2.Feature Engineering.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# 2. Feature Engineering"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "In this notebook we will transform (scale/normalize,encode categorical features, feature cross) features, create new features and check feature importance.\n",
    "\n",
    "**Note**: In ML a feature is an independent variable that act as input to the model/system. In our case, features are measured variables that describe the weather/air quality and are stored as columns of a Data Frame.\n",
    "\n",
    "At the end of this notebook we will have the data ready to start training a ML model."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Load dataframe"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             Datetime  year  month  day  hour  PM2.5  PM10  SO2   NO2     CO  \\\n",
      "0 2013-03-01 00:00:00  2013      3    1     0    9.0   9.0  3.0  17.0  300.0   \n",
      "1 2013-03-01 01:00:00  2013      3    1     1    4.0   4.0  3.0  16.0  300.0   \n",
      "2 2013-03-01 02:00:00  2013      3    1     2    7.0   7.0  NaN  17.0  300.0   \n",
      "3 2013-03-01 03:00:00  2013      3    1     3    3.0   3.0  5.0  18.0    NaN   \n",
      "4 2013-03-01 04:00:00  2013      3    1     4    3.0   3.0  7.0   NaN  200.0   \n",
      "\n",
      "     O3  TEMP    PRES  DEWP  RAIN   wd  WSPM  \n",
      "0  89.0  -0.5  1024.5 -21.4   0.0  NNW   5.7  \n",
      "1  88.0  -0.7  1025.1 -22.1   0.0   NW   3.9  \n",
      "2  60.0  -1.2  1025.3 -24.6   0.0  NNW   5.3  \n",
      "3   NaN  -1.4  1026.2 -25.5   0.0    N   4.9  \n",
      "4  84.0  -1.9  1027.1 -24.5   0.0  NNW   3.2  \n"
     ]
    }
   ],
   "source": [
    "df = pd.read_feather(path=\"EDA_dataframe.feather\")\n",
    "print(df.head())"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Encode Categorical Feature - Wind direction"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "The variable **wd** represents wind direction, and normally is divided into 16 categories:N, NNE, NE, ENE, E, ESE, SE, SSE, S, SSW, SW, WSW, and W.\n",
    "\n",
    "In our case (in this dataset), the authors thought it was a good idea to group these 16 categories into major 4 categories:\n",
    "1.NW:\n",
    "WNW, NW, and NNW. This means, we divide the 360º into 16 slices obtaining the 16 cardinal directions. In order to transform this variable into a numerical variable I decided to divide the full 360º into 16 sections of 22.5º each, and assign each slice to the respective category. The end result is the following:\n",
    "\n",
    "1. **0º     - North (N)**\n",
    "2. **22.5º  - North-Northeast (NNE)**\n",
    "3. **45º    - NorthEast (NE)**\n",
    "4. **67.5º  - East-Northeast (ENE)**\n",
    "5. **90º    - East (E)**\n",
    "6. **112.5º - East-Southeast (ESE)**\n",
    "7. **135º   - Southeast (SE)**\n",
    "8. **157.5º - South-Shoutheast (SSE)**\n",
    "9. **180º   - South (S)**\n",
    "10. **202.5º- South-Southwest (SSW)**\n",
    "11. **225º  - Southwest(SW)**\n",
    "12. **247.5º- West-Southwest (WSW)**\n",
    "13. **270º  - West (W)**\n",
    "14. **292.5º- West-Northwest (WNW)**\n",
    "15. **315º  - Northwest (NW)**\n",
    "16. **337.5º- Nort-Northwest (NNW)**"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "wd\n",
      "E      3564\n",
      "ENE    3861\n",
      "ESE    2706\n",
      "N      1865\n",
      "NE     3540\n",
      "NNE    1928\n",
      "NNW    1693\n",
      "NW     2466\n",
      "S      1547\n",
      "SE     1880\n",
      "SSE    1402\n",
      "SSW    1953\n",
      "SW     2481\n",
      "W       984\n",
      "WNW    1347\n",
      "WSW    1769\n",
      "Name: wd, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": "<AxesSubplot: >"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df.groupby(\"wd\")[\"wd\"].count())\n",
    "df[\"wd\"].hist(rwidth=0.9,bins=32)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "#putting it into code\n",
    "\n",
    "wind_dict = {\"N\":0,\n",
    "             \"NNE\":22.5,\n",
    "             \"NE\":45,\n",
    "             \"ENE\":67.5,\n",
    "             \"E\":90,\n",
    "             \"ESE\":112.5,\n",
    "             \"SE\":135,\n",
    "             \"SSE\":157.5,\n",
    "             \"S\":180,\n",
    "             \"SSW\":202.5,\n",
    "             \"SW\":225,\n",
    "             \"WSW\":247.5,\n",
    "             \"W\":270,\n",
    "             \"WNW\":292.5,\n",
    "             \"NW\":315,\n",
    "             \"NNW\":337.5\n",
    "             }\n",
    "\n",
    "df[\"wd\"] = df[\"wd\"].replace(wind_dict).astype(float)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[337.5 315.    0.  270.   67.5  45.   90.   22.5 225.  202.5 180.  247.5\n",
      " 112.5 135.  292.5 157.5   nan]\n",
      "wd\n",
      "0.0      1865\n",
      "22.5     1928\n",
      "45.0     3540\n",
      "67.5     3861\n",
      "90.0     3564\n",
      "112.5    2706\n",
      "135.0    1880\n",
      "157.5    1402\n",
      "180.0    1547\n",
      "202.5    1953\n",
      "225.0    2481\n",
      "247.5    1769\n",
      "270.0     984\n",
      "292.5    1347\n",
      "315.0    2466\n",
      "337.5    1693\n",
      "Name: wd, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df[\"wd\"].unique())\n",
    "print(df.groupby(\"wd\")[\"wd\"].count())"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Dealing with Missing Values\n",
    "\n",
    "\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "As we've seen in the EDA notebook we have some missing values, but overall less than 10% per variable.\n",
    "\n",
    "There are many strategies when dealing with missing values: filling with the mean/mode/median, delete entries when data is missing, using the last available value, or even linear,polynomial, or spline interpolation.\n",
    "\n",
    "I experimented with spline interpolation but decided to use **Random Forest Regression** in the end, because it offered the best results and had the right balance between simplicity/complexity and performance.\n",
    "Random Forest Regression was easy to build using sklearn **IterativeImputer** which is a multivariate imputer (multivariate missing value filler) that estimates each feature from all others. Using Random Forest means we build *n* decision trees to estimate the missing values and compute the average across the *n* predictions to obtain the final predicted missing values.\n",
    "\n",
    "**Note**: Simpler filling methods like mean/mode/median or last available value would work reasonably well if we only had 1-5 missing values at a time. In our case, in variables **CO** and **NO2** we have large blocks of missing values of around 1000 entries each. I wouldn't be a good idea to fill those blocks all with the same value, and deleting them would result in a big loss of information as well.\n",
    "\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot: >"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 2000x600 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting the missing values, notice thew big blocks\n",
    "plt.figure(figsize=(20,6))\n",
    "sns.heatmap(df.isna(),cbar_kws={'label': 'Missing Data'})"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 2000x700 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot the variables with more missing values, notice the big chunks of data missing\n",
    "fig,ax = plt.subplots(1,2,figsize=(20,7))\n",
    "df[\"CO\"].plot(ax=ax[0])\n",
    "ax[0].set_xlabel(\"Sample Number\")\n",
    "ax[0].set_ylabel(\"CO concentration (ug/m^3)\")\n",
    "df[\"NO2\"].plot(ax=ax[1])\n",
    "ax[1].set_xlabel(\"Sample Number\")\n",
    "ax[1].set_ylabel(\"NO2 concentration (ug/m^3)\")\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['year', 'month', 'day', 'hour', 'PM2.5', 'PM10', 'SO2', 'NO2', 'CO', 'O3', 'TEMP', 'PRES', 'DEWP', 'RAIN', 'wd', 'WSPM']\n",
      "16 (16,)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\MLOps_Air_Py3.9\\venv\\lib\\site-packages\\sklearn\\impute\\_iterative.py:785: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "#Imputing the missing data using sklearn IterativeImputer with RandomForestRegressor as estimator\n",
    "\n",
    "from sklearn.experimental import enable_iterative_imputer\n",
    "from sklearn.impute import IterativeImputer\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "#remove categorical features and keep numerical/continual features\n",
    "cont_df = df.drop(columns=[\"Datetime\"])\n",
    "cont_feats = [col for col in cont_df.columns]\n",
    "print(cont_feats)\n",
    "mins_values = cont_df.min().to_numpy()\n",
    "print(len(cont_feats),mins_values.shape)\n",
    "\n",
    "#estimator - RandomForestRegressor\n",
    "estimator = RandomForestRegressor(n_estimators=10,max_depth=20,bootstrap=True,max_samples=0.8,n_jobs=2,random_state=42)\n",
    "\n",
    "tolerance=1e-2\n",
    "#build imputer object\n",
    "imputer = IterativeImputer(random_state=42,estimator=estimator,max_iter=25,tol=tolerance,min_value=mins_values)\n",
    "#fill the missing values\n",
    "imputed_values = imputer.fit_transform(cont_df[cont_feats])\n",
    "#build a complete (with 0 missing values) df\n",
    "df_iter_inputed = pd.DataFrame(imputed_values,columns=cont_feats)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Let's see the results of the imputation in the variables that had the most missing values:"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 2000x700 with 2 Axes>",
      "image/png": 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bImmxrOVlnt8OtZGGPdXuRsuxC1jWLjIVFeHiN+OQV6sjbrn7BY+2wWNbOSxr5WilrEviIHJHSop6x60gAOHhVXBs/06Y/3wLph4vodEtvZ2/kdxWUtZqft++gmWtLJa3cljWyvH1si6pd5O77rY0tetxvb3utjQlytrRMVTy+3KFv/NVlJeXl4fAQOsPFRgYCKPR6HR5fn6+5d+2louiaHMZAMv2XWXrwTQ/Px9paQb4+Qnw95e3Q5Lc23eHwSD/51WTkp/NbBZgMBhQo0YIKlWqpNh+tYSVPsphWUsvJysDIUgDAPS4vglZ/sVdbFnWzu3c9Td65/yNK9nHEB7+VoW2xfJWDstaOSxrIs/U+XUs6iAN+Hs0km+5rHY4RERERETaTMwEBQUhIyPD6jWj0WippA4KCiqXRDEajahatSqCgoIs/y67PDg4GCaTyeYyAG5XgtvrMWM2m2EyibJm59TOtJZlNsv7edWkdFmbTCLMZjPS03MQEFB+zERvppUWwb6AZS2fnKzrCCn17/TUTFSpFsaydkFKejYAwA9mpKRkebQNHtvKYVkrRytlzR4zpFd1/mswQURERESkFZpMzNSpUwfnzp2zei0lJQW1a9e2LE9JSSm3vFWrVqhevTqCgoKQkpJiGcqsqKgIGRkZqFWrFkRRRHp6OoqKiuDvX/zxk5OTUalSJVStWtWtOEUR5R6OfbFiYs2ajWqH4JVsHV++wpc/u9JY1tKzd11gWbtAFAAAAipeVixv5bCslcOyJiIiIiIid7HuVps0OfZUVFQUTp48aRmWDAAOHjyIqKgoy/KDBw9aluXl5eHUqVOIioqCwWBA27ZtrZYfOXIE/v7+iIyMRKtWreDv748jR45Ybbtt27YwGDRZHERERD6hpL5ZAGueiYiIiIjIO0Rv/gRFn7fHtUsxaodCRBqiyUxE165dUa9ePUydOhVnz57FokWLcOzYMYwcORIAMGLECBw6dAiLFi3C2bNnMXXqVDRo0ADdunUDADz00ENYsmQJ/vjjDxw7dgxvv/027r//fgQHByM4OBhDhw7F22+/jWPHjuGPP/7A0qVLMXbsWDU/MhERkc8TBaHkL1XjILLHWJCHhK/uw6mNc9QOhYiIiIh0os/5D1APKSj87f/UDoWINESTiRk/Pz988cUXSE5OxvDhw/Hzzz/j888/R0REBACgQYMG+Oyzz7B27VqMHDkSGRkZ+PzzzyH8V6Fz11134amnnsKbb76J8ePHo127dnj55Zct2586dSpuueUWPProo5g+fTomT56MO+64Q5XPSkRERMVyAmsjVwzCBbGu2qEQ2fTPgV1obzyIRhdWqR0KEREREemMQSxSOwQi0hDNzDFz+vRpq383btwY3377rd31+/bti759+9pdPmHCBEyYMMHmsuDgYMyZMwdz5rC1IxERkVYYA6qiV8GnyEEl7FI7GCIbjEXFD9OCk/WIiIiIiIiIHNFMYoaIiIh8mygCaaiqdhhERERERERERLLS5FBmRERERERERERERERE3oiJGbJISUnBnDmzcN99d6J//5545JH78f3336CoyPEYmJMmTcCSJQtd2sfIkfdg8+aNFY710KF/0atX5wpvp6wlSxZi0iTbQ+ARERGRb/MTCwEANxmuqhwJERERERH5GtbdelfdLYcyIwDA1atJeOaZx9GoUWPMmPEeatWqjejok/jyy89w6NABvP/+JzAYbOfx3n13Lvz9A1zaz1dfrUDlysFShk5EpGkiRLVD0A2WFGldWN4FtUMgctvVq1cxa9Ys7Nu3D0FBQRgyZAheeOEFBAUF4Z133sE333xjtf60adPwyCOPAAA2bdqETz75BMnJyejVqxdmzpyJsLAwNT4GERERkU9j3a33YWKGAACffDIXERH18eGHn8HPzw8AEBFRH7fc0g5jxtyPn35agxEj7rf53qpVq7m8nxo1akgSLxEReR8mZkj7BLUDIHKLKIqYMmUKqlatiu+++w7Xr1/Ha6+9BoPBgFdffRWxsbF48cUXMWzYMMt7QkNDAQDHjh3D66+/junTpyMyMhKzZs3C1KlTsXCha60tiYiIiEg6rLv1PhzKjJCWlopdu3bg4YfHWn7YJerWrYshQ+7Gxo3rAQCbN2/EM8+Mx9SpL+HOO/ti69Zfy3WH+/HH7zB06GDccUdffPLJXEye/JSlC1zp7nCTJk3A118vwQsvTEL//j3x4IPDsX//Xst2zp+PwwsvTMLAgX3Qv38P/O9/T+DChfNOP8+ECePKdc97+unxWL58MQBg167teOyxh9C/fw8MGnQb3nrrNeTm5pbbzubNGzFy5D1Wr5X9rOvXr8WoUfdi4MDemDRpAmJjz1mWHTx4AOPGFe9n1Kj7sH79WqexExERkXYJTB+SzsTFxeHIkSOYPXs2WrRogc6dO2PKlCnYtGkTACA2NhatW7dGrVq1LP8FBxe3kPz2228xePBgDB06FJGRkXj//fexfft2xMfHq/mRiIiIiHwO625dr7t95pkndVN3y8SMUkQRKMxV7j/R9YqD06djIIoiIiNvsbm8Xbv2OHfuDIxGIwDg+PFjaNKkKRYuXI6uXW+1Wnfr1l+xZMkiTJnyIhYsWIrExCs4cuSQ3X2vWLEUAwbciW+++REtWtyMOXPegdlshtlsxquvPo969SKwfPn3+PLLpTCZTPjyy3lOP8+AAXdg+/Ztln+npCTj5MnjGDDgTiQkXMYbb7yKYcNG4bvv1mDGjPdw8OA/+Pnnda4UlZVdu3Zg2bJFeO65l7F06XeIiuqAKVOeQmZmJkwmE6ZN+z/063c7vvtuDZ588ml89NEcnD8f5/Z+iIiIiIg8UatWLSxevBjh4eFWr2dnZyM7OxtXr17FTTfdZPO9R48eRefON8YFr1evHiIiInD06FE5QyYiIiJSntL1tqy7Zd0tOJSZMkQR1dcNQ0DSv4rtsrBeF2QMWwcIzofcyMrKBABUqVLF5vIqVaoCADIzi9cTBAGPPjoeQUGVyq27bt1q3H//aPTvPwAA8Prr0zF8+BC7+7711l4YMqQ4s/noo49j3LjRSEtLRUhIKIYOHYFhw0ZZWu0NHnw3vv9+hdPP07//QMyf/wni4y+hYcNG+PvvP9GiRUs0aNAQ8fGX8NxzL+Pee4uHa6hXLwKdOnX16Ef3/fcrMGbMY+jZszcA4Mknn8Hevbuxdetm3HHHYGRmXkdYWE3UqxeBevUiEB5eCzVrhjvZKhGRD3PjxpSIiJyrWrUqevfubfm32WzGt99+i+7duyM2NhaCIGDBggXYsWMHqlevjscee8wyrNm1a9dQu3Ztq+3VrFkTSUlJin4GIiIiIlmpUG8LsO6WdbdMzCjHhR+ZWkp+vGlpqahdu0655SkpyQCKH+wAoEaNMJs/bACIjT2LRx4ZZ/l31apV0ahRY7v7btiwkeXvkJAQAEBRURGCg4MxdOhIbNnyC2JiTuHSpQs4ffq0S5ONhofXQrt27fH339swZsw4/P33NgwYcIdlfwEBgfj66yWIi4vFhQtxOH8+Dnfeaf8EZM/Fi+fxxRefYeHCzy2vGY1GxMdfQtWq1TB06EjMmfMOli9fjJ49e+Ouu+6zlCERERERkdLmzp2LU6dOYc2aNTh58iQEQUDTpk3xyCOP4MCBA5g2bRpCQ0MxcOBA5OfnIzAw0Or9gYGBlpaYrlLzMcjWvjX8WKZrJeXK8pUfy1pZLG/l+EpZa+Hz+UpZ22Pzc2u8MFh3q826W0Eof+i4cygxMaMEQSjOgBblSbZJf38DiorMDlYIdvlIiIxsDT8/P5w+HW3zxx0TcwrNmrWwPJiVfUArrXicQ+sWz6KDFtD+/uUPQVEUkZubiyefHItq1aqjV68+GDDgTly6dAE//PCtS59pwIA7sGnTz7j77ntx/PhRvPHGdADA2bNn8L//PYFevfqgffuOePDBh7Fq1Q82tyHYKD+TyWT195QpL6Bz565W65ScpF566f8wfPgo7Nz5N3bu3I4NG9bhvfc+wq239nTpMxARERERSWXu3Ln4+uuv8fHHH+Pmm29GixYt0K9fP1SvXh0AEBkZiQsXLuCHH37AwIEDERQUVC4JYzQaLS0iXVWzpu2WnWoJD9dWPN5Ga9+3N2NZK4vlrRxvLmuDQVvXIW8ua0fy8/ORlmaAn58Af//iWT6yR62XtN7WJf7B8Hex7rZNmzbw8/PDuXOnERFRr9zyM2ei0bx5C1SuXAkGg4DAwEDLZwOK6zgNhuLP6+fnZ/m7tNKvlfwtCAICAwMsr/v53VhuNObjySfHonr16ujduy/uvHMwLl48j+++++a//RSvW3Y/Je64YxA2blyP++4biuPHj+Gtt2bA39+As2fP4KmnxqNXr77o2LETHn54DFau/B6CUByTwSBY/ra1D5PJZInfZDLh+edftFF3Gwp/fwP+7/9ew/33P4Dt2//Cjh1/Y8OGnzB37sfo0cNx3a3ZLMBgMKBGjRBUqmQ7AeYKJmaUIghAQGXptudvAAQHiRk31KhRA71734bly5egR4/eVpNIXb2ahE2bfsbEiVNc2laTJk1x+nQMevXqCwDIycnG5cuX3Y7p8OGDSElJxtdfr7Qkbw4c2OcwyVPabbcNwCeffICNG9ejVatbULdu8Unrt982o337DnjrrXcs616+fAmNGzcptw1/f3+riaVEUURi4hXLvxs2bIzk5Gto0KCh5bV3352OPn1uQ6tWt2D58iWYPPl5PPro43j00cfxwguTsXv3DiZmiIjs4EBmRETymDlzJn744QfMnTsXd955J4DiB/SSpEyJpk2bYt++fQCAOnXqICUlxWp5SkoKatWq5da+U1OzVBupUhDKVzqlpGSpE4yXKylrNb9vX8GyVhbLWzneXNYlAyOZzdq4DnlzWbuisNAIs9kMk0m0bvQueF7B7ozNBvYmEa4+BVepUg29e9+GJUu+QrduPcvV3f788wZMnDgFRUVmmM3F2yy9P1EUYTYXf94mTZoiOvoUevQoHt4rJycb8fHxluUALH+Xfh8AmEw3/vfAgQPl6m737dsDUSxev2Rdex0L+vTpj48+eh/r169Dq1atUatWXRQVmfHLL5sQFdUBb74507JufPxFNG7cxPL5SvZhMPghNzfXso/iutsES8wNGzZGUtJV1KvXwLItW3W3Y8aMx5gx4/HCC5OxY8ff5eblKctkEmE2m5GenoOAgEKrZbbuP+1hYoYAAM899xKeeeYJvPTSFIwb9yTq1KmL06ej8cUXn6JDh04YNmyUS9sZMeIBfPDBbDRv3gKNGzfB4sULkJeXa7P3iSPVqlVDXl4edu78G5GRrfHvv/9g7dpVCAkJden91atXR8eOXfDNN8vx5JPPWG03NvYcTp06gdDQKtiwYR2io08hIqJ+uW1ERrZGZuZ1rFq1Et269cDatT9axmoEgAcffBjvvfcOGjZshLZto7Bhwzps2/Y7xox5DFWrVsOOHdsgiiJGj34EycnXcO7cGfTt28+tciAi8j0iAG13Iyci0pP58+dj5cqV+OijjzBo0CDL659++ikOHz6M5cuXW16LiYlB06ZNAQBRUVE4ePAghg8fDgBITExEYmIioqKi3Nq/KGprCjEtxeKNtPZ9ezOWtbJY3srx9rLW0mfz9rK2R6+fmXW39utu16xZiVtv7aV43W1Ff0NMzBCA4rH9Fi1ahuXLF2P69NeRkZGBiIj6uO++Ebj//tEwGGx3OytrwIA7cflyPObOnQ2j0Yh77x2GunXr2RyyzJE2bdph3Lgn8OGHc2A0GtGsWXO88MKreO+9mUhOvuZiLHfg33/3o3//gZbXRo58EGfOnMZzz01EYGAg2rfvgMceexJ//PFbufc3bNgIEyc+h2XLFmPhws8xZMi96Nevv2X57bffgbS0NCxevABpaWlo0qQp5sz52DL24nvvfYRPP/0Qjz76ICpXDsFdd92Le+4Z6lY5EBH5kuzzB/Bv0FTMLnwIQB+1wyEqR2C/LtKZ2NhYfPHFF5gwYQI6deqE5ORky7J+/fph0aJFWLJkCQYOHIhdu3Zh/fr1WLGieMLW0aNHY8yYMWjfvj3atm2LWbNm4bbbbkPDhg3t7Y6IiIiIZMK6W/t1t19/vRRfffXlf3W3t1uWa73uVhBdHRuKyklJKd/lr7DQiNTURNSsWQ8BAfbnYqkop3PMqOTw4YOIiKiPOnXqAiieDOruuwfg3Xc/QMeOnVWOzjNKl7VSx5AWCULxeKu2flskLZa1fHKy0nHTiraWf18YcwQ3NWvCsnaBcX4U6gupAIDkie4Pgwnw2FaSL5b1yc2f4rbzcwF4fox6QitlXRIH6ceiRYvw4Ycf2lx2+vRp/PHHH5g3bx4uXLiA+vXr4/nnn8cdd9xhWWfdunWYN28erl+/jp49e2LmzJmoUaOGWzGoedxajtm3q1leU/K360u0cp7yBSxrZbG8lePNZV3r8+JhlI4FtEe9CZtUjsa7y9oVatS7aake1xvrbktToqwdHUPuPDOxxwxJaufOv3H8+DG8/PJUVK4cgtWrf0DlyiG45Za2zt5KROSV2P7BdX7Qxo0qkX0cZo/0ZcKECZgwYYLd5QMGDMCAAQPsLh8+fLhlKDMiIiIi0r+dO1l3qxWu9XEictETTzyNRo0a4/nnJ2LcuNG4ePECPvzwMwQFBakdGhERaZzISm8iIiIiIiIi2bDuVjvYY4YkVblyCKZNm6F2GERERESKMhUVwWAwwGQ2wd8/QO1wiIiIiIiIymHdrXYwMUNERESaEIhCtUMgcsxOp66ioiLkLuqLZuJF5IhBSLj/L9So3UjZ2IiIiIiIiEg3OJQZERERaUJNIUvtEIgcszNnVELSFTQTLwIAQoQCXN3+pZJREZEHRDPnNSMiIiIi9TAxIxNO9kye4rFDRERERCSfQmM+shf2wvllj6gdChEREamE9W/kKamOHSZmJObn5wcAMBoLVI6E9MpkKgIAGAz8eRIREWmJnZHMiEhnLh39A03Nl9A192+1QyEiIiKFldS3ldS/EbmrpN7fz69is8RwjhmJGQx+CA4ORXZ2OgAgMDAIgiD9Y7zZLMBkYmZXCUqWtSiakZWVgcDASjAY/JyuX5CXjcCgyhCYxCHSLDmuAVSsIC8bQcGhaodBBP7MifRFBJ+jiIiIfJXB4IeAgErIzs6An58fBEH+OjXW4ypHzrIWRRFGYwGys9MRHBxa4Ub1TMzIoGrVMACwJGfkYDAYYOa4yIpQuqwFwYCqVcOcVuZeiT2CqC13Y3/oADR9dLkywRERacTZb59Bj+sbcej2NWgY2V3tcMhnMANDRERERJ4R2DBAEwRBQLVqYUhNTUJa2lVF9sl6XOUoUdbBwaGW+v+KYGJGBsU/8JqoUqWGLN3iBAGoUSME6ek59uagJYmoUdb+/gEutbDP2/0ZAKBb9h9IljsoIiIFmEUBBsG1k22P6xsBAOLuj4DIVXKGReQC3pAR6YnAJCsREZFP8/cPQO3aDVBUVCj7vliPqxwlytrPz1+y6SeYmJGRwWCAwRAo+XYFAahUqRICAgr5g5YZy5qIiIhKiKzLJSIiIiLyCoIgICBA+nrb8vth3aJS9FbWnJiCSKdEtvQj0gVRD3cDGsGSIq2z16GLre+JiIiIiIjIHUzMEBERkY4xnUNERO5iMpWIiIiI1MXEDBERERGRC1qeX2rzdVbxEhERERERkTuYmCEiIiJN4BCNpHV1kWJ7AYcsJCIiIiIn+LxDRKUxMUNERERERES+Q2DFGBERERGpi4kZIr0S+PMlIu/CFmREREREROStBM6PSUSlsGaXiIiIiKgCTIV5aodAREREREREOsLEDJFOsZ0FkTYJHB7FYzyvkV513jxA7RCIyB28VhMRERGRypiYISIiIk3gUGZERERERERE5AuYmCHSLVZgEpF38WTMZY7TTERERESuOLPzB5z+4XmYiorUDoWIiIiJGSIiIiIiIvIdHHaUyDf1PPYyeqWtxrmd36sdChERERMzRLrFB0oiXRBF9uggIiIiItIKc85VtUMgIiJiYoaIiIi0gelmIiJSBh+DiYiIiEhdvCMl0i1WYRIRERERERERERHpDRMzRERERERERETkEzjUMKmHxx4R3cDEDJFusccMEXkXgQ8qREREREREROQDmJghIiIiIiIiIiIiIiJSCBMzRDolssMMEXkZ0ZOegByKgoiIiIiIiIh0hokZIiIiIiIi8hkCGzgR+Tg27CG18AJERDcwMUOkW7ygExEREREREREREekNEzNEREREREREREREREQKYWKGSLfYY4aIvIvAYSWIiEgBHs1pRkREREQkISZmiIiI5MTJ6YmIiIiItIP356QaHntEdAMTM0S6xZZ+RERERERERERERHrDxAwREZGcBCZRXcWhzIiISAkCr81EREREpDImZoj0ig+URERE2sQhUoiIiLSLz9JERKQBTMwQERFJSBB4afUUJ2MmIiIiItmxAQWppFbhFbVDICINYe0RkU6xApOIiEh9otmsdghE5C42oiAiIhXURYraIRCRhvCOlIiIiHSL89KQ2kQeg0REREREROQmJmaI9Irj4hIREalONDMxQ6Q3vIsm8m1s2ENERFrAxAwRERFpgicPyRzWkdQmmk1qh0BEREREREQ6w8QMkW6xMpKIvIurZ7WEc4dljYPIFSVzy3AoMyIiIiIiInIXEzNERERyEllp6yqD4FpZtf/tHsvfHIqC1HLunw0AAPN/CRoi0hEOCUxEREREKmNihkiv+DxJRESkmqKEI8V/MPlKRESkL7x0ExGRBjAxQ0RERDrGJ2tSlyiyxwwRERERERG5h4kZIiIiIiK3/TfHDHvMEBERERERkZuYmCHSKZFjmRERcY4ZUp3ZbFI7BCIiIiIiItIZJmaIiIiIiNz1X07wetJ5deMgogoRzRyOkMj3sGEPERGpj4kZIt1ijxkiIvYeJLXlZiSoHQIRuY3XDiIiIiJSFxMzREREpFscyozU89+xxzlmiIiIdIbJWSIiUh8TM0R6JfBmkoiIiIioIkQm+ImIiIhIBUzMEBERkX6xPo1UU9xAQmSPGSL9EfgYTOTbeO0mIiL18Y6USLfYY4aIiEg9xZU6hSmxKsdBRBUhmllBS0RERETKY2KGiIhITqJZ7Qi8HCvUSF1CUb7aIRCRmwQOCUxEREREKmNihoiISEKs7CHyFcVJQZHJVyIiIiIiInITEzNERERERETkk0T2vCTyOWxUQUREWsDEDJFecdJSIiIiIiK3sXMrEREREamNNbtERESkWwJbOpNKBJHHHhEREREREXmGiRkiIiIiIiLyTWYOaUREREREymNihoiIiIjIQ+y1RaRHHMuMiIiIiNTFxAyRbvGBkogIrBQntXFIMyIiIiIiInITEzNERERyEnipJfJuTMwQERERERGRe1hbRKRXAnvMEBFxAnZSD489IiIiIiIi8gwTM0RERERERORDmFglIiIiInUxMUNERCQn0ax2BEQkh5LeWuy1RURERERERG5iYoZItziUGREREREREREREZHeMDFDRERERERERERERESkECZmiIiIiIg8ZmsoMw5vRkREpFUCr9NERKQBTMwQERFJSOR8E4rigzUREVWEyOsIEREREamAiRkinRIFzjFDRESkHlbmEukX76OJiIiIPGUsyEPKggGI+fEltUPRNSZmiIiIiIg8xfwMERGRZolms9ohEBF5nfP71qCVKQa9U1aqHYquMTFDpFts6UdERKQW/4J0tUMgIiIiB2JWvgjxy/bITLtqvYBDDxMRVYhoKlI7BK+g6cRMYmIinnrqKXTs2BH9+/fH8uXLLctOnTqFUaNGISoqCiNGjMCJEyes3rtp0yYMGDAAUVFRmDhxItLS0izLRFHEBx98gO7du6Nr1654//33YWYrCiIiIiJy0a2Zm9UOgYiIiBzonfoj6iANCdvmqR0KEZF3caGteEFejvxx6JymEzPPPfccKleujHXr1uG1117DJ598gt9//x25ubmYMGECOnfujHXr1qFDhw546qmnkJubCwA4duwYXn/9dUyaNAk//vgjMjMzMXXqVMt2ly1bhk2bNmH+/PmYN28eNm7ciGXLlqn1MYmIyIsInP9JYWzxSGpj4x4iIiIiIvIdAvwcLr9w7G80WNoSMStfVCgifdJsYub69es4cuQInnnmGdx0000YMGAAevfujb1792Lz5s0ICgrCK6+8gmbNmuH1119HSEgItmzZAgD49ttvMXjwYAwdOhSRkZF4//33sX37dsTHxwMAVqxYgSlTpqBz587o3r07XnrpJXz33XdqflwiD7Dyl4iIiIiIiIiIiLQjZO+7AIp7LpJ9mk3MVKpUCcHBwVi3bh0KCwsRFxeHQ4cOoVWrVjh69Cg6depkaZUsCAI6duyII0eOAACOHj2Kzp07W7ZVr149RERE4OjRo7h69SoSExPRpUsXy/JOnTohISEB165dU/QzEhGR9xM5hrWsBPaYIbXxECQiItIZXryJiEh9/moHYE9QUBDefPNNzJw5EytWrIDJZMLw4cMxatQo/Pnnn2jevLnV+jVr1sTZs2cBANeuXUPt2rXLLU9KSkJycjIAWC0PDw8HACQlJZV7nyNqjVZTsl+OliM/TZd1qZg0GZ8HNF3eXoZlLZ+yRcqy9oyr5dWm8DiOfDUUIcM+R41a9VneCmJZF392e59fynLRSlmrvX8iIiIiIiJvodnEDADExsaiX79+eOyxx3D27FnMnDkTt956K/Ly8hAYGGi1bmBgIIxGIwAgPz/f7vL8/HzLv0svA2B5v6tq1qzi9meSktr79yVaLOuAgBs/3/Bw7cVXEVosb2/FspZebiXr+SaqVQ8BwLJ2lzvntfbGf3Fw8/+hxYvrLa+xvJXjy2UdHl4F/gHlx1f2D/CT5drsy2VNJBf2bCXyRWxpQEQkJ45s4RrNJmb27t2LNWvWYPv27ahUqRLatm2Lq1ev4ssvv0TDhg3LJVGMRiMqVaoEoLi3ja3lwcHBVkmYoKAgy98AEBwc7FaMqalZUOM+XhCKH8zV2r8v0XJZFxbdqPxNSclSMRLpaLm8vQ3LWj75OTmoXOrf1zNyULOOetcMPQkv9bej81q4jdcC89OQkpLFY1tBvljWZY+9lJQsFBmLyq1XVGiS9NqslbIuiYNIT4wF+Qh0vhoReTHBV25UiIiUwq70ktBsYubEiRNo3LixJdkCAK1bt8aCBQvQuXNnpKSkWK2fkpJiGYasTp06NpfXqlULderUAQAkJyejQYMGlr8BoFatWm7FKIpQ9eFY7f37Ek2Wdal4NBdbBWmyvL0Uy1p6ZYuzpHxZ1u5xv6xEq/ewvJXjy2UtivZHqZejTHy5rIk8dWjJZHQv+6Kg2alWiUgRvJgSEVUIH0okodk70tq1a+PixYtWPV/i4uLQoEEDREVF4fDhw5Zu56Io4tChQ4iKigIAREVF4eDBg5b3JSYmIjExEVFRUahTpw4iIiKslh88eBARERFuzS9DpDomp4mIiDSADyVEWtbp6lq1QyAirTGbna9DRESeY+LGJZpNzPTv3x8BAQF44403cP78eWzbtg0LFizAmDFjMGjQIGRmZmLWrFk4d+4cZs2ahby8PAwePBgAMHr0aGzYsAGrV69GTEwMXnnlFdx2221o2LChZfkHH3yA/fv3Y//+/fjwww8xduxYNT8uERERVQDHsCUiIiIiV7RMWq92CERE+uZkKDM+n7tGs0OZValSBcuXL8esWbMwcuRIhIWF4ZlnnsEDDzwAQRCwcOFCvPXWW1i1ahVatmyJRYsWoXLl4lH9O3TogBkzZmDevHm4fv06evbsiZkzZ1q2/fjjjyM1NRWTJk2Cn58fRo4ciXHjxqn0SYmIiIiIiEgOrBYgorLqIBXJagdBREQ+T7OJGQBo3rw5li1bZnNZu3bt8NNPP9l97/DhwzF8+HCby/z8/DB16lRMnTpVkjiJ1MGxzIiILFjzRirhhMJEOiRyGCMiXyLy2ZmISFp8BpKEZocyIyIiIiLSPj6UkLZdvXoVU6ZMQdeuXdG7d2/Mnj0bBQUFAID4+HiMGzcO7du3x5AhQ7Br1y6r9+7Zswd33303oqKiMHbsWMTHx6vxEYiIiIiIvA4TM0R65WQ8RyLSBpGVtkREpBJRFDFlyhTk5eXhu+++w8cff4y//voLn3zyCURRxMSJExEeHo61a9fivvvuw6RJk3DlyhUAwJUrVzBx4kQMHz4ca9asQVhYGP73v/9BZAtJItIdnreIiCTFOklJaHooMyIiIiIiTWMlNWlYXFwcjhw5gt27dyM8PBwAMGXKFMyZMwd9+vRBfHw8Vq5cicqVK6NZs2bYu3cv1q5di8mTJ2P16tVo06YNxo8fDwCYPXs2evbsiX/++QfdunVT82O5iRUHREREREoSmBB3CXvMEOkWHzKJiErwxo+IqLxatWph8eLFlqRMiezsbBw9ehStW7dG5cqVLa936tQJR44cAQAcPXoUnTt3tiwLDg7GLbfcYlnuLdgDiIiIiIjUwB4zREREREREXqhq1aro3bu35d9msxnffvstunfvjuTkZNSuXdtq/Zo1ayIpKQkAnC53lZojXdjatyDAqn2TIHA0DimUlCHLUn4sa8+ULS9Xy4/lrRxfKWstfD5fKWut8MryLnMvVVaIOdPhcrlooazd2TcTM0R65VVndCLvJbB3m0LY4pnUwmOP9GPu3Lk4deoU1qxZg+XLlyMwMNBqeWBgIIxGIwAgLy/P4XJX1axZpWJBV1DZaMPDqyCtyo1eQjVrhqJScIiyQXkxtb9vX8Kydl1AgB/Cw63Lq+y/nWF5K8fby9rdY09O3l7WWuNN5V0pOMDyt81jWkxyvFxmeilrJmaIiIiIiIi83Ny5c/H111/j448/xs0334ygoCBkZGRYrWM0GlGpUiUAQFBQULkkjNFoRNWqVd3ab2pqlmpTMQkCEFqmgURKShays/It/05NzUZQJbPSoXkdQSiuBFHz+/YVLGvXlQziWFRkQkpKFkoP6piSkuXSNljeyvHmsvbk2JOTN5e1FnljeefnFVr+tnVM2zrmz66YAEEsQvNHl8oWlxbKuiQGVzAxQ+TlCvJyULB8EBKrdUTLhz5VOxwiIiIiUtjMmTPxww8/YO7cubjzzjsBAHXq1MG5c+es1ktJSbEMX1anTh2kpKSUW96qVSu39i2K0FQlhCha93PTWnx6x/JUDsvaDTbKyt2yY3krx9vLWkufzdvLWmu8qrxLfQ5nn0kUgZysNNyauRkAcDY5AdXD68sYnH7K2qB2AETkGdHF4ZHO71mJZubz6JW+VuaIiAgABA4zqAqBw0mRwk6KTdQOgcgl8+fPx8qVK/HRRx/hrrvusrweFRWFkydPIj//Ru+RgwcPIioqyrL84MGDlmV5eXk4deqUZblu8LJMRBW8T4w/dxwF8zsh+rfPJYqHiMi3iOZSvZPN7KlcgokZIi8niia1QyAicpvImzXSuMSgZmqHQORUbGwsvvjiCzz55JPo1KkTkpOTLf917doV9erVw9SpU3H27FksWrQIx44dw8iRIwEAI0aMwKFDh7Bo0SKcPXsWU6dORYMGDdCtWzeVPxURkbIyVk9BfVxFn3Oz1Q6FiIi8CBMzREREREREXujPP/+EyWTCl19+iV69eln95+fnhy+++ALJyckYPnw4fv75Z3z++eeIiIgAADRo0ACfffYZ1q5di5EjRyIjIwOff/657nqGsj8lEbk62oQ9fmKh85WIiIjcxDlmiIiIiIg8JbJ3F2nXhAkTMGHCBLvLGzdujG+//dbu8r59+6Jv375yhEZEpJr9IbejqdpBEBHpmb7a6WgWe8wQ6ZQguPjz1cNsV0ReTGRbXSKv5IciAEC35NUqR0JEFcJ7ZSKfYwyurXYIRERETMwQEREREbmrWVEsACBQKFI5EiIiInKPmwlZJnCJiKxV4LTIxqs3MDFDpFvsN0hEVELgzR0pjMcckT7YnFtCZ/PkEFFF8ZpNRKQmgXWYNjExQ+Tt+OBJREQkuYpOJExEyuAvlYgqjM/U5Ib0a5eQdOGk2mEQyYunRUkwMUOkVzwJkkSKjAVqh0BUcRxigpTGShoiIiIiKuPm1T3Q9pc7kZGSoHYoRKRxTMwQeTtWVpID574ejxqLIpF+7ZLaoRAREREREWkPn6nJA2nxp9QOgUgzOK+MbUzMEBH5sO5ZW1FJKETSjq/UDoXICm/cSPN4iBLpgs1hB1nJSkRERKQKzjdzAxMzRDrFse2JiIjUxIpdIj3wh0ntEHxSTlYaord+iayMZLVDIQIAmM2lzgVMzhIRqSZx77dIOn9c7TA0gYkZIiICKxhJ7wQew0REZEMAitQOwSel/fgk+pydhdxVY9UOhQiAgDN/LavA29kokohIKn0uf462mwerHYYmMDFDpFe8OSQiIlIRr8NEuiWa1Y7A63Us2A8AaFPIFrGkBSL8Ev+98U93n6XZw4ZIMqlJFxC9fiYy066qHQpVhOBeSoHDl9nGxAwREYE9ZoiI3MOzJpG34K+ZiIhIKaHrRqJPwkJkrZ2gdihUEWzkIgkmZoh0i9lmIj1gAzsiIiIiIv0KMOerHQKR12ggJgEA2hYcUjkSIvUxMUNERERERERERF6sVMNGN1tOtTCdkzgW8gWcA5OInGFihkinBM4xQ0REpBqRPVeJiIiIiMgXuTnHDNnGUiQiIsnkZKWjID9X7TCIiIiIiIiIiEgOnGNGEkzMEBERBAkmQsnNzsBNK9qi6uIOEkSkZ2xFT+QLRPZcJdIxDi+jllObP8WlJaNQaOScHaQ0XreJtIS/SG05/cNzOP39s2qH4XOYmCHSKQ6hQlpzNbZ48r6qQo7KkZA3EM2sNCNtkyKhTUTka/qen4tO+Xtx7u9laodCvoTXbCIiu7Kvp6BX2hr0Sl+LrIxk197EocwkwVIkIiIiIiIin8E6Wg0wZqsdAREREQEwmwotf4vmIhUj8T1MzBDpFYdQIUmxhoKIyB0cyoyIiEiv+OxD8uMoJ6QG0cy5X/SEiRkib8cmgVQBotmMa/GneXEnIp9hNptwLf602mEQERGRVNiYglQgMAFICoteMw2mLzsiIyVB7VDIRUzMEOkWby5JftG/foxbfr4dZ3+YonYousXnQCJ9if1+Im75+Xac2vypw/WKTExYE+mVaDbd+JuNmIh8gsh7ciJNMQi8/kqtz9VlqIcUXP39A7VDIRcxMUPk7VgrTBXQ/fx8AEDPjPXqBkJEpJAe1zcBADrEfeFwvSLmZYh0q8vOR9QOgYiIiEgeIh9U9IKJGSKdEthjhhTA7tcVx4a4RHrFHy8REZFX4A05keaY2Y3Ntxj4fdvCxAyRt+NNKLnC7nHC44eIiIiIiIiIiEhKTMwQEZFd7rRpYPsHIvImznoMijzrEZGbiowFSDp/XO0wiMhNFw0N1A6ByOtwjhnt4Hx76mFihkivOHcMKYBDmZFaRB57pHE8PxLpQzJqqB2CxbWvR6Ht5sGI+WuZ2qEQkRuyAsLVDoGIyGWafE4xazAmDWBihoiI7NLkBZ2ISAOCAvzUDoGIXKKdxkxRxkMAgNqnv1E5EiJfpJ1zAZFSUpMu4PKZA2qHIZucrDScP7oNZrNJ7VB0TWDDb9UwMUOkUy4PocITLFUAjx4iItt4fiQi8hyHgyS5xR7YpHYI5OO0MDpU5Npe6PD7MFyLP612KLIQvhmMrrvG4vSfi9UOhcgjTMwQeTst3A2QDtg+TjjuKxH5KlYZEhHJh72ySW5FZ38v84rnV3YmEknvMi4eVTsEWTQWEwAA1c9vVDkSIs8wMUOkV+wJQxrDx2si8iWspCHyDpzwlsj3uJsYZCKRiKiCDHx2soWJGSIiIhllJHhnt3EiX8fEDJE+8LdKenBm1yrEHdqidhjehQ0ZSWVyHoJn92/A2f0b5NsBkVM8x0rBX+0AiIiIvFnepQMA7lM7DCIiItIMtr6nG1KTLqDn0RcAAMkdL6scjRdhbzjyUnk5mejx70QAwOV2tyMoOFTliIjIU+wxQ0REkmB7CXv4UEikRxy2hMg78LesTezJdENuRpLaIZATPF5JS/Jzsyx/F+TnqhgJ+TbeX0mBiRkiIiIiIjexkoaIiEjDJBxHigle0irBxeNc5DFMDnC+PfUwMUOkU6wOIiIiIiIiPWJFNymv1BM0Dz9SAOu6ybuxVlIKTMwQEREgmtWOgMia2fYxmXDusMKBEBERERERaQ97OpB+MJFjCxMzRHolYddsIiK9yLp4UO0QyGfwQZeI5MHeIhwOkpTG3xwR+RA3E3auDolXMTwP28LEDJHX48mPSFVsxURERKQiXoeJfFOZisbSFY/MCxIRkQYwMUOkW7ybJCIikouzqyxbexMRkRQEVssQkcwEDl1OpEm8AyDyAqKduRiKSV9xdOXsIcQd2ir5domInLE3jvJNRXE4f+QPhaMhIiLtc3wvLLKyilQmgscgEbmOo9oTeQ8mZoj0SsWrcdTWe9Ft73hciz+tWgykQbxDJBVVEgrRdfc4pF+LVzsU8hEiz3lEOqG9oczY445IaWV+c9o7LZAXMp7ZAgAwm03y7USUcdtEJDsmZojIY1lJ59QOgYh8jLOJCTOTLyoUCRER6YHAGljSOA5lJhPmP0llvVNXAQASzhyQdLuln4dSLhyXdNvknRyPskNq8lc7ACKqONFhuzs+jBIREbmLlbmkpuzsbBw4cAAnT55EWloaDAYDwsPD0bp1a3Tr1g1BQUFqh6gbWuydwvMLkfK0eC4g3yBvpTgr3MmxgvxciEv7IrFyJJqM+8bmOvaGC5cWz8G2MDFDpFtaOKnxoZJKUeRiTuQMj0Mi0q+LFy9i0aJF+OWXX1CtWjU0b94c1atXh9lsxrlz57BixQrk5ubinnvuwfjx49GkSRO1QyYi0gHeHxKRb7r47yb0FBPRMCcRyWoHQ+UwMUPkBUSzyIEJNeJK7BFkJZxEyz4Pqx0KaQUTVh4R7TxAO23Nw+ImxWihgQR5k48//hi///47hg0bhrVr16JZs2Y214uLi8PmzZvx1FNPYdCgQXjhhRcUjpSIJGXg9YSIPMWKIFIJL12SYGKGSK9cnnSYZ0slRW25GwCwL7g6mnW5S+VoiHyPMt2wyRdwqCFSWoMGDbBx40b4+fk5XK9p06aYNGkSnn76aaxdu1ah6PSLv2XSE9FshmBgRav8eF4g/RIMN6pyq9VrrmIk5NN4GpWEW4mZ/Px8bNy4ETt37rSMdywIAmrVqoXWrVujT58+GDRoEIKDg+WKl4hssNeyvGSpOvv1bcbEYwCYmCGSmuAsKS1ynGVSBseqJ6mNGjXKrfX9/f3xwAMPyBQNkcxcbmRG5Blep0kzeL4jjXP6jC0J1h/a4lJixmg0YtGiRVixYgVuuukm9OjRA3fccYdlvOP09HScPn0aP/74I9577z089NBDePrppzkpJZGseHEnjeENJxF5EZ7RSA1XrlzBsWPH0K5dO0REROD333/HN998g/T0dDRr1gxPP/00IiMj1Q6TqOLYw5WIiCTC3rFlKVAefFiShEuJmQcffBD9+/fH5s2bER4e7nDdhIQErFq1Cg888ADWr18vRYxE5IyZLcSJyDc4G6qMPfmISK927NiBiRMnonLlyjAajZg4cSLmzZuHUaNGoVmzZjhx4gTuv/9+zJs3D7fddpva4XoNDoFJWiKyn4d82IiM1MLrDKlJM6c+zQSiKS4lZpYuXYrq1au7tMH69evj+eefx2OPPVaRuMhFp3d8j9B6LVG/RSe1QyGlKXxjmZxwDslHfkaz/hMU3S/5prhDW1GYnYyWfR5WOxTSgNM7vkdAaBiadhzkfGU++JBCeKSR1D766CO8+OKLGDduHFavXo0333wTb775JkaPHm1Z55ZbbsEHH3zAxIyGXb0YjYLcDDRqdavaodB/CvKyEX98GxpFDURgkBaHXWdllRz8jZk3/sGLNnkTD553TLnpMgRCRBXl0qxy9pIyV65cwcmTJ5GTk+Pye0g6cYd/R6/jr6D91vvUDoVUpkQL8cY/DULfCx/hwk+vy74vom57x6PX8Vdx7VKM2qGQypITzqHX8VfQbe8Trr2BD95EpFPnz5/HgAEDAADDhg2DwWBAhw4drNbp1asXEhIS1AhPt5Su8m6zaSA6bRuFtKsXFd4z2XP1+8dw64H/4cKaF9UOhRR0a9YWtUMgKqaB3lp9zr2rdgiyYl/Diqlo72GRo/h4zKXEjNlsxqJFi/DUU09h6dKlyM/PxzPPPIP+/ftjxIgR6NatG+bMmYOioiK546VS8q+cUDsEUpPCF/cQIR8AEHH9gKL7Jd+Wk3ZZ7RBIZTlpV6z+7XRiQpE3hSQNjlVNSrvpppuwbds2AIC/vz9+/fVXNGjQwGqdNWvW4Oabb1YjPHJTxpUzaoegbQo+y3TK3wsA6Jnxs2L79JRo5rVHPqy4JSIibXFpKLOPPvoIv/zyC+68806sXLkSmzdvRkFBAdasWYPmzZvjxIkTeOONNwAAr776qqwBE5GGcMggIlIY5wIg7WAFD0nrpZdewuTJk5GQkICpU6eiUaNGlmX//vsvpk2bhpSUFCxZskTFKPWHVw3SOqeNToiI7OCzUTE2qHKE1xgtcykxs379enz66afo1KkTRowYgXvuuQfffPMN2rRpAwDo3Lkz3nnnHUyePJmJGSIVKHkxFni9IwXxRpOIiHxF79698fPPPyMpKancsurVq2PYsGG47777UKdOHRWi0y9WR2gU7/GIiDzEEQLIDQrcCIkcTM5jLiVm8vPzUaNGDQBAixYt0KVLF1StWtVqnZCQEOmjIyIH1D/tsdKc5OYdLV944+wJT88vSsy5RQQAIls4kwwaNWpk1VMmJiYGkZGRaN68OZo3b65iZPrlHfcS5Ct4H0PkfdgrjojscWmOmR49emDWrFmIj48HAHzzzTdo2bKlZfnRo0fxxhtvoH///vJESeSjMvIK8dWei0i4nudwPYcVmBInT/hwS/bxhpM0gAljkoyTY0nkOY/kkZ+fj7Vr1+L+++/H6NGj1Q5H99iGk4jKCixIVTsE8iG5V8+qHYJF2tWLiPnxZSQnnFM7FCKCi4mZt99+G6Io4rPPPiu3bPPmzXjggQdQv359TJ06VfIAyRFWPnm7mb+dwaK9FzHuuyPllrHVBfkCr6hj94bPoCbRuscRz32kFfxpk9TOnDmDmTNnonfv3li7di1GjRqFnTt3qh0WkTx4PSdFiVZtyLrm/KVeKORTsjKS0euEfHWl7o4yYFg3Br1TfkDVnx6QKSLSI2Wesfn0ZItLQ5mFhYVh6dKlMBqN5Zb16dMHu3btQnh4uOTBEfm6g/EZAIp7zjjk6GIs4wmW88044JNlI8eH5jBgZM3Zw4co8pghabDKkJR27733IiwsDB9++CH69Omjdjheg729lVFkLMD+zyahqEFv3NyLFX4eM/M+hsibFBbkSr5N6+ch984ZLcxxAID6uCphRLbF/rsZYvR61Bs6ByFVasi6L/aOVZdoFl3s+kFluVVsgYGBAIC4uDjMnj0bABAaGsqkDJFMHOdU1Lrw8OGWiIiIj38ktfXr1+OOO+7ACy+8gAcffBA//PADMjIy1A7LB/DeVgpntn2Fbqnr0fPoi2qHojsCryhE5IW675+AWzM3I/6XmbLvi40wypK/PHjtkobLiRmj0YiNGzfi4YcfxogRI5Ceni5nXES6d3bfTzi1/h2IFWj15PqJTp2LEIfX9yKC88vBqZ/fw5k9q13aXMzq13DpJIdfIQmUOjbTkxPQ+vSnjtf3ivHvSBd4DSSJRUZG4u2338bOnTsxYsQIrFu3Dr1791Y7LJKB4IXXKiHbfuvrU+vfwbkVT1g/F3lhGZC2sUU9qcHdocbc3r5Z++fS4JwEtUMgJzw5TkUmwyTh0lBm7733HjZs2ICmTZti6NChWLhwIUJDQ+WOjUjXehycDADYd6gjmnUe4tE2HPaYcXWIMolvBEq3ROBQZr6lb/x8IB5I7jHK6bq9r60Arq1A8i2XK7RPuW9kSV9uXtXN6Tq8QSSl8EgjuQQHB2PUqFEYNWoUYmJi1A6HPOTLc6IVFVkPw9w3YQEA4MCJ7aitRkA6wvsY+bBFPZE6+Nvzfrx2ec6lxMy+ffsgiiK6dOmCzp07MylD5IbC61c8fq/vPs4REf3H3TljmMwjifAhktQWExODuLg4m8mZoUOHKh8QkYvObpiBejZeN5Wea8GHE1dliSwLBbCMSR1yJOmtGy/av1+N/mMRakm+d0/wnlpd8pz/tDCUWcyfi1Hr7A/wG74c1Ws3VDscj7iUmFm/fj2OHTuGH3/8EcOHD0fz5s0xdOhQPPzww3LHR0QucNirgDf6pGe6rGTXY8zehOVPSuH1leTzwQcfYPHixahZsyaCgoKslgmCwMSMW3hdUELpUm6d9JNqceiRNw5tR0TF1BwBos/pGartm0gJvWPeBgDs/3Uaqj+6XNVYPOVSYgYA2rVrh3bt2mHq1KnYsGEDVq9ezcQMkarUrxAS4fn8OaQx7vZKsEmGY9IrHlS94TMoj8PYkdZxrHqS048//ohZs2ZhxIgRaodCHuJ1zDW1Pm8AAIgdfQBVw2z1s/EtPG7kIkp23Y5ZPRWNkrdBfHgzQqrVlGSbRB7jKYOckueZRUvDl/kX5TpfSaOcz/ZcRmhoKB5++GGsX79ehnCIqDSDi71dlLyBNzAZQ27ITEvEme8mIj5mn4db0M7FnnSCFRpUypk9qxHz48swm01qh0LklipVqqBt27Zqh0Gy0ee1Kun8cSR8dR8uHPtb8m2bVo2WfJtEcuh97Rs0FhNwadt8tUMhckvZ+b+U4mh4YLViIomZWU/oKZd7zJS4du0aFi9ejLi4OBiNxnLLV6xYIUlgRORkFDKVGuo2FBPV2THpUvpPz6Fn/m7gzw1IjrysdjjqYKKASDU9Dz8PANi1sx1a9h3j1nudzTHDHjMkp1dffRUzZszAlClTEBERAYPBuj1dRESESpGRL6v+6/jiZ4GdjyC5nfv3dY7Oqn6i7ybQG229MRIJe8zoCCsiyQVyzDGTdHwrWvz3tzvnjKoLIrUw8IqVGgtuxtm7N6HuTbeoHYrXMpz71ek6nhynWphj5gb9XjvdTsw8//zzSE5Oxh133IFKlSrJERMRuUl0NAyVnDf3fHDwHoLbHShdUqcgrkLv11L3WFKJm8cmKzTIFnNWktohELklPz8fJ0+exNixY60elkVRhCAIiI6OVjE68lV1zMn2K/VcuF47Snj78tW7BrLUDoE0oNCYD1NRISpVrqJ2KCQhd55Ncq6nujQ8Xu9T0zyKJUQo8Oh9cqokFCL37znAODbyl8utWVvUDoEccDsxc/LkSaxcuRKRkZFyxEPkheTKIstTkU5EpCnuzn/ExAxpgSTzdpEvmzt3Lu6//37cf//9bAwnNzOvG1pggO/2mCECgICvuiAC6Yh/LJrJGR90eteP6HX0Reys9TAi75/j8vscNtIlclHCzuVoVoH3u9SgVtb7LS313nGP2zW7UVFRuHTpkhyxEFEZrnYndNgKQ4aus4psm4iIiMhHGY1GPPLII2jWrBnq169f7j/yHgV52Ui7elHtMFSXHNxc7RC0gQ1M9EPiR+FaSAcAJMUelnbDpCpX63RaHH0XANA7+Ts5w/FiPHe6QzSbce1SjGUezj6XP1c5oorS7/fvdo+ZWbNmYfTo0di2bRvq169f7iQzadIkyYIjJ3jT5vUcXcID4ncoFoddPAYdYNlIwVxYfi4z/eGxQKRHzuaQ8eSXfXbvOghnN6PhqE8QFBzqWWDkE8aPH4+FCxdi2rRpCAoKUjscXdNmM6IbUVVZ2gkNkINTQ7ehVv2bVYxJXSa/YLVDIG9WwedWzitHnpJ/mGU+a5Itjo+L6C2foe/5udhbdQiaj1mkUExki9uJmY8//hjp6emIi4tDQkKC1TI5JrUi8mWOflLds35TLhAilYSe/BroMULtMEhP2J2fbPDkobjsXAgZKQmoZbXcfT0OTQEA7Ph1LloNn+7BFshX7N69G0eOHMH69esRHh4OPz8/q+V//vmnSpGRqxw/G984v1RDDgAg5cQfXpSYsX3OdXgmlmm+QzUYC/Jw5fR+NGzdC37+ble5kF7IOZWr2Yz46N2odVMUgkOq2l0vPzcLV+OOoGHrHjAY/OyuV1FFxgJcjtmLBpG3wj+QjQXIPQGmXLVDsMjLyUTyhaNo2KonBIP3XHfcFXX+SwDArZmbkaxyLL7O7buEP//8E0uXLkXXrl3liIeISnG90oetJMg7VSlKVTsECbDRgrJ4PiR5FBnzrf5dkdaz/rlXKxoOebnhw4dj+PDhaodBRB44sHomhl5fgQ3nX0WP+ya7+W7ex8hBFAQIOiramG1L0Of0dJwzNEHwMzvtrpezYig6m05jx+X/Q6tB8o1ec/7HyeiRuRm7j9+Hmx/W+5BHXkYHo5i0LTzmsPK/bGMoORWuGIJO5gvYmTQdkbc/rth+vZ38PcO8l9uJmYiICAQHs5sxEQF8cCAi+bl3nuFNISmFw5qQ1N58803ceuut6N69O4YNG6Z2OEQK855zam7qZcAfiLsYhx5qB0OlSHyMyXXIimaExa0DADQ3n3dYoR1pOg0AqHNhHQD5EjM9MjcDAHpmbEAymJiRg6f3lXz2KeFa+TUzXwAAVIv9CWBiRnWpiXGoWa+p2mGoyu3EzJQpU/B///d/GDduHBo0aAD/Ml1zu3TpIllwRF5BiSH+zLwYk7fise2z+JBBKiv7gMwhe0lu7du3x7Zt2zB79myEhYVZkjRdunRB5cqV1Q5Pt5RsiUueE3mKJbJg4w8id/Far0eR6/ogeeJltcNQlduJmeeeew4AMG3atHLLBEFAdHR0hYMiomLuVAIlJ5xB3pY3YO7yDG5q10/GqG5gvSk5U9HKkDqma9DOiLSkDj6YEpFvKD18WWxsLPbu3YtVq1bh//7v/9CkSRPceuutuPXWW9G+fftyjeOI5Hb1YjRqCUWybb9G9jnE/PU1WvYd4zXj/vNZiexJTYzDteO/oXJEG+SnXEDL28aUWYP3v+QqnmhIfa703BJlPFb13AjHpTt6k8lkmXAyJiZG1oBKMxqNmD17NjZt2oSAgACMHDkSzz//PARBwKlTp/DWW2/hzJkzaN68OaZPn442bdpY3rtp0yZ88sknSE5ORq9evTBz5kyEhYUBKD5gPvzwQ6xZswZmsxkjR47ESy+9BIOX3ACS93D1dkyECMPGZ9DJdBrYuQfJ7Xw740za0UBMqtD7Q4R8L0jM6PcmQY9E0ax2CKRJ7v8Ond3gX6/WCoGJcajlaUhEDjRr1gzNmjXDI488ArPZjBMnTmDfvn34/PPPER0djX379qkdIjnhqJLC9vlF2/cLbTYNdGNt9yuVWxedAk69jr0hNdC8671uv19bPP8uOSyRTEQRWvqNRawdhEghFzhb/O/91epa3U+432NGO5+NPMNvkPRGFNyrQ4/f9yOayBSLnrlUij179sSECROwbNkyRRMz77zzDvbs2YMlS5bgww8/xKpVq/Djjz8iNzcXEyZMQOfOnbFu3Tp06NABTz31FHJzi6vvjh07htdffx2TJk3Cjz/+iMzMTEydOtWy3WXLlmHTpk2YP38+5s2bh40bN2LZsmWKfS7yMRW4uXZn1JRapopVgBORXHibTeSNzKH1UFig/9QxaZ/BYEC7du0sz2M7duxQOySi8iQa7rEw8YQk21FTF8MZtUMgjasqWN8/5CeeUikS0gpPz6BekcxV4zP4eKc0NYZL9L92VLZt63n4R5d6zGzfvh2HDh3C3r17MW3aNCQmJqJz586W7vSNGjWSPLCMjAysXbsWy5YtQ7t27QAA48ePx9GjR+Hv74+goCC88sorEAQBr7/+Onbs2IEtW7Zg+PDh+PbbbzF48GAMHToUAPD++++jX79+iI+PR8OGDbFixQpMmTIFnTt3BgC89NJL+PTTT/H445z4ifTJKy7GREREWmajVZhoZg8tkkdkZKTdIW0DAgJQq1YtDB48GM8++ywCAgIUjs67yDm0BvmmFoYEAECkcFHlSKiEUOr/V2QLyhAhcl47ItI4wcFIFZdj/ik3qoCcZzWvH8osKCjIkoQBgKysLOzfvx/79u3DihUrkJeXh+7du6N79+64915puh0fPHgQoaGh6Nq1q+W1CRMmACie36ZTp06WhxVBENCxY0ccOXIEw4cPx9GjR/Hkk09a3levXj1ERETg6NGjCAwMRGJiIrp06WJZ3qlTJyQkJODatWuoXbu2JPETSYG3Y0RE7t1kCW52qSayx5WWVxw6j+Ty9ttvY/78+Zg8eTLat28PURRx4sQJfPbZZxgxYgRuvvlmfP755xBFES+//LLa4Wqcfh/W9YtlDgDBKPDgXSw7bVL2exFdG9zGoqXpLJJlioUqSOZ7RTbSJU9InsgocxzmpsVLu30v5tGskVWqVMGAAQMwYMAAAEBycjL27t2Lffv2SZaYiY+PR/369bF+/XosWLAAhYWFGD58OJ555hkkJyejefPmVuvXrFkTZ88WD9BpK8FSs2ZNJCUlITm5+HJVenl4eDgAICkpya3EjFqNGGztNzczFSHVaiofjJcrKesKfdeC4PH7S7eUdLSNsstK/1twsF5FCYK025SkvDVEy5/DVmyuxmtvPWcTtXr+O/DsfWqxF67ePofqSs4vbpZbyeosb/np6ZwtwLM4S7/HUGYDggCHD9vO9udOPFopa7X370uWLFmCd999F3369LG8FhkZiXr16mHGjBmYMmUK6tSpg8mTJzMxo1H2ejx5L1eS2axAdIZFpCcyPAhbtutr5w/ytp9+0vnjrs/D6HPXS+/geI4ZNl5zlduJmfXr19td1qtXLxw4cABRUVEIDAysSFzIzc3FxYsXsXLlSsyePRvJycl48803ERwcjLy8vHLbDwwMhNFoBADk5+fbXZ6fn2/5d+llACzvd1XNmlXc/lxSCgy88fUlbn0P3Z9ZoGI03q0i33WlSgEID/fs/X5+N050jrZRo3plmEr9u/S6QZUCbL4uheBK/pJvE1D/tyWFgEB5ykYu/gF+Lsdrb72U0CCP3ufp/rQqL8f63wEBxedqbziulRReMxSVKociJaSSW+8LDi6+prO8laOHsg4MdP0cV0KAaPUec0FImW36I9TOec/ZOdXP3/14AH2UNUkjJSUFdevWLfd6eHg4rl69CgCoVasWcnJyyq1DZbHCRxnOqxULUy/IH0YZGdfiXa8c9IAoiohLzUWjGsEI8LOupNLzmPdkrW3BYXl34GUZuSuxR1Cw4wNU6vsK6jVtp3Y4Xk3Q6LGTn52udggOefv5WVD7sNDocalFbidm1q1bh3///RdBQUFo0qQJRFHExYsXkZeXh4iICGRmZqJKlSr46quv0KxZM88D8/dHdnY2PvzwQ9SvXx8AcOXKFfzwww9o3LhxuSSK0WhEpUrFlTdBQUE2lwcHB1slYYKCgix/A0BwcLBbMaamZqkzR5VQ/GBuNBZZXhNz05GSkqV8MF6upKw9+a7D//vf/PxCj78bk+lGlrnsNsJL/Z2WnoNqpf5det2C/EK723BHuI3XcvOMkh53FSlvrSgpp0KjtGUjtZKyLlFUaLIZr63v3d7nys52PFyDO+VRer9aLkdbCnKzUb/UvwsLi8/Vej6ulWL1vadmo1KuiKycfLe2kZtbvD7LW356OGeXHFNGY5HL5xJ755/r13NRul+10ViErKw8m9twdk41FZndOrdppazLXjtIPj179sSMGTMwZ84cy7NQQkICZs2ahe7du8NkMmHt2rW4+eabVY5UD7R3gvLu6iD7+sbNsfq3EvN0Zf/8rKzb3xqTjDc2x6Bjg2pY+ECUrPsiz4nQWS82HYVqS+MtD6I6spHy6xGIE0+oHQ4RyU50+E87LxHg5sCVAG6++Wb07dsX27dvx7p16/DTTz9hx44dGDhwIO68807s27cP/fr1w7vvvluhwGrVqoWgoCDLgwgANGnSBImJiahTpw5SUlKs1k9JSbEMQ2Zvea1atVCnTh0AsAxpVvrvWrXca0sjiur9918EmonHm//ztGwl+W4cbMNq+2YHx4JEx4hSvwO9H8t6+j268l26+5074mlsapeT2//Z+uB6/Bwq/Fe23EQRgOjek2nJZtT+LL7yn9bLWurzj61ldo9FN7etl7ImZbzzzjsICAjA7bffju7du6Nbt24YMGAAgoKCMHPmTGzfvh0//PADXn31VbVD1Ty91G/2OTcbmenX1A7DZckJZ9QOwSLh7EEkLRqCC8d3lFsWZkxweTund3yPK1/dg+upV1x+z5qjxeseuny93DJPWmRz7jLlXFzyAE5tnON8RQnkZmcg4auhiP5jke0VrJJGou5b81dHNgAgHBnqBqIrnn3nojdUd/MGU3I9rv/ssPGD3OcYrzguFeJ2Ymb9+vV46aWXULVqVctroaGhePbZZ7Fq1Sr4+flh7NixOHToUIUCi4qKQkFBAc6fP295LS4uDvXr10dUVBQOHz6MkjFqRVHEoUOHEBUVZXnvwYMHLe9LTExEYmIioqKiUKdOHURERFgtP3jwICIiItyaX4aIwAsoESmA5xmSgAetZF17YOHxSfKoXr06li1bhl9//RXTp0/HrFmz8Ouvv+Krr75CrVq10KNHD+zduxcdO3ZUO1TN0+Kv1F5MV395W8kwKsS86Vmrf1dOP61SJEDDrWPRtvAYuux4qNwydyqfeh1/BVHGw0j55Q0pwyOtKPPs2jl/N/pe+kyRXV/87UO0N/6LPqdnuPgOfSdmiJQm+WT2XuDSqd2q7VtgIwOXuZ2YqVy5MmJjY8u9HhcXZxkmLDc31zKsmKeaNm2K2267DVOnTkVMTAx27tyJRYsWYfTo0Rg0aBAyMzMxa9YsnDt3DrNmzUJeXh4GDx4MABg9ejQ2bNiA1atXIyYmBq+88gpuu+02NGzY0LL8gw8+wP79+7F//358+OGHGDt2bIXiJZKD67djjk56vKkjhfDiS0QEAOiUvE7tEEjnrly5gitXriAoKAht27ZF69atERgYaHm9UqVKbg/LYzQacffdd2P//v2W19555x20bNnS6r9vv/3WsnzTpk0YMGAAoqKiMHHiRKSlpUn2GdViNpucr6SSgMIMtUNwWRWT9bHgZ3ZvvlZ7+lz+ApcXD3drmLOaKN9bpSICja5vj09ayomP2YfsL3rg7P4NaofiNkNBplvrB5myna6jxFCAVF5Bfi5SFg5EzOrXXFs/173v3l2iRhvLan3oQG1H55kio/XQ8qZC94YEr4iyxyF7zLjO7Tlmxo8fj9deew1nzpxBmzZtIIoiTp48ia+//hqPP/44kpKS8NZbb6Fv374VDu6DDz7AzJkzMXr0aAQHB+Phhx/GmDFjIAgCFi5ciLfeegurVq1Cy5YtsWjRIlSuXBkA0KFDB8yYMQPz5s3D9evX0bNnT8ycOdOy3ccffxypqamYNGkS/Pz8MHLkSIwbN67C8RLZ5o2nfCIiIh3x4KG1Ii3vKgsF4JTsVBH9+/d3WKkRHR3t1vYKCgrw4osv4uzZs1avx8bG4sUXX8SwYcMsr4WGhgIAjh07htdffx3Tp09HZGQkZs2ahalTp2LhwoVu7VtrLp3YgTpqB0EA7FfcdCj4B4fPHUKDmztLsBf1nsVYLSWtm/4cjzBkosm/E5Hc7T61w5FV66JTTte5EncUHPNFeXG7vkWfomjgWjSS4XwKh5y9+r5mkn7EHdiAegruT3B0feUF0GVuJ2bGjRuHsLAwfP/991iyZAn8/f3RvHlzTJ8+HUOGDMGBAwfQoUMHPPvss8435kSVKlXw/vvv21zWrl07/PTTT3bfO3z4cAwfPtzmMj8/P0ydOhVTp06tcIxEWuC4lQTPiKQQwe1OmESSEzTaaoz0r/zDhwiYebyRPP7880+rf5tMJly6dAmfffYZ/ve//7m1rXPnzuHFF1+0eb8YGxuLxx9/3OZcm99++y0GDx6MoUOHAgDef/999OvXD/Hx8ZaRCPSg7C/XbCpSJQ5X6Pka5uaUcM7ppTeAgwSqZ3PM6PcYkFuomFuxPJvGW/BbuHgMiBru/efVitzrHWgwFzhfqUJ4zgDknzNFD0Q37m+kGPrNca8YHpeucjsxAwD33nsv7r33XpvLunTpgi5dulQoKCIiIiIiNfEBj9RUv379cq81atQIVatWxcsvv+zW6AT//PMPunXrhueffx7t27e3vJ6dnY2rV6/ipptusvm+o0eP4sknn7T8u169eoiIiMDRo0d1lZhxRo2KcEdV+SQtnssJkGn+Cb0kesi7sZGQR3zl2qDakIc2hrmXtcR13KjB7cTM/PnzHS6fNGmSx8GQm3R84JH2ZeYX4p+LGejdrCaC/NkTgoiIfJtoq1egwTce6kg7BEHA1atX3XrPQw+VnxAdKO4tIwgCFixYgB07dqB69ep47LHHLMOaXbt2DbVrWw+UU7NmTSQlJbkZs1urS8rWvsu+JgjyxCjY2b+9OJy9rkXWsboXuLPygYffi7P3uLJNAaLL+y69mivHm9PtufC5S5br6ViRmkfHhp3Xr8XHoE6jSA/25fpxUnrnTo8TG+coV+JS6njw5Jh2d11NH9tOvkuXNiHBeerGyhUrL7nKOvfiP27tp6JxuHPelmqfnuxLzn3aOickLhlmNeRhyTqlE1Pl3mfjNZv7s/qX4/L3dJnLhPJlrLX7T3vcTsyUniwSKO5Wf/nyZWRmZuLOO+90d3NEJAE5Wvo9u+4ETiRmYVT7CLxye3Ob65jypJ1ok/RHNJtxafnDxf/o8oy6wWiVjdYipG9nv30GobnxqD1+Pfz8Pep8TN6CrRRJJrYaw+Xk5GDLli3o2bOnJPuIi4uDIAho2rQpHnnkERw4cADTpk1DaGgoBg4ciPz8fAQGBlq9JzAwEEaje8O41KxZRZJ4PVX2bjUkpJLVv8NqhKCaDDGGhFZCeLid7QqwuczgZ7D/Hq0RBKtY4w2lk9fOayQCA/1RMyzU7vIqVRyUnwNl35MtwKojkivbNBgEl/cdEODnYNuub6dEWI0QVKnu2nvU/m0prfSZx91y9ff3s9uWInvPF7il4zK34wkI8Hc5jtL3i7beExR4Y3mV0GCcCmiD1oUn7K4PAJlJla3+rdS5w939eBKXlo/t0t+VK5/Nz1C+YY+t910RBMu5yp0yq1IlqELfvVxl3eP8p1aXAkcx+vk5Plfm5+XAWJCPqtVr2l1HENw73wpunOelJOexfbGS9T1bSEgl3GI8aPVayWdOt/Faieo1QhDmQtlcqhxk+TssLAQhVW68p1JwQLn9xvnZPglL8T0YDOXvn7R8HinN7dqEb775xubr7777rsMJKolIXvarhjz7XZ5IzAIAbIm+ZjcxU//sCmDAkzaXkW/IyriKznk7AQB7skeqHA2RMnpc3wgAOHByB26K6q9yNOQKKYYwkfY2l/fM5FjZxnCCICAgIAD33XcfHnvsMUn2MXToUPTr1w/Vq1cHAERGRuLChQv44YcfMHDgQAQFBZVLwhiNRgQHB7u1n9TULNU6+gtC+QfenOw8q3+npeegUMySbJ/hlv3kIyUly+YyiLAsCy+13GwSy71HK8LLviBax2q2SlQ7/8KNxiKkpGShjp3lWVnly8+V2Mq+p74pweqU62ibJdsxmx2vV1ph4Y15Pmx9p65sp/T6aenZKCgKtLsuUHxc16xZRdXflhqqlvrb3XItKjLZTcyYioocbk8QAFvVwYWFJpePE1OR9XFS9vdUUHBjboisnHwgIAwovLG+LVlZ1ucyOc8dFTmm3YlLD8d2QUGh5W97n6305zfZGErK5vtEJ8vtbD8rK8+lOOyRq6xrlLkOlI6xbFwmJ9e+Sp+1QFUhD5fGnUDl0OpWy0q2JYquXT8t65uVvd4qcWzn51vfs+Xk5Jdbp+Qz+5V5rfR3kpGeA7PBednk5d6YPyktLQd5BTe2mp9rHUtKShZMJtsfvCLfw43rttmyHS2cR0picIVkzTzHjBmD4cOHY+rUqVJtkpxhIkwfFPia1DrZ+InanTyVlGEudaOp1Ztn1dka/oic8rQnoKjgtdHMSVeJSCb2GsNJSRAES1KmRNOmTbFv3z4AQJ06dZCSkmK1PCUlBbVq1XJrP6Ko7j2Cs8SsXPGJcLxde8v0dD9VOlZ3E+DOygcefi9l3xMgmBwut7NrSfbtyXbcOR7V/m2pyaPvx86DuafftztxWKUtnb2nTG9cV88VSh0LnhzTnuxDD8e2XMeNO9utaFkpVdYV+cyhQnES8mrcMdzUto/H+6jo+lKQs7zLbtbWflx5zdVzYulVzGaz1XvKPsuLov0mG5KUh41y1ct5RLLaou3btyMoKMj5ikS+RvUTgXwBmJkc9CL8Lsk7CHq4+yJdstUzXASHKiTpvPLKK4iPj3d5/QsXLuCll17yeH+ffvopxo0bZ/VaTEwMmjZtCgCIiorCwYM3hsBITExEYmIioqKiPN4nleC1SjDmqB2CJPg4pA/qT/St9v5JNXw2IS8lODyv8RnJVW73mOnfv3+5B9OcnBxcv34dr776qmSBEZHrBInnsCid3RYdPDiK0uV2iYh0h0O4EpGU7rvvPjz11FOoX78+BgwYgB49eqBhw4ZW68TGxuLQoUPYtGkTEhMTMW3aNI/3169fPyxatAhLlizBwIEDsWvXLqxfvx4rVqwAAIwePRpjxoxB+/bt0bZtW8yaNQu33XZbuZjIvoSzBxFQKRS1G7ZUOxTN8ctNcvicobbsgiIs3nsJAyNr4Za6no1T70kygA1M5FHco0tP9216itXXyPPdeJo8lGO+YW+UdOEEIIpwr8+v95L9qOFh6TK3EzOTJ0+2+nfJeMdt2rRB48aNJQuMiNRzLfvGeJA5BfaH6lG/5RFVxKHfvkFHCbfHOmqqiJysdMlvlM/uXYdmh97GxR4foEmHO5yuH71lPm6OXYzkId+gbpO2EkdDeidHIi454QxqrH8AZxo/jNZ3e97zgbxDz549sWHDBvzyyy9YuXIl3n77bQQGBqJatWowm824fv06RFFEu3btMGrUKNx9990ICAhwvmE72rVrh08//RTz5s3Dp59+ivr16+PDDz9Ehw4dAAAdOnTAjBkzMG/ePFy/fh09e/bEzJkzpfq4ipFijilPGLOuoevucQCA5ImXXXqPksNxkmNf7rqAVUeu4LuDl3HgRftD50j9jbGO1RF5CkdQYhinUkdKZtpVVg7rmkzHoZfVZMtyNfPwGmksyEPbXwZJHIy+yX63IXHjcW/mUmLm+vXrqFatGgBg2LBhLm249HtIJrxro/84bm3m/inX1VYXVyKGgL9y/eq4d5LaIfgG3pS45OJfC3GTrQUVuNb1ODQFAFBnz3gkd3BeKdYn9j0AQMrWV4CnfnW+A84fpB8avWXK/e1NtEYy6l38BMlgYoaAgIAADB06FEOHDkVmZiaio6ORlpYGQRAQHh6Oli1bokoVz1rvA8Dp06et/j1gwAAMGDDA7vrDhw/H8OHDPd6fLzOnXXD7Pb7VW8K1Z5Rr8aeREX8MLbqPgGBQ7robm1rxodbUbMRmNptwbvcq1GzeDTXrNZVkm0VFhYjdsxp1Inujem32nHNH6Ur3jKRYF97h/FzgeBgh8hkavW5oKar8XFuTy/P3IyX23PKcS4mZxx57DP3798cDDzzgdLLHxMRErFy5Etu3b8f69euliJGItKpymNoREJGXkHpIxoowwH5PQSILCR5ADGKRBIGQt6patSq6deumdhi656xynJUJ0pOkustQvJVbfr4dALDH4I8W3V1rJCoFlz9DmRbc0VezNNEb4sxfy9E75i3gmOs9tpxuc/OH6Bs/H2nHq8A0MVqSbfqKQqHUfMxOWv3rbdA1kgZHI3HO0xKyPU+k99FWstYbS1geLiVmVq5ciUWLFuGuu+5C06ZN0aNHDzRr1gw1atSAyWRCRkYGTp8+jYMHDyI2NhYPPfQQVq5cKXfsRPqgwLlRFOW7jDu8b+SDrBfhdykXLd0eaZloLzHDYV2IiMjr2L62lR3KLDUxDmmXjqN5l3sU7S2iGLP9Rhn5+xaioGEry79N8f8ACiZmPL3/eHfrWZQMfBYmZLr9fqnm3Qm4vEuS7ZQWnvg3ACAMWUiWfOvalHb1Iq4eXAv7g9m55lJwa8cr8H5X00xFRTjzx5eo1qK32qGUp6HGbVrlK/OCKjFvW05WOi7uWIZ6XUY6jsVGXaFvfAvucykxExgYiEmTJmH8+PHYuHEjdu7cifXr11u61desWROtW7fG8OHDMXjwYISGhsodNxG5jBXupAzm6XyT2WyCweCndhgWPAxJajeO8fKVomxpT6R96o3b77B1k0tbiFxXXB28B0CLbvdVPCQZSd1M7NasLdi1YRoaSLpV10nxaboaTvtMAkPf7P8eq6wZhpa4Zmep60eJ+b/hb4+am9quJOb9hKad+WMB+sTOAWLnYEezV917s48kBcpy51O7ep12uJaDhbZ6knjbnD5KubZ2Cvrm/IXLF78H2r1SaknZ8mT5usqlxEyJypUr44EHHsADDzwgVzxEpAGun0J5svUevnnDSBVTkJcNYWlfXA5pi6bjlqsdjuL4q/F+CecO46bfRuNo4yfQoMcYybbb4/rPSMYXkm2PiLyb6eIeQOOJmZDCNMm3WS/9gOTbdJWr1/iyCXo+HXmXCLtJGfnw/lJ7Aq4dufEPd5NoLq5fH1fd2+5/CvNtzZ9CVgy++aty1FPI02tVq+x9gAA0EJNw0c33BhozPNyrd/PC/tBEvkfOFru+eQkjT/hoYyCfdmHfOtTHVXTL+UO+nbAFIako6M9XUB3Z6HvxE57kiLyEcpcV37p+RZpOqx2CKg7GX5d4i7513NB/yt1j8J7DW8jdM6PGgbmybt9TBkH6z81fhY7YuNnqlL9HhUC0z60eM6QtSowfSOqSpg6Ily8i0r6yDy26GCKKFfVUQZzolexJSEjAJ598guPHj6OoqKjcOfHPP/9UKTIia9Fr3gCqN/ZownstP8+qdYkv/VM/s2ctxIs70WzUXPj7B7i1He8cpke2WVVl2q69vZVvH90sdrnlbxGuRVR2TipSiLvlLvNPsVnROaT/9/fZ/RsgnvsDN418H4FBwfLuWAUO75sdfi3e/Vs5s/MHmBMOQIjopHYoAADRbEafMzPVDkM3mJgh0jCX6yUlnvDN9f164w0/ucO6e6x33/B4jL8TIiJy0yuvvIL09HQ8/PDDnL9Ttzy5L9LXvdSlU3vQ5+pyeDYCj7Y/q605CZTW8/CzAIAd2yLR6o6nVY6GjQnkVH4YKz4/kGtKJ2F7/DsRALB9a0O0vucVe29RhFkUZOk1Ix3vOZ/1PPYyAOCfPNeHXpT805tvfNfnj/6J2lJv34sxMUMkO2VGDJTtkseWOOSALno1kD5IdCwp3eaRdEIsUjsCIrccO3YMP/30E5o3b652KLqnxTO1t/RmMOakVuDdzsuggSlBvS9QSwdOdpLaEeieq71QiCSnwoHnl52o/E6V4GHdlM25VrzwhFDZaH1N9ryuxsU6TDtlWJSd4uF+fZNHiZns7GycO3fOZrf6Ll26SBIYOVe6FY+fKV/FSMjb5WZnqB0C6YD5/Ha1QyA9MxVIshkpqrpcbRFakBYvwd5ICX0SFuKK8WUEBFaSdsNMTpNMbrrpJqSlST+ZOpESpEo8BQmFkmzHE6rV2fG64kAFy0bQyBTLPjoRuddw9zeqyk9a/fOIlnrLCLZ++9oJT7/slaHgp2gYeud2YmbDhg14++23kZeXV26ZIAiIjo6WJDByT/1clrs3Um1s4zJn2PhDm9FYnVB0S3ctISVofdIrfa1U0ZAPqp521PYCVU6Eru0z7PQ3wG1jZI6FpJIUdwQNI7urHUYZrJwh25588km88cYbeOyxx9C4cWMEBFjPL8HGcKR/QoV7XhsL8pC84kGP5rdxRM37eMn2rLNHEV3y+B7VyfskHqacyFt4/IvjKDDlSH2J0PKccVrndmLm448/xqhRozBlyhSOd0ykEXIOJ8VLGDnCocxIdjzGSKN0l4AnXXnlleKx4adPn15uGRvDSYzXGRkoU6axO79FH+NBWbbNejwi0i0vva5556fSF6uRJexdJ1W4fur5ucztxExGRgbGjh3LpIwGMCPp/dS6npberyDAwYmVxyCRT2OtBfk6tmolmcTExKgdAlVUqUvklbOHENGio9O3cHJ1R8qXjWjMlWTL0Vu/xE3nlt3Yrqrfg63nq4o/c50/vBURe1/D5a4z0KzzkApvTw6nNr6Pm+LXomDUOtSoVV/tcJxz42FdKLWua633na/DXgB6IW+dCY8C52w2JvXGglP4M/U88oKyO/RSbg+y2a9fP2zdulWOWIhIg7zxekU2uJkFFM1mj+Ye8vR9+sYEpiv02MqFFWi+hRUgpLT8/HysWrUKs2fPxjvvvIPvv/8eGRkZaodFHqjyxySX1nPnWng99QrO7FkLU1GRp2GpTILrvkTn5T5nZ6GReOXGZisQm1Z7k3fdMx4NxCR03z/B843IfBnse2keGosJSPltlrw7UpEI67mCSYc0dj9oay4XPT5XuUZbZe+LtHps6fm53O0eM3Xq1MHHH3+MX3/91eZ4x7Nnz5YsOHKHNn8cVDEJ1/NdWk/uBwC7N48affAg+cV+9zRuzdyM3VEfoYUb7zu/Yjy65fyBg/1Xo1GrW2WLT1v4O3GFnm+myDdotbKNvNOZM2fwxBNPwM/PD23atIHJZMLvv/+Ozz77DN988w2aN2+udojkROnrWoBYdhL7ip9Pqq28E82Rju3pF9H6Lv21Wu2ZsQGHLz6GivSLkPPOwdPKc6Opgj0peamBYDaqHYJr5KqgtzVROWkH7wdl4KBMrXqbKRCKjrUpPK7avsVyw+4oS6sJI1e4fca/fv067r77bjRv3rxcUobUc8LQUu0QiMiH3Jq5GQBQ+/jnbr2vW84fAADzvvmSx6RdvIN0RdmbKdHTIaIkeFhyPUnE75YqdrwxIUn2zJo1Cz179rQkY7744gv8+eef6Nu3L9599121w9MZ/Tysu3NOqIV0AEBYwp9yheNURVv++/39tiRxSE2E4PGw4RfS8pyuU2QsgLHA+XoVo4/jXjSbkZ+bpXYY2iKaoZfvj1yhwr2elyaPpLxv5j24Z+yVmzE/R/Z9m4qKUJAn/36U5naPGfaI0aZU1FA7BFKVfGPcC4IAka12qJSMvELU+u9vkc1WyBs5OKxF843zLW/oiUguR44cwVtvvQV//xuPa/7+/njyyScxcuRIFSPzBlqYG8q7rx+KfTqZ7kPlbHkrms0I+KoTgsV8ZE44Cf/AIBf27b3HS/yyB9Epfw9O3vOH5flCDoKGKqr5/ORrlD/2Gl/fq/g+9Ya/QmlFru2FM6P2oEbtRrIlBrO/6ofm5vO4MPYYQqqEybIPNXhU2/rHH3/gwQcfRNeuXdGpUyeMHDkS69evlzg0co92bjTIl/C48xpuPCAM/II3ekRERHKqVasWLl26VO71S5cuISQkRIWIvIc+hyVkFVLJc0dmWiIK8rL/e01/5WI05iMcGQgR8pF29YJVgw8AdnrqiEhPTlCgl410TEVFSLt60el6nfL3AADS9i6WOyS7RA8PI08b6HDOOpJbAzFJ7RAkJM81W493AlqXeGB18R8yneOam88DABKOF/cU9pa5i93uMbNy5UrMmTMHjzzyCCZMmACz2YxDhw5h+vTpKCwsxKhRo+SIk4gcEM3SXlbKPq9WZJiC66lXUKVGHRgMfhWMirRI6tZnpqIi5GQmy9pijiTk4akhM+0qKlcNg79/6SFRyx9LmWmJMJtNnu1EJp4ObULeipUrJI8HH3wQb7zxBp599lm0a9cOAHD06FHMmzePz1ukeXL1OMlMS0SzH7ogR6yE3EnnZKv80VqP2KDMi7h5VTckoA4w8aBqcbhTLteWDkW7wiPYf+tSNO14h4xRuUYU7D/R2pg73SVqz2nABI8+VMu/rHYIXsSzY97jIbJ9lqPycjS0RMk5UeYRd0QRotmMxl+3kXc/CnE7MbN48WK89dZbGDp0qOW1AQMGoEWLFliwYAEfFBSkpe645N2K0uI8et+ZY7tw647R+LPKvWj/qHtzkZBvurpsGKKMh9UOg2SUGHcM7X4dgtN+LRD29F+W19sWHrNa72rsIXTdNRbNlA7QHXweJibqSCaPP/448vLy8MEHH+D69esAgPDwcIwbNw7jx49XOTp9CYVyvQxMRUUurunuucP++momEZRurJAUswvNAIQI+ciVcT8CxArPn2OXB8/wbbJ3AQJQH1eRLEEIudkZSE+MRf0WnSTYmm3tCo8AAPyOLAM0kJhRwrVLMQisXAXVw+tLsDXeZHqLSNNptUPQPId1m6z31BgNfB8aCEFKbidmUlNT0b59+3Kvd+jQAYmJiVLERORVZLuptyLvmanula0eve/I8cPoKYiodD1W4ojIW3lnUsbL7hxK8+CjXT/4AwCgpemsw8oF89FvPYtJgtaDjiq5pO6hSD6OrV3JDkEQMHnyZEyePBmpqakICgpCaGio2mHpTuy/vyLc6VrStaQ9u+511C35B3/fCtB3GQsGG/ErUAlZ6eu+aI9U7M9ajKYdB8m+P7cpPL+pp0OZlZZxLR63bBwAAEie6LiHhLOeLqKotT5bRNrn7q/GF35jvtWrTr/P6G4nZlq1aoX169fjueees3r9p59+QvPmzaWKi4hUVP6Upt+THBH5GAVbVfGx2bfpc54K0rL169djyJAhCAwMdDp/Z+nRC8g+U/TG8i+68NtNjDuGImMuGkZ2d2t/vZO/c2t9byXPEE9CuflYvHEoMyWuLHWQCgAoit4IaDExo5Nhh0ofJykXj6CFy++U6vjifSgRecq180dudgYSTm7HTR3uREBgJde2LPOpSfzv/7yF24mZl19+GePGjcP+/fsRFRUFADhy5AhiYmKwYMECyQMk+0Sro917DkrylJ2zn5xnRVZK2eczZeMrn5OomDfdBFLF+cypnhQxb9489O3bF4GBgZg3b57d9QRBYGJGZu1+HQIAiK1zCFVr1FY5GipR64Tz+gZTURH8/N2u5rAiyFrpwwuHGgTRDEC+OU+VGSWjLB5L3uL84a0+Pceq6LDOSp7jnA3s7LsW+y+qht0DAMj8/iH0KDyGnRceROQDH0ALCWHBZvJe/bg85fYdS4cOHbBu3TqsWrUKsbGxCAoKQpcuXfDxxx+jXr16csRIRM6Ilv9XXnaS1T+LjAVIT76IWvVvtr+5cjVN+j3JkWsqZV9C2tWLqFwlDJUqV1Fsv0VFhUhLjEPthi0V26fiWHPrxXhu9HZWD20K/ZavxccgvH4LGAzyVSCRNm3bts3m32WlpaUpEY73cuO3nJ1yWSOJGW1ebypaGV2r0L1JsVuazpaLoCyTqbDCiRnl2BqyS8v3je5/39r6NHL+jlzftmvDC2mr5OiGgJQTkm8zP26n5Nv0Ro5+OvL01PRNhfEHgS7FiZmSeWDbpWyEER+oGZaFWFRoY3hx/X7/Ht2xNGvWDFOnTpU6FnKTITf1xj/0ewySjNKTE9DnyldWr6UuH4o2hcexp/PnaNHtPpe2EyAW2Hydh5336JK7HVjTEzliJeROOudw3UAUWv72g6lC+01a/gA6FPyDXW3fR8s+D1VoW6QCT55vdZGocvDByg6jQl6t9ENewl9foJnM+4v+dR76xL2PfVXuQLOxS2XeG2lZq1atsHv3boSFhVm9npCQgLvvvhuHD3vjnGwy0GY+w+sJIlwq+3pIqeCOyu9EqmEm1ekBYZtnLbv1cL9VmnbK21XqVwTrr8y8wa2Zm9UOAUbRD4FC8XO42c4kSXGHtnhHLxxdPDvqkaflqv73UT96AdDbe+qOXErMjB07FvPnz0fVqlUxZswYhxn+FStWSBYcOVYt46TaIZBG2HsAST69G2X7xbQpPA4AqHTiG8DFxEyYOdX5SuQVQoR85DpZpyYyLX8H2knauapDwT/F24xeBjAxQ6WpeBPOru0ElD8O+iQtKb+OxMfpLXELAQDds7YiWdItkx6sX78e69atA1B8bE2cOBEBAQFW61y7dg21anlFVYsuyDWclWBvsz41Ua8EXCivQ0Hd0LFgv9Vr6ckJSNqzAvV7j0PVMGVG/Ti983sIfkFo1P4Oq9fLHmO2LivqV4N5zpMjunXWTpzYtQo397pf8nhsqZyXhOgNs9HotgkIqVbT5fdZ3Sc4PRZvfIuco46UkJ9wVO0QXCa4/Jvw7Brpzb85U1GR9Bu11ejBhbJXKlndRLyERF1fGa25lJjp2rWr5aGgW7dusgZErit90KvfWoPs0uoDloOLU/lOgRr9DKQ6Hhuu4PnZm3COGd/BeytS2sCBA3H5cvHQTv/88w/at2+PkJAQq3UqV66MgQMHqhGeF9Hwb9trKo9U/BxlytBsCCi3irBmNPqY43Bi9Q5UfepX2UPKTL+GXsdeAQCcv+XIjTi0+pyosmrIQc+jL+BSh0EIDqkq+/46FPwDXP4HB9adQMhj38m8N1e/cx4bPsXNU6ZLRwevJz7hzJ+LUFfqjQrlh9m8Ue9j/+gLSjnudB0qz6XEzKRJkyx/N2jQAEOGDEFgYKDVOrm5uVizZo200ZETPEFRMdHm5FcSbp8nViLSDeWGGuO50fvxOyYlhYSEWJ676tevj7vuuqvcMxe5y1arT6WeoaQ8f+jruU+5xLZnZdzCHAcAaFN0XJHeiQW5GZa/zSYnwwA7KbroNW+g5bC3KxyTu84f3oquhe63wK/IkWDMz1YkMVPi5tx/YfT0zSok2ZjY8yYcKtkVju7Lve2e/cLRbcg//Rua3vc2AoOC7a7nl+LeSEr5uVn/zSnsXnm5ci6vUpDkfCWpeNHw4i4lZtLS0pCfnw8AmDp1Klq0aIEaNWpYrRMTE4MPPvgAY8eOlT5KsoktOXXCC1oqeNtFThE6vlHOTLuKqmF17C5vbbigXDBEGsbrsPdz9B0HpccAjbtKuj8eUVRi2LBhiI6OxtmzZ2H+7+FTFEUYjUacOnUK06dPVzlCcs6DX7SO7x/JVe5XJpU+KvpcXY6d25uizgPPShCL68do1z3jJdife6QcfijXrypCkO9wnUqi0ePEjKlU8u1Gxae8vHl4Jl/T+Nofbq0v2vm7NG98TvHGz2RPl13Fdes7tlRDq/tek2y7Fza9g8j753jwTu0MZeZtXErM/PPPP3juuecsGfmRI0daLS+5INx7770Sh0cO8Zin/2Tu/gKSjo5c6tgSAJjgZ2c9HoTeqNkPnZA88bLd5UsCP1QwGvI++j5vXLsUjQi1gyBN6J61FbtOKteSl3zL/PnzMX/+fISHhyM1NRV16tRBSkoKTCYThzJzgyeNi0QNtsLsnfwdkmG7IkX04WSOXD0GqhVelXR7otn2vY+t+F25SxKvX3K6jjdUkJV91KzIt50WUA8hhecdrhMA9+ZqKF3GpoJsy99ms3WvqFO/zsNjl98HANQV0nDNje2Sb6hrvsbRn+zy7d9DwPU4j99rK3kbkhXrwhvL3we5cj/Vqiga+1aMR1FEd5fiqwhvGl7cpcTMoEGDsG3bNpjNZgwYMACrV69GWFiYZbkgCAgODi7Xi4aU5D0HJbmvZ8YGpKCabNs/IbRAf3G/8xXJ5xhkHkaPSGsyz2y3/M3ehN5NhOD0O26f+ovED9I8pqjYjz/+iOnTp+OBBx5A//798fXXX6NatWp4/vnn0ahRI7XD8yrytTp3MOSK1/zUtfhByn6f7sfY1HxRmlA0T/7vryJ7EBR+zjAInp8LAqvXv7Edg3Wjxr5x71v+riukO03MuIpDmfku7/vmXfvt8dlLOo7KslHiFgBvebTd7llbkR/zl+IHqZ4T2uVn9LEjIiICDRo0QExMDNq2bYv69etb/ouIiECNGjVQWFgoZ6xEpJJ8BKkdAmmUL7fSJNicGNCFN0kehqLYU5BK0fNDAGlbeno6evfuDQBo1aoVDh8+jKpVq+L555/H5s2bVY7O+xQVFeL8skdw6pePFNlfBep/NcZOTxAZ9uSXn6rQnoql5Xo824gNrn/htq4rFT1cLi8eZmeJtg9EZy2iT//9DeIXj0BOVppCEdkXGHqj4bI0yV7tfjfn/vlZ7RA0IzNdmjSbdr9t5USvexvnvplQrteqNL1YWcIlOubvQ8yq/3O4TlXxernX3CnBSoLyuQE9J+1c6jFTWkpKChYuXIhz587B9N/EdaIoorCwELGxsThw4IDkQZIr9HsQej0dVly7etJlhRQVmkQ3UvxE+sCEIwH4r7+Ms+uctNdBPT9UkLTq1KmD+Ph4REREoFmzZjh16hTuvfdehIaGIi1N/UpI3bB1PrdRaRq7ZzV65f4NXPgbVyHF3B0ktR6Zv5R/0aXrtWfn6eir2c5XqihbDVxkaADSoUC9OpqKfBpnCY5eJ6cCAHZuno3IB+Y636CM93dCqQci0ctHFLj1wP+Q3JXTGADA1V/eQtVHvlR8v6XvT+3eO+qsqqZP4mIAwKEz/6BhpJ2hsAyseCjP/S+6d/K3uI4QB1u0dUxp6xnFm+bYcvuofu2117Bz5060bdsWhw4dQlRUFMLCwnDs2DFMnjxZjhjJJd5zUPqi1Bwjoq9mqR2GXcHmij2YMIHjvWoK2j1uNcOLbhqk4WJ5yPjwnHb1IhLOHpRt+0REFTVq1Ci88MIL2L59OwYMGIBVq1Zh6dKleOeddxAZGal2ePrh4jXYnJ8pcyCu8Sw56/57rsWfxsWlo3Epeq8H+ysWKErZo8RT2qoockXZyiR7889IsCN5tqtB/gXpTtepkvyv5PsNyIq3+bo0FYYuHNtsSKS6Htc3anJeMq2K3vwJMr/s7XAdkzHPo217Uud0Zs9aZHzZF4lxxzzap7eyVZIl9ydaHYpVz3WObveYOXDgAJYuXYoOHTpg9+7duO2229CpUycsWrQIO3bswNixY+WIk8irDVqwDwDwzSMdEFmnisrRlO823k84ZGdF/Z78ZOcjZVNVyFU7BM0TA9X/TeuRn6lAtm23XNMTAHCq8jbUqn+zbPsh/XNWSSr1swl7zFCJp59+GnXr1kVwcDDatWuHqVOnYuXKlahevTreffddtcMjG8pWznky/4NSFQuVNj2BW8zngW07kdzqskfbqIdkaHEmlvKV4no7r9oaykxvn0F77in8FTsxRtJt3pq5GcmSbpG0ytG5+bKjHh4ub99z/1QbjBYV2rty+pz/wObrgslRol++62LPw8U9ZGN/mwg8s1O2/VSIR0OHV3in5V4RIUDAf0OxauCS5NM9ZkRRRJ06dQAAzZs3x6lTpwAAgwcPxvHjx6WNjhwr/WPwooPSlx26XH4sxwrRwAmTyNcFNuigdgi6FFgkf+vl9PNH7CxxMGGzjlvjkHvKVoSZbTQRq/jRwAs12fbOO++gY8eO6Nq1K4DiHjRr167FkiVL0LRpU5Wj0xEbyRF3HualevDXWsV6PdMVWbevWMtVbRWr22SdvF0jvSkqEkW53kUVC0VBjiPNvhbrdAtdcrdLFQzJTDSpO9d2YZgvNTJz9Izm+dkm2Jzj8XvVdGbnD+iZYX/OJ0fXGEflZWtZyVmtqqDPstIytxMzrVu3xoYNGwAUT0S5e/duAMDly561tCEiqWjj5puIytDIg7H+aL/cOBeNbzEoMFu3fiqdSG4///wzDBxLXTFW7d3kGlrKan+291G6MiQ54Vy55alXYmEqKpItLqkEQKkYy/9GpEqmhQT6SbIdd/E6UIrkc7XIeN9mKLVtJ+eQhof01euxqEjdxAM5Z/s70tPZpHSs1r9Tq1P6f+cEHpPFeh57WZbt6mGOGW/qnOD23f6LL76IpUuXYvny5bjvvvtw4sQJ3HPPPZg0aRKGDBkiR4zkAj2Pp0cqcZQ95+FERCrTWuviG+w/OJB3ceXeikcAyWXcuHGYPn06du/ejfPnz+PKlStW/5HnFMixSiJ769tW/z67dx0if+qLpGUjkZoYZ3ldi9fLQEGZxIwg42dvUrOydBtzcMxdPLZNuv24yVFLa6no5OemqEBRvuF6pRbz52LUW9hE7TDIgZCrB1BnQVNEb5qrdijyEww4d3Arqi9oiRNbvnD9fQo0uPB2WrzX8BZuzzHTqlUr/PXXX8jPz0eNGjWwdu1a/PHHH6hevToGDx4sR4xE+iYUZ/Qv/LsZ9Vr1Qki1msrtu8z15+y+n1DLxbfeIlxAIfxwCY0lD4uoLCYDqaxGxjMevc9eS9nYA5sQ3rQjqtWMuPEi7y+pgtgwhuQyb948AMDOncVjnpcMRyGKIgRBQHR0tGqx6Yut4TisW+HnZaXBlerj7OspCK0W7vKeS1+PXD9XCKX+sn5P6PGlAID2xn+BdX082LYctH8h1XLvVkEQ0HjvK9YvunFTnJOVjsBKofD3Dyi/UMGb65ysdFQKrgI/f7erlxzS6xwCzoa99YNJkv0Yc9Il2Y4jvWPeln0feuBw2CcVDtPS5/3OebsAAehz8VOrdUTJe5wppNycKtYFvH/fH7hVMCL59G5g0P+Ui0slch1ejocy08XVXe0AJOP2lfPuu+/G/Pnz0bp1awBAnTp18PDDD0seGLnAe45Dr3f251nok7gY5w43kW1SMUOpG7ycrDSEVAkrt06Pg5Nd2pZQlI/VgdORjwD0MH1ldz3OtUCe8qkWFzp9qFRbGLIk3V73f55G1v5g5E86e+NFO1+Nw+OT36fPMouCIsOZEQHAn3/+qXYIPqPtL4NgFP0ttRC27m9j/lyC3jFvYUfdx9FqxHSb25HivliATivS1GJzDiHrMhQ0cN0unWCQKtmQevUyGn/dFueFRgj93x5JtumJtKsX0XJNT5w1NEX1Z3bIui97d2e3Zm1Bsqx7dsWN6Jx9x35OfueuHCKn/1qBXqdecykyIq2zevbSa0JJZxyfZuSYV1Nmmg/QPreHMjMYDCgs5Hh+2qPjo9AH3JS0GQDQ3Hxetn34i6USMxnXnK7vqOLRYMpDZaEAYUI2WwOTMjTcmpG8RxUhz8U1eTySMglkLbfkJnVNnToVVapUQf369a3+Cw4OxuTJrjW0Ibh8f+Fs6K0u0e8AAPokLXFj1+7/vg1m95+zPTlXec3dvc5PobaGYrP93ZRfL25v8by/TcRL0gblomuXYgAASQfXAwBamOMcrO0Z3faYcZaYkaDiuc0pfc1T483MRQW4Fn/a7vJDlbo73QbrXBxg0cjC/ctnxS64SRdOVuj93sztHjO33XYbHnvsMfTr1w/169dHYGCg1fJJkyZJFhwReajCFy/Rxl9E0uHNJ2mCzit0SH3Sn8t4UPqyHTt24NixYwCAAwcOYMGCBahc2Xqei4sXLyIhIUGN8LxGUWaSIvvxqd7Baik35I10lflyfXtOw9NJMuKWjQOws9VMmffClvOkDY7u9zrtegx+goi9Xb9E8y73lFte5BfsdPvuDm9XfH3Rx7nCFVbl62Qosxuv8hrrTFaBZ/O91UFquV6IFS3vtr/cWaH3n9mz2mpaBr0m7m1xOzFz+vRp3HLLLbh27RquXbNule9JqyAikoq7vz/X1nd8AvaekyGpi4kaItIaV85LfCgkKTVp0gSLFy+GKIoQRRGHDh1CQMCNuSMEQUDlypUxa9YsFaPUv4Ckg4rvs/y5gvc9PkuUZn4RLah3eikSGo+UbfuiChN2Xzj2N+o274RKlat4vhHn2TfPt+2BzPRruH41Dg0jnffccJVoNiM+eg9qNmil7By6GuT33zC3Ace/B2wkZtzZhqt89tlZEIp/XzZvv3lPXtbC3Rdxe5A021L7mafKia9V3b+c3E7MzJkzB3Xr1oXBYJ3FNJlMiImJkSwwIj0zFXmWma6IqkJOuRj8z23ybGOlGyyYlf8s5P3UvrCTVHT+PXrwTOOzD0JeLDc7A/H/bkTDzvfg8rE/rVpjOSP18VBTTNf9z4o817BhQ6xYsQJA8VBmr7/+OkJDQ1WOSu/K/6CczuNiLr+cP0utsvXNWJ+XPR8yUonhLA2oixSr1/zzkgHc5OSdXnhE2uj9pEYCs8vORxC9txUqPfW7W++zbqRc0Z4+0vYUavhdVzQTinDA+C1uanebJNs8t/8n9Dj0LK4hDJh4TJJtei0vatmvCjvlV/5V98o5yJTtUTjK88LzvQS8qceM23PM3H777cjIyCj3+uXLl/HQQw9JERN5xHsOSm9wZut8VfcviiLO/P4FuuVss7+Ow8mtb/z5qLDZ0Y48iI6IyDswwegdUn98Ar1OTkX48s7oefhZy+uufL9SHwH+AodtoWKzZ89GaGgokpOTkZiYiCtXrlj9R/pTaMwv9S8pzx68FnkTv/zUcq/5Qx8N5dKuXvT8zTbmXTHmZVUgGs+1KopWZb/ucOcetGQOrbwzf0q2f8PZXwAAtZEm2TaJgBtJztSkCzi7dx1Eq7pOwaNGUaKN99QoKjtYl29xtxQDwLnm5eJSj5nVq1djwYIFAIorfEeMGFGux0xmZiaaNWsmfYTkIt6Qa0mVK9vVDgGhV3ZIsp3+focl2Q4RkebYu3TykuqVBDvtkTrm7wMAhAj5NpfLiwcb2bZ7925MmzYNiYmJAIqfwQRBsPxvdLT2Kw41y62GRa6v62zYpdj1byHCjT3Ly4vPPWW+B0EDDcnEUkmH0q18c9ITy61rq9KxslBQfqMaHEa+6eo+yJhUgeRMGdX/eBa4eY9k2/O895R7kqJ3omrP+yuwBbfbT7tIut+CKFuMelZcvqKNXpfkvsi1vQAAe3PfRF0by6VsIKe1xnbxMfvc6sHvGfc+c22klZt3Rk1iuWS++td6T7mUmBk6dCgCAgJgNpvx2muv4bHHHkOVKjfG3BQEAcHBwejeXboxK4lIZg7Pwy6e1Jzc3Or31CgF3/70VBqPBW/iTd2myT385klJM2bMQLt27fDll19yOLMKsFXZ4qy1ra2WtVIMW9g8+TcX1lK3cujymX+RffkYWt42DoKBFa+e2mLqgkF+B7DR1B2Oakjy0uI93odYZLT8HXtgEwABzbrc5fH2pBAgSDt/ThPxkqYqAh0pfX9oTjgIoCKJGe0TbQ4951jcoa0wGXPQovswGSKSl9Yq7l3hLcMvB17eaflbEOT5XForq+yLh2Tfhx6PaW/lUmImICAAQ4cOBQA0aNAAHTt2hL+/29PTEJFCymePbZHgROxiBSVP+URk4dL5SS94dvNmrjykae1BjrxHUlISFi9ejIYNG6odivdx62cr13lewnOHhCF2+H0oAGBPSE206HafdBtWUNnEmlK9JAAgu6B4yKhocyMM8juADLEkqWrn+7bxLOVqA5C6JxdZ/u7+z9MAgMttTiMoOASAMtcn3gXZ4eReV4rvxrMtqDeEomg2o9ve8QCAs827onp4fQljkV9FvjN5Egk+pNQ5sfTp0WfuwDXYO1ILvKmxpNvZla5du2Lv3r04fvw4CgsLyxXGpEmTJAuOiNQiUcUpLyJEpEOOWxApcxOYkZqIK//+hMY9RiOkSg1F9kmO+Qm2phmt2HWuZv75Cr2fvFfnzp1x8OBBJmZkYDDbGBbKrgqc83V8H1yYeByAPhMzUvHk6+s33/mwW1JVJjUyJ5R7rdCYZ0nMUHmGwhwZt37je62SdRbRP81A00Ev2vw+nB9azp/FPT27FOTlIG7Lh6jW5m5EtOjo4VYAlOoxU2jMR0BgJZffmns9WXeJGV3SUcV16Uj99n2EnMZtLEN5CVLVTZXBxlWkFW4nZt577z2sWLECkZGRCAmxvsgIOr751COeSKgi/AqzK7wNHoNEPo6Xfdn4r3sYfY1ncDx5H0IeWaF2OD7JlaRLRa+DTc2XKvR+8l5dunTB9OnT8ffff6Nx48YICAiwWs7GcJ7rkrfT+UqSEBz8S9t0c49vo1C12Yq2VKDOeg5rMn7bJI3Ug6Gx3NUrbY3s+wCA9gX/Alf+xc5NeYgcNVuRfbrq/KZ30OfaN8CVRUhucdnj7ZTuiXZuy8dode9UKcIjQoeCA9iz/v9w03//FqzOmULxOdLmBVVPV1nHpOrp6WgrurnO26X3+G9wOzGzdu1avPfee7j33nvliIcq6HJGHv65mI572tRFgB/HBVZPqVOgAjeZNjm5qfcz5bn0Xv2fsInIl8h/Gyv5zmxqYjwDAGiV8TfS5dsNVRivkSSP3bt3o02bNkhNTUVqaqrVMjaGk5c7Fftxh7ag8MxvaDLsXRj87D9a624sdx0lB8rSZmJGizGpKzHuGLL2LlJggmuFmMt/x1UzTsi2uxrI8uBdIqpmnJQoght1HEFpp916Z/b+pUCzeRLF4ZsMNnpxe5O62cctf3fI3XVjgdWl1Pq6mplfhLp2tmfrulC6nkvT12hNXtNISm4nZvz8/NCuXTs5YiEJDFtyAACQkVeE8d0bqRwNaZv9iw9P/aQ03m+QKnRQuanpBwWdEWUaCoFIDt98843aIXgHmU+h3fY+AQDYsaUWWtz1soMwys588v/snXd8FVXax39zc9MTAiShJCAl0pHepASxrIruqtj1tSsqtt21rK5rXV17WRULFhQbFtS1YC/0Ih0hQCiBEFp6z03uvfP+EXJzy/R7pt7nux/W3Jkz5zwzc+aU5znneYyn/FARwPuR2b2vfN9ig3hwvF9YxkMFi9Bh4vlBR8zrR2UXuGkehwhfZ4pRSuM95C08B6mcGreC9oMTeR+OWPgYxeLTSZWf4WDzU3AnJDIUyMqY9b4dUM8i4Ji16FaeY7G7R8IOqG5NL730Urz44otoaGjQQx5CBVINyfr91QZKQliPKJtghYN6a65IIwiL4eTvxO63puXdOPl9EiE4QnFC2Jri4mI88cQTmDVrFo4cOYJPP/0Ua9euNVusGEW6PXDXSrslVN6esF/BW1tViq3fPIOBCyZj4Gf5aPZI7JoXkMNu+OrKwo4Yfy/RvTvrPfuCzx4UP6lxXOR0o4xd8Xj9aGrxyabjo/QK4reB8Vc1Bs0RvN4WQ8oxEjEjphQ8OBRvW6m5zOB22mpj/hBpbLCQ0Agi3lHYLkWrvUM1qG5NV69eje+//x5jx45Ffn4+TjrppJB/hHHYZuudAfy8oxTL91Qwyau0ZAcKvn4KTQ1atgc7g4oNX6q+xuf1omDh8zhQuE4HiQg5tv38BvZs/MVsMQgipjCi743n5CfHhHoO7y2Af/Zw7N+xxmxRCEKQ33//HX/5y19QUlKCJUuWwOPxYPfu3bjiiivwww8/mC2eo9Fr4REX8rdxCoS6j6/C1KLnAr8bahXMmZSK52CF0aYDNewyE6tTNljs0dRQi/yDb5gthuVhuSvXrMWPfp7HSbOXY8oLy9Dik7kfB3/7wljnW925+D2zRWCOuqfbnnrUz+cF/lbbrwant7NSXyudwbCPI6JCtSuzGTNmYMaMGXrIQhCaKKvz4O6vCgAAv9+eH3V+vT8/HYM5D5Z9vg8D/u/FqPOzG3XVZTht/9OB39KdVPu5HT+9gvw9TwN7no4qkCChnn1bl2PKtgcBAKXDrfvsD+7eKO5HOuYG94Ql0FDvYnHg7kSGfn0KAKDrj2eLpon1RS+EuTz11FO4/fbb8X//938YOXIkAOCuu+5Cly5d8MILL+BPf/qTyRLaBWO+44nVX2Pxd3nobkhp6hjWskHy/KE9m8H9cBfqx95mq3gfPHhhpza+6FeTr/YPiDoPMeSV7tYaZ/gYPE+j2PHBrQDvRf9LXzZbFADiAbxTuSaDJVFGs9cPj7fVIHOkzoPcjGTRtLz6Nd6S7F7/I1JXPwv/KY8jK2sy07ydhr+RzYJkWxL0TVmrpdTO7nXfIfX3/4L/05Po1uc4ACwdtmln75sXoscV75stRoDweVm4g1g7z9tUG2bOOeecwN/V1dVIT08Hx3EUhNJqxNDrqGr0Ms0v5ei26u41sekqoqlemxs8d+lm+USELjQe2cU8T97vB+diO+CuL5d280EQVsHOAzuCIJzBjh07MHXq1IjjJ510Ep599lkTJIpRjrrKUNIr5O/9L9OilS4EUNtnhc/b0769Hn34fcDReDl2p3PxtwBuDTqivk/XcxzA8wx2wpLuJYL62kpMqvwMALCj9F50ys41WSLtWEG3Jms/DHZlxkDc8cuvAgCUfHs1MH5H9BkyR/tNanHTxQQb7MgTR/h5c2C3SM4qHojaYtUVfTsTmLUiIJHZjGlahqUrF6Cb2YIcRe6923nxpGqtG8/zeOWVVzB+/Hgcf/zxKCkpwZ133on7778fzc3NeshIiCJR8exbJx2I8ka+qYXRFmiGnbD5w0KCICwLNRCEjeAYr+5szZMg9CE3NxebN0cuevntt9+Qm2tfhaMtMEiZVfDpfcie3cOQsoLh+dB1pp14gdXXQY3btvl/x5HXThXLjKlsauD9wmXH+60Tu+QvcctR9/JE1BxsVzT7vvmr9EVKHqmi5x5bCgHe7wv6m+3CTe3Ya5SgyiAUZYwZMTrxVQCArd88j5pXJqOqrESXcuxMfIUVDVfREr0BXcq4YofYyB35SrNFiMBXVmi2CKLY4Z0qRXVrOnv2bHz55Zd4/PHHkZCQAKB1F82yZcvw5JNPMheQIGKJ34urzBZBM/YadjoMHTql8K2hhHKcNEggIqHdNARBGMFf//pX3HfffXjiiSfg8/nwxRdf4B//+AeeeOIJ3HLLLWaLZyOibLNd+rX5+YfnRh48OoYo2bkeuQ0FupUtS9BQZkr5xxji3WKeLCqxUj/dgWtEH34fhqy/N3DsuJZN7QkssDNCFhEDWBt2XqXMEieM/4Nro/zt6Ft38/c8jTx/EUq/+7eu5diRiTXfmC2CDqj5fuz/rcnDifxtLFNLXjWt7Eic+95VG2Y+//xzPPzww5g2bVrAoj5p0iQ88cQT+Pbbb5kLSIgTz1tnNRBhP8R83qpZKcN5KGCYKAYOzv3NtarSexrrUDLnzzpJYwxebwu2fvEI9m1ZYrYoRAxDyghnE8/5MNi71WwxiBjllFNOwfvvv4/y8nL069cPP//8M5qbm/H+++9j+vTpZosXO8gopdWgps8Y8f2fkYMjinNWJUfYWJ/6Mv1JZj1vt4hB51j/ntYYowYhVVeDYzLY3UjibVI3t1OOjJEtqFrJ22X02TET/o5dPvvpvGiBo3q09EPRGuGDy6R+0H5EtvP2fYeqY8yUl5ejS5cuEcc7dOiAhoYGJkIRyujv2yl+0hpjNcIkFA1GFbZbUp1U/uF3UIpHFUpF6MXIwudVffN7vvo3pjSvl0zD+3kNpnsZGE6SCn96tXUFR8mrKB2yn1m+emD3ySFBEARhDtnZ2bjxxhvRp08fAMDChQuRk5NjslQ2wyIKbADoivLA38l8o4mSOGOqyIMHL6AcPtJ1KjKjzju6JxQ+8hObTwm52KRRI5G47TNTylVT68UWeToX+S/TxXvh9bbAxThOq3bYtCaepgYkJqUwyYsgtOPcNkd1izFhwgS8+eabIcfq6urw7LPPYvz48cwEI9Ti3EpqR0IH8zEyvOYZxcchVJPOqZvcd6z6QzaN1Vf6xJU70bcuYRkUTjat5C6FMAdaYUfoxYoVK3DKKafgq6++ChybN28epk+fjrVr15oomc3QtDhC/+/a8i2H0u7NgspZzlNltgiK4SEwf4piQQ8tBjIRgWdf1ejF3FX7TBBGDOXfq3xdis744MS6OsqzCu7XRsHvDY9xZN973bF8AXq82R9bv7JO2ApWvU7wPI7mdHZA+jtK8tUZJAd7VLemDz74ILZu3YpJkybB4/Fg1qxZyM/PR0lJCf71r3/pISOhCPs29tFidQWyKowcoBjY95DiipCD6ghBEARBtPPEE0/ghhtuwK233ho4Nn/+fFx77bX4z3/+Y6JkhFI4Cyt6gkddnI2HYJzAwrBRZf8zQRI5jH/InMp5pd/vQ1VZCWoqDsIXoVgmhFiTNEnyPA8OLy8tYlZeTcVBeL0tzPKrrSpFs0d4gZ9Zrsz0UpBXlZXA7/fpkncw2ahEdXmJ7uUYxbB1dwMApu57wWRJWgk1psQK1h1LmEpYHzfAV2jIN64Hql2ZdevWDZ9++ilWrFiB3bt3w+v1ok+fPpg8ebKFtuwRhJVQsTKFWZnsXJlFJwV1IrbFb/UdULEzFLMyVlQ66b0Cj4yIRDBUHwi9KCoqwmmnnRZx/PTTT8fLL79sgkQ2hdGODqO+dcu0KRYRQxKRsaqfuS9e/RByZRbNw1cTKzScfe9cjrENiwAAW9xD0OX67zXnFUxDsz0VZUpoSune/oOh9whfXGLEsYO7N2LYt2dge1w/dL7hVybl9H1/JErRCbhpc+RJxm1AQ321onR6tIG71/2A8Suuxtqk43HMNZ8wz5+InvD33sNXIqFGY1NHLNPfEszY985l6H3VB2aLoRpNo5a2QJSXXnoprrjiCnz00Uf46KOPWMtGqIAU4OZS8OVj8M0egaJNbAZJRiDWETU31ipKR1iTA7s2YNtHd6CmUipgrDnv1Ilb1gm7o34Y5Ko/LHqu4LuXUPDja9EIROhI88qXsH2x/QbrRGzSt29ffPvttxHHf/nlFxxzzDEmSBQ7WHW8Yk2prMeehAFmiyCAqugdukkhRZtRBgCGeLcwy7euOfrdN5WlJag8EuoSrKZCfDxmFRfbWt+k99jpEceq17SOXwb4CqOSKFxvlI1KkZRyqHvGpXs2qkrPkvh1rWPz0U0rosglCn2bRfsUSxH2jBI4kXaDU+9+rPLIPtRVHJBMYzWdV6zpd48Ub0N9bYXKqyLboLENi9kIZDCqd8w899xzWLBgAR5++OHAsfHjx+Pll19GRUUFbrrpJqYCEoQcZq/YPlK8DfnFswEA3ZZchtJh1g5E3oZYY1+w9FMMC/rdnVPbQBJmMvy7MwEAaz7fjw5XzxdM4+blt8BXHNqDLscMZCqbFOrHq7E1WCGMRWowPLniU8HjNRWHkb/rcQDA/imXUZBMCzK+/hdg8y/YMWgqss0WhiBk+Otf/4pZs2Zh2bJlGDJkCABg+/btWLNmDV588UWTpSOiRbyX0V85pGhXhU2GWbyAO6VhLRtQGpzGEjcj/F4FY8xEU4pGBXBtVall+0WvtwX9Pz4ayzjoVeZ9ODo0ocvs9xz57LtxlRjFqY+LyblUq+mU561DG6PlG4tmdxcRu3DgVNVhT2Md+n8yUSSv4HysZZixmqFIb4Z8eTK8vAuVN1spJpdxqF4qumDBAjz//PM48cQTA8cuv/xyPP3007RrxkKsLBJe+UCwp0m1ZVccY0PMCBdWUxcaNCsN6gLLE9Ygp1F8EuDi5V0KNDfUsBRHB2w0WKFVUmHY4Xmonyw2N7W3nbxN/dvGCtZv3wgCyM/Px+eff47Bgwdj9+7d2LdvHwYOHIhvvvkGU6dONVs82+BqYRMMVpOShFe/U0CqHLGeyRqGB+NRGmdUy7tLhkf1NexQIq+Sd678vsv3/aE4rdHsXvm52SJIIP0eBrn24ay4ZcxLNSKOQtnezTi4e5Pu5ehF2YFdKN62UvCc19uCXWu/RWO9w8eDdphyqaR679rA30r6vhqZnTLt2KMfPVS0BQcK15kthi64OXULFay6u1kLqk3xjY2NSEtLizjeqVMn1NbWClxBEISd4DnOkZ04oRKKGUYQBCGLPaZxhF3p168f7r77brPFsDUTq7+O6vpodjQM3vuOhgItMgi3iBhmMdy1O6rrlRrLhGLMKKsCxr0gpQYwvZi08e+mlh8tV7h/ZJNR0MK6bQufQ1et2Siom4loxvQVl2gsQbxkTWjcWTPo89YFDFtSf444V/jlo8g/+Aa2rhmM5Ot/UJhjjDeKFuGkgn+iks83WwxD4Y9+An6/D8d9cyoAoKjbJqSmdzZRKoIlqg0zU6ZMwaOPPoonnngCOTk5AIDDhw/jiSeewOTJk5kLSBCEepRYj5VPGGgQ4jzk3yltLycIgiAI86ipqcFbb72FzZs3w+v1Rozt5s2bZ5JkzkdoHN06blY3Js5CFRuBdCCWdtl08ChdMa0fqiLMrHsLB5J7IaffKMl0fp6Di9NvnrZrzULkjYmMdaKWbumRgeydQ/vzZ2pT3fVTxCGXt30XV9992j3VKJnbpyvxmGETFUFV8SYkhx3rd/ALAMBg79YQt4exzq41C5GYloUeA8eZLYokx3IlitPyfptU1DCE+mi/t30Xbm35AUWGGdZ9fWVpiWXcXkrpPD0NdVjz1QfIHHQK0jKsIrE4qg0z999/P2bNmoWTTjoJGRkZAIDq6mpMmDABDzzwAHMBCUIOs1fxyAYXtNm8J7zxlhu8Hd5bgJol/0WHRuUdJKE/OTgiOtBUZGwT8NkdLVJzx8G+ApUDY5t9WIRxWCTgKxEbRKMUK1j4vGUmN4T1uOuuu7B582b8+c9/FvRWQBiLsxcqCdybDYZZSt2YaA2Wno1KlKKTpmuVIrQjK69+PfDDX1DaTypuqZIaGd1LnLBqJrZ2/wXJaepXZXsa6wN/x/uVuoWzQaUziInVXwoc1b8NskIrF1GzrbKLMArs0H8cKd6GCatmAgBKB5oRM1nNM1KetqJwuUQu1OaoJRDvywTUfEf7FtyO46u/wbYNA5B2Q+SuOauh2jDTuXNnzJ8/H9u2bUNRURHcbjd69+6NY489Vg/5CCKmYNVlR+NvMbzBk+uusr++CENRrrk8wpokJKeaLYIM1h/gErGFk/zcEsaQv+dps0UgLMzy5cvx3nvvYdiwYWaLQjCgJ39QUTo7KPCsBCcyU2n2NGLXT6+i05A/aTaAd+UqUcpLG2ai7fu9R7ZpvtYPF+LAKtaI8HOsPVyk0TDTHrsj3t8Qcu5A4TpU7VwKZ0TKan9udhkHCimjd639Ft76SiR17Y//i/sRP/jG6C+HTZ6XFqzjeUL5YrWaku06yiGPliemxLDCHRGPk2SF/nbf1uWBPiqZ96Dl6N+sZLPCPWqF9/ux7YeXkd57nOAuLqkmZHjVTwAHDPRtt8WuONWGmTYyMzORkZERaFAPHGjdItzm3owgCA0wGqAoGgyIJlHXLXYlo4wI1u0ElQxi3PFJBkhCxCR6T8QY7PaiFVSEUvR2JUPELl27doWL4r2ZAm/AzksxZQkXRUwbptigWZNS7O5a+BTyD8wBip7RVYaNJdEFD88vnq35WiWOq63I8B/+olPOoWO3qiPFtCtVIRNWXtf6x2ZgTDyQiibTZGE+BjfBAGRHo5Pf3yx43LA5kQ2fGQtG/3pB4O9ErkUiZeyxY+l85O96HNhl1i4u41BtmFm6dCnuv/9+HDwYuuqH53lwHIeCggJmwhGEWtrqoV05qb+Rw0eKMUOIo8eAkg+ucjb+TglCCDv3PbEGy3dFRhlCL+666y48+OCDuPXWW9GrVy/Ex8eHnKfFcMYSZ4FvnZ0Ezjf4pZevjzoPJT1Fjccrn0gjxdtWihoWBpR8jASO1W4ZaYxSMsc3HmaaX0O1weukdTfoGjfOHOIq0iFX89vQNrQ9yWiev3XuXRSfcFtmRV2Q2JsQkpSX6O+4kHTWmscFyzOs8kes//E19Jt6pXkCmQB/+A+zRTAM1YaZf//73xg2bBheeeUV8ndMWAKxLexWQmlDnxwfx6xM2v5IiEHvlCBkUKi4p2/JnthxJSMRe9xyyy0AgJkzZwaOcRxHi+EcAlMlkAZjs2z51p9eSSKljGOJuIJQXcxOIUb9fJ7oua6oECnYvv3bhLofmebHG7JgxsjnLV9WfXU5UjMyDZBFP5iPrZnVA/t+W0owYqcoaxT1ow6Y06Vzjcjf8W8UDp9utiiWgrNhnRVDtWHm0KFDeOONN9CzZ0895CEIwyn46XXEHV6PYy9+ES6XFsOIktCLxjb0tHKbCGb74g8QV/QLel30EuITlLko00NxaYHFpgRjsre8pv4iap8Ik4n/dpbZIhCELD//bP1gpU5F6Rho2y9zreEqycbK+KiQum+DxhpKi7Haamw1RD2vjNHqyR7599DiaQAQvWHGKN3F1q+eBMBj8J//YUh5MYea1yii5LZi2yXuClQtfMTf2xe9C/7gevS/4CmNukE2CN1jc1O9CZJYA2+Lx2wRdEW1YWbMmDFYu3YtGWYsRkX2BLNFsC352x8CACxbfgL6T75AJrV67LCjR2/oCZjL5M13AQAW//QqBk3/q7KL9F6BEKtKBAfRWF+D/r6d6i/U+92btHqGdmHYhwG+QrNFIAhZcnNzAQDLli3Drl274Pf70adPH0ycODHCrRlhDlMK7mOfqQldiZVXCsti8iSD5nnWxZCFinykYtcI9FaWK8s96H41PGtPQzWm7nsBALCn+hpxI3fUhkEbt28xhfr3pMebnfzHPQCAZSuPR/+J5+tQAqGc9je86+dX0THirHgNsNu4RrVhZuzYsXjooYfw22+/Cfo7vvnmm5kJRygnPnek2SKYhtQHqQZfg8iWcMei7LlFNxSiyYqlaDDY1zLhaHxe4SCRsYQVV5ERBOEMDh06hFmzZmHPnj3o06cPfD4f9u7di5ycHMydOxddu3Y1W0TCYKjHUQEpY9XB6ej6zaCKW1GyHb2P/m1U3NnJlQuwofBy5PYbrXtZTtt65G1pDvrb2avhrawkPrx/F0remwVXYpbZoihG3fOUagfEz/lqzdWbyM4xY6GPC7pHru6QiYLoj2rDzLJlyzB06FCUl5ejvLw85By5TzIPTs/BFBEVrAxHALBqbyVW763CjZN6yaTkNCsMI6+LgUY/xuCs0JFTf0FYAKqGBEFYlYceegiZmZmYO3cuMjIyAACVlZW488478eijj+KFF14wWUIiGpgq6szszEztSK0wnjVbgDB0eB+adgSbMNfo+fN1hpcJAP2+vxAN/XYacM9GVjYLfFtOwgpzbxEOv3cdRjWtBZrMlUNLn8h2gZzVGnMimLSqgohmyUneKlQbZt5991095CAI22Jke3Dzp5sBAN07JOJGmbRWXplBmEO7QYbqBkGwhhanEATBkpUrV+Kjjz4KGGUAoFOnTrjjjjtw6aWXmihZLKD/OEl8nC5eNjOpuNDSY733Kj+4W9CNkpK5lOWenYaJaX1tBYYvusyCN6OObFSGHTHmhlK5JjQYUZDDxpnB42a11ba+thJ1H1yC8mNOx+DTb5UrSIN00VFbWmR4mcLIP9iM5sMGyNHK7vU/SsRlU14JnPUlEEqI8zt7V51qwwwAbN26FW+++SZ2794Nn8+HPn364NJLL8W4ceNYy0cQxmGhwc66/VV47/f9ouffWV0sa5hRwvYPboM/qSMGzXgocGxYyyYgKM4ZGXisR7OnEQc+uBaNPadi0MkzdSlDjxUIPNpjf3Rt2IHiN84NGZw1expV5WYbTIp5YlWmlH9ktgjMoPaRIAi9yMjIQHV1dcTxmpoaijHjYGo6D0OuyDktM5XaqtIIRVjJLy8ij4vdIMLhNHxzp+ZrLTR91Ezxd0+jN+fTrwCThkpGL5jR/TYVzM14GS8qbL0mRJdXNPGZ9n3/DPK9m4Hdm1EKGcMMq3tWkU/nZQ+wKdNhjF9+FZN82uZf4TtmaFbmNIJcmSHy/Tppx4xq/1c//vgjLrjgAvA8jxkzZmDGjBngOA5XX301fvrpJz1kBADMnDkTd999d+D31q1bcf7552P48OE499xz8ccff4Sk//rrr3HyySdj+PDhuOmmm1BR0R4/hOd5PP3005gwYQLGjRuHJ598En4/Kc4IC3C0b7n+o01Ysls85s2h2ugtxt19BzG5cgHyD74Zcvz4uK0hvyvQIeqyCLbs/HkOxjYsQv72h80WRTO9+BKM8qwKObbrp1cVXx/nM3m/NWHlXfkMUD9ZdNLgkCAI8znjjDPwr3/9CytWrEBdXR3q6uqwbNky3HfffZg+fbrZ4hFRIuqCJakz03L2//R8xLH8Q3PlL1TYpU1YaY77KIBdv5vkq9V8bXGl8Hg0QoGkuYQoUPh8uBZxI51W24bZbtbrv7sXed+cbaoM1sV61kRO5SI2l0SdtQIpfvk2ZevC/+oux+hDH8qmscoiMzW1kl0N5kX+BuCpRt3LE1Gw4D5mpUVLcJ834Js/Y9vH/zBRGmPxO3yerbrH/O9//4s77rgDzz77LC677DJceeWVeP7553HHHXfgxRdf1ENGfPPNN1i0aFHgd0NDA2bOnIkxY8bgs88+w8iRI3H99dejoaF1E+mmTZtw77334uabb8ZHH32Empoa3HPPPYHr586di6+//hovvfQSXnjhBXz11VeYO1fBANXCkEKoFcs8BZlR7K+FZfh4fYlBwgiTBGWBuxe7xussCaEWril8qz57TGlTmqoUJ/XGk8GQ0A9eoSaCrW9jgiCIdm677TaMHDkS11xzDcaOHYuxY8fi+uuvx8SJE3HXXXeZLZ6z8Zvpykwccedn4n0RLT7Ul6d+2akonV1HCzxvTz3DmMalSOGc6/omOmW6Ehd9FnrnVql/UezAqusxLeLY1D1PRSONIlIN+Ab8fka77TS8Zz1rxoDi+ejD71O2kMEEEjgvppS+b7YYhtHQ7DVbBF1RbZgpLi7GtGmRDcu0adOwZ88eJkIFU1VVhSeffBLHHXdc4NjChQuRmJiIu+66C3l5ebj33nuRmpqK7777DgDw3nvv4fTTT8fZZ5+NgQMH4sknn8SiRYtQXFwMAJg3bx5uvfVWjBkzBhMmTMAdd9yB99+PnUrtNKLZBmsEQvLd9eVWPPXLLuwss/ZqD8JpWGRgSxAEQRCEJAkJCXj88ccDsWY+//xzrF69Gg888ACSkpLMFo+wCXywf2I1WHt6BeCowYCGtmGoN8Rl1m6VT0TIY6Dr4p78QcPKsiRq26cwo4rRhidXSidDy1NDNIvMtv38JtJf7o9da79lKJFZhD4HN5xtCHAEDnIXr9owk5eXh8WLF0ccX7RoEXJzxTziaueJJ57AWWedhWOPPTZwbOPGjRg9enTAbyjHcRg1ahQ2bNgQOD9mzJhA+u7duyMnJwcbN27E4cOHcfDgQYwdOzZwfvTo0SgpKcGRI0eYy0/oD2/yiDyaVURVDS0hv5ta2DQuynzqKpObVoRrxMITRWWDUR06OquseCIIRlhqRSFBEI6iqqoKt912G+bNm4dhw4Zh4MCBOP300/G3v/0NtbXaXS8R8vhYrQCWRLj/MHte4xSof1bOIG+B6DmOYxurpaGuilleRmA3eZVhjbm9z9euBwlu9yKk0yFWkP7tgzWesRKieRZTtj2AFM6DYStuZiiRPKpkNtmtIkt4DYYIp+jy1NZTu40BVNfSW265BU888QTuuOMOvPvuu3j33Xdx++2348knn8Qtt9zCVLgVK1ZgzZo1mDVrVsjx0tJSdOnSJeRYZmYmDh06BAA4cuSI6PnS0lIACDmflZUFAIHrldI6UDHn38Zf5gvKYpZ8Bd88jeI3z4W3pcmU5xHNPYc/M6Hfwem3fXI3dr1zFcD7FeUR3hZu++TuoHN8SPqnftkpOvZQMyZpTSvdGAVnJ/Y8tBJNfVSTVrAufvU49r15Pny+FlPrIvTKn/cj/+AbIc9V7XtQBM8rT6sQ2fwk6n74v8kVn0ieN/WfyH2ZLhfjfy1NNbLvSbAOi1zDirh9SwJ5C6FUBiXyB6dzBZ3kJK6P9jlZ7Z8d5DMLtfKEny/46nFLPmvCGB544AGUl5fj9NNPDxx79dVXUVZWhkceecREyZxPygd/0r0MLZ+S+DUcvN4W0bOxRguvcZdQGCwVO/GcEcY+QIN6Rxfqg9zOtD3F7YvfR693hpojkAa2fXSnKnl1d/nGrANW4spMfwZ+lm9AKcJ0gXgsX8IctLn3DK2p0dXb0PIzUR1Vbnpgduwu4wk22KqrH0mcvcZEbrUXTJs2Da+//jo++OADfPjhh0hMTESfPn3wwQcfYNiwYcwE83g8eOCBB3D//fdHbNdvbGxEQkJCyLGEhAQ0N7fGzGhqahI939TUFPgdfA5A4HqlZGamq0rPkszF14f8Tk5JQFZWqDzhv/Ukv+h5AMDqVfMx7hy2Bjo5SlvaP9KszHS4XNqa5KTk0GfIgQu84+B3PeXIewCAXYcLkHfcBJSlJYbkk5WVjmJXe6OZnJwQ0km0Xt8atDWjQ4ri96bmfaZ3SEGyZ5fi9FJ5uzj1bgLa8nO7XRHHlBDNt5W/7yUAwNq1n2H0Gddqzida4uPjdPkGi3duDvktVUb4ObfbhaysdFQrGNhnZKQylz85JVHyfHy88EQ6XI4DRdslz5tNQ1LoapaUlNY+xsw+Qw9+W7gYA4J+a3kPyYk+pKZ3ZCYTABxfsxCA+PMOljMlJVFQ7jgXp+h+OK49XXNdcuB458xUpKSxe99Wq+PhOK1us0LtewtPn7/vJSDr0ZBj9Kxjh2XLluGjjz5CXl5e4NigQYNw//3349JLL9WUZ3NzM2bMmIH77rsP48e3xhAsLi7Gfffdhw0bNiAnJwf//Oc/MXny5MA1y5cvx3/+8x8UFxdj+PDhePTRR9GzZ8/obs7idEeZ2SKoYnTTcvhe7YsN0z7AMUOmhJzjOJvFk1CB2OphufupOLwX2RrKW1tchT8O1uLysT3AcheJldFqa9h0oAbHhR0buekBYzT+jJhSJh843Y6ke/UwStjoxWpFxcfglF0KxqKmsRFPy/O8ivZZ+Xvyeb2oKt2HzO59FV9DRAkfupPOrmMVJag2zABA//798fe//x19+vQB0BrzpXv37kwFe+mllzB06FBMmTIl4lxiYmKEEaW5uTlgwBE7n5ycHGKESUxMDPwNAMnJyVBDeXmtKZ55OA7IDDvW2NCMsrJQtwbhv/Uk6+h/m2qrDS0XAKqq2uO0lJXXhqxaVkKb7J6mFpSV1QZ+8+BRXl6LzMz0kHfddr66sgZlZbWoqwsNqlZWVgs+KNBmY2OzaBNSU9Oo+L2pea41tY1Ih3IrcXDeWeEnNVTytvy8Xn/EMSk4DhHPWy1t8jfUGF8Xg8tvafHpUn5leRWC1SHBdTactvLbznu9R2VS8HCrq+uQKJG3FhobpAMQtjQL19nw51hZXo0cifNm01Rfj5Sg3w31rfdtVp+hF7X1jSG/lb6H4DpVXl6LRk9cxHEWlJfXRvSVQOg309jYLNj++fzi9xMsJ+/nA+mqqxsC9bKyogENTdGtagoux2p1vA0WbbbesK5XahB6b1LyCLXnbXlY5Vm3yUHoT1JSEg4dOhRimAGAiooKuN3qp3Aejwe33347CgsLA8d4nsdNN92E/v37Y8GCBfjpp59w8803Y+HChcjJycGBAwdw00034ZZbbsGUKVMwe/ZszJo1C19++WXMKKb1QstqXKlPP47jkb7kPmDIb5plcgr1nPScfsCnkxTlE65cveHjTQCAnIwknDJAi2nHCNi7ItZ9J4hD0F1pyOA9JNSXIM8vHxfaaAVocB1jXjJVX9UUb1uJngMnmC2GAiLHIU/9sgt3nXSsQFohlFeOA29fiFGeVVg28r/oP/FcxdcRbBBqk0oXv4KBJsiiB6q1BitWrMApp5yCr776KnBs3rx5mD59OtauXctMsG+++QY//fQTRo4ciZEjR+Krr77CV199hZEjR6Jr164oKwtdyVRWVhZwTyZ2Pjs7G127dgWAgEuz4L+zs9UNsHjevH9ispgln9nPJJryA9eCE3yG4fm2pz96zO8XvCY4odiqCT/Pi5YZjqqxGA/wKj5vqbqlhWjqo5q00nWBN7UuwogyIP3OxGTS+g6jRWt+Sp6Bpf6puA87/wsfDGutv3rUtba85Y6HtxNisknJKXTOz0ff/iiRxQr/7CCfWaiVR0n9Mvt5mv1MY4kZM2bgn//8J7744gsUFhaisLAQX331Fe69916cddZZqvLauXMnLrjgAuzbty/k+MqVK1FcXIyHH34YeXl5uP766zFixAgsWLAAAPDJJ59g6NChuPrqq9GvXz889thjKCkpwerVq5ndp9URU0qHj/8ZlqhTvrHDhp5XMclHTDm9v6pR8Hj41U5As/016NE540k4g3717NpuTsWAoOpIMRRs3mvNV6M8ktDgRRX1Gz4O+mW9L1hMIh7AJxsOKEytjlGeVQCAjD/ekElpLZyyy8QlcB9O2tWoernVE088gRtuuAEzZ84MHJs/fz5ee+01/Oc//wkM5KPl3Xffhdfb7pv06aefBgDccccd+P333/H666+jbZsaz/NYt24dbrjhBgDA8OHDsXbtWsyYMQMAcPDgQRw8eBDDhw9H165dkZOTg7Vr16JHjx4AgLVr1yInJyciLo2tiDl/g/aB51ymNIi0hZaICmf04QRBEARhS2677TbwPI/HH38cVVVVAIBOnTrhsssuC5mHKWH16tUYP348/va3v2HEiBGB4xs3bsTgwYORktK+z3P06NHYsGFD4PyYMWMC55KTkzFkyBBs2LAh4AotVtmx/BNYcea46/ev4fXUY8DkCxVfk8o16SiRfogZzbikjlAzkE3x1cgnIjRDUwpGKLCSWXUjY79Pjsfvk+eJnle7K0uVnsOiz8TKBOuuOnD1Ein1KVNp2lhrW8Tcd8YCnA67Qa2EasNMUVERTjvttIjjp59+Ol5++WUmQgFAbm5uyO/U1FQAQK9evZCZmYlnnnkGjz76KC666CLMnz8fjY2NgeCYF198MS677DKMGDECxx13HB599FGccMIJAX/IF198MZ5++ml069YNAPDMM8/g6quvZiY7YV22/foOumx/B/xZb2jyD3l4b0HAJ7G38agLAksaxRQM3AzsypT4tyZCKVhwHzqWr0fWlZ8iPiFJ/gJF8GH/NRpt5fJ+P/bNvRie5K7of8kLjGUiYo2SwrVBvuWF28o4v7TbvTZGNK/BvvoaJKd2YCIb4Wx8QQuOCEKOuLg43H777bj99ttRUVGB+Ph4pKdrcyN3ySWXCB4vLS2NWJiWmZmJQ4cOKTofC4i5bEva8bluZUazG2fC6taFijsGTEan7FyZ1M5FzWr+HP9BRypvrbdS2mrysMUOmzI6w0TXuBIP6MjGb1S5JFJdtyUsVpWlJSgvWoe80WeAc0nodaKxesWwQl0PrNe2EazwNNZh34YfcMyIU0OOO7CLDkG1Rrlv37749ttvI47/8ssvOOaYY5gIJUdaWhpee+21wK6YjRs3Ys6cOYHVXiNHjsTDDz+M2bNn4+KLL0ZGRgYee+yxwPXXXHMNpk+fjptvvhm33XYbzjrrLFx55ZWGyK4X5Pu1FbnHMGXrvRjg24H6hf/QlL/725sDf8eve11THsbAy64koQ7N2uQfmothLRuwe/knppSvR5vSUrZT03X7d6zGmKZlmFT5GWOJiFik6w/XyqYZ1bRScX5FP/43GnGIGGLP+sjxM0EooXPnzpqNMlI0NjYG4m+2kZCQEIi/KXdeKRxn3r+o4fmIfPRclc4xyr9q/5ao82H2DHWCa40GLHBC3TxHiftnoTpgyWdztL6ylE3tnLG1/HYBWNVpK6N3fVCaN6t2UNElIt+EWJlScuTvfEz8pEzeau85/FzPj6bg+NU3YseS9/XtS0RkkXpeRsgiaMTmlT1rOXn1RkzfFSKDms1VImmV1jmlYxIl7124b9NPf2eVNvrARzdg4rpbceCjG0OOc+Dhgk9RHizfl1FjUNU7Zv76179i1qxZWLZsGYYMGQIA2L59O9asWYMXX3xRbXaKefzxx0N+Dxs2DJ9/Lr5SacaMGQFXZuHExcXhnnvuwT333MNURsI+JPi0bclM9tcF/nZLrKi2ghsxK8hgKg4xVvq95riX0GOrLOeX60yFJ8a8r4W5LETsksbXqRqkyyLwjVJQbEIIf4s6ZTZB6E1iYmLATVobzc3NSEpKCpwPN8I0NzejQwd1uwQzM9kblYwiPT0JWVmh8mdlpWOfS592PiEhLqK8NuSKDO57xi2/GmuaHke8W9vO/vh4t6gcVqFTp1SUJydEHE9KdKtyaKBkxhD8LFJTEy37bDp1TkPno7IVM6ijqalJ6NQpVdU1WVnpSE1LDPzmXByystLRELU01iUrKx2HUiPrIsv8dyn4ljt2TGVSN5UY49xB8nSrL5AtN7hOqGFEza/Y8ccP8FQdxIjp1yE+IRFud7saU67c5OSEkJ0w4emTudY+LnH/YmRlzRLNZ4/UbpowcnAk5HdScrxgOinZ286VH96P3csWYMifrkRKWoZiGaLB7XYJyhZ8rKmxXvScFoRiiGglWJbkxoOKruHAid5D8HGOE09XX1uFrT++g2OnXIBO2d1Fy5IaE5XtXomB405BUmJkncnokCx6nRhKewGr9Gnj6n87+t9fsCL90sDxlHgX/AoNM0JjNquj2jCTn5+Pzz//HAsWLMDu3bvhdrsxcOBAPPTQQwFXYQRhJMG7/Ws9XnQU6fh0Q4EC23gjCadgx4zSnAhzcYaBKZZx7I5Gp94XAxz7zokoIVcWhLXo2rUrdu4M3c1aVlYWcF/WtWtXlJWVRZwfNGiQqnLKy2tN6zKyory+trYJZWW1IfmUldXC79fnhpqbvSgrqw1yudmOXN8Sfr7PusewOfssTXK0tLTKAUT/DPWisrIOjQ2RC+U8TS1IVOEOTsk8re1ZAEBdvSfkt5WoqqyH39UqG4s6Wl/fhMrKenRScU1ZWS3q69oXrfj9PMrKaqFepWgfwu9Zj/y9XnmlZFVVPeCOrJt6fMPelnZ5evv3RXwT4WXW1ylzExxOEteCYb+1hh1YXFaCwWf/M+RZiH2LbeU3NjYjOag9CG/P2/D5/JLftc+nTCksRFOj8CLD4PLCZWo7V/fqqRjL78eKopXod/kcwbTRwHNchLrB6/ULtv/B8m778O+YLHKuDTVyqmmt5FrsYFnG1P6suHyxuhF83M+L17ldb1+D8XU/YceWefDd+FvEeY5rNcoEj4nCyxu48DyU9d2PJk9knamuaVR0L6FlKnuyYvduJl5vUD/O+xXtbgUi78Ws/rrtfStBtWEGAPr164e7775by6WEwzHDPZY3aBJS3diiyDAjJKeeK5zNeC5qXJnxfr+oT1U52f08BxfFkNEP0xS8ZpQrNokm8yBBEA6ADHaExRg+fDjmzJmDpqamwC6ZtWvXYvTo0YHza9euDaRvbGzE1q1bcfPNNwvmJwbP27f684iUXc97kX5Wxo6HrP7OeF54tMpDxD2PSoKf9uYDNSEFWPXZ8AC2/jgHCRm5YLVUUe0CQ6H3YtXnxQqeB3we/YKk8zwUTs04Js9ame4itF7Ildt4cEvUZXc8vPxo/Wovm+eBbR//A50qNyHzqi/gTgjbmaOi/datnorkq0SW3vx+AMCgmsVoOXpsU/wIDGvZwEQ04baSF5Qt+FjvisWi5zShIQOxK9qyKtr0mzrjkIL3xIk8GwAYWfsbwAH9fTtRKvNuZd+9wPmqnavEL4oSK7bRwYtN1PRCRo7ZWGHFqOWERg7vLcCXCffiVNdqs0UhbIDSQfa5/A+ay8gub62L47htmvPQjg1aYCXo0JNYNb5Q/qG5ImdC5RVys1bwzXOoe3kiKo/sU1TWto/uRMWr0+Bp1G8SZWUKfngV9S9PwJHi7WaLYgl4vx9737zQbDEIgiCwaNEi3Hnnnbjhhhswb948eDyhq4yrq6tx+eWXMylr3Lhx6N69O+655x4UFhZizpw52LRpE8477zwAwLnnnot169Zhzpw5KCwsxD333IMePXpg/PjxTMq3C4eKlCkU9caaozcT8fPgGBirlMyJrvpgQ1B6+TdhlkvpsqKNyN/+MCasvt6U8gMIPCKnL7PquuF5s0Ww9I7tKbueZJhb+31WlpZgSun7GOrdjMIfXmBYhvkc3L1R8LjPZbCHGAF68IeY5qdGP6E07dgl/6dVHEsyZdsDqq+xqt5HLRz8jrkXIcgw4yDivrsVw1x78FrC82aLYn2c+00HkLtFIxq2i1w/AUCM7qixsssaBe/DwgN7IfKLnkEffh/Kv3tYUfopZR9igK8Qu5d9oLNk1iS/8BH05vej+Xvtu1/tVUPaSecit4FXVxzEmKZlJkhDxBR2/WgIw/jkk09w6623Ijk5GV26dMELL7yAc845B8XFxYE0LS0t+P3335mUFxcXh5dffhmlpaWYMWMGvvzyS8yePRs5OTkAgB49euDFF1/EggULcN5556GqqgqzZ8+OuThaDZUHzBZBE05WYkjC86ru3UlPyVOpLJ6CKmw2JzCLPP8es0VghhLD4pQj8wwvu4O3POJYU237scRyYSM6E0OpCf1eQ/n+wN8xHz9YALbPRJ92ruCb57Dt5zfUSeL3I69wji7y2BWn135NrswIa5Lsq5NP5ESYDRa1fu7aV02ZOc6N2cma7WD4no7uNLGfnSz0++EkIrq6/CqDa/u9WgRyDG61z4sxUu/SUFT4oicIrShZZU3ENm+99RYee+wxTJ8+HQBw22234ZZbbsHFF1+Md955B3l5eVGXsX176E7JXr164b333hNNP3XqVEydOjXqcgll0PhcOfzR/4mdVY5zVD580Lg2tSVSiU0QSrBqO9SbL0YpANt9s2TcZIqZ9VONMaj84G7kFz0DACg96VrF1+1e/z0m4LBq2ZxMaUo/dGwsMlsM3VCtEeF5Hnv37sXGjRuxd+9e+EmZQdgQ4cZcvwbeqoMbwgaYNJCz8lZ4IVdmhD1xwrtk4ceeiA04B9R3Ql8OHTqEoUOHBn5nZmZi7ty5yMvLwxVXXIGioiLzhCNsCWfyAgyziNW5lz9oTJLI6xeMXgux+UZYYtwTNNPsof7bZfNcLLkjxazdqUfbkdKSnYYVqaXNZvvOWOQVeg+ehvbYZLwKvXlLtQ47H22OJ3OI2SLoimLDTGNjI5566ilMnDgRp512Gi688EKcdtppmDRpEp566ik0NVmr4ycIO2CmJwhWRVt2kO0YZSnD+zi6O0HZwMcpz48gjMfKhk2CIKzLgAED8Nlnn4UcS0xMxCuvvIIePXrgsssuw5Yt1oh3EkvY1XVbZ9Rgavl8s8UwBxXdsF9DcHurEqqoNNU1A2ECdm2rmBFFlZedH1v5w2dM27Nwf6V8lwcRScx/j9ES9M05YTGnFIoMM42Njbj00kuxcOFCzJw5Ex999BG+++47vPPOO7j22mvxv//9D5deeikZZ0yEcxn70e9962KUv3oSfF5pN0AHd2+Cf/YwFHyrYyC2oAZPeX8plFD6Gfr9PvTiSxSLpUgKE/v3RK6lXQ6HKOEdGcicZSUJdGj2fd8Hd2/Ccd+cquqaHUs+BGYfh6KNv0Sc41saWIkW8xzeW2C2COqhATOhIwU/vma2CITNuPvuu/HBBx/gjDPOwKZNmwLHU1JS8MYbbyAvLw833nijiRLGJo0Htxpanti4PNFv/Jhl68L/Gl6mUsQXQaiNMeOcsQDvitMhV3UKscIVC8KOcEH/TxDGY9sddCbPU3p4i0N+HyhchwOv/xn7tizRoTTl76jtfYZfEc3T8vE8vi84EkUO0hI4Rd9mLO3PzOn9hyLDzJw5c+Dz+fDVV1/hqquuwrBhw9C7d2+MGzcO11xzDb777jvwPI/XX39db3kJEYxW8I9pXIKBvu04sHONpCDuH+9AV1Qgf/eTusli1Ed6YOc6TddxpjQjxkwxCtyDLDWZafrhPrNFcAxWXfHv/vEO1ddM2nQnslGJwUtmRpzL2fc/FmLFKKF1xPvD3SbJEQUWreeEM8jf8e+Q3zQpI+QYMWIEFi5ciMsuuwxZWVkh59LS0jB37lw8+OCDmDRpkkkSxiA8j6k6zmMiixNvJwb6dhgmRxtT9zxleJlsiL69taUyl7HIPDjVc4KJ626z0OzQSRhZH21Y96PESjoNIcx4I+Fl5v5wGYY3r8fo3y42QRrl/FZYhhs+3qj6un8t3BZlyeJviffH3jfFFmc/P0WGmYULF+Lvf/870tLSBM+npaXh9ttvx9dff81UOEIdVuxMXLzPbBEE0TTQFmtMFQxWrfhuWFDWaZTZIoTAWbS+RYezOyG1RNOmxCHyWltOuhkSTdsU/uy0vBuOUx3qThdIYU4QhFXIysrCRRddhJycHLS0tKCsrAwtLa27nDmOwwUXXIA33njDZCkJwhrwJWsEj6sb37Gfp1lhVMFijMuBt+xiLUI/zJwfJXBerHx1FtM8mehidNy9oib+CGDk+wm95yxUG1SuMsLfa9tTufPLrVhbbAVZtdYZ43WHcp6QTId3dlxXt5JEBw8eRL9+/STT9O3bF4cPH2YiFEGYgsrOlleRXqrz1Guwa0yHzVnY6OSQhluH+qGkbtAkLDaIdcOU2S4CCIIghPjggw/wySefYNu29tWbAwYMwAUXXIBLLrnERMkIwjrwPI8pZR8KnlMzvolHi+BxsTmOlUdOauanSnHFxUd1vZWfFyFMDldhavkTDr0vnUC0nkfWNqWLr8ycE+3fsRpdBI6HxigxcM7Ct7kKM65Mp8/IrL4IcO+mn9DNbCHC4cN/WPsZRoMiw0xWVhaKioqQk5MjmmbPnj3o0kWoOSGMwhIKNi7caq1/E2uBu45p4hT6Hfb7fXDp4vfY2VD9ji38fh84cOBc1thJIkXEKiWRSZLX2wK3W3hSb5VAftG4nBS6b6vcF0EQ9sLn8+HGG2/EmjVrMGPGDFx33XXIyMjAkSNHsHnzZjzxxBNYtGgRXnnlFbhs0E84ghhtz/MPvokSjw1dlAKqFzUlc806CWJ/eHBRB7Bu01G4VMaqIULpXCcfS5VVsPHBrr1M8jGC0MWECr792cfpJosYckp53idsHA7PxTiEY7joW6T6GDMEO/yK6qCxRL5l55rvFI3oTz31VDzzzDPweDyC5xsbG/Hss8/ijDPOYCocoZzOjUWmlBvLq+qHN69nko+dn+CU0vfg4pTdQdrLA7Dz9690lceRnbRJ31j94UIdctXYmQa5uxrok5+U2JWW5iZ4Xj0e+98632xRNCG0vbjgswfR/bU+KH/1JBMkUk40q5icvK2aYIs5MecIO/HOO+9g586d+Oabb/Cvf/0L06dPx6RJk3DOOefg/vvvx3fffYc9e/Zg3rx5ZosaQxjdxlunT9nz+5dmi6CdWO2bdbhvLfN9oSuSOOsp/uzEIK98/ItY0M14mz1QM6cMH3tlo1IwneyC4qierVajpLkLMKzrGaUNTvSXG/KuubS9UY3PRKW7OlY4Uj/mQBR96TfddBOam5tx9tlnY/78+fjjjz9QXFyMdevW4d1338Xpp58OAJg5MzKwMmEMXesLDCmntM6D6z9SEUjLYDcxujY7LjXb2Y3fOWR1UrkmHL/6RrPFMBBGA6mwb4jVSig5cjY+b0g5ZmPIrj6Fq233bf4Vx/AHMMqzSmeJ2tH7/vMPtsZBEDOoWSXGDEEYgdXdGBDm8/nnn+POO+9E9+7dBc93794dd955JxYsWGCwZLFLx8X3mC2CaXBW3y0koShlFV/FbrAe1Wl+BvZ7dIRN6P56HrIq2xfIys2NnTP2crY+SU1bI/ckhnBF2Jl0OYOcokOz3sbZr1oxUys/DvrFwckdiyJXZmlpaZg/fz6ef/55PP3006irqwPHceB5HhkZGTj33HNx8803Izk5WW95CQmMUDA+++surNtfDSQpvMCiqzb0H2gH5S/xWvSVQnnuvJ83e0EGeyxa91QTdh/RrYSiLcIEQ8LrJsVrIQiCiIp9+/Zh2LBhkmmGDh2K4uJigyQi8vxFZotgGnZWaOo6jrXwY+GDFryk+2tNlKQdWqAYG9RWlSK9Y7YhZQ3yte8eioVdQhEYdstGfrtsduYBwD/dMjGKoihTlY7NRnWTdvWbiyLDDACkpqbi3nvvxT333IM9e/aguroaGRkZ6N27N+LiKG5ErFDVJL8l0Ezs1pxwADxei69GIzTC5r3qMbFUlqd9BhJKEZ4Y2q3VIAiCIJxKeno6Dh8+jNzcXNE0Bw4cQOfOnQ2UiiCsithYm02QYDmDQnm9FWPTtN93JqoY5KZ1nOy8eYQdMMqzghB93x+JVce/hb6j/mSaDOIweC4xtQDtaIwZA29Z3Y4Z+7UvqhY6MLw9Oz4rQRz++alaI7937174fD7k5eVh1KhRyMvLw+rVq7Fr1y695CMUouSDa/Y0gtfZtyHvDzXcxCnw7WgKgtZr4792HsDbq5236tHb7IHPa9F3bzd0WGnhmA5aBiPaPCIY9W0oz/vR7GnUQRZlcDptFbTTCim70lZvwv9rVZo9jbQajZBl2rRpmD17tmgbwvM8Xn75ZZx44okGS0YYBvUfipHqa40Y6zb7xMeYpu0SqSlhnyfVSUIhyWteMLV8+85xhdsLUVuQQc2L1Xe78QKWozxOhzZQI2YaSp0HZ+PvWx5FGgme5/HII4/g9NNPx/r1oQHP3333XZx55pl4/PHHSRFhYUpLdiL3jX7YM+9qXcuZuvd5+P0+AICnqQH9fTt1Lc8WyHwWu0rrVWfZRSRoXTBdUaE6X1Ykvj4SjXPyTSufiB47dXzb5t8ecaym4iC6vD4QJW+dZ4JEsUFkDVFfZ/b++AJy3+iHwhXmxEvgGe1sI4zlwK4NyH2jH1JfykPuG/2w/YPbkPtGPxR8fLfZogmye/2PyH2jH7r9MdtsUQiLc+utt2LXrl24/PLLsWTJElRWVsLv9+Pw4cP45ZdfcP7552Pfvn2YNWuW2aISOiqseL/GkMQxNhc/9P0TuuYvNxa2osrt5IOvMs1P83zAig+HIJxCbDX1EYi1S5PituDnxDsxKW6LrqUroabisK3040pj4hL6oMgwM2/ePCxcuBCzZ8/GuHHjQs69/PLLmD17Nj7//HN8+OGHughJyCO71Xpp6yBtfP1PusvSUNtqNDiwfaXuZQHQtIpHf6Wz8tGoFknOj1skk6m5nUBn1KAPv89UGZw6Yolq5YWNBgdqmFL+UcSxkhXzEc/5MNKz2gSJCKXkH5gDABi+9h8mS0LYiebFTwEAUjgPAGByZathL7/0PdNkkqLrivsBxHasCkIZ2dnZmD9/PtLT0zFz5kxMnDgRQ4YMwQknnIBbbrkFubm5eP/998mVGUGgve0XQk8jlZ1j76hF64p52iFqDk311WaLYFGi/2bd3gbdiheyxRdt/AU+r0d7mVFx1JWZRb/jNqmGuvaYKocUZUUbQ36rMtIwfOxKs/KbVtcIQGGMmY8//hj33Xcfpk2bJnj+xBNPxB133IF58+bhkksuYSogwQiHKmQJwumET/5YrLyw024YrSidNFPAeu1EPjn7PUs2rsyc/z0RBGEc3bp1w8svv4yysjJs2bIFNTU1yMjIwNChQ8kgQxBK4NXFmKnjk5HGqXeHSW5qlCHl8o1gS+6XZ6Plpm1mi+FIxjQu1S1vn8D8fuzSy3UrTw7uqDhGznBUxZg5KuApcev0EocJVugjlD9Xfdx7s8Lps21FhpmSkhIMGzZMMs2ECRPw6KOPMhGKUI/8B+f0qtyKde4ySBLB9pgPnLDCFsdYWvllP+jd2J1Ycy0Su5DiwTjomyKcT1ZWFqZOnWq2GEQsY+PxC4tFSGKrxQ/W0MpiNXi8ND4yio6oQ6mJ5We37Meu379B3tgzDCszRJdi0TaL9zWzzpFxfmKYb1iwM1bQ8zkFDs6ujYoMM5mZmSgpKUFubq5omkOHDqFjx46s5CIYo9sKeZ6Ht9nkwalhlmht5fibaiTP6/Fm6suLVV9TU3EYicmpOkhDRAXTDl3FShQrKT4ZfeNW3Y5tJ+prK5CarseKbXPrGw2cteH1tqChrhpWX2XlFOpqKuH3c+C4OLNFIXTixBNPVLTCkuM4/PST/u6JCeOx0vgrqfBLs0XQjJ4jvq+3HMYDpw2IoVElGVYIZXRHGbqvvh7r0j9FttnChGDu1zpgx8tR59EZNQYa3aztyowVRt4dzTWjw0pjIz1QZJg55ZRT8OKLL+Ktt95CfHx8xHmv14uXXnoJkydPZi4gwQiG9fiCuF8Df/u9zWh5fZJgOis344IfdpjAqf46ZZnJBMqasu1BiWuVFaGWCatmqkq/c/G7mFJwvz7CmAV1flGhR+eXv1//wNdZjeK+Zq3eoVthu7MUO1f+D8evvQlLO5+PARc/RwPMAG3vLdg4ERvPxvva8UjhD6H0ik1ISTPOxVIs7kIrLdmJQZ+fgKL449B15rdmi0PoxC233CJ6rqGhAW+99RZKSkowcuRIA6UijGb37/9DN7OFADCmaZnZIkSB8n5CLKXcuNHiwzZTib1emgimbv8ms0WwFF1RbrYIqsitWYcdyz/BAAPL5Hje2gpEDWif2xu/4C2pYL7hZarB6nqcaFFkmJk1axbOO+88zJgxA5dddhmGDh2K9PR0VFdXY8uWLXjvvfdQX1+PJ598Um95Cc2wq8hPxr8e+Lu8/DDG4hCzvK1EV1SgTPPV0o0wBx48ONz/7TYM7pauOnfWzdLYrf92SEfo7AYbYKO8d7JSM8+/x9Qt/NFgdUNH93WPAwAmV3yCUjzHOHdzGyCl3xXvp1WjwfTgW/v/gwXLkDf2zyZL42xKV72HQQCGtmy2bRtHyHPOOecIHv/555/x4osvoqGhAY888gjOO+88gyUjjGTiuts0XmntcYRRtDqM1v9ZSI0c6E3QEyAIvdC7fevFl6DX+r/pWkYk1m0zPE0NGq6y15xxdNMKs0WQhIMfWutIS3MT4hOS2ArEGEWGmQ4dOuDjjz/G008/jccffxyNja3B8XieR3p6OqZPn45bbrkFWVlZugpLRIHFFX7GY43nUdHQQq+GkMTpqwP0I/K5OX07ttGEGzPs/HytbhQjwqH3RcQGJSUleOSRR7Bo0SLMmDEDd9xxB7mOtgi8JbdLWFEms1DeT6RzjdqKsGQdIMygqaHWbBGshYXG1f7SbWaLIAtHbbcqjNaPeFuaAn8f17IRS3+dhwHTLleXiYW+CTsSzcJiv8/LUBJ9UGSYAYCOHTvikUcewf3334/i4mLU1NSgY8eOOOaYYxAXR76urQDPITZ1FcwaOektg+p2KqjZPh+LL00vnDeoCVcYR6NAJiNPJHY2JpiPOfGPCIIgnI7X68Wbb76JV155Bb169cL7779P7stiBeoOmeBiMD+kMWIrtHhFnr1f3o+eZgtBCJJ/4HWsTZpothiEDHZqbSdv/SeKx5+DpBQpzzfRuCNjt9vGKfqf1h0zdqol6lBsmGkjISEBeXl5eshC6EjwB+n3++ByaTOmqfoUDFpFJNbUeBrr0NLchLQMNju5WA5KO6EO9UiCBwmarte8sksE5zRxvMBfdqf9Tlqam+CpORJ1jhl8jexL58CjpvKIxQI3mo+nqQHNTfVI76j8yTinLtqHZk8TasoPgvU+XmFD+tEAmTZYjaMbFlw17GlqgKexjtowwnasWrUKDz/8MA4fPoy//vWvuPzyy+FyGe9vnJDGyW5hnUH078cpCi1CfyaWfWrJCfW2X+eCr9jt6LEQtcWxB6u2ORPVitI11FREHGv2NEoaZjy7lyCpcqNm2YhQXLx2V2Z2QLVhhrAunFQ9DeqwDr15DnKu+5JNoRb7NoKVZl3eHIIEzoeiyzcjNb1TSLoBvkJmPtqFDTbSI7PlibdgI5+HC5vvV11eAlpwo/sr1ddJQRMPHdDhkTa/cQLG8fujyqOytATZCgx7nf2VSPlgVFRl2QN1s6i0N0ehI+qw6+K16NC5q04y2QQNE6G66jJDJodHHh+Ovryx8c+avg6KCeCnNtVsUt4cjR5wkmsRC2p8CObccccd+Oabb5Cbm4sHH3wQXbt2xdq1awXTjh071mDpCMImGKSopVaZaMMlqYgxjylb7zNbBEMR02nQ7jc7YM1vCAAav7sn8qBMP5N/eG74BewEikGa3B0crbMkw4xDyckID27UXomHN69jZ5SwcB+XwPkAAKVFm5F6XL7J0oSSxLWgLw4CUD936MJV6iARYQd6R2mUAYAjf/yM/grSpXCeqMtyIh1RBwA4vH0pOhx/rsnS2I/DO1ahjwHl9DDYKAMAPf0lMaylsd6Nd3aUUYaIFb7++msAwP79+3HHHXeIpuM4DgUFBUaJRdiE7r4DVmyOTcEIBY4FN4tahuCYGcO43ag3UZaYxcydJAaWbc14X3rjPAW1mjbb6DfexVMUcYznfSG/d6/7DuM5X0S6cHasW4SaH59E8ikPofbwLuEFi0e2ahNUAKd8Hc1xqWaLoCtkmHEocYZ9gdb61PUMnKYuxoxyrNGtWkMKpjhlW7NT7iMKNH179NyYI7/aTMl7En4vZvUkahcX8CbshKnhkw0vkyAIc9i2zfpBigm90d7PpDF2dUyIc/UH6/F/Y8WjitAK/XZSOA8ZZkwgrjw2jPfBrszou4sNrLBzwh82Jxy/4lpF1/X/8i8AgJ1fX4sh/j2CaaaUfRidcA7E6fZXcljsIKQVTHo1XuY3irLwyoJnsTTqqBkUOLyNIaLECgMPs6Ggo9bAiXXRop4nQqA+gmiFagJBEIRSWIxZpOZzmw/W4h9fslvVbGVoHG5POG/sGWrFvns17cHWLx5B8ZvnwettCRwL/lsP1H5hLOPq9OQPMMsrGtSMco2ekwr2Bbz87piQ5GHvrLvvYDQixRwn7fw3Mv1litLumndN2BHrz6HIMBMzKG+8Skt2wNPUoCitv0LYymsWj/9UCD/DjurwXvmVJkIdgxMVmHaDA4/Skp3wNEa/RutI8Ta0NDdFHPc01qHswK6o85eEqhIzhMO2W6ej1mtXnn6or5y8zSu0mPxlB3YhCTHs/k+g7nqbPTiyT6fV/6QkIgjCZGLTfY494MAzmYvRfC6asSk9O/Mxs40y6/1HX+7Uklcxqmkldq34JHBs94pPo85XCj29vtgHe7UZZLA2ngyFey8n1H6vsyTsIcOMQ2BlNd+3ZQkGf3EifG9NU5T+jEMvMSk3GoJvfd3+avxaqMySqoQhX52C3//3shapFKTgFKZ0Dn4DgxLFl/2BwV+cAO6t6OIL7VqzEEO+PBm1b50eWcZbEzHo86koKRQOzGs5bFrZWBksaMhLhKO2SSr87e2IYyk1OzHo86nooJMLmXSbuqY58s55GPLVydixhLbjEwThPFiuWCYIq6JV+UhfhwXgYkPVN/yHv+iSL9/SvijT36LvWJy+F6AvZ90dJMcI7Cri/ep2zJgFLTCwB7HRWhOK3bU0bvoMANCLL2FRKoM81FPd5A07ovDmRZS/nTe9Hp1ANsCJCuthNb8BAHJxOKp8XJs/AAAM8BVGnOuKCgBAzeavoiqDcDikvGlH5FmYPWhUqnjoUTg34tjIxpWsxbEdQiv9hjevBwBkFMwzWhxnQqvzCYIgCIJQipmGGYvNfRR5SIgRQ5YTsMKImOd58H5lIRPa0hOEGNT6xAzUEMgi01iq22KqX3ehhwLTbKUoIQW9Gy0I1WmrP0nbDdgYikttkL0x2kUd1ReCIMxHn3aIVxgbk5CG+gki5jHR0JC/8z+mlU0QRtDcWIvmV8cJxDMhCPW4zRaAYImUMUDp4JSFP14r2LDZw1rxRNMFvXHGE2Y7QXfGMyHMIXy1WURtsnHTH427PJfAllS7x9IhCIIgCNvC8+RqjhEcx1lt8wOhED4Gd4BE9d2bZBT3+33wtUTGsiXEsYLhvXrD5xjOH0KP2kMo1XB9AlqYyySM+c+KkCf2WmvHwiPZ3yBx2rgPMqCQMmkwEKFeU3rvooo56eujfrQWaCut0LnJ4fW2YF/BCvi84a7qCEI7PDh4mz22rVt11WU4uHuT4eW2NDeBYziBUeRiQEeM3K10qGgLaiqs60dZC1ILMli92wOF61BfW8kkLyPh/X705osZ5GRjyydBEESMYfa4hhW2281NtBODhpmoiHhenMjfbCl9/UxMWnGFbvkTOhHlPDieMyZGzSCOxRzE5tjAHTS11k6B59Fd0lbLZlBl/SpNaCFOaRAiEyn64EaM/uV8FH52r2gaOxiYCOtRNP+mo3XrX4qvsco89Zh3R2LYt9NxYNcG3csK/r5K3r8G48s+UZ2H2AQ/Vr7dsgO7cNw3pyLvw7Fmi2Ir9mz8BcN/+As6zJtktiiq2f7pPWaLQBAEEXPEyrhCb7z1lfA26xv4nJBH0+IxMszYgqHezWaLwAxPUwNqq7TsH1FHNletexlyxDeqi2PM8340NdbrJI04/4ifb3iZhHqotY4RFBtUGGgbo3Fl9vmmg7js3XUoq/NEUX4orIbl6u5Leamx5PImmjs9vvY7AMCU0vfZCKM7rIyhsVM/zKK9br1nsiTqaTOqVm/71dByxzYswhDX3tCDUVTVWDH6l+9cZbYI+qDzSiRPwdcAgM6oOXrEPu2iffosgiCUUrhigdkiEIQhTNr4dwz+4gTV13VoOsBemBim9K2/qL+IDDOOxar6gdQ3R6Pv+yNRU6HOaGFHjq9ZqPqazm8M00ESwglQa00o5pWle7B6X5VsumgMDf/5sRDbjtRh9tIixdcw65YM1gy2bXEvLDXech4LxIqiVxU8b4utnCywluuFWAnkK//MbbA5T4Zovx/bPwDCLGKj6SYIW9Bp06tIaanQJW+Xx/yVwHYnlha9WZVjyhaZLYKjOK5Fg9viGDTMdG3aCd4vMO9SMP+lViN6OqEWAHBo21KTJbEePM8jhdO++JxwNrHXWjsVRhN2Kev7W6vU+SdUG0zZ62vvRJtatCsyw4vVX5chJKvyUisa1AX+srPPYjvLbhqWMjDYHYH6ZyFDVTQB6I1A7vuNZvVWzNRykwKLmgv7em3VlYIEQcQIPI/B3q26ZD2l7ENd8o01qJ8wG2uPaWOBWJx39+QPYttXj7PJLPYeH0Nicb4jzb6fXzJbBMLCkGHGIbg8tdIJDFQGceBQWrITDSXKV3ZUNbbgxNnLdZFHaljeUFclez0noRjfvf5HeBtrRM/rgZMmGt5mD3av+wEeGX+bzR6Fvo2d82iCYHxTZOixBNXlB7D3jyVmi2E4vMhA3ay5j9WNYXaBk1yVqb3NOVK8zZD4SQRBEISzkI69ShAxQIyOcYftn8ckn/h9i+FpamCSF3usPZ/3NVRi1xr1rr6czLAScm1sFnaY77vNFoBgwyQL+TDnwav2Rft9wRE0RrFLRived89UnJYX+KDHL79KLLV8frQMAzs//xemlH2IdevGo+e14v669394I3JV5u0kAxYruJh37hB598HfoZ837pvs++F4uDgeq71vo8+Ikw0rV1+ka5fX2wLfvpWC5+zyvVK7bSxDvmz9Nlakn2ayJFaA1lIRhFWwS59FEKZBwyXziUFXZqJoWJg4oe5HrPz4FuRd/qYOAkWH1fug/O0Pmy0CQdgKaq1jhPDG2+cXacwttJp+++E6PPXzTlSpdPXFqRgJ5vmLZNMIGWTMwFoxM9gwtvRTAMAoj3RA7PH1PynLUIdXZfrAx4Hv3Wqs8g8EAHzun2xYma6jwVY8hb8YVqYQLNs3qd2FANDiacQxZb8xK88MlLYHou11TH7O0dexFE97ENE95Q3ULhIEQRASmN9HmC+BufCkZrIA1tBh2JkJtd+3/qHTo9z99pX6ZKyQAvdAU8uPJUzXKRGWhnpMhyK0LjyYlUWVRomimf97bx0+3nAAT/xcqO7C8I6TkRs3OaWj3nyy4YCp5dsCPvhPGowKYhFDo/4Ifa/C977LnwMAKPJ31VEeguf9cMW6z2EyKETNBW+voakNQRAEoTukSNMOzcPMp7iqyWwRTMFOdU/x4lOd8JMDJeOgOSAhARlmYoWwhqDJ69OxKLaNzs4y6fgjzBDZ7mu2QaYNMsyowzmTKafch3Y4LV2Vhu/WnIF8u5xm7Ipj2b7JfXM874dL1FBO9ZwIhfeLG/Es0i0bS8wY1QmCIAjbQ32W6by2vMhsEayDg+pj+cHdGNqymUleQ7x/MMmHIIjoIMOMQwnverIadob8rtr2G3xer8CV9tJ2eLx+LNlVbkhZrF2aiT1pr8+5K8qNVHyzMsyEy1xasgO71/3AJG+FAmim/ODu0MB7PA8cWBO9TAYjFjCeZQnqUS6TpMHFURpmmXvx8+jEVxkiiVJ8zY2Gluf3GlseQRAEQRDasNPKe4IIx0kzDDVov297fO/Zn/3ZbBEIDdijdhFmQYYZhxLcIVUc3otj/XtCzt9Q/Dfs+OYp5fmZqDwsqmjEP77cKijDPV9txduriyWvN0d27U3vxzI7Y5zUqNthwpPUUhXye/AXJ2L8iquxb+tycwQKY9uvc0XPDfwsHxNWzQz8Tmo6jMmVC4wQy1TKD+7WdJ0d6qOVkd0xAx4pnMcgaZQxbMP9hpY3bvvjhpZnBbR+V3xIfQrNwzk7IgmCsCPUBlkbjpEba0I7NKY2j0N7NmPbx/8A12h91/V6cXD3RsY5Wkdtmolqs0UgNEHjBrPgbLBjzjotDKEblfu3Ch7vXfK5LuXpYQj5pbAM+yojVxov2V0RcezLzYc0lsLyg9X+DLYdrhM8zjlggBv+VPSc2LKaEHTwlgkeryv6nUn+8khPLtN3/U9xTp2aS6IVxnC2xQ1Q7cqs+uAOVent/2Vph+lOQJnP2UwDvxgduKOuMg1S4iRxLYaUYzg2GPASBEGwgov1eGkWp+v+b5nkQwY47fAiLsIJ/RnwzZmYUvo+ZtW9YLYoJsFh2LdnMM6T2nyCIPSDekyHYjcVSXVTqLKqsSUyBo5f4dh444GakN/KB9XC6Yx+lk6eAhj5LGkyJYT9nkldQram65S+fx5cIK05T6e9VDus5pBCPsaM+Hl73zmhP/ZruwiCcC79fTvlExGmke07aLYIBGEaCVyrHuU4V5G5gphG5JixQ7PWhbuEElI4DwrfnSmfkCAIQcgw41DspsKoaAg1zCzbE7kThjf5rlgrTWmLtx4EKbkZ5ajdwMOovjKs9pzdGgaN8Dwv+Nzkvzn6JqNDbstMpMHdMihc2am03bbi7iC7wUusxqAvlSAIghDDGn2ENaQwj1i/f8JKRG9MJ7WpHBNrFsonimGoRSSkoBYmBvB5GgSPCyucGSiTJBRSPj+PGz7eiMd+LIy+HOYIN5c9fftQuOIzxblc+PYaeLw6bHd1QGseXDOaPY2muPWpr63Atl/noqGuKnCscMVninzR8v7o32tJ4VrsXP0lAODArg0oXPEZqo4UY/uv8+Btbo2/0ewJdtsX2wpet68JdRs/Vn1dXJ107KlgHPBpWYLodsyYXM8ZuzI7uPkn7CtYwTRPK6O/q036SgmCIAhlsBpT0CI67dCzI8yiM2rNFoEgCEIVbrMFIPShbSj0fcER9FrzOhBnqjgBNpRUY21x6797Tumn6lqzFiC7OT+OX3srFg9QFiR6d3kD6uK9uj1zp6jpd331CHKZ5yo/CaiefwWmNK/H70U/ovdVH2DflqWYuO5WAEDpTfsj0sfz7cajxoaaiPNqGfHDWQCAjZnHYPh3Z7YeXAf0A7Coeh8Gn/0v7P7ifh2ejT0Z0bwGKFuj7iKex6SqLyMOywenVzOJVL6uQTLXGApQK2WYcXPOeg6TN98FACgdFNmmKKGkcC20OfGLFZzSE6rA5q4OCYIgjML0xR4E2xiGBGEEVGcJHaF+yTzsEKubdsw4FB5Ai8+Pfy3chiwuemUyK3xKA8VYEFdZAdP8Yn0lUY/SX3XIVb5+DW9eDwAY27AYAFC/f5Nk+kR4An97GBhm2qg9sDXiWPbhVpl6l/8WdJTdNxPrAwLhb46L+edCqMGYdrtu/xZDymGGDkF+zXZfajnIPR5BEIQiMlDPJB8aH2rH30S7Fgh7MbH6a9RUHDZbDMKhUH9CSEGGGQczf12JhquEGwx1zYj6lc8LNsoHadS9KZPTt5nclnJh/7UnxknPqvPjguqzqLVdywobf2S8DS0yqzPw0YBAiMBzt/fHZTqxMeA05h7JKEEQBEEQhF0ZfuBDs0UgCNUc+vbfZotAEEQMQoYZh8IBKKpoiy3jTAXPvspG+UQwZ5Ep6Xedgyvo++GDV4UHG2M0VDLBeDUC+XBMKzDVzHC071xzlustgrAcQW1krO8wBUAuNgiCIAjbYEYcUYKIljgvm912BBFOKueRT0TELGSYcShaVbkcAx2wVByB6DIO/XmwuknV5VVHpIOBZ215EzvnXatWKs0kwGtYWVYhVLnGRsl0oHAdCn56XdjQoQQZZZcrqD6HJI2ynsftXyZ6LvQ5sfueevPS34BT8G+LjC8DiD/JtvfKSvmrpg3k/O0TV93aTqOQkf/IdvE673S2L/kA+7YsMVsM/dDZZhC8G+uiuF/QueWAvgUSBEEQBEEQMQUnEvvTDjEqCGvTzFsk6DdhSdxmC0Cop7RkJ7JUXWFsRyKlXDRzwWfyp+dInh/o2w7Ubhc9f6ROuZVbiXq1C1elOD/AGYtlQ10dsVFCd/vhSgxHBZand0EKkxxDaeCS0eGor2qXS6TJ1PByJtYsjMzm6DOh1eHRMbH6a8HjVnyq7uZq/FJYhk7J8ehgtjAy8BwkP1s5V2aTNvydrUAMEeq3GutrkJwa/VvZv2MNJm+6K+p87ArrAMCPx7/h1I3ABEEQhEOgsTxB2I/x9T+bLQJhEqxik4lBfYKJuKy/H4UMMzakrlztqndhDYZe8QD02zCjNePWlQ89+ENRlV/Z0GLqF2P3xfR60RUVAABv8ZqwM0ofmHQnWedKB/xlAIC4uKAKEKUrM2FJBPKhF88M0R0zJmp5q/hU/OPLrQCAj6aZMWCjQaIYnsZaRYYZD+9GIie+A7LhcKGG0slVXnCfT5MZgL5VgiAIgiAIgmBPOqcsTIJWYiMWK6EV65uOiAg4Ttk2OG363OgbDLEtoOEs3Ho46rLEePwnLYowadQ8mWjUJ7Z3ZySBHq7MgonNDo+UdVERbF/TqUuU+qYbmn26lEkYSWx+g5rdRxIEQRAEQRAEQcQIsTlbJJRChhkbwjFyC6JmBaoaW4HSnS0PfLsdWw7W6CLDgo0Hg65jtZvBXNpee2waHxQQ8YLYfyeidZuZqx6h/OXeN9WH6InlZ6giHo5MUju3TU42iOtFSHvoBF+bBEEQBEEQBEEQKqipPCKbxs7zZEJ/yJWZg5HTk+jVOPhVrKLdX9WEId31jayQtO41HOnSF9lR5nNp3E+K0l0Z9x04ckMjS2d/uc4lsHcvFqK8FfubQVnBxqCuFauY5E2IG6PNVSm3vvM0NCBx3aumShLM9sXvw5WQgn4TzsGO5QsAfwtyZK+KhQGn+trCc85cA7N95ZfoevRvqaCoKV7lCzCCIWNZKKxj9RAEQRAEQRAEER15H4ySTUOGGUIKMszYERvPzaWUN7LXarx0RPMaNPxvetTPLYlrUZTuwfh50RXkYIK7o46oY5x7qPJTj89k/8r56KswLcdIqdjftxOl0iUxKYcwlwfj52GEJzxOkjlUlZVg8uZ/AAD2D/8TJq2/DQBwGJmS19l1wHmoaAvi4hMjjrPanepEGpp9yF9/i6K0/fy7ZNoweexat1jA+/3gbBC0kiAIgiAIgiCISGhWaR7R6KCNgmZ6tkRdxTK8GiqMMaM62yC9zP6qRrzze7Hia1M4jw4SGYsdGhRbIqN8DT4bV75D+DpS4NoWHlz7TiVT3mNrmRNdf5hQdnv5wTTWtO9m8za3B0JM5O3fjgrRUHkAENjlaKphxuJ2CI83LDaSDruCgnfMqHG9ShAEQRAEQRDMoLk+ESUuOZ/gRExDhpkYQGylqfCK/ugbDCn3I94wN2da+riv/jiEc978Hb/vq1J/sQMgBZUy9On6RHJl5coskA+9Y+PgRP6WgbGbJau+8WC3jH4ZKVntErMy+vSaBAC0+MgFqBQt3vaaVt/sNVESgiAIQg4aGxAEQRCxzuIeN5ktgi0gw4wN4RS+tjYdmdGKfDHDzJFaD25ZoH1VOI/WnTIPf79DNq0T2VlWb7YItkJxrVdlHdR3mtWmBCfjm16IxZjRefosuYuQUdlMV3IFx0/yBx2V63ucr4Yw7su0+LMM6+ej3V20u7weE59fiqd/2RlVPk6EP1oXvP72Z+7xkhGLIAiCIAgilqjz0MIcwmYkdzJbAltAhhkbotbXuFalY8GCB1Cycz0AYOeKz/B/cT8qvFJYYfDxhgOa5AimokFZnBfC2hR896JOOeutzBTJn5FSvC0XPiy7goXPM8k/1klAs+BxTuAvowlvp3etWYitXz0B3q9QAcvz8DQ1oOCzB7F/22p2cvEqdsxY3ZggAe8Xlt3v96Hgf//B7vVK+7/oKdr0K3pum2NYeVrgw9+1zKeza+23kudfX74PAPDR+qBxQojxh4zV4H3yaQiCIAiCIAhHsuNItdkiOJoJrq1mi0DEKG6zBSD0Q5OuOEgRkn/oTeDQmyg9dj8mb7gNk+OBtf7+8lmIKLiidlPCUOfXxMezy8xgbK38BIcDuzYgf9cT7DPXTW/X/rxFXYPq7MIpf8/TWLtlDLJ1LcX5JHEtqDVbCIVMWDUTALBi7WAcO/bPiq7Z/c1jyD80Fzj4BkoH7ldYkkzd9bevzOoM6cmAE1XnhUvnI3//y8B+oHSk8DNlvcNt7JLLmOanCypjyU1YeR1KRyutk4IFRnGtM+h36EuzRSAIgiAIgog9LDLJKV8+12wRHM38hEfMFsF5WCA+E+cyXwY5aMdMDMBSaZTNVSkqUYgP1pYwkyNatiaPNluEmKWx6qAh5ShX41nHlZlU/k2V0e84IyLhwQWMnWaoftvaZzGDa0v5XsV5pVZt0yCBXNyY9lX6cQ4NWihl7PaX7wr5reUJcFaZzTEl/EnocY/OrG9ayUP7GCoGwjkRBEEQDsLnJRdMhI2xyLgrs2Kd2SIQBKEDZJixIyr1Hyx3WCgy8ujUcfEMTUwUw8NEDNIosXrDod+P3q7M+MBfAicJB8J2B5ymbZIyp9XsjLDIrEUTQrJHP0Ti/f5It18a+ONgTdR5sIRTuWOG0I7YLmSCIAiCsAs7fnvLbBEIQjO+GmssMOZEQgYQhGWxwI4ZO0CGGQfTpv9Wp/iLXgHA01JOQgQjDWLsFN4K8mFc5wWfExfHtAyinfYdM/YeOOgivwoFvJ3dLIpikcFkWZ1wfCTTcOCrtjr+8OBjBEEQhGWx+5iSNa6yArNFIAjNuBrLzRbhKDQAJwgnQoYZW2Lea7s6TjqALwDwahR5KpRe1A05m61fqPfpWXlkX9Cv6CdAnqYGbPvoTuzZ+Et7riEbZoxyZSZwL0WLBK9I8VbqJ06MwAn8ZUs0GBE4mTpd/e2/tEpje0p+eQl9DoTG9RBStCRz4kYT/qizPCVs+3Uutn71pEg+5rJ98QdhbbT+K/aCF3l0b96je3lWYNv8v4uecwV1RmbXB4IgCIJQBXVchI3xd+hptggAJOLdEgRha9xmC0CoR4kxg29uAJDBvOxpcRsVpLJ+j2Hlld2xuuFoasmrWLM5H1nTzlB8je+zq5nKsPu7Z5Bf9iGw9EOUDpcOVB3yFbJyZSbx7idVfiZ4fICvkEnZhLlEXYM4DvG+ehaihDC0bpnma4/s24ZshrLoBQ9OsNvKP2xsgM0pW+8TPWd2tzB5810AgLVbTsAxQyZHdFSczgtGuqJC1/ytwpTyj80WgSAIgiCY06/iZ7NFIAjNuNO7mS0CAGvrsAhCGPMXvtoh3ivtmHEonL9Fk66YSZVVaVmob1YWDJDnLeNVhtAJT81hVekH+YKCnWusHMGGzoTq3TKp9V2xTH5jzeKoKzM1VciocbHSes3z8LjZGOO1u6MMva6pzh7KdJrkKMdTW3r0r7BnRp2zbrCIUUQQBEEQZhIrCywIQl9oTEgQToQMM47FPCWJGqXe7/sqccKLy3WURhgr+/39YXup5HlSIhpLsLFEXa3R/p7oDRsHbxGFshO+a1esbveTgPfzbLpjqz1bv7GuzAiCILTAG9BWEQRBEA7HGtNFq4hBEIpRE7oiliHDjGORj5ogqAhUER9GHOXKlM83HVKclr5p+8MDuioY5eJliFwV9GdkJQv5TnitRhqlkjgjCL3daH/HKrpEekXy2KjRVm4EMOeerGKiaHdZFubKzEbv2hGQ0YogFLF3829mi0AQBEHYHYsMu8i7BkE4EzLM2BElChCOA88Dg7i96OcqkUxa8M1zKPhpDiPhAL9Oq9N4RguPAWB00woULBD3529lnKy012ZYUUZ1+QEUvnu9bvkT9iSjpUzweMEPr6LgU3ZtxJGSPSicNxP7d6wRSaFP3fd5vdj+4d+wY6n+sSt688Vo9jQGftulrfJs/15ROp9XmdtNPWDZNO5Y+jF2vH8zdrx/EwpXLDBfINEiaPIJwJDdSQThVHzNjfKJCIIgCMIGhC+s9qnyw00QZkB1VAlkmLEhce4ExWmvc38jeb7i8F7kFz2D/O0Pi273t4obANZuTfIPGRvYmWCPP2QwEtrohw9cqr+4DRNrpL8HOUTdTSmsm3LfUnv+1IEZRW++WPBp5xc+gvzDc7F/x+9Myil95zIcX7MQI388O+S43vrtwsXzMLniE0za+Hd9CzrKzh9eNKQclkwp/0hRusIl76rOm1V8EJbVZNLGv2NS1ReYVPU/pK95jo1EUTdZFlmKaBPoaREEQVgbuyxOIQhCGt7vt+zUfD+fbbYIBCGNBbwqcC7rmz3cZgtAqMelwjCTgBbRcxx4eOqrA7/FFEhqFUt67XrwMzBzzgAAjDVJREFU+nm4XeZ/2EQ0cDBLpdTFUyR8QqazYBn7g4I4WxMpF3LN9VXRF8DzyG3eE30+WoquVe4ukgVxdQcNLY8VSnZn+OuOGCCJMHrFW3HDp+3CCHmsP+AlCIIgCIIgCDV0eeUYFCcdb7YYAAAX7SYnCEdCM2k7olBB06pvllE6Bymleb+IYUbkuBh6KZ/JpbrziSoQe9i14Up2NgaW6PJQ+y0R5sPSMCddjvozocm0fTtG3Z8z4NS3URbZccoaI3xc62WMcgL0aAiCIKxNx2Ra/0oQTmF00wqzRQAAdPEfNlsEglAJLaxXAhlmHI7s3D3YMCO2Y8avbkWtXn7hecASW+HMxsmKVLW7raRSa3tOkfUrJB+dtWGBnRtUzw2l7Wnr6XZCd5cWonXTxLpE9bgVJz6HsPrGRX2PDnxGjKCdlgQRBU5sfwlbMLpHR7NFIAjCYYT3aOQykSCcARlmnArPK9QhBzXmYjFmLKIUsIochHasPniYUCsdBDzESNNUGXRGYYwZqsOOIW7nt9j1zlXwNNapvrapoTbimHkGV+Xl+lUHmLT29x6KTjs9Fea77dd3pBP4vJrKL962Envm/h+OFG/XdH04bVXAiN0sxb9/oem6ormXIHt2D7bCEARhT2h7GUEQBOEQnLxAl3AodlIHmAgZZmyImh0pcopwjmuvAqI7ZtROagTcNdXzieryEJRDedoOUK8sJfSH9VAiuHYnVhUyzr0VMV+u+Qdeb/+h9MYc6tbI7gQGuSoGDhPqfsSEuh+x+7tnVJe3Z+GTyhNbaLVvC4WlU43S/nPK1nslz/c+/K2m8kf9fB7GNfyGpK+v0XS9GP6ENKb5CTGl4D5N141tWMxYEmVU8Po/E4IgCIIgCIIAzIrcSxAEa8gw41jEg1mLXsHzglZ4XqUymRfwPX+850VVeQjmyyvXmyZC2+piwr7Ee+s1XqlC8R3l6Id2zFgTqdVHcnr1uAalAeHb65m7MdI/MIsVUKxWUYkZE6j2mkdiS6V8IglyfSWMJGmFdyeHHrCQAdEs/tlyrS75tn2PtXz7M6dvkSAUQm0TQRAEQRCESZDJQQn0lBwKH/ZfMYL9wouv7FUZ9yMsn/18FmoQ/UrSwjKtinfCKrSa/tiplIJzcvHSsZDUxq+RL1HD1TIy0PZks9HSJVpc6cNQPEVZWfxxiKKgfeA4TrU7RlYuv6LNxq6vxU40IFk+EUEQBGEbohqXk1GQIAjGuEhXQBCOhAwzDoUDD46T2zETtgVFRPPjV+t+SSd/zsv3VKgRQhcZiGjRb5Li4kN3SSkuSSZh6KRMrF6xdVFm9Vg8ToOL+EPT1RKE15v2a5jN2zVmpE7poCAtH/wn1WMAFo9xQO+IIAiCIAiCIOwGzbUIwhmQYcaGKNlxoFzZFmKZEQx+XlOm0gWKihg46vLVJ1u7Qd1vO3Fce6XgGBtHAmUocIvH+b0ofvO80IDTAspYpavnB/j0iZdDaEF9vTqw4G8Rx1L4RuHEsu2l+BdftNnYWBpK+pW0ut0GSGIOmiY/Et98+cHd2P/GDOxe951sNkkCrsyaPY3o8FIfZM/ugZqKg9JiyEsKAKipPIKMl3ohe3YPVJZG9v1tu2zrqiLd8RH6sWfDT0jn2tsQVjuxCIIgCIIgCIIg9IAj7aUiLG2YOXz4MG699VaMGzcOU6ZMwWOPPQaPxwMAKC4uxpVXXokRI0Zg+vTpWLp0aci1y5cvx5lnnonhw4fj8ssvR3Fxccj5t99+G1OmTMHIkSPxz3/+E42NIkozm5KDI+B5eUUS52o/f7Dwd8E0vh/+obJ0fRQGFJ+jlXi7x8+RUChF84Zr0o6N4mpx3Gh3kcaJKNH7H/kGo5pWymcm58qMlG0moT4mV4CwnSqHiv4QNHAnci2C1wxvXt96SH3JGLv4kvYfBtQdJTKOaF4bdIF9BmLKFd3R15E2Wr66BSM9qzF+hXxskuP2vRNxbNcvrwfq1ZGv75MWQYGYAHD4mweQwLW2edVf3xlx/vNNB/HCot2o++EhhTkaSzWfalrZHVCnS748z2Pcsit1yZsgHI+N+iGCIAiCUAPtmCEIZ2BZwwzP87j11lvR2NiI999/H8899xx+/fVXPP/88+B5HjfddBOysrKwYMECnHXWWbj55ptx4MABAMCBAwdw0003YcaMGfj000/RuXNnzJo1K6B4+f777/HSSy/h4YcfxjvvvIONGzfiqaeeMvN2mRN3dJW3lKopvBn3NQsbpzJaSlWVrZd+cNXeKjS2SMcRacPMLuoj7wm65u+3cQfM6yi6Ny0n5LeLY1MR/QqayQ68UoUcGV7MpMDfU/cyvCLtqBgpnIdh6QK7tDS0F2IGQrW+1r0+J9Z3tffEi3aKHb1HBI/7lTaUnurAn0nN5SrlEibB0+4yNLW5LOL84dpmvLtmPxKaIs9FB5u6UoV0JvlowaXTrk2CIKKAFrwQUdCMeLNFIAiCCEDxaAnbQQtkFGFZw8zu3buxYcMGPPbYY+jXrx/GjBmDW2+9FV9//TVWrlyJ4uJiPPzww8jLy8P111+PESNGYMGCBQCATz75BEOHDsXVV1+Nfv364bHHHkNJSQlWr14NAJg3bx6uuOIKTJs2DcOGDcNDDz2EBQsW2GbXjJJV9e1J5D4E9lUgfOUxz1Ab/9xvytzkmKkg2cN30zV/atqMhQZAzqf9HUd+Xfq4DGovp71kk+qZimLVBpycv06lG0zCfBQPnqldJAgn8eOPP2LAgAEh/2699VYAwNatW3H++edj+PDhOPfcc/HHH3+YLC1BGMN2Xv8FPQRBEEqx8wJdgiDEsaxhJjs7G2+88QaysrJCjtfV1WHjxo0YPHgwUlJSAsdHjx6NDRs2AAA2btyIMWPGBM4lJydjyJAh2LBhA3w+HzZv3hxyfsSIEWhpacG2bdv0vSkLwilSwqhUwIS5e+IY7VwAgO1HlO1MiDPRMEPdpThGbrdVvOpcthnUWH8Fvi2KC2BNoqmVTtxCzov0C2p3oRUcqWchjkEouze1BjSe53VbKeTEuhc19EgIQhM7d+7EtGnTsHTp0sC/Rx55BA0NDZg5cybGjBmDzz77DCNHjsT111+PhoYGs0VWBq3UJKKA+lmCIKxEuI6L2ijC8lAVVYRlDTMdOnTAlClTAr/9fj/ee+89TJgwAaWlpejSpUtI+szMTBw6dAgAJM/X1NTA4/GEnHe73ejYsWPgeqVwnDn/1MjXi5MO0OsKzlAkb9UrucOUdz24MjzofltdHlHC0hhkNZy8g8NXtQ9b/jMZhcsXSNZ5oeMcJ/5sjrx2KnIR+S20XiNsxBMsQyR/0eMR365MjBnwpEPQFa71+YrECuKPng9vFpXUxcB5QeNbaHnJTQJ1UaxucJxgPxAuS37RMxjbsFhQLsljR+tcyL8o2xi1fZVd4LyN6O/bqe4asIsd1expkKwDbcf8Pi/2vnURCj57QPB8hIwq2tq2O3GFfUM5P1wdIZ9UOUruw37oI3SPN/sLl2bSGNSe74aQY9euXejfvz+ys7MD/zp06ICFCxciMTERd911F/Ly8nDvvfciNTUV3333ndkiE4SlIYUpQRCscbIeiCBiGbfZAijlqaeewtatW/Hpp5/i7bffRkJCQsj5hIQENDc3AwAaGxtFzzc1NQV+i12vlMxMc3yZ15clySfigMTEeIxx7ZBIwiOjY/uuo9QU4XzVuq9JS02MOHal+wc86b0IDVAgOwOa+EgZCPPhwSE1Rfzd5Bc93/rHutuAv1wpmi4rK/LbS0iIB+dqnwQFr+4f4t0imk9c7T7JMoIjN8SJmLKFvhF3fFyEnHUJXuEM2uCE741gAw8OWVnp4P1hu/qOvj+Oizyfmpoo+U7i3KHvuSo9so1LSgztb0Z6VofIJEVyUrymOtF2TUKCO+JYMJyLizheezi6dtqOdTijQ7JsmsElH6nOt1PnFJSKtHlikyuxnUn7l7+D8RfcFfgdHzSOcQW9x02/LcCYxqVA49KQ68XeS/Dxfa6gRo5zRVzTVluP59eHHO+CCqxc8iYmXPxPwTKkygdaxytK0slhphrMyKlyp86pyOqUIp+QIBSya9cuTJw4MeL4xo0bMXr0aLTtsOc4DqNGjcKGDRswY8YMo8UkCIIgiJhFrV6OIEyHs+xeEEthC8PMU089hXfeeQfPPfcc+vfvj8TERFRVVYWkaW5uRlJSqzIpMTExwsjS3NyMDh06IDExMfA7/HxysrxiJpjy8lpTYkrW1srHwuH9PJo8LbLpqqsa0BYRpb6hSSw35cIBqKsVzsdIC7+Z/jf1vk+zVkrc3HwLXkp4Mep86uvF6lkoZWW1gb+zRM4FH29u9oL3q3s2ZWW18HqE5WkrI7gm+X3KXeR5W3wh9wAADXV1SJO6iG8tN/x+CXaUldWC9/uRLXCO5yPP19d7JOui18uHnK8VaP+aPOJGfznDTGNTS0Q9EpMlmLZrmpu9EceCr+X9fET+NTXKvlG5su1EdY28W55UvkG15v9QaS0aGtUt+hDDU1sV8mxbgt6tP+g91oWNj9oQajd5cCF5+oPbUN4veI0YzXXVitptwWsF6qmWdtDM6aoXcYaVVVlRjySfz7DyguE48xYmEfrA8zz27NmDpUuX4rXXXoPP58Npp52GW2+9FaWlpTj22GND0mdmZqKwsFBVGWbttKI9C4RZ0O5CgiBY09sV6nWBduYRVkdZ6Ay9ZbB+uZY3zPz73//Ghx9+iKeeegqnnnoqAKBr167YuTPUnUhZWVnAPVnXrl1RVlYWcX7QoEHo2LEjEhMTUVZWhry8PACA1+tFVVUVsrOFVHXi8LyI1xqdUVymTDo+XMXP6F54ETdBRkLbPNlTwrMxFyiuvhIJhc5pid/C8wAvYsVvyy60PVXnyixcJL+M4YgDb0qbEivwEG63295f23l/UIK2Y5L5Bp8XShvNO+U4TXWi7ZrgAbtYPhHHo6yDQmVbHb2+u7/MWYVXxrHqXMPlDGudAs89Eqm2Jfh4eHyh8Guk7kTuW1F6zq5toLEx1Oz7nAjrceDAgYC3geeffx779+/HI488gqamJkkvBGowy5h3SGAXP0EoJZpmNjHR8moWgiAIgtCVpKQE+UQ6YwdvHpYeMbz00kuYP38+nn32WZx22mmB48OHD8ecOXPQ1NQU2CWzdu1ajB49OnB+7dq1gfSNjY3YunUrbr75ZrhcLhx33HFYu3Ytxo8fDwDYsGED3G43Bg4caODdaYdVAHEOfOjWMpF8VRs5LGGYcS52vje99Ug1TV6oX7Qc/fZK5d8IadKsAB/2HsK/KVU7rxh9kOZ91/rVSartrVSK7JiJOvaMWKVRuSxo0c5yjD2mI1IS4kIytZNhjSAI7eTm5mLVqlXIyMgAx3EYNGgQ/H4/7rzzTowbN07Qy0Db/EspZnkZqK/3GF8oQQDweGTcFxMEQUQJzbUIq9PYxMZzRDSY5c1DjZcByzp827VrF15++WVcd911GD16NEpLSwP/xo0bh+7du+Oee+5BYWEh5syZg02bNuG8884DAJx77rlYt24d5syZg8LCQtxzzz3o0aNHwBBzySWX4M0338RPP/2ETZs24cEHH8QFF1yg2pWZWfB++YGe0smPkq1lPfhDyjIjHA0bJR0HkfAJEWS81Av7ti4XPb9r3tUhv6cWv4TeLg11VeS2Cn56PfKgBuNlwfezUfHqNOxasxDx805RLx9hHELt4dF3XvDtC6h4dVrk6Yg9VZGG6clb7xMt0gU/3o5/Ah04eVdaRrD1y8dx7PcXMMlrpGunfCKLkPXdNbJptLSBrW0DKwOHeDsz0vM7fN62sUHk0E5K9jv+twX3flOgUALxfLgoF2X8x/0GXol/LiIGlBpiJcYMQbCmY8eOIXOCvLw8eDweZGdnC3ohaPNSoJS23aqG/2PydAhCPbSrkSAIgiDMx7QxqIpxgGUNMz///DN8Ph9eeeUVTJ48OeRfXFwcXn75ZZSWlmLGjBn48ssvMXv2bOTk5AAAevTogRdffBELFizAeeedh6qqKsyePTsw4TjjjDNw/fXX4/7778fVV1+NYcOG4c477zTzdlVRvelL2TQceEWLZl1BO2ZSs46JRqwAVhiIOtmVmZPvLZgEzod+v1wpeK6+tgITan+IOJ7LlWsoSbgZzN/+EIDQSb3Ys5f61PJ3PoYBvkJMWDUTuTgskTK8NII1cQJGEyDyvYbsqDnaoOXvfhIDfOp86ishh6vACXEbJVIYq2qeWvwSUrnoYsy08VT8HCb5GIH8t6mN1renz3cdbiQp2vhja5kCVUau31i6u0IwTzX5ZB1ZKnmtJLwfl7h/welxv+PwPmVGIoIg2LBkyRKMHz8ejY3tMSwLCgrQsWNHjB49GuvXrw/s1ud5HuvWrcPw4cPNEpcgCIIgCIKwARx5YFCEZV2ZzZw5EzNnzhQ936tXL7z33nui56dOnYqpU6dqzt/KcC0KVlZz6g0k7sQUbQKFwfPmBKQNhRTcVkTtivMOXANKhfKJYkV1BAyigbmEtgFpsFBSt6UvbfVPzFVZoH4G1y8LBKyLDrvLbx3MN4qHvcvweDC+FuF0BuGKou/ngoymfkuMIaxNuDtGgoiGkSNHIjExEf/6179w0003obi4GE8++SSuvfZanHbaaXjmmWfw6KOP4qKLLsL8+fPR2NiI008/3WyxCcLa2H78SBCE1SG3wwThDCy7Y4aIDo4DqpvkXJ6FTuz9rLa6iORjZMdhbhflTIUJi7viAfBWGz9wappBZ77bWEGsDWpXuLftb4id92y+scHZSLkyU//sw9OLNKa2VwbZVX67yk3EOmlpaXjzzTdRUVGBc889F/feey8uvPBCXHvttUhLS8Nrr72GtWvXYsaMGdi4cSPmzJmDlBQ2i7n0RonLZoIgCIIgCIIwC8vumCEkUKBIdnEcFu8qB1TE5vytsBxDohArgAV8mZGy0boojTFjFLwKwwzVqxhEtj2zttKHlFJWwNh2g1Ox5iZCMrPqS9B3pqZNJgiCDf369cPcuXMFzw0bNgyff/65wRIRBEEQBCEF7ZghrA7N65RBT8mhvI97UZR0iapr1u+vZlK2f9v/mORDCGOWcYBFx58FNnWMla/KI6+dhqklryq/QGejIxl+9KXt6e78JDSmWH7c5qN/Hd0xE/SeB6/6m3SmHIfC925E+asnwdvsYSRpcPb6DrgHe7ei4eXxqDyyD57GeiZ5lrxxNlt3gxZBWxso/k2r/d55PvSZhtcNnuex/bd3cfzamyKuTeDkdtAqlEHiGWT6jijOp+LwXjS8PB4F3zx3NN8gwwzPoamhVpN8CXyLfCIHYIH1LwRBEARBEISJ0HCQIJwBGWZsSGK/k5jkwyHcZQ+bpn1izULB40Z2HGYquGndgn0Y4v1DNk1Bl7MMkIQwgrZvc3LFJ5Lpgg0zHbgGWYPFxOqvMNC3HUUbf4hWRFPoxZeg4ruHsHvZB0zyG+FZg9KSQiZ5EeqYvOWeqK6XMz619a2VSI84l41KxeVUffcAevElyC96JiTfNvb8+obivILpxpVruo4F9Sk9TCubIAiCIAiCIAjCSrBaUO10yDBjQ+JTOpotguVx8udv93vjYa+V9Hx6TuBv2tHicEQ/Lqn33n4R72OzK4ElSnd5cP4WwNfMtGRC3/aaN3EI1xKlJ9w4X9jusuAtIBwH3s+yLhqEK95sCQiCIAiCIIiYwe6aIYIgADLMEEE4qVknBTp7yIcpoL+ymeqtJQjzE8Qr9BukJraHFTlYw9IVm/b2wsOTglsJ4bWSTfwu6fcW6AeYN1XBGVJfQxAEQRAEQRAEYWtoWqcIe2uRYhY2Ow6MVgEb+U2a68qMlPd6w5v0DNS9W15TnA0nxuawD22tlDbDDM8pT6uG4DrB+/261ZGNJWxiQAEA53LeKExL265Hf9D2/sON5ex3I6p/h1rrJhe2Y8aOQVR0DgdFEARB2AjqEgiCIAiCUAIZZmKY8AGjk5QKea4DppV9i/sL08rWE1ZqMu/+tVHn0ePd0QwkUU+yt0Zx2iml76PLK8eoyr8rKtSKRDBEbFdYeND1YLxBH8bENTehZfUctjLxPMpePw0lb5yNg7s3ossrx6DLK8egcMVnTMsBgP/Ev8k8Ty1YVSWfzKl3r9WJq2Mqw76CFXC9chy2/fwGWKh9hrj2hh0JzrP1TezfsSbiui6ccDyZuFeOw56Nv6CluUmm5Pa3XFK4Fs+UXBT47Sd1liw2tFsRhEnQVJcgCIJwJuTRhLA8TlIy6wiNVmOc4NXdeqz0Not/u+eaVnYi16Jr/nZ305Z/+O2o84jnfNELopj25z3At8PAcgnWKP1ywttCKcPM9sOhivcJdT+qFUua6n0Y7N2KEZ41SPzhr4HDE9fdqux6hYOhxBblRkdCOVfEfa/6mh3+XNFzXX69FVmoxpRtD6I+PjMa0RST/vPfFKfNRDWGLLkO+zb9ovia1J/+hnSusf0Az1m+n9uYMMpsEQiCIAiCIAiCICwMmRyUQE/JgXzum2S2CIIYqWhxG6q4jw1oRYYxmOWmjWg33EQYqf3i78TIt+WSMBBZDxpeAIBLsoYIn/uv91zRK+L49r7Nz8WFZcegNgo08y6VLtLi4AfPK++D4xCW1gZu8OpSe5stAkEQBEEQBEEQBGFzSHNiR2R0L36Fr9XqK1Kjwdn3RhCEnoTvkDHXWEbdNNGOsX1ba2+j1igftRGf56zrz84i0OMhCIIgCIKIbWg8SFgd8mSmDNL4xDh+n9dsEXQhjnkQZCJmcZCLP0Iaqxt0XeE7CyTQGoSd0AFG1SqyfqrLWKpOtO2K4UJ2uvBH/799RK2kb/WDAydnnAlpV0Pvw09tLkEQjOB96mODEUQb5C2AIAiCIAi9IcOMA1E6iMxGJQZ9PjXwO6miQC+RABin9OyOcnTlqgwpK7YwZ3Ky7Vfz4gUBQLe97IOsS1FbedjQ8oh2HvH/F0WbfhWIMSPedun+VQQtM8nzFym+rMsrx7RloPAKtu0zF8XyGCcpQjjwqndcjXDtlDgblFdEvZQup3juhYLHT3BtQEHiVdj71sUYV/9rxPkkvj3+y9sJT+KZ+Fcky1ELFyb22G9OUOUKjSAIQozU9WzbK4JQDC0TJghCZ5w0ZyKIWIYMMzZESknYel5bvjdzH2m70GJc7/7KbBEIhkzZep+p5ff3SSlJ2XNgyZuq0tfxyTpJEpvkLrkd4Qpu6TZXZ4OzYRN7tuVEY5iJda5zLxQ8Hj75Cl/sINf3j25aIXj87YQnkci1YEzjkrAzreX14A+FHD03LjxdKKmcB3L1SW6hRlxDqeR5s6GJMEHYg+NaNpotAkEQBEEQRIxCcyYlkGGGCNCBazBbBEIBZrlbIucyBqHSsnrAnauTIIQSpIO7s4AGM3YnfEeIHH5e+J1H68pMPdryr0Q6YznsgZFfqtwCHYIgCIIgCIIgCML6kGHGgWhdqKy3wp/UiwTBHo4UdOzxhz1TSVdm1t4xIxvrI4B16pGTdiO01g918X78EvcfesY67ywYZVK1p7J6bCeCIAiCIAiCsBo0giYsD3nRUAQZZhwI6WmdjXk7ZqhRNQZ175dTqfQl5Glubgo7IhU03V4NLu/3w9MktDuSvm+9ENvdIPbERQ0zsp0767ZAW53g4YLf64k43uxpj1Uj14+RsYYgCIIg9Edsly5BEARBEMZAhhk7opPlpRtXqUu+bZCihSDk4ZrrVKU/1r9HJ0mcR5wCxXUnvgr9Px4fckzKbZDe7dqQkvlM89vz7tXo8Wb/iON9PVuZlgOOhhdaSeDEA98H1zer7pbLRDUmrrs14njuG/3Q1FDb+iNE9sj7mFT5mU7S6YeRC8Ka6muMK4wgCIIgCIKwHLRwlrA6HJkcFEFPyYHQbjFnY9brzc1IMqnk2KJbxSqzRXAsyYhcxR+RhmtWlafehplMVDPNb3zdT4LH1cYY89EKS/Mx0S7zrW+sputKCpZGHHPMog0DDWVlBb8YVhZBEAThXKTcpxIEYW3IMEMQzoAMMwRBKOLK8ceYLUJM4BglpYOQ2jHjsrorObLUm07wzhYvH+2wS2KniUbDgFo3Jrv93bCTz9VUFsEG6iUIgiCsjj3GX6TYJQjrchiZZotAELpwiMs2WwRLQYYZgrAZZinuOyS7TSk31qDpkfWQ0nfT+xKGI4MQAL3rB6nnrYSRVZ4UaQRBEARBEM6mgUuVPE8zAcLqiK3/O5A61FhBLA4ZZmwIb/UV2oRDIUWQMdAQSy9SuCZ4m+XdmUXAi8f8sPyOGZPw1FeZLYJl4JsYxW/j/cjga4N+s2krpHKprSoVSK+9L2gz2NHOwOiwaHghgiAIwmbEaneyJPtSLB/1gtliEARBOBqxxZoc6VBCIMOMA7HqhP2MuJVmi+AIzFJocWSYMQRSWOpHNlcDvD5e9XXcgsvEz0UjkI2Ru+9h355hiBxW57y4xTj74LOB39F83/kH30AS1xL4fcruR0ITaMw6jhO+sIOvHH3fHxlxPM91UFtBIsTzLfKJiBDcfg0GZoIgCIIII1Z3YPKJHdHv+Blmi0EQknDwY1Gvv5otBkFoR9SlAOm8giHDjAOxqgeZx+LfNKScWB1g6g8914PIMqAU6qT0pDvKVF/Tz79L9JzVDWnUHppLIhdqdOBC/o6u7iRy3pDfPOO62JMXN8BEX1J7Djk4EnVuhiMw0OLAYZerjyHFZzYVGVIOQRAEQRAEYQ7xfAsGn3mH6PkenPp5LUFYAdJQhEKGGcJxWF1Raleo8QSa/HG6lyGyeJ2wKNTesMfJT9QV8oHb9061G/ycPew81GGYQSXZt+4QBEHEBnZpp2N1hmeX90PEMrk4LHk+i6sxSBKC0IaY1x3Oqm6eTMLZM2THIl2JqY4ThH0hf5v2whWjEzsXWRBjHK2KHP/Rq51af4xRcNFkhiAIgmBB+M7eWIHnab5FEARhFqTzCoUMM4TjINc9+sC7Yu+5er3ibogIAgBcFh5UlB8qMlsEwkB4T61sGr/fx6Ysrde1GRQcaVfgAc6YYbVzDVsEQRBOgWYNBEEQBEHI4zZbAEI99SVbJM9bNcYMQdiN8jf/gu4Gl0kKN3txvnux2SKIMnDBZPjdg80WgxCBdVc9ZduDsmmq55yErgzK8vPaDBDN5XuP/uXMds7vijekHB9Hw3eCIAi9ocV+BEEQBBENIq7MHDoX1ArtmLEhHfd8bbYIhImY1YiJ+Yd0MkO9m0N+UwdC2I3B3q1mi0CIYEZ70t+3k0k+WiV3lRUwKd+ScIA/lYXZS56StOMMKYcgCIIgCIIwh5Vpp5gtAkHoAkfuJEMgw4wDIdfjBGFfrOwai7A3vJ/qlpWw80pczbIfdfVFRu5osW/dIQiCIAiCIORpSexktghEjLE9rj/bDEXcOVGMmVDIMGND5BQa5MrM2Zi2Y4YqFikTCVvDU/0lGGFno5IToC+ZIAiCIAiCIAiWGDXH42g3QQhkmCEIglCIEd1UCt9gQClELML7aQBkJbqgwmwRNHNS3DpN16XV7Tm6c8t5ddFQU5XfZ2RpBEEQBEEQhMHwCR3MFoGIMRrdGWwzFFnc7eWMictpF8gw40CGcHvMFsFUcrkys0XQFbPWKdP6aKCnq1T3MjJRrXsZRGxCO2YIVoxyaYtVM6J5DbZ99wJjaayEMd9Y751zDSmHIAiCIAiCMIfUgX8yWwQixqjtfZoh5VS6uxhSjl0gw4wDGeQqNlsEUxnj2m62CI6EXNcQhM2xSIyZJp5WyMQyA/e85YDt6+b2hzkOX4BCEARhe8gFNEEQ0ULtCGEwHBdnUEnW0EtYBTLMEITNMC/GjCnFEgTBCKvsmNmc/5bkeTICE3aEYpARBEEQBEEQBEG0Ihan2kXzphDIMEM4DlLq6QRZZgjC1vAW2aVgFTkIgiAIgiAIgiAIgoCBOj/SBwRDhhmCIAiCiAGqjuw1W4RWeNq6HMt0QQVSfM6LpZXIN5stAkEQBBEDbI/rb7YIBEEQBKEAYZOD/d1as4UMMzakKT7DbBEsDW2LIwiCiGTIlyebLQIAgHMZ5buWsCrH+veYLQJzbmyea1hZtDOYIAjC4uikdGrm3aiLz9Il71iC3I8SsYifp/EjIQfbOiK2AYejGDMhkGHGhrT0P9tsESxNHHxmi6ArZnWnYv4hCYIg1OBOSjNbBIJgThZfrpsijiCI2GBd0gSzRSAszOJj/4ldM342WwyCIGwKjVJjm9UTpeO86oHYYjKOPGiEQIYZG8LFuc0WweKQAYEgCIIgCIIgCPuQeuYzZotAWJj+J81EVk4e7ZokCIdSzHUP+d0h+xiTJCGcSJ+Rf5JPZFD3Qr1YKGSYsSEUODm24Tiz3j81FwRBMMBPfRjhRGiKQRBEdCQkpZotAsEK8jRAEESUdMzKBQBsm7EYK8a9oimPVRONc7VLOAFjdH7kyiwU0rQSBEEQBGEYPA3ECAdi5ApmWi1NEM6Eo2/bQbB/ly6X62jOtMCFIJyI2Pgus3tfHDv2z5ryzOiWJ5s/QeiFWDgEb2JHYwWxOGSYsSE8+eOTpAPXYLYIumLWYJwWfhEEQRCEMKQmIwiCIAK01DPPknOR6oYgnML6U76IOKa34YQMM4QcwQtEdrr66FYOH5esW952hHp3G8LJuDKr5WO7kn/to8CZBEEQBEHohblmGDICEYQy9vq7mC2COlykNLMS0bS1vfZ9ykwOQgfINTxhMj36jzGmII5UvoQ2mlxp0WdC9U8R9JQcSKxvb67jk8wWwZHQVJEgCBbIxUmj1VyE5SGFDkHYgh/9o80WQSXU/zmFTv4qs0WIoBLpZotAEITBiLmSImKToss3Y6t7sHgCqi+mQIYZGyKnDoh1wwwp9XSCGmmCIAiCEBlncTE//iIIgiBaNz75LThvKnNlmy2ChaD+mrAeeuixyDBDBJOa3gkN7k7KEjOoOlT7lEGGGTsis1KTKr+zIcUPQRC2hnYbEHZHoA7TohCCIKKFFGjOoGNyvEX7BCvKZBb0LAgrooNhJihPmoERsrjizJYgJiHDjC3xS561tuLeyrIRUlhzgkEQhN1ITFW4SocgLIuQYcbI0qk/Jggl2O1b4cgXu23p3Tk0xivNeI2jmXervygKI2gNn4LVKSdovp4gjISnfoUIQ0pfTAtEzIG+Uhsi55/fyljbaERIQY00QRAs6NprEPk5J2wOjWUIgiCIdtISQ40DvAXVLLzAXM6jxahhMcpvKFR/Eaftvpd0uwr1N2xBSwItMiLY08LFS57fFD9CdZ6kwiEikZjHcIx3zFAFVIT1RgxE1FjZ+GG3lWtEMPTuCIKIjgPoAgDY2ukUkyUhYokKdGCco8COGY4zzF5DYymCIAhrEd4qW3c2HooT+hO3W1qZLcQxJ15vaHkE0UaBexBWpZ4seK522pPMy6PFtYQqXMGu76juGAUZZmyI3OdBn4+zoQaSIAiCIMyDE9S4Ud9MEFbDbmNmUqDZF7sYYsLxxag6KDW9s6br9HzPTbyxBp/fp7xraHlEK1nX/4i+V74teK5Lr+OYl0f9CqGGYJeqbBb8U/1TQmz2xDZH3pWZlYeG+n+YVt4xRBAEEcu0Kcnspiwj7A7rcYHZMWYIgiCI2IVdL0DjMetA74KQc/sUvZ6L6hghU4+CDDPUJhkHGWbsCO+XPL2BP9YgQYiYglZbEARBEDYkiW9mnCOZRgiCYA+tbGZPKYyJBRL+5uzyJknxpg1fkrYdNwQRDQ0JWRquIpUvEUpTokQ94hjXF9H8aC4VDH2lDuSelmvNFoHQEbN2BMXKsN2oCRxBxCKBwLNRKp9KkM1AGiIaVnSYbrYIimnRGORXFNGdyzTJIAg7sajvXVidcoLZYhA6Yt68yR79ARlmVHJUydj7tNtNFoQBsl5YCKUs7naNpuv2crkhv+WM85l/fkx9IRY2+G+IOw4/ZVxgthiOYEPCmJDfi/rcGfL795T8wN9dz3gY65ImYNnwZ7EjLnRRP+diayKgBSfKIMOMA2kGYwUEQQCIFdPM3qkvmy0CQTgWJQoAmibag+bMIWaLoBj2iichV2ax0UcShJ2Q608Gn34r+lz1niGyOBU/b+22rwXa43YYfWcl6KowpTbJhPopGnNpIzm1A5YMfJBpnkYb8+jdsyPnhOs1XVfSYXTIbzkldkZmDtYmHa+qDI7j4OVb1b5743qpE1Bn0i6eD/fgs80WwxF44juE/B48/TZs+cvPgd+NOZMCf3fo1AU9r/kU/SdfgMpx/wy5jiMTgSnQU7cjMqsb7LJChyCsCBn1CcII6EOzPTZqLP2M65twbsY9DzICEYQykiHuxnDJ4EcNlEQp8t92+Aprs7HyrLMEXVEdZ5bLKfVPpnjcQ7rlLYaf1EFRQH0x0QqrXQGcDnWK4zhsOfULrEw/Fd6z3mKefzRkZGSYLQIRTsiOGW31cXG3q9pzoGZSEdQT2xB//RGzRSBM5K/uBSaVTK0qQRAEYT941sNdgVh/ZCwhCOtxXtxiweNb3EMxcNoVBkvDhpRZq5jltS5pAjy89h0lgLXbvl39rjOsrCl5mSG/tTyVxIxubIRRQQo8hpephraV/paEcSwGo7+lpPRM+USEQrTWhTAjqyI3UurqCQcOOf1GIe/yN5GVk6fqWsI+eDK0xRkPN5xwXFzgb61tEp9IBje1WLinI8TIL3pe8rx1h8fGsJbvb7YIupGKRoxzbTdbDIIgCE2wmnTW+ROZ5ENoJ71kkdkiKMaoFd28gMFGDxLRYkg5BGF3UjhhpbPXFZ0xwoosyb5U9TWN/c8lTwsMuHbCMbhsTI+o8+FccfKJGOOG19DyVo57TVX6/Zetx5Iul2HlhNd1ksg6GPkt1vCp6N53uGHlOR4Dd8yonku5LK4dVPjslo+ZLXn+o16PsJDGVizvcEbg776n3yGQgg/6S2E9YFGXueh33cQaZJhxILE+wP7ENxVb3EPNFkMXpFwy6A61qYKo9fMKAD6L++MmCL1gZZj5yT+KST6Edrp59pgtggpYuzITijFjHPE8GWYIIhqquk02WwRholCIcN2G45deQoqZdpZ0vRzLOp6DZSP/iw1/+h/6TboQm5PHaS7T6Sht108akA13XKhaZW/CANXluRQGXdY+14+sX4fRSWNe2sgbe4Z8oiBSMzIx8PzHkDf6dMl02+LEn/cOF7tdAnFdBrb/sPF0bkN3dgHXjdrVVIU0Q8oxFiMqkY0rahD9xp8leq6GT0VanwkGSmM+i3NmwpvVHu8zMSlF+gKR8UX43JzFAgF3RvtChabqg1HnFwuQYcaBOMUwc+noHvjbCX01XMmhy/XfMZfHCpj5bpt9zqhXrPG51K/cr0eyDpIQhPVx4eiOgijnCI087ZghlBM86ajlWbS/Qv2hMya+BOFkNp72NRb1/hv6n/pXs0URJKo4BRxkmyF3z3Hof+mL6D/xXOT2Gw3O5ULn816WVGrHIjc234Yrm+9U7QYz0d2afki3dDQMvUx1uZxS11gy8WZFLxOoII18Iq5tvl1TflbCff67hsRf6j/pwsDfHIzf4cQOdmrAlUOM2anAOl6gFeD8oYtuOR12t7CKf+N07m252mwRVJE3/U4m7hTD6weL+pKe027A9tWVRZ1fLECGGcKyDMtJxyWjo98W7izMM45UNpi4W8fC8Iz9CxOEk3ExcvXktvq2/BjAynEFwgkObswk3oxGpRgrnLIAhyD0xh+2QzknbwQGn3E73AnWNO674tw6lxDZbqdlZKFsyDU6l2svvvWPx2/+kSHHEuI4XCo2Lz3aJL932ShcPrYn7j91AOBS/y45Ddew4Cf/aLzjPUUyTfi3pBS9jCUV6BDyOyMzB3uPvVJ1PmuSpwAANscrc+vFBe9qsrPCm6Ho7rTO2JAwhl2Gotj4eYswuuankN9KXJl1bi5WVYZig69ZMPuOohsbX3r+/zGSwxgSEpNVGWZaXDI7atrg7Gxwti8W/0oJLTily5rWL0vTdT07JjGWxDqY+m7tPPjUFfXNaALFByBilFwcZpKPO47aI7PhbdQnBK+yZOFJkhMwMPbw748+Y4W44DOsLIKwMxO5t80WQTGLe8yC261v7JukjO665m8UZeioW95b/vKT4PGk+DicM6yb5LW9O6fglvw+6JgSD06DjpBT7MrMmHhmwbi03JANyL7gFSwZ+BDSL5yn/mL7DIN0J+WsFxSnXZKtTQHuxB0zCVxojCclbUAHf42qMmjHjDJcJhnGo0LOMBPUbLe4UxXl4WK9+NHkxWx2gQwzDqSOd4ZhQksnkhIfh7mXjJRPaFOakGC2CEQYefW/q74miSPDDEGI0YFrNFsEx9BALt+OEmSYYTCxH1//c8SxBAMDKHdFhWFlEYSd4ePTMKv5VrPFUERy38i4N0fQWfH1nIwvs0W9/44eA0XiyTDWm2jdXaGU/QnsYoYE4+M5dOk5UPCc1B3xgnHH1BtPlPr25zQquqqTekYcW+CboujaZR3F4zvYmZS0jhh40jVIzchUf7HVdyIYSHrHriG/Pby4kbnHqdKxsMRo5JSt+D+ILCzOvV5TGfZA3fcfK4YZJXfZwou3sakZ2eyEMQqFxnxAfP4TcZR2zJgC9SYOpNTgIH5SLB5wv6HlLbp1EjKS9V1tZiY1ELF0G4Dlt8EyYONpXytOuyL9NPw+5V1koVpHiQgnsyrtZPzSRbk/292uXliaeb6OEhlH9Mrx2JhkRMtwz+uqr9np6iN4fHHe3Vh30qeB3xzPY/P0hSiMO1Y0rz/cx6kuX4rFOdeF/N7t6qXoOi9nw1VwBEFEzVNnDTa8zCWZF2LbjMWqrwt3Y7Y4724UnzCbiUx74npj8Bl/Z5JXOHZyaymH3J2IqUP9jAxbLsVKtvYCl2RfiuUdpiu6qjk5UvH4mu/PrWVLKHuXj5mN3uc9rVA2eTafIR4LdscFq7A2aaK2jEUMVhx4LOqtR/23c92Xln3N1A9V5RXuHlLK5WpaRhbWn/I5Nk//VkUZQAsXjyVdrxA8VxDXblBtvPRH9DvzbqxKO1k0r0U5M1WVLQvDXQFi4/A21Nc6a9dTo+xGi3OuQ9FFyyOOb3EPwcY/fYmklHRF+dRbaNGbKv2cwgcdvGtLu3cEXuRvQgzna1oJVWxMGss0v0Eny3d6314/Hvee0i/qsv40wIZWbg3s8XeVT0RoIidvhKJ0O7g+OPbyN9B72DR9BSIcTfKUvyNrknK/7uk3LsOAi57TUSL74CRFkJ74XeoXKmTcuETw+KDTbkbn7u19NQce3fsOQ7/71orm1TCebUDh7pOuxq6gCWvxMedit+sY2et8tg7QSxCEVgZ1TcdtF51naJlcj3HI7N5X9XWdc/uH/M4ddy465gxgJZZuCClg7aqGYequS4OiVumOmboBFwT+zpx4NfpdNgfrE6Xn8NvihOtSW/8YJ7HDp+/oM1rjGQiwQ2JxBgDs7X5GxLFuvYeKpu+UnQt3/t0AgEZenaeITgOmBv4OX7jBJaapyksRjIeiq3MuZ5uhBGmDT5M832uosp1U4kjX/x79x6JbH7WLdzhwWcI72soy2+t/esdsuN3xSD/5n6I5uTIid49ZhUPH3QwAKHQJ9yMH4+XHvSHEyI4ZuTrHJ6ShY1ZkzKuqtDzk9BuluJR6jt1C6WbejWUdz9GegYxhhg/qh0TnzmH1gzPKREAuzkIgwwwRhrEN9++35yMrLRFnD4ve53HM9DmE6cSRf3+CAbzPGzJgIgjWJLCOxRPkd9ilxE2LQCyW6MoPHbYqCZIKAH7alk8QMUtmTl/s/79l2H3pOrNFCbD+pM9Cfm89+zekZbTG1tx50WpsPfsXdOgcOjfaFD8Cy0f9VzpjkcmQ7GKGKLoKuy+U+OPMH5UnFhuyCR5XP75zKVz93H/yxVg9aS52n/cDuvRsM7hIv4fSTsKKx6snHIN//akfcjO0rQJPueIbbPjT/0TPpw+R382zKvVkLBv5X2w9+zcAQE6/Udh8xnc4fMUaiasin2+33kOw+YzvsXrS20i48vuglPrUUaVjkDaWHvcEdl0svJhl/UmfYcDZkZ5Glgz+tybZ5Og5cAK7zATaHT2eOA8Xwt97wTmLsOOCVYLps8OM3brCUBHVf+L52PCn/yH5SuEdRY3x6rzjxIorM63wnLpFbCzbEz845F34XIhHAlWEzW9Wpv9JKrGyPEVizBRxPbDINyzi+NLhz+A534XiZZGuQxFkmCFCsHOznRBH1Vlf7Fw72BLHtxtmmiV8lRKEFH6fl8YqhK68eC5bV2LB/YASwwzP2DCjdXIZvGPGRR8dQcQcPY4dig6dupgtRoDwWC/Zue27DjIycwQViknnvIZ+x58rma9Y8yanSFKrYJYjuDylLiel0NNNd2JqB93yVguv0DDDuVzoO/IU9B06PnCsIbmbTObCi8punNQbZx3XHQku8b5RysVaYnIqcvuNlpBVeJ60Ir19x4ZvwJ/Rf+K5Id9Bt95DkZquPMZS+3VD0GfEyUhMbt8ho5dhRun7amNA/qXo0FnY80WPgePgEnhWrnjz3JhHQ4krh3meh4bOirDHZeXkoVN2LjqMalUM7wpzA7YmOdqdP8pISWfXRnEuF3L7jUZisvC754LG1kr0ENY3zEQv34Z+t8nbxkQ6SN7V7ka0mZd3feyXkbeI64F1ia1tc7VMGAI/XIhzuzUbSrsObXXXV4YMAEBLkhYPQuH3w4n+vYXvHXF1Ro8haHGH70hsf9Yd++drkCn2IE02EYLdVj11TI7H307oi2M6JeOGSb3NFscQzHpDlu/TDWRPt9MDf+92S2/h18qm+BG65EtYh9TO3eDV4Jh8Y4Ly7dbWhWLM6M1OVx8Mz83QdO0uV2/B48GTu93pYwTTBLs1ScvugwaGvpiTUkIVaEIBl4U40qF9hVdhcuRqL4IgCFZwrHcKWhy5Vjj+CuF4ItvOXaq5TE7Jjk0J6vmk9rwYTHDi3ZF5aFkDEI0ovhRpV9dy9VLomRb930bsu3JrSMwBtQgZGwAg7//mYO2Jn2DluFdx7PgoXPkooFW/wX7cyNqgKUiYQU1ofrjrEpN3AwpUXI8rSSBhdPSfcjHEWpycvBEovHAVUq75KeR4Q6bYmE/bIp1lHc8WPO52x6Po8s0ounyTpny10oJ2Q4KYO0Oxerp64lu6yGQGg06NNNopJsgwE6wL/Y4/HgCwyDcMe7ncoDTt7eGqtJMDRpg2POd+hJwrP8KO85ejMFl6zh6t7rVTdi52XbwWTdf8LptW3JVZmDcCkY6oyZUi6LqU4+Iijgd7BOmQ2f7sKqAsjk8sQoYZm1PEON6I2IBwTfJkFJ4lvdV7SRfj/KK28cHlo3DJ6B5YcPVYdEm3TiAuJ/CzO9S6rdfgc1GfO7Ek+1Jd8hZjecafo7p+8Dn3Bf6uSBOOj1SCrqL+nFeMe0W2jA4XvqN6W+vSIY+h4JxFqq4JZvGAB0Imq7HM0uOewKJef1Wc/lP/CarL6NTlGEHF8qqJcyOOFZ6/IvB3xkVvqy7LKFanSsddkjsfzmZ/b8HjvMPtMpviR0RlgNvPdUPSVd/LJxTjwgWCh4ODTCZNvCXw9x9nfo96PhHLhj+LlCu+QTHXHUuyL0WXngOw/WQ1AWRDWT6mPfD1fq5byArYVngoUbZwfU8M/N008HzN8siWY9vICgRBGIVfpw6M51yiE7kyVxazcpSM2YPbwjh3PHwC7XRmt94Rx8RiKoS3rVyUOx93JA1DCx+Hna4+SMto30lVw6eIXsNx4i18z45C8VfUG4/SO4rP6+UCgstZgji/D1KaS84fKu/iY+9BakYmkhXuKFo8ININFwBk9RB2J8W5XDhm0PHIG3umJsNPwchHAACLcm+QTavbwlMRlz8sCZ8ncKc8FpHG7N2AuYMmCx5f3iEyvlC0SNXyjlm5cCeE6oO6HS/cXmlvQsTfeWp6J9W7vFalnqRegiAj6x9poTuCBJ952Pe1hzsGTXw8cgZOVFxmLS8cY8pOiLXgmUHxXoNTpA+fAS/vAtfvNPTiS4LStNeB5sRMeOPan005MpCRmYs4t7t1ni9jbZfbfSPG4p43Bf7u0LkrEpNSjt7LdQCANUmTWmUNqiuKd/iFpVuUewNa+DhUj787ImkV0gRj6gUbZri4duO8n8wPotCTsTml0LYaVhzhxqHX1fPRMbuH5JUDz/+P4PHCoNWzfTqLD3jVctqgLshOiz1jjFGKn6ruoYYZvUodPP02DLzgCZ1yj2Rxt2vQ7//kDSNShK7+Em5Gi8f/G5k3/BxxvJ5PQly8/OAmNSNT9bbWASdchqycPFXXtLHJ3weDTr4O25NHaLreaQzIvxSdBkv5aQ2lLE04GKUcQhODviNPQelN+0OOdezSHqRSi2sHo+CHSxvom9LUBaw8zOvnvsTK+Kc9hJzrvtR8feKsNYFBuhY6dO6KQ4hU5AWvoopzt/tk7tZ7CBpu3oX+ky9AYnIqkmb9HmjXw132SLHdHzrOSO/aPn7Yfey1kReQWzKCICyG0p18alG0m0Kk6GXxk6QvU+GSKXzM3oTIuVi4IlyJ6Puv3i4aUyH8xhTPhZprBQ+3xKXg8LUFSLvuV8S521dL+wWeQ5yLQ0p8HJ74y6CId3vluJ6Yfd5xiFfoTnvZiGdFzy0Z/O8QWYJZOuQxpF33q0zucs9ELj5muwJv/9XbMOjUmyTSRjLo5JmBvxd3vwZ7r/gDB67bifiEJCzr+BdVeSmh/8Rzsf/qbRh89r9k0/LgdHLnpK8qLdxQuNt1DLr1OQ5b/vyTyBXGsij5FOy/ZgeSUoRWwXPod9lrKLp8M5aNlImNpSOduhyD5RlC9S/6nY0sjBWeXOXGkXbav/WWpPZ5EsfzOPbSV7D/6m0hqePCdq0lz1yM8uu2Cix2EqfozC80yKkMMxc1rf3LkhDXocGGgz7jz8HBq7dg0Om3hlwT3k8Ey9983bqQdjx8EcFrne7EwatWB37zAm2I2K6sYLqMu1jweHbusdh/9TYcc1XkojgxA3V42xj8mweHwWf/C4eu/gN9R54SOP6e9yQcvH4PGq7bcNQYKr54Ilhv5vB1lVFBhhkiFKlBi0o/qgGCPsyMZHm/jUpJclP11RXHKrzYupgQW/jIuYTrOg9O9JyZBAYVjn3v6lE1idPaPsYYal28xDH+Xu2CIe4xNKC3n+oIZV7wdyUYXJZXvRKWpzaOIAgd6T3mLMnzRrVAB6/bhcU+1nHGItnQPTzorzyLu18TcSwxORVxccLjYwFHYRFH1idGLgLoXvw1PCc9hUqkY1Hvv4eWl5QiaggJ5sKROfj1lokY1aNjxLmbpvTBuF4iC0gE+hqp8T8XlwAAWJt0PHa7QhexcPGJsrL2Oe0OyfOc3yc5xg8en6lR2AaztPP5OILOyJ12E1LSOiI+oW0Xvj7xOJXKucPNJgj8iu7/p/natSd+oijdynGvBv7mOS6kPWnhWp9nfBQLb1iyu9Ylugio8aSnALTuIulyrPgCnWUjnkUNn4oVY19WVGafCdJxtoTIOvVeRenWJSlZENn+De1KHILdrmOwNkmLcaWVPpMuUX1NU1L7Dil/Ymj7w7lcEd9F+I60OLcbCYmtRqUVGWfgILLxx5nfowwZWJIlrPAXc0nIgvjmSib5yIaYEUgRn5QaliaUNqNjcJyz3b0uCvzd9aS/I+Xk+1CBDlicMzNix1Zkgckh72fLmCcjkvjd0ga/griB6NxFfKFjYnJa0DtXP+IQmuu1PYe2M41IhNsdH9TGS+Snsu4s6nOnqvROwXraQUIVrFUkek8W/vWn/jhv7homecVKTJlwermOGFNQuALVmnpCCyBmmRE+zgNwiUw8zcR19OuP1m93rKI2AGjQlUzlMBvZVU9t7YpCBX8SWqKUyJ7IbX03RAbBo2IBIQ3gqEKpyesPLCvSZGTxy60aJgiC0I5YwGa96ZAzCKU1pYHfoQoi5e31YXRGV1QoLzg9B4fP2Yuur/QKKi3IjQm4wBgTAI7cuA+DRFxXuYKMD0uyLsKUsvkABIz2Am1/7tWfAq+EKqt8nBs5/UahJW8LBrtcwOzWHSv+o0aQcDxIjFi12jE5Hq6jfXKwty85LxDCRhipPqu1jJ5XfdT68xV1O4yFdy0ElSyzKMzvipc8r4QBFz8H3u9Hh7D363eb4yb5W99YnB73O4pdPZAZZV4F5/yG44ePRFmZ8C4sKZYOeQwDBh0veO7wjXtDlN55Y88Eji6o58GFtCctXOs3He0Ck3qGsf+EaOATkdtvdPsBCVd1/SddgKbjz8OxLhfw+yzZvLUYDTtl50YcE2oRE07+N/D1KQJnhK/0c3FIu34ptJkxW5H7buXg49vbIS1z+H6XvYbMzqmIr6iH/8bNGOhyAbMFdluYvKhJiQtQ2RQCc3VX2HyriUtCKjxH82s/dzC+F7JbWg1IruTOOHLjPgBAp6N123vjHyL9Gi/xC+jSP9JoyceFtpeLu1+LtMo/MKppJQAgc+YP2uJ+KdZVyD/r8D55Gr867Hzwjhnlsm5MGInB028DZj+l+BqnQEt8bU6jW9iV2QrfYE35Nbgk/MhKKIrWS6wwOJjT6g6omOuOXp1TkBKv3eKendY+kM5MFR5UC9HmZ9FKLPJZOwBxXMeeIb87duhojiCMSeglPDCWY0X6acInek8VPJzRvTX2zFZ36Lfo51zo0FXGT7QJtH3dIz3ywePCKQHbWFeWQZVy3IUC9yDFqdXED1nWUVlQ1D/i9V8ZK4fsuP2oYSaul7I2OSVRfOeZk9F7Z4oSdnY5PfB3uYDbVE6HXWLh1Sd44tGx6OuI9Cm9xmJ/7wsAtPo5VlYIGWYIgpCniOspn0ghu4Lig7T1XxsSxzDL/7cB/0b3vsM0L/XgojS6h6+m9kqs/ZRSKIXkEzSg2JkeGlxZMACxQL5H+swIObe4zx0o4nqi82kPhqRbNuJZ7ONyUHLSaxF5XDyqXanrD5LJHSf9nPqMPgNb3YOxrNOMwDEluk3O5Yq8Fy761erdpj8geb7TaQ+iiOspuVo5OAbiPi4Hqye9HZFG6D3k/OlO7Hb1wuIe6tyjRUubQbD1m4tuXOUSGPNwChfa9Tn+PPF8JVaTt8WfWDLwIezlcsGf+rSi8uRYm3sFk3x6dRQ28HjDdkjJ1XtNSmaT8GWFzvUEv1fdaX+gfaa1uxB0aRzftskvdR+8So8HqpCpIMVcd6yZ8o58NnKGqaPt6PL49h1O2Z1DTbbbRz0seKnr1FBDQfh7V1oHpDwiLMq9AbtdvdDzlNuk81BT34KerdK5s5Y5aH8UhRUbbJiRbycXD7gfe7lcuE+LPYNMG/ZpBQlBuMEzBI9f1/J3weNyVMVnS5UmesY3RnyFQ78z7sKykf9F88XfAFDmezktUXiQsvD6CXj1gmH45Cr5ycyOC1ahDBlYM/VDdL34DSwb8WyIL9DiqwqwIv00LBnzqkQurfxxhpjPY2Hmek+Vls2fi1kt0o2uHP/r/jdF6ZZkXoh9V24VPPdjuvh24MSO3UN+Z3ayblwLNeSNmQ4A+H3Ku1iVerLi6/pc8iqWdTwnYhLST2Sw3RbUNOWS+SHHfXChY1Yu1kz9MCRg5X6um2JZhDgoEA9CDdH4d907Wt6/s94szvsHdlywSvR8gVuLsVr5wITnXEi+5CMsG/mcovQ1fY/6Ow577C18e9u3auJcLMm6CH0vjPRJvuuSdRE+u9Mu/kDSf7lZLO0c9I0cnTQcO+4srBj7MrbNWCx5bW2HAVjc794QpVYr5hsu9EQvw8zi3rdjSeYFoueLufZ2P++sB7Bs+LNYMuhhVF70Y5tgusglRlx8+6S/ozdyt2jvYdPQ/6TrsWzEsyi/eBGWj3pBOKNguXVa9LcoSz4gNkEQ9iF11gpmeXW4cUnEsdr0fszy7z5cLiaenGa0/c9mTvnCt+CLRVc0a1VauoJjv4QrdpQ15FxCqMF+0PS/InXWCnQKcwPTf9IFSJ61OiK2o9vFISloQeGx2e27F4INNkK4ExKRff0P6H9Je7/kig99tosHSBtLAvcRpeJ3feK4owHixZ9b5669kDprRetqZRHaYiCW3rQfybNWo88IZfOoDp26IP3GZRh01j1qRQ+hbYzs5ZU9jzZFZFJCPFwJ7N1/KR2rtbmNUktb/ImBJ12DlFmr0K33EE35hOPq2JtJPu5E4d2BFS7r6wy4+Mj64HJLG0DXJE8J2XXQEi+92yV4TtdGs8AxtXBBn3Fyavuiaq9LbdutHD29fcjtxkma9Tv6DD9RPh+5HfFHv9fkM9vnyuFfcHp34ZixXXu1G+RcIvVepNCInyEuO4OM7oPP/hfSb1yGtIwsLMlud5vIx6egOV5i8bwErqB4oPG+etk0rTK1y6y0XH/YfQbHIQ3eMeMTcWs56OSZSJm1Cl16aovZ6wTIMGNjavgUcHHCKxXqkIImXv2WZE5jleDixTsCtzse/Seee3RACKQkCDfsn18zFheOzMG9p/TD1zPHC6YBgNE9O6K3zPZxoHXbKn/TFvQaOgVJKenoP+kCeIImG0kp6Tj28jeQ3k1+YtStj7qV6A95pVeivOg9B/XQNkhr236cOkDZYPjY8x4P6bSD6THjSSzJVqZMinM5SxHae9g0dD7zUcXp49xu9L/0xYhJCOdyYQ8n7m4gPFB721PsNXQKEnLad015uOi2+Ve5pYyq8kRjmHHFRe/+IFoGnXYLOmXniq5ALes8Bot7qTOGqt0RkJreGf0nnq8wc+GBSRXX/q32HXkKBl74NNzhAya0TnL7Xxrqjzk1vRP6T7pAlZFO6fevFKE5avCW7Db3I5zLhWPH/QWZ3fvK5jnoTzdify/x1Yb1vDkuMvRFn/Z20Bl/w8CLxI13we1IfEIS+k++AANPvBoZmTmtUgW9YH2MR6F5uoPGFmJtlDshEf0nXYAOnbui3/HCi1WMwBefRjG6CMKmBCtBtPKH+zgsHfoYA2naUdrOtik+iioaQo4r3l0a1HQdTjoWq1JPxJKsi0KSbHUPxsrxcwAAa6ZGurphxZKsi7E6dRq4rkMFBdzqHhzRH7SNZTaeFrmzkiUujsPyv07G/CtG48whyneLL+52DdYmTUSfkaeHnQly+SbxrpXuzAjHDxe2uIci+Qw2Oy3MZtO097HVPRgbp32gKH366IuxxT0UU04+F32PPy/gxWDxgPvVF85wyNNWX5cOf0YynZLvd+ng/wBojdukNNYJD2EF9uK+d7V+5+Mid46Fszl+GHqe/o+QYyvHz8FW92DUnDZHkRwR5fe+XdN1WsibeD7WJY7H4tzrsbTTuViZfiqyc/tH9AXLM9oXwXU484mQc52mS+sRhN7fhkmvRyF1e85CeIa3x+5SO+eVIzu3HxZ3vYppnm1wrIbOMrt62ub1ud1ysDLtT1ja+fwIo3fw3D98MfninOuwPnEc+o6VjiMXJlTEkYzMrlie8Wcsz/hzQD8aTs/T7wr8nXfyLGRO/3frGOPo966U7Nz2+FqpLcKxfHr0H4d1icG6Vw5Lhz6GP9zHodP08PLEXlZoXe/W+zisSj0RSzNbn/HSzPOxKu1kHImXXtDAilWp8oY8q2G9QAeEYlzgBXefDO2ejpP7Z4NfqX4EIem+UeKcmkDFz5w9BA99tx23TQ1VyPXomIw7TjxW9Lp+2eb4bNZC1/RESIVGiGZs19bJK9b/+ClmiBisFIs8B22rsIOVnCbHGommfL+3maEk0cFLGJfVur9SVT9U1yU+6P/ZIvUMIhP/f3v3HR9Vlf+P/zWTSSa9V1JIb6QSOolAEESaSFHpYMOPuODvK6tixYUVy37UXdSPKIIK7rKWtWAvuxJCCdmERFoIvUOC0iEhyZzfH0Mmc6dlJpm5k5DX8/GAR2bunTt3zpx75557znm/HX9+kMQ1t/n9rnfkWHid4SidG4GzQpkpZagPtlDpJZVUiUb7bNRBnSfOPocTUdu5xPQFate0axthc761e2BXb98glKv7QokmdAuMMLnONnVvRAZo3/n0hTrJskEuvwIAIjXHLb6PfntSKJSIn/WB9sEbLbO+Q+b8gOau++4ZBcD66w9M/F6dVoYgRpzQLrbxNzr1Tm0okz1FH+qe078GOBM3Hu7Hi4HGlmgAcWO1M0+6JeRItmXre1vD1UWJhGDb2qRpE57T/b1DlYmMxu3GK1kIV+bq4W/V+1wUHvBRXNU9PhIyBKF3tIQAEh7tm13vbDE98oEeP1i9fvLAO4CBLbOEQ+b8gFoA1gce1mNisJbKvW2j2FPveBG1eBEpraxXq4owOdRKf9BKTJ9xAIC08dfr2BtRre+AmXsDMfnT4OUzD9YM9Qu//xuj5xJ6jQSuR6bQ52JigJkpaaP+P+CNls6qJqGAi4W79ls9B6OtwcFVKldE3/up0fOpd7wAvKH9LTiFYKgyJwLFXwIAAkJjUOPZkgTeVO4afabanaHxeSbWtJXpMnFRt8wQ9E4sAA7/1Q7vpaVQKpE2cTG2lPZFv60PtP4CG7QagsxK6rozFpcrPbWDZRVKJRJmrjS5jsrC7La0262b4WiZtk4kT/8/i80RL59A1M49BgBQ43pupTZcY0g6nsy0LRVKJYInrwLe03ZcK5UuSBk0HRg03ex2DXfdKA+cUu86AkDKXdqIIqffvlXyKkepC8nBxuQxGLjNughDHQFnzHRiCmhMxkpfNSUXU3tFwUPRlpulbeyZseHCt0e4Dz6a1QsD46yb5vrj//THgiEJ+GBqrtXvYY6Z01G7t2vI0owfAJijWid5nB9v/ZTflhNf+09mQgi4XDvf7u10Vva6+emtuWT1uvrfmnSGWvu+z/bm3FC2q2OmrvWVZCLMznIRUNTbmLDThiJ1F/YpAw87bEfjgNwf7aIXP9tSB4tJorkDS/o6/a/Gpo4ossimxKEO6DsyPI+pXPU6ZqDtmPFTmJ6Kb/17tD/HTJOJUSzsmCHqvBL6jMVm35HYEDIN//XIR2nBaqteVxRxr83vpRtMYMVvtUKpRPS9nyLy3s/NhrOKuvcz3bKMCNOhdbIafrV6//TPwxtCtTdmSvM/MLe6Saf6L7FpfdNMD15KGjwbgWNfMvuqjdl6s0I7QL42Q6qxb2jrmGGZWohMEJNuXV6+b2Metbg8fvh8bPUcbNW2SMpUJ1/3jJuw0d+W0fPWKS1Yjf965ANjTIdb9w2MwIbQ6SgKm202KoY9FCU8DkA7o1A/1K2tzM0KaE1HzCeZ2G8CNvuMQFFi62H5BIAaGNzjMXGclw3WdoDr56OyvOHWrzejkvtgo//tWB/zB+u2aaW4vFuxyXeUXbdprwFT6vpayWP93K+bfUYgcYD5UM7NgsJjsSFkKooi7oWr240VkcHqo6kNh53+IEk5Z76ZpVQhqf94bPUfiaLEx529N1bh3YxObJvHAATG2y9xJADJDTTjZdLRDttd9ZLXm7jwbW/Oi2b+nq64s2ckVC7tr647w7RJtH91zdE95xcQjHohnTx2RunYEUU9lIcljw/8dsVonWAv0+HhaoQ/GoQLuoWFWRWGSKnSfrbNbsbTm71UGgw4b3raf1S48QVYZ5wWqK/cXRo7Wu3RcjFb7aKdreUXnmDzdg2TnB5WSEfQ7HFpmUa6I0wvr49eI/tYfOvfZXlIywXbVWHfOLJnhHFyb2upDv7c5tdaGyfaWlfT7pQ8roV2ZJM6cQgSTlkX4uKI4nrYJiuS1TXLvFZh9boA4BOj7Wg2vBT11hvp2Fb7u40DAFS5WB6Ld0F4mr0xtMWntXj1pvlHGce/9kgcovvbJdly/i1DLolDAQC+SYMkz3ePjtX9vT3Qtm02syXHlLUq3Ozzm9zYUG+X7ehrrteW1MaMtrjcRS9soXdA+/JiWcPVrSVcq7fQdshcE5aPy9ZulKqObmz3fhVHzWn3Noio41AqXZA4/W2k3vECut+9FrFZQ1p/EQCPJNuvizXXm9/Cx/4hPYJCzJznW+mgkAya0Fs3ddJS1M49hlgr4vvvVWmvoy8Ld3gEtv570yr9vDfe0bq/VW5qXXjNZi567dfk/Jabb66+7Qvz6whBEfHaOpZdCFfvlvHPbt6m97Uo9hHrc8yESq/BrqilN8TVHl6Im92+mWE3MkvXvgoTN9QVSiWSp74hee7bpt7t3o/YrCHofvdaBHcz3yZNnbQUaRMXt2n7Kl/THSUuBqGp00Y8hNq5x5B6xwtwf7AURWGz2vR+baVSWB4sVO9tPpS4PZxUx8PNK0DynItKhcQZK5B2y1yzr2u+Tj3omohjamnIfE2T8eCgmB75qJ17TJKPyjLTHRluXv66v7V1cxnSxzxmct22UipdkDR9OfYrY+22TdFknxnxrt7S+3c1ES3tvMQZK+Cisq5dn3rHi0gbv8gu+2TI39t5EYBUPuZ/D6WDlS2E1TRT9466tUQ9ShtlfpaKXJ2tygtHoFS6oM/D/0D6iIdkec/2YsdMJ3Y5+z6ERCajrPBj7BiyGoe9cnB4eqXJddfHPoLizBfxr3DL07kEFNiY+6rp0TQGnTZ+U1umt5s6xOqm/dTaR5Bd0rhnUdJ/BQKmtcRG9vYNRNXwT7B97M8oSnwCpfkf4MLkn7Gp95uoUPdC9dgvjbazfeS3ur+3qfugOKglr8SWftLYoReEl27EiTmh3m54+paWm/cr7srGgLgAo/VSQr1xbcJabL/5nwgNiUDyxOe18S6HfY7to39AacFqbB2wEjvHam+Ub+79JpTXv7foGatR6j4QW3yGozjzJVQM/wKeHuZz9YSHR+Gc0P54vOH5IAAgbMJfjeJnH5rRMh3fVFLpo7N3o8RrKCrdelosg313bUVRxD0499AebAibifWRbZ8mu23Y59g5tqX+7XFJxpZ+7yB0ynuS9dQeLT+Ov+Vojw2/oG5GIyX33bXV4vs16iUl3TpgJeomfCRZfr7fE7q/k8bpTYPVm0qeOux/dH8XhbfEcN059mdsCJ6MLX3fRuTEV7E38zGURd+DrXHmLwibGXYQGaoa+Qn23VWC0pv+jqDJq0yus19jfoTU1vwPsPfOEnjWnbb4Pr/e+g025v4VJf1XYOvA9yTLDk3egp1jrDtXlLv3s5i4HACS+k2QPD436RuUDFiF2Oyb4ScuWHxtcY+lKM5YCs1U7fGtMsid1Txy1BQXK8Ms7Rj9I0oL1iAy0fQMQFtzgx2aVontrlmSMkwZ/ThK+q+A5/TPUFqwGiVehSiKuBe7VOkoSnkWeyZuRFH4bFy4t8IotNixu/dgS793EH3nGzgHbxgydVxuG/YZytwHoGzwWpPT+mOzBmNj7qsozliK+DzjEAd77yhBcdAkbPS/Hcfu3iNZlthHG9s5KrkXiqLn4pgiHJvyliFv2AzdOj797sHWAStxcFqF5LVFcY+gONP8qNroKW9hQ+oilAxYhfXRD2FD6AxszG192n9p/gdG77XFcyjKh36CwCkf6GLwt4cts/n+05RtcXn1pE3YEDoDilnmO1C/b+qFrQNWItVCQxPQNki3j/oeFbesg6e3v9X7WDW+yOi5ooTHUBR+D9bHP4q1LmMAaJuah2ZsR6VbT/x669e63y8AcLk+0+U/ij4AgM+aTI8gThhluRHqfu133d/mzic/NuXh+0FfY+vA91AUNsto/9PGPoGi7vOxbdhnes+ajmn5X498i/tDRJ1TceZL6N4jH0Vhs7EhzfobpM0dM0lD56A4cBI2573RyiuMNd8UM5y9lzRgIjYGjMeGdOn+aFpp8ktCmbXx9oC47V1s8huLM5O/bX1lG8Xf+kdsDBgvaWNtylsGACj1vAkqN2nO1eIeS7EhdDricto2yEQuCX3G4BSCcVgRie4ZN0mWber1BooDJyJRr33QKoNIGidDretgJK3AEYsszAaw7rqsea0dmlh77FK7bPIbq8tJsTHrZRRnvogNIdOQkNfyGfVzSbl7Wk5m76j8h9bQbxtvHbASG/1vR+yo1mettMW2YZ9hk99YeI9bhsjEXBR1uw9FyU9b/frdt36OTX5joRy3wuhGtrBDiHnD6ANFKc+gqNt9RqEc26p86CfY6D+29RWv08/DY8plobY4c0dpMDOlrTNyYrNvxia/MS1PdLC8jxsDxiN/0JjWV7Qz7XE/FYm9zb+3RtPy22FN6EHDDhbPcW9ik99YbBv2eZv3057cr5x09i7YjDlmOqFa4YcQxXmI6zcsYtL6axekm7/4Sr/ec3l11w7g1KvmN65QapNXD5jUaoxSydRZg5tIu1VpCPbreHFsVSpXxPccYfR8t2TtKOfw6JYR5j59xkLRdyyCg31w5ow0BFJ4XKbu78spE5FSMAV442MAgIur9MelQaFCQOpgYP8L0vf0c8eJ89qwRXnR/hiaHIzF31cDALIj/RAf5IX4IC/cnKLt3T5y9grSw33g5aYCro+gUSpdDOJdpuv+qp17DPoZe9RqNWLv+ae5ojGpUpOAQS6/QuOijbfp5ROAlEHTsWPP35HRsF33XDMRmAT8Jt2Gu6cP4me9j13f/BU4WC5ZptFrUPoFdYP/hOfgH+yDtEl/1v6WvmF6CndropKlo9YbFa5IyDNMuCnlohdTNDZrCI4Ud9PFxzYcmWdJXK5xI1B/5oV+Inf98EyS0XDeLZ0hodEpCL0ebxsA/G/6A/wB7P7mtVb3pbVRCal9huHMmYvwCzLfgXMR5mOtxl0fQVlvIqSivoj4LETE682w0xuw7hfUDbCyfMWARxAXmwms/MjsOoajCv1Do+Efqh1p2dqNiZTB0o4XjcEIHmVkLxyu/Te6C8ux2pudRhDCDA6IsO5p0I9uLQwuGm0dSeLlFwQvgzjPLiqV7jwXmzUE0Bv52zxWJnCC6ZtIag8v3bFicl/UxiET1F4BCLnH/HcCQPu7YoZ/SCT872r5XTqFIIQbnkgApI1dCGAhkgA0NrYk8VIoXYyOu8qbliM9a5T2PLLdOLTHZeEOVzd3pA69Prsid1jLwm3mE2au7zYH6SZGDtdFDURCqnZGXkKvkUCJ2U1YRZgYUWdOQyuXcgGhMQiYZDlZ5AXhiZ4mzl2mhMcaz4pqTVBEvNFzLj5hSB6hbajt+eJD4Jg2xKeXTwC87jMeEOGm0JZJ83F8Vpi+geBmIT40IG3QarzCjH6zACBn3hd6D4xnVimUSqSN/qP2wY8W3w5X/FOAq8WWVyKiTqVRKJFy0xQAsHnUevM5TOWmRspkC20yS+78FOtL/ono/pOhfyZUKl1MjrputbNFcili483X623AoIh4BE9/E8HBPti7u6plsYUQXZZ4BLbMklF7eBl9rqR+t6O23+2INfFaw+u5jkqhVMJlbgVMDZNL6nsb0Ne2MFlh56UDNF1ceKvHFgGhMQiYvtz0PRALoQc3+Y3BgPPSMOUHRTgycMjOe2ibpGlvAgBqh8xAspl1lNH9gTNrzSw1IEOo5L3KeCRpDmC/SzyuKryQ0bgdxxGGNL12S1zucMDKa9a2iEruDSS3zHyyNbdIt4QcIEFb9qf904DTLQM8XVztG/ECANJuvt+u24tO7Qek9gPeML4WbyYJLzntTZPr/gY/BOE8qt2ztDN33lgmWX4cYXAD4BHQch9iQ8gUpN7xEireuQ0518p0kS8s2aVKRwi059PwUc8Bf9cei0q/SOBYqy+XTfKUvzklumbKTVMBWI7Moj9bTu1pe3jEgJBIBFw/33QEdZ52mLUrM86Y6ZSux9w3EeO8NTbFj7dJF65KhjfQDG60anMBGffYfzyrpfMg3EcNLzcVvv+ffvj3XG3IMR93Fab2ikKYjxphPmr0jgnQdsp0AAqzIxAsTH10Me59lytptzWj/wxvQru00tmgr/XcAmaWmytHu/1qt387LlacM1xgp6TcrVAoFFBYCrfYiiYbGxQajeHnslAWJoq6LfW7IyWyd944IyvKQG/EmcJCwlxzrilsm5nUGvPnxLYxrnvmWXOMdkgmvjdrOiab12lrTheFXo4Zhcb683zr2+1YI/OIqP0qhn/R+kqtMJzVYo/fed/AMKTfOg8+/pZDdTWHHqq/6Rmrty3scA0aEBKJopRnUJz5omTmoy1iehSgKPaRNs0ospfOdlZXahokj13NFL1kVDkZKc3/AOsjH5CERlVaOC4ixy1FUfg9+PXWr3XXAq0NBnMUUznwLEnqdzvWRz+Ekv6mk6FLtOPcsEuV3vpKADTjV2ND+Cz43v0vqCesQFHYLFwc/3Gb39fZ4kc9IXmsP6C1o7sgzEdWMTw7buoljbRQWrAGp8b+C0Vhs+E7XjvQtqT/CgBApVsuNoTOwIXbtYP6IpPysNFvLPa4JCFujPa3ymfCWygKm43acZ+a3YMDyhgUhc2CanxL1A/9gQBh6YOxvvvD2NKnbQN9uxK1hxc2pP8ZG9L+BG8Lg+s7zl0Ky4SfY8McOkLHuMtLNtEdEG34cWztFd5NbUwE38bRUDcC0coNNCWE0ah4AHBTKfH6xExsPXwOozO0sfoDPe0/isIeDKua2Q4+C3VSoTL+bHJdtFrTyDQMHaS0Q4Jo3fubu2mrMdcxY3tHkqNidqqs6ZgRDa2uYw8Kpcoo/rEtXITGpisKTaNBHTD3fZlhXYegoY50LrV2X+TvGNAI/Y4Z28vMMC+U1cy9lw0dudYwnK1lSWftmNEvSts6ttp3jEjey4YOsFa3CwGT+9bZ7uwRkU5kUh7wQ8vjTTetRZ/1U3AZrScF3q+MQ4LmILZ5DkR3vec1Mow6b5Y2cQlOXnsaMQahvozpnahs/k01vb41o7iPKiIQLcyHHLEUq56MGbYF/EJM35zyGfgg8M06k8sI2pxK2YXYtc58OFx9nt7+SJvwHACguTafdXFOfqP/eg9B38v/xiFFFKzJZqFQKpE+1rrk2KqIzJYPaKOmW14BvjaOWmIoMKw7giYuQXCwDxTqi/CfuKRtb2ig+XwsN7WHF7b43IJ+F7/HMUU4WjsTW6MhNAe4+J0dtmSZr8I4B3Kz4wH9EP/bEV3nTVLf27DP0x+9irQzM2KzBgMAQqNbZjrF9xyB2p7H0A2A4XyGZIPZFr6BEfBtZTbqedcwpBnVD/1zoED66AUWt0EtUofMtGHtjnG/otTzJig1jcir2yR53j3Mcp7djqgLT3PovE6LADQIF8REWdcTuF8Zp/s7Krwb6oUrrgjTPwvRl7ebfL5Z8wib4gBpHoeAMG2Ykt0uqQCA2gTzYWtuNIGJ/aWPo7VhisrctTNffo2cCr9Q099V3+4B+MNNcVA5sWPrkMJ8yLqr7trkgEkJ0sR1Z65/v4bJxQOS8rFN3Uf3uNy9n+7vwGTjOPtbwqdZ3DfDvDS7VOkoDpxotJ7+Z9BfXu2iDeZ2LtH4NYYCo6UjeapjJgOA5POYc6D7XSb3t1lQdJrJ5wPjckw+H5DUek6CwPShksdn01t+TPcqtaHujkQZx3xtzpNSHGj6GNWP4QsAlUGWk4EDQE2G+fjX+uefZlu8tWGjNoS0TKs9oOxutB6gTVh+WaihEQr4hsRAqReqbLNP6xf4+rbFzG59JT2+wdIQb0EJvXAodorJdfWP4BPQHjf7Ux+06f0AoCxe3gR17mnGOV+abY/Uflb949gUnwBpHqKjipbHbUkOuSdG+76Wjj39/D8+JkLhheuFIDBlV7TlKd3W0M8dYs0xa4vASOsvKJUGHTONovVLu+b8Yc3kSsaoLzAuz+g5S30Y6+ONQ9KZo39uAYCguJZz86XMlvOAd5r1oTCat9l8/mp2VWjroleq6W25JxRY/R7WKjHYByJyvAvCE0mZ+SjJ/Qt2D1jW6vqaSWtRFLcAwZOkN5zknhlrmH/FJEnOAvn2jzMN7a2lPDdmvYywmFSTa4XHZaI48yWU5n8g1451TnqzvYSVdbW5Tl/yjMbGrJeNcms6WtiEv6IobgEaJtp/lkli39tRlPKMQX4964THZqA46yVsdVKd00yyMlybA0SM/1+sj/sjrkz8l122l3zzAyhKXCjJeewIlvKext22GOvjH8Xx8S370D1zEDakL8Z/BzuvrKlrKyv8GBtSnzOZWqCj44yZTsh96ic4gSsIC4q0KqfV8fi70BwpMDAwGNWjv4Layx/1l37H1a8eRh9lS7LlyugZaE6nu29yKU5/uxjR417QZZmIu+tvKNszFQkpfQEAeyZuQuO1Kwj1CwIA+Mz8AuWHtyM1ufWb2Z3Nyfv2o/qntxA/+G64A9g/uRSXz9Ug4vpF795Jm1F/9RLCArU3JSOmf4CyfeVISe0LpdIFZUM+Qt5/LCcudwb3+4ux4dPH4ZU9EYk/zZCMjsiY/jrKD+9ArsH3mVp4D8qjMhHaPQMAsH9yGS6fO4WI2B64Nv1DlO37LwAgPLElXFtodCrKh36CS7u+ReSQuTh3ohrJKZZv+AZNX4vikk+hOLYVyuThCE/ujySfABT9nAaVdwi6pQ/Cb8f3IDK5D0p3bYBoakBCZks+Dc+ZX6H88A6kWKiPuu/N4OZu6qgFKKsqQHiC6STtknVvfRhlVf0RFp9jcrlvYAR2jP4Rag9v+Os9HxjWHdtHfQ93b3/4Q1qOrQmPzUBxj6VwPfQTVL3vRXJaSyJsj1lfo/zwDoQFRABHpSEgEm9bhNLdwxCf1t9wkwCApDFPoXTPMKjUHrhy5hDcVNFAqfamwoaUZ1Cw508AgP1TynXnlZT8O1EsmuAXnYXAwBBc3vUN/PvMxLHqrQiJMf4s3Se/hbK9pUjS+/4971uPDf96CgW1a3TPbRv6LwRFp+LI+Vo0XqtDeIC2w2PbsM9x5cxBJPWbgOINHyIgrvf1rhCpI4pukgw5aaMfxYb1YdoyOvgDel3doFtWMfwLGGba8fDyxbah/8Kl7Z9BnTQUcRHxCAh7CBs3R8A7NBHnKz/DTadXwdDlO9dh2+8nkZrcC5UxPZH9g7aDbK8yXvL9A5CEsyvOWIrUgvZ3GNgiNmsItrl/jov7NyE4awT0x/eljl2IsqpC7TGwQts5q3+7ZrdLKq4OXoJog2ShYubP2PTZ43BpvIyYaSts3qfUUY+grCof4WaOJ0AbR79qQjE0TdcQopfvbO+dJai7fBaZUQm63GAlXoXoe/nfALThKaBUIbWH6cTxgHZqfLzmCABt0vqmxmvo8aVxnpHIGatR9P3rcA1NRKJ+DiUAR2fvRvQqbYfsSRGICMXvRq+3xDcwzOTz//G5DUMuSkPrGM6YOTKtDKazr7T4RZONcS6bWlnLvo7O3o1Dm/8J/wTtcR8eHqu31PzFzK5xv+C3PRuQNljb+dwcpcPSDb2Ecc8B73yoe6w9134Hd+8AJAVHYmNTE3y6pSA6Phul9R9Ao2lCyJZndd+7KUnj/4yyPWPQPUna6Xdq+lZcqDmCmKSe2L3HOOFMSFyOJK+WPXgWcBQ5kVx2qdKR3rgL2wOGIRlA8kDrruX9gyPhP/Jh3eNql0QkN+3DrsBb0NHGcvpEZQI7tH/L2VF/MPhmRNWuwSFFtFWj+8ky/Rn6yQWTLa7bnCOJzFPojWG2Nml789Ej0Pp34AhePgFI0zvv2JNCqWxXPpOUAufVOf/gSJS5D0Be3Sb81yMfpocDOoantz/SR5rPX2krF5UKabfMtdv2zCkNmYCCM2tNtl/VHl5Iv3We0WtSh9g2CLI9LsUbh2R0c2/5JfHwdn7YuCuRNwH7inWDuDo7uQdTVLr1RPY1bY5qjVBAqTB8f+n1Skxaf8DMPa6Ojh0znZBfUITJhPRmGYT+0SXuDYnEL5owSceMRtkyqsovMAJ+U6WjvFQqV8T0aBkZHBgmnQmi9vDSJgy7Aanc1JIfVd/ACPgGtowMb04w3szVzR0x6QN0j2PSBwD/cfx+2spFpULqnX8BAJz/0UvSMaP28Db5fSqUSsnzvoFhuhuJbmoPxPQwPUJYl0wOgG+AqVvpUmp3T6QMmg5AmsQzbdgc3d9eftoyjtVLcN7a/usz/N6aKZUuku/PEmvW1SZ9N6afSFu/HK2hTW5qnOC0+XOfrTG+yahyUyM2u9BspAqVmxqxmTdpHyT3Rs1W7R3F34QP1EGxLftq8P3pX2y79dNelJkre5WbWnIeAa7XwzteAN5o6ZiJStV2qHno3XgHgKjkXkCyttNPWz9MM7y5oFAqdReMRw58I31/V9MjSqNS+wCpLR17SqWL7qZMt6SewBvGHTP+wZHwvz7bpltST10YlAal+dAnDcLF4mdxJP3y1Ndava4rfAHRJl7n4eWrSzjaFtYee0GSG/ta/sGRUIQYdrG1iM0ubHW71xQt3XmmktY3U6lczYZZcff0QVFTJm5y2Y6v/KfjvvN/tfieZ+GDALT+m65QaGds9LvU0gHgopDeLGgt54C+WuGLEMUFq9dvD3dPH6QOvdfiOqZuCIZEJiIkMtFoHUuNA1c3d5yBP4JxTvdceGyG7u/k/JYbq8114uIWy8ldXVQqo/MWAHj7BVuMx+wQSk54J5KL513/QHHl94jtbVsidkOquz5G8a8/IrbPOPvsmB11S8hpeWBjqLW2hBNtljBuEYpLshCRYTz4wZn6Knbjn+rFWNAwB4D9Zz06Dmcg2ZOQHAu2lm3HCPVDLYLvfBvF5V8jJo85lqwRP24xikt6oltWx5ylnXTTDKPn3NQeKBu8FkIIdPdsbZia4yUPvR8bvYIRktwPzu8msp+2/9K0/bxo6j2dEfHBUdgx0wVYSoxseC0tXG6M3lxqG4VRLzR1Zgp7/FhpWpJYdrYfP0s5XuTKi6NPYzLZOTmaQtiWg8XU99Qe1oStsTb/kal6axjKrC2cfWzbNgJLofd/B2NTrhwi6gy8/ILsMrvAxz+kU8xSsPX3wC+u9SgJv7lFIejaMVxUSgfauLq5O3UUvTn/VGtzG/zFdTlq8bST98YG/A2yK6W6ZfS9p3egla/id9BReXr7I+UmeSMTdGZuao8O/ZvlojJ9K9vUICpncVGpJIPBqO201yY37vmVQ+66AhtGVgolO2a6Mnvc4KMbjeb6/x3yNqhFGgujOJV2TPptLXvf8CfH0MDSYAbrf0+bz6dCWNExgyartqkSxvVWZeVrOwNrbgg2j87OVMqfxJWoq6qvr8cTTzyBXr16IT8/HytXrnT2LpGjWPk7Vz1pE8qHfoIIg1CepjTM+Bl7U+bi/Ax5Q2h2NczZY2fKlqgjak9v217bjplkREQk5exBhI7WZTtmukID45rQ9iKHpA4yu457UEuEzUahRFKi6SSBZB/NCdeLwmY5d0fM2KVKd/YukB15GoTXOaSIsnkbSXHxaBAuOI5QBMdm22vXzNoYMB4AUBTW9hi1Ze7a2KLHksxv40LKnZLH/qFtizbcfMxcSTc/omiHayYA4GK68ZTrbqHhuCA8cEzIHArJRkcU2hxMvoktuVkCIhKctTs2ETna3CT/9bBuBNX5Htp6s9VzsO65369nVPLtcavV73vFQxtSLSXV9HFzGkG6v8t7PI0mEx04ReH3SB6res6EMkca8q4mapTV+9TMNUBb3ytdtHXTMyTW5m3YU3qyNqTjWVXroRyTk7TH3MXgPIvr7YrThk0r8Rpq1T4c664d0fZfd/P5h1rjm2kcHsPdwwdbvO0bBqKt5yuitnrppZewY8cOvP/++3j22Wfx+uuv47vvvnP2bpEdHVRow1OrMidZtX5AaIzV4atd1F7wv3kh1F7+bd09skJAjxEAgHOwsROBTApJ1YaxaxTW3zJr9Na2tdKSTIewJqK2q4G1M9fIEcKjtKGlo7snt+n1F9KmAQB2qDLhmTkOAHASxvdAdqq07cKLaVNRodaGTd+cuEC3fK9Sew+iKeNO1PfQ5vKqculo2ftsoxCia855Xbx4MUpLS7F06VKcOHECjz32GJ5//nmMGDHC6m2cOXPRKTOGFQrocsxYev/LF8+i7tJZizHymxobUXNkF/zDYnHpXI0kjjtZX9bW0miacPrQDoTHZkLRAWPENzY24FDZN4jKLIS7E+Jy2ru8CTh35jgUCgXqL1+AX2gM1O6eAGwr6zMn9sPTNwie3v74/fRhuLl7OSyngvYY2Ynw2Iw2HyONjQ04c7QKYd17mN2G0GhwYv82ePgGQ6FUIcBCXhJLGq7V4bcT+yW5goz2p6EODZeOwzMwwWRZn605ApWbh025QeR2+fxvuHj2FMJje+DC2RpoGurN5mdyNlN1+9ShHQgIj9fVf0uERoOTB39FcFQK3NTafDN1Vy7i4tmTCIm0/kJUv25c+P00rpyvgauHD4SmCbXbv0fqsAdwdPdG1J0/heQBk1BXdxUHNv4DifmTde8rNBqcOrQdKjd3XP79hC6X1pFdm3C1Zj+8I9MRmZSHwzs24MqJnYjsPd6q/F1NjY2oPbobYd174NShHQiNSTcbEsASe56za45USc5R5giNBif3VyA0LhMqlavF9Wz5bEKjwbHqrQiNzbKqnphz+vBu/F7+MZQhKQhPK4BfUDcIjQb7tn4B0VCHproLSLhpBk7s2YKm+iu4VlONyP534cKZY7h8ogpNF0/CO74//Lul4FjxKnhE56G++ie4xudDWXcGvvEFCOrmvE7R5u+cuo4rV66gX79+eOedd9C3b18AwJtvvonNmzdj9erVVm3Dmdd1vLa0Tn3dFZyvOYLQmLYP0rtRyrrh6iWc+ffLCBn2GFRubf89cCRzZV17fB98AsKc0o67Ef128gDcvQPg7RtgVd1uvFaPMyf2SvLakW1ulPNIZ9DZyrrxWj32bVyLuP6T2nWt7iydrbwNaTRNOHVoJyLacZ/m1KGdCO6WCJWbGjVH98AvOBJqD+lgAm0beh/CYzMk59SzNUfg4uoOd08fnD11SJfD+dShnQjqlgBXt5Z8vh2hrG1pM3XJjhl7NDCAjt8xQ+3HspYXy1s+LGv5sKzlxfKWD8taPh2lrNkx0/WUl5dj2rRpqKiogJubNuRxSUkJ7rvvPlRUVEBpReO8IzSMnX3sdAUsa/mwrOXF8pYPy1o+LGt5sbzl0xHK2pY2k+3DI28AVVVVaGxsRG5uru65vLw8vPXWW9BoNFY1MIiIiIiIiG5ktbW1CAgI0HXKAEBwcDDq6+tx7tw5BAa2HlrEmekWmt+bKR8cj2UtH5a1vFje8mFZy4dlLS+Wt3w6Qlnb8t5dsmPGHg0MwHlfckeoZF0Fy1peLG/5sKzlw7KWF8tbPixr+XSUsnb2+5P8rl69KmkzAdA9vnbtmlXbCApy/iyrjrAPXQXLWj4sa3mxvOXDspYPy1peLG/5dJay7pIdM/ZoYADO/5Kd/f5dCctaXixv+bCs5cOylhfLWz4sa/mwrEluarXaqH3U/Njd3d3US4z89ptzQ0kEBfk4dR+6Cpa1fFjW8mJ5y4dlLR+WtbxY3vLpCGXdvA/W6JIdM/ZoYADOa2R0hErWVbCs5cXylg/LWj4sa3mxvOXDspZPRylrWxoZdGMICwvD2bNn0djYCJVK23Ssra2Fu7s7fH19rdqGEHD6OaIj7ENXwbKWD8taXixv+bCs5cOylhfLWz6dpay7ZMeMPRoYgPO/ZGe/f1fCspYXy1s+LGv5sKzlxfKWD8taPixrkltaWhpUKhUqKirQq1cvAEBZWRkyMzOZl5OIiIiIqB265NW0fgOjGRsYRERERERELTw8PDBu3DgsWrQIv/76K3766SesXLkSM2bMcPauERERERF1al2yF4INDCIiIiIiotYtXLgQPXr0wMyZM/Hcc8/hD3/4A4YPH+7s3SIiIiIi6tS6ZCgzQNvAWLRoEWbOnAlvb282MIiIiIiIiAx4eHjgxRdfxIsvvujsXSEiIiIiumF02Y4ZNjCIiIiIiIiIiIiIiEhuXTKUGRERERERERERERERkTOwY4aIiIiIiIiIiIiIiEgm7JghIiIiIiIiIiIiIiKSCTtmiIiIiIiIiIiIiIiIZMKOGSIiIiIiIiIiIiIiIpmwY4aIiIiIiIiIiIiIiEgm7JghIiIiIiIiIiIiIiKSCTtmiIiIiIiIiIiIiIiIZMKOGSIiIiIiIiIiIiIiIpmwY4aIiIiIiIiIiIiIiEgm7JghIiIiIiIiIiIiIiKSCTtmiIiIiIiIiIiIiIiIZKJy9g50ZgqFc9/XWe/flbCs5cXylg/LWj4sa3mxvOXDspZPRylrZ78/dU7OrDcd5djpCljW8mFZy4vlLR+WtXxY1vJiecunI5S1Le+tEEIIx+0KERERERERERERERERNWMoMyIiIiIiIiIiIiIiIpmwY4aIiIiIiIiIiIiIiEgm7JghIiIiIiIiIiIiIiKSCTtmiIiIiIiIiIiIiIiIZMKOGSIiIiIiIiIiIiIiIpmwY4aIiIiIiIiIiIiIiEgm7JghIiIiIiIiIiIiIiKSCTtmiIiIiIiIiIiIiIiIZMKOGSIiIiIiIiIiIiIiIpmwY6aTqa+vxxNPPIFevXohPz8fK1eudPYudSo//vgjUlJSJP/mzZsHANi1axcmTZqE7OxsTJgwATt27JC89quvvsLNN9+M7OxszJ07F7///rtumRACf/nLX9CvXz/06dMHL730EjQajayfraO4du0aRo8ejZKSEt1zR48exaxZs5CTk4ORI0eiuLhY8ppNmzZh9OjRyM7OxowZM3D06FHJ8vfeew8FBQXIzc3FE088gatXr+qWdeVjwlRZL1myxKiOr1mzRre8PfX47Nmz+MMf/oDc3FwUFhbiiy++kOeDOtHp06cxb9489OnTBwUFBVi6dCnq6+sBsF47gqXyZt22r8OHD+Oee+5Bbm4uBg8ejBUrVuiWsW7bn6XyZt0msr+ueq6xF7aZHI9tJnmx3eR4bDfJh20mebHdJJ8u2WYS1Kn86U9/EmPGjBE7duwQP/zwg8jNzRXffvuts3er03jzzTfFnDlzRE1Nje7f+fPnxeXLl8XAgQPFCy+8IPbt2ycWL14sBgwYIC5fviyEEKKyslJkZWWJzz77TOzevVtMmzZN3H///brtvvvuu2LQoEGitLRUbN68WeTn54sVK1Y462M6TV1dnZg7d65ITk4WW7ZsEUIIodFoxJgxY8Qjjzwi9u3bJ9566y2RnZ0tjh8/LoQQ4vjx4yInJ0e8++67orq6WsyfP1+MHj1aaDQaIYQQ3333ncjLyxP//ve/RWVlpRg5cqR47rnndO/ZVY8JU2UthBCzZs0Sy5cvl9TxK1euCCHaX4/nzJkjZs6cKfbs2SM++ugjkZGRISorK+X70DLTaDTijjvuEPfee6+orq4WpaWlYtiwYeKFF15gvXYAS+UtBOu2PTU1NYnhw4eLRx55RBw8eFD88ssvomfPnuLLL79k3XYAS+UtBOs2kSN0xXONPbHN5FhsM8mL7SbHY7tJPmwzyYvtJvl01TYTO2Y6kcuXL4vMzEzJxcQbb7whpk2b5sS96lweeeQR8b//+79Gz3/88ceisLBQd4LUaDRi2LBh4tNPPxVCCPHHP/5RPPbYY7r1T5w4IVJSUsSRI0eEEEIMGjRIt64QQnz++ediyJAhjvwoHc7evXvF2LFjxZgxYyQXvZs2bRI5OTm6BpsQQsycOVP87W9/E0II8dprr0nq8JUrV0Rubq7u9VOmTNGtK4QQpaWlIisrS1y5cqXLHhPmyloIIQoKCsSGDRtMvq499fjw4cMiOTlZHD16VLf8iSeekGzvRrNv3z6RnJwsamtrdc+tW7dO5Ofns147gKXyFoJ1255Onz4t5s+fLy5evKh7bu7cueLZZ59l3XYAS+UtBOs2kb111XONPbHN5DhsM8mL7SZ5sN0kH7aZ5MV2k3y6apuJocw6kaqqKjQ2NiI3N1f3XF5eHiorK7vsFHBb7d+/H7GxsUbPV1ZWIi8vDwqFAgCgUCjQs2dPVFRU6Jb36tVLt35ERAS6deuGyspKnD59GidPnkTv3r11y/Py8nD8+HHU1NQ49PN0JFu3bkXfvn3xz3/+U/J8ZWUl0tPT4enpqXsuLy/PbNl6eHigR48eqKioQFNTE7Zv3y5ZnpOTg4aGBlRVVXXZY8JcWV+6dAmnT582WceB9tXjyspKREREICoqSrJ827Zt9v1wHUhISAhWrFiB4OBgyfOXLl1ivXYAS+XNum1foaGheO211+Dt7Q0hBMrKylBaWoo+ffqwbjuApfJm3Sayv656rrEntpkch20mebHdJA+2m+TDNpO82G6ST1dtM6lkeReyi9raWgQEBMDNzU33XHBwMOrr63Hu3DkEBgY6ce86PiEEDh48iOLiYixfvhxNTU0YMWIE5s2bh9raWiQmJkrWDwoKwt69ewEANTU1CA0NNVp+6tQp1NbWAoBkefOP5KlTp4xed6OaMmWKyedra2vNll1ryy9cuID6+nrJcpVKBX9/f5w6dQpKpbJLHhPmynr//v1QKBR46623UFRUBH9/f8yePRu33347gPbVY3Pf0+nTp+32uToaX19fFBQU6B5rNBqsWbMG/fr1Y712AEvlzbrtOIWFhThx4gSGDBmCW265Bc8//zzrtgMZlveOHTtYt4nsjG2m9mGbybHYZpIX203yYLtJPmwzOQ/bTfLpSm0mdsx0IlevXpUclAB0j69du+aMXepUTpw4oSvD1157DceOHcOSJUtQV1dntmyby7Wurs7s8rq6Ot1j/WUAvxfAfL1tLhtLy02Vrf5yIQSPCT0HDhyAQqFAfHw8pk2bhtLSUjz99NPw9vbGsGHD2lWPW/seu4KXX34Zu3btwieffIL33nuP9drB9Mt7586drNsO8re//Q1nzpzBokWLsHTpUp6zHcywvHv06MG6TWRnbDO1D9tMzsHfX3mx3eRYbDfJh20m+bDdJJ+u1GZix0wnolarjSpG82N3d3dn7FKnEhkZiZKSEvj5+UGhUCAtLQ0ajQZ//OMf0adPH5Nl21yu5srew8NDckCr1Wrd34B2qmJXp1arce7cOclz1pStr6+vUXnqL/fw8EBTUxOPCT3jxo3DkCFD4O/vDwBITU3FoUOH8I9//APDhg1rVz0299quUs4vv/wy3n//fbz66qtITk5mvXYww/JOSkpi3XaQzMxMAEB9fT0WLFiACRMm4OrVq5J1WLftx7C8y8vLWbeJ7IxtpvZhm8k5eG0pL7abHIftJvmwzSQvtpvk05XaTMwx04mEhYXh7NmzaGxs1D1XW1sLd3d3+Pr6OnHPOg9/f39dTGQASEhIQH19PUJCQnDmzBnJumfOnNFNZwsLCzO5PCQkBGFhYQCgmx6n/3dISIhDPkdnYq7srClbf39/qNVqyfLGxkacO3dOV/Y8JlooFArdD1Wz+Ph43RTM9tRjS6+90S1evBirVq3Cyy+/jFtuuQUA67UjmSpv1m37OnPmDH766SfJc4mJiWhoaGjX7yHrtmmWyvvSpUus20R21lXPNfbENpP8eG0pL15bOgbbTfJhm0kebDfJp6u2mdgx04mkpaVBpVLpEkkBQFlZGTIzM6FU8qtszYYNG9C3b19Jj/bu3bvh7++vS+wkhACgja1cXl6O7OxsAEB2djbKysp0rzt58iROnjyJ7OxshIWFoVu3bpLlZWVl6NatW5eJlWxJdnY2du7cqZs+CGjLx1zZXr16Fbt27UJ2djaUSiUyMzMlyysqKqBSqZCamspjwsBf//pXzJo1S/JcVVUV4uPjAbSvHufk5OD48eO6eKnNy3Nychz6mZzt9ddfx9q1a/HKK69g1KhRuudZrx3DXHmzbtvXsWPH8NBDD0ni5u7YsQOBgYHIy8tj3bYzS+W9evVq1m0iO+uq5xp7YZvJOXhtKS9eW9of203yYZtJPmw3yafLtpkEdSpPP/20GDVqlKisrBQ//vij6Nmzp/j++++dvVudwsWLF0VBQYH4f//v/4n9+/eLX375ReTn54u3335bXLx4UfTr108sXrxY7N27VyxevFgMHDhQXL58WQghRHl5uejRo4f46KOPxO7du8W0adPEnDlzdNtevny5yM/PF1u2bBFbtmwR+fn5YuXKlc76qE6XnJwstmzZIoQQorGxUYwcOVI8/PDDorq6Wixfvlzk5OSI48ePCyGEOHr0qMjMzBTLly8X1dXVYv78+WLMmDFCo9EIIYT46quvRM+ePcWPP/4oKisrxahRo8TixYt179XVjwn9sq6srBTp6elixYoV4vDhw+LDDz8UGRkZory8XAjR/np89913i2nTpondu3eLjz76SGRmZorKykp5P7CM9u3bJ9LS0sSrr74qampqJP9Yr+3PUnmzbttXY2OjGD9+vLj77rvF3r17xS+//CIGDBgg3nvvPdZtB7BU3qzbRI7RFc819sI2k3zYZpIX202Ow3aTfNhmkhfbTfLpqm0mdsx0MleuXBGPPvqoyMnJEfn5+WLVqlXO3qVOpbq6WsyaNUvk5OSIgQMHimXLlulOipWVlWLcuHEiMzNTTJw4UezcuVPy2k8//VQMGjRI5OTkiLlz54rff/9dt6yxsVE8//zzolevXqJv377i5Zdf1m23K9K/6BVCiEOHDompU6eKjIwMMWrUKLFx40bJ+r/88osYPny4yMrKEjNnzhRHjhyRLF++fLno37+/yMvLEwsXLhR1dXW6ZV39mDAs6x9//FGMGTNGZGZmihEjRhj9cLenHp85c0bMmTNHZGZmisLCQrFu3TrHf0AnWr58uUhOTjb5TwjWa3trrbxZt+3r1KlTYu7cuaJnz55i4MCB4v/+7/90ZcK6bX+Wypt1m8j+uuq5xl7YZpIH20zyYrvJcdhukg/bTPJju0k+XbHNpBDi+jxkIiIiIiIiIiIiIiIicqgbMzAdERERERERERERERFRB8SOGSIiIiIiIiIiIiIiIpmwY4aIiIiIiIiIiIiIiEgm7JghIiIiIiIiIiIiIiKSCTtmiIiIiIiIiIiIiIiIZMKOGSIiIiIiIiIiIiIiIpmwY4aIiIiIiIiIiIiIiEgm7JghIupCGhoasGzZMgwdOhQZGRkYPHgwli5dikuXLjllf1JSUlBSUmLz644dO4aUlBS88sorRsuWLVuG6dOn22P3jLR1f4mIiIiIqPNgu6l92G4iImodO2aIiLqQv/zlL/jhhx+wZMkSfPfdd1i6dCk2btyIBQsWOHvX2mTlypXYv3+/s3eDiIiIiIhuIGw3ERGRo7FjhoioC/nss88wf/589O/fH1FRUejfvz8WLVqE//znP6ipqXH27tksNDQUf/rTn5y9G0REREREdANhu4mIiByNHTNERF2IQqHAli1boNFodM/l5ubi66+/RkBAAADg9OnTmDdvHnr37o2MjAzcfvvtKCsrA9AyFf6XX35BYWEhcnNzsWTJElRXV2P8+PHIycnBnDlzdFP8H3/8cSxZsgQPPPAAsrKyMG7cOJSXl5vct2vXrmHJkiXo27cv+vbtiwULFuDcuXMWP8/ChQtRWlqKL7/80uTykpISpKSkSJ57/PHH8fjjjwPQTt9/9NFHsXjxYuTm5qKwsBDFxcVYs2YNBgwYgH79+uGDDz6QvL60tBTDhw9HdnY25s+fj/Pnz+uWVVdXY/r06cjKysItt9yCDz/8ULds2bJlePDBBzF16lT06dMHW7dutfjZiIiIiIjIOdhuYruJiMjR2DFDRNSFzJgxA6tXr0ZhYSGeffZZfP/996irq0NiYiJcXV0BAAsWLEBTUxPWrl2Lzz//HGFhYVi0aJFkO2+//TbefPNNLF68GKtXr8ZDDz2ERx55BO+++y4qKirwySef6NZdu3YtEhMT8dlnn6F37964//778fvvvxvt2yuvvIIdO3bgnXfewQcffIBLly5h/vz5Fj9PWloapkyZgpdeegkXL15sU5l888038PHxwRdffIGsrCw8/PDDKC4uxurVqzF9+nS8+OKLkv398MMP8eSTT+LDDz/EwYMHsXTpUgBAXV0d7rvvPuTl5eHLL7/EY489hjfffBOff/657rU///wzRo8ejffffx9ZWVlt2l8iIiIiInIstpuMsd1ERGRf7JghIupC5s6di5dffhnh4eH46KOPMG/ePBQUFODTTz8FAAghcPPNN+Ppp59GQkICEhMTMXXqVOzbt0+ynQcffBCpqakYPXo0goKCMGrUKAwcOBB5eXno378/Dhw4oFs3MTERCxYsQEJCAhYuXAg/Pz988803ku1dvXoVa9aswXPPPYesrCykpKTgpZdewtatW7Fnzx6Ln+nhhx8GALz66qttKpOAgADMnz8fMTExuP3223Hx4kU8+eSTSEhIwD333IPGxkYcPnxYt/5DDz2EQYMGISMjA0899RTWrVuHS5cuYd26dQgKCsLDDz+M2NhYFBYW4oEHHpCMHAsODsbkyZORlpYGd3f3Nu0vERERERE5FttNxthuIiKyL5Wzd4CIiOQ1duxYjB07FmfPntVNP3/yySeRkpKCjIwMTJ48Gd988w3Ky8tx8OBB7NixQzKFHwCio6N1f7u7uyMyMlLy+Nq1a7rHPXv21P2tVCqRnp5ulHjy6NGjaGhowF133SV5XqPR4NChQ0bT6vV5e3tj4cKFWLBgAcaPH29bYQCIioqCQqHQ7TsA3edpfqz/eTIzM3V/p6eno7GxEUeOHMGBAwdQVVWF3Nxc3fKmpia4uLjoHuuXExERERERdVxsN0mx3UREZF/smCEi6iKqqqrw+eef6+IEBwQEYMyYMbjlllswfPhwbNmyBenp6bj77rtx4cIFjBw5EoWFhWhoaMBDDz0k2Zb+RTOgbTiYo1JJf2qampqM1m9qagIA/P3vf4enp6dkWVBQUKufbdSoUfjkk0+waNEiFBQU6J5vbjjoa2xslOyT4f4Blj+P/mcXQgAAXF1d0djYiP79++OZZ54x+1q1Wm35gxARERERkVOx3aTFdhMRkWMxlBkRURfR1NSEVatWYdeuXZLn3dzc4O7ujsDAQOzbtw+lpaV477338MADD2Dw4MGoqakB0HIxbavdu3dL9qGqqspoJFd0dDRcXFxw7tw5dO/eHd27d4e3tzeWLl2K3377zar3eeaZZ1BVVYUvvvhC91xz/OfmpJqANhFne1RXV+v+/vXXX+Hq6oqoqCjExcXh4MGDiIqK0n2GiooKrF69ul3vR0RERERE8mG7SYvtJiIix2LHDBFRF9GjRw8MHjwYDz74INatW4djx46hoqICzz77LK5du4bhw4fD19cXSqUSX3/9NY4fP47vvvsOy5YtAyCdlm6LrVu3YuXKlThw4AD+/Oc/4+rVqxgxYoRkHW9vb0yaNAmLFi1CSUkJ9u3bh0cffRSHDx9GVFSUVe8TFxeHe++9F8ePH9c9l5SUBHd3d7z11ls4evQoVqxYYdTAstWrr76KzZs3o6KiAkuWLMFdd90FDw8PjB07FnV1dXjmmWewf/9+rF+/Hn/+85+tGrlGREREREQdA9tNbDcREcmBHTNERF3Ia6+9httuuw2vv/46br31VsyZMweXLl3CmjVr4O3tjfDwcCxatAjvvPMORo8ejbfffhtPPfUUVCpVmy/MCwsLsWXLFowbNw67du3CqlWr4Ovra7Te448/jv79+2PevHm44447oFKp8PbbbxtN/7fkgQcekMRx9vb2xuLFi/H1119j9OjRqKqqwtSpU9v0OZrNnj0bTz75JGbPno3c3FwsWLBA917vvPMODh06hHHjxuGpp57C1KlTMWfOnHa9HxERERERyYvtJrabiIgcTSHaOseSiIioFc1xmV944QUn7wkREREREVHHxHYTEVHXwxkzREREREREREREREREMmHHDBERERERERERERERkUwYyoyIiIiIiIiIiIiIiEgmnDFDREREREREREREREQkE3bMEBERERERERERERERyYQdM0RERERERERERERERDJhxwwREREREREREREREZFM2DFDREREREREREREREQkE3bMEBERERERERERERERyYQdM0RERERERERERERERDJhxwwREREREREREREREZFM2DFDREREREREREREREQkk/8fomPFhhL1J/AAAAAASUVORK5CYII=\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(1,2,figsize=(20,7))\n",
    "\n",
    "ax[0].plot(df_iter_inputed[\"CO\"].to_numpy(),label=\"Imputed Values\")\n",
    "ax[0].plot(df[\"CO\"].to_numpy(),label=\"Original values\")\n",
    "ax[0].set_xlabel(\"Sample Number\")\n",
    "ax[0].set_ylabel(\"CO concentration (ug/m^3)\")\n",
    "ax[0].legend()\n",
    "\n",
    "ax[1].plot(df_iter_inputed[\"NO2\"].to_numpy(),label=\"Imputed Values\")\n",
    "ax[1].plot(df[\"NO2\"].to_numpy(),label=\"Original values\")\n",
    "ax[1].set_xlabel(\"Sample Number\")\n",
    "ax[1].set_ylabel(\"NO2 concentration (ug/m^3)\")\n",
    "ax[1].legend()\n",
    "plt.show()\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(35064, 1)\n",
      "(35064, 16)\n",
      "(35064, 17)\n"
     ]
    },
    {
     "data": {
      "text/plain": "<AxesSubplot: >"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 2000x600 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_df = df[[\"Datetime\"]]\n",
    "print(cat_df.shape)\n",
    "print(df_iter_inputed.shape)\n",
    "\n",
    "complete_df = pd.concat([cat_df,df_iter_inputed],axis=1)\n",
    "print(complete_df.shape)\n",
    "\n",
    "plt.figure(figsize=(20,6))\n",
    "sns.heatmap(complete_df.isna(),cbar_kws={'label': 'Missing Data'})"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "We can see that the missing values are gone. We are now ready to start transforming each feature.\n",
    "\n",
    "We will start by dealing with date related variables"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Feature Transformation"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Date related features"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "For now we have 3 date related columns: Datetime, Year, Month, Day, Hour. The Datetime column is redundant and only serves as an auxiliary tool.\n",
    "\n",
    "We can add more columns to complete the information we already have:\n",
    "1. Weekend or Holiday?[binary] --> Weekends and Holidays should influence the amount of air pollution (less commute--> less traffic--> less pollution)\n",
    "2. Day of the Week[0,6] --> Air pollution should be related to the day of week\n",
    "\n",
    "\n",
    "**Note**: (Information about the season should be encoded in Month + Day variables)\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'workalendar'",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mModuleNotFoundError\u001B[0m                       Traceback (most recent call last)",
      "Cell \u001B[1;32mIn[11], line 1\u001B[0m\n\u001B[1;32m----> 1\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mworkalendar\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01masia\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m China\n\u001B[0;32m      2\u001B[0m \u001B[38;5;28;01mimport\u001B[39;00m \u001B[38;5;21;01mholidays\u001B[39;00m\n\u001B[0;32m      4\u001B[0m \u001B[38;5;66;03m#add days of the week 0\u001B[39;00m\n",
      "\u001B[1;31mModuleNotFoundError\u001B[0m: No module named 'workalendar'"
     ]
    }
   ],
   "source": [
    "from workalendar.asia import China\n",
    "import holidays\n",
    "\n",
    "#add days of the week 0\n",
    "complete_df[\"Day of the Week\"] = (complete_df[\"Datetime\"].dt.weekday) + 1 #dt.weekday starts counting at 0 and just to be sure there are no problems with x0 multiplications later on I added 0\n",
    "complete_df[\"Weekend\"] = (complete_df[\"Day of the Week\"] > 5).astype(int) #assert the weekend days\n",
    "complete_df[\"Weekend\"].value_counts()\n",
    "complete_df[\"Day of the Week\"].value_counts()\n",
    "\n",
    "#holidays\n",
    "holidays = holidays.China(years=[2013,2014,2015,2016,2017])\n",
    "complete_df[\"Holiday\"] = [date in holidays for date in complete_df[\"Datetime\"]]\n",
    "complete_df[\"Holiday\"] = complete_df[\"Holiday\"].astype(int)\n",
    "\n",
    "complete_df.drop(columns=[\"Datetime\"],inplace=True)\n",
    "\n",
    "\n",
    "print(complete_df.head())"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Scaling Features"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "I will scale all features to be in the [-1,1] interval$^*$. Applying the following formula sets the variable *x* to be in an arbitrary range [a,b]:\n",
    "\n",
    "$$x^' = a+\\frac{(x-min(x))(b-a)}{max(x)-min(x)}$$\n",
    "\n",
    "\n",
    "When we did the EDA we noticed that air quality features (**PM2.5**,**PM10**,**SO2**,**NO**,**CO**, and **O3**) are left-skewed. Most ML algorithms work better when features follow a normal distribution, so it's better that we apply a **log transformation** to these left-skewed distributions in order to \"normalize\" them.\n",
    "\n",
    "$^*$**NOTE**: My experience is that [-1,1] tends to work better than [0,1]."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           Datetime\n",
      "count  3.506400e+04\n",
      "mean   2.593813e-17\n",
      "std    5.773750e-01\n",
      "min   -1.000000e+00\n",
      "25%   -5.000000e-01\n",
      "50%    0.000000e+00\n",
      "75%    5.000000e-01\n",
      "max    1.000000e+00\n"
     ]
    },
    {
     "data": {
      "text/plain": "<AxesSubplot: >"
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def transform_df(input_df):\n",
    "    return -1 + (input_df - input_df.min())*(1+1)/(input_df.max()-input_df.min())\n",
    "\n",
    "#fix skew\n",
    "skewed_cols = [\"PM2.5\",\"PM10\",\"SO2\",\"NO2\",\"CO\",\"O3\",\"WSPM\"] # notice the wind speed vairable is also left-skewed and corrected\n",
    "fixed_skew_df = np.log(complete_df.loc[:,skewed_cols]+1)\n",
    "\n",
    "\n",
    "#scale all columns to [-1,1]\n",
    "scaled_df = complete_df.copy()\n",
    "scaled_df.loc[:,skewed_cols] = fixed_skew_df #join the 2 auxiliary dfs\n",
    "scaled_df = transform_df(scaled_df) #leave out the weekend column because it's binary and thus doesnt need to be scaled\n",
    "\n",
    "\n",
    "print(scaled_df.describe())\n",
    "#aux_dx =\n",
    "#scaled_df = -1 + (complete_df - complete_df.min())*(1+1)/(complete_df.max()-complete_df.min())\n",
    "#scaled_df.head()\n",
    "#scaled_df.describe()\n",
    "\n",
    "scaled_df[\"WSPM\"].hist()\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 2000x1500 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scaled_df.hist(bins=15,figsize=(20,15));\n",
    "plt.show()\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "All variables seem to be in [-1,1] as intended, and left-skewed air quality variables are \"normalized\".\n",
    "\n",
    "**NOTE**: Strange behaviour like in histograms for day,hour, and month, where all bars should have the same lenght is due to the number of bins which has to be set equal for all histograms and causes this short of strange plots. I \"manually\" confirmed these variables distributions by doing for example scaled_df[\"month\"].value_counts() ."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Final Details - Checking correlation and removing redundant features"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\J. Bastos\\AppData\\Local\\Temp\\ipykernel_1336\\4188199819.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  df_corr = scaled_df.corr(method=\"pearson\")\n",
      "D:\\MLOps_Air_Py3.9\\venv\\lib\\site-packages\\seaborn\\matrix.py:202: RuntimeWarning: All-NaN slice encountered\n",
      "  vmin = np.nanmin(calc_data)\n",
      "D:\\MLOps_Air_Py3.9\\venv\\lib\\site-packages\\seaborn\\matrix.py:207: RuntimeWarning: All-NaN slice encountered\n",
      "  vmax = np.nanmax(calc_data)\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 2000x1500 with 2 Axes>",
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "df_corr = scaled_df.corr(method=\"pearson\")\n",
    "\n",
    "# Plot correlation matrix\n",
    "fig, ax = plt.subplots(figsize=(20,15))\n",
    "sns.heatmap(df_corr, ax=ax, mask=np.eye(len(df_corr)), square=True,\n",
    "            center=0, fmt='.2f', linewidths=.5,cmap=\"vlag\",annot=True);"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "1st we should remove the variable **PM10** because the concentration/number of particles with less than 2.5 $\\mu m$ (i.e. **PM2.5**)is included in the concentration/number of particles with less than 10 $\\mu m$ (i.e. **PM10**). Thus by removing **PM10** we prevent the target leaking to the inputs of our model."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [],
   "source": [
    "scaled_df.drop(columns=[\"PM10\"],inplace=True)\n",
    "scaled_df.head()\n",
    "\n",
    "#saving final dataset\n",
    "scaled_df.to_csv(\"final_dataset.csv\",index=False)\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [],
   "metadata": {
    "collapsed": false
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}