iris_data.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "ae7eefa3",
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   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd# It is used for data manipulation for data cleaning purposes,even it is helpful to treat missing values\n",
    "import seaborn as sns# visualisation library based on matplotlib\n",
    "from scipy.stats import skew \n",
    "from scipy.stats import kurtosis\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import accuracy_score,precision_score,recall_score,f1_score,confusion_matrix,classification_report\n",
    "import numpy as np\n",
    "# Load the Iris dataset\n",
    "iris_data = sns.load_dataset(\"iris\")\n",
    "\n",
    "# Display the first few rows of the dataset\n",
    "iris_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "715519db",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.843333</td>\n",
       "      <td>3.057333</td>\n",
       "      <td>3.758000</td>\n",
       "      <td>1.199333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.435866</td>\n",
       "      <td>1.765298</td>\n",
       "      <td>0.762238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.300000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.100000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.400000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       sepal_length  sepal_width  petal_length  petal_width\n",
       "count    150.000000   150.000000    150.000000   150.000000\n",
       "mean       5.843333     3.057333      3.758000     1.199333\n",
       "std        0.828066     0.435866      1.765298     0.762238\n",
       "min        4.300000     2.000000      1.000000     0.100000\n",
       "25%        5.100000     2.800000      1.600000     0.300000\n",
       "50%        5.800000     3.000000      4.350000     1.300000\n",
       "75%        6.400000     3.300000      5.100000     1.800000\n",
       "max        7.900000     4.400000      6.900000     2.500000"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "15c06d6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "species\n",
       "setosa        50\n",
       "versicolor    50\n",
       "virginica     50\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.species.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "c8768676",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(150, 5)"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "3e04c840",
   "metadata": {},
   "outputs": [
    {
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     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skew(iris_data[\"sepal_length\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "b2550648",
   "metadata": {},
   "outputs": [
    {
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       "0.31576710633893473"
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     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skew(iris_data[\"sepal_width\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "171ec32b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.2721276664567214"
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     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skew(iris_data[\"petal_length\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "39444e92",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "-0.10193420656560036"
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     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skew(iris_data[\"petal_width\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "1f1d7371",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.5735679489249765"
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     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kurtosis(iris_data[\"sepal_length\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "372b9675",
   "metadata": {},
   "outputs": [
    {
     "data": {
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     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kurtosis(iris_data[\"sepal_width\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "fd85a1f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-1.3955358863990055"
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     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kurtosis(iris_data[\"petal_length\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "ee72e68d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kurtosis(iris_data[\"petal_width\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "acbe96c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
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     "text": [
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(iris_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "51331b85",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='species', ylabel='sepal_width'>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=\"species\",y=\"sepal_width\",data=iris_data)#we have one categorical value in the dataset so use of hue is not needed here because for hue we need another categorical varible"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "717da0ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/x_/bydwqxmj22b17_nc_zdgjlhc0000gn/T/ipykernel_94545/2187622543.py:1: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(iris_data[\"sepal_length\"])\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sepal_length', ylabel='Density'>"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(iris_data[\"sepal_length\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "0994010d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/x_/bydwqxmj22b17_nc_zdgjlhc0000gn/T/ipykernel_94545/553623762.py:1: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(iris_data[\"sepal_width\"])\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sepal_width', ylabel='Density'>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(iris_data[\"sepal_width\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "6caea49d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/x_/bydwqxmj22b17_nc_zdgjlhc0000gn/T/ipykernel_94545/3698908200.py:1: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(iris_data[\"petal_length\"])\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='petal_length', ylabel='Density'>"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(iris_data[\"petal_length\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "144919e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/x_/bydwqxmj22b17_nc_zdgjlhc0000gn/T/ipykernel_94545/3240252766.py:1: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(iris_data[\"petal_width\"])\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='petal_width', ylabel='Density'>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(iris_data[\"petal_width\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "0b584dd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sepal_length', ylabel='sepal_width'>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='sepal_length',y='sepal_width',data=iris_data)\n",
    "#two columns are positively corelated, with the increase of sepal_length,sepal_width also increases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "78a42605",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='petal_length', ylabel='petal_width'>"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='petal_length',y='petal_width',data=iris_data)\n",
    "#two columns are positively corelated, with the increase of petal_length,petal_width also increases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "3f99d3ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "species_onehot=pd.get_dummies(iris_data['species'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "85bd39e4",
   "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>setosa</th>\n",
       "      <th>versicolor</th>\n",
       "      <th>virginica</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     setosa  versicolor  virginica\n",
       "0         1           0          0\n",
       "1         1           0          0\n",
       "2         1           0          0\n",
       "3         1           0          0\n",
       "4         1           0          0\n",
       "..      ...         ...        ...\n",
       "145       0           0          1\n",
       "146       0           0          1\n",
       "147       0           0          1\n",
       "148       0           0          1\n",
       "149       0           0          1\n",
       "\n",
       "[150 rows x 3 columns]"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "species_onehot.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "7f38cb42",
   "metadata": {},
   "outputs": [],
   "source": [
    "le=LabelEncoder()#saving the instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "e3c87c90",
   "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>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0             5.1          3.5           1.4          0.2     setosa\n",
       "1             4.9          3.0           1.4          0.2     setosa\n",
       "2             4.7          3.2           1.3          0.2     setosa\n",
       "3             4.6          3.1           1.5          0.2     setosa\n",
       "4             5.0          3.6           1.4          0.2     setosa\n",
       "..            ...          ...           ...          ...        ...\n",
       "145           6.7          3.0           5.2          2.3  virginica\n",
       "146           6.3          2.5           5.0          1.9  virginica\n",
       "147           6.5          3.0           5.2          2.0  virginica\n",
       "148           6.2          3.4           5.4          2.3  virginica\n",
       "149           5.9          3.0           5.1          1.8  virginica\n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7a28ece2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fa7917c4730>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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C3kMH0JnN6ExmvEcOYczMRmc0Jk1Tl3Q6JL1e1BERhHbCld54JpfFasZiTawXFPAH2b1tHwCb1+9g8/rENru7tu8j4A+0aEDEmmbBmmZpsecThM5Ib9CTmZ1OaXE5X3y6Kuk+mqbx6ftfMH32FMz1iq8bDPqE5TSCILQNAX+Q3dv3A/Cbu/7YYHzXtn34/UEREBGEGiKc38lE/X4ibjfmrBzMOblo0ShRjxvZkPpNUWc0oQSDLThLQRBakslspFthXsrxbt27YkrShUoQhI7BZDLSNT91Cn2PPgUYDOIemiC0ByazkW7du6Yc79a9K+YWvMEhCG2dCIh0MqHyUpBlDA4HOpMJ2WxGCQaRk6TW15KNxnjhVUEQOh6zxcyN374q5fhN37m6QVaJIAgdh8Nl5/Yf3pB0TJZlLrt2NjqdroVnJQjCV2G2mLnpO1enHL/x21djtohruiDUEgGRTiZUWYEhzYZUs9bXkGZDUxWk04qp1icbjShBERARhI6se89u/PLRnyak0BpNRh545CcU9urWijMTBKElDBzWnzvvvQ19vUwQa5qFR5/+ZaPZI4IgtD3de+Qnvab/4pGf0KO3uKYLQn0i/7ET0VSFiNuNpUtdGp3OakUqBzlJO85astGIGgqhqWo8kCIIQseSZrNywSXTGDV+GEUnigHomp9LRnY6JrHOWBA6PKfLzlU3zuH82VM4cewUBoOBLvnZZGZniOUygtDOpNnTxDVdEJpIXOE6kYjXC5qGPq2uY0Ntm11NTd1sqHY5jRoOozOLFDtB6KhMZiNdu+WKdnyC0EnFii53Ia9AdJUThPZOXNMFoWnE7f5OJOJxgyShM9d1btBUDU3T0JRoysfVFlwVhVUFQRAEQRAEQRCEjkJkiHQiUY8HncWS0F5XjURAi2V/pKKryRBRQiIgIgjtWSQSobK0Gr8v1kLXmeEQrW0FoRPQNI3ykkp8Hh86nQ5Huh2Hy97a0xIEoZlVllXhqfYCYHfaSM9yte6EBKENEgGRTiTi9aC3WBO2aZEwSBJqKJTycZJOh6TToQRT7yMIQttWVVHNx28s5t0XFxAMhJBliQkzxnL73fPI6pLZ2tMTBKGZ+L1+tqzZwbOPvUhlaRUAfQb15McPfZeCXnkJN0kEQegYIuEI+3ce4qnf/IuTR08BkNe9Cz/8v2/Rd3AvDMbUzRQEobMRS2Y6CU1RUAIBdJbEu8FKJIIky6iRMJqqpny8bDCIDBFBaKcikQgfv7GY1/75DsFALLCpqhqrFq3lz/f/jaoKdyvPUBCE5nJoz1Eeu+ev8WAIwP6dh/jlHb+ntKis9SYmCEKzKT5RyoPfeTQeDAE4efQUv/7OoxSfKG3FmQlC2yMCIp1E1O8HaFAUVQ1HkHS62J8byRKRDUaURsYFQWi7KkurePfFBUnHdm/ZR0VpZQvPSBCEluCp8vLiX19PPlbtZcvq7S08I0EQmlskHOHDVz8hGmlYHzAaVfjglU+IhCOtMDNBaJtEQKSTiPp9AOhMdQERTYsVWq0NdCjhxgIiBlSRISII7VLAH4xnhiRz6mhxC85GEISWEgqFOLj7SMrxrWt3tuBsBEFoCQFfkD1b9qcc37N1PwG/+EwvCLVEQKSTiPp9yAZjPBsEQA0F0VQ11nJXklAbCYhIBoPIEBGEdspkMiLrUr/diyJrgtDxqKqKTqcjq0tGyn269cpvwRkJgtASjGYjOfnZKcdz8rIwmkQNEUGoJQIinUTU50M2mRK2hT2emj9pIMuoodSdZmSjETXceJ0RQRDaJmemk4kzxiYdy8xJx+fz89eH/sXeHQfj1egFQWifSovLWf7pah7+2f9j4duLufK2S5PuJ+tkplw4voVnJwhCczNbTMy99ZKU41d+cw5miznluCB0NiIg0kkoAT+60wIiit+PJIGs14MGSqTxJTMAaiR10EQQhLbJYjVz213zGDiyX8L2zJx0vv/g7fzt4ef46I1F/Oi6+3nnfwvwuEVQRBDao5KiMu6/4yF+f/fjrFi0hheeeh2/L8Csq6YndJMxmU384v/dRbboMCUIHVJWlwxu/vG16PR1meE6vY6bfngNmbnprTgzQWh7RNvdTkBTVZRgEFNmVsL2aCC2flCSdaBqqOFGMkT0sYCIEgol1CERBKF9yOqSwf1//gkVpVUUHTuF0WSksqKKvz38HCeP1dUQefmZt5gyczx2h60VZysIwtmKRCLMf/Ejjh8uStj+jz88z2XzZvPEGw9TdLQYi9VM1+5dyMh2oTeIj4GC0BHt2rqP3dv3c9+ff0xlWTWappGR7eKzD5aSW5BDdpesMx9EEDoJcSXsBJRgAADZmJghUlszRNLrYx1mIiqapiXcRaoVzxBpZFmNIAhtmzPDgTPDgSPDzp1X3Zuy3e4XC1fSq39hC89OEISvo7rCzcdvL26wXdM03nt5IWaLkdt/emMrzEwQhJbk8/h5938L2L5xN8s++RJnuh2A6srYUvmy4gpGTRxGmt3amtMUhDZDBEQ6gWggFhCpv2RG00CNRpHkmoCI349O1qFFIkhGY4NjSHo9SBKK6DQjCO2eqqi4G6kV4vf6W3A2giCcC5qmEWrkpoXXLc5rQegMFEUhGKxbBl8bCKkVCoaJKkpLT0sQ2iwREOkElIAfZDkW1KihRsKxqAgysl5X8+fYdjlZQESSkPX6RpfVCILQPlhtFsZOGcGapRsTtufmZXPZ9RcyeuIwTh4+hc2ZhqPmzlKtUCBEVYWbcCiMxWomPcuVsEa5KbxuH+4qD0pUIc1uJSNbrGcWhDPRNI3K0ioC3gB6owFHug1LmiU+brWlMW7qSMqKK7j0ulnYHDZ0epmdm/ey8K3P+Mbsia0yb3elB0+1F03TsDnTcGU4W2UegtBZ2BxpnDd7Ml3yc7j5+9fGP+MjS/zv72/Qf2gf7I601p2kILQhIiDSCSiBADqjKWEpjBoOgyQh6eTEVrzhMKR4j5QNBpRGWvMKgtA+pNms3H7XjWxes51QMBbkHDSyP/PuuJJ3//0h7/3zIwC69+3GHb+8me59u6HX66koqeT1Z95h6UeriNYEM666Yw7T5kzGme5o0nOfPFLEPx5+nm3rdgGQk5fNdx+4lUEj+yV8uRMEoY7P7Wfr6h288uSbVJVVI0kSI6YM5ea7ryM7L1YLIM1m4Tv33MKuzXt5618fUHaqHIAhYwfwf0/9nG498lp0zkpU4eiB4zz9239zYNdhALr37sYPfn0HvQYUYjCKtp+C0BxkWWbGnCkMHzOIfz30X47uOw7Erum33nsDmV0zkGXRV0MQaomzoROIBgINsj5qMz0kWY4VVY39gBqJpDyOpDegiBoigtAhdOvRlaff+APTZk/E7rRx24+u5x+/fi7+wQng6L7j/P67f6b0ZDnuSg9P/+bfLH5vOdFoLNXW5/Hz4hNvsPjdZUQj0TM+Z2lRGb+44+F4MASg5GQpv/vRnzm879i5f5GC0EHs2rSHvz/4b6rKqoFYtsim5Vv5w4+eoKKkMr5fZVkVz/zuv/FgCMD2dbv56y+fbdI5ei6VFJXxwG2/iwdDAI4eOM4vv/UwxSdKW3QugtDZ+DwB/vDDJxpc0//woyfwewKtODNBaHtEQKQTUIIBZFOSgIgEyDqoiRJLsowaTR0QkQ2GeCFWQRDaN71eT/de3bjroe/zr/f+wuZlW4mEGp7/kVCERW98js/rZ+vanUmPNf8/H1FZVnXG59y+YTdV5dVJx1544jU8jdQ1EYTOqqqsmteemp90rOR4KScOxbrKuCs9/O+JN5LuV1Faxd6tB5ptjqdTogqfvbuUYKDhZ4ZoJMo7//2QsLjBIgjNIuALsOjNzxu9potaYYJQRwREOjhNVVFDIXSndZhRIhEkCWSdDkmuWUojSY233jUYRJcZQehgLFYzer2BvVtSf1nas3kfnqrUwYqgP4jfd+Y7Tpu+3JZybP/OQ4SSfHkShM4uHIpQfKwk5fjeLfvj+x3cfSTlfqkCms0hGAixff2ulOO7tuzD7xV3qQWhOXiqvRzccTjl+IEdh0SRZUGoRwREOrjarjANlsxEIoAUK7ZaU0sESWo0Q0TSG1AjYbTa4kyCIHQIBpOejNzUhU0zctIxWxoWW64lSRJGU+rxWnndu6R+jq9QnFUQOgOdXsaSZk45nt01VkNE1km4MlMXLO1SkHPO55aKwWggq0tmyvGM7HSMooaIIDQLk9mEKyv1e4Ery4mpkWu6IHQ2IiDSwSnB2oDIaRkioRCgIdUul5Fi/9caqSEiG2I1eEWnGUHoWMwWM5fcNCvl+CU3X4jNYUv5AWvMN4Y3qajq1NkTkGUp6dhVt19KeparSfMVhM7Elelk5jXTk44ZjHoGjOob3++KWy9Kup+skxk/ffQZn6uqrJod63fzr4df5IW/vMbBXYe/0lI2o8nA5TcnnwvA1XdchtVuPevjCoJwZs4MBxfeMCPl+OwbLmhyIXRB6AxEQKSDUwIBQEI2JN6JqQ181HaYkWQZNNAUBU1Vkx5L1seOIQIigtDxZOVlcsXtl9QtoQMkWeLy2y8mOy+TjJx0Hnz6ZzgzEj9E9ezfndvvvQmr7cwdYrJyMrj3Tz9Gb0hscDb90ilN+rImCJ2RTq/jgmvOY8TkIQnbTRYT9zzxYzJyYtldsiwz+cLxTLlwfMJ+RpOBn//5R2TmZjT6PJWlVTz14L/4/ff/zJJ3l/Hxa5/xy1t+z9v/+gB3lees551f2IVv3XsTsq7uo6YkSVz3nSvoPaDHWR9PEISmy+2Ww9xvzWlwTb/iW3PIbcFsMUFoDyStE65/cLvdOJ1OqqurcTg6doTUc/AAwdISnP0HxLdpGpRv2ogkgykzC53JRLC0FEmS0ZQI9n4D0RkbptIp4TDVO7eTPmwE5szUqbCC8FV1pnOzrdmwbDNrP9/IxJljOXWkGA3oWpjL6s/WM2baCMZMG4mmaZSXVFB0pJiyUxUU9M4jq0tmo2n6pwuHwlSWVXN471H8vgB9BvXElenE7rQ134sTvjZxbrY+T5WXyrIqjuw5it1lp1uvPFzZTvT6xACjp9pLVVk1B3YfJs1mpbBvN1xZrkaXqGiaxqK3vuD5P76cdPz//n0f/Yf3Pes5B/xBqsur2b/rMKqi0GdwL1wZziYFUIWmEeemkMyGZZuRZR3ZeZkc3HkITdXoPaQXZUXlRKNRxkwb2dpTFIQ2Q3/mXYT2TAkGkE/7EKQpSiwqghTrMgMgy2hKLDamRSOQJCAi68WSGUHoiPzeAB+9vIhdG/ew7MNVZHWJ3UkuO1UBQMmJUgaN6o/VbiUrN5Os3K8eEDWajOTmZ5Obn31O5i4InYXdZcPustG9T7fG93PasDttFPTOb/Kxqys8fPL64pTjn775Bb0H92wQfDkTi9WMxWqmS0HuWT1OEISvLnZN/5RdG/cCMOa8EQA887v/AjBwVD8GjR4gApOCUEMERDo4JRhMUlC1LqAhx2uI6NC0UM148joikiwj6XSi9a4gdDBKNErQH4z/XBsIqRXwBlCU5EvpBEFo/1RVJVDvPeB0Po8PVdHEp0ZBaAeUaJSAr+58Xv/F5oTx2DVdaeFZCULb1e5qiPTo0SPWFeW0/37wgx+09tTapOQBkXoBj5q1hZIsoamxrBGtkU4zst4gMkQEoYNJs6cxdvqolOPjzh9NWk0BxGgkirukioqT5XjK3DXvG4IgfFWapuEt91BxspzqkioiodTX4OZic1gZNWVYyvHJF47HaBJdYYSOKeDxU3WqgqqiCgKe9t+ONs2exrgzXdNtoqixINRqd7H+devWJUQ1t2/fzsyZM7nmmmtacVZtkxqNoinRBvVAagMikqxDkmqKLckymqYi642okWjKY0oGPYoIiAhChyLrZKbMHs8nbyymutydMObMcDDlognIOhlvhYd1761i26cbiYajWJ1pTLx+Gn0nDMDqSGul2QtC+xX0Bji8+QDLXlyMt9yNTq9j4LShTLx2GvaslqsHYTQZmXPzhaz6dG3CnWWAnPxsBo3u32JzEYSWoioq5cdL+ezZBRTtPg5A1375zPjuxWQV5CQUBG5PZJ3MlIsm8MmbSxq9pguCENPuzobs7Gy6dOkS/+/DDz+kd+/eTJs2rbWn1ubUtdw9LSASjiDJUrzlLtRkiCgqkk53hgwRvcgQEYQOKDsvi9/++36mXz4Fo8mI0WTkvMum8Nv/PEB2XhYBj59Fz3zIpg/XEg3Hgqb+ah+L/7mAXUu3ifRbQThLmqZxaNN+Fvy/d/DWfGlRogrbF2/mgz+/ia/K16LzycnP5vcv/IqJM8eiN+ixpJmZff0MHvzHPWfsUCMI7VF1SRWv/eL5eDAEoGjvCV77xX+pLqlqvYmdAymv6c/dT3ZeVmtPTxDalHaXIVJfOBzmpZde4u67767LdBDilFBNQMSQpIaIJMf+qyHV/FmSdajRRjJE9AYUf8t+SBMEoWXkdsvhm/fO4+rvXI6madhdNoym2PuHr9LLoQ37kz5u9RvL6DthII7spnebEYTOzlvhYfmLyQuZntp3EndpFWmulsu8kmWZvMIufOdXt3LjT65BkiTsLhuGRrrTCEJ7pUQVti3aSCTY8CZgNBRh88J1fOPmC9AZdK0wu3OjsWu6IAh12nVA5N1336WqqopvfvObje4XCoUIheoKgbrd7kb27jjUYBAkCem0qvBqJAISSPXT5WqLq8oy6hkyRMLhll/fLHRMnfXcbMuMJiMZOQ0/MFWerEiyd0zIHyLkDwIiINJRiHOz+UWCEbwVnpTjxQeK6Nq36Z1izhWz1YzZam7x5xWaRpyb50Y4EOLotkMpx49tP0woEMRqaN/LQVNd0wVBqNPulszU99xzz3HRRReRl5fX6H6PPvooTqcz/l9BQUELzbB11RZUPT17pnbJS8KSmfq1RBqtIWJAi0bQVNFxQvj6Ouu52R517Z9PXv9Yu8/sHrl0H9YTR44rNiiBXtxF7lDEudn8dAYdsj71xzBnTnoLzkZoL8S5eW7oDHrSXDYA9EY93QYXUjCkEH1N8WCrMw29oV3fNxYEoYkkTdPaZYuAI0eO0KtXL+bPn8/ll1/e6L7JoukFBQVUV1fjcLRc0bKWVrljG2okjL1Hr4TtFVu3oqkKepsdo8MOgBKOECwuxpSVSdRdjXPwsKTLkMLVVXgPHSRn0hR0JlOLvA6h4+qs52Z74S6vxlftZ+fKHQS8fvqN6U9GXiZbV23jxKFTFPbtRkaWi+ObD3Le7RdiThN3lTsKcW42v0gowuJnF7Dzi60J2y0OK9Num4XBYuTQloM4spz0HdcPR6YDQzOnu3sqPZQXlbN1xXaMJgPDpg7Dle3Eak/sSFFVUkV1aRU7V+1AkmQGTxmCI8uOM8vVrPMTxLl5Lh3bfphjO46QWZjD4a0HAegxtCcVx8vI69+NwmG9znCEtq3iVAXeCg87Vu4AYNDkwdgz7GR0ETWBBKG+dhv6fP7558nJyeGSSy45474mkwlTJ/zyroaCyKbELyiapqFGIkg6KWmGSO3/NSWKpG94x1eu2aZGwiIgInxtnfXcbA/c5dVsW7adj5/9KL5tzfuryeuTx9yfXc0rT72NGlVxZTm558kfi2BIByPOzeZnMBmYfMN0yo+VUnygCIjdqZ7948tZ+M+PqDhRHt938fOfcOXPr6XPmH4Ymqn9rbvCzWt/eoOda3bFt338wqdcMG8G06+ZRpoztnSgsriSj/+9gJ0rdsT3W/n2ckbMHMWMm2bgEpktzUqcm+eOs0s6mxZtZMlLdbV81n2whsHfGMrg84a34sy+vopTFSx+cRFbP98S37Zq/gqGnjeMC26ZRUZXERQRhFrtcsmMqqo8//zz3Hrrrej17Tam0+yUYBDZkPjBqbblLoCkq5cBItcEQqj5f4rCqrX1SESnGUHo2HzV/oRgSK2T+0+y6dMNXHrrRQBUlVXzwh9fxesWxZYF4WzZsxxc8Yvruf7R25h+x4Vc9X83sWXJ5oRgCICmasz/45t4K1PXHPm6dny5MyEYUuuzVxZTeqIs/vPRnUcSgiG1Ni/ayKlDxc02P0E410qOlLB1yeYG23cs28apQ6dafkLnUNH+kwnBkFrbvtjKyQMnWmFGgtB2tcuAyGeffcbRo0e5/fbbW3sqbZYajaIpCrrTWu4q9QIZklxXOTveZab28SnqiNQGWBQREBGEDm3b0q0pxzZ8sp6RU4bFf963ZT/eKm9LTEsQOpw0l428ft0YefE40ly2pMEGAE1VObrjSLPMwVPp4Yu3lqUcX/HeSpSogrvCzZoPVqfcb80HX+Lz+JtjioJwToX8Ida8uyrl+Op3VhL0BVtwRudOdXk1az5MfZ6u/WAN7gpRjFcQarXL9IpZs2bRTkuftJiULXdD9QIZ9druxiIhErV/q1qKTjOSLMc60YiAiCB0aAF36i814UAYnS4xnh5tpBizIAhNoyoqalRJOe6vbp5MLFVRCXgDKce9VV5URUWJKo1+SQz6gkTD4r1AaPtURSHYyO980Bto9Fxsy5SoQtCb+jwNeAPiPBWEetplQEQ4MzVYExA5LUNEDYdq2u1qCW13JUmKxUc0QJZRlcY7zdRfeiMIQvvhrfAQCUXQGXSkuWzo9LqE8YA3QDAQpN/4/qz/eF3CmCRL9B3dj5EXjSEcjXLTPdez4qMvKS8qb1B0URCEpvNWeokEw0iSxNhLJ7BhwVpUpWE3t8IhPZvl+S12CwPG9mftaed8rRHThmMwGUhzptF7ZG981T5GzBxF1z6xLn8ndh9jy2eb6DO6LzZH+25TKnQOJquJvuP6U1VcyfALRtGtpovaiX0n2LxoI/3GDcBka5+1sWzpNnqP6kNVSSUjZo4ir1/stRXtPcHmzzbGztOaDjuCIIiASIelhIIgSfGaH3XbQ0g6XaxoqnzaiilJBlVBknUpa4gAyHq9yBARhHYm4AlwaNN+lv1vMe7SaoxWE6MvGcfIi8diS7ejqirFR0t466l32L1+L/c/eze5PXIpPhyrCaDT67j8rivZsWUfjz/wDAFfgMzcDObcNIueAwpxZTpb+RUKQvsT9AU5vvMIn//nUyqLKjCYDAy9YCRX3Xct7/zlbaKhupsPhUN74sxpnvPMaDIy4/rz2fzFFsLBxOu7K8dF/9H94vtNuGwiPUb2Yf7zH7LzmbeRJImh4wdxxc+voUtBDjqDLtlTCEKbIut0jLhgFAUDurP2nZVs/GA1aNB9aA/m/uxqMrtlodO1z99lo9HImNljKRhSyDsvLOClf72LpmkMGTeQuT+7itxuORjNzduxShDakxavIRIOhzl+/DhHjx5N+E84t5RgCNlgbNA6VwkGY4EQSW4wJskymqYi6XSojQREJJ1e1BARhHZEVVT2frmTDx+fj7u0GoCwP8SXby7ns2cXEvD4KT9VwZ++/wS71u1B0zT++eB/uOb+6xl3yXgMJgOTrp7KkgWr+OiVTwn4YmnG5cUVvPCX1zi6/zgaYhmjIJytI1sPMf/h16gsqgBirXg3frSWDR+s4eLvzwHAlGZmynXTuOKeq0hrxru6kk7mm7+5hf5j+iFJEjqDjlHnj+SGe6+rKzAGRBSFP937NDs37AFi3eu2rt7B4/f9najSPpcYCJ2Tqqi8/+c3ObL1ELWXsKPbDvP+n95MmqHVnoQjEf7887+zfe2ueJmB7Wt38eef/42wyPIWhAQtFhDZt28fU6dOxWKxUFhYSM+ePenZsyc9evSgZ8/mSQHtzJRQENmY2GFG02IBEWrqgJxOkiQ0VYtlkKSoIQKxwqoiQ0QQ2g9vhYel/1ucdGzvl7sIeoOs+nB1Qm2AilOVPHzHnzBmpPGdJ77PgEmDWL90U9JjvP6Pd6msCbQIgtA03goPn//nk6Rjx3ceJasgmx89dzffffoHTL3hPOwZjmabSygY4qP/LOQ/D/2P7O653PzgTcy77wY0WeLv9/2LbatihV4jkSifvLGEUCDU4Bg+j5/lC1ajiKCI0A4oisK2zzYS8jX8XQ4Hwmz+ZANKO60hEglF+Gz+0vjNi/oCviCfvf0FkZAIighCrRZbMvPNb34TvV7Phx9+SNeuXRtkJwjnVqzl7mn1QyJhNEWJ/d0nCYggSbElM0YjaiR1wEPS61G9zdf6TxCEcyvkDxL0pC4e56nysiNJu81oOMp7z3zI7rV7mXDpuJSP97l9+L1+IONcTFcQOoVwIBTP2Erm1IEiRl00tkXmEvAG2bNxH36PnyVvfMGSNxLHt67YzoSLxhPwBdi6emfK42xetY3Z151PmqgjIrRxYV+Ig5sOpBw/vGk/46+chLUd/i67qzzsXL875fiODXtwV3nJzE1vwVkJQtvVYgGRzZs3s2HDBgYMGNBST9mpKaEgemtikUPFX+8LUYqAiKZqTashEomgaZoIbAlCO6A3NP5WbzQZsNek4usNOvL75ANwYv8JlKhK155dsDtTp+qnZ7uw2kRRVUE4G7Jeh6yTU6bmO7Jari6PTqfD5kzDXe7GaDaS16srSlThxIGTqIqKI9OBTiejN+jj7xUGo57ufQrQ0Diy9xhKVMGebkN3hvcbQWgLdAY9FkfsumU0G+k7aSAA+1btIhwMY3Fa0enb5+9y7JpuB8BsNTPu/NEArF2ygaA/iN1lw2gyNHYIQehUWuxMHzRoEGVlZS31dJ2apihokUiDDjMRnze2HEbTki6ZQZbQVLWm6KqSMuAh6fWgqrFsk3Z6sRCE9s7n8VFZWs2WVdtRFZXhkwaTkZOOLUngwuKwUji8F0e2HGwwZraZSXOmccH159Otbz79hvfh6M4jaJrG3O9eitlqYu/WA+gNemzONLz12n5m5mYw70dXoyoqy95bQU63bPoM7UVW18wzBmEEobOzOtPoP3kQu5ZtT9huSjNz/u2zMJgMfPnGUmwZDgqG9MCWYUdvTDyvvJUeKosqOLTlIFZHGr1G9UbS6yg/VcH2tbuwOdMYMm4griwnZmvqjhn2dBuz5s2g/FQFXQpz2bftAAajnktun832VTuZPGcCOr2ONLuVy26ZzcHR/ek3tDfHdh4FSeL6717B1rW7GDZpMF9+tJpQKMyQCYOwOdPwuf1sXb0DVVEZNmEw6TmupO9TgtCSjBYj466YxPCZo3BkOzm8aT+aBtc+dDPeCg96owGT1dTa0/xK7C47s6+fwaxrppOTm8me9XtAg4ufOZ+y4kqQpXhgUxCEZg6IuN3u+J8fe+wxfv7zn/PII48wdOhQDIbEyKTD0XxrYzsbJVTTcve0JTMRtxu9xYIaCScNZEiSjKZGkXS6WMERVYUkFbZlfezfTg2HkUVARBBanKfay0f/+5SP/ldXf+CNv7/DtEsnc+2dc3Fk2BP2N9ssXPj9Obz+mxepLq6KbzeYDVz1q3mkuWzkFmSza+UO/vebF+Ljy95YysiZo0jPz+S1//cW3/3VN3n61/8mFAhhd9n4zq9u5YU/vEJlSWXdc1lN3PX4D+k5qBC9eH8QhJSMZiNT502n5FAx5cdKAdAZdFx695WseHkJZUdK4vvKOpnL7ruW7kN7xoMi7jI3b/3hdY7vqilML0nMve9q3n9lEbs37o0/VpIkvvWrWxh7/igsjQRFeg/rxZolG3jzmXcTtl92+8U462Wr9OzXnf2rd/PKb19K2G/i5ZOQNYlXn3gLiNUx8Lp9LHrj8/g+b//jPaZeOomrvnc5jvTE9ylBaGmuLumsf3cVWz/dGN+2+o1lDD5/BOOvntKKM/v6uvfpxrLXvuCtha/Fty1+6TPGXDSW8647r/UmJghtULN+WnW5XAkZBpqmMWPGjIR9arMQRBGuc0cJxQpE1c8QUYJBon4/li5dCJWXJV0yEyuqGssQAVCj0aQtx2qDKaqoUi0IreLEwZMJwZBaSz9Yycipwxg9bUSDMVeXdOY9chtlx0op2nuc9K6Z5PXvhj3TgayTKT58irUL1jR43KZFG7ny7qvxVvv49OXP+PHvv0NVRTUZORl88J8FCcEQgKA/xNMP/JNf/PMecrvlnLPXLAgdTSQYZsuHa5h05WSQZYoPFZE/sDv7Vu9KCIZATTeMP77BbX+9E2duOkpUYd2Ha+qCIUDP4b3YuWV/QjAEYp+z/vW7F+gzpBeWHl1SzmfPpn1sWralwfb3/7OA4ZOH4KoJipw6WMTGRRsb7Pfle6vo1r8bdpcNDcjuls07//dhg/2Wf7CKEVOGMnLq8Eb/fgShuZUfK00IhtTasWQzvUb3xdWOa2wUHz7F2oVrG2xfv3AdA8cPJCsvqxVmJQhtU7MGRD7//PMz7yScc0qwNkOkLgvHd7IISadHn2YjWFqMJCfprS5JqDU1RIBYHRFTw3TB2qwQ0WlGEFpeOBjm41eTd4wB+Oh/nzBgZN+kRQ3tmQ7smQ56juidsN1X7WPlu6tSHnPLkk2MPm84i99cyjO/+DcF/bpx2y9v5sD2Q0n391R6qSypEgERQWhEwO1n77Lt7Pl8KyabBWeXdAqH9mT3aUtoaqlRlRO7j+HMTcdX5WXdh4kBzAFTB/Ofx19N+XxrF2/gijsuSTrmrvSw8OVFKR+7ZP4yvnlfAeFgmKVvLk2539bPtzBy2nBURWXNovUp91v40iL6jehLml3UHhJah6/Ky+YF61KOb164jq7987G1w0ymqrJqvmzkmv7le6vI79ctHuQUhM6uWQMi06ZNi//56NGjFBQUNKhJoWkax44da85pdDpqKIhsMMT/rsPV1YQrKzDn5oIWK94myUmKocoyaPUyRJTkhVXrMkREQEQQWlo0EsVd4U457qn2EY2cXcZdJBzBX682yOn8bj85ffPiPx/be5xIqPHz3+/xn9UcBKGzUaMqWk1B1ZA3QMn+AEpEabTVp68qdp6qqkb4tNa3BrMBnzv1eVdxWjZXfUpUwVvtTTleXeZGURSUiIKvOvVz+D0BuuRloCgq3oMnUu7nrfYSjaQu3i4IzS0ajhJo5DoV8PiJhtvn72gkFMHfyHuBr9on2u4KQj1JKms2j549e1JaWtpge0VFBT179mypaXQKSjAYXy6jaeA7cQKd2YLR4UBTYx+0khZVlSQ0RYsvp0nVaUaSpFjr3bB4MxWElmZOMzNyyrCU40PHD8J6FnddAx4/eoOO3iP7pNyncEgPju2v+3LTe2hPLDZLo0UacwpEdoggJOOv9uEurULSSdiyHDhyXYy/4Twu+MkV2DPtuLqmbl+dP6AAiHWRyOubnzBWdqSUvsN7J3sYQKPvG1a7hUFj+qd+7DeGYTQZMdvM9B/bL+V+hYMLObrvOMf2H6fv8NTvKYPHD8Jqt6QcF4TmZnVaKRia+vtHwZAeWF3tr+UugD3DRq/hvVKO9xrRG1s7fW2C0BxaLCCSqmOJ1+vFbE79oVo4e0ooGC+oqgQCKIEApoz0moBHbYZIktogkgRoSBKxTjNnaL2rREIpxwVBaB6yLDNh1lhsSZbEmCwmZl13PgbjmZP/ouEIxftP8sFjb/D8955izKwxmNMavhebrGYGjB/Iti93ALHssqu+dzmZuRlc+s3ZSY89fuYY7EnmJwidWcgX5PCm/bz9f//j+Tuf5rN/fMi0717M6KumsG/FDj578l2+fGkxU+ZNT/r4Lv3ycea6gFiHmlnfuQjqfa7aumgjl900O2kGaJeCHAr7F6Scm8ls4pJbL2rQxQbAmelg2MQhQKyF94TLJmK0GBvsZ7Fb6D2yN7s37GXvpv0MGt0/6dI9k8XEBdec16C4viC0JIPJyNAZIzAlue4ZrSaGzxqN0dTw97w9MFvMjLt4fMpr+viLx2NJEwFJQajV7C0A7r77biD2ZfvBBx/Eaq27c6koCmvWrGHEiBHNPY1ORQkGMTpdAITd1SBJ6Gv+3jUldYZIPGClqkiyDrWRgIjIEBGE1pPVNZNf//vnvPrU22xeuQ1N1Rg8biA3/fQacppYKK38WBmv//J5NFUDCbSIwrf/+B0+/s9C9m/cD0DfMf047/rzePXJt9FUje79unHND+bSpTAXg8nAhFljsTqsfPD8QiqKK0mzWzn/6vP4xqWTErpSCEJnp2kaR7cdYsFf3o5vC3oCBKp8fP73usKjJfuLcOYd5pK7r+TL15dRcaIMvcnA0AtGMubyiaTVa5XZpWcXbv3D7Xz8zEcUHzpFwBskUOHhl//4Gf97/HWO7DmG3qBn0uxxzP3WHDJyGi8QmdMti189ey+vPPEmezfvR9bJjJo2nKu/dwWZXeqyVjJyM7jzyR/w0TMfsm/jPiRJYsD4Acy67UI+e/OL+H4bvtjMfX/7KW//8322rtqOpmoMGjuA6398NdldRUFHofXpzQau+b+bWP7yknhb+u5DezL1phkYzO0zGFLLmevkO3/+Lgv/vSB+Te8zqg8XfetinLni+iwI9UmapmnN+QTTp8fudCxdupSJEydirNf5xGg00qNHD+655x769u3bnNNI4Ha7cTqdVFdXd7h2v5qqUrJyGdb8bpgyMqnetx8tEsZaELszFK6uJlRWgqVrXoOMnWggSKisDHuvXoTKSpBNZtIKCpM+j/fwQZAkMkeMavbXJHQeHfncbA4BXxCv2weahtVubXKBwqA3wEd/eovjO48A0H14L3ILczmyYR+jr52KPTcdNPBVuIkGwji7ZyNJEkazkYwuDdP5S06WEg0r6PU60nNcGIzizm9HI87Nr8db4eb1B57HW+GJbzv/2xexfcE6PKXVDfZ3ds1g5k/nIht0yLKM1ZWG3pD8Hpav2ks4EEaWZdJcaeiNBjyVHgL+ELJOwuGyYzyLL3c+tw+/N4AkS9gcaSmXxgW8AQLeAEhgtVkxp5kJeAP4auoypDmsWNIsBHxBfG4fmqaRZree1ZI+4czEufnVKBGF9fOXc2DVLsZeNw1n1wzQNDwlVax7Yxk9xvRjzDVT0LfzTKaK4kqioQiapmGwGM8YGBWEzqjZM0RqO83cdtttPPnkk+LNupnFW+7WLpnx+zDY6/2dKwqSrEu6fKl2m6aqcMYMEQNKQBRNFITWZEkzY0mSEnsmkWCY47uOxH/O7d2Vou1H8JRW88XfGrbJzCzM4eIHrsOS4otMTl72Wc9BEDqTsD+cEAwBsDjSkgZDAKqLKijadZTBM8980yHNaSPttBu+9nQ79q/YHSPNkZZ0qcvpLDYLFpvlzNu+4vuUIDSngMfPiW1H8Ja5+fxvHzQYP771EINnjcae1b4DIhntuHWwILSUZg+I1Hr++edb6qk6NTVU03LXaESNKqjRKHK9NZCaqiBJKUrH1AZENA1Jp2u0ra6s1xMRS2YEoV2SZAmT1UzIF3u/iATD8XXUOqOOAeeNAGD3F5tRwgrGNDM6XZJW3YIgNImslyFWpitOkiUkWYotW0vCLDIpBKHZ6PQ6TFZTynFTmhmdocVKLQqC0IpaLCBy5ZVXJt0uSRJms5k+ffowb948+vdPXeVcODMlWBMQMRiI+mMZHHK9ZUqqokKylrtQV5xN1c5YVFXS61GjkZTFcluSu8LNyUNF9B/Vr9XnIghtma/CQ9WpCvxuP0NnjmT9u18CsH/NHiZdN42hl43HaDWxf9MBAC761TyigTBEFYxWE6qq4i6rpujgKSqLKsjrk0dGXiaOTJH5JwiNsTis9BjRm8M15xbA0S0H6T6yN0c27G+wv6zXkd4tk00friEtw05unzxsGXZ0+jMHJj1VXipLqjiw9SBWu5VeQ3rgzHI0KBBZXVaNp8LDgS0HMJqN9B7eC5vLjtWRGIjxun1UlVWze+Ne9AY9/Uf2xZnhwGoTRRmF9svisDJo1ihO7DiSdHzwrFFYnbakY+1FRXEFIV+I/ZtqaoiM7IMpzURGbupOVoLQGbVYQMThcPDuu+/icrkYPXo0mqaxadMmqqqqmDVrFq+//jqPPfYYixcvZvLkyS01rQ5HCQWRDAYkWY4vn9EZ6mWIKErylrvUWzKjxZbVaEo0ZcBD1utB09CiUaRWXF+pRBX+9IMnKT5Wws0/v56pl4nfHUFIprqkincffoWqkxVIssQlP7ua3D55FO8/ibfcTVafrqz+aA0r569IeNzkuVOYNHcSqqpStP8k//3FfwjWZJYAZOZncuvvbyM9SW0RQRBiTFYz590xm7d/+1J8mcyuZVuZc881VB4vw11cFd9XkiW+8a3ZLH3+U45uPQSAzqDjsvuvJ39Q90aDItXl1bz8x9fZ/uXO+DZZJ3PbgzcxZOJgTJbYHfGqkko+/OeHbF++PeF553zvUoadNwy7K7bcxl3p4e1n32fJ/GUJz3PdD+Yy/YpvkOYQWSxC+5VZmEO/qUPYW+88AOg9aSBZPbu00qzOjYqiCla+tzL5Nf2KSWR2zWylmQlC29NiAZEuXbowb948nn76aeSaL+SqqvKTn/wEu93Oa6+9xve+9z3uu+8+VqxYcYajCakowXotd0MhJJ0edHUBEE1RkFOlvsu1NURiGSKxPyuxY5xG0se2qZEw8hkCIkfW70WJKPSaOPCsX8+Z7Fi7i+JjJTgy7Cx+c6kIiAhCEiFfkC/+vZCqkxVA7Bz/5Kl3mXrzBYycM56QN0B5UUWDD04AK99ZQd/RfTEaDbz46xcSgiEA5SfKef+p97juF9djFm38BCElZ2461/zuVsoOF3N8xxGcuS5ceRnM+eUNVB4v48SOI9iyHGQW5rLmreXxYAjECkC+/4fXuPmJ7+PMcSU9vqqorPl4fUIwpHb7f377P3790gPkFuQAsGv1roRgCMTeFz74+/v0GNwjHhDZt/VAg2AIwOt/e4eBo/vTe3DPr/NXIgityl1STeGYfgw4fziHN+wDDXqM7kvQH6TqVCWOFOdae1ByrKTRa7oIiAhCnRZbHPfcc8/x05/+NB4MAZBlmR/96Ec8++yzSJLED3/4Q7Zv397IUYQziQVEYgEKNRxGPr0qvaKkXDITry2iqnUBkaiSdF9ZX/ccjQl6Ayz92/usePYj/JXepr6MJtu2agfpOS6+cfkUTh4qoqK48pw/hyC0dwG3n8ObDyRsiwQjLPnXQr547mMKRvZm1bsrUz5+5TsrCPpD+Kt9SccPbNqPryr5mCAIdeyZDnqO7svUWy5g2IVjcGS7sGU6KBjeiwnzptNjbD/efugljpx2vkIsKFK093jKY7srPSx+4/OkY5qmsfHzLQBUnqpgZSPn+7qFawHwVvv44MWPU+738WuLiYRTL60VhLYsHAyz4b0vef+x13nnkdcI+EMEg2He+8NrvPfIa6x/bxXhQKi1p/mVuCvcrHyn8Wt6dbm7BWckCG1biwVEotEou3fvbrB99+7dKErsS7fZbBY1IL4mJRhEV1MzRA2HY0tb6lFVBUmXqqhq7H+apiHJtQGR5B92ajNElDMUVi3efSz+56Kdyddpfh37tuynW598CvrkA7B/28Fz/hyC0N5FI9GEYo71BT0BIsEI3kYClt5Kb+wYKWiaJr4YCcI5EA1GUBo5l3yndaqpT1NVvI0EJiuLYxliqqo1GsB0V7iJRqJEI1HcjXxpqiqtIhoRxdWF9kmJRPFXx657YV+QrR+vZ8vCdQS9sSzIQJUPJZL8pmBbFw6G8VWd4ZoeEueuINRqsSUzN998M3fccQe/+MUvGDt2LJIksXbtWh555BFuueUWAJYuXcrgwYNbakodjqaqqOFQfMmMGg6js9RLYdc00FQkKfmSGUmSYoVV62WIqEqKgEjteKTxDJGKoyWYbGZ0BgMVR4rpPfnc/fuGAiGKDhczZMJgrHYrzkwHR3YfZdwFo8/ZcwhCe+cudyPpdUy+eQZlh07RZ+oQLA4rkVCEQ6t3ozfosdgt9Bjak5MHTiY9Rq/hvTBZTUy6cgrFh04xYMJArK40Kk6Ws/GT9QQ8AcyiraYgNEnQ4ycajiLLMhZXWsKNIL3ZgDM3neoU2Y5d+3VLeVyDyUjPwYUUHy1h4sXj6d6/gEg4yualW9i+eicDxw3AXe5G1sl0H9idPev2JD1Ov9H98Hv8KFGF2TfO5O1/vs/4C0YzcGQ/NE1j88ptbFm1ndk3XEDQFyLkD2F1WBsUbRWEtsxoMVEwtCflx8voN3EQhSN6IQFHthxi76odFAztgdGSugtNW2Zz2Sgc0iPlNb3HkJ6kuc7cWlsQOosWC4j8v//3/8jNzeWPf/wjxcXFAOTm5nLXXXdx3333ATBr1ixmz57dUlPqcNRwLLWvtquMGolgsNvj41pNJk6qoqqxMQlN06Bmn5QZIpKEZDCcccmM+1QFaZkO9EYDVSfLm/5imuD4gZNomkZOt2wAsvKyOJHizV8QOhtPlZddX+5i0UuLqCyu4qYHbyR/XD9efWo+x/efID3HxQXXTWfA6P6898BzzHzgBtZ/vI5wMPGcNpqN9B83gN/Me5i+I/pw8a0X8uX7q9jyxVbyenflvBtnYHVYsWfaU8xEEASAcCBE+ZES1r36OWWHT2F12Rh6yXh6jR+AxRn7cmJLtzPl5hl89Oe3Gjw+u0cXnF3SUx7f5kzjuruuprrczZI3vmDJm0sxWUyMnzWGH/zxu+gNOn53/cM4shzc+MAN7NuwD1VVE45hz7CTWZDNfVf+Gr1Bx4U3zuRXz9zDR88v5H9/eBVZJzN6+gh+8+/7WPPhWt549HWQYPSMUcy4cQaZXUVxZaF90Ol1DLtwNIXDe7F/+TZWP/8poNF9VF8uu/86nLnp6Azts9282Wpm4qUT2fDJ+qTX9ImXT8RsFTcxBKFWiy2Z0el0/PKXv6SoqIiqqiqqqqooKiriF7/4BbqabIPu3bvTrVvqux9C4+Itd41GVEVBU9WEgqhqTUCEVEtmAKjJEJEkkBtvvSvr9ahnSJf1FFdhcdmwptvw1Kuify6cPHgSSZLIrOlukdU1g5OHis7pcwhCexT0BVny6ue8/uc3qDhVydjZYwj4gzx17zMc23ccTdOoKK7kjb/O5+PXFjPulpkcW7ubb//5OxQO7hE/TuGgQq7/xTzeefZDlIjC7nV7ePKnf2PUjFFYHVZO7D/Jy4++is/tS7kkRxCEmFO7j7HwkVcpO3QKNPBXelnz0mLWvLKEoDcQ38+Z4+L871wcL+io0+voP2UI026fVVfrKwUJiWd/+Ry71+9FVVQC3gBfzF/Oe89+iKfCg6qqVJVUseS1z7nxwZvo2qtr7HGSxIDxA7j6nmt4/pGXUKIK0XCUXoMK+fMPn2Tj0i1EI1HCwTBfLlzLX+/5B31G9ootrQlHWbNwLU//5G9UijpeQjuiKSornl3AodW7USJRlIjCoTW7Wf7Mh2inBQvbG1kvc8OvbqRwUGF8W+GgQm741Y3IjX4PEITOp8UyROpzOByt8bQdXjwgYjDEAxVy/fZ8alMyRGQ0LXYRkHQyWoolM7Fx/RkzRLzlbjIKczBYjPgq3KiKes7eiE8dKcaV7URfUzg2PSedqrJqQoFQvLWgIHRG3iovy+cvj/88Yc4Envr5M0n3/XLhWi64djqrnl1Iyb4iLv/BZcgGHUpEYdOyrbz4h1dw16tboEQVPnv9c8bOHssXr38BwAfPfESPQT3IzBNV6wUhGX+lly9f/Czp2MEvdzH8somYbRb81T4W//1DZJ3MmMsnYXFYQIPDG/fz4SOvMfe3N2N1Jm91G/AGePefHxBNUvfg2N7jRMJRHJkO3OVudq3ZTfHREm799c0YjHpkncyBnYf5+6+eI1ATnBk+dRjrP98c/7m+iuJKjh04SUH/Ao7tidUKc5e72bJsK9+4ampCAX1BaIsUReHAqp0EkhQLD3oC7F22jVFzp7TLLJFwMMyqBWtY9eFqJl86kUlXTgHg2P4TvPDIy0y8ZAIX3jwDs1lkiQgCtGBApLi4mHvuuYfFixdTUlISW5ZRT21hVeGrU4JBJL0BSZZRajM36hVVjS+ZaeQOkyTFWu8BSLIO9QwZIkojAZFoOELYF8TssGKwmNBUDX+VF1vmuQmInTpaQnq2K/5z7Z9LjpdS0FdkGgmdV3lRefw8BohGlYSgxumOHziJMz+TU7uP8vFDLzPh5hls23GIpUla9gHs3bSfb1xR1+LaU+lJ+qVJEISYsD+Er5ECpeWHTpGen0U4EKLiWCkAy//zSYP9Tuw8Sk5NVsfpgv4gu9YnrwsCsHfzfvL75MULpVYUVbD0rWXc+It5VJVWMf8f7yecxz0HFrLsvdSdKnau303PAd3jARGALUu3Mm72OKx20YJbaNuC1T6ObUldiP/EloMMnDHynH1mbUnV5W52rN6Fu8LDwhc+bTC+Y/VOJl0yHnOeCIgIArRgQOSb3/wmR48e5cEHH6Rr166im0wzUELBeP0QLZ4hkmTJTIq2uzGxJTMQK5za2JIZSa9H8aeuVB+oqWJvslkw1hRc9Fd4ztnFpeR4Cfm98+M/u7KcAJSdLBcBEaFTq58hZbFbMBj19caMODOd+Nw+fG4/AFabBV29ffRGAzanrZHjG4me1glDb2yVhENBaBdkfd2NCL3RgDXDRtgXJOiJBSCM1tg5K+t0yDoZVVExWs3k9OqCr8pL5fEyIHY+pyJJEmarOWVw0mq3oNPAmeWkuqwagLSa2iWyThcrjFyzHSAcijRaLNliNTfoVGGxmdEZRHaI0PbJeh1Gc00hYAlsmbHPkN7yatDAYDElZlm3IzqDLl4jRJIkMmpqD1WcqkTTNCxWM7p2+toEoTm02CfYFStWsHz5ckaMGNFST9npKMEAOqMBALWmRWbC8hhFRZJ1jQejZCnWjYbaDJHUGSCywYDaSNvd2jREk82MyRb7EBdopA3Y2VAVlbKiCgaPHxTfZrFZMJgMlJ4sOyfPIQityV/tw1vupuJoKWkZNtLzskjLsCPVBDT91T581T6O7zmOpqh0G1iA1ZmGzWXDle2iW/9uTL/6G6CBLMkMHNufMdNG4Ei3U3GyHHumA1mvY+Eri8jOz8I7sjcDLxrL/iWbye7dFXv3HD56/uOkcxs7cwzblm+L/9x9UHcqy6spPllK1+5dCAfDHNl7jDRHGt165+HKqlvaJgidkclmoWBkb/IG98DqslF1qgKrIw2Dxci2BWtIL4gVB7fYLfT7xlB6TxqIJMucPHACW7qdrPwsfGVu0jLsbF+yGYvdSlZhDrYMe/yLjc1lZ+rlk/j05cUJzy3JErNvvIBR04ZzaMtB+gzphTPHyfL3VjH2wjEAODLszLjmPF7+8+vxx21cupmJs8dxbN/xpK9pzPmjWPDsR3U/XziGqXOnsHn5NtA0egwsxGKz4Pf62b/jEKqq0mdwL5yZTtJsIoNEaF0WRxoDZowkLdNBz/EDqDxRDmi48jI5sn5v7Fx1ts9OLBk56Xzjislk52cyZvpIyo+XoWkamd2y2fDFZgaM6UdGTuoCzYLQ2bTYJ9SCgoIGy2SEc0sJBjE6XQBoSjTWGrde8ENVlEbrh8TUryGiQws2niGiRSOx4q1JjlsbEDGmmdGbDMh6Hf7KcxMQqSqrRokqOGsi+hCLgjszHFSIom5CO+ctd7PoyXcpPVBXJNiUZubi+68lq0fsjvGWxZtY8uJndUtjJImJcycx/vKJ2DPtXHf31bzx0Mt4K7107ZvHTT+7jtcffY3ig3XHtDrTuPk3N7Ph88188J8F6I167vjVLZgcVsyyzNU/vIK3nn43YW75vboybNJg/vvrFwCwudKYceMM/vLAP7j9nnm8+sRb7Fi9M76/0WTg+49+m34j+mCoCdgKQmdjSjMzbt75LHn6fUoPnkrYPuvuK+NdZgxmIyMvm8D8//c2h7cdiu9ntBiZ9+BNbP1sI9sXbQJAbzJwxQPXkT+wOzq9Dr1Bx5RLJ7FzzW6O7z8Rf+xN917HyR3HeO6uf8a36fQ6LvnR5Tiz6q6hw6cMZeMXm+PLbk4cOInNaWPwuAHsWLs74fVMvGg8nnIP3ppM0OnXn4cqwe9ufyz+WU+SJC66ZRbBSJi3nvsgvu3K2+dwybyZOFyiM5XQujJ75FJ+tISFf3qzrjC4BMPnTCC7d/Klae1Fz4GFVB0r442HXonf6ESSmHzNVHrWK7QqCEILdpl54oknuP/++zl8+HBLPWWnoqkqajic0HJX1iWmw2mKAmeoUI8MmlLzYUYnoylKykBW7XKcVJ1mgm4/kixhMBuRJAmTzZK0eNVXUVYUa+HrPG35jT3dRvmpc9veVxBaUiQYZu1rSxOCIQAhX5AFf3gDX5WH8pPlLP7vooQ6IWgaX85fSdGBIgJuP28/8hremgBktwHd+fjfCxKCIRDLMnnloZfoUnN3OhqO8q/f/hdPtQ+LzcLEi8fzqxfuY/bNM5ly6UR+8Mfv8O3f307Z8TJGzxrN5T+8nMt+fAXP/OFFevQr4MS+EwnBEIil3T/9839SVVqNIHRWkWCYDW+tSAiGQOy8/vTx+QRqlq+FAyFWzF+eEAyJbQ/z8m//x7BZo+PboqEI7zz8Kp6amiBKNMr+dbuZff353PqLeUycPY4r77wcnQo7lm5NOJ4SVfjgyXfiS3Ygtuz09l/fwj1P/4RpV0xh5vXn061vHjffdwM///tdTJs7lQuunc4v/30vV3z7EvqM6M3kKyYxY9759BnVlw//+3HC5wVN01jwwicU9inAkW6Pb3v7uQ84tPvoOfhbFYSvx11SxcZ3ViV2SdNgywerqSqqaLV5nQuVRRWsfGNZXTAEQNNY+cYyKtv5axOEc63FMkSuu+46/H4/vXv3xmq1YjAk3imsqBAn59dR13I3tg5ZiyogNwyISLrGa7dIkoym1S630cXeSFUVdA3XGkr1AiI6U8OuLkG3H6PVFF+iY0ozn7OASPmp2O+LIyPxDpM93U7FKZEhIrRfAbefA2t2Jx0L+YL4q/2sfX91ysevnr+Si++8lOp6AYjCYT1Z+W7y4oi+Ki96nQ6TxUgoEEZVVDYv38qF8y7AYrNgsVm47NuXJDwm55psyorK+d0P/8KJw7Egy7Xfuoz5f3sv6XMoUYWd63YzLX9Ko69dEDqqM53X1UUV2LOceCo8bFq0Mel+kVCEogMn6TaoO8d3xgIKSkTh+I4juHLTqS51s3r+KrwVHuwZdnJ7d6VL10yWpOhuo6ka277YyvSbZ8S3OTMcODMc9BvRJ2HfjNwM+gzrlbAtPSedHoMKCQVC/Ov//pvyta/5eC2TLhjLx28uiW+b//yH9BnckzR78o45gtDc/NU+tn+8PuX49oXrySzMIc2Vup5WW1VdXs2a91alHF/77pfkFObiaIcFYwWhObRYQOSJJ55oqafqlJRQbUCkpoZINHmGiHyGdfySJKHWWzIDoCpRdEkCIrK+5rlSdJoJegMYrXUF2YxW0zkLiFScqsBqszRIwXek2zmwLXXVcEFo65RwFE1RU46H/SE8Fam7VXgqPEROK3SoRlNnekHsg6HZaiYUiJ3LJcfPXIenqqI6HgyBWKFVv8efcv+SE6VnPKYgdFRKpPHz2lcRy+ZSokqD87e+yuIq7NnOhG3ukiogln1RmxXmqfDgqfAweOpQvI10mKo4+fUzKiPhKJU1c0imutxN1755ic9bUkmkkRpkgtDcIuFIo8u4fVWeBkWD24tIKIK3IvVrS/Y5QRA6sxYLiNx6660t9VSdkhKIpb3KhpouM9EoUs2fa2mqApKxwWMTSFJdGn5NEESLRsHYMAOkbslM8oBIyONHb657PmOaCV956g9mZ6OiuBJ7esP1xzaXDZ/bTzgUxmg6w2sVhDYm4PYj63WYbBZCKTpFpLlsFAzszvFdx5KO5/fvhtmRWLBQVTVMVhMhfyjpY1y56XjrBSsHje1/xrmm2dIwmo2EgzVBlJPldO3ZharSaiZcOJYeA7oT8odYt2Qj+7YcYMDIfmc8piB0VAazEZPNgixL9Js2lPS8TILeIPtWbKf8SAkZ3WPL1vRGA84cF9UpAgwFAwpY9p/ENpr5AwtqHquja5+ulB8vY+j04eT1zceeaSevbz5HdxxJerw+o/t+5dcUCUfwVfvQNI3pV03l5T+9jpIk6FM4oDvHDp1M2DZwZD+saaKwqtB6LDYLOX3yKD9WSo/RfSkY1hOA49sPc3jdXnL65MUbArQ3VruV/P7dKDlSTP+JA+k5sjcAhzcfYPeXu8kf0K3RjlWC0Nm0aNn/AwcO8Pzzz3PgwAGefPJJcnJy+PjjjykoKGDw4MEtOZUOp7blbu3yFE1R0JmTLZk5Qw0RKbHLDNQsv0lGlkGWG88QsdQLiFjNlB8ubsrLOaPy4grs6Q3TGGtbhVaVVZOTn31OnksQmlvQE+Dk7qOse3MFaRk2hs8Zx9rXljbYL7dvHmabmZGzRrN+wToiwcRzT6fXMemqKVjSzPSbMJC9q3cBsP3zzUy+cgpLXlrc4Jg9h/fi+KEilJrzPD3HRc9BPc445/QcJ3PmzWT+f2JdJha98wV33HMjep2Ole+u5N3P3sNitzBm5mgunDeDbn3zz3BEQei4rOk2zvvuxWiqyo5P1rNn8Sas6Tb6TRvGiMsmYKtZ/pnRNYMLbrmAt//8VoNj5HTPIc1hpbpe4XBX1wwya2oAObNcXPjtiwkHQmz+eAOfP/cJrq4ZTL1pBi//+sXEWgJAWrqNwpovgWervKicJa9/zqbPNyNJMqMvGMWP/vR9/vvoy1SVVsX3MxgNjD5/JA//+PH4Nr1Bz2U3z65reSoIrcBoMTFk9mh6jOnL4bV72PBm7JpbMLIPs++9Glumo9G2022Z1W5l/BUT6TdxIBs+38T8Z94HYNjkIVz363m4ctOxiuVqghDXYkVVly5dytChQ1mzZg3z58/H642lcm3dupXf/OY3LTWNDksJBuMFVQHUaDQx+KGqgHbmLjOSVLNv4pKZ5LtKyHo9SoqiqmFvEENCQMREyBs4J92GKkuqsCVZ12lzpcXHBaE9iIYi7PhsEx//ZT7lR0s4uvkg0YjC2Gunxu9OyTqZvlOHMONHl2NxpuHqks4tj95GXr0gQ06PXG56+Juk52VgsVu56PuXMOaScegMenxVPvqO7Mv5N87AUnNMnUHH8PNHcMEtM/FUepAkiUFjB/C9396GpQlfVMwWMxdefT43fH8uVpsFn8ePxWLiP79+np1rdhEKhKgqqeKzlxez7O3l6PUNl90JQmchyzI6vcySp96leM9xoqEI7lOVrH99KSe3H0bW112bu/Uv4PIfz8VWkwUpyzIDJw3i+l/Nq2kNGmul22dcf6769Y3YMurqABgtRt79wxvsX7uHcCBMycFT7FiymSvvvZr0LnVtNnuO6M03H7sDV47rrF9LxakKnvjhU6x8/0v8ngA+t49l85fzxuNvctsvb4rvV9C3G3f/9Ucs/2Q10ZqAa2Gfbjz0r/vp0i3nrJ9XEM41WZZZ8e+F7F26lZA3SMgbZP/y7Sz/18Iz30Bs6ySJlx57hdUL1uB3+/G7/axeuJb//eHV+M1TQRBiWixD5P777+f3v/89d999N3Z73VKH6dOn8+STT7bUNDosJRCIB0Q0TUM7rRCqqsQ+jJwpICLJUk3AQou9YcpybMlMqv31+pQZIiFvAGd+Zvxno9WEGlWJBMIYrQ2X4JyNytIq+gzr3WC7vSZDpLo8dY0FQWhL/FVe1r21PGHb2jeWkT+4kEm3zCCjIBuD2YjFmYbBFKuZozfoye/XjWt+eQNBXxA0DbPNjDPbFT+GPcPBBbdfyIS5k1GjCq89+CKZBdlceudl6I16kODg2r28+Zv/ceNjdzB0TH8qDhSx8m8fcP6Pr4i3AW1MZm4Gl916EZMvHI+mwttPvI0SaZhRtn/zAcpOlCdd5iYInYG/ysuXL36W2M2ixr5l2xh60ThMaRYCbj+Ln3qfnF5duPn/bkbVNHR6HVXHy/jgoVeZc/+13PrX76HT6bE6rRgtddfSkC/I8peXEA0nXrN3r9hB2bFSrntwHrJOh6yTsTis8eDo2VAUhTUfr8NT2XD5a1VJFSVHinnkrd8SDUdIc6Rhd9m4KT+LK269GE3TsDnScGaIQo5C61OjKgdX70paRyRQ5WX/ih2MuGJi0hp6bZ2iKGxYvJHqsoafhd3lbtZ/tpGZN81ol69NEJpDiwVEtm3bxiuvvNJge3Z2NuXlok3q16UEg+htsWBAbfCjflFVrWYbZwqI1CYNaSpIOiSdrtGAiNxYQMQfxFDvTrOhJggS9Pi/VkAk6A8R9AWxJ8kQMZqNGM3GhJRdQWjLvJVe1CTr7k/sOMKJHUe45tHbcKS4i+vMduI8rcBifXqjAVduOqVHSvBWePBWeDiypWHR4VN7jrNrwdp40ePD6/aQN6iwSfM3GAx0Kcil4lQF+7ccSLnf9i930HNIjyYdUxA6mrA/hKeRzMWyw6dw5WcS9gcpP1JC+ZESdn2+tcF+J3cdZcSc8UmPEQqEOLhhf/LjHylh88frmfW9OV9p/rUCngBbljWcV61Nn29m7KwxWLtkxLc50u3xtruC0FYE3D6Obkx+vgAc27Sf/ucNw9YOO7F4K7xsW7kj5fj2VduZcMk4XFmulpuUILRhLZYP5nK5KCoqarB906ZN5OeLteVfhxqNoilRdLVLZqK1bXPr/nm1JmaIxH8j1Lo6IqmWzABIekPSgIgaVYgGIxjMdV1gaoMgIU/yYpFNVVVWBYAtxR3sNEeayBAR2g2dofE7NOcibVc+wzEMJkO8hgiA9St8eZFkCX0jXaws7XQttiCcC5LceIp67bVS0suN7ls/I6TBcyDFs8gkWcKWbsNsqzvvTOfgHJRlGaPZkHLcaDaKu85CuyDrZPSm1L/LepPhjNfOtkrWywk1/E4nzlNBSNRiZ/q8efO47777OHXqVKy1q6qycuVK7rnnHm655ZaWmkaHpARrOszUdIJRazM6kgZEzvAGKMUeo9arI3LGDJEkXWbCNd0sErrM1HyQS9U9o6lq64MkqyECxIrOiYCI0E5YXTbMKaq9O3JdWJpY+EyJKlQUV7Brwx42fL6JosOn8NVkfFgcVrr0yUv6OL1Rj8VmIewL0mNsf6b/dC6mLAc7V2yn/HgpgUZa6daX5kxjzKzRKceHTB7SpOMIQkfhr/ZRcugUe1btJBKOkjugoME+OoOe4VdNQbZbWP3xWo4fPMUVv7+VwtF9Gh5QgvzB3VM+n9WZxrBZoxh7+UTm/uJ6xl45mWm3zeLy+64hf2ABA6cO/dqvyeqwMu2qb6Qcn3b1NzB9zSWxgtASLM40+k8fkXK8//ThWFN8zmzr7Ol2Js+ZmHJ88qWTxBJWQainxZbMPPzww3zzm98kPz8fTdMYNGgQiqIwb948fvWrX7XUNDokJRgEqKshUhv8qL9kRlUA6Yx3qWrHtXinmcZriKRaMlMbEElYMmOpWzLzdVSVVQONZYhYqa7ZRxDaurR0GxfeNZcPHnkdtV6Wht5kYNaPryAtSTel00WjUQ5uO8Tf7n+WgC8Y3z72glFc+6OrcGY6mP2DS3ntwRcIeuvGJVli5ncuYvfiTQyYOQrVoOfVh16OL+GRdTLn3TSDYTNGxAs8pmI0GZl10wXs27Sf8pOJyyAv+84cnFntL+1YEL4qT7mbjx5/m5O7jwOxoOScu69k+Yny+DVQ0slM/M5FLHhtCTv/9Gr8sTaXjR88+m1kncyhtXvj26d9azaWRr6g6Qw6Rl08ji/+t5iVv30pvt1gNnL53Vdiyzw3X+76jujDgDH92b1+T8L24d8YRvd+DYM+gtBWZffuSsHI3hzblLjcM39oT3L7dWulWZ0bhYMLGTR+IDvX7ErYPnD8AHo0cUmsIHQWLRYQMRgMvPzyyzz00ENs2rQJVVUZOXIkffv2bakpdFhKMACyXNcVpuZLlSwn1hBpUuq9VK+GCLGgihIKpt7dYEBTVVRFSahZEvbHHmMwG4kEw+z5bBOublnoTQZC3tTHa4rqsmrMVhMGY/JUxzR7GicPNVyeJQhtkSzLdOnXjev//C0OfLmb0sOn6NqvGz3G9MOe3bQgQmVJFU/+7B9Ewokdn9Z9tpH83vlMnzuF7Us2c8lP51JyqJjig0U4sp0M+sZQQm4/9iwHuYO68+r/vZTweFVRWfLCIvL6dTtjQAQgIzeDHz1+J4d3HWHzF1uwZ9iZcPF40nPSsaSdfQFHQWiPwoEQy15YFA+GAATcfhb9cwHnf2s2gXI3RbuOkj+8F+tXbGPnut0Jj/dWeXnq589w/zM/Q5ZkbFkOBpw3DHuWo9FWtZqmsX/9XrYvTazxEQmGmf/HN/ne336I1X7mYsln4sh0MO/+6yk+UsKahWtigZ2LxpNdkC3uOgvtirusmqx+3egxfgAnaupr5Q/tid8ToKqkMmX9rvagvLiC3iP7MPL8kexeuxsNjYHjBuKp8lBWXEFmXuaZDyIInUSLBURq9e7dm969G3YHEb46JRBAZzTF22jVFVCtywbRFOXM9UOgrhVXbQ2RJiyZAVDDYWRL3ReecKBmyYzJwOHVuyjefYzi3ccw2sznJEPE5kx9p8vqsOKuEEtmhPZDp9fh6pLB6LmT0FTtjJlcp9uzcW+DYEitRa8uZsx5I9jy8Xo2L1hHTs8uuLpmUH60hFcf+A+ObBdX/99NfPLPj1Ief/W7K8ntmduk5TuuHBcjclwMmzoUuQnvOYLQ0fir/ez9cleD7VVFFcz//atc9eANWG1mnAXZrPy//yY/hidA0eEiZv3kiia/H3grPax8c3nSMTWqsHfNbibMndzk19EYR4YDR4aDPiNin+dEG0+hvfFX+9j04RoOrtuL2W6h26BCkODz5z8l4PbTY2RvMrtlk9YOl8343H4+e/Vztqzchs1lo9+I2BK8V598C2+Vl2GTh9Ctdz5pjqYtyRWEjq5ZAyJ33313k/d9/PHHm3EmHVs0GIwvl4HabBAdSIkBEepnjKgamqY1LBhVG1SpzRCRdaBpaKqStP6IpI9laajhMNQPiNQsmdGZ9JzadYys3l2pOFoCGl87Q6SqrLrRN/E0hxW/N0AkHEmZRSIIbdXZBkMASo6Vphzzuf0oURWtJshZcugUJYdOxceriysJ+YKNLjNzl1YTCUawnMXNXxEMETqraCgSP9+SqTxZQcnuo+RNHJQykAlQdrL8rN4PVEXD00j9rLLjZU0+VlOJQIjQXkWCYTw1bWmDngD71yRmannK3USCybsotnXhYJjy4goglnG28YvNCeMVxZWEgyEREBGEGs0aENm0aVOT9jvbC+qJEye47777WLhwIYFAgH79+vHcc88xenTqgn4dmRIIYLDXfVNJlg2inratYt8xwt4AOcP6JHa5qA2I1MsQgVihVp2xYUCkfoZIfWF/CCQIe4OEfUFc+VlEgmF8Ze6vXVQ1FhBJnfabVnMX21PpJSM3/Ws9lyC0JG+Fm0g4itFkbFLtkFq9h/ZKOZZTkI3OoGPM3InsWLyFgLsuQ0tv1NNv0iDMdgt5ffMpOVxM71F96TUydtf34OYDHNiwj7y++SkLvyYTCUUI+4JIOhlrilo/gtCehf1BouEoOoMO02nLwYxWY3y5aDLOHBchbxCdLGNPt+Op9CTdr3v/7lSeqkSWJZw1qftBb4CgN4Ckk3FmuxL2Nxj15PbqQvnxMgZNGUJe33wi4Qi7V+3kxJ7j9BjW82u/bkHoKEw2C7m9u1Ja7wZBfbm9up6Tzkytweqw0GNgIScOnmTI+EEMHT8IgG1rd7J99U56DOiO1SaCIYJQq1kDIp9//vlZP+b48ePk5eWlvLtYWVnJ5MmTmT59OgsXLiQnJ4cDBw7gcrm+5mzbJ01TUUNBdJl1awE1JdpweYyiINUEL5RwlFCVF4BQlQdrvQ9VdUtmYhki1AREtGgUjA0rx9ce8/ROM2F/EL3RgLuoEoC0TDv+KgfukxUE3L6v9mJrVJdVkzk49Qc7a01AxF3hFgERoV3wVrgp2l/E8teXUlFUQXZBNtNunE5O95wmVbnv3q8b6TmueAem+i6+eRbvP/EOOoOO8749m8Pr97Fr6TZye3dl6o3ns2fZdt773SvM/tlVDJg4iEMb97Ph/dUA9BnXn7G/vglnrqvR2gW1lKiCu6SKDe+s4tjWg5jSzIy4ZDyFo/u0y7RjQThdJBCi+mQ5295bRfXJMtIynQy5dAIZPbvEAyNp6XbGzp3Eqle/aPD4rn3zCVS4UaMKRRv2cskts3jtybcb7tezC2o4ynN3/5M0ZxoT5k6icEgP1r2xnJO7jmC2WRgyazSFo3rjqLmGW51pXPS9OUSCYbYt2cKat5ZjtJoYNG0YE6+cQte+yTtNCUJnZE4zM/zisexauhUloiSMyXqZkXMmNLnLW1tjMpuYef10xp8/iiObDrDr4w0A9B/Xn1nXTMeR7RTdoAShnjaX0zxo0CAOHz6ccvyxxx6joKCA559/nnHjxtGjRw9mzJjRaeuSKMHY0hS5XrBCVZSElru122qDJBFfTYaGDBHfactXauIhdV1m6gVEkpAkCUmvRzktQyTiD6M3G/GWVmGyW9AZ9FhdNjRNI1j91QMimqbhrnCn7DADxFMA3RXJ77rVKj5Wwr6tBxrdRxCaW8gXZOuSLbz625c4vvsY/mofR7Yf5sUHnmffur0okdQ1fGql56Rzz1M/pv+ouiLVdpeNa390JVXHyzmy4zAHNx/gld+9TE7ffAqG9mDKvOl8/Ph89q3cgae4ikggzGf/XMDGj9biKXPjKXOzacE6Fv3zoyYvPas6Wc6b9/+Hvcu3E6j2U3Wygi/+tZAv/rmQwNc47wWhLVBVlaKdR1j8x9cp2XOMkCdAxeFTLHvqXQ6t2EG0ZvmLTq9j2MxRTLrhvHinNUmW6DdpEBd892L2f7YRgINLtzJweB+uvvNyLLZYMEWSJIZNGsK8H1/Nh0+8g7/aR+nREj548l0WP/8p6fmZBKr9VJ4oZ/nzn7L8+UW46y13M6eZee+xN9m9fDu+Kh+VJytY+eoXbF64Dr2+xcvGCUKbZjAaufiuq0jPr7up6MrL4OK7rsJobt9Lrs0mI1/862M2L1gXv6ZvXrCOz/+1EHMTbnAIQmfS5q6OtV/EU3n//fe58MILueaaa1i6dCn5+fnceeedfPvb326hGbYtSjAW3Di9hkj9DjOoKmhqPLgRDYRAljGmmYnUFD+tJUlSbNlMvS4zEFsyk4qsNzRcMhMIYTAZ8Ja5Mdcsb7E4Y4GK0OlBmLMQ8AaIhKONrnus/WDpTpGGDLHuGY9+/3HcFW7+8OZD5ORnfeU5CcLX4a3y8vlLS5KOffLvj+k+uJD0JlSDz87P5vsPfwtPlZeQP0TZsVI2fryOIzuOJOy36MVFfOtP32bta0uJhmJf4HL75XNw4z6qk2SYuEuq2fvlLsZcOqHRegYhX5CV/1tMNNzwveLIpv24S6qwiOUzQjsWrPKx4eXFSce2vbeSbqP7YstyArFsjbFXTGLgN4YSCYTRmwxYnWnojDpm3Hc9kWAYnUGP2WHhvO45DJ86jKAviNFs5MD6fbzz2BuEA4nX1V2rdjJy5ih0Bl38jvaRjfsZdflEHFlOQv4Qy1/+nHCSpTpHtx2m4mT5WS3FE4SOLBqNsn/1LnYt2cLwC8dgy4wtPfdWeFj96hf0mzqYkXMmoDe2ua9KZ6SqKrtX7Eh5Td+9Ygfjr5wsan0JQo12d5YfPHiQf/zjH9x999384he/YO3atfz4xz/GZDJxyy23JH1MKBQiFKr74u92d5wOJEowFlxICIhEo/GlLACaGvvgVJshEg1F0Bn16EwGwu6GHV8kWaqrISJJIMtoSuqAiGTQo4YTAyuRQAidUY+/woOrWyzYoDcbkWSZaDDylTppAFTXFIxLa+SLlU6nw2KzNNpp5tj+4/HxzSu2Muu68896LsLX15HPzabylLtTZoEEvQH8bn+TAiIQWy5mtVs5sGk/7/zlraT7+Kq8hANhjmzcH9+WN6CAfRv2J90fYOeybQw5f3ij6cNhf4jj2w6nHD+0YR+5ffPP/CKENkGcmw2FvAHCKQL6qqLiL3fHAyIQyxRxJmnbmZbZsJ12bkEOAKVHS1jy/Kcp53B8z3HS87MoO1wc33Z403669u9GyB/kwPq9KR+7a8V2CgYXphwX2gdxbp4bvgoPh9buwV1cycoXP2swfmjtXvpOHoyrHS699lV62Zek01WtvV/uYsj0YdgznSn3EYTOpN2FBlVVZdSoUTzyyCOMHDmS7373u3z729/mH//4R8rHPProozidzvh/BQUFLTjj5qUEA8hGY0Jh2tOLqqrRmrWRNR1llFAE2aBD1utQIpEkWTlSXQ0RmtJ614ASalhUVWfQE/IGMNVLBTZYjDXjXy1LpLomiNFYUVWIFVZtbMnM4d1HkWWJLoW5HNh+8CvNRfj6OvK52VQ6XcNixfU16ATVlGMaznxMnaEuaKoqasJjDGYDhnrpwnqD/szFryWp0bnqRcendkWcmw1JZzgXZX3j512TnkOWGr1ZoDfqURU1YVvtkjZJkhLOY6PVlHB3uyl1gIS2T5yb54Ys6xKug6fTGfTtNoNCkiV09c79pNf0dvraBKE5tLsMka5duzJo0KCEbQMHDuTttxsWJav1wAMPJLQAdrvdHeYCogQCCfVDoGFARFNOyxAJR9CbjcgGHWigRpSEN05JkuJtdyEWEGl8yYyeSDCxc0w4EELSxT7UmWx1VboNFhMhb4CQNxgPlJyN6rLagEjjha6sdkvKyv0ARYdP4cp2kdejK8f2HT/reQjnRkc+N5vKlm7DbLMQTNJ9yZnj+kpF3Vw5LowWY4OUe4CsbtlYnVYGTBvK9k9jtQyObNzPwBkjMKWZGTZzFIGauVhsFrZ9tolB3xiKueZ89VZ48FZ48Ff7sGc7SXPZsDqsmO0W+k4ZzJ6l25LOqde4fmf9OoTWI87Nhkw2M7ZsJ97Shi2qDRYTlnOwHMVis9JndF/2rUuS6SFJ5PXNY+u7qxI29xgdqx1kcVgZev5IFFWl15i+eMrdGM2xGybr3/uSgd8Y+rXnJ7Q+cW6eG/YsBwPPH07R7mNJxweePxxHdvvMoLCl2xk2cxRmm4WhF4xscE3vN3EgtnT7GY4iCJ1HmwuInOku5OTJk9mzZ0/Ctr1791JYmDoN1GQyYTJ1zGrKSjCAbEpsCxYLiNTdJapbMlNTDyQSRbZbkXW1XWciCQER6i2ZqX1cYwERydCwhkjEH4rfmTLWq2RtTDNBKTWtd88+DdFdEfuAZzQ1fqcrtmQmdUCk5EQprkwnmV0y2Lx8K9FIFH0jdwqE5tGRz82msmc7mfuzq3j9968k3PnVG/VccfeVuLqc/XliS7dzzc+v45XfvZRwLhtMBq669xocmU5GXjqBo5sP4i6poqqogszuOQSjUV59+BWiNUt49AY9M2+7kK79uwFQcaKMt373ClWnKuPHLBzek4t/dAX2LAdjr5rCie1H8JYnpnCPuXoKaeLDV7sizs2GLE4bE+64mM//8mbCMjdJlphwx0XnpEZOmiuNC26/kJP7T+Kr9CaMTb9xOge/3A31kjpHXzUFS80NAr1Bz+jLxrP8jaX879cvxLM/LTYLV91zDbYMUT+kIxDn5rnTtX838gcXcuK0WltdBxSQN7B9B5m6DeqOx+1Lck2fRcHg7q08O0FoW9rcN8AzFVW96667mDRpEo888gjXXnsta9eu5dlnn+XZZ59toRm2HZqmoQQCGOyOhG2apsWXxwBoUQUkGUmWUBUNLaqg08vx9F71tHZjEhLU+3eQdLoGAY/6ZL0eTVFigZia9P9IIBRPRTRY6i7ctVkhQU/D2iVNUV3uPmN2CMRqKRQdTt5bHqCsqIKsrhlk5KSjqiplReV06Z77leYkCF+H3qCncGgPvvPUnWz+dCNlx0rp2rsrQ88fgSvX9ZWP2XtkH370zE/Y8PF6So6WUDiokKHnDceZE7vjZc92cvlvbuTkzqMc3rCPaDTKwn9+lHCcaCTKwmc/Ir9fPjq9zJu/fblBkbYjWw7xxYuLuPD7l+LIcTH3tzdxfPsRDqzejcVpZeisUThy0zGlJQZuBaE9Su+ezezf3MyRtbspO1CEMy+TXlOGYM2wI59h+VtTKIpC1ZFibnn4mxzYuJ+Dmw9gc9kYddFYrA4rx7ceIugJYLZbGHzByFiWVr3MlH3r97Ju4bqEYwa8AV57+BXu/NsPSXOKoIgg1PK6vUz+5kzcpyrZs2wbaBr9pg7FlZ+Bt8qPq0tGa0/xK/NV+1Jc0xdQMLAQV277fW2CcK61uYDIzp07ycvLSzk+duxY3nnnHR544AEeeughevbsyRNPPMGNN97YgrNsG7RIBE1VE5bMnL48pnZb7c+147JOjq+HbpD9IZ9lDRFDbF2iEg6jt8QCHpFgGJPNgsFiTKgrYHZYkCQJb1nDlOOmqK5wY23CEgKrzYqnyptyvKKkkl6DCnHVpEOWnCgTARGh1RgtJnIKc7ng9llEwlEMJsPXXrtsMBnILshh1h2zUaJK0jog9kwH/acOoXBEL9558p2Ux1r59gpm3joracV6gN0rdjB13nSMlgzsWU4GnjeMvpMHIevkdrsGWxCSkXU6bNkuBl08HiWqoNPpvlKB8FSCVT7Wv/o5kUCYXhMHMnr6cMK+ECv/9j4hb4CLfn0jA6YNRdbrGmQ1VhZXsPzNZUmPG41E2b16N9k1xVsFobML+QKsm/8le7/cRc+RvRlz2URAY8NHazm4fh99xvYn6yeXx5eLtifhYJgVby1POb7irWVcdc81oq6QINRo1oDIlVde2eR958+fD9CkdZBz5sxhzpw5X3leHUU0acvdWCCj/pcQtV5ApLZVn6TTIUkyyDJqgw4X8mk1RPRoShRN05IuaZL0sYCIGg5DvYCIGlXiRVRrmayxu8S+sq9WFb26vJq0pgRE7Bb8bn/sA+tphe4ioQh+jx+by4bdZUPWyZSdLPtK8xGEc0nW6TBZvv5d5oRjyjKysfGgRDgUofJURcrxylMVhAKpCyFrqkYkGEnYJpagCR2ZJEnN8juuRBUiNbV/Dn65i4OndYoo3nWM7J5dkz5WUzSqUgQtAUqPlZ6zeQpCexcORqguji3/PLTpAIc2HUgYryqpJBwMt8uASDQcofxkecrxipPlREIRERARhBrN+onV6WyfxYjaCyUQC4joEgIiNctf6tcQUaINskFqAySyXkZVEpfMIMc+WNWqrT2iKdF48CNhd0NtQCTWBk6JRFGjKkpUwWBOXOdaGyA5fW10U1WXuZuUyZFmt6JpGt5qH87TWhzWdqqxOdKQZRlHup3yRr4MCkJ7EvIGUBUVo9WEzqCnurSKaDiK0WLCnmEnFAwR9ofRG/VYaj7omdLMdO2VR9GBoqTH7No7r9HirnqjPqFWUEvQVDWWuSbFgrJn7IIjtCtqTQc0Sa9Dls9tkPBciATDsRb2Bh1Ga+rlYCFfkIg/iM6ox9KE5So6gx6LM41AtS/peGZh6uufrNeR2yOX4noteesrHFxIVWkVaBqunOZpJaqqKv5qP6BhdaR9pS5ZQtukaRpaNBb47gjvuaY0Mzk9u1J88BSj54yj37gBgMa+9XtZ//4acnp0abdLPY1mE/n98jl1MPk1Pb9fN0wWUYdGEGo1a0Dk+eefb87Dd3pKMICk18frdgDx4IZ0Wg0RueZOVm0L3tr6IZJOjmeN1JIkGY16BeNqjq9Fo5AkICLpdCBJKDV1RmrvbimhCBZ7YmRdX1MMNZjiw96ZuCvc9B7S84z71S6r8VR6GgZEago+WmtqkYiAiNARBN0+ivccZ8+iDYR9QUbfMguvx8/yN5dRWVxJl55d+MZ10zi8/TBrP1yDK8fFtOvPI69PPlaHlUlzJ7N5yaYGLT1lncykuZMx2yx07ZdP0d4TDZ579JzxCXUMmpsSChIsKyFUXoYkSZiyczFlZKIzig947Z0aiRDxugkUnUCNRNDbHVi75qMzmdtEm8hIMIynuJJtH6ym8ngp9mwXQ+aMx1WQHc+ABIj4g3jKqtm5YC1VR0uwpNsZMGs06YU5WF2pCwxbXTaGz53M6v9+2mAsLdOBMy/1un9Xjovzb57Jq797qeFxHVayCrL5z33/xmQ2MuaicfQb15/03HMXGKkurWLrF1vYWNO9auTMUQyfPhxntuucPYfQOpRwiFB5GaGyEkDDlJmDKTMbXTsu7mo0Gxk3dyITrpzEiU372fbWUgAKxvTjO3/7AVFVa7dBA71Rz6S5U9i0aGPKa3r9ltyC0NmJs6EdUwKBhl8AktUQURWQY4GIWIFVoDZDRNbFttUjSad1makJiKjRKMnu00mShKw3oIZiGSKRYCwgEg1H0Z+WjifrZJCkmi4zZycaieJz+5tWQ6QmEONO0nq3dlvt0ht7up3yYhEQEdqvoCfAxte/4Nj6WKvOIXMns2/zfhbV+1JVVVzJnjW7ueKnV2J1WDm87RCHtx1ixi0XMPHyybhyXdz821t596/vxGuFOHNcXPHjK0jvmo7JYubye69h0T8/4sCGfaCBzqBj1CXjGHPZhBZbIqOEglTv3p5Q6Nl/7DChshIc/QaKoEg7pkaj+E8cI1haVxA7XF5KuKIM58AhGNJat1ORpmoU7z7G0r+9F+/04itzc2rXUcbMm07vKUPQG2M3DcoOnWL50+/Gr6W+cjcr9p9g4EXj6DdjJOYU1zFJlug+qg9hf5Ct739JtGYpWnbfPKZ86yKsZ+jWVDCgG5f96HIWPf9pvNVml15dmXX7hbz3xHwqi2LXug///j49lvfkyp9dfU6CItWl1fz3gf9QdqJu+emi5z9hwyfruf0Pd4igSDumhEO49+xECdZ9bvOfOEqwrBhn/yHtOyhiNLD86XfxFNd1Ttv50RqOrt3NN348txVn9vXpjXquue86Pv73woRr+oV3XITe1PDmpiB0Zi0aEHnrrbd44403OHr0KOHTupZs3LixJafSIUQDgYT6IVAvQ6Q2IKJpsaUu9Za9oJNjnWSIZYicHj1GktBOK6oKNFpYVTLo6zJEagMioQiGJOsTZb1M2J+6HkEqntpAhuPMrQ2tttiHzWStdz2VHiQJLGmxoIndZePEoeRphYLQHvgr3PFgCEDWgO68+aO/NdhP0zQ+e+FTLvjmLN55/G0Alry0mKHThpOZl0mf0X351mPfwu+JffC12C2k16uy78h2csldV+Kv9sUKJ6eZsaXbW+xOk6aqBMtKkna9UgJ+oh4Pusz2++G8s1Mj4YRgSJym4Tt8EEe/QfElmq3BX+VlzYuLEtre1tr4xjLyh/XCluXEW1bNhleWJNxYqLX743X0GD8gZUAEwGy3MnDmaHqM7U/YH+vYZrZb4l3aGmPPcDBy5mh6jehDwONHbzRQdqKUd/7ffDyntcM+vO0QZcdKvnZARNM0dq/elRAMqVVxspxdX+5i/KUT2v0Si84qXFWZEAyppYZChCrLsOTmtdt/25NbDyQEQ2p5S6s5vnE//WaOQncOuke1NEVR2LlyB5s/28i0688jzZGGpmkEPAGWvrqEETNGMXHupHb52gShObRY/ulf//pXbrvtNnJycti0aRPjxo0jMzOTgwcPctFFF7XUNDoUJRhAPi0yH68hUnNxqg1s1NUQURMKrko6uWGXGUlKaH8sybGsjgb71ZOQIRII1UxGa5AhAqDT64iGIg22n0l1RW1A5MwZIgaTAYPJEA+i1Oep8mK2muNrm+3pdqrLq1FOy5QRhPbixJa6YnAmu5Wq4qqUv8+eCg/meqn9mqpRUq/mgKtLBnl988nrm58QDKllTjOTkZdJbq+uuHLTWzTtVotGCZWnLoAcLCtuWBNJaDcintTFtqN+Xyyg34rC3gBBd/KW8WpUwVcTcIj4Q/hSdFLTNI3KJhQ31el12LKcZHTPwdk1o0nBkFp6g57MvEy69S/AYDLwzuNvNwiG1Nry+ZYmHzeVgDfAps9S39TatGgDAc/ZZ4UKrU+NRmuWySQXKitt9GZZW+arcHN03d6U48fW7yX4FevdtTZPuZvty7ZSfLiY9//6Lq/+/mVee/gV3vvrOxQfLmbbsq24U7wnCEJn1GIBkb///e88++yzPP300xiNRn7+85+zaNEifvzjH1Nd/dVasHZmajSKFo0mFFSFmha7NTU9Yj8nFlFVFTVhOY2sk9GiDTNE0BK3STp9vJhWMrLBgBKuDYjU3b01JEnL0xn1DeqWNEXtm3dTMkRi+1mTBkS81d6EZTeOdDuaqsWLrQpCeyMb6hdRVs9cyPC0m3myvvVrMzSJRON3IiW5wWsT2pEz3mVu5X/c0+Ynn9bBLH5tPf38Ou18lFv4rmxjd4F1+q8f0JQkCV0j7yGyXtfq/3TC1yCl/rdtC3V9vioJKeHc1Bl16Ix154qkk+EcttRuUZLU6PuMTicjt9OsHkFoDi12a+/o0aNMmjQJAIvFgscT+6J68803M2HCBJ5++umWmkqHoMRb7p6WIaIqCV8YauuDxJe9KErCm6Qkyyin3VGV5NoaIhrEl9boGs8QMRiIuGOBrXC9gEiydYp6kxFN9aFGlQYfKBtTXeEGCaxNvFNmtVmT1hDxVvsw1+uIYXfFikFWllaR0UyV9wXhXFOiCt4KD54KD7aCXMZ9+xKOrNpB8Y7DODIdGEwGIkkysdK7ZuCpt5RMZ9CR0SWd8sOnatL4Jfw1543FlYbFZWvQurq5KeEwajiMEg6jMxiQjSZ0JiOS3oApOwf/sSNJH2fJ6dLkjiRqNFrzHCFknR7ZaGzXa+E7AoPdkXS7bDRizS9ECYeJ+P3oTKbYclFVRY2EY/WtjEZkg7FZl9SY7BYcXTLoMb4/2b26EA1G0JsMVBVVsGvRRtIyYvU9jGlmXN1z6DKwO1l98gn7QxjMRvxVbtLSHaRlOSnacRiD1YQpzYI9x9Vsc7al2xh63jDWfrgm6fjImSM5tvsosixjS7dhz3CcdWcYi83CuDkTOLrzaNLx8XMmNKn2l9D2yHo9lpxcwhYrpsws1HDsmiIbjYQqyzFYLK26jO3rsGbY6Tl5MAXj+pPbv4BgdSz7y+y0UrL3OBKQlpH8Pamtc2W7GDVrNMd2JT8nR80aLer6CEI9LRYQ6dKlC+Xl5RQWFlJYWMjq1asZPnw4hw4dSlieITRNbctd2ZQkQ6RexF6NZ4jUFkZVkOpFvGVZAkWNtTesCaRI8cShxICIFkmdISIZDLE2iapKNBiO30lLFhCpzRoJegNYXU3vTOEud5Nmtzb5w5rFZklaQyQWEKlbMlAbEKkqrWryXAShNYWDYQ5s3M97j88nXLNEzWAycP7NM+iZYefE+j1c9qPLmf+XtxPeX/UGPRfePpvP6hVbnXPnZez+ZAOHVu3E7LAy4ZaZbF+4lrIDRehNBibcOpOCEb0xtFC1/WggQOW27YTKy+PbDA4HmSNHoLdaMWVkESorRQkkLl0wOFzorE3LHlNCITyHDhAoqqsdpDObSR86HIOt5brlCIlkvQFrt0L8x+sCXrLRhLWgB1XbdhD11/2bW7p2JS2/K5U7tkPN77gpOxtn3/7NFtiyumyc96PL2f3uMrYu3xzfbs/PYsZP52J2xn7/0jIcTLjjIja89gVbPlhT89pkLvnNLWx7/0uObdxX99jcdKZ+bw7pBdnNMmeTxcSkuZPZu24vVafVShg2fTjHdx5lyQufAbGaQVfdfx2FgwvRnWWR5J7DetF9cCFHdyQGK7sP7E6vEb2/3osQWpXOakMOhin9ck18Wbak0+EcMACdrX0GDGpl9+tG6b4TfPz7V+JLufUmA6OvP4/cAQWtPLuvp+ewXhQMKODY7mMJ27sNKBDnpCCcpsVy3c4//3w++OADAO644w7uuusuZs6cyXXXXcfcue27knNrUAIBJJ0OWZf4oUVTFJB1iT9LcjwIokbVhJa8td1mNKVeUKp2WEnsNKM2tmSmph2vGgkTDoZi6bNSbHnM6Qw12RmBah+lx0t598n5vPGH1ziwaX+jr7m6wn1Wd5nS7NZ4i936vNXehICIOc2M3qCnIklhLUFoiypPVfDmI6/FgyEAkVCET/79MZkDuuMtqSInP4vvPnknI2eOpsfQnkyaO4Xv/fUHsYySDDvDzx/BrQ/dCm4/Xfp1AyDo9rP82Y8YdulEIFYYecWzC3C30LmhRiJU7diZEAwBiLjdlG/ajBIKoTOacPQbiL1XXwwOJwanC0ffAdh69mmwhDAZTVXxnzyREAwBUIJBKjZvJBo8+4LPwrkh6/WYs3NxDhyKMSMLg92BrUdvKrdsTQiGAASKiggUl2LKqgskhEpL8R4+1Gx1ZKLBEAc+WUPlgZMJ2z0nytjx+hKiNedjNBRh58J1HN9yML7PqGumse+LzQnBEABPcSVf/PWdZj3HMvOy+OYjt3PJ9+fQc1gv+o8fwE3/dwv5vfP5/H+L4/sFPAFe+c3/qKrpSHE2HJkOrnvgBm548Eb6jOpL71F9uP6X87jul/NwZLbvL82dnRIKUbl1W12NOmKfLat27EBt5++XIU+AL//zSUJdu2gowpoXFhGo9rXizL6+aDDCJd+/lKvuvSZ+Tl517zXM+f6lhP0NC5MLQmfWYhkizz77LGpNgc/vfe97ZGRksGLFCi699FK+973vtdQ0OoxoMNBguQzUZogkLpmREzJGFHT1sjZqsy1URamrI1CzXlTTVKSaRruxGiKpLw61KZNKKEQ0GEbW6ZBlKel6f6PVhCRJHN16iA+f/xij2YTJYmTb0q1c8r05TLh8UtLncFd4ziogYrVbObL3WIPtPo8fV71UQUmSsLtsVJZVNfnYgtBaopEoa99fHb8rfro173/J1MvGc+yz9QQq3Ey6ahqWbBeHV+3k88deI7tvPkOG9SLsC7D++U9QwlGmfPeSWG2fcBQlHKXiSDEZ3XOoOBorprd9wTom3zG72Vv1KeEwwdLkBScjbndsCY3JhM5oQpeZjcEVK/p6NjUZlHAY37HkacRqJELU50VvNicdF5qfrNcj2+zorWlomkq4qholGEq6r//ECdJHDCNUWlf00V90krTuhciWphchbaqQN0DJjkNJxzxF5YS9fkx2KwG3jwMrdySM5/bvxtZ3ViZ9rL/Si7esGsc5aH+bSmZeJpmXTWLotOFoqsq7f3mbg5sONNhPjSps+3wr5910/lk/hyPTwaBJg+kzqi8AxiRF1YX2RYlE8B5OvkQRwHPwIPphw9C1w2UzAY+fXZ9uSDm+65P12HJcWJtYt64tiYQiLH9zGTuXbaPH8J6MmDESNNjy2SYObznEoKlDuPyuK5PW+ROEzqjFAiKyLCd8Mb/22mu59tprW+rpOxwlSctdSLJkJhpNzBhR1YSASe2fE9rs1utQU7unpNOhKUrN4xsmFtUGRNRQmEggjCRLKb88GW2xLxur5y/HmeVk9rcvQm80sPajNXz0zw/J/f/s/XeUHFl63gn/7g2XPssXCt6jYRqu0X5cjzecGXI49JSoWZklxdVqyaW40tFKK3L1iVx9+iSKEkXqkBSXQ9GJnOF4721P+254bwrlbdrIDHPv90dkZVWiMgtAN1yh43cOpqciIm9E2oh47vs+z5Y1bNm/ddnjCtOFG0qYWSCVTVKeL7e0AwFUitUWDxGATFeGuVcxKxYTc6cJPJ+pK51d/2fH5qjOlihciZJjXvnjL3DkFz/EsYaHwPiJK3BNr79bqGCnHFwvarErTc6T7M5AYz/F8VkCz7/tgsj10gqujdt9VeaUSrXMdF5LUKlAb9/NjxtzSxFSIpCE1fapLrBwjrpGdNd6xff3tRDW/baRuwt45aiVNagHy+LsdaAI/c6f7/LEPOy9FUe5Mul8muJ0gZEzIx23Gb84dtMeX0uJhZD7Bx2G0W9iB4KqG/1ur0JBJKh5lFa47itPFghcD1apIDJzNZpcuPTyRS693Crkzlydxq97sSASE9PgzuUlAnNzc/zhH/4hJ0+eRAjB7t27+chHPkJPz/Jox5iVCV0Xu3v5bJIOQ4RlL/k7aGmRWdYys2C2ujSic0EQWZI00zRlDQJEGyFGmCYIQejV8Vwvcp3vEMdpJyIxwnc93vS33o7V8EF55L2PMjMyzSd+6+P8o9/735bFeRZmimwZ3Nx2zHaksinCIKRacptCitaaarlKMtU6A5ztysQtMzGrAsuxGdq2lqsnl1c/AfRv7MdrlPpaKYe1j+zBcKymJ8D6Q9tID3ThlWsMP3eGetkl1Z2lXl4sfc6v7WXmeyeaf/ds6Md0bv9NzkLrXSduhTeEkBJhWR09kaxM9jXvI+bWYa7g6SJMY7kHmZTN89UtP5aEvcR0fDl2NkW9VMW0TQzLbBFApCkxHatj5HxuaPl1UOiHeG4daRo4qVvni2I5Fv0bB7h68gpbDm5lw+6NhEHI6adPMT08xfoHNrxqMSTm/kKaJlY2g19sn8JnZdLR9d8qxErYdK3tZa7DBEN+bS9WanWKe3bCYs2WNUxcGGftznVsO7QdgAsvnWfk9FUGt6yJhcuYmCXcsV+xb37zm3zwgx8kl8tx5MgRAH77t3+bX//1X+dTn/oUb37zm+/Uoax6dBiifK99hYhqjdzUYdDcTmsNSrVEbS1UTrTMZi2sV0s9RKKPigqCtvsVQiBNq9kyAxrT7nBz0zi+7r4c+b784hhS8PgHn+QTv/Vxnv38Mzy+pHVGa01xtnhTFSIL2y59nFf3Cf0Q5xqDyEw+zflj7UuhY2LuJQzT4MgPPcrzn3922Sw0QvDIex/m4ie/zbrH9pLbNMTZ7xylVKxx4ENPkurv4sWvvsixly+Q68tz+MfeSFCsUp0voxqiqJV0yA/1MD8y3RhSsOfdDy8TKG8H0rZIDQ1RvcbfA8Du6Wn723PT+3AcMps2Uzp3tu06MxWnYdxLGMkkZiq1zEMEIL1hA7XJidZl6zfcNlNVO5NkzaGdjD1/etm6rs1DFMfnOP7pz7Hx4QfY+dSBlnL8q0cvsvOpg5z4wrPLHpsd7CK9xGdDKUVpcp6jX3yB4aMXSeZSHP7A4/RvXUPyJs6BnUhmU7zj776LWrnG5WMXOfODU5i2xeF3HyGVS7F+98bXvI+Y+wNpmmQ2b6Y6Ota2TTO7deuqbJcBSGRTPPCOw1x65tQykVMIwe53PUQyu/qqQwBM2+KJD7+RnY89wPSVKU4/fRKAXY/t5skPv5Ge9b2dr9FjYl6H3DFB5Bd/8Rf58R//cX73d38XozF7E4Yh//Af/kN+8Rd/kWPHjt2pQ1n1BI3IXaOjh8jSipAQmWhUdyz84C9Zv9DG1NIyIxc9RJrbmQspNSsYq1oWql7Hr3lo3d5QFWCqUcaXSi/v8e5e0832w9v51l9+gyPveRir8YNdd+t4dZ/0TZQuLviNFGdLDG1eA0C11IhVu6ZCJNedZX66gFKqpbUrJuZeJJ1N8GP/9Mf53O99ltJMlKSUyqV4999/D4WTl+jauhaSCb7+nz8JQH6owP4ffxN/+mv/vSl8TF+Z4sIL53jb33knaiyqjsqt6ebhn36K5//HtwBI5FIc+cm3YCbvzEyStCzyD+xCQ4vpqdPfT/fePTdkmno9hBAkB9egfI/K8DA0fvvMTJbuvfswYv+QewozkaDv4SPMvvwy3nwU7Y4QpDdtxOnuZv7Eseay1Np1pDdsaNvWeUuOxbHZ+Z5HQWvGXjzbvEHs3bmB9U/s4/t/8HmCmsexT3+fIz/7doK37Ofct4+hQ8VLf/Md3v+v/jZ+3eP8t442xcy+rUM89nfeiZFYvDmZuzrNx/7FR5vVJHPA6Ikr7H/PEY58+A0k2pw7b5ZMd4aP/+ZftkRwj565ypYDW9lycHnLaszrFyOZpPfwIeaOHUfVIz8fadt07d2DscoFZDuT5E3/8AP84E++Qq1RWZnIpXj4Z9+Gnb31PkR3Ejtp860//XpLi+34+TH6NvbzU//X37qLRxYTc+9xxwSR8+fP87GPfawphgAYhsEv//Iv89GPfvROHcZ9wWLkbgdBpGGKSqhAq2afvW5cgEljSc914//rNhUiLYp5w4fketG7Yb2G79ZBda4QuXpqmASgOvRT73/qAGefP8srX3+Zh94VVRMtpMXcVIVIQxApzC6WelYbPd7XVohku7OEQUhprkS+N09MzL3M9JkRLn/9JX7o778H6ViRACnAEILMkw9iODaf/r8Wf1e3v2U/n/svn26KIUv52ke/wj/47V9gxxv3UZ6aJ6gHHPzhqDorqPuc/soL1Ms1dr/j8B15bkYiQffePeR2bI9a9AwT6di3dBbSsG0ym7aQGlqH8v0oscuybongEnPrMVMpeh96COV56DBEWlZULaQ1/Y88FpmCWybSspG3uXzfyaXZ/SNvZOvbjxC4dQzL5OrL5/n+739usR1Ga577719hy5N7+cD//XMENR9pGYyfGqZ74wDv+uc/jV/zMC2TesXla//pEzz1v3yQVC5Nrezy7f/2pbatNa98/jn2vO3QaxZEAj/g2c/8oEUMWeDiyxeYujxJtidOhomJMCwLp6+P/kcfQTWuAQ3LQiaTq34C6eqL56gWKrztf/9wdO1KVCV58QcnKU/Os+fdD9/lI3z1nH/+XFu/sekrU5x/4SyHV/Fzi4m51dwxQeTw4cOcPHmSXbt2tSw/efIkBw8evFOHcV8Qum7bPmmtddQWsyQ5Bhb9P5pRhGLxBCaQIGkxoWsakF5jtCoM87oVIkGlgud6aKXalthXClUK00WS3dnIoK4N+f4uNuzeyPc/8V0Ov/MhhBBNQSR1E4KInbAxbbPlos8tL1SILBdEAGYn5mJBJOaexq/VufjdYxRHpnn5z7+2bH33xgF2v/+JFvHDyaeYG5ttO55WiunhKcaePc3Y8Q5pAkKw8aEdpHvujL+GtKymUfNt24dhREkktyGNJObWY9h2W8Hqdn9O2mE6dtNTpzAyzbFPfm/5Rlpz8TvHWHdwO2v2bGL2yiTP/uny7+sCU+fH6FrXR71SZ/RUe38giFpveta/NtPfarHK8W++0nH9i196ns0Htq76m92YW4eUEplene0jnShPF7jw9Emmz481TceX0rNpkA0P7SC7JJVwteCWqrz05Rc6rn/xS8+z+8l9JFd5FUxMzK3ijgki/+v/+r/yj//xP+bcuXM89thjADz99NP8zu/8Dr/5m7/JK68snpz3799/pw5rVRLWXAzHWRZpu1Dl0Wx5Cf3G30bb9QsIKZuRyNGCxnjX9IsK00Cv4JIvbRs1N4vv1lGhatsyM3ZxDMOQSFMSep3H2v34Hr70377A8MkrbNyzicJMVCqduYmWGSEEmVy6tUKk1L5CJNcQRGYm5tiyZ/MN7yMm5s4jFn1+2iFFm9UrbE9DBF1hzGj9jR9hTMzrhut8LxbO0yt9ZYGW9Ldbsd2KYyz539u1j5iYex0Ny66jl7Kqvwei3XXA0tWSFSOzYmJeZ9wxQeSnfuqnAPjVX/3VtuuEEM141PA2RebdLwQrRO7CouChGhGWzYSYUDfWt/5KCimb62DJzZFqNWyMKkRaYy+XIi2rEc0bHUc7QWTi4jj5/jxSCIJ6QOgHzfSLpazbsY5sT5bnvvBsQxApYlrmTbtip7KpppgCnVtmkukElm0xM95+Fj0m5k7jux61UhWvUsN0TJxsisCtUy+57P/hJ5G2QXWuQuhFUaDSMgnqHnY2TSKTaEm5qM2X6V3fx8zV6WX7kaZBvjeL2L+VsWOX2h7Llsf3kO5+ddUhWimU7zVLraN2h+WC7q0m9DyU70GoEI0Wi1cV0xtzxwlqUZSnVgppWgjLxLDunXYmv/E99N0ahmVx8MffjFuo0LdtLcoPkKZBYTSaHLBzKSbPjeKkHXo2DTB7eXkJuxCCvi2Rz1Ui47Bu3yZGjrWv1lq/b/NrPv5UPs3+tx7g+x//btv1h991JK4OiWlBqRBVrzdanXWjiu/2t6jdTrJ9ebY9sYepc6Nt1299Ys+qrA4BSGaSHH73EUZOX227/vC7j5DMrm7/l5iYW8kd+yW7eDFO8LhVhK6LnV/e1rEgRDQrRIIQhGwKIM31RpsKkWvSKoQULaaq0eMMlFfveFwLIo1pCDxY1jJTdz0KUwW2HtxGMFNECPDKNZLdy2MVhRRsf2gHx751lPf9wvspTBfJ5NM3fRMVCSJLK0SqSENiXXNsQgjyvTlmxmduavyYmNuBW6hw7FPf4+J3j6O15g3/8ANMnrjM2S8+S+gHDO7dzOD+bbzwl9/Aq9TIDfXw4IfeyPf+7BsUJ+bZcHArB3/0DTz/F98A4OzXXuLtP/cO/vrf/lVLFCjAW3/2rYx8/zjb3v4Q3RsHlkUQdm/oZ+2Dm1/V81BBgDc/R+nC2UXB1jTJbd+FlcvfNoEiqFYpnDxOUK00lgiSQ0OkN25qa0Ydc+8QVCoUzp4idBdTZRIDa0it24B5DxjeuoUyxz72LcZfudBc1rN1iAd+6Ame/q+fwq/WEVJw5O++jzPfPcHT/8d/Q2tNujfLm//eu/nm73xqWXXkoR99A04mKl130kne+Hfewcf/xZ/gua3n28MffJxUV+cY4hvFMA2OvO9RTnznOIXJ+ZZ1Ox7ZRd+Ggde8j5j7h9D38YuF6He8OdFmktmyDTvftaq9l4b2bqZn8yCzl1rTqro39LN+/+o2F95yaDtD29cydo3gs2bbEFsPb79LRxUTc29yxwSRTZs23ald3dfoMER5dWSHhBmgmSKjggApF284VIeWGYRoiiWLyySE17TMGCbar9AJ2ZjBsxMm1QIY15iqTg1H6TJd/XnmitHFbr3sthVEAHY8tIMXv/wCJ757nMJM4ab8QxZI51JMjy7OirsVFyfZfnY6151lajQWRGLuLqEfcuarL3DhO1F6xuDujaAUpz7zfSCq6Nj4+D6+9TufaBof7/vAE3z1P3+aeqUGwPBLF0h1ZXjLP/ogF39wivLkPPW5En/vt36eF774HFdPXCE/2M1jH3wc6ftc/NoLXPrmi7zhH7yPidPDXPz+CQA2P76boT2bXvUsWVhzKZ491bJMBwGFU8fpOXAYmbr1Pelhvcbc0ZevEW817tgo0rJIb9h021JIYl4bgesyf+oYymutRKxNjiMtm9S69Xe1yseveZz45HdbxBCA2QtjHP+bb7PzHUc4/snvsvbwTs4/c5qz3zne3KYyU+K5j32Xt/5vH2L4xXNMnR0h2ZVh2xN7KE3ORZVeDbrX9vFjv/kRTn3jFYZfvkgyn+Lg+x+ld8MATvrWiEL5gS7+9m/+T5x++hTHvvEKlmPxyAceY92u9WQ6nJNjXp+oeo3imZMty3QYUDp3mu59B1a1IFKv1HjgHQ9RL1YZfuEsWms2HN5BqjtDreySHei624f4qsn15vix//OnufTyBV784nNoHVWGbD6wlVxvbJocE7OUO1rr9id/8if83u/9HhcvXuT73/8+mzZt4rd+67fYsmULH/zgB+/koaxawlp0wyOd67fM6DBoGqxGfzcqPq4RA6SU6GB5Bvu1FSLSNNEqRCvV9oZiwdwukY7+e20rzPTwFJl8Gsuxm+009VKVTmS6swxtG+Klr77IvFttpsbcDJl8mnNHFy9e3UqNRLL9DHG+N8fkyNRN7yMm5lZSK5Y5+/WXmn/vftcRTn5q0bRxYO9mLj93uimGZPrzFKcKTTFkgdPfeIULT59i11v28+YfexPJfBrDMnn7R95F3a1j2RaWY6GVon/7OjAklmOTW9PN+oPb0ESl9a8WFYZURjqbQ1bHRslu2XbLxYnAdTtWslVHrpIcHIqjde9RQre6TAxZwB0fIdHfj0zevTJvr1Rl9MVzbdcVhifZ+a6HQcCaB7fypd/+5LJtJs+N8pl/8xe8///8KRJJm1rJ5YU/+ypetU7/trVkGsKjkIL8YDdHPvwGDrzvEQzTwLrJdtEbId/fxcM/9CgPPnUAKSVOKq6eimlFBQHVsZGO6yujV8lu3XFLU8DuFLWSy8ufe4bz3ztJ9/o+1u/fAsCpbx5ldniKLY/s4g0feQfJm/Cuu9fI9ebY/9aD7Hz0AUDfksjumJj7kTs2Tfa7v/u7/PIv/zLvfe97mZ+fb/qEdHV18Vu/9Vt36jBWPUGjjLhd2feiINJIlfGDliQarVRkuMi1HiIiWrd0mWizzDAb47ZPh1lIokmkG60zS9pSNDA9Ok22L1KlDctECEG9YXLaia0Ht3Hx5QvMT86TfhU3Z+lcmkqhQtBoE3DLbkcfknxfnqnRmWVmsjExd5KgHrSU1NvpBJWp+ebfye4spYm55t+p7ixzo+29b/yax7EvPIfWuilQGqZBKpvCcqILWCElViqBtURkTebTr0kMgej3KKx2FjyDamV5ZdotYKV9Rh5HquP6mLvLYovTcu6F986vebDC+cGr1DAsE6UUod/+s62VZvriBJeePsHF7x7Dq0biXXF8btm2hmGQyCRvixiygBCCZCYZiyExbVFhGCUbdiB0XVilvn+eW2O+ce6cuzrN0c89y9HPPctso5p5fmwG3+3sm7eaSKQTsRgSE7MCd0wQ+U//6T/x+7//+/zzf/7PMZbcpB85coSjR4/eqcNY9YS1RuRuGyOrhaSYpmdI6C8TRNrNxgopUMtaZgRc6yFiLggiK5wgDINkJrp4W1ohUp4t47ke+b7I+0Sa0XHVi51vXgA2P7gFYQjcucpNJcwskGnc1BUb0btupYbT4eKyuy+PV/MoLkmliYm505iO2WJI7FVqpJe0rNTmSmQHupt/V+fLdA31dBwv3ZNtft9ulHq1Rr1au/6GHVBKobXCWGE230ylm+ItNC68fb/jTa8KQ4J6nXCl3x/ASHXepzCMuF3mHsZcoYWq03sXeB6B6y7zxrkdWAl7xbgYO50g9AOkkCt+5zK9WbxrKrpya7qXbReGIbWyGwkxMTF3AWkYGInON9JGMgmr1KzaTiZWPHd2DfViJVdvO1BMTMyNc8euDC9evMihQ4eWLXcch0ql86xQTCuh62J0SmgIw5aEGB2GbQSRNo+Tsll+30SIZcuaaTUdKkQAtDBIpG2kIVv2NTs+E8Xg9kRJFQsXi25h5ffeSTqs27EeI9SkX5UgEvVCzzdm2KsrVIh0NW46J4bjtpmYu0cin2HHUwebf5/84nPseMeR5t8Txy+x6eFdzd+A8uQ8+YE8docZ3sMfevKGjRjLsyVOf/sYn/u3f8Vn/5+/4vS3jlJuiIk3SlCtUL50kcLJEyQH13TcLjW0NjJ09n28QoH5k8eZe/klihfOE1SrTWFEKUXgVqlcvULxzAlK585Qn5slrLcXbMxksq3HEkBq7fq2CV0x9wZGKtXx/UmuWdvyvga1GvX5OYqnTzF//Bjli+fxK2XCFc5PrxUnm2LtofZmhPkN/VHllobxYxfY+ca97bcb6sGv1lsqSNK9OdK9i0bpWmkKE3M8/7Hv8pnf+Eu+9NufZOTEFWrllSsqY2JuNdI0Sa1d13F9eu36VdkuA5DIJtn/3ofbJ1ALOPC+R1Z1u0xMTMyNc8cEkS1btvDSSy8tW/75z3+ePXv23KnDWPV0ityFqKS42S7TKGFcakCnwg7eH1Is+oss0K5lRkqQRseWGQClBcmMvcw/ZHZ0lnRXulkdtCCI1K4jiAAM7ViLZRgYryITfqHNZm46it51y+6yyN0Fuvq6EALGhyfaro+JuRMYpsHOtx1m6xv2IYRg4uQVhGnwwPsei8rxg5ArTx/nkb/zTuyGweKxT32Pt/8vH2gxgJOmwaEffpzND+24oXSm8myJz/+7v+arv/Npxk5dZfz0Vb76Xz7D5/+/f33DoohfqTDzwvNULl/Cm5vDHR8js3lrizArTJP8rj1IJ4EKAtzxMWZeeI761BR+qUh1+ApTz/4Av1IGIl+JuaMv445eJSiX8ebnKJw6TmXkKkF9uVeI4STofvAARku1gSA5tJbk2rVxhcg9jBCS/AN7l1UWJQbWkOgfbJ7Pgnqd2uQEsy++QH268bkZucr0c88SrtB281oxEzZ7Pvgka65Jn+jZOsS+H3kTZ778LACjL5xh+yO72PGGvS3fvb7Ngzz18+/l5Gefbi7rWt/HG//RD5PpXxRE5kZn+Kt/+kc89/HvMnl+jMsvnOOTv/6nvPSZHyzzCoqJue0YJrkdD7RUJgvDJLt9J8JcnWLIAslcirf9Lx9oMSu2Uw5v/YUfItkViyExMa8X7pip6j/5J/+EX/zFX6RWq6G15plnnuHP//zP+Y3f+A3+4A/+4E4dxqqnU+QuRCLIQqTuQjQaxhIfD6Xa3xiJ5YKIkGIxtWYJ0jRXbJlRCpykheG0+ofMjc/SvaQ0cUEQ8crR52GlG7Zsfx6tNcXx+Y7bdCKZTmCYRrNCxC27ZDrMllu2Sb43z8Q1saMxMXeaZD7NwQ+/mQfe9TBe2cV0LLq3DDJ0YBv1kos0JU42xTv/z5+hXnLRWpPsSvP+f/HT1MsuoReQyKVI5dOYzo1dsF49epGpC+PLlk9dHGf4lYvsfsv+FR8feh6lC+daBFN3fJywViezeTtGwkFIibQsZKPKLXCrFM+dXT6YUhROnaTnwQNULl+MDKKvoTYxRnJgDTjLBU4zlaL7wQPRb1WoEJaFtC2kcUd9xGNuEuV5zB49Stfu3UjTiM5Zhok3P8/syy/Tc/AgZiKBDgJKF863GUBROH2K7gcPYCZvT798Mp/h4E++jfoPPY5frWMmbJxMEmFI3vzLP4FXrWE6Fk42yZPb13H4R56gVq5hJSySuTRCwpt/6Uepl1zMhIWTSZLuWUx8qFdcvvP/fnlZ5C7AC5/4PrveuO+WJc3ExNwI3twsXrFI1wP7mr5PwjCojI6ganXMDRvv8hG+eq6euML4mRHe+89+gqDug9ZYSZvjX3sZrx6w560H7vYhxsTE3AHu2NXhRz7yEYIg4Fd/9VepVqv89E//NOvXr+c//sf/yE/+5E/eqcNY1Wi1ELnboeRbqcXI3cZNSUtEYag7eIjIpv9Ic5mQaLX8JkRcRxAJAo0pBanc4gWbW3KpVetkG+0y0XE1hBulqJdcEitE6taqdbwwZOLCWMdtOiGEINuVYX6qUSFS7ewhAtA90M3opeU3hTExdxoraUf9y0tj/7JpMgOtXgNLb6aAZlvazVAvuxz/yksd1x//yotsObKDRKbzTaYKfOozy2Orvfk5vPk50hs2kdve2m7glzpXngTlMlqFeIX5jtt4czNYmfYCp2HbqzoO8vVIfXYWv1Bk6ukftF2/IPT75VJHc9OgUlmcELhNWCkHq02LmtWm+tBOOVw7hZHIpGCo/di1cp2rxy513PfVY5foXtd3E0cbE/PqCVwXd3wMv1CgNja6bL2fyWL39mGt4N10r1Kr1DjxlRcZPzPCia+8uGz9wNYhtj68k0Q2NiONibnfuWO1w67r8jM/8zNcvnyZyclJnn76aX7pl36J9evX36lDWPWE7kLkbvuWD7XgIUJ04SiE0eLjoZRq+44L2fAcWXqB2aZlBqIySeV1bpkJ/GiMZHbxGOfGIxfvTPcSQWSJ4dz12mYqhQqBVhSnCsxPzq+4bTsyXRnmp6PHuRUXZwWTrN7BbkYv3rzwEhOzmtGwcrqS0tFGKyAQKyZw6HYDvMZApzgP6v7iugFf+pr/vg5Z5vcVE3NXWc2fR73ib06cOBgT8/rhjlWIfPCDH+RDH/oQP//zP49pmnzgAx/Asiymp6f59//+3/MLv/ALd+pQVi1BLTJUaxe5C9d4iAQ+wmxVP1SoEKJ9hQg6CpURCzqFEG1PBtI0CcpexzYXr+6jTd2M3gWYm5gjmUli2daScYyF3eDOl+na0N/xeVcKZUzHxjRNLr9yga63H+64bTsy+Qwz47NoralV6h1NVQH61vbx/Ddeol7zVqwkiYm5n0hkkux+y34mzy2fAQR44KkD150lE6aJ09vbtkoEINk/sGyZlc0iTJP0+g1Y2SxaRb8rtYYvBFJi5fL4xULbMZ3uzgkBMasPp6cHadtkNm/CymUjIU4IqmNjhJUqsuFNZWU7V0GZqRTiJlOV7iWctMPaBzYwemq47fr1+zbf2QOKeV1jJpMkBwbRoSK9fj1yIW0wDKlevUqifwCxSivxEunovDdxdqTt+t03cN6LiYm5P7hjFSIvvPACb3zjGwH467/+awYHB7l8+TIf/ehH+e3f/u07dRirmtCtdozchUgQwVhsmRHXRqEphTDae4gArRUhnSpETAu0btvTDxB6IX49JJleFD8KE/NkrjGnWvA6MWwLd67cdqwFyoUKyUyC/k2DXHr5wk2r9tnuDLOTc3h1H6UUTqK9oATQN9SD1pqxuG0m5nXGpkPb6N6wvBS/e10vmw9vu+7jDdsmu3V729+nRP9A28o2adv0HDhEfW6WuaOvMH/8KHPHj4IQdO19EDORJLNpa0s8b3PMvgHEKk03iGmP4Vj0HjmMNzfD/LGjzJ84xvzJ45jJBN0H9mMkolZMYZpkNm9ZPoAQ5Hbuwlwh7vleJ5FJ8oaPvLOt98+D736IVPeNJUbFxNwq7J5eMhs3UbpwnrljR5k7dpTSuXOk1q/H6e/H7HBNuhrYeGgbPe3Oe2t72fxQ+0SpmJiY+4879itWrVbJNmZ1vvSlL/GhD30IKSWPPfYYly9fvlOHsapZMXKXSBCRjRsEHQTLbkBUqDDbVIhIuVQQaVRuSNmoX9YszSRbuNlRnods4y4eeAF14eMkTTQQBoribIlN+za1bCeEaIoi4yeuMHlpEsM2ya/pZs2ejeSW+CaUCmWSmSRrtq7hxbMjzI7O0HsTPdS57izzUwUqjdacFStEhvoQAobPjbD5gdVrFBYTc7NkenO8/5/+BJeeP8uJr70MwO6n9rPlyE4yvbnrPDrCSKXoPXyE6ugI3uwswjJJr1uPlctjJpYbQeowZP7kccJqdclCjTs2imHbmJs2YzQMUqvjY/jFAtKySA4OYWaymE5sLnm/UTh+vDVSWSmqI1cxEgnMZBIhJabjkBxai5XPU7lyBVWvY+WypDdsRN4Hn4me9X38+G/+Txz70vMMH71EMpfi0AceY2Dr0Io+PjExtwWtmD95vKWnTfkehZMn6Hv4kbt4YK+dTE+WH/qnP8GlF85x4qsvAfDAW/az9eEbP+/FxMSsfu6YILJ9+3Y+8YlP8CM/8iN88Ytf5Jd+6ZcAmJycJJeLf3RuhMB1kU7nm3kdhlFLjNaowL8mdpKG6WobMUUurxBpii5KwZLZ2Wa5pO8ByyPJgrpPXfmku9LUgcJ0Aa11S7JL6AdMnR8jDEJUo0TezKUJ6j6Xnz/H+e+dZGDHWva86yGSuRTl+Qq9a3roXtuLnbC59PKFmxJEst1ZVKiYGp0GWNFDxHYsuvq7uHq+fQllTMz9TKY3x953HGbbY7sBSGSTNxTZu4CUEplOk92yDbV+A0ixomgR1mqtYsgSKleHSQ6txUwmkak0mY2bo1ZAITE6+CjFrG6CarVVDFlC+fIlkgODzSoRM5HATCSw0hm0ChGmhXGfVAxJQ9I11MPjP/0UD1XrSMvASa1+oSdm9aGVojI83NHgp3z5MvkHdrca+K8yMr059r79ENsefQC4+fNeTEzM6ueOtcz8y3/5L/mVX/kVNm/ezKOPPsrjjz8ORNUihw4dulOHsaoJ3WpH/xBoCCKGRDUc9uU1fdRKdUiZaVSNtETvLogk+pr0GcMAKVFe+6SZoO7jVX1sJxqzMDWPISWpRopMdb7EhadPURibxTANkvlo+dbHd7PzLfs59KEn2PrEHuZHZvjOH3yBmUsTUctMOomUkoGta7j0yoVlqTgrkWukbkxejeJ0V2qZAehf28fw2as3PH5MzP2EEIJkLkUyl3rVF4XSNDCTyetWcARuezEEot+zhYjHaEwTM5GMxZD7GL/S2WBbB0HL52EBw3Ewk6n7RgxZimGZJPPpWAyJuWuoMCQoXycNLFz+vVxt3IrzXkxMzOrljgkiH/7wh7ly5QrPPfccX/jCF5rL3/a2t/Ef/sN/uFOHsWrRYRi1qXS4GdC6UeEhJboRuSuM1gIgrcK2P/SiWSGyOAPQFEnaONpL0yKs1wlrLjpoPREGdY9a1ccwBALF/OQ8qXwKISSFsVmuPH8ewzYZ2rMR07Githmt8aq1xrFI+rYMsu+9D5PuzvDsX3wTW0MqHV0QDm1bi1tymbh44x4f+UYs6dRIVCGyUssMNASRc1djh/GY+wIVhvg1DxXeuIj4WtFao8KgpepMhSHqmgtno00bTRMp23qHrES7fcTc+2ilUEGAmezcDhKJ8at3Fvp6aKWj72kQf35j7h2ElBgrROoaqdRyv7pVSuD5BCukKMbExNy/3FEnpDVr1rBmzZqWZY88srr7D+8Uiwkz7W/mF2bOhJSEC4LIkgoRrTUoWmJ4m8gF8aPVVHXZsiXbe3NzVEfHQQjS69aRHBpCCIFf9wmCqHpECkVhcp5cX4650WkmTgyT6s3Ss3EAIQVCyqY7iVdycZb0RpuOxY637OfU115mQ6gwG9pErj9PKpfi4ovnGdq2duUXrYGdsElmksw04n+vlx4zsK6PSrHK/HSB7v6uG9pHTMy9RlD3qUwXOP/NlylNzNGzZYjNT+wh3ZNbVj12KwlrNeoz09RmppGWRWpoHUhB6cIFhIDU2vVYuVw0s59IIh0HVa8vGyc1NIS8wfSC0KsTlMtUrl5Fq5Dk4Bqc7p6VBZeYu07o+4TVKpWrV1CeR3brdqRlofzlNyWp9Rs6nv9WM1prqjNFhp8/w8SJyyS7s2x/6iCZ/i7sVFwNFXN3kYZBZsMmahMTbddnNm1a1e0yAG6hzOzFcS58+ygAW97wIL1b1pDsig2MY2JeL6xea+jXGaEbCSIdK0TCBUHEQNVchGG2VIPosKEotKkQkW3Ej2ZrzTWCiA59gmoVISC9fh1BxaVy9SoIQWpoiLDuE9aji1kd+FRLLj0D3UycGCbdl6Nn40DTo1UYEq0UwpB45SrQGqEppaRnxxDTV6conB2jf8sarITNmu1ruXL0Eo984DFM+8bKpLt6c8xOzgPXrxDpWxv5k4ycH40FkZhVSRiEjB+/xNN/+LnIFxmYOjvC2a+/yJv/8Y/Su3Xotuw3cF3mXnmxpaWuPj1FYs0QViZDZfgK9dlZ7K5uuvbsxUgk6D14iNlXXolStBo4/QNkNm25oQvt0PMonj1LbXLxgt2bm8NIJuk9eDgWRe5RlO9THblK+eKF5rL5k8fJ79lL8fQpwtqil0hiYJDUmqG2LZ+rndL4LF//d3+F7y6KgleeOcX+D7+JLU/sxYrj32PuMsI0yO18gNL5s0uuNSWZbdvbmuuvJtz5Mj/4b19g+tyib9zEySv0bh3isb/33lgUiYl5nXD/XV3cp4SuG1VUGCtE7hKJDMr32rTLRMKGbBe7u9AyE16/QqQ6OgYNI1QjlSIx2I/T3UNl+GpkiOcHqFATKvBdF0MISmOzJLvSLWJItA9Qno9lSubPXuXyV19g+sQlQn8x0rdWrTNRKiOAkWfOoLVmaPtaAj/gyvEbTyfK9eYpTBcwLRPjOrPjXb15LNvi6oXRGx4/JuZeolas8OxHv9QUQxZQfsgzf/xF3EJnr4ZXiwoCypcvtvUXqo2PYXd3N39XvPk5vEIBADOVpvfQYfqOPELPocP0P/oYXbseuGGvkKBaaRFDFghdl8roSPsqt5i7Tuh5LWIIRO9Z8fQpstt30HPwEF179tKz/wBGwqF47gxBm0qi1YxXrfHCX3y9RQxZ4JWPfYt6sbPHTkzMncKbn6c2NUH+gT107d0X/duzF29mmvrc7N0+vNfE1NmRFjFkgZkLY0ycunIXjigmJuZuEAsiq4TArSKdxchdrUK8YoHa9BTe/NziTYiMBJFrS+KbYkeb2F0hJIgOLTNLTFWDcpmgUsHMRIq5bpi3Ov19GLZF+fJlQj8SZpQWiNAnaVvYCZveLYPNffiVGtXxWcJSFR00fE2kxMmnKV6eYOQ7Rwnq0fNxyy6GZdK3cx2VyQJzF8ZJZlP0rO3l3HNnbvj16+7PU5or4ySvf5MlpKB3TQ+jF8duePyYmHuJ6kyR0AvarqtMFfAq7i3fpw4C6tNTHdd78/NYSxLFqiNXmwbQhuNgZbM4Xd2YqXQzPvy6+9Sa6mhn4dIdG20kYsXca3gdbqTCWo35Y0fRQUDx7GnmTxzDHR3BL8yjw/af6dWKV6kxfbZDopmG6ViUj7nLBPU67tgY3twc88ePMn/iOPMnjjN37Cj12VncsVGCWvtkqHsd361z/luvdFx/4Vuv4FVW53OLiYm5OeKWmVVC6FaRjYQZb34Od2KsaaK60NYiLQONRvkBRrLVBEs1zFHbeohEKxbbapZu16wa0dSmp5C2g5FOo2pVVOAjbRshBU5/P9WRETI5m0rRwy3VcUxNPm0jhKZwdiSqDlk4DkMibIvQ80nk09TmyuQ3ryE92M30ictMPH+GtY/vpVp2cRI2yZ4smTXdTBy9RHZtL2t3ruPYN16hOF0g15e/7uvX1d9F3a2T7cve0Ovdu6aH0UuxIBKzOln6XW67/nYZBq80rlatbXy36hhWqACJjZHvXW6ocufa9+8+ezuv9/GMDVZj7jpat6YNXvOh1Vqv2t9ZrfSKCTkqVKv2ucXExNwcsSCySghdF7u7B3dqgvr0FGY6g5XvQpomOgypz8ygdQV/dhrQy/s6l5iutkNKgVoSaRjduIjmiTCoVghrNRL9/ZFYIkQzzQbAzGSQts3Axi4un5ikNFlkaFsPoZSkujKNGBzAEEjLRFomftklcD0M2yT0A8IwxEw6dO9Yx8yJyxSvTOCW3WZVR/eWNVRnikwcvcTQ4W1YjsXZZ8/w0Hsevu7r1zPQDYBxgz3ovYPdPPu1i2it4wi2mHsWr1wlcOtorbGSCaxMEiEE6b5c5NHTJlkmkU/jpDqnedwsKghRXh2tFXZXDxpFcnAIEAgpCKoV3NFR7HxXSzVHamgIaUanIOX7KN+PosNNs5mWpYMAYRhIy2rrBSKEIDk0RG1qsu2xJQcGEFbswXAv4vT0UDq/fLlMJOh6YDfStOjadwBpGtRmZ/FmZxBS4BULSNNEWnaUKuT56DBAmhYymUBoTeh56DCMtnOcO2L6qPwAr+IS1j0My8JMJzCdlT97dtKma30/81fbV1b1bV93Ow41JuaGMRMJEgODmJks6bXrmkKmMAyqY6NIy7ph8+t7DSvlsOmxPQR1n11vO0QinwINtZLL6a++yKbHdmOnYw+qmJjXA7EgsgpQQRDdMAQBfnEeq6sbO7dYFSEMA2k7qMI8QkqkbS1rhlILs3Edbu6FFM3qjcVxRTN2tz47F534EgmEAGGaLUkAQoBMpMn1ejgpm1KhxjpDkluTR5jtT5YL4oxhRR/DwPUwMkmcXJpkf56501eplV2cxgnJsAy6Nw8yc3aUnu1DDG1fy/nnz3Dg7YcwrdaPcnm+zPDZEYa2rKGrL093QxDp9PyvpWewB7dSozhXasb2xsTcK6gwpDI2zfnPfJv6fAkAO5tmy3ufJLt+ECeX4sEffpJXPvbt1gcKOPzTbyPRlb4lxxHW6hQvXKAyfAVhmPQ/cgRvbo7C6VPNljormyP3wG6CSqU5G2em0pGnCFGCVuH0abzZGZCS3sNHqFy5gjs21pyNTAwMkN2xA6tN/KOVyWLl8/gNT5IFpGWR3rAJeR8acd4PSNshuWYId3yxEs9Mp+nas4/CqVN4c3NAdH5Lb9pEbtcDzB0/TlAqYiRTdO97kNlXjlObjMQEISXZbVtwenuYffHFxk4kmY0byW7dcsOeNK8Gr+wy9oOjTLxwsilCdu/YyKZ3PIaT6/xdc7IpDv/0W/nGv//rZdUg295ygESuc9xpTMydItHXT1CtMvvyy02DfyORIP/Abox0CmOVpswIIVi7fyu5viwj33yOeqEMgJ3PcOhHniCztj+eEIuJeZ0QXymuAhZOQH5xHjOTbRFDmqgQhEQ02mqCSrm1JLlRQi87tcxIuSiaLCAkhArlewTlMmYm09QThGEsi0acuTpH6Cu6BzO41WhdrqfzBd1CW440o49h4C72+mfX9RN6Po5SOInFC9nMmm6stMPEK5dYt3sDnutx+ejFlnEnr07xJ7/553zpT7/Cn/zGn3Hh2EUSKQfDNNrOmLeje6ALgIkr7WeeY2LuJvVCmZN//oWmGALglSqc/h9fpj5XxLQtNj+2hzf94w/Rv3MdqZ4sQ/u38rb/46cY2Ln+llzkqSCMxJDLl0FpzISDXypRunC+KYYA+KUi88ePYTgJjFSKzKbNZLdtQ4chYb3O3CuvRGIIkNuxk8rly7ijoy2l2bXJSYonT+JXl5tMGo5D994Hye3chZlOYyQSpDdspPehhzGTt64SJubWYtg22W3b6dq7DyubxUgk6Nq9l9mXXmqKIRAZhpcvXKA2OYXd8KDJ73qAqWdfaIohELXgFM+epzY9Q2JgIFqoFOVLlyhdvIRaoTT+taD8gLFnjjL+7PGW88vc2Suc+9Q38K/j15Nf38/b/9lPs/HRB0j1ZOnZPMjj//MPsfs9j2Cn4tnpmLuPCgJmX3yxeS0KkdfP7MsvtfzWr0qCgIuf+VZTDAHwCmUufvZb951nUUxMTGfiCpFVgF+tgCERloXd3dN2G6Wi/nwdhFFritb4xQJWvgshxKLY0WG2VEixTCwQImqZ8ecLCCEw04szXcI0UbVKs6XEq9aZvTyBHszQM5BmYryMXw/I5BxKxfYnlaV+JtKQBLVFQcRM2DjdWbo9nzC5WGEihKB78yCTx6+gXZ/e9f2c+t4Jth7aHj3PUPHFP/kyqWyKt//kW3npWy/z+Y9+iZ/91Z/EMA0C/8Yuirv6ugCYuDrFzoPbb+gxMTF3AhWGTL54ur24pzUj33+Fre99EjudYGDXBro29BP6IaZj3dIIT+XVqQwvuvCnNmxo+bt1Ww8V+KTXb6Q2PUF1ZJjk0DoS/QMElcULUSuTpXDiZNsx6rOz0OGm1nAc0uvWk+gfAK2RlnVfRrTebxi2TXJgELurOzpnlUotN11LqVy6RM+hQ1QnxtFK4xeKbbcrX7pM7+GD1CYXxezy5ctkNm5Atqkweq14FZeJ50+1P5ark/hVFyvdWZgzTIPcUA+Hf+qt+G5kiO7EZfox9whhvU5leLi94Y3WVC5fRu7ciXkbK7BuFyoIGXvuRFs/I600Yz84zpZ3PdZs7YyJibl/ia8YVwH1mSmEEDg9fR1ndrVSCCmbPfdmKo0OA4JyKTK9Cq/TMiNksz1mcZlAK4VXLGAkU60ChmkCujk7MHl6GCklxdkqhm2QzjpUKx7J9AppEc3EHDBsC7/WGj1o5dMkbYvENYk5yZ4sdjbJxNFLdFsGVqXOcKNK5MxL55idmOPwWw6STCd4+G0PYTs2X/mzr5GUBoYXMjd+/Zg4yzbJdWeZGumcmhETczdQfkB5tPPnsjo+Q+gtVm/ZqQTJfPqWiiEQzRoubbMzHafjzSyAXyhQn5kiKEY3ssqrE1Rb438jQbeziV14ndhVw7YxHCcWQ1YZC++bXy533GahItFMpghW2E4HIcvOcko1E41uNWHdX9GYsT7f+ViXYtoWyXw6FkNi7ilUEBCUSh3X+6XSqq0SCX2fyth0x/WV8emWc2lMTMz9S3zVeI+jwgC/WAAhV+6BDhUIgfJ9hGkgDAMjmUR5dVSt1kikEYjll4pAo0LkWpVcCpQXmR2amdY+aGEsmCF6hH7I7MVxkAKvFlB3fbp6EtSqAcl0Z2VdGNHHT6sQwzJbKkQAAinwghDLbz3ZCiHIrulCV2sQKhK2yZWvv4Lv1nnl20cZ2NDfbHkxbZNdB7dTGJlGaBAaPv9fP0ul0Hoj1o58b47Jkc4ny5iYm0WF6qaTI1QQtHw3pWmS6O6clmR3ZV7zjJZWasUUEN2owljwAbF7uhGWRaJ/sK3oamZzJNYMkRhcg5mKfkuEaS4zShXmyr3oNxrHG7M6abY4SUmiv5/k2rXNqGZhGAgpsXN5jJVMgYVY/hkUAmHZKHXrUiOUUgR1D2kZK3pTWZm4bStm9bL0d1o6Dsk1a0gODSEb16NGMrlqBejrnUsTt+BcGhMTszpYdd/0f/Wv/hW/9mu/1rJscHCQ8fHxu3REtxd3LOqll87Ks0ZahY2LMo0wopsGadnoMCSoRjNUK5202rXMgIwEFsNonvya2xtG5DvieZTGCqhQ4XkhhiGolDy6e5OMj1dxEkYjwWb5RahcqBAJNYZtUi+1+gN4NY+SW8euWC1pL1prvNkSCEEoBMn1fdSGpznxuWcZuzTOI+880jJOYXwWIQWVuodWikTS4fnPP8ubfvItK76m+d4cU6OxIBLz2qmXq1TG5xh++jgqCFn38APk1g+QyLc3XNRaU5svM3PyInMXRkh0Zxk6sodEVwbTsVnz8F6mj7WJ6ADWPXHguukWnQjrdfxSierICGhNav36yN+h8f2PUj3q1KYmCGsumS0bsPbtpTY1gTs2gpFI0vPgfqqjo1FMt2nSvf8gYa1G5eJFEILUxk0Ylo3W0c2ptG2UF4mhYa2G3dODN7u8isvMZGJB5D7HymRIbdxIoreH+sw0yvdJrhkku20rfrGEVy6iQy9KHUomCN3asjHS69ZSm1qsoEoMDJDdspnq8BWCSgU7nye5Zg1GIvGqbuTCIKA2V2Ly5XOUx6YZOLiD7h0bmTtzedm2TlcWO3trDIxjYu4GpuOQ3rQJp6cHaZnUZqYRAnI7tqOVxkwmV61Xk2GZDD36ILOnLrVdP/TYfgw7PufExLweWHWCCMDevXv5yle+0vx7tTpcXw8dhlTHohuT6znkLxUzxJLXQzoJdBhimkHTvLQtUqCDawQRQ6BrAWY603YCTBgmyvOYuTQBUmDYBiLUVAoePf0pbNuIYjHTJpVSm7LDRguOUgrDNgm8AI1uVrHUqnWqQUhvqAjLLmY26v/2yy5+ycXpyVKemKd76xrmL08ghiexbZOhzWuauyjPlZgenqJnfR+VC6MgJdmBPBdfvsDhdz1EZoXZgXxvnsunhzu/ZjExN0C9VOXUJ7/DxCuLAsbUiUvk1g9w8Ofe3VYUqU7N89IfforAXWwRGf3BCXZ96C30792C05Vj2/vfyIXPfy9qMyESPDe+9WFS/d2v6jjDep25Y8daxIja1BR2Tw/d+/ZFUdmFOUrnzwDRbGGib5C5l1+MBNkG7tgI2e07UYFPbvsOCidP4S1JgKlNTuL09pLbsYPCqRPkd++heOoUYb1G8expeg4cYv74cfziokeEmU7TvX8/5m3wgIi5d9CGgZ1JUzh5vLnMm5tFWBbde/czf+oYOggIXJe+hw4y/cLLhNXFNq1Efx/5XduZeu55AOzublJrh5h54YVmK1Z9epryxYv0HjmCnW9jUH4dyiPTvPLRz6EalYvzl0bZ8xPvIHBrlIYnmts53Tl2/djbsTPxZzZmdWM4DtXhy3jzi2bH9ZlprFweZ+euu3hkrx0jYbPxbY8w/I3nm61vwjBY/8ZDmLGpcUzM64ZVKYiYpsmaNWuuv+Eqx50cRzfK5eV1VOqovF1HsbvGovAhhMBIplBBkXRfOroobKNuCCFRYWvLCmE0ptnBEE5aJqFbozpbwvNDMt0ZaoUqgR9SLtZJpUyU0qQ6CSKISHQJFaZjgdaE9SD6/0DdraMNiTANgkKlKYhUJ+aQlkFqII87X6F0dYbcxgH8kRk2DPa2RPCOnL6KaZus27WOK+dHMUyDuh9gmAZnnzvLoXcc7via5ntylObLeHUP+1XOuMfElMZmWsSQBYpXJ5k8eoENT+5r8QbyqzXOfOpbLWLIAmc++S3yG9eQ7MnRvWsLB9YPUpsvgdI43TmsdALjVVZR1Ofm2lZmeLOz1OfmcLq7KF0411yeGBiKEmXU8hag8sXzdO8/FI15TRwuQH1mBn/tWoRlUz5/lsyWKBZVKw0Cuh58EO37hK4bzeRbFlY6nmm/7wnDls/YAtr3KV+6QKJ/EHdsBFWvUb5ygd6DD0aVghUXI5nAL5eYP3mS/oePEFSrmKkU0888s8yXRivF3LFj9B05clNxvO5ckVN/842mGAKg/JAT/+MrbH7rETa97VG8ShUrlcTOpLCzsRgSs/rxS4UWMaS5vFjAm5/HTK7ez3nh8jgzZ66y7QNvJqxH18CGYzP2wmmEbZPszt3lI4yJibkTrEpB5OzZs6xduxbHcXj00Uf5N//m37B169aO29frdepLzPiKxfbu9PcSWmuqY6OYqTR+qXj9UnEdVXeINv2OQkr8msJKmKB8MJbf3Asp4BrPgMiELuq9bocwLdBVDEuSSCaQjcqUMIwEkTXrc3j1kFTGAtqbLQoh0aFCNkQMv+Y1BZFatYZtW8hUgqBYYf4qzA1Pk0Djh4ramRHspEN1usDgoW2MXpogvcSDQGvNxMUxuod60QqUVogQZsZn2LpjIxdfubCiIJLriapHZsbnGNo02HG7mFfPavxu3gxhEDD8vWMd11/5/jEGD2zDWXLj5Lt1ilcm2m6vQ0V5bJpkTw7DNDDyWZx85yqnG0X5PtXhztVQ7sgIRsJp/s4AGJZN6C6PwY2OM2qtccfGOo5ZHRkhvX4dxTOnKJ07g7Aseg9dc4P6KmbwY24Nd+O76RfmO67z5udIrl2L2/hIqXqd0vnT5LY/QOlia9QzQpAcGKA+N9fR8DSsVlG+f1OCSFCtU5td/jooL+DCF54m85EfonvbhhseLybm1XAnv5tBrYa7Qku6OzGG3dW9Kttm6qUq48+fikSR05eb7TELRqp+uUrP9vU4uViMj4m531l1TkiPPvooH/3oR/niF7/I7//+7zM+Ps4TTzzBzMxMx8f8xm/8Bvl8vvlvw4Z7/4LFm59F1WvIRAIQSHPlCgUVhlH0rtFe41Khwqv6oH1QbRzBpWzx+dB6IUFGdPSLWxBp7KRFz4Z+VOPCU4UKtxKdUMJAkc50FnNkw7vEsKPjDuuLlSS1ah07YSMTNtoPmD0/hmVFbThOPo1AUJkpgYbZC+OUax62lMxejfrHSzNF6tU63Wu6Cfyg6UMS1AOyfTmKUwUKU8tnrxfI9UQzA7MT10+liXl1rMbv5k2hdMts8rLVbVJVVjIzbT7mFqO1vq6J6rWCqWZlc0qt9IqJMSjVUq0W3bjeGsPLmNfO3fhuXu+z3+7joZeknS0u1K3/7TjezX3e1HWOT9+G72ZMzLXc0e+mVst++1tQCq2v8729V9G65Xwaen5Lqozyw1tmwhwTE3Nvs+oEkfe85z386I/+KA8++CBvf/vb+exnPwvAH//xH3d8zD/7Z/+MQqHQ/De8wkzovUJ1bAwjkQSlEJZJh3CYCE10wtIK2SGlQYeKoB6CkKDqoFsv3KQQLaXvYc1rnAh0x2tGrxIlzGR60piOSdgQRIJAgZDU6wpDQiJlImUnVUU0hByJNIxm0oxGU6/WsByLuYk5tNZ0r+kmlU0hDEmiO0N+XS/5db0owJursHBJPPriebTWTF+dQpoGme4MQeOkl+3JghC49TrSkIyeudrxZc3k0wgBM7EgcttYjd/Nm8GwLdYeeaDj+sH927Cuidk0Ew7J3s6VEenBHqrT8/huHbdQYW5kmtmr01RuMN6zHdKySLZpQ5SWRWbLFnI7ti9LhEFpZIfqMRBIy8Lp6em4z8TgAEYySW7HLsxMFqe3r6OgG3PnuVPfzbBex69U8EtF7K6ujtuZ6TRhvdVE1UgkCWvXLks0xXojkeiYACMt66ZNeq1UAjPVvqJEGBJnBU+q24VWmvJMkZnhKebHZqmVO0dfx9wf3NHzpmXj9PZ1XO309l3X9P9excok6duzpeP63j2bsdOrtx1ogep8hdmr0XVCdf76CYsxMa9HVv3VZzqd5sEHH+Ts2bMdt3EcB+cmymLvNmGthl+YI7l2Hd7s3Ao3HRFLZ9WE2f4CT6uFlBYL8CCsgZGMBBJAGAJUYzspCNwqQkhAd/QdGT9zlVyXTaYnjetHlSGNvWFYJrVqQL7HRghBKmNSLi73EVmabmPYxmKpohcShgpqPvWSS6o7jYnGrdaRjtX0XLBTDtmhHsqjs+RsG21IqHmMnxtldmSGbE8WISWBF8klvUM9FGeKXD0zQtdAF6PnR9n95N62r5lpmaRzaWYnlvfOxtwaVtt389XQvWWI9GA3lWs+R3Y6yYbH9zZbzRZwsil2vP8NvPLHn1s2g73m8C7GXzxDcXiCgcf2852PfpXZq1ESUn5NN0/9z+9lYNtaTPvmftqFECQGBqhcudK8wTQSCfJ79lC+fInK8GWSQ2txBtZQn4zKp93JMdKbN1M6e2bZeMl166gMD5PZvJnq2Biq3uqHYiSTOD29zL74HNK2SW/cjJ3viiMO7yHuxHczqFYpnT/b9CdIb9qM0z9IfeqaljEhSG/cTPnKpZbFqfUbKZ1pPffn9+xptsFI2ya7bRulc8t9SfK7dy9LT7seiXyabe9+nNMf/8aydRvfdAjrDpsw1is1Lr94nu/+yVdwC1H72to9G3nqH7yH/JrOYmTM6uZOnjdN04S+Ptzx0WXio7QdEv2DqzbYQEpJ354tjD17MvLiWoKTTzPw4PaVwwjuccIgZOrCOF//vc8yNxpV0Xev7eWpn38v/VuHMK4Tcx8T83pi9X7TG9TrdU6ePMnQ0NDdPpRbhjs5DlJi57oI6zVkB5FjAb1Qei5k5AXSdptI6Ii2swEBobvoCbAQaas0WmvCSjWqTIG25ZK1okutUMWvB5hmFPerA90cyzANXDdquVFKk8528CGRsimISNPEr0WCSK3iYkqJV3RJ9WQxkg7UPFTdx3BaXw/DMfHDEKMhfKQSNheeO4M3XyalYOb4FfxGpG8yncRJOpRmS+QHupm4OB6V9ncg251ldvLmBZHZyTm+8Fdf5WP/7dO88N1XCONS6tctia4MD/3dH2Lbux4h0Z3FzqbY+IYHeeQffYhUT3vDttyGAQ7//I/Qs2sjVjpBek0v29/7BOnBHkaeOcbQkwf53L/7WFMMASiMz/Gpf/3nFF+1gKfJ79lNesMGpOOQe+ABCqdONH0d3LFRhDBIb9yCkUqjvDpahXTvP4jd1YWwLMxMlvzuvZjJNPXpaYrnz9P70EOkN0ZjGokEmc2b6Tl4kMLpEwBRdPe5MyjfW+HYYu43Atdl/vjRFrPGyuVL2Pkc2R07MVNphGVh9/TSc+AwSANpGAjTwu7uofvBg0jDBMOIqpF6e+l79NGW5BhpmqTWraPn4EGsXA5pWdjd3fQ9/DBOb2+LmfGNoBXY2RT7f+695DcPYaUSZNf1s+cn3k5+y9CKhZy3g7HTV/nKf/5UUwwBGD1xhU/8+p9Rmrm//Jhi7h5aQ9fe/STXrUfaDtK2Sa5dR/eDB9A3+R261xBSsO9n38X6J/bj5NLYuTTrHt/Hg3/rPQvzhauW4uQ8n/j1P22KIQBzozN84tf/jOLE/N07sJiYe5BVNx33K7/yK7z//e9n48aNTE5O8q//9b+mWCzycz/3c3f70G4JWmtqkxPY+a5Gb7SPtG+sQkQaRscLvKgdpqEGCwHYoL1IFDESzZYWrRQ6CNEqxLBThL4feW+0DAZjZ65iGAKFRAiQElSj5cZopNyEIXj1EAtBJmvR1iZSCrTXOH7bJHSjm6JapUbacTAck1R3Fho94lIKXLcObh1pGNgphyAIqQUBOdNAEdXApA0DwzQxLIPQC1DzdbpTSaQh6V/fx9WzI5SKZTzXozA1T9dg+6jSbD7D3E0KIp/+sy/y0d/6C0KlcBI2bqXG0IZBfv6ff4QDj7avRom5v0l0Zdj61CHWP/wAmqj0fqXZGcOyyA71sfvDb8Wv1pg7P8LV772CO12gZ8cGzj97pln1tBQVKl741NO8+e+9G8u58XYAHYZUR67ijo1id/eQf2AXOgxQXqtIUTp/DiOZJL1hI05Pb9R2YJqYu/ehwzBKubIsQs+j75FHQAjMZJLs9h2kN25EhyG1qSlmX3xu2TGUL14gv3cfxnUq4mLuD4JqlbC2vL2jdO4sVlcXuV0PoMOQwHWZfeUljGSKrt27EdJAGEazmqj38OGotdQ021YYGbaN0d+Plc9H2zUElFeDV65y7L9/gWRPns1vewgrnSKo1Rn+9ksUr0xw5B/92B2rEqkWKnz/v3+t7brKbImpC2Nke+OEjJjXRuj7uCPDuONjZHfsIrk3Mpj3KxVmnn+GxMAg6S3bMK9znXovooKQq987yuizJ9nwhv088OG3AjB3foTn/svHGTq8k+3vfWJVVi6GQcArn3+ureeYCkJe+fyzPPlzb29JZYyJeT2z6r4JV69e5ad+6qeYnp6mv7+fxx57jKeffppNmzbd7UO7JXjzcyjfw+7qbpaZXzdyNwxAtE+YaaIabTELNEURH8IasrFOhSHKdRdvbFhudFeaKlCdLePYBtK00BpMqdFhJJwY1uKNnuuGOAmTdK5zhciCmathGdQLPhrN/OgMlpSkerJorajMl0lqjZSC8lwF2fAeQYEwZdRZICWGbUCocEyDglujf2M/yVyS6XOjDGQzKNeja6CLkXOjjF2awAKmrkx1FkS6M4xe7Oywfi0f/38/w0f/41/y+Nsf5q0feBNOwmb08jhf+tjX+Fe/8P/wM7/4YX70f3r/Tc9Mxqx+hJQ37VZvOjZBzeP8577XvLBxevJM/mB5C8ACE+dG8V3vpgQRpUL8RlKBNzeLmckuK49eIHRdimdO0//o480LRWmasOT3x7BtWHKBLA0DmUxROHWC2tRk23H9cmll876Y+4qg1LmCwZ+fjypIjh1tLlOeF0W0XxPxadzgjdiNbrcSQS06hurUHCf+4ivL1nvFCun+9ueSW03oBS0zv9cyenKYrQ/vuiPHEnP/okMfvxz5U5XOnl623i+XIAyA1SeIhJ4fJbopxfC3XmL4Wy+1rC9emSCo+9irUBDxXI+JsyMd14+fGcF3vVgQiYlpsOq+CX/xF39xtw/htlKbmkA6CYxEEq9Rqn69GdMFo7mVZr2UViyr/1vwFNEBhhmSW5dH+QFhzUXadsNDhJaoTa1g7PQITsqGIMRM2CilMWRkwAoCY8nJo1YN0N0OliVxEgb12jVmrlIsVrhYJioIOfWtY/iuh9ZQGI0MTRUaJ5vENCTd63oQQqC1xq/5lGeK2IZBiIaajzIlUghs02T60gTr923CNwSEIXKigLOpn0xXhtJciWxPjqmrU+x4eGfb1y2TzzA3Nb/i67/A0WdP8Ce//T9483uf4O0/8pbm8nWbh/i5X/ppvv7pb/Hf//NfUSqU+Tu/9FOxKBJzQwhDYufSzbjPwK2R6e1s3pjpzUbC4M3sQxpRolWljEwksbJZzHSa+vQUyl/u/SNte2WjZ6JEDilbf3OMVGeDusj3If5OvF4wkp0rKYRhLBfHDANhGs20sLuBcR1vHvMOeogIQ5LIJqmV2puodg3FHiIxtwBhYDgOQbmEME3sfBcAXrGA9n0M20HI1elFIU0DpytNeWy67XqnK4OxSgUD0zLJ9OWYvtS2Nptsf+6mvcZiYu5nVnmH3P2FCgLqszPY+S6EEKhaLUpdkCu/TaoelbV3MlSFBVPVNiuEAGkRKhkl1PhVhCGiqhQRVW7ocNFjY3Z4Et+tYzkWVtIGIQiVwDQ0iCgdZumPbBBo/HoUXZZpVyUiJaioumQhJUM0KkaUiIQQhEAiUFojhWjeMgkhsJM2fqjAlPhegNaghUBIgSEkFjB9ZRKlFCXfQ/shYbFKz1A3WkPN9Zgebj9jDZDpylCr1qhV28+WL+DVPf7zr/0Bm3du4K0ffHObpyl42wffzPt+6p188k8+z5/9l4+tOF5MzAJOJsXGNx1q/j176jK737Sv4/YP/fATODd5YyYNg/S6DXTtP0hu23bqU1N4szPkdu4kt33nMlPl9IaNHZMF/EqF8vBVZp57kZmXj1Kfm29WmyT6BugkeqQ2bGqaYcbc/1jZfMcbqcTAIO7kxJK/B+g9cBB3bJTCqRO442MdK5huJ1Y6SdfWdW3XJXvz2Jk7l0iR6kpz6AOPtV0nTYMN+zunZ8TE3Cim45Bau57Mlm3ktu1AGAZCSrJbt5Pdtp3U+g2r9nfbsC02vuFgx/Ub3ngQ4zoV2vcqVsLm0Pvb/z4AHPrA41iJ1VfVExNzu4gFkXuI+swUaN1U4MN67YZ6nRf6/KXRwT9ER0kxK86qSYPyZAmlIpMpVICqVZG2iQp9tFYEXsDkuTEy/TnCmofZ+DENVSROJDMNZ/9rHMfrboBWmkxu+XNZMIGduTpFaaq4cMCRf0qosByLVE8GO5NANUQdES7OHIaBIgxDrISFZUgUGhUoLCkRSRtDSsKCi1/10VIgUzb+bJlMLo2QUK97zI3NdTQ9zeajFoe5qULn1w74zJ9/ianxGd7/M+/uHDEMPPbWI7zzR5/ir/7gk3y5TVJBTEw7enduZOiRPUBU5lu5PMaTP/sU0lj8CRdC8OhPvJm+zYOvah/StqkOX2H++FFqUxPUJiconj5FfX6O/M7F0vvEwACJ/v5l1R8AfrnC5PeeYeb5l6iOjlG+eJnxb36H8uVhgloNw3Ho2rNvmcibXLMWp6f3VR13zOpEWBb5PfuWtXraPb1Y+S7q09GsrdPbi9PTy9wrL1G9Okx9eori2dPMvvQ8QbXabujbhpV02PXDbyJ9TYKL05Vh38+8Cyd75wQRKSW73vggO57c03qMCZsf+mc/QSb2D4m5RUjbxisWKJw+SW1ygtrUJMXTJ6nPzCyPY19lpPq72PbeJ1oDCaRg67seIz2wuqusetb38Yafe3vLcxNS8OTffjvd6ztHKcfEvB6J66XuIWpTk5jpTFMECd3aimXFAGjalrS3bLKgH6wgiCzcnmjPR5sGppNAqyCq1gg8/LlZ6rWQdHeSTG+O2UKlqS4rDUppMl1J3FJ92diuG5IFcl3LZxFE48aoNDlPui+HLrvoUKNCjWEZJHIpBGBbBrqmUEoTVmqIXAohBP5CdUwYtexIy4paY6TENAUimcGbLZPQikBIZCaBmiyiqx7ZnhzufAWtNXPjc/S1OUFkujIAzE/NM7Sp/Y2mW63x8T/6DA+94QD9Q9c/ybzhXY8xNz3P7/2bP2L91rXsPti+XScmZgE7k2Tr2x5m/WP7KE/MYtoWid4uNj+8i9nhabRS9G4aIJlLYSdf3WydXyrizc0uXz4/S3JggNwDuzEsG29ujvKVYfLbt0etDQ1C36dw5ixBpbJsjPmTp0muGcRMJLC7u+h76BGCagUdhtFvnm1dN00r5v5CBz7lS+fJbd/ZMPMOsHJ56oV5dKjIP7AHFfg43T3MvvT8sscr36d47gxdu/e+apPUV0OiK8v+v/Ve6sUK7mwRJ58m0ZW9aX+gW0GqK80bP/JOjnzoSWauTOGkE3QN9ZDqzsSRmjG3DL9SwptZ3lbizc/hFQrLfH1WE2bCYejwLnp3bqQyEZ3/0oM9WJkk5iqtDlnASSfY/dQBNh3ezuzwFFprejcOkMqn4+qQmJhriAWRe4SwXsMvFUmtXQ9EVR3Kr2PlV57lUUGAbucPsoSmR8cKlQtIEbW8aIVpJhBSIqSN79YxHAulBVp5rNncg1Iavy/drBABQeAr0t1JpkYWjfJ0GLXK1EJBGITYjoVlS3xvscJDNao9kpkkmd4spZKLEJoQjZOyF4vrF9poiLJy3JJLIpfCrwdYhgF+gHQshCUJqyEWoCoeVo+D3ZOmPlMmZ1hR65BtEsxXyfdkKUzNY0vJyR+c5I3r37jsZck2BJGVfES+/PGvU624vOk9T3R+fZcghOB9P/lOpkan+bf/5D/xH/7yX9PVk7/+A2Ne15hJBzPpkOrralme72AIfDOEXh13fLTjend8DDObo3D8RFRtZhhkN23CWCKIKM+jcrXzGNXRcex8DiENjISx6mcWY14b3vwcQblM4dQJhGFidXejlaZ46hQQmYQbyWQkmuv20eh+YR4V+HdUEIEoetfOpsiu67+j+21HIpMkkUnSvS6e8Y259QS1Gu7YWMf1tfExrFweawV/qHsdw7ZI9lgke+6/qiorYZNP2LfkOiEm5n4mbpm5R6hNT4GQWLnoB/lGjFIBAjcqGRYr+Iw0U2JWqBARyKb3h1i6TwFomLoyy/xkhUCZ+LWArqEcqbRoVr7X3JBkxsG0JcrzCUpVwoqLqtZQFRd3PqocafER0VBstKKkuzJU5yuRT4ghCcKwGd8bvSAqiuiVEtuU1Iouvuvj1z0cywRDIiwD0fAa0VojgepsEWmZVHwPhcabLIIUKNcjk0k1PFQEF16+gFbLL7ot2yKRSjA/3b5lJgwVn/7TL/Lgw3vo6r1xUcMwDX78H/wInufz2//y96O2ppiYu4TWUYtax/VhGImSWjf/XvaZ1XrFlBgVrFzJFvP6Qofhkv8fgNKopcuCIPoXtm9nXNww/u2MibldaKXQqvN3MPp+xt/BmJiY1U0siNwDaK2pTU1iZbNNk7kFwzhpr1z+HrouIK8jiEQnKyEFGkXo1wndSvSvXkPr6GRnWgYgWsYSQuC5dTy3Rn6wC4SgOFGiNOuiNSSTUdpmtVhDa02uK4mq1cEQiISNTDnIhEO16qGVJpeRzRupaqGM50YtL2EQUJwsoNEYZrT/pbPPqMhcNWwck5Mwqc6WEAtRv47VrCbxQ4XWGscyCWoBtUKFUGs8NEEYElQ9NKDLNVKZJMKQ+K7HhWMXm7srzpf51me/x1/+l79BqZBXnj5Gvba8Hej5b7/E1PgMj731yIrvUzuyXRl+5OfexwvffZkv/803bvrxMTG3CmnZK3p42N3dePPzzb+d3l60UgTVSvMmVpgmTm/nnuvU0Jpbdrwxqx873zpj6c3P4XR1tSwLazXMdOdWFCORXDluPiYm5jUhbBunp3P1kd3T29FgOyYmJma1EAsi9wBBtULoVptmqhBdCArDXFHoAAjdKggWI3LbbrSg3mvCchnlug3VX6G8OkG5ROjXMSyJviYBQmsI6j7pfAYraRP6QRSnaZh4HoQhJBKCVMbCq/qku5PIhIN07MhfQEgwJHUvmmnI96XwZ4uoIKQ0VSCRjgSf0kwJiKIEhY7EkNAP8Wp+JJpojSZqmdFAMpUAAZYUUXXIknYgpRRKR11AdtrBK9eRRM772jKoBz4aCOYq9KTT+J6PaUqe/fLzaK15+XvH+J1/+Qd874vPUC5WUEpz8oUz/MqP/QvOHb/Q8vp86eNfZ93mIdZvWbvi+9SJXfu3c/jJA/zRv/8zZifnXtUYMTGvFSkliYGBKE732nW2jZXN483NLWxMeuNGpp99lqkfPENlODJMNRMJuvftaZuK5fT2YKaSt/tpxKwiDMfBXirCqRClQhIDA4vLtMabm8Ppa9+akt2+A+M6kwYxMTGvHtM0SfT1t52ck5ZNcnBN6+RVTExMzCokFkTuAerTUwjDwMxkm8tC1217c7IU5QeoIIgUghX8QbRWGIZA1VwQIJNJjEQi+pdMIk2rue7a6mO/5iGlINMftfL4jYoOaUUnQN8Ht+yRH8iggVQugTCXf6w0UK8FWI6JZUB1uoDSmmQ+jQaEUggaFfcaDASV+QpuoYpXjqplapU61UKVIFSIMEQCSrfGCatGdUgYWaJgWQZmwsQxTIQGJ5NAGAZ1348qTULNQCaDLQ2mhqf46l9/k0999PNs3rGeD/399/O2D72J9dvWsmb9AIlUgv/75/8dp18+C8Ds1DwvfPcVDj95YMX36Xq8+8feimEY/OG/+++vaZyYmNeCmUzR/eBBEmuGEKaJME2Sa9bStWcfpfPnEYaB099Pz4EDlC9eRPs+OggonT2LOzqKCkOsTJqhNz1JcnAAYUQ+Ifndu+h76CDmKu4xj7n1SNsmt30n2a3boxlmKdFhSHLNGrLbtjX9Q7z5AukNG8lu24GRSIKUWPk8PQcON1tMY2Jibh8a6Nq3n+TCucEwSQyuoevB/XGzTExMzH1BXGt6l9FaU5uexMrlW2Jxw7qLmVzZtX7BPwStVvQHUWGAnbERUiKdRMt+hBBg2witonGWKCLV+TKBF5BIOdDw8wjqHoa1ULmicecrhG6doJ4k25tGh4pk2qZa9pYdR6XokUjb9GzoonZqklQmQa3sglJIKVG+jx+EJC0DYUgSGQeBRGoFocJIWEilCEKF03DQD5VGeyGGpRCGRDXag7QQCCEwAoWVtKm7HoYf+R7YuSS1RrqMkbapF6p0pZI4tsXx7xxjz0O7eOhNB5qvaTKTZHpslr/7L/4Wf/6fPsa/+99/h9/803/Jt7/4faQhefCRPcue682QTCd554++lY//0ad593MnefDI7tc0XkzMq8VMpchu2UZ6/UYg8jAShkHPgQOoIKAyPMzcK68s83UoX7pEYnAQK53G7srTezjaHohE1+tUusW8PjEch+TadY0KEE1QdZl57jmsXI70xo1I0yQol5l57nnMXI6uvQ9GVYTSuONGqjExr0dUGFK9coXKyAjZrVvp2vMgAPX5eaae/gHJoSHyO3ci49a1mJiYVUx8lXqX8YsFlOe1tMuoMET7/g34h1Sji0KtkbJ9yaLWGl2PvC/ENWLINRs2vEaiVprQ9ylNzSNNs0Vr8V0PwzbRSlGdLRHWPIyUQ2m2SrXgghRke9r3k1arPmjoGcqgtMYCqsWGqCPATtg4qagqxrQMpJQICaIh0himgWGbhDpKzBEimrnQQL1SJ/BCVBgipUALERmraiBU+EEAWuPOlZkZn6Vaq+OHirBSpxT4lOsetpRs7etl09rBFoEpmU5QLVYwTZMP/88fQErB7/3aH/G1T32HB/Zvj9p3XiMHHtvH+i1r+aP/35+iVjCmjIm53UjTxEwmMZPJxvdfYCQS+OUS1atX25pc6jBENwQQiG50rXQaK52OxZCYFRFCYDgOhpPAK0Tm1X6xSPH0aeaPH6d8+TLK9/FmZtBhiOEkYjEkJuYOoXw/+l4qRencOaafeYbpZ56hdOYMKIU/P9/y2x8TExOzGomvVO8ytelJpGVjLMlxD2suwMotMxrC6pK2mg4tM2HNQ4chQT1EdhBDdKNPRemozSSoVpkbnUUaBnbSjnamQfkhKgiRlok7U0J5IXYmhVLR44pTZVSoSHclkcbyfakQAj8k250g0NGHz2kk20gEZsJqepiYS56P0FHFB4AOFKEfRNUdhkQaEtmoFglqHsoLcUwTs+GbYkpBUgnWdufJJRNkbJt8KkkyncDXCkNKLA1132e6UqEehEy+dInxFy82zWiT6SRKaapll1Qmxft+9p0ce/YkIxdG2f/Yvs7v0U0gpeBdH34rF05d5ntffuaWjBkTcytZ6tVg5XI4fX0tbTAi7iOPeY0sjWK2u7pw+vowkg3vGSnjz1hMzB1GGEbzOlMYBk5vL05vb9PM2HCctr5RMTExMauJuMbtLqKVoj4zjd3d09ouU3MBgWF3ngVTvocKAwwzEy1oY6qqtcYvltBSrpSGGTmjItBKowTgeeggJN2XWxy3Ya4K4JVdUBo7l8IwJW7VbRZUlGZd8v1pBjd1MXZhuUlopVinqz+NlTTwKgGphEWtFiAMgUYQhgEGIJdE7gqtUUKgQ4X2AzAkSoNtGnhhtK0EDMCQEoVGa4UiauvxA4Xr+yRsC9sySdgWvlLUhEL7moRlUdU+UmmKoY8KgfPj1EsuG57YRTITXaSXC2XSuRTb926hZ7CL2Yl5tuzcuMILe3Ns3rmRnfu28We/+zEef/sjrbHDMTF3AeX7hF6d2sQEVlc3icEBUmvX4ZeKhF6dRH8vhp3AnZ5uztqH9TpBpUxtZhrDskn0DyAdp1lSrcIA5Xl487OoMMTJd2EkkkhrZc+kmPsfO5cjuWYNybVD+IUCyvdIDPQjTROvUMCvlqmMDON0dWPlchhxukVMzG3FsCwymzZhd+UxMxm8+TnQmtT6dYRVFzOTwbiO311MTEzMvU4siNxF6nNRCfC18YOh60Y3Byv4ggTVSDRZiOkVbSpEgooblbdLY6WhQIUIKRBSEHoBWJJMVxLDMiNfkWgj6hU3KkTRGjufat6wB16I2RjfrwWoQJHKOmS6EpTna0v2o5gZK5LvS7Fhex/nj00h0JhmJHBAFBGsNRhGFLG74NilAeX5zVnCIFQ4loEbhBi6IYRojRcGKK3RCmwNpiGRQhCqKHbXUyFSaRzDIIOBbygsQ2JKiRBQdWuEdZ/c9rVUp0tc/uYJBg5vAaA8X2ZwwwBag+tGbUhHf3CCh586vMKLe3O89YNv4vf+P3/Ed770NG9+zxO3bNyYmJtFBT7u+BjFc5GJsFOtkFq3nsLJY02voTqRz0jXgwcwHIewXmPu2CuE1WpznMrwZbLbd5DoH4weMzuJOz7aXO/NTmEkU2Q3b49Fkdc7hkFisJ/CiWOLyyYnkE6C7n37mTv6MsqrUxsfQ9oO3fsPYibj9KKYmNuJkUwSToxRvXqluaw2MY7T20dicPAuHllMTEzMrSGegr6L1KYmMZLJqORwCaHrIp2VbwwCtxKp8g3B4tp4Xq01QaWKtK3Ic7VDS43WUTUFQqJDjQoVoQIpdItZqwpCgmoNhMTJpZtiSBioVs8LKfBcHxWE9K3LYSxJnKm7deoVDxUqBjZ0IQ2BHyosUzbDfsNQRckxjb8X/ENCPwAhEaaBAPxQYRoSW0TVISEQCI1SGoEAKQi1Rjb+m7AWS61DKaj4AfUgxJKStGOj0BhCMrimFwRcOD1MPSmpF6tMvnARKSWlQgWAseFx5ucKDK4f4OkvPUsYLPdUeLWs2zzEjn1b+es//BT62sifmJg7SFivN8UQgOTgGoqnTyyLolK+T+nsGULPozJ8pUUMWaB07izK81C+1yKGNPflVqnNTMef+dc7YUjxzOlli1W9RvnieTJbtiwu8+qUzp9tmvfGxMTcHoJKmfr01LLl9Zlp/FLxLhxRTExMzK0lFkTuEsr38ObnWsxUIRIowlptZUNVvSCaOJH/hxDLBI+wVo8M6JIJNBrR4a1eMEjUgO/5CARWMhEJIYHf3M6dLaIVmEm7xR8k8JdfjHr1ACGiIXrXZpv7CevRvupVn2TWBqXxvWiZEZWeoFQUm9vMcltIvtEgrAXhJBI+FnxEAkAR/Y/W0WuI0qjmzZXGWtJ7LgBhSrxQUfU8pBCsyWWQAvyiSyaXxrYsrlweZ7JawZ2vsKm3h9JcCYBjz57ESTg89OYDlObLnHh++QX8a+FN73mC4fMjPP+dl2/puDExN0NtcrL5/4VhQKjaGqoC+KViJHZMjHccz6+Uqc/NdFxfn5lEL/nNiXn94RcLy7PfG9RnZzBTrclr3twsyo8/MzExt4uwXscdWy5iL+COjRDUah3Xx8TExKwGYkHkLlFrqO1WrqtleeQfopdVjbRsU6+hlYr6p0PV1tBqoTpEmiY6VJ3faRVVXlQKi2kvQoCQJjoMUWGj+kMINCzzNfHr/qLXRaOaxPNClIJaxSfbnSSZsXBL0fMShqQ0X0MIQd/aLFqAarTIQFRxosViZQiBiq6PLSOq/NAaEWqkiCJ3jSXizMLsstKN59BImlm4vDZC3TRKFQCGIFSKWuOCui+bjtJtvBChNZu3r6ceBIzOz5MyTMoXp9Aajj53ik3b19M90M3azWt45qvP39KZ7U07NrBh6zr+5o8/e8vGjIm5WZbeaAppoNR1ZuKVZkWzIqVWTCPQKux0LxzzOuG61R7tPiA6TuWKibldaK1W/F7qIGRxBismJiZmdRILIncBrTXu5DhWJrssuz3yBmFFQSSoVhFSIm27ETPb+jaGno/yfIyFthulO5quaqXwawGECnNB7NA0RRa/XEVrMG0TKeWy9JjACzAa1RfNNRr8eoBpCupVn9612WidFBiWQXHWRWvN2q3dSEMSNC5yTa1RKmzWs6ggEiYUNL1LREPQqPsBgdJYS4xHm4IIOnqAisQUQ4pmi40OQlRjjDAM8QKFUuA3lvemkti2Scq2qZVr7Dq0g0x/nulKBVH2eO6zP2Bueo7NuzYBsPPgDiaGJxm5ONbx/bpZhBA88Y5HOP78KS6cunTLxo1ZXWitCb06gesS1mqNNKg7R6Kvv/n/le9hrmBgKS0LYZpY2VzHbYxkEruru+N6K5uLU0Re59i5fMd1RjIF0iC/ey/ZHTsxM1mkk0AYsRVaTMztQlg2Tk9vx/V2Tw/CjGOwY2JiVjexIHIXCCplwmq17c1B6FYR1zVUrS7G7apwmdgRVl2EIZENgUMr1dZDZKH83fN8nEwS0RAXFmoqwkBj2QspMyHSar1ZWfAPaVZpLNmHVwuwHIPZiQK2Y9G3oRvDNACBbggm+b4UwpBookoOq2kc0qgWqftRVLAUUVXIgpDROMJQKQwpmrvVKlpuSBml9jSMVg0pCZRCAKZhQBBVvgRBGHmMNKpJqp5PqBTdySSWaRAUI+Fm/da1GBmHUq3G1MuX6U5lGFo/AMDazWvI5DO88M2XOr5fr4bdh3bR1ZvnU3/6hVs6bszqQPk+telJ5o6+xOxLzzHz8vOUL18g9Op37BjMdBozk23+XZ+bxekfaLttZut2jESC7LbtLJFGF8fKZDESCYxkqn0yiBAk16xDxoLI6xphWx1Fs8zmLRTPnaZ49hTVkWGSa9bQtXvPipMHMTExrw3DMEgMDLQ1vBamRXJwCMOMRcmYmJjVTSyI3AVqkxMI02q52VggdCsrRglqpSKPkcY2OgxbDFVVGHmQRNUhDccNpZfpK0pp/GoNFWqcVAJpLCbRaKXx3DqBF7TEAV8riCzE8C4OvkQQqQeR54ghKUyVGdjUjZVYnEWoFGoYlkE6Fz2PMNRIIUjaZnM4Q0djL1SFKCHQUqAVSASBimbRLUOiGyKJAOSCQiJoCCICQwgU0fEgJIQKA4E0jEbbjsaUkrLroQX0ZlJYUjJzYQKNJp1LMVdz8cOQbT19fONvvk1proQQgu37tnDyhTO4lVvXR2sYkkefeojvfPEHzM8Ubtm4Mfc+WmvqczOUzp1BeV60UKko8eXs6cVltxnDcejZv5/0xk0I06QyPIzT20dm23Zk4ybUTGfo2rcfpyeKDjdTaXoOHsZqeCMJ0yS9YRNde/Zh2A6GZZPZshOnb7CZkGVl8uS278aw4wjV1ztmIkl2x07SmzY3b8CsbI78nn3UZqYJq5GxtfI8ypcuELhubMQbE3O7kZLcrt0k+gei6ychcPr6yT+wu23LdkxMTMxqI5Z17zA6DKlNT2J397SIDbAodjh9y4WSBUK34TGSiG4eVKgwLNmyXivdFEwgusFaui+lNKWpAumcjdYC2bgxWUyUCfDdOlbSoZHZgjQMjGv0M7/uY5oGC0rE0mejQ0295pHOJ5m4NEemJ8Xgpm5Gzk6jlWJ2vEz3YJaNO3o59Xxk2BUqRSbpUA2i1oCooiQaXi+pPlFaNXcWKo1lCCpuEJmlGtek7QBSRM8hDBW2YWAYAt/XUQvNwphEiTRCQKXukbFtejIpZspVKlNFLMcmDBVX5mbY3j9Ith7yxT/7KgffuJ8tezbz8vePcfzZkxx5y6GO793NcvgNB/jap77Nlz7+dX787//wLRs35t5GeXXKVy61XecXC4S+t1ghdpsxnATZLVtJr1sffZcMA2GaJHr7AY0QsuVYhGFgZbN07d4bVaAJEbXTLLloNmyb1Jp1JPoGozEMAxm3PcQ0MBNJkus2RDdfAFozf/JYWyGwcuUidr4rrhKJiblNaKVwJ8Zwx0ZxevrI73oAgHphjsKZkyQH1pDZuDlud4yJiVnVxNLuHaY2PYUOQ5yunmXrgsbs10oVIn6lgjTNxg2EBhW2iABRQo3VbJGJElcWjVeVUhSnCggaVSNLblQWJAff9TAsE8M2GyJJZF7a4h+io1QawzKbRndL9R2/5lOreCTSUSrN/ESJXF+aVC6BDhVezScMFL1DmaZhqxeEWKbRrAgxRGSiqq9t91HRjRjQ9BEJOxjrLfiFCCnQRMkzlpAopVHoyLxVLfiULAhCimoQYEhJdypJYWQW2VBOlABnMEeXk2DjugGe//qLvPCNlxjauIaXvnu04/v2akilk+x/dC9f+KuvtU3zibk/0WGIXiE5I6hU7uDRRJHeRiKBmUhE4oYQGI6D4SQ6CjPSsqIWGcdZFgneHNO2MWwnFkNilmEYBmYyhZlM4ZdKHauilO93TD6KiYl57egwxJ+fB6WoT09GbWvnTlOfmgSl8Arzd9zfKiYmJuZWEwsidxCtNe74aGQG1+ZGIqhWoxnXNr2a0QAQVqtL2mWik9DCDUfoBZGZ6pKx9WJITFMMUUFIMpegEUC7OH5DEBBE8boAWgjQIK+pvPC9AA2YlhGJDnrx8b7rodF4bnQTn8olqBRq1Coeg1u6mxUrtbKHk7ax7GhmIQw1oVIkbWOhtCPa/xKUjoSMBfEiUFFlh924qVrWGtR43Q0ZlXkGWmEIQdIyMYURteRojVKL7TVKa0IvoBoEWKZBdzpJZaIAQpDNZTC7UxgZh25hse/hB5i4MklhusDk1SnGhyfav3evkkefeojZqTme+cYLt3TcmHuY65QgSys2sIt5/SCd61RDtfHHiomJuUVIuXjOkRIrm4vMsxvnKWlZK3rexcTExKwGYkHkDuKXigTVCk53e8fuoFKJxI4O5xble6jAb5YHN2fGFgQR122kzyy5YVLRNhooTsyjAkWqK40UoK/ZUej5oDWGZTZbbHQYCSnXnu/8mocUEmkaLbMDQc1D60ikCIMowSadjwSc2fEiTtKid20eYUjmpysIIVi3LTLRM6UkCBSWGfl6CNqEuS30izc+ub4forQmYRkdX7dQRULHwusQat1M5jEQSCERWqGI2mhCFSIci9APqdQ8HMMgbZpkbZtkMoEQAmcoDxqSbshDTx3ENE1MafDtz3yv/UG8SoY2DLJp+3o++xdfvqXjxty7SMvC7uDqLwwDM5W6ZfsKvTpeYZ7SxfNUrl4hcKv45RLl4cuUhy/jV8qES6pVFtr63IkxSpcuUJ+ZJqzfOu+cmJjQ8wiqFSojVyldPA9Kk9uxq22ShdPT13kCISYm5jUjDYPU2vWk1m0gv+MBzEwWM50ht30X6fUbSa1bvywtMSYmJma1EQsid5Dq2AjSdjAzmWXrtNaE1QpGsnO7TNRSI5b4h0QVGEIa0eNrtWg2bYl6sSBWVGbLKKVJdaUxDMlilkyEUoqgFkSzbUv9RsKQ0I/GWPph8eo+5oLJql5IpYmia4UUkaCioeb6OCkbIQV+LaA0U2VgSw+GJakUa2itGdyQb1SNLAoclmm0FURUqJHNyhZNqEKCQGF3EES01oRaNQURpTV+GGJKGZmuNrYzhIzMWoXEEBJpCaRjEWqF6wdkHJuuVBLZ0KCEaWAP5QnmXQw34PBTB0mkE1w8dpkXv/1Kx/fw1fDoW49w/IVTXD43fEvHjbk3kYZJdvPWKGZ0CUJK8rv3Ie1b45cQ1uvMnzjG3CsvUb06DAgqw1eYO/oS1atXqF69wtwrL1K5cpHQj4ROv1xi5uXnKV04hzs2QuHMSeaOvUzgurfkmGJe34Seh18qMvvyC1SuXMQdH6Vw+gSV4SvkduxqqZ4yUikym7fEyUQxMbcZ6Tgoz6Nw+gTu2Aju+CjFMycJai5GInm3Dy8mJibmNRMLIneIsFbDm53B6eldZqYKC2ao4YonF79cwUg4NNNjgsi0UEgIax46VMtacUKvUSGiNOmudMOoVDXGWHz7g2o9EjKirZvLVRAQNnw4pBH9N/DCKG7XMVuqQ1QYtcJIo9FGI8FzfaSEZMZBK83cWBGAwU096EBRr/ikcw6m0zBQlQI/VJiGaFsJHUUINypigui5BUphmbJZ9XHNIwjVYouNVppAhSg09kLCDIvCiNYa2zQIvRBhSYRl4PkBru+TTyZwAk3gRv3sZjaBmU/iXp5Bhop9j+9BacWX/+JrPPOV59u/ia+CPYd2ke3K8Lm/+MotGzPm3sZwEnTt2UfX3v1kNm0ht3M3PQcewspk2/5+3CxaKdyxEYJSCQBpO0jLoj4ztWzb2uQEQbmM8uoUTh2PPImWoDyP0vkzqBV8T2JibgQdBhTPnlq2PKy51CbH6dq9j8ymLXTt3U/X7gdX9NuKiYm5NYTVKrWp5e3A9ekpgnL5LhxRTExMzK0lFkTuENXRqwjDwO7qbrs+KJdAyI4XeDpUhDUX6SSXLAsQUiKEIKhWkaaBNBdny0I/oDQVRbamutKNdRoZ2Ykublf30Eovmqgu6CFaE/ohQkRjGo2SDb9WRwqxmDCzsDk62odSke+IEIShxquFpLI2WilUqJgbK9I1mCWVTzA/XQEpWLO5CyGiyhI/jAY1TdlSIaKJ0mCEEGilG54fBl6gojYWs81MoY6MVYUQSCFQWiGFJAgjLxHZKDZpCiON+F3hK1Aaw7aohyF1LyAIFT2pJKXLU03/FnswhzAklfNTZHJpst0Zktkk3/ibb/P9LzzT9r28WQzT4OE3H+brn/k2pUJ88fF6wbAd7Fye1Nr1JHr7MBKJWyKGQGRGWR0bbf7t9PVRm57suH11fJTArXU0sPRLRVQQCyIxrw2/VFxsi7yG+sw00rRIrV2Pncu3eGXFxMTcHkKvjjs+2nG9Oz5KELdNxsTErHJiQeQOEHoe7uQ4Tk9f28QFAK9ciqpDOtzv+I1kCXNJS40OAoRhoIIQVfeQS6IHQy9g5spUwzdVLAoleuE/jRYSpQjqAdIyEUbUjKKVQnkBgetFrSRhiNaNTppaDUMrUgkTXauD52FbBpZlkHBMTNmoPVlIpFGKWqVOMu1gSIkQUJ51qVXqDO3op1KITqTrtvdGR7RglhooDEO2fEAXqlGEhDAMkUQCitIKPwixTYkKFCpQhI1/WtP4p5GARIKGIFSEWmPLyANFL7T96EXxBDeAQKHR1IKAiuejtCZv2ZSvzkbHYkicoTxhqUZ9vMi6resoF8vsPLSdb3/6ezz9pWdX+mjcMA+/6RBhqPjyx79xS8aLeZ2jNTpYTC6ShoEOV0gyUgodXkfwUO1vZGNibpTrVRnpDmliMTExtwetdLM9ux0qCDqKmDExMTGrhVgQuQNUR4YRQuJ0MEpUYUhYqWAkO7fLBJUShm0j5GIVhA5DhDQIqy5Cima7TFgPmB6OSt8TaafFhV8QsjRdJmqVAYEirHmoUEXVKJ4fCRAyEiC01igNZtLCDxSYBloKIrlgsapEAJYlsRv/LFMS1HwQkMw7UQ+4FMyMFLGTFt1DOequTyqbIJm1m3pQ0KjAcOzF57vgHxKGYdMBRYUhKPADhWMZzceLViuURjWJbK5DgB+EGEI0RB8VvQ9KoRp+JgoNXhiJJoAyoFyvIxAkfUVtNqrWMNIOZneK2vAM/X1dGKaJNCR7H9nNtz75XZ77+osd39cbJZNLc+DRfXzmz7+EH0fwxrxGhGFg5fPNv/1yGSub77i9lc1hJtOdxzNNRLsKrZiY66CVIvTqhPValF7RASOR6DihEBMTc3sQloWda1/ZDGB3dbU1PI6JiYlZTcTW0LeZsB4lMiT6BhAdzN+CcgnQHdMjdKgIKlWsXOsNiwoCDNsmKFcQdmRcGtQDZoankEKQHcgTurUlyoBGoFEIlBcQBj4LSoZWGqRAGhJpGA1/EI1hSoTR8OcQIIQg1bvcFBYi0SSaTYhaYxaqNVQQogJFvjeFX/YJtMKvBxQmy/St72Lq8izOGouhrd0UXxxfrNYIFbYhqYmQMFSLfiWKyFh1QddR4AUhqYRFImFR8xfL+hdaW0KlMQ3RrJhZMGwNVCSkhHqhIQdCpTClxFchGoFtGBhS4oWamudjSIO0Y6FnqoRJGyNpYw/kUFWP2sVphjYMcu7YRX7k776PMAz52l9/E8u2OPDkvpU+KtfliXc8wgvffZnvfOFpnnr/G17TWDGvb6Rlkd2yjdmXXgQ03tws6fUbqU1PtlSOQCR2JAYGkaaJ0zdAvU1rTWbTlltm9hrz+iH06tQmxqjNTIFSZHfsxsrl8YuFZdumN27BTN66hKWYmJjrYxgGiYEB3Mmx5ecGwyA5MIQRp8zExMSscuJfsdtM+fIlhGHg9LavDgHwiwWEZS9mvV+7vlIGNOaSChIVNsoUGxUdZsbGrwfMXplCGoJsfx5pSIKG0WmjTwQk+BUv8vswJGbKwnQspCmRhlyM220IG1qDDjVKhWhAB4owVNRdv6mzLLS6CBn9k4ZESoG0DKxENPbCuEN7Eviuj+96uKU6fj0gNxAJLGu29nD2lQlUEAkifqgxDLCloFwLm34igihxY0HV0ESRuX6oSFhGUxDROlojkYQqMksVIlq+MJivQhK2iW1I6kFDPNGRICKlQClNoKLqEgdBKASBBW4QkDJN/JF5jC290Xu8tgv30jRD+SxXqyMMnxvhwJP7CPyAL/75V7Adi91Hdt3Ep6eVwXX97Nq/nY/90ad58/ue6GAiGxNzY5ipND0HD1E6fw6/VEQLyO/cTXVsBG8uagmzu3tIDa1rtN1ZZDZtwUylqI6OoAMfI5EkvWkzdi5/y/xNYl4fhL5H6cJZwmqluax0/jT5nXtwpyaoTYyjwzBKk9m4BSPVuUIpJibm9iEMk649D1IZvoI3NwOA3dVDeuMmdHwdEhMTcx8QCyK3Ea9YoD4zRXJoXUury1K01vjFIlauc6mwXyxi2E5LhYluGBiGnoe0LMJAMTs8jTRkUwwB0Cry/6gXqjgZC6RBojuFYRlIQ7ZUdfi+jw41MtlBVwABAABJREFUoe+jI1/URipN5AliGIK662E7JqHno9RikYYWkT4joKVFBxU1t5iWJNubJvCjSpR0b4bsQK4hTmgCL8AWMLAux+ilucjoVGn8QJCwTWpeiB9ErTJSLkbs6oV8GA11LyCdsNBaES5Nv0Hhh4okJoYQeKrVGNILQhzTxAsDwoahq9Iay5CUAw9LGoShQhqStG1Tq3rUgdBSZB0b7+IMckMXZsLGHszhjRfZsKafky+cZtOujTz0loMEfshn//gLWI7F9ge3rvSxWZE3vfcJfv83P8rTX32OJ97xyKseJyZGGAZWNkd+7z5Qmtr0BPWpSeyeXpIDgwD45RLli+dw+gcwhtZj2HZk8to3EH3hpYzNLWNeFapebxFDooWKwqljJNdtpPvBg42FomUyICYm5s6htaY2PUlteoL00AbSGzYCUfJT+fxZ7J4ezLUb4na2mJiYVU0siNwmtFKULpzDSCY7JstA5KqvVYiZbt+GovyAsOZid3cvWw4C5fkI22FueAppmmT78khDRG02bh2Uwkra2GkHaRmRCWmgCL0AX2lU0MakTkdihFgQVXSUWGMYFqohGFiOiVcPF40UF8o3rsnKXVgcBop61cNyLGZGouhd05LYKYdULoHpWIiEzYF37KL7+DhjF2aYHy810mQgnbCYKwdIRGSsp6IGF7lgDqs1dT9qm0k7FhXXb6TSRBUiikgksU2jGSPcfC21JtSalGVTJYrU9ZUiYZqYUqJEZLYTqiiZJmla1IIAt+6D1mQTDrVLs5yYmSKRSdKfSDNgpzgxNsrkyBSD6/t55O2HCfyAT/z+Z/jRn/8AW/Zs7viZWImN29azfc8W/vz3Ps6jbz2CYcQXITGvDcOyUb6PXyygVUh9enJZW4xfLKAHhpqpVoYTt8fEvDb8crHjOnfkCk7XgThWNybmLqPDgKA4D0FAZfjisvV+sYAeXBsLIjExMaua+BfsNlEZGSZ0q1F1yAql5PXZGaTlNA1Rr8UrziOkXNY7rbyoQkRLwezYHIZtke3PAxqvXCWoudhpi8xQF4muFMIQhF5ArVijOlfFr/ntxZAFhEAISRiEhL5P2GhjEYbEr4c4CavleWlaTUyjg2w8ZuG5Vn2kIUik7Si+1wupzFeZvDRDrVgjDENAs2HPIE98aD9P/e0j7Hx8E3bGxrYMEraJIorb1dAUQwCkFAgJnh+ScqzIDHbhMBZEEaUxOwgIXhAgBCQa5mCRiazCafTG6ob9SKg1oVIkTAvbNqkFAaVanYRlsntgEPyQS+OT1Hyf7f0DfPuT3+HZb7zIyMUxHn7qEGs2DvDx//ppLp283Pm1vw5v++E3M3xhhK9/+tuveoyYmBakRK7QBy5MMzJEjom5RUhrhcqia12xY2Ji7g5CRr//nVabZvxdjYmJWfXEV7i3Aa9YoHr1Con+AcxE51Jf5XsEpSJmLtt+A63xiwWMZJpr83hVvYbWisp8DSthk+nOoLw6koB0T4pUdxppGnjlGvVyjbDuE/ghoR8gDFZW8xsRu2HgN41MtdIopZECAj8EAbazeJJcGpm7cOy6ubxxzGFkpprK/f/Zu+8wue7q8P/v26a37UW9N1uWewFsjDHENqaHhPYl8IMEMCGQEBJSIN0kkAQILRACGNMx3eBgwB3cZNmWbUlW35W2t9mpt//+mN3ZHe3MaiVL2h3teT2Pnkd7P3dmPrO7d++dc8/nnFC5S4w/ETRJD2bxHQ9QyA1m6HrsCMWxAks3tvKC39vGRa/YwpZLVxJPhlBVFUVVpn57p71s0S4FNsIBfeL1pwYd10NT1VJL3Sos10VXVQKahu9P7a8pSinbRCmXLcHDx0AlGAxg4TNeMNEVlTWpRlatXoLSFEHXVFY3NHFw12F+/aP7+PZ//5BMNkcoGuJ7n/sRe5/cX/tnMIulqzo59+JN3Prp75LPFk7qOYSYTtU0Qm2dNcfDbR2oNYpCC3EyjFicWn3mg43NqNK5Qoh5p2oaodaOmuPhts5Zg+lCCFEPJCByirmmyfizu9AiUYLNrbPuWxwaQlFUArHqARErPT5RMLWymJznOviui+eWlsPEG8IEQiqRZBg9aODaHlbRwS7aOEUbVVVKy17MUoXwWh9sfB9cZ1p9DVVlWv1RPNdHMzRQFBzbJRDUSoEJqFwq4/tTbemPud41cxaaoRKMBMrBEFQFz/cZ7cuAArGWOJblcOTpfg789hBHnujBLtqsvmAJ173tMq589VaWb2wt1zeZ/hqe72M5LtHQRKYHPupELonr+fi+j6FX/7X3PB/LdQloOoaqlrJB/FKnm6nnn9zXw1N8NBcCqoZnqIwXTBQgaYE6buLGA4QCAdY1NvO8l1zCpvPXo2oa4+NZbNvhB//9E776b99k58PPnHBg4yWveRH5bJ5vfPZ7J/Q4IWrRwxGCzW0ztgeb22ZtuSvEyVB1g/jqdRx7ktDC4Ym6W3J5IsRCoIcjhFrbZ2wPNregS7FjIcRZQPF93z/+bmeX8fFxkskk6XSaxCzFTE+U59iMPvUkvmMTW7Vm1jtcnuMwvvsZ9ESCYOPMDjS+55E7fBglECDY0FjebhcsxrqOEE+FQVPRdK304dz28LxpgQjAs13wHfSAjmM6eB6o+sxgiO9R6iLjeSgopQAKpbofiloaBzBCGrqhk8+Y4PuEIwEcx6WYs/CnL5+ZXCoz/Tp3WmAlmgqj6SrDR9NTQREAVSHVHCUYD+E5Lk/fcxDXcQkYGgFdQ9VVos0RYm1xEk1RHNvlyN5Bunb3M9A9Vm7XqyoKyUiQTMEiW7TQpsX9goaGqipkClbVn4sP6KqKoakUbRfX9whqGrbnYU9ky7iui65qpTCLqqCh4CvgqqXveSxoENB1cqbFmGkS1w28gEbj1mUoEz+vseE0+544QH48j+06uPgsWdXB+nPXsPac1bQvaz1u147f3Pkwd3z3V/zDFz7EuRdtmnXfenG6jk0xN55j49k2VnoM8AkkG1ANQ+7Wi9NybPqui+eU6td4to0RT6AFQzWXkAohZjoT503PcfBsS84NQoizkgRETtHJw7Mtxp55CtcsElu5+rjF4HJHurHTY0SWLqvoHjOpODyENTpGqK0NVdPxPZfswDCK6xCMBvB9H9dycEu1VWvMyUHXFVzHx3XcGcEQ3/PwHB8fr1QskYliqhPZHp5HeclMqZ2uQjBsUMhaOLaLbqhTXztTS2tg2lKZaYGQSaqmkmyOkksXyI4Wyq+nUOpm09CRRDU0XNtl92+7cAoWrutjBFRCAR1VVUBTCTdHaFySIpoIUcxbHHl2kO69Awz1pAnrOqGAzlC6gDct6KKpCuGgQaZgziiuCkzUJ/EJ6gaGqmI6Dp7vo6sqRdfF8/2JwJOHoekopWImqIqK4oOrgWu7BHWNSMDA833G8kUMVQVdI7axHSNW+t3wfZ+uPd0cfOYwiaY4RiRI/9EBbMshloiydssq1mxZxepNK4jEIjPn6nl85T++ydjwGP/+jX+isSVV/RehjkhARIiFSY5NIRYmOTaFEOK5kYDIKTh52Lks6T278F2H2PKVaLPUDYHJVpb7CTQ2E0gmZ4y7ZpFcdzdGLI4aMHDyeRRloh2s45bqeTgevjJ7SrHilZbI2KZbWiYzEaDwPHeiW4yPoqoTS2p8fNefaGuroiiUghz+RL2RiZcKhXVs08EqOCiKQiCkoekauYyJOxEUmayzMZtQLEA4FmS0L4M9sZRnMiwSjgeIJkMoeqmWR/fT/QwdTeNNBGdCAZ1goJTp4Xo+SlAj3hqnqTNJKBqgmLM4un+IdM84I0fSDI7kKuYTCRo4nkfetCvm5PtTBVhRKNcTsV1vor2vQtFxSkuLPBdFUdF1DcXzJ75PSqkLjgKO56L4CtFQAENTsRwH0ym1QC4GFKJLG4k3J1AUheHeEXZv34Oma2y76jyMoMHRg730HO5ldCgNCrQvbWXVxhWs3LCc5WuXEgqXunxkxrJ8/l++TFNrA//0xb8mGp8ZOKkncmEnxMIkx6YQC5Mcm0II8dxIQOQ5nDx8zyPfc4TckS60YJDI0hVox0n1dU2TzP69qIZBuL2zIrvDdx2cQgFrdARFVVAUBd/zsYs2Vt5CMzQ0rZRh4fnqrEEHxXNRFErBBkXD9118l/IH+1JXFhXf9/BcUCafTSm1tdU0Fdf1KKU/AF7psUbAQNMVChmTyaqpwbABKOSzJp47S+eaY8Qaw2iaxmhfBs9xmQqlKCRbo+hGqUaJamhkhvJ07eonP14EfHRNI2BoKAroWimo4zgeasQg1hKlsT1BJB7CdT1Ge8Y5cmCY/q5RRvozaIpCKKBXZIlMBkMU1IqlPqqqEJjI4PG9UnveguNMdMQBTdXQdLVUXKT0rUVVFBQUPHwcz8PQNcJGqYWv47o4rk/GNBm3baItcRKtSfRwgH1PHmC4b4S25a1svWILDa0N5DJ5erv66e3qo697oFRrRIG2JS0sW7OUpas7CYQMvv/ln9K5vI2//uSf0tTaSL2SCzshFiY5NoVYmOTYFEKI50YCIidx8vBsm+JgP/meo3i2RbCphVBL63GLwNn5HLlDh0CFcGt7acmKbeFZJq5ploMSnudh5SzMnI1VtAlEA4TDOqWMjlKmh+dXXyfjuS6a4qMoCs7EkprpQZDJtSy+708th5mIyvhMX1pSCriUdvFKtUkUUFWVUMTALNg4povvl5bYBMMGqqpQyFnYlstcqCrEGqKomsL4UBar4JQ7w6gqJNtiE99THxQVPaAxNpBl8PAo6cEs6kStDwDP99A1DUMvBUc8zwdDI9oYIdESJdYYQdM1HNtlpC9DejBLeiBLz9FRxoZzuO7MYEiZD4amoWuTS4l8io6D6TgT36tSfROlNBHwJrNFSt9dDx/P89B0lZCmY+gavu/juB5Fx2E4m6fgOkRSURRdZXhglFyuQPPSFtacs5LOVR3oho7v+2TGsvQfHWTg6CCDvcOkR8YB0A0dz/NQVIXnveQSrrr+Cpau6qShJYVaR8UJ5cJOiIVJjk0hFiY5NoUQ4rmRgMhxTh6+7+PZFm4+j53NYKXHsMfToCgYiSSh5la0YLBifzwP33NLRagcBzeXw86O49kWiqKCopQ/eHteqRaI7/lomoLtOGQG86BqhOJBAoaKUk49UFEVH89XJ+pY+Hiuh+e6qJQKpupGKavEsdzS8him8i78ieDGpGqBkEmqOtmZpRQM8acSSAgEDTRDxcyVaomUHqAQDGpohobruFhFF9dxJwIqtSkqRJNhjKCOVbDJZ4rYRQd8BUWFRHMUI6BNBHB8fEXFCOm4tsf4cI7sSB4rZ2EXHGzTwZnIUNE0FUNTSktalNL7D8QChOIhQvEg4WSIUDRY/hlkxwqMj+bJjhXIjhfJZ0wKWZNi3qKYtzALDvigqwq6pk5lgLhe6Z/n4Sul7J1yYKTcRGeq+a8HKL6PrpcKxWoTwQpvomir6bgULJuCZVN0HYqWjYdPJBkh2ZIi1Zqioa2BRFMcTdOwihbDAyMM948y2DtMb1cflmmXC7Lqhk5rZzMtnc20tDfR2Joi1ZQk1ZQk0RAnnowRS0SJxCMYxvy3zpMLOyEWJjk2hViY5NgUQojnZlEGRNLpNKlUiu7u7llPHs5gP85AH1Cqo6Go1bMyTlT5w73vz+wk4vs1i6RODfhVtlU8yXOe4/FVm8ssjrdbldSM6QVdq+0/20+jmDHJDucn9i0Ff459CVVXCUYDBKIB9MCpCQZ4rsd933+Kwe4xfPyqhVunUyhl46gn8Ls1nM3Tn8nOuo/tOgzmMried9xuNSfrmle9gDf88Wvm9PzxeHxO+8312BRCnBpybAqxMMmxKcTCNNdjU9SP+b8lPA8ymQwAy5Ytm3W/m974ej5807tKX5zk732teJOiKlT/SD+XFzrePmfyID19r6WoM7vvzOBXn0IwGqzaYrji+SezdBwPy6lsw6tqKnrwxA8PVVNJNkUYOjJWCsJoypxiRtM74SgKs/6hDR7nfQEYmo6qKLhM/Q5aronrOSgoBPQgmvrcDv8ffvOn3PS3b6+aYXSsud65muuxKYQ4NeTYFGJhkmNTiIVJsrHOPosyQ8TzPHp6es54hG98fJxly5ZJFH8W8j2am3r7Ps31WJuvY/NMqbef20In38/n7kwfm2fTz+xseS/yPhamhXjePNu+x9PJe6tP8/HeztZr1MVsUWaIqKrK0qVL5+31E4nEWfcH6VST79HcnG3fp/k+Ns+Us+3nNt/k+3n6nepj82z6mZ0t70XeR32aj/Pm2fw9lvdWn87m9yZOv/ppPyGEEEIIIYQQQghxikhARAghhBBCCCGEEIuOBETOoGAwyEc+8hGC09r0ikryPZob+T7VJ/m5nVry/aw/Z9PP7Gx5L/I+xFydzd9jeW/16Wx+b+LMWZRFVYUQQgghhBBCCLG4SYaIEEIIIYQQQgghFh0JiAghhBBCCCGEEGLRkYCIEEIIIYQQQgghFh0JiAghhBBCCCGEEGLRkYCIEEIIIYQQQgghFh0JiAghhBBCCCGEEGLRWTABkZtvvhlFUXjf+95Xc5+7774bRVFm/Nu9e/eZm6gQQgghhBBCCCHqnj7fEwB45JFH+MIXvsDWrVvntP+ePXtIJBLlr1taWk7o9XzfJ5PJEI/HURTlhB4rhDh95NgUYmGSY1OIhUmOTSGEeG7mPUMkm83yxje+kS9+8Ys0NDTM6TGtra20t7eX/2madkKvmclkSCaTZDKZk5myEOI0kWNTiIVJjk0hFiY5NoUQ4rmZ94DITTfdxA033MCLX/ziOT/m/PPPp6Ojg2uuuYa77rrruPubpsn4+HjFPyHE/JNjU4iFSY5NIRYmOTaFEOLUmteAyLe+9S0ee+wxbr755jnt39HRwRe+8AVuu+02vv/977NhwwauueYa7r333lkfd/PNN5NMJsv/li1bdiqmL4R4juTYFGJhkmNTiIVJjk0hhDi1FN/3/fl44e7ubi666CJ+8YtfcN555wHwwhe+kG3btvGJT3xizs9z4403oigKP/7xj2vuY5ompmmWvx4fH2fZsmWk0+mKWiRCiDNLjk0hFiY5NoVYmOTYFEKIU2veiqpu376dgYEBLrzwwvI213W59957+fSnP41pmnOqDXLZZZdx6623zrpPMBgkGAw+5zkLIU4tOTaFWJjk2BRiYZJjUwghTq15C4hcc8017Ny5s2LbW9/6VjZu3Mhf/MVfzLlQ6o4dO+jo6DgdUxRCCCGEEEIIIcRZat4CIvF4nHPOOadiWzQapampqbz9Qx/6EEePHuWWW24B4BOf+AQrV65ky5YtWJbFrbfeym233cZtt912xucvjs/3PFzTxM5m8EwTI5FAC4XRAoH5npoQQog65vs+rlnEyWZxi0WMWBwtHEaTO+dCnHKebePZFlY6je/7BJIptEAA1TDme2pCCPGczVtAZC56e3vp6uoqf21ZFh/4wAc4evQo4XCYLVu2cPvtt3P99dfP4yxFNb7nYaXTjDz5OHheebuRSNJwzjlowdD8TU4IIUTd8n0fO5Nh5PHH8F23vF2PRGk47zz0UHgeZyfE2cW1bfJHjpA9dKBie3TZcmIrVqAacpNLCFHf5q2o6nwaHx8nmUxKAarTyCkUGHz4wYpgyKRI5xLia9ehznFZlFg85NgUYmFaSMemUywy9MhD+I4zYyzY3Exq0xZUfUHf7xHilDndx6Y5NsrIjseqjjWet41gY9Mpf00hhDiT5rXtrjh72ePjVYMhAPm+XjzLOsMzEkIIcTZwC/mqwRAAc2hIzi9CnCKe65Kblql9rGzXYbwax6IQQtQLCYiI08I1i7UHPQ8WX2KSEHVlz/ZnyY3n5rz/vp0HGBkYPY0zEqLkeAEPv0YwXghxYnzPw7PMmuOeZcnxJoSoexIQEadFIJGsOaaFQiiyXEaIBauQK/LJ93+WW//123Pa33Vc/uWPPs5Xbv76aZ6ZEKBHozXHFF1HkeUyQpwSqqYRaGisOR5INcjyZyFE3ZOAiDgttHAYPRarOhZfs1Y6AQixgA33DgOw78n9c9p/dHAMgKceeuZ0TUmIMjUQJNDQUHUsvmqNdDIT4hRRVJVIR2f1m1iqSnTpMrnBJYSoexIQEaeFFgzSeO55hNvaQVEAUINBUlvOITjL3QYhxPzLjmVL/5nj0rbMaOY0zkaISlogQGrTFiJLloBauoxRAwESGzYSbmtFUeXSRohTRQuHabrgIozkVOavkUjQfMFFaCHpGCiEqH+SVypOGy0UIrF+A7FVq8H3UDRN2u0KUQfy2QIw91I/2ROoNSLEqaAFg8TXrie6bAX4HqgaWjCIMhGAF0KcGoqiYMRiNJyztVzMWDV0abcrhDhrSEBEnFaqrkv7QyHqTCFbKorszbFYXj5TOJ3TEaIqVVVRw+H5noYQi4IWCIAsRxNCnIUkr1QIIUQFs1DqKmAVLPw5pIkUclNdpRxbWjAKIYQQQoj6IAERIYQQFSYDIp7nYVv2cfcv5qcyRMzC7C1RhRBCCCGEWCgkICKEEKKCVZwKaswlwFHMm1P7F81Z9hRCCCGEEGLhkICIEEKIChUBkXxxlj1n7m+bx88oEUIIIYQQYiGQgIgQQogK04MaVnEOS2YK0zJECpIhIoQQQggh6oMERIQQQlSwLJtguNRNYC5LYKyiRTAcBMC2pKiqEEIIIYSoDxIQEc+Z57q4ZhHXNPHn2KZTCLFw2aZNKBIC5pYhYhUtwtHS/nMpwirE8biWiWuaeI4E2IRYCHzPxTVLx6XvuvM9HSGEOGX0+Z6AqF++7+MWi+SPdFEcGkRRVMLtHYQ7OtCCofmenhDiJNmWQygSIj08XlEfpBazaBGKhmAojSU1RMRz4FoW5sgQ+SPdeJaFkUgSW7kKLRxB1bT5np4Qi5JbLJLrOYI50I8PhFpaiSxZih4Kz/fUhBDiOZOAiDhpbrHIyOPb8Sfu4PlArvswxaFBGs7dKkERIeqUbdoEo8Hy/4/HKlqEJpbMOJIhIk6Sa1tkD+yjODhQ3maNjjAyOkrD1vMIJFPzNzkhFim3WGTkyR145tTyyULPUcyhQRrPuwAtJNd6Qoj6JktmxEnxXZd8z5FyMGQ6t5DHSqfnYVZCiFPBsZxygGPOGSKRySUzssRBnBzPsiqCIVN8Mvv24lrH/10UQpw6vu9THB6sCIZM8iyLwkA/vu/Pw8yEEOLUkYCIOCme42AODdUcLw7048kaUyHqkm3ZBEIBFEWZU00Q25wqqurYEhARJ8eeJZDu5HNVA/BCiNPHd5waQcoSc3AAz5asQCFEfZOAiDg5Ciha7V8fRVVRFOUMTkgIcao4toOma+gBfW5LZsyprjSSISJOlnK8GiFyThHizFIUFLX2calomlzrCSHqngRExElRjQDhjiU1xyOdS1BU+fUSoh45toOmqeiGjjWnDBEb3dDRDA1H7haKk2QkkjXHAg2NqIZxBmcjhFB1nUhn7Wu9cOcSOS6FEHVPPrGKk6IoCqHmFvRYfMZYqLUNLRKdh1kJIU4Fx3ZLGSKGNqcMEdsqBUR0XcexZamcODlqwCC+bsPM7UaA+Jq1qLrUgRfiTDMSCQKNTTO3pxqk0LEQ4qwgVxfipGnBIKnN5+DkshT6+1BUlXBHJ3oojBoIzPf0hBAnybEdVF1DN+a2ZKaUIaKh6ZrUEBEnTdV0Qs0tGPEExb5eXLNIsLGJQKpBOlkIMU+0QJDEuvW4+TyFvl583yfc3okejaAFgvM9PSGEeM4kICJmcE0TO5OhMNCPquuE2zvQwmG0KmmRWjCIFgwSaGgEkLWkQpwFXNstL5k5Xk0Q3/exLae0ZEZXJSAi5sxzHFyzSKG3FPwINbcSSCYxolGMNWvxPU+WXgqxICigqGiTWcGKAtJcRghxlpCAiKjgFouM7HwCJ5stb8sfPUJ02XKiK1ZWDYqABEKEOJu4TqmoqqYff8mM67j4vo+ul5bMuI4smRHH5zkOhYF+xvfsLm8rDgygBUM0nn8BejgswRAhFgDXNBnfu4fi4GDF9kBTE6kNm9CCkiUihKhvcrUhynzPI9/bWxEMmZTr7sItFOZhVkKIM81xJmuI6Mdtuzs5rgd0VE2VLjNiTjzLqgiGTHLNIpkD+6RtuxALhJ0ZnxEMAbCGh7HGxs78hIQQ4hSTgIgo82ybfM+RmuOF3p4zOBshxHxxHRdVU0s1QY4T4LAmMkhKS2Y0XEcCIuL4zNGRmmPFwUE8yzqDsxFCVOM5Drnu7prjuSNduNJZTAhR5yQgIqb4Pv4sd+U8x8b3ZdGoEGczz/XwPR9N09AMDcuc/YPp5JIaTdfQJENEzJE/W+DM95ECBULMP9/38b3a14W+66LIdaEQos5JQESUKYZBsGlma7VJ4bZ2qRUixFnOmfigqukTRVXN2QMckwEQ3dBRNU1qiIg5mSzEXY0ei6NoUuJMiPmm6jqhltaa46HWNhRphy2EqHMSEBFlqqYRX7m6aiE7PRrDiCfmYVZCiDPJtUsBDVXT0HUN+7gZIqVxXddQNVUCImJOtFCIQLUAvKKQXL8eTVq3CzHvFEUh3NqGWqVwqmoESjfKpPixEKLOSVhXVNDCYZovuoTMoQOYw8MoqkZkSSeRziVSSVyIRcBxJgMiKpqhYR+nje70DBFNU8uPF2I2WiBAasMmCgP95Lq78GybQCpFfPVa9EhkvqcnhJighUI0nX8hue4uCv194PuE2tqILV+JHg7P9/SEEOI5WzBh3ZtvvhlFUXjf+94363733HMPF154IaFQiNWrV/P5z3/+zExwkVBUFT0aJblxMy2XXEbzxRcTW7EKLRh6zs/tuy6uWcQaT2Nn0rhmcdaaJUKIM28yw0PTVHRdxzlOQMSxK7vMSIaImCstGCS6dBnNF15M66WX07DlHALxOL7rYGczWOkxnEIBz5GijULMJy0QILZiBU0XXEjThRcRX7lKsriEEGeNBZEh8sgjj/CFL3yBrVu3zrrfwYMHuf7663nHO97BrbfeygMPPMC73/1uWlpaeM1rXnOGZrs4qJoGmnbKns9zHKzRIbKHD04UzANUldiKNQRSDaiyBlWIBcGdCICoE0VVJ4um1jJZY6RUVFU7bgBFiOkURSlnH/q+j5PPMb53V0WXmUBjE9Fl8gFMiPngOQ7W2AjZwwfA80obFZXYipUEGprl+k0IUffmPUMkm83yxje+kS9+8Ys0NDTMuu/nP/95li9fzic+8Qk2bdrE29/+dt72trfx8Y9//AzNVpwst5gne+jAVDAEwPPIHtyLaxbnb2JCiAquU7rg1XS1VEPkOF1jbGuq7a5kiIjnwrMs0nuentFy1xoZptjfiz/5YUwIcca4ZpHswX1TwRAA3yN76ABusTB/ExNCiFNk3gMiN910EzfccAMvfvGLj7vvb3/7W17ykpdUbHvpS1/Ko48+ij1LH3TTNBkfH6/4J84cz3XJ9x6tOV7o65EL3UVKjs2Fx3Wn1xDRj58hYk213ZWAyNljPo5Nt5Cv2Y63ONCLN8t5XojF4kwem57nUeirff2W7z2CJ0ufhRB1bl4DIt/61rd47LHHuPnmm+e0f19fH21tbRXb2tracByHoaGhmo+7+eabSSaT5X/Lli17TvMWJ8jz8Iq1s0A8szhrn3tx9pJjc+GZDGioailD5HhLYKaKqmpSVPUsMh/H5mzZgr7nSeBcCM7wsem5s1+/FYuVmSNCCFGH5i0g0t3dzZ/8yZ9w6623EgrNvWCnoigVX/sTSzCO3T7dhz70IdLpdPlfd3f3yU1anBxNRYtEaw7rkSiKeurqlYj6IcfmwuMe02XGsZ3y39lqbMtGURRUVUXVtHINElHf5uPY1MK1u8soui7tPYXgzB6biqqhR2M1x7Vo7JTWmxNCiPkwb5WQtm/fzsDAABdeeGF5m+u63HvvvXz605/GNE20Y/7Itre309fXV7FtYGAAXddpamqq+VrBYJCgtIydN6qqEelYgjVSJYtHUQi1dciF7iIlx+bCU9FlxtDxPR/P9dD06he9lmmjGVopKCJLZs4a83FsaqEQajCIZ5ozxiIdS1GlqKoQZ/TYVFSVUFsHxaGByhpwEyLtnahy/SaEqHPz9lfsmmuuYefOnTz++OPlfxdddBFvfOMbefzxx2cEQwAuv/xy7rzzzoptv/jFL7joooswDONMTV2cBDUYIrF+M6oxdUGrBoIk1m8udxgQQsy/yaKqqqaVgyCzFVZ1LAfDKMXWNQmIiOdACwRJrt+MHotPbVRVwp3LCDa1zJoJKoQ4PbRg6VptekBSNQIT129zz/AWQoiFat4yROLxOOecc07Ftmg0SlNTU3n7hz70IY4ePcott9wCwDvf+U4+/elP86d/+qe84x3v4Le//S1f+tKX+OY3v3nG57+YubaNb9v4vo+iqeih8HEfo2oaRiJJcvO55aJ5im5IG0UhFpjpRVV1YzIgYhOKVA9c2paNPhEQUVWpISKeGy0UJrF2I55jg+eh6DqqbqBUuUniOTaebeN7PoqqoAZDcrdaiFNMUTUCiSSJDeeA6+IDiqaiBUMSpBRCnBUWdPPw3t5eurq6yl+vWrWKn/3sZ7z//e/nM5/5DJ2dnXzqU5/iNa95zTzOcnFxCgVy3YcwR4bB99FCYWIrVqHH4scNbiiKghYIQkAyQoRYqCpqiOilU8RsnWYsc1pARFPLARUhTpZqGKjHyfp0iwVyPUcpDvaD56EGAkSWLieQbEA/gbpkQojZeZ6Hm8+TPXwAezwNgBFPEFu5Gi0cQZUaIkKIOregAiJ33313xddf+cpXZuxz1VVX8dhjj52ZCYkKTqFAes/TuIWpvvNusUB6zzMkN25BCzTO4+yEEMcz3DOMVbToWN1Rcx/XntZlZiJDxJllyUxFhoimlZfcCHG6OMUimQP7sNNj5W2eZZE9sI/YitWo7R2SKSLEKeIVi4w98yT+tGC3nRln9OknaTx3G+osRfOFEKIeyBWDmDOnkK8IhkyX6zqEM0trNiHE/Mpn8nzmpk/x2Zv+i559PTX3m75kZrKGiGXVzhBxLLu8n6ZLDRFx+vmOXREMmS53tAtvlva9Qoi581yXwkBfRTBkatAj39eD50hnMSFEfZOAiJizWhegAE4+J73ohVjAnrrnSeyijaqpPPrzh2vuN33JzGTmx+wZIk45k0RVVTxZMiNOMyeXqznmO071D29CiBPmOXZ5mUw19vi4BESEEHVvQS2ZEQvbbC0PFU0DKa4lxIK1f8d+2la109TZxLOP7Km5n+uWApuaOhUQma2GiG3a5Vojpba7EhgVp9fx6osgy2WEOCUUVZ31eFMNQwqrCiHqnlw1iDkLNNSuERJqaZs1YCKEmF/de7poXdFK+6p20oNpxoeq3/XzqiyZsWdZMlMqqjqxZEaKqoozQAuHUbTq93MCqQbUGmNCiBOjGQHC7Z01x8PtnWhBKZQvhKhvEhARc6YaARLrNszIBDHiCcIdS6TSuBALVD6TJzOcoamjiealLQA164hMZngoqjLVdne2DBHLqmi7KzVExOmmBkMkN2xGUSvPOVooXOp8IR/QhDhltHCEcMeSGdtDbe3o0dg8zEgIIU4tuY0iypxCAd/3UQOBcgr8dJphQLKBxq0XYI2n8W0bI5lEDQRnbXPoTazpVnUDRZMYXC3psQz4PsmGxIyxQr6IZVqEIyECQcnEESdmsGsQgFRbA9FUlGAkSN/BXjZetmnGvq7jompqqU325JKZWTJEbNNBD0wtmfFcD9/3JY1aPCee4+B7HqqmlZZkAq5lTZxLdPRYjIZzt01sc1CNAGrAQA+F53nm9cXzPDLpLJqmEUvU7hbi+z7jYxkUVSGRjJ/BGYr5podCRDqWEOpcAhPnAiUQAN9Hl+BjXRjsHwagpa1pnmcixMIkARGBnc9jp9PkjxzBcxyCzc1EOjsxojMvjjTDAMNAj0SO+7yuZWGPj5M5cBDPMgk2NRNdvgw9EpEPS9MM9A3x4H3b+f43b8f3PG783Zfygmsuo629hcx4ju4DR/nm/3yfviMDbNy6jte+5WV0LGsjIEuUxBwNHx0CBRLNCRRFIdXWwEDXQNV9JwMiwJza7lqmRShaCohOPs5zvfJyGyFOhGdZ2JkM2UOHcC2LQGMj0aVLcR2b3KGDeKaFkUgQXbYct1AkvXc/bqFAsLGRxJpV+IZbDqCI2fX3DHLXz+/nrp89QCAY4NVvvoHzLtpMY0tD5X69g9z9iwe4/ft3ohs6r3njy7jkigvkw9Ui4jkO5vAwhd5eAELt7YSbm0ECIgtaT3cfD96znV/++B4AXvzyq7jsqovoXNY2zzMTYmGRgMgiZ+fzjO/Zgzk0VN7mZLMUenpouuiiqkGRuXAtm8yBg2QPHpx6rUyWXHc3rZdfhhGXO0xQCob8+bv+nl07ny1v2/XUXr5zy4/4r6/czEP3PMYn/+EL5bEDzx7mFz+6m3/7nw9z3sVb5mPKog4N9wwTTUbLS1uSzcly1sixPNdDmwhsaJqGoiqztt0t1RCZWjIDpda9EhARJ8qzbbKHD5M9dKi8zclmKRw5QsPWrTjZLJ5loUej5LqPkN69t7yfPZ4h29VN2/MvJ9TYUOXZxXR9Rwd435v/hsG+4fK2Zx7fw8XP28YHb/5jGptTQCkY8u43fZDuw1NL7J56fDfnnr+Jj376byUosgjY+TyjO3fiZDJT28bHKRw9SsN55530daI4vXq6+/jIH/8bB549XN6256n9/Oy7v+QfPv0XdC5rn8fZCbGwyPqFRc4rFCqCIeXtlkX2wEEcyzq557XMimDIJN91GX36GdyTfN6zzfYHn6gIhkw6tL+bseE0n7n5f2eMObbDx/7mMwwPjp6JKYqzwGj/CPGGqSBksiXJSM8wvu/P2Nd1XJRpXToMQ8eZtYbIVFHVyQwR6TQjToZrWRXBkEm+55E5eJBIZ6mOQai1jfSefTOfwPMY2fEEjmme5pnWN9u2+f6tt1cEQyY98sDjHNrbBZQCm3f8+NcVwZBJO3fsYueOZ077XMX8s4aHK4Ihk5xcjuJg9cC6mH8P3bO9Ihgy6eDeLh66Z/s8zEiIhUsCIotcvq+v5lhxoB/frv1BaDbm8MwLrUnW6OhJP+/ZJJvJ8cNv/6zqWCwe5fD+Izh29aUKvd39jI+Nn87pibPI2MAY0Yap4nfxpgRW0SKXzs3Y13O9cqYHgGbos2aI2NMyRLTJWg/SaUacBGu0dpDXTqfRozHUQAAnm4cqwTwoZSJ6EnCfVXpknF//9L6a47d/75d4nkd6dJyf3nZnzf2+/82fUcgXTscUxQLhFArlZTLVFPv6sPP5MzgjMRdDA8P8cpZj/M6f3Mtg/8gZnJEQC5sERBa9WWp5PKc6H8d5rNQQKX2LnsP3QTne91iICemBNNHkVFpzoqmULTLSO/OCyHWnaogA6IY+a5eZ6UtmFLX0O+lJhogQC5eizHrumWuNL+U5nsNEnZCfcR2a/QpRURRU+bEKUSYBkUUu0lF7DWGorQ3FME7qeYNNjTXHAo0NKFW62Cw2sViUV/3+9VXHspkcK9YuxTCqf586l7cTT0kdFnF8nueRHc1UBETijaXfndG+agGRqRoiUCqsOnvb3ekZIlM1RIQ4UYGG2rU/AskkdjZTqiESi9T8kGbE42iGFJyeTbIhwYtvvLLm+PWvfTGqqpJqTHLja19Sc79Xv/4GwuHaHeZE/dPDYcIdHTXHQx0dGHMosi/OrObWRq59+VU1x699+VU0tda+ThdisZGAyCKnhkKEWlpmbg8EiK1ciX6SnUy0YJDY6lUztiuaRsPmzWjSIQWACy/dypbzNs7YvnrdChqaUrznr/+/GWO6ofPn/3QTTS1SOFAcX24sh+d6FQERIxggGAky1j82Y//pXWag9PtmFasHRHzfx7GcmUVVHQmIiBOnBQLEVlU/b8RWr6LQW6plURzoI7lx3cwnUFWazt+KFpLOF7MxDJ1XveE6WjuaZ4xdcuUFrFy7FCgdzy+98WqWr1o6Y79tF5/DOefPbNstzj6BhoaqhfD1WKzUaUYsSBe/4HzWbFw5Y/vqDSu45AXnn/kJCbGAyW36Rc6IRIivX0+ovZ38kSP4jkOwpYVwe/tzqhyuGgbxVasINTdPtN21CDY3EVu6DC0SPoXvoL61tDXzr5/9Wx79zePc9o3b8TyXV7zud7jiqktobW/mhdc9n7UbV/GtL/2Q3iP9bNq6nle/+QY6lrbO99RFnciMlGrNRBKVx3OsIc5Y/8yaDZ7rVtQQ0QM6do2aDI7l4Ps+RmBiycy0DBHPtvF9Dy0gH07F3KiGQXT5coKNjeR7e8Hz0CbuUHu2jRGP45omim4QXdpJqLmZ8b37cQoFQk2NxFevnFNLeAFtS1r5xK3/xH2/+C2/+un9BENBXv3mG9hy/gYam6eC7W0dLXzmlo9y/10P8ZPv/QJd1/jdN93IBZeeR0urdJhZDIxolNS552KNjGCm0yi+j5FMEmpuluNtAetc1s7fffLPefSBx7nzR/fg+z4veeULueh550vbXSGOIQERgRYIoKRS6NEovuehGAbqtCUtTrGIk8viZLNokQhGNIqVzeIVCgRSDWjhcNWMDy0QQGtqIpBM4nseqq5XdK8QJa1tzVz/qhfzghddho9PIjl1JyYWj7Bx6zr+8qPvxSyaRKJhjMDJLWMSi1NmpNQdIByvDERGU1HGBsZm7O+5XmWGiF67hog1sX36khlFAX+oj8GDpQ4UodZ2EuvXoyhy7IvjUzQNNRgk2NCAa5oEkkkUVSWYSqFHNk+cSwwUVUFRNZIb1uK7DmowiGrIOeZEtHW08Oo3v4yXvOJqVE0jFq/+4bato4XXvOFlXHvDVShAPCnLNRcbRdMINKTw/VJ9qEBDg9QWqQOdy9p5+e//Ds+75lJ836dZlskIUZUERBY5z3EoDg6Q3r2rYnugsYnUxk34rsvwjsfwrKk2hoquk9q8hWxvD5kD+zGSSRq2nIMWrL6WWJV6IXMST8ZqjoXCQUJhudMuTlx2NAsKhGOVAZFYKsbA4YEZ+7vHdJnRDa0c+DiWZZYyRyYzRFRV5SUvPRcyI4Ta2lFUjULvUbRQkNiKmUshhJjOcxyssTFGn94J3lRhXj0ao+Hcc9HDpQ/svu9jj6cZeeJx/Gn1arRwmMbzzkcPSxbiXKmqSmKO9agSEghZlJxigVx3F/kjRyq2hzs7iS1fKcdbHZAl1kLMTm6lLHKuac4IhgBYI8M4uRyjT++sCIYA+I7D+J49xJavAErtEHNHuvE96SwhxEKTGckQioYqsj6glCEyPpTGP6Z9qee45W4xUFoyYxaqL5mZDIhMZohEgwovvHoTbjhBuLWNUHMzoZZWct1duMXiqXxb4izkmuaMYAiAk8uSOXAAd6Jdu2eajDz5REUwBMAtFBjfuwfPqd6uXAhx4pxcfkYwBKDQ04OdzczDjIQQ4tSSgMgiV+zvqznmex5ONlt1zDWLqNMq+eePHsWrUWdACDF/cuks4ejMO3jRZBSraFHMVQYq3GOXzBg6tlkjIFKczBAxwPfpiHn09ozh6FPZYqGWVhRVJd9z9FS8HXEWszPjM4Ihk4qDA+VzjJPP49cIepjDw3IuEuIUcS2L/JHumuP5I904pgS7hRD1TQIii5wzy13b42V8+J5bXkPqu+6MO81CiPmXHc0Sis1czhadWKI1PpSu2O653owMkVpdZia364ZOwMkT1OA3v9mL5039LSitPW+k0N8nWWRiVl6NwBsAvg8T9Qs8e/aAh/yeCXFq+K476/Hm2TZ4cu0nhKhvEhBZ5ELNM1vuTlJ1DWYpUKfoeukilVL7NUXTTvn8hBDPTW4sS6hGhgjA+NB4xXbXqewyYxh67RoikxkiQZ2wnSHvqAwPZysCIgCBVArfsbHSY8/lrYiznJFM1BzTQiEUrbQ0S4/WrrekHlMUXAhx8hTDIJCqXX/CSKZK14JCCFHHJCCyyBmJBFqoRjHUQLBcJ+RY4bZ2zOHh8teJteurdpoRQsyvXDpXNUMkkoiAAukqGSKVbXcNrKJ57MMBMCfu6CeDPqrvkfP08nNMp4XCqIEA5vDQc3ov4uymBUMYiepBkfjqNeXijVogQLCpuep+sdVrUINSgFqIU0HTdcIdnVWDHoqmEV26DM2QzndCiPp20mFdz/PYt28fAwMDeMekp1555ZXPeWLizNBDIRq3XUDmwH6KgwPg++ixGMl1G9DCYSJLlqIGAmQPHsSzLRRdJ7JkKXo4THr3LvRIlMS69RhxqT4vxEKUS+dYsn7pjO2qphKOhRkfPiZDxHVRpy2ZMQKzZ4goCiRUC1s1cCdi7MeeExRFwYgnMEeG8X0fRdo1iir0cJjU5nPIdh2i0NcHnocWChNfvYZAKlXeTw0ESG7YSO5IN/mjR/BdFzUYJL56LcGmJvn9EuIUUkMhmrZdwPj+vVijo0Ap6y+xdh1qjRtqQghRT04qIPLggw/yhje8gcOHD8+oG6EoCu4xld/F6eF7Hp5jl4rLqSqqrqPq1SP1vufhWRaeY4Oiouoavu/j2w6KrpNYt5746jWAj6LpU9kemkakc0npbpznoagqGDq+ZdNy6eUouoYWWJx344oFk7HhNLlMnlAkRLIhTiwRne9pCVHm+z758TyhaPWL1mgySqbakpnpRVUDenlpzLHMgsX69e3ouOT1KIpaKnR5bEAESsvqzOEh3GJR2jSKssnzku96qIaBFggQX7ma6LLl4PkomooaCKBqlZcrWjBIfOUqIkuWTOynoUlmyII0PDBKZiyD7/vEU3EaW1IVWWhiYdM0DSIRkhs2luvzKKqGEgiUxsSC5fs+I4OjjI+WugElGuI0tjRI0FiIY5xUQOSd73wnF110EbfffjsdHR1yYM0Dz7EpDg9RHOgtF5rTwhFiy1bPWALj2jbmYD/ZQwfLbQq1SJT4qtVkDuzHLeQJtrQSX7Wm6gWloijox94FCC/uNaOjQ2N854s/5BffvxvXKX1Pz7/iXN79N2+jpaN6KrcQZ1oxV8T3/JoBkXA8Qnq4csmM604EPicYAQPHckpLaY5p3WsVTZ5/5QZcRcNVdFS1dCwcu2QGwJio+2CNjUpARADgFPKkd+/CmWzdqapEly5Hj0XJHz1c2qYoBJtaCTW1zjg/KZqGrsnv0kJlWTbPPrmPT/zN5xnqHwEg1ZTkPR/5/zjnos2EwhLAqgeubeNkxhnf+yyeVVo+qRoB4uvW48fj6Iv0pthCZ5oWu3Y8y6c+/AVGBkuZPY0tDfzx37+DzRdsIBiUZe5CTDqpEP3evXv5l3/5FzZt2kQqlSKZTFb8E6eX7/tY6TGK/UfLwRAAt5Bn/MAe3GNaDtrpMTL795WDIQBuPkd6z25iK1cDYA4OkDmwD69GK0MxxSxa3Pa/P+Xn3/lVORgCsOM3O/m3P/8vxkbSszxaiDMnP54HmCVDJDIjQ8RzKgMfRrCUdWZV6QCiODZr17Zh6WFQlPJdX79K1wFF09DC4VJrVbHouWaR0SefmAqGAHgeua5DuIUCWmQi2873MYf6MceG8TzJPq0nAz1D/N27/rUcDAEYG07zL+/7T3q7+uZxZuJEeKbJ2DNPlYMhUOr0lH7mKXxpcb1g9R8Z4B/e87FyMARgZHCUf/zjj9PfPTCPMxNi4TmpgMill17Kvn37TvVcxBz5tk2hv6f6mGPjFvPlr13LJHvoQO19zQLaxN1ac2jwuO0MRSk75I7v/arq2N6nDzA6OHZmJyREDZMBkWCk+h28SCI6o4aIV6WGCJSWxxyrKeKTz1s4aulO02S73lrLJvVIBDstAUMBTi5X8QFruvyRIwRTTRXbzKF++fBVRxzb4WffvhPHmfm3wPN8vveln1AsVP/5i4XDcxzyPUfKHQWPlTvSjWtXrzEl5o9lWfzoaz+vmq3puR4/+trPqt7kEGKxmvO6hyeffLL8/z/+4z/mz/7sz+jr6+Pcc8/FOKbC9NatW0/dDMUMvu/hO7VPQG4hD4lU6QvPxy0Uau+by6MFQ+V9fMkQOa5Crohj1/4+DfYOs2pD9e48QpxJheNkiEQSUfLjeRzbQTdKpwPX9QholUtmAMxjPrx4jk1L0mDXrl5WNHYAoCiTRVWrXzxr4Sjm8DCebaNKZ4JFzc5ma455toWiVtYm8F13Rs0ysXCZRYv9zxysOX5wz2GK+aIsm1ngPMfByeVqjju5LL7rgPw9X1CKeZMDuw7VHN+/+zDFgklAls0IAZxAQGTbtm0oilJxQfK2t72t/P/JMSmqegYoKoqmVSyBmU4LTvvwoyiogWDNO3FaKFSRwq5IgazjCkWCqJpaNfIO0NjacIZnJER1+UwpIBKo8aEjkogAkB3JkGor/d66jltR8LC8ZOaYwqqF/j4U4ODhEVZcWNo2mVniVymqCqUMEQA7myHY0HgS70icLSZ/F6pRdB3fP+Z3SFVBkUKc9SIQNFiysoM9T1bPJu5Y3kYgJB/GFjpFU9HC4cqlbdNoofCM4KWYf8FQgM4VHRx8tqvqeOeKdjn+hJhmzgGRgwdrR/rFmaUaBsGWdop9R2eMKao2tfaaUnvC6PIVZPY9W+WJVPRoDOdw6WdrJFMohvyBPJ5UY4Lnv+RS7v35b2eMda5op7FFAiJiYciP59EDejn741iTAZHx4fFyQMRzvfLSF5gKiEzPEPF9n0LPUYZGi7jTbtpPLZmpHhBRAwEUVcWRgMiiZ8TipcBHlazEcHsnVnqkYluwsVmyiuqIETB4+Rt/h7t+cn/VzJ7fffsriESlIO5CpxkBIp1LMQer15yILl021ZVQLBjBUJBX/cENPHDnQ1XHX/2WGwiFJDtLiElzvt2yYsWK8r/Dhw+zZMmSim0rVqxgyZIlHD58+HTOV1DKxgk1NBNsqOxmohgG8TXrUacFNRRFIdjUTLhzacW+qmGQ3LCJXHfp52XEEyTXb0STC87jCkfDvOV9v88FV1QuDVu6upO//dQHaGxJzc/EhDhGIZOvWT8EpgIimZGpu3+u66IdZ8mMNTqCWyzSdTSNMS3YoigKiqJUbbs7Oa6Fw7MulxCLgxoM0nDueajHdKgItbUTSCYq7kgbyQZCTW2oksFYV9qXtvJnH72JUGQqazUQNHj3376NZauXzOPMxIlQg0ES6zdWZoKoKvG162Z0NRQLR+fydt73j39EcFrgIxgK8if/+Ed0ruyYx5kJsfCcVO/Uq6++mt7eXlpbWyu2p9Nprr766jkvmfnc5z7H5z73OQ4dOgTAli1b+PCHP8x1111Xdf+7776bq6++esb2Xbt2sXHjxhN7E3VONQzCnUsJtbaX11srhoGqGzPaIGuBALEVK4l0LsE1i6iahhII4rsO8XUbSstqdB3fdXEKeRRNR1HV0p07pdRebXobzmN5roM/UThNNYxZ9z1bNLU28v5/fhdjI2lGh8aIp2KkGpM0NKfme2pClOUzeYLh2heswUgQTdcqCqt6rlexZCZQzhCZWjKT7zmKFg4zNJRFOyb7RNUUfLd2rQctFMbJSUBksVMUBT0ao3HbBXiWhec6aMEgqhHAc13iazejlHZE0VUUzcApTtTDUlT0Ki3iZ+OaZmlZr6rKHe0zJBQJcekLL2D9OTczPDCC53k0tzXR0JyU2gV1RA8GUZqaaEymyku1FVVF0XW5ibaARWJhrnjJpWy6YAPDE52emtsaaWhOlW90CCFKTiogMlkr5FjDw8NEo9Eqj6hu6dKlfPSjH2Xt2rUAfPWrX+UVr3gFO3bsYMuWLTUft2fPHhKJRPnrlpaWE5j92UPVdND0ypohtfbVdVRdRw+HcYtFzJERsgcP4uTz6NEo8dWrUHSdXHcXsZWryHV3Y44Mo2gakY5OokuWzrgT4Ps+brFA7khXaV9FIdTaRqRjyZzmVO/iqRjxVEzudIkFq5AtEIzU/uChKAqRZJTMtICI67go0zNEQhMBkXwpQ8QpFLBGR4gsWYZlWURi4WOeU8WtkSECpbpF5vAQvutKzaJFTlEUtGAQbVpwwykUMEeGKPT14Nk2RixOfPU6zKEh8j1H8WwLPRojtnwlWjhy3OCGa1mYw8NkDhzALRTQYzESa9cSSCZlCc4ZYAQMWjubae1sPv7OYsHyTIvsoUMU+/sBCLW2Elu1SgIiC1wgYNDW2UJb5+L8nCTEXJ1QQOTVr341ULqI+YM/+AOC0y5iXNflySef5Iorrpjz8914440VX//zP/8zn/vc53jwwQdnDYi0traSSqVOZOpiguvY5I4eJXtgqhWvk80y+uRO4uvWEV+7nuHtj8DEBxrf88h1HcYcHqLxvG0VgQ63WGR05+PlOwY+UOjtwRoZIbVla8VFrhDizCtkCjULqk6KxMOMT1syc2yGiKZpaLpWXjJT6O1B0TQCqRRW0SLZmKh4PlVVZhRVdW2bQm8vdiYNpfv+2LksgUTyubw9cZZxiwWyh/ZjjY2WtxmJJLnuw5gjQ+VtTjbD2DM7SWzYjNbYVO2pgFKHjNzhw2QnslABnEyGkR07SG3ZQri9fVFkNArxXDi5HMPbt+OZU8smC729mENDNF98MfoJ3AgVQoiF6ISuBJLJJMlkEt/3icfj5a+TySTt7e384R/+IbfeeutJTcR1Xb71rW+Ry+W4/PLLZ933/PPPp6Ojg2uuuYa77rrrpF5vsfJMi2yNArnZ/ftLH1Wq3N11cjns8akPTb7nke89UrXTjWsWsdJjp2jGQoiTVcjkCYZnv4MejkcYH0qXvy4FRCozAAOhAMW8ie+6FPp7CTQ0oqgqlmnPKNiqqJUdmJx8gfHdu7DSo+iRGMpEoDS9Z3fNbjRicfJsuyIYgqJgxOMVwZDpcocOTC2jqfZ8llURDJkuvWcPrmVVHRNClDiOQ76/vyIYMsmzbfI9PbiOPQ8zE0KIU+eEMkS+/OUvA7By5Uo+8IEPnNDymFp27tzJ5ZdfTrFYJBaL8YMf/IDNmzdX3bejo4MvfOELXHjhhZimyde+9jWuueYa7r77bq688sqar2GaJua0P+bj4+M19z3beZYFVSq+QynI4dm1T2yFgT6Czc2loomOjTU6UnNfc2iAYFOzFMETs5Jj8/QqZAo0tM/ezSWajNJ/qK/8tet6qFplrNwIGhQLJsWhQXzHIThxV94uWhiBY2qIKAqeV/ob41oWmf17QdOJdnaiaKV9892HcPN5xvc+S3LD4qr/VC/m49i0jnkNLRjEyedr7u+axZrt56G0/KYW33HwLQukKKSoM2f02LQszMHBmsPFoSEiS5aALktnhBD166RyRT/ykY+ckmAIwIYNG3j88cd58MEHede73sVb3vIWnnnmmZr7vuMd7+CCCy7g8ssv57Of/Sw33HADH//4x2d9jZtvvrkim2XZsmWnZO71qFrtl7mOVxZsVWZd/6/o+nFfSwg5Nk+vQrZA8HhLZhKRGUVVj11GEAgFMPNFCn096LEYWjCI7zORIVJ5IaxoCp7r4fuQPXyo9BrTgiEAaiCIFgqR7zmKOUtgVcyf+Tg2jz2n+J533Dozs51njlujRpbLiDp0Jo/NyeKpNcc1bXIVpBBC1K05Xw2cf/75XHDBBXP6dyICgQBr167loosu4uabb+a8887jk5/85Jwff9lll7F3795Z9/nQhz5EOp0u/+vu7j6hOZ5N1EAAtUZtDy0UmvUCMtzRObVvIEC4vbP2vu2dsjZbHJccm6eP7/sUc0UCx1kyE0lEsApWuWiq57kzl8wEDTTfwR4fn8oOsR1836+SIaLieR7myBBOLkuorb0iGAKlblS+76FHo4zv3YtfI2tNzJ/5ODaPrSnjWVapFlWNoIeRSM36YU0LhWqO69GoFFUVdelMHptaKER06dKa49GlS9HDkdP2+kIIcSbMecnMK1/5yvL/i8Uin/3sZ9m8eXO53seDDz7I008/zbvf/e7nNCHf9ytSAY9nx44ddHTM3k87GAxWFIBdzNRQiIZzz2Xksccq1u8rmkbqnHPwPRc9FsfJZioeF12xEi1c2U0i2NiEOTyEPZ6u2B5qbZcTpJgTOTZPH6tg4Xv+8TNEkqVsv/HhNC2R1lINkWMCo0bAoK0xiKJpGPFSEVXLLNVfmFlDRAHfJ9/Tgx5LoFX5W6AYAfzxNOHlS8ke2Ic5NERokXYLW6jm49hUdJ346nVkDkzd5Cj09RJftYbMgX0V+6pGgPiq1WiB2nPUAgEazzuP4cceq1gqqug6DeeeK4W/RV0608emkYgTam2lODBQOY/mJgLS4EAIcRaYc0DkIx/5SPn/b3/723nve9/LP/7jP87Y50Qi1X/1V3/Fddddx7Jly8hkMnzrW9/i7rvv5o477gBKUfCjR49yyy23APCJT3yClStXsmXLFizL4tZbb+W2227jtttum/Nrno18zwNFqZo67Hke+H75A46qqhjxOM2XXUZxcAAnk8VIJAg2N+OYRby8SWrTZjzbKq3dVhQC8QRqKFTRXs3zPBRNJ7FuI24hT3FwAEVVCbW2oQVDJ33nzfd9PNdD06tnqjiOg6qqqKpaavvruDM+kAkhSstlgON2mYkmSgGL8aFxWpa1lmqIHJMhEgwbLOuIEUg1lDO/7EIpIDIjQ0RVaYpp+K5LqKl6BxDVKGWtaAEDPRoj23VYAiICLRDASDXQsPV87GwW3/PQgkH0cISG8y7AHBzAtUwCiRRGIokeDk+c47xSG/pjKKpKIJWi9YorKA4MYGcyBBoaCDY1zWgjX09cx0VV1VLwcZ55rgcKFZ2pPNfDBzRNskTPBno4QmLdOqLLlpHv6wPfJ9LejhYOo0fOnptfpb8lzKihdTZwHAf8mTcwhBAlJ3VkfPe73+XRRx+dsf1Nb3oTF110Ef/7v/87p+fp7+/nzW9+M729vSSTSbZu3codd9zBtddeC0Bvby9dXV3l/S3L4gMf+ABHjx4lHA6zZcsWbr/9dq6//vqTeRt1zy0WscZGMYeHUAIBIh2daKEQqm7gFArY2RzZw134rkd0SSeBhhRGNFK6U+b76KEwejiCGg7j2zZmfz+eY6OqKnokWs4SMWKx8hJRxyziFYvke3rwHJtgUzPBVAOJteuf03uxihaZwTS77nqC8f5Rlp67ipUXrCXekkRRFEb6R3n2sWfZ+cDTpJqTXPo7F9N/dJCHf/Eoa89bywUvPI+m9saKizIhFrNirhQQCUaOs2SmnCFSqiNybNtdgGVLGwiFdAINDeVtkxkiRqAy+GkYGs1JAyOZQqlRaG8yYOqaJqGWFrKHDmJnMxix+FzfnjhL+a6L73pYY2N4pkmwoQE9FAJNR4vE0CNRUBVQFOxMhnxvD26xiJFMEmppLZ0Dp/3+KqqKHokQW7ly/t7UKZIZSnP06cMcePhZog0xNl+zjURrimD0zAd3xofHObq/h4d+/jCKqnD5DZfR3NlE/5FB7v3RAwC84MYrWLKmk2RT4jjPJuqBD4Sam8r/P1sWOubHsgx3D/LMrx4HYPOLttG4vIVoKja/EzsFhvtG6DvYx8O/eASAi19yER2rOmg6TrF1IRabkwqIhMNh7r//ftatW1ex/f777yd0AnddvvSlL806/pWvfKXi6w9+8IN88IMfnPPzn82cQoHRJ3eUusZMKPb1Elu9hkBDE2O79pDvPloeK/T2YSQTtFx6MW4hz8iOHeD7xFauxBsdodDbU97XHBpCC0dIrlvH2DNPUxzoJ9zRSXjJMoq9PeVCieV9gyEat20rXaiezHuxbA49updffubH5TPsoe37eOR79/Oqv38znuLzqT/5TEXhxwd+/Bte+paXEIlHuO2zP+T2r9zBBz79JyxfX3utqxCLSSEzkSESmj1DRDd0gpEg40Pj5QytY++QrVieZHy8SCo0tWzOLE4smTkmQ2T1qmY0VSE4Wyq1qoKqlj7wtrSi6Dr53l6S6yQgspg5hQLW8BDj+6aWzJjDQ6iHD9O47XyKA31YI8OEly7Dsx3Su56p2C/XdZimbRegxs++36PxgTF++Pe3kh2eWs769C93cPkbX8Tma7YRjJy5JRTp4XFu/Zevs3fH1DKmHXc9zqZLNrLpsk1sv2sHANvv2sHmSzby1r9+swRF6phTyJN+ds+MzoKBVIrkxs3oxyynrie5sSx3/fftdO04UN62/8HdLD13Fde8+2VEG+o3KDLcN8y3P/5dnn1s6u/pE/c8ybrz1/L6P/89GiUoIkTZSd1Of9/73se73vUu3vOe93Drrbdy66238p73vIebbrqJ97///ad6juIYnuuQPbi/IhgyKd9zFCebqwiGTLLT47jFAmM7d4Lvo6gqRjJZEQyZ5BbyFIeGCDSW/mAW+nrxHbsiGFLe1yySOXgI1zq5XvS50Ry//txPZ9xuMLMFDm5/lh99/icVwZBJv7jlTi558YUoikIxX+RL//hVxkczM/YTYjEq5ooAxy2qChBNxhgfSuNPtMutSMX3fTraonR1jVQsy7OKVTJEfJ+1q5vI5Oya2SFQ6gyiGgauZaIoCsGGRgr9fRV1jcTi43teRTBkkmdbjO/bS2z1GgDCLa2k9+ye+XjHIb1nN26xeNrneibZRYuHvn1PRTBk0m+//mvyo9kzOp+925+tCIZM2vXw7tKSuY6ppXLPPLybZx+fua+oH1Z6fEYwBMAaG8MaHZ2HGZ06fXuOVARDJh3ZeZCeXV1VHlE/Djx5sCIYMmnvjn3sf3LmexZiMTupgMhf/uVfcsstt7Bjxw7e+9738t73vpcdO3bwla98hb/8y7881XMUx/BtG3N4uOpYuGMJ2cO1/4j7toNnlwIXgYYGzJHqzwNQGOgn2NQMgBGLz96LfrC03OZkDB/uL61DriLanOCp3zxddcz3fbqfPULn6lJR3d6DfWTHzuyFoRALVbmGSGguAZEI6aE07sRxOH3Jge4W0TWVg/uHKh5jmaXjffqaZM21iEQCDI8fvzC2oht4EwW0Aw2N+LaNNVbfF9fiuZnt52+NjoDnoYYjOLk81Aie2ZlxPMc5XVOcF8VMgf0PzgwATTp8BgMOuXSOe35wf83xJ+55kq1XbKnY9uvv3U0+kz/dUxOngVMsUOideYNtUr73KHahcAZndOqYuSJP/nzm8v9JO+94FDNXn+9tfHic3/z0wZrjv/npg4yPzLzRKMRiddLVdV73utfxute97lTORcxRqVh+9dWbiqLg1wgulB47rbOMqs56R9b3vKk7wqqC57mzTko5ydaZzmyZJT7lu9bV2KaNPq0Aa63AihCLTTFbRA/oNQsUTxdJRkkPjOG5pWN8eoaIYRcomC4jQ+P4/lQHVLNYyu7Qjann150C2axFvnD8D6SqYeBkShdkWjiMGgxSGBgot/UVi4/vznKOgVKBcFXFn+1cROV57mwwuZStFrt4cjcjTnYutln79WzLnlG40Sracm6uU77nz36d6JaKGtcj3/dx7drnKtu08dz6rJTiut6s19a2aZVvgAghTjJDRMwvVdfRa6yRNoeHiCyp3YZYDQRK6/cBK50mmGqouW+wsRFroqWuk80SmsgWqSaQagD95OJrLatqz7eQzrFsw7Ka48s3Lqf3UB8AicY40eTJ1TER4mxTzBWO22FmUjQVJT2ULn9oKXeH8H0Mt0i26OH74Ey7eLSKNkZALwdNFc9Dcy0GBrMVLU5rUXVjooCmi6IoBBJJzKFB/JMMrIr6F5jlfKRHY6BqOLnsrMV3tVCoaseZehaIBGnfsKTm+Ipta87YXCLxCOdfva3m+MaLN7Dvyf0V2y659kIiibOnG8liogQCBJtrdwALNTejBuuzY1MwGmLdFZtrjq9/3hZCsfqsjxJvjHHO88+pOX7uC84lXsf1UYQ41eYcEGlsbGRoqJQy3dDQQGNjY81/4vRSDYPEmnVTt2qnUXSdYGMDRmLmBaNqGGjBIPE1pYsnz7LwPa9qcEXRNKJLlmIOlvrOa+EwWihU0WVi6olV4mvWogdPrqhbJBXlnJdcMHMOikLb6nZe+95XV73LvfmyTRw9cLScuv+GP/s9KdwmxIRitkhwDstlAGKpGIVMoVx3ZLK1ruZaKPgUJm40TRZShVKXmen1QzSn9Nih0TzeLFldk5TJTjNWadmMkUzh2Tb2uKTxLlaKoRNqba0yoJBYtw5ztLTE087nCHdWDxAk1q4/q1qBAoRiYV7wBy9BrXIeXHnhWuItZ+68p2oqF197IYkq59qmjkbaV7Vz8JnD5W0NrSkuetEF0gGuTum6Tniie9Ox1ECQcHsHmnb8LMSFSFEUVl+6gVjzzN/laGOctZdvWhCtrU+GrutccPU2Uq2pGWOplhQXXL0N/SRvYgpxNprz0fCf//mfxCc+OP/nf/5nRXE9cebp0ShN519I9vAhrPQYqmEQWbKMYFMTWiBIy6UXk+vqJtvVje96hDvaSK5dgxYOE25vR49GyR48SK6ri8SG9TjZLPmeo3iuS7CxieiSpWQOH0DRDaLLVhBqbUMLBklu2ERxcKC0r20TTDUQW7kK7TlUGQ9GQ1z0mufTsWEZ23/4G3KjWdrWdnDJ666kYUkzKAp/9vn38fOv/B/7nzxALBnlyle9gEgqyq0f+zYbLljHK//wRjpXdchFlxATivkixhwKqgLl9oJjA2PAVA0Rwy3ioeIqpVOFXbRh4trRKtoVHWYMp4inGnieP6clC+pE0VXPsiAcQY9GUTQNc3iIQDI5p3mLs4sRjhBfvYZAqoF8Tw++66CHI8RWrULRDYoH9qPoOubgAPHVawkkEuS6u3HNIkY8TnzlarSzLBgyqXFZC79781t59Lb7OPJUF6F4mPOuv4TVF68jnDizmZGN7Y38yX/9Mfd9/z62/2oHiqpwyUsv5tLrLuGRXz5avjFx6Usv4epXv0BafNY5PRKh8bzzyR09Uqpfp0CwoZHo0mV1H3yMNyd51UfexNO/fIzd9z4Fvs/655/DOS+9kHhLfZ+HWpa0cNPH38l9P3qAx+9+AnyfbS/cxgte+TxaltTO+hFiMZpzQOQtb3lL+f9/8Ad/cDrmIk6Aomro0RiJ9RtL664VBS0w9eHHiEZIbFhHdPkywEcNBNAm7siqoRCKopDcuAHPNFEDAUKtbQQam0q1QHQdVddJbSilEqqBQDkApofDRJYuI9TSiu/7qLpe8bonK5KMsu55m1l6zgpc18UIBghGp+5IdK7u5I1/+XqK+SKqquF7HumxDO/52B8RDAcIx8KEo8dP2zRNk9GBNAPdA5gFk85VHcRSMZKNklkizi7FbJFAsHanl+lixwZEtInj3Sniaga6UfratiozRCZrBSiug+o7mHoURVHntu56svXuxHMqioIRT2CODBNffeaWAIiFRQuFCTU1o0ej+LaNFo6gBYOohkHDueeB76FopXOUHomUltn4PoqmoQWDOMUi5tgYrmmih8NowRBa8Lmfo+abpmtEG2Jc+vqr2ZYromkqoWSUUPzUfiAt5ItkRjL0HupDD+i0LWsl2ZSo7CYFNLU38rJ33MDVr3shUPoboukaL3nDi7nihsvxfZ94KoZpWvR19dNzqA/P81iyqoN4KkYsKen69UQxDKJLlhKcyALXwhGUsyTDIJSIsOUlF7L6sk3gQygZmdP1ZD0IRkO84FXP58IXXwj4RBIRgqEz16JbiHpxUn/N3vjGN/LCF76Qq666ivXr15/qOYkToOp6zdodqqqiRmdeLDmFAmPP7MTNT1V91yNRoitXMbzjCXzbJrpiOYk1a9CqLINRVRX1NPWdD89SAyQUCRGKhOjef5Sb3/cJBnqmul6sO2c17/+Xd9I6S9S7mC+ye/uzfOHvv0wxX0rTVxSFK1/xPG58y3U0ttVevy5EvSlkT6CGSDKKoiikB8cAUBQVxXPRfAdbDTPZQdeaVrzRKloYE0FW3TXxUfBUHUVlTu1zFUVB1Q08a6ojjRFPkOs+jGdZpXpHYlHxfR8nl2XsqSfL3dAAAo1NJNaur3o+0qedi+xslqFHt+NO63oRaGig8bytFfvVo9xolnu+eie773uqvC0UC/PKv/p92td2omrPPTsym87yy+/dw0++/LNyMXMjYPD2v30LW6/YQvCYvye6oZNsTs7YlprYNj46zva7n+Cbn/huuf6Qpqm8/O038PwbLqehOfWc5yxOP9c0KQ4Nkj24f6o+lKIQW7GKYGvbSS+XXgjMfJHd9z/NXV+6A8+Z6LKmq1z1By9h05XnEqrjwMjIwCiP/noH3/3sD3CdUiFqTdd47btewUXXXEBTq2RuCTHppM6gsViMf//3f2fjxo10dnby+te/ns9//vPs3l27LZxYGFzLIr3r6YpgCICTz5Hr7iK+ciUAucNdFGdpsztfBnsG+eiffrIiGAKw96kD/O/Hv8H4aKbmY4f7RvjMX32hHAyB0gX4PT+8nycffKrm44SoR8VckUBobhkiqqaWCqsOpstf627pOHFUo7w0Znp3iVKGSGntuO6YuKoOioKiKHhzLIyq6DrutKwTY2JZpintdxclzzQZ3flERTAEwBoZJne0e9YuNE6xOCMYAmCNjjK2a/eM56wnnuux85c7KoIhAMVsge/9/a1khk9N3Z39Tx3kx1+6vaKzm23ZfP7DX2Kod/iEn2/w6DBf+9g3K4oxu67HD/77Jxzd33NK5ixOP7dYIHtgX2WxbN8ne+gAbqG+2ymPHB3mV//9s3IwBMBzPO76nzsY6V5418AnYvDoEN/61PfKwRAA13H59n99n8EjQ7M8UojF56QCIv/93//N7t276enp4T/+4z9IJpN88pOfZMuWLXR01O4YIuafZ1s4uWzVMSczTiA5tXRkfN9+HNOsuu98GRlM03+k+klq+31PzBoQefhX22u2Gbvj1l8y1CMnCHH2KOYKBE4gNTbWECM9OEZjNEyhZxjdNXEVDRS1vDTGMqeCF/ZEDRHFc1F9B1crZXQoioo/x1aFqm7gTwuIqIEAajCINSoBkcXIzmXxneptMAu9PbizBDXcYnFGMGRSsb+/IvBWb3KjWR776YNVxxzTpmd393N+jWw6y4//92dVx3zf5+4f3o97vLbI0xTyRe78zq9rjt/x9TsZH5UCyguda9vkjx6pOZ4/0l23x5Zt2jz6w9/UHH/4B7/BKtbne8uMZvi/b/2y5vj/fetXZGa5XhZisXlOOZbxeJyGhgYaGhpIpVLouk57e/upmps4DWa7wwZUFEN0i0WYQ7eIM2lsKF1zzPd9ivlizfGBGoEUKKUWzqUzhhD1wsyZGHPsMgMQa4iT6R9jfXsTI08cRLUKuOrEkpiJTJAZGSK6juaY+ICnlvZRVPDmsGQGShkinm1VtNo1YnHM0ZE5z1ucPdxi7b/feF7pX63h4wTvj3fuW8hc16WYrf29Ge058eyNYzmWw8hA7UBkX3c/jj3376FZMBnuq30cD/ePVnStEguT77q4sxxbrlmc0xLJhcixbNL9YzXHxwfGcMz6zCwrFkyG+2ofzyN9IxQLC+uGpxDz6aQCIn/xF3/BZZddRnNzM3/zN3+DZVl86EMfor+/nx07dpzqOYpTSDVmT6FXlKlfCSMeRzkF65JPpdYlzTXHjIBOdJYCc2vPXV1zbNnaJRiBs6NAmBCTwcG5LpkBiDfE8TIFHM8jkgyhq345IKIoKpquYVnTAyKlDBHdNfFUoxQJAdQTWTIz8fdo+nIGPRbDLRRmvQgXZycjVrvQpmoYs56PZut0pqhqqd5WndIDOokq7TMnta+v3oL4RAQjQVasX1ZzfMN5a+dcpBkgEouwYuPymuPLNywjWqXGmVhYVF1Hn+W4NKKxuj22jFCAjlmOnfZ1nXOuw7XQRBMRVmyofTyv2LCcaEKOPyEmndSn3Y997GMcPHiQj3zkI9xyyy38+7//Oy9/+ctJpVKneHriVFMNg2Bz9cKjweYWCtPqhiQ3bjglHWROpWRDgs0XbKg69tLXvmjWIm1bLt1MtEZ7wlf94Y00tEpRVXF2sIoWvuef0MVcojlBQIFc0aJ5VSnwOBkQATACWkWGiG3aBIM6qmeX6odMUhS8GkvTjjV5Ie1NryMSK9URscbG5jx3cXbQQuGagY3o8pWogdq/z1ooRKCh+t/w2MoVqKH6LY4Ya4jz/DdeXXUs3pygZXnbc36NcDTMK97+snJHuemC4SCXXHtR1bFaAkGDq191ZUVr7kmqpnL9m64lIh/IFjxV14l0LoFqP3tFIbJ0Wd0GRHRD5/wbLkHTtRljqqZy4csvq/r7Ww8isQjXvu7qqu9N0zWu/b2ricTk+BNi0kkFRHbs2MFf//Vf8/DDD3PllVfS3t7O7/3e7/G5z32OXbt2neo5ilNI1Q3iq9cSamufOsEpCqG2dgKpRnJd3aiBAI3nnUcgsfBa0Ta2NfCev/v/uOyai1DV0vwDQYMb3/hSXvbGl85aEbx1STN//qn3VkTNE40J3v63/49l65ee9rkLcaaYuVJ6feCElszECBo6RduhoT1GIWtW1NDTdR3HmqrvYJk2jakwCpQyRCYoqgLMMUNEmwiI2NPqiBhGqY5IemzOcxdnBy0YJHXO1lIr3QmKphFbtZpQc8usH8i1QIDGbecRapsKDiiqSnz1KmIrV6KqCyvb8UStOG8N1/zh9YRiU+e4pZuX89q/ezPx5lNzru5c2c57P/YuGlpS5W1LVnfwl599P83tTSf8fM2djfzZJ/6Y9uWtU9s6mnjvv72Lls7aHeHEwqIFw6TO2VoRrNRCIVKbz0UN1m+gESDZ2sBr/+5NpDqmOq4k2xp47UfeRLLOb5I1tTfx/v+4qaL7YuuSFt7/7zfRdBLHsxBnM8X355jbPIsnnniCT3ziE9x66614nndChbfmw/j4OMlkknQ6TWIBfuifznNdfNvG971S2m8gWL4o9H0fz7LwXQdUFUXVSqnnnoeiqajBEKo2MzoM4Dk2nmXju07pQ4mmlV7H81ENHS0UOqG7QSfD93wyIxnsYqlbRSQVw5hjSm52LEt6NEOxYBKNhwlHQhSzRTzXIxwPo+sahWwRTdeIJqMEI1N3Fkf6R8llcji2SzQRIRgOksvk0TSVaDyKVbQwiyaBYIBoPEwxU8RzXQLhILHGePl5XNdldHAMs2hhBAxSzUkCgbmnFIuZ6unYXMj6D/fz6Xd+khvedSNtK+d293i0e4Cnvnc/3cNp3nDTVeRGcqit7QQnsqru/OavWbVlBVe/5kp8Hz7+3k/xit+9lIZECDM0dVw8+/g+MqMZrnvTS+f0uvnuQwQamwm3TdWfynYdxjOLtFxy2Qm8a3E6nclj0ykWS+c1zyudnwwD/TjLPSd5to07cW5TdR01FFrwwRDf98lOnAs1QyeSjKIHdHKj2dI2XSOciKAZOtnRDGauiG7ohBMRQrHqGTWDPUMU8qVzYCIZI94Qr7pfdjRDMVdE1VTC8QjhWJjRwTFy43lUTSGWiJForP7Ywd5hCrkCChCOhWsGTQZ7hshnC/i+TyQeobWz9tJXceLO1LHpFPKlWjx+KVCpR86eDIOx/lHsooXvl24kpNrrOxgyXf+RAYq5Ij4QjoZoW9p63McIsdicdC7Yjh07uPvuu7n77ru57777GB8fZ9u2bVx9dfW0TnHiXNMkd6SL4mA/+D6KbhBbvoJgYzMoCtboCJkD+/EsE1AINjURautgdOdO8H1iK1cS7uhAPyZV2LUsigO9FPt78T0PRdMItXUSbmlDPUNLZAqZPHsf3sN9X/sVubEcqq6y5aqtPP/1V8/pblcsFSOWiuF5Hv2H+vn6P3+D/U8cAKBtRRvXve2l7Pi/7ex7bC8bL93IdX94Aw3tpTsAjW0NNLY1UCyY7Nu5ny/969fp6+pHURTOvWwzL3vjS/jav32LzFiWq17+PLZsXccvP/sT4s1Jrn7bS1m6ZQVF0+L+n/+W7/7Pj8mmcwSCBi9+1VW88g+up7Hl7DmRivp0Mhkidq5Us8NXIRzW6B8tEIoUygER3dCxzVKGiOu6eL5HMqLjaZWnEUVROJEwu6IbFRkiUFqXnhsZxnOcuk3HFifHKeTJHj6EOTQIvo8aCBBdvhJSDeiz1AmZpBrGcWtlLSTFTIED25/lvq/9mtxYFlVXufadL8MwdH77jbvIjWRQNZXVl27k8jdcTaI5Cc3Jms+XGcvw7JP7+d9//wb9RwZRFIXzrziXP/iz36dzxVQXQNu0OfLsEX7yXz9kcKK96Jpta3nZTTfSvLSlIkvkWIV8ge59R/nKx77Jwd2HAVh7zmre+udvYNmaJTNubLRIAKSuOY6DX8gzvn8vTqbUmUSPxYmvWYsaCqHPspRtobNNm6GuAe78ws/o21tqBd2+tpMXv+M6mpa3EKzTGiIAhVyBowd7+fLHvsGBZw4BsHrzSt7652+gY2UH0RrBVCEWo5O6bdLQ0MAll1zC17/+ddatW8ctt9zCyMgIjz76KB/72MdO9RwXJc+yGN+3h+JAX7n3u+/YZA7sw0yPYo2Nkt79zEQwBMDHHB4ic3AfyfXr8R2HzL595I8cqShY6LkO+aNdFHqPliuD+65LoaebfO8RvDOQ3eN7Pnsf3M0d//VjcmO50rwcj52/epwfffy75MaqtwWuZqRnmM/92efLwRAo3R2/5e9v5ZIbLyMQCrDrt7v48oe+RPqYDjVH9h/lX97zn/R19Zfm5fs8+dun+dzf/S+v++NXYxZMfvHtX/Obu7az9XcuYnxgjB999NuM9Azxqx/ew5f//Ztk06X5W6bNz771S77wL7eQSc99/kKcDsWTCIgURjJ4vk9rewJFUciPm1jTOltouoYzUVTVtmwaUlF0XamsH0Jpycxcu8zARKeZY9o26tFSEMZO1+4qJc4+TiFPetczmIMD5fOeZ1lk9j2LlR7DqdGSt175vs+Bx/ZOnAtL542mZa14tssvP/1jciOlD5+e67HvN89w+79957jnx8N7j3Dz+z9Zbk/v+z6PPfAk//Duj9N/ZKC832D3AF/+y/8pB0MA9j++j//5wBcY7Z+97fVQzzD/9K6Pl4MhAPueOsA/vutjDEj7+rOPZTL65BPlYAiAk80wuvMJ/FlaYdeD9MAY3/qbr5aDIQB9+3r41t9+lcxgfZ9/hvtH+ad3fbwcDAE48Mwh/vGdH2ekXzq5CTHdSQVEvva1rzE8PMyjjz7Kxz/+cV72spdVTdM7cuTICV0YiymubWGPV/9j7Dsu2YMHqo55hUJpuczEHbLc4cMVHzZ828YcGqj62OJg/xk5uWVHxrn31l9VHevZfYTM0Picn+upB54mN56fsd3zPB748W8470XbABjtG6Vv/9QJLzue4xufvo1qK8ZGh9L0Hx2kc2Uphf/hX21nyTkryuNjw2m+/7+3V53Po/c+zthwfZ9ERf0rB0TCc79TXhjL4msqbZ0pPN/HdsHKTXV60Q0Ne6KGiG3aLFmSwvfBOyYgoioK/gm0sFarBETUYBBF16WOyCLjmiZOrvoH/tzhQ2CfXW1asyMZ7r/11xXbtl57Po//5MGq+490DZKepZXm6MAoX//096qODfWNsPep0nVDMVfkl7fcWfU4zaVz7Nu+t+Zr5DN5fvbNO8t/C6Yr5k3u+tF9mObZ9XNazFzbJt/bg+9VuVnmeeR7js74+10vzILJ43c8WlEsfJJjOTx2+8OY+cI8zOy5y2Vy/OJ7d1VtbW2ZFnd+7y5ymdw8zEyIhemkAiK1AiDH2rx5M4cOHTqZl1j0nPzMD/mTVF3HLdb+I23nsmgTazt9z8ObdlfNmy3g4ft4zukPiFhFi3y69vsbONg/p+cxCyZ7H99Xc7xrdzcty6bWSh54fCqIZBZM9j1VPagEsP/pg3SuKqUX+75PPldAnWj5WCxYFPPFmo+dvDMnxHwx80UURUGfY02b4a4BRrsGUQyd1o4Elg160MCedjGo6Rp2OUPEoXNJA5bLzO4Diorvn0iGiIHv2BXBSUVR0CMRrBpBYXF2sqfdgT6WZ5n4c+xeVC/sok12pPI9R5LRWe9M9+89WnPMsmz2PX2w5vjOh58BSue/7l1dNffb++geXKd6tmhmPMezT9Y+d+5+fC/ZE8jyFAub79jY47VvUtnj42cks/h0KGYKHN3dXXP86O5uCpna13oLWTadY+8Tta+Pn31yP9lZrsOFWGxOa6WxU1CvddHSZlsD7fsoavViqaXHBioCH8q0wqpKjSKr5fFZnvdU0Qy9HFyoJtZUvYDbsXRDJznLWup4Q5xCbuoD3fQiWaqmkmqq/dhUc7Ii8yQYCpZbiQaOU/g1noodd+5CnE7FnIkRCsypMHIxW+DBb9yNlS/i2Q7N7QmKRRctaGDlp+4u6fpUhohj2nS0J7G9mcexqoLnzv1vvzLZeveYYK0eiWKPj8t5ZBHRgrOs11fUiQ5GZw/N0Ga0xfRdb9ZWn7HG2jejFEUhWaMAKlAueqppWs0iqwAN7Y1V23VC6fyXaqo9h4bmJIHgmalFJs4AVZu1tpwWCNTtcakHDaKzXK9FG2IYdVooPxgKzHp9nGpKEAjV53sT4nRY2KXXFzEtHC5/UDiWY5mEOjqqjqGoaOEw7kSGSaChoeJ5FN1AC1UvpKRFoqjG6S9gGElG2fj8LVXHgtEgTUvnVoBN0zWueNnlNccvu/4Sdt79JFAKgKy/eEN5LNWU5OX/73eqPk5RFLZeuoU9j5fShluXtlCYdsfL0DTOu/ycqo9taE7R3NZYdUyIM6WYK865fkjX4wfwfR9VUcDzSKTCZMaL6MEATmFqyYxmTGWIuMU8RkDDUWZ+aCoVVT2xJTNA1Toivuvi5CWtd7EwYvGaQflQayvoZ9cFfCQZZdNV51Zs2/vQHtY+b3PV/TVDp21dZ83na2pv5Ibfv7bqmKoqXP7ii4FSi+0X/O5VNZ/ngpdcWHOsoTnF9W+o/hoAv/P7L5abAmcRPRgk0rmk5nhkyVK0Om29G01GuejGS2uOX3TjZUQb6vN3OdWc4rrff3HN8etefy0NzakzNyEhFjgJiCxQaiBIatM5MzI69EiUcHML0SXLMJKpYx6kkli3geyhUqEzLRIhuWlTRZcZLRAgvnYDqlH5YUkNBEmsWT9j++kQCAW48s3X0L628sIuEA7wux9+E/FZ7j4dK9WW4tV//MoZdygufPEF6JrGYNcAmqHxhr99E4lp3WsUReGiF17A8156ScXjNE3jLX/2en57x8N4rkeqOclb//z17PjxQwCsumANneuW8Ed/9RaWrKwMSsVTMf76v95PY533rhcL04E7H+a3H7uV4ljtZQWTzPzcAyJ9e46QaksBEG8sLbUbHcqiBXU8x8O1S1khpaKqpf/7ZhHHdvEUlQd/9SgP3fXYVD2CEy2qOtGlxj+mPoQemSisOku6tjjL6BrJLefMCIro8TjRZSvQz1AXtDPFCBpc/ntX0b5+6gPn3gd3sfLCdXRsXFqxrx40eNmHXkd0lgwQTdN4wfWXc/FV2yofq2u875//qKID2rqL1nP+tRdU7KeqKq/609eQOs45bMX6pTOCIoqi8No/fDnty6Sl59lGC4eJLlsxY3t4ydK6b73btKSZy3/3BXBMksulr3oeTcta5mdSp0jH8jZe8QfXV2SKKorCy99yHR0r2md5pBCLj+KfxnzkeDzOE088werVq0/XS5yUM9Wz/bnyfR/PMnHyeVzTRI9G0YIhtImLQtey8EwTOzOOGgigR6K4ZhF7PIMRi6FFoyiqWmpdaBj4nltKS1c1FAXcYgG3WEQLhdFCIbQz3DotN5YlPTBG/4E+Ek0Jmle0Em9KzLqcppr8eJ5irsjo4FgpiNGawnNcup4+TCQRoXNtJ/HGREUa8kj/CJ7roYcMMqNZnn1yP5FYiJXrl6PrGlbBQjN0jKDBeO8ImcE07euWEGuME0mWPqiNDo3Rf3SQrr1HaF3SzNJVnTS1Nc5pmYKorl6OzTPNNW0e+OhX8V2P5Vedz6prLp51/+997Dv0H+zj+ne+bNb9HNPmZx/7Lss2LSfbNUDnljY2X7iEe3+xlzXnraLviYOsvfZ8AvEIzzy8i8O7uvjDf3obvY8/ydjAKDmCPP7bnQBccvWFNLam6H72CAd3d/Had71yzu8v332IYFMzodbKi7T07mcINjaR3LBxzs8lTo/TeWy6tg2eh2IYpTpWjoudy+JZJkYsgRow0MP1/cFrNrmxLGa2QH48jx4wiKSipSVqpo2ZN1F1jVAsRDgeqbmUZbqRgVEK+SJjQ2l0XaOxNUU0GSMSrcwOLWTyZEYydO3qIhAKsHTDUmINcTRDIz+eR1EUYjWyPUb7R8ll8+x5Yh+qqrJu6xqi8Qip5mS5hkg0GUVV5b7b6XYmzptOsYjvutjjY+CDkUyiqhraHFphL3SZkXEcyyU7XAq+x5sSqIZG4gRuzi1UQ73DmEWTvTtLmaDrt64lGA7S3C6ZzEJMd1rXR8gHw+dGUZRSAKRKOqLvefiOQ76vByeXR1FVwh0dBJIpgg2NuMUixaEhckeOTGSFrKHQ34c5PIyqG0SWLCXQkCKQSJ35NzYhmooRTcXoXL/0+DvPwrJsdm3fwz3fvx/HdrjwRedz2XWXcPH1l8zYd7hnmF3bn+XuH96HmTfZesUWrnzF87nmVVeSTWcZ6Rnh19+5m4GuQRo7GnnB666iaVkLq85fO+O5GppTNDSn2Hjeuuc0fyGOJ93dj+96hBrijB3ogWtm37+YK2JMrA/2HJfcwBixjpnBurHekdLFbVBHURVSzVGy6QL5TL5cLNUuWgQmPog5jovv+xi+w8hwlgJFjGAAPI+RgREaW1MomlK9I8EsSq13ZxZ01iJRKax6FnMtCyudJtd1GM+2CDY0Elm2HCebxUyPoqoadq6PaOcSXNuevbZWnXIdFztv8tQd2+l5potIKsrFv3slgViI7T9+kCO7uggnIlzwskvpWL+ExCx1AWDiRorj8tDPHubJB54mHA3yote9kA3nr4NjAiLheIRwPELrirbytpG+ER75v0d57K4d6IbO815xBVsu2zyjHoGqqhzcsZ+jTxxEUSCkaGy4ZCP3/PB+7v7+fQA87/rLuPCa8yVr8mzgeRSHBvFsGwUF17QIt7Ud/3F1wLUc9v5mF7vuLQX3N75gCxueV31Zd93xfPY+tIeuZ0pFlJWCw7lXnnucBwmx+JzWgIgUwzt9nHye4e2P4E9LTTeHhwh3dBJbsZLRp57CHhtD0TQS69Yx8sTj+BPdZlwKpTuvTc0k1m+oWFJTb9JDab70ka+wf+dUZf3bv3wH9//kt3zgM39CU8dUFHyoZ5hbP/ZNnnlkT3nbnd8e4Ld3PMxf/c8H6H22h+/+67fLv7cjPcPs276Xl930cra+8DzCsfq/EyLqU65vGNXQaVizhP4n9uF7/qyF7KbXEOm6/ymGd3ex7Pnn0HrOqor90n0jqLqG4oEWNEg1RciM5lHwKWRLBYmdibZ9k0tmnEIBRYGRkRyOphGNh/E9n/Ro6a6wgsqJdltXNB2vSktVPRIhPzqC77rHLQgt6otr22QO7qfQM9UO3ViVItfdRaGnspNKobeHpm0XoCVnDwbUo5GuAX78D1/HtUtBRNssdTH77j/cWl6iNtY7wu17jrDlRdu44vevmnVZ6eCRIf7tnf9ZCmpO+PI/fI2tzzuHN37w92YtpjrSP8In3/tp0kNTQcjv/Mf3WLl5BW/9+7eQnChEnh4c43//4n8Y6R0p7/fsI8+y/Y5HuOJ1V9FzsBeA737mB9z3k9/wvk/cJEGROubk84zufHJGPadCfy+NW7fV9bKZsb4Rfnjztxk5MlTe9sA37uaZu3fyqr/+fVJ1nEkx1DPEN/7+awx2T3U+3PvIHp741eO88e/eTPOSudXrE2IxOK25jM888wwrVsxcdyieG9e2Gd+7pyIYMskcGcbOZLDHxgAId3SQP3qkHAyp2Hd4aNb2vfWga093RTBkUnoozb0/egDHnrpTPXBkoCIYMimbzjHSO8JPP/vjqkG8//ufn5OTNoJiHuUGRwklY4RScTzbwRyf/fexlCESwHNcRveVPlwO75nZXnB8IE0kFcUumhhBg2giSC5dJBAMkB5Ko2oKbrGUuaEbGq7rYWcy+D6MZ4vkMjnC0TChSIjsxJwUlYm2uyfWaaZ6QCQKvo+dlePvbOOZZkUwBFVFD0dmBENKO3uM730Wp1Df56tjFcbz3Pel/ysHQwA2vvA8Hrrt/nIwZLqnf/34rC3rzYLJT7/884pgyKQnH3iKwaNDVR5V4jouD/z4txXBkEmHnjlM1+4jAHiex1P3PVURDJnUf6ifzFCapWunaqL0dfXz5P1PyQ2yOmYOD1ctbu0WChQGB3CqXF/Wi4Pb91YEQyaN9gyz76E9uHXaUhhgz4O7K4Ihk4aODLL7wV3zMCMhFq45Z4i8+tWvnvOTfv/73wdg2bJlJz4jcVy+42BNBDyOFUilKi4ygw0NjO1+puZzFQcHCKbq886NYzvc/9Pf1hx/5M5Hufq1V5KaSPV96M5Ha+5r5k3y49UvNG3TZnwkQ/PS+i6wJepXYThNIBEhmCjVrymMjBNK1b7Ta05kiOQGRvEcl+SKNtJd/Xi2U9FJKjM4RjgRxc6bxJuiqKpCdrxAKBJkpHeU1oY4tlkKiKgTGRp2JoPlgKqo5PIFguEgeD4DPYP4rl9eluN5Huoc23iruo5j2/i+X7GsRwuFQFGwM+MEzsLsgMXMHBmu+DrY0Ig1Nlpzfzszjl/HH06qsfJFhg71V2xrXN7Cfd+6u+ZjDj+xn7bV1Qsi5jMFdtz9RM3HPvrLx1h9TJbYpGw6x/ZfPVbzsQ/+7EE2Xrweq2Cx487a+z370G42XbSBI/umAlsP3P5bLrrmAmIT9bdE/XAKBQoD/TXHiwP9hFpaoUZXxIVsfCjN7vuerjm++/6nWH/5JhKtqTM3qVNkuG+Ynfc8WXP8qXufZPPzttBYxxkwQpxKc/4LlpSL0frgU177Pzd1XOdFUdBmSaNXVbXiWzHbvserd6POsjxBiNOtOJohtaoTY2LZVnF09k4zxXyptkduYAxFU0ksayF9uJ/CaJboxMWd7/tkhzN0bmqgcGSQWGMTAJl0kVAigjvq4OPjmlNLZgDcQo6C7ZaX7ITCQTzXw/d8ikUTRVEnnn/u70/RDPB9fNdBmdZaVZnIGrDGx5GPUmcZ5ZgE1WOCYYtCtferKKXTco3j53hFSlVVxaV64EjVaz9WOc5zq5qKoigoCqha7Z+Tqqr4bmX2aumxs05bLFQKs15TKopygtecC4eiMOvSU1VV6/a9qYo663Wroqp1ffkvxKk254DIl7/85dM5D3ECVMMg2NSEOTw8Y8waGyW5YRPFgQEAisPDBJtbMAcHqj5XuLV+i2LpusYLXvk8Hr+3ehT88hsuq6iQf9lLL66ZUWKEAsQb42RGZn7QDEaCNSvtC3G6+a6HlS0QiIVRNQ09EsRM115C4vs+Zt4kEDIoDI0TTEYJxktrvIujmXJAxCqYOKZNMB4iU7SIJUKYpoNtuQRcn0g8ilW0cSaWzGi6RjwexHddikW3/OE1EDTwPJ9EPIxuFUmEVQxDLy3pm2PdD2Xi7qJn2ah6ZeFMLRLBlsKqZ51gYyPT/9qaI8PEV6+puX8gmTrr6sgEoyHaNiyhf89UNsXAvqMsP3cVXU/OXAoKsGJb7a590WSEi6+9kN/c/mDV8YuvvbDmY2OpGJdddwk/+/IdVcefd+MV6IaObuhcfP0l/Pi/flR1v41XbOaOb/+6YttVr3w+0YSENOuRHgoTbu/ATo9VHQ+3d2DUaaeZeFOSLS/aRs+eI1XHt1x9HomW+rwZ3NDWwLYXX0D37plLZQHOf/EFNLZJdogQk6QfWh1SdZ3EmnXlDxHThTs60WNRgi2l5R3Fvj4iHZ2oE616K/Zt70ANntlWu6faktUdnPu8c2Zsb13awuXXXVKRFdLU3sTF11wwY9/GtgaalzTzyve9ekbLX0VVeMV7X0W8sfbyBCFOJytXAN/HiJSKHxuRMGaVGgGTbNPG93wCoQCFkXGCsTCqrqGHApjTloXlJ4qgGoFSACISD1DI23iU2vE2LW3CsmwKE4/RdI2WllIxx1zBLt9dCgQMWpNBXnTVJmKGR0NU5aoXbMDJz73egzoZEKlRWNUtFPDqeJ26mEkLBIiuWFmxzRpPEztmG5QCZvF169Dr9INXLaFYmBe89aUY4anz87P37OTil19OMDqz2PnFr7yC8CzLTgLBAL/z/66d0REG4Hkvu4ymWT4AqZrKxS+9mNZlM5eGbr50E51rOstfr79kIx1rO2fst2zTcvSQQX/31A2YlZtXsPliaZtdz4KpFEaVdr56LE5wIrOwXi07ZyXt62b+Lret6WDFttoB2nqw5vy1LKnSxXHJ+iWsqdI5UYjF7KQX/X3ve9/jO9/5Dl1dXVhW5UXsY4/VXl8qTg0tEqH5oksoDEy00jUCRJctR49E0AIBUps2YS9Zgjk0hDU6SuPW8zBHRikOD6LqOpElS9GjsbruMAOQaEzwhg+8jq4bL+fu2+7FtmwufeklbLl0I6mWVMW+TR2NvPpdL+eSay9i1/Y9eI5Hx8p2zrl0E03tjYSjId71Xzfx0E8epP9QP81Lm7n0xstJtiQJRur7+yTql5kpFbPTwxMBkXAQKzOzwN2kYq5Y2i9okE7niE2sETYiQczxqcflx0r/1yaCgOGozshQDp9SG8JIIkI2ZGDliziWhaaptLTG8FUN2y6lxOu6TiqkEgvAoa5h1HCYSCREwLUIDPYRiIRQjZnB2BkmUpNrBUSgVEMi2CB3tM4WqmEQXbaMUGMT5nh6YpmIT7i9g0BDI+bQIJ7voQWChFpaUev8XFVLw5JmXvMvb6X7iQOl4qq+R7Qhyus/+jZ237uTricPEklF2XbdxTR2Nh03W7G5o4k//+yfsOexZ8lnCvi+z9K1S1iydslxH9vQmuJdH38nex7dw8P/9yi6oXPlq5/P8g3LSEy7KZBsTvKmj7yZw08f4tBTh0BRWHPeGtrXdHBodxcbLlgPvs+Vr3wea7eumXEuFvVFj0RIbdqCNZ7GMy1QQNENgqlUXXeYAUi1N3D9+15F/75ePN8HSh3c2td0kmqvz/p6k5o6m3jtX7yOo/uOoEysYvMVWLpuGU2d9R3IEuJUO6mAyKc+9Sn++q//mre85S386Ec/4q1vfSv79+/nkUce4aabbprz83zuc5/jc5/7HIcOHQJgy5YtfPjDH+a6666r+Zh77rmHP/3TP+Xpp5+ms7OTD37wg7zzne88mbexILmWhVvMY2cypeBGKIydGcctFjDiSfRIFC0YRFEU9HCY2PKVRJcsA0UpFz0EQAEtHEaLhvEn1vcHW1sIpJKgaiiahjU6Sj6bxUgkMBIJtFDouGu4bdMiN5ql+/ED5NM5lm1dRaqjkcjEhVZmYIyRrgGGDvTQsm4pybYG+nZ3kxvJ0LF5OcmOJiINpX1H+0boP9TPoacO0tDWwOptaxnrHab32aMs2biMVHsjzz60i2LeZP0lG4g3JUhUufOVbEpw7hVbWH/+WjzPpzCeZ6BrgAd+cD+RRJRNl21CUeDwg3tYcfF62pa2MHp0mGKuyMr1y3Acl9u/cgfBUJBzrtjMtW99KbZpE4wECU0LhIyPZhjsHWLH/U+SbEpwzsWb6TnYy4FnDtGxoo0N29bR2NpQrrVQi2XZDPYP89iDT3C0u4+rX/I8DF1n+/1P4HkeF195Ac3tjSRmKZopFg8rU8q0MCKlbC49HMSaJUNkMiCiUlpuM1l3RA8HsbJTWRuFdA7N0PAdF1VTCQRU8rlSYVM8H9dxiTbGKQ6Os/eRvXRuXEpLaxxf0XEdF9+HpUsbiQUga0P/UIbmNgM/ovDs3n4uumQ1xYEBIktm3qE6lqIoE51m7BljajAEqoqdyUhA5KyjoAYD6AEDz7YxYjFQVbRgAD0WxbUsAokkiqriWxb5sVHcYpFAMoUeLZ0LF7LcSIbR7kEG9h4l0ZaifeNyVENlrHuIgb1HibUkad+0Ah8IN8Q4+vRh4i1JVENH1zVWnb+GlhVt6EGdRFMS03Ho3v4sTz38DKnmJFsv20IwHCTdN8qBx/YRSUVZe+k6FE+hrbOFvdufJRwL09CcwnNm1hXJjmUZ7Rth10O7CUWCbLx0E6qu0rmmk+e/8nmoqkJDWwOmaXFw92Eev38nuqFx/vO3EomFSbY1EjzYh6KqJFqTqJrKBS/cxuZLNpbek9xIOHsoCkY0hlkcxPchGG/Ar9P6GsdSVYWmzka6duwDYNn5a49bq6deKIpCU3szu35baq6w6bJNUjtEiCpOKiDy2c9+li984Qu8/vWv56tf/Sof/OAHWb16NR/+8IcZGZnZiq2WpUuX8tGPfpS1a0upW1/96ld5xStewY4dO9iyZcuM/Q8ePMj111/PO97xDm699VYeeOAB3v3ud9PS0sJrXvOak3krC4prmozv24VnmmiRKFowxMgTj02rTngENRgktflc9FDpQ87kB4ljn6fQ10Ou63B5W/5IF4GGRmIrV+MWi4zu3FnRilc1DJouuqh0QVqDbVocfHQvv/r0T8ot9Lb/4De0rG7nug+8Frdo8ev/vI38aJb2LStIdjTx48/8uFxg7anbHyK5pIlr3v8azKLFLX/7lYrWfZqh8er3v4bup7t48Hv3k2xLce0f3cBt//ptHvjOvWx+wTlc89aXkKxxtykYDjLcO8w3/+UbHJm2JvQXX/4/Xvknr2LFJevZ8+hefvbF28tjd3/rLlaes5JLX345X/zwV/j+Z3/E6/7k1Vz60osrgiFjw2n+96Nf55G7HyOeivGef3wHN9/0H4wOjE29fijAX3z6fazZvGrG0ptJju3w5Pan+bO3fwTbdnjn+9/CL267i1/98N7yPt/83Pe55hVX8uY/fh2ppvpcvypOHTtXCmLooVKmhREOku2t3T5zMiCiTHwACkyk3uvhALn+qS4ehfE8wWgIp2ARaygFQwt5C3/iYsm1HPSggaIoHNnVRfPyZtobIjiKiuu66LrC5g0dWC4UnVJNH8eyUVQF13VRwzGc7DhuIY8WPv5dRFXX8a2ZGSKl4G8EOzM+h++WqBeebeNkxske2lfe5uOjuy7je3eXz3t2ZpxIWwfpPbvK2/JHutBCYVLnbi2fCxeazMAYv/i375Abnvq91QydF/zR9Tz980cYOdSPFtB5/jtv5Fdf+jljPVPnQlVXufbdN7Ln7p0cffowqqbyoj95Bbf81/c4/OxUTQBFVXj7h97M0ScOsffB3aDrrLt4A9/7+Hfo3tVV3u+XX72TG971MjZctqmcrTE+Ms5t//499kxrRf+zL/6MF73xGtLpLHd9b+qcdO0br2HJuk6+/8WfALBx2zru++49PPHrqY42v7r1l1xyw6Vc/fqraWit7zvropJTKJA70kWxr7e8Ld/dRai1jejylXW9lG18YJSdtz/E/nufKm976qcPsfqKzWx9xRV12WFm0nDPMPd+624eu3N7edu937qb86+9gKtefzVNHZIlIsSkkwqBdnV1ccUVVwAQDofJZEql0d785jfzzW9+c87Pc+ONN3L99dezfv161q9fzz//8z8Ti8V48MHqBcE+//nPs3z5cj7xiU+wadMm3v72t/O2t72Nj3/84yfzNhYUz3XJHT2MZ5oAhNs6yOzfO6NVg2eaZA/sm3U9vVssVgRDJlmjI9jjY+S6uyuCIVC6OB194gncidevJjeS5Zef/nE5GDJp8EAfg/t7eOhrvyzXJdjwovN58Kt3zqg2nz46zNGnDnHHF39WEQwBcG2XH37yB1z0istK+/aP8eiPH2TbRCG4Z+57iiPTLvKOVSyY/OZHv6kIhkCpyOQPP/kDfODnX/rZjMcdeuoQfft7WT+xpvI7n/w+IwOV7R8ff2Anj9xdWgr2kt99ET/4n59WBEMAzKLFf/zpZxgdqtw+3eDAMB985z9g2w4NTSmWLG2vCIZM+tWP7mXPk/uqPINYbOxcAS0UKFWFB7RQADtfnHEcTjInAiK+5YAyLbMkFMDOmeXH5dM5AtEQdsEk3lwKhOazNpO3j1zbLRexDEdDpI/0o6gKtq/gOi6rVzSjqQrZiaQOTdewLAdl4vG+YaAaxoz2qrUomoFbZckMTBZWlYDI2cRzbLKH9ldsCzY2VwRDACIdS0g/u3vGudAtFsjsn/1cOF/MXJEHv/KLimAIgGs7PPClO9j80osAWHXZZh7/v0crgiEAnuPxy8/9lHOvK+238uL13HfnwxXBEADf8/mfm7/GedeWamO9/m9/n+3/90hFMARK58CffvYnFCeyzXzf5+n7n6oIhkz69dd/xcYL1mMEp4ob3/n1X5FMJUi1JNlw/jqyw5mKYMikh29/iP5DtVu0ivrk5HMVwZBJxYF+nOzsHc8WurGjwxXBkEkHfvMMo13VmxHUi/5DfRXBkEk77nyM/oN98zAjIRaukwqI/P/snXecHGd9/9/P1O17/U469d6sLltyk427wTY2vfdgeighEPIjlBAIIbGBEJrBNpCYZgM2tnHv3bKa1cupn67f9t2pvz9mb+9Wt3sqliydNe/X68CaZ3Z2VrrZeebzfL+fT0tLCz3FhJOJEyeWBIy2traqk/TDYds2v/3tb8lkMqxYsaLiPs888wyXXnpp2bbLLruMF198EbNCqfUAhUKBZDJZ9nOq4VomZr/3EC5kBce0cJ3K0XlGor9iaTmA4zjkDh6o+j7ZAwfQayuv3ljZLE6FFdoBdq/eXjUKUFZkurZ5TvmRphoS7b04h4ghAyhBveJEDDxDyFRvinCxrWbX2h1MmDexNP7CXc+R6q3875fqTfHi316oOOa6Lhue2sC4GeMrjr/0wCqWvm7QcPW5IcdJ9Ca5+3/vL/150swJbF+/s+Jx0skM3e3VHwB3bt1NPueJTisvXsFT9z1Xdd8//+oe0iN4RbwWGA3X5snGyORR9EEfDiWg4doOdqHyd8BAhYiTN1CDeklIUXQN1xl8XT6ZRQvqWHmDaF0Qy3KxLLt0V7BNC6nY/tU4rhHZsbAsB9sGWcD41lq6+7I4xe8EWZGxTGswTdV1USIRrEy2ojfIoQhFwa3yvaYEQ9j5fNXvPZ/jz4m+Nr2Kn8EbihKOYqXTZcKHpKrePcmpfC8xentOyd+JQipHexXx3swZWIaFGtRpnjOBnS9urbifbdqkuhJEGmKMXzyVp+97vuJ+ruOyY1MbzZNbqG2p44V7Ku8HsL6YyJbuS/PE7U9U3W/Lc5uGGaE+ffezvP5dl3L52y/i2bsqL1oBPPOXp8mM0NLn88p5Ne+bdj5P7sD+quPZ9v1Y+fwJe/8TSaY3yZYHV1cd3/zQatI9o3NOkuju57kRrtPn7nqW/q7+V++EfHxOcY5JEHnd617HXXd5pZMf+tCH+OxnP8sll1zC2972Nq699tqjOtb69euJRCLous7111/Pn/70J+bMmVNx34MHD9LcXB4T29zcjGVZdHdXLyH/9re/TTweL/2MH1/5ofikMmQSKGRpWAXH8P0rTxBxnBFXzBzLrJhOM3jYKsfF8xyohm0Ovqeqq14yRrVzcDxPk6rvk86hFdsDcCmrMsmmsp7xXAVcx4sbrUa6L40erGzwmEvl0EOD/ej93YMxn47tkB7y2e3D/NuMNBlM9A3eXMOR0Ij7phJpLPPUW/08noyKa/MkY2XzpXYZGGydMbOVJ6H5TB6EN64MafsafJ13jeRTObSQjpkzCMeDmJZb/BoSSKqEbVqIYutXtDZCbX2EVDKPZTs01gWxHIf+9KDQISsypmkx0FbuOp4Zn5AEZuLwsbmSouDadkUheKixqs+rw4m+Ng+9Twl1uIeMkGVc6zCCR7V74UnEruDXMRQjm0fRFBzHHfFemE/nUAMaSBJGFQEUIJXMoAU0hBDk09UfTtPFCk7Hccilq9+js6nssHtlJpEhEA6gBzRyI9y3sqkc1gjn6vPKeTXvm67rjjynNK1h1VujBdu0MarcRwEK6dxhr+VTFcuwyKVGuMaT2df8/NLH52g4JkHkZz/7GV/5ylcAuP7667nllluYPXs2X//61/nxj398VMeaOXMma9as4dlnn+VjH/sY73vf+9i4cWPV/Q81/RyoSBnJDPTLX/4yiUSi9LN3b+Vc7pOJkORSGoNjmMgj9GRKqoqQK4sakqKMaDyoxWswU1VKHCWpYjzvAOPOmFz9nBSl5FWQ6uynbmJz1X1d2yHWMDzCbYCmCU0ki4JEpDZCITcockyeP4VQrLIfgaIpjJ9VfWIwY+kMOnZXLuedNG8Se4eUIy9aOb/036FIkHlnzi792bEdQtHqnghjJlT/7NPnDMa4bd64nZkLplfdd/G58wmP8D6vBUbDtXmyMbN55CHl63KxWsTKVRb/Ctk8mq5hJLNlcZ4DxzCzeRzHoZDNo4d0rFyBcFTHNN3S96kky9iGXfLCcV2H+sYImWQe17JprA/R0ZEoM56TZdkTRsXga4QkkIPB4nfOyJNmUYrerWSs6lW6VP3u8jnunOhrU42Wm0ab6RRqtPy+YBf9tKohaXrVe+HJRAtp6NHq9/BoUy35VBYzkxvRo6BhYjOpzn4yXQkmTK9uTjxtzmS693Vh2w4T5k6sut+MZTMBCIQDTF1QPVJ00rzJ7N1WXhUw68yZbFq1hbbNu5kywmunLp5KOD5ymo3PK+PVvG8KVUWrqe4Jo9XUjLjIdioTiIdpnj2h6njLnIkERukcLFgTZsqCKVXHpy6cSqim+nerj8/pxjEJIpIkoQz5AnzrW9/KD37wAz796U+jjfBAXQlN05g2bRpLly7l29/+NgsWLOD73/9+xX1bWlo4eLC8762zsxNFUaivr24OpOs6sVis7OdUQ9I0QuMGJjIudi5b9SYUnjhlROFCq61F0iq47wuJ8PgJUEU8ikyaNOJxa1sbaKgkdAgI10eZf43X6mQVTHL9aRqnDc92B4g31nDZhyonCU1dNI2efd2lKpCz3nweL/3tRe9zBTWWXbUcLVg5WaCuuZYrPnwlQhr++ZontdA0oWmw8mQIkiyx4tpzeOZer9S4YWw9k2ZPKo3rQZ1rP/iGUk/1I395kte/+9JhxwE49/XLidVV//1qbKrjnAvPBGDVM2uZt2wW0QpRiMFwgCvecjGqqg4bey0xGq7Nk42ZPaRlRj9MhUi2gBbQKKSzqEMrRIq/v1augJHJg+tVjdgFg0BIwbRcwEEqJlY5puV9VwiQHAc9IJNO5ZHMApIQtB9MIClDBBFFxradku4xUGwmB8M4poldGLmseuDB1jGGCyJCCORQCMNvqXrVONHXpqzpKEPFDqvoeTNUFHFHvhdGp0wd8Z51sgjWRFjy1pUVx8YvmkrPznav1eXx9Zz1pnMr7tc6ZyLJjj4sw2Lro+u47oOvr7jwM2nWBFzDJpfK8fAt93PpBy+vmJDRMK6RliljAO+edsl7L0VWhyei1TTVEGusoX3X4Fwr3hBn5uIZPP235/nTL+7mzDecVVZROUAoFmLxxUtQKhzX5/jxat43ZUUh2NxSUfQQskxozFjkUTpP0QIa0887o7SYNxQ1qDNj5fyKv+ejgVAoyJLLlxGIDP9sgUiAJZcvJRQavWa4Pj7Hm2POlerr6+N73/seH/rQh/jwhz/Mf/7nfx5Vwkw1XNelUMXYc8WKFTzwwANl2+6//36WLl36mnhwVGMxolNnIgcC5DoOEGxuIdQ6vvSgIAeCxGbOQa+tG7EiRgmGqD1jAXpDY0n8UONxaucvJNt+ADUWITZ9emkiKek68dmzCY8fXx7dewjh2ghXfvHNnHH5UhTNO6eGSc1c+y/vJt5Sy7hF0zj7Q1cQaYyz5o4nOeP1ZzH70sUoAe/fpqa1gUu+8BbqxjcwZcEU3vn/3kXDuEbAW7E67y3ns+Kq5Tzz28eoG1vP6//+WroPdLN/636mLJ7G+/79Q4fNhW8c38iHvvNhWqe3ep9bV1l2xZm851/ew6rfP8b7vv4+Fl+8uDQRnDB3Iu/5+vt4+A+PU8gVWHHlWXzmxk9Qe8iqXdO4Br558z8xd9ks1j+/kXy2wIf+6T00jm0AIBIP87ZPXMvbP3HdiFUdNXVx/vGbn+KDn3wHkWiYG771Uz7/nU9w1oVLkCSBEIIl5y3ku7/6Gs2tjSN+Vp/TAzNXOKRCRC1tr0Qhk0cLaNh5s2SoCiApMkKWMLOFUll9qi9FIKx5bS2m63UfCG9f27IQQiApMrrqfY+kEgWCskN/Iodp2mUR0/JANclAi1uxlcEzhBVYqfSIn3OwQqSy34ifNPPaQtYDRCZPQ29shuIDfLZ9L9GpMwi2jC0Z+uZ7uolMmUpo/MTBe2EwRM3cM9Bqag8bFX8ykCSJ8YumsvKTVxNtrgG8tKeF157DwuvOZc9L2wBIdycJRQJc/aW3UTfOu5doIZ0lVy/nwo9czvanNwGQS2TRHPjSf3+2VCmiBzQue/tFfOKbH2bTY+sB2LlmJ7Is8YF//zDjZnr7KarC4kuX8O6vv5f6sYMLRw2tDXz8+59g8nxvFVlWZBZfvJgP/NsHeeEhz4hRkiUWXbCAT9/wMR6980mEEDi2w5qn1/PR/7yeGUtneEl3kmD2itn83fc+StM4/771WsNRFGrnL0SrG/z90WrrqJ2/CFc99QTJoyHUEOWyL72N1oVTvO8SAa3zJ3PZl99GuGZ0L9DUtNTwoe9+hBlnzkRI3nU648yZfOi7HznsXNrH53RDuMfggvrYY49xzTXXEIvFWLrUc0FftWoV/f393HnnnaxcWXll5FD+6Z/+iSuuuILx48eTSqX47W9/y3e+8x3+9re/cckll/DlL3+Z/fv386tf/QrwTFvnzZvHRz/6UT7ykY/wzDPPcP3113PbbbcdVexuMpkkHo+TSCROyRVpxzS9PnohAOH5ibguSAJJ00cULYZim2bJpFDIMkISuLYNCISq4pomrut6Dz26fsQTS8u0yCWyuI6DGtAIDmlhMQ2TXF8ax/YeliRF8fowDQs9EiBUGy2tVAMkOvowTQtJlglEAuSTWRzbQdYUVF2lkMnjul51iHAhn8qiairoCvlsnny2QCgaIhDQMDN5XMclXBcllytgFkwkWSIUC2FmCjiWjaRIqOEAuVQO13HRQzqyqpDP5BCSRKQmjKZXv8FnUhmyqRxCCKK1UXLpHIZhoigyiqrQ292HUTCI1kSpq69Br1LNYls2Pd19WKZFIKgTDAZIJTPgQiQWJhQ5PZX7U/3aPBk89e1baZg9ieZie5Xruqz71T1Mu+JsWs8aHk9++/f+QNeOAzQIGH/OXIJDKpbaHnqJ+pnj6Uxm2fvsFnozWZYvm8Lii6exb7/Bjo17MHIF4vEIhWSGMWdMJrGznXEzG6lvCrH2xT0sXDKebds76OpOMWH6uFI8dTadY8/2fcycP5WdG9pYfP5Cahq92Oh8Tw9YNuFJ1dvuALJ7d6PV1RFsHjNsrNDXS2b3LprPOe+UrAp4rXOirk3Htrw2KReEJCHrOrZRwLVswMUVErKmIoTkiWWuC5KEXKkK8hQk25/GNr32s2A8TC6VwcwUKGTyKLqKFtIJxMNkelM4lo2QJPRoEFVTyPSmS14+ejhAuCZCsi9FIVdAkiVitVFUTSWbyFDIGUiyIByPYDkW2b6MlxQlCfSQTrRK5WI2lSWfySMkQSQeRtU1ejv6KOQLCASheIhYTZRsKku26DsSqQkTCAZI9qXIp3MgBKFIkEiFakefE8+rcd90Xder8hvwvCleq6eiIHm05PN5Cn1ZCpkcuKBHgwRqw+j66PiOGQnLtEj3pTELJuCiBjQiNREUdXS2Ofn4nCiO6Yr4xCc+wVvf+lZ+/OMfIxcfzm3b5uMf/zif+MQnePnl4RFWlejo6OA973kP7e3txONx5s+fXxJDANrb29mzZ9CpffLkydxzzz189rOf5Uc/+hFjx47lBz/4wVGJIaMBSVUBFSuXI7F545BYM0GwpYXwxElHNBmUVRUOrZwZ+scjFFYORVEVohU8QPLJDFvueYb9L24lWBth9rUref62R+jf5xneSrLE7EuXMOfyZSURJd7sqdSJjj7u+fbv6dzpRbsJSTDjvHmMmT0eI2eQ606w5ZG1KLrKio9cwe033c32dTtK+y69YBHnX7aMp2/6G4qmsPzdFzNxyTQK2QL3/+Av7FlbTIURMHXZTC740GVEhkwQw1V8SQ4lHA0Tjg6WeevFFpy9bfv55mf/i93bvV5eRZG57n1v4E3vfQM19fFhx5EVmaaWhrJtwfDpKYL4VMd1Xay8UVYhIoRA0bWqHiL5TB5NVcCyUA4R5GRNJd2bYtVj62gKh5ixYCrhuI5p2ORyBbBtVMBI5XBtl0I6hyRLBAIypgtNLVFM0yaR9B6MpKEVIsX2Gbs4YXaHJogEghR6e3EtE6FUr+YTynBjzdIxiu0VRipFYIQWSZ/RhSQrSEN8QKxslsTmDViZopG1EATHthIeNwFZH17+faoTGiISpLr6WXvns2x7Yn3JTLV+cgsrP/p6nv7942x+wps7XfHpa+jb1826e14opbXVjWvgss9eR21rPdSW+6+E4mFCce/66Ons5YG/PMb//fR2Cnmv2mrM+Ga+/N3PMHX2pLJ2Z4BQNDTME6uuefjqcaX9YrVRYoeci89rD8e2MRP9JLZuHlxkUxRi02d6LdqnoI/PkZLpS9G1o52nb76vFEutR4Kc/b5LaJw+tmyeONpIJdKsfX4DP/jGz0j0ec8R8doon/5/H2HBWfOI+l4/Pj4ljqllZseOHXz+858viSHgGep97nOfY8eOHUd8nF/84hfs2rWLQqFAZ2cnDz74YEkMAbjlllt49NFHy16zcuVKXnrpJQqFAm1tbVx//fXH8hFOeexCgf4N6w7JeHfJHWwnu3/fiGkwJwPLMNn+wIvsf2ELuC7TLj+LJ35+b0kMAc+MdMO9L7Dz6Q1lkbyZvhR//fbvSmIIeIkxWx5bj5k1wLTY9MBLOJbNvKuWc9t/31ESQwb2feHhl3j6kdVMOXsOZs7giZ/fQ8+eTh6/9YFBMQTAhR3Pb+GxX95PIXN8ouK6DnbzxQ9+oySGAFiWze9/8RceuedJz1fBx+cYsA0TXBdZKxcRZE3FylcRRNI5NEUCIcrSaQAkTaFj10ECuuq1wugq4bhOOpVn/5Z9SAUbyRVIioQA+nYcxLZsgiEF24aGxijJ/hyu4wkeA6arMNgyM+DKPzQ9Qwp4D7Klh9wqCEWpGv0taRpClv22mdcwdiFP3/q15b8nrktu/z7yHe2n3H3vaMilc2x6cDVbH1tXdm30tB3kgf+6nXPe7lXWjp83iVRnP2vueq7sPtm7r5u//Ov/kTpMDOi6FzZy8/dvK4khAO17O/jSR75Jx/6u4/ypfE4H7Hye/g3ry2LRXcsisWkDdm50Ru4OkOvP8MgP/1ISQ8BLl3nkf+4k1z/y/epU5+D+Tr71+f8qiSEAib4U3/rCDRzc13kSz8zH59TjmASRxYsXs2nTpmHbN23axMKFC1/pOfngTQztXOXIrOyB/VUfGk4WRirHvue8dCAtEsTMecaqlXj5r8+VRfgmuxIkDvZV3DcYDbLxPq+fWcgSem2EPVv3Vdz3+QdepGVIEs5LdzxZtU9y+/ObySWPz81u17a99HZVPv/bfnZH1TEfn8Nh5bzrfGiFCAwIIpW/A/KZPIokUEPDy5kt28HMFmga24CsKTiGRbgmiGW6yKaDI8ASoEUCOK6LFg0iHAdFk3FcgabJZJIForqGLislEQQoCeQDD61lgojsJVhZ2ZGvOUlWqnqIDBirmr6x6msWK5vFMSoLfZl9e0+5+97RUEhm2fzwmopjqc5+Mr0pGqc0M/fCBbx8/0sV98v2pendW13U6DzQxf/+5I+VX5vOseqptUd93j6nN67jkN1fPcUms3c3jj06o2nzqRwb7nuRis4BLrx8z/Nlc9XRRCad5fZb78KpEOvtOC6333oXmXT1+Gwfn9ONY6pz+/SnP81nPvMZtm/fzvLlywF49tln+dGPfsR3vvMd1q1bV9p3/vz51Q7jMwLVxBAAHKfoBXLqYBWM0mpWIB4m0VFdBChk8tjGYP55or36voqmkE95X9paUKO/J1F1X9t2MIfkqif29zJ+yYzKO7tQyFSeeB8tbdv2VB1L9KUwCqN3Eu9zchmoAjnUxV/WlOoVItk8ckhDreBfk+xLEdAUnIBGzrBwDJNwLED77j4c1yVnmGgBrVT5oUV0QrJXZWJnC9ghiVzW+32OB4LYeatkmiwkCcSQCpFDJpmyrmNls3gxNJX7zoWilHkbHYoSDGH0+wLjaxXv96MyrmWN6goRyzCxCpXbwQAS7T2MnzcZNaCWrVYfSu+eLiYurBx7a1k2e9sOVH3tto1tR37CPj547TIjVfZZ2QzY9jG3YJ9MCtk8/ft7qo73H+jByBcIxkdfPG0unWP39sqLhwC7d+wjl84RjozOWGEfn+PNMQki73jHOwD44he/WHFMCFGa0Nqn2IP7aEEOjOAnIUkI+ZgDgk4Iiq4iJAnXcSgks4w5JKVlKFpIR9YGb57x5ur72qZnxlpI5zFyBvER+jklWULTBn+lY2NqSfemqu6vHac4tYlTx1Udi8ZGNmn18RmJgSqQii0zucpCWyFTQNQ6ZQkzAEbBoK83RXNthFTBRFYVJMdBCyjkUgXkiI7TWwCHUnS1Y7tEm8NYho2uQjpZwBUSpmmCArnuJNFxg34esiSVhFHXLX94lfUAZiqFXShU9YIYSJpxLRNRIb1ACYXId3YUjzH6De98ylFC1SfnnjH4qXXfOxoUTUXWlLLFgKHEmutYdf9LNE9qQQ8HqrZ01o5rqLgdPG+qseObObC3o+L4lJkTj/7EfU5rhCwhh0KHtG8PogRDpZSo0YYW1Ii11NKzu/L1Em+pq7iwMBoIRYKMmzSWnVt2VxwfN2nsaWve7+NTiWP6FmtraxvxZ+fOnaX/9zk25EAAOVD5oSHYMgZxiqUsaJEQrUtnAlBIZdHDOoEqRqVzrlhWprhHm2qINg43HgXIJLLMvngx4MV5mqksrVOGJ1AALL1wER0bBr/8F73xHHqqlBdPXjKNYOz4qP6TZ0wkXsVY7i0fuoa6xprj8j4+px+Dgki5di2pSsWWGdd1yWfzYNmoofLvj3072rFsG8kFK+8JIoGAdwuwHEEoFgIEtm0hhFft4dg2wbCKkbfQgyrpjIGQvPaVgm1jFawyYUZWZKyiCH5oqa6ka97xc9WrAKRS9G7llXS5aKzqt828NlFCIaQqMZ6h1nGjOl0oEAsy8/zKFbPh+hiR+hid29vZ+Pg65ly8sOJ+wViI+glNVd+jeWwj7/hoZZP5QFBn2XmVj+vjUw1Jkgm3jq86Hh4/ofS9PdoIxsLMu3xZtYJF5l2xjNBxmie+2oQiId78/qsqVloKIXjz+68i5FeH+PiUOCZBZOLEiUf843NsyLpOzbz5pQeAAfTGJu8GJJ1a5YmKrjLj8jNpme+V8u6473nO+7sriQ6p/hBCMOPChUw/74yy6OBIXZSr/unt5StfAqYun0UwHkaLhZl+/hkISbDhzud499+/hQkzy2/QC845g/MvP4sdT25A1hRWvPcSGia3sPIDlzFmVnkFx4QFU7jwI1cSiByfxIKmMQ1895f/wtjxzaVtkixx9Tsu59I3XlhmPuzjczTYhWoVIpUFESNveHM720E5pEJk3/Z9aEWRxC6YyIpEMOQd15ZkJCEjyRKW6UVzS5KEY7sEQiqu4+K6LkbWEyok4TW+SIqEMaS8X5KHVoiUn5uQBLKmYmertwMMJNBUNVZVVYSi+Maqr1FkPUDt/AXIwfKVy2DLGIJjWkd1hUggEmLuFUuZsmJ22QNYTWs9l37+TTz3p6cA2L1mJ7XjG5l76eJSpRZArLmWq//fOysmvA1l8YozeOffXYcyJAGqvqmWf/vpV2ge03h8P5TPaYEcDBCfPRcxJE1GyDLxmbORg6P7oTpYE2bl9W8oqxhWgxrn/d2VhOpGd4LSmPHNfPHbnyyrBAlFgvzDv32ibL7q4+MDwq3oJnR4fv3rX/OTn/yEtrY2nnnmGSZOnMiNN97I5MmTueaaa473eR5XXo3M9uOFbRRwTBPXtpEUFUnTTmk13swZZBJpHMv2TFDDAcxMHtcBSZNQAzpG8UEuFAujDjGLzPSnySezmHmDQDSErMpYxfJiLahiFWwsy0IIgRbWyabyuI6DpMgEQwHPIMoFPaihBzSsgomQBJIsk0tlKWQKBCIBgrEQwSHxgflMHiNXQCAIxkPHnM/e09VHojdJPpentqGGcCTkfVYB0VgEfYTSy3yuQKLfe8iLxiKETtMI3tF0bb4a7H9uAzvufZoz3ntl2UpPx9pt9Gzezdlfem/Z/omuBD/68H8yo7We8efOI1isXDINiz///C6mzxhPKG/S0Zch2lLLtClxxs1qYtM6Lw2qY28ntmXSMLYBI5lDD+ssOW8C2ZSBJAkO7OzFwMU2LSxc4jVRzEye+KQmhBDs3r6PYDBAqjfBrCUzGTuppez8jP4EVjZLdOpUqi3LZfa0EWhsItBYecKW2rkdIcvUL1x8rH+tPsfAq3lt2kYBxzBxHRtJVZHUU/u+NxLZRAbLtJAkiXBNhGwijVWwcGwbIUDRNdSwTq4/g2XaCCEIRoMomkqmP41lWsVtIcI1R7ZanUlnyCay2MXjybpKXVMNuWyeXDoHQhCvjaJqKv29CbLpLAhBXX0NgVCAfCZPNp1DCAjHI2i6Sj6bJ5sa2Fa9FdTIG+SKImkwGkQLjN6qntHCq3Ftuo6DYxgl02tJ1bzkr1EsUg6QS+ewcgVswwZcZE1BCeoEXwMtJUbBIJvKYeW9xQwlqBKKBP1Wbh+fQzimGcaPf/xjvvrVr/L3f//3fOtb3yr5hNTU1HDjjTee8oLIaELWdGRtdPQw5tM59m3ey0M330/Xnk6idVHOuuZs6htjbLp/FYvefgFP/+UZNj69ASEJ5p13Bq9790XUjfE8CMI1EcI1Xi567/5unv7NY2x7ZhNTz5zJ7JVn8PQfHqd9634u+/hVpFNZnv7TkyS7kzROaOL8t61k5+Y93Pfbh5h31hyu+cjr2fC3F9m1ajvzL13CgsuXUj+ufHXMsix693Xz6K0PsmvNDlRdZf7Fi1l2zQpiVVp4RqK+sZb6xlpc16V9z0F++u1befbhFxFCcN7ly3nb372RlnHDH/L27TnATT/8Xx64+zEcx+HCS8/h+s++j/GTWiuWO/qcPtgFA0lTh/0eyKqCVcGsN5/NoxVXhrXwYAVU575OHNsl1lSDtacLARipPKFYM7lUgWx/imBNGEkS2EjkMnlkIdBV7311XSaTsXAAGTBdr7dcCagYqTxW3kAN6siyNOgbVUFql3QdN5XCMQykKt9rkqJUbZkBUEJh8t1dVY1XfUY/o+m+V418Js/Brft5/NcP0r27k3BNhEs//np0XWPN7U/Qt7eLQCzEzIsW0bpwKn+98U+0bztAMBbioo9cQagmzH2/uJd9W/YRjAY58/VnsfTyZdQ0V05OG8AyLNKdSR655QH2rG9D0zXOeffrSE5r5lc/+B1rn92AHtC4+NqVXPHWi/nR937Bw/c9haqpfOBjb+eSy1Zy1y/uYe1T61EUhcvecwlLVi7gzl/ew9on1iPJEmdevJQ3vP8yGsaW+5n0HOjh4d88yIYnXgZg7rnzeN17LqZ+bH2lU/UZRQhJGrGVezRTSGZZf9ez7HtpGy4wbuFU5l+9AlmT0UZxmx5A38E+Hv2/h9n0tJcCOWvFbC5810U0T/QrRHx8hnJMgsgPf/hDfv7zn/PGN76R73znO6XtS5cu5Qtf+MJxOzmf0YNjO2x9fgt33nBHaVuqN8WDN9/HGRcu4Kz3X8ovv/QLb3UKwIa1D69h+0vb+eiNH6N2yCSv/2Avf/jqr8n0p6lpqWXqmTO5/Vu3gQuLXn8mO9btZPWDg7GEXXs6uf0//sAlH7ycGQuns/6ZDWxZvY0v/eRz7HppBy/++Wn2rGvj6i+9lfAQr4++/b38+h9uwja9Bzgzb7Lqr8/Rtno7b/vGe4nWH9tKS8f+Lv7hPV8jkxr0SnjkridZ/fR6vvurr9E0ZBLZvq+Dj7z1c/R0DyZnPHjP4zz/1Gpu/dMPaZ1Q2S/F5/TAKpjD/EMAJE3FtR0cy0YaUhqfT+fRVRmhyEhDKp3ad3cQigQJRkOkAEkInFyBcDxAJl2gkM57nh+ui6xI5DI5QqpGOBbAsV0kWaJQsEASyA4M6BCSKiNkgZkpoAZ1JFkuCiKiYtzfgAhi53JVBRGhKCPGqyqhMK7Vjp3LjWjC6eNzsnAdl12rt3PPDX8qbQvXRTDTOZ7+8V9L2/LJLGv/9BRdO9qZumQ67dsOEAgHsG2bX/7jTaWkplwqx2O/fZQ9G3bzpn94C/ERfKl69nXz6y/ehGN5rWtCFgQbIvzj+76BaXhCYz5X4K//dz9rnnmZqz9wBQ/e+wSu47Bo8Rl892P/RaHoC+TYNtPmTuK7H7uBXNHk1bEdnr7nWTY+v4l//MnnqG+pA6DvYC8/+9xPyA6JKV336Fq2v7SN67//cWqL+/n4nEokDvby4H/8nsKQ1s+9q7bRsXkvl37p7WhjRu/vbdfeLn75jzeVXZMbnniZtrU7+fD3PkrjeL+FzsdngGM2VV20aNGw7bqukxkhnsvntUu6N8WDv/hbxbH1j6zFLJjkK7jmZ/rTrH98Xcl3wLEctjy1kUx/GoD5ly7hmT88XlptnrRoKmseWl3xfZ78w2OsvPpswCvbve+2h1j+9pUAdO5sp3dIvFohW+CJ/324JIYMpXd/Dwe3V48uHAnLtLjvjw+XiSED9PckePrB53CK0ZGO4/DgvY+XiSEDJBMp/vTbe7DMyokEPqcHdsGo2CogF8WOQ6tECpk8mqqghvSy6omDezqoaapBFP1sZElCCEEopmPZoEeCGJkCuJ4xqrC9B59oTQDbdnAdF6Ng40oCBxdFEkguCERZ4o0kCWzL9hKn3OERqZIskFQVa4RYcSGrpbLsSshFEcRIVo/g9vE5maT7Ujx68/1l2xZdvpQNdz9fcf8D63bSOmMckiIx/7IlPHrbI8NiqwHa1reR6Kr+e59P53j01gdKYgjArJVn8Of/vbckhgxlX9sBzJzJ2HHNXHzlSl64b1VJDAFYeP58XnjopZIYMpT+7gTrnnoZ13WxbZu1D68pe/AaIJvMsvrBl/zEQZ9TDsMwaHtmY5kYUhrL5Nnx5Mvkc5XTnk518rk8qx98aYRrctWo/Ww+PieCYxJEJk+ezJo1a4Ztv/fee5kzZ84rPSefUUgunSObrJ4e0bW3i2CV1JlNT22gkCsUj5OlbdW20lisMU73Hi8pRg8HSHYnKk4UwVtFG+r/semFzdQMMWodetxCtsCuNTuqnu/mpzZUHRuJdDLDC49XFmwAnnnoxdLkMpPK8Oj9T1Xd94mHnyWZTB/Tefi8NrAKRkn8GMpA9YddKH/IyWVy6KqMOqRdJp3KkklkqWuq9dxQAVkS6CEFRZXJ5yzUoIqsykiAJCR0RS56BXhVHIWc5bWoSALHAUWWwXVxcZF1BduwcR0HWfFaZoSACnqId+6ajp2vLohIxQqRate5pChIuu4nzficshQyebL95Q8iwWiQ7Agx8Mn2XmINcWKNcTr3dFbdr21t9fQ+I2+wZ31b2bbGyS2se3FT1ddsemkrM+dOZ/6C2Wxbva1sbNKsiWw5ZNtQVj26mkKuQCGTZ2OxJL/iezyzqWqMsI/PySLfn6X95cqxtADtG3ZVFEtGA+neNNtXVb92t6/aRrrPn1/6+AxwTC0z//AP/8AnPvEJ8vk8ruvy/PPPc9ttt/Htb3+bm2666Xifo88oQFZHTlLRQzpWhRUqgEA4WEpiUVQFPVzeoyopEo7lYJsW2mEy4YcmugTDQRxrcFVqqCAjJIEeDmAZlW8IofixRa3Jqjxitns4GkJWPB1SURUi0ervE4mGy5ICfE4/7CotMwPb7AoVIgFVQR9iGty1rwsE1DTEEULgCq+SI1rj/Z7m8yYg0EM6dsJGsh1cIbxS+7CGbbkU8vlSlZbl2gRQkCSBa7ulc7EKJpIkY9sOqiRXrBABkHUNK5PGta2y1IIBhKJ4Yotte/9dASUUxkj4FSI+pyZyhe9tIXlR1pW8dcBLtjCLAufQtKZDqbawAF6SmxbUy8QHyzAJR4IlM/NDCUWC5Dvz5HJ5gpEgiZ5BodEoGARHMPgOR0PIsoyAEVPbAuFAWbKcj8+pgKzIqMHqHiFa0RdrNCKrMoFw9WtSDwUqfk/5+JyuHNOV/oEPfIB/+Zd/4Ytf/CLZbJZ3vvOd/PSnP+X73/8+b3/724/3OfqMAkKxMK2zKmfV6yGd2uZajFzlCdnZ152DVrwp6eEAC69YWhprW72dGWfNBjyzOFkSVSdeY6e3sm/nYKvL+decw44nBys9pp45s/Tf4XiYxVeeWfXzzHvdwqpjIxGNRbjmPVdUHb/63VcQCHrnHwwFeecHr6u67zs/+CZi8dEd++bzyrDyRpkXyAAD9hyb/vYCa29/nL0vbcM2LTL9aRRZQh8iynXt7yYSC6MUhQvXcVEUiWhNENd1SXZnPDFDVQa9QTSZYNi7JiUBRt4C1/W8RxywHRdZyNiWhaRICAnsnDnYMiMEbgUPEe/Y3nHtKuW6pejdEdpmlHC4KKr4Zfg+px6BaIjWOeX3w30b99A8a0LF/WVVQYsGyfSl2bV6B7NXVK60lSSJyfOnVH3fUDzMoiH3T4Cdz23loqvOq/qaBSvmserZtdx39yMsvaQ8uWnVI2s467JlVV970VsvQNVV9FCAc647t+p+51x37ogPZz4+J4NwXZTpFyyoOj7twgVE6o/eYP9UoLaplmVvOKvq+JmvP4vappENmn18TieOSRDJ5XK8613vYvfu3XR2dvLss8/y2c9+lnHjxh3v8/MZJYRiIa76zBuHxQLKisxVn7qGfF+a2StmD3vd4kuXMGbq2LJtDRObmXvhfAC2PLmBMy5aSG3R2OqFPz/DGz997bBo3HA8zIXvvoiHb38MgJmLZzBn6Sw2PbYegNf93ZVEhmTKS7LEvIsWMHbW8N/Z8979uhFN6w7H3MWzWHHx8EnkJdddwOSZ5RPiGbOncvVbLh+270VXns/CZfOO+Rx8XhvYh7TMuK7LvjU7WP27RwHo3rqPXc9t5umf/pV7vnoLqWKpvRYtF0TiRYPgbHsfuKDIEpGaIPms6ZX3JzJke1PeArbjIqsKkXig2PbiYhQsT4URAhcX07GRJbANu+gjomAWTCRJ8lbAhcCp0vIiFBkhy9hVfEQGPFMOZ6yK62Km/LYZn1OPYDTIpR+7qpSaBrDuwdXMvGQJodpI2b5Cllj67ot4/s5nAdj0+HqWXbGMukPMHIUQXPu5NxGpK3/9UGRFZtEVy2ieNmjGvWddGwsXz2Hm/GnD9n/Th67iuWdewjBMNm/YTrA+zKylM0rjB9raCUeDzKsg0Fz4pvMZO2nwfVpnjGPh64Z7y82/cAHjqiyW+PicbGonNDJh2cxh28cvnk79IbHxo42xU8cy97zh88i5585jzPSxFV7h43P6ItxqjdojcOmll3Lddddx/fXX09/fz6xZs1BVle7ubv7rv/6Lj33sYyfiXI8br0Zm+2sBy/AecKSjKKtLdPWzb9Ne9mzYTf24BqYsnErfroP07Opg8orZ2EDX3k4EEk2TmonWRwnHBkUU27KxLRsrb5Do7GfLUxuQVZXZ559B38Fedq3ZwZjprTRPG8OO1Tvo2tPJ+DkTGDutlVWPr6W3o5fFKxdS11TL1sfWoQV1pi+fTbguih4a3m6T7kvRu7+Hrc9sIhAJMPOcuUTrY694NSvRm6RjfxdP3vcssipz7qVn0TimgVjN8IqP/r4kBw908MDdj2FbNhdfuZLW8S3U1te8onMYjfjXZjnP3fhbomMbGLtsDq7jsuWhl2hft5O6yS2QSDD27AXEJ48l05Nk68OrSezrQgjB9NcvR5Ilctk8d950D3OWzaKxtYGuF7aiyALLdjjjgikEwhob1x7ENm2snIHjuAhADWhMmlVP09gYtu3SuTeBkAQGkElkcV2XsK7iqjLh+hiFVA4zU0CuC7G/rZ1QKMDYSS1MnTe54ufKd3kGx+EJw1fMXdclu6eNQHMLgYamiq93XZe+9WuJTppMZOKk4/S37TMS/rVZjuM42KaNrMhIVcrqk90J+g/2ku5OoYd1GiY2IwE9be10bNlPpCHGuIVTkTSFgzva2bV2J7HGGmasmIXrQvuOA+xYvZ1oXZS5584jWhclGA1h5A1kRa5a8p7uTdGzr5utz24iGA0x69y5CE2ipzvBwd3tyKrKxKnjUHWFvbv38/B9TxEKBbn0qguoq43T35Vk1aOr0XSNpa9bRDgepr+znxcffglZVVh20WLqWuqIxMoXQDKJDP0dfax/fB24MG/lfGqbawjHq4s4Pq8c/9p8ZSQ7+yikcuxZtRXXgQlLpxOIhYi9Biooug90k0vl6NnXjeu6NI5vIhANDIvM9vE53TkmD5GXXnqJG264AYA//vGPNDc3s3r1am6//Xa++tWvnvKCiM/IZPtSdG3dx54XtqAEVKaev4D4mLoyX4JKOI6D5IJkWDQ3xlGFQBYw+cxZTD/vDHrbe+jcup91j6xDSIJF6mK0gEo4FqaQzdN7sI/n7nqG/o5+piycwrzz53P++y7xVp2BhgmNTD9zJmbBpO9gH45hEYmFMdIFXNdh/LRWGhprcEwLPahz3nsuPuxnjdRGidRGmTBv0vH4qysRr4sRr4sx44yph923pjZGTW2MWXOnH9dz8Bn9DK0QaXtmA+3rdzJ+2UzqJjWz96EXcCwvhShcH2PBm87j8R/9BWyHfCJDqC5KT3svAPH6GAc37kYR4LgukiQIxwJkkwWE62IbVtHewAUElmESrQ2CwKsOEQLXASGBVwLi7Ynp+RzIqozhuAi8nhsBjCS1S7pWNEV1OLRQUQiBpKgjVogIIXwfEZ+TgmPZZHqS7HxmI90724mPqWf6yvmEG2Iomlraz3UcJNcls7eL7m37iTTGaRzfiCtJFLIF1JCOYzvYlo2sKUimRUtzjdfaZphEGmuYe+485p47uMLb39nP2kfXsfnZjURqIpx19Qrqx9YTOuTebNs2qb4kSkDDdh3y2TxBOURidzdtT21FC2k01dUQbm1k6dmLWHp2eWVHw5gGph3SmlPXVMuUKgLnAOF4mHA8TOsMv1rYZ/TgupDtT5eqE7N9mcPOd0cLkhAkuxKeSAksvmQJodiYw7zKx+f045gEkWw2SzTqrXTff//9XHfddUiSxPLly9m9u7pjs8+pT7Y3xePfv4N0V39p2/6XtjPp7Dmccc256NHqBmt9e7q47zu/xRqSfLH6jic476NvID6hkT9+9/fs3by3NLbluc1MXjCFN37mWtrWtfHnG+8oje1YvZ3Hf/cYH/7eR2mZPFi2aJsW21/cyu3//vuyJy5VV7n6c2/igd88RM+BHsZMbuHD3/4QNa+g9cXH52RjGxaSqtC7t5Pdz25izBmTqS9eD0KRcYbEMkuSVPJrPPDCFiZftJCe9h70oI6RLWD2pZE1Fcd1UWWJYFSn92AKbBfXdlA0FSOXQxYy4BKO6AgB+ZxZTI1xQAxp30Eg4eLYTsnnRBSNIIUQpXjpSsi6hum62IUCsj78O0UUk2ZGQgmHKfT0eOk3QyKGfXxOJD27O3joe3/ELl57BzfuYevDazj/E1czZt6kUtVG4kAPj/7nH0r3w+SBEC3zJvPYj/+KWUxVA1h9x5Mseev5JPZ2cqCYfLbhrmdY+NaVTFo+ByXgee70HOjhpi/8jHTfYFLN2ofX8Lp3X8zya1YQLPoG9Xf28+sv/5JEZz/gmbmOnTGOP/z77+gtCqQAG5/cwMKLF3Phu15HXUt5e46Pz+lCsqOPZ355H51b95Vtb5g2lnM+fAXx5tFbJdJzoIc/3XA7u1/eVdq29fktTJg7kTd9/s3Ujak/eSfn43OKcUweItOmTePPf/4ze/fu5b777uPSSy8FoLOz0y/XG8U4ts2Ox9aWiSED7Hp6I+nu4dsHyCUyPPnze8rEEABc2LtmO9tf2lYmhgzQtnYnezftZf1j64aNFbIF7vzBn8rifFO9Kf5ywx3Dlp/Ngsmjv36Q84vGbu1tB1n1wEtVnfp9fE51XMfxBA9ZZuv9q4g0xmka0osvyXJZipLrugjHxVFlbMOka9Meug/2EquLsH/DbvSiGOK6LoGwhqxI5LMmkuMgACEXqzsUQTCiIckCXMhnisKEW0rt9YSX4v523kDIAiGBO3C9CaqaqgJIqgaIqj4iQlFHNFUFUMIRXMvEzlWP+/bxOZ7k+tM8/fN7S2LIAK7r8tRN95JPeFG7hVSWF351f9n9cPK5Z7Dmz0+ViSEDvPTHJ5i4vNynY80fHidfvPcZOYMHbr6vTAwZ4OHfPEiqGOdrGRZP3/5ESQwBmL5sBpue2VgmhpTe48GXSHT5VVY+py8dW/cNE0MAurcf4OCmPSfhjI4fu15uKxNDBtizYTdt69qGv8DH5zTmmASRr371q3zhC19g0qRJnHXWWaxYsQLwqkUWLRpuquUzOiikcrQ9s7HqeNtTG6qOFdI5Egd6Ko6NWzydVfetqvraF//2AosvXVJxbO/mvWRTgw88/Qf7hosuRXr2dVM3pOfz2bufJZ3wc9Z9Rie24T10JQ50k0tkaF08vawSQjqkQiSfzCIBQlWJjW+kb+dBsr0pNEnGMSwkAY4kcF0IxTw/nVzORBYCWZNhoN1FSKVIXtt2yOdMr1fG9UxVBxCyhOOCnTcRCCRVwbUGBciR7KmEJJA1tWrSjFSsEBnpGGrY8y8w+vur7uPjczzJp3OkuysLCFbeIFMULAqZPIl93WXjsdYGuncerPha13FJdSUIDjVcdV26d7YDkE1l2PR09Xvz1ue3ePslM6x/aE3Z2LRlM3j5ifVVX7vmodVVx3x8XsukuhPseOLlquM7nniZVIUFwtFAf2cfL933YtXxVfe9SP8o/Ww+PieCY2qZefOb38y5555Le3s7CxYMRlZddNFFXHvttcft5HxeXVwoW3E+FNu0qpanj/jwI0vY5gjHteyqpnRAWZWHfZiYzaFl+pZpj7hK7eNzKmMXvAqJ7u3t1E1sIhgvNzAUslQmiKSLq8JyUCU6toHk/m4awkGyiRw1ca8f2hUCXJdgVMd1XLIZAxUXRZaxGbxWIrVBHNvByFu4jjvgGDL43nhJTabj4Jq25x+kSNiFwfM53LUnadqIFSK4Lq5tlWJ4h+0jy8jBIEain9DY1hHfy8fneHC43+kBQbDi/fAwr3VMu+SXVdpW9AhyXUZsQbMGvgdc7346FEmWh20re61hVR3z8Xkt4zoOzghzSseyq6alneq4jjvidW+b1mBFp4+Pz7FViAC0tLSwaNGishv4mWeeyaxZs47Lifm8+mghndZFw6P5Bpi4fHbVXn0tHCBUNzxBBaBr817mnju36nHnnXcGm5/dVHGsobWB4BDfkrqx9VXFk2hdlHx2sBx54QULCB/yEOnjM1qwDK8SyswVaJo5PI1FUspbZlIdvVi2g6JrCElAKEBNWEcSoBQrQ+ziQ1kwqpPPmdimjW27eK4hg0SiXspSPudVfzjFB72hV78kSaXJopM3i+czOMFy3JEnW5Ku4VgWrj284mvAk+TwPiIRCn19I+7j43O80CPBqj5akuIlLgFoQZ1QfXn7cC6RJjaCV0dNaz2Z3vKWmIZiJH0gFGDy/OqGpjOWzSieX4AZZ5XPwfZs2MWMCrGiA5yxcn7VMR+f1zKhuijjl8yoOj5h6QzC8crz2lOdaEOMuecMj9wdYN55ZxBt8C0OfHwGOGZBxOe1h6KpzL58GWpweDxt/dSxxEeI6QrVRFjxvkvLn5iK6OEg8y9YQE1TzfDjttYz86yZRGqGx/JJksTVn34j0drBG1K4JsL573rd8DcRgvPf9Tqe+PNTAERqwpx77bko6jEVQfn4nHTsoiASrIsSiA93vPcqrwZXd5PtfZiWjVJ0yk8XCjgu1MVDYDkgSzjF1eBgVKeQNXEdt5TzMvRmEInpCCFRyJkIabAya+jlLYTwWmgkgZU3S2k4miJ7OTT24SpEvO8Zq0KVyEBVyOEEETUSxSkUsPKVK018fI4nwZowZ767cnrZwjedW7pOgzURlrzzorIWs52Pr2Phted4YuUhTF85n45Nu8u8saacdwaBYqxtMBrkyo++wUugOYR5551BvDEOgB7UueA9F6ENuYdvfOJlll62lEBkeJT8hDkTaJzQeCQf3cfnNYeiKExYPJ1ohblppCHOxGUzUPTROYdUFIU5586ldsxwEba2pZY558wtzRV8fHyOsWXG57VLuCHORV96B9seWc2BtTtRdIWpKxfQumDqsJL9oQghaJo5jtd/9T2s/cvT9OzqIFwfZcHVK2iYMgY9EuT93/4gq/72IusfX4+QBAsuWMDCixdTP7ae8966konzJvHYbx8l1Ztk3MzxXPjO11E/rlyE0QIaiy9fypipY3jitkdJdPbTPHUMy994DmueWE+mP83Kt6zknGvOpr7CjcDHZ7SQ2O95ENROaK44LuRBDxHXdUl39WEUIzwB0r1pkGVCuootBKgyTtpByArBqE6iPwcuuLKXTjMgiGgBBUWTcW0XI+8d3zQt1CGRogPKiJAlT1AxLESxcktVFK/dhcMIIoqMkGXsXA41Ur5SJSQJJPnwFSIRT0g1+vpRxlRPwPLxOR5IksSYuRO57Cvv5OW7nyWfyKKGNOZctoy6ic1lsbv1U8Zw8ZfezpYHVmEVTFzXJVIX4fX/8h7W3fUsXdsPEKqNcMbrz6JmXAOb7n2eukktSKrMtJULaJjeihYeFDEaJzTx8f/+FE/8/jF2rNlOKBrinDedx9TF0wjHBxcU6sfW8+Ebr+fZPz/N9he2oIV08tkCf/dfH+PpPz3J1he2ogc1lly+jNkr5lDn3yd9TmPiLbW87nNvYseTL7Pruc0ATFw2g2nnzSfeMnoTZgDqxzbwvn/9AC89sMoLLnBdzlg5n8WXLKW+1U+Y8fEZinBHMn94jZJMJonH4yQSCT8Vpwq2aWFk8wghoUeDVVtljGyeXDJL964OZEWhbmITakDFtRwkVQLbId3Rh5HJEWttBEUmm/JWc8M1YXRdK8UKgmcKZ5k2surtt3f7PhzHZcL0cUTrogRDgxPEXCqHZZhoQR0tqJHuS+O6LqFYaFRVhmSzOXq6etmycTuO4zJr7nTqG2oJR4ZXBbzW8a/NQV68+R4ybfsYe85ClKA2bLx30y7MbI4pV55LtjfJi79+kO5EhilnziIUC7Hq3hcIBDRqgpqXLhPQSPWkCQVkLn7PEvZs7mLfjh5kTWHAUrU/naW5tY55Z7ZiGTa7tnQBYNk2YV2DgEZ/bxIXl3hdnEImD66nrKvxEPlklpxhYOISr4sx/+zqrXIA+e4ecB3CEyYNG8u170MJhgiNG94uNJTElk1o8Tg1s0d+L59Xhn9tDlJIZsn1pch09ROsixKqjxGID69yTPckyfenSRzoIVQbJdJUQ7SpBjNvYOYMJEUmEA2S6k/T19nHgbZ2YnUxWiY0UdNYM8xTBLxEtVw6hyxLhCtUVg5gGd5+kjS4Xz6dJ51IIwlB3dhX9kCUSWfp6e5j84ZtSJJg5pxp1DfWEQr5wuSrjX9tvjKyiQy2YZZSnQLREIqmEBzh+hotJPtTGDnDS6hyIVIXRQtqxGpGZyuQj8+JYvQ8Nfq8qsiqQrDCBG8o+VSWtX99nrV3P1cyIJBkifM/cgUTl0wj193PS7+4GytnMPGCRXTv6mTzfS+WDOeEJFj4lpVMWj4HLeSV+IZiYbLpHM8/8CK/vfGPJUNVIQmu+uCVXHDdeUSGlBHD4OQrWsXD5FQmmUxx958e5Ltf/2GpLUGSJD7x+Q/y1ndfQ7zGn9ycjriuS9e2/YQUkDS54j5CkXCKZsWpDs9Hw7BsFFWhv7MfWZJQwwFsy0aWwBjwD4noSLJELlMo5ei6gAxIQhCOabgOGHkbSQjPSHkggebQc5AEtul41SeGiazIyJaE4dgjmkAOIOs6Rn8CXBtE+ecUiop9mAoR8NpmCr29VQ2ffXyOJ7neJKtvvpd0x2CMbaAmwpIPv4HwkJSzdFc/z/z8Hnp3dwzuFwtx3iffSN3EZtTiQkB/Vz+//Ndfs3nV1tJ+oWiIz/znx5k4a/wwUUTVVVS9stHwUBRNJVpXvl8gEqjYOnO0JPqT/P43f+FH//nL0nUuyzJf/JdP8fprLyEWG/0Pkj6nB5neJLuf38zLf3m6ZJoshGDOG5Yz+ew5hOtG7xysr6ufp+55lrt+cc/gZ5MEV33wCs55/QpqG2tO7gn6+JxC+B4iPsfMwa37WfvX58rcGB3b4dGf3E2qs5/VN9+LlTPQIkGCjTVs+tsLZe77ruOy+nePkjrYW3bczr2d/N9//r4sXcZ1XO686W72VsiLH83s3rmPb3/1xrL0HMdx+OF/3MSWjdtP4pn5nEz69nZiZr1IWlFhlRi89IiBFIpURz9yQMN1QdFkuvd6lR26IhevOYFjWkiyIBQrGqZmzNLDlgO4uGiKQjgWANfFKJglDwTPQJUhHgdFgUSWcF0bWZOxCxZCkZCLY0ciiEi6DrjY+eHxu5Ki4hiF4S86BCUaxTEMrGz2sPv6+LwSjGyel//waJkYApDvT/PSzfdQSGa8P6dyrLn98TIxBLxo7Cf++8+kiolQRsHk7l/dVyaGAGRTWW787H/TV9zvVGPLph388D9uKrvGbdvm21+9kV079pzEM/PxOTrSXQnW/+mpsgQp13XZcNczpA6ObsPu9j0d3Pnzu8s/m+Ny50330L67cgS4j8/pii+I+BwT+VSO1X9+uur4xofWUDt5DADN86ey86kNVffd/MCqUqKGUTB54HePVN333l/fTy792jBQLOQL3Prz31Ud/8X//C/pVOZVPCOfU4X9a3agqDJCkatWPXgeIoMVInJx1VhWFLL9GVwBZrYARdFDclwUSSIU03EcFzNvlSpEwBNFVEUmGtdBiJJ/iGBA/nAHq7uKL5OEBC4EogEaxsYYM76WCTObmDCxnnBQGzGOG7w0GSEJrNxwQUQoCq5l4R5GWFEjUe98e3tG3M/H55ViZnL07dhfcSzXk6SQ8kS5QjrLgTU7K+6XT2bJ9CQBSPWleOruZysfL5Nn/44Dx+Gsjy+ZdIZf/Og3Vcd/9fPfkc8dXsj08TnZ5FNZtj74UtXxLQ++RC45Oudg6USah35bfS790O8eJZ1Iv4pn5ONzauMLIj7HhG1ZZPqqf5mmuhIoRb8PNRQg119932xvsmQOaRkmPYdUjAylr7Mf0xge0zkaKRQMDu7vqDp+sL2LQuHwLQM+rz0OrN1BqDaCpFRulwGQFAnXtnFsh0x3AqHKSIpMIZvHsWxUXcMxHSQBrhDIAmQhCEUDGFnv92qo1OK4oGkKgZAGuBQK9rAemcGYX28gGFGZesZYxk6oIVofRpIFsixTXx9l0pQGjP4+7BGqPIQQSJqGnRte3SGpA0kzIz9cCUlCDUfI91b/3vDxOR7YhjXiuFmMfbcL1ohi4MD90DRMrBGO2dtx6q1QFwoGB9u7qo637++gUPAFEZ9TH8swR5yb5vrTWIXROd/M5wv0dyeqjvd19ZPP+/NLH58BfEHE55hQAzqNU8ZUHR8zcxzZrn4Ast391E5oqrpvw7RWZN3rp9ZDOjMWTqu675S5kwiEX3kP9KlAKBRk8Znzq44vWDzntDRWPd3JJdL07+smEAsjydUFEVEcy/b041g2jiShqDK9+3twAU2RkBSvgsOVBLIQSBKEYgHyWRPpkMoTx4VAREUIr6zWNOzyN3Qpa2OrqQ/ROqkOIQRd7Uk69iboOZCga18/bVs72LunByEEViqJmUpWfUCUNB07l4NDUmkGonePxEdEicUw+vtwbfuw+/r4HCtKQC+lKVUiUExiU4LlZuGHEmvxkl30gFYWK38o46e3HuOZnjjC4RALl1Q3MF585gLCYf++5XPqo4UC1E5sqTpeO7EZfZTON8OxMBNmja86PnHWBCIx/zr18RnAF0R8jgktqLHkTedULOdXgxpTV8zGzHitLZ0vtzF5+ZyKq92yqjDt/PnIxTFZljn3DSvQKkwmZUXmsnddjKZXn2iOJhRV4U3vuIpAQK849v6/e3vFMZ/XNgc37gZAC4388DVwPaU7+gGwXRdZVek90IPj2GA6KAHV8/2QBOAiCYlQXKeQNRGHHNoFAmHPh6SQP2TVWnjjA6LGuCkN1DWGSScLtO/qpZA1PPHFGWypyect5FAIORDEMQqYyf6K7S9yQMd1XOxCeduMkGUQAucIVpu1WAwch0Lfqbei7vPaQY+GmHDOGRXHGudOQo14Jt/BmggzLl5ccb/6KWMIFB9E4g1x3viRN1Tcr3XqWBpeYRLMiUAP6LzvI2+rmOQWCOi8+Z1XjaqUN5/TFy2oM/3CBcjq8LmppMjMvGgRWmh0CiLBYICL3nwBijb8WlQ0hYvecgGB4Oj8bD4+JwJfEPE5ZuItdVz55bcRa64pbWuY3MLVX30XsaZaFn/oDTTOmYRjO+x5Yg1nf+RKYmPqBl/f2sCFX3gL4YZyF+/6ljr+4UefYdy0wdWxlgnNfO77n6KxteGEf65Xk9bxLdz8hx8wY/bU0rbJ0ybyi9/eyLiJY0/imfmcLDo27iHaXItw3VIVSCUGxJJMTxI1qGGaFrIsMHIGsiR7cbjFyZDjgm27yIogGNHJZ4yKYmYgooHjYhTKW2MkWcLFRULQOrmB+qYofT1ZUok8yALHdUvnIyRPf3Fdp9QSI4fCuLaNmUwME0UkVQMEdqbcG0gIgaRqR2SsKukBJE2n0FO9lN/H55UiawqTVi5k8kWLkYvXlpAlWs+aw+w3nl96eFJ1lSlnz2XuVStKaTJCkhi/dAbLP3g54XrvnidJEotWLuCdn3sr4aJIIiTBopUL+OS/f5R4ffwkfMrDM27iWH752+8zedrE0rYZs6fyyz/8gNbx1VfcfXxONcJ1UVZ+5k3Eh4iPsTH1rPzMtYTqR2/CDEBjaz1/f8MnGDt5sJp77OQxfOa/Pk7DmFNPbPXxOZkI93CudyeQb3/729xxxx1s3ryZYDDI2Wefzb//+78zc+bMqq959NFHufDCC4dt37RpE7NmzTqi9z0dM9td1yXTl8bIFpAViUA0iB4ejKw1cwWsXB7XcVB0DS0aPuJjp7r6MbIFhBBo4QCyLGHkCsiagiTLZFM5bMNCD+vo4QBmOg8CtHCAQLR6yV6qL0UmmcXFJRwNERsSf5ZL58j0pTELppep3hA/oihCgHQyQzqRxrZsQpHQKRE91tvTR6I/heu6xONR6hvrDv+i1yCn47U5FNd1+csXf0bTjHFotoFjmDQunFFxXyOZ4eDzG7BDEYyCRU8iQy6ZI5/JEVAVtKCGHtBwsgUsRUYyLWK1Qc68eg5bnt9LNlEgP6QFxnYczjhzHJF4gJ6DaZL9xYoN2wZZQrgutU1R6sfV0Hmgn2LADWbOa2nRo0HsXAHbsjEtB0uCeWcNfie7to2VzSBkGTVWUybI5Du7EIpCqHVc2WfMd3YALtEp1dvoBsju34eR6Kfp7HP9+N0TwOl+bQ7FtmyMVBa7YCJrClokhIuLkcrimCaSoqCGgwhFItubxsobyJpKIBpEDWrkEhmsvImsyujREJIqk+hOks/mUTWVSG0EXddI96Yo5AooqkIoHkKvsFo9/N4eQgvp9HUlyKWzyKpCNB4mHAuT7ElSyOSRZIlQLEQwGiLVmyKfziHJEsFoiNBRlNH3dPeS6E8hhCBeE6OuvuY4/i37HCn+tfnKyfYkil52LpKqEjpFxchjoftAd+k+rQY1Gsa+thYWfXyOBye1rvGxxx7jE5/4BMuWLcOyLL7yla9w6aWXsnHjRsLhkR/It2zZUvbF39jYeKJPd9RSyOTZt34XT976QMkIddy8Saz88GXEW+rI9SZou/dpUnu9GC4tFmbSJcuJThiDMoLIYBkmvW0HeeE3D5IuxgPWTWxm3tUr2Hz/KqZdvJin/vw0217Yiuu4hGIhXvf+S5h19hxCIwghA0RroxX7q/s7+nj0fx/m5cfW41g2WlDnrGuWs/jypcQPI2607z7IL779G7as3gZ41Sjv+4d3MGvxDIInsTSyrr6Wuvrak/b+PqcGqYO9FJJZasc3kdq+CzGCqerAWCGRJthYh9HZj2VYSJJAQkIJ6p6nhiRwi8JHMOa1YBWyBYZpBgIvchcwC8ONHgMRnbrWOH3dKVL9OYLF9gAhCezi8YUiIyyn2KFTXgkiZBk5GMLOZrDSKZRItCRcSLqOlU7hZd0MFi5KqoqVSR3R350aryHf1YmZTKDFa47oNT4+x4KsyASH3JvyiTRda7fS8eJGbMNESBJ1sycz7rxFxJoHv9fzqRzbHl3Lxr8+6y0iSILxS6az4LrzqRuyXy6VY93Da3j41gfIJjIISTD9zJlc+pErqWmqKe1XyOTZu66NJ3/1INnivX3ZO1ZCLMCv/+t3pdjeN3/0GmbNmczffnI3iS7PaHHCvIlc/nev576b7mX3ujYAxs2ewFWfvoaG8Y1HJCrWN9RR33B6ivc+rw3MfIFcVz+77n+GXJfXchlsqGHipSsINNRUFCFHC/l0ns7dHdzzo7voLEaAN01s5sqPv4GmSS0EIqP3s/n4HG9OasvM3/72N97//vczd+5cFixYwM0338yePXtYtWrVYV/b1NRES0tL6UceobT8dKdzRzv33finslSYfS/v4i/f/D+SHX1s+t97S2IIeCvPW29/iGznyDGWqY5+Hr3x9pIYAtC7u4Nnfn4PZ7zpPO76n7+y9bktpQz0bDLLX3/wF7a/uPWwcZzVSHYnuOsHf2bdQ2tKiRdGrsATv32MF/76HEauugFj98Ee/vX675XEEICeg7381+d/xJ5t+47pfHx8jiedW/d5q62tDTimhTSSh0hxzMwW0GMhzLyBZZjISCB55f2u7YIkldpUglEd23KGtMQMEgyqSLIA18U6xFBVkgUtk+sxsib9nely+1MhwHEA1/MRAWQhUSktV1IU5KDnKWLnB1tkSj4i+fL2GElVvejdIzBLVcJhhKqS7+w87L4+PscLs2DQ+dImDjy9FruYgOY6Dj0bdrDz3qfIF6MtHdthzwubWfP7xzCKaTSu47Lnha089ZO7yuI9d6zaxl9/8GeyiUxpv63Pbua2f/kVqd5kab+Obfu5//t/Lokh0cY4IqLzgy/9tCSG1DTEmTxtHL/75v+VxBCAPS/v5jf/71bOunpFadu+TXu45Ys3kRhyT/fxeS1jJLNs/t19JTEEINfdz5bf3Y+VHp5+NppIdif49VduKYkhAJ27O/j1P99KYoQEGh+f05FTykMkkfAu0Lq6w684LFq0iDFjxnDRRRfxyCPVs7ZPd7KJDE//5qGKY+meFJ07DlSN9tz7yItYuXzFMTNvsOGvz5bEjqEISdDf2U/33sr9/A/d/ACp3iNb9T2UbCJL25qdFceev+s5kj3JimMAm1ZtIVnlfX/333eQTozOvHmf1w5d2/YTbalF0RQcyz6Mh4g3JoQgEA1i5D1fEFWWkALaoFAhBKJ4nQajOoWMgUAcmqhLOOqtFhmGg3AHE3ddoGl8LUJAojPlpdMMETQlqbin43oGIgKQQKqWKqNqXtRuNoNjeg+QkqYhJIGVLZ+ACnUgaebwPiJCCLR4DbnOjmMWXH18jhYznaNj1aaKY6nd7Vg573c3n0iz4a/PVtyvd3cHuV5P1Ej1JHn41vsr7tezr5ve/d5CRTaR4anfPFw2Pu38efzlV38r23bh1efy4p2V3zebyNC7v5umic2lbblUjm0vbKm4v4/PawkjV6DjpU241nDB3bVtDr6wESNbeQ58qpNNZ3n+rmexzeHVnrZp8fydz5Id5YKPj8/x5JQRRFzX5XOf+xznnnsu8+bNq7rfmDFj+NnPfsbtt9/OHXfcwcyZM7nooot4/PHHq76mUCiQTCbLfk4XbNOiZ091o8EDm/YSqKvcc5o52I1tVl6ZNfMGvbvaK46F6+Mc2La/6numepKYx5h/3newt+qYVTDJH2LMOJT1z22sOta2aTeF/OEfunyOL6fztXkoruvStXUf8WJ/r2NaVcVKGDRVFQLUcBDXdlAVz/xUjwQ80cJxQPLEDxcIxgIUsqYnkhyiiIRjGo7tYhZMz0BVALhE60JEa0P0daZxbAcBCATuQJ1I8UDOQMKMNCC2VC+5l/QAQpYx08kh5qs6VqZclPQMVzmipBkArbYWxzAw+v20mVeKf20eGXa+UKpWrES+z/t7MwsmRqb6w1XiQHdpv2R39b/rA1u9e6ttWPTt6y4bi4+pZfeWvWXbWieP4eCOyvdqgPYd7dSPK/cU2Ll654ifyefk4l+bxwcrlyfT3l11PHOwGzM7OueFhVS+9F1RiQPb9pFPjU6xx8fnRHDKCCKf/OQnWbduHbfddtuI+82cOZOPfOQjLF68mBUrVvA///M/vP71r+d73/te1dd8+9vfJh6Pl37Gj6+ezf1aQ5IkgiOYpMWaakorWIeiRkIIqfJDjazIBOORimOFTG5ELw9FV485li9cM4K3jBDoI8TUjhkpb74h7rddnQRO52vzUDI9SXKJDDXFhxPXskeM3RVCgBDIiozjOAgEipCwHNdrp3FdcIupu5LAFYJwPEA+U0CIongx5HjhWAABXjtNsULEFdA0oZZMIkc+44mYLgJJeA9kQOk7opQeo8jeuVT57hg4dzkYAsfBSnsr41IggJ3LgzP4ICYkCSErwyJ5q6GEwki6Tu7gwcPv7DMi/rV5ZEjayGbeatG8XFYVhFT9eg7WRor7ySMahMeLqW5C9szRh1JI56lpKDeDTPaniNYN9+IaIFoXJZcqXymuHVs3ohjrc3Lxr83jg6SoqCP42amREFKF2NrRgBJQidaPfN2rgSMLIvDxOR04JQSRT33qU9x555088sgjjBs37vAvOITly5ezbdu2quNf/vKXSSQSpZ+9e/dW3fe1RqgmwqKrllcck2SJiUumkemoXHUxdsX80mTuUPRIkDlXnlVxLNubYuyMVrSgVnF8yWVLCddWFlMOR7Q+Rqyxsvv31EVTCcYqny/A8ouXVhV4rnr/FcMmkj4nntP52jyU7u0HAIiPrcd1XRzLPqKHEllXSXT2oxYFPVctvqZodDogVCgBBT2okksbJSFkaJVIJKaD8AQRpzjW1BoHBP1dg61mQoCEwBgQRMSAIDJQISLh4CILacTWFSFJyIGin4hRQAkEABcrW17lJakqdv7IBBEhBHptHfnODhxreKmwz5HjX5tHhhrUiU1urTimxcJoEe+BKxANMeHMygl6WjhAtGiqGq6JsPiKZZXfK6Axdrr3XqGaMAveUH4Pbnt6Exdft7Js2+N3P8OCy5ZUPJ6QBJMXTmX3y7uGbBQsumRxxf19Tg38a/P4EIiFaFk6p+p4y9I5BGNHnrh4KhGtjXLWG8+uOr78jedUDC3w8TldOamCiOu6fPKTn+SOO+7g4YcfZvLkycd0nNWrVzNmzJiq47quE4vFyn5OF4QkmHHeXKaumF22XdEUrvziWwjXRZlx3euGpVk0nDGN2hkTR3Sab5g2hpmXLilbZpZkiQVvOo+O9W286R/egh4ud7GesmgqZ7/53GOuEKltqePt/+9dRA5Z8Wqe3MIVH3sDkRG+4Oua6/jMd65HPUTxX3nVOSw+f8ExnY/PK+N0vjYPpXvnAUJ1MdSgXuppruQh4rouve29bH1uM7bt4DoOB3e0o8gShm0Pri4XBYqBhJlwMWEmW/QQgcFLVwsoKJoMrleyDxAI69Q0Rkl0p3Fsd9BItfgi4bo4A1UhklT6byEJXNtFkkVFY9WhCFVFyApWOo2QJYSiYGbSh+yj4RxhhQiAVleP6zjkOvwqkVeCf20eGVokxKRLlhNsLE8JUyNBpl93EcFiS6qiq8x/4znUTy2fq2jhACs/cx2h4r1LURWWv/FspiyaWrafHtJ55zfeS6zBO54kScxaeQZTlw9GWx/cup/Jk8ey4tIzS9t2bd4DAYX5Fy8qO56sKlz92et46b4XS2KmrMhc9w9vJj4kycbn1MO/No8fWixC63mLy1cHhGDs2QvQq7STjxZqx9RxwbtfV7YQKCTByne9jtqxfjqUj89QhHsS3ec+/vGP83//93/85S9/YebMwZWTeDxOMOit9H/5y19m//79/OpXvwLgxhtvZNKkScydOxfDMPjNb37Dd77zHW6//Xauu+66I3rf0zGzPZ/Kke1P07WrAz0coG58I+HaMLLimTca6Sy57j7sgkm4uR41HEQJVm8/GcDIFcgnMvTu7kBWFWrGNWBbNom9XUSaapACGr0H+8j0Z2ia1ES0LkY4/soV9972XvoO9pLo6KdhfCOxxhg1TYePrTUNk/7uBPt2HCCXzTNx5nhq6mKER+kqwGuN0/HaHOBv3/g1wZoIsy9bipnLs/2OR2hcML3sQauQKbD+0bX0HOhBC2hMbAyTzVsc6EijyhKpXJ66sXVoAR03V8AtmFiOC47L2BkNzDt7Ii/evxVFeA9UecvBdqG2McyMhS1YBZu9O72KsQkzm3Bx6dzTD3hpNQpgOg627XrbZAk9qGPmDBBe5RiuQ7Y/i6bIjJk5jsAIVVvgVbBY6RSSHsA1bKxCnuiUKQwoL2YqidHTRXzOGSO2HAwl1bYD17JoWHbWEcWH+hye0/narEQhncXKm8iaQiAWJt+fwkznyPX0o8XC6PFoSQwZSj6ZJdufJnmgm2BNhGhTDcHa6LDf02wiQ6o3RefuDkLxMA2tDUTro0iHiKT5VJZsf4buXR3o0SC1rfUIVSbZl2b31r2EIkFap4whFAqSS2Zp33EAPajTOKkZPaiRTeY4uP0AakClaVIzkboo6mHagHxOLfxr85WR60/jmibpgz3guoTHNCCpKsGaY6tkPpVIdCUwcgXatx/AdV3GTm9FC+rEq1Ra+/icrpzU5rgf//jHAFxwwQVl22+++Wbe//73A9De3s6ePXtKY4Zh8IUvfIH9+/cTDAaZO3cud999N1deeeWrddqjDtdxcAyD7jWbybT3kJMEAWahB8YjRxUkRSZQEyVQc/Tlc0Yqx55nNtC3uwMhBPk5Exm7eAYTzxqsSKkdU388Pw4AdWPqqBtz9Aq3qqk0jm2gcWzD4Xf28XmVMPMGiQM9tMyZCIBTNDMeWrmVSWR48a/P4zgOM5bOINoQI7lhB6FYELU7i+U4yLKMrHhf667tghBIroODVyGSzxo4josrFytEiokxA4aqRsFrM4nVh1ADCt37+r398ExZXQarSiQEpmnhBr2EGLtYiYIQ2I6Di0SqN3VYQURIElIggJPPI+lB3IyFXSgg61512YCxql0ooARHPtYAgYZGUju2Y/T3odf6K2E+x49COkems5+t979Aqr2HUH2M6ZcsJVATYdN9L5LvT6PoKtMuWoysq2iHtJ0GYiECsRB1E5pGfJ9QPEwoHqZ5cnXvK/BacQLREHXjG8u2R2uitE4ur0YJx8M0HLJfKBamYZx/P/Q5fXFMi73PbyHZ3gMCos3djD9r9uFfOAoYED4aD/N94+NzunNSBZEjKU655ZZbyv78xS9+kS9+8Ysn6Ixem+R6Erz00z9jG2ZpW2JPB3UzJzDzmpVokSN7yDiUdGc/T//3HRSSg4ZsfW3tHFiznaUfuIKw78nh43NE9O7uANclVhT5nGJU3sBqcCFb4MW7n0dIgtkr5qIFVMxsAdd1sYstLqZtIwSku1PEm2KlyF0ABJ6hatoAIXBckIZE63qRuy5G3kSSBfVjYmSTeeyCNaiGUDrU4H8L4SVRCbz3K0omA+JJPp31zFcFCElGkitXa0iqhmuaOKYXHWwkEmhRF6HIJdNKJ5+DIxRElEgUORAkvWePL4j4HDccy6Fn2z5W3XpfaVs+keG5n97FjMuWIYC+XV6rVteWvcy56mymrJyPolf20/Lx8Tm5ZLr6ee6nd5HpTpS2daxv48DqbSy//mrCIwQE+Pj4vHY4JUxVfU4cVsFg5wPPl4khA/Ru2UOu79ji2kzDZNeT68rEkAGS+7vpqxLJ6+PjM5yene3ImkK4WGI/YAgqFBnXcVn70Gocy2H6mTPRis7wVsH0gmRsB6to1iEpMrZpkuxOFQWR4hsUE2ZyGc9QdUCLHtBLwjEdISSMvE1dSwwhBInuDF7A7qCIMVTDdgFJCMyCiTRwoOIOelChvilCQ2MIo68Xo7eXQncX+e4ejP4kZjqLXShgGyZ2wcTO5XFtB9e2QBaY/X2kd+8itWMH6bY2kCSsfPVI7UMRQhBoasbo7cFMpQ7/Ah+fIyDXn2T97Y9XHNv+4ComHLKqvOnuZymkjvz31sfH59XDtm0Ort9ZJoYMkO1JcmDNdmzbj5/28Tkd8AWR1zhWzqBny56q490b2o7puEYyw8H11V+7f9VWzPzozG/38Xm16dnZTqylrmR+NlghItG2dif9B/uZsmgq+pDkJjtv4LpFUUOScF1QNJVgPIyZN3Adt2SWKCkSoYhOLu1dkwO6hgA0XUbVZXBdbMch3hAm2ZvBsb2Kj5K1gUvxz8UNkgAEjuPgFIUQx3YJBiRaW2uQJIl0Io+NghKJoIRCSIqCY1lYmQxGfwKjrw+jvw8zlcIuGJ5ViaqAEASaGgk0NiCpGo5pYfT04B7F5FSrrUXSdVJtO4/638PHpxJGJo+RrixwOLaDlS8gqYNtbq7jkO7se7VOz8fH5ygoJLIcWLuj6viBNdsp9GdexTPy8fE5WYzOgG2fI0cMpj5U4khiPSsfVyDk6nqapMhHbIDo43M647ouPW3tJf8QGPQQyaXy7HhpG81TW4jWl3v8pLsTyK6DXLzOXFwUTUHVFAKRgNfFYjs4LkTjQYQkyKWMwffFU8QDsUDpPGqaotiWQ7Ivi1TUywc7ZtxiQ4y3xXUFEl41hmlYSEAwIBMOKqTTBbKpAooiI9J5gkP8ieSBYzkuLo5XgyIJwIvpdY0ckqrgmBZqNIIcDGIm+rHzeRJbthCfPQshDv/dIoQg2DyGzJ5dXgtO3G/h83llHO6eJiS5JEIOcKgJqo+Pz6mBkAXSCNe0pMhF4d/Hx+e1jv/E+hpHDQZoXjC96njj3CnHdNxgPMq4ZbOqjo8/aw6K71Tv43NYsj1JCqkcsZZBr4uBCpFNz25GC+q0Tm8te42ZM8gnMrgIJElgu17LjFIUOPVi9K5jO+C6RGo80WOgQgQoqhyCcEzHsV0syyVSG6K/KwUuOEUz1rL5oDu0YsR78PPsQxx0XSEa1SgYDqlUwWvncT3/E2dY/q7wzFQlBSHJDNyKhBAIRfNaf4a0yEiBgCe8ZDJk9uw94r9brbYWORgkuX3rEXlW+fiMhBrSCdZVNh9XdLW4+DD4uy6riu+l5eNzihKMRxi/vLp56oSzZpfisH18fF7b+ILIaxxZU5i4cjF6hVjZcWefgX6MEbiSIjFuyQyiFRJkmuZOIjb2+CfL+Pi8Fulp80wYywQRywJJore9hwlzJiINqcZyXTiwcTeSELguSMWHMCE8cWRgJ5fimOsSiukYebMYl1vcpdgOE4npuI6LGlQp5AyyqUHRxHEGakOKf6bcVNUVAkl4q2x1jRFMwyFveOauLnhVIK7XanDESJ6oI4Q72DqkeAKPXhMn19GBmToy7yMhBKGx4zCTSXIdB4/8HHx8KhCuj7PoXReXtcUAIARz3nguOx9bO2QbLH7PJRXvvT4+PqcG9VNbqZsydtj22kktNMwYfxLOyMfn1ePRRx9FCEF/f/9h973llluoqak54ed0pEyaNIkbb7zxuB3Pb5k5DQjURln44avp3b6P7g07UYI6rcvnEWqsRQ3qx3zccEOcZR+6kt6d7ex/aSuSLDFhxVxiY+sJFc0hfXx8RqZn10ECsTBaOFDaZhsmlmkRb4gTbypfYe7Z3UmmN0MsqmPbDpKk4DgukjIomogBcxHXxXE909RsqjBY3cGgyBGO6ciqjKwpdO/p9V7PYCSvF7ArBn1HxJD4XQkkWxCvCyIrEr3dGZSg5o0OVK2oMvl0jkA0dER/H0IIUDRcs4CVSaPV1CBkGSQJSdOQA0FSbbuoPWPeEbXOqNEoWk0Nqe3bCNQ3IKl+5ZrPsRMf18T5X3gbHS/vwszmkTWV5jMmo2gq2d4USIJocy2Tz51PqD6GfKh44uPjc8oQboiz8J0XkTrYUzJA1iIBYmMa/Ooun1HDLbfcwt///d8fkbAx2ni1PpsviIwibNPEMQrku7vAdQnUNyDrASTt8JF+gZooY5fOpnn+NBBgpnN0b2wjfbCbaGsTNRPHoNdEBg0TjxBZU4iNayRQGwUJtFAQRT+xDxy2ZZPpTbFv3U569/fQMmMcLdNbiTT4IozP6KOnrZ1YS23Ztt793Vi2w7hZ5StU2f4MXTsOEGuJQzqHaRbTZSSBrAz5Oh9SyuEKiNYESfYOT4TSAgqKJiOpCvlMAadgowipFJvrHcOrJHFKG4dUibggKxLRWIBspoBl2ii6J5rYxZ0lTaaQzhf9Qo6sKFHIChgFXNvEdRyvvUZRcYwCwZYm0rt2k+/qItjUfETHC7WOI7F5E8nt26iZPeeIXuNz6uDaNrZpYPT2YBfyaLEaL1pZP3ZB/1hRdBVVV4k2RknuzRKuC6MFNfRYhFlXnIVtWkiKVNU7JNnRR+eOdto37yXaGGfSkumEayOvaHHCx+dE45gmdqFAvqc4/2xoRNZ1JHX0R0oLSRCIhkjtOQi4xMdMgaOcC/v4+Ixu/JaZUYJjGmT27qZv3WpyB/aRa99P38trSbZtxzaMwx+giKQqZDv7efFHt7P1L49z4LmNbLnjUV788e1kOnqP6pxyiQzP3Xo/f/v6r3j4e7/n4e/+nr997VY2/u0FClWc+F8pju3Quf0Af/jiL3jy5gfYeP9LPPzfd/Kn/3cr/Qd6Tsh7+vicKBzbpn9PF9Exg+0ytmXTu68bSVEIxQerKizDZv/6NrRQgGhx5WrAm0OWBMrQlWh3qI+BTCimkxtohXFdcFxcxyEY073qCwGJzjSO6+IMCBl4tSFQrNrAHebD4bou0ZoAruOSy3ntLWbBGDSfFAJJknEcFyNzdKlTQvYEHivtxeYK1RNEJF1HjcXI7j+A6xxZ6oykagTHjCV3sJ1Cr/89MZpwHQcjmaB3zSrSu9vIHWwnsXUTfS+vLfOZebXIdPay6id3sPmPj3DguY1su+tJXvzvP5Da3wl4gkk1MaT/QA93fes2Hv7RXWx6aA3P//Yx/vClX7J/4x6M/JHfx318Xk1s0yC9p42+9UPmn+vXkGrbeVTzz1ORbE+SXQ+9wNpf3MmBZ1/mwLMbWPvLu2h74DmyPcPjeH18TgQXXHABn/zkJ/nkJz9JTU0N9fX1/PM//3NpzmUYBl/84hdpbW0lHA5z1lln8eijjwJe28sHPvABEomE58MmBF/72tcA+M1vfsPSpUuJRqO0tLTwzne+k87OzuN23nfddRdLliwhEAgwZcoUvv71r2NZVmlcCMFNN93EtddeSygUYvr06dx5551lx7jzzjuZPn06wWCQCy+8kFtvvbXUxjPSZwPIZrN88IMfJBqNMmHCBH72s58d82fxBZFRgpXNku9oH7bd6O3BTPYf8XGMVJYNt92PbZhl2+28wcbfPkAhNXwVuRoH1rdx8OVdw7ZvuX8VqY4TEzWY7U9z/3/dgW1aZdtzySwP/89fyR/F+fv4nGwS+3uwTavMP2T7qm24to0WGlwxdl048PIuHNuhYXIzrlUUAoqeIZIkkNWhFSKeeOG4EKsNIoQglyogBqo8ihUf0bogQpZwTBvTsL2UF9fFy39xS5UiUjFqxikZqQoQIMsS4YhOtih2CMA0Bq9NSRI4jo2syBRSR+EjAkiaimvZuJaJY5peq4vr4poGen09jmmS7+o+4uPp9Q2okSj9mzbhmObhX+BzSmAbBomtm0omvgM4RoFU2w7Pb+dVwkjn2PSHh7Gy5eKeY9psuO1+CqnqEZ3ZRIanbn2QTE+qbLtrOzz0wzvJ9aVPyDn7+LxSrHSafGfHsO2Fni6sI/RzOlVJH+yma/3w6N2ejW2kDhz5/cXH55Vy6623oigKzz33HD/4wQ+44YYbuOmmmwD4wAc+wFNPPcVvf/tb1q1bx1ve8hYuv/xytm3bxtlnn82NN95ILBajvb2d9vZ2vvCFLwCekPLNb36TtWvX8uc//5m2tjbe//73H5fzve+++3j3u9/Npz/9aTZu3MhPf/pTbrnlFr71rW+V7ff1r3+dt771raxbt44rr7ySd73rXfT2egvwu3bt4s1vfjNvfOMbWbNmDR/96Ef5yle+UnrtSJ8N4D//8z9ZunQpq1ev5uMf/zgf+9jH2Lx58zF9Hl8QGQU4tk22fX/V8eyB/dhHOME3MjkKycqTtlxvEjNzZCtu+VSWrQ++VHV82yNrcKwjW709GlJdCQpVDBq72w6SS/qCiM/ooaetHSEE0aYaAGzb4eVH1xGMBMsEju6dB0n3pKif3IKiqTimheu6iKLZqCwJZHnQUFWAp3i4eBUcrksuVcBxXVzhmaW6tkO8JQYu5Iekzwxtm3NxS8+hclF8GbAnwYVoTMdxXfJZE9u2S68fuPaFJLBNGzWkkUvlGHQuORIkhKzgOi5WNg3FliA7n0fWNdRolFx7+xGnxwghCE2YiGtbJLZtPYrz8DmZ2Jk0DEsp8jD6+3CsV0/cMrO5qpWUZiaPMYIgX0jn2L9hV8Ux27To2XP8Vu18fI4Xh51/tu9/VUXJ40k+maH9hY1Vx9uf30Au4QuVPq8O48eP54YbbmDmzJm8613v4lOf+hQ33HADO3bs4LbbbuMPf/gD5513HlOnTuULX/gC5557LjfffDOaphGPxxFC0NLSQktLC5FIBIAPfvCDXHHFFUyZMoXly5fzgx/8gHvvvZd0+pX/Xn/rW9/iS1/6Eu973/uYMmUKl1xyCd/85jf56U9/Wrbf+9//ft7xjncwbdo0/u3f/o1MJsPzzz8PwE9+8hNmzpzJf/zHfzBz5kze/va3lwk2I302gCuvvJKPf/zjTJs2jX/8x3+koaGhVDlztPiCyGjAdXFHuOG4tjVs9awahxMpjlTEcG0HM1e9BN7I5CtEbb5yzMOUFZ8IEcbH50TR03aQSGO8JH60rd1Buj9NMKwjisky6e4kXTsPUtNaR7BoTGrlDVzXLUVbS5IXY+s6Lk6h/AExWhcinzGwBxJjHBfHcYg3R1EDKo5lY5k21cQKt2gmIhCosuwVmBTFkXBUJ5ctvl/xchdiMJ2GoiCiBzUcx8HIHmXbjOqJP9g2rmEgVA077wmiWl0dtmFg9B15NZqsaYRax5HvOEiuwoqnz6mHYx/mYcs5GpHtleFYI9/TDq28LH+tPaIeWEgfXQWVj8+rguN4c8xqw0cx/zzVcCwba4Q5pZU3/Dmlz6vG8uXLyxakVqxYwbZt23jxxRdxXZcZM2YQiURKP4899hg7dgyvbhrK6tWrueaaa5g4cSLRaJQLLrgAgD179rzi8121ahXf+MY3ys7pIx/5CO3t7WSzg4sD8+fPL/13OBwmGo2W2na2bNnCsmXLyo575plnHvE5DD32gGhyrC1BvqnqKEDIMnpdfdWoSa22Dkk5sn9KLeyVyLv28ImdpMpo4eARHUcNBWiZO5G2pzZUHB+3ZHrpYe14Em+u9eryK9x/9XAAPXJk5+/jcyrQ09Ze8g9xXZeXH11P44QmJEBIEkbOYP/LuwjGQ8SHGK+aOQPbAVmTARtVkbCzBRzLRhYCimKK4zpE60JlUbquC5IsM3n+GFzHAcfBNqs/6LkMRu8O3KwFXlyvJAS5nPcQWLqPuyAJUWqvcR0XSZaRFYl8KocWCnCkSIqCXTywncsgVA0nl/PEoGAAORAk13EQva7uMEcaRKutw0gkSGzZjBavOSnGnD5HjhqOVh2TNB2hvHopLmpIR9ZV7EIF4UMIAjWR4dsHXhvQCNdFyfSmKo43Tm05Xqfp43PcEIqCXluPVWVFWa+t83yoRiF6LETt1HGkq7TG1Ewdh36E6Wg+PicSWZZZtWoV8iHX2tBqiUPJZDJceumlXHrppfzmN7+hsbGRPXv2cNlll2EcB+8fx3H4+te/znXXXTdsLBAYnOephyT7CSFKC+au6w4L8zjSqt/DHfto8StERgFCCPT6hopu3kKWCbWMHTQxPAxaJMj48xZWHJt4wRLUIxQUFE1h9mXLKibKhGqjtMyZeETHOVoC8RCzX7ew4thZ77yA0AgTUh+fUwkjmyd1sK/kH7J3814SXf1MXjAF17ZBkti/rg1JkmiY1MyQbBdsw/LSovImrusS0BQcy0HSFCRVKemFLp5PSDbpCSJO0R+kdXoDWlDFMb3VL9t0DpswJQTYRbNWSQii0QCFvIljO8XiEAFClKpHJAR2cXXNtmzUkE4uebRtMwJJKz6Aum7pxyl4n0evq8FMpbGyR94qJ4QgPH4CCEH/po1HdfP1efWRNA2trr7iWGTyVGTt1RO0tGiIyRdXXr1qXT4XNVT9/hlpjLP8nRdWHJu4ZBrBWPi4nKOPz/FECEGgoanUnlk2pigEmlqOeP55qiErCs0LZ6BWEOmVoM6YJbNOyMKej08lnn322WF/nj59OosWLcK2bTo7O5k2bVrZT0uLJ6RrmlZqWx5g8+bNdHd3853vfIfzzjuPWbNmHVdD1cWLF7Nly5Zh5zRt2jSkI/xOmDVrFi+88ELZthdffLHsz5U+24lgdH6LnYbIeoCaefMJNDaVlmK1unpqz1iIpB/5iqusqYw7ay4zr7sAvSgeBGqjzHrz6xizZFa5MeNhCDfGufjL72DsgikIIZAUmSnnzuPCL7yFcN2JicDVQwGWvulcznn/JSXxo2ZsPZd9/k1MXjYTSfZ/pX1GB727vJaNWLFCZMNj66htrqG2pRbXdkj3JMmnczRMaUE6dBXc8QQMM5X1qpWFQA5piEMqxYJRHVVTyCSL5fiuSyiq0zqjgULGwLYc78cZWRBxGDRWxR2I65VKyTJQ8ncFvGQbEFjGgOBioYf0YtvMUZqrqlqxrEXBNQ2QJOycJ4AokSiSrJDrOrqbvKQohMdPwOjrJXugen+8z8lHUlWik6cSnjCp9FCmhMLUzDkDLRZ/dc9Flmk6Yypz3n4JwXrvvfVYmOlXn8eE8xehBKpHkEqSxNg5E7j8H95M/cQmAAKxEEvfch5nv/cSwnXVK2F8fE4mciBA7RkL0BsaS/NPva6B2nkLkY9i/nkqEm6sYf4Hr6Jh7mSE5An69XMms+CDVxHwr0mfV5G9e/fyuc99ji1btnDbbbfxwx/+kM985jPMmDGDd73rXbz3ve/ljjvuoK2tjRdeeIF///d/55577gFg0qRJpNNpHnroIbq7u8lms0yYMAFN0/jhD3/Izp07ufPOO/nmN7953M73q1/9Kr/61a/42te+xoYNG9i0aRO/+93v+Od//ucjPsZHP/pRNm/ezD/+4z+ydetWfv/733PLLbcAgxXJlT7bicBvmRlFKIEgkcnTCI+fBLgIRUGSj/6fUA0HaVk4g9qprbi2i5ClYyoLlCSJ+Jh6ln/wcoxsASEEWjiIoh3br1Wyq59MIouRKxCOhwnGQ4Tjnuhh5gtkE1lyiSyKrjD5rJlMWjod13aRVZlg3F9d8xld9OxsRwlohGqjdO7upHN3JwsvWYzruOA4pPty1LY2DGsxySYznk+H5VVmOI6LJAlwBtpZiq0qLtQ0eNdFNuGJEJIsMW3ROMy8hSQBrhfni+siiZINyHCKyTQADi7BsIZtOxiGVTY28MaiuJ8kvDQay7AIRILIikwumUMbYSX9UIQkIxQF17QQqoTAxc5mcGtqEZJAjccodPcQGT8eIR156bYWi6PXN5Davg29rh4l6LfbnarImk5o7DgCDU2Ai5CkihWTrwZqKEDN5LHMfedluI6DkCTkUAAtfPgHw2A8zISFU6kb34htWghJIlwfHVYGDd51nk1kyfSnUQMaoViImubaCkf18TnxKIEg0SnTiEyYBIBQqsdLjzYCNREmXXwWEy9chje3ltEiwYrX5WjDtmzSvSnS/V7LU6QmQqQuivwqthr6HBnvfe97yeVynHnmmciyzKc+9Sn+7u/+DoCbb76Zf/3Xf+Xzn/88+/fvp76+nhUrVnDllVcCXhrL9ddfz9ve9jZ6enr4l3/5F772ta9xyy238E//9E/84Ac/YPHixXzve9/j6quvPi7ne9lll/HXv/6Vb3zjG3z3u99FVVVmzZrFhz/84SM+xuTJk/njH//I5z//eb7//e+zYsUKvvKVr/Cxj30MvdjOXO2zHW+EexrWCyeTSeLxOIlEgljsxFQy+Bwd3Xs6+cN3fkfX7uJKrxDMO38eF73/UlRd5aU/P836+1Z5D4tArLmWK77wJurHN57Es/Y53pxO1+Zj378DI1dgwbXn8shvHqJ3Xzdnv/l8CqkMuY3bSBZs4hPHMFRtKKSydLcdJKQrOIpCoj9Fa2OUrGGTLHjXhlw0drRth2lLWhk3o4HVD+0AAa0zGhk3s5H9W7oYM6UW13bJJPNkUwUkITAreAsB4IIiSxi2jSJLNI2NkckY5DKm168pvHJDB8BxkVQFwzCQhIQkBKqmUDumjlwiSz6do2naGIQ48mouxyhg53Io8ThuIYdrO+hNzch6AMcwSO1sIzplMoGGo/s+cG2bxJZNKKEQdQsXH7Zt6HTmdLo2RyLbl2LV/z7EgfVtpW31U1pY8aErCTccn4qVRFc/T/7ucV66b5Xn8wPUja3jzV9+Oy1TxhyX9/B57eBfm8dOPp1l77pdPHbT30qm31pQ57wPXsqEhVNKRuajESNXYMeq7dz5/T9RKH42PaRz1WfeyLQl09GCvn/WqcIFF1zAwoULufHGG0/2qZx0vvWtb/GTn/yEvXv3vqrv6/cX+Jx0+g/28n9f+/WgGALgurz82Hqe/fNTtG/Zx7p7XyyJIQDJjj7+8o3/JdWdOAln7OPzynAdl562g8TH1JHoTrJnw24mnDEJBOx5wYuEjTbWMlQMyfam6NrRPvjQLnnVIY7rliJxoRi563q9LdG6EJlkAQREaoO0zmike18CUYzoFQIsw2EwFKaCIOCW/gcJQSDktS0UsiaSGGyVKQ/78P4gin02dtGrRAvrOI5bNTq7GpKmAsKrElFUkCTMVKo4pqGEQuQ7u47qmOB5MIXHT8Do7yfXfuCoX+9zemHmC6z5w+NlYghAz86DPPWzu8mPELt7pNimxdoHV7Pq3hdKYghA74FefvPPt+LR9ngAAQAASURBVNLbXjn218fH5+hJdiR44Id/KUtAM3IFHvqfu0h29J+8EzsO9Lb38ofv/K4khgAUsgX++J3f03PA/x7xOTX4n//5H1544QV27tzJr3/9a/7jP/6D973vfa/6efiCiM9Jp7+jn/4qN55Vf1tV1fQwn8rRvfv4GQT5+LxaJA/2YuYKxMbWs/HJl9GCOmOnt3Jw895SCoUY4ueT6UnQu6cTPRLEKVZxmIaNQOA4g4KIGEh2wRMoahrDZPpzKKrM9CXjyKcLdO3rJxTViq0yYBXjQF1crxXHdUs/btGEleJRJSEIhnVMw8J2HHAZrPQQlW8oUrGNJZfOISsyiiYXzVWPBglJVbHzeYSue+eZz3rms4Aaj2Om01j5oz0uqNEYWl09ye3bsAtHFwvsc3qRT2bZ99K2imN9uzvIJ1+5IJLoSvDcX56pOJZNZOjY2f6K38PHx8cTPtbc/Vxln28XVt/1LIWj9Lw6VTALJk/f/mTlSGTX5Znbn8CslJblc9pyxRVXlEXoDv35t3/7txP2vtu2beOaa65hzpw5fPOb3+Tzn//8CWmJORy+h4jPSafnQE/VMatgYlcr4wd693Yxecn0E3FaPj4njO4dB0AItGiYHS9uY/KCKRiZAnvX7KChtQ5woCg0ZHtT9O3tJhgLoUYCGJkcLmAaJrIi4bguStFMWAyZ+wQjOqqukO7PM23pOGRVZvfGDnAhHAngOA6mYxdLO1xwBUIMqRJxyyN3XRdUXUbVJDIJw/MJcR1kScJ1h/iPCFGaYLquixpUMXMGqd4UwZBOKBoAy8Lo7y+dq5AkhCIjqSqS6lWDHIrQVMgYYDsITQejgNHXi97QiBqNku/ooNDVhTJ+wlH/e4TGtpJIJkhu20rtvDOO+vU+pwdmzhgxlSifzELrK3sP27TIpaoLe127O5l9ztxX9iY+Pj6Y2QL9I1RK9B/oxcgW0I8iKv5UwSwYdO2pvmDYtacLs2CgVkiK9Hn1efTRR0/2KXDTTTeRy1W+99TV1Z2w973hhhu44YYbTtjxjxRfEPE56TS0NlQdU3V1xOSY+glNJ+KUfHxOKN3b9xNtqmH7qm0gYNzsCWx7fD2KrlE7pha6e0AS5JMZevd0EogGiTTGSXQnkYpO+KZhoajyoKkqnkiiFYWUmibPULV+XJx4fZjdGw9iGTaariBrEhguRsEaCA3AcUEWA1EyeJqECwLPGNUFgiENx3axDAcQOK6DcEESEk4xkhfhtfIMiBpCFmi6TDCk4hp5FAksUXy/gSoY18UxTOx8wTOp1HXkoM7QmhNJUbAlGTufR4mEsU0Du5DDLuSR9QBqLEa+q5vQuHFH5U8ycOzQ2HFk9uwi39NDoL5yzKvP6Y0a1BFCVBVFArFX7jcgqwqhWIhslWqT5sktr/g9fHx8QA3p1I1roLuY+HYotePq0UKj02dD1TWaJjXTsfNgxfGmyc2o+skxpvY5NWltfYVq/ijHb5nxOenEm2uoHVNZfVz6+jORq+RZB+PhUnyhj89oonPbfiLNtWx+eiOtM8bRs+sg6e4kY+eML7W9WLkCPW0daCGdaFMNIChk8iiKXEyXcTwhoiiIpBMZcNyS5UdNUwTLcmiaUEv7jm4vacZ1CcV0cEFWpKIg4gkXAw950kCFRzEtZmixhhZSKOTMIW00XpUIxcqSQR+R4rEkQUiTica9FbZMxkBoOoYNuYzhCR+6jhwIoITDKOEQQpax8jmM/iSOObSFRSBpCk6hAK5ACoYQQmB0d+FYFlpNHMeyMBLH5iuk1daiRCIkt24pteL4+AwlEAsxYdnMimP1U1qOiyASb6ph+bXnVByL1EZomtT8it/Dx8fHM09dcOWZlc20BSx6w/JRWR0C3mLi2dedW/TxOgQhOPu6c/3qEB+fIfiCiM9Jp6a5lnd87d2MmTa2tE1IEgsvWcxZVy9nzMxWFl29vKxSpHZcA9d89Z1E631HdZ/RRbYvRbYnSTZXwMgbjJnawr61bdSObyBYEwHHwRWC7rYOZE0h1lIHCBzbxsgaSJLnGyIYEDKKCS+OjVqM0nNwaZlSjxpQ6djdS39nuugr4hKOBzANCwCzUP7g7xbjdwcZ/IMeVJAkQaFgeUm7Q4QUx3FLrTYSgOMSDCg0NISRZEE2a5HNmOTzFqZpoekatmFhm1bZ+wtJRg4EUENhrwomlcHKZigJLKperCbJI8kyQtVwgfzBA9iFArKuk+vowM7nsHM5bGPkFoey9xaC8Ljx2IU86b17jug1PqcXakBj/pvOY/ySGWVCYdPM8az48OsJHIdEClmROePC+Zx1zQqkIdGYjROaePe/vq/q4oGPj8/RE2uOc9lnryUQHYxdD0SDXPqZNxJrPj6pUSeL2jF1vO2f30lwiFAbjIV42z+/0/8e8fE5BD92148oO2VIdifIJbMYeYNgNEQ4Hi59kZsFw4vsTGWRNZVgNESoJnySz9jneHM6XJu7n9/Ms7+4l17DJtIQQ7Ndcsksk5fPRJJlnJ4+rL4EXb15asc3IMneQ1E2laVnXzf18SB508awbEAQ1CQa60LsbE8zUNw78+wJjJ/VTKIrzf5tXeB6YogkS0xfOBazYKEoEj0HUyiyhGk5nhgiCS9+t3hsGPy/usYwkiSR6s95LTQu2I73OiEEsiQVW2Vc9KBKJKpjGBaWI3BsB8e0MW0HWZGobYyT6kmiBQOEayNV/64c08DOF5BUFTUaBiSsbBoQaDVxXNfFzmY8EcmqUtUhSaixOIHGJmT98Kt92f37yPd003TWCuTA6FwdPBGcDtfmkWLmCuSTWYxsATWooUeC6JHg4V94FOTSOTL9aXLJLIqmEoqFiDfVHNf38Hlt8P/Zu+/wOKpz8ePfmdneV12y5d5t3HDHgMH0DiGEdEJCQijJDT+SXC43N+WSkEJyuWkkJMFcQoBAwHQwzQWMbbCxsXHvRVbX9r4z8/tjZdnr3ZVlW13n8zx6QHOmnJV1NLvvnPO+YmyennQ6TaQpRCwUBT0TNLAXOzEY+35WAU3VCLWEiAYiANjcdpxFznaXogvCQNT3R7vQb7hK3LhK8kfkjWYTxjITLvGGUOjjGrYfxGizEG5soHpcNYc37qN6+si2wEfMF0JRNVyV3rZtAPFwDKMp8yc7mU4jKzLppIqmZSIWBkXCbDIwccEIvOVOdE2j8YAfXc/ENCRJwuowIysSsiyRTKZzkuvrGqBwTJ4EqXV5jYTJYmgr4ZupLnPkKCmTVLW12o3JZsRmMxGPp4hEUljt5rbZJIoio6Y11LSG0WImGYlj89gK5vyQjSYkSUaNx0kFwxidDmSjCTUaRUuryAYFxWJFjUZQ7HYkg5F4QxNmrwej242uamiJOOlwiJDfh6W8EnNJaf4p0q2sFZUkfD6Cu3aKBKtCXkarGaO1a3MLWB1WrJ0cZBEEIZfBYMBd4cVd4e3prnQ6WZFxl7pxl/bt2S6C0NVEiFAQBKEb1W87QDgSp7S6lIZth3BXeHEUOQEI1LZkEosalZyEZ7FQDLMls+ZXVTUS8UzJvCNrhAeNLGbOdZNweK00HQqQSqRJxFJZOVIdbnMmGGFSSMZby+0es0zmSJHdowGDzMFWuwlN00kn0shI2YEU6ch+OiZrazAkmiIaSQE6yUSqbX9D6xKAcCCMyWJE13WS0WS7Py/JYECxWdFVlVQogmQwgCyhxTPlECVFQTaZ0RJxJFnGYLWQCoVRzGYMNhsmbxHWqmqMLg/x+lqihw+1u4xGUhRsVVXEGxtI+Hzt9k0QBEEQBEHo20RARBAEoZtEmgJEmoIEg1EsBgM6OuVjMpm9E+EYDdtrMpWVDNnJzpKxBJqqYTQajubsaE027CxxMHT2UCbNH06wOcqWFXux2AzEggl0dI6dDOH0WEnGM3k7kol029KXozIbMqeWOLJexuYwk4ynj5bW1UE+UkWmdZPZYsRmN5KMp0km1bYgi5pWScTi6OhoqoYsS6SSKsgSBouReDslRtt6JSsoViu6miYdjiAbTKiJOG2FbUwmUBTSkRCK3Z5ZahONHnO8jKmoGFNJKSlfC7G6w+1ez+QtwmCzE9y5HV0rXPZbEARBEARB6NtEQEQQBKGb1G7ejw7YPA6CdT7KRw9CMRnQVJXaT/ZjtBgwmhSyohjoxMLRzFIXCVQts16lcmQJsy4bz/SLx2IwG9jzUQ37NhxuTZxqJRyMZy0NMVoMGC0G0HXUtIamHvNB/5j9tNZSu0c2ma1GZEUiEUsfnW2SnV4Ek8mA3WkmmUiTiLeW8m1tNJlNGE3G1mU1GlprgCEciGCymlFTaVLx9meJQGbmhmKxoKVSaJoKmo6WTLb2R0KxWFtziSSRjUYSPn/OOYwOF6aiEpLNTSSamwpfS5KwDR5MOhIhWtt+8EQQBEEQBEE4sRUrVnDllVdSVVWFJEk8//zzPd0lQOQQEQRB6Dbbl39MMpVGkg04ihy4K73oqkrT1oNYZB1nsRNJVdFSSYjGORKBcBvAXeJAsRgoGldC8bAizHYT0UCMfZtqIZIgGk2j6zquIhuSDBF/LJM/pDUw4Sqyoak6BpPSNksEHXTpaMUa0FtnjEhteUTsThPppEY6rR2NmxwTr5EVGZfHgppWiUfT6GQqzsiSjIoGuoasZOaT6KqOrshoqkYylgQkZINCPBTFaMleIpSPZDCgWMytiVYNaPEYSutxkiwjW6yZbVYLqWAIXU0hKdmzbYwuN1oqRaz2MIrVhsGWvzKIwWbHVFRMaM9urGXlyEZRolAQBEEQBOFURSIRpkyZwle+8hU+9alP9XR32oiAiCAIQjdIxhMEDzWCYsCgaZSWu4jvqUFLJHEqoDvNSKqa+assS6AYAQlV17DYDVSOLsVT6UTXdEKNEeq2N5CMJJEkCYNBwmpWkAFvuYNENNVaUrc1MSqZgEgilsRqMxEJJI52TD9uQgpSW14R2SRjshgIB+Jt59LRW/OqZpbtuNxWNJW2nCFAWyBGPqYHkiSjo2I0GNAUjVRSJR6LIwOmtIFkPIHJcuJElbLRhK5q6Ol0ZsZJa3LVTJsRXU2jp1JIikTS58dcUppzDlNRMVoyTvTgfpyjxiAdk7z2WLbKKgIBP6E9u3GPHXfCvgmCIAiCIPQFuq6TjoTQUilkoxGD3dlu0vnOcOmll3LppZd26TVOhQiICIIgdIP3Hnkdu9WI0SCjKDJ6OApGA6FwEsVqwl7sBnSkeATdYMRgMVEy2Im30o7JYiTki1K7vZHm2iAA6VSmzKxiUHAoCroOiiLhLnUQC8SxWQ0kWyu6mG0mTFYDYV8KXYdUa0LWIyRZgmOq1mo6KLKEzWFGU3WSiaONOpn8IRqZ2SOyAuFgAk3XW7OOSGi6jiJJmdep6aDQtkBT1zUUg0IqqSIjY7Qa0JMa/gY/ZqcVl8dRsOrMEYrF0pojREeNRZGdzrY22WxBVTUUi5mEz4e5uBiOO58kSZhLyokdPki0tgb74CF5ryMbjVgrKonWHMJaWYVJlLQUBEEQBKGPSwZ8RA4fQE8dfT8oGY3Yq4Zgcve/iksnIgIiA5iaVtFSaRSTIau8pyAInUPXNBq27GPv0vWkDzZgMiokVR1zZRG6otCwvQZJkXCWuAEJSdMw2U2UjyrDW+FA13WaagI0HGghEU5hNRvQ9MySFF3XkWQZHcik5dCRTAYMJoWQL4Yiy9gtCpqu4yi1H1Nd5pjkqMeQWmd/QGaGhyxLWO0mopFkduLV1ikfFqsRk9lANJxA047MGjm6mkbPmXnSWs43k6QEg1EhncoERWSrASmWJOQLEw5EKCr1YLW3X3JUsVpIR2No8QS63dFWbUeSJBSrFTUSQTYpJAIBzJ7cm7tsNLbmE2kk5fZgdOYPdphLSkm0NBPYvo2SGTO7/OmJ0DdoqoqaTKMYDW0zlARB6LvSiUxOKoP5xMs3BaEvSwZ8hPfvztmup1KE9+/GMXTkgAuK9GhA5P777+e5555j27ZtWK1W5s2bxy9+8QvGjh3b7nHLly/nrrvuYvPmzVRVVfG9732PW2+9tZt63fepyRSxlhAH3t9EuK4FZ1UJ1XMnYS1yohhFjEwQTpematSu38Hedz4i2hRANxqIxZLEkyolowcjm4007q5F1zU8FaVISJitBiqHenCX20mnNJprQrTUBwk2htB0HVPr2JQlCY3WoAWgqxqaLiNLEp5yB6mk2rrEJRPUMBoVnEVWktEUFruJYEtrVZfWIIdGZgJHJqJx9MO+yW5Eh0zp3mPogGKSsdiMJBNpUqnjwyuZ4Igsy8gGCVmRkY0Kkiy1VeiVDQo4MkFZdDBZjKQtBmw6pDSVWCRKKpnE4bIfE6w9Proio5jNaMkESX8Ac5HnmCY5U6o3EiUV8GFyu/POOjE4nKjRMNGagzhHj0VWcv/+SZKEffAQgju3E605hH1wdZ5/cWGgUNMq8ZYQB9dsJniwAXuZhyFnTcZa5MJgFnlmBKGviQci+PfXcWj1ZgAGzZ6Ad3glFpe9h3smCJ1P13Uihw+0u0/k8AGMLs+AegDUo59+ly9fzu23387MmTNJp9Pce++9XHTRRWzZsgW7Pf8for1793LZZZdxyy238Pjjj7Ny5Upuu+02SktLe1Vylt5KUzVadh9m/aOvtdXb9O+r49DqLUy/+TKKRg1ue9IqCMLJ0TWduo272LXkA2LNQTzDKnCPGcL7/3qPEpcVq9eFwWIicKiJRDiGp6oYs9VIxTAXxVV20kmNln0t+HxJ0CXCvsyyEJPVhNQaPGibitFKVVXQFBSjhKfcSbjlaBlbTdMx2ozIikw6pWWOS2sYFZlU+mgg40jOEPVIFRkZrHYTyeOW1tC2lMaEmtZJpzRMViOK0YDBqKAYFRSDnEmietyNVNdbE7Ye+S+gmwyt15MwGDOBD6ssHXes3nZ89vkkJIMCaRnSadLRGAbb0VklkmLI5BtJJ0k0NmApq8j595IkCVNxGbHDB4kdPoy9Ov/SGYPdjrmkhNDuXZiLSzBY25+9IvRfwQP1rP3LS+itVZr8++qo+XAbkz9/EaUThqGI2SKC0GfEgxE2Pr4E//76tm0tu2pwDS5j6pcvxuJ29GDvBKHzpSOhrGUy+eipFOlICKNj4CwT7tGAyOuvv571/aJFiygrK2PdunWcc845eY/505/+xJAhQ3jwwQcBGD9+PGvXruWBBx4QAZEOSIQibHrqbTj+w4Wmsempt5nzreuxeMQNQBBOVvOuQ+x4eRWhw024h5QzfME0LF4nL//uBZw2EzrgGlREpClIqCmAq9TNoNHFVAzL3HCaD0cI1QWQ0mkwmEkmkmjpNJIsZ2ZVILXFQY58GFNVlUwSVLC6rRgtCsGWaFa/vGV2EtEUJmtmRkda1VEUCUVRSKc10qp+/J8D7E4zkpQptZvJF6JlggdWIw6PFcWoIMkyNiUz60LXdFRVRUtrJOMpdFVH1TRQNTRNb53OIoEso6dVJElCMsiZfCaJTMUbm8tKOpZCR8fssKADyVgCNa1itBix2S3I8tFZHrKc6bRkNaNrKloygabISCZj22wQxWohGUhAMk4q6Mfo8uT8u8kGAyZvcevSGTdGlzvvv6+tchCpQJDAtq0UTZ02oJ6cCBnxQOb+qavHzYrSYfMzS5l312ewep35DxYEoddp2VWTFQw5Iniogeadhxg0QyTTFvoX7QTBkJPdr7/oVesjAoEAAEVFRQX3WbVqFRdddFHWtosvvpi//e1vpFIpjHlKIyYSCRKJo1UVgsFgJ/W470mGYqRjifxt4RjJSEwERIRu0x/GZqTBx/aXV9G0bT/2ci9jrzoLZ2UxABveWk/SH8bhtGApcpAIx/EdaqR8ZAljZlZjsRkINsdpro2gqTqKBrokoaoqYX8YWZIwWc3EowlMJgNa62dwXTv6gcygyGi6jrM0U10mEUm2tVkdJsx2E/6GMJ4SO8GWKKqmoWpgkGUMBhlFIVOtRZMALZM7xGkiEUuhGBXMbhMGsxGjxdBWildNqqSTKdSUSjqVRlP11rwkmSDFkeDNsSEDSdVJq2kkJGRdJ51SW5fWSGiaTiKWwGA0oseTmdwMZiNmm4V0Ok0kGCUSjOH02LG2zgLJnjEioRgV0NLo8TS6JIGsICkKBquNdDhEKugHScLozA14ZJbORDJLZ2w2ZEPufURSFOxDhhDavWtALJ3pD2Ozs6WiceL+cN42NZEi7g+LgIjQ5cTY7BypWIJDqzYXbD+4ajOlE4Zhslm6sVeC0LXkPJ+TT2e/kxUOh9m1a1fb93v37mXDhg0UFRUxZEj+Wbrdof1U/t1I13Xuuusu5s+fz6RJkwruV1dXR3l5eda28vJy0uk0TU1NeY+5//77cbvdbV/V1f37jWx7jp92nmeH7umIINC3x2YyEmfbC+/x/m/+SbCmkREXnMm4q+e3BUMa9jewY8UmbCYjEhIGq4Xg4SYmnz+KKQtGAHBwh5/GQ2G0I2tV9ExYIdgSylTeNShoqpoJgEitK17SGlrr7rIsI5PZz+q1EmqKZPWxqNJJKpHGYFRQVZ1ELN16HZ20qpJKZZbhGBQlU/3GoFBU4cJoNeModeKt8mBxWtDRSUQSpKJxIi0RIv4IiXCCdCKNrumtlWegtcBuzsoerfX/DK0lfQF0VSWdVkmpaUBHTalEwhFSmko6liTQEiTkD5GIJTBZTBiMCiFfGF+zH611ZszR68moiRSpaAI1kc6s+dFU9GQC1CSKOTNDJxXwkfC35PwdzCydKUXXIXroYMG/k0anC3NJKcFdO0mFQifx29L39OWx2WVOcH/UNXH/FLqeGJudRG//PbGuaVnLUwWhPzDYnUgnCHZIrSV4u8LatWuZNm0a06ZNA+Cuu+5i2rRp/Nd//VeXXK+jek1A5I477mDjxo08+eSTJ9w339r0fNuPuOeeewgEAm1fBw8ePP0O91Fmpw2lQOI3g9WM0SHWxgvdpy+OTS2tsm/Fx7z3i39Q8+FWqmaOY9IN51E0clDb36B4OMa7f38bs8GAzW7GYDVhtWicdf0ZlFR7aDgQomann+SRAEUbnUQi1bYURjEZSCbSGA2ZP9WZ2RiZEriyDEgSkizhHexG1zTC/qP5Q6xOE1anmZAvht1lIRZJZD7QHfMGUNdBk8HkMuMe5KFqTBkWtxUdiIcSBBpCBOqDpKJJZHSS8XQmESpkKtLIcGQeyJGgyHEpTjJ9Rcrka5VAaf0ZGRQFk8mA2ZTJcQISBoMB2aigA2ZZQdN0UskU0XCUeCKBqmsk40ma6lpoamgmGAgRi8YyfZIVJElCTaVJxxJIBjMYzaAYkJRMXhPZoKDFwiSaalETsaw3w7LBgLmklHQ4RKI5f3AdwFY1CMVixffJxn49pbQvjs2uZrRZMBW4R8oGBatXzK4Uup4Ym53DaDNTNaNwEYdBM8ZhtJm7sUeC0PUkScJe1f5MDHvVkC5bFrxgwYLWnHLZX48++miXXK+jesWSmTvvvJMXX3yRFStWMHjw4Hb3raiooK6uLmtbQ0MDBoOB4uLivMeYzWbMZvFHDcDktDH+mrP55J/v5LRN+NS5mJ0iq7bQffrS2NQ1nbqPd7FryRpivjCl44ZQNXMcRmt2/9VUmrf+ugRF1XCWOnHYDYyYWY2rxI6/KUZL6/KYnPPrOpKmEU+kMSoKsiKjqRqqqmIxmTPBC+3YhSiZQrlGs5GiKheRlgiSLqHrmXwfpYM9JGJpjK3JSuORVFsdXKNJweK0YHFaMJoN6JpOKp4iHU+ipVUSkRSarqNqOgajjMmsoKZV0kn1mLq6x/YkEwTJKrtL9pKZtm1Sa0zmmB+BLGfK8eoayEYFWQE9pWIxmZBb+6/TWupUVUmnVLSURiwdI9y6fEiWZUqKnKRVDQMpYoEAJocDxWAAxYAWj6MmkhgsFvR0mpSvCSQJxWJFNtuQzWYMNjuqy0287jAGqxWDPfcDriTLOIYNJ7hjG75PNlE0ZWomz0s/05fGZncxu+xM/PR5rH/01Zyo39grz8LktPVMx4QBRYzNzlM6bigHyjxEGvxZ220lbsomDhe5ooR+yeT24hg6ksjhA1kJViWjEXvVkAFXchd6OCCi6zp33nknixcvZtmyZQwfPvyEx8ydO5eXXnopa9sbb7zBjBkz8uYPEbIpBoXSicOZdft17Hl7HZFGH46KIkacfyb2Mk/rk1pBEI7QdZ3GrfvZteQDwrXNuIdWMOKCGXlzBWiqxtuPLCEdiOCt8jB6SgVlw7xEg3H2b28hFVMLXicSCOG1GpBlhbSeyd8RjyaQZQm59dzH9ApV1TAaFMqGF6GpGqHmKLIMEjJFVU5MFgONNQFKKl3EwgmMZgMWpwWrw4xiVNBUjWQsRSwYIxlPYbObMJgNxCLJTBJXWcJoUjCYFNS0lqlScyTy0ZbLhMy0EPXYnmXPEjk+MHIkKIIOqqqBJGVeo0FGTWmkE+lMvhKDgp5S0SWQjAoSmb9fikHBZM7M1InHk5nlSGYjiqIQT6SxWYz4AxFcDisth+tpDkaw2qxYbRbcFhPpeByj04maiCNJOmo8jhqLZvphsqBYrOjJOJED+3CMGI2S54OHYjbjGD6C0O5d+LduwTNhonjjPABIsoR3ZBVzvnU9e95eR6i2GWuxm5ELz8RRUSTK1gtCH2PxODjza1dSv2k3NR9sQ0enasY4KqeMEvn0hH7N5PZidHlIR0JoqRRy6zKZgfpeRtJPmFSi69x222088cQTvPDCC4wde3Tamtvtxtpa1vCee+6hpqaGxx57DMgkX5k0aRLf+MY3uOWWW1i1ahW33norTz75ZIerzASDQdxuN4FAAJdr4JQUOl4qkURLpFFMBgwWU093RxB61djUNY36T/ay9511hA4346wqpmrGuLYcIcdLp9K8/ZfXUcMRxs4eSvWYEtS0Ru3uFuIJkAvcZDR0gs1BtGSS8iI7Tb4YKFJmGYiWWRpjs5iIJ9KouoYsyWSmZ0gUlzkZOrmCxv0+4qEEBlkmrUgMGlVMqDmGxWnGbDO1LRlR0yrJWIpkNNlW3QXAbDVgsZtIxtJt241mA0azgqbqqGkNXdNaZ2noWYERqXV2x/HpE46LnRzdeOw2HdKajiRLyEomueqR85ssxkxOhpSKZFIyJXZz/pEglUySTGRmv1htZqwWExI6SVXDCCRSKvUtQWKxBIosMby6nFg8SSCWpKLMjdmoIBvMyGYjeiqFrmZe/5EywfZBQzEUKAOf9PsI79uLpbwCz7jx/XKmyBG9aWz2BulECjWREvdPoceJsXn6dE0nGY2BDia7FUkemB8KBWGg6tGASKEo1KJFi7jpppsAuOmmm9i3bx/Lli1ra1++fDnf+c532Lx5M1VVVXz/+9/n1ltv7fB1xc1DEHqn3jA2U9E4NWu3c/D9TcRaQrgGlVAxbQyuQSUFjwm1hFj91DsMG1PCkAnlgE7jPh9NNQHMbidSzuKR1mulVVrqW0jEk5R6bdgsRlr8MVRdzwRQdDAZFUwGhVg63bYuRZLBYjUxesZgkrEUdbubUQwKnlI7rkpXZimI8UhODZVENEkylswseTmOyWzA6jSRSqRJJTLtJktmJkY6paKmNSSktjeImYo0ZDqig6Rk+qnmSSiZ91VLx/2vDmpr8EGSJXQyS2ckGYzmo0ERjAqyQcl7Ul2HZDxBOplGMcq4XXaQJFRAac3HkjYYSKZV0skkLrOBYDTBzr2HKS1yM6Q6k1C1viWMZDBQXOTCalJATbeWCDZgsDsx2OwoVhuSfDQ4k/C1EDmwH5PHi3fipC7LzN7TesPYFAQhlxibgiAIp6dHAyI9Rdw8BKF36qmxqabSNO84SO36nTRs3gs6eEdUUT55BPZST8HjNE1j/9rNGPQEFUO9qGmN+v0ttBwMgAaWYieSJKOikU6mSSSSpBIpkokUiWQSWQWQUHWVYZVeNE0jEE4eXW8ig8NsQtU1UqqeCQ5IYLYYGDV9MIpRIdwSw+wwYXNbkRUZXddJxdMoCiSiSaLB/GW2Acw2ExabgXQiTSKmYjArmMyZD/uphJpZ0nKkL1JmlsuRwIiu6Whk+nSkdG6+IhvHxy80QD4+KAJobTlSMnSOBEUMoGVyiqBIyCZjgUhL5t8jGU+BruF221A1HQ0ZY2skSZMVVEVB1nUMWhpNkgklNeKxBHaLgsthJZFIsnt/HQcPNeF02pgxZRQmkwFkGaW147LZisFqQ7FaUSxW0tEo4X17kQwGPOMnYPYWLh3fV4n7piD0TmJsCoIgnB6x4FUQhAFH13ViLSFadh2iaftBmnceRE2ksBa5GDRzHMVjqnOSpbYdq2loiSj+Q4exmnWqh9mJBGT2ba6npcaP0rpsIo6G73ADyWSadCrVFlhQFAVFUZC1zDIRo9GIAR2TUcEfSrWtM5FlGWNrTh9NkrC5zNhcFjzlDlwlDiRZQpIkjDYTaiqzpCURS5GMJbDYzSSj6YLBEMUgY7GbMRglkvE0mqphsZuQFdBUSCVTOYlP0UHTdST0zIwRpEyAQKY1yqFBnqDIkTQjR8hkgh+S1LqspnUFjiyBrEioeibYIpHJUZKMZcoGyyYFPaWhxZIFZ4vIsozFZkbTNKKxJDaLCUnXCIQTWCwGzAaQNRVVMZCWDSiaissoYTc7UGWFuKZjNJmZMGYIE8YMIRCKceBwE267hdJiF/sON9PQHKCszEtFmRdLa8WulKqDzYaspvFt+hij14tz2EhMzq4pWycIgiAIgiB0DhEQEQShX0snUsRagkQa/YTrWggdbiJwoJ5kOAaShL3UQ/nkkXiHV+YkSk2nUsQjYVKxKGoshqwlcTjMyLKESVFpOhSipSZIOBhHR8NqMqKqKi2RKJIioSgKZpMJm9WCrutoKZV0WkMm8+FdkgBVxe21oZgUTA4LzjJjZuaG3YTVbsJsM2G0ZD5463pmmYqaVon5YkhImKwGZFkiHkmhKApWh5lELEUsnMx6LZIMBqOCyWzAYFLQNZ10UsVoUgAlEwhJqGiaRnsyiVT1TNnd1l0lJGRZ5kgKjSPn0DS9rcrvsflEZFpL/h7zfWtaFBQJUKSj7ZqOmlJRU5klNYoiQVpFS6mgyEiKhKQoRzqSOZ8sgyyTVHWMMnjdVmKxFP5gDLPJgNWS2U/VQFZkDFoKRUujygopWSapyxgkHZfTisdlzfRFh8FVJVRXFeMLxdi89SANLX7MJgOlRU5KitwUF7swWc3o8SiBrRtJpdKE42liKmgGE2a7HavLidPrxulxY7aIShGCIAiCIAg9aUAGRI6sEgoGgz3cE0EYGJzOjmWu7ujYTIZj1H2wnXQsQXN9M75GH7IGsq6j6GDQQSmwriKtaYS1FCUjijBYjegKhBNNJPf4MVuM2O0WbLajH1QtgEUBHDLxiExLTYBQc5R4NIkiSzjcFgaNKUWWM1MedGBU69ISSW6toKJIyK2JTWVFRjHIHaropKmZyi6aqmZSdug6qUQag0nB6rIc84MDsz3TZ11VMZgMOIoMKAaQyJOMlEyARDZkDtZ1DUUBxdTzt4SOLOI8ZhVPwbZjd9AlCavdjLX1Z3RkJ/m4XWX0zBSZVqquklQzSV+NRgOyIgESRR47RR47MPRowEfXSaVVgrEkkgwmowGjQcHrtFDU9rsfh3Acwo2EDkKodWs6rRKJJYjFEiSS6Uyuk7RKWtXaliJlQlBS2+s73BSipinYOuNIRpZlFIOCLEmMHj+S+efP6tCY6+yxKQhC5xBjUxB6p46OTaHvGJA5RA4dOkR1dXVPd0MQBoyOrm3u6Nj8wrzL+eJZl59yf5zlDkbOG3bKxx9LkmWRkV7oEVd94b9Jq/ln9Kzft4y0mszbdqzOHpuCIHQOMTYFoXcS+Xr6nwEZENE0jcOHD3d7hC8YDFJdXc3BgwfFQCpA/Iw6pq/9nDo61npqbHaXvvbv1tuJn+fp6+6x2Z/+zfrLaxGvo3fqjffN/vYzPpZ4bX1TT7y2/voedSDr+fnRPUCWZQYPHtxj13e5XP3uD1JnEz+jjulvP6eeHpvdpb/9u/U08fPsep09NvvTv1l/eS3idfRNPXHf7M8/Y/Ha+qb+/Nr6i/vvv5/nnnuObdu2YbVamTdvHr/4xS8YO3ZsT3eNEy9iFwRBEARBEARBEAShX9B1nVhDE+EDh4g1NNHVi0aWL1/O7bffzurVq3nzzTdJp9NcdNFFRCKRLr1uRwzIGSKCIAiCIAiCIAiCMNBEag7TvGETaizetk2xWiieegb2QVVdcs3XX3896/tFixZRVlbGunXrOOecc7rkmh0lZoh0I7PZzA9/+EPMZlFqsRDxM+oY8XPqm8S/W+cSP8++pz/9m/WX1yJeh9BR/flnLF5b39SfX1tXidQcpmHVh1nBEAA1Fqdh1YdEag53Sz8CgQAARUVF3XK99gzIpKqCIAiCIAiCIAiCMFDous7BV9/ICYYcS7Faqb7swi5NHKvrOldffTU+n4933323y67TUWLJjCAIgiAIgiAIgiD0Y/HG5naDIQBqLEa8sRlrWUmX9eOOO+5g48aNvPfee112jZMhAiKCIAiCIAiCIAiC0I+p8faDISe736m48847efHFF1mxYkWvqSwpAiKCIAiCIAiCIAiC0I8pFkun7ncydF3nzjvvZPHixSxbtozhw4d3+jVOlQiICIIgCIIgCIIgCEI/ZiktRrFaTphDxFJa3OnXvv3223niiSd44YUXcDqd1NXVAeB2u7FarZ1+vZMhkqoKgiAIgiAIgiAIQj93pMpMIWVzZ3ZJ6d1CSVoXLVrETTfd1OnXOxkiICIIgiAIgiAIgiAIA0Ck5jDNGzZlzRRRrFaKp07qkmBIbycCIoIgCIIgCIIgCIIwQOi6nqk6E4+jWCxYSou7tNRubyYCIoIgCIIgCIIgCIIgDDhyT3egJ+i6TjAYRMSCBKF3EWNTEHonMTYFoXcSY1MQBOH0DMiASCgUwu12EwqFerorgiAcQ4xNQeidxNgUhN5JjE1BEITTMyADIoIgCIIgCIIgCIIgDGwiICIIgiAIgiAIgiAIwoAjAiKCIAiCIAiCIAiCIAw4IiAiCIIgCIIgCIIgCMKA06MBkfvvv5+ZM2fidDopKyvjmmuuYfv27e0es2zZMiRJyvnatm1bN/Va6A1i0Rh1BxvYv/MgDYcbSSVTHT425A9Tu7+OQ7traGnwoWnaKfUhlUxRX9PIvp0HqD1YTywSO6XzCEJfFovGqd1fx96t+zi8t5ZQIHzCY4K+EIf2Hmb/zoM01bec8hgUBEEQBKGw+kMN7Nu2n33b9lN/qKGnuyMIvZKhJy++fPlybr/9dmbOnEk6nebee+/loosuYsuWLdjt9naP3b59Oy6Xq+370tLSru6u0Es017fw2IP/ZNXba9FUDZPFxGU3XsAVn7sIT7G74HG6rlO7r46/3vcY+7buB8BV5OLzd93AxNnjsdmtHe6DvznAy0++wYv/eJ1kPIksS8y7cDY3feezlJQXnfZrFIS+oLmumTf/uZSli98llUwhKzLTz5nKp2+/htKqkpz9dV3n4J7D/Pa//syuLXsB8BS7ueX7X2Ta3DOwOWzd/RIEQRAEod+JhGMc2HaA//vlEzQcagSgbHApX/reZxk6bih2R8ff8wpCf9ejM0Ref/11brrpJiZOnMiUKVNYtGgRBw4cYN26dSc8tqysjIqKirYvRVG6ocdCTwv6Qvz2v/7Cyjc+QFMzT5WT8STPP/oqL/1jCclEsuCxzXUt3P/N37QFQwCCLUEe+s+/cmD7wQ73IZlM8tITS/jX314kGc9cT9N03luymv+59yGCPlH6Tuj/opEYrz/5Nm/88522GVqaqrF26Uc88tO/01zfknNMY20T937tvrZgCGSCi7/63u/Zs21/zv6CIAiCIJy8lrpmfnPX79uCIQANhxr5n7v+QEttcw/2TBioHnroISZPnozL5cLlcjF37lxee+21nu4W0MtyiAQCAQCKik78hH3atGlUVlaycOFCli5d2tVdE3oJf3OAzWvzL4967am38DUFCh67de12IsFI3rZn/rCYcAem+gP4GgO89I/X87ZtXrcNX7O/Q+cRhL4s0Bxg+Qvv5W3bvn4n4UDuWNv44RZC/vzj7P8efIqgXwQTBUEQBOF0RMNR3nx6KWpazWlT0ypvPrOUaDjaAz0TehNd0wjur6Vpyx6C+2vRu3j58uDBg/n5z3/O2rVrWbt2Leeffz5XX301mzdv7tLrdkSPLpk5lq7r3HXXXcyfP59JkyYV3K+yspKHH36YM888k0Qiwd///ncWLlzIsmXLOOecc/Iek0gkSCQSbd8Hg8FO77/QPRrbiWonEymi4cJ5PLasK5xn5uCuGpKJjuUhiYZj7e5bf6iRoaOqO3SugU6Mzb4rFoqRTqYLtjcdbmLomOxxsPGDLQX337t9f9uMK6Hn9YaxqesakMkTJghCRm8Ym0LvFg5G2d/OzOf92w4QCUbFMtUBrGX7Pva/tYZk6GhgzOS0MfSC2RSNHdYl17zyyiuzvv/pT3/KQw89xOrVq5k4cWKXXLOjes0MkTvuuIONGzfy5JNPtrvf2LFjueWWW5g+fTpz587lj3/8I5dffjkPPPBAwWPuv/9+3G5321d1tfiw2le5i1wF2yRJwmI1F2wfNKyyYFtRmbfDy64sNlO7b9A9JYXzmAjZxNjsu8xWc7vjwJVnrFYPryq4f0llMYpBLH3sLXrD2Gx8/z0iB/Z1+3UFoTfrDWNT6N0sVjNF5d6C7UUVRZjbeb8s9G8t2/exc/HSrGAIQDIUZefipbRs39flfVBVlaeeeopIJMLcuXO7/Hon0isCInfeeScvvvgiS5cuZfDgwSd9/Jw5c9i5c2fB9nvuuYdAIND2dfBgx/NFCL1LUZmXskH5E+jOPGdquwGTGQvPRFHy/8pfcdMluIsLH3sst9fN7POm520rqyqluEwkVe0oMTb7LofHwaS5E/K2lQ4qwZ0nwfFZF80uGPT49Neuxlvi6cwuCqehp8emlk6haxqRAyK3jCAcq6fHptD7ubxOLv7swoLtF924EJfX2Y09EnoLXdPY/9aadvfZ/9YHXbZ8ZtOmTTgcDsxmM7feeiuLFy9mwoT87yW7U48GRHRd54477uC5557jnXfeYfjw4ad0nvXr11NZWfjpv9lsbkvgcuRL6JuKSj3c+9vvUFpZnLV9zBkjufl7n8fWTtbs4nIvd/7y1qyouCRJLLx+AZPnFV6mdTybw8rXvvtFxk0elbW9tLKYH/z+borLCkflhWxibPZd7iIXn/+3Gxg+fmjW9pLKYu78+TcoG5RbZaa0vJh7H/xO1kwuSZK4/MYLOXP+1K7usnASenpsaidRSl0QBpKeHptC31BaVcINd16X9RBCMSjccMe1ee/PwsAQOlifMzPkeMlQhNDB+i65/tixY9mwYQOrV6/mm9/8Jl/+8pfZsqXwcuruIum6rvfUxW+77TaeeOIJXnjhBcaOHdu23e12Y7VmPtjec8891NTU8NhjjwHw4IMPMmzYMCZOnEgymeTxxx/n5z//Oc8++yzXXXddh64bDAZxu90EAgFxI+lmakptS2xqd9tPeYq8vzlAOBAmlUhjsZmxu+wdinan02n8jQHqDzYQj8YZNKIKV5Gr3UBKIYGWIC2NfuoP1eMt9VJSUSRmh5wmMTa7XjwSIxlLohgV7G7HCffXdZ1gSwhN07A5rZgt2dNsm+tbCDQHaTjUgLfUi7fMg7vYRTQUQ5ZlXEXOrKU16XSalgY/dYfqiUXiVI8YhLvIhd0p1jL3Zt09NlPBIC0ffwRA+dkLuvx6gtBXifumUEigJUAsHKdufz06OpVDK7A6LLiLxNLugappyx52v7j8hPuNvOpcSiaM6PL+XHDBBYwcOZI///nPXX6t9vRoUtWHHnoIgAULFmRtX7RoETfddBMAtbW1HDhwoK0tmUxy9913U1NTg9VqZeLEibzyyitcdtll3dVt4RT56n2seWkVH7/zMZIsMe2Cacy8bDaeMs9JnSccCLNvy35eXvQazXUtDB49mGtvuQKjyYjVbmn/WH+Y9cs+ZuXra9BUjREThnHpFy/EYjUjF1hOU4i7yIW7yMXwsUNO6jhB6AnJWJKGA/W89X9vcnhXDe5SDws+ex7DzhiO3W3Pe4y/KcBHyzbw9tPLiEXjTJw9nsu/fDGlVSVtwczi8iKKy4sYMWEY6XSaxkNNPHb/k2xduw2b08YFnzmPaedMbltCYzAYKKsqoaxKPKESCtPUwgl7BUEQhBOLRxIsf/49tnyQKSowYdY4Flx7Nm7x7G7AMtk79gC4o/udLl3Xs5JE95QenSHSU0Q0vfv5G3z85f/9mWBTdjZ0b4WXm395C55ST4fOE48meOPJt3l5UW7d6m/+9GtMOfsMZDl/YCPQHOChe//Gnk/2Zm232Cz8x1/vpmJIecdejNBlxNjsOjs+3M7jP3yM4//kz7/+HM69cQGW44KJgZYgf/3Ro2z/KDs/k8li4j/+cjdVw3OXKR7aVcP9X/81qeOWO0ycM4Gv/McXcBWJNct9VXePzXhTI4GtmVJ8ZfPPFZVmBKEAcd8U8qk/2MD//Nvvaan3ZW0vKvfynQfvoLy6rId6JvQkXdPY8NAz7S6bMTntTP3m9UgFPk+dqv/4j//g0ksvpbq6mlAoxFNPPcXPf/5zXn/9dS688MJOvdbJ6hVJVYX+TVM1Pn5nQ04wBMBX52Pb6m05H9IKCflCvPrYkrxt//j1PwnkucYRNbtrc4IhAPFonJceeY1ErOcjlILQFYLNQV747fN5x9nKZ98lEgjnbG842JATDAFIxpM896cXiUXiWdujoSjP/H5xTjAEYPPqLTS1UzJbEI6nq+ox3wy45zaCIAinLJVKsfad9TnBEICWeh9r31lPKiXyNA1Ekiwz9ILZ7e4z9IJZnR4MAaivr+eLX/wiY8eOZeHChaxZs6ZXBENABESEbhANRdm0fGPB9o3vrCd+3IerQuoPNqCp+TMfB1tCbflJ8lnz5ocF2z5+dyPRUKxDfRCEviYWihFsCuRt03Wd+n25ybPWLl1f8HybVm0mFs4eL7FInK1rtxc8ZsO7hf8GCMLxjg2IZAVHBEEQhHYFm0JsWPFxwfb1yzcQbA51Y4+E3qRo7DBGX3sepuNyt5mcdkZfex5FY4d1yXX/9re/sW/fPhKJBA0NDbz11lu9IhgCPZxDRBgYZFnGYDIWbDeYjMhyx6ZDG9s5D9BuHhBLOzXXDSYjiBnZQj8lK+3/cucbnxZr4Xw8RqMBjlvCIEkSBqOBdCp/7gdzO+NPEI53bMk/XVOB9v/2C4IgCBmyImM0F/6baTQbTzpvntC/FI0dhnf0kEzVmUgMk92Ks7q8S2aG9AUD81UL3crmsjHnqrkF2+deMw+zrf1kqEeUVBVjtprytlUOr8DhKVw1Y95lcwq2nXPVPJztHCsIfZnNZadyZFXeNoPJQOng3ASnMxdOL3i+eZfPyRkvDo+dWReeWfCYaedM7mBvBeFIEOTI/+efFSgIgiDk8pZ5OPvKeQXbz77qLLwdzN0n9F+SLOMaWknJhBG4hlYO2GAIiICI0E1GThvJiCm55ZvGzhrH4LHVHT6Pu9jF1354E9JxM0rMVjNf/cGX2i29W1xZzPmfXpCzvWJIOQs+dQ4Go5gwJfRPdred6/7f9TmJUyVJ4vrv3oAjT7JTb5mXS794Uc720qoSLv7cBRhN2ePFZDZxxVcupbgiN339VV+7HE+JKPMnnISsGSIiICIIgnAyRk0ZyfgZY3O2jztzDKOnjOyBHglC7yWqzIiM3N0m1BKkbm8da1/7EEmWmHnZbMqGluFsJ4iRTyqZoqm2mZWvrKZ2Xx1jpo7izAVTKSovOuEUwLA/TGNNEzs27kJNphk0chBDx1XjKfGcxisTOosYm11H0zQCDX62vL+FPR/vpmRwCWdePBNPmQeTJf+sq3AgQmNtEzvW70JNpqgcXsXQsdUUlXsLXqel3se+bfup3VeP0WRg7LTRlFSVYHfZCh4j9H7dPTZDe3YRrTkEQNGU6RjF3wNByEvcN4VCGmua8DX6cLjsAISDEbylHkoHlfZwzwShdxGPxIVu4yxy4SxyMWLKSCRJOqn1i/5GP/u3HuCT9zfjKfNw5sLpXPHlSzCYDKSSKZprmnlx8Usk4kmmnzeN8mFluIpy3xgoioLZYiIVjBMPxTCNMxAJRHjuby9jNJs466JZJCNxNi39mLKh5YyfNwFPmRdTO2sxT1dDbSMNh5tY/ur7aKrG2ZfOpbK6nPIqccMSOi4cilBX28Crz79JQ30zCy8+mwmTx1Jekfk9kmUZb0URZ103n9lXzkExKDmlTFvqW2ipbWHDOxsAmLZwGq4iJ1IsRdwfxnOmk1g0xrN/eZe6Aw2MmTKKSTPHUTm0ou0csixjMhrx17XgKnJhMptQxFpl4STpmgayDJomZogIgiCcAkkCSZdY8dx7AJy5cLooYS4IeYgZIiKa3uu11LXw+7seoqWuJWv7Z793I+NnjeWdJ5fybusf+yNGTB7BF/7z87iLj/77xkJRVj6/krf+/lbWvpUjKjn38+fzy//3O3Rd57LPXUiR3cHqxSsxmAx88b9vYsiEIRgMnR8/bKht5P8efIqVb3yQtX36WWfwjXtuonzQwKoTL8bmqQmHo7z83BJ+9oMHs7YPG1HNnx//NZWDyk94jpb6Fl566CW2vr8la/v4OeMZP3s8H7+zgQkXTOGhHy9CPabqh9Pj4N4//j+Gjq7G1+Djoe8+TMPBhqxzfOrOa5lx0ZlY7dZTf5FCj+rusRnYsY1EczN6OoVn0mTM3tylWIIgiPumkF/T4SZeeOhFNq3cnLV90ryJXHPbVZRU5eYOE4SBSjy2E3q1RCzBy395JScYAvDUA/8k7I/kBEMA9mzcw6YVmzg23uer9+cEQwBq99Sy/5N9TJ4zAYBXn3iTqnGDMZqNpJNpnr7/KfwN/s57UcfYvXVfTjAE4KOVm9i0bluXXFPofxrrm3KCIQD79hzkr394nEQ8ccJzHNh6ICcYArB19VY0TWP+Z87hL/f/PSsYAhDyh/nLfY/ha/Dx1hNv5wRDAJ793WKCzcGOvyBB0DQkRQFE2V1BEISTdWDbwZxgCMAn72/mwLYDPdAjQei9REBE6NUigQgbVmzM26ZrOtvXbqdiWP6n3+8ufo+QL9z2/bo31xa8zsZ3NjB34cyj+773McMnZ5LARvxhov7IqXS/XcFAiCXPvFOwfckz79DckBsIEoTjLX/r/YJtL/zrdVpa/O0eH2wJ8cHLawq2f7zsYxSTkUQsf2Bl95a9JGJJPnj9w4LnyPfGTBAK0XX9aMb7gTeRVRAE4ZS11Lew8sXC7wvee3EVLeL9pSC0EQERoVfTNA1NLbx+PBaOFay1nogmstaeR0OxgudJxBKYLEfPE4vEs86bSqZPptsdkk6liUXjBdtj0RjptHgyKpxYMBgq2JZMJNG09j9Qqmq6YLADMmPp+Jkhx9N1rd1xEmtn/AnC8fRjZ4iIHCKCIAgdpqnaie/pafF3VRCOEAERoVezWC1Ujags2D7mzDHU78+dog8wYd4ErM6jOQsmnzu54HlGTRvFjk17ju47azyHdmQqHCgGBVdx56/LdXmczDhnasH2M8+agldUvxE6YP6C2QXbps04A4ej/QovTo+LsbNyy/MdMWr6KMwFKtFAphy2wWhkxBnDC+4zce74dvsgCMfSNa1thogIiAiCIHScy+tiwpzC99yJc8bj9op8M4JwhAiICL2aw+vg+m9fhyTnZsUeN3Ms3nJv3mCF2WbmvBvOxWQ++iGuamQVlXmCKwaTgVlXzGH5y5nphdUjB2GzWgm05g2Zd9187B5HJ72iY65rMHDWhbMpLsstYeryOrnouvMwmbquuo3QfwwZNpgzZ+cG/AwGhe/98E7cnvbf+BiMCtMWTsfhzf09d3gcjJw6ii0rPmHBFWflPf7z3/o0njI3195+dd7qUSPOGE6JKPMnnAxNy/zdlyQQARFBEIQOM1lNzLjgTJxeZ06bw+tgxoVnYrIWfsghCN3h/vvvR5Ik/u3f/q2nuyKqzIiM3L1fMpGkbm89L/7lZfZs3IPD42DB9edw5gVn4i524Wvw8e6z7/HhkrWoaZVxs8dxyU0XU1JVnPPhLNAYYPXLq1jz8hoSsQRjZo3lrGvP4h9/fI6Du2o4/+qzOfOsM3jul89gc9k55zPnMnzKCDylni57fTX7a1n86Mu8t2QNmq4z9/wZXP+1q6gePqjLrtlbibF56hrqm3jhmdf4x6JnCfqDzJo3nX/7928wfNRQzOaOvfFpONjAsqeWsendTN6eKedOYc6Vc3npDy/QsLee6773aRoaWnjxsddoqmth2Jhqbrj1WgaPGkRxmZdUMkXDgQZeevgVdqzfic1p45xr5zP70lm4S9xd+fKFLtbdY7N5wzpkg5FkwI9j6HDsg6u7/JqC0BeJ+6ZQSP2BBt5+8m02LM/c06eeO5mFn11I+ZCBVcFQyE/TNJp21hALRLC67ZSMHoQsd89ciQ8//JAbbrgBl8vFeeedx4MPPtgt1y1EBETEzaPPiIaiJONJJEnCWeRsG7TptEqgKYCvwYeaVvGWeZEVmcbDzZitJjwlbjwl7rb91bRK2B9G13Usdgu6rhMNx5AkCXeRi2BLEC2tIisy3vKuL/WYSqYIBoLEIgl0Xcdqt+ByO7NmtwwUYmyeHlVVaW70oekaNrsNlyt7xkckGCHkD+NvCmB32nAVubJKU6eSaSKBMIl4EgCzxYTNZSMeiqEDZqsZi91C/aEGdE1HMSqUVuaW7ouFY8SjCWRZwuF1oLTmgugovy9AS5OflmY/Hq+LomIvRWL5WI/q9oDIR2tRzGaSwQD2wdXYq4d2+TUFoS8S902hkEgoQjqZJhFrvadbzRhMCnanvYd7JvS0Qx/t5KOnlxE7pviE1etg+g0LGDx9dJdeOxwOM336dP74xz9y3333MXXq1B4PiBh69OqCcBJsThs2Z3YuhFQixfb1O/nLjx4lFs4kbTQYDVz8+YUkk2le/L/XcBe5+M4DtzFs7BAUg4JiUHKeVlvtR3ONePMsYekq0UiU95ev5b///ddtCVbNFjPf+9HtnHfxfBzipiWcBEVRKKvIDVAA+Bv9/OPXT/Pxe5vatlUMKef2X3yd8uoyYtE461d8zCP3P54VEPnKv3+e6edMxWq3tB1XPrj9p0tWhxWrw9ruPoXU1zbyo7t/ybo1R6tLjZkwkl/+8b+oGlxxSucU+h5d0zLLZSRJ5BARBEE4SS2NPj5ZvZWn//dZkq33dJPFxA3fuo5JcydS1IUzn4Xe7dBHO1n555dztsd8YVb++WXO+sYVXRoUuf3227n88su54IILuO+++7rsOidD5BAR+rTmuhZ+//0/twVDIFO95ZVHl1A1rILiiiICLUHuv/1/aGnw9WBP8zt0oJZ7v/2zrGoziXiC//7337B3l6gTL3SORDzB8395JSsYAlB3oJ7f/r+H8Df5qTtQz0M/fKQtGJI5LsmffrSIugP13dLPUDDMz//rd1nBEIAdW3bz/dv/m5Zmf7f0Q+gFdB0kCUmS0E9QJUkQBEHI1lLXwuO/eLItGAKQjCd5/JdP0VLX3IM9E3qSpml89PSydvf56OllaF30IOKpp57io48+4v777++S858qERAR+ixN03jvlVUFy/KueGEl8y+dA2TK6m5Zu707u3dCyUSSJx5ZTKFVa4seepJoRJQqFU5fsCXEmiUf5G1rPNxEc10LS556u+DxL/99CYl44RJ+ncXXHGDl0jV527Zv3kVLU+8LagpdQ9c1pNYZIuhihoggCEJHhQJh3nxqacH2N558h1AgXLBd6L+adtZkLZPJJ+YL07SzptOvffDgQb797W/z+OOPY7FYTnxANxIBEaHPUlMqh/fUFmxvqmnCc8zSmIO7O39wn454PMn+PYVngRzcd5h4N3wIFfq/ZCyJWiBwCNBS7yfQHCzYXnegPuspU1eJRqLttgd8hfso9DOaDpIsZogIgiCcpFgkRmNNU8H2psPNxMLxgu1C/xULRDp1v5Oxbt06GhoaOPPMMzEYDBgMBpYvX85vf/tbDAYDqqp2+jU7SgREhD7LYDIwfELhRHuVwytoqj06LXDkxOHd0a0Os9rMjJtUeI3emPEjsNl6VwRV6JvMNjPGdko4lw4qprQqf+4RgCFjqjFbzV3RtSwOp73dDOciserAkZkhAkiymCEiCIJwEmwOG1UjKgu2Vw2vwOY8tTxfQt9mdXcsN2FH9zsZCxcuZNOmTWzYsKHta8aMGXz+859nw4YNJ52AvzOJgIjQZ0mSxOyLZmIy5/+gt+C6c3j31VUAONx2Rk8e0Z3dOyGj0cgNX7waxZD7B0CWZb5862ewWEVARDh97mIXC647O29b9ahBeEu9XHTD+TllqgFkRebyz1/YLVWPioo9XHzVeXnbZsydgrfY0+V9EHoJPTNDBEkquKxQEARByOVw2bnwM+cVvKdfcOP5OFwiaf9AVDJ6EFavo919rF4HJaMHdfq1nU4nkyZNyvqy2+0UFxczadKkTr/eyRABEaFPK6oo4q7ffoviyuK2bXaXjc/e9Wk2vL+JYEuIwSOquPdPd1NSUdzOmXrGoOoKfrfoZ1mVQYpLvDzw5x9RPazz/xgJA5PRZOSizy7kvOvPzQrAjT1zDLfd/3XcxS7KBpdw9//cmbXMzFPi5u7f3EHZ4NJu6afNYeOO732Vy669oG2miCRJnL1wDj/85XfxeN0nOIPQXxypMiNJEogqM4IgCCfFW+7lmz/7Gu7io6WY3cUubv3pVykq775qikLvIssy029Y0O4+029Y0O5s3f5I0gfgoxdRs73/aalvIeQPo6kaDrcDo9mArymA0WTE6XHgLjr67xyPJQj7w2iahtVmQVZkouEYsizjcNuJhWOkU2kMRgPOImfWFK5wIEw0HEOSJBxue1a53pORSqVoafSRSqvY7FbSqTR+XxB0HbfXRWl58YD7YwRibHa1RCyBr9FPNBTFbLPgLnLicB99UqDrOk11LaRa84UYLSZcHgeRQARN07HYzDg82U8WdF3H3xQglUhhMBpwl7hOe9pjNBylpdlPOBTBZrfhLfbgFE+zelR3j836d5dhqxpMMhhAsVjwjJ/Y5dcUhL5I3DeFQlRVxVfvI5VIAWA0m/CWe3p0aYLQOxz6aCcfPb0sK8Gq1etg+g0LurTkbm9l6OkOCMLpajjUyLN/fIEN721E13RGTBzOZ79zPdUjB2EwZv+KNx5uYvGfX+TDdz5CVTWGjKnm6q9ezvsvr2b8jLHoqsqyZ1YQ8oWwuWwsvPE8Zl08E6vDysFdNTz6wBPs2LgbSZY48+ypfP7b11NRXX5S/W1qaOapRc+z+MlXiUXjVA4u5/bv3cyMuVNwuZ2d+aMRhDbhQITNa7aw+M8v0VLvw2KzcP7157LgurPxlLhJpVLU7qtn8R9eYPtHO3F4HHz9v7/CkkeXsH7pBtS0SuWISj5157VUjxmM2Wom5A+z4b1NLH74RfxNAawOKxd95nwWXDMfd/Gpz+awOWzYHLZOfPVCX9L2nEbMEBEEQTgl8XicpkPNvPDQS+xcvxOA0dNGcfWtV1JSXdLrqnwI3Wvw9NFUTR2ZqToTiGB12ykZPWhAPowFMUNERNP7uOa6Fn7+jV/nVMgwGA385yPfo2r40aRSLfU+7v/mr2mua8naV1Zk7nno/7Hp3Y0se2ZFzjXmX30WZ39qPnff8F+kU+msNnexi/9edC+llR1bjuNrCfDju3/FB++tz2n74QN3c9GVCzIfAAYoMTa7hqqqrHx5NY//6qmctmnnTOGL3/8sIX+IX936IPFIJvP8V37wBd74+5s0HsrOVC9JEt/+3Z0MHj2Id/61nKd+92zOOedePIvP3XUDdqcIavQX3Tk2dVWl4f13sQ0eQioYQFJkvJOmdOk1BaGvEvdNIZ+6/fU8eMdv2+7pR5htZr7zh29TMfTkHuYJQn82MMNAQr/xyeotecuFplNpXn70dRKxo2Vrd2/ekxMMAdBUjWQ8yXvPv5/3Gitfep9gczAnGAIQaA6yYeXGDve3sb45bzAE4Pe/+BuN9c152wThdASagiz+84t529av+JhAU4CVL69ue+PkLfOQSqRzgiGQeXr//EMvEmgK8PzfXsl7zlVLPiDkC3XeCxAGlCPPaSRJyiRVFWV3BUEQOiwajrLqmHv6sRLRBO+/vIpouP0y94IwkIiAiNBnpRIpPn5vU8H27R/tJBaOtX2/fkXhwMWRvCH56JpOsDlYcM3luhUbSLauzzyRnVt2F2xrbvSJG5TQJWLhGJFg4d+tw/vqqNl9uO37yuGV7Nuyr+D++zbvI5VME4/mvtk6orEmN5giCB1ypMzukSUzouyuIAhCh0UCEXZ9XPj95u4Nu4kEIt3YI0Ho3URAROizZIOMu6RwngKHx458TEWN9rJqGwuU7j3CbDWjqmreNk+JB8XQsaHUXtlQWZYxmtrvhyCcCsMJfq8cbjtmy9GyuvFIPCvZ6vFsLhuy3P7SLqvz1BIOC4KYISIIgnDqDCYjdnfhROR2t1283xSEY4iAiNBnKYrCedeeXbD9ks9dgMt7NEnp3ItntXMumcoRlXnbisq92D2FbywXffq8DmfsHj56CLYClWnOvmBOuwETQThVTo+d8TPH5W2zOW2UV5cx9/LZbdv2btnHyCkjCuazOffas7F77Iw6Y0TedpfXSVGZKOsnnCLtuKSqAy/VmSAIwinzlno459r5BdvPuW4+nlJP93VIEHo5ERAR+rSSqmKuv/2anO0zF05n4uzxWduKKoq46d8/n/Mhb8KMsSTjKa76+hW4irKrvNicVr56382UVBQzL09A5XPfup7yQaUd7m9peTEPPPwjTGZT1vYhwwfxrXtuKRgsEYTTYXPa+MJ3P0NpVUnWdrPVxLceuBVPiZtBIyqZf/U8ILNMbPXrH3LN7VcjHTcTZPS0Ucy5fDZ2p52v/uBLFFcUZbVb7Rb+7de34Wln9pYgtEc/ZskMknT0e0EQBKFDKoZXcNZV83K2z7tyLhXD8z8AFISBSlSZERm5O106lSYZS2I0GzGajSRjSdKpNGabGcXQ+bXPY5E4geYAWz7cRjKeYuLMcXjLvaipNAajIWvaYDyayOy7djuxcIxx00djtVv5ZNVmPCUeho6vpvFgI4d311I+rJzBowfhLfMiSRJBfwhfg5+Nqzdjspg4Y/YEPMWuky4Pmk6laahvYtNH26irqWfS1HEMHz0Uo1FBh7yld+PxBMl4EqvN0q+nOYqxefKO5MmxOk4cTPM1+qndW8veLfspHVzCiInD8ZZ62sZlU10zqXiKptpm0HXKh5ajqRp7Nu4hGowyetooiiqKMFvNpJMpTFYzQV+Iw3tr2bftAOXVZQwfP5Sicu9pl25LJpLEYwnMFhNmi/m0ziWcvu4cm+lIhOaPPsQ5YhTJYIB0OEzJzNknPlAQBiBx3xQKaTrchJpSMwUFdJ3iymIUo0LJcQ9HBGGgM/Tkxe+//36ee+45tm3bhtVqZd68efziF79g7Nix7R63fPly7rrrLjZv3kxVVRXf+973uPXWW7up10IhaiqNr97Hhy+voWbbQTzlXmZeOYe6PbVsfHsDI6aNZNrFM/CWe5A6sc611W7BardQMSRTQqzxUCMrn3uPHWu3Y3VYmXv1PAaNqsJT5sViM2OxlVFeXZZ1jsphFW3/Xza4jIlzJ+Zcx+Vx4vI4GTqm+rT6azAaqBpcQdXgzDUb65tY8946nn3iZXRd58rrL2beuTMoqyglEopwcN9h/vm3F6g9VM/4yaO59guXUTm4vF8HRoQTCzUH2btxD+te+RBd15l64TRGzRiDq8DMjEQ8id8f4O133qO52Y9ljwWz24JiUtqWahkNBvbt2MsHr34AwKzLZjF6+mjmXTEXgHgkRuPBJlY++y6+uhaqxw9h9pVzGT99LJNmT+iU15WIJ6k9WMe/HnuFXVv3UD28ihu+cjWDhlaKGVQDRNtzmtYlM2KGiCAIwsnTdZ3dG3ez4e0NAEw9fyqjzxzTs50ShF6oR2eIXHLJJdx4443MnDmTdDrNvffey6ZNm9iyZQt2e/6cDXv37mXSpEnccsstfOMb32DlypXcdtttPPnkk3zqU5/q0HVFNL1rHNyyn8fvfRQ1nZ189LwvXUDNjhq2vb8Fk9XMzQ/cQtmwrql/Xr+/nofv/nNO9uxpF0znkpsvaTcJa09orG/m+7f/hE82bMvaPnLMMP73kZ/y4bvr+c0P/5TVZjAaeOCRH3HGmdlLgvoDMTY7JtQc5OmfPUXNtoNZ20uqS/nCfV/OGxTZ8MEn3HHTv5NMZldEuuveW7n8ugvRUir/98P/4/DOmqz2qpFVfPm/b8LqsLLh7fW89PsXstoVo8LNP/8aQyYMPe3Xpes6H63ayL9/4z40NftD8L2/+jfOvnCOCAT2kO4cm6lQkJYNH+EcNZpUMEjS76N0du7Ub0EQxH1TyK/xUCNP/PQf1O6uzdpeMaKCz/3gC5SdxHJvQejvejSHyOuvv85NN93ExIkTmTJlCosWLeLAgQOsW7eu4DF/+tOfGDJkCA8++CDjx4/na1/7GjfffDMPPPBAN/ZcOF6oJcSLDy7OCYYArHhiKVMvmAZAMpbgtT+/QiwUy9nvdEWDUd587I28pcTWv/URgcZAp1/zdH205uOcYAjA7h378DX5+d19f81pS6fS/PLe39Pc6OuOLgq90IHN+3OCIQBNBxvZ+v4Wjo9z1x9u4Kf/+WBOMATgf3/xF8KhCDvX7cwJhgAc3n2YHWt3EAvHePVPL+e0qymVxb95llBL6DReUWv/G1r4xT2/ywmGAPz6h3+ipUn8zg8EosqMIAjC6dmxbkdOMASgbk8dO9fu6IEeCQPdj370I6TWmZ9HvioqKk58YDfoVUlVA4HMB9aioqKC+6xatYqLLrooa9vFF1/M2rVrSaVy3+wDJBIJgsFg1pfQuWKhGL7alrxtalolEohgac1xsH/j3ra8B50pGoqy5f0tBds3vbux0695OsLhCM899WreNofTzv7dh0il0nnbDx+oI+Q//Q+gPU2MzZOXiCZY99qHBdvXv76OaDCatS0YCLN/T24ABTLjM9AcYM0rawqe84NX1xBqDuUNeAI01TR1ypgO+kIFA33xaJym+vx/Y4TO16NjUz++yoxYMiMIR4j7pnAiTbVNbctk8tnw9noaa5u6r0NCr6SpGvs27uWTZRvZt3Fv3odRnW3ixInU1ta2fW3atKnLr9kRPZpD5Fi6rnPXXXcxf/58Jk2aVHC/uro6ysuzl1uUl5eTTqdpamqisjI3c/L999/Pj3/8407vs3CsEzzB666VWe1cptelD9Y5rU7pJ/qZ9wFibHY+Hf2kf69OtHuHVlZ2wgA70e90rxvD/VhPjk39mLK7mSoz4h9eEI4Q903hRDJ/Mgv/3dR1/YRv24X+bevKzSx5+FWCTUcDqq4SFxd//TLGn5WbR7GzGAyGXjMr5Fi9ZobIHXfcwcaNG3nyySdPuO/xZVOzptfmcc899xAIBNq+Dh7M/6RUOHVWpw1vhTdvm2xQsHudxFufIA+ZNBSrw9IFfbAybk7hvBpnnH1Gp1/zdDicdq7+zGV528KhCENGDsZgzB+zrBxcnrcaTV8jxubJM9vMTL9kRsH2qRdOx+bKrnzkcjkYMmxQ3v0Vg4KnxM3MS2YWPOfMS2fhLHIiK/lvGUVVxVidJ1dtKR+3x4W3xJO3zWI1U1JeePag0Ll6dGy2zgg5smRGRMIE4Shx3xROpLSqhMkLphRsn3LeVEpFpZkBa+vKzTzzs6eygiEAwaYgz/zsKbau3Nxl1965cydVVVUMHz6cG2+8kT179nTZtU5GrwiI3Hnnnbz44ossXbqUwYMHt7tvRUUFdXV1WdsaGhowGAwUFxfnPcZsNuNyubK+hM7lLHJy5bevRc5TVvfsz5zLxtape0aLiUtvvaJTPjwdz+6yc/FXLsbqzK1EMfncyXhKPZ1+zdM1Y+4Uxk8anbN96IhqvMVubvv+TTltikHhuz+9neKyvv/hUIzNUzNk0jAqR1flbC8eVMLE+ZNyqjiVDyrjnvu+nTfAdttdX8HutDN21lgqhudG7SuGVTBu1jisTiuX3JIbwFMMCtd+51M4i04/QFdc5uV7P70jb8neb//X1ykuzR90FTpfj47NtgDIkSUzupglIgitxH1T6Ihxs8dRnqeAQdmwMsbN7n9J+YWO0VSNJQ/nX65/xJKHX+uS5TOzZ8/mscceY8mSJfzlL3+hrq6OefPm0dzc3OnXOlk9WmVG13XuvPNOFi9ezLJlyxg9OveD4fG+//3v89JLL7Fly9FcEd/85jfZsGEDq1at6tB1RUburpFOpvHXt7D6+fep2X4IT7mX2VfPpX5fA+uXrGXE1JHMuHwWnnJvwSfNp0vTNJoPN/Phax+wY+0OrA4r866eR/W4IXjKPF1yzdPVUNfE6nfX8tyTr6KpKld++mLOuWAu5RWlhIMR9u85xFN/XUztwXrGTR7Np2+6ksrBFZjM/a/ahhibHRdsDrJ73U72rN8FwJCJwxg7Z1zBsrvxWJyag3U8/9SrNDW0YLGaufJTFzF81BC8JZlAQ6AxwLYPtvHhax+g6zqzLpvFuFnjcZdmzhkLx2g80MCKp5fjr/cxeFw1866dT1FFEQZT56zATMQT1Byo4+lHnmfX1n0MHlrFZ79+LdXDq7DZOz+QKnRMd47NeFMjga2bcY+fSCoUJHroIGVnndOp5doFob8Q902hkMaaJrat2crH72xA13WmLJzG+NnjKBUVZgasfRv38tg9j5xwvy/dfzPDJg/v0r5EIhFGjhzJ9773Pe66664uvdaJ9GhA5LbbbuOJJ57ghRdeYOzYsW3b3W43VmvmKf8999xDTU0Njz32GHC07O43vvENbrnlFlatWsWtt94qyu72IulkikQsidFkxGQ1kYjESadVtNbkqrvX70KSZUZMG4ndbcfpPbkny7qmEWgKUr+3jpbDzVQMr8BV6mHf1v1EQ1FGTRmJq9hFKpFEMRpO+vydIRyM4Gvys+nDrciyxBkzx+Mp8WB3FP5AF/AHQQeXx5mz/CsWjZOIJ7DZrJgspq7ufo8RY7Pj4pE4YV+YvRt2o+s6w6eMwFHkxNqavFhVVXy1LdTuqaW5ppnKUVUUVxXT2NjC9o07KR9UxsgJwykuK0I5LkAZDUbRdR27O3/580QsQSqRwmKzdFogJOca8QSxaByLxYzF1vlL7IST060BkcYGAtu24JkwiVQoSOTgAcrmnY2k5M5AFISBTtw3hUJa6lvQ0hr+ukyyck+FF8Wg4C0Xsy0Hqk+WbeS5Xz1zwv2u++6nmbRgcpf358ILL2TUqFE89NBDXX6t9vRoUtUjL37BggVZ2xctWsRNN90EQG1tLQcOHGhrGz58OK+++irf+c53+MMf/kBVVRW//e1vOxwMEbqewWTEYDo6e8FstxBv9LPi6eV88HJ2JYv5nz6HOVfNxV3gqfbxdF2nbk8df793EfFwvG27t8LLxd+8gsW/f57nQzHOvHA6V37jih4JhgR9IZ7+6/O8/MQbWdtvvPU6Lr/xQpxuR97j3J7Cb2SsNgtW8aFQaBULxfjgpdUs/8c7WdtnXjWHc25cgMVh4fCuw/z9Px/Nqv7iKfdyyTcv59lHXiYUCGO1W/jJn+5h5IRhWctUjs9Bcjyz1YzZau7cF3X8NSxmzJauvYbQO+lHqsocySHSuk1CBEQEQRA6oqW2hQ9fWs2aF7Jnz8+6ag6zrp5DUUX+NANC/+bo4PLmju53OhKJBFu3buXss8/u8mudSI/OP9Vb1wUf/3UkGALw6KOPsmzZsqzjzj33XD766CMSiQR79+7l1ltv7d6OCyft8K7DOcEQgPeeWUHjgYYOnyfYHOSJH/09KxgC4KvzsfLpFZx11TwA1r35ETvW7Ty9Tp+iHZ/szgmGADz1p+c4uKemB3ok9DeNBxtygiEAH764mprthwg0BnjyJ4/nlML11/tY+c8VXHFjpnR5LBLnJ3f+iuaG/KVuBaFHHFdlJmubIAiCcELNhxpzgiEAH7y4mqYDouTuQDVk4lBcJe3PJHOVuBkycWinX/vuu+9m+fLl7N27lzVr1nD99dcTDAb58pe/3OnXOlliQa7Q5cK+MO8vXlmwfdUL7xMNRTt0rmBjgIgvnLft4Ob9DB03pO37d55aStiff9+uEglFee7Rlwu2v/D310jEE93YI6G/SSVSrF78fsH2lc+sIBlLEGoJ5W0/uPUA4yaNbPs+5A9Tf6jjQUlB6GrHVo6TkLK2CYIgCO0LNAX54MXVBds/eHEVgeZgwXah/5IVmYu/nr/C5REXf/3SLsn1eOjQIT772c8yduxYrrvuOkwmE6tXr2bo0M4PvpysHl0yIwwMqWSKSCBSsD3ij6Am0x06VzwUa7ddTatt/x/2h7O+7w6pZIpAS+GbjK/JTyqZFksBhFOmptKEffmDHZAZT+kTjKfjx0XQX/h8gtDtdP3ozBC59b9652e8FwRB6I/SySQRfzvvuwMR1GSqG3sk9Cbjz5rIp//jRpY8/GpW6V1XiZuLv34p48+a2CXXfeqpp7rkvJ1BBESELmdz2Rg6aWjBpTHDJg/H4sotlZuPp7JwqVmT1ZT1FHHEGSOw2Ls374bdaWPyrInU7KvN2z5t7mSs3dwnoX8xWc2MnD6aQ1sP5m0fPmVEu2WtTRYT6nEfLgcPyy3hKwg95tiAiJghIgiCcFJsLjtDJg6lbk/+96JDJg5r932C0P+NP2siY+eM58Dm/YRbQjiKnAyZOLTLqoD2dgPzVQvdymw1M/eqeRjzlIk128ycedEMjMaOlZB1eByMn58/cjnrqrl8+OZaABSDwkVfurDLEz8ez2gycsXnLspbCcbusHHelfNRRKUE4TTIiszk86dgzhNYM5iNzLl2HgajwoQC42TmlbN568V3j35/zjQ8HUxqLAjdQde1tkpbksghIgiCcFKsDivTL5uJyZr7XtRoMXHmZTPbKtIJA5esyAybPJxJCyYzbPLwARsMAREQEbqJt6qIr/7yFoZMOJrjY9gZw7n5l7fgrex4+S+r08ol37icsz59dtsfervXwcKbLwajwpZVWxk8ehB3PHgbpYNKOv11dET5oFJ+/uh/MW7K6LZtk2dN4P5Hf0BZVc/0SehfPOVebn7gFoZNGdG2bfD4Idz8q1vwlHtxl3q45KuXctZ18zHbMkFBu8fBJbdcBg4Ta5atw2I1c80XL+Ob//kVXJ7ur8YkCAUdO0PkmCozgiAIQse4Stx86f6bs5JjDpk4lC///GZcpeIhiCAcS9IH4DxUUbO95wSbAsSjmaSiFoeFZDRJLBzDZDFidVhRk2mS8SRmuwWDyUgkEAY9E+2WZIloIILBZMRoNZGMJkin0hjNRhSzkZAvhKZq2F12DCYjIV8Qg9GAw+PA6Tla6jbQEiTUml/E4bbjKXGf0qyNRDyJvzlANBzFYjVjsVqIRKLE4wncHhdGk4FYJI4kSThcdhwue6f9HPsrMTZPjq/RRzKaBF3HZDXjKfMcfaIORINRIoEw6ZSKwWTAVeTE1xwgGU9iMBlxeRyEgmGC/jBGo4HyQWXEg9G2Kk4WpxWby4a/KUA6lcbusmM0GQi0BIlF49iddrylbqx28aSpv+vOsRnev4/o4Ro84yeQjsUI7dpB0dTpGJ3ib4IgHE/cN09fqDlErDW5v81pxVHcf36OzYebibdWnLM4rBRXiXK7gnA8kUNE6FauEjcuINDgZ/Xz77PqhffbEkAOO2M4C25cwGv/+zzJWJLJF51J0aBiXv3jSziLnJx/04XsWr2dnWu2UTV2MPNuPJcPX17NxIXT+Nfvn6fhUCMATq+DK796Gbs/2cua1z+kesxgvvKDL1I+pIxDu2v44w/+xqE9hwFwuOx8/js3MP3sydhOYj2lvznA4kWvsORfS0mn0kiSxNR5Z3Dxp8/jp9/9HzRV43O3fopLrjsft7f/3FiF3iGdSrN78z7+/KNHaKxtBsBb6uFr936JsVNHYbaaCTYFeP3Pr7BjzXYArvjWNXy8t5aPl3zUllR12NQRTLzsTP7r337FPb/4Fmo4yQu/XUygMQBkxuvV37qG7Rt389r/vYHVYeWSL11EXX0jLzz2GgajgYuuW8DVX7qU4orC+X0E4aToes6SmQH47EYQhC6WTqU5vP0Qr/7v8wRb73vOEheX3nk1g8ZXYzR1bDl3bxRoCdCwpz7rnu4udXPVnddQPrwCt1gqKwhtxJIZodulUik+emMd7z6zIqsaxr5Ne3nlTy9z1ufOJ51M89HLawjU+xk9ayyhlhAvPriYSRdMxWQxcXj7IZb88SXmf/Y8/vqj/2sLhgCEfGGeeOBppsyfhMPj4OCOQ/zmzt/ReKiR+77xQFswBCAcjPDnHy9iz9Z9He5/MpHk+f97lVeefJN0KtN/XddZv3Ij//rrS3zhm58mHkvwyP88wXtvrkHTxFRvoXM1Hm7i53f8T1swBMDX6OeBu35H/cEGooEIix94lh2rt4GuM+GsiTTuqeWjVz7MqjCzb8MePnzyXW777k0Mqirn8R891vbGCTIzuv7x478z/ZzJ2BxWYuEYi//4AsNGDGbQsErSqTSv/vMtXn7iDeKxeLf+DIT+S9e1nCUziL+jgiB0Mn+dj6d/+Pe2YAhAqCnIMz9+HH+drwd7dvqivkjOPT3QmLmnR9up/CgIA5EIiAjdLtgQ4P3nV+ZtazzYiNFibMsP8vGStZyxYAoAuqbz8VvrGduaLNJT7mX98o0k48m851r+3HvMuWQmkCnBu/uTvTiOWTpzrH/+YTEhf7hD/fc1BVjyzDt523Z9sofBQ6tQDJklOH//w9O0NPbtm6rQu6hplbefW9EWjDuWrum89NjrhH0hDm7e17Z9wvyJbHprfd7zNeytY/rcSbz//Ptoau6HTk3VWP3CKq746qVt25Y+vZwLrzu37fslzy7F1xDIOVYQTomuHykuc0wOETFDRBCEzpNOpVn30uq89z1d0/nwmBnMfU04EOb9xSsL3tPfX7ySiAiKCEIbERARul0qkSIeKfw0uaWuBbs3E7hIxpLI8tGcCA376nGXZ5Kwusu97Nt2oOB5avbUUnxMmd59W/YXTGp6aPdhkon8gZXjxSIxUu3cJFsafdgdmeU3vuYAiQIBG0E4FYlYgj2b9xZsrzvQQKAxmLO9vTd26ZRK/d785fkA6vbUUlp5dN1x3f56SiuOjqVkPEksEjtR1wWhQ/Q8S2YQARFBEDpRKpakbtfhgu11u2pJxhLd2KPOk4gkqNtbV7C9bk8tiXbehwvCQCMCIkK3M5iMGEyF09e4S9zEQpkPV4pBOTplGvCUe4i2zuSI+MKUV5cWPE9JZTHBlqOzPsqHlhNoyf2geGRfg6FjKXUsVktWkCan/15n24dDm8Pap9egCr2P0WyiYkh5wXZ3iQu7NzuBryTL7ZZTU4wK3vLCOUC8FUWEAkfHkrfMQ9AXavteVuS2ajaCcNryVZkRS2YEQehEBrMRT2Xh+56nwovB3Dffv5ksRrwVhSs4eiuKMFr75msThK4gAiJCt3MWOZh6wbS8bQ6vA8WgEG8NiIw7exLbV29ta59ywXS2vvsJAHW7aphz8UykAsGJ+VfNY82SDwEwmo1MmDmOw/vyR8yv/erluDuYVdxd5GTOwhl52yqqywn4Q6RalzNc+8XLKSrteFlhQTgRo8nAxTcuLNh+5ZcuwVXsonjw0Rkcu9btYPSccXn3d5W52b1tP/OuO6vgOedeM4+XHnm97fv515zF2y+uONp+wQyRPFjoPMcERMQMEUEQuoLRbGTWtYXve3Oum4/JYurGHnUeZ5GLs66dX7B93nVn4RT3bEFoIwIiQrcz2yycc8MCxs7K/oDmLvPwqbuuZ9U/lwMwbNpIRs4czeZ3P0ExKJz7+fOp21FDLBjF7nVwye1XsXnZRr74vRsxW48+nZYVmQs/t5CW+pbM8hu3nW/9z214y71898FvZVWTkWSJK750MWfMntDh/lvtVr78nRs5Y2b2MZVDyrn5e5/j8YeeAeD8y+dzxWcuwmA4+ZK+gtCessGlfPMnX8V0zNMrg9HAl777WQaPHITD6+QzP/h8W1Bk49sbGHf2JIZOHp51Hk+Fl3O/djG//elf0RWJK2+/Omv2lsFk4IrbrqShpglfvQ9Jlph3xRxks8Ku1mU7Z8wcz+fv+DQOtygrLXSOzGyQ42aIiICIIAidrKiqmEu/lX3fU4wKF992BUWD8y+x7itcpS6uvP2q3Hv67VfhLvX0XMeEAa2mpoYvfOELFBcXY7PZmDp1KuvWrevpbiHpA/BdxkCt2Z6MJUhGE0iyjNVtQ5Z7Nh4Wag4SCUbx1bVg99ixux1oyTRhXwhniRuDyUCgKYieVnGVuZEkCX+tD7PdjMVhJRFPEGgIUFRVjCRLBJqDpFMqRRVeZFmm4VAjFrsFT6kbT4kbWZZR0yq+Rj/NdS0k4gnKBpXiKXFjsVlOuv9Bf4hAc5Dm+hZcRS5sDivhYJiAL0T5oFI8RW4cLvEh8WQM1LF5KlLJFL6mAE2Hm9A0nbJBJbiL3ZiPeaIV9oUIt4SJBMI4S9xYbGaS0QSh5iBWlx2zw0I0nuDQ3hqsdivVwypR42l89ZlEwJ4KL0azgZZ6P4lYkuLKImRFxtfkJ9ASpKSyGLfXiVfMgur3unNsBrZtIR2N4BwxCl3X8X+yEdeYsVjLK7v0uoLQF4n75ulJp9JEA1Hi4Ri6rmN1WrG6bP1iuXOgOUAymsR/5J5e7sVsM+Pq4IxooX9TVY2t63fgb/LjKfEwftoYlHaWV58un8/HtGnTOO+88/jmN79JWVkZu3fvZtiwYYwcObLLrtsRHUuakMfbb7/N22+/TUNDQ05Z0UceeeS0OyZ0HjWdJlDrY/U/V3Bo017MNjNnXDKDsedMwu519li/nMUunMUuKoZXZG0vHXY0P4KnPPuDlrcie71n5Yiqo8cNzs4nUlJVzPEi/jCbl25k/Zvr0NIqQyYOY8Hnz8dkNiIrJzeTw+Vx4vI4qR456JitZSd1DkE4VbFAlB1vbWBXa2ndYdNHMe2qOVkBEYfXiSPPGC8ZcvT31AsMGpoZg756Hx++vIZD2w8BOoPGDGbudfMZMSl7ZklJZe7YEoTOoh+bQ+TINm3APbsRBKEbhFtCrHpuJZuWbQR0Jp07mbnXzW83B0dfIak6W99aT6o1OWyt1czUy2f1cK+E3mD1O2tZ9KsnaG44WgmzuMzLV777Oeacnz8twOn6xS9+QXV1NYsWLWrbNmzYsC651sk6pRkiP/7xj/nJT37CjBkzqKysPLrGt9XixYs7rYNdYaBF05sONPDsvY+iptSs7ZXjqrn4367BVqAUbX8Tag7y1H//g9qd2VnFjWYjt/zvNylpJ0Gr0D0G2tg8VaGmAIt/9DjhpuwkwVaXjU/d92VcZZ6TPqe/wc+iux8m1BzK2u4ocnLzr7+O5xTOKfQf3Tk2/Vs+QU0kcA4fAYDvk404R4zCVjXoBEcKwsAj7punLnPf+wuh5ux7qcPryNz3yvtuUCTUGOC5/3qMiC+ctd3mdfCpn3wJZ6m7h3om9LTV76zlge/+oWD73b+6vUuCIhMmTODiiy/m0KFDLF++nEGDBnHbbbdxyy23dPq1TtYpzYv505/+xKOPPsqaNWt4/vnnWbx4cdaX0HskInHe//vbOcEQgNptB/HXtvRAr3pG/d66nGAIZMoAL/372322vJowsOi6zr51u3KCIQCxYJQt73yMquaO93bPqWlsXr4xJxgCmadnm5dvRFNFlQ+hexxbdhcASULXxe+fIAidR9c0try7KScYAhD2hdm0rO/e93RNZ+f7W3KCIQBRX5id728Rs+4GKFXVWPSrJ9rdZ9EDT6J2we/+nj17eOihhxg9ejRLlizh1ltv5Vvf+haPPfZYp1/rZJ1SQCSZTDJv3rzO7ovQBZKxBIc+2Vewfc+HO7qvMz3skxWbCrbt/HA7MVGTXegDktEEu1ZtKdi+54NtJMIn97scC8fZ8t7mgu2b3/2E+EmeUxBOmaZlLZmRJAnEm3dBEDpRLBJny7uF73tb3vuEeCTWjT3qPIlInN2rtxVs37VqK4k++tqE07N1/Y6sZTL5NNe3sHV9538+1DSN6dOn87Of/Yxp06bxjW98g1tuuYWHHnqo0691sk4pIPK1r32NJ55oP7ok9A6SJGEwFk4VY7KZC7b1Nxa7tWCb0WJCIn/5XkHoTWRFxtBOKUCj2VSwFHV752yvvKDJYkI2iPEhdI+cHCJihoggCJ1MkWWMlsKJU01mE1IPFx84VZIiYTAXfm1GixGpC5NnCr2Xv8nfqfudjMrKSiZMyK7QOX78eA4cONDp1zpZHU6qetddd7X9v6ZpPPzww7z11ltMnjwZozF70P3mN7/pvB4Kp8XisjH+vClsWpK/pNGo2ePybu+PplwwlQ9eXJW37cxLZ2L3ioowQu9ntJiYfMkMDm7Yk7d98mUzsR5TWrojLHYLs66ey/4Cs8lmXz233YCiIHQqXUOSjya5FjNEBEHobGa7hdnXzGP/pn1522dfMw+ro2/e98w2C1Mum0nttoN52ydfOhPzKVRXFPo+T4mnU/c7GWeddRbbt2/P2rZjxw6GDh3a6dc6WR0OiKxfvz7r+6lTpwLwySefdGqHhM5lMBqYeuUcDm7cm5MvZPaN52Iv6rkqM93NU+bhrE+fw8pnVmRtLxtWzozLZqKcZJUZQegppcMrGDVvPLve35q1ffDk4QyeNOyUzlk9vpoxc8azY3X2OcfMHkv1hCGn2lVBOGmZHCLHbJAkTiH/uyAIQrsGjx3M2HkT2P5+9jLU0bP6/n2vfMwghs8Yzd61O7O2D5s+isqxg3uoV0JPGz9tDMVl3naXzRSXFzF+2phOv/Z3vvMd5s2bx89+9jNuuOEGPvjgAx5++GEefvjhTr/WyTqlKjN93UDMyB1uDtGw+zC7Vm3F6rYxfsEUnKVuzPbeFyFWVbXDwQlN05BPYkpjNBQlUO9n/RvriIVinLFgMhUjq3CVnPrvwcn2QShsII7NUxUNRAjU+di69GN0VWPsgsl4BxVjz1M1qqO/o2F/GF9tC7W7DqMDVaOq8FYU4fCeuBLV8dcQ46J/6c6x2fzRWmSzCfugagACO7ZhKSnFOWJUl15XEPoicd88PWF/mGCjn4g/gg7Y3Tbcpd4O3fd6u2ggTLDeT8PeOtB1ykZU4ir3YnOLGdEDWbtVZiS4+5ddU2UG4OWXX+aee+5h586dDB8+nLvuuqtXVJnp8AyRY91888387//+L05n9uyCSCTCnXfeySOPPNIpnRM6j6PYiaN4LMNnjskpk9wbxEJRIi0hti7bSKQpSOX4aoZOG4Wnsihn33QyRbApyLblm2g62Ej1xKGMmDkGV4n7hLkTbE4bNqeNylFVuZUMToKmaTTXtbD+3Y1s/WgHg0ZUctYlsymuKMJkLpyLQRA6i81tx+a2F3zSk0qmCDQE2LhsA/V76xk6aRjj5o7HU+YpGKhQVY1wNMa6tZlEc85KDy6tcGk+XdMJNgXY/eF2Dm0+QOWYQYyaPY6mvXXsXr0Nq8fOhPOn4uqlwVehl9L1rJxOkpghIghCF0knUqQiCfauyiQhHTN/Iml3qod71TlSaY2WUISV738MwLklTqzFA2dmuJDfnPNncPevbmfRr57ImilSXF7EV+7+bJcFQwCuuOIKrrjiii47/6k6pRkiiqJQW1tLWVlZ1vampiYqKipIp9Od1sGuIKLpvUs8Gmff2p2889DLcMxvo8Vp5ar//BwlQ4/+nqlplQMb9/L8/U9llQwz2czc8N9fomxYRbf0+cCuQ/z0Gw8QDR/N0i0rMv/2q9s4Y9b4dhPZCoWJsdk51LTKno/38PgP/y+rbKDZZuarv7yFypFVOcf4mwL87f7H2fDexqztU8+axFf/40t4SnIDIw376nj6B4+RjCZQjApX//tneG/RGwTr/Vn7zfnceUxcOFUERfqw7hybTWvXYLDZsVUNylx71w5Mbg+u0WO79LqC0BeJ++apC9T7eHfRGxw4LifX4MnDOOerl+Ap9/ZQz06fvznA3352cvd0YWBRVY2t63fgb/LjKfEwftoYlAGabPekXnUwGCQQCKDrOqFQiGAw2Pbl8/l49dVXc4IkgnAiMX+EZQ+/lhUMAYiHYry7aAnhllDbtogvzMu/fjanfnoymuD1/32BaCDS5f0N+kL8+UeLsoIhAJqq8cf//Av+5kCX90EQ2hNqCfHPnz2RFQwBSEQT/OuXTxP2hXOO2blxd84bJ4ANKz9hx8e7crZH/WFee/B5ktEEAGPmTWDnu5/kBEMAVj+xlEieawpCXjp5qsyIGSKCIHSuup2Hc4IhAIc27qOuQELSvmLnx+3c0zfm3tOFgUdRZCbNGMf8S+Ywaca4ARsMgZMMiHg8HoqKipAkiTFjxuD1etu+SkpKuPnmm7n99tu7qq9CP9W4rx4treZtq912iEQk3vZ9oMFPKp7Mu2/TgQZiwWiX9PFYYX+YAzsP5W2LRxM0HGrs8j4IQnsCjX4SrYGK4zUcaCAazA4cRkNRlvzznYLnW/L0O0RD2WMrForRfPDo7/qIM0ez54Ptxx/aZu/azq9pL/RPuq5lLWeUJAlEQEQQhE4Uagmx9e31Bdu3vL2BUHOwG3vUeaKhKK//8+2C7Uv+mXtPF4SB7KTm9S9duhRd1zn//PN59tlnKSo6mt/BZDIxdOhQqqpyp2ILQnsKBTiO0NJHn3KnE+2v6zz+iXhXSKv5gzdHJE/QR0HoaqlE+8sW1ePGiappJNsZh4lYIueY48eaJEuoqcJjIxXLH6ARhBy6njtDROv6v+2CIAwcuqqSbudemUqkuuU9ZVfoyD29r742QegKJxUQOffccwHYu3cvQ4YM6ZXJOYW+pzxPPoMjXOUeTPajSUq9VUVIspSzZAYySSYtzq6vGe9w2XEXuQi05D45kGSJyqHlXd4HQWhPUaUXWZbR8nyItLnt2Jy2rG12p43ZF57J3m37855vzoUzsbuyj7E4rVhdtrZZWQ176qgcX03t1vzTjIed2fkl3IT+Sc8JiMhihoggCJ3K5nEwbMZoGvbU5m0fNmN03qptfYHdaWPOhTPYt+1A3vY5F87Edtw9XRAGsg4vmdm4cWPbVyAQYNOmTVnbjv0ShJNhcVoZe+4ZuQ0SnPXFC3CXHU1qZXXZmXnNvLznOf9rl+Dwdn32bE+Jmy9/97N52y77wkW4uqEPgtAeu8fBOZ9ZkLft8luvwFmU/TsqyzKzF87AW+bJ2d9b6mHOhTNyKtM4vE7O/9olbd9/8vYGpl05B9mQWzJ78BnDcOU5tyDkpenHLZlBzBARBKFTGYwGRs0djyNP1RW718GY+ZMwmPpmgnxZlpl9QYF7eln+e7ogDGQdrjIjy3Jb6bsTzQxRT7CkoKeJjNy9T7ApwIENe/hkyVqSsSSuci+zPn023kHFWI97mh0NRjj0yX4+fP590sk0VqeVeZ87j9Kh5Zht5m7pbywS48CuGp7542L27zhISUUx13z1csbPGIvLIwIip0qMzc4TCUTY98lelj7+Dr76FiqGV3LBTRdROaISS4FqL421Tbzx1DusfH0Nuq5z1iWzufizCymtLMm7fyIap3FfA+/9420a9zUwes44pl02i49eWMWhTXsx2y1MuWwmo+ZOwO7tm0/ahIzuHJsNK1dgKavAUloKQPjAPkCiaPLULr2uIPRF4r55eny1zWx8bS37P8okGh06dSSTL5uJt6q4h3t2+o7c09cu34Cu68xcMI2Lbjy/4D1dEAaqDgdE9u8/OpV6/fr13H333Xz3u99l7ty5AKxatYpf//rX/PKXv+Saa67p0MVXrFjBr371K9atW0dtbS2LFy9u99hly5Zx3nnn5WzfunUr48aN69A1Qdw8ToemaUR8YcJNQZLROO6KIqxuG2Zb5gNWLBglGogQagpgc9mxFzmwF5gxkQjHiAWjhBsD2EvcoEiEW0JEg1Hc5V7sbhvOIlfrvnGiwQiBeh+OIiey0UDYHybUEsJb4cXqsBH3h0klUrgritBUlUCdD6PNjKvEhd3rRFZk1LRKxBcm2OAnlUjhqSzC7rFjsmYCKRF/mLAvTLApgLPIhaPI0e6sk3AwQjKeRDEouIvE79LpGshj01/vI+IPE2wK4i7zYPfYcZd6Cu6fTqYI+8L46lrQNZ2iymLsXjtGsylrv7A/jJpWMZqNpJNpIv4wvjofDo8DR5ETRZHxH27GaDHhKHZlxnhrsjWH24GWVgk2BkjGEnirijFZTMSDUaLBCM4SNzavA/RMfxSDgs1tJxlLkozGkWQJm8chllf2A905NuvfW461ohJLSSYgEjl4AF3TKJoyrUuvKwh90UC+b3aGUHOQdCKFv94HOrgrvBjNJpx5Zo70NfFwjLA/QkttMwBFVcU4PHYs9q5fXi4IfUmH54INHTq07f8//elP89vf/pbLLrusbdvkyZOprq7mBz/4QYcDIpFIhClTpvCVr3yFT33qUx3u9Pbt27P+6Je2PkUSupamajTsruXVXz1DPHS05Oz486Yw+zPnomkqb//hZWo2Hw2eucq9XP79T+dE2qO+MKsfe5NDG3ZTMWEIZ1xzFv/86ZMEG4+WrB05fRSX33EVJrORlX9/m50rt1A2spL5X72YJ3/yKC2Hm9v2HTpxGFd/6xr8dS1se/cTtq7Y2FbG1+KwcuX3b6BkWDm12w/x0gP/aisVKskSZ145hxnXzCUVT/Gvn/+T2p01bectGVLKZ37webwVRxMIH8vhsoPLfuo/VEEAmg418cxPn6TxQEPbtqrRg7ju+zdQVJn7u5eIJtixZhuv/P4F0slMUjjZoHDBzRdzxnlTsDqOvtlxtK6B9tW1sPjB59j78dESg94KL9d861pWPvIGQ6aMwFXu4YOnV6CmVCrHVTPxoum89edXiIdbKz1JMGnhNM5YOJVXf/EMAIMnDeX8267AWXz0b7LJasJkzQ7MCEKHHT8TVZLQdbFkRhCEzhVo8LNv/S6WLXqjLSm4YlA4+0sLGTVzDK5jlmz3NWFfmM3vbeL1v7xGOpV5n2AwGrj4a5cy8exJOMXybkFoc0oLyDZt2sTw4cNztg8fPpwtW7Z0+DyXXnop9913H9ddd91JXb+srIyKioq2L0XJXbMudL5wc5AXf/pkVjAEYOvSj9nx3idseefjrGAIQLDexys/f5qIL9S2LZ1Ms+nl1RzasBuAKdfN58mf/CMrGAKw+6NdrHhyKf5aHztXZn6v5n5pIU/+9ImsYAjA/s37ePPRN3APKmbr8qPBEMhEyBff9w9CTQEW/+zJtmAIgK7prH1hFfs+2s27Ty/LCoYANB1o5F8/e4qIP3ySPy1B6JhAg59nf/7PrGAIwOGdNbzyuxcIt4RyjvHVtfDCb55tC4YAaGmVNx5+lcb9DTn7R4NR3ly0JCsYkjmPj+cefI4zr59P9eThrPrH0rY3hdOunstrv33+aDAEQIdP3lpP7Y4axi7I5P059Ml+Vv1jKclY+9WiBKEj2iatHhcQIU8ibUEQhNMRbg7y9sOvZVVIU9Mqyx55g2Bj3yy5e0Tz4SZe/uNLbcEQgHQqzSsPvURzTXM7RwrCwHNKAZHx48dz3333EY8ffaOcSCS47777GD9+fKd1rpBp06ZRWVnJwoULWbp06Qn3TyQSBIPBrC/h5NVsOVCw7O36F1dnPSE+VrDBT7j56Ie6eDDCzhWbALAVOQn5wnk/9AFsWroRxWwEwGAykE6pOcGQI7at2YpUIElU2fBKdry/JauE77FW/+tdSgeX5W2r31tHJBDJ2yacHjE2M8GK+r11edv2fryHaGsVlyPSyTRrXlhV8Hzv/XMZiWg8a1vEH2bze5vz7h9o8GO0mdm16mgwu3R4BXU7awqW0V374mrGnzel7ftdq7YSC4ox0p/02NjMExCRxAwRQWgj7pudI+wPs+6lNQXbP3xxVcH3pr1dPBxl5bPvFWxf+ey7xMPRgu2CMNCcUkDkT3/6E2+99RbV1dVccMEFXHDBBQwePJg333yTP/3pT53dxzaVlZU8/PDDPPvsszz33HOMHTuWhQsXsmLFinaPu//++3G73W1f1dXVXdbH/sxX01SwLRaMYmonoWnEd3SGRTqZRktnPmg5S934G/wFj1PTKulUJghj8zoJ5il1e4Su6QXrrts8dlraiYiHGgNtSwvyyXpKLnQaMTYhFmr/TUkilsj6Pp1K4SsQFATw1/tJJdJZ21KJVN4SvEeEfeGs33Gr206g0V94/+YgBpOx7Xtd0wsGS4W+qcfGZmtA5PglM2KGiCBkiPtm50gnkgTbef8ZagiQ6qP3tUQsha/eV7DdX+8jIWZ1CkKbUwqIzJo1i7179/LTn/6UyZMnc8YZZ/Czn/2MvXv3MmvWrM7uY5uxY8dyyy23MH36dObOncsf//hHLr/8ch544IF2j7vnnnsIBAJtXwcPHuyyPvZnFaMHFWxzlXuI+gs/IXaVudv+32g2tgVP/DXNlAwunAPGbDNjMGZS3YSbA3jLC6/nNBgNmK35gzL+Oh9VYwcXPLZkaBm++paC7Ta3yBPSFcTYpN2kvZIsZ+UDATCaTQxq53e5clQl5uPyd5itZoxmY4EjwFXqxnFMUuBgvY/SoflnTAEUV5eSiBwNoBhMBowiZ0i/0lNjs628rpghIgh5iftm5zDbLZQNryjYXjq8+yoXdjarw0LlyMqC7RUjq0RiVUE4xikXobbZbHz961/nN7/5Df/zP//DLbfcgt3e/R8a58yZw86dO9vdx2w243K5sr6Ek1c6ohKbJ/+/8ZwbF6Cm03nbKkYPwn7M7Aurx86ky2cDmUozZrORsqHleY+dffVcdDXzRlhLa6iJNEMmDMm775mXzDj6Zvo4UV+YYdNGYi5QbnT+F84nFsk/C2T0zDHYRUCkS4ixCVaXlZFnjs7bdsaCM3KCcYpBYfqlM1EMubmTJFli3vXnYLRkByecxU5mXzkn7zWqRg8iVNfCyLnjkJXMLcFf24K73IvVZct7zNzPnMOGF1cf7eelM7C1M8NK6Ht6bGyKHCKC0C5x3+wcVoeNaZfPQjbkfhSSFZkzr5zTZx+Gmaxm5l1zVts9/ViyIjPv2rP6bLBHELpChwMiL774IqnWpQsvvvhiu1/daf369VRWFo6CCp3HWeLimv/6AmWjqtq2mWxmzvnqxQyeNIwxZ01i6pWzUYytH9QkGDZjNBd++xqsx9xUZEVh5PxJTLl6HgaTkdWPvM6n/v0GRkwb2baPwWzkrOvPZtrFZ+Ku8DLviwsxWk0s/eNLXPPt6xg3Z3zblGqD0cDsK+cw4+IZ7F2znflfWJgV+CgfWcmnfvxFPBVFfOa+L1NyTPDF6rJx6bevoXxUFXOuOYtpl8xAbv2gKckyE889g0tvvwqrU0TSha7hLHJx+e1XMmH+RCQ58zstGxSmXXQm533xAmx5ghKeci9f+NlX8B5TgcZV6uazP/oiRcdVdILMm6M5V85l3nXzMZgyM64kSWLMrLFc8pVLWPvMe2x89UMu/NbVOEszs7nWPLGMy79zHWUjjj5BszgsnH/LpUjAwY17UYwKU6+czZRLZ7XN5BKE03EkqaqWSuHfuoVkMIgky2KGiCAInc7msXPtf3wWV5mnbZur1M0193ym4APAvsJb4eWLP/kynmNmVnvKvXzhx1+mqKLvVs8RhK4g6W0p3dsnyzJ1dXWUlZUhF0hcCZk32aqaPxHf8cLhMLt27QIyiVJ/85vfcN5551FUVMSQIUO45557qKmp4bHHHgPgwQcfZNiwYUycOJFkMsnjjz/Oz3/+c5599tmTqlQjarafWDwUJRVLIMkyZrsF4zFLUWLBKPFQFDWlYnZYsHkdbZV+0sk0UX+YZDSBwWzE6rYXjEKrqTSxQCSzr8UAioFEOE4ynsTqsiIbFGKROLquY7VZMJkMxAJRFIsBg9FILBInEU1gsVuwOi0kQ3E0TcfqsqGqKolwDMVoyHyfSJFOqRgtRnRdJxaMoqY1rE4rRquJeDiOLMuYbCYSsSSJSByT1YTFbiUVT6KlVUxWM3aveArelQby2IwGo0T8EZKxBGabGYfXicWRf0bTEeGWENFQFFp/7002MyF/GDWtYrGZcbgdJIIR1JSKYjSgmI0EW0Jtv982tx01mSIeiqEYFGxeJ6lYIrNuWs+Uz5UNCrFghHRKzYw1t52oL0QqnsJkM+MsdmFoZzmO0D9019hU4zGaPlyDweki6fdhcLowu93E6usoP+ucLruuIPRVA/m+2Vn8db7WPFg6BrMJTz8KGDQdbiYRT4AOFpuZ4srchyaCMNB1+JHesQn52kvOdzLWrl3Leeed1/b9XXfdBcCXv/xlHn30UWprazlw4EBbezKZ5O6776ampgar1crEiRN55ZVXuOyyyzqlPwKkkyl8++tZ/9RSgrUtIEHFpOFM/dQ5OFoj6FaXreBUeoPJkBVpb49iNOAocWdvLHaRTqWp3VvHkw/+i10bM6V5h44bwue+82mqRlS25QnJqWrjOS4XQ4mbqD/C5iUfsen1D0nFkpjtFiZeNB2bx8HBjXsZPncc7/5jKc2HmpBkiRFnjub8my+mYkQlgQY/7/z1NXau2oqu6XgqvJz31UsYNL4aU4FcJYJwqmwuW97ZIO1xFDlxFGV+75vrWnjq58+xbtl6NFWjtKqET33zKlI1TRx8fwsTrj6LeFpj1TMriPgjGEwGJl84neHTRvHyA88wZt4Epl06k+WPvkHdjkz56Yoxgzj3povY+tYGdr73Ce4KLzM/cw471mxny7KN2Nx25t54LqPnjMPm6ttP04Te4cgzGjWRWcKoRiPg9hxdSiMIgtBJ4vE4gZoWlj/yBrU7DgGZZd7n3nwRnspiLAWWWfcFmqpxeG8t/3jgn+z+ZC8AIycN53P/7zNUDa/Iu+xWEAaqDs8QOVY0GsVmO7k37r2JiKYX5jtQz9u/+GfOm0+L28753/0MtqLCCSA7S/2Ben52ywM5OT2MJiP3/vVuqkZUFTgyWzKWYPU/lrJt6cc5bVOunE35+CE88+PH0Y9bm+4odvLZ+25i8U+fxF+bm2j1+h99gSFnDD+JVyR0lBibp8bf6OfX3/od9Qcbctq++ZObSR1qRLNaWPGP3DLlw6aOYMgZwxg1cyxP37uIVDw7q77RYuSGn36F53/4d7RkGiQ4/46rWLroDUJNmapPC75yEVMundE2U0zof7prbKYjEZo/+hAdkGQDWiqBbXA18drDlM0/N7v6jCAI4r55GloONfHUPY+QOq5CocFs5Mb7b6a4unDS/96u4VAj//2Vn+dUkzFbTfxg0b9T1k5BA0EYaE4pqarH42HevHn8x3/8B0uWLCESKVxdROg7ktE4m55fmfdJXDwQoXHnoS7vQyqZ4v3XPsib4DSVTPHmP5dmlgh0QCwQZfuyjXnbdGD1v97LCYYAhJtDHNqyv+DSsGWL3iQaEL/zQu9xeG9t3mAIwIuPvsbgORNY8/z7edv3bdjDsKmj+OSt9TnBEOD/s3ffcZLcZ4H/P5U6d09OG2ZzzrtKqywLr7BkHHACHIA7dAhzHLYObPwj2sdhDoPtI9jGHGAbY5yDLEtCssKuLK3SJm3OYXZ2curcFX9/1EzP9M70Js1OfN6v176krqqurp6ZSk893+fBylvsf3IXm9+x1Z/gwf6fvMq6n9tUXGbnt7aT6U2Peq8QV2uoVojnOOhR/8GLN9imHakjIoQYJ4Vsgdef3DUqGAJgFyz2PfEquXRuErbsjbMtm+0//NmYrXULOZPnfvA8tjV2IwQhZqNrCohs376dt73tbezevZv3vOc9VFVVccstt/AHf/AHPP744+O9jWKC2AWLnlNtZedf2H+Ka0gouiqZgSxH95TvGnTi9VNkk1cYEElmym5v1ZwaLhwt36ru9J6T1DSPHT3vPtsxONZUiKnhyK5jZee1nmrDUxUKmULZZaxcgQuHz5Wdf+HoeapHPE3qOtVGzdza4utCtkAhO3aXJiGuyohjthbyi1l7rjP4XwmICCHGRy6Zoe0S14FtR85TmKYBkXwmf8nrgiO7jpGXc7YQRdcUENm6dSt/8Ad/wBNPPEFfXx87duxg5cqV/M3f/A1vfetbx3sbxQRRVJVQvPxQqGhNxXVPVw6EDCqqy6d8xqvixS4Zl2MEA2XnFbKFS1YQj9cmKJRpwxuMBFHGaGUmxGSpbqguOy8cDfn77SV2XT2gX3J/iCSiJU/RQvEw5sinagroASmsKt64kUFsNRgERcVzhgIiUkdECDE+9IBB+BK1r8IV0WnbPU0PGCQuMcQ9UZOYtt9NiOvhmu/qjhw5wpe+9CU+8IEP8M53vpNHH32UX/iFX+Czn/3seG6fmEChRITlb95Sdv6CW1Zd922IxCO86d13lZ3/5vfdQ2Vd5RWtK5yIkGgYe9nuU21svv+msd+owJq71tNa5on5pgdumvbt2MTMsvqmlWhlgnR3vHUrmdZuFm5YMub8cDxMZiDDhrfcWHb9G++/kb0/frn4evld6zm0Y3/x9cKNS8oWWhbiqozIAlF1HVXXigERJENECDFOYtVxNj5Q5joQ/7wXu7h4/zQRigS57/0/V3b+z//KvYQi07dgrBDj7ZoCIo2Njdx22208/fTT3H777Tz55JN0d3fz/e9/n9/93d8d720UE0RRFOZuXMK8LctKp6sKN3zozUSqrn9BVYCGeXW89dd+ftT0e955BwtWzL/i9USqYmx7+F2EK0qDF9GaOMtuX0tVfSVLblxeMk9RFR743XcQr03w1v/5LlS9dBdZsGEx67dtkeKRYkqpqqvktz794KgnPss3LWPTzas5+KMXufUXb6V6Xm3J/GA0yFt+5+288O/Pggebf+GWUeve9Nab0TSNvpYuAOasXUj1gjpa9p/xP3tuDff+t/undTV+MXUMZYgomgYoKNpwQMSTGiJCiHFU1VTN5rdtHTV94wM3TeuCqgDzlszl/g9tGzX9LR/cxryl8yZhi4SYuq6py8zGjRs5fPgwGzdu5O677+buu+/mjjvuIBaLXY9tHHdSkfvSCukcuf403ScvoAcD1C5pIpSIogfHTol3HZf8QAYUiFTFKWRymJkCWtAgUhEl25fCtmyCsQjByJW1qx3o7ieTzHF0z3Fcx2HF5uXEKqIEgwFUXSUYCWHmTBzTwggF0IMG+XQOXI9ALFRSEDXdk6T3fDcDbT1Uza0lVldBb0s3uf40TaubsQoWrUdaCEaCzFk5n1hVHCNoYJs2mb4UbcdbySWzzFk5n3hNgkiFZIdcL7JvljLzJoV0DiOoE4qP/XdXSOfwPA81oDPQk+TMobOkBtIsWbOIeFUML29i50wC8QiqoWFmTfLJLHo4QLgiQiAUwMzkUVUVLWiQS2b97CjXY+6aBQRCBp3H28hncjQun0sgEqKrpYuB9j7qFzVQ2VhdbP0rZq6J2jcLvT30H9wPikZ0wUJy7RfwPBevUKB68w0Y0elxnSHERJHz5hsz0NmPHtSxs6Y//DMcxM6bVDRUTfamvWHZdI5kb5Lje0/gebB801IS1QkisfBkb5oQU8o1DSDbu3cv/f397Nixg+3bt/PHf/zHHDx4kPXr13PPPffwl3/5l+O9nWICBWNhgrEwlVfQkivV2c/ZV45wfvdx6pbNZcHNqzjy9B56znSw9dfvo+dUG0d+upt8Mkv9srmsuHcT0doKjDLBlSGGppE930XCdIjUxAlpGkf+8zUuHDhLKB5hzX1bsEyb3T96kdqFjax982ZO7jxE+5EWFt+yiiVbVxGrraCQLZDuS3P4+f2Y2QIdZ9rZcN+NzF+/sKTGSMPiplHboAd0KhqqZsRJUUwvVsEk1TnA6z95hc5TbUQrY6x/4Caqm+uIDmZqZftSXNh/mlM79uN5Hgu3rmL+5uXc+HP+sDczW6C/tZv9j71CurOfRbesYt6GxRx/ejc9ZzqI1sRZfd+N9Kdz7P7+CwTCAVbeu4nahQ2kzrTj2i6hoM78TUtZetvqku1L1FdO9I9EzBLFwqmDWXiKpuEOFbGWITNCiHGm4HHupSOcfukwAAtuWknzlqWTvFXjIxILE4mFaWxumOxNEWJKu6YMkZF6e3t57rnn+NGPfsQ3vvENXNfFGRrvO0VJNH18pDr7ee5z3yXbmyLRVMOqt9zE8//0GJ7jcsdvvZWuY+c5flHbWy2g8+bffy81ixrLrjfbl+ZnX/gRfec6CcbD3PDBN/PM3z8yqrPL0tvXEIxH2PfoKyiqwj0PPcD+x16hr6WLaHWc+//wl2k93MJ//t2PSj9Agbf+/ntYtHkZqhRHnVJk3/S1H23h0b/4Fq5deizd9PZbWPvzN+A5XnEfGSlWX8ndH303wViIky8c5OWv/RSARGM1m37xNl74f4/jOaU3lWseuIn+9n5O7TwEQPPmpazZdgPPfPa7/nubqnnTR99FVLJAZrWJ2jfzXZ0MHDmEEgwTaZpDobcbO5kEPKrWbyRQUXndPluI6UjOm9cu1dnH9r9/hIELPSXTE03V3PXf305CHogJMStc093gD37wA373d3+XDRs2UF9fz2/91m+RyWT43Oc+x+uvv375FYhpz7EsTj3/OtneFABL79nA7u89j+e4qAGdRH3lqGAIgGPa7PrWc6R7kmXX3Xm0pXijt+i2tex79OUx29ye+NlBmlbOR9VUPNfjlW/vYNXPbQYg05viyDP7OPna0dEf4MFPv/gomb70tXx1Ia6rdE+S5//1yVHBEIA9j7yEmTPpPNYyKhgCkO7sp2XXUfIDWV79xrPF6St/bhP7fvDCqGAIwKHHX2XprcMFk8/tPoGHR6TKH5qQbOvlwuunxuOrCXFZpTVEBjNEBjNDpO2uEGI8te4/PSoYAv55r3XvyUnYIiHEZLimgMhv/uZv0trayoMPPsjevXvp6Ojgu9/9Lv/9v/931qxZM97bKKagXH+Wll3Hi6+DsTDprgEA5q5bSMeR8r3du05cwB7ZsnMEK1/g1AsHiq+rmuvpOHq+/LpOXqBqsPBVujtJcERhx5MvHmTuyuYx35dP5cgls2XXK8RkKWTy9LV0jz3Tg0xvklM/OzD2fKDl1WMkO/tLAirhiiipzv6xV+l6ZHtTJS23z7x6lEVbh4/lJ352gEI6d3VfRIhrMRj0UEcERPAkICKEGF+prn7OvjzGQ7NBZ145QqqzbwK3SAgxWa6phkhn5+gnk2P5y7/8Sx566CEqKyuv5WPEVKYAinLRhEHuxfPGen+Z+Z6Ccrn3XryekaO+RrxVUS+3DVf+MUJMlMv9WSpcZh9RlFG71+X2KX9fGd6P/OUvfi07jLj+PNfF8zwU3b88UdQRHb0kICKEGDfKpU9rioJ3NdejQohp67oWUPiLv/gLent7r+dHiEkSrorRfOOK4uv8QIb44FjL1v2naFxZvj1u/Yp5GKHAmPOMcIAld64vvu49007T6rGzPADqlsyhd7AdaLy+kvyIrI+lt6/l/MGzY74vUhklnIiMOU+IyRSIhqhZOHYBNEVRiFTHWXLX+jHnAyy4eSWxukq0ES14M71JEk3VYy6vaiqhihj51HAGyKKbVnJyRBbKsrvWE4xJW11x/Q212FUG6zspIzqGee7Urk8mhJg+4nUVLLp1ddn5i29dTaKucuI2SAgxaa5rQOQN1msVU5imaSy+bQ2xwW4TJ57by5Z334Gqa7i2S9/5blbdd8Oo9xnhAFved/clCzTWLZ1D7ZI5AJx+4SDrH7iZwBjtelfeu5Hzr5/Gcz1UXePmX7qLQ0/tAvzgyIq71rPyznWjngAoqsK2334bsSopEimmnlhNgjt+fduYba5vfO8dBCMh6pYM7yMjVcytYd6mpUQqo9zya9uK04/8dA8b3nkbqq6Nes/at23l+PP7i68Xb12FY9nF4GL1ggaa1iwch28mxOW5tg1cNGRm0Fg1cIQQ4lo1rWymesHoBxBV8+uYI+c9IWaNN9xl5lLi8Tj79u1j8eLF1+sjrolU5B4/6c5+2g6epu98N/H6ShpWNnP8+f10n2rnxl++G8d0OPr0bvKpHPXL57Lk9nXEaivQjNE3ZiPl+tN0nWyl4/A5Qokoczcu5fSrR7mw/wyhRITV27aQS2bZ//hr1C9pYsXd6znxwkG6Tl5g6W1raN64hGhNAitvMtDRx+5HX6b3fDd1CxrY+MBNJOorL9v6V0w82Td9tmWT6uzn8NN76Th+gWh1jHU/fwMVTdVEKv1ip7n+NF0nWjnx3D4812PR7WtpXLWgWAzVyhdIdvRz8InXSHX0sfCmFcxdt4jjz+2j50wHkeo4K9+8hWx/mv2PvowRCbLq3k1UNFVz5Jnd4HjUr5hP44r5xXWK2Wui9s3kiWNkL7QSnjMPLRjCcxzSZ06i6jqxhYuJziuffSjEbCTnzTcm2dlH59HznHrxEHgei7aupmHVfBL10mFGiNlCAiJy8nhDcsksmd4kLXtPoRk68zcuIZQI45g2ekDHLtgUMjlcx8UIBVAUuPD6SVzbY866RYQqIoQrRt9s5dM5Mn1pTu067t/sbV5KvDaBooCq6xhBA9u0/M8JBtAMDTNXwHO9ksKqQ2zTxjYt9KCBblxT6RwxAWTfLGVZFmY6jx40CEbGHrJi5grgeXge5JMZ2g+dpZDKUb9iPtHaBIVUlkIqTygRJhANk8vkSfckCYQDxOsriSZi5JJpNF1DC+lke9K0vn4a8Ji7fjGRqviY+5SYXSZq3xw4cphcZzuRec2oRgDwSJ08jmoYROc3E2teeN0+W4jpSM6bb0y6ux8UBSvvdzM0Qgae6xGX4TJCzBpyZyiuWXYgw4tf+ymnXjpSnPbSN57lhvfcwao3baT7dDvP/e0PcUekOVfOq+WG997JC196lAOPvMjSuzew6r4biYwYQpNLZXnthzt59YcvFqf97N+fYe2bNnL7B95EMOpndugBAz0wnOURCI8eVjNED+joAflzF9OLYRgYVZfOZAqEgxQyeS7sP8WrX3myOFTx8OOvUL2ggRt/dRs7Pv89XNslXBljwy/dw3/+w4/JJbPoQYN3/8n7aVw2FzObZ9/3d3Lkp7uL6979nedZ8aaNbHjHrSVdaIS4XlzHHzIzXExVQVE1FEWRLjNCiHGV6urn4OOvcuzZfSXTl96xjnW/cLMERYSYJa5rDRExs7XuP10SDBny2neep5DK8tzf/agkGALQf76bky8eovmG5QCceG4fAxdKW4z2nOsqCYYMOfDMXi5cogWvELNVfiBTEgwZ0nu2g5PP72fVW24G/GE2Rx9/hc0P3ASAXbD4wV98k0x/mt6znSXBkCFHn9lLz9mO6/8lhGB0UVUYUVjVkaKqQojx09/aMyoYAnDi+f30nbuyjppCiOnvugZE7rjjDsLh8PX8CDFJcskM+x59Zcx58fpK2o+ex7XHvng9++oxmtYtKr4+/uxezEweAKtgsevRl8p+7ms/fJF8Old2vhCz0YX9p8oWsT7z4kEaVi8ovu4720Hj4qbi60ImTz6V4+ATr5Zd/6EnXvWH5ghxnfkBkYvaPA8GRFwJiAghxkm2LzXmQ4AhR57eQ6Y3NYFbJISYLFc8hiCZTF7xSofGMD722GNXv0ViWnAdt2xgIhAOkBvIXPK9I2/dCuk8juWnSTu2Q3YgO/YbgVwqh1Mm0CLEbHWp/c0uWKM6LXkX3Vg6pk0hVT7QmE/mygY4hRhPnuuijOoMpoLryJAZIcS4sS2HQjpfdn4+lcMZ7HolhJjZrjhDpLKykqqqqkv+G1pGzHyBSIi5axaMOS/Z2U/D8nll3xuvr6SQHL75alg5n0DUzyQKhAIs3rKs7HsXbFgsBR6FuEjjqrH3RYCq+fWYIy769FAAxy3NJgknIsxdv+jitxbNXbcIY4zW10KMO9fl4gieoql4gCc3J0KIcRJOhGha3Vx2fuOqZoJRqZ0lxGxwxRkizz777PXcDjHNGEGDjW/fyqmXjxazO4boAYN4fQV1y+bSdbx11HvXvfVmTjyzB4BAJMjCW1cX2/CqmsrKO9ay65GXRmWgGCGDTQ/cJF1ihLhIorGaijk1DFzoKZ2hwLpfvI3Djw8Pb1ty9wZef3pv8fWyW1YSiAZZesc6jjy9F+uioTFGOMCyu9ajaZdulS3EePBcZ1RGE6oGnjkqs0kIIa6VEQqx9I51HHvu9dHnvVCAFXdvIBiVBwFCzAbXte3uVCUtysaHYzv0t3bz4teepu1IC4qqsPCGZdz0vrupaKwi25fi4BOvcfy517FNi0RjNRvesZWuo+c5/eIBGtcsZMMv3kGiqRpVHU5W8jyPvrZednz1KU7vPoHnejSvX8Tdv76N6rm1qJrUAp6pZN+8dumufg4+9gotrx7BsRwq5tay4V13kO7qZ9+3txOuirHyLTeRHMjy7L88STASZNNbb2LDthuIVsXwXI+B9l5e++ZzXDhwGoA5axdxwy/dTUVjNYp68V2qmE0mat/s3PkCnusQbR7OWMp3deJkM+iRMDWbb7xuny3EdCTnzWtnWRap9j52f3sHFw6eAaBp1QK2vO8u4g1VGMFLd3kTQswMbyggks1mOXfuHKZplkxfv379G96w60lOHqOZ6Sx2No/ruhjhEEYsjHoFT4RdxyXbl8IqWCiKghEMoCiQT/ktPQOxMHbBwnNc9KCBoip+AVVFIRAOEEpEy667kC0Us0SCkSChmBTonelk3yzPsR0KyQyFdB5VUwkmIni2jZ3Ngwd6JIQWCpBP5fBcFz1gEK6MkU9mcG0HzdAJVUTJ9KWxTRtN14hURUdlfpjZQrHIcSAaJBCRIWpi4vbNjheeByDavLA4rdDbjZ0cQA2GqLvpluv22UJMR3LefGP8c2saJ2+C56GFggQrYmi6ZEUKMVtc09iDrq4ufv3Xf53HH398zPmOpLVOG57nke3s5fgPn6PQ5xfOVQM6zXffSM2qRejh8umCVr5Ax8Gz7Pv2s1hZP90wXBVj7Tvu4MSO1+k6dp7aZfO48UNvJlZfWXxfKH5lYzKDkSBBqVsgBGY2T+ueExz84c+w8yb1qxew7M61tDz7KtZg0FAPB1mwbSuJBU0lQYxIVbxkXbHq0tcXC0SCBGS/E5PFc1HU0hsRRdVwXQ9FaogIIcaRmcmRvtDFmSdexMoMnksjIRbet5XY3AaC8iBOiFnhmsYefOQjH6Gvr4+XXnqJcDjME088wVe/+lWWLVvGI488Mt7bKK6jwkCaw//+eDEYAuCaNmee3Emq9dI92FNtvbz2lSeKwRCAXF+aXf/2JCu3bQFFofv4eXZ++VHyyfKdY4QQl9Z3pp1933wGO2+iaCrL793E6Z88XwyGANi5Aid/9FzJvizEtON5XNxmRlFVwMNz7LLtpYUQ4mqZqQzHv/9MMRgCYGfznPjhc1ip8t3bhBAzyzUFRJ555hk+97nPceONN6KqKgsWLOADH/gAf/VXf8WnP/3p8d5GcR0NnG7FMa0x57Vs31VykhjJyhU49JOXxpzn2g7tB8/QsHI+AP0tXeQG0uOzwULMMoVUlkM/3ll83bR2EQPHz+K5Y98YXnhpP1aufCtBIaYyz/NAvTggovmBEqTTjBBifJi5Au2vHioeW0p4Hm0v78fMyrlUiNngmgIimUyG+vp6AKqrq+nq6gJg3bp17N69e/y2Tlx36UtkgeR7+nEdd8x5tmmRbustv96OPiI1w2NZsz3y1FqIa+HaDqn24X0tWltBvrf8/pTv7sfOjx3kFGIq81z/fKMopZcmyohC2q5VWrNMCCGuhZMvkOvuLzs/1zOAnS+UnS+EmDmuKSCyYsUKjh49CsDGjRv5x3/8R1pbW/nSl75EU1PTuG6guL4iDTVl5wUr42U7umiGTrSuovx6ayvIDwynG4YrL123QAgxNlXXiNYO72vZvhSBiljZ5QOVcbSAtKYW0487mP2hqBedd0a8dk0JiAgh3jg9GCB0iWvTUGUcLRiYwC0SQkyWa64h0tbWBsCf/umf8sQTT9Dc3Mzf/u3f8hd/8RfjuoHi+qpaOh+lTCXtubdvwoiOXVAqEAmx8v6bx5ynqApN6xbTfvAsALH6SsJV5W/ghBDlBeMRVt4/3Fmjbf8pqlYsLLv8nFvWESiz3woxlRWHw4xZQ8TnSEBECDEOjEiIxhvXlJ3feNNagnIuFWJWuKaAyPvf/35+7dd+DYBNmzZx5swZXn31VVpaWnjf+943ntsnrrNAIsaqX7oPfURXCkVVmXv7RioWzrnkeyvm1bH+PXehGsMBFSMcZOMv38vJHa/juS6JOTXc/uG3E64o315XCHFptcvmsvKBW1A0FddyOP3iIRZs24oWNIrLqIbOgm23EK4pn7klxFQ2lCHCRRkixYCIquLkx65rJYQQVytQEWXR/bejjsiqVA2dhT9/KwG5bhVi1lC8ayjZ/qlPfYrf+73fIxIpbZ+ay+X4zGc+w5/8yZ9c0Xp27NjBZz7zGXbt2kVbWxs/+MEPeMc73nHJ92zfvp2HH36YgwcPMmfOHD72sY/x0EMPXdX2z9ae7XaugG1aKIqCEQ1TSKbxXA9F11AVBSuTw7UdAvEIRiSEFjAuu07HssmncsWndnowgOs45PrSBCIhQhURPMfF80AL6KiaRiGTRwECsTD6iJOQ53nkBzJ4rocW0KXd2Sw0k/dNx7ax0n6BNj0cRA+O3r9yAxk8x0XVVUKJKFY2j2PZKKqCFgxQSGb91/itAbFtzEwOPI9ALIIeDeMUTPBACxgYkSC5gTSu46HpGqHElbW8FuJiE7FvFnp76TuwD6OikmB17fAMzyV16gRaKEywqoqKFauuy+cLMR3N5PPmRDDzJk42h5XJg+dhRMNo0RCBkLSfF2K2uKaB5p/85Cd56KGHRgVEstksn/zkJ684IJLJZNiwYQO//uu/zrve9a7LLn/69Gnuv/9+HnzwQb7+9a/zwgsv8OEPf5i6urorev9s5dgOua5+Tj75Ev2nL7DuQ/djnjjPuR17yPUlidRU0nz3ZioWNBK6RG2Ci3muR643xZHHXqL9wGlUTWP+TStZ8qZN1C2bRyGZ4cKrRzn7/D7MTJ6K5noWvWkLx58/QMvekyy8aQVrH7iFWF0F+WSGc68d48h/vkpuIENVcwMb33UHVc31GGE5KYnpLdeX4sxze7iw6yiu41K/ZhFL77uJSE0FiqpQSGdpO3iWgz/eSbp7gFX33cjctQs4+/RrpNq6CMQizLttPcHKBK/+y2Oous78m1ax+K71VDQ3Avj70PP7OPfCAaxcgarFc1jy5hs48tw+Tu88TOWcWja++w5qFzcRjIYus8VCTLyyNUQUFRQVVdOwM9IKUwgxfqxUhnPb99B9+AweULtyAQvu3iwBESFmkWvKEFFVlY6ODurq6kqmP/PMM7zvfe8rdp25qg1RlMtmiHz84x/nkUce4fDhw8VpDz30EPv27WPnzp1l33ex2RZNT7V1s+fLP8RzXBa/ZSt2Js+5HXtGLbfw525kzs1rMK6wiFS6q5/n//pb2IXSjhbh6jhbP/wOjj7yM7qPnCt9kwJr3ncvu773M1Id/YQqomz7+Ps4+OhOzr58ZNRn3P7htzF3w5Ir/7JiWpuJ+2auP82rX/wh+b5UyXQ9FOCW//FuAvEwh594jUOPvQxA5fw61v78Fk488vyoddWsWohekeD4k68BEGus5qYHH0APGOz7tyfpP9NWsryiKqx7/zZe/OpPyfX7ra9v+bVtLNq6umzBZCHGMhH7ZrbtAsnjRwnW1GEkSod+pc+cQo9GcbJZ6m+7A+WiOiNCzFYz8bw5UbLd/ez9lx9jpUuH4hmREBt/421EaisnZ8OEEBPqqq6Iq6qqqK6uRlEUli9fTnV1dfFfRUUFb37zm3nve997vbaVnTt3sm3btpJp9913H6+99hqWJW0mx2LlCpx84iW8wfa5VYvm0PLCvjGXPbd9D1Yqe0XrdSybU8/uGRUMAcj1pug+fr6ky0yRB2ee3c2KezYCkB/IcG7XcTK9qdHLAru/+SzZwRs5IaajnqPnRgVDAOy8ydnn95EbyHL4iVeL05ffs4GW7aMDlgA9h89Qs6ip+AQ93d7LwPku8v3pUcEQ8LO4zm7fy7K71hWn7f7ODnIDsk+Jqcex/CGdFxdVBT9rRFFV8FypIyKEeMNs06Rj34lRwRAAK5unffdRzLwUcRZiNriqITOf//zn8TyP//Jf/guf/OQnqagYfoITCARYuHAhW7duHfeNHNLe3k5DQ0PJtIaGBmzbpru7u2zL30KhQKEw3Es8mUxet22capyCxcDpC/4LFaxMvhgcuZhr2f4YytoxZ5ewsgU6Dp4pO79t30kq5teTbusZNS/T0ceC6uFWZy27j9O4Yh7dx1tHLZvtTWHlClApXWpmopm+bzqmRfvrJ8vO7z56jpo1i/Hc4X0yFAtTuETAItvVR7gqRrbH/1m17TvJnHWLyi4/cK6DubcOB0TMTJ5COk+0Wp4kivImY9/0Bh9sjBoyc9E0J5dDD0s9HDE7zfTz5kQxUzl6j58rO7/3eAuNW1YSCEnrXSFmuqsKiPzqr/4qAIsWLeK2225D16+pBMkbcnGa7NCIn0ulz37605/mk5/85HXdrilLUVADOq5pgwtqmRa7xcX1K0saUlQFPRSAsbJA8IcDOJZd9r0jf19GuPyyAKp26W0W09dM3zcVVcW4xMWUZhhoxkXH0csMBdCCRsn+EoiELrlfq7qG65YGQbXLHAeEmIx90x3K9BxrH1BVP3CoKJIhIma1mX7enCiKpqFfYoi4HgqgaDI0T4jZ4JoGkd91112cPXuWP/qjP+KXf/mX6ezsBOCJJ57g4MGD47qBIzU2NtLe3l4yrbOzE13XqampKfu+T3ziEwwMDBT/tbS0XLdtnGqMaIimLcMV+RVNJRAf+8laqCqOEb6yYovBeITFd24oO3/hbWvpOTb2z7l21QJaR2SXrLh3M+1lsk3qV84nGJMCkDPVTN83VV2j+bZ1Zec337GOcGWU4Ih9sutkGxWLxm55regagViEQnJ4aNu8G1cQayx//GtYv4Rzu08UX1fOq5UOTuKyJmPf9Iba7pYZMuO5Lqph4Ix4Oi7EbDPTz5sTJVwZo+nG1WXnN92winClZFIKMRtcU0Bk+/btrFu3jpdffpnvf//7pNN+evfrr7/On/7pn47rBo60detWnnrqqZJpTz75JDfccAOGUb5FbDAYJJFIlPybLTRdY96t64g0VAFw5rldrHr3m1AveiqtBQ1WvftNhK8ijb5h7SJql88bNX3hneuJNVSx8m23w0XXteGqOHNuWs3pnX5h3IVbV1G9sIGN77kbRS1dOFQR5YZfuZdARAIiM9Vs2Dej9VXMv3XNqOnVy+ZRt3IB4YoYtz/0C8VMkZM7Xmfu1vWjA5eqwtL7b+Xk9uEaQEvfvIVwVZxgIsKqd9456jMidZXUrVtCy2BAJBANcduD90v7XXFZk7FvFrvMjBUQ0VQ8x0HVDVwJiIhZbDacNydKrKmG2tWjh5zWrFxAfF79JGyREGIyXFOXma1bt/Ke97yHhx9+mHg8zr59+1i8eDGvvvoq73jHO2htHV0LYizpdJoTJ/wL9U2bNvHZz36We+65h+rqapqbm/nEJz5Ba2srX/va1wC/7e7atWv5zd/8TR588EF27tzJQw89xH/8x39cVdvd2ViRu5DMkG7vpfvwaaoWzyXaWE3v8RYy7b3EmmqpXjaPUGUC9QqHzAzJJzNkugZo3XUMLagzd/NyItVxAtEwtmlR6E/Tvv8U+b4UNcvnE62v4uSLh7ALFgtvWUWsNkEoHsGxbLK9Kc7vOUG6q4+GlQuoWdIkdQ5mmZm6b5qZHPm+NG17j+GYNk2blhGprSxmhriOQ7Y3RduBM/S1dNK4qpnaRU2k27roO9lKuKaCmhXNFDJ5zr10GCMcYO6WFYQSUUIVUcAv0pofyNC+7wSFZIb6NQuJ1FZy4dBZek63U798HvXL5xGtSUiHDnHVJmLf7H7tVZxchlDTPLRgECefw0r2E6iuxRrox85mMaJRUBWq1228LtsgxHQzU8+bEyXbM4CZytK5/wSeB/XrlhBIRInWVFz+zUKIGeGaAiKxWIz9+/ezaNGikoDImTNnWLlyJfl8/orW89xzz3HPPfeMmv6rv/qrfOUrX+HXfu3XOHPmDM8991xx3vbt2/noRz/KwYMHmTNnDh//+Md56KGHrmr75eQhxNQk+6YQU9NE7JudL7+IZ5qE58xHDQTId7bhmgX0WAI8MAf6CVVX4+Tz1Gy58bpsgxDTjZw3hRDijbmmqqiVlZW0tbWxaFFpmtmePXuYO3fuFa/n7rvv5lLxmK985Sujpt11113s3r37ij9DCCGEEFOfZzv+/6gKnufhmv7QGKeQQwtF8RwHNB3XHt3uXQghhBDiWlxTDZFf+ZVf4eMf/zjt7e0oioLrurzwwgv83u/9Hh/60IfGexuFEEIIMcMNtZ9WFLVYYFUNBP12vKoCeCiainuJrmRCCCGEEFfjmgIi//t//2+am5uZO3cu6XSa1atXc8cdd3DrrbfyR3/0R+O9jUIIIYSYwTzPw3MHM0QUBW8wC0QNhoYWGFxSAc8dXlYIIYQQ4g24piEzhmHw7//+7/yv//W/eO2111AUhU2bNrF06dLx3j4hhBBCzHSuC8WYh4LrDGaIGAF/2mBAZKgesGvbaAFtgjdSCCGEEDPNNQVEAP75n/+Zz33ucxw/fhyAZcuW8ZGPfITf+I3fGLeNE0IIIcTMN9RyF0VBURS/XoiqoaiqHwUZHE4zxLNtCAQnYUuFEEIIMZNcU0Dkj//4j/nc5z7H7/zO77B161YAdu7cyUc/+lHOnDnDn//5n4/rRgohhBBi5vJs28/+UPyRvJ5j+8EQQNH04SEyg1kkxQCKEEIIIcQbcE0BkS9+8Yv80z/9E7/8y79cnPa2t72N9evX8zu/8zsSEBFCCCHEFRsKcCiqPybGc5wRARHNzxgBXNcrzp8tsv1pQokIqnpNZd+EEEIIcQnXdHZ1HIcbbrhh1PQtW7Zgy1MbIYQQQlyFoa4yqEMZIk7x/xVV8+crKnhu6fIz3Nk9J/jKb/0dP/3bRyZ7U4QQQogZ6ZoCIh/4wAf44he/OGr6l7/8Zd7//ve/4Y0SQgghxOzhF1FVUFW/UKrnXpQh4jqoqlocOjNbMkT2PvoKeHDipcMkO/sne3OEEEKIGecNFVV98sknueWWWwB46aWXaGlp4UMf+hAPP/xwcbnPfvazb3wrhRBCCDFjjcwQ8TwPXBdFGcoQGXx2ow0GRFS12IVmJrMKFm1HWlh1zwaObH+dc3tPsXbb5sneLCGEEGJGuaaAyIEDB9i82T8pnzx5EoC6ujrq6uo4cOBAcTllqD+eEEIIIUQZrm37HWY0rdhilxEZIgCKouLZfubIbMgQ6T7djuu41C9pov14K21HWyQgIoQQQoyzawqIPPvss+O9HUIIIYSYpYa6zCgjhsUUH6oMDqNBVXBt268pMhsCImc6UDWVRH0llY1VdJ5qn+xNEkIIIWYcKVkuhBBCiEk13GVGw3P9wqnFDBFF8f9fUfzAiTY7MkR6zncTr61A1VQqGqsYaO/FNq3J3iwhhBBiRpGAiBBCCCEmlWMN3uhrGgwGRIZqiIAfKFEYzCSZJUNm+lq7idbEAYjXVYIHfa09k7tRQgghxAwjAREhhBBCTCrPNIHhjjL+i+E6ZIqm4XneYK2R2REQGWjrI1Y9GBCpTQASEBFCCCHGmwREhBBCCDGpXGtkQGRwyMzIgIiqgecCHigK7gwPiNimRbY/TXQwIGKEAgRjIQbaeyd5y4QQQoiZRQIiQgghhJhU3mAbXXVoyIyilnSqG9l9RlGY8Rkiya4BACKV0eK0WHWc/jYJiAghhBDjSQIiQgghhJhUxQDHYFFVRVVK5itDnWYUwAPcmR0QSXUOBURixWmRqjgD7X2TtUlCCCHEjCQBESGEEEJMKs91QfWzQrzBDJGRFG0oIKLg4c34DJFU9wCKqhCKh4vTolUxkp39k7dRQgghxAwkAREhhBBCTBrPdcHzhrNAPLekfggw3IIXFVwPz3EneCsnVro7SSgeQVWHL9OilTHyqRxmrjCJWyaEEELMLBIQEUIIIcSkcW0LFKWYBeK5bkn9EABlcL6iq3iuO9yJZoZK96YIJyIl04bqiSQHh9MIIYQQ4o2TgIgQQgghJo1n+QVVRwZEUEdfniiaVhxS4zkO3mCR1Zko3ZMkPGK4DAzXE0l1SUBECCGEGC8SEBFCCCHEpHEsCwDFMPwJY2SIAKBqgIJn+wEUZnRAJEW4IloyLRgLoeqa1BERQgghxpEERGYx17ZxCgXcoYtLIYS4DjzPwykUcAqFGf1UX1wbp5BHURRUXQfA80YXVQVQNB3wcAdb9M7Uwqqe55HpS5UUVAV/2FCkMkq6WzJExMST47gQYqbSJ3sDxMRzLQs7kyF16hR2JoMeixFfvBg9Gi1ekAohxHiwczmybW3k2tr8G7q5cwk1NKCHQpO9aWKKcPN5AFTD8G+0ymSIFIfUOA6Kpg3WETEmclMnRCGTxzFtQvHIqHmRiihJGTIjJpidz5Nrbyd34QKe5xGZM4dIYyNaOHz5NwshxBQnd7+zjOc45Lu66D94sDjNyecpdHdTuW4d4fp6lDHGbgshxNVy8nl6XnsNZ/CGFyB57BjZ1lZqNm9Gk6CIAJyC3zVF0Y3hYTBjBETUEa13ATzHxbXtYsHVmSLTlwYYlSECEE5EpIaImFBOPk/vrl3Y2WxxWurECf84vmULugRFhBDTnNz5zjKOaTJw5MiY8wYOHy5emAohxBvheR7ZtraSYMgQO5Mh39MzCVslpiLXHAyIaLrfchfGLKrKYFveoeCHOdBH5wvP0/nyTtzBOiQzQaY3BTCqqCpAuCIqARExofLd3SXBkCFOLke+s1OGzwghpj0JiMwyrmmWHXft2faMuqgUQkwe17LItbeXnZ+7cEGONwKgWMdqqIPM0P9fbCgTZChTJHXyJFoohGtZZC+0TtwGX2fZwQyRYGx0QCRSGaWQyWPm5OGFuP78fetC2flZOY4LIWYACYgIIYS4PsbqFDJy3qXmi1nDs4dvqIYCIuX+NhRNR9EHh8d4EFu0mEAiQb6r83pv5oTJ9KUJRIJo+uhhQJHBzjPp7uREb5aYpcbs+DQ0T4ZYCyFmADmSzTJqMDjc2vDieYEAWiAwwVskhJiJtECA6Lx5ZedH58+XIs4CANd2hgMgg+n3yhhdZoDBYqr+MpG581CNAHosgZVKzZiOaZm+FKExskMAIpUxACmsKiaEahhE5s8vOz8yb55cNwohpj0JiMwyWiBA1dq1o5++KQqVa9eiBoOTs2FCiBknVFuLEY+Pmh6oqiJQWTnxGySmJM+xi212ryRDBHdw2OfgInrU78Zip9PXdTsnSqYvPWZBVYBQLISqqdJ6V0yYYGXlmMdro6KCUE3NxG+QEEKMM3k8N8soqkqgqoq6W24hc/48djqNHosRnT8fLRS6ZGqkEEJcDS0UonrjRgr9/WRbW/22u/PmEaioQJPgqxjieiOGwQwHRFyzgGtZgwEPP2AyspvMUPBEC4ZAUbAy6RkRaMv0pcesHwL+OTwsrXfFBNJCIarWr8ccGCB7/jx43vBxXDqFCSFmgCmRIfKFL3yBRYsWEQqF2LJlC88//3zZZZ977jm/sNpF/46U6ZwiRlM1DSMWo2L5cqo3bCC+ZAl4HukzZ+k/cpR8b++YnSGEEOJidi5Htr2d/sNHyLS0YGezw0/58S+mI42NVG/YQNWGDYTr6yUYIkp4eMVaBJ7rgqLg5PPkOzsx+/oodA93JFK0wec46ogCrKqKFgxiZzITvu3XQ/YSQ2bAryOS6pSAiJhAioIWDhOeM4fwnDlokcjYnaCEEGIamvQMkW9961t85CMf4Qtf+AK33XYb//iP/8hb3vIWDh06RHNzc9n3HT16lEQiUXxdV1c3EZs7oyiqiuc4ZFtbGTg8HFBKnz5NoKqSmo0bJfovhCjLSqfpevkVXNMsTlNUldqbbiRQWVmScSb1QsRYPM/z64ZcFBCx+vv8ulbhENZAEjuXQw+H/cCJovqjZUYE3tRgEDs7/QMinueRHcgSipc/94YroiQ7+yduo8Ss5pgmA8eOk21pKZkenjOHypUrJMAthJj2Jj28+9nPfpb/+l//K7/xG7/BqlWr+PznP8/8+fP54he/eMn31dfX09jYWPynaaOrsYvLc/L5kmDIELOvn8z58yVPeoUQYohjmvS+/npJMAT8G9qeXbsly0xckaGWnUOtdIeGzHiOgxaNogWDqIaBnRruqqLoGqiUZiIFQ9jZ3MRt+HWST+VwbYdQPFJ2mUilBETExLEGBkYFQ8BvnW7290/8BgkhxDib1ICIaZrs2rWLbdu2lUzftm0bL7744iXfu2nTJpqamrj33nt59tlnL7lsoVAgmUyW/BO+S/WXT589h3PRzY4Q40n2zenLNU2sgbF/X65lSUBkmpuofdMtFPyhr4NDYTzXA9dFMXQ0w5+mhcK4pok72J63OGzGG5EhEgjiFvLTPoif6UsBXHLITLQqRiGTp5CVfWw2msjzpmvbpM6cKTs/dfpMMagphBDT1aQGRLq7u3Ech4aGhpLpDQ0NtLe3j/mepqYmvvzlL/O9732P73//+6xYsYJ7772XHTt2lP2cT3/601RUVBT/zb9EC7HZxskXys5zLavYAlGI60H2zenrcjeerjUzWqDOVhO1bxYDZ0NDqlwHz3FRjeE0fDUY8OuK5LLAcGFV13GKy2hBv/WnU5jeQYJMr98pJ1ymywxApGqw9W5H/0RskphiJvK86bnuJY/lrmX5w96EEGIam/QhM8Coziae55XtdrJixQoefPBBNm/ezNatW/nCF77AAw88wF//9V+XXf8nPvEJBgYGiv9axkj9m63CjQ1l5wVramTcv7iuZN+cvlTDQLnE8WGoFaqYniZq33QKflBeHewy49oWHp4fBBmkqApqIIAzmBGhDmWTjAiIqIHBgEhumgdE+lKgULbLDPgZIiABkdlqIs+bqmEQrq8vOz9UXyfXiUKIaW9Sj2K1tbVomjYqG6Szs3NU1sil3HLLLXz9618vOz8YDBKUok9jMioq0KPR0dX5FYWKFctRDWNyNkzMCrJvTl9aMEjFiuX0Hzw0al5k/jy0QGCMd4npYqL2TcccDHLoQ0EOF1CKAZIhWiCIlUriuc7w8Bpn+Mm1asyQDJG+NMFoCFUr/7wqEA5ihAIMdPRN4JaJqWIiz5uKohCZ00T6zOihMYquE5s/v9ghSgghpqtJPYoFAgG2bNnCU089VTL9qaee4tZbb73i9ezZs4empqbx3rxZQQ+FqL3xBqLNwye1QFUV9VtvwYhGJ3nrhBBTlaKqhBsbqd60ET3iZ4OogQAVq1ZSsWyZBFPFFRkqyjtcQ8RFUdVRWaJKwP97cvL54Y40IzJEFFVFMYxpX7sm05sifImCquDfpEarYwy0S0BEXH96JELd1lsINTbC4H4Zqq+nfustaOHymUxCCDFdTHqe28MPP8wHP/hBbrjhBrZu3cqXv/xlzp07x0MPPQT4qYGtra187WtfA+Dzn/88CxcuZM2aNZimyde//nW+973v8b3vfW8yv8a045imP/bTtlEMg9jChUTmzMVzXbRgADUYLI7TvpidzeLaNp7roBkBMAz0Mk+DnULB/xzXQTUCqIYh6ZVCzBBaIECksZFAVRU4LqiK387bsijksiiqhmro6OFL3+A5polrmv5xQjdA0/BMC9eyUAzdP2Z4Hq5lomgaim6gv8GW4K5t41r+cdDfTkPaR06C4lNnVQPPAbzhoqkjqJqKous4+QJ6JAqKgueV1rFRZ0hAJHSJ+iFDolVx+tt6J2CLhADFMKhYtpTYgmbw/GO/Yhhlh7cLIcR0Mul3pu973/vo6enhU5/6FG1tbaxdu5bHHnuMBQsWANDW1sa5c+eKy5umye/93u/R2tpKOBxmzZo1/OQnP+H++++frK8w7Tj5PH0HD2L29qLH48QWLqJ33/7i2GtFValYuYzo/HnoI6L/juPgZDL0HzqAkxtsb6goROc3E5kzt2RZADuToe/AfuxsprhsZO48YgsWoAXkxkOImUIfDCTY+TyZlnNkWs4VCzJroTCVa9aix2KoY6RW29ksfQf3Y6fToKpUrlxN6vRZcu2dxWWCNdVUrl5O6uQxvx1rKExi2UqMWOyattcxTdJnz5BtPV/cTj0SpWrtOnTJjJtQQwERRVGws349EUUdOxivGsbwkBhFBde5aH6gWJNkqnJdl+PP7CU/kGblfTeOqhWS7kkSr6u87Hpi1XHOvX76Om2lEMOsXA6zr5/ePa8Pt8k2DKo3rIXqqmKGoBBCTFdTYuDfhz/8Yc6cOUOhUGDXrl3ceeedxXlf+cpXeO6554qvP/axj3HixAlyuRy9vb08//zzEgy5Cq5pFoMhAPHFi+l+dXdJITrPdek/dJRCT+nTJzefp3ffnuFgCIDnkTl3lkKP3zFoiJ3P07N393AwZHDZ7PkWcm1t0741ohBitEJPN5lzZ0u6Uzn5nH/cGOPJvVMo0Ltvrx8MASJNc0idOVcSDPHX20vfgSOEm+YV19l/+AD2YNeRq+G5Ltm2C2TPt5Rsp53N0LN397TPMJhuPHu4DoiTz/ktePWxL03UgAGOg+vYxSfTIztclARMpqh933uefd/bwYkdr7Pj736A65SeC9M9V5YhEqtNkBvIUMhM7e8rpj+3UKD7lV0lNURcy6L7tT2X7FQohBDTxZQIiIiJ41hWMRhiJBIUevtLxmGPNHD0OFZ2+IbDSg6UXLyOlD53FnfEkzk7kymODR9z2TLzhBDTk53LkT57Zsx5nm1j9fePmu7kcjj54QBroLKKXFvHmOsw+/rRQsM3ip5tYQ0GUq6Ga5p+0KbMvJIgrrjuPMcu1iUYCkYpytiXJooeGF5uMIvENYfPO2ogUHIemmqS7b0ce3oPi25by/p33E7vmQ7OvnKkON8qWBQyecKJyz9xj9UkAOhr7b5u2yuEXSiQPFE+E2ngxElsCSILIaY5CYjMMiMj/FoodMkbCiudKXmCaqVT5ddbKKCMfNqaKb9ez7YlQ0SImcZ1L3kzOtbxwx4RDIGhDiOX+AjTKt48A9cUvPBct2xgF7imIIu4dp7j+MNfYPjvp0xdAlVTUAwdt2AWa1yNzAhRDQPPcXAv8fudTEd/uptANMT8TUupmFND9aJGjj+zpzg/3ZMEIFJx+WFb8doEKNB7vue6ba8Qnm0XM/jGYqfSZR+qCSHEdDHpNUTExBpZ0NTJ5zEqqsoua8SiJRemRjRefr3BIN6IZfVo+bH9iq5LmzYhZhpFQQ0GywZFjNjo44ceKh0aoFyi1Sj4N7wjg7R65OrrfSiqX5yzXFDkUscuMf4810M1lOJQGNUIXLJQo6r7w2K0UBDP8/wMo0SlP2+ws5FTKEy54t12weLcK0eYt2lpsaXwnLWLOPDjnbzyH89y8Om9VM6pAbiiDBHN0IlWx+lt6bqu2y1mN0XX0WMxzP6BMefr8VjZAvxCCDFdyF3pLKMFAn5HCMBKJglWV5Y9mVWsWIYxoliWUVmBUuYiM9a8AHVEhwY9GkUt03km2ryg7DwhxPSkhkLEmheMOU/RdYzKylHTtXC4ZBiM2d9PuLFhzHUEqipxCsMZJYquX1NRVTUQIFpmO9VAQIqqTiDPccDzUFQVx8yjMBgIuVRAZLCOiOd54FFS80U1/PPKVBw2c+H1U9gFi8bVw3971QsbUTSVw//5Go3L59F9pgNVVQhXXFmRykRdJT3nOi+/oBDXSA8GSSxdVHZ+xdIlb7jjlxBCTDYJiMwyaiBA5Zo1BKqrAUidPk3tjZvQwsMnNEVVqVi1gmBtTel7gyGqN2xCG3nyG+wyE6ypRRsRWNFDIao3bkYbWX1cUYjMm0ekaY5kiAgxw6iqSrC2juj85pIbWi0UonrDxtLjxtC8YJDqDRuLWRnZtlbii5oJNdSXLBesqaZq7UpybeeL66xctfay7XzHoqgqkaY5RObNK9lOPRKheuNmubifQI5pggKKpvnFGZXLB0SG6ohgW4CfITJUWHVkhshU07L7OPHGKsKVw0E813VxHJdIPMz6B26isqkaVVFwrCsbglDRUEn32Y6SwrJCjDc1EKT2xs3F/QtAMXRqtox9XBdCiOlmauWUistyHbuY6q1oOniuP+5e8Z+OjQw0uI6DN9TSUNeLKcR6OEzV+vW4luXX/VBVGm7filsw8TwPLRBADQXRRpz8ADRNQ0skqNqwCc+28FzX/0xdL7bdHMmIRqnZuNkfz+16KJqKGghMuVRmIaYqxzTBcwEFNXDpoQTjpeS4Yeio2pXvr3ooRHTBQiJNc3AsE0VVUQ0DRdNxCwVcPBTdKDm2+IGITbimiec4qIZBzeb1uAUT17JRdR0lEEDxXCpWrEZRNRRDHzXc5mpogQDxRUuIzpuPa1oomoZqGGhjHMfE9VMsrq1qg8NcLp96X6wjYtn+8CnXxbVMtEDQHw6laVMuQ8SxbNoOnKb5xhUl00/uPIxtu6iKjWPa6CE/2NN+9DzzNyy+7HorGqsopPN+q97aiuuy7UIYkTCKrtF4z51+q2sFUPx9baxrPyGEmG7kznQasfM5Mi1+i1s8j0BVNZGmuaROnsDJ54jMmUu4aS5aMOgve+4s+c4Of9nKKuKLl6CFI3iOg9nbQ+a83+1FDQaJzJmHa1qkTp4gUFFJfMlSlEik5InAEOMKe847+Tzpcy2kz57Fs22MRIKKVSsJJBISFBHiElzbxkqnSJ85hZPLoug6kaa5hOob0a7jcDM7lyV95jSFbr9zRbCmhtiixWih8BUFY1zHwcnlSJ86gZVKEqiuJbZwIekzxzH7e0FRCFZVE52/EH3EcUQLBIrfy87nMXt7SZ85g5PPoQaCRJubCdXVE6ioHLfvqg4Fia89riLeoKGAiKppWJksiq6B4l32b03VDRzTZCj+7+RzaAH/xkw1Ajjm1AqIdB47j2Pa1C6ZU5xWyBY49cpR6hY2kj7fyUBrN/l0Dj1oXHFApLLJz+LsPNkmARFxfVkWmbOnKfT0AB7B6hqiCxdhqSrGGNeJQggxnci4hWnCyefpP7CPQndXsaig2dfLwNFDxBYtxnNdMi3nGDhyCDuXo+/1feQ72oeX7e+jZ+9unHyObPsFUqeOFy9G3UKB9OmTeJ5LqK4ec6Cfnj27sHO5sttz2e0tFOjZ9zqpkyeLGS1WMkn3y69gjtF+Uwjh8zwPc6CfgcMHcHJ+22vPtsm0nCV1+kRJp6jxZOdz9O7d7R9j8ACPQk83vXt3l3TyuOQ6Mhn69u3GSiUBhdjCRfQffN0PhvhfjkJvD30HXx/z+OLaFrn2dgaOHC6243XNAqkTx8mcPetnzIgZwx76u9I0/3erqZccLjNEDRj+k2oGh9uM+FtSDWPKDZlp23+aUCJCdLBVLsDJnYfA85i3fhFGOMhAaxeZvjThyijdp9s5+sJB2k9cuORwmFA8TLgiQseJCxPxNcQsZWez9O7f6z+Mw/97LPT20Pf6XpTrdD4SQoiJJAGRacDzPPK93WPeCHmOQ6Gnm2BNrf/atjEH+nHHuoFxXdLnzpZ9epZrv0C4sXHoQ0mdOnnNF5bO4FPesfQfOjzlLliFmCpc0yR95uSY88zeHlxr/IMCnueS72gfs/OKZ9vk29sv2yrbtSxSp44XX0cXLCTf2TZmS0bPtih0d+JetE63YJI5d2bM9WfbWq9bMEhMDtcs+Nkgg38HiqIMF1a9BEUPDN2XoegG9mDgEEAxjLHPf5Powv7TfgFVRaHvfDcv/uuTtLx6jKqmaoxwkEhtgv6WLqxsgWwqh+u4HHx6L8//29M89y9Pks+U/z5Vc2tpP3p+Ar+NmE0cxyHf2V4cRjmSZ9tk2y/gyHFZCDHNSUBkGhga4lKOlRoodlvQY/HBKP7YzP4+jEiZzgyuS/Eqc3DZa+0vXygTDAH/KbJbpuWlELOd5zjDtRXGYKXT4/6Zrm0PpkKPrdDbc9l91nMc7FSq+NqIxzEH+suvs79v1EW2a1vljzmeV9JRREx/7uDv07UHf+eKcmUZIpqCavjDLlVdx83nigG7qZYhkuroI9M9QM2iRtLdA+z69nZyA2lQINnWQ8+pNqI1FWS6/bamuXQORVVYvGUpG+7bTLKrn+1feRKrMPZNZ/X8OjpPtWObclMqxp9nFij09ZWdb/b14dnytyeEmN4kIDIdKErZdrfgF1f1HP9i0HOdS9bnUHUdz71UkEMtWfYKHtaNvZZL1TlQlAkpDinEtKRern7C+NffURT10scYXb+yzlAjlvEcxy/8XG5RXS9ZHrjsZ5RrES6mJ6cwOGzTsvx6VZ57RQERAGWwxe7Q39DQECvVCPgFei+T0TRR2g6eQdFUKubVceCxV9GDBvmcRdXCBhJN1ZzbdRwjHATPQ9cUFm5aQrgySrorSWVTDevv20KmL81rP9qJx+jhM7XN9bi2Q/ux1kn4dmKmU1TtsteU13yhKIQQU4QERKYBVdOINM0tOz9UV0++uxPw64qEG+eUXTYyZx5WMjnmPC0UKqkVEJ4zFzVwbRXEg1VVZS9sw42Nlw6YCDGLqbpBoLKqzEwVPRK9Dp+pE503v+z8yNz5lw3EqIZBuLGp+Dp7obXk9cXCDU2jOlkpulH2+6mBgBw3Zpih4ZueZaIYOniXL6g6RA0E/CYztgOKUqy3M1QI/FJZVhOpbf9pKufW0nuuk4G2HtSAgR7UqVnQSN3SuWi6SuvB03iehxHQidckCCciZHqSeJ5HtDLG8ltXcf7gWc4fPDdq/YmGSgKRIOcPnJ2EbydmOi0YJDyn/PVnuGkuelgqUwshpjcJiEwTeiRKaIybC//GSSkWlUssXY4WDhNtXjBqWaOyimBNLdH5zaOetCqaTnTBYjLn/IsqI5Eg0jQH9RqfyKrBINUbN4zxPSJUrFguXWaEKEPVdWKLlowORioKFStWXbeggB6LE6pvHDU9VN+AEY9f9v2KphGdNx896gc0rIF+tGCIQHXN6HXWNRSXK9mGcJjK1WtQLg6UaBpVa9ahhUJX+nXENOANBi0c00I1An5Wx2UCIp7n4eQKxeFTTjqNounFOiJqwP/bmQrDZuyCReex89QsauTMy0cIV0ZJdfZTv2QOqqqg6RrVixrJ9qRwXI9AQCPVnSQQDWEXLMzB2iH1i5qoba5j72OvYJmlQ9cURaFuUSMt+05NxlcUs4AWiRCqbxg1PVhbd0XnBiGEmOrkrnQacG0bz3WJzm0mXN9Ioacbz/PbnimajmuZVG3YjGroKLoBnke4aS7B2joK3d14jk2wtg41GAJVQQ2GqF6/GTufxbVsVMNACwRxLIvEytV+O8pAAEVVcW17cJiNi+e6KKqKoqo4tg2ui6LrqKrqF9VSQNP9i1FV0wjV1dFw5x3ku7pwcnmCtTUY8TiqYeA6zjUHW4SY6fRQmKq1G7AzacyBAbRQiEBVFZoRuLKhK1fJdfz9PL54CZG5c8l3d4EHobo6tGAID/8GUwv6QRrXtv1aH7qOpml4novnuKhGgMo167E9D3XwaX+seSHunHkUertRFIVgVQ1KIOh3B7GsYpaI69h4josWjVK7+QbsXA7XNFEMAyMcRg2HUS/67q7jgAKqOvaxpHjc0jQZpjfFeK47eB5QwfP82h9W/pIBEadQwEqmhs9Fmorr2LhZB9eycAp51MGhNH624+S2om0/fBbXdghWxOhv7caIhAglIlQ2DmeAFfImrueheAqq63Fm13FQFQKaRro3RTDmP31fctMKXvnBixz92QHWvmljyefUL2lizyMvke3PEKkc/wwyMbsZ4QiR5gVE5g8/aPMU/4mqZIcIIWYCCYhMYXYhj2eaZNsv4JomRixBqK6e8Nz5aJqGnc2S7+nC7Ovz09Wb5uIMJMm2thJbsMAvQlgwB2sDKBS6Osl3dRFqaiIQi1Po7sbOZtGjUT/Q0tWFOTBAqK6OYE01mQutqLpBsLaOXEc7diqJHokSbppDvqsbK5kksWIZhVSKfE8XiqIQqm9Ej8bQQyFUTUONRjEGnwQ7pomdTpLp8of3DC2rSRq8EKNowSBaMEhwjAyL8eLk8xR6e8h3d6EGAsSaF2LncoPBg8EipopC6swZPNMkvmwpiucPh3EKBYI1tQQrq8h1dmClkujhMOHGObi5LOnWVlRdJzJvPoqmonjg4eEUCui6TqajFc+2CNbUoygqmfPncQsFjIoKwg2NWKkUhe5u9GgUff78Ygtx8Ida2KmkP1RQUQjXN6FFosVjiWvbOLkc2dYWHNMkUFVFqK4eLRiSwMgUcXG3s6GaIEqZGjpWJoudTqPoOno0iqrpONk0HqCFw+BY9B88RGL5MlDVKZEh0rr3JJHqOD1n2tECBrlklubNS4tBH8u0aD9xARXQVAVVVZm7ej7pvjTZriQXDp6lprkegFAszLxV8zn24iGW3rySUHQ4W6ph6RxQ4Ozek6y6e33JNqT703ScbifZncS2bELRENVN1TQsbEQPyCWguDIKYKVT5Ds7wPMI1TegJhKXfZ8QQkwHcjacomyzgNnXS/r0cPtNKzlArv0ClavX4qoaffv3lnRpKHR3EZ4zj+iCZjLnz1Po6gJVpXrjBvoOvI5bKBBqbETTdXr37GKoo4w10E+u7QKJZSvJd3eTPHoULRSiessW7HSKnl2vFm9GzP5+shdaSaxYSbhpGcljR4pjt/35fQQqq4gtWoo+Ir3dMQukThzFzgx3yLCS/ejxBPHFy9CusVaJEOLa2Pkcfa/vxR28cazeuIXkyWPY6VTJcno0RrihCddxsdMZUsePAv5NqBYM0rN3V7FtqjXQT669jfiSZaAo5Lu7yHd3EZkzFzUYIHehlRxgJCqILVhEvqsDayBJ6uSJ4ueZ/X1kz7dQuXoNmXPnMPv6yJ4/T9WGDYRqa3Fti+SxwyXHHWugH6OiktiipSiKSr6jndSpEyXzsy0tVG3YVAzQisnl5ocDFoquoypDfXRHB0TsXAE7nfaDhOEwxSKOqoriusXzk2LoJI8eRwsHih1sJovrOFzYd5KGNQs5t/sEigLhyiix6uEhBm1HWvAcDzWgD+1CKK5H9bw6rHSeTG+KrtPt1C3yh7I1r1vEhWPnOfqzA2y474bieoLRENVzaznz2jFW3b2evvZedj+1m4M/O0DXuc4xt08P6CzZuJQN925k9a1r0HTJ2BRjs3NZkseOYiUHitPM/j70WJyKlavQw5FJ3DohhHjjJCAyVdkO6TOjxwR7roM50I85MDBmX/jchfOE6+opdPutd8MNDeTa24o3PbF5zfQd2AcXV6v3PNJnThJrXkj/wYM4+TxONkvyxPGSJ7NDUidPUL1+Y8lNyRCzvw8nmykJiFgD/SXBkOLXTCWx0ym0agmICDFRXNch23KueFwIVFdjZdOjgiEAdiaNa9sEq6ro2b2rOD0yZx7p06eKwZCRUqdPUrF8FWaf3347e6GVqvUbyLVfAM/DSg5g57IEq2vp2bN71Ps9xyF95jTRefNInfSDwv0HD1J3yy2YA71jHnesgX6cTAY1GCwJhgyv0yZ14hiVq9cWC2+KyeMU8iiKfyZSDQPP8/+OFKV0WJRj2djJJGogUBoMYTB2omo4+TxaKECgIobZ24drWtiTHBBpP3QOM1sgEAlh5U0c22XuhrnFgE8umaXvQi+KqqAHdFzLwfM8rHQWIx4hXBnFLlicePkIVXNr0QM6etBg7spmTr5yjBW3ry3JEmlcMY8j2/fz73/2NY68coRgIEBNUzWrblzBvNXNzFk+D1VTsfIW/V39dJxu5+yBM3z7098kXhPnjnffyQ3334QRkH1DlDIHBkqCIUPsdAqzr08CIkKIaU+Kqk5RdjY9ZiACQAuFMXt7yr630N+LEYsBEKqtJd/VVZznuQ6ebY/5Ptc0UY0RMTLPLd4wXcyzbVyrfBX/XGc77uDnuJZFvrO97LL5znZcZ+xtEkKMP8+yyHV2FF+H6hspdI39JBnASiWxs1m/LeogNRAotjodxXXxXKek3onZ14cRG346Xujt8YfklDnOWakU+uBxDAaPOYXCJbez0NdTtosW+Fl2bpnjn5hY/nAsFVzP7xhTTJEYDnh4nuf/PlUFPVIaDBlc2G9T7biAgmdbhOfMwXUczIHRN3AT6cxLh4jUJOht7UIzdPRwkESdX9PE8zzO7vcfeMRqEpg5Ez0cwEPByeT9jjPhIHjg2C7nD5wprnfemgWgwPGdh4vT0n0pzh5r8dvvHm+lefEcAiikO/q5cPAcL31zBy/+x3YKmTyBcID65nrW3bWet/7223jHR36RhoWNPP5Pj/H5//I37HlqN+4UaVksJp+dz5PvKH/9lutox86VOQ8IIcQ0IQGRKcpzx75JuOL3Dl1UKpTecJS5+Rhr9mUWxfO88gXwPK+Yg+Lh+cteaj3X/nWFENdixD6pKErxCX35xa9uJ734+DBWBxHvsjdepZ/pjTiulPnQy6/zKr+HuD6cfL5Yq0YLBsAdPWTGzuXxbBstEmHsyxV/WSVg4Fp+kF4NBtHDYVyzgJ3JXPfvMZZ8KkvrnhM0rJpP94k2LNOmcl5N8bt1n+uikMqj6Sqq6v8MApEgWtAvil4YyBCI+FmTFXUJWo+cwzb9jFAjaNC0fB4nXjlKPpNn7zN7+N5ff5eOli60kEFY0Uh2DLDohmVsftvNbHn7Lay8cy2957t4+suPk+kvzdSsbqrmzvfexS/+z3dTPaeG73/2u3zpd7/A2RFBGDGLee6lj5nepa/vhBBiOpCAyBQ18snoxZxCASNRvnp+sKoKK+1f9Jh9/SVtLxVdRynTkUHR9ZInwIqmjWp/WaSqft2PMifCUG092mBrXVU3CNbUld/emjppwyvEBFJ0vaRYa767m2B1bdnl9UgUPVJae8Oz7fItgBXFHwbhOMVJwaoq7PTwzVggUTlqnSNpkQjOiDoTqKpfZLaqfJHZQEUVgYryx0Y9GhssMi0mm/9U2cPz8Fvuen6Wx1DRW9fxcNIZ1EAAVS9zHhoM+GvhsJ/56Hl4joOeiKMoCn1HjkzU1ylx4rl9oCjo4RCOZeO6HpVN/t9tIVvgwrEWAKJVcbK9aQLhIJquoYUCKIpCrqMPRVFQDY1gJIjneLQdbS2uf96aBdimxaP/9wfseWo3dfNqmbekiULOxLNsTMvi2MtHeOl7L/Did55n/7P7cBWFQqbAc//yJGZudHZnRW0Fb/rAvTzwW2/Fylv8v9//Mt/839+g90L5bFQx8+nhCMG6S1y/1dahSGF8IcQ0JwGRKUrVdMJNc0fPUBT0WIzY4iUwRvvNYE0tnusVh8xk29qIzpuPMtjiNtfRSWzR4jE/M9q8kEzLef9jdB0tFCK+eMmYy8YWLEQxjGKLw5H0aBR9RG96RVEIVteiBkfXCdFCYQKVVaOmCyGuH1XTiS1cXDwuFLo6CFRWoY2o+zNEC4XQIxGcfI7o/Obi9GxbK7GFYx9LIvPmk2sfTrMO1tTiFPJ4rh8g0cIRAokKzGQfkXnzRq9AUYgvXESmpaU4KbF8OWowSKiufszjjhaOoMfjqIEA4TljHzvjS5dJV6spYmi4laKpfmcZ1/WHvwzNz2XwPA8tdIm2nspQy96A33IecAt5tMG/j0JXF2b/xA6dKaRzHPvpbuqWzqXl1aMEAzqxWJDkuQ4yXf2c3XcCFQVVU7AKJq7rEkoM1mDQVFBAwSPd2k0gFMDMFKhsrOLCkXN0nm7nyM7DvPzIThzHxclb6IpKT0s3bYfPY9s2iqJQP7+exZuXsuzmFSy7aTkL1i8kWhnFcRwyfWke/7sfke4bXdMLoGFhI7/w22/jjvfexZn9p/m//+1z/Pjvf8RA1+QOQRKTJ1hdgzZGnRAtFCJUW4cuQWYhxDSneLMw1y2ZTFJRUcHAwACJKdw2zMnnsDIZshfO41omRjRGZO581EAQVBW3kCd7vgVzYADVMIjMmQsopE6eJLFiBXY6Tba1FTUUIrFkCbn2NqxMmmjzQlRdI9tyDjuXRQ9HiMybT76nl3xbG8HaWqLz55PtaEfVdQKJBJmWc9jpDFo4TLS5GXMgiTkwQOWK5eQ6O/yaJqpKqK6eYE0t+hgXsU6hQKG7c7BFLwRrGwhW16KNESgRs9N02TdnAs/z2+pmL5yn0NODHo0SX7SEfHcXhR6/7lCwrp5gZRUDx4/h5vNUrd/gv+d8C04hT7ihiUBVNZnz5/ziyKEQ0XnNuJZF6tRJFF0nOm8+WiRCerDQaai2jmBtHfnONlzLb7vrOQ7ps2dxzQJGPEG0eQG5zk7ybW1o4TDxJUswYrFiMVSnkCff3Umhp9sPuNY1+Bftg92qHMvESibJtpzDMU2MRILY/AVo4VDZDDlxaeO5b3quS/uO51BUZbC1ey1WKonn2OjRGK7jYfZ0DxZSLV+w0bUsPCuPlqgCx8HJpUFRCdY1kms5C6josTh1N95Qdh3jyfM8Xvzyo7TtPw2uP5TAcT2CsRCKB3bexHU9P5jhgeu4GNEQwfjw+dJOZfE8j0LWRA0a5LImRALkelKYjoMLeI5HKBbCK9hUL6gnn86R6knRtHwOqfM9RGriVC5qoP1sB/1dA7i2QygWpqaxilxvhr7z3bgK3Pj2rSzevLTs97FNm0MvHmT/9texChabfm4zW99xKw0LGyfgpymu1EScN+1clnxnB/muTvAgVFdHqKFRCqoKIWYECYhMsZsu17JwLRM766cKa6GwXxPEc0HT0C9qT+tYfoosqoIeCuMUCniui6IqeIqCVzD9Kv66jufYWKkUqq6jR2Ogqv6ymooeDGFn/QsxVddxLQsrlUTRdIx43H+S7HkomoqqGzj5HO5gMTxFUXAHO96ogQDqGJkrQzzP87vjKKDoRjE9WgiY2vvmTOW5Lq5t+XVEUIYLL3t+G1NQ8CwLDw9V01E0zV/G9VA1FS0YwnVsPMcvoqrqBrZp4lmW30EjHMFxHDyzACj+kBXHxkqncB0HIxZHCwT9Qo6ui6JpaIEArj1inWMM3fNc199OBTxFxbMsrHQKz3Ew4gm0QMCvN+K5KJqOqkkg5I0Yz33TzmXpemkniqYOZglWYg70AQp6JIKVTmNnchiJRElh3ou5toVn5tHilSiKgpNN49oWqAE8M4+RqCDf0UX91lsIVFa+oW2+HNdx2fud5zi5/XUURSExt5au0+24HsxZ3Uzf+S7MdB5dUwb3NXAcz9+PAjpGIuJ/h1wBN1eAaJhCXxrbcUkVLFRFwbYdXFVhzrJ5hGMhOk60YWbymKZFw5ImotUxBi70ku1J0THgF2Y3dA28wdGtg3V9AgENxQXTcVi8eSk3vX3rmG13Pc8j2Zei/UwHJ/ccp+t0J45lE4iFiNTEqWisIlGToKaxmjmLmliwsplI7BIZPeK6mJCASD6Hp2pg24AHuoHiOmM+/BJCiOlG8tymEMc0SZ8+XtKeVtE04ktXokeiYwYPNCMAI9LHtWAQ17Yp9HSTPH4UPI/EilVkuzopjOxMo6pUrFhNoKKieLOhRyI4hQKpUyfJtbcNL6soVK5eQ7CmtnhToYXCjLx8utKbDUVRZLypEFOIMlgPyDEL5Ls7ybe3lswPNcxBC4bo2/+6/7qunsSy5eiR4eCsqumgDZ9O9EAARuznmqZBOOJ3/+jrZeDIoZL6Q6H6BmKLlgy2VR1cp67DJVKxFVVFGQycmD3d9B8uXWd4zlziixYXs0bE1GFn/bbJiqL4GY/4AS5V1/3aIdkcWjBwyWDI4AoYfDMoGopuoHoudiaLoil+57RgkOTJk9Ru2XJdvotjO7S8doxDj79MurMfVVVZuHU17cfPoygKgZBB17FWP+CnqlgeuJZNQNcwdBUPsG2HQl+aQEXUD0LmCqR6U7iWQyigEwsH6UtmCGgac1c1Ewj5+5YRDpAbyBBORMjnTPoOt5BP5oiGAoR1HU9TMYI6mqGjaSqW5ZBLZcnnTUKGga6onNp9go7T7dz33+4nFA/T29HHmSPnaDl+ngun2sim/aFNmq4RjYUwIgZWwaL/bBf957pwVYVUNkfe9IOq85fNY/1ta9h89ybmLZlzXX7mYmLZuRz5rg4yZ8+UTI/Maybc2IQelqCIEGJ6k4DIFOG6Dtm2lpJgCIDnOKROHKFi5borHlriFPIkj/nF5IyKSuxspjQY4n8gA0cOUrP5hpKnr4XentJgCIDn0X/wALU33YIaLV8EUQgxfTn5/KhgCEC+4wLxJSvQwhGcXJZ8VydGIkF0fvNVZ3i5hQIDhw+O/ozODoxEgshYdZMut92FPP2HRq8zd6GVQEUFkcamq16nuL7sTLb4/6qh+V0qXBcUFSeX8wutBkvr2Xiei2c7g8EP/ACIOtiHaDAQpqgaHhCsq8Hs6/e7zLgehZ4eBo4dJ75o4ZjZRteqZfdx9n57O9m+FJGqGKqi0HzTCsLVcZIXesEDt2DhAi4Qr4rR39HnF28L6HiK3zLY0FUc18McSKNFgriehwYEKmNYySyGrlJdnSCTzJLrz6A3GPRe6GHgQq9fhDWZJTWQQdVUCrZDGI/KmgSBmtHF2asaK0kPZOht6yOi6+iaTro3zff/z7fJ4dKfTKOqCtHKKPG6OPNWzqVxfiOe7dDX2U8hV8CxHRRFoZDKkR/IUhEMURmJoEUCFNI5/vMbT/Povz7B/GXzuPPtt3HzthsJRSQwOV05hfyoYAhA9vw5AhUVEhARQkx7EhCZIjzL8utwjDXPcXDyuSsKiHieR65tOKARrm8gdeZUuYXJ93QTG+z04BQKpMc46Q3JdbRhLC4/3lgIMT05lkW+s73s/HxXO7GFCxk4fAiATMs5wg0NaMHRRVgvJd/VWXZepqWFYE3tVWd0ZNvays7LnD07WFtEstKmEjuTHuqY69d0GcrsURScbBYtMJQd4uIUTNx8AXdEx6IhiqKgBXVc00QL635R0kFaxA/gBRKVFLq7yZw9Q/Z8C7FFi4gtWHD57JNL8FyPvd/dwbGnd1O7ZA7ztyzjxLN7aVjdTCgR5cSO/YMbCK6q4NguFY2V5NN5VEDVteGsSkXxh83goHpgpnJ+UCeo09M9QEDXUD0F3XEIRoIkO/robOnCzy1R0EI6XsEhFAvR3dVHvCqObhi4eRPP80YHLRWFcCxCRb1LtjuF7inkLYuQoRNCIWxonOppx+33CGgG1eEEZ/acRh0j+DnUk84IBdBcFzfpZ5NEFI2M5tB5vot//5tv8b0v/Ih73nUH9773HhJV8VHrEVOXXSiQaz1fdn629Tx6NHrV5wIhhJhKJCAyVXge5VrYArhmoey8i9fjFPLFl4qm+TU7yq03P7wsnodbKP85TjY39gWWEGJa81wH1xrdinOIa1klT9Zd0xx8NH91nFy27DzXLFzyGDgWz3UvuU7HLPiZB2JKMZMDw38/qurXgsHPpvA8FzUU8mtpZbLFoTR6KARDHWk8P/jv2rZfuDSTwckXMBIJUPz1qbqB47oYiQQekO/oIFRdTerECfLd3VRv2HDNgbK9393BsWd2s+yejdQuncPubzxDqDJKf0c/518/XRzK4ykKlmmTqK9E1TTMtH++NUIjPldRQFNwXBdsl2BAx3FcPM/DCOgEQgGcnImrKQQUBdP1s0e0YIB4XQIUhVTHAPlklkgsTLwyhmu7kDNxCzZayAAPzIJJJpUll8ySy+TxgEDAQFd1IgGDVL5AJBigIhRh44KlZB0LM+vXIHNdB9v1sBwXF4dERYxwKEwuncO1HOy8SagmzsoblpPsGKDrTAehbAE0hT7LJpfN8cS//5SnvvUsb3rXXdz3K/cSl8DI9OA5OGb5c4NjmnhyjBVCTHPSdneqUFW/2GAZWuTKhqooqlpSPM7J59EvMczFqBheFk3DiJcvyBWsrpZgiBAzULHQchl6JIqVzgy/jsXGbPt9OYGq6rLzjFgcrrIDjKKqBKtryq8znkAZo1ikmDye6+Jks34gQFX9AqOD7ZidXA41EMDO57BSab8obzSKFg6jGMZghyAVFBVF1dACQT9LJBDEtWwK3X6WpetYxfOpa5p+rSzdwHMcvwNbJkP3q6/ijHwgcIVOPr+fY0/7wZDK5nr2fOs5rLxJqiuJlS1QtaAB13FxHBfLsolWxQgEDcxcAXewaLCqle47ruOSzxbI2w6m5aCqCpqmEokGyef8m9F8wQ/+REIGRsAgXl8Biuq/t1BAU1Vi8SgoCoqugqpQ6EvT2dLFmSPnOHfsPL1tvTiuS0VNgsb59SRqEyQLOQxNIxwJ4uh+sVfFdgk5iv+ABZdIZZS6+XU0LqgnFAvT1dNP70A/DQvqaFzSiB7USfek2PXUboxokBW3r2bR5iVE4hGqwhHmN9YRjgQxCyY//dazfOI9f8aP/unRYn0SMXUpmoERLx+8MuJxv4aUEEJMYxIQmSJUI0Bkzvwx52nhSLHw3JUI1dQWLwZz7ReIzGse+zODwZITnWYYxJeMPSRGNYxL3swIIaYvVdMJ1TUMF6kcSVEI1TWQHjH0LrF0+TU9XQ9UVKIaY78vtngJ2jXUdwhW16CUeV988RJUffxqRog3zkr7dbJUXS+2QPYGh8P4Xchs3HwBLRRCC0euYGiLgqIpBCriqIaBncv7tUZUzR+CYxb8BwU11RR6ewcLiq/As226d+265NPvi/W1dLL7m89St3wuPWc7eeWrT2Jm8oSr4iy4cQXNW5Zh5wrFLJZgJER4sOtKPplFAYxQ6d+j67jkBgMDnudh2g6W4z9xDzGYveWBqijkLQdNVQhqCq7tUMjm6W7twXZcHM8l25viwul22k63kcnlwXJI96VwXZdA0CAcixAI+cOR0ukMrS3tWJ6DpyuEFQ1NVclZFp7noakqFaEwEc0A06WQzGEmc0T0ALUVFTgFh+OHTtNy+gI508R0HVzX5cALB3j+Jy9ycP8JUk4BvSqMaznEFYPFC+eiBzXMvMnj//YU/997/pT//MZPMQtX/jsQE0szDMJNc8YOgCsqkTnzUGVIohBimpOAyBShKAqByiqi8xeWZIoEqqqJL1l+VTcKajBE9fpNGIkETj6PNdBPfNkK1BE1SAKVVVSt3TCqh7wejVK9fiNaKDRi2UpqNm2RwllCzGBqIEBi2Sq0EccELRwhsXQl6ZYWcF3UYJCqtesv+cTwUrRQiKr1G0sy09RgiMo169CvMAvuYno4TO2mLSXr1MJhqjdsvGR2nJgcufY2f+ilpvnt3AHXtnEHgwCe66JHIlde/HSwBgeKih6LougBFAXM3p7BFvF+FshQR7XMuXNowSCJZctwTZPePXvGrE9yMbtg8cI/Poqqa7QfOc/A+S50TaVyfh2NaxYQiIWwCybJjn4cxwNNIVbtZ13Zto1t2n5HpxEZSyXBkMFasXhgmg6W5aIoUJMIo2gKuqaCoZG3HYKGRqqjn572XuzBYUMFy0ZVFAKaiqZp2J6HAsRjYXRdx/U88rk8qb40PZ19JHvTGKqO7mlksnlc18WwPXRFwXIcPM9DVRXCuoHmeNhZCydvQcEh4CpUhSLUhGOEPY2gqhMOBVAD/rWL4Wk4BYtMKkdbezdnuzrpy2VIdyep1INUVyewXBvLsvn+lx7hD9/7SZ77/g5sy76y37mYUEowRNW6DSVZhHokStW69WWD0UIIMZ0onneVg7avgy984Qt85jOfoa2tjTVr1vD5z3+eO+64o+zy27dv5+GHH+bgwYPMmTOHj33sYzz00ENX/HkT0bP9Wnmeh2uZeI6Loip+G8ErbGl7Mcey8GwLPA/FMPBsB8+xQVFRdf2SRVqdQgHXtv02uYZxTU9uhbhaU3nfnC2cQsE/TgCKpqOoKu7gU2NV18aleJ5rWbhDxybt0seiK+VYFl5xO8dnnWLYeO2b7T97Hs8y0YIB1GAIIx4n392F59i4lusPj7mK4VieY/nBupAfyPOzTAo4g1kHiqoRbV6AoihYqRTZ1lYSy5YTrKrEzmZJHj1KoLqa6g0byn6u53k889ffoftEK6gqdcvn0X+mjWAsTP3qBcWhpO2HzzHQ1ovrekRrE8X2uKnuAayciREOog8GDRzbIZ/JD9dSGUrOcvEfVSkKYUP1t8nzyGQtBnIFHNelKhpCUVTa+lKoqoZmaKiaguoCrgdBHVQF3XZRgIKhFrO/UgNpMukMQSOIqiio+JugKAphXcdyHDKW5We46H7WiOeB5djkLAtUxf88xf9ZWQUTBdBUzW/+Y2iYpuX/DGpizFk2F9d2yaazpPrTmP1ZdAcs1yFVyFOwbBJVCTLJDFV1Vbzlg2/mtvtvwQjKNceVmqjzpp3LDWZz+QHNix+oCSHEdDXpA/++9a1v8ZGPfIQvfOEL3HbbbfzjP/4jb3nLWzh06BDNzaOHepw+fZr777+fBx98kK9//eu88MILfPjDH6auro53vetdk/ANxtfQeOjxoBkGjAxkXMX1hRYMyg2FELOQv9+X7vvj2ap0aH3jvc5Rxzsx5VipFK5ZQAtH8GwTVdcp9A2gKH7tWz0SBuXqElcVRcHDKxb8VhQFNA0tFMBK5tACfjFfPRJFj8XQo1HSZ05jxNehRyLEFi8mdfIk/YcOUblmzag6Wdm+FM/97Q9IXeghVBmj+cYVtLx8GE3XqV0xv7h8PpUbDIaAZmjFYIht25g5E0VRisGQfCaPYw1mpQx+nDdYl9LzPHD8KIml+qdtRVGJRQM4eOQdj4zlkAiq1FVESTsjCloqgOeAaUNQx1Eg4IKZzpErWHiunzUSCYQGPwvcwYiM53nkbZuQrhMB8paF6TgYgKFpGOioikretvBMF2ewx4yKioeH6TjomobmehiKiqeB2Zfl3L7TzF+7gFhljFiln2FgZQr0nusioOkUbJuBgQy265DL5viPz36HR//lcd70nru48+23E6uQLK+pQrKEhRAz1aRniNx8881s3ryZL37xi8Vpq1at4h3veAef/vSnRy3/8Y9/nEceeYTDhw8Xpz300EPs27ePnTt3XtFnylNoIaYm2TeFmJre6L7peR7dr76CnUkTrKvH6usBPeAHK8JBQL3qorr+ih0820IJhIZrkrgOOBYeOk4ug+d4RObOQ4+EcS2L9OkzGIk4iWXLUBSFQm8v6dOnCc+ZQ+Xq1SiKguu6nNixnz3f3g6OQ6y+kuYbV3DmhQPYBYvG9YuL3WJcx+Xkzw7g2H53mKHsEA9IdvThmDZ6KIDjOH4gZPCqy3W9wcSNwa40jOg2pyj+kJWAhuOCrvnBnoGsyUA6RyQYIBLQyTsu2cGgiOt5OJaN4SlYrotp2cTDfnCzN5NDYbhV7tCln8JQhog/XVdVQrpBwbHJ2X6miKaoBIaGN7l+4KTg2H63H/wgi6IoI/6roCjD01wgVhOncm4NelAvfn4hmSPZ2oudtyi4Nslsjpxlohs6On7Wy5Z7NnPn229j6frFqG+gVfJMJudNIYR4YyY1Q8Q0TXbt2sUf/MEflEzftm0bL7744pjv2blzJ9u2bSuZdt999/HP//zPWJaFIU8IhRBCiCkl29qKlUqhBgw828bzwEml0YZa0F5LMASGM0pcd3gdg9MU1UM1AriYpE6dJtxQT6i2hnBTE9nW86TPniW2YAHB6mrwPNJnzuCaJgW9gr3ff4G+li4MQyVck6BhVTMnn9uH53k0rl1UDIY4ls2pl474NVAUBT2ooxoauWyBfCqLZ9q4gJkbLhw6HPMYDIQMpYcoynAHmsF5tgO6BrbtoWlQGQ0S0FWSWZOC7RA2dEzTIpUzi6NuUFUCug4eZE2LRChI2NBJ5Qv+qvGDLf6PzS3poO04Lq7rETYMVE0hXShgejaW7RAyDHRNJaIaBByNvG1jOQ6u5+EOdgpShv6pfmBEU1RUVSHTkyLTk/Lb+CqArqAGdTRDQ9MMgnmFupiO6ThkCnmyjoWdc3jpqVd55anXiMQjbLlnI7fcdyOL1ywqqcUihBBCvBGTGhDp7u7GcRwaGhpKpjc0NNDe3j7me9rb28dc3rZturu7aWpqGvWeQqFAoVAovk4mk+Ow9UKIN0r2TSGmpvHaNz3PI9vaysCRwyiaiqIZmP19/kxVQTG0qx4mU0oBVDzXQRkcF6ooCp6qg2ujBgN4toURi5Br76TQ20+ovpZwQwO5jg7cgkl80UK0WAJLj+N0dGIVLhCNKKQNjXBlhHBFhDM/O0AwEaFuxXz0oIHnQdeZdnpOt6MymHnhumTSFsmBDLqmomtasVCq/7Mo/bmA57fJ1dRiMKO4iOvh4VFwXBRFR1HBsv3gQzigEzJ0UtkCpm1TEQmhaxoDmTye5+EMdqsxNBXV9Ye/xENBbMfx1zf4OR5+6+qLe0s5nkfOsggZBpWRsJ8RMpgV4niqP4RG19A1Fcd1KdgOlutvm4eH47jgeiiKh+O5KC7oqoY62GZZ98CzPDzLwnJNcq6D5TioikLIMKiKRKnwPAq2Rc4yyVk2/X0DbP/Rz3j+Ef9hWTAWpHpODQtXzGf+8mZqG6uJVUSJJ6JEE1EisfCMzSiR86YQQoyvSa8hAowaszs0Fvhqlh9r+pBPf/rTfPKTnxw1XU4iQkyMeDw+5v4p+6YQk+t67Jue6+LZDnZXF2ZnB1gmqAqu4+JmMughA8dy0CN+LQvH8/zaF9dKUVBcB9uyhtuDeqCigGP5tWUsC706gZPJkz1/wd8eVLy+fgp9exnoyTLQncVVoL4pzrKNDcxfVkV3a5JUTxY1EaQnlaFtx+sojusHBTTVD4a4Lp6n4DgumqKiB9RiCz+XkYEQb/D/SyIjeI7H2GOX/d9LwbQJBXQMXcVxPCzXRdMUElF/OIzteFRoCrGQQa5gkS3Y5C3b70ij6SiKguO6VMei5C2bbMFvk3spDh4ZyySgaYR0nZCuY3sututiu46fZaIoft0QVQUMPxjjutiuHwixHQfbdfHwsPFQXAcNBWdwKI2qKGiqgq7qBHWdoR+Nafsdc4K6QUg3qI74Q5hsz8V2/M93chbdJzvoOtHOy4++guM62K6H67l+xornoRkaRlAnEA4SjoaIxsOEYxEiMb8dcigSIhQOEgwFCIaCGEGDQNDACBoYho4R0NH0of9q6LqGpmuog518NE1F1fyhPYqijHsARs6bQkxN5fZNMX1Nag0R0zSJRCJ85zvf4Z3vfGdx+u/+7u+yd+9etm/fPuo9d955J5s2beL//t//W5z2gx/8gPe+971ks9kxh8xcHE1vbW1l9erV4/xthBDllBvbLPumEJNrvPfNB269nX/4/Y8DYESDoIAyOAzE8zxUze+c4nkeiq752RzX6TJk5AWrazt4toNrXVngpdzFbtupXk7tbRuX7RsPl7oozxdsUhkTt8xDo3SuUCYQc2Wf43oetuuOsfRonucNdqtxKBf+uZrPvpysaZExC8XvXk5fLnPV2/NG/efB75MuXD54IedNIaYmqdcz80xqhkggEGDLli089dRTJQGRp556ire//e1jvmfr1q38+Mc/Lpn25JNPcsMNN5StHxIMBgmO6JgSi8VoaWmZ8AhfMplk/vz5tLS0yI5UhvyMrsx0+znF4/Exp0+VfXOiTLff21QnP883bqL3zen+O1t2Myz7Zf//p/t3GSLfY6L938svwtQ8b06fn/HVk+82PU3Gdyu3b4rpa9KHzDz88MN88IMf5IYbbmDr1q18+ctf5ty5czz00EMAfOITn6C1tZWvfe1rgN9R5u///u95+OGHefDBB9m5cyf//M//zH/8x39c8Weqqsq8efOuy/e5EolEYsYdkMab/IyuzEz7OU32vjlRZtrvbbLJz/P6G+99cyb9zmbKd5HvMT1NxnlzJv+M5btNTzP5u4nrb9IDIu973/vo6enhU5/6FG1tbaxdu5bHHnuMBQsWANDW1sa5c+eKyy9atIjHHnuMj370o/zDP/wDc+bM4W//9m9517veNVlfQQghhBBCCCGEENPMpAdEAD784Q/z4Q9/eMx5X/nKV0ZNu+uuu9i9e/d13iohhBBCCCGEEELMVDOzJ9kUFQwG+dM//dOSsZ+ilPyMroz8nKYn+b2NL/l5Tj8z6Xc2U76LfA9xpWbyz1i+2/Q0k7+bmDiT2mVGCCGEEEIIIYQQYjJIhogQQgghhBBCCCFmHQmICCGEEEIIIYQQYtaRgIgQQgghhBBCCCFmHQmICCGEEEIIIYQQYtaRgIgQQgghhBBCCCFmHQmICCGEEEIIIYQQYtaRgIgQQgghhBBCCCFmHQmICCGEEEIIIYQQYtaZlQERz/NIJpN4njfZmyKEGEH2TSGmJtk3hZiaZN8UQog3ZlYGRFKpFBUVFaRSqcneFCHECLJvCjE1yb4pxNQk+6YQQrwxszIgIoQQQgghhBBCiNlNAiJCCCGEEEIIIYSYdSQgIoQQQgghhBBCiFlHAiJCCCGEEEIIIYSYdfTJ/PBPf/rTfP/73+fIkSOEw2FuvfVW/s//+T+sWLHiku/bvn07Dz/8MAcPHmTOnDl87GMf46GHHpqgrZ6+7IJFIZtHUVUiFdHr9jmFbB4zb6LpOpFEhMxAGsd2CUVD4HmkelOgKMRr43i2RyFXQNM1ohVRkt0DOLZDMBwkEA4w0J3EAypqElimRS6VQ9VUqhqq6G3vxbEdjIBBuCLMQNcAngexiiie55FL5kBVqJtbW/pzsG162/vA8wjHIxgBnWRfCkVRqGmsJtWTxDItdMOgsr6y5L2WZZPuT6OoComqOP09ScxcAc3QqWuqob83iWPbRGIRjIBBsi+JovjLappWsq7+Pv9zorEIqqrS09mD50F1XSWRaKRk2WR/CtO0CEdCRGOl88TMkUvlsE0LI2QQioYvu7yZN0n1+PtIvCpOMBKkq60b13WJJqLE4lH6OvtwTBsjFKCitoK+rn6svImqqdTOqSWTzpLqS6FqGvVzaslmc2R60wBEq2NEImG6W7vxXI9wIkysIkZHaxeu7RAIBahpqKavqx8zb6IbOjWN1WTTObLJLKqmUN1QPWq7Pc+jvzeJ57rEElECwcCoZXq7+8nn8gSCAWrrR69DiJkkn82Tz+bRdJ14ZQyAbCpLPp1D1bTiuaiQL5BN5dB0jURVHBj73J7qTVHIFlBUhZo5NQBkBtLkUnlQoLKhEl3XSQ+kyQxkQFGorK8gGAySSWVI92dQ8JcLBALksnkGegYAqGmoxggYZNNZ0n3+sSJRkyAUCWEWTPq7/OUq6yoIBAOYeZPerj5/Wm0loXBwQn5S6FvSAACe4klEQVSmQgghxJWY1IDI9u3b+e3f/m1uvPFGbNvmD//wD9m2bRuHDh0iGh37hv306dPcf//9PPjgg3z961/nhRde4MMf/jB1dXW8613vmuBvMD24jkuyo5/dj+zk3N6TBCMh1j9wIws3LyNaFRu3zzHzJt0tXWz/92doP9lGoi7B1l+8ncxAhqMvH+G+33gLr/3naxx8fj+LNyxm87YbePEHL9By5Bzx6ji3vvN2NEVhx7/9lKalc9nytlvY/pOd5LJ53vyee3j+hz/jxN6TxCqj3PmLdxCLR3nq/z1O/YIGbn3X7ezasY/O81088Kv38cpjr3B81zFC0TC3/MItrLx5JTVNNXRf6Obgzw7y6uOvUMgVWH7Dcu5495386N8e58jeE7z5F+9i0bJmHv/ij4lXx7nzfXfTsLCRyvpKOlu7eOLbT/PyT3fxG3/4ISLRMD/850dpOd5KTWM1D3xwG/Xz6vnM//d3/PYf/lde3bGH5594CVVRuPcdd3Lv2+6ktrGG/t4B9ryyn69+6dssWjafB3/ngzz9o+08//hLuJ7H1ntv4Offcy9zFzQx0J/i8N6jfO2L36GzrZtlqxbxa//9l2heMo9wJDRuvzsxuXLpHG3HW9n+jefobeuhrrmeez7wJuoXNhAs83vuvdDD3qd2s/+51/E8jzV3rmPNnWv55t9/n7bT7bznd95JPBphx7e309/RR8OiRu7+5Xs4e/AsL/3oRSrqKrjtF+9gzvK5fPRDf8J/+/0Ponkree2JV9m/Yz8Aa+9Yxw1vuZHnv7Wd47uOcd+D92N6Dj/8ymP0dPTy8++7l9WbV/Djf32clhOtrN+6hje/9x62f2cHx3YfIxyPcPvbb2XNLaupbvSDGr1dfex8+jV+8h9PksvluenOTbzjQ/fTMK8eVVXp7enn3Mnz/NsXv8PZk+dpmtfArzz4TpatWUxtfc2E/U6EmAimadHZ0sWj//o4J14/SaI6wc9/4OdYuKKZp7/2FOcOniVaEWXrO26jec0Cvvf/fsyBVw4Tr4jxlve/mdWbl/P6Iy9xbu8pgpEQD/zx+8gn8zz/nR2c3HOCYCTETW+9ieU3rmTn957n2CvHCIQCbH3XbTSvWciO7+3g6MtHMIIGW7ZtYf1dG3j+hy+wd/s+9IDOjdtuYMu9m9n+yM949aldqJrGL3303TQ1N/DCIy+yb8frqIrC5jdt4ub7b+bYvhP8+J8fA+C2B27hpm038MJPXmLnf76C53lsuXsj9/ziXTTOr5/kn7wQQgjhU7wp1Li8q6uL+vp6tm/fzp133jnmMh//+Md55JFHOHz4cHHaQw89xL59+9i5c+cVfU4ymaSiooKBgQESicS4bPtU1nu+m+/+4VewC1bJ9OYNi3jTh39hXLJFPM/j5K7jfPNT/w4X/Und9LZb2HTfDXz1j/6Vga4BaubWcO8H38x3/+rbuK5bsuymN2+moiLOrh+/hKIqvPX3340D/OuffQXHckqWXX/HOhYvb2bHN54FReFtD7+TaGWMr/3ZV7Hypd916ZZlvPN33sm3/upbnDt0tmReMBLiN//mN/mzh/6KVH+aZesWc/+73sRP/v4RALb9159n3V3r+Pj7P0WyL8U7fv0tLF65iL/7/77MxbvPL/zqz3Pzthv4X//9r+nu6C2Z19TcwJ998eN841++z3e+5q/7O0/9P/78f/wNbec6SpatbajmU1/+BD/98Q6++g/fKpmnKAp//oVPcPOdm1EUpdyvZFqabfsmgFWw2P3Ea/znlx8bNe8XP/YeVt++BvWi7KKe1h7+48/+jd4LPSXT4zUJ7vvtt7LziVeYO6+eF777/Kh1vu1/vIPdT+7i/JEWAG59523c+NZbwPP46h/+K/0dfSXLV9ZX8qt/8V/Y8e3tZFyLx775UwCWrF7Em991F1/9y28AfmbWf/vTX+ern/wa1kXHmpU3ruC9D78HRVP4zMf/nkO7j5bMj8TCfObrn6SusZbnnniB//OJvxu13f/1o+/nF953H/HE9ctuE+XNxn1zIpw8cJq//u3P4zil58Kbt93I3Ll1JfvwqtvWEGms4Hv/9OPitE23r+e2Wzew6zvPs+rNG1n1pk380//8EmbOLFnfwnWLWHfHOp740k/QdI33/cn7+cZffINsKluy3Nxlc7n5F7byjb/6ZnFa0+Im7n7vXfzzp74GwP/+5p/wD//zS/R39Ze8t3ZuLb/56d/gD3/pUwD85p//F777xR/R0dJZslxVXSW///e/S+P8hqv8aYmxyL4phBBvzJSqITIw4KdZVleXT4/euXMn27ZtK5l233338dprr2FZVpl3zV5mrsDObzw7KhgCcG7faQYuuvm5VqnelB9AGCO+1nGmg4MvHGBgMI32prfewjNff3pUMARgz1O7ad6wCEVV8FyPVHeSp/7tqVHBEIDXn99P3aIG9IAOnkffhV6e/96OUcEQgBO7jtPf2Ufn2Y5R8wrZPM9+81ne/z/eDcDx/adw8IgNpiM/828/xcxbJPtSANz+lq3822e/NSoYAnDq8Bleeua1UcEQgLZzHez+2T727z4EwO9/8sPsen7fqGAIQHdHL88/sZMDew6Pmud5Hp/7sy/R0zk+vzsxudJ9aX76r0+OOe+xLzzqDzG7yIldx0YFQwBSPUla9p/hTe++i50/eGHMdT7zbz/l5gduLr7e+aMXicRDHPrZgVHBEID+zn4OPn+A299zJ49/++ni9G3vuYcffPnR4uvbH9jK9u9sHxUMATjy6lH6Ovtoa+kYFQwByKZzfOvLP6SzvYsv/uW/jrndX/uHb9PfOzDmPCGmo2Rfiq9/5pujgiEALz/5KvNXN6Nqw5dph184yJJVCzECw8m9e372OpGGCvSgwaa3beXprz01KhgCcGb/aUKxMOFEhFW3rWH307tHBUMAWo+34joOVQ1VxWltp9ooZPLUz6vjf/7d7/DqU7tGBUMAulu7OfTyYT7w+79E8/J5tJ/rHBUMAejr6ufFx1/GNO3L/oyEEEKI623KBEQ8z+Phhx/m9ttvZ+3atWWXa29vp6Gh9KlCQ0MDtm3T3d095nsKhQLJZLLk32xRyOQ5t+dk2fmnXhp9c3It8qkcqZ6xf67zVy/gwI4DxdcVtRV0n+8qu66O0+1UDI6XjlbFOHvkXNllzxw+S12zn3pb11zP8deOl1324IsHmbts7pjzjrx0mIXLmouv97x0gObV/mvbtEn3pgiE/ToHuWyBvjEuBgGWb1jKC0++UnYbtj/2IptuXAfAhi1rePGn5Zd94clXWLd51Zjzujt6SQ6MvlGebmbzvjkk1ZvEsca+Mcinc2QHSm9aBrr+f/buPDyuszz4//css6/aF8uy5H13YjuLszgJCVmhCQkF2rIVSElDKCTlDQT6/t6+bSF9oaVpGxIIbUmBEtKSEAJZsCGxszmL1zjeF8mStUsjzb7P+f0xkmxZi2V5pBlJ9+e6dF2esz5H1nNmzj33cz99HHht36jHO7b9CIqRHSo3klBvCJP1VM0OI2MQDUbZ/8box9z/+nsY6QxG5lQQ0OawEvCd+v9asKKeo7tHv9fsfe09utqHB3EGvPnSdgJ9QQL+0Ijrk4kknW2j3zdEbknfnHzRUJSWY62jrm86cpKSM2pgtR1pobq+asiy/bsOUzqvnHQixeF3Rn9PP7b7KHMWz6F25TwOvn1w1O2O7jjC/JX1Q5YdfPsQi9YswFvqZe9re0fdd9eWPSxcNZ+Faxbw7rb3Rt1u55bd9HVJUH8ipG8KIURuFUxA5J577uHdd9/liSeeOOu2Zw4TGPimfrThAw8++CAej2fwZ+7cueff4GlCURRUffT/Zt2SmzIyijr60I1MKo1u1sa1LYBu1gcf5hRl7O1106ltDcMY+1rNplEfEnWzPiRjxWTSyaROZaWomkY6kX2taaOfI1vkdfTfqdliIpVK9bcXTGbTqNuazDqpETJjBmhqwXTfCZvNfXPAmcV2z6Sc8f+s6hq6afS/Md2kc7aRVGf2KUVV0cY4pmbSh+9zxkkyGWPIt9lnMpn1MYd4mUw6qjr278I0RhtFbknfnHzqWe7hukknnRr6HqDp2rBlZrOJTCozuH6s42VSGdKpzJj3kJHOoZk00ukMisKY+5rMOgYG6VRmzP6qn+V+IEYnfXNyHNzyLs/8zX+x/6Xd+W5Kzu347Xb+42v/xo7fbs93U4QoSAXxRPXFL36RZ599lpdffpmampoxt62srKS9vX3Iss7OTnRdp6Rk5IJ7DzzwAH6/f/Cnubk5Z20vdFaXjcVXjp5xs+DSkTMQzpXdbads3shF0hrfbWD9TRcPvm471jaYfXEmVVUpqS4h0D+8JtDRx/JLRm9j3bJ5g8NgOo63sebqNaNuu/rKVTSNkm1ywfsuZM9b+wdfr7/yAhr2NgBgc9lweByk09kPiLpJZ84Z39AN2P/OQW748PtGbcONH7mOba/uAOA3v9jEdR+6atRtb/jw+9ixbc+I6+oWzsVdNP3HCs/mvjnAWezC6hy5cKqn3IvjjBo/riIXF96wbtTjLb1iBbFYYjCj6Uylc0oJdJ/6RlE36VhsFtbdsH7UY66/cT3JeBKT5VQAr7vDR+W8U9l6e9/cx6orRr/XrNm4hqra0WsGvP9DV+P2OqmoLhtxvdPtoLhMZpuZKtI3J5/dbWfp+sUjrlNUhZr51UOGximKQtWiObQ0tA3ZdukFi+hqbMdst7DmmgtGPd/CtYtoOtDEkbcPjvleuWzDcg7vPDxk2aorVrHvrQMc23eCS266ZJQ9YcPNl/Dab95k31v7Wf++taNud+UHLqOsunTU9WJ00jdzr3HHEV76/nMEOvvY8tgLHH87N9nTheDAmwd45qGn6W3z8cxDT3PgzeFDsYWY7fIaEDEMg3vuuYenn36al156ifr6+rPus2HDBjZv3jxk2aZNm1i/fj0m08jftlssFtxu95Cf2UI3m1j3octxlg6/5gtvvRRniSsn53F4ndx67x3DH8IUhdXXXsDcpbWDQZB3nn+bqz52DTbn8GlF3/+n17PvpWwQwOKwUDKvnCtvvwJX0fB2Xv/x6zj4+n6MjIHJambOslouuG4tnjLvsG0vv/0KbG47F147/ANaSXUJF99yCU/9W7bQ6cZbLqP3ZDfxSBxVU/nQvXdgcVqYtzj7LcxT//ZrPvuNT2A5Y+pARVF4/x9eQ/2SWhavWjDsPGsvX8OSlQv45Oc/AsCT//krFi6vZ/UlK4Ztu2TNIlZdtJyPfOa2Yd+iWe1WvvrgFykq8Qzbb7qZzX1zgKvYye33f2RYJohm0rn9f30Y1wh9tGpRNQvWLhy2vHrxHBylLn79+AvccOfNw7I6TBYT13/mRrY9k60voigKH/zirQT8QepW1lG3avg9eN7KOuYum8fmH23iU/d+bPDv8YUnfseH//xWzP3Db97+3XYuuvEivCP0v2s+ejWu4myw4+aPXjf8emoruOWPrqd6biVfffCeYdPwqprK/d+8h7JKCYhMFembk8/hsvPH934E5wiFzT905wd49+WhAfErP3Y1b2x6e8jQtT/45I207WnAyBi88ODPueLDV1JUWXTm4Vh/88W0Hj5JKp7k+O7jLLxgAeXzhgcoV1+9hp52H5FgdHDZqitWEugNEuwN8qO//TFLL1pM3Yq6YfsuWbeYuUvm8vv/fpnu1h5URWXlCF9ozF9Rx6oNw9/3xPhI38wtI2Ow7YktlM2v5H133ULFwmq2/ezlEevcTTeZdIZN//4CcxbP4UP33cGcxTVs+vcXZ8S1CZFLeZ1l5u677+ZnP/sZv/rVr1iyZMngco/Hg82WfVh+4IEHaGlp4cc/zlY3b2hoYOXKlXz+85/nzjvvZNu2bdx111088cQT4552dzZW5A52+zn53gmOvXkAq8vOyuvX4q0sxuoaHpSYqEw6g78rW4Cx6b1GiqtLuOC6C2k60MSJ9xq56o/fR1dTJ7t/txNPuYf1N13CkR2HOb77GN5yL+tuvIjuxg6ObDvA3FV11K9dyMvPvEYinuTaOzZybO9xDrx1MDtF7wc24G/z8d7Wd5mzuIZlV6zgjRffJtAT5LqPXs3JwyfZ9/o+7E4bF99yCZ4yz+C0u73tvbz9wtskInGWX76CupX1/Pq/NhEJhrnu9qswUhm2P/cWpXNKWXfDetylHuwuO77OXo68d5ytv36dy264hPlLa3njt29zfP8JyqpLuOa2KwlHIvzPj37Nxz57K35fkN89sxVVU7nxw9dSt3guRaVewqEIbSc7ePqJ54iGonzuLz5O8/EWXn72NTKZDFfdcjnzl86juraSWDRGe0sXz/3PZpobWli1bhnX3HwlFdWlZx1qMR3Nxr4J2foY/o4+dm3aQeeJDqoX1bDm2gvwlHvQ9JHTzn2tPrqaO9i9aRdGJsOa6y6kaE4JL/7sdwR8QTbeejkVc8rY8dt36GnpYe7SuazcuJrG9xo48MZ+vOVe1t90MVaXle/+9Q9YfsFibvzg1bQ3drD7dzvBMLjg/WuprK/kjadfp7ejl/UfuBhHkYvf/3IrnS1drLvqAlasW8rbv9vB8X2N1C2t5fKbLuHIrqPs27Yfu8vOZR+8lJLqUryl2QCevzdAa2M7z//3ZiKhKFfeuIGV65dSWpHN8IvH47Sf7GTTs1s5dqCBmrpqbr7jOirmlOFw2qfs/0QMNVv75lTobuthz2t72ffWAYrKvFx9+5XYHTYObtvPsd3HcHicXPyBi7G7Hex5cx87XtmNp9jNdR++Gm+Jm479zRx76yBWl50Nf3w10Uichj3HObBtP1aHlYtuvhhPmYfGdxs4+MZ+zDYL62+5GGexi4b3Gnjv1fcwWUxcdNNFlFSX0LDvBLte3oVu0rn05ksoqynj+MFG3v7tdjRd45o/vJLS8hJajrZmp+JVFC6+8SIq6yppb+zglV+/DobBZTdfypwF1bQ2tvHqb7aRSWfYcMPF1C2tpbxm5Ewwce6kb56fk3sbefabT3D5J6+jdF45vpPdvPqjTXzgax+h9oLhX25NJ0d3HuE/v/EjbvnzD1BRV0lHYwfPPfprPvV3f8rCdYvy3TwhCkZeAyKjjR/90Y9+xKc//WkAPv3pT9PY2MiWLVsG12/dupV7772Xffv2UV1dzVe/+lXuuuuucZ93Nr95pBJJVE0bc6z/+TIMg1QihaZnz5NOp8mkMoPp9vFIDFCw2C2D26q6iqZppJMpkokUZpsZVVWJx+JgMJiNEYvE0EwaJpOJZDxJPBrH5rKhaRrRcJRMxsDhyj40hQPhweEAZ4pGYmRSaRz9U3jGwjFUXcVsMZNKpUhEs0MO9BEeRpOJJIqiZMd3p9NEwjGsVgsmc3a8dyqdxtL/DXcykQSUEeuKpNNpUskUZosZRVEIh8IYhoLTNfyh78xtZ6rZ3DchG1RMp9LoJm1YxshoYuEoBmBzZIObiUSCVCKFvT94kIwnScQTWB1WNE0jlUoRDUWx2KyY+/tkNJztV+b+mjbRUAQjk03ph+xsValUGrvr1DGjkRh2lw1dz/aDaDiGpb8fZNvV31dHqZOTSqXIpI3BNpwpnU4Ti8QwWy1SO6QAzPa+ORWS8eTge+GA09/zBiTiSTRdG1LPaqT39rA/hGbSsdpPDcmLBCOomjpkWcgfQjNp2OynviAJBcNoqjp4XwGIhPr3tQ09nqEYOJynslyikRgYxpB9o+Fsxsnpy0RuSN88Py8/9jxNu45x7Rc+iKIoGIbBS99/jjnLa7n27g/mu3nn5ZfffYqju45wx1f+cPDanvqH/2HhhYv40H3j+xJZiNkgr58yxxOLefzxx4ctu+qqq9i5c+cktGjm08co4pkriqIMqTWgadqQD3iW0z6IDdvWpA8p7mixDg1mnP4hzmQxDdn3zA9aA8GOkdjsQ2s2WB2nXuu6ju4aq2jc0GtznXYeTdeGFLUbq2jqmb+X0z9Qnm1bMTOpmnrOwUrrGX/3ZrMZs/nUkJMz+4mu67i8Q4fh2BxD+4PtjEwMs83C6YNYzjympmk4z+hvVsfIdVFOb8dY70CapuFwjd4nhJhpTCMEB6324f1opCDiSO/tDo9z2DL7CAF35wjbOUfoe/YRMrRGOt6Z768ggRBRmIyMQcPbh5m7un7wyyZFUaheVkvD9iNkMpmzFj8uVJl0hgNv7mfR+sVDrq1uVT37t+3j1vSHJvXLUSGmE+kJQgghhBBCiFml+0QHsVCU8oVDC+VXLKgiEYnTdaxtlD0LX+vRVqLBKDVLhs5CVLNkLrFQjNajo0/5LcRsIwERIYQQQgghxKxycm8jmkmnuGbojEfeOSXoFhPNexvz07AcOLb7KCarifLaoTNAlteWY7KaOLbraJ5aJkThkYCIEEIIIYQQYlZpPdhM8dxS1DOGJKuqSsncMtoPncxTy85f074TlNdWDBsWo2oq5bUVnNjXmJ+GCVGAJCAihBBCCCGEmDUMw6DjcAtFc0pHXF9UU0r7kZYh01xPF5lMhuYDTZTPKx9xfXltOScPNsv0u0L0k4CIEEIIIYQQYtbwt/cSC0WHDZcZUFxTSiISp7e1Z4pbdv56WnuIhqLDhssMKJ9XTjQUpaele4pbJkRhkoCIEEIIIYQQYtboamgHwFtdPOJ6b1XxkO2mk9YjLQCUjhLsGVguhVWFyJKAiBBCCCGEEGLW6G7owOZxYBlhmmgAk9WMo8hJ9zQMiLQdbcVV7Br12ix2K65iF20SEBECkICIEEIIIYQQYhbpamzHU1E05jaeyiI6p2FApPVoC8XVJWNuU1xVLBkiQvSTgIgQQgghhBBi1ug+0YmnwjvmNu6KInxNnRjG9CmsahgG7Q3tFFeNPBRoQEl1Ke3H26bVtQkxWSQgIoQQQgghhJgVooEIsUAEd7l3zO3c5V7i4TiR3tDUNCwHQr0hosEoRZVjB0S8lUVEQ1FC0+jahJgsEhARQgghhBBCzAq+5i4AXOWeMbdzl2XX9/RvPx10nugAoKhy7OFARf3DhQa2F2I2k4CIEEIIIYQQYlbwNXehaiqOYteY29mLnGgmHd/J6TM9bUdjB5pJw3WWa3OVuNB0jY5GCYgIIQERIYQQQgghxKzga+nGWepGVcd+DFIUBVepm76Wnilq2fnrPtmFp8x71mtTVRVPuZeu5s4papkQhUsCIkIIIYQQQohZoa/Vh/MsGRQDnCUuelumT4ZIV1MnntKxhwIN8JS66Z5Gw4GEmCwSEBFCCCGEEELMCr0tPThL3OPa1lniprd1+mSIdJ3swlM2zoBImZfuaTQcSIjJIgERIYQQQgghxIyXiMaJ9IXOKSASC0aJBSOT3LLzFw1FCfeF8Zxl9pwBnjIPob4QsXBschsmRIGTgIgQQgghhBBixutr8wHgLB1/QASgr7130tqUKz39tU7GPWSmzAtk644IMZtJQEQIIYQQQggx4/n7AxuOovHVEHEUO4fsV8h8bdmAiHuc2S8D2/n6g0RCzFYSEBFCCCGEEELMeP6OXsx2C2abeVzb62YTVpcNf3vhBw16WrqxOm3jvjazzYzVaaNnGtVIEWIySEBECCGEEEIIMeP523pxjHOGmQGOIue0yBDpafONOztkgLvELQERMetJQEQIIYQQQggx4/nbfTi8znPax17kGqw9Ush6WronFhCRmWbELCcBESGEEEIIIcSM5+/ow150bgERR5GTQGff5DQoh3rbfLhKzi37xVXioncaDAcSYjJJQEQIIYQQQggxoyXjSaL+MI5zDYh4ncRDMRKR+CS17PwlYgnC/jCucxwO5Cp2EfaHScQSk9QyIQqfBESEEEIIIYQQM1qwyw+A/ZyHzGS3D3T15bpJOTOQ5TGRgMjp+wsxG0lARAghhBBCCDGjBToGptw99yEz2f37ct2knPH1F311FZ9bDZGBgIhvGhSNFWKySEBECCGEEEIIMaMFuvyomorVZTun/cx2C7pZL+g6Ir1tPjSThu0cr83mtKOZNPokQ0TMYhIQEUIIIYQQQsxowc4+7F4niqKc036KomD3OgeH3BSivo5eXEWuc782VcFV5MInARExi0lARAghhBBCCDGjBbr82L2OCe1r89gLu4ZIR+85Tyc8wOF10lfAw4GEmGwSEBFCCCGEEELMaMEuPza3fUL72j0OAp2FmyHS29GLq3hiARFnkZO+DqkhImYvCYgIIYQQQgghZrRgl/+cZ5gZYPc6CXUHMAwjx63KDX9nH86ic5thZoCzyEVfAddHEWKySUBECCGEEEIIMWMlonHi4Rh2z8SGzNg9DpKxBPFwLMctO3/RUJRYOIbzHGfPGeAqchILx4gV4LUJMRUkICKEEEIIIYSYsYLdAQBsE60h0r9fIRZW9ffXNnFOMPtlIJDS1ynDZsTsJAERIYQQQgghxIwV6s4GMiaaITJQeyTUE8hZm3LF31/bZKIZIgP7+Qu4RooQk0kCIkIIIYQQQogZK9gdQFEVrE7rhPa3OKyoujaYaVJI+jp7UTUVm3NiBWNtTjuqptJXwLPoCDGZJCAihBBCCCGEmLFCPUFsbjuKOrFHH0VRsHnshAoyIOLH6XWiqMqE9ldUBYfXiV8Kq4pZSgIiQgghhBBCiBkr1D3xKXcH2NyOgswQ8Xf14ZhgbZQBDo9DMkTErCUBESGEEEIIIcSMFewO5CAgYidYgEGDvs6+CddGGeDwOmTqXTFrSUBECCGEEEIIMWMFu/1Y3ecXNLC57YR6gjlqUe70dfZNeIaZAQ6PQ4bMiFlLAiJCCCGEEEKIGcnIGER6QznJEIn4Q6RT6Ry17Pyl02lCviCO88wQcXqdBH1BMulMjlomxPSR14DIK6+8wgc/+EGqq6tRFIVnnnlmzO23bNmCoijDfg4ePDg1DRZCCCGEEEJMGxF/mEw6k5OACAZEekM5atn5C/mCGIaBIwcZIkbGIOgrvAwYISZbXgMi4XCYNWvW8PDDD5/TfocOHaKtrW3wZ9GiRZPUQiGEEEIIIcR0FfJlC6HmJCAChHoKp7Cqv8sPgMNzftc2UJQ10O0/7zYJMd3o+Tz5TTfdxE033XTO+5WXl+P1enPfICGEEEIIIcSMMVD3w3aeQQNb/7CUUAFlUfi7BwIi558hMnC8uefdKiGml2lZQ+TCCy+kqqqKa6+9lpdffjnfzRFCCCGEEEIUoFB3AE3XMNss53Uck8WEbjEVVIZIoMuPbjZhtpnP6zhmmwXdrA9mnAgxm+Q1Q+RcVVVV8dhjj7Fu3Tri8Tg/+clPuPbaa9myZQsbN24cdb94PE48Hh98HQgUzo1MiNlM+qYQhUn6phCFSfrmuQv7glg9dhRFOe9j2T2Ogpppxt8dwOl1nPe1KYqCw+uUITNiVppWGSJLlizhzjvvZO3atWzYsIFHHnmEW265hX/4h38Yc78HH3wQj8cz+DN3riSDCVEIpG8KUZikbwpRmKRvnruQL4DNdX7DZQZYXTbCBTRkJtDtx36eM8wMcLjtg0NwhJhNplVAZCSXXnopR44cGXObBx54AL/fP/jT3Nw8Ra0TQoxF+qYQhUn6phCFSfrmuQv1BLG6bDk5ltVlL6ghM/4uP47zLBY7wO52yJAZMStNqyEzI9m1axdVVVVjbmOxWLBYzm/coBAi96RvClGYpG8KUZikb567UE+AqsU1OTmWzW2ju7E9J8fKBX+3n5I5JTk5lt1jp7OpIyfHEmI6yWtAJBQKcfTo0cHXDQ0N7N69m+LiYmpra3nggQdoaWnhxz/+MQAPPfQQdXV1rFixgkQiwU9/+lOeeuopnnrqqXxdghBCCCGEEKIAGRmDSG8Ia46yKGxuOxF/mHQqjaZrOTnmRKXTaUK9wcEZYs6Xw+Mg6AuSSWdQtWk/iECIcctrQGT79u1cc801g6/vu+8+AD71qU/x+OOP09bWRlNT0+D6RCLBV77yFVpaWrDZbKxYsYLnnnuOm2++ecrbLoQQQgghhChc0WCETDqDLUcBEavLDgZE+kK4Sj05OeZEhXtDGBkjdzVEPA6MjEHYH8JV7M7JMYWYDvIaELn66qsxDGPU9Y8//viQ1/fffz/333//JLdKCCGEEEIIMd0NFEDNXQ0R2+Bx8x0QCfTXMsllhgiAvysgARExq0g+lBBCCCGEEGLGGZgiN1ezzAxkmoR9oZwc73wMzAhjz1VR1f6ASKCAisYKMRUkICKEEEIIIYSYccK+IIqqYHHkphCtyWpG0zVCBTD1brA7gKqrWB3WnBzPareiairBHplpRswuEwqIfOMb32Dz5s1EIpFct0cIIYQQQgghzlu4NzvlrqLm5jtgRVGwuu2Ee/MfEAn0BHC4HSiKkpPjKaqC3e2QDBEx60zo7rBjxw7uuOMOioqK2LBhAw888AAvvvgioVD+08eEEEIIIYQQIuwLZguh5pDVZSPcUxgBkVwVVB1gd9sJdEtARMwuEwqIvPjii/T29rJlyxZuvfVWdu3axUc/+lGKi4u59NJLc91GIYQQQgghhDgnIV8QqzM3BVUHWJ22ghgyE+j2Y89xsCcbEJEhM2J2mfAsM5qmsWHDBoqLiykqKsLlcvHMM89w7NixXLZPCCGEEEIIIc5Z2BfEW12S02Pa3HY6j7Xl9JgT4e8OULWgKqfHdHgcdDS25/SYQhS6CWWIPProo3zsYx+jqqqKK6+8kk2bNnHllVeyY8cOurq6ct1GIYQQQgghhDgnYV8oZzPMDLC6bIT7QhiGkdPjnquQL4jDPQlDZqSGiJhlJpQh8oUvfIGysjL+8i//krvuugu3W+aqFkIIIYQQQhSGZCxBIhrH6sr9kJl0IkU8HMv5cJzxioVjJGKJnE25O8DucZCIJohH4ljsuZmZR4hCN6EMkaeffpo/+ZM/4ec//znl5eVccsklfPWrX+WFF16QwqpCCCGEEEKIvAr3Zp9JrDkOGgwcb+D4+TCQxTEZRVUBAj7JEhGzx4QyRG677TZuu+02APx+P6+++iq/+MUvuPXWW1EUhXg8nss2CiGEEEIIIcS4hfsLn+Y6i8PWn3ES9gUpmVuW02OPV3AgIJLjYI+j/3jB7gBlNfm5NiGm2oSLqvp8PrZu3cqWLVvYsmUL7733HiUlJVx11VW5bJ8QQgghhBBCnJOBDA6bO7cBEUt/gKUgMkRyPWSmvyaJZIiI2WRCAZHVq1ezf/9+iouL2bhxI3feeSdXX301K1euzHX7hBBCCCGEEOKchHuD6BYTutmU0+NquobZYRnMQMmHQE8Ai92Cbprwd9sj0s06ZpuFQLcERMTsMaFe9Gd/9mcSABFCCCGEEEIUpMmYYWaAzWUn3Ju/gEiwJzCYzZFrDredoGSIiFlkQgGRe+65B4BEIkFDQwMLFixA13MboRRCCCGEEEKIiQj3hrC4rJNybIvTltchM0FfEHuOhwINsLntBHvyF+wRYqpNaJaZaDTKZz/7Wex2OytWrKCpqQmAv/iLv+Dv//7vc9pAIYQQQgghhDgX4d7gpE2La3PZ8jpkxt/tn7QMEbvbjr/bPynHFqIQTSgg8rWvfY09e/awZcsWrNZTkdfrrruOJ598MmeNE0IIIYQQQohzFfYFsU7SkBlrvjNEegI5L6g6wO62D85iI8RsMKFxLs888wxPPvkkl156KYqiDC5fvnw5x44dy1njhBBCCCGEEOJcGIZBpC+E1TU5GSJWl42oP0wmk0FVJ/T98oRlMhlCvaHJDYj4ghiGMeQ5T4iZakI9uKuri/Ly8mHLw+GwdBwhhBBCCCFE3sTDMdLJNLZJGjJjddkxMgbRvvCkHH8sEX+YTDozqQGRTDpDxD/11yZEPkwoIHLRRRfx3HPPDb4eCIL88Ic/ZMOGDblpmRBCCCGEEEKco4HhLJOZIQIQ7pv6YTOB/oKnk1dDxNF/Hhk2I2aHCQ2ZefDBB7nxxhvZv38/qVSKf/7nf2bfvn1s27aNrVu35rqNQgghhBBCCDEuAwVPJ62GSH9AJJKHOiIDU+JOZoZI9jxBqhZMyimEKCgTyhC57LLLeP3114lEIixYsIBNmzZRUVHBtm3bWLduXa7bKIQQQgghhBDjMhCosDgnadpduwVFVfJSWDXYE0RRlEkbDmR3nQqICDEbTChDBGDVqlX853/+Zy7bIoQQQgghhBDnJdwbwuywoOnapBxfUdXsTDN5CBoEevzYXDZUbXKKuaqais1lkyEzYtaYcEAkk8lw9OhROjs7yWQyQ9Zt3LjxvBsmhBBCCCGEEOcq3BvE5pycISUDrK78TL0b7AlO2nCZATL1rphNJhQQefPNN/njP/5jTpw4gWEYQ9YpikI6nc5J44QQQgghhBDiXIR7Q5M2XGaAxWEj3JuPDJEAtkmqjTLA5rIP1ioRYqabUEDkrrvuYv369Tz33HNUVVXJVLtCCCGEEEKIghD2BbFOUo2NAVaXjUBn36SeYySBngCeUs+knsPusuPvloCImB0mFBA5cuQIv/jFL1i4cGGu2yOEEEIIIYQQExbuDeGtKp7Uc1hdNtoPn5zUc4wk6AtQtaBqUs9h99hpO9Y6qecQolBMqBrPJZdcwtGjR3PdFiGEEEIIIYSYMCNjEPGHJ23K3QFWl41YMEo6NXWlAtKpNGF/GIfbMannsbsdhHpDZNKZs28sxDQ3oQyRL37xi/zlX/4l7e3trFq1CpPJNGT96tWrc9I4IYQQQgghhBivaDCCkc5gdU3ukBlb//EjfSFckzyEZUCoNwQG2KagqKphGIT9IVzF7kk9lxD5NqGAyB133AHAZz7zmcFliqJgGIYUVRVCCCGEEELkRaR/5pfJDohY+2exCfuCUxYQGSh0OhWzzAAEeoISEBEz3oQCIg0NDbluhxBCCCGEEEKcl4GZX6aiqGr2fFM39W6gJ3ttUxUQCfYEYNGcST2XEPk2oYDIvHnzxrXdLbfcwr/9279RVTW5hX+EEEIIIYQQItwbAoVJn3bXZDOj6hph39RNvRv0BVA1Fat9cq/N6rCiqIpMvStmhQkVVR2vV155hWg0OpmnEEIIIYQQQgggO4TF4rCiqpP6mIOiKFhdNsJ94Uk9z+mCPQHsbjuKqkzqeVRVxe6yE5Cpd8UsMLl3CiGEEEIIIYSYIuHeELZJnmFmgNVpI9I7hRkiPcFJHy4zwO62E5zCaxMiXyQgIoQQQgghhJgRwr1BLJNcP2SA1Wkj1DN1QQN/j3/Kgj02l51Aj2SIiJlPAiJCCCGEEEKIGSHsC036DDMDrC7bYBHXqTAwZGYq2N12gjJkRswCEhARQgghhBBCzAjh3tCkzzAzwOqyEemdyhoiQexux5Scy+62E5zCgrFC5IsERIQQQgghhBDTXiadIRoIT12GiNNGIhonGUtM+rmSiSTRUHRKM0TC/jDpVHpKzidEvkxqQOTrX/86xcXFk3kKIYQQQgghhCDSFwKDqQuI9Acnwr2hST9XsL9WiX2Krm0g8CJZImKmm1BA5D//8z957rnnBl/ff//9eL1eLrvsMk6cODG4/IEHHsDr9Z53I4UQQgghhBBiLAOBiamcZeb0806mYH+BU7tn6obMnH5eIWYqfSI7fetb3+LRRx8FYNu2bTz88MM89NBD/OY3v+Hee+/l6aefHtdxXnnlFb7zne+wY8cO2tra+OUvf8ltt9025j5bt27lvvvuY9++fVRXV3P//fdz1113TeQyZpVEKEKsL0RfQyuOihJsxS5C7T2EO3opWlCN2WkneLKDdCyBq7YSVddpebcB3WKibMlcbG47utVMKpEk3Bui9UAz0VCY+euWkIzGaX63AYvTSs2KOkJdfrqOtVKzdiEms07n4RYivSHKF8/BUeqh82ATyUicyhXzQFHZ/+p71K9fhNVuof1wC8EuP/PWLkQ3aTTuPoaiKMxfv5iYP0zbgSYcxS4qFtcQ6Oqj40gr5fOr8FQV0XawmXggypxVdagmnYadRyidW4a3qoSeEx30nuxm3rqFKJrGiXePk4jEqV09H7vbztHthzFZTNQsn0csHOPE3gZK55ZRVltGd1MX/jYfNSvqcJd7cHid+f7vFNNMMhYnEYjQc/QkmWSaksU1WNwOzI7sB6lMJkOws4+uhnZ6W3qoWDKHkqoSoj1+Aic7sHpdeGorSacztO0+islqpmJVHUYyTd/xk2CAd8EcFF2ndW8jsVCUqpV1mGwWuhvaCbT5KFtYjbuiiGBHH13HW3GVeymbX0UilqB51zEsDivVK+ahaCpN2w8DUL2qHt1m4fj2w8RCUWpX1WP3Omg70oKvpYeqRXMori4h5AvSdriF4poSyuZVEA1EaD3QhM1lp3p5LY4iJ7rZlM//AiFyJtLtJ9zlI9Tag73Ug7umHFSFaFcvofYerEVuXHPKSGXA39JD9/E2XOVeKhbXkDEyhDr66DrWirPUQ+nCanSrme4THbQePImr1E310lo0k0Zfey8t+5twFjupWT4P3awT6OzL9i2PgznL52GymvD3BDjxbiN2j515q+oxW0wEewI07W3E6rJRu7IOZ5ETk9Wc71+dEJNuIDAxlUVVgSmZendgxhfHlNUQyZ4n4JOAiJjZJhQQaW5uZuHChQA888wzfPjDH+bP/uzPuPzyy7n66qvHfZxwOMyaNWv40z/9U+64446zbt/Q0MDNN9/MnXfeyU9/+lNef/117r77bsrKysa1/2wVD4Q5+NTL9DW04qmtxDu/mt3/9izJSIzy1QuJdFg59OQmMIzBfVzzqvAsnc+2H74ACqz9o/dRfcFCWvY3semhX2JkDO7420+y4xevcuzNg1gcVq695w/4/T89RajLz0V/fA2xvhCbH/0NmdPGHhbNLeOKuz7A77/9JO/+8jUWX7uWxRuWEgtG+cXfPUEqnmTdhy7j0Kt72f38O6i6ygf/1x+y9dFf4zvROXgcVVO5/DM30HmklV2/fANnqZuNn72Rnf/zCjufepXatQuZf/kK7B4Hv/rrnxIPRdnwyetoOXiSl/79Rei/1G1PvkLtmvls/MS1PH7vD0CBqz5xHT0t3bz8499hc9m47b47eHfzLl796UvMWV7LLffejrPYNWX/f2J6S0ZiNL+5n6MvvnVq4XNQvW4Ji26+FIvLTndjB7/+1pPEQ1HsXgdLr1jB/p/9lkh33+Auqklj+ceuJ+ILUL1mAV27D9Pxzr7B9S2v7qR4+QJwuWjefoiiueVs/s4vSEbjmGwWKhbP4eV//iWhzlPH1C0mNnz2Rk7sPILvRCeKonDZZ25A1TV2PLmVXU+9xuJr1rDwqtX8+L7H2PbkK9Qsr2XNTRfxxn+/kg3EVBbx/s/fwvZfbeP6uz/A7773azoOtwyeQ1EVrv/Sh6i9YD4miwRFxPQW6vDx3k9eIB7IFlHUbRaWf/Q6Tvz2DeL+U98QaxYTdTdfyc5fvELfyW6cpW6u+8sPs/V7zxJo853azqxz1T23Euzy8/YvXs0uM2lcf8+t7Hr+bVoONGeX6Ro33PMHHNr6Li3vZTNxVU3l2nv+gJNHW3j151sBUFSVD3zxD2jccZQjbx3sX6Zw81/cxqJLl2KWoIiY4SK9QVRNxWy3TMn5TBYTusVEyDcFGSK+ALpZx2SdmvdSi92Cqqsy04yY8SY0ZMbpdNLT0wPApk2buO666wCwWq1Eo9FxH+emm27i7/7u77j99tvHtf33v/99amtreeihh1i2bBmf+9zn+MxnPsM//MM/nPtFzBKZdIa27Qfoa2gFoP76iznwPy+RjMRQVIWKNQtpfvmdIcEQgOCJNlJ9AUoXzQEDdj7xEpG+EJv+KRsMmbduEb0nuzn2ZvYD1/JrL2Df828R6vIDUL2yjlfPCIYA9DZ38d5v3uKST18PwOHf7yQdjbPlhy+QiiexumwU1ZSy+/l3AFh06XKath8eEgwZuK7X/+O3rLpxHQCh7gA7n3mDpe+7EICmnUdxeJ38/l+fJR6Kopp1yhZU8dK/nQqGDGjac5zjO46w5sZ1YMDWH/+O5ZevQNU1osEozz/6G9bftgGAlv1N7H5xuxSYEuMW6Q4MDYb0a91xCN+xFgIdvbz43aeJh7L3zis+eR2Nv39nSDAEIJNMc+C/f8fCay7EbDMNCYYM8O0/hsNlZdWtl7Pt8U0ko3EAFl+9mv0vbh8SDAFIxZO89Z+bWfOBSwAwDIPX/+NFKpfWoqrZt4fDL+8h2hukdnU9ACf3N9F+pIW6NfMB6Gvv5a1fvs6Vn7yW1v1NQ4IhAEbGYNNDv5zSaQmFmAyRngCHn9k6GAwBmHPJclrf2D0kGAKQjic58ds3uOAPLgXg8jtvYucvXhkSDAFIJ1K88r1nmbui7tSyZJrN33uWdX+w4dSyVJrfPvwsq2+6aHBZJp3h9w8/y8orVw0uMzIZfvOvv2L19WtBGVhm8Nw//1IeasSsEO7NTrmrKMqUndPmsk9Nhkh3AIfHMWXXpigKDreDgNQQETPchAIi73//+/nc5z7H5z73OQ4fPswtt9wCwL59+6irq8tl+4bYtm0b119//ZBlN9xwA9u3byeZTI66XzweJxAIDPmZLRKhCC1vvjdkWaw/9c0zr4rAidZR9+3Zd5S6S5YC4K0pp3HHUYz+wMmq69fy3qYdg9uWL6ym49BJAOouWUrX0dZhwZABJ945hKPEM/j68O93Ubsq+7BVt34Rh1479aC38OIlNPR/y3WmTDqDv82HpypbuLf90ElK6ytPXXskTrA/QLPy/Ws5+NrwB8gB7/52ByuuWj34umHXMepW1QHg7+zD7j2Vnrj7hXeI+KduirWZbKb3zUwqzYnX3x11fePW3USDUUKnPaiU1ZbhO9w04vbpeJJMKkXnrkOjHrP3wHHsRU6ip/2Nli+aQ8fB5hG3T4RjGBnjVDq9AY07DrPwqlMPWQc37+Kyj24cfL3vpT0su3Ll4OumdxuoXFDFoVf2jngOwzBo2nVs1DaLwjPT++ZEpOMJgi1dQ5a55pQTOtk54vapSAyzRUcz6VgcNlr3NIy8XTxJoK2HurULTy1LpAj7AjhL3KfOn0rja+3BU1k0uCyTztCy7wRLNywfXGZkDJr3N1G5oPrUSQw49Mb+c7peUZikb44t7AtimaIpdwdYXLYpqSES8AWmrDbKAJvLLjVExIw3oYDI9773PTZs2EBXVxdPPfUUJSUlAOzYsYM/+qM/ymkDT9fe3k5FRcWQZRUVFaRSKbq7u0fd78EHH8Tj8Qz+zJ07d9LaWHAMSA1MBaZmv2UeoFnNJCOxUXdNReKYbNmHJJPNnK3c3U8368SCp7KBMulTx3WUuIc8jJ0pk0oP2T4ejGJxZFMbzTYL0UBkcJ2iKqSTo2djxAIRzLZTaZEDmRuKqgyZAs3mto/5DXU0GEE3nxpBFg1EsNitg6+TsSSqlu0uiUgcI50Z9Vhi/GZ63zQyGRLByKjr0/EUif4sjgGZdHpYxtaQ9ckUqbH6bTSGkRn695k5y99rIhxHPy2VPtIbxnraGOVYMIJuOtU/YqHosHoEhgHJ6OjTDobkG6ZpZab3zYnIpFLDlhnpsbMF0/EEulknnUwPfqEwkqg/QlF1ydBlgSiWM9L+o/7IsKEAkb4QjqKhNQXC/vCwfYPd/jHbKqYH6ZtjC/tCg4VOp4rVaZ2S97hAd2DKptwdYHfbCci9Q8xwEwqIeL1eHn74YX71q19x4403Di7/v//3//KNb3wjZ40byZlpYgMfMMZKH3vggQfw+/2DP83NI39TOhNpZh3XnLLsiwyYHFZQs7+rcIcPV3X5qPs655TR15wNNAXafdSsrBtc19fmo3JJzeDrTMbA1B+YaNpxhLKFc0Y/bpkHRT31p1exrJauE9lv3XqaOqlaeuq4IV8Q92nfhp2peF4F/vZsCvJA8Aay35DZTksrPLm3kboLFox6nOolcwl0+U97XUNHYzuQDa5YHNbBh8ry+sohD49i4mZ631RNOmXL5o263lNbjrPYNeT+ZaBgGuPDnMlhw1VbOep6R3U5iqYNWZZJpTE7rKPsAY5SN7HThwGsnEfbvsbB1xVLauhp7Rl8XbloDj3Np74ptzispJNpSuuGBqxPN7c/C0xMDzO9b06EbrOimoaWXjOMbL2Q0ZicDuKRGJpJG5yecyTF88o5sm1oFmNJbRn+M4a5lddX4G/vHbKselktjXuOD1k2Z0nNkD4KMH/94lHPL6YP6ZtjC/mCU1ZQdYDVZSc8JQERf34CIpIhIma4CQVEAF599VU+/vGPc9lll9HSkh0z/pOf/ITXXnstZ407U2VlJe3t7UOWdXZ2ouv6YJbKSCwWC263e8jPbGGyW1lw44bBscTB1i6q1maHwcR8ATSbFYtnhFlTFIWytcs5/lp2uI2qaRTPLaOoJvt7fvOJrVzwwUvRTNkHr0Nb97K8v55HsKMXq9tGSf3ID20X3H4Fjf0f/Ew2C3WXLhvMGGnZd4LaVfVYnNmHt3c37WDVLZeMeJzi2nLikRiJSPYb9lU3XcTRgfbqGma7hcVXZ9P+W95rpLy+EneZZ9hxFFXhso9dxdaf/B4Ad5kHR7ELX0v2AXDVNWto3HGkf2O4+k+vn/I3pJlqpvdNRVEoXzk/G4g8g6pr1L9vLVaXjSWnDU/Zu3kX865ZN+LxPPXVRP1hSpbVo40QlFNNOt7FdZzccYR5pz38HH11L8uuH/mY1avq6G5ox8hkg8uuci+eqmK6jmaH05msZhZfcwGbHvl1/0XB+ts2sGfzzsFjXHzbZex64W0u7K+XcKaimhKKa0pHXCcK00zvmxOh2y3UXLZ6yLL2XYeoXL9ixO29i2ppPdgMBjTvPsbq2y4fcbuKJXPRbWZCPaeyMCsXzyHYHSAVPzUcuHx+JfFwfPA9D6C4tgyz00ZPy6mAZUlNKbquETothd9bWUTlgqpzu2BRkKRvji3cF8zDsBIbkd7QmFlg58swDII9wSmbYWaAw+Mg2CMZnmJmm1BA5KmnnuKGG27AZrOxc+dO4vHsm3MwGORb3/pWTht4ug0bNrB58+YhyzZt2sT69esxmWT2gtE4q0pY8+kPYC8v4vCzr1C5dgl171uPbrNw9Pk3qLvhMoqX1qH0Z47Yy4tZ8AdXc+SVvSQiMWrWLuKqe+/AXe7lA1/7GEuvXk0iGmf/S7u55esfo3xhNSffbSCdMrjoT96HvcjJS//8Sy6/8yYWXrkSrf8bNVe5lyvu+gBmp5VDv9tJxdJarr7vDl7971e46nM3surGdehmE2/85PfcfO8dzLtgPr6Wbk4eaGbjXbcMZopoJp3FV61m7Yev5K0ntmAvcnLZJ69F11VO7jlO2fwq3vfFW9nyo00svXoN6+64AovTyiuPPc9tX/8Yiy5dNnitZfWV3P6//4Tju4/R1+ZjyWXLueELH2TTY89jddq48mNXU7+ynj2bdlAyt4wP/5+PUz5fPlSK8bMVubj47g9RtnzeYGDSU1fBxV/4EPZiNza3g4s+fAXrP3wFFoeVfb/bRUozs/hDV2Hpn+JZNetUXbyChTdfxvYfvcB7z77B0o/diLvuVI0A19wKFt5+LXt+tY1Dv9vB/A3LWPXBSzHZLLTtz9YkufiT78delD2mbjWz/Mb1LLxqDXue3YaiqdRfspT333s7r/3weQAqls7l+q99lL0v7yGdSFNaW85tX/soh7cdINQTxFni4oY//wCarnLwlfdo2HWUm75yB0X9wQ9V11hy1So+8LWP4pCZmcQ0Z3HYqLhwEQtuugxzfxZXoKkDW0UJ9TdehsmZfQjTLCaqN6ym8pLVHH/jAAB7f/MmJfWVbPjMjTj664LoFhOL33cBl3z6/WzuDzjqZp3VN67n2s/fwnsv7R5ctur9F3LTX9zGgZezyzSTxpKNK7nx3tv5/Y+zn4tUXWPNdRfy0b/6Y97tD1iqmsryq1bx0b/5JK4SeXAWM1sqkSQRjuclQySdSg8ZSp5r0VCUVDKF3TP1GSLxaJz4GcN7hZhJFGMC4cwLL7yQe++9l09+8pO4XC727NnD/Pnz2b17NzfeeOOwLI7RhEIhjh49OnjM7373u1xzzTUUFxdTW1vLAw88QEtLCz/+8Y+B7LS7K1eu5POf/zx33nkn27Zt46677uKJJ544p2l3A4EAHo8Hv98/qyLriVCUdDyBoqnodguJYBQjlUbVNUwOG+lYHMMw0MwmMoZCMpqdicbssA2pF5CKJ4kEwhhpA7PDQiqeJBVLgqJgcVpJxRKkkylUTcPisBIPx8ikM2gmDYvTSqy/RojJaiadyhCPxgfTiWN9YdLpDLrZhMmqEw/FMIxsSr6RyZDqr+VhdlmJB6KkU2k0k47VbSPmj2AYBmabBVXXiEdiqJqK1WUn2hcmnUyhWTR0s5lYKFtnwWQ1Y7FZiIaiqJqKzWUlFk6QSiTRTTpWl41oIIKRzmCymXF4R8imETkzk/tmKpYgEYmBkR1eZrIPzRpJJ9OEegKkUyk0k46rxEO0N0AmnUbRVCwuO8lIjFQ8haIqmBxWjFSaTDIFBigmHc2sEw9GyaQz6GYdi9tG2Bcik8qg6hrOMjfh7gCZVBpV07B6HcQDEdLJFIqqYnZYSSdSpBPZb6U1swnNphPzZ49pspiweuyEe4KkUxl0k4ar3EPUHyGVSKGZNBxeJ/FQlGQsiaIp2N0OdJlud9qbyX3zXKXiKeKBEEY6jaJpmF12VJNGvO/0ZTZ0sxl/u+9Uf/M4sNgtBNp9pAeWuW1YHDZ6W3v6l6nYXHZsbju9bb7+91IVq8uG3e2gr91HKpF9f7W57dhcNkJ9IRKROKqu4fA4MFlMhPvCJKJxVE3F7rYPq/kjZg7pm6f4233815d/wGUffx9lo2QpTwZfSzev/scmPvL/PkvpvNGHop+PjsZ2Hv7zf+GWP/8gFWMMT821tmOtvPDY8/zFD++lrKZsys4rxFTSz77JcIcOHWLjxo3Dlrvdbvr6+sZ9nO3bt3PNNdcMvr7vvvsA+NSnPsXjjz9OW1sbTU2nZluor6/n+eef59577+V73/se1dXV/Mu//Ms5BUNmM7PTBqfVJtBLhn5AOrMuxsCwlTPpFhPuMu+pBWd+8esZms535rhpi2No5P703W1nrHN4R/9W2eYcelzrGfvaTjuvuXLotZ0Z2Dj92wSzbeh1m+WDpMgB3Woes/aMZtKGzB4B4Di9nwEm69AiiSM5s395q4bu46ksHrq97ezHtDuH9mnLnKH7nPnNs10Ch2IG0y06+hl9E8BeMnxI5pn9DcA9wrIzC6oCFFUN3847wr5OrxPO6HMOrwOHd2pT64XIt4GZXqxTPWSm/7N12BectIDIQB2PKa8h0v+ZPtgTkICImLEmFBCpqqri6NGjw6bYfe2115g/f/64j3P11VePOd7u8ccfH7bsqquuYufOncM3FkIIIYQQQsxKA4VNp3rIjMVpA4UxZzM8X4HuPAVE+s8nhVXFTDahGiKf//zn+dKXvsRbb72Foii0trbyX//1X3zlK1/h7rvvznUbhRBCCCGEEGJUIV8I3WLCNMXDNFVNxeq0TepMM4GeAFanDU3Xzr5xDpnMJsw282BARoiZaEIZIvfffz9+v59rrrmGWCzGxo0bsVgsfOUrX+Gee+7JdRuFEEIIIYQQYlRh39TPMDPA6rITmsSASLAngMOTn2FwDreDoGSIiBlsQgERgG9+85t84xvfYP/+/WQyGZYvX47TKePGhRBCCCGEEFMr3Buc8uEyA6yuyc0Q8Xf5sbvzc212j12GzIgZbcIBEQC73c769etz1RYhhBBCCCGEOGehnkBeAyKBjr5JO36g24+3wjtpxx+L3e3A3+3Py7mFmArjDojcfvvtPP7447jdbm6//fYxt3366afPu2FCCCGEEEIIMR5hXxD3Um9ezm1z2Wk70Dxpxw/0BKheNGfSjj8Wu9tOe0N7Xs4txFQYd0DE4/GgKMrgv4UQQgghhBAi34yMQbgvPOVT7g6wumzEwzFSiSS6ObdFXVOJFJFABLs7TzVEPA5CvUEy6QyqNqH5OIQoaOMOiPzoRz8a8d9CCCGEEEIIkS/RQAQjncGWpyEztv7pacO+IJ7K4pweO9g/na/Dk59gj91tx8gYhPpCuEvceWmDEJNpQmG+hoYGjhw5Mmz5kSNHaGxsPN82CSGEEEIIIcS4hHzZop9Wd/5mmcm2I5TzYwe6svU78jbLTP95ZepdMVNNKCDy6U9/mjfeeGPY8rfeeotPf/rT59smIYQQQgghhBiXcH8gwpangIitfwaYsC/3QYOBgqYOb34CIvaBgIjMNCNmqAkFRHbt2sXll18+bPmll17K7t27z7dNQgghhBBCCDEuYV8ARVWwOKx5Ob9uNmGymgn15H7q3UC3H7PVjMlizvmxx8PqsKLqKgGZaUbMUBMKiCiKQjA4vMP7/X7S6fR5N0oIIYQQQgghxiPUE8Tmtg9OAJEPNred0CRkUfi7/XkbLgPZ5z6nxykBETFjTSggcuWVV/Lggw8OCX6k02kefPBBrrjiipw1TgghhBBCCCHGEvIF8zbDzACry0bYNxkZIgHseSqoOsDuceCXGiJihhr3LDOn+/a3v83GjRtZsmQJV155JQCvvvoqgUCAl156KacNFEIIIYQQQojRhHoCWPM0w8wAm9tOcBKCBv4uf96m3B1gd9vxd/XltQ1CTJYJZYgsX76cd999l4985CN0dnYSDAb55Cc/ycGDB1m5cmWu2yiEEEIIIYQQIxoYMpNPNred0CRkiPi7+vJWUHWAw2OXITNixppQhghAdXU13/rWt3LZFiGEEEIIIYQYN8MwCPsC1K6pz2s7rG47sUCEdDKFZprwI9YQqWSKUF8orzVEABweJ4GeAIZh5LVOixCTYUIZIpAdIvPxj3+cyy67jJaWFgB+8pOf8Nprr+WscUIIIYQQQggxmngoSjqZLogMESCnWSJBXxCMbEAin+weB+lkmrA/nNd2CDEZJhQQeeqpp7jhhhuw2Wzs3LmTeDwOQDAYlKwRIYQQQgghxJQYCEBYCyUgksOpdwfqduR7yIyz//wybEbMRBMKiPzd3/0d3//+9/nhD3+IyWQaXH7ZZZexc+fOnDVOCCGEEEIIIUYT6i9kmv8MkWzQIOzLXWHVQP+15XvIjL3//P4uCYiImWdCAZFDhw6xcePGYcvdbjd9fX3n2yYhhBBCCCGEOKuQL4iiKlgd1ry2QzfrmGzmnM404+/yY7aaMVvNOTvmRNgcNlRNlYCImJEmFBCpqqri6NGjw5a/9tprzJ8//7wbJYQQQgghhBBnE+oOYHPbUdQJl0bMGbvHQagnlwGRPhze/NYPAVBUBYfHIQERMSNN6M7x+c9/ni996Uu89dZbKIpCa2sr//Vf/8VXvvIV7r777ly3UQghhBBCCCGGCfUE8j5cZoDNbR8cwpMLfZ35n3J3gMPrwN/dl+9mCJFzE5oT6v7778fv93PNNdcQi8XYuHEjFouFr3zlK9xzzz25bqMQQgghhBBCDBPsDmB1FU5AxN/Rm7Pj+Tv78FZ4c3a88+HwOPB3SoaImHkmnFv2zW9+k+7ubt5++23efPNNurq6+Nu//dtctk0IIYQQQgghRhXqCWDLc9HRATa3I8ezzPjzPuXuAIfXOTjrjRAzyYQyRAbY7XYqKipQFAWnszA6qxBCCCGEEGLmMzIGYV+wcIbMeOwkInESkThmu+W8jpWIJYiGooUzZMbjINATIJPOoGr5r9ciRK5M6K85lUrxv//3/8bj8VBXV8e8efPweDz81V/9FclkMtdtFEIIIYQQQoghIv4wmXSmgAIi2eBFMAeFVfs6+wBwFkBRVci2w8gYBH25y4ARohBMKEPknnvu4Ze//CXf/va32bBhAwDbtm3jr//6r+nu7ub73/9+ThsphBBCCCGEEKcLdmdrWtgLZMjMQDuCXX5K5pad17H8AwGRosIIiAzMduPv6sNT5slza4TInQkFRJ544gl+/vOfc9NNNw0uW716NbW1tXzsYx+TgIgQQgghhBBiUg3M6GIvkGElVqcVRVUIdZ9/8dG+zl4UVcHuLoxrGwjM9HX2Ubt8Xp5bI0TuTGjIjNVqpa6ubtjyuro6zGbz+bZJCCGEEEIIIcYU7PajW0zoFlO+mwKAoqrYPA6CXbkZMuPwOAqmXofZasZsMw8O5RFipphQD/vCF77A3/7t3xKPxweXxeNxvvnNb8q0u0IIIYQQQohJF+oOYPc4UBQl300ZZPc4BofynI++jr6CqR8ywOl1yUwzYsaZ0JCZXbt28fvf/56amhrWrFkDwJ49e0gkElx77bXcfvvtg9s+/fTTuWmpEEIIIYQQQvQLdPkLpqDqAJvbTqDr/AMivZ29g3U7CoXDa6evoy/fzRAipyYUEPF6vdxxxx1Dls2dOzcnDRJCCCGEEEKIswl2+XGXe/PdjCHsXgfdJzrP+zh97b3Mv2BBDlqUO06vi+6W7nw3Q4icmlBA5JFHHiGTyeBwZIv8NDY28swzz7Bs2TJuuOGGnDZQCCGEEEIIIc4U7PZTuXhOvpsxhN3rJOoPk0ok0c0Tq22SSqQI9gZxFbly3Lrz4yxycmzXUQzDKKhhSkKcjwnVELn11lv5yU9+AkBfXx+XXnop//iP/8htt93Go48+mtMGCiGEEEIIIcTp4uEYyWiiYKbcHTAw402we+KFVf3dfjDAWVxoAREXiViCaCia76YIkTMTCojs3LmTK6+8EoBf/OIXVFRUcOLECX784x/zL//yLzltoBBCCCGEEEKcLthfp8NWIFPuDrB7snU/gudRR6S33Qecmuq2ULiK+6fe7ejNc0uEyJ0JBUQikQguVzZiuWnTJm6//XZUVeXSSy/lxIkTOW2gEEIIIYQQQpxuYCaXQssQsbptKKpC4Dymp+3r6AMFHAV2bQNFXnslICJmkAkFRBYuXMgzzzxDc3Mzv/3tb7n++usB6OzsxO1257SBQgghhBBCCHG6QKcfTdewOKz5bsoQqqpi8zjOL0Okw4fT60TTtRy27PxZHVZ0s05fuwRExMwxoYDI//f//X985Stfoa6ujksuuYQNGzYA2WyRCy+8MKcNFEIIIYQQQojTBbv6sHudBVnc0+51nFeGiK/Nh6vA6ocAKIqCq9glGSJiRpnQLDMf/vCHueKKK2hra2PNmjWDy6+99lo+9KEP5axxQgghhBBCCHEmf0dfwdUPGeDwOvGfR9Cgt92Hs8BmmBngLHLSKxkiYgaZUIYIQGVlJRdeeCGqeuoQF198MUuXLj3nYz3yyCPU19djtVpZt24dr7766qjbbtmyBUVRhv0cPHhwQtchhBBCCCGEmF4CnX2DM7oUGrvXeV4ZIr3tvQWZIQLgKnINFn0VYiaYcEAkV5588km+/OUv841vfINdu3Zx5ZVXctNNN9HU1DTmfocOHaKtrW3wZ9GiRVPUYiGEEEIIIUS+GIZBsMs/WOSz0Ni9DhLhOPFw7Jz3jUfiRAKRgg2IOItd9HX2YRhGvpsiRE7kPSDy3e9+l89+9rN87nOfY9myZTz00EPMnTuXRx99dMz9ysvLqaysHPzRtMIqOiSEEEIIIYTIvVgwSiqeLNgMEUd/MGMiw2Z8bT0AuEoKc6IKV7GbZDxJqDeU76YIkRN5DYgkEgl27NgxOEvNgOuvv5433nhjzH0vvPBCqqqquPbaa3n55Zcns5lCCCGEEEKIAjEQaHAUaJ0NR1E2cyXQ0XfO+/rassNR3AUbEMn+zmXYjJgpJlRUNVe6u7tJp9NUVFQMWV5RUUF7e/uI+1RVVfHYY4+xbt064vE4P/nJT7j22mvZsmULGzduHHGfeDxOPB4ffB0IBHJ3EUKICZO+KURhkr4pRGGSvpk1EGiwFxXmkBmzzYLJap5QhkhPaw9mqxmL3TIJLTt/AwERX5uP2uXz8twaIc5f3ofMAMOmyzIMY9QptJYsWcKdd97J2rVr2bBhA4888gi33HIL//AP/zDq8R988EE8Hs/gz9y5c3PafiHExEjfFKIwSd8UojBJ38wKdPRidlgwWUz5bsqoHMUu/BOYjaW3zYe71F2Q0wkDmCwmbC7b4NAeIaa7vAZESktL0TRtWDZIZ2fnsKyRsVx66aUcOXJk1PUPPPAAfr9/8Ke5uXnCbRZC5I70TSEKk/RNIQqT9M2sQGdfwQ6XGeDwOiYUEOlp7S7YKXcHuIrd+GTqXTFD5HXIjNlsZt26dWzevJkPfehDg8s3b97MrbfeOu7j7Nq1i6qqqlHXWywWLJbCTDsTYjaTvilEYZK+KURhkr6Z5W/vxVGgBVUHOIpdnHzvxDnv193SQ/3q+kloUe64Slz0tHTnuxlC5EReAyIA9913H5/4xCdYv349GzZs4LHHHqOpqYm77roLyEbCW1pa+PGPfwzAQw89RF1dHStWrCCRSPDTn/6Up556iqeeeiqflyGEEEIIIYSYAn3tvdQWeNDAWeIm0hciGUtgsprHtU8iliDYE8BT5slJG9KpNPFwDEVVsDisqGpuBge4S9wcPnYoJ8cSIt/yHhD56Ec/Sk9PD3/zN39DW1sbK1eu5Pnnn2fevGyRnra2Npqamga3TyQSfOUrX6GlpQWbzcaKFSt47rnnuPnmm/N1CUIIIYQQQogpkIwliPrDg1PbFqrBqXfbeymtG18pgIG6HO6SiQdEIv4wR7cfoWn/CfraejEMAwBN1yitLaNudT31Fy7AZJ54/RV3qYewP0wsHMPqsE74OEIUgrwHRADuvvtu7r777hHXPf7440Ne33///dx///1T0CohhBBCCCFEIRmoy1HoARFnSbZ9fW2+cQdEelqyAZGJZIgkonF2b9rFkbcPgqJgdVpxl7rRLTomixlNU4mGY7z1q23s3ryLC29Yx8L1iyZUvHVgSmBfWw/VC+ec8/5CFJKCCIgIIYQQQgghxNn0tfsAcBZ4QMRss2C2W+hrHf9sLN0nuzHbLOc85e7RHYd559dvkUmmAVBVBVVRMDBIRBMEe4Kk4klUTaV8XjlGxuDNp1/nxN4GrvjIVVid55blMRAQ6WmRgIiY/iQgIoQQQgghhJgW/G29mKxmTLbx1eXIJ2eJm94237i37z7ZhbfcO+6sjWBPgK3/9RL+jj4URaG0toySmjLsHvuQYxiGQSISp7e9l+6mThLRBKVzS+lu7uL57z3LtX96PZ5y77jbabFbsDqt9LRKYVUx/UlARAghhBBCCDEt9LX14Cx1T2iox1RzlrjoPYfZWLqau/CUus+6XTqV5r0te3hvy7sYGQN3mYf5axei6dqI2ytKtqhq5YIqKuor6Grqou1wC6pJI5PJ8OL3n+f9n7uB4uqScbfVXeKh+6QERMT0l5tSw0IIIYQQQggxyXpbfQU/XGaAs8SNv9U3WNh0LIZh0H2y66yZGr6WHp5/+FneezkbDKlZMY9FFy8ZNRhyJkVVKa+rYNmVK7HYLMTDMTRdZfO/vUhfR++4jgHZOicSEBEzgQREhBBCCCGEEAXPMAz8bT0FX1B1gKvUTTKeJOwLnnXbUG+QeCQ+akFVI2Ow75W9vPj93xAJRDAMqL9gARXjLNh6JrPNzKKLl1BWW048HAPgd//+W8L+8Lj2d5d66D7ZNa5gjxCFTAIiQgghhBBCiIIXC0aJh+O4Ss4+rKQQuEqzwQ3fODIpOk90AuCtKBq2LhaO8fKPf8fu3+7A4XWSiCaou6Ce4jnjH+IyEkVVqFleS/WSGlLxJMl4kpce30wqkTrrvp4yD/FInHBf6LzaIES+SUBECCGEEEIIUfB6+6eldY6jzkYhsHsdaLo2rjoiXU2daLqGq8g1bPnzDz9Ld3MXVYvnEOgOULtyHiVzSnPSRkVRqFxQRc2yuWRSaQJdfrY9/fpZMz+8/ZksXc1dOWmHEPkiAREhhBBCCCFEwett6UZRlGkzZEZRVZyl7vFliDR14inzomrZxzPDMDj4xn42//AFzDYz8y9cQMvBk1QtrKJ8gsNkxlJeX0nV4jlgGDTuOc7htw6Nub271IOqqnQ1dea8LUJMJZllRgghhBBCCFHwelt6cBQ7x11AtBC4Sj34xpFF0dHYgbfCC0AiluDNp1+ned8JalfMo6y+gh3PvUNxdTHVS2omra2VC6pIxpJ0N3Wy/ddvUlZbNurMM6qm4i51S4aImPYkQ0QIIYQQQghR8HpbunGWjFx0tFC5y734mrvHHIJiGAYdje0UVRbRc7Kb5x9+lrYjLax63xpqV9fz7u92YXPZmLemflKnG1YUhbnLa3GVukGBrT99acx6Ip4yD52SISKmOQmICCGEEEIIIQqe72RX9mF9GnGXe0jGEgS7/KNu4+/yE4/ECXYH+O0PnkPTNS6+dQOlteXs2byTTMZgwfpFaNrkZ8YoqkL9hQswW81E/GG2P/f2qNt6K4roPNEx6W0SYjJJQEQIIYQQQghR0OKRGGFfCFf59MsQAehpGn1oyeG3D2LSNE7sOc68VXWs/8DF2Fx2Dry2j2B3gAXrFmG2mqeoxaCbdBasX4yiKhx95xCtR1pG3K6ooohQb4hoMDplbRMi1yQgIoQQQgghhChovf2FSd1l3vw25BxZ3XZMNjM9I2RSxMIxfvcfv2XzYy+gKArrb7mEhesXo6oqzfubaD3cQu2qOpxFzilvt81lo3ZVHYqi8NrPt5KMJ4dtMzBFsGSJiOlMAiJCCCGEEEKIguZrzs4wM12m3B2gKAqeiiK6TgsaxCNx3njqVb535z+x/bm3cJa6cZa5B4uq+tp8HHrzAOV1FZTOLctTy6FkTineqiKSsQRv/vL1Yes9ZdmZZjokICKmMZllRgghhBBCCFHQepo6cZa4p9UMMwM8lUV0Hmuj9UgL7760m3d/v5tUIsmCdYtY9b4LeP7RXw/O5hINRdnzu904i5zULJ+b55ZD3ep63vOFOPFuAwvWLaJ60ZzBdZqu4Sn30NHQnscWCnF+JCAihBBCCCGEKGjdJzpwT3L9kEw6jb/LT8gXJBqMkoglSKfTAGiahsliwmQ1Y7FZsNjNmB02LDYzJosJVVWHHCcajhPuDdLX0UtHUyehLj8/uu8HWF02Fl28hCWXLsXucZCIJgj4gtStriedSrN7004UFeavXTjkmPmiahoL1y/i4Ov7ee2Jrdzx9Y8OCUoVVRbT1tCWxxYKcX4kICKEEEIIIYQoWIZh0HOiiwWXLs3tcTHobfXRtO8EbUdb8bV2k0lnp8dVVAXdrKNpKoYBmUyGdDI1uP5MqqagqCpGJjNkG0VVcHocKMD6my9m0YZlqNqpQEdPS39tlBIP723dS7gvzNLLlmGymHJ6refD7nFQXl9BZ0MHbz71Opd/dOPguuKqYt7dsgfDMCZ1SmAhJosERIQQQgghhBAFK9jlJxGND87Ycr5SyRTHdx3l0LYD9HX0YbKaKK4uYfElS3GWuLG7HZhtZs58vjcMyKTSJOPJ7E8sQTKRJJ1Ik06lB4MCmq5hspmxOq043HYUTWXHf7+KripDgiEA3S1daLpGZ0M7Hcfbmb9uIXaPIyfXmUtzls6lr72XhnePs3jDUspqy4FshkgimqC3vZfiquI8t1KIcycBESGEEEIIIUTB6m7MFu30VBWd13Ey6QxH3jnEuy/tIR6OUTavjAtvWEfxnFJULRv9yKQyRENRIv4Q6XiKdDoDhoGiqWi6hm7WMVnN2Fx2XCWucZ/bUeyir6Vn2PKu5i7sThvHdx1jzpI54woqpFNpUvEk6WSKdDJNJp3ByBiggKqqqKZTw3vODMBMlKIoLLhoMQdeeY8tP/k9H37gYyiqQumcbO2TtmOtEhAR05IERIQQQgghhBAFq6uhHYvTitVpm/AxOhrbeeuZN/B3+alaNIf5FyzA5rYT8YdpOdiMv6OXUHeAWCg67mNqJh2Lw4LVacPqsmFz2rE6rVicNqxOKyaLGaU/HuEodeNr7Bw2tKT9WDupWIKSmlIqF1ZjGAbpRIpkLEkiFicZTZCIJkhEsv9OxhJk0plxt9FkM2Nz27EXOXGWuLA4rBMe2mJz2qior6SjoZ23n93GJbddhs1lx+5x0Hq0lRVXrJzQcYXIJwmICCGEEEIIIQpWd2MHnsqiCT3IpxIpdv12Owe3HcBb4eWS2y7DbDHRdqSFzuPtRAMRUFQcXjvOUjdldRWY7RZMVhOarqNoCgrZ4TLpdJp0Mp0NWMST2WBFLEEiGifSFyYejWOcHqxQVMzW/kwNRSEVjvH6z17GZDEDEO4LoSRSWE0mUpEYh7a+RzqRwjCG1iDRLSZ0s47ZYcFe5EAz62gmHU3XUHUVRVUHfzfZGiaZIW2MR+IEO/20GwZmuwVPVRFFc0ow2yzn/PusXlqDr83H0XcOs2TDcrwVXkqqimk90nLOxxKiEEhARAghhBBCCFGQDMOg41gbtWvmn/O+fZ19vPKzlwj6gizZsAx3qZsTu47R09yFqml4Kr1ULpqDs8Q1rqElmkkD61iNzQZgErE4yVg2GJFKJEkmUqTiSQBCXX4UXSOdShPoCQJgddnQLTpWp5YNdJh19P4fVdfOLRCkqWgmMFnNQ5qaSWeIBaNEekP0NHbSdawdV5mb0vpKHEXOcR9eURQWXrSYA6++x0uPb+JD9/8hJTWlHHrroBRWFdOSBESEEEIIIYQQBSnUHSAWiFBUfW71KRr3NrDtqdewOqys3LiatsMnOf72ISwOKzUr51FUVYx62vSxOaGAbtHRLTqMMENw47aDeKpLKF1YzTu/eRNDAXSVyiVzctuOEaiait3rwO51kKktI+wLEujoo+HtwziKnVQsnjPuYq42l42S2jJ6mrrY9eJ2yuoq2P27XVJYVUxLEhARQgghhBBCFKTOY20AeKtLxrW9gcG7v9vNuy/tpnxeObpJ58DWd7E6bNRduABPRRGclsSQTqYJ+YIkE0l0k46zyIk+SVPe2rwO/K0+jh9oQjNpGIqCxTFWysn5yaTSpCJxMukMqq6h2y2omoqqqbjKPDhL3UT6wvS19HD8zUN4qoqoXFIzril/a1fMw9/ey4HX9lGzvBaAlsMnJSAiph0JiAghhBBCCCEKUvuRFuwex7gKqqbTabb94jUa9hynoq4Cf3svKAo1K+ZRXFOKop6KhCTCcZoPNeNr7RlSswOgqKKImqW12NwTL+I6EkVXSYRjmMwm5l+4gD1b9lBcmfsAQiqWINLRRyIwvECs2WPHUVmEZtZRFAVHkRO710GoO0DvyR6CnfuoWDyH4rmlYw5/URSF+esXcfiNA7z+5Cs4i500H2xm1VWrc349QkwmCYgIIYQQQgghClL74RaKakrPul0ynmTLT39HZ2MnnmIXvuYuiuaUMmdpDZp56CNPd3MXjXsbUFWV0rnluIud6BYz6WSKUG8QX6uP9155lzlL5lK9oArU86yLYUDXiQ5OHmrBabNQs6iacCACgMM7vmEq4zqNYRDtDhBp70PVNawlLnSbBUVXMVJpkpE4CX+E3sOtOOcUY+2vHaIoCq4yD/YiJ73N3bQdaCbQ3sucVfPGLLzq9DrxVpXQ19aDs9RN04ETObsWIaaKBESEEEIIIYQQBSedTNHV0M7yay8Yc7tYOMZLj2/C39mHSdNIxpPMv2gxrlL30A0NOHmwidajrXjKPFTWVw4ppqpadIoqi/CUF9F9souTB5uIBMIsuHDhkOySc7uGNE17G+lp7cFb4UVNpIj1RQjFE1hslpwNzzEyBsGT3ST8EcweO5Yi55AMD8WkY/HomF02Yj1BQid7SMeT2Cu8g9tpukZpfQWOEhc9DR0cff0A1ctr8Y5Rv6VudR3vdvVlM0w6+0jGk+MaciNEoTh7OWUhhBBCCCGEmGKdx9rIpNKUzC0bdZtIMMJvf/A8gc4+lIyBu8zDkitWjBgMadqfDYaU1VZQtbB61JllVBXKa8uYs7iG3rZejrx9GCNtjLjtWPydfva9spfeDh9VC6qpqK/E4rIT9QXwd/bmLDvEyBgEmrpIBCLYyjxYi12jDndRVBVbmQdLsZNoV4BwW++wIUM2t53qFbXYPA5O7m3k5N5GMqn0iMdTNZX5axdgGAa6onBiX2NOrkmIqSIBESGEEEIIIUTBaT3QjG4x4anwjrg+7A/z4qO/IdobQkFh7so65l0wPzs97hnajrXSfryViroKSucUM558D3eJi5qlNfi7/RzdeQQy4wuKxEJRjr5zmCNvH0I3adStno+7LBugsbhtpJNpMsk0ziLXuI43FsMwCDZ3kwxFsZd7MTnHV6TV4nFgLXER6wkS7QoMW6/qGqXzKyipz9ZiOfbmIeLh2IjHcpd6KKoqAuDl//zdxC9GiDyQgIgQQgghhBCi4LTsP0FJbRmKOvyRJdQb5IXv/ZpEMIrZZmbRZcsonlvKSJGO3lYfzQeaKJlTes6zoDi9DuYsnkNvu4/GsbIfDAj1hji24yjvbdlLuDdE1YJq5i6vHTKExOywggJWs47DZT+ntowk3NY7mBmi20ev9zESs9uO2esg0tFH3B8etl5RFFylbqqWzyWTTnNs20ECHX0jHmve6vkoikLH8TaO7TwykUsRIi8kICKEEEIIIYQoKOlkirZDJymdVzFsXaAnwPMPP0sqGsdZ6mbx5cuxuUaeESYaiHJs91FcxW7KakcfejMWV7GTyvoqOhs7aD/efmqFAZG+CK2HW3hvy7scfH0/IV+A8roK6tYs6M8KGRqhURRIpTNYzSaM83wSi/YEifUEsZa4ME1w+l6L14HJYSXY3EMqlhhxG7PNQtXyuVjdNpp2H6fjSOuwYTaarlFUU4JhGPziwScJ94Um1B4hppoUVRVCCCGEEEIUlPbDLaQTKcrqK4cs97X1sOkHz0M6Q2ldBXOWzh0xKwSyBU2PbD+EyWKiemH1uIbJjMZb6SUWitG8v5FoIEw6mSbkC5FKplA1BYfXSencUuxeB8oYZ4qFYsQSSZxWC6loAtM5ZnUMSISihFt9mN02zO6JZ5ooioK11E26zUfgRBfehVUj1lZRNY2yBVX423rpOt5OLBihZnU9mn5qeFLFvEq6T3SSjCX4728+waf/32dHzO4RopBIQEQIIYQQQghRUJrebcDisOI+rX5I+/E2tjy+GQyDuavqKD7LdLyNexuIRxPUr65H1cYXDsmkDRKxJIlInEQsTiKWIBFNkIwlyGQMFFR6TvZgdVjxlHmweRzYXDbUcc5C09vZB6qCoqnEfKEJBUTS8STBE93oNjOW4vOvQ6KoCrZyD+EWH6GWHtyjZNIoioK3uhiz3UL38XaOv3mI2gvnY+nPTrG5bWhmEyrQcrCZV36+hav++H3n3T4hJpMERIQQQgghhBAF5cSuo5QvqBqcLeXYjiO888wboCgsuHgJzpKxAwE9zd30tHRTvbAai8084jYGkIgmiAQixIIxYuEoieipYSOqpmIy6+hmE1anFd1iQtN1uk92kk6lKJ5TMupMNSPJpDMEOv24Sl2YTSbifWEcVUXnfowTXSiagq3MM+psMudKM+nYSl1EuwLEekNYi5yjbmv3OqhcNpeuo60ce/MQtRfU4yxxoygKngov4b4wmUicV5/Ywtzl85h/wYKctFGIySA5TEIIIYQQQoiCEez242vqonxBFQYGezbvzAZDNJUlVyw/azAkEY7R8F4D7lI3njLPkHWZtEHQF6LtWDvHdxylcU8DnQ0dREMRTBYTRZVFlNeVU714DtVLaiirr6RoTgmuUg82lx2zzUx5bTnJZIrmQ83DammMxdfei4GBs8iFyWUDDGI9wXHvbxgGwaYu0skUtnIvyjkEUsbD5LRhcloJtfpIx5Njbmu2malcNheL3ULj9qP0nOjEMAy8ZV6iwQjz1szP1hP51hP0dfTmtJ1C5JJkiAghhBBCCCEKRsP2I6iaSml9Ba/+7GVaDzSjmjSWXrECk3XkbI8BRsbgyM6jaJpG5fyq7DIgEogS6PQT6g2QSRuYzDo2lw2Lw4bFYTmnWhe6xUxpTRldTZ20H2ujamEVoxYy6ZdJZ/C1duP0ONBM2Ucwk9NGtDuAtcR11iwRwzAIt/pIhmLYK71o5sl5jLOWuEjHkgSbu/EsqBwzA0XTNcoXV9Pb3E3bwZNEAxEqFs9BURV0s05JTRm+lm6e+Ouf8Nnvfh6zbWL1UoSYTJIhIoQQQgghhCgYx98+RFFNKS/9xyZaDzSjWU0s37j6rMEQgNYjLYT7QlQtrEZBobe9j8Y9DZzc30TEH8JZ5KJyQSUVC6vxVBZjddkmVPjT6rRRXF1CX1cfHY2dZMMuo+tq7iKTNnCXeweXWbwOjIxBZJSpbAcYhkGkvY+YL4S11I0+iYEFRVWxlnlIRRNEOv1n315RKK4to7S+An9bL027juEudtHe0M7qa9Zgtlnoaenm6W//D5l0ZtLaLcRESUBECCGEEEIIURDCvSFa9zfR2dSJv7MPs8PCsitWopm1s+4b8oVoOXyS4uoSon1hju08SmdjB6quUVZbRuXCatzlXnTL2QMr4+HwOimqLMbX1kN7QzvGKEGRcF8YX1sPnnLPYHYIgKprWIocxHqCJILREfc1DINwWy/R7gCWYhfmUaYXziXdasLidRDt9JMMx8a1j7PUTeXSGhKRBJlwgkBnH6lkirU3rAcUjm4/zOZ/f+GchhgJMRUkICKEEEIIIYTIO8MwePnfsg/N8XgCe5GTJZetQDOdPRiSTqY5uv0wutmEv6MPX5sPu9tO1cJqSueWYXHaIEcFSE/nKnFTXFVCX3svTfuaSJ5ReyMciHDycDNWhxV3iXvY/ma3Hd1mJtDURSI0NCiSTqQINHQS6wliLXFh8Ux8et1zZfY60Kwmgs3dZFLpce1jcVqpXjEXk82MVdc5vO0AjmInq65eTSZj8M6v32Lb069NcsuFODcFUUPkkUce4Tvf+Q5tbW2sWLGChx56iCuvvHLU7bdu3cp9993Hvn37qK6u5v777+euu+6awhZPHsMwyCQTGOk0iqpioEA6hZHJoGgaiqZhpPtvSqoGmXT2taqiqNl1RjqNousoipJdZxigadnXqWR2W00f3FfRNAxFg1QSwzBQNA10HRJxUFQUkwkyGYxMGkXVQFEwUv1tMplQFAbbpOo6msU6eD3peJxMMomRTqPqOphNkEoBCqquoZpyE6EXYqYxDINMIj7Yv1WTGVU7+wfCCZ0jlQZVQdVNpFNJGLjHaHr2PpRMYmQy2fPrevaelM6gaCqKyZxdn05ni7tpJox0CiOVQlH77x/pNJmBe4Smgar235sG7mt6/30vew5F1wfvG0r/a4zMqd+FpmfvQ+mBe4mOYRjZ+5JhoOo6iqaRSSah/96pWixDxkEbhkEmHieTzrZTNZmz9ygxpVKxWPb/NZPO/r2Zs39PZDKQ6f//t1ghmcz+DQ28F1rMGIkUmdSp9xfVbEZRVTKJxOD7oGax9P+dJwb/njTLudUKEEJMjXg4xvP/+itO7jxKxjDwVBZRt2YByjims00n0+x/7T1SiRSKouAsceIqdqPquX3fHI2z2IVu1vG1dHNs1zFcRU7MNgvxaIygL4jFYaVsbvmIARlFyU55G+30E2joxOSyodvMpONJEoEIiqpir/RO6jCZkShKdhabcEsPwZM9uOeVjWtGG82kU7mkhua9jfS19LD/5T0suWIFi9Yv5uiOw7z0+GYsdivrbrpoCq5CiLPL+6e/J598ki9/+cs88sgjXH755fzgBz/gpptuYv/+/dTW1g7bvqGhgZtvvpk777yTn/70p7z++uvcfffdlJWVcccdd+ThCnInk0oS9/UQbWvBUMCzcCnhk03EfT1gGCiajq2qOvuBL5lENZmJNJ/IfugHzEXF2KqqCbe24a6bR+DYUZLBAACa1YZjXh3xnm6c8+qJnGwi2tGe/dCpqtgqqtAdDvre24dmteJetAg0DSOZJBkOEW1rHXwYsVVUYikqJhkJY/F6CTUeIx3LptPpDieu+QvR7A7S0Sj+gweJdXYBoJpNuBcuRHc6CB0/jGaz46xfiG6zy4dTIU6TSSaIdXcRPtmEkUoBYCkpwzmvbkjA8bzOkUqR6OsleOwomUQc1/KV6LpO8OgRUpEwALrdgWvhIiLt7cS7uyhZu45wwzFi3V1gGLgWLiYTjxNpPZm9PygK1rJyLCVl9O7bi716DtaSUvwHD5IK9x/T6cSzbBmxjnbiPV14li4n0tZKrCt7TEXXcdbOAyBw+Ej2nlNVhbOujt4D70EqhdlbhL26huDxIyiahqO2nuCxoyQDARRdp2jFKqLtrcR7egADRTfhnFeHtawc1WQinUwQ6+oidPzY4P3TUlqGe9EidOvkpyKLrFQkQvD4URK9PgBsldXYa2oIHz+Wfd8DFJMJx9x5mIuK8O3cTvb/U8dROw8Une53doJhoJpMuBfOx15dRcfrr2f/lsxmytavI9LSQqS1tf99VMMxbx6Omho0ixT3E6JQtB1u4dl/+AUhXwCbrmMvcTFvzfyz1SnFyBh0NnbQcqiZdCqDzWnLToU7RYGQ01mdNqoWziHYGyQaiBAOhNFNOsVVxTiLXGNmpyiqiq3CSzIYJRmKEYvEUXUVi9eJ2T2xGie5oOoa1lI30U4/sZ4gttLhGS4jUVSFktoyTh5sprelhx3PvsmyjauIBGtoPdLCC4/8Gk3XuOD9ayf5CoQ4O8XI80CuSy65hLVr1/Loo48OLlu2bBm33XYbDz744LDtv/rVr/Lss89y4MCBwWV33XUXe/bsYdu2beM6ZyAQwOPx4Pf7cbvH17Enm2EYxLo7iTQ3AuBauJTQiQZSoeFTcTnrs3N5B48cHrZOs9rwrliFb8/OwQep0xVfuJ5w8wni3V3D1lnLKzDSBpGWFgBKLrmYaFsb0daWYdtaSktxzV9A77u7hq1TNI2ilRfQvWMHqVB42HrvyhWkE1GSvm5QVbwr1shDiAAKs29ONcMwiLa3Emo8Pmyd7nDiWboCzXz+mVWJvl569+7JvjCZKF61Bt+unWCcUfBMUSm+YC1gEDx+lKQ/W2DNUlqGajaPeH8web2Y3F4sRcV0v/12NkttyCFVSi++mIS/j2h7+2Dg9nTOunoSvl7ivuzDsrWsDNfChfTuzd5zNKsVx9x5KKpG7773Bu937sVLiLa3ko5Ehh3TtXAx1opKYp0d+A/sH7ZetzsovuBCeVAeQa77ZioaoW/fXtLRU+nhJesupu/APtKR4e8brgWLyCgQPnpkcJmjto5wcxux7p7BZd5lS9AcNvr2vodr4QKSwSCJnp5hx3PW1eGcPz/nWVdCTLXp/r6ZSWd46+nXeO2Jrai6imYYWK1mFly5YuxshIyBr83HyYPNJKIJDAwcHjvFc8qmrvGzSKwnSCIQwTO/ApNjnF/MZAyO7T6Gw+1ANQwi/jC1a+bT29VHT1P2OeSmP/8A626+eBJbLsTZ5fVr+UQiwY4dO7j++uuHLL/++ut54403Rtxn27Ztw7a/4YYb2L59O8nk2PNlF7JMMkG07WT2RX8UeKRgSJZCuKlpxDXpWDT77e4obyJGKjliMAQg1tmJtfzUG4mRTBFtax1x23h39+A3q8POkU4T6+nCUlw84vrg0aPYSiuyLzIZYl0dGBmpOi0EQCYRJ3xy5P6dCofIJOI5OEeC4PFjg6+LVqzOBjbODIYAGBkibS1gMBgMAbCWlRNtbxvx+Mm+PixFRdn71AgxdyOTIdzWhu5wjBgMAQifbMZWXT34eiCDZEA6FgNNIxEMDgZDFE3LZoCMEAwBCJ9oIBOPETx2bMT1qUiYdHTkfUVupaPRIcEQS0kZ6Xh8xGAIQLjpBBaPd8iySGsLzrqhmaT+o8cwezzZY3q9IwZDAEJNTWQSifO4AiHE+eo52c1/fe0/ePVnL6NoChnDwKxplNRVjBkMCXYHOPDaPo7vOobJpKNqCmabmeKq0ils/exiKXaiWU0EmrpIJ4Z/4ToiVaGoqpi+zl5qVtZRXl9F0+7jGLEk3ooiAF549De88sTLUmhV5FVeh8x0d3eTTqepqKgYsryiooL29vYR92lvbx9x+1QqRXd3N1VVVcP2icfjxOOnHiICgZE/gOdVJjP4oV632UmN8oEesnU6MvHRKz4nQ0F0q23EANFoQYwsAyNz6oZkpFMjPswMHiuRyAZeRtgmFQxg9hYTbmoeti4diw/bNlufRIbNzDbTom9OMSOdHjG7a0AqEsHkdJ3fOYwMqXBo8LWiqSSDowVgIR2NjRwoGCOQmUkkSIVCo65PR6OkoiNX1AeyNUi0ofeEdCyerWHS//sxkimSgVNBGs1iHfKQPaxNySRGOjNmUCkRDGL2Fo26fraY7L6ZPON41uqqMf8GM8nEsL83I5VEOSMt3kimMFJpFF0jPVbAI5PJvh/aJDtRTC8z4X0znUzz9jOv88Z/v4Ju1kkbBnaPndISD/7WHjxzRv5CLeKP0HKgGX+3H6vDSs3SGjpOdAIKpXPLYBy1RsTEZOuceAm39hA40YlnfiWqdvbP7d5yLz3NXbQda6V+9XzcZR6a32skEY3jKnIS6A3xys9epq+jl5u/8AfoprxXcxCzUEE8gZ4ZBTYMY8zI8Ejbj7R8wIMPPojH4xn8mTt37nm2eBIoymBWRyaRQBtjOrDBwqej0MzWUQMfijb2jeb0wlWKOnYqsarrowZMVLOZdHzkhw5FVYdksKhm82BWjJhdpkXfnGIDhYtHk4vhMqBk+91p1DGGiSiainLG9mcrrKbq+rB9hqzXtLGvRVE4c/C4ajoVDBlo1+k1VTKp5NiFmhU1e/8Z436jWXNTo2W6m+y+qZ7xe04GQmMPVVJVUM74fxvpb1BR+ouPZ85aJFeGy4jpaLq/bzbuOc6Pvvx9XvvZFkw2C6FAhLkr5rFy42p6m7oomlc+rG/GQjGO7TzK/lffIxKKUL2omrnL59HT2kMylqCsthxNimJPOlVTsVcUkU6kCJ7oGvIl6lj7FM8poau5i2gogt3rYNGGZZTOqyAejGGzmsGAvS/t4cdf+3cC3f6zHlOIXMvrU2hpaSmapg3LBuns7ByWBTKgsrJyxO11XaekpGTEfR544AH8fv/gT3Pz8KyFfFNMJszF2VS/TDKBarKg6KYRt83E41grhmfCAKCqmDwe0rGRvyVVTDqa3THiOt3pIhk87VtjVcHUn3p8Js1mz84eMQpbRRXBxhMjrrPXzCEVOvWNhq1yDupZgi9iZpoOfXOqKSYdS8nIY6AVXUfLwTfaqtmMo+bUUINgw3Hsc2pG3d5ePQfVbB4SREkE/KNmUqgWC+lEAucYH9Ttc6rBYNT7iKWklHh39+BrzX7GPad/Zi1r6akU6UwigWLSRw382ioqUM1m7KcNxTmdomnnnX0zU0x23zS73UMCU5ETxzE5XaMG+63lFWTOyJyylJQSaesYssxWVZHNJjEM0onEqP3FXFQ0ZsBOiEI1Xd83e0528/Q3n+C//89PiEdiZBRIJJKsvfkiFl28hJO7j6FZTHhrTt3TY6EYDTuP8d6Wdwl2B6ior6R+zXycxS5aj54kEohQOrcMk0368lTRzDr2ci/JSIxgc9e4hroUVRZjMuuceO8EYKBqKlWL57B4wzJsThtmXUNFof1YO4998XscevPAWY8pRC7lNSBiNptZt24dmzdvHrJ88+bNXHbZZSPus2HDhmHbb9q0ifXr12Ma7YO1xYLb7R7yU2hUVcNeVYPuyH4Yj7SdxLN0+bCgiO50ojvsmL2eYQ8jiqbhWbSUZCCAa+GSYd+e2SqqSEejeJYuG/YtqGaz4aytI3wiG8SwVlSimi0459Wj24fOea5ZrLgXLcZIZ7BVnhGYURSc9QtQzBZKLliTnS7zNJbiYpzz5hHpr5fiqK1Dk4Kqs9Z06JtTTdV0nLV16Gc8mCu6jnfZKlTz+Rf8VBQFS1k51rJyAJK+nmyQpLZu2LaO2joyqRShE414l68azMCItrVin1ODfkaAVTWbcS9cTPDY0f77wRnHVBRcixaRTiQInWjAu2w56hn3bpPbjb2yikhbtkaJZrVSvHo1kdbsfUPRNNwLFxNpO0nc14178an7XaixAffiJcPuPSaPF0dtHaqe/f2ai864f+o6xWukoOqASe+bugnv8lVDAiDJeBzvilUj/N95cNTU0rd/76llLjeW0nLCzaeK+pq9HoqWL6N3d7ZYcPDYcTzLlg3LftIdDrwrVqCNEdQXolBNt/fN3jYfz//Lr/iPLz7CyQPNWDw2+nr8VC6sYsOHr6BkTim+xk4CrT7KF1ejaiqRvjDHdhzlvS3v4u/yUz6vnPo1C/BWeDEMaDl8klBviNK5pVid8hlyquk2M7ZyL4lAlMCJrrPWAVQ1lYr6CvzdfrpPnvqiw+qyMf+ixdSuqcdiNaEBqWiC//nmE/zqu08R8Y9cU0qIXMv7LDNPPvkkn/jEJ/j+97/Phg0beOyxx/jhD3/Ivn37mDdvHg888AAtLS38+Mc/BrLT7q5cuZLPf/7z3HnnnWzbto277rqLJ554YtzT7hZyRe5MMkkmmSAVjaJaLKiaRjoWI52Io9sdqLqJVDQCmQy6w4GRSpMMB1FN5mztkWSSdDCI2etFURWSoRBGJo3J5UZBIRHwo9rt6KbskJZ0NIpmt6GZLSRCIYxEIluQTlVJ+vtQTGZMDgfpRIJ0LIpmsWa//Y1GSMdimIuKUTBIBoMoqorudKLoJjSTiUwmQyYaJRkOk47HMbvcKGYTmWgElOyMDorJLGnLYlAh982plk4myMQTpKJhNJMZzWZDNVvOOlTl3M6RxEgmSIZCqJqOZrdjZDKDBZ11pwtUhVQwSCaVyvZ3wyAdi5KOx9EdTlSTnq0XEomgWa1oFiuZTJpUIIBiMmFyOjHSmWzNCEXB5HajKAqpSAgjlUZ3Z+9NqWiEzOAxTaRjMVLhMJrdng3g9t+TVJMpG6RVFNLhECgqut3RXxclfOqYikI6FiWTSKA7HKgWC9ppw2nSiQSZeJxkOIxmNmXvr5bc/n5nksnom6lUChLZv/FMIonJ6QTdBEaGdHTg/86ZzfoxGPy7Mzmy7x1GOk0yHCEdjWJyu9AsFhRVIxWJkI5FMTmcaDYrGAap/iKuusPR/3cqgS8xMxTq+2b70Vbe+dU2Dr6+D5PVjMVuwdfRi7vMw9LLluMp9wIQC0TY/+IOHCUurCUuOhvaCfpCmMw6RdUleMq8qFr2vpxKpjh58CSxcIzSuaXYXPYxWiAmWzISJ9rZh24z455XftapjlsOtxDuDbLiypXYnEP/7zKZDF0NHXQca8PIZDAUUM067/vU9Vx4wzq0PEyjLGaPvAdEAB555BG+/e1v09bWxsqVK/mnf/onNm7cCMCnP/1pGhsb2bJly+D2W7du5d5772Xfvn1UV1fz1a9+lbvuumvc5yvUNw8hZjvpm0IUJumbQhSmQuqbiWiCQ2/sZ/dvt9N2uAWr04Zu1ent6MPucTB/7UIq51cN1qtLRhPs/+0OUokUkUSSZDyJ1WGlqLoYV7FrSIA6EojQcqQFI5OhbG4ZZrvUeyoE6XiSSEcfiqLgqi0dc0reTCpD494GUGDF5SsxWYZn6WXSaZr3NdHX5kMBMoaBxWVj45+8jwvev1YCI2JSFERAZKoV0puHEOIU6ZtCFCbpm0IUpnz3zWQ8SeOuYxx8Yx9H3zpEMp7EWeIiHksQCURwFbuoXT2fytNmJYkGIrQeacF3uAUjbRBNJXGWuPGWF2F1Dn2gzqQzdDV30dvWg9luobSmDE1mIikomVSaaJefdCyJtcSFvcI76gw0iWiCE/sa0XWNJZcux2ofOVsvlUxxYm8DwU7/YHl11aSx+NJlXPnH11BcPXLdSCEmQgIi8sFOiIIhfVOIwiR9U4jCNNV9M5PO0HWig6a9jTTuOU7T3kbSyVQ2kKEqBPtCqKpGeV05c5bOpaiqmHQyTV97L76WbrqaOkmEYjisZhRVwV7mxV1+aljM6efp7cjuk04beMo9uIvdMrVugTIMg4Q/QrwvhKKq2Ms9WIucKCMERhLRBM37m8hk0tStnk9JVTFnzio3IBlP0nq0hd6TPWAYqIqCYRhYHFZqV9ez5v1rqb9gwbimABZiNBIQkQ92QhQM6ZtCFCbpm0IUpsnsm4lYAl9LDz1NnXSe6KD9SCvtR1tJxpPZmQitZpKJJIl4ElXXKKkuoaSmFJvbTjQYIdAVpK+rl3BvCAwwWUy4nDaIJ7G4bXjnlg2pO2EYBpFglEC3n0C3HyOTwe524C0vQjNLVsh0kEmlifeGSIZiKKqCxevA7HFgcgyt0ZVOpmg/1kbAF2TO4hpqFo8+0x30B8jafXQ2thMNRFHJFogfOKbNbadiQRVzl8+j7oJ6SmrKMcvsQ2KcJCAiH+yEKBjSN4UoTNI3hShM59o3U8kUiWiCeDhGLBwjFowS8YcJ+QL4O/vwd/oJdvsJ9gSJh2OD+ymaipHJkE5nMAwDRdOwOizoVjOqqpBOpYkGoiTjyf4dwOay4fA4cHiduIpdWJ1WOvY3Ew9F8daVk06kiEcTxKNxYqEo0WCUTCaDruvYvXZcRS40s8wGNR1lUmkSgSjJcBQjlQFVwWS3oNvM2b8Zs45m1mnadwKry8bi9UvGfexkIkWgq4/edh/BniBGOjMsQAKgqCpmuxlXiRt3mQd3mYeK+ircZR6sLhtWhxWLw4rZZkaXYViz2qwMiPj9frxeL83NzfLBTogp4HK5xjV7h/RNIaaW9E0hClOu+2bboZP86pv/c05tGHhEMLIvTv17DAqAqqIqyoijICyaiknTSKbSZzmImClURUFTRx/SEk+lSGYm/jhqGAZGxsgG6hRl8M/nXGeN++ADH2bOsrln3W68fVNMH7MyHBYMZqeUnDv37H/0QojzN95vrqRvCjG1pG8KUZhy3TcrXGX8+RWfwWa2DS5LpVNEklEyRga39Szn6n8AVAAMg9HCIwZAJs1o4Y6koWcfWgdqgcy6r2VnH8OAVDoz+FpRskGSgaBCOm2QTqdydC7j1J+U0X/8TBowUBWVUCKCqijYTTZ07dRjcCwZ433XX0t7oOOs55BMyZlnVmaIZDIZWltbpzzCFwgEmDt3rnzDNgb5HY3PdPs9jbev5atvTpXp9v9W6OT3ef6mum/OpP+zmXItch2FqRDfN2fa7/h0cm3TUz6ubaZ+Rp3NZmWGiKqq1NSMXbxnMrnd7hl3Q8o1+R2Nz0z7PeW7b06Vmfb/lm/y+5x8ue6bM+n/bKZci1zH9JSP982Z/DuWa5ueZvK1ickncxQJIYQQQgghhBBi1pGAiBBCCCGEEEIIIWYdCYhMIYvFwv/5P/8Hi8WS76YULPkdjY/8nqYn+X/LLfl9Tj8z6f9splyLXIcYr5n8O5Zrm55m8rWJqTMri6oKIYQQQgghhBBidpMMESGEEEIIIYQQQsw6EhARQgghhBBCCCHErCMBESGEEEIIIYQQQsw6EhCZYg8++CCKovDlL385300pOC0tLXz84x+npKQEu93OBRdcwI4dO/LdrIKSSqX4q7/6K+rr67HZbMyfP5+/+Zu/IZPJ5LtpYgwPPvggF110ES6Xi/Lycm677TYOHTqU72bNCHJPnV4eeeQR6uvrsVqtrFu3jldffTXfTTpnr7zyCh/84Aeprq5GURSeeeaZfDfpnM2ke9Kjjz7K6tWrcbvduN1uNmzYwAsvvJDvZs04M6HvjmQm9OfRzKR+fibp9yKXJCAyhd555x0ee+wxVq9ene+mFJze3l4uv/xyTCYTL7zwAvv37+cf//Ef8Xq9+W5aQfl//+//8f3vf5+HH36YAwcO8O1vf5vvfOc7/Ou//mu+mybGsHXrVr7whS/w5ptvsnnzZlKpFNdffz3hcDjfTZvW5J46vTz55JN8+ctf5hvf+Aa7du3iyiuv5KabbqKpqSnfTTsn4XCYNWvW8PDDD+e7KRM2k+5JNTU1/P3f/z3bt29n+/btvO997+PWW29l3759+W7ajDFT+u5IZkJ/Hs1M6udnkn4vcklmmZkioVCItWvX8sgjj/B3f/d3XHDBBTz00EP5blbB+NrXvsbrr78+Y75xmCwf+MAHqKio4N///d8Hl91xxx3Y7XZ+8pOf5LFl4lx0dXVRXl7O1q1b2bhxY76bMy3JPXX6ueSSS1i7di2PPvro4LJly5Zx22238eCDD+axZROnKAq//OUvue222/LdlPMy0+5JxcXFfOc73+Gzn/1svpsyI8zEvjuSmdKfRzPT+vmZpN+LiZIMkSnyhS98gVtuuYXrrrsu300pSM8++yzr16/nD//wDykvL+fCCy/khz/8Yb6bVXCuuOIKfv/733P48GEA9uzZw2uvvcbNN9+c55aJc+H3+4Hsm7eYGLmnTi+JRIIdO3Zw/fXXD1l+/fXX88Ybb+SpVWLATLknpdNpfv7znxMOh9mwYUO+mzMjSN+dOWZKPz+T9HtxvvR8N2A2+PnPf87OnTt555138t2UgnX8+HEeffRR7rvvPr7+9a/z9ttv8xd/8RdYLBY++clP5rt5BeOrX/0qfr+fpUuXomka6XSab37zm/zRH/1RvpsmxskwDO677z6uuOIKVq5cme/mTEtyT51+uru7SafTVFRUDFleUVFBe3t7nlolYGbck/bu3cuGDRuIxWI4nU5++ctfsnz58nw3a0aQvjszzIR+fibp9yJXJCAyyZqbm/nSl77Epk2bsFqt+W5OwcpkMqxfv55vfetbAFx44YXs27ePRx99VAIip3nyySf56U9/ys9+9jNWrFjB7t27+fKXv0x1dTWf+tSn8t08MQ733HMP7777Lq+99lq+mzItyT11elMUZchrwzCGLRNTaybck5YsWcLu3bvp6+vjqaee4lOf+hRbt26Vh6Mckr47vc2Efn4m6fciVyQgMsl27NhBZ2cn69atG1yWTqd55ZVXePjhh4nH42ialscWFoaqqqphN7Bly5bx1FNP5alFhel//a//xde+9jU+9rGPAbBq1SpOnDjBgw8+KAGRaeCLX/wizz77LK+88go1NTX5bs60JPfU6am0tBRN04Z9o9zZ2Tnsm2cxdWbKPclsNrNw4UIA1q9fzzvvvMM///M/84Mf/CDPLZv+pO9OfzOln59J+r3IFakhMsmuvfZa9u7dy+7duwd/1q9fz5/8yZ+we/du+eDe7/LLLx82Fdjhw4eZN29enlpUmCKRCKo6tNtqmibT7hY4wzC45557ePrpp3nppZeor6/Pd5OmLbmnTk9ms5l169axefPmIcs3b97MZZddlqdWzV4z/Z5kGAbxeDzfzZgRpO9OXzO9n59J+r2YKMkQmWQul2vYWD2Hw0FJScmMGcOXC/feey+XXXYZ3/rWt/jIRz7C22+/zWOPPcZjjz2W76YVlA9+8IN885vfpLa2lhUrVrBr1y6++93v8pnPfCbfTRNj+MIXvsDPfvYzfvWrX+FyuQa/afN4PNhstjy3bnqRe+r0dd999/GJT3yC9evXs2HDBh577DGampq466678t20cxIKhTh69Ojg64aGBnbv3k1xcTG1tbV5bNn4zaR70te//nVuuukm5s6dSzAY5Oc//zlbtmzhxRdfzHfTZoyZ0ndHMhP682hmUj8/k/R7kVOGmHJXXXWV8aUvfSnfzSg4v/71r42VK1caFovFWLp0qfHYY4/lu0kFJxAIGF/60peM2tpaw2q1GvPnzze+8Y1vGPF4PN9NE2OA/7+9ew+K6jzDAP4cFHBxl6srZLwA1gtrVBaCQVDYzZhASKdDamouOA0kJJUolZiLxJgxNMZLa6xaSpNqUzBRJ+ngLWJbb3W3NqggQY2IWAXUpkzVEYw4yG3f/pHhhFUui2IQeH4zzLjn+8533rOed9/db885izb/srOzezq0PoGvqb1HVlaW+Pv7i4uLi4SGhorVau3pkLrswIEDbeZzYmJiT4fmsL70mvTiiy+qx5Rer5fp06fLnj17ejqsPqcv5G5b+kI+t6cv5fmtmPfUnRQRkR9m6oWIiIiIiIiI6P7Ae4gQERERERERUb/DCREiIiIiIiIi6nc4IUJERERERERE/Q4nRIiIiIiIiIio3+GECBERERERERH1O5wQISIiIiIiIqJ+hxMiRERERERERNTvcEKEiIiIiIiIiPodTohQj0tKSsKTTz7pUF+z2YxXX331nsbjKIvFAkVRUFNT09OhEN1zXcnTrsjJyYGnp2eHfTIyMmA0GjvsU1lZCUVRcOzYsW6Ljeh+di9rkKIo2L59e7vtjubb/VSziX4I96pWEtG9wwkRIgfwTR3RvfHMM8/gzJkzXVqHbzipL3FkUvCHVlVVhbi4OIf78wsCou+sXbsWOTk5PR0GEXXBwJ4OgIiI+i+NRgONRtPTYRBRK35+fj0dAlGv5OHh0dMhEFEX8QwRQm5uLiZOnAiNRgMfHx88+uijuHHjBgAgOzsbBoMBgwYNQlBQEP7whz+o67WcMvvZZ58hMjISgwYNwoMPPgiLxaL2aW5uRnJyMgIDA6HRaDBu3DisXbu222JvaGjAggULMGzYMAwePBjh4eF222/55m337t0wGAzQarV4/PHHUVVVpfZpamrCvHnz4OnpCR8fH6SnpyMxMVH9BjopKQlWqxVr166FoihQFAWVlZXq+kVFRQgLC4ObmxsiIyNRVlbWbftH1KK35OnOnTvh6ekJm80GADh27BgURcGbb76p9pk9ezaee+45AG1/O75ixQr4+vpCp9MhOTkZN2/eVNsyMjKwYcMG7NixQ83H1vtSXl6ORx55BG5ubggODsahQ4fuaD+IHGU2m5GamorU1FS1jrzzzjsQEQAd1ymLxYIXXngB165dU4/njIwMAMDGjRsRFhYGnU4HPz8/JCQk4NKlS12OT0Sg1+uxZcsWdZnRaMTQoUPVx4cOHYKzszNqa2sB3H7JTEFBAUJCQjBo0CCEhYWhuLhYbausrMQjjzwCAPDy8oKiKEhKSlLbbTYbFixYAG9vb/j5+an7R3SvtFcvW84u/NWvfoWhQ4fC3d0ds2fPRkNDg7quiOA3v/kNRo0aBY1Gg+DgYOTm5tqNX1JSgh//+Mdwd3eHTqdDVFQUzp07B+D2Mxg7G6+6uhqzZs2CXq+HRqPBmDFjkJ2d3ek+ttT2rVu3dljz8vPzER0dDY1GgxEjRmDevHnqe4fMzExMnDhR7bt9+3YoioKsrCx1WWxsLBYuXOjAs07Uiwn1a//9739l4MCB8tvf/lYqKirkxIkTkpWVJdevX5d169bJAw88IFu2bJHy8nLZsmWLeHt7S05OjoiIVFRUCAAZPny45ObmyqlTp+Sll14SnU4nV65cERGRhoYGWbx4sRQUFEh5ebls3LhR3Nzc5PPPP1djSExMlPj4eIfiNZlMkpaWpj5OSEiQyMhI+ec//ylnz56VlStXiqurq5w5c0ZERLKzs8XZ2VkeffRRKSwslKKiIjEYDJKQkKCO8f7774u3t7ds3bpVSktLJSUlRdzd3dWYampqJCIiQl5++WWpqqqSqqoqaWpqkgMHDggACQ8PF4vFIiUlJRIVFSWRkZF38T9CdLvelKc1NTXi5OQkR48eFRGRNWvWyJAhQ2Ty5Mlqn7Fjx8qHH34oIt/lqIeHh9r2+eefi4uLi6xfv15Onz4tixYtEp1OJ8HBwSIicv36dXn66afl8ccfV/Oxvr5e3c+goCDJy8uTsrIy+dnPfib+/v7S2Nh4N08/UYdMJpNotVpJS0uT06dPq/mzbt06Eem4TtXX18uaNWvE3d1dPZ6vX78uIiIff/yx/PWvf5Vz587JoUOHZMqUKRIXF6dut6UGVVdXdxrjjBkzJDU1VURErl69Ks7OzuLp6SklJSUiIrJs2TIJDw9X+wOQbdu2iYhIbW2t6PV6eeaZZ+TkyZOyc+dOGTVqlACQ4uJiaWpqki1btggAKSsrk6qqKqmpqVGfG3d3d8nIyJAzZ87Ihg0bRFEU2bNnz10/70Rt6aheJiYmilarVY/lvLw80ev18vbbb6vrv/322xIUFCR///vf5dy5c5KdnS2urq5isVhEROQ///mPeHt7y4wZM6SwsFDKysrkz3/+s5w+fVpEbq+VnY03d+5cMRqNUlhYKBUVFbJ371754osvOt1PR2reiRMnRKvVyurVq+XMmTPy5ZdfSkhIiCQlJantiqLI5cuXRUTk1VdflSFDhsjMmTNFRKSxsVG0Wq387W9/u8v/FaL7GydE+rmioiIBIJWVlbe1jRgxQjZv3my3bMmSJRIRESEi378Yr1ixQm1vbGyU4cOHy69//et2tzlnzhx56qmn1Md3OiFy9uxZURRFvvnmG7s+06dPl4ULF4rIdx+2AMjZs2fV9qysLPH19VUf+/r6ysqVK9XHTU1NMnLkSLuYbp2IEfn+zei+ffvUZbt27RIAUldX59D+EDmit+VpaGiofPDBByIi8uSTT8rSpUvFxcVFvv32W6mqqhIAUlpaKiK3T4hERERISkqK3Xjh4eHqhEh7sbTs55/+9Cd1WUlJid22iO4Fk8kkBoNBbDabuiw9PV0MBoPDdap1DrSnoKBAAKgTJl2ZEPnd734nEyZMEBGR7du3S1hYmMyYMUOysrJERCQmJkbS09PV/q0nRP74xz+Kt7e33LhxQ23/8MMP1QmRjmIxmUwybdo0u2WTJ0+22xZRd+qoXiYmJrZ5LGu1Wmlubpba2loZNGiQ5Ofn262XnJwszz33nIiILFy4UAIDA6WhoaHN7beuT46M95Of/EReeOGFLu+nIzXv5z//ufziF7+wW+/gwYPi5OQkdXV1YrPZZMiQIZKbmysiIkajUZYvXy5Dhw4VEZH8/HwZOHCg+ppD1Ffxkpl+Ljg4GNOnT8fEiRMxc+ZMrF+/HtXV1bh8+TIuXryI5ORkaLVa9e/9999XTwtsERERof574MCBCAsLQ2lpqbrso48+QlhYGPR6PbRaLdavX48LFy7cdexfffUVRARjx461i9FqtdrF6Obmhh/96Efq4wceeEA97fjatWv43//+h4cfflhtHzBgAB566CGH45g0aZLd2ADu6LRmovb0tjw1m82wWCwQERw8eBDx8fGYMGEC/vWvf+HAgQPw9fVFUFBQm+uWlpbaxXpr7J1hPlJPmDJlChRFUR9HRETg3//+N44ePepQnWpLcXEx4uPj4e/vD51OB7PZDAB3lJdmsxklJSW4cuUKrFYrzGYzzGYzrFYrmpqakJ+fD5PJ1Oa6paWlCA4Ohpubm93+Oap1TgL2NZiou7VXL1u333os19bW4uLFizh16hRu3ryJxx57zC5fP/nkEzVfjx07hqioKDg7O3caiyPjvfLKK/jss89gNBqxYMEC5Ofnd2l/O6p5RUVFyMnJsdt2bGwsbDYbKioqoCgKoqOjYbFYUFNTg5KSEqSkpKC5uRmlpaWwWCwIDQ2FVqvtUkxEvQ1vqtrPDRgwAHv37kV+fj727NmDzMxMLFq0CDt37gQArF+/HuHh4bet05mWN4Z/+ctfMH/+fKxatQoRERHQ6XRYuXIljhw5ctex22w2DBgwAEVFRbfF1PrF+9aipSiKem33rfG2uLW9I63Hbxmn5f4JRN2ht+Wp2WzGxx9/jOPHj8PJyQnjx4+HyWSC1WpFdXV1ux+8ugPzke43jtSpW924cQMxMTGIiYnBxo0bodfrceHCBcTGxtrd78BREyZMgI+PD6xWK6xWK9577z2MGDECS5cuRWFhIerq6jBt2rQ21+1KPWxLWzWYOUn3Snv1srN61vq43LVrF4YNG2bX7urqCgBdugm4I+PFxcXh/Pnz2LVrF/bt24fp06dj7ty5+OCDDxzaRkc1z2azYfbs2Zg3b95t640cORLAd/V63bp1OHjwIIKDg+Hp6Yno6GhYrVZYLBZ1IpaoL+OECEFRFEydOhVTp07F4sWL4e/vjy+//BLDhg1DeXk5Zs2a1eH6hw8fRnR0NIDvblBaVFSE1NRUAMDBgwcRGRmJOXPmqP07+1bMUSEhIWhubsalS5cQFRV1R2N4eHjA19cXBQUF6hjNzc0oLi6G0WhU+7m4uKC5ubk7wia6I70pT6Ojo3H9+nWsWbMGJpMJiqLAZDJh+fLlqK6uRlpaWrvrGgwGHD58GM8//7xd7K0xH+l+c+sxevjwYYwZM8ahOtXW8Xz69GlcuXIFK1aswIgRIwAAR48eveP4Wr4J3rFjB06ePImoqCjodDo0Njbio48+QmhoKHQ6XZvrjh8/Hp9++inq6urUD4Nt5SQA5iXdF9qql9u2bQMAHD9+/LZjWavVYvjw4fDy8oKrqysuXLjQ7sT9pEmTsGHDBjQ2NnZ6lsj48eM7HQ8A9Ho9kpKSkJSUhKioKLz55psOT4h0JDQ0FCUlJRg9enS7fcxmM9LS0pCbm6tOfphMJuzbtw/5+fkd1muivoITIv3ckSNHsH//fsTExGDo0KE4cuQILl++DIPBgIyMDMybNw/u7u6Ii4tDfX09jh49iurqarz22mvqGFlZWRgzZgwMBgNWr16N6upqvPjiiwCA0aNH45NPPsHu3bsRGBiITz/9FIWFhQgMDLzr2MeOHYtZs2bh+eefx6pVqxASEoIrV67gH//4ByZOnIgnnnjCoXF++ctfYvny5Rg9ejSCgoKQmZmJ6upqu7NGAgICcOTIEVRWVkKr1cLb2/uu4ydyVG/LUw8PDxiNRmzcuFH9tZro6GjMnDkTjY2NHX7jlJaWhsTERISFhWHatGnYtGkTSkpKMGrUKLVPQEAAdu/ejbKyMvj4+PBnDqnHXbx4Ea+99hpmz56Nr776CpmZmVi1apVDdSogIAC1tbXYv3+/ejr/yJEj4eLigszMTKSkpODkyZNYsmTJXcVoNpsxf/58hISEwN3dHcB3eblp0ya714pbJSQkYNGiRUhOTsY777yDysrK2z6s+fv7Q1EU5OXl4YknnoBGo+Fp9tQjOqqXJ06cQENDg3osnz9/Hu+++y5SU1Ph5OQEnU6HN954A/Pnz4fNZsO0adPw7bffIj8/H1qtFomJiUhNTUVmZiaeffZZLFy4EB4eHjh8+DAefvhhjBs3zi4WR8ZbvHgxHnroITz44IOor69HXl4eDAZDtzwX6enpmDJlCubOnYuXX34ZgwcPRmlpKfbu3YvMzEwA3589tmnTJuzYsQPAd68Vr7/+OgC0e+YYUZ/SkzcwoZ536tQpiY2NFb1eL66urjJ27FjJzMxU2zdt2iRGo1FcXFzEy8tLoqOjZevWrSLy/Q2dNm/eLOHh4eLi4iIGg0H279+vrn/z5k1JSkoSDw8P8fT0lFdeeUXeeuutTm+Q2J5bb27a8usYAQEB4uzsLH5+fvLTn/5UTpw4ISJt36xu27Zt0vrQb2xslNTUVHF3dxcvLy9JT0+XmTNnyrPPPqv2KSsrkylTpohGoxEAUlFR0eZN5IqLi9V2ou7S2/JUROT1118XAHLy5El1WXBwsOj1erubT7aVo0uXLpUhQ4aIVquVxMREWbBggV0sly5dkscee0y0Wq0AkAMHDqj72XKTRxGR6upqtZ3oXjGZTDJnzhz1F8q8vLzkrbfeUo/zzuqUiEhKSor4+PgIAHn33XdFRGTz5s0SEBAgrq6uEhERIV988YVDNzJtz9dffy0A5I033lCXrV69WgBIXl6eXV+0uqmqiMihQ4ckODhYXFxcxGg0qr8q0zrf3nvvPfHz8xNFUSQxMVF9bm69IXl8fLzaTtTdOqqXLXVs8eLF4uPjI1qtVl566SW5efOmur7NZpO1a9fKuHHjxNnZWfR6vcTGxorValX7HD9+XGJiYsTNzU10Op1ERUXJuXPn7Lbh6HhLliwRg8EgGo1GvL29JT4+XsrLyzvdT0drXkFBgVovBw8eLJMmTZKlS5fajfXUU0/JgAED5Nq1a2rM3t7eEhYW5tiTTtTLKSJ3eXEo9VuVlZUIDAy87fKS3s5ms8FgMODpp5++62/kiHpaX81TovuF2WyG0WjEmjVrejoUIupAUlISampqsH379p4OhYjuI7xkhvq98+fPY8+ePTCZTKivr8fvf/97VFRUICEhoadDIyIiIiIionuEP7tL940LFy7Y/TTYrX/d8VO9bXFyckJOTg4mT56MqVOn4uuvv8a+ffu67RpOor6kp/KUiNoXFxfXbk4uW7asp8Mjoi5atmxZuzkdFxfX0+ER9Sm8ZIbuG01NTaisrGy3PSAgAAMH8qQmop7EPCW6/3zzzTeoq6trs83b25s3AifqZa5evYqrV6+22abRaG77GV8iunOcECEiIiIiIiKifoeXzBARERERERFRv8MJESIiIiIiIiLqdzghQkRERERERET9DidEiIiIiIiIiKjf4YQIEREREREREfU7nBAhIiIiIiIion6HEyJERERERERE1O9wQoSIiIiIiIiI+p3/A237PlGsVPBnAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1097.74x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(iris_data,hue=\"petal_length\")#hue must always be categorical variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "6e3df688",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/souravghoshhansda/anaconda3/envs/notebook/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7fa74169f640>"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+ldQCEfNTqItiWzHrCtbxyZZPKHeUMzhhMFd3uRqX28UF8y/w2y6nlquZd/48HC4HMzbPYEPRBuJ0cdzU/Sa6RHXB7raztXgrs7fOptBWSLfobtzQ9QZSTCnN9gaOINQnEWBpIW9El03/D6/Xy71ntQ/Y/79ftpEaZeDdK49f0lAQmkpLnJt15XQ7Ka8uRyFT+JRmDqaqugqb24ZOocOg9q8qBvDD7h948p8naRvelrNan4VWoWVT0SaWHlxKm/A2fDTmIyK1kfX9VOqVy+2irLrshH8vQt2IuSk0NUu1Bbvbjl6pP+6XtGxLNufPOx+7217TlhqWyu09bydcE06KKYVkU3JNX6m9FLfXTbg6HKVCGeiSzZqYn0J9KHOU4fK4MKlMuL1uHl3+KIsyFwU8dnKXydzT+x6cHidVzio0Co3f9p9CayEOt4MwdRhhGvHvUjh9hN67iBDQviILg9Kjg/bHh2nZV+Rfak0QhOZNpVARrQs+t49lUBswEDiwcti6/HUA7Cnbw56yPT59e8r2BMxJ0NwoFcqT+r0IghDajGojRgLnmjqW1Wn1Ca4A7K/Yz4PLHgTgleGv+ARYRJBWEPDJO1RkK2Jnyc6gx24q3ITdZceoNqJT6gIeU9sWPkFoyUQOlhagyuEiv8JBYnjgJG4AcWFaDhRXiezdgiDQLqJd0L5EY6LfvmpBEIRQolVqa30dizfEN+JoBCH0aBQanyDksdLMaSJPkSAEIQIsLcD+YmllSoI5eIAl1qShqtpNmVWUahaE092oVqOCVua4tfutROvFyhBBEEJXlDaKCW0mBOxLNCSSaEhs5BEJQmgxqU3c0v2WgH0yZFzR6QpUclUjj0oQQoMIsLQAh7f+xIcFXqIHEGOSosyZJdZGGZMgCM1XvD6eD0Z/4FOlSC6TM7nLZIYlBy/ZKAiCEAr0Kj139rqToUlDfdpTTCl8MPoDYg0iIbYgHE/7iPY83P9hn0CKTqnjlRGvkGwMvrpFEE53Yh14C3Cg2IpRo8SoDf6fM/ZQ+ebMEis9UsIbaWSCIDRHKoWKXrG9+Hbit+RZ87C5bCQbk4nSRWFQ1Z6/RRAEIRTE6eOYOmwqxbZi8qryiNBGEK2LFtXGBOEEhWnCuLDthYxMHkmWJQuFTEGiMZFoXTRqReBVsIIgiABLi3CguIp4c+37II0aJXq1guwyWyONShCE5kwpV5JgTCDBmNDUQxEEQWgQ4ZpwwjXhtAlv09RDEYSQpFPpSFIlhVzpckFoSmKLUAtwoNhKjCl4/pXDYowasktFgEUQBEEQBEEQBEEQ6ptYwdICHCi2MjA96rjHRRs1ZJWKHCyC0FLZXXaKbEVYnVb0Kj1Ruqig5RMFQRBChdVppdhejM1lw6AyEK2NFhVMBOEkOVwOimxFVLmq0Cl1RGmj0Kv0TT0sQWhxRIAlxDlcbvIr7MSGHf+DRpRRXZMQVxCElqXQWsgHmz7gh90/4PQ4UclVXNDuAm7tfisx+pimHp4gCMIpKbAW8Oa6N/l176+4vC40Cg2Xd7yca7tcS7ROVDwThBNRZCti9tbZzN0xF4fbgVKmZHz6eO7ufbfISyQI9UxsEQpx2aU2vECc6fgBlmijhhyRg0UQWhxLtYXX177O1zu/xumRSrE7PU6+3vk109ZMw1JtaeIRCoIgnLxyRzlP/fMU8zPm4/K6AHC4HczaOosZm2dgc4nPNIJwPDaXjY82fcSsrbNwuB0AuLwufsz4kWf/fZZye3kTj1AQWhYRYAlxh8sun0gOlmijmqpqNxV2Z0MPSxCERlRsL+bnvT8H7Ptl3y8U24sbeUSCIAh1V2wrZnn28oB9X+78kiJbUSOPSBBCT5GtiK93fR2wb2nWUkocJY08IkFo2USAJcQdLLGilMuIMhy/XFqUUVrlIlaxCELLUu4ox4s3YJ8XL+UOcXdKEITQk2/ND9rn8riorK5sxNEIQmiqrK7E5XEF7a9tngmCcPJEgCXEHSy1EW3UIJfLjnvs4SCMCLAIQstyvCR1h/s9Hk9jDEcQBKFehGvCa+3XK/V4vV48XvHaJghHO3pO6JW1f0Y43jwTBOHkiCS3Ie5giZVo0/FXrwBE6NXIZZBdZm/gUQmC0JiitFF0ierC1uKtfn1dorqgkquYtmYamZWZDE0cyuCkwSQaE5tgpIIgCCcuWhdNalgq+yv2+/UNThyMy+PiqX+eospZxbltzqVTVCeRsFM4rRVYC9hatJWf9/6MUW1kUrtJxBviGZgwkP9y//M7Pi0sjSjt8SuRCoJw4kSAJcQdLLGeUP4VALlcRqRBTV65WMEiCC1JhDaCV0e8yh2L7mBv+d6a9jRzGs8MfoZrfr2mZo/1osxFRGgimH3ObNLMaU01ZEEQhOOK0cfw9hlvc9vC28iyZNW0d47szB097+Cq366iyilVR/zjwB90jurMW6PeIs4Q11RDFoQmk1+Vz+2LbmdX6a6atu93f8/1Xa/nyUFP8n9//R/bS7bX9CWbknn7jLdFpUFBqGciwBLiskptdEk0n/DxkQY1ueViBYsgtDTJpmRmjJlBnjWPXEsuCcYEzBozkxdM9ktgV+oo5bn/nuONkW8QpglrohELgiAcX6o5ldnnzCavKo/8qnySTEmoFWqu/e3amuDKYduKt/HL3l+Y3HUycpnYBS+cPtweN9/v/t4nuHLYJ1s+YWzqWN4/633yrflkV2YTZ4gj3hAvVnwJQgMQAZYQZnG4KLM5iTmBEs2HRRrU5IotQoLQIkXro4nWR9M1uisAfx74kwJrQcBjV+etpsxRJgIsgiA0e7H6WOmLYIz0RfLxFY9TUV0R8Nivdn7FxDYTxV154bRSbC8OWikI4Jud3/Dk4CeJ0kXROapzI45MEE4/IrwfwrJLpa0+Jxdg0ZAjtggJwmnB6rTW2u/2uhtpJIIgCPXDi7fW1za72y6S3gqnHa/Xi90V/AZqRXWFmBeC0EjECpYQllUqfcCINp54gCXKoCa/wo7X60UmO37lIUEQQtfhlSyBdI7sjE6pI7MiE5fHhVFtPO5S4UJrIRXVFajkKswaM2bNiW9PPJ7K6kpK7aU4PU5MapNYtiwIp5EiWxEVjgoUcgVmtZlwbTguj4tCayFWlxW1Qo1KpqLKVYVOqeOaLtew+ODigNcalTKqXl+bBKGpOFwOiuxF2F12dEodMboYVApVwGPDNGGMShnFjpIdXNrxUiI0ESjkCrYVb+Obnd8wse3EZr9tzuP1UGAtoMpZhVqhJlITiUFtaOphCcJJEwGWEJZVakMplxGuD/xiG0ikQY3d6aHC5sJ8EucJghB6onXRXNj2Qr7f871Pe7IxmeeGPMcTK56oqSqQaEjkkQGP0C+un98HGqvTyvqC9fzvv//VJJrsF9+PJwc+Sao5tc7jzKzM5IX/XuCfnH/w4iVOH8cj/R+hf0J/TGpTna8vCELz5HA72FK0hWf+fYZ95fsA6BbdjScHPcmO4h28vPplKp2VqOQqzk49m9GtR/PMv89wWYfLeGnYSzz898N48dZcz6QycX3X69EqTyz5vyA0V4XWQmZunck3O7/B7pYCLFd3vprLO15OtC7a73idUsetPW5lU+Em3t34LlmV0nt1n7g+vDLiFdqGt23sp3BSyh3lLMtaxmtrXqPYXoxcJmdUyige7PegqHoohJzmHcoUapVdZiPaqEF+EitRIg1SSefcCrFNSBBaOrPGzN297+a5Ic+RGpaKQWVgYMJA3j3zXW5deKtPycacqhzuWnwXO0p3+F1nd+luvyoeq/NWM3nBZHIsOXUaY15VHtcvuJ4VOStqvijlW/O59697A5adFgSh5cisyOTG32+sCa4AbC7azHULriNaH43FaQHA6XHy896fmbN9Dld2upL3Nr7HzpKdvDT8JWJ0MYSpwzi/7fnMnTCXZFNyUz0dQagXlY5Kpq2dxmfbPsPulrb92Fw2pm+azsebPg66Ra7MUcajyx+tCa4ArM1fy4PLHsThdjTK2E/Vf7n/8ejyRym2FwPSapZFmYu49c9bg+aSE4TmSgRYQlhWqZVok/qkzok6HGARlYQE4bQQpYvi/LbnM2vsLH4870deH/k6O0p2UGgrDHj8q2tepcxeVvNzuaOcN9a94XOX+LBiezErc1fWaXxbi7aSb80P2PfK6lcosZcE7BMEIbRZnVY+3PQhLq/Lr8/itLAydyX94vv5tK/MW0n7iPYoZAo+3/453aK78eWEL/n+3O95bMBjtA5r3ey3QQjC8ZTYS/hl7y8B+77a+VVNEOJoFY4K3lz3ZsD36hJ7Cf/m/Fvv46wvBdYCpq2ZFrBvX8U+9pfvb9wBCUIdiXehEHawxEa04cTzrwCY9SpkQL4IsAjCaSVKF0WcIQ6j2ljrB61txdtq7pgB2F12thRtCXr8iuwVeL3+H+hO1Mq84AGaXaW7cLia9103QRBOTZWzio2FG4P2byveRpo5za89ryoPs8ZMtaeaiuoKYvWxxBnixLYgocUothcHDJQAuLwuyh3lfu02l43NRZuDXnNFzopmm+TW7rKTUxV8Neymwk2NOBpBqDsRYAlh2aXWk6ogBKCUywnXq8irEAEWQThdtTa3DtoXo4tBIVPU/KyQK2otd9oqrFWdEma3MrUK2hepjfQZiyAILYdaoSZWFzyZdYwuhjJHmV97uCa8ZouETqlrqOEJQpMxqoy19gf6d6+QK2pNDt/K1KrZru5SyVW1zmWRg0UINc1zpgnHZat2U2J1nlQFocMiD1USEgTh9DS69eiggYsbut7gk0AvWhfNjV1vDHisXCZnYpuJdRrL8OThKGWB861f10XKwyAIQstj1pi5ufvNQfvHpI5hWdYyn7ZYfSzVnmrsbjt94/oSqY1s6GEKQqOL1EUGXL0FUhLoQP/ua3uvliHj3DbnntJYimxFrM1fy3P/PsfUlVPZXLSZUnvpKV0rmGhdNJd0uCRgn1ahpUdMj3p9PEFoaCLAEqKyy6QktSe7ggUgQq8mT2wREoTTVpgqjKnDpqKW++ZwGtN6DCNSRvitSBmRMoIL217o06aSq3hl+CvE6+PrNJY4Qxxvn/E2GoXva9mY1mOY0GZCs73jJghC3XWP6c51Xa7zaVPIFDw64FF2lOzA5jqSkD9KG8XTg55m+qbppJvT+d+Q/4lyzEKLFK2L5q1Rb5FgSPBpbx3WmpeGv0SENiLgecOShzGp3SSfNpVcxSsjXiHeePLv1YXWQp5c8SSTF0zm611fM2fHHK745QreWPsGJbb6y4+mUqi4pvM1DE4c7NOuV+r5YPQHxBni6u2xBKExyLx12TwfoioqKjCbzZSXlxMWFtbUwzklf+0sYPLM1bx1Wa+TDrJ8smIfmcVWfr9veAONThBOTUuYm6FgV+kuXl39Kpd3vJxCWyEWp4U25jZsKtoEXritx20oFb6rSsod5RTbitlavBW9Uk/HyI5E6aLqJe9BtbuaQlshu0t3U1FdQeeozkTrognXhNf52kL9EHNTaCiV1ZUU26SE2S6vixRTCr/v+53usd2J0ESQbcmmQ0QHYvQxHCg/QIw+hkRjYq1bF083Yn62TPlV+WRZsjhYcZDW5tYkG5OP++++wlFBsb2YLUVb0Cv1dIjsQLQu+pTeq+dnzOex5Y8F7Pt4zMcMSBhw0tesTYm9hEJrITtKdhCpjaRNeBti9bEo5YFXuQpCcyX+xYao7DIbctmRsssnI1KvZvU+UZlDEE5Xv+z9hX9z/+Xf3H+lD14KLXlVebi8LsLUYVza4VJiDb57uc0aM2aNmfTw9Hofj1qhJsmYRJIxqd6vLQhC82ZSm7A4LXy+/XNsLltNVbH5e+ejU+qI0kVxTcdrGJw0mHYR7Zp4tILQeOIMccQZ4ugT1+eEzwnThBGmCQu6xehEldpL+WzbZ0H7v9j+BT1ietRrculIbSSR2kg6RHaot2sKQlMQAZYQlV1qI8qgQSE/+eSSEQY1ZTYndqcbrUokkBSE083RiSOLbEU+fVanFQ/Ns9KAIAgtk8frYX/Ffr92m8tGVmUWhfbAZeUFQWgYbq+bKmdV0P7K6krcHncjjkgQQkfIbW5PTU1FJpP5/bnjjjuaemiNKrvMRrTp5FevwJFVLwUVovypIJyOxrQeE7RvcNLg4BUMLAVQvAdK94O9smEGJwhC06jMhaI9UHoAqq2N+tBGlbHWRJbDkoc14mgEoQHYyqBkHxRnQFXRcQ9vama1mVEpo4L2j00bi0FtaMQRCULoCLkAy+rVq8nNza358+effwJw8cUXN/HIGlfWoRUspyJSLwVYRKlmQTg9tYtoR+eozn7tarmae3vfi1F9TIDFaYP9K2D2RHi7D7zVE76/EUr2Ns6ABUFoOLZy2D4fZoyBd/pIf36ZAuVZjTYEs8bMw/0fDlhRrE9sH1JMKY02FkGoV14vFO6Cr6+V3jvf7g2fXwhZa8BV3dSjC0qlUHFZx8sIU/vn9Ik3xDM8SeRxFIRgQi7AEhMTQ3x8fM2fn3/+mTZt2jBixIimHlqjyiq1nlIFIYAIgwoQARZBOF3F6mN5a9Rb3NTtJswaM0qZkuHJw/lywpekhqX6n1CwA2ZPgMId0s9eL+xaADPHNeqXMEEQGsCB5fDV1VCWKf3sdsLGufDFJVCZ12jDaBfRjjnj5zAoYRAKmYJIbSR39LyDl0e87FM6XhBCStlB+GQM7PvrSFvuRpg5FkoymmxYJyLZmMyc8XOYkDYBtVyNTqnjsg6XMevsWSQYE45/AUE4TYV0Dpbq6mo+//xzpkyZ4ldWtCWrdnkoqHAQbTy1AItOpUCrkpMvSjULwmkrzhDH7T1v59KOl+L1ejGqjP4rV0Ba1rzwafAGyMtSmQv7l0OPyxp6uIIgNITKPPg9cJUQCrZK2xlMdSvFfqI0Cg2dojrx2sjXsDqtyGQyorRRKOQiV5wQorxe2P4j2Er9+9xOWPYqnPsWNNOtNjKZjNZhrXly8JPc0+ceZMiI0EagVpxaigJBOF2EdIBl3rx5lJWVMXny5FqPczgcOBxH8o1UVFQ08MgaVl65HS8QbTy1FziZTEakQS1WsAhNrqXNzVCjlCuJ08fVflB1FWStDN6/awF0vxROoyD36UDMzdOE0wql+4L3H1wJqUMabzxIVYVMalOjPmaoEfMzRDitsGdh8P7Mf8BR2WwDLIfplDp0Sl1TD0MQQkbIbRE62owZMzjnnHNITEys9bipU6diNptr/qSkhPZe3qwyKflczCmuYAGI0IsAi9D0WtrcbJHkajhcslkXAWkjoNVAkB+Kz4eniuBKCyTm5mlCrgJVLV+cwkTp9OZIzM8QodDUPocMsSBWgwhCiyPzer3eph7EqThw4ADp6el8//33nHfeebUeGyjSn5KSQnl5OWFh/smbmruv1xzkwW83Mfu6/qiVpxYje2/JHqxON9/dNrieRycIJ66lzc2WIL8ym3xbEX8eWIgHD2e1OosEtRnl3mUcMEXyV9F6TEo9Z8b0JnbbL5j63QyxHZt62EI9E3PzNOFywO+Pw+rp/n1pI2D8a9I2wKJdUmA1qQ/lWhP5VfkszFyIw+XgzNZnkmxMJlIXWXNqblUumwo3sbFgI+nh6QxMGEi8IR7locBshaOCvKo8FmUuwu6yM6rVKFJMKUTpohrrmYc0MT9DSM4GmB4kT+SlcyC5j5TfbPefYIyBDuPBlACaINX8GlmJvYRsSzaLDixCKVcyuvVo4gxxhGvCg55TVV1Fvi2fpQeXkmPJoW98XzpHdiYlTAQChdNDyG4RmjlzJrGxsYwfP/64x2o0GjSaU1/t0dxkl9qI1KtPObgCEGFQs/dAgD2hgtCIWtrcDHV5ldm8vfE95mfMr2n7dNunjG09lmu7XMvkXy+vaX97+6fc1+NOLjJGIz7Otzxibp4mlBoYdh/kb4LM/460Jw+AoffBB0OkIAzAf+9RdvZzzFA6mLXt05pDP9n6CaOSR/HkoCeJ1kezr3wf1y24jmJ7cc0xGoWGj8Z8RPfo7lQ6K5m9ZTYfb/nY5xrDkobxzOBniNHHNPjTDnVifoaQiDQY+yL8/oiUk+WwvtdDfFf4/CLI33yk/c+n4Lx3ofP5TR5kKbIV8cLKF/jzwJ81bR9u+pArO13JLd1vIUIb4XeO1WllZd5K/u+v/8PldQHw5c4vSTQk8uHoD0k1pzbW8AWhyYTkFiGPx8PMmTO59tprUSpDNkZ0yrJKbUSb6rakMNKgJr/CjscTkguYBEFoANtLd/oEVw5bcGABBy0H6R3b26f99Y3vkHvUlyhBEEJQWCJc8hnctBjOeRkung0XvA/fTD4SXAHQRbAvpo1PcOWwJVlL+CfnH8od5Tzy9yM+wRUAh9vBXYvvotBWSGZFpk9w5bC/s/9madbS+n52gtC0dGbodTXcuRbOew/GT4PbV8KoJ+G/932DK4fNv1NKIt/EVuWt8gmuHPbF9i/IKAtcAanAWsCDyx6sCa4cllOVw8urX6bEVtIgYxWE5iQkAywLFy4kMzOT66+/vqmH0iSySq1E1SH/CkgBFpfHS4m1up5GJQhCKCu1FjF3x5dB+7/a+RVXdrrSr33ennkNOCpBEBqFMRaS+sCAW6DL+dKXO3uZzyHV7c9mzsHgCTtnb5tNqb2UrcVbA/aXO8rJseTwzc5vgl7js22fUWwTQVuhhdEYIaoN9LoS+t0gbat1VcG62YGP93qlBPJNqMxexuwtQcYHfL79cxxHB2AP2V6yHYfbvx1gefZySh1i9bzQ8oVkgGXMmDF4vV7at2/f1ENpElmltjoluAUpwAJSRSJBEASnu5qK6uCVKCocFWgU/q87RbYiQjSVlyAIwdj9XwvcaiNlTkvQUyqqK3B73bVe1uK0UOWqqtM1BKFF8HqkKkPBWAobbywBuLwuKpzBPxOUOcpwepx+7eWO8qDnePHidPufIwgtzem3vybEudwe8srtxJjqL8DSNclcH0MTBKGpeTxgyQOXHZRaMMaDPHgc3eayUWovxe11Y1aGMSRxSNC7z2enno1CpuC1Ea8B8G/Ov/yy7xfOTj0bmagiJAgth9cL0e2lrUIuG2z6BvYuRpezjrP6XsJ/uf8FPG140nCMaiNh6rCAwVoZMlKMKQxNGhpw2wHAuW3OBeBg5UEUMgVR2ig0SpFrRGgBHJVgLZHml9YMahMk9YXsNYGPbz+mccd3jDB1GMOShjF3x9yA/We1OguDyr+8dLfobihkCkamjGRM6zEo5UpK7CV8s+sbKqsrMaqbR/JeQWhIIsASYnLL7bi93jqvYDFrVSjkMlGqWRBaiqpC2Pwd/P0KVBWBIRqG3Q/dLgKDf9LIHEsO72x4h9/2/YbL46JLZBemDp/KN7u+8VvCO7rVaPrH9+el1S+xtXgrSpmSUa1G8c4Z75BmTmusZygIQkOrKoadv8KS56VtQroI6DMZuk2CH+9kuOkR4vRx5FvzfU7TKXVc0+UaorRR3Nf7Pp757xm/S09In8Ave3/hzNZnEm+IJ68qz6f/vDbnMTBhILf8eQt7yvaglqs5t+253NL9FuIN8Q35rAWhYRVnwJ9PwM7fpJUrKQNh3Csw8Q34cLjUdrSEnhDVtilGWkOtUHNlpyuZnzGfKqfvqrNoXTRntDoj4M2VKF0UH47+kIUHFvLMv89gdVlJNiVzfZfraRPehmRTcmM9BUFoMo2+Rai6upqsrCwyMzN9/ggnJqvUBkB0HVewyOUyIvQqsUVIEFqCaiuseBsWPCQFV0D6/wUPS+3Vvh+O8qvyufGPG/kp4ydcHikR3daSrby8+mVmjp3J6NajUcgUKGQKJqRN4IZuN3D979fXrG5xeV38eeBPnljxhFjOLwgthcsB6z/3TbBpK4Xlr0PGEhj1KAkomXX2J5zX5jyUciUyZIxIHsHc8XNJNiZLZVxTR/P6yNdpHdYakL6M3dHzDnrH9Wb65unctfgu3hz1Jhe0vQCVXIUMGee3PZ8J6RNqgisA1Z5qvt31LXcsvIMCa0FT/VYEoW7KMuGTs2HHL0cCKQf/gxmjQaGGGxdCcn+pXW2EQXfB5XPB1PRBxcOrVoclDUMuk6OUKzk79WymDp2KXBb4K6RaoeaTLZ/w5c4vsbqkLVBZlVk8+9+z5Fblii3Fwmmh0Vaw7N69m+uvv55//vnHp93r9SKTyXC7xYf0E3GwVHqxqusKFpC2CYkVLILQAlgKYOV7gftWvieVg4w8spR3a/FWDlYe9Dt0efZyNAoNjw94lHt73Q2AXqnjiX+e9qsIAFJVgPUF6zkn7Zz6eR6CIDQdSz4seylw35ZvpconMR1IBh4b+Bh39LoDvGBSm3yW/Zs1Zs5qfRbtItqxs2QnFdUVzM+Yz/qC9QDkW/O59c9b+Xri19zW8zbwglwm545Fd+DF/8vXrrJd7CvfR6w+tiGetSA0HK9XWhFWFSCfissuBS8nTIMrvpJuhMjk0opTZd0qhdYHh8vBjC0zWLBvAee2OZdXhr+Cx+vhn5x/uGvxXdze83au7XKtX6CloKqAf3L+CXjNaWun0TeuL3GGuMZ4CoLQZBotwDJ58mSUSiU///wzCQkJYs/+KcoqtRGpV6NW1n3xUYReTU6ZrR5GJQhCk7IWQbDEcW6n1B+ZWtO0JHNJ0EstObiEh/s/TCuzdHx+VT5r8oPsEQcWHVjE2NSx4jVdEEKdrdRvtVsNrxcqciGmAyBtCdIpdbVeLrMik/9b+n8B+0odpZQ5yugY2RGA7MpsdpbuDHqt/3L/Y0DCgBN4EoLQjDit0ragYPYtlRJKm+JBH9l44zoBlc5K/sv5D4vTwpwdc5izY45P/9KspVzc/mK/nCrbSrYFvWaBtcBvu5EgtESNFmDZsGEDa9eupWPHjo31kC1SVomVaFP9RLajDGp25FXWy7UEQWhCSu1J9ScYEwAp6WT7iPZolVoyyjKwOC1EaCJ87kjJZXIitBHkVuUGvHS8IV4EVwShJVDpIaW/lIyzYLt/v9Z0UpcLU4cFbG8X3g69Su8ToFHKleiV+potBceK0fnnkRKEZk+hBmMtqzX0USBvnukwlXIlEdoIsixZaBQa2ke0x+P1sLNkJy6viyhtFCq5yu+8KG1Uzd/TwtIwa8wcrDxIsb0YuUyOSuF/jiC0NI02qzt37kxRUVFjPVyLlVlirZftQQCRBg255YU127QEQWgaZY4yCqoKWJ69HJlMxtCkocTqYzFrTrDClyFGSohXvMe/L6qNX5Lbsalj2V+xn4npE9lctJkqZxVXd76aAmsBaWGplNuK+GXXd3i9Hs5KPZurO1/Ny6tf9ru0WWNmUvtJLM9aztqCtcTp4xiQMIA4fRx6lf5UfhWCINS36iqozIO9f4G1GNKGQ2Q6GI/aclOZJ/1JGQi6cIjvBqumw+5D1X56XA4aE6z5RMrvlDoMItMpVanJrcplRfYKNApNzWuXUW0kzhBHlDaKYnsxAMOTh3NZh8vYXrKdVqZWWJ1WZm6ZSZWziuHJw3lp2Evc99d9ftsR5TI5Q5OGNs7vShDqk0IFA26BTV8F7h82BbxuyPwP9i0DfTSkj5RWtKhreQ91WKT5mrEY7OXQZhSEtwJjLCW2EnKqcliRswKj0siQpCFE66JPunpPuCac67pex+7S3XSM7MjGwo3IZXJu63Eb/+T8w9i0sQErfLWLaMfgxMFc0fEKMsozKLYVc1H7i5DJZKzOXY1eqWdP2R7+zvobj9fDsKRhxOpjCdeGU2gt5EDFAVbnrSZGH8OA+AHE6GPQHu8mkiA0MzJvA2Ybqqg4UqZvzZo1PP7447zwwgt069YNlco3ghkWFvhOR0ONy2w2U15e3qiPWx8GvLCQQenRXNovpc7X+jejmLcW72bjk2Mw60VEWWh6oTw3T1WJrYT3Nr7HVzt9P4Bd1ekqbu5+MxHaiBO7UMF2mD3hSJJbkO6OTf4FYjv5PmZVAX8cXMwLK1/wyXnQL64fd/W6i2sWXONz/CdjZjBr6yyWZf9d06ZT6Ph03Kc8tOwh9pbvrWlXypW8PvJ1+sf3F0GWFuR0nJstgqMKdv0G39/kW6kkZSBcPBPCEqE8G+ZcCvmbj/TLlVKFk63zQBcJ7c+GH24Gz5F8eUWXf8HU3CX8ceAPn4e8u9fdXNrhUoxqI9uLt3PjHzfSO643o1JG8b///seVna5EKVfyyZZPfM4b3Xo056Sew5SlU2raFDIFrwx/hWHJw8SXrFqI+dmMVeTC2pmw9Jj8Rl0mwVlPwnc3QdaqI+0yOUyaIc05tX8ZZByVsOU7+PleaeveYekjKbzgPZ5a+Tx/H/VeDfBI/0c4t825Jx1kybXk8vra1/ltv+82p2u7XMvVna4OmEvF4XSwpmANdy++m2pPdU1767DWvHvmu/y29zfe3fiuzzmXtL+E67tezz1L7vHZKqiUKXl91OsMTBgo5r8QUho0wCKXy31WRgRaKdEUSW5D9Y3I4XLT8fEF3DQsnVEd657sbVd+JU/N38qCe4fRMT50fg9CyxWqc7Mu/s76m9sX3R6wb/ro6QxKHHTiFyvLgrxNkL8F4rpCfHcI9y+JuLdkJ+f9dFHAS1zf9Xq2Fm1lZd7KmjaVXMUXYz/FI5Pxb86/GNQGhiUN4811b7Jg/wK/a6jlar479ztSD+VxEULf6Tg3W4SiPfBuX98vYocNuQ+G3w+/PwbrZvn3y5Vw0xJQauC9gb4BmrguzB9yI4+tfz3gw84dP5eu0V1xe9zkW/OpqK7gsp8vQ6PQ8PzQ57nvr/sCnvf0oKdJMiaxPGc5KaYUBicOJkYn7mAfj5ifzVjWGtjwBXQ4B7JWg6ta2opXbYXc9fDvu/7nyORw5xppBeqxCnbAe/75iLwp/ZnT73JeDDInvzv3O9pHtD+pof+5/0+fgOfRPj3nU3rF9vJrz7HkcP6P52Nz+ed4PDPlTGINsczdMdenfUL6BDQKDd/t/s7vHKVMyfwL5pNiqvuNZUFoLA26RWjJkuCJFIWTl11qwwvE1LFE82FRBimXS26ZXQRYBKEJWKotzNw6M2j/7K2z6RHT48RXgoQnS386jqv1sF/3/hK078c9P3Jnrzt9AixOj5NX1k3jzSFT6dL9RgD2le9j4YGFAa9R7almS9EWEWARhKa287fAwRWANTOg99WwaW7gfo9LWtUiU/oGV4CS7hcxa9/PQR/2yx1f8vTgp1HKlSQaE/ln1z+4vW6GJQ9jUeaioOd9sf0LHuz3IOvy1yFDRpw+DrWi6SuqCMIpcTth1Yew6WtYNxtiu0iBy5UfwLlvw9rZgc/zemD3HxB1m39fkO1GRT0u4dNdQbYiAfN2z+PB/g+e8NDL7eV8svWToP2fb/uczpGd/bYJ7S7dHTC4ArAkawnTRk7zC7CMTBnJo38/GvAcl9fFuvx1IsAihJQGDbCMGDGi5u+ZmZmkpKQEXMFy8KB/uVDB38FS6QUrLqx+AizhejVyGeSUi0pCgtAUqj3VlNnLgvaXOkqp9lSjp3632uTbgufDKnWUYlD5L0sus5fhdDtqfq52Vwcs3XxYkV3k3BKEJlcZODk1AI4K8DjB5Qh+jKUAAmwrcGnCKHWUBj2tyFaEy+NCeSiBZ6FVKlNrUBnIr8oPel6poxSVQsXmos3olXpcHpcIsAihy10tzSGQttflbTrSp1BDtSX4uRVB5m5FduCH0hhrnZP51nw8Xo9fWeVgnF5nrZ9Piu3FOD1ONGj82oPxeD24Pf47FmTIfLYTHavQFqDMtSA0Y3Wv9XuC0tLSKCz0nyAlJSWkpaU11jBCWmaJFYVcRqShfgIs0rXU5JbZ6+V6giCcHJPKVGvyxmFJwzCqTm7PdEBuN5TnQFkmWEsZlTQs6KG9Y3uzs8S/XOqQuL6YdEeqAxhUBhINiUGv0zOmZ52GLAhCPWh7lnTHvPN5MOljuORTGPWolHslsTcodRDdLvj5rQZDXGe/ZlPORgbF+G8POGxUq1E+23r6J/QHYEfJDnrH9Q56Xp+4Puwr3wdId7WPVwpaEJoVjxsqDr3XWvKlylwdxoNKB72uhotnSXNw8F1QngUJPYNfq+0Zgds7TQzYbMzZRP+4PkEvd2arM084uALS55PBiYOD9o9MHhlwdW3nKP/Xi8Pi9HEByzRLCfaDfxfsG9f3OKMVhOal0QIswSrVWCwWtFqxt/ZEHCyxEmvSoJDXX8WfKIOGnDKxgkUQmoJKoeLiDhcHDKKEqcM4v+35NXeAT1llHix/DT4YDG90g1nn0CWyI61MrfwOVcgUTO4ymXl75vm0G1QGLul4GaqjEu4lm5K5r0/gPAq9Y3sTp6+lNKUgCI0jrjNc+R3oIuCne+Dra2DX73DOyzBhGqz+GIb9X+Bzk/pCZCpEtpFyOh1Ft/lbbkw/H7Xcf3VJtC6aYccEcVubWtM5qjPbirfRLqJdwLLLarmaG7rewFvr3iJKG8UZrc4QFQ6F0GEpkPKpfDBUeq+dOU5KMN3xHLj8S6ma1/c3wTfXQv5WKbhy9vMQ6N94bGeI6Rj4cZJ6Q4R/MMK48Uvu6nkHSpn/Z4ZEQ2Ktgc1ANEoN13S5JmCQM0ITwZjUMQEDNrH6WIYkDgl4zSl9pvDrvl/92n/K+IkH+j0Q8Jzu0d1JNvrnkhOE5qzBAyxTpkxhypQpyGQynnjiiZqfp0yZwj333MOll15Kz549G3oYLcKB4qp6K9F8WKRBTbYIsAhCk0kyJvH5uM8ZkjgE2aH/DU8azmfnfEaSMaluF68qhp/vgyXPg+3Q0uGC7cTl7+CjUW9yXtq4mgBO58jOzBr9EammFLpEdqwZy5CEQXxx9kySjP77n/vF9+P1ka+TGpYKgE6p44qOV/DCsBdIMCbUbeyCINSPP5+AtbOkL3gA2WulQEtVEWz+RioPe8GHENNB6lfpoP8tcOlnYIyTSsZe8TX0vQEOr0qJTKOV0sAX4z6jz6G75gqZgjGtxzB77GwSjb6r26L10bw16i0u63AZb6x5g+eGPMcZKWegkCkAKSg74+wZfLfrO/rE9WH2Of7XEIRmy1YKfzwhzTXroS0yxXtg7uVgr4AfboWt30s5WbxeqbzynIullWTX/nwkgKnUQJ/r4MpvpHkXSFgSXDsfelwhlYEGaTXa5V+TZkrls3Gf0SO6h3Q5mZLxaeP55OxPiDcEuV4tDn8+GRAvJdWVy+SckXIGn53zWdD5GamN5Lkhz3FD1xtqthunmFJ4c9SbDEkawqMDHmVk8sia4MyghEH8b+j/6BHTgw9Hf0i6OR0ArULLFR2vYNrIaUTro0967ILQlBq0ihDAqFGjAFi6dCmDBg1CrT5yt0OtVpOamsr9999Pu3a1LFGtZ6GabX3sG8tIjtBxw9D0ervmFysPsCmrnGUPjqq3awrCqQrVuVkfKh2VVFRXgAzMavNJl1MMKH8rvH/MEl9zMgx/EP58EvtZT1HSegAevBgsRUQseh4iUrGMeZZytxR4DVPqMRlr/2CWXZmNw+1AIVcQq4tFpxLL+lua03luhrS9S+HTcwP3JfeDtmfCXy9CVFvoex2YUyC8lXQH/ZjklbjsUFUobTnUGMAgrUIpd5RTWV2JXCbHrDEHzOF0WLW7mmJ7MW6PG5Vchd1tx+PxoFVqkclkeLye415D8CfmZxMr3AXv9vNvT+wFHSfA4ucCn9frWhj3slR6uboK5AppXqlOYGW/0yrdRPG6QW0Cw5EtvGWOMizVFuQyOeGa8BNPlB9EhaOCSmclAOHqcAyBykcfOzy3syZPi06pI1p3JEhiqbZQXl0OXgjThGFSm2r6im3F2Fw2FHIFUdookYNJCEkNmuQWjlQSuu6663jzzTfFC/8p8nq9ZJZY6dM6ol6vG23UkFtuw+PxIq/HrUeCIJwck8aESWM6/oEnI2e9f1t8N8j8B+xlaH++D797UDlrMZ71NMbwEw/kJpnquNJGEISGsfvP4H1Zq6VcECDdbf/9Menv7cfCJZ/5H6/USgGYY5g1Zswa8wkNR61Qk2AQq9uEFqZwR+D2hJ6wf3nw8zL+BHvZodUq/tvmaqXSQ3jgwEm4JpxwTfjJXa8WYZowwjQn9/1NpVAFXTVjVBuD3kSKOirXmyCEqkbLwTJz5kwRXKmD4qpqrNVu4kz1m68m2qjB6fZSZKmlioAgCKFJF+nfVl0F2vAjP/e8EgbdBaZDoRatOfCecEEQQo+xlqX1amPgCkKGGOlOuiAIJ0YbJMBYbQFdeC3nhUtJqAVBaFEabVZfeOGFAdtlMhlarZa2bdtyxRVX0KFDh8YaUkg5UGwFILaeSjQfFm2Ult5lldmIDRPJhgUhpJVnS3fSCnZAbEcpp4JKB86j8ixl/guD7qQkuS9lyb1ZW7COyuoK+vT6kmi5mqTtC8Dgn6C21F5KgbWANflrMKqM9I7rTbQ2WmwHEoTmrMN4+POpwH3dL4FtP/q3972h1gCLxWmh2FbMmrw1JJuSCVOHsb5gPVqllj5xfYjWRtdsIfB6veRV5bGrdBeZlZl0iOhAqjmVWH1szfXKHeUU2gpZk7cGlVxF3/i+ROmi6qeCmiA0hsh00IRJpc+PtvtPOP892PpD4PMG3w0yOWSvh4P/gT4aUvqBMf7EtgkFcPi9em3+WgwqA71iexGtj0avDL5NqKq6ikJbIRsKN1BsK6ZXbC/iDfHHzYNUaC0kszKTbcXbSDQk0imqE3H6OBQiQCuc5hotwBIWFsa8efMIDw+nT58+eL1e1q9fT1lZGWPGjOGrr77ipZdeYtGiRQwZEjj79OnsQLGUnC6unoMgUYeS5uaU2ejdqn63HwmC0IgKd8GnE6WqQYd1mAAXz4avrpSS6wG4nRQZY1ght/HUT5Nwe901hw9NHMpjAx8jWeH74ajIVsQLK1/gzwNHthvIZXKeGfwMo1uNPqH92IIgNAFTApz3Lsy/U0queVhCD+hyIXx2nu/xw/5PSrwZRIWjgh/2/MBra17j0QGP8u2ub1mwf0FNvwwZD/Z7kPPanodRZWRnyU5u+OMGKb/UIcmmZKaPnk6KKYUSWwlvb3ibb3d963ONKX2mcGG7C096W4IgNAlTAlw+Fz6/0HdVmFov5TMaOgWWT/M9p8N4SB0C30yGfUuPtCtU0vt2mzOkGyQnochaxNRVU/njwB81bXKZnKcHPc2Y1DEBcxtVVVexMm8l9y+9H6fHWdPeI6YHLw1/KWiy/RxLDrcvup2MsoyaNr1Sz/Qx0+ka1VUEWYTTWqMFWOLj47niiit45513kMulnUkej4d77rkHk8nEl19+ya233spDDz3E8uW17Fc8Te0vthKhV6FV1e8LlkGtQKdSkF0qKgkJQsiyFMDXV/kGVwB2/gz6cLjtX6lSSMk+SBtJqc7EE38+iRffHOfLc5bz675fua7LdagOVSfwer0sPLDQJ7gC4PF6eGLFE3SL7kYbdZsGfHKCIJwyjRE6nw8pA2DnAqgqgHZjpO1B2atg0gw4sAKUOunL3p5FUiJbU+Ay6wcrD/LqmldJN6fj8rh8gisAXry8tPol+sT1IVIbye2LbvcJrgBkVWbx5IoneWPUG6wtWOsTXDl8jdfWvkbf+L501fiWhxaEZkmhhOQBcMcq2PsXFO2B1oOkQKY5GYbcDd0uhh0/SytKO06A8BRY9bFvcAWkmyFfXw13rpFWxpyExQcX+wRXQHqvfvKfJ+kW04224W39zimwFfB/S/8Pl8fl076xcCOfbv2Ue3vf67dS1VJt4eXVL/sEVwCsLiu3L7ydbyd+KyoJCqe1RsvBMmPGDO69996a4AqAXC7nrrvuYvr06chkMu688062bNnSWEMKKfuLqup99QpIW7RiTRqy6hJg8bhh1UcwawJ8ej6s+QTcruOeJghCPakqgsKdgfvWfw7uauh3A5z9P2h/Fr/t+80vuHLY3B1zyanKqfm5yFbErK2zgj70jxkBthgIgtB8aIwQ3Q6G3AVjnoPYTjDvVvj1QZh/t7Sl8OBK+OoqWDVdeg/3ePwu4/Q4mbN9DgDj0sYxb8+8oA85d8dcqpzStoNA1uSvochWxIzNM4Je44vtX/jcUReEZk2pgohU6DNZeq/tOF4KrgDoIiCuM4x4EM56CpL7SIGUle8HvpbHXXuC6gCKrEXM3DozaP+83fMCtv+b869fcOWwH/b8QIGtwK+91FHKkoNLAp5TUV3B/or9xx2vILRkjRZgcblc7Njhn2V7x44duN3SEnWtVirTJ/jb10ABFoAoo5rsUuupneyqhjmXwm8Pgtsh7T/9eQrMPEf60icIQsNzHmf+On0DqPnW/KCHlthLODr24vF6KLYVBz0+pzIHrzdwsEYQhGbIXS2tZAHpPXv/31KA5fA2woosCPCFy+l21rx2mNQmiu3BXxfyrfnYXLXfuLG77LVeo8BagNMtAixCC+V1++dsOVp59kldzuV11f5eXZWDx+sfOM2vCv55wOay4fa4/dodbkfAax1W27wWhNNBo20Ruvrqq7nhhht49NFH6devHzKZjFWrVvHCCy9wzTXXALB06VK6dOnSWEMKGV6vl/3FVXRObJi9yNFGDfuKqk7t5D+fkJZDnvkUJPWR2gq2w18vwOyJcN1vtWdQFwThlJTZy7C77chlcqJNCcjlSmh/NtlD78KtNaOwl5O0/G3YtUDaH16ZK92V1oYxMGEg8zPmB7xu9+juqBVq8qqk7UYahYYB8QNYX7iec9ucS/eY7lS7q1l8cDFLDy5lZMpIERgXhObI6wVLvnQ3XKkBw6GKQkodtBosbVcIpN3ZoFT7NeuUOoYlD2Nl3kp2l+6mR0wPFmUuCniJIYlDako3d47qzPltzydSG4lOoSPWICW4NalMTEifwMebPw54jaFJQ9EqRfJ9IYQEm3OBqPQQ1xXyg6zcTx9+Ug9tUBroHdubTYWbOLftufSI6YHT42Rx5mL+OvgXI5NHIpfJKbGVUO2pRiFTEKOPoV98Pz7Z+knAa6aZ09AqtVidViqqK5AhI1wTjlFlJEITgVapZVK7SaSaUylzlPFTxk9sLNxIu/B2eLweimxFeLwetAot4UdXLxSEFq7RAiyvv/46cXFxvPzyy+TnS9HSuLg47rvvPh566CEAxowZw9ixYxtrSCGj1Oqk0u4ioYFWsMSYNPy9uwiv13tyX5QOroaVH0C/m44EV0BafjzmeVjwEHx7PVz5LcgbbbGUILRoVdVV7CjdwatrXmVr0VaiddFc1+U6zrh7DeuLNvPh6hc4UHGAVmGtuKXvzfQ/+3nits+HFW+CJQ8Se9H9klkkGhJ9tgKBlFzyvj738dn2z/h659d4vV7OTjub+/reR6mjlBmbZzB3x1x0Sh3j0sfx3pnvkW4+uT3igiA0AksBbP9JSqxZkQ1x3aTtQRFp0vt2n8lS8PXYlSqGGClHSwAymYyzWp3FR5s/4td9v/LaiNdYmrXUb3tBhCaC9PB09pTt4c2Rb7K/cj+zt84mx5JDu4h2XNv5WnaU7GBbyTbu6X0PWrmWdza+43MNs8bMmNZjkMvEZwchRFgKYcdP8PdrvnMusVfgMs6GaDj7Bfj0XP++qLZSctyTYNKYuL/v/eRb8/li+xd8teMrNEoN49LG8d5Z75EalsrSg0t5Y90bZJRlkGRM4rYet9Errhdtwtv45VMBmNJnCl68PP3P0yzMXIhCpuDcNudyXdfreHXEqxTbi5m1dRbbN2wnVh/LRe0v4sauNxKmDmPO9jnM3DqTQmshXaK7cH/f++kY0VEkxRdOCzJvE6ztrqiQlsSFhTVNdviKigrMZjPl5eVNNoaTsfZAKZPe/4cXL+xG66j6f2Fata+E1xfuYu3jZ9VUFTohM8dBRQ5MeCNwScec9fDnk3DmE1JlAkE4jlCbm01hWdYy7lh0h0/blN5TcHgcvLvhXb/j7+hxO1dZXRj/ePxIY5sz2Xfua7yx9g3+yvoLj9dDujmdh/s9zG/7f+OHPb4lJSM0EUwdNpXbFt7mk7uljbkN0894m9iwlPp9kkKzI+ZmCLGVSe+962b79014AzZ8Adow6D0Zlr0MeZtBJoO2Z8HYlyAqeNJqr9fL/or9vLjqRTxeD5d1vIwPN37I9pLtyJAxMGEg13S5hpdWvcSgxEHIkDFnxxy/6zzQ9wGWZi1lTf4aPhr9ET/t/akmp8ughEE8POBh0sLSxOq4EyTmZxOzlcHCp2FtgBwoF82CzucFvtFYsF36rPz3q1CcAXKllLul/y1S3iRjrP85tcgoy+Cyny/D7rb7tKeZ03hx2Itc+vOlfufc0eMOxqeP5+0Nb/PngT9xeVwkm5KZ0mcKHSM6ctkvl/klqh6aOJQL21/IlL+m+F1vYvpEBiYM5LEVj/n1vXvmuwxPPrmVOYIQihptBcvRxIv/yTm8faehcrDEmKSgysFS24kHWA6ulioPjHoscHAFpKh910mwZKp0Ryy+Wz2NWBBOT4XWQl5Y+YJf++CkwVz565UBz/l4ywzGnvO5b4AlYxFp39/JExfP4J7e9+D2uNGr9PyT849fcAWkhHYrclYwOHEwK3JWHLlMeQZbi7eKAIsgNCdVhYGDKwB/TYWznoZ5t0HRbuh7Awx/AAyxENMR9BG1Xlomk5FmTuOVEa9Q7ihHjpxpI6exr3wfDreDDYUbeGjZQ1RUV/Bgvwe5c/GdAa8zffN0Hh3wKKvyVvHamteYNmoaN3W7CZlM2oJgUpvq+EsQhEZUVRg4uALSau6UAWA+pvy5tQR+uhfsZTDgVjAeqty1ZxF8cRFc9d1JBVisTivvb3jfL7gCsK98H1uKtpBsSiarMsun74NNHzChzQQeH/A4t/e4nWpPNQalgVh9LG+se8MvuAIwOnU0L616KeA4ftr7E+eknYNCpsDt9c3f8sLKF+gU2YkYfcwJPy9BCEWNFmDJz8/n/vvvZ9GiRRQUFPglRTyc6Fbwt6/IQrRRXe8lmg+LPRxgKbHSMyX8xE5a9SGEJUlvGrXpeSVkrYYf74SbFgcPxgiCcFyV1ZVkW/wT35U7ynG4HQHPcbgdFFdXkHpsx4HlRNvKiY7pUHON7/d8H/SxV+au5IxWZ/gEWAB+y1zIyNZjkIltgILQPBRsC95nyZdyPwCUZcLCp6S/R6bDdQuCn3eMMHUYYWrpZtnesr3cvuh2n36jykihrTBoIsxyRzlKmfQRdFvJNhwuB+nhYruhEKIKtgfvs+SDvdQ/wFJtgYP/SX//9QH/83b9Dq0Hn/AQKqsrWZ6zPGj/ytyVdInq4hdgcXvd5FhySE5IJkxz5AZ4ka0oaKUgo8pYa7L8veV7idXHkluV69OebcmmsrpSBFiEFq/RAiyTJ08mMzOTJ554goSEBLHs8yTsLawivoFWrwAYNEqMGiWZJSdYSchWCtt+hJ5XwPH2RytUMOhO+O0BqfRj/5vqPmBBOE2p5CpkyPDiRavQEmeIo8JRgVpxJCGlUWUkShdFia2ESmclAGq5CvRRUsLpihypqpBMJs3PQ5QyJUaVMehjG1QG7C7/O2Ph6jARXBGE5kQTZJWwKV4KrgRIYIvGJG1POAUKuQKVXOVTUtnpcaJT6mo9T3no8VRyFQpx80UIZUfPOV2E9MeSD9WHCkgoAsw5mRxUOun9WG2EpL5gLTqS9PY4q8mOJZfJMaqMVDkDF60wqAyUOkoxqAxE66IptZfWrE4JNFcVMkXQzwTK47xWGFSGgDd9ZMiOe64gtASN9q98+fLl/P333/Ts2bOxHrLF2FNgaZDcK0eLC9OQdaKlmrf/JCXGSz/jxI6P7SRtEVr8HHS5EAxRpz5QQQgFHrcUyCjcAZV50va4sMSgy30t1mKKHaVsKdiITAZdY3oSqQnHqPedK+GacEaljKJ/Qn9i9bEcqDhAlDYKk9pE9+juXNLhElRyFdmWbBKNibg8Lr7e+TVh6jBWnPsSBbYS2oW1IqEki6i9S6WgyyEGtYGrO1/Nf7n/BRzjuLRxzN7mv+3gvLYXsD1/IzuKtxKtj6VNRFviDEkUV5eSVZnF/or9pJhSaGVqRZwhrg6/VEEQTkhUG1Abjny5Sx0GA2878oVPa5a29y57WSrNrNTCuEOJOXf+Kr1OxXbCa4gn35rL/or9WJ02WkW0IbMik/LqCtpHtMftdZNZkUmnqE48PuBxnvr3qZohONwOZMgIU4cF3GLQMbIjcfo47u19L/vL9xOpjfQ7pshWRLYlm4yyDBINibQ2tyZeHy9u0AnNT1Q6JPSCIXeByy6970e2AWsx7PjF5722hiEael9PacfRFBoi2Fa0DbPGTHtzOrFrZqHqdK70OaJkr/Qnqh1EpEJYQsAhRGojuazjZby57s2A/WNTx1JgLWBc2jiyKrOIN8Qjl8n5bNtnAVeURGgjuKbzNTyy/BG/vs1Fm+kX14/V+av9+rQKLVHaKErsJX59gxMHY1QZyazIZEvRFjxeD12juxKti8aoNlJiL6GgqoDtJduJ1EbSLqIdsfpYEZQRQk6j/YtNSUnx2xYkHJ/b4+VAsZXBbRo2KBFt1LC/6AQDLFu+k74w6v0/EAXV+1o48A8sfRHGvXJqgxSEUOB2SUnrPr8QHEd9sUgZBBd/IgVajlJuyWPuzq94b8uMmgSyMmTc0/1WLmo3CbPxSFDCpDHxf33/j4f+fogtRUdKO05qO4mnBj/F3Yvv9tlClGhI5O0z32bmts/4bs93Ne3dIrsw7ZyXiT+mskGXqC5MSJvAz/t8y7eOaT2aCE2439Li27rfyoaCDby45uWatmRjMm+f8RZ3L7mHg5UHa9rj9HF8NOYj0sxpx/0VCoJQB8YEuOQzmHsppA2HbhdLFf2OXoHWbjSc/wH8cAtc+Q0seR72HrUdoMN4dp/1KDctvoN24e24oN0FXP7LFT75HQYlDuLCthdywY8XcGWnK3ly4JM8+9+zNf2zt83mxWEvcu+Se6n2VNe0h2vCuafXPdyz5B5Sw1J5evDTfjlXciw53LX4LnaV7qppi9RGMn30dNpHtBdBFqF5McTD+FdhziVSUOWwuK5wyaeBPy8rtRQOuY3nVk1lSfbfNc1ahZY3hr9MP7kC9cdnSYHPwyLT4arvIdL/fVQhVzA2dSxLMpewqWiTT9/tPW8n0ZjI1FVT2V+xv6Y9RhfDu2e+S4wu8JadAQkDGJ40nGXZy3zaHW4Hjw96nBt/v5FCW+GRpyRT8tqI19ApdX45WOL0cTw24DF+3vszr619rWb7oAwZN3e/mQvbXchT/zzlc5NHp9Tx3pnv0TOmJ0qFCLIIoaPRqgj98ccfvPbaa3z44YekpqY2xkMGFUrZ1g+WWBn28hIeHtuRHieaH+UUzF2VyZoDJfzz8Jm1H2grhZfbSBnOO447uQfZ8r2UeO+OlVJ2dEE4RijNzaDKDsL7g8BR6d/XezKc86K0LPiQ1VkruH7RrQEv9enoj+mVeCTPkc1l43///Y/5GfN9jnug7wP8mPGjz5eRw9pHtOe8NufxyhrfwObE9Ik8PvBx9IfzMRxSaislqyqLXzJ+wYuXcWnjSDGl4HZZ2Vu2l98zF2JSGRiXPpHdZbt5ZMXjPuff0/seFh5YyNbirX5jSQtL45OxnxCtiw74fIXmq0XMzdOJyyF9MbOVwYzR/uWYAYbdL231XT0D/vOtQJZ/23IuX3oPhbZC3j3zXe5dcq/PFqDDru58NfvL9/N39t+8PvJ11Ao1f+7/kyhdFOPSxhGti6bKVcXizMXsLNlJu4h2pJpTeX3t6+wr3wfANZ2v4a6ed6FVSVuhKx2VPPL3IyzNXur3eDG6GOaOnytWwx1DzM8mVp4NH42UyqMfq8N4uOBD0PoGEd2uaj7e9AHvbP7I7xSlXMn8cV+S8nZ//+sl9YYrvpFWwBzju53f4ZV50Sg0rMpbhU6pY1DiILxeL59u/ZS1BWv9zkk2JTN77Gxi9YFX2BbbismszOSXvb+gkquYkD6BRGMiEdoIci25bCjcwH+5/9Ha1JozW59JnF6am/nWfBYeWEhmRSaDEwfTM7Yn+db8oAn5Xx/5OlNXTaXA6vs71Cq0zDt/HknGpIDnCUJz1GjhwEsvvRSr1UqbNm3Q6/WoVCqf/pIS/6VkAuwptACQFFH7Xua6igvTkltmx+Fyo1HWshd6zyLwuiElwIv+8XSaADt/kUrZXfbFKY9VEJq1/C2BgysAm+bCsCkQ0RqAKlspM7YHqfYBfLL9U16O7Iju0EqTYlsxv+791e+4lLCUgMEVgF2lu2gV1sqv/bd9v3F7z9v9AiwRuggidBF0iz626lckMaZkBqRIJRazy/bz1L/Pcqw24W2CLlHeV7GPEluJCLAIQkNTaqS73aumBw6uAKyZAb2u8q9+og0n12Wh0FZIu/B27CzZGTC4AjBv9zweGfAIf2f/zSdbPuG9M9/zK8MaSSRJxiRW563mx4wfySjL8On/bvd3XNrhUlqppNepEkeJ3x3zwwptheRW5YoAi9C8lB0IHFwB2PWbVGXomABLUVUen+78KuApLo+Lf3L/5dIuF8DWYyr7Za+TVskcE2DJrsxm5raZNVuHO0d1xulx8t2u73h15KsBgysAWZVZFNuKgwZYonRRROmi6BXby68vwZhAgjGBc9LO8etrHdaaG7rdUPOzw+Xg5dUv+x132JwdcxibOpZPt33q025329lYsFEEWISQ0mgBljfeeKOxHqpFySiwoFHKiTQESJBVj+LCNHiBgyU22sYGT3TJrgUQ1TZg5Py4FGqpqtDyaZC1BpL7nvJ4BaHZKs8K3udywFGJ36pddgqsRUEPL7AW4XDZ0CEFWKrd1bi8/l+WnO7AX35qHsdd7dfm8rqCVh46EU6Pw2fZ/4mOJVgCPkEQGkDJ/uB9tlIpX5TzmO3BpjhKbNI2B7PGTJEt+GtUpbMSjUKqRFhgLQj4mgCwtXgrS7P8V6SA9JrgOioIZHfZa7ZLBlJsKw7aJwhNwlIYvM/rAZfNr9nldQfMT3RYliVHqtYZSLX/+6jH66lZ/VFsL+bvo7YdHe99uby6vNb++uBwO8irygvaX2gtZGDCwIB9gaonCkJz1mgBlmuvvbaxHqpF2VNgITFch7yB9xsfrlJ0oLgqeIDF44GMxdDmBJPbBpI2ArZ+D4uehWvnH/94QQgFVUVS8ESpg4SewY8zxknVAg4xaMz0ie7G7rLdAQ/vG90dgya85me9Sk+EJoJSR6nPcRqFBrlMHrAkqlwmr/kCdLQITQQG1aknz9YpdMToYnz2XwOoFCqUMiVxhjjOb3s+CYYECqwFzNszj4OVB4nUnUTuJkEQ6qb7JRDfBYr3wvrPpES3h8V2lla6RLWF4j1H2l3VpEd15H9D/ofVafVb5Xa0tLC0mnKtvWJ7+VQdKbOX4XA7UMlVDEkYwsebPw54jRRTChrlkdcok9qEXqnH6gqcF651WOsTeeaC0Hii20r/H9sZelwuFXMo3gsbPodqa8DKXlqFmjbhbfxWdB3WL7Y3bHrRv0OhggDvozqljq7RXdlStIVxaePoEdMDp8fJ4szFKOVK1HJ10ABovD7+xJ/rSSiyFeH2uNEpdehVevon9PfLD3NY1+iu7C3bG7CvR2yPBhmfIDSURq2tmZGRweOPP87ll19OQYEUZV2wYAFbt/rv1RckuwssJJobrkTzYREGNWqFnP3FtSS6zd8sLUtM9F8meMLkCuhxBexbCvv+Pv7xR3F73Py27zf+76//45Y/b+Gd9e9QaK3lroEgNDRrCez8DT47H97tB19cKOVXSQjyYeCsp8F0pAKAWq3nys5XBQyA6JQ6Lu14GSrVkfkfo4vhrl53+R37d/bfnN/m/IAPeV6b83zuZB12Z887gia2OxGxpmTu6X6bX/uSzCU8N+Q5butxG0sOLuH5lc+zYP8Crut6HS8NfylgtRBBEOpZVSFs/Aq+vwl+fQAOLJcSzPe4/MgxQ++DtbPh4tlS5SGgcsDNrBr3LI/+8yTPr3yer3d9Tbo5nWRTcsCHub7b9Xyz6xuUMiU3d78ZvUqPpdrC6rzV3Ln4TibOm8j1f1xPga2AJwc+GfAad/e622f5f4wuhpu63RTw2CGJQ4jSiUqEQjNjjIOLZkLvq6VA5uE5N/YlOP89qUT6MaJMSTzQ656Al0s2JtPBnC4lzD9W3xsDViSM1kfzQJ8HeGPUG1RWV/Ly6pd5f+P7tAlvQ4wuhqs6XRXwsc5ufXa9vy8X24r5YfcPXPvbtUycN5H7/rqP7SXbmdR2UsCS0Cq5iqs7X82fB/7060szp5Eallqv4xOEhtZoAZalS5fSrVs3Vq5cyffff4/FIuUW2bRpE0899dRxzj49eb1edudXkhQR/O5RfZHLZMSbtewvqmX5/t6l0t2umE51e7BWg6Q7ZkteOOFTyuxl3PTHTTy47EH2lu/F6rTy6bZPOXfeuSzJXHL8CwhCfXPaYP3nMPcyyNssLdnNWQ+zxsF570LXi6SAIoAhBs59G9qPhWNWoyUbUpg1+iM6RHSoaesc2ZlZoz8i8ZgvNQq5gtGtR/PkwCeJ0EQAUtb+FGMKk9pP4oqOV9R8eNEpdVzR8Qouan8RrfSJKGXSgsUITQRP9LiLMZFdUchrybd0HDK5nBHJw3l2wGNEaaUvPAqZglbGZKpcVTy+4nG2FW/D5rKxq3QXz/z7DDmWHFRy1XGuLAhCndjLYdkr8MPNULRLem3K/A++vgZaD4Z2Y2Dim3BgBfz9Cnx6Llz8Ke7O57E0pRs3/PMYm4s2Y3PZ2FO2h7sW38XLw15mRNII5DLpY2OcPo7HBz7OlqItyJAx4+wZtAprhdvjZnn2cq7//Xo2Fm7E5rKRUZbBQ38/RLYlmwf7PlhzjVh9LP8b8j/6xPXxGb5KoeLC9hdyf9/7CVNLd/5VchUXtbuIZ4c8S4Q2onF/n4JwPAq1NMcWPOI75765FpBBkDLDPUyteX3o1JrEsDJkjEgaykdnvE2cygiD7jqSFF9thBEPSXnc1IG/F2iUGu5bch9/HPgDi9NCka2IT7d9yjP/PsOlHS/lzp531qwy0yg0XNXxKh7q/xBhAVbYnKpyRzlvrHuDJ/95kszKTGwuG6vyVnHlL1dy0HKQLyd8SZeoLjXHt49oz+yxs0kyJPHskGdrbvzIZXJGtxrNB2d9EDQ/jCA0V41WRWjQoEFcfPHFTJkyBZPJxMaNG0lPT2f16tWcf/75ZGc33v66UMm2XljpoN/zC7nvrPb0T2v4u77T/tyJWinnixsD74Hki4ulJF5j/lf3Bzu4EhY/B9f+DGnDaj20ylnF5AWTybZkc2v3W+kU1ammfeaWmWwo3MCrI15ldOvRdR+X0KRCZW4CUHpAWrXiCpDHRB8NtywDj1PqVxullSvy4DHtkspcKpwVgAyz2kSEMSHosW6Pm0JbIVanFbVCjRcvk36cxJCkIZydenbNdqE/DvzB8qzlfD/qHagqpFoGeoeVmDWzUVRkw3ULwFS3ZJEet4sCSzZWlw21Qg1yJZN+ujjg8n61XM2P5/8Y9G640HyF1Nw83RXtgXf7QqCPd2GJUgnnX/4PcjccaR9yL7kDbuDiX6+g3OGfj8GsNjN3/FzAi9PjQqPQIJPJcLgdhKnDalaV5FXlcenPl1Ji9y9cIJfJ+fG8H/F4PVS7qzGoDCQZk5AHeV10e9wU2AqwOW1oFBqiddE+W4mEI8T8bGLHm3M3LpL+/2i2UvjqKghLpmDQLVjkClRyJREFuzD+/pi0Iiaxp7Stz2kDlV5aCaMIfJPC6rTy7L/P8su+XwL2v3PGOwxJHEKhrRCby4ZGqSFaW/9zKqMsg/N/PD9gXytTK2aNnYVSrqTCUYEHD2a1uWbrsNfrpcBaQJWzCrVCTYS2bluZBaGpNFoOls2bNzNnzhy/9piYGIqLRcKyQHbnS5VIkhu4gtBhCWYdaw4EqebkcUPmv9D5/Pp5sOT+ENlGustWS4DF6/Xy9D9Pc6DiAA/1e8inGopBZeD2nrczfdN0Hvn7EVqZWtEhskPQawlCvbLkBw6uAFiLoKrgpLbTRZoSiCR4UOVoCrmCeMORJcebizZjc9tYmLmQhZkL/Y4vtRXTbc4V/heyl9c5wCJXKIk3H8mJsLV4a9DcCdWeaopsRSLAIggNqWBb4C96ABU5Uvnmo4MrANvnU97r4oDBFZCSYOZU5TAgYUDA/prjHOUBgysgJeHMsmQxNGno8Z4BIL3OJRhO7DVREJpU4Y7a55ytzD/A4qiE/csBiN30JX5rNHb+Bq0GQLh/FcBAKqsrgyaSBvgp4yeGJQ8joZabN/VhS9GWoH2ZlZlUVleSHp4ecCWaTCYTFcKEFqHRtgiFh4eTm5vr175+/XqSkkTprUB25VeiVMiIC2v4HCwA8WapVLPd6fbvPFx6NraLf9+pkMmk5Hv7lsLB1UEP+33/7yzYv4BrO18bsNSsXCbn+q7XE6eP44FlD9SpKoognBTFcSp7NeJWmMPbf4JRBdsKFGTZcsOORWwREoQGpT7OHd+jXw9kMil/RFgiyiCvBzqljjh9HFrF8T+LBLvGYSdyDUEIObUkggYCrzqRyaVt98FoT24lkkwmQ6uU5pcMGdG6aMwac01/mDqsZnteQ9Ira/9dHO81QhBagkb7V37FFVfw0EMP8c033yCTyfB4PKxYsYL777+fa665prGGEVJ2FVhICtehkDdsBaHDEsxavMD+4io6xh/zwp65UvrCGNO+/h6w1SAwp8Dfr8EVX/p1W6otTF01lT6xfeif0D/oZdQKNTd2u5Fn/32WDzd+yN29766/MQpCMIYY6U9VgETL4a2kKgJ1VOGooMRewu7S3RhUBlLNqcToYlAd82EtShtFnD6upprH0eL0cURW+a8SdA64hUKlnP2ZS6iqttAusgORmnDCDHXb6xyhjSDRkEhOVY5fX5Q2SiSoFIT6YK+QtuwWbJO+3EW3k7YPKDXS31U6aVvBsZJ6Q8F26e99b4AOY6F0P5iSCJdrSAtLY1/FPkBKtHlrj1vRKDSU2EtQyBUU24prncPhmnDahbcLWBnNqDISo49hVe4qSh2ltA1vS5Q2inBteD38QgShkVQVgyVPyrViiIWI1lJewWBzLrE3dq2J4rJ9ZJTtxumupl1kR6JUJgzdL4d1swI/TsfxJzWsKG0Ul7a/lFJHKUOThpJlyUKr0GLWmJm7Yy4Xtr/w5J/rKegU1QmlXOlTev2wAfEDCD+qMqIgtFSNFmB5/vnnmTx5MklJSXi9Xjp37ozb7eaKK67g8ccfb6xhhJSdeZUkhzfO9iCARLP0WPsKAwVY/pXeQI531/5kyOTQdRKseEP6wBfrmzx31tZZWKotXN7x8sDnHyXZlMw5aecwe+tsLmh3ASmmlPobpyAEYkqASz6VKggdvVVIpZf2Tpvqtgy32FbMO+vf4dvd39a06ZQ6po2YRr+Efj6Vh2L0Mbw67EVuXHirzyoujULDq4OfI+bHKT7XdnSdxJqu47nv50uwuY58IJyUPpG7et5FVB3GHquP5dURr3LDHzf4XFstV/PqiFdFsjpBqKuqIunGxMr3j2xLUGph0sfQ5kwwxsOkGVJ+h6NLt+siYPRz8N0NMPpZKY/UnEtqrhEd3Z6XLnqf6xbfSYQmgscGPMbT/z7tE7jtFt2NaSOn+WxRPFqULooXh73ItQuuxeK01LQrZUpeHPYiL/z3Av/k/lPTPrrVaB4Z8Agx+lOvaCYIjaYiF368AzIWHWnTR8K1v8CFH0lJbT1HrQLXRVA1aTpLcv7hyZX/w+lxAtLq65s6Xc1VI+4nfN9SKN3n+zijnzvpzxAKuYJz25zL9M3TuX3R7TXtWoWWpwc/TaIhsZaz60+0LpoXhr7AQ8sewsuRbVNR2igeH/h4vSbUFYTmqtGS3B6WkZHB+vXr8Xg89OrVi3bt2jXmwwOhkQzM6/XS/ek/GNc9gfN7Ns4WKq/Xyy2fr+WW4encecYx/12mdZbypvS7oX4f1O2UKh20PQsu+KCmudReytnfnc2I5BFc0uGSE7qUw+XgsRWP0T++P6+MeKV+xyk0ilCYmz7cTig/CFvnSTkNkvtBxwnSyizFqcevvV4v3+76lmf/e9avTylTMu/8ebQOO5L3hPIsXH9NJbf7RSws2sDmqoN0NaYwOqonCQV7UKb0g41zoDIPEnuT2WU85/10CS6v/x2mJ/o+yMWdrkRWS0Le43F5XORV5bE4czEbCjfQObIzY1LHkGBI8Ft9I4SGkJubLdnmb6UgybFkcrh9pbTS1GmD8izY9DUU7YT0kdL7rMoovWblb5a+KB7Dk9CTnIumU+ys5P7lj5BXled3zBmtzuD5Ic9jVBsDDs/j9ZBblcuyrGWszltNu4h2jG41mrfXv83ig4v9jr+l+y3c2uNWsXWgDsT8bAQuO/zxJKz60L9PGw6XfQnOSshYIuU5iu8GCT3YFZ7IpF8D3yh8d8Q0hkf1hMwVsPUHabte76vB3Ap05oDn1ObnjJ95ZPkjfu1ymZx5580jzZx20tc8FVaXlTxLHvMz5pNZmcnQpKEMTBhIorFxgjyC0NQa/d2sTZs2tGnTprEfNuTkltupdLhIaYQSzYfJZDISzFoyCo8p1VyRK71ZxHas/wdVqKDTRFj3GZz5FIRJEfsvtn+Bx+vhnLRzTvhSGqWGc9ucy6yts7ix240i4a3Q8BQqiEyXyiZ6PLVWCToZRbYiPt78ccA+l9fFogOLuL7b9UcarSUo139OyvrPuS5lAB5zMvKMLXDwaan/psVQuEu60+Z2sHD/nwGDKwAfb/+MUSkjiQk79VVgSrmSZFMy13S5hqu8VzXKvm9BOC1YCqXk8IF4PbBhDox+WtquEN0OzngswGuTB+b7B1cA5LkbSF75MSVdJwYMrgD8dfAvSuwlQQMscpmcJGMSl3e8nEs7XIpcJufnvT8HDK4AzNk+h4vaXxR0VYwgNAuWAlg3O3CfvQyKd8JfL0J0ezBEw/afcMnVzM3/O+glP9w6i+7DXyG8y/nQ6dw6fYYothUzfdP0gH0er4ef9/7MXb3uOuXrnwy9Uk96eDr39rkXj9cjPgMIp50GDbBMmTLl+AcdMm3atAYcSejZmSdVEGoV2XgBFpAqCe0usPg2Zh1KQhvdQAGLdmNh45ewajqc9RRWp5U52+cwPHk4JrXppC41OHEwv+77lQ82fsDro15vmPEKQiD1FFwBcHvd5FkDf7kB2Fu+17eh+qg5e3Al8oMrj+mvgr1LpL+f8Tj7LFlBr51vzcd99LaCOhIfrAShHnmqpaokwRTvBo/LN4H1sa9N7mrppkkwthKKbMGrO3q8Hp/tf7U5PP8zKzKDHlPprKzZOiEIzZbLIa1iCaYiB3ThUvGGQ5wDbiOrIHhVnTxrHs7D23rr+BnC6XHW/rmhbG+TBDvEZwDhdNSgAZb169ef0HEy2cklcc3Ozuahhx7it99+w2az0b59e2bMmEGfPn1OZZjN0va8CvRqBdHGesx5cgKSwnWs3l+C1+s98t8le40UjTdEN8yDqvXQbgysmQHD7+fnfb9Q5axidOvRJ30ppVzJuLRxzN46m4yyDNqEi9VSQsMrr8rH4bKjVeoJM9Q9l4BGoaFjZEe2FW8L2D8gYYAUNLFXSKtojPFSNZBAOz5lMql/1GPSChZk9De1Zt7en+gR04MzW52JVqllc+Fmft//O23D26KR19Prjq1M2qqg0kr5HwRBqBuVARJ6wP4gd8XTRhy/OphSBwm9fPNIHC2uK20i2/PYgMcoshXxU8ZPPkmrtQqtVCmkMl9aNaOPAmXtrxk9YnoE7UsyJonqQkLTqSqSgo6aMNAEXpUFSPnVgiW2B2nlSrlv4FKTv5m+0V35L/e/gKd0jeyEXm3EZi+n0lGOQq4gynRMWoDKvEPvo3owBS9hrFPq6BzZmU1FmxjdejQ9Ynrg9DhZnLmYdQXrGJg4UAQ7BKGRNGiAZcmSJSd9TlZWFomJiciDRHJLS0sZMmQIo0aN4rfffiM2NpaMjAzCw8PrONrmZUduJSkR+pMOPtVVYrgOa7WbvAo7CYeS3pK9TnrjaEidJsL2+Xg3fsmc7J/oGduTaN2pBXQGJw5mfsZ8Zm+dzbND/HNYCEJ9qagqYFvJDt7ZPJ2DlQdJD0vjzu630D68LaY6BFoitBFM6TOFG/+40a8vUhtJn6gu8N2NkLVKCp4MnQKXfgFfXekbZJHJ4JLPIWcdbJ8PlbmQ2Ju+41/m9ZGvs7t0N9/u+pYqZxUDEwby9plvY5RriKhjgl7sFZC/FRY/J+V/iEyHkY9CYk8RaBGEutCFw5lPwowANyC04dD+7NrPL9kPW76F/jfB3sV+QVlL/5vIaDOYt9dNY3fZHpKMSdzW8zayKrP4cJOUe+LiDhfzV+ZihprbkbL8bZQRqTDgFohIDfqwbcPbkmRMItviv3Lm3t73iiS3QuOzFMDev2D561BVAK2GwMiHILKNdFPgWKYEGPUo/Hyff19MR6kIhKPCp1n+3/uMu3s1n+yYg9Vl9e2Tybm1+y0UVVfw4YYP+Cd/NWHqMK7pcCkjU0YS7ZVD3ib4+1Uo2St9Dh/xsFQQwuifLN6sMfNAvweoqK7g570/89Hmj9AqtYxPG8/kLpPFtnlBaESNnuT2eMLCwtiwYQPp6ekB+x9++GFWrFjB338H39N4PKGQDGz0tKW0jjJww9DGSUh1WH6FnXu/2sBnN/RnWLsYKRv6i62g60XQ7aKGffC/pmIvz6R/OEzpdz9dorqc8qV+3fsr8zPm8/tFv59yoEZofKEwNw9zOCx8v/tbXlj7ml/f8wOfZFz6RJSBPqSdoMrqSv7L+Y8XVr1Aka0IgJ4xPXl2wKOkzb0aio4pg9r3Bmg1EObfKS1lVmrg3Lfh4CpY7ZvPpejyL3hw3/eszl/t065X6pkz7gvaRLQ95XHjdsKW7+CHW/z7znkFel8T+MOr0KyF0txs8Ur3w/4VsOT5I1t9EnvBmU9DXOeAX74AKNkHcy6WXju6XAjtzoIlL0jJcAF3zytZ3G08U5Y/7Hfqjd1upMBaQLgmnNZhrXnuv+fQKDR8MfQlOnxzMyCDGxdJJWuDyKrM4tl/n+Xf3H8BqaTzvb3v5azWZ2HWnHxCT+EIMT9PkrUYfn9cSv5+NLkSrlsAKf0Cn1dVDJu/gb+mSnlXZDJpm/u4V6TE9gseg+3zpM/OaiMMuRt33xvZbc3msX+fYVfpLkBatfVU/0eINyRxya+XY3f7bj0anjiU5zpcTeQnAfIQnvs2dLsUVBq/rv3l+7ny1yupqPYN9HSP7s7ro14XVfwEoZE0u5Ttx4v3zJ8/n7PPPpuLL76YpUuXkpSUxO23385NN93USCNseA6Xm72FVVKAo5HFGDWoFDJ251ukxy/eI+V3iG6Eak+dJqJd8DDnmNvRKbLT8Y+vxYiUEfy09ye+2fkNt/W8rZ4GKAhHFNmKeG3DOwH7pq6dRr/4fiSYU0/5+ia1ibNan0X3mO5UVleilCuJUGgwf3Wtf3AFpC12/W+GW1eAo1L6cOf1wPc3+x5niGafzOUXXAEp8/97G9/nuSHPoVedYv6nyjz49YHAfX8+Ae3HQkSrU7u2IJzunDZY9hrkbYSRD4PWDHIFFGyHebfAxLeCr2LZu+TIa8fW76V8LcMflFbFGKIpDE/mud+uDnjqrK2zmDt+Lh9u/JBPt30KgMPt4JUdnzOtz7WELXsN1nwCZzwubVsMINmUzGsjX6PEXkK1uxqj2kisLhaFXFHX34ognJzKfP/gCkj5i36ZAlf/EHhbvCEK+t0IncaDvVIqj26IBu2hoNa5b8GZT4DTChoTGONRKNV0NETx0cg3KHNa8Hg8mNVG9Oow7lv2gF9wBWBZznKy0s4lUhPmtyqGPx6H1kMhyvdGtN1l5+PNH/sFVwA2FW1iV+kuEWARhEbS7AIsx7N3717ef/99pkyZwqOPPsqqVau4++670Wg0XHPNNQHPcTgcOByOmp8rKvxffJqT3fkW3F4vqVGNm+AWQC6XkRSuY3eBlGSXnEN5dKLqcEf7BNki0ylUqbi+ykVFHfeJGlQGBiUM4utdX3Nj9xtRyUVp2OYo1Obm0YpshTjcjoB9FqeFEntpnQIsIOWnijPEEWc4tO+6aBccm8D2aDnroOcVR37eONf/mKQ+/BYguHLY4oOLeaD6gVMPsFiL/D8QHuaygyVPBFhCQCjPzRbNVgo7fpL+f36AiiAbvoC2o/0TZlpLpDKwR8vbDD/dLf09qg1ll31KqaM04MO6PC52l+5mefZyn/aV+WuwDJpEGEjXH3h7rXkiTGrTSSevF/yJ+VlHB1YE78vbBPby4HkHFUowp0CgRVcaY9A8LpFhKUQe9XNO+X7+zQv+fr6kcB3dE7rDft85h70crIV+AZZyRzmLMwNX6gKYnzGfwYmDRR4WQWgEITfLPB4PvXv35oUXXqBXr17ccsst3HTTTbz//vtBz5k6dSpms7nmT0rKqZcfbQzbciqQASmNXEHosMRwHbvyD1UlyVkPYUmgNjT4464pWMsinY72RfvR1FYl4QSd0eoMimxFLMoMkshPaHKhNjePpjxOIsnj9Z8S2XHu9Cq1tf8M4HahPSqJrUahwagy+vwsow65n473vBvi9yLUu1Cemy2bTNr+F4zKIG1b8DtNIeWICEapPe5KEpVchdvrrvlZp9QRpg5DdnjlsVIT+LGFeifmZx0pdcH7ZDJohCCEDFmtnxN0CrW05TaQAOfJZDLUR81xg8rgkzxap9CJ4IogNJKQ+6SbkJBA586dfdo6derEd999F/ScRx55xKdkdEVFRbN+M9qWW0G8WYtW1TTLZpMj9CzYkitVEspeJyX8agQrslfgjm2L27aDmK0/kTUoQA6Hk5BsSqZ9RHu+2fkNY1PH1tMohfoUanPzaFHaSMI14ZQ5yvz64vRxRDRETgFdJLQaDJn/+PfJlVIehqMl9JTaPa4jbZn/MnHIrawv28G1na/Fixeby0aMLoa/sv5Co9AQoQ2QiNZRKVVPKNkHKp10B8+UIN3NO5o+WgrKBioDq48Mnh9CaFZCeW62aIZY6H0tLH0pcH/va6TtQhVZYIyTkmCb4kBnhj6TYc/CwOf1uooIXQytTK3IrPQvqWxUGZHL5Dg9TgYmDOTSDpficDtQyBQ4NVFYu12EPrmfVGVFaHBiftZR60HBK++1OVOqjNXAwrURjG89hh/3/Rqw/8y4fvB7gHluTgad//gitZFMajeJQlsho1uPpshWhEapQSlT8tm2z5jUflJ9PwVBEIJodgGW41XNGTJkCDt37vRp27VrF61bB0+sptFo0GhquePTzGzNKad1E2wPOiw5QkeF3UVBuZW4/M3Q/bIGf8wSewm7SndzTtpYyj0mYrb/Rna/yXhru1N3AkYkj+CjzR+xv3w/qXXcriHUv1Cbm0eLMSTyypDnue2ve3AdFcBQy9W8POR5YozJ9f+g+giY8DrMHCttETjaxDelL1RHM8ZJORl+vP1Im9NKXGUxt3S7mcdWPF6zX1sukzOp3SSu7HiFz10wQCpj+e+7sOINKa8LSCUtL5ktBXyOTloblgAXfQKfnisl2z1MroRJM6WgjNDshfLcbNEUCinAsm0+FG737et5tbSN8PC2H5Cqm1z+FUSmSuWd250Nu3/3PS+pN3QYR7Q+mheHPs8Nf96MzWU78pAyBU8Peoovtn/B2NSx9Ivvx6PLH605RilTcnfX67mw7UTMYgVLoxDzs46McVLS9V/v9203RMPYF4/kVGlAOk0Yt3a/lZUF68iryvPpu63bTcSozP4BIKUWzv9Ams/HUMqVTGp3AZ9t/4I7F9+J59B7tVFl5JnBz5BsSGyopyIIwjGaXYDleElu77vvPgYPHswLL7zAJZdcwqpVq5g+fTrTp09vpBE2LI/Hy/bcSiZ0b7ovISkRUnBn1+5dxDltjZJ/ZVXuKhRyBe0i2lOmSyBq71Ki9iyhqGPdVp70jevLnB1z+H7P90zpM+X4JwjCCVIoVfSO68MPE75m3u4f2Fmxj67h7ZjQ5jySjEnIgpSar7OYDnDzMtjxM2Qskkqj9r0ewluB+pjArFoPnc+TyiOv+USqPtLmTKpa92fKTxfj9BxZfuzxevhm1zd0j+hIUsdLfK+zbyksn+bb5qiAOZfA7Ssh6phVbol94Pb/YONXkL0G4rtBzyulVS8ioaUg1I05Ca7+XsrHtHGulNC67w1QfhDmHZPUvXCHVL796h+k14jxr0LhjbDuU2llW/fLpJVvEa3BVk6n9d/w3ZCX+bVgNRsq9tJWn8CFicMxW0tJ6Xs/VW47N/x+A16OfFZzeV1M2zydjvF9GRSW1Mi/DEE4BRojdL8EUgZICeIrsqXgY/uzpXnSGDwekg+u4dORb/Nf4Tr+zF5OpDqMy9pNIqWyiDBDDNy6HNZ9DkU7pPfRHpeDOfj4Nuev5/Ptn/u0WZwWHlr2ED9M/JpIvaiqKQiNodmVaT548CCJiYkoFME/hP/888888sgj7N69m7S0NKZMmXJSVYSaczm7A8VVjHjlLx4e25EeKeFNMgaPx8t1s1bzUA8bN2y7Di7/UvoA14Ce/vcZtAoN57c9H4DklR8j83rYNum9Ol97zvY5rC1Yy6KLFqEKUt1AaB6a89ysjdfjodppRa3SN1xgJRCnXarYcSJBC49b2s+t0vLppo94Zf1bAQ9LNibz6eiPiAk7tALHUgizx0PhzoDHM+oxGPFg4D6v90jJaHFnO6SF6txs8VwOaf6XZsLbvYIfd9s/ENflyM9Ou7Qa7eigbPEeeKcvAN7WQ6mOSEVlyUOesQQ8Llx3b+ClXXP4cueXAR+iT2wf3jrjLcI04t9HYxPzsw48binYWMcV0yetIgc+HC5tve1yAY70USgdFhT/vg2VuXDeu9DrKvB4pKpEKr1/8uqjFFfmcOPiO9hTtidg/21db+D2Pvc20JMRBOFoDbqC5cILLzzhY7///nuAE9pDOmHCBCZMmHDK42rOtmRLy/VToxs+qWwwcrmM5AgdO3NzpeX8DRxcKbAWcKDiAOe1Oa+mraz1IJJXz0RfsBNrbIc6XX948nAWZi5kadZSzmp9Vl2HKwh+ZHI5miCVAxqUKkAS22DkippAzO7yfUEPy6nKwX14GxCApxrK/HMy1MjfKgVSAibWlJ3cGAVBODmHvxQ6yms/7tgthYHmZXVVzZYE2f6/0ez/27e7upJ9tbx2ZFmysLvthCG+4Ash5Kj3xkblcUnBFYCtP6A5tspXwQ7p/+XyoJWJjubyuMi2BMh9dsjuigN4PG7kYhWpIDS4Br3VenSG8+P9ESRbc8qJNKgx65p2pUVShI4dpUBk+nGPravV+atRy1W0MR95LEtcJ6p1EcRu+6nO1082JZNuTueHPT8c/2BBaG5cDqjMl/KgHKXCWkRW+X4KK30/UFmqLRRaC7FUW4Jesk9096B9bcPbojm6rLlSB7Gdgx5P6tCQWJ1icTgpqLBTYQtSlUFoEpV26b+LxSH+u5wQjwcsBdIf51GvDaYEGPM/GH5/4PftE0kurQmrtcqXRhNGz9ieQfs7RXbCoGy6m0NCw7I73RRU2Cmtqm7qodQvaylU5kG17fjHHmYrl7bcVuYd99CgFJraP2On9D+py2kVGtqHtw/a3y+6G3K5glJ7KVmVWRRbi0/q+vXJ4/VQbCumyFaE2+M+/gmCEGIadAXLzJkzG/LyLdKW7HLSopr+A0pKhI41u8PxRKQ3eC3vVXmrSTOn+27fkckpbzWAqN2LOTjoFtwaU50eY0jSEL7Y/gWF1kJi9KLKgRACvF7pA9yq6bDzN+kO1sDbqWpzBgerS/l4ywy2FG0hWhfN5M7X0iWqM4X2Yt7f+D57y/aSbk7n1h63kh6ejkntO3/6Jw7ErDFTHuCu95SedxJxdCJafSSc9QzMDrBqUGuGdmPq+YnXL6vDRUahhbcW72Z7biWtI/XcfWY7OiWYCNPVUrZWaFAVtmp25FXy5sLdHCix0inBxN1ntKNNjBG9ptmlh2seyrNh6/eQsQSG3iu9LuxaIFX16nEFRKTBf+/BoDvB7YDfH5VeR9qOlqp7HY8xTkqgu2aGf1/6SBSaMM5tcy6zt87G7rb7dMuQcVvP2zCom/7zi1C/XG4PmSVWPlq2l7/3FBFpUHPL8DYMSI8k2hjCiXariiBzJayYJm2FbT1UmlcRqaAM8t5QbYWSvVLC94OrwBgDA++QcrmYTzL/kCkOznwKvrnWv88YJyWfPglmYxz39ryD6xbe7H85lZGhrc5kY8FGPtr8EXvK9pBkTOLGbjfSLrwd0Y2YmyWvKo/f9//Od7u/w+v1MjF9IhPbTCTBKBLgCy1Hs8vB0hia615Vr9dLn/8tZFSHGC7q07Tl9jbs2stLSwtYNmofrdr3aLDHKbQV8uCyhzi3zbl0iuzo06ewV9Bm0fNkDbyZ/O51Ky9ndVq576/7uKvXXVzX9bo6XUtoOM11bjaJ4gz46Aywlx1pSx3G6rOf5OaFt/hULgK4utPVuL1u5uyY49M+dehUxqaORXlUOWWvx0NG6U4eWvE4u0p3AWDWmHmg592MShlJmOGYu932Ctj1Oyx4EKwlUltsJ7jwY2l1S2PmnTkJHo+XRTsKuPmzNX7FGJ47rwsX901BqxLLpU9Efc5Nu9PNN2sO8sSPW33aZTKYflUfzuwUh1ze/FdFNaqKHPjsQijJkPKifX8THHsHOqU/9LxKqiLU4zJpVUvpATj7eQg7wQoilfmw7BVYN0vK2SSTQ6eJcPZUMCeRXZnNnrI9vLLmFQ5UHAAgRhfDPb3voXdsb1LCRKngptCQ753bcyu44L0V2J0en/aLeifx2PjORBhCMFBtLYXFz/kHE5UauP53KfFzIJn/weyJ4D5mFU/f62HEQ2CKP8lxlMDWH2DRM2A/dMMjsRdcOB2ig69GCaayqojlOcuZunYapQ5pW2Db8LZMHfI/ihyl3L7wdp8E1QAP9H2AC9teiLERtjnnV+Vzy8JbyCjL8GlPMiYxa+ws4g0n+fsThGaqUW8Tffvtt3z99ddkZmZSXe374rRu3brGHEqzlFtup6SquknzrxyW4s0FFOykFQ2ZT31t/jpUcqXP9qDD3NowLAndiN06n/xuF0gf9E6RXqWnV2wvftjzA5O7TD5uOXBBaFLVVfDXi77BFSDnzMd4YdVUv+AKwGfbP+O9M9/jy51f1pRnBHh+5fP0ievjc3dIJpfTNqoTH416m9LqCpzuaswaM7GGBBSB7txpw6DrhdB6MNhKpG0E+mjp7l0zll9h5+HvNvkFVwD+98t2RnaIJSVS798pNKjCSgf/+2W7X7vXC4/8sJmfkswkhOuaYGTNWMZiqSxz10mw5Vv/4ApId9R7XysFVjZ+KVUgiUiFk1kBaoqDMc/C4DulwKraIG0vOnSNtQVrmb5pOld2upJYfSxujxuby8bcHXPZU7aHO3regVYp8i61FGXWap6ev9UvuALw7bpsbhiWHpoBFkt+4JVaLgf8PAWu/BYMUb595Vnw24P+wRWQqvT1vfHkAyz6SGnOth8jBX2UGum99djHPkEmQzRj0sbTK7YX5dXlKGUqwjVm7Hi5ddEdfsEVgDfXvcnw5OGNEmD5J/cfv+AKQLYlm9/2/ca1Xa5FXofP+oLQXDTav+K33nqL6667jtjYWNavX0///v2Jiopi7969nHPOOY01jGZtU5YUvU6PboJkmceIrNqLATs7LQ375WNt/hpah6WiVgR+gy5tPQhteTZhWevr/FhDk4ayr3wfW4q21PlagtCgbGWw/Ue/ZovGGLRCAMDust0kGn3vVFucFortgfdaR5oSaRPVkY6x3Ukwtw4cXDlMrpCWQMd3k1avNPPgCkCptZriIPkCHC4PueUnsedeqDc55TYcLv8vbABFlmpKrC0sx0Nd2StgwxfS39OGS9uCgtn9pxQIBTjwz8kFVw5T6aXATEJ3qQT7oWuU2cv4de+vHKg4wAsrX+DeJffyf0v/j8dXPM7W4q0sPLCQ/Kr8k388odmqtLtYua8kaP/SXYWNOJp6dGB58L6cdUdWkxzNUQG5G4Oft3/ZqY1FoQRzijTfYjqccnDlyOVUxJtb0yGmO22iOxFlSqTEXhL0c0C1p5rcqtw6PeaJsFRbmLd7XtD++RnzKXOUNfg4BKExNFqA5b333mP69Om88847qNVqHnzwQf7880/uvvtuysuPk/3+NLElu5xwvYoIfdOXEpaVZNBKXcGOkoZLPlVeXU5G2V7aR7QLeowtMh17WAKxW+fX+fE6R3UmUhvJjxn+X1wFoVmRAXL/1wH5cbbiqOQqPB7/L66n6x2h461UU4iVbE1CeZztP3Lx38WXTHYk+azHHTwRrUIlfVnzuKXqf0FuXJz6MGQoaqlAopQrxerQFqi26apShOh/72PfXxXH/Bzw3/Ex76PHnlPP860+Hf+9sOG3ysqQoawlibZSrkRGiP57EoRjNNoWoczMTAYPlu6q6HQ6KisrAbj66qsZOHAg77zzTmMNpdnafCjBbbP4gFKcQbK+OzuKA99lrA/r8tcjk0n7Q4OSyShrPYi4LT+grsyn2hR3yo8nl8kZmDCQX/f+ygP9HkCjCOHkbEKLUu2upshWRKFVuhsYo4smZtRjqH5/xOc4U0U+3aK7sblos9815DI5qWGp5FTl+LRHaiOJVBkhb7N0J9wUB/oY6a50ZS5UFYDTDmEJYIiRtgQ0c3anm8JKB3kVdtQKOTEmDXFhWhTHfBOINKhJCteRXea/UsWoURJvrvtWhsNjya+wo1TIiTVpiDVpUCpOz6DWiYgP02LUKLE4/Le6JUfoiDy05aDa5abg0O9WLpMRG6Yl1qjB6nRTbHFQaHEQplURbVQTYwrRbSn2cinZZmWeVMXHGOO/zUBjgn43wb5lsPt36HwerPpI6pPJof9N0PYscFRCeKqUELvfzaA1QlkWhCcfuZbbJc17S55UkSgsAQyxxy2n7vV6cXlcXNj2QpZlBb5TPyF9AgkGkaiyJQnXqzijYywLtxcE7B/VIZYii4Nii4Mym5Nog4ZIg5oIgxq3x0t+hZ3CSgfVbg/xYVqijWp06maQxLr1EGmV1tD7pPc9p1VK2r5nERTuBF2E/zm6cKlqXnw3aHOGNHdVeqmi1/LXIX0UlOyXSqLbSqX3Wq0ZzMn+12pk4ZpwEg2Jfp8PAAwqA3GGOAqsBRTbirG6rMToYojURmJU19+KeoPawGUd/5+9+w6PqsweOP6dXjIlk94LAQKE3rsooliwi2Jn7XXVteyu/tRdd1d311VXXXvvDXvDAoggSAsQSqgJ6b1MymT6748LgTAzAZJJZkLez/PwKLfNmyF37p1zz3vOxaypWON3/fzB87Fo/bzvgtAH9dqnXEJCArW1taSnp5Oens7q1asZNWoUBQUF9MM6uz68Xi95pY3MGhwGafe2BrDVkZakYkmRB7vbi6YHnlLkVm0g1ZiGTtn5XPvGlHHEbv+G2G1fUTrp6m695rTkaXxT8A3Lipdxasap3TqWIARDs7OZZUXL+Ovqv2JzSYEAvVLPX6Y8wMzJN6Ff/Wz7tvGL/4/7Lnieq3+4lhZnS4fj/GH8H/h679cdlilkCh6Z9jCxP/4NNn9wcMXwC2HWPfD6POmLFkhPxaffCZOuh4je6yhwrBpaHXywtpj/fL8Th1sKAEfqVfzvkrFMyLCgVh58Ehdv0vLERaO47OU17duC9HDysQtHEmfq3pfyhlYHn+aW8ui3+e1TXsw6FU9dPIZJA6JEAd0AYk0a/jN/FDe8vb5DfRy1Qs7j80cRb9LSZHPyzZZyHjyk/oNFp+K96yfz3x938e2Wg+1Rs2INvHzlODLDYHrtMWmuhB8egs3v0f5GWDJhwXvSNLxDpU6EjJnSFKAF70tfBOsL4OxnYO8yeHf+wWNEpsMZj8Gi30uZLOe/DNEDpQ4oe5fCpzdI0x1A6kA091EYdi7ozH6H6fF6yK/L57Ylt/HYCY8xNWkqv5b92mGbgZEDOS3ztI7dAIU+z6hV8efTh7KhqIG6w6Zb3js3G7lMxpWvrmFrmbV9+cxBMTx6/kiK6lq48e0N1LdKLdjVCjl/OGUwF01IJVIf4mwPYwKc95JULLq+UFomk0k1js58Qgqm+Ntn3lOw9O8dzzdLJlz8rlSb5aMroTr/4D6DT4PTHpWCOSGUYkzhr9P+yo0/3ojT42xfLkPGQ1MewuV2ccniS6hslab4yWVyLsq+iOtHXk+0rntTlg41OnY0ExMm+gRZcqJzmJkyM2ivIwih1mtdhK655hpSU1N58MEHef7557nzzjuZNm0a69at47zzzuOVV/wUm+oh4dippKzBxtRHl/CHOYMZnxEV2sGUrocfHmDnyHt4cL2Gr8+PICcmuF8UbC4bty39PSeknMD4+HFH3D5uy2cYyzez6bL38XZWJ+Io/H3130kyJPHsyc8eeWOhV4XjudnTttRsYcHXC/yu+3DumwzdtRx2/yA9lR52Di5DPMXR6Xy59ytyq3KJ08exYMgCkh12mlw2PixZyo7mIrINacxPOZGkXUvQqvSw7JGOBx//OymYuvWTjsvPexlGXtgzP2wQLNlexe/eWOuzXKWQ8f0dM32+ZDvcbkrqbLy/tphNxQ0MijNw+ZR0UqP06Lv5JPWXXdVc/orv0zilXMbi22eSFdfHvvB3ItjnZqvDRXGdjbdWFbKrqplRqZFcPCGVlCgdaoWC9fvqOP+5VR32uWBcCl6vl0UbSn2Olxql46PrpwYlK6lXuJ2w9BFY8R/fdYY4uHap75PvpgqpPkTeRzDmcnA5oOhXWPlf32Poo+GM/8BHV0ldSS56S8pweW4aeP1kpi78DtKn+B1qaXMpF3xxAc3OZvRKPS/MeYGq1io+2/0ZDreD0weczvj48aSZerIkvtCZnr52ltS18u2WCn7KryTWoGHhtEwSTBp+98Y68iuafLY/bXgCSZFaXllR6LPulSvHM3to17ORg6KxBF48QcoeO9wJ98LMu32nALmdUvH5Xx7z3eeaJfDJNVIL58ONWgCn/L3btVW6y+a0Udpcyse7PmZH3Q5SjaksGLIAs8bMBV9cQJPT99/x7vF3c9mwy4I6zbi6tZotNVv4YMcHeLwezh98PmNixxB3ePdCQejDei2D5cUXX2yvDXDDDTcQFRXFihUrmDdvHjfccENvDSNstRe4jQ2DG/K6vaDUkhJjAuzsqHMHPcCSV5OHy+NikKWT6UGHqM+YRlTBCqJ2L6V2SPcyT6YmT+Wd7e9Q3VpNrD4MMoaEfqvV2cqrW14NuP71bW/yV2LRxA2RpvF8fx/Klhoy5z7KjeOup8nRgFahR99UBi+fQKxCxV2DTqHNnIK2ZBfKpf+Tbgov+cD34Jveg3Oe9w2wLPsHDJgJhhDfAPtR1+LgiR93+l3ndHv5LLeMO+Z0bG2pVigYEGvgnlOzsTndaFVyVIruf541tDp44oddfte5PF4+XFfMvXOHiHbDAejVSrITjDx41jDanB50KkX7tKrmNhfPLPEt5jx7aBy/f2+j3+MV19kobbD1nQBLUwWsecH/uuYqqN7pG2AxJkD26ZB5gvR3W730BN6f1lppSqAhHspyoaUWNrzhP7gCsPxfcOEbUseww2ys2kizs1k6rKuVy7+9nBExI5g/eD5apZbJCZOJ9PfEXzhupETpuXp6JgsmpaJSyNEoFWwrs/oNrgAs3lrBC5eP9xtgefyHnYxJs7RPBQyJqu3+gysAq5+TApiRh7Ucb6qA35733V4bKU0x8hdcAanr1/Q7Qh5g0al0DLQM5I5xd9DiaEGv1KNVaVlcuNhvcAXglS2vcGrGqcRHBO9+IFYfy4lpJzI5cTJevOhVopOfcPzptQCLXC7vUKBx/vz5zJ8/v7dePuyFU4Fb6vaCKQG9WkGcXtYjdVg2Vm8kXh+HWe0/JflwTkMszXFDScj7hNrsUwIUIDs6ExMm8n7++3y19ysWDl/Y5eMIQnfZ3XYKGwsDri9sLsMWEYXmQL2FAyo2o1JpiFLtv+mp3N8dwO1Emf81PmFaZ5vvwZ02/+dRfaFUpyEMOVxu9tW1BFy/rdyK0+1B5af+iVIhxxjEuih2p4eiTsaSX9GEw+1B20lRUAFUCoVPwMvmdFFQ4/veer10mOp1uNIGG+PS+8gcflcbOJoDr6/bA5zkf92BOklNFQen+vjTUCQFWJorpYBL/b5OXm+v9JngJ8Cyq943kJhXk9deC+q7874jksjAxxaOC3K5DIPm4D1qTbM94LYeLzgDnKtFta04XD3XQOGo1PgPjgPSOeXy87MFOmcj06CxOPDx3M7Oz/VeplFo0OgO1iDcXR+4M2FdWx0OT890ddOpOi8PIAh9Wa9Wmqqvr+eVV15h+/btyGQyhg4dysKFC4mKCvGUmDCwuaSBzJhwKXC7WyqUB6Qa5WwPcichl9fFpqrNjIkbfUz71WVOJ+23lzCWb6YpaVSXXz9CFcGYuDF8uvtTrsq5Kjzec6Ff0il1ZFuy2dXg/2Yv25SBrsbPl6LUydINoL0JlJqDBfk0RmzDz8UWmYauoQjdls+km0V/NzIaI3j8BFJis8O2G4JWpWBQnJH1++r9rh+bGuk3uNIjY1ErGBRnoKbZfwvTUamRaJSi0G1X6NVKhiSYKKxt9VmnVcnba7IcLj2qDz0JVemkJ99tDf7Xxw72vxykYIkX6dzXR0FrgDa60QNgw/6iloY46dze8xMkjIRBc6QCuYW/QNFqiBsWsMD1rNRZaBQaipqK+HHfj7S5DwZsEyISRN2VfireFLhRgFIuC9hhaGC8IfT1qeKHBV6ns0hFn71esO0/t/TRgc/Z+sLOa6wotaA+Qrt0t1MqmitXBayF1FOGRUvvRWJEInPS5xChimBH3Q5+LvmZGF2MaAghCF3Qa3d/P//8M5mZmTz11FPU19dTV1fHU089RWZmJj///HNvDSMsHShwmxkTBt07nDawlkudBYA0k4ztQc5g2VW/m1ZXa+fdg/xojR1MmzGB+E0fd3sM05KmUdBYwJaaLd0+liB0lVapZeHwhX7nNytkCq5In4tm+5cdV2TNlgpefvcneP0M+OBycDtpnfNXtl/8OvdHyFlYu4L7ImRsu/g1Wuf8RfoCdbixV0Gen3Np9oNSJ5MwFKlXc9cp2X7X6VQKTh/Zex1MzDoVfwgwFo1SzrljkkXwtosiNEpuOWmgT4LVN3nlXDgu1e8+g+IMJEX2kelBAIYEadqAP5FpUn2VslywH/Lk21oG61+Ht86Dt86BkvVSYWp/TMnSl7WWGqljii4aJlwDF7wmFfLcswR2fgcZM6QCnbP+LNV5OoTVbiW3KpcXN7/I4n2L8Xg9PHHiE0xPnt6+zS2jbyFOL2on9EcxBg3j0iP9rjt3TDIrdvmfgnP3KdmhL3IbMzhwd58ZfwC5Gta+DG+dK/1Z+4p0Pvk73+xW6aFEfI7/4425QurU5Y/XKwVolvwN3jgT3rsI8r+Rpgn2kqHRQ7lv0n1cP/J6ttVu44d9PxCti+bZk5/l3on3EqsLz/sBQQhnvRZgufnmm5k/fz4FBQV88sknfPLJJ+zdu5eLL76Ym2++ubeGEZZKG2zUtzrJCocOCPUFgFe6OQPSTXJqbF5qbMELsuRW5WJSG4mPSDjyxoeSyagfMJPIfavRNnSSjnkUcmJyiNJG8dnuz7p1HEHorlSlgWem/JVo7cH52TG6GJ6d+Ripba1Sd58DMqbDrHul4nzrXpG6FexdiuuHB1iZNJiLlt/J98VL2Nu4lx+Kl3Lx8jtZmTQE16HpyQoVTLoBxlwKNYfUM1Eb4KT/gxj/QYNwMTzJxGMXjsKkPfi+pFh0vHftJJIjezflODvByH8vHo1Zd/AJfnKkjnevnURKL4/leDMgJoIXLhvXoU7DusI6rpiSzhVT0lEeUttmQoaF166a0LdaNSuUMPpSKchyaMZY0lg480n48jZ4cRbs+FbqTmIth/cuhi9/D+UboWIzfHu31Bp28o1SNssBiaPgrKfhp79K7ZvPelqq/6DSwqpn4McHpeBNRR4s/zd8f7/PU3Oby8ZXe7/iim+v4JfSX9jTsIdvCr7h1p9u5eyssxkWNYzfj/296PzRj0UbNDy9YCwzBh3sOieXwfljU7jrlGzOG5tCatTBz0GTVsljF45ieHLvZmj4ZUqCK76AxNEHlyk1MOMuqQ36m/Pgm7ugfJP05+s7pUDL8HP9nLNjpEyyC9+A9KkHl8uVUi2XKTeCPtL/OGp3wwsnwMonpbowRavg/QXww4NSplov0Cl05Nfl89Cqh1hXuY7dDbv5aOdH3LnsTjJMGeJBgSB0Qa91EdLpdGzcuJHs7I437zt27GD06NHYbLbeGAYQfp1KvttSzg1vb+DZS8diCXVUf/uXUtR+9oOgUFLe7OHOpW28c4aeaSndn1Hmxcs9y+8hxZjKqemnHPP+MreLAT/9g/oB09l3QoAnd0dp0a5F/Fz8M0vnL0Wr7EM35sexcDs3e5zXC2tfxrPpXaqn3Ei9TvqZLa2NxK16DtmsP0vtWltrpcCIxiTdfFXkdThM+cVvckHuv7A6fOsxmNQmPj7hKRKbKqU0ZJVemi7w4ZXSFzNzMnj2TwPMfVtKgT79sV5PUz4WLreHqiY7tS12lHI50RHqbrdc7iq320Nlk526FgcKuYyoCDXxIRpLTwrFuen2eKm0tlHX4kAuo/29tTncVDfbsdqc6NVKog3q0D8R7yqnTepoUp0PcoX0JWv1swcLcGqMcPM6KPgZPr2u474n3CO1aI5Mg6m3QmOpVHNFY5KmMSg10FAsZbst/BpK1sHHAeqOnfwQTP097K+VV9JUwrzP5uHyM40wxZDCC3NeID4iXkwfCBOhvHY22hzUNjtosbsw6VREG9TttVqq9p+/To+H6AgNcUZNezHrsNBSA6010nmos0jnz8Z3pYCKP/OegpHzpbpGtnpp2lBELLTWwzvnw2n/ko7haAaNGSo2SV2+LvkQojI7HsveBJ9eD/lf+3+t63/uGADqITvrdnL+l+f7XTc9aTr/mvkvjJojTHESBKGDXqvBMnbsWLZv3+4TYNm+fTujR4/urWGEpbzSRqL0qtAHVwBq90idChTSr0Z8hAyNArbXuYMSYClrLqPGVsus1BO7tL9XoaQ+czoxO76nbPyVOLtRlX160nS+3vs1Pxb9yJkDzuzycQShy2z1kPs28vKNxH98LT51+pf/Cy79+GA3g5pdPsEVgFqV2m9wBcDqsFJrqyLxvf2toE+4B5oqpWy1b+/x3UGphRP/HNYBFqVCTlKkjqQwyBJRhNFYjjcKuczve6vXKEnX9GoJuZ6j0oGjBT64zP96e5MULNnwhu+6+BHw87+geA0MPRs+vDzw6zSWQu5bgddvfEfKqDFIUxkKGgv8BlcASppLsLvtIrgiAGDWqTHr/N+/xpm0IQt+H5WIGOnPAa110oOGQDa8AcPOkmquHFp3Ze/P0lSfdwM072hr9F1ma5Ay1ALZ/lWvBFiWlywPuG5l2UqsDqsIsAjCMeq1O5TbbruN3//+9+zevZvJkycDsHr1av73v//x6KOPsnnz5vZtR44c2VvDCgubSxrJDIfpQQB1u8B4sI6BXCYj1ShnW5DqsGys3ohariLdmN7lYzRkTCF69xLiN39MyZTru3yc+Ih4si3ZLNq5SARYhNDxU38l8Dr/qbqyAMv9rvd6QdZJgUGRDiwIvetozjl/nxOH7nekY8hkx/RZ468uVMfDic8J4XgkC3SZ3b9ajt8NjnC+BDw/ZTKpYHXA1+p5nZ3rMtkR3g9BEPzqtQDLggXS09N77vF9YrpgwQJkMhlerxeZTIbbHeL2bb3I6/WyuaSRk4cGr8d8l7kdUjpxQscOPakmGdtrg/NvkluVS6Y5E2U3Wpd6VDrqM6YSt/VLysdcjFvb9SftM1Nm8lLeSxRZi0gzpXX5OILgo7lKSj92tkodCAxxoNRBwz5pyo/bKaUWn/Yv+PEBmHCtNGdbJpM6BK15USo82dYoZZYpVaC1SPO9y3I7vFS0w4ZZY6bR7vuUzKwxE+04ZArmxnfh3Odh/av+xz3sXGm8PaS22U5ti4NWh4tInZpogxqjNry6kFRZ26htcWB3uYmO0BBjUKNTHycZE2GqqqmNumYHbU43Jp0Krxea7S6iDWrijBrUyuO43bU+RvosaKmW/h4RC1Nvg5hB+wOiMjj9X1CzW5pGlPex9LliiIcFH4DXJT0YMSZIrZsPpzZIRTZPuBfGXiFNN9yyqGOR6zGXS+PYL92Ujkquwulx+hwu3ZSOWR2+GW5C8DW2OqhpcVDbbEerUmDRq0ntS127Ajn8Oh0RB2MXgkIDE6+TzhWQ7o/XvAhjr5SK3dYVSNdxlV7KgIkfJm3r9j1fiBksTds7nM4CQ+bBts/8j23ovKD9mJ2ZkTKDJzY84XfdzOSZ4lwXhC7otTvGgoKC3nqpPqWk3kajzcmA2DDoIFRfINVi2F/g9oA0k5wVJU6cbm/AtntHo9FhZW9DAadlzu3uSKkfMJOoghUkbF5E6cTfdfk44+LH8W7+uyzatYg7xgXo6CAIx6pml5SuX7Vd+rtcAWc9B5ZUWHQNWEul5SodnPMCjL8GvrrjYPtHnQUWvC91/3nvInDtb4uaPF6qj/LGPOmGcL+YX5/lbyfex+9X/BGP92C2mVwm528T7yNm6SE3T9ZS6Utbzrmw9dOO4zbESx0UtD0zh39fbQs3v7uBLaXW/eOTCiLefWp2WKSRe71e8iuauP6t9RTVSe+vWiHnhhOyuHJaOtERYkpET9hd1cT1b21gT7VUjFkpl3HRhFSGJZr4+zfb+fPpQ5k3KqlDMeHjijFRCnq+O18Krpz9LPz0F6m4JkhPsoefD4NOkYrfnvuiFKh98+yDnwMDTpLqQ7x/Scf26zIZnPkELHsE8j6UlinUMOl6mPNX+OEB6Qtgznnt9VdAKrR936T7eGjVQx2GqpKreHjaw8TqRWeR/qKswcbLv+zlrdX7cLqldIsBMRE8fckYcpL68Jfvmp1SF77qfOnvcqXUaWvKzdJ58/Wd0jRekK7Jp/5dKjT/40Ow/pWDtcvihsJF78Cp/4Bv7u74GkqNdF4eXn8FpK5dsx+AwuW+rdbH/04qxNsL4vRxXD70ct7a3nEKoUlt4s7xd2JQh0mGvSD0Ib0WYElP7/qUkOPZllLpifOAcGjRXLtHusEyduzuk26S4/TAngYPQ6K7/hRxc7V0szjAnNWtYQK4NQbqM6YQn/cpFSMvwN3FL4RqhZrJiZP5dPen3DL6FlSK4/QGXug91jLpi8+BIApIN2IJOfDKyVIxvQNkCikz5f0rpaDHAYY4qNwqdfs4VOk66QvRdT9L9RQKfwFTMsqptzIpZhAfzfuIt7a9xc76nQy2DObyYZeTqo5GOedh+PUpaUzp06WaLnMelr60rX1ZajM5+DTp79HdPz/9qbS2cdVraymoaTn4tnjho/UlGLVK7j1tCJoQZymUNdi46MVVWG0Hv6A63B6eWrKLZIuW+eNTxdSIICtrsLHgxd+obra3L3N5vLzzWxG3njSQsWkW7v9sC+nRemYMOk6/1MvlUivlG1ZK3YK++QPU7T243uuBvI+kp+BjLgdHk9T551B7l4BaD9cuhbUvSbWaYgbDpBthw+sHgysgPY3/9WmY+0/pi2HSGKnY9SG0Si2nZpxKdlQ2r299neKmYkbFjmLBkAWkGAK0txWOO263hy83lfHqysIOy/fWtHD5K2tYdONUMsPh/vVYNZZKDyoOzfjyuOC356VMluLfDgZXQPr/bZ9DQxGsfbHjsaq2Sy2WL3wDLnobNn8gFa5OGAk550DJWojLAZ2f+9ToLLh2GWz+EHZ8A7pIqWB1wsgezSQ9lFlj5tqR13JC6gm8vvV16tvqmZkyk7OyziLZkHzkAwiC4KNXc57feustnn/+eQoKCli1ahXp6ek8+eSTZGZmcvbZZ/fmUMJGXmkjURFh0gGhdjcYEg6mRO6XbpKeam2vdXcrwLKxaiNJhiQiVMFJK63LmoWlcBUJmz/uVhbLrNRZ/FT0E0uKl3BqxqlBGZvQj9Xs6hhcASktf+e3HYMrIN18bXyvY3AFpC9Rvz3v//j7VkLBcunJl71JKkqr1qMDBuujuX/S/bS529AqtGgOtG6NiIaEl6RMGI3x4DkemSp9sXPbQR/bXty6J5Q22DoEVw71zm9FLJyWGfKU8/X76jsEVw71xA+7mJUdd1x2CAqlHZVNHYIrh3p79T7uP3MYK3bX8J/vdzI8yYwlIgyulT1BpZOehLdZOwZXDrXpXbjyK9+n5AfkfwVJo+H0/0hdTFR6qUPJ+tf9b7/qGbjmR5+HKgcY1AaGxwznb9P+ht1tR6/Ui4cQ/UxJg40Xl/v/faxrcbC1rLFvBliqd/ifTgew6n/SlLzdP3ZcPuJC+CpAdyFrmXQP/fOjkDEDorKgbg+8c6GUgZY913+ABcCSDjPulLJnFCops6WXWbQWJiVOYkTMCJweJwaVAUU3pvILQn/Xa73SnnvuOe68805OP/10Ghoa2uusREZG8uSTT/bWMMJOXmkjmdFhcnGq2QVG35REvUpGnF7G9m4UunV4nGyp2crAyIHdGWEHbo2R+oypxG/+BOWhTxqOUbIhmcGWwXyQ/0HQxib0Y9U7fJfFDJEyUg5nToHaXb7LTcnSzVogZeulGzF9lPTU+hAapQazxnwwuHKAWi9tf/gXJH2UNEWhB4MrQPuUG3/sLg82Z+hrb20p89+JCaDC2obTFZxi38JB+eWB3/P6Vifa/VlNe2uasfeH97++k+nUTps0jcHfZ8YBZRul/+qjQKWVst4CaSz2XzPiMFqlFrPGLIIr/ZDd5aG2xRFw/fZOzt+wVr098Lq2BqkGy+HkKinbM5D6Qimomfs2rHwStn8pZcW4HWBv7nw8cgXoLSEJrhxKr9Jj1phFcEUQuqnXAixPP/00L730Evfddx8KxcETd/z48eTl+bYd7Q+8Xi9bShvJCIfov9shzek2+0/9TTfJ2daNQrfba7fj8DgYGBnc6Qe1A6V2z4m573frOLNSZrG2ci17GvYEY1hCfxab7busJh/ihvkubyyFaD9BR2tp51N1ksZ2fXyHs7dI7SI9wf/y2upwUWm10WJ3kmYJnJ2iUcrRqQLf0DW1ObHajvxFEMDudFNhlWpbHavhSYGnGiaYtKiUvXbJ7DeGJARu/xmpV9Hmkq47A2IMaA55/21O6Xerqe3Y/53DWtSAwOuUWukLm7/PjAPihoHykCyfxFGBtzWn+AZcBeEQGqWc6E6yxoYkHHl6dnVTG2UNtvBqYBE7JPA6baSU1Xk4j9N/sdoDLBnQXOm7XKE+cuDE45amITn8Z3kKgtC39NrdYkFBAWPGjPFZrtFoaGnpnx8oZY1t1Lc6w6P+St3+Ardm//Mt00wyttV68B4+leEobazeSJTWQrQu5sgbHwOPOoK6rJnEbfkCdZOfC9tRGp8wHpPaxPv53QvUCALRA32L0214E7JPl6YBHGrbZzD6Et8WjrlvSbUT/FFHwKA53R9nczXs/B4+uATePg9WPS3NLw8Cq83JtjIrD3y2hWvfXM99n27BpFOSEe0/yHLppDTiTL5PDCutbXyxqYyr31jHwtfX8uHaYioabX6OAC6Xhz3Vzfznh51c/+Z67nh/I8t3Vgfc3p+x6RZMOv+ZPLefPIg4oyhyG2zZCSZiDf7f18smp/NZrjTd7urpGazaU0NxXSu7K5t45Jt8rntzPXd9tIk1BXVUN7X15rB7jjk1cJBl9CVSLZaJ1/pfr9TCiAs6LkubAoE67U2+BUrWSYFeQfAjJVLHdTP9/z5GRagZkRy4yG1RXQtfbirjtvc3cvM7G3jxlwIKA0wT7XWx2QGnxjHlZuk8O1zexzDlJv/7mJKk4MvhxWoBRi2Qpt8HUr8PVjwBb58vFd3ds1TqbCQIQp/VawGWzMxMNm7c6LP822+/ZdgwP092+4EDBW7DIoOldpeUohjgIpBuklPX5qWy9dgDLB68bKzaSJY5i54oD1k/YCYelYakdW92+RhKuZITUk7g8z2f0+RoCuLohH7HnAxXfNHxCZlcARVb4dJFHYMvHpeUon/B69JTswOaq6TCkyf/RfrS1H7sFLjyS+lLWHe01EhFMt+9EPYug9L1UvHcV+ZIac7d4HJ5WFNQx7xnVvDxhlI2lzTy2cYyLn35N569dCw5h2SJyGVw4bgUbpiV5VPgttLaxs3vbOC293JZU1DH+n313LNoM1e+toZyP0GTnVXNnPPMSl5cvpdNJY0s2VHFFa+u4dUVhUf95Ts5UscH100h7ZBaMGqFnFtPGsicYfGiwG0PMGmVPH/5OLIO6aSnlMu4ZGIaiSYt6wrrueuUbDaXWLnp3Vzu/GAjm0saeXPVPjaVNLJ4ayXzX1jFZ7llNLQGnsrQZ5gS4bJPpCKXB8jkUuAkbQpseAN00TD3UWk6wgHGBLj0IzCndTyeOVWq22LJOLhMoYYpt0hP5D+4FN4+VwRZBL8UCjmnDU9g4bSMDl0kM2MieGPhxICdvYpqW3joi63c+l4uq/bUklvcwD+/28Flr/wWsBZXrzpwLT0041SugEk3wJjLpHbMh16TdRapNtrYK2HCddK2B8QOka758TnSdfsAmQxyzoeZdwXuzFe7B146EZY8LF2H9/wEb50DS//hP1gjCEKf0GtFbu+++25uvvlm2tra8Hq9rFmzhvfee49HHnmEl19+ubeGEVa2ljYSqVNh0YdBim71Dqn+SoA6DBlmKRa3rcZNQsSxxeX2Ne6jwd5AVhDrrxzKo9RSO+hk4rZ+TsWoC2mLyujScWalzuKbgm/4bPdnXD7s8uAOUuhfYgZJN28tNVIbVX201H5VpYervoHWWmlaXkSc9MVIqYWU8VJgRSaTtjUkSEUvc86Flmop7V8fK30B6676QtjsJ1urqQJ+eQJO+6dUv6ELShtt/PGTzbg9HYOxlVY7N729gdevnojD5aHF7sKiVxNj0GDQ+n7urCusY90+39pKOyqaWby1kiunpLcHPKqa2nj4q2002X0L1L74y17OG5tMrPHIP49MJmNooomPbphCXYuDNqebGIOGGIManbpXa8L3GxVWO7e+u4FrZw4gxaLH6/WSYtHh9cK+ulaevHg0H64r5qftVQCs3VfPmaOSyIjWU1h7sK7PP7/L56QhceFRML67ojLh8k+kzw9Hi/RkXCaDtka4abXUTt0zXcpka66Wrtv6GIhM79BqGZD+njgSfrdYylCzlkmfJVs+kYrcgnT93/aZlDV3+P5Cv1bT1Mb9n21hbk4Cn98yncZWBxqVAo/Hy1++3Mpfzs7xW3h6b00LS/KrfZaX1Nt4c1Uhd50ymAhNiO99YwZLwccO1+k40ERI/71xpe81WaGEkx+UMllaa6VrekSM1PkPpC5CrXVSkWldlHRMQ4DuZ44W+Omv0nEOt+4VGL9QqqUkCEKf02t3jAsXLsTlcnHPPffQ2trKJZdcQkpKCv/973+5+OKLe2sYYUWqv6IPj6eiNTs6fSoeo5MRoYKttR5OOsaO2xurc9EptaQYe67dW336ZCx7fyHlt5fZfdrfunQMi9bChIQJvL3tbRYMWYBSLr5QCd1giDt403WoqEzpz+HMKb41kBRKqcOAJcht7jd/GHhd3gcw6x5Qde18rWtxUNPsP5OgsK6VaqudCZmd3zS22J28/Vvg6Urv/VbEvJGJRO+fWmK1OVm1189N6n7Ld1UzJPHoW7nHm7SiW1AvWbm7hrLGNv7y5bb2ZXfMGcw3m8vZUek/m3Dx1gpmDo6lcNW+9mUuj5dt5Vay4kJbJDJoImKlP53RDOy8HkuHbY2w7BHYs8T/+g1vSF1S/H1mCf2Wtc3FL7trWL7L/5SVpflV5CR1nCbkcnlYtL4k4DG/3FTGFVPSyQx1gAUCX6cVSv/XZJDqqWgMR38dD6S1DvK/DLx++5eQMOLojiUIQljptUcVNpuNSy+9lH379lFVVcXq1au54447SEk5yg+i49CWMivp4dBByNEspQd3EmCRyWRkmOVsrT72ImW5VblkmgegkPVgVXK5kuohc7HsW42hvOtFk0/NOJWyljJ+KvopiIMThDDj7eQ89nqha6WW2nfvdP1RHNwLndZ78hxjLageqN8rBIm/f0tZgOUHeL34fTBxrL8X/Y63kxOhs3VCv+X1dv6Z7vGzzkvnlxB/+/Rbnb254pwUhD6r1x7Rn3322Zx33nnccMMNKJVKzjrrLFQqFTU1NTz++OPceGOAgo7HqeomO1VN9vBo0XygrewR6jqkm+Rsrjq2AEuNrZbiphLOyjqrq6M7ak1Jo2jb8zMpq18i/5z/+hYOPQrppnSGRg3l1S2vckr6KeGRXSQIwTbiQlgbYGpmznlSu8guijaosehV1Lf6dneJUCuOaqqOQaNiwYQ0Gm1OFk7LxKxT4fWCzenmrVWFzB2egOWQqSBGrZLx6Ra/U4oAZg4ObnFtIXimDfT9t/l1Tw1zhsVj1Cq5fEoGOpUCmQwabU5eW1nAnGHxvHNYhpNcRof6PsJh1BFS/Yi9y/yvH32pNJ1BEA5h1CmZMiAaS4SKs0cn4/Z4USlk7K1u4ZUVBZyY7ZtlpVLKOWdMMl9tLvd7zNNHJBDTSWeifkMXCYNPgx1f+18/9MxeHY4gCMHTaxksGzZsYMaMGQB8/PHHxMfHs2/fPt58802eeuqp3hpG2NhWbgXCpMBtdb508xXR+ZeQTLOckmYvjfajf/yQW52LQqZggLmT1pPBIpNTNfR0jJXbiCz8tcuHOS3zNLbVbmN1+eogDk4QwkhUFgyZ57tcHwUn3N2xeOYxSjLrePjs4X7jmw/MyyHeeHQ31pMGRHHrSYP4z/c7uP6t9dzw9nr+9tU2FkxM48yRicjlB18g3qTjwXnD/LZ6vnRSGjEButQIoRdn1LBwakaHZav31jF7SBwXT0zj4a+2ccPb67n+rfU8/v1Obj1pEAPjDOypbu6wz22zBxElvrR1Lm1KxyKcB1gypaCrvAezTIU+Kc6o5W/nDCfVoue293K56Z0NXPvmej7fWMb/Lh1Loknnd79BcQamDPAN2MUZNfxuWiZGnThX0Rhhzl/8d/kaeTGYulnMXhCEkOm1DJbW1laMRiMA33//Peeddx5yuZzJkyezb9++I+x9/Nla1ohOpSA2HNp+VudL2StHyNbI3F/odmuNm6nJR/ers7EylzRjGhpF71xMW2MH0xIziJQ1r9KQPrlLN4w50TlkmDJ4cfOLTEma0gOjFIQQM8TCmY9LnUlW/w/sTTDkTKlLQjfrvaiUcqYPiuHTm6bx4s972FnVTGaMnutnZpEZE4H+KOfdN9vd3PZeLq5D8slrWxzcs2gzX90ynaTIjtsPjjfwxS3TeP3XQtYU1BFtULNwWiYjk83EiXoqYStSr+aWkwZyQnYsz/+8h9pmBycNiUOpkHPvos0dMugrrG38/v1cvrxlOvPHp7ChqIFEs5ZrZwwgO8FIVEQYXE/DmSkRLn4Xdv0oFdH0uKQWsjnnHH3dCKFf8Xq9rN5bywvL93ZYvq3cyk3vbODzm6f53S89OoJ/nj+CVXtreW9NMTaHmzk5cZw/NpXMcHiwGC6isuC6n2H967DzOymrZeptkDIRIkRGmSD0Vb0WYBk4cCCfffYZ5557LosXL+aOO+4AoKqqCpOp/6X1bi2zkhGtRx7qKShetzRFKG3qETdNNMjQKiCv+ugCLC2uVnbU7+CktNnBGOlRqx5yGhkrniJ691JqB598zPvLZDLmZc3j6dynWV+5nnHx43pglIIQYoY46YvVgBPA45ZaUgboInasIvVqRuvVPHLeCJrsLgwa5TF1d3G63by1urBDcOUArxeeWbqb/8wfhf6Qzj4alZJB8UbuO30I9a1O1Er5UU1HEkIv2qBhVnYcY9MsON0eVAoZ9y7K81uewOn28sHaYv7vjGE0tjnRqRTtxY6Fo2BKgnFXwNAzpJNJFyU6BwkBVVrbePKnXX7XVTfZya+wkhTpP4slLTqCtOgIZgyMxeXxEGfUoBXd2DqSy6ViuSfdD1NvAblKCrIIgtCn9dpV9YEHHuCuu+4iIyODSZMmMWWKlBnw/fffM2aMn5TV49yW0kbSwqH+Sn2R1CruKFoby/cXus2rObo6LJurN+P2ehjYQ+2ZA2mzpNGUMJykdW8gc/u2bT0ao2NHk2ZM4+ncpzsttikIfZ7OIk0PDFJw5VBmvZoUi/6YW+faHB7ySqwB128vt9LipyUzgF6jItmiF8GVPsikUxFt0GB3edheHvjff3NpI14gxaIXwZWu0kdL570IrgidsLs8VDfZA67fWhr4PD0gyaIjLTpCBFc6o1BJXcNEcEUQjgu9dmW94IILKCoqYt26dXz33Xfty2fPns0TTzzRW8MICy12F0W1rWREd73OQdBUb5NusI4yPTjTfPSFbnMrN5AYkYhJbezOCLukZvApaK3lRO/8oUv7y2Qyzhl4Dusr17OqfFWQRycIQeDxgL0ZXP5bIocDt9tDi92Jy92xG4LDJS13B2gnoVUpGBQXOACdGROBTh2cehFOd+djEXqfTqXstD7ZoDgDWj/1dvoNZ6v0YEQQeoDN6cLmkO7z1Ao5kfrA0zoHxR8nbdF7i9Mmzl1B6Ad6NZyckJBAQkJCh2UTJ07szSGEhfyKJryESYHbii1gSoGjrJEyIFLOtwUuGu1ezJrA05ucHheba/KYmBCaf1+7OQlr4kiSNrxD7eA5eLvwdH5U7CgGRg7kifVPMDlxMnKZeNInhAGPBxqLYPNHULBMqp806QaIGgDa8Jhu6XC5Kam38e6aIraUNpIdb+SyyenEGNSUN7bx6spCSupbmZwZzXljk0m26FEcUrRWrZSzcHomH64v8TtN5NaTBmE4ylougTTbXRTXtfL6ykL21bUwISOKC8alkBypQ6kQ53qo1DTZ2V3dxOWT01m2o9pnvUwGC6dloFb2w3+jpkooWy91APN6YewVkDpZqq0iCN1UZW1jc2kjb6/ah8vj5eKJqUweEM2NJ2TxyLf5PtubdEpGJEf2/kD7ouYqKN8Ia14Et1Pq2pUxXZqyJwjCcUfk64XAtnIrCrmM5ADzVnuPFyryIGHEUe8xIFK6qd1c7WZGSuBfn22127C77Qy2DOr2KLuqdtDJZC5/nKjdS6jNPuWY95fJZFww+AIeXfMoX+39qldaTQvCEVVvh1fngv2Q1OxN78Hpj8HoBaAO7RNFr9fLhqIGLn/lN5xuKTqyem8db/9WxDMLxvDSLwVsKKpvX/7SL3v58IYp5CR17KSQFqXnuUvHctdHm2nePx1Iq5Lzl7NyGBTXvZ+xzenmh22V3PHBxvZlq/fW8fIvBXxw/WRGpkR26/hC19Q02/nLV1v5clM5H90whfvOGMp/vt9Bm1PKgDJolDwwbxgRmn5469JUAZ9cLwVVD9izROoKdPG74oua0C1V1jb+8OEmftld075sxe4aRiSb+N8lY9lV1cwnG0o4kOiXZNbyxEWj0apCXEewL2iugi9/Dzu+Obhs7zKIy4FLPwJzcsiGJghCz+iHdymht63MSopFhyrUT0mtZWCrlwpsHaWECBl6JWyu6jzAklu1gSithWhd562fe5LdnERTfA6Jue9JxW67kIEy2DKY8fHjeWL9E8xOm02EKgyyjoT+q7VOulGz+5n3/t29MHA2RIU2wFJptXPbe7ntwZUD3B4vf/wkj7+dM7w9wALQ4nBzz8ebeevqiR26wOjVSmYPjWfx7TOptLbh8XpJMGmJNWrQdHN6SHWTnT8u2uyz3OZ084cPN/HedZNFa+cQ2FPVzJebyhmVYmbVnlo2Fjfw34vH4HR5kO0vCP/W6kL0KgUpljCYYtubStZ2DK4cUJYLu76HcVf19oiE40hucUOH4MoBeaVWvt1SQWaMnleunIB1f2Hp+lYnf/wkj2cvHUu0QdS76lRFXsfgygFVW2HLIphyi6iFJAjHGRFgCYFt5Y2khcPNYfkmKegQmXHUu8hlMrIi5WzspA6L2+thQ1UuQ6OGEupnG7UDTyRj5TNEFv5KQ+b0Lh1jfvZ87l9xP89vep4/jP9DkEcoCMfAVi990fLH44bSDdJUoRCqa7FTFaAoYqPNiUohRyajw9SfrWVW6ludPm12VQo5yRYdyZbgZvvtrWnG7vL4XberqpmGFocIsPQyj8fLu2uKADhpSBzfbilne3kTS/KrUMpleKG9To5SLrUCP9biyX2WvQnWvBR4/dpXYMg80dZV6JIWu4s3VxUGXP/ZxlLm5iSw8PW1qBVynB5P++f30h1VDE0Mj6mpYclll6b0BbL+NRh1ERjie29MgiD0OBEy7WVuj5cdFU2khUOB24rNUnFb1bE9fciKlJNb5Q7YXWdPwx6aHE0hnR50QFtUBq1RmSRu/KDLx4jRxXBm1pm8ue1NdtTtCOLoBOEYef0HBdq5nb0zjk4cqVas2+P1G3j19GK3Lpe789c6wmqhB3jxtge95HJZhwwol8fboQixy+PpX0WJvV7wdHJue5zAET4bBCEAr7fzz0Sn24t8f40sh9vTITjuDBCoFvbzesDdSSF6jwv60UeZIPQXIoOll+2rbaHN6SE91C2avR4o2wTJ445514EWOZ/tdlHa7CXF6PtVaUPVegwqA4mG8JgTXpc1i5S1rxFRuY2W+GFdOsbcjLmsrVjL/Svv590z3kUl716BTUHw0VQuTQFCBnoLGP0UrtRGQtxQqNru/xgp43tyhH45XG6qmuw02qTUcZNORXSEmpOHxTN7SBxOtxe1UsbPO2v4YmMpSoXMJwiTEa3HrPV/TlVZ26hvdeD1gkWvJs6kweXyUNJoo7HViVIhx6RVHlPb+4FxBhRymd8v6SkWXaddM4SeoZDLmT8+le+2VLB6by2zh8ShUcq5cmoGRq0Si16NVqWgytpGjFGD3elmR4UVtVJBdIQak05FY6uD2hYHNqcbs05FnFGDWtlL3YYcLVKtBXsTaIxgiAN1kK7zWpNUFHPfr/7Xj7wYdCJ7Regag1bJheNS+K2gzu/6U4fFE2fU8NWt07E53GhUcupaHPz1q23Myo6jttlOXYuDZrsLo1Y670w66TO0tL6VhlYnLo8Xs05FSqQOpVKO2+2hcv91Q6WQEaXXEGUIs4y09msyUltzY0Ln2/uj0sGYy2H3j/7XD78A9FFdH6MgCGFJBFh62bZyqXZCelSIM1jq9kh1HGIGHvOuAy3SDeuGSjcpxo5JUF68rK9cz0DLQOQhnyAkaY4fij0iloRNi9hzStcCLEq5koU5C/n7b3/nhU0vcMuYW4I8SqHfcrZByRr47CZoLJaWRabDOc9JARPlIVNVDLFw5n/hjTN8s1Wm3goRcb03bqTpQO+tKeJ/S/fQur+t59XT0nnr6km8vGIvN72zAZfHi0IuY25OAu9eO5mnftrV4RgKuYy/nzuCOFPHTDqH201eSSN3friJfbWtACSatbx21QTyK5r429fbqGmWngwOijPw7wtGkpNoQnUU9VliDBruPHkw//6+Y0aaXAaPnDeCeJOoKRAKwxKNjE2LZOXuWu6YM5hhiSYe/S6feaOSiIpQ8+yy3VhtUsHjEclm7jplMA99uZVRKZHcNnsQf/40j9V7pS9EerWCW08ayEUT0oiK6OEvbk0V8NPDsPl96Ym0XAEj5sPJD/oPlHZF1okQmw3Vh2VRRqbB8PNFDQehW6YNiiE7wcCOiuYOy5MjdcyfkMrXeeVc/OLq9oLj49ItPHfpWMxaFX/+NI8ftlXi8UptnS8Yn8ztJw+ivMHOXR9tYleVdMwYg5r7zxjK5MxoVu6p5eGvt9HQKl3HcpJMPHHRaAbFGdrrLYWMs02aivv5TdAgTVuUrsnPQsqEjtfko5E6CRJHS12EDmVMhPELQSEC+oJwvBFX5F6WX95ElF7VHt0PmdINoNSCOe2YdzVrZMTrZeRW+tZhKW4qpsZWS3bk4GCMMjhkchoypmIp+AVVs28Rt6OVYc5gXtY8Xsp7ibUVAepgCMKxqi+At849GFwBaNgHb50N9YW+2yeNhut/geEXSi2aUybAgg9g2h2gM/tu30PcHi9fbCrj34t3tgdXAJweeGH5Hj7ZUIprf4aI2+Pl67xynvhhJ1fPyGRcuoUUi45TcxJ45crxlNS3YrN3DBiV1Nm45KXf2oMrAGatippmB7d/sLE9uAJS3ZTLXllDUb3tqMYeoVFyyaQ03vrdRCZmWkiO1HHa8AS+unUG4zPE08RQaXW4uWbGAO47fQhtTjd3fLgRvVpJZkwEj36b3x5cAcgrlYJv984dyvRBMSx8fW17cOXAsf753Q6+2lSGpyenE7VZYfGfYePbUnAFpHpIm96Db/8ItsbgvI4pGS77FOY8DDGDpFpLJ94HV30DkanBeQ2h30o063h94UTuO2MoWbERZETruXPOYL64eSord9fwr+92tAdXANbvq2fha2uptzlYvLWyPSvR4fbw7m/FNLS6uPTl39qDK8D+z+5N7K5u5tHv8tuDKyDV4Zr/wipKG47uM7xH1RfCW+ccDK7A/mvyOf6vyUdiSoQF78Fp/5SCpJZMmHk3XP29FCAVBOG4IzJYetm2cmt41F8pWQfRWaDo2q/A4Cg56ytdPsvXV65Hp9SSagqvG77G1AnE7PiO2O1fUTbhqi4f58wBZ5Jfl8/dP9/Nh/M+JE7fuxkDwnHG2Qa/PnPwi9mh3E747QWY+ygoD3kCr9RI04TOekrKQlNqQGfpvTHvV2Vt478/7vJZPnNwLNe9uc7vPj/lV3Hl1AwmZUYRqVezt7qZm9/ZAMCEjCgGxEqBZ6fbw7trinwK0d55ymCeWuL7mgDNdhffba3g5rijy8qzRKiZMTiWkamR2J1uIjTK/tn+N4x8k1fOY9/v5NObpvLSL3vxeGHBxFRe/mWv3+1rWxxUNNpIsug6BOIO9d+fdjEnJ55Ec3ALJbdrqYatn/hft/1zmP1/wQt8mpOljiOjLpYKZ+hjQNFLU6CE416iWcfV0zI5d3QyXiBKr6KovpWnftrtd/uyxjYKa1sZkmgkv7ypffnFE1L5YVtlh4DMof770y4uHJfCs8v2dFje0Opk9d46LhgXwntkZxus6uSavPo5KVByrFkspiSYeD3knC9N0ddHd/n+WxCE8CcyWHrZ9nIrqaHuIGS3QnU+xGR3+RCDLHK21XhodXZ8MriuYh1ZkVkoZOF10+dRabGmjCNu29fI3P4v+kdDLpNz/cjr8eLl9qW30+ZqC+IohX7H0QJlGwKvL10Pjmb/69R6aU54CIIrILU0rm/1LbzpcHk6LXRrtTl5Yfle/vHNdt5fW0yLw02Lw90hC8bmcLNhX4PPvrFGDfkVflpU77exuAGb49jOb7NORZxJK4IrIdbmdLGxuAGQukdtK5P+nZMideypbgm4347KJqy2wAVga1sc2ByBu951m62+Y0usQ3m90vpgksul+i7GeBFcEYJOLpcRY9QQa9SgUMhxur1UWAPf5+SVNjI6JbLDsmFJJjbtP5f9yS9vCliH8LeC2q4MO3i6c00+EplMmuZrjBfBFUE4zokASy9qtDkpb2wLfYHbknVSBD226wGWIVEKXF46tGsuay6nrKWcwZauH7cn1adPQWWrJ7IwQKHAo2TWmLl59M3srN/JH3/5Iy5/TzqEvs9ll1L9u8Pjlo4TiEoLlozA66MypSJ5Pcjt8RxTJwiHy4PL40GrkqPbX+9kVIqZC8elcGpOPFpV55cVvVbB72cP5JHzhnPJJCk9WqWQoVMpcHs8OFwetCoFmTG+geimNicpkYED1BlRenRqcePal3g8XuwuNxqlglOGxXPhuBTUChnnj0vm/LHJuN1e4oyBnxanWPToO/k316sVaHqy0K3G0Pl6tbHj391O/92+gvF5IwhBppTLMOmk8ysnycSF41KYOzyh/bM/MzqCfXUtzMqO5cLxKUweEEV5g430TjK1ky06qpv8Xxez46Xzxev1YncG7lYZVG4n2PcHTcLgmiwIQt/X5+5EH3roIf7yl790WBYfH09FRUWIRnT0dlRIKZRpoS5wu+9Xad6n1tTlQyQbZRhUsKbczdRk6ddoXeU61HI1mabMYI00qBymRFqjMojd9iX1WTO7daxMcybXj7yeZzY+w4O/Pshfp/4VhVw8TTwuNJZA4Qop7V8XBROukeodHEul/7YmaCiEda9JtVUGzoHsub7zrdURMP0O2PGN/+NMva3HbubqWxwU1Lbw1qpCGm0uzhqVxKTMKBIj/b9eeaON9YX1fLqxFINGyWWT03nlynG0Oj1sLbOysaiBGIMavVrJvXOz+ed3vi3N/3PhKGIjNFRa7eQWNTI2PZLFt8/g1901uL1e7vk4j/pWB2eNSuKqqZks2lDaYf+XfingupkDuP2DjT7HVshlnD8+JSjvjdDz2pxuShtsfLSumDiThqEJJjYWNTBtYAwlDTZ2VjZjc7hpsjt57rKxLHx9bYcaLAAapZyhiSbanG4i9aoONR0OuGJKOrHGHixyq4+VilgW/+a7LmUCRMRK/99cBRVbYP1rUmbL2CsgcaT05W7nd7Dre6mm0viFEJkBWqPv8QShlyWatdx64kAyYiLYVdnM2sJ6LBEqnrx4NOv31TMqNZJYo4aftldRXN/KqJRIJg+IJs6k5dWVhX47td1wQpZPsXOQCuTOzUmgsKaFT3NL2VTSQE6iifPHpZBi0QW/I1hzFTQUw/rXobkCMk+AIWdI1+T8r/3vM+33oAqDaf6CIIQ1mbdXwsPB89BDD/Hxxx/z448HW54pFApiY2OP+hhWqxWz2UxjYyMmU9eDDMfqjV8Lefirbby2cALKUFX8d9ngvUsg6yQYcEK3DvXYGjsaBbw7T8rIeeDXBzCoDJyVdVYwRtojTMVrSdr4AZsueQuHqfvdHVaXr+blzS9zWuZpPDz9YdG+uZtCdW62ayiG18+QCtodavodMO120EUe+RiOZsj7GL78fcfl+mj43XcQc1gB6DYrbPkYvvvjwWwXpQbOeByGntWtQGggDS0O/rdsNy/9UtBheUa0nneunUzyYUGWsgYbl7+yhj3VB1OjI/UqXr5iPNe9tZ66FkeH7R8+O4fShjae//ngHPsH5w3FoFFxz6LNHWZUmLRK3rlmEvd/toVNJQcLgl49PZOcJBN//jSPNqeUYaNSyPjylul8urGUl38paL95N2iUPHbhSCYPiCJSf4xz44WjEsxz0+X2sHJ3Db97Yx3njE4iLUrPEz/u4p5Ts8mvaOKLTWUdth8Sb+Thc4dz0Yur8OxPtjLrVDx50WjijGoe+Tafe+YO4Zo31lF1yJPx00ck8NC8HJ8OVUHXsA/evxwqNh1cFj8cLn4XLOnQVAmf3wy7f+i4X8YMGHclLLqm4/Izn4SRF4L6CNkxgrBfT14791Q3s+DF1R3OLYB7Ts1m5qAYzn721w6BFJ1KwSc3TmVPTTN/XJTXXotFIZdx1dQMrpySzhurCnltZWH7dFKTTsmbCyfgcMPlr/zWof6WSiHjjYUTmTwgGrk8SB2GWmph8wew+E8dl0fEwsLvYN8K+Paejtfk0x+DYef0yDVZEITjS5/LYAFQKpUkJHShH32I5VdYSbHoQhdcASheC24HJIzo9qGGRMtZtMOJw+2lzl5FcVMJ52SdHYRB9pymxJG4t3xObP53lE5c2O3jTU6cjFwm5+XNL9Ngb+CxEx7DIG6K+yZXG6x43De4ArDiCRh+wdEFWJqr4Ks7fJe31sI398CFr3c8jtYEoxZA1myoK5DmaVsypDoLPZS9UtJg8wmuABTWtvLqir3cO3dI+9NCp9vDO6v3dQiuAFw0PpXHf9jpE1wBePCLrXx60zTGpVuobrITY1CTGRPBGU+t8ClXYW1zcd9nW/jDnGyufG1N+/JXVhTwwBlD+f6OEyipb8Xt8ZIRHUGMQc010zK4cFwKe6pb0KoUpFp0xBk0GELdnU04KpVNdm59LxeP18uZI5P43RtrMetUpEbp+ddi38yn/Momlu2o4uPrp7KjsgmDRonX6+U/P+zgkXNH8J8LRxNn0vD5LdOoaGyjweYkzaIn2qAmUt/DLZpBauF62cfQXAnWMjAmSXUWDPuLoBf/5htcASj8BbJP822//PWd0gOQKHEtEUKrotHGP7/N9wmuAPxr8Q6GJZl8pvHYnG5uencDfzhlMP+6YCROt4c2p4c4o4ZvtpTzSW4pt588iMsnZ1BY24JerSDZokcOnPvsrz7FzZ1uL7e+l8uXt04nKUCG5TFrrYHv/+y7vKUavr0bznkeBpzYa9dkQRCOL30ywLJr1y6SkpLQaDRMmjSJf/zjHwwYMCDg9na7Hbv94MXBag1cJLEnbS0LgwK3BcvBnHJs0x0CGBotp80Nm6vdVNrWoZarGBAZ+N8hHHiVGqxJo4ne8T2l46+AIEzrmZgwkQhVBM9tfI5Lv7mU/574XzLMGd0fbD8QLucmID3R2vRe4PVbP4WE4Uc+TvFvUo0jf/YulYpeHh6oUemkJ92W9KMebnd8mlsScN0Ha0u4ZsaA9q4rtc0O3ltb7LPdmDQLLyz3393F44XVe2v5cF0x1c12kiN13DRrIA63//dlc0kjlgjf4Mg/F+/gtBGJTM2K6bBcp1YSa4KBcWIaRU/pyXOzsrENa5uLwfEG8kob8Xph+sAYfthWGXCfTzaUEmvU8vj3O7C7PO1fwr7aXM6fTh8KSF1Qeqxb0JEY4qQ/hz+8aLPCb88H3m/rJ5B9escAi9cjfY5Ehff1VAid3rp2Ntvd/JRfFXB9blEDQxNNbC3r+PoFNS2oFHKuf2s9WpUclVxO0/5MlniThgUT08iIiSAj5mBNwq1ljQEL6ta2OKhttgcvwFKwPHBx6r1Loa1hf0vl3rkmC4JwfOlzRW4nTZrEm2++yeLFi3nppZeoqKhg6tSp1NYGrjz+yCOPYDab2/+kpvZ+C2G3x8vOyqbQtmh2NEHpOkgYFZTDZZjk6JXwa6mbNRVryTQP6BNTZBrTJqBpqcZUujFox8yJzuG+Sfdhc9m46KuL+HpvgPm7QgfhcG4e5O28IK3DfxtYH84jdJbyhr6QZasjcFFbu8sNh9x3epGKDR7Oc4TZpXaXB7lMhtXmQimX0+bnGIdy+Zmr73B76PxVhJ7Sk+em031gype8PVCiVMh8nlwfyu7yoFbIsLa5OmxnO8LvVch53VJ2XCAuOyj8XDeP9Dki9Gu9de30er1+66gcYHe5UQaYtnNgvzanpz24Iu3j8Rvb6Ox1wP81ostctsDrvN7AD0kEQRCOQp8LsJx22mmcf/75jBgxgpNPPpmvv5a+yL7xxhsB9/nTn/5EY2Nj+5/iYt+nsT2tqK6VNqcntB2ECn6RuhQkBSfAopDLGBqtYFlxK0XWIoZGDQnKcXtaW2QadkMcMTu+D+pxEw2J3D/5fkbGjuSPv/yRP/3yJ5ocTUF9jeNNOJyb7TRmGHRK4PXDjrK2UNrkwOvihoFSBzW7oGq7NJ1g/51mTWsNexv2srdhL7W2nm1VedaowPWHFkxMxe31sq2ska1ljXi9Xk7N8Z2SWVJva+/44E9OkonCWqm97tbyRoYlmZAFmD6fGqVDr1Lw4uXjePbSsfznwlGMTbNw0pA4jNo+mWjZ5/XkuZkYqUOtkLO7qpnRqWYA1u+rZ+agmID7zMqO5beCOp/lc/38boYVbSSMvCjw+oFzpMLzh+vsc6Sb6mx17G3Yy56GPVS3VvfY6wg9p6fOz9J6G9vKrWwta6S4rhW9WsHYtMiA249Js7Cj0vc+JzpCHTBgOjcngUi9b1AxOkKNQeP/816rkhPbSTexY5YxI/C6hJGgCf/syEZ7I4WNheyu301lS2XvdFwSBOGo9Pk714iICEaMGMGuXb4VyQ/QaDRoNKEtfJhfLqVPplpCOH9z52KIyQ7qhSMnRs4722ScmK4P++lB7WQyGlPGEbPrJ+SO2/Cogxf00il1XDviWobHDOed7e+wtmIt/5j+DyYmTgzaaxxPwuHcbKc1wskPSanDzsOyVTJnQXTW0R3HmABjroDcNzsulyvg9H9LRfW2fS4tMyXhOP8ltmr1PPjrQxRYpbooA8wDeHjawwyLGoZSEfyP6YFxBiZlRvl8YZ0xMJp5o5K56rW17K6Saq4MTTDyxEWj+WFbZYenkG+v3sf/nTmUG9/e4PNk8byxyazfV4/TLS33eGBnRROXT07nzVUda9zIZfDQvBy+3FzG/5ZKRXFjDRpuPWkg0wfFYNSGf1bc8agnz81Yg5o/nDKYR77NZ1uZlVNzEli8tQKtSkFOku90A7NOxbljkrn69XUdlk8ZEE1KKK+pR0Mmk6YArfqfb30nU7IUSFnxeMflYy4HQ3zQh+LyuNhZv5P/W/l/7KzfCUCqMZWHpj7EyJiRaJU9XAxYCJpgn592p4stZU386ZPN7KyUPvszovX8+4JR/N+Zw7johdU+UzxPGRaPXqVoL0J+qL+clcPynb5Ti0w6JTeckIVW5Ts9O9ak4YF5w7jn480+6/58+lBiDUH8PDLEw/DzYcuijsvlSpj7iDSVPowVNBbwwMoH2Fi9EYA4fRx/nvhnJiVOEnUABSEM9LkuQoez2+1kZWVx3XXX8cADDxzVPqHoVPL49zt4c/U+nrt0XK+8no+6PfDFbTDmMojPCdphi5s83LOsjTMHfsUtY8YG7bg9Tdlaz8Cf/s7eE++hNruTrIVuqLHV8OqWV8mvy+fKYVdy29jbUCt6oeBiHxbyLkJuF9QXwC+PS0UptSaYdCMMnScFTo5WcxXsXSYVx22pgtTJMPNuWPmkVMvlAKWGvZd/yPnL78Dl6diCVi1Xs+isRT1Sz6esvpXNpY3kVzTxWW4pzXYXMwbFcsMJWZz1zAqfJ485SUaeuGgMr68s5IdtlejUCq6Yks68kUnUtTp48sddrCusI8ag4cZZWUzIsFBQ08JTS3azu6qZjGg9N584kMHxRtbvq+elX/ZS0djG8CQTvz95MBuL6/nrV9t9xvnGwgmckB0X9J9fOHbBPjcbWh1sLG7gqZ92ccmkdJranHyWW8qtJw0ir7SBT3JLaXN4mJUdywXjUrDoVTy1ZDer9tRi0qm4dFIap+YkkBrVB1qm1hZA3S7Y/RNs/xLwSu1gc86TMueW/QOKV0NEnNSxbMCsgwVyg6jIWsQFX16A7bDpEQqZgo/mfcQgy6Cgv6bQO7p7fu6qbGLeMyt8giVKuYyvb5uOw+Xh2WV7WFNQhyVCzRVT0hmbZsGkVbK7uoX//riT4nobQxKM/OGUwWTHG2m2u/liUylvrd5Hm8PDqcPjuWbGANKj9MgCpDNabU62lVt5/Icd7K5qITMmgjvmDGZEshlzMIuYN1VAUzmUbYI1z0vFbVMmwsy7wGmH9CkETLkMsbLmMhZ8vYC6Nt+MvldPfZUJCRNCMCpBEA7V5wIsd911F/PmzSMtLY2qqir+9re/8fPPP5OXl0d6+tEVowrFl7hr31xHZWNbezG+Xrfqadi3CmbeA0HsYlTdWssflrqZmVrP3RO7XzC2N6Wueh6XxsDOeY/12Gt4vB6+3/c9n+z8hEGWQTw+63FSjOH9ZCSUQh5gOcDZCrZGKeskIrbrN1otNeB2Sllj276Az2/ssNo+4gIejY3j44Kv/O5+yZBLuGv8Xaj81Wjohs9yS7j9g02MTYtk7vBEdCoFCSY1P++s4e3fivzuc9H4FP58+lBsTg8KOcQYNO03yc12J81tblQKGdGHPGWssrZhc7rRquTEmw5mGpQ12HC6PRg0SjaXNLDwsMyEA7Ljjbxz7SRigvnkUuiSnjo361sc2F0eTFolG4rqKaxtxeZwoVLIkctlrCus59st5UzNiuGcMUk0t7lJseiYNjC6vdNVWHM54If/gzUvwsDZMPBkQAZ7lsCu72HCdXDiH6WaKwoVRASeJtUdbo+b/238Hy/lveR3/WkZp/HQ1IfQq/pAwErw0Z3z0+5088/v8nl1ZaHf9WeOSCTGqCYnyUxGTAR2p5v31xTzVV45L18xnpOHxe8/j93o1UpMhwRCPB4vNS12vB6IjFChOcpzttHmwOZwo1UpeqYT2L5f4bXTYMg8mHC1VGi+vhB+fEiqv3LdUinDLAx9vvtz7l95v991I2JG8OzsZ4nURvbuoARB6KDPTREqKSlhwYIF1NTUEBsby+TJk1m9evVRB1dCZVuZldGpkaF5cbsVdi+BzJlBDa4A7KjfhkljYE9DJlAT1GP3NGvyWBI2fYSquQanoWduauUyOXMz5jLEMoTnNj3HRV9dxOOzHmdS4qQeeT0hSFR66U93Hfiy5PX6bdPaGjuYTfW/Bdx9Y9VGWpwtRCoiuz+WQ6zcI9V42VDUwIaiBgBeuHwcm0oaA+6TW9xAs91Fsp9OaAaNCoPGNwgUZ/I/5eDQThDLdgSuAbGjsglHJ4VPhb7PEiF9eWpzunhj1b6AnYRyi+uZOzyB//t8C+PSLQxPNhFr7AMBFkfzwc5iu36Q/hyq8Gfw3A2mwHWRgsHmsrGhakPA9Xk1ebQ6W0WApR+ytjk7/ezfUtbI/PGp3O1n6k5ucT0nD4tvP48PJ5fLiDMe+9Qzs05NjzYEK98k/Tf/S+nP4RydFMENsdXlqwOu2167nTa3KJAtCKHW54rcvv/++5SVleFwOCgtLWXRokUMGzYs1MPqlLXNSWmDjfRQdRDa+R3ghdRgf6n3sq12O5nmVgob1dTa+tavU1PiCLxyBdG7l/T4a2WYM3hgygOkGlO5/ofr+XKPnwu6cPySySBmsM9iTXMNifrAUwGSDElolMHP3siKkeZoR+nV3HHyIO47fQgKOSSaA98IJ5p16NTH/oXW4+k8QJIZG3i+eKxBgyJM07SF4FIr5KTsD7wZNEpOHhrHacMT2n8nE0066locACRH6tB38rsYVom5Ki2YO+nwYkqFXqh9olaoSTYEfiKfEJGAWimmsPZHerXiiJ/9tfvPvcMd2rghrM67I4lMC7xOpYMeuO4GS6Y5M+C6+Ih4FLI+EHgWhONc3/pG3EftqJAqrKeFYq642yFNTUgcDZrgFr6qaK6kvq2BcfFaZHhZXxm+FyR/PCodzfHDiN71U6+8XoQqgtvH3s7UpKn8ecWfeT///V55XSFMjLhAmnJ0CP2WRVydcWbAXa7KuQqdMviP8eYOT+DZS8fw4hXjqLS2samkkVa7h7tOzfbb3QHg2hmZREUc3Tlud7rYW93M/5bu5pb3cnnyx53srmrC5vBtqXtidiwqhf8gyg2zBgS3c4QQtuRyOReOT+H3swfx7wtHYtGrUcpl3H7yYP59wUiumJrOJxtKAZg/PoW91c1UWQ8+qW2xu9hZ2cQj327nlnc38MmGEsoawuAptEoP024LvH7GHUG/NvujVqi5bOhlAddfO/JaTOoQTssUQiZCo2LhtIyA66+alsEXm8p8lutUCiZnRlFY08IzS3Zx87sbeOPXQorrWvEEs6VyT0gYAZoAv+9jr+qRItPBcmrGqQGDKNeOuJZYfWwvj0gQhMOJAEsv2F5uRSmXkRwZgm4He5aAraHzlnRdtK1uGzqllkxzDClGF+vK+14HAmvyWPS1e9DW7TvyxkGgkCu4Kucq5qTP4e+//Z1FOxcdeSfh+GBOgYvekZ6OHdBay0CHg7vG3dnhhkkpU/KniX9igLlnOnNpVHI2lzRywfOreHdNMV9tLue293O55Z0NvHX1JDTKg5cGhVzG7ScPIjPm6LttbSm1cubTK/j34h18k1fBkz/u4oynVrChqB7XYVN+Es1aXrtqok9Gwnljkjl7dDJyuchg6S/MOjW1LXZufHsDH60v4cvN5dy7aDNvrdrHiGQzRXUt3Ds3m2/yKpj3zK+8u6aI6qY2Wh0uvttSwSlPLOeFn/fydV4Fd364iXOfXcm+/a3CQypmMJz2b6lDyQFyBcz5m9S6vZekGlP5y9S/oDxkHHKZnJtH38ywqPDOBBZ6VqJJx/1nDO0Q7JbL4OZZWQxLMDI8ydxhe5NWyTvXTGRfbStznviZx77fyTd5FTz4xVZO/+8v5Ff4tm4OK6ZkuOIz0Fk6Lh84B6bfDmGczRWvj+epk57yefhy4eALmZU6KzSDEgShgz5X5DYYeruQ5p8+2czqvXX849wRPf5aHXjc8Mm1YIiF0ZcG99BeD89ufJZkYwrj4sbyfYGe38q1fHBWBYo+FLaTuV0M/OEvVA4/l9JJv+u11/V6vby9/W1+LvmZJ2Y9wUlpJ/Xaa4ezsCly21NcDmiugOqdUm2G+BwwxNGqUFHbVsvO+p3IkDHYMpgoXRR6Zc9kvW0uaeCsZ1b6XXfV1AzOGp3EtjIrXi8kW3R8vrGUOcPiOXNk0hGPXVzXwoKXfqOk3jd7IMag5uMbppJxWLDG6fJQ1dTGnuoWmtqcZCeYiDWoMfdEcUOhS3rj3Pxtby0Xvei/vsCdcwYzNSual34pYPHWivblX982HYNGyUn/+Rm3n6fmJw+N48mLxmDQhrjknKNV6ihWuVWqybT/3Ed99IHLYGhztVFjq2F3w25cHheDLYOJ1kUToerdcQjB1d3z8+cdVby3tpgLx6VQ0diG2+sl1aJHqYCP1pUwINawP8jZikmnQqOUo1MpuOPDjVhtLp/jDYwz8P61k4kJ5wxEjweayqCuQOoiFJsNhgSIiA71yI7I6XZSbaumoLGAFmeLdM+gjcIUKCtHEIRe1eeK3PZFW8uspFpCkL2ydyk0V8LIi4J+6H3WIlqcrWSaMgDIjnbwU5Ge/Do1OTH+5+qGI69CSVPiSKJ3/0TpxIW91pZPJpNx6dBLsdqt3Lv8Xt46/S2GRA3pldcWQkipluZ+Hzb/Ww/oVXpSjZ3UagiiT3NLA677ZEMJw5NNPPmjFOypbrYDUFxnY8bAmCMGPepbnX6DKwA1zQ5qW+w+ARaVUk6yRe+3gK7QP7jdHt5fWxxw/QdrizFqlR2CKwBfby5n0oAov8EVgCX5VdS12EMfYFHrQZ0BloyQDkOr1JJiTBHd7IR2NoebV38t5Ocd1Xy3pYLoCDVyuYzqJjtf3Tqdb/IqcHm8KOUyog1qbA43bU4Pj88f5Te4ArC7qpm6Vkd4B1jkcimz1Nz3zgWVQkWSIYkkw5EfegiC0Pv6UK5B3+Rye9hR0dShEFiv8Lhg03vSU7Ie6E6wtXYLJrWRKG0UAKlGFxEqD2vLw/hiGoA1eQyapkoiKrf36uvKZXKuGXkNCREJ/H7J72m0B67iLwjB1GL3f1MM0Opwo1bIqWl2tAdXAGxOF66jmFfvdHde1NYpugIJfri9Xlodnf1eujpMXTug2e7qtNOUxysdWxAE/1weD62HXBNqWxxUN0mf/V687Z/7Lo+XSqsda5sLhVyG/Qif5a4jXAsEQRCOVyLA0sMKalqwuzxk9HYHoT0/QVMFZM0O+qEdbgc763aSac5oXyaXwWCLg9/6YB2W1ugBOLXmXukmdDiNQsNNo2+i0dHI/Svu71tV+IU+69SchIDrZgyKbW/dfKjThyfidHvYVmZlV2UTVU3+W0FGRaiJCNDhRa2QB2zdLPRvbreX04YHfhgwY1As6/fV+yyfMyye9KjADzAGxxswav0XbhYEQeraNW+U/0yI+hYnI1PMPsttTjeWCDWKADWyIvUqLGKKpyAI/ZQIsPSwrWVWANJ6M4PF7YCN70pV0nsge2VH3Q5cHhcZh7WKGxLtoKBRRXVrH/u1kslpShpF1O5lUt2aXhaji+Hq4VezrGQZH+74sNdfX+h/Bscb/d40a1Vyfjc9g082lHRYHmvUcEpOPBe/uJrTn/qFOU8s5/fvb2RnpW8hwwSzlrtOzfb7ujeflBXeKeNCSJQ22Lh70WYGxhkYFOfbUcegUXLh+BS+2lzeYfmEdAuZMRHEGDWcOdL3WieXwcNnDyfGIH7nBCEQmUzGyUPjSfEzlf3lX/byf2cOQ+knkLKrsokbTvBfiP2BM4cRJz7rBUHop/rYN+G+Z2tZI3FGDQZNL87/3rkYWutg4Mk9cvi8mjziI+J9CnAOtjiRy7ys6YNZLI3JY1G1NWAq3RCS1x8dN5oTU0/ksXWPUWQtCskYhP4jNUrP/y4Zy20nDSTOqEGvVnBqTjyf3TSNrJgIzhubglmnwqRTcvnkNN65ZhLXvLmOwtrW9mOs2lPLpS/9RmFNxy4tOpWSM0Yk8tIV4xmebEKrkjMkwcgzC8Zw0fhUTCKbQDhElbWN372+hq82l3Pj2+v536VjuX7mAGIMUibUvFGJfHzDFDRKOdMHxaBTKYg3abhpVhY3zMpCKZMRFaHmwXnD+Ns5w0mN0qFTKZgxKIbPb57GyNTIUP+IghD2kiJ1fHDdZK6enkmkXoVJq+TSiWn88/wROFxuXrxiPDP3n3/Jkbr2znIXT0jjf5eMYVCcAa1KzqgUM+9eO4k5Q+NR9KWOB4IgCEEkugj1cKeSBS+uxuXxcOcc/090g85lg0XXQNQAGHFh0A/f0NbAC5tfZErSFDJM6T7rX9hoJkbv5q/T64L+2j3K6yVz2b9pShpJwUl/DMkQ2lxtPLTqIVINqbw691Xksv53c3LcdxEKM063h/IGG17ApFVhiZBSuh0uN3UtUrFqhUzG7z/YyK97av0e42/nDOeyyb6fBQDlDTbsbg9quZykUBT6FoKmp87NNQW1zH/hYOcgpRxumJXFidlxqBRyYg1qbnonl91VzZw3LoURySZaHW6+yStn9d46Xrx8HKfsn/Lm9Xqpbrbj9niJUCsx6UQwT+gfgnV+Sp/9Trx4sejVVDe1cenLa2i0OblgXApDE4002918uamM9fvqeX3hBGZlx1HTZMfp8aBVKcTUIEEQ+j3RRagHeb1etpQ1MreTegdBt/1LsDf1WPbK5po8VAoVqcZkv+uHRDv4cZ8euxs0/sswhCeZDGvyGKL2/My+GW14VL2fhaNVarly2JX8e92/+Xjnx8zPnt/rYxD6F5VC7nf6olqpIMEsBUQKa1vYUORb++KAVXtquWRiKnK5b0AwMVIEVYTO5R5W78flgWeW7OGZJXsAWHrXCeQWS9u88Wuhz/6/7qltD7DIZDLijH0vg1IQwoX02X/w5q3N6aGoTspcfGVFgc/26/bVMys7Tkz9FARBOET/e0Tei0rqbTS1uciM6aX6K45myPsYUiaAzhL0w3u8HjbXbCbDlI5C5j82NzTagcMtY2Nl37vYWpPHoHC1EVn4a8jGMDR6KDOSZ/DE+ieosdWEbByCcIDykC+tsQYNs7JjmZoV3d7RJTlS6ze4IghHI8lPEM6kVXLdzEzunDMYpVyaAhRIWpRo7S0IPUWpkKPfX7Q8OVLHSUPimJgZ1V7cNkUE0QVBEHyIDJYelFcqtd3ttQDL1k+lArcDTuqRw+9p2EOLo4Ws5KyA28Tq3MToXKwu1zIpyR5wu3DkjIih1ZJB9K6fqBvUM+/h0bhw8IVsrN7IY2sf49GZj4ZsHEL/VNdip6jOxhcbS/F64aKJqdw0KwsvoFbKWb23Fr1aycJpmazaU8O5Y1N8juHxeClrsLFidw0bixvISTJxQnYcSWYtSj/z8pvanJQ3tvHlpjJqmx2cmhPPkEQT8aLj0HGhorGN7eVWfthWSYxRw7yRiSSatRi0KkanRqJVyWlzSi1dn710LAkmLV9uLqO8wUZBdQvPXjqWq15b077NAUq5jJOGxIXiRxKEfiHBqObqaRkMjDfSYnexoaiBAbER3HBCFl9vLmNiZhRFtS0s2VFNfrmV8RlRTB4QRXKkDpnMf4chQRCE450IsPSgzSWNRBvURPbGfNS2Rtj2GaRNAa2xR14ityqXGF0UFk3g7BiZDIZEOVldpuXWsY0E6OAXtqwpY4nf8hlKWz2uHsgCOhoGtYELBl3Aa1tf44LBFzA+YXxIxiH0PzXNdv7+9XY+zS1tX/b6qkK+v30md3+0iY0lje3L3/i1kFtOzCIqwrfOxfYKKxe/sJomu6t9mU6Vz7vXTmJ0amSHG++mNicfry/hL19ua1/27poihiQYeW3hBBLN4glpX1bWYOPK19awq7K5fdlTP+3i7+cM5+wxySSatbz5u0ksfG0Nj180mjUFtbyyorB92/fWFjMxI4pXrhzPpS+vaV+uUcp5/rJxJJpFEE4QeopOo+L8calc9dqaDkXOX1lRwCPnjkDmhTlPLMfukoKf768tJlKv4oPrppCd0DP3ooIgCOFO5HX3oM0lDWT2VnvmLR+D1wuZM3vk8A1tDRQ0FjIwcuARtx0W7aC+TcHu+r5XYNCaNBqvTEb0riUhHce05GlkmbP4x5p/4PK4jryDIARBXkljh+AKwNSsaD5eX9IhuHLAM0v3UNPs6LCsqqmNm97Z0CG4AmBzurn+rfVUWts6LK9obOsQXDkgv6KJV1cU4HD1fut0ITgcLg/P/bynQ3DlgPs+20KltQ2lQs7YtEh+uGMmFr26Q3DlgDWFdeSVWvn0pqncfWo2Ty8Yw493nsC0gdFoVH2p2Jcg9C31LXae+HFnh+AKSLebf/o0jza3B6enY2ZZQ6uT297Lpba5b2UxC4IgBIsIsPQQj8dLXkkjWbGGnn8xWx1s/wrSp4K6ZwI6G6o2oFGoSfPTOehwGWYnOqWH3/pgu2aPWk9L3DBidnwf0nHIZXIWDFnArvpdfLLrk5CORegfmu0uXl6x12f5acMTfYIuh/pwbXGHv9c1O9h32M34AVVNdp+AzLdbKgIe+93fiqhtcQRcL4S32mY7H60rDrj+x22VgFTnId6k5YO1gVvUv716Hw6Xh4/WFbMsv4pogxq1UgRXBKEn1bc6+Sav3O86rxdW7q7h1GG+jRx2VDa1d6ITBEHob0SApYcU1LbQZHcxILYXMljyFoFcAekzeuTwDreTzdWbGRCZhUJ25BtahRyyoxz8Wtr3AiwAjanj0NfuQVezJ6TjGBA5gKlJU3k692msDmtIxyIc/1xuD81tvtlSWpWcZnvgLKq6Fgder7f97w63J+C2APbDMlLqO7kJb3G4OeTQQh/j9np96qYcqr714L+9y+Olyc/v3wHNdhcqhZzC2laK6ltxe8QvhiD0NLfHi9Md+FxrtDkxaP1XG3Ae4VogCIJwvBIBlh6ycX/ryR7PYGmthR1fQ/o0UPdMrYK8mjycHgeDLYOOep9h0Q4KGlVUtvS9J4zNcUNxaYzE7Fgc6qFw/qDzsblsvLjpxVAPRThGbU43JfWtFNQ0U9nYduQdQsyoVTF3eKLP8k3FjUzNig6437xRSR1qqkRFqNEFmLahUsiIPayN7pxh8QGPPWVAFBF9qt+7cKgItZJx6YFrWR1aoNbr9XLaCN8n4QdMHxjDjsomAM4YkYhBI0rICUJP06oU5CSZAq6fmhWN1+PlqYtH8+ylY3nswpFMHhCFSafE3Bv1BwVBEMKQCLD0kNzielIsOiJ6+iYw7yOQK6UASw/weD2sq1hLqjENvfLo22EOjnKikHn5rbzvtWtGrqAxZSwxO39A5g5tiqtFa+H0zNN5J/8diqyB0+eF8FLeaOPhr7Yx+z8/c+JjP3Pec7/y1eYyGmzhmzKtkMuYNyqRWEPHc/bT3FKunJLR3pb5UAPjDIxMMXdYFmfU8IdTBvt9jRtnDSTG0PGmOyvOwIhk3xt4pVzG/WcMw6wTN+l9lSVCzQNnDmtv6XqosWmR7R32yhpsPPjFVtQKORnRvtcZnUrBjbOy+Pd3O4g3aZgzLEF0KBGEXpAapee+04f6bVgwMcNCgkmLUafiz59u4aZ3NvDIN/lMzYrh1SsnEG/sg/d/giAIQSACLD1k/b76XsheqYGd30H6dFD1zHScnfU7abA3MiRqyDHtp1N6yYp0srK0b3YAaUydhNLeRGTBr6EeCqdmnIpZbeY/6/8T6qEIR6Gmyc4t7+byzm9F7Z0VShts3PJuLst31nSYThNuUix6Pr5xCvPHpaBRylEr5JwyLJ6MmAi+uGU6s4fGoZDLMGiUXDsjkzd/N5GEw7r8qJUKLhiXwvOXjW3/DEyP1vPERaO4amo6enXHoHO8SctLV4zn5hMHYtIpkctgxqAYPr9lGoPie6GGldCjshOMfHbTNKYMiEIuA7NOxW0nDeS5S8cRa9RS3dTGdW+u44N1JTzw+VYenJfDxRNSiVArUMhlnDw0jg+vn8ybvxZwak48H90wlWRL37yuCEJflJ1g5P3rpjAhw4JMJmUp3nJSFv+ZP5r/LdvNaysL26eR1rY4ePyHnazaU4snjK91giAIPUnmDee7/R5itVoxm800NjZiMgVOfeyqZruLkQ8t5urpAzqkQAfd6udg71KYcVcPBVi8vLbldRQyBbNSZx3z3qvKtHyxO4IPzqrAqO57v2ZpK/+HU2dm57zHQj0UVpet5sW8F3n11FeZkDAh1MPpMT19bvaGTcUNnP2/lX7XJZq1fHrTNBLCvLWszeGiweYEpC/EB4IiTW1OmtpcyPffZB+pyGhNkx2H24NKISf2CE8zXW4PNc0OPF4vBo0Sk67vdSE7nnX33Gy0OWi1u5HJZMQY1CgV0vOddYV1XPD8qvbtlHIZc4bFc0pOAhFqBTnJJpTI8MjAolejFV2DBMFHb1w7yxpa2x8aJJq0lDW2cdJ/fva7rU6l4Ic7Z5JiOfrMZ0EQhOOFyGDpAblF9Xi8MLgnn762VMOuxdLUoB7KXtldv5uq1mqGRQ/r0v450Q48Xhm/lYX3l8lAGtInYy7diLYhcBeM3jIpcRJZ5iweXfMobo9oWxvONpU0BFxX3thGiyP8227r1EoSzToSzboOGSdGrYqkSB0JZt1RdXCJMWpIitQdMbgCUieZBLOWpEidCK4ch8w6NYmROhLM2vbgCkjZnodyebx8u6WCOz7YyHVvrcfp8hIfKf0uiuCKIIROUqSezBgDmTEGtGolpfW2gNvanG4a9wfpBUEQ+hsRYOkBawvqMGmVJEf2YBrz5g9BoYb0KT1yeC9eVpSuID4ijjh917JwTBoP6SYnK/toN6GmxJG41AZit34Z6qEgk8m4eMjF7Kzfyae7Pw31cIROxJsC/76rFDLUCvGxKwgHHJrNlZNkYsqA6PaAnEYpR6UQtVYEIRwdKRAuAqKCIPRXogx/D1i9t47sBGPPFeFrroBd38PAk0HZM8GL7bX5VLZWc3L67G4dZ3iMg+8L9bQ6ZehVfWuakFehojFtIrH531E6cSEeVWjn/WdFZjElaQpPbXiKUzJOwaTum1NojnfDEk3oVApsTt9Mo7NGJRFt6N2irQ6Xm/LGNn7ZVUNxXSuTBkQxNNGEUaOk0mrnx+2VNNqczMqOIyNGT5zR/2dKTZOdwtoWluRXYdSqmDMsnniTBqNWZJsIXTc2zcLcnHgumpDGppIGapodnDc2GblMxpayRprtbmqa7cQYRMFMQQiVfbUt7K5qZsWuGuJMGmYPiScmQk2CSUuF1bdL3tj0SKIiRIFyQRD6JxFgCbI2p5vc4noumZjWcy+y8T1Q6SCtZ7JXXB4Xv5QsJ9mQTKwutlvHGh5r5+u9Eawp1zArLfxb1R6uPmMqUXuWEZP/HVUjzg31cLhg0AXcV3kfz258lj9O/GOohyP4kWjW8trCCVz12hranJ725TlJJu46JdunyGtPcrjcrN5bx9VvrMXplgKcLyzfy3UzMkm26Hnwi63t2z67bA8T0i08c+lYnyycSmsbd3yQy6976tqX/fO7fO4/Yyjzx6eKKT1Clxm1Ss4cmcQ1b67D7ZF+R98GsmINvHzlOC547ldyks08duGogME/QRB6TmFNC9e+uY5dVc3ty/69eAePzx/FW1dP4MIXVtPQenA6UIpFxxPzR2MRbZoFQeinRIAlyNYW1uF0e8lJMh95465oLIY9SyD7dFD2zMVrbcVarA4r05Knd/tYUVoPqUYnPxfr+mSAxaWLpClpJAmbF1GVcxbIQ5vyatFamJc1j/fy3+PcgeeSHZUd0vEIvpQKOePSLPxwxwlsLmmgwmpnVIqZ9Gg9sb38BbHSaue6t9a1B1dAmqY0OSuG372+1mf7tfvq+WBtETfPGohi/1Qmj8fLZ7mlHYIrB/zt6+1MGxgjAixCl9U2O7j9g43twZUD9lQ3898fd/GHU7L586db+G5LBZdPThftmQWhFzW0Onhmya4OwRUAjxf+8NFmFt8+g69vncH2CiuFNS0MTTSRFWsI+0LugiAIPUkUAwiyFbtqiNKrSOmpNpIb3gKtGVIn9cjhG+wNrCr7lWxLNia1MSjHHBnrYF2FlhZn37wxrh0wC01TBVF7l4d6KADMSZ9Dgj6Bh1c/jMfrOfIOQq9TKeWkRuk5Y2QSV0/PZHxGVK8HVwB2VDR1yKIBGJ8RxS+7qgPu8/qv+6hudrT/vbrZzmsrCwNu/9G60BeBFvqu1XtrcXn8Tx/9Oq+ckSmRALz8SwE1zfZeHJkgCHUtDr7cXO53ndvj5ZddNSRbdJw8NJ5rZgxg2sAYEVwRBKHfEwGWIFu2o5qcZHPPPGWr3gH7Vkq1VxTBTz7y4mVxwXeolVqGxwwP2nFHxdlxeWBlSd+86NojU2iOHUzihnchDAIaSrmSy4ddzqbqTXy88+NQD0cIY/WtDp9lEWpFp90dGm1OvN6DX3g9Xm+n21c12TtsLwjHoq7F93f0AKfb257Z0mhz4g79x68g9Ctuj7e9NbM/tc2Bz19BEIT+SgRYgqiswcaOyiZGp0b2wNG9sOYlMCZC4ugeOD5sqFhPobWIifHjUcqDF8AxazxkRTr5YZ8+aMfsbbWDTkZfV4ClYGWohwJAdlQ2M5Jn8Pj6x6loqQj1cIQwNTzZd6ri9vImxqdHBdxnalY0EZqD579Bo2TawOiA258xIlFM2xCOSZW1jaLaVioabEweEPh3KyvWgN0lFYuePjAGo1bMahaEntTc5qKkvpXiulasNicapZzs+MDZzJ1dGwRBEPorEWAJoh+3V6KQyxi1P6U5qAqWQ/V2qfaKPPj/bGXN5SwpWcbgqMEkRCQG/fhj4+3kVWuoaOmbbfts0QNojh1M8prXwOPbHSYU5mfPRyVX8ZdVfxEZBIJf8SYtJw/t2Ga9tMGGWackK9bgs71SLuPeuUM61FQxalXcdWq233a56dF6RqdFBn3cwvGpodXBl5vKOO+5X5n576Wc8t/lGLVKJqRb/G7/p9OH8NyyvWiUcm4/eVCHwJ8gCMG1t7qZOz7MZea/ljLjX0u5+d0NAPz59CH4i6GPTo0kuaemwwuCIPRhIsASRN/mVZCTaAr+TaDTBmtfgbhhEDMwuMcGrHYrn+z+hChNFGNiRwf9+AAjYu1oFR4WF/TdLJaaIXPRNRQRs+P7UA8FgAhVBFflXMWK0hV8tPOjUA9HCENREWr+ce4I7jh5ECad9Lk0KM7A4Hgjfz07hwvHpaBRSpeBcekWnrtsrN9AyoCYCD69aRqTMqXMF41SzoIJqbx7zSQSzeIGWzgyt9vDt1squPW9XErqbQBYbS4ufmkVj54/kmumZ2LYf+0clmji9YUTKKlvxe5y89nN08iIjgjl8AXhuFZc18r5z/3KD9uqOFAS6ZddNcz97y8MiNXz1u8mkpNkAqRppr+blsFTC8aQFiXOS0EQhMPJvP3w0bfVasVsNtPY2IjJZArKMaub7Ez6x4/8bnoms4fEB+WY7da+DPlfwfQ7QOf/SV9XtThbeDf/XexuB6ekzUGr7Lk6KZ/tiiC/Vs2bZ1ai6qOhvcQN76CvKyDv4tdxa3wzAELhzW1v8mvZr7x/xvsMsgwK9XC6pSfOTUH6clvVbMft9qJXK1i/r56b3t3A3JwE5gyLRyGXs6PSyntrihkYG8Hzl4/DrPPtUtbQ6qDZ7kIukxEVoUar6psZacKx6+65WdZg47T//uK3no9SDivuPQm7y4Pb40WjlKNRKmhzuTFqlX5/FwVBOKg756fH4+X5n/fwr8U7/K6/cko6950xjEprGw6XB7kM4kwaIjSie5wgCII/It82SL7YVIZcJmNSRpDno1bvgG2fw6BTgh5cqW9r4KOdH2J32ZmddlKPBlcAJie1sapMx4oSHSem2Xr0tXpK9dAzyFz6b5LXvkbR9FtDPRwALs6+mN31u7lj2R28f8b7GNThEfgRwodCIe+QafLD9kqcbi9fbi736RBR22yn1e7GX2JKpF5NpF582RWOnbXNGbBYsssDm0oaOTUnoZdHJQhCs93FkvyqgOuX76rhVpuT1Ki+m4EsCILQm/poHkF48Xq9fLC2iLHpFgzBLMLnaoMVj4MpCTKmB++4QH5dPm9sfR23x83s9NkYgtSSuTMJEW4GWxx8vCOCvpo35dJFUpN9KnFbvsBQnhfq4QCgVqi5afRNVLVWce8v9+IOkxoxQvhKMAWe1mPRq5GLorVCkGkUnd9umHXiabgghIJaKWUkBmLRq1ApxTVBEAThaIkASxCsKahjZ2Uzs4fEHXnjY/Hbi9BcCSMuBHlwUvErWir4aMdHfL77C+L08czJOAWDqvcyHk5ItbGnQc3aCk2vvWaw1Q+Yji0qnQE/PYrC3hzq4QCQEJHADSNvYEXJCv659p+i6K3QqXmjAheyXjgtgxhj3z0/hfBkiVAzeYD/7lVmnYo08XRcEEJCq1Jy9YzMgOuvPyFLTNMTBEE4BiLAEgQvLN9LikXHCD8tUbts53ewazEMPQsMXQ/ceLweqlqrWFOxlje3vskbW9+kxlbNjOTpTE+ehlreu08NsyKdZJqdvJ5nai+k1ufI5JSPWYDSbiVz6T/B6wn1iAAYETuCy4Zdxnv57/F07tMiyCIElBip45/nj/DpDDE1K4oLx6eikIunlUJwRerV/PP8kaQc1nVEp1Lw6lUTiDf17BRVQRACGxxn5IYTBvgsv3BcCuMCdPkSBEEQ/BM1WLppY3EDS/KruGlWFrJgpdWXrofVz0LaZEgZf8TNXR4XjfZGGu2NWB1WrI4mGuwN1LfVUWurxelxoZArSNDHMz15GimGlOCN9RjJZHBaZgvPboxkcYGe0wa0hmQc3eXUR1M2ZgEpa14jZfVLlEy5PtRDAmBW6iza3G28lPcSNpeNuyfcjVwm4qhCRwaNkjNHJjExM5rlO6tpaHUwY3AsaRa9yF4Rekx6dAQf3zCV/AoruUX1ZMYYGJduIdGsFUE9QQghS4SaG2Zlcd7YFJbmV+HyeDlpSBwJJi2WTqYPCYIgCL5EgKUbPB4vf/lyK2lROqZlxQTnoGW5sORhiB4MQ+b5rG5xtlLeXEpZSwVVLZVU22poclg5kKsgl4FOqSdCFYFBZSAxJhGLNooYXTQKWXh0/Eg3uxgX38bLm02MT2gjVh8eGSDHqiV+GFU5Z5G46SM8Si1l46/AJyUgBOZmzEUlV/HO9ncobS7lH9P/IQrfCj4iNEoyNUoyY0SbTaH3JJi1JJi1zMoO8pRaQRC6JVKnJlKnZnB8z9fkEwRBOJ6JAEs3vLxiL7lFDTxw5jDkwXj6tvtHWPUMRA2A0QtALsfubmNfYxH7rIUUNhVRZ6sDQKfUYtFaSDYkYVIPwag2EKE2oFPoQpadcizOzGphd4OKR1dbeOSEWtThEfs5ZvUDZiDzOEle/xaq1lqKpt+CVxH6pz2z02YTrY3mpbyXuODLC/jbtL8xPuHI2VCCIAiCIAiCIAhC18i8/bBQg9VqxWw209jYiMlk6tIxluRXcu0b6zltRAKXTkrv3oDsVlj7Euxegjd5PGUZEym0FlHQWEB5SzkerxeT2kCcPoE4fSwx+hgilH3/qXNho5KXNpmZlNTGHyfXo+rDM1nMRWuIz/uENks6BSfeRWvMoFAPCYCq1ipeznuZ3Q27OSPzDG4efTOpptRQDyugYJybgiAEnzg3BSF8ifNTEAQhfIgAyzFeiKSWzMX83+dbGJUSye0nD+763PG2Rtw7voGti8DtIjcqmRXYsLsdqBQqEvTxJEQkkGhIPC4CKv5srVHz7jYj2dEO7p7YQEJE320xrGkoIXHTB2isFdQOOomKUfOxxWSFelh4vB5WlK7gs92fYXVYOTH1RM4bdB5TEqegUoRXa1RxkygI4Umcm4IQvsT5KQiCED5EgOUoL0RNbU6W76zh1ZUFrN9Xz+whcVw1NQOl4shpF148NDuaqW+uoLU6H3f1VozVu0i2VuH1etms1fCbXo8uIp44fRwJ+niitdF9YqpPMBQ0Knl/u5EWp5xTM1s5Kb2VbIuTo3hrw4/HTeS+1UTvWYrK1kCrJYOGjCk0JwynNSYLpz46ZHVa7G47K0tXsqx4GSXNJeiUOiYkTGBM3BiGRA0h05xJvD4epTx0MwfFTaIghCdxbgpC+BLnpyAIQvjolwGWxsZGIiMjKS4u7vRC9PrqEh5fUuCzfEC0jpxEI03OJjZUb6DV5dsJZ4TdQabT2ek4XMioVSrxKlQoZQqgfwRU/HF4Vay25fhdd3nkYs42/drLI+oeuddDWlM1MW3WI267Jn4wHw8+AW8vBV68eClrKWNL3Ra8HP3pf1bGWdw9+ui6EhmNxi4FCI/23BQEoWvEuSkI4amr5yaI81MQelp3zk+h/+mXAZaSkhJSU49chyL6jDsxDD+pwzKXtbr9/2VqGUqD/6f9MW43ygBvrQfw9uNgSmc8qdpJsQABAABJREFUyKghqsOyOfJf+avm2RCNKDgSvYE7JZXJ5Mw1xGIPWetsGaqoI08VctQ62PXHXXidR/7I6OpTtKM9NwVB6BpxbgpCeKqqqiI2NrZL+4rzUxB6lsgOE45FvwyweDweysrKuhWNtFqtpKamiqcFXSDeu67pS+9bV8+tYJybwdKX3u/u6C8/J/Sfn7Wzn/N4ODePVn/49xY/Y9934OdraGjAbDZ36RjHen4e7+/psRDvxUHivTjo8PeiL137hNDrl22a5XI5KSkpQTmWyWTq9x9CXSXeu645nt+3YJ6bwXI8v9+H6i8/J/SfnzWYP2c4nptHqz/8e4ufse/rzpe3rp6fx/t7eizEe3GQeC8OEu+F0BV9sYyoIAiCIAiCIAiCIAhCWBEBFkEQBEEQBEEQBEEQhG4SAZYu0mg0PPjgg2g0mlAPpc8R713XiPetd/WX97u//JzQf37W/vJzHkl/eB/Ez9j3heLnO97f02Mh3ouDxHtxkHgvhO7ol0VuBUEQBEEQBEEQBEEQgklksAiCIAiCIAiCIAiCIHSTCLAIgiAIgiAIgiAIgiB0kwiwCIIgCIIgCIIgCIIgdJMIsAiCIAiCIAiCIAiCIHSTCLAIgiAIgiAIgiAIgiB0kwiwCIIgCIIgCIIgCIIgdFPYBFgeeeQRZDIZt99+e8Btli1bhkwm8/mTn5/fewMVBEEQBEEQBEEQBEE4jDLUAwBYu3YtL774IiNHjjyq7Xfs2IHJZGr/e2xs7DG9ntfrpampCaPRiEwmO6Z9BUHoOeLcFITwJM5NQQhf4vwUBEEIHyHPYGlububSSy/lpZdewmKxHNU+cXFxJCQktP9RKBTH9JpNTU2YzWaampq6MmRBEHqIODcFITyJc1MQwpc4PwVBEMJHyAMsN998M2eccQYnn3zyUe8zZswYEhMTmT17NkuXLj3i9na7HavV2uGPIAihJ85NQQhP4twUhPAlzk9BEITwFdIAy/vvv8+GDRt45JFHjmr7xMREXnzxRRYtWsQnn3xCdnY2s2fPZvny5Z3u98gjj2A2m9v/pKamBmP4giB0kzg3BSE8iXNTEMKXOD8FQRDCl8zr9XpD8cLFxcWMHz+e77//nlGjRgEwa9YsRo8ezZNPPnnUx5k3bx4ymYwvvvgi4DZ2ux273d7+d6vVSmpqKo2NjR1quQiC0LvEuSkI4Umcm4IQvsT5KQiCEL5CVuR2/fr1VFVVMW7cuPZlbreb5cuX88wzz2C324+qtsrkyZN5++23O91Go9Gg0Wi6PWZBEIJLnJuCEJ7EuSkI4Uucn4IgCOErZAGW2bNnk5eX12HZwoULGTJkCPfee+9RF67Nzc0lMTGxJ4YoCIIgCIIgCIIgCIJwVEIWYDEajQwfPrzDsoiICKKjo9uX/+lPf6K0tJQ333wTgCeffJKMjAxycnJwOBy8/fbbLFq0iEWLFvX6+AWobmqjqM7GltJGEs1ahiWZSDBpUSpCXjtZEARB6OOsNgdVTQ7WFtShUMiYkBFFrEGNQasK9dAEQTiCFruLmmY7G/bV0+JwMyHDQpxRiyVCHeqhCYIg9KiQBViORnl5OUVFRe1/dzgc3HXXXZSWlqLT6cjJyeHrr7/m9NNPD+Eo+6eyBhvXvLGWbeUHWwJGqBW8dfUkRqaYRZBFEARB6LK6Fjv/W7qHV1YUtC+TyeCeU7K5ZHI6Zp0IsghCuGq2u/gmr5w/LtqM55BKj+eOSebPpw8h1qgN3eAEQRB6WMiK3IaS1WrFbDaLYmBd1GJ38adP8vhiU5nPOqNGyXe3zyDZog/ByIS+TpybghCeevvcXJJfye9eX+d33Sc3TWVsmqXHxyAIfUW4XTt3VFg59clf/K771wUjmT9edD0SBOH4JdIMhGNW2+Lg67xyv+ua7C52VTX38ogEQRCE40WjzcmzS/cEXP/qigLsTncvjkgQhGPxwdrigOueX7aHmiZ7wPWCIAh9nQiwCMfM7nTj9gROfKoSF05B6BMqWir4cs+XFDYWhnoogtDO4XJT0xz4OlLR2IbD7enFEQmCcLRcHg+lDbaA62ua7bg84vwVBOH4JQIswjEzaJXEGAIXKRuaYOzF0QiC0BW/lPzCvE/n8ecVf+acz8/hq71fhXpIggCAUatiUmZUwPUzBsWgVx1dp0FBEHqXUi7nxCFxAdePS7cQoQnrEpCCIAjdIgIswjGLN2q5Z+4Qv+smZkSRGKnr5REJgnAsSptLuXv53QyOGsyTs55kUuIkHvz1QQoaC468syD0MK1KwXUzs9AofW9RjBol545NRiEKqQtC2JoxMIZYg8ZnuUIu4w+nZGMUncAEQTiOiTsU4ZjJ5TLmDIvnPxeOIs4oXUA1SjmXTEzlvwtGE+PnoioIQvh4Yt0TqOVqrhtxHSaNicuHXY5Zbebp3KdDPTRBACAtSs9HN0xhRLK5fdmkTAsf3ziVlEhRRF0QwlmyRc+HN0xm1uBYZDJp2eB4A+9dO4mBcYbQDk4QBKGHiRw9oUssejXnjU1m2sBoWh1u1Eo5MQYNWpG2LQhhbXf9bhbvW8xVOVehV0lfVDUKDadnns6b295kn3Uf6ab0EI9S6O9USjkjUyJ543cTaLS5kMsgUqfCrA88PVUQhPCRGWPg6UvGUN/iwOXxYtKpxAM4QRD6BZHBInSZTCYjwaxjQKyBFIteBFcEoQ94e/vbWDQWpiZN7bB8atJU9Co9n+/+PEQjEwRfUREaMmMiSI+OEMEVQehjjFoVadERDIg1iOCKIAj9hgiwCIIgHO/cTvj2XryPpnH6Ly9wRux4lPKOCYwqhYoJ8RP4Ys8XeL2Bu4QJgiAIgiAIguCfCLAIgiAc777/P1j7MmVxg8myt3HD1p/A4/bZbELCBCpbK9letz0EgxQEQRAEQRCEvk0EWARBEI5nZRvht+dg3EI+MBn5OHkwprp9xG7/xmfTQZZBRKgiWFq8tPfHKQiCIAiCIAh9nAiwCIIgHM+WPQLmVJqzTmRb7TaMiWNpShpFwqYPfbJYlHIlOdE5rChdEaLBCoIgCIIgCELfJQIsgiAIx6u6vbBzMeScS17dVtxeD4Msg6nPnI7WWo6xfLPPLkOjhrKtdhtWhzUEAxYEQRAEQRCEvksEWARBEI5XG98FdQRknsDGqk0kRCRgVBuwWdJxREQTvWuJzy5Do4fi8XpYV7EuBAMWBEEQBEEQhL5LBFiETjW3OalotFFlbROdRQShL/F6YdP7kD4Vt0LJlpotZJkHSOtkMpoSRxFZ+Ct4PR12i9PHEaWNIrcqNwSDFgRwuz1UWtsob7Rhc7hCPRxBEICmNifljTaqmsT9oCAIQmeUR95E6I8cbjcF1a088cNOft1Tg1mv4uppmZw+IpE4kzbUwxME4UjKN0JjMUy6noLGAlpdrQw4EGABmuOGEr17CRHVO2mJG9Jh14GRA0WARQiJ8kYbH64t5t01RbQ5PZwyLJ6bThxIepQeuVwW6uEJQr/jcLnZW93Cf37Yweo9dVgi1Fw3cwCn5MQTZxT3g4IgCIcTGSyCX7sqm5n39Aq+21qBtc1FcZ2Nh77cxl0fb6Km2R7q4QmCcCTbvwKNCeKHs7VmKzqlloSIhPbVNksabpUOU7HvVKCBkQPZVrsNu1uc60LvqWhs43evr+WJH3dRabXTaHPy0foSznp6BUV1raEeniD0S9vLmzjz6RX8sK2KJruLorpW7v9sC3/+JI9acT8oCILgQwRYBB8NrQ7++uU2HG6Pz7rlO2vEja4g9AU7v4PksSBXsqV2K2nGNOSyQz7y5QpaozIxlm302TUrMgunx8mOuh29N16h39tY3MD28iaf5U12F88t202b0+1nL0EQekpdi4MHPt+Cy+M7JejH7VWUNdhCMCpBEITwJgIsgo9mu4vfCuoCrv9pe1UvjkYQhGPWVAGVWyB5PG1uOwXWAtJMaT6b2aIHYKzYhszt7LA8xZiCUi7VbRGE3uDyePg0tyTg+u+3VdLQ6ujFEQmC0Gx3sqmkMeD65btqenE0giAIfYMIsAg+ZDIZakXgXw2jRpTuEYSwtmep9N+kMeyu343b4ybN6BtgaY3KRO52oK/d02G5Sq4i1ZjK1tqtvTFaQUCODEMn1xadSoFcJmqwCEJvkstkKDqpfdTZOSsIgtBfiQCL4CNKr+Ks0UkB1588LL4XRyMIwjEr+BmiskBrZkf9DgyqCKJ1MT6b2U3JeORKIqryfdZlmDJEBovQa+RyGZdMSg+4/rLJ6UQbNL04IkEQLHo1c3MSAq6fMcj3uiIIgtDfiQCL4EOnVvL72YNIseh81v3ptCHEmcRNriCELa8X9i6DhJEA7KjfQbIhGX/PIL0KJXZzMobK7T7r0oxpFFoLaXO19ex4BWG/zJgILp3km2k1PMnEeWOTO32SLghC8EVolNx72hASzb7dgh6cN0x0lRQEQfBD5PYJfqVG6fnw+imsK6zn67xy4owaLp6YSqpFj0mrCvXwBEEIpL4AmsohYQQOj5PCxgJmppwQcHNbZKrfDJY0Uxoer4fdDbsZHjO8J0csCABERaj5wynZXDAuhfd+K6LJ7uL8cSmMSDIT7+cLniAIPS8tSs+iG6eyem8ti7dWkmjScNHENJItOjFFSBAEwQ/xydiPVDW1sbOymU/Wl6BWypk/IZWMaD1REf4zUpIidZw1WscZIxOQy2TIxPx3QQh/hSsBGcQPY5+1EKfHRYohOeDmdlMSloKVyB2teNT69uXJhmTkMjnb67aLAIvQa6Ii1ERFqBmdGkmjzcne6mb+tTgfpULOheNTyIyOEFOFBKEH1DbbKahp4aP1JbjcHi4Yl8LAOAOxRi1JkTrOG5vC2aOTUMhF8rsgCEJnRICln6i0tnH7+7ms2nuwO9D7a4uZPz6Fe+cO6fSGVVxMBaEPKVoFUZmgNrC7dDdquYo4fVzAzdvMKcjwoq/dQ3PiiPblaoWapIgk0apZCInqJjt3fbSpQ5eSD9YWc87oJO4/cxgxIsgiCEFT02Tn4a+28fmm/2fvvMOkrM4+fE/vdXtflrosvUhRAcXee8Feg+WzJrYkmpgYEzWJmoK9GzV2jb2BSJPeYWHZ3uv0PvP9MbDLMDPLArsLLOe+rr10znnL2WXOe877O895fnWdZe+vqmXG0FSeuHBs51YgMR8UCASCvSOelEcI321ujBFXdvHfFTWUNjoOQosEAkGfULkY0kcCsL1jO1n6bKSS5I96nyGDsFSOtmV7XF22PpvS9tI+a6pAkIyF21oSWsB+tKaOjXXJbWMFAsG+s7HOFiOu7OLHbS38tF1YMQsEAsG+IASWI4AWp4+XF1UkrX9lcQX+YLj/GiQQCPoGZ1M0B0t6MREibOvYTrY+uSMYAFIZfn0GmrbyuKocfQ7b27cTiUT6qMECQTxtLh8vL47/Pu7i5UUVePyhfmyRQDBw8fhDvLS4Imn9S4vKaXf5+69BAoFAcJgjBJYjgHAkgieQfDLq9AUJhcULlEBw2FP9c/S/6SNp8bTg8DvI1mXt9TSfIQNt64648lxDLo6Ag0Z3Y2+3VCBISjgMbl/yMcvlCxIMi0UBgaA3CIbDuH3BpPVuX4iQENkFAoGgxwiB5QjArFFw4siMpPXnjMtBo5T1Y4sEAkGfUPMz6FJBl8YOW1QwydpbBAvgM2ahaauASOxLa87O5Ljb2rf1elMFgmSYtApOGZWZtP6ssdnCvUQg6CX0Kjlnjk0+Tpw6KguTRrhHCgQCQU8RAssRgFIu45rphQkHyHyrlqOHpB6EVgkEgl6n+mdIHQ5AWccOLGozOrl2LyeBz5CJLOhF6WiKKU/VpKKUKjvFGoGgP1DIpFx6VD5WnTKuLsesYXZxhnC1Ewh6CYlEwuwRGeSYNXF1Vp2SS47KQyETrwsCgUDQU8QT8wghz6rl41uO5sKJuehVcsxaBTfOKOKtG6aSnWBQFQgEhxmhINSv6RRYdtjKyNLufXsQgN8QjXDTdFTFlEslUrL12UJgEfQ7eVYtH948nUsn52FQyTFpFFx3TCHv/EKMWQJBb5Nj0fDOL6Zy3THRxTiDSs6lk/P48Obp5Fn3LtILBAKBoItDJsb20Ucf5YEHHuD222/nySefTHrcggULuOuuu9i4cSPZ2dncc889zJ07t/8aepgikUgoTNXx8Dkl3HXSMCRISNErUMh6b2tQu8tPi9NHvc2LVack3agi3aDutesLBIJuaNoEAQ+kDSMYCVJlr+LYnBk9OjWgMROWKVG3V2LLPyqmLkuXxfaOeIchgeBAaXb4aHZ4aXH6yTSqSTUoseq67JcLUnQ8dFYJt58wFIiupivlYjurQNAX5Fq03HvKCG44tggAs1aJWhHtb3ZPgFaXj5o2DwaNggyjikyjWkSSCQQCQQIOCYFl+fLlPPfcc4wZM6bb48rLyznttNO44YYbeOONN1i0aBE333wzaWlpnH/++f3U2sMbjUKOxtT7/+wNNg/3vLcuxlZzUKqOF6+aRFGavtfvJxAI9qB2BUhkkDKEWkctgXCQbH3PIliQSPEZMtC0V8VVZeuz+ariKyKRiJhMC3qNylYXN762kq2Njs6yyYUWnrpkfEyEilohI9MkIlYEgv5AKY/vb80OL499uZX3VtWwK9dtmkHFS1dNpiTbiFQqxgWBQCDYnYO+RcjpdHLZZZfx/PPPY7FYuj32mWeeIT8/nyeffJLi4mKuv/56rr32Wp544ol+aq0gES5fkD9/sSVGXAEob3Fx1cs/02j3HqSWCQRHELUrwVIIcjXl9nKkEgnp2vQen+7XpaFpr4grz9Jl4Qw4afW29l5bBUc0LQ4fv3g9VlwBWF7Rzm8+2oDdEzhILRMIBLsTCoV5Z3k1767sElcgGn025/ml1Nk8B69xAoFAcIhy0AWWW265hdNPP50TTjhhr8cuWbKEk046Kabs5JNPZsWKFQQCySdkPp8Pu90e8yPoPVqcPj5dV5+wrrrNQ70YgAVJEH2zF6lZCSlDAKiwVZCqSUMh7bnzg1+fjrqjJq48a6fNc7mtvHfaKTgs6Mu+2eL0saXBkbDuh61NtDp9vXYvgWAg0l9jZ5PDx/MLEz/7Hb4g66o7+uS+AoFAcDhzUAWWt99+m1WrVvHoo4/26PiGhgYyMmLthjMyMggGg7S0tCQ5K5rfxWQydf7k5eUdULsFsXj8IULhSNL6BpuYLAsSI/pmL+FzQstWSB0GQLm9ggxtcmv2RPj1ach9DmReW0x5mjYNmUQmBJYjjL7sm20uf9K6SASc/lCv3UsgGIj019jpD4WxdRNRVtbs6pP7CgQCweHMQRNYqquruf3223njjTdQq3ueCHXPHACRnTGL3eUGuP/++7HZbJ0/1dXV+9doQUJ0KjkqefKvUp5V7J8XJEb0zV6ifi1EwpA6lEA4SK2zlkzdPgosujQANHtEscilctK16UJgOcLoy76ZZlAlrZNJJRjVh0R6OIHgkKW/xk6VXEaGMXl/HZVr6pP7CgQCweHMQRNYVq5cSVNTExMnTkQulyOXy1mwYAFPP/00crmcUCh+BSszM5OGhoaYsqamJuRyOSkpKUnvpVKpMBqNMT+C3iPNoOKq6YUJ68bkmsgwCichQWJE3+wl6laDXAXmAmocNYTCITK1mft0Cb8uFQB1R/xEPVOXSVlHWa80VXB40Jd9M0Wv4pghicfsCybmkqpP/kInEAj6b+zMMKq468RhCesyjWpGZBj65L4CgUBwOHPQBJbZs2ezfv161qxZ0/kzadIkLrvsMtasWYMsgX3wtGnT+Oabb2LKvv76ayZNmoRC0fNcA4LeRa2QccOxRVxzdCFKWddXatbwNOZdNlFMlgWCvqZuFVgHg1RGpaMCqURC2j4kuAWIyJX4NRZUttq4ukxtJhX2il5qrOBIx6pT8viFYzm5JINdwadyqYRLJ+dx94nD0KlEBItAcCggkUg4cWQG9586Aq2ya14+NtfEWzdOIcssIpQFAoFgTw7aLMZgMDBq1KiYMp1OR0pKSmf5/fffT21tLa+99hoAc+fO5Z///Cd33XUXN9xwA0uWLOHFF1/krbfe6vf2D1Rq2924fCHkMgkWrRKLTtmj89IMKu45eTjXHj0IuzeAViEjRa/CqBHCl0DQ59Sugszoc7PSXrUzwe2+P94DuhTUCQSWDF0GDRUN+EI+VLJ9E0zd/iB2T5AMo0rYPAs6yTJpeOLCsbQ6/bj9QUxaBaFQBJc/RJPdS3o3kY+RSIRGuw9PIIRSJiXNoEQpj1+UEQgEB45Vp+Kaows5fUwWNncAlUKKVafC2oP5YavTR4c7QCgSQa+Sx1iwCwQCwUDlkF4mqq+vp6qqqvPzoEGD+Pzzz7nzzjv517/+RXZ2Nk8//TTnn3/+QWzlwKDD7WN9rZ0//G8TpY1OZFIJJ43M4J6ThzMoTd+ja2iUcvKsh/RXSiAYeHjaob0cSs4DoMJWTro2bb8u5demorbFOwll6jKJEKHaXs0Qy5AeXcvmDvD7Tzfy0ZpawhEYlKrjz+eNZkpR8u2cgiMLg1qBQa2gvsPD099t44PVtfiCYfKtWn57xkimDrJi2EOkb3f5+WFrE3/5cguNdh8ahYzLp+Zz/bFFYjuqQNBHKOUyci1aci09P2d7k4M/fbaF+aVNhCNQkm3kwTNGMjLbiEEtFt8EAsHA5ZB6G54/f37M51deeSXumJkzZ7Jq1ar+adARRGmjiytf+pmdOYMJhSN8saGB9bU23rx+CgUpuoPbQIFAkJj6tdH/pg4hFAlR66xlRu7M/bpUQJ+KsW5N1Mplt2iTXflcKuwVPRJYWpw+Ln52CY12H5dNKSBNr+KLDfVc9sIyXrnmKI4Zmrpf7RMMPJodXm58fQXra7tsZqva3Nzw2gqev3ISJ47sStYcCoX5YkM9D3y4obPMEwjx/MJytjU6+dvF43q0qi4QCPqW8hYnc55fRpOjy0VyY52dy15Yxgc3T2dMrvngNU4gEAj6mINq0yw4NGi0e3jsyy2d4sru1LR7WFPd0e9tEggEPaRuNSi0YMyh3lVPIBwkYx/zr+zCr01FFvQi97THlBuUBrRybY/ysPiDYW58bQWtTj8Pn1XCaaOzmDzIygOnFzMqx8gt/1lFk8O7X+0TDDwqW90x4sru/OF/m2K+K40OH499tTXhsfNLm2myi++VQHAosGh7a4y4sotgOMLfvi6l1RlfJxAIBAMFIbAI8AbCrKpqT1r/07aWfmyNQCDYJ+pWQ8pgkEipske3VO5rgttdBHTR7TtqW11MuUQiIUOX0Xn97vjH99tYW2Pj7pOGxSRAlEul3DQrGv3y+0827Vf7BAOPlZXJx56qNjduX5ejoNMbpMMdSHr89iZnr7ZNIBDsO/5giIXbmpPWr6pqx+kL9mOLBAKBoH8RAosACZCiS564Mt0oXIAEgkOW2lWQMhSAKkcVFrUZ9T4mot2FX2sFQGWvi6tL16TvNYJlS4Odf/9QxnnjcxiSHm/faVQruHhyHp+tr2d9jW2/2igYWGSYkudNUcmlKGRdW9WUcind5UkW24MEgoOPUi4jzZB8DLLqlMhEwnOBQDCAEQKLgByzhium5Sesk0jgzLHZ/dwigUDQI1ytYKuGlGhkSLW9mnTN/kWvAETkKgJqIyp7fVzd3iJYIpEID328kUyTmrO6eWbMGJpGtlnDU9+V7nc7BQOHifkWVPLEU5ELJuaSou96UUvRKzlueOLvt0mjoCBV5AoTCA4FLp6ceE4JcPX0QnKt2n5sjUAgEPQvQmARIJNJOW9CLsfukXhSJpXwl/PHkGEQzgwCwSFJ3erof1OGECFClaNqv7cH7SKgTUGdIIIlQ5tBq7cVpz/xNowftjaxrLyNy6fmI5clH1pkUgmnj87iu81NVLa6DqitgsOfDKOKF66aFCeyjM01cevxQ1AruuyXDWoFvz+rhMFpsUKKTinjlWsmkylchASCQ4Iso4qHzhwZF3F2cklGTOJqgUAgGIgcUi5Cgr6htt2NBMi2JF8xyLVo+cv5Y2iwe1lS1opJI2dqUQppehUmbfKwa38whNMXRCWXoVOJr9O+4Av6cAfdqGVqNApNXL0n6MET9KCVa1HLxYuDIAF1q0FlAEMW7d52nAHXfie43UVAa0Vlq40rT9953SpHFSNTRsbUhcMRHvtyKyOzjIztgTvEMUNSeXt5Fa8vqeQ3Z4zc6/GCgYtSLmPKICvf3jWT1VXtNNp9TCiwkG/VkmZQEYlE6PAEkAB6lRydSsYb10/B6Q1Qb/OiVyvINKrIMGqQSSU4fQH8wTB6lRylXLbX+wsGDpFIBJvPhkQiwaQyJTzGE/TgDXrRyrWo5GL7874QCIVxeAMoZTL06tj5Xofbj9sf7LReTzWoOXtsNsePSKOqzUMwFCHXokGvksfk5hIcWjj9TgLhAAaFAbmsZ3N6f8iPK+BCJVOhVYjIJIEAhMAyoKlocfHtlkY+Xl2HVALnTchl1vC0pJbL2WYN2WYNE/Ite712IBimpt3NK4srWFbeRqZJzU0zBzM804C5G0FGAL6QjxpHDa9tfI0NrRvI1edy7ehrKTIVYVAacAfcVNoreWnDS5R1lDHUMpRrR11LnjEPrVwMXoLdqFsZ3R4kkVDtqAG6hJD9xa9NwdxaFleeoY2uOlY7quMElm82N7KlwcFDZ4xE0oO99Uq5lGOGpPLh6lruPXUEim4iXgQDH6VcRp5VS94e2wbqOzx8vamRxWXNXHN0EQtKm5m/tQmjWsElR+URicBrSyr5xczBSCVSypqdPLOgjGaHj6OHpHDF1EJyLZpuI6oEA4MGVwPfV33Px9s/RiaVcfHwi5mWPa3zeegMOKm0RcfVCnsFw63DuabkGvIMeWIBYy+EwxGq29289XMV87c2Y9UpmTtzMCXZRsKRCJWtbp77cQdVbW5GZBm54dhB5Fu1BCMR1tfaeXlRBd5AiDPGZHPW2KyD/esIEtDmbWNT6yZe2fAK7b52jsk5hguGXUCOPgepJPHzMxAKUOOs4c3Nb7K6aTWZ2kyuHX0tQ8xDkgqcAsGRghBYBiiVrS5ueG0F23ZzVVhbY6Mk28i/L5uQVGTpKZsb7Fz4zBJ8wTAAWxoczN/azC9PGsZV0wsxqBUHdP2BzPrm9dzw9Q0EI9Es+qXtpXxf/T2/mfobzhx0Jj/V/cQvF/ySCFHf7G0d2/ii/AueOu4pjs09FrlUdFvBTmpXwaAZAFQ7qtDI1RiUxgO6ZEBrReHpQBrwElZ0vXjolXp0Ch3VjuqY4yORCP/4bhsl2UZGZPX83jOHpfHFhgbmb20WIeOCOOptHi57YRkNdi/PXD6RuW+sjHEQWlbexmmjMxmbZ+Z/6+pRyiQ8v7C8s35Lg4O3fq7m/ZumU7wP30vB4UeDq4Hrv76eSntlZ9n6lvWMTR3L3477G2aVmfnV87l/4f2d9aXtpXy24zP+dfy/mJ4zPelLpADKmp2c++/FMc4/i8tauWpaASeNzOSyF5d1lm9pcPDp2jo+vfVoHvtqK/O3drkJbayz8+riCt6dOy1OTBUcPDp8Hfx7zb95Z+s7nWWl7aW8u/Vd3jjtDYrMRQnP29K2hau/vBp/2N95zo+1P3LXxLu4aNhF6JQiJ5bgyEWMKAOQUCjEVxsbY8SVXWyss7No+4HZLrc6fdz3/vpOcWV3/vpNKa1O/wFdfyDT7G7mN4t+0ymu7M5ffv4Lzd5mHlr8UKe4sosIEX67+Le0eIRltmAn9npwNnY6CFU7qknTpHGg3gwBbdSqWeloiKvL0MYnul1c1sqGOnu3iW0TUZCioyBFyydr4rcjCY5swuEI/1tXz44WF+eMy+HNZVUJ7Zk/X9/A0HQDs4enx4gru3D7Q/zmow20u8SYNFAJR8J8Uf5FjLiyi7Uta1ndtJp2bzsPL3k44bm/WfQbmt3JLYWPdOyeAA//b1NCW+VXl1TiDYZinL4ArFolpY3OGHFlFw12L68srsAfDMXVCQ4OTa6mGHFlF46AgydWPIHD74ira/W08uDiBzvFld15ctWTtPna+qStAsHhghBYBiD1Nh8fd/PS8v6qWuptnv2+vs0TYFO9PWFdJAJrqjv2+9oDnQ5fB7XOxP82gXCAFk8LzkDiJKI2n402rxi0BDupWxX9b+owgJ0JbtMO+LKBTqvmeCehNE1a3IvMcz/uoDBFy+icfQ8JnjoohW83N+ENiMm2oIs2t593V0QjpaYPSeG7zY1Jj11S1kKr25e0fmVlOzZPvDgjGBi0e9v5aPtHSevf3fouDr8DTzDxnKfV2yrG1W6weQIs3JZ8YWdlZTsjMmMjxKYUWfm2mz770epa2oToeciwsHZh0rqfan/C7ouf79t8NrZ3bE94TjgSZnPr5l5rn0BwOCIEloHIXpawJXs/5MBu35cXP8yR9OlfXnBEUbsKNFbQpuAP+WlyN5GmOXCBJag2EJbKUSWIYEnXplPl6Ipg2d7kYEFpM6eNzupR7pU9mVJkxRMIMX9r0wG1WTCw2KdvUg8OFmPSkUtPnkv78+w6kujuz5Psb9fdXzR6ivibHzYk+KfaW58Rc13BkY4QWAYguRYt547PSVp/wcRcMk37n8XdrFVQkp14T7tUQo9cRI5UTCoTuYbchHUKqYJUdSoGhSFhvVllxqq29mXzBIcTtSshNZrgttZVRzgSIU1zYAluAZBIo05CCSJY0rXptHhaOleDX1pUgUWrYFpRyn7dKsukId+q5ZtNQmARdGHRKrloUh4Ai7a3cEI3OXqmFaWSqkvuBjO50IJJI3KCDVQsagvnDjk3af2Fwy7EoDQkTRCfqknFotp7Yv8jFZNGwYyhyYX7iQVmtjTERjgs3dHabZ89d3wOKXrRJw8VZuTO6LbOpIyPTjUpTQw1D014jkwiY0TKiF5rn0BwOCIElgHKiSMzGJ4R/6I+KsfItMH79zK0C6tOxZ/PH4NaEf/1+eVJw0nVCxehZKRp0/jj0X9MmKj2gSkPkKZN4+GjH45T/6USKX84+g+9EqEgGABEItEIlp35V2oc1UiQkKZJ7ZXLBzQWVI74EO9djhw1jhpsngAfrKphdnHGAbm0TMg3892WRkLhyN4PFhwRSKUSTh+TxeA0PR+vqWPOUflYtPEvZGeMyWJro4OvNzUyd2Z8IkadUsbDZ48SznYDGKlEyimDTmGQcVBc3bi0cYxLH4dFbeF3038XVy+TyPjj0X88YOe1gYxRo+C3ZxRjUMXPWa6ZXohKLiUQin12d7gDDE3Xc/yI+L9rtknNVdMLUciEhfqhQro2nTkj5sSVG5VG7pp4F3qlPq7OqrHy8NEPo5LFi9t3TryTFPWBvWcIBIc7kkgkcsTNau12OyaTCZvNhtE4cN0FKlpcLCht5sPVtUgl0ciVo4ekHrCDEEAwFKa63cMbSytYuiNq0zx3xmCGZujFZHYv+EN+ap21vLHpDda1rCPXkMu1JdcyyDQIvVKPO+im2l7NyxtepsxWxlDzUK4edTV5+jw0iv2PPDocOFL65gHTWgb/mAAn/B5yJvKfLW+xsnElN4y+vlcun7HufVSORjZe9FxMuc1n4875d/LkcU9SUVXEo59v5h+Xjj+gPr+9ycFvP97If38xjaMGiQitQ5WD0TfrOzz8WNqEyxdm6mArX25s4LvNTRg1Ci6dnEcgFOHrTQ3cOGMwuWY15S1unv2xjCaHj2OGpHLplHzyLFpkUhGuPtBpcDWwoGYBH23/CJlExqUjLmVy5uRO8cTld1HlqOLlDS9Tbi9nhHUEV5VcRZ4+D5U8eQTU4UJf9s9wOEJNu5uP1tSyo9mFUi7lrLE5jMw2EA5HqGrz8PzCqE1zcaaB644tIs+iwR0IsaqynZcWVeDxhzhrXDanjc4ixzyw5zGHI+3edra0beHlDS/T4evg2JxjOXfoueToc5JuBwqGgtS4anh7y9usalzVadNcZCrCqBLzN8GRjRBYBvBLXIfbj8cXosUVTQCYoleiU8kxaaIvQ20uH3UdXhZtb0GnkjO1yEooHGH+1maMmmjYf5pBhS7BysUuAqEQTm8IlUKKVinsg/cFf8iPO+BGJVehkcdPOHxBH56gB41cMyAmgD3hSOmbB8zad+DDG+GSt0Bl4LHljxGOhDlnyDm9cnnr9u9J2T6fVdd+HLMBPxKJcPN3N3PruP/j1S8LyDCquH32sAO6VzgS4eY3V3HZlHzuOUWEFR+qHIy+Wdvups3lZ0FpM3KZlFnD0tCr5Zg1SpRyCS5fCJVcina3McrtC+ILhdGr5CgOILJKcHhi89mQIEn6gucNevEGvQNuXO3r/lnT7qam3cPP5a2kGdQcVWglw6hCr45Gltk9fly+ECaNorM/unxB2lx+qtrcBEJhci0arDol1m629AkOLq6Ai0AogF6pTxhpnYhAKIAr4EIlUw34RUCBoKeIN+IBSpvTz1Pfl/Lq4ljHj7kzi7hxxmBC4TC//WgjX27sSmQpkcCdJwyjweblPz9XIZXA4xeM5ZRRmUlFFoVMhkUnQj33B6VMiVKWfOVfJVcNqAmgoBepXQHGHFBFtwHWOGoZkza61y4f0FqRBdzIfA5C6q7JukQiIV2bzrIdbZS3pHL5lPwDvpdUImF0jokftjYJgUXQSU2bm79/W8r7q7pc1/78xRZ+MbOIK6cWkGPRopTHjz1alZzE2TYERwImVfduZmq5GrVc3U+tGRhUt7m5+c1VrK+1dZYpZBL+cel4jhmSil6twKhRYtzt3druDfDR6loe+mQjuy/jnlqSycPnlJBmEP8GhyI6hQ72MT2OQqbALDP3SXsEgsMVsbwzQFlb2xEnrgA8s2AHte1uvtnUGCOuQDStw9++KeW4Eemo5FLCEfjle2tpsHn7q9kCgaAn1CzvtGe2+W04Ao5ezc8T0Oy0anbG52FJ06SxaruWbLOG4qzeWSkdm2dmc72DJrt41giirKnuiBFXdvHsgh1UtLoPQosEgiMPpy/Av+dvjxFXAAKhCLf+ZzUNSZ7Zte0eHvw4VlwB+GJjA19vTG7hLBAIBAMBIbAMQBzeAM8uKEtaX97i4rkfdySt/25zI8cMjSbLjETg03V1vd5GgUCwnwS80LChU2CpdUZfQtO0vSiwaKOuGsoEiW5N8hyamrM4bnhar9mbjsmJrjov3NbSK9cTHN7UdXh4aVFF0vpXF1dgc/v7r0ECwRFKs93Ph6vjhU6AYDjC4rLWhHVv/1yV9JrPLdxBs0OI6QKBYOAiBJYBiD8YptWZfPIpk0pocyWvb3f7Mai6YgTrRQSLQHDo0LAOwgFILwaijj4KqRyzuvesRkNKPWGZApW9Ia6utbmISASOHtJ79zNqFAxK1bJouxBYBNExrG1n7rBEtLn8eAOhfmyRQHBkEgyH8QbCSeubHPH9NBgOJ41sAWh3+YVrnEAgGNAIgWUAYlDLmTEsuV2rXCphSlFyt44J+RY219s7P89OYLUnEAgOEtU/g0wJlkIgGsGSoklFSi86pUgkBLQpKJ1NMcWRSIRtlWlINZUEcfTe/YCSbBMLt7dwBOZdF+yBRadgSjeOUtMGp2DRCbc6gaCv0ShkDE6Lt+ndxdRB8Xa8cqmUE4szkp5z1CAretU+JvoQCASCwwghsAxAlHIZV0wtRKeMTwBoVMsZmWPirhOHI09gXZlhVFGYqmNrY/TlKd+qZXRu90njBAJBP1Lzc3R70M4M/9X2GtI0yQXV/SWgMaOy18eUlTcHabLJkeu30uRuSnLm/jE6x0Szw8e2JmevXldw+GHSKLnu2CLUivgpikmj4JzxOQkT3AoEgt4l16rlvlMTJx8fmWWkICVxSulpg1PJNMYnspVLJdx90nD0auGxIRAIBi77LbCEw2FKS0v56aef+PHHH2N+BAefPKuWD24+mmm7RaocOzSV92+aTo5JQ1GqjvfmTmP0ztwHMqmEU0Zl8OTF43j4003IpRLOHpfNf26YQpZJ2K4JBIcEkQhULYO06IQ3TIQ6Vx2pfSKwWFDtkYNlwSYverUEuaaWJndzr95veKYBuVTCYrFNSADkmdW8c+M0JhdGt6JJJDBjaCrv3DiVQqsYkwSC/mJ8nonnr5xIUaoOAJVcyoUTc3nm8onkWRMLLDkWDe/8YiqnjspEtnMxb3SOiffmTuu8jkAgEAxU9ktCXrp0KXPmzKGysjIunFsikRAKib3R+0ur00eb248vEMasVZBuUHW7Utdk99Lm8hOKRLBolSilUppdPiKRCKl6JfMum4jdFwAkmDUKjJpoWKZKKmNcvoVXr52MwxtEJpFg1irwBcP854YpyKQSrFol2iT2zEcawXCQZk8zHd4O5FI5FrWlT15qBYJu6agCZwOkRfOvtHia8YV8pPaig9AuAhoLhvp1nZ+DoQgLt3oZlaukSmqk2dO7AotKLmNohp7FZa1cffSgXr224ODiD4ZocvjocAdQyaVYdUpS9Mkt6Kvb3XS4A8ik8NcLx+IPhQEJBpWMDCH4H5E4/A7avG24A270Cj0pmhS0CmHI3ds02ry0uf1EIhEsOiUZBjWpBjXHDEnhxasn4Q2EUUgl6NUyMk3d//0LUnQ8ceFY2t3RnCsGtRyrLnm/Fwh8IR8tnhbsPjsqmQqL2oKlF/PLCQT9xX69Pc+dO5dJkybx2WefkZWV1WtOEkc6ZU1Obnt7NRvrovlPNAoZt58wlIsm5WHdY795IBhmfa2N295eTU27BwCrTsndJw1jdVUH762sIU2v4i8XjGFqkRWtMvE/tVWnihnw9NDtxPdIxOF38EPVD/xl+V+w+6P/NgXGAh6b8RjDLcORSUWouqCfqF4W/W96NIKl1rHTQagvBBatBbnfhdTvIqzUsb7Kj8MTYWyBAlujudcFFoCRWSa+3tRAKBzpXPUUHN60u/28v7KGv31TitsfXXwpzjLw9CXjGZphiDnWFwiyoc7OXf9dS+VOK2aTRsGvTy/muOFppBnitxwIBj4NrgYeWfoIC2oWECGCTCLjzMFnctv423rVPe1Ixh8Msaqqg7veWUPdTmODNL2KP58/mpFZRt5eXsVzP5bj2ZlcelSOkb9eOI7hmYbuLotOJUcnFuoEPaDd2857pe/x3Lrn8Iai38GRKSN57NjHKDAVHOTWCQT7xn5tEdq2bRt/+tOfKC4uxmw2YzKZYn4E+05dh4dLnl/aKa4AeAIh/vzFFr7fEp/roLbDw6XPL+0UVyDqrPDrDzdw4sgMrDolzU4f17+6nIoWd7/8DgOVTa2b+PWiX3eKKwCV9kqu+fIa6l313ZwpEPQyVUvAnA/q6HO2zlWHRq5Gr0yehHB/CWqiq0a7tgkt3OolzSAl0yTDrDLT5I63cD5QSrKNOLzBmCTbgsObH0ub+eNnmzvFFYDN9Q4ueW4ptR2xY1NNu5fLX/i5U1wBsHkC3PPeOrY2itw8RyLt3nYeWPgA82vmEyEaMR2KhPho+0f8c80/8QQ8e7mCoCdUt3m44sVlneIKEJ1DvraCmnYPL/5U0SmuAGyotXPlS8uoaHEdjOYKBhjhSJhvq77l6dVPd4orEJ1/X/f1dTS6en++IRD0JfslsEyZMoXt27f3dluOaDbW2WhOYHcH8Nevt9Kw26AXDkf4YFUtvmBi67zXllRw7vic6LER+Pf87bh9wd5v9BFAh7eDp1Y9lbDOHXTzQ9UP/dwiwRFN5ZLO7UEQtWhOUaf2pn9QJwFtVGBROhrxBSMsL/NTkqdEIpFgVptodjcDvev4MzhNj1ImZemO1l69ruDg0GT38vhXWxPWtbr8rKnqiCn7dF1dzEvc7jz5TSmN3Vi/CgYmrd5WljcuT1j3yfZPaPGInE0HSiAU4o2llQRC8c/zSASeX7iDM8dmxdU12n1sbhBiuODAaXY38+81/05Y1+huZFv7tn5ukUBwYPRYYFm3bl3nz//93/9x991388orr7By5cqYunXr1u39YoI41tXYktbV27w796BH8YVCrK5uT3p8aaOTXEvXPvVNdXZcfpEXZ3/whXxs70guJq5qWkU4kljoEgh6FVcrNG+GjFGdRTWO2j7LBRRUGQhL5aicjayp8OENRBiVG83hZFZZ8IZ8OPy9a9WslEsZmqEXAssAwR8Mx0RZ7sna3cY9byDIhtrk42BpkwNvEvFFMHBp7iaZdjASxBHo3WfQkYjHH47pi3tS2uggz5I430p3fVYg6Cm7cq8kY3Pb5n5sjUBw4PR4Y+S4ceOQSCQxSW2vvfbazv/fVSeS3O4fQ9OTh/hbdUoUsq41aqVMxtB0PQu3JX4Y5Vu1MdEwhak6NErhyL0/KKQKcvW5bOtIrJ6PsI5AKhF/W0E/ULUk+t+MEiAaJt/gbmCEdXjf3E8iJagxo3Q0srjKR6ZJRqohmm/IrDID0OxpxqA09uptR2QaRR6WAYJCJiXNoEoanTlstxwsaoWcwWl6vt2c2P4736pFKRPP2iMNq9qatE6CBJ1CONIcKGqFjCHpOlZVJV64y7dqaUrSh4emd5+DRSDoCUqZEqPSGLMVf3eKTEX93CKB4MDo8WylvLycHTt2UF5envBnV92OHTv6sr0DlgkFFgxJEoHdNHMw6bsl95NJJcyZUpD05WPOlHw+WFXb+fmW44agVyl6t8FHCFaNlVvG3ZKwTi6Vc8qgU/q5RYIjlspFoM8AfToAje4mguFgnzgI7SKgsYCthVXlfopzup4hZlU0B0xvWzUDjMwy4PAG2SJCzw970gwqbj1uSMI6rVLGlEGxL8/nTchBnmRcu3nWELLMwkHoSCNVk8owy7CEdbPyZnUrwAh6hlIu5ZqjB5HMr+KaYwbx8ZrauHKjWs7YXJF3UXDgpGpSubrk6oR1RqWR4pTihHUCwaFKjwWWgoKCzp/KykpycnJiygoKCsjJyaGysrIv2ztgyTZp+M+NU0k3dDn4SCRw2ZR8zh2fEyem5Fg0PH/FxBhRRimTcvvsoZQ1OWmwe1HJpTx63miGdRMdI9g7EzImcMu4W5BLuv7WRqWRZ054hixd/L5kgaBPKF8AGaM7P+5yEErV9p1deEBjZmWLDm8gwsjdBBaVTIVWoek2fH9/GZJuQC6T8HN5W69fW9C/SKUSTh+TxdXTC9l9CEvTq3jrhqlk7yGY5Jg1PHPFRIyarmetQibhjhOGMrFAWHUeiaRoUnjquKfiRJajMo/igSkPYFCKCIreoMCq5Z+XTkCn7HJFVMmlPHruaIam6ZldnB4jwGQYVbx27VFJtw4JBPuCXCrn3KHnct7Q85DsllUuQ5vBiye9KObagsMOSWT3PT89RCaTUV9fT3p6ekx5a2sr6enpPd4iNG/ePObNm0dFRQUAJSUlPPjgg5x66qkJj58/fz7HHXdcXPnmzZsZMWJEj9tvt9sxmUzYbDaMxt4Nbz8QIpEIjXYvTQ4fLl+QLJOGFL0Sgzpx9EkgGKbJ4aXB7iUQipBtVqOWyXDsTGirU8lQK2TYPAEAUvRKpBIJNncAiSS69Ugp795i2O4J4PIFkUggzaA+YkP23QE3bd426p31qOQq0jRppGnTkEuF/WBvcqj2zYOOuw0eK4Kj74AhswH4ePvHfFP1DbeOu7XPbpuy9Wse3zKE71UzuOVEA5LdZtivb3qDQaZBXDf6ul6/78OfbqQgRcszV0zq9WsL9o8D6ZtOb4AWp596mwetUk66UUWmUR3zfQoGw9TZPEQACdDi9OP2B8k2a1DLpUilEtQKGR5/CIlEQppeiUxsGTpiaPW00upppd3XTqomFavaikUtRLdd9MbY6Q+GaHb4qLd5CUciZJk1pOtVqBQy2pw+nL7gzkS4EYwaOSk6FVJptA/WtLkJRSIoZBKyzQcuurQ4fQSCYRRyKal61d5PEAwIHH4Hbd42Gl2N6BQ6UjWppGvTY8YKgeBwYL/eDnflWtmT1tZWdLqe74fNzc3lz3/+M0OGREOIX331Vc4++2xWr15NSUlJ0vO2bt0aM4CkpfVdiHx/IpFIyDRpyDT1LAxaIZeSY9GSs3MFobzFyd9+KOV/6+oJRyKcVJLJTTMH8/hXW2h2+HjwzBJeX1LBVxsbUcgkXDAxl+uOGdR5/u74AiG2Nzt57MutLClrxaRVcM30Qs6fmEuGUR13/EBHq9CiVWjJNeQe7KYIjkQqFgIRyNwtgsVZS0ofJbjdhV9j4Tv/aIbny+Ke+SaViWZP4nwZB8rwTCMLSpuSjjWCwwu9WoFeraAwNfH8oKbdzcdr6nh9SSWtLh8TCyzcfeJwUvQqnv5uG+0uP9ccPYiXF5ezpKwNo0bOldMKuXhy3hE5Hh2JpGhSSNGkHOxmDGiUclnMnHIX7S4fFa1uHv96Kysq2rBolVwxtYBzdkZXL9zWzDMLdlDT7mZYhoE7TxjGmFwT6fvRNzvcfpZXtPHEV6XsaHFSkKLj7hOHMbUoBYtO2Vu/quAQxaA0YFAaKDAWHOymCAQHxD4JLOeddx4QFQKuvvpqVKouVTkUCrFu3TqmT5/e4+udeeaZMZ8feeQR5s2bx9KlS7sVWNLT0zGbzfvS9AFPRauLS59bRsNuNpYfra5lwdYm3r5xKo12H9e88jN2TzS6xROAlxZV8M3mRt65cVpcqPbWRgfn/XsxwXA0wKnZ4eOxr7ayoLSZf86ZQJpBrCgIBP3Gjvlgyu3MvwJQ46wlS5fZp7ddH8inFRMlVg8Q+3JsVpvZ3LqpT+5bnGXgozW1lDU7GSKSKA5o6jo8PPDhen4s7UravnRHGxc/t4RXrz0Klz/IldMLueH1FZ02si1OP3/7ppQFW5uYd8XEmBxlAoGgd9na6OSyF5YR2jkfbHL4+Os3pchlEjrcAZ79sSv34sY6O9e/toJHzhnFhRNzUSq6j5LeHX8wxAera3n4065xZXuTk5veXMU9Jw/n2mMGod6H6wkEAsHBYp/ia00mEyaTiUgkgsFg6PxsMpnIzMzkxhtv5I033tivhoRCId5++21cLhfTpk3r9tjx48eTlZXF7Nmz+eGHH/brfgOJcDjMF+vrY8SVXbS7A7y3shaXL9gpruxOdZuHn7bHuhF1uP38/tNNneLK7iwrb6Oqzd17jRcIBHun7HvIHNP5MRgO0uRu7NMEtwA/2bPR46ZIFZ8Pxawy0eGzEQj7e/2+wzIMSCXR541gYNNg98aIK7sIR+BPn2/mzhOG8cLC8k5xZXdWVnWwo8nVH80UCI5Iatrc/OF/mzrFld0Znmnk+YWJjS0e+2ordbb4OWl3NDl8PP7l1oR1T323LakbmUAgEBxq7FMEy8svvwxAYWEhv/zlL/dpO1Ay1q9fz7Rp0/B6vej1ej788ENGjhyZ8NisrCyee+45Jk6ciM/n4/XXX2f27NnMnz+fGTNmJL2Hz+fD5+t6MNvtA8udotXlT2ptCfD9liZmDU/+IvbxmlrOHJONZmdyM6cvyMrKxHZ9AN9vbhIJBwW9wkDvm71C2w5or4Bxl3UWNbgbCEXCpPZxyPySFgtjpKWovQr2nNqaVdFnQIunhSxddq/eV62QUZSqY3l5G5dNEaHCB4P+6puLtseLK7vYXO9AKZeyZEdr0mO+3tTA1MFi64jgyKK/+qcnEGJjXfy1tUoZ7S4/CXQXAGyeAB1uP3tGPnZHm8uPJ5A4h6MvGKbZ6SPPKpLqCgSCQ5/9yhD30EMP9Yq4AjB8+HDWrFnD0qVLuemmm7jqqqvYtClx2Pnw4cO54YYbmDBhAtOmTePf//43p59+Ok888US393j00Udjom3y8vJ6pe2HCgqpNCbz+57oVbKEqw+7MKoVMclrpRIJKnnyr4ZJKxK7CnqHgd43e4Wy70Eqg8yxnUV1zjogam3YV7R7pZR1KBkjr0buiRdcd1k194WTEERXR5eKCJaDRn/1zWRJ3IGd45IETTfbAkya5OcLBAOV/uqfUqkkoXV6MBRBpej+FUKxj0mo93a8UiS1FggEhwk9flqNHz+eCRMm9OhnX1AqlQwZMoRJkybx6KOPMnbsWJ566qkenz916lS2bdvW7TH3338/Nput86e6unqf2nioY9YpuXxq8lXeOVPycXiSh/FfNb0Q5W6CilWn5PwJyZO5zi7O2L+GCgR7MND7Zq+w/VtIKwZl18pdrbMWvUKPRt6zhNj7w6rGaJ6lEdpWFO54gUWv1COTymjy9I3AMiLLQIPNS0272JJ4MOivvnnMkFSSmdOdWJxOo83DWeOSR0idOlrYdwqOPPqrf1q0Ck4dHZ/ryx8KE4kkFziHpusx6/ZN/LTqlORaEo9p6QaVcBMSCASHDT0WWM455xzOPvtszj77bE4++WTKyspQqVTMmjWLWbNmoVarKSsr4+STTz6gBkUikZiwx72xevVqsrK6n2CpVCqMRmPMz0CjJMfI6QkmmjOGpVKcZSQQhimDrHH1lx6Vx7AMfUyZWiHjluOHMCiB48PvzyohQyS4FfQSR0LfPCCCvmiC25xYu+JaZ22fbw9a1agiWx/EoJElFFikSDErTX0WwTIiI/pd+FlEsRwU+qtvpugU/PGcUXHluRYNd580nLveXcspJZkMTtPHHfPAacVkmkSCW8GRR3/1T6tOxV0nDiPPGi98RCIR/jlnfFxkiVEt528XjSVnH+2aM4xq/n3ZBLR7RGSrFVKeuXwiGUYx9xQIBIcHPd7r8dBDD3X+//XXX89tt93GH/7wh7hj9kVFf+CBBzj11FPJy8vD4XDw9ttvM3/+fL788ksgqtDX1tby2muvAfDkk09SWFhISUkJfr+fN954g/fff5/333+/x/c8HAiHIwTDkZiokt0JhMKEwxFUu4VN55i1/Ob0Yq6aXsAHq2oJhSOcPS6bHLOGn8tbiCDlkXNH0eEOUNrgQCqVMCrHRLZZg3UP6ztvIEimQcVbN0xlXU0HX25oIMOo4tzxuWSZ1ei7CenuEUE/yBPb7UUiEYKRIAqpIuFngeCIomIhBDyQGy+w5Oj7zjI8EokKLKNTfQTlBjRtFQmPM6lMNLn7xqpZr5aTb9Xyc3kb53UTUSc4vLHoVJwyKpPx+RY+Wl1Lo93LjKFpjM0zEwyHeOmqSTg8Qf592XjKW1x8tbGRNIOK88bnkGFSY1DFTmMikQiBUPLxU7CTcAiIgLRvt/wGwgHkEnmM3Xo4EiYUCYlx/TBhUKqe16+dQnmLk5p2DxqFjJIcI1adEqNawee3H8MXGxrY3uhkXL6ZWcPTKdhNkAmGwoT2mLMmoyTbxJd3zGD+1iZWVXUwJtfECSPSyTZrYr5DRxzdzJsPZbqbw4fCISJEkPfxM0ggOBjs17f63XffZcWKFXHll19+OZMmTeKll17q0XUaGxu54oorqK+vx2QyMWbMGL788ktOPPFEAOrr66mqquo83u/388tf/pLa2lo0Gg0lJSV89tlnnHbaafvzaxxy2D0BqtrcvPVzFU0OHyePzGD6kNROC+X6Dg+VbW7eXl6Fxx/i1FFZTMg3k58SjTQJR6LCzIxhqcilEjIMaipa3SzY1opUIiHHosGqVbJ4RysyqYRBqToika7cLJWtLlZUtPPVxgb0ajmXTs5nfJ6Zk0p6wQo25IeOalj/HtStguzxMPpCMOeBTIkn4KHeVc+H2z+kwl7BpIxJzMidwfyq+axqXsX07OnMyJ1Bjj7nwNsiEBwubP0S9Blg7toCGAgHaXI3MTZtbDcnHhg1DjntXhlDLAGCfgMKrw0iYZDEvrSa1RYanPV91o7hmQaWdpPgVDAwsOpUWHUqirOMOL0BqtpcvPRTOZdNzaem3cuHa2qRSyVcPiWf22cPZf6WJtpdflZXd1DW5OTiyXmk6JU02n28/XMVtR0ejh+RwcxhqeRYRFLMGJzN0LIVVrwcHZfHXwFZY8DQe5bvoXCIelc931Z+y8qmlQw2DebsIWdjVppp9DTy7tZ3afI0MTt/NlMyp5ClF9u8DnUiQG2HlwWlzaQZVAzJ0BMIRpBKJEgkEoamGxiapkcmlSCTSIggoa7DQ2Wrm3dWROesp4/OYlxe15w1ETKphHyrliunFXJl94aiA5+gHzqqYN070Lg+Gsk66jww5YPs0BYlXH4Xda46Ptj2ATXOGo7OPpoZuTPI1mfT6mmlrKOMd0vfJRwJc+7QcxluGU6atm9dEQWC/kQS2f0Nu4dkZmby6KOPcs0118SUv/zyy9x33300Njb2WgP7ArvdjslkwmazHTJbEhzeAP9ZVsWjX2yJKc8yqXnnF9NQyiQ89d023vo5NkJoaLqeF6+ahFQq4bcfbeCHrdFw/b9eOJZ3V1azdEdseP2MoamcMiqLBz5cD8DZY7P57ZkjcfmCXP3ycspbYi0vrz26kF/MKCLDdAC5HiIRqFoKr58d3fKwC7kKrvgIf+4kFtYs5K4FdxGOhDur9Qo9f5nxF/6w9A80uBowq8y8esqrFJmL9r8tgkOaQ7FvHjQiEfh7CWSNg6k3dRZXOap5aPFDXFZ8Gbl9JDh+ul3LvDUmfnd0K2Z7JWmbP6fsxN8S1JhjjlvesIKFtQt59sRngN5fXVxS1sLT329n+a9PIE1sTTyo9EffrO/w8MTXW3l/VS2f3XYMD368Mc7RbvaIdG6aNZgLnlnCtUcXAtDi9DOxwMJDn2yMOTZVr+TdudMYlBq/veiIxNkEn/8SNn0cW54/FS54BYy9I3Rsbt3M1V9ejTvYlT9JJpHxl2P/wttb32ZFY9cCXYY2g1dOeYVcg4hSOxD6sn+WNTuZ8/xSGu2x2/fvOXk4Z47NZNYTP8YYKWiVMj677Rj+9cN23ltZG3POiEwDz105kXxr7xhlDFjCIahcBG+cB6FAV7lcDVd9CnlHHby27QVv0Ms3ld/wwE8PxJSbVWZePvllXt7wMp/s+CSmbnLmZP5y7F+EyCIYMOxXDO0dd9zBTTfdxK233sobb7zBG2+8wa233sott9zCnXfe2dttPCJosvvixBWAepuX538s2xnZEr/9aluTk8/W17Oh1tYprgxN19Pu9seJKwA/bmshHIl07qf9eG0d9R1eXlxYHieuALy0qIJ6u/fAfjlHPbx3day4AtHP711Ds7OO+xbeFyOuADgDTp5e9TSXjrgUgA5fBw8vfRibz3Zg7REIDgfq14K9Fgpil/H6w0FobZOKfEMQlQyCqujLqSKRk5DaRCAc6LM+OTwz+qKwvELkYTkSKG918f6qWs4cm8WKivY4cQXguy1NNDl8jM018dKiCqYPSeX8iTn8/tONcce2OP08/OkmHN5AXN0RScO6eHEFogsg277ulVu0elq5b+F9MeIKQCgS4sHFDzKneE5MeaO7kadXPY07IJJZH4o02rw89uWWOHEF4LGvtuLyh9HIY9dpLVoFdR3eOHEFYEuDg/8ur8GfxI5ZsBNHA7x7Vay4AhD0wnvXRufVhygtnhYeXPRgXHmHr4NHlj1Chi7eKGN5w3KW1C3pj+YJBP3Cfgks9913H6+99hqrV6/mtttu47bbbmP16tW88sor3Hfffb3dxiOC77ckz2OQbdbw3oqapPU2T4A3lnZtpTqhOIP/rUv+8P1sXT0n7OYE1OL08cHq+IFwFx+vrkta1yNczdHBIhEBD1X2KryhxCLO1vatFBoLOz+vbFwpBBbBkcGW/4HKABmxCUBrnbUYFAbUsr6J6IhEYF2zkkHm6MQupDIAJLFqNgPQ3EdOQladkkyjmmVim9CAJxAK887y6CLCueNy+O+K5Pnc3llezVXTotvmlpa10uEKEE4Sizu/tJl2txBY8Lth2bPJ639+DlwtB3ybdm87O2w7Eta5g278IT9qWWxi4m8qv6HD13HA9xb0Pg5fkG83J5+fLtjazNOXxuYIu2JaAe+tTD5nfW9lDQ0HunA30HE2gjvJwoKtulf6al+xsXUjwUgwYd2KxhWUpJYkrHtzy5t0eDv6sGUCQf+x35v4LrroIi666KLebMsRjduf+GEEoJBKcXej9ksA7271Crkk5vOeeAMhFLtlfZdIwBdMfrzLf4ArDeHkvxtSOd5g9wNtKBJ7/2B31xMIBgKRCGz8EHKnxCWhrHfV9amDUI1Tht0vY5Ap+lIalikJydUJnYRMOwWWJncTQ8xD+6Q9wzMNLBNOQgOeSCSCNxCNYpTJuh/DPIEQ8p1JbL2BEKFudjpHIhAKh5PWHzFEQtGE2ckIuHcmvj0w9hyv98QX8kWTWu52WDASjItgFRwaRCKRmO0/e+LyB9GpY8colVy21/67z7kJjjT2jFzZk0N4HrzXOX2S54w36N3r80MgOFwQafYPEY4bnp60bkezgzPGJN8bLZNKOXNsdufnFRXtzByWfB/jzOFprNgt5F6rkHV7/GmjDzD5nS4NFEkSDQY8DLYMRpIkf0O6Nh1XoGvrUoGxAKPqCM/NIRj4NG2G1u1QMD2uqsZRg7UPBZYNzSokRCg0dk3gQmp9wi1CSqkCg0JPUx9ZNQMUZxnY2uDAJqIQBjRKuaxznFte3hYTZbknp47K5NtN0VxvRw2yYtEmd9cozjJgPFDnu4GAygBjLk5eX3IeaK0HfBuTykSKOvHzSSaRkaZJwxlwxpSPSxuHQWE44HsLeh+VQsa4PHPS+lnD0vjz55tiyj5bV89po5PPWWePSI9zrxTsgSEzmqcwESpjdF59iDI6dXTSukJjIS2exNE3pw46tTMqViA43OmxwGK1WmlpiXYKi8WC1WpN+iPYd3IsGmaPiBdZlDIpl00tpCTbxKiceGHBoJJz9rhsZg1P68yrsrislSlFKWQa1XHH51o0lGQbWVXVAcDgNB35KVp+edJwtMp4C72J+RaGpB1ggkB9Bpz8SOK6k/6IVZ3CNaOuSVh989ibeWvLWwBIJVJ+O/W3fZp7QiA4JNj4ASj1Ubet3fCHAzR7mknrwz6woUVJjiGIard99SGlHnmCCBaIvlD11RYhgBGZRiLAikoRxTLQGZtrojjLwL8XlHHehBzS9PEvGAUpWqYWpfDJ2nqmDLLS5g6wurqdMxMsQsikEv5w9ihSElzniGTw8WBNkCRelwYTrgTZgQtR6dp0fjP1Nwnrrhh5BV9XxuZ6kUvl3HfUfZjUpgO+t6D3ybdq+e0ZxShk8Ytgx49II0WvYnW1PaZ8RWU7I7OMlGTHz1mNajk3HzcYgxA9u0efDrMfSlx3yp+j8+pDlFRNKhcOuzCuXCqR8sCUB5hfPT+uLk2TxlmDz0Im3buVt0BwONDjLUJ///vfMRgMnf9/RPvR9wEpehWPnj+abzY28sJP5bS7/UwfnMIdJwyjMFWLUiZj3mUT+WBVDe+urMHtDzFrWBo3zRrMoBQdcrmUN66bwhtLq/hhayPP/1jGvMsn8L91dXyyph6JBM6bkMPJJZnc/8F6Mo1qLjkqj4sm5ZFp0mDRKvjw5qP51w/bWbitGb1aziWT8zl7XDa5B2pzKVdFV8csg+CHP0JrGaQMhuN+A9nj0avNXF1yNaNSR/Hs2mepd9VTbC3mxjE38lPtT9Q4ajg251huHX8rg4yDeucPLhAcqkQisOF9yJsa98LT4GogHIn0qci4sUXJYHNstEhQZUDlSOwOZ1abaXL3nXNcukFFik7JsvI2ZncT1SA4/MlP0fHcFZN4b2UNzy4o460bp/Lq4gq+3NCAVApnj83hgkm5/PF/m/jlScMYnmng2fk7uPqYQi6ZnMfMYWnMW7CDVpePSQUW7jpxOEVpwq2kE1NO1IFk5auw+vXoNoNR50ddyiwFez+/B0glUqZlT+P1U1/nH6v/wZa2LeToc5g7di4jrSNZWLuQNU1raPe1c1TGUdwy7hbyjHm9cm9B3zAoRcOHNx/NP77fRmmjE41CxkWTcjm+OB2DSsELV07iye9KqW7zMCLTwC9PHk66UcW8yyfwwapa3l1RgycQ4vjhacydNZhC4SC0dxQaGDcH0obDD49AWzmkDofZv4WM0b0ihvYVRpWRW8bfwsSMibyw/gWa3E2MTRvLreNvpchUROH0Qt4tfZePyz4mFA5xetHpzCmeQ7Y+e+8XFwgOE/bLpvlw51C3gm12+AiFwxjUCnSqWA0sFApT2+ElEolg0SkwarrCLL2BEE12L9ubnIQiEYak61HJpbS7oi9LKXolepUCpy+ARCIhVadEJosNYrK5/XR4AkiIRrtIpb28i8zdFs2CLlcnDEdu87QRCAfQKDQEAm5avR0EwwF0Ch0muQ5zD1V7d8BNs6eZSlslnqCHIZYhWFQWrBoRYXUoc6j3zX6hdhU8fxyc+Ie4CJYl9Ut5bt1z3D7h9j5JctvulXLpp5nMKbYzNt3fWW6oW4upejnbTn+UPe2Yf6pdxLqWtTx13NO93p5d/OP7bTh9QT659Zg+u4ege/qrb/qDIRrtPnY0O/EGwwxN1yOTSghHIli0Cmye6Na1UCjC1iYHaXoVuRYNmaZoBGeLw0cwHEGnkolV8mSEgtHk8xAdh+UqcLeDqwlatoPWAuZ8MGTDAcwB7D47nqAHpUyJRW3pLG/xtBAMB/EGvVTaK/GFfAwxR8doi6bruDZPGy2eFqod1aRp08jQZZChFSJrIvq6f3a4/TTafZQ1OzFrFBSm6sg0qpFKo+NBm8uPPxhGo5Bi2m3LXiAUpn7nnNWqV3b2SbsnQKvLx/YmF3qVjHyrlnSDGoVcZC6IwdkM7tbovFmhAW0K6Po3itsdcNPqbaXcVo5MIqPQWEiKJgW1PD5Kfk9aPa0Ew0F0Ch16ZVc0fDAUpM0XjUq1qCwodgpGTe6mzkTZZpWZHH0O2frsaN4mgeAwYr++sZdddhmzZs1i5syZDBs2rLfbdMSTZkj+4iSTSclPiY8ocXgDfLGhgd98uAF/KJosTi6VcNOswfiDYZ79cQdKmZTfn13CGWOykk48TVplzODY6+xlj7dVYyUSDrOtbTNzv/+/mK0H0zOn8IfpvyfdkNPtNew+O0vrl/KbRb/BE4wm9ZNKpMwZMYerSq4iU3eAOWUEgr5k/bugsUDmmLiqOmddnzoIbW6N9v0CY2wCvZDKgDQUQOZ3EVLGbhm0qM04/E68IQ9qmaZP2jUi08iriytw+YJxorNg4ODxB/lpeyu3vbUaz84kmVIJzJ05mOuPLcKsVeIJhLn7v2tZXNblLJVlUvPqNUcxLNNAajfjp2AnMjkYd9tS5WiAL+6FTR91lWmtMOfdqMi7n2H7RpUxYc40uVTOsvpl/G7x7zodBKUSKVeXXM2cEXPI0GXQ4Grg3h/vZVXTqs7zsnXZzDthHkXmBNucBH1Gk8PLw59uinGntGgVvHT1ZMbkmpFJJUlzqigSzFlbnD6e/LaUN5dVsWuJV6+S88zlEzhqkBWlXGwTAaJRK/+5EFq2dZVljoFL3owKoP2AzWfj/W3v8/SqpzsT0CqlSn43/Xccn388OkX30UgpSfLFyWVy0rWxaRHqnHX8Zflf+L7q+84ys8rMU8c9xeiU0SjkQjAXHD7sl1Ss1+v561//yogRI8jOzubSSy/lmWeeYcuWLb3dPkEPqWh1c8976zrFFYBgOMI/vt/OyGwjKTol/lCY+z9Yz45mVzdXOvg0Oqq58btb4vI6LG5Yxry1z+D12ZOcGaXB1cA9P97TKa4AhCNh3tj8BssblvdJmwWCXiEUjAoshTMSvtTUOmv71EFoc6sCkyqEWR3r6BFURUWVRHlYOq2a+zDR7cgsI6FIhJWVifPACAYGtR0efvH6ik5xBSAcgX/PL2PZjlY8/iB/+XJLjLgCUG/zcsVLy6i3deOSI0hMKAA/Px8rrkA02vT1c8BW2+u3bHA2cP/C+zvFFYiO0S9teIl1zetw+908tvyxGHEFoM5Vx03f3kSTK7ltsKB3CYTCvLm0KkZcAWh3B7jshWXUdex7n/tmUyNvLO0SVwCcviDXvLKcug5h3wyAswneuTxWXAFoWAcfzk1u4dzLbGnbwt9X/j3G3ccf9vPATw9Q7ajutfv4Aj7e3vJ2jLgC0OHr4ObvbqbOVddr9xII+oP9ElieffZZtmzZQl1dHX/7298wmUw89dRTlJSUkJWVPHO4oG/wBUK8sHBH0vp3V9Rw1riuvY3P/7gDT+DQtXirsFfQ6m1NWPdx+We0JslA3nlM2cdJrd5e3vAy9c76hHUCwUFnxw/R0P3BxyWsrnXWktKH+Ve2tCrJN8Q/G0I7V6ETOQmZ+kFgyTarMWsULCtP/FwQDAzeXVlDMkfYp7/fRpPDx//WJn5+N9p91LQJgWWfcTbCz88mrvM5oG5V4rr9JBAK8G7pu0SSGPW+tPElWr2tfFf1XcL6OlcdDe6GXm2TIDnNDh8vLypPWOf2h1hT3bFP12uye/nXD9sT1gVCEb7eJP5tAXC1QOOGxHWVi6L1fYzdZ+fZtUmeDcCbm94kEO4dd78GTwPvlr6bsM4VcLGuZV2v3Ecg6C8OaLOjwWDAYrFgsVgwm83I5XIyM8X2i/7GGwxT3eZOWl/X4SFF1xU2XdXuxhcIJz3+YFPvSK5UB8IBvMHkKxz+kJ8aR03ya7vqCYYPXXFJcISz5j9gLgDr4Lgqf8hPi6e5zxLchiKwrV1BnjGBwCJXEZEpUCSIYNEptCikij61apZIJAzPNLB0h3ASGqgEQmHKmpxJ62s7PARDEYLJFBig3i5Wv/eZkD8qpCSjLfnizf7gDXmpdSaPiql3RsfocCT5HKUvxVxBLIFQGLs3+ZypomXfIqJD4Ui3US/bunkGHFH4bN3X+/v+7+QP+6l3JV+QrHJU4Qv6euVegXAgzr59dyrtlb1yH4Ggv9gvgeXee+9l6tSppKam8pvf/Aa/38/9999PY2Mjq1ev7u02CvaCViljQoElaX1xlpHK1q5BcEK+OaEl86HCYOvQpHVGpRGtIrmrkVKmZExafO6KXQy3Du9RYi6BoN/xdMCW/0WtVBO4tDW4dzkI9c0WoSq7HG9ISp4hwYqUREJQZUgosEiQYFGbafb0bdh+cZaRtdUdePyJo9MEhzcKmZSpRcm/2yVZRtQKKbpuxq6iVOFOss/INWDsxr1jj0TbB4pOrmN06uik9SOsI1DJVahlycfpPINwHeov1HIZ2abk/xZj8vbNXlsll1KclTwJ79RBfbcF9rBC281CilQGGnPfN0GupSSlJGn9hIwJaOS9k3dNLVN3m8C6u2eGQHAosl8Cy+OPP055eTkPPfQQr732Gn/9618566yzMJvNvdw8QU9QyKRcNiUfVYLs6zKphAsn5Xbun1XKpFw5rfCQTiKWrctimDlx8uQbRl5Jmq77bWiz82djUBgS1t0y7hbStGkH3EaBoNfZ+AGEQ1CUfHsQ0GdbhLa2KZEQISfBFiGI5mFReBJHkJhVZhrdfSuwjMwyEgxHWF0l8rAMVE4uycSQJInxr04eQbpRxY0z46O7AMbmmsg0CvF8nzFkwvEPJq6zFEZtYnsRqVTKaUWnoZXHL5RIkDB37FxSNalcMfKKhOdPTJ/Ypzb1glgyTGp+dcqIhHW5Fg3DMxLPtZJh1au4/9TE17PqlEwtEk6PAOjSYMSZievGzgFdeuK6XkSr0HLjmBuRSuLfLdQyNecOORfZfibA3pNsXTZzx85NWJerz2WwOfFzXyA4VNkvgWX16tX8+te/5ueff2bGjBlkZmZy8cUXM2/ePDZv3tzbbRT0gFyzlrdumBqzgpdr0fDkxeN4dXElnkCIQak6/nPDFHKtfeP00VukGnL4x6y/MTPnGCQ7LWG1ci23jf4FZw0+C7m8e5eIXEMuL5z8AsMtXRPDNE0aj894nMEm8ZAWHKKseh1yJiR12qp11mFU9p2D0LY2BRm6EKok86VQkggWALPKQlMfCyw5Fg0GtZylO0QeloFKjlnDf+dOozir66Ut3aDiuSsmMjzTgEIm47Ip+dw+eygaRfSLKpXAySUZzLt8onAQ2h8kEhh2Mpz6GKh3i0YoPBau+Kj76Jb9JFeXy/MnPc9Qc1e0aoY2g7/P+juFpkKUMiWXFV/GDaNv6IxkkUqknFhwIn+e8WesGvES3p/MGpbGw2eXYNR0iZ9Ti6y8ef2UTnv0fWFsrpmnLhlHym7OQ2NyTbzzi6nkWJJHKB9RaMxw2uMw7jLYZVEsU8LkG+D434BK3+3pvUW+MZ9nT3iWbF3Xc2CQaRAvnfwS2freezZIpVKOzT2WuyfdHbNAOiljEv8+4d/kGnJ77V4CQX8giUQiyTc095C1a9fy5JNP8sYbbxAOhwmFDu0QbrvdjslkwmazYTQmD1XsCzz+IC1OP/5QGK1CRoZRjVTatR3A5QvS6vITCIXRqeSo5VJanNHPepWcPGv3g09thxubO0AkAiatAp1SRrPDj0QS/Zxu6McVvlAQnPXg94BCDfoM2Is4sjsOdwvtvg68QQ8GpRG9woDN30Eg5Eer0GJQp9DmaycQDqBT6OIs3+qd9dj9doLhIEalEbPSTLu/nXAkjFFpRC6V0+6LvjAalUYs4Ug0M7tEErXJ3eNFt8XdgiPgQC6VY1KZMCr797tzJHAw++ZBpWkL/HsKzLwPCo9JeMhTq57G5rNx0fAL+6QJ//dtKgZlmItHJN4HbaxdjaFuDdtPfSSubk3zGr6p/JZnT3wGmaTvbJT//k0pESK8O3d6n91DkJi+6Jv+YIgmhw9fIIxGIcUbDEME5HIJLl+IYDiCSaMgz6JBIpHQaPfi9AWRSyXIZRJc3iBKuYwUvRKDWlh49hh3G3jaIRKJvsjpUqNuQh3V0dwPanP0uHAA5GrQZ4I81obX5rNh89k6x9NdokeTuwlXwIVCqsCitnRr41rjqMHhdxCOhDEoDeQb82OuIZPIkElkOANOlDIlKaoUjOojaFzYB/p67PT5A9TafDi8QdQKKQaVgmzL/i/WhcMRGu1ebN4ACpkUi1aZ1Op5wOBpj/6Ew6AxRaNUduGoB58TZArQpoBqp8jgd4GzGQJOUOpBlwHKvf/dW+y1OIJO5BI5ZqUJg27vUV+ugIt2b+I5dZO7CbvPjkQiwawyJ7Vf3p12Tzvtvnb8YT8amYZsfTYKWffPaV/IR4OrAYffgUqmwqKykNrddimB4BBlv2fCq1evZv78+cyfP5+FCxdit9sZN24cxx2XOLxdAA02L099W8r7q2rxh8Kk6JTcfdJwThmViVWnpKbdzZ8+38xXGxsJhSPkmDXcccJQ1lZ38MayKvKtWn5zejETCyyk6GOFilA4wrZGB/d/uJ7VVR0AlGQb+dO5oxmZZUSRYPtQn+JshtVvwKK/g9cGCi1Mvg6m3RoNSe4BBm0qhp0P1np7FX/8+RG+rvqeYCRIujaduWPmUmGv4LVNr5Gty+beo+7lqMyj0Cujyn6WPosssohEIuyw7eD/5v8fKxtXAjDMMoz/G/9//GfLf1hSt4SR1pE8NPZmhn37J+RVSyF3MpzxJKQX4wn5Wd+ynj8u/SPl9mg2/enZ03lgygMUGAt6/28nOPJY8waojJA3Jekhtc5aCvvo+xYIQ7lNwWlFyRMWBlV6ZAEv0oCHsCJ2gmdSmQlHwrR52kjT9l3ocnGWkf/8XInHH0JzCOeREuydJruXF34q55M1dfz5/NG8s7yabY1OHjxzJPMWlLFkpxXzkHQ9fzx7FDIZ3PXftVS3eZBKYHZxOr89o4T8vSw6CHYjHIaWLfDpnVC9NFqWORpO/1v0Re7jm+GYO3c6C70A3o7o2D3pWpj+f2DI7BxP/7D0DzHj6aPHPEqlo5LHlj9Gg6sBmUTGCfkncNeku+JWuiORCOW2cv647I8sb1gOwBDzEB495lFqXbU89vNj1LnqkEqkzMydyUXDL+LhJQ8zK3cW14+5Pm4xRdC31LS5WV7RxmNfbaXe5kUmlXDyyAx+dcoIBu1n3iOpVEKWWUMWh3ZEda8QiUBLKfzvzqgDEED6SDjzSbAOgZpl8MW90FEFEimMOB1OegQsBaDUgbXnf2OPp4P1rRv44/LHuuarWVN5YPK9FFiGJD2vzlnH31b8jW+rviUUCZGpy+TeyfcyJWsKBqWBdG36PvW7akc189bM44uKLwiGg6SoU5g7di4zcmd0G/mikqnEvFowINivt26LxcJRRx3Fm2++ydChQ3nttddoa2tjxYoVPP74473dxgFBq9PH7W+v5q3l1fhD0ez4rS4/D3y4ns/X19Ng83Dliz/z+foGQjtdEmo7PPzqvXWMzTMzJF1PVZubG19fyeZ6e9z1a9rdnD9vcae4ArCxzs5Fzy6hqhuHoT4h4IWl8+C730XFFYCAGxb/A776TTSZ5z7QbK/h1h/u5PPKrwlGovkhmtxNPLz0YfIMeRRbi6lz1XH7D7eztnlt3Pm1zlqu/OLKzskgQGl7KXfOv5Mri69EI9ewqW0TV/54NzWzfx1dQahZDi+dDLYadth2cMM3N3QOVgCL6xZz1RdXCctnwYETCsDat6FoZvS7lwBfyEeLp4VUTd/kD6q0yQmGJeTok7tFBHdaNcsTbBOy7LRqbnQ39kn7djEy20ggFGGVyMNyWGP3BPjjZ5t57scd3HHiUB79fAtfbGjgvtNGcOc7azrFFYDtTU7mvLAUmyeI3RP9foYj8M2mJuY8v5R6m7Bm7jG2Knjx5C5xBaBhPbxyOkRC0W1BbeXw4xNRcQWiY/eSf8KX94OnI+F4GoqE2NC6gbvm30WDq6Gz7KvKr5j7zdy47YN1rjqu/PLKTnEFIBgOsrV9K3f8cAd1rqiTYDgS5ofqH3h02aPcNv423tr6Fr9f/Hs6drVN0C+sqengzv+upd4WdekKhSN8vqGB619dEWOgIEhCR1V0PrlLXAFo2gQf3xq1QX/r0ugxAJEwbP4UXjsb7MkdNZOxw1HBDd/fEjtfrV/KVV9fT70tsRNPk7uJud/M5avKrwhFojsQGlwN3Dn/TlY17rtNe42jhvt+vI9Pd3za6drZ6m3lkWWPsKB6AYFQ71g7CwSHMvslsLz++uu0trayYsUKnnjiCc4444yEIYk1NTWEw4euHXB/0mD3sqw8cYLIlxeVU9roZEcSu7tnFpQx56j8zs+PfbWV+t1s7oKhMO+uqMGVwF3DFwzz4k/leAP9uG3L2QBL/5m4bsO74G7Zp8tVO2oo7ShNWPfShpe4YNgFnZ8fX/E4rZ6uyXkkEuHriq+x++NFqWA4yPvb3ue0QacB0ZfYN6u+wl+8M7GY34m9aRNPrXoqoWVkq7eVpQ1L48oFgn1i+7fgaoYhJyY9pM5VT4S+cxDa1h5NcJvdjcAS2hmyrEyQ6NagNCKTyPrUqhmieaWMIg/LYU+L08cna+swauRoFDK2NjoYlWNkS72DVpc/7vhwBF5fUsn5E3JiymvaPWysjX+2CxIQDsG6/4Ivwd8r5I9axE+4Ala8lPj8jR8Q9tkTjqcXDL2AlzYkPq/cXs6Oji6r50gkwveV32Pbw4b2gmEX8PLGlxNeo8pRRSAcIE2Txo+1P9Li3bc5hGD/qWhx8fhXWxPWlTU7Kd9Hm+YjjkgENn0c3Rq0J+OvgG+SJJhuL4fGjft0K7urmadW/zP5fLVuScLzdnTsiBFkdueJFU/Qso9z9hZPC+ta1iWse3bds93atAsEA4X9EliSCSp7MnLkSCoqKvbnFgOOrQ2OpHUWrZJl5clfGMqaXWTs5o6wrsaGL9T1AHX5QywuS/4AXFbeitOX/MWp1/F0QNCXvH4fVfl1CaJSdlHvqse8c/UcoKyjDG/Q29WUoIfFdYuTnr++ZX1MdvLlbRtxZhR3fnZLIqxpXpP0/IU1CxMOZgJBj1nzJlgHg7Uo6SF1zmif6SsHobIOBem6EN3tugkpNESk8oSJbmUSKSaViSZP30awSCUSRmQZWVwmBJbDmYadK+H5Vi1b6qNj49B0A2trOpKes6a6g6EJHEt+2i5etnuE3wU7fkheX7sqqmTtNn7uiddrSziepmvTqbQnXh0HWNXUtQruC/lYVLco7pgsXRZlHWVJr7G5bXPn1oEqe1XS4wS9iy8YprI1eRT0igoRTdgtATeUfZe4zpwfjWRJRvnCfbqVO+hmTRJhA2Bh48+Ew/GLrbtHo+1Jhb0Cbyj5MyERm1qT/06t3lY8QRF1KBj49Glijl7Inztg6C65rNMXJMecfB+qXiXv3FYEkKpXxvzDKeUSMk3Jr59mUKGU9WMOFsVe9sTv7lTQAzJ1GUnrVDIVEbq+ZwaFIcY2TilTkqlLnvMlVZOKfbcVvTR1CsrdXiDl4VC3lpC5htyEFnYCQY9wtcLWL2Hw8d0eVuusxaQyoZL1TRLAbe0KsnV7EWElEoIqA3J3MqtmE02uvo1gASjJMrK2ugO3vx9FY0GvYtREt8LZPAHSdjr/2DwB0vTJk6CnGVTY3PGh5XmHuCveIYNcBcac5PX69KRbFHehVGgTjqeBcCCh7fIudncgUUgVZOmz4o7xhXwx7iF7kqpJ7Yycsagt3bZT0HsoZBK03Sjv2WZhjd4tMhUYkzjgBD1dCaUTYc5PXpcAuUTW/XxVk4E0ga1ydzlRdAodcum+pevM0Cafs8slclR95IQoEBxKiDfDfmJQmg6TJvHkZXCanumDU5OKIOdPzOXz9V25Pq6cVhAjyGgUcq4/Jvnq982zhnROaPsFXWryZJ3mguhEbh8YnTa206pxT04ddCrfVXWtDswpnhMzwMilcuYUz0l67XOHnstn5Z91fr6u8Az0Gz7o/JxqLuK6UdclPFeChLMHn93j30MgiGPjB0AYBs3s9rA6Ry0p6r7ZHhSKQIVNTpZ+79sIg2oDymQCi9pCUx/nYIFoottgOCJWTg9j0gwq8qwaqts85KdoUSuk/LSthdnFyceGiyfn8dGa2NBymVTC7BHJJ/OC3ZCrYOpNyevHXQa1KyF/WuJ6cz5yhS7hePp15decNfishKcppAomZU7q/CyTyrhk+CVxx31Z8SVnD0k8nsqlcoqtxZS2l5KqSY0RbAR9i1Wr4KJJeQnrVHIpUwb1zbg0YJDJYcqNies2vA9HXZ+4TiqHId0vvOxJqjGX64ovT1gnQZK0f03OnIxCmvgd4ZLhl+zz3GOweXBSsfSEghMwKfdtkVUgOBwRAks/kWVU89q1R2FUxyrBI7ON/Pr0YrLNal68ehKqPdx+phZZmVpk5bvN0ReX44ancf6EXGR7iDGD0/Xcf+oIJJKYYubOLGJUTj8/zLRWOPfZ+C0P+nSY8w4Y4levuiNDm8W8455GI49dqRybNpbj847nm8pvgKizz8XDL45T2/MMeTww5YG4SJNzhpyDL+ij2lENwA3DLmVE03ZwNEStmmf/Dkw5zMqbxZlFZ8acK5fI+dMxfyJLt2+/i0AQw5r/QPbEqFVqN9Q4a7tdmToQah1yfCFptwludxFSGVAkEVgsKjPNnmYi9O2WuVyLBpNGwRKRh+WwJcOo5sWrJpOmV/HsgjKeuGAsMqmELzY08OvTi5FJYweyCybmUGDVsmW3rbZKmZRnr5jYbfSmYA9ShsDJfyJuojD15mj0ysInYMav4sduXVp07DZmJhxPF1Qv4LSi05iSFbuwopKp+Nfsf8W5j2Trs3lw6oMx1/ip9idOKDiBo7OPjjlWKVXy++m/5/XNr2NSmZh3wjzhItSPmHUqrj1mEFMGWWPK1Qopz1w+kVT9ALdW7g0shXDaX6MOQTHlRTDh6vj8a3IVXPo2GPZdSJyVO4szC06JvZxEzp+mPUSWJnG/Sdem86/Z/4qLLJmSNYU5xXP2aq28J1naLP4x+x/oFfqY8mJrMbeNv40UrRDlBAMfSaQP9/EYDAbWrl1LUVHy6IqDgd1ux2QyYbPZepRLprcIhyPU2zyUNjmpa/cwMttIrkXbGSLtD4VotPvYWGujxelnbK4Jg1rB2up22twBJhZYyDKpkUulhMIRzFoFcpmU2nY3EcCgktPuDrCqqp1gOMLEAgtpelX/Rq/sjr0+mqiraQtYB0HqUDAlCZXcC8Ggj1Z3M02eFnwhL1ZNCkqZitKO7bR6WhmdOpp0XTpWdewkoN1eQzgSQqky0+63sa55Hf6QnzFpY9Ar9Nj80UR7FpUZjd+NoWIRSGWQe1RUENqZ2NPmtdHsaWZt81q0Ci2jU0eTqklFLReT+97kYPXNg0LLdvjnRJh5HxQek/Qwb8jHTd/exOmDTmNU6qheb8YPVRr+sszCg9Nb0Sm6Hw6Mtasx1K1h+6mPxNVtt5Xxfun7PDHzibh+2Ns8/d023IEgH9+S/O8m6F36om/WdXjY0ezE7g0wOE3PjmYXUgkUpurYVG/HGwgzMd+MWhENa5dJoLrDg0omI9OkJkWvRCkXdt09xt0GAU808WblT1EHs/wpoM+AoD/qHORqBW1K9P8b1kXFFmsRKPWg0IBSizvgxu6zU++q77R0NSqNBMNBGt2NbGjZQJomjeHW4cilcjRyDRIkeENetHIt/rAfb9BLOBJmdeNqvCEvY9PHkqpJJRQJ0eRqYn3LekwqE0WmIirtlajlaopMRWTqMpHsKRAJeq1/RiIR2lx+IoBVq0S6U+ysanPT7PCxprqdVL2KUTkm0nQKjFqx3aNH+J3R/IS2mqhjlzE3ul1eYwZXSzRXi9cWjVzRWEFjAfn+iVc2ZwP2kJdGVwNyqYIsbQYmlRG1Kvn3IhAK0ORuYkvbFtq8bYxKHUWGNgOrJjqWh8IhOnwdSCVSzCrzXvugL+Cj3l1Pma2MBlcDxdZi0rXp5Bqi7wCRSIR2XzuRSASL2iK22gsGHPu2sW4fEYNgLFKphByLlhxL4r3Kdk+QjbU23l9Zgy8UYUezkyunFXLG2BxkUglNdi8/lrbw0qJyJMDvziphc72Dt36uwhcMc+qoTC6cmMt5E/ZPxOh1jFnRn4LpB3wpe8DFZtt2Xlz/Im3eNqZmTeWKkVcwI3dGwv2hzfYqfqpdzFvbP8Ab9HJS7gzOHXYBZww+A4AaexWfl3/G/3Z8RpgwpxaeymmDTsUwPnF4pUltwqQ2McQy5IB/F4EAgPX/BaUOcid3e1jdzoz7fRXBUt4hx6wK7VVcgegWIVnAizTgJrxHrqVdVs1N7sY+F1hKso28vKgCpy+IXtWnw5igD8k2a8jebbvr8ExjzP/XtLv5YFUNn6ytRy6VcM64bIZlGnn6x23MmVLAlKIU0gxCYNkrziaoXAyLn44KJ0NPhqNujG7ZlUohFIw6mS2dF02Eq0uFo++E4adG7WM/vS363+wJMOOXOLUWfqz9kXe2vkMgHOCMQWdwxuAzyNZnY9VYGWQaRJW9ir+t/BubWjeRrc/mkuGXYFAaqHPV8V7pe7R725mePZ3LR15Ojj4nZhy3qq2MSBnR+VmMu/1Dg83DVxsbeevnKoLhCBdMyOWscdlYNHK8gRBfb6xDIZNR2+5BgoTx+WaMe0m5J9iJ1w7bvoHlL0Rdu0ZfBGMviQqX7jZY9gyUz4/mZDnqF9F5sznx1qy94STEh2Wf8G3lt6jlai4vvpxp2dPobjlQIVOQY8ghxxCfp6neWc9n5Z/xadmnyKVyLhx2IcflHUdGN/kR3SE3dc46Ptn+Cb6Qjx0dO7is+DL8IT/t3na+rfqW90vfJ0yYs4rO4rSi07rNlygQHG6ICJZDZJW83eXnkc82896qmphynVLGhzcfjVmn4K531nY6Jjxx4RjeWFrFmuqOmOOzTGreumEqham6/mp6n2Pz2fjXmn/x1pa3YsrVMjWvn/Y6I6wjYsqbbVXct/hBfm6KzYyeok7hjZNfJiKVcdsPt7O9Y3tMfYGxgHmz/02ecd8Siwl6j0Oxb/YJkQg8PT7qHnTMHd0eurB2IS9veIU7J96RdJ/0gfCbhVacfinXjN673a3S0UTm+vepmHknvj2i0YKRIH9f8XeuLLmKGbkzer2du1Nv83DXf9fy0tWTOF7k4OgX+rtvVrS6uOLFZVS3xTpOFGcZuGnmYG57ew2njc7kD2ePIqWb5LhHPK4W+Pwe2Ph+bLnKCNd/B2nDoGEDvHhidBV9d8ZfHo1uWfjXzqKmC1/k9vL32NAaayGbqcvk1VNeJUuXxZL6Jdz07U0xDntzx8yl1lnLpzs+jTlPI9fw5mlvMtQytHd+3yOUA+2f9TYP172ynE31sY6XxwxN4d6Ti7no2SV4ArF5us4bn8PdJw1Lumgo2Im9Ht7ZmeNod9JHwvkvwEunxNunjzwHTn5kn6O+axw1XP755bR6Y7fQTsmawp+P+TOp2n1bqKl31nPNV9fEWSsXW4v5x/H/SCiyOP1OXtrwEs+vfz6mXCFV8NLJL/HcuudYWBvrkJRnyOOlk18SIotgwNCnMVmbNm2ioKCgL28xYKi3eeLEFYhaMP/jh+2UNjg6xZV8qxZfIBwnrkSv4+XNZVV4A3tPWHm40OxpjhNXALwhL48sfQSb1xZTvq1je5y4AlF7uK+qvmFJ/dI4cQWg0l7J15XfEA4NnL+d4BClbnV0+9ygvQsRtc5azGpTn4grADs6FGT1IP8KQEgd3TKXKA+LXCLHqDLS6G7o1fYlItMY3R6yeLvIwzIQ8QdDfLS6Nk5cAdhc76DZ6WNoup7P1zdQ3Z7cQlZANPJkT3EFoi903/0OnI3wxT3x4grA6jeiEXa73MtSBrMWX5y4AtDgauCj7R/R5m3jwUUPxogrKpmKkSkj48QVAE/Qw2PLH8Phd8TVCfqPpTta48QVgKumFfLI55vixBWAD1bX0ury90fzDm9qV8SLKwBFM+Hb38eLKwCbPgJ73T7dxhf08fKGl+PEFYBl9csosyW3QU9EKBzi0x2fxokrELVN391+fXdava28sP6FuPJAOMAflv6Bo7KOiqurdlTzVcVXMc8NgeBwpsex1eedd16PL/rBB1EXlry8/QtvOxL5bnNT0rpgKMx7K7vElylFVr7t5vjP19dzxdR88lMGRhTLsvplSevWNK/BHrBj2mn9HA4G+KD886THe0J+fij7JGn9F+VfcHrByWQms9UTCHqDjR9EQ4Gzxu710FpnLSnqvtkeZPNJafPKyNqbRfNOQnI1YZkCpSuZVbOZJnffWzVLJBJGZhlZVNbS5/cS9D/1Ni//W1eftP7bTU0cPSSVbU1OPl/fwLg8YdublM3xokYnW7+AE34PlYuSH1OzIrrSXr8Gb+GxvF+3MOmhn+74lFMKT6FxDzexYZZhrGlek/S8pfVLsfvtGJTJbZoFfYfTG+Sd5dUJ67JMGpbuSPy8B/hhazNjcs191LIBQMALK19JXJc3Nbo1KBmbP4W8eDEiGR2+Dr6s+DJp/YfbPuSozKN6nL6hw9fBp2XJnx/vl77PzNyZaPfYLryueR0REm+OKG0vJUef2C7+4+0fc+bgM/t8i7FA0B/0WGAxmYStVl8il3X/wNvdVSESgSSOzkB0S7WEgZP/Ri7p/msa87tKJcilyf84kUgEmST5nn2ZRCZyBwn6lkgENn4YtUOV7j1/RI2jluKUEXs9bn8ot0X7Vk8smgGQSAiqjcg9SZyE1BYaXX0fwQIwKtvEvAVltLn8WHXCyWIgIQFk3TyHpVIIhaMTeLlUPK+7JUGOsk52JZaUSKLPpYTnS6NJOQFJJNxtMspkY2t4L+dJJdIBNWc53JBIIki76W/dfT26m4sKdpK0D0ZAIoNIkgWO7vpuAiQSSff9swfzjZjr0f31pNLE/ba7Ofau6ya8nngOCAYQPX40vvzyyz3+Eew7s7vJI6BRyLh4clc00E/bWjipJPk+xXPH55BpHjjuNonCCXcxLWsaJlWX+CeVyrmg6OykxxvlGs4fen7S+rOHnEVGgiRfAkGvUbcq6iTQjXPQLlxBNx2+DlL7KIKlwqZALo2Qoun5triQyoDClXhrjlll2RnB0mepvTopyY7mGVgq7JoHHDlmNedPSP4cPqUkiwWl0Uip08dk9VezDk9GnpW8ruS8qFvJ4NnJj8mZBE2bAFCV/cAlObOSHnr+0PMxq8ydTiG72Nq+lXFp45KeNyN3BkblAM65dYijUym4Ymri7fwVrS5mDE1Leu7xw4Vldrco1DD5+sR1OxbAiDOSn1vcTd9NgEVl4ezByee/5w89f58WEC1qCxcMuyBp/SXDL0Gj0MSVj0odlVSYGZU6irKOxFuVLhx+IRa1iEYUDAyE9nyIkGFS84sZ8cmArTol/zd7CEVpes4cG51INti9+AJhjh0a/9I1OE3HBRNyUQygZYVUTSq3jL0lrtyoNHLvUffGhRUPMuRzUt5xccfn6nM5qeBEJqaPZ2xa/NaMYmsxM3L6NjmnQMCmT6L2jBl7t1ze5SCU0lcOQjY5GdogewmgiyGoMqJ0JxY1rGoL/nDUJaCvSdGryDKpWSy2CQ04ZDIZJ4/KZERm/JaRyYUWVAopVW1uLp9aQLYpfoIv2A1jTtQxaE90aXDc/VHHoFMejQote3L0HbD9GwjvFGBt1Yz0+Tk6K94ZsMhUxKmDTsWqsfLoMY+ilHZFlQXDQZY1LOPKkVfGnWdWmbl74t3olfr9/Q0FvcDEAgtTi+K3Zry/opoHTivGrI3PAXbdMYMSlgv2IHMMDDkxvrxuFRz362hf3JNJ14Fh3xK+KmQKLiu+LOEWnFMKT6HQWLhP15NIJJxUcBLDzMPi6qZkTmF06uiE56VqUvnVpF/FlWvlWn479bdsadsSVzfCMoJZubP2qX0CwaHMfrsIvffee/z3v/+lqqoKvz82ydWqVYkTHx0qHKpOJe0uP6VNDl5cWE6ry88JxRmcOSaLXGt0f2OLw8emejvfb22CcISzx+fQaPfyxtIq/KEwZ43N5tihqRQMkNwru2Pz2dhh28HrG1+n2dPM0TlHc0bRGeTocxIq8q32aja1lfJT48+EIiFKTIOZlj2dTFN0labGXs3q5jV8tP0jwpEwZw0+i8kZE8kVDkIHlUO1b/YakQj8YwKkDIHpt+318B+q5/PG5te5c+JdyPcSdrs/3PZtKnplmItHOHt8jqF+HeaqZZSe/ih7avStnlZe2PAi906+h+HWvtnWtDsv/rSD7U1O5v8qXlAV9C4Ho2822r0sLG3mvVU1SCUSLpiYi04l56NVtVwxrYARWQasOuEgtFdcrdEolC2fQTgAGSVQfDboUqL1kQg4GmDtW1D6ZdQ56Jg7wDIoavG87m3wOUCfCWMvoVmhYmPrJpbULyEcCTM5YzJTs6diVEW/F4FQgFpnLe+Wvsva5rUUGAo4a8hZ+EN+QpEQH27/kDZPGzPzZnJq4akJrWEF+0Zv9M8mu5c1Ne1UtriRSCRkGzVMKLSQpldQ2Ra1cK7r8KCQSTh+RDqDUnXCQainOBqgbg207jRYMGRB/lQw5UBrWXTb8Lavo0LnUTdAWnG0bj+od9WzvH457b52iMBgy2CKrcWkaFL263qNrkZ+bviZD7Z9gEwi49LiSxmTOoY0bfLIJrvPTqW9kq8qvsIb8pKty+bEwhPJ1mXT5m1jTfMa3tnyDqFIiAuGXcCkjEnd2j4LBIcb+7bBbydPP/00v/71r7nqqqv4+OOPueaaaygrK2P58uXcckt8pEEy5s2bx7x586ioqACgpKSEBx98kFNPPTXpOQsWLOCuu+5i48aNZGdnc8899zB37tz9+TX6nGAoTL3Ny/KKNsqaXMwYlkqaQcXyijaqWj1MHmRhRKaBzJ0rcBadkimDUhibayIQiqBTypHG7C+PkGFUkaZX4fIFCYQilGQZuffk4QQjEdIMKuyeAP/8fhvhMMwuTifLrOl5fgJnE7TtgO3fRR/yQ0+KKuiqnStL7RXQvBXKf4y+IA46FtrKoXIJWAujjiiGbJBH71dvq2RTywY2tG5isHkwozMmUOOoZXnjcoqtIxhhHUF5Wylrm9cyKmUkI1NHkWVKHKZqUpkYnz6ekdaR+MN+AsEA7f52Xtn4Cq3eVqZlTaPAkEfu9oXQUY5yzMXkGvPIdJTjCrgpShmBlzAvb3gZT9DDzNyZzMqdxTFZ04AIlj0GijZvG3XOOn6s+RGtXMtx+cfR7m1nUe0idAodM/NmkqpJ7XFSvkZXI9vat7GyaSXDLMMoSSmhrKOMdS3rKDIVMSF9Ahm6DOT7uOdWcJjRvCXax8Zf0aPDa521WNXWPhFXwhGosss5viDeqaU7gmoTklAQmcdBSBObm8usNiNFQoO7sV8EllHZJr7d3ERdh4dss4hkOByot3nYVGdnVWUHhalaphalYNUqaHH5WbitBZNazqA0PQtKm3F4A8wekcHjF4xBLpXi9AYpa3Fy8VF55Fg0qOW93y8OSxz10bG5fgMUHh11KKtbHbVgzpsWHceN2WApAGNu1Pp15UuQPQEUWij7LjrODz8NJlxJQ9jPpvYtrN/yOoOMgxg6/mJWN64iW5fBCG8b2pYmcs3ZpGlS8YZ8pOnSWNu8lk0tm5iVPwur2kqhqZA7J9yJI+DAE/BQ5ajCHXCTrknn/sn3o1Pq0Mq1yKQyGlwNNLgaWFC9AIVMwXF5x+EL+djUuoljco4hVZ1Ku7+d1U2rKesoY1TKKEpSS3pk6droamRr+1ZWN62mwFDApMxJZGozkcvEWLsnkUiEbJOWDbV2gqEIkwos0bx1MhkyqYSSbAM2j590o5pMkxqNQkYoHKHe5mFFRTvbGp2MzTMxKsc0sJ/H9vroWF6+EMz5UTcgQ1Y0Z4q9Fip+ioomeUdB5uioUBIh+t+61RD0Qd5kOrfSSmRQNAusg6Nbikz5IFUQjoRpcDWwtmktpR2ljLSOZFTqKLL0WeBzRvt96VfgtcHQE6KCqD6dUChEtj6bso4ytAot6Zp0/KHu3Z48AQ/NnmYW1S6i2dPMtKxpFJoKSdOmEQwHGWYexpwRc5BIJOQb8gnuzBvT6GqktL2UVU2ryDfkMzlzMhna6FzWoDSQa8ilzllHkbkICRJkUhlp2jROLDiRo7OPJhwJi+g1wYBkvyJYRowYwUMPPcSll16KwWBg7dq1FBUV8eCDD9LW1sY///nPHl3n008/RSaTMWTIEABeffVVHn/8cVavXk1JSUnc8eXl5YwaNYobbriBX/ziFyxatIibb76Zt956i/PPT55XY0/6YyUuFI6wtrqDy15YhicQYmKBhaunF/LLd9fiC3bZkOVaNPznhqnkW7tfBWhxeHlvZS1//jI2tG5aUQoPnjGSb7c0Utvu4e09MsFfMCGH+04rJlW/l1U+Rz28dy1ULo4tP+NJGH0BuJrhrUujg4rKABe+Cp//MvqyuAuZEua8CwXT2WGv4Npvboyxi9MpdDx67KM8teopyjrKMCqN/PnYP/OnZX+ixllDijqFl058jiJrfDji7rS6W/mp7iceXBxrBVlsLeZvM5/AWL2CDwJN/HXtv2LOm5o1lXOGnMN9C+8D4KSCk7h/yv2k7rH9osXTwp+W/YlvKr8B4LEZj/Fe6Xv83PBzzHH3TL6Hc4acs1eRpcZRww1f30CNswaLysKjxz7KQ4sfinFa0Mg1PH/i84xKHbXPicgGEgM+gmXhX2HB43DJm13Wp93w55//AsA5Q5Lvq95f6pwyrv0ig2tH2xhuDfT4PIW7jaw171B1zC14rPHbGp9d9yzTsqZx4fCLerO5CXF4A/zi9ZU8fuFYLpgonL/6kt7omxUtLuY8v5Q6m7ez7MTidM6bmMut/1nNldMK0Chk/Ht+7B79WcPSuHxqAde/tqKzTCKBxy8Yy6mjMtGpjuCX5Y5qePP8aITJWf+AD+dGx+tdqIww57/w6W0w6jxwtcDyF+DcZ2Ddu1FxZRf6DMqveJdrF9xBi6dr651WruXPx/6Zp1c/zemDTscdcPL8hhdjmjErbxYzc2fy+yW/5/pR13PpiEuxaqysa17H3G/n4gl2CblpmjSeO/E5hliGUOes47Hlj/Fd1Xcx17tq5FVMypzE06ue5tdTf83N396MO9hlJZ2iTuHlU15mkGlQ0j9NtaOa6766jnpXlyOVSqbi2ROfZWza2AG1oHGg/bO+w8MzC8p4dUllTPkFE3L4v9lD+cXrK9nS0GXjLJNKeO6KCVh1Ki5/YRkuf1cerzSDirdvnMrgtAH44txRDa+f0xWJAiBTwCVvRbf6vHwKBHZbtDDlwpWfwqpXYdGTsdcaflp0e967V0eFl11IJHDBq2zOGMJ1X9+AI9D1d7eoLLx08osMqVwBH+2xuFx4LDXnP8PvFv+OZQ2x7pu3T7id0wpPI9uQHfcreQIeFtYu5Fc//ipuTv3XWX/lH6v+wRcVX8Scc3nx5cwZMYcbvrkhxsZZKVXy1mlv0eBp4I4f7iAQ7ppb5BnymDd7HgVJFlIFgoHEfiXqqKqqYvr06B5cjUaDwxHt/FdccQVvvfVWj69z5plnctpppzFs2DCGDRvGI488gl6vZ+nSpQmPf+aZZ8jPz+fJJ5+kuLiY66+/nmuvvZYnnnhif36NPqXR7uXaV5fjCUQHnRtnFHHv++tixBWAmnYPD328AYe3+xecOps3TlwBWLKjlR+2NjEh3xwnrgC8t6qWlZV7yYcQCsGq1+PFFYD/3RGdkP3wp6i4AjDuMvj52VhxBSDkh7cvpc1Zzz0/PRAjrgC4Ai7+sOQPXFNyDQB2v51Hf36Uq0ddDUCrt5V7fnqANmdye06Adn97nLgCsLltM69seo227LFx4gpErSCr7FWMSR0DwNeVX7O0Lv67tqh2Uae4Mj59PDtsO+LEFYDHlj9G/V7a6vA7eHTZo9Q4ozbbl4y4hHlr58XZWHqCHm75/haaPX1vcSs4iGz5HLLH9UhcAahz1pHWR/lXKu3Rl4tMXc8T3EI0BwuAIqlVs4UGd/84CRnUCgpTdSzeLvKwHOrY3H7ufX9djLgCMGdKAbe9tRqlTMq0opQ4cQVgfmkzm+rtjM3tipiKROBX762lwe6NO/6Iwe+G7/8YjV6ZejN882CsuALgs8P718KMX0LK0Ki4kj0B7HWx4grQNv0W7vv5TzHiCoA76Ob3S37PjWNuJM+YFyeuAMyvno8n6GGweTAvbHiBGmcNDc7oS9bu4gpAs6eZBxc/SIu7haX1S+PEFYBXN72KWqbmF2N+wd3z744RVyA6X7j3x3tp8yZ+Dtl9dh5e8nCMuALgC/m49btbae4HO/nDiW1NzjhxBWB0jpl/fr89RlyB6CKi3RvkhtdWxIgrAM0OH7e/vZo2l69P29zv+F3wzUOx4gpAKADvXBaNAg/sERHqc0DL1nhxBWDr59GI8eAef6dIhKaQi9vm3xEjrgC0+9r55Y+/otVvi7tccMKVfFXxVZy4AvDUqqdo8yXuK82e5jhxBaJz6pc3vJzQcvmNzW9Q7aiOS2brD/uJSCLcPf/uGHEFooLn4ysepy2JC6FAMJDYL4ElMzOT1tboy3NBQUGnIFJeXs5+pnQhFArx9ttv43K5mDZtWsJjlixZwkknnRRTdvLJJ7NixQoCgeQChc/nw263x/z0NbUdHjrc0TZZdUo63AHc/sQvMvNLm2l1dh++9+6KePFkF28uq8LmTmLzBjz34w5s7m6u72qCZc8kr3c2waaPuj4XHgPbvkl8bMBNu9/G1vatCaubPc3olfpOG7dqRzXpmq4s9Fvbt9Lu60jeFmBB9YK4gWAXn5R9QtMewk5M/Y5POGXQKZ2fX9n4SkxCzjZPG69ufLXz88mFJ/Px9o+TXu+D7R9029YObwcLaxd2fi62FrO2eW3CY20+G3XOum6vN9A4GH3zoOFshtqVkDelR4fb/DYcAUe3+5wPhEqbAo08jFGZuC8lIyKTE1LqUCRLdKux0uhqTFjXF5RkG/lpe8t+jz2CxPR232xz+VlWHjuxHpSqo7TRQSAU4dihqXyzKfn35oNVNZw5Nnb1NRKBrzf233ftkMPVAhvfj/6/tQgaNyY+zl4HunTY+FH0c8m5sOY/cYd1ZBSzqW1Twku0elvJ0mXxTUWSsZ/o+HtKYXR8/W/pf4kQieaBSMD6lvU4/A7e2pJ8Ue79be9jVpvjFmt2sbltc9KE2u2+dpbWJ16scwacVDmqkt73cKA3+6fDG+C1JRUJ6yYWWvhkbfy8RCGToJLLaEkyd91Qa6fN1f289rDD1QybP0pcF/RB+w4w5cWWDz0R1v03+TVXvBTtj3vQqk+jwZV4oaKso4y21Pjo0dr8Sbyz9Z2kt/po+0cJy5fWL+12Tn18/vEJ6/5b+l+uHXVtTNkwyzB22HbgDSUWvhfWLqRjL3N8gWAgsF8Cy/HHH8+nn34KwHXXXcedd97JiSeeyMUXX8y558Y/KLpj/fr16PV6VCoVc+fO5cMPP2TkyJEJj21oaCAjIzYJUkZGBsFgkJaW5CuYjz76KCaTqfMnLy8v6bG9hd3TJfholTJsnuQCUCQCgVDyl5xQKExrNwNVh9u/R66W+PpAqJuXj0gYvB3J64O+qEK/i3Aoek4S/MHuVxTdAXdMaO6eKrc/1P2qR7IVK4hGgoQiyVfkbV4bWnnXdiyb30Yw3CVOhSIhbLutDOgUOmy++JWCXTS7m5MOTLBTzd9N/d/zd90Th9/Rbf1A42D0zYPG9p0vJjkTe3T4rrDbPbew9RYVNjkZuhD74NrYSVBtROlK/My1qMw0e5oJd9MPe5NR2SaaHD7Kml39cr8jhd7um74EY5xO1TU26lTybsfJdncArTJ+S0eT4wiOYAkHusbm0F62+QXc0WgWiOZb8cQLE769jE+BUCBmfNyTDl9H5/ja4e3Ya96HYCTY7fjqCrjiol/2xJdkvrC3ex/uL3m92T99gVDnguCeRCKRuMhrAKVMituffGEPSHjeYU0o2OWolQhPOyj3MJlQGhL2ta5z2uLPkcrw7mUe7Asn+NtLJN32pzZvW8x8dxd7RqzF3Cfk61wQ3ZMOXwcaeWyuHavK2q2LYDgS3mvfFAgGAvslsDz33HP8+te/BmDu3Lm88sorFBcX8/vf/5558+bt07WGDx/OmjVrWLp0KTfddBNXXXUVmzYlXkEB4hxjdq1aduftfv/992Oz2Tp/qquTR4P0FoNSux6YjXYvRWnJnX3SDSr06uR7gWUyKbNHJM+uPaXIiiRBCN8uZg1Pw6jpZq+xUgf58baLnaiN0aS2u/A5ognzkmDSWOMeuruQSqRYVJbOSZFcKke523YJjVyDSWVKeO4upmUnjnACGGkdiUauTlo/MXNijEXctKxpGJVd+5X1Sj1Ts6Z2ft7cupmJGclfiE8sODEuRHJ39Ap9zAtyKBKKud+eFBiPrL2pB6NvHjS2fQ2pwxLboSag1lGLQirHrO7Z8ftKhV1Bhrb7CXIygiojiiQCi1VtJRAOdiuE9ibDMw3IpRIWiW1CvUpv902jWhFn6VrR4qYkO/q831hnY1JhvE3sLqYMsrKpLv7l4bjh6QmOPkJQ6qORKwBSWTRhbSIk0mgulrzJ0c/1a6Egfsw3RSIxCxAxl0CCQqpgQvqEpM2ZlDGJzW2bATgm5xh0iuTzHr1Cj06uY3Lm5G6vZ1QakZB4fqeVazGrzAnrDEoDFlXyZ+cQ85CkdYcDvdk/LVolxwxNLOQ7fSGGpsfnUnH5Q6ToVEkFer1KjlkzwCycVXowdzNHyxgFHXtss2pI3Nc6KTgGGtbHloVDpMo0SYUNlUyFJcHrmzrg63a+OjN3ZsK8Q1OykkfVDrMM69zivifTs6ezunF1TNmGlg2UpMTn0NxFhjaj2+eCQDBQ2C+BRSqVIpd3ddKLLrqIp59+mttuuw2lsoeONTtRKpUMGTKESZMm8eijjzJ27FieeuqphMdmZmbS0BAbMtfU1IRcLiclJbn9mEqlwmg0xvz0NSl6FRdMiFqsBUIRNtbZmTU8caj/r08vJtOYXBQAmFRoIc8aL1ooZBJunz0MvVqBRRs/mOlVcq6YVoiyO7cFjRlO+mN0ghb3iwyJiikn/aGrbOVLcOwvE19r6MmkKc3cPOq6hNVnDT6LBTULOj9fPPxivq74uvPzTaOuI03bvTNAgaGA4ZbhceUSJNw16S6ylSaydfECkEKq4OJhF/Ppjmj0lVqm5tpR16KSdyUA1sg1XD/6etSy6L/Hp2WfMmfEnISDUq4+l3Hp47pta7o2nV9N+lXn5w+3fcjVJVcnPPaswWdhVSd/wRiIHIy+eVAIBWH795CT/OVkT2qdtaRoUpAmebk4oOaEocYh3+f8K7sIaowoXYnD9i07v8P9tU1IrZAxLMMgBJZeprf7ZoZRzf2nxjpLOX1Bmp0+JuZbKG10kmfVkJPAfUQpk3LZlHw+XF0bUz4sQ8/wzJ45uQ1IDBlw6mPR/1/3TjQPSyLGXxG1gc09KpqIc/27MPFqkMcmv09b8Tq3jrwq4SXOHHwmX1R8QXFKccKoOrVMzRlFZ/B1xdeka9OZkTsDhVTBmYPPTHi9uWPnkqJO4ZqSaxIuyKRqUjk291i+qviKs5Mk+b5l3C2kaRLPq9I0adw96e6EdacUntJnkYH9RW/2T5lMytnjchI6Tr6wsIxfn16c8LwtDXYunZw4cubOE4eRbhxgFuqGTDj1L4nrBs3aGY6+R8RV7SoYdkr03D1RaODo22O34O8kpepnLh8xJ+GtfjH6BlK3fR9XnvHx7dw6/tZ9nq8WGAsSiiISJPxq0q/4tOzT+PapUzix4ETeKY3dkuQMOpEgYXp2YlHpjol3kKMXtuyCgc9+CSwA7e3tPPHEE1x33XVcf/31/PWvf6Wt7cBXLCORCD5f4tC4adOm8c03sft/v/76ayZNmoRCcWgp5SaNgntPHcF9pwzHolXwz++3MeeofG49bnBnNMmgVB3PXzmJWcPTuo3AAShI0fH6tVM4Z3wOSln0n21SgYW3b5zK/9bW8tuPNvDMFRM5uSQDqSSahPy44Wl8ePN08i3dOxQBkDYCrv0acneuJslVMOFquPIj0KdD7hS47F1IHxkdMFq3w/kvQurQ6PFqE8y4B856GoUulbMHn80jUx/qtFFMUadwx4Q7mJw5mXe2vkO6Np17J99LkamIT3d8SqYuk0emPsQ5RWf9P3v3HR5FtT5w/Lu976b3Qui9izQBRbCgXnsv2AvoVa96f/Z2Fb021Kti74q9N1AEUZr03iEJIb1tNtm++/tjSMKyu+mbxvk8Tx5hzszs2ZXJzL7nnPdFpWq4vF+6OZ3npjzHeX3PqwuEDIgZwOvTX6dXRREJn8zkrRNe4owep9bdaEYljOLlqS/z9ua3qXZXMy55HB/N+Ig0U3DlkXRTOh/O+JCxyWOpclfx3pb3eHnqy3Ujdyq5ijN7n8mbJ73ZaJlImUzGxNSJvHDCC2SaM1mevxyvz8ujEx4lzSi9dpQmiltH3spto27DrOmmAYajXd4acFZC6ugmH5JTlRuxLwEHbUo8PhmJ+hYGWDQWFK5qZCGWA1o0ZhQyRbslugUpD8vyPaV4GlhqKXQshVzGSYOSeOWSkXVV86L0KpxuL3MvGs51k3ry1M/bmXP2EE4fmoxKId0Tx2TF8NkN44gzqul1aCRdo5Rz2dgM3rlyDImNDE50exlj4bKvpXuyWg8nPS5VLgEpmDLtETjuXyBTwq8PwlmvQs8TYOmzcP57kDlB2lehQqW1cHrP05hz3BySDcmANCPthqE3MDJhJEsPLEXusPLO5LmcknFi3Qj7sUnH8uyUZ3ll/StMSZ/CG9PfIMOcQaw+lpuH38zNw2+um02Sakzl0QmPcnKPk9GoNKSb0nn35Hc5NkkaRVfIFEzLnMar017l6dVSAYMbh93InaPvrBuASDYkM2fiHE7vdToqRehnP4VcwZT0KTw35TnSTVIQwKw2c/Pwm/n3mH83OlP2aJMVZ+CT68YyfWAiCrkMmQwm94njX9P7MSDJxLtXHsOAZCmYqVcruGJcJjOGJnP7tL7ce+oAYg8FZ9Kidcy9YDhnj0xFpeiGFREzJ8ClX0rPzCBV1Zz4Lzh7npRf7YT762epxvSUrrGoTLjiOxj4D6mUM0DWJLjyZyk30kWfQPJwabtKB6OuRD/0Qq4acg13j6mvdJmoT+SR8Y9wbr/z0Yy7WXpGrw2Spo2Bk+eQqk/inZPeYUTCCOl0chWn9TyNedPmhZ0hHaeL4/njn+fSAZfWBTv7RffjrZPeYmDMQB6f+DjjksdJZZZlCk7MOJE3T3qTeG08Lxz/Qt15zWozNw2/iWRjMg+Oe5CrBl+FSSX9m8kyZzF3ylzGJo1FLm/xV09B6DJaVKZ5yZIl/OMf/8BsNjN6tPSFYc2aNVRUVPDtt98yefLkJp3nnnvu4ZRTTiE9PZ2qqirmz5/PE088wc8//8y0adO4++67ycvL47333gPqyzRff/31XHvttSxfvpwbbrihU5ZpruX1+SmqcuDx+tGo5GiUckpsLunvSjkJZk3IdeXhWO1uSqtd+Px+jBoFJo2K8hoXPj+YdSoUcqisceNHCvKYtM0MPNWUSUuA5ArQx4HqsIdXlwNsB6VqQTIFaKPBUS6tL1XpwZgIxsDRpCJrDi6fB5VMSZwmmlJHCS6fG7VcRawmlhJnKW6/F7VMSYLKBDUlUqZ2fQxlah3lbht2jx2LxkKsXIO+ulQaIdDHYNNFU+qswOv3olFoSFXopYS9fh+ojNi1RipcVnx+L0alAbXGTLmzHD9+zGpzo+WVrU4rVe4qZMiI0kTh9rmxuWzIZXJMahNWl5UyRxkquYoYbUyjyUhL7CU4PA6UciVxujjKHeU4vU5UchVxurijujxzrW5bpnnRY1Ii6fPfDz1T7Ag+/Nz0602MSxnHsUlj2rw7fx7Q8p/lMdw/rhSjuvnJYdVVhSRt+pJ9k2/HZQkejXpz85sMjx/OxQMuaYvuNmpnYRUPfruFr24az4iMyCypOtq15bVZZHXg9PhQKmQkGDUoFHJcHi8lNhc+nx+5DBweH16fH61STmKUFrVCQVm1k2qnF7lcRpxRjaahmZldkaNSSlzrqJS+uBnipRmmTWErlvKsKNTS8e5q0FikHGquKulLn0ov3bv9HqkCkUwufUHzOKVRGYVaygmhtVCsVOOUSct4VXIVdo8djVxFvA/wOLGrdZT73fjxo5QpcXqd+P1+orRRQcELt9dNfnU+Xr8XpUyJUq6kxFFCtCaaOF0cWqWWkpoSbG4bMpkMg9KA2+tGJpcRo41BrVDj8/sorinG7XOjUWiI18fj9/sprimmzFmG1+clWhtNvC4+KOhSXFPc7e+1bXV9lle7qLC78PvBrFUSZ5KeAZ0uD/lWB26vH7lcRpROSaxRavP6/BRXOXF7fYeea4+CoGdtxSC5UhqErP03V54jDaY4bdI1p4uSZq/4/VCVLz3f+v1SIMWUDAoluJ1gzQOPQ3o+0FrqZrwc/u9erVCToD9sSaTbLj0z+3zS7wu9FIC0u+2UOcpwep3IZXIMKkOTkuW7vC7KHNK1pFPpAmZUF1UXUe2pRoYMk9pErK5+1UBJTQkOb/2zbe3AptPrpLC6sO4ZPcUYPrWAIHQ3Tf9mf5hZs2Zx/vnn88orr6A4FKH2er3cdNNNzJo1i82bNzfpPIWFhVx22WXk5+djsVgYOnRoXXAFID8/n5yc+kzvWVlZ/Pjjj9x222289NJLpKSk8MILLzQruNLeFHIZyRYpIpxTWs01765m44HKurYLR6dz67Q+xJuadkMy61SYj1jXqtcE/m80aloxm0cfU/dLOkB1MSz7H6x4CXweOONFyF0lVSKoTZqVPBzOe7t+TTiQYM6Q/mDNgy+vIWHnz/Xn7D2NxGOugh/uhDOehyVPSuc0JZFz7mvcufHluooGSpmSc3uexvXmgcR9dSPIlRjHzsI4fjboYqFwE3x6OZTvl86t0qM74T50wy4KeD+6RmbHHM6sMQfNKLFoLFQ4K/h85+e8tP6lukzpaaY0np38LP1i+oXNyXLkbIRIVYcROqHdv0LysCYFVwBK7aU4vc6w099bK9uqxKDyYVC1rPKORyd9gVJXl4YMsERro4PKo0ZSr3gjOpWCv3aXiABLFxDqC5haqSDBpGHDgUpmf7SW/EPlnA1qBfefPpBTBycTY9AQ012X71sPwo93wvbv67f1OhHOeAFCXGNBjPFgzYef/w+y/5Jmqvz0bzjwt9Quk8OwC2H8LfD+mVB1aIaZNgpOngN+L3x/uzSAAsQnDIDz3oX44OW4ALpDP02hUqjIMGewp2IPs3+fzd7KvdJ2uYqrBl/FxQMuJk4fRxzhZ+zJZXISDfW56DxeD5tKN3HnkjsprJGWIxpUBu465i5OzDgx4N4t7rVNF21QE33EUqFSm5O3/9rHa3/sw3VolmCfBCMvXzKSPokmFHIZSZajIKhyOGOI3E8lu+HrGwKvuSHnw/H3QGUufHH1YdedBU59CnpMgvUfwh9PSQEWgNhe0mBMwsCgf/cBVLqgqkXFNcX8sv8XXlz3Yl1p82RDMnOOm8Pg2MEBS+KPpFaow87KTjCEz3UVpw993WoUGjJqvwMIwlGmRTNYdDod69evp1+/wBvvjh07GD58OHZ7w1nfO1pHjJIXWh1c+NoK9pUEV7q4cXJPbpvWt+E8KR3J54UV82DBPdLf+58GURmw4uXgfaOz4MqfwJxcv81eDl9eJyX5PFLvqTDuFunch0pMFp09j5m73ye3Kjhp2/X9L+H6/ZtRbTu0JnT6YzD4HHjpGGnmzZEu+AAGhF4D3lIL9i/gX0uC13YbVUY+P/1zUk1ifWlLdcsZLPZy+G9PGDcb+kxvfH9gffF6nl/7AjcOuxFzIzOtWmLOimhyrUquHx6+4kCD/H7S/n6b0r5TKes9Nah5ce5idlfs5qnJT7euo83w9IIdKOUyPrk+fBJsoeXa49rcX1LNSXP/CFl95KNrjmV8766dNyMsRyV8Mwtq72uHy5oiDVyEGvgIOIcVvrtVKts841lY9RoUbw/eb9SV0uyWI0vHXvABfHtzYMUTYyJcu6h+yVEr5NvyufCHC0Mmv75v7H2c3/f8RpdKHy7HmsPZ354dsorQmye9yZgIzPzrzCJ1ffp8fj5Ykc0D3waXAI8zqvl29kRSQuRNOuqU7YX5F0PRtuC20VfDiEvh9eMDt6eMkNq+nR18jC4arl8KUc2rDrU4dzE3L7o5+HRKHZ+c9glZlqxmnU8QhJZp0UK4kSNHsm1b8C+Rbdu2MXz48Nb2qVvKK7eHDK4AvLMsmyJrwyXZOlRVPvx52BelwefA2vdC71u+r34WSa3qktDBFYB9S0GlqQuuoDFxQGcMGVwBeH/3VxQPO69+w5/PSLNjQgVXAH57RJrK2UZK7CW8sO6FkG02t41VBava7LWEbmLfUmnZWu0a6yY4UHUArULT6DK2ltpfqSTB0LIKQgDIZHi0FtS20IluY7QxlDnK2rUc4+AUC2uyyxstHSp0Xt9vPBi2tOvTC3dQUdNNy3tWlwTOXDncvsVSe6PnKIatX4FSKy0tChVcAdjwEfQPMeiw9l0Ycm7gNlth/b25lbaVbQtbWWzehnkU1TTvPv3jvh/Dlmj+39r/NViuVmi6wioHLy7aHbKtxOZia761nXvUSdmKQgdXANZ/IOVHOtKIy6SZ26HYy+FA854nC6oLeGVD6Equdo89oKCEIAiR1aIAyy233MI///lPnn76af7880/+/PNPnn76aW677TZuvfVWNm7cWPcjSPaXhg6uANjdXmrcLUs22S48Tik3Sy2ZHFy28PuX7gr8u6OBBx1dFFQcVgLOEE+27WDY3Ws8NdgPX2ZRUyatJW+oL153+PZmcvvcZFuzw7ZvKtkUtk04Su1dDObU0FOKwzhQlUe8Pj4C9YOkCkJ5NmWLE9zW8mjNqKqLQ7bF6GLwA4XtmOh2SJoFj8/Pyn3tUx5aaFsuj4/1uRVh23cX2XC4u2kSY0eFlJchHHsT/k07rVIgVxctDTqE43FK+x2pZFfQcgOgzQIs28vCBHyQBi5cvqYHz1xeF5tLwi9F32vdiyNEAm6h+VweH8W28AOA2w6KAAsAZfvCt3mc4AzxHUAfKy0dCidvXfi2EFxeF/sqw/dje9l2vL5O/F1DELqRFuVgueiiiwC46667QrbJZDL8fj8ymQyvV1zMQF3VhFA0Sjk6VSddHgRSEjxd9GFTh/1Ssjx3mMBGTK/Av2sbmK7qqAxcX15TSoYhOezuOqUO3eEPotqo0CMDdX3pKSURayMquYo0YxoHbAdCtg+MGdhmryV0E3sXQ9KQZh2SW5VDYiMVqlrqYLWiVRWEarm1Fgwlu0K2xWqlBHgF1QWkm9pnDXaKRUusQc1fu0o4vl/Tg1lC56BWyhmUYuHXbaFnMmTFGtCoumn1icYq2uiakFdIY5IS1drLwdxAMkmFOnQuqJheUh6YI9VWS2mlvtF9w7bFaGNQy4NLBIejkqvoH9OfJQeWhGzPNGWiUXSzEsEdRK2UE2NQU1YdOgDW92guk3646NAVegDpmtMYg7c7KqRrNdR1B5A8tFldUMvVZJgy2FG+I2R7n+g+3TLBsyB0Ri16Wtm3b1+DP3v37q37ryBJi9GTFh16neolx2aQYO7EDwPGJBh/2JrOrd/A8ItD72tJg5gj1njq46R15KGkHyvleKkt9+yoJM3lqCsReaQLe55O3KYv6zdMuEW6QanCBFmm3CutI28jcbo4Zg2fFbJNp9QxNmVsm72W0A1YD0LZHinBbRN5fB4KawojluA2xyolwW7VEiHAo7WgdFiRhZimr1Pq0Ct15Fe33wwWmUzG4FQLf+wKPatG6PzOHJGCWhH6seT2aX2J1jf9S3iXYogLn58pY7zU3ug54qHfDClRpr1CSpQZypDzYMdPwdtHXQGbjsjLoo9pdnA4nIGxAzGrQw+2XDvk2mYlopXJZJze6/S6aiVHmjV8FlHaqJZ0UzhCgknLTVNC/1uK0qsYnNJNcqW1likJYnuHbht6AbhDzKha9wFMvD30MRqzVIK9GZKMSVw/9PqQbWq5mpN7nNys8wmC0HItCrBkZmY2+UeQJJm1vH/1GPom1kexZTI4a0QqN0zu1bnLTSqU0lrR0ddIy4O2fiMFRgafK72JWvH94LKvg0fP9DFw5kvQ47jA7ZkTpMDNtzfDyU9CkhStT1z4CK8dcy89LfXViGTIOKPHyVxmHoh6y9dSP0ZfI/XLkABXfCeVvKvrsxqOvxd6TWnTjwJgQuoEbhx2Y8DDXaI+kTdPejNsYEg4Su1bKv03qekjUQer8/H6fWEz87dWjlWJXuXD2MIKQrXchyoJqRrIw1LQjkuEAIakWthZaKOoSiwP6IpSo3S8d/UY4oz1gRSNUs6Dpw9kWHpUx3Us0nRRcNpc6HlEEsyM8XD2a9JSgsbUViXpfSIsfhxOfRoSB9e3y2Qw8Ewp2fbhOdHUBjjtOSlJ7uHLeaOz4Iofmp1kM5xkQzJvn/Q2qcb6GasKmYLLB17OKVmnhK2+19D5Xj3x1YBSslqFlv8b838MjhvcwJFCcyjkMs4ckcpVE3qgkNc/76XH6Jh/7ViR4LZWTE+48OPAgKRMJhVZmHQH1FQEJqpW6WH4pdB/hhRkOTxYaEmDmd+DufnJpYfFD+PmETcHzAiL1cby8okvk2oQBRgEob20qIoQwPvvv8+8efPYt28fy5cvJzMzk7lz55KVlcU//vGPtu5nm+rISiXFVU5KbU6qXR5iDBrijGpM2laUVW5PzmoqHCU4vG7kMhmxKgsKZ6WU40QmB0M8ZTI/Tq8ThVxBvC4+sCpATZmUiM9RIS3t0VrAVS2tB5er8KsNFLur8Pp9aBQqFCoTZa5KfPhQyVXEqsyUuyrwARqZkkS1BVxV0vEqE3iqpfN7nNKsFUN84PIht/1QLhm/9Nqalk9ttXvslNpLKbWXolaoidPFoZKrsHvtyGVyYrWxYUfXapXaS3F5XSjlSuJ0cc2qoNBddbsqQt/Mgv1/whn/a/Ihy/OX89rG1/nnyH+ijcA09ydWRJFtVXFDSysIHaJwO0j9+23yRl+BLSU4gPTTvp+ocFXy0LiHWvU6zVFpd3PDB2t47oJhnDWi9ZVPhHrtdW36fH4KrQ5KbE7cPj/xJg0JRg2azryMtq0cfo/UWKR7mKGB4IrDKuVekSmlZT9eJ/h8gB9qSqRRcHeNlAReHwu6WOlLnvWglMDW75O2u+1SyVeZXCrTrDFRig8XPpRyJQqVDqfHiUahIUYnfUm0uWx1SWtNKhPRTVnGBJQ7yusS0CplSmJ1sehUTfuSXlxTjMfnQa1QE6uLxef3UVRTRJmjDLfPTZwujjhtXIOlaI88R3cR6euz2umhxOak1OZCq1YQa1CTGKLc+lGjuhQ8dumaMSbWL7urzJNyFB56rkVtBHOSNFPbViRdryA9mxoSpCX4rhoq7SXUeJ2Hnq1NKFsx89rmtFHuLMfpdSKTyTAoDcTp4+qeSUvsJbi9bpRyZcDMMafXSVFNEX6/H61CG1CaucZdg9Ul9T1KE4VWWf//vsxeVvfcH6eLa1Kw1O6x1/0eMKvN6MPNQheELqpFySleeeUVHnjgAW699VYee+yxujwrUVFRzJ07t9MHWDpSvElDvKkTLwcKo8ZTw46KnTy9+mk2lmzEorFwab+LOMfSn/iPLsI6fjYbso7luY2vsqtiF/G6eK4dci3Te0yvf4jRx9RH8CvzYNv38NdcsOZReu4bLPDbeGPbe5TZy3hq8lPsq9zHh9s+pNRRSv+Y/tw07CaW5S9j/vb5DIkbwq0j/0nf3A1E/XinNNJ30n8gYaD0oHik8mz44xnYNB98Huh7Mkx9SJpG3YI1qTqljjRTGmmmNBweB7vKd/Hfv//L+uL1mNVmLux3IRf0v4AEfXAuCKvTyvri9Ty75ln2VOwhQZ/AtUOuZVrmtG71wCcgzWBpxuwVgNyqA1g0logEVwCyrSri9a2vtONVavAqtajDJLqN1cWyo3wHfnzIWjZZstksOhU9YvUs3VUiAixdlFwuIzlKR/LRODJ++D2yIV4PlOyEXx+QgigDzoBlz0PeWun4Y2+CkZdJyxaOVL4fljwFmz+TvvT1PQkm3ArWXFj6DJXH/Ys1Spi7cR77rPtIMiRxUf+L0Cq0fLbzM/5vzP+RqE/k9U2v8/O+n/H6vUxMncgtI24hy5yFShl+wCjPlsenOz7l852fY3VZGRY/jNtG3kbv6N5YGshDU2ovZXHuYuZtnEdBdQFZ5iz+OfKfjE4aTZIhiaQm5Ksqc5SxJHcJ8zbM42D1QTLNmdwy4haOTToWi7aRHDgCBo0Sg0ZJZqyho7vSsZw2yN8AC+6Fg+ukAOW4WTD8Emlwb+vXsOJlqCqQnkdPuA/8w6XnzqXPwsb54HPXPYM6TInsrtzL02vmsqZ4LSaViQt6n8WFAy4i0dT8e5jH6yG/Jp9nVz/LsvxlaBQazup9FjMHzUSn0rGmYA3Pr32+7tq+YegNHJ9+PHavnU+3f8rnuw67NkfdRp+oPpQ6Snlx7Yssyl2EQqbg1J6ncv3Q67FoLGwp2cLTq59mR/kOYrWxXDX4Kk7teSpxuvAzcHOrcpm3YR4/7fsJv9/P1MypzB4+m0xzphhoFLqNFs1gGThwII8//jhnnnkmJpOJDRs20LNnTzZv3syUKVMoKWlCScEO1O1GydvByvyVXLvgWvwE/nMZmziaJ9JOZTl27l7zVNBxZ/c5m3+N+hdmzWGfc3WpVJpu1asAWMffzLNqF19kS+vCbxx2I9vKtrE4d3HQ+R4a9xCf7PiEbWXbkCHjpRNe5LjFz8Ge36WRhKsXQNoxgQdV5sKbJwVXVlAb4fo/wq9Vb6J1ReuY+fNMfEdUZhgRP4Jnj3824Ebj9Xn5bu933P/X/UHnOa/vedw26raIlebtCrrVtVmRC3MHw5R7IHN8kw97ds1z1HiqObfPuY3v3ExeP5z5ZTInZVVzXFrrl9EkbfoSe3QGBcMvDGrbXbmHL3Z+wdOTniKmHQOHH67MZuW+MlbdM1U8rLWhbnVtdnXFO+DVSdLynUl3wVfXBVch6nWCtLzIcFhuk4pceHMaVOXXb4vpCSfcD19chWfi7XyZ1INHVwffy8/tcy4ymYyJqRN5fOXjFNYUBrTrlXo+mvERvaJC308P2g5y1x93saF4Q8B2uUzOa9Ne49jkY0MeV+2u5uX1L/Pe1veC2u4bex/n9D4HZSOJ7GvcNby28TXe3PxmUNu/j/k3F/S7AJWii8wkDkNcn+1k96/wwTnB20+bC7krYcPHwW1nvQrbvgsuxR7Tm00XvMFlv1yJ1x+YdH5ozCDmTn6a+GYuE9pTsYcLvr8gqIT5Wb3Pon9Mf+asmhN0zOUDLydKE8UL614I2K6Wq5l/2nwu/+lybO7AyqETUyZyZp8zuWPJHUHnOyXrFO499t6QQdODtoNc/MPFlDoClxab1WY+Oe0T0loQVBKEzqjFSW5HjBgRtF2j0VBdHb4csdA1ldhLeHzl40HBFYAVhavJi83kxe0fhjz2y11f1k0jrlNTAqvfkP4sk1Ha5/i64IpSrmRg7MCQwRWAVze+yvn9zgfAj5+n1zzLweP/T2r0++Cn/wssKQ2w69fQZStdNlj+kpQUsIXKHeU8sfKJoOAKwLrideRWBZbgK7YX8/Tqp0Oe6/Odn1NqD53PQuiCsv+S/ps4qFmHHbDlRizBbWG1AncbVBCq5dZaUFeFrvpSW0noYHX4suuRMCTVQnGVk52FDZSSF4SuylUNi+dI963RV8Ef/w1d4nnPImmmaC2/H3b8GBhcARh1JfzxFPj9FA89h+c2vBLyZb/c/SWn9zyd3RW7g4IrIM1yfW/Le1S7Qj8D5tnygoIrAD6/j2dWP0OBLXS+plJ7KR9s+yBk29w1cymyh/79c+Q53tnyTsi2F9e9SLFdJMYWmqCqEH68M3i7TC7lHgwVXAFYcB8MOC1oc8Xw83lyzTNBwRWAjWVbyK7Kblb3qt3VvLTupaDgCsDE1IlBAZRaH277kP4xwdXCJqdP5qPtHwUFVwCm9ZjGf//+b8jz/bTvJ0rswQPtPr+PBfsXBAVXAKwuK5/t/Ay31x3ynILQ1bQowJKVlcX69euDtv/0008MHCjK1HY3Ne4a9laGrwi1pnhjg9N7g46tzJWmJgPoY9l3WCLMJEMSeyr2hD1XfnV+QCWCvZV7qTm8/F3eamm9eS1XtTRlM5xdv0gVF1qoxl3D1rKtYduX5S0L+LvVaa1bd3okP36yrc27oQqdWPZfEN1DyvfTRDZ3NeWOipBLy9qkS1ZppDfR0DYBFo8uKuwSIYvGjEquJL86P2R7pPRPMqNWyPljp/jSJHRD9gopeAJgToUwpdIByD7s/uOySQnqjxSdCUXSPazCYw/5ZQqkL0cen4e/C/4O+3LL85dT7iwP3XZwedjjtpVto8ZTE7LtYPXBkAMYADa3Lez99HBFNUUhv8SCFBgK12dBCOCsgrIQz8KGOGnpXTjVxaAMXvJYkzgwZNCx1tIDfzarezaXjb8O/hW+G+7QwU+v30uFsyKotPmg2EGsyF8R8hijykhRTfjg5o6y4FLRNpeNX3N+DXvM77m/1+V5EYSurkU5WO68805mzZqFw+HA7/ezatUqPv74Y+bMmcMbb7zR1n0UOphCrkApU+Lxh87bYNGYcTQwC8SoMgZuUB/2d48To7J+Ta/T48SoPmL/w8iQoTgsZ4pSpkR5eEItlS4wp4pcBdoGku9pzIHZ25tJLpOjlqtx+Vwh248sFdnYNGSD6ihf39yd7P8LEpo5e+XQjKdIlmjWKnyY1aG/sDSXWxeFwlWDwlWNVx34b1eOnBhtDAfbOcCiVsrpn2zij13FXDupZ+MHCEJXIldI9y1HJSCT/u4LEzDVH3bvk6uk5PJH8vtBoQKvG7Wi4TLYSrky+H5+GJPahEIWOqdZQ4MwKrkq4L5+OL2y4eSXjfUZCEjIGfIc8m5a/ltoWwqlNFvlyICfx9l40YQQy9jkPg86pQ67xx7ykKgGrplQZDIZJrUpZLBSJW/42VOr1OLxBT7jOzwOzKrQy80aK+IQaqm7Sq4KW6odpGTZjZ1XELqKFs1gufLKK3nwwQe56667qKmp4eKLL+bVV1/l+eef58ILg9fiC11btCaa6T2mh2xTyBSMjOqLOUzeEIPKELym0phQvy7cWUUairqHtmJ7MQn6hKBIeq2xKWNZW7i27u/HZxxP1IF19TsMu0QaTailVMOx14d/c+NmBe7fTDHaGM7ofUbINhnSevXDRWmiGBQb+ku3SWUKKGEpdGFVhVC2BxKbN6Mv13YAhVxBdENBwVbIsSpJNHhpq9QkHl0UAGpb6JGsGG0sB20hludF2NDUKFbtK8PhbpuZOoLQaRgS6u9pexZBv1ND7ydXQPrY+r+rtDD2xuD9di+E/qcDEO2w0Te6b8jTRWuiKbYXM63HtLBdO7/v+SQbk0O2TUydiIzQv3hO7nFy3ZLCIyXoE4jWhP592De6b9i2w8Xp4sIm3cyyZEXs963QzehjpbLKR3JUgtoUPsiSPlZKjHuEmM3fcFbP08O+3PEZJzSre3G6OC4ZcEnIttyqXHpH9Q7ZFqONwelxBs3yWpizkLP7nB3ymI3FGzk2KXTeJK1CGzIXk06l47KBl4Xt/xWDrmgwECsIXUmLAix2u51LLrmE7OxsioqKWLFiBbfddhtpaSI5UXekV+n558h/km5KD9guQ8YTo+4kadk8Hh10bdADkkqu4vnjnw9e7mDJgPPerav2k7B0Ls8fc09dhP3DrR9y/9j7UcoCI9mJ+kSuGHgFX+/+GoB0Uzr/HHYjUQsOJYyNHwDH3Q5HjlbF9w39YNlnOvQO/7DYFBqlhuuGXkdPS/BI+aMTHg2aiRCtjebx4x4nRhtYKUItV/PCCS8ElMwTurCcQ1PzEwc367C8qgPEaWPDjgK3Vnalkvg2yr8CUg4WkIUNsMTpYsmz5UGI/E2RNDTNgtPjY9W+ssZ3FoSuRC6HwedC5gTY+AmMmgnRWYH7yORwzlvBVYQSBsIx1wRu2/Q5jLkOYnsR8/N9PDnuYaI0UQG7aBVa7h93P69vep2i6iIu7n9xULfGJ4/nuLTjwnY7VhfLA+MeCAqyZJmzuHHYjWFnriboE3jhhBfQKgLv6xaNhScnPVlXNroh8fp4nj/+eXRHLNMwq808M/mZBiueCEIdjQmmPwZRmYHbZXLQmuHcd6TZYIczJsLpc0OeTu12cOWgK+hjCQ58PHjM3cQ389+lXCZnRs8ZjEoYFbLtieOeCApgaBVa5k6Zi1qhDro2fX4f41PGc0J6cKDH6/dy79h7SdQHlpNWypTMPX5u2Fm4/WL6cU6f4CTB0zKnMTJxZKPvURC6ihZVEZo+fTpnn302N9xwAxUVFfTv3x+VSkVJSQnPPvssN94Y4stsJ3LUZ1t326UbgrJ5ZWALqwvZXradv/L+JMmQzAlpx5FYkY9u0xeQNIT8vlPJrimgyF6MWWWmV3QvkvRJgctifF4pOZ9MAZU5UgLa4h24+06nIGkAS/OXs7dyHydmnEiCPoGleUvJrcrl2ORj6RPVh6V5S9lbuZdxyWMZEN2f9F2LoHAr9DtJSiZqCj16Rk2ZlOh28xfgdsLgMyG6JxjbJqBRVFPEzrKd/JH3B3G6OKZlTiNRn4heFXp6c74tn/VF61lTtIZell5MTJsY/FkdhbrNtfnjXbD9OzjrtWYd9sjyRzGo9czICjFK1ko+P5z1VRInZtqZlB56SnJLpKz9EGvaKIoHBifx21G+k693f81zxz+HRd1+I1N+v5/ZH6/j7BGp3HeayAvWFrrNtdkdOG1SfjHrAdj+I/SZJuV52LsYLOnSKLshDtRmUBwRrK0plZLfbv4CvC5pX69bGpioKQVbAQd7T2Ft0XrWl26hV3QfRiWOoqC6ELVCTaY5E4VMQamjlD0Ve/D5ffQw9yBeH183e8XutqNSqIKm+1c4Kii2F9cluhyfMp7+0f1Ja6RSisfnoaC6gGUHl7GzfCfD4ocxKnEUKcaUJn9ktedYfnA5O8p31J0j2ZDcLaqNieuzFbwe8DpBpadJ0zsr86A8GypyQGOQlgKbk6XrqCofdi2A0j2QMVaqahnbC2rKpVLom7+SnsEHnQkxvcAYT5E1l90Vu1h8YCmx2him9ZhOoi4eQ23w0OsFr0O6RsMspTtcSU0J+637WZi9EJPaxEk9TiJRn4hJbSK/Op/9lfspcZQQpYmip6UnSYYkqlxVlNhL+GX/L5Q5yqRrM6Y/aaY0yuxl5Fbl8kv2L6jkKk7ucTLJhmSitFEUVBewsXgjqwpWkWnOZHLaZJIMSQ0u3atwVHCw+iA/7/sZj9/DyT1OJs2UFjTwKAhdWYsWu61du5bnnnsOgM8//5zExETWrVvHF198wQMPPNDpAyxHLetByF0F6z8AuRrGXCONsBubllAz0e0ksTibyTYvOEshxgbJwyFrEm6XA0fNQVYXrmFj8UZSjakk6OMxyTVEGRKkNaoVObD2fSjYAElDYeTlcMzVoNSgAtKBi6OkmSDVrmoO2A7g8rowq82U28vxWXykGFIwq834/H7kCiWMvrJp710fI/0kDWnRR9eYBH0CCfoEJqZNbHxnINmYTLIxmVN6nhKR/ggdLPsviG/eF3uv30ee7UDQsrK2UlSjwOmVk6APnUuppdy6KNRVwVVFQJrBAnDQloclpv0CLDKZjCGpFpbsLOa+dntVQYiw8hwo2Ajr3pfyQAy7UJrBotBAyW5IHAJpo2H9R3BwHSQMkNqjMupmjKKPlX6Sh4Z9mRQgJbo3J3pOo6imiPe3vk+2NZuRiSNJNaXi9/soqilkQfYC3D43p2adSqw2mnxbPksOLGFR7iJitbFc3P9iMs2ZmDXSF/4obRRR2ij6RPdp1ttWypWkmdLqKgi2RO05zut3XovPIXQz9koo3werXpOej/tMg/6nSYmfw/H7weeBg2tg929SoumoDPDGSQOXPo8UaNHFSElxZXJpYNHnlgb65ApQ66VqmlEZACSY00kwpzP+yCVBbof03LzmHSkRdcoIGHGJdFwDAQyP30OZvQyDyoBMJqPSWUmsLha7y06Np4aV+SvZVraNDHMGCfoEqpxVROuiidZGh7w2Y3QxxOhiGJYwLKgtyZBEkiEpbBqBUGp/DwyMFYMfQvfVogBLTU0NJpO01nDBggWcffbZyOVyxo4dS3a2qILSKVkPwkcXSA9ntXb8AP1Og9OfazzIUrIL3jpJGuGq9ft/YNp/YPRVbLPu5poF1wYk6/pi1xc8OuFRTkyZhKFwE3xwtnTjAWmkbeUrcMkX0OM4adrzIXa3nZ/2/8TDyx8O6IJJZeLJSU8yd+VcSuwlRGuiee+U9+hh6dHCD0UQIsBRCYVboFfz1k8X1RTi8rkjtkwsp40rCNXy6KLRVB4I2RaliUYhV5BnO8iAmPZ9mBqWFsWSncUcrLCTEhVcwUEQupTyHPjuZuneWWvXAkgdDRNuhuUvwvH3wBsnSAMaAHt/h1WvwoUfQ6+pIRNthuPyulhyYAl3LrkT/6ElfsvzlxOjjWHpgaUsPlDfjz/z/qR/dH9uGn4Tj618rG7793u/Z9bwWVwy4JKQSS8FocM4bdJg4y/31G/b+zssfRqu+gXiQucikp6Fp4P9sMpT6z+A8z8Ajx2+ui6wbLraCDO/h9Xvwtq3A8+VOAQu+VQq8Xwkrwey/4SPzq9PYr33d1j+P7j8G8gYF3K2TUF1AdcsuCagIuW8DfO4dsi1jE8Zzw2/3lBXxnl5/nI+2/kZT016ionJE9FrGk4oLQhC07UoB0vv3r35+uuvyc3N5ZdffmH6dClyWVRUJKYmdkZ+P2z5KjC4UmvH91CwqeHjHVb45e7A4Eqthfdx0FHCg8seCsqE7sfPI8sfodhdDp9fVR9cqeV1wxdXS1MqD1PiKOE/K/4T9FJV7ipe3fgq5/WVRqDKneX89+//YnOFLispCB0i92/A3+wKQrm1FYQiVKI5x6pEo/ARpWmbCkK13Loo1DXlwdc3oJDJidPW5mFpX0NSLchliHLNQvdw4O/A4EqtvNVQtg8m/xt+ubc+uFLL54UvrwVb86p5FduLuffPe+uCKyDN1FQr1AHBlVrby7eztXQrw+OHB2x/af1LFNeIa1DoZGyFsODe4O01ZfDjvw9V6TqCvQJ+uD0wuFJLoYRvZwcGV0Aqj/7NbIgNUdGucBNs/hJ8Ie7JtgL44prgCmFeV8jnZgCP18P87fMDgiu1kgxJ3PfXfXXBlVo+v48Hlz1IkSN8yWVBEJqvRQGWBx54gDvuuIMePXpw7LHHMm7cOECazTJixIg27aDQBqqLYc3b4dtXvS5NRQzHXga7w9eut7qr2V2xO2Sby+dif2U2KMOMIFcXwxEPX1tLtgZlM6+1oXgD/WL61f39z7w/qXBWhO+7ILS3nOWgiw49KtWA3KoDmFQmDI2UJW2pbKuKBH3bVRCq5dZFg9+HurokZHusLo4DVaFnuESSUaukd4KRxSLAInR1NWWw9t3w7Vu+knKuVOaGbndUQlVBs14yx5oT9GVsfMp4fs0O/yzwy/5fmJI+JWj70rylzXptQYi47GXBwZBa+34PHUSxl8P+EP+WddHSs+yRwc1ahZshJit025q3pOVCR7IVhu4DSDPSQwx4ljnK+Gr3VyEPidHGhB3osLltFNWIAIsgtKUWLRE699xzmThxIvn5+QwbVr8mb+rUqZx11llt1jmhjfh9IUeX63id0j5hj/eHvxEBvjDBkFpOr7PhhLpHROhdPleD5/Metr8fP76G+i4I7S1nuZT7oJmRjFxrTkSrSGVXKklowwpCtdx6qcSppqoAlzk4yXScLo5VBauQKgm1bzLJYWlR/LS5ALfXh0rRovEEQeh4Po80ch2Ox9ngPRqQlhw0Q6j7sEquwu0L/yzh8rmCEtsCQYEaQehwngYGFf3+4JkjEP45Wa5s+Pps6FiPK3RbqNcPaA++nv34cYd51m/sObmh61oQhOZr8RNnUlISI0aMQH5Y7owxY8bQv3//NumY0Ib0sTCwgcDX8EukpFvhaM2QGr58mkllJMmQFLJNLpNLSbNCTGcEpPWphsAlEYPjwpe2zbJkBUTaB8cNxqwWy9KETsLjkqbsxw9o9qE5thwSIhRg8fulJUJtnX8FwKfU4lXrw5ZqjtfF4fA4KLO3f8nkYelR2Jwe1mSHGQkUhK7AmACDzw7f3vdkKciiiw7drtQ2e0ZdT0vPoHLxqwtXc1xq+FLMk9Mm83fB30HbI5W4WxBaLHNC+Lbk4aCNCt6uMYculFBdLCWelYX5ShWVEX42yuBzpGf0IxkT6xNTH0kbBYbgZwWLxsKJmSeGPMTtcxOtCf37QSVXNasilyAIjRNDekcDhQqOuVL6hX2khEGQOb7h4/WxMOPZ0FnLh19CujaOe8bcgzzEzeWqQVcSrTTCKf8Nfe5T/gumwH7FamO5bMBlwW9DpmDW8FnM3zEfkG4K9x57L1GhboSC0BHyN0hfdBKal9DV5rJR7qggIUL5V4pqFDgiUEGollsXjSbMEoTanDIHbO2/TCgrzoBFp2LxDrFMSOjiek+D2N7B2y1p0pfFP5+FE8LUzJr2SJOrBdaK1cZyw7AbArbtq9xHjC6GvlHBCUDjdHFMSpsUtBzopB4nkWwIntkmCB3KlAQjLg/erlDBjGfAECroEQ8znpP2OVJVIRz3r+DtMrn0/LxncYjzJcLoq0Kfz5gI0x8L3g5w6tNgDB7U1Cq1XDPkmpCDjmsL1nLPsfcEbQe4afhNRKmjQr+WIAgt0qIlQkIXFJUJ1yyEv9+GLV9IUxpHXQlDzm3ayFbiILh+KSx9Rspsro+DCf+ErEmgNTEydhDvn/I+r254le3l20k2JHPloCsZHN2PaGMiDDgNYnrC4selLOxxfWDK3VKZ6CMCN2aNmWuGXsOopFG8vvF1iu3FDIsfxsxBM/luz3c4PA5mZM3g2qHXkmHKiNAHJggtkLtCWg4X26tZh+XYpNwJCboQQdA2EKkKQrU8umg01tCz1MxqE1qFhtyqXIbGB5d5jCS5TMawNAuLthfyf6eI2ZVCFxaTBZd8Dhs+hk2fSUsIBp0Fx1wFXh9Y0qF0N1w0Xyo7W7RNuudO+T9IGhp+NDwMvUrPhf0vZHDcYOZtmEd+dT4DYwbS09KT50+Yyw97f+S7vd/h8ro4MWMqF/S7ELlMzmk9T2Nl/kosGgtXDrqScSnjiNaGmVkjCB1FHwMnPgC9T4C/35DyEMb2gYm3StdNOMlDpWfhZS9Ks1J8Phh+MfQYDzIFpI2BP56EyjyprPKU/5POmzgI0kbBtu+kY3pMhNFXhi8JrdJKs1vi+sLiJ6BsjzQz9vi7pf+GqQiWbkpn/mnz+XDbh/yW8xs6pY6L+1/MCRknIPPLePfkd5m3cR57KvaQakzlmiHX0CeqD9HhZr8JgtAiMr+/sYW73Y/VasVisVBZWXn0VT3yuqXkWDIZ6OMDyiMHqSmTEm0VbgFdFMT1B60F3NUgV0nnqDwAxdvBkgpRmZT7Pdi8TjRyJQlKM5iOmMZorwRPDagMFPkcHKg6wMHqg2SYMkgxphCniwvYvcJRgcvnwqAyYFAZKHeU4/F5MKgM6FVdt6Rcqb2U/Op89lv3k6RPIt2UTqIhMl+uu5Iuf23OvxgqcuGkx5t12M/7f+HLXV9w66jbkEcgT8nnOwy8t8XEwxPKkEcgDYqxYAsx+/5kx4zHpd8NR/ho+0ckG1KCRsTbw/I9pbywaBd//d8JpIpyzS3W5a/Nzqq6RFpCW7RNmmUS2wtMqeHvzV43WPMAmTRbrmCTtMQ3vr8URJGrpS9f7mppaZAuGjxuqYpQ8Q4p4W3iYOm19DFN6mKFswKX14VeqceoNgLg8bgpqD4I+InTJaA9tMzY7rFjc9lQyBXEaAPP7/F5KKopYn/lfsqd5fSN7kucLq5DAzBOr5OSmhJ2VezC7rEzIGYAMdoYzJqu9W9cXJ8t4PNKCWNLdkF1kTTz1JwiJYxuSOUBsBVJyWuNiVIAJSqjPuhRUyblNlQbQSOVJ3d4HJTYS9hZth2310X/2IHE6uLqrqcG2SukEtAqvfQM3gQur4sKZwUKmXQdyg7LCVdcXUy1txqtXEtSiJkwbcHv91NQU0CONYcSewm9LL1I0CcQo2va7xxB6OrEDJajjUIlTY1sTFUh/HgHbPu2fpvaKI2OZRwrPRR+cbWUiV1tgPPegfmXEJ2/nrpHJWMiXP514HIJnQWwsK9yH9cvvJ786vpR715RvXjphJdINaXWbTty+U93GAnLt+Xzz9//ybaybXXb4nXxvDb9NXpHhZgCLnQNfj/krIDeoddANySnKocEXUJEgisgVRBK1HsjElwBcOtjpEpCtpKQiW7jdfHkVOVE5sUbMTTNgkIuY9H2Ii4bG2a0UBA6gjUfvroe9i2p36aLhku/kPJAyBXBxyhU0j13yX+lmSp129Vw9uvQZ7oUcNEe+pLtcUn36U8uBld1/f6DzoFT5oReOnyEKE1U0DalUkWaJfh60il16EJUDfT4PGwo3sCs32ZR7a7vx/Hpx3P/2PsjmuA7HLvHztIDS7l76d0BSX0v7HchNw67UXwZ7M58Xji4Dj44BxwV9dt7nQBnvgymMMvayrPh65ukmdy1dNHSs3HKKFCqggKXNreN37J/46HlD+E5lJxWhowrB1/JzEEzG3+u1UUBUc16e2qFOuyS43hDPPFE7nrz+X1sL9vO9QuvD6jyOSphFE9OelIMJgpHBZGDRQjm9cK69wKDKwAuG3xwthS9X/SY9NAGMPJy+PtNyF8fuL+tEN4/WxohOExxTTE3L7o5ILgCsKdiD/f9dR+Vzso2fkOdR5WrisdWPBYQXAEothdz4683Ulhd2EE9E1qtdI80O6yZ+VcAsiv31+UqiYT9EaogVMt96IEy3DKhBH0iRTWFuDqgmohBo6R/kolft4prS+hE3A744+nA4ApIyw7eOzPovhlgz++BwRWQqph8PjO4VLM1Dz46LzC4AtJS4fUfN16tpI0UVhdyw8IbAoIrAL/n/s78HfPxNLPKUVvIt+Vzx5I7giomzd8xn2X5y9q9P0I7subB+2cGBlcA9iyCP+eGLrnsqKpfJn84ezl8eB5Uhh5EyKvK476/7qsLroBU8eetzW+xoXhDq95GZ1RYXch1C68LCK4ArClaw//W/w+7x94xHROEdiQCLEIwWyEsfyl0m9cFe5dA4cb6bT2Og12/hN6/Kj/oga/UUUq2NTvk7qsLV1Pu6L4VP8od5fyR90fItoLqAgprxJfALitnOSCTpuo3g8vrorCmkERDZAIsPj/kRqiCUN1rKDV4NUa0YaqFJeoT8Pn9HZLoFmBkRjTL95RS42r/L3GCEFJ1Eax/P3Sb0yotzQ3FVgxLnw7d5vfD+g8Dt+3+LXwJ2WUvSEsd2sHaorU4vKFL43607SNKHCXt0o/DfbPnG/yEXiX/+sbXKbWXtnOPhHaTvwmcVaHb1r4b+rqwFcLG+aGPcVqhYHPQZo/Pw/ztYY4BXtv4GpWO7jWouK9yX9iB0u/3ft8hFQUFob2JAIsQzOcOX1IOoHwfaA5bB+rzSA924dgCK3hYndYGX77GU9OUXnZJdo897AMdQJlD3Hi6rJwVUnI8taFZhx2wHcDr95Goj8xa6NoKQkmGyAYXXPoY1GFmsMTp4pDLZORYO2aZ0MiMaFxeH0t3tf+XOEEIyeMMPUpe68iZKLV8bmlpUTile6R7cq2yveH3rSkN3DeCDlSFD67a3DbcPne79KOW1+cNO9ADUFRTFDDjQOhmwsw2AcBtD31tehu7ZoP/Pbm97gYHFopqioJmUHV1BTWhKwqCFHAKF2gVhO5EBFiEYCpt6HKQtdLHQs1hX1T8/oa/VMZkBfy1obXWSrkyZIm57sKoNqJVaMO2pxnT2rE3QpvKWdbs2SsA2dYc5DJZUILntpJdeaiCUASXCAG49bFowyxrUMqVxGrjyO6gPCxJFi1p0TqxTEjoPNR6MDSQByFpaOjtKj2kDA9/XM/jpSqBtTInhN83vp+UCLcdDGuggliaMa3B+2IkKOQKxiWPC9s+MHZgyFwyQjeR3EBFO1OSdH0eSaVruNx58vCgTRqlhmOSjgl7yOC4wV26YEMofaL7hG2L0kRhUDVvEEoQuiIRYBGCGRNh+qOh2yzp0o1p1JX12zZ9BqOvDr1/j+OCkujFaGOYmj415O4X9bsoYl80O4N4XTxXDLoiZNu4lHHE6mLbuUdCm7AVSSPFiS3Iv2LdT5wuHpU8MjnH91tVaBU+LBpfRM5fy62PRWmvRO4OPQMt0ZBIduX+iPahISMzovl1WyFe31FXOE/ojIzJcMJ9odsSBoUv36qLgqkPSlX8gtqioc+0wG0pw8CcGrwvwLT/gLF9ksv2iupFmin0AMJto27rkCS3E9MmYtEEV2WRIeOfI//Z5SoJCc0Q01MKMIZywgOhk9xaMmDSXaGPSRgIUcHXrFwm59SsU0MGFRQyBTcOu7HbBRySDckMjA39LHTTsJuI17X/tS4I7U0EWITQMsbD2W/UR+tlMuh5AlzxnVSSefC5cPIToI2C7d+DJQ0m3Qm1DyRyJQy7CM5+LajknUVj4d6x93J+3/NRHSrpqlPquG7odVw15Cq07TSi1hHUCjUX97+Y2cNn191UlXIlZ/Y+k0cnPNotqiQdlXJWSP9NGNTsQ/dbs0mMcILbRIM35PextuQyNJzoNkmfKC2H6qBp96MzoymvcbMmu/vmeBK6ELkcBpwBM56VAiMAMjkMOB0u/qThan8J/eHiz6TSsLXSxsCVPwduA+nePPMHaWZLLVMSnPMWpB/bdu+nEYmGRF6f9jrHpR6H7FC1tFhtLP+Z8B+OTW6/fhwuxZDCuye/GzC7JsWQwktTXxIV/bo7UxJc8jn0myFddyBV/zntOeh3SugApkIJ/WfASXMCr9l+M+DCD8MGRVOM0r+zw4MOGaYMXpv2Gj3MPdr4jXW8OF0cc6fM5aTMk1DIpEpoZrWZfx/zb07OOhlFqOpogtDNyPz+hpJnRNacOXP48ssv2b59OzqdjvHjx/Pkk0/Sr1+YqDKwePFijj/++KDt27Zto3//pk3Pt1qtWCwWKisrMZu79ghFuaOcSmclPr8Pk9oUPApkKwJ7BciQbggNTUk+ktcjrVN1VoFCIx3v84GzEpQavPpYipxlVLtr0Cg0xGijMThrwFUlTaU0xDe4dMjhcVBiL8HhcaBX6YnXxaNSqOraq+3llDnKcHqdGFQGEgzJKJTqJne/0llJhaMCj9+DSW0KW7KuI7i9bortxdS4a9AqtcTqYsV0ZLrwtfnz3bD5SzjnjWYd5vF5uPG3mzg+bQojE0dGpGs3LIgnQe/hnL7Vje/cGn4f6SvfoGjQ6VRkHRfUnGfL44NtH/LQuAfJMLd/uWSf38/sj9Zy9sg07j+t+TONjnZd9tpsLx4nVBWAu0ZaxmNKbNryG68XbPnSfVaplQYkNKbw+1eXgL0MVAbpNV02aUBDFw0hSqTXsVdIOVf8fsrVWir8bvx+P2a1mTh9A7NGXTVSQl6vh1KNngqvHZfXhVFlJNmYjLKZM++qXFWUO8qlc6iNJOgTkMvklNhLsDqtyGVyLBpLuw42VDgqqHBW4PV7O92zQlOJ67OFnFXSNeVxSAOEpqT68ugVuVCbgFYXJQUrQSp9XpkrXXtKLejjwHBo9rGrGqqLpTwuaqN0vkPPtWGf1/1+qSCEwyqVW9fHgi54ZtWRKp2VVDgr8PiCn3GLaoqoclWhlCuJUkdh0Urnq3v29NSgVWiJ08XVDWrWXZs+FyaV1D+5rOXj8DXuGkodpTg9TgxqAwm6BBFcEY4akZmT3kRLlixh1qxZHHPMMXg8Hu69916mT5/O1q1bMRganjK3Y8eOgJtIfPzRNeXM5/exp2IP9/91P1tKpWoDGaYMHhz3IEPjh6KVyeHgBvh2NhRvlw5KHAxn/A+ShkiR+IbYK6TqA7/cLWVOr53BMv5m+PpGysfewE9GAy9tfQery4pCpmBa5jT+NfpfJEUNaNJ70Cq1YacMF1hzeWbNcyzMXYTX78WsNnPT4Ks5NesUoo0NPEQCfr+ffZX7eGDZA3Ul8FKNqdw/9n5GJI5Ar+z49a4qhYoUY0pHd0NoK9l/QULT/t0f7oAtD4/PQ6IhsfGdW8DjkyoIDYtvh/LIMrmUh6UyL2RzvD4BuUzGPuu+DgmwyGUyRmXG8NPmfO6bMQBZpKf0CEePqkJY9iKsfkP6YqXUSstmJ9zS8EwUAIWi/otbQ7weKNws3dNj+0Df6fD7HKg4lFgzbQz8438Q1zfM8qEovBoTuyp28cCS29lWtg2ALHMWD45/kMFxg9EoNIHHWA/CosegaCv7z32VOSseZvnB5fjxE6eL458j/smE1AnNWt5jUpswqesDSA6Pg80lm3lo+UN1SWcHxg7kkfGP0Ce6T6u+4DVVlDaKKG1UxF9H6IQ0puCAprMGCjbAD7dBkXSdkDhImm2WNAzUOojtFXwu60H47RFp2bzPIwVsjvsXjLgEDPFEa6ODA4f2Cqk09C93SwFagF5TYcYzQfkLD7e/cj8PL3+Y1YWrAUgyJHHvsfcyLG4YW0q38OiKRzlYLeVEGxE/gofGP4RFY2H+9vm8u/Vd7B47KrmKs/qcxfVDr8fldTFn5RyW5i3Fj59YbSx3jL6DSWmTWrxUTq/Sd7v8MoLQVB06g+VIxcXFJCQksGTJEiZNmhRyn9oZLOXl5URFRbXodbpDpP9A1QHO++48bG5bwHaFTMEnp31CP58CXhkXXJ5RpYMb/mw4iS3Ajp/h4wuCt0dl4D3jRT6t3MbjG18Oah4UO4iXpr7UqlwipVV5zF58O5vLtga13TPqX5zf/+IGZ7Lk2fK44PsLgsrEyZDx4YwPGRI3pMV9EyKrS16bzip4IgPG3gR9T27WoYsPLOb9re9z68hb65bLtaX9lUpuWJDA9cMq6BkV+aU5MXsWo3JUsn/yv0K2v7PlHfrF9GfmoJkR70som/MqeezHbXw3eyJD0hofIRTqdclrsz04q+Dne2Dde8Ftwy+FU55oeEZKU5XthVcmSMk3T5sLn14WXL1PHwPXLQleJnRIblUu53x7DnaPPWC7Uqbks9M/o3f0Yc8FNaXw+VWwdzG5s5Zx7R//Is8WHDx9ZvIzTO8xvcVva2f5Ts7/7ny8/sAk3AaVgc9O/4x0U3qLz300EddnGyrcCq9PCa4YpNTCdYtDD6ZUl8BnM2H/0uC2qQ9Kg5OKEPf4nQvgo/OCt1vS4apfpCX5R8i35XPRDxdR6ggsIx6rjeWZKc9w5c9XBlWrvKDvBagVat7fFlwafmrGVIbFD+PZNc8Gtc2dMpepmaFzJgqCEF6nysFSWSl9IY6JiWl03xEjRpCcnMzUqVP5/fffI921TsXv97Ng/4Kg4AqA1+/llQ2vUJ23Oji4AtLo2uq3wdtASURbISwMk3yvIocifRQv7/goZPOW0i3kVzdQQrIJ8msKQwZXAF7e/CZFjZx/6YGlQcEVAD9+Xlj7AlZXw2WiBaFZcleB3yeNcDXT/sraBLdtH1yRzi/NVEsyRLaCUC2XPg51VaFUSjaEJEMSeyv2tEtfQhmQbMasVfLDptb9jhKEOrZiWP9B6LYNH0nLdFvL64E170nLj4ZdDKteCw6uANSUwa6FoU/h8/Ltnm+DgisAHr+HNza9EdhWVQh7F0PyMHZU54UMrgC8uO7FsG2NqXHX8NqG14KCKwDV7mp+3PsjPn9kk3MLQgCXDVa+Erocs8cBK1+Tls0dqaogdHAF4M9n62enHM5WBAvuDX1MZS4UbArZtLpwdVBwBeDM3mfyv3X/CwquAIxPHc/8HfNDnu+3nN/C5hx6Zs0zFNcUh+6jIAhhdZoAi9/v5/bbb2fixIkMHjw47H7Jycm89tprfPHFF3z55Zf069ePqVOn8scff4Q9xul0YrVaA366MqfXyYqCFWHbNxZvpLqh2e/Zy6RRt3DcDijZFba5xl1DhbMibPuu8vDHNsWu0h1h2yqcFdS4w+eS8Pg8LM9fHrZ9S8kW7O7gB0yhY3SLazNnuZTs2dz8Etv7KveTqI/M8iCA/ZUqLBovelX7TFR0GeOR+bxoqkKXQ042pHCw+iAOb8dcgwq5jNE9Yvhh40E60eTNTqlbXJvtwV4mBVhD8fuk9tZy2SD7T+nP8X3h4Prw++5ZJC1POLKbHjt/F/wd9rANJRuodh12by3fJ/03czzrDi21DWW/dT+uUIM5TVDtrmZDSfhzrypYhcPjaNG5uztxfUaIvRLy1oZvP7gG7CESpZc2MHDgrAJniP8/HgeU7Ax/XPZfITcvO7gs5PYsS1ZdyoCgl/J5cIcZ+AAod5aHLJWeW5WLwyuuQUFork4TYJk9ezYbN27k448/bnC/fv36ce211zJy5EjGjRvHyy+/zIwZM3j66afDHjNnzhwsFkvdT3p6155yqpKrSDeGfw/x+njUvgZGrM1poGog+Z5cVZ8hPQSNUttgYrvWfmFMNIZfs66UK9E0kAxWKVeSYQo9PRqkzyZSswWE5usW1+b+v6TZK83M6eHyusizHSDZ0HBOodbYW6Fqt9krIJVqRiYLm4clxZiC71COpI4ytmcsueV2Nh4InuUm1OsW12Z7UBtb194USk39sp+asoaT2cb0lJLeHtkNhZpUY5hyzUCCLgG14rClt7UJ8StySDWEzxdmVptRylqWzk+tUDf4vJBqTA3sk1BHXJ8RotKFLtFcy5QsLdM7krGBxMgyuXTeI9Umpw4nTA6WcJWHyp3lYa8nVajlSYcxqUw4vcGzdowqo3hmFoQW6BQBlptvvplvv/2W33//nbS05o8Cjx07ll27ws+auPvuu6msrKz7yc3NbU13O5xCruCCfiHyoxxy/dDriYoLX4mJCTdLVQ7CMSZK+SRCvriaWL+M0zKmhWy2aCxkWcIn5mqKLEtPLJrQ+RFmZE4nVtvwErIze59ZVwbySNcOvZYYXeNL0IT20eWvTbcD8lZDQvOr0uRU5eD1+0hpJGlza+ytVJFsaL+yyH6FEpcuBm1F6P+PsboYtAoNezpwmdDAZDMWnYrvNhzssD50BV3+2mwvhlhIHha6LWmIVGGktVQ6GDtL+vPGT2DkFaH3k8lgxKUhm9QKNZcMuCTsS1w39LrAZJaWNDCnwPYfGJc4GrU8dKDjgn4XtDhJt0Vj4boh14Vtv3jAxc2uUnS0ENdnhOhjYPzs8O3jZoUOikRnhk9o3W9G6AqehkQYd3PoYxRqqbBECCf1qC9/fLjv93zP5QMvD3nM1pKtjE4cHbItw5RBqaM05NKiiwdcTJy2DX6HCcJRpkMDLH6/n9mzZ/Pll1+yaNEisrJa9sV83bp1JCeH/5Ki0Wgwm80BP11dqimV/0z4T8DDhwwZMwfNZETCCCnD+dQHpMh5LbkCTnpcqjLQEIVCeoDrf3rgdrUBznwF3W+PMCt1KiPjAh8qLRoLr534WqsroiQaU3nthJeI0kQFbB8RN4ybR9yMTttwcspkYzL/nfTfoKj7Bf0uYHzy+Fb1TWhbXf7arM11lNT8xMn7KvehlCuJ00Xm4aXKJaPEriDZ2H4BFgC3IQ5teeiHfTlykg0p7Crf3a59OpxCLuPYrBi+3XAQr08sEwqny1+b7cUQD+e9I80cOVx0Fpz3LhjbqMJhbG845b9SVUC5EoZdFNiuUMM5bzVYkSjDlMH9Y+8PmHEiQ8b1Q69nUOwROaTMKXDJF2BMJOnvt3jh+OfQHTF7dFLaJM7te26rZpkMiR/C1YOvDhgUUcqUPDz+YdKMzR9wO1qI6zOC4vrBlHsCn59lcjjh/vDPz+YUuPTL4EBKyojwia4VCqnC0IAzArer9HDJZ9I5Q0gyJPHclOeCgp4DYgcwMXUi5/UNTJqrlqsZEDuARyY8Qq+owOpHifpEXjzhRfpG9Q2qsDklbQoX9rsQZWNVRwVBCNKhVYRuuukmPvroI7755hv69aufcWGxWNDppBv53XffTV5eHu+9J2Xonzt3Lj169GDQoEG4XC4++OADnnjiCb744gvOPvvsJr1ud8m27vA4KLGXsKNsGy6viwGxg4jVxdaXQHTaoLoI8jcAckgeIs1OUTdcArtOTRlY86VydfpY6abjdUH+ejAkUhbfk0J3Fbsr9pCgTyDDlEGiIbFNyir6vB4KbQfIseZQVFNI7+i+JOriiTE1rbRx7Wezq2IXdredAbEDiNXGtrjcnNA+uty1ufhJWP4iXPBh4MNYE8zb+CoHqg5waQOjyq2xsVjNXYvjuH10OYntuEzImL+J6Ozl7Dz1MWm54RGWHVzG34Wr+d8JLyIPMQrXHnYWVvHgt1v46JpjGd9bjM41RZe7NttbVQFU5EjVfmKypCU9Ry418HmhpgT8SDNbFI38+68pB69TWmbkdkBtLoSD66UvchqTVLpZY5Jm0RkTG17+C9jddkodpWwv247H56m7NxrDLWWqzIPy/ThlcvItSeyt3Ee5s7zuuLYoMW9z2Sh1lLK1dCsquYr+Mf2J1caiC7WsQghJXJ+tYD0oJbXVRYMuStpWXQr2Uji4QZoZljwMdDHSjLWGVOZJ+YsqD0B8PzCnNrx8CKRnbVuhlNRWFy0dZ0wGZfilOS6vi+KaYnZX7KbaXS1dM7pYLBoLVqeVUkcp20q3oVfp6RPVhzh9HBqFhhJ7CQdtB8m2ZpNiTCHNmEaiIRGPz0NRTRH7Dl3f/aL7EaeLCy4rLQhCk3RoWPKVV14BYMqUKQHb3377bWbOnAlAfn4+OTk5dW0ul4s77riDvLw8dDodgwYN4ocffuDUU09tr253GtqaMtK2fEPa1m8BH2RMgNFXQm2ARWOUfo4cWWsKj1P6hb/8f1C6CxQaGHoe9DoBhp4PQMyhnwGxzV8e0Ri5QkmypQfJlh4tOl6r1JJmSiPNJEbAhAjav1T6YtOCoOKeit1kmVu3nK4heytUKOV+4vTtF1wBcBkTkPm8aK35OEKUi003Z7A0708OVB0gw5zZrn2r1SfBSJJZy5fr8kSARWgbpiTpJ31M6PbKPNjwMaz/UEp+O+wiGH4JRIXInVFdCgdWwR9PQVU+pIyE0VfBps+lAMq42RDdQ5qVmti8+69OpSNN1Yx7oyUVLKlogB5Aj6i2/51lVBsxqo1kdtDvA+EoVXkA9v8JK16RBiPTx8Jx/5ICpJ4a2PwV7PlN2rfPdBh2YePnPHS9NIs+RvoJVf45DLVCTaoplVRT8GuZNWbMGnPI5fpxujjidHEMjR8asF0pV5JiTCHF2LRBTEEQGtahAZamTJ555513Av5+1113cdddd0WoR12I9SB8dKE0u6RW7irY8CFc/au0HrQ1irfDWydLZSFrZf8JfU+BGU83OA1ZEI4KbgfkrgyfD6EBla5KSuyljE+ZEIGOSfZUSPlXFM3LvdtqbkMsfpkcbXluyABLsj4JpVzBjvIdHRZgkclkTOgdx4+b8nnkH4PQq8UUaCGCKvPg3dOk2S21Fs+B9R/BlT8G3k8dVmlg489n67dZD8LOn+Ds12HxE7DxU7h2kTTSLQhC81nz4ffHpGuw1pYvYfv3MPMHWPiAVCGwVu5KKTh6xXfi+VcQhEZ1iiS3Qgsc+DswuFLLVgR/vwne8OXYGlVVJN1cDg+u1Nr5kxT1F4Sj3YFVh/KvDG183yPsqZC+aDVU1aO1dpWrSDa27+wVAL9cidsQj7YiO2S7NFKWytbSbe3cs0CT+sRR4/Ly06aCDu2H0M35/bDjp8DgSq2KbNjyFfgOK/NcXQx/PRe8r88rfSEcc51Utvm3R6RlwIIgNF91cWBwpZbXBT/eCX1CFHIo2ws7fpSuaUEQhAaIAEtX5HbAuvfDt2/5AmpKW35+lxX2LQnfvuOHlp9bELqLvUtAa2nRbLHdFbsxq031+ZLamMsLuVYlKe2c4Lbu9Y3x6MpDB1gAMk0Z7Cjfgdff/gGgWglmLYNSzHzyt6i+IUSQowI2fhy+feMnYC+v/3v+hvBf4Er31Odz2PmTdG5BEJqvoWfc/PVSUulQ1n8ceL0KgiCEIAIsXZFMLuVECUehhjBlipv4AtBQ8klFw0n0BOGosHexNHulBflXdpXvJNWY2qqrtCHZVhVev6zDAixOUyJqWwlyV3XI9kxzDxweB/sq97VzzwId3y+BVfvL2FMsZgIIESJTHLonh6FQg1we+PcGz3doX7mK1t3nBeEo1tTr7EhKdcPPx4IgCIgAS9ekVMMx14RvHzkzuFRcc+higks0H27AaS0/tyB0Bw4rHFwnVRZoJpfPzX5rdkSXB+0uVyHDT7KhowIsSQBhZ7EkG5PQKrVsKtnUnt0KMiYrBpNWyccrcxrfWRBaQmuGY64N337MtVLlkFpJg0ERpnpIyggo2Sn9eeiFUnU/QRCaL2uSVB0olJ5TpGX4oRxzLegsEeuWIAjdgwiwdFWJg2DAGSG2D5aq/chb8b9WHw0n3CtVRDjSuNlSKUhBOJrtXwp+LyQPb/ah+yr34fF5Ilrhale5ikSDF3UHDbR5NCa8an3YAIscOVnmHmwq3tjOPQukUsiZ3DeeT1fnYnd13HIloZvLHA89JgVvTx8rfZk7nCEBTns+eF+NCabcDX+/ISXZPO72RksyC4IQhiEBpj4YvF0fAyfNkQo9HKnHROgRucT0giB0H6J0QldlTIAZz0ilG1e9JpVVHnEpZIwDc3Lrzx/XB678Cbb/CLsXSiNsx1wjlXwOFXgRhKPJnkVgTmnRtbCjbAdahYZ4fUIEOibZWaYitYOWBwEgk+EyJqErDb8EqFdUL77f+wMVznKiNNFh94u0Ewck8sPGfL5Zn8eFY4KrHglCq5mS4JzXoWAzZP8lbcs4VpoBZzrifq3Ww8AzIHkorHpdSoSbOR6yJsOGT2Dy/0HvqaKSiSC0hiEWhl4EmRNg92/gdUrXYu8TIToLTn9emqW6+i1ABqOvhpTh4vlXEIQmEQGWDmR3eymodLBwawF55XYm9Y1nUIqFJEsTR6WMCdJP5nhpNN3tgMocWDlP+vvAMyG6BxjiWtZBlQ56nQApI6Upy4ZY0Jhbdq7mcjug6iDs+BnK90kPlykjwBK5ZRWC0GS7f23R7BWAHeU7SDOlIY9Q/gSXF/ZVqjitV+j8J+3FYU4iKvdv8HlAHnyr6RnVC7lMxvqi9UxJP74DeihJNGsZmRHNW3/t44Jj0pGFmzYuREyNy0Oh1cGCLYUcrLAzuW88A1PMJFl0Hd21tqNQSfdiv0/6MSQcyqMSgsYESUOkQRSvC5Q66TpKGioFYACqCqFsD2z7Ttp/4JlS0FcXFXw+p00q9bztW7AVQ7+TIaF/cHBHEJrJ4/VxsNLB0p3F7CysYmRmNKMzo0mN1nd01xqnNYM7FtQGqCiD9EzpuVcul66NfsnQ8wRp36bMFnNVSyXZd/0iJaTOGAvpY6SBSUEQjioiwNJBHG4vS3YUc9OHa/AdKhjw7vJsMmL0fHTNsaTFNOPmpNRAdQks+g+sebt++7IXYeBZcOp/6ysPNFXlAfjwPCjaGrj9Hy9JD3IaY/PO1xwel7QE4+MLpYdKkGbpWNLgiu8hJityry0IjSndA+X7YcRlzT7U4/Owu3wX41MjN814f6WU4DbN1IEzWACnORmZ1422Ig9HTHClJZ1CS4Ypk78L/u7QAAvAqUOSePSHbfyxq4TJfVuRv0poNrvby+/bi7n547UB98KsOAPvXz2GtK7wRa0xtmL47eHA6n/LXoAh58FJj4e/PytU9flY5GrgUGLOqnz44lrpPllryZMw5R449vrAIIuzCjZ/Ad/9s37bqnnScuKLPxWDFkKLeX1+1udWcOmbK3G4pVLj7y7PJsag5pPrxtInMTJV8tqE2w57foVPr5ACngB/vybNXrn8W4g+NJuxqcvw3E7IXg7zL5KCoiA9j5uS4LKvIWFAm78FQRA6L5GDpYMUVTmZ/VH9A2WtnLIa5vy0nWpnM78cFWwODK7U2voVZC9r3rk8TvhzbnBwBeDb2VBV0LzzNVdVPnxyaX1wpVblAfjpTinBqCB0lF0LpRkZSUObfeieyr24fG4yTZFbirKjTIVC5ie5I5cIAS5DHD6FCn3Z7rD79I/pz47yHVS6KtuxZ8EGJJvpGWdg3uI9HdqPo1GR1cEt89cF3Qv3lVTz9IId1Lg69t9xmyjYEBhcqbXps/DJNMPx+WDzl4HBlVqLH5eCv4eryg8MrtQq3AzL/ycNaAhCCxRaHVz73uq64EqtsmoXt8xfR6nN2UE9a4KqAvjsyvrgSq3yffDrA9JslOawHoDPZ9YHVw5/ne9vBWuEn5sFQehURIClg6zLKcdz5BPlIT9vKaCsuhkPPa5qWPFS+PblL4K9vOnnqy6G9R+EbvP7YefPTT9XSxRuAY8jdNvuX6GmJLKvLwgN2fmLNH1f1fzlC9tKt6FTakkwRC5R9PYyNSlGD6qO/u0uk+M0JaErCR+06BvdBxlyVuWvbMeOBZPJZJw+LIXle0tZl9OM35VCq63aV4Y3zL3w+w35lNq6eADAaYNl/wvfvuxFsDcjwFhdJC0DDmfNu9J9utb2H8Pvu/Zd6X4vCC1QYHVQXuMO2bYtv6p5z7Ht7cCq4EG8Wtu+bf51Ubpbmi0WSs4KsJc273yCIHRpHf0IftQqb+DG4/X5cXt9YduDD/CAoyJ8u8MK3tA3wZB8Pmn6ZDg1Eb5RNBQM8vub914EoS05bZD9J6SObtHhW0o3k2HKiFj+FYBtpWrSzZ1j1N9pTkVfug98oSv06JQ6ekf15o8DS4HQX7Lby5geMaRG6Xj+t10d2o+jTXlN+Huhx+cPG3zpMrwucDQQQHFawdec+7O34fPVFAeOylc3MCDhqg4ewReEJqppZKa1y9OJ/23VNPCc6fOGD76E09A1CdLMcEEQjhoiwNJBRvUIXzUjK86ASduM9DgaE/Q/LXx735OlKkBNPp8BUkeGb+99YtPP1RIpw8O3WdKkxGSC0BH2/CZ9YUo/ttmHVntq2Fe5jx6WHm3fr0OsThkHbUoyOjj/Si2HJRW514W24kDYfYbFDyXPlseu8o4NbMjlMs4akcriHcViFks7OjYrNmxbnwQjxubcCzsjrQX6zwjf3vcU0EY1/Xy6qPrEm6EMOhvkh9Vn7zs9/L7px0oJPgWhBdKi9cjDjBWYNEqiDOr27VBzZIwN3xbbG9TNfM5MHBS+zRAfOvm0IAjdlgiwdJAUiy5sMsWHzxhEvKmJibVAyng+6KzQifK0UVIpZ0WYagWh6GPhlP+CLMQ/j9TR0s0nkkzJMOCM0G0nPykqHwgdZ/uPENWjRaUat5Vuxev3kWWJXJLmbWXSA22GuXPM8nIZ4/Ap1OhLdobdJ9OSSaw2hl+yF7Rjz0Ib1zOW9Ggd//15B35/F5850UWkRuuY0Ds4yCKTwcP/GEScUdMBvWpDcgUMPT90NT9dNIy8DBTNCCKpDTDl/0AZ4hkhpmdw8Deur1SBL1S/Tp4D+pimv7YgHCbWqObycT1Ctv37lP4kmDrxtWtJhV5TQ7ed8hSYmlkYQh8jJa0O5cSHwBK5vGuCIHQ+IsDSQWKNGp46dyh3TO9LlF4KfgxJtfDp9WMZldGM2Sa1ojLgqgUw9EIpmCJXSNV+rvlVKtXcXImD4OpfIf1QlF9jhom3wwXvgyly+SMA6UZ16tNw4iP1D6VJQ6TM7lmTIvvaghCO1w07foKM5s9eAdhQtIF4XRwWtaWNO1ZvS4kas9pLjLaTTM2WyXFaUjAUh5+dIkfO6KRjWFe4ljxb+Jku7UEul3H+Meks31vKkp0iN0V7iDNqePb84dx6Yh8sOuleOCzNwmfXj2N4WlTHdq6tRGXA1QthyPlSgmy5Upppcs2vEBVcYatRMb3g2kXSbFKZTMoHNfoa6R55ZFUgUxJc+BFMuFWa7QqQOUG6vyc0MOouCI0waVXMPqE3j581mCSzFPDrGWfg1ctGcdrQZFSKTvwVwxAPZ74Mx99bP8M7ZQRc+ZNUWrm5TMlSIOXEh8F46Bk5YQBc8CH0mda8IKogCF2ezH8UDtNZrVYsFguVlZWYzR273MTr9VFsc+H1+9Gp5MQYWhnxd9WAvUz6szaq9eWUa8rAXSPNZjHEN28mzBEqbIWUOSuwuioxayzEqKOIMh4WrKkukRKLOaukIIs+Adw2aT2sShd6BFDoVjrTtRlk92/wwdlw+gvSSHEz+PBz6++3MjB2IFPSJkeog/CvRbHI5XDpwDDJ9jqAMX8z0dnL2HXyI/hDjboDXr+XNza9Qaa5B/8cGaLiSTvy+/3854dtuLw+fv7ncSg785eEdhTpa1O6Fzrx+kGnUhDTmZcXtJSruj7HmC66dctz3A6oOgi2IpCrpC915hRpRmsoXrd0f/V5Ab+UWNfrlGa+GpNA2fjnXVRTRJmjDKfHSawulhhtDHpVNyij3Q105L3T7/dTVOXE4/OjVsiaNwO7o1WXSM/MPh8oNWBIkJbJt5TXI1UU8nlBoYao9EYPsTsqKHWUUWovQ6NQE6ONJsHc+HGCIHReIqTawRQKOUmWNrwZqfXST1vRxwCtn0JcYM3lvmUPsLJwdd22YxNH85/xj5BkToeyffDp5VCwsf6ggWfBKU9AVEqrX18QWm3LV2BKgejmL/HZU7GbKlcVvaMit7zO5YWd5WpOzmpmeckIc0SlIdvnxVCyB1tS6BFzhUzBpLTJfLvnWzYWb2Bo/LB27mU9mUzGpWMzuferTby/IpsrJ0RuSZdQT7oXNr8yV5eiNrRNzhN7OWz4GH59uL7iniEezn8P0kZLX+yOpFBJQZ19S+Gr6+oDPWojnPqUlMctTH4zv9/PzvKd3LLoFg5WHwRAKVNy+cDLuWLQFcToxDKjo5lMJiPR3IWCKrWKd8D8i6UKQCANJI66Cqb8O/SS+6ZQKJs1a7zMls8H2z7g7W0f4fFLudOSDcm8MPlp+sYMRC5mvghClySG5oSIq7QV8cDyhwOCKwArC1dz//KHqLQegI/ODwyuAGz9Cn5/XJqVIwgdyeOCbd9Bj4nSlPxmWlO4BqPKSIoxcsHCHWVq3D4ZWZbOkX+llkdrwaOzYCja1uB+/WP60dOSxdtb3qHS1YyytRGQFWdg6oAEnlmwk0JrmJLxgtBRDqyGn++uD66ANDvl/TOhgYTSVOTA/AsDK/W5bPD1jVC8Pexh+dX5XPXLVXXBFQCP38NbW97i15xfRb4ioeupPADvnl4fXAGpotbqN6RS597IJ4r3+3wsyvmd17e+VxdcgUPX28IbyK/q2CWzgiC0nAiwCBFX5ipnecHKkG0rClZR5q6CcEkwN3wE1UUR7J0gNMGe36RS6C3IAeTDz98Fq+kT3Sei5Zk3FKnRKX0kG0OXRO4wMhn2qAwMhdtoqBSzDBmnZJ2C1+fl+TXPY/d0bGD1gtEZKOQyHvxmc4f2QxAC1JTC74+FbvM4YfPnodu8blj1etiS6Sz5r7Q8N4QNxRuwuqwh2+ZtmEexXeQrErqY4h1gKwzdtvxFsBVEvgu2POZteStkW5W7inWFayLeB0EQIkMEWISIq3I1nA+iytnAaLXXLY2wCUJH2jBfWhrUgoTReyp2U+YoY0BM/7bv12HWF2noGeUOWzazIzmiM1HZK1BbG35oNaqMnNP3HApqCnh85RwO2vLaqYch+qJVcsW4Hvy8pZDvNx5s/ABBaA8eZ+Co+5HyN4AvxOi72w6FDQQLS3eFnS26o2xH2MOK7cW4vZ1r1pwgNKqBGVs4KqUcRxHm9nkorAkT5AF2lIevvicIQucmAixCxJnUDSdcM2miwjcq1NIacUHoKPZy2PEj9Dq+RYcvP7gcs9pEqimtjTtWz+GRsb1MTa9OtjyolsOcgk+hwljQ+GyQJH0iF/e/GIfHzgPLHuStzW+xo2wHXn/7z8wZ2zOGsT1juPerzWKpkNA5KLUQ1yd8e+ooqUrRkVQ6SGogt1F8/7D52wbEDgh7WKI+EVUrkt8LQodICP9vGl00qCKfU0YtV5JkSArbPjDCgzKCIESOCLAIERejieK4lPEh245LGU+sygQJA0MfPOLy+pJ3gtARNn0uTavv2fwAi8vrYkX+SgbFDY7o8qBNxWo8Phm9oztngMUvV+CIysCU37TlNvG6OGYOmsnktElsLN7Ik38/yc2Lbub5tXNZmL2QMntphHsskclkXDkhC7kMbvtkPV6fyDUhdDB9DJxwf+g2lQ4GnRm6TaGCY64KHXwBmHRXfRnnIwyJG4JFE7q8/E3DbyJeF99IpwWhk4nrJ1XdCmXCrWBMjngX4s3pzB58bcg2s9rMsMSREe+DIAiRIQIsQsRZDAk8cOx9TE6dGLB9UsoEHjj2PszmVLhoPqSNqW+UyWHYxTD5TumhURA6gt8Pa96G9DHSqFYz/V24GrvHzpDYwRHoXL3VBRqitV4S9J0s/8phamKz0FYeQHl4gs0GKOVKxiSN4fph13HpgEsZnTiaCmcFn+78lDv+uJO5a55jv3VfhHsNZq2Km6b0ZvmeUv63qIGlGYLQXlJGwGnPBc7uNKfC5d+AJSP8cVGZcMkXUsWhWtooOOctiO8b9rBkQzJvn/Q2Pcw96rap5WpuHHYjU9KnIGtB4m9B6FCWVLj828DBPYUKxt0Mwy8GhaJdujEp9ThmD7kOtby+8lemOZO3p71GskmUahaErkrmPwrTv1utViwWC5WVlZjNDS9fEdqOtbqIMmcFNlcVRrWJGE0UZsNhpfCqS6GmRMq5oo0GY3zYETWhe+p012bOSnhrOkx9SCp/2kyPLH8U8HN+v/PbvGuHu/qnBFJNbs7p27lKNB9O7nGRuvodigfMoLzX5Bafx+l1sqNsB38X/E2po5STepzMOX3ORhFuZL6NfLH2AF+sOcBbVx7D8f1aWMKzC+t01+bRzuOSEnFWl0hfDPVxYG7CqLvPB1X50r3W7wNDnDRa34RysCX2EsocZTi9TqI10cTp4tAqu2B53m5IXJ8tZCuSEke77aCLkcozh1kqFylOp40SezHlznLUcjXRmijizZFbUiwIQuSJAutCuzEbEgIDKkcyxEo/gtBZrHoNTCmQ2vypursrdrPPuo+z+5wdgY7Vy61SkGdTMjWzc5cz9ynVOKLSMeWta1WARaPQMDR+KIPiBrO68G8WZi9kf+U+bh55Czpl5Ga7nTUilb3FNm75aB1fz55Ar3iRG0roQEo1RGVIP80hl0uj95bUZr9knC6OOF1cs48ThE7LmCD9dCCNxkiqxkgqWR3aD0EQ2o5YIiQIghBKZR5s/RoGnCYtWWumH/b+SKw2ll5Rvdq+b4dZkadDJffTJ9oV0ddpC9VxvdFV5KKqaX0OFYVMzrFJx3JB/wvYX5XN038/jcNrb4NehiaXyZh1fG8sehVXvf03ZdWd//MWBEEQBEEQ2pcIsAiCIISy4mWpYkfvE5t9aLY1m/XF6xmbfGxEk9sC/JWnpW+MC3X7LBlvFXt0Fj6FCnPumjY7Z7oxjQv6ns/B6jz+t+4lvP4QJWrbiF6t5M7p/aiwu7n63b+xuzpvzhtBEARBEASh/YkAiyAIwpFqyqTktv1OBVXz12N/tvNzYrQxDIwNUx2rjRRWK9hepmZwXNeYTeFXKKmJ7Yk592/A12bnTTIkcVbvs9hetp1Ptn/SZucNJcGs5c6T+rEt38qNH67B7W279yEIgiAIgiB0bSLAIgiCcKTlL0mlmQf+o9mHri/ewJbSLUxOm4y8BUuLmmNJrrQ8aFBs1wiwAFQnDEBdU4auZE+bnjfTnMnUjKn8mvMbqwpWtum5j9Qr3shtJ/blz10lonyzIAiCIAiCUEcEWARBEA5nK5aWB/WfAVpLsw51eJ18uPUDssw96BPdJ0IdlPj98Gu2jgGxLjTKrvMF32lKwq2LJip7RZufe0TCcAbGDuSdze9QXFPU5uc/3NC0KG4+oQ8/bsrnrs834BNBFkEQBEEQhKOeCLAIgiAc7o//AjIYdE6zD/10xydYXVam9Zge4cwrsK1MRY5VxTFJjgi/UhuTybAlDcSUvwmFw9q2p0bG9Mxp6FQ6Xt34Kl5/ZHOkjMmK4aYpvflqXR7//mKjmMkiCIIgCIJwlBMBlu7IaQNnVUf3QhC6nuIdsPotGHoeaM3NOnRN4Rp+z13MlPTjidZERaR7h/txj4FYrZfe0e6Iv1Zbq47vh18mJ3r/X21+bo1Cw4ysGeyv3M+Pe39s8/MfaULvOG6c0psv1h7gjs824BE5WYTm8nnBUQnuLhYsFYTuwO2Qrj+fSFouCELb6NAAy5w5czjmmGMwmUwkJCRw5plnsmPHjkaPW7JkCaNGjUKr1dKzZ0/mzZvXDr3tAqoKYNt38MklMP9i2PgpWA92dK8EoWvw++HHO8GQAAOal3slz3aQNza9Qb/ofgxPGB6Z/h2m1C5nca6OY1McyCM9VSYCfEoN1QkDiNq/DJnX2ebnTzWmcmzKWL7Z8w051uw2P/+RJvaOY9bxvflmfR63zF+HyyOCLEIT+HxQth/+eBo+Oh++ugFy/wZ7RUf3TBC6P3s55K6SrruPzoelz0D5fulZQBAEoRU6NMCyZMkSZs2axYoVK1i4cCEej4fp06dTXV0d9ph9+/Zx6qmnctxxx7Fu3TruuecebrnlFr744ot27HknVFUAn18Fn1wKexfDvj/gy/suszAAAQAASURBVGvhowtEkEUQmmLTZ7BvCYy5DhSqJh9W6apk7prnMGssnJJ1SsSXBgF8tcuIUuZnTHLXHfG2pgxF4XYQtX95RM4/IWU88bo4Xtv4Om5f5JMAj+8Vx60n9mXh1kKue3+1KOEsNK5kB7x6HCx+HHJWwNav4M0TYc27YhaqIESSwyrNVn1zmnTd5ayA3x+DVydJM1kFQRBaoUMDLD///DMzZ85k0KBBDBs2jLfffpucnBzWrFkT9ph58+aRkZHB3LlzGTBgANdccw1XXXUVTz/9dDv2vBPKWQHZIabbF2yEHT+1f38EoSupKoSf7oKsSZA2usmH2dzVPPX30zi9Ls7pcw4ahTqCnZSU2OV8u9vA+FQHui6U3PZIXo0JW0I/Ynf9HpFZLAqZghk9Z1BoL+TLXV+1+flDOaZHDHdM78eKvaVc+uZKKmq6TnUnoZ3VlMP3t4MzRB6i3x4EW2STNAvCUc1WCL89ErzdUQk/3iFmkQmC0CqdKgdLZWUlADExMWH3Wb58OdOnTw/YdtJJJ7F69Wrc7tC5CJxOJ1arNeCnW3HaYPWb4dvXvA3VJe3XH0Fook5xbfr98M0s6c9jrm/yYTaXjadWP0W5s5zz+52HWW2KUAcDvb3JjEruZ1K6vV1eL5Iq00Yh99iJ2b0kIueP18VzXOpEFuz/he1l2yLyGkcamhbFvacOYGdhFee8sowD5TXt8rptrVNcm92ZoxxyloVu8/shJzIzu4TuQVyfrZQd5toD2L9UWj4kCILQQp0mwOL3+7n99tuZOHEigwcPDrtfQUEBiYmJAdsSExPxeDyUlIQOIsyZMweLxVL3k56e3qZ973B+H/g84dt9HqDrjnQL3VenuDaX/w92L4TxtzS5LHOlq5In/n6SEnsJF/S7gDhdXIQ7KVldoOG3bD0nZ1V36dkrtbwaE1XJQ4jZvQhlhEYMj0k6hgxzBq9tfI0qV/t8CemdYOKh0wdhc3o486VlbDxQ0S6v25Y6xbXZnTWW50Ek3BQaIK7PVmromRlEHhZBEFql0wRYZs+ezcaNG/n4448b3VcmC8xy4D/0i/DI7bXuvvtuKisr635yc3Nb3+HORGuGEZeFbx92Eehi268/gtBEHX5t7l0CCx+EwedA2jFNOqSgppDHVjyG1Wnlon4XkqCLj3AnJcU1cp5aGUXfaBfHJLX9kpqOYk0dhV+hJnHTl0QiECxHzoysGbh8Ll7f9Dq+CJdurpUSpeOh0wcRpVdx/rzl/LAxv11et610+LXZ3WktkDw8fHvG2HbritD1iOuzlTInhG9LHQW6qHbriiAcTWbOnMmZZ57Z0d2IOGVHdwDg5ptv5ttvv+WPP/4gLS2twX2TkpIoKCgI2FZUVIRSqSQ2NnQQQaPRoNFo2qy/nVLPKZAwEIq2Bm6P7iF9eZR3mliaINTp0GuzaDt8ehkkD4URlzfpkF0Vu3hh7YtoFBouGXgxFnXgjBeXFzYVa1hfpGZXuZp8mwKbW7r2jGofSXovPaPcDIpzMTzBiVHdtIBCqV3O/y2JRS6DC/pXESaW3CX5lGrKsiYSv+MXzLlrsKY3PQdOU5nUJk7LOp3Pdn7KV7u/5pw+57T5a4QSpVdz/4yBvPrHHmZ9tJZNeb24Y3pflIrO//v4qLhvdiRDHJw2F94+CTxHBEzH3gTGxJCHCQKI67PVTElSQvtVrwVuV2phxrOgD5+qQBCElnv++efrJkZ0Zx0aYPH7/dx888189dVXLF68mKysrEaPGTduHN99913AtgULFjB69GhUqqZX/uh2zClw6Rew7VupAoHfC8MuhiHngqXhoJUgHHXK9sH7Z4IuBib/H8gVjR6yNG8p7219nxRDMmf2PhOdUlfXtrNMxU/79CzJ0VHjkWNWe0k3e+gf60J/aClPjUdGqV3BklwdX+0yIpf5GRjrYlyKgzHJTtJMnqDAid8Pyw9qeXGNBT9w7bDKJgdluhJ7bE+q4/uRuPELHFHpuExt/+Uyy9KDyemT+WHvDyTqE5iYelybv0YoaqWc2cf3JivOwGt/7GFtdjnPXzScZIuu8YOF7i1xMNzwJ/z1ImT/CcYEmHg7pI4WI+iCEEm6KJj8b+g1Ff58FqqLocckGD8bonp0dO8EoduyWJq2FL+rk/k7MIx000038dFHH/HNN9/Qr1+/uu0WiwWdTnr4vPvuu8nLy+O9994DpDLNgwcP5vrrr+faa69l+fLl3HDDDXz88cecc07TRiWtVisWi4XKykrMZnPbv7GO5PdDTYn0X31sk744CkJn0S7XZtF2KbgiV8D0xxsdqXJ6nXy0/SP+OLCU4fHDODHzRBQyBV4/LM/T8vkOI9vL1ERpvIxMdDI03kmSwdvgLJNyh5wdZWq2l6rZXaHC7ZMRq/XSP9ZFqtGDRumnzK5gfZGGPJuSfjEuzutXhakbBldqybxuEjd/BX4/OcfdjFfT9v///fhZsH8hG0s2cMPQGxid1LRlYW1le76V//2+G7fPx8NnDOLM4alhl7Z2Nt36vtnR3HapLLNCLQIrQouI67MV7BXgdYHGDCptR/dGECLu888/5+GHH2b37t3o9XpGjBjBN998w6xZs6ioqGDEiBG89NJLOBwOLrroIl588UXUaqlKpt/v56mnnmLevHnk5+fTt29f7r//fs4999y682/ZsoW77rqLpUuX4vf7GT58OO+88w69evVi5syZVFRU8PXXXzfpfOXl5cyePZsFCxZgs9lIS0vjnnvu4corr2z3z605OnQGyyuvvALAlClTAra//fbbzJw5E4D8/HxycnLq2rKysvjxxx+57bbbeOmll0hJSeGFF15ocnCl25PJwNA+OSEEocvZtRA+v1oKqpz4cKPBlb2Ve3l90xuU2ks4pccpDI0fgtMLP+/X8/kOI/nVSnpa3Fw+yMqAWBfyJn5Xjtb6GJviYGyKA5cX9lao2FOhIs+mZHupGrcP9Co/aSYPM3pV09Pi7lbLgkLxK1QU9z+FpE1fkfHXPHLG34BX27ZfFGTImNbjRFw+F/M2zmOm19FuM1kA+iebeeLsobyzfB+3fbKBr9bm8eAZg+gVb2y3PgidkEon/QiC0P5EUFM4iuTn53PRRRfx3//+l7POOouqqqq6QAjAb7/9hlar5ffff2f//v1ceeWVxMXF8dhjjwFw33338eWXX/LKK6/Qp08f/vjjDy699FLi4+OZPHkyeXl5TJo0iSlTprBo0SLMZjN//fUXHk/oxNKNne/+++9n69at/PTTT8TFxbF7927s9s5fRbNDZ7B0FBHpF4TOKWLXpqsaFj0GK16GtNFw3B2gNoTdvcpVxde7v+b33MUkGZI4NetU/P54fthr4Mc9eqpccgbHu5icZifd3Eg1AqFZVPYKErZ8h0+h5ODoK3BEZ7T5a/jwsXD/r6wvXs+JGVM5r995qOTqNn+dhqzNLufd5fsprXZx4THp3DilF2nR+nbtQ3OI+6YgdF7i+hQEoSnWrl3LqFGj2L9/P5mZmQFtM2fO5LvvviM3Nxe9XnoemTdvHnfeeSeVlZXY7Xbi4uJYtGgR48aNqzvummuuoaamho8++oh77rmH+fPns2PHjpCpOw6fwVJdXd3o+c444wzi4uJ46623IvSJREanSHIrCIIQER4nbJgPi5+Qls6NuhIGnQmy0ElGyxxlLMpZxG85v+EHxiWfiMs7lrmrDawp0KBR+BmZ5GRiqp1Yna9d38rRwq2LomDIWcTvWEDmny9S1msSpX2m4lO1XfBBjpzpPaYRp49jce7vbCrZxAX9LmB4wnCgfaYKjcyMZnCqhV+2FPDthoPMX5XLyYOTuOCYdCb0jkPR1OlQgiAIgiAITTBs2DCmTp3KkCFDOOmkk5g+fTrnnnsu0dHRde21wRWQcp/abDZyc3MpKirC4XAwbdq0gHO6XC5GjBgBwPr16znuuOOalBd169atjZ7vxhtv5JxzzmHt2rVMnz6dM888k/Hjx7fqM2gPIsAiCEL34nZA7krY8RNs+hRqyqDHBJj2iFQ54DB+/BTWFLGtdBtri9awoWgfdncPtMqLKbf3YeFeHV6/jB5mN2f1tTE83oVGedRN+mt3Xo2RgiFnYslbR/S+v4javxxr2iisKcOwx/QAeetvXTJkjEoYSaYpk19zFvLCuhdJNaYyMXUiIxKGk6BPINLBFrVSzunDUpg2MJHFO4r5dVshP2zKJ8agZkq/eMb1jGVkZjQ9Yg0i4CIIgiAIQqsoFAoWLlzIsmXLWLBgAS+++CL33nsvK1eubPA4mUyGzycNLP7www+kpqYGtNdWNavNodoUTTnfKaecQnZ2Nj/88AO//vorU6dOZdasWTz99NNNfp2OcFQGWGpXRVmt1g7uiSB0TyaTqUXJO5t8bToqUW94F3lVPjJHBbLqYuRVB5FbcwN288b2o7r/2fztLGDx0hXk1ERR45Uq+tg8Suw+PXavmWrvUHyMDDhWr3Ax0FREX2MZFpUDnLD/QLPfktAqCShijyfGmodx737Yux8pbbcMu9aIU23Ao9DgUaopismiuoVr6XtqJmAy9mV35S4+Ll3ExywCQKPQEKWJxqQyMjxuOD1MPdrmbYWQZlYw89gU9pfaWZNbyZdr8/hybV7APvFGNfFGNdF6FRadEoNagU6lINGs4ZzhSejVjSc1j/i1KQhCi7T02gRxfQpCpLXm+uxsZDIZEyZMYMKECTzwwANkZmby1VdfAbBhwwbsdntdoGTFihUYjUbS0tKIjo5Go9GQk5PD5MmTQ5576NChvPvuu7jd7kZnsQwcOLDR8wHEx8czc+ZMZs6cyXHHHcedd94pAiydUVVVFQDp6ekd3BNB6J5aug68qdfmrWPVPHdS49n+FaU7MJfuoIcvmfddzzSrLzVeNZusiWyytn3JYKENVB/6qVXQ2hOagJ4BW5xA7deVLTu9wJ7WvkirFNtcFNtcIdv+fdtsqjcvavQckb42BUFomaKiIuLjW1akQFyfghBZ3SW/0cqVK/ntt9+YPn06CQkJrFy5kuLiYgYMGMDGjRtxuVxcffXV3HfffWRnZ/Pggw8ye/Zs5HI5JpOJO+64g9tuuw2fz8fEiROxWq0sW7YMo9HIFVdcwezZs3nxxRe58MILufvuu7FYLKxYsYIxY8YEVAwGmnS+Bx54gFGjRjFo0CCcTifff/89AwYM6KBPr+mOygBLSkoKubm5rYpGWq1W0tPTyc3N7RYXXHsSn13LdKXPzWQytei45lybzRmniwc2NrMvXenzbo2j5X1CN3+v99RXQ2rofbbHtdlZdOv/34eI99j11b6/2jKoLdHc67O7f6bNIT6LeuKzqHfkZ9HSe2dnYzab+eOPP5g7dy5Wq5XMzEyeeeYZTjnlFD755BOmTp1Knz59mDRpEk6nkwsvvJCHHnqo7vhHH32UhIQE5syZw969e4mKimLkyJHcc889AMTGxrJo0SLuvPNOJk+ejEKhYPjw4UyYMCFkfxo7n1qt5u6772b//v3odDqOO+445s+fH/HPqbWOyipCbUFkbG858dm1jPjc2tfR8nkfLe8Tjp73erS8z8YcDZ+DeI9dX0e8v+7+mTaH+Czqic+i3tH4WRxe4UdondClNARBEARBEARBEARBEIQmEwEWQRAEQRAEQRAEQRCEVjoqc7C0BY1Gw4MPPlhXRkpoOvHZtYz43NrX0fJ5Hy3vE46e93q0vM/GHA2fg3iPXV9HvL/u/pk2h/gs6onPot7R+Fm88847Hd2FbkPkYBEEQRAEQRAEQRAEQWglsURIEARBEARBEARBEAShlUSARRAEQRAEQRAEQRAEoZVEgEUQBEEQBEEQBEEQBKGVRIBFEARBEARBEARBEAShlUSARRAEQRAEQRAEQRAEoZVEgEUQBEEQBEEQBEEQBKGVRIBFEARBEARBEARBEIRW279/PzKZjPXr13d0VzqEsqM7IAiCIAiCIAiCIAhCaF6fn1X7yiiqcpBg0jImKwaFXNbR3RJCOCpnsPj9fqxWK36/v6O7IgjCYcS1KQidk7g2BaHzEtenIHRvP2/OZ+KTi7jo9RX8c/56Lnp9BROfXMTPm/Mj+rqff/45Q4YMQafTERsby4knnkh1dTUAb7/9NgMGDECr1dK/f39efvnluuOysrIAGDFiBDKZjClTpgDg8/l45JFHSEtLQ6PRMHz4cH7++ee641wuF7NnzyY5ORmtVkuPHj2YM2dOXfuzzz7LkCFDMBgMpKenc9NNN2Gz2SL6GbTEURlgqaqqwmKxUFVV1dFdEQThMOLaFITOSVybgtB5ietTELqvnzfnc+MHa8mvdARsL6h0cOMHayMWZMnPz+eiiy7iqquuYtu2bSxevJizzz4bv9/P66+/zr333stjjz3Gtm3bePzxx7n//vt59913AVi1ahUAv/76K/n5+Xz55ZcAPP/88zzzzDM8/fTTbNy4kZNOOokzzjiDXbt2AfDCCy/w7bff8umnn7Jjxw4++OADevToUdcnuVzOCy+8wObNm3n33XdZtGgRd911V0Tef2vI/EdhuNtqtWKxWKisrMRsNnd0dwRBOERcm4LQOYlrUxA6L3F9CkL35PX5mfjkoqDgSi0ZkGTR8ue/T2jz5UJr165l1KhR7N+/n8zMzIC2jIwMnnzySS666KK6bf/5z3/48ccfWbZsGfv37ycrK4t169YxfPjwun1SU1OZNWsW99xzT922MWPGcMwxx/DSSy9xyy23sGXLFn799Vdkssbfz2effcaNN95ISUlJ699wG+pyM1h69OiBTCYL+pk1a1ZHd00QBEEQBEEQBEEQWm3VvrKwwRUAP5Bf6WDVvrI2f+1hw4YxdepUhgwZwnnnncfrr79OeXk5xcXF5ObmcvXVV2M0Gut+/vOf/7Bnz56w57NarRw8eJAJEyYEbJ8wYQLbtm0DYObMmaxfv55+/fpxyy23sGDBgoB9f//9d6ZNm0Zqaiomk4nLL7+c0tLSumVLnUWXC7D8/fff5Ofn1/0sXLgQgPPOO6+DeyYIgiAIgiAIgiAIrVdUFT640pL9mkOhULBw4UJ++uknBg4cyIsvvki/fv3Yu3cvAK+//jrr16+v+9m8eTMrVqxo9LxHzkzx+/1120aOHMm+fft49NFHsdvtnH/++Zx77rkAZGdnc+qppzJ48GC++OIL1qxZw0svvQSA2+1uy7feal2uilB8fHzA35944gl69erF5MmTO6hHgiAIgiAIgiAIgtB2EkzaNt2vuWQyGRMmTGDChAk88MADZGZm8tdff5GamsrevXu55JJLQh6nVqsB8Hq9ddvMZjMpKSn8+eefTJo0qW77smXLGDNmTMB+F1xwARdccAHnnnsuJ598MmVlZaxevRqPx8MzzzyDXC7NEfn0008j8bZbrcsFWA7ncrn44IMPuP322xtcp+V0OnE6nXV/t1qt7dE9QQjL5XVRXFNMtbsanUpHjDYGg8rQ0d1qd+LabJjP76Oopgiry4pKriJaE02UNqqjuyUcBcS1KQidl7g+hc6uylVFuaMch8eBUW0kXhePSqHq6G51OWOyYki2aCmodBAqaWptDpYxWTFt/torV67kt99+Y/r06SQkJLBy5UqKi4sZMGAADz30ELfccgtms5lTTjkFp9PJ6tWrKS8v5/bbbychIQGdTsfPP/9MWloaWq0Wi8XCnXfeyYMPPkivXr0YPnw4b7/9NuvXr+fDDz8E4LnnniM5OZnhw4cjl8v57LPPSEpKIioqil69euHxeHjxxRc5/fTT+euvv5g3b16bv++20KUDLF9//TUVFRXMnDmzwf3mzJnDww8/3D6dEoRGlNpL+WDrB3yw7QMcXgdymZzpmdP51+h/kWRI6ujutStxbYZX5ariz7w/eXLVk5Q6SgEYHDeYxyY8Rs+onh3cO6G7E9emIHRe4voUOrODtoM8vuJx/sj7Az9+9Eo91w29jrP6nEWMtu0DAd2ZQi7jwdMHcuMHa5FBQJCldmrBg6cPbPMEtyDNJPnjjz+YO3cuVquVzMxMnnnmGU455RQA9Ho9Tz31FHfddRcGg4EhQ4Zw6623AqBUKnnhhRd45JFHeOCBBzjuuONYvHgxt9xyC1arlX/9618UFRUxcOBAvv32W/r06QOA0WjkySefZNeuXSgUCo455hh+/PFH5HI5w4cP59lnn+XJJ5/k7rvvZtKkScyZM4fLL7+8zd97a3XpKkInnXQSarWa7777rsH9QkX609PTRbZ1od05PU5e2fAKb25+M6htdOJonp3yLNHa6A7oWccQ12Z4K/JXcO2Ca4O2R2uimX/afFKMKR3QK+FoIa5NQei8xPUpdFYl9hKuX3g9O8t3BrXdOfpOLhlwCQq5ogN61rX9vDmfh7/bGpDwNtmi5cHTB3Ly4OQO7JkQSpedwZKdnc2vv/5aV1e7IRqNBo1G0w69EoSGlThK+GDbByHbVheupsReclQFWMS1GVq5o5znVj8Xus1ZzurC1ZxhPKOdeyUcTcS1KQidl7g+hc7qoO1gyOAKwKsbX2Vaj2kkG0RAoLlOHpzMtIFJrNpXRlGVgwSTtCwoEjNXhNbrclWEar399tskJCQwY8aMju6KIDSZzWXD6XWGbc+z5bVjb4TOyul1sr18e9j2Vfmr2rE3gtBx3F4fDre38R0FQRCEDre7YnfYNqvLSo27ph17070o5DLG9YrlH8NTGdcrVgRXOrEuGWDx+Xy8/fbbXHHFFSiVXXYSjnAU0il1yAj/CzFWG9uOvRE6K4VMQZI+fD6eXlG92rE3gtBxrnrnb055fik+X5ddzSwIgnDUaGh2ikquQquITLUbQehMumSA5ddffyUnJ4errrqqo7siCM0So43h+IzjASnYkm5Kx6yW1kunGlNJNCR2ZPeETiJeH891Q68L2aaUKzkh44R27pEgtL/KGjdLd5Wwr6Sa3cW2ju6OIAiC0IgsSxbRmtBL3f/R6x/E6eLauUeC0P665PSP6dOn04Vz8wpHMaPayD1j7uHUHqcik8nIrcolQZ+AVqmlf3R/EvQJHd1FoZOYkj6F88vO59Mdn9Zt0yv1PDflubAjREU1RRyoOkC2NZtMcyZpxjQSDN3v35TVaaXUUcrmks3olDr6x/QnXhePRilyEnQnO4uq6v68vaCKvommDuyNIAhC9+TxeiiyF7G7YjfljnL6x0jPo43lBCy1l5Jfnc/u8t0kGhLpYelBoi6R16e/zg2/3kCJvaRu33Ep47hx+I3iPi0cFbpkgEUQujKn18lrm14LSAIWq43llRNf6cBeCZ1NrC6WW0feymUDLmNv5V4MKgMZpgzidfEoFcG/urOt2dyw8AYO2A7UbUszpjFv2jwyzZnt2fWIKrWX8tL6l/hs52d125RyJf+Z8B+OTz8evUrfgb0T2lJ2qbRWX6uSk1Na3cG9EQRB6H7cXjfritYxe9Fs7B573fZJqZN4aPxDxOvjQx5XUF3A7YtvZ1PJprptUZooXpv2Gv2i+zF/xnwOVh+k1F5KpjmTOF3cUVXEQTi6dcklQoLQVZXaS3ls5WNBGdZLHaXcvOhmcq25HdQzoTMyqU30sPTghIwTODb5WJKNySGDK2X2Mv61+F8BwRWAA7YD3L74dsrsZe3V5Yhbnr88ILgC4PF5uHvp3eRX53dQr4RIOFhhx6JTkWLRkVdhb/wAQRAEoVmKaoq48dcbA4IrAH/k/cHH2z/G4/UEHVPjruGZ1c8EBFcAKpwVXLfwOgrthSQaEhmRMIITM0+kT3QfEVwRjioiwCII7cDv91NUU0S5o5zlB5eH3KewppDCmsJ27pnQHZQ6StlRviNk287ynZQ6SkO21bhryKvKI8eaQ6k99D6dSam9lDc2vRGyzY+fL3d+KZaPdiNFVQ6i9Sqi9CoKreGrrwmCIAgts7pwNS6fK2Tbx9s/pthRTIWzgtyqXA5UHaDKVUWpo5SF2QtDHlPhrCDHmhPJLgtCpycCLIIQYZXOSn7Y9wMX/3AxVe4q/IT/AtgVvuQKnc+RI09Nac+ryuOBZQ8w46sZzPhqBtcsuIbVBauxuzvvTAGPz0NxTXHY9lxbLl6/KOnbXRRXObHoVFh0aoqqRIBFEAShrR2oOhC2zea2YXPZmP3rbE798lRO+fIU7lhyB1WuqgbvtUU1RZHoqnAU2L9/PzKZjPXr13fK8zWVCLAIQgT5/D4W5Szi7qV3U1hTiFahRafUhd2/O+XKENpPlCYKuSz0r3O5TE6UJipgW0F1AVcvuJpf/p+98wyPsujC8L29pPcQEkLvvUmVLgKCooIIiFiwoAKCYkdBxfIpIgKClSIIKjZERekg0nvvJZT0nmzJ7n4/hmyy7G5IMAkE5r6uXJKZeWdnY968s8+c85xTy52bpGNpx3h4+cMcTTta1su9aoxqI41CG3ntbx/VHrVSWovdKCRlWfDXawgwqEnOkgKLRCKRlDbNwpt57aviV4Xt8dvZnbTb2bbx/EbOZp51VsD0RM3AmqW6RsnNQ0xMDBcuXKBhw4bXein/CSmwSCRlSEJOAlN3THV+v/HcRobUG+JxbNtKbWWOquSqCNYH079mf499/Wv2J1gf7NK2L2kf57LOuY114GDK9imkm9PLZJ3/FT+dH880e8ajmBSoC6RjdMdrsCpJWZGSbcFPr8ZPryE123MIu0QikUiunhqBNajiV8Vj3xNNnnCpZJjPj0d/5OGGD3u8pllYM1kRU+IVq9VaZL9KpSIyMhK1+vo5LLNYSr7/kAKLRFKGZFuzSTEVGIxO3TmVjpU78lSTp/DTiJKjGqWG/jX683q714nwibhWS5VUYHy1vjzd9GkeafiIM0LKoDbwUMOHeLrp0/hqfV3Grz271utcOxN2XjHl6FpSPaA6s7vPdtkQtohowdzb5xLlG3UNVyYpbdJyLPjqNfjp1Zjy7ORaZPqXRCKRlCYRPhF8dttndI7p7Dy8CDOE8U7HdzibcdZjVOvG8xsJMYTwYusXCdAFAKBWqOlXox/vd3qfEENIub6Hmwa7DU6uh70/iP/ay/aZOHv2bCpXrozdbndp79evHw8++CAAS5cupUWLFuj1eqpXr87EiRPJyyswRlYoFMyaNYs777wTHx8f3nrrLVJTUxkyZAhhYWEYDAZq1arF119/DXhO6dm/fz99+vTB398fPz8/OnbsyPHjx8WPxG5n0qRJREdHo9PpaNq0KX/++WeR72vt2rW0bt0anU5HpUqVePHFF13W3LlzZ55++mnGjh1LaGgoPXr0KPHP7vqRhySSGxCtSotSocTuKPjj9OCfD/J448f5/LbPATBqjIQaQvHT+l2rZUpuAEKNoYxsOpKBdQaSm5eLQW0g1BCKVqV1G1uUEBGkC/KabnQ9YNAYaBPVhjm3zyHTkolKqSJQF+jc5EluDBwOBxm5efjqVPjqxFYlPdeKQau6xiuTSCSSG4vKvpV5p8M7pJpTsdgs+Gp8MaqNPHHwCa/XbDi3gTfbvUnXmK7k5OWgU+kI1gdj1BjLceU3EQd+hT9fgIzzBW3+UXD7e1C/X5m85IABAxg1ahSrV6+mW7duAKSmprJ8+XKWLl3K8uXLGTp0KNOmTXOKHo899hgAr7/+unOe119/nXfeeYePPvoIlUrFa6+9xoEDB/jjjz8IDQ3l2LFj5OZ6Ptg7d+4ct956K507d2bVqlX4+/vzzz//OAWRjz/+mA8//JDZs2fTrFkzvvrqK/r168f+/fupVauWx/l69+7N8OHDmTdvHocOHWLEiBHo9XreeOMN57i5c+fy5JNP8s8//1xV8QQpsEgkZUiQLoguMV1YeWalS/vsPbNZcHABP/b7kUq+la7R6iQ3GlqVtlhRHLdXu51Pd3/q0XB5eIPhhBpCy2J5pUqYMYwwY9i1XoakjMgy52FzOPDRqZ0CS2qOhcgA/TVemUQikdx4+Gp93aJdH2n0CKNXj/Y4/oH6D2DQGDBovPsKSkqJA7/Cd8Pg8j1bxgXRPnBemYgswcHB3H777SxcuNApsHz//fcEBwfTrVs3unTpwosvvuiMZqlevTpvvvkm48ePdxFYBg8ezMMPF6SUnTlzhmbNmtGyZUsAqlat6nUNM2bMICAggEWLFqHRaACoXbu2s/+DDz7ghRdeYNCgQQC89957rF69mqlTpzJjxgy3+WbOnElMTAzTp09HoVBQt25dzp8/zwsvvMCECRNQKsUBY82aNXn//fev5scGyBQhiaRM8dX6Mr7VeKoFVHNpN6gNfNr9U68fEFNMKRxLPcbmC5s5lnaMVFNqeSxXcpMQYYxgcsfJbpEqHSt3pE/1Ptd1BAuIqkhxmXFsu7iNPYl7uJB9gTx73pUvlFQYMkzi/6ePVo3PJYElI7fo3G2JRCKRlByHw0F8djz7k/az9cJWzmScIcuSRdPwpgyoPcBt/DPNnqGqf9XyX+jNiN0mIlc8ViC91Pbni2WWLjRkyBCWLFmC2SyM5hcsWMCgQYNQqVRs376dSZMm4evr6/waMWIEFy5cICcnxzlHvpCSz5NPPsmiRYto2rQp48ePZ+PGjV5ff9euXXTs2NEprhQmIyOD8+fP0759e5f29u3bc/DgQY/zHTx4kLZt26JQKFzGZ2VlERdXUFHr8jWXFBnBIpGUMVG+UXx525eczjjNvuR9RPlE0SC0ARHGCI8VT85nnee5tc+xN2mvs61pWFPev/V9Ge0iKRWMGiPdYrrRpH8TtsdvJ8OcQcvIlkT6RLoZ4l5vpJnSWHJ0CdN3TXeKKv5afz7o9AEtIlp4TImSVDzyxRQfnQrjpbSgfNFFIpFIJKWD3WHnUMohnln1jLO8slKhZECtATzZ9ElGNx/N4HqD2Xx+M2qlmlsq3UKIIUSmtZcXpze6pgW54YCMc2JctdI3+u/bty92u51ly5bRqlUr1q9fz5QpUwDhfzJx4kTuvvtut+v0+oJoUx8fH5e+Xr16cfr0aZYtW8aKFSvo1q0bTz31FB988IHbPAbDlSOkCoslIATDy9uK6stPASrcfvmaS4oUWCSSciA/naFlZNGKaKoplRfWveAirgDsStzFa/+8xoedPiRAL70mJP8dg8ZAjCaGGL+Ya72UErE7cbdLZS6ADEsGI1eO5Kd+P1E1oOo1WZekdMkXWIxaNUZtgQeLRCKRSEqPi9kXeXT5o2RaM51tdoedxUcWE+Mfw9B6QwnQBcjSy9eKrPjSHVdCDAYDd999NwsWLODYsWPUrl2bFi1aANC8eXMOHz5MzZol/90ICwtj+PDhDB8+nI4dO/L88897FFgaN27M3LlzsVqtblEs/v7+REVFsWHDBm699VZn+8aNG2ndurXH161fvz5LlixxEVo2btyIn58flStXLvH78Mb1HQcukVzHZJozuZh9kfjsePJspXOymmJKYVfiLo99my9uJsWc4rFPIikKu8NOQk4CF7MvVuh0s1RTKjN3zfTYl2fP47cTv5XziiRlRealaBWjVoVWrUSjUpBlkgKLRCKRXIksS5Zzf2q1Ff13c0/iHhdxpTBf7v2SxNzEsliipLj4FrO6aHHHXQVDhgxh2bJlfPXVVwwdOtTZPmHCBObNm8cbb7zB/v37OXjwIIsXL+bVV18tcr4JEybwyy+/cOzYMfbv389vv/1GvXr1PI59+umnycjIYNCgQWzbto2jR48yf/58Dh8+DMDzzz/Pe++9x+LFizl8+DAvvvgiu3btYvRoz95BI0eO5OzZszzzzDMcOnSIX375hddff52xY8c6/VdKAxnBIpGUEIvNwsn0k0zZPoXNFzbjo/Hhvjr3cV+d+/5zmeUsa9Z/6pdILicpN4k/T/7J1/u/JjEnkQahDRjXYhz1guvho/1vIZDljcVmIS4rzmv/kdQj5NnzPKbeSSoWWWYhsORXDfLRqp2ii0QikUjcybPncSrjFB9v/5gN5zagV+u5p9Y9DK0/lEifSI/XHE877nW+VHMqVrsUtq8pse1EtaCMC3j2YVGI/th2ZbaErl27EhwczOHDhxk8eLCzvWfPnvz2229MmjSJ999/H41GQ926dXn00UeLnE+r1fLSSy9x6tQpDAYDHTt2ZNGiRR7HhoSEsGrVKp5//nk6deqESqWiadOmTt+VUaNGkZGRwbhx40hISKB+/fr8+uuvHisIAVSuXJnff/+d559/niZNmhAcHMwjjzxyRVGopCgcV1N7qIKTkZFBQEAA6enp+Pv7X+vlSCoYh1MOM2jZIDdTzfoh9Znedfp/qmxyMv0k/X727ASuQMGv/X+9oY3F5L1ZuqSZ0pi8eTJ/nPrDrW9GtxncGn2rh6uuX9LN6Tyz8hl2Ju702D+m+RgeafRIOa/q5qC87835m07zxq/7mf9waxQKBeO+28UdTaJ4ubfnUy6J5GZGPjslACfSTnDfb/dhsplc2qsFVOPzHp97PARcfWY1o1aP8jhfhDGChX0WEm4ML5P1SoqJs4oQuIoslzxDyqiKkOTqkSlCEkkJyLRk8uG2Dz1WLDmQfKDIk4DiEKwP9vqht3uV7oToQv7T/JKbiyRTkkdxBWDy5slOQ7uKQoAugFHNPW8EDWoDt1W9rZxXJCkrskx5GDQqZ460QasiU6YISSQSiUdyrDnM3DXTTVwBcXi3L3mfx+vqhdQj1BDqse+ppk8RZrj6Q0NJKVG/nxBR/C8rdOEfJcWV6xQpsEgkJSDLmsWmC5u89q84s+I/zR+gC+D1Nq/TvUp3FJeUaaVCye1Vb+fFW17ETydd2yXFZ3/Sfq9957LOkWWpeClndYLr8E6Hd/DXFpzSxvjF8FXPr6jkI6ts3Shkm/Oc6UEAeo2KLHPZlKGUSCSSik6mJZMN5zd47f/9xO/YHXa39kifSL7q+RV1guo42wxqA2Oaj6FzTGev1Vgk5Uz9fjBmHzz4G9zzpfjvmL1SXLlOkYnqEkkJUKLEqDGSbc322B+kD/rPrxHuE86b7d9kTIsxZFuz8dH4EKIPwVfr+5/nltxc+Gq8/84oUKBRarz2X6/4af3oVa0XLSJbkGZKQ6VQEaQP+k+peZLrjyyziGDJx6BRkS0jWCQSicQjSoUSX41vkftTpcLzuXq1gGp8dttnpJpSMdvMBOoCCTWEolVpy3LJkpKiVJVJKWZJ6SMFFomkBATrgxlYeyBf7//aY3/P2J6l8jq+Wl8pqEj+M3WC66BVarHYLW597aLaEagLLP9FlQIqpYpKPpVkxMoNTI4lD72m4MOAXqMi0yxNbiUSicQTwfpgBtUdxMc7PvbYf3etu694fbA+uCyWJpHcdEiBRSIpBnn2PBJzE0kzpdG7Wm9qBdVi5u6ZxGWKiiZdY7rySKNHMNvMHE87TpA+qMgHVY41h2RTMlmWLAxqA8H6YPx10phO8t/IsmSRYkohy5qFr8aXAF0AUzpNYfSa0dgcBekV4cZwXmvzGha7hWOpx7DarQTqAgkzhKFWXZvHQnJusqhYYLMSoAsgzBCGRlXxImwkpUO22YZe7ZoilJxtvoYrkkgkkusXlVJFvxr9WHN2DbsTd7v0PdH4CSr7VhZ7z9xksqxZGDVGgvXB+GnLJvU83ZxOiikFU54Jf60/IYYQ9Gp9kdeYbWaScpPIMGegVWkJ1geXSmS4RFLeSIFFIrkCmZZMVp9ZzXtb3yPDkgFArH8s73R4hy0XtlAvuB5H0o7w6F+PkpuXC0Dd4Lq8f+v7VAuo5jZfUk4Ss/bMYsmRJeQ5xIls+6j2vN72dSr5yhN5ydWRkJPA+1ve5+8zf2N32FEqlPSo0oPnWj3HL3f+woozKziTcYZ2Ue1oFt6MNHMaI1eO5ET6CUCkE41tOZbbYm8jQBdQbut2OBwcSzvG+HXjOZZ2DAAfjQ+jm42mV/VeFTbKRvLfyDbnoSsUwWLQKMmWHiwSiUTilXBjOB91/ogT6SdYfmo5flo/+lTrQ6RPJGabmQ+2fcDS40uxOWwoUNApuhOvtHnFawnnqyUuM45XNrzCjoQdAGiUGh6o/wDD6g8jxOC5WEOqKZUfjvzAZ3s+cxr11g+pz/sd3yc2ILZU1yeRlDWyTLMsZye5ApsvbObRv9xruhvVRn6961c2XdjEq/+4108P0Yfw7R3fuqQxmPJMTN0+lQWHFriNbxjSkOndpnt9+NwMyHvz6si0ZPLaP6+x8sxKt75uVbrxZvs3XU6pzmWdY+DSgU7BsDDlXb75fNZ5Bv42kHRzulvfR50/onts93Jbi8Q75X1vDpi1Eb1axcguNQH4cUccqw4nsP3VHmX+2hJJRUM+OyVFkWPN4d0t7/LTsZ/c+lpHtuaDTh+UWqRIYk4iDy9/mFMZp9z6nmn2DA83eNgtUtbusLPk6BIm/TvJ7ZoIYwQLei/wWGJaIrleqZBVhM6dO8fQoUMJCQnBaDTStGlTtm/ffq2XJSkD0kxpJOYkkmvNvWav//GOj1Er1PSI7cFzLZ9jdPPRNAptRE5eDueyzvHJzk88XptsSuZQ8iGXtqTcJL478p3H8fuS95GUm1Tq70Fy45Ocm+xRXAFYeWYlybnJLm2bL2z2KK4ATN0+1W18PhabhcScRLf+HGsOCTkJpJnSSrz2HQk7PIorAFN3eF+L5MYm22xDp3FNEcqRESwSiURyRQo/qx0OB8m5yfx6/FePY7dc3EKKKaXUXjsuK86juALw9b6vScxNdGtPzElk5q6ZHq+Jz4nnaOrRUlufRFIeVLgUodTUVNq3b0+XLl34448/CA8P5/jx4wQGBl7rpUlKkVRTKjsTdvL53s9JzEmkaVhTHm/yODF+MVfM4SxNzDYzVpuVGd1n8Nepv1hwcAF6tZ4+1fowrP4wrHYr8TnxXq/fn7yfLlW6OL/PtmZjtXuvhHEh+wJ1gut47ZdIPOFNLPHWvzN+p9exx9OPu/2OOhwO4rLiWHBgASvPrsSoNjK43mA6R3cmy5rFZ3s+Y3v8dkL0ITza6FFaRLQg2FA8s7w9iXu89p3OOI3F5m7QK7nxudzk1qBRkWu1Ybc7UCpl2VCJRCK5HOez+uACVp1ZhV6tZ3DdwTQIaeDiw3Y5ibmJ1AisUSprOJl+0mtfljWLnLwct/Z87xVvHEw5SIfoDqWyPomkPKhwAst7771HTEwMX39dUMWlatWq125BklInw5zBl3u/ZO6Buc625aeXs/LMSr7s+SXNI5qX21o0Sg3jW4/n2TXPupyyT981nSZhTXi9zesE6YJINad6vL5GgOsDy6g2olKovD7owgyy1Kyk5BRVjtlTf+3g2nDc89jKvpVRK1wfDWczz3L/svtdhJq3Nr3FH+F/cEeNO/j95O+AOGkau3YsA2sPZHTz0cUybq4VWMtrX4QxArWywj2mJKVAjsWGTl0gsOT7seRabfjo5O+ERCKRXM7ZzLMM/n2wy3717c1v83mPz1GgwIFnV4hgXelVD4r2jfbap1fpPR6SalVa/LX+Xg+LqgZULa3lSUqRN954g59//pldu3b9p3nWrFlDly5dSE1NLXbAxPDhw0lLS+Pnn3/+T69dVlS4FKFff/2Vli1bMmDAAMLDw2nWrBmff/75tV6WpBRJMaW4iCv55DnymPjvxHJNGfDR+PDr8V89pjDsTtxNTl4OjzR6xOu1jcMbu7QFG4LpWdVzKeeq/lUJN4b/90VLbjqC9cG0CG/hsa95eHO33OrOMZ3RqXQexz/Z5ElCjaHO7015Jj7f+zkZlgx0Kh21g2pTzV+YN29P2I5GqSHUEOoyx3dHvvMYBuyJtlFt0as8R6U90eQJwoxSdLwZybHY0BdOEbpUUSjbIks1SyQSyeWY88x8ufdLj/vVDec3ePVWqx1Uu1S9/6r4V3EeFkb5RFEvuB7+WnHYcm+tewnVh7pdY1AZGFhnoMf5/LX+1AyoWWrrk5Qezz33HCtXek5PLwnt2rXjwoULBAQUv8DCxx9/zJw5c/7za5cVFe4Y6MSJE3z66aeMHTuWl19+mS1btjBq1Ch0Oh3Dhg3zeI3ZbMZsLijvmJFRdDi95NqyN2mv174T6SdIN6eX+GGQZc0iKSeJbfHbMNvMtI5sTZgxzGuFknRTOvG58WRbs1l52vsfj4WHFjK+1XjOZpzluyPfOU8HwgxhfNL1ExeDWxCiy9gWY0m3pPPPuX+c7dUDqvNJ109uug+T8t4sHQL1gUzuOJnn1z7PnqSClJtGoY14p+M7bgJLJWMlZnefzZg1Y0gzpwGgUqgY3mA47Su3dxmbbk5n1ZlVPNPsGWoF1mJ/8n6MaiO1gmrxy7Ff2Hh+I03DmrLizAqX67bHby9WyHGkTyRf3PYFo1aPcuaBKxVKhtYbSteYrlfz45CUAtfy3nQ4HOReFsGSny6UY7ZB2VQVlUgqDPLZKbmcNHMaf5/+22Pfd4e/Y3b32eTm5bLl4hZne+2g2nzc5eMi99Tp5nQScxPZenEraoWaVpGtCDGEeC3vHOkTyde3f82ZjDPEZcWRmJNIzaCa+Kp9qR9SH53a/XAnw5pBVf+q9KnWh99P/u7cS0cYI3itzWvsTtxNtUD3qpySa4uvry++vt4jqC0WC1qt9orzaLVaIiNLVsmqJGLMtaDCCSx2u52WLVsyefJkAJo1a8b+/fv59NNPvQos77zzDhMnTizPZUr+A1pl0TejSqkqsv9yMswZ/Hj0R6Zsn+ISHnl3zbsZ3WI0wXrX0MiU3BQ+2vERPx/7mQltJqBRacCLbYpWpSXEEMKYFmMY1mAYF7MvYtQYCTOEEW4MR6Fw9wqI8Ing3Y7vkpKbQmJuIoG6QEIMIW5RADcD8t4sPaJ8o/ik6yckm5JJMaUQrA8mRB/i0QvF4rCQbc3mxVYvolFpMNvMBOgCOJl2Epv9svQ1BbzS5hWWnVjmYuisVCgZ22IsOpWOf8//6/Ya3iJkLketVNMorBGL71gsDK3zcqnkW4lgfTA+Gp+S/RAkpca1vDctNjs2hwOduuBvfb7hrYxgkUjks1PijgKF1/1qbl4uv534jQ86fUCKKYWk3CSCdEGEGEKKFFdSTCnM3DWTxYcXu7SPajaK++rc5zENOM+eR3JuMuPWjiM3r6BARe3A2kzvNt3j6ygVSl7f+DqD6g5iRrcZpJnTMGqMZJgz+GDbB9xf9/5i/hRubGx2GzsSdpCYk0iYMYzm4c1L/JmoJMyePZtJkyZx9uxZlMqCA49+/foRFBREtWrVXFKE8tN2brnlFj755BO0Wi2nTp1i48aNjBw5kkOHDtGwYUNeffVV+vfvz86dO2natKlbitCcOXMYM2YMixcvZsyYMZw9e5YOHTrw9ddfU6lSJZfXyk8Rstvt/O9//+Pzzz/n7NmzRERE8Pjjj/PKK68A8MILL/DTTz8RFxdHZGQkQ4YMYcKECWg0mjL52VU4gaVSpUrUr1/fpa1evXosWbLE6zUvvfQSY8eOdX6fkZFBTExMma1R8t+oH1rfq09Jk7AmBOhKplqeyTzDh9s/dGv/8diPtK/cntuq3ubSvuniJn4+9jMA686to2fVnnx76FuPc99T6x4AfLW++Gp9qeJfpVhrCtQFEqgLpHpg9RK8kxsPeW+WLsGG4GKZy8Znx/P0qqdx4EClUKFWqjHbxGmoAwfDGgxDqRAP02BtMAnZCayLW+cyh91h54NtH7Cw90Jm7Jrh0qdAQbPwZsVet1KhJNInkkifkp1gSMqOa3lv5lrE335dIZPb/BSh/D6J5GZGPjsllxOsD6Z/zf58ue9Lj/19a/QlSB9EkD6o2Ia2uxJ2uYkrANN2TqN1pdY0CWvi1peQk8DIlSNdxBWAI2lH+HDbh0xqPwmjxujSF6ANoGPljiw4uIAFBxegU+mw2q3YHXZApBLf7Kw4vYJ3t7zrUlgjwhjBi61fpHts9zJ5zQEDBjBq1ChWr15Nt27dAFFsZvny5SxdupSNGze6XbNy5Ur8/f35+++/cTgcZGZm0rdvX3r37s3ChQs5ffo0Y8aMueJr5+Tk8MEHHzB//nyUSiVDhw7lueeeY8GCBR7Hv/TSS3z++ed89NFHdOjQgQsXLnDoUEElVz8/P+bMmUNUVBR79+5lxIgR+Pn5MX78+Kv74VyBCiewtG/fnsOHD7u0HTlyhNjYWK/X6HQ6dLrinaZKrj0hhhBebfMqE/91PZ3x0/jxetvXnWk9WZYsUs2pWG1WfLW+hBnCXCJG0s3pmKwmFhz0fDMCfLn3S1pFtnKmUKSaUvlq71fO/nVx65jedTpxmXHcGn0rIYYQVAoVe5P2kmPNIdbP+++d5MrIe7OAFFMKGWYR5h2gDSDIEHSFK66e5aeWE+UbxbiW44j2jSbPnofNYWPegXnMPTCX3tV7O/2A0ixpLDq8yOtcf5z8g3oh9VyiWMa3Gk+IvvRyuiXlz7W8N3PyBRaXCBYhtmRLgUUikc/OmwSLzUJSbhKmPBN6tZ4wQ5iIUvGAWqXmvrr3seLMCk5nnHbpu6vmXSXer6ab0/lq31de+7858A112tUh1ZJKrjUXnUpHsCGYY2nHyLZme7xmxZkVjGkxxk1g8dX68lyr59iTtIcUU4rzwAdgdLPRN30BiBWnVzB2zVg3k+KEnATGrhnLlM5TykRkCQ4O5vbbb2fhwoVOgeX7778nODiYbt26eRRYfHx8+OKLL5ypQbNmzUKhUPD555+j1+upX78+586dY8SIEUW+ttVqZdasWdSoIcTAp59+mkmTJnkcm5mZyccff8z06dN58MEHAahRowYdOhRUnnr11Ved/65atSrjxo1j8eLFUmDJ59lnn6Vdu3ZMnjyZgQMHsmXLFj777DM+++yza700SSlhVBvpWbUnDUMbsvDgQs5nnadtVFtur3o7lXxFaFhcZhzvbXmPtXFrceAgwhjB862ep11UO/y0fpxMP8mkfydRPbA6iTnezTaTTcnk2QtCzq12q9MHAsQp/V+n/2JgnYG8v/V9zmaeBaBlREtebfNqmX4Iltwc5NnyOJR6iDc2vsHhVCEe1wuuxxvt3qB2UO0yqaKjQsW0LtP437b/senCJkBUDxrXchwtI1o6T41A3ANFGUsn5CRwf537cTjEfTi43mBi/GLw0cr0HsnVkWsVIoq+cBWhS//OlSlCEonkJiAxJ5E5++fw3eHvMNlMGNVGHqj/AIPqDvKaUh6gDeCjzh+x6cIm1p9bj0FtoE+1PtQNrlvi/arVbi3y2d8uqh0/HvuRmbtnkm5OR61UM6zeMGL8vUdS2Rw2LDaLx75Y/1i+7fMtq86sYm3cWkINoQypN4QqflXw1RZdKfFGxma38e6Wdz1WgHLgQIGC97a8R5eYLmWSLjRkyBAee+wxZs6ciU6nY8GCBQwaNAiVyvNrNWrUyMV35fDhwzRu3Bi9vqCYQevWra/4ukaj0SmugMhgSUhI8Dj24MGDmM1mpwjkiR9++IGpU6dy7NgxsrKyyMvLw9//ypUur5YKJ7C0atWKn376iZdeeolJkyZRrVo1pk6dypAhQ6710iSliJ/Wj7rBdZnQdgJWmxWdWudMWYjPjmfEXyOIy4pzjo/Piee5tc8xs9tMagTW4ME/HiTVnIrNYaNVZCs2X9zs8XVaR7Z2+cPtq/GlZURL/jj1ByBCLrvEdGHUqlEuf9y2xW/j4eUP822fb4nyjSqLH4HkJiEuK44H/3gQi71g03Ew5SAP/vEgS/otKXbaWUnoXrU7j/71KAk5BQ+rc1nnGLtmLJ/3+BwfdYE4YtAYaBbejH8vuPusgKhI1DmmM20qtUGj0siyypL/TH4akNbF5PaSB4tZRrBIJJIbm0xLJh9t/4ilJ5Y623Lycpi9ZzbZ1myeafaMWxQIwPH04wxZNoSagTVpEtYEi93C25vfBijxftVP40eryFbEHYtz62sb1ZY0cxpTtk9xtuXZ81hwaAEfdf7I65yhhlCP684nyjeKIfWGcE+te+R+4hI7Ena4pAVdjgMHF3MusiNhB60iW5X66/ft2xe73c6yZcto1aoV69evZ8qUKV7H+/i4Hq45HA43P0qHw3O58MJc7o2iUCi8XmcwGIqca9OmTQwaNIiJEyfSs2dPAgICWLRoER9+6G4fUVpUuDLNAHfccQd79+7FZDJx8ODBK4YZSSouaqUag8bgFFcAjqYedRFXCvPj0R9ZH7eeVHMqzcKacV/t+7g99nbaVWrnNlaj1PBww4ddTD2NGiOPNX7M+Uf9rpp38c3BbzwqxymmFOfpv0RyNVhsFhYcXOAiruRjsplYfHgxVpsXh+X/wO7E3S7iSmGm7ZxGji3H+b2/1p8xLca43IP5RBgjaBHZAovdQpY1i1xrrtsYiaSk5Eew6AqVaVYrFSgVkGOVAotEIrmxSTGl8NuJ3zz2LTq8yCXSOp8McwYfb/8YBw6Oph3lh6M/8OvxX0kxpVzVflWn1vFQw4fQqXTUCarDA/UfYEi9IcT6x3J3zbv5Yu8XbteYbWZOpJ+gZURLj3M+2/xZZ/qxN+wOO1a7Fau99Pc+FZGiovCvZlxJMRgM3H333SxYsIBvv/2W2rVr06JFi2JfX7duXfbs2eNS9Wzbtm2lusZatWphMBi8loz+559/iI2N5ZVXXqFly5bUqlWL06dPexxbWlRIgUVyc7Mt3vuNqVfr2Ra/jfm95jO43mB+Pv4zEzdNpEN0B7687UvCDeIPe4OQBnzW4zO+P/I9T618iqXHlxKfLRTiKv5VmNdrHvVD6lM9oDr7kvZ5fb31cetd0ikkkpKQbc1me/x2r/3bLm7zmsv8X9h6cavXvv3J+7HkuQo+1QOq8+VtX1I7qDYgTGm7xnRl7u1zMeWZmL5zOqNXj+aVf15hy4UtJGR7Fm8kkuLgNLktFMGiUCjQa1QyRUgikdzwJOcmezzYAxEpkmZOc2vPzctlT9Ier3NezX41xjeG7/t+T98afdmXtI/DKYcZ3mA4dYLreE31mb5zOhPaTuC+OvehV4m0kAhjBJM7TKZjdEePhzUgohriMuP4bM9nPLHiCcavHc+2i9s8vtebiTBj8fxnijvuahgyZAjLli3jq6++YujQoSW6dvDgwdjtdh577DEOHjzI8uXL+eCDDwA8Vlq9GvR6PS+88ALjx49n3rx5HD9+nE2bNvHll8LwuWbNmpw5c4ZFixZx/Phxpk2bxk8//VQqr+0NGXslqXBU9q3stc9iszCi0Qim75rO2ri1zvbdibup7FuZL3t+ic1hY2fCTl5c/6Iz7G5Hwg7qBtVlerfpRPhE0Ci0EbO6zyLDkkG4MdzNMCyfWP9Yrw8LieRKaFVawo3hHE076rE/3Bhe7HLHJSHKx3uY8OVm0SC8iqbtnMYd1e8g2i8aBQpOpJ0gzZzGI3894iICrT67mscbP879de4nxCiNbiUlJ8dDihCISkI50uRWIpHc4PhoivYwM6rd02xUSlWp71eTTEk8u+ZZjqcdd7Zti99Gy4iWvHLLK7y28TW3a3rE9mD1mdWkm9N5q8NbKFCQYcnghyM/UCuolrOoxOWcTD/JA388QIYlw9m2Jm4NjzZ6lIcaPOSxJPTNQPPw5kQYI0jISfAouilQEGGMoHl48zJbQ9euXQkODubw4cMMHjy4RNf6+/uzdOlSnnzySZo2bUqjRo2YMGECgwcPdvFl+a+89tprqNVqJkyYwPnz56lUqRJPPPEEAHfeeSfPPvssTz/9NGazmT59+vDaa6/xxhtvlNrrX47CUZxEqBuMjIwMAgICSE9PL1ODG0nZcDH7In1/7ospz+TW98otrxDtF82TK570eO0D9R7gjup3cN+y+zz2T2gzgQF1Bri0/Xz0Z48PEQUKfr7z55u+1HJpcjPem1svbuXh5Q977Jt3+zyaRRS/3HFxOZZ2jHt+vcfjadbYFmN5sP6DKJViI2axWZiyfYpbNa4ZXWfw+d7P2ZW4y20OBQp+7PcjNYNqlvraJdeG8rw3f9l1jtGLdjH3odYuIsvY73bRr0kUL/WuV6avL5FUNG7GZ+eNTFJuEg//+TAnM0669TUMbcjMbjM9ChWluV+1O+x8c+Ab/rftfwAE6AJwOBxOAeTNdm8ye+9sLmRdIFAXSLY1G5PNxOzus3ly5ZMe9xcNQhrwafdP3daeac7k+XXP88/5fzyu5Zc7f7mp99r5VYQAF5FFgTgMK6sqQmXFggULeOihh0hPT7+if0pFRUawSK4ZiTmJxOfEE58dT2XfyoQZwwgxFJx4n804y4XsCySbkqnmXw0fjQ/ns8+TkpvC/F7zScxJZOzasU6hpVN0J+6ofgeT/vVcxgvg95O/06d6H6/9Pxz5gR6xPQjUBzrbOkZ3pH/N/vx0rCCcTK1UM7nDZCJ9I//DT0AigdpBtXmq6VPM3DXT+eBUKpSMajaKGL8YTqWf4mT6SXw0PkT7RRNuDPdq/HY+6zyJOYmcyzpHlG8UYcYwKvtWJj47nvPZ50k1pRLjF0OQLoj3b32fl9a/5JLn3CO2B72q9uJ89nlOpZ/CgYMYvxiyLFlurxVqDPUoroDYAOxM2AnA6YzTRPhEEGGMKNMQVsmNQ36KkEblGkmlUytlBItEIqlwmG1mknKSOJ1xGqvdSvXA6oToQ7wavoYaQvm468eM+GuEi8FpjF8M79/6vtcokI7RHbmr5l38fOxnZ9vV7ldTTaksObqEO6rfQa9qvUjISUClUBGoD+SHIz+w4swKJrSZgNlm5mL2RQJ1gaiUKnLzcr2mIu1P3k+uNZd0czon009ic9ioEVgDpULJxvPuJX/z+ff8vze1wNI9tjtTOk/h3S3vuvw+RBgjeKH1C9e9uDJv3jyqV69O5cqV2b17Ny+88AIDBw68YcUVkAKL5BpxJuMMT654kjOZZ5xt9YPr81GXj4g0RnIo5RBPr3qaxNwC06ZbIm9hcL3BvPzPy+TZ8+gc3ZklfZewI34H9UPqE2YMQ6/SF5ljeqX8U5vD5haCF2IIYVzLcQxvMJy9SXsxaozUC65HqCEUvbr0wtskNycBugCG1htKr2q92Je4D4VCQcPQhujVembvmc3iw4udv5M+Gh8+6vwRLSJaoFVpXeY5lX6KZ9c8y7G0Y862moE1mdJ5ChP+meAihrSPas+kdpP4sd+PHEg+QKYlk8ZhjQnSBbHh/Abe3vy2s3y5WqHm8SaP80D9B5h/YL5zjisFP2ZaMhm7diwn08UJXDX/aszoPoMYP+8lHCUSECa3OrXSLVVNp1Y5DXAlEomkIpBjzWFd3Dpe/edVzDZh9KlSqHiiyRMMqjuIQF2gx+uqBVRjQe8FnM08y9nMs8T6xzoPWbyhUCjoVLkTPWJ7cCz1GAaNgWjfaHw0PqgoeQnf/jX7k25JZ9SqUdgcl1I3lVrGthxL07CmfLT9I5cqnRHGCD7q/BGx/rEeU5XeaPsG68+v570t7zkPd9QKNV/f/rVXzxnA+do3M91ju9Mlpgs7EnaQmJNImDGM5uHNy6Q0c2lz8eJFJkyYwMWLF6lUqRIDBgzg7bffvtbLKlOkwCIpd5Jyk3hm1TMu4grAgZQDvLHxDV5t8yojV44k2ZTs0r/54mYifCLoVbUXS08sZU3cGmL8Ynim2TMYNAUqaL+a/Vh+ernH1+5ZtSdapdZjH0D/Wv09PuwCdAEE6AJuagVdUnb4an3x1foS6x/rbFtyZAmLDi9yGZdtzWbkypH8cucvLuWbL2Zd5KUNL7mIKyBSgV7e8DKjmo3isb8fc7b/c/4fZu2ZxQutXqBqQFVn+96kvUz8d6LLHHmOPGbsmsH/bv0fAboA0s3pAKSZ02gQ0oD9yfs9vqdaQbVcNlgnM04yZvUYPuvxmUukmkRyOfkCy+Vo1UpndItEIpFUBM5lnWP8uvEuAoLNYWPGrhk0DG1Ih8odvF4b4RNBhE8ELSM9V+W5nM3nNzN+/XjUCjWRvpFYbVbic+JRKVT8fOfPLs/7KxGoCyTWP5ZRq0e5tFvsFg6nHOZA8gEXcQUgPieeUatHMa7FOF7a8JJLX6g+lOoB1Rn25zCX9jxHHuvi1tEyoqXXIhbtotwrgd6MqJSqMinFXNaMHz+e8ePHX+tllCvSnVNS7iTnJnMi/YTHvv3J+zmTccZNXFEqlHSJ6UL7qPY8UP8Bnm3xLDF+MSw5uoT4nHhSTanOsVqV1mOJuFBDKD1ie6BX653VUApT1b8q3ap0KzVXa4nkaknMSeTzvZ977Muz57HyjGspujRLmtdqV/uS9uGn9XNr/+vUX6Sb0zmTcYZT6adIzElkzr45Xtf06/Ffub3q7c7vP9n5CS+2ftGjCe+A2gPYcG6DW8TYkdQjHstLSiSFMVlsbga3IFKEZBUhiURSUciz57H40GKv0Rmzds9yHlr8V5Jzk5m1Zxa1AmvxUZePmNJpCtO7TufVNq/io/HxWvbZG9nWbJeo1cLcGn0rv5/83WNfUm6SODTS+Lq0P9nkSRYeWujxmh+P/sgTTZ7AoHZPGbmvzn0yvVhS4ZARLJJyp6iSa4G6QM5nn3dp06v0vHvru2y+sJlJmyaRbc2mdlBtnm76NBvObSDLmsUL617ghdYvUC+4Hj8c/oG7at5Fl5gu/H7yd0w2E+2j2tO2Ulve3fIuwxsM5/mWz3M8/Tg/Hf0JBw761+xP99juRPpITxXJtcfmsHEh+4LX/sKO/sAVSznnWHNcvo/1i2Vql6lM3zWd30/+jtlm5sXWLxKXFed1jgvZFxhUdxDb4rdhUBt4oN4DxPjGsKjPIuYfmM/OxJ2E6EN4sMGDHE09yrSd0zzO48nPRSIpjIhgcQ971qqVZMsIFolEUkGw2qyczvRc1QfEc9VbueOSkmfPo1N0J7pW6cpH2z9iR8IONEoNPav2ZG6vufx05CfsDnuxKwlZ7Bav+xC7w+5MI/ZEhjmDmd1mMmPXDBJyEmge0Zx2Ue345fgvHscnm5JZdGgRi/osYvHhxfx74V+CdEE80ugRGoY0JEAXUKw1SyTXC1JgkZQ7YQbvSnSqKZWaga6VR0Y3H82cfXNcPCSOpB7hhfUvMLnDZDRKDQdSDjD8z+F8d8d3NA1vyqv/vErNwJp0iemCRqlhZ+JO5h+YT/OI5pxIP8Er/7xC8/DmfNjpQ/x0fgTpgmTkiuS6QafSUSeoDgdTDnrsvzxENEAXgAKF1xJ+l5c3/F+n/zF2zViXCgXb47fTKLQRB5IPeHzNhiENaRXRiq9u+wqlUulMpQsxhjC+1XjSLenoVDpMeSZGrx7t9b0VNpCWSDxhstq9RLCoSMoyX4MVSSQSScnRqXW0CG/BpgubPPbXD67vseTy1aBX6+lZtSdD/xjqFD+sdiu/nfiNXQm7mNFtRonKNBvVRuqH1Pd48GJz2PDR+Hg93KkeWJ2GoQ2Z2mUqZptZRLM4oH5offYk7fF4jVqpJswYxriW48i0ZKJRam7a0sySio9MEZKUO8H6YI85pyqFiqeaPkUVvyr0qtYLEH/gw43hXquVfLbnMy5mXwRE5ZLXN75Ox+iO+Gn8OJZ2jM/3fs7M3TP59/y/OHAwuO5gp7v6yfSTbLqwCR+1jxRXJNcVQfogxrYY67EvUBfoJrAE64LpEdvD4/gesT04nV5wgtYkrAmnM067lX/Mzcvljup3oFFq3OZQK9TcXftu1Eo1wYZgN58iH60PUb5RhBhCCNIH0a9GPwCahjWld7XetIxoiQIF3ap0I0Qv/VckRZNrtaFVeU4RMkmTW4lEUkFQKpT0qd7HY+qLUqFkZNOR+Gh9SuW1bHYbM3fN9BhZEpcVx96kvSWaT61UM6juIJQKJWGGMHrG9qRHbA8CdAH8deovHmrwkMfr6gXXo5JPJUD4ywXpgtCpdeg0Ou6rfZ9HH0SVQsXDDR/GT+uHVqUlxBAixRVJhUYKLJJyJ1AfyMR2E+lbvS8qhQgD716lO3Nun0OSKYm3Nr9F49DGfN3zazpEdeBQyiGvc53KOOV0ZQdhlKtT6pjTaw51guo428MMYbze9nXWnF1DuiWd8a3G80LrF9iRsIMJGyew+cJmknKTyuw9SyQlpUFoA96/9X0XQaJBSAPm3D6HKN8ol7HBhmDGthxL/xr9nSWc1Uo1d9W4i2dbPMufJ/9EgRARu8Z0Zf259W6vVyeoDr8d/43p3aZTxa/AQDfaL5ppXaex7PgyMi2ZV1y3UWNkTLMxfNPrG1pGtsRsM9MotBFze83llVtekZsmyRUxWW1o1O6it06jlFWEJBJJhaKSbyXm3D6HGoE1nG2RPpHM6DqDqv5VS+11sqxZXk1iAdbGrcVmL/7fzwxLBn+d+ouFvRfybItnQSEqCE1oM4FHGz1K/ZD6jGwy0ikeKVDQObozH3f5GIPawPG040zZPoWxa8fyw5EfOJ91niq+VZjdY7bL+67sW5kZ3WYQ7Rd91e9dIrnekClCkmtCuDGcV9u8ypNNniTPnsfJjJMM/3O4sxTbyjMr8df688VtX3Aq45TXefI/TOZjUBtAAbWDavPZbZ+RakolPieexJxEFh1exL6kfbza5lXWnl3r8iHz95O/0z6qPW+2f1OaaUmuC/y0fvSs2pNm4c3IMGegUWkI1AUSpA/yOL6yb2Wea/UcDzV8iOy8bIxqI6GGUPx1/kxqP4kx5jGY88xE+ETw5d4v3a7PycuhTVQb/jr1F0PrDyXcGI7D4SDZlMzfp/+mU3Qnj9EtnjiXfY4Rf48gNy/X2fbNwW+cFYRKEqYsufkweYlg0apkFSGJRFKxUCvV1A+pz5e3fUm6OR2bw0aALqDIcstXg1KhJEAXQE5ejsf+IH1QiUr6qhVq2ke15/2t77MjYYezfdnJZXSv0p3e1XvzYIMH6VezH9mWbPRqPcH6YDRKDavOruKFdS8405ZXnllJsD6YObfPoWVkS2Z1n0WGJQMHDvy1/lJckdxwSIFFcs0waowYNUbOZ53nxfUvutW5z7Bk8PrG1/mw84eoFWryHO5hj92qdHMRSu6pdQ/B+mBApCIF64PJsmTx+D+PA+JDqBKlxxP8f87/w7b4bc70JInkWqNUKIn0iSy2+bK/zt9jhIifzg8/XUElod7Ve/P1/q9dxuxP2k/TsKYsObrE49wtI1q6zOGNhJwEnlv7nIu4AiIXfNzacSy+Y7E0k5YUSa7VWxUhlUwRkkgkFZIQQwghhrJLkY30ieS+OvcxdcdUj/39a/Yv0XyB+kAu5lx0EVfyWXFmBXfVvMu5jy9MXGYcL2942c0TLsWUwlub3uKjzh9R2a8ylalcovVIJBUJeYwoueacyTjj9mEsn4MpB7HYLEzpPMWZTpRPtYBq3FXjLv44+QcA9UPqM7zBcLQq1/zOqv5VGdFoBACdojvx56k/va7lmwPflFrJPImkrMi2ZnMm4wx7E/dyNPVoiUsfhxnCeKHVCy5tjcMa88PRH7xe892R7ziXeY69SXs5lHyIhJwEHA53U91UU6rXygMpphSSc5M99kkk+eRavHiwXEoR8vR7J5FIJDczaqWaXtV60TqytVvfqGajiDRGkmnJ5HT6afYk7uFE2okiq3qmmlL5/sj3Xvu/O/wdpjyTW/vB5INeKwxtubilyNeUSG4UZASL5JqTa/MsruRjd9iJ9Y9lVvdZ7ErcRYophebhzakVVIttF7fxQP0HaBfVjqr+VT2m9wToAxjeYDi9q/XmXNY59iXt876WvNwS5ahKJOVNUm4Sn+76lB+O/oDdYQdEStyUzlOI9Y8t1hwhhhD6VOvDLZVuYfWZ1WRYMuhTvQ9vbnrT6zW5ebksPb6UGbtnABBhjODDTh/SILSBS6qep0izwljt1mKtUXLzYrLaCfZxD2XXqZXYHWCx2T2WcZZIJJKbmSjfKN5s/ybns86zJm4NvhpfusZ0JUQfgg0br/3zGivPrHSObxHRgskdJrv5uoGoFORJQMknJy/H437ZW4pSPkWVd5ZIbhSkwCK55lQPqO61xGyYIQytSsvwP4eTlJtE3eC6+Gp8+evUX6SYUni97euMbDISjapob4j81IkagTU4m3nWa5m4nlV7EqALKJX3JZGUNlablYUHF/Ldke9c2o+kHuGxvx5jfu/5xc7rDjIEEWQIolZQLUAImbdXvd1rpYH2Ue1dDPTic+J59K9H+fHOH4nxiymYVxfktXyjVqktsky7RALeU4Ty20wWKbBIJBKJJ6J8o4jyjaJlZEtnW5Yli0n/TnIRVwC2x2/n+bXP80m3T5zp9fkEagPpEduDL/e5e7YB9K3R12MFpHoh9byuLdY/VpRslkhucGSKkOSaE6IPYVj9YR77XrnlFRKyE5wVfg6lHGJb/DaSTck0DmuM1W7lfNZ5jx/mbHYbiTmJxGfHO1OQFApRKja/hFxhwgxh9K3Rt0QmYBJJeZKYm8g3B7/x2Hc++zxnMs6UaD6b3UZcZhxnM86SacmkZ2xPj/4oYYYwWkW2YvPFzS7tJpuJVWdWuY19ruVzHl/vmWbPlGkOuuTGwJvJre6SwJJjlSegEolEUlxSTCksP73cY9+epD2k5KbgcDhIykkiPjuebEs2apWaAbUHuAkvIKoLtotq53E+h8NB72q93doVKHiyyZPgXiBOIrnhkBEskmuOr9aXhxs+TIPQBszeM5sLWReoF1yP0S1GUzuoNvMPzHcZr1FqeKv9W5zKOMXc/XOZtmMarSu15qmmT1HVvyoalYb47Hh+OvYTPxz5gdy8XLrEdGFE4xHE+MU4S+YtPLiQX4//ih07far14YH6D3gMk5RIrhdMeSavfkUg/IwKn1oVxbnMc/x24jd+OPoDOdYcbql0C080eYKFty9kzsE5LD2+FAcOelXrReeYzkzcONHjPHsS9+BwOFAoxK5Jo9JwW+xtRPtG8/HOjzmRdoIq/lV4uunTNAlrgl6tL/kbl9xUmLxGsAjxO0dWEpJIJJJik2XNcqYUX45GqUGhULD48GLmHphLuimdVpGteLrZ08T6x/JN72+Ys28Of576E7VSTf+a/bmvzn1ezer3Je1jcN3BNI9ozjcHviEhJ4GGoQ0Z2XQkuxJ2kWnJLPUKShLJ9YYUWCTXBcGGYKc5V549D71a70zVqRlY02Xssy2eZcnRJWy5uMXZtvLMStbFrWNB7wWEGkJ5auVTHE497Oz/5fgvrDyzkkV9FhEbEEuUbxSjm4/mgfoPgEKkNVxujiuRXG/o1XoMaoNXkaWKf5VizXMu8xzj1413SZX7+/TfbDi3gfm95jOm+RgRVaYArULL4yse53z2eY9zNQpt5BRX8vHX+dMmqg11g+titpnRqrRey0tLJJdjstqLjGCRlYQkEomk+PhofFAqlB5FllHNRzFl2xTWnVvnbFt1dhXrzq3jm17f0CC0AeNbjeexxo+hQEGwPhi1yvvHx4ahDfl639ccTz/OPbXvIUAbwIn0E4xbM47nWz2Pn+bK1QglkoqOTBGSXFeEGEKI8Ilw8UFpFNqI2oG1AfDV+BJuDHcRV/Kx2q28v/V9LmZfdBFX8smyZvHFvi+cpl0alYYInwgijBFSXJFUCMIMYQyuOxiAUEMoLSNaUitQeKhU8qlEjH9MUZc7OZ5+nD1Je1AqlNQPqU/z8Ob4a/3Jzctl+s7pZFmynPdGkCGIkU1HepxHr9LTLbab19cJ1AcS4RMhxRVJsXE4HJjzbGjV7nHk+aKLFFgkEomk+IToQ+hRpQcg9gotI1oS6x+LUW2kqn9VF3Elnzx7Hu9ueZc0Uxo6tY4InwjCfcKLFFdApOIvO7mMQymH+HDbh0zYOIE5++eQbErm092flsn7k0iuN2QEi6TUOJNxhkMph9iduJv6wfVpENqAY2nH2J+8nxqBNWgW0pDIxOOoTm2ASo2hcgsIiAGF+0baYrOQkJPA5gubicuK45nmz2Cz2/jl+C/sTNjpdQ3b4rd59GPJZ9WZVTzd9GnMNjPx2fGsiVuD3WGnc0xnIo2RBOoDS+NHIZGUCRqVhgfqP0DbqLaczzrPoZRDhBpCGR86nmr+1TDlmVh6fCkHkw9SN7guTcKbEOMbg1LpqqWvOL2CO6rfQZ9qfdiZuJNsazaD6g4izZzGtO3TSLek8/3R7533Rr3gejzf6nk+2fEJJpsQKMON4XzQ6QOPfkYSydVitTmwO/CYIpQfwZJr8RzqLpFIJBWNpJwkTmecZuOFjQTrg+lQuQNhhjCMKj1kxMHZLRB/AKKaQFRzCCz6ICU5N5lzWedYH7ceH40PnWI6EWoI5cXWL3Jv7Xs5nXmaE2kn6BLThebhzVl/br3XuXYl7iLLmlWivfHB5INe+05nnCbDkkG6JZ3VZ1eLPUZ0ZyJ95P5bcmMhBRZJqXA87TiP//048TnxhBnCaBvVluF/DifZlOwc46Px4cu2b1H/8DIUG6aAIQiGL4OIBi5z5dny2JGwg5ErRrqUdI32i+aL277g9xO/e12HRqlBqfAemGVQG7DZbczcPZOFBxc622fsmsHdNe9mVPNR0oRTcl2TZclk4r8TOZt51tmmUWqY1mUaCw8tdNks+Wv9+bzH59QPre8yR/Pw5iSbknly5ZPOtgUHF9A0rClvd3ybLGsWn+z8BBD3Rv+a/elVrRfv3foeefY81Eo16eZ04jLiqBlYEz+tDPmVlA6mPBGd4ilFKF90yZURLBKJ5AYgPjueMWvGsC9pn7NNgYLJHSfT1b82xi+6gym94AJjiNg3h3uu1JOYk8ir/7zKxvMbnW0fbv+Q8a3G07FyR15c/6LLvrx5eHM6x3T2uj61Ql3kntoTBrWhyP4MSwYP/vmg8/sZu2ZwZ407ebbFs3L/LblhkClCkv/MhawLvLnpTeJz4gEYWn8oU7dPdfkjDpBtzeaZrZNJuHWcaMhNhcVDITPeZVxCbgKjVo1yEVcA4jLjeH/r+3SK6eR1LT2r9vToeJ7PwNoDSTWnuogr+fx47EevJWolkuuBlJxE/rftAxdxBUR63LNrnuXe2ve6tGdYMnhu3XOcyzzn0l4nuA5Td0x1m39X4i72Je3jVPopl/afjv3EuaxzvLvlXcatHcfo1aOZsHECL//zMheyL5TKe5NIoCD9R+MxgiXf5FZWEZJIJBUbq83K/IPzXcQVAAcOXl7/Mok5F8Gc4XpRTjJ8PxyyEtzmczgc/HnqTxdxJZ/3t75PXFYcWdYsl/ZdibuoHVTb6xq7x3YvsWdK7aDaqBWez+9bRrQkOTfZrf2X47+wO3F3iV5HIrmeKfcIliNHjrBmzRoSEhKw213DfCdMmHDF69944w0mTnStZhEREcHFixdLdZ2SK2O1WUnMTSTLmsX2+O3O9moB1Tx6oIAoM3shrAbWIYsJObAUw+5FkJ0IfhHOMUdTj6JAwbD6w2gZ0RKr3YoDB8tOLGPN2TU83fRpHm30KF/s/cJl7iifKPrV6IdBY2BQ3UEsOrTIpb9ucF361ujLm5ve9Pqe5uyfQ4vwFvjp5Im8pHjk5uWSlJtErjUXo8ZIqCH0qirlnMs8R7olHQUK/LX+VPar7DYmzZLhNZzXZDORlJtEqCHUWdYc4GzmWVLNqS7zrTi9wus6lhxdwpjmY9zal51YRo/YHsw7MM+l/Zejv/B86+ev9PYkkmJhtop9QVEmt/ljJBKJpKKSbErmu8Pfeexz4GBdwk4eqNQMzu9w7Uw8BNlJoFBBbjLYrGAIJEmtcau6WZhVZ1bxVNOniPGLwe6wo1aq2XBuAytOr+DZFs/y0faPXMZX8qlE/1r9yc7LLtGeOMWUwnOtnuO9Le/hwOFsD9YH80ijR7xWM/p639e0jGiJv86/2K8lkVyvlKvA8vnnn/Pkk08SGhpKZGSkS+UJhUJRLIEFoEGDBqxYUfABQaVSlfpaJUWTYkrhp6M/8dmez5jdY7ZLn9Vm9XKV4Gz2BZ7Y+ja9Y7rxxICvCM8zu/RnWbL4sNOHLDy0kPkH5uPAgVFt5P6699MqshVp5jRyrDl83OVj1pxdQ4YlgxYRLYgwRvDKhleY32s+I2sN4o6wVvxwbg3ZNhN9I9rQILQheqWWVHOq17WlmdOwOopev0SST2JOIp/s/ISlx5eS58hDo9Rwb617GdF4BGHGsGLNkW3JZm/SXiZtmuSMTIn1j2VC2wk0CmmEQVMQbmuxWbxuTkBErBjVRrd2s831HisswFxOujndo0CUbk7HqHGfOz4n3qVMs0TyXzDnpwh5iGBRKhVoVAqZIiSRSCo8dofda0VAgERrJmh9PHeaM+GXpwrEF99w7MN+JN2c7nk84hleP6Q+L6x7AYvdgkqhokdsD3pV60W4IZzZ3Wez/PRy0s3ptIhoQdOwpmy5uIUqfsWrTpjP6YzT7E3cy/Ru01kXt47E3EQahDSgdlBt3t3yLqOajfK6vssj1yWSikq5pgi99dZbvP3221y8eJFdu3axc+dO59eOHTuuPMEl1Go1kZGRzq+wsOJ9kJGUDja7jd+O/8bUHVPJyctBq9K6VP1RKBReczCVCiVBuiCyrdl8f+JXplxcS5Z/hMuYBqEN+GjHR6w/t96pfufk5fDlvi/JtGQSYYxg4aGFvLDuBVLNqehUOr4/8j3j1o4TxmB2G0GfdaHJ4keYdP4s/0tKo8vytwif0RafrAQ6RXtPMepYuaMsIScpFpmWTN7Z/A4/HfuJPIdIWbDarXx7+Fum7ZxWpNlyYeKy4nhy5ZMuaT+nM07zxN9PEJcV5zLWR20kwhhx+RROagTU4GK2azSfWql2S5vrEn2r1zmaRzTncIp7BFqLiBYcSjnk1t6jag8prkhKDVMRESwg0oSkwCKRSCo6BrWBBiENvPa3ie4oolUuR60XKfaFI1uyEvDZ8Q2tI1t5na9tVFvm7p+LxW4BwOaw8eepP1l8eDFqpZpRq0eRnJuMTqVjydElDP59MH5avxLvieuH1GfZyWWMXj2ac1nnMKgMrDi9gmdWPYMpz+SWppRPh+gO+Gtl9IrkxqBcBZbU1FQGDBjwn+c5evQoUVFRVKtWjUGDBnHixIlSWJ2kOFhsFi5kXyDNnOb8oPfb8d8Y2aSgjOvS40sZVn+Yx+v71ejH2ri1gDDg9DEEkeywuaj4aeY0jqQe8Xj9goMLUKCgXnA9TDYTa86u4feTv3My/SQKFLzQ+gWCTqwTpmDmDBQHf0W1bwmknQZA9fvz9K3W20UQysdX48vAOgPRqDRX9bOR3Fwk5ybz95m/PfYtPb7UY57x5WRbspl/YD55dndPCavdysKDC8mx5jjbKvtG86yH9B2A9lHtOZ5+3Ll5ymdovaGE6F2N4+oZwqnqX9VtDpVCxfAGw/np2E8u7b4aX7pU6cK6ONdSjtF+0TQJa1LUW5RISkS+B0u+38rl6NRKci1SYJFIJBUbBw5GNB6BAvcDitpBtQk2hIDGw2Fl+zGwZ5Fbs++ubxlV537USvfkhGjfaPy1/pzKOOXWt/H8RnLycgjRh1AtoBrVAqoR6x+LSqHiq31fue0prkS4MZxbK99Knj2PDec2sOzkMg6miMpC41qO81iowkfjw6A6g+T+W3LDUK4Cy4ABA/jrr7/+0xy33HIL8+bNY/ny5Xz++edcvHiRdu3akZzs/cOM2WwmIyPD5UtSMvLseZzOOM2H2z7kqZVPsTNhJyObjuTZ5s8y/+B8IowRTO4wmWi/aFafXY2PxofX2rxGpE8kACH6EJ5o8gRNwpqw+PBiBtQewBvt3uBi9kVGrR7FGxvf4EjKEUxWEyfTT3pdR4YlA4vdwrSu0xhcdzB6lUhlqBdcjzm3z6FuUG047L3KEBd2E6XQ8U3PuXSL6YJSoUSBgk6VO7Lg9rlU9nX3vZCUHRX53iwq1czmsJFhufJ7ybRmciD5gNf+A8kHyLRkOr9XqlS0jmjJx12mUs2/GgB+Gj8ebfgor7V5DX+tP+HGcADCDGG83PplBtcd7JbTHLF9ITM7vs/dNfujVWoBaBzamDm3fUU1TQBNQ5u43Bvf9JpHmD6MJqFCTNEoNdxV8y6+uO0L5z0uubG4VvemM4JF7TkqSqdWyggWyU1PRX52SgS5ebn8dvw3Puj0AfWDRaU/vUpP/5r9Gd18NCvOrIKe74DvpahV/8pw5wyIqA/7f3Kf0JRO7P5lzLt9Hs3CmwHiWd2vej9mdp/JO1ve8bqWNHMaTzR5gr1Je/nz1J+E6EOY2X0mflo/TDZTid5XkD6IN9q9weONH3dGv1Tzr8aMbjPoULkDr7V5je5Vujv3GB0rd2RB7wVE+0WX6HUkkuuZMvdgmTZtmvPfNWvW5LXXXmPTpk00atQIjcZVqRw1ynNeXmF69erl/HejRo1o27YtNWrUYO7cuYwdO9bjNe+8846bMa6kZBxPO84DfzzgjDQ5kX6CbfHb6F+zP8PqD2PMmjH0iO3B2+3fxl/nj1qhppJPJTrHdCbTksmexD38evxXtsVvo2PljlTxr8LYNQX/v06kn+DPU3/yabdPifTxngKhUWrQq/RE+kQyruU4Hmr4EDa7DaPaSJAhSAwKqQ0s8zxBQDSKPBNVf3ySt6Oakn7LWwD4n/4X3yWPw8BvIECKLOVFRb43fTW+RfZ78kK5HIPKQKRPJEfTjnrsj/SJdJvnoimRGTtnMqDOACKMEZhtZv44+QdLji7BR+3Dk02exF/rT4Ylg1+O/UKwIZgwY5jLqVZKgzuYumsmGq0Pb3d4G6VCyfG040za/BYft3iBydXvIT26BwD+pzbi+8NjcN9CPun6CVnWLJHqpw+6KjNfScXgWt2bzipCXlKEtGqlc4xEcrNSkZ+dEoFaoWZ7/HYOJB/g3tr38kijR8hz5LHqzCpGrx7Nq61fhlq9oXJzsFlArQO/SrB+iucJNUbOt36Y19eNp1uVbgytNxQHDtbHrSchO6FI7zWD2sCY1WOcafnH047z+8nf+bDTh85DmJIQZgzjiSZPcG/te8mz52FQG5wlmP20frzV4S3Szek4cOCv9cdPK1PzJTcWCofD4bjysKunWrVqxVuIQnHVqT49evSgZs2afPrppx77zWYzZnOByWNGRgYxMTGkp6fj7y/z/a5EujmdUatGsSPBs0/O9K7TGbN6DHmOPIL1wSy6YxGVfCo5+1NNqYxcOZJ9Sfvw0fjwUeePeGn9S25lnEFEusy9fS7D/hxGiinFrb9f9X6MbfYMIb5FnJonHoGZt4AnM9ABc0DrBwsHeO7v9T60fgykp0S5UJHvzeTcZB77+zGP6WzNwpoxres0AvWBRU/icLDl4hYe+etRj91zen5Ni8iWzu9TTCmM+GuEx9dUoGBGtxmMXzeeIH0QKaYUsq3Z+Gn8WNJvCZV8C+7JXRe38cDyhwBE1SOVnovZF8lz5NGvWh9etQdiWHPZaVfvD6DVo/LeuEm4Vvfmb3vO8/TCnXz5YEuMWvczoNd/3UeT6ED+N0CmpkluXirys1MisOWmMP/Qt3y4Z5Zbn06l4+fei4gOrul+YfJxmNEaLkstzrn9Hd63J7Dk6BJUChWRPpFY7VYSchJ4tNGj7Evax6YLm9ymqxZQjcF1B/P25rfd+tpVasf7nd73mFYvkUi8U+YRLCdPek/3KA3MZjMHDx6kY8eOXsfodDp0Ol2ZruNGJsOS4VVcAdiXvI/qgdVJMaUwq/ssIo2XxI/Mi5B2hqDUM0xpN5m96UexOWyczjjN+NbjsdqsfLLzE+Jz4p1zJZuSybRkMq3LNMasGeOiuLeKbEXX2K5kmNOLFlgCY+C+b2DJI2C95O2iUECbpyCwCpzdCoO/g6N/wZbPXK/dOR8a3gs+Ie7zSkqdinxvhhhCmNplKiNXjHTJa64VWIt3Or5zZXEFIDeVatmZjG3+LNN2fuI0y1Ur1Yxr/iyxWSmQmwYGMVeGOcOrP1G4MRxfrS9vtHuDs5lnifKNct5jyaZkF4Hlt1N/0rZSW+6vdz8JOQlkW7OpEVCDPUl7+ObANzzTbDwumd8KpThBSzwIF3YLkTKykQhd1sgolhuRa3VvFlWmGUQEi0wRktzsVORn502JJRuyEsTzM88MlZujUmq4Qx3CkSo9WFrIz81P48cnrV8l8tgqaO1BYPGvDIMXw3fDxLwACgVJNbuwcsVjPNzwYVpGtORY2jEMagOVfCrxy7FfGNl0JBnmDA6kFKQlx/jFMLnDZEavHu1x2f9e+JcsS5YUWCSSElKuZZonTZrEc889h9HoGvKem5vL//73v2KVaX7uuefo27cvVapUISEhgbfeeouMjAwefPDBslr2TY8nA67C+Gn8eKv9WwTpg4gwRoiKIqmnYMG9kHQUfMOxDPyaj7Z/5FIVJdo3montJvLKhldcolnic+OZun0qr9zyCr4aX05lnCLSJ5IjqUd4Yd0L/NB7QdEL1higZg94agsknwBLlkj72TEfPu9aMK7lw9BjEvxd6PdOoeQKb1cicRLjF8NXPb8iPieei9kXifKNItwYTqghtNhzhK16m3sa3UPnPt9yPPM0ChTU8Isl6NAfBBz6RoiBl/B2L4boQ5jYbiIvr3/Z4z2mUbimY9YMrEn9kPo8t+Y5FwO77lW688otr6AwX2Zq12cKnP4Hlr9c0KbSwt2fQ60e3ktJSiQlxJRnQ6kAldLz77pWpZIpQhKJpOJgyhSeKcuedY06aTOSUP/KvGj3Y0SnjzmRdR5/rS/RdiVhq/6HupqXipcaPVTtBCM3Q8qlPW5YHdBoGNtiLJsvbGbkyoLCExqlhvGtxnMk+Qgzus0gKTeJuKw4InwiiDRGsvL0ShJyEjy+lEKhkHtiieQqKFeBZeLEiTzxxBNuAktOTg4TJ04slsASFxfH/fffT1JSEmFhYbRp04ZNmzYRGxtbVsu+6fHX+nNL5C1svrjZY3+H6A5UD6he0JCTAj89KcQVIKXjs4zbNdWt5GxcVhxTtk/hoYYP8cG2DwCIMEaQYc7gVMYpnl3zLN1iulE7qDbvbXmPPEce9UPqE6AthpKu1opolcAqEL8fPm3nPmbbV9D3YwiqKgQhgBYPgVFGr0iKT5gxjDBjGA1DG5b8YmMwtBiO/9JR+C9/hWohNcBuh9RLkX/9ZzujVwD8df7UD6nvZoz7UMOH3ARMKLjHpnWe6tLeIqIFA5YOwOZw/aC64swKGoY2JDApsaAxqpmoyrX3e9e12yzww0NikxdWu+TvXSLxgMlqR6tWei39rVMryTZLgUUikVQQ0k7B0mfc2zfNhLs+xX/rF/hvmEY1YwjkmcB8ydi+z4fe51RrRLR2YIyzKdxqIjcvl2UnXT0IrXYrkzdPZvEdiwk1hhJqDKVuSF1nf4vIFl5f5tbKtxZvzy2RSFwoV4HF4XB43DTt3r2b4ODgYs2xaJF7aTJJ2eKv8+elW15i6O9D3erXP9b4McIMYa4X5CTDmY3Ob5PDanH4kGd/nCOpR6jiXwUQhl9jW4zlq31fOftXnV3FnbXuJM8hTLLeuOUVgopKDyqMOROyk8V6ur8hBJW0M65jdsyFRgNg3f8gohFU7wwpJ8EQ5PLBViIpM2r1gMjGcHGPyK3OJ6o5XHaCFaQPYmK7iQz7Y5hLafMq/lU4nHrY4/RHUo+QY8mEtLNCFNEHsObsGjdxJZ9vD31Lv1veICxivmjQ+cOqNz2v3WGHPYuh7VOQmyqiWnzCZNqQ5KoxWW1e04NApAhlmKzluCKJRCK5jMyLIj3nSs88mxW2fO59ni2fQ/vRQljxjxJtR/8GlQb8IsGWB1kXRVqRWi/alJ5L2CfnJrLw0EKPfQ4c/H7yd+qF1HPrCzeGM6z+MOYdmOfS7q/1Z1zLcfhqizb0l0gk7pSLwBIUFIRCoUChUFC7dm0XkcVms5GVlcUTTzxRHkuRXCXVAqrxfd/v+fnYz2w8v5EQfQgPNniQmoE13d2/83NCL5Frv8Jm2AF31riT26vdzsKDC10+KDpwoETJQ3UHc2/tAUTpihldknIClr8CR/4UHwIjG0PPybB9DhxbUTAuMx5CakK/6eAXAZ91Eqf11ToJw9uwOtLUU1K2+EeJfOqT62D714BCpK9V7Qj+ldyG1wysyQ99f+CHIz+wNX4rkcZI/DVFO/DnWrNgdlfhSdTsAc6EeD+RSsxNxGazwncPiIYq7aDTC7DmHTjvwYsp+Risfhu2fiE2gE2Hwq3jCjaLEkkJMOeJCBZv6NRKci0ygkUikVwDctPg5Fr461VxYHelZ57NAmmnvc8X3VKksC9/WUR9K9XQ4G7oOA6UGvhnKmz8BExpIuK14/PiUNA3zG0qu8PuNdUHIC4zDps9D5XS9aNfgC6ARxs9SqfoTszZP4c0cxq3Rt9K3+p9ifKVz3GJ5GooF4Fl6tSpOBwOHn74YSZOnEhAQMHmXqvVUrVqVdq2bVseS5FcJUqFkmi/aJ5o8gTD6g9Do9Rg0Bg8DzYEClXfJnwcApValAoldg9Ve5QKJVX8KmPKMzFq1Sisl4kxRrWR6vow2ucqUU9vC32nQeP7QOl9A07aWfi6lzhhyOfiHvj+QRj0LcRtEw8rgOjWENsevh8G5wp9eDy5Fr66DR5fJ1KIJJKyxD8KmgyCOr0ABei9V4FQK9VU8a/CqGajyM7LRqfSkZB5rsh7LFAbUGD4fOZf2lZ/hp+9zN8gpAH6s1sLGs5shB92C+PoBQPcKhcQ1Qz2XvKJyTPBti/E/TZoAfiGF/tHIJEAmIsRwSJNbiUSyTXhxGr4fnjB985n3l4Y9I37M09jFIclJ9a4zxVUVRzmLRhQ0GbPE8/TCzuh94eu0aM5KbD8JchOglufB63rHlyv0tEgpAHb4rd5XHrryFZu4opzKfogWldqTaPQRljsFnw1vqi8RMpIJJIrUy4CS74BbbVq1WjXrh0ajeYKV0iuV9RKNf66K5QA9ImAWx4XqjsQfGg5/av2YslleaEA/avdQUBuFunmFDdxBeDR2gOJXPkW6kOXrl0xAap3KjgpyLOIB5L2kq9PnhVOrHUVV/Kx20TVoCaDYPMscVJw6/Pw76eu4ko+pnTYvUicGKjkg0ZSDuiLn+usVqkJUInxwSo9/avdwZITv7qN61/tDoIdhaKwko/RTBdOmCGMxNxEt/Hj6gwl8NfnXBst2XDgFyEAHVxa0O4TBqG1hM9RYeK2QPpZKbBISozJakNThMCiUyulya1EIil/Mi6IyGhPxG0ueObZ8sBmBvUlAaRGV9g4TUS71Owu9p6nN0CzYbD2Xc/zJR29NF8EZMW79v37CbQYBtqqLs1hvpE80+wZhv85HAcOl75gfTDtojx4EV6GQWPAgJfDU4lEUmyKCAMofZo1a0Zubi4ZGRkuX5mZmVgslitPIKkYaA3QbjR0fgl0fvhu+5KnQ1rxSL2hGC49cAxqAw/VH8bTsb0JXfM+bzd6irtr3IVGKcQ3f60/4xqO4B6HD5pDhYSZrAThrZKbKsot//IULB4KpzaIr21fwJE/vK8tbitENITQ2vDgUvAJheN/eR9/bIVwaJdIrmN8My7wdJ373e+xukN5us79+MYfchlf6Y+X+LrTR7SNbONsi/KJ4pNOU6h7dC1knHN/kbNboErBeKp2gP6zRKi0JzyJlhLJFcg3ufWGVq0iR6YISSSS8saS5fnZmM+57ZB0DP4YD4uGwPoPxfgd8+DB3+C2t8XeNeMctBkJdfu4+wIW5vxOkaZ+OTaLiGbxQHW/KkzrOo1ov2hnW8uIlnzR43NiA6oW841KJJL/Srma3AYGBnqtDAAQHR3N8OHDef3111EWlQIiuf7xDRM5pE2HgCWbUI2BkcbbGVj/AXJNqRhsNkLXTUH7+2Rw2Ak/vpKXmt7PiNvnY1YoMCYcImzHAtSF/VJAmHspVbBxOqwXlYe49TnY/S3s/AZq9wQ/d98KJ8YQqNIWat8mTgZy08EYChz18j4iREUiieR6Rq0ndFYnRnZ7g4G3fUWu3YpBqSH06Bq0szrBQFfzOhoNIHbbfD7URZHa/n9Y7Xn45aQQ/s9n0Pox2PalMOcrjE8ohDcUcymUwmxv0RD307V8/IppRi2RFMKUd+UIFrPVPRVOIpFIyhSVVpjPXv5szEcfCPPvhPRL1fxOrBZ+gPX6wuq34MjygrHHVojCCnd9CosGe57PGAKmDM99XlL0A42hdDZ2plZAdTKt2aiVagI0foQVtziERCIpFcpVYJkzZw6vvPIKw4cPp3Xr1jgcDrZu3crcuXN59dVXSUxM5IMPPkCn0/Hyyy+X59IkZYFK41JCTgtE6XzAlANfdQFzoQeHzYJ++1yij6+GYb/AL6MKStUVpm4/QFkgrmiMUKkprBsqvj+xBgbMFWa2nmg/BkJrFnxvCIAOz8LCfz2Pb/u01weZRHLdoPOF4Opo/36VqL8v6wutLUKNFQpQ6YRAWakJLB6KH+C3YarreN8IqHsH7P/Jtb3JIPj5CVGVy54nxNOqHWDfEvf1aAwQ2aQU36DkZkGkCHk/iNGqlVhsdmx2ByqlNCCXSCTlhE8YNLxXHOhdjsYAOr8CcSWfs5uhfj9XcSWf+L0Qf0Ac+p25bA+qVIn2te+J79V64fcCENlIHHgUQeVL1TklEsm1oVwFlrlz5/Lhhx8ycOBAZ1u/fv1o1KgRs2fPZuXKlVSpUoW3335bCizFIM+eR2JOIgk5CeQ58oj0iSREH4JefZUlUs1ZkJ0IGedFyTnfSBENkh9NZEoX5loZ58WDxBgMdrv48KYPELmnRZ1ap8eJsEZTmqu4Upi0M8Kl/aE/4PDvsH5KwUMlrB50ew0O/FwwvkobOL6q0A/FLK7rNkGYgzkK5aHW73/JRPQyKrcQp/ZbPnNtv/UFz+GZEklhspMgO0H81ycMfMLBp5jVri5hsVlIyk3iYvZFFAoFEcYIQg2haFXFjJ4yZ8Pt78HPj4s0unx8w2HA13BxP9y3QIiWobU8bxDz2f8T9PnAVWBp8yT4x0DfqeJETa0Tnkbh9SDxiNgo5qPWw5AlYsOZcEj8TTGGiKg2H/fKBxJJYcxW+xUjWEAIMT66ct3CSCSSmxmtEbq+Chf3uT/z7lsA6953v6bKLbBjrvc593wLHZ9zFViUaug/Wzy/e70PQbFiX2wIguTjULsnNkMwidkXScxJxGwzE+kTSbA+GKPGWGpvVyKRXD3lujv5999/mTVrllt7s2bN+Pdf8celQ4cOnDlTRE6iBABznpnNFzfz4roXybSKSA+tUsuzLZ6lb42+BOiKb5YJiA+Hm2aKknD2S/ntPqHioRHVAkwpsOJN2P1NgWgREAN9PoS/J0DiIQiuDvcv8ixKpJyAH0fAhT1w18yi15IeJ0rE1u4JI1bD8dUQ2VB8cFz+knidfJRqZ7UiJzvmQaN7YfB3wtldpYXqncEvyvMHX59Q6PIytHxEVA9SqqFaR3GSXwLTUclNSNoZ+O5B1/LFVdrBPZ+J+6MYZFmyWHVmFW9tfovcPFHpx6A28EbbN+gc07l4Gya7RaSy9ZsuUnZSTory45GNhDC69l1xD4K4r3wivM9ls0DlVtD7A8Ahqhzo/MUmcd3/CqoIGYNFZaEh30PaKVGdy78yVG4pomW+GyYqEOUT1QwGzoXA2GL9XCQ3J7lW2xU8WERfjkUKLBKJpJwJiIahSyD1RKFnXgtIPQtnNrmPV2rc96iFybNAeH2Rentht0gzimggxBWlWhyGnN9ZMD62PdYGd7EncRfPrn6WVHMqAGqFmkcaPcKQekMI0geV7nuWSCQlplyNTqKjo/nyyy/d2r/88ktiYsSHkeTkZIKC5B+HK3Eu6xyjVo1yiisAFruF97a+x8HkgyWf8PgqYchlL2QemJ0E8+6EjLOw7WvYNd81IiT9rEgZ6HIp2ijlxKXxl5mAZZwXZrRx28SDRusjRA9PGEMKIlaOLBfO6w3vht9Gw4+PCiPbKoWc0M9tEx8AL2fvD7BwoEhnaPXopZDKIqIKDEEQXldUP2r1iEirkOKKpCiyk+D7h1zFFRCiwi+jhJldMTiVcYpX/nnFKa4A5Obl8sL6Fzidcbp4azEEw+q3xe/8qrfE/bzqTeGV8sMjBeIKiPuwwZ3e56rTG/wrQesRIrIrrI6oCrTmHdcSzTkpMO8uUf65Slto94y4V/V+8OsoV3EFxCbx+4fEz00i8cKVPVhERbdcaXQrkUiuBX4Rrs+8oFjwCxfP28s5/Q/U9hA5nU+9fiIN6OeRwpdlxxz45m44sQ5+ftJVXLk038XMszz212NOcQUgz5HH7D2z2XTBg8gjkUjKnXI9/vnggw8YMGAAf/zxB61atUKhULB161YOHTrEDz/8AMDWrVu57777ynNZFQ6b3caSo0uwOTxvMGfumkm9kHrFj2LJjBcfni7HJxSaPSA+SEU0hJrdxAe3wiJLTor48qsEmRfEV/IJoeoXHnO60Iet3Yug41hY46E8XZdXYOsX4t9V2kDMLWDJhCb3i8iU9DjxYbHWbXD0r4KUo2qdREpC/X6iNN75HWDKhBYPizF6f5HWJJGUFtlJQuDzxIlVIh3HagKHXfxuGoPdhuVYc/hyr7vonM/X+77mzdYvo7Nkic2bT5jwNrqcvNyCeywrXnzpAyH1lLgnCxMUKwTOqh2EYFkYnb8QGLOSQJUm2pQa2DDF8wJtFjjwkzC0zic7Sbx/T5zbLlKGrpA/Lrl5MVvtaP2KkSKUJwUWiURyjchJEYcLCqWIdrbniQO6s1vEftUnVKTz7JwP0a2FoW3htCIQ19W+Deb3F/uEC7sL+kJriOfl5US3YtWFTVjsnqNiZu6aSavIVoQa5DNWIrmWlKvA0q9fPw4fPsysWbM4cuQIDoeDXr168fPPP1O1alUAnnzyyfJcUoXEardyNM1L1RvgbNZZzDZz8Se050HqSde2Wj1Eysy/0+Gfj8EQCE0GQ4uH4MfHwJpTMDbtjHhQ5H+QSz0pUmzyudxv5cAvEFQN7v5MRMaknhJeDi0fFv4p57YJZ/W000LZX3ZRpBf0eFOIKqveFF4Q1W4V4ZM75sE9X8HOefDny0KQqdYFbh0Hf74onNxr9RS+LCE1QSXDyiWlgCnNc7tKA3fOhH0/waYZQlCo3BJue1MIlTpf51CzzVxklMrpjNPkHvoF3dJnQesrBMPWIyCgsutAs4dS4j4hkHTEvd03EnYvhuYPQo2usOc7IQZV7wSNBoh76J7PYWZnwCG8i7q9Ab+PExvGy7mwR4iu+RXiPK2lMKb0ovslNzUmqw1tMTxYZASLRCIpdyxZwtPsr1fFXtUnTESyVO8C9e4UKbD/TBWR3BGNhIdK6gm4b56IrN6zSKQF1e0DrUbAgnuEuFIYpQos2Z5f3y+SQ9neS0XHZcaRVzjSVCKRXBPK/ZNm1apVefddD5ELkmKjVWlpHNqYf897rnxTO6g2BnUJKt+otBBWFxIupRb5VYIWw2HxkIKUoZwUIbac3Sw+KC4rdGIdUkOo9PmE1nad3+Ah5eufqeAfBY3vg74fi6o/S0eJ1+k0XggtB5cWjD+3A354CO6cAfH74JenRZ5qk/vFg+q7B+HinoLxx1fAqXUwaIF4CB5eJk7VH1sHYbUvX41EUnKMXlLOOr0Ie78XYmA+cVvg69th6E9Qo0vBFGojdYPrehVM6wVUw3hinbgPTenwz0dw7G8Y8oNI48nHEOh+cVaCiFa5nLQzEN1KeCJFNRP3oEYvUocWDoSQWiIKJT9Vb88i8Zp3fwYL7nWNYAOIbVsgroCIFlMo3Mc51+oeySOR5GPKK9rkNt+DJdcqBRaJRFLOnN0K3/QveL5lxQuxpU5vaDRQHOrlc3GPeKbe/QX8NQFyk8XBhlIFp/4RKeyenpN2mzhQ8UTaGZrWbs9vXpZXI7AGWmUxzfElEkmZUa4eLABpaWn89ddffPPNN8ybN8/lS1I8lAolfWv0RafSeewf2XQkftoSpMP4hokT6nxaPAgbprr6seQTt1WkHuSLJv6VhUCTnSi+D6kJQVVdrzGEeM5BzTgvqoxofUR6Q04KxLSG2rcL01xPrH1ffIANrALx+0EXKAw9C4sr+dgssGmWKCcLIpxz7fveTwYkkpJgDIWa3V3b1DoRjVVYXMnH4RBRIJnxziadWsfwhsNResjdVilUDI29HW1hoRGEwJiw/7K1hAmhsTDmTPG7HlJDCB7595Y1R6xRHyDyu1dOhD9fEuWWbVZoPxqSDrvOlZMMx1aKiJfC6PzEnIXxCRdRL56o2V2mB0mKxHIFk1vpwSKRSK4JWfHiGe5JFDn8O2h0Yg9QuYUwkw+pKfr+egXq9hb73L8nwPJXxPjNs+HW5z2/Vvx+9+ctwIXddAhvga/GswAzuvloguUhhkRyzSlXgWXp0qVUqVKFXr168fTTTzN69Gjn15gxY8pzKRWeyj6V+eK2L6jsW5AqEKgL5MNOH1IjsEbJJ4y5Be74SHxgCq8vhBRvnN0sxkQ1g36fiA9oADFthLv65aWa/cKh13vCzCv/pFuhhHp9RXtANAxaCMN/E2GW274WETT3feNaMQhE2pDWBzo8Cw//Jcw6D/zqfa0n10Dl5gXfH/tbpihISgdjkPj9r9e34Pc6qDokeU/fI/m4W8pcFb8qzOw20yVnOtwYzqdtJxGzcZYoPX45+392/d4QIKr+NLi7wGhPoYCz20TJ5GG/QmwH4QNzy5NCHHrgF1GyOR+dP3R7XUSy6QPdX/PkWleD6ZAaMHyZe7UkvR/cPlmc5hVeS907xM/LgxeNRJKPKc9erBShHCmwSCSS8sSU6TlNNp+cFLj/OyGMGENE2vt934g9q6dqgPuXiMPCbq+LMfmE1xfeLHfOEM/NwvvmRgOpFFCVObfPoap/VeclvhpfXm/7Ok3CmpTOe5VIJP+Jck0RGjduHA8//DCTJ0/GaJS12v8LapWapuFNmd9rPqmmVGwOG0H6IMIMYaiUqpJPaAwShrY1e4gTbrW+IEXgcvwrQ9unhJmszSweIBofcTLt7cNTUCz0+UhUHDJliNNzYyj4hoItT3woXXivOEHPxycU+s8WTupZCaJNoRA5sL89KyJlHv7Le6oGgNbP9X3o/Dw7vUskV4N/lPBb6T5RCCeG4KLFSYXSzaRWr9bTLqodi/osItWUikKhIFBtIPzHJ1FcbkKbj6ffef8o6DsNur4q1qLzF0LJqfWw5OGCiLRdC8XYu2YJscUvQtyDIHyMzu2A295yn1/nB40HCn8mpVrcv35eyj37VYI7pkDnFwvW4hMm0ockkiIwW+1o1Qqv/U6TW5kiJJFIyhOVWjzDL/dMAVGUwRDkYR8bBv1neb4G4I/x4gCkXl8h0Kh1Yn8cXE303/WpiBDPf476hqPU+VGHcL7u+TWp5lSsditBOrH/V0uPQYnkuqBc78Rz584xatQoKa6UImHGMMKMYaUzmUoDgTGi8knTIbDNS3WTur1d04ACqxRvft9LgsrlZF6A74a6PpRA+ECsnizKLK+eLNqqdRIu7SDMcf96VaQ0bPjQ82s2HihMdfNpPUKkMEgkpYXe/zLhwCHupct/n0Gk03gQRxQKBRE+EUT4XBIsbFaIaete5SefxgO9rMVPfOWTdBR+esw93S/jPGz4CCIbwrKxrn23PO56z+TT9mlxrxf3ftf5ycpdkhKRZ7NjcziKTBFSKRUoFdKDRSKRlDPGS+nuh5e597V5ShSAcNvHJopiDbeO9zxny4fFQYW3wwq3/UUBocZQQo0y5VYiuR4pV4GlZ8+ebNu2jerVq195sOTaodGLMsqn1rmmO9S/S4gZ5ixIPCyiVXLTIDdVhD8aQ1yNNy3ZIvLElC4+aPmECmX+clJPCr8IT5zbXlAC1q8StBsFSx4p6N+/RJzY93gT/n7N9drIRiJUc9Fg8X1MG5G2oJQRLJIyxDdCmNr98JDrqVVANPScXDzRQaWBVg/Dsb9cSzeC8EvyrQSppwvuPW/RYxf3eE4xApE+1/VVcfJmt4m1nlwv0oy+vswzqf6dIo1QIilDTHnifikqRUihUKDXqKQHi0QiKV90ftDzbbHPrd5ZPDfVWkg8Jp7ZFi8V9M5ucU0ByqfqrVCnl6gqlHWxIILFJ0x6lUkkFZxyFVj69OnD888/z4EDB2jUqBEajWuofL9+/cpzOZKiCIgWYYsX98KhZdCgP5zdBHN6C7PYR1fA9rmw7YuCD3BV2kK/6RBaEzIvwso3Yc+34iGkUAjlv/cHHkrMehFX8tEYhFeLXyVYOlp8qMzHbgOHTTiz1+wuyuDlJou81aBY2PO96Gt4N4TW8X5KIJGUFhoD1LoNntoi/IHSTkONbhDd0v13vyj8o2DwYuGJcuAXkX7UaIAQKf+dBptmut57/We5G0wX5TfkcIjTtUWXTKB1/tD9dZEC+MjfohKSwwGN7hVl1X1LKVJOIvFCftpPUVWEQKQJyQgWiURS7mh9RSrQkkcL0s9r9YTA6KKv0xjgkRXiuZqXKw4yQmqI+bZ+AavfLhBoIhrCvV9BWJ2yfS8SiaTMKFeBZcSIEQBMmjTJrU+hUGCzyQ3TdYV/lPiq2UMIKWsuldfu/BIc+Qs2zXAdf+ZfWDQIBv8A6/4Hu74p6HM4hGu6ORMGznM9bb+8rHNhfMIgMBZ+f86zuVh4vUsPvADxFTHBtb/rKyV7zxJJaaA1CgPZW8ddeWxR+FUSX/nVBGxW+Odjkd5TmDP/wjf3CNPZwibTlVt4nzsw1jV1yJwhyq/fFy4MqaNb/re1SyQlxJwfwVJEihCISkLS5FYikZQrNhvsWSz2t4U59rfwG/OGb7jwQwuuBjGtXPv2/gDLX3Jti98nDjNHrBFp+xKJpMJRrrkSdrvd65cUV65jMi+IHNJ8at8Om2cJYaPFQ3D7O6LUXFA1kVKUfkaUpwvwoOifWl9gWJuPb7iYxxM93xGnBYHV3PsUCuj1P3G9RHIzkHlRCCyeSD4G6edE1ErGBfFftQ7q9PY8vtN40X85q9+BtLOlt2aJpJjkR7AUlSIEIoJFmtxKJJJSITtZPFstOUWPy7oA6z9wb1eqRSR1owGiql7HcSIduNWjIuL01vGeiytkXoRVb3pZU5JIkZdIJBWSa2ZGYTJ5qVAjuf7IM4k/9vnYrBDTGgZ8LVIMNk6H4yuFP0uPNyH+gBBlOr8ool0uJyve9Xt9AHR5BfpMEaKMQiFCJIf+JFItjMFw1wzhPeETKvpjbhEVhAqXYJZIbnSsOW5lnp20fATM6bD4AfiiKyweCunnoc1IIab4RYp7J6q5CD8+/Y+Y73ISD4E9r2zfh0TiAWeK0BUiWLRqpfRgkUgk/42sRNj/M3xzN3zeVaSgJxwSniiesOa6pqjnYwwW1fdaPgy3vQkn18G/0yE9DgZ/L567Ocnu19ksoliDN+K2Xc27kkgk1wHlmiJks9mYPHkys2bNIj4+niNHjlC9enVee+01qlatyiOPPHLlSSTlT37ZuHw/B50vNB8G395f8EEs45x4wLQYDs2Gwb8zYMtsaPeMqEi0a0HBfJ7Mu3zDxMOpbh8xp1rvOs4vEtqPgiaDxEmBxui9JLREcqOiMXguoV6jq8jnnt+/oC3jvNjo9XxbGFN3elFEgyUdhr8nCNG0Vk/31wiqKkuZS64J5mKY3MIlgUVGsEgkkqslNxVWvQU75hS07f0ODvwMD//pOb1WrRdmtZZs13ZTuiiqcOg3sffNJ+M8HP1L+KMZPOxXlWphin/5oWM+EfVL+q4kEsl1Qrnuot9++23mzJnD+++/j1ardbY3atSIL774ojyXIikJ+alA+eSkCEMuT6fc2+eIKkQ4xPf/zoAGdxX0V71VeEp4QqEQQkpAtGcRRqkS7u0B0VJckdycqA3Q5H739hbDYc07nq9Z864wwf1tDHz/oCh5nh4Hje+Dg7+6j2/zlEy7k1wTnClCV/RgUUoPFolEcvVkXnQVV/KxWeC3sZ4jTnwjoNVj7u3WXCG8bPrUvc9hh1Vvg8LDGnwjoeNznten9YHY9kW9A4lEch1TrgLLvHnz+OyzzxgyZAgqlcrZ3rhxYw4dOnRVc77zzjsoFArGjBlTSquUOEk7C6f/hR1zod4d0HhQQahj4mHv153dAt0mwH3fiFSf9DiRlnD/Imj3lIhmObVRmNYeWX4pxWiNUPslkopGepwwfd44HY6tFD4oeVZRRnn/T6L9zCbI9HJKBaLceeJh2PIFbP0Sko5AbrqIMrmwC/6dKe6b3BQhWNbt43q9UuW9Gpc50700ed1+cMvjIsKl8BytHwO7RYioEkk5Y7aKCJYrVRHSqpXkWGQam0QiuUpObfDed2GXeCZfjloLbZ6ARgNd2ys1hZSTQkzxRNppz/MplaJCZ+snXKNGfcNFFU9PPoYSiaRCUK4pQufOnaNmzZpu7Xa7HavVWuL5tm7dymeffUbjxo1LY3mSwqSehp+egDMbxfdKlfByGLH6ytfmmWD9hyJs8u7ZIgLmzhkw/y4RChlcHXrVgS+HuH6QC4iBYb+IVAeJpCKQcBDm3uHqUeRXCYZ8LzxQCudXRzaG+7913zRlJ8M/H8HGT1zbH14uqgUd+bOgTamC298VZchbDBdip87Pc/hxYfwqwePrxCbPPwriD8Kvz4j0IbVenMAZguDgUnHaVv+ukv8sJJL/SPEjWFRkmEq+Z5BIJBIAVNqi+72lydrzoFJjaDyg4PlryQGVpuj5lCrP7b5h0PVVaPO4OKzR+oJfBPhWcj8YkUgkFYZyFVgaNGjA+vXriY2NdWn//vvvadasWYnmysrKYsiQIXz++ee89dZbpblMiTUXtnxWIK6AKOe68RPYNBMeXQ3RrSBuq/u1SpUQSNIvVSH55WlhRrt4cEGeaYex8Nuz7qfk6WdhyaMw5AfwCSmb9yaRlBaZF2HRYFdxBYTB809PCNPZv18raL+4R+R895kiyjg723e7iyux7UXpx8LiCoj78I/xcP9i+HaQ2CTmmcU95hMmTKcvxydMCDDBhSpxWbJEhYIfHxP3rFJT4OvS+jEwyvtPUv6Y8opfRSjHLFOEJBLJVRJzi4jIdjjc+6p1Ap2/e7slRxxA7F4ovtcYxPPXYRfPZLVOfH85EQ2EEOMNvZ/4Cq5+de9FIpFcd5SrwPL666/zwAMPcO7cOex2Oz/++COHDx9m3rx5/PbbbyWa66mnnqJPnz507979igKL2WzGbC74o5eR4aUKx81AVgKY0kChEifWnrxMMi+ItCBP2G1wer2o+vP9gwXGt/l0fQ12LSz4PicZMs8LZR7EqYAxqOD7yzm/A3KSpMByk1Ch783sREg54bkvfh+EvuLevu8HUVlLe0lkNmfChqnu4xoNgLXvep7b4YDTG0V1AnOmEEg0RhHZ8tPjrt5ISrUoF2m/7MNoYKwoIbn1C9GX3x8YK4ypPZVvltxUXIt7syBFyJNhQQE6aXIrucmp0M/O64GcZLj1eVj7vmu7MVgUVLBZxOFJftUgQ5Awt933fcFYa27Bv7d/Bb0/hF+fdp1P6yP2xbY8caiYmyoKNegDpdeZRHIDU64CS9++fVm8eDGTJ09GoVAwYcIEmjdvztKlS+nRo0ex51m0aBE7duxg61YPERQeeOedd5g4ceLVLvvGwGqC8zvht9EF/inRraDvNAir6xqKaLd593MA4c2iNsBDf4gT9hNrhTlt/X5wdIXwnShMdrL4AGjJFifu5qyi13p5hRTJDUuFvjctHkocF8bmIYXBZhUbt3zyzJ6jTvT+ntvzyUqAPYvFl1It8rhbPgKDF8Oh3yH5GITUhLq9hfHe5SdjxmAh9DS8BzbPFkJpw7tFNSKZ9y3h2tybJqsNrUqJQlG0wKJVq6TAIrmpqdDPzuuBi3vAlCG8Ag/8LMSU6JYismXXt3DLE7DsWbi4V4yv1ESkunt6roPwE2x8HwxdAvuWCC+2yEZQo4uIeunzAfz8JMRtEePD6sAdU4U/oUZfHu9YIpGUI+We4NezZ0/Wrl1LVlYWOTk5bNiwgdtuu63Y1589e5bRo0fzzTffoNcX74/SSy+9RHp6uvPr7NmzV7v8ikvKCeEVUdicNm4rfH07pJ9xHavWi5BGb8S0EQ+dL2+DpGNw53QREbNkBGz/2n18aE3xIAMhnhiDRWimJ9R6oexLbgoq9L3pG+Y9T1ulFcLH5fhXFida+ej8RTjy5SQcEAKoNyo3E2bSICJW9n4Py18WRnvpZ0WaXkYcLLwPTqzxnPLjEwqx7eDuz2HQQlF6XYorkktci3vTlGe/ov8KgF6jJFdWEZLcxFToZ+f1QOWWsHmWSOd1OMQhxKkNIu23xTCxX84XVwAu7BbPV//K3udUqkXarTlLPIMv7oUF94r9t1JdIK6A2IvP7Qspx8vuPUokkmtGhXNQ2r59OwkJCbRo0QK1Wo1arWbt2rVMmzYNtVqNzea+6dLpdPj7+7t83VSYs2Hd/zyXVTalw74fwV7I/TwwBrp7ORkJrQV5uUJIsWSJXFRbHgRVBauHE/1aPUS0S6tHC9qOr4YGd3uev/0YYfAluSmo0PemMcy1fHlhWj4MB35xb+/xpjCcNWeJKkEgIkcKiy4AO+ZDu1GehcjAKsJXJfWka/v5HaKM5KkNsO0rcaJmz4NWI8CniFBktdbVE0Yi4drcmyarrVgCi04tBBaHJ/8EieQmoEI/O68HgmJF9IglS0ScbPtKVPur0wf2/yIOA8PrQZsnxVdYXZGO23Gc5/miW4IDkXp08Fcx38m1Qry5dZzYZ1+OPU+kKFmyy/StSiSS8qfMBZagoCCCg4OL9VUcunXrxt69e9m1a5fzq2XLlgwZMoRdu3a5lH+WXMKS6aqcX86J1UI0KUzl5sK0K7+ij0ojfCHu/gL+etV1bOZ5kWLUY5L4gAfiA2OrR6HpEEg8BB3HCtHGEARbZouHWIdnC4zEfELh9veg9QgRxSKRXO/o/aDzi9DlVdAHiDZjMNz2FrR9WlQDyPcyCYiBAXOhShs4+peoMLTgHuGB4gAGzhN9+YTUBGMo3LdAbPJAbO7q3ynCiv98yfOaMs6JjSCIe63b6+Le0/l4Hi+RXEeYrPYrGtyCSBGyORxYbVJgkUgkV4FvOAxaAM2HFzynA2PFszt+H9zzBTQbKiJXLuwWEZ6+ESL9ts+H4pkO4tqmg6HjcxBcVZRczj8w8YsUYyu3hH+mel7H2c0FEd4SieSGocw9WKZOnVqq8/n5+dGwYUOXNh8fH0JCQtzaJZdQacWDwZuxbEAV95J1uamiRGzrx8VDAuDo37BjjnjQbPioYKzWF1a/DdGtodtrQjSx5wkvliWPwPDfhYDS9hlodK84GVDrRanZlo+AzSyiXPwivZeyk0iuR3zDhVDY5H6wXfq99qskfo97ToYOY0TOtsYIKjX8/gLsX1JwfdxWkZZz16ciVajtJYO88ztF5a26fWHoj8JMT6kWp2GfdRJG1Z4IjBWbRmuOWItvJZCis6SCYLLa0KiL9l8B0F+Kcsm1FC/iRSKRSNzwj4Je74oIk/zntM4POr0AKyfBhV0FY09vFBUut30pDjE6jhWptw4HHPoNvhsGA+aJA5fWjwqvNbUOAmLhdy9RLyD2C9JUXiK54ShzgeXBBx8s8TXvvvsuTzzxBIGBgaW/oJsRYzDc+hx8e7/n/lseExEq+ZizYMUkOLtJRL4Yg8UHvPwwxvu/LShHpzGKErC1egrD27ObXef2jShQ+lUqd4+HwJjSeY8SybVCpYZAD94lGr1I58nnzKYCcUXnJ0TN3BQhfO79QYgma99znaPJILEJzCc3TaTd7f0eN/SBwjiv8HiJpAJhzrMVK4JFpxFjcqx5BKC5wmiJRCLxgsbg+pwGSDvtKq7ks+8HaHQf7JwHvz3r2qfzg8gGYPATX4VpNcJ7Zc5bn/NczVMikVRoyrWKUHGZPHkyAwcOLLbAsmbNmjJdzw1BdGtxOv7v9II2pQp6fwBB1VzH5qbCkT+EH0rVDpB2RlQ1Uahg4zSh5FdqCvH7haLvHyXmSY8ToZX5+ISK03f5gU8igZ3fCFPZNiOFWGnNEeLjkT9FDvhtbxb4tiiU0HWCEEwKYwgUJ2Qpx+HcjoJ2faCoIBQYW17vRiIpdYobkaJTi6isHGl0K5FIrhaHAzLOi0IP2SkiJV4fALsXeR6/70ex500+Cmf+LWjX+YvqQX5e9rpBsdD3Y1g2VlTpzKfNSFG1SCKR3HBclwKLNK4rA3xC4dbx0GI4nNsGKh1ENRMpDpcbbOIQD4Ojf8GCqQXN+kDoNw2yEqFeXxHa6Bd16QQ/Rogp6Wch4aD44BhaUziuX6HkpkRyUxBSWwgsPz0hjPVA3BvNhkGXV6BKW1HRR6GAyi2EMa3O132e4KoiFDnjvCg16V9ZCDGBseJelEgqKCarHU1xIlgKpQhJJBJJibHbxfNzwb2QnVjQXqf3pYjvQa5iCIi0n7XvCX+W7CS4uE8UZQirKw4SvaW46/2h4QCRBnx+l0gnrtxS7L/z/dskEskNhdyN30wYAsRXaK2ix+mDIPWU8FApjCkNfnocHltTYKRZGL8I8RXdspQWLJHcQNTsKvxTClfzcjhE6HCfKeAfI8xti0NgjPiqIk+/JDcOJmtxU4RkBItEIvkPZJyDeXe6+5kd/l2kDNXpI6oBXU7jgSLVPSAaopoW//V0PqCrBsHVrjxWIpFUeKQ7nMQdSyZs/dxznzUXzmyBzHhhCiaRSIrHod88l0oH2DQTzOll99q2PEg/B6mnISuh7F5HIvkP5BazTLPT5NYqBRaJRHIVxO/zbha/Y57wP7ucsLpQs0fR89ptIro09bTYJ0skkpsSGcEiccdmhZwU7/0Xd4sPi+H14JYnwL9S+a1NIqmIOByiXLk30uPKTrDMvAjbvobNs8SGMrQ23Pa2iH6R4cmS6whTno0gg/aK4/I9WHItXgRLiUQiKYqUk977rDkQXB16vQc75hek8tbrI1JyvZEZD7sWCK/C3FQxR49JwsvQEFT670EikVy3yAgWiTtqvXgweCOiASTsh3+mwpKH5Ym4RHIlFAqRf+2NyEaimkFpk50MS0fD2ncLTuuSjsDCAXB8tRB+JJLrBJPFXjyT2/wqQjJFSCKRXA2VGnvv8w0XvimtH4dhv8ADv0DrEUWLK7mpsPwVWDlR/Bsg5QQsHgqHfnf3c5FIJDc016XA0rFjRwyGMviwcbPgcAgDr6vFLwK6v+Glr5JQ4tPjxPfmLDBlXv1rSSTXK//lHvJEja7eT7G6Tyy6VOPVriXzgqhS5InlL4t+ieQ6wZRXvBQhtVKBUiEFFolEcpUE1xBVgzzR+SXwrSQORnxCwSfkysUashJg3/ee+/5+TUSSSiSSm4YyTxHKyMgo9lh/f38Afv/997Jazo1NVqI4nd4xV6jlzYZCeH0hmJSUqrdC32mw4vUCNT7mFuj0gjgRD6kBt70FCYdg5esi4qXJYAiMBq2HyicSSUUh/RzEbRWlk33CoPkwCKoqSiT/FwKrwEN/CKPoC7tFm2849PofRHo5Tcs4D+e2w97vwRAMLR6EwKpgLGa48YVd3vsyzoFZiqOS6weztXgRLAqFAr1GRY5MEZJIJFeDfyVRcvm3sXBitWjT+UOn56H+naAs4flz4mHvfTnJIoI0oIgIGIlEckNR5gJLYGAgiisovw6HA4VCgc0mT6OumqwE+P05OPBLQdu+H6B6Z+g/G/wiSzafMQiaDoWa3UQ5uozzcGEn/DgCUcZ5qvigmJ1UcM3GaXD3l1C3d9mkO0gkZU3aWZh/JyQfL2jb9iV0fhluefy/iSwKhfAtGvqj8DiyW0XFLr9Iz5u59Dj45m7Xjdv2r6HDOGj3TPFEFmNIEetRgurKfhcSSXmRW8wqQgB6tUpGsEgkkqsjJwVObYBKTeCWx4QHmt0mIj6zk4p+dnriSnsDte6qlyqRSCoeZS6wrF69uqxfQgJwfqeruJLPiTVwYi00ua/kc6pUohSdIVgYZO7+VrR3HAfrp7iKKyBSk35+HJ7eJk78JZKKRJ5ZiISFxZV81kyGen3/exQLXAo5Di16jM0Km2d7PhXb8CE0vKt4AktEAyF2WnPd+2r1LPkmUiIpQ8xWG7piRLCA8GHJlQKLRCK5GrITRTS2ww7/XNaXmwp3zgTfsOLPF1RNmMabPFQDrNpBPmslkpuMMhdYOnUqwthRUjpYsoUA4o3Ns6BW96v/A681QpdX4NwOSDoMUc1g/Yeex9qscGGPFFgkFY/sZNj5jff+/T9BRP1yWkuiSPXzxu7vvKcVFcY3EgZ9K0xtC1cpCqoqKiTo/f/zUiWS0sDhcGDKs6MprsCiVsoIFolEcnWc2iDEFU8cWwGm1JIJLH6V4P5FML8/5JkK2v0rQ79PZBUhieQm45qUac7JyeHMmTNYLBaX9saNi/GBQeKOPU+UlfOGNfu/G3YGxgg39cRDoNIUPdaS9d9eSyK5JthdN0aXYy6+n9R/xuEo+p42ezgl84RaC7Ht4amtIpIt9RRUbS8iW/yjSmWpEklpYM4Tz6jipgjpNDJFSCKRXCVF7VMddrGvLgkqNVRuBU9tFuJN0jGocos4CJHeKxLJTUe5CiyJiYk89NBD/PHHHx77pQfLVaLzh4b3wplNnvvr31U66rl/JfGVGS9MbVNOeB5XucV/fy2JpLzR+YlKP8dWeO6v16/81qL3Fyk8h37z3N/gnuLPpdZCcDXxJZFcp5is4vlfHJNbEBEsuVZpciuRSK6Cqh2990U0EPuBkqLWiOhQGcEtkdz0lGuZ5jFjxpCamsqmTZswGAz8+eefzJ07l1q1avHrr7+W51JuHGx5ovxbze4iB7ROb7jjI+j7MTToL8ITmw0V6npp4RcBfT7yXLau2TDwCS+915JIygt9APR4E9R6977YdhBas+RzZiUIg2hToegXu03csxnnweIlSkXnB90mgMbo3le5FYTXLflaJJLrGJNVRLAU24NFrSTbLA9lJBLJVeAbIXzVKjUVFTH7TYc2T4pU+p7vQkDMtV6hRCKpwJRrBMuqVav45ZdfaNWqFUqlktjYWHr06IG/vz/vvPMOffr0Kc/lVHzSz8H2ObBznogoGfIdbP0KVk8WIY71+sGwX0V52NImphU8ugpWTIRz20QllI7joGaP4peQlUiuN0JqwWNrYc27cHyliCRp/Tg0Hig2ZMUlKwGO/AX/TBHl02NaC8HEJwx2L4KtXwjvpNo94dbxIrpEqXKdI7iGWMvad+Ho36DzvbSW+0peFUwiuc7JdUawqK4wUiCqCMkIFolEchUEVIbb3hZVg7bMFs/p6FYw+DsIjL3Wq5NIJBWcchVYsrOzCQ8X0Q3BwcEkJiZSu3ZtGjVqxI4dO8pzKRWfjHMw/y5IOiK+7/MhfHMvpJ0uGLP9azi8DB5dWfoii9YHKjeHgXPFKbxKDb4yckVSwVFrRHTIndOF54pCKSKyPJVR9kZOCvz1GuxZVNB2bAUcXwUD5sLO+eL+BdizGA4tg8fWQGgt13lUagirDX0/EZ4rCqUQaC4XYiSSGwBnilAJPFiSsy1XHiiRSCSXk3Ee/noVDhaKnj++Ek6ugQd+LpnBrUQikVxGuaYI1alTh8OHRdnRpk2bMnv2bM6dO8esWbOoVKlSeS6l4nN6Y4G4Urk5xB9wFVfyyUqAnQugrPxtDIEQECXFFcmNhc5XmMD6RZZMXAGR/lNYXMnHYYfVb0OrR13bLVmw5j0R0eJxLT6F1iLFFcmNSX4ES3FThPQapYxgkUgkV0fmRVdxJR+7Df58CdLiyn9NEonkhqHcPVguXLgAwOuvv86ff/5JlSpVmDZtGpMnTy7PpVRsrCaRZpBPTBuhvHvjwE+Qm1L265JIJHB2s/e+xEMQEO3efuR3yC1mZSCJ5AbEZCmpya2KbFlFSCKRXA2n1nvvi98HlnKsGiiRSG44yjVFaMiQIc5/N2vWjFOnTnHo0CGqVKlCaGhoeS6lYqNQgta34HubxbMZZj4aozz5lkjKC20R96JCIe7fy9EYQOnBNFoiuUkw5ZU8giVXCiwSieRqKLyHvhyFApTl+vFIIpHcYJRrBMukSZPIySmommE0GmnevDk+Pj5MmjSpPJdSsVFrofWIgu+PLBelmL1xyxNgDC7zZUkkEiC6tXdBs1pnzxEuLR4Co8z5lty85FxFBEuuxYbD4SjLZUkkkhuRqh08H3YA1OgOerlnlkgkV0+5CiwTJ04kK+v/7N13fFRV2sDx3/SZlEnvCSQQeu/SBFRQ7H3tomKXta6uZXVd9dVdXdeyroodFXtviAqIIKD03iG99+n1/SMmMMxMSJ0k5Pl+Ptk199y59yTk3HvnmXOex+S33WKx8PDDD4eyK91f/AAYeVn9f9fk1c9i6X+y/35Z06DP9JB2TYgeLSKxPjFtoO0z7oMN7/huTxxcH2Bpz1LqQnQz1hYGWPQaJW6vF7vL05HdEkIci8LjYfa//LdHJteXbY6QWfVCiNYL6RO91+tFofCfBr9p0yZiYyVa3CIRCTDzYRh9Oax7C3JWwYwHYOItsH5BfaKu0ZdD4hCIbEF5WSFE22jDYfBZ9cmn178NNbmQPQv6zgBdJFz6SX15dVt1fcnltNH1SWyF6MFsTjcqpQJ1M5NK6/8o52xxuNFrZAmsEKIFwuJgyDn1pZk3vF2f9LbPdOh7AsT17ezeCSG6uZAEWGJiYlAoFCgUCvr37+8TZHG73ZhMJm644YZQdOXYEh5f/5U+vv77hgfT3lN8vxdChJYuAhIHwSn/Bx6X73ru9DH1QRWvR3IjCfEHq9Pd7BLNADpN/b5mu4vYcG1HdUsIcaxqeIZOHQkuR/3yeyGEaAchCbA888wzeL1err76ah5++GGioqIa27RaLZmZmUycOLFZx3rxxRd58cUXOXjwIABDhgzhwQcfZPbs2R3R9e7hyEDK4d97vWCprE/aJXlYhAi9QMnyFApQHBFckbEqejCrw4Ne0/wAS8OslYbyzkII0WqBgiuH35MNMfX/L4QQzRCSAMuVV14JQFZWFpMnT0atbv1p09PTeeKJJ8jOzgbgrbfe4qyzzmLDhg0MGTKkXfp7zKgpgB1fwsZ365N5jb4SBsyW5QhCdDU1BbDz60P5WRrGalRa5/ZLiBCxOt3o1M2f0dUQYDHbXR3VJSFET1VTADu/qV8+BDD6Chh4KhjlniyEOLqQ5mCZNm0a+/bt44033mDfvn08++yzJCYmsmjRIjIyMpoVIDnjjDN8vn/sscd48cUXWb16tQRYDldTAG+fBeV7Dm375g5Y+zpc+qHcJIToKmoK4O2zoXz3oW3f3vnHWP1IgiyiR7A53c0u0Qyg/2Nfi5RqFkK0p5oCeOccKNt1aNu3d9Xfky/7WJ6fhRBHFdIkHT///DPDhg1jzZo1fPrpp40VhTZv3sxDDz3U4uO53W7ef/99zGZzs5cY9Qheb/2n4YcHVxqUbIV9y0LeJSFEAF4v7PrWN7jSoHQb7Psp9H0SohNYHK7GvCrNITNYhBAdYtd3vsGVBqXbYc+Poe+PEKLbCWmA5a9//SuPPvooP/zwA1rtofWOM2bMYNWqVc0+zpYtW4iIiECn03HDDTfw2WefMXjw4KD72+12amtrfb6OadZK/1Kwh1v/FlhrQtcfIYLocWPzSNaqo4zVBWCtDll3hGgQ6rFpdXrQtCDJbUOARWawiJ6ox987O4qlsn5ZfTDr36q/bwshRBNCGmDZsmUL55xzjt/2hIQEKioqmn2cAQMGsHHjRlavXs2NN97IlVdeyfbt24Pu//jjjxMVFdX4lZGR0ar+dyuKJv5pFUqQXF2iC+iRY/NIRxurQnSCUI9Nq8PVoiVCGpUCpQLMDpnBInoeuXd2FEXTz8cKJfIALYQ4mpA+vUdHR1NUVOS3fcOGDaSlNX9No1arJTs7m7Fjx/L4448zYsQInn322aD733vvvdTU1DR+5eXltar/3UZYHIyZE7x97NWgjwreLkSI9LixeaSw2KOPVUN0qHojRKNQj02Lo2VJbhUKBXqNCotdZrCInqfH3zs7SlgMjLkqePvYa+SeLIQ4qpAmub3kkku45557+Oijj1AoFHg8HlauXMldd93FFVdc0erjer1e7HZ70HadTodOp2v18bul/idD8nAo3uy7PW0cZE7tnD4JcYQeOTaP1G9m4LGaOhqypnVOn0SPF+qxaXG4iTZoWvQavUaFSXKwiB5I7p0dKPskSBkJRRt9t6eOhj7TO6FDQojuJqQBlscee4w5c+aQlpaG1+tl8ODBuFwuLr30Uh544IFmHeO+++5j9uzZZGRkUFdXx/vvv8+yZctYtGhRB/e+mzGmwiUfwP6fYf2b9dMax14NvaeAMaWzeyeEaNAwVg8sh3VvAIr6sZo5Vcaq6DGsDjeJkS17w6jXKLE6ZQaLEKIdGVPh4vd878ljroKs4+WeLIRolpAGWDQaDe+++y6PPPIIa9euRaFQMGrUKLKzs5t9jJKSEi6//HKKioqIiopi+PDhLFq0iJkzZ3Zgz7spYyqMvBgGngooQG/s7B4JIQIxpsKIi2DAbGSsip7I6nQ3Jq5tLr1aZrAIITqA3JOFEG0Q0gALwGuvvcZ//vMf9uypLyHcr18/brvtNubOndvs14sWknwrQnQPMlZFD2VuYZJbqF8iJGWahRAdRu7JQohWCGmA5W9/+xv/+c9/mDdvHhMnTgRg1apV3H777Rw8eJBHH300lN0RQgghRBdgbWGSWwCdRikBFiGEEEJ0KSENsLz44ou88sorXHzxxY3bzjzzTIYPH868efMkwCKEEEL0MF6vtz7AomnhDBa1CpNUEWoZpxU2vAM5KyEiGSZcB7F9OrtXQgghxDEjpGWa3W43Y8eO9ds+ZswYXC75FEoIIYToaewuD16QJUIdrXwPvDQVFt1T/9+bP4CXpsDBlZ3dMyGEEOKYEdIAy2WXXcaLL77ot33+/PlceumloeyKEEIIIboAi6N+FkpLk9waZIlQ85Vsh9dmgdsOZ/wXTnkCznkZYrPhg0uhrrizeyiEEEIcEzolye3ixYs57rjjAFi9ejV5eXlcccUV3HHHHY37Pf3006HumhBCCCFCrCFI0uIqQloVZocEWI6qOg/ePhsM0TDz0UMVUTQGmHY3fHkLLH4Aznu1M3sphBBCHBNCGmDZunUro0ePBmDfvn0AJCQkkJCQwNatWxv3UygUoeyWEEIIITqJ1Vk/g6WlS4QMGhUWycHSNHsdLLwQUMBJD/uXm9VHwcjLYNXzMPk2SB7aGb0UQgghjhkhDbAsXbo0lKcTQgghRBfXMIOlpQEWnbp+BovX65UPZgLxeODT66DqIMx+EgwxgffLPhG2fAi/Pgfnzg9pF4UQQohjTUhzsAghhBBCHK4hB4uhpTlYtCo8XrA5PR3Rre5v+b9g13cw9S6I6R18P6UaBp4G2z4Dc3no+ieEEEIcgyTAIoQQQohOY2ptDpY/yjqbJNGtv93fw7LHYeSlkDH+6Pv3PQm8Htj8Ycf3TQghhDiGSYBFCCGEEJ3G4mhdgKVhxotUEjpCVQ58ei1kTIDhFzbvNXpjfSBm03sd2zchhBDiGCcBFiGEEEJ0GpPdjVIBGlXL8qg0BFhkBsth3C74+GpQG2Dy7aBowWNe5vFQvBkq9nVc/4QQQohjnARYhBBCCNFpLHYXBo2qxYlqZQZLAL/8Gwo3wNQ7QRfRstemjwW1HnZ82TF9E0IIIXoACbAIIYQQotOY7S4M2pYtDwLQa2UGi4/SHbD8SRh6PiQOavnr1XpIGw07v2n/vgkhhBA9hARYhBBCCNFpTHZ3i/OvgCwR8uH1wtd3QGQyjLio9cdJHw/5a8FU2n59E0IIIXoQCbAIIYQQotOY/1gi1FI6tRKlQgIsQP2yntxfYfx1oNK0/jhpYwEv7P2p3bomhBBC9CTqzu6AEEIIIXouk8PVqhksCoUCg0aFydbDAyxuF/z4MKSNgdRRbTuWIRri+8OexTDy4ha91Ov1UmIpodhcTLW9mjpHHdX2aiqsFVTYKjA7zShQkByezPjk8UxOm4xaKY+hQgghji1yZxNCCCFEpzHZWjeDBcCgVUmS222fQuU+OP2Z9jle6qj6AIvHDcqj/7sUm4t5fevrLDq4iCpblU+bTqXDqDVi1BoxqA14vB42lG5gwfYFpEWk8eDEB5mUOql9+i2EEEJ0ARJgEUIIIUSnqbM5idS3blmLQauitifPYPF64Zen65f2xGW3zzFTR8HmD+pLNh9lRsxPOT9x34r7UClVTE6dTP+Y/sQb4onQRhCmDkOr0gZ8XU5tDh/t/ogbfriBe8bfw6WDLm2fvgshhBCdTAIsQgghhOg0dTYXCZH6Vr02TKPu2TlY9i+Fsh1w8v+13zHjB4DaAPuWNhlg+SnnJ+74+Q5GJ45mzpA5hGnCmn2K3sbe3DHmDj7e/TFP/PYEepWe8/qf1x69F0IIITqVJLkVQgghRKcx2V2EtaJMM4Beq6TO5mznHnUja+ZDbB9IGtZ+x1RpIGkIHFgedJcDNQf46y9/ZXTiaG4YcUOLgisNlAolF/S/gOkZ03lk9SNsKtvUll4LIYQQXYIEWIQQQgjRadqSgyVMo6aupy4RqsmHPd/DgFNBoWjfYycPh9xV4LL7NXm8Hv628m9E66O5Zug1KBWtf5RUKBRcMvASMo2Z/HX5X7E4LW3ptRBCCNHpJMAihBBCiE7h8XjbNIOlR+dg2fAuqHSQdXz7HztlOLhskL/Wr+mb/d+wqWwTVw6+Ep1a1+ZTqZVq5g6bS6mllJc2vdTm4wkhhBCdSQIsQgghhOgUZocLLxCmbV1KuDCtqmcuEfJ4YOO7kDkZWrE856hiskAbAQd/8dns9Dh5YeMLjE4czYDYAe12uqTwJE7rcxoLti9gf83+djuuEEIIEWrdLsDy+OOPM27cOCIjI0lMTOTss89m165dnd0tIYQQQrRQw+yTcF0rZ7BoVD1ziVDeaqjOgb4ndczxlar6PCwHV/hsXnRgEQWmAs7se2a7n/KUzFOI1cfyn7X/afdjCyGEEKHS7QIsP//8MzfffDOrV6/mhx9+wOVyMWvWLMxmc2d3TQghhBAt0DD7pLVLhMK0akw9McCy+QOISIKkwR13jqShkLemMQ+L1+tlwfYFDIsfRi9jr3Y/nUal4Zx+57AsfxkbSze2+/GFEEKIUOh2AZZFixYxZ84chgwZwogRI3jjjTfIzc1l3bp1nd01IYQQQrRAjaUhwNK6JULhOhUOtweb092e3eraXA7Y9ll97pU2JJg9quRh4HZAQf3z1aayTeys3MlJvTpo1gwwPnk8GZEZ/HfDfzvsHEIIIURH6nYBliPV1NQAEBsb28k9CR2z3UWt1YnX623W/nU2Z89coy6E6FQOl4caqxOHy9Pux/Z6vdRanZjtcm3rzmqs9f9+4brW5mCpf11tT7rH7VsCthrImtax52nMw7ISgI92f0RiWCJD4od02CmVCiVn9DmDNcVrZBZLF+P2eKmxOrE4WjZjrKXPrEII0d217ommi/B6vdxxxx1MmTKFoUOHBt3Pbrdjtx8qNVhbWxuK7rW7sjo7m/OreWPlQSwON2eOSGHmkGTSog0B9y+usfHrvnLe/z0PBXDpcb2ZkBVLklEf2o4LEcSxMjaFL7vTTW6lhTdWHmR7US39EiO4ZkoWveLCWj1T4XCF1VZ+3FHCFxsL0amVXDU5i5EZ0SREtr2iiagXqrF5KMDSuiVC4X8sLaqzuUiMbLdudW1bP4Ho3hCT2bHnUaogcRAcXIF50k0sPriY2Vmz21SWuTlGJ40mNTyVV7a8wgsnvtCh5+quQnnv9Hq95FdZ+WxDPkt3lhEboeXaqX0YkBRJTLg26OvK6mxsyq/hjZUHsDo8nDUylZmDk0gN8swqhBDHim4dYLnlllvYvHkzK1asaHK/xx9/nIcffjhEveoY5SY7D325lW+3FDduW59bxSu/HOCD648jPca3ikBRjZW5b61lW+Ghm+6aA5WM7hXN/y4bQ7IEWUQXcCyMTeHL4/Gy5kAlV735O25P/SeWG/Oq+Xh9Pi9dNoYTBiSiUbf+DVpBlZU/zV9FfpW1cduv+yqYNTiJ/ztnGPESZGkXoRqbNVYneo0StbJ1fxNhf8x8aQjUHPOcNtj1LQw+KzTnSxoKm99nycHvsbltTEqd1OGnVCqUzM6azWtbX2N31W76x/Tv8HN2N6G8d+4vM3Pui7/6jLGfdpRyw7Q+3Di9L1EG/yBLeZ2dBz7fyvfbShq31T+z7ueD644jLaYDKl8JIUQX0W2XCM2bN48vv/ySpUuXkp6e3uS+9957LzU1NY1feXl5Iepl+9lfZvIJrjQoqLbyxsqDOFy+68+X7izzCa40WJ9bzZr9FR3WTyFa4lgYm8JXSZ2NOz/c1BhcaeD1wl8+2kRpna3Vx3a6PbyzOscnuNJg8fYS9paaWn1s4StUY7Pa4iRSr2n16xtmsPSYAMveH8BhgsypoTlf0lBwWtm6+R0GxAwgzhAXktNOSJlAnD6ON7e+GZLzdTehGp91NiePfrM94Ph66ef9lNTaA7wK9paafIIrDfKrrLy9OgenuwflTBJC9DjdLsDi9Xq55ZZb+PTTT1myZAlZWVlHfY1Op8NoNPp8dSder5cPfg9+8/x0fT6V5kM3vyqzg4W/5QTd/53VOZKTRXQJ3X1sCn+VZgdlpsAP3bU2F2UmR6uPXWFy8PH6/KDtC3/LweORdf7tIVRjs9rqaAyStEZD7pbanhJg2fYZxPSBqKY/WGo3cX3xqvUYCtYzIWVCaM4JqJVqTup9Et8d/I4Ss/8b9Z4uZOPT4mTZ7rKg7b8EaPN4vLz3e27Q13yyrsDnmVUIIY413S7AcvPNN/POO++wcOFCIiMjKS4upri4GKvV/xPNY0lT7xncXi9waAcvXprKJeb20GS7EEK01tGuLW1LdOht8vVujxcvcnHrTqosTiL0rV+trFMrUSsVPWMGi8MCu76D3h2/TKeRUk2VMYkxVhujk0aH7rzA8enHo1FqWLhzYUjPK3w1dcl2BXk4PXIGo0+bt+nruBBCdHfdLsDy4osvUlNTw/Tp00lJSWn8+uCDDzq7ax1GoVBwwZjgn1adNSLVJ9FYTJiW85vY/+LxGRgNrZ+SLYQQwcSGa4kJC3x9Cdeq2pSINjZcy5kjUoO2XzS+F6pW5vIQnaPS5CCilRWEoP7+GKFXU23pAQGWvT+A0xK65UF/2KZSMMbuwKgOD+l5DWoDx6cfz0e7PsLitIT03KKe0aBhUt/gy8Km9U/w26ZUKvjTuIygrzlzRCqxTSTHFUKI7q7bPYl6/4h8H/k1Z86czu5ah+qXFMG0fv43soQIHdce3xed+tAUa4VCwSlDk+mb4P8wNDA5kin94oOep6TWxv4yEwfLzc1aRlReZyev0kJRtRWXu/1LsQohur5y06HrQFyEln+eNxyFwn+/R84eSmIbAixatYqrJmcFPMbkvnEMTI6k4o++FFZbZZ1/N1BpdrQpBwtApE5NlaX1S8+6ja2fQmxfiEoL2SlNDhMrPbWEedyEVewL2XkbnNTrJMwuM5/v/Tzk5xYQZdDw0BlDCAuwjO/i8RkkR+nxeLwU11jJq7RQWlufY2tAUiSTs/0DMwmROq6ZkoVWraLa4iC/qv5abXPKtVoIcezo1lWEepKESD1PXjCcX/dV8MbKA1gcbk4dlsL5Y9LJiPXPxp4UqefVK8fx9aZCvtlShFKh4PQRKZw6NCVgBaE6m5NdxXU89s0ONuRVo1MrOWtkKjfPyKZ3nH+gps7qZG1OFY9+s4N9ZSaMBjVXTcrikgm9pAy0ED1Enc3JxrxqHvl6O7tLTETq1FwxqTeXjO/Fh9dP5NVf9rO31ETvuHDmTsmib2IEWnXr820AJBl1vHftcXy0Lo+fdpRi0Ko4f0w60/onkFth4f7Pt7KzuI5wrYrLJ/ZmzqQskqPkmtRVVZjtDE2LatMxwnU9YAaL3QS7F8Hwi0J62o1lm9inVuNWaYgs3IQlIbQVfeIMcYxJGsO7O97looEXdXiJaOEvLdrAZzdN4s1fD/LbgSpiwzVcOqE3YzNjcLq9vL7yAC/9vI9yk4P0GAN/OXkAx/dL4PFzhvHz7jI+WpeP1eHmhIGJXDg2g9hwDZvyqnn4622sz6l/3jx/dDo3n5AtJZyFEMcEhbcHLoSsra0lKiqKmpqabplUs9riwO3xEm3QoFIFftjIqTBzxvMr6JcUydR+8Xi9sGxXKbmVFr68ZYpfUGZDbhUXvLTKbz1t34Rw3pgzjl6HBVm8Xi/fbS3mpnfX+533hIGJPHXBcGLDpVSqaLnuPjZ7mp92lHDNW2v9tk/qE8fMIUnsKq4jLcZASY2NLzcXctHYDG49qX9jYtLW2F1Sx5n/XcG4zFjGZsbicHn4YXsxFoeb+08bxI3v+F6XxmfG8r9LR0v55jbqiLHp8Xjp/8B3XD6xN7MGJ7f6OP9evIsInZo3rx7fLv3qkjZ9AJ9dB+e9BhFJITvtcxuep9RSyr3VJhzhceyd/WjIzt1gX/U+HlvzGM/NeI4ZvWaE/PzdQUfeO3/dV86Vr//GSYOSGJRixGR38e2WIhIidNx6Uj/mvPG732v+dvogdhTVsjm/hpmDk9Gqlaw9WMmeYhMvXT6a84M8b747dwLJURJkEUJ0b/JRQDdxeGWM6DBtk8EVp9uNzelmaFoUuRUWdpfUsbukjrwqK1UWJ59tKMB92HKe0job/1q0K2Cysn1lZr9yzyW1dv7x1faA516yszRo2T4hRNcUqPKO1+sNuL1hW1mtjb9/tS3g8X7dX0FqtIGcSjN7SkzsKTVRZ3Px2sqDVPxRYag11X7MdhfP/Lgbm9PD/jIze0rq2FtaR1G1jfwqK4XVVvolRvi85reDleRXS/6GrqjG6sTl8RLVxpxgkXoNFeZjfInQ5g8gcXBIgyt2t51t5VvpF9MPS1xfIos2gyf0Szn6RvclOzqbBdsXhPzcPV15nZ2/f7kNp9vL4NRIThyQwIwBCbg9XjbkVWOyuTAGSFL9nx/2MGNAEkXVNvaW1rGnpI79ZWbOHp3KP5v5vCkV4YQQ3ZUsEerC6tenWnn/t1wqzA6unZqFxwsfrs3DZHdx6rAUhqdF0yuufjZKXqWZA+UWPl2fjwK4/7RBlJscfLKuvqzpg6cPptLs4JvNhVwxsTfRYfVJxqwON78drAzajyU7S5k9LKXxe5PdSfEf62wD2VJQw6AUmX0gRFdWbXGQW2nh/d9yqbY6OWNEKqMyolErlewtNfHB2jy8Xi8XjM2gf1IEbg9sya/m840FROo1XDA2nbNHpvH8kr1+xx7dK5pko56xvWLZXWpiZEY0N07vy7qcKursLv753Q4OVFiYkh3P9AEJpEUbUARK2nKEOpuLTXk1/PuCETjcHlbsKSdcp+aJ84azt7SO3/ZXMiQ1ij2lJp/X/XagkpEZMe32uxPto/yPYFvbAyxqdpXUHn3H7qquBPYvg/HXh/S02yq24/A46RedjUVbQ8KuRYSV78WSOCCk/QCY1XsW/9v0P7ZVbGNI3JCQn7+nMjtcDE+L4uXLx7BmfyXPL9tHXLiWly8fA14vX20upm9CBBvyqv1elxqt54nzhrNkZwlWp5ubZ2QzPD2K937LC3q+7YU1ZCdGsGhrMetzqxmWZuT04amkxujRqtq2vFQIIUJFAixdVI3VwZu/HuSZH/cAMO+EbD5cm8/7vx+6MX27pZiByZHMv2IMeOEfX2/nxx2lAPzr/OH837c7WLm3onH/LzcVMmNAInOP74P2iNkvUQYNlUE+AYyN8M32rlEpUSiCl+6T7PBCdG3VFgev/HKAF5YeCo58u6WYZ/40km+2FPHD9pLG7Z9vLGR6/wQuGJvOzQs3NG5///c8Lhnfi5tnZPscp29CONdP68tF81djPSxx4e6SOs4elcYZz69oLDu/aGsxMWEaPrx+Iv2SIo/ab6USHj17KE8t3uXzSeen6ws4f0w6Z4xM5cuNhX6vi4uQ5UFdUWldfYAlJqxt94ym7l/HhC0fgkIJWaGtHrShdAPx+jhi9bFYtUY8Ki3Ggo2dEmAZlTiKBEMCb219i39N+1fIz99T6ZUKbpyezaWvrKGw5tAHa++uyeW+Uwdywdg0ft5d6ve6W0/sxyfr8nlnTW7jtm+3FDMk1cjTF44IuLQ0OzGCUb1iOPmZ5dic9bOsv99WzPNL9vL2NeMZ2zsWpfLogXghhOhsskSoiyqqtjUGV8K1KgalGH2CKw12Ftfx7ZYidhTXNQZX+iZEYLK5fIIrDZbuKsXrhbDDciCkGPVcPD54Sb2zjiiLGhuu5aRBiQH31WuUDEw++hslIUTnKay2+QRFADJiDZjtLp/gSoNlu8sorbP7VSZb+Fsuw9KifCpMXDOlD498vd0nuAJwyYRe3P3xZo6c9V1lcXLPp5upbkYVmLgwLZvyq/2WLQJ8vC6f2HAtG4/4JFWtVDCud+xRjy1Cr+SPmZDtEWCxOT2Y7a726FbX4vXC+reh13GgC9291e31sKl0E31jsus3KNVYYrMwFmxo+oUdRKVUMbP3TL7P+Z4CU0Gn9KEnUqiUPLV4l09wpcH/fbsTrxf2V/jOGIzUqRmUYvQJrjTYVljLxrzqgKWf507N4u6PNzcGVxrYXR5ufncDpXXBZ04LIURXIjNYupjSOhs2h5svNh36FHZSdjxLd/p/QjAk1cjVU7LoGx/Ov3/Y3bh91uAkvtrk/ylug7dX59AvMZwwrRqPt75M5qzByUzNTsDt8VBjc6FRKSirc2DQKP1KokbqNTx4+hB2FZvIrTyU20CjUvDKFWPbVIZVCNHxPt/o/wZl5qAkvt5cxOheMVw5qXdj6XeX28OC1Tl8tamImYOT2Pfzfp/XLd1ZyqS+cY0B3vgILSa7k/mXjyEt2kCdzUVUmIaD5WbsrsCl3NfnVFNpcTQuW2xgd7oprK7PHeXxeokN17KnpC7oz/XJunzGZsbw7ZZiAFRKBS9eOppEY+BrUqXZToXJgdnhItqgJS5C2+KSwQ6Xm9I6O5UmB0qlgrgILUmRevmktRmKa21E6tVo1W37rKdhiVG5yd6mBMpdUt5vUL4LRl0W0tPuq95HnbOOftHZjdss8dnE7fkRhduJV9W2ZV2tMTVtKl/t+4oF2xZw74R7Q37+Y53T5aGg2kqlxYHX6yUuXIfH62Xx9hLOG53G7GEpOFweNCoFhdU25i/fz8+7y/j4+olUmJzYXR70GhVmm5MfthczICmSuVOziDJocHu9KFDw0bo8Pl6Xz72zB/LrPt8PAfvGRwQM5ACUmeyUmxySAFcI0S0cY08i3ZfX62V3SR3Xv72O3nHhpBxWVlSrUvp9Gjy1XzwXjs3gH19t58yRqVgdh9o1aoXf/oezOtzsKTVzoNzMf5fsbdw3yajj72cM+aMUXyVp0Qaev3gUUQb/TxcNWiVPnDuMvCor2wprSIzUM6pXNL1iDW0uwyqE6Fh1Nv+SthqVkhEZUWTFR/DQl9say94aDWruOXkguZWWgG+ErU4Xt5/Un/5JkaRGG0g06vjwukn837c7WLa7DIBko56bZ2T7vfZwLrfv1JYqs53fD1bx10+3NC7/MOrV/OXkAYRp1Xz0R26pw5nsbm49KZusuHASo/RM65dAcpQevcb/mpRbaWHewvVsyq8BQKGAs0amcu/sQc0uNV9rdfLd1iL+8dV2zH9cgxMidTx/8ShG94qWa+FRFFXb2jx7BSA6rP7Nfmmdnd5x4UfZu5v5/RWITIWUESE97YbSDURowkmJODSD1Rzfj8Qd3xBRsp261ND2B0Cn1nFCrxP4ZM8nXDf8OuIM/rMgROvUWp2sOVDBPZ/4Xm/fmTuBB08fzN5SEze+sw7nH9fpPvHhPHbOUHIqzFSaHFzz1jqg/jp6/6mDSIrUc8JJSTz81bbGwgcGjYqbZ2QzOMXIyIxoPr5hIkt3lRFt0HDCoMSA96XDOdyBA/RCCNHVyBKhLqKw2saf5q/mYIWFLQU1TOhz6MFhY141k7PjG79XKRXMnZLFHR9upMxkZ11OFVP7JzS2r8+pZmq/BIK5cGw6LreHJ7/f5ROIKam1c9sHG7lpel8UCiiotnL5a2vIq/KtwOFwuXl9xUEueXUNT/+wi90ldXy9uZBLX13Dxa+soSTIJxBCiK7htOGpftu2FNRwwsBE7v10c2NwBaDW6uKBL7YyfUACWwtq/F53zuh0hqRFcfcpA7nsuN7ER+h44rudjcEVqJ+Zlx4T/JPH9BgDkUfMPCiqsXHju+t9cmvU2lz87YttzBychNHg//nAWSNTGZwSxV9OGciVEzPJjA8PGFwprbNxzZu/NwZXoH4lxucbCnn+pz1Ync1barK9qJZ7PtnSGFwBKKuzc8Vrv1FQZW3WMXqygioL8RFtD7A05P0qPtbuPbVFsO1zGDC7PgdLiHjxsqF0PX2j+qLk0Ewse1QqLm04xvz1Tby6Y53Y60QUKHh7+9ud1odjUX6VhRve8b/eWh1u6mxO3l6d0xhcAdhfbuaODzcxqW88T3y3q3G71wtvrzrIqcNTuP2DjT5VJa1ON08t3sWA5EgSjTrGZsbyl5MHcO3xfeibEEF8hI5wbeCgtE6tJEFmRwshugmZwdIJyuvsuDwewrRqjH9Mbd6cX021xcmFY9I5d0w6sWFa7p09kP8u2UtBtRWtSsmQVCPRYRouHd8bhULB2SPTqLE4mdo/gVG9ovl0XT79kyOZ1j+BURnRmGxOPl6f73NTTI3SM7pXDPd8sjlg3+wuD6v2VTA+M5ZthbWcPSqNSrODCJ2NhEgdCoWC0jo7b/56EKgPyhx+A82vspJTaSEpqnmfAAshQqOszo77j+tO/8SIP2ZYKDllaAp6jRK328un6wv8cqRA/UPzB7/nMnNQMjMHJ+Nwefh+WzF1NidDUo3U2ZyY7S7USiUut4clu3yXNHq8sGJvOReMSfebeaJQwG0n9UOjUpBbYcGLF6NexVu/HsQdpEzn+7/ncebwVJ81/gOSIpu9PLG4xuZXaajBh2vzueWEbOoULjxeL5F6TcBlJzUWB0//sCvAEeo/af14fT53zhwgS4WakFdlJSu+7TNODBoVBo3q2AuwrHkJVBroNyukpy0yFVNiKWVK2hTfBoUSS3w2xvx1FIy/KqR9ahChjWBGxgwW7lzIlUOuJEYv1cHaymp38uavB/F6vZw0KJHpAxJRKuDXfRXEhmt5Y+VBjHo154xOZ1BKJCabi682FbIpv4Y9pSZOHJTImSPTSDTqyKmwoFTAj9tLgi4Jnb98P6MyokmL8b2uJkbquO/UQdz/+Va/1/zl5AEkSrJyIUQ3IQGWEKow2Vm+p5wXlu6lpMbGiIxo7jq5fmr9nmITX8+bwsp95dz9cX3CxwlZcbx59TjeWHGAF5ft5eXLx/L5xgL+8UcCyRkDErhxRl+e+n4XX28u5PU543hnTQ7P/LgbjxdOG57Mh9dP5IHPt1JUY2P20GRmDU4ir8rC/jJz0H4eKDczpV8cN07vyzurc7j6zd+JCtNwzeQsTh2Wgs3hxuIIvgTpQLmJ8VmSVFKIrqDcZOfnXWX8b9leSmvtjOwVzX2nDuCZi0by2YYC5v+8D5PDxfH9Erh0Qi92FNX6zOyA+nxPfxrXiw9+z2PJrlLCtWouGJvOhWMzKK2189T3u1iXU0V8pI65U7J4/Nxh3P/ZFp9gzesrD/DQGUMYlxXLyz/vp6TWxtA0I1dNzsKoV/PJ+gLeXp1DrdXJvacOChoAAdhfZuLcUWl8uakQvUbFmSNTmZAVx9urcxiREY1G1fSn/cFml+jUSp48fzjfbC7izVUHqbE4mZQdz+0n9ScrPsxnyY/V6WnyOrq1oBaH24NeKcuEAvF6veRVWpiQ1fZlHgqFgvgILQXVx9CsIUsl/P5q/ewVbWiXPa0vXYdWqSHTmOXXZk7oT/Lmj1HZanDro0LarwYnZ53MkrwlvLHtDe4Yc0en9OFYUudwU2Fy8NqV41iys5Rnf9yDy+PhpMFJeLxeBqUYuWZKFgtW5fDpunxiwrVcMDadKyZlsrukjuP6xPHEop3kV1rplxTJvBOyOVgR/Pp9oMyMI0DwRatWcfqIVDJiw3hq8S72lZrIjA/nrlkDGNUrGl2A2YhCCNEVSYAlRGqsTv7z4x7eWZ3TuG3F3nJW7ivnravGc/rIFP7+1TaW7y5vbP9hRwnLdpfy4fUTiY/QcuM769l6WPWMzzcW8uOOUv536WjsLjdXvvEb+Ye9cXh7VS6LtpTw5tXj2JRXzc+7y7j6rbU8feEIshLC2ZzvP90foE9COJP6xnPx/DWNa15rbS7+/tV2luwq5dGzhmLQqILmeclsh08khRBtV21x8NT3u3wqkP2ypxybsz/3fbqRDYdV3Pl6cxE/7Sjl5cvHcPO766n7oyKLQaPinlMGMvettY1LYWqtLr7YWMiQlChuWri+caZJnd3F/Z9vZfbQZG45IZvnfjpUqcjrhb9/uY0fbp/KhWPTiQnXsr/MRI3VwSvL97M2p+qwPpaRFR/O+txD/Ttcn/gI4sK13HfaIJwuL4u3F/PaigPcflL/owZXANKCLFe655SBvPd7HqsOS764aGsxS3aU8tnNkxiSeugNpUGjJCs+nHJT4OpHQ1ONaJvRl56qpNaOzeXxyTfWFvGROnIrgge8up2Vz4LHDYPPCfmp15WsIyuqD+oAwUFzwgAUXi9R+eupzJ4R8r4BGLVGZvaeycIdC7l04KUkhSd1Sj+OFZFaFddP68udH20kr/LQM+RHa/O5ZnImcyZnct3baxtnQ9fZXfx78W6m90/gtpP6cdO76xuT067PreKqN3/niXOHMT4rlt8OVPqdLyshPGhi6yiDhuP7JzAsLQqby41OrWpcAiiEEN2FPP2FSHmdvTG4ctKgROZMymRwSiReLyxck0OVxeETXGngdHt59JsdVJgcPsGVBia7i1X7ytlfZvYJrjQoM9n5dH0B328r4fttJXi9XuIjtFwxsXfAfurUSk4eksy/Fu3C4fYQE6ZhfFYsQ1KNKBSwfHc55WYH1x3v/8kW1OdS6B0rARYhuoJyk92vvPvApEgqzA6f4EoDq9PNW6sOcs7otMZtZ41M5b3fcn3yjABcflxvnlq8K+Aynu+2FjMiPdovwDAuMwaFQsHvByvZ/ke5Tp1a5RNcAfhpRymnD08l2Oqa66f14a5PNvHXT7bwty+28suecrQqJWeO8M8tE0hKlJ7sxAifbUa9msRInU9wpYHD7eHRr7dTYz0UTIkK03LHzAEBj69RKThvTLosD2rC3j9mKKVEt0+AJdmoZ3/5MRJgqc6FNS/C4DPBEB3SU1dYKzhYm8OA2P4B212GaGzGFKJyfwtpv450SuYpaJVaXtj4Qqf241hg0GnYXljrE1xp4HR7ef6nPT5LzRss212GF/zKKgP8c9FOLp3QK+D5bjkhm7SYsCb7FBOuJSXKIMEVIUS3JAGWENlaWMOcSb1ZdOtUpmbHo1YquPWk/vx0xzTOGJHKTzv8yzA3WJdT5ffm5kg/bC8J2vbz7jLG9I4hOkzDE+cO5901uewuMXHnrP7oNYf+BBIjdTx94QgsdhfbCmt5/NxhPHTGEAanGJk5OIk35oxj9tBkftpRypzJmVw8LsPnDdDA5EjevmY8yZJ/RfRwdqeb3AozC9fk8OSiXfyyp4yS2tDnh9gUIIgye1gyi7cWB33Nz7vKfJZtjM+KZflhCWsbpEYbmlzGs6ukjt5xhx6iJ2TF8uT5wwEFU/sloFYquGpSFslGvV/uFLvLw3u/5fKv84cTE3aoHGykTs2T5w9Ho1JQaTqUiDchUsfb14wnXKdi5d5ynly0i3dW55BTYcYWYKZdQqSe1+eMY1jaoRkpg1ONAYNODVbtr6TO5pv8dkiqkcfPHUbYYYkZEyJ0LLh6fJNJfQXsLqlDo1KQGNk+94u0aAO5lZaA/97ditcL390D2ggYen7IT7+2ZB1qpZo+UX2D7mNOGEBU7u/g7byqLmGaMM7MPpPP937OtvJtndaPY0G5yc43WwoDNyrwWzJ6uGW7SjlxcKLf9iqLk/QYg8+13aBRcf+pAxmaamxzn4UQoiuTJUIhkhkfRpRBw1kvrGxM/PXqigOkxxh47qJR7CyuC/pajUoR9JNcAC9gCJJ5HepvatP/mHKpUSk5Y0QqKoUCg1bF/MvH4vZ4iYvQYrG78Xg9RIVpefaikTz9w262HTZrRqmAh84YQly4lpgwHfefPojrp/elyuwgTKsmLkJLvCQhEz2cw+Vm9f4K5i44NKX6hWX1ZS0XXDOe9KN8cteewrT+l3iby0OEPvil36BRMTg1kk9unIjXW1+hxaBV+QV5VUoFCkX9+8FAYsO1vHDJaCrMDiJ0KjxeLzmVFq5bsM7vGvjUBSO45b311FoPBTAWby+h2uLgkxsnUWVxNPYlMVKPVq3ghzuOp8LkQKWsz7+hUMClr65hd8mhoI9KqeCly8YwtV+8XzWhXrFhvHnVOCrMDsx2F0lGPZ9tKAj6e9GqlCgVvhdio0HDeaPTmNovvrEvcRFakiL1MnvlKHYU1ZIRE4aqnX5PmfHheLywrbCWMb27ceLTrZ/Arm9h2l9BE/og3W/Fv5FpzESnCj5zwJQ0mLh9ywgv3YU5aVAIe+drevp0lucv5x+r/8HCUxeiknxHraJWKjAEyW+iVChQKRVBE44btGqs9sBBTb1GxfwrxuJye3B5vBj1GnYW1aCWpZNCiGOcBFhCJFKn4eL5a/yyqudXWXnup93cckI/nl+yN+BrTxmaTLRBE7AN6t9EXTKhF7/s8V9iBHDx+Az2V5i57f2NAdvfnTuB3w9U8sg3OwD4+xmD2Vdm8gmuQH0lkL9/tY3vbzsegAidhgidhsw4WRIkRIOSWjvXvb3Ob0r1/nIzT3y3k3+eNzxgVZqOMCTViFqpwHXYw/FHa3N59YpxvL7yYMDXnDsmjcRIHVnx9Uto7E43541O5+Xl+332W3uwisl941mx1/+6o1RAUqSeWc8sb9z27Z+ncPO7GwJeA19evo+LxvVi/hHn6JMQQbJRT58E3+U8AOkxYY3BKqvTxd8+3+YTXAFwe7zc9O46frpzOr1i/QNbcRE64g4LCs8anMST3weuDHT2qNSA09W1apVPX0TzbMqvbtd8Xb3jwjBoVPy6t7z7BliqcuDr2yFzKmROOfr+7azcWsH+mv2c3uf0JvezxvTGpQ0nOmdVpwZYVEoVVwy+gv9b838s2L6Aq4Z2TmWj7i46TMslE3qxPMAzpMfjZeagRBZtCzxLemq/eJ76fqff9r4J4ejVSk57brlf28NnDuGKifXVMIUQ4lgkYeQQ2VNqClp55+c/bmp/PjHbry0t2sC8Gf0orbMFXM86ICmSydlxKIATBvpP05yQFUtCpI5eMWGMyoj2az9nZCq9Y8N4Ydm+xm2xETo+Xhf4k1yvF1YECeQ4XG7yKy3sLKolp8KMye4MuJ8Qx7ItBTVBy1N+t7WYCnPgpKgdIdGo598XjODw59h+iUaKam0B8zD1TQjnxIFJmGyHrlUltTYmZ8czICnSZ98P1uZy+8x+JASYtfbo2UP5bMOhcsy948LIq7Jisrv89oX6cqBjj3hTnBkXxo3T+xLWjGBUhcnBFxsDX7Ocbi+/H6ykqNrKzqJacivMWByB+5Fs1HPPKf55VdJjDMw7oZ/fLBjROrU2J3tKTH55cNpCrVQyunc0H6zN657LhBwW+OBS0IbBcTd3Shd+K/4NjVJNdrT/s4gPpQpz4kBiDqwMTcea0De6LzN7z+T5Dc+zo2JHZ3en2xqWFsWswf7JgrUaJbfPHBAwGfVfZw/8Ywqjb6AkXKvir7MHBczbAvDaigOUmezt0m8hhOiKZAZLiFQ18abK64XSOjvVFievXDGGH3eUUm1xMr1/PCN7xXDnR5vYVlTDq1eM5YzhqXy0Lg+zw82ZI1LJToxgR2EN76zJ45ShSZw5IpUlO0txe7zMGJiAzenh6R92c/OMbP7v3GEUVlv5dH0+OrWKSyb0IjM+HKfLQ431UDBErVQErRAE9et1/bbV2Xlr1UFe/eUAVqcbpQJmD03hgdMGkRItuQhEz1FhDv7g6PZ4cbpDl7dAr1Exc3AS3992PB+tzSO30sLF43vx7ZYi4iN0vHjZaH7aUUqdzcWkvnHEhGm448ONfHXLoU/PvcDdH2/mntkDMdtdrNhbTphWxYkDk9iYV83zl4ziYLmZpbtKSYsx8KexGSQZdUzIiqNPQgQ7imqZ2i/e5xpzJK8XkqP0/GlcBtUWJ7MGJzE2M4bezZwd53J7gz7MA+RXWrhpVQ4b8qpRKxWcOTKVu08e6JcvKtKg4ZIJvTi+fwLv/ZZLWZ2DU4clMy4zllS5jrWb3/ZX4gUGJbdvLoazR6bxwOdbuXbBWl67clzQSiVdjscNn14L5Xth9j9B136Bp5ZYVbiKvtHZTS4PalCXPIz0tW+iq87HHp0egt4Fd17/89hVtYvbl93O+6e9T7Q+ulP70x2lxYTx0BmDuXxibz5am4/b4+Xc0WkoUPCXjzfx+pxxrM+tYvnucuLDtZw3Np39pSY25tWw4Jrx/LSjlPwqC/2SIhnTK4anf9jNg6cPDniuaosDT5AlR0IIcSyQAEuIDD0smeKREiN1WBwuFqzK4YPf8zh3dBoPnT6IB7/cxr2fbW3c7+o315Jk1HHv7AGcNCiJCH39Q1DWH58OP/L1DmLDtRzXJxaVQsG/Fu2itM7OVZMzOWlgInqtmkEpRmYMqJ/p0pAjoMbqZHxmDKv215fTO1BuZmiaka0F/lWLAI7vl+DzvcNVX3nk8CVOHi98s6WI0jobL102xmcavhDHspEBZoo1SI8xEBGi5UENwnRq+idFcv9pg3F5PKiVSlxuL3MXrCVMq2Jqv3h0ahVvrDzAwQoLk7PjfGaNROrUDEqJ5PYPNtIrNoyRGdGY7W7u+WQzJruLZy8ayUXje3H+2HTUykNvaKPDdNx2Un8cLjdatYqtBcETJSZE6IgyaHj8nKG4PV406pbNFAnXqekTHx60ikx2YiSv/HIAAJfHy6frC6g2O3n6TyOIDvN9Mxll0BJl0PLIWUPxeL2olN3kTXo3snxPGYmROpKM7XtfSI8J465ZA3hi0U5e+WU/N884ykyMrsDrhW/urM+7MuN+iO3TKd3Ircsl35TPef3Obdb+5sQBuFU6Yvcvp2j0JR3cu6ZplBpuHnkzj6x+hFuW3ML8mfMJ08iSvZZKiwkjLSaMSX3i8AJqlZKcCjMWh5vZz/7CrMGJTOobT63NyZzXf6PW5uK/F4/ipnfXMTglioRIHb/ureC/S/YSoVP7JP8+3KTs+CbzgAkhRHcnT44hYLY7iTZoOGFgQsD2m2Zks3BNLlBfPeOkQUlo1SpyKi1++5bV2cmKj2wMrgCgUDAlO56YMA2VZgffbinmq81FlNbZidCpOX14Ct7DZnAqlQqfBIxRBg33nza4MdngwjW53Dgtm0DLY4ekGumT4PupcmmtnVd+2e+/M/D7wSpK62QqqOg5UqMMTMmOD9j20BlDSDJ2XpWthgDI0DQjfeLDsTjcfL+thC83FXKwwoJKqeDe2YOIOiznk0qp4JopfdCoFORWWvhyUyHfbyvGZHfRKzaMrD/yaKiDBCK0fwRL4sK1nDTIfxkjwJ2z+pMWZUCpVLY4uAL1VYQeOnNIwLbRvWIoM9n9lict2VVKhSn4zEKFQiHBlQ7g9Xr5YXsJIzOiOyQHw9C0KGYMSOT1FQdwhXC2WKt4vfDDg7DuDZh4C2RM6LSurChYSbgmjKyorGbt71VpMCcPInbv0g7uWfPEG+K5ddSt7KrcxfU/XE+NPXhAVzSt1uai1ubE6/USrlVx32n1eXYWby/l719t5+kf9lBrczEyI4pwnYpqi4tf91XwxcZC1udWAXDzjGxW7fNfTq5VKbn9pP5E6ILnFRRCiO5Onh47UI3Vwe8HK5n33kZueGcd9506iJum98VoqI/cZ8WH8+xFIymssrI+t5r+SREsuHo847NiiY/U8dZV47lsQi90f0xzHpEexcc3TGJAsm8uBIvDzasrDvDsRaM4aVAiSgUoFHB8v3j+e8koXlq2zyenQiDZiRF8csNERvWKpqDayvfbinjtirEM+aOcnl6jZM6k3rx65VgSj3iDWGd3YXMGf5DNqfAPFAlxrIqL0PHvC0dw8/S+jbNV+iVG8NbV4zmuT2wn965ecpSBN68ax5/GpjdeX0ZlRPPh9RP98mJYnG5eXbGP/106pjF5qFal5MwRqTxy1hDeW5ODN1gpocOkRBt4+Mwh3DzD9xr434tHccLARNRtXM4xpncM786d0JgrJlyr4tqpWdwwrQ///M4/CSPQKaWze7rN+TUU1dgYl9lxY2HGgAQqzA7WHKjssHO0i2VPwK/Pwbhrod+sTuuG0+NiVeGvDIkbikrR/ABnbepIwioPoK882HGda4E+0X24c+yd7Kvex5++/hNbyrZ0dpe6leIaK++tyeXy19dw6atreH3lASotTpwuD29dNY5BKfXX1jCtiism9uaZi0bRKy6Mv5w8gLg/EoCnxxj413nDOWdUKicPTeG80WloVPWB1AlZMXx60ySy4mV2kRDi2KbwNufJ+BhTW1tLVFQUNTU1GI3tuwa8gdXh4sO1+Tz05bbGbUol3Dy9L2ePTAMU6NRKkqJ0lNU5cHu8GDQq4iN9p0zbnG4qzfXt4Tp1wCoWdqebuz/ZzE87SjlnVBrH9YkDYH1uFR+vy2dEehQvXDqaSP3RPzGoMjsw2V315UbDtZgdLsx29x+lUHUB17TnVJiZ8dQygi2p/fTGSYzurlUdREiFYmyGitPtobzOjsvjxaBVdakS5uUmOw99sRW1SsnMQUkoFAr2ltbx7ZYiXr5irE9lsPI6Oxe+vAqT3cVF4zMYkGTE6/WydFcpX28u4sbpfbntpP7NPrfD6aao1obL7UWnVpIeoLpPW382q6P+muXxeJn21LKgJUa//fNUBqd277+zUGmvsfnYN9v5cG0+L1wyut1KNB/J6/Vyy8L1XDA2g3tP7bwqN0365Wn46WEYfSUMu6BTu7KqaBXzN7/C3GFzidM3P/ClcLvo+8M/KBt6JvkT5nZgD1umzFLGS5tfIqc2hwv7X8gNI24gzhDX2d3qUG0dn8U1Vua+tZatR1SP/HreFC6ev5oTBiZw/bRs1CoFCmBPSR13f7yZh84cwtmj0iistuJye9GqlWQcdk23Ol1Ump14PF6MejVRYUfP7yOEEN2dLILsIGUmB49+s91nm8cDzy/Zx2cbCvnkxkmNSwWaSp6o16iOmlxRp1Exd0ofvthYyNurc3h7dY5P+00zspsVXAGICdcSc1gQR6dREXuUPJNxEVpOGZLMt1uL/dpSo/SSHFL0SBqVsssmeM6psPDNlvrx+sXGQp+2/y7ZyyNnD8Ggqb89xEfqmHdiP27/YCPP/eRbSl6lVHDmiNQWnVurUTU7eW1rHB7IqrY4mNgnlhV7K/z265sQQXykPOyHksfj5evNRYzPiu2w4ArUL+8amGJk1T7/f/cuYfWL9cGVERd3enAF4Mecn8g09m5RcAXAq1JTlzqCuF0/kD/uKlB2jSpbCWEJ3Df+Pn7I/YEv933JZ3s/4/z+53P54MtJi0jr7O51Sav3V/oFVwB+2F7CpRN68dLy/XyxqcinLUyrYkzvGDQqZdBrukGjJi1a3moIIXqWbrlEaPny5ZxxxhmkpqaiUCj4/PPPO7tLfg6Wm4NWtcivslJl8V/773R5yK+ysGRnCR+vy2NHUS2VTVQkOVxmfBj/PG8YWtWhf1KVUsF9pw5i0BFLitpbhE7D304f7FdmNTVKz4JrxvtV6hBCdK7PDyuhfKSvNhVSbfGt+HN8v3iunpzpk5fJoFHxyuVjSGuHIJLD5SavysKPO0r4eF0+u4vrAl4jWyo6TMs/zxveuNSxQe+4MF69cgyJkXJtCqWN+dUU1dgaZ1l2pAHJkWwvqsXq6GIlm9e+AYv+CkPPgxGdmxwWYG/1XvbX7GdM0phWvb6m1zi0lgqi8n5v5561jUqp4pTMU3hi6hOcnHkyX+z9glM/PZW7f76bvVV7j36AHsRkd/LB73kB255fuodzRqdxylDfEs7RYRrevGocadFyDRVCiCN1y7Cy2WxmxIgRXHXVVZx33nmd3Z2Ajpa7r36S5SEOt5t1OVVc89ZaLIc9EM4YmMg/zx3ml/fkSJF6DWeNTGNS33j2lZlwe7z0S4wgPkLnUxGko6REG3j58jGU1NnJrbCQGKkjNdogwRUhuiBlE8lbFQrqazMfJi5Cx+0n9efyiZnsKakjTKsmMz6MRKMOraptn1rbnW5W7a/g+rfXYXcdyuV06rBkHj5zCAltDIKkxYTx1lXjKa61kV9lJTlKR0qUoVOTDfdU328tJsqgYWBSxwb9AfolRuLyeNlaWNOh+V5aZNP78PXtMPB0GD3n6A8KIfDN/m+J18fRJ7pvq15vi8rAFpVO4ravqOl9XDv3ru0itBGcnX02szNns6JgBYsOLmLRwUWc2fdMbhtzG/GGwAnJexJF4/8E4IXiGhvT+ydy4dhe5FdZMOo1qFUKdColSkW3/JxWCCE6VLcMsMyePZvZs2d3djealBkXjk6t9HnD0KB3XBgx4b5Ldkpq7Mx543e//ZfuLOXt1Tn8+cR+aFRN38j0GhUZsWE+619DKS5CR1yEjsEpktNAiK7s7JGpvPXrwYBt54xM81km2CDSoCHSoGmsGtReimttzH1rLa4j8qR8u6WYEenRXDu1j0/Vs9aIj9QRH6ljaFpUm44j2ub7bcWM7hXd5n/P5siINaBVKdmUV901AixbPobPb6xPZjv+ui4RXMmpzWFj2UZOyzoVZdB32EehUFDVeyLJmz9GV1OIPaplSwZDRafWcWLvE5mWMY2f83/my71fsiR3CfdOuJfT+5zeIRWtuotwnYbLJvQKuKTupEFJLN9dzmsrD6BUQGy4FqvDjdnhRqdW8uMd0zrtmVMIIbqqHhF6ttvt1NbW+nx1tIRIHY+cPdRvu1al5N8XjPCbmr56f0XAYAzAmysPUialjsUxqDPGpqgP8p47yj8XQWKkjhtnZKPXhC6Xwk87Sv2CKw3mL98vZd47SXuPzQPlZg5WWBjdKzQJz9VKJZnxYWzK7wLlerd+Ap9eB32mw8SboYt86v/Jnk+I1ccyOG5wm45Tmz4atzacpM2ftFPPOo5aqebEXify2JTHGBo/lPtW3Me9v9yLxdm9qh229/gcmxnLuEz/sXn+mHTe/z0XAI8Xyk0OzH/Msra7PKzLqWrTeYUQ4ljUNe7yHezxxx8nKiqq8SsjI6PDz6nXqJg9NJkvb5nMGSNSGZEexZUTe/PdbVMZnuH/KWpuZfCbe53dFfQNiBDdWWeMTQGx4TruO3UQb141jqn94hmZEc19pw7k05sm0SvEn0bmVJiDtlWYHXh6XqG7LqG9x+aSnaVoVIqQziLqEx/BprzqkJ0voE3vwydzoc80mHRrlwmubC7bzJbyrUxLP77Nyzy8Kg1VWZNJ2PkdGnMXTSx8hAhtBNcOv5brhl3Hj7k/cvl3l1NoKjz6C7uI9h6fSUY9/71kNM9fPIrxWbGM6R3Dk+cPp09CeGNAJZC8Jp5dhRCip+r2ZZoVCgWfffYZZ599dtB97HY7dvuhT0Fra2vJyMgIWSlYm9ONzekmTKtCqw78yfDy3WVc8fpvAduy4sP54PrjJCGjOOZ09tgUYP4jgBupU4dk6caRFm0t5oZ31gVsG5QSyTvXTCCuC5W47inae2xe+upqTDYXf50durLJK/aW88LSvWz428yAy9463JqX4bu7od9MOO6WLlNlx+6287eVDxKmCeNPA/7U2sVBPpROK31/+j/KB8wid8q8djhi6OTX5fP8hudxe928cOILDI33n33c1XTkvbPO5sTrBaNBQ0mtjfNf+pW8SmvAfd+dO4HJ2ZLHRgghDtc1PkrpYDqdDqPR6PMVSnqNiugwbdDgCkD/pEh6xwX+5Pi+UwdJcEUckzp7bAoI16mJMmg6JbgCMDw9ipQgybAfOG2wBFc6SXuOTZPdxZr9lYzMiG6/DjZDdkIEUF+9KKQ8blj8QH1wZci5MPHPXSa4AvDhro+otlcxq/fMdgmuAHg0Bir6ziBx29foqoNXKeuK0iPTuf+4+4nVx3LVoqtYlress7t0VB1574zUazAa6vMEJhn13BckKJoVH944xoQQQhzSIwIs3UFylJ53rpnAzMGJNLzPSTLqeO6ikYzPCs2adSGECLXUaAPvX3cc0/snNOb9TI3S8/LlYxieLklpjwUr9pTh8ngZFaL8Kw2SjDqiDBrWhzJPhLUa3rsYVr1Qn8x27NVdIqFtg9+Kf2NJ3hKmZ0wnVt++yX+r+kzFaYim9y/PQjebHG3UGrlr7F0MiRvCrUtv5b2d73V2l7qMSdnxPPOnkSRE1ge7lQo4eUgyb18zniSpFCmEEH66ZRUhk8nE3r17G78/cOAAGzduJDY2ll69enViz9omIzaMpy8cSaXZgcPlIVKvIcmo69HZ7YUQx77eceE8d/EoKi0OnC4PRr1GHtyPId9vK6FXbFjIS2MrFAr6J0Wwen+I8oIUrIeP5oClAk58CNLGhOa8zbS3ei+vbnmVwbGDGJU4ut2P71VpKBl2DhlrXiVhxzeUDT693c/RkbQqLTeOvJEPdn3A/635P3Jqc7hr7F2old3yUbndRBk0nDUylQl9YjHZXGjVSuLCdUToe/bvRQghgumWV8e1a9cyY8aMxu/vuOMOAK688krefPPNTupV+4jUa4jUa46+oxBCHEOMhkPT0sWxw+Z088P2EmYNSeqU8w9JjeKd1TmY7S7CdR30yON2wopn4OcnIDYLTn8GIpM75lyttKtyF8+sf4aU8BRmZ53abkuDjmROHEhV7+PotfJ/mBP6Y0no30Fn6hhKhZKLB15Mclgy7+58l92Vu/nXtH8Rb+jZeUYUCgUpUQaQSYVCCHFU3XKJ0PTp0/F6vX5f3T24IoQQQhxLfthegsnuYnLfznmDOjIjGpfHy/LdZR1zgtw18PI0WPZ4fb6VU/7VpYIrXrwsyV3Ck+ueIik8mfP6nYe6g/PBlA45C3tkMv2/vQ99dV6HnqujzOg1g7+M/Qt7qvdw7pfnsiR3SWd3SQghRDfRLQMsQgghhOjavF4vr688wKCUSFKjDZ3ShySjnsy4MD7fWNC+By7dCR9eAa/PAo8TTvs3jL4CVF1nFlaeKZ+nfn+Kt3e8w4j44VzQ/3y0qo6vpuRVacgffzVutZ6Bn99KZMHGDj9nRxgQO4CHJj5E78je3Lr0Vub9NI/9Nfs7u1tCCCG6uG65REgIIYQQXduircVsyK3mnlMGdGo/ThiYyJu/HmRPSR39kiJbfyCnFfYshvULYO+PEJEIk2+DPjO6TJUgu9vO1vJtLM9fzubyzcTqY7ig/wX0icoKaT/cughyJ91I2rp3GPDVXygbfBpFoy7GEdk5S8VaK0oXxbxR8/i95Hc+3v0xZ39+NjMyZnBe//OYmDIRTRcKqAkhhOgaFF5vN0v13g5qamqIjo4mLy9PysIK0QEiIyNblZxZxqYQHSsUY9PmdLN0dwUPf7eXgUnh3DS1V6cma3e6Pfz9272Ea1X88+yB9E8MD76z1wtOCwp7DQpzKcqaPFTlu1AVb0BV8BsKlw13bDauvrNw9ZoCIU6A6vV6cXqc2NxWzE4LtY5aKu2VFFuKyanL4aDpIC6PiyRDIsPjhjMgeiAqRSdOVvZ6iM9bQ/L+paicVqqThlKVMhJTbBa2iCQc+mhcGkOXCVA1xelx8lvpb/xS9AsF5gIMKgMj4kcwMHogmZGZJIclE6OLwag1EqYOa3Fy3NaOTZB7pxAdrS3jU/Q8PTLAkp+fT0ZGRmd3Q4hjVk1NTase8mRsCtGxOnpsKsOjybjlncbvPU47XpejxedrbyrDoZkrha/fgrPsoE/7xuvDGZHcvDf5FRZPe3btqBQaJUpdC4MkXezRTu/1crQaUg9ERPGJoYngVxeijmh+8KRqeRUFrx99iVppaSkJCQmt6o/cO4XoWK29d4qeqUcGWDweD4WFhW2KRtbW1pKRkSGfFrSC/O5apzv93lo7ttpjbLaX7vT7boue8nNCz/lZm/o5j4Wx2Vw94d9bfsbur+Hnq66uJiqqdWV6Wjo+j/XfaUvI7+IQ+V0ccuTvojvd+0Tn65E5WJRKJenp6e1yLKPR2OMvQq0lv7vWOZZ/b+05NtvLsfz7PlxP+Tmh5/ys7flzdsWx2Vw94d9bfsbury1v3lo7Po/132lLyO/iEPldHCK/C9EaUkVICCGEEEIIIYQQoo0kwCKEEEIIIYQQQgjRRhJgaSWdTsdDDz2ETqfr7K50O/K7ax35vYVWT/l995SfE3rOz9pTfs6j6Qm/B/kZu7/O+PmO9d9pS8jv4hD5XRwivwvRFj0yya0QQgghhBBCCCFEe5IZLEIIIYQQQgghhBBtJAEWIYQQQgghhBBCiDaSAIsQQgghhBBCCCFEG0mARQghhBBCCCGEEKKNJMAihBBCCCGEEEII0UYSYBFCCCGEEEIIIYRoIwmwCCGEEEIIIYQQQrSRBFiEEEIIIYQQQggh2qhHBli8Xi+1tbV4vd7O7ooQ4jAyNoXommRsCtF1yfgUQoiuo0cGWOrq6oiKiqKurq6zuyKEOIyMTSG6JhmbQnRdMj6FEKLr6JEBFiGEEEIIIYQQQoj2JAEWIYQQQgghhBBCiDaSAIsQQgghhBBCCCFEG0mARQghhBBCCCGEEKKNOjXA8vjjjzNu3DgiIyNJTEzk7LPPZteuXU2+ZtmyZSgUCr+vnTt3hqjXIpSqbFWUWkoxO80tfq3X66XcWk6ppRSH29HmvjjcDkotpVRYKyRTvxCHqbHVkFebR7G5uE3HqbBWUGopxeaytVPPhBBdlcfrodxaTpmlDKfbGXAfk8NEqaWUGlsNNfYaSi2l1DkkkasQQoiuS92ZJ//555+5+eabGTduHC6Xi/vvv59Zs2axfft2wsPDm3ztrl27MBqNjd8nJCR0dHdFCFXaKllXvI75W+ZTZiljRMIIbhp5E5nGTHRq3VFfX2ouZdHBRXyw6wNsbhsn9DqBKwZfQXpEOgqFokV98Xq95Nfl89a2t1iavxS9Ss/FAy9mVuYsEsMSW/sjCtHtmR1mcupyeHnTy2wq20ScIY7LB1/OhJQJpISnNPs4ZZYyluUt4+0db1PnqGNK2hSuGXoN6ZHpqJWdepsSQnSAEnMJ3+z/ho/2fITT7WRm75lcOuhS0iPTAbC4LByoPsALG19gZMJI0iLSeG/Xe+TX5dM/pj83j7yZ7JhswjVNPysKIYQQoabwdqGP4svKykhMTOTnn3/m+OOPD7jPsmXLmDFjBlVVVURHR7fqPLW1tURFRVFTU+MTpBFdQ629lhc2vcDCHQt9tqsUKl6d9Spjk8c2+fpSSym3L72dzeWbfbYbtUbeO+09ehl7tag/ubW5XPzNxdQ6an22j0gYwX+m/4eEMAnutRcZm93L2uK1XLv4Wlxel8/2M/qcwW2jbyMx/OgByAprBfevuJ+VhSt9thvUBt477T36Rvdt1z6L1pGxKdpLqaWUm368iV1VvjOWY3QxLDxtIWkRaawoWMHNP93MyZkn08vYi/mb5/sd5+lpT3NCrxNQKVWh6nqXJeNTCCG6ji6Vg6WmpgaA2NjYo+47atQoUlJSOPHEE1m6dGlHd02EUIWtwi+4AuD2uvnHqn9QYa1o8vU7K3f6BVcAah21vL71dewue7P7YnPZeGXLK37BFYBNZZvYXbW72ccS4lhSZCri8d8e9wuuAHy1/ysq7ZXNOk5uXa5fcAXA6rLyzLpnMDlMbe6rEKLr2Fi60S+4AlBlr2LhzoVUWit5eNXDePFyWp/TeH3r6wGP8+iaRymzlnV0d4UQQogW6TIBFq/Xyx133MGUKVMYOnRo0P1SUlKYP38+n3zyCZ9++ikDBgzgxBNPZPny5UFfY7fbqa2t9fkSXdfW8q1B2w7UHqDGXhO03ePx8MXeL4K2/5j7I9WO6mb3pcZew085PwVt/2LfF5KPpQ1kbHZfJqepyQDj78W/N+s4P+T8ELRtecFyybfQSWRsio5gd9n5Yl/we/Tig4upcdRQYilBp9JhcphwefyDuFC/lLjaXt1BPe3aZHwKIUTX1WUCLLfccgubN2/mvffea3K/AQMGcO211zJ69GgmTpzI//73P0477TSeeuqpoK95/PHHiYqKavzKyMho7+6LdqRTNZ1jpcnpwAqazNGiVWpR0PwcLAqFAq1KG7Rdr9K3OKeLOETGZvelUjQ9Lf9o47iBXqUP2qZWqGV8dRIZm6IjKJXKJq8NGpWmccy7ve6j5mA62nXoWNVZ43NdTiXXv70Wp9sTkvMJIUR31CUCLPPmzePLL79k6dKlpKent/j1xx13HHv27Anafu+991JTU9P4lZeX15buig42OG4wakXgh6pRCaOI1kYHfa1SoeSC/hcEbT+///nE6eOa3ZdYXSzn9ju3yeOJ1pOx2X0ZtUbGJ48P2KZUKBmTNKZZxzkl85SgbWdln0WMLqZV/RNtI2NTdASNUsNFAy4K2n5h/wuJ0cXQL7ofLo8LpUJJhCYi4L4ZkRlE66I7qKddW2eNz4e+3Mb320pYta/ppdpCCNGTdWqAxev1csstt/Dpp5+yZMkSsrKyWnWcDRs2kJISvGKFTqfDaDT6fImuK04fx4MTH/TbbtQaeXDig0Tpo5p8fWZkJudm+wdF+kb15dx+57YoIZ5apebCAReSZfT/2zyv33lkRMqnum0hY7P7ig+L56/j/xrwDc6dY+4kVn/0XFoASeFJXD30ar/tKeEpzB02t1lVw0T7k7EpOkrf6L7Mzpztt31AzABOzTqVaH00j015jDB1GAt3LuSe8ff4zVTRq/Q8MfWJHptkvrPGp9nuBmBPqeTGEkKIYDq1itBNN93EwoUL+eKLLxgwYEDj9qioKAwGA1AfpS8oKGDBggUAPPPMM2RmZjJkyBAcDgfvvPMOTzzxBJ988gnnnht8psHhJNt612dymiioK2BlwUqsLispESlMSJ5AakRqs5YMVNoq2V+9nw92fYDZaeaMvmcwOnE0SeFJrepPibmEdaXr+Hrf14Rrwrlo4EX0MfYhxiCfrrcnGZvdT05tDj/m/Mjvxb+TYEjgggEXkBaRRpyh+TPFqm3V5NTm8P6u96m2VzMrcxbHpRzXolLPomPJ2BTtqcJawb7qfby/631sLhvn9DuH4fHDG+/Rbo+bQnMhiw4swuF2MDF1Ij/m/Mj+mv2MSBjBaX1OIzUiVcq4/yEU49Pr9TLob4uwuTzMmZTJ388c0iHnEUKI7q5T70wvvvgiANOnT/fZ/sYbbzBnzhwAioqKyM3NbWxzOBzcddddFBQUYDAYGDJkCN988w2nnnpqqLotgigyFbG+dD1ri9eSFZXF9IzpJIcnN5nDJBiNQoNeXZ+bocxaRnZMNkqlstn5GNQKNdG6aGZkzMDhcZAWntamUo5J4UmcmnUqJ2aciEqpkoc60eW4PW6KzEWsLlzNlootDI0byqTUSSSHJ7fob7/KVkW+KZ/v9n+Hx+thdtZsMowZQWek9Db25pph13BvbqbkAADqGUlEQVTRgIvQqrRoVBo8Xg8FpgLWFK1hS9kWBsQOYHLaZFLCUwKOnWh9NNH6aIbED8HtccusFSG6sGpbNYXmQr7d/y12t51Tsk4h05h51KBqla2KMksZiw4uotxazgkZJ3DPuHuI1kX7jXmVUkVGZAZzh83F7rajUWoYkTACp8eJTqWT3EydoM7uwuaqz71SVtf8aoxCCNHTdOoMls4in8S1vwM1B5izaA6VtkOlWdVKNS+e+CJjk8e2KCDhcDv4tfBXblt6G26vu3F7UlgSr5/8Or2MvZp8fY29hgXbFzB/83yf7aMTRvPk9CdJDEtsdl9EaMnYbL1t5du4+vursbgsjdvC1GG8fvLrDIlv3ieNFdYKnlr7FF/v/9pn+6zes7h3wr3EG+KbdZydlTu5atFVmJyHppEb1AZenfUqw+KHyZujbkjGpoD6IMmLm17kvZ2+BQkmp07mkcmPBF2yU22rZnHOYh5Z/YjP9t7G3vzvxP8d9b4umhaK8bm31MRJT/9MfISWrPhwPrphUoecRwghursukeRWdG9VtioeWPGAT3AFwOVxcevSWym1lLboeGWWMu5cdqdPcAWgxFLC/635v6OWbc2ry/MLrgCsL1vPt/u/xeOV7Pfi2FJqKeX2Zbf7BFcALC4Lty+7vdljcHvFdr/gCsDinMVsKt3UrGOUWcq4Y9kdPsEVAKvLym1Lb2vx9UAI0XXsr9nvF1wBWFm4kl8Kfgn6unJbOY+uftRve05tDi9uelHKsXcD1RYHAOkxYTKDRQghmiABFtFm1fZqNpdvDthmcVnIr8tv0fF2Ve3C4XEEbPu18FeqbFVBX+v1evl498dB2xfuXEiFVbLfi2NLpa2SInNRwLYic5Ff8DMQs8PMgu0Lgra/tf0tah21Rz1Olb2KvLrAFS3KrGVU2GT8CdEdOdwOFu5YGLT9ne3vUGkNfK1Zkb8CL4EnTH9/8PugrxNdR7XFCUCSUU+t1dnJvRFCiK5LAiyizZyepm+0R36SfTRNfZLlxYvL4wra7vF6qLZXB203O80yg0UccxzuwAHJ5rYDuLyuJseq2Wlucuw1cLqbvh7Y3fLJpxDdkdvjbvL+bHKa/GaeNmgqOOv0OIO+TnQd1daGAIuOWpuLHphhQAghmkUCLKLNjFpjkyVZ+0T1adHxmsoXkRqeSoQ2Imi7SqlidpZ/+ccGU9KmEKmNbFF/hOjq4vRx6FSBE8PqVDri9Eev6BOhieCkXicFbT+h1wkYtUdf2x+jj8GgNgRsUyvVJBh6ZllVIbo7g8bArMxZQdunpU8Leo2YlBo8X8fg2MGEacLa3D/RsaotDgwaFdEGDS6PF5P96AF3IYToiSTAItosMSyRe8bdE7Dtgv4XNOvN3eHi9fGcknlKwLZ7J9x71CS1IxNGkmnM9NuuV+m5YcQN8iAnjjnxhnhuHHFjwLbrh1/frOS0DcHJQOM1WhfN2X3Pblay6nhDPLeMvCVg29xhc1tUvlkI0bVMSZsSsHx6uCacywdfHrQCWGpEKqMTR/ttVyqU3DnuTpLDk9u9r6J91dlchGlVGLTqxu+FEEL4kwCLaDOlQsnU9Km8fNLL9I/pD9RX/PnbcX/j5pE3E6lr2YyRaH0094y/h7vH3U28IR4FCgbHDeb1k19nbPLYo74+KTyJ+bPmc+mgSwlXh6NVapmePp33T3+fjMiMVv2MQnRlOrWO8/qdx5PHP0lvY28AekX24snjn+SC/hc0u+xxakQqb5/6Nmf1PQudUodOpeOMPmfw7qnvkhaZ1qxjaFVazup7Fv+Z/h+yjFmoFWrSI9N5fMrjXDLwkqCzW4QQXV9yeDJvnPIGf+r/JwwqA1qlllm9Z/Heae+RHpke9HWpEak8PvVxrh12LdG6aBQoGJ04mjdPfpOBMQND+BOI1jLZXRi0KsK0KkACLEIIEYyUaZZyk+2q0laJw+1ApVDVB0daUI61wlpBha0Ck8NErD6WGH0Mdrcdt9eNXqXH7XVTbi3H4rQQb4gnVh8bdLmQ2+OmxFJCubUcp8dJgiEBrUpLmbUMt8fd+Il+iaUEL14SDAkkGBJCNrulzFJGtb2aSlslkdpIonXRpEakhuTcXZmMTV9Wl5UKawVlljK0Ki3xhngSwhJQKoLHxiusFTg9TtRKdZMzVzweDwWmAirtldhddhLCEojVxxKuDqfEUkKptb7aT4IhgcSwRMxOM1W2KsqsZehUOmL0MaSGp6JRaQIev9pe3fh3HqWNIsGQQIwhpm2/ENFpZGyKBi6Pi1JzaeO1QKfWUW2vRqVQEaWNwuK0oNfU37Nr7bVEaiOJ08cRa4jF4XbU33e9XlQKFRanBbPLTIIhgXhDPG6vmwpbBeWWcvRqPXGGOBLDEqm0VlJpq6TWUUuMPoZYXSxR+qg2/yxuj7s++fYf1814Qzzxhnj0an07/KZCJxTj8+6PN7Eht5prp/bh7k8288mNExnTO/jycCGE6KmOPt9biBZoKhdLU3Lrcrl96e3srtrduO3EjBO577j7SAlPYU/VHv685M/km+orEikVSs7rdx43jbzJ702kw+1gU+km7vz5Tqrs9RWHtEotc4bOAWD+5vnoVXquH3E9FdYK3tnxDga1gb+O/yvTM6a3+mdoroK6Ah5b85hPScv+Mf15atpTZEVldei5RfdRZavi/Z3vM3/L/MbksnH6OJ6Z8QxD44cGXa7TnCU4dpedLeVb+Mvyv1BuLQfq86NcNeQqZmTM4NofrsXsNAMQpg7jpZkvsaZwDfO3zG9Mah2rj+WfU//JiPgRGLS+s1KKzcU8sOIB1hSvadw2In4E/5r2LwkkCtGN2V12fiv+jb/+8lfOzj4bo9bIK1teaUxeHa+P56WZL/Hk70/63OMGxg7kP9P/Q3pkOolhiawrXsfdv9xNjb0GqM8V9eqsV/kh5wfe3fFuY9LbpLAknpnxDAu2LeC7g981Hm9y2mQenvgwSeFJrf5ZnG4nG8s2cueyQ88KGqWGeaPmcW72ue0SwDmW1NlcGDSHZrDUygwWIYQISJYIiU5XZinj5h9v9gmuAPyU9xPPb3ieEnMJ13x/TWNwBeqrBX20+yM+2f2JX2WTInMR1/94feMDE4DD42D+5vmkRaSRHpmOzW3j2fXPMixhGHH6OKwuKw/9+hA5tTkd+rPW2Gp4dsOzPg+eALurdnPr0lspqCvo0POL7mN10Wr+t+l/Pn/fFbYKrl18LcXm4jYdu9BcyI0/3tgYXIH6T6Vf2fIKm8s3kxZxaDlQYlgie6v28sKmF3wqhlXaKrn5p5sptBT6HLvWXsvDvz7sE1wB2FS+ibuX391kmXUhRNeWb8pn3pJ5GNQGBsUO4r8b/+tTGeyk3icxf/N8v3vczsqdzFsyj3JrOYWmQm7+6ebG4ArA4LjB/Fb8Gwu2L/CpKFRiKeHaxddySpZvXraVBSv55+//xORoWZXCwxWaC7n+B99nBafHydPrnmZj2cZWH/dYZbK70GtUGP4IsJgkwCKEEAFJgEV0uhJLCQdrDwZs+3rf11TZq3wegA63YPsCyqxlPtu+2f9N0NLRH+z8gLP6ntX4/Ue7PuKMvmc0fv/G1jeosdUEemm7qLBVsPjg4oBtB2oO+P0somcqt5bzwsYXArbZ3DaW5y9v0/GX5S3D5rYFbHtv53ucnX124/dnZZ/FezvfC7ivw+Pw+3uutFWyonBFwP03lW2i0lbZqj4LITqXy+Pi410f4/a6Ob3P6Xy4+0O/fSalTuLH3B8Dvn5v9V7KLGV8sfcLXF7fN+dn9j0z6HXG5DSRX5ffmF+qwY85P1Jhq2jlTwOLDiwK+qzwwsYX5Fp1BLPdhV6jRK9RNX4vhBDCnwRYRKcrMZcEbXN5XdQ56oK21zpqcbgdh/b3uNhVuSvo/rl1uT5ViPLq8ny+z6nNwewyN7frLWZxWXw+nTtSU78L0XO4PC7y6vKCtm+v2N6m4++t3hu0La8uz6eUcmJYYpN92Vu9F4/H0/h9w9KiYGrttS3oqRCiq3C4Heyp3gPUJ5MPdF1wepx4vB6/7Q1KLaXk1ub6bTdqjT4z6o6Ub8r3K/HuxXvU600wbo+bHZU7grbn1uXidAcOvvRUZrsbvUaFUqFAr1FidgR/lhFCiJ5MAiyi06VE+Jd8bKBRajBqgydsi9HFoFMdqpCiVqoZnjA86P59ovpQZCry+b7QdGiJQ9+ovkRqWlb1qCXCNeFNlrqV/BQC6nMG9YnqE7R9RMKINh1/cNzgoG1ZUVkUmg+NiSJTUZN9GRQ7CKXy0K0kQhuBguDJraN0ktdAiO5Ip9I1XjsKTAUBc4aplWrUiuD3uOTwZPpG9/XbXm2vbrJUc6Yx029ppEqhavX9WqVUHfVZ4fBnCwEWh6tx9opeo8IiM1iEECIgCbCITpcUlsSAmAEB2y7ofwExuhifWSaHu3b4tX6fas3KnIVeFbgCwMUDL+azvZ8dOv6AC/h6/9cAKFBw9bCrW1xWuiXi9HGc0eeMgG2DYgc1K0GpOPbFGmL586g/B2wL14QzMXVim44/OXUyEZrAFbguG3QZn+/5vPH7z/d+ziWDLgm4r0Ft4MTeJ/psi9XHclKvkwLuf1zKccQapOqEEN2RSqni3H7nolFq+Hrf11w04CK/fX7O/5nZWbMDvn5I3BDiDfGc3vd0tEqtT9unez7lskGXBXxdtC6axLBEnzxsAKf3Ob1N98yZvWcGLRs/b9Q8ovXRrT72schsPxRgMWhUmBwSYBFCiEAkwCI6XZwhjmdPeJaxSWMbt6kUKs7rdx7XDr+WxPBEXpv1mk8QRqvUcu2wazkt6zRUSpXP8VLCU3jt5NdIDT80GyRCE8FdY+9iS/kWSiwlGLVG7p9wP8vzl1NtryZWH8tT056iV2SvDv1ZjTojN4y4gTP6nIFKcajfY5PG8tS0p2QGi2g0Omk0946/lzD1odLhGZEZvHHyG23+O0mPTGf+zPk+f+8GtYG7xt7FoNhB1DoOLeOxuCxkRmVy3/j7CNeEHzpGRDovz3yZ1DDfvkRqI/nrhL9ycu+TfWayHJ92PI9MfoRoXXSb+i6E6DxpEWnMnzkftVLNr4W/8tfxf/WZZbqqcBVzhszh1KxTfcrJT0iewNPTnybOEEdaeBqvzHrFZ8ZKXl0eIxNH8udRf/b5gKRPVB9enfWqT94ppULJ6Vmnc+voWwnTHLo+tlRKeAqvzXrNJ6l3hCaCv0/8O0PihrT6uMcqi8ONTl3/b1o/g0WWCAkhRCAKr9fr7exOhFptbS1RUVHU1NRgNAZffiJCq9pWTZW9CovTglFrJM4Q5/PwVGWtotpRjcvjQq/SE6uPpdZRi9vrJkwT5ldeudRSSpWtCrfXTbQuGq1SS7mtHI/XQ7QuGoVXQbmtHC9eonXRpISloFFrQvazVtgqqHXUEqYOI1oX3aZyk8cKGZu+nG4nZdYyquxVaJVaonXRJIQlBN3f4/VQZinD4XGgVWpJCEvweZNzpPy6fGrsNTg8DmJ0MSSFJaFT6yiz1J/T6/USo6+fQWZ1WimzllFtr0atVGPUGullDB6QNDlMVNgqMDlMhGvCiTPEEaltv9lh1bZqTE4TSoWSaF10m95oiaOTsSkaeL1eyixlVNor0Sg1qJVqTA4TKoWKME0YDrcDrUqL2+vG4rQ03p+jdFE43A4qbBW4PC6UCiU2lw27245Ra0StUKNQKHB4HNTaa9GpdMToY4gzxFFjr6HSVonFaSFSG0msPpYIbeBZeMG4PW7KreU4PU60Ki0JhgQUCoXfs0KiIRG1Kvgyp66oo8enx+Olz33fcu3UPpwwMJGHv9rG4FQjT184st3PJYQQ3V33uoOIY1q0PjrolNxSSylvbXuLj3Z/hNVlpU9UH24eeTOri1bz0e6P6B/Tn3vH38vg+MGNn/gnhiX6LS2KD4v3+T4lMnj+l45SY6vh18JfeWb9MxSZizBqjcwZModz+p1DvCH+6AcQPYZGpSE1IrVZM1YqbZUsPriYlza9RIWtgjh9HDeMuIFZvWcFXJZTZCri5c0vN1bdGhI3hHvH38uA2AEkhSf5BfzCteGEa8P9jhNMhDaixW+AmsPhdrC3ei+Pr3mcjWUbUSvUzMqcxbxR80iPTG/38wkhfCkUChLDE0kMD7x0N5gScwmvb32dT/d8is1to190P+4Zfw+JYYk8+OuD/F78OyqFihkZM7h9zO0+AdwoXVSb8jdVWCv4Zv83vLrlVarsVSSGJXLzyJuZkTEj4LOC8GV11s9WaZjBolMrsUqSWyGECEiWCIkur8JawV+W/YUF2xdgdVkB2F+znzt/vpPhCcPpG92X3VW7ufr7q9le3rbqKh3N5XHx3cHvuOeXeygy1yfbrXXU8tyG5/j32n9LhRXRKlaXlXe2v8Njax5rLFtaYavgsTWP8faOtxvHTYMScwnX/nAtn+/9vLFM6baKbVy56Er2V+8Pef9bIqc2h8u+vYyNZRuB+kpj3x74ljmL5jSOKSFE11JmKePPS//Mwp0LG0vE76new9zFc9lesb2xgp7b6+bH3B+54rsrfBLQt4XJYeLlzS/z5NonqbJXAfUf2jz060N8vPtj7G57u5znWOYfYFFhkQCLEEIEJAEW0eUVmApYX7Y+YNsrm1/hwv4XAvUlG//1+7+oslWFsnstUmYt47n1zwVs+3r/141vjoVoiQprBW9seyNg25vb3qTC6vt3tb1iOzm1OX77ur1u/r2u6wb6zE4zL2x8oTEodLgSSwm/F//eCb0SQhxNbl1u0PLyr255lQsGXOCzrcJWwZLcJbTHKvZKWyUf7PogYNv8zfObLA8t6jXMVtH9keRWp1ZikSS3QggRkARYRJe3oXRD0LbculyfZTU7KndgcVpC0a1WqbXXUuesC9qeW5sbwt6IY0WlrRKXJ/DDrsvjotJW6bNtad7SoMdaW7IWi6trjiGTw9RkEOWnnJ+C/h6EEJ2nqXG7t3qvT1L6BsvylvnNvmuNUkspHq8nYJvNbaPaVt3mcxzrGmarNM5g0SgxS5JbIYQISAIsosuL0wcvw6hR+ialNagNflWFuhKdStdke3smARU9x9H+ro5sbyrfQLQuusnEuJ1JpVQ1WYUoISzBpzqXEKJraCq/mF6lDxgAidHHoFa2PVXg0RJgH+36KYItEZJgthBCBNI1n6KFOMzIxJFBH7JO6n2ST/nGC/pf0GRAprPF6GIYlTAqYFu0LlrKNItWidPHBS0x3iuyl9+YmJ01O+ixLh10aZcdQ3H6OK4YfEXQ9vP7nY9CoQjaLoToHBNSJgQNfp6SdQo/5f7kt/2yQZehVWnbfO44QxxJYYGr9PWP6e9XgVD4a1gipD1sBktD0EUIIYQvCbCILi8hLIFnZzyLWuEbZMmOzub0Pqez6OAiAIbGDeWKwVegUYWm1HJrROmjeGTKI34Pewa1gRdOfEEqGYhWiQ+L55kZz/jN7ojSRfHMjGf8qmclhyXz94l/R4FvMGJc8jjOyT6ny84CUygUnNDrBKalT/Nru3PMnaRFpnVCr4QQR5NoSOSpaU/5BVkGxQ7i3Oxz+TH3R5/tNwy/gcyozHY79/MnPE+kxneGaJw+jiePfzJglTXhy9Y4g+WPHCwqJTZn4GVXQgjR0ym87ZFBrJupra0lKiqKmpoajEZjZ3dHNIPdbafUUspvRb9RYilhTNIYUsJTWFeyjiJzEcelHEcvYy+/acgWpwWXx0WkNhKFQoHZYcbj9RCpq3/QMjlMAEHLydbZ61AqlC0qTxuMy+3C4rKgVWmpsdewu2o3m8s2kxWVxYiEESSFJ7XLdOjuTMZm63m9XorNxWyt2Mquyl0MiB3A0LihJIcnB5zVYXFaqLHXUGWrwuV1EaWNIkIbQZyhfvbK0cbG4VweFxZn/d+2Xq1v3x8sgEpbJYWmQlYUrCBcE86UtCkkGBI6pCy0qCdjU7SU0+3E6rI2LsGxOC3UOetYXbSacms545PHkx6Rjkqpwuwwszh3MVqllqnpUzFqjURoIjBoDG3uR8O9t9ZRy7aKbeyt2svguMEMjBtISnhKm4/fFXT0+Px2SxE3vbueV64YS4ROzffbinnvt1x2PRp8NqQQQvRUPfvdnOg2bE4bpZZSdlftxuF2sK18G6kRqZyVfVbAfBHl1nK2lm/l3R3vYnVZmZ05m3Ep43hp00vUOeq4dfSt5NTm8PHuj/Hi5bx+5zE+eTxJ4fUzS4rNxfyS/wtf7vsSrUrLJYMuYXj8cBLCElrcd5fHRaGpkI93f8y6knUkhScxZ8gcRiaMZGr61Db/boSA+iCkyWliW/k2auw1bC3bSqYxE5vLFvBNSpWtip1VO/lg1wdYnBaOTz+ekzNPxu11s7Z4LR/t/ijg2Dicx+uhwFTA53s+Z3XRahIMCVwx5Ar6RvclShfVYT9rrD6WWH0sQ+OHdtg5hBCt43A7KDQV8t7O99hSvoWMyAzOzj4bt8eN3W1nb9VenB4nG0s3ggI+3Pkh45LHcWbfM1Gh4ot9X7AsfxlRuiiuGHwF/WP6E6OPaXE/XB4XBaYCPtz1IRtKN5AWkca1w65latrUo+ZlEb5sR+Rg0aqV2F0ePB4vSqUsyxRCiMPJDBb5JK7Lq3PUsWDbAl7a/JLP9khNJAtmLyA7Jttne4W1gkdWP+K3pjstIo0HJjxAjb2Gd3e+y5byLT7tA2MG8t8T/4sXL3MXz/UrYzs5dTKPTnm0yWR9gWyv2M6cRXP8qiHcM+4ezu13rjzoHUbGZuu4PW5WFq5k3pJ5PskilQolz5/wPJNSJ/nMjiqoK+DZ9c/y3cHvfI7z72n/5q1tb7G5fLPP9sFxg3luxnN+QZY9VXu4/LvLMTvNPtvnjZrHxQMvlqTNxxAZm6K5NpRu4Jrvr/Erp/7AhAf4Of9nfin4pXGbUWvkn8f/k7t/vpsYfQz3TriXm368CS+HHk0vGXQJN424qcVB2y3lW7hq0VXY3Xaf7X877m+c0eeMdpkd01V09Ph8d00OD3y2lXfnTkChUPDrvnKeX7KXbQ+fTLhOPqsVQojDSQ4W0eWVWcv8gisAdc46/vn7P6m11/ps31+9P2DCvAJTAdsqtmFymvyCKwA7q3ayPH85KwtW+gVXAFYWrmRn5c4W9b3SVsmDKx8MWGryqbVPUWGraNHxhAikzFrG/Svu96vE4fF6uH/F/ZRby322F1uK/YIr2dHZFJuL/YIrUB8kXFm40mdbjb2GR1Y94hdcAfjvhv9SYZW/bSF6mjJLGfetuM8vuALw5NonuaD/BT7bah21LNyxkDOzzyS3LpfVRas5LuU4n30W7lhIibmkRf2osFbwt5V/8wuuADz+2+Ny720hq8ONTqNsXG7akOxWEt0KIYQ/CbCILu+3ot+Ctq0uWk2t41CAxeP18PGej4Pu73A7+PbAt0HbP979sc/xjvThrg9xuB1H6fEhNfYadlXtCtjm9rrZUbGj2ccSIpgKawXV9uqAbdX2ar9gxzf7v/Hbb1LqJL9Ek4f7cNeHVNsOnaPGXsOGsg0B9/XirZ/+L4ToUart1eTX5Qdss7vt1DnrMKh9Z46sLFzJmKQxAPyY82PApbNL85a2qB819hr2Ve8L2ObyuNhbvbdFx+vp7C5PY4JbOJTstqG6kBBCiEMkwCK6PLe36Rv44VOJ8eL3Kf7hFApFk+1ur9uvssrhXB4XLVlVd7R9j/azCdEcPmOgGe2BxoBSoWxybBzZdrRzyt+2ED3P0e55Xq/XL2/a4deWYNeNll5PjnZ9aupaJ/xZHe7GWStwKBeLTWawCCGEHwmwiC5vQsqEoG2jEkZh1B5ab6xUKjm337lB91cpVJyceXLQ9nP6nUOYOnhOlAv6X4BOrTtKjw+J0kXRN7pvwDYFCobEDWn2sYQIJk4f51eCtEGkJpI4fZzPttlZ/pUf1hStYUbGjKDnODv7bJ8cCEatscm/39FJo4/WbSHEMSZaH01yeHLANo1SQ5Quym9Z4YTkCWwpq1+2e0LGCawuWu332qauTYEYtUZ6G3sHbFMpVPSL6dei4/V0NqcbrerQWwZZIiSEEMFJgEV0eQmGBC4ddKnfdoPawH3H3eeX+K5fdD+/NdwA8YZ4hifUVwLqH9Pfrz3TmMmJvU5kSvqUgA+IIxNGtrhqSZwhjocnPoxGqfFru2nETcQaYlt0PCECSQhL4O+T/h6w7cGJD/pVv0qLSOP49ON9tu2o3EGmMZN+0f5vPLKMWZzQ6wSfcs8x+hgenPhgYwnWw80ZMscvqCOEOPYlhiXyj0n/QKVQ+bXdMuoWvtz3pc+2MHUYVw65ks/2fkZSWBLHpx/PioIVPvuc2ffMoEGbYBLCEnh40sOoFf4JWP88+s9yfWohm8t3BktDsMXmlJlAQghxJKkiJNUQuoVKWyXbyrfx+tbXqbBVMCFlApcNuoy0iDSf6igNSi2l/Fb0G+/seAeb28as3rM4odcJ/Hf9f6l2VHPPuHvYUr6FT/d8ihcvZ2efzczeMxsf4gpNhXx74Fu+2f8NWqWWiwZexOS0ySSGJba47w63g/y6fN7a9hYbyjaQFJbENcOuYVDMIKL0HVfKtjuSsdl6ZoeZg7UHeWXLK+yv3k+f6D5cO+xaMo2ZhGvD/fbPr8tnXck6luYuxeV10SeqD+f1Pw+dSseyvGWNJczPyT6Hk3qfFPANjsvjIr8un7e3v83vJb8Tr4/nmmHXMDhucKvKqoquS8amaC67y05uXS6vb3mdbRXbSItM44L+FxChiaDEUsLHuz+myl7FhOQJzMqcxfs73mdg3EBO63MaeGHhzoUsL1hOlDaKq4ZexYiEEcQZWh4Qcbgd5NXl8cbWN9hctpmUiBRuGHED2dHZx1yFs44en3d9tInN+dU8fGb9h0wVJju3vLeBt64ez7T+CUd5tRBC9CydGmB5/PHH+fTTT9m5cycGg4FJkybxz3/+kwEDBjT5up9//pk77riDbdu2kZqayt13380NN9zQ7PPKg2LrVFgrKDQXsqVsC4lhifSL6YfVaWV96XpSwlMYEDuAxLDEgAGP9lJnr8PhcaBRaqiwVbClbAuV9kpGJYwiMSyRlIgUn/2r7dV4PB6idFGolCqqbdV48BCti0aBojExaLQu2ufTeagvfVvjqEGJkmh9dJv7bnfZMTlN6FV6zC4zeXV57KrcRUZkBtnR2SSHJzf2odhczIGaA+yv2U/fqL5kRWX5lcg9FvXUsVnnqKPcWs76kvUoUDA6aTTxhngitBEtOk5ebR41jhpq7bUYdUaiddGkR6YH3NfuslNmLWND6QbqHHWMShxFcngyMfoYvF6v39iotlVTaillQ+kGwjXhjEgcQbw+HoPG0Pi3rVVpQ/LGpcZWQ6m1vi96tZ5RiaOIM8Q1ubxPtE1PHZs9mdfrpdhczJ7qPeTX5ZMdnU2ENoKdFTvJjsnG6/Vid9sxao1sKt+EXlU/FuMN8YRpwrC6rFicFvRqPQA2l41wTTgOjwOn20mkNhKL04IHD1Ha+ns0gNPtpNZRi0apwahr3t9arb2Wcms560rXoVFoGJVUf02I0ERgd9mxuCxYnBZyanM4WHuQ7Ohseht7HzP31Y4en7csXM/BcjP3nza4/nw2J9e/vY6XLx/DyUNaNrtICCGOdZ1avP7nn3/m5ptvZty4cbhcLu6//35mzZrF9u3bCQ/3/8QV4MCBA5x66qlce+21vPPOO6xcuZKbbrqJhIQEzjvvvBD/BD1HibmEu36+i41lGxu36VV6/jH5HyzOWcy6knWEa8J5+aSXGRI/pMOCLJG6SMwOM6uLV/OXn//iUwpyXNI4Hp3yKKkRqY3bonXRPq8/MlDS1KfsKqWKWH37LeHRqXXo1DoK6gq44ccbOFh7sLEtShfFqzNfZUDsAA7WHmTu4rmUWkob25PCknh11qtkRmW2W39E11Btq+at7W/x6pZXfbbfNOImLhl4SbNnOe2p2sONP95IieVQOdOksCRePOlFv3wDVqeVXwp+4Z7l9+Dyuhq3n9jrRB447gHiDfE+Y6PcWs6/fvuXT2lnlULFo5Mf5YReJxCmCWtRbqK2qLBW8O+1/+ar/V81blMqlDw08SFmZc4iQtOyoJQQwp/X62Vn5U7mLp7rU1kvy5jFPePv4YYfbuBvE//GqsJVfLb3s8Z2pULJvePv5fQ+pxOhjfCpGBSuqX+u06Nv3KZVaf3OrVFpWjRjpdJWySubX+GdHe80blOg4PYxt3Nev/Mw6ozkmfKY+/1cn/LMaRFpzJ85n17GXs0+V09lc3rQqCTJrRBCNEen5mBZtGgRc+bMYciQIYwYMYI33niD3Nxc1q1bF/Q1L730Er169eKZZ55h0KBBzJ07l6uvvpqnnnoqhD3vWewuO69secUnuAJgc9v428q/ceXgKwEwO83c8OMNPoGBjlBiKeGuZXf5BFcAfi/5nfd2vofdae/Q87dFrb2Wv6/6u09wBepLSt74040UmAq4dcmtfr/DEksJd/58p1+5XdH97aza6RdcAfjfpv+xp3pPs45RaCrk7uV3+wRXoP7v5i/L/0KhqdBne7GlmL8s/4tPcAXgp9yf+Hb/tz4VNrxeL0tyl/gEV6C+qsd9K+6jyFzUrD62l1/yf/EJrkB9RZCHfn2IIlNo+yLEsarEUsKNP97oE1wBOFB7gLe2vcV1w6+j0lbpE1yB+rH42JrHyDcFLtXcEbaUbfEJrkB9FaGn1z3NwdqDlFnKmLdknk9wBaDAVMA9v9xDla0qZH3trmxO3xwsDcEWKdMshBD+ulSS25qaGgBiY4PPGli1ahWzZs3y2XbyySezdu1anE5nwNfY7XZqa2t9vkTzVdgq+Hzv5wHb7G47BaYC0iPqlyGYnCb2V+/v0P6sKFzh98awwce7P6bEWhKwrSuoslcFrJAA9bMEqu3VHKg9ELB9d9VuKm2VHdm9kOvpY9PsMPPalteCtr+57U2sTutRj1Ntr2Zv9d6Abfuq9zUu92mw+ODioGVK39z2JuXW8sbvK6wVvLH1jYD7evHy1b6vArZ1hAprBa9vfT1o+yd7PmlRGXURXE8fmz1dkbnILyDRYFXRKsYmjeWzPZ8FbAd4b8d7uDyB79PtqdZeyytbXgna/vb2t7G4LOTXBQ74bC3f2i3vq6Een0dWEVIqFGhVSpnBIoQQAXSZAIvX6+WOO+5gypQpDB0avFJLcXExSUm+a2aTkpJwuVyUl5cHfM3jjz9OVFRU41dGRka79v1Y5/Q4sbuDzwqpsFX4lEous5Z1aH+KTcVB20xOU9A3jl2BzWVrst3itDTZ3tS/Q3fU08em3WNvclZSmbUMu+fo/+ZWV9NBmCPbg73ZgPrxfPgYcnvdPgGXI+XX5YcsqOHyuIK+6QMoMhXh9soDf3vo6WOzpzvarA4v3ibHYomlJCQBFofH0WQ/yqxl2F1NX0OPdl/uikI9Po+cwQL1pZptrq77vCWEEJ2lywRYbrnlFjZv3sx777131H2PTEba8HB/5PYG9957LzU1NY1feXl5be9wD2JQG0iLSAva3i+mH3l1h36nA2KbTlLcVuOSxwVty47ODrimu6uI1EY2mYgzzhCHUhF4WKoVar+S1N1dTx+bkZpIxiePD9o+IXkCEeqj5xSJ0cUELIsK9blSYnS+uYampE8Jeqzh8cMxqA7lTQjThDEycWTQ/adlTAt67W1v4ZpwRiYE78vU9KkdmmS7J+npY7On623sHbQtXBOOy+NiePzwoPtMTpscsIR7e4vURDI2aWzQ9uNSjiNSG4mCwNcorVLbLe+roR6fdpdvDhaoD7DIEiEhhPDXJQIs8+bN48svv2Tp0qWkpweueNEgOTmZ4mLfGQylpaWo1Wri4gInRdPpdBiNRp8v0XyJYYncOfbOgG39Y/pjcVqoc9YBMCZxDElhHZuVv19Mv6APf7eNvs0nyW1Xk2BI4Lrh1wVsO6HXCURpozi/3/kB2y8aeBFx+paXquzKevrY1Kg0XDzoYvQqvV+bQW3g/P7no1YdPWAQq4/lnH7nBGw7p985fsmcRySMCFh2WYGCu8be5ZNYN1IbyW2jbwsY+EsMS2zyzU17i9BGMG/UvIDBpDh9HJNSJ4WsL8e6nj42e7o4QxzT06cHbLts0GW8s+Od+uuTwv/6FK2L5oReJ4Qk8KpT67h66NVolf4frERqIhuT7Z7R94yAr79i8BXEG+I7upvtLtTjM9AMFp1aic0lARYhhDhSpwZYvF4vt9xyC59++ilLliwhKyvrqK+ZOHEiP/zwg8+2xYsXM3bsWDQaTUd1tcebkDyBp6Y91fimTK1Uc1qf07hjzB08vfZptEot5/c7n38e/88WZf9vjfTIdP534v+Y2Xtm4xut9Ih0/j3t3wyND768rCvQqDSc0+8c7ht/X+OsAoPawBWDr+CBCQ8QHxbPTSNv4sYRNzZWQ4nURDJv1DzmDptLmEbK0B5r0iLSePvUtxkRP6Jx28iEkbw9++0mZ44dLlofzXXDruO64dcRqakvkxypiazfNuw6vwBLcngyr5/8OjMyZjQGTjKNmcyfOd+v4hBAn6g+vDrrVfpE9QHqAzHT0qfxxslv+JVG72iZUZm8fvLrZEdnN/ZlSuoU3jzlzS4dXBWiO4nWRfPgxAe5bNBljQHgWH0s80bNI0wdxvaK7bg9bp474Tn6x/RvfN1xKcexYPaCZl+72kN6RDpvzX6LwbGDG7eNTRrb2I9IbSS3j7mda4dd2ziD1Kg1cseYO7h88OWNZaRFcLZAM1hUSuxOWSIkhBBHUng7MSPgTTfdxMKFC/niiy8YMODQspKoqCgMhvop6vfeey8FBQUsWLAAqC/TPHToUK6//nquvfZaVq1axQ033MB7773X7DLNtbW1REVFUVNTI5/KtVCppRSL04JGqSFGH0Odow6Ly4JWpSVCHUGVvYpaRy3h6nBi9DHEGlpf5rjOUUelrRKry4pRayRcHU6VvQqb20aUNgq9Wk+1vRqn20mYJoz0yKZnP3Ukl8dFmaWMWkctWpWWGH2MX4now7k9bsqsZVhdVnQqHXGGOJ/p1C63izJrGTa3Db1aT4IhoUcsfejJY7OgroAaRw0KFETpopoMFtTZ6yi3llPnrMOgNmDUGkkKT6LWVku5rRyT00SEJoJ4fTxGffDfo8lhotpejcvjqt8/rOlPciusFdQ56lAp65cdRWg7ryTy4X2J1kYTqYvstL70BD15bPZkDreDcms5To8TtUKNxWXB4XY0lly2u+2EqcNwe90oFUrUSjVmpxm1Uk2sPrbdlt+YnWYqrBVYXJb6a5Uh3i8wUmWrf/5ouIYeeW6n20m5tbzxvppoSESlDLy0srvp6PE5/O/fc9qwFM4ceShw9uAXWxnTO4Ynzgu+VEwIIXqiTn3H9uKLLwIwffp0n+1vvPEGc+bMAaCoqIjc3NzGtqysLL799ltuv/12XnjhBVJTU3nuueeaHVwRbZMYlujzfcOMiiJTEfO3zOeDXR9gd9sbP+G+e/zdZES2PPlaoamQR1Y9worCFUD9LI9LBl5CQlgCT/z2BOGacG4ccSNn9j3T79P5UKux1fDdwe94bv1zjUulRiaM5NEpjwZdyqRSqgIu0WigVqlDPjNAdA67287m0s387de/UWAqAOpnaT06+VGGxQ/zyylUYCrg0z2f8vb2txuT105Mmcj9x93Pezve44NdH+DyulAr1JzR9wxuGXWL37htEKGNaFGQJM4Q1+Ez1JqrK/VFiGOVVqUlNSKVnNoc7vnlHjaVbQLqZ4BcNfQqzE4zX+37ivsn3I/X6+WBlQ803gdHJYzikSmPNJnPpTlKzCU8tfYpFufUVz/TKDVc2P9C5g6b6xMUjtHHNPk8oFFp5L7aSnaXx2+JkEaqCAkhRECdvkQo0FdDcAXgzTffZNmyZT6vmzZtGuvXr8dut3PgwAFuuOGG0HZc+LA4Lby7410WbF/QWOXGi5dl+cu4Z/k9FJmKWnS8cms5t/x0S2NwBeqroLy29TUqrBVMTZuK2WnmqbVP8VPuT51elnVl4UoeW/NY40MlwMayjVzz/TUUm4NXPBIC6qvwXPfDdY3BlYZtcxfP9av2Y3PZ+Hrf18zfPN+nMtCqolXcuvRW+kb3bSxh7vK6+GzvZzz5+5PUOeoQQojWKDYXc/X3VzcGVwBqHbU8u/5ZksKSiNZFc+vSW1EofXOubCjb0Ob7YLWtmgdXPsiig4saq5s5PU7e3fkuL29++agV1ETbeb3egEluNWoFVgmwCCGEny6R5FZ0byWWEj7Y9UHAti3lW5osoRhIgamAPdV7Ara9v/N9Tu9zeuP3L2x8gVJLaYuO357KLGU8u/7ZgG0llhJ2Ve4KcY9Ed2J32Xlz25uNQZHDuTwu3t3xLg63o3FbsbmYBdsXBDzWvup9AatUfX/weyptle3bcSFEj7GjYkfQ++xb297ivP7n4cXLR7s+4rQ+p/m0l1hK2F21u9XnrrBV8GvRrwHbPt7zcZMl5EX7sP9RijlQDhab5GARQgg/EmARbWZ2mrG5bUHbc2pzWnS8/dX7g7bVOet8cpE0rKfuLHa3nUJzYdD2LeVbQtgb0d1YXBa2lW8L2r61fCsWp6Xxe6vLSq2jNuj+eXV5JIT9P3v3HR5VlT5w/Ds9M0kmvYcAoRN6UxAEQbEr9t7Fsqur6+r+dHfdXV1Xd+3r2tYO9oIFUbGCCCLSe28JpPc6fX5/HFImMxOSkJ738zx5ZM69c+eAOffOfe857xvn0+bFS5m97Ng7K4TolRrOXGnsUOWhuup2u0p2kWZN89tnS+GWVn92Uw9QXB6XzM7rALUBlsZLhIw6rcxgEUKIACTAIo6ZRW8JWMK1VqIleK6RQJpK7tm4FGOoITRgecaOYtAamkzid6xrz0XPZtKZSA0Lnpw5NTzVJ5FjiC6kyd/3eEs8pfZSv/bahJRCCNFStdXDAokyRdUt00kOS6aoxn/Gaj9rv1Z/9tFyrIXq5dzW3uxHSjEbG89g0eskB4sQQgQgARZxzKJCopjVZ1bAbcmhyUETbAbT19q37olYY6f3P50lWUvqXl825DJizU1XPmlPseZYrh1+bcBtZr2ZcfHjOrZDoluxGCxcP/L6oNuvHXGtT4AlKiSKswacFXDfmJAYDDqD32yVUbGjiA5pfTUvIUTvNi5hHGa9OeC2CwdfyMK9CwG4YNAFLNq3yGe7WW9mdNzoQG9tlpiQGPpH9A+4bWrK1GOqVCiap7YUs6HxDBa9JLkVQohAJMAijllUSBR3TbiL8QnjfdpTw1J5dtaz9LG2rIpQYmgiL89+mQRLgk/75OTJzOgzg8UHFgMwu+9sLh92OQad4dj+AsdAp9UxZ9Aczhlwjk97pClS/R1CE4K8UwhlQOQA/nL8XzBo63+PjVojf5/8d/pbfW8sIkMimTtyLickn+DTnmBJ4IWTX2Dx/sU+7YOjBvPoiY92eqUtIUT3lRiayMunvOw3W/O0fqeRZk1jXd46bhtzG3qtnrzqvLrtUaYoXpn9SpMV844mzhLHszOf9ZsFMzpuNH+d/FfCjVKevb3VzmAx6HyTGBt1GsnBIoQQAWi8nV2CpROUl5cTERFBWVkZVqu1s7vTY+RW5VJsK1Z5IMxxJIUmYdHosLlsGLUGosKTKLWVYnfbMelMRIZEUmIrweF2EKIPIcIUQXFNMU6Pk1BDKFXOKrIrsym2F9MnrA9Wk5VKRyVOj5MwQxiRpkhsbhser4cwY5jfMgi3x02xrRiP14PVZA36BK65alw1lNvL0Wq0RIdE43A7KHeo10adkRJbCQfLDxJuDCc5TM3caWrplPDXW8emzWWjoKaAg2UHQaOm1MeZ4zDpTQH3z6nMocxRRlZFFtEh0cSb4+lj7UNhTSF5VXnkVeeRYEkgMTSxrpRxdmU2bo8bi95CjEW1Od1OsitVDqEwY1jdvk63kxJ7CXhVUKe2VHSNvZxyWylajYbo0ER0nRjcFB2rt47N3iq/Ihu7x4lBZ0Cr0ePyuHB73RTUFFDuKGdAxADsbjsOtwOryUqYIQytRkuxrZiD5QexmqwkhSbVXQdzKnNweVyE6EPQa/Q4PA7CDGGEGtV12+6yU+ooRYOG6JDoulxr5fZy7G573TmpoKaA5NBkYs2xRJujcXvcFNmK8Hq9RJgifGb89SbtOT63HC7jrP8u559zRpAeF1bX/tHaLJbvKWTVn05u088TQojuTn/0XYRonsTQRBJDExkeM5yKqgJ2lOziPxtfYG/ZXlLCUrhx5I2UO8p5cu2T9LP246ZRN5FVnsWLm15kQOQAbhl1C5sLNzN/23yGRg/lplE38Wv2r3x98GvumXgP6/LX8ea2Nym2FTM+fjw3jLyBj3Z/xJLMJUxKmsRvx/yWftZ+GHQG8qry+GTPJ3y06yNqXDWc1Ock5o6aS5/wPi0Oerg9brIqs3hp00v8mPUjZr2ZCwZdwMTEifxp+Z8AuHzo5ZyRfgbT+0xvj39a0cMV1RTxzvZ3+PHQjwDM7DOTy4ddHjAfUY2zhmJbMc+se4YD5QcIM4RxdcbVGHQG9pbu5fkNz1NQU0CsOZbfjPkN6dZ0fs7+mfnb5lNQU0BGTAZ/GPcHwkLC+GLvFyzYs4BqZzXHJR3HLaNvIdIQyfzt81m0bxEer4cz08/kimFX4PW4eGHD8/yYvQKz3swlA+ZwzqA5JIQHzyEjhOheiirz2FW2l+c2Ps/e0r0khyVz+dDLKXOUsezQMu4ceyeDIgexYPcCPtnzCU6Pk9l9Z3PdiOtIDUvFarLSL6Jf3fFyq3JZl7eOV7e8SnZlNoOiBnHr6FvJq8pjSdYS7hx/JzqNjnlb5/HNwW/Qa/WcN/A8Lhp8EbnVuTyz7hl2FO8gMTSRW0ffysTEiXUz8nKrcvlk9yd8tPsjbC4bM9NmMnfkXFLDU+XhRhuqn8EiVYSEEKI5ZAaLPIlrc26Xg6/2fc59K//ut+36EdeTV5XHF/u/AOD2sbezuXAzS7OWAvDHiX9kSdYSVueuBuDvk/+O2+tm+eHlPrlXAHQaHY9Nf4zHVz9OdlU2Bq2Bd854hxhzDLd+dys7S3xLJIcZwnjvrPdanHj2QNkBLv3iUqqcVT7tQ6OHcuWwK/nLir8AMD5+PI9Pf5xYS+flhOnueuPYzK7M5qqvrvKrlpEYmsj80+aTFJbk074qZxU3fXsTHm/9F9vpqdOZkDCBJ9Y+4Xf834//Pevz19eNMYDPz/ucP//0ZzYVbvLZ16w3M++0edz+w+0+U/3jLfE8MOUBbv3uVp/9M6KH88z0J4i3SpClp+uNY7O3sTtr+OrA19z/8/1+267NuJaimiJm9JnBf9f/lwPlB3y2R5oieffMd0ltEHAttZXy+pbXeW3ra37He3jqw2zI28CsfrO4d9m9asbcESNiR3Dx4Iv5689/9Xvf9SOuZ+7IuVS7qrn121vZVepbAjrcEM57Z70XsJpRT9ae4/PnPYVc/soqnr5kDAnW+hlCi7fk8P7qLHY8dHqbfp4QQnR3EuIXbS6/KptH1j4ZcNv8bfM5I/2MutevbH6FOQPn1L1+ceOLXDT4Ip/tAyMH+gVXANxeNy9vepmLh1wMgNPj5N+r/01uVa5fcAWg0lnJK5tfweZqflnnGlcNL216yS+4ArCjeAdOj5OkUHUDvDZ/rd+XTiGa4va4+XL/lwFLkeZW5fLtwW9pGAMvrCnkH7/8wye4AnDeoPN4fuPzAT/jxY0v+oyxWX1mkVme6RdcAfX7/vyG57lz3J0+7fnV+azOXc1xicf5tG8t3sbOkh1H+2sKIbqBvOo8Hl/7eMBtb217i/MHnU9OVU7A61ypvZT3dryH0+2sayu2FTNv27yAx3t8zeNcMvQSvjv4nU9wBeDSIZfy3/X/Dfi+N7a+QbGtmE0Fm/yCKwAVzgpe3/o6dpc92F9TtFBtmebGM1gMei02l4de+JxWCCGaJAEW0eZK7WWUO8oDbnN5XFQ4KupKzda4anB76rPQlzvK69ZegyovuyF/Q9DP2l683edJ1Zq8NQGDIbV+yPzBr8pKU8rt5QGDO7V+yf6FUbGj6l5/c/CbZh9biHJHuV9i2oa+OvCVz1iqcFRwsPyg335uj7uuVGpjjcfYlcOv5LuD3wX9zOWHlzMgckDA9rHxY/3aFx34Gq9HpokL0d2VOsqCXh9dXhcAK7JXBH3/twe/9SkTf7D8IG5v4CozxbZiatw1/Jz9s982s95MQU1BwPd5vB72lu7lh8wfgvbjh8wfAparF60TtEzzkde1ARghhBCKBFhEm2sYIAnEoDX4PIFvvL9Oo6v7s9PjxGKwBD2WVqNFQ31me4PW0OTaa7Pe3KK12RqNpsmkeSH6EJye+id2YYawoPsK0ZhOo2v690sX4jMeGv7Z5zjawO21Go4xm8uGRR98TIXoQwLeFJn1Zp/f9VphegsarVxKhOju9Jqmr906rQ6zLniy+BB9iM/19WgJZ/UafcB9jnY+M+vNdYm3A/ZDFyI5WNqQra5Mc6MqQkfKNtslD4sQQviQK5Boc5HGCNLCA69/thqtuL3uuqdhceY4KhwVddvTwtN8lkuYdCYyYjJ8gigNTU2ZWpevBeCM/mcQHRIdtG8XD764ye2NxYTE+CxZauzE1BNZlbuq7vVp/U5r9rGFsJqsXDHsiqDbrxx2JWHG+qBdpCmSiYkT/fardFQSZ44LeIzGY+zhVQ/7LNNr7Oz0s1mZvdKv/bR+pwV8anzewHODHksI0X1EGK1+5ZBrhRvCKbWXMqvvrKDvv2zoZT7X1+SwZL/qfrUGRA7A5XVxej///B0Hyw8yJGpIwPeZ9WbSrGmc28R555Ihl9RVRBPHri7JrTbwDBabK/AsJSGE6K0kwCLaXJw1lUdPeMivLLJeq+e+Sffx1ra3ABU8uXfSvczfNh9QX5zunnA3b257E1Bf6G4bexuf7f2M3437nf/nmOO4bOhlLNy7EIDk0GRuHXMrMeYYLh16qd/+Q6KGcO7Ac4/6dKwhnVbHBYMuYHDUYL9t5w08j92lu+uWJN086mYSQxObfWwhACYkTOCE5BP82mekzmB0/GifNqvJyv3H30+UKcqnfd7WeTw89WFMOt+yziadiX9O/WfdGAPIqszCrDdz1bCr/D6zv7U/lw27jBc3vujTPiV5MvHmOPaX7/dpv2rwxaSG+lc6EkJ0PynWPjx0wkN+M9z0Gj33HXcfr25+lQpHBWf2P9PvvWPixjAzbSYaTf3DkERzIg9PfdhvZkyoIZS/T/47T6x+goFRAxkTN8Zn+zvb3+GPE/9IuCHcp12n0fHoiY8Sa46ln7VfwIcfw2OGc2b6mTKDpQ3ZXR70Wg1abeAZLDanBFiEEKIhqSIk1RDahdvlJLsyi+8PfMP6ku0Mtvbn1PSz2FG8g28zv2VEzAhmps1kQ94GlmUvY0zcGGb0mcHK7JWsyl3FxISJTEmewg+ZP7C5aDPnDzyfeEs8n+39jJyqHGakzmBM3BgW7V/E3tK9zO47m3EJ4+oCHCW2EjIrMvlo10dUOas4O/1sMmIziLfEt+rvk1eVx9airXy+93PCjeGcN+g8tGh5Y+sbRJmiuGDwBaSGpxJhimjLf8Zep7eOzcKaQvaW7mXB7gVo0HDBoAsYEDkg6FPY7MpsVhxewfLs5fQJ68N5g84jwZxAsb2Yrw98zZaiLWTEZHBav9OwGqzk1uTy6e5PyanOYWLCRKalTkOv0ZNXk8cnuz+hwlHBrLRZjIobRbghnD2le1iwewFevJw/6HwGRg7E7axha+FmPj/4LeF6CxcOOo+0sFQiwySo2Bv01rHZ2ziddg5VHebbzO/YWrSVAREDmJ46nRXZKzDpTMxKm0WYMYysiiw+3PkhdredOQPnMDR6KHEW/1l0lY5Kcqpy+Hzv5xysOFh37V+etZxoSzQTEyei0+jYWbyTT/Z8gkln4sLBF9Lf2p9qVzVLDy3l19xfSbemc87Ac0gKTapbVlRiKyGz/Mh13lXFOQPOYXjM8FZf57uz9hyfLy/bx1Pf7eLVa3xnT+7Oq+CvC7fy9Z0nMiQxPMi7hRCi95EASzf+olhiKyGrIovP9nxGjauGsweczcDIgQG/5HQml9uBvsF6aZfH5ZMT4mivHW6Hz3rrhtu9Xi8er8d/Vkp1MZRm4c1ej8ftRBc/FGIHQrhvyduWcnvcKu/Lkad0jV+LY9NTxmZLFdUUkVWRxY7iHWjQMCx6GKnhqUSbm17O1nisHK3dZyzVlEBlHm6tCZdGg8lZA+YIsKoZKR6vB7ygbTQt3O12otXoJO9KL9Nbx2ZPU1JTwsGKg3y651OcHifnDDiHAZEDiDXH+u3rcNkwHglmOBxVGGtK4ZfnoSIXRlyAp88kMEf7nSOCaXj+cXvcftdtj8cDGvxmnwQ7n9Xyer14vd5m96Mnas/x+ewPu3nlp/28cOV4n/aDRVXc+/FmPvvtCYzuE9mmnymEEN1Z0xnNmvD999/z/fffk5+fry6KDbz22mvH3DHRtOKaYp7d8Cwf7vqwru3zfZ8zPn48j05/tEs9wdE3SkbX+IvS0V43TmbXcLtGo/FP/FldDMseg1+eRwPUbU0eC5e+U3cD2RqNvxC2ZLmREIEUVhfywMoHWHpoqU/7KX1P4U/H/SngjU+tYDcdwdrrgyulsOp/sPQRdDQYI/HD4YqPICJF3eQEiBvqdIYm/z5CiK6puKaYx9c8zuf7Pq9rW7h3IccnHc/DUx/2ezhTG1zBVoFx49vw1f/Vb9zyEdrodLj6M4gMnHOtsYbX8kDXzmABkqMlztdoNPKQox3ZnB4Mev//N3U5WGSJkBBC+GhVuP+BBx5g9uzZfP/99xQWFlJSUuLzI9rf/rL9PsGVWmvz1/JD5g/0wolJ9Yr3qadsjWWvh43vgUe+DIiuY23+Wr/gCqiSp5sLNrfPh5YdgqWP+Lfnb4NfXwK3f7UgIUT3trNkp09wpdYvOb+wPHt58DdW5vgGV2oV74MfHwVn4BLxomewu9wYdP4BrNocLDUSYBFCCB+tmsHy4osv8sYbb3DVVf5JEkX7c3qcvLvj3aDb397+Nqf0PaV3ZtH3emHtG8G3r34FxlwO4ZI3QnS+CkdFXdLnQN7c/iYTEyf6VBJqE5veD75t7etw3M3HNNNLCNG12Fw23t7+dtDtb297mxmpM4gKifLfuHNx8ANveh9m3AsRqW3QS9EV2V0eDDr/57GGuiS3UqZZCCEaatUMFofDwZQpU9q6L6KZPB4Plc7KoNurXdUqf0Jv5PWArSz4dkeV2keILsDlcVHtqg66vdpZjdvbDk8HjzpGevEMOCF6ILfHXVfxLpBqVxPnGnt5Ewd2gEeuqT2Z3empWw7UkOlIgMUuZZqFEMJHqwIsN954I++8805b90U0k0lv4qz0s4Jun9lnZu+tZqPVwaiLg28ffBqYIzusO0I0xWq0ckrfU4JuP63faYQb26E6Q8ac4NsGzYYQSWIqRE8SagzljP5nBN1+St9TiDAG+d4wKPg5ij7Hg0kqyPRkaolQgBkskoNFCCECavYSobvuuqvuzx6Ph5deeonvvvuOUaNGYTD4Jj188skn266HIqAJiRPoa+3LwfKDPu3hhnCuzrjaLzFsr5IyXiXrzN/m224MgxPvBoOlc/olRCM6rY5zBpzDezveo8hW5LMt3hLP7H6z/SpqtIn44ZA8HrLX+rbrQ2DWX+WGSYgeaFrqNFLCUjhcedinPdIUyUWDL8IQLIF1VH/oPwP2L/Vt1+rh9H+BJcCyItFjqCVC/jlYtBoNBp1GlggJIUQjzQ6wrF+/3uf1mDFjANiyZUubdkg0T2JoIi/Pfpl3t7/LJ3s+weF2cHLfk7lp1E2khKV0dvc6lzVZVUJZ8xqse0Ml4Bt8ulonHp3e2b0TwkdyWDJvnfEWb2x5gy/2f4EGDWcOOJNrh19Lclg75UEJT4RL34L1b8G6eWqM9D0BTvozxAxsn88UQnSqxNBEXjv1Nd7e/jaf7vkUt9fN7L6zmTtybtPfG8Li4fz/waYPYNULqsR7v2kw6+8QK+eLns7uDDyDBVSiW5nBIoQQvjTeXlhupry8nIiICMrKyrBau/dUeKfbSbGtGACryYpZb+7kHjWhNAuqCqEiRwVBLLEQ2URivIocqMiDmmKVQC80DswteFLmdkFVgcq5EhIJptBWd73aWU2RrYjsymyMOiOJlkTiLHFHLR8pWqYnjc2WsrvslNpLAYgKiWp6FlpNifrdLjukxkRYIliTWvR5bo+b/Op88qtyqHHVkByWQowljlBDC8dJTemRvmSpcRaeqMZ3VSFU5kNlrhq7YQnqRk10S715bPYoLgfOmiKKHeXghQhjOCHmKJVLpbIAyjLBFKHOJ+FJ0LD8sccDVfng8YLbrq7RHqcq0xwaD8bWzQ6tcdbUXV/1Wj2JoYnEmeOCz6gRftpzfF7+8i94vfC7WYP8tv327XVcM6Ufd5zsv00IIXqrVt0dXn/99fznP/8hPNx3GnlVVRW33347r732Wpt0ThydQWcgITShs7txdEV7YcENqlRyreSxcMFrEBNgVkn+dnjnEihtsARq6Nlw5uPNrwCk07f4pjOQElsJ7+x4h5c3vVyXBDDcEM4TM55gfML43r0cS7QZk95Egr4ZY7kiB778I2xfWN8WmQaXfwDxw5r1WU63k40FG7lz6Z2U2VXCW61GyzXDr+HaEdcSHRLdvE5X5MLXf4ItC+rbYgfDpe/Ap7+BQ7/WtyeOhEvegqh+zTu2EKJtOapg97cYPvsNCY4jCW91RjjlQQiJgE9vrd83PFGdUxJGgvbI7AWtVi0f3LsEPrkZHEeS7esMcPIDqkJfSx6CAOX2cj7b+xlPrn0Sl8cFgEVv4Z9T/8kJKSd07YdGvYTd5SHUqAu4zajXSplmIYRopFWL++fNm0dNTY1fe01NDfPnzz/mTokepixbfXHL9l1mRvZ6+PQWKDvcaP/D8OYc3+AKwI7P4acnwGlr1+42tjZvLS9ufNGnwkKFs4LffP8bcqpyOrQvopdz2eCnp3yDKwClmTD/XP+xFERudS43f3tzXXAFwOP18PrW11l+aHkz++KAlc/7BlcAhp8Li37vG1wByN0MH16rnpILITpeyQH46FoVaKnldsDie1WgJTSuvr0iF+adDeWHfI9RmgkfXFkfXAFwO1WgNWdji7u0vXg7j65+tC64Aqqi0V1L7+JwRfPOZ6J92ZxujHpZIiSEEM3VogBLeXk5ZWVleL1eKioqKC8vr/spKSnhyy+/JD5epoCLRmqKIGtV4G1Zq9QSoIaK96kvd4Gsmw+VeW3bvyYU1xTz/IbnA25zeVx8tf+rDuuLEFTkqZwpgVTmQdGeZh1madZSHB5HwG0vbHqBwurCox+kMg/WvOLfnjIeDvwU+D3Z66E5xxZCtC2XA1b9L3gJ9nXz/Svw2coge0P9a7cLVr8a/Bg/PqqWDDZThaOCFze+GHCbFy/v7XwPl9sVcLvoOA6XB33QHCwaKdMshBCNtGiJUGRkJBqNBo1Gw+DBg/22azQaHnjggTbrnOgh7BUt215yMPB+oJ7gu/xnT7UXp8fJocpDQbfvLN6Jx+tpn0ovQjTmsqmfYBrP+gpiV/GuoNuyK7NxeZtxU+Oy+T4Jr+UOHLipYytrersQou25bFC0O/j20oMwcJZ/e8OgrdsOhcHPHZQcaPr81IjNZWvy+rq/bD8OjwO9TnKddSab040xWIBFp6PGIQEWIYRoqEVXrSVLluD1epk5cyYLFiwgOrp+nb7RaKRv374kJ7dT1QvRfZmjVKK8QE+9NBqVGLOhOP/gXR2TFVqahPMYmHQmBkUOYlPhpoDbxyeMl+CK6DgGixoD9vLA22OHNOsw4xLG8eneTwNuGxg5sHl5hQxmNbZrSnzbdUbQaFVy6UAszczvIoRoOwaLKs1+8OfA2+OHqQBJY0mj6v+sD4HUCbD/x8DHSBwBxuZfny16C0Mih5BbFXjG6qi4UZh0pmYfT7QPVaY58Pccg17KNAshRGMtujOcPn06M2bMYP/+/cyZM4fp06fX/UyePFmCKyIwcwwMOSPwtsFnqGpCDUWmqUSZgZxwR/OT3LaByJBI7hh/R8BtoYZQZvSZ0WF9EYLwRJh6Z+BtsYMgqm+zDnNc0nFYjYErTdw57s7mJbkNT4IT7/Fv37cEhp0T+D2DZoMlLvA2IUT70elh/LUqANqYRgPjrobNH/m2W1MgrkHibK0OxlyhAi2BjjH9XpUEt5lCjaHcMuYWNGj8tpl0JuYMnINOGzi5qug4dpcneA4WnSS5FUKIxpodYNm0aVPdT1lZGZs3b/Zpa/gjhI/weDj1Eci4QD3ZBvXfjPPgtEfUdp/9E+GKj6DftPo2fQhM/QOMu0ZVLOhAw6KH8ci0R4gwRdS19Y/oz+unvk5ymAQVRQfSGWDs1TDtbt+bnH5T4YoFzQ4+JoUm8cZpbzAwcmBdm9Vo5YEpDzA6bnTz+qLVwahLYMZ9ajZLrdytcMoD6kas9uZIo4Xh58HZ/wFLy6qMCCHaSFQaXPM5RDYIxIYlwKXvqhwtDRK5kzJB7RuR4nuMyL5wzSKI6t/gGPFwydtNzz4NIj0inf+c9B9iQmLq2lLDU3ll9iukhKY08U7RUewuN0adfxAMwKiXJUJCCNGYxusNlq3Ml1arRaPR4PV60WgCn2hrud3NO9kuW7aMxx57jLVr15KTk8Mnn3zCnDlzgu6/dOlSTjrpJL/27du3M3To0GZ9JqhkvREREZSVlWG1Bn6K22tV5qvqABodhMb6T/etyFV5F3QGVXHA0EQJRY9HlZR12UBvwq23UOAowe5xYNKaiDNGoQttcLPlcqjEmW4HGMw4DBYK7cU4PU7MWhPxlniVINPtVP0yWaGqADwuMIb7B2rslWp/r0ftG9popkxNaf3yhpDIJm/8XB4XhTWFlNpL0Wv0RIVEEWOOCbq/aJ3uODZdLjsFVTk43E5MOgNxYSnoWhMErCmpTxBpjgJzZBMfalMJb22lauq/JRYsUbhdDgqqcrC77Zh0JuJCk9DpjeCyq7Htdqj9j5QvL6o4TKmjHKfbSYTRSpw1Fb1Wr8Z5ba6UkIj6wE1lATgq1PnBEgOmMHDaoSoXasrAEHKkL9HqPFGZr5YzGcPUTVgLnm6LrqU7js1eyeNW4/fIdZewRDV7paHi/Wp8ez1qfJsiVHDFWQWOajXLxRKtrpnOGig/DG4XNaYwirXqe6BRo8XhqsHjdROutxAVllxfzrmlXfZ6KKguoMRegk6jI9IUSZzMdGuR9hqfXq+X9Pu+5Iap/Zk1LMFv+8s/7aOgws7nt09ts88UQojurtk5WPbv31/35/Xr13P33Xdzzz33MHnyZABWrlzJE088waOPPtrsD6+qqmL06NFcd911XHDBBc1+386dO30uIHFxciE+Zo4qVS3gyz9A/nb15HnYuXDy39WyA1sZHFiuSjGWHFBf3EZdBjP+qKYRN1ZVCFs+hmX/hupiim5awsK8lby6423K7GVEmCK4YeiVnDPgXGLCk9QXwl9egNUvg85E/txveG3rKyzY+zk2t43E0ER+P/o3nOA1EfHJb+CiN2DDO7D1YxVwiRkIpz8KfY5TN33F++HrP8Our9SXyMRRcOaTkDhSfXks3AVf3l1f7SRtCpzxGMQN9f8yCui1ehJDE0kM7bjlSaLrK6rM4eNdC3hj57uUO8qJNEUyd9jVnDXgLKLDkpp3EI8bCnbAl/fAwRWqrd9UOONxlVMl0E2LPuTIcqD6J9FFFTks3PsZr+54izJ7GVajlRuHXcU56WcSs/xZWD9P3SxFpMJp/4b4ocR893didn6p+hA/DM76jwpefvXH+r6kHa/215nh4+shb4uakTL0TJj9EET1U0+1Ixv10RgK0f0RQnSQqgLYvACWPQrVRSp4Mvk2tTQoLB6cTijepa7j+5aq96ROgLP/q66J3/0dSvara+Toy2DqXbDuTdj8PjlznuHZ7V+xrXQPf5jwB+Zvm88v2b/gxcvI2JH85fi/MChyEIZWBJe1Gi0JoQkkhPrfwIvO5XR78ULQHCxGnZRpFkKIxpo9g6WhSZMm8fe//50zzvDNq/Hll19y//33s3bt2pZ3RKNp9gyWkpISIiMjW/wZteRJXACH1sCrJ/snoo3sC9d9BTkb4L3L/d+XNAau+EBNM67ltMOKp2DpIwBUn/NfnrNnMn/X+35vv3LwJdw+6iYsn/8ediwCoPj6r/jj1pdZlb/Gb/9/Hnc/Z1nS0C68PXA1g2sWQlS6+rs0LvWs1cFNP6rZLC9O9U8UarDALcshZoD/cUWH6E5js6qmhKfWPcX7ez7x23bjsKu5efTNhJia8Xco3qd+HxtX5DGFw80/NStIUV1TwnMbnmf+rvf8tl056CJuLyrEsrZBeecLX1c3Uw2rDmm0amneh9f4V/YyhsIN38LLM32rhFhT4IZvVNBG9GjdaWz2Sk4bLH8Sfvy3/7axV8Op/1QzRF89xTcxdfwwFYT57Lf+70scCRNuIN9k5qY977C3fD/Pz3qePy3/E6X2Up9dDVoDH539EemR6W379xLN0l7js8LmZOTfv+GOWYM4Pt1/1u67v2ayPrOEn/5vZpt9phBCdHetms+5efNm+vf3/9Lfv39/tm3bdsydOpqxY8eSlJTErFmzWLJkSbt/Xo9XXQLf/CVwlZ/Sgyr48ssLgd+bs8G/8kBlLqx4uu5lUdpE3tm9IODb39u9gCJHRV1wBZOVfGNIwOAKwJMbn6cgLCZ4qchfX1ZP5hoHV0A9pf/hIcjZFLgKi7MaVr2kllMIcRRFtmI+3PtZwG3zdr5LYU3h0Q/icsCvrwQud2yvgHXz1Qyto/XFXsI7uz8KuO29PZ9QNPzs+oao/urpduOSzgNPht1fBy6r7qiC1a/C9P/zbS8/HLwqiRCi41Tm+Vx3fWx4U83k3PyRf9Wv8dfBT08Efl/uZgiNYa/RxN7y/YyNH8vGgo1+wRUAp8fJK1teocZVc0x/DdG11FYI0gfJwWLSS5JbIYRorFUBlmHDhvHQQw9hs9U/ybTb7Tz00EMMGzasiXcem6SkJF566SUWLFjAxx9/zJAhQ5g1axbLli1r8n12u53y8nKfH9GAsxqyVgXfvuc7tewmmKxffV/XlKilCEeUOMpxeV0B3+ryuiixFdc3JI9le3HwIF2RrYjKhk/QG9OHwK7FwbdnrvRN5NfY/qWBbzBFu+jOY7PYVoQnSClip8cZ8CbEj71cVd0JZt+SZv0+ltiKmx5j3gZBmvihcGi1/44JGf5juaHMlWqfxnZ+GTg4K7q17jw2e6Wa4uAPB7zeI8t8A3xXCk9Us+iCqSrk15IdAAyKGsSG/A1Bd12du5pKR2ULOi1aq6PGp92lvi8Zgy0R0muxS5lmIYTw0ewcLA29+OKLnH322fTp04fRo1XFiY0bN6LRaFi0aFGbdrChIUOGMGTIkLrXkydPJisri8cff5wTTzwx6PseeeQRHnjggXbrV7en0apkdpX5gbdHJENZZvD3N65c0ijxbYjO1OTHhzSshlKZS6w5eE4dnUaHMVCZyVoeJ1ibqOxjiWk6wBIaF7iMpWgX3XlsmvVNJHgGQnQBSpk2pjOp37lgQuNUvqOjONpnhWgb5EWwlUN0gGVwtnL/RNA+fYlVCbAbi+ijSrSKHqU7j81e6SjnIwzmwOcaj1s9mAj24EJvJkGnEsBXOiqJNgcv4R5tilZJskW766jxWTuDJWiZZpnBIoQQflo1g2XSpEns37+ff/7zn4waNYqRI0fy8MMPs3//fiZNmtTWfWzS8ccfz+7du5vc57777qOsrKzuJysrq4N6102ExcPxtwXeptFAxvkqr0kgehOkTvRts8RC8ri6l9FOO/0jAueR6G/tT7TBqgIfAAU7GRCeRqghNOD+s1KnE+3V1Jd/bSx6oCrlHMyU3wW+uax1wp0QIvkFOkp3HpvRpihSwwPnHhkcNZhoU+TRDxISDifcEXz7lN/5V/IK2JfIpsdY8YH6hqxfIH26f1Bk+0IYeVHwD5l0M6z4j3/7mAC5mUS3153HZq8UGqtyogUSmQYeDUyc679txyIYEaTIgM4IliimRA5Gp9Hx46EfOaXvKUG7cP3I64kKkTLsHaGjxmftDJZgSW5Nei0ujxenW2axCCFErdbV1AMsFgs33XQTTz75JE899RRz584lNPToNwJtbf369SQlNV2tw2QyYbVafX5EA1odjL4EBjb64qTRwnn/g4gUOPFu/y9vehNc9j6EN5oxEhoDF7xSl/gy9sv7eHrqI8SE+CZIiwmJ4enpjxFr7QNXfKiSzwLxy//L89Of9JshMDBiAH8YcxuhPz4KZz4FjZ+UpU2GiTeqxLxnPuV/Azn8PFX5JDINpt3t/+9w3K2QPMa/XbSb7jw246ypPHPik0SH+D7RjTPH8fjUR4huPC6CSR4DkwMkmJz6+8BLcgKItaby9ImPBR5j0/5F7Mr/1Td63LD3Rzj3eTXGa1UVqJwwJ9zp/wETb1TlXnM21rdptHDOs2oGi+hxuvPY7JVCY+HCV/2r+lmi4bL3wBqnro3T7vHdvn0hjLsaUib4tuuMcPF8WPMG8Stf5KmJf8busrMhfwM3jrzR7+PPG3geExIm+LWL9tFR47NuBkvQKkK6I/vJLBYhhKjV7CpCCxcu5PTTT8dgMLBw4cIm9z3nnHOa9eGVlZXs2bMHUIlrn3zySU466SSio6NJS0vjvvvu4/Dhw8yfPx+Ap59+mn79+pGRkYHD4eCtt97iX//6FwsWLOD8889v1mdCL6+G4PWqtdoaLZgbPWmqKoSyQ6ocszkK+k5WN1VGi9pemacS2mb9qpYFpU5UwRV9kCU15dmq/GzuZuhzPDnWBPaU7mFP6W4GRg5iUNRgIoxWbI4KLCYrJlsF5KyH4n24BswiL8TClsItZFceZlTcaNLCUojL3QZFe6D/dNWvQ2vUjWHaFFW2VmcAt0t9OazKV2WY7RXQf4ZaOqTVqmR/WiNU5MD+H9Xr9BlqJo/XC2jAIk/hOkN3HJs5ZQfZXbKTvaV7GRw1mAGRg0iMSGvZQWpK1fja96MKDPY/UY2xkAjcHjfljnL0Gj3hpvD697jsYK9Ugc4jOZJyyg6yp3Qve8r2MDBiIAMjB5AUlqKS0R5eC6WZatzGDFABSluFWv7nPrK0zhiqlgtUFx4ZG141dkJj1P7lh2H/MhUM7TcNwuPB2ER+JtFjdMex2WNVlwBedZ1u/CCh7DAU7IS8zarMe0KGetih0UBlgcq55qiEvT+AxwVDzwKNTp1PXDY1vsMToM9xamw7qyF7IzZXNQWpY9hQvIMwUwQpYSmsz1+P0+PkuKTjiDPHERkS2azuVzoqcXqchBvC0etkSVFbaK/x+fPeQi5/eRVPXzKGBKv/UtR1B0t47Jud/PrnWcSHN2NZrBBC9ALNvrLNmTOH3Nxc4uPjmyylrNFocLubF8les2YNJ510Ut3ru+66C4BrrrmGN954g5ycHDIz63N/OBwO7r77bg4fPozZbCYjI4MvvvjCr1y0CKLsEGxbCJveB50eJt4E6SdC+JEZQKGx6ifYLI6wBPXT57jmfZ41Wf0MUOX7koCkyH5M42QqK/M5UHmIf699gszKQwyNGMi1GdeQ1m8qpmFnowdSgJTGJR8j+vq+jhmo/luZD5mr4JdnVUBl6Jkw9GxVbai6GNKOh93fwJpXVABm1CUw/ByYdGTKdNlhVWFhw9vqi+j462HgrKbzuQgBJEX0JSmiL8GzQDWDOVL9xA3xaT5ceZjP937Odwe/I9QQytUZVzM6dhSx1WXw6/9UBZ/wRDXbJXYISTXlJG1exLSaEjBvVxVCdGY19nd/p26gaooh7GoVhMxeC6tfUTdcA2fD2MtBEwqH1qqAjFejcjcMOlXdjO1dqmax6HQQEgHGyRJgEaKjlGfDnh9g7WvqwcCYK2DIGWqWaa2IFPUzsEHZ3NIsyF4Hv76kkt2mz1Kz5tx22PoxbFmgArVjrlTXSo0Glv4L8rao5cHT7iQkZhB9Qqz0iRlad9jB0YNb1P1iWzHbirbxxpY3KLGXMDVlKhcOvpCUsBS0mlZPqBbtqDaBbdAlQgbVbnPIEiEhhKjV7BksPUmvfBJXdgjeOAtK9vu2p02Gi16vD7J0AIetjK8PfsuffvFN0KbT6Hhu+pNMSZ2ORhckx0oglQXw1R/VF8WGQmPh/JehPAfWveFfISWqP1y7CNDAm3P8Sz8nj4VL35EgSwfqlWMziKyKLK768iqKbEU+7bPTTubPlsFEf3VvfWPaZJhwPXxyk29FH40GznsJ1r7uW075mkWw6sX68ui1QuPgms/htdPAVlrfHjcMTv4bvHup7/6DT4dznlGzv0SPJmOzk5XnwHuXQfZ63/bYQXDVZ75BlobKDsO3f4MtH9a3abRw5QJYeLv6btBQ+gwYPgcW3enbfu7zKleLoXWzFMrsZTy74Vne2/GeT3uYIYy3zniLAZFN5EYTR9Ve43PxlhxueWsdL181gbAQ/2eye/IruP+zrSy+cxpDE+W8IIQQ0MocLNXV1W3dD9Ge3G7Y8I5/cAVU6dXD6zq0O4W2Yh5c/W+/drfXzf2rHiK/soXJ2koO+AdXQC152vW1uskMVH62ZL/6d8la7R9cAfVF9sDylvVFiDZgc9l4adNLfsEVgG8yvyMzuo+aQVJr0lz48h7/csler2qf2CBnQkQf9fS7cXAF1HK75U/CrL/6thdsV0+zGySvBmDXV2rJnhCifR34yT+4AlC4W+VRCfasrPywb3AFYPCpsOML/+AKwL6laqlt44cuX/5BLbttpbyqPL/gCkCls5LHVz9OhePo5ehFx6vNwWLQB64UZ9Srh2E1DsnBIoQQtVoVYImMjGTKlCn86U9/4uuvv6aqqqqt+yXaUk0hbHw3+PY1r4GzpsO6k1uVi80duCRkQU0Bpfaylh1w84fBt7kdgYMvtTa8A0193to3VJ4KITpQmb2MxfsXB92+KG+V71I9rcF3xklDtlK1vdaYy5oeE9sWQsp4//bti3yXHdRa92bwYwkhjp2tHNbNC759/ZtQ7R+MBdR4bmzATBVgCWbXYug/zbfNWaOWGrXS8sPBH1asyF5BuaO81ccW7ac5VYRAAixCCNFQqwIsP/74I+eccw7r1q3joosuIioqiuOPP557772Xr776qq37KNqbRgMEfjrRPh93lM9q07XYR/uso/zdNZqO/KcRok5T40TT0l9Kv2Md5Xe+LdqFEG3jqGOsFeO5tcdrpaNe90WXZHN6MOg0aIP8/zPWBlikipAQQtRp1Z3s5MmTuffee1m8eDElJSUsW7aMoUOH8sQTT3DWWWe1dR/FsbLEqmR4wUy4vtXrqlsjwZLgV4K5VrwlnihDC9fxjro4+DadUa0bD2bMFSq5aDDjr4OGlVuE6ACRpkhO73d60O1nJR4HWavqGzxO/6pgtcxRaiZXrQ3vwogmqq4Nn6OqczU29CzY871/+9grgx9LCHHsTOHqWhTMuKvAEhN427AAVR33fA/DmviuNuQ0VU2oIYMZIltfkn1qytQmt0UYI4JuF53H5nTXBVECqZ3BUi0zWIQQok6rpwrs2LGDF198kSuvvJLzzjuPRYsWcfbZZ/Pkk0+2Zf9EW9DqYPSlEJ3uv63vCf55FdpZbEg0f534f37tOo2Ofxz3F+LCU1t2wKh+MOJC//bQOBg8GzxuVRmhseh09e+SOt6vegug/l36ntCyvgjRBkx6E3NHzSUmxP+m6bS+s+lTeEBVA6n160twxuP+T6s1GjjjMbW9VtmRaf6BbrzC4uGEO+CHf/i2x2dA/HD/HBBDzqqv5CWEaD99T4CUCf7tcUNUxbxgM0QiUlTVvIZ2f3Ok+lCAgEn6SeC0QUWub/uZT0Fo65NZx1viuWKY/4OecEM4d0+4mzCpRtYl2ZweTE0UHQipzcEiM1iEEKJOq6oIJSYm4nQ6mTlzJjNmzODEE09k5MiR7dG/dtFrqyGUHYKdX8HGd1ROhkk3Qb8TOrSCUK2qynwOVB3mjW1vcqAyi+GRg7hq+FX0CU3CFBLZ8gNW5qtkvSuPlGkedhYMPgOWP6GqKMz+h0qGu+ZVcDlUHoohZ9ZXXig7DHu+hXXzVUBqwg3Q/0SpINTBeu3YDOJw5WG+2v8V3x74FovBwjUZ1zAyJoOYmjI1E6UsC/QhKlAYOwgq8lROFFsJhESpJ9th8SoRbeFusERDeR4MnKFmdx1eC6tfVWNm0Kkw+hIwRcCeb1RuJrww9hpVshwvbF4A2z4BgwWO/w2kToTwhE7+VxIdQcZmF1CeA/t/VNcxj1tdpwafDqHRTb+vMh+yN8C2T1W59aj+MOZS0Ohh++ew+QN1Hhl7JVhTQadXedtyNkHMAJhyB8QOPObZnCW2EnYU7+CNrW9QYlNlms8fdD4pYSmyhOgYtdf4fHTxDhasO8TTl4wNus/Vr63iL2cO55op/drsc4UQojtrVYBlzJgxbN++nTFjxjBjxgxmzJjBtGnTCAvrHk8gevUXRa8XakpVnhPzUabklmaqpHYHloE1RT1BKzsEB1dA7BBVxrhkn6rQE9EH0o6D8GQwNeP3wOuFsmxszkpsbhtmQzgmgNxNULxPHTuqn6pcUrhb3chFpKon6CUHVFna6PT6mztHFVQVQekBFUCJSFUzWHQG9YUyJBK0WqgpUxVUzJGBn/hVl6j2ppYNiXbTY8amoxrKsyHzZzVman9fo/oG3r+mRD0x3rtE/f6lnwThiWCOxO1xU+GsQK/R1z/lrciBwj1w6MjY63Nk7JVlQv5WyNsGCcPVzJPQBKjMhsxVKiDTZxJED1BPo2uKoHg/uJ1HxkyMGjegzhN4fZceeTxHkubqIaQb//8RLdZjxmZXVnYI8raqn7ihkDhSjcvG16qaUjWDrTIPDq5UMzTddsj8RT00SBwFxQfV+aZgh6qYlzIOzNHqep08Vl0HPS6wxEHFIRVsiR2s2o0WMIaCo1ItDTJY2vSvWeWswul2EmYMQ6/1L/0rWq69xueDn2/j2225PHrh6KD7zJ2/ht+eNJBbZ0ipbSGEAGjVlW3Dhg2UlpaybNkyfvzxR+6//362bt3KqFGjOOmkk/jXv/7V1v0UbUWjAUuQXA0NlRyEBTeqGzidES55Ez68VgVAQuPgmkXw3qVQsLP+PQYzXPoupB4HpqN8IcvbAvPOJqSmhJCEEXDSffDJLepJeq2ofnDWU7DiP+qmLnYwnPYI/PS4CqgkjVafFxKhSs5+eqv6clhrwEyY84K6Ua11tKBSc/5thGiKvVoFVt6/HFz2+vb44XDpOxDd33f/qkJY9jisesG3fcrv4IQ70YXGEGmKrG8vzYK3L/AdezED4cLX4K0LVKnlWqFxcMVHaiwX7a5vjx2sxs7rZ0BVXn37gJNhznN1wR0/Wq2aBSOEaFsFu2DeWSpoUssSDdd8oYKlDdnK4Ks/wr4lcPGbqoRy7ub67TojXDwfvn9QzUarFZ2ulhK+c5EKvp50H7w42fe6edq/YPTloDepn3YQaggFw9H3E53P5mo6BwtAiEFLjcPVQT0SQoiur9U5WCIjIznnnHP485//zJ/+9Ccuvvhi1q1bx2OPPdaW/ROdwVENv7yggisAGefBlo9VcAVg9kMqR0PDGzxQZRzfvxIqDjd9/PJseOcS9dQeYOrvYeHtvsEVUDNVlj+lkvACFO5SyxlGX6Ze52yEH/+tblA/vcX3SyLA3h/UMgqPrA0WHajiMHxwpW9wBSB/G3z/DzVLqqGcjf7BFYCfn1GzURqyV8I3f/Efe5NuggU3+AZXQL1ecANMmuvbXrgLvvsbzH7Qt33vd7DxPRkzQnSkynz48Brf4ApAdTG8d5l/PpQdX6hSyhnnw+YPfYMroJJaf3gNTGyUGLd4H/z8Xxh3jQoC7/gCBp7su8/ie6H0YNv8vUS3Z3O6g5ZormXS6yTJrRBCNNCqAMsnn3zCHXfcwejRo4mPj+fWW2+lqqqKp556ik2bNrV1H0VHq8iF9W/Wvx5yhlq7XSt+GOz8MvB7HZXqRrIplXlQfiQIYwxV/60uDrzv/mXQZ2L9612LIX1G/etN76njBVvp9stz6surEB0le4MKNgay/TOoLqx/batQM7SCWfGMmq1Vq6oQdnzuv19EqlpKF0jRHrW9sV1fqbHcmIwZITpWVWHw62bJAahsEDgt2gerX1Z/HnwabPss8PtcdvXeqH6+7fuXquW8oPKsBKqyt+Y1CbIKAOxOD8ajBFhCDFqqJcmtEELUadUSoZtvvpkTTzyRuXPnMmPGDEaMGNHW/RKdyetWgZJaGo3v03iXw3+2SENHuzlrOFPFYKmfyRKM29mgbx7fL34uu/9MgYaqi5ruqxBtrTI3+DaPy/f31W33n3XSUHWh2r82EOm2B77xaThGAgm03eMO3F5VKGNGiI7ksjW93Vnd4IVHjVFQ1+aGJdgbqy4CU6N8HF4vuI8s57CVqaW9jVXkqPODNnj1GNE71DjdGI6yRMio11JtlyVCQghRq1UzWPLz8/noo4+47bbbmgyu/Otf/6K0tLS1fROdxWBWyfVqVeb7lnjWaHzzmjSWHDzbPKAS5tYm7asugsi04PuGRKqb0lphCb7Bn6j+TSfbTJusEvYJ0VFSJwbfFpFaHywBlT9owMzg+w+Y5XuDZAoPPPb0JpV4NhCtHgwh/u3BxnDaFBkzQnQkS7TKmxKIVgdhcfWvjeEqqS2o4GzjGSoNJYxQCW4bMkeB50hgNWlM4JlvQ84AfZD+iF7F5nQffQaLLBESQggfrc7B0hwPP/wwxcVBln6IrisiFU5ukJth7esw9a761+vmw0l/DvzeftNUWdimhMbCmKvUn70eOLRaTXUOZMptsP7t+tdTfw/r5tW/Pu1hVWY6qr//ezVaOOVB3yooQrQ3awr0OT7wtll/801yqzPAxBugtjpQQyarKpuqaxA4CU+CU/7hv++ORTD+Ov92UO3bF/m3z/izGssNabQqL4uMGSE6TmiCSmodyIQbVMWvWuEJMOM+FThd0+ja3FDKeDXTpXFusym/g/VvqYccU+/0vZ6CeojRVNBX9Co1zqMnuTXqtVRJklshhKjTrgGWVlSAFl1F0ii4/EOIG6JKRmZvgPNfUTNZ1s1TT97Pe6l+9okxFCbeBOc+1/SMFFDvnXU/zLxfzVBZ8TSMuRxOuEM9oQewJsOZTwAa2Ps9RPZVx67IU2Umo9Phsveh71T1hfOahTDy4vqn+Akj4NovVOUWITpSZB84/yWVnLl2+n1Uf7jwdUifHmD/vnDDt9D/xPq29JNUW2Sjss4aDQw6BS6aV7/NYAFTBEy5XQVwLDGq3RINs/6q2vUNSq1G9oXz/gfpJ6pcMT5j5kuIC5CXRQjRfoxmOP4WOO3f6gEEqCDnyQ/CifeAqVEANipdXfN0BpUk+5xn62eZ6kNg7FVw7rNQmtngmpqiKgQ5q1WetQvnqWBK7edptDD0LLh+sTqHCUHzktyGGHRU2WUGixBC1NJ42zEKEh4ezsaNG0lPTz/6zh2ovLyciIgIysrKsFqbWF7S27kcUJapqp7oQ1Qgw1GtvqDpDBCWCFX5av241gAhUWAvg5pi9UTeEqPeE0x1iXq/vUIt8wlLAnspuJxqSYMlRi1PcjvVkgVzlHrtcYIh1P/Yjiq15MjjUl8qQ+MCfqzounrU2HRUqhsZt1MFWpqayg9QU6rKkYMKPJojwWlTCaGri0FvAHOMuvlx2lQ1Lme1WlpgiYXQaKgpU0mf3Xa1bCg0EcxWqCqBmkKVr0EfAjED1OeU5xzJ8+JQAZmIVDW2hWikR43NrsrjgcoccB4Zv2GJoGuUB6U8R13njKEqT4qtVF1vdUbwONR/NTpVcSwk/EjeJ4c6ntetzjPmKHUN9ThAo1fnC51RnR9sZUeuv3EQGtMZ/wqiFdprfJ70+FKGJ1m58vi+Qfd54+cD7C+s5JvfB3iAIIQQvVCrktyKXqC6WFUYWPLP+iomiSPhglchYbiqavDTE7Dq+fqknWmT1dO2T25Wa8PTZ8BZT/nmb6lVdhi+vFtVMvF61TrzUZepmS0xDZ6eNX6S1tSTNWOob34LITqTMQxiBjZ/f3Ok+qlVkQvbF6rSzvZy1RY3BOb8T5VpXvQ737F37nOw4r+wfp5aeqfRwvDz4NSH1Iyw0AbLfrxeVbXko+vqSz6brGr5Uca5skRIiM6g1aqZJoG47HDoV/j4ZrWkNnYQ/Pjv+iTxsYPhsndh2eOqup7HrWa8DTlTLZVdcCMcXqP2NYapGaSjLlaB1apCNTN12WP1FdCSx8EFL7fsHCZ6HFszlgiFGLSSg0UIIRpo1yVCohvb8x18/SffErG5m+GNM6E8V30ZW/GUb0WUzJWw+P/UsgSAfUvhw2uhNMv32FVF8MktqtRz7QQqjxs2vAXfP6ievAnR2x1aA1/eUx9cARUMefNcSBzhP/beuRhSx9VXAPJ6YOsCdYyaMt9jl2XB62fUB1dAfc6iO9QSPCFE11J6EN48D/BC3ymw+F7fCnz9T4QlD8OGt+srjXm9Kj/Tojth8Oz6fR2V6lq9b6maNbN9obr2Niwvn70O5p2tHoaIXsverACLjiqpIiSEEHUkwCL8VeTCDwESaYKamVKVByv+E3h74W41i6R23XfORv+ytVUFcGBZ4Pdveq/psrVC9AZlWbD04cDbbGVwYDkMn+PbXrTHd+zV2rHIf0ztW1q/HKmx7/6uZqgJIboGtxNWvaz+O+ZyWPWi/z4DZ8HWTwK/f/8yVTGose8fVMuAlz4S+H3l2ZC/vdXdFt1fjdMjVYSEEKKF2jXAMm3aNMxmc3t+hGgPLrtKjheMrdz3qXpjJQd8858UH/DdXpUf/L0et7qBFKI3c7uavrHJXg9Jo/3bSw4EruLVOJiSuSr4sQt2qFwMQoiuwVEFOevVn6P6+c48q+Vy1M9eC8RW6l8KumS/OtdUNnFNzt3U0t6KHsLr9WJzujE1Y4mQ3eXB5W7i908IIXqRZudgKS9v4oa6kdoEW19++WXLeyQ6n86gbtKCfekyhalEmS5b4O3WFJXDpVZEqu92SxOJ8zQa/4oJQvQ2Gq26kSreF3h77GA1Y6Uxa7Lv2KvVeFZLQkbwz47qV19ZSAjR+QxmiBkEh1arGaZRfdWS3Yb0pqaPYbL6B07DE1X+s5DI4DPaYge1tteim3O4PXjhqEuEzAaViLnK7ibCIhPjhRCi2WfCyMhIoqKimvyp3Ud0c2GJMPUPgbcZwyA0HsZfF3h7eJIKktR+WYtOV20NhcaphLmBDJqtqhcI0ZtF9YWpdwXepjepfAob3vZtD09UgZmGeRlAJcCtLcVaa8jpKkgayPT/a7r6lxCiY+lNMPk36tq64R2YcIP/Ppm/qGVCgSSNDhyQnXYPWPvAlNsCvy8kMvBMOdEr2BxqRkpzcrAAVDokD4sQQkALZrAsWbKkPfshuhKtFkZcAMV7YPWr9dOOwxLgsvfUjdzUO9WTtG0N1nxH9YczH4cv7lavYwfDxW9CdD/f44fFwyVvwXtXQN6W+va+U+HMp8Ac0Z5/OyG6hwEzYfJtsOqF+qSVlmi48A04tM5336h+cOk7sPRfvu0p4+H8l/1njVlT4apP4f3L62e8aHUw5Q4YeHI7/GWEEMckOh0ufB0++61aZnvCHfDL8yovC8CmD+DqT8H5ezi4ov59iaPUOeD9q+rbNFo47mYYfi7o9TDuaijJhA1v1ieetybDZe9DRBOV+0SPVuNU152jLREyG2tnsEiARQghADReb+3VtPcoLy8nIiKCsrKyuuVMPZazBqpLQIO6OQv21DoQWwVU5qmEm8Yw9YXLGKYqEGh1oDNBdaFKhGeOqp+CXHJA3dCFxqon8cFU5h9JmluogjdhcU0vHxI9Xq8Ym27nkaSzXjBF1C+Js5VDdZH6syUWQsJVxa3qIpUTyWhRs8si+oCzSh2jPFuVdg5LUIHPqgL1U1mgxlNonG8+pIY8bqjIUYFSZ41ayhcaJ0v0REC9Ymweq8oCdQ3UGdX4aytut0ouj0YtzS3PBlMoGCxq/OrNYE1S5wd7mepHZZ66BofGqfNJRY5KOO+oUmPdEqfOMbVsZepaXH5YLSkMS6ifkSq6vPYYnwcKq5jx+FLuP3MYw5ODP/jKKq7mjws2seDWKYzvK7PYhRDimBbaV1dXk5mZicPhu6531KhRx9Qp0UaK98NPT6pSrRotjLxYPfVqKuhRy2mD0gOqokjWryqwMuF6SB0PH1yjbsIm3wYjLoT0Rmu04wY3r39h8YETcgrRU5UdhjWvw9pX1Y3OoNlw8oNqlthPT6hyqQAZc2Dq7yFmIITG+I8pfaQKrDTOj1AbUGnOsNLq1I1W4xxJQoiWqS5WpdJ/+IeqpBczEGber8opW6KP7djlObD+Tfj1JRUESZ8Bx92iKvmFxsGJ9/jOErXEqJ/4ob7HiUhRP8GERKifmAHH1l/RY9TNYDmyBCiYEIPMYBFCiIZaFWApKCjguuuu46uvvgq43e2Wcm2drvQgvHqKb3nWNa/Czi/hhm8h8ijTfgu2wysng+fIBdNeDksegrTjYdb98OU98PWfVPnHc5/zz/EghPBVngPvXOy7LG7HIhh/LXxyi+9YXf8W7PkOrv1SbniE6Mqcdtj4rroe1irYAe9fAac8BJNuVElqW6MiVy3tOby6vm33N6rM+iVvwae3wK6vYO4PapmgEG2otvTy0co01y4RqpQAixBCAK0s03znnXdSUlLCL7/8gtlsZvHixcybN49BgwaxcOHCtu6jaCm3G9a/7XvDVqsiB7Z9Cp4myulVF8NX99YHVxrK/OXI8oVI9XrXYjWlWAjRtJyNvsEVgPSTYO+SIGM1F7YsUONZCNE1VeWpmSuBLHmo6RLIR1O4yze4UsvtUPlXxlyplhCue7M+F4sQbcTW3BwstUlubRJgEUIIaGWA5YcffuCpp55i4sSJaLVa+vbty5VXXsmjjz7KI4880tZ9FC1lK4HtnwffvvUTtU47GEclZP0SfHvmSt8yr/t/ankfhehttnzk35Y6QT2NDmbnVyqhpRCia6oqUDmMAnHZAgdPm2v7ouDb9v+okliDWlpYU9r6zxEigJraGSxHCbDotBpCDFrKbRLkE0IIaGWApaqqivh4tcg/OjqaggL1BWLkyJGsW7euqbeKjqDVgTE0+HZjGGibWh2mUWUhgzGFqy+OtUKk6o8QR2UOkPzPaTvKWA0FnaH9+iSEODZHG586Y+uP3dS11RAKbrv6sylMXfeFaEO1OVhCjpKDBcBi1FMhM1iEEAJoZYBlyJAh7Ny5E4AxY8bwv//9j8OHD/Piiy+SlJTUph0UrWCOgsm/Db598m9VkCSY0FgYdVnw7WnHQ/Z69WeNFvqd0Lp+CtGbjLnCv23HIhh5UfD3TLxB8hsJ0ZVZ4oInirYmH9v4HXF+8G0jL6qfqXr8b489ma4QjdQ0MwcLqGVCkoNFCCGUVudgycnJAeBvf/sbixcvJi0tjWeeeYaHH364TTsoWiltCgw5w7894wJIHtv0ew1mOPHuwMk1T/ozbP1UVT0BleA2LOGYuytEjxfZF6bd7dtWvE9V/Ag0VoeeBSkTOqZvQojWsSbBRfP9Z6IZLHDxfFXquLXCk1WVscbihsCQ09USwkGnQr9prf8MIYKocbox6DRotUcv1R1q0lFeI0uEhBACQOP1er3HepDq6mp27NhBWloasbFd/2lreXk5ERERlJWVYbVaO7s7x87jATz1y35qk93VlEDRXtj4Dmh0MOZyiOoPYXHNO275YSjco8pOGkMhaSTUlMG6eRDRB0ZdrP6rM6jP1mjqP7+padMuB+iPYdq06LG61Nh0u9QMLW0z49CBfq+9XpUsunY8VJeocZW9QSWqjB8C0enqs0r2wcYP1DgadYmqClJb7StYX9xO37EnRDvpUmOzq3G7oPwQ7PoaDq1WuVEGn65mtugaLcetvT43vkY6bWo5UcMx7vWCrQKqC2HNa1BVCEPPUCXat38BGedC9ABVrlmrlfNBL9Ye4/OFpXt5fukeXrrq6IH+fy3eTpLVzItXjW+TzxZCiO6sVWWaH3zwQe6++24sFgsAFouFcePGUVNTw4MPPshf//rXZh1n2bJlPPbYY6xdu5acnBw++eQT5syZ0+R7fvzxR+666y62bt1KcnIyf/zjH7nlllta89fo/qoKVZWBNa+D1w3T71XlmTe8rWaYjLoEEkfBOf9t3fG9XlV1aO/3apZK/DCV3Pb8l9T2kiOftfd7iOwHY6+AkkzY8CbEDIKxV6oAjNGibiZLs2DzR5C9DpLHwcgL1Q3ksaxRF6KtlR1WiZy3LFCzSyZcB1HpYAmQQ8XlgLIs2PQ+5G5SM05GnA/mGHXDtXYelGWqp8wDZ6ncRrYyOPATOCpU7oTwFIjup8ZC/+n+fclapRLkhkTBhOshur9KRL3r6/qxN/4aNdZMYR3xLySEaEinVwHR425WP4GUZkL+dlXS2euB0ZdBwggVFNn9tUpaG5akxnJ4knpAsn6+muWWPgMmzYXItPrgScIIFcxZ+oh62JG/TZV2t6aq0u+RaRAigTDRejUO11ErCNWyGPWUyQwWIYQAWjmDRafTkZOTU5fotlZRURHx8fG4m1lW9KuvvmLFihWMGzeOCy644KgBlv379zNixAjmzp3LzTffzIoVK/jNb37Du+++ywUXXNDs/veIJ3FVBfD1X2DTe+r1Dd/AsifUF7WG0ibDef+DqL4tO37JQXjjTHXz2NCsv8LEG6EiD14/VZV0bui0R+DActjxhXrifvF8GDQbDq+DN88Fl71+X70JrvpU9VGeuAm6wNgszYJ5Z0PJft/2aXfDlNvVk+NaHjcc/BneOs+3ROqIC6HfVFh0p+8xQmPhknfg3UvUzVOtuCFw2QcqyNJQ2SGYfy4U7fFtn3ybyqG0tFHFtjkvQsYctcRPiDbW6WOzOyvJVOeDvd/7tvefoR5MfDy3vm3QbMg4Dz77jXrIUcscBdcthvihUJ4Nb12ogrgXvg6f3uJfDvrMJ9VDFgm69grtMT4fWrSNr7bk8vhFo4+676vL95FdauPLO2S5mhBCtCoHi9frRRPghnjjxo1ERzc/0drpp5/OQw89xPnnN5HIrYEXX3yRtLQ0nn76aYYNG8aNN97I9ddfz+OPP97sz+wx8nfUB1fSjldfuBoHV0A9id/7Q8uO7ayGpf/2D64AfP+g+qwv7vYPrgB8+1cYd436s9ejvjiWHYKPrvUNroB6/dF1apaMEJ3NZYPlT/sHVwB+elwt7WmoIlf9XrsbPbUbfQl8+Qf/Y1QVqqDI2Kt82wt2wupXwNlgfLgc8MsL/sEVgJXPQuII/0DKwtugMi/Y304I0VkO/eofXAHYvxSqiyB2cH3bhOvh8zt8gyuggrILb4eqIlj3JuRvVct+f3neP7gC8OXdcj4Qx6Ta6SbEIDNYhBCipVoUYImKiiI6OhqNRsPgwYOJjo6u+4mIiOCUU07h4osvbq++snLlSmbPnu3Tduqpp7JmzRqczuAndrvdTnl5uc9Pt+ZywK8v1b8ef71aihDMunlqqUFzVRfBlg+Cb9/5JbiqAm9zO6HkAFhT1GtnjcoD46wJvH9FrpqNI3qlLjU2q4pg49vBt2/9pNH+BSpo0lBUfxUw8QSZxbd/KfSZ5N++6V3fQGN1IaybH7wve35Qiawb8rjqq3sJcYy61NjszioLYe3rwbdvWQBDz1R/Do1T5wG3I/C+h35V553a4/U9IXDgBtQDjoM/t77fokvriPFZ43BjbOYSoTCTXpLcCiHEES3KwfL000/j9Xq5/vrreeCBB4iIiKjbZjQa6devH5MnT27zTtbKzc0lIcG3Yk1CQgIul4vCwsKgJaIfeeQRHnjggXbrV4fzetQsk1o6A7iCBDBA7Rvshi/g8b3+T+UbsleCztTE59X45lVx1jSd9NYtpf16q641Nr3+s6waslf4vg50E6QzBA8mghpbtRW4GnLWqM9vuJ/LFvw4zurAiaId1f5tQrRC1xqb3ZjH2fQ5oeH1UWdsel9QgdTac4PX4z/TpSFHkAchotvriPFZ7XC1KMBSYXfh9njRNaPqkBBC9GQtmsFyzTXXcO2117JkyRJ+85vfcM0119T9XHbZZe0aXKnVeGlSbQqZQEuWat13332UlZXV/WRlBVj60p0YQlSCvFq7v4GhZwfff8hZEJ7Y/OObrCqHRDCDT1NJNoNJGK4Se4LKrRI/NPiNn8HS/KpGosfpUmPTZIWBJwffPvxc39dhCaAP8W0r2Q9Jo4IfI35Y4KV3g06FkMj61yERMPjU4MdJnw6H1/q3p0pZZ9E2utTY7M7CEmDYOcG3DzoFMn9Rf67IgdhBwfeN6qdysQw5MuOleD8kjgy+f1PXcdGtdcT4rLK7CdHrmrVvqEk9r5VZLEII0cocLNOnT+fgwYP85S9/4bLLLiM/X63/Xbx4MVu3bm3TDjaUmJhIbm6uT1t+fj56vZ6YmJig7zOZTFitVp+fbi9tMsQNVX/e+C4MOEl9+WosPFEl0WtJWWRzJJz2L5WEtrGBp6iysrMfUklsGxt1Cez/qX7GzAl3Qlg8nPrPwJ81+yH1BVT0Sl1qbIZY4ZQHAyeJ7TcNYgb6toXFw8l/821zO1Vlj1GX+B9Dq4OT/gyrX/VtN4XD9D/6VikyhcHM+1V59Mb6HK9KujbOuzD+WtUnIdpAlxqb3ZlWC8PPUVV9GrMmq2v5/mXqtdejcqaNv85/X40GznwKIlJg2l0qCLvmNTjxj6o0c2MjLlTHFz1SR4zPaoeLEEPzAixhJrVfSXWQ5W1CCNGLtCrA8uOPPzJy5EhWrVrFxx9/TGWlms2wadMm/va3vx3l3a03efJkvv32W5+2b775hgkTJmAwNLEEpSeKSIErP4YZf1L5Tr68G674UFUYCU9Ua7kn3gjXfgExA1p+/NihcNMyGH6eemIWnQ5nPAHnPqtmnKRMgLlL1BN/c5QK9pz7Agw5Hda/pUpIXjwfJt+utmecryoGpU5Qr1MnqNcjLggcyBGiM8QMUr/3Iy9Wv6dR/VSw8YJX/IMXBrOaSXblAlV23BwFqZNUqeWT/66q+sQOVu2DT4O5SyFxjHpPZBpYolUg5obvIHqgf1+iB8BNP8KoS9W+kX1h9j/hwtcgZbzv2Dv/JZj5F/VaCNG1RKfD1Z/B8b9RDxTC4mHSTXDNIhUEGXiKGruxg9W1d+pdcMGrED9ctafPhBt/gLTj1PGi+qvrb//pKofL5R+oc4w5Ss2AOfc5VdHP0vyiA0I0VmV3N7tMc3iI+g5eUi0zWIQQolVlmidPnsxFF13EXXfdRXh4OBs3biQ9PZ3Vq1czZ84cDh9uXkLVyspK9uxRVTLGjh3Lk08+yUknnUR0dDRpaWncd999HD58mPnzVbLH2jLNN998M3PnzmXlypXccsstvbNMcy23G6oL1JMvS7RK41CbLDM0HkwBnoC3hKMKbGWg0akvhY2XYtnK1XIhrUEFXmpKVX4InVGVpW2sulitH9eHyJc/4afLjM2j/d43Vvd7bfadiVKZr3ImGMPUDBlQOYfKD4PXDZbY+vagfakGW6nqS2iceiIO/mNPiHbUZcZmd+a01V+fwxLAaFF/riw4MpZ1vjNdqgrUrDhjqJqx4ne8GlVdSKNT11RnlZrNIjPZep32GJ/T/v0DY9OiuGxSgNlXjZRWO7j17XW8es0EZg2TWclCiN6tRUlua23evJl33nnHrz0uLo6ioqJmH2fNmjWcdNJJda/vuusuQOV6eeONN8jJySEzM7Nue//+/fnyyy/5/e9/z3PPPUdycjLPPPNMi4IrPY5O559fJbp/2x3fGBp4mUKtEKvvDaI5Uv0EI0EV0R0c7fe+sWC/14FudHR6iOrbgr5Y6m/EGmo89oQQXZshJPD1OSwOCBAkDT1K4NRg9l3SaA4QhBGilaoc7uYvEQpRtxNFVbJESAghWhVgiYyMJCcnh/79fb8orF+/npSUlGYfZ8aMGTQ1geaNN97wa5s+fTrr1q1r9mcIIYQQQgghmq/a4Wr2EiG9VkuoSUeJBFiEEKJ1OVguv/xy/u///o/c3Fw0Gg0ej4cVK1Zw9913c/XVV7d1H4UQQgghhBAdwO3xYnN6MDdzBgtARIhBZrA0lL8d3r8KXpoB3z+olvUKIXqFVgVY/vnPf5KWlkZKSgqVlZUMHz6cadOmMWXKFP7yl7+0dR+FEEIIIYQQHaDa4QJo9hIhgHCzgcIKe3t1qXvJ3QyvnAzZ6yAkElY+Dy9Nh5KDnd0zIUQHaNUSIYPBwNtvv80//vEP1qxZg0ajYezYsQwcGKAShhBCCCGEEKJbqLK7AQgxNP85bITZQEGlBFhwOeDD61R+xFMfUXmSyrPhu7/BvLNh7g+Bi0AIIXqMVs1gAXj11Vc555xzuOqqq7jyyiuZM2cOr7zySlv2TQghhBBCCNGBqo7MYGnJEqFIs4H8cgmwsPYNKN4LJ9xZn4TamgyzHwJ7uVo25HZ1Zg+FEO2sVQGW+++/nzvuuIOzzz6bDz/8kA8//JCzzz6b3//+97JESAghhBBCiG6qyq4CAKaW5GAxGyiosLVXl7oHtxNWPA39p0NUP99tYQkw/V7IWgVL/tkZvRNCdJBWLRF64YUXePnll7nsssvq2s455xxGjRrF7bffzkMPPdRmHRRCCCGEEEJ0jMojARaLsfkBlqhQI8XVTuwuNyZ989/Xo+xaDOWHYfr/Bd6ekAFjr4DlT8Gg2dB3csf2TwjRIVo1g8XtdjNhwgS/9vHjx+NyybQ3IYQQQgghuqNKW8uXCEVbjAC9e5nQujchdghEpwffJ+MCiB8Gn94KzpqO65sQosO0KsBy5ZVX8sILL/i1v/TSS1xxxRXH3CkhhBBCCCFEx6udwdKSKkLRoSrAklPWS5cJVRfD3u9hwElN76fVwZTfQdkhWPZ4x/RNCNGhWrVECFSS22+++Ybjjz8egF9++YWsrCyuvvpq7rrrrrr9nnzyyWPvpRBCCCGEEKLdVdld6LUaDDpNs98TG2YCIKesl87K2LEIvB7oe8LR941IhREXwM/PwJjLIWZA+/dPCNFhWhVg2bJlC+PGjQNg7969AMTFxREXF8eWLVvq9tNomn9iFkIIIYQQQnSuCrsLs1HXou/xZqOO8BA9h0p6aYBl20KIHw7mqObtP/JC2PsDfPd3uOTNdu2aEKJjtSrAsmTJkrbuhxBCCCGEEKKTVdhcLUpwWys+3ERWcXU79KiLc1TB/h9h7FXNf48+BMZcASueguz1kDy2/fonhOhQrcrBIoQQQgghhOh5KmxOLMaWP4ONDTOxv7CqHXrUxe1fBm4HpE5q2fvSZ6jlQj8+2i7dEkJ0DgmwCCGEEEIIIQA1g6UlFYRqJUWYe2eAZc93EJ4E1uSWvU+rg4zzYeeXULi7ffomhOhwEmARQgghhBBCACrA0pIKQrWSI0PIr7BTbnO2Q6+6sD3fQfI4aE3uyfSTVN6WVS+2fb+EEJ1CAixCCCGEEEIIoHaJUMsDLKlRFgB251W2dZe6ruL9UHKg9TlUdAYYNBs2vqdyuQghuj0JsAghhBBCCCEAKKtxEmpqeQ6W1CgzOq2Gbdll7dCrLmrfEtDoIHFU648xaLYKrmz9tM26JYToPBJgEUIIIYQQQgBQbnMR2ooZLAadlr7RFjZk9aYAy1KIHQxGS+uPEZagAjQb322zbgkhOo8EWIQQQgghhBAAVNS0rooQwKCEcFbtL2rjHnVRHg/s+xGSRh/7sdJnwIHlUJ5z7McSQnQqCbAIIYQQQgghcLk9VDncrcrBAjAyJYJDJTXsye8FeVjyNoOttG0CLGmTVVWh7QuP/VhCiE4lARYhhBBCCCEE5TYXQKtysIAKsISadHywJqstu9U17fsR9CaIG3rsxzKFqUDNts+O/VhCiE4lARYhhBBCCCEEZTWqxHKoqXUzWIx6LacOT+T1Fft5adle9hf24Mo4+5ZC/HBVCagt9DkeMldCdXHbHE8I0SkkwCKEEEIIIYRoEGBp3QwWgDljU5g8IIZHF+/k5Cd+5LtteW3Vva7DZYfMn9tmeVCtPpPA64E937XdMYUQHa71Z0/R5ZRWO8gts/H99jzcHpg5LJ7kSDPRocbO7poQQuBwucktt7NybyGZxTVM6BfF0MRwkiLMnd010cUVVNjYX1jNT7sLiA41MmNIHAnhIViO4SZQCOGvLsDSyiS3oKoJ3Tp9IDeckM5/vt/FXz/bwowhceh1Pei57qHV4KyBpLFtd0xLDMQMhF1fw6iL2+64QogOJd9MeojiKgfPLdnDq8v317U9+d0uLhyXwr1nDCM2zNSJvRNC9HYut4d1maVc89qv2F2euvbUKDPvzD2etOhjKHEperTcMhu3vr2W9ZmldW0PLoLHLhzN6SMSj+lJuxDCV2m1A4DwkGMfV0a9lgvGpfLnT7fw894iThwcd8zH7DL2LgGTFaL7t+1xk8fBnm/B41ZJb4UQ3U4PCiX3bjtzK3yCK7U+WneYtQdLOqFHQghRL6/cxo3z1vgEVwAOldTw5082U37kqakQDTndHuavPOATXAHweuGejzaSW27rnI4J0UOVVjvR6zSY9G1zi9A/NpS4cBM/7Mhvk+N1GXu/h+QxoGnjW6nkcVBTAjkb2/a4QogOIwGWHqDa4eLV5fuCbn9p2T7KjjyREEKIzrC3oIpKuyvgtuV7CimuknOU8FdUaefNlQcDbvN64ZutPTC3gxCdqLTaSbhJj0ajaZPjaTQahidZ+WVfUZscr0uoKoLsDW27PKhW3BAwmGHfkjY/tNfrJas8i9W5q9letB2HW667QrQHmVfbA7jcXoqrgj/9La124HR7O7BHQgjhq7SJIK/XCw63J+h20Xt5vFARJDAHkF8hM1iEaEsl1Q7C2njZ3aD4MJbvLqTG4cZs7AHLXvb+AHghZVzbH1tngIQRqgT0tD+02WGXZC7h6XVPs6+s/oGsWW9mZp+ZXDX8KjJiM9rss4To7STA0gOEmvScPCyedZmBlwLNGBKH1Sz/q4UQnWdIojXotrgwU5us9xc9j9mgY1zfSNYdLA24/aQh8R3bISF6uJJqB2FtfD7uFxuK2+tlR245Y9Oi2vTYnWL31yoZrSWmfY6fOBrWzwenDQwhx3Qor9fLU2uf4vWtr5MRk8Hvxv6OpNAkKp2VbC/ezvLDy/li/xec1Ock7p5wN2nWtDb6SwjRe8kSoR5Ap9Vw9uhkoiwGv21hJj1XTe6HUd8DnhgIIbqt+HATp49IDLjtvjOGkhB+bF8iRc8UFWrkr2cORxtgtcLghDCGJIZ3fKeE6MGKqxyEm/y/Tx6LPlEWtBqVL7Dbczth1zeQMqH9PiNpFLgdqlLRMfrv+v/y+tbXuXTIpdw1/i7GxI8hITSBAZEDOCv9LB6e+jBzR85lU8Em5nw2h+c2PIfdbW+Dv4QQvZcEWHqIPtEWPv7NFE4bkYhWAxoNnDQkjk9+M4W0KKnOIYToXFGhRh44N4PfnzyobkZdvxgL/7tqPLOGxaMNdActBDAkycoHN09mZEoEACa9liuPT+ON6yaRYJXAnBBtqaSq7WewGPVaEqwh7MqrbNPjdooDy8FeBmnHt99nRPVTFYoO/HRMh/k+83te3vwyFw2+iNn9ZgfMq6PVaJmcPJmHpj7Eqf1O5ZVNr3DeZ+fxS84vx/TZQvRmXWJO9vPPP89jjz1GTk4OGRkZPP3000ybNi3gvkuXLuWkk07ya9++fTtDhw5t7652af1jw3j8olGUnTkMLxAeYqDa4WJbTjkAMaFGEqwhciMjhGgz1Q4XhRV2SqqdmI06YkKNxAQpCx8fHsJtJw3k4ol9cLm9hBh0xIVLCXnRNLNBx4R+0cy7fiJVdjcAWg0UVtipcriICTUSHSq/R0K0haIqBwPjw9r8uMmRZvYW9IAAy7bPICwRoge032dotJCQoYI5rVRiK+HvP/+dcfHjOK3faUfd36Qzcf6g8zk+6Xje3PYmc7+Zyxn9z+APE/5AvEWWYgrREp0eYHn//fe58847ef755znhhBP43//+x+mnn862bdtISwu+DnDnzp1YrfVr+uPi4jqiu11emMlAmEkFVlbsLuSPCzZRUq0S4MaEGnni4tEclx6D2SBLhoQQx6awws6Ly/Yy7+cDdYm0hydZee6KsfSPDfwFXafTkhRh7shuih4iOtSEy23j6e928/6aLNwe9Ts3tk8k/7lsLGnRMltTiGNVUuUgPKRtlwgBJEWEsDGrtM2P26HcTtj2KQyYqaaKt6eEEbBuXqvzsDy19imcHidXDb+qRRWhksOS+ePEP7IiewUf7fqIJVlLuGHEDVw1/CosBjnHCtEcnb5E6Mknn+SGG27gxhtvZNiwYTz99NP06dOHF154ocn3xcfHk5iYWPej00nAoKH9hVXc9NbauuAKqKcSN8xbQ2ZRdSf2TAjRE7jcHt5fk8krP+33qVK2LaecK15eRW5ZTSf2TvREdpebl37axzu/ZtYFVwDWZ5Vy3euryS+XikJCHIsahxuby4PV3PYBlkRrCIdLa3C4unHFuF1fQ00JpPvPpG9zCSNUHpbDa1v81p3FO/l0z6fMGTCHCFNEi9+v0WiYmjKVh6c+zLSUaby48UVO+/g0Xt38KmX2shYfT4jeplMDLA6Hg7Vr1zJ79myf9tmzZ/Pzzz83+d6xY8eSlJTErFmzWLKk7WvFd2fVDhcvLN2LN0BlZrfHy2vL93XvC5wQotPlV9j534/7Am7LLrOxr6Cqg3skerr8cjtvrjwYcNvegkqyJagnxDEprFTJTa3tUNUtwRqCxwuHS7vxOF37OsQOVjlS2ltUPzCGQmbT90OBPLP+GeIt8UzvM/2YumAxWLh06KU8PO1hRsaO5NkNzzLrw1n8efmf+enQTzjcjmM6vhA9VacuESosLMTtdpOQkODTnpCQQG5ubsD3JCUl8dJLLzF+/Hjsdjtvvvkms2bNYunSpZx44okB32O327Hb6zNil5eXt91foguqcbibzNS+PbeCaocLo97Ygb0Swl9vG5s9SY3TTbnNFXT77vxKpgyM7cAeibbUFcdmtcOFvYmHA5nFNYzp0wNKwApxFO01Pouq1A1zRDvMYEmwqjxJmcXV9I8NbfPjt7uCXbDnO5hyR8d8nlYH8cPhwM8Q+PYmoG1F21h2aBlzR85Fr22b27xYcyzXZlzLeQPPY9mhZazMWcnCvQsx6UyMjR/LmPgxjIwdyajYUUSGRLbJZwrRnXV6DhbAb22g1+sNul5wyJAhDBkypO715MmTycrK4vHHHw8aYHnkkUd44IEH2q7DXZzZoGNgfBi78wMnExsYH4bZKEuqROfrbWOzJwkxaAkz6am0Bw6yDIjrhl+gRZ2uODYtRj1GnRaHO3CQJTVScvuI3qG9xmdR7QyWdgiwRIea0Gk1ZBZ302XqPz0GlhhIn9Fxnxk/HLZ8BG4X6Jp3y/ba5teIt8QzKXFSm3cnwhTB2QPO5qz0szhceZgthVvYWbKTt7e/TYVDPdgdFDmIGX1mcFb6WaRHprd5H4ToDjp1iVBsbCw6nc5vtkp+fr7frJamHH/88ezevTvo9vvuu4+ysrK6n6ysrFb3uTuwmPTcOiNwdnONBuZOS8eklwCL6Hy9bWz2JPHhJm6Y2j/gtrhwEwPi2r4Kheg4XXFsxoWbuGRin4Db+sZYSJEAi+gl2mt8Flba0QDh7bBESKfVEBtm4lB3DLAcWgObPoRRl4Cu7YNPQSWMAEcV5G5s1u6HKg7xbea3nNr3VHTa9vuer9FoSA1P5bT+p3HHuDt4esbT/Gvav7hhxA3EWeJ4d8e7nPvZufz2+9+yt3Rvu/VDiK6qU2ewGI1Gxo8fz7fffst5551X1/7tt99y7rnnNvs469evJykpKeh2k8mEydS7Sjimx4XxzKVj+NMnW+qeMFtD9Dx64Wj6xkgWcNE19Max2VMYdDquPD6Nggo7763OpDbnaHpsKC9dPZ4kudnt1rri2Awx6Lht5kDKbU4WbsyuyzM2NDGcF68cT0JEyyttCNEdtdf4LKiwEx6iR69tn+evceFGskq6WYDFVgYf3wSxg2DQqR372TEDQWeEgyshZfxRd397+9tY9BampEzpgM7V02g0xFviibfEc0LKCTg9Tlbnrmbh3oVc+PmF/G7s77g249oWVTMSojvr9CVCd911F1dddRUTJkxg8uTJvPTSS2RmZnLLLbcAKkp/+PBh5s+fD8DTTz9Nv379yMjIwOFw8NZbb7FgwQIWLFjQmX+NLqPG6aK0yokXmDE0jm/uPJFKhwsNEGrUEW8NQa8LfuHMKavB5nCj0WiICzUQam46T0txlR2b04NOoyEu3IRWKydPIXqLuPAQ7jtjKDdNT6e40oHZqCMmzEh8uLrRPVRcjcvjRaeFPtGtWzLU8JwWYTYQalKXrQqbkwqbC40GYkJNGPXqvJZbVoPN6UGrUVUrjB1Qkr7S5qLc5kQDRIUaCemAz+xp3G4PBZUOPF4vZqOOKIu69hRV2Ci3117D9Lg9Xu45dQh/OGUIueU1hJn0xIWbiAsPwe3xUlBhw+NVwZjoUMkzJkRLFFY6iLC03wyNuDATWcXdKMltVSG8exlU5sIZT6q8KB1JZ4C4oXBwBUy5rcldq53VfLLnE6anTsek69zguEFrYEryFCYmTuST3Z/w5Non2VWyiwdPeBCDtgNnAAnRSTo9wHLJJZdQVFTEgw8+SE5ODiNGjODLL7+kb9++AOTk5JCZmVm3v8Ph4O677+bw4cOYzWYyMjL44osvOOOMMzrrr9BlZBZX8Z/vdvP5xhz6xVh4+PyRvPHzARZvyUWr0XDaiETumDWIAfH+U/crahzsK6zmX4t38Mu+IiwGHRdN6MN1J/Sjb4z/jVGFzcmWw2U89MV2tmaXExtm5KYTB3De2GTiwuUpohC9RXiIgfAQA/0anCdySmv4ZV8R//l+NweKqkmNMvPbGQOZPiSO5BbMbMksruKZ7/ewcEM2Hq+XUzMSufe0IVQ73fz7qx0s3VWAUa/l4gl9mDstnfwKG/9YtJ0NWaVEWgxcdXwal0xMIzWqfWbtudwe9hdW8ejXO/h+ez4GnZYLx6Vy60kD2u0ze6K8chsfrM7i1RX7Ka12MjYtkkfPH4EHLU9+u5Pvt+ej1Wg4fWQiF4xL5Z9fbOP4AbFMGxTLHxds4top/ThlWAKfbsjmlZ/2UVLtZFRqBPefOZzhyda6oJwQomkFFfZ2SXBbKzbMxMas0nY7fptxOWDDW/DDP8HjgpMfhIiUzulLQgbsWgweDzQxs2jRvkXUOGs4qU8HlJBuJoPWwMVDLqavtS+vbn4Vp9vJv0/8d7suXxKiK9B4vYGK+fZs5eXlREREUFZWhtVq7ezutIlDJdWc9/zPFFTY0Wrgjesm8bv31lNa7fTZLzbMyIe3TPHL4L7pUCkXvPAzTrfvr8OQhHD+d9V4+jXa/7ttedw4f41fP84Ymcg/54wkSp4cilboiWOzt6m2O3n954M89vVOv203T0/n1hMHENmM88PhI+e0/Ir6Shlmg46Xrh7P3PlrsDl9E532jbFwz6lDuO2d9T7tk9NjePzi0e2Sn2NfQSVn/Xc51Q63T3tqlJkPbp7comBSV9deY7Ow0s7v39vAT3sK69qMei2f33YCF/1vJeU1vkmU48NNPHL+SG6Yt4aMZCtXTe5LabWTn/cUsmx3oc++Gg3Mv34S0wbFtVl/heiK2mp8XvTiz5j0On570sA27F29n3YX8PzSvWx/8LSuW2xh++ew+D4oOwTp02H89WCJ7rz+5GyAb/4Cv/kF4ocF3MXr9XLBwgsIM4Zx+9jbO7Z/zbQ2by0vbHiBy4ddzv9N+r/O7o4Q7apTk9yKtuHxePlycw4FR25Epg+O5/sd+X7BFVDTPz/bcBhngyoMuWU1PLp4p19wBWBnXoVfyee8cht/W7g1YF++3JxLfoXtWP46QohuLLfczn9/CJx0/LXl++vKgDbF6/Xy1ZZcn+AKwLljknl7VaZfcAXgYFE1BRV2v+pFK/cVkVPa9lPSaxwuXli61y+4AnCopIaf9xa1+Wf2RNmlNT7BFYA7Zw3i7VWZfsEVgPwKOxsPlTIuLYqt2eWE6HUMiAv1C64AeL3wt8+2yjVJiGbKK2/fGSxxYWrpyuHSLpiHxeuFb/8K718J4YlwzrMw7e7ODa4AxA5VS5MOrgi6y8aCjewu3d2lZq80Nj5hPJcPu5y3tr/FZ3s+6+zuCNGuJMDSA1TaXSzeklf3elRqBCv3+n/ZrLVkRz7FVfU3Ljanh5X7gt8MfLc9z+d1hc3J4SZuWDYdLmtOt4UQPVBxlSNgAATA6fY262a30u7iqy25fu2jUiNZ2UTg4pd9RYxMifRrb+r81lrlNS6W7ioIun3RpmzsLv/gi/D1S4D/NyNSIvgpQMCk1sq9RYzpEwHAgaIqduRUBN13X2EVlbbApcSFEL4KKux1+Y/aQ2y4CrAcKumCeVh+egJW/Acm3Agz/wpRfTu7R4ohBGIGwYHlQXf5cNeHxJnjGB4zvAM71nIz02YyNWUqD/3yEPvK9nV2d4RoNxJg6QEMOi1Wc/0a8xqnm/CQ4E8gwkMMGHX1UzO9eJssyRfZKOGZQaelqUTgEU18thCiZ6tNNhtMcxLA6rQaIgM8RbU53U2eq8JDDNQ4/YMaUe2QtFGr1WBtoi9RFiM6Sfp9VIFu5hyu5v9/Nuq1hDfxxF2n1WBoIrG7EEKptLuocbr9vvO1pdrzYpcLsGSthiX/hFGXQsYcmvyS2xkSRqgAS4CsDmX2MhYfWMyJqSei1XT9c90VQ68gMiSSP/30J1weCX6Lnqnrj0RxVGajjhum9q97vXhLLnPGBE/GdfXkvj45UhKtIVwyoU/Q/c9pdKwoi5EZgwOvaTfptQxLktwZQvRWURYj/YKUgk+wmppV2cVi1HN9g3NarS8253D+uODntlnD4vlpt++sEp1Ww+T02KN+ZkvFhZu4/gT/Pta6anLfdit12pNM6h/tF4h6e1UWVx4X/OnxmaOS+Habmlk5NNFKWrQFfZBg1qkZCVJNSIhmyCtXswvbIyBdS6fVEBtm7FoBFo8HFv0eYgbA6Ms6uzeBJY6EqgIo9F9+u2jfItweN1NTpnZCx1rOpDdxw4gb2F60nXlb53V2d4RoF/Ltr4cYnmzl0okqSJJZrNa2zh6e4LffuWOSyUjxDYCYjXquOC6NESn+gZF7Th1CbKMvp1azgb+fk0FyhG+1IJ1Ww/NXjCPB2rnl4YQQnadPtIX/XDrWb3aHxajj2cvH0SeqeYlfhyaGc/kk38Dv2oMlHNc/huP6+6+Jv+2kAewvqPLJiaLRwKMXjCIuvH3OSacMT2DaQP/gzS3T0+kfoPqa8BdvDeHpS8b4PDBesjOfYcnhzBoa77f/eWNTKCi3U1jp4O7ZQ/hqSw7vrDrIk5eMpnGMpU+0mftOHyZVhIRohryyIwGWdg5IxoaZmlxm3uG2fgx5m2HiTR1fhrm54oervh1Y5tPs9Xr5cOeHjIkbQ4QpopM613IDIgdwSr9TeH7j82RVZHV2d4Roc1JFqAtUKnG5PTjcHswGHRqNBqfbg9PtwWIM/KXQ4fLg8XoIMfhuL6lykF9hY0duBXi9ZKREUFrt5PON2Wg1Gs4anUxSREjQyhYHi6rYW1DFd9tziTAbOWtUEtGhRpIiAu+fU1rDwaJqDpdWEx5iYEhCOAkRIc1aAiBEIF1tbB6rxmO7Kwp2PjkWHo+Hg8XV/LyniM2HyxiaGM6Jg+PoE2XBoNdid7qxuzyEmXRom5jlUVxlJ7vUxucbs3F5PJw1Kpm0aAser5d9hVV8uTmXcJPuyLnNTFm1gy3Z5fy0u4AEawinj0giwWok0tJ+Qd+CCjsHi6r4YnMOFoOu7jwb2Y55DDpDe47NaoeLggobhZUOXG4vMaEGoiwmHG43BRUOPlp3CKNey2kZieSX29iZV8kpwxMoq3FQ7fAwOD6M6FAjhVV2vtmax+HSGqYNimNEijXo9UuInqQtxucn6w/x+/c38vq1E9v1e9yLP+6ltMbBZ7/tAjMuvF54YQoYzHDyA53dm6Z99UeIHQQXz69rWp+/nqu/upo/jP8DGbEZndi5lrO5bNy/4n4yYjN4btZznd0dIdqUPNbpROU1Tg4WVTN/5QFyymxMHxLHjCFxfLTmENtyyjlleAIzh8aTGqWm2xdV2tmdV8m8Xw5QbXdz7phkJqfHkHQkYOLyeMgpUzcjbg8Y9Tr6xVgY3ScSl8dLabWD+Cae5PaNCaVvTCgzAzw1bMzr9eLyeNmQVcryPYWkRplJjTLjdHskwCJ6vYoaJweLq5m38gA5pWpsn5aRSGqUucsEWoqrHOzNr2TeygOU1zg5a3QyUwfGtklpYdeRuH2IUcv4vlFoAI/XS2mNg9wyG2/+cpDsUhvj+0Zxzphk+kZZ0AfI3RIdaiI61MSIFN8ncweLqsgprSHMpEejUVPbrSF60mJCSYsJ5YyRScf8d2iuuHATceEmJvTr5EoT3Vil3UVhpYN3Vh1k2qB4ym1OHv9mFzVOD2eOSuKi8ansK6jE4/EwZUAs4/tGs2BdFj/vLaZvtIXUKDOxWg39Y8O4eXpYZ/91hOiWcsvshBp17f4dLi7cxJbsLlIMYf+PkL8NZj/c2T05usRRsGuxWtJ05MHEBzs/IN4Sz7CYwOWbu7IQfQiXDLmE5zc+z7JDyzgx9cTO7pIQbUYCLJ2kyu5iwbpDPPD5trq25XsKeX7JHp6+ZAzvr8nip92F/PeHPXx0y2TCTXr+vXgHH6w5VLf/j7sK6B8byts3Hodep+GeDzfxY4OqFkt25jOmTyTXn9CPuz7YCMDx6dE8duFo+kQHzpHQXLvzK7nwhZ8pb1Cd4b3VWTxy/kjOHZMcdPaNED1dld3FJxsO89fP6kuZL99TyHNL1FgeGB/eib1TSqoc/Of7Xcz7+WBd27LdhfSJNvPe3ONJiWr9+cHr9bIhs5QrX/kVR4Ny8HedMoi4sBDu+2RzXdvyPYW8unw/7849jpGpkc06fmZRFde/sYa9BZU+7WePSuK+M4a1SYBIdJzCChvvr87iiW92ce/pQ/lmWy5fbq6vIPXjrgIGxIVx3xlDueTlVUwfFMfpI5N49OtdACwH3v41kycvHs0ZI5MkwC9EK+WW1RAd1v4z7+LCTBRVOqhxuDEbO3m8rn4VIvuqHCddXdIY2PQe5G6E5LGU2Er45sA3nDvw3G6R3DaQ8QnjGRY9jEdXP8rk5MkYtFIkQ/QM3XNE9gD5FXYeXLTNr72k2slLP+3j4iNJZwsq7Dz7wx72F1X5BFdq7S+s4u1fDpJZWOUTXKm1IauUw6U1ZCSrKaO/7CtmzcGSY+p7abWD+z7e7BNcqfWXT7dQUGEP8C4heoeCCjt/X7jVr7202slfP9tKWY2jE3rl61BpjU9wpVZWcQ0v/7QPhytwmeXmyCu38bt3N/gEVwBOGZ7IXxdu8du/0u7ivk82k9OMNfl2p5t3f830C64AfL4ph/2FVa3ut+gcxVVOnvhmF5EWA0kRIT7BlVp7CypZubeIaQNjWbqrALfHS2qjXD73Ltgs1x4hjkFOmY3oDljaGG+tLdVc3e6f1aSqQtj5JQya3fWqBgUSNwT0Zti7BICPd3+MF2+3SW4biEaj4dKhl5JVnsWHOz/s7O4I0WYkwNJJft1fHKjaGgAr9hQxLi2q7nWl3cX7vwZPAvXe6iwKKoPftC3alMOsYfXLft77NZOiytZ/ES2pdrA2SJDG7fGy+XAXmfopRCdYe7AYT5Cx/fPeIkqrnR3boQA+WecfrK314ZpDFFe1/vxQXOUg90g1ilqDE8LYnVeB0x34H2bL4XLKbEf/d8ktt/Hx+sNBt3+wOguXu/XBIdHxlh2p+nTCgFi+354fdL8vNuUwa5hK3P7VlhxmDPFdyupwe9iZV9F+HRWih8surSE6tP2LFMSHqwIJB4s6OcCyZQHghfQZnduP5tIZIGkk7PkOl8fFezveY1LiJMKNnT8r9lj0Ce/DCSkn8PzG56lwyDlc9AwSYOkkDpe7ye1e6m9ENBqwN/FE2en2NBl8d7g8PuVCnW4P7mB3gM1wtPsXu1NucETv5XA1PbaOZey1FVsTY9Tp9gYN/jZHoL+eSa876qyY5v67BAvSANjdHjy9L297t1Z7bdPrNH6znhpyuD0YdOpC53DV/9lnn2OYeSVEb5ddZuuQkuaRFgNGnZaDxZ0cYNn0PqRMgJDuU32H5PGQtYplez4ntzqXk/ue3Nk9ahNzBs6hxlnDa1te6+yuCNEmJMDSSSb1jwm6bUSKlQMNp7p7Yc64lKD7nzYisckylLOGxfPLvqK612eOSibeGhJ0/6OJMBsYEBc8keCYtMhWH1uI7m5Cv6ig24YnWYkwd/4a43PGJAfdNjsjAesx9DEq1IjV7Hs+2ppTxvDkiKCB4L4xFqwhR//M6FAjpwwLnoR7zphkjHrJwdGdTBukylyvOVDC9MFxQfebNTSeX/YVAzBzqO81DdSDiOFJ3b/ymBCdweZ0U1zlILYDcrBoNRoSIkwcLOrEJZ3F++HwWujfzRKrpk4Aj4vNq55hSNQQ+lr7dnaP2kRUSBSz+83mzW1vkleV19ndEeKYSYClkyRYTVw6sY9fu0Gn4faZg3jrl0wATHott88axPAkKxP7+t+4RZgN/GbGQAbGh5EeG+q3PTkihEn9Y/h5r/oy2i/GwslN3KA0R1y4iUfOH4Fe63+3dP0J/TrkAi1EVxUXbuKK49L82g06DQ/NGUFMWPtPwT6aAXGhTB0Y69cebtJz1ymDmwzYHk1CuIl/nDPCp83jgW3ZZVw3pZ/f/jqthgfOyWhW4u3wEAM3TR9AlMU/GDMqNYKM5G70JFIAEB9u4pzRSRwurUGv1TAq1f//YZTFwNmjk/lqSw4D4sLoE2Vhe47vVPLfTB9IjFx7hGiV3DK1rDO2g65PCeEhnZsza9unoDdB6nGd14fWCEvAZk0mPXcHp/Y7tbN706ZO63caRq2RFza+0NldEeKYabze3jefury8nIiICMrKyrBaO++JV2GlnVX7inh+6V4KK+1M6hfNjdPS+XpLDrvzq4gO1XPTiQPpG2NBr9OSV27j6625zPv5ANUON6dmJHDdCf1Ji7ag0WjILq3hk3WH+G6HWsc+ZUAMs4cnMn/lfkqqXWQkW7lwfCp9Y/wDMS1lc7o5UFjFf77fzbrMEuLDQ7ht5kAm9I3qEjeQonvqKmPzWBVW2vl1fzHPLdlDUaWDCf2iuH3mIPrHWrrMDIu8chvfb8/ntRX7qbS5OHlYPDdOSyct2oI2QPC0JSpsTnblVbBw/WEGJYaxK7eS00cmkxZtZkNWKS8t20duuY2RKRH8buYg+sWGNnvWjMfjYX9RNfNWHGDToVJ0Wg2zMxI5Y2TSMVdHE8G159g8XFrNyr1FfL4xm+tP6M+W7HLWHihGq4GUSAsXTkxlyfZ8QgxaLhyXSoXdxb8X7yS7rAazQccN09IZlxbZIfkjhOiKjnV8rthTyBWvrOKpi8eQGNH6Gc7N9faqg6zPLGXFvTPb/bMC+t90MIbCjPs65/OPwcovf8uIokPsuH4R6Dt/Rmxb+ubAN3yw6wM+OfcT0iPSO7s7QrSaBFg68CbO7XaTWVLDwaJqcsttDE4IJz7chMWox+n2YNJBSbWLPQWVFFc5yUi2Eh6iZ1deBaXVTsamRRKi11JQ6cDt8ZJgNeF0e9mWU47d6WFi3yicHi/bc8pxe71kJFvRaTVsyCpFq9GQkWzFoNOw9mApBp2WkSkRuDweduRUYDbqSI8NxeP1si6zlEizgSGJ4VTYXGzNKSfKYmBgXBjJkSGYDPVPt6vsLirtLow6LV6vl8OlNewrrCLRGkJatIUkKZkqWqCnBFhqFVc5cLo9hJv0WI5hVsix8Hq95JTZOFhURX6FnYHxYSRaQzDqNJTZXBRW2nF5vMSGGjHqtRh0WspqnGzNLsft8TIyJYIIsx6Hy0ul3cWmw2WEmfQMSQwn0qwHNORX2NmVV0FcmIm+saEkWUPILKkmr8zG/qIq0qIsJEWGkBZlJrvMRlmNE5vTQ7jZQKhRS4zFRG6Fjd15lZTWOBmZEkG0xYjJoKGo0snW7DJcR/oSHWrEoNOSX2Fjy+FyLEYdQ5PCSQgPwRSkRG9BhY3sUhsHiqpIjjTTJ8oS9CbC5faQV25nT0EFZdVOhiZZiQszEdUBuQm6smMZmyVVDgoq7OzILSfCopaYJlpDyC6tIaukBrNeS1SYkYNF1YSbdESGmtiRU4Hd5SYj2UpptZOCSjtDEsLJKbNR43QzMC4Ml9tNUZWT/rGhxIWbyKuwc6CwisJKO4MTwkmwmiToInqFY712frA6iz8u2MT86ydh0LX/5PYlO/J5+ad9bP/HaR1fWr00E54eCSfeA/2nd+xnH6M9pXt4c/kDPFBUws4z/0V5nwmd3aU25fQ4+fPyPzM6bjRPn/R0Z3dHiFbrnG/8vZDb7WZzdgU3vLGaoqr6ij9j+0Tyn0vHEG0xsv5QKbe+tY5Ke3354xlD4rhgXCo/7MjH6fbwwOfbsLs8XDAuheHJVv711Q6cbi9PXjyar7fn8a+vdtQli9Rq4MZp6Rj1Wp79YQ86rYZ7Th1MSoSZwko7zy3Zw4dr66uJGHVa7j9rOKv2F3HrjAE8uGgb3zWo6hBq1PH8leOY1C8as1H96oSa9ISa9GSX1nDLm2vYdLi8bv+4cBNv3XAcQxK7d4ZzIVqrIxIGNsXj8bI1p5yrX11FSYPqRf+cM4KYMCN3vr/BJ+Ht+WNTuPy4NC556Ref88j3f5jOc0v28NHa+go+YSYdH906hX98vo0Ve+vzYUSYDbx27QRe+nEvX2+rP3+kRpl59ZqJ3PHeenbk1i/vGNMnkqcvGcOl//uFvAZldh+ak4HbA/9YtA1Xg77cNnMgwxKt3Pr2urp9jTotT148mpnD4rEYfS9rWcXV3DBvNbvy6ks7J0eE8OYNxzEg3jeXlMPtZs2BEubOW0OVoz4R+ekjEnnw3Aziwtv/yW5Pk19h4+8Lt/qUX06PDeW/l4/lpvlruXhCCselx3Lusyv43ayBRFpM/OnlX30S3l48oQ9DE8O5870N/P6UweSU1nDnext49vKxuNwe7v5wA78/ZQg3zFtDWU397/nUgTE8flHHPJEXojs7VFpTF7zuCClRZrzAvoIqhid38MOU7Z+DzgipEzv2c4+RFy8f7foImzUZu01H9N6lPS7AYtAamDNwDq9sfoWNBRsZHTe6s7skRKtIDpYOkllcw/WNgisA67NKefzrXeRX2rlx3hqf4ArA0p0FbMgq5aYT+/OXT7dgd3kw6bWcMTKJfyzajtPtJckaQkqkmX9+sd2nEofHCy8t20f6kad7bo+Xf321kz7RFrQafIIroKo0/HXhFq6Z0o+vt+b6BFcAqhxu5s5bS3aZbwnWCpuTBz7f6hNcASiosHP1a6vIKatp9b+bEKL1csttXNUouKLVwti0KH77znq/akIfrz/Myn1FjEqpz4Nxy/R0ft5T5BNcAZg5NIFXl+/3Ca4AlNU4ufa11cwZl+rTfqikhtveWccljXJPbcgq5bGvd/DH04bUtYWZ9MSFh/C3hVvrgiugzmnPfL+Haqeb+PD6mQkOt4fb31vP4RLfc01ptYN7PtroE1wBVS3jhnmryW9UTjq31M61r632Ca4AfLUllw9WH8ItJaBbxO3x8uGaQz7BFYDrp/bntnfWc7i0hjNHJXP9G6txeTxM6h/DPR9t9Ksm9MGaLDQa6BcbymNf72Ta4Di0GrjlrbWkx4Vx9ZT+XPv6ap/gCsDyPUW88OMeqS4kxFEcKq4mLrzjZnulRqnZzbs6o7T6toWQNAYM3WtJ6br89ews2cWJfaZTkTyGqH3L0LgcR39jN3N80vH0Ce/Dk2uepBcushA9hARYOsiBomqKqwKfCHfmlbP6QHHQUswfrsnC5vTUlT+dMSSexVvqv7D+duYA5q08EPSzP1p7iHNG11cNOVhcXZdEtzGvF77ZmsfuRjcktRxuD8t3F/q0FVU6+GZb4KzfeeV2skttAbcJIdrX3oJKSqt9bzovnZjG11tzg5ZFfndVJuc3CI6cPTqZl3/a57ff7IwEFm7IDniMCruLkiqnTxAEYHd+ZcA8KYu35jG0QQWY2RkJfLbhsN9+tT5ac8ivEpLXq27EGyqqctRVnmnsQFE1BZV2n7blewqClgp+efk+v/1F0woqbH6/OxqNSvK+v7CK00cksulQGdUONzdM7c+CtYeClgh/79cszh+rqul9vjGb2RmJON1eftiRT99oi9/DiVrvr86ioEKuQUI05WBxdYcluAWwGPXEhhnZnlt+9J3bUkUeZK2CtMkd+7nHyOa28972d0mPSCc9Ip2y1PHoHdVEHVjR2V1rc1qNlosGX8S6/HUsyVrS2d0RolUkwNJBmprFYTUbOFhUHXR7uc3lczMUHWogt8GT1+hQU10G+EDyym1EWeqXKhh0GvLKg++fWVyFqYlEnJnFvpnfbU530C/FoBJ+CiE6Xk6A4GZypJmskuDnm9xym0+VHr1O63O+qaXVaIIGhUEtDWl43qllc7jRNUqi6/Z4sTeYTRNlMZJbFvy8kVse+NgHi6pxNgiQ1DSaidJY4xkPmcXB/11Kq5243PI0rSVcbq9fgM+k11JuU8GQQfFhZB35N0+wmv1mRzaUW26ry4OTW2arW36XWVyNyRD8q4zN6Wny91QIocZRgrVj8xX1jQ5lW3YHB1h2fA4aLfTpXtWDPt79MWWOMk5Om4UGcIbFUR3dn9jtX3Z219pFRkwGGTEZPLn2SZwe59HfIEQXIwGWDtJUHpLiKgfjApRgrtU3xuJzQ7KvoIoRDcqR7sytYHSfyKDvz0iOYF9h/YwUt9vLiJTg5UyP6x+D3RX8xmRC32if12EheizG4AGZvlLZQ4hOEei8s+ZAMZP6RQfYWxmREsHeBuUzq+1un/NNrSq7i7gmnngOiAsju9Q3sKzRqLxNjWfPhJv0GHSNznEpwdflj0i2sq/Af5bdCQNjfXIIWM0Gn+M2lmD1zc0xsYl/lwFxoR2fjLGbCzHoGBDnW7XO5vQQfSQ4tmRnft21a+OhUsanBb8OZiRb2Vegfi8zUiLYe+T//8R+UVTUBP8CrhLJy/83IYKpdrgoqLCT0ME5pvrFhrL5UFnHLgPZthCSRkFI90miv6VoK98e/JapKVOJCqk/R5amHU/E4fWElASekd6daTQaLhp8EZnlmXyw84PO7o4QLSYBlg4SHx7CqNTAQY0LxqUyOD6cPtGBK+7cfGI6oKl7qrxqfzHHpUcTfqQqyQs/7uXiCX0ICfAUz6DTcMG4FL7YlAOop4dDkqxcM6UfmgD3HZEWA8OTrZw5KilgX1IizX4JyeLDTdw8fUDA/SenRxPfwU9FhBBKcqSZkY0CFUt3FjC6T2TQ4Mjcael8sLp+qc2/F+/g7lMH++33wZosbpzWP+AxBieEUWFzUdFo2cZpGYn83ChnC8DcE9P5tsEywx935XPysATMAQIaBp2GC8en8sXmHJ/2CLOBmUPjfdriwo1cPblfwD7OzkggplES4uHJVlKCVD770xnDiO3AHAU9QWy4iT+dMcyvfc3BEmYOjWfz4XL6RFlIjw3lwzWHmDE0jogA5bo1Grh2Sj8+WpuF2aBj1tB4lu0qINEawujUSLblVjCoUcLiWnefOsQvkCaEqHegUM0i6+hk0APjQymtcTY5g7tNVRXBgeXdanlQQU0B/9v4P/pb+zEh0Tcpb0XyaFymcBI2f9xJvWtfadY0pqZM5fkNz1NqK+3s7gjRIhJg6SB9oi3897KxnDEisW42ijVEzz2nDuGcMcmkxVh449pJnDgoti7wERtm5MFzMthXWMVfPt3MM5eNrXvC9+jinTx7xVhGpkTgcHmYt2I/b91wHMOS6p9YD4gL5dnLxvHK8v3YXR6GJITz5g2TeGPFfhZtzOapi8fUJRoDVdHomUvH8pdPt+D1ePn3BSN9bsJOGBjD/Osn0TfG94mkUa/jyuPSuOfUwYQdCfrotRrOH5fCU5eMlTKZQnSSuHAT/7tqAmeOTKJ2EpzVrGd/YSVv33gck/rXz9hItIbw3OVjGRAXWjeOgf9v787joqr6P4B/Zh9gBhBkldUVEAUUNXAB0zDr5aNZaVpqaSapRVlPVPoY7vpYPppraIlmLpWa2s9KWsQNFxA3RFABMUSRfZ9hZs7vD3N02GQb7jDzfb9evF7Onbt87/V+z71z7j3nILdUAXuZBJte6wPnx27A1RrgGR8HLB7jC+t/Kn/5PGBET0dETwrE34UV2kpfiZCPCf1d8clzXrhXUqlTBn4Y1h2j/Z1xLrNQu+6Osgedcu+cXrtM2z61P+QSoU5/AQFu1vghPEinPAMAM5EQb4d2weyhXbSVNWIBHxP7u2HRaF9Y12hm5GRlhl1vDcDgbh0fHUOZBGvG+zf4dgupXz8PG6x5xV+nA82rd4rx2SgfjA90wSf7LmPLlEAM7WGHlb9ew45p/RHw2BuZLh3M8PnLfjhw4Q6crMzw5QR/rIpNwwBPW3w7rT82n8jAxawibJkSiBE9HbTnubW5CEvG+OIZbwfw6nqaQAgBAGT888ZiW1ewdLOXgwfgbGbd/WS1upSDABjgFtw222uhYmUJViWugkggxKguo8CHbjnGBEIUeA5Cx2u/QlSWV89a2rex3caiWlONdRfWcR0KIU3CYybYRXNJSQmsrKxQXFwMS0v9viZYWa3C/VIlqqrVkIuFEAl5KKyoRlW1GhYSIZyspNohjwHgbnElSipVqFKpIZcKYWUmQl6pEkq1BtbmQvDAQ0mVCiq1RtsG/WEfLR0sRNBoHozqo2EPnugK+UBBeTV4PMBSKoJQwENemRICPg825iKAx0NxZTWEAh6szUQoV6hRXFkNkYAPO7kYpVUqlFSpIBHy0cFc3GAv89VqDXJLqlCuVEMq4qOjhQTmEhoJnDReW+amKSmrqkZ+uRIKlQYyiRAOcgkEAj7+LqhAuVIFpUoDmVQItw5mEAgEyMov1759IpMItZWqmXllKK1SQSTkQyYWwsXGHGq1BvdKFShTPCgnbGViyCQiFFYokV+mRKVSBTOxEDYWQthYSJFXWlVnGZjzT9mnVKshlwjh+k8sd4oqUVxZDQ1jsDITwaXDgyaH90qqHpRdfB46WIjr7JPlIaVKjdwSBcqVapiJBbCTiWEmFqJCqUJe2YPy2UIshL2lBCIBHyWV1SgoV0Kp0kBuJoSjpdTkf6S3JDcZY7hbUvXg3BHwIBbwUVmthkwiRJlCDbVaDQupEBVKDXiMQSISoFyphlrDIJMIoNYwKNUamIuFqKp+0HzVQiKARqMBeHx0lElgLhairEqF/HLFo/PcUlqrvx9CjFFL8nPtH9fx1bF0bJ7c9kP+zt1/Gb1crLDmlQD9byxmFKAoAcIW639bLVRQVYAvEr5AibIUE70m6DQNehy/ugqd/1yGgi6huBXyfhtH2TZ+y/wNP6T9gF3P74KPrQ/X4RDSKPTrV4/uFlfhf7Gp2JeUjWo1g0wiRHhIZ0zo7wbbel7Pd7Qyg2ONlkQP3wC5kVuGj/ddREJmIbyd5Ph4pBdWHUnDxb+LAQAetuZYMLonAlw7wPKx16ydrB90RHvxdhE+3ndZ+7Sit4sVVrzYGz0c5OD/cxNqYwG41rHtxhAJ+OjUgfpbIcTQyKQiyKS6TS/S7pVi/oEr2lF2nK2kmPu8N7yd5Jj5XRKu3X0wfGZ3BxlWvNgbPTtZwqNj7WYYAgEfznU0q+lgXnelR0e5FB1rtPXPzCvHfw5cwfF/RihztJTis1E+GNitI5ytzepcv4OltNFNP8RCAVxq9AV1t7gSnx9Jw4ELD8pnuUSImUO74OVAV3SUSXTKUNIyPB4PTlZmEAsU+D7hNjb8dROligeVLaP9O+GDsO5wsjKDRqNB6t0yRO65gPNZRQAAVxszvD+8O2Kv3kNWQQUWj/GFj5McElHt2xeZVAiZlG5rCGmKG/fL0KlD3U0j9a23izX+Ss1FtVqj039WqyvJATKPA8Hv6G8breRG0Q2su7AeYAyveL1Sb+UKAGhEUuR3HQb7lEPI9R2NStvObRhp2xjmNgyn7pzCwviF+O657yDgU59axPBREyE9KShX4qMfL2JPwt+o/mfkiTKFCp8fScP2+FtQVDc8ukVNfxdWYNxX8Uj45zX6yGe9MPu7JG3lCvBg2NGpMQnIzC+vtXxmXjkmbjmjrVwBgEt/F+PlTfH4u7D+EY4IIcYnM68cr245ozOE8Z3iKszamYS/Cyth9lh/Tmn3yjD+q9O4na+fcuJOUSVeiT6trVwBHowY8/Z353HpdpFetllQrsAH31/Ej4mPyudShQorfk3F7rNZUDbQyTdpHqVKjV1ns7Di11Tt21HVaoYfE//GB99fREG5Apn5FXhl82lt5QoA3C6oxAc/XMQLAZ1wp6gSr245g9t0zSKk1aTdK6237yl96+9pg+LKapy4rucmLpe/BwQiwN1wmwepmAoHbx7C8rPLIRfJMclnEmylT26aWugZDKXMHh5HvwA0xnftEvKFmOQzCVfzr2LntZ1ch0NIo1AFi57klSpwrJ4LRvSxdOSWNm3o4uPX81BQrgTw4IJ0NqOgVgeSwIPhTr/84zoKyh+tv1yhwpd/Xq81cgfwoNLnwIVsaOr4jhBinM5mFuB+PWXQF0fSEDFct1NbpVqDb05kNDi6WHNd/LuozmGgAWDJ4RTk62GY99wSBU7W0dkuAGw8erPJ5TN5stxSBTYcvVnnd6du5qOkshq/p9yrNXQ2ADAGbIvPxIt9XVChVGPPub+b/JCCEFKbSq3BzdxyuHL0BouHrTncbc2xPT5TfxthDEjaAbg+BYjr7gybazeKbmBB/EIcuPkT+jsNwCte42EhsnjyggDAFyKn98uwyEuDc+IO/QbKka7WXfG029NYc34NbpXc4jocQp6IKlj0JKuw/l7RK6vVKK2qXTlSH42G4Vjafe3nLnYWuJxdXO/8l/4u1ll/mUKFC489EawpPj0flXSzSojJOJ1ed+UCAFzOLq6zr6WEW4Uoa0K51ehY6qnoAICUnFIoVJpW32ZmA6NWlCubVj6TxilTqFChrP86U1Ch1OnouKYr2SXoYvfgx1FSViFKquofmpkQ0jg375dDqdbAzbaRP+ZbGY/Hw/O9nPBX6n2caeC61CK3zwB5aUC3Z/Sz/hYoVpbg68vfYMmZpVBpVJjkPQlDOg2GgNe0ZjBVNh7I6z4Czok7YJ1xUk/Rcuulbi/BWmKNj499jGoNlf/EsFEFi57UHP7zcTweYCZufOHJ5/PQ2e7Rxa+gvBqODfQ94GAphfixtqwSIb/BvgpcO5hDIqRTgRBT4WZTf19JDpZSVNbxQ9jRSgJJHUPBt5RHx/pv7G0txBDooXNZO/kTyuc6hocmLSMVCtDQf6VMLKyzr52HHCwlKKp48Bano5UU5k24hhJC6nYl+1EfflwZ2LUjvBzleGdXElJySlp/A2ejActOgJNf66+7mdRMjdis3/HJ8Y+RmJuIMPcwTPKZBEcLx2avM7/b0yh16oUuvy+BPPtC6wVrICRCCd7s9SauFlzFuiQaVYgYNvpVrSdOVmZwqmfIu6Hd7RqsgKnL2AAX7fCTR1NzMcK3/kL4rSGd4fTYjaq1uRizn+5a7/yTg90h1GfnYoQQg/J8L6d6R1d5Y6AHfky4XWv6zNCukElav+PXp73sIawnlvCQLg2OXNZcnazN4WBZ93qf8XaAraxp5TN5MluZGM94O9T5nb1cArmZCOMDXeqthJnQ3w37zmcDAF4f6AELPZyLhJiaC7eL0MnaDOZi7jqH5vN4iBjWDVKRAM+tOY5nVx/Dm9vOYdWRVNwuqP9tw0YpygKSfwK8ngd4hnGfe6PoBqLiF2BXyi706OCF6b3eRIC9f61hmJuMx0dOwARU2Hig++FPYXXrdOsEbEC6WHfBS91ewjdXvsHvt37nOhxC6mUYpY0RcrSSIuaN/rCv8ePAx0mORWN8mzxChZO1FOsn9oFEyIdCpcFvV+5i3vPeEAkeFcg8HjAl2B2B7rV7HA9ws8bbIZ11bl6FfB5WvNirwafZhBDj42ApxbqJAbXeXPuXnxOGeTng+8S/tdP4POCjET3Qw1Gul1icrKT4eko/SGu8HTPKzwljAjppRzhrTY5WUmyb2h92NUZz8+1kiah/9YRcSj/eW5tcKkLUv3rCt5PuELJ2Mgm2T+3/z0MJM3z+kp/OG5gA8HJfFwBAel455j3vDQ8bbpozEGJszmUWoKs99/2SWJuLsXiML2aEdIGztRnyypT45mQmhq+Kw8GLd5q/4pNfAmILoCv3zYPKqssRkxyDJWeWQq1RY5LPJIzwCIOZsPX6v2ECEbL7vYFyu+7o9ut8OFza96APGiMywmMEAh0C8cnxT5Ccl8x1OITUiccY95m3YcMGrFy5Ejk5OejZsydWr16NwYMH1zt/XFwc5syZg+TkZDg7O+Ojjz5CeHh4o7dXUlICKysrFBcXw9LS8skLtEBOUSWyCiqQXVSJrnYyOFlLYSdv3NCiNSmq1cgtVSD1binKlSr4uVhBzYDk7GJUqTTwd7WGjbkYHet54ltaVY28MiWuZBdDJODBx9kKdjIxzDh8ckHI49oyN01dhaIa90oUuHa3FCVV1ejt8qD8kEmFyCtTIPlOCRhj6OlshY5yCWQS/ZUTSrUauSUKXL9XhuLKavR0toSdXALrOoZ5bk05RZW4lV+BO8WV6Govg5OVmV7emDEGrZWb90sVyCmuxI3cMjhbmcHd1lznjcvSqmrcL1Xgak4JqpRq+LpYobiyGjlFVfDtZIWOMrHezwtC2pvm5GdBuRJ9FsUiPKQLQrrb6TnCpquqVuPrExk4dTMPX00KxDM+db8BV6+CdGBdf8B/ItDrZf0E2QgMDKfuxGPPtT1QapQY4jIE/q3xxkqDG9XA/urPsEk/hvyuQ5E55D1oxMZTMa1QK/D5uc+RX5WPmGdj0MW6C9chEaKD8wqWPXv2YNKkSdiwYQMGDhyIr776Clu2bMHVq1fh5uZWa/6MjAz4+vpi+vTpmDFjBk6ePImZM2di165dePHFFxu1TfoRR4hhotwkxDBRbhJiuJqTn/uT/sb7ey5i/cQ+sGlis/W2omEMa36/jit3ivHzO4PQ2a6Rb9swBuwcB9xJAsZsBITNe7DZUlmlt/Fdyg6kFV6Ht40XnnZ7GjJR270xJM++AMdLP6DarAMyhn2CMseebbZtfStTlmFlwkqUVZdh0/BN8LH14TokQrQ4r2AZMGAA+vTpg40bN2qneXt7Y8yYMVi2bFmt+SMjI3Hw4EGkpKRop4WHh+PixYuIj49v1DbpRpEQw0S5SYhhotwkxHA1Jz/f3HYOmfkVWDTaV8/RtUylUo15P12GpZkIP80aCGljOiFP3AYcehcYOg9we0r/QdZQUFWAgzcP4nj2cdhIbDDMfRg8LD3aPA4AEJXnwSlpN8yKbuFerxeR3W8KNCJuhuVubaXKUqw+vxp3y+9i4cCFeNbjWa5DIgQAx32wKJVKJCYmIiwsTGd6WFgYTp06Vecy8fHxteYfMWIEEhISUF1Nw3YRQgghhBBSnztFlfjr2n0M7tqR61CeyEwswLvDuuHm/TLMP3AFT3wunHEMOPwh0P3ZNq9cuVeRi+1XtyPy+Mc4dy8BQ12fxuu+r3NWuQIA1RYdkRX8Nu57PQf7Kwfgu3sqbK7/CTANZzG1FrlYjo8CP0Kvjr3w77h/49PjnyK/Uk/DfRPSBJx2vpGXlwe1Wg0HB912lQ4ODrh7926dy9y9e7fO+VUqFfLy8uDk5FRrGYVCAYVCof1cUqKHYeAIIU1GuUmIYaLcJMRwtTQ/V8WmwlwswOBuhtf3Sl3cbS3w5qDO2Bh3E46WUrz/THfwag45xhhwcRfw83uAgy/Qf0abxFZWXY6L9y8i/k48kvOTYS4yR5BTEPo69IVEYCBNr/gCFHQdilKn3rC/eghd/lgKp6RduOs/HgWdh4AJDSTOZpAIJZjRewZ8O/piT+oe/JH1ByZ4TcC4HuPgLHPmOjxiogyid9OahSRjrHbB+YT565r+0LJly7BgwYIWRkkIaW2Um4QYJspNQgxXc/NTpdbgq2Pp+DExG28N7gwzcSOa2xiIId3tUFShxJd/3sCN+2WIfNYL7rYWQEUBcPNP4Oxm4PZpoMswIGgWIGj90eAqVZW4X3kfd8pycKvkFq4XpSGzOBNqpoGr3AUjPUfC28YbIr5B/LyqpdrCFtn9XodZfgZsr/+Ozn8uh9uJtSjyCEaJS1+U2XtBYekE8NvPeQE8+P03qNMg+Nv543DGYey8thPfXPkGve16Y6DzQPS2640u1l1gb24PvoEM102MG6d9sCiVSpibm+OHH37ACy+8oJ0eERGBCxcuIC4urtYyQ4YMQUBAANasWaOdtn//fowbNw4VFRUQiWoXqDVr+ouLi+Hm5obbt29TW3JC9EAulzdYSfoQ5SYhbYtykxDD1NjcBJqfnzN2XUZ8RhEAYGDnDmjk5gzKuVvFUKgeNW+RowI/if+DLvwcaKQdoHb0b9Z6lRolrhZeRaWqssnLyoQyCA20UqUhNsoKuFQ++e2nVLkd1noNgkIPlVb6oFArcDH/IjRPaAblZ+uH/w38HySCJ48e2JT8JITT0kAsFqNv376IjY3VqWCJjY3F6NGj61wmKCgIhw4d0pl25MgRBAYG1lm5AgASiQQSyaPkefgqpaura0t3gRBSh8Z2tEe5SUjbotwkxDDl5ubCzq5xTXaam59Wg16FzHcY1OUF+PNO82PlGk8ogdjeEwCggBBZ5QLcL1YBuA/ciG3eOkV8SF0kkPCf/CNao9TU6MKkCOpmbZVb9wHc/+enoDU08OTVXSFhVpKP02fiUMht153NJrYTQ2hZ+yfv6fOn4fCiA5jyye8aUAfvpCk4H0Xo4TDNmzZtQlBQEKKjo7F582YkJyfD3d0dn3zyCbKzs7F9+3YAj4ZpnjFjBqZPn474+HiEh4c3aZhmjUaDO3futKg2sqSkBK6urvQ0rxno2DVPezpuzc2t1sjN1tKejndLmMp+Aqazrw3tpzHkZmOZwv837WP793D/ioqKYGVl1ax1NDU/jf2YNgUdi0foWDxS81i0p2sf4R7n77ONHz8e+fn5WLhwIXJycuDr64vDhw/D3d0dAJCTk4OsrCzt/J6enjh8+DDef/99rF+/Hs7Ozvjyyy8bXbkCAHw+Hy4uLq0Sv6WlpckXQs1Fx655jPm4tWZuthZjPt6PM5X9BExnX1tzPw0xNxvLFP6/aR/bv5b8eGtufhr7MW0KOhaP0LF4hI4FaQ7OK1gAYObMmZg5c2ad38XExNSaFhISgvPnz+s5KkIIIYQQQgghhJDGaZ+N6QghhBBCCCGEEEIMCFWwNJNEIsFnn32m08kYaRw6ds1Dx61tmcrxNpX9BExnX01lP5/EFI4D7WP7x8X+GfsxbQo6Fo/QsXiEjgVpCc47uSWEEEIIIYQQQghp7+gNFkIIIYQQQgghhJAWogoWQgghhBBCCCGEkBaiChZCCCGEEEIIIYSQFqIKlhZYtmwZeDwe3nvvPa5DaReys7Px2muvwdbWFubm5vD390diYiLXYRk8lUqFefPmwdPTE2ZmZujcuTMWLlwIjUbDdWhGZ9myZejXrx/kcjns7e0xZswYpKamch2WXmzcuBG9e/eGpaUlLC0tERQUhF9++YXrsPTOmMvtqKgo8Hg8nT9HR0euw2pzppTHgPGe08Z+z8DltX3Dhg3w9PSEVCpF3759cfz4cb1v09AcO3YMo0aNgrOzM3g8Hn766SeuQ+KMqZWZDTHVeyPSuqiCpZnOnTuH6Oho9O7dm+tQ2oXCwkIMHDgQIpEIv/zyC65evYovvvgC1tbWXIdm8FasWIFNmzZh3bp1SElJwX//+1+sXLkSa9eu5To0oxMXF4dZs2bh9OnTiI2NhUqlQlhYGMrLy7kOrdW5uLhg+fLlSEhIQEJCAp5++mmMHj0aycnJXIemN6ZQbvfs2RM5OTnav8uXL3MdUpszpTw21nPaFO4ZuLq279mzB++99x7mzp2LpKQkDB48GCNHjkRWVpZet2toysvL4efnh3Xr1nEdCudMqcx8ElO8NyJ6wEiTlZaWsm7durHY2FgWEhLCIiIiuA7J4EVGRrJBgwZxHUa79Pzzz7OpU6fqTBs7dix77bXXOIrIdOTm5jIALC4ujutQ2kSHDh3Yli1buA5DL0yh3P7ss8+Yn58f12EYHGPNY2M+p03hnoGra3v//v1ZeHi4zjQvLy/28ccf63W7hgwA279/P9dhGAxjLTOby5jvjYh+0BsszTBr1iw8//zzGD58ONehtBsHDx5EYGAgXn75Zdjb2yMgIACbN2/mOqx2YdCgQfjjjz+QlpYGALh48SJOnDiB5557juPIjF9xcTEAwMbGhuNI9EutVmP37t0oLy9HUFAQ1+HohamU29evX4ezszM8PT3xyiuvID09neuQOGeseWzM57Qp3DNwcW1XKpVITExEWFiYzvSwsDCcOnVKb9sl7YuxlplNZQr3RkQ/hFwH0N7s3r0b58+fx7lz57gOpV1JT0/Hxo0bMWfOHHz66ac4e/Ys3n33XUgkEkyePJnr8AxaZGQkiouL4eXlBYFAALVajSVLlmDChAlch2bUGGOYM2cOBg0aBF9fX67D0YvLly8jKCgIVVVVkMlk2L9/P3x8fLgOq9WZSrk9YMAAbN++Hd27d8e9e/ewePFiBAcHIzk5Gba2tlyHxwljzWNjP6dN4Z6Bi2t7Xl4e1Go1HBwcdKY7ODjg7t27etsuaT+MtcxsClO5NyL6QxUsTXD79m1ERETgyJEjkEqlXIfTrmg0GgQGBmLp0qUAgICAACQnJ2Pjxo1Gc7OkL3v27MGOHTuwc+dO9OzZExcuXMB7770HZ2dnTJkyhevwjNbs2bNx6dIlnDhxgutQ9KZHjx64cOECioqKsHfvXkyZMgVxcXFGdSNhSuX2yJEjtf/u1asXgoKC0KVLF2zbtg1z5szhMDLuGGMem8I5bQr3DFxe23k8ns5nxlitacQ0GWOZ2VSmcG9E9IzbFkrty/79+xkAJhAItH8AGI/HYwKBgKlUKq5DNFhubm5s2rRpOtM2bNjAnJ2dOYqo/XBxcWHr1q3TmbZo0SLWo0cPjiIyfrNnz2YuLi4sPT2d61Da1LBhw9hbb73FdRitytTL7eHDh9fqb8FUGGsem8I5bQr3DFxc2xUKBRMIBGzfvn0609999102ZMgQvW3X0IH6YGGMGW+Z2VLGeG9E9IveYGmCYcOG1RqR4Y033oCXlxciIyMhEAg4iszwDRw4sNaQb2lpaXB3d+coovajoqICfL5ud0kCgYCGadYDxhjeeecd7N+/H0ePHoWnpyfXIbUpxhgUCgXXYbQqUy63FQoFUlJSMHjwYK5DaVPGnsemcE6bwj0DF9d2sViMvn37IjY2Fi+88IJ2emxsLEaPHq237RLDZuxlZksZ470R0S+qYGkCuVxeqz2ihYUFbG1tTbadYmO9//77CA4OxtKlSzFu3DicPXsW0dHRiI6O5jo0gzdq1CgsWbIEbm5u6NmzJ5KSkrBq1SpMnTqV69CMzqxZs7Bz504cOHAAcrlc2ybdysoKZmZmHEfXuj799FOMHDkSrq6uKC0txe7du3H06FH8+uuvXIfWqkyp3P7www8xatQouLm5ITc3F4sXL0ZJSYnJNSU09jw2hXPaFO4ZuLq2z5kzB5MmTUJgYCCCgoIQHR2NrKwshIeH63W7hqasrAw3btzQfs7IyMCFCxdgY2MDNzc3DiNre8ZeZjaFqdwbET3j9P0ZI2BsQyPq06FDh5ivry+TSCTMy8uLRUdHcx1Su1BSUsIiIiKYm5sbk0qlrHPnzmzu3LlMoVBwHZrRAVDn39atW7kOrdVNnTqVubu7M7FYzOzs7NiwYcPYkSNHuA6rTRhruT1+/Hjm5OTERCIRc3Z2ZmPHjmXJyclch9XmTCmPHzLGc9rY7xm4vLavX79eW/736dPHJIfj/euvv+osJ6ZMmcJ1aG3OFMvM+pjyvRFpPTzGGGvD+hxCCCGEEEIIIYQQo8N/8iyEEEIIIYQQQgghpCFUwUIIIYQQQgghhBDSQlTBQgghhBBCCCGEENJCVMFCCCGEEEIIIYQQ0kJUwUIIIYQQQgghhBDSQlTBQgghhBBCCCGEENJCVMFCCCGEEEIIIYQQ0kJUwUIIIYQQQgghhBDSQlTBQjjz+uuvY8yYMY2aNzQ0FO+9955e42mso0ePgsfjoaioiOtQCNG7puRpU8TExMDa2rrBeaKiouDv79/gPJmZmeDxeLhw4UKrxUaIIWrKtacx+dWWPDw8sHr1aq7DIETv9HmPyOPx8NNPP9X7fWOvh4Z0T02IMaIKFkIaQBchQvRj/PjxSEtLa9Iy+qrsIaQtGVrlR2sy5n0jpsUQz+WcnByMHDmy0fPTA0FCuCHkOgBCCCGmx8zMDGZmZlyHQQghhLQLjo6OXIdACGkEeoPFhP3444/o1asXzMzMYGtri+HDh6O8vBwAsHXrVnh7e0MqlcLLywsbNmzQLvfwFcTdu3cjODgYUqkUPXv2xNGjR7XzqNVqTJs2DZ6enjAzM0OPHj2wZs2aVotdqVTio48+QqdOnWBhYYEBAwbobP/hk4fffvsN3t7ekMlkePbZZ5GTk6OdR6VS4d1334W1tTVsbW0RGRmJKVOmaJ+Qv/7664iLi8OaNWvA4/HA4/GQmZmpXT4xMRGBgYEwNzdHcHAwUlNTW23/CHmoveTpoUOHYG1tDY1GAwC4cOECeDwe/v3vf2vnmTFjBiZMmACg7qeDy5cvh4ODA+RyOaZNm4aqqirtd1FRUdi2bRsOHDigzcfH9yU9PR1Dhw6Fubk5/Pz8EB8f36z9IORJQkNDMXv2bMyePVt7/Zg3bx4YYwAavj4dPXoUb7zxBoqLi7XncVRUFABgx44dCAwMhFwuh6OjIyZOnIjc3NxWi/vQoUPo27cvpFIpOnfujAULFkClUmm/5/F42LJlC1544QWYm5ujW7duOHjwoM46Dh48iG7dusHMzAxDhw7Ftm3btE/IG9o3AKioqMDUqVMhl8vh5uaG6OjoVts3Qmoy9DxljMHOzg579+7VTvP394e9vb32c3x8PEQiEcrKygDUbiJ09uxZBAQEQCqVIjAwEElJSdrvMjMzMXToUABAhw4dwOPx8Prrr2u/12g0+Oijj2BjYwNHR0edXCWEtBAjJunOnTtMKBSyVatWsYyMDHbp0iW2fv16VlpayqKjo5mTkxPbu3cvS09PZ3v37mU2NjYsJiaGMcZYRkYGA8BcXFzYjz/+yK5evcrefPNNJpfLWV5eHmOMMaVSyebPn8/Onj3L0tPT2Y4dO5i5uTnbs2ePNoYpU6aw0aNHNyrekJAQFhERof08ceJEFhwczI4dO8Zu3LjBVq5cySQSCUtLS2OMMbZ161YmEonY8OHD2blz51hiYiLz9vZmEydO1K5j8eLFzMbGhu3bt4+lpKSw8PBwZmlpqY2pqKiIBQUFsenTp7OcnByWk5PDVCoV++uvvxgANmDAAHb06FGWnJzMBg8ezIKDg1vwP0JIbe0pT4uKihifz2cJCQmMMcZWr17NOnbsyPr166edp3v37mzjxo2MsQc5amVlpf1uz549TCwWs82bN7Nr166xuXPnMrlczvz8/BhjjJWWlrJx48axZ599VpuPCoVCu59eXl7s559/Zqmpqeyll15i7u7urLq6uiWHn5A6hYSEMJlMxiIiIti1a9e0eRMdHc0Ya/j6pFAo2OrVq5mlpaX2PC4tLWWMMfb111+zw4cPs5s3b7L4+Hj21FNPsZEjR2q3+/DaU1hY+MQYa+bXr7/+yiwtLVlMTAy7efMmO3LkCPPw8GBRUVHaeR6WFzt37mTXr19n7777LpPJZCw/P58x9qBMEYlE7MMPP2TXrl1ju3btYp06ddLG1NC+ubu7MxsbG7Z+/Xp2/fp1tmzZMsbn81lKSkpL/zsIqVN7yNOxY8ey2bNnM8YYKygoYCKRiFlbW7Pk5GTGGGNLly5lAwYM0M4PgO3fv58xxlhZWRmzs7Nj48ePZ1euXGGHDh1inTt3ZgBYUlISU6lUbO/evQwAS01NZTk5OayoqEh7bCwtLVlUVBRLS0tj27ZtYzwejx05cqTFx50QwhhVsJioxMREBoBlZmbW+s7V1ZXt3LlTZ9qiRYtYUFAQY+zRD7fly5drv6+urmYuLi5sxYoV9W5z5syZ7MUXX9R+bm4Fy40bNxiPx2PZ2dk68wwbNox98sknjLEHN5cA2I0bN7Tfr1+/njk4OGg/Ozg4sJUrV2o/q1Qq5ubmphNTzYodxh5dPH///XfttP/7v/9jAFhlZWWj9oeQxmhvedqnTx/2+eefM8YYGzNmDFuyZAkTi8WspKSE5eTkMADaH1Q1fwAGBQWx8PBwnfUNGDBAW8FSXywP93PLli3aacnJyTrbIqQ1hYSEMG9vb6bRaLTTIiMjmbe3d6OvT4+f+/U5e/YsA6D9YdeSCpbBgwezpUuX6szz7bffMicnJ+1nAGzevHnaz2VlZYzH47FffvlFu4++vr4665g7d65OTPXtm7u7O3vttde0nzUaDbO3t9dWuBLS2tpDnn755ZfanPrpp59YYGAgGzt2LFu/fj1jjLGwsDAWGRmpnf/xCpavvvqK2djYsPLycu33Gzdu1FawNBRLSEgIGzRokM60fv366WyLENJ81ETIRPn5+WHYsGHo1asXXn75ZWzevBmFhYW4f/8+bt++jWnTpkEmk2n/Fi9ejJs3b+qsIygoSPtvoVCIwMBApKSkaKdt2rQJgYGBsLOzg0wmw+bNm5GVldXi2M+fPw/GGLp3764TY1xcnE6M5ubm6NKli/azk5OT9jXO4uJi3Lt3D/3799d+LxAI0Ldv30bH0bt3b511A2jV17kJaW95GhoaiqNHj4IxhuPHj2P06NHw9fXFiRMn8Ndff8HBwQFeXl51LpuSkqITa83Yn4TykbSlp556CjweT/s5KCgI169fR0JCQqOuT3VJSkrC6NGj4e7uDrlcjtDQUABoletmYmIiFi5cqBPT9OnTkZOTg4qKCu18j+eRhYUF5HK5No9SU1PRr18/nfU+fg19ksfXzePx4OjoSDlK9MrQ8zQ0NBTJycnIy8tDXFwcQkNDERoairi4OKhUKpw6dQohISF1LpuSkgI/Pz+Ym5vr7F9jPZ6PgO49MiGkZaiTWxMlEAgQGxuLU6dO4ciRI1i7di3mzp2LQ4cOAQA2b96MAQMG1FrmSR5eyL7//nu8//77+OKLLxAUFAS5XI6VK1fizJkzLY5do9FAIBAgMTGxVkwymUz7b5FIVCs29k/b25rxPlTz+4Y8vv6H63nY/wQhraG95WloaCi+/vprXLx4EXw+Hz4+PggJCUFcXBwKCwvrvVFsDZSPxFA05vpUU3l5OcLCwhAWFoYdO3bAzs4OWVlZGDFiBJRKZYtj0mg0WLBgAcaOHVvrO6lUqv13XdfNh3nEGGu1a2bNdRPS1gwhT319fWFra4u4uDjExcVh4cKFcHV1xZIlS3Du3DlUVlZi0KBBdS7blNyrC+UjIfpDFSwmjMfjYeDAgRg4cCDmz58Pd3d3nDx5Ep06dUJ6ejpeffXVBpc/ffo0hgwZAuBBh7GJiYmYPXs2AOD48eMIDg7GzJkztfM/6alAYwUEBECtViM3NxeDBw9u1jqsrKzg4OCAs2fPatehVquRlJQEf39/7XxisRhqtbo1wiakWdpTng4ZMgSlpaVYvXo1QkJCwOPxEBISgmXLlqGwsBARERH1Luvt7Y3Tp09j8uTJOrE/jvKRGIqa5+bp06fRrVu3Rl2f6jqPr127hry8PCxfvhyurq4AgISEhFaLt0+fPkhNTUXXrl2bvQ4vLy8cPnxYZ1rNGClHiSEx9Dzl8XgYMmQIDhw4gCtXrmDw4MGQy+Worq7Gpk2b0KdPH8jl8jqX9fHxwbfffovKykrtiHx1XTMBUE4S0saoiZCJOnPmDJYuXYqEhARkZWVh3759uH//Pry9vREVFYVly5ZhzZo1SEtLw+XLl7F161asWrVKZx3r16/H/v37ce3aNcyaNQuFhYWYOnUqAKBr165ISEjAb7/9hrS0NPznP//BuXPnWiX27t2749VXX8XkyZOxb98+ZGRk4Ny5c1ixYkWtm7+GvPPOO1i2bBkOHDiA1NRUREREoLCwUOcJnYeHB86cOYPMzEzk5eVR7T5pU+0tT62srODv748dO3ZoX5seMmQIzp8/j7S0NO20ukREROCbb77BN998g7S0NHz22WdITk7WmcfDwwOXLl1Camoq8vLyUF1d3exYCWmJ27dvY86cOUhNTcWuXbuwdu1aRERENOr65OHhgbKyMvzxxx/Iy8tDRUUF3NzcIBaLsXbtWqSnp+PgwYNYtGhRq8U7f/58bN++HVFRUUhOTkZKSgr27NmDefPmNXodM2bMwLVr1xAZGYm0tDR8//33iImJAfDorbG69o0QrrSHPA0NDcXOnTvRu3dvWFpaaitdvvvuuwavmRMnTgSfz8e0adNw9epVHD58GJ9//rnOPO7u7uDxePj5559x//597WhEhBD9ogoWE2VpaYljx47hueeeQ/fu3TFv3jx88cUXGDlyJN58801s2bIFMTEx6NWrF0JCQhATEwNPT0+ddSxfvhwrVqyAn58fjh8/jgMHDqBjx44AgPDwcIwdOxbjx4/HgAEDkJ+fr/OUvKW2bt2KyZMn44MPPkCPHj3wr3/9C2fOnNE+UWiMyMhITJgwAZMnT0ZQUBBkMhlGjBih87r0hx9+CIFAAB8fH+2roIS0lfaYp0OHDoVardbeGHbo0EGbP97e3vUuN378eMyfPx+RkZHo27cvbt26hbfffltnnunTp6NHjx7aPmNOnjzZolgJaa7JkyejsrIS/fv3x6xZs/DOO+/grbfeAvDk61NwcDDCw8Mxfvx42NnZ4b///S/s7OwQExODH374AT4+Pli+fHmtH0stMWLECPz888+IjY1Fv3798NRTT2HVqlVwd3dv9Do8PT3x448/Yt++fejduzc2btyIuXPnAgAkEkm9+0YIV9pDnta8ZgJASEgI1Gp1g81qZTIZDh06hKtXryIgIABz587FihUrdObp1KkTFixYgI8//hgODg7at1cJIfrFYy1txEdMTmZmJjw9PWs1p2nvNBoNvL29MW7cuFZ9ckgIF4w1TwnhWmhoKPz9/bF69WquQ+HckiVLsGnTJty+fZvrUAjRQXlKCOEK9cFCTNatW7dw5MgRhISEQKFQYN26dcjIyMDEiRO5Do0QQggxOBs2bEC/fv1ga2uLkydPYuXKlfRUnBBCCHkMNREinMvKytIZJq/mn76a5fD5fMTExKBfv34YOHAgLl++jN9//73BZgyEmCqu8pQQUtvIkSPrzcWlS5fqbbvXr1/H6NGj4ePjg0WLFuGDDz5AVFSU3rZHSHvGVZ4SQrhFTYQI51QqFTIzM+v93sPDA0IhvWxFCJcoTwkxHNnZ2aisrKzzOxsbG9jY2LRxRISQmihPCTFNVMFCCCGEEEIIIYQQ0kLURIgQQgghhBBCCCGkhaiChRBCCCGEEEIIIaSFqIKFEEIIIYQQQgghpIWogoUQQgghhBBCCCGkhaiChRBCCCGEEEIIIaSFqIKFEEIIIYQQQgghpIWogoUQQgghhBBCCCGkhaiChRBCCCGEEEIIIaSF/h9Hzclez/e+5gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1117.75x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(iris_data,hue=\"species\")#virginica and versicolor species show a similar pattern unlike setosa, with respect to petal_length,petal_width,sepal_length,sepal_width and all the patterns show positive correlation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "ee76dc12",
   "metadata": {},
   "outputs": [],
   "source": [
    "iris_data[\"species_new\"]=le.fit_transform(iris_data[\"species\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "91a07761",
   "metadata": {},
   "outputs": [],
   "source": [
    "iris_data.drop(\"species\",axis=1,inplace=True)#dropping the species column permanently from the iris_data data set.axis=1 denotes columns and axis=0 denotes rows,inplace=True is for permanent deletion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "eb1ea314",
   "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>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species_new</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width  species_new\n",
       "0             5.1          3.5           1.4          0.2            0\n",
       "1             4.9          3.0           1.4          0.2            0\n",
       "2             4.7          3.2           1.3          0.2            0\n",
       "3             4.6          3.1           1.5          0.2            0\n",
       "4             5.0          3.6           1.4          0.2            0\n",
       "..            ...          ...           ...          ...          ...\n",
       "145           6.7          3.0           5.2          2.3            2\n",
       "146           6.3          2.5           5.0          1.9            2\n",
       "147           6.5          3.0           5.2          2.0            2\n",
       "148           6.2          3.4           5.4          2.3            2\n",
       "149           5.9          3.0           5.1          1.8            2\n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "9d80eb47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['sepal_length', 'sepal_width', 'petal_length', 'petal_width',\n",
       "       'species_new'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "28a7155d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#dividing the data set into x and y.\n",
    "x=iris_data.drop('species_new',axis=1)\n",
    "y=iris_data['species_new']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "ea2fd9e2",
   "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>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>0.067797</td>\n",
       "      <td>0.041667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.416667</td>\n",
       "      <td>0.067797</td>\n",
       "      <td>0.041667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.050847</td>\n",
       "      <td>0.041667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.458333</td>\n",
       "      <td>0.084746</td>\n",
       "      <td>0.041667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.194444</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.067797</td>\n",
       "      <td>0.041667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.416667</td>\n",
       "      <td>0.711864</td>\n",
       "      <td>0.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>0.555556</td>\n",
       "      <td>0.208333</td>\n",
       "      <td>0.677966</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>0.611111</td>\n",
       "      <td>0.416667</td>\n",
       "      <td>0.711864</td>\n",
       "      <td>0.791667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>0.527778</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>0.745763</td>\n",
       "      <td>0.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>0.444444</td>\n",
       "      <td>0.416667</td>\n",
       "      <td>0.694915</td>\n",
       "      <td>0.708333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width\n",
       "0        0.222222     0.625000      0.067797     0.041667\n",
       "1        0.166667     0.416667      0.067797     0.041667\n",
       "2        0.111111     0.500000      0.050847     0.041667\n",
       "3        0.083333     0.458333      0.084746     0.041667\n",
       "4        0.194444     0.666667      0.067797     0.041667\n",
       "..            ...          ...           ...          ...\n",
       "145      0.666667     0.416667      0.711864     0.916667\n",
       "146      0.555556     0.208333      0.677966     0.750000\n",
       "147      0.611111     0.416667      0.711864     0.791667\n",
       "148      0.527778     0.583333      0.745763     0.916667\n",
       "149      0.444444     0.416667      0.694915     0.708333\n",
       "\n",
       "[150 rows x 4 columns]"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaler=MinMaxScaler()#saving the instance\n",
    "scaled_data=scaler.fit_transform(x)\n",
    "scaled_data=pd.DataFrame(scaled_data,columns=x.columns)\n",
    "scaled_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "a8db4b99",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test=train_test_split(scaled_data,y,test_size=0.2,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "964b9082",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(     sepal_length  sepal_width  petal_length  petal_width\n",
       " 137      0.583333     0.458333      0.762712     0.708333\n",
       " 84       0.305556     0.416667      0.593220     0.583333\n",
       " 27       0.250000     0.625000      0.084746     0.041667\n",
       " 127      0.500000     0.416667      0.661017     0.708333\n",
       " 132      0.583333     0.333333      0.779661     0.875000\n",
       " ..            ...          ...           ...          ...\n",
       " 9        0.166667     0.458333      0.084746     0.000000\n",
       " 103      0.555556     0.375000      0.779661     0.708333\n",
       " 67       0.416667     0.291667      0.525424     0.375000\n",
       " 117      0.944444     0.750000      0.966102     0.875000\n",
       " 47       0.083333     0.500000      0.067797     0.041667\n",
       " \n",
       " [120 rows x 4 columns],\n",
       "      sepal_length  sepal_width  petal_length  petal_width\n",
       " 114      0.416667     0.333333      0.694915     0.958333\n",
       " 62       0.472222     0.083333      0.508475     0.375000\n",
       " 33       0.333333     0.916667      0.067797     0.041667\n",
       " 107      0.833333     0.375000      0.898305     0.708333\n",
       " 7        0.194444     0.583333      0.084746     0.041667\n",
       " 100      0.555556     0.541667      0.847458     1.000000\n",
       " 40       0.194444     0.625000      0.050847     0.083333\n",
       " 86       0.666667     0.458333      0.627119     0.583333\n",
       " 76       0.694444     0.333333      0.644068     0.541667\n",
       " 71       0.500000     0.333333      0.508475     0.500000\n",
       " 134      0.500000     0.250000      0.779661     0.541667\n",
       " 51       0.583333     0.500000      0.593220     0.583333\n",
       " 73       0.500000     0.333333      0.627119     0.458333\n",
       " 54       0.611111     0.333333      0.610169     0.583333\n",
       " 63       0.500000     0.375000      0.627119     0.541667\n",
       " 37       0.166667     0.666667      0.067797     0.000000\n",
       " 78       0.472222     0.375000      0.593220     0.583333\n",
       " 90       0.333333     0.250000      0.576271     0.458333\n",
       " 45       0.138889     0.416667      0.067797     0.083333\n",
       " 16       0.305556     0.791667      0.050847     0.125000\n",
       " 121      0.361111     0.333333      0.661017     0.791667\n",
       " 66       0.361111     0.416667      0.593220     0.583333\n",
       " 24       0.138889     0.583333      0.152542     0.041667\n",
       " 8        0.027778     0.375000      0.067797     0.041667\n",
       " 126      0.527778     0.333333      0.644068     0.708333\n",
       " 22       0.083333     0.666667      0.000000     0.041667\n",
       " 44       0.222222     0.750000      0.152542     0.125000\n",
       " 97       0.527778     0.375000      0.559322     0.500000\n",
       " 93       0.194444     0.125000      0.389831     0.375000\n",
       " 26       0.194444     0.583333      0.101695     0.125000,\n",
       " 137    2\n",
       " 84     1\n",
       " 27     0\n",
       " 127    2\n",
       " 132    2\n",
       "       ..\n",
       " 9      0\n",
       " 103    2\n",
       " 67     1\n",
       " 117    2\n",
       " 47     0\n",
       " Name: species_new, Length: 120, dtype: int64,\n",
       " 114    2\n",
       " 62     1\n",
       " 33     0\n",
       " 107    2\n",
       " 7      0\n",
       " 100    2\n",
       " 40     0\n",
       " 86     1\n",
       " 76     1\n",
       " 71     1\n",
       " 134    2\n",
       " 51     1\n",
       " 73     1\n",
       " 54     1\n",
       " 63     1\n",
       " 37     0\n",
       " 78     1\n",
       " 90     1\n",
       " 45     0\n",
       " 16     0\n",
       " 121    2\n",
       " 66     1\n",
       " 24     0\n",
       " 8      0\n",
       " 126    2\n",
       " 22     0\n",
       " 44     0\n",
       " 97     1\n",
       " 93     1\n",
       " 26     0\n",
       " Name: species_new, dtype: int64)"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train,x_test,y_train,y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "4b406c9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr=LogisticRegression()\n",
    "lr.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "07e0bb5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 1, 0, 2, 0, 2, 0, 2, 1, 1, 1, 2, 1, 1, 1, 0, 1, 1, 0, 0, 2, 1,\n",
       "       0, 0, 2, 0, 0, 1, 1, 0])"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred=lr.predict(x_test)\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "0691d445",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30,)"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "8e15986c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "114    2\n",
       "62     1\n",
       "33     0\n",
       "107    2\n",
       "7      0\n",
       "100    2\n",
       "40     0\n",
       "86     1\n",
       "76     1\n",
       "71     1\n",
       "134    2\n",
       "51     1\n",
       "73     1\n",
       "54     1\n",
       "63     1\n",
       "37     0\n",
       "78     1\n",
       "90     1\n",
       "45     0\n",
       "16     0\n",
       "121    2\n",
       "66     1\n",
       "24     0\n",
       "8      0\n",
       "126    2\n",
       "22     0\n",
       "44     0\n",
       "97     1\n",
       "93     1\n",
       "26     0\n",
       "Name: species_new, dtype: int64"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "7b63ff67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy=accuracy_score(y_pred,y_test)\n",
    "accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "9a847a63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8931623931623932"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "precision=precision_score(y_pred,y_test,average='macro')\n",
    "precision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "0f204015",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ValueError: Target is multiclass but average='binary'. Please choose another average setting, one of [None, 'micro', 'macro', 'weighted'].\n",
    "#If we encounter such error we have to add 'average' parameter which specifies the aggregation strategy when we have a multiclass problem.\n",
    "#Below are the options for the average parameter\n",
    "#1.None-This will return the precision_score for each class seperately.\n",
    "#2.Micro-This calculates metrics gobally by counting the total true positives,false negatives and false positives.\n",
    "#3.Macro-This calculates metrics for each label and find their unweighted mean.It doesnot take the class imbalanced into account.\n",
    "#4.Weighted-This calculates metrics for each label and find their average weighted by support (which is the number of true instances for each label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "0df38e05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.876984126984127"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recall=recall_score(y_pred,y_test,average='macro')\n",
    "recall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "1a997ee0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "precision1=precision_score(y_pred,y_test,average='micro')\n",
    "precision1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "db2f3c5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recall1=recall_score(y_pred,y_test,average='micro')\n",
    "recall1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "07ec7199",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[11,  0,  0],\n",
       "       [ 0, 11,  2],\n",
       "       [ 0,  1,  5]])"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix=confusion_matrix(y_test,y_pred)\n",
    "confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "c497971a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00        11\n",
      "           1       0.92      0.85      0.88        13\n",
      "           2       0.71      0.83      0.77         6\n",
      "\n",
      "    accuracy                           0.90        30\n",
      "   macro avg       0.88      0.89      0.88        30\n",
      "weighted avg       0.91      0.90      0.90        30\n",
      "\n"
     ]
    }
   ],
   "source": [
    "classification_report_logistic=classification_report(y_test,y_pred)\n",
    "print(classification_report_logistic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "f4e07d4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9166666666666666"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_score=lr.score(x_train,y_train)\n",
    "train_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "ca07383f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_score=lr.score(x_test,y_test)\n",
    "test_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "35d01162",
   "metadata": {},
   "outputs": [],
   "source": [
    "#no overfitting scenario as train score is similar to test score"
   ]
  }
 ],
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