ch3.ipynb

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  {
   "cell_type": "markdown",
   "id": "16226a70-690b-4baa-ab9c-f89cd9bfc37f",
   "metadata": {},
   "source": [
    "#### Chapter 3 - Linear Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b63773ab",
   "metadata": {},
   "source": [
    "Q: Is there a relationship between advertising budget and sales?\n",
    "\n",
    "A: TV advertising shows a linear pattern with the amount of money spent on advertising and sales. However, the relationship begins to less linear above the 200 mark with more outliars. \n",
    "\n",
    "Radio does show somewhat of a linear pattern but has consistent outliars, meaning non linear model might be able to capture this behaviour better but for the most part most of the majority population show a linear pattern. \n",
    "\n",
    "Newspaper is slightly more stochastic indiciting that increased marketing doesn't generally lead to increased sales and could be a lot more difficult to model based on the distribution of data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb112336",
   "metadata": {},
   "source": [
    "Q: How strong is the relationship between advertising budget and sales?\n",
    "\n",
    "A: The relationship for TV and Radio is strong but the newspaper shows a weak relationship."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3611c90",
   "metadata": {},
   "source": [
    "Q: Which media are associated with sales?\n",
    "\n",
    "A: TV and Radio with sales from the newspaper being the worst performing."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22ecbf62",
   "metadata": {},
   "source": [
    "Q: How large is the association between each medium and sales?\n",
    "\n",
    "A: Radio shows a greater association with the majority of the population demonstrating a linear pattern with advertising. This is followed to some degree by TV but quickly rounds off and newspaper appears to be stochastic."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fc57174",
   "metadata": {},
   "source": [
    "Q: How accurately can we predict the future sales?\n",
    "\n",
    "A: Future sales for Radio and TV would likely provide better forecasts than for newspaper."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77ff0555",
   "metadata": {},
   "source": [
    "Q: Is the relationship linear?\n",
    "\n",
    "A: Radio may suit a linear model well as well as TV. but TV may benefit from a more flexible model to capture to increased distribution as the expendature for advertising increases. Newspaper is not linear."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13da64d9",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "source": [
    "Q: Is there synergy among the advertising media\n",
    "\n",
    "A: This is difficult to determine due to the X axis for each graph having different figures."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99da0f8a",
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "source": [
    "### Lab: Linear Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "id": "e43db9e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas.plotting import scatter_matrix\n",
    "from matplotlib.pyplot import subplots\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "id": "8f5b2c15",
   "metadata": {},
   "outputs": [],
   "source": [
    "import statsmodels.api as sm\n",
    "\n",
    "from statsmodels.stats.outliers_influence import variance_inflation_factor as VIF\n",
    "from statsmodels.stats.anova import anova_lm as ANOVA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "id": "9d2156b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ISLP import load_data\n",
    "from ISLP.models import (ModelSpec as MS, summarize, poly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "id": "8cf8f096",
   "metadata": {},
   "outputs": [
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      ]
     },
     "execution_count": 310,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "id": "4a824bd9",
   "metadata": {},
   "outputs": [
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       " '__neg__',\n",
       " '__new__',\n",
       " '__or__',\n",
       " '__pos__',\n",
       " '__pow__',\n",
       " '__radd__',\n",
       " '__rand__',\n",
       " '__rdivmod__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__rfloordiv__',\n",
       " '__rlshift__',\n",
       " '__rmatmul__',\n",
       " '__rmod__',\n",
       " '__rmul__',\n",
       " '__ror__',\n",
       " '__rpow__',\n",
       " '__rrshift__',\n",
       " '__rshift__',\n",
       " '__rsub__',\n",
       " '__rtruediv__',\n",
       " '__rxor__',\n",
       " '__setattr__',\n",
       " '__setitem__',\n",
       " '__setstate__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__sub__',\n",
       " '__subclasshook__',\n",
       " '__truediv__',\n",
       " '__xor__',\n",
       " 'all',\n",
       " 'any',\n",
       " 'argmax',\n",
       " 'argmin',\n",
       " 'argpartition',\n",
       " 'argsort',\n",
       " 'astype',\n",
       " 'base',\n",
       " 'byteswap',\n",
       " 'choose',\n",
       " 'clip',\n",
       " 'compress',\n",
       " 'conj',\n",
       " 'conjugate',\n",
       " 'copy',\n",
       " 'ctypes',\n",
       " 'cumprod',\n",
       " 'cumsum',\n",
       " 'data',\n",
       " 'diagonal',\n",
       " 'dot',\n",
       " 'dtype',\n",
       " 'dump',\n",
       " 'dumps',\n",
       " 'fill',\n",
       " 'flags',\n",
       " 'flat',\n",
       " 'flatten',\n",
       " 'getfield',\n",
       " 'imag',\n",
       " 'item',\n",
       " 'itemset',\n",
       " 'itemsize',\n",
       " 'max',\n",
       " 'mean',\n",
       " 'min',\n",
       " 'nbytes',\n",
       " 'ndim',\n",
       " 'newbyteorder',\n",
       " 'nonzero',\n",
       " 'partition',\n",
       " 'prod',\n",
       " 'ptp',\n",
       " 'put',\n",
       " 'ravel',\n",
       " 'real',\n",
       " 'repeat',\n",
       " 'reshape',\n",
       " 'resize',\n",
       " 'round',\n",
       " 'searchsorted',\n",
       " 'setfield',\n",
       " 'setflags',\n",
       " 'shape',\n",
       " 'size',\n",
       " 'sort',\n",
       " 'squeeze',\n",
       " 'std',\n",
       " 'strides',\n",
       " 'sum',\n",
       " 'swapaxes',\n",
       " 'take',\n",
       " 'tobytes',\n",
       " 'tofile',\n",
       " 'tolist',\n",
       " 'tostring',\n",
       " 'trace',\n",
       " 'transpose',\n",
       " 'var',\n",
       " 'view']"
      ]
     },
     "execution_count": 311,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A = np.array([3, 5 ,11])\n",
    "dir(A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "id": "90e4e2ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19"
      ]
     },
     "execution_count": 312,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf0ba70c",
   "metadata": {},
   "source": [
    "### Simple Linear Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "id": "ecaed86a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['crim', 'zn', 'indus', 'chas', 'nox', 'rm', 'age', 'dis', 'rad', 'tax',\n",
       "       'ptratio', 'lstat', 'medv'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 313,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Boston = load_data(\"Boston\")\n",
    "Boston.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "id": "6f466f60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>intercept</th>\n",
       "      <th>lstat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>9.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   intercept  lstat\n",
       "0        1.0   4.98\n",
       "1        1.0   9.14\n",
       "2        1.0   4.03\n",
       "3        1.0   2.94"
      ]
     },
     "execution_count": 314,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = pd.DataFrame({'intercept': np.ones(Boston.shape[0]),\n",
    "                  'lstat': Boston['lstat']})\n",
    "X[:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "id": "c80567cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      crim    zn  indus  chas    nox     rm   age     dis  rad  tax  ptratio  \\\n",
       "0  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296     15.3   \n",
       "1  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242     17.8   \n",
       "2  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2  242     17.8   \n",
       "3  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222     18.7   \n",
       "4  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3  222     18.7   \n",
       "\n",
       "   lstat  medv  \n",
       "0   4.98  24.0  \n",
       "1   9.14  21.6  \n",
       "2   4.03  34.7  \n",
       "3   2.94  33.4  \n",
       "4   5.33  36.2  "
      ]
     },
     "execution_count": 315,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Boston.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "id": "a53e795b",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = Boston['medv']\n",
    "model = sm.OLS\n",
    "results = model(y, X).fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "id": "c7c1f8bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>std err</th>\n",
       "      <th>t</th>\n",
       "      <th>P&gt;|t|</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>intercept</th>\n",
       "      <td>34.5538</td>\n",
       "      <td>0.563</td>\n",
       "      <td>61.415</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lstat</th>\n",
       "      <td>-0.9500</td>\n",
       "      <td>0.039</td>\n",
       "      <td>-24.528</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              coef  std err       t  P>|t|\n",
       "intercept  34.5538    0.563  61.415    0.0\n",
       "lstat      -0.9500    0.039 -24.528    0.0"
      ]
     },
     "execution_count": 317,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summarize(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "id": "72cc5fe0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>intercept</th>\n",
       "      <th>lstat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>9.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   intercept  lstat\n",
       "0        1.0   4.98\n",
       "1        1.0   9.14\n",
       "2        1.0   4.03\n",
       "3        1.0   2.94"
      ]
     },
     "execution_count": 318,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "design = MS(['lstat'])\n",
    "design = design.fit(Boston)\n",
    "X = design.transform(Boston)\n",
    "X[:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "id": "5e29fe78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>intercept</th>\n",
       "      <th>lstat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>9.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   intercept  lstat\n",
       "0        1.0   4.98\n",
       "1        1.0   9.14\n",
       "2        1.0   4.03\n",
       "3        1.0   2.94"
      ]
     },
     "execution_count": 319,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "design = MS(['lstat'])\n",
    "X = design.fit_transform(Boston)\n",
    "X[:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "id": "d31aac46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>          <td>medv</td>       <th>  R-squared:         </th> <td>   0.544</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.543</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   601.6</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Mon, 20 Jan 2025</td> <th>  Prob (F-statistic):</th> <td>5.08e-88</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>14:19:55</td>     <th>  Log-Likelihood:    </th> <td> -1641.5</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   506</td>      <th>  AIC:               </th> <td>   3287.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   504</td>      <th>  BIC:               </th> <td>   3295.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>intercept</th> <td>   34.5538</td> <td>    0.563</td> <td>   61.415</td> <td> 0.000</td> <td>   33.448</td> <td>   35.659</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>lstat</th>     <td>   -0.9500</td> <td>    0.039</td> <td>  -24.528</td> <td> 0.000</td> <td>   -1.026</td> <td>   -0.874</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>137.043</td> <th>  Durbin-Watson:     </th> <td>   0.892</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 291.373</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 1.453</td>  <th>  Prob(JB):          </th> <td>5.36e-64</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 5.319</td>  <th>  Cond. No.          </th> <td>    29.7</td>\n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/latex": [
       "\\begin{center}\n",
       "\\begin{tabular}{lclc}\n",
       "\\toprule\n",
       "\\textbf{Dep. Variable:}    &       medv       & \\textbf{  R-squared:         } &     0.544   \\\\\n",
       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.543   \\\\\n",
       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     601.6   \\\\\n",
       "\\textbf{Date:}             & Mon, 20 Jan 2025 & \\textbf{  Prob (F-statistic):} &  5.08e-88   \\\\\n",
       "\\textbf{Time:}             &     14:19:55     & \\textbf{  Log-Likelihood:    } &   -1641.5   \\\\\n",
       "\\textbf{No. Observations:} &         506      & \\textbf{  AIC:               } &     3287.   \\\\\n",
       "\\textbf{Df Residuals:}     &         504      & \\textbf{  BIC:               } &     3295.   \\\\\n",
       "\\textbf{Df Model:}         &           1      & \\textbf{                     } &             \\\\\n",
       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "\\begin{tabular}{lcccccc}\n",
       "                   & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
       "\\midrule\n",
       "\\textbf{intercept} &      34.5538  &        0.563     &    61.415  &         0.000        &       33.448    &       35.659     \\\\\n",
       "\\textbf{lstat}     &      -0.9500  &        0.039     &   -24.528  &         0.000        &       -1.026    &       -0.874     \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "\\begin{tabular}{lclc}\n",
       "\\textbf{Omnibus:}       & 137.043 & \\textbf{  Durbin-Watson:     } &    0.892  \\\\\n",
       "\\textbf{Prob(Omnibus):} &   0.000 & \\textbf{  Jarque-Bera (JB):  } &  291.373  \\\\\n",
       "\\textbf{Skew:}          &   1.453 & \\textbf{  Prob(JB):          } & 5.36e-64  \\\\\n",
       "\\textbf{Kurtosis:}      &   5.319 & \\textbf{  Cond. No.          } &     29.7  \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "%\\caption{OLS Regression Results}\n",
       "\\end{center}\n",
       "\n",
       "Notes: \\newline\n",
       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                   medv   R-squared:                       0.544\n",
       "Model:                            OLS   Adj. R-squared:                  0.543\n",
       "Method:                 Least Squares   F-statistic:                     601.6\n",
       "Date:                Mon, 20 Jan 2025   Prob (F-statistic):           5.08e-88\n",
       "Time:                        14:19:55   Log-Likelihood:                -1641.5\n",
       "No. Observations:                 506   AIC:                             3287.\n",
       "Df Residuals:                     504   BIC:                             3295.\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "intercept     34.5538      0.563     61.415      0.000      33.448      35.659\n",
       "lstat         -0.9500      0.039    -24.528      0.000      -1.026      -0.874\n",
       "==============================================================================\n",
       "Omnibus:                      137.043   Durbin-Watson:                   0.892\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              291.373\n",
       "Skew:                           1.453   Prob(JB):                     5.36e-64\n",
       "Kurtosis:                       5.319   Cond. No.                         29.7\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 320,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "id": "40e95333",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "intercept    34.553841\n",
       "lstat        -0.950049\n",
       "dtype: float64"
      ]
     },
     "execution_count": 321,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "id": "f814cbc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>intercept</th>\n",
       "      <th>lstat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   intercept  lstat\n",
       "0        1.0      5\n",
       "1        1.0     10\n",
       "2        1.0     15"
      ]
     },
     "execution_count": 322,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df = pd.DataFrame({'lstat': [5, 10, 15]})\n",
    "newX = design.transform(new_df)\n",
    "newX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "id": "6079d45f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([29.80359411, 25.05334734, 20.30310057])"
      ]
     },
     "execution_count": 323,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_predictions = results.get_prediction(newX)\n",
    "new_predictions.predicted_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "id": "bab63e1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[29.00741194, 30.59977628],\n",
       "       [24.47413202, 25.63256267],\n",
       "       [19.73158815, 20.87461299]])"
      ]
     },
     "execution_count": 324,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_predictions.conf_int(alpha=0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "id": "a2133d55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[17.56567478, 42.04151344],\n",
       "       [12.82762635, 37.27906833],\n",
       "       [ 8.0777421 , 32.52845905]])"
      ]
     },
     "execution_count": 325,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_predictions.conf_int(obs=True, alpha=0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "id": "0325b8ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "def abline(ax, b, m):\n",
    "    xlim = ax.get_xlim()\n",
    "    ylim = ax.get_ylim()\n",
    "    ax.plot(xlim, ylim)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "id": "ff0dd808",
   "metadata": {},
   "outputs": [],
   "source": [
    "def abline(ax, b, m, *args, **kwargs):\n",
    "    xlim = ax.get_xlim()\n",
    "    ylim = [m * xlim[0] + b, m * xlim[1] + b]\n",
    "    ax.plot(xlim, ylim, *args, **kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "id": "87b9187f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/0r/fyrm13815xg5dtcft5cgtlt00000gn/T/ipykernel_88301/1198889689.py:3: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  results.params[0],\n",
      "/var/folders/0r/fyrm13815xg5dtcft5cgtlt00000gn/T/ipykernel_88301/1198889689.py:4: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  results.params[1],\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = Boston.plot.scatter('lstat', 'medv')\n",
    "abline(ax,\n",
    "       results.params[0],\n",
    "       results.params[1],\n",
    "       'r--',\n",
    "       linewidth=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "id": "b034f111",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x30147f230>"
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = subplots(figsize=(8, 8))[1]\n",
    "ax.scatter(results.fittedvalues, results.resid)\n",
    "ax.set_xlabel('Fitted Values')\n",
    "ax.set_ylabel('Residuals')\n",
    "ax.axhline(0, c='k', ls='--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "id": "3653272e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "374"
      ]
     },
     "execution_count": 330,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "infl = results.get_influence()\n",
    "ax = subplots(figsize=(8, 8))[1]\n",
    "ax.scatter(np.arange(X.shape[0]), infl.hat_matrix_diag)\n",
    "ax.set_xlabel('Index')\n",
    "ax.set_ylabel('Leverage')\n",
    "np.argmax(infl.hat_matrix_diag)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f88cfc1",
   "metadata": {},
   "source": [
    "### Multiple Linear Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "id": "ec1d5f6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>std err</th>\n",
       "      <th>t</th>\n",
       "      <th>P&gt;|t|</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>intercept</th>\n",
       "      <td>33.2228</td>\n",
       "      <td>0.731</td>\n",
       "      <td>45.458</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lstat</th>\n",
       "      <td>-1.0321</td>\n",
       "      <td>0.048</td>\n",
       "      <td>-21.416</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>0.0345</td>\n",
       "      <td>0.012</td>\n",
       "      <td>2.826</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              coef  std err       t  P>|t|\n",
       "intercept  33.2228    0.731  45.458  0.000\n",
       "lstat      -1.0321    0.048 -21.416  0.000\n",
       "age         0.0345    0.012   2.826  0.005"
      ]
     },
     "execution_count": 331,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = MS(['lstat', 'age']).fit_transform(Boston)\n",
    "model1 = sm.OLS(y, X)\n",
    "results1 = model1.fit()\n",
    "summarize(results1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "id": "36e025f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['crim', 'zn', 'indus', 'chas', 'nox', 'rm', 'age', 'dis', 'rad', 'tax',\n",
       "       'ptratio', 'lstat'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 332,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "terms = Boston.columns.drop('medv')\n",
    "terms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "id": "73706e2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>std err</th>\n",
       "      <th>t</th>\n",
       "      <th>P&gt;|t|</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>intercept</th>\n",
       "      <td>41.6173</td>\n",
       "      <td>4.936</td>\n",
       "      <td>8.431</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>crim</th>\n",
       "      <td>-0.1214</td>\n",
       "      <td>0.033</td>\n",
       "      <td>-3.678</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zn</th>\n",
       "      <td>0.0470</td>\n",
       "      <td>0.014</td>\n",
       "      <td>3.384</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>indus</th>\n",
       "      <td>0.0135</td>\n",
       "      <td>0.062</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chas</th>\n",
       "      <td>2.8400</td>\n",
       "      <td>0.870</td>\n",
       "      <td>3.264</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nox</th>\n",
       "      <td>-18.7580</td>\n",
       "      <td>3.851</td>\n",
       "      <td>-4.870</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rm</th>\n",
       "      <td>3.6581</td>\n",
       "      <td>0.420</td>\n",
       "      <td>8.705</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>0.0036</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dis</th>\n",
       "      <td>-1.4908</td>\n",
       "      <td>0.202</td>\n",
       "      <td>-7.394</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rad</th>\n",
       "      <td>0.2894</td>\n",
       "      <td>0.067</td>\n",
       "      <td>4.325</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tax</th>\n",
       "      <td>-0.0127</td>\n",
       "      <td>0.004</td>\n",
       "      <td>-3.337</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ptratio</th>\n",
       "      <td>-0.9375</td>\n",
       "      <td>0.132</td>\n",
       "      <td>-7.091</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lstat</th>\n",
       "      <td>-0.5520</td>\n",
       "      <td>0.051</td>\n",
       "      <td>-10.897</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              coef  std err       t  P>|t|\n",
       "intercept  41.6173    4.936   8.431  0.000\n",
       "crim       -0.1214    0.033  -3.678  0.000\n",
       "zn          0.0470    0.014   3.384  0.001\n",
       "indus       0.0135    0.062   0.217  0.829\n",
       "chas        2.8400    0.870   3.264  0.001\n",
       "nox       -18.7580    3.851  -4.870  0.000\n",
       "rm          3.6581    0.420   8.705  0.000\n",
       "age         0.0036    0.013   0.271  0.787\n",
       "dis        -1.4908    0.202  -7.394  0.000\n",
       "rad         0.2894    0.067   4.325  0.000\n",
       "tax        -0.0127    0.004  -3.337  0.001\n",
       "ptratio    -0.9375    0.132  -7.091  0.000\n",
       "lstat      -0.5520    0.051 -10.897  0.000"
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = MS(terms).fit_transform(Boston)\n",
    "model = sm.OLS(y, X)\n",
    "results = model.fit()\n",
    "summarize(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "id": "d1eaec6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>std err</th>\n",
       "      <th>t</th>\n",
       "      <th>P&gt;|t|</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>intercept</th>\n",
       "      <td>41.5251</td>\n",
       "      <td>4.920</td>\n",
       "      <td>8.441</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>crim</th>\n",
       "      <td>-0.1214</td>\n",
       "      <td>0.033</td>\n",
       "      <td>-3.683</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zn</th>\n",
       "      <td>0.0465</td>\n",
       "      <td>0.014</td>\n",
       "      <td>3.379</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>indus</th>\n",
       "      <td>0.0135</td>\n",
       "      <td>0.062</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chas</th>\n",
       "      <td>2.8528</td>\n",
       "      <td>0.868</td>\n",
       "      <td>3.287</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nox</th>\n",
       "      <td>-18.4851</td>\n",
       "      <td>3.714</td>\n",
       "      <td>-4.978</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rm</th>\n",
       "      <td>3.6811</td>\n",
       "      <td>0.411</td>\n",
       "      <td>8.951</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dis</th>\n",
       "      <td>-1.5068</td>\n",
       "      <td>0.193</td>\n",
       "      <td>-7.825</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rad</th>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.067</td>\n",
       "      <td>4.322</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tax</th>\n",
       "      <td>-0.0127</td>\n",
       "      <td>0.004</td>\n",
       "      <td>-3.333</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ptratio</th>\n",
       "      <td>-0.9346</td>\n",
       "      <td>0.132</td>\n",
       "      <td>-7.099</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lstat</th>\n",
       "      <td>-0.5474</td>\n",
       "      <td>0.048</td>\n",
       "      <td>-11.483</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              coef  std err       t  P>|t|\n",
       "intercept  41.5251    4.920   8.441  0.000\n",
       "crim       -0.1214    0.033  -3.683  0.000\n",
       "zn          0.0465    0.014   3.379  0.001\n",
       "indus       0.0135    0.062   0.217  0.829\n",
       "chas        2.8528    0.868   3.287  0.001\n",
       "nox       -18.4851    3.714  -4.978  0.000\n",
       "rm          3.6811    0.411   8.951  0.000\n",
       "dis        -1.5068    0.193  -7.825  0.000\n",
       "rad         0.2879    0.067   4.322  0.000\n",
       "tax        -0.0127    0.004  -3.333  0.001\n",
       "ptratio    -0.9346    0.132  -7.099  0.000\n",
       "lstat      -0.5474    0.048 -11.483  0.000"
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "minus_age = Boston.columns.drop(['medv', 'age'])\n",
    "Xma = MS(minus_age).fit_transform(Boston)\n",
    "model1 = sm.OLS(y, Xma)\n",
    "summarize(model1.fit())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddc92068",
   "metadata": {},
   "source": [
    "### Multivariate Goodness of Fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "id": "7ab351b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>vif</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>crim</th>\n",
       "      <td>1.767486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zn</th>\n",
       "      <td>2.298459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>indus</th>\n",
       "      <td>3.987181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chas</th>\n",
       "      <td>1.071168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nox</th>\n",
       "      <td>4.369093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rm</th>\n",
       "      <td>1.912532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>3.088232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dis</th>\n",
       "      <td>3.954037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rad</th>\n",
       "      <td>7.445301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tax</th>\n",
       "      <td>9.002158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ptratio</th>\n",
       "      <td>1.797060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lstat</th>\n",
       "      <td>2.870777</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              vif\n",
       "crim     1.767486\n",
       "zn       2.298459\n",
       "indus    3.987181\n",
       "chas     1.071168\n",
       "nox      4.369093\n",
       "rm       1.912532\n",
       "age      3.088232\n",
       "dis      3.954037\n",
       "rad      7.445301\n",
       "tax      9.002158\n",
       "ptratio  1.797060\n",
       "lstat    2.870777"
      ]
     },
     "execution_count": 335,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vals = [VIF(X, i)\n",
    "        for i in range(1, X.shape[1])]\n",
    "vif = pd.DataFrame({'vif':vals},\n",
    "                   index=X.columns[1:])\n",
    "vif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "id": "ad61538f",
   "metadata": {},
   "outputs": [],
   "source": [
    "vals = []\n",
    "for i in range(1, X.values.shape[1]):\n",
    "    vals.append(VIF(X.values, i))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48cd8d95",
   "metadata": {},
   "source": [
    "### Interaction Terms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "id": "a6ad80a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>std err</th>\n",
       "      <th>t</th>\n",
       "      <th>P&gt;|t|</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>intercept</th>\n",
       "      <td>36.0885</td>\n",
       "      <td>1.470</td>\n",
       "      <td>24.553</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lstat</th>\n",
       "      <td>-1.3921</td>\n",
       "      <td>0.167</td>\n",
       "      <td>-8.313</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>-0.0007</td>\n",
       "      <td>0.020</td>\n",
       "      <td>-0.036</td>\n",
       "      <td>0.971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lstat:age</th>\n",
       "      <td>0.0042</td>\n",
       "      <td>0.002</td>\n",
       "      <td>2.244</td>\n",
       "      <td>0.025</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              coef  std err       t  P>|t|\n",
       "intercept  36.0885    1.470  24.553  0.000\n",
       "lstat      -1.3921    0.167  -8.313  0.000\n",
       "age        -0.0007    0.020  -0.036  0.971\n",
       "lstat:age   0.0042    0.002   2.244  0.025"
      ]
     },
     "execution_count": 337,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = MS(['lstat',\n",
    "       'age',\n",
    "       ('lstat', 'age')]).fit_transform(Boston)\n",
    "model2 = sm.OLS(y, X)\n",
    "summarize(model2.fit())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "280a0c46",
   "metadata": {},
   "source": [
    "### Non-Linear Transformations of the Predictors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "id": "f8a0547c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>std err</th>\n",
       "      <th>t</th>\n",
       "      <th>P&gt;|t|</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>intercept</th>\n",
       "      <td>17.7151</td>\n",
       "      <td>0.781</td>\n",
       "      <td>22.681</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>poly(lstat, degree=2)[0]</th>\n",
       "      <td>-179.2279</td>\n",
       "      <td>6.733</td>\n",
       "      <td>-26.620</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>poly(lstat, degree=2)[1]</th>\n",
       "      <td>72.9908</td>\n",
       "      <td>5.482</td>\n",
       "      <td>13.315</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>0.0703</td>\n",
       "      <td>0.011</td>\n",
       "      <td>6.471</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              coef  std err       t  P>|t|\n",
       "intercept                  17.7151    0.781  22.681    0.0\n",
       "poly(lstat, degree=2)[0] -179.2279    6.733 -26.620    0.0\n",
       "poly(lstat, degree=2)[1]   72.9908    5.482  13.315    0.0\n",
       "age                         0.0703    0.011   6.471    0.0"
      ]
     },
     "execution_count": 338,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = MS([poly('lstat', degree=2), 'age']).fit_transform(Boston)\n",
    "model3 = sm.OLS(y, X)\n",
    "results3 = model3.fit()\n",
    "summarize(results3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "id": "ad6b8bd0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>df_resid</th>\n",
       "      <th>ssr</th>\n",
       "      <th>df_diff</th>\n",
       "      <th>ss_diff</th>\n",
       "      <th>F</th>\n",
       "      <th>Pr(&gt;F)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>493.0</td>\n",
       "      <td>11349.418808</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>502.0</td>\n",
       "      <td>14165.613251</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-2816.194443</td>\n",
       "      <td>11.0889</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   df_resid           ssr  df_diff      ss_diff        F  Pr(>F)\n",
       "0     493.0  11349.418808      0.0          NaN      NaN     NaN\n",
       "1     502.0  14165.613251     -9.0 -2816.194443  11.0889     NaN"
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ANOVA(results, results3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "id": "afe2e1c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x3012baf90>"
      ]
     },
     "execution_count": 340,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = subplots(figsize=(8, 8))[1]\n",
    "ax.scatter(results3.fittedvalues, results3.resid)\n",
    "ax.set_xlabel('Fitted Values')\n",
    "ax.set_ylabel('Residuals')\n",
    "ax.axhline(0, c='k', ls='--')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adaa796c",
   "metadata": {},
   "source": [
    "### Qualitative Predictors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "id": "8430ba15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Sales', 'CompPrice', 'Income', 'Advertising', 'Population', 'Price',\n",
       "       'ShelveLoc', 'Age', 'Education', 'Urban', 'US'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Carsets = load_data(\"Carseats\")\n",
    "Carsets.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "id": "723ebd1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>std err</th>\n",
       "      <th>t</th>\n",
       "      <th>P&gt;|t|</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>intercept</th>\n",
       "      <td>6.5756</td>\n",
       "      <td>1.009</td>\n",
       "      <td>6.519</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CompPrice</th>\n",
       "      <td>0.0929</td>\n",
       "      <td>0.004</td>\n",
       "      <td>22.567</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income</th>\n",
       "      <td>0.0109</td>\n",
       "      <td>0.003</td>\n",
       "      <td>4.183</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Advertising</th>\n",
       "      <td>0.0702</td>\n",
       "      <td>0.023</td>\n",
       "      <td>3.107</td>\n",
       "      <td>0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Population</th>\n",
       "      <td>0.0002</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>-0.1008</td>\n",
       "      <td>0.007</td>\n",
       "      <td>-13.549</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ShelveLoc[Good]</th>\n",
       "      <td>4.8487</td>\n",
       "      <td>0.153</td>\n",
       "      <td>31.724</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ShelveLoc[Medium]</th>\n",
       "      <td>1.9533</td>\n",
       "      <td>0.126</td>\n",
       "      <td>15.531</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>-0.0579</td>\n",
       "      <td>0.016</td>\n",
       "      <td>-3.633</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Education</th>\n",
       "      <td>-0.0209</td>\n",
       "      <td>0.020</td>\n",
       "      <td>-1.063</td>\n",
       "      <td>0.288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Urban[Yes]</th>\n",
       "      <td>0.1402</td>\n",
       "      <td>0.112</td>\n",
       "      <td>1.247</td>\n",
       "      <td>0.213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>US[Yes]</th>\n",
       "      <td>-0.1576</td>\n",
       "      <td>0.149</td>\n",
       "      <td>-1.058</td>\n",
       "      <td>0.291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income:Advertising</th>\n",
       "      <td>0.0008</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2.698</td>\n",
       "      <td>0.007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price:Age</th>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.801</td>\n",
       "      <td>0.424</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      coef  std err       t  P>|t|\n",
       "intercept           6.5756    1.009   6.519  0.000\n",
       "CompPrice           0.0929    0.004  22.567  0.000\n",
       "Income              0.0109    0.003   4.183  0.000\n",
       "Advertising         0.0702    0.023   3.107  0.002\n",
       "Population          0.0002    0.000   0.433  0.665\n",
       "Price              -0.1008    0.007 -13.549  0.000\n",
       "ShelveLoc[Good]     4.8487    0.153  31.724  0.000\n",
       "ShelveLoc[Medium]   1.9533    0.126  15.531  0.000\n",
       "Age                -0.0579    0.016  -3.633  0.000\n",
       "Education          -0.0209    0.020  -1.063  0.288\n",
       "Urban[Yes]          0.1402    0.112   1.247  0.213\n",
       "US[Yes]            -0.1576    0.149  -1.058  0.291\n",
       "Income:Advertising  0.0008    0.000   2.698  0.007\n",
       "Price:Age           0.0001    0.000   0.801  0.424"
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "allvars = list(Carsets.columns.drop('Sales'))\n",
    "y = Carsets['Sales']\n",
    "final = allvars + [('Income', 'Advertising'),\n",
    "                   ('Price', 'Age')]\n",
    "X = MS(final).fit_transform(Carsets)\n",
    "model = sm.OLS(y, X)\n",
    "summarize(model.fit())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71c0bf56",
   "metadata": {},
   "source": [
    "### Exercises"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b533a485",
   "metadata": {},
   "source": [
    "1. Describe the null hypotheses to which the p-values given in Table 3.4 correspond. Explain what conclusions you can draw based on these p-values. Your explanation should be phrased in terms of sales, TV, radio, and newspaper, rather than in terms of the coefficients of the linear model. \n",
    "\n",
    "* Based o the P-values. It shows that TV and radio are much more effective in predicting future sales compared to newspapers.\n",
    "\n",
    "2. Carefully explain the differences between the KNN classifier and KNN regression methods. \n",
    "\n",
    "* A KNN classifier is focused around finding a categorical value. A good example of classification of spam and ham mail. For KNN regression, this is more focused on finding a specific value. For example, predicting the price of a house based on postcode, bedrooms, garage would be a regression model.\n",
    "\n",
    "3. Suppose we have a data set with five predictors, X1 = GPA, X2 = IQ, X3 = Level (1 for College and 0 for High School), X4 = Interac-tion between GPA and IQ, and X5 = Interaction between GPA and Level. The response is starting salary after graduation (in thousands of dollars). Suppose we use least squares to fit the model, and get:\n",
    "\n",
    "X1 = GPA\n",
    "x2 = IQ\n",
    "X3 = Level\n",
    "X4 = Interaction GPA-IQ\n",
    "X5 = Interaction between GPA and Level\n",
    "\n",
    "β0 = 50,\n",
    "β1 = 20,\n",
    "β2 = 0.07,\n",
    "β3 = 35,\n",
    "β4 = 0.01,\n",
    "β5 =−10.\n",
    "\n",
    "a) Which answer is correct, and why?\n",
    "\n",
    "i. For a fixed value of IQ and GPA, high school graduates earn\n",
    "more, on average, than college graduates.\n",
    "\n",
    "* False\n",
    "\n",
    "ii. For a fixed value of IQ and GPA, college graduates earn\n",
    "more, on average, than high school graduates.\n",
    "\n",
    "* True\n",
    "\n",
    "iii. For a fixed value of IQ and GPA, high school graduates earn\n",
    "more, on average, than college graduates provided that the\n",
    "GPA is high enough.\n",
    "\n",
    "* True\n",
    "\n",
    "iv. For a fixed value of IQ and GPA, college graduates earn\n",
    "more, on average, than high school graduates provided that\n",
    "the GPA is high enough.\n",
    "\n",
    "* False\n",
    "\n",
    "(b) Predict the salary of a college graduate with IQ of 110 and a GPA of 4.0.\n",
    "\n",
    "* 136,100\n",
    "\n",
    "(c) True or false: Since the coefficient for the GPA/IQ interaction term is very small, there is very little evidence of an interaction effect. Justify your answer.\n",
    "\n",
    "* The statement is false. The small size of the coefficient does not automatically imply that there is little evidence of an interaction effect. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f89ece8",
   "metadata": {},
   "source": [
    "### Applied"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "id": "4f311d74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['mpg', 'cylinders', 'displacement', 'horsepower', 'weight',\n",
       "       'acceleration', 'year', 'origin'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 343,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auto = load_data(\"Auto\")\n",
    "auto.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "id": "60395332",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>           <td>mpg</td>       <th>  R-squared:         </th> <td>   0.606</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.605</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   599.7</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Mon, 20 Jan 2025</td> <th>  Prob (F-statistic):</th> <td>7.03e-81</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>14:19:57</td>     <th>  Log-Likelihood:    </th> <td> -1178.7</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   392</td>      <th>  AIC:               </th> <td>   2361.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   390</td>      <th>  BIC:               </th> <td>   2369.</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "       <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>intercept</th>  <td>   39.9359</td> <td>    0.717</td> <td>   55.660</td> <td> 0.000</td> <td>   38.525</td> <td>   41.347</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>horsepower</th> <td>   -0.1578</td> <td>    0.006</td> <td>  -24.489</td> <td> 0.000</td> <td>   -0.171</td> <td>   -0.145</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>16.432</td> <th>  Durbin-Watson:     </th> <td>   0.920</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td>  17.305</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.492</td> <th>  Prob(JB):          </th> <td>0.000175</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 3.299</td> <th>  Cond. No.          </th> <td>    322.</td>\n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/latex": [
       "\\begin{center}\n",
       "\\begin{tabular}{lclc}\n",
       "\\toprule\n",
       "\\textbf{Dep. Variable:}    &       mpg        & \\textbf{  R-squared:         } &     0.606   \\\\\n",
       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     0.605   \\\\\n",
       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } &     599.7   \\\\\n",
       "\\textbf{Date:}             & Mon, 20 Jan 2025 & \\textbf{  Prob (F-statistic):} &  7.03e-81   \\\\\n",
       "\\textbf{Time:}             &     14:19:57     & \\textbf{  Log-Likelihood:    } &   -1178.7   \\\\\n",
       "\\textbf{No. Observations:} &         392      & \\textbf{  AIC:               } &     2361.   \\\\\n",
       "\\textbf{Df Residuals:}     &         390      & \\textbf{  BIC:               } &     2369.   \\\\\n",
       "\\textbf{Df Model:}         &           1      & \\textbf{                     } &             \\\\\n",
       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "\\begin{tabular}{lcccccc}\n",
       "                    & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
       "\\midrule\n",
       "\\textbf{intercept}  &      39.9359  &        0.717     &    55.660  &         0.000        &       38.525    &       41.347     \\\\\n",
       "\\textbf{horsepower} &      -0.1578  &        0.006     &   -24.489  &         0.000        &       -0.171    &       -0.145     \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "\\begin{tabular}{lclc}\n",
       "\\textbf{Omnibus:}       & 16.432 & \\textbf{  Durbin-Watson:     } &    0.920  \\\\\n",
       "\\textbf{Prob(Omnibus):} &  0.000 & \\textbf{  Jarque-Bera (JB):  } &   17.305  \\\\\n",
       "\\textbf{Skew:}          &  0.492 & \\textbf{  Prob(JB):          } & 0.000175  \\\\\n",
       "\\textbf{Kurtosis:}      &  3.299 & \\textbf{  Cond. No.          } &     322.  \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "%\\caption{OLS Regression Results}\n",
       "\\end{center}\n",
       "\n",
       "Notes: \\newline\n",
       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                    mpg   R-squared:                       0.606\n",
       "Model:                            OLS   Adj. R-squared:                  0.605\n",
       "Method:                 Least Squares   F-statistic:                     599.7\n",
       "Date:                Mon, 20 Jan 2025   Prob (F-statistic):           7.03e-81\n",
       "Time:                        14:19:57   Log-Likelihood:                -1178.7\n",
       "No. Observations:                 392   AIC:                             2361.\n",
       "Df Residuals:                     390   BIC:                             2369.\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "intercept     39.9359      0.717     55.660      0.000      38.525      41.347\n",
       "horsepower    -0.1578      0.006    -24.489      0.000      -0.171      -0.145\n",
       "==============================================================================\n",
       "Omnibus:                       16.432   Durbin-Watson:                   0.920\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               17.305\n",
       "Skew:                           0.492   Prob(JB):                     0.000175\n",
       "Kurtosis:                       3.299   Cond. No.                         322.\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 344,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = MS(['horsepower']).fit_transform(auto)\n",
    "model = sm.OLS(auto['mpg'], X)\n",
    "results = model.fit()\n",
    "results.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "id": "3683afc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OjhZCQ0OFpk2bCu+++65QXl7ucLuGFOD/+c9/HLYzpKi+ePGizee//fZboVOnTkK1atWEatWqCU2bNhXGjh0rHDt2zKzdvHnzhKSkJCE4OFi45557hN27d1udQ1spwAVBEI4cOSI88sgjQnR0tBASEiI0adJEeOONN8zavP3220K9evUEtVptlQ5czj7aY0gB7oijFOD2zq+lEydOCGPGjBEaNWokhISEGK/5888/Lxw6dEjUNoiIfEklCBz7JiIiIiIiMuCaJCIiIiIiIhMMkoiIiIiIiEwwSCIiIiIiIjLBIImIiIiIiMgEgyQiIiIiIiITDJKIiIiIiIhMVPpisjqdDufOnUNERARUKpWvu0NERERERD4iCAKuXLmCunXrQq22P15U6YOkc+fOoX79+r7uBhERERERKcTp06cRHx9v9/lKHyRFREQA0J+IyMhIH/eGiIiIiIh8paSkBPXr1zfGCPZU+iDJMMUuMjKSQRIRERERETldhsPEDURERERERCYYJBEREREREZlgkERERERERGSi0q9JIiIiIiLPEwQBFRUV0Gq1vu4KVWEajQYBAQFul/5hkEREREREbikvL0deXh5KS0t93RUihIWFIS4uDkFBQS5vg0ESEREREblMp9MhJycHGo0GdevWRVBQkNvf4hO5QhAElJeX4+LFi8jJyUHjxo0dFox1hEESEREREbmsvLwcOp0O9evXR1hYmK+7Q1VcaGgoAgMDcfLkSZSXlyMkJMSl7TBxAxERERG5zdVv7InkJsd7ke9mIiIiIiIiEwySiIiIiIiITDBIIiIiIiJSIJVKhXXr1nl0H4mJifj44489ug9/xCCJiIiIiKq0zMxMaDQa9O3bV/JrGWRUTgySiIiIiEgRtDoBmdkFWH/oLDKzC6DVCV7Z76JFi/Diiy9i9+7dOHfunFf2ScrGIIkUw1cfjEREROR7W47kodPMHRiSvhfjVx3CkPS96DRzB7YcyfPofq9evYqvv/4aY8aMQd++fbFkyRKrNhs2bECbNm0QEhKCmjVr4pFHHgEAdO3aFSdPnsTEiROhUqmM9aGmTZuGli1bmm3j448/RmJiovH3n3/+GT179kTNmjURFRWF++67DwcPHhTd788++wx169aFTqcze7x///4YNWoUACA7Oxv9+/dHnTp1EB4ejjZt2uD777+3u83c3FyoVCocOnTI+FhRURFUKhV27txpfOzIkSN48MEHER4ejjp16mDEiBG4dOmS8fnVq1ejefPmCA0NRY0aNdCjRw9cu3ZN9LEpAYMkUgRffTASERGR7205kocxyw4ir7jM7PH84jKMWXbQo/cD33zzDZo2bYomTZpg+PDhWLx4MQTh9he1mzZtwiOPPII+ffrg119/xfbt29G2bVsAwJo1axAfH4+33noLeXl5yMsT388rV67gySefxJ49e7B37140btwYffr0wZUrV0S9/tFHH0VBQQF++OEH42OFhYXYsmULhg0bBkAfAPbp0wfbt2/Hr7/+it69e6Nfv344deqU6H5aKioqQvfu3XH33Xfjl19+wZYtW3D+/Hk89thjAIC8vDwMGTIEo0aNwtGjR7Fz506kpaWZnVN/wGKy5HOGD0bLPx3DB+P84a3QOzXOJ30jIiIiz9LqBEzfkGV1HwAAAgAVgOkbstAzJRYatUr2/S9atAjDhw8HAPTu3RvFxcXYtWsXunbtCgB49913MXjwYEyfPt34mhYtWgAAYmJioNFoEBERgdjYWEn77d69u9nvn332GaKjo7Fr1y489NBDTl9fvXp1PPjgg1ixYgXuv/9+APoRnJo1a6Jbt27Gfhr6CgBvv/021q5di++++w7jxo2T1F+DuXPn4u6778Z7771nfGzx4sWoX78+/vrrL1y9ehUVFRVIS0tDQkICAKB58+Yu7cuXOJJEPuXsgxHQfzBy6h0REVHltD+n0GoEyZQAIK+4DPtzCmXf97Fjx7B//34MGTIEABAQEIDHH38cixYtMrY5dOiQMQiR0/nz5zF69Gg0btwYUVFRiIyMxNWrVyWN8gwbNgzffvstbty4AQBYvnw5Bg8ebCymevXqVbzyyito1qwZoqOjER4ejqNHj7o1kvTbb7/hhx9+QHh4uPGnadOmAPTT+1q0aIH7778fzZs3x6OPPor09HRcvnzZ5f35CkeSyKekfDB2SK7hvY4RERGRV1y4Yv8+wJV2UixatAgVFRWoW7eu8TFBEBAcHIy5c+ciKioKoaGhkrerVqutppfdvHnT7Pcnn3wSBQUFmDNnDhISEhAcHIwOHTqgvLxc9H769esHQRCwadMmtGnTBhkZGZg9e7bx+VdeeQXbtm3D//3f/6FRo0YIDQ3FoEGD7O7DEFyZ9t2y31evXkW/fv0wc+ZMq9fHxcVBo9Fg27Zt+Omnn/C///0Pn3zyCf71r39h3759SEpKEn1svsaRJPIpX34wEhERke/VjgiRtZ1YFRUV+Oqrr/Dhhx/i0KFDxp/ffvsNdevWxcqVKwEAd911F7Zv3253O0FBQdBqtWaP1apVC/n5+WbBhmkyBAD48ccf8dJLL6FPnz648847ERwcbJb8QIyQkBCkpaVh+fLlWLlyJZo0aYJWrVqZ7WPkyJF45JFH0Lx5c8TGxiI3N9fu9mrVqgUAZmurLPvdqlUr/PHHH0hMTESjRo3MfqpVqwZAX9+pY8eOmD59On799VcEBQVh7dq1ko7N1xgkkU/56oORiIiIlKFtUgziokJgb7WRCkBcVAjaJsXIut+NGzfi8uXLePrpp5Gammr2M3DgQOOUu6lTp2LlypWYOnUqjh49isOHD5uNoiQmJmL37t04e/asMcjp2rUrLl68iA8++ADZ2dn49NNP8d///tds/40bN8bSpUtx9OhR7Nu3D8OGDXNp1GrYsGHYtGkTFi9ebEzYYLqPNWvWGIO/oUOHWmXDMxUaGor27dvj/fffx9GjR7Fr1y68/vrrZm3Gjh2LwsJCDBkyBD///DOys7OxdetWPPXUU9Bqtdi3bx/ee+89/PLLLzh16hTWrFmDixcvolmzZpKPzZcYJJFP+eqDkYiIiJRBo1Zhar8UALC6HzD8PrVfiuxJGxYtWoQePXogKirK6rmBAwfil19+we+//46uXbviP//5D7777ju0bNkS3bt3x/79+41t33rrLeTm5iI5Odk4EtOsWTPMmzcPn376KVq0aIH9+/fjlVdesdr/5cuX0apVK4wYMQIvvfQSateuLfk4unfvjpiYGBw7dgxDhw41e+6jjz5C9erVce+996Jfv37o1auX2UiTLYsXL0ZFRQVat26NCRMm4J133jF7vm7duvjxxx+h1WrxwAMPoHnz5pgwYQKio6OhVqsRGRmJ3bt3o0+fPrjjjjvw+uuv48MPP8SDDz4o+dh8SSX4Wz4+iUpKShAVFYXi4mJERkb6ujtkgyG7HQCzBA6Gj0JmtyMiIlKusrIy5OTkICkpCSEhrs/82HIkD9M3ZJmtVY6LCsHUfim8DyBJHL0nxcYGTNxAPtc7NQ7zh7ey+mCM5QcjERFRldE7NQ49U2KxP6cQF66UoXaEfiaJJ9J+EznDIIkUgR+MREREpFGrmM2WFIFBEikGPxiJiIiISAmYuIGIiIiIiMgEgyQiIiIiIiITDJKIiIiIiIhMMEgiIiIiIiIywSCJiIiIiIjIBIMkIiIiIiIiEwySiIiIiIg8bOTIkRgwYIDx965du2LChAle78fOnTuhUqlQVFTksX3k5uZCpVLh0KFDHtuHpzFIIr+h1QnIzC7A+kNnkZldAK1O8HWXiIiIyI+NHDkSKpUKKpUKQUFBaNSoEd566y1UVFR4fN9r1qzB22+/LaqtNwIbMsdisuQXthzJw/QNWcgrLjM+FhcVgqn9UtA7Nc6HPSMiIiLZaLVARgaQlwfExQGdOwMajUd32bt3b3zxxRe4ceMGNm/ejLFjxyIwMBBTpkyxalteXo6goCBZ9hsTEyPLdsgzOJJEirflSB7GLDtoFiABQH5xGcYsO4gtR/J81DMiIiKSzZo1QGIi0K0bMHSo/t/ERP3jHhQcHIzY2FgkJCRgzJgx6NGjB7777jsAt6fIvfvuu6hbty6aNGkCADh9+jQee+wxREdHIyYmBv3790dubq5xm1qtFi+//DKio6NRo0YNTJo0CYJgPgPGcrrdjRs3MHnyZNSvXx/BwcFo1KgRFi1ahNzcXHTr1g0AUL16dahUKowcORIAoNPpMGPGDCQlJSE0NBQtWrTA6tWrzfazefNm3HHHHQgNDUW3bt3M+mnL0KFD8fjjj5s9dvPmTdSsWRNfffUVAGDLli3o1KmT8fgeeughZGdn293mkiVLEB0dbfbYunXroFKpzB5bv349WrVqhZCQEDRs2BDTp083juoJgoBp06ahQYMGCA4ORt26dfHSSy85PBZ3MEhSCE4ls02rEzB9QxZsnQ3DY9M3ZPF8ERER+bM1a4BBg4AzZ8wfP3tW/7iHAyVToaGhKC8vN/6+fft2HDt2DNu2bcPGjRtx8+ZN9OrVCxEREcjIyMCPP/6I8PBw9O7d2/i6Dz/8EEuWLMHixYuxZ88eFBYWYu3atQ73+8QTT2DlypX497//jaNHj2LhwoUIDw9H/fr18e233wIAjh07hry8PMyZMwcAMGPGDHz11VdYsGAB/vjjD0ycOBHDhw/Hrl27AOiDubS0NPTr1w+HDh3CM888g3/+858O+zFs2DBs2LABV69eNT62detWlJaW4pFHHgEAXLt2DS+//DJ++eUXbN++HWq1Go888gh0Op3Es31bRkYGnnjiCYwfPx5ZWVlYuHAhlixZgnfffRcA8O2332L27NlYuHAhjh8/jnXr1qF58+Yu788ZTrdTAE4ls29/TqHVCJIpAUBecRn25xSiQ3IN73WMiIiI5KHVAuPHA4KNLzwFAVCpgAkTgP79PTr1ThAEbN++HVu3bsWLL75ofLxatWr4/PPPjdPsli1bBp1Oh88//9w4EvLFF18gOjoaO3fuxAMPPICPP/4YU6ZMQVpaGgBgwYIF2Lp1q919//XXX/jmm2+wbds29OjRAwDQsGFD4/OGqXm1a9c2jsjcuHED7733Hr7//nt06NDB+Jo9e/Zg4cKFuO+++zB//nwkJyfjww8/BAA0adIEhw8fxsyZM+32pVevXqhWrRrWrl2LESNGAABWrFiBhx9+GBEREQCAgQMHmr1m8eLFqFWrFrKyspCamuroNNs1ffp0/POf/8STTz5pPJa3334bkyZNwtSpU3Hq1CnExsaiR48eCAwMRIMGDdC2bVuX9iUGR5J8jFPJHLtwxX6A5Eo7IiIiUpiMDOsRJFOCAJw+rW/nARs3bkR4eDhCQkLw4IMP4vHHH8e0adOMzzdv3txsHdJvv/2GEydOICIiAuHh4QgPD0dMTAzKysqQnZ2N4uJi5OXloV27dsbXBAQE4J577rHbh0OHDkGj0eC+++4T3e8TJ06gtLQUPXv2NPYjPDwcX331lXHq29GjR836AcAYUNkTEBCAxx57DMuXLwegHzVav349hg0bZmxz/PhxDBkyBA0bNkRkZCQSExMBAKdOnRLdf0u//fYb3nrrLbNjGT16NPLy8lBaWopHH30U169fR8OGDTF69GisXbvWowk2OJLkQ86mkqmgn0rWMyUWGrXKRqvb29mfU4gLV8pQOyIEbZNiHLb3J7UjQmRtR0RERAqTJ/ILYbHtJOrWrRvmz5+PoKAg1K1bFwEB5rfH1apVM/v96tWraN26tTGIMFWrVi2X+hAaGir5NYbpcJs2bUK9evXMngsODnapHwbDhg3DfffdhwsXLmDbtm0IDQ1F7969jc/369cPCQkJSE9PR926daHT6ZCammo2TdGUWq22WpN18+ZNq+OZPn26cfTNVEhICOrXr49jx47h+++/x7Zt2/DCCy9g1qxZ2LVrFwIDA906XlsYJPmQHFPJKvtUvbZJMYiLCkF+cZnNYFIFIDZKHxgSERGRH4oTeb8itp1E1apVQ6NGjUS3b9WqFb7++mvUrl0bkZGRNtvExcVh37596NKlCwCgoqICBw4cQKtWrWy2b968OXQ6HXbt2mWcbmfKMJKl1WqNj6WkpCA4OBinTp2yOwLVrFkzYxIKg7179zo9xnvvvRf169fH119/jf/+97949NFHjYFIQUEBjh07hvT0dHTu3BkAsGfPHofbq1WrFq5cuYJr164Zg07LGkqtWrXCsWPHHF6L0NBQ9OvXD/369cPYsWPRtGlTHD582O55dQen2/mQu1PJqsJUPY1ahan9UgDoAyJTht+n9kupNCNnREREVU7nzkB8vH7tkS0qFVC/vr6dAgwbNgw1a9ZE//79kZGRgZycHOzcuRMvvfQSztyaNjh+/Hi8//77WLduHf7880+88MILDmscJSYm4sknn8SoUaOwbt064za/+eYbAEBCQgJUKhU2btyIixcv4urVq4iIiMArr7yCiRMn4ssvv0R2djYOHjyITz75BF9++SUA4Pnnn8fx48fx6quv4tixY1ixYgWWLFki6jiHDh2KBQsWYNu2bWZT7apXr44aNWrgs88+w4kTJ7Bjxw68/PLLDrfVrl07hIWF4bXXXkN2drbNfrz55pv46quvMH36dPzxxx84evQoVq1ahddffx2APkPeokWLcOTIEfz9999YtmwZQkNDkZCQIOp4pGKQ5EPuTCWrSlnfeqfGYf7wVoiNMj8PsVEhmD+8VaUYMSMiIqqyNBrgVrY2q0DJ8PvHH3u8XpJYYWFh2L17Nxo0aIC0tDQ0a9YMTz/9NMrKyowjS//4xz8wYsQIPPnkk+jQoQMiIiKMmeHsmT9/PgYNGoQXXngBTZs2xejRo3Ht2jUAQL169YyJDerUqYNx48YBAN5++2288cYbmDFjBpo1a4bevXtj06ZNSEpKAgA0aNAA3377LdatW4cWLVpgwYIFeO+990Qd57Bhw5CVlYV69eqhY8eOxsfVajVWrVqFAwcOIDU1FRMnTsSsWbMcbismJgbLli3D5s2b0bx5c6xcudJs3RegTxixceNG/O9//0ObNm3Qvn17zJ492xgERUdHIz09HR07dsRdd92F77//Hhs2bECNGp5J3KUSLCcIVjIlJSWIiopCcXGx3SFRX9HqBHSaucPpVLI9k7tbjZRkZhdgSLrz4dKVo9tXmqxvlXntFRERkb8qKytDTk4OkpKSEBLixhrhNWv0We5MkzjUr68PkGysUyGyx9F7UmxswDVJPmSYSjZm2UGoALNAydlUsqqY9U2jVlWagI+IiIgspKXp03xnZOiTNMTF6afYKWQEiaoWBkk+ZphKNu27P5BfcsP4eJ3IYEx7+E67U8mY9Y2IiIgqHY0G6NrV170g4pok5bCXlsA2Q9Y3e61U0Ge5Y9Y3IiIiIiJpGCT5mCFDXX6J+bS48yWOM9Qx6xsRERERkWcwSPIhdzPUMesbERERKUUlzwVGfkSO9yLXJPmQHMVke6fGoWdKLLO+ERERkU8YioyWlpYiNDTUx70h0r8XgdvvTVcwSPIhuTLUMesbERER+YpGo0F0dDQuXLgAQF9HSGWvMCyRBwmCgNLSUly4cAHR0dHQuJEZkUGSD9UMD5a1HREREZEvxMbGAoAxUCLypejoaON70lUMknxJ7HRJTvElIiIiBVOpVIiLi0Pt2rVx8+ZNX3eHqrDAwEC3RpAMGCT50KVrN5w3ktCOiIiIyJc0Go0sN6hEvsbsdj7EgrBERERERMrDIMmHWBCWiIiIiEh5GCT5EAvCEhEREREpD4MkH2NBWCIiIiIiZWHiBgVgQVgiIiIiIuVgkKQQLAhLRERERKQMnG5HRERERERkgkESERERERGRCQZJREREREREJhgkERERERERmWDiBiKJtDqBmQiJiIiIKjEGSUQSbDmSh+kbspBXXGZ8LC4qBFP7pbCmFREREVElwel2RCJtOZKHMcsOmgVIAJBfXIYxyw5iy5E8H/WMiIiIiOTEIIlIBK1OwPQNWRBsPGd4bPqGLGh1tloQERERkT9hkEQkwv6cQqsRJFMCgLziMuzPKfRep4iIiIjIIxgkEYlw4Yr9AMmVdkRERESkXEzcQIqh5KxxtSNCZG1HRERERMrFIIkUQelZ49omxSAuKgT5xWU21yWpAMRG6QM7IiIiIvJvnG5HPucPWeM0ahWm9ksBoA+ITBl+n9ovRTEjX0RERETkOgZJ5FP+lDWud2oc5g9vhdgo8yl1sVEhmD+8lSJGvIiIiIjIfZxuRz4lJWtch+Qa3uuYHb1T49AzJVaxa6eIiIiIyH0Mksin/DFrnEatUkTARkRERESewel25FPMGkdERERESsMgiXzKkDXO3mQ1FfRZ7pg1joiIiIi8hUES+RSzxhERERGR0igmSHr//fehUqkwYcIE42NlZWUYO3YsatSogfDwcAwcOBDnz5/3XSfJI5g1joiIiIiURBGJG37++WcsXLgQd911l9njEydOxKZNm/Cf//wHUVFRGDduHNLS0vDjjz/6qKfkKcwaR0RERERK4fMg6erVqxg2bBjS09PxzjvvGB8vLi7GokWLsGLFCnTv3h0A8MUXX6BZs2bYu3cv2rdv76suk4cwaxwRERERKYHPp9uNHTsWffv2RY8ePcweP3DgAG7evGn2eNOmTdGgQQNkZmba3d6NGzdQUlJi9kNERERERCSWT0eSVq1ahYMHD+Lnn3+2ei4/Px9BQUGIjo42e7xOnTrIz8+3u80ZM2Zg+vTpcneViIiIiIiqCJ+NJJ0+fRrjx4/H8uXLERIiXw2cKVOmoLi42Phz+vRp2bZN/kOrE5CZXYD1h84iM7sAWp3g6y4RERERkZ/w2UjSgQMHcOHCBbRq1cr4mFarxe7duzF37lxs3boV5eXlKCoqMhtNOn/+PGJjY+1uNzg4GMHBwZ7sOincliN5mL4hC3nFZcbH4qJCMLVfCjPlEREREZFTPhtJuv/++3H48GEcOnTI+HPPPfdg2LBhxv8ODAzE9u3bja85duwYTp06hQ4dOviq26RwW47kYcyyg2YBEgDkF5dhzLKD2HIkz0c9IyIiIiJ/4bORpIiICKSmppo9Vq1aNdSoUcP4+NNPP42XX34ZMTExiIyMxIsvvogOHTows50XaXWC36Tl1uoETN+QBVsT6wToi9NO35CFnimxij0GIiIiIvI9n6cAd2T27NlQq9UYOHAgbty4gV69emHevHm+7laV4elpa3IHYPtzCq1GkEwJAPKKy7A/p5CpxomIiIjILpUgCJV6RXtJSQmioqJQXFyMyMhIX3fHbximrVm+OQwhzPzhrdwKlDwRgK0/dBbjVx1y2m7O4Jbo37KeS/sgIiIiIv8lNjbweZ0kUh5n09YA/bQ1VzPGeWrdUO0IcVkSxbYjIiIioqqJQRJZkTJtTSpPBmBtk2IQFxUCexP2VNCPVrVNipG8bSIiIiKqOhgkkZULV+wHSK60M+XJAEyjVmFqvxQAsAqUDL9P7ZfCpA1ERERE5BCDJLLiyWlrngzAAKB3ahzmD2+F2CjzvsVGhbi9joqIiIiIqgZFZ7cj3zBMW8svLrM5LU4FfdDhyrQ1b6wb6p0ah54psX6TupyIiIiIlIUjSWTFk9PWvLVuSKNWoUNyDfRvWQ8dkmswQCIiIiIi0RgkkU2emrbGdUNEREREpHSsk0QOOSv46mpBWE8XqiUiIiIisiQ2NuCaJHLIMG3NFqmBjmVAtevVbjhw8rLoAKu8Qoelmbk4WViKhJgwjOiQiKCAqjsY6mqASkRERESOcSSJXGIoCGv55jHcoltOyXN35GjG5iykZ+TAtHySWgWM7pyEKX1S3DgS/8SROCIiIiLpxMYGVfdreHKZ1IKwhoDKsj5SfnEZxiw7iC1H8hzub8bmLCzcbR4gAYBOABbuzsGMzVkuHol/cvd8EhEREZFjDJJIMrEFYfdmF+DH45fwz28Piw6oLJVX6JCekeOwP+kZOSiv0InrvJ+TGqASERERkXQMkkgysYVex644iGGL9qHo+k27bQwB1f6cQpvPL83MtRpBsqQT9O2qArEBqr3zSURERETOMUgiycQWenUUHFmyF3idLCwV9Xqx7fyd2ABVbDsiIiIissYgiSRzVhDWFfYCr4SYMFGvF9vO34kNUMW2IyIiIiJrDJJIMkcFYaVSQZ+VrW1SjM3nR3RIhLOs1moVMLRdAjKzC7D+0FlkZhdU2jU5zgJUZ+eTiIiIiJxjnSRySe/UOMwf3soqDXV0aKDoaXaGG/2p/VKgUats1v0JClBjdOckLNxtP3nD/c1qo/uHO6tEOmxDgDpm2UGoALMEDpbnk4iIiIhcwzpJ5BbLwEYnCBj2+T5RrzUNZJzV/bFXJ+n+ZrXxfdYF0fWaKgvWSSIiIiKSTmxswCCJZKXVCeg0cwfyi8tspqkG9KNNnw5rhfYNa0CjVtktTAvogx1DoFNeocPSzFycLCxF/ephuKN2OMZ/fcjuyJUKQGxUCPZM7l4pR1Zsjbx56ji9uS8iIiIiT2GQdAuDJO8zBD2A7elgpqM7hqDKUVrrOItAx9YoiiMrR7dHh+Qako+D9DhqRURERJWF2NiAiRtIdob1SrFR5hnWYqNCrKa/Oav7A5jX/TEEYGIDJIDpsN1h73znF5dhzLKD2HIkz0c9IyIiIvIcJm4gj+idGoeeKbFOp2jlF18Xtb384uvQ6gRM35BldxqfPUyH7RpH51uAfmRw+oYs9EyJ5dQ7IiIiqlQYJJHHaNQqp9PcCq+Vi9pW4bVyUaNOpgxrkpgO2zXOzreA26N8nM5IRERElQmn25FPxYQHi26XXyItQAKYDtsdYqcpcjojERERVTYcSSKfio0UNxXuVME1fJmZK367TCzgNrHTFDmdkYiIiCobBknkU22TYhAXFeJwWlf1sEDM/v64qO1FhwXi0yGt0D65BkeQ3GS4NvbSuXM6IxEREVVWnG5HbtHqBGRmF2D9obPIzC6AVictrYJGrcLUfilQ4fYUOQPD7zcqdE63Y3j9+2nN0bFxTQZIMjBcG8D+teF0RiIiIqqMWCeJHHJURFTO+jm2tqVWAWJjrhrVgvDuI6lm9ZdcLX5q+drWCdVx4ORlRRRSlfO4xL6WdZKIiIiosmAx2VsYJLnO0c0xAIxZdtBqGpatgrFiGW7iv8/Kx6IfcyW9dvZjLfBIq3in/XbWJzHBmq8CBLmPS8pxuBOcERERESkFg6RbGCS5xlBE1FYQJEC/9qeo9KbN1xrWquyZ3F3yjbRWJ6DTzB2SUn0DwMrR7dEhuYbDfgOOgzd7r7XkTiDoKk8cly+Og4iIiMiXxMYGXJNEVpwVEQVgN0AytDHUz5HKlVpIcbeSB4jp9/QNWTbXTUkpVOtsW464sobLU8flznEQERERVWbMbkdWpAYq9rhSP0fKayyTB2RmF7hc/FTqMbtSSNXVKW/uFHVlQVgiIiIi6TiSRFbkKg7qSv0cKa+JjQoxmyrmTvFTV49Z7OsMU94sA5b84jKMWXYQW47kub0Pd46LBWGJiIiIbuNIEllxtzioO/VznNXmAYDo0EB8OqwV2jc0r4XkTvFTV49ZzOucTXlTQT/lrWdKrM01XN44LhaEJSIiIrqNI0lkxRCo2Eu5oII+cYOj2kau1s9xVptHBeD9gc3RsZF1LSQx/Y6zE7w5e62UbVmSMuXNFk8el5TjICIiIqoqGCSRFTFFRN9Pa475w1shNsp8BMJyCpwreqfGubRtd4qfOnqtJamBoLtT3jx1XCwIS0RERGQbU4CTXWISDZRX6LA0MxcnC0uREBOGER0SERQgT+zti+KnnqiTlJldgCHpe522M6Qxl9I3b9VJIiIiIqoMWCfpFgZJ7nEUqCjpxtuyn60TquPAycsuFT+Vc1uG7XWaucPuOispdaXcKerqyYCWiIiIyB8wSLqFQZJnKKlAqZKCNXsM5wuA2Tnz1vnyh3NERERE5GksJkseo6QCpe6k1vYmV9dZycFfzhERERGRUjAFOEnmaoFSd6aK2eJuam1v650ah54psbKeA2f87RwRERERKQGDJJLMlWxtnpju5Wqw5ksatcqrffHHc0RERETka5xuR5JJLVDqqeleYoO1H09c9MrUPyVyN/04ERERUVXEIIkkk1KgVMr6Ja1OQGZ2AdYfOovM7AKngY3YYG3uD9noNHNHlVx7IzWgJSIiIiJOtyMXGAqUjll2ECrYztZmKFCamV0garrX3B0nsOrnU5Km4xmCNXuptU0ZRq28kXVP7rVX7nB2jgzpx9smxXi7a0RERESKxZEkconYbG1ip3HN/v4vydPxDMEaALujWgbeyrq35UgeOs3cgSHpezF+1SEMSd/r01EsR+fIMqAlIiIiIj3WSSK3OBs1ycwuwJD0vS5v316hVdP95l66hpX7TyG/5Iaoba4c3d4jSQqUVDvKEuskEREREYmPDTjdjtziLFublClxttjKvmbrhj82MgQPpsbiv0fynW7TE0kKlJ5qu3dqHLo3rYOlmbk4WViKhJgwjOiQiKAADiYTERERWWKQRB7lbP2S2MDJENjYG605X1ImKkACgJrhwSL3Kp7SU23bCiw/35PDkSQiIiIiG/g1Mnmco/VLE+5vLGobNcODUV6hw2trjzjMlCeKByaYKjnVtqdSsBMRERFVVhxJIq/onRqHnimxVuuX9mYXiHr9/pxCvLjyIAqv3XS7L1IDFTHZ6pSaalvp0wCJiIiIlIhBEnmNrfVLl66JS7YwZ/tx2fpReK1cdFuxCQ+Ummpb6dMAiYiIiJSI0+3Ip3xRxDRG5JokKdPUPJVqW2qBXUtSpgG6uy8iIiKiyoIjSeRT7ma/c0VspPPAzJVpaoa1V1aZ91xMtS1H2m6xQWjupWvoNHMHU4QTERERgXWSSAEMIzaA69nvDKoFaXCtXGv3+ephgfjl9Z5OR3TE1neyVXNJzBomZ+SquaTVCeg0c4fDaYDRYYG4XGq91ksJ9Z2IiIiI5CQ2NuB0O/I5R9nvJvYQl/2uRrUgzBvaCoFO6v5ITTnuSjvD2qv+LeuhQ3INl6bYORrFAvSjWGKmw4mZBmhvK1L3RURERFRZcLodKYK97HcAsOrn0w6n48VUC0TmlPtx4ORlFNkYETFVVHpTVJICX2arkzvZgqNpgIPbNMDs7/+SbV9ERERElQGDpEqovEKHpZm5OFlYioSYMIzokIggJyMsSmAr+x0Ah8VoAeC9R5ojKEAtW60irU6ATicgOjQQRddtB12ezFbniZpL9oLQjb+fk31fRERERP6OQVIlM2NzFtIzcmA6O+rdzUcxunMSpvRJ8V3H3CA2IYIcoz+2kiVYcidbnRieGsWyFYQqtb6TKTnWeBERERFJwSCpEjDcRH6ekY3tf160el4nAAt35wCAXwdKtkZCTG+W3a1VZC9ZgiVXs9WJ5c2aS0qt72QgR4Y/IiIiIqmUPwersigvBz7+GHjxRf2/5eILmjqy5UgeOs3cgSHpe20GSKbSM3JQXqGTZb++4Cwhgju1ihwlSzCIDg3E8mfaYc/k7h69QfdUzSVf70sqKXWqyP+xThcRESkJgyRvmDQJCAsDJk4E5s7V/xsWpn/cDfZuIu3RCcDSzFy39ql0jjLlOUpl7SxZAgAUXb8JtUrllYDB1eNQ+r7EkjPDHymf6Zc941cdwpD0veg0cwcDYSIi8hlOt/O0SZOAWbOsH9dqbz/+wQeSNytm5MOWk4Wlkvflb8RMzbPkiWQJ7nLlOPxhX2LIneGPlMveNFfDiCHrdBERkS8wSPKk8nLgo48ct/noI+Cdd/RB06uvAsePA40b6wOo0FC7LxMz8mFLQkyY5NcohZQF/PYy5dnbVs3wYFF9uHTlBrQ6wWvBg7Pj8Nd9OaPEoJXk52zEUAX9iGHPlFgm6yAiIq9ikORJ8+bpgx9HtFqgdWvgyJHbj/3vf8CnnwIdOwJjxwJxcUDnzoBGY2ziys2hWgWM6JAo+XVKIOcCflvbio0MRnRYIIpLbzocnXt701GkZ+Rg2sNMHOBJ/pB1j9zHEUMiIlIqrknypOxsce1MAyRTP/4IDB0KdOsGJCYCa9YYn3Ll5nB05yS/qJdkyZUF/PYWgdvb1vmSGyi6FSA5+746v6QMzzNxgEcZsu7ZuxYq6INkX2XdI3lwxJCIiJSKI0melJws37bOngUGDQJWrwbS0pymbjalVsFrdZLcqWlj67UAJE/H2XIkD9O+y0J+ielIUQjefKgZ3t501OG2osICERKgMXutPVPWHPb6NCB/rRkktd+GrHuOigj7KuseyYcjhkREpFQqQRAqdXqokpISREVFobi4GJGRkd7deXm5Poudsyl3YqlUQHw8kJMDaDTGURHA+iZSAHDfHbXQpXFNjOiQ6JURJHemxNl77eA29TH7++NO971ydHt0SK6BLUfy8Pytc+Kq5U+3Q1ZeCd7dfNR522faoWOjmm7tTyx/rRnkifeF0o+ZxNHqBHSaucNpna49k7szICYiIlmIjQ0YJHmavex27vjhB6BrVwDKuYm0l6HKcFvjKEOV2CKujswZ3BIP3VUXrd/ZhqLSm25sSb+t4+evYu4PJ5y2HdetEV7p1cSt/Ynhzvn1JTn67a+jZySOoy97AOW+t4mIyD+JjQ043c7TDOm9P/rIfERJowGaNwcOHZK+zbzba2F6p8ahZ4NwFA18HAG5OahITEL0t19DExnhXr8lcCdDlaupzC3VrBaMvX8XuB0gAfqpPcfPXxHZ2vPfMfhrBjC5+q2krHskP0OdLqtkKhwxJCIiH2KQ5A0ffKBP8z1vnj6ZQ3Iy8MIL+qApzIWU3HEmNw1t20Lz888w3kKe+BOIigTatAH275ej9065k6HK1VTmVlRAZnaBu5tAbFQIWidUx5GzxaJe06Gh56fa+WsGMH/tN3mf0up0ERERMUjylqAgYMIE68f79wfWrxe3DcOapM6d9b+3bQv8/LPttj//DNSpA0yZog/IgoJc6rYY7mSoyi++LlMfbsCdUR3DrdjDLeJw36wfRAVu0WGBaO+Fm3t/zQDmr/0m3+CIIRERKYn/5YOubNat0wdKzqhu3cZ//LF+qt7Vq/YDJIMLF4CJE/WjVYMHAytXAjt3ypdI4hZ3MlQVXiuXpQ9vb/wDGrXrb+fYqBA82yUJn+3OET2y9X5ac6980+2vGcD8td9EREREDJKUYN06oLRUXzj2gQeAXr3Mp9QB+hGkW+m/AQAjRojfvlYLfP213ZpL7nKnpk1MeLAsfSi8dhP/3n4cYUEa540tvNG3GXa92g3f/ZYnaiwqNjIYC7y4mNxfawb5a7+JiIiIGCQpRWgoMHcusHUrsGULcPq0PovdihX6f3NybgdIgPhCtbYYai7JFCgZatoA1oVYndW0iY0UP4ogZswmWGKqc7UKGNEhEQdOXpZnbZQHuHN+fclf+01ERETEIEmpNBp9mu8hQ/T/aixGSNwpVGvI+j5hgmxT7wwZqmKjzIOe2KgQhyl8DaMNjsRFhWDe0FaoXs3xuioBwOXSm5jYozFiI8WNUOkE4MDJy5LWxZwvuYExyw5iy5E8541l4ur59TV/7TcRERFVbayT5K+uXgUiZEjzbVJzSQ6u1LQRWydl9S+n8crq3532wVAzafa2v0TVOpozuCVqR4RgSPpep21N++aJIpfOzp/p8zXDgwEBuHTthuKzgbHWERERESkB6yRVduHhQJs2EG4lb3D5djNP3tEQVzJU9U6Nw7NdkpCekQPTkF2lAkZ3TkLv1DjM2JyFz3bniNpe7YgQaNQqdGxUU1SQZLhpj4sKQX5xmah1SZ5IXy2mMLDh/G45kodX/vObz4sIi8XMZURERORPON3Oj21ZvB6HYhu7txHLBBGWysv1GfVefFH/b7k82ehMbTmSh89250BnEZ3oBOCz3TkY/dXPWLg7R1TwEh0WaEwEICVxgKP1M47Ilb7aMJpmuS4qv7jMamqflLZEREREJB2DJD+l1QmYviELjzw5G83Gr8KWRu1wKTQSAkRWC1KpgPr1b9dcsmXSJH368IkT9UklDOnEJ02S6ShuH4e9PgsAtmVdEL090wBHauIAe+tnHLl05Qa0ltGdRI7OgeGx6RuyoNUJktoSERERkWsYJPmp/TmFxpGEspBwPD/wDdzz0gosbJsGncrJZbWsuWTLpEnArFnWiR20Wv3jMgVKpschh8ulN7E/p9D4u9TEAb1T47BncncsHdVW1IjS25uOotPMHW6N3jg7B6ZT+6S0JSIiIiLXcE2Sn7I3zev9bqPwf52H44lfN6NBUT661QtDwoE9wLlztxvFx+sDJNOU4qbKy4GPPnLcgY8+At55B7h+HejbFzh1CmjQANi0CYiKsvkSW4v35ZquZspym71T49AzJVZ04gCNWoUAjVrciBxuT3MzBF1SkxSIPQdSzpUnzisRERFRVcEgyU/VjrA/JawiIAiL2wwAADQZ3R4JidFARoY+SUNcnH6Knb0RJACYN895anCtFqhbFygouP3Y6dNAdLQ+PfkJ84QJ9pISDG7TwPF+XGDr3EhNHCAlyBCgn743fUMWdDoBb286KimhgqNr6Uo7qW2JiIiIyByn2/kpKUkJnNZcsiS2UK1pgGT5+thYYOdOQKt1mGjg4+//QnRYoOvZ+UyYHbObpAYZhmluL6z4VXJCBSnXUtJ1JyIiIiKXMEjyU1KTEkjiTqFag/PngW7dICQmYueMhQ4TDahwezTGlOrWT8+U2k535/YxW3AWjEjhLKGClGvp0etORERERAAYJPk1qUkJRHvhBeejTWKdOYP3VkzHzE0fI6DCOn24AH2yhYk9Gts9jvQn2uC5LklwdN/v9jFbcDUluD3OEipIuZYeu+5EREREBABQCYJQqXMFi62q68+kJgoQxZDdTkZaAFm1klBYLRq51ePwbtenUB4UCgCYM7glHrqrrsPjuFpWgYlf/4pTl68jPjoY9yTEIK/kBhJiwjCiQyKCAm7H/HKdE1trqdwx+/GWiI0MsdsvZ/02fb5mtWBABVy6ekO+605ERERUiYmNDXwaJM2fPx/z589Hbm4uAODOO+/Em2++iQcffBAAUFZWhn/84x9YtWoVbty4gV69emHevHmoU6eO6H1UhSDJYyZN0mexM03ioNEAdeqYZ8sTyXJKnQDgf43a4bmBb2Dl6PZomxRjN0CYsTkL6RnWBWcNTJMj2EsS4Sh5giOGwGRbVj4W/5gr+fWmYqoFovDaTZf6JfdxEREREVU1fhEkbdiwARqNBo0bN4YgCPjyyy8xa9Ys/Prrr7jzzjsxZswYbNq0CUuWLEFUVBTGjRsHtVqNH3/8UfQ+GCS5qbxcn+0uO1u/VumFF/Rpv6Oj3d604Y13tG5jlLw1A//Ij8DZK9YBxK+nLmPh7hyH2zIEX892ScJnu3Os1kAZnndnOtqWI3l4ftlBu89HhwWiuPSm6NThUvplSH7hieMy8MiIJBEREZGC+EWQZEtMTAxmzZqFQYMGoVatWlixYgUGDRoEAPjzzz/RrFkzZGZmon379qK2xyDJQxo1Ep8FT6T8kChElpciSFeB0sBg3P/EXFyqGQsAogIPFfR1cu2NNqmgX7ezZ3J3yTf/Wp2ATjN32J12pwIQdStIsuyvCo7776xfYvbt6nEZcJSKiIiIqgKxsYFiEjdotVqsWrUK165dQ4cOHXDgwAHcvHkTPXr0MLZp2rQpGjRogMzMTLvbuXHjBkpKSsx+yANOnJAnC56JOmXFCNPdRAAERN4sw/5Fz+DPDx4WPTIjwH6AZHjeUfIER/bnFDpclyQAKCq9iQk97rBKqBBTLcjhtp31S8y+XT0uAA5TtDtKXU5ERERUWfk8SDp8+DDCw8MRHByM559/HmvXrkVKSgry8/MRFBSEaItpXXXq1EF+fr7d7c2YMQNRUVHGn/r163v4CKqwEyeAoiKgY0cgRl+Xx51hSVtjIEGCDsdn9kP7U79DrXNS4FakH09ctJmK2xGxxWUTa4Zhz+TuWDm6PeYMbomVo9vj9b7N3NqH2H1LKYBroNUJmL4hy2GKdnupy4mIiIgqqwBfd6BJkyY4dOgQiouLsXr1ajz55JPYtWuXy9ubMmUKXn75ZePvJSUlDJQ8KSoK2LNH/99r1qB8zFgEX7AfxEphCJoCIWDVyteQFxCGGhVlCIAON9QadBvxKfJj4yVvd+4P2fj24FlJU8nEFpetHRECjVqFDsk1jI9lZtspuityH1L2LZWUUSrTYyIiIiKqzHw+khQUFIRGjRqhdevWmDFjBlq0aIE5c+YgNjYW5eXlKCoqMmt//vx5xMbG2t1ecHAwIiMjzX7IS9LSsGXzPqxv2hkC3BtVsiW2ohRB0EENIFSnReaXz+PEzIfM2ohdkSN1Kpmz4rIq6NfwtE2KkfW1crzeEU+OUhERERH5K58HSZZ0Oh1u3LiB1q1bIzAwENu3bzc+d+zYMZw6dQodOnTwYQ/JkdrR1TC+/2QsbJsGncr87eVu0GQrSNAAyJ75EMKvFgEAwoI1dtva6ovYqWSOissafp/aL8Vm4gR3XivH6x3x5CgVERERkb/yaXa7KVOm4MEHH0SDBg1w5coVrFixAjNnzsTWrVvRs2dPjBkzBps3b8aSJUsQGRmJF198EQDw008/id4Hs9t5lyETW35xGTQV5Xji181oUJSPdicPo2nBSdEjPVIJAEoDgvBL/J2Iat4M41sPwcnr4va2cnR70VPJ3MkC524GOU9koDO9XrY+COTInEdERESkFH6RAvzpp5/G9u3bkZeXh6ioKNx1112YPHkyevbsCeB2MdmVK1eaFZN1NN3Okr8GSVJq1iitvo0hWxpgPnoUXH4dr+38Ao+U5iLyWJas+7RVqPaXlp3xaK/JTl87Z3BL9G9Zz+7zlue3dUJ1HDh52e75dnQ9pF4ry/Yt60djxb6TOFlYioSYMIzokIigAPcGhO1dLzlrMBEREREpgV8ESd7gj0GSlBEDpda3cdqvNWuA8eOBM2eMz1sGOu4QTP51luTB0UiS1PMr5/WwtS21RR0oua61Ut9HRERERHJikHSLvwVJhm/1LS+KrW/1pbT1BaejJlotkJEB5OUBw4cDOp3H+iIA0AHIi6iJcxG1MHLgG7geFulwKpnU8yvn9bC3LUtyXmuljUhWJTz3RERE3sEg6RZ/CpIM60PspWQ2XR8CQHRbv7nZOnUKuPNO4No1QOa3pa3peDnRcfgr44DN4ELKtdCoVZLbO+JsW+5sm5SHo3hERETeIzY2UFx2u6pMSs0aKW39RoMGwJUr+hGlb78F4qXXQLLHVuiQVJSH3nfVA5o3BwrNz5PU8yvn9XC2LXe2TcpiGDG0vN5SU9QTERGRvBgkKYiUmjWVvr5NWhqQmwv88AOwYoXsm1fd+oEgAEeOADVqACYJQaSeXzmvh6vXzG+vdRWl1QmYviHL5pRKqSnqiYiISF4MkhRESs2aKlHfRqMBunYFhgzRBzPHj3t2f+fPGwMlqedXzuvh6jVz91prdQIyswuw/tBZZGYX8ObcwyrlaDAREVElEeDrDtBtbZNiEBcV4rRmTdukGACQ1LZSaNRIHyzFxuoDGk84fx44exZtP3wPq7btw7GIOni361MoDwo1a2Z5fqVeO0ecbcudbdvDdTHeV+lHg4mIiPwYR5IURKNWYWq/FADWa2gMv0/tlwKNWiWpbaWTnw8UFACpqUBMDBAeLu/24+OhmT8P7U8cwJO/bsax2Y9i4bdvG5+2dX7lvB6OtmVJjmvNdTG+USVGg4mIiPwUgySF6Z0ah/nDWyE2yvzGKDYqxCrNs5S2lU5MDHD4sD5YunIFKC0Fxo4FoJ+mJPdEsQdO7MPfMx/CXzP74Z4r52yeXzHXQ+yUNnvbsoyD3L3WXBfjO4YRQ3uhrQr60bxKNRpMRETkJ5gCXKGk1E1hjRULajUEQbBK+S1noVoVoM+Kl5wMLF1qNpplej1qVgsGVMClqzeQe+kaVuw7hfNXbhjbxkaGYNrD9qe0WV7b1gnVceDkZZvX2tn7wNbz+3MKMSR9r9NjXv5MO6hVKr7HZGYYxQPMA3ul1DojIiKqbFgn6RZ/DZLITSdOACkpwM2bsm/aZsDVpg2wf7/ZQ7bW+dizwM2bYWdriuw9/2BqLBb/mOt0+9GhgSi6fvtc+ut6JSV+ocD1YERERN7DIOkWBkkEACguBvr2BTIz9XWYPKFhQ2DRIqBzZ2w5egFjlh0UPe2velggfnm9p0s37IbRCMt9Gbb0bJckfLY7x+bzrv7x++NIh5KDESUGb0RERJURg6RbGCSRFU9mxwMgxMUh/9pNBJXfwIVq1fHo4PdwNTza6euWP9MOHRvVlLQvrU5Ap5k7HI5WqVWAvSVF7gZKsVEh2DO5u+Jv6J0Fkv4U7BEREZHrxMYGTNxAVY9ldrzUVODMGfm2n5eHuJJLqFF2Bc0KTuHwp8Ox95PhTl+WmV0geVfOau0A9gMkwL0EF47q+Cip5hKTUxAREZFUrJNEVZMhO56p/v2B9evd3rStMZU6pUU4/NEg3P3SClQEBNl5pfSbdCXU0LHsg9KmtUkp2tohuYb3OkZERESKxSCJyGDdOmDAAFkCJVOGoCniZhmOfTgQVwNDoIaAwtBI9Bv2fyiJ1Kd47tBQ2lQ7QBk1dEz7YG9am6Hmki+mtbFoKxEREUnF6XZUJYie/rVuHVBaCu3zY6CD/DWX1BAQdfM6Im6WIaHkAn6b/wR+nf0YwoI0aC9iFMPyOFonVHdYawfQr0lyVIvHVZZ1fMROayuv0Hl1Kh6LthIREZFUHEmiSk/y9K/QUGjmz8OMfuMwqe+dVt8kuFNzydbrostL8eu7/YDoD4BxY4Eg29Px7B3Hwy3i8NnuHKskDIZ9je6c5PD5u+Ij8fuZEqf9tvXaqf1SjEkbxE5raz9jOwqvlZsdgyen4hmKtuYXl9kM4AwJKFi0lYiIiAw4kkRuUdICfVsM078sb94N07+2HMmz+9opfVLwwaY/cN/wuSiHCjoAWpn7p7r1E6yrgOYfLwOhocDgwcDKlcDOndDerEBmdgHe2vAHnrdzHJ/tzsGzXZJQJzLY7Lk6kcGYP7wVpvRJwfzhrVA7wjz4qh2hf/67cZ3RM6W2zf71TKmNBcNbITbKfJQlNirEauqc2OlqpgGS4RicXQt3aNQqTO2XAsA6SLUV7BERERFxJIlcprQF+pacTf9SQT/9q2dKrN0b5Cl9UvCPB5pi6bMP4mRhKRJiwjCieU0EPfUkcPAgcOqUvJ3W6YCvv9b/ALgUWRNLuj+LrU3utdnccBxf/3IGIQEai2dvH9O8nSdw/op5cHL+yg3M23kCvVPj0LBmNatU4WoV0LBmNfROjUPPlFindXxcna4m9lq4o3dqHOYPb2X1fo1V0PuViIiIlIN1ksgl/lB3JjO7AEPS9zptt3J0e9ezmq1ZA4wfL28KcRM66M/pmYha+KNOQ0zoOxFlIeGiXmu4Fg1qhOJkwXW77WqFB+Hi1XK7zz/XJQlT+qQ43Z+hZpO9aW1iuHUtRFBq0Val9ouIiKiyERsbcCSJJJNjhMYbvJLVLC1Nnzo8IwPIywPGjgUuX3Z9exYM82HrX7mI+lcu4uicwShTB6I0KMRpoVrDtXAUIAFwGCABQHpGDv7xQFMEBTienWuY1jZm2UGXi9R6OsOcRq1SXJpvpY/IEhERVUVck0SSSak740tey2qm0QBduwJDhgCFhfpCtTU8dyMeqrspulCtHMPEOgFYmpkrqq1hWpvlGqaYaoGiXu/pDHNKW0Pnzpo5IiIi8hyOJJFk/lJ3xllWMwCIDguETidAqxPkG/WKiQEuXQImTQI++gjQ3k734E5mPNh5bZ3SIpyY+RDajl6MwhjbCRjcdbKwVHRbW2uYWidUx32zfvBphjmljdj4y4gsERFRVcSRJJLMX+rOOMpqZlBUehPDFu1Dp5k75P/W/oMPgNJSYPZsYNw4IET+82HIjhcA4ED6KBydNUD2fQBAQkyYpPaGaW39W9ZDh+QaCApQ+zTDnBJHbPxlRJaIiKgqYpBEkhlGaBwVKI1TSN0Ze9O/LHnsZjkoCJgwAfjkE+D6daguXAASE4FAcdPPpArRVeDvmQ/hm6WvIqy0xK1RKwO1ChjRIdHt7di7FrbSictJbJFbb0+985cRWSIioqqI0+1IMkcL9JVYd8Yw/Wvv3wUYu/wgiq7ftGrjtelNtWoBOTn6/7YxHc8dKpN/2547ij8+GYqCkAhsb9ENx6rVxld390FFgHWh2siQAJSUVdjd7ujOSU6TNoglNp24nKSM2HgzqYO/jMgSERFVRRxJIpf4alTAVRq1CmqVymaAZOD16U2W0/GeegqoV0/WXdQsu4LH932HN3d8jmMfDcI/f1hs1aZacABGd06CZZyiVolP/y2F5VQ8TwfTSh2x8acRWSIioqqGI0leUl6hw9LM3NsFSTskyvbtvK94e1TAUS0Zy+daJ1THgZOXzdq6erMs9dqZ9qVmtWBABVy6esNuvzQTJpi8WKtPJ/7008Dff7uV6MHydWpBh+f2r8Gz+9dAAPDgwA/wV6MU5BWXoXvTOni5ZxO8tzkLuQWlSKwRhtf6pCA0SGN1THaPQyEjh5aUMmJj6/3rTyOyREREVQmLyXrBjM1ZSM/IgemSB7VKP41J7m/pKytHmckAWD2nVsHsfMdFhWBwm/qY/f1xp/syLWgq9drZ6qcpW/2ym12tbVvg55/NHnI3O57ltnQAJvZ7Ffe0b4aFQj2cvXJ7pE3q+VVqXR9nRW4NmfX2TO7u0cQRUt6/Sj6fRERE/kxsbMAgycNmbM7Cwt05dp/3xHSmysaQmczyjSqlYKmhbXRYIIpLb4q6WZZ67ez101m/ANifonj1KjBiBEr+OIbA7OMI0VXIGiSZbutcRE1Mv/9ZbG1yr7FvUs4v4OA4fMxwbQDbIzae7Lej969h395ep0VERFRViY0NJM33ys7OxqhRo4y/N2jQADExMcafWrVq4dixY673upIpr9AhPcP+TTYApGfkoLxC56Ue+R8xmcnEsAwInKWhlnrtHPXTWb8AB9nVwsOBtWsR+VcWdv12Cg+89g20t17n7rcblucg9solLFj3Hv6e+RCyZz6EJsePiN6WL7PEiaH0zHoAvLpOi4iIiByTFCR98sknqFOnjvH3y5cvY8qUKZg9ezZmz56NNm3aYPbs2bJ30l8tzcyFs/tFnaBvR7Y5y0wmhQB9XaQJPe5werMs9dq500+xCSN6p8Zhy9uDsP/EJWgDrbPUuUsNfeCkBqAB8N81/0T2zIfQ/tTvUOucZ+BTel2f3qlx2DO5O1aObo85g1ti5ej22DO5u0dHvlgLiYiIyD9JStywfft2LFq0yOyxgQMHomHDhgCAxMREPPPMM/L1zs+dLCyVtV1V5ImMY4k1w7BncneH05ukXjs5+ilmG4bMcCi/AZw9CzRvDly+7Pa+bVFBHyytWvma1VQ8R2wdh6OkG95kPH9eotTMekREROSYpCApNzcXdevWNf7+zDPPICoqyvh7YmIizpw5I1/v/FxCTJis7aoiT2Qcqx0R4vRmWcq10+oEXLpyQ5Z+SVKvHlB4awSiUSMgO9vtPthjmIp3NTAEZyJr49HB7+FqeLTNtpbH4ShpgRLXL8nJ1cx6SgkqiYiIqipJQZJarca5c+cQHx8PAFZT686fP4/AwED5eufnRnRIxLubjzqctqVW6duRbYZaMvYyk0lhSMwgpu6M2GtXOzIEnWbucGtKoJR+2XXiBFBcDPTtC5w6pU8lfu6c69uzYJiXG3GzDM0KTuHwp8NxOSQc03qOwYXw6tgffycEtcbqOOwlLcgvLsOYZQcVm+hBLs7ev7aufVUOKomIiJRC0pqkO++8E99//73d57du3YrU1FS3O1VZBAWoMbpzksM2ozsn+X29JE/SqFXGNMn2ki3Yes6S1LozYq7d/c1q46WVv7odIEnpl0NRUcCePfog6exZ4MYNfaFaD4kpu4p/b5iFVStfw54FT6PXsZ/MjkNs0gIlJnqQi5j3r+k5MwSVlu8pQ1C55Uieh3tMREREgMQg6amnnsK7776LTZs2WT23YcMGvP/++3jqqadk61xlMKVPCp7rkgTL+1+1ium/xXKUmWzB8FZYYOM5y/PtShYzR9dudOdEHDlbInl0S45+iRYUBEyYANzK8m/ZV3dCE1uZ8eavew+9F30A7NwJaLVMWnCL2Mx6DCqJiIiUQ3KdpCFDhuDrr79G06ZN0aRJEwDAsWPHcOzYMQwcOBDffPONRzrqKl/XSTIor9BhaWYuThaWIiEmDCM6JHIESSJH6zQsn2udUB0HTl62+7uUNR7Xy7V4b3MWcgtKkVgjDK/1ScGh00UYkr7X6Wv/1acZUupG4tLVG6gdEYKW9aOxYt9J4/tgaLsEHDpd5JG1J6bnJPdSKfYt24ylX04w1j+6pA5BHZ1nEgYI1WOgu1wIFYAKqNB92Cc4E59os+2cwS3Rv2U9j/TDk6SuG3L2/l3yYw7e3nTU6X5Nix0TERGRNB4tJrtq1SqsXLkSx48fBwA0btwYQ4YMweDBg13vsYcoJUgi33FnjYe91/ZJjcWiH3Od7ts0ALC1LbUKZuue5Fp7YmtfltQ6Ldqe+QPLV75mHFL2VKFaAYAOQPLkjVZt/fGmX851Q2KulSl/DSqJiIiUwKNBkj9hkFS12UscYLiBdzTVzdFrxf7RGAIAe9uyJKZfzojdl6nsmQ8Z6yR5gmDy79K7++Ddrk/hZlAoYqNCsGdyd7/K3ObOe0rsthzxx6CSiIhIKcTGBpLme+l0OsycORMdO3ZEmzZt8M9//hPXr193u7NEnuDOGg8xr1Wr7AcVKuhHFtomxTjcltR+OSNlX6aSJ29En7T3oYV+xEduKtwuVPvkr5txbPajWPDt2/IkrPAiOdcNSb1Wpu8pIiIi8ixJQdK7776L1157DeHh4ahXrx7mzJmDsWPHeqpvRG5xJ3GAs9cC+mlyltPKAOusZWK2JbZfzkjdl6mie+7BtsPnoBYEoKICfyxbh+KgMAhwL8mDPQ+c2IfedzfQZ+LzE3Imo5ByrWTNgkhEREROSQqSvvrqK8ybNw9bt27FunXrsGHDBixfvhw6nSe+eyZ/oNUJyMwuwPpDZ5GZXaCozFsXroi7AbXVTuxrR3VMdJq1TOy2XO2Du68BgDf6NsOeyd1vTxPTaHDiznvQYuI3OB8WbdVejppVKgCoqADi44GAAODFF4GPPwbKy93cuue4855ydVuAh7MgEhERkRVJxWRPnTqFPn36GH/v0aMHVCqVWYFZqjqUXvSydkSI80Z22ol9bc+UWPyrb4rDLGdit+VqH9x9TVxUCEZ2TLIaoTBsq/2LyxB+tQj/WfUaal+7jNKAYATcLEfcjRLJ+7JLqwXmztX/9yuvAC+/DHzwgXzbl4k77ylXt/VG32Y2rw8RERF5jqQgqaKiAiEh5v9jDwwMxM2bN2XtFCmfvQXnhqKXSvjWu21SDOKiQpBfXGZz5EMF/Tf0ttZ4SHmtRq1yuJDe2bak9MsZqfsCgIdbxEGjVtlMo27Y1tXwaDz4zDzjawyZ8fqf/AWDf1ojb8IHrRaYNUv/3woLlNx5T7m6LQZIRERE3idpup0gCBg5ciTS0tKMP2VlZXj++efNHqPKzV+KXmrUKkztpy/W62zdkJyvlbItS+6uPZGyL4PvfsvD5t/z0GnmDgxJ34vxqw5hSPpe3DfrBzzcIs7mtgS1Bvsa3IXqC+dC9e23+ilzps9L7rkNH32kn3p34ACgUt3+OXBAjq27xFvvC3feB0qeAktEROQvJKUAHzlyJFQq5//D/uKLL9zqlJyYAlx+mdkFogqpKiVVsSfqJMlVD8eXdZKcMfylP9slCd/9luf4HGi1QEYGkJcH7dChHk0nbuTD6gWefl8oYVtERESVEesk3cIgSX7rD53F+FWHnLZTUtFLy6lkluuGHLlersV7m7OQW1CKxBpheK1PCkKDNLL0o2X9aKzYdxInC0uREBOGER0SERQgaYDX4b5mb/sLc3844fI2DFO+dvyjq6R+Xj34O0LuaQm1IBiDJY8ETT78+Cqv0GFpZq4s186d96eBnPWbiIiIKiuPBEmjRo1y2kalUmHRokViN+lxDJLk528jSe6YsTkL6Rk5ZqM9ahUwunMSpvRJcWvb3vjWX+y1ciamWhAKr93OOueon5bnbOG3b+OBE/s8EyT98gvQsqVxFAtxcUDnzoDGtSBWLKWN2Gh1AjrN3GF35NAQ7Ppb4V4iIiK5eSRIUqvVSEhIwN133w1HL1u7dq203noQgyT5GW7InC049/cbshmbs7Bwd47d55/r4nqgJMe3/mJGH5xdK1fZ66e9cxZUfh1Zsx+D5lYvZH1XxMcDZ86Y/z5nDuCh9ZFKHLGpSl9cEBERuUNsbCBpbsiYMWNQXFyMnJwcdOvWDYsWLcLatWutfqhy89SCcyUpr9AhPcN+gAQA6Rk5KK+QXiNMjsQXW45YJ1roNHMHthzJM2sn5lq5wlY/HZ2z8qBQNJq8AWVq64SabgdvpgGS4feBA4G33tKvlZKRUpOWyFm/iYiIiCQGSZ9++iny8vIwadIkbNiwAfXr18djjz2GrVu3OhxZosqnd2oc5g9v5bSQqr9ampkLZ/e5OkHfTqr9OYUOEyoIAPKKy7A/p9Dm84aRDMttGNKvWwZKjq7Vi90bSe6/vX6KOWfNXl2H1qMXozC4GspVGlxXB8AqzJRrqtzUqUBiIrBmjTzbg/vXzlPkrN9EREREEuskAUBwcDCGDBmCIUOG4OTJk1iyZAleeOEFVFRU4I8//kB4eLgn+kkK1Ds1Dj1TYt1ecK5EJwtLZW1nyp1v/Z2NZKigH8nomRJrdh3sXavZ245J7r+9foo9F4UxtdFqwtfG3wMqyvHEr5vRoCgfoU0a4/El7wOHD0O45x4Atke8BDuPWzlzBhg0CFi9Wpbpd0odsZGzfhMRERG5ECSZUqvVUKlUEAQBWpmntZB/cFZI1V8lxITJ2s6UO9/6SxnJsLwutq+V+wGtoZ+unAsAqAgIwuI2AwAAj7Ssi8eDgqC9uxUA/VC3ZUDk0pj1hAlA//5ATg6QkgLcvAkEBgJZWUAj8aNpSh2xMUyrHLPsIFQwP0eVZQosERGRN0nOV3vjxg2sXLkSPXv2xB133IHDhw9j7ty5OHXqFEeRqNIY0SERzu4n1Sp9O6kM3/rb27wK+kxptr71l3skw50A17KfYs6ZM2mt9EVp9+cUInnyRuupeLdIWgkmCMDp00BAAITGjfUBEgDcvKn/XS3+Y7BtUgyiwwIdtokOC/TJiE1lnwJLRETkTZJGkl544QWsWrUK9evXx6hRo7By5UrUrFnTU30j8pmgADVGd05ymN1udOckl+riuPOtv9wjGe0b1kB0WCCKSm86bCemn2LOmSPVgjW4t5H+88QQ5CVP3oiGf/+Fbf952diHno9+hNzEZOxZ8DTirhZAJXI9pL1WgiBApVYDOulJOGzx5VhNZZ4CS0RE5E2SgqQFCxagQYMGaNiwIXbt2oVdu3bZbLdGxoXS5D45ClVWRYb03lLrJIk534Zv/S1r7cRa1Nqx3FbrhOoO154A+pEMnU6AVieY7ddev95Pa47nlx20ex6e65KE737Lc9hPy3PmSqD04aMtjP01DfL+bngHkidvtGo//f5nsWD9DEn7sJXhT8CtQOnECSApyWHNpf05hU4DysulN21Od/QWuafA8vODiIiqIklB0hNPPAGViv9z9CdKK3rpb6b0ScE/HmiKpZm5OFlYioSYMIzokGh3BEnK+Xb2rb+9bT3cIg6f7c6xGt0xKCq9iWGL9pnt11m/FgxvhWnfZSG/xPbzk3o3k3SjrFbBKrDs0zwO18srsOPPi2b9NgSdpudHTCKC39t2h25YK2gmjAfOnrXbF8OaJkfTGwFA27QpNHFx5inF69UDnn0WaNwYiIvDhYiGdvdjqrKk2ubnBxERVVWSisn6o6pcTFaJRS8rMznPt7NtPWtjdMeSadvPduc47ZccIwbOCvA66qvl+TGcA8D2VD9je60WePddfcpvqw3rE8uIOQoxGfNuxNbFS+1HYmuTex22qwxFW/n5QURElZFHismS/1Bq0cvKSs7zLWZb3/2Wh12vdsPyZ9ohOtR2IgHh1k96hnWAZKtfhmla/VvWQ4fkGpIDJDEFeB2xPD+iExFoNMCbbwLffgvEx5tvND4eOrVMdZcABJ3Pw4J176H3sZ9sPu8o6YY/4ecHERFVdW6lACflcidVNEkn5/kWu60DJy9DrVKh6LrjNTKO7mPlfB+IKSYrtR+SEhGkpenTfFusKdr//S9o37s9AMc1l8SEhCpBgKBS4c3tn2Fb43bQmgRglSnVNj8/iIioqmOQVEkptehlZSXn+fbFtbtwpczt6XauFNa11Q9LkhIRaDRA165mD7Xt2RZaABrIU3NJJQioe+USRhz9L97YuMC4NmzEqH/jiYmDKsUUNH5+EBFRVccgqZJSatHLykrO8+2La5d7qRSdZu5wa4G+q8VkTXni/ahRq7Dl8Dn0aF4Xtibe6QCbjzsz9VaAZLB88UtQLX5JX5fJz/Hzg4iIqjquSaqk3ClYStLJeb6lbMtZW0CfPc7RtqLDAvHx939ZTa/KLy7DmGUHseVIntM+A+4Vk/X0+7F3ahy+P3wOaS8txnW1BjoA19UapL20GNsOndavZZIhc6cAyLIdX+PnBxERVXUMkiopQ8FSwHZtGKByrJ1QCjnPt5RtOWurgj69tt1Cqhb/2npO7AJ9QzFZZ3z1fuydGofVs0fi0F/nseHXMzj013msnj0SvVvEA3Pm3OqM8/0bEmLYOw4BAPbvB65fB8aNA3r10v97/bpsx+Jp/PwgIqKqjinAKznWOfEuOc+3lG05agvAYbFYMaSktJ6xOctuAd67G1RX7vtxzRpg/HjzOkkWxKQJB2BcA2WlY0dg7FibhWqViJ8fRERU2YiNDRgkVQFy1L+pbNw5J85eK+f5lrKt8gqdVdFbjVpltdbIFXMGt0T/lvVE97N5vSjM3HIUuQWlSKwRhtf6pCA0SGOzn0PbJeDQ6SJlnE+t9nZ2vOPHgfR0s6BJbJBk+FC1TBJh9tr4WyNYaWkuHYu38PODiIgqEwZJtzBIIkvufDuu1G/W7fVrcJv6mP39cbe372gkyda+1Srz1OOmo1pi2/ZOjfPZyJyRadAUFwdtt26ikjyICqYMU/tWr1Z8oERERFRZMEi6hUESmdpyJA9jlh20WoNjuKE1K1Iq42s9yVG/3P3jVkFfvHXP5O42Rw/s7dvWdsT2xbCXZ7sk4bPd1oVwXTnfcl27zFX/Rfshfcxea0rsSNPtDqj0I0qHDgEPPwycOgU0aABs2gRERUnZEhEREYkgNjZg4gaqMrQ6AdM3ZLmUpMCd13qSmH6JJXWBvqN9u9MXQ2KE9AzrAMl0W2LPt5zXru1jvaGzeK3ltiQRBOD0aaBGDeDHH/X//eOPQHQ00KiRK1skIiIiGTBIoipjf06hw7U5AoC84jLszymU9bWe5KxfzhhSOc8bejdio8xr3sRGhTgcYXF33844ilmknG85r51GrcK2w+eMgZIle487YzPgys4G6tQBdu7UT/sjIiIir2ExWaoyLlwRd0Nvq507r/UkKfuznPJmOlLUOzUOvVLjJC3Q9/axutoHua9d79Q4bDl8Dl9+tBrLvnjJeF5HjPo3Unt1wJTH2wCQNu3O3igeLlwAunXzmyQPRERElQWDJKoyakeEOG9kp507r/Uksfub2OMOrPr5lNmISqxF0gKNWiU6zbeUfXuSmD544tr9euoy9tZuiOTJG42PqQDUqFDhf43a4YET+6SvT3Lk7Flg0CAmeSAiIvISBklUZbRNikFcVAjyi8tsrh8xJClomxQj62s9SWy/xnVvhHHdG8maytnZvt2lVumX7Lh7vuW+djM2Z2Hh7hyrxwUAG37Px44h0/DRyml44MQ+q+cdpgR3RBD0SR4mTAD691d8fSUiIiJ/xzVJVGVo1CpjGmqpSQrcea0nSemXYaSof8t66JBcw+2+Otq3JZWd/7bXVgV98Vlb7aWebzmvXXmFDukZ1gGSqdJyLZ4f+AaaTvwPvry7D3Yl3o0dia2QF1bdrJ0uINDp/swYkjxkZEh7HREREUnGFOBU5VSlOkne6JetfVuuf4qNDMa0h+8E4Gd1kiwsyvgbb2866rTdoFb18GN2gdm+6kUEYnbdK2gbUg7ExeHf+UF4cUhHABKn5a1YAQwZIuUVREREdAvrJN3CIIlsKa/QYWlmLk4WliIhJgwjOiQiKEDcwKpWJ8g6bc1Vlv1oWT8aK/adNB7T0HYJOHS6SHQ/3Tku09fmXirFyv2nkF9isv4pMgTTHtYHI5b7aZ1QHQdOXra7XznPt7NtOXv+zfVH8FXmSaf7eaJDAqb2u9Phtv5v6zGkDe6GpKI8ABICpR9+ALp2tf/81avAiBH67HjJycDSpUB4uNitExERVWoMkm5hkESWlDoaJIWtY7AckXE0QiNme66cE6UW3BVDzDkQO5L0Rt9meLpzQ4dtfjxxCcM+34cdC0cjqSjPeZBkKDybk2N/TVLbtsDPP1s/3qYNsH+/034TERFVdiwmS2SD4Sbesm5OfnEZxiw7iC1H8nzUM/HsHYNlXSHL3+0do1znRKkFd8UQew5GdEiEykk0o1Lp2znTvmENRIcFovtz6bjzxRXYX7cZLoVEQICNekuGnX78sfQACdA/3rat0z4RERGRHoMkqjL8+SbewNExOGPrGOU8J0otuOuMlHOgUasQGug4s1xooEZ0Qon305oDAErDIvHYiFm4Z/xKPD/gNeRH1DRvHB/vOP331av2AySDn3/Wt9Nq9QVqV65koVoiIiI7mAKcqgwpN/FS6gV5k7NjcMbyGOU8J0otuGvK1pojqcFdabnjoKK0XCv6PdQ7NQ4LhrfCtO+yjGu4tja5F0fuuc8syQM6d3ac9nvECKf7AgB07w7k5QFnztx+jIVqiYiIrDBIoirDH27inckvvi7LdgzHKOc58VTBXbkSN2w5kmcWjAD6hBJ9mseKer2U94WUtr1T49AzJda9Y8zOFtfO1mgTC9USERFZYZBEVYanbuK9qfBauSzbMRyjnOfEULTV0ahMnMSCu3ImlHh+2UGrx/NLyrD4x1xR25DyvpD6HjLUsHJZcjJw+LBrr2WhWiIiIitck0RVhuEm3t738ypIv4n3tpjwYLdeb3mMcp4TjVqFh1s4DlwebhEneoTElYQSWp2AzOwCrD90FpnZBdDqBGh1Av65xnEA4SgZg+k5aJ1QHc66r1YBrROqO24kt6VL3Xs9C9USERGZYZBEVYZGrcLUfikArGvSGH6f2i/FJzWPxIqNdG+USwDQJ1U/tcuQiMBwTuwRe060OgHf/eY4E953v+WJSgLhSkKJLUfy0GnmDgxJ34vxqw5hSPpedJq5A59sP46i0psO92cohODsfXHg5GWrrIGWdAJw4ORlx43kFh6uT/Ptrjwb1+/6dWDcOKBXL/2/1+WZ8ulLtoJpIiIiUwySqErpnRqH+cNbITbKPNiIjQpRdA0fA8PIjxiWcY3h90U/5hoDiC1H8tA7NQ7Pdkmy2f7ZLkmiz4mYpBJis9tJTabgaNTp4+3HnXcewIOpsU7fF4pe17Z/v/1AqWlTcduIs7jWAwYAYWHAp58C//uf/t+wMP3jfspeMO0P6f+JiMh7uCaJqhxZFsr7iGFK28LdOXbbdG9aC6M7J6N1QnUcOHkZ27LysfjHXLt1k57tkoTPdudYjdroBGDh7hyEBQViXPdGTs+PnAGElG2VV+jw2tojDkedxEiuVQ1zh7Zy+L5Q/Lq2/fv1ab5HjNAnc0hO1k/FCw0FEhP1SRps1Q83FKrt3Pn2YwMGAOvX297P+vX659etk/8YPMhesWPD34I/fFFCRETe4dORpBkzZqBNmzaIiIhA7dq1MWDAABw7dsysTVlZGcaOHYsaNWogPDwcAwcOxPnz533UY6osDAvl+7eshw7JNfwiQALETWk7mncFbZNiEBSgRtukGPz3SL7NdsKtn/QM6wDJ1Ozv/0LH97c7/aZdzgBC7LZyL11D+xnfy5LQokPDmk7fF2JG8ny+ri08HFi7Fvj9d/2/4eH6ZAxz5tgsVKvDrWDStFDt9ev2AySD9ev9aupdZaiTRkRE3uPTIGnXrl0YO3Ys9u7di23btuHmzZt44IEHcO3aNWObiRMnYsOGDfjPf/6DXbt24dy5c0hjmlqqoqROaRPTXsw9YX7JDbvJEgzaJsUgOizQ4XaqhwWKCiDaJsWgWpDjLGvBAWrM/v44Cq85Xm8kRnRYINqLyC4nd3IKb9pyRweM6T/FqlBtfkRNjOk/BVvu6HD7wVdfFbdRse0UwF+LHRMRkW/4dLrdli1bzH5fsmQJateujQMHDqBLly4oLi7GokWLsGLFCnTv3h0A8MUXX6BZs2bYu3cv2rdv74tuE/mM1CltpjWB5DB9QxZ6psS6HASI/Y5eqxOcFm29UWE5JuK699Oai05O8fUvZxy2+fqXM5jUu5miAiXDKEpek3vxv8bt0PbMH6h99TIuhFfH/vg7Iag1+M302h4Xt45LdDsFUPR6MiIiUhxFJW4oLi4GAMTE6L9pPnDgAG7evIkePXoY2zRt2hQNGjRAZmamzW3cuHEDJSUlZj9ElYXUKW2FV2/Itm9n37Tvzyl0mkWuqPSmqG/ql2bmSlpP5Ighhfe8oXcjNtI8hXpsZDAWSFiHsje7QNQx7s0ucLW7HmE6iqJTa7C3wV34LuU+7G1wF3RqjfW1bdxY3IadtSsv10/je/FF/b/l8tT5coXi15MREZGiKCZxg06nw4QJE9CxY0ekpqYCAPLz8xEUFITo6GiztnXq1EF+vu11FjNmzMD06dM93V0inzDU6XE0Rc60Tk9MtSDZ+2Dvm3Y5v6k/WVgqqU/OGIrP9kqNcythR+bfl0S369i4pvOGXiL52syapc9k58ysWfafmzQJ+OgjQGsyIviPfwCxsfq1Tw0aAJs2AVFRovrmLsN6svziMpsBuAr6bIZKrpNGRETeo5iRpLFjx+LIkSNYtWqVW9uZMmUKiouLjT+nT5+WqYdEvie1Tk9sVKjsfbD3Tbuc39QnxIRJ6pM9NaoFmWUscz9hh9j2yplqB7hwbUJDgf79HTfu31/fzpZJk/QBlNZiyqROB5w7py9c++OPQHQ00KiRqL65y1mdNAH6NPCGGmJERFS1KSJIGjduHDZu3IgffvgB8fHxxsdjY2NRXl6OoqIis/bnz59HbGyszW0FBwcjMjLS7IeospA6IiAmG5vYOMEwbc3eN+2GfdnbnLPXmxrRIVFUvxw1iakWiMwp98ua0rmDiOQOUtp5i0vXZt06+4FS//7203+Xl+tHkMTKzvZaoGSvTprq1olZbFFDjIiIqi6fBkmCIGDcuHFYu3YtduzYgaSkJLPnW7dujcDAQGzfvt342LFjx3Dq1Cl06NDBcnNElZ7UEQHDt+eObo7vb1bb6fYMr5/aL8Xu6Iuzb+qdvd5UUIAaozsnOWzTM6W23X2pALz3SHMEBZh/xGl1AjKzC7D+0FlkZhdIHjFo37CGqAx+7RsqK0hy+dqsWwft1WvIGzYK59t3Qd6wUdBevea4PtK8edYjSM5kZwO31qR6Wu/UOOyZ3B0rR7fH0x0TAVhPXzXUTXIlUHL3PUZERMqgEgRblQW944UXXsCKFSuwfv16NGnSxPh4VFQUQm9N4xgzZgw2b96MJUuWIDIyEi+++CIA4KeffhK1j5KSEkRFRaG4uJijSuT3tDoBnWbucLquYs/k7mY3vFuO5Omzm5mkQI6LCsEbfZvh7U1HnaYJj40MxrSH7xQ1KmNvX4Z1QVLM2JyF9Iwcs5tYtQoY3TkJU/qkSNqXXP3aciQPzy87aPd5KYkgvE3qOXDpnL34IjB3rvTO3Xsv8O67QF4eEBenL2yrcZwG3h2GvyV77317f0uOyPneJyIizxAbG/g0SFKpbP+P54svvsDIkSMB6IvJ/uMf/8DKlStx48YN9OrVC/PmzbM73c4SgySqbLYcycOYWzfppn+8hr+m+XZu0q+Xa/He5izkFpQisUYYXuuTgkOnizAkfa/TfS5/ph06NhKfiKC8Qoelmbk4WViKhJgwjOiQaBzV0eoESckTCq+WY/BnP+HClXLUjgjCqmfvRUz47YQUYrZnOGeWH3bOzpm9bW85kodp32WZpVi3vBmWepzeIrZfrp4zfPwxMHGi9I5pNOYjUPHxwOjR+gx6HgiaMrMLRL33V45uL2r6pMvni4iIvMovgiRvYJBElZGzERax7bs1qYXtf150ur85g1uif8t6ovrm6Nt0AJK+aX94bgZ+P2Odxv+u+Eh8N66zqP64OmLgbFTAUbDh7yMKbo2ylJcDYWHSp9w5Ex8PzJkDyFRMfP2hsxi/6pDTdmLe+54YlSIiIs8QGxsoInEDEYm35UgePtudY7WOQicAn+3OsVpHMWNzFhbaaS8mQAKAmtWCnTfC7W/TLW8W84vL8Pyyg3jeznO21n/YC5AA4PczJXh4boaoPpnWCLLFVv0nR8dh6Ku9THliXqt0rpwzo6Ag4OWX5e/U2bPAoEHAmjWybE7ObIxunS8iIlIkBklEfkSrEzB9Q5bDQqvTN2QZF4uXV+iQnpHj9n51IgacHfXN0asNz5n2+2pZhd0AyeD3MyW4WlbhtF9SMwKKOY7pG7JQXqGzWqAv9rVKX8zvds2rDz4AXn1V3jVFhvfghAn6USqtFti5E1i5Uv+vxJErObMxylkjjIiIlIFBEpEfkfqN9dLMXKd1lcTYJ+IbcGd9c8TQ7yU/5kCrEzDx619FvU5MO6kjBmLPcfsZ2zEkfS/GrzqEIel70fH9HZi740SlGFGQZZTlgw+A0lJg9mxg3DigpgzFdQVBX2Pp3XeBxESgWzdg6FD9v4mJkkaZ5MzGKOeolClmyiMi8p0AX3eAiMST+o31ycJSmfbs/OZMjm/J3950FJ/vyYGdnC5WTl2+7rSNYcTAWUZAw4iB2OMovFZu9nt+SRlmf/+XqNcqfURB6jmzKyhIP/IDAJ98ok/z3bcvcOoU0KAB8M9/Av36Se/g1KnWjxmm461eLXrdkqFukuX6sViJ68dkO18m/H1dGxGRv2OQRORHpH5jnRATJst+OzR0Pgog9Vtye+zdaNrSoHqo0zaGEYMxyw5CBdsZAU1HDOQ6Dke8sQ93SD1nokVFAXv23P5dq9UnZDh79vZ0OlcJgr4q7IQJt4vgZmQ4TSneOzUOPVNi3cpEKPf5spcpz7CujZnyiIg8j9PtiPyI1HUUIzokwt1kWtFhgWgvIgWys76JJcB6+pM9sx+/W1Q7w4hBbJR5cBIbFWJ1wynXcdgiZZ2Lr0k5Zy7TaPQZ6wCIHj50xMXpePaScEgh1/mqLOvaiIj8HVOAE/kZqXWSDNnt7OmZUhvbsi7YfV5KcVRHfRNs/Lc7pKQBN5BaIwhu9NXeiIKnRwHkrs/klXpPa9YA48cDZ87Yb6NSuT/aBADTp0M75TXsP1XskWNy93zJXb+JiIjMsU7SLQySyNu8cVMpdb2Cs7pKW47kYer6P3D+yg3j87GRwZj28J2Sb+j1hVb/QH6J9bYAWO3HkfoxoThdaL3uyJUACbBdUDc0yHYGNlvnuFqwBtduOM+i1ie1Dg6eKnZYbNYTlL6OxeHfhlZ7e3rc8ePAZ5/pp+EZ1K8PPPOM7fVIEl2IrIGdDVqiNCgUp6Jjsa1rGv71SEtFnCM56zcREZE1sbEB1yQRychbN6murKOw/DrE8nc5ZjuZbM3m77+euoyLV8UFSABQOyLYZpBUJ1L6mp7RX/1sNmKWcRxYuvcUeqbURvoTbaza2zrHFRU6jPhiv9N9Na4TgYOniswe8/T3UUpfx+L0b0OjAbp2vf2Cf/3Lak2RVifg0oefoFbJJZtzxXUQN4e8VkkBHjuy/faufliM9I0DsGXRXJ8HSp7KlEdERNJwJIlIJvZuUr01zcoeMdPtvs+6IEu/HZ0DKR80KgBBAWrcqNDZbWMvuLHFMkBydVtanYDm07aitNz+aFKwnX578n2g1QnoNHOH3fTjhuxqeyZ3l3+qnAhy/W1kZhdgySsfYf669wCYB0S6W9tz5egM/bqp1kDToD40+/cDtWq5sCX3aXUCWr+zDUWlN+22qR4WiF9e7+mTa0lE5O/ExgZM3EAkA6UuthZTTHabjQAJkN5vV4vJWjLc9jkKkAB9v687CFYMrpdrHQZIUrYF6IM3R8rt9NuT7wOp9bO8Sc6/jQtXyrC1yb0YM+A15EeYZ1zMj6iJjzoNdamPhuAqSKeFJjcXqF0biI52aVveUNm+2WQ9KCJSIk63I5KBlJtUuRZbi1n75G4xWSn9dqeYrKnYqBDcUSccu/665LTte5uz8PaA5k7biCFmW/tzCh1+ww84voH1xPsAkF4/y1u0OgFLfsyR7W/DMMVsa5N7sa1xO7Q98wdqX72MC+HVsT9ev+ZtyG//Q9zVAqjcnSRRXKwPlIqK3NuORGLeY0WlN2V/D/mK0tfREVHVxSCJSAbevkkVe2MhVzFZMf2W49geSKmD+cNbY6SIdT8AkFvg/PjEtBHbTq7rJ3ewosR1LLbeo46IOSemRVt1ag32NrjL7HkVgH/3G4sZK99ypcvWiouBixeBmBhRNZcA9xO3KDXg9QSlr6MjoqqN0+2IZODNm1TDjYXlzafhxmLLkTzjY3IVkxXTbzmOrd2tG8rEGuL6LaadnNuSK8iQO1iRWj/L0+y9Rx0Rc04MRVsBe6lBgK5TnoNq9WqgnkyZ3+68U3TNpS1H8tBp5g4MSd+L8asOYUj6XnSaucPsb9IZJQa8nqDUKcpERAYMkohk4K2bVKk3FmKLycrR77ZJMYgOC3S+MzvUKn1/AeC1PimiXiOmnZzbEnOMjpIHeCpYERM8TO2X4pWF/o7eo7ZIPSeiirampQEnTwLTp0vrvC0XL1rXbzp7Fhg0yCxQkvLlhSNKC3g9Rcnr6IiIAAZJRLLw1k2q1BuLoAA1RndOcrjNnim1zfpp4O2b69Gdk4xJEUKDNMZ+2dMzpbbdGkem5NyWGGHBGgjw/vkUFTx4gZS1aa6ek96pcdgzuTtWjm6POYNbYuXo9tgzubv5MWo0wJtvAt9+C8THm71eytiEzbaG9U4TJgBarayjIkoKeD2pKk0rJCL/xCCJSCbeuEl15cZiSp8UPNclyWpESa0CnuuShPQn2sjSbzELzgHrGz9DP6ZYjOSkP9HGbnAjJf23nNsSc4zXbmgxsUdjnwQrooIHD5NyU+vOOdGoVeiQXAP9W9ZDh+Qa9oOGtDQgNxf44QdgxQrg8ccBtfP/9RnCGbuhiCAAp08DGRmyj4ooJeD1pKoyrZCI/BcTNxDJyJUir1K4emMxpU8K/vFAUyzNzMXJwlIkxIRhRIdE48iNHP0We3P84aMtcLm03GY/LKU/0QZXyyow8etfcerydTSoHorZj9+N8BDpH13pT7TB9XIt3tuchdyCUiTWCMNrfVIkjSCJPcbEmtWwZ3J3j70PHDEED3KRmohA7Ht0RPsGeOOhO52mVJeFaaHaIUOg+uorbB7zBrov+QjBugoA5sGQpFUweXm4EN3Y+GtkSSE2LH8FMddLUBgaiX7D/g8lkfqpcVICyN6pcejetI7dv1l/Z5qEw9b5NtT28vdphUTkvxgkEclM7ptUU+7cWAQFqPF054Z2t+1uv8XeHMdFhyKtdbzzhrDOkHYs/wp6zt7lcnrg0CCN0zTfjkgJUj35PvAWV9IzO3uPGizdewrfH73gm1TPQUHIG/kcmtbqgl9nP4bocuvMhlcDghFRccP5tuLijO8Lw7YMAVfEzTL8Nv8JFAWF4e6J30gaFbF17j/fk+Py+XI3657cDNMKxyw7aFVsujJNKyQi/6USBHeLSSib2Kq6RP7CsEAcsH1j4avpOFqdgE4zdzgN4PZM7i7qxsdeemBfHqdWJ+CuaVtxzUHh2WrBGvw+tZff39y5c/7tvUct+fJallfo0OSN/0IQbI/+XA2Pwp4FT9uvuaRS6dc65eRAq1LjarUIRJZd0z9l0szwypKQagi/dsUn730l1yJSct+IqHISGxswSCLyQ0q9sZArgDMEXPbWeUgNuORSXqFDk9f/6/TG/9g7D/r1tCg5zr/YOkm+upZanYDm07ai1EHA+3D2Xsz59l39+9f0f5WqW/1cvVq/5uniRQi1bSdAAUzWN124ANSq5bRfcr73lfhlgyWljXIRUeUmNjbw3/+LE1VhSligb69fciWBUGJ64KWZuU7Xqwi32vkzOc6/4T36Rt9mDvflq2u5P6fQYYAEAN8lt8dfc7+wrrkUH387QAKAtm2dpn5X3WpnRasFdu4EVq4Edu7E/hMXZXvv+0stItFJOIiIvIhrkoj8lFLXvHgzCYS30wOfLLReu+JOO0+Q41t5uc6/Rq1CzYhgWffpClvnROz+/ry3B5rkDgcyMoC8PCAuDujcWZ8MwuDiRXEdsWy3Zg0wfrxZHaaWdeLQq8NT2NrkXoebEtN/KcGuEj9LKhOOlhH5HwZJRCQ7byWB8HZ64ISYMFnbyU2uaZhynn9fX0t752Rwmwbi+2WaHc+WWrWAa9ecb8x0qt2aNfqCtBYz3kPO52H+uvew+J7++L5xO+yPvxM6tXUGRjHnS6lfNlQ1Sp0eTUSOcbodESmOIUOao+lLcT5IDzyiQ6JVvSlLapW+nbcZ1p5YjhzkF5dhzLKD2HIkT/S25Dz/vryWjs7Jx9//heiwQHn6tX+/uA4Z2mm1+hEkG0uCVdD/j/mZX9Zj1crXkD2rP/6e+RCyZz6E1GOHJPXL1wEqyft3SUTexSCJiBTHkB4YsF7n4cv0wEEBaozunOSwzejOSV5P2iD32hM5z7+r29LqBGRmF2D9obPIzC6QvG5GzDkxpJ52+z1WqxYQFeW4TVTU7ZGkjAyzKXaOGIImDYAN617HiZkPie6XUr9sqCr8ZU0YEdnGIImIFEmuJBBym9InBc91SbIaUVKrgOe6JGFKnxSv98kTiS7kPP9St7XlSB46zdyBIel7MX7VIQxJ34tOM3dI+tZdzDm5XHoTE3s0luc9VlRkP1CKitI/b5Dn+uiBGkDv5nVFtVXqlw1VhVIT0BCROFyTRESK1Ts1DvfdURvvbc5CbkEpEmuE4bU+KQgNsl6jIUZ5hQ5LM3NxsrAUCTFhGNEh0aVRnyl9UjChRxPZ+uUuT609kSMJh9Rt2UtZbZieJDZ4EXusiTWrYder3WR5X6CoSJ+coW1b/b+1aumn2Fmm/Y5zLcA3O1M7dgD33ec4oQRuB6iWa2JiK+maGCUlSOCaMCI9Jf1dSsEgiYgUa8bmLKRn5MAwGyXjOLB83ymM7ix9xMZyWwDw7uajLm3LciF2xnHg+6MXfHbT6cm1J3JmUXS2LWfTk1TQT0/qmRLr9H+wYo8199I13DfrB7MA4vM9Oa5fy1q1gJwcx206d9anET971ua6JFHuv1+/DdNpe/HxwJw5t1OT3yJnsKtkSkuQwDVhRMr7u5SC0+2ISJFmbM7Cwt3mQQ0A6ARg4e4czNic5ZNtKXEhdmVZeyLn9CQx56R6WCBmf3/c+9dSo9EHM8DtwrSusFzXdPYsMHAg0KcP8PHHQHn57V1W8lpESv27jA4LdNgmOixQ8X+XRK5S4t+lFAySiEhxyit0SM9w/G18ekYOyit0Xt2WUhdiV5a1J3JOTxJzTuxdJa9cy7Q0fUFay0K1ItnslWFU6r//BSZOBMLCgEmTXO6iv1Dq36UYyv6LJHKdP/9dGjBIIiLFWZqZazXqY0kn6Nt5c1tKXoit1EQXUsg9PcnROZnQ4w4Uld60+1qvXMu0NCA3F38sW4fP7+kPAYCzUN00M59TWi0wa1alD5SU+ne5P6fQ4XsM0CcPYeIGqoyU+ncpBdckEZHinCwsla2dnNtS+kLs3qlx6N60jjxJCHzAMEUuv7jM5rePKugDHCnTk+ytx9n4+zlRr79wpUzSomPJC5Q1Gpy48x68c38Afo6/E1O3f4a6Vy7ZbOry960ffQS8+Sbw+edAdjaQnAy88AIQFOTqFhVFqX+XSu2XJX9dVE/K5i/vf0cYJBGR4iTEhMnWTs5tKX0htq0Fsm4lIfAywxS5McsOGmsYGbgzbdBWwgjxiR1K0WnmDlGLjl1doGzoy9Ym92Jb43Zoe+YPrFj5GlSwHjHSQV8zSRKtFoiMNE8S8corwMsvAx98IHVriqPUv0ul9suUPy+qJ2Xzh/e/M/7x9SIRVSkjOiRa1SGypFbp23lzW0pOkODvC2QNvDVtUMy1jA4LxMff/yXqnLpz/k37olNrsLfBXWg4eSP6DXgHWugDIy2AfgPeQeNX1+NcRE0IUhM+WGbRq0RT8ZSaIEHJnxdA5fnMIGVS+vtfDAZJRKQ4QQFqjO6c5LDN6M5JoqaRybktpSZIqAwLZE31To3DnsndsXJ0e8wZ3BIrR7fHnsndZf1m29m1NJwpMefU3fNvry9HmrRE8uSNaDh5I5Inb8SRJi2hU2uwbuSr+nbuZMYz+Ogjsyx4lZUvJo8p9fMCqHyfGaQ8Sn7/i8UgiYgUaUqfFDzXJclqFEitAp7rIq22kZzbUmKChMqwQNaSN1JWO7qWE3s0Fp3YQY7zb68vlnqm1MYL/57kVmY8M1otMG+e+9vxISUnSFDi5wVQOT8zSHmU+v4Xi2uSqEoqr9D57eL2qmRKnxRM6NEE723OQm5BKRJrhOG1PikIDZK8KgNT+qTgHw80leW6Ky1Bgr8skFXiAnE5EjuI5aytZV8CVGq8uf53XLmhRWRIADa+2AWx0bduNtLSgP79gYwM4MMPgY0bRffDSna29WNarX7beXlAXJy+AK5G+t+dGO6+L5T+/ldiMV8lnDMlfh6Q/JT4/heLQRJVOTM2ZyE9w7yw6Lubj2J0Z2kjCuR5louKM44D3x+94PKi4qAANZ7u3FD2fgG+TZDgDwtklbxA3J3EDlLOqZi2hr7cN2sHThZcNz5+6dpNtH9/OxJqhGLXq91vNdYAXbvqfyZN0k+d02pvb0ylsl6LZEtysvnva9YA48ebF6uNj9cXwE1Lc749CeR4X/jD+9/We8yXfH3OlPx5QPJT2vtfLH51TlXKjM1ZWLg7x6pujk4AFu7OwYzNWb7pGFlR6qJiJfZL6QtklXjOnJFyTtsmxaCak9HNasEa0effMkAydbLgOu6btcP6iQ8+AEpLgdmzgXHj9P+WlDgf/dFo9OnADdasAQYNMg+QAODsWf3ja9aIOgYx5HpfiEncUN0HiRuUzJfnzB8/D6hqYpBEVUZ5hQ7pGTkO26Rn5KC8wlk5R/I0pS4qVmq/lLxAVqnnzBkp51SrE1BaroUjpTe0oo6xuPSm3QDJ4GTBdRTbWoMTFARMmAB88on+3/BwfZpvR15++Xa9JK1WP4Jka/TJ8NiECfp25eXAxx8DL76o/1di8gdvvy+U9e7yD544Z/76eUBVE4MkqjKWZuZajSBZ0gn6duRbSl1UrNR+AcpdIKvkc+aM2HO6NDPX6Q2lAHGfLaOW7BfVt1FL9kOrE5CZXYD1h84iM7vA9o3lBx8Ar75qPaKk0egfN62TlJFhPYJkdhACcPo0MGwYEBYGTJwIzJ2r/zcsTFI6cTnfF2ISNxT5KHGDUvnqnPnz5wFVPVyTRFXGycJSWduR5yhhUbE7++MC8duUfs6cEXNO5fxsOefgBtJU9qVroovc4oMPgHfe0Wexy87Wr0F64YXbI0gGeSKnOX39tfVjhrpLhv05Ief7wt/fY77gq3PGa0X+hEESVRkJMWGytiPP8fWiYnf3xwXit/nDOXPG2TmV87OlblSIw2/aDYpKb6II5iMBhjUdNkcODVPxHImTYbTxo4/0AZllAGZBzvdFZXiPeZuvzhmvFfkTTrejKmNEh0SrOjmW1Cp9O/ItpSYiUGq/lKwqnDM5P1sWj2zrcj/cXtPRubM+i507RWpF1l2S831RFd5jcvPVOeO1In/CIImqjKAANUZ3TnLYZnTnJNZLUgClJiJQar+UrCqcMzk/W6LCApFQI9Tlvri1pkOj0af5BqwDJSmBk626S5a7kvF9URXeY3Lz1TnjtSJ/wrtBqlKm9EnBc12SrL71VauA57qwTpKSKDURgVL7pWS+OGeikhq40NYeVz9bbO1716vd7QZKNcMdp202+ObnU65l6kxLA1avBurVM388Ph546ilx27Csu2SH4X1RJzLY7PE6kcGS3xeeeI+VV+iwKONvvLn+CBZl/F3pMp/66rOMn6G3yfHZ44ltAZX//S+GShDEVJrzXyUlJYiKikJxcTEiIyN93R1SiPIKHZZm5uJkYSkSYsIwokMiR5AUSqlV2ZXaLyXz1jmTUqhS7qKWUj5bHO37jXVHcPGqdVrtqJAAFJdViOqLWgXXi2Rrtfpsd3l5+rVKnTvrHwsLg6DV2pwuJQBQaTT6ek1O1iQZbDmSh/e/2Y9/rpyBBkX5OBUdi/eHTME/H2vr0vmX6z1mq+i4W+dTwXz1WVbVP0Pl/OyR+3Ossr//xcYGDJKIiKjSMBSqtPwfm+HWy/SbailtvdlPZ/9TVqv02bjF/s9bzlHyv0e9gKQv5gMwny5l6EvOU2PQcLHzNUmA/hzU6XkfWuYft9rWodjGOL9tl09GFQxFx+3hrANyl5yfPXJ/jlWF97/Y2IBfnRMRUaUgpVClL4taitm3I4Yuif3OXa4i2VqdgGGNB2Jh2zToVOa3D1qVGgvbpmFY44GizplWJyC+dze0zD9u8/mW+ccR37ub14uKsug4eZqcnz1yf47x/W+OQRIREVUKUgpV+rKopbN9ixEbGWy1psMeuYpkG/r9frdRaPLyarzV/RksafUQ3ur+DJq+vBrvdxslvgDs4VO48+wxAPYX8N959hj2Hz7ldr+lYNFx8jS5CynL+TnG97851kkiIqJKwROFKj1R1FKObV6/qcOBN3pizLID+F/Weaft5SiSbdrvioAgLG4zwGk7exImPOdwJMzwXMJLo4Hpr5mvjdJoxHdaIhYdJ09TciFlvv/NcSSJiIgqBSmFKn1Z1FKObdaOCIJGrUI7kfVk5CiSLec5i8wTN0IU++MPQLduwNCh+n8TE4E1a0S91hUsOk6epuRCynz/m2OQRERElYKUQpW+LGrpbN9irHr2XgDeLZIt5zkLbXKHqH2qtBaZ/M6eBQYN8ligxKLj5GlKLqTM9785BklERFQpSClU6cuilmL27Uit8CDEhOtTbHuzSLasBWCXL4MA+4kqDM9ZbcmQkHfCBH1Kcpmx6Dh5mpILKfP9b65qHCUREVUJUgpV+rKopaN9LxjeCrXCbdcZqhUehJ9f72n2mDeLZMt2zsLDoWrTBoB1oGQIjuze1gkCcPq0vo6TpeJioFMnoEED/b/FxeL6Y4JFx8nT5PzskftzjO//21gniYiIPMKyWGTL+tFYse+kV4o4SylUKWdxaanbctTPU5dK0XvOLly/qUNooBpbxt+HBjXtrwVwtG+phTudtZetEGjbthB+/tmqTpKoLa1YAQwZcvv3Ro0gZGdbbys5GThxQnLXiktvYtSS/ThXXIa6USFYPLItosICJW9H6ap6UVdfkvOzR+7rKGfflIbFZG9hkERE5H22KsBbUkIFdzkr1ctZpf7huRn4/UyJ1eN3xUfiu3GdJW1L6jHKeU7E9G3mf/Zj8ooZaFCUj1PRsdjSoR8+Xvq68xf/8APQtav+v28FSIDtIrdSA6XRX/2MbVkXrB7vmVIb6U+0Eb0dpfPmtSZzPPe+wyDpFgZJRETeZa8CvD2+msIhZ6V6OavU2wuQDKQESlKPUc5z4mrfNDotMhY8jbirBVDZukVRqYD4eCAnR58OvLgYQnS0WT9NGQOloiIgKsppv+wFSAaVJVDy5rUmczz3viU2Nqgc42ZERKQIjirA2+OLCu5yVqqXs0r91bIKhwESAPx+pgRXyyoctgGkH6Oc58SdvmnVGrx1/7OAIEBQWYQ9ht8//thYL0n7YB+Ha5gMz2kf7OO0X9fLtQ4DJADYlnUB18vlTxrhTd681mSO595/MEgiIiLZOKsAb4svKrjLWalezir1E7/+1Wkbse2kHqOc58Tdvm1pci+eH/AayutYfJseHw+sXg2kpRkfKs12HKBKaffe5ixR2xLbTqm8ea3JHM+9/wjwdQeIiKjyEFvZ3ZK3K7jLWalezir1py5fF7UtMe2kHqOc50SObWxtci+2vP4c+l/5G8jLA+LigM6djSNIBgUxdRBxIc/p9gpi6iDCSZvcAnHXUmw7pfLmtSZzPPf+gyNJREQkG7GV3S15u4K7nJXq5axS36B6qKhtiWkn9RjlPCdybaN2dDV9coYhQ/T/WgRIALB71mJRNZd2z1rsdH+JNcRdS7HtlMqb15rM8dz7DwZJREQkG2cV4G3xRQV3OSvVy1mlfvbjdzttI7ad1GOU85zI3TdHBvdugdxo/bQ8WzWXACA3Og6De7dwuq3XTJJrhJWW4Julr2LPvJH4ZumrCCstsdnOH3nzWpM5nnv/wSCJiIhk46gCvD2+qOAuZ6V6OavUh4cE4K54x5lY74qPRHiI89nyUo9RznMid98cCQpQY9Xy75ETbTsbWE50HFYt/17U+Q8N0qBnSm3sWDgaf3wyFG3PHUX8lUtoe+4o/vhkKHYsHI2eKbURGmQ9ouVPvHmtyRzPvf9gCnAiIpId6yTpsU6SvH1zZMbmLCzf+hsWr34bda9cxLmIWhg16A0M69VC2vmXueaSkrFWj+/w3PsO6yTdwiCJiMg3LCvAt6wfjRX7TiqugruclerlrFJ/tawCE7/+FacuX0eD6qGY/fjdokaQbJF6jM7ay3nOHG1L6n7cPv/FxcCtmksOiay5JFu/PEjOa+kP+1USJZ8DJffNXQySbmGQREREJB9vfQPuk2/aO3UCfvzRebuOHYE9e0RtUs4RxsqCoyjKVtmvD4vJEhERkay2HMnDmGUHraZR5heXYcyyg9hyxHkqbiXtx8qpU7K2m7E5Cwt351jV0dIJwMLdOZjh5/WWXOGza0ui8PrcxiCJiIiInNLqBEzfkGUz1bbhsekbsqB1VllXIfuxqUED2dqVV+iQnuG4gG16Rg7KK3Ti9lkJ+PTaklO8PuYYJBEREZFT+3MKHSbiEADkFZdhf06hX+zHpk2bZGu3NDPXagTJkk7Qt6sqfHptySleH3OurQAlIiKiKuXCFfs3T6608/V+bIqKApKTgVvZ7WxKThaVtOFkYanxv8NKS7Dk29tZ90YOfAOlYZFW7So7n15bcorXxxyDJCIiInKqdkSIrO18vR+7TpwAGjWyHShJSP+dEBMGANixcDSSivKM6cTjr1zCH58MRU50HLo/l25sVxX4/NqSQ7w+5jjdjoiIiJxqmxSDuKgQu0WCVdBnwGqbFOMX+3HoxAl9mu+OHYH69fX/FhVJqo80okMifrgVINmSVJSHHxaOxogOibJ02R8o4tqSXbw+5hgkERERkVMatQpT++lTVlveRBl+n9ovxe1aKt7aj1NRUfo036dO6f+VUBcJAIKuXUHirQDJ3nEkFuUh6NoV9/vqJxRzbckmXh9zDJKIiIhIlN6pcZg/vBVio8yn28RGhWD+8Fay1VDx1n48qm9fqGB9s2lgfK5vX691SQkqxbWtxHh9bmMxWSIiIgVScsV7b/VNyefAqQYNgNOnnberX198faZKRKnX1lm/lNpvuVXm4xQbGzBxAxERkcIoveK9Rq1Ch+QalWY/HiE2SBJbm6mSUeK1dfZ3p/S/Szkp8fp4G0eSiIiIFMRQ8d7yf86G73Cr2pQXv1VcDCE6GoDtKXeG66sqKpK83onk5+zv7tkuSfhsdw7/LisBsbEB1yQREREpBCveVx7aiEicjqkLAFbX0/D76Zi60EbwC1xfE/N3l55hHSCZPs+/y8qHQRIREZFCsOJ95bE/pxBdRn+GnGjbows50XHoMvozXksFEPN35yj+4d9l5cQ1SURERArBiveVh+EadX8uHWGlJVjy7duoe+UizkXUwsiBb6A0LNKsHfmOXNeA17JyYZBERESkEKx4X3mYXqPSsEg8NmKW03bkG3JdA17LyoXT7YiIiBSCFe8rD15L/yHmWjnKfs1rWTkxSCIiIlIIVryvPHgt/YeYazW6c5LN4sC8lpUXgyQiIiIFYcX7yoPX0nVanYDM7AKsP3QWmdkFHs8c5+xaTemTIvu19PYxkjSsk0RERKRAlbnifVWj6Gt5/Trw6qvA8eNA48bArFlAaKhPu+TLoq3OrpVc17IqFaZVGrGxgU+DpN27d2PWrFk4cOAA8vLysHbtWgwYMMD4vCAImDp1KtLT01FUVISOHTti/vz5aNy4seh9MEgiIiIismHAAGD9euvH+/cH1q3zdm8AVI1iylXhGJXML4rJXrt2DS1atMCnn35q8/kPPvgA//73v7FgwQLs27cP1apVQ69evVBWxhSLRERERC6zFyAB+sdNvrT2lqpQTLkqHGNl4dMU4A8++CAefPBBm88JgoCPP/4Yr7/+Ovr37w8A+Oqrr1CnTh2sW7cOgwcPtvm6Gzdu4MaNG8bfS0pK5O84ERERkb+6ft1+gGSwfr2+nRen3kkpptwhuYbX+iWnqnCMlYViEzfk5OQgPz8fPXr0MD4WFRWFdu3aITMz0+7rZsyYgaioKONP/fr1vdFdIiIiIv/w6qvytpNJVSimXBWOsbJQbJCUn58PAKhTp47Z43Xq1DE+Z8uUKVNQXFxs/Dl9+rRH+0lERETkV44fd62dVgvs3AmsXKn/V6uVtVtVoZhyVTjGykKxQZKrgoODERkZafZDRERERLeITYBl2m7NGiAxEejWDRg6VP9vYqL+cZlUhQK8VeEYKwvFBkmxsbEAgPPnz5s9fv78eeNzRERERCTRrFnS2q1ZAwwaBJw5Y/782bP6x2UKlKpCAd6qcIyVhWKDpKSkJMTGxmL79u3Gx0pKSrBv3z506NDBhz0jIiIi8mOhofo03470769vp9UC48cDtirGGB6bMEG2qXdVoQBvVTjGysCn2e2uXr2KEydOGH/PycnBoUOHEBMTgwYNGmDChAl455130LhxYyQlJeGNN95A3bp1zWopEREREZFE69aJq5OUkWE9gmRKEIDTp/XtunaVpWu9U+PQMyVWuQV4ZVAVjtHf+TRI+uWXX9CtWzfj7y+//DIA4Mknn8SSJUswadIkXLt2Dc8++yyKiorQqVMnbNmyBSEhXMxGRERE5JZ16/Rpvl99VZ+koXFj/RQ707TfeXnitiW2nUgatarSp8CuCsfoz1SCYGv8tPIQW1WXiIiIiCzs3KlP0uDMDz/INpJE5EliYwOfjiQRERERkXJpO3bCpciaqFVyyeZCdh2AC1G1UKtjJ2ikbLi8HJg3D8jOBpKTgRdeAIKC5Ok0kQwUm7iBiIiIiHxr/6livNn9WQD6gMiU4fep3UZj/6li8RudNAkICwMmTgTmztX/Gxamf5xIIRgkEREREZFNF66UYWuTezFmwGvIj6hp9lx+RE2MGfAatja5FxeulInb4KRJ+nVPltnwtFr94wyUSCE43Y6IiIiIbKodoU+WtbXJvdjWuB3anvkDta9exoXw6tgffyd0ao1ZO4fKy4GPPnLc5qOPgHfeATQafca8vDwgLg7o3Fn/GJGXMEgiIiIiIpvaJsUgLioE+cVl0Kk12NvgLrPnVdDX92mbFON8Y/PmOa+npNUCzz0HfP+9eerx+HhgzhwgLU36QRC5gNPtiIiIiMgmjVqFqf1SAOgDIlOG36f2SxFX3yc7W9xOlyyxrs109iwwaBCwZo24bRC5iUESEREREdnVOzUO84e3QmyU+ZS62KgQzB/eCr1T48RtKDnZ9U4YKtZMmOB8NIpIBqyTREREREROaXUC9ucU4sKVMtSO0E+xEzWCZFBers9i526Qw5pM5AbWSSIiIiIi2WjUKnRIruH6BoKCgJdf1mexc0dennuvJxKB0+2IiIiIyDs++AB49VXrTHUaDfD44+K2ESdyeh+RGzjdjoiIiIi8q7xcn+0uO1u/VumFF/SBUmKiPkmDrdtTlUqf5S4nh+nAyWWcbkdEREREyhQUpE/CYGnOHH0WO5XKPFBS3Vr79PHHDJDIKzjdjoiIiIiUIS0NWL0aqFfP/PH4eP3jrJNEXsKRJCIiIiJSjrQ0oH9/ICNDn6QhLg7o3JkjSORVDJKIiIiISFk0Gqb5Jp/idDsiIiIiIiITHEkiIiIiIgL0hW45zY/AIImIiIiICFizBhg/Hjhz5vZj/9/e3UdFXeb/H38NKCMoI+EdgyiYd2nem5GZ93eYlYSmebNpa7a7oqap69auN0mlR7StTm52OqXtqdyjrpq3bbqJmZLr0cx0XQ66lBmgu7KACCrC9f1jfsxvRhAQcYab5+MczjDXdc34/lxec/Pmuj7XJyzMseMeG0bUOiy3AwAAQO22ebNj63HXBElyXLNpzBhHPWoVkiQAAADUXgUFjhmkki5gW1Q2e7ajXUGBlJAgrV/vuC0o8GCg8CSW2wEAAKD2OnCg+AySK2Okn36SXntNev99luPVEswkAQAAoPZKSytfu8WLWY5Xi5AkAQAAoPay2yv+2JuX46HGIEkCAABA7dW3r2PZnMVSsccXLcc7cKBy44JXkSQBAACg9vL1dZxXJBVPlG4ncSrvsj1UCyRJAAAAqN1iYqRNm6Tmzd3Lw8KkV14p33PcybI9VDkWY0ra77DmyM7OVsOGDZWVlSWbzebtcAAAAFBVFRQ4ls2lpTmSnr59HeUREY5NGkr62myxOJKplBTHrBSqtPLmBmwBDgAAAEiOJGfAgOLlb73l2MXOYnFPlIqW47355u0nSHl50vz5UnKy1LatFB8v+ftXNHJUMpbbAQAAAKUpbTnepk23f52k6GgpIEBavVr64gvHbUCAoxxVAsvtAAAAgPIoaTne7c4gRUdLn3126/pRo6StW+8kSpSivLkBSRIAAADgCXl5jhmjsuTmsvTuLilvbsByOwAAAMAT5s+v3Ha4a0iSAAAAAE9ITq7cdrhrSJIAAAAAT2jbtnLb4a7hnCQAAADAE+7WOUmVsaFELcE5SQAAAEBV4u/v2L2uNKNG3V6CtHmz42K3AwdKEyY4biMiHOWoMJIkAAAAwFO2br11onS7239v3uy4yO358+7lP//sKCdRqjCW2wEAAACelpfn2MUuOdlxDlJ8/O0vsYuIKJ4gFbFYHBe7TUlh6Z2L8uYGdTwYEwAAAADJkRC9807FH3/gwK0TJEkyRvrpJ0e7AQMq/u/UUiy3AwAAAKqbtLTKbQc3JEkAAABAdWO3V247uCFJAgAAAKqbvn0d5xxZLCXXWyxSixaOdrhtJEkAAABAdePrK731luP3mxOlovtvvlmxTRvy8qQZM6Thwx23eXl3FGp1RJIEAAAAVEcxMdKmTVLz5u7lYWGO8piY23/O6GjHBW9Xr5a++MJxGxDgKK9F2AIcAAAAqM4KChy72KWlOc5B6tu3YjNI0dHSZ5/duv52r+NUBZU3NyBJAgAAAGq7vDzHjFFZcnNv73pOVUx5cwOW2wEAAAC13fz5lduumiNJAgAAAGq75OTKbVfNkSQBAAAAtV3btpXbrprjnCQAAACgtuOcJDfMJAEAAAC1nb+/Y/e60owadfsJUkGBlJAgrV/vuC0oqGiEHkWSBAAAAMCxvfetEqWKbP+9ebMUESENHChNmOC4jYhwlFdxLLcDAAAA8P/l5Tl2sUtOdpyDFB9/+zNImzdLY8ZIN6caFovjtqIXu71DXCfp/yFJAgAAADyooMAxY3T+fMn1FosUFialpFTsord3gHOSAAAAAHjegQO3TpAkx+zSTz852lVRJEkAAAAAKk9aWuW28wKSJAAAAACVx26v3HZeQJIEAAAAoPL07es456hok4abWSxSixaOdlUUSRIAAACAyuPrK731luP3mxOlovtvvunxTRtuB0kSAAAAgMoVE+PY5rt5c/fysDCvbf99O+p4OwAAAAAANVBMjOMitAcOODZpsNsdS+yq8AxSEZIkAAAAAHeHr680YIC3o7htLLcDAAAAABckSQAAAADggiQJAAAAAFyQJAEAAACAC5IkAAAAAHBBkgQAAAAALkiSAAAAAMAFSRIAAAAAuCBJAgAAAAAXJEkAAAAA4IIkCQAAAABckCQBAAAAgAuSJAAAAABwUcfbAdxtxhhJUnZ2tpcjAQAAAOBNRTlBUY5wKzU+Sbp8+bIkqUWLFl6OBAAAAEBVcPnyZTVs2PCW9RZTVhpVzRUWFio1NVWBgYGyWCzeDqfCsrOz1aJFC/3000+y2WzeDqfWof+9i/73Lvrfe+h776L/vYv+966a2v/GGF2+fFmhoaHy8bn1mUc1fibJx8dHYWFh3g6j0thstho1UKsb+t+76H/vov+9h773Lvrfu+h/76qJ/V/aDFIRNm4AAAAAABckSQAAAADggiSpmrBarVq8eLGsVqu3Q6mV6H/vov+9i/73Hvreu+h/76L/vau293+N37gBAAAAAG4HM0kAAAAA4IIkCQAAAABckCQBAAAAgAuSJAAAAABwQZJUxSxZskQWi8Xt57777nPWX716VbGxsWrUqJEaNGig0aNH68KFC16MuGaJiIgo1v8Wi0WxsbGSpAEDBhSr+/Wvf+3lqKunr776So8//rhCQ0NlsVi0detWt3pjjBYtWiS73S5/f38NGTJEycnJbm0yMjI0ceJE2Ww2BQUFaerUqcrJyfHgUVRfpfV/fn6+FixYoM6dO6t+/foKDQ3VM888o9TUVLfnKOn1snz5cg8fSfVU1vifMmVKsb6Niopya8P4r5iy+r6kzwCLxaL4+HhnG8Z+xS1btky9evVSYGCgmjZtqujoaCUlJbm1Kc93nXPnzmnkyJEKCAhQ06ZNNX/+fN24ccOTh1LtlNX3GRkZmjlzptq3by9/f3+1bNlSs2bNUlZWltvzlPT6+Mtf/uLpw7nrSJKqoPvvv19paWnOn6+//tpZN2fOHG3fvl0bN27U/v37lZqaqpiYGC9GW7McOXLEre/37NkjSXrqqaecbaZNm+bWZsWKFd4Kt1q7cuWKunbtqtWrV5dYv2LFCr399ttas2aNDh8+rPr162v48OG6evWqs83EiRN16tQp7dmzRzt27NBXX32l559/3lOHUK2V1v+5ubk6duyYFi5cqGPHjmnz5s1KSkrSE088Uazt0qVL3V4PM2fO9ET41V5Z41+SoqKi3Pp2/fr1bvWM/4opq+9d+zwtLU0ffvihLBaLRo8e7daOsV8x+/fvV2xsrL755hvt2bNH+fn5GjZsmK5cueJsU9Z3nYKCAo0cOVLXr1/XoUOH9NFHH2ndunVatGiRNw6p2iir71NTU5WamqqVK1fq5MmTWrdunT7//HNNnTq12HOtXbvWbfxHR0d7+Gg8wKBKWbx4senatWuJdZmZmaZu3bpm48aNzrLTp08bSSYxMdFDEdYuL7zwgmndurUpLCw0xhjTv39/88ILL3g3qBpIktmyZYvzfmFhoQkJCTHx8fHOsszMTGO1Ws369euNMcb885//NJLMkSNHnG12795tLBaL+fnnnz0We01wc/+X5B//+IeRZH788UdnWXh4uPnjH/94d4OrBUrq/8mTJ5tRo0bd8jGM/8pRnrE/atQoM2jQILcyxn7luXjxopFk9u/fb4wp33edXbt2GR8fH5Oenu5s8+677xqbzWauXbvm2QOoxm7u+5Js2LDB+Pn5mfz8fGdZeV43NQEzSVVQcnKyQkNDde+992rixIk6d+6cJOno0aPKz8/XkCFDnG3vu+8+tWzZUomJid4Kt8a6fv26Pv74Y/3yl7+UxWJxln/yySdq3LixOnXqpJdeekm5ublejLJmSklJUXp6uttYb9iwoSIjI51jPTExUUFBQXrggQecbYYMGSIfHx8dPnzY4zHXdFlZWbJYLAoKCnIrX758uRo1aqTu3bsrPj6e5S6VKCEhQU2bNlX79u31m9/8RpcuXXLWMf4948KFC9q5c2eJf0ln7FeOoqVcwcHBksr3XScxMVGdO3dWs2bNnG2GDx+u7OxsnTp1yoPRV2839/2t2thsNtWpU8etPDY2Vo0bN9aDDz6oDz/8UKYGXna1TtlN4EmRkZFat26d2rdvr7S0NL3yyivq27evTp48qfT0dPn5+RX7ktKsWTOlp6d7J+AabOvWrcrMzNSUKVOcZRMmTFB4eLhCQ0N14sQJLViwQElJSdq8ebP3Aq2Bisaz6wdg0f2iuvT0dDVt2tStvk6dOgoODub1UMmuXr2qBQsWaPz48bLZbM7yWbNmqUePHgoODtahQ4f00ksvKS0tTW+88YYXo60ZoqKiFBMTo1atWuns2bN6+eWXNWLECCUmJsrX15fx7yEfffSRAgMDiy1rZ+xXjsLCQs2ePVt9+vRRp06dJKlc33XS09NL/HwoqkPZSur7m/33v/9VXFxcsWW8S5cu1aBBgxQQEKAvvvhC06dPV05OjmbNmuWJ0D2GJKmKGTFihPP3Ll26KDIyUuHh4dqwYYP8/f29GFnt88EHH2jEiBEKDQ11lrm+UXTu3Fl2u12DBw/W2bNn1bp1a2+ECdxV+fn5Gjt2rIwxevfdd93qXnzxRefvXbp0kZ+fn371q19p2bJlslqtng61Rnn66aedv3fu3FldunRR69atlZCQoMGDB3sxstrlww8/1MSJE1WvXj23csZ+5YiNjdXJkyfdzr2GZ5TV99nZ2Ro5cqQ6duyoJUuWuNUtXLjQ+Xv37t115coVxcfH17gkieV2VVxQUJDatWunM2fOKCQkRNevX1dmZqZbmwsXLigkJMQ7AdZQP/74o/bu3avnnnuu1HaRkZGSpDNnzngirFqjaDzfvJuR61gPCQnRxYsX3epv3LihjIwMXg+VpChB+vHHH7Vnzx63WaSSREZG6saNG/rhhx88E2Atcu+996px48bO9xrG/9134MABJSUllfk5IDH2K2LGjBnasWOH9u3bp7CwMGd5eb7rhISElPj5UFSH0t2q74tcvnxZUVFRCgwM1JYtW1S3bt1Sny8yMlLnz5/XtWvX7lbIXkGSVMXl5OTo7Nmzstvt6tmzp+rWrau///3vzvqkpCSdO3dOvXv39mKUNc/atWvVtGlTjRw5stR2x48flyTZ7XYPRFV7tGrVSiEhIW5jPTs7W4cPH3aO9d69eyszM1NHjx51tvnyyy9VWFjoTF5RcUUJUnJysvbu3atGjRqV+Zjjx4/Lx8en2DIw3Lnz58/r0qVLzvcaxv/d98EHH6hnz57q2rVrmW0Z++VnjNGMGTO0ZcsWffnll2rVqpVbfXm+6/Tu3Vvff/+92x8Kiv6Q07FjR88cSDVUVt9Ljs/aYcOGyc/PT9u2bSs2i1qS48eP65577qlxs6gst6ti5s2bp8cff1zh4eFKTU3V4sWL5evrq/Hjx6thw4aaOnWqXnzxRQUHB8tms2nmzJnq3bu3HnroIW+HXmMUFhZq7dq1mjx5stuJimfPntWnn36qRx99VI0aNdKJEyc0Z84c9evXT126dPFixNVTTk6O2wxcSkqKjh8/ruDgYLVs2VKzZ8/Wq6++qrZt26pVq1ZauHChQkNDnduMdujQQVFRUZo2bZrWrFmj/Px8zZgxQ08//bTbEkmUrLT+t9vtGjNmjI4dO6YdO3aooKDAuc4/ODhYfn5+SkxM1OHDhzVw4EAFBgYqMTFRc+bM0aRJk3TPPfd467CqjdL6Pzg4WK+88opGjx6tkJAQnT17Vr/97W/Vpk0bDR8+XBLj/06U9d4jOb4obty4UatWrSr2eMb+nYmNjdWnn36qzz77TIGBgc73loYNG8rf379c33WGDRumjh076he/+IVWrFih9PR0/eEPf1BsbGyN+6Jemcrq+6IEKTc3Vx9//LGys7OVnZ0tSWrSpIl8fX21fft2XbhwQQ899JDq1aunPXv26PXXX9e8efO8eWh3h3c318PNxo0bZ+x2u/Hz8zPNmzc348aNM2fOnHHW5+XlmenTp5t77rnHBAQEmCeffNKkpaV5MeKa529/+5uRZJKSktzKz507Z/r162eCg4ON1Wo1bdq0MfPnzzdZWVleirR627dvn5FU7Gfy5MnGGMc24AsXLjTNmjUzVqvVDB48uNj/yaVLl8z48eNNgwYNjM1mM88++6y5fPmyF46m+imt/1NSUkqsk2T27dtnjDHm6NGjJjIy0jRs2NDUq1fPdOjQwbz++uvm6tWr3j2waqK0/s/NzTXDhg0zTZo0MXXr1jXh4eFm2rRpbtsdG8P4r6iy3nuMMea9994z/v7+JjMzs9jjGft35lbvLWvXrnW2Kc93nR9++MGMGDHC+Pv7m8aNG5u5c+e6bVON4srq+1u9NiSZlJQUY4zjUgPdunUzDRo0MPXr1zddu3Y1a9asMQUFBd47sLvEYkwN3LMPAAAAACqIc5IAAAAAwAVJEgAAAAC4IEkCAAAAABckSQAAAADggiQJAAAAAFyQJAEAAACAC5IkAAAAAHBBkgQAAAAALkiSAAAAAMAFSRIAoFJMmTJF0dHRxcoTEhJksViUmZnp8ZgAAKgIkiQAQJV2/fp1b4fgEcYY3bhxw9thAABEkgQA8LC//vWvuv/++2W1WhUREaFVq1a51UdERCguLk7PPPOMbDabnn/+eV2/fl0zZsyQ3W5XvXr1FB4ermXLljkfk5mZqeeee05NmjSRzWbToEGD9N133znrlyxZom7duum9995TixYtFBAQoLFjxyorK8vZprCwUEuXLlVYWJisVqu6deumzz//3Fk/ZswYzZgxw3l/9uzZslgs+te//iXJkczVr19fe/fudT7fsmXL1KpVK/n7+6tr167atGmT8/FFM2y7d+9Wz549ZbVa9fXXX1dSLwMA7gRJEgDAY44ePaqxY8fq6aef1vfff68lS5Zo4cKFWrdunVu7lStXqmvXrvr222+1cOFCvf3229q2bZs2bNigpKQkffLJJ4qIiHC2f+qpp3Tx4kXt3r1bR48eVY8ePTR48GBlZGQ425w5c0YbNmzQ9u3b9fnnn+vbb7/V9OnTnfVvvfWWVq1apZUrV+rEiRMaPny4nnjiCSUnJ0uS+vfvr4SEBGf7/fv3q3Hjxs6yI0eOKD8/Xw8//LAkadmyZfrzn/+sNWvW6NSpU5ozZ44mTZqk/fv3ux3r7373Oy1fvlynT59Wly5dKqGXAQB3zAAAUAkmT55sfH19Tf369d1+6tWrZySZ//3vf2bChAlm6NChbo+bP3++6dixo/N+eHi4iY6Odmszc+ZMM2jQIFNYWFjs3z1w4ICx2Wzm6tWrbuWtW7c27733njHGmMWLFxtfX19z/vx5Z/3u3buNj4+PSUtLM8YYExoaal577TW35+jVq5eZPn26McaYEydOGIvFYi5evGgyMjKMn5+fiYuLM+PGjTPGGPPqq6+ahx9+2BhjzNWrV01AQIA5dOiQ2/NNnTrVjB8/3hhjzL59+4wks3Xr1tK6FQDgBXW8naQBAGqOgQMH6t1333UrO3z4sCZNmiRJOn36tEaNGuVW36dPH7355psqKCiQr6+vJOmBBx5wazNlyhQNHTpU7du3V1RUlB577DENGzZMkvTdd98pJydHjRo1cntMXl6ezp4967zfsmVLNW/e3Hm/d+/eKiwsVFJSkgICApSamqo+ffoUi61o2V6nTp0UHBys/fv3y8/PT927d9djjz2m1atXS3LMLA0YMECSY9YqNzdXQ4cOdXu+69evq3v37m5lNx8rAMD7SJIAAJWmfv36atOmjVvZ+fPnK/Q8rnr06KGUlBTt3r1be/fu1dixYzVkyBBt2rRJOTk5stvtbkvhigQFBd32v30rFotF/fr1U0JCgqxWqwYMGKAuXbro2rVrOnnypA4dOqR58+ZJknJyciRJO3fudEvMJMlqtZZ6rAAA7yNJAgB4TIcOHXTw4EG3soMHD6pdu3bOWaRbsdlsGjdunMaNG6cxY8YoKipKGRkZ6tGjh9LT01WnTh2385Rudu7cOaWmpio0NFSS9M0338jHx0ft27eXzWZTaGioDh48qP79+7vF9uCDDzrv9+/fX++//76sVqtee+01+fj4qF+/foqPj9e1a9ecM1EdO3aU1WrVuXPn3J4PAFA9kCQBADxm7ty56tWrl+Li4jRu3DglJibqnXfe0Z/+9KdSH/fGG2/Ibrere/fu8vHx0caNGxUSEqKgoCANGTJEvXv3VnR0tFasWKF27dopNTVVO3fu1JNPPulczlavXj1NnjxZK1euVHZ2tmbNmqWxY8cqJCREkjR//nwtXrxYrVu3Vrdu3bR27VodP35cn3zyiTOOAQMGaM6cOfLz89MjjzziLJs3b5569erlnBUKDAzUvHnzNGfOHBUWFuqRRx5RVlaWDh48KJvNpsmTJ9+N7gUAVBKSJACAx/To0UMbNmzQokWLFBcXJ7vdrqVLl2rKlCmlPi4wMFArVqxQcnKyfH191atXL+3atUs+Po5NWnft2qXf//73evbZZ/Wf//xHISEh6tevn5o1a+Z8jjZt2igmJkaPPvqoMjIy9Nhjj7klZ7NmzVJWVpbmzp2rixcvqmPHjtq2bZvatm3rbNO5c2cFBQWpXbt2atCggSRHklRQUOA8H6lIXFycmjRpomXLlunf//63goKC1KNHD7388st32IsAgLvNYowx3g4CAIC7acmSJdq6dauOHz/u7VAAANUA10kCAAAAABckSQAAAADgguV2AAAAAOCCmSQAAAAAcEGSBAAAAAAuSJIAAAAAwAVJEgAAAAC4IEkCAAAAABckSQAAAADggiQJAAAAAFyQJAEAAACAi/8D0Dzx2/hC9G8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predicted_values = results.fittedvalues\n",
    "\n",
    "# Create a scatter plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(auto['horsepower'], auto['mpg'], label='Actual values')\n",
    "plt.scatter(auto['horsepower'], predicted_values, color='red', label='Predicted values')\n",
    "plt.xlabel('Horsepower')\n",
    "plt.ylabel('MPG')\n",
    "plt.legend()\n",
    "plt.title('Actual vs Predicted MPG')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9a2313a",
   "metadata": {},
   "source": [
    "i. There is a negative trend with the predictor and the response. As shown in the graph above, the higher horsepower a vehicle has, the lower MPG.\n",
    "\n",
    "ii. The relationship is strong, there's a clear pattern in the data that demonstrates a negative trend. However, a better non-linear model could be used to capture  the relationshipo better.\n",
    "\n",
    "iii. Negative.\n",
    "\n",
    "iv. Around 24-28mpg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "id": "ee24f940",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(24.46707715251242,\n",
       " array([23.97307896, 24.96107534]),\n",
       " array([14.80939607, 34.12475823]))"
      ]
     },
     "execution_count": 346,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_data = pd.DataFrame({'horsepower': [98]})\n",
    "\n",
    "new_X = MS(['horsepower']).fit_transform(new_data)\n",
    "\n",
    "prediction_results = results.get_prediction(new_X)\n",
    "\n",
    "predicted_mpg = prediction_results.predicted_mean[0]\n",
    "\n",
    "confidence_interval = prediction_results.conf_int(alpha=0.05)[0]\n",
    "\n",
    "prediction_interval = prediction_results.conf_int(obs=True, alpha=0.05)[0]\n",
    "\n",
    "predicted_mpg, confidence_interval, prediction_interval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "id": "8ed2b839",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "ax.scatter(auto['horsepower'], auto['mpg'], label='Data points')\n",
    "\n",
    "ax.axline(xy1=(0, results.params['intercept']), slope=results.params['horsepower'], color='red', linestyle='--', linewidth=2, label='Least Squares Regression Line')\n",
    "\n",
    "ax.set_xlabel('Horsepower')\n",
    "ax.set_ylabel('MPG')\n",
    "ax.set_title('Horsepower vs MPG with Least Squares Regression Line')\n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "471d8f89",
   "metadata": {},
   "source": [
    "9. This question involves the use of multiple linear regression on the\n",
    "Auto data set.\n",
    "\n",
    "(a) Produce a scatterplot matrix which includes all of the variables in the data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "id": "76882b03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wW091nu9S8ckSf/2L27h3fRua6fDv/3Ufv/2tfcTrbcLXFMtxcCpBguO6mHZdnf5acXz6bMutp1h+9v/CPvkN34N1Fg+HJnLV4DyvWZye8R56AVWaI960qvW1kwF1FicTmTJl0yZQqbRM57QLbi2uUwegvyWIInn3viDA6qt0/ewfyzDbuT+T15nILH/l8DoXgMuchI51kcmdNzvnjtWFfNKy2s+dnilUiw+243J0InfR77EkU36O4/DZz36W//E//ge/8zu/U/33b3/72wwODgKwfft2urq6eOaZZ7j//vvnvYeu6+j62QxtLnfxH14tRlOlaivXZ27rvyzv6Vck/vaTN/HnTxznq0+f4rt7x/nRgQnu39DObQMtrG4J0R7z0x71E/YtyVO65OhrDtHbFGQiU6Yl7GPNRc7v1rl8RHwyqaJBrmwS9st84MZuGoMqOc1idWuo2nJdZ+niup4qbWSOqI3LRLZEoqAz0BbmfTd0c3wqX7Gbil6zY61Tm9lz+FrM5DVGUiU6G/y4rif0ddfaNzZDWufNRVvEz0dv9hSf26P+qrvB5cZxXPaNZciWTTZ0RIkGlGrXiCgI9b3YMuD4VJ6JTJnepsBFa7TMElBlruttYDJTRhAE1rxOUulC1sk3E9tWNNIUUj3HktYQoWV0X0X8CrmySbKgE/LJrL2Ekdwl+Wn8+Z//Obfffjvbtm2r/lsymcQ0TTo6zord9Pf3MzIyUvM9vvSlL/HFL37xsh/bN3eO4LjwljUtrLmM/sWSKPB/PbCe+ze08yc/Ocru4TSPHJrikUNTc14XVCXao342dUW5e10b79zSWQ9irgA+WWD/aIZE0SDqK/PRm3qv9SG9KXnpVJLHj0zx0ukErusJYjluF6ta69W75cBYusRPD06imw63rm6mMaiSKupYjsvatghHJjy7nQNjWT52cy+bu5e+UvVyw3FcHj08xcnpAs1hlQe3dLBnOEM87yVfbl7ZBMCpmQLPnUwSUmWmcxo7VjXz8Vv66hvaOhdNS9hHS/jCVMCPTeXYO5Ih7JNZ3RrimRMJbMfhzrWtVaHFWrxwKsGrQ54F2eHxLB+8sQdRgIJmcV1vA80X+PPrLE5OTOf56cFJAPaNZnjv9cIl7StUWeQDN3bz4qkksigsmJQ8NpXjr546RcmweXBLJ++/8cJ1DsZSJQ4ezyCLIneva112197KluWpN+VXRI5P5ZnMaYR9EretuPiE45IL4g8dOsTDDz/8hufdf/d3f5ff/u3frn6dy+Xo7X1jgZjjuHx/rzez/tHtV0a44oa+Rh7+3G0cGs/y5NFp9oxkmMiUmcp6giolw+ZMosiZRJEfH5jkj398hM/fO8CnbutHkZbs9MSi47t7xinoFj5JxLAdvrNnnB11z+KrSqKg8/LpJDM5Hc1wkCUBURB49NA02/vrApDLgSePTFPUvVGJRw5NokoSTSFvgzKcLhGrzCo6rstUTqMtunS9opcrx6fzHJ/yki0zeZ1/fGm42nY8ndNoCiqsaAkxmfFGxFojPlojPta0h5dV1aXO4iNVNHjs0DRO5YJ84sh0NWB46tgMa9sjC4pondsur5kORcPiXVu7rvxB17kqjJ83DjGZ1S65ONDTGOSDNwYQYEHR1r9++hRTlTHZb706wk39jRcs4vnTQ5NIPu+6/fGBST51mbqA61xZdp5OYbsuLWEVURB45Uz6ot9jyT0hn3vuOYaGhlizxhOMm5qa4ld/9Vf54he/iCzLTE1NVavxQ0ND9PXVDqZ9Ph8+3+XNVr18JslEViPil7lvw5X1dd/cHZtXdSrqFvHKLNYrZ1J8d88YY+kyf/KTo3x3zzh/9Ys3sqJ5eWa0rjYCbsXjGCQRTMd6/W+6xhyfyrPzTBKfInH/hnaalrhi++xsdFCVcHHJlAymcmVOxQt0N/j58PY+njgyRV6z2NId44arpFD8RsiUDJ44Mo1m2tzU38SGzjd3W7jtgmbanm94TsNwXNojKgXDoaBZNAZVbl7ZRFCVarbN6pbNz47GmalUfW+vJ9quOucLDBZ1qyrelSnp/P73D5EpmbSEFVoiPmJ+lamchuO6NAZVruttuKLHd+49t21FExu73tz33FLHdV2ePZngzEyBREGnKeTZGN63vg35nEKGZTs8cnCSvSNpogGF/uYgJcNiMlsmntNRJJGjk1lWtoRrerb3NgUZTZU5MZ2noFtE/DJtUT/RNyCCVmfx0NcUZN9IBvC0Fc7VXLlYdg+nef5kAkmEt23qqOlYVTJsTNvTWlJlcY5Q6yyTmTK/8o+vkijobOiM8sdv9ZJGp+IFTmVyiKLA9v7Fv8+p49EQVBmczlMwLBRRZG3TxZ+7JVea/dznPsfk5CRDQ0MMDQ2xY8cO/uZv/obPfe5zPPTQQ/z1X/81ALt27WJ8fJy77rrrqh3b9/Z4Vfh3be28JhYIIZ/MypYQtw+08NtvXcsz/9c9/L8f2EJjUOHIZI53/Y/nef5k3W/+cnA6WcJ0wAUsB4YTpWt9SK9JTjN59NAUiYLBeLrMY4enXv+bFjmzYyPtMT+tER8lw8G0XIqGxdeeH+IfXxpiKFEiWTB4+vjMkvCMf+zwFGPpMomCweOHp9/0fud3rmlhIlOmqFukyyaJgs7BiRyD03kk0VOqHUkW+dC2nprtsy+fTnF8Kk+qaLDzTIqT0/lr8Fu8uVnXEaG7kmAJ+2TevbWr6ol9cDzHVLZMXjM5NJFj/2iWg+MZyqbNZKbMjw9MEM9f2fv28cPT1XvuiSPTZEtv7ntuqXN0Ms+zJ2Z47uQMz51McGg8y5GJHK8Oz61y7R5Oe5VPAYaTRUZTZW5f3cJIskTRsJgpaPzNs2f4x5eGGYzPd5+5dVUzq1tDhH0ym7qilAybXWfqyuPLhdWtns7KzSub+MANPQsWwGafLScWeLaUDZtnT8RJlwxSRYMnj07XfN3GrijxnMZMQccnSzVn53/n3/YznCxS1C1eHUrx1097GmDHp/MUDYu8ZnJ0cvk947wCVIp0cfko0wMcncxSMCws20W3HE5MXbzL1ZKrxL8WX/7yl/nEJz7BmjVrUFWVb3zjGyjK1cmKaqZdnU9//w09V+Vnvh6SKPDRm/u4a10rv/HPe9g7kuGX/n4Xf/mx63n75s5rfXhLmpHzgvbp3OK2QdJMu9oyCFStuZY6b9vUwfb+JvaNpLFsFwdwLZdEQWcqU6YxdDawm8ppPHN8hpxmsrWnoTqLu5iYbR0Hr0W8bNjEAm/eys6a9gj3bWjnqeNxZgo6tuOSLZvYjstQokhAlTiTlDidKNJZoxJfOu86L+gWPz82zal4kbaojwc2dSwrz9nFiCKJPHRTD0XDxi+LyJJIX3OQVNFgOFlgJFUiXzYxbBfTcrAch0TBwLAcxjNlRlMl2iLzxyQG43mePZFAlgTu29BeTRRcLEXj7DXiuC4l0yLGm/eeW+qMpkscnsiSKRnEczp53aJs2vM6LErG2bXWBQzbprPBz7b+RlIFg9OJIobtYDsue0fSDLSFq1X+E1N5msMqPQ2BOS3PtuPy+OEphpMlOmJ+HtjUcVF+8XUWFytbQq85j53TTP511wi66SnOZ9eYbO+fu69wcdk7kmE4WQIBNi/Q6SPgdXfolkNXg590yZg3HpYpmZi2i+O6SKJAouDtO2N+BUfxIQjenPVy4pXTSV48lQS8xNsv7uh7Q5Z/i4nBeB7DcnEB23UZz1x8MXDJn+2nn36a973vfQC0t7fz+OOPc/LkSQ4fPsw999xz1Y7jxVMJCrpFR9TPTSsWVztLZyzAv/7qDt6xuQPDdviNf95T95t/g5zfImrZl8+T+vhUnu/tHeOpY3EM6/LYkbSEfPS3eJsNQfAUP5cLu4dTZMsms/pXDl4Cq68pVLWba4/6ORUvVH1a/+HFIU7PXHzW80qzbUVj9ffoawrSFlleAjWXwp1rW2kKqgQVCcNykEVv0206LrrpWQoeWcCaZWtvQ3UTHQ0ouC7sH81S0D17updPJ6/ib/LmRaiodaeKBpOZMg1BlVWtYW5c0YQoCFiV9VQQBHJlsypmF1TleWsteGMSjxycIls2SRYMfnpg8qKPqaBbPHpokoLuVbDA20S310gY1Fka2I6LZTmVTg8B23Vx3dnE39xn6ebuGLrlUDYsgopER8zPVE6jqyFAQJUQgM5KEDWrNH9qpsCe4TQF3WI4WSJVMqpt1o1BhbBf5vBEjoJuMRgv8MjBSb6/d5xHD00tm8T5mwnNsBhOFtGM2uduMqNVA3iAM4n5Pt8l3WIqp5HTTPJlk/F0bevBM8kijuslPYdTJYwaVnTb+xuYXQ0FQeD2AU8kb1NPDFkSkEWRe9Zd2VHeq81gPM+ZRJFjkznG0yWmsou/o/JC0Q2bc59umnHxVtXLqhJ/LZm1lXvrxvYFhSuuJT5Z4n987AZ+97sH+bfdY/z2t/fjkyXevrnj9b+5zjyivrnn2H+ZxsvjOY1HDk1WhJ9KOK7LfRva3/D7iqLAe6/rZjKn4ZfFZaNe+upQip8emiSrWQRViYJuIwCmbfMvO4fxKxJhv8La9jBtYZUXBhOUTRtVEnnk4CQ7Vrew80wKvyLy4JZO2q+xMNp1vQ30NAbQLIfOqH9RriVXk8lsmX97dZRT8TwtET+67ZArm+imF3Q5rkM8r/HK6QS7h1NYjss7Nndwx0ALqZLJVLaMYTmUTQtJgO/uHUMznWrVVjPrnr1Xi2/uHOEbLw+TK5us74zwe+/YgE8WWd8RYfewietCQBHxKRKNQZmprLfZ/doLZzg+leedW7toCqkcnczx5JFpdg6lWN0aJhZQ0Ez7oq2ZHjk4yVhlQx1QJd5zXRcrW0Jv+ntuMVLULX5yYJKZgs6atjBv3dg+71xrps1/f/IEP9g3QUG3aIuorG4J09ngx7AcfnY0jm45PLilE58s0Rrx8Yu39HJ8KkdJtzkykaMjFuAXbullOqfxvb3j7B/NYNgOH725t/IznDk/76njM/Q1BbmuN8Y969rYeU47vWk7PHNyht7GYPV3+OC2xdGl+WYnXTT48cFJ8prJdT0NNbVSxjMl/uiHR8iUTZpCKl98z6Z5lfHWiA/HdUkVDfyKSEd0fnHEdkE3HQKVjq/SAoHa6tYwRd3Gsh26GgKoNYSoO6J+XNfBtMEnuUT93ntKwHCiiCSK1Z+zXDg+nef5wRks26UhqPDpZSTaFztPa+NSbCmXfCV+MeA4Lk8ciQNeEL9YkSWRL39wKx+4oRvbcfn8N/fw1PH4tT6sJcmZ1NxsYKJwebLs6ZLJOV3vpC7jDJAoCnQ3BJZNAJ/Iazx3MkFTUCXmV1AlkYhfRlVEQCCe0zgVL5ArGZycLnBwPEfZsHAr1ZnTMwWeOzmDZtpkSmY1EXetaQ776G4I1IMJvOTo0ck8JdOhqFvc2NeILIkEfBKqLCKJIiFVZihVYjxTJq9ZPLxnnK88dYqHd4/xv58/g27ZnIoXOTCeJeqXmclrlAwLnyJyY1/Dtf4Vly3uOQuZZdl8a9cIqaKO47ocGs/yxz85wt6RDEPJIs0hH35Foi3q546BFsI+BUEQKJsO01mNE9N5nj4eRzNtnjgyjeW4NAaV6qzyLauaL9qKLl06u7bKokg0oNTvuUXKi6eSjGe8hNzhiRwnpud3Ue08k+S7e8fJayaW45IpW3Q1BAiqMiXDpjmkMpQosbsyG++6LumSRVvET8SvEAuoSIJXCbUdF8t22dQVozMWYFfFSm6gLUxzRRB2PFMmpHrdQftHs4yly2zsihLxextxURSqr4W519tS4dx7eDnx1PE4ibyObjrsPJOa4zQwy/f3TpCpaNKkigY/2D+/e9WviLiuS65skitbNUffAqrEQFsYVRLwKyIbFminv2ddG2vawgy0hdmxqonWGl143351DMvxuilLpsMP9k0A8L294+iWQ8mw+Mufn7yoz2Kxc2KqgIiALAropsOB8ey1PqTLRmPYW3PAG6cI+i5+TKBeib8M7B3NkCjoRHwyO1YtbmsrURT4sw9tRbccfnJwkl//p918/dPbua2u2nxRWOe1OjmX6WHX2xQg4peryqRvdnXyhXjxVIKnjsU5MJbFdl18ikh7zM8t/U385NBkNdvtuC553SLs91odOxsCjKfLGLaD6zInYXK5RhfqXD4My0E3HU+t3HEAl/XtEXK6xUS6RMlwCPtl8rpVPZe5solpey21lu2SLpmUDIuZvF4deXr3dV2saYsQUJdX1WIxMJkp8619XsfLzSubuLm/iR8dnKx8/jaBSpLNqLQ9t0f9hCoe3Suag6iSRLZsEQuYGJZDybCZyeuUDRvbcavt9StbwnQ3Otwx0MLOoRS7hlLcu77tgtfMDZ3Rqs93e9S/5N06ljPmec/bWmv1dE6vXhteMC6wti3EgYkspu0wUzDoa5K9mWLH5UcHJjg4lmU0XWKgNUxz2Ee4Mmt7/s8zLYdMyeCH+ydIFAy6G/20RXzE82e1cAzbIeJX+OSt/aRLBiFV4gf7J4hX9HKW2rN8z0iaF04mUGSRd2zuWFbORhdyPfnP0zIIyPOfFaOpMpIo0t8SQhQETkzn57lpRHwym7tjZMsmkigsOG4rCJAqGGiWPe/4ZnHwZuFxAQFKprfPMR0HoXLta8tsH6PKoqfa74IkuoR8y+eZrYgiqixiWA6SKBC8hP1IvRJ/GZit4N29vm1JiJjIkshffPR67t/Qjm45/PI/vMor9dnQi2KgZa5yaFMNC5pLIajKfOzmPh7Y1MFHtvfOsxGsA4m8ziunUwQUCdNySOR1JEFgZUuIsmXT1RDAcVw009v0J/Ia4+kSH7qxh4agQnNYpTMWoDXqY0Wz1+ooiULdfmwRcvtAC5IIiiggCgJ5zSJdMkjkNSQBVFlgPF3Cst1qBawxqJItm4iC9/fZoDHk8+arDcuhI+qvB/BXiGdOzlDQLWzH5aVTSY5MZBlKlLipvxG/LGI5Lpu7o/S3hGgMqoR9Mo7jki6aZMsWBd3Cr4gkCwaZksFEpsxIskSmZBBUpaqeh+u6vHV9G6+cSWJYDobleFX6BTbA5/OWNa2874Zu3rGlgw9t6/E2x3UWJTf1NxJQJXTTRrdsfDX2WTf0NbC6Mg4hid588MN7xzkymWcmrzOcLHpWYQ1+vv3qKI8cnOT0TIGyYXN4IktjUOHe9W04jktPQ6A6667KIresauL5wQSJvNdJMpHR6GsOVvd7fU1B+itBriqLtEf9hP0KD23r5e2bO3j/Dd1L6vlS0C2ePTGD5XjiqoulS+1ysWNVM0qlBNrfEqSvhh/7h7f3MtAW9pJB7RE+UGMUoiEgc3Qiy2OHp3j2xEzVdeNcdMtBMy3CPpmQT1qwI+NrL5zhpdNJXh1O8c1XRpnMzu8O+I07Byo/wyWkSvyH+9YCoIoiJdOhbDo0X6a96GJhS3cMWRIRBIgFVFa3zrfnW6q0R33V544ozO3cuVDqlfjLwM+PnZ2HXyooksj//IUb+JV/3M2zJ2b4zN/v4u8/c/OiVOxejEzl5y6wBe3y2RKFfHLdq/g1mO16EASBnsYAAVXEr8gMJ0uIgjeSIIsCs1o0Lp6K6/98apCOWID+lSF8ioQkCty73hOBUWWx6l3tup7dR121/NqzoTPKe67v5vB4lsMTOcbSJaYrVdlZoSipEuA/sLGdsWwZuxIQTuY0PnlrH6vbwnzj5WF2nUlj2jaCADW00upcJmzb8XoDK0izm+XmMP3NYZpCKh++qZfBeIF9I2nymknZsDk9U8B2vQAqVzaJ+GSmsxqmAEPJIj89NMm2/ibesqaFREHj5HSRXcNpcmWrmpAxLAfLcalRNKvJaylP11k8tEX8fGhbD//44jCmbfPjAxPca7Zz/TlVz4G2CL9292pePJlAEkX2jKSYKRiUDYuCY9IYUulvDvLYkWmOT+bYNZzGcVyaQiorm0Pc1N9EsqDzjZeGQYDbV7dw/4Z2AqqEX5F46micp4/PUDItOmMB3r65g1++Y2XVQaTWKIYqi0uuAg+eQOC5XWq1xCWXMiuaQ3z61n6SJZ2+plDNUZyIX+FP37/lNd9nMqtxZDJPXjORRE89/f03zg32Dctm/1iWZMFAEFhw7GfvcIqZSmdHQbOYymp0NcxNLtw20MLNK5sYT5e5vjdGa8QL+nTbqQriLsWxjddCsxz6m4NYtrcnu5x77WuN43rXh+N63SGWc/FdFPUg/g0yldU4MV1AEDxP46WET5b4m09s41f+8VWeO5ng01/fWQ/kL5Bkce5CUqoLZF012ir+8IcncqxsDdHVGODJI3FymokqCcwUdFwXrMq+Y1b5eihZpKcxWFWvv3FFIw3nZa2zZZPv7hkjUzLpbgjwvhu6l0R3zXKjoFkYlkNTWOXe9W3olsN4tsx4RsB1PXVyx/W6Ch3bpWTY/PTQFKosYbsuW7piGLbDMycSvHImzWiqjOO6zBQMcprNTw5M8Mnb+lFqiAfVeWPcNtDCc0NFTNtlS3eMDZ0xSobNnuEMAPetbyOgSqzriPCtV0eYzGq4rovjwu6hFOMxP0PJEgIu9uzIi+CSyBu8dCpBS1hlOFlGlUVKhl1VEh+cKRBQJL7+whDvub7rki3n6ixOpnOeNkK6ZKBIIk0hdU4QP5Uts3ckQ8ivUDIsTNurViaLBrIo0hkLcHI6j4vAoYkcpuV4G2fbqSrTf3PnCAXNIuL3unbWd0Yo6p6OyqlEgXTJqFTiy6SLBhs6o8sy2RsLKNzU38irQ2kkUeCuda3X+pCqlAwLRRJfc+3WKm3mC52b/aNp/tuTJykbNtf3xviPb1+PKF78s2DvaIaiYeG4Lq4jcLiGS4rluBQ1i5JhAULVCeN8dMut7lVEx7PbPJ9/2TmCZjo0h32MpjWeOp6ofK+DWxmnLiwzF4S2iIpPFhEEgcaQb1l10O0byWDaVCzm4Nh0/qLfox7Ev0GeOzkDwNaehnkBwVLAr0j87Sdv4rP/8CrPD3qB/D/80s3zvC7rzOX8vPRS0H/JayaHJ3L4FYkt3bEl3T76tk0d3LGmhUPjWZ48Mo0qi8iiwHROw3RAFEAWvEDedWH2eT+d12gKK2xb0cCda+dvTF4dSpEpeQ/Z8UyZwxNZru9t4MhkjmzZZF17ZNkIAy5W/tczgzy8exxJEnhwcwefv28tH9rWwzu3dPKlnx7l58em8UkitmNjV8615bhM5zSCqoxPFslqJrmyyapWr9KaLZtE/DKO60cSBSazGkcnc2ztaUAzbR47PEU8p7OyJcR9G9ouWiTtXOJ5jcF4gaaQyvqOpVeFe6OsbAmzoa8Dy3Gq3S3bVjTx8ukUz56Y4enjcT51Wz9tUT9F3Rt50Uwby3EJqTKO6wURqaIxZ52NBRREYf5Ge0Wzpw7+3d3jSKLAsckcB8czvHVjO2/f1Flz01fULQ6OZ/HJYrVds87VJ6eZHJnIEag8k15LWLCgW2QqVUbT9nQyZpnMlvnKzwcZjBdoDKn0NQaI+BWm8xoNAYXt/Y30NoVoCCqcihewHZegKmE5IiGfTFvUR1G3KFe0VPKaxWiqxJcfOcZgvEAkIIMLnTF/ZTbX096oxd6RNCOpEh1RPzevbHpDa8m15C1rWrlpRROi6BV8FgOPHZ7iyEQOVRZ519bOmnP6+0czPH18BheXOwZauKnGXvYbr4xUz/W+0Sw7z6TZsXqunpXrurw6nGYiU6anMVjTlvd8C9hwjXltURBoCqsYlWp5U6j2/iHql4nndFxAFgUawxceT4iCwGzIv9wS031NISABuKiyl4xbLoxnynOecbnSxXcZXNUgvrGxseaCJggCfr+fgYEBPv3pT/OZz3zmah7WG+L5QS8T9pYlNO90PtVA/h938cJgkk9/bSf/+Ms3s21FPZBfCL8M5wrHL45H3MIYlsO3do1WBfOmcxoPbFq69oKW7XB4PMtzJxMVRX+Hou61tLmul9WUJBAqf/falhzCPgVVktg9nGFNe4TOWIBs2USVRGRJqGbVReHsnNLLp1NVP/F9oxl+cccKov6LVxGt8/ocm8rxrV2j6JUqxKOHp3nX1i5WtoaxHId/f/8aOmJ+Hn51hETJoGw4lWSUZ/NTNGwifoV71rUwltbIlU0006anIUCyZCDpNh0VITUBgYJu8cJggtMznr/vwfEsnQ1+NnVdmhZFumjw7V2jmLb3aC7qds3N33JHlUXUcyR3RpMlnj3hJbwNy+EbLw/zO29bR0fUV62o+2WBmF8m4pMxLIfmkIKAgO04CKJAQTc5MJpmOlumZHpjERs6o9wx0ILpuMiSSLKgM5XTiPhlBqcLPClO8e7ruuccm2k7fPvV0WqybiKj8c6tnVfvw6kDeNXSb1eeSabtMJws8p7ruxd8fXPIx9qOCIm8jl+RWN/hzcbqls2TR6ar88jpokFe8zqptvbGmM5qCAKUDZtbVzcjCQLJgk6qZCKLcMeaVj51W793fbpwJlHAdrxnjCCAJHr6DJphYbmeDVRnNMAt5wV9Oc3kTKLI08e96/z0TBFVFrmhb+H7v2RYWI67aJ8nV7PqaVgOk9kyrRFfNfl3LlNZjSOVSrdhOTx7MsEnzgviHcflmROe44yLy/ODCbb2NMzrpjs/CqlVhD84nuX5k97+/vRMkaAqzRuN2NAZ5ZaVTQwlS4R8Eg9umb+OhFUZ03KZrFyHCyV2z0p5eKp1Vo0Rho/f3MexqSzxnM6mzgj3rPOurb4mP3HNq1avbV8+M+PgWfKtaguhmw5NIZVk0SBawwVgSeKeJ6C52Nvp/+AP/oA//dM/5R3veAc333wzADt37uTRRx/lN3/zNzlz5gyf+9znsCyLX/mVX7mah3ZJOI5bvcnfssRa6c8noEr8709u55f/YRcvnkryqa/t4p9++ebXfAC9mTlfO6m28+fiIV0yqgE8wEiydA2P5o1R1C2+e3CYA2NZEgUdvyIyli5T0L2zIAlU58Mc1xNFo9Ka2xJWSRQMQj6JsmHz6KEpjk7mKrO0nlr2WLpMX1OQ1W1hNnZF+e6eserP1iuWV4t107XUSRWMOYley3aQZZHnTybYNZSioJnsG8uQKls4jjeradouLqBINo7rElAkYkGVTV0x/uvjJ5jKavQ2Bfm1O1exeyRNtmTR3xKkqJv87bOnOTVTwC9LdDe+ce/48Uy5GsADjKSKb8og/nxEqWKLpFskiwY+WWLnmST7xzIkCgaGZVMWBIp6GdPx2kobAgqrWlUagyqHJ7K4LuwZzaBKIrcPNNPVEORtG9ur3s3X9cZ4/PA0iuTZET13MsHgTAFJ9NS1Z6+rXNmsBvAAw6niNflM3uykit4zKVHQOTVT4NB4Fr8i8bYFksurW0PsWNXM8ak80YDCW9a0Mp4p83fPna7uw9Z2hHFdgWhApi3io6jbTGQ11rSFOTVT4OhkFr2im9AZC3Dn2hbee313te3acT3hS9eFmYKOgOdckCgYNAQUbuyJIggiH7+5l4l0mYJm0Rrx8fLpJDvPpNg7nMHBZU2bp3b/Whaxh8az/OxoHMd1uaGvgbvXtV32z3ipkCkZ/KfvH2ImrxP2yfynd25gZetc8eDzmzSkmgVBrytjNinb1xSkViPEp2/r588eO05es7h1ZRM3r5zvKpUqGtiOWxFSlGqey5UtIRqDPgYrP+/GvvmFr0RR4/h0viq4uWsoVfMzyOsWogiuK2DaNqnC/J83li4xkipTMiyOx4uUDC/Z3BYJktC9Z+e6juUVxGumzWiqRMnwVPtrnfelyvh51oZl4+Jbeq9qEP/888/zJ3/yJ/z6r//6nH//X//rf/H444/z8MMPs3XrVv7yL/9ySQTxR6dyJIueYu5yCHYDqsTffWo7n/n7nbx8OsUn/24n3/jsLfMsM+pAXjvPYu4aHceFEgsoBFWpar3W2eC/xkd06Rwez5EoGF7bdNng4HgZy3GrgmWW6z3wg6pCVjORJAGfLCEJ8PzJGQzbpSWs8raN7Ryd9DL7o+kSubLJDX2NrGoNc8dAM9srD/bOWICJjNe6qUhCTf/WOpeH1W1hbuht4OXTKRDgwa2dtIR8fOdVL5GyfyzL4HTBU/w9b2bQG4P0HoLjaY3OqJ/WsEp7xIfjem2Tv3T7qupm6itPDQLQEfNzdDJPR8xPc1hlQ+elb4Lao167/qwQ1HJq/btYSoanNN8c8tHdEOStG9r5+xeHkEWRLT1Rfn7Ma3k1LRvvVLpYuMwUdFa3hlnZEiJVqbrEAp7jgOt6Vl7xvE5vUwijkjDRLRvLdhloC5MpGRydzGG7EFQlXh1Ksbo1xLpKBSziVwj75OrsaNeb+BxdSxqDKgFVYiRVwnUh4pc5PJHjxhWNtNQYWRIEgQe3dPK2je3V8Ydv7xrl6GSOsF8mUdCZyGj8xt0D9DUF+J9Pn2IkWSJbNmkJqxR0i3heoy3iJ+ST6G70s74jQrZkYKierWtb1MdISkYQvP2Q7UCioFPSLbZ0RWgO+4nnNX6wf4LjU3ksx2VrTwzddDg+nSOnGeQ0E9NyuHFFI2vaFl5Lnj05UxVp3TuS4cYVjYsuOZwo6CiSWNP//HLyk4OTTGTKFHULw7J5eM84/+cD6+a8pi3qZ3t/E7uH0wRViXvWzx+Hc12vnVwSBVzXRZaEmva/QVXmphWNlE2blS1hbMedN17YFvVxcDxL2bAI+WTef8P8LpE9I2lOJwo0BRUEQeDhPWP83js3zHlNpmRiWDa263UAFPXaJZ+gKpEseH9XRJGof3549rUXz1DUTAzbGx/7t1dHAa+7aEVzEFEUGEvNV7VfyiQLBmcSRQy7kmCbN8y6dEmf1z5/Kb/ZVQ3iH3vsMb785S/P+/f77ruP3/md3wHgwQcf5Atf+MLVPKxL5rlK9vfWVc3LRvyqGsh/fRc7h1J84u9e4V9+ZUfd6uw8FnvQfj5+ReK+De38aP8EYZ/M3TXmwZcKpuOwfyzDVKbMeKaEZnkKZxXrVKAieOZ6lXXPbs7FrwgkigZ+WSJTMnn2RKI6gymJAqbtcHqmgF+R5swA3jHQQsgnkS2brO+ILknti6VCUJXobQqiSCLNYYVP7uhHFKkGxgXdQjNtdLv2485xXOJ5HcO0+OG+CXYPZ0gVDZrDKomCzke29+JXJBzHRRaFiviVzPYVjXxkey8tEd8bmilsjfh4/w3dnIznaQzOFd56MzGSLPHD/eOYtktnzM/m7igF3WZVS5CAKtMdCzCZ0ZjJa5ybi/HuWygaFh0xP72NQXBdDk9kKZs2qiwgiSKNQZWuBj+rKuryLwwmePl0kmNT+eqcYXvER6pk8OpwGlkSeWCTN9qgyiIP3dTD3tEMPklkW//8BPx4pszRiRzRgMK2FY1LWj9ksRJQJR7a1sNYqkTZ9KxBBeH1Z3rP1S/wgjRvfWgOqaxqCTKULLJ7OI1pOVzf28DJeJ54Xq8kdr0tr2E57B7OsH80S9gvg+vS0xj0glZZxK6sC41BBdeFkVSJgxM5WiN+REEgUzKrCfFEXmf3cIZEQcOyHVRFImRYnE4UODKZpT3mqzlTrkoieqXrRxSEmvZk15LZ+XNBgLvWtl7RQlVBs7zEm+ONsi3UEn7HmhZuH2heUGdAELxEamPQSzrIolizcvvKmSTJokFZt4ECo6kS/ec5VUxkPMHNWfHM8UyZ1W1zuwNmq/Ozx5OtIVrXGfPWPKvyf83h2gmRNa1h0kVPOLE96qOpht1YtmwyU/C0QkRBwHa862o4WSBnqwgC9DUtr6Tk0clsRTvFIVWAwel8TS2EpYhPEUF7Y328VzXybGpq4kc/+tG8f//Rj35EU5PXhlIsFolElkY7yHJppT+fkE/ma5/ZzrYVjeQ0i1/8u1c4NjVfdfPNzFJL2WimzZNHPSvEgm7x88rc3pJEcPHLXlBtu+CXBRAqQbxQabtzvYx3UBHobQrSGlGJVPyowavmmY7DHQMt6JY3J63KIpNZjVTRIHOOaJEoCmxb0cS969vpqiteX1EOjedwXK/qIokS+8cy+GSJt25sJ1M2KJt2zcqKVBEyFAWv8vLXz5zm1ZE0siRg2DYlw6Yl7OP4lKf+KooCb9/cScgnEVQl3nVdJ50NgcsiCtTbFOTe9e3c0FdbA+bNwK6hVHWsYDKr8cihKRzXZaA9Stl0cIBbVjbjIsxrk1Ulga6oH8dx2TuS5pWhFI0BlZUtIdZ3RPnNu1fz+XsH2N7fWJ0bzZU9SybbcVEkgYAiVT2uVzQFCShSVdcCoCGocs+6Nm4baJkXYGVKBt/dPcbB8SwvDCb4+bFpxtKlqqVhnctHc9jHb947wKauGAFV4q61rTWrvqbtMJb2qurnct/6dtZ1RLxquWEzltEYShQp6CbTOY2CbrGxM8rq1jAfu7mP917fTW9TAJ8sEqi00I8mi0xkNMbSJTZ3xhhoDdER8xHxyyiiSNGwaQqpNARUmsM+7l7bOi+pY9o2qizhIGCYXpdQsmDw0wOTPHpoat7v4zgu921oI+KXKwn2tmqCIa+ZjKVL6Na1G9LLlAwOj2eZzpVJFHSvM+oKMpXTztGh8aqvC/Faa6ogCLxjcwchn0xQlXlgc0dN0crBeJ5HDk7y5LFpfnZ0GqdGWWY4UaRk2MiSQEm3GUnNH0G8dVUL7ZVxHkkUePum+TbTgghv29BGf3OIgbYw962vPS7SEvXRFvXTHPbREvYTqKELIIsCoiggVP4++yQsGTa2640hpcvLa52ayGrkypXRm6JRTZ4tB1rPEzmsoYv4ulzVSvx//s//mc997nM89dRT1Zn4Xbt28dOf/pS//uu/BuCJJ57grrvuupqHdUlops3OymzLHWuWblVzIcI+mb//zHY+8Xc72Tea4TNf38X3fuN2OmJLtw37cqJIYC+htSRbNqtqrADTWe01Xr24Caky6zoixPMauWkLFwgoXsVdlkSKuo2L11ZfMBw6hLPtzaIo4FNEwj6Ze9e18viRKU5M53Fdbx5SEj2xs+dOztRUr69zZfEr4nlfe0+1de0RdNMhoIjIkjhHAEYWoTmskit7AlmC61VILMfBdr3AHhcKuskrZ1LsHUmzui3MHQMtDLStvqq/35uF862dQqqMbjn4ZBFJ9OZZvaA8TK5sktdNLNtLjlq2y+HJLCfjBfTKDOTKlhCbuqLcv7GDhqDCn/70GJpps6I5xH9+1wY2d0d56lgcgPaIn2hAYX1HhMMTWXKayYnp/AWPhSUKejU5oFs239s7zqHxHD5F5EPbemiL1J+Bl5POWIBfumPlnH+L5zQM26G7IYBpu3z71VFm8jqSKPDOrZ2srsxLx4IKH7yxh6AqISCwdzTNK2dS+BWRZKVK2tXg546BVo5O5ciUTLb1NZHVTE5M5RlLl8hUno3TeY3hZImt3TE2dzcAMJIski6bCIJAT2OAgbYwd61r854jsoSLS39TiKGKxky6qJMqGRiWQ6LgHe/sKNYsp2YKPHpoCtN2uGVlM7eeI5A3mirxg31eB0tDUOGj2/uuiaWWLHqdpvG8d+zX9TRc0Z/XFFRpCJ5N3jRdhDL7+axqDfNuVcJ1WTDpvnckWxHE9Vq0T8eLrGqZWzxsCatkSgZF3SLsl2mpcUxhv8yX3r+Fo1M5WiO+mhXiiE8mXjCYzmsICAsmZ/KaxUxew3EhoEgYNSzmWiP+OYr4s12BmungVg4vv4BrwlIlUTCYlanRTe++Wi7c1N/EoalC9evOaIDBi3yPqxrE/8qv/AobN27kK1/5Ct/97ncBWLduHc888wy33XYbQLWtfrGz80wKw3LoivlZ3bo8WjvOJ+JX+IfP3MwH/uoFTs0U+aW/38W3f/1Wwr66M6G5hAJ48OYPYwGlWslY0Ry8xkd06axti3Am67CmPUw8p6HbnhCRgIssiuTPmTmzHCibNo1BlbBPQrMcbu5v5pZVTZQMh/2jGXTLwXYcEgWj+hDOlk1PVG2Z2bUsZgzLIeJXaA6rTKS91sVZUbjDEznieQ3Dmj8R57oQU71NjyhQSdi4qJJIybRBgJBPIp7XaYv4EQSBV4fStEX8y04EaLFw59oWioZFtmSyqSvKuo4Ijxya4icHJqrCckPJIi0hH7IoEPWplAwLB5eQXyZZMJBFz3nAxSVVMmgMqtzY18B/eex41Qd6OFnkuZMJ3raxnY/d0stzJxOEVJkNXVF6GgLE8zqjqRJlw665Ca9FRyyAX5HQTJtEXq9WbHXT4eBYlvs21IP4K8nLp5O8dMrrmljdFmZ9e5iZvLdxtx2XPcPpahAPXuJPNx00y8awbFzXc6oIKBIbu6IYlsv+sQynZ4q4gGm5rG0P0xxWGU4VqwGTbtqkigZjmTI9TUEEQeDu9W1YtsNgvMiq1hBvWduKKovct6Gd+zacrbp2xPw8vGeM5pCCYTucmPY25oIA0cDc/dJTx+LVAO3l00k2dkWr3Qf7xzLVDpZMyeD5kzOs74zS23R1n9fJoonlOEii6FXGi28scEpXuts6Y/6a3u2/9pZVHBzPcmwqR1dDgP/49vU130czLF4dTtMUVtnYWXvE8+njcX5yYBLXdXnrxnYe2DxfMT5VNCqVbK9z63yBMQDd9sRwRVHAdqjp2w4Q8ss1bexmmarYmcqiiMBZR6vzGUkWq59NTrNIFnQ6z0tC/O471vP5b+4lntPY1B3jIze18B/xRpBm+xNqdaotZbLls10ZDnAmuXyESDd1R1FFMCpWues6Izx3ke9x1aOx22+/ndtvv/1q/9jLzuyNeMealmXdMhkLKvz9Z27m/V99gSOTOf7dv+zh7z61/U0/IyiK8xXqFzOqLLKpK8pPDk4S9Mls7V26GgcP7xnDEP20Rfy8dVMHflniyaNTjKXLuO78VrL1HRHWVx74QVXi1+7yqq9PHp4iUTDQLRu3IoLV2xhElQXaov55NjQvDiY4PJEjFlB4+5aORSdCtJTRLZtv7RplLFXm8GSW/uYQ8bxOumh4fuKGxerWMPGcTkiVsGwHp2IdaLswltMJKhINAYVk0UAUBRRJwCg7qLJEumTSEfPjAoZlo0oiRePC2w51y+axw9NMZcv0N4e4f0P7a3pav9mJ+BU+fFPvnH+7b0MbO8+kyJa9VufhZBHddBAEAUmEaEAhp5kUdcuzisRro3Zcl5awj46Yn4AioZ6XWPPJIv+2e4yprEZBs9BNh6FEkbJhEfHL3NDXAAg1g4dahH0yH93ey4npPDP5MCfjZysltayv6lwaM3mdxw5PoZk2N69sYmul2rt7OF19zal4gTVtc4skofOKCIPxAkPJIqdmili2gyR6s/K24yV1S46JLErV5J9pO+weSZMqGFi2i+241Vls8Gb1VVmiI+bn3vVtRC5gnX9gcwcPbPbapP/8iRNkShYlw0IUBO7bcOGq88Fzqu6nZoqkiiaHJnJs6oouqNp/JYj4FKJ+pXq9N7+ByviZRJEf7Z/AdlyiAYWP3dw77z4qWw7bVjSyoTOKIgnzREvBC+B/73uHqgH3B7f1zFtjbMflr54+xVi6VP3Zd61rm3fvr2wOMpnVcFwXvyrV7DTIlAxawypORSg3vUCF+4XBGfaMZGgJ+XjXdZ3zrhejUmRQJKF6jLXobvS6TmzXJazKhGuMlRiWy51rWrEcl4hfpmxVOgyFs631ci2/vCWMed5GW1hGwnYTGQ2/KuOrJF6ylzAKcdXPtm3bfOc73+GP//iP+eM//mMefvhhLGvpzXC8UAnib1/C/vAXSm9TkL/71Hb8isjTx2f4b0+cuNaHdM2Rltg6ki2bvHQ6SWNQxSeJPHkkfq0P6ZLJVRY6RRJpi/gwbIeOiir4+UloUYDr+2KUDIuibtHV4GfPcIp00WBFa4hYQPEy5AK0hH1EAxLTOZ2hRJG/euYU6UpL5miqxCtnUhR0i/FMuep5XefyMJoqkSwYXitzRXnXsBwOV9wDNnRGaYv4uW2gha09DVUVePBm4QVAlSVsF29+NaQSz3tWZgFFxLQdiobNE4en+NG+CV4YTNRU/wVv05Cu2AvN8upQmlPxAkXd5vBEjsMTdY2QiyWoynRE/dWZxpJpAy6qLGBYDgFVZH1HhMaAF0DMxurNYZWgKrF7OM2jh6d4aFsPnbEAfkXk5pWNqBIcn8rjui4n455V2YunEvzVU6fYeTrJ3pEMogCbOqPzzutCNIZUblnVzN3rWvHJIrmywZq2EDfVEMGrc2k8cWSambxOXrP4+bE42YpSc+Sc+1KRBFa2hHnLmhYagwr9LUHuOmfMqWzYHJ/Ko1kOjUEFWfQSe35ZpCXsQ5FFbupvpCXizbjnyiaO6zKWLjOR9ea9y5VuHQSBWEChNezjrnUt3DHQ8roB/FRW48R0vtoZAhBSJWIBmVDlejcrgZZlO+weTtEQVHAcz4N+x6rmORoAt61uYaAtTDQgo0hiVdzs8ERuXjBzJWkKq/zijj5sx+to+nf3Diz42pdPJfnZ0Wm0BZKiB8Yy1XsuVzar9m/nciKeJ13y1v9s2eTweHbeaw5N5OZUzJ8+Pn8PYzsuE5kSmmlTNm2mslpNLYvtK5tY3RqitzHAjX0NNX3Hr+9poC3qORm0R/1sqSHuPJQo8g8vDvP8yQQ/OjDBD/ZNzHvNiuYQt61uxnZcXBfee33XvNcA/NLtqwj5ZFRJ5IFNHfTXaM0/NJFlOqdxKp5nMqsxlPASjKJwdk3zKcsriD9/U5cpLb14cSFWtIRQJbGaROxuvPgur6uaVj58+DDvec97mJqaYt06zz7iy1/+Mq2trfzoRz9i8+bNV/NwLpl00eBIZXN57jzTcua63ga+/MGt/Pt/3cdXnhrkut4G3rpxvojHmwaRxW8Ofw6z1eZZtKU2D7AAs8HdY4cnOT6dp4SLZc5d9I9MFBhJlSgbFj87Ok1zWOWGvkYe2tbD9v5G9o9mGEqVmCkYPHcyiU8RGUk57B5OczpR5NfuXD1PfOuNeInXmU/EryAIVF0+fJU/ZwPtWEDhE7euYCav0xhUKJs2/+n7hzg87vmHFyubNsdxKBlOtRJnOi4+WaVs2uweSlEyPL2EmbzGn/74CL+wo5/tK5uqG+lU0eDh3WMUdIuWsMpDN/VWW6vPRbuGolNLlVhA4QPbupnIlMiWLQLZMtM5DVWWAIGB1gibumMcGMt4Yy6Ve6yk2wxO53FcgeFkkZv6m/ij925ElSR+eGCC5wdTHJvM0RpViefKpIpeoFY2HdqjPlwX2iI+njwar57XD23rfd1ZY9txeXjPOLrlEA2oGLZ7WYQP63ice0+5rndPxVB4cEsnPz8Wx7Qdbl3VjF+RuKm/qWbLsiIJnE4USeR1smWDgmYhVpK50QA4tsPpmSKCAKbpiZSNZ8okizqS4L2ubDoEFRHLAc1ysB2XJ4/EEQS4f0P7gs48h8azPHl02hvnCSh8/JY+/IrkjW0IngDZTF7n8ESW3qYgjx+ZrgprRgMqH7+lb15XgV+RePd1Xbiuy988e7qa8Aqq0lVVr7csh6eOzyCJAobt8POj8Zrt6199epBnKiK5jx6a4kvv34J8nlPT+R1rkRrJU9d1OTCWxa5YxW7umv+zWiO+qnApQEONwFuVRRyXqn2kIoo1EzE9TcHqOIQgeLPt57Otv4nxbJmT0wU2dEZrVutPzRTIlAwsx8VxBA5PzE8+uK5LQ1CmKaQiiULN3x8gnte4ZWUT3jAYVX/6czmTKPL0cc+aU57IsSnmxR+mc7Yim1tmwnaqLKKfk8CqldxYqrRH/V5nQeXWbr0EvZWrGsR/9rOfZdOmTbz66qs0NnoZ7XQ6zac//Wl+9Vd/lRdffPFqHs4l89LpJK4La9vDbyqRm/de383ekQx//+IQv/2tffzw83ewsmX53FAXw1ITyGwN+1jTHubEVB5JFNmxaukmn24baGas6Inh3D7Qgk8Wmc5pvHgqyVS2jJ7VcaCi4ApTuTLZskGmaGI4DomiTqpk0hhSSRYNTsYLFHQT2/Y2cLLkVW69CpzJ84MJPnnrCjpjfiYyZVRZZHu9IndZaY/6uW99OwfGMjSHVVrDnkjQ9b3e5zyeKZMuGvQ1Bwn7FcJ+hf/60HX8v48c48hEjmzZs93RDJuioWNWAi7Tcpgp6PgVkZJuV/NulgsHJ3L83fOn+bfdozy4uZMHt3ayZzhd3QAmCgaHJ3JsW9HIdb0NnIwXKOkWDUGVjZ3Ra/NBLXHWtUf4pTtW8uKpFIoAz51KkNcsbuhr4PbVLcQLOtmSiWk73riC67U6a5ZD1K+QLJrsPJPivvXtrGoNMZ4uk61UV/eNeBtow3YwLQfLcUkUdBzH5cmj0zSHfciiV/U4PJHlpv4mBuMFdMtmoC08b8P88ukkz56YIaBK9DcHGUsvL//la80tq5p48kgcx3VZ3RauCna1hH3z2qTBC4bOH100bIfWiI/JSlXddl0E1xMnHU0WyZRMGoMKJcMmXTKIBRTSRQ3DdGiJ+KoVYlUWMSyHoE+qjsnopsPjh6eIBZTqTPpYukSmZLKiOcjhiSzZkolm2WimzdPHZ1jdGuLGvgaeODJNyCfTGfNXVc1Hz1E3L+gWxYr/eC0EQeC913dXO77uXNt6SWOb2ZLJ0yfi6KbDzSubqhv+nGYyks/SGFLpriH+NpouVQJUE0mAV04n+Xf3rpn3uldOJykbnmPIULLIULLIwHn2cLcNNKNbNsmiwbr2SE3xN0EQ6Ij6yZQNQqpc07J5RXOIT9/WzyOHpoj4ZX7j7vmipIbl0BRSKRo2uF4XT8mwUOW54wD3rm/DdT0xua09sZr7+MlsmedPJsiUTGbyOjf3N9Iem/tZdTf4K2NfOook1dwXTOc09o/lqsmEp47P8Nm3zD/2wXiBE9N5LMelqyFAumjSEZu7Js3k9arbSlNQZSo7f01aYk2ir0tXQ5DjFY0JRYSWiO91vmPpMDhdQLMcDMvBEWFopvD633QeVzWI37dv35wAHqCxsZE//dM/Zfv27VfzUN4Qs630t61e/q305/P779zAofEsrw6n+dw3dvP937z9gmcNlxNLrQ4rCAItYR8HrSxBn1DTxmexoVs2u86k0S17jt/2DX2N3BWdG0Tds76NUzMF8prJV58+VfWNN22YyenkdYuyZWPZLn5FpKhZvHwqiWE7FUVsSJdMrzojeOJIZVMkIIuosogsCjSGVE4nCoR88gXNSS5WXNdlz4jnn762PbxoPFe39MTY0jO/AnN0Msdjh6dwXW9e9eO39FXnNXsag4RUiZfPJEkUDDobAmQ1C9d1q44DjuO14J27uXEAEZd0ycRx4YVTCc8jvpIQKlaC9dn566DqWdElCzq9/tqbzDqvz1PH4+wf9YLt5piff/ylW+ZoC4ymSvzv505TNOyqWFPYL6GIIjnNQpEESobI0ckcW3pi6JbNmUQRy/GcJYKKREG30Ezv+zXTE6w0xnOosjd+EwsoXN8bq/pgA+wdyfDR7b1VIcuxdImXTyexHJeZisf4XWsvfLZ5lkPjWSazGn1NwbqI4nls6orR2xRENx1awuqCQarrujx5NM6RiRzRgMx7ruuiOexjNFUiUdCJBRQagyrdDQ5DyWK1wq+ZIg6eMGJRsygYFsmCgVRxKGkMqmztjrF7JM1QsojI2Q4gw3I4NJ4lGpD5zu4x7tvQhigIPHFkmpJhEVAlJEHgyGQO13VJFg0Gp/NEAgp3rW1jS09DVbxu9lnb3RjgZCUYCfvk130Gd8T8fHj7/GTGxfDIoUkmK040Pz4wwQMrvZ/5nVdHcRUvMfG2Te1sOq/yHfPLjKbKlGdb5Bc4N6blVkXvNEsmFpg/O++TJd5eQ1zuXBoqiZJevGOq5ZEOc7UHajG7LquS12XhON58+fkEVZl3X1e7rX2WRw9NVRN3Bd3iiaNxfnHHijmvSRc9TR3bFRBct/pZn0vI541GFHULQYBYsHYQOpoucXgih10RZpydoT+Xk1N5EhX7vbJRJlteuvuQC0WrCNYCuAj4leWjRXNsKkdh1k3JOTs+eDFc1Z3I2rVrmZ6envfv8XicgYGFZ24WG2+mefjzUSSRr/7CjbSEVY5N5fl/fnr0Wh/SNWGpbeHTRYOXTiXxKxKOAz8/tvhn4h89NMWuoRQHxrJ8Z/cYRo0W5pJhsXckzWC8wHuv70I3nTljA7OtaQ1BtTJnKyDgtTo2BBRcF0zXUzz3RNJclIp9ELhM5jTuX9/GULLEkYkcAUWmZNg8d3LpzsS/cibFsydmODSe5ft7J4jnrq3dYF4z+c6ro/xw/zhWDUGjWQtA8GZgR5Il4nmNp45P8/zJOE8djyMK3ly1Zlps7AwTqmzcJMFTFz6/OiFWPOVDlZZqvyKRK5sEFYlk0SBZNEgVjWrr4w/2jXNoPIssCoylyxyqMbNZ5/U5NpknUdCZynm+3IPxPH/x5Am++vQgRc3iZDxP2Cfjl0Xv3AlewCMIkCsbOK5Lf3MQw3Y4PJGjNaziup7Ikyx5FVijMjqkSAIis4JSLgJeYnA6p/Hy6RT/8soIec2bw57Je9Zgs+TKnijZxs4oXQ0BepuCvOu61w5EzufIRI4njkxzaDzLTw9OcuoSqizLnahfoTXiqxnAO47LofEsjx2aYv9oGsd1yZS8zqhD494z4enjM+iWjSIJhH0SoYq1mOuCT/aCcseBWFClI+qvitj1NQbpjPn56C19NAQVJEHAdqExqLBjVTNBVSIWVOivdBq+cDLB40em2DuS5tkTMzx2aIoDYxlaIz4CqkRRt5gpGExmNR47PMl7ruuirynImvYw79jiXTcPbOpgY2eEgm7SElZRRJHDE1n2jWau2HhbTjsrxmbaLiXdW1+nshqHxjOMJIucmM7P+76sZtEU9J6XiiwuqB+ytSdG2CfjkyW2dEcRFtgYvTiY4Js7RzizwD2wpj2CYdo8cnCSsXTpNdXeX4tZ8TzT9jzTY0EFawG19sF4nj0j6Tmf0blI512TtfIYIynP397TQJCI17A/i/gVtq1o8LovdIt7FkgGnooXKRteV8dMXidZ471SJQOxogEjiQJnEvO965cbDX65kpD3Ois1c/n0GmTKZvW6ElhY9PC1uKqV+C996Uv81m/9Fn/4h3/Ijh07AHj55Zf5oz/6I7785S+Ty53NQkSji7NdcTxTZihZQhS8drA3I21RP//fh6/nU1/byT++NMwdAy1XVTl1MXAlK/GG5TCV1Yj4ZRoXyEhfLI7r4rouOc1CFpdGJX7qnKx2ybDJa3Oforpl8687R6u2eUFVQjfNeQGbIon4FYmSbiEIgjfPrHmfyQ29DRybzCEKIIveRk6WBKyKCM1M3uCZEzOs7YiQLZuEfTKSKFA2bIaTRZpC6pKryk+fE7Q7rutZr0Wv3VjQn/z4KCnTC6YPjGX5T+/cOOf/m0JqVQxJEMByXP7ppWGePznDYLyA7eIpUgsCqaLJUMJbn13XBUGoOUvqulDQbcYzZTZ2RWkMqmzsinJsKj+nVX6moDOZ1XjpVIrpnMZQosj6jgi2s9R6cRYH0zmNwYraezxX5oXBRNU+bNeZFL9x92qaQiqpkEpJt9Etm5m8hlYRB5vK6rhuBtf1quVHJvI4rotuOiiiiCF4CTlREBDAC0AqyTqfLLKiKUSmbCIKntDYaLrMxk4FVRaJ+M7ex/0tQSJ+mbxm0d8c4sEtHfPa7c8lWzLJlk3aor5qZ9pUbm6r63RWm2ONVue1ebTSKTGe9vRKbuxrQBA8rYuzgafLyekCzSEfoihwZDKP4E1hYFgufU1BuhoCpIoGu4aSXmeO7XI6UWRDZxRcF1WSUGURFUiXLXqbAty1rpV/eWUE1/VmlQu6RaZosnfUU84XBQHdtNmxuoWOqJ/TM0XkWfVx1xMDPtcWbiavE89pfGf3GDnN4tB4jmdPJOirWL0ensjy0e19l931Z3N3jFdOpwCvE6CxckjPDSZA8VrDW6I+3n/D3O9rDKnY7lknAGkBxfOy6VS9yguahb9Gh9L3947zzZ0jAPz04CR/8r7N87q/vvHyEF97cQjXdRlOlQipMn/0vkvTyEoWjKrKf6po4tQIjHaeSfGPL56haNhs6Izy7+4dmKeY/44tHRybzpMuGjSHfTxQY4+7pSdKU1AlUdRRJJFtffPb6b3xLIEHK8mchXzONctGq1gkKqJIuYbuTiwgey4KlcukOzZ/FGK5cXy6UN3TaZZLQTNe8/VLiU3dEX56cKr6dcsl7PevahD/rne9C4APf/jD1cyrW8mSvfvd765+LQgCtr04h45nq/Bbexre1BZTd61t5VfespK/fe4M//fDB9ja00BH7M2jD3ClmLXaShYMREHgnVs7GGh7422YjUGVTMlk13AKWRT45TtWXoajvbKsaA5xtNJe1BBUiAXmbqITBaMawIPXEpstzX9ABlSvla1s2uA6iIKAJMCRyTy/+871HJ7M8srpJLbrokoCHTE/Y2mNoM9TB/7h/nFuzjYzlS2jWQ4bOiO8Opxiz0iansYgH76pd0ld+yuaQ9WgWJXFmjORV5PpnIYS8DZ1R2uovt9a0W/w2v+9ZEqubJLTLPyyQNl0MS0HSfGs5DybKQFFBEkS6WkIkioZTOXOXhuiAKbjUNAtHMe7vlY0h9BMp9pi7XVtwJNHp4n6ZY5NGZ4tleOyfeXS1ZS4ljSHVVrC3iyyIgpVP22A4WSJ3qYgv/aW1fzNc6cYSpbwyz5OnGPx5uJ1bgynihQNb2yiJeynNeLj1Eyegu5V0GWJii+zi1PRuWgOqwgCrGoJcWQyT9m0yZQN+ptCfOCG7jlCd0FV5hduWcF4pkxDUKElvPAc5lDFQstyXBqCCh/d3kdAlVjRHOLAmCe8KApCNWCrc2Ecn8pzeCJLUbdIFU2mchqrWsPctrqFXUMpxtMlZEkkWzYJKBK66SCLQqXbzCXkk9ne38Q969t49ni82j3luqCbNs0hlZMzBZRK67VpO3Q1+Hn5VIrHDk/THvbTGFLYO5r2OndEF0kUcRwHvyISDajEAgrrOyI4lVZqUYC71s2ttO4ZSfPM8RnGMyVOzRSrowOHJ7PVayKe08lrZjUgvlzctrqFFc0hdNOmrynI1KSnnq5KAjnTxq9IFLT5QmiOC9f1NLB3NI0iiXPG2c6lIaigSAKm7dIZC6BZDuenqc61DDQshz3DmXlB/I/3T+I4Lm5lDm6hTrfxTIknj8RpCCq8e2snYo3kQiygVKvYXbHae/S/f+EM+8cygCcWd++6Nm5aObco1x71884tHRybKrCxM1JzDVjZEmJ1exgh7l13t9UQulYkL5FsVZIJCwlqyhWhxVnv+obg/PDsoW29jKTLFMoW3Y1+blm9/AuJ+nndeU8cjfO5e9Zeo6O5vMT8PkI+ibJpI4siPZcw2nhVg/innnrqav64K8KL1Vb6+ibu/3pgPS+fTnFwPMt/+NZe/vmzO970/vFvlOGkZ7UFXpV032j2sgTxk9kyQ8miNx8mwAuDSd53Q88bft8ryds2ttPV4Ee3HDZ2RknPTM35/4aAUhUkcl2Xou55857PZEajaNhYjotlgyC4GLaLZtkICOTLVqXZFlxEdvQ387Q5Q9jnzT5rpoMLrOuIYtoOiYLOaMqrsqWKBhs6o0sqiL++t4GwTyJZMFjVGr5s3R6XStAnMpuKaa/RESBLIq0RH5Ig0BRSUWWx4hcuYDpe54SDWEnSeBtQx3ZxXAjJAitbQyhpkUzJQLfOjk7olovtOpyI5yvXmc26jkhVKNF2XJ47mWA6pzGSLJIrm6iyZ0e4bzTN/RvaX1fhvM5cehqDzAoNW47L8Xi+agHlJepURKnEdb2NCILAvtEM5xbSPLFKr+NCFkUKukV/S9BbA/CEqizbrVRFvYKAVyH3IwgCA20R/IrISKqEbtkEVZmpXJlnT87wUMw/R98loEoMtL1+5Xz/WKa6Qc+UTE7NFNjcHWN1a5gP3NDDZLZMT1PwmifLlhqSKFAybARBoDPmZ0NnlE/sWEFesxhKFLFdKJQMTNshntcpzM4cVzovbMclXTL4+bE4p+MFhMp4hoPXlREv6DxzbAbdcjBsBwEYTpQYSY4gSwKKJNIQkNEsl7xmIgoCXQ0+8mVP5X5DZ4S717Vx6+pm3r65k8MTWRRJnKdmv2c4jWU7BGQJy3Ewbc9W8dy1LuST5oncHZvKkSoYrG4L11wXL5Ra191MXkdQJQzLIV2aX9n0yyJZzawGrkW9dlEtUzIwbe/an8iWa1bi+5oC1c4JQYBVrfOTWStbQ+wcSlW+cmv60mdKBn/w/cNV4dHhZInfum+u2J53zVhVn/mcbuKT5+9Jk0XDExOrPC+maoyUHZ7IsXs4A8CuoTQtER/rO+Z2CI+my6xoCtEZDXijVpn57+OTJR7c2snPjk4jiyLv2FK7a7U14iOvWdiuQ2PQR9mYX4k3HZfexiA0eolB8RLEDpc6zdd4v3I50SxvfQtWnjsFvfZox2txVYP4u+66C03TOHDgAPF4HOe8lsT3vOc9V/NwLhrXdXnhVBKA29+Eonbno8oif/mxG3jnXz7Hy6dT/NXTgzUVTJcjElfGYS583oM87Ls8QcLsnFWioCOJwryfsxjx5tZVdMuuKSQW8sl84MZu9o9mEAWBkmlxbNIlpAoUDW9jEVS89kvL9qbjXbxKjIDLiqYgRd1mKluuPAxdDMvmRwcnCagSM3mdvqYgN/U3kte8sy0IVAWLwAsaZjcuJ6fzTOU0VjSFLrnqltdMJjJatWJ5pRhoizBw8TpdV4Tfees6Hj2RwyeL84SD4GwlC7yqzsdv6ePd13fRHFL5/r5xQj4ZWfQ6K0zbRRK9eUhVEmkMKuQ1k5JuU0MnCNt2mclpHBjLVtul+1tC9LeEePzwVNWKShQFfLInhiUicHg8x9deOM3KljAPbOqoJy8vkAe3dPLS6SS6aXNjXyN3r23lay+cQZEEPn/fAAFV4uBYhkPjGYYSRYq65Xl/O17wFVQl2iJ+/KqI43jBUECRyOsWhbJFY1ChqAuULdsTrKwETamigWW73NjnsKo1hF+WyGsWubJFquJQsX80w6dvX7mgpdi5WLYnoqZIYo01++zXfc3BegX+Enn31k4G43lsx1MBb4v4kSWR8UyZTNnAdb1OmmzJRBAsmkMqGzqj5MommumwojnAeKbMwfEspu3Q3RBgNFVCEKAt6mM4WcIni0zlNAKKhItLSbcBF8sR0C2HbNmgrzFIzgXHdfjo9pVYjpcc2tQZZXtldjugSgvOcZcMiz0jGRzXpa8pxOrWEG1RPx/a1s3hiRyG5XJTf+Mc+8Ldw2meOR731OFFgd+8ZzUtl9EJKeZXyDpeMqOhhhidZjmsaAoymdWQRKFmUA3QEDpbie9q8NesxH/mtpUcncwzki7xwIZ2ruud33L+/ht6eO7EDPGCTlRV+MytffNec2La09NIFQ1kUajpJW9Yjted5wK4lDSLnGbRGJq7j2qP+hiMF3BdF1GgZrJupuAlhrJlk8aAUi2unEvYJ2PaDjnNxK9IC+7XPL96G1FwSOQNOmu0wQ+0hxmcKWBXOsO6Gue/JuSTiQZksiWT9pi/are3nPErc0cLwsuoA7o94qsUoGxkUZgzgnOhXNWd/KOPPsonP/lJEonEvP9bzC30swzGC8zkdXyyyI0r6hZT4LUT/fF7N/M7/7afv3jyJHeubWVrDT/Na8n39oxRcFVWtoQu24b7Si2dXQ3ePN7hiRwNFaXby4Eii2TKZqWy4QWfi50XBhPsPONl57sa/Oxo985bqqDz/cNDnjVVbwNv39yJbTt8f98Epu0SUBX8ilfdyFTaqy3HnXPOdNtFEgR+cnASVZGwKg9oF6/V0nZcYgGZm1c18dHtfTx5NM5oqkRMkTEsr2qTKZt0xvzcurqZIxOegjp4G7APbeuhp/HiFuRsyeRfdo6gmTaSKPCe67qqwkrLmdVtEX53oHvB/z/XmslyvLbVzd0xNnREkWWRTMnkhcEZXNdzHtBMm7DfE0fTTG/uuajbGOdcA+f+aTpwbDrPJ//uFT56c191jSgZNvtGMpi2g+O6bOmOUbYckgXP6s6wXI5P5elqCCzYblpnLn5F4p5z2o3bon62n9PGmi2ZHJvKc3yqQLbsjRS5QEAREASBjV1RUkWDYtliMq/jupAtTdMaUZnMagiCJ0oZ9EmVzgsH2/GC7oaggmnZfPOVEcYzJdIli4agTLKg41ckRtNlvvr0IP/jYze+5jPCcVy+t3e8qly9uTvKuo5I1ULrzXDPXg0kUSSgSpycLtAQUrhzjVc4USSBoxN58rpFsqBjVOxAM2WTdsXHnWvbcF2XH+6fIF0yEABREjFNG0kSEfCef1t6AsT8SrVKLIleQiirmd73CAIBRWAkXcayHVRZpDmk8q7rFl6raiGLIhG/F+x1Nwb4zXsHqpZm7dHa3RmjqRKD8QLJovdc+s6ecX79rvm2ZJdKRjMRVQXDcsjUqMRH/DLtUX+1O6BvgeAiXTSrlfjxtIZfmZ9s/9buUcYzZSRB4KnjM9y1ro2159nQJfI6LgKtlcT1mdT8inZDQGE0VcKstPLUUrCXRKHSfu0dU9lyUGrcy9v6GsmUvP3QypYQSo0igQT87Og0ZuXcv3VT+7zXNAZVyqbNRKaMX5Foi8wXvyzqFj85MMlwsogoCuR1s6YLS8yv0BzyYVg2rWEfbg3ZlaLuJR4FQWAqpyOJy6cqvRDnn72BGp0cS5WXTyUoVLpcTMflycNTr/Md87mqQfznP/95HnroIf7gD/6A9vb5N8RiZ3Ye/qb+xjelrdpCfODGbn5+PM5PDkzyf3xrHz/5rbcsqs9nIqPhD8kcn8rT2xisuYAuJm7sa+TGGgIpb4RU0ahmnQVBqNl2vtjYP5phNF3yfKJNm/UVf9DnTiZIGt719cqZFCtbQ8QCCn1NARRRwHI8YcDGoIIqSbg4GKkS53YEug7MFL0gYFVLiEzJRDNtFEnEdb1Kbrpk8vzJBG/f1Mmda1r4xsvDZMsWsiiypj3Cxq4oN/U3IUsix6ZyDCWLSKJAVyzAeLp80UH84EyhqlJsOy7HpnJXJCBwXZd9oxnSJYM1bZFLyv5eaSazZY5O5oj6Fdoj/uoMvyQKtEW960AUBT64rYfdw2mOTGTpigW9yqvrIAnexjlXNhEQaAoqpIo6IiCKVNsoZ3Ecl+FUkUPjWY5N5pAlkdMzhapVXUCR2dgVY217hKlsmZlzqjInpvIkCzormoOXZfTlzcxUTqO7IUAkIFMyLGIBiZJhY9oOfc0hNnRGODyeY7zijywIUDQsnJxLUPE8vmMBBdN2sHyeP7greFv6TNlkcKaIC6iyhCJ5a6DtuNXgQzcdCppFLLhwtSdTNud4xp+MF/iNuy/cXSevmewZySAKcNOKpvpIxgJ8f98YI6kyiiRyarrAK0Mp7t/Qjmm7rO2IcCpewLQdSrrl+cMLAAKT2TIF3aoGewCz9hYRn+di4DjetTOWLtEZC1THi0QBEASKukljUKW3KcDhiRxBVaKrIcCLp1LVIH4oUeTUTIHWiI8t3bEFLfIiftkT0augLCASdy6tYbUawAuCJ4Zm2s6caj3AqZkCQ4ki7VH/BXWQzNIZC1ByvXG0xtD8a12RRN66sZ3v7xvHr0jcv6F2MSESkClWPusVTUE00+H8BrJjk7nq+QgoEofHc/OC+JmCTnNIQTO9gLlW+36mbBL0yUxXugNC/tr3zZq2MEMJ7z7vawrWnJvvawlxQ2WPpcreuNb57Bn1uicMy0EWRXYPp7n5PC2UkVQJAe8c+xWJwXhhXoHPtB3OJIpe1dxxORWvrdA/OOPtHwKqzES2TE4z561DYZ9Mf3OIkmHRGFKrYzzLmahPpFSpxEtAeRmp0794Oj3n63T54vflVzWIn56e5rd/+7eXZAAP8Pyb2B/+tRAEgT9572Z2nUlxaqbInz16nD9498bX/8ZrgGHXSG9eArIINUaWFi2hyvybbjkIglAVlFzMjKRKjFc2y5mSwXvWeBsJb3N29gFuWi4BRaK7IYAqiaRLOh2xAB0xHyXdpimkEs8ZGPZZr3AH0Ayvwjqd03EqVVzTdgmqEqbt0hhUaA37ePLoNLesbK5WHFRZpCXi4+5KRVG3bA5PZKtq+mXD5iML+Ps+eyLOsck8m7tj3Lq6ec7Gr+G8B3Ytz93Lwc4zKV6sjAUdHMvxsVt6q5WhxUC2ZPLw7rHq5319b4x717eRKhoMtIXnHGvUr3DPujamshrf3ztOqmhgGi6tDSp53ZtjTZUMBNebpTYcFxC82dhz7gHXBb8sMZ4p45NFOmOeorXpuCiyiCwJrGgOcv/GdtJFg+/sHvP8yCs+5eOZMgfGsrz/BrFeiX0DtEd9qLLI+o4osihg2g4+WcJ0vDbZo5N5miM+yqZT3ehbtqeJYbtgWg6G7VLQrYr/roAoeIoXs3aCpu1Q1C0000ESHfyKhFlRv2+NqLx4KsG6jgirFlCSD6pe6/V0zuvKO39O9rVwHJeHd4+RLnmzj2PpMh+7eX7rcB1PX2BWWdyFauKkI+anOaQS6o1xZCLHiel8xS5SJlX0gl3HcasOI7Nq9X7VU6F3XJeAKpEvm/gUkaBPYmVrGMPO41dERtNlBFEgp5mcTngimZbjqYy3RLw1eTJb5vv7xqvWl6btsm2B7sz7N7bzkwOTaKbNLauaL0iD5NbVzTx5NE6qaNAUUmmP+Oe5bIwkS/xo/0TlGLzW8gsN5JuCKs0+L3m7vmP+95i2w5NHp3Fd73n2s2NxPnDjfA2d/SPZ6kz93tEM0ry6qZcwm632lw2b9uj8339TV5RHDsnMPvLWd85PhlqWy1RWw3FdbNvl+OR8azxJFLhrbSu26yWrbx9orpkku3NNK1G/TK5ssbErWlOkOls2sR0XVRaxHGeB7kWXI5M59Er3XHfD/IS4Ion0twQZrrhaLeRQ0RCQOWHY2K5LT2OgpqtKT1Owqr8jCgIdkaVmdnzxuIIEWJW/U3MUYamyuTvM6USx+nX4EhK6VzWI/9CHPsTTTz/N6tWXry3oaqFbdnXje9fa1mt8NIuPxpDKlz+0lc98fRdfe+EM929o47aBxZHsCPkkbKAl4mNT1+WxLowGZBLFs4u6usjXUst2KZsWRmU2fFZMajHTGfNXH6RdDYFqZeXmVU08c6aIYXnzrT2NAQTBq8q+dCrJeKbMlqg3P1nQTGJBlf6WIFOZMjNFb/MsChAJSNxbUS4GsB2vVXNNWxgXaA77aI/6sWyXjqi/KqIHeOIyFbJl02vjVURMy2uZPL+6fXwqz/f2jvHEkWlEAX58cJL/+MA6bl/TymiqxOGJHNGAzO0DzQwnS7RF/dy88sooz06dZzE3ndUXVRA/U9CrATzAdE7nnvULJ36PTeVoDCrctKKBZ04kaIuE2NAV5ZXTSboa/BiWJ3zl4ongqZKIIotohkW5ErwpYkVB2PYUrgfjnlWV7bgYlkXJgLxu4TgujSGVT93WT04z2T2c4sjE2c3kRLZcD+LfAA1BlYdu6uXoZI6ZvM6BMW82XjO9+eeGoMonblnBD/dPMJktI0sCjTEfjSGVom57VXS/QsQvM2yVALkatMUCCkXdYjxdomDYhFQv5GiL+ljdGqY14keVBK+dfzrPh2/qJeKX2XkmhevC9pVNlAyLnWdSDCdKFA0LRRK5b8OFbyo1y64G8OA5MziOi1jXVJjHWze2c2wqj+24dMb8rKnMLbeEfXxwWw8n4wXesqaFRw9OkSqZKJLAdLbMRFarKtZH/DKSACtbwoR8MkcmsjgVP/iRVImGoMrq1hCyKCCJQOVa8Sqw3qyqp5bitcUrosCjhyYrQeLZYx2MF0gWdBRZ5JaVTXPsyjpjAT77llUX9buLoshv3DNQ7f68faBlXqV/MluecwwTmfIFB/EP3dTDc8NF+hpD/MLN8xPOec0intOYqFS9F7o8bcfBsJzK+JnCTFGn8bz5+c3dUQ6MZciWTVa1hIj45wfxN/U38Vv3rmHPSJrVbWHesXl+W/rJmRyyhCdOCwvOg5dNm3Sly660QKXFrdhS6pYzR+PmXN4y0MzBsSyZkkFTyMeOGpbSpu1iOy7ZsoUiCQjC/GMK+WQe3NLJq0NpBIE540TnElDlapJJwOtyOJ/remIMxgsMJ4vc1N9Ia6C2Xd1yoiPqI1XUPctDRVpW9q6fvHUVz51IkC7bqJLAZ+9axef/n4t7j6saxH/lK1/hoYce4rnnnmPLli0oytzs12/91m9dzcO5KHadSVMybFovYyC43LhnXRu/cEsf//zKCP/nv+3n0f/jzkVhw7epM0rS9FraLlebv/c+ZwNhaZEH8cemcnPakMZrqKguNta2R6otz7GAQkPFYq6vKcQvd7d5lkISPHU8jmk7bFvRxL3r25jKacQrdmJFwybs9xRdLdutBvGOC2OpEmvaw6iVa8JyHCwHWiN+IgGvCi+LAneubSEWVHjoph5OTheIBZQ5a4Bfljg9U0SvtHzZ57W4jSRL/PTgJM+fnGEiU0autMw9eTTOpu4Y3987Xm2Lu643xkM31a7iXy56m4LV9nRFEuhqWDwBPHjVWJ8iVj/P1xIGO5Mo8sjBKVzX5eB4jsaQimE5nIoX2NAZpTWsMpoqVSx+vFb6hqCK6TgUdSp+8pW2bN0G12UkVUKstNR6SugGEb/MP700xCMHp7hnXSufuq2flrCPVS3hahAvCAvPjta5cNqj/qoad1vUz4/2TTCaLtEcVtnYFeVMssjukXSlBV5ARMB2IKBInmWg65Ipm7SEVVRZIFPyEoHDqRIl3capjMtYoovtOJUEgc2tq8PVbhrX9QLsJ45kODiWo2RYvDA4Q3PYx3ROZyqn0RJWGWiLMJkpv8ZvM5eAItEW9VXXp97GYD2AX4BbV7fQ0xhg70iaeN4gVzarlemSYVHQLJSgwur2MLG8V+ndN5phOqdh2i55zWKgLcSW7kaSRZ2DY1kM2yZXtkgUPF9vzfSq9jeuaCAWUJnMlpFEgQafQrJoIIkCUsW2bmVLiIPjOSzHqygLgrcPcFyX41M5IpW9zkxO58MLdGJdDK0RH++7YeH5+96mIOLpVDWYPd+27bU4PVNiZYuXFHllKM3t5xVc/LLImWSRXKW9N7KAEG66ZFRHwOI5nViNwLOgebaPjUGVnOYJVdbitoGW1yz8bO9vQkBEFLznQkNwfgu87bj8+MBktUjx2KEpfvPu1YTO24c+fmSKb7w8TNlwGGgL8fvv3DjP3u+GvkZWt4aYysl0NwZqjjialQRGdUxxARX/t6xp5breBmRRmOdHP0vEL7OqNYRlu7RFfRR1m7Bv7nG/OpxmtPJ82j2cxt+x/NcOy3aYzemXbZuuZeTykdcsFFmiIeCtM1OXsC+/qkH8N7/5TR5//HH8fj9PP/30nMyiIAiLOoh/ulKtu2tt64KzT3Xg9x7cwPODCYaTJf7wh4f58w9ff60PiZ1DafyhMOOZMhG/fJkqZXOvAXmRR/HnioPB3HngxcrbNnXQEfMs5jZ3x8icYzHnVyT8isS3d3miOQBDyRK/dPtKPnhjDwfGskgivDiYxHJcVreGyWlmpY3aew/Ddnn88DSG5bXCWTYEfTKK5Clfd8T89DUFq+1vbRF/zYq1ZtmsbA7ywmCSsmnRGZu7uYjnvYVZtxxvVtcWcFwLVRZIVHzHq6/NXfnM+o19jYRUmWRRZ6A1TPMVVMG/FCJ+z2v7+FSeaEBmY+fCSdN4TmM6p5Es6MwUdFY1Bwk3BLBshy+8fT2n4gVePp3Cu3K8VnoEkASvvTqnebZUAVVClj0V3L6mIAICrw4lq97yBc0i5/O8qB85NEVHzM/bN3eypj3C+24QmcyW6W0MXrQOQp3X5o7VzUxkyiiSwOq2MO+7oZu/f2GIsmF7isWui2XbGHZl7EHwxJ8USSCgemvEqpYwM3mdg+NZwKucSYLX5toUUoj5FQzLZjRV5Ohknu6GAO1RP10NAf75lRFG097aOZ4ps6UnRlCRK7P43ob9Yu4fQRDmrE9buhuuwKe2fOhtCvHMiQR5zeLYVJ7xTJl3bO7kxwcmq1XoVa0h0kUTWfQSqrIkYjtnR6VMO4WLV6Et6iaa5aKIAo7rEPJ568B4RsOyHdoiPt69tZNMyeLkTJ6oT+bwZJ72iA/LcasjTwFVYtuKRmRJwC+LPHPirFjzSLLAXzx5gkzJ5B2bO7hl1ZWxI+5qCPChm3oYThbpiPoXHP+oxal4jmm9SNgn10ziapbDQGuEmbyOKNa2/gRPjG1S9Ow4m0Iq2bJF+3nLdVCRqqrxK1tCLFD4fl0ifpW71rawZzhNQJX4wA1d815z1onGw8HFsB3O3/F9e9cYw0nvvk4UdA6OZXjLeSLCx6fypIoG2bKBXxY5Pl2YNzIhSwIC3loiiQJiLQuUCq9X0GqL+KsjQqrsabqcz7n7A9eFZHH5V+IN263u22RBrK7Hy4GT0zlM27M8lisFhIvlqgbxv//7v88Xv/hFvvCFL9QUm7gQNE3jox/9KEeOHCEQCNDW1sZf/dVfMTAwQDwe55Of/CSnTp3C5/Px1a9+lTvvvPOyHPvTJzyLo7vX1VvpX4uQT+bPP3wdD/31S3x3zzhv29jO22u0Rl0rZgr6ZQni1fMX68uY2NFMm7F0iWhAuWxtzgOtc3/nJRDDI4kCGzo9b/awTyZT4zUzhbMPsbJhU9Q9wZfZVvSZvMHRyRyiKMwTrzEtl52nk4iCiCgIqJKEIgq4eJZUU1mNqaxGQJVeU2iwMahycDzDULLgVQGPGbx8OsmOyuatpynAvpE0k5kytuPZ24GXWOiM+QmqnngXeG4PF4PjeBWnoE+aJ3r0WqzriACLV4StKaRy6+oL2/wOJYs4juu5CrgCHVE//S1BmsI+nj05w+BMgbJpY7sgCZ7WQa5kUHA9cTxm56ltB9Oy2TeSJlUyKOsWs842Lt5Iymwnz1T27HW3siX0uuctr5kokrioBD+XAntHM0xlNdqifvKaRV6z2NQV5Vu7HCzbwXRcXETKpk3ZtL255bCKbnkV9lgA3IiAKnsB/ayXuF+RWNMepmx4lmJTmTLxnIYsiWRKBp0xPy+eSpDXTFzXxXG9bqCiZrFvJEOyqFfTuLcPeGvNhd6LfkW6YqMyyw3Xdauibq7rVa4mzmkjd12Xnx+N098SwnYg5JcJKBK65eA6oJlOdSTLW3U9jQSromzpUwRmigaJosFEtoxpO0xmNd6ytpW2sI+8bvHglg42dzWQ00wG4wXiOY1kUWdte4QHNrUjCAJHJvPM5L014fBkvrqeD8bz9DQFas5KXw66GwI1feBfj4MTOURfsBLAZvnI9rn/HwsodDX4q9aua9prJwgymjdiJACpkkGshtjcwfFcNZF9Yjp/yYFnQBHRLIeVlWRFwZhf9VYr4wwHxrK4uKzviNIYmp9kM2yHsmlXtFDmWpjN8uzJGZ4fTGBYDsflPJt7ovOCeFWWCKoyiYJO0CfTGLj0ztO3b+7g6eNxCprN7Wuaa1bsV7WGqm4KXhfd8k8a25XxglkdG3EZFVElSawmlT3dw4vfmV/VIN4wDD7ykY9ccgA/y6/+6q/yjne8A0EQ+MpXvsJnP/tZnn76ab7whS+wY8cOHn30UXbt2sX73/9+zpw5M69t/2IZS3t2H6IAbxmoB/Gvx7YVTfz6Xav56tOn+L3vHWLbiqaa6p9Xi9l7XqmIU10OuhsDnE6ebaNsX8BH9WLRTJt/eWWkMmcND2zqmKNse6m8MpS6DEd3ddl5Oslf/OwkhmXzzq1dvHXF/Pt4oC3MkYkc4LUfRgMK8ZzGS6eTCILAbaub6WkMMJIqkS+bBFUJ3bRB8GajXzqdxKgEZ6GQxIrmECuaQqRKXvAvSwIDbeHXDOIVSWQ6q6NV5qstx+YH+8aqQfz+0SyTOQ3NciobSU8FO13UCflkPnpzH4PxPFG/guvC//f4cXyyyLuv63rNFkndsnl49zjTOY2QT+KDN/Ysuqr61WBzV4xs2WR9Z5SexgA7VjVXq/cvnU5iWDaOWwnEXTgxXcAnC0iCQNTvzUzLkki+bPJqTkMQQEDAwRNAFFyvDT/slwn5PBXiO9e2cHAsy4npPE1hlTsGWhYM3H5+bJr9o1kkUeCtG9svy/38ZiFRSdJpps1IqsT39ozxji0d3La6mYPjWYq6TcgvEfEp1Vb6XNnERSCoSMSCCmXDoqshQKZkMFzxCX/L6hau64nx9y8P4wLFsolmOQRULwD8p5eH2dAZpWTYzOR1HBfaIipJPIGzfNlLBoynS3zlqVP8WVOInx2LE895bdqtERVFEtne37Qo3R+WCoLgtZnuHvZUnLf2xFjbFuYfXhxiKFEkoEq0h30cm8ohIHBDbwMPbmrnp4emyZR0smUTWRIJqSKqJGLYDhNZDdNyEASYSGts6ooxkS1jWF71fjxT5ls7RwmqEgNtYW/8wvZmpxtDMs+ezKGZDv/w4hnA5Z1bu7h9oJkf7JvAVwl6U0UD23EJ+2XG0+UrFsRfKi1hH7asIEtizYS+JAo8dFMvRyZzqJK4YDdUc1AhU/TW0Paoj6xm037eWH7ZsCjqFobl2bami2bN99o9nOZMokh71Mftq1vmjZmUTYeQKjGSLOKXZfwLrLef3NHHnz5yDNtx+YVbaotG9jYFGIzncVwvEF/VMj9J8bMj09Xgvmw6PHF4ms/fu3bOayzHYTJbpmx63UCziZxLYTRV4sR0AdtxOTgm1xRw29AZJahKJAo6fU0h9OzMJf+8pcLK5hAjqTKO6+KTRda1L97iw8WyviNKQ1AhVTDwKxLX9TTwzxf5Hlc1iP/Upz7Ft771LX7v937vkt/D7/fz4IMPVr/esWMH//W//lcAvv3tbzM4OAjA9u3b6erq4plnnuH++++f9z66rqPrZ2+4XC634M98+rh3o9zY1/ia1jN1zvIf7l/LU8dnODqZ43e/e5C//eS2azaG8L4buimh0tcUpOUyBTnnz4j5LlOFbSRVIlv2HnKuC4fGs5dl038xc5uLhS89coyhRAEH+NrzZ1gfma+O+9YN7fQ1BTEsp6po+72949VKSCLvzSc+dSyOKAp0RH3kNRsRQPQ+44JuISLQGfNj2g43r2ziq08PYtpeBng8/dqfXcmwSGtnNyaOO7ft7chErjKjNyuR5P31wLi35sQCCttWNDGZLfOHPzxMpuRV/84kivzegxsWDMyPT+WZznmtjPGczsunkzywqYO9oxlKhs3mruiyD+pXtYZpCKYI+WREQeCtGzvmVMXLho3jCjjnbFUNy8G0wSeJNIVVMiWz0pLtYFoukiQgi14AIbgusiSgSCIPbGrn9jWtbOyM4rrw5NEJAE4nChQ0i7dv7pgXyGdKBvtHsySLOnnNorjXYnVrmGzZJBZQqpWuOrVZ0x7h2FSeE9P5SnXd5qljMwiCp12hSAa26xJSZdRKG7XPr5Aum3Q2BNjUFWVNW4RYQGEiU8J2PRvKE/ECOd3CdtzqzLxhe1eJ47iYtsOJqZxX0UWgKaTSFPZxdDKPZduYjlcZNkwH3XR4cTDBmZkiqiyydyRNyCeztj3CYLzAdb0xWsI+ru9tfE3/+TrzcV0Xx4HVrSEcF3TT5m+fO82JqRyyKKKbNidmCjRW5pnDfonffXADt69p5R9eGuLpY3FEUaQ57Cm8D6eKzBpwO64nTDaV0zAsBwFP2NIQHCRBoGR4BRzDcijpnvXZofEMU1kdUYBc2eRnx+Lcv7GdRw5N4bqQK1tM5zWKuid2KhrQHVtcATx4omm25O1lF+oK8Suv3YEGlTEkSQAEbBc6arTdD6VK1edxqmiQ0+YHuoPxPM9Wul1HUyV88vxuFdO2OTKRw7AddMvg4ES25jH9xc8Gq8Ko//PpQf7mF29CPm+dvb63Ec3wXCr6moPUqivGz7ERhbmCsLMMJ0tel5ftguswkrr0fdZzJxNVPZ3DEzlu6GusWfxa0RyqJvfHan8Ey4p02USRwHW90YXZro7lgG1XLGxVCUkUKF+C5dVVDeJt2+bP/uzPeOyxx9i6deu8Cvmf//mfX/R7/vf//t9573vfSzKZxDRNOjo6qv/X39/PyMhIze/70pe+xBe/+MUL+hlPHJkG4J71tVUl68xHlUX+/MPX8Z6vPM+TR6f5zu6xKy7YtRAn43kKjid4dbmCeO+RX52yvahW5tci6leqljjgBXiXg8vVKXA1OT1ToKBb1XnGWdGpkmHx7IEJCprFdb0Nc5IcZcOubhgAcppJtuTNnQdVibaIn3SpgCp7Qjshn1xRoldZ2x6hMagiigJdMT9nkiVCqoz1OmqoBd2iKahS0Cxc1xM5PLf6trbV86E/d/bddsCtfP3D/eM8fWwGw3bIlT1bpXhBJ1Uy+NoLZ/jUbf01xypkUUQzz25sPC9eL/gHODqZ41O39i9rH+rWiI+P3dzHeKZMW8Rftd+ZpS3qJxZQSBb0qjiOy2zrmldd8wL4syMmguPiVG7CgCoiCF4QXzJs7l7bhiqLHKzsnsqVz/9UvMBMJWEUPifBJ1WE8U5Oe97AM3md//bEcVTZU87+8PbeRSH+uVhZ3RrmI9t7mcnrSP9/9s47Tq6zut/PbdP7bO/aXfXeLMu9YGMbbIyNgVAdYwgQIJAKSSBAEkj4EUhCICTB1ABxMA7duOEuW7Ylq3dpd7W9T2+3/f64s6MtI1tlV/U+H+/Hmpl37n3nlve+5z3nfI8gsK0nTjKrUu130Rz1WGlCgsD1i6rIqDo7umOMpVX64hm8TssQuHpBFTt74vhdCqm8TjxboD+WYziZI6taHtnKgJNcQUcrhgZrhkkqr5PTdATBKjfWM55BFinmXFuhj8mCRjWwszfOrr4EsYwlvqZIAgVNJ1swrJxch0wso3L94vOzvO7ZQhAEHLJI1Odkb3+C7d0xFEm0aoYXKw64FJG2Si+CIFDhc2IYJvOr/fzhtW0MJXJ0j2XwOGWSeZUjw2nUSVHYhmniLaZWHBlOWxFwWPe1quqk8iKymKdrNEVeM4kXx2dREshrBnv64vzx/2xjLFOg2u9iMJknm9epDbqJeB20VHinLCCeCEPJHE8fGME0Ta6YXzEnJbX++g1L2Dui0hjxzKh9PsHPX+nlBy904ZBF/vz1C1lVxqBfUhtgLF2goBksbwiVLeErCiAJAlrRkxrPzAyDH89Y91cso+J1ysV0r6mMpVVEUSCV0YqVRGYe14Jm0BfPluYKlX4XqYJGSJ46/2mJenjmwDAmIIliWbE0jywyuYq3v0x4uyBYWjcF3UAwhFIFnens7Inz9MFhJFHg9UtryqZfKdNSNMuVmLsYsRY+rTRHWRanVK453xlK5hAFazFRLJa1PFnOqBG/c+dOVq9eDcCuXbumfHYqXtovfOELHDp0iMcff5xs9uRWwD71qU/xx3/8x6XXiUSCxsaZRmY8q7LpsCVactOymhmf2xyfxbUBPnHDAr702/18/pd7uKy94pTyt06XXT0JXF5LeTjscZR9QJwsgWmeeIc8O4ZSTdDF6xZXs6cvQcCtcNUslTMUxDN6q88KRjFXGSzv2ES+0FP7h+nLWOPFQGKASr+ztDjjdki0VnpL6uuLavxUB1xU+p1s6x5nT7/lwTEMy6CqDrhoq/LRWunF71QIuhXmRT2MZSxF3ayqk8i++sAa9Tq5an4Fv9rZT141qPQ7uXNSTd2Dwym0aQ93E+gYTbOnP86/PHaQWKaAgIDPZeXYabpBpc+NKAhs7YqVHXsW1fh5SBJRdUvFNuJ18MrRcavudbF29mg6T4Pj+J6gZE7ld/uGSOU11jSFz8tQ76jPedyIg6BLweuQiImC5S0pIkAxlNRE1adqRLgUq068quv0x3JoJrgVy7h7/sgoVy+opKXCYyk4j6RRdYMKv4d4VmV3b7wkZJUt6CRzGvVhFweHkiVl4oFEnqaIh0RW5QfPdxF0K9SH3Vw9v9JWKi9DbdDNdYuq+I+nj9A7bnnpBpM5vC6J9io/dSEXVy+sIpFVOTqW4ehYBsOwhKK2HY2zvD5ES4WHhTV+xjMqveM6oiiQzmvopjVZjnocRKscZAoGhmHlyw4mcuimaRn3xXxF3bAm/WGPgmGaNIQ9RDwKR8eyjKcLDCfz5DQDMNncMUZbpQ9PMUqrZzxDfzyLxyEjCpTuu9WNYZZcpBVvNN14TVHYm5bV8PUnDrG7L1EMW7b0EDIFcMrWeF9ZXORcXBso3UPPHBglntXwuxQG4jm6RtOlfFoDkAWrtGRvPEtj1MPrFlWR0wwS2QKbO8ZLZdOq/E6GkpZSvWmatFV6GUkXAI10XmdbTwxVN9g3kCTscVDpdyIIAvVhD00Rz3FF4Y7HL7b1lWqS/3xbHx+4snXWx4WGsIclzce/5gbiWb7y2IHSc+vTP9/FLz965Yx2qbyOQ5ZwyBLjmQKuMvMgpyKim9aYq+rmDOFXsBZV++NWVFm6oM14XgL4nBKxjLWIUjBMkmUMHocsFr39E6Vky6vB98VypAsamYK1qJfMaTP0SkIehd5JEXWhMlG4IbeCu1hJRRYFot6ZzpKcqvO7fUOl+cvDuwf44NUzy2y/bkk1v9k5QE7V2TAvQrjMti5G3IpkVZDBEi6sC55b1XROB0kSiBUXBjN5k0zh5Es/n9GZ/RNPPDFr2/ryl7/Mgw8+yGOPPYbH48Hj8SDLMgMDAyVvfGdnJ01N5XNinE4nTudre2V/t28QVTeZX+UrqVTbnDh/cFUbj+0ZZOvRGH/2k+389/s2nPGJ6pHhFOqYRsijkMgWXvsLJ4DXJeNzWvmTDkmkYhY93cvqgydc7/VEOTqWmtXtnQmmhp4KhIsP0ZFUnn2DBfK6QU3ARSqnTYmwuHVFHYeHU4iiQGuF5aF567pGcqrOk/uHLYV4w/La/MFVrSypD1rq4zmV5oiXZE5lUY2fWKaALAlUBVyMpQs8tneQvGZw6bwI8yflZUmiwIevbSdd0EnmNW5eWsPyhlDp867RNHoZwRJJEHipY4yjoxnUolc+kRNpCIvUBFxc2hpFLNafL4dhmsUoBYPRdJqCrhPxONjVl0A3TJqinrKThck8tneQzhFLEfWR3YPUBFzn9eQhlinw2N4hsqrOuuYwLRVeljcEiWcLxDIaE1NDhywQ8lhlpKZPF03TCp00DBNBFEC3FI/3DSbZmM6Tzmv8fFsfiaIK+pK6AAGXZdRt7Rpn74BV6q5vPEtONegYSaFqBqIiIQqUyjANxHP0xrMokkjAJRN0KaxpnuntyhZ0RlJ5oj7HccsTXUjEsyqP7x0knddY3RRmWX2QaxdW8vNtvWQLGm5FQhAs0csbltTQWulFEgXCXgfv3NBMOq+TV3W8TitXN5XT2NUbY2dvnGxBp73KS388R18sh6Zp6IZAz3iGxoibd21oYVdfnE1HRlHSVp5iTjUQiuJKpmkZCgICeU3n0FCSI8PJUimoTEHDMCkafFbObF7T6RrNEMuq7OiJ0xTx4pAFcsV820f2WNUOIufxfXcyxDMqD+3q5/kjo3gdMssbgrx5dT0uRWJXb7yUjvC6JdUEXArzKrxU+Z1EvFa0k6pZC5SmYeB1ily9oJIN86Ilkcp3/tcLxIslBoeTOQYSeTTdQNNNBMFKjzFME5csUjBMFGBHT5ydPTHaqvysagySKlhRUX6XTMjjoN0lk9MMAm6FBVU+joykOTiYYEePlRKVVy1vbEE3kESBRTUBXre0mrVN4eOmzAwn8zyxb4iCbnBZW5TWSh+6YZLKH5vIZwvWooVLnN1oqn94aC/bB/NU+Fz8453LqZnm7R+I54ilC6SLpfTKeb3BKotmVXaxohzzmo5vmlkRdCvohlUmzK2AUtbhYQmODibyhDxK2YWdVF7HJYskcyqSKJRNYSwUdWdk0cr1FwRroXr6Iu/LXWPkVANREOgazdA1mp4Ruj79ORgps1BsQnFhz9pXuee8PskBMfG6HLVBN3df1oJumHaa1SQiXgdRnxVJG/E6yJQRITxfMQyTCp+TeFbFrUhTovhOlPNyRvCVr3yFH//4xzz22GOEQqHS+3fddRff/OY3+exnP8tLL71Eb28vV1999Wnt66GdVnGim20v/CkhiQL/9NZV3PIvz7Dp8Cjff76Tuy+fd0b7MJ4pILkUtJTB9NJwp8rKxhD/t60PJ9Zq75La2TW6ZxtVP/kVvrNNelJYvGaY9BdXxbOqTqzoHR9M5mekMoiiMMXIBmvife2iKr79XCd51ZqYVPkdXFKc/AVcCnW4S22bIp7SIsKKhhAP7eov5bk/tGuA2pB7yoD7xP7hUnmx7vEsyZxaqhtsGGbZsjo+t0zHcLpkwIOlmqsZBrGsitshURt0sfE4JYp29yXY3Rdn/0ASzbBCPQMuuehNNBlO5Dk6lmHRq3jXJzw+YC0KpAvaeW3EP7J7sFRy8JHdg2yYFyGR0yjo5gxvu2XszZxQaYaJIhSNrGJqi1Y8nnnN4OWucYaTeRySSE3QVVKdPzSY4uhYGkkS8SgSVX4nQY9CfyzHaKpAXtepCbipDbnY1RsnW7DSHzTdJFuwPHrTjfhYpsD9L3WTKei4FIm71jXMWkrQucrjewdL5Z8e2ztIXcgKTb5leR0/2txFXjOIep3ctKyG9qqp93nQrXDjkmp+t88qCVvpd5LOq9z/cg85VUc3DAYTVjhuTtOLHkJLDO/AYIoHt3bTE8siiSKpvOWpc0gC2aIyoiKLBFwKmm4ymsqXBBMzhTySKJReGyaIgolTktjREyeZ13DJIl2jGYaSecbTBRbU+GkMeyxdjpzKrt44h4ZSVPqd3LCkmo6RNJuPjOJ2SLxucfUFo2/xyJ4BXuocYyCeQ8AyBLceHWdhtZ/H9g5imjCSKvDTLT04ZEu9WS8uhjhkkWRORy8+yo+OZvj5tj6uWVhFQ9jDe769mc5RKwqrP5ZBNSxvv4DlfZ94UoiCYG2jqHifymmIokA8N066oLKxtZLBZI61TWGWNwT56ZYe+mJZxtIFbl9Vx+uWVPP9TV10jmaJZYq6DE4ZWRQYTub5xA21r1mB4Nc7+hjPWM+x3+zs594rW3EpEkvrguzqtdJ1Ftb456SixeN7B5FdVprX53+1l2+8c82Uz6MehVxR6A/TChkvR7KoKyEIVrlUZxnj86WOsVJZ15xq8mLHKLevrp/ayLQ8klIxQqZcWLphmIwVn/u6YdJTRqtmYkEhp1lzh4Im4i5z/JyyyJHhFJphUul3li3nFvQ4ECleN0L51MZksT+GaQmgZtWZqQJep8yGeRE2d4whCgJXHye6snMkza939lPQDNY2h2ctCvN8p8LrAITiWGBV+7lQaIh4MEzrejShFFF0Mpx3RnxPTw9/8id/QmtrK9deey1gedU3b97MP/7jP/Lud7+b+fPn43A4+O///u/TUqZP5zWeKoptvN424k+ZeRVePnXLIj7z8938w2/3cdWCypOqaXq6LK0PYshu/C551irB1YU83Lq8jp5YhpqA81UNpXOBgcTsRCCcSabnPvWPW9EEIY+D5fVOCrpBwKUcNw9tOj6nzK3LazkymsIlS6xsDJWNCpFEgTvW1JdCc3f2xnm5c4z6kBuvU0Y3THKqPsWIT0/ynuiGSVbVS0a8KYgokjDl9zglAUkQESdpK0wQy1iKym9ZU0/1q+RDHhlOsaMnVgzfhfG0Sq6g43UpyJJAIqeVRBInoxsmzx8eZSxTsJRR0wVME2qDrrLCROcT6cLURYmjYxkWVvs5MpxCoICJdewrfC5iORVHQS8Z+ALH9C1CHmVGrnxT1Fq4MSd5VQQERMHKf+4cTRPLFKz8SEGwJn2mlfc2li4gCAJHhlNEvArL6kPsH0iwpz8JmLgVmWRW5efbemkIu1nbbBkAe/oSJY2HnKqzqzfONQsvbG2WyfeSaVqvI15H0Wj30hfLsaTWT8VxJjwrG0PUBF2k8xoNYQ97+hOlXF1ZEmmMOLisNcp9z3Yylimg6ZZ4nW6YZDVLWyKV10kXdBySSHXASTKnUR10IpgmbodMTjXojQuYxWvHMMEhCsiiNdksaAaCIKKbJp5i+1hGJZ6zcq4dksiWznHyqs4V8ys5MJjiBy90IiAwr8KKLDg4aJWsHM+oPLx7kLevb2RzxxhDyRxtlb5Zj9aaS/YPJHnu0AiKbJXwm8AwTQ4OJknlNTpq0+jGsRJSL3aMsaC4GNsxkiHgUnApEpkhDRErpNoAhhI5frWjnz+4qpVkdvL9L+BWxFJ5Ki2nIQgCHqeMiKWDMpqyQq8njDBNN9F0uHFpNTVBF1V+F6Zp8pBTojHsweeSeXzfEB+8qo3fv6KF2pCLLZ1jPHVwGL1ovy2qDZxQCcHBRJ59A8eipvKqgUuRuGFJNYtq/BimSdMcVTbIqwZZrJSx0dRMoblYTiPgkknmNUQoa+SC9UwVi576iFchrxnMnNkJTE73nli4mIwowsqGkFWi0SGVNbzHMioeRSRrWvnDruNEqIEwqQSwWdbz3RfPktetxe54Vp2iozNBIqsiitZ1IQjWc3k6TkUir+mouoFhCset3XtZewWrmkKIgnDcRZkn9w9RKD7Lt3SNs/QiEKY9EZoqvDSG3aTymhV1JVw4UQpuReKGxVUMJvME3QrN0ZO3V887I76hoWHKJGoy1dXVPPLII7O2r4d2DZDXDOZVeI9bYsPmxHjXhmYe2T3Is4dG+OP/3c4DH9z4mrlws4XfJSM5Hfhd5QVTToVFtX62d3uI+Bw4ZJHlDef2hOq21XV89dEjZ7sbp8WEsbqyIUj6qFVypCbooj58YiuzlT4nC2r8uBwSggDrWo4/0ZIlS0zp56/0MZDM0jOe4cBgkpUNIa5aUDkj921Nc5inilUsWio8VEyqTXvjkmqeOThMIquim0VvkABXzI/SXuHl+y90UqxOh1icB3gdEjt649zwKka8KAhTQi91wzIYXIqEYZjUBJxlBXt+t3eQrz95iFhGJeJ18KlbFlHld1Efcp+xe3KuWNMU5on9Q5imJS7oL5aEW1wTYHtPDMOECp+D5oiHgUSevGpg5lVUA5yygCwJeIpCgLIkIQhGSezMMAVWNoTwOCV+ub2PwUQOlyyzoMYKg41nLYNAkUQEwcTrkPA4JLRiDXtJEnHIIiNF1WOHbHnsnYqIYZocGU5jmHBkOI1TllhWH8QzLbyuXLidbpg8umeQrtE0NUEXNy+rPa/DMVc3hUse2fqQe8o13F7ln+F9L8fkPOT5VT7aK30cGEwiCnDF/EruWNPAtp44zx8eJV3Qisa6i6V1QQbjOcbTKlKxvFnApVDhd1reW92kOeplT38CsxhiDyCLVpqES5EIuhQyqkHAJSNLlvikQxZI5jQyed0S+nIKOGToGEmzqjHMK13jpfD6A4NJFtT4poTgZgoaL3eN8/DuATpGUpgm3Htl63nhrcsUNB7ePVAyprIFnZqglaKUzFnpB0G3UlSJ1+kazZLKW9ESpml5eWVRYGVDkK6xDEdH0mT0ic8sL9ZAPIthwq0r6/j2cx0YhoFDlqgLOemL5aztSdZ2dN2gMujC65RxyhLujMRIMo9e1DxwKRJRr6MkJqoZJpIgliKU8qpRWpy5Y00D1y2sZDRVoD+RQxCEE06LmMjJBmsBdrKw2VyXJbR0O61FkMVl5kQtUTcep0Su6FmuPU4ecqZgle8URYFYRi077tyxpp7/eqYD07TCxD9ybfuMNgtq/Lxy1BItdMgiKyalo02wrC6AU5EsQ1cQaI7MFIczjaJ4nmE9R12KVLb29nhaxaNImKZVo/voWIbV04T7agIuJEFAx0QWhbLP0omoAd0wMU2z7KL5BK+VCnW2qjed68QzaqkEpCheWIJ/7VU+aoJu3A4ZRRJYVnfy9sl5Z8SfSX66pQeAO9fU2zfYaSKKAl96ywpe/89Ps607xn88fYQ/LDOYzwW/d0kThuym0u+ctdC0gEvh3RubGU7mCXsdp5TLciaZXzl1cJDOw8tZKdaBWVgToL2+ilReozboOmHDUxQF3ry6nr54FpcivWZYcqagsas/TudImpyqE3QrBD0Ka5vCM8aDNU1hmiIecqpOXdA9xcN/w5Jqntw/xFMHhjFMk4jXQWulj+sX14BpEil6hAAckoCvWJ/4tQIM6sJunLJEXrMMeUmEK9or2NodQzMM6sKeskKSv9nVX8rDj2UKPLxrkL9+45LXPH66rvPx+7ezsy9OxOPgy3etPKMRNSfCysYQDWE3WdVSiE7lNfrjWRbVBljdFGJ+tY+WqA9ZEnhwaw+La/10jKTpGbfKIFX6nYTcSkn9ejiZR9VNFFnkqvYKGiMenjs0Qn3ITU3ARfe4FWJriSe6EEUREZAlgYyq0zWWob3SV6obLQgCDcVzksxr9MWy5DUDj1OiKXps4j6atq6HFfVBxtJ5useyVAec9MWyfOPJQ9QF3dy8vAanLLGtO8YvtvUSy6r4nTIht8LVZ8Bbb5omj+8d4sBQkgqvk1XRmd6sU2FZfZC6kJt03qrvfrpl2bxOmb96w2L29ifwOCQWVPsRBIF/uHMFW7rGSGRVqgMuIl4ntSEXYNI9Zi3c6YbJsvogQbfC0wdHCHsUK6ILy3jMqQaKJFAfcvO6xdW0RD30xnNsPjJG0K2gGUYpn1gUoDrgtMLpsypZ1aApKtMbyxDPqcXt6QwnC2zrHmd3b7IUhr+oxs8T+4boHLXK2EW9Tn67qx/ThD39CQJumTcsryXkcdA9luGRPYNousFVCyrPmFhlPKvym539jGcKLK0LlsKGC5oxxRsa9jpYXOtHN0zGUgUGkzm2dccIuBSCbpnhVA5XMT90qCg+um5ehCf2DdExkibkdaDkNXKqQVXAiVORGIjn+M5zHSys8TMv6mUgmSXqdbK2KUy6oLGvP0kipzKczFPQDLxOhaV1ARZU+3BKEr/bP8jLneNUBVw4ZJEvPrSPjW3R0jFd3RTi6QPDbDo8iiwJCILJktogh4ZTeB0yrVVe6sKWEOmJpiNVB1xWWUTTxO+Up6RVzTWrGkP0pi1dkHJRhLopsKElzPYeq0782uMseFf5nSyvD6IbJn6XXFY5/N0bW3jl6Djd41muWVDB4tqZhooiimw6PMzBoTS1ARd3rqmf0UYQBSq8CrF0AUWmeK9ORRSL6SzF1waUDfGvCzrZ1RvHMCHgkllUpvb4soYgTxwYpqAZuBSR5WUiX2KZApIo4pQtIzyvnfoYeO3CKn61s4+CZrCuOWJ74Yvs6U+gFkuxxTIqHSMpWsqo+5+PeBwy77y0iaFE3ipfXjj5EoXntuVxFukey/D8kVEEAd68ZmZ9apuTpy7k5rO3LuVPfrKdf37sANcurDojqrx+l0IgMPsr2y5FmvMV89liYHxqbc3jBLOc00wuvxH2Ok4pd1sUhVLu+mu2xQp7nYj8ccgSAZdC/jjW9fEWBQ4OpagPe7hpaQ2HhtNUB5xcMi9KS9TLY3sGyKtW3q1VZkSkJuhG1U2W17/6vaGIIm6HVMpr9zplhlK50qR5b1+cI8Mp2qdNULIFnUROxSx6UHrHM8fdx4QnzDRN/vuFLp47PIKmm8TSBb7w67186+71r9rHM4VhGIjFRZ7Jk5+gW+Huy+eh6sYM7YQPXNVGLKvy3Wc76BnP4pQl+uM58qpBVcDFQCKHKAh4nRJeh8TKRstTk8yp7O1PkMpruB0yXqe1MHhpawTDMNnRE0ct5loeHkojiAIht0K6oOOURcazBYaSOQ4MJMlpOqZpks5bhmN7pR9JFGivshZHRFHgukXVmKbJix1jfOe5TuLZAn6XQsijcM3CKvb2x0tGfyyrsqs3wdULq9ANk4d29dMxkqYm4OLWlXWlRcyJ83o6HBhMsbOYu9sby6Il06e1vclEvI5ZFXpzKdIMT5tLkbi8faYn+/L2Sp45OExN0EVtUXBub3+S5qiH3vEsh4dSZFW9dD05JJE3rqjlnZe20DueZSBhiRDGMioNYTf1ITedo2mSOY3xTAGHJOJSrFSM/niOQ0MpnLJIXjNI5jQEAR7ZNUhWs9KFCprBgcEU8WzBCil2SLhkCRN4sWO05O1/6sAwb1pVz0O7+knnLWPi0T2DzKvwznpedbnr55mDw8XSXpbAY3PEQ1PETchjGe17+5MIAiytC7D16DhOWaQnlmXfQAK/UybrdTCekdB0k+5khkFJ5O2XNPHGFXXs7IlRG3SRLEa61AVdjKQLpPMaR8cyCAg8c3CE+57tQJGs+20wnmM4lac26Oaq+ZU8uK0XURSsP8Ear3UD7rq0kbYqLy3RQfK6wb7+JNmCxlAiXzqm1yys4pE9A7gVCYcs8vjeITpHMjRHveTVAqIglNKnLm2NHPcYTebS1ghPH7AqHy2pC8xaOdkToaAb+J0ykiSWLaGqSCIZ1STkmYg+KG+cbmiN8mQx8mlhjb8kPjuZ7z7XiWZAtd/J/sE0T+wfnlFq8b+ePsKBYhnOvniWLz9ygC/ftXJKm+6xNN3jOQQBDENgc8fYjH3puhU+7yjem6Zh5am7pnnBh1NqMQT+2PNwOlGvkwVVfjKqhtchW0bWNBbVBnDJEindRBSg/TQWtZuiHj50dRu6YZ73EXGziWlaIsCiVCxVeAYXu84ETvmYHZGwjfjZ44GiF/6ytuhZKYt2oXLHmnoe3j3AI3sG+eiPt/KzP7y89PCzmTukC+Ch0FdGyGYu8bkUFtcG8LtkOkbSVimwkJuW6Mkt3Ezk40Z8Tla5FForvbx5dT2yJJIu5mTndRPDBMUwEUWoC7qo8L/6SryJiWmYljIulljbwaEUQ4k8JtaiR28sM8OI181jQnuGbnK8RL7nDo2wpWucoWQOj0NmW9c46bxmlXsRrJJZ09nVG+epA8OIgsCNS6vnvKJHrqDx97/Zx6GhFHUhF391yxIiZSpFTDfgwVr08DplTKzUBNU0pugTKJJAxOfAJUnUhFy4HNY2DNMkq1oTQE03eP3SGhbVBPA4JH65ow9BTOASrdry9WEXw8k8FX4nSlbFIYns7kuwty9JumAJ7lmYVPkcXL+4qpSLC5YX81c7+ugey3J4OMn+wQQFzcAhi+zoiXHNwioaI96SEahIAo1F4Z/t3eP8ansfsYyKzyUT9jjY0BrhF9v7GEkWaK/ycfOymlOuFjJdi+JCqd+7pilE12iaff1JdMMs5alGvQ4G4jnymsFIMk9W1REQ8HhkKv0uHts7yLajMdJ5jdYKLzt74hweTvPcoZFi26Jq/YQGQl7H65DIqgZ5zSDkVugeyzCSylvq61jRQG6HRF8sS0G3yt/lVWsbY+kCR4uRHiGPoyQ+VpgkQmaJws3uefndvkF29SYIuhVuXVlXWmyJZ1S298TIqTpRr4N/fmw/gwkrSuUvb1nEmuYwDkmkN5ZlS9c42YJmGf1F4bREVmNBjYt9A3l0wyRj6Hz/+S4e3ztIc8TNYCJHPGOJn7kUiXRWI1XQEEzoGEnROWpdx36XzHhGxeeUGUsXCLoUrl5eQzxbYDRdoGMkjbcYORd0K0iiwJrmCEfHsmzviRHPquRUnW3d44QmGdaSIJbCxQ1z6vXvc8rEsyoO2SqHdd+zHaTzGuuaw1zWXlH2OE4s+hY0/aTL0J0u27tjZHEhSbCsjCde003aKn1WSLl4/OiCvKqzpcvSdqgqltabTu94lp09MTQDPA6ReGamPk8yZ+Wla0V1/1QZozqZ1cjkJ8ZMo2zpV1EUcMkSScH6zCGLKGU88fsGEpbYnglZTee5QyOsnzdVQLY+7GZ1c4icauBWyteSD7kVFtRY5YtdisTCmtNzSgmCldJlc4zL26OMpa2IuKjPwVI7tXkK5//Mfg7Iazo/3HwUgLetL1+izubUEASBL9yxnJqAi8PDaT5x/3aMC2xl7Vxk/rS8N0U+/x4UyfyZVdj3OmVuW1nHupYIb1/fyF/dsoS3rG046VXyJbUBokXDMuxVuG5RVWkbsiAU8+koGZCyKBYVcV/7HE3kawuCpYydzuuWEWqCqpkkponxqLrBoaFkKZfXBOLZmcd1MJHjxQ4r1PjgYIrDwyn8LpmiWDEg0FQxdTEjp+o8vtcS58mpOg/vHsCYZkQYx6nve6r8Ykc/BwaTGKalVvyjF7tOehvNFR4EwTKwgm5HqR6w3ykT9TrxuuRiSLR11NyKzMrGIMvrg6xoCOF1ytQEXezsjTOUyLOo2o9DltANk7eua+Ivb17MqsYQ1X5LbE03rJM9vWzTrr4E9SF3yYBXdYMdPTG6RjOousFYulDysE4YZ5mCZShcvbCS5Q1BLm+vKOVJHxhMMZ5RMbEUuHf3J3jhyBhDiTyGaXJgMMm+geSrHpvJhsrkf2cKGvOrfVQFLEPEpUisPMd1QU6UfQNJukYzuB0SI6kCOdXA65ToGs3gkEScilgK8RcEyxOfV3WGEnkqfE5SeY39A5ZYW66gkcpbZdFU3QBTIOxWrAoIopVrvKQ2gKZb+bSGaS3mWdEvoGoGBdVAEq3FI1kUcSsiiiTSXuXDJUscGbZC7C8tGiGXtVVgFHN0VzeFSgbr6aLqBl2jabZ3x4vXY55nDg5jGGaxAoe14GGa0Dma4fCwVfayP57lh5u7qPK7CHkcbO+OE3Ap6EUvqRWeLoAATVEvVT4n1X4nmKAblnH/yJ4hDg1lcMoiAbdM1OtAlkUM01okNU3r+PhdMmLRWydLAotq/HicMluPxljdHKY26GZpXZC1zWHaq3xcv9hKO5GKqVa3r6qnLuTCpUgUdBPNPHbN37GmvlTuc36VrxRiLokCo+kCjmLptG8/12HpnximJUSYyFGOR3YPAlaE15P7h6YIOs416bxuLebqJr/e2T/j86BHYUVDEEkChwiXt5VfiPj2sx3kChqGafLLHX30xmYu7A4kM+imdT3mNYPhMkJ6G1rDRb0CHUEQWNcys9RmpqCiGdbilgllj5cgCCyo8eFzyngVmfYqX9kFXEW0BGURrIiYiWiqyaxsCLGxtYIF1T4ua6tgaZmoUbPY7qoFlVzeXlHWW29zety1rpF3XdrMG1fU8vHrF1B3gpGUFwu2J74Mv9jWx0gqT23QZZeWmwMqfE7+491rues/nuexvYN8+ZH9/PlNi852ty5oUgUdv1NCLSpnn4/RD7M1GT0ZWiq8p51/5VIk3nFJE4mchs8pTxH/0TGJeq0aqHnNwOeSWd0UOq4gz2Q03RJYsiqhWdb1RJkrAAwTb1FVOFvQ+b9XehlM5Mjk1Cm+93J7mQhZm+iDaVghzm5FpKBb4kHLpk1qJibSEwwn83zjyUPohrWantcMPveL3aQLGkvqgnzyyvITw5Nhpjf45GvI1gTc3LyslnRBw++Uuby9giq/k0NDKXb1JShoOk5FKhlua5rCHB5OkcxpRH0OltVZxuvEMZOLBtbG1ihHRlLs6UswVCyF6FIkMqpuifNMK0swlMjzpz/ZztffsZpfbO+nP54jnivQOZIhW9DJFXQq/Q6cshXS++KRMV44MmZ5Ot+wEEWU8LuU0vXVFHXjdkhkC1ZprnkVHvRpobPH89JqusEvd/TROZIh6FZwKxIDiRx+l8SBwRRdoxnCHoVP3rSYgEfB65QYHphpDJxPJHMq//dKL/sHkgwn8yys8Vtq0g6Ju1fPQxYFxjMqe/oS+F0K1QEXoiCwqjFoefvylsGaU3UyBY2cZpa8hW6HhCyKOGWRsM9J2ASXQ8LrkPE5JRyywJ6+BFlVRzOs/HmwdC7ymgZFo75gGJh5k8ND1jkQMKkMuLh1RS1NUQ9HhlN87/lOesczzKv0zVq62o9f7CJjOnHKAgcGE4ylLRGznGaUygEKAqxuDKHqJgcGE2zviaPpBrIkllTmwTLM26t81IfdGKZJ12gazbBSTfrGMyTzasnIDLkU4jnLIE7mCsSzUOGV6RvPEc+pGMXQY5cioRRFKXOqgUu2FMonFkJ1wyxVMon4HFwyL8LWozG+u6mTS+ZFuKytArHocV5WFyxpHYTcxzzQq5vCfO3tqxlJF2gOexBEgXhWxTRNvv/8scXD6Ytzxwv/nfz+9LFzrpkQWDXMqRU9JvPTLT08c3AEUQRFkcqK9x4dS3NkJINpQsgjl60nrxXLaFqLUyYFbWYbRRat2u6CeFwF94JuLcwIxYVrR5l684IAEa+ThrAHE6sGd7nF8OsXVfPLHX3ohqVRU67ihygKXDH/1Z9R8yp8NEe9HB3L4FRELj1OOVibU8elSNy2aqZGgo2F7YmfhmmafPu5TgDes7Gl7CqezemzsjHEF9+8HIBvPHmYbz51+Cz36MLmxiU1LK4NlNRf37a+8Wx36aQ50+H0s4ksiUS8jhnqvbctr2N+UTHf75ZZ1xIp5upW4CwzSZlM12impB4Mlnr/ZCNWECBdVD9+5eg4g0WP0DFNbYvBRI6x1NQQx7qgi0U1fvwumeqAi8aIm5xm4FFEPA4RtywwOK1sodshlSYxomDJ7OdUg4Km8+yhEf7l8QOlCeOevjgP7Rp8zeP2WrxxeW0pFDXoVnjLmpO/rte3hIn6HIQ9DurDHta2hGmv9rOxrYKw14HbYXnaJzwxQY/C3Ze1cM/l83jnhmbcRTX71U0h3IpIKq8S8VqG7cHBFP3xHOPpAl6nyOXtUdorPVZd2DJz9s6RNN99roOjY5ZhFEurjKWs8GKfS2JprZ9ldQECLomcqpEt6PSNp/nplj6iPueU62tNU4RrF1aytC7Ale0VXD2/ivUtkZIIZ13IddxqHfsGknQMp1F1gwODCTYdtnJ3t3TGeOVoDLBKRf34paNEvI7XvFbPB17sGGM0VSDicWACA/EcDkng0tYIDlnkxqU1uB0STREP8yq8BFxKqRzgLctrAeiP53DKohVWbRh4HBJKMfy7LuRkZWOQsFsh4FLY0BLhY9e3s6gmUBTDtBbLoFjWqljyTBRFNN2am4gCRW+9FYWhFeug/98rfQD8dGsvA/EsINA5nOYX23oZS+dPKtotp+ozFsPGUtZixEAiz1j6WK3u/QPJUlRIIqPidcq4HRKVAVdpIcI0mVJR6Ir5laVFx5YKL36nTMAlF0PY42CYhJwi9UEXQbeCaZp4HFLR0LVEH+PZApIooEgCLkWgIWxV19B0kyq/g6jPRSpv0BuzqpisaAiyuWMMp2Jt53vPd5V+5+YjY4wXNSWaIx7aqny4HRJelzwjFD7ocdBW6UOWrWiMiNdB1OdkfdErLwoCd61rKN2Hi2v9x1V2v3pBZWlhcH1L5OwtrJcZiLYfHS9GWehoms73NpWPcIplVXTDSvPIFvSyCwKmKZTWKo1JC1ST2XRolIyqIYkCqm6w6dDojDaXtUYIuR2lyLPVjaGyP2UiumVJbZD6sLvsOPvh69p5z2Ut3L6mnj97/YITqnhRjolytPdcMY97r2gtG3JvYzOX2J74aaTyGnVBF0dH07zjEjuUfi65c20Dg8kcX/rtfv7hoX1ousEfXttuVwKYI/73g5expy9O2OOg9jx82FxIpUUmcDgkvn/PBo4Mp4j6LGPINCkZhq+GqhuoRa+GCaiaZqmjC8fEYCaYPI+ZLmTUH8vwoR9uYW1zuBQRIwgCNy+v5coFlTgkkYJu8IttvTy2Z4CCbtVyHkzMXFTZ2BZlVWMIQYD/9/A+Xu4aK5UKmwtHU9Dj4Ct3rWQ4lZ9hxJ4oIY+D3798HpmCJWA0kSM+YaxPfx+sRZmgZ+q+ntg3xE9e7iarGiyoPlbHWzcMBpN5Kxy+YNUPl0QBEZgsF2VgPX8e3NZHyO0g6nPgksXieGhimgIdo1mrlFFGtdTTi9EXKxpmhp8KgqUF4JRFJElEECHqcfL7l7eQVXV8Tvm4Y62qGezpT5DMaRR0g8pi/q5xvELIFwAT16coCkQ8Cnox/LdnPEuV30VD2MP7r2wlrxk4ZZFUXkORRLwOCUEQ+L1LGiloOgXdYFdvgoaIh9aoh57xHLVhFyMpK+Q6nrVU9/tiWb7+xGFGUnkGi4KKE3emJFme5IJulT0zDMuAFwXr3tQM6/2cqjOUzPPswWHesKIW3TAYTuZJ5qwFnkPDKR7c2svqpjB/ecvi14xmeubgMC93jiOLAjctq2H6U0LAMnSjPieiAIeHj4kZ+lwKv395C7oJv93VT9eItQhk3SvHPNr9sSwvdY2TVw0ckkBtyPLIJ9J5Do1mS5FEDSEnt62spz7sZnPHGMn8sbtFFkEQTasEmAHDyQIClt7HUNJa5HAqliClYZhsPTpOXtNLi02pnMbLnWMY5tTyaaIocNvKupII5Yk6ca6YX8Ga5mN1wK9eYFDQjVetWrOkLkBrpRejWK7uTCKL1vggCNZ5m87EtV9K1xLLC9ul83pJXyWr6sdk4ScRy+RL51QzIVMmnWr6KFRuzUmWZS6ZF6FjJI1LkVhaRi1eFAV29cZ4qigYuL4lUvaZ0BD28PHXLbCi304zwk8QhDMqSmhjMxnbzTwNv0vhvrvX8+xfXGfnt5wBPnxNOx+7fj4AX37kAJ+4f9us5szaTGVJXfC8NODhWJ34C5HWSh9BtwOXIp2QAQ+W12+ytoEiy3gcctFTAU5FZF6FJSy3uilUEspL5qZOyCYmTFu6xtnePV563zRNdN2aEPucMvsHkqVSL4Zh0jlaPjJCMyx1fAGhNDkTBbj3inm4FBHDMJlf7ePmZdVlv3+yyLJIbch9WrXRJdFKMZku8na896czni5w/4tHyWkGggBHRtLs6InTWunFNK0FqIBbYTCRI5nTiHidM/eFtXgTclthv1btagh5FERBYCBhefQlUSSWVUslqUwT+uMZukbT5CZ5wnb1JhhM5HHIEomsypZO69waJiUdhuNhcqxusc8plzQd1jaGWV4XQNMN/C6Zd2y4cBa618+LEPIoGKbJWEalNuhGEASePjBc8kwrkojPKaNIImGPY8pCSE3QzYbWKD6nQn3YzbwKH7G8TkPEQzKnM5LMs38gSV4z2D+YZO9AkpFUnryml4xyoWioS4JAfdhDU9SDiBVS6lAsy0sSRSTBKhNqmpb3162IPHVgmJUNQWTRKn13rHa1xoGBJE/sGwKscx/LFDg0lKRj+JgmQjyj8nLxGtEMkyf3D5c+C3ksQ2dJXYDL2ytwyCJBj8I7NjQhClbY+jULK3E7ZHxOmVuW19JS4cUhWzXX337JsQiZH790lIJqYJomOc1AlgRUzUAzpxpv/fE8qmES9jjIFfQphp6ApUQuFReqBMF609IWsTaiiAKCYC24FTQrXx4ssbPmiMc62BT1ByZvWxBK5/hk8DjkUhi4QxZPyDh0KdIZN+DBquAhiQJOWeLPblww4/PqoAvPpOdQ1FteZDU7KRJMN8qLnQ4kpubAbyqjKr+xLVp6djlkkY1tM0vaTQiqeospaeVG5FxO44UjYyiSFaWxoyfGULy8JsHEvWxjcz5jX8HH4VTKV9mcGn98wwIq/U4++4vd/GxbHy92jPGXb1jMLctqT1k52ebCw63Ya46TcSoiFT5nKS+zyu9EEkWaIh4M05oMFauu4XHIvPvSZnKqzn3PHkGd5NWanDMoFb9gmpbg0cHBFIok8IYVdTgkEVmycu4FLG/OdJ47NMKLHWMIgmUIrG+JYGIZw4trA7xlbSPjmQItUR+CcOF4dUVBmOLVFhBQRIE3raon5FbY0jWOXiw/N5LO45AtD+5EfrwJ1AScLKoNMpzMAyZiUeF+YY2fI8NphpLWAoDPKSOJgmUwOaxSYzt7k/z5AzsIuGQ+88alNEY9M8JWBcHSKXhwaw+ZgqWIfefa+rKh8A5ZZEltAN2w1KKX14e4ckEFmPDgK71UF0Odz4YBMlcE3VbkRU7V+dYzHaWcZVEQyhoM5bhmYRWXtVUgi5a3/OkDw+zsjRMv5sZPXCMiFEW1LCHLqoATwzSLQnkSlX4nn37jEpyKyFce3s94ViWZVSnoJnUhl+W9T+RK4l798TzxTIGNrVFuXFrN5s4xjo6kj1UMEKyFpExB4ycv9/CzV3o5MpzC45C5eXkNn7l1KcK0+3lykMY7NjTj9PhKRmpe03FIVpTIZW1WCs1kwU+PQ+ZLb1lJMqfidUil8o9geW/74zlMTBRJpDbgRC5ua3IXTOA3OwcAk4JuKYSrxYUJl8NaHKj0ORhJa1T4rDDrWEblxiVV6MWwe3HSj1peH+LS1iiyKPD95zuJ+BxWxFKx5NzFxON/cg3jBYm6oANFmemsEhGoDrpxKVb5vOrjpATIolDKg7dy52c+FMxpq4VimedG0OPkresaSeUKuBWJpuhMHRpRsHLQmyJeRIGyddRlmVIkWul753+mj43NcbFnxTbnBO++tJkf3buBpoiHvniOj/zoFW7856f5j6cO0xs7f3OhbWaPW1ba4iaTuefyVlorfcVSaQpXtFdw75Xz8LosI++ahZUsqZ0acuhSpBm5hA1hN6IgcNWCylIIeF88x8Fi3V5VN3nu0Ai3LK0hUAy9VCSBm5bUTtlOtqDzYscYWVUvec4swSmRK+dXsqc/USzXIzOYyHF4ODU3B+YsEPQo3H15CwGX5TVfVh/k9tUNgFVLuT7sRpZErl9SxcKiyNfG9ihVAassU4XPmsQ2hj04JAGHLFLld1EXdDKeVknmNJqjXip8ThI5zcrbr/QhipZnNuq16onHsioPbrPKoy6rD9JcLIdYFbDydrd0jZEp6iQMJnLsn6ROn1N1+mNZ+uIZ5lV4aa30IksiFX4XG1ojOGVL1G4gnsMhW6XRXu6c6VU7nxEEa3HkhqXVJW/e9YurTqoihUMW0U2TWLbA6uYQlX4ndSE3rZVeltUHCHscrGoKsbopTE3QTVPUw7L6EBvbongdlvL6dYuqWNkYYmG1n9cvr8XrsMrYrWkK0V7lw63I+FwKTllGEgQUWcCpSCys8dMQ9tAa9dFa6SPsdRD2KKxqDHHNoip29sTpj2c5NJzCME3yms5DOwcYSeUIuBSunF9RKuH2ukm1vIVpYmNOWSotSMiSeNzjY0WxTP2srcqLIJiouoluGOQ0s3SdBVwKgiggSQLVfmdpIaHC58DjEJFFAZ9ToS5gtXUpCutbwghY9d/ff1UrIa8TpyJx/eKq0nhWE3SxriVcXNgUuH5xNd6it/2ytmipHvrFgm6YeJwymln+vHmcMnVBV+nczjuOuOuqhlBxEUSgJuBmVZm0nvC0Y7ugambZ0aV1AVoqPPjdDmrDHi5pmemJrwpY51CRRHwumWsXVc5oI8syb1/fhCRa5/n21XVU+M5s+T4bmzPJhbOMbnPes6E1ym8/fiX/8dQRvv1cB4eGUnzxoX188aF9tFZ42dgWZWNblEtbo6UaqzYXLpaI07HXE+GQNhZuh8QP3reBQkEveUAOFIXUVE2nLuTGNM0Zec9NEQ8N4QyqquF2KvzxjQu5YXEN8iTXujLNNeWQRBSHyLL6IKmchiKLM7wzoghHxzL0FRfd2qt8fOiaNivkVxR4bM9UITupnEvmPOaGJTVcv6jaUsyedCxdisTb1jdZec2iAJeBphmkVZ2fvNzNeCpH2OfirnWN+J0yW46O88yB4dJ5u3J+BYeGUqXXTRE3d661wpMLBZ0fvXSU7zzXiVb0mutFz5giidyxpuHYfrG8vpOZCBkeSua4/8VuthwdBxPWNId5+yWN3LqibpoWwNTr4mTLLZ4vLKoJlBZbTlajJZXX+N+XuolnVTwOibvWNRJyWykZhmGWDFNBEEqCcxOfiaKAphml60cQBO5c08Cbi+rM23tiPLl/iKaIh4hXIZmzPPFtVT6qAy6eOzRCfzxHdcDJm1fXsaE1iq4fux5lSSzl1mvFnHrdMPnZ1j7etbGZdS0R1jSFS+e8p2ec2SaT1zERkEVLtdw0DSb8SX/8+gXcsaIOn9fBPd99sRRpIAoiX//QGjyyyKHRNF95dD+pnIZumrgViUtbLeOxOerlknmRKdf85H9P0Bjx8MGr28p+djHw0609JHWrksXtq+upn5ZiJ4kCKxtDLKsLIIoigePkfC9rCGIAmqZRG/aWrXHuc8pIQr74HKCsgJ8iibx5dcNrno8r51dyebGSwPH45C2L+dMbrRRNWb745gwX39V8cXNhPoFtzls8DplP3LCA5z55HV9483IuaYkgFnNMf7j5KB/50Sus+7vHuPGrT/E3P9/Fb3f1E8/YOfQXIo5JBoIIOCU7Lq4cjmI966Fkns0do+iGpWh9ZDjNQJkaxQtq/HgdMg5FptLvJORWGCoqoE9QFXBxaWsUhywS9ihcs6gS07TyESdKOknTJmy6YU2o5WIY+MT5m5hwbWyLUhdyoUgCi2v9tFfO9Mic74iiMMWAn/7ZBLIssrMnTjKnIcsyyZzGzp44oiiwqjFEW5UPRRJojnp4/bIa1hYFmip8Dq5bdMxD6nBItFV6S3nzfpfCgmrfcfe7sS1KbdCFIFje+Ybi5H1rV4yecauUXVbV6R3P8mLHGP2TQrYBFlb7i1UuBGqDLja2XbgllYRpKRInyp6+RCl8PlPQ2dY9XjoHoihM2a4oClM+A8pePxPtnj88SiqvE/UqCIJAbdBNddDNgmo/G1sjvHBklGTOqje/uWPc0mOYtL2VDUEW1QZZ1xyx1N1lkdVNIZJ5jb39iSn9mCsGEjkkQSgZh9UBN4okML/Kx1vWNuArpjLee0UrPqeCU5F4+yWNRHwOXC4rb9rrkJFES3iuZzxLpmCQVQ1eODJqqfgXf0NO1elP5Mgcp4zaxWjAg1XppT+eZSyVLxtN43PKXLeoCrdTxu+SuXFJef0Sh2xVu3E6FLwO+Vj6xiQW1viRivoETlli8XEqYsCJnY8TaSPL8kVlwE8+JEqZhRSbC5eL5yq3Oa8IuCzRnHdsaCKeVXmpY4znDo/w/OFR9g0kOTCY4sBgiu8934UkCmyYF+HGJdXcsLRmxqqyzfmJU7ZU0cHyIE6IK9lMZSIPHWA8UyiFL05MmqZTE3Rz07IawMqR/u3uIUKecRrCbu5Y01AqezQR+TJBIqvSVumjrRjFGJrmnZFEy7CrLAroeRzSFCPI65R52/pjQmg9PT2n+9PPa5zT8kddxdeKJPKmaXVxr15QydULZoaPAvjdU+scR44jQgXWOXjjyjr+58WjDCXyfP+FLt6ytgGnIk6JjDAx2XRolIODKRyyyJtX11MXciMWVcuh5mR/7kWDc5oR7prF8ntHRtJ0F8sPtlR4+eytS0tCmD3jGXb0xFF1Sz1/bXOY6WsQsiRy28o6bltZxxP7h9hWLBcIlK3NPReE3Ao1xSgeQYA/v3kRbWUW9C5rr5hR4g3A5ZBorfTRWmktHL7YOcbO3jgA8yq8pTEnkVP535e6SeY0XIrEW9Y2lMami50n9g9REK0a6kF3+VSCFQ0hVjSEXnU7VX4Xa5qKi7WCUFZctCnqZXXTsTD7oNcOb59tJFHELN7rdlnsiwt7VmxzzhN0K7xuSTWvK64Gj6ULbD4yyvNHRnnu0AiHh9NsOjzKpsOjfPaXe1haF+BH77/0LPfa5nSpC7k4NJTGwCTolvE47WoR0zFNk6f2D5PXdAIuBWfRc67qJmtbwkTKCHRe0V5BMqcxls4znrbUzwF6it6ZhrCn7L7aKn2sbgpxYDBJxOvk8mkTbKcscdOyGp46MIxczDu1OT6rGkMMJfL0jGdoCHtYVabu8YmwvD7IQDxH12ia2pCbdWXySWOZAuMZldqgi/0DiVIYdkEz2N4d46oFlYynC0UVdpOagKsUmVHQDHb0xOwayCfIsvog/cXzURN0sbZlZp7wqRDPqARcMm5FQi/WTp9cyWJXb4J5FV66RtMIgsD8aj/98Ry6YdIQds+IKtjYGiWWKTCczNNa4WPRq3hIZ5MPXd3G1544RCqn8bol1WUN+FejrdLHmuYw+wcS+JwyrRVe+mJZBEHA45BLIdl7+45d5zlVZ2dvbEoUy+mSUy2BvojHcV5WMjJME1kU6YufuubQ65fW8OieAfKawca2aFm197sva2E0XWA4mWNVY5hrFsxcmLE5PcIeiXHNEuCsOY4Ioc2FiW3E25x3RLwObl5ey83LLWGtzpE0j+4Z5NE9g7zcNUa2oBNwySRfYzs25zYRr5OqgDUJmyhdZDOVbd0x9vTHUXUTn0tmVWOId17a/Kqr8V6nzFvWWqJrD2zpKXn2BAHcr+KNEwSBaxZWTfH6Tmd+tZ/51WfGGDjfUSSRN6yofe2Gr4FU8o6X5+hohp9v60UzrDJbqxunGpUTpbHuWNPAHWus6+LAYJJf7+gvtXFfQCr0c81rnY9TxUptcbCy0TIYw9MMR49DIuJ1lBbuYtkC97/UDVj6FG9cUTvFkHcpEm8uii+eSdqr/fzL21ef1jYmIlM03WA8o1IdsAwXr1MqhVtPr5zgVmbvGk7lNf7nxaNWOowocPvqehoj5Rc/z0UKmoHoEKxSoKcRfV0TdPHujS2v2qYq4OIf71xx6juxeU0CLgdO0YoyCds16y8q7CezzXlPS4WX91/VyvuvamU0lae3uCpvc36zpC7AaLqAZhgsqvZfsCJap8O27hgLqv10jqYxDJMNLZGTCqe7YXE1D+8ZIJPXWNscKVu2x+b8ZkdvrFQuLZnTkCVY3RTiyHCa6oCLS+bN9NzPr/KxtjnM4eEUlX4nl7bObGNzZnE7JG5eXsNzh0ZxyCLXL566mLahNUIypzGUzNFa6WNHT6z02aGhFMm8VqoucaEgSyJvXFHL00UhyOsWHTsmS+sCDKdydI5kqAtZyuazxaGhVMnLrxkmO3vj55UR3xjxMJwX8Tpklk6rYGJz/rGgxs/hmI4oiCyus8/nxYRtxNtcUER9TtsQuUCYV+EreVNkUSjlDNscw+9S8LsUlteHEAWBhTWBk/p+0KPw1nWNc9Q7m3OB6WrQfpfCysYw1yw8/neEYsnBq46Th29zdmiv8tNeVT7SxSlLUyI7OoZTjBdFXx2yOCNX/0KhOerl3RvL1BUXhVkNn5/M9Kiw8y1KbGVDCJfXSmOww6/Pf9qrfCxstO6B6RE6Nhc259fIM4foulU7t6enh0Dg5CbCNucm3d1WKOHRo0cJhUJntzM2J82KsM6m0Th53WB1U4jRQSu81z6fx1ga0ogNJ8iqOisagiTHBkmeJ6W77fvzzNDkMDgqphlP55kX9eLIx+iZ5KWdLezzeW6xpsJk0yErCmNdS4Thgf7X/tI07HNaHhfQ5snTOZom4nPS6HCdF0KdE+ez1ZNhMFsg5HEwz+M8L/puM5OJ87kypLN/fBxZFFjTVGGfz/OURMKqEDJhj54IgmmaM2tCXIS89NJLXHLJJWe7GzY2NjY2NjY2NjY2NjYXGS+++CLr168/oba2EV9kfHycSCTCPz7wLLpkqfD+ckcvYY8TCYOd/SkcsgCmSVad3UMmAghWaRoTS3TEpYgE3QptVT7+9rZlVAaOhTw9snuAg4MpTNPk5a5xGiNuagJWn+++vAVvMbQrr+l86+mOKft6/1WtZcuAXIj09PSwdOlSuru77eiKC4AL/Xx++ZH9/HRLN6puohsmHkXkttX1rGkMc8PSmUJZl37hUVJ541W3WeGRefIvrueZg8Ps6LbKMP37U4dntPM5rTHhI9e2866N83jpyBhff/IQeVVnJJ3H45DpGk2jTdvdrs+9vvTvjpEUH/j+y6XXo2mV5XV+BMHadn88SzxbKH1+TYPCv3/0TWfsfE6MmxNc1h6dUvoI4LG9g+zvtyQxH97dTzyrlsbL6xdX88mbF/PEviH29Fkr5i92jpLKaYiiwL7+JJOfDBGPjFOR6I/nT7iPsiggSwKyaIW9Z/Maed1EEiGdNzABSYCJcsyKJJRqM0/UB24Mu/nFR6/ki7/Zw+/2DZEt6GiGQaXfhc8pE8+qRRV6WFjt402rGzFNk2cODtM9ZilVJ3Iqw4kcLoeEqhl4nDJvWF7H5iOjHBlJ4S6+73bIvHFFHQB+I8FH77z2vL0/H90zwIGBFLphsvXoOGPpAlnVynuuDbi5eUUNBc3g6QPDbOmyPNwCliBk0CWDAFnVQDdMNN3kRGYJE8otpzujUCSBCp+TfEEjltMoSiAgAB6HiM8l84GrWmmJ+nj64HBxnLE+lyWBO9c2sGFehJ09idI2HYrAzfOcLF26lM/88ClcHh8dIyk6RtP4nQqmaZIqaFy30ApZf+LAEB5FQhQEDg8nyRR0FEnAMMHrkHjLWqu8ZLnxZzYRin/GxL8FMEyQREv8z+eUyeT1KQKcn7x5IYum5YY/tLOfI8Pp0uurFlSwvFhybXv3OM8eHAUgni3wwpHRUmlHRRL4r/ee2AT8eBQ0g/96+siU92Zj7jbxDK3/0HcRncdy+CeP4wDfe+4I/++Rg6XXogA7Pju1DcCyv3l4yusr2qN8893rXrVNuf39/rdfZNuk6KC6oItf/9FVU9p88aHd/HjzMQ+zLIls/fQNU9r0jWW58V+envLeV9+6ghuWThUQXfnZh5lc0v6SljDf/v2pTrwbv/okA5PG7sawh1//0ZVT2tz8L0/RPZZ71d92onxvUwep3DEP7FvWNlD9GqkOJ3o+bc4PEokEjY2NjI2NEQ6fmIaHHU5fRJIsVebFzdUcGrcmOE01FeiGiSgIeItS5wKQF3UETv/BO4EsWvlssiQiYGIUdNwOCYdLYWlzDY01FVMG7yXN0J0aAKC6AqrCblwOmeqAi5qK8BRRt7b6FL0xa2LWEHZTEQnNUq/PfSYmkoFAYNYnlYeHU3zxN3vZ1h1jfpWfT968iJWnWCLK5sSYy/N5LnDjqhYe2hcjU9BBN6gIuQkHgyxpqSn7e69Z1sxvdg2+6jY/dON8AoEAS5slDo7rmCZTHvYTSE4Jhyxxy9o2AgEfaxe4CG8bJpFTcRoKtWE3ouLi8OixckRuWZjSr2VeLzUVEUZS1sSnygkOj7WvSr+TukqTpw4MA9YE7IaV1fw7Z+58Th43ZVFgcXM1Af/USdKyFoGuhDWyt9ZVsqc/gSQKiILADStbrGPZInIkbj0jmmtEusbSSIKAO2GSK65yCMDCpgjJrMpwPlkyql4Lh2yVyRJEAUWR8PoEYlkVTTdxihqaaU2oRQRMw0SSBEzdBMFSRRcEgauWNhIIBLhx1Tye7cpgyDqmqjOvNozXqdA1lmY8XUAUBJpqKlnWUoNhmuwb0xjKiYDAggqF1NFxa5uGybwqPy6vj/YGkYG8iCRQfN9Xyq1dHLaO5fl6fy5tgaNJ6/qojJr4/TqHh1Moskgw5GX9/HrGMyqHYwZ7RjQyBWseIIrQUhtgKJXHyOnohoGgm5imiWFa84TjGeuiUFyUMSyj81RxOyVWtEbpGsmQGkmjG2ZpwcfhlAj4XVy5pBm/W2HPiEoomCSeVcE0CXgcVIbDrG2vZ7QgM5a2FtoW1/oJBCyjwuWxznOz4iJhKEy4fpbVunB5rVzcpc0ifcW5Rm2Vg95i1QsRWFAfLF0nfr+PdOHEfu2pzLPE4pcErHvCNE0kQcAhCTgVCadLoa5SQZGtOV/Yo7BsXu0MNfulLSZ9GWt8VSSBRU3VBIp6O4ubnWwbKKAZJrLboDEjUCje+0vrZuf6b2uopHfcOp71szR3m+iX6PRMeQ5M7++bL23jX57pKwli+pxy2d80/Vny57etnNFuepsl1d4ZbW67pI1dI/uY8ClevqR+Rpt3X7mYn+4YL/WpLuye0SYQCKC4PCUDXQDu3DhT/CMSDjKaVktt7r5m8YxtXbOsmZ9s6cU0TQRB4HWrGme0edflC/nHSYsdAad0yud+cVMNO3uthfagW6G5tuI1F21O9HzanF9M2KMngu2JL5JIJAgGg8RiMbpTkFV12ip9PLV/mHRe5bL5Uf79ySPkVYO3r6/ny48cxDRhWa2HH7zYB8BVbX6ePmxZ+9e0h9jUEcMwoSbgJJFTCbgcrGkM0DmWRTNMol4nhmEQ8jp506pahpIFOkbShDwKqaxGW5WfN6yoLXnWJ9MxkmY4mach7GIoWUA3TJbVB3DKU09+QTPY1RdHAJbWBS8aLzxYq5SNjY3E4/FZHdQODia56z+eJ1YUDQIriuL791zChtborO3HZipzdT7PJZ45MMRPtvQQ8Spcu6iGpoiHeRUzRZsmeP+3X+DRA5ZHaGG1l6+/ZRE3/fsWNAPevKKGr75jbalt91iG/niO+rCbK/7hd5iAU4B3bGxmKJnnfVfMY03zMRXy3liGx/cO4VYkmiJu/C4HX/jNbl44MkbYrfDSp2+c0Z+hRJZvP9uJLIvcs7GZJw4Mk9MM3rC8Fr9L4auP7qdjJM1b1jYw36ee8fM5MW62RD1UBcp7ObpG0wwm8jRHPWw6NMLO3jhXzq/g2kkiWUdHMwwkcjRG3BwdzbBvIElL1M13nuukeyzLnWvruHVlA/sHEuzuTfDg1h5ieZX1jWEUWWTPQIJFNX4e3zOEZoIE3La6jvqQm7ZKH6m8TjKnsq4lzFha5ZkDQ1QGnCRzKrt7k1wyL4zXIfPE/mEumRfG71J4fO8Q61rC/OnrF5X6+cS+QZ45OEJ1wMnqpggtFR729iXY0RunOuDkkpYoLcXrq2MkzYGBBCCwoMZP73iG3+0bYnFtgKsXVtI5kqHC56AvnuV3e4dYWO3nusXVdIykifocOPOx8/7+7BxJM5TMUx9yMZDIsaMnDiasnxdhWX0QwzDZ0x9na1eMJ/YNkVE1Xr+0mqV1IYZTeQ4NpkjmVaJeBx0jacbTKpphGXeLqn0MJgv0xrKWd9yhkNN1mqNe2it8PLith66RDIpo4nU7CLsUcpoOgohDtiIxcgWNVF4n4lPwORWS2QJBt5Prl1Rz7xXzODiU4tvPHKFzNE1LhQ+nIiKLAm9eU8+KBsuz0xfLsrcvzpP7h9FNk+sXV7G8PkRVwEW2oLO7L45TllhSF6C/r5fGxkZ2dvSRMZ00Rz1k8hpPHxyhNuji2kVV7OqNYwLL6oI8fWCI3liOK+ZXsKcvzkM7B1hWH+T3L5/H7r44DlmkPeri9+57ib5YlmsWVHF0PM3RsSzXLqiiMezia08cQpFF/vR1rfzf9mEKms61C6v4ycvdjGUKRD0OAm6FwWSOgEvhqvmVPL5vEI9T5k9vnM9PXu4jU9D4vfVNvHR0jCPDGVY3BqkJuukcSTG/OsDtK+r47d5BUjmVG5fWHHcsODKcYiRVYF6Fl0r/VMHcoWSudE9EvA5+vbMflyxy68r6WZlnTczdKB7b2djmxDP0xi/+iv0xcEhw4O/fULbtpoPD/PXPduF2Snz37g1UBmYKBveNJXndV59D1XX+9MYF/ME188tuq/1Tv0YzoTni4qk/v75sm28/e4RHdg+ypinEn9+8uGybx/cM8JXHDhD1OfjWu9bgcDhmtNnXO8Z7v7cVwzD5xjvWsP44c7LbvvYMQ8kcH7iyjXuubC3b5nO/3MnmI+NcNb+ST95Svk9/+8td3P9yD5U+B0/82XVl25wI1tiSIKfqLK4NlJ33T2fifDZ+/H9LRvwSJ/zmc+XPqc25zYQdejLPUNuIL3IqB8/m3GYujL6CZnDr155l/2CSlQ1BPnnzYv7z6cM8sX+YSr+TRz9xFSHPzAeLzelzMRjxFxP2+bywsM/nhYd9Ti8s7PN5YWGfzwuLU7FDzwu37OjoKKtWrSr9LViwAFmWGRubKsPc2dmJJElT2h4+PLf5VzYXF99+roP9g0miXgffvns9G9uifP2da2ir9DKczPMvjx987Y3Y2NjY2NjY2NjY2NicIudFTnw0GmXbtm2l11/+8pd56qmniEQiM9r6/f4pbW1sZotsQS+JzfzFzYtK9eg9DpnP3raUd9/3Ij94vosPXNVKbdB9NrtqY2NjY2NjY2NjY3OBcl544qdz33338b73ve9sd8PmIuP+l44ymi7QGHFzx+r6KZ9dOb+SDfMiaIbJ9zZ1naUe2tjY2NjY2NjY2Nhc6Jx3RvymTZsYHx/njW98Y9nP0+k069evZ82aNXz+859H1/Wy7fL5PIlEYsqfjc3xME2T/958FIAPXNWGLM28dd53xTwAfrS5i5xa/rqzsbGxsbGxsbGxsbE5Hc47I/6+++7jPe95D7I8MxOgtraW3t5eXnrpJR577DGeeeYZ/umf/qnsdr74xS8SDAZLf42NjXPddZvzmO09cQ4NpXApIrevqivb5vrF1dSH3CRyGo/tffXSXzY2NjY2NjY2NjY2NqfCnBrx3/ve9/j1r39dev3nf/7nhEIhLrvsMrq6Tj7kOJVK8b//+7/cc889ZT93Op1UVVUBEIlEuOeee3jmmWfKtv3Upz5FPB4v/XV3d590f2wuHh7YYl0fNy2twe9SyraRRIHbV1sG/s9e6TtjfbOxsbGxsbGxsbGxuXiYUyP+C1/4Am63JfD1/PPP8/Wvf50vfelLVFRU8IlPfOKkt3f//fezcuVKFi1aVPbzoaEhVNWq3Z3P53nwwQdZvXp12bZOp5NAIDDlz8amHJpu8Ksd/QDcubbhVdvevsrKlX9y/xBj6cKc983GxsbGxsbGxsbG5uJiTo347u5u2tvbAfjZz37GnXfeyQc+8AG++MUvHtdD/mqUE7T7zGc+wze/+U0Ann32WVavXs3KlStZs2YNNTU1/NVf/dXp/xCbi5qXOseJZVTCHoWNrdFXbTu/2s/SugCaYfLYHjuk3sbGxsbGxsbGxsZmdpnTEnM+n4/R0VGampp45JFH+OM//mMAXC4X2Wz2pLe3adOmGe99/vOfL/37jjvu4I477jj1DtvYlOGRPQMAXLeouqyg3XRuXFLD7r4Ej+4d5K3rba0FGxsbGxsbGxsbG5vZY0498TfccAP33nsv9957LwcOHOCWW24BYPfu3bS0tMzlrm1sZgXTNHm06FG/cWn1CX3ndUssXYZnD47YKvU2NjY2NjY2NjY2NrPKnBrxX//617nssssYHh7mpz/9KdGoFYq8ZcsWfu/3fm8ud21jMyvsG0jSM57FKYtcOb/ihL6zpDZAXdBFVtXZdHhkjntoY2NjY2NjY2NjY3MxMWfh9Jqm8a//+q/8xV/8BQ0NU8XAPve5z83Vbm1sZpVnD1pG+GVtUTyOE7tdBEHg+sXV/OCFLh7bO8R1i07Mg29jY2NjY2NjY2NjY/NazJknXpZlvvSlL6Fp2lztwsZmznnhyCgAl7WdmBd+gusWWSH1T+0fxjTNWe+XjY2NjY2NjY2Njc3FyZyG019//fU89dRTc7kLG5s5QzdMXuwcA2BDa+SkvnvJvAiKJNAby3J0LDMX3bOxsbGxsbGxsbGxuQiZU3X6m2++mU9+8pPs3LmTtWvX4vV6p3x+2223zeXubWxOi739CZI5Db9TZklt4KS+63XKrG4K82LHGM8dGqU56n3tL9nY2NjY2NjY2NjY2LwGc2rEf/jDHwbgK1/5yozPBEFA123lbptzl4lQ+nUt4RMqLTedK9orikb8CO/Y0DTb3bOxsbGxsbGxsbGxuQiZ03B6wzCO+2cb8DbnOps7rFD6S1ujp/T9y9ut7z13eATDsPPibWxsbGxsbGxsbGxOnzk14ieTy+XO1K5sbE4bwzB5sWMiH/7UjPgVDSF8TplYRmVPf2I2u2djY2NjY2NjY2Njc5Eyp0a8ruv87d/+LfX19fh8Po4cOQLApz/9ae6777653LWNzWmxbyBJPKvidUgsqzu5fPgJFEnk0qIg3jMH7XrxNjY2NjY2NjY2Njanz5wa8X//93/Pd7/7Xb70pS/hcDhK7y9btoxvfetbc7lrG5vT4lg+fOSU8uEnuLzdKk236bBtxNvY2NjY2NjY2NjYnD5zasR///vf5z//8z955zvfiSRJpfdXrlzJvn375nLXNjanxeYOy4g/2dJy09nYZoXiv9w5TkEzTrtfNjY2NjY2NjY2NjYXN3NqxPf29tLe3j7jfcMwUFV1LndtY3PKGIZ52qJ2Eyyo8hP1OsiqOtt7YrPQOxsbGxsbGxsbGxubi5k5NeKXLFnCM888M+P9Bx54gNWrV8/lrm1sTpkDQ0liGRWPQ2J5ffC0tiWKApcWvfHPHx6dje7Z2NjY2NjY2NjY2FzEzGmd+M985jO8973vpbe3F8MwePDBB9m/fz/f//73+dWvfjWXuz7rpHIaP36xi5qgi/UtYf79ycN4HQrXLKygYyRNXtV5sWOUTYdHaYl6Wd0Y5vkjoyys9XPNwip+u3uATE7F7RCp9Lm4ZnE1yazGK93jzKvwsLw+TNDjwDBMDNNgPK1SE3IRcCkMxHPIkkhD2I3XKZMpaAwm8kS8DoJupdTHZE5lJFWgyu/E6zx2KfTFsuiGSUPYjSAIAJimSc94FlEUqA+5T/p4TPQh6nMQcCmv/YWzyOYjlhd+bXMY5TTy4SfY2Brl1zv62XR4hI9dP/+0t2czN2QLKo/uGcLnlFjTHOHxfUPU+p0gCPSMpRlM5tANuGJ+JTVBFwANYU/xuzp/cv9WDg2n+YubFnH9kpop2/7uM0f4z2eOYBga8ZzB65dV889vXwvA/710hL/51QFaK9zcuKye8UyOt61rZF5lAEkUzuxBOA8ZSeXY259kXoUH0xQYTxcIuGVMLHHJrZ3jPHNohKaIi0NDaRBM3nPpPI6MJPnVjn4awy4ODCQ5OJjm3itbkWWBh3cNcvWCKIeH0mzpjvPmVXVcvaiKV47GWNUYJOBW2NoVoynioTnqQTMojaM5VWdffwJBEFhcG8Ahn94Yks5rDCXzVPgc+M/xsfNsMJjIkVcN6sNudMNka9c46YKKU5ao8juJZVS8Trl0nfhcMsvqgvz05aMMJAtUB5wEXDKSKBHyyCiSRDxTYCyTpzHkQTNNxlMF4nmVlqiXvKajayZHRlJkCjo3LquhJuBmMJlnQZWXw8NpdvTEWTcvzLULqxlK5omlCwynctSH3DRGvBweTmGYJisbQqeluXK+0xfL0DmSYV6Fl9oy84pUTmNb9zgRnwNNN9ENk8W1ATqGU2ztGqc26KY+7EIzIOR1UB9y88ieAfb1J7istQIDk6f2D7O0LoDfqfCNJw+xoNZDQ8jHpsMjuGSJd13azK6+OFu7xmmKelhaG2BbbxyHKHDF/EpWNgR5ZM8gY2mVtgovmYLOeCbPkvogEY+DzpEMAafEQDKPahisaYogiwLd4xmaIh7qi8+Icjy+d4BUTufmpTU4HNJx2802PWMpnn5liCW1Aa5aUFW2TSyZ488e3EmF18EX37LytPb3n08dYtPhUT58TRuXtFaUbbP5yAgPbOnlmoUVvGFFfdk2O3vH+MSPt9MQcfPdey497v7e/a0XKOg633n3ajye8sf/gS3dHBxM8p5LW6iPlG/zT7/dyy+29/OWdXV89PpFZdscHEhy33NHWNkQ4vc2NJdtYxgGL3WO45BFVjeFj9vv//fbvXSPZfn0G5dSGXCWbbOnN87u/gSXtR07jl/+zaN8f5s1J+n8hzccd/vnK4/vGeDgcIo7VjVQVZx7XSjs6B7jBy90c1lrhOvnn7zTUDBNc04LWD/zzDN8/vOfZ/v27aRSKdasWcNnPvMZbrzxxrnc7UmTSCQIBoPE43ECgVNTI58gldO49WvPMJLKY5gmec3AMMEwQRKsv8IppEcLgFn8f9ijUBdy45AEYjkNpyTicUhEfU5SeQ2HJLKuJcytK+t4ePcA6byOIgm8eU0D9SE3Q4kcP9nSQ0EzcCkSb1vfSMTr4OkDw2zpGgdgfrWPN66oA+A3O/vZP5AEYHVTiGsWlh/4yxHPqPzPS0fJFHQcssgda+qpDZ78QsDJ0tPTQ2Nj40mf0w/99xYe2jXAn71+IX947cx0kJPlyHCK6/7pKRySyI7P3ohLOXMP6wuJUz2fJ0JO1bn3ey/RMZLGMEzymo5TFonndBRRIF3Q0Azr3nMrIutaIqxuCrOsPsjV7RWs+ftHSeX10vb+/k1LeOfGeQB8/uc7+fbzR2fsc2GVmw9e2cInfrp3yvuiAH6XzF+9YQl3rmm4YA352Tif3aMZPvOLXWQKOomcSn3ITTKnYRgmQY/CUDzLrv4kxiw85SQBXIplcMmSiFkcjFsiHlY3hakNubltZR3ff76TV47GEATYMC/Ch69txymf2j0/li5w/0vd5FRr7LxrXQNV/nNzEjOX9+fxeLFjjOcOWaKhdSE327rH2dYdoy+WxeOQME2BqE9hNFUgnimQ100kATTDepbOFg5JwCWLaIZJTjWKC0gC86t9tEQ9bD0axzRNfE6ZqM+JphvIksiapjB/+vqF5+w9Ppfn9MWOMf7z6cMkcxp+l8wHr25jXcsxDZpkTuVTD+5kMJGjP5bD7RSJepy4HSIHBlPEsyqGCRU+BzUBF4trA/TFsrxwZJSCZiCKAppuTbQME/RTOOFeh4THIZHK66i6jmGAJAmIAjhliZBbQTdM4jkVwzCRJJEKr4LLIeNzygRcCvdeOY+NbTMN1796cAdPHhgGoLXSx3fvXjdFO2oumDifa/76ZxREJ4IgcO+V8/jY9QumtMvlciz/29+hFg9a1Kuw5dOnNmd/97de4JlDVhSiAPzHu1Zz47K6KW1+vaOXj9+/Hd0wEQWBP7hyHn928+IpbXb2jnHr154vvfY6RHZ//uYZ+5v/l79BLQ74sgiHvjDTqP2jH2/lt7sHMU0TtyLxm49dOcOQv/vbL/DkgWPRk7cuq+Jr71o/pc2evhhv/sbzqLqBIAjctLSar79z7Yz9ff6Xu9ndZ5UZvnphJR++Zua88vovP8nhkTQATkngpU9dT8A31ZD/5bZe/t8j+9ENE49D5rPX13DFqkU0fvx/EZ3H+n8hGfL/8Ju9/OjFo9b46VJ48EOXlV3wOx959uAw93z3JTTDRBAE3rwkxD+9+/KTGm/nfAn4yiuv5NFHH2VoaIhMJsOzzz57zhnws81jewcYSeUBUDXTmjAUHyC6eWoGPBybdJhYD7i+WI6xjEoyq5LKa4xnVA4MJtENk6yqM5jI88S+IdJF40LVTXb1xgHY3Z8oCa3lVJ19A9YAs707VtrfwcEUqbxGpqCVDHirjTUhOVH2DybJFKw+FDSD3b3nbs100zyWD79h3umJ2k0wr8JLdcBJQTfYWlwgsTm32NMfp6P4AM2qOomcTkEz0HSDRE6jOBfEBHKawYFB637Y1Rtnc+foFAMe4OtPHS79+79f7C67z/1DWf7qF/vLfpbMaezsiTGczJ/mL7uw+d3+ITIFHcMwSWRVDgwkMUyTvnjOej2UnhUDHqyxWzdMcppBOqdhmCaqZjCYyDOYzJMt6Dx9YJhDQynAGvP3DSTpGc+e8j739SfIqcfGzj195+7YeTbY1n1sPN3RE2P/gJUKZRgmsYxKOq9ZBnxWJa+ZYII6ywY8QEE3UXWTrGow8XhXdZOu0QwHBpLkNZ28ZpDKaxwZTpWehzt74wwlc7Pcm/OD5w6NkMxpgDXeTSzGTLCla5zhZJ68qpMuaIynVQzTZHdfgkTWOseqbjCSzJMp6Awl82zuGEMzTGucVo3SuT4VAx4gU9AZSxdQNR3dAANKEQE5VWMwkaOgG2QLOgXdBNOkL2aNPYXi+T5eedlnJ6XXHRlOsX8gdWqdPAWyqnXcTdPkl9v7Z3z+rU1HSwY8wFj61DWsJuZTYJ2LLz1ycEabbzx5GL04UBumyQNbe2e0+eQDu6a8TpeZSB8dyZQMeLAW6363Z2BGu6cPjpTmsFlV5zubOme0eebg1PTH3+4ZmtHma787hFqcHJimyVPFRZnJ9MeyJQMe4LnjXA+do+nSv/O6yX88e2RGm59t6ysdp0xB46FdM3/bhcZvdw+UzlUqp3L/S+XnU+cjX/vdQbTi+TRNk0f2DJ70Ni7eOK45pCniKYWhi2WO8GwcdEkUUCQBWRKQxGN/7kleXkUSqPBPXcnzF8PmAy552vtWmKZv0vsOWcQhWX9O5VivvU6p9PtOBJ9z6r58rjnN4jgtDg6lGEsXcCkiKxpCs7JNQRBKoU+b7Lz4c5Ko14lcvFklUUAQiveuIDA92lUUKEVTuB0SDeGZq8JVk+47z6uESdYeJ2TO8sYreJx21MarEfVapUsFAURBwOWQELDGPlEQcMiz6+EUBAERa18TOGQBZ/EiqfA5p4TPO2Vxxvh3MkwfK/3n8Nh5NvA5j6UXeJ0STllEkaxzM3EfK5KIJFj/BssbONsIgCBO3bgggCwJeJ0KomB5bwVBwCGLJc+7UxbxOC7OcxrxOo6dEwHCXseUz6v8TgTBOo+iQGl8dioSoihYxxxKcx+HJOJWpNIpEITTP9eiYP1NbG/qZwKSJBavM6G0L0USELD6JBR/Zzl8k8Z2WRSo8JdvN9dMTrGcYFVjcMqxO4np3gwmzx0BGkIzI4nqpkVmlhvnVta/tmeyqWJmWHx71czvTX4mC4JAa+XM7zmmPfidZdKiWqPeKa/dZaIs/S5lyjPheGP45GgcQYDFNTP7Xe4eudCZfryaIheGFx6gITT1uvOewlxh1p8e4XD4hA28sbGx1250HrKmOcJ7Njbzs1f6cDskol6FHT1xDKAx5KagG4ynCySmee8m8MiQ1Y55CxQRqv0O8rq1Yu2UBVY2BGmvDmCYkMgWyKoGjWE3zVEv+weTeBwSl7dXcEV7Bc97RjkykqY64GJ90bu8qjFMIqvRG8vSFPGwrDhAvnFFHU/uH0I3TC5vrygNPreuqOO5QyOIosA1CypP6ngsrvUzli7QOZqmJuBiXfPxc4LONpuL9eHXNodPO5d1Mhtbo/zfK708f8Q24s9FmqNePnxtG//z0lGckkRTxM3+wRRVhkHI7eDQkBWVIgrQVuXjpqW1hL0KVy2opDbo5t7Lm/jWc1bIfMAlcf+9l5S2ve1vXk/bp349wxv0sz9Yz6p5VVM+U0RwKBKXt1Vw++r6c14/4mxzy/IaeouejsW1ARrCbg4Pp1nbEsGliFy5oIJvP9tBMq8V9UOsiX1jxMV4WiOR02Z4ZZ2yYHltJyEAi6s9xHMG1QEnQbdM13iOkEthfUuI2rCHtkofV7RX4HaI/GJbP6IId65poDpw6uHvy+uDjGdUuscy1IfcrGo8d8fOs8HNy2r43b4h8prBhtYIG1sz/HRrD52jaaJeJ16HiCJL5DWDntE03bEcXqeEIkBfLIdqWovqkmgZ3IokIQmWBxYBJEFAFiGnmRiAXDQmC7pheV6x7ve6oBsdiLhkOsYypPI6FT4H793YgmaYPH9khHReoyHsYVVjmF29MUwE3r6+sawRdTFw+6p60gWNAwMpFtb4eNOqqXnQS+qC3LW2gacPjlATdOOWRRRF4p0bmnl83xDbu2O4HRLL6gK4FIkldQHuWtfA3/5qD6OpPC0VXlI5jYFErqRVMZZWMbFSorKq5UGt8jtI5TSyqoEsWgZervjZ0vogy+sDPLl/hFRexe+SLY+8aVIbdLGg2s+RkTSNYQ/jmQImcHlbBYosMJIq0F7l4841DWV//+duXcqXHjlAQTN416VNVAXOnHFy1fwqdg4XCHscfPVtK2Z8fsX8aq5oj7Lp8CiCAH94desp7+sHv7+Bt3/rBQqaQZXfwXfv2TCjzdd/byU3/esm+uNZgm6F/7533Yw2X3jLKh7eO8RoMSrgQ1e2lN3fzcuqeWiX5dG8sj1a1rD/17ev5qM/foVMQWNjWwXv2DBzW7/8yJXc+C9PldJgX/jzK2e0+bObF7O5c5zdfXFcisQ33zUzlN7nkvnIte3c/1I3siRwz+Xzyvb787ct5bO/2oNumGxsjfLGVTN1Af7q5sV86v920hfLsqopxB1rQvxR2a1dOPzTXSv5o/u3kcyqXN5ewR1rG892l2aNf3rbKvYOJOgYSeNzynzjbUtY89mT28as58R/73vfK/17dHSUv/u7v+P1r389GzduBOD555/n4Ycf5tOf/jSf+MQnZnPXp8Vs5sTbnBucSj7fH/5oK7/e0c+f3LCAj86iCF33WIYrv/QEsiiw/W9uPKUVt4uds5FzazN32OfzwsI+nxce9jm9sLDP54WFfT4vLE7FDp11S+K9731v6d933nknn//85/nIRz5Seu9jH/sY//Zv/8Zjjz12ThnxNjamaZY88RtOsz78dBojHhrCbnrGs7zUOXZSwoA2NjY2NjY2NjY2NjYTzGlO/MMPP8xNN9004/2bbrqJxx57bC53bWNz0hweTjOSKuCURVY2nl59+HJcZteLt7GxsbGxsbGxsbE5TebUiI9Go/z85z+f8f7Pf/5zotHZ9XTa2JwuLxS98GuawqdcEurVsMXtbGxsbGxsbGxsbGxOlzlNzP3c5z7Hvffey5NPPsmGDZaYxebNm/ntb3/Lf/3Xf83lrm1sTppSabnW2SktN52NRU/87r448YxK0HNxChrZ2NjY2NjY2NjY2Jw6c+qJv/vuu3nuuecIBAI8+OCDPPjggwQCAZ599lnuvvvuudy1jc1JYZpmyRN/6Sznw09QHXDRWunFMGFzh+2Nt7GxsbGxsbGxsbE5eeZcInvDhg388Ic/nOvd2NicFh0jaYaTeRyyyKrG0JztZ2NrlCPDaZ4/MsqNS2vmbD82NjY2NjY2NjY2Nhcmc27EG4bBoUOHGBoawjCMKZ9dddVVc717G5sTYiKUfnVjCJcy+/nwE1zWVsEPNx+1xe1sbGxsbGxsbGxsbE6JOTXiX3jhBd7xjnfQ1dXF9HL0giCg6/pc7t7G5oR5YY5Ky03n0mK+/b6BJKOpPFGfc073dz4zni7wYucYQ8k8t6+qO9vdsbGxsbGxsbGxsTknmNOc+A9+8IOsW7eOXbt2MTY2xvj4eOlvbGzspLbV0tLCwoULWbVqFatWreL+++8v2+6+++5j/vz5tLW18f73vx9VVWfjp9hcwFj14a3r8dJ5cyNqN0HU52RRjR+AF46c3D1wsaDqBl/67T42fPFx/uAHW/j0z3bRH8+d7W7Z2NjY2NjY2NjYnBPMqSf+4MGDPPDAA7S3t8/K9u6//35WrVp13M87Ojr49Kc/zdatW6muruZNb3oT//mf/8kf/uEfzsr+zyQ7emIMxHO0VHhZUO0/qe/u7InTH8/SFPWwqCYwRz08PiOpPNuOxnApEuvnzU25ttmkczTDQCKHQxJZ3RSe8/1d2hpl30CSTYdHeMOK2jnf3/lEtqBz7/df4rlDVmTE/CofrZVeFEmEWViPG0rm2NEdx+2QqA26ODSUIux1sLYpjCgKJ7ydg4NJOkbSVAdcrJxDDQWb8hwYTNI5kqYm6GJFQ6j0/umcF1U3eKlzjHReZ3l9kJqga3Y7bXNWMU2TV7pjjCTztFf5qA+7ebFjjLxqsKopRMUpRkUZhskr3eOMpgosqPbTUuGd5Z7bzDa7euP0xbI0Rjwsrp27OdJwMs/LXWN0jWRojnpY1xKh0m9H350vnMh10j2WYW9/gpDHwdrmMFKZeUQ8o/Jy1xiyJHJJSwS349yeE59LZAs6//jbvQwm8ty2so6bl9tz5snMqRG/YcMGDh06NGtG/GvxwAMPcNttt1FTYwmGffCDH+QLX/hCWSM+n8+Tz+dLrxOJxBnp44mwsyfO43uHANjdl0BZLTLvBCcGu3rjPLZ38Nh3JZG2St+c9XU6OVXngS09ZAtWqsRYpsBtK8/tUOiJ/PRVTaEzMrhe1hblu5s6ef6InRc/Gd0w+fj9r/DcoVG8Don/d9dKbl5WgyBYD8WenvHT2n62oPPTLb3kVJ1MQaMvlqO9yro38qrBFfMrTmg7XaNpfrWjH7DuMUFgiiFpM7d0jKT59eTjj8DyhuCM8wKclCH/u31D7Cl+78BgkvdsbMbvsstAXii83DXOswdHANjTnyDkVhjPWCuDh4dTvPeyllPSQ3mxc6z0DNnbn+TtlzRSHbAXgM5V9vYneHTP5DmSQHvVyTlKToSJudCOnhhj6QIRr4PO0Qx3X9ZiG3HnASdynYylC/zfK73ohpUunFN1rlpQOaWNphv8ZEs3yZwGwEA8y9vWN52BX3Bh8Jf/t5MXi9WcdvfFqQ26WHUGnG3nC3MaTv/Rj36UP/mTP+G73/0uW7ZsYceOHVP+Tpb3vOc9LF++nPe9730MDw/P+Pzo0aM0NzeXXre0tHD06NGy2/riF79IMBgs/TU2Np50f+aKgcTU0OHBxImHEg8lT/27s0E8q5YMeIDB8yAMesKY3jjH+fATbGiNIgpwZDh9xs/Pucw3nzrMw7sHcUgi3/n9S7hleW3JgJ8NYtkCOdW6NjMFnUTumGt/+j33agwm8lNeD5wH1/iFxPR7ZuLczTgvJ3lvTd5uQTMYT9upWBcSk+9T07QWgyaYPh6cDJOvG8M0GZp2HdqcW0wfFwbic3O+4lmVnKqTylvGWyqvkVN14ll7XDkfOJHrZDiZLxnw5b4DkFH1kgEPM59TNq9O1+ixcVo3THb0xM5eZ85B5tSIv/POO9m7dy/33HMP69evZ9WqVaxevbr0/5Ph6aefZseOHWzdupWKigre+973nlbfPvWpTxGPx0t/3d3dp7W92WRehaf0b1EQaI56XqX1VJqjXibsHuu7Zza0L+xxEPIc816d66GFpmmWvCiXtZ0ZIz7oVlhaFwSwVeqL7O6L88+PHQDg725fxiVzoE0Q8ToIuK1r0++SqZoU1jj5nnstmiKeKSFzJxolYzM7NEc9iMLk4+8pvX8652Vye59TtsNeLzAmn19FsqI3Jgh5FMIexyltt2XSM9YhizSE3afeSZs5Z96MOdKJj/0nQ9jjIOhWCBWfOSG3QtCtEPGe2nVmc2Y5keukNuTCqRwzo1rLPHN8jqnPknN9TnyusWLSOO2QJS5rO7GIyYuFOQ2n7+jomLVtNTVZ4SeKovDxj3+cBQsWlG1z+PDh0uvOzs7S96bjdDpxOs/NSVp7lZ8710gMJHI0RtzUBk98UtBW6ePONQ30x0/+u7OBQxZ567pG9vYncCkSS+Yw32w2ODSUYiSVxymLrGoKnbH9XtYWZWdvnE2HR7h9df0Z2++5iGGYfOrBnai6yY1LqrlrXcOc7McpS7xtvXVtuhUrJ/7wcJqwR2H+SehO1ARdvHVdI0fHMlQHnGd8oexipzbo5q3rG+gey1ITcNFUnFxVB07vvFzRXkHU6yRd0FhY47dDXi8wltUH8TgkRlIFWio8VHid7O5LkNd0ltQFLN2NU2BlYwivU2YsXaC10kvYNtLOaVoqvKU5Un3YTX1obuZIDlnkbesbWVYfoC+WozbkYlldEIc8p74zm1niRK6TgEvh99Y3cXAoRcijlNWvEkWBt6xtYHdfHFkUWVp3bs+JzzU+e9symiJeesYzvHl1Pe0nqRF2oTOnRvzk0PbTIZ1Oo6oqoVAIgB//+MdlPfl33nknV1xxBZ/97Geprq7mm9/8Jm9/+9tnpQ9nmqaopzQ5PVkaIx4aI3OzunwieJ0y61rmVuV9tpgIpV/XcmYF+C5ti/IfTx9hk+2J58FXetnRE8fnlPm7Ny+b1RD66ficMusnXZunWuKvJuiyhc/OIrXB8guUp3NeBEFgiT3BuqBprfTROilldbI3/nSY0NawOT84U3Mkr1PmknlnJsLPZvY5kesk7HW8ZuSgS5FY23x+zInPRe65Yt7Z7sI5y6wb8b/4xS+4+eabURSFX/ziF6/a9rbbbjuhbQ4ODnLnnXei6zqmadLa2sr3v/99AO69915uu+02brvtNlpbW/nc5z7H5ZdfDsA111zDH/zBH5zeD7K5oJkIZz9T+fATrG+JIIsCPeNZuscycz6hyBZ0njk4zNGxDAGXwsa26Fld6Jkgndf40m/3AfCR69qp8tuGsY2NjY2NjY2Njc2rMetG/O23387AwABVVVXcfvvtx20nCAK6rh/388m0trbyyiuvlP3sW9/61pTX73//+3n/+99/wv21uXgxDPOYqN0ZyoefwOeUWdEQZOvRGM8fHp0zg1o3TL67qZN/fuzAFHEVgDesqOUzb1xyVpWUv7upk6FknqaIh9+/vOWs9cPGxsbGxsbGxsbmfGHWk3MMw6Cqqqr07+P9nagBb2MzV+wdSBDLqHgc0lkpETYh0PHUgZmVFmaDdF7j3u+9xN/+ag/JnEZD2M0bV9SyviWMIMCvd/Rz69eeZXt3bE72fyL9+9YzRwD4xA3zz2g6g42NjY2NjY2Njc35ypzmxNvYnMtMGM8bW6OnLGp0OtywpJp/e+IQT+wfIqfqp1Sj+HhkCzrvum8zrxyN4VJEPvPGpbx9fSNiUb17T1+Cj9//CgcGU7zrvs38+P2Xsqx+dvJDT5T/fqGL8YxKS9TDrSvqzui+bWxsbGxsbGxsbM5XZt2I/9d//dcTbvuxj31stndvY3PCPLnfMuKvXlj5Gi3nhhUNQeqCLvriOZ4+MMyNS2tmZbuabvDRH2/llaMxQh6F79y9ntVN4SltltQFePDDl/P733mRlzrHufs7L/Hrj11xxkLrswWd/3za8sJ/5Lr5yGdhEcXGxsbGxsbGxsbmfGTWjfivfvWrJ9ROEATbiLc5ayRyKlu7xgG4ZkHVWemDIAi8flkN33muk9/uHpg1I/6rjx3gsb1DOGWR+967boYBP4HPKfPtu9dz1zefZ99Akj/84VZ+/IFLz0hUwg83dzGaLtAU8fCmVbYX3sbGxsbGxsbGxuZEmXUjfjZrw9vYzBWbDo2gGSatFd5TLuU3G9y8rJbvPNfJY3sGKWjGadeQfeHIKN948jAAX75r5WuWNfG7FL75rrXc+m/P8nLXOP/6+EH+5MaFp9WH1yKn6nzzKcsL/4fXtp2VVAYbGxsbGxsbGxub85U5nT0/8cQTc7l5G5tTZiKU/qoFZyeUfoK1zWEqfE4SOY1nDp6ewF08o/LH92/DNOGt6xq4deWJebhbKrz8wx0rAPjGk4fZ2RM/rX68Fj9+8SgjqTz1ITdvXt0wp/uysbGxsbGxsbGxudCYUyP+pptuoq2tjb/7u7+ju7t7LndlY3PCmKZZErW75izlw08giUIpnPx/Xz71e8Q0Tf7yZzvpi+doiXr4m1uXntT337CiljesqEU3TP70J9vJa3NTPcLywluRAh++tu20Iw9sbGxsbGxsbGxsLjbmVJ2+t7eXH/zgB3zve9/jc5/7HNdddx3ve9/7uP3223E4HHO563Me0zR5Yv8Qe/uT+FwST+8f5tBwmohHIZXXGE4WCLkVHLJAXyyHZpiouoEJOGWRvGpgnIV+SwKYJlP2LQAeRcTjEIhndQqG9V5DyMloRkPTdGRZxDQh6nOysTXMnv4UmJbx+M5Lm9k/kOTlrjHG0gWcskTU6+CmZTVUB1z8akcfD+8eIFcwcMgCY+kCed1gTWOYd17aTHuVD4AdPTGeOzSKQxa5adnx88t39sbpj+fwOCQubT2z9eHL8dZ1jdz3bAeP7x1iOJmn0u886W38dGsvv97RjywK/MvbV+N1nvyt/fnblvLC4VH2Dyb5xhOH+cQNC056G6/FT7b0MJjIUxNw8Za1p+aFf2T3AP/5/CsMJLIkczrmafRHFkF7lRsp4pH56zcs4Y61jaexF5tX4zc7+/jBlm0cHkojCmCYJqpuIoiwtjFMQTPY3hOf0/FOAFY0BKgNuhlJ5lEUifZKL9mCxqbDYyRzKqIgUBtyc3l7BX9x0yJ7Aeo4DCVy/PeWIbZ1x6j0O3nd4io2d4zx4xePEs9qpXaSCPoZfIhJAoQ8CjnNQNdNBAEEAQwDIl4Ht62q454r5uF3Kvxyey8vdIwxkswznMqTVw2aom4+cGUbl7VXnLlOXwT0x7M8tHOAnKazsTVKhc/Jw7sHGE7m0QwDWRQ5NJSkezxLOq/hdcjopkFBMzEMk9F0gdyrDeKngQCl54skgG4ee3/i2SEIIIsCheKHk9vVB518413r2Hp0nMFEjleOxuiNZZFFgSW1AUZSedwOmVuW1yAg8NyhEQ4MJSloBpIgEHDJzKv08oGrWplfHZjSN90w+e2uAV44MspousDKhiBvXFlHfcgNwMudYzy2d5DOkQxtlT5uWFpNhVWchiv/8XGShgNZFPjSncu5fc3M59vyv3mYZN66X5fW+vn1H101o831X36CwyMZABwSHPj7N8xo82+P7efLjx0CQBRg519fg9frndJm59E4t37j2dLrT9+ygPddNX/Gthb81W9Kx/maBVG+e8+lM9qs/tzDjBfHGa8isvtvb57R5t7vbOax/SOAdS47/mFmv3+46TB/9Yt9pdfffMcKblox8zi1ferXpfP9nksb+fztK2a0afnkr0v/VkQ4+IWZ+1v7+YcZzRwbHzvL9Omt33iGF48mSq+/9qZqAJb9zcOITs+rfvd8ZfKxgwvrtz366KO8//FC6bWRz5z0NuZ0FlJRUcEnPvEJtm3bxubNm1mwYAEf/vCHqaur42Mf+xjbt2+fy92f0xwZSbO9O05BM3hk1yCvHI2h6Qb7BpIcGUmjGwY94xkODaXJqro18TDBMCF7lgx4sB5O0/dtAmnVYDhtGfAT73XH8hQ0671MwaCgGQzGc/xqxwCxTIFYtsBj+wZ5aGc/zx0aIZFV2dkTZ19/gnhW5dE9g+zpS/DU/mFGUwU6R9Ns6RqnYyTNSDLPtu4YP9/Wi2GYpPIav9tnlWpLZFUe2T1w3N/w0C7rs2sXVs1qWbdTZWGNn5WNITTD5P9e6Tnp73eNpvmbn+8C4BM3LGBlY+iU+hH1OfncmywP/jeePMSBweQpbed4FDSDf3/Ceph/6Jq2U64L/5OXu+mLZUicpgEPr27AA4xlNL78yIHT3IvNq/HAy70cHk5T0A0yqkFOM9FN0HR4sXOcHb1za8CDNV7t7EmwvSdG11iG0VSeJ/YP88xBa4KcLuik8ho94xm2do3zi229c9yj85cn9g+xszdOPKtyaCjFA1t7+fkrvVMMeDizBjxYz67RtEo6r5PXDLKqUXouDSXzPHNgmEd2D7C5Y5RdvQm6RzPsHUjSPZZhPFPgyHCan2zpYTSVP7Mdv8B5dM8g8axKXjV46sAwP9/WSzKnsbsvzu7eBJuPjPJKd4yRVJ7hZJ7eWJbusWxpgWWuDHhgyvNFN6e+rxrW/w2TkmE5vV1vPM9f/2wnsYzKy53j7OlLEM+ojKYLPLl/iN5YjnRe4zvPdrKla4w9/XF6xrMMJ/McHcvQPZ6lazTDjzYfxTCmPu129cbZ1RvnwGCS0VSevf2J0rxnNJXnmYMj7OtPMp4psG8gwZP7h0pG+XhGK/X707/YM+N3/8eTB0ttAXb3l58LTBjwAAUdPveznTPafOXxQ6V/Gybc9LUXZrS545vPTnn9t7+Z+cx933c3TznOTx4YndEmHo+XDHiw5qUvdsxMU5ww4ME6hzf+05Mz2kw24AE+9KMdM9q87stPTDnf339hZjTlXz6wdcpr9TiX62QDHuBN//rUjDaTDXiAD/1gd/mNXcBMN+rPZyYb8KfKGXMlrFmzhk996lN85CMfIZVK8e1vf5u1a9dy5ZVXsnv3xXchqpNmMIWihx0sL/fEi0n/vGAwMTHNY79K001yqhW6PfGM0ov/UHWDgm6gF9ubpolhmqVjYnnsDAzTRNMNJm2WwnEe7KZprV4DvP5VvPVnmrevt1Z4v7epa8q18VqousEf/c820gWdS+ZF+ODVbafVjzcsr+V1i6tRdZM/f2BH6VzMBg9u7aEvnqPS7+Rt60/ds63O4aSt7P7OtLVxkWGY5pR7dzpnagw0sbyyUBxrDLM49pgT/2Ga1mcTY5bNTFTdmDJuqJqONovjyFxgYqIZBnnNigLRi88Zc9K1aZjWs0nVz+3fcr4x+VltmpArWjmGaY0NmlG8/ybmRRPzAc6P+VG2+Hs03aA4AwJzYh5k/V8vzmXM4iAz8Rsn5jsF3Zr7TGZi7jOBYZqlYzlxjU7MnXTDuo61Ms9Ovcz13BvLntJv7YvP/N70sT1bJlXvRIaHsZT6mm3iZZp0j762dzORe+1tl+tiuqCVeXcqg4lTW/QbTp++gWdz4TPnRryqqjzwwAPccsstNDc38/DDD/Nv//ZvDA4OcujQIZqbm7nrrrvmuhvnHG2VvlLY0yWtEWqDVn3uSr+ToNsKhfY7JcIeBVkSkIphUELx71xDkQTc0tS+uRUQBQEBK8RMEgW8Tpll9UEcsogiiaxsCHHj0moWVPtxKxI1QReNEQ+iIHB5ewVL6wIsrQ3gkEWiXidNES8VXicuRaIp4ua6RdXIkkjI42BFQxCw9nnF/PIhjweHUnSMpHFIItctOjul5crx5tX1VPgc9May/HJ73wl/76uPHmBbd4yAS+arb1uFJJ7e1SEIAn97+1J8Tplt3TG+/3znaW1vAlU3+PqT1or8H1zVeloRENcsqsTnUuY2F6iIWxa4c40tvjeXbGyLUul3IAoCimiFXApYYap1QRd1IdcZ6Udt0EVL1IPfJeN3KSyo8TO/yhqXFAkckkDYq1AXcnPLcrss4vG4tDVKU8SDJApU+Bxcs6CSdS0RnNLZf3J5HCKyaIVCS4L1f1G0ym0urQtx9YJK1jaHaQx7CHkUagIuQh4FlyJR4XNw5fwKqgMnn+5kc3yumF9Rem4trQtw07IaREGgKeKhNuRmcW2A+rAbr0PG7ZAJex3Fe1TCo8jn5HxoAo8i8vHrWpFEgSV1ASr8TtyKhFOWWFwXxO9UkCWRaxdVMr/KT13Ijd+t4HPJBNwKUa+DgFvhDctrkadVcVlaF6Q+7KY64MIhidSF3KV5T3XAycIav3UfCgKNEQ/L6oOEvVYaq1K8F0UB3nHJzAX1z9++gslTCb+r/NPWMtB56QABAABJREFUrUzt03+895IZba5ZOHUu9rW3r5rR5i9vnpq6d+38mWmOP7h71ZRzXV/mudBUEWTyMCMAd65rntGuPjT1Hn7ggxtmtHnD0qnzw7etrZ3Zp3s2Tnm9oj4wo81909ocj+nG2KZP3TCjjW9aFvJb18zs04XOW1bPPMbnK42zUBhLMM1X84GcHh/96Ef58Y9/jGmavPvd7+bee+9l2bJlU9oMDAxQV1eHYZxdb1cikSAYDBKPxwkEzsxFYhgmiZyK2yFhGHBoKElDyIMii+zoGWdBjR+nKLC9J0Gl30GmoNE5mmFtc5RsQeWZg8Ncv+j/s/feYXac5d3/Z8rpbXuvWvXeZcu9gHED22BMtQ0EfoGUl1BCCfV9CQkJkBB6CZAACRg3DAbcLVfJstW7drWr7e30PvX3x+we7Wp3ZZVdSSvN57p8WeecOTOz55l55rmf576/3yp2dcfYemSYG5dVEcto7OyJccuyCp46MEzrYJp7N9TQGlbZ3RPnbevqea19mN54jr++bgEvtg4RTSusayzmqQMDlHpdbJhbxvOHhnFKBrXFfrZ1RnBKApfNq2AooVDmcxLL5UnmNFTNZE65D1OAioAbQYQ/7OxleW0RKxtK2N0VxekQKfE6aQ9nWFAVoNTnpDuaxSELlAfcuGQJ0zRJZDVcDpG8ZuCURDxOK9DTDdNKYRTA65BI5jV0w6TI68R/XO13PKvikAS8Tpnu7m7q6+vHtem3njzMvz15iOsWVvCf9647K+18snz3mVb+9bGDtJT7+PNHr3xd67WX2oZ590+2YJrwvXev5qZl09eh/3LzUT738B68TonH/+5K6orPrLe5b2sXf//ALkp9Tl741LWFtj0VRtszGo2RExz0xnKU+Bw8tW8IjyzwSucwe7qjeBxOeobS5IH/d/Mc/nAwQblbxO10oBsqf9o7zPJaHz+893IGEznuf7WTcDpD22CWT1zXhI7Ms60RFlUGWVQbomVEc8Fmehl7fyYNmcF4DsUwaCzxsP1ojFK/i+X1xWTyOocGEvRE0njcEt3hDHt7YoRTOSQBsrrA2no/LpeLF1sj3LiijETKBFFgXqmLVztTiBL0RtJ0RbKUeUyW1FXQUOrl4EASv8fJ9QurqC72IAgCkigQTSvUFnvRDIOeSJacpuN3SgiiQE2R166Hn4Sx7elw+0jlNByyQNDtwDRN2oZSdAynGUzkQDJZ21hGKqvw++3dtA+naanwUubzYpom0azC7t4YFT4HPreLVE4h5JEI+LxcNq+UeErl1aMRFlQEWFAbIppSGEzkyCoaOVXDKUvkNQNRhAq/C6dDprHMhyiIVARc7OtL0FTmJavoJHMa1SEPFUF3YXJR1Q0SWWt1TjMM0nmNoNtJ2WnolcxmJnuGzgRZRUfRDUIeBwAZRUPVTWRRQDdNRGAwmccliSiGQZHbwXBawSWLOCWR3+/qwTQNFlSGeGxvL13DaW5ZVs7RqEYqr7BuTikeh4Pf7+qhKuhhXkUAMBlIKayo8fPC4WH6k3netrqBdDbHprYIb1xUAZJEJJVHEkXmVwYYSuZoG06yoDxAZZGPtsEkmm6yvrmILe0RJFFiTrmffT1R8rrJjUsqCfrc1t+nGcgiHA1nKPY58bpkVF0nqxrUF3tRNINUXkUZKfXwuyQUzSDgdhAc+V2ORzdMElkVwzTxOCW8zuPGQxkV3TSQRJGQx1Foz66eQZ49mmJVfQlLRhY/JuP//n4X9cU+3nf51Bl+337yIJ3RNP965+opt9l0YIBnDw7y4avmUFHkm3Sb3Z1xvvnEfu65tJ6rF9dOuk0qleJfnjzC8toQb1s3MTgf5cu/24Wimvzj21ZMuc19r3Tw/KFh/vHN86e8tl84PMC3nzzM31w/j8vnVU55Tl/9cyvXLqrk+iVTj8Fu/85zlHgdJwzqv/DgDvb1Jbn/r66Ycptv/GkP92/r5YtvXMLSarNwfy7/6vPAhVUzPsraLzzKsAK/uDnIFVdM/dvMRv7lj0/wvecU6r3w6EevOOU4dEaD+Ouuu44PfvCD3H777bhckz/8NE3jxRdf5Kqrrpqp0zgpzkUQbzOzHD8AMU2Ta7+xifbhNF+/c8VpC6vNFImcylX/8gzRjMoXblnM+y9vnnLbrkiG2777IuG0wjvW1fPPb50opnImGIbJO360mVc6Ilw5v5z/et86BOH01jxyqs7V//os/Ykcn71pIR+68vRS/s/WgNLm7GC354WF3Z4XHnabXljY7XlhYbfnhcXpxKEzupxw3XXXkclkJgTwP/3pT/na174GgCzL5zyAt7k42NZpieJ5nRI3nkf18KME3Q4+ecNCAL75xCGOhtOTbhfLKPzFf71KOK2wuDrIF25dPO3nIooC//TWZThlkecODfHQ9tMX8vrpi+30J3LUFnm4+9Km6TtJGxsbGxsbGxsbm4uQGQ3if/SjH7Fw4cIJ7y9ZsoQf/OAHM3loG5sJ3P+aFYi+aWnVaVmwnQ3uWlfPuqZiUnmN/+8XrxE9TtxkMJHjXT/ewsGBJOUBFz+5Z+2EFLrpoqXcz/+5zrJ5+b9/2MfwaagyD6fyfP8Zyxf+EzfMPy/cAGxsbGxsbGxsbGxmMzMaxPf391NdPbFGpLy8nL6+vpk8tI3NOHKqzh9GBOPOtzT6sUiiwLffuZoyv4sD/Unu+P5LPL63nyNDKX65+Sg3fut59vUlKPM7+eUHNlAzIo44U3zoyjksrAoQy6h8+fcTrWhej6/8YR/JvMaSmiBvWTF5nZuNjY2NjY2NjY2Nzckzo0F8fX09L7744oT3X3zxRWpqbHVfm7PHIzt6SeY1aos8XNI8Ufn0fKIq5ObXH9pAVdBN+3CaD/3iNa79xiY+9/AewmmFRdVBfvuXG1lQFZjxc3FIIv/yNkup9vc7e3lq/8BJf3fToSEe3tGLKMBXb1+GeIbK+TY2NjY2NjY2NjY2MxzEf/CDH+SjH/0oP/vZzzh69ChHjx7lpz/9KX/3d3/HBz/4wZk8tI1NAdM0+emL7QDcs7FxVgSTcysCPPbRK/ngFc3UFXvwOCQWVwf54q2LeegjG2kum1zhdSZYXlfEB0ZE9j794O6T8pAdTOb4xG93AnD3pU2sqC+ayVO0sbGxsbGxsbGxuWiY0cLgT37yk4TDYT7ykY+gKFZtr9vt5lOf+hSf+cxnZvLQNjYFXmmPcKA/icchcdfahnN9OidNyOvgH25ezD/cPP3CdafKx96wgOcPD3OgP8n7f7aV3374UoLuyW1vcqrO3/zPdoaSeRZUBvjUmybqYtjY2NjY2NjY2NjYnB7TvhL/3HPPoWkaAIIg8LWvfY2hoSFeeOEF/vM//5NIJMIXvvCF6T6sjc2U/GLzUcCqhQ95Jw88bU6Mxynxn/euozzg4uBAknf8cLPl93wcGUXjI7/axpb2CD6nxHffvfq0POFtbGxsbGxsbGxsbCZn2oP4a665hkgkMu49v9/P/Pnz+cAHPjClX7yNzUzx9rX1XD63jHsvazrXpzKrqS3y8F/vW0+Z38m+vgQ3fut5fv1KJ6m8hqobPHNgkLd850WePjCISxb5yT3rmFvhP9enbWNjY2NjY2NjY3NBMe3p9KZpIggTa47D4TA+39mr450N5FSd/niOkMeB2yHRn8hR4nVOWC02TZPuaBZRFKg9To08kVMJpxQqAq7z1jbtXHPl/HJuWdtyrk/jgmBxTZAHPryRD/33axwcSPLpB3fzmYd2IwCGaW1T5nfxg/esZm1TyYydx5b2MF2RDG9YXElG0VE1k7piz6zQO7A5d8QzKpGMQlXQjccpkVV0+hM5ZFFAM8zC+4XtsyqRtEJl0DVjVo42ExlK5skolhCpLB1baxj7zHTIIkPJPOUBF/4pnn2GYdITyyJLAtWhmXXysJl+emNZdMPq28eOKwcTWZ47PMzccj8rG4rP4Rna9MdzKJpxwudvLKMQy6hUhdznjc3scCpPKqdRU+TBKc+oPFhhDC+Jwow7CtnMLjqGU/xxdz8r60MsrTj1Re5pG5XccccdgJVCf++9945bcdd1nV27drFx48bpOtysJ6vo/HprJ7GMim6Y6IaBU5aQRYHbVtVSX+ItbPvY3gH29yUAWFEf4tqFlQAMJHLc/1o3imbgcUrctbaeYp/znPw9NhcPjaU+fv83l/Pzl9r55eZOOiMZTKDE5+S2lbX89bVzKZnB6/DHz7fx0J4opmnyvWfaeMPiStwOiTnlPt68ombSSUQbm65Ihoe396AZJn6XzC3Lq/nDrj5641kO9SeZXxmgusjNO9Y3EHQ76I1leXBbN6pu4nVKvGNdg12OcxbY1R3j6QODmKbl1HHnmjpkSRz3zMxrOqputaPLIXLnmnrKA+MHQKZp8ofdfbQNpgBY11TC5fPKzsWfZHMaPH94iFc7ogDMrfBzy/JqBEGgJ5rlAz/fSjKvIgoCf33NXO5aP3u0bi4kNh8J83JbGICmMi9vWVE7IZBvH07z+5296IZJ0OPgnevrz/mE6L7eBI/v68c0oSzg4q619TMayD+6u4/DA1Y/tLapmCvmlc/YsWxmD/t649zz01fIqTqiKPCB9ZWnvI9pu2pDoRChUAjTNAkEAoXXoVCIqqoqPvShD/HLX/5yug4362kfThPLqAAMJXMcGU4DoBkmu3vihe1yql4I4AF2dcfRR5Y89/bGUTQDsCYFDg4kz9bp21zkOGWRD13ZwnN/fw3bPv8GXvmH63j1H67nC7cuntEAHuDpfUOYpnUPDKfyHBm2Ho5HhtLEs+qMHttm9rKnJ4420nem8hrPHhoildcYTOTRDJPBZI50XufwSD+6tzeBqlvbZxSdQ4N2/3o22NkVY+T2pj+eoy9uaW+MfWb2x3N0RzMA5FWDA/2JCftJ5LRCAA+woys6w2duM53s6IwV/t06mCKZt7SWfrezm2Teug4M0+T3u/rOxenZADu6YoV/dwxniGaUCdvs6o4VxqyJrMqRofTZOr0p2dl9rI8ZTuZPynHndEnm1EIAD+Ova5uLm1+83EFO1QEra+x0+rJpmw772c9+BkBTUxOf+MQn7NT51yHgPvbTO2UJp6QXXo9NDXRIIm6HVGhon1NGGpnp9LvGrwpNlVJoYzOTzHTQfjwBr0wsaT2BRUEgMKKS75CE8yZVz+b8I3Ccm0JFwEl/PIdrZAVmdCVmtF89vj+1+9ezg98tM5yyggFREAq/+9hnpkuWCoEBTN42boeIUxYLE912+80uAm6Z6MikjVMWC/dpbcg7brtiOzvmnBFwy2QVa2wqi8KkIrbHu9icD/dhwC3TP7JWJgjgc83cuMElS+P7Ife5//ttzg9qi8b3ZUWeUx9LT/vV9MUvfnG6d3lW0HWrI+ru7iYYDM748QRgQSBP61CaeX4nvhKJnliEEr+Leqeb7u7uwrbryk1eaY8iILC2rrTwWaVkUi2nGUzmqS32EDISdHfbq0WjdHV1AdDZ2UlRUdG5PRmbM2a0Pd+33M+PtgyQyKpcPaeEBr+KmouyurGY4QF7VWa2cLbvzzqnQYeUJpLK01jiY0FAI+XJgyuL25un3AXNbgmfFqe7O061bFAlpRlK5akv9uLX4nR3T1zxtbGYrvZcFNSIDCZIKxrLakOko4Oko6PPTIXWoRSLQg6ckshwKkJVyE0pKbq7J67wrSkzeLUjiiwKrG4oG/dctXl9zuUzdFWpycuxGJphsraphKF+q29fUw6X14hs64hSGnDygVWNdrueJNPdniuKDV4Kx8nrBqsbiogM9hM5bptGt063kCKaUZhT7kPORenuPrdZMfP9GoP9SVJ5lSXVQZT4MN3x1//e6bKuzGRrRxRJFFhdP339kD3Gnd3ctsDDK3sN9vUlKPY6+Ov1c7ifY/HoySCYo3mp08TAwACf+MQneOqppxgcHOT43Z/KyZ1Ntm7dyvr168/1adjY2NjY2NjY2NjY2NhcZLzyyiusW7fupLad9pX4e++9l87OTj7/+c9TXV09a0Sm5s6dC1gzWydaiVc0gx8/d2Tce39xZTP7exN88v6dhfccksgf/8+VM3OyNidFd3c3S5Ysed02tTk/ueJrT6HqRuH132wo5SN3XGO35wWCfX/ODnZ2RXnhsCVeteVImCPDqULa7JxyPz9871pg9rfnE/v6OdR/rHb10pYSVjfOnMPGqfK/rxwlklLpGE4xlFJYUBUg6HawvrmEdc0nf56pvMZ/vdhReC0I8OGrWyYdq52oTVXd4EebJo6FXLLEb17t5E+7+gvvL6kN8skbFgLwy80dxDNa4bPbVtVQWzw+rdRmZhhtzzWf/l8kl/WbN5T4+M97Ty5gOB0e3dVLx3Cm8PrqBeUsqQ3N2PEuJkbbc/5H/7vQnqIg8NJnrj/HZ2ZzOiQSCerr6wvx6Mkw7UH8Cy+8wPPPP8/KlSune9cziiRZg5JgMPi6A5CWunJ6opYQhs8lsak9TV41cXsDxLMqggAtVYFZOZC5kBj9/U+mTW3OP6rKSjgylMbEUqG+ZGEdcGrt+dyhIf79yUN0RjIsryvikzcsYFG1fS2cD9j35/nNL1/uYHtXjIBbxufyIssic+tE+rICsmQFfJcvrh/XjqP/n43tuaQJOpNW4CmJAosbqwgG3ef2pEboimToTgkMJg1CRSESRoZQKIjXKbO4qZJgcKJtVTKn8uzBIbKqzprGYlrK/QAETJPG6hQDCUswsLnMRyg0eVA1WZvu6YmztzdOyOOkrCREKm9lV4Y8DsqKixAEgcsW1fNsW6ogJHnpgmPXSXNNOY/s6EXVDeZW+GmuKbe1TM4ShfvS4SEvuBAFgSVNlTN6v86r03ips4OsqlMZdLOwoZKg7aI0LYy2m9vrJ21a7hy1xe5Z2f/aHGM0Hj0Zpj2Ir6+vn5BCf6Fx28pa9vbG0XSDLe1RuiIZNMOgMuTC75ZwSiLXLKw416dpYzOrmVvhYziVRzdM6ku8BUHHk+WB17r5xP07Cyq0Tx8Y5OW2MD+9dx2XtpTOwBnb2FwYPHtwcJxS7tLaIKtrQ2xsKeW2lbU8fXCQBZWBC8raa2FVELcsMZjM01jqpeI8CeBzqs4jO3sJeWSSOQlJFPjo9fMRBIGGEi9VocnP87G9A3RFrBXQgXiOey9rIuB2IAgCd6yuZW9vAkkUWFpz8gP+gUSOJ/cPYJrQG8vRVOajodQacG5oLims5i+uDvEPNy9ia0eUOeW+cZZaWUWj2OtE0Q0kUSCvGXYQf5ZZ21BEZ1og5HFw+dyZtTtL5TWKvE5cio7XKZHMabYV8jTTUOylK22tws8bmayzuTiY9iD+3//93/n0pz/ND3/4Q5qamqZ79+eMRE7lpdYwumGyoCpAfzxHTtVJ5lTcDglVNxERuG5hJYIgEE4p/H5nLx6HxGVzyyZV7bSxsZmacFrFMMEE8ppOJD3RvmYqDvQn+MyDuzFNePvaOt6+tp5vPXWY5w8P8+Ffvcajf3sFtUUTV69sbC5kFM3gv15upyuSZX1TCbesqAEse5st7REGkzlayv0FW7dRREHg5uXVhdeXz78wfY6bynw0lZ1fzjpZRUfRDNJ5nbxmBb4r6osmDXzDqTxb2iOIghW4j6IZJum8XnBoyCg6A4kcAtBU6qXIe3JBVSKrMnaNRtUNblhSO+m2hglFXgeyKGIYZsE/PJxWSeVVVN0knZd4uW2YvGZQX+JldUPxSf4qNmdCwOukwe3E45CIZ0/+uXo86bzGi63DKLrB2saSSSeUohmVdF4jo+q4HCKJnG0DO91kNR0TCROIZOzf92Ji2oP4u+66i0wmQ0tLC16vF4djvL1EJHK8duXs4Hc7ehlO5gF4aHs3i6qDiILAYDJPQ4kHtyyypDaEIAioukE4rdA64lGbymvctmryB52Njc3k9ESzpEe8gXtjOXwnuVpjmiaffXA3im5w7cIKvvbW5QiCwI/vXsvbf/gyu7rjfPF3e/nJPWtn8vRtbM47fvFyB0/uGwTgYH+S8oCLDXNK2doRYfMRq+79yFCay+aW4nVKZBQdSRS4ZoGdWXauKPI6qAi4eKU9jGGC2+HhiX0D3DoyATOKYZg8tL2HZM7qM5M5tRC0V4fclAesdFvTNHlwW3dhu/5Ejvdd1nxS51Jf4qXI6yCWscoGl01R23w0nOaJfQOAdT1JosD6kbr9dF5jIGGNpSJpBZcs4nbIHBlK43FIdrnTWaArksV0QAxQtNPPnH10d1+htLQzkuH9lzVPmFxSNYPeWBYTyOS1gpWnzfTRF8+hitYESu8Met7bnH/MyEr8hYZpmkRGfGt1wySZ09B0A6csUV/s4eZlNbgdErXFHo6G08QyKpsODRW+P5zKn6tTt7GZtThlkaDbgYGJSxLpjeVe/0tYafPbOmO4HSL/dMeyQoqn2yHx9TtXcNO3nufJ/QM8e3CQq+3gxOYiove4FfaOcJoNc0onZLlIosjX3rqc3T1xmsp8hXpqm7OPIAhcPq+MgwNJJEEg6HEQnmRMkdeMQmAOEHA7eNuaOhTdoGFMOdLx28UyKppuIEuvH1y5HRLvXN9AdzRL0CNTEZg8lX84Nf56Gnu+RR4HS2qCqLpJLKug6iajVuLh1OmvCtucPIurg6iSG7dDxO08/aB6bL+RVw1SeW1CEO9yiCyrC5FTDQJumbxqHL8bmzPE65DQHTIigj1JcpEx7UH8PffcM927POcIgsD8Sj8H+pNIosCccl/hRplT7md+VaCw7ZxyP6pusKc3Xnggza8MTLpfGxubqVlaG+LVDitzp9TnYmH1yd1H332mFYB7NjZReVxd6/zKAPdsbOI/X2jn3588zFXzy2eNg4aNzZmyobmEvb1xTNOaJFvfZK2Ozqv0c3AgWXi/ucxHic/JdedJXfjFTnXIw5wyH9GRVNnJxhQep0RDiZfOkTr4uRV+6ksmqr67HRKNpV6Ohq3t5pT7TiqAH/v9uRUnntRpLvOx+UgYRTMQBOv6GmV+ZaDwd5T6HJhY/a8kCrRUnF+lDBcqAY8MDquEYl7F6Y9P51f62dllGaxXBF0UT1KWMa8iwJGhNF6nde00lNpOBNNNVchDRLUmTxZW2ZksFxPTHsQDtLW18bOf/Yy2tja+9a1vUVFRwZ/+9CcaGhpYsmTJKe3rZz/7Ge9///t56KGHuO222xgcHOTuu++mra0Nl8vF9773Pa680rJyO9FnZ8oNS6qYU+5HMwxayv20D6cxTVhQNbEDdEgib19bT+tg6qQeeDY2NhP55p3L+dWWTuJZjXdtaCAbG3rd7+zrTbCtM4YsCnzg8slTRP/yqhZ+teUoO7piPH94mCsv0PpeG5vjeeOSKkr9LjqGU6xtKqGx1Aqa5lYEePtameFUnvpiry08dZ7hlEXuWtdA62AKr0uaMjPiLStrODSQQhRh/gmCszevsLYThJlZZCjxOXnX+ga6ohnKAy6qQ8f0RzbOLaMy5CaT15lb4SeZV+mP56gOeQop/zYzy9vW1BNVJYq9zkknek6WaxZUUF/sJa8ZzKv0Tyo+u7gmSNAjE0krNJb4CHkck+zJ5kz43ntW88i+KB6HzD2XXjhiozavz7TnXWzatIlly5axZcsWHnzwQVIpqy58586dfPGLXzylfXV0dPDjH/+YSy65pPDepz/9aS655BIOHz7Mz372M971rnehqurrfnamiKJAZdBFVdCN2yFRGXRTFXIjiQJP7evnpVYrwDg0kKQrnMEli1QG3fjdEt3hNM8dGqR1IDkt52JjczEgSRIHB+JsaR/GaZ5cmuX/vHIUsCbdpkr1LA+4eMc660H385c6puVcbWxOh3AqzwuHhyZNjx6LbpgMJnIMJnLs640TzyhEUwovHB5iMJFF0QwGE5bY6lhSOa2w/ShrGot565r6QgA/Sk2Rh+V1RacUwGu6ddysor/+xhcpqj5525wMkbRCOJVnKJknnlWoDLoo8Tk5Gk5zNJxkV3eU4dSxEglZEllcE6Qq6CaSUchrOoOJHHnt2LEVzSCSVphT7qO5zEc4lUfVj6U4DyXzxE9THGs4ZV2fimZQ7HOyvK5oXAA/ypwyH1UhN6ph4HFIyKKA2yGSy2n8YVcPLx4aYjiV52g4zaGTGDeFU3mipyB8erHjc0pUBd2U+k98r29pD7OvJz7l54Ig4HZa7eeSp9asyasGR8NpTPPM+gnTNBlM5khOgzjeQCLHvr44mjb70/tDHidb2yMc7I+fkj2Zzexn2lfiP/3pT/OVr3yFj33sYwQCx2Z4r732Wr7zne+c9H4Mw+Av/uIv+Pa3v83HP/7xwvv33Xcfra1Wuuy6deuoqalh06ZNXH/99Sf87EzZ2hHhhcPDADgkAVW3xEAe39tPd9RKSysLuKgIuBFgJOVe4mBfgrbhNIqm43fJfOjKOdy98eREZGxsLmYWfe6PZEdEd5b943P8+d6WE26f13R+t70XgHdtOPFs9N2XNvLzlzp45uAgXZHMGa1G2NicDvt64vztr3eQVTW8Tplv3bWSxZMIhWm6wYPbetjfn+C5Q0P4XDIeh8RAIoeqGzglkasXVBD0OPA6Jd62po5Sv4vBRI7PP7yHWFbF45T47E2LpnXVNafq/PbVLoZTCk5Z5NLKadv1BUNW0fnN1k6iGcvF5q2ra0/auu7F1mFeaQ9zsD+JYY5YdXkcxHMqeU2nO5ItaPH83fXzWTtSGvFqR4TnDw+T13SiaYWqkAe/S+bOtXVIosB9r3aTyKoYpomJiSSIlPicvH1tPZsODbK/L4kgwNULKig7hUqjzW1hvvPMYVTdpKbIwz/evhSvc+IQ0zRNHt3dx+GBFImsyp7eOKIg4HOKtA6mLVtRE6qCLpyyRInPybqmEj5xw4JJj/vswUG2d8YA2NhSyoY5tn3o6/HA9m5SuhOnLPKWlTXUFU98/n3ov19lb28cQRB4y8oaPnnDwgnb3P9qF/dv68Y0YXldiH+4efGEbf5nSyf/8tgBdN0g4HbwwIc3Un0azjCGYfLIzl7ah9OIgsCbllZNmgl7Mjx7cJAfP3cEzTBpLPXylduWzepa8qVffAzRZbXhQ9t7OfSPN53jM7I5W0z7Vbt7925uv/32Ce9XVFQwPDx80vv55je/yWWXXcaaNWsK74XDYVRVpaqqqvBeU1MTnZ2dJ/xsMvL5PIlEYtx/U2GaJpvbLOVewzB5/vCwpUCfytM2lMI0TQzTpDOSRdctG5gXWsO0DibpS2SJZRR0w0TRDX77WvdJ/wY2Nhcz2eNUcz//h8Mn3P6Fw8Mk8xpVQTeXvs5Abk65nyvmlWGa8MstR8/4XG1sTpWfv9xBVrUExjKKxn+/PPl1eDSSoSeWpW0wVbA1bR9OF1bvk3mNl9qGR/ajs7M7BsCf9/YTTitkVZ1kVuWRHb3Tev6HB1IFATNFM9h1ghW7i5X9/YlC/XdO1XmhdZi2oRQZRTvh9zTdYGtHhFReJ5pRaR1MoeoGBweS9MdzDMTzpPMaWVUnnlF5ZOexth11GRhM5OkIZ1A0S3BsZ3ecvb0JElnrfI4MpegKW0rWkbTC1o4I+/usVW/TPLaf48lrOkeGUhMEex/Z2VNY3OiNZXn+0OTjvaFUnsMDVobmwYFkQam+bShNfyKHZpiYpkl3NEtG0Qq/Rd8kqts5VS8E8NbfHsE0T19t/WKhP5YjmlGIZxReOxqd8Pnu7hh7e6372TRN/ri7f9L9PLq7r2A5uKs7TttQasI2//1yB/pIpkcyp/L9Ta2ndc59iRztw2kADNNkS/vk1+fJ8MiOXjTDOvGj4cwZ7et8Q9Ht6/9iYtqD+KKiIvr6+ia8v337dmprT85mbc+ePTzwwAN87nOfm+7TK/BP//RPhEKhwn/19fVTbisIAi6HOPJvq+ZdFCyRjmOiWAICVgqwIFgPl/5EnmROK3RyAuCZZGbaxsbm9WkuO/Fq+aO7rX7nTUurCp7EJ+LdGxoBeHBbD5o++1PqbGYXAbd8wtejjKo9OyXrmhYFAVkUEEeePQLgGrOKNLq9KAgMJHKEU3kGErlpD27cjvHDB/csXsmaKdxjUozjWZUXDw/zyI5efrW584QpwaIg4JBE5JF+TJas8YU19hAK7wsj2/rGjCtG05plybpGRrtCj0MapxwuSyKydKyf9LvkwjU1uv3x5FSdX7/Sxe929PLLzUc50H9s8cPrGn/9TlX77JKtMRKAc2QsxcjfNvo3gTXWEhAQBAFJFPA6J56PJAo4xvwNLodoC5WeBHt7ExzsT7KrO040PfE6LPI6xv2Orinubc+YNhEFAb9rYh92fLuVeE9P98Ati4xtWvcJ0vdfj+PPya7Tt5mtTPtT9x3veAef+tSn6O/vRxAEDMPgxRdf5BOf+AR33333Se3j+eefp6Ojg3nz5tHU1MTmzZv50Ic+xH333Ycsy/T3H5sV7OjooKGhgdLS0ik/m4zPfOYzxOPxwn9dXV0nPKebllVT4nMS8jq5aVkV+/uStA+nedPSSjxOmYBb5q2rawm6ZUp8ThpKPORVy2O31O8k6HFQXeTlszdOTEmysbGZSLnv2INVBN59ydRlKIpmFHyJb1pWfVL7v3ZhBcVeB0PJPC+1XTgz8Tazg7+7bh4Lq4J4HBILq4L8n+vmTrpdbZGHS1tKWdlYTMAto+kGjWVeVjUW4XFILKgKsLwuxPbOKEOpPEtrrJT8OeU+KoNuHJJIqd81zkVlOphb4WdlQxF+l0xjqbeQzn0xkspr/O8rnXz7qcP8aXcfxsgq36Jqq238LhkBqAq5C9u3Dk5ctRxFFAVuWV5NVcjNstoQV84rp67Ey5Xzy7m0pZRldSHmVQaoCrlZVBPkfZc1Fb5703JrrDKvws8bFlcQ8jqYXxlgVUMRy2pDLKoOomg6hmGSyVuZHSvqQ6xqKOINiysJuGXK/E7etLRqwnl1RTIFWzHTtFZfR/nAZc00lnrxu2SuXlBOOK3wH08d5tevdJLOH8s8CHkcXL/IOs7GuaVUBd0MJnPUlXi4flEFXpeM1ylz7cIKmsu9lPic3LuxidAkyucOSeTGZdWEPA6KvQ5uPsm+/2JH1Qz64zliWRWTiRPY9SU+rl9UQU410AyT94+5vsbykavnUhF0EXTLvHtDwwQ3GIB/vmMZFQE3TllieX0RH33D/NM651K/i6vmlxNwy1QG3Vy/+PTrd/6/K1uoK7bKTG5aVs3yuqLT3tf5gDxmciPksidTLyamfVn4q1/9Kn/1V39FfX09uq6zePFidF3nXe9610mvrH/4wx/mwx/+cOH11VdfzUc/+lFuu+02tmzZwg9+8AO+9KUvsXXrVnp6erjqqqsAuPPOO6f87HhcLhcu18nPCNYVe7lnYxOGYfK9Z1tZOlK7KIsC33z7qnGqnF2RNJ+8fxc1I3U/NUUe/u2ulSd9LBsbG6gMeXCOrAYJgkA8O7X418tHwiRzGuUBF2sbi09q/05Z5JblNfxi81Ee2t5jq9TbnFX8Hif/ee+6k9r2kjmllhbLmBKTDc0lbJxbxrbOKJsODlHqtwbQu7rjXD6vjGKvk8vmlhW2r5pmuzhBELhmQQXXLKgAoLv74i0V29wWpj9uCcwd6E/SWOpjcU0QQRC4blEl1y2yyn22jlhmguXjfiIaS32877JT18+pLfJwz8amKT9/09IqOiNpnPKxjI1L55QhCAKLa4IsrjlmUdV9XJXh8eccHJM9Ul3k4V/etgKAPT3xwqRqXzzHlvYw1y48FnQtrQ2xtDbEy21h0vljYmeXzyvje+9Ze0p/b0u5f0q1fpvJMTk2oTSYmPhcTeU1irxO3nOJla2WyE1e/rG0NsS337n6hMeaXxXkqU9cfUbnO8qqhmJWNZzc8/1E1Jd6+cbbV575CZ0nVIbciC6rPX12tu9FxbS3ttPp5Mc//jGf//zn2bNnD6lUilWrVjFv3rxp2f/XvvY13vve9zJv3jycTie//OUvcTgcr/vZdGGYZqGWBkA3zZE0xbEpXRLzKgL0xrI4JGGcR6qNjc3JUep3kVWtFaOgx4EoTj3DvOmg5Q5x3cKKk0qlH+X21bX8YvNR/rynn6/cpuGbJB3QxuZ8QD2u1lEdeQ5pE963VtYWVQeJZhQ6hjNUhVwX9Ur5TKMZxglfA2yYU0JW1RlK5plb4T+n1rNjryXDNNFPstSiKuTm+kWV7OmNE/I4uHpkAud4xo6Rjj/e+O2M47azy5rOBvUlHpKGjMchTnod6obJ2Evi+Pa0Ob8o8TrJCCICAiWv4zhgc2ExYyPWhoaGKVPZT5Vnn3228O/Kykoef/zxSbc70WfThSyJXDGvjOdHlOovn1uGLI0PLioCbq6YV8be3gSyKPDGM0j7sbG5WHnX+gb+6+UOdMPkkjklNB1niTWWTYcGAbjqFFfTV9UX0VTqpSOc4fF9/dy+qu6MztnGZqZYXhfi0ECScEoh5HGwqqEIgGW1IQ72JxhOKQQ9DlaPWana2FLGxhObOthMA+uaSuiMZEjndapCbhZWBSds45BE3nCejAWuml/OU/sHMUyTdU0lk9YyT8WyuhDL6ia6KIxlUXWAfb0JBhI5/C6ZdVNMIK2sL6J1MEUso1Lic7Jilqc1zxZWNxQTUWU8TonL5018ZoY8DlY3FrPtaBRRELhykm1szh+uX1zJ5u4soiBw17qp9b1sLjymPYg3TZP777+fZ555hsHBQYzjZloffPDB6T7kjJFTdV5pj6BoBqsbiykZ8c9d01jComrrIR1OK/zbEweRRJF3bainbCSl8Y1Lqri0pRSHJI4TkzmevKaztT1KTtVZ2VBEmf/0RD9sbC40lteFAJOsqrO8NgRMntLXFcnQNpRGEgU2jkkfPhks+5xavvXUYf6ws88O4m3OKnt74/REs9QVe8elMU+G1ymztrGYQwMpmst89MVybA6HqQ55ePeGRpJ5Db9LHlfadSa0DaVoG0xRHnCxsr7IFgw7AaV+F++/rJmMquN3ypNmA+3pidMby1Jf4mVuhZ+tHRHSeZ1ltaFCavOZYJomO7vj7O6OYZhWsL1qinZbWhtiboUf3TBnJPvIJUu8Y109KUXD65DGLXSousHW9ghpRWdFXYi7L20i9TrXrmEY/ObVbroiGTY0l3DVmAyAeFbltaMRREFgXVOJnU11EqxuLOJI3KQy6KZ8ijHnVfPLWdNYjCwKJxzDvh6GYfC/W7voiWbZ2FI66aTBbKYrkmF/X4Iir5M1jcXT1v+eCktrgmxqT+FySCybxKbU5sJl2nu7j370o/zwhz/kmmuuobKyclY/+P+4u4+jYcsD/shwins3Nhe8JL1OGUUz+Mrv9xEbsWxpH06Pq31/vZo3gD/v6efIkGWb0TqU4t6NTWfUYdrYXCjc87NXCrZCn3xgFz+4rXHS7Z47bKXSr6ovOi2V2ZuXV/Otpw7z/OFhEjmV4EnctzY2Z8rB/iSP77Xqhvf2JpAl4YQ+7q2DKR4b2X5bZxRNNykPuNjbm0AQKOi0TAc9sSy/39lbSKk1TFhzkloTFyuyJBKUJi/52d+XKNSI7+1NUOJzEBlRBT80kOTuSxtParxwIrZ3xfjDzl729lqF7B3DaXTDnHIVfKbHGaIoTNqXPrlvgAP9lpXd4cEk91za9Lr99i+3dPLoLst9ZFtnlCKvgxX1xRiGyQOvdRMfGYP1xnK8a8P0ZIBeyPxx1wBOr48jQ2kM02Rjy+ST36eSoTEVP3/pKI/ttQSnt3fGKPI6p7WvOpdE0goPbe9BHyk3yKn6OdHW+fsHdqFJ1kTgB/5rK89+8pqzfg4254ZpD+J/8Ytf8OCDD3LTTTdN967POv2JXOHf4ZTCg9u68TglqgIu/rR3gIyi8WpHhEhGRQB8Lon1X3kczYA5ZT7iWZW8ZlAWcBHyOMgoGroJ8yv83Lm2nlUNxQyMOUZW0Ulk1dd9uOqGycttYYZSOVrK/SdU1gynjilvXza3rJBNYGNzvnNoYIx6c15n38jA73ieO2QF8aeaSj/K/MoAcyv8tA6meHr/ILetOjkrTJsLD8Mw2XwkTH8ix5xyPyvri064vWmabD4SoS+epbHUNyHQjWdV/rynj3hWxTTBNA0e3d1PIqui6AYmAoqmo2kGP3+pnZqQh/mVAQJuCZ/LwbULK3hibz97+xIEPTJBt4N4VhvRijAYTuUJuGW+8/Rh4lmVuRV+vnTrYiTpzAI0y5Ju/Gubk+e1jghP7h+gN56jvsQzLphN5zW2d0bJqjp5VUc3oSOcoi+Woz+RQxYFDNMSzQ16HFQEXKyoDxFOK7xyJMJQSqG51EtjqY++eBbDNJlfGaCp1Ec6rxPPqiRzKkPJPDlNp7HUS0VgekUNzwQrc8ryvfc5Jf7lzwcQRYFrF1bQG8vy3y8dRZYE3n95Ew5Joj+e5f7Xujk4kMQwLKvFv/rVNjTTpMTrZEl1iGReI5VXyao6D23vJuSRuXROGWUBF05J5PJ5Zac8SaLpBi+1hQmn88yrCJww8OwfEe9zSCKXzS077y3LhlI5kgkdt0OivsQz6TbPHRrkwW09uGSRD1wxZ9IJxpfbhvjyI/vI6wbvWt/AB6+cWLuzszvCts4oum7idUkcGkhO+ltu74zSPpymKujmkjmlk2az/HF3L4/tGcDvlvnI1XOpLZ547i8eHuY/nj6EYcKHrpzDGxZPdFkYTOb4ztOtxDIKVy+o4I7Vp5eBN5TM86fdfXRFM7gdEg5ROO0gPp3XeP7wMDlVZ01jMfUlJ7bUHUs4rSK6rGsumc+c1vFtZifTHsSHQiHmzJkz3bs9JzSX+gozxl3RDE5ZRAC+8/Rhir1OcopKOGPNAJtAMq+j6SaqYfBqZwynKGBg0p/IFTxfBUEorC4G3DJNpb7CzHmR10HxSQTZr7RHCiq3HcMZgm4HTWUT64VN0+Sh7T0kR5RFBxI5/uKKC6NtbC4+Hnjl6IT3dMPkpVZrkupMZsBvWlrFfzzdyh9399lB/EXMa51RtrRbfevRcAa/Sz6hANn2rhibj4THbb9gjJXbpkND9MZyxDIKB/qTRNN5OsIZS0zMAEkEw7CeH6IArfkUffEspT4XZQEXWzsidEWsZ09W1fE4JOqKvcSzCrphUmLAgf4EyZyG1ynRGcngdzv41JvOzMq0vtiLLAoFQasT6VHYjOdgf5L7Xu1iT2+CWEbh8ICDuRV+Am4HJT4nBweSmKZJVyRDVtXxOmUe39OPblrWX5phIktWIO+SRfwumQP9SXKqznAyjygK9MWz7OiOo+sGkigwmFDojGTxuyRSOY1UXkM3TI6GMzy8vYcPXD7nnKT5TsZwWmEomUc3THbFslQFXThlif29cQ4OpNBGxO2+/Mg+blpWTUc4Q+tQilHNu7xu0h3L4ZZFUjmNvniOuRV++mI50op1H/TFBA72p7hiXhnlATfxrMo71p/aCv2W9givHY0C1jgr5HFMGlgpmsFD23vIqZbKfjSj8O4Nk2eNnS8cDWcQXV5ALWQxjCWSzvPD544URDP/46nDfOddE1Xo//7+3cQyluXgd59p49qFFbRUjA/2nz8ULggbpvI6zx8emhA0tw4meXZEnPZoOINDFidkkLQPp/jFy0cxTCAB33mmlX+6Y9m4bUzT5Mu/30tasca8//TH/VzRUob7uIyC7z/bxsGRsf19W7tYWBVgcc2pZwe83DbMkeE0pmmiaAYP7+jhr687PRHvP+/ppzNiBeDd0Qzvu6zZLg2xeV2m/Qr50pe+xJe//GV++tOf4vFMPsM3W3jjkipqiy2/d90wEAUBVTfIKDohD+TUiYqdOe2YBoCJpfCpmyaSODJoG1kgySg6kbTK9YsqqQ55yGs6i6qDOKZIxxvLaKc5SiSj0MTEQZaiG4UAHiCZ01B146SOYWNzvtE6PHGGeV9vgmReI+CWzyhF78Zl1fzH0608e2ioUJ9pc/Ex6oE9yvF97fFEj9v++O/nRwb2o8FwwappzKNDECzPbUGw3tYN0wrSTZOcqhdSNUWsFOj6Yg9FXgeGYRLyOIllFFJjfLi7I2e+ElMecHHXuno6whnKAy6aJ5kktpnIaAB/aDA1ru1lSWR9UwlFXgfpvEZeMxhI5NANk4BLIpVTLUVwrGth1GdeN0wM0ySvWgsEugmiCaZhBY8iJoYpoBkGumFy47IakjmNQwMpPE4Jr1MindfJa9Zkweny5P4B0kaE5jI/l80tPaMyyeqQm1TOylSMZ5XCrRDLauOcFvKaTlbRLQX744Za1tEtVyABqCv2kMlbGSqmCQYmItY4C6wx0qly/L0cSSuTBvFZRS8E8ACxzMSg+HyjxOtgMK8TcDkIuCZmDSSPa4tkbvK/KT2m39ENg45wekIQb5hjvZtgMDnR0i563G92fL8K1u8/ViQ/np24TV41yIxpi7xmEM+rE4L4sRMXJlam7ekwMCZzRhBgChOGkyI65hpVdZNU3nbLsXl9pj2ae/vb3040GqWiooJly5axevXqcf/NJiRRYHldEeuaS1k2krLukESay/yIAgTcEtJxzzJZtG5mSQCHLCKKAl6nRMjtwOsUccsSfpdMY6mPlnIfoiiwrC7E2lMQZJlfFUAceYi6HCJzphhguWSJOeXHPptb4bcDeJtZy1duXTbhvS3t1irouqaSM1ppWlgVoLnMh6IZPHNg8LT3YzO7WVB5rG91yiJzXsd/en5loHDdOWWRlorxffH65hIckkCx10ldsYfF1ZZ3uEMWkEQBv0vG75ZxyQKiIOJ1SrhkCUEQEAQo8jgKaaVOWWJJTYjaYi9NpT6aynzUFntYVhvC4zjm+T1dbigVQTfrm0vsAP4ksUon+hGwgpa8ZiAIAj6nTEXAxaUtpVy1oIJldSFKfE5qi7yU+V0Ue52UB1y4RwTgXLKIQxJxOayxglOWWFAVpCrkxuOQEEQBj0uixOvAKUsF8dy1jcVcNnKM+ZV+fE6Z2iIPjaXeMwrgAQ72JRlOKWztiHBwYPKyppNlUXWQ8oCb5jI/DSU+XCN+9fMq/JT6nIyGfFUhDyV+J3XFXmpCHkSsbBVJsDIUJFFAEgQ2tJTSUOKjpSJAQ4kXURQo8jgo87uoKbIWkhZN4hbweiysCjA6V+FxSpNmO4KVUTk2rXvBCXQtzhdiWRWnLJHXjcKq9VjqS7zjMoqumDd5zfyKMeVGZX4XG1smZsNdNtdKjRcEkCWBD1zeNGGbOWW+gt6UKEyuDbKkOlRI/RcEuHYSe0O3U2LFGOeEBVUBKoMTFxOvXVhR6Oergm5Wn6bex7s2NBBwy8iigCyK3LSs+rT2AxTEssGaRC21S19tToJpn+a55557eO2113jPe94z64XtxvLGxZW0lFtqrh++cg4vtA1jmLCyroi/f2AnggDzyry0R3I4RJGKkJOqgAdTMFlSG6K2yEsyo9ITz1IZcDO30k+R9/Ru0pZyP+9cX89QKk9dsfeE9Ve3Lq+hdSiFMPI9G5vZwmdvWshX/3gAgGvnljKvduJAbDT1eX3zmXlgC4LATcuq+O4zbfxxdx+3rqg5o/3ZzE6ayny8c0M9Q8k8dUVeQt4T17bWl3h55/oGBpM5akKeCeVQjaU+3n95M+m8TpHHQSyrsrU9zJaOMJfOKaPE60DRTZySwGAyj6KbZPM6+/sTaIZJwC1TFXST13XWNJYwvyJAbzxLZdCNJAj0xrNUBNz0RDO8dGSYVXXFXHqKDg0200NG0TBMS+19XVMJGUXjkpZSSr0uFlQFCtfGm1fU0jqY4pblNbgdAuGUSsgjczScoSuSoTLkximJCJgYWAN6WZTwuSUiSYU9vXHmlPsxTZOhZB5F16kv9hWcOd62uo6r55czkMzhlKRp96NP5SZ3CTlZLplTSnXITTqv86Er57CvN04yr7GmsQRF0/nV5qO4nTLvWl9POK2iGQafuXEhT+7rZ19fnGsXVVIV9PDsgSEW1wTYOLec1sEUkgjFXiftwynymsmS6iD9SauUcaqFjhMxrzLAO9wOwuk89SXeKQVPRVHgjlW1tA6lTvtYZ5vFNSHyghOPU6J4knGoKAp8/pbFvHY0gscpj7jDTORn71vPz19sJ5pReP/lzXicE7U4vvvuNXz/2UNsOxrj7ksbuWL+xEnGUr+L92xopDtmZf5MpuHgdkr8v7csZXtnjGKfg0XVk5/Tt+5axR9292IacPMUz/Fbltcwr8LPcEphZV3Raa9415f4eODDG3l0Vx8tlX6uW3j6E6iXzS2jtshDVtWZU+6bYF19Im5YWsIThy3dkvevu7DU/21OjGCa5hkkgEzE5/Px2GOPcfnll0/nbmecRCJBKBQiHo8TDJ76rK1pmjyys7egNH9pSymXzCmd7tO0OQW6u7upr68/7Ta1Obe82hHh+cPDADSVeVlTatLY2FBoT8MwWf2VJ4hlVB76yEZWNZzebPooe3ri3PLtF3A7RLZ9/g1nvHplc2Ls+3NyImmF+17tIqvouBwib19bPyusRy/29tQNkwe3ddMdzSIIltDmmfZJ55rRNv3X329Dcvnwu2TuWl9vO3jMUkbb83uP7SQnuJFEgVtX1NjZNrOU0fb8zYsH6ElbC6YbmktO2WrX5vzgdOLQaR+l1tfXX5AP8FReY3NbGN20LFtGVd7bh1Lc92o3kihQHXLx+N5+3A6Jcr+DnzzfRlY1WFYTJJxWaSrzcc+lTThkgc1HIhweSNIdzVLkdfCWlbU4ZZFdXTF8LpkNc0oKaWY2Nhcjz+zv57ub2gFoKfXwX++cP+7zQ4NJYhkVr1OaFsuaJTVBGkq8dEYyPHtw6IxS42xstndG6YvnaCjxsq8vwaGBJEuqQ8wp99ETy1JX7OGdP3qZjGLgdYrs/b83AlDic3L3pY0MJfOU+V1ntS7yQH+CI0NpygMu1jYWXzCZdNOJohlsPjLMzu44RR4H65tLWVBllVXcsbqO3ljWGgMEXHRFMvz21S6ODKeoL/bSVOajpsjDqvpitnVGSec1ltWFqCv28uC2bv60p49YRqGpxEdZwE2Jz0nI42BupZ/VDcWk8xpb2sPkVQOXQ6QrkiWv6SypCY2UbsxMudw71zegSW4qAu5JV1tPhWRO5b9e6iCeVblpWfWUEx3pvMbmI5Yo2qr6EH/eO8DLbcPohoksCkTTeVKKztLaImRRoMjr5PbVNTyxd5BwOs91Cyu5pKWUwUSObZ1RXLLEJXNKz/j8LwSqizy83JmhvsRLbdHk2lVDyTyvHY3ilAUumVM66aR2JKXw35s7yCoab1lVy+JJVscVRecrf9pPTzTL1QvKee+lTZMeb19vgo5wmsqgi9UNk/c9vbEsO7tieF0yl0wxRj7Yn+BbT7VimiYfubqlUAo7FlU32HIkQjKnsqQmREPp5Erw973aVei3b189ueBtx3CafX2Jkb6g5JRW0KeLn7/Qxr6ItR773vV1dhB/ETHto4NvfOMb/P3f/z0/+MEPaGpqmu7dnzN+t6OHwYQlyNEVyXDvxiYME/7xj/tJ5jQUTWdPbwK3LKKbJl/6fZyQRyan6rzaEaXM76J1MEUiq7C8rpjtnVGePzxEWtGpCro5MpSmocRbqK9M5TU7iLC5qBkN4AHawln+Z/ORcZ9vOWKl0q9pLJ6WwasgCNy4rIofbjrCo7v77PvP5rTZ0xMvqC0/sqOHnlgOr1Nic1uYxlIvcysCfOw328lp1sArrRis/r+Pse0LNwDgdco0lp7dTJDOcIY/7bb8nA/2JxGAtVN4jF/MPHNwkCf3DdAZySAKAj3RLO++pJH6kef3qPhZIqfyvWdb2XwkTE7RebktQlOpl0tbynjh8HDBSrZtKEVLuZ/vPH2YcFohq+js6U0ScEmUeF2UB1ysrC/CIYrs64vTO2JF1zGcYrR+vDuaJafqXLdoevQQjifgdhAMTs9q7b89cajgyHOgP8nX71xBZXBi+vQjO3vpj1spwve/1kVfLEtnNIumGyiaAQKICBwaSOFzycyvDPDnvX2U+qyslX29CYq9Dp4+ODROOf507cQuJH7x8lFkt4+OcAZZFPnLq8dbwymawYPbugvCgMMphbevrZ+wn689doCOYSv79OBAim/dtZLQcen5X/7DXp4dsYE9OJCkpsjNdYvG2761D6cLXvIH+5MIgsDq4yZ3UnmNh7b3WG2PVdZx8/KJz+iP3bejIC74id/u5I9/e/kEy81nDw6xpycOQOtgivde2jihvPV3O3p44LVuAHZ3x/G5JN64ZPx5D6fy/G5HL8ZIQrOiG1w9Sa3+TLOnLz3iNgC/eKWb/3fHirN+DjbnhmkfJbznPe8hk8nQ0tKC1+vF4RifdhWJRKb7kDOCaZqouslrR6PkNZ3uSLYgvJHMWSqoGUUnlrE8WdN5HcMw0XQdExHdsNToDZMRyxQTzTDojmbxuWT64xliGRVVN0hkVTwOEa9TxO9y4HVKDE2i4GljczHzx5EAY5RXRuvhpzHQuGVZDT/cdISn9w+SUTQ7pd5mSkzTnLBa9MjOHnZ3xy0BspHPYlkVRdORRQFFs7zdQx5HIYAfJZ49s1rjUznfjuE07cNpKoIuloxYKw2lxnvB28+gyRlK5kkrGppuYJgmfYkcf97Tz5Xzy8eJgUVSeRJZFVW3FOY1wyCV1win8gylciyqCiGKoOqwvy+BohnkVWufpmagySIpRcWnSii6wVAqR1ckS3c0w0AiRzqv45JFZEkkndembK/JrtNzSe+IxS5YwWJ3NEu534koigwl8+zuiRF0OxhI5MipOoZp3TPpvIauG2i6UVDpR7TU/3OqTjSdJ5pWKfY4EEURzTDZdHiIA30J/G6ZoFumfcQObLp+j/Pttz1ZEjmVdCaN2yHRGUlP+DyV1woBPEzdF/TGsiSylrOCpssMJPMTgvijkWPtbZome3uSE4L40f2P/p6THS+aVgoBvPWd3IRtsiNj8lFHj1ReYyilUBUan21gaUkYqLqB1yERSSsTgviOcNq6b3XL8rF9eOLvFE4p6IblWOWURbvPtDnrTPsI9d///d+ne5dnld5Yll/vGCKrGKi6jiRagftAIkdNkWckbd6N3yXjkUXiWZWuaAZME8MES/PF6mgyeRV1pM8ZSubJKlbQ/nJbmHhWLdhSmJgUex10R3OoeoaAW2ZNQzFP7BtgZX0R5YHzvx7SxmamuXtDPZtG/m2aZkGZfsM0ak8srT2WUv/0gUFuWW4L3NmMJ6No/G5HLwMJK1X+1hU1OCSRbz99iO893YZmmHidIlctqKDE5ySV02gdTGGa4JQFEjkn3dHsOB92gKaSmbFkTeRUfre9h3BaYW6Fn+V1IR7e0cOoGo5hwLK6EI2lPhySlb4sCNAyzYJos4lUXuOlw8McHEzQUOJjY0tZ4TncUu7niX0DHBpIouomneEMJV4Hv9x8lDllPlY0FLGlLcwzB4fojGRQdQNRMBEFgXhW5Q+7ehEEgX19SaqCLoq8TlY3FJNRdIyRcYSIiaIbCAq0DabojWU5NJBE0633syOWc0VeCd0wKfY6aanwk1N1XmmPkNcMSnwOtrRH0HWTK+aXs3KMkvjZJpJW2HY0ikMWWVwT5MXWMOm8hgD8x5OHyes6NSEPqbxGx3Aal0Mk6JE5Gs5iGAayKBLPKuQ1o2BZJggcWwHVDHrjOYq9TlJ5Hc3Q8DhEnjkwQG88X3ARckgiR8MZ/r8rm9l0eJh0XufW5dUsrD61ElDdMPnj7j7ahlKU+l3ctrKGwCzSCTgylMaQPQgCkwrxhTwOygOuQlA6lShyOqdxeNByKyjxOqmaZKy6si7E9s4oumHidUlcNX9iqnddiZvnDw/RH88R8ji4bsFEcbaKoAtBsFbOHZLIqvqJz2bPiLvH6MREZdA9IYAHqx/edHAQVTdpKPHywSvnTNhmSVWI/37pKHlNx+2QWDzJNVIRdLGzO0ZvLIdTElhSPXeSX8nGZuaYEXX62cxzhwZJm1ZHtK0zxpKaIF6nZSFy6ZxS/G6ZhVWWTVA0qzGczGEaJgaWx6ssWj6voiDgdckomo5mmLgdIqJg1bCphvUgMrFmkx2SRFY1WNNUQjiVpyeWZTCZJ6cZtA2luHdjUyH1zsbmYuWXr3QV/n1kOM1wSsEpi6yoP/N6+FEEQeCW5dV879k2/rCzzw7ibSbwake0kOZ7NJxhd0+cljIfP3qunezISlEip9MbyyKLIq2DyYJ/cE6zVg1rijxE08q4IL7YPzGleDp4uS3M8IgP8uGBFLkRL+1RemJZltWFKPO7eMf6BjojGcr9rkk9sS8WHtrWzQutw8QyKm5HlN5Ylvdd1ozbIXHJnBK+/fQhnLKIIBjkNIPdPXEkUSSRVTk8lGRHZwxxxCbQJYs0lflwywIH+lPohokoQjyjUOJ1UORxsOVIhKYyL92RHCYmLklAlkQcskg8o5LMaRzoS4AgsKK2iKYyB36XxNULKlB1Y8Sy1s9D27vpGM4AsKs7xuKaILIo8uzBQRZUBs5JPbiiGdz/WhfpvLWyW1fk5salVbzQOkwyp9I6lKTE52Rvb5yBRA6fSyatWPdWQ4mXcFohmdcIepwgWGnSXoeEQxYRgGTWUrAXRQG3Q2BuhZ90XqMjnGEomUcQIJLT8DllGkpdDCRy/MNDe3E5rAWavb3xSdPAT8SB/gStgykAhpN5Nh+J8IZpsnY8K5gmomBNhBwc+TvGIokCb1tTx8H+JA5JZGHV5LZ53dEMsihgmpBVdQ4PpVjTOD4zziGLVAZdZBSdUq+D9JgV/lGe3DtIbyyLZphE0goP7+xl+XHp9KpuDZp9Tqvtc9rE/ei6gW4YeByyNb4WIJFVrGtnDLu748ii5QCRyKm0D6dZflzt/LauqGVpKAoIwM7uKFfMHz+50DqQJJ3XcEoikiSwozs+pSK+jc1MMCO5om1tbfzsZz+jra2Nb33rW1RUVPCnP/2JhoYGlixZMhOHnDbGjKkIeRyFwU6x18m644Rj4hkFA8sfWNNNVAxckoCBlTZZ6ncSz6qkchoBtwMBSCm6Fb2PIEmWj7xTFpFFgaqQh95YDnlk6jir6CSyqh3E21z0JHJq4d+j9fCr6oumXQDy5pEg/pmDg6TyGv6zKCxmc/6jH2foYhgmPfEsHPe+U7J838cG6mANRgNuB4IgII0MEgF0w2AmON6ApszvoieaK6xi1o/JACjzu2aFEv5MouoGwymlEHTmVCsNfvQ5LAgCHqds+bqLIhlVJ5XTCHmdBD0yqm6OZDNYgdKo5dxQMkfbUAZJFDCxVpMDbgd5zVoEqC3yklEMBAGK3A4005rwiQuaFUgIAuJI5l5V0E1LhZ8r5o0PKgYSx9J58yPp+bJLxDSPrVqfbVJ5rfBbAgymFJbXhYhmVF7tsPrx0TTpsWcoCuB1SkQz1t8ddMvohoGJQJnfSX2JF0UzODyQLNxjugHNZT5yqsHRSAbdBIcoIIoCLqdYSH1P5BTKHdakWVbR6YllTymIP/5W1Y1z89ueNoJQ6HecU+jJuB3SOB/4yRBFoTAmFgVhQl8DEM2olI+xjBtKTUw574xY98XoOfXFJ6bKR9MKJhRW1vsn2UY3rEyWoMd6ZpsIqNrEc8qq+rgJrYwysZRpKJXHKYuFMtqB+MTzzihWtq7fLU65HxubmWTaZRQ3bdrEsmXL2LJlCw8++CCplDXLt3PnTr74xS9O9+GmnY1zy3CMBNB3rKrlxmXVXDKnlLevq58gntVc5qWxxIdLlvC6JDwOCVG0gvHKoJug24HHIRHyOnA7JKpDbst72OPAIQl4nSKlfhfL64p4y8paqkIeAm6Zy+eVFWpxi7yOCd7DNjYXI//45mMTgK/MQCr9KIurg8wp85HXDJ7cNzDt+7eZ3axpLKZoxD++IuhiaW2IplIf8yoDOCUrMPe7ZD50xRzK/S6CnmNptiKwrC6IzyVx3aIK3COrgW6HxJfePDMT3OubSwm4redJbbGHy+aW8dY1taxvLuHWFdWFmngbC4ckUl/ipXikjQNumTK/a9xz+ENXNuNzybgcEgsq/Vy7qILFNUFKfC4qg25WNRThdkhIosjSmhCiIPC2NfUsrwvid8v4XTI1JV4W14Qo9TtpKvXRXOZjfmWAOeVWSv68Cj9La0OU+Z14HBJ+t0xDqY8bllZx5fwyblpaNeHcx1qFragrKkxAXjKn9Ky6HIwl5HFQ6j/2280p89FU6kMUBBZVW5mObofEnDI/G5pLCbgdlPpc3LmmHr/bQcAlsaKuiNpiL7XFXuqLPVQF3TSW+rhkTgnzq4IE3Q7qir28YXElgiDgkkVqizxUhdwE3A6WVAdZWV+MUxaZW+HjkpZjKd0lPidNp2ixtrA6UFB1D7hlNjTPLgHIhhIvbodEyOPkb6+dd9r7uW1lLR6nhFOWWNlQxMr6iU4D1y6sKEwUlPicbGyZ+My+eXl1YaFKFkVuWDIxq6E84Cr0YwDNk6T4Ox0S1y+uRJZEZFHkirlllE6S4v/GxVUE3DJOSWRehZ9ltUUTtrllWTVep4woCPicMjdNIqK3qrGY5jIfTkkk4JYnPW8bm5lk2n3iL730Uu68804+9rGPEQgE2LlzJ3PmzOGVV17hjjvuoLu7ezoPN22M9efz+PxounlSqWfhVJ6fvNCOQxR4+7pa/rRnAL9L5qYl1ezpTeB1SVSFXLQNpinyOqgt8rCnN4FhWGIZqbylTr+kJliwpjAMk319CfKaXnjI2Zw6F7tv8WxnMJbmDf/+PDnV4Au3LuKqOgf19fXEYjHe9L1X6Yvn+NVfbOCyGbBT+ebjB/mPp1u5flEFP7ln3bTv32Z235+GYZJVdbzOYwJ2w6kcP9rURjit8q719axpKiWSVtjeGeGXm48STavcubaOd1/SVNhPJqOyfzDJoooAXu/M1dTqI+JfY893upnN7Xk8qm6lyLcPpagt9rK8LjThORzLKOzpiVPic7GoOsBQKs/RsFWK0FTmI5JSCKfzxLIqdcUeqkMeVN1gb2+CrKKxsr4YQbBWMPviVgldY4kXzTDpiWWtSf9iL6pu8PT+QQaSOTa2lDH3BFoFY8cOi6tDSKKAYZqnnck3XW2aU3X29sZxShJLaoKIokBvLEtPLEul34XbKVHmd5JSdHZ1xSjyOlhSE0LVTRRNp20ojW6a1ncFgb29CUzTZElNCM0w2NEVw+eUWVITpG0oTTKnUlfsZVd3jEhG4dI5pTSW+sgqOrIkIJjw6J4+UnmNG5ZUUnYapSymaZJR9JHJmtkhbjfanm1d/bQlTOqKvCyqOf12NQyTVzuiZFSNDc1T2/cdHkjSn8ixsCowblV+LLu7Y2xuD7OkOjSlRVoyp3KwP4nXKbOoOjBpX6bqBju6ougGrG4oLqykH8/B/iTJnMq8igChKfreVzsi7OtLsKw2NKUVYjSt0DqUosjjYF7l5GUHM8Voez7w0gE++2gbsijw+7++kuaK6XGSsDm7nI5P/LQH8X6/n927d9Pc3DwuiO/o6GDhwoXkchNTYM4HTufHszm/uZAGlTbH2nNvex83/eA1ZFFg95dumJE6z4P9SW749+dwSiJbP3c9Ic/sES2aLdj354WF3Z4XHnabXljY7XlhYbfnhcXpxKHTnk5fVFREX1/fhPe3b99ObW3tdB/ugmOa51RsbGY9x98TW0fqKJfXhWZMqGlBVYB5FX4U3eDxvf2v/wWbixq737YZxb4Wzi/s9rCZac6Ha+x8OAebs8+052m/4x3v4FOf+hS//e1vEQQBwzB48cUX+cQnPsHdd9893Ye7YOiP5/jDrl4yis6axmLWNZVMmQY0W1E044L7m2Ybqm4gCZbQz/lOVyTDo7v6yGs6l80to2qkt6oJebh5WTXL6ma2lvfWFTV884lDPLithzvX1s/osWxmljPpe0703ayi88jOHvriORpLvdyyvGaCdorN+Y9hmOimOWnbKZqBQxJetwzBNE2e3D/Ivt4EIY/MW1bW2no2M8jrtYuqG/xhVy9HwxmqQ27evKL2pCd9Vd1AFl+/zW3OPufTGMY0TZ7aP8jekXv+zStrKTkL9/zxz6Td3TG2dvchyyI3L68Zp41hc2Ez7UH8V7/6Vf7qr/6K+vp6dF1n8eLF6LrOu971Lj73uc9N9+HOW3TDpDuawe2QKPE56Ylm8bokMnndqufCpKnEQzSrUuJ1sasnTjKnoeoGX3/sIMVeB8vri/iLK+acUB07mVN5uS2MYcKG5pLzctCgaAYP7+ihJ5ql1O/kjtV1tuL3OeCxPf385PkjBL0OvnDLYhpLz++O/ifPH+EPu/vQdYNX2sP8w9WWsMyGllLesKp5xo9/x+pa/u3JQ7x8JExnOEND6cVruTVbiWdVHtzWTSyj0lDipabIQzidp6XcT03IQySjUBV0Tzq4T2QV/up/ttExnGFVQxFfv3NlYeCUyKmEUwqtg0l6Y1aJWMdwhl3dcdY0Tl47aXP+kcpr7OqKsaXdyu5Z3VjMVSM2UjlV55ebj9Ifz1Fd5OGOVVYQ+HJbmM5ImnhWpanMz/WLKvA6ZTrCGfb0xFF1g/bhPI/t6+e2lbX0xXMUex0UnUD9PJZR2HwkgiBYInR2+c7UGIbJQ9t72NUdo8zv4t2XNE4aOO3uidMxnCGtaOzrTeCURFwOS4D40pbSSXUCTNPksb0D7O9L4HNJ3LayloqgVcPdFckQz6r4XDLVIfe47w8mcjy2dwCXLHLz8uppERGMZ1Q2jwi4XtJcOmXd9kxhGCbd0SwOWaB6Eq/16SajaAwk8pT4nFNe/0/tG+C5w0P43TLvXN9AXfHkz+TuaAbThLpiz5R185uPhElkNZbVhqZ8tr/YOsTB/iSLa4JcMmdinX5HOMNzh4cYTuZxOSSCHgd3rK47hb/61IhnVB7cbj3PGku9rC61bBK+8od9HIrpCAjs7o7xw7ttHZ+LhWmPpJxOJz/+8Y/5whe+wO7du0mlUqxatYp5805fAXO2oRsmD2zrpieaxTBNFM3A7ZDIqpbVim6YtA2l6I/nkEWBiqCbqpCbplIfO7tjDCYtr9jNR8K0lPu4dcXUZQgP7+hlOGlZX3RHM7zvsubzTmRld0+cnmgWgHBK4dWOCFcvqDjHZ3Vx0TOc5qO/2U5+xMrnyFCKZz5xzTk+qxPzyM5e0nnLsuW1ozHaBs/upENdsZfL55bx/OFh7n+ti4+9ccFZPb7NmbPlSJhYxrIm3HwkXOhvXzsaRRLA53Lgd8nctb6eoHv8wPGjv97BS61hTKA3lqUq6OGzNy+iP57jgW3dKJpBXzxLsddZGNDPOqupi5hwKs99r3azpT2Mohksrgmy7WiUxdVBirwOvvtMK6+MBPfpvMbmI2EU3WBPd5wn9g+gGSY1RW7641k+dGULumGQU3X29MbRdJP+eI7eWA4BkEWBt6ysnTRYME2TB7b1kMha12l/PMc9G5vO4i8xu9jdE+d3O3rIawaCkMTnknj/5XMmbKcbJgOJHO3DaQzDZHdPnMtayhBFgXhW5bZVE8dVnZEM+/sSAKTzOs8fHuata+p4Yt8Azx0a4vBAkrKAizWNxbxjXQMep4Si6Xzl0f0MJKzJvMODSf7h5sVn/HeOBmtg9T/vu2zmJ65HMU2TR3b20j6cBmDDnBI2tky/gOwo8azKb7Z2ks7rOCSBO1bXUVM0fuKgJ5rhf17pJDUyJjAM+NSNCyfs6+kDA+zsigOwqDrAm5ZOVJV/9uAQe3qsbY4MpXjPJY0TFsCePzTE9ze1oRvWaruAMMENZziZ51B/smCNOHrtzBSb2489z46GM4QM67fY25dEdHkBk8f3Dc7oOdicX8zYcmh9fT319RdnCupwKs/je/rZ25dAACQBNNPyhS31O8kpOpGMQiyjYpjWg8PtkCj1O1F1A6/Tsr4wTUjmrJtUN0xeaB2mP54dsVYpxTRNwmM8N5M5jZyqnzMrmZPFHuaeff6wt4+seszctmM4cw7P5uQYW+MlCJDMn30P1revref5w8P89rVu/s/188+7CTIb+NmL7ezpidNY6uM9Gxp46Ui4UJY0SjSj8MxBa3CzvNbSUvC5ZBySxOaeYX6wqRXNMFlQ4aOmxEdnOMO+3jj6yCUoAC+1DQGL2NsbL/hal/icZFVLobos4GL5DJd42EwfB/qT5FQd07Se2a92RJlf6SeaUfj+M608e2gQEyjzudjcHubltjDhjIKA5UUtiQJtgxrDSYUDfZbS9XBKIZpRkEVh5BqJ01IR4PBgmoHncty9sQmXLLKlPYLbIXHV/HJcslgI4AEiaQVNNwpuNTbj6Y5lCpPRpmkFM6NEUgrf39RKLKNyWUsZneE0g8kcLllC0w3+tKcPn0smo5aAAHu646iGwWAiT4nPwYq6Ig4NJDkaTuNxSLxlVS2qbrCnJ05fPEs4rTCQzOFxSPxxdx+aYWCaJkfDKZI5HUGA7Z0xHt3VRzqvsbqxiLkVkyuWHw2n+cnz7eQ1nbetqWN987EAUdGMQrAGEMuoZ7UcMZZReWhbNzu7Y4iiQH88c9pBfCqn8YNNbfTFs2yYU8rbJylNOzSQ5KXWMAOJHCGvgznl/glB/FAyz/6+BOF0HmnERvB4dMPk0V19bDliTb6ubSzm6gUVE7Iu2ofSPHd4iJyq01TqI5pRJgTx27tihUlZzTDZ0RWbEMT7XTIhr4NYRi1YS59r7PH1xcW0R3tvfetbWb9+PZ/61KfGvf8v//IvbN26ld/+9rfTfcjzjr5Ylq1HIxiGiWaY5FQDv0tCN0yiWQW/00EiqxYGiLoJaUVHTCuUB1wIgCAIhLwOrl9s+U5u74yy7WgUgN5YjpDHwaLqIC3lfloHUwDUFnnwzpDQ15mwrDZE22CKnpiVTr+uaXZ5ql4IbG4dPzs7Gzr61Q3FbO2IWANpv4s1U1i8zCRvWFxJyOOgL57jucNDXGNnkJxX/GlPH3/eYwkPdkeztA+naSixVjv74znuWF1LTyzLA9u6yWtWwPbq0SiXzCkh5HFwZDjFliMRMoo1AN96NI6nN0mxz4miHbtLTKByxG94bCmQS5a4eXk1zWV+vA7pvKjTtDk5RtvRKQmW9dhI4P0/m4+yqydOXjPIKjqZvE5a0VA1HVUf6TsFa3Le7ZDoi2dJ5TVkUUAzDETA73agGyb9iTyCKBJNKzglkUd29GKMqb3P5DXesb6B+hIvXRErGG0u89kB/AlYUh2i2OskmlFwyiKrGooKn31vUyu7u60V1oP97XidEqU+F6qm0x3N43dJZFWdZw8MEUurtA2l6IpmkUWBUp+TI0NpeuM5NN0gldc42J9AFgW8TolEViWjaIiCwIF+a8W1pshDTtEYSiqMZm2HU3kODSQB6IvnuGeja9JSiq8/fpDBhLUI8+2nW/neu4MERrKBnLJIY6m3MEHRWOo9q3pCg4ksW9ojGCMT6X/eO8DX3nZ6+/rpi+0FMdru17ppKPZyyXFe8bu74xwetH6zRE5lc1uYm5aNX0EPJxUGk3kM00TDZF/vxFVvSRTYdGiIvKoD8PzhYUzdhOOy83f1xBgcyZzY25sgnZu4QDCvws9LrcOYWIsIk1k71pd6WdVQTCKrIonCjJdSXdJcSm8sWygPaykzXv9LNhc00x7EP/fcc3zpS1+a8P6NN97IN77xjek+3HlJNKPgkkUUzUA3rFUcaUQkRRYFqovcZBUNVdEnfNfyvwzy9nX1LKwKFDr1+JiZ+rGvb1pWzYH+BIYBC6fwzTzXOGWRt6+rt4XtziGdkfPT2vFE/PjuNfznix0ksip3X9qIkgif9XNwOyRuX1XLz1/q4OcvdthB/HlGf3z8dT2UzBeCeN0wkUSBezc28ZutnZimA80wMQyTaxdWUuJz0p/IFYIyE+s/bWT1xeO0+nAECLhkrpxvtf2axmJSeY2+eI6mUh9La0LnZb9rc2KW1YaIZVX64zlWNUjUF3uRJZFD/Ukckkix14lT0vC5ZOQMDCV1TEASQRIEZEmkxOckmlas4F0QkUSh4BveVObFKUvkVZ3ygIu6Yi85VUczTEKeY9oKALetrOFAvxXELKq2raJORFOZjw9e2cye3jjlPhfXLqosfBZOKYV/q7pBqd+DbkAknafY5yDodiAKliBlXjPQDRNdN5AEEd0wSeV1vE4Jv8taTMmpBoJglUIcHkySVXUCLgcep3hMBFEQmFvhJ6vqSKKAQzrWFximSTKnTRrEj11pVzSDWFotjPcA3rzi2DWxsOrs+o8PJPNIooBpmFgj2NNneEy2KEB/YuJYRBIh4HaQU3WcsjjpYlRfIotTEtAMEwEQJxlKZhUdhySi6VZw65BF4nkVj3t8qOOQREr9LnTDxOMQiWSUCfu6YUkVWVUv1MRfu3Dis9/vsmrz24fThDyOGReUC3kd3LuxCVU3ccoi3d3dM3o8m/OfaQ/iU6kUTufEDsvhcJBIzGy9yPnCJXPKqC3yMpjM4XaYuJ0iHoeEacKcci8lPhearnN4IMVohrNDFFB1g3hWYUVdkERW5cXDQ9QWe6kIuqkMuEjlVFI5zerEWqx0ekkUWFIzO1I47QD+3PEvb13FW3/00rk+jVNCkiQ+dGVL4XX3Oeo+3ndZE//1cgebDg1xaCDJ/MqzO6CymZqr55fz7EErLVIWBW5YUsnwyEC+KuSm3O9CEASunF/Bo7t6UUYG2vVFLi6bX0lZwMVAPMfWjiijw1W/UySn6PgcIo2lPjTdwOeUWFAVYDiVJ+RxcN2YwGGmsZ4LKkG3w+5DT5KuiCVo1lTqw+2QME2T9uE0kYyCWxbxOmUO9SfJqDo3LK1kd3ecjKKjGTpLaoO82DqMzyXjd8ssqPDxzMEhRKzrwyWLlHidlPudKLqJIFhp3YZhEvA4aCjxUupzUh5ws6w2RFnAxTMHrEyo+lIvTlGkK5pBM0w2NFtZabIksrR2djzHzxWDiRzhtEJdsYe55QHmlgcmiL1dNb+cX2/tRNUMgh4HRV4HWcWgrjhEYFimN5ZFEGBJTZCBRI5YRiHosbImPE6JeRV+eqJZhlM5BFFgfmWARFYlmlG4Y3UdW9ujZFWNrKIXxDC9TonL55aRVnRU3cDtENF0E0EQKA+4qApNnmK9obmEZw4OYppWkF5bPH67c3lNrG8ooSLooi+WQxBgRV3Rae/r6gUVbD8aI6tqVBW5ufS4VfjRbR7fO0Aip+J2SFy7aGLA/KZlVXzn6UNEMtbE6mTp/R6nxIq6ENs6Y4C1sFU1iSjfVfPL6Y5m0A2T8oCb1ZOsoIuiwMr6IjTDYHX91BO1kgBZRSPkPnPhwVReQ9EMir2OKY83lMoTTinUFs+82KDN+c+0B/HLli3jN7/5DV/4whfGvf/rX/+axYvPXOxjNuBxSvz8/ev4w84+Sv0uNjSV8PvdvVQH3Qyl8uzrjRdm601MJAnQTVTNSpX/+uOH8DolkjkNQbBSiUt81oBhMJFDEgU6IxnuWl/P29ZcnLoDNqeGKORffyObSWks9XHD4ir+vLefn77Qzj+/dfm5PiWbEZrL/fzzHcvY2xunpdxPc7mf3liWjKLTWOotpCV/8oYFDCay/HnvABLw17/eyXfftYqVDcVUhVyF8hITMBAwDBO3SyacypPIargcIt944hALq4K0lPt4+7p6vM6Z1x5J5lTue7WbRFYl4Ja5c039WVepnm28djTCc4eGAUuz4B3r63mxdZiXWsPs7UvgkgT6E3kyioZumMwp9zO3wk84lac/nqOpzGethgsmW9uj/H5XP+m8hscpU+tzUhl0EcuqtA1nEEWBueV+6ks8qLpJVcjFHatqMQzwuGTmlFspuFVB94iavZe2wTQHB5IIQCSjYJqmncnxOrQOpnh0Vx+GaTKYtMoJXbI0QXDttlW1lAdcPLitG5cs8mJrGJcs4pJFnCPZkSlFp/PgkKVlIYtUFbn53A2LAQPDgJ+/fJRETkeWBA71J/ncw3toKvWiGSarGop4pT1SKMVYXhdicXWQEq+Tl44M88LhYSuLw+fksrllNJX6prScvHxeOUfDaRTd5Kr55YiTLS2fI2RZZEVtCEU1rDTxptNPE9d0A0G0SkRNw5rsOp6A23JjOjqcpjLopio4MUB1yyKyJGGiIQK+KUpHb1lehW4YaCa8edlEUTuAFfVFvNoRJpZV2dBcOmlf/uyBQT72250oqo7LIfG9d69iw3EK9Ymswmcf2sNgIocsiXzg8uYpJ3j1QgbB5Pf6/r4Ej+3pRzdMFtUEuXFp1YR+oW0oxR92WveB2yFxVe35Vz5rc3aZ9lHI5z//ee644w7a2tq49tprAXjqqaf43//934uiHn6UkMfJuy9pBOCZA4NE0gpdkczIjSxwZChNThsVzRjzRRNiWY149liNTlaxhFxGa/O8TolEXmXTwSE7iLc5Kf7mvj3n+hRmNX9xRTN/3tvPg9t6+Otr505pbWNz9qku8lA9RgRprCBSPGsJNEUzKq+0RzEMAwMBNa/x8ft20FDq57URBfJRYlkNUYBEzhosIkBeN+gMpwsTqnt7E2dF22N3T7wgepbMaezojhUs0GwmZ2ytbCStMBDPs683QSStYBgmA2mFWEYZWTWV6IlmyKk6pT4nJvBqR5TygItkTiWRVUiMZL+Zio4sqkTSKsm8ykilBdu7YmRVnWsXVnBoIMk9P91KTjOoKfLw6RsXsrK+iD/u7iOeVWmp8DM8EoQCHB5IMdCYn3K11sbiQH8Cw7RKYY4MpWku81EZlHilPcK6ppJxgbJTFqkr9rKjK4qqGzgkkcGkQiKrYGJlthgGIEBWNRhOKvzrYwfoi+dQdYMynwvNsNLgXz4SxuuU2N0dQ9ENXmwd5sp55YVA7Il9A/zk+XbSeQ0Tk4DbQcvIxI3HIZ0wc+altmFqiqznyL6+JJe0lJ031oJd0QwHB1IggAE8f2iY/3Pd/NPa11P7B4hllBGNCJMX28K8bc14G7aD/QlaB1OW7oCqs70rOsHJ4ZGdvQwm8+iGiQH8eW8//3jH+Al13TD5054BDvSnMIE/iQPcuLxmgrDdk/v66QhnUXWDV9ojXDGvnKbjUuG/v6mVRFbBMCGn6Xz3mbYJQfzmI2EO9ifJKBqSKPDIzt5Jg/jXjkZ54fAwkmil6c+bJJvv0V19bOuMWvbUsSxrm4qpCIzvFw70JQs6BTlVpzOSnfiD21xUTPvU36233srDDz9Ma2srH/nIR/j4xz9Od3c3Tz75JLfddtt0H+68py+eZUdXDNMETTc5Gs4QTisFdeMTMVqjqZvWDWtizeRphomqGfaKjM1Jk8tPrPmyOXnWNBazsaUURTf4tycOn+vTsTlJthwJEx2pPdUNS1UcGKmNt/49UZnkGKO9tGlCXjMLg8HJlJFnApcsHff6/FmtO18ZW38siQJBj0zRGBtAt0PCIYlIIyufHqeMxyHhccpWudpoPa0kkMjphUGzbpgk89brkU2szA3TZCiVZziVZ3tXjLSiY5omPbEs97/azRP7BgoaNm2DqXET9IJgl5mdDMUjbSoI1krmaFs6JBHpuNXK4pFxkaewjUBe09BNa/xkmmOFXU0yik5vLItpmuiG1ZY5RQOsuuOBZJ6carVZIqdyZNgSEs4qGju6Yqi6QTidpzeWQzdM2kc+f7171Tlm4kEUhHGvzzVOWSQ9otlkmiZZ9US95InJqkZB5d1yg5i4Ej+cyhcmK7OKPkHrBKzx8+h+TCA3yRhawGRfnzXhY5omB/qThft5LEeG06gj7w8m84TTEzMVY1m18LwwTIhnJ46hFM0koxxzkEoep101+vc8f3gIwzRRdZMn909uAdcRThf+vt5YlnRu4m9efNyYP+SZWLpsc3ExI/mAN998MzfffPNM7HrWMba/CnocNJX5SCsaJX4n+ViuoFA/ioCVNiSKlqiKJAi4nRI1ITcmAnnVIKfpzKsI8FdXzz2rf4vN7GV1QymPHxg+16cxaxEEgb9/00Ju++6LPLi9m7+4otkWoJoFjO1eVzUUs70riqIaiKJA2YgdkNcpklaODfRG3UEE00SWhILP99LaIPMq/Mwp9501HZIVdSH64zk6IxlqitysPgcODbON6xdVWkFIXmNFfRFFXie3rqih2OukzO8k5HWg6iaH+hMkchpXzS9nfmWAHZ0xEjkVRTWoLfZQ5HGQUwfpjmYwTZAlgaDLgdspkdMM8pqlRO9xSFT4XTglEbcskhWPPfdNTI6PWTY0l9A2lCKj6KxrLqHEZw/EX48NzSVohslwMs/imiDdUWsF8pqFFRPSk+dWBLhyvkZdsYeAWyad1/E4JPriOUs4zSFiGKAbBj6XTNDtYDCZxxxxDZBEgRKvE49Loq7YgzyURjOsgD7kcbCstojygAunLLKzO14IvNyOY4JsG1tKqXgdu7Ebl1Xz+N5+VN3g8rnlhRr784GAx8Elc0rY35dAFsVJ69hPlmsWVDCYyJHKa9QWeSat868t9tJY6iWWUfG55EI2w1hWNhRT5ncSyahIgjBpnb5hQLnfXQjKrcyGienrC6oCDCTy5DWdqqCbcv/Etnrjokq6wlkU3cAli9y4pGrCNotqgiysCtIZyeB1Slw9ifideZwX0PGvC+dUGSCVtyYRa4u9BDwTw7P1I/fBUDLP3Ao/pUJq0n3ZXDycl4biuVyOd7zjHezbtw+Px0NFRQXf//73mTt3LoODg9x99920tbXhcrn43ve+x5VXXglwws/OFTUjndaeHqsO/s61dZT6XPzvK5387MV24lkVhwQOyRoYFHsdXD2/nFhWZVd3nGKvkyvmlfG+y5p5eEcP4ZRCdcjN7atrJ6zS2NhMxY/u3cCcTz9aWFmsCbrO6fnMRlbWF3HTsir+uLufTz+4mwf+8lLbCuo855LmUnqiWeJZlcvmlrK2sZhkXsPrknitI0I8q7GuqYS9fQlyik7A48DnEMioJqU+F+UBF6m8FRB8+c1L8bvP7iNTlkRuXj55XafN5HicEjccN+AOeRzcvLz6hL/lhjml3K008cC2boaSecoCLv7x9mU8uK2b9uEMjaVe1jYW89SBQbwumeFUHgEo9Tm597JmbltZy/L6EN984jCJrEpV0M0dq+tY1VDMg9u6SeY0msq8bJhTysa5p+e5fbEiS+IplZGsaSxmTWMxd454kndFMvzHU4fpjGSoK/bwlpW17O6Jo2gGc8p9/NdLHbQOpvA4rLrmq+ZX8OT+AQzT5JZl1fx+Vx/JnMa8Cj/vv7y5kD0RzSj8cXcfRV4nTWVeFlYGuWFp1UmJn9YWeXjfZc2n94PMMEG3g9tX1VEdCiOLAjcumxjAnixXLSgnnM4Xrv/JfpulNSHWNpbQE8tS7HWwfs7EUqXldUW8Y30Dm49EcDlE/vqaiYtYsizy7ksa+M3WLkwTbltVM2mffcOSKnKqZSG5qDpAfcnEGvx7LmuiI5JhMGGVu7xjQ+OEbZpLfdy+upbDAyl8Lok3LZ34O3mdMpfNLePF1mEkQZhU5R7g1hU1iCM2l6sbiynzTxyjyZLIlWPug+5uK4iXxWNZY0WTBP82Fy6COVluyxmg6zr/9m//xn333UdnZyeKMj4FJRKJTPHNY+RyOZ5++mluvPFGBEHgO9/5Dvfffz/PPvss73//+2loaOBLX/oSW7du5fbbb6e9vR2Hw3HCz16PRCJBKBQiHo8TDE7/Clte03GI4rhZ45yi0RvPUBN0gyiRyqkE3TL9CYU9vTFSOQWHIBL0OlnbVELQ4yCvGRPqeyIjNX41RZ4Jn13MdHd3U19fP2NtOtsYSuT5wM9fpr7Iy3fvXn+uT+eUOR/asz+e4w3/tolkTuPjb5jP31w377T2M5q6eTFPAsxke5qmWVit6wyn2NoeZePcMkp8Tvxuicqgh2g6T1ckQ1WRhyK3zGAqT32JH13XCacVKoIeDMMgmdMITWIRZTOe8+H+VDSDnlgWn1PC45TwOCRkScQ0TVJ5rfB6lKyic7A/wVAqT6nPSSqnUTHiahDPqpT6XPhcEopu4JRE5BH7qpxqre6m8hpupzRuQj2n6qRzKgGPsxDsmaY56bP7fOd8aNMzwTDMER0hGQHLgtLjFImk1ZFVX4k55X4ETPrjOaJZlYqAG4ckMJTMUxl0W1ZekTSSJNBcFiCWUdjZFaOhxEtzud/yjgdEUUQUOK/79NH27Bsc5mjSpL7EW6jLnwxFs4TtpCnE2E6Wk73+c6qOSxZPKPSYzKl4ZAn5BOUKrYNJDMNkXuXUtsuGYaIaxgkXw/b3xXi5LcLVCyoKIpXHk9d02ofSlPotR4qpUHXDyuo6wfXRE82SUTSay3wndR2NtmdXzyB//eBeij1ufvaBS173ezbnJ6cTh077lM2Xv/xlfvKTn/Dxj3+cz33uc/zDP/wDHR0dPPzwwxMU66fC7XZz0003FV5fcsklfP3rXwfgvvvuo7W1FYB169ZRU1PDpk2buP7660/42bnm+I5C0w0e3d1fSMO5fVUtFUE3j+7q5XvPtnFkKIVuWIk3PqdEY6mPW1dWo+lQE3Kj6CbDqTx+p0w4nccwrXT9d64/O6rJNrOLRCrP+q8+iQns6k3z4pcfY8cXbzjXpzXrqAq5+cIti/nk/bv45pOHmFcZmHT2/XiGknl+v7OXl9rC7O6JMZS07tkir4MFlQHWNZXwpqVVLKkJ2krV08Bje/vZ35dkW2eE147GwDT5wXNHWFgVoNTvYm6Fjz/s6iOSVvA6Zd57ST13b5wDWNaGFSPqyKIo2gH8LEHRDH6ztZPBRJ6DA0nK/E4aS33csryG5w8P0R3N0hW1VtRN0/Km3tkVozeWI5FVyWsGHoeEIAqEPDIbmksp8Tm5fXUdtWPEEmVJxD8ywJ7s2nA7pAnBiiAIsy6An+3kVJ37X7OyKkIeBxlF4+W2YSJplZDXQV/MEhi8ckEZjcVentg/iEMSKQ+40AyDUp8Ll2wF5lnVQBQELp2j8OPnj5DIWUJmH7m6hcvnzT6hybt+tJmoKuOURD5/yyLesqpu0u2mQ68hndf4426rr51fFeDq+eUTnnGGYfLE/gHah9NUBl3cuLR6yvsl8DpWbk/tH2BXdxyAhUNpbpxCoV4UBVzi1PfkC4eH+NzDe1B1g//efJSvv3U5a5vHlxXkVJ1fv9JJNKMiClbGwlRZGFO5FIzyakeE5w9bJY+1xR7eurrupCdPLv/XZ8HlBdIs+vyf2P//bjyp79nMfqY92vvVr37Fj3/8Y26++Wa+9KUv8c53vpOWlhaWL1/O5s2b+du//dtT3ue3vvUt3vKWtxAOh1FVlaqqY4PmpqYmOjs7T/jZZOTzefL5Y2IWZ9vDvm0oTWckA0BG0dncHuGNiyt5/vAwPdEMmm6ijdRa5TWD7miWZ/YPsbaphKf2D+JxSlQG3WzvjFLmd1Hmd5HIqhwZStt+szYT+PsHd46rxIqNEVeyOTXuXFvPru44v9h8lL/+n2185bal3LWufsLAJKNoPL53gIe29/BC63ChdnIssYzKlvYIW9ojfOeZVlrKfdy2spbbVtVSX3JqCvi6YdI2lKJt0Kq3FQSoCLhZWB2YNDXvQiWn6uzvSwIcEzYSQNdNuqMZXA6Jh3f0EssomKa1svPU/kEW1RRNSMO2mT10RzMMpxTCaYV4Vi14QD+8oxtFM+mLZ+mP54hnVLKqjt8l0R3NEU7nEUzrOZxTLf/vrKLTOphiVUMxe3vi44J4m9nB7p44Q0lrjNcRTrPlSBiPUyaRU+mMZCjyOohnVZ7cN8jCqkBBfDCWUXA5JEp9LnpiWTTdpCrkxjBNHt7RQyJ3TMjsyf2DszKIH0rmkFw+8prODzYdmTKInw5ebB0uZEXt6IxRX+xhbsX4QHdfX6LgKtExnOGV9si4tPGTRTdMdvfEC68P9Ce5ZmHFaU2gPbCtpyB+p2oGD2zrmRDEd0YyBeFUwzTZ2RU7qVKKydjRFSv8uyeaZThlZYKcDAbHVMqz6uuLZttcOEx7EN/f38+yZcsA8Pv9xOPWDXXLLbfw+c9//pT399WvfpXW1laeeuopstnps1P4p3/6J7785S9P2/5OleMn5WRRKIiqyJKIIFjKlIIAkgDiGBVbzTgW4LtkqfBvsGqZTNMkpxq4HSdOS7I5f8mpOk5JnNJT9FSpnsR31eb0+cKti4lnVR7Z2cunH9zNb1/r5tbl1VQG3Qyl8mztiPL0/oGCwi9YNfU3L6tmdWMR9cVeRFFgMJFnd0+MZw8O8dSBQdqG0nzjiUN844lDrGsq5vZVdVy/uGKC1YxhmByNZNjdE2dXV4xdPXH29sTHHW8s8yv9vGVlLXeuqXtdwaXZjGma6LqJSxbJawZeh0QcFRHQBXDKUkHmSEAoiAwZptUH28xe/G7ZUi8facbR56VDElE0fcxz0vq/OJImLCAgitazVhAEREFAFIXC9q+38gfW/ajosy9d/kJm7CqmYZoIgoAkWPf9uG1Mc5ySvCQKhddOWUQUjo2vqoJu2obShdcnK0qo6QaaYZ6X14cszWy/lz9ORT43SZCZ1/TjXp9eICqJAj6nTCpvTbSMOlGcDpWB8RPflZPoCAVG6u013So7OJm+YiqCbgfJkQkiSRQKIok21uSMavevkzLtQXxdXR19fX00NDTQ0tLC448/zurVq9m6dSsu16mtBn3961/nwQcf5Mknn8Tr9eL1epFlmf7+/sKKe0dHBw0NDZSWlk752WR85jOf4WMf+1jhdSKRoL7+7Hmut5T7WVwT5EBfkhKfg8taypBEgfdd1kR/PMe+3gSqriOJIkGPgxX1IZpLvSg6LKwKWNZzhsmq+hBlATfJnMacch/7+uL8x1OH8TglFlUHuWN1rX3hzyIMw+TR3X20DqbGlVmcKZ+7dTH/+2oXOc0akKypn331jecTDknk3+9ayYKqAP/x1GFeOxrltaPRCds1lHi5bVUtt6+qpfk4H1qAMr+LxTVB7lrXQDKn8uc9/Ty8o4eX2sJs7YiytSPKZx+yBo+VQRcuWSKeVemKZshMErB7nRLzKwMEPQ50w6AvnuPIUJpDAyn+9bGD/MdTh7l3YxMfvrplnBXXhUBe03loWw998RyiACV+S3DswW3dhFMKpT4ncysC+N0yqxqLePC1bpJ5HYckcPPyGjbMGb/KYpomW9ojDCRyNJf5WD6JGrLN+UNFwM31iyrZ1R3D45RwySJlARe3LKvmxbZh8pqOohnUF3vpi2cp9btI5Ubr5AX8LplYRsUEaopcNJb6WV4XYl3TiR0Bwqk8D23vIZnTaCz18paVtWdcQ2xz5iyrDdEZznA0nGFZbYhir5NXO6JUhVwsrQ3SG89R7HEwr8rPUFLB7ZDwjSiMe50SiazGxpZSnLLI/r4kxV4H1yysoMTn5NWjMapDbt5/EsJ07cNp/ri7D0UzWNlQxDULJhc2O5s0l/npSVuB4qdvXDSjx1rbVExXNENeNagIuphXObG2fFF1kN3dcaIZFa9TYnVD0Wkf7y0ra9h0aAjThMvnlZ32vfix6+czkMzTPpRmfpWfv7l2opBeZcCNUxbY3ZMk5HHwtrWnn9Fww9IqnjkwSE7VWdtUMumEgG6YbDkSZihlqdOP5twG3CLpkbmmuWUX1oJNfzzHwzt6yCo68yr93Lys2l6cHMO0C9t9+tOfJhgM8tnPfpbf/OY3vOc97ymktf/d3/0d//zP/3xS+/nmN7/Jr371K5588kmKi489RO+9916ampoK4nW33XYbHR0dOByOE372esy0sN1UmCMzxGNRdYNYRiXokXHJUmGbvKaTyGoUeR2WJ2VOwzANvE6ZgNvBU/sH+P3OXvriOQRgaW2IG5ZWsbK+iFhGJeCWxwX0o/sLeRwXpFftbBTlaRtK8ciO3sLrpjIvt09DqltG0fjJc21s74wRcDu4emEFd6yeuRS6meB8bc++eJYHt/WwvTNKNKNS5HGwtDbElfPLWN1QfFoPnL54lt/t6OWRHb3s709MsKkCy4d4YXWQFXUhltWGWFFfREu5f8KgJZZReHzfAL/a0snOkZS9Mr+Lr9y2hDctPXfK59Pdnts6o2w6OFR4vaI+xLULKydsN9qfDiaytA2mWVoTIOCdOMH82tEoTx8YQBkRZHrD4kqckkhDqdfWHZmE8+X+jGUsMd2Qx0FONeiLZwm4HZT5nSi6QSKr4XdJ/PC5I6iagSyJFHkdBaXwSFqx7OROclXt0V19HBpIFl6/aWnVBWM/OdNtmspr5FWdEp9z0n7SMEwiGcWy7lMNfC7plO+90fvdNE0iaQWnLBJwO0jmVIaTef6wq4+8ppPXDJbVhXjzitrp+vMA+PmL7YWUa4D3Xtp4zsqbRtszEo2hCE5CXudZWeTJqTrJnEaJzzllUD067j1+nHo+0zaU4sFt3UTTlkji4prgGY3XkjkVRTOmvB82Hwnzclu48HpjlcAly+fzzUe3s2dQwSWLXD6vgndtmHzxcjbywGvdhdJjgNumWBC5EDgvhO3GBul33XUXDQ0NvPzyy8ybN49bb731pPbR3d3Nxz/+cebMmcM111wDgMvlYsuWLXzta1/jve99L/PmzcPpdPLLX/6yEKSf6LPzgXhGJa1oVARcyJLIts5oYSX+6gXH6nZGxVVGGb2ZXbJEeWB0G3j24CD7+5KIgsB1iyoIpxQEwZqt0wyD9MgD8n+2dBJJK3icEm9bU0eZ30Uso/DbV7tJ5TWCHgdvX1v3uqlAA4kcoiCMOzeb6eX4blucphnHeDrPr7d2MZjMIwoC0Ywy64L485XqkIe/msTu5kz3+ZdXtfCXV7WQzmsc6E8STSvkNYOQx0FVyEVT6ckp2BZ5nbx9bT13rqnj2YND/OMf99M6mOIvf7mNO1bV8pXbl14QQenx98pUkyej71cEPbQPZ3hkdz/lfhfXLKwYl3rZMZxiZ1cMVTcxDJPnDg0hiQJBt8yX37IEWZIo9U0cBKu6wWAyT9Atn1F6pc2p81LrMFvaLQecpjIvW9sjtA2lCbhl7lpbzxuWVFEekIin8/TFssiSSDiVR9VN1jeXsKQmdMq+7cdfZlP12RlFI5pRJ71mLkb29yV4bE8/iZzK/KoAd60dryuiGya/fbWLA/0JOiMZ6ou9lAdcvHlFLQ2lk+uFZBSNp/YPksxpLK8LsbQ2VNinIAiUjgmeA24H0bSKZphIoojHIdAZzhDPWMJ308XxJXHnwxqiJApUnsUSu8nEHo/n+HHvZBzsT7KtM4rXKXHtwoop+9fBZA5MZrx0TNUMnj4wSCKrIooCbsfUz+P+eA5ZEqacwNnXm+CRHb0ous6qhmJuWT5xxTmcGu/2Fc1Ymg8PvNbNUF5EQKAvnr+ggnhRpJBF5XPJXGhJTqmcxsGBJHXFHk7njpzxkdull17KpZdeekrfqaurY6oEgcrKSh5//PFT/uxc89rRCL/f2YdbFvG7ZS6bW8qmg5YS5UAih0MSuW7RxFWjqQin8gXxJsM0ebktzLrmEvb3JdiViaPqBtGsgqIZRNLWjZ9VdLYdjfLGJVXs7I4X6oYSWZU9PQkubSmd8nhP7Btgz4hgyPr/n73/jrPrru/88edpt9fpvak3y1ZxkyuYYgMGTG8BQsmmQTYs32WT3YUktE1C+EEIkA0sSYAAoeOGjbstN1mS1UZlNKPp9fZ+T/39ce5czWiu5JE06vf5ePhhzZ0z95x7zzmf83l/3u/369Vdw7aqz+05obvOy9qWAAcnUvhdCjct0fe8ZzTBRLJY6ga1eHHwla0eq1wceJ0ymztPXdK7GARB4PbVDdywrJZ/fKyPbz85wC92j3FgPMW33r/ppBY6lwrrWgIMzGQYiuao9zu5tmuh1/Bcjk6nebaU1ZhOFfE4ZG5acfx+K2gmumHfMRPJfFkYcjxh8Ykfv8xtKxvwu2Tu3NCEqls0+J1IosB/vjTCaCyHYcF7ru1gecOl/b1eKmiGOW9ce3CfHSACpAs6T/XNcP2yWizL4q/uP8iekQTxrEqtz8myeh+P9E7TEnQT9jqYSObRdIu2sLuiLklO1ZlKFanxOrhxWS3TqQKJvMbyBh8rKpzvmXSRn+0cpaAZ+F0y79zavuhM/+XKc/0RDk6kSOQ1DoynaA64uHVOqXn/dJrf9U4xky4Qy2rkVYOQx8GLgzE6aj3ESwKGTUFXOUB87NA0R6dt7+xHDhZoCDgX6Inohm1D6FYkGgJOgm6FeE7l4ESKkNvBvz47eEqV8dPl9lUN3L9vgqJmsrU7PG8hocriSeRUfrt/ErMUGxjmVMVExNN9M7w0aLe2nawaa7FMJPIcncmwstFfUWRuJJYtPyMEKAv4nchv909ycMIW7ru+p7biXPvnu0bLc+yxRJ6t3WGaTlhoWdnoo286jWXZeg1tYTsjPZUqIjjcWFj0zakKuhxoC3n44fPDZIo6G9uDNAcvH02fWEblL3+1r1wh9JFrT/9aXZIg/je/+c2it7377ruXYpeXFMPRHN9+coBETiWWVQl7HByZyuB3yeVVuVlBi8ViC64I5QHNqYhc3R7iyGSagmYQdCs4FYmpdHHe380+7JwnlM87T7GCmFP18uAC8NJgnBuX1Vb7Us4BgiDwunVN3LGmcUn7KgciuXnq9Jq+pF00VS4hXIrEp1+3mptX1PMn/7Gbw1Np7v7Gdv7hnRt57SWszq5IIvdsasMwrUXdO6kTxtx0QZv3c0eth3WtQbJFHdM0GYrlUSQB1TBJ53U0w9Yc+MdHj9IYcOF2SFzdFuLwZLocSHz7yaN84a0bTulFXGVpkAShJGJni2I5FRFZFdBKk2yHbItcbT8aYSyep9brIKca6KbJykYfZslL/uBkihcG7MWAnnovd29smfesS+Y1frJjmGxJT+GeTW18aFv3Ka+7fWMJCpqtYZEu6BwcTy3QYLjSKOoWifzxe+7AeGpeEB/JqmSKOqJgC1DO3q9OWaR/JsP9eycwTIuQR+HdWztwO6R58yjLsrNcc4XQDdPiF7vGGEvYwdatq+p5z7UdPN03QyqvEfI4MC2LnUPxJQvi22s8/MEtPVjWwqx8lcWTKerl+S5UnjMbpjVPm2bPSJIbl9WdUeVL70SSLz1wqNxO9b/esIblJ1wTAbeDGq+DsEdBEATCFXRm0gWtHMCDbSVXKYgfTxxfAEjkNDJ5A06oqF7R6OddLplIWqWjxkM6NgXYlbmzKerLrTX23r3jTCYLmJbJrqEEB8fTbDwLzYSLiccPT5WTrKpu8nDv1Gm/x5IE8W95y1sWtZ0gCBhGZfXky5m9YwkkAYqaSUEzyGsGNR6FaFalzudEABJ5lW881keN14FDEplMFWgMuKjzOZlOF2gNedi2/HjgPJEsEM+pDMeyrG0O8rp1Tei6SWeth7FEjt6JFH1TGRoDLrZ0huyewFKm6J8eP4oiCtT57ElMR42HjacQbVIkEYd8fHLkdohY1sIywiuJRLbAe7/zIiPRLHV+F9/78Fa66pYu47bUwkgdJ9iVVYWXqlzfU8sDn7iJP/mP3bw4GOPj39/Jf71jJX/6quWX9GTzxGvbNI+rkauqwRce6KU/kqXO56SzxguCrUy/vjVILKPypd8e5MBYkpyqU+t1sqLRz/uu7+LfnxskllXxOmRqvAqD0SwDMxn8ToVwqfx2MlVgKlUo77ug2fagyy7xKoeLlWRe48kjMxQ1g61dYUIehZ++NEpO1bm+p4b2sIfn+qOousGOwSgf/H8v4ndKaIZZsqEz0XV78t9W46Y56OLevcc1SQZmsiRLwd0sfVNpskV7HqMZFvvHkrSE3KccU93K/KnW5dC+cra8dm0jOwZjaLpJa9hNrW9+ANRd56Ut7GYqVUAQBJpDLlpCLm5aUcs3HuundzyJ2yHRGvLwnacHaAo5eezgFC8NxZElgdtXNdIWPv7c2zkU53e9k/SOp1jR6MPnVNg9FGdTR5ir2oI8sG+CI9MZnJJIg9/OiJmmhSgK5f/Pfe10mO3JvxKJZYp89ZE+ptMFNnWE+fgtPWeUAGoKuGgOuphI2uPrxvbQgm0kUSCnGvSOJ7GAlQ3+U6rTn+pcPrR/krF4HlU3cCoSjxycXhDEX9dTy6tWN/B8f4Qan5OP3LxQ6NAhi8RyKv3TdutrpeMGWF7v48GpCTTDZGWTn/oKavjZos5TR2aYShZY2eRnbcC+poIuhYmCPT+/qu3yspg+MpnGwta1yKk6R2YunyA+4FIYjuXIFnUUSWR5+PTP3ZI8SUyz6kt4Kvwuha46LznVIJlX6ahxE/Q4uKYzzFVtIaaSBZ4bsMs694zak8eeOh87h+IUNIPOWi/jiQI+p8Tq5gCyKPDQ/kmCbgWfU+H5gShP900jCSLLGrw0h9wMRXI4ZJFs0bbBAruX0+WQkASBqVSROr+Dj9+yjNeubUQQhLIn5omDniKJvGFDM0/3zZDXTHKqztcf62N1k5/XrWu6IjPy/+2ne+kttTOkozn+8N9f4sE/v+3CHtQpCLkVJAFKSSkcypV3zqospCHg4ocfu47P39fLvz03xFcfOcKB8SRfeefGi76fu6AZOOVT22g+uH+Cn740QqZgoOo6e0dTmNi2nRvbgrSGPbxpQzNNARchr4OvP9rHkck044m8nVkVRIq6wQ3Larm2u4bHDk2jGybT6QJ7RpLUep1ohslwLM/yBh/LG3ysawny8kgClyLSWevB56wGbOeKB/dNlCf1Dx+YZDpdJJIpYpgWv9w9jiIKGJYFll1uP5spswC9NG8RJYEdQ3F8LpnpdBG/U6ao2dkRRRJwKdK8a83nmn8+T/y5Elu6wiTzKuOJAl11Hta1XB7Cd2fDsgYfn3rtSnYci+FxyNyxdn4paXPQzXuv62DvaJKAS+E1axt4tj/KV39nu4E4ZRHDtHj+WIQbe+rYP55k17D9umlZDEYyzGSKtIbcJHIqT/fNgGVnvHYOxonnNWRR4PBUmrF4nqPTGXwuia46uyrjoQOTHBxPMZbME/YoBN0KYM+TVjX6ef36xc19RmK5eeX0Ny47dYucZVkU9cvHTut7zw6WhR8fOzTNmqYAt6w6fQ94WRJ5++Y2RuN5PA6pYr+7ZVkI2HNWCzs5bS+ezD9P0+kCv949RjKvsakzXLHkPpXXiGXtsUQq6iTz6oJtTNMW48vrJpmCTr64MElpWdA/neHAeApR4KSuMLpp2ZanFpgmFRd97ts7znefPkZWNaj1KfzJtXbL2FiyiOi0F6xeOLbQJedSZnWzn6lUAcM08bkU1jRdPmOnblnIooBI6Vo9g1i6Ors4D9zQU0teNWiv8SAKtidx0K3wqtUNeBzyvDJO07SYPY9F3WDW2lbVTX6+a4wa7wz1fltlN1PQmUoVGI5lyasmsiSgmSYep0xbjYdMQWMskSeZ1/A6ZCIZlbymE3ApGJbFTLrI7mG7bCxd0Hj80AzpgoYsCTQH3dy0og6/U2bHYLxcNvjooWn6S6WiByfSrGj0X5FZpqf7Zub9fHA6e5ItLw5kSUQWBQzDfsi5q+W9VUookshfvXk961qC/M9f7efh3ine+s1n+b8f2HxR9snPtZKr8Tq4c30TfpfCVKrAU30zCMAtK+rRDIv794yTLRpMpwsMx3LMPiINC45MpVENi2ORDGubA3zg+i5U3SxNpma3syhqpm1NVuPh/dd3kinqfOOxPnTTwuuUCHkc+FwyW7rCrGsJ0FPv5bFD0yTzGle1hir2UlZZGpL52Z53jclUAdOyyBYN8qpdepuz7Om7LNm+71PpAm5FptanUMhbyJJAIqfhlCQSOY0nDs9w14Zm/t/2YwxGsvTU+/jeMwNkigYNARf3bGpldVOAWEZlIJKlKeB6Re0FsO+xC+kEcbGyriXIupaTZ582d9awudP+fvtnMhycSGOYFh5FQjUMskWDWEbl+WMx/A4JzbDQDAPLsohmVVTteMWEZYFTkVje4OORg9O20r0i8ejBqZLYsIBpCdR5nSTzGpGM3f44HM2RyitlwcKVjX4OTaZZ0ehjeUPlkvuDEymeH4jilCUSObXse769L0J72EN7TWVhvnhW5ee7Rst2hXdvbFmUeOmpKGgGumldsMXEE9uUEhWC4cUiSyJdp1AmtyxbQ2auHahhWQsCnd+8PM4TR2bQDYtjkRzL63101M5/33q/E69TJq8ZeBSJugqCl9v7o+wajqGbFvGcyr89N8TfvGX9vG0i6SJHptKYlj3331XBihZg90icaEbDtCyOTmeYSRcXBPyPH5omllUxLAs1YfD8QHTB+1xu9R53X9XCY4emyagGq5sDl9UCaDqvkyloFHQDzbIW3CuL4Zzc1Y8++ihf/epXOXjwIABr1qzhz/7sz7jjjjvOxe4uehyyyOvXn7zXdFWTn/1jKaZSBTpqPPTPZHhpMIbXKWOaFi8NxlB1E4cs8Fx/0Vagt6BQ6ufLayZF3UA3BQ5NpBiYyeB2yHgdtqd0QTXIqwaSaPeWFVUDSxAIuhV0w0LVTR4/NINpWRyeSqPpJkq3yL17xpBEsSzckchpC3rnZ0tVrzQuteIThySCICAKJRGWS7hcusq54Z1b21nR6OO//GAnR6czvPmftvP1d1/D7asvvK/xXPaPJcvZ193Dcb71xFHyqoEFdNd5UHWL720fZFmDlwNjKQzTJFXQOXGoyqompmkRzai8eCzGigYfb9vUyr6xBLFsEVW3qPM62NxVQ1v4uMDQS4MxFEnE75JJF3RaQm4+8aoV5cyQxyHzxqtaztfXcdljmhaPlgTLGvxO7trQzEMHJvjWkwNkChrL6n12f2jeDuSLur0IIwKUFs2N0msCkNd0xuIGpmUvwsxm6SyrtGijm4iCgKqb/PrlMbJFnc5aL6sa/bw05OH2VQ3cuLyOG6virueV2blGjdeB1ykTi6uk8zqSKJIpaGi6bUGXLRqIooDPKfGTl4ZpCrjZ0lVD73iSl0cSWKX3csgCpmy3VsRzJZV6QeDIVIqDEyliOZWgSyGn6ngdEg5ZIlPU2DVsB2GWZeF2yNT7nfTUedlZKuNvC7v5+4cOU9RNuuu8eBwSyxv8RDNFjs5kUA2TG5bVVsz+Pj8QLfd6D0VzHJ5Kn3KR45U4PJnmoQOTGKbFxvYgK09jTfY3e8b41e4xHJLIH9y6jGs6FoqrTiTzPLR/EtUwuXFZHetbFx7r7asa2H40SkEzaAq65omHzmKaFg/3TnEskqUxYN/jlSoRfvjCEI/0TuFzyfzpq1Ys0C0QRQG/U+IHLwxjWhbv2NxeUY9k31iSsbhdbZXKa4wnCguC+K5aL36XvXjjc8kVFw803SyVQ9vz60ol8BYWumFR1AwEAbST6E+NxfPkVPvcR7PFigFdQTNI5u1AX5JEZPHyXyD+56cHSOQ0LMvi5ZEEz/ZH2Lb89Cs5LkYSWZWCbmJaYBkm0+nTX+Ba8iD+m9/8Jp/85Cd5+9vfzic/+UkAnn/+ee666y6++tWv8sd//MdLvctLHqcs8e6t7aQLOken06iGSdijMJEqkCvaq6ixrEpONRBFu8xHEgVaQ26m00UM08SC8mqvZUFBtb1wvQ4JwzDJ6xamYSEItmWDU7aD897xFA/um2B7/wyxrEa6oNNUUn/MFU0i2TwTiQKSKJDXdD56cw+TyQI51aCn3jsvC29ZFr/rneLQZJqwR+Huja1LatVyMaGdw7UL3TCZyRTxOZfOosoAar0OirqJJECNt6qQW2Uh13SEufdPb+IPf7CLnUNxfv/fdvDfXruKP7pt2UXUNmMfh26a7BiMlSc1mmFxdDqLUxaRJZEjk2lm0gW0kyy4CUDfTIaAS6ajxotRqpD67JvWkisaaIZF2KvQWeud99kFQUAUBNY2B1B1k9tXN5xzK6MrmUOTafaOJOibztgK1Qcm2N4XQbfAJQnsG41zLJJhPFnAmHuuBftZOBu8S4L93CvqJhazInQCNV4H9X4nQY/CrSvqyWsGsaxafuYapkUyrzEUyy2Z5WeV44wl8jxQ8mq/vqeWLRUqG+7fO87Pd40xmczTEnJjWhYeh2RXDooiXoeMIgl01/pxyjIht8yLgzH2jqZI1Ro8NxBlYCZLTjMoqAayKJBVdeKSStCtIIkCsgUNAae9mINt0avqtiK+BSxv8PLSUBzLsq+dHYMxtnbVcGxG4+m+GbpKQeBPXxopO/8cmUpz47I6FElgKJajMeDC45DZM5Lk6vbwAjvDEy8v4SwN6Z7um8EoLX7sGUlS37m4+cR0qsCPXhixK1sw+PYT/fzz721ZsN1D+yeJ5+xg89GD03TVeRdk/Au6yc0r6sgUdWq9DmJZdcH848B4qiz+NhTN8eKxGLesnB+oHZlK8+MXbZVySRD4xmN9fP09m+ZtY5omjx+ZIeS2P+ez/RF+f1sXrhM0KCzL1sEwLQvNNKnUueBQRHKqRiqvI4kLxaDBPl+zpe+mRcU0uM+p4HPJ5EsBes1JyukNy8IoVYHJloVaQXw4q+rlSjFLNyuW719u9E1lMC27kianGuwejl82QbxmmliW3Upxpnm1JQ/iv/jFL/LVr36VP/mTPym/9olPfIJt27bxxS9+sRrEnwRRFAh6FIqGyZ6RBMciWQqanV3qrPUiCqAaBi5RQhQEJFFAFIWSb7G9WhjNFFFksTzsm5adFbIAteQhD/YktCnoIqeaNAVdDMWyDEfzyKKtdl9QDQRgbbOfe/faN5BpWCRyGg1+Fx+9uQdVN3E75o98/TNZDozbA3Eko/LM0QhvuKpaQng6qLrJT3eOMJ0qIosCb9zYQvcpyscWy5bOMNd2h9kxmECWBD5wfecSHG2Vy5EGv4sffex6PnfvAf7jhWH+7qHDHBhP8ndv34j3Iujv3tAaLFvJiYKAJIBl2VUms+rFHodEMqueNIAHyhm5dEEnkilyaDzFvz87iEuReNWaBt53XWdFsbItnWFGYjlm0kV6GnwVM1RVlg61tKgZz6mYpsW+UdtCVRAE8rqFCOimNq86ShTALYsUS1H9bJ/srCaIUxZQJAmPQ+Luq1v4/W3d+JwysiQSyxaZSOaZSBYwTAuvU0YA/C6ZLUtg9VhlPo/0TpWD3qf7Iqxo8M9b/B+KZnlw/yTZoo7fpVDQ7IUVtyLhkERymoFLkQh7HbSGvRyLZkkVNURRRDdM+mfsOUwyr6HqJoYFhmGhiAI+j0xjwMXG9hAOWSSvGhyaTKMZ9iKB3yXzmrVNtATdvOWaVr75xFGMUlJlMJLFwg6+tDmrR4Zp4lYk8poBCGzuDPP2zW04FYlMKcsuCLabwonc0FPHZLJAPKfRU+9lVdPZKeTL4tzFx8UL2hY1c54SfEGvPJCqcz63adlVnZyQH1B1E79LKSckChUGZfUEwetihf1NJvPEshqzkfJwLLdgG9OERFYrK34HPQqaaXHiEuuG1gCxbJGibtIUcFHrW7gI+9jBaRI5DdOCWFblscMz3LRyflWaKAh01XlRdRNZPHm/e9ijYJh2Ei10ksSWLAhIoghYiIKAU154rsYTReylR5u+mcvLTq4StV4Hw7EspmVXlK5tXhrXiIuBjKqjGmZ5AWj2uj0dlnxGlkgkeP3rX7/g9de+9rX89//+35d6d5c0edVgNJ4j5HGQyBfZ3hdBNewHhFla7S1oBlOJPE6HPeEwTcsOwIsGmYKOzynjc8kUdZMar8JMuki2tNJc73OSKegITrvsU8BeLJAE0A1oDrpoC7s5OpNBlgSaAi4k0Q7w37W1HcOy2DOWJFvUS56Udh+XJArzAvhIpsiRyTSxrIplWRQ0g6xqnHSwuhyQBTgXLm1D0SzjcVvHwKVI7ByKL0kQLwgCX33XNYzE8vicIjUVHlpVqszikEW++NYNrGsJ8LnfHOCBfZMMzGT55w9sprP27K/Hsz22161vYjyeZ1Wjj7++v5dcUcchSvTUe7GwMCyBVF5FoHKPoIAd6HkcUmmxU2L3qF1qm9cMXjwW4/ZVDeiGyc6hGPGcischU+N1cnV7iPdf34lumGfdr1rl5Ki6nQ09OJGkd9wWfNVNO2vhdsjkVB0L20pubquEADgl8DpEjKKFSxFRdZBEqPUoZFWDombiUkQ2tAWodSvohoEs2RPwl0cSrG0KICAwkczjc9p6B69f33xRLGJdbugn9Lnoc1ZjhqM5BmaypAsaec3AJYvopl1SPx7PU+93Ue932As4AgTcMg1+J/Fska5aDzOZIomcxrrWAJOJArHc8UmyadlBlWnBeDJPXjW4+6oW8prB0ak0LkVibXMQURDY1BHC7ZBY3ezn+f4oPqdMa9jFUCRL0KNwx+oGhmJ5BAHevrmDR3onyakGqxp9bO4IMZkqcOf6Jh7cN1kWyqxUpRj0KHxoWzfJnIokiWftInPH2sY5+6wjINnaPXnVYGoqTchjV6GcSHut7Vj0dN8Moghv29Ra8f23dNbwV7/ZT07V+eCN3QsqCwC2dtXw6MEpJpMFtnbVVLTuW9sc5KkjM/RPZ2kKuthUQX28u9ZLyCMzFs8jSyJrmxeW7kuSQJ3fyUzGbreq8TgqluXfsaaRQ5NpEnmVq9tDFTUK0gUdy7IXegVRIFWhvH3b8joeOTTNnpEEPofCe67tWLCNLAm0h912Ba0glCs2TqSrzotmmBimRa3PgbuCg0VH2M1UKo9lgSxC9xI6Il2s1Pns+9sEHBLI0uWj55TIqjhE0E37+XQmhTdL/kS6++67+eUvf8mnP/3pea//+te/5o1vfONS7+6SJVvU+dGLw6QLOtGMylN90ximhW5atIZcNAZcFDSD4ViOaE5FS1tYloUi2TYLoiCAIGCZFkNRe0XY55C4flktfVMZirrBcCyLW5FoCrpZWe9l+7GYffNLEj31Hq7vqSWnmjQGXKxs9JNTDRRJZGtnDX/30GF6J1LohknArbCpIwwW/NPjR2kOuso9S6mCxn++NEJRM9F1k/0TSVtAyrQD0kOTaTZ3hHnDVZfXBOhcSQEI2P1asyvRDRV6rM74vQWBjtrKgjpVqlTifdd1sqrRzx/+cBeHJtPc+bWn+cydq3n/dZ0XzIYullX58Y5hipqJLAr84Pe38tOdYzy4f5Jj0ZwtYmaYJ9XrUERoDbmYShVJl8oRD09lmEgWaPA7yxPRQ5Mp/vnJfg5NpilqBggCYY/CqqYAf333OrovQtG/y4WXBmP8eMcIfVMpjs1kwTLJaBZOWbTFYU0LWRRtTZiiydw8niiCasJM1s56aoZBjddBS8gNloWISr3XwUymyFNHojxxOMK3nhrgy2/dwG1rGrEskCSR9a1B1rcGWd7gZTCS49GD04zF84tWJa+yOG5ZUcdv90+imxZXtQWp9dnPvMcPT/PycIL+mTTTqQJZ1cApS7x+fRO9E6mSArktBjUaL5BVdfaMJkjldUzLRDcoayNEs0W7etGiLG4pigKmBbphMJksIIsi//nSCB6nRFY1aAm6uKotSCSj8sD+SfaOJRlL5DFM2DeaJK/ppEsl4nU+F793QyeiAL/cPYYlgN8tI0oi9+2bAARuWFbLx27pecXvY+dQjKf7IlgW3LCslut7FnqKL5a2sGfePkdH7SD+P18aRpfciILAXRuaWHFCYK0bJg0BJ8sbfDhKDg2V+PTP9nAskgULvvzbw9y9sYXACdnoe/eO8fxAFM0wmUgVeMNVTaw+IQCfTObZOZggki0wmSpwdDpTvg5mCbhlIukimaI9/82qC33iLQsafE7G3Q4syyq3R5zIM0ejDEVzmJbFc/1R3rqpbcECxKpGH78t6QnIosDaClURumnRVePBLYs4ZKniootbFjkwkS7ruASnKmfPr+2qYe9oEtOyCHocrG5eKOB299XNvDQcL/fEv+XqFr5c8d0uH353cKp8z6aKJi8cneGWlReXTs+ZctuyMD/aMQrYiVW3dPrPlSWPqtauXcsXvvAFnnjiCW644QbA7onfvn07n/rUp/j6179e3vYTn/jEUu/+kmEwmi0LmByeTJIu6HgcEqKAbSfnUkjnNeq8DiJZFVW3+95NC9IFA0EElyyRKRrlTFOyYLD9aAQQKGgmiiSgGRa6mSORk6n3uYhkCuQ1g77pDKph8eV7NhDyOMirOs/2R/E7ZR4/MsPLIwnSBQ2XIuNzyjhlsVQeZvcs/a53Cqcskspr5EqiHomChmFY1HidFDWdiaTt79oUcPH8QJRXr1ko5HKpcq507Uygwe9kOl3EpUhVP+EqF5wtXTXc+yc38Ykf7+bFYzH+968PcP/eCf727VddkKz8kak0xVJJpm5a7BpOsXM4wUy6iGVZ6KadZRcE+//GCZM4zYRoViV/QilNtqhTdCtIgsC7trbzXH+UWFYtZUcAwVY+T+U1njgyUw3izxHP9kf4+qN9DMxkiJ/QElHUTHxOkbxuIYm208aJU3njhMHZwg7YvE7Z7ifNa3hdMsPxPLppi9glchq/3DPGdcvq2Npdw0gsRzyn0RpyM5NWy9niQ5NprukIl3Vjqpw9Kxr9tNd4Fiio7x9NYlkWkbSK36VwXU8tiiRy8/I6TMsqZUotfrZz1J4flfQPXIpQDuDBfqamCgZSaUwQSo4FQZdctp9TJAh6JMZiOdJFHZ9LRtVNfrZztBxEP3xgEp9L5lgkS7ZgkFV1VN3ENG2BzTdtbCaZ13i6L4Ju2Mc9Estz++p6wh4n+8eSrxiQm6bFM33RcuD5XH+UTR1hHBX6sc+Gw5NpomoOv0uhJeRaEMQn8hqPHZwqz+EKusndVy/Mxg9Fc+VjzRZ17t0zxvtumO+Vfu+eceI5tdzT/Js9EwuC+Id7pxiMZbFK5/U3e8a57oTv6rf7J0nkdUDAsuDZo5GKn200kS+Lwo3G81gVarF2DcXt1grTJJFX2Tea4NZV8wPDWSs7TTdxyCLDifyC9xmO5UgV9HLWfP9YkjUnBN+HpjLEMsWydfOxyMI2AIDeyRTLG7wY5qwtXZplJ7gfPH54BkkAUwARgYd6pyq+1+XEiZ0V//7CMJ++a92FOZgl5q8f7Jv38/6J02+PWPII4bvf/S7hcJje3l56e3vLr4dCIb773e+WfxYE4YoO4oPu46VUAbcDUbBXSDXDoing4taV9fRNpRmMZnHKEkXNQDftIN5eXRawrPnDkwVkinbwXvacFEAvWEii7Z2aV21Rn2ROY8C0++69TpmHeycZjOQo6gbP9EVIFzQKmolh6kwm7ZVRRRJZ1xLA75J55OAUhmErvMqiwFXtYaSS4FMkbVv9OGSpLAaSLmgMzNirq3M/e5X5BFwKbTUeWkutCw0VSt2qVDnfNAVd/Phj1/P954f48oOHeOFYjNd89Sk+fnMPf3T7svO22LR3NMHATMYuubVg71iSTEHj8GQSdU461rDsDFylLAxAurhwGU6RRF63rpG7NjSzqbOGo9MZHLKIgIBQcnWQSjok1SBu6ShoBuOJPEG3Qq3PyaEJ27c7XdAXaBqY2NkYOA2HkNK1oBsmKxv9CEBb2M2RyQyzBbKSKOBxyIgiBBwKH7yxq+zV/R8vDJet7MD2jq+ytFTK9AY9CtGMilOxFeR9TgWnLFLQDVTdJOxxkCj1NYM9/7GAglYpbDu+mGfrIwi0hDwIpT7kqXSBRN4uvTdMyOsGLsn2od9TUrS3e/JlMgWdTNFAM+zjkESBSKZYFsMEmEkX0U27R3w4lifscRJYxLxHEOzy61lRM1kUzljw6lS8MBBFk1zIokhjwMk7trTP+31e1RlLFtBLK2KD0cqBpygcX0QTBeiqX7iomy0aZYcj07Io6gvF2HTDJF8SbZNKzhCVsEr7AcqCfXMxLQvVMOx2z1IpvKabCxXqBYtotmgfn2pUrHiUJBGPQ8IoZdgriVoGXAqqYTCRKOBzyhXtz8IepfS57c/kqNDrDnaLw8BMFr3UMlvpG9gzmqBQujYyqlEWA7ySEC4jE73MCdUkJ7nsT8mSz7yOHTu21G95WdIW9vDqNQ0cmkiztiVAV62H3SMJPA6Jdc1BZElkZVOAoEchmdcZmMkQzRaRRRGfU6Jo2INTQVfnnXh7gLOVDt2KVO5dD7kVezUUuwzRwhZgkUQRVTcZLK0O6oZFpqghlG8Vi1i2iCyJRDJFnu6L2PvX7cFS1U0USaRoWLxqVT3RkieqZljU+Vwsb/AhYIveHYvkUCSBt21uoznopspCmoIu7ljTSO94iqBHWaDQWqXKhUIUBT54Yxe3r2rgL365j2eORvjG40f5+a5RPnPnau7e2HJOy4z//blB7t87AYDbIaGIduuJphvkTmhXlARK/eoWhrmw7/ZEBOC6nho663ysLVk6ve+6TtIFnccOTpXHwO46LzetqOfOquf3klDQDH704jCJnFYu7c2pOsm8Sv5UqoRzELH7CY1ShvXEyguXQyTkdXDzinoaAy42tNnnN+iWeLh3hmxRZ0NrgA9c31me7AvC8RLiO9Y0cP++CXKqwbXdNQvKfKucG954VQtP980Q9jowLVvIbjpVYOdQgkxRJ+BS2NAWwrN7jIJqlFsqXmmKL2AvGmztriGSKdIUcJVF2SRRRzdNDAMKWDgVO8C3LFvYsM7nxO2Q7Kod3SRd0Am4FXrqvDgVkZ4GL6ub/QzMZHDKIqub/Lgdtjf9rate+VkuCAKvX9/EowenMC141eqGc6K7kVV1TNlAEEz6K4ijOSSJJr+LRF5FEARaQpUXLV+ztpFHDk5jWhYrG3ysblrYp768zst4wrZzc8kiyxsWVjB11/nwOWUyRQOXIrK8YeFiwKvXNPLdZwYZTeRLor8Lx2BZElFEkVReB8si7HXgqmAxt6E1xGSySF416K73VrShe/uWNh4/PI2q29pT79jUtmAbtyKydyTJeDKPQxIrVlqEPPbi5GSpnL41VHnuOxLLlRcLx+L5imr42eL8oC+SLlZ8r8uZG5ddPtaeLhGSZ/ke5zx9YhgG+/bto7Ozk3C4quw6l6vaQlzVFgLgdetsH/mCZvB3Dx1m/1iShoCTv7hrLWGvg8cOTbFnxD7dqm4wErf7ziOZIn1TKYq6vdJn2x/Z3pTZokGmaOCQBJI5DQs742BaJgXNwq2I/NEPdjCTsUVjNMPCNE1bKd+tUOeze4SmU0VMy8CyLFwOCcO0H16zVQGWZVLQDLb3RxiN5yhoJi5ZpN7v5A9uWUbvRIoXj8UAu9LgwFjqpEH8ruE4z/VHccoid25onjfg5VSdxw/NkClqXN0ePmvl1ouV2V7MKlUuRjpqPXz/I9fy0IEpPn9/L6PxPJ/88ct85+ljfOq1K7l1Zf1pBfO7hmLcf/gYDknkw9u6mE4VeX4gSlbV2dQR5ur2EN98op8H90+i6QaqYZXbi06GYYFRWt2c1Ys52fYi8L/vXs2bN7YTKNlNgS2g94lXr+ATr16x6M9S5eT0z2T4l6cGeLY/gt8pc8vKenYOJRiIZPA6JHTD4ltPHC1ZwC2eWp+DtS0BWkNuDoynGE/kyRYNPA4Jj1Oi3ufkfdd1cs/mhZPw//2mV37/hoCLD2/rfuUNqywJ8azKk0dmbD/1ntqy6NihyRQP7psEbAeNlpCbt21uY+9ogp/tGqOoGQsWcCphYVd0PN03TbpgoOkGsZIKuSiUtKUs2zZsMlkg5HVgmBYjsRyxrIpLEQl5HLSF3MRyGj6njEMW+acnjuJzyLz/ug78Tpmcamfp17YEyvO7vqk0jxyc4shUmnq/E69Dpjnknvc5l9X7qPc7uXfPOA/tn2QwkuU1axsrjqnPD0QZjGRpDLq4ZUX9vJ7so9MZdg3FcTskbltVP8+uVjPBKqmlFyv45TYEnKxtCfBw7ySSKPCqk/Qgt5d0JizLXlitJGy3vi3E9oFoWZByTdPCbHWt34HPqZBTbaeBpsDC+WGd38Uf376M+/ZNEHQ7+OjNyxZsY5gWk8k80Ywd3LoVCc00kZkfEI/Fs+wYjGKYMBzL8tk3rV3wXiPRHFi2x7sFDMdzrGmZPy974ViMSKaIVmrneOTgFG/c2DJvm2ReK9nZ2ZUWJ1ucnMkUy9evZpjsHorTUTN/MUMWReY2c1YSv7vcuZzEZBVFYm5D2JmkQJb8CvizP/szNmzYwEc+8hEMw+CWW27hueeew+PxcN9993Hbbbct9S4vK45FsngdEisb/SiSQN90hmu7a9jQGuLwZIaCZpAq6LSFPThliaBHwalIDEWzZIs6Bc1EAApzSpaKxmxpli2eIIv2w2oqrZLMaxT1+eVngmmRztv9Xh5FQjftvi8L7LJ+XZg/KbbsxQRZsEuCDNMiZ1r0Taf5yY5hRmI5Dk6kyGkG9T4n13dXXsxJ5jWeOjKDZdnKxL87MMmHtnUznS6wcyjOjmMxhNJ29+2d4E1XtfD6DU0ElshLvUqVKotjNmN026p6/uWpAb79ZD/7xpJ86Hs7uLarhv/2ulVc273Q77kS33pyAEN0MJku8uThaa7tqeHFgRiGBcPRPL/ZM8axSI50/tSWcSdDkYTyGDiLJNilqi6HzK0ratnSWUe4wgS0ytJgWRb/96l+frFzDMO0kAQ4Op0GC4omVO5uPTWzVks1Xgc1XgevWt3IR27qZsdgnIJmMJ0q4naIXNUe5pYVl0/25nLnvn0T5Qzjb/aM85GbunEp0gL/cb9L5uh0ho4aDw1+J7FskVRhYan27MTYmvP/bFFnPGGWqgaPbztbsCNiB4RFzWA6WUA3LRRJJJ4rAgKRjEoip9Fd68GjiOw4FqPG50QWBb7xRD9/+/arODiRwilLrC31SCdyKj/ZMcKz/VEM00QQIOh2cE1HiJl0kdesbWQ8kcMwKWsygO2h3l3nXdC3fmgyxXP9UXTDZNdwnKlkgXduaUcUBZJ5jQf2TZRLzjXD5J45mWQBoJTwqdRvn8xr9E4kkUURSYCn+yO8p4It7b+/MFxuIXh5JMlLgzG2ds/PRu8eiQPglATymk7veIqrT7DlHI5miWaLqIZJKq/RN72wOiCZ03h+IM5kskAip/Fc/zQdNV3ztjFNk6FYvpxgGk3mSRW0BcHuj3aMlCtY4zmNbz5xlL+4a34g/8C+CWJZFcO0iGZMHtw7yevWzc/+G6ZJPGtXn0qiQCq/UMHeLC0GzT6CxuILe+vBnlvPohkWXsfC6oBmv6OkC2DTcwXqsrxQSgheDqTy8yspzqRRYMmD+J/97Ge8//3vB+Dee+9lcHCQQ4cO8f3vf5+//Mu/ZPv27Uu9y8uKVF5DEIRy38zsoFDvd/LBGzuJ5zR2Dsbon7F76C0LHJKA36VQ1ExE0azYuwOUXrfK9kpAub/mROzeMnvBwLTsSa+AvQqmG+a8XlNREgiX1DRHSkIiAhBNq/z7c0MkckWKum2ZN5Es8J87R+mP5DBMi+t6aljdFCCZ13jxWJTJkkK0INh9/dOpAt9+op8DEymmUoWScJW981/sGiWr6uUsyWSywI7BGA5ZZNvy6qStSpVzjUuR+NNXr+C913XwrSf6+ffnh3hxMMY7//k5blxWyx/etoybltedMjOv6SbHUjmyRR3Tsrh3zwQi9lizZzSBzyExlS6cUQAPoMgiqmHYPfKl/xr9TgIehfawh9esa14gRlRlaUkXNB4+MIVmzvbGAgvjrUXjVkTqvA56GrzcvqqRG5bVsbLRhyAIC8SgqlxazA2EVN2u8nMpEm1hD7etqufgRJqwR2Flo59f7R7jvr3jTCbz5WDyROYG8eV/W5BXzZO6zCiS3Z9qjzn2RqphloJfC1GwSOZUJkv2hvGcRkGzBX7HEjkeOjDJ1e3hefaw06kCByZSZIp2ZlYzLIJuB5ZlB3Y/fmGYw1Npu3XAIRH2OMpzuVwFJfZUXsc0LQ5MpMirBnnVIOx18Lp1TWSL+rye8eQJwWVzwElOcOCQhLJ18FymUwUGIjkKqi0kZ4xXLvpVdbP8pZqWxZHJzIIgXjcs/C67L1wShHk2f7MMRnJkivbnMUyLgdL8di5HZ1L89sBEuU//B88ZvGtr17xtNN3CnKMVZZqUPsN89DnXigWMxBbuL5otlhNcumkRzRYWbBNyOyjqJhlVRxIEvM6FgffcAB6gcJLGZ0dJ7wFKC5QVxBDiJyxSzWQqLwhcziQyCxdKLlVSS9ANseRBfCQSoanJLh164IEHeMc73sHKlSv5/d//fb72ta8t9e4uO1Y2+tk1nKCgGSiSwJqWADlVZ/dwAkGgVF4aZjBqB8HZos7yBh8uRSaZ1/AIMo1+J4cm06hzRg4Ju5ResSycigSWhVBRt5PS6qwtrjL7HDBKpWZBt0Iyp6EZJmIpm+WUJa7tqkGSbAXgrGqgiAJF3SCRs0v3TUARBEzTLgGbHaQPTaZ441XN9I6nyRR1cqrOYNRgeYOPm1fUMxTLEcnag77XKTORzCMg4HfJGJbFRLJQ9tb8xe7Rsmp1MqdxY7M9CB6eTJGdKNBd573gHtdVqlyO1Pqc/M83ruWjN/fwj4/1lTNOz/ZHWd8a4A9vXc7r1zdVtOBZVu+lN5IAwCGJ5DUTSQALs1yGmFPPLIJXRGjyOzF8MJnMYVgCggDLGnxc0xnmbZvaTjkmHJpMMZmsjh1ny5OHZ+Zlms4Gr0Okq85HjdfB2za388YNzSe1O0wXNPaMJJElgWs6QhV7X6tcXFzVFuSlQTt721nrmSeEe01HmGs6wown8jzcO8lQLFvqExaQRTBOCOTtqkNbzVzEHktEAOHkwoiyANqsPZ1QsqIzj8+VBOxKJFkSmUmrSJKAaVnMZIqYpl1W/rcPHuK6nlo+enNPuTVOkUXcikjApZDIafhdEk0BFy5FoqAbFA2jnKDwOWWOTKXxOGT8LpkD4yk2ts/PXq9s9PF03wx51UAUoM7vLM+rGvxOmoKuch/2VW3zy8C76rzkcSKJIq9f37TgO1BkWzjZKGVrJKFyCXN3naecUPI6Zd5coU/9nk2t/MPv+jBM2674nmsWqtzLor2YqxkWkmjv/0TG4rZg8izp4sLgXJbtyoHZeaskMq+NYJbl9R56J+3jFoA/vX1lhWOafwxKhYqFw5NpOwtfWmzpm164GBBLLwz+KyPM+2elXn7TsspVsAKQKyz8Di53PM7Lp5x+KVjyIL6xsZHe3l6am5v57W9/y7e+9S0AcrkcklR9gL4SYa+DD9zQyWSyQJ3PQdCt8IPnh4hk7EB2OJrj3dd28P7rO4llVYaiWfaOJstiISG3jKu0intoIknRsFjV5OeuDU0k8zpht8LuEXuR4MVjtt9kUTPIaSYBt4RoWRR0e6WyWMrSz5Ytgr167ZBFZEnEKYvlYDrolpEkkaBboSnoIq/qTKfVctmYUOoHQrCVSCOlnqWRWL4cwIMtcOJWRD60zS6hG4pmy2VFPqdMR9hTeoAKOGWRZfVeFEkklS+WA3iwLaTAFiB6pHcal9fHyyMJ3r65reLKc5UqVc6epqCLL7x1A390+3K+8/QAP35xhP1jKf74P3bRVevhw9u6edvmtnmlsf/jzjXsn9lbmgRb5DW70me2YihT1BZdZhZwSpiWSUvIzades4KN7TUYQGvIw09fGmYsnue1axuRZbtX+lQl9AfGkzx8wLbwqY4dp0euqPPooSnSBduj/cc7RhAEYd4EtJL9XyVWN3rpqfMymS6iiCKrmwP4XDIdNV7edFXzSas8dMPkpy+NlrOQ44n8vJLiKhcnN6+op7vOi6qbdNZ6F5zfSKbIz3aOkinqTCQKWFAW8FVKmUzDtAcQj0PBMI9n3FXdLFv5ZlQd06Sc7BCwg76wR0HVrdJ8xcIw7N95nDItQRexnEadz4FuWiTzGnnVKKmpC4iiRUEz0AyT7UcjSKLAl+65Cocs0hx0c113LWOJPAKwbXkda5oDaIbJTLrIIwenEAS7SiDscWDV2iJoDllkKlVELVmdzRLyOPjwtm4KmoFYEmKsL7nZyJLI2ze3MRzL4XFICzSI/uruDQykTNrCblY2LqxcCboc1HodmKYtktx8EjeO3/7Zrfztbw8Rz6p8+nWr8HkWjqdvuaaN1Y1+js5kub6nlroKjjvpooFm2skey6ws2HZ1R4iw10GuaC9aVPJRB7vNIluyKvEoEpa1cHzorvczmiigGxZhj1LRc77e70IW7fMhCLYOw4mYWCiyiFW63io5V/hP+E5OVpM2d4FCFAQyxYUVC9uW1XHv3nHbcUMUeMNVLfwKe96fLRVF1FZQ2r+cWFfVi5rHkgfxH/7wh3nnO99Jc7P9cL3jjjsAeOGFF1i9evVS7+6S5uh0hsOTacJehZDbwbFIljqfg61dNeWgvKAZ5QAeYCJZwDAtarwOwh6FRE5FEOzB6pN3rCCSKZLKawTcDtprPai6Sa3XwW2rGums9VLQDNpq7QfkqqYAjx+aRjNMknkNWRKRRIHRWBZZsFc0dQtE0R4cGv1OGgJu0gWN1pD9MOuq83JsJsOe0WTJBkZmeYMf1TDwRnPkVDu77pAkQh6F9rCb4ViemUwRAQHdMFnW4C33+wN01fnKysCdtV4+uK2Lxw9OYwLXd9cQy6sMTGdZ0xzghmV26VbI46Ax4GIqZa96rmz0QclAaPvRCBkrSWvIzbblddWJeJUq55jWkJvPvmkdf/qqFfzbs4P823ODDEZzfPY3B/j7hw7z6dev4lXt9uNHlkW+9+GtfPnBQ+wajmNZJghiyaZSxCGJJXEgKtrugD0+rWn24XHItIc9/MFty1h9goDS2za189JQnGPRPMsavIS9Dg5Npjg6lSGWVanxOuip97G2ZBM0t3fRsmA8UaiOHYtgNJbjX17oZzxRoDnoQjMsUgWNkEdBM0yskv2oIgkk8/pJF2gUEe7a0MJ7rusgkVNZ1RRgKlXg0YPT+JwyXXUeHtg3SWvYzdXtoQV/ny0a88qIT9aLWuXioy3sIVPUefzQNLppsqWrhrqSK4BteZtmJJbHIQvcsqLezmRrJmta/AzM2POOOp8Tn0vm8GQazTAZjeVxyQJtNR5m0kUaLFs7aPa6mBXMEgQRn0vAo0isaPLhkiU6aj1Mp4uMxPIgCKxqClDQDEbjtohaLKsilTSHTMuufLQs22puKlWgvcaDS5F43/WdHJ5M43PKhD0Kj5XmX9f31PL69U101HjQDIs1zQGOTKWIZe3rt87vrNi7XuN18Ae3LmPnUByHLHL9nFJ2RRJZdpKe6Rqfg64KdmizCIKAzyEzZuQRBYGgu3KoUNQNruupoaidXIzSMC1G4gVmMvZ3USmIPzaTmffzbAXBXDpqvHzprRv48Y4RarwO/vyOhdlzhyxyfU8d+8eTYMGKRj9h78JMfCyrlTP0giAwU2HR4NruGl4aipMr6nidMps6F2o5vW5dE7/YNUoko6JIIndfvbDKYEtnDc0BJ5OpIgKwuqnyOQm5FVTdwAKcskjIs/B7+uq7r6E56GLvWIq3XNPC9Y32ksDGjhCDSXvB5cbLrJW0xgWxOZfD5s7Fae1cCoTdEvH82VWoLXkQ/7nPfY7169czMjLCO97xDpxO+0KUJInPfOYzS727S5apVIH79o5jWXYPWCKv0VHj4ciUPajMikI5Syrvs4NMS8hVLkndO5rk6T5bEihbKqmatV8wzAnM0vKzVFKbB7uH9fZVttKoJAgMRnOYli1c113nJVPQ+I8deURRwKmICLpJY8CFblq0hj1c31PLZKrA1q4wjQE3Rd3gF7vGiGVV27bOgtawvep74/I6TNO2hnnduiY8Trvk/1uPH2UskaeoG6xrDXL7qgY2tIbYP5bE45DYfMJgubopsGBCzpr5P0qiwNs2t9I3ZVu7LG/wMTY2BsBAJI3k9BLNqOwZjrO16+wHgbBbJj5HYESpVvhUqbKAGq+D//qalXz8lh5+vmuUf90+yEAkS8jjYG5IHvY62NwZJpHT6J1I4VYk/C655LQhEPY6KeoGHlkkklGZK6jslAWWN/j49vu30Bpy25U/FbKzO4fjbD9qj5dHptIkcxrP9kcZT+QZjuXoqPHQN53B45DoqvPSFvZwYNz24RWE4+NalVPz9NEZMkV7YjKRLNAedpfcTKxyGbLXISFJIj6XQiRToKAdF19tCjoxDGgNe1jW4GVtS4CAS2EqVeD5gSgeh8RILM+RqTQdNV6OTKVxSGJ58WUWn8sOlGYFwtpqqufvUuLePePlYG44luPD27pL4nIqu4YTWKXM5YoGP3/7jo3z/tYwrfI8qagb7BtL8sDeCXxOGUEQGE/kbW931UAQBMIehbawh9FSQB9wy7SG3PzPN6y12w+BH+8YtsvlFYmAWyHkkREFgRqvg2ReRxQssqpBUbd7+EXRXkjyzOmT9jnl8vzmX7cfK1+bv90/ycdu6ZkXoFzVFmTnkN1WcOKcaC51PmdZ/X6pyBR1prPFsmjwyXziH9g3yUgsV97mw9u6ygmYWX61e4yf7hzBsuDxw9N87k3rFgiyBdxKuTpHAPzuyhVSNyyr44ZXsBj7/Fs28OOXhjFNi3dsaUcUF07ONneGSOZVdNMi6FIqZndXNPi5fVUDqYJG0KWwrH5hxUJr2MM/vPNqnjkapTnoqngeBEHgHVvb2X40giyKvP4k5+quDS08cnAKwzTpqPEsnPOW+P/uPD75HR0dBeCv717PU4NZXIrI3Seo41/qNIb8ZGYytruWILDyJN/LpUjY4yCeP7vF5XPiT/D2t799wWsf/OAHz8WuLlkimWJZHC6r6uTm9PfMXRUUBIG3bWrj5RG7J35uxmG2JP3436ksLzmBvHpNAw5ZJFPUuKotVJo0H8eyLHonUnSUbE3yqm5bnAhw1XiKwWgOy7JoDCi8aWMzBc1kMJrD65S5Z1Nb2Q9zMJJlRYOPRF7DsqDeZ1cAhDwOblpeh3KCHUTQrfDuazvYPRLH45C5ZYVtR1Xvd3L76so2JovFKUsVrdncigSyhCwKTKQW2590arZ01vC7Q9Pln5fVVSeIVaqcDK9T5vdu6OL913XyzNEINyyrZWpivPz7kVieSEZleYOPiWQew7LoqvPykZu6+O3+SWbSKjetqOOloTj90xkGIhmSOY2AS2ZjW5B1baGyRdPJODHbMtvLmSuVXs6WVEYyRbrq7OBRlgSmUgW6ar0n9fetspBGv5N03m6D6Krz4nPJHJnM4FLyJLMqHqftud0acpEtGgzHcnTWebh1ZQO7huw2r/YaD4ZJ6Twr856ZdoXX8QzGic9CsBd2376lnb0jCWRJrJitr3LxMrekOls0yKkGQbdILKtS53NS0IwFfcuzzNXecMoSWzpraPS72DkUx6WIvO+6Dl44FmU0nqerzkv/dAbNsMeclpAbp2x7fjvnBKQeh0xj4HhJ9bVdtXTUeJlMFXArEllVR8R2GKIkTrym2U9eNaCCnEZ2zvWrmxZFzZwXAHtLNowXBotar4N0QUcQoMZbuUR77pha0AwyRX1BEL9nNFG+b4uayZ6R5IIg/q2b2tg5FCeZ13A7JN62aWFGe7HU+Bz80W3LT7nNH9++nKDbQTRb5NVrGirqnWzqDDOdLjKWyNMe9rCxrXIZ98qmwCkDy5xmICBw03L7XFbq5Qf45B0r6Kj1kC5ovH5dE8EKrQkno9bn5IM3Xqhr5dzylqub+dfnhyioJsvqPZeVCG2N18FA9HgQ73OcfjZwSYL4r3/963z84x/H5XLx9a9//ZTbfuITn1iKXV7ytIXt8qqCZhDyOOYJ7ixrmD+guB1SuWx8Lj31PvaNJbEs+6E1VwnVpUi8Zm3jSfcvCAK+UmYcIOhx8JZrWlEkkYBT5rmBGFgWfrcC2P1WH725e0EWu7PWvqkOTabxOCTeck3rvAddJbrqvHTVnT+RKEWWkBQRWRTOeqFglndf186ukTgF1UCWRd59XdVHuEqVV0IUhYoTU7/LfhR5nTKvWt1IQ8DJ2za3EXApXNNxfMxpDbn5x8f66K71oocttnSGqfE5efPVr5x9WN7g48hU2nb0kEWu7QrzUO8UNV57MlfjcaBIwrwJ3cpGf8We0Son56bl9TxxLIPbIbG8wc+br27h6HSGRw5OMZkssHc0ic8pEfLY7QsfublnnkZCT523bCMUcCvlPt/ZkuSCZhD2OPA47CBIFOY/++bic8qXXXnplcKyBh+HJ22rsaagC3/pGtnUGebnu0ZxlsrLF1te217jmbfQ96aNxwPFZF4jminSGHDhdVaeFt+4rJbpVIF0QWdZg481zYFyBjfscZSPdVmDD6mU/RUFAe9JvLy3dtWUK4NWNfkJei4eq9y2sIdbV9bz/EAMUbCrHCuxvMHH/jFbub7O7yTkXvgZuuu85e9GEoVyq+hcNneGee91nUymCgTdCq9d4sqCE3E7ZD52S88pt1EkkTctQVbb55BpDrqYKFWVnKzFweuUeX8FG78rnY5aH+/c3FH++USryUuZP759OR//wS5bkFOAV69u5OBpvodgWdbJWlkWTXd3Ny+99BK1tbV0d588mBEEgYGBgbPd3TkhHo9TU1PDgQMHCATOz0pPMq8xErNLS70OmbFEjhqPk5bTKNucShaYzhRoDrrLPWOLJZIp8nx/FMO02NpVM2+/M6kiggi1Xgcz6SKyJFJzChEoTTeRJeGUVlLnm5GREW688Ua++YvHGc7YD+FrOk5elnY6WJbFk0dm2D2cYFWjj9euayr31FU5N8yez3379hEKhS704VQ5S048nwcnkhycTON3Kty0oha3UvlhPZ0sMJHKs7zBj6Ok43EydfITGY/nieWKtIY8hL0O4lmVsUQO3bCQJYGWkOeU41yVkzP3fAYCQQzTmqfonCjZcOU1necHojhliWs6whUD8GORDDnVoLvOi2dOEJTK6wzHMgTdDlyKxGQqT1PAXQ70qywtF3LMNU2LozMZDNNkeb1/3rU0Gs+xayhOS9DNlu7z1yNrWRaaYeI4QTncsixm0kUkUcSpiGw/GiGr6mxoDbLiFJaHsayKbpjUl2x1zzWncz4ty2IikUeRpZPeX5Zl0R/JoGomyxp8Fd0fVN3gNy+PM5kqcE17iG0rKmeMi7pBLKMS9Cjz7vnLAU03OTqTthcx6v2Lfl69ElfCnCiv6TzTFyVd1Fjd6Gdty+UlbPfCQIT7906woTXI61aFWLduHbFYjHB4cbHKkgTxs2iaxh/8wR/wv/7X/zplMH8xsmPHDq699toLfRhVqlSpUqVKlSpVqlSpUuUK48UXX2Tr1q2L2nZJlrv+/M//vPzvH/7whwiCQDC4cLVEEAS+8pWvLMUul5zly+0empGRkVfMxKcLGruGbcGRTR3hssrlQCTDfS9P4FRE3rW1nZDHwUgsx29ePt77WeNTeM+11ZKZ88Ho6Cjr1q1b1DmtcvHxj48e4YkjM2iGxYbWAO9c6+WWazdVz+cF4sBYkicOz5R/7qrz8IarFl9uaBgGX3v0KMOxHDcsq2Vbs1i9Py8jLvXx1rIs9o4mmMmodNd6WHaKDOr5YiKR5xe7xso/+922tsS+0QRT6SKdNR5WnEG7RzKnsXskjigKbO4In7SE/HTO6a92j81zAAh5ZKbTKm1hN2/b1FoWGFN1k11D8XKmuuEV2u+qLB2z5/PnT73MvmmNpqCTd2xqR66gfL9U3PvyGC8ci1HQbLvJN1/dWrUJWyJmz+d/+fZDHIrqSKLADctq+fTrqk5glyKpVIr29vZyPLoYliSI3717d/nf4XCYH/7wh0iSxKpVqwA4cuQIkiSxefPmpdjdOWHWwz4QCLzyw+rAINGMrawcU9N88MYuMgWdrz91iGxJlTe2fZwvve0qelxe6oZzZR/0tZ3hS3KCcyky+z0v5pxWufh4eijHZE4ABJ4dzvOhzbaeQfV8XhhWSS52TRZLnsiwrqvhtM7DF+7r5XdHbbX3I/FpXFvscrFzeT53Dcf59hP9vDySwCGLvHp1A3/66hWn3XpU5ZW51MfbXcNxXhq3hbqG01nqasKvKJZ4rnF6vDQM50iVtGvWtgcZTJm8OGb31w6lstSEQyfVBKiEYVr8dO8gqbx9H6f0DO+9rqPitqdzTtd16URVu8d7Jl1gZ38aSRTpjWi4vf7yPh7YN8HhiP15JvIpPnhDzUkXEaosLbPn8D92RZBcHnojGqIjysduWXbO9mk54kwVEoBINgO14RCBwIVfILscmD2fL4zk0ST7mbZ9KMffXILjb5XjzMaji2FJRs7HH3+8/O8777yTRx99lNe+9rXccMMNeL1ecrkcP/zhDy/JB/uJqLpJdI5veyyrUtQNptIFEjmNTEnNczhm97y4HRLvuradw5NpvA6ZNc3VwatKlcVQ1AxEQcC0LCQRhqo+zxeUGq+Dd25p51gkS43XUVGg6FQcmc5Q0IyysFzvePIcHamdVf3mE/185eHDmHMaxv7tuSHu3zfJv354a0UniypXLtNznEssi7K/94XEKUu8a2s7BydSKKJApqjz2/2TFHUDn9OuAJxKFU4riM9rRnlRAGA6XcAq2f+dLumCxo7BGJYFW7trCLhsS7+XR+Jl9wewNQ5mmZrzPRc1k3hOrQbx55mcqqMZKrIkcCxS2T5uqfC7ZFY22ir9Ya9CUTdf+Y+qnBaiYJX+b8+bqlw5LPnI+bvf/Y6mpib27dvHvn37yq9rmsZ999231Ls77zhkkbawu+wn2hp245Ql6r0OcqpRtilqCh4vEQu4lCXxJq9S5UrC71bK1lEWnNZEtcq5od7vPGMRMY9DKmfxDQuu7VoakclKfPOJfv7uocMAvOXqFj5wQxepvMaXHjzIkakMH/juC/zmT2664EFalYuHrjovBydsFW1ZFMr2qxcan1Nma1cNv90/wcGJNOmCTv9Mho1tQdwOmc7a0ztOr0OiKegqe7B313nPWFTtl7vHykmNkViOD97YhSAIBFwyTx6eQS+toF3Tfvxe767zsns4AdgBXrUq5vyTzGtQEo/zORef9TsTuuu8DMxkwXt8/lxliRHsdgjTAp+ruiB2JbHkZ9vtdvODH/yA2267bd7rjz/+OHffffdS7+6cUtAMnhuIouommzvD5YfNW65pLdtqtIXd/K53ipyqc3VbgP0TaRyieFJPySpVqiyOG7tDjCdyaIbF1e2hi8r54HJB1U1ePBYjU9TZ2B6kObh0E6xYRuX7LwxS1EzuuaaV9a1BNMMkUuo5XtF4biqzHj80XQ7g/+Ku1Xx8Tqno5q4w7/uXF9g3luSTP97Nf/7BDVVXiSoArG4K4JIlZjJ2r/nF1KsdzRR58sgMuaJBa9jNykY/61qCbOmqKScMLMti13CCmXSBnnofnbUeXhiIkdcMrm4Pla1fBUHgnk2tHBhPIQkC61pO7z4cjubonUjic8rMpIuIpXE5ntMo6rbX+ermAH/5hjW8NBSnp87LTXMUyW/oqWU0nieR07h9VcMCX/HTJZnTeHEwhiTCtd21l5UF1bmiu97DUAqCboUVTadXUXW6rG8JMjCTZTSe47qeGsJV948lZ1N7gBfHi0iiwHU9525xvMrFx5KPdm9961v58Ic/zJe//GWampro7Oxk586dfPrTn+aee+5Z6t2dU+7fO8FwzC41Goxk+dC2LpyyhCKJXNMRxjAtvrf9GOmCjmaY7B1LlUXuknn9Qh56lSqXPI8fiVLU7MztrqE4xqbqwthS89ihqXL2sX8mw+/d0Fkew86WL/32IMNRe/w8NJni7o2t5Ux8nc+B37X0GaBIpsh/++keAD50Y9e8AB7sqqhvvm8Td33taXYNJ/jRjhE+UPXmrVKiq85L10VW8aPqJj/fNUpBM5hMFchpBtd113DH2sZ5AfCu4QRPHbGFJw9OpAl77NJ2sO/tD93YVbbucsoSm87AbjWaKfKrl8cwShn2vGaUfdBbw+55x7O2JVjRDurRQ9PMpO0Kq98emORDwa4zLqc3TYuf7RottweMJwpVr+1F0D+dRXR6iOdU9o+meMc5lKt64ViMYxG7teKZvghtIc+8StUqZ89LQ0kMyYlhWjzdF7vQh1PlPLLkQfw//MM/cPPNN/Pud78bsFd9FUVh5cqVLFt27sQzzgVT6eO9W4mcxoP7JvE4JLZ22auJec0gXbCDdd208DplOmrcyJJ4Ua3iV6lyKaIapt0Tj4UsiozGC6/8R1c4Rd3ghYEYOVVnY3voFTPrU6li+d+qbpLIaUsWxM+W6wJkiwZXtQVZ3uCjqJusawkQmZpYkv3M5e8fOkw0q7K6yc9n7qys0Nte4+HTr1/F//71Af7h4cPcvbGFoHtpPnOVKktNpqiTLRp01HhwSCJT6SJ1PifZoj4vaJ7b0w8wFM0RKF3XRc0kmdfO2n87mlXLATxAT523HKivbV5cRn9uT7yqmyTy2mkH8f0zGY5MpvE6JZI5tVylFckUMU1ryXy4L1d8Lpm8BQ5FQjXObY/6dHq+1sRMulgN4pcYUQQEEBHQqpoDVxRLXkf4N3/zN3i9Xh5++GHcbjf33XcfsViMz3/+8/zyl79c6t2dU3rqjpcZHZ1J8+uXx/jRi8P8y9MDGKZV7i0DcMkiXbVeWkIeGvwultVfXKv5VapcangUmYJuoOommmHSWXdx9KhezDzSO83OoTgHJ9L8YtcY2eKpK4J65oxTfpd8xv3uswxGsnz/+SH+44VhOub0PjYGXLSFPaxvDbK5M3zWJbSV2D+W5CcvjQDw+besP+U+3nttB8sbfMRzGv/27OCSH0uVKktF0K1Q53MAAtGsitchcSyS5ee7RtHmBGA99T6SeY29owl6x5N0zOmVD7oVar1n33veEnLjdhy/r1Y2+rm6PcTV7SEci7Qpa/S76B1Psmc0QU7VS59t8UylCty3Z4JDk2l2DsXJzxHy6q7zVgP4RZAtGljYImiBs2g/iGSK/GTHMN9/bpC+qXTFbebOo6s98ecG07JQdZOCbpyTZ2uVi5clz8T/6le/4ic/+QnXX389kiSxevVqvF4v69ato7+/f6l3d0557dpG2sJuirrBzqF4+YG5eyRBMqdS43Nyz6ZWesdTyKJIT72Xw1NpHJK46FXpKlWqVKYl5CJZUDEMi6agm7xWXWF+JeZmPRaT5bppeR31fifZosGqJv9ZTQBU3eT+fRPlkvmOWg9bu2vJawZ3rW9a9CT/TPnKw4exLLh7YwtbXkFIVJZEPvHqFXziR7v53vZjfPTm7rPOUlapci6QRIF3bGmndyJFLKsS9tjZ9WzRIFvUCXnsIHhZvReHJFLvdxJwKxQ1g9evbyKnGqxu8i/J/edzyrxnawdHZ9IE3QrLG07fbSdT1GgIuNAME0USyasGTnnx485MuohpzVYDCKxq9LO80Y8oLL4a4Ern5hV1zBRFAi6F1aepiTCXB/dPEim1Rjy4f5KWkHvB82ZDWxCfSyaWLdJV6632xJ8D2kIeZlQRSRBoCVaFIq8klnzWMjMzQ0NDw4LXs9nsooWpCoUC7373u+nt7cXtdtPQ0MC3vvUtli9fzvT0NL/3e79Hf38/TqeTb37zm9xyyy0Ap/zdmSCKAutbg1iWRXCOUrZHkVBKD0SnLHHNnN6yM+kzq1KlykKCHgetITub5FYkXOc4CLwcWFbvY+dQHIBAOYN3cgRBYHXT0kx8NcMsB/AARd3izVe3nBdBwt7xFI8fnkEU4M9fs3JRf3PX+ib+rsbNSCzPT18a5YM3dp3bg6xS5QxxKXYP+1SywKFJO+NZ73fOa33RTQu3Q8LtsDOdBd1kVaN/yTPTQY/C5s4zd9vJa+Y8RfqcahA6jSKr9rAHhyyWx5qVTX6uagud8fFciTQEnDQ57CqsuZny0yU3p9LLMC0KmlFx0bi7zlt1lzmHBDwybp993wc91UWSK4klnxVv2bKF+++/v/zz7ATuO9/5DjfccMOi3+fjH/84hw8fZs+ePbz5zW/mox/9KACf+cxnuP766+nr6+N73/se733ve9E07RV/dybkVJ3HDk3x0IFJXr++kZ56W/TmrZtal6xvtEqVKpW555pW3IqELArcvKKOurMs9b5cSRc0ftdrj1PrWwLctaGZW1fV8+6t7aeV4TpbvE6ZtXOyOps7w+fNUeBbT9pVXm+4qmXRwmSyJPLRm3oA+OELQ1iW9Qp/UaXKhWVTZxivU8LnlHjDhiakOQG6S5HY0HpcSG5TR/iiLC23xwX73+01nrJq/mIJehTee20Ht6ys5y3XtJ4ygN8/luT+vRPsHIpX7+85bOmsQZEEOmvtFqczfp85NqHLGnzUVLPsF4TbVjYgiwJOWeSt17Re6MOpch5Z8kz8F7/4Re688056e3vRdZ2vfe1r9Pb28uyzz/Lkk08u6j1cLhd33XVX+efrr7+ev//7vwfgP//zPzl69CgAW7dupaWlhSeffJI77rjjlL87kWKxSLF4XNQplUot2Ob+vRNlP3i3Q+KPb1+OJArohsn3nx8C4LaV9RW9hg+MJ9lxLIbbIfGatU3Vwa1KldNk90iCsXgezTTZO5rgtvbaC31IFyW/enm8XNI4Esvx4W3d8yb35xOPQ2LfWBJZFHjV6vpX/oMlYCKZ5/694wD84a2nJ5761k2tZe/4XcPxs8owVqlyLtk1FOdbTxzFwq64+V3vNO/c2j5vmzvWNrK+NYgocEpx3eFojiePTIMgcPuqetrCS6s3YlkWT/VF6J/O0BBw8pq1jeUFxfWtQVpCbvKaQZ3XwSMHpxiL52mv8fCq1Q2LGrvCXgebX2FOdXQ6w+96pwA4MpVGFgU2tofO+rNdDvz0pVHSpoxbkQi6FV69pvGM3mdzZw2dtV5U3aQ56Kq4aJtXDR7unSSWVVnV6OfG5XVne/hVTmDvaIKxhIYsiuweifOqMzyfVS49ljwTf9NNN/Hyyy+j6zobNmzg4YcfpqGhgeeee47Nm8/Mx+JrX/sab37zm4lGo2iaRlNTU/l3XV1dDA8Pn/J3lfjSl75EMBgs/9fe3r5gm5nM8SA/rxq4FYmmgIt7904QSReJpIvcu3cc05y/wpvMazzSO008pzGeKPDQgckz+txVqlzJ3L93nJxm2zfuHEowFMte6EO66LAsi+iccSpd0CnMEXo6n2QKOv/8ZD/Zok4yr/H1R4+el/3+545RTAuu76mZVwmwGAIuhTde1QLAf7wwci4Or0qVsyaWVXnowCSpgk66oDMwk5k3P5lLU9B1ygDeMC3u3TtOJKMSSRe5b+/EkmepD0+l2TUUJ5nX6JvK8MLAfNurGq+D1pCbfWNJesdTJPMa+8dssbulYtbG7mQ/X8mMJ/IUNJN4TmP70chZvVedz0lLyH3SqqvtRyMMzGRJ5DReOBZjYCZzVvurspAdg7ZmV17TeXB/Nd64kjgnSj7Lli3jX/7lX5bkvb74xS9y9OhRHn30UfL5/JK8J8D/+B//gz//8z8v/5xKpWhvbyeWVXng0DB5zcAhiWWf6jq/k5DHgWFa5dfAtm4xLAuR4wNYQTPmCK/YPV9VqlQ5fbJFHcsCz1ko6F7OJHIaU6ki44k8zUEXmzrCeBwXRp02p+poxvFxL68ZmKaJKJ47LQPDtPjJDnuh9j3XdpzRe7zn2g5+tnOU+/eN81dvXoeveq1VucjIawYOWcTrkMmqOpppsaz+1L3Mk8kCjx6aQjcsti2vY3mDvb1uzteusOcrIC1h8c6Jc56TzYGyJ7yeX8K5Uk+9l5cGY+imhSDY5d5LhWVZPN0XoW86Q73fyWvXNl5SquAZVaeoFpAl4ZyPdzltcddClTPHtKyyPoFbqT6/riSW/Gz/3u/9Hrfffju33norPT09Z/Vef//3f88vfvELHnnkETweDx6PB1mWmZycLGfcBwcH6ejooLa29qS/q4TT6cTpXNhj+9jBKZKG3e8uANuW1+KUJVY1+UtlXgKbOsPsKolHLW/w8kjvFKIocMOyWgIuhXqfk5BH4YWBKKmCznXdNRydzpQfolWqVHllWkIu+meymKZF2KPQHKha05zI73qnqPc5ELAAgdtW1y95H/pILMfe0SQep0SuqLNzKE5zyMUHb+iep3jdEHCxuTNcFta7fXX9OQ3gAZ7qm2E8WSDkUXjduqZX/oMKbOoI0V3n5Vgky+96J3nrNW1LfJRVqoBpWrw4GGMmXWR5g481p6GkXu91oOomsixQozhY0ehD002OTKVZ2VhZIf7+fROk8rYm0IP7JvjYLT24FAmnLHF1e4iXRxKA3Tt/Ou03AzMZeidSBN0K1/fUokgL7/FVjX5eHk6QzGs4ZJGrT1LGvqE1yMGJFHnVwOuUWNcSIFvUebY/SrqgYZgWPqfMlq6a07a/bAy4eNe17YzG8zQFXLSElu750TedKY9zqbzG8y6Z21YtFHS+WHGKAjndRJEk6v1n7tmeU3WePRpFNUw2d4Yr6htc0x5iOJpFMyxqvI6LYh6s6ibPDdjX2IbWIJ21l7bonschEcsaCEBjoNq6eyWx5EG8w+HgS1/6Eh/5yEdobW3l1ltv5bbbbuPWW29lxYoVi36ff/iHf+BHP/oRjzzyCKFQqPz6O97xDr797W/zuc99jh07djA2Nsatt976ir9bLHnNANEO4i2gs9a7YGC6dWU9a5r9mCbcu2ecTGkFbDpd5APXd1LQbesXC4uiZtA7kQIE3nNt+ynL3KpUqXKcI1MZJAEkSSCe15hM5C70IV105FQdQRDKEzHDXNqy2FRB49cvj6EZFhPJPLuHE9R4HRwYT2Ga8Acn9KD/f69fzf6xJA5ZPGlwsZT8bOcoAG+9pvWMM2GCIPCmjS18/dE+fvPyeDWIr3JOeGkoznP9UcDu1/Y55Yp6OpXYPhDFKYu0h91Mp4rkigZHZzL0RzL4XTLNwYUB6ty2Gt200AyzfI/cvrqBdS2B0tix+OA4kily756JcqWhZpi8avXC/luvU+Z913cQzagE3cpJbS5rvA4+eEMXsZxKrdeBS5H4yY5hxhMF9o0lKeoG17SHGYnbWh+VFgxORYPfRcNZBKkn48SKgaWsIDgfyJJInduJLAqMJ8/8uTpXN2oomuPD27oWjMPtNR4+tK2bVF6jzuc851aji+GJw9McGLd1sAZmsnzg+s5L2vouki6iyPYYMBCpth1eSSz53fSd73yHI0eOMDIywt/+7d/i8/n4yle+wurVq2lrW9zkaHR0lE996lMkEgluv/12rr76aq677joA/s//+T88++yzrFixgg996EP84Ac/QFGUV/zdYpmrnNpd56XeV/kB1+B34XPJ5QAeIJZRsSyLVN4uKzUtAVkSyal2eX00q57WsVSpciVjmBaSKCCJAqIgkMzrr/xHVxhbumrK41VnrYfGJZ6wJnNauUQ+kdNQjeNluGOJyu1N61uD5yWAz6k6jx2cBjhrRd67N9p98U/3RYhXx+kq54DICT3sJ+tpr/i36SKCIOBzKqXeVztotCyIZipfr1u7jos0rm0JLHDUaQi4Tju7Hcuq81oFI+mT3ytOWaroG34ibodEa8hdDv4ipc+TU3V0w0I1TLJF46Iqw17Z6Cfssb9PhyxydUfowh7QaeJ22hUZiiSdlehyZM61V9CMefPhuficMi0h90URwMP84zZMi3ju0h7zRUEoz5XmPKKrXAGcs+aJcDhMbW0t4XCYUCiELMvU1y9Orbitre2kQiuNjY08/PDDp/27xbK2JcjqjkYKmkmD33lKixZv6eEzO5ld1uBFEARqfQ5qvPZ/qbxGjdeB2yHRFq6WA1epslg2d4Z58ZgtiFTnc55W+emVwvrWIG1h96LGqzOh3u8k6FZI5jVagi4mU4Xy7+baC10IHj04TV4z6KjxzLPWOhOWN/hY2xygdyLFA/sneN91nUt0lFWq2Cxv8HFkKo1l2YFf12mU8K5o9Jczni0hd1np3amItJ9EWf7a7hqW1XvRTeu0bdxORmvIjdcpkS3aAfXyxqUvjV7e4KN3PEWt10FeM3HKIs1BF/6LSKvC7ZB473WdRDLFU1YaXKxc0x4mjwOnLHFDz5mrxa9o8LFvLAnYz4rwJeJRvqLRx1TpWXaySpZLifYaLxHVXiDZ0HZ2z8IqlxZLPvL8xV/8BU888QS7d+9mzZo13HrrrXzmM5/hlltuIRy+sJO+xRKqMBClChrPHo1imBatIRf375sA4B2b21nbEkAUBFY32dknRRJ519Z2jkyliWdV8ppBNKPy/545RluNh00dYboX6WVcpcqVyodv6GR7XwTVMHnnlja8rtOrqrlSqDRenYq8avDX9x5gLJnnlhX1fPTmytolw9EcL48maA662NAaJOx1cMvKLI8cmqKnzssbNrQsxeGfMfeVbOXeeFXzkugA3H11C70TKX7z8ng1iK9yVuwZSTAYzdIcdLO1K4wgCKxs9ONxSEQyKh01nlfMgCZyarn8/vqeWu7Z1MpoLM9UOk+maNBV6yXkUXiybwa/S+bGZbXl4H6W2pNUEqYLGs/2R9ENi63d4UWXnHudMu++toNjM1mCboWuM5jHFDSDe/eMc2A8xeomH+01HiIZlfYaD9e0hwi5FVyKyA3LaskUdCwEbl5Rf9F53jtkcUn77M8n797aQVSTqPE46KitvAg0lSqwYzCGQxK5cXldRQG8V69poL3GQ1E3WNnor6itoOom39t+jPFkget7arhzffOSf565JHMazw1ESo4ltRXvs41tIfqnbYeHG5bV4r5AYrBLxevWN/Avz08hifD+6xY6bVW5fFnyIP7LX/4y9fX1fPazn+Wee+5h5cqVS72LC8Kv53gxf+2RI4Q8CoIgMBTN8e33b1og4ORSJK5qC5HMa/z7s4Mcnkozky5SO5lmLJ7n/dd3Vr3jq1Q5BR/7wS7SpfK8//v0MTbXVQOrpeCvfnOAp4/OAHY/YGeNh9ecIAqXzNu98Hqpx35lI7SE3ewdS1Lvc5EuGDw/EGXbBfL8TRc0Hj9sf4ZZi7iz5Y1XNfPlBw/x4mCMSKZI3UkCoCpVTkXfVJrHDtltHgMzWRRJ4JoOO4HRFvYs2pP9F7vGSJaE6caTBX5/WxePH7Kta8EOVkzLYlYGo6gZvH6RAdK9eybKmcjReI7fv2nx/eYBl3JWfuv37h3nl7vHMEyLXUNx6vwONrSGGJjJMhjJMhS1e7R3DE7TGrIXO+7bO35ax1jl1AQ9Cu2Bk1e2FXWDX+waK+sqxHMq79q6UCRaEARWNZ26der/PXOMxw/b98PhyRQNflsA9Vzxy92j5XtkPJHn97d1L1gAevzwNBNJ+/p/9OA0LUH3Jd0T/4+P9YNiLyh98sd7efmzZybyWuXSY8mD+N27d/Pkk0/yxBNP8JWvfAWHw1EWt7vtttsuyaDesixipR4aVTfJqjp+t4Is2MrNH/reDpyKyN0bm9k5lMStSHxoWxeNARfJnIZuWuV+rpxmlHtwqkF8lSonJ13QUUv92KJpcWAsfYGP6PJgOJ6joJmYloUsCjy4f5y8bnJ1W6iclZkdt2aJZovEMiovDcYYjuXwOxXaL2B70GOHplF1k556L2ual6b/vi1sl+XvG0vySO8U7z5Dy7oqVzaRE3rUoyWtnJ1DccYSedpL1XgnUtQNnj0aJV3UWdPkLwfwYCug5zWDmUyR4WgOzbTQdRNBAJ9Lpi3sWbDfUxGd04+fU+1+86BbZDJZyr7K4jlboBuOZolkihimhWXZgnsOKUXArTAWz9E3ncGliJgm5D0GeG2r0ScOTZPTDFY0+FnbUm2tOpdkiwbD0SwHJ1PIojhPX2H+djrbj0Yo6iZbu2poCi6s6BiJ5xhP5CnqJkG3zHA0d86CeHtuffy+secQJi5xfqY9WqEn/lIO4jXdxBLt57WlVrWDriSWPIjfuHEjGzdu5BOf+AQAe/bs4atf/Sp//Md/jGmaGMbFI06yWOxSOB+HJtM4ZJGOGi+GaWKYJmOJPKmCvSL+XH+MdaWHy3S6wFfeeTUNAbuntM7nIFvUqfU68LtkWi7xHpwqVc412hyFFtOC9nDV2WEp6Khxs280AUBRB8OE/ukMQ5EsH9zWRcCl0Bg83gsPsKLBT990mr1jSSzTIp5V+V3vFG/fcmFK954oZeFfu7ZpSS31Xr++iX1jSX57YLIaxFc5I5bVe9k5FEMzLERBYEWjj/1jKZ7uiwB2dt6tSAs0Ph4/NM3BCXuhcjCSpTHgZCplB9tddR48DltIdzpdRNUNknmdpqCLVMGetN+8YnGaQ2D32B+csNW5W0J2v3lBM/jF7lGKmj3uJnMaNzYvfQm7YdjJEM2w/xNEgXhOYzKVJ1MwyGsmYOFSpHLGP68Z7BtLIggCAzNZ/K7FK/tXOX1EwXZTyJUCwj0j8Yrb3b9vgrGSVsNIPMfvb+teoE6fKegkSsJxRd3ApZy7agpJFFje4OPodAaAjhpPRdeSVU2XV0+8YR1XKdeNpXWoqXJxs+RBvGVZ7N69myeeeIInnniCZ555hlQqxVVXXXXadm8XE69b10RPvQ/dNPn4LT08eXiGqVSBwUgfiZxWWlG2MAwDSZIYief55e4xBiMZRMH2cdy2rJYbl9expjlwyffgVKlyrjlR23IkXqi8YZXT4truWvqns8RyKooA8ZxGcTJNY8BJMqcRcCk4ZYkbl9XyyMEpwh4H13SE2PFkDMGyUA0LSYJ0UXvlnZ0DTNPiqSN2EH/bqsUHLovhdesa+buHDrP9aIRUwf4uqlR5JQzT4vmBKJFMkWX1Pt5zbQdjiTyNAReNARdPlMqJZ4lVcECYda8xTIvBSBaXHGBtS4D2sKdcstxZ40HTLWK5Ioqk0lPvRTcsltX7uLbbzpa+cCzKQ/sn8ThkrmoLktcMWkJutnSGywter1vXSHedF80wWdXkRxQFsjm9HMAfP54zbynZP5akfyZDvc/J9T215ZLmhoCTbcvqmMkUSeSKZIsm8ZxKyK1gWgayCBYCnTUe3rGlHc0w6ZtK81RfhJyqU+t1Esuq1SD+LDgylWJsIE3Y4+DGZbXIJ7QpxLMqHodEXjMQBdtuuRJzr+OiZpIp6guCZr9bJux1kFcNarwOCtqZy6cPR3PsHonjdcjctKKuYoD+hg3NHC4JSK48ifDi+tYgfVMZIhmVG3ou/Z74uVRD+CuLJQ/ia2pqyGQybNy4kVtvvZWPfexj3HzzzfO83i9FRPF4709RN6gPOAm4pPJqslXaRpIkDNNCkQQePzTNWDxHMq9R63OyvjXIVKrIlq5LS8m0SpULgSDMD+SbQpduudvFRF41EEWBOp+T8USeeE6lqJvzsiTJvMbveqfQTYvpdJFHDk7REnaRL5Xh66awQETrfLFvLEk0q+J3yktelrm8wc+yei/9M1kePzTNm68+O+u6KlcGLx6LlZ00BmayvG1TG1e1hcq/X97gY+9oEsO0W1iW1S8MLlY1+plOFRmKZknmNZIFjUMTaTZ1hMuCYaubAiTzOgG3jGFCyO1AEoVy6ftILMe3n+gnpxp2CfrhaW5b1cDATBaXLLGhLchILMdIPEdz0D2vnznkcdAYcJUzlKuafMCZLdQNRrL8rneq/H1IosB1PbUArGzyE89pBNwK2/sLJPKlVkXNRDXMsmVmyOsgU9TRDZOMqjNecgFKF3Tki0zk7lLjkd5pnB4fkMUCbl05fzG0we9EN+x2B8OiYrAM9jX78kjC/ptAZXX6sNtBQTMwLciqBu21Z5b1ThXm67TkNYM3bVyohyKKwis62Tx+aOZ4T/yhaZpD7sumvbV6Z1xZLHk0+YMf/ICbb76ZwClEMy51frV7jPFEgVxRx+9SkEUDQRBoDDhY2egFBHTdZP9EinRBx5gddFSDWNYujxuMZNkzmjjlimKVKkvJaDzHzqE4LkXipuV1F70tjigIZU9iARi9xDPxmmGy/WiERE5jbUvgvHipV0IW7R73dF7HrYh01njwuxVqPMezJKn8/J74WFZFQCDkUcirBookXrAxa7aUftvyunMidPX69U380+P9PHRgshrEVzkphyZTHJpIE/Y6SObmB7uRTJHxZJ7JZIH2Gg+bO8O8+9p2ppJFmkOuiqKJW7pqqPc7+fmuUXTDIpHTiGQy/OD5QVvN3mdnsJuCLnKqQUPAyVSySNirlMXyYiU3HADdtNANE900kUSJaLbISCzHz3eNlhdH37SxmeUN9jgkiQJv39xG33QapyyyrN7H2NjYGX030RMqDeZmbG9cVkdTwMVwLMdIPEteNcirOoos0hBwMJ4s4HXI6IZZrriZSOZZ2xygoBk4ZJEnj8xwLJrlhp7akyrwVzk5kUyRdMrErUi01ywMqlXDYnNnmD2jCWRRYP1JNAi2dIUZjGbJqTo3La+rqE6vyPaCcVEzCXgUCuqZtdRWeiadKXN94Q3TIlFBo8qyLHYMxhlP5GmvcbO5s7IuwMVGNYi/sljyWfwb3vCG8r9HR0cB2/f9ckHVTcYTdjDhlAU0w8JZmsymiyY1XhcFzeCpwRkkUUDVTURRQJFEgm6FVU0BknmNe/eMlwekgm4smcJylSqVyKk6v355HFW3g7RMQedtmy/u+1KYUxhmAR2hS7t88um+GfaM2J66g9EsIbdCwxL5N58Ojx6atnttLYtM0Z6wNfhdhD0KDQF7QtwQcBLyKCRKwcmqRj/pgo7bIZcCZ4HmCiJG54MnjtilyUtdSj/L69bZQfzjh2YoaEZ1gbXKAiaSeX67fxLLgmOl/vXZyiGnIpJVdV4atPuIj0WyeJ0Sq5sCr2jl1lnr5VWrG/nNy2Plvt7tR6MMhXN01nqxLItXrW4sb3/i+3XVemkOuhlP5HErEm6vA4ckIokCKxr9DEWz86qbhmO5chAPtm3aupaz95nuqfPy/EAUtSS+t/IEBfOeetta7ne9U+W+a8O0GIrmkSWBTFHn0ESa7jq7YsFRWjQMuBX2jdniwX1TGSaTBT5yU/eS6mJcCYzE8uCABFpZdHkuLkVkKl0oj32zugsn8uC+yfIz4v59ExV74hVJxO9S8LtAlgQk8cwWXhv8Lmq8jnLwfjaL4Csb/UyWMvEBt1LRKnDfWJLtR20di2ORLG5FviQEFavl9FcWSx7Em6bJ5z//eb7yla+QydgPIb/fz6c+9Sn+8i//coEV26WGQxZxOyT2jCTQTVsdOex1oBsW06k8hyaSaCb4nDIrGv0UdAO/U+YNVzXT4HfRVedlJJZbshXFKlUWQ6aglwN4uDSuuaBbIZK1JwgOCYwTm+QvMWLZ49k6y4JYTj1vQbxlWbx4LMZ4Ms94Io8kgIGASxZoC7t5zdpGljf4yiXyTlni3Vs76J/J4HPKdNV5mU4VuGNNA6PxPEG3smg7q6UknlXL5Zu3nqMgfkNrkJagi/Fkgaf7IrxmbeMr/1GVK4p4VpsXDLsUiXdtbefAWIqZdJEXBqKYFuVKkdMZb69uDxFJF8mXnGyGormy1desqrZpWjw3EGU6XaC7zsfVJQG4oEfhs29ay7P9UfwumZWNPmbSKo0BF/V+57xnALBoQa8X+qNkSM3b16kIex2877oORuN56nzOiqrliiRy68p6ckVbQVwAjkxnyosOc+mu9/HatQ1EMypF3SCV14lGs7gUiayq43NWtStOh8aAg+mC3a/uqdAPXtBMVjT4iWVVJFGg3l+52mEimefodAbdNGkJuSv2xG/urGEmXSSvGoS9DpbVe8/omB2yyLu2tnN0OoPXKdNdd2bvYx9TmHqfk1RBo6feW3Gh9sR7dm72/mJDmqNbcA51A6tchCx5EP+Xf/mXfPe73+XLX/4y27ZtA+CZZ57hc5/7HIVCgS984QtLvcvzimVZmKaFUxZxIpLXTFJ5DQsoGhaJvI5lWYhzBr6tXTVc211bfg+7d0gpW2Gsbrr4V/eqXNrUeB3U+53MpO12jtVLZMt1LnHIYllxVRIEOmsri9RcKqxu8jMSsz2QfU6Z9kX6RS8F+8aSPNsfBcC0LPKaiWVZ6IbIDT01rG9dmH1zO6R5rzcEXHzoxm76ptPUeJ1sbDv7jN3p8lTfDJZlVwacK0VhQRB47bom/vXZQX67f7IaxFdZQEetB69TIls0EARY1eTH71I4NJlCMyyyRYOJVIFVjX4USWB5hR74U3FtTw39MxkSOY2JZIFanxPDtJhJF/n2k/0UNAPdsJBEgcFIDr9LLvfZhzwO7tpwfIGtMXD8Pumu8/Kmjc0Mx+ye+FfqHZ7lpaE4Lq+PwUgOn1NmecMrf56Qx0GoQo/0XNa1Bjk0mcYwLXTTJFuyuwN47bpGVjcF0AyT1U1+njlqCwemCzr9M2lAIOwR2DmUWNDTXeXUTKVUcLhJ5XVyxYWZ+KBboS3sLi+mnCwDnchrRObYFborBMNrm/081TdDqqDTVes96YLAYnApUsVn1Zkwa6d6MlY0+ufpWCzmmr9QiKLA7Fl0XkYifVVemSUP4v/t3/6N73znO9x9993l16666ipaW1v5oz/6o0s+iNdNi6Ju0lnrxTAthmM5nLKIZYHPYT9IJVGg3ufgjrVNuB1SecXQLCnYTqYKrG4O4HfJ+JwynbVnvqJYpcpikCWRd2xpo386i0sR6TnNSeWFwClLyJKAZYHHqTCdzl/oQzor1rcGCXls27bOWu951SSYm1UIuhw4pDyGJVDrURiOL/57ba/xXFBV6CfPkSr9ibx+vR3EP3JwCs0wz0nvfZVLF59T5j3XdjAUzRH2OmgNuZlI5tFK9k4Bt0LI6+DVqxtoOQPRrIBL4b3X2e9/z6ZWVMNkYDrDo4emy6J1LSE3PqfMeDKPsk/gQ9u68S1iTFne4J9XQn+6LGVGsjXk5r3XdTCZLNAcdCGJAk/1zVDndXLjHJ/6R3qnygughmnikER0ExyywEy6slbKeCLPjsEYiiRy04q6qtPEHNa2+CkITtyKhN+98JoRRYG3bW7j6HQGRRJPmj0PuRVcioimWzQFXOQ1Y8FzbXt/FEkQaA25GUvk6Z/JnNX1d76Ye22e6h4+PJnmwHiSkEfhpuX1OOTz/6zwOyTS2DZz/moQf0Wx5LPIWCzG6tWrF7y+evVqYrHYUu/uvKNIYtmHUjdNskUdRXJgWRajiTzT6QKGBbesrCPkmd9rs2s4zgslBduhaI43XtVcDeCrnDecsnRJ9HTNksirqKVJcaqg4XZc3EJ8i6Et7KFtaQXVF8XKRj/7RpPopkU0Z5fqmiaMawZjpcnxxc5ca7lzVUo/y9auGmq9DqJZlecHoqflwV3lysDvUuZlBet8Tur8TiKlaqetneHTzhpOpQr827ODHJpM0xJysaWzhvYaD1e3h9h+NFJW1C5otkjuWEmxPZXXeXDfBO/Y0r5En24+Yqnn3CGL9JxFGXMl6nzOeUJ/d2+cLyZZ1A1eHo3z3NEoiiTiVERGE3l0w2IqVWBDhe+4oBn86uWx4573eY33XNuxpMd9KRPyKJiyC0E4eSXo4ck0z/ZHUCS7hbS1Qt/4WDLPYCSLadkVXpUy8Se2cJyNxdxiKOoGLw8nsICNbaGzso878do8kelUgQf3T2BZMBQF04Q7LkDlVlo1MGQwSv+ucuWw5LPijRs38o1vfIOvf/3r817/xje+wcaNG5d6d+eNRE7l6b4IpmVxbVcNq5v85FSDHQMx9o4m7NJU3ULHVof81a5Rfv3yOCG3wl3rm3hxMI5uWqxs8JFVDZyyWLalGU/k6a73cl13bdX7tEqVEvHccTEdzbCYPknG5Upmz0icT/74ZXKqzluvaaUp4OSv7zuEBXTXenj807cD0DKbVUgVeOrIDIZZ6qGz4LHDM6zfNcrV7aFXrND4x0f72H40QlPIxV/dvY6g+/zZ8hwYTxHJqHgdElvOsVKwJNol9T96cZgH9k1Wg/gqZQqawSO9U9y3dwJJgNesa+It17SiSCLvLFU79Y4nuW/vOI8fnsYpieweSdAQcPLnr1lFVtV5oT/G88eiBFwyd25o5taV9TxxZIZ/euwoA5EMTklg15DJYwenCHkctIc9rGsNoJfsbAMuGa9D5shUAocsEvY4CHmOT+fiWZVnjtrzlRt6aitqbximxfajEWbSRZY1nLrX/e1bWikITtpCHoKeyhltVTd55ugM8aztvnGyUv1IpsC/PHWMdEHjznVNHJnOcHQ6w8omP501bh45OE3Q7eDO9U386uUxDk6kUHWDgxPpkpCwiCLasqdOReK5gQhPHokgiQIfvqGTf39hmKlknlqfg2s67HEinlMZieV4aSiGS5a4eWX9oqoWLlfyqsH2o1M0B118eFvXgt9nizq/2j3GSDyHJAjkVYM/un35gu0GpjNMpYp2C6lgMZMu4HXOf4a0Bh385S+PUdAM2sJu/uj2ZRWP6csPHOTlkQRdtV7++u51OCoE38ciWXYPx/E4ZG5ZWYenwsL+1x7p476941jAq1c38Nk3rasofDiZLJAuaLTXeM5YvDSe05hJF5lJF3EqIk2BC+OUoBkWYumrSBeqQfyVxJKPYn/7t3/LG97wBh555BFuuOEGAJ577jlGRkZ44IEHlnp3543f7Bkvi8pMlBRRM/kih6bS6IaFaVnlnhQLyGkWomCQKxp855lBfE4J3bQYimZZ1xJEN01bZdkSSBU0RhN5plJFPrytq+LAVKXKlc5Pnhu40Idw0fHx7+8kXiqV/9dnhyjOyXoci+b4P/cf4L+/YR0AtT4ntT4nItY8Bdt0QWMommM0nueDN3YRdFeepN+3d4wf7xgGYCSe42/uO8jfv+P8Lcw+cdhWpd+2vO68lCzetcEO4h86MMnfvHkdcrWkvgrw6MFp/uOFYYZiWUBgIlWgNexma1cNTlki6JH55W7bz3omU2QmVSDgVhiMZvncbw6wpsXPM3128Ox1yIzE82i6yY93jDAYzZIp6KRKqnk51SBTNEjmNIZiObtU2bJQZJFjkUzJwtbEMC2WN9gZ8mf6Inxv+zEsC1Y0+phMFvjozT0LxOJePBZj55CtoD8cyxFwySddxKv3u17RNvjpvhn2jtruGyPxHGGPo6Kg3dceOcqRqTQAf31fL16XjFOW6B1PktPMUtlylgf3T9DgdzKWKBDJFDFME9OCXNHAAiQRckWdZ49q1PrsxcT/8sNdKJKAZVkMRHLU+px01HjprvXy65fHyu0OWdXg7Re5O8u55Je7x5BdXmJZlc/+5gD/v3ddM+/32aJO70SqbI+8p3ReT+TgRBrVsJ85Y4kisWyRrrr519B//c99ZIo6WDAYzfHlB3v57Js2zNvm+88Ncu/eccC+dv7Pw4f4X29cN2+bZF7j20/0MxrPoUgiM5kCH7i+a942hmnxkx0jqLo9G//1y+P811evJHhCKfze0QSPHrSfJ2GPwnuu6yiLup4OLkVkJJazn7t5yGnVALrK+WXJZyW33norR44c4a1vfSuJRIJEIsE999zD4cOHufnmm5d6d+cFy7KIz1GWzqsGBc1gIqViWhYWFqa18O9Myw7oLWxlbUEQMC3orPGgiAJj8TyxnF16lylq9I4n+cmOEQZmMufng1WpcglxZObSKPs+n6TzKrppoRm2J/SJbB9Y2MJ0orCQoxScGqZFKq8t2H6Wgen53/9U6vxWRjxR7odvOC/7u76nlrBHIZZVefHYpd8KVmVpiOdUEnmVnGqQU3UKmsFo/Pi9MZEolN1nVM1AmzM5mEkXODqVZSJZQNVNsqrOZLLAz3aOcmQqRa6oY5gWs7eybVtnL7qZlsXKRh+rmwKIgkAiryMIdjba75JpDroZieV48ViUTFEnq+oMRXPkVIOivjC4SOROVN8++b2/uO9lvvtGIl+5d36uEFpOM8rl1kXDIl2wM5uxrEoipxLLqqi6iWmaGKY9pyqPchZYAmiGSaaok1MNNMPEsmxxSkmw8Dll3nx1C5s6w+UAvtJnv5KZThUXvKZIIrVzAt+Gk4jRSaKAJIAogCwKZTeZucRzxfJ5syw4NJFdsM1gdP5rY/GFz5bhaJaDkykmkgXGEjmeLwm1zkXVzfLzUDMsdNMipy20x3tpMMb2oxEePTjFzqE4YxV0YSzL4tn+CD/bOcoLA1GsCu44Bc1kfWuQZfU+1rUEqroLVc475yS10NLSwhe+8AV+/vOf8/Of/5zPf/7ztLRcuj7ogiCwZo6ad2etB59TpiPkRICKAfyJaLptodISdJEsaLYoiySSKxropklBNclrJrGsyn17J0ie5QO1SpXLjTdtOP+WZhc79X53ebEQ7FaeuXzq1T0L/ubw1PxFQlmy/6rW56DxFJZ3d21oKpcdCoLAq1efn2Aa7En37mE7a3iuRe1mUSSR165tAuCB/RPnZZ9VLn7WNAcQBMGuwDMt8qrJls7jQhdrWwLlhbKgWylXtoiCQGvYQ7ao4VZEcqpBXjUAi2ORDJGMimbaQajXaQdRQbeCz6VQ61Oo9Tqo8zmp8SrIomAnD0wL3bBY1ehnTXPAtmoThHIfr2FadNd5K1b3rWryl3vdXYp0xtZfx78XP7NVy36XTMdJWgOv7T7eCtNd58VfCnx8TgmHJFLU7cURlyKR1wwUSUCRROZWRIsCSJKAU5aQRIGCaqDpBookYlgWlmXhUmTed10HPfU+ar3zx7bFqvJfrrjnjOOvqjCOB90KN6+o5+r2EJs6QrxqTeWxfkNbEKci4ZQl6v1ObuypW7BN45wFAAu4ZXntgm3esKGlLB4qCgKvW7ewr1wQBFJ5rXR9GGQrqOq7HRL1PgeCYC+A1XiUee4Ms2w/GmUimSeeU9k9kiCaWbiQsWc0yQsDMUZiOZ7tj9I7kVqwTXuNG4csktd08qoxL06oUuV8cE7qtuPxON/97nc5ePAgAGvXruXDH/4wNTXnto/xXPKatY0sa/BhmBbL6n0IgkBOh2UNXoZjeQRBwK0IaLqFIIgEXDLjiTy6ZdtTiILAyiY/f/bq5fzfp48xnS7gUkRCbgd3bmhmOlUgVdA5NJnGIQm8PBKnOeSmu85bVUauUgWQ5WqbyYnIc0pkO2o8tNd6eHEghmaYbOkKs7yl8pgrCvbiowA0Bd3cuaGJrlrvKcvUlzf6+ef3b+axQ9OsavJz63nKiAMlPRJY2eibJxZ6rrlzQxM/eWmE3+6f4q/uXr+gJLnK5c1wNEdBN+Y9hzd1hLi+xxY+jGVVGgJOXIpEuqAxlrB90b/wlvU8OxAlrxpMpgoMRrLcurKegmbQP5Olo9bLSCyHaVm0Bt08cWQGUbDnCaIM9T4nTUE39T4H9QEXPqdEUbcQBYEVjX4EBJqCLiYSBZyKxH997SpaQ27iOZVotohmmHTUeHjTxma2La+86NVT7+M917UTzai0ht1nnUVc1xLk/8/ee8dHcp/3/e+p2wsWveNwvfdjJ1WpLoqqVKEky7LkEjfFseM4dmLHjpz8Ekdx5MiKm2RJlmRRvZKiRIkU2x2v94ret/fpvz9msYeyuEbcEXfE5/XiiwdgMLuY2Zn5Ps/zKbGASrpo0BXzz2ocDKeK7O1zneLfvqODDa1hhlJFVjQEEASB0VSJOr/CU2fjDKWK+FSJZEEn7FUwLJuzEzkmc2UKmoUoQNinYtsOPlXGdhyKuoFHlmiNeBFFEct2+Lf3r2Vdq2t6J0si79zZwYV4Hp/iNgv+y/dOUNRM3ra9ndt65xeWtzJ+8zWreeJcnpVNAT54R8+8n4uiwNt3tHN+qoAqiwtmsn/mAzv5j988Sr5s8juvXU3QO/8ZfceqRgrGBAXNpDnkpSU6v7mzo7uON21p4akzcda3hnnTlvlDv4hPZk1ziLFMCVkUa5pGWrbDK9c28vT5BLYDd/TG0C0brzibKh/wyPhVGct2CHikaqzhTKTyGr84O8VErkxrxMeu7jcloF0AAQAASURBVOi8bXTTbbr5FBmvIpItz5/6L2MZ1xOLvip+8sknectb3kIkEmHXrl0A/PVf/zV/9md/xne/+13uvffexX7JGwJBEKo5rNOI+mRkUSLokXEcl1q0ozeKIDgMJorEgiqZkoEoCIS8MqZl8xc/OEWuZJLXDGwHJrM661rzRLwq56fyOI5rnPOl5wZY3xahJeLl3bs6lxePy3jZo3EBQ6WXKz75/RNciF+kIQ6nSgS9clUfOpXXa1Lsd3RFGUwVEQFJELijt35Bh+K5WNUcYlXzjZ82/Oz0jaXST+POlQ2EvTLxvMa+/iS3v8wW+y9nPHMuXk2TaY14eVflOSwIApvboxwfzRLwyCiSyI9PjJMpuTI7URB4YFsbd/TW88/PDmDZDq0RlzGzqT3KUMot9MumxVRWYyBZxLTtKgXfrtDGh1MlGoMe4nmdwYRVTRbZ1hWlZFgMp0pEfCrbOqNV5/DHjo8T86v4FRm/R2J3T/0l1w5NIS9NoYXZN1eL1oiP1sjsJlvZsPj2odEqbT5XNnnN+ib29ScZSpZQJIF37uwkFlA5Hy/gqUyJVze55sEXpvJYDuimg+W4x0YSBer8KmGfwoV4HlEUkSUR3XLY3BLEsBzWzZmKqrJYvc/9u0cOM5hwJRD/56dnWdkUoCG4eMdhqePMWJ6Vldzzp8/HeWWN+6osiaxtufS9/gdHxlhR0cA/dTbBmubwPJO4e1c3cHAwRcgjUx/0cHvv/Mby4yfGeaE/jU+V6U8U+fLeQT50Z8+sbVoiPu5eVc9wuowsCjUTSiRRIFUyq+yOZNGoysXmvqdpOVidX6lp6vjzs1McG8ngAFM5jefOJ7hnzezjNJHV6E8UmMppeBWRsxN57lw5n42wjGVcLyx6Ef8bv/EbvOc97+Ezn/kMkuRezJZl8eu//uv8xm/8BkePHl3sl3zJYNhw56p6BuJFDMvixFiWeL4MCLRFfbx2Qwv7B5IkCjoFzcKybDTTpmxaVdqYIMDJ0RztdT7WNYcwbIf+eAG98kAfz5RJ5LWa7rLLWMbLCUdr0NleznjmQmKWQZ0gOKiSiCKKmLZNQJWI5/V5MZbv2NXJ4eEMec2kIejBv8Rdmm3bqebD37fmxrrEq7LI/RtbeGT/MD88OrZcxL+McHz04v1mLFMmUdCqBe/O7igHBlPYtkNdQOXCVLGaj207DqfGs2xojVSNwQDOTOQoGxatES8hr4xh2bSEvJyZzOFRJARBQDNtwl6Z5rAP07YRRIGyYVGeoWnPltwkir54AVmaPSVNFQ2XFahKOA4UdPNFRWwtBkq6NStmLF3SOT2Rq2rUDcvh9ESO+9Y08u5dnQwkigQ8bqRZX7zA557pZ3VTEMOymcyW8asyIa87+VzdHEQ3rUq8mUy2bNAXLxDxq3zthWEevqObdMFgX38SjyJy75pGwl5lFn3aTT7RXlZF/Ey8GOlmeoaHim66kctzi/i6gMrm9gjpkkFH1F/TIHQ0M1sDX8tvRZFE3rOni/54Eb8q1UxysmyH9qgXvyLh4BbotSbx79zVyYrGIJO5Mnf01hPxz09ZOTORR5ZcG1gRgRPjuXnb6KZFX9w1o5RFgfEb7BOzjGUs+urt3LlzPPLII9UCHkCSJD7xiU/wz//8z4v9ci8p/KrE6qYQsihS1EzGsxrTqtSgV+HfvGoVBwfTfO2FIfb1J8mUTRTJpdqXdAtJEhFwdUKJgs7a5hBl02Yyq1EXcDuJiiRUFwcvJQqayaGhNIIAO7rqrjmSYxkvHX52epLvHRkj4JH56D09dNYtbt7v9cadKxv4+xv8mvsHUjx7Pk6qYLCpI8ydKxsuqRu/kdjZHeXYSLZayEd8Ki0RX3UhoVvugmYuwl5X75gq6vjVhbWrSwVuc1TDr0rs6qm7/C8sMt64uVLEHxvnP71lI+IyK+qmR6ZkcGQ4jSqJ7OiuqylZi/gV11Ub9zk8HUlm2Q4HB9OMpEsIQNinsLkjwoWpi6wY91r0Uh9USeR1SrpFpmxUNejBygQfQJUkeusDpEo6humgygJrW1xX+fqAim7alCqu10GPTHe9WwitrsGI2dgW5oV+1zuiLeqlrkZxcqMR8Sl01PkYrpiHbWgNV99XybCYzJZpCXsxLRuvIs2a/vY2Bqu59MOpEpmSQcAjVY9vU8hLKqojigLdsQBnJnJE/QotES+6aTOULPLEqcmLrvSaSW9jEMt2BySxgMqKhgCrGl9eWuaAR8LC1Y2/GH+AmZ+39qiv5udtOFWiMeSlsdIAG8+U55mr3rOqgcdPTqAZNpIocO8CkZ4eWbokO0ASBda3RjhZafivbAouuFbd2X3pZ8nWjki1USeJLoNtLgq6iSS4ng2yJFDSa9Pp85rJocG0y9btjl6TE/7LFamCzveOjpEtGWxqj9zwRv71xnCqyLnJPA1BD12hq19bLHp1uGPHDk6ePMnatWtnff/kyZM3dU58LQiCQEfMy9cPDCMLArf11FGs3IQ6Yn4e2T+MT5XY1ROjaFgMJ4uUDYu6gEpvY4DjI1myZaPiOhviFesakUSRN25u4fxUgZJusbsn9pIX8bbt8Mj+YZKVKKvhZIl37+58Sd/TMq4OE9kS//CLvupE5NM/Pcd/e8fSvh7XtQQ5Ne6asAVUgS1dN7aASxd1njo7xUCiyGi6xIV4ntF0mQ/c1r1gVvKNxK+9YjWPHRtnLKsjAM1hhbaoF7/aQMmw6KzzYznzf29Nc4jVzSEmsuXK/enGF8ZXg+kp/J0rG16Sxc9dq1xK/WRO49kLCe5atUyXvJlhWDZfe2GIXEW/Op4t88C29lnb2LbD2uYg2ZJBnV9ld0+sqvE+MZrl/FSB9S0h0kVXFqcZNnV+hYBHpinsZc+KGJIo8Jr1zRyuNAv29iU5MpxmKqfRWedjV0+MbNmkIajSHPYgCAJnJ3Ksbw2xuyfGlo4o6ZKBIgocqDQNNneEL7keuGd1I92xAFpFx78UZHiiKFSZA6os0l0fwHEckgWdr+4bxKNIjGdLPH5yks46H4+fnKA+oPL2nR34VZkHtrXz1Lk4PfV+hlIlCpqJJAq8aXMrTWEvd6ys58BAElkSedu2Ns5VmimliizxyHCG9qgPURQ4MZaldSTLts4oDUEVvyrxh29cf0MiK5cSNrVFOBY3aIt4F9S7Xwm2dEQ5O5mnqFvs6qmr2eDsqPNVG1ySKNSMHVzRGOSTb9/MkeEMqxuDC0q2yoZFf6JAQJVrTuLBbW4PJgtYNuxeoFAvGxY/Oz1JtmyypSNSU052z+oG9vWnGM+WaIv4avomRHwqsiSQ1wy8ilRTmmLZDo+8MFRNbxhJlxY93jDsFclXnvU99TfOM+ZG4MmzU8RzLnPmwECK3obAguf+ZsNktszX949gV5IPdrTWToG4FBa9Ovyt3/otfvu3f5tz585x++23A/Dcc8/xN3/zN/zlX/4lR44cqW67ZcuWxX75G4qSZvAfv3mcXNm9OBMFjT94w3os2+HAYIp8ZZGQLOj01Aeo8yscHc4QCygcHckSz2k4DgQ97k1lRcPFruHaK9So3giUDKtawAOMZko4lci8ZdwcSBaMWZTGRH7ppx/MnGwVdYfR1I2NmDNtB8eBbOX6tmwH3bSZzJWXRBH/1Jkp0iWzGmN5fqqEYU3xmvXNyJJIY8hTMxpIlUUe2t1JtmzgV+Ulv4Cdzoe/Ua70c+GRJd6ytY0vPT/II/uHl4v4mxzZklEt4MFdVM/FD4+NV7PMm8JeuuovLhqnc7El0XVCH0kV8VSuoS2dUXZUmo0j6RLf2D+MaTuIIpyfzHF+Ko9lOwgCbDIsPnRHNwGvTH+8yNf3D9PbGMSryJwcy3Fbbz1NYS9PnpliMOne+549n6Qt4p/1fubiUj97qTCXOSAIAquagqxquvi9U2NZvrpvsGoyFi/o/M5r1lAXUHnrVtfobHqgMJAssK8/RW9jgLFMGc100EyLyZzGq9Y1Ec9rPHp8nP54gYJusX8gRVPYQ3d9gDOTObZ1Rumo8xMLqDWd+291PN+XxBsIMpQq8fS5OK+8xqSRHxy9mKT0w2PjfOSuFfPkGzu7Y3gV16hwZWNw3hR+Gu1RP+01TO+moZtu8y2ed9eid61qmJV0MI1vHxqtOtd/5/Aov3JP77zmwk9PTXK6Qo8frZhRTic6TMNymHWvr2EvAw4k8pqbUmFYpGpEFxZ0c1b84miN+82LRa5sI1Te/nCNuLybGcacSYRR80TcnBjLlKsF/PTXV4tFv3u9973vBeD3f//3a/5MEIRqAWhZ8x0hbyZM5LRqAQ+uicbtK+qYyhvsH0hVv18fVPEpEsmC24kcSLjRFpIoEPWr1PkV1rWE+MnJSQq6yY6u6KyH21yYls1TZ+NM5sqsagqys/v6uv77FImGoFq9ebZHfcsF/E2G3sYAdQGV0+NZJFHkntVLvxDRZ9y8HZh1Td0INAQ9NIQ8pAo6ubLJ9q4oqizeEH+KF/qTnJ/K0xTycs/qhpo6wmcvJGbFWxqWe199/aZmvIpMd33tZAvdtPn5mSlSBZ01LaGapj5LBZmSwYHBNPDSFfEA79zZwZeeH+SHx8b4swc2Vo2TlnHzIexTCPsUshU9b2fd7MIhnivzncMj2Da01/k4P5mnbFjVBvvGtrAr8chpiAi0zkhLODyU5txEnohfQXCYZVYX9CpEfCqW7VDQLPYPpnjb9nZiQQ9rW0K0RLxkKu/JtB3ymmvQNVN3DFS3udkRC6gEPXJVsiCJwiyX8HOT+Xm/YzlOVcZwfirPkeE0DUFPNbEip5lV/fUPjo65zZpK5FxL2MOa5iDnJvPopk1AlbmrRtzZNAzL5skzU8TzGqubQ9XmzK2GF/N5yszRxBcX8GDY2DbfSf5qMZkrV9egACfHsvOKeKty3UyjqFs1NfEz37fjuI29uUX85vYIjx4bZzxbpj3qY3P7/MHaYKqIgzvoUmWRqdz8qLqAKhOrJFmAy0xYbDhcjJc1b50aF4DtXVF+cXaKvGaytSM6z+PnZkZr1IskClXvlFryx8th0Yv4vr6+xd7lkkVHnZ/msLdqwtHbEECSJBpDIi0RL+OVrsrtvfXs6Krj3ESO//boKQq6hWk5eGQBjyzSEvGR18zqDerEaIad3TFWNQVr6pX29iU5NJQGYDRdJupX5znnLyZEUeAdOzs4PJRBEgW2dr74G/IybiwMy6E94iWZ1/AqUjW7eClDlYRqIS8Ad62+caZiqYLOc30Jjg6n2dkVJV0yifgU3rWr47ofu3OTeZ46Gwfc69sji9xZY/p796oGHjs+jm65js0eSWBzR4TNHZdebD59Ps6xkQzgTgvrA+qSpac9dXYKy3ZY1RSko+6le4/bOqOsbAxwfqrAD4+OL8uJbkIMJYucm8pTH1B51852jo1kUWVxXhPrR8cn3MW/aZOfMLl3VUN10g5upvr79nSRKxuUDYuvHxhBN23KhslwyiDoURhJl/DPKWZ2dNehmzZHRzKokohHFvnR8Ql++e4VAGxqj/D0Ofe6bw57aawUFRvbwvRNFbAdh6BHpqdhaV6rVwuvIvHuXZ0cG83gUyVaw14ODqWqU9R1NbTPsugm/Tx3IcFQsohPlVErfgVhn8LGtgiiKBD1KTSFvDyvJXEch6BXxqfKgMCdqxp4/aYWAqp8SW+fZ88nODLs3idH02VifpWeF0E9X0oIeiVM3Ez26dSDa8Gmtgj7+t0Eh/a62pp4x3E4OpIhUdBZ1Ri85mdNyKsgi0K1MRatwYZzNfFhTlRMKVctoInf1Baprs9jAZX2GoV1X7xAnV8l4HHZav2J4rxYOwGHZMFwJ/G6RTw3fxIviQLv3NnB4eE0sjj/frMYmDlSW+LEuqvG2Yk87XU+TMvBtO1byui7KeTlzpX1PHchQVcswJaOq7+/LHoR393dvdi7XLKQJZFPv3c7n3+2H1WWqg/j6Yv2zHiOw8NpBhIFJAGOjGQQBYGemJ/uej+OAxGvzOrmAEXNbZ9lSgYnx3IICJybzGM7zrwu5tzO6dnJHAcGUsiSwH1rmogFFt/Mxq/K3LFy2Zn5ZkWyoPHzs1OMZ8qIgoAsCTxcIx92KWFbZ5TDQ2lsx10gKNdZDz2RLfPU2TimZTOaKVHULAYSRaI+BVkSKOomk1ltUSOZZmIqp/HU2SkuxF0/jGkjrWy59qTkwR0djGVKfOPgCDjwnl0d/NJdvZd9nWyNyd5SLUl/esql0r/qGumeiwVBcGOw/tuPTvG1/UPLRfxNhslcmW8eHKlOPO5aVY+D2zArGRZ3rWyoUm4zJYP1LSEGUyVwHF6zoXke8+yF/iR98QLNYS/v3dNFIq+RKRnV5htAfUBlS4ef0XSJjjofJcMikdPIlgxWNLp69ecuJKjzK7xybRN7VsRor/NR0k266wNV9s3KxiDvv72LVEGnLep7yT1yFhMRvzKLsvz7r1/Hz05NUhdQ5/kUgHsd3ru6ke8eHnUZDWWDsyUD3XJ4544OXrPevU+IosA9qxuYzJWrbvfrWkK8YXMrXbFATQnRybEsR4bThLzu+Zi7zrpVGBAA79rVSc5SiPiVF/U8u3t1A931fjTTpqfeX1MT/8JAil9Uroujwxke2tN5Ta8Z8Sm8eWsbh4ZS+FV5QfO7rjof3zs8guXAK9fV3mZzR4TGkIdc2aAz5q/ptZIuGgyliuTKbgM/XYMqDwIddT4yJTfKrmWBSWrAI182ei5bNvjZ6SnKFX+B3qsYzHXUeRkrgSjAuualI8VdDCTyGv3xAppp0xjykC0bt0wRP5Et87UXhonnNU6P5wgKV8/2uS5Pgy984Qv87d/+LX19fTz77LN0d3fzqU99ihUrVvDAAw9cj5d8ydBW5+cP37hh3vcVSWQ0U2Yi69Jrfn56ioaQiu24Wq/N7RFM26ncHEyyZYOwVyFXNvCrUvVBPZouzyviN7SFOTvpaus8ssiJkWx1kZEtjfLQnk4yJYOoT13yetdl3BiMpEoMJ0tYttssmp4wLGVM09nBdWVuvk7FM7hay28dHKGoWxQ0k9PjObZ1RQl6ZQaTbnxUc9jDj0+M0xjyXBeH+m8fGiFXNjFNmwtTeTa3R5Al8ZLuwc1hH2/a7OpFS6ZDwbCIXOaa39gWoT9exHYcQl55yU6XbNvh59V8+JfekfbB7e38j8dOs68/xcmx7ItydV7GjcVERpsV9/bs+QQ5zcQji4xlyoS8F7OiN7dH2D+QYm1ziK6Yfx7L7cxEjmfOJwBXw+hTJW7vraekWxwZzpApGa7mfYZh1r7+JAcH0yAIhHwKhuVwfqpAfUBlIFHke0fHePj27mre+1zU0uzeiljXEp5lMmbbDomCTsAjVbXrumWzuT3CsZEMg8kiggC5ssqPT06wo6eumlO/rjWMZrpGw7rpkCm5kZq11kTTGnpXnlquDE/CXJjBgOhtXJr3yWuBX5VpCS+OI//lJuszNeCW7TCRufZG+IqGwGWN+P7qx2fIVjwvPvX4Wf7+4V3INc55S8Rb02Sv+l4dh4mshu24evcaHrHsWRGjI+oj6JERBHjV2mtvNv/o2Dh9U3lM22E8W+Yjd6+oNvIvB820CaguM0G/hTTjAEX9IkvZsJxZrKibHQcHUvTF8xiWQ7Yk8NS5xFXvY9GL+M985jP8yZ/8Cb/zO7/DX/zFX1R179FolE996lO3XBF/KcyceGmmjWXDprYw2bLJK9Y2sq//osY34lN4544O+hMFnu9LVqNoOmM++qYK/OPTfZQNi7dubeOeNY28/7YukgWdoFfmK3uHADBtm2fOx3n+QoKIX2F1U4h37erg+Gi2MjXwcO/qRmRJxLYdnjoXZzRdoivm586V9cs696vEPzx1gWMjGbobAvz6K1Yt6YZJQTewbBujcn83b4Ib/dbOKH5VQrccOqO+WRr5a8VPT03y/SOjBDwyH7+vt2qko1t2VY/pVUSmsx83tITBgVRR5+RYjv0DaYZTRf74zRuJXmV807QjbrposKEtzJaOaPVnM7V8HkViXUuY+ze20Bb1XZJZM3NK72ptzcvS/Vc1BXnfbV2kizrtdb4la+x0pELBDHpkdvdcX9+PK0FLxMvrN7Xw/SNj/OMv+vj/3rW00x1uJVypkeo0m8aybWzb4dholpBXZldPjAtTrot2LKCQ0yxSBR1FEtjQGp41Zb13TSMrGgLolk1H1McTpyeZzGmsbAyyZ0VswQmtT5V4321dDKeKhH2zJ5wz1wKrm4I0hT14ZLF6rc5lx7wckC0bPHFqkrJhsasnNq9ZYlo23zw4wnCqRCKv0RLxsrIxyNbOKI7juDpgwW1wSKJA2bDJlkxaKzOPWEBlS0eEwUQRWRIYTpX43NP9+FSJqF+Z9Zq5sskMfymyJTeK7lZlQMCVX1MvFp0xf9WkVhYFWq9B9zuNsxM5Dgy6k/hXrmuaV+Tqpk1uhia+pFvkdZOofPXsVFFwc+YTBZ2YX6HWkYr6VXqbAjx6bJymkJcd3dGrfp1pnBnPcWwkg4PL4smXjSsu4v2KSF5zEAXwKrfWOl6R3Ajvgm6ysjGIdguJ/iVJYCqnoVs2giCwofHqpZqLflf6P//n//B3f/d3vO1tb+Mv//Ivq9/ftWsXv/d7v7fYL7eksak9wlCqiOPAisYAXllCEgVWNwfZvSLG+akC+weS+BSJLR0RTk/kaAx5ePeuDgaTJZrDXnobAvzbfz3EaKZMQTM5MZrFI4vs6a2nPujBcRxWNAToixfojxfIFA0c3NicC1MFnruQIOCR6IoFGM+U8SkuLf7gUJoDFaOw8UyZiE+Zp/dZxsL47uER/v6pC+Q1E68iEVRlPnrv5anMLxX8kjzL8ES/CW6Emzsi1cLa1du9uP2NpUv81++fYCJbRhIFpnJlPvOBXQDVfOLT4zkkUeQdOzpoCnvwKhKSJPDjE+NM5VwpwunxPJ/9+QX+4A3rrur1nzwzxTPnE6SKOoeHZhsySaLAxrZIVau+qT1yRdfjlo4IT565qKOt5UZfC40hz4IuwUsFT1So9Pesbqhp0PdS4CN3reD7R8b49qFRfv/165b8MbzZ4TgOjx6f4PR4jlhA4a3b2hdsUjnORTbNYLLAqbEcIa+MIAicHMvSGvFR0i2OjWbxqxIFzcJ2HBQpz0fvmX3vnp4uPn0uXmUtubniCqubguwfSFHSLWTRbQJMw6tINU1p17eGOTmWxbAcfKrMGza14lfd+Epwp/8vNzx6bLzqpP39I2P80l09swwjnzmf4FuHRijrFmXTpjXrxbDcaDqfKtMVc2ncjuMg4Jq3tkd9vNCf5PREDo8kUR9QKWgWJ8eyFHWTJ05PYlg2d61sYCKrVV+zLeqlPqiSyOsIwsXzcasyIB4/OcFQbsK9pra2X3PaimZa7O9PoVk22zqi1NVoOG/vjDKYLDKcLHLnyoZrPp6ZosEPjo5X3bxN2+bB7bOj2lRZZGd3jBcqOv1N7ZGrbrZPw3aomkomK+vqufjJyXG+c2gUgKFUkf/8nRP87cM7r+n1dMuuvoY2498zMe0vMFVpKk4XcFN5HbPyjLwWh/OljL19Cc5O5bFth1TRmGUmfrMj7FUqEgETVRKveP02E9fF2G779u3zvu/xeCgUCjV+49bEuck8BwdT1AdVQh6ZbNlEFATXMOt8nEePj1Mou7FfqaLB0+firG8Ns6opSKKgU9ZtvIprfvPshUSlU+ygyiL/88dneMvWNvasiLG3L8m5yRwBVSbsk4nndCZzZTTLpj6gEvBIjKaNihOsUp3czdXZ3sqTgJ+dniRvp1nREFg0Xf8PjowyUYkILOgW3zs6uqSL+GRJn/VQuBliOqJehafPxikZFg/f0Y0ozi/kUgWdn52ZRDdtbu+tv6Rz6eGhNP0JNz9WAJ6ZQ116w6YWNrSGEQToqiziBcGd4LRGfIymXZplqqiztz/B114Y4t41jVdErf/HX/TxlX2DDCSKSCJEfSp3rGzgrdt8fPvQCD87PUVRNzkwkCKvm6yq0AYvZzq0sztGW9RHUbfoivlrutjfrHiiEi13rfFH1wM7u+vY1hnl0FCaf3q6j99//dU1cpZxdTg3mefkmGtSFc/rPHMuzhs2t9bc1rDca7M/XqA/UWAiq5EuimimjSgKOLZDpmwSz7kUWcdxsB0oaCaf/fl5VjeHUCSR+9Y2VguNQ0Mpjo24xms99QFOjGZ57kKC0XSZhqDKnhX1OLixZ7bjsLUjwpeeG+TYaIYVDQHu39hMIm/QEFR5z25X5uZXZX5xLk7ZsNjeFWFlYwhZEvjXF4YQgPvWNN4yms9LITsj5m/asX9mEf/chQSZokE8r5Erm1iWTVfMjyDAoSGXEeVVRG5bUU990DXnfPzkBIeG0pwcyyIKUB/0UB9wJ/X5sslQsohpOzxxepKVjUG+c3iU4yNZzk/lkUWBTe0RXrexhc0d85sq00yqVNFgXUuI7V11DKeKPHMuQX+iwFCySMgr88v39F6R0XCyoPOzSlPhjt6GGxoNeHoshzcQJJ7Xefp8nDfWuKYGEu4QSJVFXrGmqWaB/qNj49Up+7mJPB+6s2ceI/GZ8wkePzFBSbcYSrr+ELU+38+eT9AXL9ASucgYnYmcZvDU2UnOTORRJNHNWp9favDB27uwLBvLtvnwXbU9us6MZ/nEvx4mUzJ41fpG/vStm+dtIzjuOimeqxipOfPL6qFkCd20MSqT1Kn8tRfQjSEPey8k0C2b5nAEvzK/PNvXn+QLzw5Q0C0agioPbXDXOwXdRqzUf6nCrbWWPziYQatQSLMlg2fOJtje9dIz8xYDdQHVTfvKlAj7lEvKOxbCohfxK1as4NChQ/MM7n70ox+xfv36xX65JYlc2Y03sSrZkf3xAutbw0xky7wwkMK2HdIlHc2wEQSXNuYAmb4kJ8bcSbssiaQKOl5FJJHX3MJDAMN2sB2HfX1JDg6mMCybiaxG0CO7DrmmhSgK6JpbxK9sDHJiLIttM2tqsKHi4KmbNh5FZG0NJ9hbBcdHsngDQSayZWIBdVH+1mTRwHHcaA8cFjA9WTo4MDi7YDWWfg3Pf/jWMaZy7kPx//7sHN2vn2909L2jY8QrsS7fPTzKR+/pXdBxOF3SsCrnzIF5tCxBEKr68G8cGObnZ6ZcJ+tdHWxqj3BwMI2IQ65s0hJ281i/dXCEj93be0la4mPHx3n0uDt10kwbUYCEpXFkJMWq5gBf3juI48CBgSSG7dL4Tozl+Ivvn+AzD+8kfJk4s2kN6K2EqZxWnYAuBT38TPzaK1by8S/s55+e7ufDd/VcN6PDZbi61Jkw7dlfVyeBps3WzigFzc1kzpRMLNshWTQAh6hP4fRknjqfgl+VMCybyZw7dXUc+NbhUV69ronWiI/vHR7lw3etoD9eYCqnU9Qt8pqJTxE5M5FjKqcxmdO4EHcntc/3JarJCd8+OMJAooCDm/xwejzHq9c3M5Et41Uk7l3TyCP7hxmq5L7H8zpbO+v46r4hShXW0bcPjfIrS7ghvFjY0hGpGp61Rb3zWC0OVNdQbg63zemJHLu76zgzkcNxHAqam3m+tTPKaLpMSb/YCMiVTQrTkXUO9CUKaIaFabv3l6hf4XuHRxlKlshprjFZTjMI+xQ2tIXnPUd+cTbOyTE3W3w8UybqV/jB0XFyJYMfHBtDQKAl4uWvHjvN37z/8tPY7x8ZrWp9v3tklF++e8Ul3fKvF+ZeU+A2LL57eLSa0f09zfVsmIvR9MWiNa+53k5zJ+0/Pz1J31Qew3aI5zUODaW5f2PLrG1OjbvNMXAlMdOM0Znom8pzbCSL7TiUDYvvHx3jD984v6b4x6f7OVqhpf/dU/388Zs3IM0x3Pudrx6qXoPfPDDK7T0NvGHL7EbG2ck8Y5kyjuMwmi7RFy9yz5rZr7WjK4rtuJ9TBC6r178UzoznKJuuDKgvXqSom/MYEk+ejTNZWe8UNJPDw+a8/ZgvXnW4pFDQ3b/RAWwgXrx1mAYiMJQqMZktkymZaObVp4wtehH/iU98gt/4jd+gXHY//Hv37uXLX/4yn/zkJ/n7v//7xX65JYmiblVNdAzTZihVZDBZpGxamJaNJIqICGimxfRAVBLdbZMFg4hPRpUc0iUDp+jgOCBJAAICkCuZOBGHMxN5HMfVjGiSO7nvDQYI+RQcx6lo390c3Pqgyms3NFM2LL6ydxCfKvHAtjbKhk1z2POyyT1eLCrOuuYg+/pS1XzOlYtsDrbYerUjQ9lF29eNQqboLqCnGSiTmfkZrDPPp2G5MS8LLYR66oN4JaG6MGkIqjWP85HhNH/7s/MkizqiIFA2TD58Vy9l3WIkXaI/Uajq1Iu6hWk7KNLC52oqr9EXz1elAbbj/icKIpNZjeFUkVTBmNVYcXDZMkXNumwRf7XQTIsnTk2RLOisbQmys3vpdbWnqfSb2sNLrki+f0NzdRr/1z85y5+/bf4U53KYngLPXVwuYzamI6mGkkX8qsRtvbM/qzMngWcnc7RFvQgIlA0LO6gwmipjOaDKEiXdQpFFHNxkGUnU3Yxex0Gw3MJgmq76L88Pols2Ya/M5o4IJd1iY1uYr70wxHCyQL7yjH9k/xCKJLKxPYLtQH+iQK5sIAoiguAWLUeH00T8Kqub3AVafzzPybEcsug2DTMlvVrAg7toNS37lmLV1MLunpjr2l9hEc29FrZ2RDgwkCJbNgiG3azt9S1hEFy3b8t2EHBIF41qXFg8ryEJkCmZBDzu70R8ikvBrlxvlm1XmjgapmVjVp4bRceiqJv8yBlDFuGNm9tmmbbltNlrh6fOxNk/kIJKUamZNiXDZDKnXJHx5Uwmgm7aaIZ9w4r49jofCR38qsTtK+bf/0u6RTyvMZwqIQoCa53ag4/uej+nx93GRsSn1JS6JAs6Y5kyluOaktWS8uUqLIl0yagmCczFQKKI4zjVtbVmWPO2MS2b/QMpkgXNbdQb7jmdu77NlEwMy8HBQRIEzk/l5x8Dw6CgGZR0C79HoqDNXzt6VZm3bW+lL14i6le4bUVtpudQssgz5+PI4mymz+xjYCCJAoLgrikTBZ3WOUaXwRn+NYIAfvXWvkcAtEd9nJ3M4VQGkWtbLn1d3Uw4PpZFEoXqeT5RaRJeDRa9iP/oRz+Kz+fjP/7H/0ixWOR973sfbW1t/O///b956KGHrng/v/Vbv8V3vvMdBgYGOHjwINu2bQPg7NmzfOhDHyIejxOJRPjc5z7Hxo0bL/uzG4mGoIf2qI+RdAnDskkXDUTBdVp1cGPlsiV3klvxz3KLcVkg5lfJlAwSBa1K+3VwOzaqLOJVJDyKwFDSNc/JlU0SBY3exgD1QQ+KJCCLInV+hQe3tfP55wYIemUMy+FHx8YBt4AAt+h5586Omn/DrQS5UmD5VYnVNfSK14LexhAeRcSwXPfbnquIA7kUHMfh8ZOTnBjNEvbJPLCtfVEiA1c3BXhhcOk70s9Ec8RLPO8W7ook1qQobu2IsrfP1b/1NPhrZsdOY0d3jFesa+LYSBZJgLUtIX7nK4fojPn55btXVOmCJ0azjGfdJiTAM+eT/MlbNtES8eJRJPcarixWNrSFL6vXnu6yzoTtOKxqCKCbFom8Pss5G0CVRO5cWX9dNNfPnEtUKcoT2TINQc8lZQgvBX54bAyA+ze0XGbLGw9BEPiD16/jvX/3HF96fpAHt7dfUSPEsh2+f3SMbxwYrhQnJg1BlXtWN/LLd69Y9iSpAVkSeceO9sokXJpX2I7P0H8WNIsNbSHKhkN3vZ+CZuI4AiPpkqtflwTKuusy3RjyEPEpDFXczaM+laaQ1y3sbIcjw2kyRQOPItJdHyDokVnbEsIBSpWCbVpKJYk2h4fSM+jQbqGIAA1emYJuUTRKeBSRgmaSKOhVE8upnEZnXYD1raHqlHdjW+SWL+CncSkW0SvXNTGSLnFgIEU8r7OiwTW129YZ4YdHxyvHUKQh5C5ji7pVMS5UCXndHPE1LSEagh6yZb2yXtIpG1A2beJ5HUUCw3QLQwcoGw6TWY2Dg2lMG37lnt4qPXxze4TBRAnbcTAsm/FMCVUSiefK6JV9lHSLgEfh0ePjNIU81F9C/721I1rNWF/RECDsu3HGeQ9sa0P0+GteU+Cau05mXRkDMMssbiZet7GF1ogXzbTZ1B6p+SwURQFZEhFsB0USq5r2mRAcmMiVKw0VsyY7YFtXFEegKgusZTQoCgIF3ayaTcqiiFxDhreyMcBUXgMHREnkVevnS7YGEyWyled2pmQynJ4/Ae6K+emsCxD0qIiCMMusdhq6afOdw6PV5sU002cuon6Vs5NuM8FSHdpqUKvfsLmFsUyJXNmkvc7H1s5bz69hLj5wWxf//bHT6KZDR52XN2ysLae6GdEa8aJWGluCAO1LgU4P8P73v5/3v//9FItF8vk8TU1Xr2l85zvfye///u9z9913z/r+xz/+cT72sY/x4Q9/mEceeYQPf/jD7Nu377I/u5GQRIGtnREmcmUkScAji6SLBrIk0BXzsaU9yulJiUODGffkVfi9Zd1iynY7yZbtFvai4DpPdtQH8MkSQa+MLIr4Pe7i4uRYDq8ksrsnxgPb2shrFrmyQVvUhygIs4qDbNnAp8jVjvfV6OAdx+HpcwkGkgVaI17uW9N000yROqI+JjRY3Ry8ZgOXuUgUNLyKhCC4BddCWd5Xi/5EsWpuli4aPHV2qmZe7tVCWwRn9xuNV61rojHooWxYrGkOMd13L2gmPzs8Sr5ssrUzwrt3d2KY03rJhT+Tpm3z2vXNNIe92I7D6fE8lEzGs2Xqgyq/VHmwtkS8KJIbSwQCEZ+CV5F4aE8Xo+kSIa9MSXcfyJ2xy1PZS4aNPceDwHJgOF3Ewodl2VR2R1NI4f4NLbx2QzN3rWq8LtfY3M9qrlx7gfZSIVs2+MU5l2b7hk1Lr4gHuGNlPe/c2cEj+4f5va8d4Vu/cdclUwGePhfnv3zvBKfGZ3fa43mdbx4c4ZsHR/jwnT38+zese0kotUsZgiDMm6RNp6sMJAoUdIvumJ+oX+VV65opahZnJnIEVIW3bW/g5FiWgXiRwWSBVMmgPepzTZIKmrtwivr4z2910yYODqR5ts/V5gKEfTL5ssGh4TSPvDBIPK8jCVSKP8BxkESRgEemJxZAEgQKmkmyqCMAu7pjILjNsucuJPGrMk0hL35VxrRsWiNeJFHgdRtb2NAaQRAuH9n1ckGubBJQZda1hOltDFRkEjpjGY3Pf2QPT5yeZFVDgNOTec5O5InnNSzbJuiR8coipuXQN5Xn7ESO3oYAsgh5zaLCfKasWxgihDwyMb9KsdKcMSrT3ONjWcDhNeub+caBYUbSZRRJoLs+QGvUSzyns6Y5SNQvE/DKpIsGhmUT8as4jksvv1QRf/fqBlY0Bq7o2bXYqHVNzUTZsEkXdY6PZhAFgc662s85SRTY3nXpbOuYX6FsuJNvRVJqHhNHcP1tJrJlIj4Vx54/rS8bNr31fsYyZTyyxOrm+U39aWbktIyiLjAtnpuNV69vJlsyyBZ1NnVEa95zp3IasuSuoSVRYDxTmrfNzHVB2KfUnLBrpsVUTmMoWUQUhQVZm6uaQoxnypRNiw2tYYwajYzu+gC/85o1JIs6rREvycnxmvu6lTCQchO0dNMm7FMYShWJXKNZ4VLD9q46Ij6F4yMZ6oMe7ltz9dLBRS/iS6USjuPg9/vx+/1MTU3xqU99ig0bNnD//fdf8X7uvffeed+bnJzkhRde4LHHHgPgHe94B//m3/wbzp07RzgcXvBnq1atmrcvTdPQtIv03Gx28ejGubLBo8cnsGwHw7CZymuIgGnDZFYjslpFFSTKxmwHSscBU7cRcKky07efoE/hLVva+JfnB+hPWgQ9Mnf01nNwME2mpJMvm3z2yfNkSzofu28VsYBKPK/hVyU2tLna97xm4JEkdMvGI4iIgsDWSi7upeA4DlN5jfOT+WrXeDKrEfIqSyL26Uqwtz+JKXlJ5DXao/5F0cQrkkS64lhaxEasGUBy9Zg7ka3Vtb4WeJhPPVvq2NoRpaC577sz5qfO7x6LJ05NsH9MQ6/kqf/qK1YumK88E48em+C/P3qaVFFHlUQ6Y34CHhnTcj/jk9kyvzgXxy+L7OqJ0R8voMoi79jZgWZavNCfQjMttnVG55kQTf+8bFhs7YzOepgnC1pNndq3Do3wvt2d1QIeoKjb/PmDW67haF05NrdHGEgUsWyHsE9ZcvnHPz05iWE5rGwMsLp56Xp1/PGbN/D0uTh98QIf++cX+IcP754XCXRuMs8nf3CSn1TkAWGvzIfv7OF1m1poDnu5MFXgi88N8J3Do3zuGVfL+fcf3FXTROrljqFkkR8cHaOgWdT5ZQ4NZbBxKOsWx0czNIe9fPbJ8zx7PoFpOZiWTV7TWdMc4uxEnoJhgePuR5VFNMPCsGwuTBX49E/P8ecPbubuNQ387Kx7riRRIFsy2ZdN0VeJp3OlbQIgoMgC00M+UXAn/kXdIlcxsfXKIifGsjSGPGiGjSQI7O1LzGJWTRdAgiDcUGOzmwHfOzxKqug2HJ84PUVz2IMsikzl4hS7okiiiGY7vH5DCw3BFB5Z4ntHRnn0+Dhlw0aRBERBQBQF+qbyrjmefXFdBe4EuGzadNaryCWTbMmgbNjYjk3JsPjxiQmePpfArDAqp/W5ZcNCEtwJc1vEh0+ReWEgSa5s0hb10Ri6mDxyKVzJc+t6YChZZHS4RCygsL2zDnFOszhd1Dg4lHEZJVw0GZ2LTFHny3uHKOomD2xvr8mWOztZwKwMEfKayWCiwF2rGmZt89yFBAOJIrbtUDbK/OzMFG+d4zzfEfWSKhoUDZuyYdecsAMk8jqyMP13GG4ixJxtJrKlClPWcZMM5PlFfE9DgOf6ki5z1WZBs0KvItF7CSamKonE81qVfbMQq6GguetJjywRz+sL5qF7FJGAKi+ZxJbrjfFMiUzJcNkyDkzllrb/1NXgmXNxnjozSbZsMZou8u2DSyBi7oEHHuDtb387v/qrv0o6nWbPnj2oqko8Huev/uqv+LVf+7Vr3vfQ0BCtra3Isvu2BUGgq6uLwcFBIpHIgj+rVcR/8pOf5E//9E+v+b1cCjM18bplU+dTCHrkikmPq4XvSxbm9Qen6zcHkCo8ekUW6Yj6+NnpSbIlA9N20Aybn5+ZxMF1u5/W+P6Px85wYDDFeFanMaiyuSPK6zY00xnz8a2Do0zmykzlNTqifj7+il66YpdfvP/o2DinxnMMp0pI4kX6280U8zCQKKL4BCZzGucmc4tSxP/o2Mis8/fjE2P8N158bnRvQ4DexgAXpgr4VIk7ehsu/0tXgOeHrl5r81Ljtt56uur9aIZNZ8zP2OgIAIeHMwxn3aOfKOiMZ8o1O+DDqSJPnZliLFPk+Qsp9g2kqteYZlr0xXOokoxh2ZR0k8NDaUzLwatI3Lmqnodv7ybsU9jSEeXbh0YuuvBO5vnwXT2zHvx/9M2jPH5iAoDdK2L89UPb8VX0a7rpIM/Q4k+jpNucnSpU2z8OLvXuq/sGuXt143Vb4PU2BvnA7d2ki27+8VKb/E5T6d+waWnT5iI+hX/40G7e/dlneb4vyVs//Qt+9zVr2NQeYSRV4luH3An79CTn4du7+e1Xr55VoDcEPexZEePBHe389pcPsn8gxbs++yxf+djtt2S01dXCsh2ePDPF/oEk3zo0Sr6iGy3oFqIAbRFfhTrrUDbcBrgsidQFVHJlk1PjJuemCpR1E78sktVNTM2mZAjVRaEk2pwYy/LVfYO8dkMzzSEPZ8bziAJM5twGvGa6E1wR8Eoifo/M5vYIsiSQKOisbgoiVxbrI6kSguAuxhtDHhqDHkbTJc5O5qgPenjbtg7354p4S5pSLhZmMoQKmollq8iiyyD89E/PIYkCumUT9Sk4DhQNi4F4Hs1wvYZmUrKnFc8z78DT911VFljfGnbZkgI815dkmqQ4mdUQRTeFpqS7n4ELUwXSRYPdPTFeta6JsE/m//38AkGPjE8RaYv6eM/uziVdZP3hN44yXhLweyR+//61vHFL26yfD6VKCMLFo7VQIu1/+f5JDgyksB2HvX1J/u5Du+ZN+MuGVfEicOn002Z+MzGYKGDZDqZtIyHMMsybxvGxLImCXn0v0xHJM2HZ7vO7ZLiyGa8sVRsRM/Hs+aR7PoGJrOtb0T6HbaBIruul619zad+bS0G3bHobAjQEPZXs+doN2vqgh01tEUzbnTjXykMfy5T4xoERdNOmzq9wd9vS/YwtFryKSDKvYzoOpuXQGLp1Gtx/+/NzZMruoEqz4B+e6b/qfSx6EX/gwAH+1//6XwA88sgjtLS0cPDgQb7+9a/zJ3/yJy+qiF9M/OEf/iGf+MQnql9ns1k6OzsXZd8NQQ/tdT5GUiWawl5WNAbRTXfq3lnn48JUAcuyq3r3uVCli2kWHkkkWzYpG1ZFfydgWG6nOOxV0GcUBrrl8NTZOB5Zoj+e5+hIhu8cGnEniYbFUMrVcx0fy/D1/SN86M6eS+qt00W9Sv9sCKqcHs/RGvGhyiIbWi+v3zw/lef8ZJ6GkIftndEbShebCbHyuook1tRRXQtOjM2OS0wWF2fSLYoCD2xrp6i7uZGLpY3c2hHgQnw+HWypo9Yi1512uqssjyzOi7TJlAz29SX50fExJjMah4bTbkTjnP2YFnhlCHgkBpJFBpLFqrvsC30pMkWdsFdlRUNglva2qFtkSyaNIbf47Y/n+eHR8Wps3zPnEhwYTHHXKpcatb45xA+Ojs263mVR4G3b2njN+ha+e3jMXXA6EAuojKbLfOfQKB+7t/e6SVZiAXVRvBYWG0Xd5OdnpgB4/RKl0s/EhrYwX/zobXz8Cy9wYarAb3754LxtXrO+iX//hvWsalp4WvPKtU088mt38sF/2Mu5yTwP/8NevvIrty+a/OdmxaGhFIeG0jxxapKpXBnHofrME4DzUy5bRpVAq+iSRcEmp5kIuD4yRd2qNtAUQUCUXeM7RxDcnHhRIOiVKRsW3zgwUjGgdJjK6wTUCuPKEZBEBweBprCH3sYg61rDiIJAfzxPfcCDKAqV9yIylikjiwK7emLYttskABAKGpZjs6px6TJMlgq2dUV5od8t1Hb31JEvm1hzkmAyRZ3RdAl/pXCL53VsZ/66qtY6SxJcxmPJsHnufAKvKiMJriGwYNpYlSSgtrCPs5N5TMtBFAWmchoRn0JBMxnLlmkIRTg9kXNp+oLIaLq0pAt4gHOTWSRPgJJu8v+e7JtXxO/ojOBTJHKW20hpCdduKB4aTJEpGTg4bmN8Ks+Wztn0+oaQK4kDd127rnX+fbAt4qscb8ByiAXm3/f29SVnNRMShflGt6os0hL1kipqCEBjSCXsm/+cKxkWggAS4OBUNfQzcWAwhVWRXlg2vDCQrHkMLoegR6a9zk//uSlEQeDOlbUHMxvbwxwfzWJaNt31ARprNHEPDKQ4MOAe8/Y6H63K0nuGLzYmshoeRUC23bXQcKrEpvboS/umFgkHB2c3ovRrUDYuehFfLBYJhdwH1GOPPcbb3/52RFHk9ttvZ2Bg4EXtu7Ozk7GxMUzTRJZlHMdhcHCQrq4uwuHwgj+rBY/Hg8dzfSYdkijwjh0dlRxTiZBX5sBAioag+/D/9E/PIgDJ4hRaxdBAqIh5REFAFhwMx3WsF0R3wWHZ7jRPFARMy8GuoZcB0Awb27Ypmy5tJ1My+NJz/YiiSL6SNV/UTU6NZXn8xDj/6a0b2d5VxxOnJpnIafQ2BLhzZT2C4C5IpjuoXkXizpX13Lu2kaPDGX58coK1zSH2VJxNp6dN0/8ez5b57uHRajPCcZyXzAU75JMoOg4NAbWm6+m14HorzP3q4l6aUX8AiC/qPq83UgWdn5yaRDMtbltRz7Tlx5aOKOczbie9s85Px4wOum07fGXvIHsvxDk7mSdZMNBMq+b5ivoVLBuyJbPqGXC2shizHHjqrMimthBj2TJ3rqznxGi2+nszDfTGKlOD6cmeKDiVHAkX4YBCR9RHpqST00wcBzrqvHz8FSupD3j44zdt4JEDQxR1m5WNAY4Mpwl45Jquurc6fnTMpcL21PvZ2HZzuNBu64zy6O/cy98/1ccPjo0xkSlTF1C5vbee993WxY7LaEansaY5xL/8ym28+7PPcXIsy4f+aS9f/Oht8yj6tzqGU0X+7xPnyJVNOmI+FFFkLFOqeFRcxPRXpmUjCkK1uLccp3r1mZZF2bARcQh4ZMRKw88vysii+zvuNF7k3GQB07JIFU000530F3WLsmkS9Eg0h700hbzct66BVMFgKFlkZWOAD97RzXN9KXTT5vYV9dzWG+PUeI6gR2JNc5jvHx1jS0ekquks3wz5nksA96xuZGVjENNy6Iy5jItfnItT0AxeGEghCO56RzctstN0W6782Rzxu671Zd12aftFA58iuiwJSaTkWJQNC8O08SkSKA5NIS8j6RLpok5fokDUr3B+Mo9WiQbzqi774lsHR8iWDXZ21dFe5+MnJycpmxa7e2KsuQKJkG27sWbT3iD3rmm8Inr+lUK3HNAtBMFlhs6FYQvc2Rvj2fNJZFng7lW1tbqG7VRYmQ62qhCqYc5nWW5jxLTcOON0cX6l4lUl6oMqZcNCkUSiNabVzWHfrEZ4rUaJZTvIgoC/wi5TJBHDtJDmrKduWxHjhwUNw3KoD6js6pl/jw54XP8o23EQBYGgp/az+N/+6yGeOZ8g6lf49Ht3sHJOs9ayHX58fIxnzidcjyuPxGs2NM/bTzynU+dXXGagYaFbNl5xNkvuqTNxnr+QwLQdzkzk2BS5OSStLwZlwyJdcqUwPsVeJOHq0oA7YHxx1cSirw5WrVrFt771LR588EEeffRRfvd3fxdw9ezh8ItblDU1NbFjxw6++MUv8uEPf5ivf/3rdHR0VOnyl/rZjYYkCrMcn+9effEm+Or1zSTzrvGNwMUC3rLBwkHnItUrVzaQRbeoq/MpZMomiizgOO7EURGFWQYYpgNm5R5p22DgMJLW5n1MRMHVAn3rwAjjmTLnK1TheE6jPqiyriWMX5V53cYWnjkfR5FEXruhmcNDaYZTJfrjBb53eJSd3VG6YwHGsmUCqkTQqzCeKbvvWxLdhx8wXiMe7EahOeTFlLxE/CrpkkHLy5DCuK0rDM+81O/i6vDDY+NMZN0C+QdHx3j9CvchWtJN2qM+NNMm4JEpaFa16VE2Lb7wXD9j6XJ1IlNrJiLgau6PjGRnmf7NXF+XTZfuHvF7eO2bN9AW8VVNZ2YuIHZ21RH1y4xl3GaBR5FmNRa6Yj4EwV04mTaokkAir/PvvnaEv//gTp7tSzKV19ENi34RIj4VvypzeCjD3asXR05xs+DrB4YBePuOjpeMuXMtiPpVfu91a/m91619UfvpbQzyxY/u4aH/9xyHhtL88uf28blf2oNPXVqSh+uFom7y6186wOmxLKbjoEoiXXU+8ppZNa2au+yRRXAQEAVnliRt+v+27Rb1mumaniG4jTsHB0V0I+f6p/JMZFyNrF+VKGgmhu24qTKO2xDXUiUyZYOwTyZR0Kv50FG/ysfv7cWsNLuBWX4xW9oj9McLS9aDYiljZuGa10zOTuQxbZeBZVSK+7OTeaZvFQtZyNRaKk/T9YXKvh0HChqE/TLZkjv11wSb42NZ/KqMRxbpixcoGTYFPU+urHN+Mk/Ur5Ivm+5zKebHsh2+vn+YiVyZ7x4a5bbe+uqA40fHxmmJeC8ZG3qyMmDZ25+io85HU8jLdw6P8vF7exftnmhXpt6C4xaxtX7+1LlENQbvidMT/PFbNszbLqCIleesgCIJSDXe39nJXNX/KVt2NfFzsak9QlfMT65s4lWkmmZ5r9nQyP98TCRf8Y3a0l67nhjLlMlXjO0msuWaUoBtXXX89PQkOBatES9t0fl+FPetbeSF/pTb5BPgVevmF95f2TvA94+MYTsOibzGb375ID/47XtmbdM3VeCJM1NMs/q/vn+Y/1rD9+bUeJbT4zlM26GgWaSLBi2R2ff9A4Op6t9WNm0ODs2XFNxqODuRq0ZxlwybgRpxgDcr1jWHODB80Y9NuYbLe9E5P3/yJ3/C7/3e79HT08Ntt93GHXfcAbhT+e3bt1/xfj7+8Y/T0dHB8PAwr3vd66rF+Gc/+1k++9nPsmbNGv7yL/+Sf/qnf6r+zqV+tpSwqT1CQTcRRYGgR0KR3AJ+2swOLpqvWDakCwapgoYsiSiSS9dTJAGPLKHKIrLonkixki8p4X4t4Bqj1Xqu2Y6rcxrJFDkynMYwbSazZSazZc5O5PiX5wf56r5B/KrEzu46dnbX0Rj0kNdMcmWDsYpT53CqxGMnJnAcV3v+2PFxxjNlCprJaMrdxnEckgWNLzzbz2PHxzGtGzuJiPhU2uv8BD0y+SXmxH2j8NTpm2sKD5Cfkctq2U51gpXXrWqMoyq7sU3TyJUMxrMa1gxKZa1PmwP8/MwUO7svLQvRDIv1rWFEUWBzR4TdPbF5kgxVldjeWYcsCogCOI7NmfGLN2afIrG+NVxZ5Fxs0KWLBj84Os7hoZT7PUEgWdArFGCT0xOLZ7Z5M2A0XeKZ8wkAHtz+4hMZblasawnzzx/ZQ8gj83xfko9/cX/NadmtiP0DKVcf67gTcs206UsUMC33uhFFUGWqxlUAeuVnfuXSyxndsqsLZFfvKlA23ViyomGTLBiUDYt82STqU2kIqvgVCY8sIQpukWJaDn2JAuUK3XogWeTJs3EOD2cW9JboaXCn9Q9ub+f9t3UtOsvqZofjOJwez3F4KF2lXc9FpmTw6LExzkzkyJV06oMe1raE2NUdw6/KhDwKIY88b60jC+CTxWrM7EzoloNhOeiWg+W4zwnTgXTBrD4/LMddKxmWU/VFUCQB23YYz+jE81rVtCzkU9jYGuH4aJYL8XyVbn9gBmV2OoZuIdi2w09OTqCZDrpp0zdVwHbc36kVu3atkEQBWXT/llRxvkb9yHDSNWCrLERHamjUAcaymhudbLuU9FqJR/mKtGX6v1r72rMixpu3trGrp477NzZz/8b5UqpEwXCTChr8rG0J0hSeP4xxHIdy5TzZDpXmwfzj9vS5OK1hLz0NAXTLmXWOplE2LLyKiCgKeFWRQg0fqMNDGUzbvRdYtsNkbv7fNpIpYM8wVJzrjTON0XSJk+NZTo1lOTtZ28NoJF2c9fXp8ZvP6+hqMTee96kLN99adiEU5t7vrkE+uehPk3e+853cfffdjI2NsXXrRaOvV7/61Tz44INXvJ/PfvazNb+/du1ann322av+2VLCoaE0ZdN1q7Wd6fnCwjdox3HzS0Neh6aQh7GMm0sqKQ6OUzHNwp02qIqEYzt4FAGz0hjIlec/NKYd8M9N5EkXTXKaSUNARZFExg6UCVUKlcdPTLChzS10hpJFuuv9fHXfICPpEhGfwuqmAPmKg7hu2gylShVNIezojnLXqoZKVIlbkMTzOiGvwh0r6xfteF4OSmXFF/TIrFkkOv3Nhloas6WO7V11/OKse8PurvcT9bnXyJb2CM8MFXEcaAp7ZhnS2I67cJt521/o6jJs+PGJqUu/h84Iv/Pq1Zd9r6cn8lVde0Gz+ObBUV4znWcqCFXX4jMT7tRIEgXetatz1sJMkQTKho1u2pgCjKbLZErGJaPLbiV88+AIjuNSHV/uMVtbOqL80y/t5uF/2MuTZ6b4N/9ykP/7/h1LXmv7YmDbDs+eT1Sb1+Bet6Z9sRHnOOA4Ag4Xp+QO7tqnvJD7FhejpwTBbQQokohpW+jG7Ma55bg6aMO22dFdx5HhDELFxd6nSAQ8bsHoVSVG0yW8ikTYK/PkGdc9vaOu9uc26ldrUoSXAT87PcWhoTQAh4fTvG9P1ywvmLxm8tePn+HISIbJrEbQIxMNKDSH3YzlzjofEzkNAYmcZmJVhMyiAI0hD4okkSxoGNb8dVDNAcecr4XKvhzH/bdluWWh6diIgkxRt9BNi7ZomKBXrhbqkigQ9Mi0ztCTd8b8NbXOs17fcZ8PTSEPkznXVG9zR+0M9muG4EozEYRK2sJsBLwyIgJWxdxuodrCtOxqQoMgQLwwv9BtCnoYz2gIuLT03hoRa6Ig4FMkQl6FgCrV9IJpCHgwHacSA+jU9gtxXDd4uzL2VmWxJjtDEFzJp2W7nji1mBFHhzNVs8ySbnOkEv07E3esivHIgWFsx0EQBFoj88/tpvYoXkWsDiHC3tpl196+ZLUJcm4yz2S+TMuc3HB9zj2uuIDT/a2EuYzzgHzrNEG76v2cnrjITIku8Nm4FBb1aBiGgc/n49ChQ/Om7nv27FnMl7qpUdBMVjYGGUoWmcyVCXhUHNt1XS1bbnSGYdmuO6UDamXC0BT2EvTIZEoGouBSyrAcoj7Z7RQbFqWKxl4UJba2BTg3WaRs2LO6f7Lg6u0lUaA57K3o5Q3qfAqKBGfGc7TXuUYjqYLOhrYwIHBuKk/Z9LO1sw6/KpPXTBRJ5BVrGkkUdIqGhYDDVE6jKeyhNeJjz4oYe/uS8/7+G4mH9nRhil6aw96XDS11LuoCsx8uNwNTeXdPjO6YH820aY/6GK24069rDbOyvZG85hbGMxc3rVEfUb/KeNaVb7hu1a6JXe022ezvigIEFAHLgbBP4fWb25EXiHqZibnOtfqMyakAbOlw2TdbOqKYlu1qpbtjWJbF946McXIsg1eWuGtVg5tzXJkAlnTrZVHEW7bDl/cOAvCOnR2X2frlgV09Mf7+Q7v4pc/t48cnJvjNfznIpx7atuTSBK4Vz11IcGYiR8Sn8LqNLQwlizjA6qYQR4ZTTA8sp3O9HcBXeRY6lYlo2bSRJcFt3oliJb/drk5SBdxrWhbdXOwVDQEmc5rrgi0IiKJJSbOrhZssCnTE/ES8MmuaQ+zsrOPkeJa+eBHdsuipD/CmLa2sbQ7x3cOjZMtmlZlT0NxiXxaFm0oK8lJj5tQxkddJFnWaQheLl9F0idFMGVFwTQVVSeQjd61gVVOQgOqyERN5Hdu2OTWe5fBwFsu2aQx66KjzcSFeRJUlfJZN2azNTKwFAVf6pMoCsujGyYV8CvmSgSC4xZ9lu0VjS1OADa1hsiWDtqgX07LJlU2ifpVfvqeXhpCH8XSZk+NZvrR3kNtXxFjdHHKn2FAtWkVR4JVrm/jpqUlWNgV589Y2NrVHFj2ppDXsoeDIqKLIHb3zByqb22OsbQ1yfrKAKMAr1jbV3E9zyEN/0o2V9ikSa2tkt79hcytTeY2SYdMUUrmrhkTs6HCGp8/FSRZ1BhIKrVEfr90wexrvJjX5sW03UaA57J23H0kS0Gasd8u6Nc/4FqCzLsDTZhzNsmkOe4j655dCftV9Dk/7PdUyRV7THKY35mOg0tB77fr5iSoNQS//7v41fP7ZAWRR4N/ev27eNuDeP6YbDrbj0DeZZ8scAzdFljBmMDl8LwNWT9grk5zho7Cn98o8Zm4GfPLBTRwY+IUrjZZEfv9163joL65uH4v6CVAUha6uLqwaHc9lXMSGtjDHRjLVnOqd3VG8iqvDG0uXsRyH8UwJzbSZzLnFSGfMz1u3thPPlemK+TkwkCKnGdjYBL0KYa9CPK/hOA6m45DIaRwfyWLjagbdqX+FXu+4Oee6ZTOYKuKRJcqGhWZajGfLpIp6tRPs98jVDnRD0FO9WW9uj3BqPIdu2Ri2w+s2NvP1AwZTOQ+27RDyylWn77UtIQ4NpSho7g11U/vCFGbHcRjLlPHIIvWLFLEU9iqEwzePDnEgUeDkWJaIT2XPitiiOJS/fnMr/+Oxs0z3chqCN8dUqKnGgxrcOJa5n4+8ZpIuuhTHaTi4MTOC4naxyzPMsUIq6LaIZdvVhV3Yq1DnV2gIevAqrpSkFk6NZ+mPF2gOe9nWGeX23nrOTeZxHPeBf8+aix4Ya5pDHBhII0sijSGRB7e3V7Weoijynt2dPN/nJ+b3sL41xOFht+Pv6iFfHjFjPz01yXCqRNSv8NatbZf/hZcJ7lrVwN9+YAcf/8J+fnR8nIf/4Xn+7oO7bvqpbl+8wM/PTHFqLEtRtzg8lOYdOzrAcQh6JKI+hXTJqBbyVWmM407twj53WifrNj6PRFm3CHplV8tuOeA4KKIbNdtZ52NzR5S8ZtJdH6BsWIS9Mo1hD1NZja/sG0Iz3VzxqE/hvjUN3L2qkdaIq0Vur/PTFvURUGU+dFdPtYnyxi1t/ODoWCWP3uRfXxjEMB06Y34e2N42qxBdxsJoDHkoaC5N2KOI86aisYBK0COTLOiIgkBDyKXST7MeXr+phc/87DyDySIlwyYWUMgU3ejdwWTRZSuKAutaQ4xltEp2uNvokQS3cHYcB7vC+BAF8EgCkiSyriVMrmyQqMicmgIq96yqRxZFfnxykrLhFherm0J8+K4eToxm2defpCXsJVXUuXNVA72NQZ7vS/LY8fEqm+OHx8YpGRZPnY1jWDZ3rWqo+ihs7oiwrjWE41CzAF0MvHVrOyMFt1H90J7ueT/3qRJ/9a5tfOPgMEFV5t27axtEt9b5mchqWI5DY9CDUuP9vm5TCyXdomhYNIe9rGuZr2U/P5nnyHAGzbSQJZFVjYF5RbzjuEW6R3blpLVWRZphV/0zwI0dzJWNeY3PE6NZChXD6LFMmclMmc45kcvv3d1VeU82PkXkvXvmH4N0USdv2PgUGUmAwdR8vT/A1s467kuWUCWR1TUaHeA2haYlhKIgsKbGcWqPuh4Q09jSHuaJmnu7dSCJsz9Tt5IxaEPIz/4/vp/TYxk6I35M8+oTpBa9jfNHf/RH/If/8B/4whe+QCx26zsnXgsagh7uXtXARLZMT30ARRLprPOzsztG2CdT0C2SBY2IV6GkW+R1k/qAhx8cG0MURQqaRSzoIeJXyZcNCppJyXC1fTiulqdYoQGJojuhaAypyJLEeLqEYdvoFb6iZtoICHhliWTBIFvSsW3XpCOvGWxsC3NmIkeyaNAV87KjK8ZIqshAokjJsOiK+ciWDPb1pwh6FPyqRF+igCBQdWWO+BQevr2HqZxGXUBZ0HHbcRy+c3i0msd939rGK3Z2vlWQyGt8+9AoVoVmrVs2962p7Qx7dRDoiHqYyhtIknBFDrk3E0bTJf73T86w70JinpFNXrOQRZgpKRQFiAW9vH1HJ//vyQsUdQtJAMu2ifoVbuuN8ap1zTUbTv3xAj88Og7AybEcgiDwmvXNFMomI9kivbEAO2YkMYS8Cg/f0c1kViMaUGYtUoeSJY6PZgl6FHTLJlk0+MDt3ZQNi7aoD/E6RcwtNXy+ko/6nt2dt8ykebHwqnXNfP4je/j4F/azrz/FA3/zNJ9+7w42d1zaz2Epo6CZjKZd6ZVp2RwfzdJZl2AwWeTkWJapvLEgc6Yx5MErS0QDKp11rpHYvn7XhMu03AK9ZLj79asS9UEPPtV1hH7zljamclr1+nLjWl32mF+RUBWJh3Z38XxfiucuJDg4lGZ1U4hYQHXdomd8Nlc1BfngHd08cXqSAwMpzky4i2tFEvnF2Thv37HMKLkSvH5jK89eiKMZroRh7vXfEPTwq69YyXcPjWI5Dm/Y1DJLttAfL5Is6BQ1k7MTOfTK/b9g6PgVCZ8iUjQs+uNFQl7ZlZYJUNQsvIrE6sYApyfd2F/ddNkUDi4ro7fBx7ERE68s4lMlkiWD/niRRMEdmDRUPluTOY1kQae3Mcj+gRTJgk6qaHB2PM9nn7yAbTsMJIrYjsP2zigg8viJiSpj4+lzcda3hqtJFNdbNvOhu3ooOR4iPqUmLd1xHM5M5vHIMoYNA8lizYZ6XjMJV37fBlJ5nYbg7O2aw15aoj5G0yVWNgVqsiHzZY2RTAnDtJFEgVSNLHlBcBNrJvNaRXo2f1josnIuplPYFQr/XAylimimjeM4FDSTwVSJnStmb7Ont55fvnsFBwZT3N4bY0tHdN5+Riq+T6okIgpUh24zUdIt/vujpzk7mUMUBIaSRT77wV3zttvaEeHR464hb2vYHSbMxVu2tPLZJy+gmS5D785VDfzveVvdWkjM+SwcGZova7iZsf1PHyNdMpAlgc++e/1V//6iF/Gf/vSnOXfuHG1tbXR3dxMIzO5uHThwYLFfckni2EiG7x4eJeSVefj2biJzJideVZo1TZElka5698EU9VOlTx0ddnVgh4bSDMQLFWM5k9aIl5aIl2fPJ8iUTCTcAsS0XE0fzrQzL5g4vGJNI5Io8o2DI+iajSO4GsTumB9VluiLFwh5JTIlAQcbG4GiZnF6PIdmupP1vqk8R4ezRHwKPlVCFAXOTRbY2hkl6ldI5DXOVqaRRd3iS88P8LF7VwJuZ3f671sIiYJeLeABXuhPvuyK+HherxbwAJPZ2oYyVwvDclBkGVmy3Ifa4nnkLAns60vy9Nk46fz84+Uw23Uepgt6gd969Wr6EwV+eHSsanTUUednRUOQHQtM4ec+qCezZV6xtol0yWA8U2ZFQ2BePJpXWfjzP5Iq0hcv4FclWsIeGl8m0/dpnJ/K8YtzcUQBHr59/lRoGXDnygYe+dU7+cjn9jGQKPL2zzzNv3/Den7pzp6bqtFj2w5jWTeCL+CRKekWiYKbu/3dI2Nu40oQFrw9lQ2HXNmksy1AvmxwfjJPyCdjI6BKImXDQtdM/IqEIonEAh7WtYR567a2quP1zOtLEiU+cncvPzk5iWnbboaz4DJtprJlyobFYKJALKDOYuWYlu1qWMsGqYIxq1Ao6uaCLunLmA+fKs1z/p7KaRiWTWvEiyAIrGwM8juvXVP9udu4SRLPafz45ATDqRKJvFYt4Kehmxa246BIApplY5XMiiRDYHVTyDURNW0663wkCzqGJZErm+iWm2QwmTdoCHko6BbZsusbNJopkS4a6JUosO56P4Zlc3goQ6wSV/bjExNQyU4/MpRmU3uE1oiXwWSRsmmzqdmVU56fdE0c2yLXj7URz2topk3rjCLcI0s0hhdej2VKBoeH0oxlykiC6zo/M3FhGo1BtbpGCajSrOjVaTx1dop9/UlKukmyoNMVC1RZmtN4rj+FUem+W7bDCzWM5tJFnUReo6iZyKLAYHL+1NJl6chVI9CQR8Yrz28aSKLbpAEBQZgvhwM3w3ssUybqUxlIlDgykmFbZ3TWNisaAngVkYxpIggCqxrnD0dG00WOj2YwLbe5sLe/dt78sxeSrgRIgPGszoV4YV6SUrbsxl36VAlVEiktYAR5K2Hu3P342K1TxL/zM0+TqvggGJbDr37p6uvjRS/i3/a2ty32Lm86JPM6//3RU2iVymEyp/FnD2yatc2qxiC9jQEuTBUIeWXurGH0dmo8y+MnJwA4OpxmKq/hV2VMy6Y54kUWRbyKRGvUiygIDKdsfIr7YXD/s13qvChwfCxHS8RLwCPjrxiH5Eo6Q6kyhuXm6JZ0o6IfFAEHw3FIFgwsx41j8cgituO42ay2jaZbaKZNvKAR9LYT9Eh4ZZGy6T7cLkzlGUgUmMqVaa/z0zrjhrS3L8nJsSxRv8L9G1rwqRJeRarm0sPiZ6XfDGiLevEqUrXLvFhxRB5JJFs2cRwHC7eDfjOjoJmcnsgxli4xninyuaf7GU5fPsZQqvQvPLJIb2MAQRA4MZpFq2glNdOmoJkEPAtPg7vr/Tx3wf2cCoJ7jlRZ5I2b5+vhLgfTsjg2kiGnmYiCMIsq93KBT5H5wO1dFDRrQWOwZbiypB/81j38u0cO89iJCf7L907w/SOjfPLtW1i7hAw7Hcfh5FiWkmGxriVUvY/btsM3D44wmCwiCBDySJybzFE0bEbSZep8Mhem8pc0a3Jw6ZR98TyOA1GfipHXiXhlRstuMW3brsZ9a3uEnoYA77u9qyaFdxrNYS/vu+0iVfbIcJpTY1kmsm4hCXDP6gZ2zShinjw7xeHKRCiR1/CrEg1BlVTRoDnsfdlFQy4m9vYlebqSj766OcibNrdWJ9bT64bp6FEBODyUZiKrzfIhmYYiC0iiQNinkCrqaKZdeQYIyJKrse+Pu59H07bJlQ1KhrtuypYMTo/n2NweYUt7mOF0CVGA8ayGKDgEFMmla5dMmsNugT6YLPLc+QQj6RK24xDP625jCDcuz6OIBDwShuWmrUzmNGzHIepXXI+jRcb+gRRPnnHNW3sbA+yov7LukoDA0+emGE6VEQTIlOZPxsGV+0iigGbabGgJ4a+RpX54OMNQ0pVLxPM6A4nCvCLe9bMQsCtmzLV8aAqaRV+84LJHBYGTNYo51+RSqLLuBEFArHFYb1tRz3CyhG7ZNIe9rG+df38YSZf46alJCmWDkE9hS0cE5hTxrREfmZJBumggiQKhWusGwW1MTN9LFLv2eTYsu2ogKAgwlCjCytnblA0L3XLN/SSvQEG79Yv4uYj4bh2m3lBqdtqAdg1SgUWvkv7Tf/pPi73Lmw7D6eKskzGWrtExFAUe2NaOZlqokljTCGcye7Eo8akSPsU12oiEvTy4rY2dPTH298f4myfOYdoOflUm4pMxLYeCbmJVNF6W42BaNoZps7YlxEC8QFPYy3nLwTIMLMuhZDmUTB1FAFWWKJnOrOmlg+v+G/BIWI5NIq9XTXwG4gW+e2iU9kqer2U75Msm+wdS/LuvHcanyqiSQCyosq2zjjt7Y9WHdLKg8+TZKV63sYWgx82lf74vgUcWefX6+bmc4HaJp83y9qyI3VLGXyGvwl2r6nnyzBQtYS9ba1C4rgU5zaQ57CFTEpEE4ZI5tUsdmmnx3SNDTGTL/PTUJKPpIsW5I5gaEABFBAvX5OqBrW6MWdmwXBpexWRoJF1iW1d0wf00h708tLuTwWSR5rD3RTmp9ydLRPwqIZ+CgBs793JDW9THn79t80v9Nm4KRPwKn314J198fpD/9sNTHBhM86a/foqP3L2C33jFqtqOzTcYT52LczbpLi4PD6V5/23dqLLIZE7jxFiWZF6jqFvs7UtSnPGQSZUu31hUJIH2qJd0ycCvyvg9bvzbhtYg3zxYxq/KKJJAW9TH5s4ofkWiZQFfjbJh8eyFhEvj7opW6cKiIBDxqUxkterE63tHxhBFge2dUQRBmPVsrg962N4VJeSVaYv6aAl7l43tXgReGLg4qTw7kSezyiDqVxlKFqvrhnOTeRRJJOiRiOe1KoV67lGfniKni4abjW47aCY0hl3n96FkEd20KZk2muHGuDkVI8WiYRPw2FyYyldThKZyJUq6y2T0yhJ+VSLskxlOumu+gEemP5F3J/+my0gMeWXqAyotES+Hh9MICIykSlyIF9jVU+dqvUWBgmYS9iq8MJAintdY3RRk9YuUve2fcSwvTBVY4buyJf9ErsxQqlxtjJwcqx13GlBdU2XbAQSxZiOizq9UCmsHryIRqDGc+dg9vTxxahLTcQ0nP3hb57xtzkxkXU+MSqWbqvGstGynWlCD24jJl815BnDTcbCyKFTkpPPf9/GRDAOJAqblEC8YnBrL8vpNsxv1X31hkGzlvmXZbsLK796/dtY2EZ+CIomUKve6Wn8/QHfMz8nxHI4DXo/IK2uYCQ4l8tW/u6xb5LWXo+/GrZPQUu+XmchebJBdC4Hruo069+/fz8mTJwHYuHHjVWXE3+zobQhS51eqF9vGSxi5eWpQfaaxoiHAwcE0tuPqAJvCXsJeBUkU6G0M4ZEl7lzVQGe9n7F0iaFkibMTOTTTZiJXRq50SHEcyqZNXUClNeLjtp4Yu1fU8T8ePc1wqoxmaTiWa+yiA5rl6oPnQhJcp8iAKjOR1bAdN2vVtC0KmoEk+isPVR3bcRhNlxlLl13jGKA17KU/XuD8VJ5M0SDklQl5FYq6ybGRDPsHUvhUibdubVvQuMlxHL5xYLha7Iykinz4LlfMdHYix7MXEqjSwg2ApY54XuOJU1PYjsNQqsQvzsUXdIa9GvQ2Buio8+NX3RvG9ksUqUsdE9kyPzo+xnCyyERWx7oC7qoiwobWMFG/guW4hbhQedBv64oSPz6BgdsB76kP8OixCT50Z8+C+2sKexc03bsabGoLE/BI1Y761jmd/mUsYy4EQeDh27t5zfom/vN3jvPo8Qn+35MX+NcXhvjNV63m4du7r5sh1pWgbyoPksu6ShcNEgUNnyLxN0+c5fETE+QqqSZ5/crZQBJuSsuKhgC7e2LsH0iRLRkUNYtNHRH+6E0b6aoPcnwkQyzgwXYcNreH2dweXfBZ8sNjY/TH3UlIX7zAL1VM6zrr/PQ0+smWDUq6RUG3iOc1fn56CkkQ2NoZZWVTkLGMOw32qxK7e2I13auXcfUIqDKa4T6nZFGorpEKMz4vsYDKaLrERNZ1rVdEB1mUcByHsFdCFERKpoVR0T3jOHgqTD9ZFEgWDDyyUGFeWdUEhOkYQtc4zW3m+FSZTNlgIlOummpJlSaNX5URBIHRdJnxXJlCyUSzXPq+RxERcSf8iYKO6TjIokhBM+mLF5jMlUkVdHyqxNaOKCGvwt7+JM+eTwBwZiLHuz1y1QT1WuBX5eqzRRLd93QlyJcN97hVsFB641ReZ2PbxfVtumTQMMdw9rYV9UzlNDTDJhpQahq7nZ7IocgiluOgSiJnpuYbxPU2BPAqUnWi3RSuLTub6amgymJNY+DDw67RrCg65DWD46M52ucY250cy1ZYoQ6WbXOsRsRcpmTOaPw4NentBV2flciUKNRmDEa9SrWK8ykihj1/XXNs7GKSgwM8cy5Rc1+3Moq3kLHd2cni5Te6DBb9qTM5OclDDz3Ez372M6LRKADpdJpXvvKVfOUrX6GxcTFMupY2gl6ZP39wEz8+MUnEq/D6TddWUHbG/Lx7dwej6RJtUTfybSJbprPOP6uA6Kzz01nnZ2ObiSQKZEoG3fUBhpJFvLKDKAq8bWsbQZ9C0CPz2g3NhLwKr17fzDcODJMpuTcLhxmZuTXqIo8s8obNbZwYzXB2Kl+N/bEdV8/uVyRkSaxoHW1Kuo4gCNimg2XDOGXymolu2kT9KoPJIpvawqxoCPL4yQn3NQvw4xMTvGvX/E4suEZvM6eVqYrTrGHZ/PDYeJWK/6NjY7yy8+ZbVCUqDZBpTNUwSrkW+FWZv3jbZh49Mf6iPpNLAc+cSzCaLlPS7VnH6lLwqTJv3tJKTrOqU7LpY/up92znj755lKfOxulp8LOmJUSyoGNa9qy84uuBprCXP31gE0+didMc9ty0zadl3Hi0Rnx89uFdPHF6kk/+4CRnJvL8l++d4HPP9PEbr1jFgzvaL9kkvl5oDHkZq6xNPIpIxKfwncOjnJ3IuwkRhkXZsFAkgSuVdMqywOpK5JZXkQh65Ir0xOHX71uJLIl88I4eTo5lMW2HDa3hyzYyZt5by4ZFtuJiHfEr/Pp9q/jukVEODaYpGhbdFbbN9O/s7olR51fJlAw36my5gF80vGFzC0+cmkQ3be5Y2VA1QlvREKAhqBLP67RHfaxvDXF8NItPkbgQz1PQLOqDKvVBlcmsRrpkoJkuRTnqV911gmnj8ymUDRvdcNCnp8hMU7HdYlcUXBd0VXZ1x3KFEj3zaVMfUPEoYjUrvazbmI5TjW/1SBJNYQ/1lXhX07Jpr/PxgyNjlAwLRRIp6iYdUR84Lt16pt+K47iftxdTxL9hUws/OTmJZlrc1luP37gyPfGK+gAhr+vyD9Aard2wbgp5GKxQ5X2qRKhGzvWm9ghBj0yioLOiIVCzqfb0uQSW7aYIOMCBgfS8bXb21POuXR38/MwUfkXmD16/Zt42qizy9h3tfO/IGODw6rXNxGqkHEmCQFG33EaFKuBR5hf6dQEVSRSqiRj1gfn72dkd5YvPCpiVdUhbjeN0YbLEjIRndKv2mmX/UKqq/04UDA4MJmmva5/9vmc0JKalA7c6ZHF2E2lHd/Qley+LjcXoRyz6k+c3f/M3yeVyHD9+nPXrXae9EydO8KEPfYjf+q3f4stf/vJiv+SSREPQWzOS4mrRGvHN0pIvpBk9NpLhhf4kflXmrVvb6G0M8JW9g5QMmxX1AcJ+BdNyWNsSqrrD/8q9K9m9Isbf/PQcT52dQpsRvyVJArblVB9souDGkdy9uoEtHVFGM+7k3zBtvKpbvPfF82xoCfHCYBpZdJAkEUV0XUQFYVrPY9MS8bKuJUTJsNjZE6Mx5JnVNCjqC6/sPLJEV8xffXB01/tRJJFc2ZxlCFfQLa4j0eS6oS3qZtmXKsdgZVPtOJJrQSyoLspn8qVG2TTdOBsR8ppx2RthY0ChNepnTUuYC/FCtQm0qnJsBUHgv759C197YYjhittsT4P/uhfw0+is88/S5C5jGVeDV65t4p5VDTyyf5i/+vEZhpIl/v03jvKpx8/y0XtW8K5dnTdUcvTq9U2ciJuUdIvtXVH8qsyFyQIjqRI5zcC0K4RISUAWHMzL9OFifoX71jZSH/Twgdu7+fahUWRJrOpYpy9/SRQuGV86FysbgxypxDnWB1XqZhQXdQGVD97Rw+s2lvnqvqFZ/hfTWLWI9+ZlXERTyMt7akSaeWSJh/Z0MZEtE/Iq2LZDXrNojfhY0xKiLeJlOF0iXzbJl01CXgWPZWPZNpppE/RIlAybkFemIeihP16orhmmSyG/KrOtM0LQKzOeKeP3yPgUieFUiYhPIa8Z2A7U+VU2d0SI+RUmcxoDiaIbbea4DulRn8KWzih1frXaNF7dFOLeNY3V1z06kkGRKlG6gptvvrIxwPnJPKZlM5Asosouzf7OVdfmsVAf9PDu3RcHIsPDV1bEC6LAnb11HBjKoIoCd9TwbAJ405ZWnruQQDNtdnTVLdg07GkI0NOwsL/P2tYgPzo+jlNpgnTUzW9cSKLAv3/Dej581wr8ikRdoDbD5sN3rUCV3OjY995W2yi1tzHIhXgBw7KJBVRawvNf7y1bW9nXlyRXkTm8ccv86FNVkljbEiJd1PHIUs1YuFhAqQ68AGoQAwBmNTRtB6Yy8016d3bV8diJCezK5+wVaxv55pxtbrW6fkt7lANDacBl5rxje+0B380IvwjFF1nIL3qV86Mf/YjHH3+8WsADbNiwgb/5m7/h/vvvX+yXWwZu7Mb0JDtVNPjxyQnevauTlrCXvGa6png5t6P6+IlJOqL+qnZyW2cdD2xrp2zYnJvKUTJsOqLu73llkUzJQK+4am7rjHLnygYcxyFXNnjkhSEGkkUMy3ZztVWZQ8NZN5dVEumIqnhkgYmsTtEwUUS3s50q6BwYTCOJAvetaaKloiseqhgeLZTNPY0HtrVxskIrWt/qasbq/AqrmoKcqxiD7e6pA148VWUhSMD1sBQJeRXeu7uL8/E8UZ9Cb+PyQnEuXrOuhUPjg6iySLpkki4uFEflLs4aQp6qceJ7dndyejyHT5VYO0dv+Lbt7ZwcyyIKAuuWkFHYMpZxOciSyEN7unjrtja+vHeIv3vyAuPZMn/+/ZP8f4+e5vWbWnhwezu399Zf9wg/jyxx35qL9/CJTIkjI2lSJb26UHVwF+UrWkOcncjNWsAKVLK6ZdGNX4358Mju9F1AYGd3HT88Oo7tOLRGvHTWWPBfCV61rom2qA/NtFnXEqoZ69Uc9vLQnk6GUyWaw95qaswyXhookjhrkPHePV30JwrUB1S6Yn6ePpfg52cm6ajzE/C4JsCTeR3HtmmP+gl5Zda3hdndXcc3Dg5zZDjDSLqE4LhDit7GIIbtMJwqYVoOjSGZ9a1h7l7VwFimxHCqRMgr89CuLlrrfPztz88zmasY5omuLlrAbQJtagvztu0dxPNa9XkjCAKvXt/Ek2fitEV9FDQTryKytiVExK8Q8UcIeRR+cGyMtogP3XR4vi9Ja9Q3zwzuekKVRDTTbagAswYkM+FVpEWR+21sjbCmOchUTiNciU6rBUkULnsNfvew2+STK14Wv3rfynmU+s6Yn6aQF82w6Ij5asbehb0qu3pipIo6sYBak2Vw58oGvndkjIlsGUkUeHMNc9v2Oj9hr0S27N7kGoO1mw9eWaBgXGwqrajRJHxwRwcOMJHVWNkYYGO7u6+Zf558E6WVXAm66v2cm8pjmDaxgHLF7MubAVu7ojzbn65+7ZWv/twtehFv2zaKMr/rrygKtn3raBleavTHC0zmNHoa/JiWM2uSPT3FnTZFOTiYrv7MdhzKpkWEi+doXWuIbV1RVjT4GUgVWd0Yoins5VXrGvnmgRHieY2QR6a7IUCmqOORRd61q5NXrmviB0fG+NbBETcyz6dwYSpfjQmK+BU+etcKvn5wmL0XkuiWTSzgcQuroIeQV2YkXUISBR7c3s5EtozvEh3WaciSOC8jWRAE3ryllfFsGbXS3R4evn5FfMQrkSxfXHnWYGNd+779yssuWu9q0BHz81fv3sbjJyaqpo5lzcSYdqStbOdTBBwEFEliZ3cdu3vqEEWxGjU1F4ok1syCXcYybhb4VZlfvnsFH7i9i28cGOHzz/RzajzHtw+N8u1Do/gUiTtX1rOtM8qm9gi9jQGaw97rWtgfG81iV4xXy4blJqZIbrLK7Sti9NYHOTeRZTxbxsF1DBcQ8KkSdX4FzXRIFnQ2d0QoGxZrmkM0h7zkdZPmkOeaGTOCINR0pZ6LppC3WswsY2khFlCJzVgv3L26gdt6Y3z70CjPXUiQyGts7YxS0Czq/AoBj8LbtrchSyIrGkKEvSr7B1IYts3a5jBl08SnuObAubJGa8Qt9Da01fO+27qZymuEK14+X98/7GqdK0zFiFfFq4g0hTz8z3dvpzniwa/K84xPd3bH6KkPoFeMgU3bmWW+2FXvpzXira7jwI0trIXxTJnBZJGWsPeyEb5XA92yWdkUoDniQRQEYjWo5OAmThwfzaJbFhtaIzWL4StBU9jLvWsaKeoWPkVyJQYLoFyRItTSutu2Q9mwqk0H3XSllpI4+305QMAjo8pihT0wf19l0541RKmVSx/0yvzlOzZzcixHS8RDe3T+OVBEkV099Qwli4iisCCDp7shwPnJHLYDQY9EYw0ZwG299YymS6SKBj0NflbG3JpqbUuQ/qz7V9yxcn4U4M2MXNltdKmyCIJA7iZPVpqJkF+dxdIIXwNjbtGL+Fe96lX89m//Nl/+8pdpa3PpJyMjI/zu7/4ur371qxf75V6WODmW5UfHxgF4/oLAu3d3VinmtSbZu3ti/OSUO6nvafBXbw65ssGz510t0us2NKPbDl0xP6Zlc3AwzfmpAvdvauHocAZRhKfPxvn8M/1E/Sq//ZrV3LO6kQ/e2UNXvZ8DAylSRZ32Oh9C5Ya4tjnEnt561rSE+Pyz/cSzGh7VzWFtmeEEDG6H9XLaL820ePZ8grxmsqU9Ou+hJQjCLOnB9cQrNzTx9QNj1a83tC1Pbm8kon6Vjpifsmlj2650w6mMQSzbXVQpksiG1hB/98HdBH2XbgwtYxm3EjyyxHv3dPHQ7k6ODGf41xeG+PGJCSZzGj85NclPTk3O2r7OrxDyKvhVN4PYr7qT76hPJepXiPgVOuv89DYG6G0IXnaxblo2z11Iki7pSBW3d8vOU/GJIuiVuXNlAw/f3sMXnx9gJK3QFIG1zWFetb4RnyLx/SPjhLwKkgg+RWIyq/GVfUO8//auytTypXfiX8bSgyKJvHNnBw9sa0MUXBfyqZzGSLpES8RLa8SHbTt0xvw4jkNHzAcOODgEVYWeBjfHPFc2mMpqDKddJ/lfuXd2VrogQH3Aw7inTCygYjuuvO++NY0cG82QKHjZ2V1XM6mgvkaBNhM7uuo4M5GjP16s0P/nP7/GM2X+9YWhasH65i2ts9zsR9IlDg2m8asSd6y8OgZOxKewpjnMmQmX8egyG+fjsRMTVef6YyNZ3n9b1zU11da1hHih38uR4Qz1AQ+7Fni9x09McHQkgyqLvHVr27wGiSgKBFSZr+0fwnHcY1Lr7476FHZ0RXEqbve1KOib2yM8fmKCeF6jOeydZeA3E35VviR7NOJXefuOdp46G0cUBN68tXYU7V2rGhAFl0rfFvXRWmM9HPLIrGsNM5Eps6YlhGy5x/6h3d08P5RHFATevae2hOBmRWNIRTdtLNvBI4svyiNiqeGdOzt4/MRktYjf01PH/qvcx6IX8Z/+9Kd561vfSk9PD52drnZhcHCQzZs388UvfnGxX+5lib74RedOs0L9enB7OxM5d5I91zhkc0eEjjofZdOiOeStRnR888AIx8dc+ntPQ4CP3dOLIAj84y/6qjnikzmNh2/v5nPP9HGookspZ8p87ul+7lntmhS+Ym0TG9siWJbN/sE0BwdThH0KD9/u3kyifpXfetVqJrIaHlnkyEiGg4OpChXr8kaHjuNQ0Ex+fGKC/kQB23GjZz5y14qXbCF3YWK2e+pErnaO6jIWH4m8xompBN84OOxm/joOjuMQCyjopkXJsJFEkVhARVXkmtm1y1jGywFCxU19a2eUP3/bJk6O5XjmfJxjIxmOj2YZShUpGzapolEzsqkWJFFgQ2uY3T0xbu+NceeqBoJzjN2eOhfn0AwG2Kb2EEdH0kQrcVOKKHL/xiZCXoWAR6Y54iGecydnT56JE/DIdMX8lAzLTZSokPjKhkV/vMCG1vAN86xYxs2JmfKIuWkioijw9sqa6dRYlqfOxitGcxY5zSDiVWkMejk9nsOrSGRKBt88MMzWjmjVMPGe1Y0kCzpbOiO8YVMLt/XGSBYMnjo7xbPn4xiWg27Z1Zz4y8G2XZYkDrRGvARVmeawO83//pFxPnL3ilnbDyQuavpNy+bsZL5axOc1k28dHEGvOILlNJO3bp2v6V4IgiDwxs0t7OyuQ5GEBZsOM9eiyYJe050e3EjAZMXYrjE0/+d98QLxvE5b1Idh2Rwdyc4rjMczZY5WHOJ10+bnZ6b4wO2zC1bbdnj2QqIa47Z/IEVZt/DOaTret6aRbx8apaCbbGqL1IyJHU2XCHklQCWgioxlS9e83nzTljbWtAQrnk61ZREfvKMHnyJT0A1eubap5jHfNyO94EK8wF0t7lo+XdRojwURBaqpGbcKXOaWa3jokSXKV5FqstRxfCSDLILluD4x055MV4NFL+I7Ozs5cOAAP/nJT6oRc+vXr+c1r3nNYr/UyxbNYQ+nx90OqSC4X4vi/Cn0qbEs8bzGju66eRR1x3FvdsmCW3xO5TTev6cLSRKrBTy4BZPjOKQLFxd4Dg7mHGnE9I35TVEfr9vYPG+BJQgCLRH3IXrfmkburnQdL5enq5kWX3l+kJ+enmIkVSTiV5AEAUEQ6K738/YdHZc9XtcDU3NiQvLayy/f+6XC1w8MY0k+jgxniPgUAqpEtmyS10wKmo0NyLZd0d0uL/SXsQxw77Ub2sJsaLtIIXcch0zJYCKrkdcMirpFUbco6Ra5skGmZJAuGiSLOgOJIuen8qSLBkdHMhwdyfCPT/ehSAJv3tLGv73rYrESn5OqsaMrxtPnEgiCwETW1RufGc9zdiLPseEM/YkCuukalVm2gyoJbO6I0hz2EvDI1SzmgUSB7x0e5amzcd64ufWG6oSXcWthes10bCRbNfv1KhJ39MbYvaKeH58Y5xfnpi5uL4izJraNIQ8fvad3VorJRDbBQKJYLaS+dWCEHV111WmwadmMpEv4VImmkJexTAnDdAh4JL5xYJj9A2lM22ZrR5R0yai+r0zJQDftWYkLzZWmxGCyyGi6RLpkVLPlp7efRiI/+3osGxbJeIGIT1lQvjhzzbYQmsMeBhKubNG/gDv94aE0Pzg6RtmwqPOrfPDOnlkSCIB4Xp/z9fxUnrns+VrO7LbjUNKt6nHSTRvDtvEyu4hvCnv5lXt7L5lAM5wqcmIsR0m38KsSO7vLrKthXHcl+Ken+/jRsXEkUeB9e7p4c42GSmfMz+++djW2Q02pAMw/Tsmie5zKhkMw4B77uffemx3npvIkCgaO435u85cwvr7ZkCgYeBSpYugooC2QXHApXBf77p/+9Kf89Kc/ZXJyEtu2OXjwIP/yL/8CwD/+4z9ej5d8WWFHl0vRmspprGwM1nSs/9bBEb6ybxDHcR3u/+vbN+FXZ5/umTfBaUpRQJVoj/oYSbsdoVVNQQRB4K7VDewfTHJhqoBHkfjonK7wTFzJhGShm9RcHB/NcnAoXdVBDSSKNAY9NIQ8nJ/MkykZN9R5eRphrwJcvFm+FFFOL1cYpoNHFWgIqoxnXKdiw3JIly42n0wHMkUDWaDKPFnGMpYxG4IgEPWrC2ap18JousS+/iR7+5L84lycgUQR75z86dXNoepUwa9KbO+u481b2/jqviHSJZOWsIcTY1kKmslQsoRu2TiOjV6waY14kUSB/kSB9jofb9nSRl+8wFCySLZk4FNldxJ3epIVDQs/h5axjCvBqqYgx0czrrO8KNDbFEQSBe5Y2cCRYZc1WBdQedeujprmhzPXO72NAbJl9zkk4MauTeU0OisyxUf2DzOWKVeo+Gq1KMtrbtGdqkS6jaZLiKJQZbj0NPjnRSb2NAS4b00j//h0XyV+z8PPTk+xujlEY9BDnV+psmvm6rAf2T+EJrjX2Zu2tLLyGg1037i5lb19yYo7fbTmOmhvf5LDw2kcxzWrvGt1PbHAbLf7FQ0B9vYlMCzXnb6Wbrwp7MoTDgym8C3A4pQlkXvXNPDkmTgODrf31lcbIbVwqbVqUbcoVwrGkmFRNK5tAhzPl6vyV8t2+OoLQzWLeHDvx9IlliurmoKcnczhOG6cXnud28RsDnvIVGrb1c23lhnyhal8NQZSNx2eP5fgVetujSjeD93Zw09OTZIvG8iSyDt2tPLYVe5j0Yv4P/3TP+XP/uzP2LVrF62trZedtC7j6iEIwmWNz356arJqdjeWKXFkKMPtM2JCBEHgrlX1HBtx6fQrGoMEPAqCIPDgjnZOj+dmuXTv7onxp2/dRLKgs6Y5SPgGaYxnNhrCPgXDtmmL+ljTHEKRxQXjOq43fHMaIoFlyvYNg1hhYmzrrCO4WqI55KMppPK7/3qYkEciWdQr/gheMmUD07SRL5MZvYxlLOPK0Bb18cC2dh7Y5mYY909Tasup6jbbOqPU+RXSRYMVjQGCHpkP3tFDUTM4MJAmUzaZzGlIAjSHPJQtG0V0mTM7u+swbAfNsHjv7i4aQh6awl5WNQUZmkE3vNJG8DKWcSmsaAjwnt2dTGQ1Oup8VTp4xKfw+69f5+bAC8IVNYObw15ev7GF/QMpAh6J+qCnOukez5arE3rHgZ+dmWJTRWc9mdUIzKR8V7yN1lTo8QulpaxqDs4qwKeXS6os8p7dXZydzOFXJVY1zf79TNHEG3CLyqPDmWsu4r2KxL1rLi2JzJaM6lpUN22K2vxJamPIw3v3dDGUKtEU8iyoe753TSN3rWq45LX/sXtXcs/qBmwHNlyBceVCaAl72dgeqcQVytdsbiniMjimj8GLyXZf2xIi4JGI53W6Y34KKdfb5K3b2hkrCsiSMC9152aHbc+2HSwsRrj6EsHq5hD/8tHbePZCglVNQdbVK3z8Kvex6EX83/7t3/K5z32Ohx9+eLF3vYyrQMSnMJF1HxiCQE1jlLdtb6e9zo9l2+zsilVvjIok1szb7W0M0nt5CfuiYmNbmDtW1vPY8Qlsx+HOlW2IooBtw12rLt1lvZ54aHcXJ8dzaBWGwFtrZIgu4/rgTVtbGC0IxAIqO7rqqourD9zWzdf2DyGLIk1hDyGfStAjLxfwy1jGdcR0/vPwcGrW97vrA3TPiZeO+D2sbgkxmi5T0k1aI16yZZORSoTbA9vaOD6aRRDg1eubaZihn60PeritN8a+vhQeRVyUaKtlLANctuJCprhX673w4I52OmI+CprFlo5IdZoeUGVEQahGZEVmrF166v1E/Sp53cK0HVY2BrlvTeNlDfDCXoV7Vjfw9LkEiizwmvUXJ5Q+VbqitJW5fhaLjW2dUcYzZUqGRSyg0l1fWwJTH/Rc9u+FyzfvJFFgU3v0Wt7qLOzormMw6Uoj2ut8bO2sbWx3OcSCKm/f0cG3Do4giQIfurPnRb2vjjp/lX1bqNxyVVlkc8e1NyyWMu5aVc/jJyexHQh4JN6xo7Yx4M2KFY1BVlSaaNls9qp/X3CcxQ3dq6+vZ+/evaxcuXIxd3vdkUqliMViHD9+nHD45r8YpnIan3+mn2zZ4O7VDdy/oeWlfksvCnaFTyOKQsXI7PI06aGhIe68806OHj1KNBpd5Pdj86XnBzk1lqEzFuSX7urGo1zfh+HLHVdyPi3L4shQmu8cGUeSBN61s4O116hjW8b1xfW8Ppdx43El5zNTMnjmXJyyabOtM4puWhwfy+JXZe5d3YBflZlekizE4rNtZ1kic4OwfI0uLs5O5jg6kiGgymxsC3N4KINh2ezsrqMz5p+1zrka2LZLQ78c83X6fH7l0aeYKMtE/Sp3raq/rnJA3bR4+lyCVFGntzHAts6bKz53se43pmkjiiAuok/Py+H6TBY0Pvf0AMl8iTtWNvKmqzBovNmQzWbZuHEjyWSSuroru04WvYj/gz/4A4LBIH/8x3+8mLu97ti3bx979ux5qd/GMpaxjGUsYxnLWMYylrGMZSzjZYa9e/eye/fuK9p2UYr4T3ziE9V/27bN5z//ebZs2cKWLVtQlNl057/6q796sS93XTA9iR8aGrriSXxeM/n80/3VrwUBfu0VK5d9AJYIhoeH2bhx41Wd02UsHfzjLy5Q0i/qn+5uF7h3z47l8/kS4fhIhp+dvujW3NPg500vQkayfH1eO56/kOCF/ov09Y3t4ZecXr58Pm893MhzOpQs8p1Do9Wv64MKD91imdcvNa70fCYLOl9+frD6tSILfOzem4td+3LA9Pn8ky/9HK/fpWRLosCvvmL5XN2MyGazdHZ2XtUkflH4vwcPHpz19bZt2wA4duzYrO8v5eJWklw6UTgcrnlzK2gmz/clMC2H3T0x6gIqIcehuzVf1Z73NgaIRK5NN7OMxcf0eVzonC5jaWNlexOPn5zAsh3WNofobHL1csvn86XBWsnLj89lmchq+BSJN3Q3v6jzsHx9wtHhDMOpIh11fjZ3XPmzY0OPwom4ie24NNqNPS2Ewy+tK/Fin0/Hcfj+0TE+93Q/F+IFmkIe3rK1jQ/e0f2SeaG83HAjr9Feb4CGwWI14nZ9d90VvWa6qLOvP4UowG299ddd430z40rPpz9g096cJ1Fxz1/bErrm82/bDi8MpEgWNFY1hWo6zy/j2jB9TqLRMOfTrgHjvWsaXrbP01sF0/XolWBR7nZPPPHEYuxmSePbh0arxfrT5+P0TeURBIGP3bOCtS0h10yjbfnCWcYyFgsjqSL7+pOuOzBgrbwxiQjLcHF2IsfBwTQBj8wr1jaimRayKOJTJXyKRLFGXutUTuO5CwkkUeCulQ1E/BeLLdt2eK4vQTyvs6oxyMv9bnlyLMvjJycAODWeQ5GFK84hbo/6eNeuDoZT/z977x0m2X3W+X5Oqhy6uzrnyXk0mqAZSVayZNlykpwTNosxtrm7BhbYBS6w1+YucGF3gYUl2iYZjG0c5CBZsmUrSzMaTc6hezqnyvnkc/841TUdqif0jKQJ/X00j7q7qqtOV536nd/7vt9Qpi3qYzRT5tWBFK1RP3etbFxQw2nZDrv7k8TzGiubQzUNTC+G42M5zsYLNIY87FwWe01c4m3b4bcfPcq/vXJ+Gpgq6pycOMVX9wzx5x+5lW0915e2dgkuVMPipb6Ea/zWEeGpE3HOTOVY2xrhgzs6OT1ZIOiRWdd2cZdt23b41v5RcmU3Sm08q/Izu5am91cKWRK5fXmM7xwYxe+R2LmsYdGP9fyZOH/3fD8F1aSjPsB/e+f6i+bPL+Hy0D+VZ++ohigK9MbmR04v4cbFUsvyEuA4DvG8Vv36ewfHcBwHQRD43e8e48f/+e7L6pwsYQlLuDj+efcgqYL7uXv61BTvXnVx59olXB1kSjqPH5moOimbts3yxhA51SBbMtA9NhOVuKRpmJbNdw6MUKxECCULGh+/vbd6+ysDKfb0pwDomypwR+u1y8x6PTBVuaZUv89prF3Af/TkRI4jI1mifoW7VzfhUyTa6/y01/k5Ppbj5b4kAGMZlaBHYntv7U33nnNJXjnnvgfnEkUiPoXuy9j0DadKPHnMzTzumwIBgdtXxC7yW5ePP3vqNP/2yhCiAP/pvpW8bWMbx8dz/PlPzjCUKvHRL+7mLz+6lQfW3xh5wTcTfnR8kr6pAgCPHR4jXtCRRYFziRINQQ/vrkQXZko6z51JYFo2u5bHasaOqaZVLeABEgVtyfjwKkA1LH50fBJFEjEthx8enVh0c+Qbrw5zcjyHZTuMZco8dybOB7d3XeUjvrnx05NTWLL7+fi3vUP86oNr3uAjWsLrhaXspUuAIAgsb3JjMVTDolyJATEtm0RBJ1sy3+AjXMISbjwUVBPbAdsB3XKI5/U3+pBuGuRVs1rAg5v1KwowlCqRUw0mcyp5dfa6p5p2tYAHSBUNZlquTFMzp5EuzS5ibzYsbwxWM4NFQWBZY+3opam8yhNHJxhJlzk2lpvlSwCu4/uFvp+JdHH2bcni5b0HyaI+5/ur/x7uG0zzf54+C8AfvW8zv/rgGta3R3j/tk4e/+W7eGBdM5pp85l/2cdPKkyGJVw/SBbOnzOZsoFln/c9Gcucbwx+/9AYfVMFBpMlHj04im7Oz4f2KxLtdeenussag0sF/FVAWbdmvd45deE15WKYymvopo1lO6imzURGvfgvLeGyoFtU90q1GHJLuHGxVMRfIt6+qY23rG/hwQ2tNIe9TF8m6gMKIf+SPm8JS7ja6I4FkEUBWRSI+hVWNNUucpZw9dEa9c3K6N7QEcV2YGNHlJ5YgLWtYeoCs9e9oEeiq+H8VHdNa2iWD8qqlhDT33pkkc76m/v97GoI8MEdndy9upEP7uic9drNRK5sMNN+NlueXUivaQ3jVdxLuSIJrGtbmJLvvifu115FXLBxsBB6Y4HqcwkCrGq+OOX5cuA4Dl/4/jFsB957awcfmDOxC3ll/vpntvHuW9qxbIf/+NX97BtMXdVjWMJrizUt58+ZTR1R/B6XxahIInetaqzelimdLxw1w0Y15xcngiDwnls7uW9tMw+sa+Edm26sDOk3ClG/QveM9WjTImQ309jYESHgkfEqElG/woaOm11IdfVRF5Cre6WOJanCTYUlOn0NqIaFbtlEZpjnSKJQ1Q/++oNr+PaBERzg3be088q5FLIEO3pfG33gEpZwM+I33rqGP33qDCXd5L1bOmiJLtHpa0E1LDTTJnoVm4mKJPKh7V0MpUoEvRJtUT951SDokciWBSRRYMMcDxBBEHhkSztnpgrIosDK5hDZkoFh2zSGvKxuCRPyyiQKGt0NAQqpqat2vNcr2qJ+2qLzacIz0VkfIOpXyJYNSrqJJApMZNWqrrQh6OHju3qYyKo0hb3UBeZ7RxiWTUmzWN4Y4sM7ukkUNLoaAhc8ZwzLJl3UifgVfIpbaNUFPHz0tm6GUiViIS8dNSjOV4Injk5weCRLwCPxf79jXc37KJLI//rgLeRVg6dPxfnkP77Kt37xdlZe5YbCEl4b3LGykZBPJl3S2dHTwERO5eR4jnXtUZrDXg4OZwh5ZTZ0uDnqAD2xAOEFDOs8ssiWrrrX8S9wYdsOedUk4JVQpOtrHmbbDtmSgd8j4ZHnH7soCjy0qZVnTsXxKxJ3rmis8SiXho/t7CGvmsTzGuvaItx2Bfr6JdTGp960jO8ey+CRRf7TfSvf6MNZwuuIpSJ+DvrieV4YmMS0Hda1RXjbxvkixXdtaWdjZxTbcfinFwfYPzyAALx5XTO/+pYlLcoSlnA18NyZOIPJIrbj8PSpOA/2Lj7O7EbF2akCPzwyjmk7rG0N87aNrZeUAnIuUSRV1FnWGKQhWNsw0COLs5yEbRscQBYFREFAq0FvlSWxOgneP5TmudNxHAc2tEd4cENrVccNUFgaoDKeLTOWKdNet3Ax71MkPrqzm32DKZ45FWc4Vebre4d5z60dVT172Kcs6Ngez2t8e/8IJd2iNerjfVs7L2osVdYtvvHqMKmijlcRed/WTloi7u/UBTw1GwVXCsdx+MtnXBr9p960jMbQwk07RRL5y49t5WNf2sOBoQw/+/d7+c7/dQfNkaUp1LWOkxM5nj4Zx3YcMiWDd21uZ3lTCNWw+Nc9Q1WN+67lMd5zawembbOsMXTJ6UZnJvPkVJNVLaFZg5irCc20+Na+USZzKkGvxHu3dl7wfL3W8OjBUdKGjE+ReO/WjupnexqW7fCdA6NM5Vzpg2HZPLhhAcOOi8DvkWkK+/DKEo1hb82mAbiyoeFUieawb0FW0hJq45lTCcZzBiICT5+e4oFFvldLuP5wfbUPXwfs7kti2i538cR4jqncef2OYdloplXRyIcI+2SeO5NgMqsykVP5/sExvn9wlJ+cmESbQf06MZ7jq3uG+O7B0Wp8yhKWsIQL49H9o2RKBtmyyaGRDIdGsm/0IV1zeP5MnGzZwLRsTk7kmcxdXKN8ZCTLP700wD+9NMCf/PgUL5yZ4uW+JNnShXWPQ6kSo+ky4xmV8aw7PasF3bQxLJvd/ckqDfzYWO6CWu0bHbppE69oQ8GdhD1xdJw/+uEpHjs8zjf2jjCcKi34+z5FAgcGkyWePR3n0EiGM5P5S3ruVwdSVZ3kRFbl9AK/Z9sO5cr9Tk3mSVX075phc2AoXfN3riYODGc4OprDI4v8hzuXXfT+AY/Ml392B8sag4xmynzyn/ZSXLq+XvPY05/Csm1M26ZvqsB3Dozyr3sG+cGhMbKl81KRs1N5ehuDrGx2039OT+Z56WyCiazKSLrE06emODScmeW7sac/yQ8Oj/Pc6Thfe2WIkr7w+ZBXjVn6/MvBqYl8Na2oqFm8OnB9dSTHK7p01bDY3Z+cd3u2bFQLeIAzFSPCWjAr++KFsG8wTa5sUNYtxjMqZybnP9ZUTuWru4f44ZEJvr53iLNTtdeoPf1JPv+9Y/zJj0+Rfg38OK5XHBhKky2bZMoGjx8ef6MPZwmvI5Ym8XMgSyJUBky6ZfPc6QQeRaTer3BgOIPtONy5spEdvQ0IjkBeNTAsG8dxKKgm/7JnEBA4Oprllx9YTaqo8+Sxiepm1nEmeeTWjjfs71vCEq4XpEoGVuVzUzJsChfYkN2MUA2LA0MZJnMqsuhqoWXp4tOqA8NpTo7ncIAT4zpHR7K0Rn0sawzxS/evqmpU56JsmAxVCs2ibjJRo2GwdyDFi2cTiIJAQTPwK+4lRhIFPNcZ5fRqIVsy+MarwxQ0k4hf4YPbOzk8kuWJoxOMZ1UmcyqbOqOcSxQvOIE6Ey9wbMxtZMXzKsfHc9x/Ce7s8pzXvdY5ki0ZfHP/CLmyQUe9n/VtEabyKumiTsAjc8tlZNgvFv/80gDgStQWYofMRUPQwz/+3A7e+1cvcXQ0x3/86n6+9Int8/7mJVw7KGomrw6msWwHRRJRTRu/IqGZFnnVrE60Z062D49k+MkJV37z3Ok4DlQlHpM5Fd2ykQRhljFeUbMYz6qsaJqfS350NMtPTkxhO5fHYJqGLM4+v643On2qqJHP2/gUiVU1ctuDXgm/R6o29ZoWYBmcncrzwyMTmLbDjt4G3rRqPu1+LF3mbKUJMJ5VeagGu/XkRJ4DwxlUw0KRRHpiwXnymPFMmb/46VkMy92gF1ST//auDZf3h9+gKBk206dktry0T7qZcH2tPK8D7l3dTNSv4JFFBAeG0yX6pgr83fP9aKaF48CLZxOUdQtvxcjJq0gosogyY3O0fygDuBesmaZE+Stw+VzCEm4mOHO+j+eWXG1n4tREnuawF58i4gARv3JJlE6B869tuqSTKRukSwYHh9OcSy48cQl4ZFa1hGgIeuio98+LfFINixfPJnAcl44pCgKxoIeIX+GtG1oXbA7c6Dg0kqkysHJlgyMjWUYzZYIVja/tOBQ1k+bIhd87w7SpC3jwVwyiTHu+nKEWbl8Roy3qq5rera6hHd9zLlmlMY+my4ykixQ1y/2nm695UZxXDR4/6kbXffwyo6x6YkG+9LPb8Skiz5yK8zuPHp01nV3CtQVRFPAprhZbFFwGCIBXltjeU8/qljC3dtfx5nXN1d8ZTJ5nqWRVg0zlXHUch8cOj3NmssDJiTx98fPrlyy6608t7O5PVtM3Tk7k56UuXAxrW8OsawujSALtdT52Lb/6MYuvJfKqy3DLlU2kGk09r+zS7Ne2htnUEeUdm2sbBj5zKl5lru4dSNVkczWEFHdPLYm0RLx45fnXgVzZQDXchoFh2VUW0EyMZErVAh7chsAS5sNZsuW6qbA0iZ+DlqiPT77JvXj89TN91YXFsh0M00b2uJuZ0UwJjyTywLpm9g2msRynkpvsfoIaQ+7FozXqozHkpS9ewCML3NLVPP9Jl7CEJcxDQJEoVCYBkgC9sZvbzXwuvIpI0CuzpaseOO8gnCholHWL9jp/TaPNB9e38uLZBImCTtgnE/C4lwFBEJAuMI1a3hRkWWOIWNBAEoWLmkmFfQqfuKN3cX/cDQTvHA2oV5Hobggwmi6jGRbpksH9a1tojfg4OZGjJeyjvkbxsaO3wd00e2UkUZhlEFXUTKbyGrGQZ54OOOSV+fBt3Rc8RnHO+55XLZY1Bqvu9a+1DOzHxyfRTZsVTUE2L2Lqf2t3PX/+4Vv57L/s42t7h+mo8/O5+1e9Bke6hCtF2CdX16qiZlY10l5F5O7VTcRmNCLHMmVMy6E16q1Oc6M+D4ZlkShoyKIwS2MdC3lY0xIiWdR508rGBb0bvLLINGFbEFhQp70QRFHgbRuvXyf8nlgIX9CdwE/vceeiOezjoYu4/QuCQKakY9mO+1rXuHz0xkL0NhZRDYuoT6lpUOvKJkJkSjpBr8za1vmNxrUtEeoDHsazZSRRYFtP/SX8pTcHZKFKIMYrL1XxNxOWivgLYE1rqOqOuqO3AVkScBzwSCL/8OIA4GCaDrrlIApwz6omDo1m8SsS/9e9K9BNl2YvCm7H2HGEeZulJSxhCbWxLObnyLi7cfMrAhvaX3tK7/WENS1hRitUxaawl13LYxweyfDNfSPops3Gjigfua17XiF/fDzHcKpEQTPxKhK9DX5kSWJVS4jeC0SOBTwya1tDPHV8ihVNIXoaZk/ifYrEfWuaefZ0HEkUePASqN43A7b21DOV1xjLlOlqCLC5I4JpO1i2w5dHM5Q0i+8dHuXVwSSKJKFIAm9e24JlO7RGfTRVov62dNfzGw+t4ehojjWtYeoDHp45NUXQK7NvME1Zt/DI4iUZ183FzuUNjGfLJAqu2eGdK2N841X3PBIEWN0yn3J7NfG9Q2MAvOuW9suiNc/Egxta+fy7N/DfvnuM//Xj07TX+Xnfts6reZhLuAq4d00zPzg0RtmwuGdNE2GvzMmJPOvbIzjAs6fjhLwSBdWsMhpXNAV589omUkWD1qiPr78yxMnxHA1BD7d01aEaNgIuG+nMlGuG+mJfko76QM0C/a0bWnny2ASqYbNreew1M8C7VuH3iFU21uqW2qkO2bLB4ZEMiiSytbu+5usY9kocGslgWQ67VsRqJgjEggpDyRKZks6aVjehZC7Wt0W4tbuOIyNZljUG2VmD2RDwyuzorePlPpugV2Z771IRP42gVyRfeUM7L5J2soQbC0tF/AVw35pmuhsCaKbNqmaXOqWbNr/8tQOkSwaWbdMXL9IQUEBwN8d1fgVREPiDx0+ysSNKSTfRKzRIcM17Nl5B5uYSlnCz4ORksfp1QXfYPTDfgOdmhiAI3L+uhfvXnS+Wv7lvhFMT7oxpPFvmrpWN9MwpzL/6yiDD6TKO42pS376plQfWtbKiKVST6jiN4+NZ/viJUxQ0k5f7k1iOw8/OmbTf0lXHpo4ogsC8Ysy0bJ4/myCR11jZHKLpJhFzKZLIu25xkxVKusnXXh0hkdc4OZ7j5HgeQYCz8QJrWsJs720gXTT48gv9dNYHkESB927toLPe1cpv7qxnc2c9g8ki394/CsBIuoRPkWgMedFNm2Nj2WoRf2Qky7lkkdaIjx299QsWyGGfwsdv78WynWrT52d29jCcLhELeWY55x8cdk31GsNe7lrZeMVU+1RR54UzCYDq67RYfOL2XkbTZf72uX5+41uHaY36uHPl4uOxlrB47B9K01dpMN61qql6XnXU+fnMPSuwbYe+eIEfVIy4BpMuXXpaZtI3VYAK3b6km9y7tplbuhR+emKSp0/HMS2biZyKKEBT2IcoCjhQfZ54XmMkXWJ5DU18c8THx2/vfV1eh2sRmzvqODSl0V7nZ1UNeY1h2Xxz30hVYjORVWt6Ob3cl6SkmVgOHB/LkSho8xIivn9onHTFsPDUZJ5XB1LcvXo2IzVZ1JnIqtQFPGTKBqOZ8jwvg/FsmUMjWfKaScmweOZUvMpCu9mRU22ECsHhXHJhg9Ql3HhYKuIvgLxmcnqyUHFbdjg+lkMz3LxLWRKxHXdTJgI2DtmyiW7YOEC8oLGxw41aGkyWCHhkziWKnJ3KE/LI3LOm6ZLNe5awhJsRhj1b13p27NLcuG82pIs6L5xNYDsOI+kSU3kV24aIX6ZUgyo5mdNQDQvbdtBFG8vmkhqLL59NMpIuY1g2oiDwzKmpeUU8uPTUWthzLsWLZxJYtsNwqsSu1puPlXRgKEMi7xoCjmbK6KaNVxERgGRBYzKnMpop45FEYiELvyJxdqpQLeKnMZwqcWYqT7ZsYFsOtuMwlikT8spVfe7ZqQJPnZgE3IJIlgS2drub3v2DKc4lSrREfNy+IoYkCjiOw4tnE/TFCzSHfTywvrl6XqiGxWROJaeaPH3SNRgbSZdRRLGmmdXl4KnjbqTr+rZITROyy8VvvG0tY1mV7x8a47Nf2cfXP3M769sjV/y4S6iNsUwZB7c4n0ZfvMCzp+KAw0i6jFeWuH3F7OmqKAqMZsrV78uGxdkpV59uVZIS2qI+BEGgqJuMpEqUdIsT4zmKqolhuSyRkxMF1rZFq8+7oikICNiOwzOnpvjh0Qm2dEa5fUUjYg150c2IL7/Yz3hJIOxTCPpk3rlpdvMsr5rVAh6Y9T7NxIlKIoqDK40oaAbNzC7iS4ZF2bAwLddITzXme3mcSxQxKi62juOuXXPXgqJqVdNXpq8htTCZU3n2lBth+KZVjfPWzquNgmZyLl6kLqC8YdF4DueVDNaSHchNhaUi/gJ4/PB41Tzj0YOjbGiPIAkCXlnE55GxLBu/ImM5DpZt4zjuZscBJEvgpb4EJc1ClgSePjWFaTuEvRJf2zvEqckcP/+m5VWq5BKWsIQL41Kc129G/PurwxQr3gHxvIaAW0iLglCT3uiTRQzLwcGdcqnapZltOrjrm2XbCIKAVmMzdngkw7On4oiiwIPrm3Fw2UurW8K8ci7FkVFXnlQfUFh3g2Z666Zdk3pqWvYsyWhDUGE4XcY2LMIeiYaQh/54gURBJ+KXKY9abO6IEgvOv0YUNJNkwZ1uFVQDryJV2A/n75MsaEzlVTIlg5BXJpHXyKkGX3r+HHv6kzQEPaxqDuGRRW5b1sDpyQL7Bt0ouUzJQBCgs96P3yPx7Kk4edUkUVDxSBIRv0s/zpQvzxCsFn5y0m00PLjh6sgvRFHgf35gM5M5lVfOpfj4l/fw9c/czsoaLtxLuHxMFy1Rv8LZeL4qOdzYEeUtFQlNqqhzaiJHumQQ8EgLynQ66wMcqFDmHcdhKqeR1ww008a0HJrCXuoDCkGPzPcOjeGVJc5VzOsEQUAQnFmGmZ31fqZyGumSjmE5VSPhkxM5fB55lo7acRxsh5q+ITc69g6ksWUfoiDwlZcG5hXxEZ9M1K9UY0E76xeiaDvumuO474dZw2uzNxbg6ZNTGJaNLAosb5p/Lkx7SJ3/fv6aVxdUWNEUYjxbRpFE1rXVbsx97+BY1cPje4fG+MzdK+a9x8mCxl89c5ZUUeeBdS28Y/PiGEBFzeSrewYpau719/51zWzurFvUYy1hCYvBoor43/u93+PXf/3XCQRmd53K5TL/43/8D/7bf/tvV+Xg3mikS+cdUFXDqhjbyWzsrGNtaxjHcUgWNYZSJRyE6gZNqPzrjxfdSYssVTbVYNkyzWGJkm5xLlFcKuKXsIRLRLxw5QXDjQRVN/m9Hxznpyen8MoS965tpM7vobshgO1Aa8RXc/IkVtYixwFJEDibLNZ49PlojfrwKhIl3aVcdzbMd6d/+qQ7AcF2+Ktn++muTEGOjmbJq0bVGT+vmTccE6mkm3xr/yiJvEZb1Md7tnbgld2Ypu8cGGUyp9IU9tAY8jCeVStu3HXE8xphn8z23hgnxnMIlUZxwCOxsiWELMGPjk3QXuevTsbrAh7WtYXJlg2KmoLfI1WNH8uGu4EVRYGBRBHbcdkahu2wuy/JeGWqlirqJApa1Qm6OCPCUTUsnjw2QW8syGRORZFEGoIewj6FyZxGpCIb80gi3z04SmPIS6fn8kdAmmlVqfRvXnv1TF+9ssQXP7Gdj35xN8fGcnz0i7v5xmduv6DnwxIujqJm8m97hihoJnal6J6WbhwaziAJ7mfbMG3ylUKqbFiUF4gHXdkc4uEt7YxmysiiwECyyNSwioNrPmeYDuvaIqSKWjWiMuRzjc/ymknI6xbmkiggCuBTFLyyRNin8MSxcXTTRhbdpmWqqFWlJ0XN5LEj7u07l8XmsQRudBimjSC5yRhDNSbasiTywR1dHB7O4JFFblnAxLS9LsBYRsV2HKJ+mfoaRoJ+RaKrPkBONehq8FPW51f6y5tC3L26kcMjWZY3htjaPf/5WiI+3rqxlQNDaXyKVNN0z7KdWeuYZtgYlo0kzpaJ/c8nT1XZa8fGcqxoDLJ2EZ47I+lytYAHNzFmqYhfwuuJRRXxX/jCF/jsZz87r4gvlUp84QtfuGGK+HVtYQ4MZRAEgc0d0Wou6baeet66oZV82eAvn+7DK0tYtk25ogO1bXfKFfIqlASTnGriV0Qs28FyoDcm4TjuRUU1rOrjLmEJS1gYQc9NIqK+RDxxbJJDI1lUwyJXNvjpiSneeUsbfVMl14cj6KG1xrS7PuhBFATsyhSlscaktxZkUaisYyKKJNZct5wZwYDxnEp3vR8QGM+qNEe8iEKUsmERC3povMEamPsG01Wq/HhW5fBIlh29DewfSnMuUaCgmpR1i/vXNfPQxlb+5tl+XjyboKCZpEo6XQ1Bgl6JbCWrvTXip6chyPcPjVPSLQIeCUl0Y+I2dkQ5PpYjWzaQBIFsWWckXaI+6KkaQNq2w6bOOnJlg6BXxiO516D6gIfRTBnLdkmY007Qa1rc612ubFDQzGo8lyKJJAsaDUEPXlnibRtb6Y0FUQ2Ln1ao9f3xInHf5Uc+vTqQpqhbNIa8bLzKxpVRv8JXfn4nH/m73ZyazPOxL+3h65/Z9ZrTa29kjGXK1SmnKLhRZdNF/ERO5eCwu1+ayqksbwxiOxDwSPMmqwXN5PhYDp8isrE9yvKmENmSjiQKWNP7p6DM2rYwty9vYDRb5uWzKTyKQMSrsHNFDNNykEWBh7d0VCfF/7x7kIPDCfKqQUm3kEUBB4eCZjKQLHF0NFd5foOQ12WT7O5Psq4tvKCT/Y0ISRKgwtaKLRBLGvRIdMcCeCR3va8Fq0KRd42bYX4wrLsWDqVcunxRNyvrzmzkVIP9g24U59GxLGtawzXNOe9Z3cSbVjYi1vBcAZdVsbEtwqOHxnAch4c2tdW8Tp2cyLusWQds2+DYeH5RRXx90G1mTscVxkI3zzm0hGsDiyriHcep+QE6dOgQDQ0NNX7j+sS9a5rpiQXRTZvlTUEyJaPqGAygWTb1AQW5YniXLZvuYobb4SwbFpZlY9vu1x5JpD3qY117hFRB58S4qyf6yG3dlx1xsoQl3GwIB5bUPzPhOFTjfRAENNPGMB0000I1bCYyZXKqMW9zuqIpxNNiHKuSqlErzqcWBAQkUcCvSLM2LtPwKRJ3rGjkpb4EAgK3dtczrdTzeyQe3tLOC2cSGJbD7StiKGr6qrwO1zrieY0jo1kcx900b+muY+fyGOmSa+ZUNiwUSeDoWIYH17dya1c9zREf69rCnBjPcXgkg1EpWDrr/YiCQHPYy8dv7yFTMihoBt/aN4JpOyiiQF41aIn4WNYUJDIg469Q7Vc0BakLeBhJl9gsRPF5JD60o6tqWhf0yvzMrm4SBZ1cWeeJoy7NvSHoYVljEEUWaQp5uW9NMx5Z5NBwZtbfmS5fmixjJqabAPetaXpN9MoNQQ//8qmdfOjvXqY/XuSjX9zDNz5z+2W79y/BRV3AM+OzL3Df2mbsSgEX8skUVLfAj4W81TSfsE+eFYeomzbf2DtMtuzup/YPprl/XYurca/8blEzqQt4uLW7nmzZ4MBghr0DSWwHNndG+b27N5IuGTSFPTTMaEIalk22bGBYNn7FLUJFQWB5Y7B6bADDqTLr2s470teoK29orG2NMKWKBD0iP3fHsnm3O47D9w+Pc2IshyjA3aubajrGi6JIV4Mfx3GbfXnVpGnO5SRV0vHIIoLgGqlO5OY3+05P5KvNId20OTySoTXaWvPYLyZ/+PGJKQ4OpXFwG03vrEGVrwsonJ6ycBwHPxLLGhfX2GsO+3jH5laOj+eJ+hXuuMkYHUt443FZu+L6+vqKDklg9erVswp5y7IoFAp89rOfveoH+UZi2Qz63VzqeyzoYVtvAweH0qi6hSKJGJYNAsiiiCwKlCpRQo4DggRBn0xL2IciukV7qqgzlVeXpgNLWMJF4Dg3n3bxQnjbxhb+549OupRRSaQ16uPVwTTjGRXLcciUdMYrjr8zcTZexHJscFz64UDi0uj0Eb9Ca8RHsTLhmmlkNY3bljWwudN1p9dNm5f6khiWzW29DTRHfHxge1f1viMjN1YRv62nnoFkqUqnn84798oiBdUkr5pE/DInx3MkCxqZko5pux4DhgUjqTJnJgv82YdvrW5UDw5lqoZPZcPi2VNxJnNuPvb7tnXSFvVxdqqAJIrV93kwWWJlc5jmsI8P39bNSLpMS8RbLdZ/7s5laKZVKe5nf6a8skRHnZ+OOj+W7RqFNYW97FoWm1dk98aCeBURzXANxpYvgqo+bZJ331Wk0s9FU9jLVz+1iw/+7csMpUp89Eu7+fqnb1+Ssi0CTWEv79jcxvHxXLVomZ7SHhnJVo0UI365Gm/pk6VZ5066pLuGjLZrFmxYNumSQXeDH810aA57KftkOup8vHdrO3/77DlOT+XRTLtqaPb57x2joJkUdZMdPQ2E/Qr1AQ+25bClqw7DdEiXNMI+peqO/+zpeHUKPJ2gYVgO23vrbzhpz8Xw+Xet51zOfa1rpTdkSgY/PTHJeFZFEFypTa0ifnt3lH97dRjTctjW00B3DWO3WNBL2KcADrIoUheYH+fn90gMJoukS3pVIrEYuNecRJUPcGA4S7KgzWMbtEV9SAIYDoQ8Ev4rYMOubA6zsobD/xKW8Hrgsor4P/uzP8NxHD75yU/yhS98gWj0PP3E4/HQ29vL7bffftUP8lqFILhUxJf7EhiWBbhGKQ5g2jZFzcS2K/ofwdUoOraDKAoMJV2tYnudr2oStIQlLGFhiDWoejcaLNstvkM++YJxb+Dq8W5b1sAr/UlKhk1BNSlqJomijlNJzpg2dpqJbEnDtCrER8ct6i8Fy5uCbOttIFPU8XmkqtP5XEzTF72yxFs31J6mXC/QTZu8ahD1KxeNUpNEgaBHIi0KBLwyUqVAzpZdkziPLFJUDV45l6Q+6CWe19BNB9Ptp2DZDmemChwYSrG9190w9zYGWd8eIV82yWtGNc9at2z+/sVzhLwyiihg2q72F1zt6DQaQ955VGZJFAh4Ln7p39gRvWBqQTSg8LHbehhKlWgIeXAKlxcBOZwq0Z8oIovCFTvcXwytUR9f/YWdfOhvd9MfL/KRL+7mq5/aOS8OawkXx8rmUE2TwE2dUeoCCpmSQW9joFK4zUfU73o4TOVUirpJfaWAHsuqbOyIMJXV8CoiO5bV41Nk6oMKubJBqqjj4Bo5FjQTs+Jgf3aygFcRaQn7WN0apqs+gFeGFc0h3nNrO95KE8HvkdhzLoVPFnlgXQthn2tKfLF19lKRKenIklgzB/1aw+rWCNtXL5zYoJs2/fECmbKBUPG+qIWj47nKPtdhKFWkpFtE/LPv+6ZVMR47PEaubLCqJcSmWrT1yqVdqDpKLe5aL4sCHlmsejB4JBFfjWMfyZQJemUcByxHYDKvso75x3VqIs9YpkxXg/+Chfq0ad9CEZ5LWMJrhctabX72Z38WgGXLlnHHHXegKFen+PyHf/gHPvnJT/Kd73yHRx55hKmpKT7xiU/Q19eH1+vlr/7qr7j77rsBFn3ba4G8avD3L5wjXXLpW6rpIEKFTg+CCIZBhdYjuB0/j8xLZxP0J4q0hL20Rn3IN6E76hKWcLlYDF33eoJqWPz7q8MkCjoBj8T7tnXWdOmdRlG3kAQBB9cIrSnsYyyTwan0DXXTYTxbAmZPUPJlq7pFsh3AubQNU0vEx4d3dHFmskBDyMOtC5gd3ShIFXW+uW+YombREPTwwe1ds5yw52LfQJrBSkZv31SBQyNZJFHg5f4EqYKOYdsUNYuJvEbEp1DUTJwZ7s6SKBD2yWTL52m/mzqipIo6w+kSpuU2eMCNUQIIemR0y6G7PkBDyEtb1HdJcYFXC9GAwqaA+3wjhcv73Zf6XEO7LV111ebEa4nO+gBf/YWdfPjvdnN2qsAH//Zl/vUXdtVklCxhcehqCNB1EUWlT5H4wLZOXu5LklfNatOpo85PuqRzaiJPwJKr3g4P39LBl57vrzYdbcFtUOqWg2m5UkXVFLHtMiOZMjt6G+is93P/umb8M5pVq1vCrG6ZXYhdrXL76ZNTFT8AuG9N84JGcNcLBNHds4qC4JoyL7BHPTCUwawwhYZSZU5P5Ni+bPb15qnjk5QNC9tx9fGHRjLcMWf6XzYsemJBeiq/WiuG7lIgigLvvqWdr70yjIPDW9a3EKwxJIv4ZEzLqTZxpv0RZuL0ZJ7Hj4wDcHA4w8NbBJbPib1zHIcnjk5wciJP2Cfz8JaOJYbPEl5XLGoNu+eee7Btm9OnTzM1NXV+2lzB5RTOAwMDfPGLX2TXrl3Vn/3mb/4mu3bt4oknnmDv3r285z3v4dy5cyiKsujbXgsUNZNkUUczLEzb1XOJAkiVjKeQR0HVbUTJpaJu6IwSC/oYzZSp8ytuVJ0ikSrqlzQZWcISbmaUtNoOxzcKToznSFQc+Eu6xb7B9AUn2bIoMJXXAJfdUxdQkEShSsWWRAFJqDFBEZzqrEMApItMmGfC3WjdHA7fB4bSVefhVFHn+HiWbT1uhWJaNkXdIuSVq6+3bs2+Do5lypydKqAZNpbjYNquB4FmOuRV1z/FI4kEFJGSYRLwuC7OM6mkoijMoprv6U8ylCoR8SlkZ8S7tUR93LvmtaOkvxZ4qc+d3L+ezuA9sSDf+MztfOSLuxlIlvjg37zMV39h501zTl8riIW8vPOWdjZ2RNk3mMbvkVjVHOIHh8er7t77hzKsaY0QDSg0h7xM5dSKr4S7n0qXDBzHXQdxbFTTneNmSjoFzeSnJ6dojfpoDr+2bIucanCw4g/hOPBiX+K6L+K9ksSatghDySKSKLCmpfYU2iO7Tv/g7nv9NVgIR0dzZEsGluOgWxYnxnPzivg1rWEODmfIqyYeWVy0w7ttO4iCwFs3tuI4DgGvXDPyszcW5PREAdN2aAx5qatR6I9WUjymMZ5V5xXx5xJFTk7kAcirJi+eTfDIrR2LOvYlLGExWFTluHv3bj760Y8yODiIM2eKIwgClmUt8JuzYds2n/rUp/iLv/gLfu3Xfq3682984xucPXsWgB07dtDe3s6zzz7LAw88sOjb5kLTNDRNq36fy+Uu70UAIj4FjySSLuo4OCiSUJkoOIR8Co0hD7plEfDINIXceJ7+RKHKFJJEAY8scHQ0y+GRLNt66mdRIZewhCWcx62L1MldL5i70biY2aVh2XTW+5nIqeRVk3hOY1tPHYeGs1i2Q3PEW7NAigW9iELeZQvharYfPzLO5s7okjfHDMx1ZPZI7hQ+WzL4933D5FWTxpCH929zJ/S3dtVzdqpAXjWpDyi01/k4MpIlVXTNByVBwO9XSBd1JNF9PLtiEtvs8/GZe1bw0Ka2C7pk71weY+fymMva2DdCIq9RF1DYep19NhzH4eU3oIgHd1r875+9nY99cQ/9iSIf+JuX+eefv421rQvTi5fw2qC3MViN/RvPzi6aZs5+b18R4+hYFqNSpC1vDNHVEGAqr7KnP4VqWIiiSNQvVynNjgMF1eS1lisrojjL6HMh6vn1hGhA4f61zRwbyyEILNgg/OD2Lr570DXV3NxRx6oaL7bfI6FbdqVWEKupFzMR9in8zK4e4nmN+qBn0ZIEQYDBVInDwxkcYH1bmFoM9xXNIe41HXTLJuSVCdR4vu6GAAeHMtXHnU5AmAkHODKaYThVJuCRiAU7F3XcS1jCYrGoT8pnP/tZtm/fzmOPPUZbW9uidSB/8id/wp133sm2bduqP0smkxiGQWvr+QlUb28vQ0NDi76tFv7wD/+QL3zhC4s67mkYtkNdUKGkW4g4+L1ufqkii9y+PMZPTkwS8sr4PTJjlVxgx3EYy6hE/Ap3rogR8MicGHc7eQPJIp+8c9lFI+d00+YnJyaJFzRWNIVqGpMsYQlz8b2Dozx2ZBy/IvGL965kzSW6kr9RkAUwZ/QII/7r23woXdT5/uExMiWDDe0R3ry2GUEQOD6W4+holqDXnUYNp8tVM7ELYWVziPGciqqbCLhF+87lMQRBoKRbbOqI4lXmL/HrWsO8MpDCtNy896JmcWoiT3+8wM/e0buglvVmgGU7PHcmzlROpTHoZSJbZiSjsqYlxOoWdwqzfyhNvuJ0PZXT+IcXzxHyyXQ3BPjg9k7GMyqdDX5EQeQrLw8hCAJtUR92xcFbqCg/FUWgpLk0U48sUR/wXFA+MRM+ReJjt3VTMiwCivSaOLu/luiLF5nKa3hkcUFvhdcSbVE/X/vMLj7+pVc4NZnn/X/9Mn/x0Vu57zpjM9xIaIv6uaUryqHhrNsU66njH148h2HaFHSTtqif8ayKJAoMJEssawzRGwsiiyKaYZFTTcI+hWzZYFljkFjIQ1PYy0RWpS6gXHaUr2ZaPHV8imRRY1VzeF6zad9girNTBRpDXu5d08Sec0lkUeTBDS2X9PiDySJPHJ3AtB3etLLxmpveP7ihlW099SiyuKDc5Wd2dWNaFkXd4oPbu2o2njd3RhlKltBMi7qAh/a62o1inyLRVcMYbyb+/dVhfnx8kpBP5j/dt7IGvd19XafX56FUCdOy5zVk713dzFCyhFq02NpTR3sNSc2KphCP3NrhauLrA3TH5h9buqhzerJAXjWQRIHj49kLHv/rgevrSrCEK8WiivgzZ87wzW9+k5UrVy76iY8ePcq3vvUtnnvuuUU/xpXgt37rt/jVX/3V6ve5XI6urq4L/MZ8iFUtI4BAc8THf33bWmzH4auvDDOZ07Bsh6Jm4JElpvIaJd01wNMMi6NjWUq6RUe9n1glJiWnGhe92OzuT1YpPMlCiuawl1UL0J2WsASA0XSJf3tlGM20EAWBv37mLH/24Vvf6MO6IKw5Uu1kTqt9x9cBZd2iqJs0BDyLLpieP5sgWaHLHx7JsrwpRMgr86PjE1VZ+trWML9474pLejxZFBnPqMTzruHTvsE0bVE/vbEghuXgV9zM8blTDQs3est2HEq6q48v6SZ+RSJTMuYV8ScnchwYyhD0yrx5bfN1Ydy0WOwdSFWnLy/3JQl5ZbZXptwnJ/Lc0lWHLLlGcrppkyjoeCSB1qifkVSJ7+wfwQY6on4+dFsXXQ1+PLJAnV/B75HpqvfxzX2jWI7DUKqEZTt4ZRHNtNg7kOKdt8yPQ1oIpu1Q0kxkUcAnzr9mOI7Dy/1JBhIlWqNe7l7VdFFzvtcLL/e7U/ht3fWXXVxdLTSHfXz9M7v4zFf2sedcip//x7389jvW88k7e5cMqi6AwyMZjo7mqAsovHlt86Lev7xqoBo2jSHPrNf6zWtbuHtVE5Io8DuPHuXslGu0kKlkyCuSAIKAJLhZ87s6Y0ji+XP6nZvbCPlkSrpFnV/h63uHqzGMK5pCdNYH2NQZrdkss22HdEnH75EIeGRe6ktyenJ6n5WkOeJlRaVo7I8XeO606+kwllHZ0dvAp+++tHV7Gj86NlnZD8LTp6ZY1RJ63WSVB4fTjBQyNAQV7l2z8Hu4UIb8NJ46MYWDa5T51IkpuhoC8x7rjhWNjGfKFFSL9nrfoocHZ6fyfGv/CI7jmoX+zbN9/PH7b5l1H9txKGkWToXuWjIszBr5gX3xArYD9QEP/fEity+3avqdLGsMzkqomn9MBXTTzZt3HDe68I3GjWj/ezX2XzcqFrVi7Ny5k7Nnz15REf/8888zMDDAqlWrAJiYmODTn/40X/jCF5BlmYmJiepUfWBggO7ubmKx2KJuqwWv14vXe2UGFNPn0nRsiYj7oe+LFzg26tJ5NNPd7HXW+xnLqOQ1E0USCNsO/fEimmmTLOg0hb3cs6aJhgtQKadRnKMNLtzgWuElXDlyZYOJXJlMSUcURK6RvfwFMfdipNuLM7u5UgwlS3zv0CiG5dBR7+e9t3ZcdjEUz2v0TeXJlc1qGoVl2+RUA8O0yZQNvLJI9jLM+05N5lF1E6vSAVANi6F0kXTRzV9ui/qI+GpM4tsiHBvLkS3p+BSLnKpzeCRLW9RH4xyqY7qo8+TRySpV1LadG0bzN5wqMZXXqrFIiYLGePZ8hrHtOGjm+XNuejO4sinE114ZJlnUEASBWypGcqenCkxmXZbVcLLEQLJEe52P8axKxKewvClI2CezsSNKXjUQcCfS04yIi02hZiKvGnzj1RFyZYOAR+ID27vmxWSdnMizpz8FuEZ4QY9cMybqjcDLFVO715tKPxd1AQ9f+fmd/M6jR/jGqyP8vz84zu7+JH/8vs1V1/QlnMdEVuUnJ9xYwMmciijA2za2XdZjnJzIVdeU5U1B3n1L+6xCfnptPZcoolViNBTJ1WVPx8xF/AoPrGtma0892ZJOpmSwvj3CyuZQ9bH29CfJlg2Oj+cYTpV4qS/J+rYIJyfy/OwdPbMKZst2+O7BUQaTJRwHbumKMjZHEz1z3zV3nU4WNQ4OZ5BFgfVtkUsqNGYWl45zfh/5euDFM0l8wRCTORVFErl/3aWxB+Yinj/fWFcNi4JmziviG4IeLBuKhnubz1P72pktG4xlyjSGvDXN4XKqgWm5jWdJrL3vFQUBSRKqzen6gGfeFB7g9OR5F868ajKeLc+b6l8K6gMKBc3CrPih2K/je3izYOb+q7Pez3sWsf+6kXHJRfzhw4erX3/uc5/j137t15iYmGDTpk3zjOM2b9580cf7xV/8RX7xF3+x+v29997Lr/zKr/DII4+wZ88e/uZv/obPf/7z7N27l9HRUe655x4APvCBDyzqttcChuUaRMmSiCicLzq8sshYpkyqaIBj4/fK5DV3Ah/ySli2g2nbJAoaAY+EILi/s7W7jhPjeYJe6YILyuauOvriBQzLIeyTLzqFTxV1BFjalNzE8HskUgWdkm4CAtnSje30fjWx51yymtU9mi4zkCzVjFhaCFN5la+/MkxBMzk9VWBZLMDWnnqWNYYoaiZ9cTcfF1yH5qFkia4G/0WngX5FIuSTUQouPdunSBRVk7FMGcNykEWh5mR9W0895xJFMiWdyZxKLOjFdtzNVqps0DFj0l7QzGoB7zgOewdSjGbKxIIe3nlL+3U7lT89meexw67zcEEzXb26R0I1LBzHjQrtaQhiOw7pok5PY4AN7a5m+sREzo3Zwn3/cqpJk+JKpRRZwLTsimO2RdincEtnHb1NAXpjAXKqSdArE/TK2A6cmcyT093rwuW4/R8by5GrFBIl3eLQSGYeFXyaUjqNnHptNHtt22F3pblwxxtcxIPrPfFH79vMurYIf/j4SX58fJKHRp7nCw9v4MH1LUtT+RmYG1k585zKlg0eOzxOuqSzoT2yoI56T3+quqb0x4tM5FTaovPpzD5ZZDDpFolNYS+/dP9Kzk4VGUgV6a4PsKW7nrqAh3vXNPNCheU0ldeqvkJ+j+RO8DQT3bTxeyQSBZ0ewyJdMmYV8SPpEoPJEqZtc2Qky7GxLF0NAUzbJhb0EvUrs9b8Fc0h9g6kKGoWogADiSIvnU0gSwJvWtnEQ5su3ti4Z3UTPz7uNjO299a/rjKmwWSRXFzHr0i0XoEP06rmEEdGXQp5Y7i2QdwPj45zeiqP47jsph3LGtjeMzvCIFXU+dreITTDRhIFHtnSMY++vqophGXbJAsaogB3r26a91yO4+CVhep1yaeIWLYNzG4sNIY81YQPSRSoX2B4NpVXmci652etxoJhOTQEFIq6hSwKRANX9h7mVAOtBkPlZsbM/ddIusxgqlRlxCzhMor4LVu2IAjCLCO7T37yk9Wvp2+7HGO7hfBHf/RHfPzjH2fVqlV4PB7+5V/+pdooWOxtrwUUSXTN6SQRBNclVatQLIua61jvOOBzoD3qI++VyWvuxSNXNrBst6DyK24h/+LZ8yfrruWxBacUHXV+PnFHL9mSQVPYe0E62wtnEuwdcDdMty1rWNLP36QYz6gIguB2pQUo6W/MVPtyMDctNhZ6Y5pQc3V+3osYzs3FULKEaTuEvApbu+tY0RTk4S0dCIJQ8bUIklO9TORUXupLklNN1raGL7oR7G7ws6wxxFhGxQG299ZzcjxfnRj1xYuMZUrzJryyJJIo6CQLGgICDSFPNWN87t/WGvXREvExmVOrBm26aTOeVXnxbOK6zYHvmzo/iZnIqgQ8En6PH8t2yJZ1fIqER3bX94BXQjdtNMPGp0izcqWDXpn71zXTXufHqwh8e/8oumnSEFDorWxCi5rJoaEsw8kysiiwoSOCZticmczjkSUEwUYUBH5weJxtvfPzuQYSRUbSZdrrfNXm7tw1v9Y5ubolxP6hNGXdQpGEahPijcbpqTypoltALNaF+mpDEAR+7s5l7Oht4Je+doD+eJHPfGUf969t5vPv3nBZLIkbGV0NAbfZV9QRBFfvPI3nz8SrhdGBoQy9sfOmdTPhU86fq4LgFtD7BtKsbQvPyuJe3xbFchwsy2F1a5iAV2EwVeL0RIGnT8Z5/kyCt21s5dh4Dq0SSfb9Q2N86q7lAGxsjzKUKtEXL9AY9iIK7nOHvPI8c7XpNT5XNtFM93Me9SvUBxTuX9cyb58V8Sl8bGcP49kyAvDr/36okhQiMJZRL6mIX98eYXlTEMt2CL7OzdB4XqNYMWMuG4vfr9+/rpmWiA/VsNjUGa05IR3PqNi22xjVTIt4DVlcX7xQfQ8t2+HERG5eEZ8s6tQFPOiVBrVWI4ZOrCSyTE/fJVGoXttmYlpCkFMNNnVEaw64hlMlvnNgFMt2n+/92zvnNZtWNofwyCKGZSMJ4hWtE0dHs/zkxBS247CyOcQ7Ny/eb+xGwpXuv250XPLKce7cudfyOHjmmWeqX7e0tPCjH/2o5v0We9uVYjhV4kfHJ7Fth7tXN1V1PevbIwwmS4iCW4z/1dNnGc2U0U27otVyN73dDQGG0yUEwZ1EhH0KDUGFsm5T0EyWNwWZqFAxMyWdb+8fqZj+1NX8IEd8ykWzdQ3Lrhbw4Oo9dy5rWKKi3ISoD3oQBQfdsBFFCCxAabuWMZO693ri3tXNlPRxsmX3gn+5F+ppc6XJbJn6oId7VjdVP9NRv4JpO+RUl0rYEvaSVw1OTuS57yJ601OTBWRJwKu4RWZRswh4JBRZxHHAIwnoxnx631d3D7G7P4FpuXrs9jofHfUuO2CuVlSRRD6wvZORdJnRdIm9A+nqbbp57TeCFkJzxFv1FfHJApmyTiKvYdgOyxqDNAQ99McLlHQTURBojfo4PZVnR28D23vrq9T7noYAty2LkS7paIbDnSsayWsmrWEv96xpZjyrEs+rFCpRdabtEFBkHlzfyDOnpsiWDWzHddwuaPPZMYPJIo8eHK16JrzrljZWNofZ1BFlIqsylCrSEvaRyGv89TN9tEV9PLSpFa8sURfw8PFdPUxUTPqudEp0tfDSWVcPv2NZw0UTGF5vbOyI8tjn7uL/PH2Gv3uun5+cnOK5M3E+trOH//TmlZdsPHijwqdIfPi2LkbTZSJ+ZdbrYcyJWJwbuTiNW7vqePFsHwXNZEVTkN/61lHKhknQI/NH79tcTSGJhT1s6XK/9sgi8YJGQTWr0V/Jos4r51IIwvlYzaJmuTFjooAoCrxzczu3dtez91yKyZzK6pYwW3vO+zCcnSowni3T3RDg9hUxXjqbIOSVqzrotjo/7XV+njsdZyxbZnVTiNY6P80RL0GvzMrmMH1T+Wo0KDiMpC9dF/1G+UE4OHhkEVkUqoyexeDMVIFnTk1h2g5lw6o5He9u8PO9Q2PopkVDyMvK5vmNnfqAUo3t9CniPGkQuNcb1bSrU/acOv+4bQd6GwNMVOIIe2LBmhpxjyyypbuOomYuGEHYFy9g2Q6O42DaLmtkbhEviQK3dtczlCoR9MisuAyG3lzsOXeeoXJ2qkA8r9G8lFY1a/+1uWMpQWcuLrmI7+npeS2P45rH40fGqyYkTx6boLcxQNArc8eKRhqCeTTToi9e5Ph4jrJmIkkiEg4CAmGfQrKoo0giq1vCOLhNgYJmktdMLNvmxTMJ8hUzlpBPpjcW5LnTcSRRYMsiXUslQcAji9XN9jRzYAk3HwIeiYJmYgLYkK1xAbzWMPfiq0hvzIYnGlD4yG21vTUuBbmywTOnp8iVXdPKu1Y3sr0ycZ3u4hc1k3zZcL/W3WL8h0fGaYn62LUsVlNj6VNEjo7mqhOmyZzKlq461IputL3Oz6Yud1Jm2w4vnE0wminzUl8CzbARBCgbFt0NQX7uTcsWPH5FElnWGKSjzs9wusxEVsWnSNy2bP7U+FqAbbuZ7BcqELd21+M4bmMo4pf51r5RVMOVPIHDYFJgKq8yknYnbR5ZqurJvbLEw1tcXwDHcXjlXIpziSKTOZWWiI+6gIfGsLd6/yMjWZ46MVl97mlGSWNIQRIFHNvVxE9PBx3H4cWzSYbTJTIlHdt2qk2f4XSZlc1hJFHgbRtdFsTB4QxPn3R1yucSRV4dSFcZV0GvfM1RD6dN7W6/RvT5c+H3SPyXt67lPbd28IXvH+f5Mwn+8aUB/v3VYT5113J+4e7l162MZLF49vQUBTvDssYgu5bHasr9blsWYyyjops2HfV+li9gCLZ/KFMtkn98fIKC5jp7F3WTb+4frhbx79zcXi0Q71gRw69IiKJbOFm24xrQeWWWNQY4NeEya27pis5aKw8OZxhMFmmL+nh4y2zt/bSkxrIdvvbKMMubgtzaXcc7NrdxbCxHxKdw1+pGfnBojK/tHaaom+TLJnetjrGiKcyHdnRxciLPk0fHcXCNRr2KSE9sYSO0ubBsB9txauq2X0vYNuTLBl5FIuhd/HX1udPxqrZ/32CazZ3ReRGZA8kSEb+MaUl4ZZG+eIlVLbNZQU1ht6k6ki5TH1T4yI7519vmiI8NbRHGsyqKJFQNR2dCEgUGk6XqnvdcoohHmn/tPDuV5/EjE5XrpI/3be2cN9wKeWWOjmYpaCZhn8u4mguf4pogNgQ97tc10mAuFT5FJFfp/wgCeN+gBs+1hivdf93oWNQZ973vfa/mzwVBwOfzsXLlSpYtW3hTeL3BcZxZUyfLdipTLHjbxlY2dUbJlgx+//ET1UU56JUIKBIIAp11Pta1RciWDQaTRTa2R4nnVIZSGkXNwrCsSuiQqznTTYuIV+aVkrvpv9wifrooCPsU3rGpjadPTSEA91UirZZwbcNxHLJlA79nNnX3SvDU8Un0Gay5RF5f+M7XCGQRZg57G8PXjqeDZTvkVYOgV77oBuyfXx6ouogbps0/vjTAu27pQJFEprIqkzmVTEnHsG08toQkQrqkczZeYCBZQhKEmoZkq5pCOLhZyB5ZJBiW+ejObnYtbyRT1nnz2ubqhurgSIZ9g+4UXRIFBMH9f8CzsKfG0dEsB4YzhLwS969rIeJT+ND2LrJlg4D36p2bVxPn4kW+tX8EcOUFC+lyBUGoNlL+8PHjhLwSYZ9MuqSTKGiEvS4jSgSESlFweCTDOzfPdo8/OJzhpUreuSi45k5dDQEeXH/eKMqwbOJ5laJu8dDGVta1uRvY5rCfta1hyoaFX5FojrhTniOj2SqDKlPSUQ2b1qivEk9a5isvD9AW9XPf2mYkUUCbQ4e9lhkSlu2wu/+NyYe/XKxsDvOVn9/Ji2cT/NETJzk8kuV//+QM/7pnkF9+YDUf2dF107Dajo7k8AVDTGRVGoIeVtdYMzrq/Pz8m5ZR1i2ifoXd/Un64gWawl7evLal2lSbOaH31zBBm0ZT2MsHtnfRHy9Uo9jWtkaI+D0MJAr0xoLcv66FnliAzZ1lJFGYNSk9M5mvNrf640U8ssitM+IMh1MlAMYyZRIFDa/s5r03h328d+v5vO/9Q2lsx3G19ZbFZFajPuDl5ESOZ07F8cgS27rrOTXpemW8f1sXpmXPOjfKuoVu2URnaMbPTOZ54ugEluNw+/LY62o6WdRNDEFCNC3UGrT0S8XM/aQgULPZLEA1fQlqG/g9eWySgmZSF1BwHHj04Ci//MDqWfepC3j44I4u9g2mCXpl7lszf+qvmzZ5dYbZq26RLZvz6PKvDqQxLRvbcdMFhtPleS70Bc0gU7keWLZvnscIgFcRKekG2bJrUHsly8GD61v50fEJyrrFzmWxWefKzQ7VsFANd11ZqmFmY1FF/COPPDJPHw+zdfFvetObePTRR6mvf/0zYK82BEHgjpWNPH8mjuPA1p76qoZJEAQ66wMEPTqd9f5qxERTyMuyxiC27VCsVE9Rv8KKphCaaZNTTWwbLMtBN93CXxIFfIpA2bBRDQufR2A86zqKz+1uLoRsyeDf9w2TV00agh4+sL2Tn7vzxmmo3OiwbIfvHBhlOFXCI4s8cmsHHTUyTC8XUf/szZLt1CKZXVvwKVKVhiyLXDMbZtWw+PdXh0kUdEJemfdv67ygaaR7MRawHBvTcsiVDL62d5gPbu9ENSwOjWTJVabwdX6FzvoAI+kyUuVilSrWbricnMyzvaeOl/tTFDWTgFdiWVOIW7rmr7kzNyCbO6PUBzwEvBJrWsM1J+qpos5TJyZxHEjk3SbQe7d2IorCNWuQqRoW/+vHp4jnNTySiG7ZbGiP1jQkmsZoxjXKGc2UCXllLMtGruauC1gOSI7bWJu5EZ3GzPemKeyjNeqlKeQjUzZojvjIqwbPnYnTFPbRBLPc79+/rZOTk3mGUyW6GwJ8YLtbOMx8r+oCHtrqfLRGfBRUkzMVLX+ioBMNKOzobWBjR5Tj4zkyJTdOcLHMrdcDx8dy5FWTsFdm4zWi0b8Y7lzZyHf/4508cXSC//HkKfoTRX730aP844vn+M2H1vHAupurOX4h+rVPkfApEqcn8+w55zaiEgWdoFfmrlVu0XX78hg/POpOQT+4o4unjk9Wi6hHtnTykxOTBCvRjrIk8uSxyQpLxnUV/+y9y+c1EGtRbJNz1s2562hHvZ/DI1kmsuWqE30s5JmnEe9uCHByIo8oCAiCQF1FlhJQ5KrMxSOLeGWJVNHgJycmmcyp1enu6eli3XZY1xapMmh+enKqOsV+qS/Jho7o68fwENw1zUaomqouBm9Z18LjR8fRTZs7VsRqSjw/tKObwSdPkldNVjSFuH/t/Mbq3NpfXODztLolXLOBNA1FchvUcuUBbVwW4lxkijqPHRmvskY+ctv8eOkDQxmm8hq24zCZUzk8kpnnKZXI6+RUN2JONe2q1GMxaAp7+djOm5vxXAvDqVJFjmHTEwvw8JaOJUbxDCxqxfjxj3/Mb//2b/P7v//73HbbbQC88sor/O7v/i6/8zu/QzQa5TOf+Qy//uu/zpe//OWresBvFLb11LOqJYRtOzUL6rqAwq7lMVojRUq6RbKo0xrxIYmucYhl28TCXj6wrZN/2T2AbTukSnrV4V4S3X8Rn4KNQ1udn9aoj5BXqZlzuRAODKerm8BUUefISPaaiRVawsVxLlGoTgh002Z3X5L3beu8yG9dHA3B2dqq68EcJFBxF3YAjyQSvgLa39XEsbFsVQNZ0Ez2D6UvGNHzH+9dydOn4oykSkiiwJrWMGPpMgMJN4ZMNSysCqW6bNisag5TF3DdaQWBBSfl1rS3RsBDyCMR9Xv41r4R3ntrB7rlzHK4Xdca5uhoFt20aQx7+fm7luGr6KZrXRCLmsnMPs/cWMtrCW6j1OTEDFM/3bIZz5QxLZunjk8ylddY1RJixxzjuGdPxVnZFKKsWaTLOmtbw5yZKjCRVfHKIoJPxnIcYiEv23vnN0dWNYc5OppzXexLOkXNZCKrcWQ0i7xFoCHowXFchlVeNWc1z6IBD1949wZG00U66oNVt+w1rWEODmfQTdv1Remqw6hoTmdiOmIp6JX5mV09ZMsGEZ9yzenMZ+Llfjda7rbrzJtFEAQe2tTGA+tb+LdXhvizp87QFy/yC//8KnevbuL3H9l4Q5vfTa8Rfo/EquaL53zPjf9KF3X2D6XxSCLr2yJ8aHsnOdXVxH9oRze2bVMybP7ppQHyqkuvz6smD6xrrriLu7AdB9N0GErmcXDjHheKc1veFOTVgRSG5XpOrGgKMZop45NFAh65Urg7eGSJ+oBCoqDxyrkU76lEaJqWjQN8dGcPDjCUKuGRRHpiAda2RVjdGiZd0nnudJyRtHubZTucSxRpCHoZy6h0xwK8cCZRnT6fGM+xtaeuqsOeNj9+vT+z+bKBJrpeKuUFJvGO41So6+KCjdDuWIDP3rOiOryrhdWtYf7PR7dSUA3qg96a15u3bmhl/1CGsUyZ+oCH926tHWM6mimzpz9JxCdz1+qmmmywe1c3cXQ8Bw6sbQvXPD/OxAs4jsseyJUNRtJlWmskJEyzcH2KRK25h2nbqJUhnWU7VcntYpAtGzxzaoqybrFjWcM1J4N6o7C7P1lllw0mSwwki0uvzQwsqoj/5V/+Zf7u7/6OO+64o/qz+++/H5/Px6c//WmOHTvGn/3Zn81yr78RcCEjOUEQeHhLB0OpErIg8MUX+nnuTBxJcLU1mbKBYTm8dCZBvKBxZipfdaJ3cKd1iiTg94i01wVwcDu1AY/EyuZQNZv54HCGM5N5GsNe7lrZSLyg8dOTU9gO3LWy0XXKnwHlGt7QLWE+5lKzr9b7N9d0qJaz67UGCYfKRwTDtGkIvP6mUlM5lf1DGXyKyK7lMXyKNP89ukgxcjZeQABE0X3dnz+T4MxUkUdubUcUXaqlYdk4jkNZt+iLF1jXFmFzZ5S2qNvMq4WmsJcjo1lOjOdwcCcBYa/E/zfpxvls66nn/ds6EQSB5oiPn9nVUzHL8V7UFLMt6qMt6macCwKzaKjXElTD4lv7R5jKaRQ0k7Y6P4OJoku9bQvTFy9WI5DGMiWOjGSxHYfVLWHuWuVOVUzL3c35FZlEQWc0XcawbUTcDWid3zOL5us4DgeGM0xm3U36R27rYjKn0Z/I0x8vYdsOo5ky3zs4xnu3dtJe5+Pb+5MIgnuufPmFfsq6RdAj89OTk6RKBk1BD3/wvs201/lpDHn5+O09TFVcnJ84Oo5hOdXPsCK52tuZbvOKJF4Xpmsv910fVPqFoEgin7i9l0du7eBvnunjSy+c47nTcR780+f41bes5ufu7L2umhOXig/f1oUuumvCpTipr24Js3/QHSi4OuUiffEi4Bp4DSaL6KZdXaNEUSSZL3NsNEuyqCMKAooo8Jb1Ldy1qomnT01h2w5eReQ3vn2YomaypiXMuvZI1Z9iLprDPt6/rYsfHZ9AEUV+enKSbNmN4Dw1mcMriaxsDqNbNmG/gigKeGWRP37iFJ0NfhzHXWPvWtVYdbyfi53LYyxrcmnYZ+MFMiUDB7c49FcmwDOv4YIASsUtvTcW5J93D2BaDg+ub503hR9OlXj2dBxw4+iuZpMoUzKwZAlBEMiV5xvGOo7DDw6Pc7bC/LlzZeMFPVAuxkSJ5zVSRR1ZEmsOwcI+hf/nXetJFnTqAsqs+L9p5Mo6f/zESSayKqIoMJwuz2OZus22djyyhAPcu6ap5vXZsOyK9NUtvo0aEqSmkIepvIZpudGhLdH5xx31K8RCHoZTJYJe+YKsSdNyU0gWajp99+Aou/uSmLbDmak8v/LA6tc1dvBahSQKDKdKaKZFU9g3r8a52bGoIr6vr49IZD4VLhKJ0N/fD8CqVatIJBJXdnTXGSRRYFljkPFsmcFkEVFwM3yHKh9ww3LYP5ShJ+avanYARKCgWTQEPZQNm2xZYzLn6uULmsmfPXWaN69t4thYjm/vHyXqVxhJl1FEkRPjuWrX+7Ej43zidteNeDyr0t0QYHNHdIGjXcK1iJ6Ya65zbCxH1K9wz6r5uq/FYHf/7M/ilYVAvj6IF89Pc0wHDo1kXtfnL+sW39w/Um14ZMsGD2/pYEN7lOFUmYFkkZaI76IGbz8+PslkTkM1HBygbNgkChpHR7Iurd0jUVAdDBwKmsnegRTHx3L0NPgvWDyPZ1VKuolXFrEch1RRZ/9whvqAS98fz6rctqyharQU9SuXrLOTJZH3b+tkvBK/FrtGC8RjY9lqsRvwSHhkgdtXxGgKe3l4Swc/rWhiAfoTRV48m8Qji7xyLkVjyMvdqxv5kx+nKOsmsZCXk+M5yoZVmdI49E0V8Htk6oMePBVjxcMjWZ495W6uT07kefeWdjZ1Rgl4JfrjJQZTJaZyKtGAwqMHR1nWGGRrdz2iABM5laOjObobAjx2ZJzBpKvVzZYMvrJ7kN9421rgfPrIi2cT1WavIomsbw+zrjVKQ8hz3ZmrmZZdTTfYdZ2zwyI+hf/6trW8f1sn//d3jrC7P8XvP36CRw+O8kfv28zGG+y6WxfwEIlc+vQrVGGHTOU0HBy+vX+0ettjh8eqhdXMNcqopHSAO3HPlN31/5auOla3hOmPF/jh0YlqSslgqlRN5pg5yT49mSevGqxsDnNgKE2y4DJk9g+lCSoSh0azaKaFV5bIqyY9jUHieQ3NcPXUUb/N8TEDWXKp88+fSbChPVrTSX7fYJoXKoOZuoCCgMCK5iBvXttcnV6/ZV0LPzw6Ttlwtc7TcqT+RJFt3fU4uE7redWoFm227fD9w2PVa88PDo/z2XuWXzXZhiC6038BGE6r827Plo1qAQ/w6mBq0Uamx8ay/OiYa+zpVUQ+dltPzaQMRRQJ++QFvVamGVLgvj6vDqRqSkVXt4TQTAvbgbWttSU7PQ0BDg5ncBwHnyLRUT+/+P7uIbd56gC66fDd/WO8b+tsg7VpQ8ZihTG4EPYNpnjhTBJRgLdubK0pCdh7LlWVgOTHDOJ5bamIx73upUs6mmlXjBivr+vea41FvRrbtm3jv/yX/8I///M/09TkFhnxeJz/+l//Kzt27ADgzJkzdHXN15ncDMiWDMYzqmseYjlopk3Q6+p+NMsmXzZRRBFTsBAEAY8EiizREFQoaRaTOZ1U0aXaK5JI0tL5weFxDo9kGUq5MXUb2iOkS/os+o4bayfMMmVZwvWHe9c0L2jItVjkapiyXOtw5nytm69v6yGnGrMYC9PFoiQKvGPzxXOAp1HUTXTTnv33OA7jOZUVTSHXtKVyuyTYVROXA0MZ7l27ME2/OexFFASCXhndcqN3wl4ZKiaZqmHNo7VeDmTpynJvXw/M1E6KgsCu5Y3cMyPmaGN7lL6pAqbtmsJpho0sCWTLBsfGsnxgexc7l9VzeDjDSNr1H5mOfDMtMEQHP+6avrs/yabO6Lyow3heY0VTiBVNId67tYN/3TNEY8hD2Kdg2Q4eSawWGbYDoYosRDftqq+Mg0Oxxme0fs7UqjXin5effL3gSMXpOepXWN92fejhL4blTSH+7Rd28e+vjvD7j5/g2FiOh//yRT511zJ+5f7V1WnszQifItEdC6CbNkGvRLHibzJTUjJzjQr7ZDa2R0kUNBRZZF3b+ULHX4nOlMTziTu24xD2ySgz3Md39yerbI9XB9Iz1geH4VSJkm5S1m0kyfVvShR1PrKzm7NTBU6O5xnPlhnXzIpJm0iubCzYwCzrVtUnqS3qR5EE/uA9K+fRxVujvprFpiy6GnuBiincjLXMcpxZ1x7VsDBtZ9bfeiUIeRUcWUYUobNu/nrilSUmsypHx7LIksC9NUzkLhUzmwGaYTOUKrEpMLvJNZNRFfbJfGBb17xCvyXiwyuLaJWpeS36O8D3D48xkChVnjvPh2o43Xc1BHnn5jY00yHklWoW4GPpcvXnDm4yyFyMZ1QKqlltjp+Zys+7j3ueJHAcd/1/6sRkzSK+PuhO/sGVSL1R8YPXGkq6yebOuur3qaJWM4LwZsWiivgvf/nLPPzww3R2dlYL9eHhYZYvX853v/tdAAqFAr/zO79z9Y70OkLA615wBN01qpNFhZJuIQkCLVEfPQ1BOup9HBnNYVg2QY9ETrU4PVHAwaWy+hQJ1TCQRIemoJeT43m8sogiuZFUubLJ+vYIDUEPr1QMZDZ2RGvSkC4FjuMwmHQXvp5Y4KYy6lksnj8zxeGRHCubQrxlfcuCNKlrASuaLj325lrBspif/kQJx4GwT2Jbz5VP714dSDGQLNEe9bFr+ezotunPgCC4ZkYNQQ/1AYV0yZ0OraiRb3spWNsaIeSbwCjaTG/LHGBLZ5QTE5XJb+XnZmXq6lMkWhag0U+jsz7AL92/ij9/6gym7bC9p57exgDPnUlgmA7dscBlxR1dT8irBpM5la56P8ubggwkSrREvOyYo1vvjgX4mV09PH5kHMOwGUmXkCuReZpp86NjEzxzKs5QqoRpO5U4ObFiYmVXCwdRECjrJuPZMh31fo6OZXEct6HTO+M17okFecv6Fl444zJfAh6JN61qpL3Oz2imxJ0rYxwdzZEtG2zvrWfPOTfloD7g4ZFbZzvfA6xvj1DSTYZSJdrr/GzuvH4nvLv73evUzmUN1/RaebkQBIEP7uji3rVNfOH7x3ns8Dh/+2w/Txyd4A/fs4k75phh3WzwyCLv29rJvsE0HlmkIajw7On4vDWqJeLj7tVN7sTcK/PmOQ3M5Y1BOuv9lHWL8VyZ23obePumtll7lf4KZR9cXX48rzGQKOLgVJJ/HGxAqHiQ1Ac83L+uhYJmIUsiQa9ryhcNeMCByZzG+7Z1VUxWTX54ZJy+qQJeReS23oZZOmlRFC7LcOst61t44tgEpmXzplVN1Qlj31SBn5ycqnoDBDwyW7rrrmoM3f3rmjk8qdMY8vLb71g773bdsnm5P8lEzpVTeSSRX3lgcc8V8sqcGM9R1i1iYW81YnMmjo3lqk3yvGry6mBqns9MZ32AR7Z08OjBUSJ+mf9wR++8x7FshxNjeYZSJbcxqpmuSfScgnjX8hjxgoYi2SxvCtJVwxjx1u46Jo5OYDvuAG5nDSaC3yNhO67szqOIRHy1i0vHcUiXDDf9QKndFHpoYxuyKGDartyrZSkjHoCuhgBPHZ+kqFusbgkt2Ly5WbGoim/NmjUcP36cH/3oR5w+fbr6s7e85S2IFb3PI488ctUO8npDyKuwc1kD45kyluN2GZc1BpnKa5Q0i/XtESZyZSzbIeBVODORYyqnu46hQDxfpi7gxaeIRPweYkEPmZLO0bGsq32sGORNT39cwz0W1M5OQzUsbNvhR8cnmcqrLG8McX/FWffJY5OcGM8BsLY1zEObLn3SeDPilXNJfv+xkxRUE58iopkW715Am3ctwLKufQ38XPzS/av5i5+eQTdt3rqhlZYrXLxPTuR4vlJcDVeomNt66rFthx8fn+CxIxPopsXK5jCbOqO8dUMrH9rRzYmJHH5FYm3rxQ2damFVcwhZFJElAb1SpAvAwZEsmZKO47iSmul3qCXspT7ouaQCfFtPA59/9wYCHpkVzSEMy6anMURJs7il63V0O34dkSrqfH3vMKphIYsC77qlnYc2tuKp0DDLusUPj46TKGisag5z75om9g2mMR0Hy3bQTJNMSefkeI7hlMzuvqRrPOX+h1+RWNYYxLBssmUDy3E3a6mywddeGSbiV3j7xlbymklXfYDmOZutHb0N1Ac8ZMsGK5tDKJLbCFjVEmZFU4it3fUUNJOQV+bIaJaRdJnO+oWlE9t7G6pxeNczpvPhr3cq/UJoDvv4y49u5ZEtk/zuo0cZTJb46Jf28KHtXfzW29decsLMjYhYyMuDG1xXdtWw6I4FmcyqNIW9qIZVXafuWNm4YNNjWuKTK5sMJIr0JwscGc1y58rGaoHbEvEymXMp14mCRtSvsLI5xMHhtLv2CiC6/6Mt6mdHbz2PHR6nPepDN22WNYYoGzaxoIJhOaxqCVbX/aeOT3B4JMvpSXfamikZrGgKkSrpSILA/RdgTYFb6D15bALNtNm1PMbGjug8U7j+eIHf+8FxVMNyTQDbw3x4RxdtV5BQY1o2luPMoqn/329fX1MSO41TE1lSJb2asX52RnPkcmGYLktMEgVCHqmm+Zs8p/mxkNnqwZE0Jd3Cdhz2DabnMcUkUeDkRI6+uDv9z5YNlBqP1R0L8PNvWoZm2ET8cs2h1S+/ZTWnp/JM5XTaox5+8b6V8+7jU0QSeZd1qxq1DWB9iitbODWRRxRgZdP8Zi3AyuYQewc8FDWT9W3hJQf2Cg4Mpjk+nke3bHJlg3RJuyH3NYvFol8JURR529vextve9rareTzXHTIlnb0DaSQRdi6LEfTKNAQ93LemmSePubEiPo9ExOfqUceyZZIFjdMTeZJFHY+kkVVNtzvsuBt5w3IXo5aIj7qAwpqWMGXTxu+R0U2brvrALLOUaafTheA4Dk8em+DEeJ6xTJmwTybsUzgymqWtzsfqlnC1gLcdh+dOx2kMe9ncGb0ms6CvBTx5dILxbBnTcjv6TxydvKaL+Lx2PajgZ2PfUBqzokk7MZ5HXXtlNOJ0cXY00ni2zEjay1CyyL/tHebUeA6nQmOURIH71zbj90hs7ohWstUvfFFNFjQSBZ22Ot8s47jByhS1oBrolTQKzbR5uS/JR27rxiMPopkOEhDwiOiWu+E6MJTmlq66BS9YmZLOX/z0DBNZlZBX5hfuWs7KljD3XWUpxrWG05P5auTUcLrEH/7wBLGgp6JD9bFvMEW6aCCKAgeHM7TX+RFEgUzZQLdsBNzYq5f6EhWvEjcvGNzN/drWEB++rRfTdt+jVFHDsp1qIyxXNsiUzVkaUcOyyZQMDgyl8SoSO5c1sLI5hGU7fOPV4aqWc0t3Hfetaa4WdLd211+zpoFXE4Zl8+qAO4m/Xk3tLhVvWd/CruUN/PETp/jK7kG+/uowPzw6zmfuWcF/uKP3ptd0+ioN0aMjWcazKsfHcrxvWyftdX7GMmUOj2QJ+2RuW9Ywb/osCK4G+enTUzgO9NtFBEGoSmjuWd2E3yORKxusaQ1zaiKPT5Eo6hZSZUiCAI0hD/eva0YSRUq6xc7lDSxrCpEt6aRLOkdGs5iWq7X/1v4RVjWHeOLoJMPpUvXnec2kLujhozu7EYTZU/jjY1mOj+VZ0Rzkls46RFHgyWMT1VSTn5yYojsWIOKbnXt9ZDRbXdt0y66ZcX45ODtVqBpjbu+tZ9kl9gKaK9R1VXeL0qh/8eesbjuzim3VmL8X2dAeYSBZrDKqaunvz0zleer4FAXNRBQELHuoavg8DdOySRZ1SpqFg0O6qFMyLMI1WAzTcYgLIVnQ8Ssy9QEHjyKTKujzGutnpwpYDtg2iJLASA3KfV4zcRC4bVkDApBaINLvyWPjTGRVTNvmJyenWNEUrukdcLPhqRNTpIsatuNKKl86k+BDt92YDMPF4JI/mX/+53/Opz/9aXw+H3/+539+wfv+0i/90hUf2PUAy3b45r6RaqTbRFbjozu7MSybc8kisZAbLzSt4ZFEgQ1tEX56Mo5HFimqJlOGhUcSkEXBjZkSQJYEkgUdRRKQRZGMaqBIIiGvjBwQaA57Lyt2biRd5sS42z0uGxbpks6GdpeWqRo2sihUNWtnpwrkVYMXzsQ5M1ngwzu6bijq49WCbrnaZcdxmy6qeW1rzi+UlX2t4pX+FHqlcBpIFhlKLX4aALCqJcT+oTS6aVPSTQ6PZDkzWeDURI5Myb3Y27bD6ak8PY1BZEnkpbMJXhlI4ZFF3rmpfUE98lCyyFd2DyIAdUEPH97RXdVtxUJe18hSPK9/FAQIeiXuWtlIY8jHZLaMIwg0BF3352RRp2xY5FVjwSJ+z7kkR0fd5luioPP40Ql+6QIZujcKpvWHlm1zdqqAZlpkSgZ7+k9y56pGEgW36J42NdJMi7tWxvjxsQkcx3WLth2HeEFzN/eSSEBxMGzXRMcjSxQ0A820aa/z017nZzhVmhXFNJ09XNJNvr1/lPFsmf54keVNQWRRJF3UeeTWDjIlvVrAgzuNudGbLLVweCRLSbeorzSlb3SEfQr/7yMbefeWdn77O0c4PVngfzx5ii8+38/7tnby4R1dC0ZH3gw4W/GpACpu3AXCPpnvHBitxknlVbOaqT4TqUqRdnIih2ba5FSDu1Y2IooCqZLO8THX7HdNa5jGsJdEXiPolelqCBDPa1iOS80+M1lgTasb59kXLzKULFIX8NDdEGC88plVDZuJrMpoukxb1MdkvsxIWqU+4GEkVUIRhXlpBC+cSfCl5/spGxY+ReRDO7p5+6Y21Bnrh12JLpuL+oCHxpCnWuyvbA5dkTb62dPxqjHmqwNp6nsurSjsjbl57j86PoksCvzsrt5FH8PWrjp29yXJlg1WtbjM0bmQJZG3bmglnldpCHprykInMmVSRb3qqTBQkX/OggPZko5pnzejXSyePOoaj1q2Q6Zs8KPjE9zaM7vhKlX27V7FPQdMe/576pMlvIpY9ThYyFz26GiOcwl3jzOZ0yjoxlIRD0zmVUqV1063bErX4UDqtcQlF/F/+qd/ysc+9jF8Ph9/+qd/uuD9BEG4aYp4d5N9vng7Ppbli8/1oZk26ZJOyKsgCNAY8vLwre0kCjpPHp3AI4skCipFw0IRBbyyRMCj4Pe4H/RMScOwbbAERBxMy2FVcwCtou05O1UgGvDQWe+n7RIoxjMHiK0RH6MZt1tYH3ANhgRB4JEtHbxwNsGpiXxl8yswmXNpQksOmfPR2xgk4lMoGxYeWWR547WdW1m4Do3tvIpEIVuuaOJlwt4rOw8bQ15+ZmcPY9kyRys0ZnCp0mXdwl9xOo4FvXTHAqSKOnsqfhOaYfPTk5P8hxoGRY7j8M+7B3nhdJyyYbGqJcT2nobqNKGnIUDII1Pvl9EMC1kUifhl7l3TzJGxLG1RXyWnWGfazk8UBJrCvgvGhs1VSFiX0dh7IzBNc4/nNVY2h1gdWtzxrmuLVN2Tgx652gDVLJtUUac96uf4uJvd3hz2Ylg2+4cydNT5KoZHDiCgiCKW5RBQJLpawqimjSQIFDWLF84kaAp7EUWBiE+htzFIc9hLUbfojQWqxmyvDqRdZ2vTfe6QV6a9zs9U3i0Cgl551gau4TqnVDuOw9OnpjgzWaAx5OXtm9ouybxtd4VKv3NZ7KZqCu/obeCHv3w3Pzg8xp/++DQDyRJffuEcX37hHL2xAPeuaWZbTz2bO6N0N9w4XjSO4/CTE1P0xQs0R7w8tLFtVjE615iqIeAhXTRmFbbx/HzXdHA9eybzanU4YtoOffECq1rCPHc6Ud2TnRzP876tHdQHPdy1qpG/fbYfAYG2Oh9bu+uJ5zU2dESxbYe/fqaPsm5RMkx6YkFkEbJlk1jQQ7qoM5wq4VEkehqCWLbDqqYwQZ9cc5hyaDhDuTJtVg2bIyNZ3r6pjV3LY/zk5CSOA2taw8RqTNhvXxFDMy1OjufpiQV45+ba1OtLxdyzado878WzCYYLceoDHh7a1DavUZxXDdrq/Hzktm4EAcxaIemXiOF0uRIbJ2HbDumiQWt09pqRVw2+vneYvGrikV3ZxFxNuKdSDOumy6aaNgid+wcHKpHOOBD0SPNeg0tFPK+jWzaOA5ZjVxsrM7GiKcSWrrpqAlUtA0CPLPLwlg5eOptAkUTuXl3bJDDkdfcHluMQ9StIN8hacKUQHKosGkkUrkuT5tcSl1zEnzt3rubXNzOCHonWqI+JrIpRofHEQu6m8VyiyKaOOsCdgjaHfdUO0nQMnSIJeCQRnyKxsT3CWza08NMTcQ4Mp0kXdQzbYShdpmTaNIY8/H/v3cQXnx9AEl1K5+NHJvj5Ny1jPFtmLK3SEFLoaQjO2yR11ge4pSvK4ZEsLREfH7+9B79Hoj7gqdLVmiM+3ru1E820q5OjsE/Gf5UcMuN5jeF0idaIj/Yr0HddK9jWXc/GzijxnEadX+GOldc2RfRqudq+nljVHCRd0rEsh456P0HfldNQowGFaEAhUdCqRXxHXYCmsJdXB9KEfTJrKxusuW74C21jEgV3+jOSKbublJLBw1vO0+qmTcwawx529yexbPcz2VkfIOyTKzptm4BHIuJzJ0bLG4M8sqX9gmZGty1r4OW+BFN5jYBH5i3rL6zJfKPxcn+iap55eCSL1Lj4jvqu5TF2LY9RH/Dwld0DiI6rhw14pIopVjMbO6KMZ8p8/+AYL/cl3OmaAJIo0hhUMGwQEPApIveubSJXNhlOlUgUdBTZZT6VDItMWWdTe5T3bO2cp1OcPif8ioRfOe9yvKzS1PMpEu+5tYNXzqXwyq7J3fWM05MFDg1nARhKlXipLzHPgKoWpov4G51KXwuSKPDwlg7eubmdZ09P8dU9Qzx7Os5AssQ/vjTAP740AEBdQOGWzjq2dNWxpbuO23obrlvq/YnxPEdG3fNkIFFid39yVuLKhvYoZd1iJO0aRW7siKCZNmGfXC3ClzfVboyHfQp3rohxcDiDT5EI+5Tq526m871daTgVdYu2qI//9cHNfGv/KJmKUWlr1M+u5TH+7tk+MiWdqbyGJAgoQhkbxy06HQcHh5BPYSqnIuC+Rw1Bt7laV2NS2l7vQ5YETMtBFKCrwV8pin383J29GJZDLOip2bBRJJG3rG/lLevnMxAWg/vXNfPYkXEM02Hn8gYiHve6dHAogy8YoqiVeeFMYh7jwQGXtVS5/lxJg3gyVyZdYZbVBz3E89o8/6ZTE/nq+66bNoeGM1UPhWls7ozSUZFcyJLIHTXWEkkUiPoVdwLvQHTGHvdy0d0QwCOJlZQoge4aSS3LGoO8Y3M7JydyhLzygmthR52f+9e1VI+vFjyyiCQJiI6AAwQXMKkeTpWIF7RZhqo3Mnobg+Q0E9t28Moi6ztuXgZTLVzRFULXdc6dO8eKFSuQ5evzYnMlEASB927t4PhYjpJuVjd4iiSypjXCqpYQfkXijhXuxq0nFqjqtN60sonvHx6loJrYjsnGjijv3eq6oL46mHIXeMd1UrUcd9N7cMSN+wBXYziVUzkykuXf9w1zejKPLAq8fVMbH97RPa+Qv3tVU1WzfyG8+5Z29pxLYloOO3ob5lHFLhWqYSGJAookMpVT+freYdf9WXCfY6EL9PWClc0h5Io+L+KTr3pkUll3J/xXy9wkdB2yKVY1h1EkCdO23Yn0VRg07z2X4uBIhuWxAKtbQsTzGsuaQty9qpH+RJFXB9IcGEpxYjxHqqCxsSPC0dEctu0yYr6+d4jblsVY1nj+AupqMHU0w409shyHoRlUv+5YwP0c5DUUSaQl4m4shlJF3nVLO5GKCZpHFlnZHMbnkVANi0cPjPLRnT2zMpBnojHk5ZfuX81gskhT2HvNO9HPjEwC0I351MNLheM4lA2Lhza20lnvZyBZJOxTMC3XzyBR0Hi5L8necylOT+bJqkbVX8Enu+tSR72/Os0LeGTWt0WRBHcD1VnvZyKruk1MAfriBY6P5dg0xx1+W089g8kiyYLOfWubWd0SJuKXWTcjn7gt6ufha9gv43KgzWlsaTUowXOhmzavVvLhb8YifhqSKPDmtS28eW0LBc3khTMJXjyb4PBolhNjOTIlg2dPx3n2dBxwDbHevLaZj+3s4Y4VsetqSj/3PFFrfNZdw8bz3/sUiQ/t6OL0ZJ6QV2HNBYxEb18Roy9exHIcljcFWVnZT2zrrufFswkKqklnvR/38ikwkChxZDTHw1s6+OGRcYbTJbb11BP1K3gViURBQ6vI4wTBpXdPM7SOjGTxe2REUWBjR5SgR2b/UJrWaO20iDevaeb4WI6zUwV2LY+xvCnIl547B4Ir6XrHHEf91xI9sSC/eM8K1zxVFBgZGZl3n7nvFUDEp7Ctp54fH5/EK4sLRqoWNZOX+pJopsX2noaa5sqa6dBfoYnHCxp+Zf71bC6bp+Y+VRBYFgtQUA18ilzTUd5x3GOfHj4tFB93KdjcGeG50wHSZZ2GoIcN7fP3eIIgVLLt3Yz7ha7VPz05yb6BNKLoxvVt65mv+Q/73L/JsBzaoj5Xyz+n4D85kePxw+OYtttkuqfjxves+u13ruNX/u0AmZLBXasbeWDd1Wlw3ShYVOVdKpX43Oc+xz/90z8BcPr0aZYvX87nPvc5Ojo6+M3f/M2repDXMryyVDUmKmoWx8ZyCAK8bUMrt3TVzbqvILhF9v3rmvnxsXG+vtfNh5Zth93nkrS86mPvQMqNM6l0JZ2KoVJJt/jugTEs2yGrugVDS9TH379wjvFsmWRRx66YKPXFi+xc1lDtZJ5LFHn8yDi6aXNLV3RedMtM1Ip2mcZ4towkCPPcmOfimVNTHBjKoEgCD21qI5HXqrQzx4G+ePG6L+K/uW+E588kMCyb0XSZv32un//nXRuu+HFt2+EHlRibgEfikVs7rkrUyJVow94o3LGykZLh0g/XtoapD16ZFurgUJr//I0DJPI6kijw2XuW87n7V1dvjwU9nBrPcng0xzRx4e0b2/j5Ny3jG3uHGE6VCPsVjo+doyHoQZFFHljXwuoWt9lgOa5pne3AaOY8FbQ57ONDt3W5sWhZlYmsStAr01kfIJ7X2dwRZX1rmIFkkQPDGRqCHhqCHla3hEkWtQtKZprC3uvG72BrTz0DyRKqYdEY8rCieXHHrRoW394/ymROpS6g8L5tnbPWWtWw+Otn+gCYyKlkywam7VQ3c7rloFkOPTE/ZyaLFHWTv3/hHA0BDx/d1cMHtncxni3zrX3D/Pj4JIbt4JEEfLLI6pYQkihwaCTDeFalNxbk47t60Ey7ShfWTZvRTJmIX1lw6nK9YnVLmEPDGRIFHa8ism2ORrQWDo249OJY0MOq5ut73b9aCHll3raxtToB1U2bkxM5Dg5nODiU4ZWBFCPpMo8fmeDxIxNs7a7j8+/eMCsv+VrGurYIR0azJAs6PkVia09dzfvZtsN4TsUni8RCXsI+ZV6BY1h2NVMd3MLxyWNucZkoaMTzGnvOpSrMpCRnpwqUdYtMSefW7vpqQTiZVUkVdU6M5xAF+Otn+vjXPYPEAl78HgnVsAn5JDTDRjct+uMmiijgUyQkUazuyywbVja7DYZXzqXnMaBeOJsk4JHZ3FnHqYk8z552s+RXtYQ4M1kg3qtddA91NSEIAnN7Bk0RL3nLnf7WSr6wbYepvEbE5zq3T2TVmtnm394/wsv9brrHkdEs//mB1fM0/Lbj4DgOOdWks84tTudifVuEeF7jzGSejjo/O2oc01ROZf9QlpxqIAoGz5yK86m7V8y6j4PrNTM9fQ9egQQv4vcQ9En4PX5kSSRSYy0fTpWqEc9jGZXnTsfnSSAKmsljh8bpSxQQBYFs2ahZxNcHPNiOg+24jehaXjivnEvx+NEJyrpJQ9BDj7du0X/f9YLvHRhlNFPGtB1e6ksyni3TXndlJsfXEn5waIynT02xsjnEhzZfPlNvUUX8b/3Wb3Ho0CGeeeaZWe70DzzwAJ///OdvqiJ+Jh7c0Mq2nnoUWZzlTj0XXlni4HCWsmEh4EZwvDqQJlnQXRp9xf3UEUAWBMI+Ba8kUDZMBEFgNF3GtG0coKybTOY1bNvBsGxU0+LEeI6jo1nOTuV5aFM7X90zhCC4lM9Dw1k2dkQv6mg/F08em+D4mGuitaO3YUFaaLKgcWAoA4BhOTx7Kj5PJ3S9FB0XwvcPjaJWplCW5fDU8cmrUsSfSxbpm3LjUUq6xUt9Cd5za+cVP26udP0V8Rs7onTHAhimTSzkrTlFuBx8//AYUznNnZbbAv+ye4jP3b+aombyt8/28dzpBGXDIKdaFCsRYPuH0xQNi8cOj6GbNnV+hZBXYXNXlIAj8+TRCVY2hfApAookYDvgV8R5WbjNYR9rWsP8+75hdNPGsh36pwps7al3P+uOQ6KgV4u+VFFHFBY2wbke0RJx6aR51aQ+oDAxPraoxzk6mq3GSGVKBvsG07PM4jwVE9CCZiJXsptnaldFARRR4Fy8TKKokS0ZFDSTqZzGX/30DC0Pb6RsWPQnShR1E8208UgiPzkZZzijoogCNq6/yJnJAj5FYmWlOFUNi6/vHSZV1JFFgXdvab/mGRKXA58i8ZHbukmXDMI++ZJMt6ZjHXddZ9Pk1xMeWWRzZx2bO+v4xO0u0+TYWI5vvDrM1/cOs38owyN/+SKfuWcFv/aW1YtmyL1e8CkSH73IeWLbDt85MMpQqoQgwH1rmmc149xUHTf6NuiVeGRLB80RH+cSRfKqSV4z6YsXSRZ18qqJg8NjR8bIVNy/x7MWK1TD9aWQRc7G84xlVM4lioxlyhXKtYNXkehqCBDxKmiWRdgnYJg28YKGKIiu7FEW2dQRpSXi5Wy8gIBALOSpOcVOFNy885JuMpopIwpuY3cwWaIh6LkmEn/et7UTU/IR8so1PS2yZYPhVKl6nh0dy9bUcr/UlyRVdF/vIyNZkgWNjjkT8uFUkeF0GdOyUXXXrHUuDMthKqdR0Cym8hqqac2bag8li2TLenUtH0zNN7aTRAHDcghXpHeGZSMvcs3RLZtVLWEyJYNY0FOTdaQaFuPZMlM5DZ8i0RKZv7fVTYvDo26crCAsLE1IFXVOTeQrjNX5jReA/YNpCqqB7TgkCzqnJnOL+tuuJ3znwBi66cpaEgWdr7w8xG88tPaNPqyrgmdPTfH57x9DMyyeOiEwNpW87MdYVBH/6KOP8vWvf51du3bNuihv2LCBvr6+xTzkDYPYBYyoZqI16kZ4TE+ILNshWzYoVjIwfYpIWHYX2DetjJEoaJycyFeKfMdtFOgmiaJOoXIBk0WxEr3hLhInJ/IMJM9WjZc2tEcIeOTLNswo6Wa1gAfYN5jmzpW1N2TinJ9JosDyphAPbmhhMFmiJeLjlhoUtOsNc7NOp6NYrhSiIJBXDRIF96LQu4Ab+uUiVdSuyuO83rhQM+xyUedXsKoTWQfNtPjpyUm+sXeYwyNZ8hXKtSS601qPLBL2yrxwJo5Pdk3v0iUdT0X/DGA5DvGCSsir4JUlLNsh5FXm6fnAdWSWRBFZcqcjrwyk+ORdy/ng9i5OTeQpaCY+WWQ0oyKK8P5tnTVdeq9nXCzW51IwVyo0d80RRYH3bO3gpb4kO3rrSJV0tIopkYDLBsqpJpZTcosB1cB2QJYhq5p8/dVhNnZE8SmSG7NkWBiWTX+iQNgn0RD0MpXXaAx5sG2HyVy5WsT3x4vVTa1pOxwcztxQRTy4VOPLacQ+V6GH37OqtqHTEuZDEFzq9saOKP/pvpX898dO8L1DY/z1M30cHsnwfz6y9Yqix14PXOw8mcprDFUKMcdx9xUzi/ihVKkafVvULJ4/k+B92zqJ+hUcx90vOY6Dr1IUJwo6AY/rMaKbFoIg0BML8KHtXRRUk99+9CgTWZeZkyrqiCLguNfyombi98hsbK8j7JM5OZEjp5pE/TKaaTOeLdMdC9AQVJjIqpR0i5zq5WM7e+b9XataQuzpT1X9NpY3hRhIFPFIrjziWnAcH0oVGSuWqA962NHbME+25/dIeGSxajS4UDM56JWr651XFms2l8YzKqZlY9oOqmkxmp5vWHh0LFs1XE6XDF4dSM1jhMqyiEcWESxXlumrQcu3bKeqXXeArno/puPULHSSBY2CZtJe56+pm/crEifG8+RVg6hPmRdnN/03pyp6f31GVOlMGIZDqdIMFqidJQ9wcDhTjR5NFnSGkiXWzpFpemWRsm5h2g4+xW1A3eiwHbvauBEEB+UG2hI9cWwCtZKKZDuwuxLDejlY1MsRj8dpbp4fk1MsFpc67ZeI92/r4jv7RxlKlREFG19ls+6VJXTLdPWbjsOahgC3dNXxvYNjDCRKODgICNTJIpbtYNuuk6UguBOm+soiEPW7+lBbluio8/PqYJpDIxl29DTwtb3D+BWJt29qq6lhmgs3dun8gh7wSAu+z/VBD7eviLGnP4W3oukD18hmOtbuRoAy56InXKXBSNQnkyzoTOY0vLJ41br2O5Y18u1DE1flsa5XPLylgy+/cI686jJaIn6FQ8NZDgylKek2mmljWK55iiAIFDWTF88m6KgPEPEr+BQR24GHb2l33W+Bu1Y1Au59G4IKquGwvCnApo7553p9wFMpCB0kwa7GlE1T4te2hXnhTIKVLWHuXNl4VWQUNyI2dUQ5Fy8ylHKbgjt651O6G0Ne3n1LO7IokCgYPH82gWG6Ph2iKFZ8B9z323bcDZ9hA4bJYLLEcMqdmvlkiSxG1aiqP17Ep8g4wInxHGXdpT6ubonQFPYSnOOYfKM1YS4XmZLO4ZEMAHetvr5N/d4oNEd8/PlHbuWtG1r5L988xItnk3z473bzlU/ddtmMumsJfo+EKAhVM7qFojSnMV0ftUV9CIJAsqBR0i0aKqynZbEgdQGFfNnEsG2ifoXTE3n+6eVBuhsCDKeLZEoGZcPGBhwbRECoJFCE/Ao9jQHuXNHoJgVVrgeWbdIbC9Ic8nJwOMPGjihqJZWmMTS/kXLHCnftLmkWdxZjHBzOsnO5j3dsapuVl/5G4tEDY5QcD36P23i+c+Xsz6ZPkSr+SG686kINuHdubuOp45NYtsOG9kjNNBXbcSjqlttAd5yqr9NMzP2JUMNTfnt3Axvao5xLFFEksaZzvyQKrG+PVBvFnfX+mk3jE+M5njw2gW07NEd8fHB717zJ/+nJHJO5MmXdpqy78cvT0tlpqKbN+raIm1JUMamed0yygF+RqsZ9C6V5NIU8VdmjX5FqmiZ6FXffP/0vcBMU8cubQiSLaRzHbQzeVkNqcb2iJxZArXgpAYQ9l9+YXdQOY/v27Tz22GN87nOfA6gWdF/60pe4/fbbF/OQNx2m8hohn0xXgx/btjEd8EoSDg6W4zpjeySRqE+hP16kP1F0N5I21Vi6kE8hVdQJ++SK7ggeXN/MoZEsiYKKR5ZoifgZTrvdbo8ksrs/yY5lDeimzU9OTlY7yaZlUzIsQh4ZQXC74KIg0NXgmnK9a3M7z52JI4nCRXOOdy2PcVtvwzUTJZQtGcS1Aq0R39Vz+53TxLhazat4Qae3MUhPzI0bKlylCf/cRvN1aFa/IEYzZQzTprshcMFzTpbcqcg0rc2nSDiOA4LLNrErpkYeCQqajSK7JmceWaQ57CNV1OhtDHHfmuaqptHvkZjKq0iiiGm79xUEEdOy500lYiEPEZ9MUbfwyiJtcxpojSFvzW7/EmZDkUTet60T23Yu+H4XNZNkXiNbNqj3K0zmLZdhgU1jUGEso2FaNj7FZUSJguDGGqqG2+TxKWztruPQSBbbcSgbNqLoNmxu6YySK5uEfTKSKLLnXJJ3bnap83esiHFyIk9DJdrqZsYLZxPYDqxuCV1SHOoSFsY7NrexsjnEJ/5+D6cm83z4b3fztU/vel311VcTUb/CgxtaeLXiAzRXW97dEKC3Mcgr/UmiAaX6WTobL2BaNj2xID0NQeoDHt5zawfZskGmZNBa5yNbNvArEueSJSzHbSblyiYl3cKy3aJREEAWoDMW4M5VjaQKOiPpMqOZMp++eyUddWOcnsxzZqpAdyyAKLixwgOJIrGQl856X83Jc6Eyae2OBdjUGeWuVU3XzF5oGsdGswhet6HQEFTmFfEAXQ2BizYd7l3TTE8siGZarGgK1TTi1SwbRRIQBSpM0fm09I0dUfriRYZTJRpDHnYsm1+o1QU9fOHhjbzclyDiV3hgASf4d25urzI4FjJH/OnJSR4/PEbZsFneFOTOlY2zzGoBjo/lKWoWpmVX5S0fmPM4PTE32SZRcH12tszxwQLwySJ1AY8bjSdQM1oQ4BfuXs7//skZiprJe27tpLXGepktm3gUEcF0X9N0aX7s3Y0GryzRFPJi2jZeWSRbvnEi5pqCXur8biKHR3KZQ5eLRVU0f/AHf8BDDz3E8ePHMU2T//2//zfHjx/npZde4tlnn13MQ950ODmRA4RqBnt90MMD65opqBZnJnOcjbtunrIkMpwuV3S8bmRJwCPTEnG7dqIoMJIuIwoCq1tD/PDYJKmiTkedj7WtYbyKyFCqRK5sUNRMDMumNVmqdPRsdNOmpJt8c98IedWkOeIloEgMVNy1t3TXsbWrnljIw8/smk8dWwjX0kXra3uHkH1BAh6JD+/ovip0trm569PxgVeK1qhvFuuh5yp17gNe2aUSV76Xr6H350rw4tlE1VimtzHAI1s65jVUVMPi1ESeRw+MVKQlFgGPTMSn8NOTU2SKBg4uk0WA6qTGtBwsy6GgmXzpExv574+dYDBZ5L8/dpyfu3MZd1Q2PvUBd6LRUYlOrPO7zbW5m+u6gIeexhCWZSMIAk3hpaLmSnChNWYkXeJfdw+hmxaTeRXVtLFtsJl2Sy4RUNzkA3BNjOoDCiXdpqhb+BWJREFlLKuimhYl3cKnSER9CnUB5f9n77/DIznvM134rtg5IOcwOQfOcBiGmaICSVGByrYly8eSvSvZOsf2Xl55/a1t2buW7CPbx/pk2asjx5UVaFlWDhQpBlEkhzOcnBMGGWigc6pc549q9AyAxiROAEDc18WLwHSjUeiueuv9pedhdUukalEI06+n25c3cPvy168K+4VMtdLfu9RKf01Y0xrhiV+/k1/4f3dxdrLIh/9xN1//9Tuq+4iFxrq2KOvmcHbRTIdkQach7GMkU+Jvnz3DhvYoXfV+njkxQaqo41Mk3r2tozr2osoisYCCbnlreEm3GU6XGc2U0UwH2/HugQKe7WpdUK2O9w1lyqxuCXN2wusofd+ObsayZZ48OsZIRiOneRX5yYJOqmjwoTtn74fSRYOv7R6sHsvj2zrmZfLKclwsw0aWhNds+jIz+J1Ja9RPa9SPaTkEfTKBGv3QiuR5w9dKfl/IwaEMTx8bJxZUuaWLCnskAAEAAElEQVQ7XrMoI1VcBC7GU8cSjOZ0cF0ODFqcmyjM+jsk0XMJclwX03GpJTzvkyVao372DqTpqQ/V7GwVBIGmsMp4TkNAmLPDbiBVpqsuiON6ugqm7cxq8xfxxj+m2q9fD+30K5pCHBvNYdou9SFPEHixIEkCZdPrUjFwa7p4XIqrCuLvvvtuDhw4wKc//Wk2bdrEk08+ybZt23jppZfYtGnT1bzk646N7bFpwdqWzhjtsQD17Sp1IQVFkpBlz5vy+wdHCKieaIZhuzy0tpHd5zyFYLPSoiSI0DdRpFyZrygbFkGfzNrmCKblUNAtrErw8PLZJJIk0FMf5KuRfpqj/mqrz1CqXFXELhoW/+9zZ+muD9AWD/DAmmZ6m0KEVPmaWZ/dCCzbm4kqGTanEvmaaqxXymh2uqhK/hoF8bGAwvt2dHFqvEAsoLC+hq3J1eB1VAgYtnfLrqvRBrgQOVBp1QXPjzhTMqfNipYNm6/s6ud7B0cZSpdIFw0sF2TBIKRKOC4osoht2uB6do5Tuxrb9cRtNnfE2DuQoa9ik2NYDj84NFYN4hVJ5M4VDfzo8Cgg0Bzx1dxUb+uuY03LBP3JEg0hdZbg4xJXT7Kgc2w0T9gvE1Il/uonJxjOaJi2g+vizb1XnutCZb3ztvMuUNBMljcGifi9G2lA8TosDMtFEgQkQcAwHbKayYmxPO/e3kXEL3NirEB9WOXOFa/vinstXNfl+ZOeqN09NUSxlrg6ehpCfOWjt/Ouv32Ro6M5/tOXX+UfP3zbnPZWC5XhTJm8ZlHULYYzGsNZjVzZZHcfJPIaumlT0i2+8eowPz+dJOyT6W4IUjI8UdK2qI8njyWYKGiYlcqli4hpeaV4SRQQK0LBk0WDbNnk+GiensYgqaJBS8RHrmyS12zCPplc2SQWVIkHFRJ5nRdOeQnksmlzz6pGVjZHODGeR6uorxuWw9GR3LwM4kuGRdbS8MnSnJXhom5xaDiLIols6YxdtZji/WuaeeHUJLrtUq+I7Fw5d4LzYr/j1Hiev37qJHnNqnZEfemXd1zVMTmOiyx6QrSKJDBZQzMo7FeoC1W6YmVplt0bwPHRHH/+4xOUDIvd59LotsN/fct00TXHcRmrCOo6LoxmZ2sCABwdzfJqf5qyabO5M+adgzMCfrOSdJ6yQixfo07N+cxEweumc1yXsSyoi6iNtD9V9ISOXW+8Zzx35dpVVxXEf+hDH+KBBx7gk5/8JCtWrLj0Dywxi+VNYX73zWt46WyKsCqSKBjsqlQUt/fU8djWNlJFk+dPJkgVvSp6Y8THvasa8SsSRWOSckVwyS9LKJJEQTfB9W5ORcPi5Fie4XSZXNnEtBwcXATXpaC7SJJA32SJZ44nWNN6foZIEgV8sshEXuPISI50ycSutJIeGTnNurYo0YDCuysCMwuNa1WxuJ4dPY1hX83ZsteE4HljW47niDBzpn+hEvEr6Ka38KmyOGve7FyyyO5zKc5M5ClodjWQs13oTxbZ0BEnWJQo6t77cmG3AniZ0k2dcfyVSs+U4vlMqQJJFAiqMkXdomTa2O7s+oZuOQQUmbZYgKAqzRJHXOLqKGgm/7prAMt2MG2HF05Pki2bZEsmpuMi4GLZ0z8Px4WCZhMPelU7y3YpaBaRgMrWrnoUSWDX2ST9yRJORQQx7POSl35FYjhT5pd39vLmDe6SDswcnBwvMJbT8Mkit9doj13i6ulpCPGPH76N93/xJX5+OskffPswn35804I6F8uGzQunvX3Mtu74rApbXVDxhF51k6F0CdN20I2KLa8ooPplirpNpuyNFGY1k3RJZ1ljmJJpc3gkh27aiKLXyi1LIo0RhbxmYjueELAsCpyaKNARC1DULXTTJq9ZbOmK8/PTk/SnSvQ2hBAEgZJpE3IcxrIao1mN46M5BlJlGsMqz52Y4NPv2lRVRU/kNYbSZYq6ycaO2LzTN7ErCugI0Dc5W+Xdsh3+bc8g6YqrzUimzGNbZs+gXw4lw2ZbTx2ZkkFnXZDxnE596Mr3N0dGsiSLBlZF2O74WH7O545my9iOO2fVdltPnMF0CcH1gvU7anRO7eitZ99ABt3yurC2d89ew14+myRbNjFtB1GAPTWEycqWNz7XGgvM2l9cyHf3j3Cq4kx0JlHgP923fNZzJnI6huUJ6DmGTUFb/HuIg0NZb+zRBdO2efLoOOsWib7WWEavjnG6wGShdoLnYlxVak1VVT796U+zevVqurq6+KVf+iW+9KUvcerUqat5udctmzrj/Nq9y1nbHmNqz1/ULZ7YM8jzJyd5YvcA+wcz5DWTom5i2Q6iIJAqGQiIhHwyiiigygKRgExAlhAr2UUQiAUUkgWdrGZWBfFsx2ulsh2XnGYyntOYyGu4eDOha1ojrKpklEezni2I47oMZcpoFQXOl88m+cwPjvHi6cmb+fZdNhs6orRE/dyxvGHOGanFTlEzsBynOgs4VS1Y6Lx1Uxs9DUHa437eurltlrCMVy3NV1vkp3Dxstm245ApGbh4rdYu5+UORCCoyOztT9NZHyCgSgh4c30rmqb7XQ+kSpQMTxH57ESRM4nZG4yhdAlVFisCaDIDqeK1eyNep+iWzT++eI4XTk3woyNjfPfACIOpkteeZjuYllNtrZ2J7XpWSrrpWXpOtWZ21vn5hdu7uW9VIyG/7AkWyV7Xhu14Ik1TCcyFFDTdaJ46Ng7AnSsaXrMjwRKz2dQZ4/O/uA1RgK/tHuTLuwZu9iFdET86Msrh4SxnEgW+vX9klmp3Q9jHY1vaMO3zAfdwtowkeGJpUyrdtuMyWdAZSJY4MZbn0HCWYyM5BtNlTNsbGVQkieWNIVY2R3jXti7uWtFILKiQ0yw0wyZZMqgLKgR9Ms0RlZPjOfYPZigaFv3JIueSRdrjAR7b3E5zxFcRyitjWDbpkkEir3F0JMf6tigbO6IkcnplzErmySPzT1A2r5kIgmfBlsjNDhxymlUN4IGqi8DVMJAq0Z8skS1bHB/LU9RqV0BOJwo8dXScQ0PZmo+3hFXsipWyaTuocxQivvxyP7/1tf38zhMH+H+fP1vzORs7YmzqiLGyOcyO3rqabek7VzSwpiWCX5HY0B6tKaDaGvd7iXvdoqjbNVvu64MqK5pDFHWLsmnVnJsHGM/rlYSTZ4m6qy896zmJvFZVwHdcb0+x2LFsF9v19mem7RK5VrpW84DminuH43r70Vpihpfiqt6NL33pSwAMDw/z/PPP89xzz/EXf/EX/Pqv/zptbW2v2c/59UZbzF9VaU2XjKpqtSyJJAs6ec1CEj3ruD39aeqDCrIkoDgCdSEVvyJ5lUCfjGI7GLaLadlV+zq/4qnAmpUkgCyCW2kjtRyX4YxGT0OI//OhVRR1iy88cxpZFFElCd1yyJVNehtDtMcDDCSL5MomYZ/Mrr4UnXVBNMvm8HCWWEDh7lWN88IH9ULuX9NMNHpt2tIXKj5FIqhI6IInrrJQZyhnUhdSeXxb55yPd9YFCfokat3vA6pIXrO4MJ/h4rVreVZzAmGfV10v6DY7euopVVRoZ970p1whwLPFq1Vlb435vYxr5SbcHp9/bZYLjcPDWUq6zWTBYCxXxjAdELxqeUiVq2q/c1VAbAdEwcW0bfK6RSyg0t0QoqsuSFs8yPLGELrlqRP7FS+QaIz4L8vV4/XOVPDypvWz7RaXuDY8sKaZ333LWj7zw+N86jtHWN0cXjB6DKni+SDRsBzymjVrxnlZY4jljWEUSeBopTMwqMp0xCXKpkVr1M/xsTwlw0YWBWwXxnMatuN6vt7C+arzf3nzGm5b1sDBoQx//fRJciWvRVeWREKKhCqJbO2O86PD41WtjPqQihAL4Lqebd2e/hTJosFotoxfFtFNp7J387orBUFgW3cdh4fPW/JezZzr9aYx7KfoiiiSyNq22YWNiF8m4perY5bt8drr3eHhLH/77Bl0y+btWztqVuujfhlFEigbNvGAr2bL/GCqxFdf6SdTMgn5ZFxcNnfGpz0n6FeIVUTAJFGsKehoWQ7fPzhaXeufOjbO+3Z0EZ3RNWpYLlu7zgflBc2iecbb8HJfkqF0Gdf1RvVe7U9XR+imCMgyjREf2ZKBIol01Kj8C4JAWPXcbSRBmNOFIeqXKekWruBprKxoDNd83rStTI2Ov8XGyqYQibyG7UDQJ9F9jWyX5wO6ZVeTMi5QvIrOiteU0qirq6OhoYG6ujri8TiyLNPUtDT7dqW0xQK845Z2zk4UWdsaqbYJqZKnmixLAoblkCtbrGmNktdMZFEgEFRJFw1EQSCgyGTKJg1hH7GAwmCqRNnwAo5QQMawHVxc/JLIZMnAJ4n4ZJH6kA9R8GZEC7qFTxarrcBNER+m7bBjWT2/9/Bafnh4jB8dHiPil2mvbGJHMmV29aWqFgmW4/Lmikd2XjMZSpdpCKs31QrHdV00035dV4PWtETpqA8yVHEd2NG7MDZ6c+E4LqbjXDJh9PKZJEFV9kYJbJsLu6pzZQvDPl+FEPB8WDe0RTmXKqFbNiXDYntPHR3xANGAUhVTW9My/Y5//5omUkUDy3aIBZWabXyddUHevrWDc5NFmiK+S4rvLHFpBEFAlUV8iojreiMVruuiGTad9QFs16m0HHofvATTqvJeZ4UXzJd0m/fc2srOFQ18bfcgpyvdFBvao6iSWP1dqizO6sRYYjpjWY0DQ1kEAR5af3E3kyVeG79+73KOjOT47oERPvave/nOb95dFdmcz6xpibC70n7cGFZpqKHTYjsuGzoiOK5DQbMIqgYbOmLVQH1ta4Rk0SBdNLAd1xtlutCs2/U6pxQJ/uWlfv73S/3kdYuRTBkuCKhiQYXlzWHqQz4awyolw0YSvcrf+orw3qlEHhBojfoxLAdVkijqFpbj8t5bO6vCaA1hX3UfJwjUbNW+2dy+rI60pRD2yzX3Aook8p7tXewbTKPKItt7ZlehAb7w7GmSBU8h/Su7+rmtt46WGRoAsYCC63pCpLbrUh+aXUA4PJxl11lPX0CRRHrqg7OC+JBPZnlThEzJ2/OubJ69BkuSV6waz2m4QGNIrakVsaUzznhuDNeFxoiv5v36xFieYmXmvKB7XQQzg/h4UKG7LohRSSh0xGe/TqZscGgk61WUBZddZ5P8+n2zx5Dfs72Tf3jxHKbtsrUzxqrW2X/fmrYoI1lvvl6RRNZ3LP7O0rJpIwoCgnheC2CxcDpRmFZcyJSv3G3gqoL4//bf/hvPPvss+/btY926ddx333188pOf5N5776WurvbFvsTF6WkI0dMQwnVdkgWDwyNZXLzWEUnwgnHHdTidyCOKsLI5jF+ReOnMJAOpEpIoElAE/LKIJAosawiiyCJjWR0El9aAp3p+LlmkIeTjrpWNnJko0BkPUB9SCftk9veniAZV3r29k8FUCcNy6WkIcvvyBlRZ4u1bO9jWXce39w+TLZuUTJuRbBnbcaptpZmSdzMtaBZf3T1A2fAuwLduabtpG9+v7OpHE/x0xAO845aOayIAFJCv71z8taZsOtyxrIHTIR9+RWRl88UVZeczo5kyz+yboGzYrG+P8qb1LbPamrNlk4FUib997hSpoo5cmYu0p+/vcF0XSQCr4hXeGFZZ3hzCFbzq0PKmEF31AUI+mQ/c3s25ySKxgDLLemdDewxJFBjLavQ2hOa05lnWGLqkmu8SF6egW+TKJo1hHxvbo3zl5X6yJRPX9TbjuuVQH1JY3ext8D2F4UoFQ7jQHxpPsd4FWRAI+iQifpnjo3nGcxoRv8L6tihtMT/v2dFFQbNI5HXaK2vmEnPzk0or/S1d8QXtZb4QEASBP3/XZs4kChwdzfHr/3sP//brO+f0o54v3L2qkba4n7Jhs7I5PEuJ+8RYniePjGG7Lr2NYTZ3xjk+lsOwXEKq133ouNAS9dMY8jGa03BLRjUp52KimQAupu1ybCRHwCchCQKCAAHFq0QHVImmiI+AIjGWLSOJItGAdyxtsQCm7aX9wj6ZVFFHMx0aQj7ef1sXiiRW9Wu++soAsiiwpSvOgaEM4zmNN65vYVPn7GRtqmhgWA4tUd9NGclRJJFSyaocf+21LFUyGM1qKJLImhYLX3j2+ZQtmd74kuvSGPZR0G1mGr9NiTeXDZuWiI+8PnvjNJbVmCzoWI53Px6s0SbeVR/knlVN9E0WUCSRN2+s3eHT2xgiWdRxXc/mr5YI8/r2KM1RHwXNoj0eqLknXN4Y4gfmKAXNJuqXWdE0+56+vj3KG9Y1c2I8T9gn8/i22RaxEjCcLlU7T6YlmS5AkSUeWtuCbjm0xfxkSiYt0env+btu6WQ0o3l2tw0hbl8Wn/U6i0ve0tu7ioKXfBcE71xZLFzYwQkgi1f+6V1VEP+Zz3yGpqYm/vAP/5DHH3+c1atXX83LLHEBpu2QLhoMZ8pMFHRaon6OjGTRLc8LWTdtT421EhR3VTKHmumpL5u2jSh4SqPxkMpwuoRp2MSCCgJuRZDOq8hPCaf5Fc8WSxTg1f4UPz+TRBQE3ri+hc+8azNHR3IEVIkVjWGePzmB5Ths767nvbd28c8vncMvCJxJFEhWVDSnEhCfe/qU1y0giQQUCcd1OTGWf01BfE4zmczrNEf9c7YjzcVkwUBQZQbTJY6MZLml+7UnmqwFNlKuSiJhv8yWyjzWQu5KeOlMkqwuYtoOR4azrG+L0lUfxHVdBlNl+lNF9g1kODCY4aUzKcxK5D7z1hlQRPyqRLHS+q6KXpC/tjVKNKASqIypBFTvfAv75ItWz9e2Rlnb+voe23gtjGbL6KZDV33tjRd4bZff3j9csZtRaQipDKbLdMT9mLan+bCsMcjK5gjxgIpuOpgVOx4XEF2vVdF1XCp7cxzXsxOKB1WG02V8F2zofIpER12QoCoTVOUF68l9o6m20m9YaqW/EQRUiS9+aDtv+/zPOTyc45PfPMj/876t816z4WJ7gqePj3tWaLbDN/YMIAoiumVza289H7l7GZbrIgsiX97V71XsHZfd55LgemJiZxIW4O2PioaFIHiVWs20cV3PdrU95kcUIVMySRVNDMtmc2ecWFBhU0eMiF/hm3uHcF1ojfl4tT+D7biUTZvljWGao3400+ZLPztbvc98Y89Qtef5yy8PsKkjPi2p+2p/qurasKolzKOb2l7T52Q7LoMpT2/lcke0njk5QcFRUCSR7voAH39w1bTHNdPm+wdHqn/TDw6N8sE7e2e9juk45DQvgapIIg3h2VX2Q8NZ+lMlXNeza03kNDbMECZTZBEBb9bMrYjwzsQnS3zozh5OJQqEVIlVLbOr0K4L3fXBaqeopxFVO2i+lIBwNKBQH/ShSCZRv0LEPzvZoUgiH7yzl8mCTtgn17S8K1ueuKIsCQjAHDE8J8fyPH08gYtLa9TPf75/drVelcXKWKyIZjoE1dm/b/4Nb7w2vO5gvHPDdYkFF08CXZ6htH81ho9XFcTv27eP5557jmeffZa/+Iu/QFVV7rvvPu6//37uv//+paD+CtFMm88+eYK+iSKm7bCsMYRfkQgoXoZYVUTOTRSQBPDLEoIgUBdU2N5Tz8tnk16rvCvgui4+RaQuqLJvII1uOYRUiYawj9uW13NqPM+O3noKmkm6ZHD/mmYeXNvM0dEsPzzsbboc1+Wls0l+6Y4ebl/egGbafO7pk/QnS8SDCmcSRd6wrrmaMRIlr61p54pGkkWdPec8MQ7bcRnNllhdWWjjr0HJfjyn8Y1XhzAsB78i8b4dXVdUCTs0nEVQTfyKyF0XsTe5EqwFNooUCyrcu7qJl88m8csSD62fmS9fOEwUdPaPegIv0UqrHsAPD49xYizP/sF0VUvCtN2ay6IoeOrHIb9KumQgeKPUiAL4FJFbuuP0J0u0RP3suAaWhEtcnJfPJnnpTBLwNmHvvKWjpg/8vsFMdWOZKhoMpz3xzXTJQBIFWmNelTxbNtFMzwdZEgScylkgiwIuLhbn5+Sn/gtVKpfd9UH8isTpRIHGsMqdK+ZfO+x8RjNt9vZ794E3LeB1ZqHRWRfkb35hG7/097v49v4RNrRH+bV75797kOO4HB3NoVs269qi1cBEqETC2bJJIm8QCyhIosDxsRz/8GIfkuCNtmztinF0NI9UKUAcGs4xmikRUD0NC/DW9rqQCpUknk+WuH9NMwFV4tBQBr0igJktm4zlNFJFg41tUV7pS1Ut4o6P5djSGfP8uWWR509NYNkuQVVGMx0sx5uPT5eNaoXNdlzGcuVpQfzuc+cFy06NF8ismG6LeiW4rsu39w/Tn/Qq17cvr2fnZdhdZkoGsl/BtB1eHcjMerxs2NV1FqhZPQdPdMwneSOYPklgIm8QD04PjAuahW7ZmJZDxK+QuUAwb4rWqI94UCFXNgmoEt1zdLKFfPKcwnDgBe33rGrkuZMTAOxcUVujyXFc9lVEo9e3RWsmZzXTobM+QKYkUxdUKc8hBiyJc3u/gyeOKwmCF6AJAn65dsLm6GiuOu+eKZucTOTZNkMR/+dnkiiSSMgHtuuyp3+2Gv5iIx70rnvH8YpRsUWi5wRwZqIw7fvcHNfZxbiqIH7Lli1s2bKFT3ziEwAcOHCAv/qrv+LjH/84juNg2wusTHmTefrYeUVOw7L52alJmiI+BMFT0YwHFVRJ5NR4vqpe2RwNoFZaubJlT2k0qMoEfRKHh7MUdItkwUAQoGTaHBjM4JMlzk4UGEqXiQUVjo/luH91E1G/9/rGVNuYKqGZFq4r8fXdg3x7/4g3j+aT2diu89YtrYiCwEimjCqLbOmKsb49ysnx84rc8aBKY8RHWyxAU8THba/BYujoSK7akqWZNsfHcpd1o5pClgRsvEzutapLXMwqZL6yrbuObdegC+Fmo0gCkiji2A5+RcTFUyo+MZYHXPYNpMldQiBEBHTLxdEs/LJEQbexHC/T/ab1rUsV1xvM/sFM9euBVImjYzlGMxpRv8ytvfXVynxoRotwa9THSKZM0bAoGQ55zSSclemuDyHgtdUKQuU/19v4XCgkM4Vlu6RLJt31QTZ2xLx2zQ3nHy/oFiXDojHkq5lcWOI8fkVi1+8/xK6zSZYvaQfcUO5c0cAfvHU9f/idI3zmh8dZ0xrlvtXzW6fo6eMJDg97+59DQ1l+8Y4eFEnkjeub+da+EcBTcbYqF65lex1/zRFvNn0ir3NrTx2yKDCa1XjuxASjGQ0BzwpUEgUCisR4VsOwbERRZFVzuDpu0BYP0NMQ5FSigCS47BvI4LoupxN5ljWFWdkUZiSrkddM8rpF2bAZTpc5MpJjbWsEWRLoTxZJ5HUEvFn/RN6zPW2K+Fg/ozsrqEqUK91fkijgU66+AfrV/jQ/PZ4g7JNpifo5MJi9rL1R1C9TFgRUSaCrbnb1Ph705uV/fmoSSRR47621xWOzJdNzP6p0OoV8swPmsmlT0Cwc18VyXNQaf2/Er6DI3nvhk8WaFebLZVVLhLGs57g0lxvRj4+O8a29w+iWQ2ddgN99eC3RGcGhIomcThQwbYdkQccnX53FniB4r6VVRFdrKeHD+QICeAksSZj9Ppm2Z3E4NROvSNfYingeUjItbNuz1TMdt6pTsBiQZ+wlLPvK+yiu6kpxXZd9+/bx7LPP8uyzz/LCCy+Qy+XYvHkz991339W85Osa84IPTrcc4kGFta0RVFkkWzJI5BzuXN7A9p44p8eL1IcVjo5k2XMuhSh46o2CICJL8NTRCcqmhWFVKpAujKQ1zyarLsiREU811a9IPHV0DNt2ifhl3ri+hX2DaSRBoC6o8nfPnUWRBM5OFikZNo7rzbmPZjVOjhc4mcgxUMn+lg2LXNni3lVNxAIK+wfT1IVUfuOBlTRdg3nIKe/VKWYutpdiU3scNRBCFAVCvmuTxVtsLUsLiaaIj23dgapYjl+RUGWRnGZyYDBzyQAevE4Kw3bobQyjW16dNhZQeHBNy4JLziwGIn65urG1bIcnD49VW0xLps0Da5rJlkwmCzpjOY3GsEpb1M+/7x1GMx2KuidaaBkuRcPAshxEUSCvWdiVdnoB76apCp4A55RotFD5/dt763jX9tmb1dOJPD84NIbtuHTXB3nHLR1ztvsv4RH2ybxh3VIV/mbwoTt7ODqS4+t7BvnNr+zlO79xN73zWIejb/J8NSpdMkkXDZqjfrJl0+uYCqm0xjwVet2yqQuq1WS867r8x75hziWLWLaLXxYoGA6GaRNUJRRJxLBdFFn0LEABQXAZyWps6YqhShJ1QZlPfG0/E/kpD27Ph1wSBTpMh4mCzmimTG9DiImcjmbaNIRVJgtGdZTHcjwBPFEUaAirfLCnnlRRZ+eKBkIz9itv2djK08cSGJbDnSsarjpg7U8W+enxBMmCwUQlaXC5Yqn1IT/DRc8B6ZFNbbMe10yHV84mOTmeRxIFXj6T5M0bZz8vUzaqAbxhOYxnNdpniLvldW/23nZcVElkJDN7pjlVNMiXTfK6jWG7pIt6zeN++WySPedSBFWZt25uq5ls/+JzZ3ju5ASu63Vu/beH180aV3j2xAQTBb1iGWpxfDTHbcumd1x5558nKu2XpZodBFPHfmo8Tzyo1kwaFHRPNDriVxAEqkKAM3lkUyv/67k+LMdhW08d69pmj+bVBRQsx3NKmNJzmMlim4k/NVqo3qsLus1otnxzD+gaMpqZfp5fTX7iqlaP+vp6CoUCW7Zs4b777uOjH/0o99xzD/F4/Gpe7nXPA2ubefFMktGMRiygsLwpTDyoMpT2/I57GvzolsPtyxv4vx5aw5//+DjZMe/GVzQsGkI+gqrEvsEMjuOiyt7s2BQO3iyp63qZU88n3MF2HV48M+nNMoVUWqJ+9vSnODtZJKBIrG2LMpk3iPhlSoaNZXuK4H/91CkSeY100cSwHfomizguTBY0htIauuWQL5ucHC/QFPFmVWvNONXCsh36UyV8slhVDL2lu468ZjGSLdNdF2RNy5VVd3obg+QdmWWN4arS7BILl3tXNfPzgSJ5zWJrd5yWilqwJAj4pMsProq6xabOGAHVUxmuD/kI+2UKujVLnGeJ68sjG9t49mQC3XRojfnZcy7N1Ec5ki7zzPEEPzg8iix66tCaafEvL5/jbKKIy3TBQoBkybsbisL0GUTLcZEVEVUUkWwbpxIO+FWJN89hhfZKX7oqRjSQKjGcLi8qm5slFheCIPDH79jAqUSevQMZPvove/j3j+284uT3jaIl6ufsRBHwZvun7MBePptCELymetN2+a9vWcO/7x3Gdb0ANlMy6G0McmaiQL5cadl2QBK8oLJg2IQrQnaTeR2XylrguJQNiy+/PMDyxhAnx/NMFnRc1/MgFwQBnyRS1C3a436299bTHPGTKRmcS3nJguaID0n0lNBlSaQ16q8etyKKF+08bI74+cBt3Rd9T0zb4YVTkySLBmtbIzWD87GK6NzqljBD6TIBVeLRGQG5ZTtIojAriN3aFedWfxBZEhmr4RM/kCxydNTrrLQdl5+dmax9nJZTDeIt26lZSawPegrxjutWHJFmn4cDqRKG7T3uui59k7OF7RJ5jf/YN8xopowieR14v3r38ll/77f3D5MseoFysqTzm/evJDpjjlozbQZTJRzXJexTUGrsG/KaSb5sUDa9u0RBnx3E5zSTf3qxj5FMmaAi89jW9lnjd35FQpEEUkXvnjTXHP4rfWlv/EuSGEqVSRZ02mZoHAxnNMCtWk6nCrOTHYutwDQ5I3nyo8Oj/Mpdy+d49sLCdqcXnK6mNHBVQfyXv/xl7rnnnte99/Zr5fmTExwfy1EXVPkvb1pDTvMENHb1pehPFmmM+JAvXHwrm9H64PlFUBIEJirzv1OVrAt/ZOrLou7N2OimUxGAMhFFz7tzpKyx+1yKkCqD4FWtVjVHSBcN7l3VwI+PWti2RkCR2Nwe4+Bwlsm8gVlpcZEEbzZHEgUODmco6d4sativMJAqMZIpkyoatEb9dNYHeHhj2yxhtfGcxoHBDHv606iSp7A/Nd8liQIPrG1mLKvx7f3D7OpLsqE9xsMzbliposHefs8S5cKbqOtO/bdUY10MuLiVOWa3Og//8zMTPHcywUCyeFmvIQneyMfDG1o5EM9yaChLW9xPY8RXFY1c4sZRF1J5dFM7ZcPm2weG2TeQxidLrG2LkNcs9g9m6E8WGc9q2BUBzfJl+C877vnKhIO3DpQNh5Aq0tUQxHVBliQ+cvcybp1D+8A/o/1z5vdLLDHf8MkSf/dL23ns8y9wKlHg1/5lD//0K7fNS0HTN29o5ZW+FJppc0t3XfUYfbJYHaOTRIFU0Zxmi50qGixrCqFbDpp53m95mo2oZiNV2pkFvDXAdrzAqqhbHBvNcWQkS0GzqkG+Knr3Fgcv+D05nse2XQ4OZZjIG0iiV3W+Y3kDb9vaxob2OMPpMs+dTDCW1WiJ+hnNlquz9FeC67qUDJuXzyY5WBmxHEx5ekQzbdC6G4Ls6ksRD6rEgyqPbm6bNlv//MkJ9lbW0ce2tE37+dMTeQqOjk8WazqpBH0Spm2TLZkgCAR9tf8WSRRxmNp3CgRrCLtt7Yrx3Emv8yCkymybYR0H0FYRostrFgFFor1Gi/9kXufcpHd/1y2HQ5URjAtxXU/IeKq7NV0wqmOiM55Z+b9w3rZkBrrlkCya6JZDyfRm+mdyquKg4HnXC0gSs4J4SYBsyaJU2Z/ny7Ur+kPpclUlX7NsTiXys4L4TEkjU3FikSQL3Zr/VpLXmon84lGnbwz7GEifT8RchTj91QXxjz766NX82DQ0TeP9738/R48eJRAI0NzczN/+7d+ycuVKEokEH/rQhzhz5gw+n48vfOEL3HvvvQBX/dh84+xEgVcr4j9FvczegQxvqVhmPLbFm70pGzb/vneIibxOY8RXVVV/25YOxnOeN6ogQMmwMSwHRRIwLBcBiAdkgoqIjUCuZGC7AqLjolsOPtmbqzdsl1RRx7BdbMclr5k4rosqSxiWTTyooNueF2tIlZks6ARUr61IEC70bPQyg6osUNRtXNfFsFxOVBIUI5kyJ8bypOqDWI7LnnNpIn6ZY6M54kGVHb11fOPVITIlg4NDWRrCKquaIxwenj7f9dzJBIOpEqcnCuw+l0azbN55i9f+algO33h1kKLuLZSTBZ3bKvbE/ckS/lCYIyM52uOBJX/uBc7zJyeY0L2N3n/sG+Lb+wZ5+vgEY7naLXi1UCWRrd11bOutZ1tvvdfOp5m0xWrbzSxxfTk5nufHh8foT5WwbId1bREyZYvO+gAhVebsRJGy4ZDI65i2Q4391JxIkoB1wc5ewPMG3tZTT2s0QG9jkMc2zz3v+ODaZn50eIyCbrG1K76kl7DEgqA56ufvf3kH7//iy7x8NsX/9bX9/M0vbpt3oyB+ReLeGnP7j2xq46lj45i2yz2rGqkPqUiiwGRBZzSr0R4PkCx4gnd5zUKYsqCYgYvnPiEIXpUXwdunjGbL+CTR08y54OckUSBSqc6eGi+wti2CKnl2vY7joIre+Naty+L0TZQ4nSiyo7eeNa1RTNulP1nkU9+ZYEtXjLtWNs7yO58Lx3H5zoER+iaL9E0WaAr7CVZmzDMlk84ZcjZtsQDvubWTgYoA64UjE4m8Vt1faqbNMycm+OAdPdXHVUlEFUR8ilRTEVuVRdyKhgiuy1ypH0WeEg90UaTa2tr9qTK9jSHsyljDsfECy5qnt52LFbvPKeFR1529wEcDCg0hlWTR84mvJX7n4o1GZSuBctgvI9ZQ/pcEr1BkWw5+WazqLVxIsuD5sduOW0kOzN5fDKbLFDSvwm47LudqdBD0p0uky0b1vRmewyJtRVOIn59J4rguzRF/zXb6/mS5WqRzXYETY5dXtFhMvBaR7PnGYGr6uXAZdYlZXL16xDXg137t13j44YcRBIHPf/7zfOQjH+HZZ5/lk5/8JHfccQc/+tGP2L17N+985zvp6+tDUZSrfmy+oc/Yheo1PMsCqsQv3t5dCbzFaktUc9TP77xpNTnN5Msv9fPSWU+xUpUl2uMqyxqC9DSGaAj5Cfkk/v6FsxQqwTW6jSAIXtAtgCiKYNuVLLSL43gBcdgnky0Z/OzkBON5nYaQStgvc2w0T2NEpS6oMJguY9k2saAXdD+0roUTYwWKuoUsCciiyJNHxkjkNATRu5lEfDIj2TLD57y5ltGsRrZkVJIQIqJANRC/sP1vaiE9lyxWs/EHB7M8uKaFWFAhr5nVnwO8FrHm2ZvtWu/zEgsL79qR0Eyb04kC2ZJxyQBekSCoSIBAQJXY3Bnnkw+vqz5eH1KXvL9vIlMWlpbtcGAwQ11IJRZQaAr76GkIcWgow3CmhG45c1r0XIgAlTUTVrdEODNRqFbrBLxZ0G3ddbx7e9clg5p4UOX9l2h/XWKJ+cjGjhhf/NB2PvwPu/nRkTF+/z8O8afv3LQgxBnb4wE+NMPW7J23dPDU0XHKhk1bzI/tuqxpibKmJcy5yRInxwuz2olVSaC3McRoVkMWvRlnw3YwLYeibqKZDlLFmcRrfRYJ+yQmCgbnkkXsSpt92C+hWTYFw0KWBb66axBFFKvCdqbtMpQuMZnXEUWBlqiPnx5P0BEP0HARK7Mpzk4WOTtRQBAEogGFI6NZcL1AeS5XnbZYoHbFf+YaOaMLsbs+hD/kjSWqNdTbJ/PenmxKDDhdrj2s2xhWMSzPsi/sl2sqwdcFFWRRRBZBFARiNYKwdNGkKeIjpxmEVJmSMTuaaY8FeGh9CyfH8yiiyMM1ZvQ9t4I4u/o81fZ1bdGayv+TRZ1MyZvn92b1Z18PjuMiCgJ+pdLF4c5+Tmd9gLBfIV00UGWRZTW0J8ozNHrmun2JlRZ51/WSGLVa/KNBBVHwbPM8W9SbGsLdEESmjwjMdD9YyDjCa49HbtoZ4Pf7eeSRR6rf33HHHXz2s58F4IknnuD06dMA7Nixg/b2dp577jkeeuihq35svrGiKUxL1M94TkOVRbb31FYNFwShZgucX5HwKxL3rWkmXTLorAtiWjZ1IZX6kI/OugC66TBR0Ni5opEXTk9iOy7Lm1SoKDTHQypb2qOcmiiQK5uYDsgiyBIcHslRrlT4HTxxjphfpiXmp7suyERBx8UlqCp0xAN01gXYuaKRnxwd58hIFln0KvYjmTJlw8LFa91/7qTF3atmqKcKXvY0r1msaY0giSIrmsPct7oJ03b47oER+pOlql2UiUtTxEcsqFTbT2IBhfqQSqoyC7W8MQSVNi+/6j2pLqjUzG4usbDY3lvHz/qKlE2rogpcWyhmivqgzIb2GBG/jOsKxIIyH713ec0b7hI3HsdxGUiWODLqtbWmSgaaZVPUvTnX5Y0hziVL1fnLuRDwWhf9ikhjxI8iidSHvE4fVRI4nShQMGx8ssCyhhBvWt8676qSSyxxrdm5opHPfWArH/vXvXxt9yCW4/Jn79q8IM/9rvogv3hHD//26iCJnE5QkXhoXTMDqRKrW6K012V5+cwkZdMbufLJAk1hFV+lqGBYNrhegaBkeo4WUz7iLl7hRJFEsmUTw3JwVc/5pKBbqLJA1C+TLVu0xQJMFnSveCIJPH08AQ5ollUpmIBpudy/tmmaNdlU4jnkk1nWGGIkU8ayXaIBme8eGGZXX4q6oMLK5ggBRaY97vdGLM+m2dHbcNmfWXPUz9auOPsHM6iyyH2rm6c93tsYZKzs7btqWWgGfRIhn7eHc/EsjWvxpg2tPHs8ge26rGgK12zNf3xbJ6MZjWRRZ2NHjFt7Z+91u+oDnEsW0S0bWRR5vEbgLYoC79jawVhOI+STayYDHMcl6leoC6q4uNQFFUzbRZ1h65YseIkWp+JecmKswJau6cfVURcgq5nopueC01k3uyjUEQ8QUCWSBS87vKJxtl7TqmZPpFqvlFkjNRT8AQ4N57wgHkiXLA4O5WZ1qGxui7C7L+0lAmyX22qMgC22PsKQXyCvnb/xb+uO37yDucYEJYkkry2QnzdpnL/+67/m7W9/O8lkEtM0aW09LzLU29vLwMDAVT9WC13X0fXz1btcLncd/qq5UWWR9+3oIlU0CPvkmiqTl8P2njqCqkS6aLCiOUwsoKCZNn/1k5M8dWwcgJAq8/H7VyKJIneubEBwoWBYfOYHx/iPAyM4josgCMT8MmXTQrdcTNvCcs57bDsuFA2bloifY2N5MiUDXE8QKpHXiQUVDo9kKeoWPQ0hyobN/sEiftXLXlu2i+t6QjA/OTrOLd11VfXPbd11VfXZoCqxvi1a7TrwZmG9FiXLdnnLplaSBS+DunNlI5FKtV6WRN57axdHR7OoksT69iijI8MA/OLtPaAGqAuqly2wt8T8ZXljmFUdzfzbnsFqK9vFuGN5AyubI7zjlg5CPs/zdallfv7woyNjHBvLkcjpVRHM1qgXhA+lNJ49OcF4TkMSRdyL3PCifplYUEHAE7/rqgsS9stIosh7d3QT9cuMZjW6G4LcsfzqVaGXWGKh8ZaNbfzV+7by208c4BuvDnl7hPdtXZD3Q1UWed+tXaRKBhGfwstnJ/mP/UMkcgYhn0Q86KNVFjBdl4agj+FMmVMTJfyyp5Ae8Stky6a3v3FdXMerdod8MnKlKqDKEnFJJOKX8ckikugpi/tkic66IMubQuwbsMlpJvmyQ9GwwXUxHdfzTpdF0iWDofT52XjdsvnaKwOkS+dbvafuX0XDIqiINEd8FZV8u+pQBNN1ji6XB9Y2s3NlA4oozuq8eHRzO2ogNK3D80I6YgE660LYbhEB2DTHCOJH71nOyuYwJcPm3lVNNQtOuuVQH1YJqBI+WaqKhF7IlHiogIDruuztT/Or98z+fS+cnmTvQJqAIvHYlnbaZ8yMu67LyUS+qqVwZqKEYduz7veW7aKbTrUDtb5GRfvlsylEQSCgeO/Ri2dTvP2W6e4lpxMFSrrljZc6LkdHZ8/pCyKsbAwxkPZa4Ve31hZmLhtWNaGkmTY15AX4yfGJ6tcO8N0DngVjUBWZimZqdR4sZIwZEgJThbrFwNglClCXw7zYxfzpn/4pp0+f5umnn6ZcvjH2AZ/+9Kf51Kc+dUN+11xIokBT5LW3hsysLvsVib0Dmer3RcOz+Hh8hn3SsTFvsXNdL4jf2hUjVzY5OJJDEQVKhl2dFRPw/Ln9qlRVA3dxESuiMXcur+d7B0erbc2iAAFVxnacir2IU+0e6E8VuWtlI/Ggwj2rGqs2dDMFQYDqojaFp+zaw0RemzXrFFAltvfMfg2/IhG9BlZ3S8wPRjJlxsoa/aniJSsTkgBddUFP5VgQaFmaZ5539E0U8SsSjWFf9boWBIGwX2Zlc4hc2SQWUDCinuvFXGG8aTs0hX2UTc8ScyBdYm1bhDetb2F9e7TmZnWJJV4vvH1rB6ok8omv7eN7B0dJFQ2+8IvbiAcX3qZflkSaI36yZYMvPHuGybxOybQZSpeJ+GUEQURwvTVhStTWclwk0QvMdcvBcVwsx9vnSAIIuMQrrd9FwyIWkGmO+FBlia66IOmSSUPYE5HLlU3Wt0fRTYdEXvPU1S0H07ARRZegTybkk2iP+av3qEROrwbwAC+fSVb1ecayGp3xAMubwixrDPHG9a0IAvz0eALwdDmupnOiVnv7FBcTOSwaNjuW1dEe9yNLIssaa4u9hnwyb72IngjAgcE0E3mdsmljOy5nJ4qzdIkyJQNRALHSQp7VZou/JXLn5/xLhs2zJyb4hdunjzkJguexDlMFKLfmTLxfkfApIo4DAVUkr9cYZ1UkwqqE7Xp79UCN9ytTNBnLeVoJZcHh7OTsGXVRFGir7EEkSaA1Wvu9XNUS4dBQBttxaY76iAVmxwaW41b+Ro+pLo+GsI9EWUAQoDO+uPY4xoykz77B2YmShcq12JLc9CD+s5/9LN/85jd56qmnCAaDBINBZFlmbGysWlU/d+4c3d3dNDQ0XNVjtfi93/s9fvu3f7v6fS6Xo6ur6zr/tTeOhpDCYMqzfvPJIn2TRf7hhT5uW1ZfXUANy7MfsWwXw3bpT3mep+vaImSKJqmiTrEymySL0FEXxHVdGsM+In6ZU+MFGiMq965uojXqCVABjGbLBFWJhze2VlSkTU4liuim17pWF1QZrYh7rGrWL+olv6E9ysmxPKNZjXhQ4dbeep4/OVFdzG/treOeVbNFca433m1iiZvBt/YOM1BwGc9qnmgRzBnYKZJIybRZ1RqtKYSzxM0np5vkyib9qZJXjYoGaI/72dwZZ0tXnH9/dZhEXiOR11EVcU5V+qAqEwuqBG2nWolRJRGjYhu1xBKvdx7e1MYXVYnf+Ne9vHgmyTu/8CJf+uVbWdF0Zbat15OCbvHz05OYtsNtvfVzCklqps1XXxlgJFOuKn+7rosoeEG0Kom4QDQgYxS8NUGVRfyKxLrWSMWGzCVTNhEFEVXyigSxoEIip7G1O84HdnTz7f0jGLZDU8THG9e3sKolzETea+X/+ZkkPzg0ykRe9yrOQa8TUhYFHNerlpYMq7I2KUzkNQbT5ar+z/6KLXBH3E9dSKVk2HTWB1nbFkGRxGqB5lqPPrx4ZpLB/CR1IZWHN7YSmlH2DfokNNMhXfJE5FZfoa3vhYzndPoqwe14TvNGGmbwpg0tPHV0nKJh45NF3rButsnrVCxnOU51Lnw2AutaIxQNC9eFNa3RanfFhXTXBxjOlLEr7ffd9bN1BT7+wEoODWdI5A2aIz4+/sCK2b9N9DrAdMtGrGgZzCTiU3Adl/G8hoAwp83xssYQA6kSruvSEPLREZ99TG/b0s4//rzPc1GQRd57WwdPVB5rCKsIgD7Tb3WBIwEX9luubl48Y5DvvqWDr+wZrn5fF5AYvMLXuKlB/F/+5V/y1a9+laeeemqax/x73vMe/u7v/o4/+qM/Yvfu3QwPD3Pfffe9psdm4vP58PkWj0DCTO5b3cRY1st+hlSRsmUjlk2eOjZOV12QaEBmQ1uUvYNpLMebI434ZZqjfh7d3M4Lp7yb6EimjGF7i2ZQEZnIGxR0i1t763hsSztbOuMsawxyfDxPqmQwlCqQKVsUZJGcZvIbD66kLqiSKum8eDpJquhZfuQ1E0USSZUu3k7ikyXet6MLrTKXZDluNYAHeLU/zZ3LG5BvcFtg1CeRvSB7Ky/FCDeM0VyZwaxDWbfxywJBRSFXNtFqRPIuLr9y1zJ6G0ILQszp9YiAVxmpqwjZtcb8HB7NksjpHBjMki+bjGU0ypaNJAj4JLiwcCIAAUVk54p6fvOh1Xz5pX5OjOVpjweI+JWam6Ellni98sCaZr7xn3fykX/eQ99kkbf9/1/gT96xkce3dV76h28A3zswUk3yD6XL/MpdvTUryqcTBcqGQ1d9kHOTxcoeQcK0PTX399zaybu2d/GjQ6McGs5WRe2ao34eWtfCssYgBwazfHlXP2XTroph9jQEuWtlIw+uaeLvnjvL/sEMsijwoZ291QJIZ12Qp46OczpRoC3m59R4nnhAIRpQCCoS3Q1BIn4ZvyKTLBgE6+VKEkEipMoosqcR5Ku0+Ad8Mr90ew+iKEwbrbxeugX7+jP4Q2EKusXPTk1WnZGmsB0X03IoaJ5IcW2btsujIazSGFYpmzYNIR+KNPuzbAj5uaW7jvG8Rjyg0NswO+HeGvPjuJ67kSqL/MYDK2c9RxQFNMuhpNu4uJQMq6KeP53tPfUcG82jWQ5d9QGWN0VmPcd1oSXqR5UlGkLqNIeTKXb01rO8KUSmZCKLAg+ubZ71nMmCTlYzaa4Uq6bGQ2eyrDFEXjMp6BZrWiKUTJvIjKTAf314HcsaQxwYzPLIplZ6Al7na0ARSRqen33Uf9Nrs9cUWRaxLkjcz0ebzKvllt76aUH89t56Dl7ha9y0T3toaIjf+Z3fYfny5TzwwAOAF1jv2rWLP/uzP+ODH/wgq1atQlVVvvzlL1cV5q/2sdcbqiLx5srCvH8wU12AXNfzoIwJCm+/pYNoQObYWA6rYu+hmTYnxvL0NobQTE9cqrshRNmw2NWXoj0eoF5WyZTM6k3/R4fHODaaI182yWo2QVVGkQR2n0vxJ2/biCyLxIIKyxrDjGTK/PH3jpKu2ITsrCGqMhNBOH9jkwQvA1mttMniTRHoKc5ov7IWV/JzXpPXTVJFG9N2KJkOiiiiyBJ6xWVhCknw2i5ty1kK4OcxEZ/CLd2Bqi/y4ZEcqiwhCAJ7+lMVn16vLdbGc6mQRa/LIqBKbO6I0dMQIh5UWNEY5lNv38jRkSyposnyptCSJdwSS8xgXVuUb338Lj7+lb280pfit584wPMnJ/jU2zYSm0PE7EaRvGDmtWzYlHS7ZhA/tZm/rbeelU1hAqqEZloUdIegIrKmNUpHPMCWrji5C7RTbl9Wz/beOr62e5BTY3n6kyVCPomIX0FVRAQEhtNlvvh8H0dGskiiZ532wulJHlrXUp2vTha9AEoWvSA3HvA0d8qWXe0uDKremBB4s+GxgFIVZDs6kp02Cmm5LrGboNNRy7GnoFn0TRarxZFjI/mrfv1ljWEGm70xWVkUaKvR7m3YNmvboqytvB+1LETHst6o1a29dUiCwKlEgduXT98/mpbDaLZMe9yPCyQLXtFpZoXcp0g8urm9OkqaLhmzZsm/c3CEgm6jSCI5zeJ7h0b46D3Tq/EtUT//4x2beOnsJK1Rf82uUJ8ieroEPqH6u2sxkilXC1TZksknHlxV83nv3dHNe3d4Xw8NDVWPQzZkBIFZOgELnQtFAQXAXEQGU9/dPzLt+93n0nM8c25uWhDf2dnpWZ7VoKWlhSeffPKaPvZ64/Zl9fzg0Bi247KtO15tRVreFKK5Mof/2JZ2wn4Z5ZBIumSiWw7r26MUdW+m1CeLRIMK9SGFFO60hXAqJrIdl+NjnihgS9SHJAooklARylORZwiKuEB3fZD6oErYJ9Ofqp2VnAtRFHhsczvPnEggCHD/6uab0irbGFUZy53fbASWSvE3jPtWNTOhpSobNgtRFAgqXvufi4vteOeZIgmeuNlN3pQucXHWtUfpyzpsaI/SHg/w5JGxqviR47iIeOuNA0iCgChMJe9EGkM+NnbEkUSBVS3harJmfXttIaYllljCoyni46sfvYO/eeY0f/30Kb61f4SfnZrk9x9dxztv6bhpIyirWyIcHvYSeq0xf00VcoCVzWFu7a3jxFie5U1huuoDPH9ykvpKt62vsvfY3BlnIFViMFWmLe5nW08d4zmNybyOKntici6wtjXC+AVWpcOZEpZzfqZaRJg2w7q6JcJIRkMQBEKqXA3uVzWFeWBtM0XdYn1btFqAaIv6WdYYom/S03J565Z2+iY9y9xNHbE5/87rQWNUpWAzpzOSLIlEAl4XAfCaEjvbe+oIKBKposGK5lA1qXEh69qiHBrKkiwYhP1yTQXyqfd+qj2+1ukpSwINYU8cUADiAbWmaPTqljBjWe+zi/jlmjZ9M2fgQ2rt96CrPkhX/dwWpLGAyi/d2cM39gwiSSK/eveyms8bSJVoDPtwXBdRFDg7WWTDHIKCM9nUHqfgKoiiQFfd4gri37qpjW+8OoTjQsgn8bEaYw0LFWumyOPF7HfmYHH1XSxRZWVzhP/j7gAlw6Ix5COvWWiWTXPEV705q7LImze0sr2njpFMmZaIj+aonz/70XH2D2QQBIF7VzXyvtu6USSBr70ywNPHE/hkqerfOiX4MZIp45NF7l/TzEi6jF+V+M/3zb7YAopEUJWqC2QtsZBL0d0Q5Jd39l71e3Mt+NCdvfzfPz5Zrfy+dcvFxV2WuHbs6K1nQpM4NJJhsmAgCF41tz0WqI5rKJLArT31PL6ts7aP7hLzhgfXNmOIPhRRxK+KjGbK/OjIOJLoOVdols3J8QIAvQ1BGkIqEwUDnyzyvtu6qQt69pKrm2e3RC6xxBJzI4kCn3jDKu5a2cB//fdDnE4U+O0nDvDEnkE+94FbbsoxPbSumd6GILrlsLolctEuqntWNVWrn47jkiwYnJ0s0hzxcUelSqvKIo9v66xWXQEifgVJFAj5ZDrqApyZKDCYKqPInle3JAosawzTURfg0FCWuqDKu7d3UtAssmWT1pjX/t0Q8pEqGTSFVcZynm3Zpo4YW7vis45VFAXetqWdyaJOQPEq/znNxLJd6m+wovi7bunEkvyE/XJNl46oX2ZHbx3HRj1P9p0rGmu8yuWzvv3i1r5TXVWaZVMnqzWr1S1RLwGzr6JO/8Ca2a3rgiDwsQdW8PVXBnFceNe2zpoODNt76mkM+8iVLZY3hWoG+u+9tYv+VIn+ZJEVTWEev+Xq93iPbGrjkU2zfe0vJB5UyVc6RiRBoD58+efEQxua2TdqIEsCb1w/W09gIfOnj2/m7pVNnE7keOe2LjoXkbbRu7Z18Mq5FJbjWQNu76nj8BW+xlIQv4gJ+2TCFcGSWFAhRu1MYmPYV82OeqIsIt0NQQS8Fq+pG8xH713BL+9chiyCWMmG6pZXtR/LeaIdH9zZw10XWfDrQypvWNvCq/0pgj55wS44G9tjdMQDZMsGIZ/MrTWU9Ze4PrTFA/jVPBN5ncaQigOoishvPriK+9c2VwWMllg4TK0/u8+lCKgyb9/ShgNsaIuRKRt01uVoifq5f00TQVVmPFfm0FCOk2N5BAEeWteyNDKxxBJXyfaeen7wiXv40gtn+dzTp5gsGMQDKombIAQtCAKrWq48ISeKAm/a0Drn4xd2FsQCCo9ubmPfQAbLcWiPB1AkkYJuYTkOzdEAd69sZHlTGMO0kSWRs5NF/uWlfhzXU7F//45uuhuCdDcEWdMS4chIFkUSZymvzzzG5guEfKP+m9MlJksi9RcZM5JEgZCqeCNMrnvduwQOD2cZyWgEVZlsyWR3X4oHasyX37e6ibtXNiIKzNkpsr4txh8+5iUNLnZP6Gm4uEBa2C/zqbdtuIK/4rXxiTes4ovPnaGo27x1S9sVFR9Wt0S5ddXFEyULmUc2twEXT4IsRHqbwnTEg6SKOn5FYltPHf98ha+xFMQvMQtZEqoLiCgI0zLYM4OjwVQZzXRY2+otIMOpMlyi22VTZ4xNnQu73XUgVaajLkBHpXVpJKPd5CN6/ZDIaZQNm0hlA+RXRHb01nPfGq8isxTAL1ymuslEUUQEIgG5cgOfjiwKvNKXrv7MwaHsRTfPSyyxxMVRZZGP3b+Sxza3ky2bi34dXdEUZkVTmGdOJNhfseQN+2TuXd00rcVcrVSFDw1nqoromZLJuWSxOtMeUKVFlcjPlEyGM+XqfPXB4Qx3r3pt1fiLMbOJ2L2I98/laCAtxIRud32Q//HOTTf7MJa4gQymSrTG/LTGvITa+FX4xt/wIP7pp5/m6aefJpFI4DjT1Sv+4R/+4UYfzhIz8CsS96xq5GenJhEFgQfWXHzmPDJDCTO8yJQx52JTR4xnTiYoaBYBRWJL11IAcaMIqjKqLNHTEKQ/WcKvyDyw9uZoIyxxbdncGeN0osB4TqMxrLKte/a8Jnj+xIJwPuh/vaw7SyxxvemqD7J4zHYvza09dQwkS6SKBu1xPxs7alc0wz5lxveLd80JqBKKJGBWBJEj1/lv3dge4/R4geFMmbqKlfASSyx2NrTHiAXGyJZNfLLIlqsoRNzQVehTn/oUf/zHf8ytt95KW1vbvNp027YneTg0NEQ0unjbUi6HFgnescrLDMlOjqGh3EWfvzFucmwsT8SnsCqsVhUzbzaDg57j4sDAwDQLw2tBveDy6HIffZMmbTGF5QF93vzdi5WpzzM7OcrWBhmxrLGyS+bOlXXEnDxDQ1evoLvEjWeu6/PeDhG9xYcqiaQnxphLr3VT3OLIaI6wT2FNZP6sO69Xrud6u8TN4fXymT7YJWHYPnyyyMTYaM3nLA/ajAoFMiWDlc1hhFKKoVLqBh/pa+NKPs9tjS57+9MoksjW+obrvr7ubBPQm7x1Pzc5zsV3nUvA6+f6XKwEgMdW+jg5btAckVkd8SrxU/Ho5SC4c0nEXwfa2tr48z//cz74wQ/eqF952ezevZvbbrvtZh/GEkssscQSSyyxxBJLLLHEEq8zXnnlFXbs2HFZz72hlXjDMNi5c+eN/JWXzcqVKwEvs7XYKvHnkkW+f+B8drkxovK+HXNbYsxXfnR4lDOJIuDN6r//tq5Z3p4XMjQ0xIYNG67LZ/qtvUN86wKPx7tXNfCRexaP9cV85HI+T9tx+ecX+ygb3qhONCDzwYqTwlzs7kvxSt/5isr69mhNUZ0lri21Ps/jozmePpaoPufuVQ1s6ardUl8yLP7xhXPV7wUB/tN9KxbkPORi4Fqtt6+cTbH73Pnr8eHNrSxvDF+LQ7xsjo1m+emxier3XfUB3ra144Yew3zget5Dl7jxLH2e15ZT43mePDJe/b4t7ufxbZ3X7fftOpNkT//53rTtTS5vvvvWRf15/s/vHeFUZd8P8BsPrOTWZYtz3CKXy9HV1VWNRy+HGxrEf+QjH+ErX/kK//2///cb+WsvC0nyxEui0eiiuxhW+oPUD5QoGV6Lxoae+gX5N+piGn/ogg26GiAanVthdOpvvB6faWNDHDWYrc7kNtbXLcj3dCFxOZ9n2bBxlSBTor+mAOHwxW2K1vcqHJ4wcVwXQYANva1Eozc2aHg9UuvztBIG/tD5996SA3N+1hHXpbe9wFjWE5XsbQwSjy9pU9wsrtV6a0rFaeeALc19Dlwv1sh+9ozoGJaXDNzQ2/S6XN+v5z30RrBvIM3/eu4sewe8tvB7VzfysftX0rWIbKquhIX+ec43VqkBdg2X0U1vndjY23hd31djxtroyF779WL+POvicZTKpKQsCjTUxxbt3zrFVDx6OdzQIF7TNL74xS/y1FNPsXnzZhRlulDIX/7lX97Iw3ndEFRl3r+jm5OJPGGfzNrWhemnvKE9ynMnvOpIfUitKjreDG5f1sChoRwTBZ2YX6npWbrEjSegSixvCnF2wsvcrm2NXrIy2xYL8N4dnQymyrRG/XQ3vD43ePOBVS0R9g1mMCwHWRRYcxGrKUEQeHxbB4eHc0iiwIZLeBEvsTBY2xbl5HgBx3XxKxIrmi5uBXU9iAdV3r+jizMTRepDCiubF+Y98/XMl352lj/9wTGcCwZGv/rKIN/aN8JfvW8rb9k4tx3dEktcDlG/wgd2dHMqUSAeVFh9FdaIV8K6tginE97aGFAluhsWf7HhrVvaKegWmuWwrDHEmtal+/yF3NAg/uDBg2zduhWAw4enW9rPJ5G7xUgsqLBjgSp+2o7LsycSjGQ1ehqCrG+L0tsYwidffrbqWlMfUtnaFefgcJYVTSHabmJCYQmPoXSJF05NAnDnigaaIz6WNV5eANAWC1yRL+sS15ZU0eCnxxMYlsNdKxvwKxLNET/1FxmXAfDJ0jQ7qCUWPssaQ/zC7d0kizrt8cA0L+2T43l2n0sRUCTesLaFWPD6+Vc3hH00hH3X7fWXuH7884vn+B/fPwbAY1va+fDOXkqGxed/eppdfSk+9q+v8oVf3L4UyC/xmqkLqdx2ifbugWSJn5+ZRBIF7l/TRHPk6vaLy5vC1bWxIx4gOzl+6R9a4CxvCrG6NcJEXmdHTx1+5ebt++cjNzSIf+aZZ27kr1u0lAyL7x8cJZHXWdkc5o3rWhb1HOjegTQHh7IATAKrmiM3/UI+MpLj2weGyZRMTo3naQz7uHd10009ptczlu3wnQMj6KZDsqjzk6Pj3LmigTesa7nsQH6Jm8cPD4+SyOkAJAs669qi/PR4gqhf4a2b24gHLx7ML7G4aIr4aIp4AXS2ZPK9QyMkchqD6TJddV6nzI+PjPHeHa8nM7QlLodX+9N86rtHAPith1bziTesrBaJdq5o5JP/fpB/e3WI3/r6fnobd7J2qbJ31Yxkyvzo8BiG7bBzRQObO+M3+5DmHYbl8N2DI9XRnO8dGOX/uHvZVb/etLXxmhzh/Ob7B0d59kQCzXQYSpfobgjd1C7c+YZ4s37x0NDQkiXQVbLrbIqhdBnDcjg6kuP42OK21ipo1vTvdWuOZ944Dg5lSBYMbMclWzbZNziXEdYSNwLTdtFNB8d1OZMoUNQtcmWTHx4e5QYacCxxlVx4jadKBrv6kuimw0Re59kTExf5ySUWO8+dmiCR0yloNsPpMtmyCUB+HtwHlphflAyL33liP44L79jaPi2AB5BEgU8/vom7VzZSNm1+++sHMG3nJh7xwubJI57Hddmw+enxBHnNvNmHNO/QLbsawAMUl9atK2LvQJqibmM7LiMZjdOJxR3vXCk3NIh3HIc//uM/JhaL0dPTQ09PD/F4nD/5kz/BcZYW0stFt6a/V8YivwltaI+iyt6pGlCleTHT3x4PoEjeMYmiQMdSK/ZNJaBKrGuL4LgujgstUT+CIGDZLksx/Pxna1e8+nVbzE/ggk6bxb6+LXFxzMr9LuiTiPoV7Mpe4cJzZoklAL74/FnOJUu0xfx86u0ba45pypLI//P+rcSDCkdHc3zx+bM34UgXBxeuza4Llr10s51JxK+wquX87PrW7vjNO5gFSHsswNRVHFClpRGnGdzQdvrf//3f5+///u/5zGc+w1133QXACy+8wB/90R+haRr/83/+zxt5OAuWW3vr6E8WKRk2TRHfvAhqryfNUT8furOHZMGgKeIj5Luhp21Nbl/WwKnxAkPpEo1hH29Y13KzD+l1z5s3tLKhPcbalginJ4oIAty1smFRj5osFm5f3kBvYwjddGiL+fnuwRH6kyVUWeSOZQ03+/CWuIncvryesZyGYTk8tL6Z25Y1EPJJVz1XusTiJJHXqgH57z+6jlhgbr2ExrCPP3xsPb/19QP8zTOnec+tnUvn01Vw18pGnjqawHFdNnbELmr5+3rm0U1tDHWWkSVhSXvnCnnHLR1olk1Bs1jfHr3u4oELjRsaDf3zP/8zX/rSl3jb295W/bfNmzfT0dHBxz72saUg/jJpDPv4lbuWUdQtogEF6XUQpET8ChH/9RMxulICqsSv3NVLTrMI++Rqp8ASNw9BEOiqD9JVHySnmYiCQHgeJHyWuDxaouc30e+8pYNMySSgSjdd/2KJm0tnXZBfvXsZZcMmFlCWknJL1ORzT5+iZNhs7Yrz6Ka2Sz7/HVs7+OcX+9k/mOGvnzrF/3znphtwlIuLDe0xljWGMC33uopMLnSm9iZLXDld9UF+88FVS+v/HNzQyCOVSrF27dpZ/7527VpSqdSNPJQFjyqL1IVUJFFgNFtmOFO+qtnfsazGULq0NDd8FZi2S14z0S37Zh/KoiWR1xhMlXCci5+fJcOiP1ms6iVE/cqCDOA106Y/WST3Op4tLBkWA6kSiixe8wA+p5n0J4to5tI1O9+Y+mzKxuzPxq9I1IXUebOBcxyXwVSJRE672YeyBN594ok9nsbSJx9ee1luR4Ig8N8eWQfA13YPcm6yeF2PcbESVOV5F8BP7YlvBIblMJAskS4aN+T31cJxHPacS3F4eHFK3c239X8+cUN3uVu2bOHzn/88n/vc56b9++c//3m2bNlyIw9l0fDcyQn29qeZyOs4uOzoqeehdZdnvfOzUxPsOecJsq1pjfDIZWSvl/DIlAw+88PjjGU14kGF//LmNXTWLWVaryV7zqX4WcUyrrcxyPaG2oF8umjw9T2DlA0bVRZ5ZFMrBwaz5DWTzZ1xtiyQ2dm8ZvL13YPkNQtFEnjntk464q+v1rsLP0ufIvLu7Z1E/QpPHRsnXTRY3RLh9uVX114/lC7xrX3DmLZLxC/z/tu6F2SiZzEykinzH/uGMSyHsE/mXds7eLU/w2i2TFd9kPtWNc2bDZzrunz34AhnJ7yg784VDdxxlefkEteGf/r5OQzLYVt3nNsvYfd1Ibctq+f+NU08e2KCL/7sLH+6VI1f8Pz73iF+cHAUF3jDumZ+8fae6/a7dMvm67sHSRYMREHg0c2trGy+8e3e//3bhzmUMBEEeNvmdn7rTWtu+DEscXO4oTuYP//zP+fRRx/lqaee4s477wTgpZdeYnBwkB/84Ac38lDmFY7j8uTRMU4nCjRFfLx1c/tlzX27rsv+gQyaaXN2ooAL1AdVHNflPbde3HrHdV32DWSq3x8ZzhJUJQKKxJau+LxuYTVtB9txb+ox/ujwGC+enqBo2PgViX/bM8hvvXFp4byW7B04r/h/brLEimDta+LYWK5avSsZFl/ZNUBQ9Z77zIkEbTE/zVE/lu3ww8Nj9CeLtMUCPLq5bdo5pJk2BwYzCILAlq4YPvnGnl8nxwvkKyrtpu1yaCjzugriTdvhwFCm+lnqpsORkRyO43JqvADAZCFJS9SPJAoMpEq0RP2sbA5f7GUBSOQ0/vqpUwxnyrTHA3TEA5wcz7Ote8ljfj5waDhbVXDOlA2+s3+YdMm7FpIFg4aQetPsq/YNpPnm3iEUSeThTW2sbApXA3jv8cxSEH8TKegW//vlfgB+/b4Vl1WFv5CP3b+SZ09M8I09Q/xfb1hFc3RpNn6hYjsuX9nVz0Rex3U9u9J3bO24bjpK/ckSyYJXgXdcl/2D2ZpBfMmw2H0uhSpJbO+pu+bjl7v70kh+r4j03YMjiyqITxV0/tfPzpLI6Ty4tpnHtrTf7EOaV9zQIP6+++7j5MmT/M3f/A3Hjx8H4PHHH+djH/sY7e2v3w/m+FieY6OebcJIRuPls8nLEkoTBIGQTyJbNnDx7FNEQbgsCwvvZ2VyFbue0xMFBEFAEgXOTBT5hdu7X9PfdC0xLIdU0SAWUBhMl/jx4TEsx2VHbz13r2q8Kcd0aCjDeN7AcVzymlX1sV/i2hHyyRR1L6CTRAG/UvvGN1VNHcmUOTNRwHZc1rVFaYn6cV0oVoLCQ8NZTie8YHAgVeLV/jR3rTx//nxz7zDjlfbYvskC79txY6+BiH/6chz2za8WxevJqfE839o3zFCmjAD0NIQA77MdmdEWeXaiwMHhbNV14JFNbay5hLjn08cT1eTfYKpEXVAhslSFnxe4rotlO2imTbpk0J8sEawI17VWAqqbZSs6lC7x+Z+erv5+3XL4z/evQBYFrMqIT9g3fxPerwemupeWN4V441UIzO7orWN7Tx2v9qf5h5+f45MPzx75XGJh4Lpu1foXPLtS+zW4m2imTaZkEg8qNYtGM5MDtdYC23H5v398gqMjOQQB7l7ZxG88uPKqj6kWF+atFptG1ud+eoqfHB3HdlwOD2dZ3hRiQ3vsZh/WvOGG72La29uXBOxmYM2w17sS39LHtrTz0+MJMmWTqF9BlgS29VxedemxzW08e2ICzbJpiwWqF/94TkO37BteiaxFUbf4+u5BsmUTvyKhmRZUDCd2n0uxqTN2URXa64XluDiOi+O6CIC1ZIN1zXl4YxtPHxtHtxzuWF6P36idKNnUEWM8p/HMiQRapaX+0FCW5nU+WmJ+Ouu8arY5w/7mQnsczbSrATx4yTTLdpClGycbsrolwsQynbMTBZoifm67grbQhc5XXhng6EgOt2IRuLY1wsrmCNu662iO+BhIlrAcl3hQQRLFabaBA6nSJYN4y3borAti2i5Fw2JzZ4xVSyq3Nx2vNX2UU+N5BtMlEjmdrvogDSGVY2M5miM+wj6Z9W3Rm3J8Q+ky9gUnW65sIosij25u46WzSRRJ5MG1zTfl2Jbwzp9/3eVV4f+Pu5Zd1ciFIAj8p/tW8NF/2cO/7urnE29YWe3kWmJhIQoC61qjHB/LAbC8KYRPvbp9bLpo8MSeQUqGTcQv855bu2btNTviAe5b08SRkRyxgMK9q5tmvc5kQePoiHc8rgsvnZ285kH8Wze38/y5AqIo8OE7e6/pa99sXu3PkCtbgItm2uzrTy8F8Rdw3VeqgwcPsnHjRkRR5ODBgxd97ubNm6/34dxQbMdFFJjV3nVhcGDZDmtaIxwezjGe0wj5JG7tvfzNe0vUzwdu6+a9t3YxkikTUCUaKz6KrutiO+6cgUhz1M97d3ht919+2WtBAmiM+KYF8HP9HTeC42M5spVuAc20GclotFdajAUBblbSsTUWIOiTMG0HSRCmKWvPZ8qGjSqBJN38BM2lqA+p08ZChmZ0O0xdR4IgcPuyBv5e6av6izuuyzu2ttPVEEKpnP8bO7ybe7JgEPHLbOs6n+zyySKNYZXJSmtcc9R33QL4WskBzbDwqzJ3rWyc1h3weqE/6YlrCoKAJMDDm9qq1fiehhAfurOXbNmkJeZjPKvzan+quh61x/3T3tOpRMCFFYk7VzTyw0OjrGwOs6Y1wsMbWy/72G50Mmexc+HnM1HQOTWeRxRgRWOYom7RXVFx3tZdx7u2ddIc9d20oKo9FqC7Psip8TyO6yUMW6I+BMHP8qbwrHPjcs+VWufoElfOy2dTnJ0oElIl3nFLx1W/zhvWNtPTEKQ/WeJb+0bmVSfiYuFyro3LeY5mWKiyiCjOfp4oCnzk3uX84NAIjuvZzl5tMergcJZSpYsvr1kcGc6ys8a9eVt33UXHskKqUilAea8Vuw4uS7/x4Erep0n4ZIGuyn1zsRBSJRC8BIggCNQFF5+N4WvZY1z3O+PWrVsZGxujubmZrVu3IghCTSV0QRCw7cWjGPzz05PsPpfCJ0u8dXMbXfVBXNflyaPjHB3JEfZJBH0yiZxONKDw9q3tKKJI0CdVg44rQRKnW1iMZst8Z/8IZdNmc2eMB9devM3s8W0d7O3PALCtJ179993nUrx4OoksCTy8sZXlTZeeP72WzGxhun15AxN5HdN22Lmi4abZzt2+rJ6v7upHNx38qsDOlfN/JvL3v3mQ505NIksCv/WG1bz9NWx6bia6ZfPE7kGGM2Waoz4ev6WToCqxujXCqfECBd0Thvv+oTEeWt/CukoVL6jK/OLtPeQ1k7BPnrZoCoLA49s62TuQRhSE6zIrPVnQ+da+YfKaxdrWCG/Z2Irrunz2yZO82p8m7JP5nTetZv3rLMu8byBFSbcYy+nUBRXWtEZpqCQip4gFFWJBhUzJ4Onj42TKJkFV4i0b2jg2mufJI+M0Rnzc1lvPT48n0C2b7T113LPKq4ysbA7z0XuXo1vOZXfuFHSL/9g7xGTBoKs+6K3RS8H8a2IwVeJ7B0fRLZtbe+pJFXV2n0shiwJrW6Ns7IihSF5g+9D6Vnobb+6GtLshyId39nI6UaAupLKjkmBP5DW+vW+Egu55F79xXTM/OZbg6EiOiF/mbVvb5/Qdv/A9uPAcXeLKmarCv/2WjtckUimKAh+8o4f/8f1j/MtL5/jAbV03pWixGMmUDL65d5hs2WRFc5i3bmqb1TFh2g7f3j/CYKpEY1jlnds6a36en3v6FC+emcSvSPzmg6vYXqPrNKhKBBUZt/L11RKYsff0X+Vrhf0yv37fcr7x6hCyKPDhncuu+pjm4i9+cpKfnskjiQIfuXsZH1xE1fj71zZ5jjKWQ1ddgM1di2d/ZDsu36uIpMaDCg+tuPKOs+sexPf19dHU1FT9+vVAsqDzSp9nmaeZNs+cSPChO3sZSJWqbTX9yRKJvM66tii5ssnLZ5O8dfO10wV4/uRENYt4YDDL2tZotYJdi6F0mYmCRjygIlcynHnN5IWKOrhhufz0eOKGB/Hr26KM5zTOThRpifp504YWfLKE47g3Va24L1nEp0gEKwJ75yZLN+1YLoe9/WmePTkBgGm5/N3zZxZsEH9oKMtwxquYJ3I6r/anuXtVI79y1zKeOjrGCycnUWSRw8NZUiWDP3jr+uqGTBIF4nNkckM++bpuqH9+erIqXHd8LM/q1ggTleOHikDTS/18+l2LqyPpUrx0JsXGjphXbRVcfuWu3jk35C+cmuTAoCd+Vx9W6UsWGEx5195kXufLL/dTH/I+3z3n0qxri1Y7k/zKlXnO7z6XqnZmDKZKHB7OcsuSEN5r4pkTiWpF6ulj48iSwPLGMEPpEumSwe89so6Gyuc3VxClmTYvnJokr3vuEyuu8z1peVN41n3vZycnq3PyR0dyRH1K9d6e1yxeODXJ49s6a77esycnqu/BnnNp1rZGaYr4aj53ibmZLOj8+MgYAL9w22uvnL9nexefffIEx8fy7OlPVxM2S7w2XjyTrHZTnkkUOJnIs7Z1erByeDh7fh0vGOzuS/HAjDGVw8NZfn7a24+WDZt/eencrCDedV2ePjZe3Rs+c3yCdW3Rq0q+buuOkyzoDGc8h4wtr0FYc+eKRu6siF/Ota4VdYufnZpEM73k3pX4yv/w0CiW5EcAvvSzvkUVxEf9Chs74mimRUs0wCXchhcUJ8byVZHUTMnklXNXbrV+3YP4np7z9g79/f3s3LkTWZ7+ay3L4sUXX5z23IXMzHNsyuP6Ylbs19qmPVUyePrYOJpls7wxhOOe31CMZsvV2cP6kEoir/GDQ6OVYyhhOy4PrW+Z/XfcBC95QRB4cG0LD87QmrnZdkOJbJlUUce0vTmdG+VJerU4M3QXbsJHee1wZ37r/UNjWCUWUBjJaRR0E58sMVnQSRWNWZXdmSQLOkPpMi1RP62x6zMaMfM9d93Z15S9oD+YqyNdMkhoFqIgsLYtWu2cqMWJ8TyjWU+7IFUyKBueGFpDyFftdgLPc7xUeazxEp/9nMw6z5Z4rRQ0iyMjWWzHJRZQUCSRyYKOIomsb49e1mf17IlEVQh2IFnmg3f2VBM31xrTdjgxlkeWBFY3R6r3nZnngu1ewfo640F36cy6Kv5tzxCm7bKlK87GjtdenYsFFd6+pYOv7xnkX17qX9RB/J6+FIPFFHUhlTeuayFQo8p8OlHgpTOTKJLIG9a1XHWiqdZ9b9ZzZn0/+0kz75U1X8ed/u8u7lXvdeSKG8W14lKdHT88NMqBoSym7dCfLPKRe5Zftqp+XjNxFe+5i3E10SyLomFju86iCuJnnedXcbLe0N7ABx54gFRqdqYhm83ywAMPXNZraJrGO97xDlavXs2WLVt44xvfyOnTpwFIJBK85S1vYdWqVWzcuJHnn3/+mh7/5dIY9nFLdxwAVRa5f42XUexpCFYFmDrqAlVl9bBP5s4Vr60d27Sdqiq947gcHsqSqWxyzyVLFCoVwNOJAl/fPchPjyf46isDJAs6mZI57dxJl7zqU9SvVK1zZFFYEvC5gFTJQLdcLNtFtx2SBe3SP3SZuK5LQbeuqVjercsauHOFd77Jksiv3n3tW7puFBs7YzRHvQ1FY1ittr7/9HiCwXSZkmFR0Gw008Z23WoVYC4SOY2vvjLAT48n+PruQc5MeC35tcZ+ppj6jOwruKPsXNlAqKJeu7I5zPLGEHcsr2dzp7cBDagSv3TH4khkXgm6aVMyvP9s++LvZ1vMX7XnsSp6H7IoMpwpYzsuH7iti2RB58hIDs20efKI5y8/he24l/xsp9jeW0dd0Gu9b4/72fg6G3O4HliOQ3Hqs658FiXDRrPs6j3qUqSK569n5zKu78uhqFtVi7spXNflm3uH+MnRcX54aIwnj45VH7t7ZWO1VXdNa4TbeuvoafCSSEFVuqhryn2rm6vn8Nau+Jxt90vMjeO4fPWVAQB+8RrOr3/wTm/9/eGhURK5a3dPn2/s6kuRKhqcSRT42amJWY+XDZsfHhplsmAwmvWKPFfLnSsaqs4rvY1BVtcQFN3YHqM97l0HdUGlpi7U5s44t1fEXn2KWPNzF0WBB9Y2IwoCggD3rW665nZuM7nc/VrZsKsdOLV4dSDNyfE8fZNF9g1kyJSMOZ87k7BPxqkkMBquU0LzZtGfLNE3WWI0q3FsND+rILWQWdMSqWrARPzyFemhTXFD1WKmhItmkkwmCYUuf/bt137t13j44YcRBIHPf/7zfOQjH+HZZ5/lk5/8JHfccQc/+tGP2L17N+985zvp6+tDUW783PT9a5q5c0UDsihWxWsEQeCRTW08uLYZVRIRRQHNtKtfXy0DyRLfPTiCYTn0NATJlAxOJQpIoifWJUsimVLFSi6RrwbshuXQN1lkfXuUiF+utvpe2Op054oGtvfUIQpctvCC67qM53R8skjdIltQptBMF0kUEPAE9qxrtK44jst/7BvmyEiWqF/h/bd1X7PK8Gffs4VkQSeoyjUz7wsFvyLxi7f3oJk2Plmsriklw8ZxXeIB1buZhVViAbVqUwXe+zue1/DLUvXcPDtZrCrXlwyL//XcGdpiAVqift61vWOWMI5m2vz73qGqnsW7t3de1px1c8TPR+5ejmE7F7R1C/z+o+vJlgxCqox8nTcc85GWaIDOlhAC3ubsYmzvqSeR09FMmzMTRWIBmY54AMt2uH91EweGckwWdFRJoC3qx7Ac+lMl6kIq6aLBv+8dIq9ZtMX8PL6t86IbvKhf4Zd39qJbzhW14S8xNwFF5taeOhzXS4A6rsvyxhCSKFz2/WVtW6TqJBELKLS9hvUxXTT48dExRtJlfIrEo5vaqnP4ed1iJHM+kDs5XuAtG72vW2N+PnqPdy3nNYt/eqmfom7TGvPz7m2dqBc5X7obgvyn+1ZgOc68cIBZiLzcl2QgVSLik3nsGo4hbuyIVe3mvvrKIP/nQ6uu2WvPV6bGLi9Et+yqhSJA0bh6i8f6kMqv3r3souuoKou8b0f3rHv6TH77TWvIa16X3Vxr98aOWLVYdr01TBzH5TsHRuibLOJXJN55S0fN/dqLZyZ5+lgCWRR4bEt7zc4R8YK/+UrlGNpjAWRdRBQEuurmHptdiAymSziOJ9LtxSwlVjQvDmcZWRJ51/bO6nmfz+ev/DWuw3HN4vHHHwe8IPbDH/4wPt/5thzbtjl48CA7d+68rNfy+/088sgj1e/vuOMOPvvZzwLwxBNPVKvyO3bsoL29neeee46HHnpo1uvouo6u69Xvc7nclf9hl2CuG/SFC9m12By+cHqyWkV4/uQEdUGVlU1hDg5lKZk26xtDbK2IQXjtiudPlMawp/z7gdu66U+WiAUVOmbMzl9JJtN1vUXt7EQRQYAH1jSzpSv+mv/G+caG9ig/PjKGZTtIosDaS1hcXS4nxvN8/+AoRcNrLw6oEr9+34pr8trAJdvKFxIzr51t3XUkcjrLm0IkCwrdDUHesK6ZYKUl7cIbriDAG9a2sKkzRmP4fKJpJFOuKmGP5zSOjORmidwdGcmRyHlrR65s8mp/6pLCkVOIooBfnH3Nxxah4urlsqolzGDB+3p7z8Uz0WtaI4gifP2VQZojPk6OF1jTEqGjLoBhOxWHD5l0yWQkW2ZZY7hamXjlXKqaqPSy+rlLrk2CICwF8NeQ7b11PHdiAlEQWNUcRJZETo17H/6tl2mNuq27jqawj7xmsawxdNWfz/7BDN87MMKh4Sx1QZXVLWF+dnqyGsQHFYmQT6Koe0FOQ3j6NTp1LT91bLz6nPGczukJLzF+MSRRQKqxDixxefzbniEA3ra1/ZonpD90Zw+v9qf51139fOyBFYtSzLI+rFByvQ7LrTXWwFhAYVVL+IJr87WNFlzuOno5z7kcMeMb9ZmdnSzSN+nNNGumzYtnZmthlAyLr+waqLo/Zcsmn6mhe3Nrbx2yKGA5Li1R3xUVwBqjKq4mISDQvECcki4X03bI6xa4Lnal02mx8Vr2GDckiI/FvADSdV0ikQiBwPkgUVVV7rjjDj760Y9e1Wv/9V//NW9/+9tJJpOYpklr63nroN7eXgYGBmr+3Kc//Wk+9alPXdXvvBwKusWx0RwBRWJ9W/SKKu2j2TIDyRKtMT8TeZ1Dw1k2tEe5bVntlvsL1ytBELwNUkuEpoiPVS0R3r2tA38lMGmL+cmVTdIlg/tWN5KpBCGrmyNolk3/YJEfHhrFcVzuXtU0bTPiui6W4150gZwo6FWhBteFl88mF2UQv7EjRjygMJItU+/zcfvya6NOP5bVqllvx3UZSF07wbxdZ5N87+AoIVXiwzt7ab2I0OF8JlnQOTaZpCGs0hL1c2jY61pY1Rzml3f2eO3SuPgkieaon0zJ4IeHxxjOlDk9niOoykQDKrvPpdjUGWNlc4SAOs6Lp5MYtkNItakLKfhkCbnGdTvTFkp8jSrGmZLByfEC0YA8S/Dn9cAb17dQdFUKukWmZHJ8LMfyxvCcycNUwcCvSIR8MpbrMlnUCPtlXjqTZP9QBgGIV5KRb1jXTFd9kGOjOb6xZ5DRrEZTWGVFc2TJ3usmsK27js66AIeGs4RVmQ3tUbZ112HZDp11QSbyOmcnCjSEfaxsnluwri6o8vMzkxwcyvDo5rbqxj6vmfzw0BjpksH69ij3rGrCsh3PunDG5727L+W1wmomec2kLe6jVfDWxB8dHuVnpyYJ+yRWNUeIBpQ5R96kGde/LC2dV9eTnGZW27vfe4EF6bXi4Y1t/En4GIm8zpNHxnl087Wbi54vvGtbF2VUYkGFaI2gWBAEHlzTjCwKBBSppgo8eN2c3z0wTNmwecumVhrDtQPInx5P0J8scufyBtZeRPPkUuQ0k+OjeUI+b199IxwEDMuZ8140c02pdU8p6TaT+fMFw7n0k7Z317O7L0XRsHmgvbmmrWbZsPnBoVHGchprWiKsiXjdEgFZIpHTkESBiG9xia+GFBnXdTEth7BfuaIRxoVCQbMIqvPUYg7gH//xHwEvqP4v/+W/XFHr/MX40z/9U06fPs3TTz9NuXxlwmK/93u/x2//9m9Xv8/lcnR1XZsbgm7ZfH33ILnKrN5YVuOh9Zeu1BV1i/5UkScPj+MCQ+kSpxMF/IrEj4+M8YkHV9X0qXxgTTPfOTBCybB56+Y2Jgs6o1mNLV1xHtsy3RbpJ0fHiQYUogGFJ48m6G0oosoiX355gK66APsGMmiWjSQIPHtygt96wyqWNYfRTYfvHfR+x4b2KG9c31JzAfUrEqIgYNkOJ8bzWI6LKos8fksnseDcGVTXdUkVz2/O5zv/tmeQgbR3ziUKOv/rudO8cf3le0/PxcrmMM0RHxN5HZ8iviZF1AuZzOt84dkz5DUTURDI6xb/852brslr32j+fe8Qki+EZlocHs5hWA6ZskFbLMC9q5v4hdu7p90Anz0xwVhWYzhd4qUzKfyqRNSvUFfZnP3DC3388NAYkwUdURDobggykCrx5g2trK+x4djYHqU/6WXgW6J+blt2+VWKsmFTNCzqgyqiKFDQLb62e5BypaUxXTRfsz7GQkMQBCI+mW/vH6GgmRwfy1MXVNjSXce7tnVM+yzTRYPvHRxh/2CGoCqTLxskCga7z6ZwgLZoAEUW8SkiHXUBnj6W4PmTE7zan2Y8pzGcKZPI60iSOKuyOoVu2eQ1i3hAWfKHvw7sH8hwpKLkfmAww2hO4+hIDkmE7voAzZEAZdPmTetb2VHj2rIdl//x/aPVCtir/Wn+9PFNKJLIz05NVjfJe86lSRcNzk4WkUWBN29oZdUF87gBVWIoU8Z2vaT7YKrMr92zgmOjWf7lpf7qZjGoyrz7IsHizpWNjOU0xrIaGztirLzBDi6vN757YATdcljTEqnqiVxLVFnkF27r4nM/Pc0/v3RuUQbxqizSGJ1b/dyyHb6xd4hkxZ2jaNg8UkPk7S+ePM7+wSwAPz+T5K/eu6VaMJriG3sG+bdXvc6Jp4+N86m3b7wqRwnN9Kxlp7qpJvJ6VW/qelAyLJ7YM8hwukxPQ4h3b++cVTHtbQiyoT3Kq/1pGkJqTXebSEBmZUuYE6N5RFGYU4TxW/uHOJf0hKW/f3CUHT31s/bMTx0b4zsHRtBMmwODGd6/wfsMnzmRQBM8dfrvHRrl//fYhmvzJswDjo5mKRs2Lt4+NlXUL/kzCwXDcvij7xzm0HCWprCP337gymPQGxot/eEf/uE1e63PfvazfPOb3+Spp54iGAwSDAaRZZmxsbFqNf7cuXN0d9cWPfH5fNPa+q8l6aJJpmiQ1UwUUeRcslh9TLdshtNlIn6FiF9mJFNGM23GczoHhjIMpkpkyyZtUT8DyRJlw8avSLiuZ9XREvPTEvVPs2Bqjvr5yD3Lp2kOTH3tui6DqRITeZ14UKFcFdZwSRc9/2PbcRnJlGmJ+jAsh5FMmbBPxnZc/uKpk6xpiTBR0FneGEYSBY6M5FjXFq1pgRH1K7xpQwv/sXcI23FZ2RQiUzLZ1ZfkTRtqB7mu6/Ldg6OcSRSQRIG3bGytKX4yn5iytpni4OC1Gcfoqg/ywTt7OTycJR5UePMc79mVMp7XGEwVSRWNSivnwqgWHRhMk9esaV0opuViyw7HxvIMZUq4DozlNIbSZQZTJWJ+ma76EKIIty1rQLe8c34wVUKVRSRBwHKcqsjc4eEshu1g2i6y6AnD3Le6mbdvrW3BJ0sib9/aMafGRy2KusX+wQwvn0kiigLtcT/v2tbJWFYjr5nkNQtVEtl1NontuGxoj1AXun6jD6miQaZk0B4PzIt28bGsVl0HC7qFIHg37L39Ge5e1UiyoHN0NMdzJyf46fEEBc3CclzqQyqyKGDYLo7rtTjfsdybm0/kdARBoD9ZYjKvUzJs/LJE2C/TXR/kxFiekmEjiwKOC511AXJlk//9cj+pgkFnfYAHVjcznC2zvi266NoUbzTjOY2SYbNvIE3JsIkFFA4MZulLFigbNpmyyanxAssaQwiCwEhGoz6sVjf8Q2lvgxvxyQymS+iWjet6/54pmTRFfNVrHbwN0u5zaepDKqbt8vTxxLQg/s0bWnj2RIKWqJ9tcT9NET+RgMLBoey0as9o9uIFAkHwWmTLhsVotkxet6oaGeNZjWNjORrDKkFVnvN68+7TZQSBK7KWej3yRKWV/j23dl63Suwv3N7D3zx7hlf6UhwbzV3UMWMxktMsEtkyJ8YLqLI4ZyX6+Fih+nWqaDCQLs/au00prluOi+OKHBzM1gziEzmNo6M5VjSG6WqYfQ1M5HWSBYPRbLli61uENVf/Nx4fzTGe09jeU0/YPzsUeuGUN8duWJ5DRUfczwMzxuZsxyVTMvErIqbjUtStWU4ZPllifXuUoVQJURTZVhG9nsmRkRzliq7PcLrEWK48K4g/PJyriuNlyyZnEl5sUTYc3MqvTRUvXxBvIVA2neo9WpYEzkwULv1DC4Rv7Rvi+4dGKRs2Z6QCf8uVJyhueMnzG9/4Bk888QQDAwMYxvSTbe/evZf1Gn/5l3/JV7/6VZ566ini8Xj139/znvfwd3/3d/zRH/0Ru3fvZnh4mPvuu+9aHv5lEfbJnJ4oVC+maMB7m6cq9MmC4Yk02A6pglHdnMQCMg1hHyfG8kwW9Gp1DsCwbAZSRb6zf4SAKvG+W7tmzcxceEOb+vrHR8b56fFx+pMlmiI+ljWGKu2/Xst9oLKhqAupKJJIZ32AY2M5cmUTx/UWBMdxmSjoGKbDhsuwclnXFsXe2sFPjo5fcPwOBwYz+BWJ1S3hacc6mtU4k/AuTNtxeflsct4H8TOtIJxraOxx27L6K6ruXg4BydsU65aDKMBwZn772oNXIZ9KlvQ2jvKft8cB0CybU4MZLytbMNAtG8MGyXFJFg0+/8xpWmNeW+zty+p557ZOvn9wBJ8sEfErNIZVBEGgt8HbSAR9EtmSgWHZGAg0hNXLev8vdwOZLZt87ZUBdvclKRq2106Y8ebp6gIqx0fzFHSLZFHHdeCls0maIz5+9y1rr8uG/uxEge8eGMVxXSJ+Tw/jZne/NEV800YXpo7HxeXsRIE//u5RJgo6A8kSpu3guF7QXtQsDMdBwJuD9OblBDZ1xhiv6BaEfTKKIlLMWWimTVCVsG2HF05Pki9bDGdKbOyI0V0fAlx2nU3huC77hzJ8a98wYZ9M0CfzJ2/bWHNzucSl2TuQ5rkTEwymSpwYzxNSJWIBhYm8zlhWI6dZyKJ3TQ2ly3TWBQioEi+fTbKiKVztpgAqKvBUZ0wbwz7ClYTcrT31jGQ0DMuhLe5jMn/+nJppSNAU8fOGdS2MZc+L5AUVic1dMWIBhWzZ61qqNSp1YQLvm3uHeOlMEoDhjNfmeu/qJvomi/zxd4+SKhlkSiY7V9SzsjlS83r78ZGxqm3exo4Yb7yMzr3XIyfG8hwYzCCLAu+8pXaS9VrQGvPz5g0t/ODQGP/yUj+ffnxhdq1dLQFZ4LuHRklVKvHJgsHHH1g563mddQFOV/ZuIZ9UU2Qy6perQpSyJNJZN/s5g8kSf/Cdw5QMG0US+K03rpnVwh9URZ47mai6USivYWzlOweG+cquAVwXmiJDfObxzbMC+TMTBQzLwXVddMvh7GSRmR5a55LFSuePgGE5vNKXmnXPLugWI2mN1lgAURA4Ppqv2bXplyUSee99qg+pxGuI5a5oCnN4OIvleLPhHZX30nbPW40Zl3B4WWh01gUYz2me2J8gsHP53M4fC41nTybIlr3OEsN22dU3D33iL+Rzn/scv//7v8+HP/xhvv3tb/Mrv/IrnDlzht27d/Pxj3/8sl5jaGiI3/md32H58uVVWzqfz8euXbv4sz/7Mz74wQ+yatUqVFXly1/+8lUp0+uWjWm706rdV0LRsOisCyCLAook4lck8prJYLpUbU9KFQ0SeY2SbjOe10gXTQTB28wGVInmsI+GsI9oQEESBRzHxVcJuMuGzdHRHJs6Y4RVec55e8NyODaaYzRTJq+ZZMsmTWEfmztj+BSJ7d11HB/PYzsO793RxcnxPMubQhwcylDQbcqGXa3cxwMquYqF3fr2KJ1zKGCOZMqcShSI+RW667225KhfZrjy795z4qxti3ByvEBdUKF9xsLvWwAK3TPnHuf7GOSpiSJ2xZrDcSFfvnq12RvFC6cncFzP5/XcZJFzKe9aXt0cJmWUifpl8ppJ2bAR8P6usmHjug4hn0xAldnVl+Q37l/J9p464gGVl/uSjGc11rdHeMM6rxVvXVuE/mSJQtmkoz7Au7Z1XdPg+ehIlh8cGmUwXUYAQqrEho44Plkkp5t0NwQZSZcZy5argUEir7NvIH1Zx6FbNoblXJbgD8Ch4WzVczevWfRNFq+Jz/JrIR5Ueee2Dg4OZdk/mMEvizRGvLXqT757lEPDWVRJwKioJouigCR6avY+QSTiU+htDPHIpjbWtUU4M1FkOKMhVSqbpuMguC6jWW8zkCgYrGwOc3q8gGl7ozw+WSJXNrEdB9t1SeQ0TNslq1j4FZGnjo/zK3ctTGtGy3YomfZF7xfXk4ODGcBTGjZtBwQJw3FoifrpSxY9tXpHoDGkYFY6LDri/qo47IHKz5u2w+lEgY1tEW9tANa3RigaNgFVpqs+yFs3tfH9Q6MUdZtljWH6U0UkQahe7xfy9q3t7D6XxnYctvfUI4oCbbEAv/fIWvb2Z2iL+bjjgk2j67r8+Mg4J8by1IU8X/H+yfMJ0WRR59sHRjgwlGUir1M2bYq6he049E0UaYkG6Jss0tsYQhY9sS/NtKsBPMCRkSwPrGm6JqMcmulZ+d3sJN214ok9gwC8YV3zdRdp/dCdvfzg0Bjf2jfMJx9ee1kOJAsF13XJaSYBRaqpcXRivIBuOiiyiACMzmG397tvXsNXXxmkZFi8/ZaOmveglc0hVjeHyZa9e12gxqz3MycTVZV803Z5+tj4rCC+b7KET5bwSTaSJDCRv/qK8zPHEuTKJqbtYFgOr/anuG9Ga/7KpjBP7BkkV7aIBxVW19DoUKXpXTW13FUkYPe5FMNpr9NmLk2AzvoAY7kgpu14tmM1igRv3tDKi2cmGUqXWdsaYX3btRlNns88sqmVRF4jr1lsaIvSGF084swTM66rknnl+/IburJ/4Qtf4Itf/CIf+MAH+Kd/+id+93d/l+XLl/MHf/AHNf3ja9HZ2Tmnx29LSwtPPvnkazrGMxMFXjg3juW4bGiPztkCfjGCqlfx82Y5vTa5L/2sD8Ny0EybaEDBV2lRmsx7FXfDdrAdl2RBpyXqZ13Fk3jnigZuX97AK30pfn56EvAClWeOJ3ilL0VrzM/j22bbYIGnPBpQJXJlq1pVePFMEkkSCKleK/8v7+ytLuId8QAlw+I/9g1TKJuMZstolhdQbO6IsWNZPe/b0T1na1WyoPPvrw5VrUnuWtnIY1vaSRd1vvLKYPV5B4Yy1WwieDZ2965uYs+5FEGfzBvWzf8qhHdrWzgEVYkL9UAWgjiIgMBIZb41GlCIB7zOk+VNYRK6REEzOTKSI+wTKRgOtlMJ6mSR0axGUJWoC6q81Jdk70CGbNmkP1nEdb22tP/9cj8furMXx/HeD1WRsBx3mlr9tWBvf4bJgo5PFigbNmM5nV++q46ehhDjWY3RrEambGLaLqrsnVeyKBC/DMX6sxMFfnBoFNN2WdcW5S0bL71ezRQyqiVsdDPorAvSWRfkkU1tVTGh7x8c5cxEsTLuAAFFxHJcXAQc16VsWoR9KnUhhbqgQrKg8T++N4RhOzRFfNy/uol0yeTwcJbRjCf8Y9kuuF67vk8WKVfsXURBYF1bhBfPTFIybHTLqYiGumjmxT1+5zOTBZ1v7h2iqNu0x/2885aLW+tdDyJ+r+qeKhpopk3EJ+OXJWzHpS0WQBG9VvuCYdEQVkkWDAQBHlzbXPl5mWNjec5NFpFEgTUtEW6vjNgoklBVLH72eILP/fQUo1mNaGVs4r8/tp6OeLDmCFFQlblv9ew51mWNYZY1zt60n5kocGzUG51KFgxeOD3JurYoYzmNnGZS0FwaQiq24zKR1zBtp9phMqWifmQ4y0+OjiNNzek3hwmoUrXzLqTK1ySAPzyc5eljCRzX5bZl9dxVQ09nIWFYDv+xbxi4PoJ2M7l9WT1rWiKcGM/zjVeH+NW7F2YCrxbf2jdMyvSsZh+/pWPWqFBrzI9PPm+PHK3Rbg6eq8p/uv/i7jkCIqYDiixR0G0CNQLdpsj0wKyW13lDSGE8542fCYJAR93VJ9onizqD6TK4Lqps1lQ8n9LICSjebm+yRpt6d0OQHb31HBnJEgso3FtjLckbFmXDQhS9Pc1c/u899SEM08F0HOqCas1j+vHRMUYyXjJg/2CWbY2LxzN9LibyBo1hP41h0G13VkfVQqY9HoT+bPX74FVYjt7QIH5gYKBqJRcIBKqeeB/84Ae54447+PznP38jD6cmL5+ZxBK8Be3ISI6t3XGaI1c2CxnxKzyyqY0951KUTBvd9C40VRYRBG+BXN0SoT6k8J39I+Q1i7JhE/bJxAIymmnz7PEEiiwgitBZH2R7Tx1F3WI0qzGR16qVtLGsxvHR/CwF+IJu8fSxcXKaAYIXBDWEVIq6XU2C5DWLXNmcltEOqjKfeHAVf/HkCRBEuuuDWLZLNKDw1s3tF938jeW0ad6iz51McHI8XxGIqmyeAVkUvWpMheF0mXdt75xTAXU+MjNJKgrzu3tArWTcNctrPa41AzbfWNMa8aqhjsualghSZWO7vj2KLQc4OJRhZUuYRFZhNFvGxSUWUMlrJrbjVelWtYQ5NOwtksmiXpmL9zxmXzg1ydu2tCOJAj5JpGhbRHwyZfPKb4yaYfH5Z84wkCqxoT3KR+9Zhih6x9sYUYn6PT0KSRSoD6lopoNpO5RNm7qggmk5rG2LYlaCzzuWNVyWwN0LpyerHvfHRnPc0h2n5RKz2ztXNqBbDqmiwZrWCN3zsEV8ap0ZzpTorg+QLhnkNa/D6dFNbfz4yBgDqRKC8P+x999hkt13nS/+OrFy6uqce3IOGuWRHCTZcpRxwl4DNvGBC+zdBAsb8N1lFy4/2GWB9d1dDIYLLNGyccRBtnLyaGY0o8mpc67qyuHk8/vjW10z3V2jMJqoy/t5Ro+6p6b6dJ1zvuf7+XzeQUJVIFuxKBkOL47mUGSJjoY55FNnM/iIta5uO4BEJKDg+OLzVxWJvmSQbb0J9g4mmcjW2NQdo2q61AybkungetAZ1y+bDnKz46WxXDMCbbZgcHahfN2ZF+/e3sWXDtn0JkO4DSroxs4onfEgT5xexPd9rKJBQJVJhnSSYY09A6mmvrQvGeSLh6ZRJBGJpasyvckgvg93rUsT1lVKhs2LY0tkKyYVw6ZqOliuz2zBaEglBEqGzVSuRns0QFtE54nTiyyWTTZ0Rrl7XRrf93nhwhKj2Srd8SBbe2I8d2EJ3xcNh0vh+j7v3dlNQJOpWy5T+Rpq477f2BVjY3eMiUwVHxEhNdgW4UiDVeB6Ps+cy7C5O8aH9vTyzLksErQsBK4ET53NNPcJB8Zy7B5IXjG78GbA46cXyFUtOmKBlo2Xqw1Jkvj0vUP8u78/zp89P85n7hl6yxhdzhYMgpEodcvlxbEcj+zuXfH33YkQ//yhTfzFixMEVJlffnjLFf8sX/JJhMTzry2iYzprq7D37uhhOl/jxEyZwbYQP3LXWi+rkuEQCSiN5qrUMjnm9SKkysiA44vGsOGsfeZnqqb4OYpoZmRKrfXKs8U6J+dKtEcDOC1+t6AqEw9q+IgivhVNHqA3FeLxMwvYjk93IkikBWPh5GyJfE0wCEKawpn5t44+/HLoiAVJR3RMx6Mz9taZwoOQHn/96BzLV19/W5hDb/A9ruuK3t3dTS6XY2hoiMHBQV588UV2797N2NjYZafr1xuKIsMl9/PyA/mNYkNnlA2dURZKBr/y6CuMZasENJkP7urln9w5iOv5OJ7Htt4En3v8HM+cy2JYLnXLI6Qr5BvduhcuLOH58LNvW0ehblGoWxi2h6ZIzUKyVaTNV16e4etHZ5gtGDieh6aIhSQWVJvGOssu9atx+3AbH9zdy1ePzDa/lwhrTTpZpmzyP586z+hilY1dUfYOpJjI1VBkQdtUFZlc1aJuu6iyTKZssr4zgiYL1+gt3XG+fHi6WXxcjpr/RlE1HY7PFNFVmV1XydX9clj9/PC5uTuiAUWYuQH4cInB4c2LzliABxqsDEm6GN8iSRIhXcb1fTRZZntfnKAuWC2OJ/RrtuMh4TOerbJvqI3HTy0yna9hOoLxYtrCGV6RJTJlk5rtNs20vnVsDiRY1x7l3du6Xhf9+K8OTPHSuGATLZQMBlJh3tdwNX7fzh5euJDjQqbcoPhGOD5TJKIrDLSFMW3B0HF9sdnZ1Blj72DydWXdvp6Im9UIqMrrmtjfDOhPhSkbDqoi4wM/fd8IsiTxpcPTVE0H0/EoKhKdsQC6IlOsW5iOWB+TYR3HE1T5mumKBiaCYnx2vsy969N0JURxl6taPH56kbrlMpIWxmoV0+b8oqDbD6TCbO2+yX06LoPV18S1jkDLlAz+/niOuu1y50gbtw2miAU1PnnnIJbrNRsK23rjPLilkw0dUf7qByIKtmw4LJYNTMfliwen+OLBKeIhHdMRRniu51M0bCqmQzSoko4ECKgyf/fSFLPFOjP5VSZ0vs/TZxc5PJlnQ0eUO0ba+NtGGoQkQU8i1GT7ZMom7VFxzSxrE+eLdR47uUC+ZlExHdqjOveub28yfe5e10YsqDVNMM8tlPmDx8+xVLHY2hPjX79nywqWXLFuc3S60JwmLRciPYnQVZ8ua4pEI60UWZLWROHdalg2tPvobf3XrZj+8N4+/ut3zzKZq/GNV+b4oWuow79RuFwxvLErxsPbu9EUma4WWneAlyfz/OFTFzAdj0d29/Hh21p9PhKm42I22EytTp3riTXWdn26YsGWVHJNlWmLBGhrGL6+mnzMcYVL0eWeoa4vNQcZkiS1fF13LIhpe819U1dibQH58mSeLzWc9+eLBn/49AX+zfu2rnhNLKgRD6kcmykiSVLLxA0QRnubOmMNWaBHtmKuYUjYrsdMvobj+Q2Pn5uvAX+1EQ0oXMhUMWwX2/XeUgazM4XaCjet/BWYEl7XIv6BBx7ga1/7Gnv37uUnfuIn+Bf/4l/w6KOPcvDgQT7ykY9cz0O5LN6xqYOnx8UFc+dIeo3T5BvFUsVkvmQ0CgePs4tlpnI1vv7KLKbtsXsgwb9+eAttkVFensyTqZh4DVr9sha+aji8OLrEeEN7V7dcTFnoSEfaI0R1lfGlCv3JcPPhdnA8x3S+Tt0SF346GiCgyWzuirFvMEVAU9jZn7jsIre5O0ZQkzEdoRkazVT5w6dHeWRPL988OsuJGUEpfGksx5n5MnsHxRS9Mx4QdOeSyWTuoiu/Ksu895KIko/tG+DcYplUWGd775t3fnVcjy8enCJfE6Ync0WDXddwsF+1VhbtLRq5NxUuLFbxLjlG8wqmzdcbD23r4lvH5jEdl3vWtxNXxPWUq5g8fVaYXA23RzAdl8G2CI7nU67bmLaL44HjuUzmagRVmc64cK7OVkQ3XVNk2qM6saBGNKgS0hRMRxTS0/ka4YBK3SrSnwq9rqnlUtVq6Hp9NFkiU7nYtY8FNd63o5MvH3YwHFewUjyPkuEgyxKu7+N6PpP5GgFFplCzmcxV+fUP7XjNzeqDW7r45rE5aqbDHSNttF9jnej1xru3ddEZC2A6Hjv6Eoxlq/zvF8aZKdSp2YJVgu9jOj6+bxPUhGykWLO5bSjFxq4oT5/NYtgOsiQ1m0G263F4skAyrGM2GBKSJCb4GztFCkdAVdjRlxBSC0XmQqbKzmsQaXWtcc/6NNmKRbZisrEzyqbOa9uMePzsIhVXPDefPpthJB0hFdEJago/fPsAx2dKhHSFPQNJFFnitqEUz17IYnser0wVKBkOvi+mTroqEwmo1G2XZEjDcT0qhk1XPIjj+iyUDP7k2bGm5jscEBR6XZFJhnXiARXLEc/eZffnYs1qGkOdWygTCaiYjovn+Q1Gh43neYwt1VhsRMe1RXUCqsJCyWRdR5gP7O4lqMpr7s+K6aDLMqbtcm6hwvdPLjabeSDM8+7f2MELF7IEVOV1Rc9eKd69rZvvnJjH8XzetrGjSee/FbFQMnjyzCIgXOmvF8K6yk/dN8LvfOcMn3viPI/s7r0hnhJXG1t6YkxVhKFxK5lF1XSaUgxw+c7xeX6yhZzg80+PNvdcf3twkrvXtdGTXDmUkRBFunjOrR2AgLjXl30hJnM1Dozl1jBStvUkeGhbJ0+ezhAJqJeVNzx9NsN/e+wMng//xzvX857ta6Pxbh9JMZmrUrdc1nVEW054O+NB7l2fZrFs0B0P0h5dWzxmyiun8/kWVPnFssGpuTLhgIqEYM+1gmG7HJzI43q+SLFocb8K7xYZ2fXQVYmp3BuL1r4VcXgyj6pIhCSFsuFwZr50y7LiVmOxZK4o4ivGTa6J//znP4/XqCR+4Rd+gXQ6zfPPP88jjzzCz/7sz17PQ7ksuhMhfvr+q/dgXY7SWZ5iS0g8dTbTLKKOThVpC4tN6taeBNZUgfGlCkiCqidJErcNJZEaGuzRbIXFkklXPMCOvgSTuRp/fUC4bO4ZSOD5YiGZWBJTx+Voj2hAZTgdIayr7OhLvGo364kzizx5erERvySTiugMpyPMFmr8+tdP4DT0+4os4SEK6GWEdJX7N3aI/OsDk2KKJkvsXFUIdSeCdF+mu3slKNbt5sMEhGvorhYuqFcLnuet+vqa/airgoC2gmCyQs5ws6K/Mc02bZfBtjDzc6KIty9xXw1pCtGASjKkY9gOzy5WsT0axR1UTZdvvjKLh9CkhnUVVZHoigfZ1bgm+1Phphzl1HyJ84sVJEkiqMnc08KZuhXuHE7xzVdmBc1NV7hr3cVu+4sXlvjCcxOYjsd4tsLEUo2BtjAPb+/GcjyG0xEGUyGm83WWrRYuZKrUbZfYaxTx3YngFWk1sxWTQs2mLxm66Tb3JcPmKy/PUDNdHt7Rxe3DFz/LiaUq2aoJfvOjQpFl+hM6M0ULx/cIajLxkMaFxQqTSzVRlCGc7n0f8MS6LEsSlutRqjuAT1BTmCsa3LshzY/dPcz3Ty3wynSRZQWR5bZmrxRrNpmKQVc8+LrNBa8nYkGNT7Wgp14r2I7XPDm+f3GtGc9W+fbxeUK6wg/t7UORJeaLBl9+eZr5goiIbI8FCGgKluNiNqZpiixYFLoiE9ZV3r2tmyfOZshWLPpTIWzXJ6j5TOSqGJbHB3b1oioyR6YKLFVMSobdLPIXKyYvTxbwEQ7QD2/v4gdjOUYzwitjrmjQlwxxcq7UZJK1RXSKNZvOuEJ7NIAsyZelpZ9frHBkutD0T/jqkRke2Nq5IlZu70CSdERHliT634Su97Uw3B7hZ9/+6nrlWwWPHprG8+H2odQVZYy/GXz6niH+8KkLnF+s8J0T8yuGEbcq6pbLdN7Ecb2WDA3H9ZtSDADrMvuFSyMdfZ+WviGKLK1gRrZyT1+9tlqXmYo8sKWLVDhARFdY17HW1M3zfP7V3x1p6s7/7ZeO8Y6NHWuy60OqIib6EcFYaeUL05cKMVcyqFsucyWTvuRaxuhdI2186fA0cwUDTZF5qIWfk+16GI7XZP9ol5GkSgjvIsf1CWlKy89AVyRcX7AHvIYU4K2OiuGQq1rYrkcypDUNEN8KCGorr8sraRBetyLecRx+8zd/k5/8yZ+kv190Uj/5yU/yyU9+8nodwg3Bnv4km7tjnJkvo8oSH7mtrxFJcRHZqonvLy9cPh3RAHcMt5GtmGzujvPQ1i6qpsjXPTlbwnY9CnWLqVydmiVohaos8w/H5okFVSIBlcWyQXtEw3I1fN9DkiTGs1V6N4TWmIhcirrlcmAsx9mFMrIkaFCRgIKPz3Pnl/DxieoqNculPRagPxVie28cy/HRVRlNlvnCs2Okwhof3ttHyXA4t1DmuycXSDVyz6+FU24sqBENqFQaDvq9iRBcxdi31VAV4GLP4Ka3uasYKx8It8Iw4fkLWX4wKmitfakQdzfMYzvjATZ2RTm3UEGRJd65uYNnzy9xdKqI4Yjz7zf+qLLETMHAcj0RNaaIaaskQVtjar1vKMWLF5bI1SySIY2JbI267ZIIqviv8xpyPJ93bu4gV7XojAdXdFTPL5bFPVuzGikGEv2pEPNFg+29CQbbwkwsVWmL6s3raCB17fLbzy9W+OYrN1fE3KX43PfPcXRa+BgcnS7wXz62m5Cu8PjpRQ5N5KmZgs1w6d6zLx2lNyU+62Ldxms0QIt1UcC3hTVqpoPjgayIjWVIUwgHVCqGMBU0HaEzXNY17h1McSFToWoKLee2nrVT+LlinS8dEtKggCbzyTsG3zR761bHXSNpnpsUsambu2N0xALUTIf/37dPN2NXp3I1/v0HtnF4Mo9pewy0hZkp1CjWbDzPx3J8JEnIZeIhjZ5EiL5kkJCuMr5UxfV8SnWbuu3yC+9cz6OHZlgsmUQCqnBu7omRjugEVZlT8yUCqsym7jg106EvFeL0fIlizeKlcZ2ZfJ2OWADb8VgoGfSlQgymw+SrlvDIcDyWKiYbO2MMpcNsazDHzi6UqZoOm7pizfsnFlSb0kBFklAViVLdXnEv/8PxOc4tCC3rrv7ELWHkeiPhen5TbvGJO669od1qxIIaP75/hD/4/jl+97GzvGtb1y2vjX/00DRaKMLEUg1ZlvjnD21a8feJsMau/gSvTBeRJYn961ubIn5oTx9/c2AKz/fZN5RipEWD5Y7hNqbzdQzbpSseZGMLJtC2ngQnZkssVSwiAYXbWvgjFes233xlrmnKa7leU8ayjLrpkK/ZTRPfkuEwk6+xvmsl21NXFXb1J5qpLkXDpn3VvniuYNAW1pm167RFNGaLdYbbVzYOAppCW0RntlAnqMlr3gOgPRqkLawxa4sUnb7kZYZLkoTvg+t5COvWtVjfEeF7pxexHSFbHb4J/WyuNjxfMEN836coQTJ88zXKrxSrYxKvRPF03XZuqqry27/923z605++Xj/yhiJXtTg2UySoyvzs20Z45pzIfr5/YwfzJYOvH53FsF32DCTZ0Zfg2XMZDo7nsV0PCeEi7yM6bl95eZaP397Puo4oybBGsWazWDLRFQtVkbFcD12RqdsOtuuyVDHRFJl1HTEG2sJM5Wv0J0NIkiRoUqcX0RSZPf1JEqtuiNFshfFslarpEtKFAZjpePxgLEfJsOlJhAjrCumIxr969xb6UyESYZ1C3SZTNviHYyLXu1S3OTiRZ3NXjBOzJfI1i1embHJVi5++fx3Fuk1Ala9aoaKrMh/b18+RqQK6KnP7cIrM/NxVee9WcDyJFU2Cm7wo3tq78sGp3wKbkOMzF107Z/J18tGLGrb37+yhsN4moMnYrk/HQpmSYTe0nz7LzX5JFo0orWGENZUTxUV3Ith8GDx7NsNkrkbVcqhZLkFNJhJQUGWpGQn5WvB9mMjVqZoOhr1yujHSESFbMakaDiXTBcnilekiO/oEnXhjZ5TzixX2rxemWvMlkx19CcqGc00KwhOzN1/E3KVYzh0GsY6OLlWoGA5HpwtUTYeAKtMZCxIPulQth6CqcG6+THssIBz/ywYV02GpIWmoWi6GLQzqfMSUqWY6RAIqYURMUNWycTyxyVrXEaZYs0mENH783hHKhvj/Vhv3U3OlJjPEtD3OzJdflyHhWxkbu2JsHerCtD1Sjet3uiCo6bIsIUtSM240qAmT06mciF/1AdPxkCQYaY+wvjPKvsEUJ+eKTCzVMByPzmiArd2xpjfM1u4Ed43UWKqYDfNXISPLVkxSEZ09A0luH0rxtk2d/M1Lk0JPHxBO14cn8ri+x2yhjuf51B3BpNnWkyCkyrwwmsPzfW4bTPHpe4fIlE0OjOWoGA4n50r4wOHJAj9y1yBBTWFrT5xtvQlmC3VUWWZDZ5R4SOPgeI6K6bC+I9os4EGkZLxzc+dbgqJ9rfDU2UVmCnUSIY0PrjJgu174qftG+IsXxjm3WOFvD07xI3cN3ZDjuBbIllsbtj24tYt9QylU5fLMkwe3dDGxVKVYd/gnd7Rm+3QngvzE/uEmK7WVb0tIV9AVmbMLJXb0Jlo+98qGzdmFMkemCoQ0mY+20N/rmowqg7nsBSHTMopwKB3m0ITw7YgFNbpbMFMvLFY4MJbDx2c6V+e2wTbuXUVsOdBg8YR1Fcfz+fLhGW4bXNmAsFyPu0bSvDJTRJFh92X8mgo1m3OLZRzXbxi2rn3ejGaFPFCRJDRZYnSp1uKd3lrQFImuWADDcUmFtNe9J7sVsNqbSrqCweN1Hb88+OCDPPXUUwwPD1/PH3vdYdjClKdmifzm2WKd4XSE0WyVhZLJx27v52fftg7X81EVmfmigWGLbOKApuA2XKs1WeLEbAlZkvjg7l4kCbZ2x3nizCI1y8HXFKqWSyyoojTc0TMVCwkxgXz39i76U2FeGs9hNOj7Z+ZL1BpO+OcWynz6nuGmE/TZhTLfPbFAW1jn/GIFXZORfDBsm1JNaI1zVRPDUghoCn93aIqueJD37+plpD3CwqrMw+Wc+WLd5sy80DsZYyK3tma5aIrE+3b2sO4q0eNSEZ13blmbBXwt4Kyil7VgiN1UGMtUV3xt3gJ0+nhQa5pgaYpEOHDxoSZJEsmwxndOzPPChSWeO59FRnRtl7vwsgRVw8FquNkulAw8Txh7LZRN3rND0CK/fWKB0/PC48G0PYY7IgRVmYCqNKnmhYY7enci2NJHwsdHlkQXXZZXLsUBVeG+De28NJGjbIpGwULZYKliMpWv8TvfPdOkznXGdEbao+RrNl88OMVn7h2+6hP51WaWN0vE3DLWdVxMFFBkiW8fn2ehaDKWrTQ3Npt7YmRKBkeni5QNh2zVZLpQJxnSCWgyIU1hulDHsl0Cmkyx7jTlJB6COWE7npAG+T6e5yPJEr7v8xcvTvLEmSyD6TCfunOw5SawYjrkKhaBVTnB8dDNw2i4kQjrKssJiZbj8fz5JQp1G8sR6QvL0+x4UOPgRK4Zg7ocq+R6YiN7eq5MrmpxYlZMzrvjQSaXaswVDTZ0RtkzmCIeUpkpGJxdqAA+E0tV9vQnKRg2CyWD3QMiYaZs2LxrWxcvjeWoqS6aIlMyBJ1q+WerikzFEI0iH795POczFb5zfL6ZXPH8+WyD6i/RlwyRKZsMtIUZSkf4lYe38PxolmRY6N+fO5/llekiluPx7PkMQVVtFjLRoPqPBfxr4C9fFFP4j+3rv2bspNdCIqTxzx7cyH/4+kn+22NneWR3700pnXm9iAYVTMTk7/6Nl3f6f62Y09/+zunm3u4/fuMEv/eJvS2Tb4Ka8qrn7huvzPC5J87j+z6vTBfxfPinD25c8ZpSzeLxUwvNBKQvvzzLz71j5Ws0VWG4PSIaZb6QyrU6T5NLNQ5P5rEcj2IjL3418nULVZGoWh5RXabYQu++epLayiQwrCnk61bznm/lhA9wfKZAxXDwEUylhWK9KcNdRtV0qFrCv8P1/FtCFvlmEdQV5ksikcu0Pda1r5VR3KrQV10vxhVIBa7rjuO9730vv/qrv8qxY8fYt28fkcjKk/HII49cz8O5ZijU7KZuo2675KoW0YDKhcUKZxfKuL5PZyzAsZkis4Ua69rFhD0Z1vE8n5wlCl3DcnE8n4PjOb57co7BdISD43lSYY2K6TQiK4SL9zs2d/HFg1OEGgtlSFMYz9bY0BnjzpE0XzsyI6b8Epi2S91ycVyPI5M5zixUcFyf85kKnu/TFtHZN5QiGdYwLJenzmWwXI9wQMVyfbpiCpIsc3ahQkBVeP5ClpH2COs6IrTHAmTLJpoisW8oRWc80Fy8ZEnQtI7PFFnXEcV2fZ67sHTVivjrCeMWk+VcOv2Bm9+ID0TszJNnFzFtjztH2lCN/Iq/ny3UeeZclguLFaqmg6LIBADXdZElGjpooSMTej2PZEjFdH1c12OuIWtxPcF+8fEJBRTaI4JZ4tkuhycK1CyX8WwNz/dpjwX4xO0Da6IWc1WLTFmYlFQMh6p1kU6fjmicmS8znavj+T5RTUwdcjWTcwsV6pZw7VVlifGlOus6BGuiZrnka9aaWKs3i/3r27EbEXObbsKIuR+9e4i/fHFCrBuSMMVsj+kcnrRJhjVCukIqpHN0sojtevi+YEJoso8sC11kzXIJqjK241Ix3DXKGlWRCAcUfIQOsWoKB3zH8zk2XWQsWyU5I1hP7VHRWNm/IY0kSSyWDL54aBrL8Qjpwiy0ZNgMpsNs63nzJp1vFUznaxRqNlVLUFz3r09zbrFCXzLMP3twI2PZKk+eySAhEdEVyqr4/CXJx3I9JpaquJ5HtmyI+9EXxnMhXcZ0XfJ1m5F0mBOzJRZKBp2xAI7nUTUdbN9nc2eU+ZJJvmby3UYu+/t29vCLD2zkH47N8cKFJeZLYi2IBVQcz8PzfIp1m9FshURIQ1pm1Piw2JhYji9VmczVSIQ1PM9nsWxydr7MQFtYGO9ZDnsHU2zoiCLLErMFwdA5OVfC9Xw2dUXZ2BkjGlRftYD6R4hr6PGGoV2r2LHriR+5e4g/f2GC0WyV3/veOX7tA9tu6PG8GfzHR7ZzNucx0BZiW++Vs7DGMxXyVQvXF2lLs8U6m4Jr6fKPnZjn7GKZh7Z2sbl77Rp5eKJA1bSpW8Kw7cRsac1rXprIIUliH7kslVoN0Zj1VxTuZdNZ04z46tGZZuN8PFvlufNZ3r9rJcsjpMsslAwc16diiOfFatw+3EZ/KszxmQKRgMpHWqQX1GyXvqTw7lDky0fMzRUNMZxDNDFr5tpNZiQg9g6+LAaAq5vIb0VkyiaKLOO5Hpoqc36x3FK2cSviVKMBtoyqfZNP4n/+538egN/93d9d83eSJOFexjjoVkMyLKLcyoZDWBdmOPNFAx/R0f3B6BLjS1XOLVaQEOYUW7vjbOmJM5Wrge+TrRhNWqHj+Xz+qVHuWd9ONKDSFhEZyKoiY9gumbLFgbElTNdtmmdYrsfYUoW/fcnixGwRVZIYSIfJlEyON5zlowGVhbLBVK5OrmpSNhw83yce0kmFRdSV7V2kBgtNsczW3gTnF8Vkt2I6TSZ5QFXYN5jiH47NoikKCyWDx08vokjQHtWbGcHT+RrZqkU8qHJ/rLXW6h9xdZG4iTTPrxeJsLZC8zY9fbGI932f751a5PxiRZi01R0sx8X3GwZ+l6yFjufj+0JjVm3ool3X5+lzGX7snmG29SY4syCixIKyRLZiMV2oEw8oWK7LYycXmmZK2bLJM+cyXMiIpsgDWzoZTkc4NJGnULNxPA+ZlbFeT5zJcnpe6OJdTxxPIqRx90iakXSE6XydqimkADv6Lm5wogGV1GtMQq4Euirz7u03Z8TcQsngG6/MEg6IaaXovgunb1WRsGwhFzo0voTjipxfEM1M0/UwbA9ZEps5y/WpWV5Lgprt+MwXTcK6gqaIiKFIQGSNlw2bmiW0lJO5GgFVrOHx4HZ2DSQ5NlNsbgDrlkc6qq9wIP9HwLHpIt87tQBAzXTQVFlQRGUZx3X58xfGmS8aFOsOjusxuVSjatlNlojn+eSqJoJtaIumnA9yQEZxPGzHZyZX47e+fZq7RtqaWvuQpmA7Hktls+mZkQprBFWVVETn4HiOgCbjuB79ySC267JYMrFdcb1YjsiXr1kuI+1h2sIakizREw+ybyjFXx6YxGn4H1RNh5CmENJk/uS5MQ5O5pvGVI7nsaUrxgf39DHQFubAeK7BvJOIBTU2d8e463WaZv5/GcumvfdtaL/hzX5NkfnsB7fx43/6En/63Bgf3N3LnoYh6q2GdDTIw1chFajckK+AaDq3cnn/42dG+X+fH8f3fb50aIbP/cjeNf4irueRr4nGt+FArrqW4n/XSDu+f1ZIwXyfVItiWOx9hSmfkOa4tErUtF2vkSgjMuODLQzijk0VsZcN/lx4Zbq45jWZsklvMkgy3IGuyswW6+xadU2ENYUTs2XOL5aFsd1lmDdisu43vHx8fGntk2s4HUGRMhiuTyQgM3STNeCvBSaWatQaQ5GlitUwon1rQF61O7nUTPL14rru7Fc7er9VkK2YKJJEKqKTaUyhP377ACdmigR1hcG2MP/vc+Mi9zEW4OlzGbIVE7exQHi+z/lMlQ1dMe7bkCZbEfSeU3MlkETUUd12WSgJB+QdfYnmRkGRJeq2R1c8yFyhjuP64IsiwvdpFjmpsM5swSBbMQlqMhJiejhXqFMxbOaLJtGgQkhVyJQNNFni9EKZ9e0R3rezh+MzRRJhje5ECE2WqCc9zi6UGctWCWoyf/LsKL3JEMemi6iK0Cn/8bOjbO6Koaky+aowGwlqMu3RANmKhWG7LY1A/hFXH+OFW1M7NbVUo2zZbOla2d1fZrj0JYPMFWrNAr7VEihLgCQTkIXsIaJKpKM6dctlIluhLayxoSOC5XoU6jY108F1PcqmeIB0xi7q5Tzf58BYrkkN/PbxeT52ez+OK6b8y9FVydDF4vvIVB5JEsWz7fj4HrxvZy8P7+jhufMZNEXQ72VJdOnfvrkDw3LZ3pd4TfpozXIYzVTpTYRoi976hmoXGrns0MgObgvx4oUlFkoG0YDKdE6YDprOxXMtIaYmmiITC6p4Poy065xfqNIwsl8BTRbroyqL4j0V0dnRGwMkLixWOJepiEgkTzjPB1SXimHzD8fn2DWQXGMC+HpMAYs1i6l8naF0a3rnWw1nFi5OGEK6giRJHBjPEVQVIrrC8xeW2N4b5/xihVzVomw6gETJcAhqCrIsoSCL6bhP42sYSoUI6MKvolCziUgSVdNlc1eMjqjOxFKNkC4i4wKqhISE43rMFOrEQqqQ1PiiyXNirkQkIIypgprYTmXKBqoso6kyHhL3buhgXUeEdEQnFdF45lwW0/EYSod5ebIg3JJtB8fzyFVMjuTq9CaDTOfrHJrIM9IR4W0bO5hpfN0eCzQbRm8EVdOhYjqkI/prmqoVazam69IRDVxkEtyCMGyXvz4wBcCP3n1jp/DLeMfmTj68t4+/f3mGX3n0Fb7+T+9bw8q6FeC4XnNNfTOmprGgSF5yPJ+umM5i2Vwz9X7qbKaZaOT7Pt87sbimiD+7UBFyOMR6vjq6DYT05F1bO3h+dImwrvGxfWun3oosEQkoZCti1Q/rKrq69hka0dXGcMpHlaWWmv+5koksiecyiBz41Vg2UgbAh0qL6Xm+ZlExbKIBFUmC+dLa9wFxvXv+sm+LJ1I+VmGhaFCzBUO3bNjkaq39DN5KiOgKmiLjej4hTeatVEVWzZUNiStRR9yw8ZxhGASD1y4C7Hrh8dMLHJ26qN8UWj54+6YO7r0kf/Pjt/fzD8fm0BSJXX1JXrSWmC8K+q3r+JQMm++dWqAtrKHIsnCsR8L3RJEvSxJj2SpzRQPTcRlIhTAcn0LNYmdfnMWySd32CCgyHbEgFdPGdjw8X2Qcq42pltYwk8tXbUqG3ewuWq6PIqkkQhrZqkWhLvJyfd/ntz66k/OZKrYrNi9fOzLLVK6G7fnULYcXR3Ocma+wdzDB8ZkSewaSSJIkChZfZCG6vk9PIkihZiMhHEsBovpbf0P7RnF8psjJ2RKJsMbbN3VcFR3g1u5bT0f0pUNTfPHQNL4PO/oSfGbXxUlMQFUI6zLThTp1WzSzHK91Fd+fDKOposCbLQiX3LrtsVA2+F9PjzYi5aAvGaJUtxnP1fAacWSxgMr7d3ZzdrGCKkts7o4J08nGz3E8n7CqUDIcJvN1bNdjMBVmsO0iBf6ekTSPnVjA9jwhY3Bd/vbgJHsGE+QbDBip8V6zJXONMc7lkKtY/PuvHmOpYhHQZP71w1tuKoO6K8HqRsTGzhgTSzWmGu7GNcvFXZUZoKsyu/rizOSNZjRPPKizvtOnMGGtiX/0fJARDRDT8ahZQt+O5FMxnIaxEIDQZbuN7tCyXu32oRSlus18yWCwLcz2FhOthZJBqW4z0BZmrlDnP33zJFVT+Jf8X49sZ+AaRovdDGiLaEyJYAlsTzgKJkIavi98W1RFIqgpbOqKMpqtNot1yaV5L/sN7asERHWFSFDjl9+zmdFslW8dn0eWJbIVk7rlCMq65TBbEM9Hs/HsC6gyxbpIHnB9n3XtYS5kqpyYKVJo0HHjQY32aIDbh1M8czYDkkQ6ohPWFPYOJsnXLL51XBi29iZD1G2XxZJBXyJEriaiGvEhHdGZyteYbDh+BzWFJ89k2N6b4BN3DNARC7zqNXM5TOVqfO3obNNP4OO39xNoUZgAHJ0q8MSZRXwfNnfHeO+O7lu2kH/00DS5qsVAW6hldNeNwq99YBtPnc1wZqHM/3jy/Bpn91sBXzo8TcXT0VWZR3b3MtB2ZetRzXIpNiI6sxW55SReU6QmU0aRJfrb1u77u2OBZnHmwwr/m2UEJIlnL+QoGw7FusMLozl++m0rX+O6PmFNoatxHBFdwXY9Aqv2UJoqo0gNGZYqNz2jLsXbN7ZzcraI3Uheun/jWuZMbzLIxJLwulJkiXvWt615jabIIrnJkZEkEcPcCstFu4RoYC/7dVyKozNFfF8kXziuz+HxteyAtxqG2iOcmC3i+j6yJLO9760jWdNXXZdX4jd9XVuIruvyn/7Tf6Kvr49oNMro6CgAv/Zrv8YXvvCF63koVwU1y2kW8Ibt8vyFLL4vdHUvNqKxAEYzFf7+8AyGLTYqH97bx/r2CBFdQZVAFdJPPM/HcDzGGlnwtiuiJiKajOf7lOs280WDfM1mfKlGfyrE3oEUVdMlV7GEe31EJ1sx6U6EUBWJ/mSIO0facBsF997BFJ4vdMIBVXS4EmGNzliAkfYIHbEg3fEgEV0l3FgA/+S5MV68sEQ6EuDFCzkWSiZT+TrzxToLJZOZfI2KaTe0q4FmI+NDe/rQFLFwtUV0YkGVrnig2flNhDR2D9yaRce1unHmiwbfO7XATKHOydkST5/NXJX3PZOpvPaLbjL8w7F5XNfD8zyOzxQZv8SJVZEl9m/owHJ84kGVZFhrGRCgy7CuI0JfKsTWnjjhxrVnux410+XpsxlGMxXOzJf5wViOYs0mqAlTu+UJw4FxQZVf9pe4NDv+3vXtWA0NtoRw/a9YLgfGL97/m3ri3LWurWl643mQKZn8yTPjJMPivlBkmYAm09W4f14Pvnd6QTh6+8I/46tHZt74h3yTYUt3nLdtEtPP/Rva2dWfoCMWQJUlAqqIG7v03lMk6IhodCfC9KbCOJ6H5XoYjttyKgIrp/DRgILjelQtm1Jd0KgtzwNJIhpQUGTx0zRZRpbhj54e5YkzGR7a2sWn7xnmHZs71xRJx2eK/PWBSb7xyhx/fWCSrx6ZaRo0lg2Hbx9bmZrxes/3rYT7N3awdzDJuo4Id4+k0VXBSAPBxlrfEW1ksAdW+Br4QERTSYc0dFW4Yod1GVWR+dE7B9m/oYO717XTnQgy2Ig3nchVmS8Jltmy26/n+SiSiBEUt53HsekCXzsyJ2IIDUdIbzxBCTYcl5F0hN/8yE4+clsvsaBKeyzAdL7GS2PiXvZ8n4rpUKrb/GAsx+GpPHNFg+54kHBAxfXhk3cM0REP0B7V2dIVQ5KkptP0u7d3X/aaeTUcmsg187czZZPRVSall+IHYxcbjGfmy83i6VaD6/l84dkxAH5q/8hNFenWFtH5D49sB+Bzj58XjMlbDNmyhev5WI7H4cn8ZV9Xq9nY9tpichmaKgkGp66SCKkstbjeuuNBEiEVTfZpj+rNNfVStMeCBBq8d02GvuTapsJjZzIYtoMsiSL2+OzaAlZRJHpToaZGvyseXFPAA5TrNobrY3vinm5lSCchkkw8xH5BbcG4mCsYDLZF2NoTZ2dfgsXy2t8/EdJY1xGhYtpUTZvd/a33vLIsN6NxkdZmiIOIsFym3bu+T1v0rT8Em8hWsVwf24Wy6TKXb81kuBWxeuiSvgI25XWdxP/Gb/wGf/Znf8Zv//Zv8zM/8zPN7+/YsYPf+73f46d+6qeu5+G8aaiyjKZITcMKkbGeR5Yl9g0mm6/74qFpDk/km06Wz57LIsugqxKeL2E5oni3KibZipjOX6QGS0Kr57lUTAfPExE48aBKpmwSD6q8NLZEvm7TFtHZ2RPn2GyJuUKNV6ZF3NpwOowiySiyxKm5EtmKgSLJyJJESJdJhXUqpsNgOszGzhhdsQCjS1U8H+qWwxNnMjiuz9nFMnsHxJRwecLvQ5MeKEkSdw63sX9DmkhAoy2iY9guFcPhybOLTOXq9LeF+bmdPXi+WJBupofzG8G1ovQI9sPFr1uZt1wJ/FvQbqJs2JycK+H5kI4EiOorTaD6kiHaIjqZskFAVYgGFGzXp2Zf7Gh7PoxmqmQqJgclqenh4COqBkkSEYqCwmbhBjV64gFsD0p1izPzZaGHDmmcmC1yz/o0d61Ls603jiQJGl7ZsFlsxJqBoP4uli7S3DRZamjrxNeuD77rUTFs1rVHCKgS+ca42PZ8/uD752iP6vzQ3r5XpV4nghqm4zJXMHA8/y3jjL5vKMW+S3KC9w6kWCwJj5CdfQnOLpZ58UIO1xfNQk8SUULzxRq5ikUooNKXDFExHBRZwl5VJFuuL2RHCKfg1TIMBaHRrHsSkuQ3KdnPnFtiQ6fJVK5GdzzIzhabsVNzJR49NIXric1+oWavochFG+fUsF2+8vIMc0WDnkSQH9rbd8Pct682NEXmHZtFUohhu41IuRDt0QA7+xPsG0whS/C/X5xEQlBWJckXUytNpma6GI5HRFdIx4LULIf/9fQon392jLtGUo3kE4+SIUxkPc8n1Gg6x4MaHdEAybBKxXA5XjDIVOym3lCWhLHn8rZdQrDE+lIh3rZJFNhSo1V0dKrA4Yk8mYpJoW43JnZ+I89ZFEHzZZMP7OzhJ/eP0JUIMtwe5skzGRRZ4l3bLk6QDdvl0ISIkd07mFrjPN0KU7kaT53NMluo05sMMdgWbprXtkJQU5oNI1mSWhYwtwIeO7nAWLZKIqTx8duvfzb8a+GDu3r4xtFZvntygV9+9Ch///P7W6aW3Kx47nyWvJMnqCr8+L3DLV/zI3/0IgcnhBTsU3cM8tlG4+JSBBTR6JQlYbPcipZuux4V08X1JEp1h5C+9nPSG6aW0Hg+tuhrdsX0S34WhFoUuSD2TMsms8W63bK5bzoeAUXC88XzOdOi+P7uyYWmebQPfPPoHD9938qMuaAm5KfjS1UiAa0lw6ZsOswVROylJEsrIlRXvJcuo5kS+OLzCLTQ6YvhXAHXE/vv3uTVNb29GXF8ttjcO1muz3dPzPLgtpuHmfNmsJoBcyUeSNd11/fnf/7nfP7zn+fBBx/k537u55rf3717N6dPn76eh3JVoKsy793Zw9NnM9iux0h7hFxVREnIjW7jXLHedMHO1yxm8waD6XDTkdpfXiJ80UV0PfEdJMH1UZdpwvhNXZHugarIpMIax2dLuL4w9MlXLI41cotFM0Bscs8tVgg1Ij7yNYtkWCeoKjgNl3yhNVE4v1hlpmDwoT29bOiKYjoeT5/NkKtYWK6gnb5/Zy9T+RpDbSGR3RrU2NIdZSgdYc9ggrmCwaOHZghoMh/e20dPIkRQU/jYvgFcz2+ZEfqPuIjBtjCJkCYePtLaTt2V4lakVC5VTCxXbJgrDbOpS+F44votG6Jgy1UtLn1i+wjjs7GlKpIkNuueLyQqsiQ2C7pysYDzERuOSFAlW7HpT4VRZSFj2T2QXBHNdmlxLe5ZqelD4fk+I5fEoMyX6mQqJpeeAkmSuG0owXTeQFMVUmEdz/eZyFYZTIXxG9r7B1+FRvqubZ184dlRTMdFV4VE5tlzGeq2uFf3DqRuOuf5K8HO/gSKAl86NIMkSdQsl3hQpWo5ImowpHNwPE+mbAkatumSr1qiSSgvb8FWYrmuli7jo4APkuSjygo+YhqTLYsJQK5qcXq+SCyo0hkPEG7QI0/Nlfj28XkyZZNMWWSUS8AHd/diOC7j2SrrO6J89LZ+AF6eLDDX0FnOFQ1eniy8JTPmg5rCJ+4Y4OxCBd/3OTJV4PRcmbaIzqm5Eoos4yOaa5s6I+RqDm7j2Vc1XUzHaMZEKrLEgbEcw+kIuipTrtsENQVJEU30nX0Jdg8kaI8EmSvW+YfjcyiyhHkJVdVH3PeuIFzQFgmQDOtNLW/9knXmwHiObNlkoWTieD6q7K9I9lBkCVWSWNcRoSshaMK7+pPs6E2INeeSm/5Pnh3jaKOxfma+zE/d99oT5ifOLNKTCFI1HbIVk3dt7WL4VSKW3rO9m++eXMB0PO5Zl75svvfNDN/3+aNnBEvzx+4eelOa7WsFSZL4zx/ewQ/GchyfKfGHT13gFx/Y+Nr/8CaB4bgosooPnF0sr/n7F85nODiRx/fF8/dvDk61LOI3dkWZLQovpsF0uGUTcqFkIiHuNQ+YXKqvec18oQaSWI8laDnRf3BbNw/vWODJ04sENYX/8MG1x+O6Hi9PFpoNgWMzRUp1i7boSgp/ZzzIRK6G5PkENJWBtrXF8KVxtf7yeHwVHNfj+QtZ8jUbVZbY2r3Wmb9muhyazFM1RWrOgUtYupdiR2+C4zNFXM+jPRakPbJWmhDSxMDMdjxCunpFRmi3Gkxn5e94qkVywa2K0cWVrKpWMYavheu6Os7MzLBhw4Y13/c871UpOzcK2YrJ46cWMV2Pe9a1saFz7Q26TMv0fUhHAwylxQM2oEocnylSMkQx4Plg5ly0RsfR8TwcfznYimbHT0IiqMukG9Px9miAQl045i4bqKTCGvGgyobOGEcmCyLiAx+1YYxVs1yWqoAvockSlis2QCK33qdmOuiKTHcsyB986jb+7sBUk/4rmgseP3nfOuaLBk+ezZCvWSiyLAp/z+NTdw3yly9OoMoyE7kaR6eLBDSFx09l8H2fdDSAaXv87xcm6IwHaY+K7OaZvEF3IsgDWzpvqa719URQU/jUXYNM52vEgxqd8avjG6HeejU8S1UTp+HWWrVsspWVNCrf9+mKB0mFdZ49nwHfx/F8ZMT9JAMuNI3SLv2vDAQUiVREw60IaqHcoN9+dG8/c41JeqFmUajbbOiM8o7NreOgfF/EyJUNDdv1SUd0Nl5ixLdUtUmFdQpVk2zFBgniQZWOaKj5c2VZomY4GLbLyQY9M1OxsByPB7d2tTRPkmWZkCajN+7LbMXk71+eob+ht57K1fjMvcMtp/nT+Rr5qohFez0TwRuNiuES0RVOzJXIlA1sz0OWxNrruB75moUEBFRhgHOmkRneFg3glk0Mu7VL/aXfkxp/ogFBpTYsl6rlYtoeuiajqQo02q4/GM0znTcIqjLdySClusNSxeTEbJGlqkXNdHA8n609cc4uVPjobf1sXRU/56/agBVqFq9MF+hOBFeYKV5t+L7PM+eyjGWrdMUDPLCl9fV1NRELauwbSvHEmUXKhmCs5KoWmYpB1XSQkNAUiZGOKEquLtIGbLfhRC3usWX2hOl4lA0HTZFEzrMhNLkBRWFXf4IHt3QzV6jzD8dmm0azy4w5WRIN8P5kEE1TaI8ECGgyA6kw5xcrTOVq7OpPcCFTpW451C2PeEgjU7HwXQ/PlwioUnNdSoQ07t+YZrBNPPcPTeQ4MVsiEdJ417auZoMnX7V49nyWmuVQqNmMZarcv7H9NeO9fF+wGvpSIcE+cFx+61un6YzpfHB3Hx2rNMid8SA/evfQVT131xvPX1ji0EQeXZX59L037+/SGQvyHx/Zzj//2yP8/vfP8a5t3WxuUcTdjCjUTGoImZDhrKXpOZ6P1/CpAFDk1sViNKAy2BbG9Xzao4GWHdFlRojn+2iyjNdCPuRJEroi48nLDfHWx33/xnbqlkssoLK+a21age342I7blCg5ktdS7/6OzR1UDJuK4bCpK0ZHi/X2jqFkIxJayLbuHFl7rz5+epH5omjwScB3T87zy+/ZsuI1NcuiarrNfUih3rpQ++n7R/h/Hr+A4bgi9aZFsy4aUC9hLkEidOub2b5hvIUGgcaqRDbDeuPO+9e1ktq2bRvPPPPMmu8/+uij7N2793oeyuvCt47NMVOoky2bfOvYfDPmYBm26/GNV+bIlE2KdbupW5OAuu3x2MkFfjCaQ5ElRtoj7OqLEw2oFGqW0NA2upzL16Tj+ciyRHs0wH0bO3hwWxc+gmrvNl4b1YWb6EhHhGLdplC3MV2RjWm7HoblIkkS8aBGUJcJ6ipD6Sj9yRABVSasyziu0McnwhrpiM7W3jiu5zNbqLNUEbFLo5kKf/PSJLFG1FNbRCOgyXz15VmePpsFX3RVp/N1clWLFy4sMZ2rNZ03c1WTsaUqo5kKjx6a5k+fHefIVIFnz2U4OH55DVbJsHn+fJZDEzmcK7FqvE64lstIUFPY0Bm7agU8iHiWWw1V82Lh5bgIg7FL0BkPsnsggem4LLf6Xc9v5sMvL49Nndkl8HzxANzZl6AtrKNINF3l37mlk70NOUxnPMg/e3AjH9zde1lqeyqi05sKozaK6qH2cFM6A7B/Q3uD6i6+p8oStiv4vCPt4YZrvXCcTYZ1apaI7YnoCqfny/xgbKnlzz00niNTsSjWLCqGg2F7zBbqze687fqUjLUPhZOzJb54cJrvnVrgr34wedUkG9cSmiIxvlTl9FyJYs3B9Xw0RWqYmdWbRdXy5q1mOuSqNuW6zdaemNBVv8bTzkcYy9wxnOJtGzvoSgSJBcV6q8oSiZDKXSNpOmKBpnThQqbKc+ey5KoWL08WeGW6SKZsslSzSUd0sbFFFHGrsWcw2Uzn0BSJk3Mlvn9qkb85MMVMYe206mrh9HyZQxN5clWLU3NlXhpvPRm6FtBX7c7DutpoZviNHHibd2/rIlezqNkeri+o74osjGO8hkMxeEzl65QMG8NysB0P1/P4mwOT/Pa3TvHvvnKck3MlnEbsoCSJ5ncspBINKMTDOkPpCNv74uzf0E4koIq0lqLBC6M5fmL/MD9y9xAPbO0QhbQsocgyiiy0qiMdEbZ0xxhKR/CR2DOQZDpf4+mzWZYqFqOZ6go/k2LdJhZUWapY2K6H6Xg8fmaxZUFzKd6+qYNi3ebkbIn5osHvf+8cL40t8b1Ti3zx4NQ1OEM3Fr7v87uPnQXgU3cOXtNm1tXAh/b08tDWTmzX55e+ePSm3rNcirLp4rg+huMyX1jrcH77cJr2aKD53NzWs5YmDuKZvBzJWLNctBbTgnvWtSFJEp4nohnv27i2Gf7hvX3NYZgsS2sy2wHGMhX+6geTwhciW+Vzj59f85pgQFnBBtAVmbbI2kJXV2TmSwb5msVi2aS9hRZZEvS9BjMWFHkty2BsqYLtiWePB8y2WLdt11/ByLkcK3K2IJrTruez2GD+rEY0oBJUZWRZIqKLFI+3OoKrrqm7R9aaB96qqK/an1k3uzv9Zz/7WT7zmc8wMzOD53l8+ctf5syZM/z5n/853/jGN67nobwuVC+h1Tmej2F7XCpZsF2PUt1mpiAmB5GASsUQ2jtVkZtd+ELNQpYlSobL2zZ1kK9ZGJbLwQnhtKnIMroqsaFDUATbY0F+4r4R/v7wDBXTJazJ+J6P5Xp4+Bi2y1LZIls2MRyXaEBBQuh7OhtTHMkXvCRVkdgzkOK/fe8cdUuYgkQCKgOpICPpCN85sYAiCTp+SFeIBVVePL/E8ZmicIZNhSgbIg/XdFwSYY2pXJWa7TKdq+H5giLvA0XDIhkK8P1TC4R0haF0mNPzZZYqZjNGKKQprO8staSNWo7H37001ZzULJRM3rfz5sxfvtVITAXTblJJQZjH3OxY/RkvFNduNh7Y0sUdw2187vvnGF2srtCwvRZM12Vdh5CNZMo64YBCMqzznZML3L2ujROzImO6NxnCsF1euLCE6bjcNpha02DZ1hOnOy4mEVojEnK56B9sC/MfH9nBZ79ynMNTeSTEdG2+ZFC3Pda1R3BdD63uMNgWpi2iM1c0COti07A6hmQZFzJVFPmi7jUd1WmPBTgwtoTt+uwbStERXUvJOzNf4uRckWzFoiOqs399ek227c2GnX0J5ksGTsPQR4gjxORdV4XfR74mmhGOB45rEmmYjUV0lR/a28fXj8xSMd3mNbL6eanKQsce0lUG02G64gHmi3UOTRaoWS7JsM6mrhhtEb2h8QbL9YgElOb/x0OaMAttfJ2vWeRrFpu7Y2vkRFXT5cXzGSZzInpufYPp5Xo+5xcr9F0jvePqZnTlMtfXtcBwe5hzi2WqpktfMshopoKqyPg0PFY8jxOzxRWmhLbnE9RkworcpLz7vsh29v3laaGgzFuOx+mFMjXTwcMnpItNb1hX2NgZ5cxCBVmSBO2+P8Er00WOThWoWg79qTDxoEahZvHc+Sy26/Ojdw0hIXF0qkB/KoSERN1xsB2foXQY34d7N6QJ6Qq1/MqpyqW/Q3dC5MxP5Wr4PmzpiYupoeehSzKHJ/MslExG2iMrGBvL56Y/FWKuUKds2MgSdMYCzBTqTCxVOTlbIh7SuHOkrclwKxs2PxgVvhF3DreRalHI3Ix4+lyWQxN5AqrMz79j/Wv/gxsMSZL4jQ/v5MDYUxybKfKHT4/yC+9cyza92RBSZSxZGC46LaKfTcflng3tvDS2hK4o3D7cOjFFQmoYrXkENCFpCa9yX++KB9naFaFgOKzviLakgId1lZ19CcEOiul0t3C5z9VslipCqqTKErHA2qLadn16k2G8fBV86E2FMB2P4KrL/9nzGcp1G9v1mSnUOTpTXGFYC3B6obxCa3d8ei2N23H9FfsNtYVpXyqsE2owEUB4QbXCt4/PUW0wuI7NFBjLVNm0itkxV6yTaTAHTcdbUwS+FRENqhiVi4OG9qs43LrRWFjlxWC2YI28Fq5rEf+hD32Ir3/96/z6r/86kUiEz372s9x22218/etf513vetf1PJTXhX1DKZ49lwWEw3UqvHISF1AVlqpiUXE9j7miQX9KUIsMx+XtGzs4NV/ixEyJ9lgA3xfa8/s2djCaqWBYYmbo+j7pcJCgriJLsHsgyXA6wv4Nab7+yiyOKxyXHc+nbrkNF2UR97YcRyE32oWDbWFSYZ2vH53Fcj1UReaxU4tNk6+a5VJv6AsL9Syu7yEhMVOs0x7RsV2f58eWuH0oxXS+Tl8yxK7+BImQRr5mYTouo5kK8aDadA9ui+jUGjT8o0sFLMcloCnkqhbt0QCqLGLtTNsVuaSXidgo1u1mAQ+CDvyPuDroT4RWUodvAY38pVMqHxhuW/tgB0HV3d6fgB8ImpnzOnVinn9RyhJQFeqWhyI5jC6U+PxTo80gsxOzRfYNtTHRcMcfy9b4if3DKzr+tw2leOqMmLwNt4fX6Nl6kyEe2t7FucUyjiciawbbwjiez8uTBcwGBbBmubxjU4LeZAhJkkR8Wn+y5fF3xnWKdVvQil2fWFCjaoqJvOv5nJwtka9ZdK166J1frAjdoOsxsSRzeCp30xfxqiLTHQ8iITFfbHgMIDwIpIZh4aVaZduDYt0hFdb49D1D/JfvnqVmeytijFbDbWggzy2WWSwLHWcoINYxRRIRndmqyafuGiR4JsNcyWB9R4TpfB3T8RhOCy8DSRL07Ud29XJ4skBPPMSZ+TKZsklAFYXo/vVp/vWjRznYmIKPL1Up1G32DYkpQ/oaFl2bumK8PFmgbDiN6+vq+G68Fp6/kOUHDT3o1p4YhybynF0oI0mgKwodsQCyLPHU2eyaf+t6HjVXoisugyRRNhxcDzRFwXRsEU8nCf+Yiuk0GRme5zOQDrOpM8p3Ty5StxwCqsKZBhtBxE26aIpMxXTZ3Z/Acf1m9OpUrsaP7x/my4dmWKqaHJ8psbkrSq5mk61YPLClkztHxOZ/KB2mPaqTrQhfnL2XmNsGNYUfu3uYgKo0Ddt29iUIqAqHJvL8/eEZ5koGuiLzTx/YwLbeBOcXyzx2coFS3WY0U2kyZuq2S9lw2NYb56tHZpu/q2G7TQ+NrxyZJdvI2p7K1fjJ/SM3/dTO931+97tnAKGFv5pMtGuJrniQ/+uD2/lXXzzK73//HB/a09uUNN2sqNsevubj+l7LBo/n+Tx7PkvddACbJ89m+TfvW/s+x2aKTdaQMVlAaXGJnV0sM5Ez8PE5Ol2kZq5lfp2cK3FspojfSIB4bjTHe3aunMZHdUVMqxtsh9kWue16g2267OwuDG/X7jePTBaaLLWZQp25fA1YWcR7vt/Mbfd8hGB/FW4bTPHFg9O4DS1/T2Jt4zWoq/Smgkwt1UCSGE639rTIVEzOL1bwEc/yVtvkw5PF5oTetF0OT10/FtWNQqG28no5PbfWw+FWhb9qlHAlPJ7r7hhy//3389hjj13vH3tFuG0wRd10qdkO965L88q0uIG298YJamLa1hbWmCvUcV2x8JXqltCqqjJT+VrzQbpQMkiFtWbcRK5mkghruJ4o3AdSYf7d+7eiKjLxoMahiTy9iRD/5M4BXriwxNmF8kXaqyQoJm0RnU2dMUqGhY/Ejp44qbBOrmbh4+N6Po7nXtIdFZR8VRIRS4WazcHxPLIkUTcdnJBGpmxguT4V06YvGUKWYTgdYWd/nD96ZpzZfI1MxWJ3f4LdAylioQqdMaF7PzyZbxbetis0q1u6Y9iux7mFCn2pED2JENsuk5GbCGnEgmqzkP//gvPm9cJ82URXhJYTCfTL5AzfTJCli8YyAOcWL08xdhuFcd16/Tb8IU3l/GJFeEU0pqjr2sXEIF+zCGkKiizx0li+qXkFsVkuG87KIn4wxWBbGMN26U2EWm6Y79/YwYXFCvmaRVtYZ8+AaJS1R/WmcVdfMsRn9o9g2C6ZskkyrF2Wxh8P6eweSDKereL7Prv6E4xlK40ixkNTJKbz9TVFfMUSWeiO5xOUfZ47n2N7b5It3bFXdcMH4RMymqmSjuqs71irSbyWeMfmTr53coGlismmzhh122WuUMO0vTXmNyAo6kPpMNGgzmLZpMHIFrT5xrW1/K8khEfCQFsYRRJyh7rtEtRkQppKJKCgyrL4o8g8tK0L2/XQFJmqKUwV0xGdb5+Y45WpIneua2MoHWEyL67Z2UKd5y9k2dmXwEfE0E3laiIqyPNRFKHvX9cRoT8VumqGlq0QC2r86N1Dr3l9LZYNxrM1Ohrxo28Gnufz0thFGdVTZzNMLFVZbDwfFUlisC3Euo4YR6cLa/694wpdro9EW1hnOB3BccUUfjpfpWQIXX2hLswNl6fv2/vi/Mp7tnJytsShiQI5SchZ5ksGsaDa1KmqssTmrijv2d7N0+eyzcK4YjpoisyP3TPE0amCaKwpMtGgRjqq8+7t3c1jDKgKn7hjkIWSQTyokWg0/cez4vccTof5zL3DzBdFQdOTEJ4Yo5kK5xcrGI5LsW7zO985w4/vH6HQMDnqS4XIVS1kSQwTXM9nS0+MaEDh2HSdzlgASZLIlE3GsyJub3Kp2pyIlg0Robd6Qrr62G500fz46UWOThcJaQo/dwtM4S/FR27r49FD07wwusRvfes0n/vUbTf6kF4Vw+1hyq5GOKC0dMQeX6oh+WLAJCE1ivm1cFwPVZZxPY+gKrNYsUiuamCXDRfX86haLh0xnZkW9P3xbBVdkTAdYWiZKa19zblMmWhAoWL6KLK8Ym+wDNfzSYV1ZvJ1fMQU3PZ8lFXbHV1VGqkkProifKNWozsebO5BZLn1fjQZ1okHNaqWgyJJ9KfWvsb3oT0SQFdkJKQmm2g1qpbwAFn2/2glhVMkIS3yG9Jb37+5G3NXA6tPzWL5rRMxt/oavpI+681n+3kT4bGT85xqdH2+d3KRnmQQWZI4PV/in9wxSEiVeGm8wGLZEDnuptO4sXycoN6Mulh2rJeAfcNtfGhPHwNtIZ48kwHE5ObudW3s7E8yV6yLzp7nU6wLav7WnjiKJHF0ugj4KB7NSXeuaqIpwszppck8+9elUWUZy/Gp2yK7WpElEkEFz/ea+hzxYPfQDUcY4UvQFQvgeT4Vy6VQc9BVBdN0+drRWb788gzd8QC7B5KcmC1SqNusk0Wk3I/vHyFbMcmWDQ5NyHiemO5v7o7yY/cMMZWv8+6GkWh3IsiW7tZFvK7KfHzfAEenCwRUmdsuiZm6FBXTaU6w7hhuuynda2823LehHVWRmgYsXbGbn165ui7rSV7+mNsj+mU3GkJBuxLLa+Xm7phobPhweDLPS+M5PN/H9TyW3647EWRDZ7Q5nUtH9TWsHKCpf74c+pIhfvTuIcayVTpjQbb1xslWDKJBtRkLtacxvQtqypr4kdWI6gpzBYOZQh3b9QlpBfI1i/lCDR8o1x1B8V+FkKo0NmeCmZOrmDx7LsvRqQI/evfQZWPO8lWLv31pCqsx8n5wa+dlWQLXAh/c3Ut3IsiXDk0jS3B4ooDtidxxyV7ZvJERFM3d/UkOjueIBVVKdfsiO7LhReIuGzdJcM/6dh7Y0slXXp5hsWRguz6OI9hMpuMynI7w0NYuqqbD5544z3SuxqauGD/79vUMtIUZzVSYzNVJhHXOLVRZ1xElqCnMF+ucnCviuD6HxvMgQSKsUbOdZryh6/sMtYX40J6+6/JZvtb1lSmb/O2BqebU5+Ht3Zdtvr4eyLJEUJOpWS75mkWmbHJ+oULFsJusoNuH26hbHj2JIGWjuoItIfwOhPv0YFuYR/b0cn6xwqGJPKqiEAuI54KuCl2t6Yjp+sRSnb8+MMUDWzroSQbRGufyzuE2RrMVclUb2/UYSkcYaIuwpSfOTMHg7IJ47ncngkR1FVmW2D2Q5PhsiVKjmd6qiaWr8orP9fR8iW8dmwfgB6MSn7hjgO6Gi/1L4zmeO59lJl+jULdYLJmieVcyydcsdvclkWWJeEhjU3cUzxNSON/3cX04PVdhOl+nVLfZ2BVDVST+/uUZQDSNepIhIrqIW2wVS7ecptA8tjsHbpgG3fV8fuc7Ygr/mXuHX3MtvdkgSRK/9oFtvP+/P8M3Xpnjx+/NcfvwzavdrVoukqpTt7yWrJ/hdIRi3WkWtzW7dXO8bNjkqqLgdn3obJFbfn6xzEKjWVezXBxv7Xuta49QNl18X9DE0y3eZ3tPgkrDIM523RW+M5dibKnWlKGML1VbvqY3GWSuIAp9XZXZ2MIkrz8lpG2W66Ercsspu+/7BHUFWRYswFZFWFCT2dwV4/hsEVmW2N7Xeh0VzyylGd/cyl7hA7t7+X+eOI/beN8P7Ozh8y3f7a2D1b2aqH7zD6BeL24bSDB2SVpDIvjGf7drXv2kUqnXTd3N5W4uashoViwAvu8zna+hqRIBVcH3fc4ulKlbDqosEW5EPfieTyKoIssy0YDCUsUS3TRJdA43dcVoj+j8zyfPc2a+zG0DSabydR7a0slP3LeO0UyF0UyFUt0mWzGpmmLalwxFGExHGEyHCekqmiJRrjtULYegJjNXEE0Ex/U5OVdmR3+CzliAuqXiSz7diSAdkSAl02ahaJCrWkSDGjXTJhZSUWSZWFBl10CCZFgn0tjwpiI6RyYLgCh6xrJVNnTG2NgZo2I6dMYDPNSg77VHA/zQbQM4HhybLbK1J84vvnMD/alwS1f/yyER1njbptYu4Mv48uFplipiSjGVq/Fj9wy/6utPzxYZO13g3g1pBtre3ERpGa0Kw5sZtucz1BZmPFtDUaQ1WqtbAS9dYoh4eq5EpmKydyBFyRAGj0FdwbfdZiZ7UJUI6wqSJFGs26gSGI39Qzwg0xMX0U2263NyrsRS2URvuJt3xoOYjoeE2GBYjsc7NncgNdglrxUNdTkMpSPNBAuA9miQ//RDO3j2XJauuGgWvDyRJxnWGGgLv+rPqVguAVVGkSQ0TSZfsyjULWxPUAFDOszka/StonaOdETojgfJlg10VW4WFWXDIVM2L1vcTefrzQIexHpwPYt4TZG5d307ruvzhWfHMBtsH9cTxmVqY9KuyhI9yTCd8QA7+hJM5mp8aHcP33hFGJVGAyo1y8X1IaopGLZLXyrE731iD0FdYSpXa6Z12K6L6/qs74hw74Y0QU3mr34wyeGJvIgEXKpSqtts6YmzVDWb+cae75OrWPyTOwf4ixcn0BWFimGxVLGEyZMv9G9aI+IwqMpMFwxOzZWE9lqSWCwZdMQCr8mOuJqoWy5zxTrT+foKY6XxpeqbKuJBbEC/fHiayVyN3kRIRLYpws8gGlDZ0BFlU1ecsmGTjuqcmClTNhw8xHmNBWXSsQAPbetie2+CfUMpxrNVksMpXNfnhQtLoki3RbNalgXj7PnzWd6+qZ337ejhxbEc69ojPLilk787NIWuKlRNhw/s6uZDe/oJagr7N6SZztcwbJfbBpNM5GokQxqpiM4n7xjg7EKZaEBdkUBxOYxnLxYRjuczmavRGQ8KyvD5LL4PXfEQp+bK2K4wsLUazDXPh0/ePsCW3jjd8SABVaTBlGo2T55dBCAeUnAcn3vXp0XEJuB4Hm0Rnb5EiH3DKbb2xFvuwcZWHdtUrn7DivgvHZ7m9HyZeFDlZ9+27oYcw5vFtt44n7xjgL8+MMWvf+MkX/n5/TethOGedWmmK5CKaIx0rN0TjS9VSYRUinXhoxS+TGM3GlAJ6QqO69MVD7BYsUlGVl5DS1ULTRZyJFWGI5NFPn77yvdxfRhqC5OviWjQ+GoRO4JuPpQOMblUR1fllpIF3/cxbBE96vvCZ8mw3DWN6TtH0oxlq9RNh/WdUZLhtU2ju0ba+NqRWaGpV2XuamGo1pMM0RkLUKjZKHLrfZUqy2iqTEBVkCTh49IK6zuiLDQYCInG8381NnXFeMemDjIVi5H2MOHL6OvfSli9114s3/xGvK8X8UhghadCOvrG199rfgX83u/93rX+EdcM3fEgE0s1JEnC9YXZkOi2SQ2djE+mYmK7Hp7nka/bDUoMBDRBvfTx0RSFREgloitM5GqU6zbnFitkyxaqImFYDhP5Gt3xEDO5Ki+M5VnWyu/sFXE32YrJxs4otw+lSIZ1nj6bEdE3ZYOSIRaQuuUKiqcqdIO3j6QYy9bwfYnuZJCd0QTnGvThwbYwp+dLIqoCYbTzw7cP8uXDM1RMh55EiD39iWYRr8gSm7vjDLaF2dwd422bOtZojfYMJNlzjbW1puM2C3iAbCOG69Uikv7F3x0BPcznnxnlv39qL9t63jxVtTOmM3+JKUXgJjeKK9dsxpdqorPuwtGp4o0+pDeMzsZU+ZuvzPLVk/nGNFU4Q1uNyRuApgjviXdt66I3GcLzfb54cIpc1UJyPWQJNFUlqCsYjsep2RJLFRPbE/dcIiTMrfqTIRbKJiXD4fR8marl8rF9/Vd8/FXT4bGTCxRqFtv7EtzRmNT0JcN84o5BHj+9wB98/xwTSzXaozpv39TJR/f1rzBDuxRd8SAVS+h/HXxURTBsrMZ4Od8wAlqNqaU6k0vVptHOMoNBV+VXNcDqjAeQG9rw5Z9/I6CpMrsHkqQiGk+eyWA5HiFNQVNEVJiuCZ33noEU79/ZzZ+/MEG+ZrO1N0GpIYNQZIm6LVzCxUZbIlezGAlH+fH9I4QDKgfHcrw0UUaWRI67rqjMFgwOTeSwHFdEyVkuj51awHI9MmWDxbJFIixkGV2JIMmwTiqso6uyMCPzPLRGdr0oNkV+ctX0ODFT4re+darRJFIa8aUSPckQpbpNbzLEg1s6r7iB9FooGTZ/e2CKiikaxK7nE280ELpaMDreKPqSIfZvaBdJAr5PXypEtiJkK+mozq7+ZCOSNIDrSQymRdPRbnxmkYCKLEmcmClyeq7M+3f1sHcw1SxGO2I62apFUFOETMH1mFgSrJQ/+P45NnbF6UuK5sErM0UUSZjhSZLE4YkiD23rJhJQ+dbxeWqNZ+lvfes023riBDSFD+7uZaQ9wt5BwRB7cXSJ03MlUhGdd2/rJrRqQuS4HmPZKkemCsRDqrgmLrlnlhs+y+k1pbrNUtXEcoR57Xi2ysm5Ep+6JDLu9HyZgxN5Xp4sMJWv4XliQNB7LMiGrhiOJ66jZZ3/PRvSl41z7YoHOTMvGAeSdHXO8ZWgbrn814YW/hcf2HDLmPC1wr9812a+fnSOV6aLfPXoDB/ee+XPi2uJ6XwdTw2Rq9i47upZJwy1hajb3gpdeCuMZatkG/sxY75MW2BtwzEWUHGWHdw94YexGr3JAHXbRVcFi7SVo3xbROVCport+tRslwst8u1lSUJXFBRZdOs1RW5ZNC8U63g+6JpCoS7SLVbjQqYCkpBl+cCFxQp3r1+Z8tOXDLGxK8bEUpVoQG3Z1K5aQpKzu7E3bhV5B2IP7jaGcb3JYDNS81L4wKbuOJua33nrG9uFdImqdfGzeGjbqw/5biUsls0V91auRYrNa+GaF/Gf+cxnrvWPuGZ4384eDozlMG2XiimMbBzXZ75Yb9KSdUWiZgld4zJ1XUbkVfakAyIbU5FJhjUsz6NYclgsGyxVLBzPw0dirmjgeHk0pcR0oY7jeXRGA4QDKomwhmF7rO+IkI4GODZT5BffuQFZEpTHoCZTrDuUDdF9TIQ0OmIB0hGddFSnarp0xgMEVIVEWOc/PLKdA2M5LMfjk3cMcD5TwfV8bh9qIxHW+PS9QxTrNsmQ2Hh+/PZ+njqTIRbU+In9w3TEAnzt6Cz/88nzFOs2HdEAG7tivGd7d1NKUGm40F+LzWZAVehNBpktCF1MXzL0mhnHjuejIrTMf39ohm0fePNF/F3r03z1yFzz612Dran/NwsmlqpNnackXV9H6quF8wtis/702Sy+LzbM0/ka3YkAg20RdvQnKFRtIgGFHX0JPrirlwPjIgHik3cO8ty5LONLNSIBhXQkQF8qRFcsyFy4jiyLNATPp5lbbToe8aDapBQua1SvFE+fzTCaqWC7HrmqRXc82Oy2u54w05pvmPVkKxYTuSqZstmclK9G1XQYagszXzCo2y5hXVmZGeqzotG0jEOTS0Iy0KCUz5XqvDfVy/0b1zbmLkVXPMgje3o5t1AmHdXZO3BjrvnBtjA/GM3RFQ/SFtEpGTbdsSDrOyP0JsO8b2c33YkQ6YiOJEm8Z0c3x6aLVE2HvlSYbMWkIyY2SdnGlCioybw0lmOoLUJvMsQHd/fyzNkMIU1uTPt9xnJVBtvD9CXDHJnKN93m4yGNmXyNiuUSD6mENBFztL4jSq5qcWa+zHS+1tRr+r7PXNFAkgSN3/FBAZCEcenZhQphXfz7qZzB+cUKQ+kIhZpNMqSxrTdOWBd5wVXLIayrl230vBGcW6g014WIrpIMa/QlQ3TEAletOdufCqHKEo4H965vx/E8wrrKe3d0NzXZIV2hLxnCclySYY2q6WI5Ljt6kyTDGpIkYTouhydzPLK7j5fGcxiWy/nFMpbrY3s+PckgS1WTuuMR1mSKdZtTcyV6EkFcz6dk2GSrVnNNDAcUTs2V6YwFmxupfKNJY3s+qudzbKbY9AZ45lyG//XkBXyEoV1QU3j4En080DTuW6oKqdk969LN+71q2ByZynN+sUI6EuBH7x4krCs8cXoR07HQG6kLU7kqpuMSaHiYHJ7M43geEj6e54uiRZUYX6rRmwqxuSvGRLZKdyJAJKDyylTxsvK12waTzX3Euo7oDTNj++NnRlkomfSnQnz6NVh1Nzs6YgF+/p3r+e1vn+F3vn2G9+7ouaw86UZiOB2m7AnX9FZsgZLh0J8MMls0kCWpJZUcoNIYIIlKxOfobIEHkyvvg03dMUYzFeq2oMlHWzCLkmGxxswVhXfUUHrttfjihbwwGJXEHqZVNKoPbOyMcnAij+/7rO8II7X4/QzHozsebEaVFlq81+n5CrnGGiHW5bVNg4phcXB8ifmSMC3dN5Rc4ZMBIha6PRZo+mO1+t1ATNmXmW7xkEYqsvZzunskzdRSjWzVZH1HlPUdt1pO0hvHA1u6eezkQpNhtLn7+hixXg8slVcOWUz39Xs6LeO6czEuXLjAn/7pn3LhwgV+//d/n87OTr71rW8xODjI9u3br/fhvCqCmtKkdk/l60QDWrNIVWWxsZvKG5iOewmN0m3QhoSzdCwgXNyDmnC/9nwxgVk25ZF9kQM/mas38yh9X8QTJRS5YQwHSxWTquXQFQuiKnJzGvD9UwtUDIeFsslsocaGzljTqOSDu/r4/ukFRjNV5oplepOCkncpXb2/sako1uymPu7udW3Nwvhj+wb40J4+ZElCkSW+fnSWpYrFxFKNTNkUk7n5MiPtETZ2RvnKkVmmcjVCusJH9vZdE7OcH9rbx/EZMUne2Zd8Q/+25yqZ5Un+RZqPBPgtYlpuJgykI0IDjLi+wvpNTh1ogWRDh54Ia+SK4vNWGhM6gNsGkty/sQPD8djSHeP7pxabzqauB599ZDvfOT4vqPWKML46PlPkQqZK3XLZ2ZdAlkSkyXzJgIZb+XInPxnW+MYrsyRDOneva3vDTaqSYXN8tkS1od1926aO5qZekSUiulgrTMdrTGFlwi1idJZRs9xmIRnWFUzHb65DIK7NrhZRPVXDZXkY4PkwlTN49NA05xfL/Mp7tiC3iMlZxkh75E2bnL1Z9CZDfOz2fr58eJrbh1JM5eu4nk8sqPPJOwYZbGySfN/nL14Y54ULS4R04VIc0hQGUsJFPh7SSIY1HNcjV7N5/sISjgcf3dfH+o4o23rjzBaNRkqCi+d7nF0okwwJx/uXxvJoDQNTRZaRJY/1HVHCutpshjx9NkOuajYnu4Lu6WK5PpbjNTX5LpCvmOiyTCigokgiLimsK8212HE9vvnKLM9fWCISUJAQMWaJkMbHbu9vTs2vFPFV1MxNXTH2b2i/zKuvDJ2xID98xwBj2SodsUBLXfmylGSxZJCtWNwx3EZQu9i8ncxVOT1XJhJQCaoqj+zpZa5Y56tHZwlqCo5pUzYdIpqE6LsJam3oklzNde1RBlJhvnNinlhQa5qqgoiLPDJVEM/voIiog5XRUN8/vdCUG4xlquwdtDEdl2zFIhnSiARUZot1ZgtGM41lPHsxbeWPnhnlwmKFqulSs2p85/gcpiuaC44Hvu3hujan5sr88heP8n8+uJHuRIhTcyWWKhZl0yXUSLMBiOgK8aDGbUMpvnZ0lky2xkzeYKCF0dYyJElq7iNuFDJlk//11AUAfvnhzTdlwftG8ZP7R/jLFyeZKdT5wrNjN2XkXDyo0xkR914itHbdSEV0qpZIOXElcP3W+xtdU6nZltgESXJLCnimZFKoO/iIRnmrR1osqLKuI8q6xnrQSkK0riPSkN/4l32NLMFCWXhLgDD0bdXg3DeUYq5oULdc+lJh1rWQFNRsW5jfNfYB1Ra+AF87OsdswRBsONfjS4em+cUHNq14jSxLfHxfP8dmiiiyxK7LmJbuX59mMlelYji8fVN7s3F3KRxPxEwv1x+vM4jnlsb23jizhTqu7xMLaGzovL6GutcS23oSHBzPi3QVoDcZ5uQbfI/rWsQ/9dRTvPe972X//v08/fTT/MZv/AadnZ0cPXqUL3zhCzz66KPX83DeED64u5enzmZwPY93bO7kfKbCXKGG7brN4lucCGEcJ0kSVcOhNymivcK6QtlwCOsiSmd5GlozxbTBcoQjfLDhmmk6HroiNRfYQxNCo3npAmC7Hp3xAF2JAL2pEB/Z20u+5jBTqNMVD5CKaNy7Xmh/uuNiA3R4Mt+MMboUX355ulnwzBbq/MT+4aaO7lI63vLkwvcvRvgsf/9Cptp0p69bLi+MLl0To6aAqrT8HS6HXX1JFk2ZHX1xfvK+katyDMvnXPJFV5ibPLItGdZIhFSWqjaSxAq39VsFYxmRzf0z943wF4czFGo2H9rbS0BRsF2Pu9elGb6kwFy+VpcRaFDrJpZqaIrMw9s7+e6JeVRZIhESG+KP7RvgzEKZREhntlBna0+Md2zqZKlq8cSZRTzPJxpUsV2Pd27pfEPHHwmoTfd8VZaaztzL+NCeXnRV5tRciaF0mIe2dr1qYdafCnJ2oUy5YQ7W5vsoiozsueAjpDotNh75+srp/DLT4MhUkaPTxRu+sX896EuGWN8RxXHFdLtkODy8vatZwAOcXSjzD8fmhANsVdAiO2IBapZDKqzz/p29HBhf4shUkfUdAfpTYRZKBidnS+wdTPET+4d54fwSuZpFKqzTmwiRq5rYjsftw21s7o5zZqHMHSMpNnVGOTVfZr5oIkmwr5Gr7Lge5xYrOK7XNBKUJIlUWBMuu5dcoi4SLtCbCBIPaZQMm219KXyPhiGc3cykP7sg3nMoHaFYtzk8kecdm9/Y9bgaG7ti3LPe4kJGJI7c2UIDejXQFQ++qhTjoa1dPH56EcvxWN8pNQu7VFhnoC3MM+cyYhotwV+/NMnugQSyJLG+4dw+na+JvGZJQZNd1Eaj7+O3D2C5wshre1+cTNnkHZs7KRlCqrCnQYV955ZOhtJhbNenULM4nxHT8nvXiwgq3/dJBjVCukK9cT43dUb5yxcnKdZtdFXmI7f1sbEz1mAdCDbepb/zaKaK5QoDTYDFisVCyRSu2bhYTiN8SIJDEwX+/PkJHt7RTX8yhOP6hDUZVRXmVwFV5sFtnTywpauRdhFoNh9bFQI3E37/+2epWi67+gVz6q2AoKbwyw9v5p//7RH+55MX+MQdAzedUd+9G9JMV6EtrLds1JVNh5AuEzCFjlu9DNPngc0dfOfkAq7ns6Mv3nJoc2K20DSS9X349okF3rtr5b5wS3ecXMVibKlKVyzIHS1y6e/d0MGn7hzkG6/MEQ4o/M5Hd615jW17TOdrzXjYhaJBqW6TXvX5b+2J89SZLJoi058MtXTo746F0FQJ2QVFkehq4ReRr9mimG78bhWz9SQ1qClN+dzl8N2TC5yYLWLYHt5R+Nm3h9YkSrw0nqdquiiyzFzR4Lz01tGHXw73b+zgwFieiumwpSd2WVbIrYjPPrKdY7NFTs+VSIQ1/vsntrP1V9/Ye1zXIv5Xf/VX+c//+T/zL//lvyQWu6iLeeCBB/jc5z53PQ/lDaMjFmjqYZ86s8hjJ+YxHFHAL09jZWCgLULFdCjWbRbKBhXTpjcZZnNXjDMLZTRFZqQ9QiygUDQcPM9nU3eMC4sVpgs+AUU8nN+5qYNUJMD4kohQ2t4rivfR7EVa9N8cmOS581nKhsNtQyk+eccgc8U6FzIVTsyW+PrRWeIhDVmSmg+RTAt6reV4K7IYi3Uby/VabgDuXpdmvmTQmwwhSxKpiE5vMsimrhiTuZVOoOqrTPSuJ96+uYOypzPSHhEUxKtAPY0ENJRGN1SWeFUa8s2AYt3G8aTmOX2z1PAbgZ4G3VNVhJts2XBY1x7l7nXplq+/Z32arx2dbRQDUYK6yGg2HRfX9zk8WSAWvBixpasy925IM1sUbqFbemJ89LZ+zi1UeOLMIs9fyAISnbEA0aD6hov4wbYwu/sTmK5HRFfXOEZ3xoN85t7h1/1+03mDgWSI6Xwd13PJlk16EgGm88LoMhZU2da7tuuvrmo4XXo7XM50B8DzPP7g8fMcmSrQEQvwy+/efENjqe4YbmM6L5qGezqi3LXqOqia7ooIl1hQY3d/korp0J0Ict/Gdh7Y2sl3js/zpcPTvDyZJxXReaBxXl8czdMeDxAPa8wU6hybKTaaKhJfPzrHLz28eYUD9e4BMd0JqHJz07i1N970UZFlCd8TWfUV02n4kfjNOj4RUmlrFKrLMUQPbRG+Dt8+Ps9Cqc5oxmBjZ1TE5TXOo+f7HJ4ocGquTE8iyHt3dhNQFVzP57GT84xlheTk9VB7716Xvuz9dL0QC2p8aE8f79nh8uihaQ6MCUlMMqTxwT299CZDLJYkclUL2/X5yssz/B/vWM+mrjiHJwsENcG6KBsOqUiAREhDV2UWSga/8M4N5KoWf9NIWVBkiR/a07ei+QM0J4LAmutKkiQe2NqF50uUDZv7NrbjcZHeazkeR6eKPLy9i4/d3s8L55dYKBtkKwYvjS/x3RMLwlTLEtPJgCrTnwqRKZsNiZ4MvoeiSCiS8E+YK9WRJYmQrrK+M8q5hTIdsWBz0l63PXxfMHoubZKs1um7ns93TswzsVSjNxnkPTu6b1ihf36xwl8fmALg375v601rAncleGR3L3/y3BivTBf5ve+d5T//0M4bfUgrUDEdygZosoztemvWBV2RSYZ1EiGxDq1m6SwjElBJRwI4nkc8qLU8h7IkN43JPF9IUFvh3g3t3PsazJ9ffd9WfvV9Wy/795Is7gGlsfe8nGP8wfEchiPSQWYbRp6rGWY7+hI8fmaRmuUSDajsaOEqf8dwG188OIVhC2+Vy5l/np4v8czZLIos8a5tXS0ZC18/Osvp+RIg9Pcfua2XofTKqfNqVsHVkFHd7Dg4kUeSQFMllioWk7naW2YaX6xZDKXD6IpMOKCSq9+EmvhLcezYMf7qr/5qzfc7OzvJZrPX81CuGI7j8cfPjmE5ghof0BRM20WWhBGPpsgotqDSu66Iy8hXLSRJaADvWdfGSxM5nqtaRAMqiZCgDtquz6auOBs6BWVoOStdk2WUwMUbNagpyJLQzL48WSDfKL5fnixwbKZIrmoK/Wa2Stlw0BWZfENLGQ2qLS/+0WyFsmFTt106Y0GG0uHLPti7E0F+6j6RYx1UZQzHIxpQkSSpSUE9PVemLaJx31WmYl4ppnJ1ghGl6fx8NTKY13VGCKkypis0Vdc7M/uNYln7ZTliE6pcI3Osa4lNDTfoZ85lyJji+nzhwhLD6cgK3XixbnNoIockSXzqzkFURbhfT+VrTORq+L5wHS8aNtt745yaK6Mq4uGaDOv8xP4RqpbTjJY6NVdqdto9X5ihed4b57Ft700wvlRjLFOlMx5405POsK6Qq9voioQryciSML1xXB/T9djQGaOjBZ3+XTu6+eOnx5rNx76GTvkdmztaFv3LeOJMhidOi03NYsngT58b41fee/kN1bVGRyzAR/f18+KFJcK6guV4K1hD23rjbOyKcn6xgq7IfGB3Dw9v66Zuu0Qa5xZEVrDriT+O5zdJNdmKge9DoWbjez61hl4xrCsYjkutoUdfhiRJa7KEh9PCCf3EbJGy4RDQZHJVi1LdIaBAyRCaa3wIaQr7hlIMt4cp1h229sQZaY8wU6gzlq3SHg2Sr9pM5Gq8bVMHiiT8VFzPx/ZcahWHimnTOR7g3g3tnJgt8uy5LIW6zcSSSkdUNC5uJBbLBq9MFQnpYjL1an4mAVXhzpE2pnI1BlMyhbrNwfE879vZzf948kIjiipAxXQ4Ol3k/bt6WCwZTOZqXGh4vdiuMD3VFImq5VIyHC5kqk3tqev5nJ4vrSniXwu7+pNs6orh+T5hXW0axC1jORXjw3v7mSsadMaDKLLE/3zyAqW6QzKsN/0AtvUm2NUXZ1NXnC+/PE3VdFjXEaVsCsOtdFRn90ASzxexsxcylabp4ZNnMmzqimHYHo+fXuTDe/sYy1Y5t1ChPaZzz/qVDYhXpgvNYx3NVDk0kefe9Tfmmvitb53G9Xwe2tp1wxtHVxuyLPFv37eVT37+Rf76wBQ/fu/wG0rpudZ4ZapIMBJlxqrz3Pks79nRs+Lvu+JBPry3j68fnUVTZH7qvtaJAecz1Yac1Gc6X6duuWvYY13xALNFAx9BWNx8GY+GqwFNVbh3XZqnGukN+4ZSxENrp+wXMhXmGjT4qulQNtZOtPvbwrx/Zw9VyyWqK3S3mADft7Gdd2/r4nxGGNu1+pwM2+W7Jxaaw7dvH5/nZ1okMFxqambYHvmqzdCq2+Ke9WkyZZNM2WRDZ5QNyVvP2+iN4kKmwmxB+JBVDYfiFRS6NyuePpdlKieGRqW6zbePL7zh97iuRXwymWRubo6RkZWU5pdffpm+vuuTj/tm4Xge9nKAo3+RVo0EybDOcDrMaKbKfMloRgdYrtBSRvQ6dcthtmiwdyBJpmySrVoMtoX5pw9sRJUFDX+pYvK9UwsYtsdd69oIaypPncsgIah+kiQ1CueLxxXUZEzbbU5wlml6qYhOXyrE7cNt7OxLrNlknl+s8K1j80R0tWmg976dKxf01dAU+aIT+CXFviRJPLy9m3dv63rdsYLXG6bzxo0jWiEd1emIB6gYDiFdpesy5mM3C3oSIda1RykaNrIkdJ+3GgxLPLBMx6NhBdb4+uI59TyfLx9eKQ35kbuEu3NQVVjXHmW2UEdVJDZ3xvip+9dxdqFMSFOaDS5FllZsRJJhjVhApSsexLBdtnbH2HMFpm6KLPHI7l58378q98fGzigywiTM8wVDQZEkPrS3H9/3kCS5SZW/FOmITjSoYthCT/1/f2QXtw+lXlULDzBTqHNusYJpuyiyRPcNnMKDONdffXm2OQGdLRrNcw2i4flv3ruVcwtlosGLWrrYqgaWLEmNxp4PSNgNofrtQ22cmS+Tq1qkIjqBBn15Y2eMjmhgTaNzIlvlr1+apGI6PLS1i3ds7iQSUPlQwxtEV0X06BNnMpTqNnPFOmBgOC6qrLCrP8EvPby5mQUuSRKe5/HXByZ54vQi6YhOZzyILIk4prMLZabzVSRJYq5gYLmiibG50eyaXKpxblFIUDJlkzPzpRtaxNcsh0cPTWPay0aRNu/f9erPGtvxV3zOpuPyoT19WI6IlEuEBK19+T0f2dPL904tMNwe4Y7hFI+dXGCuaJAMa8SDGiFNIRVeWWS0csLOVsxmBNy9G9JrotdMx202SFxPSCVCmoyuKnTFg9y17mKDTkJqTswsR/gi6KpMbzLMvevT/J8PbmRiqcahiTy/+p4tvH1TB9GgxtePzvL904t4nsdcoc6ZOVF8n1soE1AVclWTsuES1IRx7nLSwvt29uDvENfwD8ZyTOVq9KVC3LMu3Vg7L/09Vn49na9xYCzX9Oy4Vnj+QpbvnVpAkSV+9b1brtnPuZG4e12ad23r4rGTC/zWt07zx5+540YfUhPnFkssGFWiAYW+VOt1PBHScT0fVYF4uHWpYLseliua2m7DL6pr1WsiQWHS5jieGHq1CkB/nRjNVHh5skAkIPyqVtPNQTBjL32WtRpWL0tWXU/ci62exnsHkuSqFrOFOgOpMLtbOM/Hghr/14d2MLpYEfv/Fn4xTqNBvIzL7UE3dUWF5t0XzIfVe3UQjM9P3TXYfD5MT0+3fK+3Ei49VwFVvmlriytBcNUe4tWYkJfDdS3iP/nJT/Irv/IrfPGLX2xuUJ577jl+6Zd+iU9/+tPX81CuGEFd5V1bu/juyQUc16Viug06pM/B8XyTvhPU1KaJUVBXmvnEkizRHtGZKxlMLtVIhXUml2o8ez7LOxuaxnQ0wCfuGFzxc38sPbTi65Cu8JP7R/jDp0dxPI9dfQl29CXElMgWD3YRVRVgpD3Cu7Z2taQ6LZaEG7YsC71oNKiuMex6o0XHzXaThXQZH7FZuxrxciD0mf2pMHVLxKJ03GSat9XojAf5Zw9t5GtHZ4kGFH7yMp31mxnL0Wl3jLTx1GgFx/MZbg8zcImrsuG4K6QhiyWzKaHoiAXYv6GdswtlFFniwW1dBDWFnX2JV71m3765A0WWSEY0JISe7r4NV77BvVr3x/hSDVURkg7P9ymbwnNDNBZlNnRGWxba3zo239TKlwybl8aWuHPktSdho4sV6pZY7zxXRG7eSBiOu8KhOFM218hlIgGV3QPJV/3MbxsSMWU1yyUd1dneoETevS6NDxybLjCxVCMW0jBsh70DKfZvbF9BZaxZDn/YMCsDmC8adMaCbOuNs6kr1mSRPHc+S6ZsYjkedculZnvNyNJ9Q21Nk8bl4/3GsTleGsth2B6n58vMFg3u39jBX7w4wcRSlVhQxCF6vljfLv0t4yGVoCZj2B6aIt3w6K5CzW4W24Awj3wNbOiMcnQ6yHzRIKDJTa3sA1s7yVZMyoZDLKiya0Cs66ufnX3JMM+cz+B6PneNpNFVmY1dMd6+2WEsU6U7EeS2Fh4QX3l5psmGWywb/Mz961ZcQ8+czXJspkimbHAhU2VHX4JoQOWudek1nhL3rk/zxJlFfB/ev7OHp89lyVUtEiGNR3b3UjEdvn50tmmUZzoed460Cef6sM7x2SJTuTqaIjGZE5F5FdMmVxXJFTXLZSZf58N7Lw5CJEni+EyRFy4sASJSLKyr7OxLcGquRKFmEw2o7L0kdcCwXb56ZLbJUigbDvf3Xn3GluN6/IevnQDgU3cOvmWosa3wb967hSdOL/K9U0KOdaNYD6txbqGCp4Uo1qWWruuLpTq/9a1TzYHVv/3Scb7yi/vXvM5yXGqWC75PxbBJt1hj7hhK8cp0ER+xz3z7FTaHinWbb7wy1yyITcdb47lkOx5HJgvNYuhk41pfvfb1JEJ0xYV3RCKktZQZqYq8JnGiFeJBjT2v4iMTDajsGUxyZLIgGLmXYaj+q3dv5gvPjlIxXR7Z3XtDpWo3E3oSQbobqSLxoEr4LWB+uYy3bW7n8FSeC4sVEiGNj+7r4t+/wfe4rkX8b/7mb/ILv/ALDAwM4Lou27Ztw3VdPvWpT/Hv//0bPfQbhw/v7SdbMZnOVTk6XWpO3H1gIltG11Q6ozp3jKSFm2zVYqlioysyxZpFQBWu88vmOJIkUay9cYOK7X0J/svHd1MybBIhrTkdv3d9O/eub6dmORi2R6oRy9MKg+kwL43n8XxBIx1Or+wkHp7M89y5LKoi847NHQynI2t0djc7fuTuISQ9TDKkXbXYu5H2CCFNmBVGFJkNXTf/RuSudWm29cbRFPmWdAE+09CLDacjbOzrpGY5onC55NoOaQrdiWAzqm0oHW4WdZIk8b6d3dyzPk1AlYkEVF4cXeLAWI6gJvP+Xb30teh+B1SF+zd2cPtwG/GgetM0qQo1C10RVGHPh3hAIRJQ+ZG7B1Fk+bL3veG4yI0UDEWCbKX12pOtmJyYLRENKOwZSFE2HGQh16Xl6AKhtTwyWUCW4bbB1DW9zl7tXC/jmXMZDk+Iyc0Hd/e2NFRrjwb48f3DVAyHxCVrhCxL7N/Qzv4N7dQtl7rtXvYzrZgOlQYl0/d9KoZDtmoAKxkvjuezuz+J6bgcmxG0yWU9qdEiq3iuYGA4HqosGrdBTWaxZDBfqDfTCRxPuNinwhqpiN70P9nUFWfvQIqq5RBQZXY2ZETHZ4pkKyKiqJU281ohHdWFYV+j8TLS/to/W1dlfvj2AbIVg6fPZvm7g9N0xoJ8aE8vn7l3mGJ95bNvNRJhjQ+0MEy7bTDFxs4omiKvuWYc12sW8CC8FVZ7xCxHUi1nPhu20M0uf//8Qpn//eIEnu/zqbuG+Kn7RoQJY0TnQ3v6mC3U6UmGiARU5hqRtc33rtlkyiam7VK3ncbnIBz2Hc8npCkkQxr5ms1AKkQipHPXSFtTx2/YLi9PFjgyVVgRT1eoWUQCKj969xCTuSqPnVjkb16aaqbIVE2nWcAvHwdc/eb0X7w4wdmFCqmwxr9696bX/ge3MNZ1RPmRuwb5sxcm+I1vnuJrv3jfTaFjjgVVTFkkXxjW2nVntmA0mowiblVVWlOYwwGVrmgA14e2iEa2bDbZoMsYTAsvmGzFYEtXjMs+PF4DZcOmYtgsls1mbPNqSJJYM5zG76TK4vm4GvuGU1RNh7rt0p0Itpx6X028c3Mnmzqj6IpCR7z1PdUZD/Jv3rftVd+nbNh89chsc/3elXrr29PvGxLnynY9kmHBLH6rIKAq/MuHNjFdqNMR1fGs+ht+j+taxOu6zh/90R/x2c9+lmPHjlGpVNi7dy8bN268nofxpvEfv3GC+aKBbdvIcsOVvnEvVS2PimVhux67HI+lis1Uvk4soFKzHGzXpzcZomw4VEwH1xeTo61XSG/WVfmyzqdhXaWF6SYgNpqHJvLMFg2298aJhzR6EsEVm7qK6fD02Qy+D2NLZZ6/kGXfUIp3bO68arnB1wMBVSF+lSfl2YpFXypMNKgRDajkqje/S+jfvjTJk2cy6KrMT9430pIedjPjPdt6+LPG/4d0pWUzSZIkPnJbH8dnSsgSa/wPJElq0mdzVas5qaqaLo+fWuDHWuQUT+drfPXIbLNYfHBrJ/s3tF+2cLheWNceJVs1MRsU3ZLhMtQWoaOFi+6l2N6T4PxiFc8X0QoPbVs7GamaDl88ON2c2OerNvdvSvOVIzPLkcBrijDP83n04FTTp2M6X+eHbx+4Kr9rK1x6rhVZak7QlzFfNDg4ngfEVPHJM4trGE7LCKgKgejlGw5BTebYTJH5ksFwOsyuVfdOOhJga2+CxdICmYrVyJ3Ps7krTmdMaEL1BtX92HQBRZYIaQolw0ZCFIOrjQ4B1ndGyNcsPM/Hsl3qlmCa2K6gF9qaguv6xIJKwxnZbk7zuxNBPnnnIJO5Gl3xAEPpCC9P5nnyTAaAo1NFPnHHwAo/iWuJgKrwiTsGODVXIqQpa87X5aDIEvNFk+m82OAslAwOjOd45+bONc++fNXixVFxT9+zPr2moFjGE6cXOTJVaBpNXfr8VRWZzd0xzsyXqVkO/akw2iqpybaeONP5Gm1RnXxNTNVVWWJzV4xsxeDf/P0xZgvieE/OlfkvH9/dpNqGAyobui7qozuiATrjARZLIq2iIxbgyTMZjs8WCagKuiIx1B5FQlwP49kajudTtzzKpkvVMlY0p7/xyhxTuRpV02E0W2V7b5yAKn4nEE7j/+OJC83P8/hMkd//5F5SYZ2+ZIiZxnELk66VCRpvFksVk9997CwAv/Tw5suen7cS/tlDm/jyyzOcmC3xR8+M8nNvX3+jD4mK6eKqLobttWxsDqfDmI7bZM5cru8QD2pccAT7yHIVelvoxkcXK1zIVAGfQ1NFPmVfmY47FlQZX6o12Vetok5VReZTdw3y1SMz4MPDO7pb5tIPpMIYjkfVEulQrdZeEAyrpYpFezRw2eHV+cUKJ+dKJEMa96xPt9wXPHc+y4GxHLIk8cCWTnb2Xxkj9MXRHJlGqs35xQoR562vib9rnVjHi3WbTV3RltGCtyosx+PLh6eZKxqEdYV3bXjjdeANsdQeGBhgYODabe6uBTzPa2oZZ3JVTFfoJ7d1hZFUFckHz3UwXFlkwTsep+bK2J4rtJS+TyqkNWnYALbnUywaxEMaCyWj+ZC9Hjg2U+SZcxfNBN+3s2fNVGY5h9LxPGbydTRFxvfhmbMZdve/OgX5rQ7P94kGLuZBX4nR2fXEdE4UostUtD95dozf/+TeG3xUbwwHp3Kv63UigvC1NeurI+icy5zDF0dzFGoW5xbKDdW0OP8PbFmt/ru+UBWpUcCpeL4oBrb3xXn2nIjfu39jO4kWm+RoSGUoHaJqurRHA5yeq5AKB1nXEWlOzpcq1op4utlinVhAmHDmqhZhXaEvtXITVbNdlqoWuaolNn2+z/mFMrbns6Ex9VwoGWTK5lWbAL/auXb913d+Xw9enirw3HmxXl5YrBDWV5qEKrLET983QkdE55nzGXriIr3jB6NL+AgTMYD7N7bzI3cNsVA2GutqjWLdIRFWBS11FUKaygObO8lUTBZKBsWaTaghmQooMomIjiKJCDrDdglpCvNFg92Nx2t3g4q4jOUCDcQ1PFesN/++eW5SYRJhjWLdZipXoyMWWLHRX/5+ezTwhhsA0YD6mlFLrbD6XLZab33f58svzzQn/XNFo2WkaKFmcWSqIN7X83nmXGZNE/29O7pxPZ8DYzmWKiZfOzrLI7t7m1P7WFBlpD2M68EP3zaAJ/l0xoK0RXQOjC2Rq1pN9/tCzWa2UCcaVJkvimSXS3X4qiLz8X0DjC9VCWkKPxgT69y69ihnFsrs6Evwjs0dbOyM0Z0IMpWr8cq0mLTXLJegpjSnu67nc3SqAIjoxc6Y8Om5b0NH07fFdMR1J643icWSQaFukY4E+MhtwhhPV2WG0pGrrrn9v791mrLhsKMvzicv01B7q6EtovNr79/Gv/7SK/zX757h/o3tzbShG4V714uIuXQkQH/b2sJ7qWazoSNCpmKhyBJ9qdbr9fbeBKbtYjoe23ri1ByX8KqyIl938DyPquXQGQsxlTO4ffiNH3Op7rCxK0qhJlit4csU1T9+7zBv29SB78O6FoU+wJNnFpkv1jEdj1emity7vsbQKhZqtmI2G9lhXeGHbx9YQ8tfLBt885U50RBH3H+rU2uqpsOBxj3t+T5Pn8tccRG/es+y+uu3Kq5nbXQ9cXahzFxjOFSzXA5P5t/we1zXIv7/z957h1lyVefevwon59M5d8/05JxHORCEkMAKgJFJMrbBAePANRjbYOPrS7rmOtz7gY2xiQYkhCSCQEIB5TA55845nBwrf3/U6TOdJmqmJ6jf5+mZPtV1qnbV2mntvdb73nvvvWzevJlPfepTU45/+ctfZvv27fzoRz+ay+KcE770+NHywN8dK5RDdDTTYmGVna8xXtCpCToxTJPRjMpYpkimaIfsBNwyCJRJPfKKxpGhND6XTCyn8quDw1zfXjlnMiuxrDrtswJMbSghj4NNrVFe7bSlMVpKDL6SJLyhHXiwB68jwxlG0wohj4P1Z+E0XkrkNWNKh1+cxWG43NF6jgzSZ0JVwMXqxhD7+lM4JOGURE4OSSjngoMdZj2evfQMqcdHs4R9TvIlZ9spi7zaEeOFkrP5ywNDfOneNfinyQNN7PxKJa36ff1J0kU7NeG+zc12dE/AWdbBBmiMeBAEO/8+ULqePC1M0SOL9CcK5R1In0tmgn2zIexhXVOYxw4MYVngcojc1HBxUzrqQ26W1QU4PJTBKYvc8Dp4DGbrL6fn8jokkbXNEfoSJx1lRTfLO54AO3sSbGyNEvE5eeXEOMNpBcuyKGgGXsfMHZzGiIeIz2nvWFqgGXY4vYVgOQABAABJREFUtWlaFHQTn2ExnFVIFTRcsshQqkB37NR9UVPEy/ERe+dMEoVy+kjHWJaf7x0qKa6IvH1lHb84MISi2Xrs71hTz8IqP6m8xve39VLUDAQB7lxdNyes2ytKqicjaXvRe2PLzIUA1TDLDjzYiw2aYc7YGZNEAaGUTgKzS6EKgsBIulh2trvGc8RyKlUBFzt74vxkzyBHhzO4HRL9iTwf2NpanuBHPE4U3V5UQbAlKR2SyPdf6y2rhLx7Y9OUhRGnLJZ5E+yJnEXHuG0nw7Q4OJjmulI+dVPUi9cp0TmWKxN7NZZCTH+6d8Be7Cm9B49DojuWJ6+N8N5NTTgkEZcsYlon2bDrQm7CJQZvW77z4tjz2aOjPLSzH0GAz71z5WURVj5XePfGRp48PMKTh0b4w//exSN/eN2shIpzhe5YHsvhYThdRDdmOoINITcVfjeSZPfRs+16A6SLKulS6klfojCr1O6hwSTDGaWko56leJ478ZV+F0G3o9xeT7UQPKGUdDocG8mWI8Y6x3NTuFUmcHAwXV7IzqsGh4fSM/LZEzmt7MCD7fhPhyTaEqMT58mvo95vbrNlVTNFnfqwm/aq+bz5KxnT51Dn0yfOqRP//PPP83d/93czjt9+++185StfmcuinBNM02Rff8r+3bIH4eYKLwICPTE7LFUS7TDdW5dUYpgQy6mMpBW6YjlSeY2mqIemqJeWqJeWCh/posaBwXRZxzhd1OZUJ7W92s++/hSmZSGLwhRd3Mm4flElG1oiHBvJ8FLHOJJghx++0eF2SPzW5mZyqoHXIV32GrcLKn2sbgxxYDCNLAq8dcWVZ8PO0fwFv+abltVwzcIKZFE8pdzVjYuqGE0r9CbyRDxOQh5HecJ9KeEryXTt609imnD3+gaeOTJa/vt4VuXoSGbGTvXS2iAHB9NkFR2zlGML9qR+JF0sOQky79lohz77XDKrG0IcGkpzXXsFffGC7UhN21Et6CZ1ITcCNuO7vetrxy4MJAswyXFSNJO++JmJzV4PBEHgbSvruHFx1RRFjfPBomo/hwbT5f6/rWr2Se3CKh8rG0IcGUoT8Tm5YVElD+7oR9Xt0NXJeZx5zX5fOVXH55TJazNzU1sqfNy1toG+RJ63r6rlhePjHB5KI0u2nGlO0dENC9O0nW+nJJJTTz1JXtMUxuUQGc+otFX5yuRJx4Yz5Ummopm80hErh9JaFhwdzrCwyk9XLFee2FoWHBnOzIkT75Il7tvcRE61ow1mm+y4ZIm2Sh9d43bUw4Iq36w2D7gd3LykmpdOjOOSxVOOZ16nXM6Nl0QBd2mR5fBQhljWXnyxVQaKdMVyZSc+lld509Ia9g+ksCyLezY0klP18iKqViKFnC2MGez+Jp5TMU2oDboJeRwUVAPdtHCWnrvC7+LdG5s4MZol4nOwoj5EQTXoHs+zuCbAcKrIsdE065rCiILAeEZhPKtQF/KQVw3Wt0TwOCUsyybqvNjDV6ao8emH9wPw29e2nVWk1NUEQRD44j2rODyUpieW5/e/u5NvfXjTrOzqc4G2Kh9JTSbgkmY4EmATOP/9XSv56Z4BPA6JezY0znqdgMtBS4UX3bCoCdpyj9N5UAZTCiJgCXZY/nPHxrlvkorI2cJT2g0/NJTG65ReVzpgc4WXvngeRTepCbpmDdH2Tdvp986yQNEY8eBzSeQUu0+cbV7gdki8aVk1zx0bwyEJvHX5mcnyToWoz5bAnYgOGBgYOO9rzePSY3F1gO66PMdHMlT4XWxum31ecTrMaQ+SzWZxOmeuPjocDtLp9Flf5+Mf/zg//elP6enpYffu3axduxaA48eP86EPfYjx8XFCoRDf+ta3WLFixesutyiKVPidjGUUBOwdpomdgPGsUqbpqAu5+ejNi8gpOt98qQu/20FbpY/htB1CZ5XC7I+PZiloOnVhW/dXFARumePQ3Kaol/s2N5XLdqq8erA7zzVNYdZcQXnwc4EJqb8rAbIk8om3LuHEaBa3Q7ysNGtPBRFbLmYC1y2q4J8uwn3ONJGK+Jz83o0LeO/mJrrH84Q8jnPWlb4YaIp6ySk6sigS8jvYuqCC/QOp8g6bLArUzxLuXB/2lFmSj41k8JTqsCwKBD0nJzNRn5PrJu08LKjysagmSE3QgyQKrJ7GN+CWxSkkY6phh+uCPZGpDboZmLQrPVf5sBdiotxa6eM3NzUxminSEPZQcYr+Uigtck52DK9vr+Dfn+8sRzGkixpBt4OGsIew11l+D42nIOxprfSV86knNJaPDKf55f5hKnwuJFFAN03cpcXE6fn607G0NgjT5pHTw0Sbop4p7PETu4bRaTab/vli4mz623esqefocAZBmH1CPYG1TeEz8rq8bWUtTx0eQdEMtiyoKE/0oz4nLodELKeiaCaSAMlJGs/RUuTEDYvsyI8V9aEZu2+R07y3SGmi3hTxsn8gVbpGcMYi4/RUCZcs4nfJZBWdhogHw7IlvcCOJpoov9shEfU5yzKZFX7nRY2ssyyLv3x4P0OpIi0VXv7itiUX7V6XMyr8Lv7r/k3c+9WX2dYd54P/uY3/vH8TIc/c5/j2xfNooptkQWDLKSKya4Jufu/G0+fvV/pdZZlCZ6n+zTjH5yxFetpYUX/+c4/ItDHpfHF9eyU5Rcey7Ii82Qht1zVHSJRSYZqinhnjHdi+wH2bm884L1hZUo+6EJBEocx7Mo8rG6Io8LaVtbxtpT0gn4sfPIE5rQmrVq3igQce4LOf/eyU4z/84Q9Zvvz0rIyT8a53vYtPfvKTXH/99VOOf/SjH+UjH/kI999/Pw899BD3338/27dvvyBl/9RtS/n2q91ohsXtK2vK4bQ3LK7klwdGcEgCH9raiq6beBwiv7G2ge1dcXxumd9d0EYyb7NqvljKQ/c4ZFqiMjcu8hHxObl24Zklni40qoPueRmLNxDcDumCDSRzgbvXNfDTvQOYJiyr87Oo9tKWPeB2nHcu28XAkeHMFCfwwECKP33TYr7xYieZos4dq+qom2VyMtHXxHMqtyypYiyrkld11jSGZ0woJ0u2eZ0y79vSzHBJd3u6Ey5LInevb+CVEzFkSeDdGxrZP5BCNUy2tFVQFXAhCgLDqQJLaoNEmCltdDljutN0tsgohu04Y5OgHuhPcW17Je9cU0e6qHF0OMOS2gDvOINm+gRM02JpbZCcYtAbz3HNwgpM0+TAYJqFVX5unZaTORsM05qym72pNYphWoxmijbrcWOYkMfJibEMVX53OY+9ucLLW5bXcHgoTW3IzZYFcz9unQ6SKJQI2c4fE3U+6nPOSsx469Jq0gWN3lget0OkMeKlv5RCYpoWi2sCZJfo9MRy1AY9ZRm3omYykMzTFPGeVRnfvLyGZfVBLMsq8+hMbo/T5RRFUbDbX0cMURB476Ym9g+kKGgG65sjZQdLEgXuXtfIK50xJEHg+gvgFJ0O3365m8f2DSGLAv/nPWuvOHWbC4nFNQG+9eFN3P/N7ezoSfDO//ci/99vrZ/zcbk26CahCgQ8r4/w9+2r63jx+BiKbrKpNTqrGsk3f3sDH/rmTsazCpvbIvzxmy69IsGyOptwNKvo1Ic9s0bsTJBengmXw7xgVX2AIzEDQYQ3n0X/P4+rB3PqxH/mM5/hnnvuoaOjg1tvvRWAp59+mh/84AfnlA9/4403zjg2OjrKjh07+NWvfgXY+fcf+9jHOHHiBO3t7a+77E0VXv7mjtkXGrYusAfB773SzWP7h3HIdq5h93gel8OWetrcVjFD3qytys8718yUv5nHPOYBOVVHEkVEEYq6dcpw9zcq3NNyqN1OiajfySfftvS035Ml8ZT5/5Px3LExdvcm8Dol3rmmgdqQG7dDKu8Kz4ahZJGeeB5JFFhSG+D2VScd04Fknh9u72Uso7CkNsBvr3l9ztaVArc8005gR3h9cBY1hFNB1U1+smeA/oRNRnfX2oYpYcnXnkXOf7qo8ejuAWJZlYXVfu5YVYckCkglOb3JWNUYmjE5VXWTH+3s58hQmkq/kwVVPhrClz4q5UIgq+g8snuA8YxCW6WPO1fXzSpJ6nZIvGV5DcPpYjk9xLLgu690M55VWVDl487V9TP05ze3RYFzI/WbvEP4wvExdvYkkATbXopu0hz18s619WUnpNLv4h2T5hSzLeKBvfs4F3OPpw6N8D8fOwzAX7192RsujH42bGiJ8sOPbOUj39lJTyzP3V99id+9YQF/fGv7nIXXP3N4hCwuZFF4XVwzfpfM21aefvGxMuDlsY/fcN73uFio8LtOGVF1pUE1LeTSOJPXrjy+o3mcP+Z0VvyOd7yDRx99lBMnTvCHf/iHfOITn6C/v5+nnnqKu+6663Vdu6+vj7q6OmTZ7gQFQaC5uZne3t5Zz1cUhXQ6PeXn9WAoWeDn+21ioGRO5Zel3wuqwbdf7gbsAfmahRUE3DINYQ83Lzl/oqV5zONqx47uBBYWlmUxmCxwfOjK2rm92FhSE2BtUxi/S6at0sc1F3BXdDhVZFdPAsuy5feePTp6xu8UNYNnj45hmBaqbvLEwZEpf//vV3vL8jhHhzM8cxbXvBqwviXC4poAfpfMsrrAeedy7u1PlknyhlNFdvacO5Ptqx2xMklfx2iWI8PnNu49fnCII0P2d8azKt97Zfbx9UrEa50xxkv1s2s8x6GhU7+bCr+LmxZXEXDL1ATdBNxyOTqvcyx3zu/1TBhN23KJlmWTEO4o2b43ni+H3F9ueO7YGH/0/V0YpsW96xv57etaL3WRLhusqA/x2Mev57YVNWiGxdee7eDNX3mOh3b2zwnjeFY1wLIwTIsnDo2c+QvzuKzRl8hjWRZglfm75vHGwJwnVtxxxx3ccccdc33bGfjCF77A5z73uQt2Pd2yTq7KY8sZjaSLiIKAZVl895Vu/G6ZNy2rYetlFoI4j3lcjjBKkwywc+NVc36FeTIEQeCWpdUzJG0uBCYz7sJJia9vvtTFzp4ENUE3H7+1fYaEncXU71mWVc63nT45NWfyuF2VcEgid8wSKm+YFs8dG6U/UaAx4uHmxdWnJcicLqs23UZng+n+wbnaYPr5/Ykc33mlm0q/i6WBK7t9zng3Z3i965ojrCvttj9+YHjqdye9p5dOjNMxlqU64OLWpTXnHFF0ZDjN04dHOTSUZkGlD8uiNGG3YZ1HPbiYsCyLH2zr4zM/OYBhWrx5WQ1funfVG17RZjrCXif//oGNPHlohL/76UEGkgX+x4/28o0XOvnU25Zy85Kqi/rOBMFmLLnYiwZFzeDpw6PEcwqLawKXXQrO1QDTtDBFCyzbF5nHGwdzuhO/fft2XnvttRnHX3vtNXbs2PG6rt3U1MTQ0BC6brPJWpZFb28vzc2za5F++tOfJpVKlX/6+vpe3/0j3nIuotdh77RrhomiG2iGxXhWpXs8z9OH51c95zGPs0F1wIVl2ZNplyyzsOryJ+O7WlAXcpfzdp2yyI2Lqnjh+BiPHxhmLKNwYCDFf73UNeU7bofEtQsrEQQ7n3D6JPS9m5oIluTpmiu83Lz04ubiXu7Y259kb1+KWFZlb1+KPf3J056/pilMVcAO/4z6nOcla7mlLVqWCGyMeFhad25t6q0rak5KjQoQ9bmIZVWODmfKu8NXKja3RsvEjvVhN8vrzj7dY/J7bZj0Xo+NZEpa8yqHhzJlveizRaqg8cSBEVTdxC2LdIxlaanwsqohDNjkY5dac3wyRtJF/vC/d/FXj+zHMC3uWlvPV9+3fta0hHnYeMvyGp7+xE385e1LCbpljgxn+O1vbee9X3+V3eehG302cMsilmU78rcuubg51C93jHNsJMN4VuXljlhZPWIeFw4eWca07LSeCu/VkSIwj7PDnO7E/9Ef/RGf/OQn2bJly5TjAwMDfOlLX5rVwT9bVFdXs379er73ve9x//338+Mf/5jGxsZT5sO7XC5crgtb2e/d0Eh10IWiGfTFC+imRV7R6YmflMbKKlf2bsU85jFXqA150E17Nz7ic5IuztRyncfFgSAI3LailpsWVyGLArIkzgjfThZmSpltbouypimEgDBjx7Em5OY9m5pIF3RuWFSBmo5d1Ge43JEtTn1/OeX0+sluh8T7tjRT0GyZtfPZpYv4nHz4ujYU3cTtEM/6GsdGMnSMZqkMuPjiPatJ5jV6YjmePTZWPievXtljW8jr4LevbT3ndwOnfq+ZaTbOnsHG05FX9XLERUuFj/GszSexuilMpc91zuW8WBjNFPn2y93854tdFDUTWRT487cu5vdvXHjZy69eDnA7JH7/poW8d1MTX3u2g2++3M1rXXHu/urLvH1VLf/jrUtOKQN8Prh9VR3DeYGI18Hi2ou7OD69DZypn5vHuaO5wkvGdCCJAtWBeSf+jYQ5deIPHTrE+vXrZxxft24dhw4dOuvrfPSjH+Wxxx5jeHiY2267jUAgwIkTJ/j3f/937r//fj7/+c8TDAb55je/eSGLf1oousGPd/aTVw0sy2I8p1IbdOOURAKl1X1BoMxUO495zOP0qPQ7OTFq58Fblr07PI+5xWS24RsXVfH4gSESeQ1ZFLjtFMy9Lnl29umf7xsqS8w9ukfhLc1zL610OWFFfZCDg2mKmoHbIZ3Vzq8gCK+b/EoUhXNiCO9P5PnF/iE7XWzYbo+bWqO4nSK7+5KkCnZ9WF595RMVnuu7OdN3l9QG2N2bIFPUccriObNYVwfcNEVtTeuu8Rx+l8yxkSzdsTwfvKYFQbh0TO+qbvJyxzgP7ezn8QPD6KWw7A0tET73zhVXlBLK5YKw18mn376MD17byj89eYwf7+rnF/uHeeLgCPeub+B3b1hwWunEs0VfPI8hexjOKFzs6Ou1TWF6Y3l00yLsdbDwAi5GzMOGLIpomolmQIVv7mQ/53HpMadOvMvlYmRkhAULFkw5PjQ0VCakOxv8+7//+6zHlyxZwiuvvPK6yni+yCkG6YLGWFZBFASqA06W1voJeBxsaY0ynFbwOqWrhg1zHvO42Giv8jGYLFDQDDY0h8irb5Ak6ssMmZIMms8l8+V3rebQYIaGqIemyOlZjQ3T4tBgGtUwWVEfLJPagd1f5tQ3dohthd/FB69pIZZVqfA7L4r270i6SG88T23QdgbPBaOZIj2xPGOZ4pSJ/mjatqPXKfNbW5oZTSuEvA4ysflUsenwu2Tev7WF0bRC2OcgnlXZ3h2npcJLdeDMi5K2HFwDXeNZvvlSN4ZpE32qukkyr5W13+cKRc3ghePj/HL/EE8dHiE9aZd1Q0uE37thAbetqLksogOuZDSEPfzju9fwuze08b8fP8rTR0Z5cEc/D+7o59qFFdyxuo5bllRTF3Kf17uuD3noy0HE40S8yN1wS4WPD17bSiqvURNynXKRdx7nj5X1fg7GdBySyMLq+UWSNxLm1Il/61vfyqc//Wl+8pOfEArZq7TJZJK/+qu/4i1vectcFuWCw+eU6InnGcsomJZFb1xEFOzeUdVNbl16Zr3JecxjHiexbyBNbykV5ZXOOO9admpps3lcHBQ1gwe295VDIje2Rrhh0dmpajxxcJijpZ3bQ0Np2iq8HB3JArbEVcD9xnbiAXwu+aI472Az2D+4ow/DtBAEuHN1He3VZ7eLN5ZReGBbH7ppUVB1FMMk7LF3eBZUnWyHbodEcylHfl47YnZMvKPDQ+kyAd6rHQLv3dxc5jg4E17piFFQDQaSBTJFnXXN4bP+7oXAM0dGeerECX59ZJTcpLSJqoCLt62o5b2bmy6r3PyrBUtrg/zn/ZvY2RPnP57v4olDw7zcEePlDjsVqSrgYlG1n9qgm5qQm0q/i0q/kwqfiwq/kwq/k6jXOYOT4NWuGJbDQ38iz6Lai+/0hTwOQp43duTVxcSO3hRpwx5H5tnp31iYUyf+H//xH7nxxhtpaWlh3bp1AOzZs4eamhq++93vzmVRLjhyqkFz1INlgW4YU1aoO8dy3Hp66eZ5zGMe01DUDPwuGdO08DolhtKFS12kKxqZosZ4VqUq4MJ/lo7jWEaZktPYNZ47ayd+MoHReEbhjpW1tFT60AyLpbUBxkeGzu0B3kDIKjpjGYVKv/O8d1t7Yrky87Rl2ePQ2TrxfYl8OTza45RZGHbTXh2gyu8qO+3zmAndMBlIFvA4JKqDU3faJ7cH3bToS+TPyhFPFex22xT14nVJWBa8d3PzlFSXi42f7x3gqQ57Aa4+5Oa2lbW8fVUd65sjSPM57xcdG1qibPhAlL54np/tG+SJA8McGEwzllGmRDjNBkGAiNfJdz68mXDpWNjjoChIuGSxLDk5jysXTknAK8mIAijafMTiGwlz6sQ3NDSwb98+/vu//5u9e/fi8Xj47d/+be677z4cjit7lc7nlOhPFBjPKhimNWVgmz6Yz2Me8zgzHKJQJoKSFJFq/3w7Ol+MZor8aEe/zXLtkHjPxsazSu0Jex04ZRFVtycGZxMCPIHqgKusa+53yQQ8DqLz6URnRCyr8OCOfoqagcsh8q4Njef03idQM23cmf75dKgOuBAEymH07dV+NpwHG/4bCYZp8fCuAQaSdp2/aUkV65tPvrOaoKscmSIInDUBld8l43NJ5BSDCp+Lpqj3rBfhLhTuWt/IwgaV21fVsaYxNB8uf4nQFPXyhze384c3t1NQDQ4NpeiN5xlKFRlNK4xnFWJZlVjO/j+eV7EsiOdUO+KnaF8nWdCwHDJFzSTgmg9vv9JR1E3ypj1XOpd+fh5XPuZcJ97n83H99dfT3NyMqtorgL/85S8BeOc73znXxblgyKsGtUE3lmXnsdWG3KyoD+JxSmxui17q4s1jHlccVjaEyKoGmmGypDZwRt3meZwah4cyZUe8qBkcGc5wXfuZnYiA28E96xvY35/C75LZdA592Z2r63mtK4ZmWGxoieCYl5k6KxwZzlDU7JBlRTM5PJQ5Lye+tdLH21fV0TWeozbkZs05kKo2RrzcubqOjrEcVQHXPCHrWWA0Uyw78AB7epNTnPj1zREEQWAso7CwykfjGTglJuCURe5d38iu3iROWWTLJZhP3Lioijs3XPnEhVcTPE7J3qFvOXV9MEyLeM526hvCHkaHbYWR1Y0hRosSfrfMorOMzpnH5Yt1TWE6UiaSKMwTSr7BMKdOfGdnJ3fffTf79+9HEAQsy5qyomsYV65EjdshEfQ48JSYgysDLt66ovYSl2oe87hyURlws6nVnqDIooDbMe8Eni+m79ydy05eXchDXchzzvf0OCVuvsgaxFcjXo+tpmNJbYAl5ykh1V4dOOvw+3nYRH+iIJQl4fzuqXYTBGGKU38uqPC7eMsp1CDmMY9TQRIFqgKuGWkbTREfi3x2LnzIO89mfqWjMuCiptLmKol4r+yo5nmcG+bUif+TP/kT2traePrpp2lra+O1114jHo/ziU98gn/8x3+cy6LMwMQCQn9/P8Hg+a04r6+02NWTwCGJrI1W0t/ffyGLOI9zRF9fHwC9vb2Ew+FLW5h5nDNWRwxejqVQDJN1zWFipRzqeXueO6oEiwZHnuF0kfqwh4iVob8/e0nLNN8+Z0fEsmhyFRhMFqgNuqkSsvT35878xUuMeXvCugqDvf0p3A6RlWHnFT8HmLfp1YUJey7w5hkpqIS9Ttq8riu+nr5RMWHPNWGDo4kEsiiwvnne97hSkU6ngXPb0BYs62KrRJ5EZWUlzzzzDKtXryYUCrFt2zaWLFnCM888wyc+8Ql27949V0WZge3bt7N58+ZLdv95zGMe85jHPOYxj3nMYx7zmMcbE9u2bWPTpk1nde6c7sQbhkEgYIfnVVZWMjg4yJIlS2hpaeHo0aNzWZQZaG9vB+yVrfPdib+Y+PWRUQ4NpsufN7VG2bwgys/3DtITs2W4Dg+nqPS7qPK7OTCYpD7sIep18a1XuhAAUYCCatIY8VDpdzGYKnDToioiPjvU6oPXtjCeVfjId3YAoGoGyYJOpd+JKAo4JJFf/MmNbO+M8/89e6Jclgqfg6/85jr+4ke7eerwGACWZeGQRe6/po3HDw4xmCwyQabbXh3ke7+75ZzfwQ+39xLLnGRSvXNNHS0Vp5Yd6+/vZ8WKFRfFpiv/9okZxw587rYLeo8LiRePj/G5nx0sf/Y4ZH76x9dfwhKdO85kz+u+8DR5VUc3wQIckoBhWjNy6f0ukYDbwcJqPx2jWRJ5DU03QQC3Q0QWRGRJwCmLtFf72dJWwf3XtQGg6AbfeL5ryvV+78YFOOUzh/rv6onzSke8/HlxrZ+3LJ+acvPtl7vIFk+uwt67oYHa8whlvxIwmz1f64ixoydRPmdVY4gbF9ts+N96qYucYvD8sTGODKcxLdvOogBep0Sl32bdTxc1Wit99MXz9MTys3IpOCQBj0OkrdLPtQsrAfjdG9umaBg/fXiE546N0VvqXxsiHq5vr+T2VXUX6Y1c2Tif/vaer75E93iuzIQf9shIooiiG2imha6buJ0iUa8LC4j6nCi6iaqbRLxOBAGub6+kqJns7k1waChFXjWwLLteCIJAwC0jiyK6aeJxShimRaXPxVCqQNTvIq/qGKbFm5bVEHDZHBB14auzzZ0rLuYYOoFvvtRJXjnJqP2ejY1UTSPn+uX+ITrHTkaj3LC4ktWNYR7Z1c9gslg+/tThEUbSBQqaiWVZ+JwSVQE34VLI+HDaVg7IqwZ5VceybGUhhyQQ9TkRBIGagJtEXmEkXcTndCCKEPQ4EAWBZP7k/MOy7JShitL86UPXtuBzOnj2+CiHBuy5WpXfybL6IB++fsGFf3GnwWCywCO7Bsqfgx6ZD1zTOif2nMfcYcKeDX/wLUTXSY6Ny3kueq74q4f3TWnjH7q2hVuuEsnuN33l14ykT/Ypopqn56v3l/3Rs8GcOvErV65k7969tLW1sWXLFr785S/jdDr5+te/zoIFc9vJTYck2ZO3YDB4WXZuK1pFutJmaXIisLy1hmDQw/JWk5HiKAAN1TJBtwO3Q6KxWibqc+CUJaqjERJ5FQFwOywqogGcskSdw0tVRQRZEqkOuqirjFJbYVJXWcFYtojotPBIOs5Sjs3SOvvdrGt3E9kzVmYOX7eoimAwyL1bFvNcdx7TtLAsqIt4cPv8LGqoYlyNM+Hm3LSy+bze8fLmWrZ3206QzyXR3lCNx3lqZtWJe1wMm7o9XtRpSh6XY72ZwDVL3ESeHyCjaAAsb4pc1uWdDWeyZ3tjFQcGUkiWPcGK+p2kChqGaWFYMMG+4fM7cTkl7trUzn++2EWBIqaqI4sifreMKArIooAgCDTXVLK8pWbK/RY2Zhkosa43RDxURsNnVf7lLU72jWpl2a8VrbUznmNFay17+2yd16DHQUtd5RTH8mrCbPZc1ipzKKZjWra2uf3u7dzNZS21HBhI0d5o0Zk20Q0TwwK3LBD0OgkHXDhlCdlt0lITJG85GS7YzPrT/XiPSyLkcdBUE8bt89MQ9lAVnZqvvLJV4NC4xkhBxMKiuiI0q83mYeN8+ttNixoYyA1glUgXa6sChD0yJ8ZyoBkIpkXE7yLscaBbFlUhD5phkilqOGSJiNfJpsUNHBnO0KSKdKUNdNlAN0xkUcDlkPC6ZNwO23n3OSWyqoEv4KJa9uB2ioiqgYBANBwm7HXQWn/1trlzxcUcQyewrLmWg6UNirDXQXNd5QwSzBWtFoP5EcBegFvWXEPQ72JFay3x4+MAuBwiGxdJPHNkFLVgj3Ner5PWuiB5zaQ26CJnpXE5JCTNwA9kChpqXsMhiYRDHlqjPlKKhulwk9IdRPxO8ppJQ7UfSRCwEnnyqoEoQG3QbS8AlOrX5sWNWMC+MYVAxqKomVRXBljWUjnnfYbT46OqIleWB13eHJ5iw7ma58ayCt95pYdnj47Snyjgdkgsrw9y5+o6bl9Zd1aL3/M4NSZsKLq8U5z4q2mM2rCogbEDwwDldhYMXh2LrHdtXMh/vNRT/lwbdtPDSX/0bDCn4fRPPPEEuVyOe+65hxMnTnDnnXdy7NgxKioqeOCBB7j11lvnqigzkE6nCYVCpFKpy7YB9MbsnNam6FSiqROjWeI5lQVVPuI5lWReo73Kx0hGIavoLKzw8M/PnCCWVfmd69voiRXIKRpvXVHLYKqIYZqsqA+VdWdH0wX+68VuZFnkN1bX8eCOfnwuiY/e1F52mgeSeZ4+PErU6+Ttq2oRRbszfnRXHz/c3s/Caj9/8uZFdI/nqfQ72dOb4KnDo2xoifA7N5zfgo1lWRwZzpBVdBbXBAh5Tk/g0d/fT1NT00Wz6eK/egzV3sCl64t3XPDrX2h0j2f571d7CXocfPSGBThPswByOeJs7Pk/HtxDXyLPqvoQC6r9KLrBnr4kQ8kCEa+TJTUBsqrBdQsredPyGjrHsvz3az2MZxQawx6W1AURBBhOKYQ8MsvrQyyvCyJOkoxUdZMDg7ajvbI+dE4TkZF0kZ5YnuqAi9bKmVEklmVxcDBNQTNYVheccympucSp7DmYLNCfKFAXctMUPTkxMU2LQ0NpiprBYKLAQ7v7MXWLre0VbF1QwUCygKqbrG8OE89rKJrBcKrAI3sGUDUThwSqCc1hL9UhN1vaooS9TixObceeWI6jwxlMy2JxTYAFVf65eDVXJM6nvzVNk//36xO81hmnOeLl7avrWN8c5kc7+tk3mGJ5bYDGiJeibuB3O/A4JKoCLgYSBYZSRdY1h1lWFyRd1Dg6nKE3luPYcIZYXiXkdbKqPoRm2Dv39SE3imGSVwycssjy+iA7exKousHCaj+SKF71be5ccbHHUJjarpfVBW0ptFnQOZZlPKvSWumdotZwfCRDIq/RXu0n6nPyjRc62ddvRyKuqA9SE/SU5RIty6JrPIffJVMddHF4KM1IWsEwTNY0RXjzsiq2dSfoGs9RFXAyklbxuySaoj4iXge98TxHhjLUh9ysbg5zYiTLcLrIzUuqylGBQ6kCx0eyZIoazVEfK+qnjh9zhUxR48hwBq9TYnldEEEQ5sSeE3h4Vz+fefQAOXX2/N7WCi9/fcfyS07YaFk2g38ir5EuajglkYBbpiHsQb7MFVUm7Pm5H73Mf+2wN7h++OGtbF1ccYlLdmHxxIHhGe3sasFfP7yPXxwYoiXq4zsfXH3OfuicOvGzIR6PE4lELrnu6JXgxM/j3DCXA9Y8Lj7m7Xl1Yd6eVxfm7Xn1Yd6mVxfmwp6WZfGlx4/yb891ALCyIcj917axoj5IVtF54dgY39/Wy3jWDiO+d30jf/vO5QTdF59VfTRdZF9/iqMjGU6MZukYy9Ixmp11ocEli6xsCPG2FbXcvb6BSv+ZJVnnGvPt8+rC+fihl3zJORp9Y2qo98RyDCQLNIa9NFdM1Ys1TIv9AymKmsGK+iCBSZ3bcKpI53iWKr+LurCHAwMpsCws7Bze1Y0h+hMFDg2m0E2LxrCHg0Npiqq921ATdOOWRUazCq0VPupLuX+DyTxPHBzB45BorfQiCiL1YTe98TyWZXFiNEc8p+B2iNQEPVQHXHSMZckrOqIg4nWJLKoJsrYpXN7RnyirLAropkXU52RpbZCDAyle6YzRFPXwlmW1l2SV+kJg9d8+TloxcIhw/POX/078z/cM8KUnjuJzyXz3w1uoCl5+g9JkGKbFvv4kim6eUvs0VdB48uAIXbEMBUVH0S0W1/jpTxZRNJ2w28HxsRxL6oJ8+NpWdvQk6BzPsbElwtrmCAPJPE8cGEEzzHKd9rpk2iq9mCY0RLysrA9ydCRDX9zOjW6O+lheP7OD7Ryzd2VaKnw0TMupHUwW6I7lyCk6PpfM4prAJZ0UHB3OEMsptFf5qQ6euwb5XGGiLzw+ksGwTPrjRfb0JrCwWFjlZ11zhDcvryGeU/nXp48zki5y5+o6VjeGSRY0dN3koV39OEWRt62swed2UuF3MJ5VqQ64aa+2d9ZPjGYZzRRprfBR0AxG0vbvx0YyHB/NsL45yqqGEPsHkhgmBNwyibxKc9R71nrfb2QcH8nw3LEx6kJu3r6qjo6xLKMZhbZKH6m8xksd4zhFkf5kHkEQeP/WZhrCXrZ3x/nFgWFqAy7et6WFgMfBocEUvzo0ggDctqKWyoCLYyMZIl4ny+qCHBlM8rXnO5EFgd+7cQE51U69WN0YnhRJVmB7VwzDtNjYGqWlwlduo9UBNxGvg2MjWVyyiKobOGSJ1Y2hcph3PKeW21DU62RRTWCGjBdA93iOwVSBpoh3SlTJPM4OHWNZnj0yitsp0hr1EfG5pvS9I+kiHWNZKnxOdNNiV2+CeFZlZUOIoNvB/oEkC6v9XLewElkSMU2LVztjHB5KY5gWibyKKAhYponTIVMfdpMs6EgCVPldCCIsrAqwsNrHvn47+mp1Y4iO0RzJglrux/Oqzv7+FLIkUuF30DGaI13Uaa3wsroxjCQK5fEsr+oICIiiwKqG0CkjD65U/O8nTjrwf/bmxXzs1nakSXO8Ta1RPnLTQv7vM8f5j+c7+fGufl7tjPGv9609reb9ucI07ai2F0+Ms6s3wb7+JCNp5ZTnB90yAbcD3TRJFTSKmsnOngQ7exJ85cmjfPCaVv741vYp8/HLBf/9chdfeb4fURD4zofWsXXx1cPbYhgG//5CJwOJAnevbWBj29UVZfBb//Ey27sSRLwOnvr41nP+/iXfib9cMJc78V3jOX6yZwDLAkGAu9Y2TAmtfeLgcJnELuhx8IGtLThlkbGMwg+39aKbFqZlUVANPE6J/QMpfE6J9uoAXqfEeFbhwEAK04LxjIJTFskqOn63zLqmCAVNpznqQxIFfnNTE26HxKce2ksirzGeVQh5HGxui3JiNMuiaj9PHxlFN01iWRWXLOJ2SHidEgXVKOfFhzwOlteHuHZhJfdtbmIsq/DDbX1kFZ39AylaK+wQuJYKL4/sHkAt5UDeta6B+zY3X5T3fDFXKdf+7eMklZOrtxLQcRmH1B8fTvO2f3kBo9TaQ26ZvX93eZOfPH5giMNDGcCuX7c0Sixoaynbs6gZ/O/Hj7K9K0ZXPIeimTgksZxPLQJ5zcTjkJBFgYXV/vIkXBYF/uiWdr75UhdjWYWRlEJB03HKIpYFLodEY9jDioYQIY+DvKpPmcTdsqSaLQtODiZHhzP8Yr8tgScKAu/e2FheIBtOFXlgex99iTx98TwLq/w0RDy8f0sLoUug6bq7N8GzR20CSockcN/mZiouwYLC2bTPxw8M8+sjoxwdTtOXKJApqmilZieJAouqfWxsi/JaR4yeeB7LAocksqrRToN4aGd/idzQwueSeevyGvoTBVY1hJAlkbeuqEFA4ImDds5dLKvicoj4XTIdY1n6EwVcsogoCGxuiwACsazCQLLA6sYQoiDyro2NMxZt3og4lT374nn++pH9KKU+f01TCI/DdlxSBY0jw2k03eToSAZJEPC7ZZqiXj50TSv/8vRxMkUNQRDY2BLhvs3N/NtzHRwbySAIArVBF2saI2VN9vZqP//nV0cZz9qTda9T5s419fhdMhV+J+/b0sJIush/PN/JoSF7jF1cE+Cda+t5pcN26lXdoKAZJScwRcTrpCnqZUGVj99Y20CmqPHdV3voHMvRF8/TEPawsNo/oz2fGM3ys72DgD3O37u+8Ypz5C/lTt9QssCnHt5HrqgzUlrwWd8c4ZqFdvrMeFbhB6/Z86H+RJ5MQePQsD1euGURhywSdDuQJYF71jVw74YmfrF/iB9s62UoWWAkXUQSBYqaiSwJuCQRC7vvtywLhyTSEPawsiGEJArlzYmiZpR/d8oi921q5mf7BonnVNJFjaFkkbyqo+gmi2v8XNdeydtW1pXHs+Mjdkrg6sYwFX4n79/aMoMD4GLhYtvzkd39/NkDewH4n3et5ANbW057/o7uOH/24B764gVEAT7+pkV87Jb28w5j1wyTF4+P85M9Azx3bIxEXpvyd1GARdUBltUFWFQTYGGVn/ZqH81R35R0KtO06I3neeH4GD/a2V8e++tDbv7x3Wu4tr3yvMp3oTFhz6Y/fXBKTnz3ZTwXPVd85tH9PHPE5v1yyCL//v4NLKm9OqIOPvqd7TxxaLT82W0VOfrld11ZO/FvRPSWJptg52n1xvNTnPgJNmSAdEEjmVepDroZSBbKLL4FzWAgWaAl6qWg2kQ+AIeH07hlCdMC3TRJFjR8LgnTskgXNGJZBdUwaY7au1x98Tweh1Tu7IqaiWmppAoamaJOqqCRU3Q03cQ0bbIWSRAYVwxkSUDVLcCioJkkcyoj6SKKbjKQKGCYFtmijmlapPIa1QE327vjZQce4OBA6iK/7YuDyQ48wNmrOl4aPLSrv+zAA2RKiy+XM3omtYNUQSNVnMokGMupDKUK5DQDw7AwTAtJtFB1E1kS0S2bCNIwLUTBjn5pqfDhkER00+KF42OkizqKZqKb9sRdFARMCzRDL7eZ4VSRiNdRJqTLFnV64vkpTnxP7CRzsmnZ7WrCie9P5DEti1SJ2ThV0KgKuBhKFy6JE98bP/leNcNiMFm8JE782aA3bu94KbqJohtMdB0WlOyjc3w4SyynlvtU1TAZSRcJuWVU3UQU7HPzil7un/KqQdAj0hvLMzmTK1lQ8egSfpfMcKqIqhu4ZBHDNNnTl2JtU5hUQSOvGmiGhUOy6I3l55340+DgYLrswAPs60+xpbSbMpIuki5oWIBuWBiCbcSxjMKu3gSZoj0uTeQyHxvNMJZRysdSBY2BZL48qdveFSNdPNm3ZYr2wrTfJRPLqmQVnf5EgcQklvFEXmVPb+Jk+1Z04jkNd4nFXBQ0mjjZH42kFRTN3q0Duz2ruslgamp77o2f7BMsy17MuNKc+EuJw8MZFM1ENWym+Qm798bybF1QweCk+VCqoDGYKjCxJ5VVdFAg6HagG1Z5MfjwUBpVN8mpJfWD0gKfqoOAiWZaWIAkgm5aaKZJMq+RLKisqLejwTrHciyptTkUVN2kYzxDPGfXp3RBYyyrIJd2npN5rVxvJv5PlshWi5pBMq+RLmiXbf97Ljg2kuEvf7wfgI/d0n5GBx5gY2uUX3z8Bj77k4M8snuAf37qOC8eH+effnPtWbcVy7LY05fk0d0D/HzfELHcybbtd8lsXVDB1gVRVjeGWVF/as6FyRBFgdZKH62VPt6/tYVfHx3lb396kL54gff/52v89R3L+fB1rZc8DfiNgIOTVLk03eS1zthV48S/eGJ8yuf8dLbss8DlzdpwlaIuNDV8tT489XPtpL97nRLBEoFbbdCNWOo03LJIVcCJQxJxyWKZjKe1woffJSMAsigScEt4HBKCIOBzyoR9TgKlXQtBsO9VH/aUdzJcpdXroNuB1ykR8DhKO+8ygmCH7MuSSNjrwCmJOCQBuVSGgMdB1OfEJYvUhtwIgs0iLwiUr7+iPjgltGph9ZVJFOVxXFmd9+0ra5mcteBxXP6kdpPbgc8lEXRPHXyjXidRvwuPQ0IUBSRRQBQEZElAFOwdWUGwd2wFQaAm6C7XPVGAja0RPE4JZ2mn1SVLSKL9fa/TbjN+l0xrpRefS0YU7F12n0uepQ2fdOIEgSnEkzVBuy1MhOH53TKyKEwhZ5pL1E4KnxcFgZrQ5TuBrA15CLgcOGURhyQileqwLZlp79o2R72EPI6yM+4QBSp8LmpCHmTJtr2AgNspU+l3IUtCOay6NuSeYquAWy73VRV+F87SjpAoCiyusfsqv1u2pQhLdWl6/z2PqVhU7UcWxSmfJ1Dhc+JzyrhlEakkYwoQLoXGe52lsQqB+rCHlqiPiM9ZPuZzydRMakcrG8J4JxF2ely2SgvYUW0+p0RdyF0eUwECLpmlJUJLwB4nvTLOiXGtVB8m+qMqvwuHJJTH3JPteWo7qpsmDVkbmq8n54JFVX4ckl0nBATCpQWSulJ7q5k0H/KX64Hd1r1OudzfSqLAwmp7k2RBpR9ZEkpSogLO0hghl+7jlkWckogs2raXRZGgR6ZhUspMQ9iNJJ6M6Gqp8JXriN8lE/bI5XoccMtlu0/IFgbc9t8nIn4ux/Dsc4VmmPz5g3tQdJObl1Tx529ZfNbfDbgd/NNvruWff3MtfpfMjp4Eb/vn5/k/Tx4jNW0nfTK6xnP805PHuOUfn+Xur77Mt1/pIZZTqfA5uf/aVn70+9ew+7Nv4Rsf2sjv3rCAzW3R80pdEASBW5fW8MSf3si7NjRiWvA/f36Iz/3sEPOBzBcfk8lkZVFgXXPkNGdfWVg5LS3TKZ27XzEfTl/CXBPbHRlOM5Ao0BjxsqQ2MOVvqm7n4hQ1gzVNYaKlSQvYO352DpiLpoiHvQMpdMNEwJ6YbmiJ0DmWY19/Et00aYx4OTCQIldidG+MenFKIrGcnRM/0UBOjGb4xf5hnLLAgko/TlmkPuShP5mnoBp0jeUYzdg58bUhD7UhFydGs2RLoY5Bj4OltUG2LKgoT266x3N0jmdLO6ECEZ+TdU1hXu2M82pnjMaIh7vXNVw0BtCLHTrW/unH0K0rh53+G8938LXnO/DIEt+8fxOLLvPVTFU32dETR9FN1jaGySVGZ9hzLFPkZ3uHODGaJa9oKIbJwmo/Q8kimmHidcj0xHMsrgnwBzcv5NXOWDkn/sbF1ZwYyfDz/UMomkGV30XHeA6vU2JBlQ/LgrZKP+uawhwcStE5lkMQTh6bzuVwYCBl51JX+lg4jcW8cyxL51iORF6lwu9kSW3wku3eWpbF3v4U8ZzCourAJdsdPJv2qeom27tjHBnOoGomPbEs+wfTiAg0V3jZ1BblHavrGUjk+eenjjGW1bhtRTVb2irIKDqxrMLP9g3hEAXeuryG6qCHoMdBqqBS5XezqtHeXTswkCrnxOdVo2zHAwMpOkazrG+JsKWtgh09cUwLvA6RdFGnpcJXzqt/o+N09tzVE+f542NUB9y8e0MjR4azjGWLtFX6iWUVXjg+hgAMporIosD917bRXu3n6SMj/HL/MFUBJ797wwIqfC529Sb4+d5BBBFuX1lPQ8TD0eE0IY89vmzrivH15zsRBPi9G9owLAHNMFnXHCkrmnSMZXnp+Di6aXFtewVLa4N0jmXLOfEVfieHh9JlfXmXbI+tE2HUQ6kCBwdTjKYVqgNultYFZuVGODyUZjBZoDnqZVFNYMbfL3dcauKsvX0JnjkyikMSWVwToMLvZF1TpNz39sbynBiz+RAM0+Tljri9a14bIup3sLc/xaIqP29eUYNLltAMk6cPj3JoMIWiG2QKOiYWQolTqDboIqvoCIJIVdCFUxJYXBNkcbWf3X1JANY1hTk2miVVUMv9eKqgsbs3gUMSiXgdHB/JkixoLKrxs7ElilMWy+NZVtGxTAunQ2JdU7isYT8XuFj2/Nenj/N/njxGyOPgyT+78bx5Vnpjef7swT3s7EkAdrrCjYsqWdkQIuJ1klcNusdzbOuO0zV+MtLF45C4bUUNd61r4Pr2yos2p7Qsi/98sYt/eOwwAL+1pZl/+I2Vl4zXacKen/jeCzy8PwUCfOVdq7h7w8VJUb0UUFWDf3zqGMOpAu9YXc9bVtRe6iJdULz5H39N53gej1Pkyd9fQ0NDw5XFTn8++MUvfsHf/M3fYJomuq7zF3/xF3zoQx9idHSUD37wg3R0dOByufjqV7/KjTfeeFbXnGenv/pwqScg87iwmLfn1YV5e15dmLfn1Yd5m15duBj27I3lefM/PYeqm/zLe9fyG2sbXtf1LMvilweG+denj3OkxHEwGyRR4IZFldy1toG3LK+ZU4LAH+3o45M/3odlwQe2tvD3v7HikoTWz7fPqwtXJDv9ucKyLN7//vfz7LPPsnr1arq7u1m6dCn33HMPf/mXf8nWrVt5/PHH2b59O3fffTddXV04HJd/uJJmmBwfyeKQBNqr/WfdIYymi7bOqWnnAS+s8pdDRcEm1RrLKDRFPYS9TgqqzrPHxpAEgZuXVJfJPPb2JXnx+DhLa/3cvLQGzTA5MZrF45SIZxW2dSUIemTWN0dYVhekO5Yr534FPQ4UzSTodtBc4UXRDY6PZDEMi6F0EbdDZG1TmP5EAbdDmnXnqqgZnBjNIks2i6tLllhY5Su/h9FMkZGUQl3IRSyncmI0W2YJnwiRVnWT46MZXLI4ZSd0NF2kJ23RGPGUQzEvBG74wlP0pRRCLpG9n7v9gl03q+h0j+cIeRwXdJc0U9R45sgoIY+Dm5dUX7DrXgr0xHJkijoLqnx4nTKdY1m++0oPBwaStNf4CbocaIbF+69p4uhIDlGAW5bUsLcvwWP7hlhY7ec3NzWTVXQGEgU0wywzCPcn8uRVg6jXwcIS+U1fPE+qoNFa6TsvHelETqU/UaA66KLmMmaDv1QwTZNfHx0jp+rcuqSmHNI+gYFkge7xHJIo0DOe59XOcYq6ydYFURZWBZBEgUxR49hIhkq/kxX1IRbVBMo7pwDPHR3liYPDZIo6WxZEefOy2nKo6+R+UtFNRtPKefcX6aJGbyxPxOecz5WfBcdHMhwYSLO0zs+yuhB98TyxrIJuWnbuek7hF/uG0Qw7Em11Y5jqgJvDQ2mKuk04VxNy43dKvNoVp9rvIuR1MJpRiHidtFX5CLodJPMqh4cyKJrB4lq7joymFYJumViJhMwwLSJeB4IgEPY6aaucqUEcz6kMJArUBF1UB91l+4a9jnllgteJiXHf45RmRC9ZlsXx0Sy6YbGoxj8r+VuqoNEXzxP1OakPe0jmVfriBZySgGpYOGWB4yNZBhL5MvN4XdhDXchTirjyU1ANtnfHKagGm9qiuGSRrvEcQbeDxoiH46NZTMuiLuRme1ecwWSBlY0h1jVFMCyLXT0JxjIKG1oiKLpJVjk5Lk0833hWodLvor3aP6VPmo6sorO9K45hWmxqi5YjR06H6fOeuXYmP/+Lw6i6yQ2LKnnnmvrXfT1BEHj7qjpuX1nL4aEML50Y59hIhrxm4JJEGiMe1jSF2dQWnRNZutnw7o1NOCSRP3twD999tYcKv5M/ffPZpxBcaAzEs3z8ocP4XDL/9O5VOJ1zF90xF/jod7bTMZ7nY7cs4K51TZe6OBcUf/3IHh7ZNUxbhZcffHjtOX//inPiwW7kyWQSsFcuKioqcLlcPPjgg5w4cQKATZs2UV9fz3PPPceb3/zmS1jaM8M0LR7e1c9gsgjAyoYQb1lec8bv9cbyPLJ7gL5EnoFEgRX1QRoiHu7b3IzbIdExZrPjWpYdlvSuDY3869PHOTGaBeDVzjh/fccyXjw+xv987DAFVUcSBY6OZAi4bRmmo8Np9g+kyCkGFhYr60NsaAmjGRb7BlKICJiWRUuFj6qAixsWVXJ4OEN/PM9LJ8bRDIuQ14FbthmjZVFkfUuEmxZXlZ9D1U0e2N5HLKtwYDBF2GOzAa9rDnPzkmr64nke3jWAaVn0xnMkchoFzcDvspmH717XgGFaPLSzn5G0/Q7XNIVYXJoT/HjnAE6vzT76m5uaLoi018a/f4LxvE2glFJM2j/9GCe+8PpD6nOKzg9e6y2z/r9pWTWrG8Ov+7pFVeevHtnPaEli5eBgmj+6pf11X/dSYFdPnN3DNnlN0OPg+oVR/uB7u+gqEUZu70kiAF6nyIM7+lhSG0CWRB7c3s/+gSQF1Sawe7kjxrK6AAOJAj2xPA5ZJJFTiOVUdMPC45S4aXEVC6r8JEu5eX6XzPu2Npdzdc8GsazCD7f3lUjWBN6xpm5Kntc84F+fOcErHTEAnjk8xpfftbq8wHh4KM3Du/o5MJBmKFVgOFWkWCJKe/LQMPVhD16nzHC6CBZYWKxtCvOmZTXct7kZhyTyHy908M0XuxlOF7EsWwFkR3eCj926CFGAn5b6yayiI5eYqM+nv8gUNb7/Wi+Fku7wbStqZ5UjfKNif3+SL/7yCLppIYkC71xTz2CywMGhNIpmIAqwpy9JXjUwLfjZviFW1IdwyAKabjGeVQh7HCyrC3BsNIssimWZN9sRd7CuOcLbV9Xxox197OpJoJu2AxZw2znxBwZtMtWxjFJ2DKsCLlbWh7i2vZJrFp4krBzNFHlwex+aYaeEvWV5Nc8fHy/b960rasqEZ/M4N2iGyYM7+oiV9MI3t0W5bhLr968OjZRVeg4MeHjXhsYpYcupgt3WipqBIMA1CyrY0ZMgmVc5OJimPuTm0FCaeE61yXlNC49DwuuQaKnwsqmtgrVNYXb2JNjRHcfC7k8ao94ySaZDEtAMC0U3ODhop0YUNYOqgJv7NjeRVw2ePDSCYVp8f1sv7dV+Il4nIY+D92xs5JE9g+zqiTOYLFIXcrOhJcJ7S33SdOQUnX9+6hj7S0zoLxwf48/fsuS05KeGafHjXf0Mp07Oe25deua544XCyyfGefzgMJIo8Jk7l1/QBQRBEFheH7xs+8+71tlKFZ/5yUH++anjVPicfOCa1ktSlru/9gqqaC9I7+hO8NpfX94+z7ngpi//mp4SGe+fPbAPr0PirStf/2LR5YBPPbSHB3YMAHBwOMN1X3jqnK9xxRHbCYLAAw88wD333ENLSwvXX3893/72t8lkMmiaRm3tyXyJ1tZWent7Z72Ooiik0+kpP5cKmaJeduDBZvk8GxwfzWBaFrGsgmnZmqfJvFZ21I6PZE4yNusme/oSdE/KIzoxmiGZV3nxRIyCajuNhmnx4vFxe0KMvQOWKeoYps1OP5wusqsnSSJvOzoT7PWxnH3P3b1JxjMKybxKpqhT0HQ0w2QwVSRfYnQ/Ni1EajRTJJ5TKWgGOcUos4seLZ038ZwAQ6liuWxZRefwUBrNMEnm1bIDb383W/594ruqbk7Jo3o9mHDgJ6BfoKSU/kSh7MDDyXfwetE5nivXC4BdpZyzKxHHx07aNl3QeGz/MLGcwuTEIAu7Lhc0o8xwfXAwRb40+TYtW7M3U9QZz6oYpsVIqkgsq6HpNnOwbpj0Jwrl/DygvHN/Lugaz5UVGUzL4thI9gzfeONhTynfFOx84+5JbP/HRmz2Z9OyiOdUVOMkg6th2jul8ZyKqhkouoFpWvTFC4xnlLLU2K6eJMmCzWBvYS+cHh5Kc3wkw7GRbLnujKSLZabp8+kveuP5soM3UfZ5nMQrnbEyo7hhWjxzZNTevSypRPTFC2UH3rJsG/Qn8oxnVPKqPZZkFZ2eeIGxjFKWWu1L2MzkybxGpqCxrSvOWEYp36svkWc8q5AsKQvEsip51SCj6GW1gYJmcHR46jygcyyHVpL1MC1bY3zevhcG41ml7MADM0KnJ88TBpKFGYoqPbEcxZLepGXZmxKqbrPJ2xFV9twlp+gYpoVm2AoXRd1gqDQW7upN0BPLMTF09Mbz9JccBsuy2N2bBOwFg/7EybadKWps745zcDBVVjUYShWIlfqbVEHj6Eim1AfZzxjLqYxn1SnPPBn9icKUsWUwObUfnA3JvFp24GHqvOdiwzQt/mcpN/z9W5pZfAVyPrxefOCaVv7kTYsA+OxPD/LYvqFLUo6idnJMHM/NXr+uVPQnTqrpWMDXX+i6dIW5wPjJnsEpn1PFc9e5uuKceF3X+Yd/+Acefvhhenp6ePrpp/nABz6Arp+bZNYXvvAFQqFQ+aep6dKFaHic0pQQ+OhZhnBOnDfx3Qk97IkQrKhv6g5SY8Q7JUw16HHgc8k0RdxTGOMbIt4ye7nfJeMsMTyDzdxbHXKX848m2Oonzq8Pe3DKIh6nbDPXizYLrFu22Vhne76Qx4FDsollJFEoX2vivMnP4XNK+ErPK4sCFT6bod/nksvXB5v1+HTv7PXiYgWsRXyOMuMuQIX/wpS3OuiaooM6nUn5SkJ0EhGQJNqr9U5JnGETURAQRZuVHOx3K0+q51GfE6cklpjobU1pl8Oug6IoIgh2W6oJuqZc81yJiKbXuQtl06sJVZPqo8shTqmfUZ+z3CfYmu0nvyeUjrlkEVEUyvYNuiVcDqnM/FwddOOSJYTSdxCgMuAi6nNOsYfHcX598eTzJ29GXaj+5mpB07Tw88aoB4ckllQE7DFJFoVyWxZFgYBLxikLuGS7TcqSSLikmiIK9hjjd01WTxFojnqmKHAEXLJtW4eEJNiRFhPKLk7JbvNOWSQ6Lepi+jjSFPVOsW+F78rtRy81gm7HlDFp+ruOTmqXXqc0RXUAZratxoidujLRfoNuuaSgY9cbu64ISIJYnkPUhzxT0qMCpTkR2BtGE/2Sp6TQM9G/TGjIT7a/1ynjKY01kihQH7LnQt5J8zPnJLWD6Yj4HFOVFZzSGfuPs533XAw8fnCYw0NpAi75koaSX2r86ZsX8f6tzVgW/NkDe3h5mmzYXGDynPF8GM4vZ7gdU93UTa3RS1SSC4+Gaco252O6K47YbseOHfzWb/0Wx44dKx/btGkTn//857nrrrvo6Ogo78Zv3ryZz3/+87OG0yuKgqKc3JlMp9OXlCBiNF1kW3ccWRS5rr3irGRHLMtie7e9kpwsqNQEPaxpDNFSYef1mabFa11xRjNFFlb5WdkQ4uhwhh/t6EMUBX5rczOtlT503eRrz3WwvSfOggo/H3/zIvKqzq7eJBJwaCjF7r4UblnktpW13LykmgMDKU6M2jn8Ppc9WEZ8Tq5dWMlYVmFnT4LBRIGRdAGfy8H1iyoZyyi4ZJHrF1XOCEfui+fZ3ZcshVQKBNwy17VX4nPJ5eccShVsfe1UkYMDKdqr/dy+sq6ctzqcKrK9O45TFrmuvZLk2DBNTU08taeLrOWgrdJ3QULTJ9D6l4+Vf3/tzzZSU3NhwthOjGY4OJgm7HVy7cKKWUPvzgc7exL8dO8gfpfMb1/XQqX/ysrNniBxGY3FOTCqkS5qrG4M01bp479f7eYbL3QyklYIuB34XbYTd/vKGlIFA1EUeNeGRn68s5/nj49RG3Tz2TuXkyrqdJRyFn0uiaJqcGQ4Q1Ezific3Li4ik2tEfb0JUkVNFbUh86LjXx/f4rO8SzVATdb2qKXjM32csJkUp4iTr71cjd51eDudfWsaTopI6MbJq92xtnVG8eyYG9fiv0DCSzL1vK9bmEEUZTpjecYThXxOkXetKyW69ory5wSybzKvz13gp/vG0bTDdqrA/zRre1sLemVT/STrRU+CprNTn++/cXR4QxHhtNEfU6uWVBx0ZiSLzecDcmSZVk8sL2Pg4NpFtX4+c2NTbzWFac7lkPRTCJeJwcHUzx7dBTVNFlY6ee2lbVUB1zs60+RzGtUBVwsqwuiGSavdcUIuGyZwd5EgbqQm40tUZbUBjgwkOL5Y2PkVZ1NrVEckshYKWotXdAYTBYRBIGIV8btkGmMeLiuvXJGzvKeviQ9sRy1QTeb26IcG8m+Yex7sYmz+hN5dvUm8TokrmuvnLKAli5qvHwihm6abG6LzirJeXgoXeLBcLF1QQWHh9J0jGXJFDV8LplkXuPYcJruWB63Q0KSBGoDbpbVB6kJuLmuvZKRdIGHdw9S1HTesqyWqN/JgYEUIY+DlfUhtnfbihRhr4OnDg0zkCyysSXCezY1oRomP97Zz1hGKdexvGawuiFEa6WPgWSBVzpidI3naK30cu3CytPyZBwdTvOTPYOYFrx9Ve1Z9T/T5z2n42y5UPY0TYu3/cvzHBvJ8vE3LTonSbmrEYZp8bHv7+KXB4bxu2R++JGtrGy4+Gk2E/b8p8d28e0dY8iiwD/ctYLbrpJwc4BDA0ne+x+vUdQM1jWFeeD3r73URbqgWPV3j5Mp2qlkP7p/LRuXNl7d7PQjIyO0t7ezbds2li1bxokTJ9i8eTN79uzhs5/9LK2trfzd3/0d27dv56677qK7u/usiO3m2emvPswzd15dmLfn1YV5e15dmLfn1Yd5m15duFD2/NneQf74B7sJuGVe/NStZ0XAd7WjqBnc/81tvNoZp9Lv4sd/cE15Q+1iYb59Xl14Q7DT19TU8PWvf533vOc9iKKIaZr8v//3/2hubuZLX/oSH/jAB1i0aBFOp5Pvfe97l5yZPp5TSRc06sJuMkWdvlieZEGjPuTG6ZAQBZtgJ+xx4HPLKJqBBaQKOqJgh0s1hNyMZVVEUcDrkEgVNDxOibxqUBt0E8+rmKbNvi4INkvzeFalOuDC55LJq3Ye71hWwSNLLKsPklcNhpIFZEmgMeI9pTzHYKJA53iWJTVBqkphxRPPlC5oDCQLtFV6WVAVQBTs3DWvUy6HoWUVnbGMQlXAdV6s3pczvvliB996qYe3r6zhU3esuGDXVXSDoWSRoMdxQcNx41mVr/zqCLVhN39865Wxcv4H39vBaFrhn96z7rS5P6m8yq7eJDlVoyniozroQtFMcopOIq+ytimC3y2X2ec9DmmKlm1/PE93LMeyuiB5zdaiXVEXmhLSmSlq7O1LltiN3YykFSr8zjJDbrqoEcuq1ARdMyJNCqrBcLqIohuMZxSW1AaommVnaeI8j0OioBlEvc7TEhsVVIOOsQymBQur/PhcMqOZIgXVoCHsOeUu4Z6+BK92xLh+USU1QQ95VT/t+ZcTemI5+uJ5ltQGODqUZkdvgrVNEW5eUk1e1RlJKxQUnVheZVVDCAGBeF5FEgR298bpSxS4fWUdC88ioiJV0IjnbJv2xfPs60+xdUGUpujJydlAMk/nWI5F1X6bREs1WF4XxLQsxrMqsmjn7lf6nYxn1SntenL/CFy1feVsKKg6e/qSOGWRiNeJohuEPDbLeCqvcXg4jd8p4XXJVPhdZ3QUNMNkIFEgXdSI+pwYpsWhwRSNES+LawO45JO7vONZhWxRpz7soaAaxPMqtUH3lJ3gomYwnCoiAEPpIpU+Jwur/QwkC5iWhWWBS5aoDblJ5FRSBY2oz0E8p5VtPHksdsoiu3sTuCSRqN/JaEahoBosqglQ4XPOGDtnQyqvzVrWKxWj6SIFzaAx4p2S0jcdim5wdDhDLKswnCoS8TlY2RCmMeLFsuz8d0Gw+8N4TqW5wkuuoLN3IEkqr1MVdGJZFpV+N+ubw7idMiPpIsVJ9x5KFdB0ex4lioJ9zyGbj2dpXbAcoZHMq+wfSNEc9c5w0sYyCjlFpyHimRJBd7bPOR0T+cCvRwVhJF1E0UwaIhdGKcM0Lf7l6eMA/N4NC+Yd+BLcDomvf3Ajv/nvr3J4KM0H/2sbD/3+tadtzxcKBwZGuf+LL+CUBQ78/dsv+v3mGk8fGub4WJZ71jZSHbqyIkjPhMn9SeQ8mtIVtxN/sXAxduJPjGZ4bN8wpmWzm+aKOi92jJeZbpfU+hlOFUs5WxDxOnFKAiMZm6RJMy2aol7CHgdVARdZRSdd1Ih4nHTFcqyoCzKeVYn6HDhliSW1ATa0RHhoZz+qbuJxSrx9ZS2P7R/iuWNjDCQKVPidLKzyE3TLHB3J4pRENrREeN/WlhkO496+BF/51TEU3cTnkvir25eBIPDYviEODqY4MGCzqAY9Du5e14DXJTGeUREEuHVpNfVhDw/u6EPRTFwOkfdsvDDM8GeLi7lK+dlH9/GdV/vKnzc2h3noD6973dctagYPbO8jnlMRBYG3r6pl0QUgjMnmVLZ++ZkysduKuiA/+/gNr/u6FxMr//ZxsiUyRAH4yQcXs2bF4hn2HM8q/PUj+9nXlySnGkR8DmqDHsIeB0dHs1T5ndSG3PzDb6ziiUPDZfKgGxdXsaElwvbuGP/y1Ak0w8QwTSzs3EmfS+Jzv7GSpoiXVF7l04/sJ5a1F8yao14ao16cssjd6xoQBHh41wCqbuJ1Srx3U3PZ+U4XNX64rZeO0SyvdsWJeB1EfS7+5o5lU1jqM0WNH27rI55TODSUYUGljwq/k99Y2zCr1GBW0fmP5zvZ3m2Hma9uDHFde2WZiK8+7OZdG5pmTBp/tmeAz/70ILphIghwQ3sV7TUB6kJu3rWhcc4c+fNpny8eH+Orz3agGSYjaYVYtohmWDgdEu9aV099xMvR4Qzbu+NEfU58TpmV9SGSBY3t3TH6k0UELPwuB//1oY2saY6c8l6DyQIP7+pHMywGEnle64pjWhZuh8T/fe86ljeEODCQ4kuPH0HRbEfQzt+WaAh7ypJX3bE8i6v9jGTsEH2HJHHH6jpCHgc/2mn3j4ZpYWEhizZ3yLs3NM3J5O9C4lzsmVd1/vYnB+kYs1NZgh4HQbeD5XVBltYFeenEWEl6TmVRTYDVjSHuWtdwSmdmgun8lY4YYxkFr1OkO5ZH1S1cssi9Gxr4nesX4HZIHBpM86tDw1iWnbtsmhYWNv/Lezc3EXA7KKgGP9zeS28sz6udMRySSMjjYEmtH69T5uhIBkdJ0rW1wktfooCiG3SM5lhQ5cMlS2xpi7CzN4mqmzhlkYFEno6xHPGciksWyRR13A6RhrCXVQ0hEEAQ4JYl1axpCs94xr54nkd3D5Sl+CbKejFxMcfQnT0Jnj82BkBDxMO96xtndXCLmsG/PdvBC8fGODycxrAsnJLExtYI921uxjAtjgxnODiYYihpS9oquklOtQmDJ/o5h2RzbWxsjXLv+kZe64oD0Bz1UhN0sb3b7jcXVPl46/Ia/u25TrZ1xbEsizXNYT5+6yJyis7fPHqAVEFDFgX+6JZ2ri0x6h8YSPHU4REsy+ageU9JhmxnT5znj9l50o0RD/ec4jmn48lDI+U51tkqFk3Htq44L5VytJujXjZVWbS0NL8uez51aITf/c4OAm6Zl/7y1ksm83a5YjRd5N5/e5m+uK0Y9cOPbL1o7XSifTb96YOIrpN9Y/cXX79S0uWCL/7iMN/f1otlWfjdDh7+g2upu0qkW0fTRf76kf2ki7Yqzv0ba3jr+gXn1D4v/22XKxh7+1JlZvTjI1kOD2dQdZOCqlPUDI4NZ8rMuOMZm119OK0wlimSKmpkihqJkiZ6Mq8xki4ylCwyki6WVpwVemK5Mpvy0eEMu3sSZSbsgmrwzJGxsgayaVnkFINDg2k6x3Nl9u6RTJEjwzPZ+Z86bDMHA+QUg+eOj7GvP4lpWXSN58irOrppkilq7OpNcLzEum3nrSY5PJRGKbFmKprJ4aFLpwBwofHD7f1TPu8ssdi+XvTG82V7mpbF3pLczOvFd7f3lB14gKNXAKvyhAMPNivpV0/BSvpqZ4yBRIGCZmBZFvGsynhW4fhoFk03UEu6378+MjqF/XeCEf2pQ6NoJcbzgWSxzDCcU4zyJPO1rniZVTin6mUmZVU3OTiY5sBAutzu8qrBsdGT7/f4SIacYtA5nkM3THKKQU7Ree7o2JTnODaSJavoxHIqRc1gNKOgGRYHB2evA8dHMnTH7HZsWhZ98TxPHx4p/32w1FdMxw+396GXnlfRTfaXrj9Z+eFyxZOHRzFMC1U3Gc8Uy6y8mm7w5OFRMgWNzjH7neQVu2/rGM8yXOpbTdPEsmzH4Fuv9Jz2XgcH02Vm8r39SQolJuyiZvDQLrv9P3loGFU30U2LRE6doqwxlCownC6iGSY98TzjWZVUQS8rI0zuHweSJ5mpr7a+cjYcGkzTG8+TV43yDrpumIxlFZ49Ospg0mapV0sKEQXV4MDAqd/JYLLAUNIe58BuS4mcilVaQN/Xn6KvxDq+tz9ZViM4OpwmnrdtllV0jpfkV7vGc+UxN13UyKk6im7wckeMnKqTzGuMZRSbYf+oXSdTeY1EXiWRt5UUnjw8Wu4TRtNF9vQl7Xqp6vTF86iGQVYxiGWL7Oy1HUjLsss3Gw4Opsps+5PLeqVisiLFQKJQVpKYjr54nqMjGUZzCpppoRsWhmlybCTDnr4kBwfTqIbJYLJAsmCrDoxl7B17wzQxLdBN0E2rxDJf4FeHhsvX743nebkkbwm2IsGhUq69adkLPJ2jWTrGsrx0IkaqYKud6KbFrw6d7G/39J2sV6NphaGS4tDuSXOD/tM852Rohll24MFeINAmqXKcLfb0nVRW6Y3bUaCvF19/oROA921pmXfgZ0F10M13P7yFCp+Tg4NpfudbO6YoDs3j3PD4wWEm9pqzRY0Htved4RtXDl44Pka6aNcN3bT49bHRc77GvBN/ETGZhdQpiwRKIZKiICAKlJlyJVFAlgQcJSZVSSz9X/qbUxZP/kgirlJYl9sh4ygdB5vVOTxtN70y4LQZe0srv1JJA3kyC6pTEgm4ZnbG05lOK3wnwzzdDpvxdeIn4JZxTWKa9bvlGSGhV1OIqM81NZTRcYEYQS/WO1tcHZii4XolhE1Px4q62cOfK3yuErv1RB0vqRw47WcURZv5ujHqmbIDMtE+I5PquSwKU2xZWWIfnrwrKonCFEZgv0uewTg82W7+UtuaYMueKMN0lvpg6RoT7WiiXftnaZt2+R1T2pxTFqdE04iCgG8WPfvJzyIg4C/V5VOdfzkhUopukEQBSRTLTOECNgO5KIrlMGOpxFbvc9p9k0Msc9MjMJMZdjom29DjkKeoH0yw508oZ4gl9uuJENoJnfkJ+0z0txM2DbgdM8aHyeHe/lMwWF8tiPicJRvaTPQTDOLO0o63U5LK7cQl2yoTp2L1BttWcmkcBfv9S+LJtuF1SuV3Ovk6LlnCOakvDE47xzVpjAbKJK6iYN9LFCBcCieesO3E9aK+k+3WKdsKLqJg1xWHLCIgIIkgy9KU8eRUff70fiBwhY+nk+1g99ezpwf4S3MLV0mBRCj943ZI+F0yXqdtowl1G3suZf8Ik9q7gD02iIJA1SRSV1kUyv0K2GN51OecwpzvlG0FhMrA1D47MsnGk59HEE7OESY7upIozGDZnw3ytPfhcUpTlFXOFpPrjCwKM5i+zxV7+pJs64rjkATuv7b1dV3rakZrpY9v/fZmAm6Zbd1xPvRf28pSt/M4N0zv95ujV8cuPDAjMjnsOff02St7FLjMcePiKjTD1m/f0hZlJKPw5MFhsopO0ONgRX2QkXSRTFEn4nVSHXShGRaZosp4RkM3TVorfSytDZIqqOiGH1EUUHWTRTV+gm4Hm9qiZBUd07S4flEldSE7v3UwWaSlwsv17ZVEvU5EQeDwUJrqgIvbVtZSUA129CTwlFhhVzbMDN147+ZmEnmNrvEcy+uC3LG6rqS3auGURfb0JUjkNBZW+Xn/1hZkSWBXbwK/S+bWpdX4nHJ55bsx4mHNBWSGv9R44c+vY83/eg7DsicHP/7DrRfkuvVhD7csrebgoM2Oe9Piqgty3Tctr+X2lbU8fXgUWYK/f8eFy+G/WPid61r4r5d6sIClNX7uXt/Mx2c5b+uCKO/Z1MTP9w4xnlVYWhtgYZUfl0PkwEAaSRS4eXE1G1ujhDwOtncn8DhFbl1ihyd+YGszmaJGX6LAzYurSBc1BpJFVjUEuW2lrXSxrjnCvRsaeenEOFGfk81tEWJZjdqgm02tdkh2tqgzXGI1X1p7MgViSW2AWFYh4rVDhhFhZX2I21fVTXmORTUBtixQ6BzLUR1wE/Q4qAu52bJgdkmV9mo/d61t4PEDw+imxZuXVbOhNcKvj4yRU3U2tkRnzaf/3DtXMJop0hPL0xTxcve6BnTLYn1zZMqCxuWI37m+jYKqM5RSWNcUZntPnP5EgYawhy/es4pkQSfodrCt2w6BXtsYpqnCS188T2PIw6+ODKPoFmsbQ/yP25ae9l6bWiPkFNumH39TO4/sGqAvUWB5XZDfu6ENgPs2NxPLKnTH8qxpDKHoBgXN5JYl1XidEt3xPOMZhfqwG6ckoRomUZ+TGxZV4pREkgWNgUSBtU1hLCwGk0UaIh7WXkV95WxYWOXnfVubefLgCJmim7YqL7phsawuyA2LKnnxRIxXOmKousGyuiCLawJsbju1tFCF38VbVtTgdIj0xfO8eVk1J0YznBjLUx9286Fr26gL2ZO/W5ZUY1p2+srNS6oYzSiMZRQWVvlpr7bbbVPUy42LKzk4mMbnlEgXdWqCLu5YXc+x4Qx+l4woClQF3Ny3pZk9vUliOZX2aj8W9mTs5iVVvNYVYzBZpDka4abFVTy8e4DqoJumiIcTY1kEBDa0RNi6oIIDg6ny2DkbtiyIkld1RjMKC6p8FyTN6lLituW1PHN0hIJqsqk1cspd3bqQh/dtbeGRXQM4JJGsouNzydyzvp47VzdgWhYvHh/nbSvr6I3lKKgG1Qtc5FWDZ4+NUVB13A4JlyTQVhXg3Rub2LIgyjNHRilqNvN9xOvg10fH0AyTaxZU0Frp4/1bW3hk9wCGaXHnqjoWVPlZUOWncyzHzp4EdSEXH76urVzONy2rAUbIKjprm8JUlCbot62Y+pxnE1otCAK/sba+HAl24+KqKYvwZ4vbV9byzBE7onLLgiguJXnO15iM/yjtwr9zTQO1V1lu8oXGqsYQ//27W3j/N15jZ0+CD/znNr794c0XhUPAIcJE3GK1/+qKjvjKu9fwJw/sIVPQuK69kns2XDo58AuNm5ZU0x3Ll/uT922s4VPneI35nPgS5tnprz7MM3deXZi359WFeXteXZi359WHeZteXXg99hxMFrj+S89gWvD4n97A0tr5+nA2ODCQ4v3/+RrJvMbqxhDf/fCW05LVngvm2+fVhTcEO/2ViqJmkFV0Qm4HqaKGVcrP0gwDl0Mi6HFSVDWODmdZWOUjXdTpHM0R8Eq0VQbsVWoBe1e9FFaVymuYWKTyKk5ZpD7sRTdMkgWtFN5+MhzLNC3GswqKblIVcE3RwtUM087zsuywRr9bJpFXcUoiqmES9jiQJZG8qlNQDSKTyjAbemI5RFGg6TSMqoZpRyj4XfIMXd7pONUzXWo8vq+Pf/11J+/b1Mj7rl14wa5rmhbxvIrPKV9wBuI/+8FOFlT7+OM3nX4X8nLBc0dHGEwWuW9Ly6x/n6i7HodEVtEZThZwOSQ8DpGxjEJ7tR/DolxnxzIFemMFFlb5CXgcDCbtPMHagAdRtM/TTJN0QcMCvCUWY79LpiZ4+p2HWFbhxFiWFbUB/NPCooqqTm8p77c/WeCa1igB78xd73hWsdUrwp4ztouJ63aM5/A4RJqiPhySyGi6SLqgsaDKhyheOWkTmaKGZlgE3HYET9DtKIe0TvSfEa8dhp3Mq4xlFHTDRJYEKv02W/fkcyYwmi7QFcvTWuHBMO0+LuJ1Es8pHBvJ4neKNES9CIKIUxIYTSuM5xRW1gWxBIGhVJHmiAdBFMgUdUIeB6Zlzfr7RDh9QTXIq3q53u3vT5IuaqxrjiCLIumiNuX802Gijk9+H1cq+hJ5TNOaweq9py+BzynTWukrt+dYVsEhiVT4naSLOn6nTE7V8Zb6xVRBw7Iswl4nqm6SLmqYpoXHKU3Z7YxlFft9u50UNB3VMPG5ZKr8LgzTIlnQyuNQIqciSwK6YRLLqWWViAWV/pPjbil6YiiRx+kQ2dgaRRJFEjkFE7t+icLJEO14TsXjlGYoVkzHxDh3NmPi1YAJm51NvZ6wtdcp0x3L4S6ln+RUnbDXSdTnpKAapAsqRd1EwOZRGUkVqfA5Cfts0uDRjIpbhkPDWSq8TlY1hZFFgeFUkVi2SE41WFjtp9LvLtfVxoh3ylxl8tzFsmAwVbDv4XWSV23yYUkQCHoc5zRfmejjJuZblxt+uL0P07Ij3+Yd+LPHyoYQP/i9rbzvG6+xr9926L/3OxfOkZ/Am/73M0R9Dn70h5c3YfH5YGd3nH0DKd69tgH/ZR4teK4YThb59itd3LKkiqWVl2k4vWVZ9PX1UV1djdv9xgvBGUkXeXjXAAVVpz9RwCWL7OxJkCmqFDQLlyxQGXDRGy9gGCa6aWKYlEO1/S6J1ko/a5tCrG4Mc8/6Rl7tjJV/skWdsNfBHavrMUyLeE7F65R414ZGKvwuTNPiRzv7eOLgMAXVZEVDkN+9fgG1ITdZRefB7X0cHEwxmralryxAFODYaJb2Kh/NUR+b26I8dWgEvcTMfde6hlkZVr/67IkyYdfbV9XxoVnypjTD5Mc7+xlKFXHKIneta6DhFGyTBdXgwR19M57pUuMffrafb7zUC8Bf//QIj+we5KE/ev2dp26YPLxrgIFkAacs8s419bMyk58rstksq/7hOSbCbv7rpR52f/a2133di4n3/+ervNJhswP/nyeP8cj9y6b8faLujmUUjo1k6EvkGUkVQbAXibxOCZcs8Y419Sys8lPpc/KFxw+TKeqEPU62LIjy3LExcoqOQxK4ZWkNbZU+iprB/oEU2YJGWjHQDZOA28H7tjRz55r6Wcu6oyvGXz68n4JmEPQ4+PoHNpRlyOJZlb/5yX6ODKXpjRdwSgIRr5Pvf2QzLRUnQ2JfPD7GN17soqAatFX6+MRbl5xBbkrlkw/t4/BwGkEQeNuKGlbUh/jh9j4M05ZF+ts7l10RjvwEs7OimcRyCnUhD36XzLs3NlLQDB7ZPYCimdQE3dQGXfxoZz97epPkNR2PQ6KtwktzpZ/aoJuqgIt3b2zEJUu8eGKMzzx6kJyiYVrQFvVSEXRTF3Tx1OFRxrIKAjZPwKqGEMOpIh1jWQRBIOJxUBNyY1p2nrKdciTgkkVMayKtSABLsBc7vQ7es7GJ8azCz/YOohm2usjOnhi/3D+MYdq8DG9eVo0oiAQ9Dt69sfG05FCZosaDO/pJlxYx372h6YJP/uYK33mlm8f2DQF2ePAf3dKOaZr88Q92l0nBFlb5WdkQYm9/AlW3Sk68g7ZKP13jORrCHgJumeaol46xHADL64L0JfLs7UuSKmisaAhy+8o6VjeGefLQMA+U+gjNMLGwiQObox7uWF1PQdWJ5WzJ1qqAi95YnoFknq6xPBnFJqprinhZUR/ib9+xnIODaf73E0fZ1ROnqJvIokB7tZ+bFldxpERU65RFVjWEWNMYRjNMumN5ZFHg9lV1tJ9C1rCoGfxoRx/jWdvhv2d9A9WzSFBeLUgXNR7c3kemqNv1emPTKcOMd/bEeeH4OKpusrcvSTynkiqoOGUJt8NWgrhzdR09sTwvd8YYyxRRdZOsoqMbFg5ZZFlNgKJuUlQ1uuMFdMNClkSua69g64IKfrJngM6xHIIADWEPWxdEOTKcxbQsIl4ny+qCOGWR21fW8kpnjNG0QkEz6IvnypKCd6yspWM8x77+JG5ZYkNLhHdvbDqrFKXRTJEf7xygqBlUBly8e0PjZbWQoxsmD2y35zvvO8WC+jxOjWV1QX7we1u57z9eZf/AhXfkV/7tE4guLx2xAq1/+dhVxU7/mUf384NtfZiWxVeeOMpTn7ie2tCZ5WGvBOzpSXDPv72MacG/PdfJu1adWi3nVJiT2Z1lWbS3t9PXd/WwCp4LdvYkKGqGnf+YLLB/MGUzz+c1irpBXjU4MZqjoOhohoVq2A482KvJWcVgOFWgP2H/HB/JsK0rTiqvMpS02XMN0+LR3f1lNuq8arCrxIranyiwpy9JTjFsZvmxHDt6bHmV/f0pEnmV/kQB1TA5MZrlwECKwWSRomowkCwSz6n8dM9AmRm3N54vM/1ORiqvTmHcfvzAMLo+k1G1cyzHUMoup6qbbC9JvcyGQ0OpMlv75Ge61Jhw4Cewo+/CsEl3x3IMJG2WalU32Xaad3Mu+JOHDjI5byaRv/zZUl/rjJdZSWM5lYd3TH3n+/tTpAoaoxmbVX0gYes3Z4t2xEhBNUjmVY6PZuiN5/nmy91kSkygY9kijx8YoqgZpR0QW4d4Z0+CzrEcsaxKoqDRn8jbO3yWxU/3Dp6yrN9+pafMXp4uaHzn5ZPM548fHCaWVRlOFcvOX7qo8bVnO8vnmKbFz/cNUSgpCHSN53itK8bp8OShkTI7vW6YbO9O8P1tvRildnpkKM3+SQzHlzNe7hjHsijn6hdKu1J7+pJs706cZHFP5Hnq8ChHhzMUNNvOOUWnP1nk0GAKy7LsRZ1hm7n72y93o+oGimaSLeoMpIokcirPHBmzWcRLTPfxrMq+/hSd4zkU3UQ3TIYzRbrGbUexL2FrxAMcGU7THbP7v6PDWbpi9jnJvMaBgRSvdcXLrPb7+5M8U2LUB4veWJ49ffZ10gWN/WdQn9g/kCJdYpTOFHX2nIK5/HKHaZo8fuAkI/jzx8ZI5lUOD2XK70PRTQ4MphhJFxlIFMkUNZJ5lWMj2TLz/HDKdtB+VloMAPjlgSGGUwVGM3ak2UhK4aUTMTJFjeeOjpEp6mRKfBWj6SKKbhDPafzq0Ai9cbuvTeZUnikpOxwdzjCSsVUqiqpBKq9xbCTDrt4EP983SF88R1G3Wc8N0x5PXzoxTl41iGVVknmNwWSRnT0JDgza44JuWrzaeer2fGQ4w3hJ/aKgGuzqSZzy3KsB+/tT5b44U9TZd4p6bVkWL5+IYVnQG8vRNZ4tK/qMZuw6kilqPLCjj4FkgbGMQqaok8ypZIs6mmFSVA0ODKUZzRQZyagUNRPDshnut3cnePrwCMMpW0VCM0xiWZWfl+pXUTM4OJiioNoqJ4/tG2I0PaGAkC4r8qQLGg/u7GcoWaCo2REVg6niFAb+02FXaY4IMJ5RODp8eanHPH1klJG0QoXPyW0rai91ca5ILKkN8IPf20rU5yw78qn8PNndmfDIroGyyldeM/jS48cvcYkuHP7HQ/swJ/l6j+4ZOu35s2FOnHhRFFm0aBGx2OknpVcrJthqJ3aunZIIE8zu2CQmonCSRXs2TDD5gh3i65AE5JK+vM0QbzPtipMuMJnlejKzqSQK5TAvl0Mssbbaf7fZ8YXy+RP/Tw/rds3CcuqYdh+nLCLPEiY3PXTOdZpQuunhaKc7dy5xsUrhlM78ns8Hp4p0uJwxuS4LgkB02q70xLuRRLv9lJnKS+1hggjIUzrP55I5yU4u4CjVrYl2KEt2vZ+onxNM0hPlON3OyPT2MTmcd4KlWCi1jYlyBiftPAnCVFuLglBmsz8VvE55yjtySiLuae3lcmebn8BEO59gKz/JTC5NafNCiYXaZgYvG7zUZ4llm0+8y4l3KJTqxwR7uUM+qWYgCCCKlBVBJt6oKJzs/8QSczqALIpT+sfJfZ7LMbW8DknEIU6261QlizP1Z5dr/3euEEuKKxOYaGd+l4x40oyIJXWIyW1PFAQ74oGT9WIyy7ZLlmzblz7b45t9v4m2LExry6IALunkmGrf1z7XIYql/kQo1S37un6Xo8QSPtUGgnjSTuKkejbRn5ws5+nGuelj4uWzC3sxcLbPO9HeoaRggFBuy6Jwsg27HVJZLWCCwX5y+57cXifPseSS3U+mBwoIolAOZ5+oMyfnXifL6SipoEzA4xCRptXxs22vM+ZEF2jcv1D4/mv2Avq7NjZe8Sk9lxLTHfmPfHdHWYZyHrNjempJ5VUUTh9wT+33zieLZs5meF/84hf5i7/4C772ta+xcuXKubrtZYFr2ytIFjTGs/ZKpqIbJTZbB5mijt8l01bp48BgikxBIyQJFDWTvGYgCQK1QTdL6gIsqwuypS1Kc4WX21fV8esjo2xsjTCSVgh7HHz4ulZiJTb5mqCrzOZbG3Jzx+p6lF39pAs6WxdEuXZhBQCrSyGkRd1kLKOwpMZPyOsgVgrrqw97WFIbYFNrhMcPjJApaqxpCpeZfifD65T58PVt/GBbL5IgzBpKD9BW6WNDS4RDQ2miXifXL6o85btbXhdkIFmY8UyXGj/6yLXc+/WXy5//1zsvTI55c4WXTa3RMjv9jReInf7v71rNj3cNkFPtAePG9svjPZ4Of3DTAr72XCemZbGxJcrNJTb5CUzUXZcs4nPJVPqcHBnJEvWJGJaFLArUBl2sqA+zujHMu9Y38jc/OUB/Ik97g5/bV9Tx/e09xHMqYa+Dza0R1jRFSORVZFEgq+i0VfoZzyqEPA5+/6YFpyzr/3jrYjtPNlWkvdrP79948tw7VtZxZCiDbpocH8kiirbk35+/ZUn5HEEQuP+aVr72XAfjWZVNrRGuaz91uwB428oaDgwk+fWxMZySyD3rG1nZGORrz3aQLeq8ZXkt7VcIg/VtK2p54uAwHofIgio7VK4u5GZDS6ScEx7PqSypDdAQciOL8OKJGP4SU/XKhiALq/wgCCyq9rOoFLb8qbct4xMP7mEoVcTrkmit8FLpd7OqvpGHdvVydCSLLAosrPKzpinMeFZhZ08C3bBYWhegJuBiKK2wsiHI8togYzmVW5ZWoZsWI2mFm5dUYZgWIxmFlqiXVQ0h2ip85NUh0gWNLQuiLK7x8a/PdFDUDK5ZUMEtS6oZzSo0RjysbQqf9r2sabTreF8iT33Yw/rmcw+3u1zwBzct5JsvdWFYFu/d1ITXKdNSKfNbm5t5eHc/AbfMjYurCXsdJf4KBY9Dor3Gj0uWiPqceJ0yEZ+Tty6vZVt3HNOyeNvKVo6PZlEMk1ReY2ltgLetrMXtkHj3xiaKr/Tgdoi0VfrQTDtSZ0Glj9/a3MR4TqNjLEuz38tbltewozvBjYurODGWZTSjkC6o1AQ93Lq0iuX1QSr8DsbTRbKKTiKv4ZIF3rS0hmvbK3mtK0bY68DrlGivDnDtwgp002JXTwKfSy6xl8+OpbUB+hMFOsayVPldbF1QMYeWmXusbQoznC6WlSXWNYdPee7bV9Xx5KERVjSECHsdHBxKk1MMgi4ZS4AFlX7u29xkp0AVdYZSdrh8qqiSLRp4nRKb26Kohs0LJI9lSRV0XA6R921tZmNLlG+/3M3+gSQWAivqg9y9toFf7B/CcNtqAS6HRMTr4PaVtezoSXBsJMsNi6oYThc5OpyhIezhPZua2N2bRNVNvE6JVY0hNrSeXXu9ZkEliZzGWFahvcrPksuo3x5MFnj+uB1hed+m5ktcmisfS2oD/PfvbuHd//YKr3XF+cyjB/jivavOS31gNniujHX7s8b/unsFf/HQflTdpLXCy1/fefkrK50tfvA7G9n4hWfJKQaSAF+4ayX3fPncrjFn7PSRSIR8Po+u6zidTjyeqU5gPH5hwobPF/Ps9Fcf5pk7ry7M2/Pqwrw9ry7M2/Pqw7xNry6cjz3/7bkOvvjLI2xui/LgR6+5yCV84+DXR0f5nW9tx7Tgi/es4r2bz32BZL59Xl24rNnp//mf/3mubnXZQNVNDN0ko2p4nDIeWUKWRTv3yQLNtAmzDNPCMC1My8IlnwwJ1UtEPI4SM7xgWQiieMqwXkU3kEshXpmihksUscTTh+ZNv4dZItULeZ1YloWimzPup+smOVUnNAu7Nth5ZJOf41LDsiyKmnFRiGIe3NbN25ZGr5gOdCCex+92XDHkWMPJIvFckeUN4VOek1f1cpjlRL0bSuTIawYLq227aIZZCpkXy3nnk0PgTdNCM0073NayMKzTh8+fD4qagUMU0ExrxrUzRW1K/3Au7aeo6liApxQ6b5gWummett1blkW6YBMynWs7TeVVAm55zgjzJvpHpyxO+T2v6HYotiDgdkjl/koUBBTNwFEKqZ54F4ZpkVd1fE65HD6rGSYFRS+F14tTruN2SOi6zlC6SFP07Ih0TtVnToZpmjabfYlVfXKq1NngVPXjXI9fKkx+5ol6aIdD22MQpoXf48C0QNUNhJJ97ZxhC6cknVYdZXIdmbhfXtHwltJpzvV9nwqTx05FM9BME7/LccY6cKq/T/RRkihQUA3ESeWUS8c0wzyvNns5YqIe6KZZnrdMYMKGomDnik6wzU9OyShqRjntQpZO9puaZpIpKUNMqBlMXLt8T8NE1U1cDgmnLJb7X0kSyCk6COB1nOwnptts4l4F1S6D2ymTLerIov371YRHdw8AcNfahktckqsLtyyp5pNvW8oXf3mEv//5IbYuqKC10nfmL54CP3qtg+qwj5uWXH2cBcWizlj+7MfhKw2HBpO0V54fgfWc9TYf+tCH5upWlwWeOzbGT/YM8NyRMQq6jiyKrG4MsaUtSk8sz87eJGGPg1WNQSr9bvYPpPA5JVY1hrl3fQP9iQLPHBnFtCxUw2RHV5zRjMKSmgC3LK3m7vUNUybpzxwZYW9fCocEg0mFQ0Mp0gWdzW0Rbl1aw1tnISM5PJTmyUMjmJY96X/lRJzuWI6QR2ZpXZCV9UEU3aIh7OGudQ04ZZEjQzY7b1bRWVoX5DNvX1bOezdMi5/vG6RzLIffJXP3+gYqLwMm+e+/1kNRcE95jteLn+7u4+MP7APgk8Bvb23mb+9a9bqvezFxx7++wPGRDKIg8P6tLfzNncsvdZFOi/u+/gqvdsaxgIjHwc9+Z2Z5v/dqDz/bM8hYVmFRjZ/r2iv52d4BdvbYbNcNYTf//JtrebEjhigIqLrBzp4ECALv2dDI3esbGUkXeXS3zU6cKKgomkF9yMO65sgFqS+qbvLongGOjWToieVYWOVnRX2IO1bVARZf+OUR9vWncDlE1jaFERAIex3cs77xlIzNYE/6H9zRx1OHRjBMi5sWV3PTkkqeODiCqpusaQpx69KZIbwj6QL/67EjjKSL1IXc/M2dy8+qnaq6yed+dpATo1mCbpm/fPsyO4T9IqJzLMsvDwyj6iZNES8jmSJ5VWc0XaQ7lieeU1laG2DrggqKmsHh4TR7+1JouknU56Q+7GFhtZ+miJdXOmMMJgs0Rjz86ZsXM5Yp8k9PHqdzPAsIrKwPct2iSlTddrI1w+ChnbaqSMTn5KGPXkt16NSM4TlF58e7+ollVWqCbu5Z3zDDURvPFvnczw4xmlaQRYGVDSH8Lpm3raxl0RlCaIuawcO7BhhJF6n0O7lnfSM+l4yiGzyya4ChVJGoz8m9Gxrxl44/unuAwaR9/J71DVO4Gi4Ffn10lD29SZyyyA3tFfznS90cGcpgWRZBj8xIWkEQ7HDriNdJx1iOiNdBxOtkPFskoxisb45w3+ZmamexRdd4jl/sH0LVTTa0RBAE+L9Pn2AwWcDnllhZH6K1wndW7/t0ODSY5qnD9tjplkVePBFDM0xuXFxJ0ONkPKNQHXRx7/qpLOOxrMIjuwfIFHUWVPm4c3U9kiiwpy/Jc0fH0AyTTFGjYyxnM5X7XbRUeEjkVHb3pTBMizWNIT5z53Kil8HYer54/tgYO3sSDCQK+FwS1UE3d66uo6XCx/GRDI8fGLaJCkuLcZphUR92c8OiStY2Rfj5vkFe7ogxlCyypMaP3y1jWrYS0CudMYqagSwI1IVcNER9fOyWdoZSNtlg93iW7lieRF6lIewl6nPaYfaiQJXfyaGhDLppsWVBlD9982JkUSjbrDnqxcKW0T0ynCFd0HDJIhGvg5G0giTaaYSzzbeuRBwZTnNkOINDEnj7qqvjmS4nfOSGBTx7dJRXO+N88qF9PPDRree1QDfBTg8gi3Di81cPO/2ju/v5+58fQtNNWip8PPqH1yDLV8dC2XAqy1v+6UVyioEsCnz6zeeu/HBJGCqKxSLpdHrKz9WE8azCrp4E27vi5DUdRTMpagZd4zl+vn+YfQMpVN0gVdB47ug4B0oMxEOpIiOpIq91xvj1EZvRWNFMfrpnkGReQzNMDg2lGUjkp7Aaj6SL7C0x/HaP53m5Y5xUXkPRDfb2pzg4mKY/MZNN/pnSPXTD5NHdgwynC6i6wVhG5fhIhlc77RSHgWSBg4P29b+/rZesYrPKHhlK89zxk2z0HWNZOkuyP1lF5+WOy4PIMFliYp/8HK8Xf/6jfVM+f/PV3lOceXng0V19HB+xGW9Ny+KH2y/v8gJlBx4gUdD45kudU/4+mi7y+IFh0kW7rh8dznBsOMPOniSmZe/cDCSL/PuzJ7Asm0H4Z3uH7KgX0+InewZJ5TVeOD5OpqjTE8vRPZ4jmdfoiuXoT+QvSH2x22yBvniedEFnIFngxGiWzvEcr3bGy6znsazK04dGAZvp/EzKBEeGMuzojpNXDRTdZHdfgh9s6y0T5eztS5XVKibjkd2D5eNDqWJ5p+VMeOrQCCdGS2zMRb1MdnQx8ezRsfLz/GzfIOmCxmhaYVtXnPGsQlEzODGa5bljY3SN59jfnyaRUyloBl2xHL3xPONZhUf2DNBdYprvTxT42d5BfrRzgL5Evqwv3Tme5YVjY2XG6Z/sGSRbtNmDEzmVLzx+5LRl3dmTIFZiGB9JF8t2nYwf7xxgNK2gmybdsRyHh9LopsWvj46e8V3s6z9pz/Gsai9GYTN9T6h9xHMqO7rtenNgIM1gcvLxS8t4PpopsqekLqLqJl99roO+eJ5sScrt8FCmrLTySkeMXb1JNMOka9xWU+lP2sz0x0czvDBp3JmMZ4+OluvLKx0xHtzex0Ayj2FZDCWLHBxMoxomzxw58/s+FSzLtpdhWliWxQM7+lFKzOI/2ztEx6jdz46mlRns5C93xMqs7J1jOU6MZtEMk+eOjmFaFoPJAi+eGEfRDYZSBbpjOY4OZ3i5I0ZO0VF0g+Oj2Sns/FcaYiXeiZyi05fI0x3Loeomzx2zbfrMkVF006JjLEt3LMfx0uKnqpu8cHycg4MpToxm6RnPoegGBwfTvNIZw7Isnj82RqagUVQNxrIK8bzOcKrI97f1lu95dCRLbzyPYVp0jmd5rdNegBnLKjx/fJycar/nff0pnj48wqud8bLNdvYk2N2bYDyr0DGaJZ5TyRR1Xjg+TkEz0E2L72+7/MfWs8Wju21FlluWVBM+ReTlPM4foijwj+9eg8chsa07fkHa9dXGk/d/nz6BVnqonliOr7/QfWkLdAHxyR8fIKfYY4duWvzr0+fOvD9nTnwul+NjH/sY1dXV+Hw+IpHIlJ+rCcKMX6b+bfrhKQtvpfDQGYtx0z5P/vus63bC1L+daXVvSrnK353KDj7bdSZ/PkORLwtcqDDEK+FZJ0Oazqh8BYZjOqXpjaD03qe0hZnPNYnE3P7OtPY2a5tk9vp+PhBm/D+JFX369c/UriefOv3hmaV9zvK96ZHEZ/uIwrTRYi6q0Gz3mHjuKf0TE8dOcZ1ZriFONwwTjOSzf+lMEdgzTDnL+SevMd1OZ36Zp7r+zOPCrMcvdSc1/RlnfD7DGDe5/ZyqXc5m59P1CeeD07UxAWapl6e+76z1e7bfp9TRuWl7Fwunqp8n5yonP09pj9POY9L5Z3odp2q7p/vexP3P5l2fbh50pcKyLH5WklW9a918KP3FQmPEyx/cvBCAL/zicFlqcB42pre/OcrimxOIM8bE87nGHOGTn/wkzzzzDF/72tdwuVx84xvf4HOf+xz19fV85zvfmatizAkq/C42tUa5pq0Cn1PG7RDxumTaq/zcvbaBNU1hXA6JsNfBm5ZVs6ohRMTrpCHsoT7kZuuCCt60rAZZFPA4Jd61voGI14nLIbGyIURThY9Vk3KEq4Nu1pdCBxdWB7hpcRUhjwOPQ2JtU5g1TaFZJcbesrwGhyTgkCTetaGR2pAHlyxRHXCxrC7EdSUG86aolxX1dm7xB7Y0E3TboSyrGkPcvPgkg/bCKj+Lauzw2qDHcUZ27blChd8OIZ38HK8XX71vzZTPH7v51MzllwPesbaBFfVBW85QFPjQNecetjPXuGlxZblTq/Q5eN/Wtv+fvfOMk+Qq7/VToXPuyXlmZ3NOWq1yRCSRBIhgENk21xH7Xl/72mAb22BjDM4Bg8EEiSCDQChLKIfVanMOM7OTY+fcle6H6q7pnrBJm5k/v0XdPRVOnXzqvO/zVv293ufkznVNZl23y6xo8rO82ce1i2qsUEMdYRe/efsyJFHA77Tx7g2tSKIZouzdG1sIuGzcsLQWv8tGZ62H7jovNV47XbUeOmo856S+rGz20x520xZ2E3LbaA46Wd7oY1Gthy1dITZ1mC8x6/0O3rTKNH8Pe+xsWXTyCAJlM3KPQ8Jlk9jcEeKDW9px2SUEATZ2hKj3zzY5vmtDK82l/qA15OKuDa2n9Ry3LW9geZOZH0GXjQ9vPf91yCRDm6E037mhmYDbRoPfyTXdNdR6TVr5sgYft66op7vey9rWADVeB2672d921nqo9zl5z6ZWFjd4EQToqPHwjvUt3L25jc5aD26bRMhtZ0m9j5uW1bGi0TSzfu+mNov7Uetz8kdvOXkEik0dIer9polzS9DF2tbArGPeu7mNpoDLIuKvavZjl0VuXVF/yrxY2xqgOWiWZ73fYdWbNS1BWkJmedb5HGwu/b66OUBr6fdar52rOi9uRIo6n4PNneY45bRJ/OYt3XTWePA5bdR4HaxuDhBy2ZBFkRuX1nJVZwiHLNJd5+XqRTW0hlw4bRLLGn3cOE9Ek1uXN1j15YYltXzw6g5aw2Z+t4bMMnHapJOS4k9Ht69oKIXCE/nQ1g6cNjO8610bWywz/aaAk3Uzog9c211rhZZc0uBlcZ0XmyRy6/J6pFIab1xah1OWaAm6WFTnYUWTn5uW1OFzyjhtEssb/bxjXfPrSv/FVNhj5+quMB6HTEeNm0W1Xpw2iZuXmW3gthUN2Evl3lXrYVmDn0V1ZoSCm5bWsao5wNIGH121Hlw2iTUtAa5fXIcgCNy2op6A2wwF2OB3UOORaQm6+JWrO7i6K4zXKbOyyUdnrcdqg9ctqcEuizT4ndy6vA6vw4bTJrGhPchtK+q5ZlGN5da0pSvMVZ1har0Oljf6qPHY8btkbl5Wh9tu+td/+JrOi5i75077hhMMx3O47RK3Lj91/7Sgs9ev3riI5oCT0USeH742+LquZb/ColP+7huWYC+5Di+q8/LJ6zovboLOob5y9wZ8pfWULAr8wRvPPMrVBaPTt7e38+1vf5ubb74Zv9/Pzp07Wbx4Md/5zne47777ePjhhy9EMubV+aDTq5oJUcnkFeRSzFpRFFE1HQEDRTNw2mUMwzDNfw2jKiairhsYmKCboqojAoZQDXeZ636CIJAvqtgkAQNhVpzFSlXeQy2ZrBR1HXcJzqJo+pz3yxfVeQEuqqaf9J4XSpXkTpfHO2++vR69cHiE65dfPhOqqVSWgNOGzXZ5gO3y+TzxPDQGnfOSWJUS/KoSfJTIFFA0jVq/6Sem6QYCpvla+fjKOmoYJkipHDNeM4xzXl/KbWmu9pEvqlb/MF+bO9l1YfrZy89yqjZ4sjZ8Ps6bqdMl65b7xzIIrfy5qGqWJUP5WVVNRxRKACvJjOdezgvDMCgoGg6bZO2c6bpBUdXMvzOdh5VlMJXOU+ud3xd+pk6n/LIl4FYZ3nUmFh/zXf9Mfz/XOt3yrBynwMwLuyRa4xyGgaM0Lmq6OT2RS+0GqDp3LlXWETDbflHRsNsqY7m//v3SyrFT03RU3cBRusep8nyuPqCyjyrXbSuufQnGpmr6BQWnnU/6dbnua7oxq0zLeStQDbarhN+pmm711+X8kSURTdPIFTU8ThtFVcc+AxYslfoETdeRJQlJFKr637JrhH0GDLKyzMqfK8eS8hxNPgfMnfOlMynPLz92hH9++jhvXt3Iv31o0wVK4S+vvvNKP599YD/NASfP/J9bTovFU1mehydUwj5Y3HDphw8+U6mqSrqgEvSc/jh8OWkskaYx4L206fTRaJRFi8zdSr/fb4WUu/766/n0pz99oZJxQVXu8L0u+5y/S6U3ZoIgIM1hGltJ4D2dBl05KTjdgb7yHuXBR64w0JhvInKy618KC/iZOl+T2MtpAQ9Q6zs7AubFktPppPEU/bZtDgp7wFMNfaqc/M11vDkRmz5mppnTuVC5Ds7VPirb05nW1ZnHz3yW+XS2i4ELTV+e7h+rP9vnKMdy3jrtYsVvgnXuzLSL4uzfoDpPz2QBP/Pc+VR+SXo2lPT5rn+mv18szaz/7or8d1RA4GbW49MdVyrrCJh57HKc+zpbOXZKkmiN53DqPJ/rWaSq8X7uun0pjq1nK4u8P0dfdbLoA2XNzIvpeZWE12Xmn2MGWFK2+mBh3vnSzHPmul/5c+VYci6AuZeSHj84BsAdq16f1cqCTk/v3dTKPz11jJFEnp/uHua9m9vO6Pwti6+8xXtZsiwTvEJgdnOpMXD2gOALliuLFi2ir6+P9vZ2li9fzg9/+EO2bNnCgw8+SDAYvFDJOOf6ywcP8ONdwwiCwKdu7OJDWzt5aO8IU+kiLUEXmYLKvuEE0UyBkXi+ZM7lZzSRZzCaJei24XfKTKSKKJpOd50Xh01kKJajNeji/755OUG3nUS2yF8/cpjD4ykkQeD2FfW8dW0zQbeNn+8dZe9QnGimWKK9ymxsD9IUdLF3MEFR09F0g+56D41+F88cmaCg6qxs8nFkPMVoIs/iOi+3LK/nrWubqqj3+4YSvHB8Crss0hx00jeVwWWTePPqpjnpwL8s2jeQ4G3/+oL1/bNvWconblxyEVN0am34/OPEsiao67ZldXzjY1sucopOrk9/+zUeOTgOQKPfwf33zG1qlC+qfPHRI+zsjxHNFLDLIhOpAroOTUEn1y2upTXoQgD2jSQQBYGtXTXoGMSzCh67xGv9URI5lWu6a/hfNy9m50CMV3ojuGwS13bXsv1ElEROYU1LgBuX1s1Og6Lx872jjCfzFv26MqzR3z52mEOjSXQdNrQH6aw1ydQuu8Qf3r+XV/oi2CWBaxfX0hRwccvyepaegp6t6wb3be/ne68MoGoGt69q4JrOMF949DA5ReO25fV89s5Vs84biWf5vR/sYSyZZ1Gth394/3p8rksDWqRqOt/bNsCzRydx2yU+cm0Hyxv9/HzvKNFMkWUNPm5bUY8gCIwn8/y//9nL3uGE6WrU7Kct5Ob4ZIaxRJZEKXTZ4novfqeNaLZIUTPAMEouGBItQTetIRfbeqc4MJrCZZPoqvUQ9tiJZopkihoBl40bl9RZZVrui4fiOZbUe/mDNy7DaTdp8A/tHWU0kac97ObNqxuRJZGCqvHwvlFG4nka/Q4MYDxZIOS28fM9oxyfTOOySXxoazt3b24/4/CPqqbz6IEx+iNZGv1O3rq26byE03y92jsU5wfbBxlN5FnbGuDt65rZ1hfl2HiKWFahqGo0+J1s7gyzqtnPV584yqHRJHlFw22XWNEc4M61TdyyrN7aId07FOfF4xHsskhnjZv7dwyRKaq8cVUjv3L1/O4eiqbz8L5RhmI5nLKIqpshxFRNRxQFYtkiuYJGJFNEVTUQBLrrvXTUeMiUwhS+ZU0Tdb7pl4XPHZ1k33CCyVSBvskMggjvXN+MohkMx3PEMkUkUSCaNecGk6kCY4kCHTUuti6qoT+axWWTeMuaJvKKxt88avYZTQEXf/jm5axtDdI7meapQ2bUmtPpIy43PXd0kv96oY/heI7uOg+fvnkxAZeNn+wa4qlDE+RKxP43rKxHQCSRK9IbyRBJFShqBisafUiiQL3ficcus3MgRiKn4LKJ9ExliKQLeO0yNy+v582rGxlN5NnWFyVbUAm6bWAIHBpLYJclVjb7aPQ7eWTfGEfGUxgGLG/y8cV3rWFp4+u3ShiMZnnswBiKZnDDklpWt5juN72TaR7eN8q23ih5RaOz1s2v3riIJQ0XLoxt31SGo+NpZFHg1mULi/gLIadN4mPXdfE3jx7mu9sGzmgRX0mnd0hw5K+uHDr91549zl8/egTDMN109/zpHRc7SedMqqpy99e20TuZwe+S+dLbF5/xNS7YIv5jH/sYe/bs4aabbuIP//APedvb3sY///M/oygKX/nKVy5UMs6pRuM5frhjiLJHwtee7WVRrdciAj92YAyXTWI4nqN3Mo0gCGSKKsfG0wRdNvKqxmAsi98pkylouOySSaHXzXBKvVMZ7n11gP9182Lue3WQ4xNpJpIFwOC1/hiSKNIWdtFbosL3lejLnoLKYwfGWVrvJZZTGE/mCbnt6IbBQ3tHCbhs2CSR+14dpM7nIFtU2TUYpyXoojHg5Npu098wU1B56vA4hgHxbJHnjk6wvi1EQdF58tA4H7oAPrGXqt717y9Uff+Lh49e0ov4v3vssLWAB3jqyNx050tJj5YW8ABjyQI/2HZizuN+vGuEgyMJhmJZiqpGTtExDJBE6J/K4BAFInVexlN55BIV5bEDo4Q8DtrDbh7dP4phgMch8+yRSVY0+tgzlMAwoKDo/OfzvRZTYkd/jK5aD23haouGV/uiDEbNCBBHx1O0hV2sbQ0C8PC+UfYOJcgUVGLZIjqmefe2vgi5osbzxycxDINoRuOpQxPctbGVx/aPsajWc9Kdt8NjKe5/bZhEzizXJw+O8+i+MQqqaQ766P4x7ljVyNVdNVXn/f0TxxgsRas4Mp7ia8/18ftvXHY6RXLetWcowdOHzcl6pqDy/VcHuX5xHWMl+vq+4QSdtW4W1/v4rxd62TucIK9opAoq20+YZRDLKiRySik+vEgkXSTktiFJIqm8WmKNiLhsMopqsK0vwlSqQE7RmEjmSeQUfE6ZXFHDJonEHDJeh2yV6X2vDtJb6msPjCT52d5R7t7cxo4TMfojZr4en0izdzjBxvYQO/vjnJgyf3+pFOqwOejiB9sHGYhmUTWdXFHl53tHaQy4eNsZ+jvvG05YRP2BaJYd/bFLhkdSVrqg8tDeUSu6wa6BGBPJPLVeB4dGU0QzBRyyRDSj4HHIPHZgjL7JNOPJPHlFx+2QUIcShN12Oms8LKrzki6o/OLwBIZhvkT76hNH8ZR23B/cM8LWrhq66+fe4dg9GLciqbzSG6HB56SgakymCtR6HQzHc6i6TiyroOsGTptEuqCyfzjBurYgBUXn6cMT3H2VOdEeLOW7phs8c2QCSRSo9Tr42nO93Li0jvFkgeFYlryq47JJDEazjCcKNAedHBhJcnQ8xdZFtdbYOhTNliLOGPRHMvzbM8f511/ZZIVbBE6rj7icNJHM85NdQ/ROpdF0g6Pjab7/6iBNQScv9USYTOXJFnVyRY2H943R6Hei6QYHRpIIghl1ZSpdoNHvRNUNdg/Escmmi8ZwPEdR1dENg1xR44XjU6QLKm6bxIkS5b5nUidb1FA0HYcsMZUu4LHLHB1Lkld1BMGMCPJvz/bwd+9df1rWAifTYwfGLOr9U4cmWFRn+vg/sn+MgyNJ+kqhLwUB7t02wGfvXPW673m6eqK0C791Uc0Zv1Rc0Nnr7s2tfOWJI+wZjLN/OGG92DkTFa4wLt7fPn6UklcViZzCp7+7nX/70FUXN1HnSF9+/JgVNSqWKfKFh4+c8TUu2CL+M5/5jPX59ttv5/Dhw+zYsYPFixezdu3aC5WMc6psUaMSKaAZBrnC9EJJNwwU3RxwTb8uA6Pk+66VzjMM0yfMqDjHqAgRUfbPyqta6Rjz/1XNjB9f1Kb9Bstp0QHRMCiUfAite+pGKSzO9L30inM1w7AmCOV7lI/VDANVn37W4pUWx+IMpV9mjz8cz13sJJyxZsI6xpOFOY/LKxqYG6zmeUb1uZph+quqmkHZ4lHRp+u+2X6mJ0epvEpFs55V14va7MJXZvxWeU6u1Ib10kU1zbCOKYdrLD9vuY2putkeT9ZBKyU/XOt8Y3ZayyHSKpWbQb/NFNVZx1wsKZpu9Y1glk1erU5vUTX/XlCn+00M0A2zbAym+0Kj9E8HhFJIMBDQ9FLfa5j1otyeDcO0cND00nnlPlU3rDKemZ5c0fw+s16Uy6Kybmi6gVGqg6qmV48fFfc4EyladUu5FPtmdUZd1XSDQml80Y3p/5Y/5xXNChMJ1WNYOZ/N/Cv/3fzdU3F8QZ1/Nquo1WWi6ma9M9ugbo2NRilNeml8FBGsulKoKCvFGmvNY0Wj7I+PFdISSm3fZpaZ+T8zrZVFpqjmYrKyFyuoZr6oFWV9On3E5aSyxWDl/ETRNQql0G3lFm1g5p9ZbqV8LM9TSmWmaTo6BoYhWG26clBQS+crVXMkpudSmH2CUupPyjIwyCu6VRde7/OWpZfmV+UyLtfF8vMWtVK9ukDs+ydLoU7fsHJhF/5Cqsbr4E2rm3hwzwjf2zbAF+9ac7GTdNFl6NXjWzlk9JWgyvkfnHzMmk8XLU58R0cHd91112W7gAforveyqcP0QxEEgdtXNHDN4jpcJTzk+rYgS+t9hDx22sNunDYJv8vGurYgDT6HZaLeFnYRdpuk5Y4aD4vrzamIzylz10aTHP2uDS0E3Ta8DhmXXWJpo5cbltSypURKrfHYaa9x47JLBJw2VjX7WdsSwO+00RZ24XHKtIRc3LaiHkdpJXNVZ4iw144sinTUeGjwO9nQHrKeL+C2sb5E1/U5bNy01CSUSqLA9fPQgX9Z9PtvqN51f+Py2SbWl5K+8r4NVLrstYdnRyu41LS4dnq32yEL/PYb5t4tvnNtE7U+B2GPHbssEfbYsIkmFMrvklna4GdRnYeN7UFcNgm3XWJTe4hFpXZ2TXcNodJuQ3edhzetbmJFicIuiQLv3thq+Tu2h9101nhmpWFjewhvaRewxmtnVfP0G/Q3r26k3u/AY5fxOmysaPbjcUhs6gjxjrXNdNR4EAQBt12y2tvWRTVVbi1zaXmTj+sW1yCLIqIgsLzRx8ev67DM+Jc3+rl5DtP/j1/XZfkhh9x2PnrtpWNRs6YlYEZRwPQxvWV5Pbcur7fMw5uDTisCxt2bW2kKOBFLUTw6ajysbw1S43VQ47XjlCXcNsmk1Nd4CHvtNPidhDx2mgNO6nx2mgJOru2uoSXkxCaJBN12WsNuljeaprRBt52Q205Xrdsq03dtaLGIsjVeO29d2wjAhraQ9XvIbWNNaRdlfXvQIpIva/SxpLQ7fNOyOuq8DiRRxC5LbOkKc/WiaquJ09HqFj9hj+kO4XPKbGgPnkXOn18F3XauWRSmxmtHADprPbxnYwtuh0xbyE1jwEnAZaMt5KYh4ORj13UR9trxOW14HDJuu2SWS5OPxXVe65rlCACSKPLeza1W3d/QHmTZSUye17YFTfNpYGWTn+agi+aAi44aN+1hD00BFy0hFw1+J/U+J0G3jUW1Xta0BPA4JGRR4Lru6bLqqPHQUeNGlkSWN/otmvkbV9VT53PQGHBS43WwrNGHy266fiyq8yIKAo1+J29YMT22Xre4lndtbKUpYPbRAZeN921uQxQFrl9SY4VcOp0+4nJSS9DFtd211HodiIJAvc/B7SsauH1lAyub/DhtEh6HDb/TxpbOMF11Zp43B13Uehy47DJrWszoFHV+J1d3ha0506I6L4FS5AOTaO/npqV1LK73EnLbCbpstNe4Wd0SwG2X8TttLG/0s3VRDQ1+J1JpPKnzOvjAlrZzwpm4YXGdBS5c3x7E77QhigLXLa6hPewm5LHjd9rwu2y8dU3TBbO4SOUVdg7EADM+/IIurD6wxbTueWjvyCX5QvZC6w2r6q1XVzYJvnr3houannOp3751CYGSK6NNEvnE9Z1nfI0LRqfXNI0vfOEL/Pu//zvj4+McPXqURYsW8dnPfpbOzk4+8YlPXIhkzKvXQ6ff2R/FaZNYWZrkFVWdbFHF77Sh6DrZggoIKJpp6tsWcpHMqySyCj6nVCJSG2SLKjUec3E/mshR53NUQX+yRZXxRB6/y1Ya0My/FVSTxmruxGnkVfMeRc0o7RIZiKUgzwG3jal0vpQONxPJPDlVxe+w43XKcw5OiZyCTRJw22USWQW7LFovKi5lnU+yLph+8V954hAfuaaNm1deHnFU/+6xwyyp9/L20wwrdrH14O5BRhJ5fu2mJSctz3xRZTSRR5ZAFETSeYWpdLEUVs+MDCGJAqm8goE5MTYMs035nDbSeYV4TqEt5EIsmdxX1vW8opFXTP/o+cjWiqaTzqv4XbZZwLKiqjOayBH22NF0A49juq1pmsbB0RQNfgduhw3DMPA5T8+EUdMNxuI58qpGR41pWjuWyBFNF1l5ElO8RLbIQDRLd60Xt/Pi7OXNV56qpjOZKuCQRcJe0+e43MeVJ7plpfMqfVNpfE6ZOp8TRdORBYFYVkE1dERBIOiyI4pQUM2dWwEzCoFDllB1HZ/TRkHVGEvk8TpkPA7ZolrnFA0RCLjtVWVa7otbQu4qoFW5DvicctWkW9V0UqXfAetzvqhydCJNvd9Onc911osyTTdI5pR5+/ALodPpbxM5hWxRJeiy47JLVrmKgoCq6wgIVvtJ5RWmUgVssoBgiLgdIgGXfZZJceX4FEkXyBZVWkPuUxLoK8ukoJq7q05ZIltUcdkkMqVx29zRNbBLEn6XTDKn4rCJs7gDhmFYHIZkTkEzDJoCLms+4LRJ5rOKAmIpysxkqkDYY8PjsM0aWzMFlf5Ihka/i7B3mlmRLqhn1Ee8Hp3vMXSmDMMgkimSyhUJuB3Wy6lMQSWZU8irGj67jK/0AiZX1EyXmUwRpyQiyyIOWaSg6gRcNmJZhbyiEnLbSeQUJpJ5arxOvA6ZgNuGoumkcuaY4LZLZj3QdLKKTp3PfJmQzBYZSeYoKiazKOR1nOQJzkzZooqiGdZLn7LSBZVCaczxlRby50KnU55PHBznU99+jY4aN8/+n1vOyX0XdPrSdINrvvgUE6kC3/jI5pOGw6wsz098dw9ht43/+OjWC5jaC6NXe6fYPRjnnqtbcTqvLBZXPq+ycyjG4jofTqF4xuvQC7aI//znP89///d/8/nPf55PfepT7N+/n0WLFvGDH/yAv//7v+fll1++EMmYV+cjxNyCLq4u9ARkQedXC+V5ZWmhPK8sLZTnlaeFMr2ydDrl+bmf7ufbL/fzoa3t/OU7F8y5L4b+7GcH+NZLJ3jn+mb+/v3z7zwvtM8rS5d0iLlvf/vbfO1rX+O2227j13/9163f161bx+HDhy9UMs65+iMZnj82hSQKdNV6ODaRxiGJ7BuO8+ShCZyyyMb2AIfH0/idNt53VRvJvErAZeO1EzF2DkSp9TpZ0xygN5Kmye/E5ZDonczQHnaztjXAZKpIo9+JjsFEskDQaeM/X+hhKl2ku97Lknofk6k8yxv9TKQKRDMFrltcxwevbj9p2vcPJ/ivF/pQdYO7N7dy/ZKTm4QfHkuyvc+0Orh9RQMhz6VBtL4YSqfTrPurZ9EM05v6R5/cxObFjRc7WSfV5r98nKm06SP9rnWNfPUDl3bs1+++1McXHz2CphvctqKeP7rp5P55zxye4B9/cYxsUWNVs4/NnTXcvKyOpoCLqXSBh/aOcN+2QSKZAk1BJ1957zqG4nn2DyfY3hfF7ZC4eVk977tqdruJZoo8eWicgqqztSvMkjOgQuu6zr8/18urvREOjiYREFhS7+XfP7wZr1Pm/9y/h+ePTeKUJW5fUU8sq9BR4+ENKxsss/759OLxKY5PpKnzObhtRT35os4Th8bJFVU2dYRZ2Tz7/Lyi8S9PH6d3Ms2SBh+/flP3adPMX+mNcHQ8Rdhj5/YVDeeFgh5JF3jq8MQp8zqvaNy3rZ/vbx8kr2i0hd1s6QqTLWq0BF0sb/TTH82SK6osbfDRN5Vh92CcoNvGupYg39vWz+6hOLoODX47Ny+r57rFtbzaF2Eonqcj7OalngjjyTyL6r18eEsbE2mFzloPNy6pnbXTe2w8xSt9URyyyO0rGqxdxEppusHThyfom8owkcqTKai47DLXdtdw87L6k4ac03WDZ49OMhDN0hx0ccuyussKanZ8IsXLvVEcksitK+rxOmSeODhOLGtGHZjpSrD9RJQ9g3EGYznaQi7WtQW5qnPuMEqKpvPUoQkOjCSIZcxIL5F0kYFYlrDHzns3tfHuTdPWR8PxHD96bZBnjkxSVDU6atx01XppD7u5dXk9209EeXjfKH1TmZJJv8RNS+u5fWWDFXXmxzuH2NEfo97v5O7NrSyun11PXzo+xcHRJCPxPK0hJyubA9gkge9tG8DQDe6+qo1rus/cNa13Ms1LPRFGEzncpSgLt69swOuQeerQOD/bPYJdFvnYdZ2WheClqHJ7GI7naAubZvG7h+J4HTK3r2zAP4+1wa9/5zV2D8UJue386g1dPHN0ClEQuGNlPd95ZYBErsjNS+tw2GQOjyXpCHv4ndsWW6Hknjk8wZ89eICCqvP2dU1s7AgzlsjTWevhZ7uHeLEngs9h47NvXcFwIo9uGNy4pK4KaPqfz/WwazBOc9DFpo4gj+wbxyYJvH9LOwORLNmiyob20LxwsoOjCb7xfB9FTec9G1u56RIxXX/+2BQAN5xiPrig86e3rWvmWy+d4ImD4+QV7ZTj7IY/fwzNZtbN5oCdl/7oDRcimRdELxyb5Dfu3Ule0VnZ5Ocnv3HdxU7SOdUnvvUqB0aS1HodfOnt3Wd8/gVbxA8PD7N48Wx8vq7rKMps+NLlIEXT+fneUYql0DSP7h9jfVuQ0XiOn+0ZwSYJxHWDB3ZnaQw4mUoX+dvHjvCeTW28eHyKV/uiuO0So/E8e4fiLG3wcWQsRUHRaAm5OTGV4eBIkg3tIfYOxZFEgaaAi6+/0EskVUASBV7ti9IzkaajxsP3tvUTdNkIuO38dPcwK5p8VT7uM/UPTx4lWaKj/sdzvaxvC+Gdx7Q2mVd4bP+4BXp67MAY799y8pcEV7Ku/7sXKTOGDOAD/7WDY1+4dMN6/N2jh6wFPMBP9ozx1Q9cxASdhv7qkcMUSj5hjx4Y55bW+RcsZpi5w6RyCqmCylgiR8jtIJVX+NUbu3lk/xg/3TVMbyQDhkFO0fjMD/Zw64oGnj06wWSqgN9p48eZYVY0+S2yfFmP7B8tRYaAR/aP0RR0WT7wp9JjB8d59sgkR8aSJEt09D1Dcf76kUNs7gzx6L5RAGJqke9vH2RVc4DRRB5dN2gOumaZWpZ1bDzFq31RwHzJ4HHITCTzDMVMiOETB8dpDpp+3ZX6nx1D1nlT6QiNfudpteW+qQwv90QAiKSLuGzSSU39zlaPHhiryuvmoMtyHarUC8cmuffVQcYSOVTdYCpdZDyZJ+xxkCloPHdsiu5aDw6bxPPH+rBJAlPpIgLw9OEJTkQyFEtwvIFojicOTXBoNEmmqOG2y7x4bIqCqmOTBHb1x8jmVW5aVk80U6R2BvcgXVB5ZP+YBcZ6ZP/onCHOdg/GTJr8RIoTUxkEwOu0oRsGIY+djSfpr/ePJNg9GAfM8g64bGzpujxiA2eLKo/sG7Pgdo/sH6PJ77Ro9S+lIzT4nXTWmryJwWiWF45N0TOZZjJVIJIukMqrNPqdsyJDAGzvi7JvOF4KM1kkr+hEMgUEzMgq3375BCuafKxsDmAYBj/dPcxj+8cYTeTRdJ3hWI6hWI5rFtUyGO1j91CCoViOSLqArhsE3XYEBHKKxq/duIinj0zwi8MTZIsao4k8GAa/+4alVe5vxyfSbOuL0jeVYTyZJ5IpMJkusncwbuXD15/vY2VT4IwI4HnFDFkYyyjsH0ngtImsbzOp+Js6Qvz3SyesfvPfnunhy3evu2R958vtAWAoliWVV2nwO4mkizx1aJx3zeH29Z/P9fDicXOhmc6pfO5nB1lZetn5xw/sx1Va8Ny7bZB6v4Og204kXeTeVwf5+PVdAPzJA/tJ5IoAfOflfpJ5lXqfkxeOT/JiaVMmk1f53/fv5QOlvvHBvSP82o3dSKLAU4fGefKQCX8bT+R54sC4FXL38w8e4NblZr/45KFxmoOuOV/o/dNTx4lmzDT85/O9rGsLzuqrL7QGo1n6pjJIosC13WfO51jQudHG9iBNASejiTyv9Ea4+RQveBR9GnA2kiie/wReQP3O93dbURz2DMX5u8cO8/tvnDvc8OWmf3zqqDUXyxRUPvvTg2d8jQv2Gn/lypU8//zzs36///772bDh8gQVKJpugSfMOLMmrT6RV6zFbiUp2zCmScLpvDpNk68gv6va9GfdmCZJK9o0Ob6gaDOuOZ2GSgJweYCYS7qukylOkxCLqn5SSnW+qFnPBFSd+8uo7Iznv9T5I/tGEhc7CWesavK6QX90fsJ+XtUplqnrhkkXLygquaKOrhtkCqpZZyvaZfkFVkExC69MRZ+r3WQr4rZoumES8U9T5euVydLlp5pKFxkqPZNhTFOXy/dQdN0in8+lmW0wW1Cr6qVuGLPqKUA0W/18sezpDfqZGSTV89UHVN5H041ZNP2yEjnV6hPL/Wze6i91iqpm5WdR1a2/GZh5VQm9NUrnZIqatRDX9DI/3Dygsn/MFGYT6rWKC2bnifNTPq9M1y6/CFRUfVb+ztRMku2lFFXgVMor1XR6sz1Wp7/y+cp/K1Pky+U8Mw+mj9fQNAO9RBjXdL0iaovZl5RDMWql/sAkjxulKATTEQjiOdUkhGvT4zCYY3G5nLMFrYounld08kr1IFAuTytKQellf2V9Lqg6WeXMyrGg6ijaNFm9XMczBZVMQauKcJBTtEsajpWuaCeVc5yZf6vUUDxrfTYw2QZlFVW9al5Veb3yoh2qI3QYBiRL4VeTObVibmVU0aILim7lbaRijND06uMq+9wyd2UuVdZlRTNI5S5+ey7vwm9sD14Q5sKC5pYgCNbC/ZnLIBzw+dTMudbASeaBl5tGZ0SNSs4RTehUumCL+M997nP85m/+Jn/zN3+Druv8+Mc/5lOf+hR/9Vd/xec+97kLlYxzKrddtsxdnTaRTR0hBEFgca2H2hL8RJYEgqWdNJsksK7N3L1Z2eSjpnSM2y7TXtpdqPPZaS7FpA66Tco8mFTs1pB5zKaOsAUv8jgkWoPm7x1ht/XGt97vmBUfulKiKHJTBbl6fVuABv/8wIhar4OOGvM+gmB28r/M+sQMovc13fPvoF0K+ut3ra767rZd+ma4Kyro0l6nzF3rm+Y9Nui2s6UrjCAI2CSROp+dgNvB+vYgoiiwqSPE6hY/NskkudtlkXdvasHjkFhc70USRTx2mcaAk80ds3c3N3ZMl29XrYeaM3AluXVZvQleK1GXbaKAwyZxzzUdvP/qNguWJ4sCi0pE/nqfg0W1Xup980OUltR7LeCRTRJY2xZkY3vIole3lujaM/WGFQ24S/Asj13iDae5m95d57WI3rIosH6GtcK50qaKvF5UN39eb+kKs6zRiyQK2CQBj11iRYliHfbYS5ZFpUgh7UE6ajxIooDfaePq7hp8DhkB0x3GLom0hd1s6ghZlg8dtW5rB9Npk9hS6k+9DpnlTdWm07VeO12101ELKutLpVY1m+lr9DsJue34nWa0kcaAs2pnfy6tbPJb5eawiay+hM2kZyrktrGobjp/NnWEWN8WRC65D4TcNhZXxHTvrPFQ47XTEDDJ4CbdvTqPK7WmJYDPJRP22Al57IS9dmo8DkRRwGmTWFznYV2pvsqSyOaOMB01HhyyhF0WCbpt1PudeJ0yb1jZwJJ6s67LoojfJWOXRRbVesw0SyIb2oO0lMZpj11mXVvAinBR1pIGk4jeGHAiSwINfidNARfXL542n1/fFqTBd2agJr9TZmmDD7/LhscumxEaBIEN7SHaw25rTiIA13bXXNKLsXJ7ALPPK5uen2yO8bFru3CXLHNkSWBd63Q7uKozbIFJW0IuWktRWBw2kTeumnZ3u6Eiuk5jwMnSksvO1V01hEq74aIocmOFSfnqloCV1puX1ln9RDnSSFm3LKuz+uCWoMuKMjBTleT3Vc1+WkIXH9j1Sq9paXXtWbh4LOjc6pZlZt37xeEJLhC67JLULcvrLdc1hyzymduXnOKMy0cfu64LV8l6SxIF3rW++YyvccHAdgDPP/88n//859mzZw/pdJqNGzfyuc99jjvuuONCJWFenS3YzjAMRhN5JNEMiTKSyGOTBPw2mft3DVEfcHJtV5hnjk3SHHCzpjXAWCKPzylj6PBi7ySL6ry0BFwcHkvRGnbhscscGUvRWevB55SJpIvUeO3oBsQyRWq9Do6OJdk5EOP2lfUgiIzEcqxs9hPNmCal5VApp9LBkQQFVWdda8Aa/OaTrhuMJHI4bZL1kuJS1vmGfty/vZ+vP9/HW9c18lu3XfrmPWOxNJ/49k5aQy7+456rLnZyTktff7aH8VSe37llCfHYxCnL89mjE6iawZIGLw5ZqlrETqYK9E2lODSSYnVrgE0dYXJFjal0gXRBIZVXT9puJlMFCqpGc8A1i5B9KsWzRY6MpcgWTeL0DYvr6S6FSptK53lo7whL6n0sqvMRyRQIuGyndZ+8ojGZKhB026zJukno1mgOuub1sZ5MFeidTNNd76HWe/qTx4KqMZEs4HfZ5jXzP12drH2ebl4n8wo7T8RI5hVWNQewyyKyJKDpJhk8ni2SUzTr82SqYC6iA06Goll+cWQCETMcX2vYDHWWyCmcmMqwrNHHUCzL9r4otyyvp9bnJJYpUudzzOmjWO4fHbJE3UlevmSLKpF0EVkSSOdVa5F6Ov11ub6GPfY5XQwupk7V3xqGwXC8On8SOYVkTqHe75hl8l1UdcaTeXO7VYAGv7MqEsBMpQsq0XTB2vEvqDpjpfLY2BHEaavOr7FEnt7JNEVVpy3swi5LOGSRer+TgqpxYDhJUdMRMEP3hT0Oy2QazDbdH8kSdNtoD89Nwy+3T0Ewd2Xr/Q5sosjBkQQ6sKo5cFIOwnwyDIORRB4B0+rI55QtU2xF0zkwnMBpk1jW6Dslpf9kuhDgrExBJZox5zh2SWQ0kcfjkOc0QS9rNJ7j0f2jrGoNsKWzhl0DMWySyOqWALsHYgzFs9ywpA5Ng2MT5lxq5gvNR/aOEskUeM+GVlQBq22nC4rVH1+7uI6xRB4DY9ZiPJEtWnO2Jr+TXYMJXDaRlc0BopkimYJ60j4YTL/4XFFnQ9up51/nQicrT8MwuOaLv2AsmefeT17NtYsXFvIXU5mCyobPP0FR03nq92+iu84765hyefb29vKObx3BbZd45Y+vHH/4sn6yY5C9I3E+cV0XreHZ+XA5q9yXrWsLsjgkX7p0+o985CN84hOf4MYbb7wQtztjLdDprzwtkDuvLC2U55WlhfK8srRQnleeFsr0ytLJynMwmuWGLz2NLArs+7M3XhZhhK90ffgb23j+2BR/8tYVfPKGRbP+vtA+ryxd0nT6RCLB7bffTkdHBx/72Mf46Ec/SnPzmZsOXGqaSOZ5uTeCJAqoqs6PdgzhLJnKRrMm/GkyWeCRA2MEXDb+9G0raSy90T04kuTwWJKQx07AKdM3lbV2eQajWZoCTrYuqjnpTlS2qPL15/sYS+TY3Bkm4LKRyCl47BJfeuwI6YLKm1c38mdvN82pU3mF549NUVR1ljf6OD6ZRtMNti6qsd5Uv3Bskv94rhdJFLhzTSO7BxM47RIfu66TluBsqNAvq7r/6CGLTv/s/76e9tpL27z1zx/cx//sHMEhiXz5vWu5adm5h5KdS73aN8X//tFeCqrOh65u513Lpuve9hNR9g8neOn4FMcn0zhtEjctrSWWUdB0A1EAh03iDSsbSBfMeLuSIHBwNMlgNEtXrYf3X91OW8hNQdV44dgUiZzCmpbAGZHnyxqMZtnRH8Mhi9ywtG4W9G7XQIzeyQypvILHIdMUcHFNdw2SKPDkwTF+cXgCl80007bLItd21550N7ese7f18/C+UQJuG5+5bSktITfPHZs0ychtIQsUVilV03nh+BTRTJGlDb556ckXS6+diNIfMQnsWxeZLhLlfhZMs7P/2THIZKrIutYAf3rnKrKKwm9+fw8jsSzNQTermv34XTKyKFLvd7CxPURHjZkXuaLGM0cn2DOYIKeoeB0yB4aS5BSVTZ0hrivtvnXVesgpZvz4rjrPSaFzJ5Ou63zrpX6OjadY0eznnms6AdA0jb946BCHR1Msb/Lx2beuQJKujIlzUdV54fgk8azCymY/y0uuMZmCyvPHpsy8bg+TyBX54fYBDo6lafQ7uH1FA931Xh7YNYIowJ1rm+iZyrBnMIbbZrq7tIbcBNwy/ZEssYxCpqhSVDUcNonmgIuVzf5TuibsGYzTM2lGdbi2u9baLR1N5Hi1L4osily/pLbK2iSvmP1EMq+wtjUwJ41+Ipnn3lcHiKSL3LCklttXNFDUdJ47OkmmqLK2NTjnjlqltp+IMlCq/2ta/LxwPGLlV3vJpU3XDV7pjTBaIqqXzblTeYUXjpltW9UNgm4b13TXUH+GJvuXug6MJDgyliLksVPrsfGjHcOIgsCdaxv55ov9RDMF3rKmiZXNfk5MZWkKOjk8kuC+7UO47CK/dcsSfvDaILmixl0bm/nuKwMMx3Isb/Jz+4p6Htk/Rq3XwZ+9fZXl9qiU+s1YpsjyRn9V5I89gzHu3zGMXRb56HWdtIVOPU9K5MyyUnWdLV3hec3uL5TKgK01rYGFBfwlohuX1PH8sSle7onMuYgv6z3/9gJHY+Z+7Hs3NfG37914oZJ43nVsLMU939xGuqBy/eJa/u1Dmy92ks6pPvC1V9g/Ykba+MYHztyi94It4h944AEmJyf5zne+w3//93/zp3/6p9x+++18/OMf553vfCc226XrtzWfVE3nJ7uGyRY10vkiD+wewWmT0A34wx/v5e7N7Uwkczx2YAKX3TSV+r//s4///vgWRuI5Hj84hmGYE4p4TqGzxsOuwRjZghkuaSCaxWET2TSHj25Z//VCn0Vqfe1EjHXtQZoDLr75Yh+5ooYgwH2vDnLtohruWN3Ew/tGGYnnAfj53hGWNfiQSyZsn7y+i3xR5U9/doC8oqHrBtv7otYk/8uPHeWr71t/fjP1MtGazz1aRae/5e9eoOeLly6d/oVjk3zn5UF0wyAN/Ma9u9j/52+62Mk6qT793V2kSqCPf3m6h1UBk0NweDTJ8/0ZXjw2xf6RBIYBAgZ9k2nq/U4yBRPCuLTBx7a+KDcvrSOSKdIzmSaWLaJqBkPxHPGcwmfvXMmzRyc5OJIEYDCa41c89jNyF8kWVX62Z8SCKKUKKndvbrP+3jOZ5pkjk8RKJvVtITctIRc2SSDksfONF06gGwZjiTy7B2Ncv6SO8WSeT16/6KQv8F44Nsk3XuizwC9/8dBB3rKmyWrfQ9EcH7muc1aYppd6IuwaiANY5sCtpzHpvBA6NJq04EoD0Swuu8TqZr/Vzw5EM+wbijNeotdPpgp4nDaOjafYMxBD0QwGoln6IxkcNpGgy87qFj9D0Rwfva4Tn9PG4wfHeO7oJMcm0kTTRQqqZhLpbSI9UxmOjKVY3RLkld6I5V8/EM3id8pzLtxOpR/vHOaxA2MA9E5lCLptvH1dC//ydC9PHBwHYDCWpcbj4LduuzL8/Z4/NsneIROmORDNEnLbafA7eezAGP0RE0x2bDzNkbEUR8dTxLNF+qZEhmI5XDbJgovtHIjhlCXyJTeO1rCLxXVeYlkFn9MMH1ZQdHTDwCaJdNd7GY7nCLmn2TIz1TeV4ReHTbJ4fySLTRLZuqiGgqrxwK4Rqz3Fc8WqCAPPHJng0GgKMPuJD221Wws8MOcDX3uu16KtD0az1HgdjCZyHBtPW+fdc03HvBTygyNJXqio/6/0RSwS5nAsx0ev68LrkNk1GGdbadE1EM3iK/nJP7JvjOF4jt2DZlvY0BZkLJHnkzcsOiuz/UtRw/Ecjx8w203vZJrnj01Z7i0P7xuxeEH//PRxblxSS3PQzY7+KD/bM0I5B37zvp1WH///fnIATdMRRYGXeqZ47USMkMfGQDTLH/9kP//+YTMU6wvHp9hd6jcHollCHhtNARepvMJXnjhm1ZsvP3aEfzhJbO+yfr53xIrCMRzP8Ynruy5qFIHyIn7LPGEcF3ThtbUUdvPVviiabszbhg+PZRAd5hj+ox2j/O17L1gSz7s+9I1tTKbNdvL4wQm+/mwPn7zpzEOxXYr67AP72NZnbk5kCjk+/q1dZ3yNC0q3qqur4/d+7/fYs2cP27ZtY/Hixdxzzz00Nzfzmc98hmPHjl3I5LxuFVTdIpGm8loFKdkgWzQ/R7MKqj5NSI2UKmMsWyyDsskrGvnSdfJFrYrGGM2cnFY4lshbnxVdJ1ki8BZU3SIrG4ZREZqofD2DdF61CLu5okZO0ZjKFK37a4aBohnoepnIWjjNnLnyNZPMrV3i3JF9w/Gq6AKFS5hYXFYl1Vc3DA6XJtCJrLnbniooGIZBuaYrulGK7mCSsPUS3T2nmG2qoOgoajkKhE4yr5ApqMQqSMO6YRDPnhkhNF1QqyjI8Zn099L1y6T5Mhk5llUYiefQDQOjFKGiXK8yM+jXc2k4nrOI92DS9kfj0/2BqhtWaJaq9MxI35k+7/lULDM77/IV/WyuqJHKT0fn0A2D4ViOsWTe+m4Y5nGKauZprkRGL+dFPKuQVzTUEp08r5hE6zKhPFbqI3OKVkWxPlVfPJ9GKvpowCqjgVi26vf+aPX3y1mxijplGNN1rPL3dEEllVestqPpJk08nqs4Jm/utKuaUSor84VLvlQ25Wgu5X95RcMwTh5xYWb0iXKdyxf1qrF3ZruoTLtuGFXpBLNPrbxvXtGIZQpV52kVlPy5NDPd48mK8V0zx+zKNM98pmi2iGGYdVrTDYqa2XYq6emXuyqfvaDqVZT3bNHcfAAzr8v5EilZJpSlVPSbZj9gyoxkMN3vVuZ/5X0NA6ufiGeUqnpTnuOdSpX1q6CcPBLJhdD2E+Yi/qqFRfwlo5XNfnwOmVRBtTYaftlU2b4Nw2D38OUXaWk+HR5LVX2vjKBxurooiOrR0VGeeOIJnnjiCSRJ4i1veQv79u1j5cqVfPWrX70YSTorue2SRWyv99mpL5mji4JAZ+n39rC7ilp7TenNWkeNB4/DfOsa9jhoDpm7BjVeB02lHQRJFFh2CtPeG5ZMk1BrPA6LmNsSdE4THW0S77vKjHW6wqIqCyxt8FkxVdvDbrwOmbaQyyLly6JArc9uAVc2zUNc/mXU1q5g1fcG38WN73oqvWtDE44KKFTrZeAWsajC7NTjkLm5FHt3UZ0Ht12iNeTGLotIooAkigScNjwOCa9DxmuXEUWRzhoPfpeNWq+DOp8Dv0tGEAQzskSjn6DbbtGcAfwuG62hMzNrrPE4qqBJldcDk+rusImEPXZkSaDWa0cUBJY3+ljfFiRYotO77RJtpXsvqvPMCU+r1LWLai1avIDA6uYAV3VNt9Far31Ouv3yRr/VZ1T2YZeCFjd4sUlm4mRRYGmjD09FGmt9DhbVmUR6oRRl4E2rGrh9RQOCIJh1QRKp8zsIeWy4bCIhl41an8NyT1jR5KfW68Btl3HIEvU+O7JoAvFcDhMGBtAccFFX2q2zyyLddXOT0U+lG5bUWhR2myRYZOw3r26wdlYkUeCtaxrnvcblpuWN0+OWzynTVqKEr6ig+i+q9bCk3mearJfqf43XzuoKM+VljT6aAk4csojLJlHnc1Lnc9AcdFHjseOxy/idNrwOGbfdBK56HJLlOjGXuus8OErROURBsMrb55RpqWj7K2ZEIKhs1wGXzRpry3LbJda2Bq0yrfM7WNboZ2XFdUJuWxUcb6aW1FfX/0pKeJ3PQa3XbuVL+T52WbTI/iua/AiC2cd4HTJOm0Rnrfu0oImXizpq3NbcyeOQLVcNMPOvbL0UdNks16juGo8VJQio6hdrvHYrL2VJtOj0UE2xN/PW/Ox1yJZrQ1PAaX0GTtvtprJ+tYRcsyymLqQmUwV6pzIIwsIi/lKSJApc1WWWRzlywC+bVrdMt29ZFPjYtZ0XLzHnWB+9tgOx1KkIgsDVXWfe9i4Y2E5RFH72s5/xzW9+k8cff5y1a9fyyU9+kg9+8IOWA/9PfvITPv7xjxOLxS5Ekqp0tmA7TTfomUwjCgK1Xhs/3jmCxy7xzo0t9E1lcNlM4u3Pdo/QFHDytvUt1rnpgspgydTQ7ZAYiuao9dpxyBLD8Rx1FRPPk2nvUJyBSJarusKoukEyp9BR4+Zrzx2nfyrHr9+0iGVN0z6CfVMZiqpOV62bwVgOTTfoLk2MwdzF+sH2AWySyNvXNfJSTwynTeSmipAol4PON/TjN777Gk8dnmBFk4+f/MYN5/z651onJtP81cOHqPHa+et3r7vYyTkt/eXPDxLPFvnfb1yKmopa5alJToZiOcaSObafiBJy2blpWT2DsQySICKLUNQMrl9cy3iqQFHV8TklBqM5xpN56v2OqlCNw/EcyZJLy9n4AxZVnd6pNE5ZmtMPPZFTGI7lcNhECopOrc9u+alG00Ve6Y1Q5zPDYxmGufA/HQL+cDzLEwfGqfM5uH1lAw5ZYiCSJVNUWVTnmdc8cyyRJ5op0hZ2XbQQVPO1z1imyGgiT4PfYZkrV/azXofEtt4o/ZEMV3fXWKE0H9g1xJ7BOFu7wvhc5gLPJguIokBXbXVeDESyDMYyGIb5ImA8lWM4muPGZXXUeZ1Mpgq0BF0UNd36HHCffT4dH09xeCzFqmY/XRUvp3b2x3i1L8KWrpp5w9JdLppZniPxHImcQnvYXUXS749kyCkaXbUedB1e6pliKJYl4LJz9SKT67KtN4okCmzpCjOeyHNkPEXYbcdplwh5zAXqcCyHJEIqb+7Uux0SsijSXuOexaSYqXJ7rGyHYO7K9kxmsElmnZlJdh+KZUnl1Xn7CU032DUQI5IusrEjSF3p2oPRLOmCSlftqV/Ozaz/lflVWYen0gUmkgWag84q8/y+qQx5RUXArPuVY/uZ6lIFZ6ULKgORLGGPnbDHzjNHJpAlkZuX1vLYgXEGo1neurYZj0NiJG7297pm8PUXegl77fz6TYu5f8cg8azCuze08viBMV7qneLt61pY2ujlkX1jtNd4eNPq6hdro4kcsYwyq47liyrPHp3CaRO5YUntaZHmDcOgbyqDohl013mQpYtHp390/xi//t0dLGvw8dhnLk349C+rvvZcD194+DC3r6jn6x+pjipULs9n9vXymz86gk0WeeZ3tl5SbfVc6K8fPsTR8RS/dtMirl50ZUVNeOrgGN95pZ9NnSE+srnx0qXT19bWous6H/jAB/jUpz7F+vXrZx0Tj8fZsGEDfX19FyJJVVqg0195ulQnIAs6Oy2U55WlhfK8srRQnleeFsr0ytJ85fk3jx7m357p4QNb2vjiXWsvYgoXNFN7h+K8/Z9fxOeU2fO5O6pe7i+0zytLlzSd/qtf/Srvfe97cTrnNyULBoMXZQF/OppK57l32yCarrO6JcA3XjDTeVVHkO+9OogoCHz6xkXsHkrgsEncuqyWh/aN43PIvHVtI6/0xQi6ZX7l6g7LtO1Ljxzi0QPjNAWc3LOlnT2jSdrCbnJFhe0n4ixr8LK43sfB0STLm3x01XgZTeRoD7vJleLPtte42dEfYziW49ruGq5fUgeYb4a/t22AaFbhjpX1rGubvcuTLaq82hdFNww2tYdf107Tpax9Q3EyhkkkPxvy+Hy67otPMpos4HdI7P6zSxsSB/BXPz/Ava8OYJckvvnRq1h/ie/8ffXR/fzDM/0AdISdfO+DywDonUzx/PZxZEngbeuaZ0HZ+iJp/vmp4yiazj3XdJAt6kym8gzFcowmTP/pWo+T37l9MW1hD5pu8NqJKMm8yoomH60hN9t6Izx3dJKGgJP3XdV2SuDQVLrA7oE4DpvIlq7wrOOPT6TonczQH8kSzRbpqvXwno0tiKLIjv4Yvzg8QY3Hzoe2dpw0FvZMHR5N8vjBMRyyxDvXN2OXJL78+GFiOZUPbmmz+oNKZbMKH/7WqwzFcmzuCLG+PUg8Z0axOBWp/l+fPs6Th8ZpDbn50rvW4HRWDyGJrMKOgSiiILC2NcD+4SSKprOxPUTQbWPXYJypVIHuei9lG6N4tsj24XHiOQWHJFLnc7C5M3zau4dHx1P0TaZJ5FWCLhuL672WK0aZBzIYzbF/KMahkg/asibTjNvQ4bbldTxycIKeiTTXLKphXVuQvUMmQ8JpkygoGroBa1qDbGwPWruzfVMZjo2nqPHa2dAWmtNyoj9igvLCHjsb281jfrZnmMOjKVY2+fnhjgGOjKZZ1uTl2x/fiq4b7BiIWQTsspnuUCzLwZEkiZyCz2m6fAzGsuwbSrCk3ofbLrFnKM6Seh/v2tgyKx1lGYZRVQYnI6Ufn0jTWyK4r2+bfu7eyTTHJ9LU+hwEnDI9kxlqvA7qxdPbDyioGtv7YuQVjcaAk9FEHp9TZnNHCFkSUTSdbb0R9gwlqPM6uHZxDcmcys/3jjCVLrC1K4woCvRMZGivcRMuWa+sbw8Szxbpnczgc9rMcsNgU0cYuyTy4N4RBiKZUnQYg1hWwS6JdNd7cNpksgWVxfVe8orOUCxLS8hlUe73DsUZK5HgF9V62H4iRrqgsrrFPydV/KXjU7x4fIqmgJN3bGhh10Cc4xNpgm4bK5r8lmn+UCzLgeEEU+kiiqbTF8nQ6Hda/drhsST7hhIkcwrLm/x4HJIJ+Au5zZjQvRFi2SLrWoNs6QojS6JVPkG3jaKqk1d01rYFLIuDw2NJdg3E2DMQRxAFNraH2NAeskzyz1aVdXdFk5+28NxuOsPRLL95306SeZWPlWCTR8bM9rC5M8y+4QQeh0RL0MU/PnWMoqrzsWvb+Idf9DEYzXLz0jpuXVHPSz0RmgNOuhs8/P0Tx5BEkT+4Yyk7BxNEMkVuXV6P1yHTH8nQFHCRzit8d9sAPofMp2/u5pH9Y6QLKm9f38zDe0c4Mp7m6q4wH72ua97n2zkQI5opsqzRh6ob9JTaQWfYza7BOLIksrrZz493DRHPnrxPzSsar/ZFrf4x5Ll4LnllYN+61uBFS8OC5tbKJj8um0Qqr9IzmZ5zDnvz3zxBVDPb943dIb79qWsvdDLPmyaTBd797y+SyCq8eXUjf/2ey8OK9HT1z08d4xdHJmgPu/ncHR2nPmGGLthO/KWuU70B+b0f7GY4ngNg92Cc8jw7U6yGT7UEnaiaTiKnUuO1o+oGRUVnacnvbmN7iP/75uXcu+0Ef/7gIROopBs47RKrmgNMJvNEskW8DplcUcNtl2gJuckUVDpr3HTX+xhN5HDaJEJuO7sGYiTzCg5ZQhQEPnvnClY2B/jSo4fZ0W+6Jdhlkb9+95pZ4eG+/+oAoyXokt9l46PXdl4xBFuYfkv5hZ/swOkxJyjv3tha5b92tnrjV5/lSIk4DBBy2dj1p3e87uueL71wbJwPf+M1C+DjkASO/NVbLmqaTqXOP3yo6vtHVjn5/D2382tff46Yai4eO2rc/PFbV1qhoFRV5+6vvWwBiXQD3ry6ke0nokylC8SzCoZh+rS217j57iev5qWeiDWJkUWBrd1h/v6JYxYI6cYldfzGrYvnTWde0fjWSycsMNGiOg/vqHCbGYxm+Z+dQwxGs7zSGyXoNn1479rYwtZFNfy/H++z7nVNdw2/e/vS08qf4XiOLzx0iKkSSGlxvZeReJajpXppk0W+9dGr6Kytnpy//R+fZ/+oCckxDJPn0VnrxS6LfPm966r8+yv1wK4hPvfTA5SHjGu6a/naPdPhXjTd4FsvnbDgmsPxnOU37HXIrGkN8HKP6dcnCHB9k8hVq5fwj4/sJqXb2TdkTt5XNQfY0B7k5tNw3zkxleEnu4YZjues0IGNpRcvTQEXO/qjPHd0iuePTdI7mbYAeZIoEHDa6Kj1MJUukM6ryJKAohmsaPKRV0xgVvlZfU4byxt93Lmumas6w4wn83z/1UELFnlNd41FEi5rIpXnvm3Tx1zdFSaRV/jWiycAODKWJJFTLT/bN65q4Feu7rQAU5Io8MGr25EEge++0s9EqsDR8ZTlU90zkcbjkIlnTWhXmbb9gS3tvHPD3Av5105ELfq/IMDdm9vmpLgPxbLcv2PIgq/euLSOTR0hRuI5fvjaIIZhhjNLF1RrEbvYU+Dt16095S7CT3cP0zuZoaBoHBxNsqYlgCyJrGsLcOvyBh7dP8Yj+0cZS+SRRJPd0jeZYSCaoajpyKJpJl7ndRDLKrSGXKxtDVJUNSTRZGTsG0pQ57PTGHARdNtQNJ1fHJow4a3pAn6nTLao4XXaCLtNVsXa1iDRTBGbJFguJm9Z00RB1Xjq0ISV/nqfg4mU2ebsssiHr+mo8mc+OJLgLx86hFZq03VeO36XnZ7JNHZJZH17kHesb6bG4+C7r/QzFMtxdDxVuqZZjssaffzK1g4e2z/G7sE4mm5QU1rkLWnwkSmopPIqA9EsumHQGnLx5tVNrGrx84PtZvkcHU/hcci0BF04bRIfvbaTkUSOn+4a5qF9oyRyCgIQ9th585om3rOpddYL0TPZ6Xv+2CSvnTDnHOW6O1eUjxu/9AsLyGsA3bVeAm4bqm7QHnbRHjbdkX6+dzpSQDRTRNV0BEHAMAyagy4aAy50XefgaApr2iIIrCy9IFE1nbWtQfwuG+lckUcPTlBG/esGFvtnLJmjqOjWS7jPvGEp79k0HV2krBePT1kE93RBRRIEXHYJ3TBdGMsuDXsG4xYQ82R96o9eG2QoZs4pvQ6Zj17Xabl3nS/NVZ6abrDuzx8nXVB55HdumMV0WdDF1/v+42W29UX50rvXcvdV03WzXJ5tv/tDi04PcOKvL91ISWeqzX/5BFNpE/gmCPDZt67g49fPH27vctKPXhvgL35+yJpnXN3q4hu/evMZ7cRfFLDd5SZd163FblHVUbRpmu5MKYqKohnWMapmVBGOB6IZAF7ujVgFZ2DSSQHSJRIvmHFJy5POoqoTKdFR0wWVTInYGMsWLbqvbhjWBH6wgnxcVHX6JjNV6TQMwwrTBJDMKVU08CtV46n8qQ86DQ1EqknSifylQ/ieS4/uH6eythYvdZz+HPp5KaxQujid14msUkWbjueLVRThMn2+kmStGwaaYRBJF0nlVcYT1UT3fUOJKpLxiUh125mpZF6pIguPzaCRjyfzGEaZIG1Y7bV3Mk3PZKbqXv2R0yeUjyfzVgg+MH1pB6I567ui6lZIrEoNJ6aPMYBUYbqPOTE1/7Nu74tR+c53Zr7kFM1awAOMxHOUJ83pgrngsO5rwGTazKd0XiNbUNENw+rXKqnQJ1P5uPJ55sIbq28bS5j/TeRMCnqZXq/pBjlVK0UjKKIZ01ELyvT4omoSo8vllSloVtlOJAtV0R7mSu9kqvqYsWTeCjUGJkm7shUeHElVXUfTDSZTBSKZghm5oPSMmYJKNFOojixSUf+OT6SZT2MV1zfzae58nkgVqHy9Xz6u8vdMUauKfjCZPj2ybvlaWUWjoOpWpIxyWU2k8haRWNMNptIFc5wrPW+6oJohUA3zBVqZ9j6VLpJXNQzDIFNUrWvEswq9E2kMpsfvbFEzX7CXaPjZolkX0gWFTKGiLSfzs9pzX0UbKao60RnPfXwiXTU3GIhmrbIrajpFVWcsUWAqbZZruqCiaDp5ZfqYeFahZyJNXtGsa0WzReuZMkWVSGa6fqULKmPJPOPJivKpmCfkFY14rsh4Mm9F69BKfWG6oKJpetV84GxUeX657s6lyv5a0w1SefO7OiMNkRkU+umIFFhlnlf1qsggeUVDVc1nzhY1oiXa/1RGIVcxv6mMEJDMqVV98P556NeVbSWdV0kXzGsUVb3qWUcq+teT9alV16soqwut3sk06YKKyyax5HVaYyzo/Gh9exCAXYMXnhd2sVU5pzAMeObI5EVMzbnVaydmzqnOPELNwiL+NCSK0/RXuyziKpFt59q1ttlk7JJgwWtskoC/goq6qmRa9bY1zdabXwHwlMxSg26bZYrrkCXrXJddsnZMwm67tfPYFHBa97LLIutazeuvqgDZeRwSKyu+g0lC7KydfnNX73fguYIItnNJEgXr7fvr1cZSp1pWa3B+N5FLQR/c0k5lbXXbL7+m/+s3mGaOtZ7p3Z2GgJMG//T3sNtOS8VuUthjp87nxO+04ZRF7JK5UyeX6kLQZasC0bnsEtd011bBp9a2ntzEPOS2W5R4gK4ZYLv2sBtJFGgKmBEjnKX+Y317iFXN/ipA1ppTmLNXqi3kropT3Rx0sbKC7O22y2zqCM46r9K8UxAgXEq71yFbpO659IaVDUgVwKZNM9qAxy5RX1EWSxt8UKp1tV47Kyoo0rIo0Bwwy6nGZ8fntCGLgrWb1XkSunilOmo8SKJgkadDbhs2SbAo/+U+rs7nwGEzrZVEEWySiNchIwoCzUGXRY+3yyKL6zyIpV02r1PGbZcRBNN6o1y2LSFXldvDzDIHMwLEzGM2d4Ssnfegy2btIAqCwI1La6vqol0WrR1Hp00i4LIhlM5rDrhx28z+2ueSrfFAEDgpIK8yX22SMK/Jc1vIbeVJ5XmtIZdFT/c75aqd1o7w6UV1KF/L65DxOWWrrZXLqrPGQ8hl1gO7JNIWdtMUnB7nQh4HPoeZd16HbEUQaA+78NjN6BMBl82qS40BJ+vag4iiOS47bea4apdFnDaJBp8Dv8tWgtM6CLhlKy87a9xVZSuJAuvagtZ3j6O6zgOsaQ1Y9HuAVc0Bq39w2SVcNjPaQmNp7DbHfNHa/XfKEk1BJ2tbA3gcshVVpCngtEyuA6UoGuWd26DbTleth7aK8gm6bdZ9/S4bYY+djhpPKd9t2Ep9Ychtxy5LVgSBs1VXxXzCYRPntPAAqqJ/2CSRmhJx3y6LLKqIANFWcb7XIVvjlyRCQ8k1wCmLeCtcevwuG7Jsfg+4bTSUwMCNAWeVu2BTxc54Y8CJXMozURC4aelsFySgqm3WeO2E3Oa1HbJYNZdaWmHufLI+tavCQqrWa79ogNFy+OGyRcyCLj1tKLnD7ipZDP4yqTKahyjA3ZtaL2Jqzq3uWNlQtY7cUDG2nK4WzOlLOpU5fb6o8rO9oyiaztWdIf7t2V50A962pp4vPnIUSRL5q3et4tF943gcEnesauR/dg4R9th5y5omnj82Rdht5y1rGi1y6QM7B/n+9iG66738ytZ2tvfF6Kxxo+o6Lx6PsK41SEvIxb7hBGtaTJ+2sWSetrCLvGK+/e2scbN/JMlgNMs13TXWAKLrOo/uH2cqU+CW5fW0hWZP1lRNZ/9IEk3XWdUcOCU193JT2dRoX98IWcNBR417XlPhs9E9X3+F7f0xuus8/Py3L32i68/3DPOFhw7hdtq4/1NXE/Rd2i8eDo9O8aZ/2AbA3Rsb+e1rG2hra6N3aJzXRgvIksCtyxpmsRxSeYX/fK6Poqbxoa0dxDIK8ay5CxVJFxiK5Qh7HfzqDV14ShOnI2MpEjmFpQ1egm47PZMpXjweoSng4rbl9ackxWeLZhxXhyyxqtk/6/jxZJ7+SJZ41iRPd9d5LH/1/kiGZ49O0uBz8sYZNORTaSKZ5+kjE7hsErcsr8dtE/mP53uJpIt84Kp2Fs/DgPg/P9rNgZEkb13TSEeNl2i2yG0r6me53MzUI3tHeXDvCEsbfPzuG2ab/ecVjQMjSSRRYEWjjyPjKRRtun/pnUwzlS7SWeummJiira2N8akog2mDXFFDFkVCHvtJXybM1Fgiz0A0S1HVsMtmSK1K4njfVIbxRI7jk2kOjSbRdFjTYvoZqjrctLSW549PcXAkyU1L6+is9XBkLIVuGHhKbk26YbC0wVcV9nAyVaBvKkPYY5/XnziSLtAzmSHssbG43nym105EOTCSZHVLgEf3jfD88SluWFzLH9+5CoBj4yliWYXF9V7CpUVbPFvk6HiagqrhkCWaAk6m0gX2DiVY3ujDaRPZPZhgWYOPrd01c6alrMoyqD9JHzCRzHMikqXO56hayE6k8pyYyloLj76pDDVeO45C/LRMr3Xd4OBokryi0RJ0MRTP4XNOhwozDINDoykOjSUJe+ysbw1SUDWePDhBLFtgU0cYWRQ4OpGiq9aDx2FD1XRWNvtJ5VX6I1nCbhvpornbvLrFjyyKvHh8kv5Ilo4aN0XNIJkrIomiRc+PZxW6aj0UNZ3hWI7moNMyL++PZBhPFmgPu2nwOzg8liJdUFna4LNeoFTq2HiKl3sjNAdd3Ly0joOjSYZjWbwOG4vqvZabSSxT5NhE2toN749mqfHauXV5AwGXjZF4jmPjadIFhY4aDwGXzEg8T0vIfLGzdyhBIqewvNHH8kYfgiBY5VPjsZFTdHKKxoomv0VTH4nnODqW4sBoEgyDta1BljX6rBC5lTpTcNZcdXemFEXh9+7fy1SqyG/fuhhJEjk0mmJ1S4AlDV6OjKXw2GXagg7+84UT5FWdj1/Xydee7eXgaJK3r29ic2cNL/dEaA25WNnk528ePYxNFvnjNy/j5b4Yk6kCtyytR5YFBqM5Gv1OdEPne68M4HfZ+MQ1nTx+ZIJ0XuGOVY283BNhz1CcG5bUcksplOlcOj6RIppR6K7zoBmG1Q6agy4OjCSwSSIrGn08dmD8lH2qphscGElU9Y/nW3OV5588sI/vvjLAp27o4o/fuvK8p2FBZ67xZJ6rv/AUogD7/uyNVrSPcnl+5F+f5Jl+07Ljn9+1ljuvnu0Ocjnrg197heFElk9d38WHrpmbWXG5qjynWt7k46NXXcJ0+ktdC3T6K08L5M4rSwvleWVpoTyvLC2U55WnhTK9sjRXeb7tn15g33CCf/ngRt66tukip3BB8+naLz7FSCLPfZ/ayjWlF7UL7fPK0iVNp7/cpWg6e4fiaDosa/BxdML0NXXJAn/50GFkSeQzty7iwf3juOwy797QzHPHInidMnetb0EumcRF0gWOjKcIuGzUeR0cn0wT9tgJuuz0TqWp9zlw2iQGolka/U4mkgX2jcRZ0xxE0XUOjyXZ0BYikVPonUqzpTOM0yYTyRTorvUQySjEc0WW1nsZSxZI5VWWNXoZjObIKRrdtW5+cWSSTEHjzrVNc759v9LUO5UmO1mks8Yzr4nf2ei2Lz9N31SWsMfGa5+9dKF2l6uOjKR4+788j2YYfPqmLt63anqnbv9wglReZXmjbxbVd89AhD9+4CCiAF+8aw2rWoIMRrMMlkjQP9k5TMAl85X3racp6MYwzJ3BZE5lWaNv3h2kS1FD0SzffrmPiWSR21c1cPOSOh47OEY8q3DH6sY5LXAA/uGJo+wdjvOGlQ28f8vpE1EPjiR4sWeK9pBnTquBvKKxdyiBJMLa1uBZg5qimSJHxlL4XTIrm/yz4nWDuYt5eCyFzymzqtlPQdXZN5xAAKZSBQbjWa7uqqEj7Oa/Xz7B8fE0nbVuWkIuPA4bbrvMUCzDVNqke9+2Yu4duPFknp7JNHVexymjW5yYyjCSyNEWcleZqvdHMgzHZ//+jed7ealniu46LyuaTeuAFU1+REFgMJalJeiq+txRYQ5frtNNAdec5vxgwgX7S8TzRSch0YO5yziRKtBV65mTuH6h1DuZ5pXeCJmCWvKDFtB1neFEDo/dxrJGL40+J8cm0zhkkTevbuK5o5OMJfPctLTutCOQjCZyHJtIEcsUaQq4Wdt67nZDEzmFgyNJPA6J1c2BKsucqbQJKAy67FXuL/1TGZ49Nsnx8TQNAQdvXt3EojovU+kCTx4ax9Dh1uX1jKfyHB5NUVBN8K3DJtEacrOmJVCapyQQBbP9nUmkiwslXTfYP5IgU9BY2ewnni1abUM3DJ48OE7Y4+ANK+v42Z4xCqrGO9a1EMkUmEwX6K7zsv1EhJ/sHKa7zsv/umUxP909YkYrWdPE00cnmUoVuHl5PQ5ZZCBqtpFar50DI0mcNollDT4e3DtCOm8S5I+Opzg6kWJje5iAU+bZo5PU+R3cuaapKub7I/tHGYpluW5x7SwXxbJUVefBvaNEMwXuWNlI2zkA6c6nM2nfcymvaBwqQU7XtZ2+K9eCLrw2tIcY2TfKrsGYtYgv68uPHuTbO01o7L+8fw1vXd9+MZJ4XlS23BmK5vjINR28c+OVZWXw3y/18cCuYZY1+vh/bzhzK4OFnfiSTvUG5Ce7hjgxZUIH+iMZ2sNuVFXjmy/3W4AYwzD9N3TDBOaUzSc3dYT4gzctJ5lX+O4r/RRKJm7xrEJTwGlCePIqDX4nqbxCXtGp8zkYiGTomcrgsknEskVEIOC2E00XsckmQTdTVFnbEqDO52QskSPgtuOySQzHc9R67ThkieFYlnq/E5sk8kpvBF03EEWBkNvGV9633gp5d6VpJp1eFATuvqr1nExQ7/i7ZzhaAQv0OyT2/vmlH2buctJMOv2X7mjkfbdt5tGdvRycMmEnLrvEh7d2WOZlkVSOG//2GXIlUKTbJvHDT2/l8QMT9E2l+fneMXTdQBBMP+mn//fN7B6Ms63XpA47bCIf3tpx0fwTz0QTqTy/fe8uDo+l0HQdn9NGd52HgmpSnL0Omb+7e53lG1zWn/9sP/fvGAYMREHgj968nPdffeqF/PHxFH/24AGUEhTxro0tvO+q6cmCrht879UBpkqQp44aN3dtnN9/bb5dhFRe4TulfhLg6kVhru2urTo3U1D5ziv9FtBtU0eQoVie8WSew6NJjk2YodHKft2Hx5Ils3jTf7jGa0PVzDBjNkmg3ufko9d1VkUVAHPBdd+2AQt8dduKetbOE4bp+ESaB/eMAKY/9bs3ttIWdtM7meanu6d/v2uDGSHjX58+zr8/24Oi6ai6QaPfSVvYTVeNB5ssEnDZSOYUdMOwyvDt65vprvNaEQ/Ko/fb1jVZ401ZI/EcP3ptyIKfvWVN07xuCvuHEzxx0ARHSqLA+69qO+MXvOdiV+j4RIp/e6aHY+NpExBmlMGvKjoCogAhlx27TcAhS/icNjTDQMTkCjhkkS/ctWYWZX2mJpJ5vr99kP3Dpjn6ojoPq5oDfHBL+yldZ06lvKLxnZf7LQjd+rYgtyw3Iy0kcuYcoAxju7a7hqsX1TAQyfLlx4+wayBGPKfgdUgsqffx2TtX8s2XTtBTghU6ZJGwx87xiTSJnIIoQK3Xwfq2EFd1hYhkikyU4HCtIRfv3fz6JrznY6fvF4fH2TNowuMKqoYsCkiiSE5R2TuYsAB2ZdcRAFkSWN8WRBZFBiMZnjw8UYrsoxPyOCwOSl7RZvFM3HYZTTdhw+W/HR5LEs8q1jllPoCimfDL8n1vX1nPp27oBuB72/r5Wakd22WRz799FV1zLJz/4amjvHTcXFB5HBJffs96wt5z/2L4TNp3WTPLc/dgnHf+y4vUeOy89ie3z/mydEGXhv7j2R6++Mhh3rKmkX/9lU3ALwed/t3/+iL7SrBJURT4zw9v4oalp45cczno/h2D/PFP9ltwu61tLr7z6VsX6PTnWoZhMBAxiaOabjCayKNoOhPpokVNNQzQDNMXXdUM0hWE26Pj5q79RDI/TaHPm4RhMOmLZaJ2Imf674K5A5QvTVJNGqo5KUgVFOtzrqhZxOFIpmjRqiPpgnXMRKpgkU/HEnmU0oQ0llUYiU2TVK906YZhhXR5veqZQZxNVpT3gs6Pvrd9EICB2HTe54qaFe4JYM9wgrwyTSvOKRov9UxhGOZOl15BIY5nFYZiuapIAwVFP20y+sXWUCzHRCpv0avzikbvVIbyI6YL6pyk8p0DcaZDLRlWyLFTad9w0lrAA+wfTlb9Pato1gIeTCr32bwjHk8WrH4SZkeCALNPqySy90xmrHIbT+UplCjleUWjdzJdikoAqq5TUDUyBZVETkEtEc8LqmZNFCo1HMuddvSAcuQRMMeDwRKNv38Glb9M6X+xZ8pciBjmGJPIFs3xJZm3xoBETiFeQectnzsYy1bR4+dK12Ap/Nj0MfNHHqiMHKDpBoMXaVzoj2RJ5BTyqoaimWVVVE2Kva4baLpJnk/mVKudD0eny6ig6tbO4sk0GMuVQsGaeZvIKUymCmSV19+PT6amx17zmabzfSyRr6Kpl+vGQNTkZWSLKpQ2AZJ5hW0nokQq2pRJoM9TKFH28yW6fzKv0DORsRbwYPYPc0XQudiqrKujibwVDSCSLlbV9cGKSBvjiTzZUp4en0xb7Rawwk8BDMVzVp+TzCnW2JBXtFK0DFM9E9NlMpEqWKHs0qVoJmUdGpmO7nGgon8oqjr7Ruam2B8Zmz4nU9A4NjE7Qsi50Jm07/l0cMRsKyub57Z2WtClozKQ9sDIqfu3K0l9FfVa1w0e2T92EVNzbvXo/rGqOdLhOaIJnUoLi/jTkCCYZGkwdylqPHZskki9145NFBAwd1hEwSTZy6JQ9Ta4bAJZ63VY5Fi3fZo873PKFmG18nOtz2mZw7nskrVj7rJJuO3TBPsyIdjvslk7kgGXzaLNB9126/iwx0wzmOTUxotoNnmhJQjQeI7cBxoD1URi5yVotnil6T2lXd3KMrTL03RjgOWN/ioTUocssanNND1rCbqpnKd47RLNARdNwUpaskCd9/JwMWn0m7TqssV6mWZe3kh02qQqanJZyyrMjQVBYFPX/DTzqvMaTWuWsmbC3Nwl0nZZZRr/maquop+EajptWTVee1U5t4fdlhtEuNQ/C4KATRJpDrmQBHMXVxLN31w2k4xepu3bZZHuOXbVGvzOqmdumiMt03+r7kvL9ap51u/mNcok2nJ5eZ220s6q3RoDvE7ZApJV3n/Wvebox5sCrqr6fjJXosrnEoS58/xCqCngwuuQrSgSNlnEJplRJURRQBIEnHYJj12yyr/O57AIv7IkzgsZrL6PE1EUpsddh0zQbcN9Dszpa7z2qvG/coytr7AOKafDPMaJzynjsJV3nkXcdpn1rcEqcF7YY6fG48Aum/MMmyRakRbawq4qV6AGv3POCDoXW5V1tcbjsKJzhNx2PI7pfKv3VUQd8ditaAxtYXdVlIzK6D91XofV53gcspUfDptIXcX1mkPT9TtUig4A4LGb/UJZlbT8rrrqKAXLG+feKauMAOGwifO6urxenUn7nk8HR80XEZVuHQu6NLWqVEb9kSzJSzyk8blUZX8hCgI3zxM94nLUtd01VXOk043KU6kFc/qSTkmnVzReOxFD1XWWN/qseOyqpvG3jx/FJop8/Lp2njkWwWOTeNfGFl44HsHnkPnA1e3WAnw0kePQaLLKJz7kthN02eiLZKj1OnDZJAZjWRr8ToaiOQ6MJFjVbPq7HR1Psb49RCKrcCKSZlNHCJ/TRixbpLvkP5fIKSyp95Xecqssa/AyEMuRK2osqvPw+IExsorGO9e3VPlYXmkqmxq9fGiAjGGns9Yz50T9bLXhzx8jllNx2UQO/cWbz9l1F2Tq6YMjfPI7u9ANuHNNA//3pkba2tqIxuIcj2uk8gqrmgOzIg784uAYf/HQIQzg8+9YyY1LGzg+kaI/kuXl41M8fnAcj0Pmq+9bx/KmALpusGswRiKnsKLJf1H9gc9Uh0YT/NcLJ5hKF7h1eT1vWt3Az/eOkcgpvGlVI8ubZvdlmqbxZw8e5Oh4ihsW1/Ebty4+7cX2Kz0RXu6doiXk5j0bW6r8RQGSeYWd/TFkUWRzZ+ikPsYnM9Ut95N+p42N7aE5TZzHk3kOjCTwlY7JKRo7+mNg6Iwm8owm8lzVGWZpg49/e/Y4PRMZOsJu2mrceB02XDaJoXiGyVSRDW0h3rG+adbzgLnD1TOZpsbjYG1r4KR5dWg0yUg8R3vYXeWbfXgsyXAsR1vYXRWC6q8fPsRrA1FaA242lvJrbWvA9IOPZmkpvYAYiGZpDrpYUVGe5TrdFHDNOwnvmUxzYipDg99ZFVpwLu0bSjCZztNV6z2rhce5Mr0+MJzgheNTJHJFEAR0zcAwdIbjBTNcarOfWp+DvskMdlnk7eua+MXhSSZSeW5aUs+Gk4TYq1TfVIbDYwmmUgptYZc1lp4LTaYK7B9O4LZLbOoIVYXuGonnODyWJOCys6EtaNXtgyMJnjw4ztGJFM1BJ29b28Ka1iBDsSyP7B/FMOC25fVMpAocHEmSLWp4HBIuu0xHjZvNHWGKms6O/hiiAJs7wlXhK89G58OcXi2lMVvUWN0SIJIpWG1D1XQePzhOyG3nzavq+cnuUQqqzrs2NBPNKCb7p87LLw6N8+iBMVpDbn73tsX8dM8ooihw1/pWnjw0xmS6wG0rGnDbZfojGZoCLhoDTvYMxnHaJJY3+Lh/1yDZosada5s5MJKgZyLNurYQNR4bvzg8Qb3fyfs2tVk8I13X+cFrQ4wlcly3uJYtXXNHgcgXVe7bPkgip3DHqoZ5fefPhc6kfcPs8rzrX19k50Ccf3j/+lmuRAu69HTdX/+C4XiO7//qVrYuqrHK8wP//DgvDZoWJP/3jm4+fevyi5zSc6dsVuFX793JRCrPuze08Gs3L77YSTqn+tIjh3jy8ATtYTd/c+ciamtrF+j0Z6MFOv2VpwVy55WlhfK8srRQnleWFsrzytNCmV5ZqixPj9fH6j99jJyi8eTv3TiLqbGgS0+/+u3XePzgOJ+9cyWfuL5roX1eYVqg018gabph+Tm1BV08fWQSmySypsXPfzzfg99p53du7UaWzezNFTV6JtN4HTJ1Pgd9UxkCLhvZosrjB8ZZXO+lI+zmyUMTrGrxcduKuWNFTyTzjCcLtIRcFFSNqVSRtrCrClw1GDV9CjtrPUyVfPO667xs64uQyCncuLiGnYMJMkWVW5c1WOaERVXnqcMm2OimJXWciGSRRIEl9d5Tgn4yBZW+qQx+p43280hivdT0mft28OThKda0+rj3U9de7OScUrv7Y/zBj/dS47Fz369ec7GTc0oVCgU+fe8e4rkif/H2NVTuMwzHsmw/EaPO5yDgsuG2S7jsEvuGEthlgVhGwW2XuW15PbIsEkkX2DeUAAz8LhsOmwmOKpvkvtITYSyZ59rumvMSsSGWKTIUy5FXVIZiebrrPRYg7eBIgnu3DdBR4+bGpfVWTPKzNYXtnUyTLWosrvfOuxN+eCzJ4dEUK5r888KQyv2WxyFbO7MHRxM8dXCCJQ0+3nSGMe1fj4bjOWKZIu01blJ502+1xmvnxeNTDMVyrG4OsLLZX4J9Vfdb5f760X1jTKZzLK7zceuKBhyyxGSqQFvYxS8OjbOjP85b1zbSXe9jIlmgNeSiqOnW55lREM6FJlMFxhJ5DMOEjXbUuGftBkfSBUbieRoCDiRBsD4nswr7hpMsa/LS6HcxHMvR4HdcEhFHeibT5GbUwd7JNJmCaronCLCk3ocgmMwYe8kM/uh4moMjSTRdR5ZErukOMxTLcXg0RWPAyarmAI0BJ4Zh0DOZpqDqVe24rBNTGWvsO9lu9FS6wGg8T2PAaZlbG4bBsYk0qmawpMGLTRIZjmV5cM8IimZww9JaVjcHiGUVxhJ5moJOy6Xt9aj8TGUfcc0wsIkCYa/DiitfqWReYSCSJeSxz/n3+Z5vvmcEcx5wbCKFYx73kvOhw6NJDo2mWNXix2OX+fHOIZqCTt6zqRrKt2sgxompLJs7QogSbO+L0RZ2s6zew72vDiJLIh/a0s4jB8YYiGZ527om/C671S6S+SJfffIYdV4Hf/b21WeV1qFYlnhWob3Gjb+inSZyRe7bNoDbLvErV7czEDOtIGfWv7yicXyiuk+9WDoRyZBTNJw2ka7aC1PWC3p9WtUc4PGD41V8BoCHdw/w/x7uRxLhld/fSk3N3FYil6u++UIvPZMZ3r+ljdUtwYudnHOqV09E+OnOEda2Bnjz8uAZn7+wE1/SmbwB+enuYXonM+i6zmv9MXTDnCgeHkshlIBRK5r8/PDXr6Wgaty7bYB4VkHRdFJ5lbDHTiRd4OkjE4A5cKqajtshIwgCv3pDF/dcWx1qYCCS5Se7htENg2ReQRYF3HYZuyzywS3thDx2dg/Gefqwec1opojPKWOTRPYPJ0jmFERRIJopEnCZvqBNARdfes9a7LLI5366nyNjKQzDQJZEruoMA7C80ceb18wfOzRbVLl32wCpvAmduXlZHRvaT8+c8XzrfL6l/MS3tvHU4Wkg2OJaN0/+71vO6T3OpU5Ektz65ect6FnAZWPPn17aYfE2/eXjRNKm75dNFLj3g4vYsmYFB0+M8re/GCBVUJlMFVjW6KPe52QwmiGn6PRNZbBLAk0BF2vbgvzajYv492d7ODCSJJ4t4nHIbO4I01nr4X1XtXH/jkF+vHMYMJkUX3r3unNKE46kC3x/+yBj8RzPHpu0GBWfvqmb1pCb93/tZfKKhqIZdNZ6eOOqxlOS3efTSz1TFmk/7LHzgS3tsxY4r/ZF+IenjqFqBjZJ5DNvWMqmGSbIlf0WmL5bPpfMb3xvF0VVQxAE7tnawa/e1H2WuXL67fPQaJLHDoxhGJAuKNhlERGB545NMpEqmGbFNokljT4W1XoIuu0safBy59pmAB7YNcw3XugtLVp0bJLI0gYf69qChNx2dvRH2T2YQMBAKPncddV5yRRUpBLfxC6LvO+qtnOyWCtrJJ7j/h1DjMZz9EUyrGzy0xhw8sGrOyw/+LFEnh+9NoiqGyZdHwOPXSaSLnB4LIUkCqiaweIGD41+Mxzduza0XJSXqeXyrIweUeM16+D2E1G29UbpnUqTyqmsbgnQFHQiIFhAQpdN5PnjEUbiWSLpIq0hl+kHD0Sy5ph387I6PrS1k8Folt2DcQDq/Q7ef1W79dJrW2+El3pMOnjQbeMDW9rnfJlVmbeSKHDXxhZaQ24e3T9mwfFagi6u6Q7zW/ftoj+SRdUN2kIu3rG+hYKqo+kGsijwns2vP+qJSW2Pc2AkSVEz5wQht4MlDV7uWNlY5TKRzCvcu23Agju+cVXjLJeK+Z4P4LEDYxbUrCXo4j2bWjGAH2wftMpjXVuApV7lvO70vXYiyleeOGpF+JlIFSxo3RtXNfK5t60C4PEDY/zXi30YJQhk2aVF1zViOY1c0Zx/yKJgQQ4dssRtK+px22XyisK9rwxSKF17SYOPh377hjNKa2UEB7dd4oNXt+Nz2igWNd7/9VesfGsNudm6yFxEhdw2PnB1Ow5ZoqBq3LdtgFipT72mu8Y67kKpss99ti/Nb923i/VtQR74jesuaDoWdHZ68uA4n/z2ayxr8PHYZ278paDT/5/79/DovlEAHDaJez95NUvn4VFcbtrWE+HXv7cDVTMjCt21Osyfv3fLAp3+fErRdHpLocVyis5AiRCayivkiiq6bg4SR0tU6PFEwZoIp/IqQzGTzNo3mbGI8TlFI1MajA3D4Jmjs2nRxyZSFol0PJknWiKoFlXdojceraCiDsWyFqm+bypDsTR4TSTz1sA/msgxEMmQLaoWUVU3TB/Qomoec2Q8dVLC9Eg8Zy3gYZrEf6Xr+WORqu89U/NTqy8FfeuFfipBxcncpQ9GiWWm06joBg/tMSdQewbjZIomvVrRdIZjOSLpAsNxM2pErqia1GZN58BIgqPjKcZL1OZsUSNdUInnioyXKODlRS+YbXT3UPycPkffVIaiqjMUN2nRuaKGYcBLPREe2jdCXtEwMEnxZYJyfyRrEZPPRJV9QDRTZDJdmHXMK71R1BJlXtF0tvVGZh0zkZzut8DsB548MGH1C4Zh8Pzx06Pav14dHU9ZJPbhWI54RiFVUEsUew0Mg5yiMRzLWf3i8Yk0mm5QUDX6pjKMJvJoWolQr+lMJPNWX3xsPI1W6reLqs6hUh6OzehneyfPnP58MpXTOJUpYhhmeWUKmpUuMHe0y4uSqXSByRJtuz86DTfKFlVOlKJl6IZx3mjYp6vK+0fSRTMueilPI+liabxTGYhkOVFBHn7h+BRq6UW3YRgmXTxZIJopYhhmiLDheJ5j4ymOVIwzE8kCsew0UbxyDIpnlSpie6WOT0znraYbViSHyvOH4zmePzZFNFM0F5eGwVS6wI7+qNU+1YpzX4+OjKUpqubzR9NF8opOJFPAMJhVpgORbFV0hrnG3fmeD6r7ieF4jlRBJZ4tVkXmODL2+p/pVHqpJ2IR9CPpYhUZ/tW+6X75ld6I1QdEMkUmU2Y6CyqMxKtp9+UIJMmcQk+pzR4ZS5NTp/PrxNSZt+XKPM4WNYuef3wyXZVvlcfFKuqfWU8r+tSxi9tOD45Ok+kXdHmozD04Ppk+q/nB5ajtFf1AQdF4cO/oRUzNudWPdw1ZLy0Nw+DFnjOfUy0s4s9QsihYNFSHzSTIioL5ZlYUBAuM5HdOU+LLNFpn6XiAsNdmEVZtolhlOtsSnG0OWUmdddtkizYPUFNBZbaOscvW7oPPKVtpcNgk7KUYqGViq7MUkxgoPYtsmdfVeOwnBTkF3fYqenPYc+52qi5l1XiqTV4vdTr9td01VJbiJZ5cACuKApj1cnNXEDDp3qIgIIsiAibB22WX8DqkUsxhAbn0L+S2U+934rKoz2U6uYTDJuJxyFV0elEQaA+dW7BduV2W25hcIq+3hFysajJD+wiAAFa79jlNQvcZ36tip9gmCVY/VKnWGc838zuYxOdKinbYY2dpo6+qL2i5QADAmf2ayy7htEk4bdP9pkkalyzT1aDLhiQK2CURn9PsL0tW3IiCgMsuESiZw/pcNqsPE0p0eDCjgFSawtac41jP5ecqE9FdpTSGK9yjKp/dZZesehxwTvfRsiRUmeCHz4PZ/5moMv12WcTvtFn10mWXEAWzv/Q5bfhd0/WzbBJerveOUhk7S2OmgEDAaSPssVc9o8MmVhH8K8cgWRSq6O5V6ZyRTzWl86rrm8SiWo9Jxy/VEYcsUe+rJr/XnINxr8ZjR5ZEbJJp/SEJglXeM9Ma9tiryORzlfl8zwdUWRq57Wa0G49DxmETK44///WoLTS9e+iyi1adBqrcQpoq5kQOWbTmNnYJXLJc9beyG40sCVZbbgxUR5mopOCfrirzUxCmvzcFXFZceaDKzF4WBQKliB0B9+w+9WLKCi83B/x0QZemGvwOajx2y/L3l0GV1m+CILCm9fyBIi+0VjZXuzI2+s98HFkwpy/pTMzpY5kiL5d2r+o8dh45MIZNEqj3Obl/5xBOWeIv3rnK8t3oj2TYM5TA65Bo9Ds5NpEm4LJxdDzF88emaAo4afQ52TUUpz3k4k/uXDXLj88wDLafiDGaMCmueUVjMmWSWstv54qqzks9UxadfiyZI13QaA+5efLQOKmCynXdYXYNJMgpGndtbLH8cvsm03zv1QHANGMbT+aRRYFrumvnnQSVdXwizYGRBAGXjWu7a2eZ714snW/ox6rPPUKmqGOXBHb+0Y14vZe2X9nv3reLR/aPIksCX717HXesbr7YSTqpnjw4xu//cA+qbnD3plY+sSloledLAxle7ongskl013sJuGwIArx2IoaiaSTzGiG3jXu2dtJW42ZHf5SnD0+g6lDjttEYdHFVZ5jGgJN0XuW/XuyzCO83L6s/58+ybyhB71Sao2MpknmFzhoPH7mmE1kW+cenjvLQvjF8Tpl3b2jG73KwdVGYmrMw3c4rGi8enyJT1NjQFqQtPNusWtV0frB9kCPjKZY3+nhfhSlypSr7rWu7a3HaJL72bA/PH5+iJeDiT966HK/r7Ceip9s+VU3nld4okUyBJfVei1LtkEQe3j/KSDzHiiY/Nyypo6jpSILAtd211uQ5miny6P5RfvTaIJFskY6wh7s2tNAQcDKZKtAScvIfz/QyEMuxsT3IO9a3MJ7M01HjJq/ojCfzdNVOMwzOpXb0RzkRyRLLFKnzOVjZ5K+i2gPsHIgxWKLTS4IZ47w56KJnIsWBkRSL672safEzGMvRFHBxVWfoosR8Lpfn2GSUvRPmjvvG9iCtIbdVLyOZIoqm43fauKozjCjAtr4oNklk66IwD+8bZd9wgslUgaaAk2sX1dAfy7F/KE6dz8EbVjWytauGXOl6BVVnc2eoypQ9r2i81DNFuqCxrjVw0ggsO/pjDMWytARNOr0gCCTzCi8dj6DqOlu6wtT7nDywa5j/2TFETlF506pG3rGhhf5IluF4jtaQe5Y7ytkoXVB58fgUU+kChmGQV3W8drlknh2uItyDybU4MpYi7LFzzaKaWX+f7/mAOZ8RTBP87Sei2GWR6xbXEp8cO69jqK7r3LttgCPjaVY0+XHZRH6ye5igy8afvHUF9X6zXIuqzjdf7GM4nmNzZwibJPJyT4TGgJM1LT6++eIAogAfv76TH742RCRd5M41TSxr8lt0+u19Eb63bQCXXeIrd69jXduZlZmq6bzUEyGWLbK8sZol8sKxSb7+Qh92SeR3blvMWLJApqixvjVY5doyEMmyeyiOxy5x3eLak0bvOB+q7HNv+6dXmUwV+PH/upaNl4gL5IJOrQ9/YxvPH5viC+9aw40tIm1tbWz9swcYzZkvs25ZEuabn7j0mUenq4lEnt/94W4imSJvXtXI775h6cVO0jnVn/9sPy/1RmkOOPmrty6mpaHmyqbTRyIRbrvtNut7Npult7eXiYkJVFXlnnvuoaenB4fDwb/+679y4403ntZ1F+j0V54WyJ1XlhbK88rSQnleWVoozytPC2V6ZalcnseHxrntn7YjCHDgz99oWYgu6NLXVx4/wjNHJ/n4dV1srjMW2ucVpF8KOn1NTQ27d++2vn/5y1/m2WefJRwO8/GPf5ytW7fy6KOPsn37dt71rnfR19eHzXZmsV8nknlyikZryM2BkQTZgsbmjhAT6QKabtAacs2505HNKvzr8z2EPXbevbGN/3j2OM0hF++7qp3hWA6PQybgsjESz+Fzymi6znPHplhc52X9PG9Cx5N5jo6nWNrgw2WXiKSL1PsceCrMB/sm0wzHc6xpCZi042SedW1BhmM5ptIFNnaESOdV65nOlnq9oGo9e2Sc+14d5E2rGnjnxrZTn3CRlc6r3PdqP3U+B+/ccObQtIuh6//6SRI5lW98eAvNpwndLgMnRUGgzudgKJrFALwOmY5aD8mcgssmnVOKt6YbPLR3hKl0gbs2tlZFjDifyhU1XuiZ5Ph4ijUtQa7truHweIp4RmFje9AyRQZI5RWm0uaOr6LqJHIKjQEnqbxKtqjSEnRV7eaVeQNOm0hB1XHbZXxOmbFEnqDbNuczGobBUCyHJAo0B12MJnIoqmFByl47EaE/kuOmJXXWObpuMBjNIpdghOdaiazCSML0l88VVWRRZG1rkLFUjl0DMRbXelneFLB27ufSVLpAOq/SEnJVmfzOVDmPZ/bRlXlfafrdO5lmR3+MTR0hFlXQwNMlaGOt13RXmpjj8+nENM8WTXZAGfjVFHBSUHSG4zlE0TQFrrS0yhU1xpJ5wm7TZPPAaILOsIc6v4PRhPm7gcG+YfP3trMA6I0n8xQUnZaQa96xKJFViGaLNPqdCIK5Qxxw2awIATv7oxRUjcaAC49DtnaSi6rOSDyHTRaIZhQ03WBZybJhLJnHJgkomjGrfKz75hSiGfO+p4qxfnwixZ7BOEvrfXhdNmySQF7R0A3TncNll5hKF/E5ZFIFE2iLgfVcZxLDXdcNTkQyHJ9IMZEu0Bxw0VHjoSngrFqAzUz/SInDMd+c5XSVyClEihka/A403WDPYJxGv5PFDT6L4dASdBHLKiRzCk1BJ0PRHI8dGGNTe4iruswoA3ZZpDHgZCJlsnlagi5yima1DVGAnf0xar0Oljf5501/XtGsOhF02xiK5RBFgZagi6PjKSaSeda3hZhK59l+Isba1gBdtV5eOxEl6LaxsjnAeDJP/jTmRDv6Y2i6blLxRbEqDeU2cbK+o1KqZrY9l12y6uzFUNkUu6vWs7CAv8z0e3cs4/fuWAaYL2UADo5M8pG/eR6HLLL3z998MZN3XvTAzkEOjaW4Z2snLXNYF17OimeL7BtO0B52EzqzpSpwGS7iZ+ob3/gGX/ziFwH44Q9/yPHjxwG46qqraG5u5tlnn+X2228/7evtGoixc9QEkfSWgCWCIOC2S6xpCSAIAksbfLx1bTWxXVEUbvn7Z4lliuiGwV89fAhJMFn133rxBG9d24xm6Kia6beVziv84vAERU1HFAT+1y3dfGBLR9U1j46n+MuHDlJQdARgeZOPgMuOyy7x/qvaCLrtPHtkgv94rhdNN8grGjbJ9BMtKBqyLCIJAg5ZZFVzALss0hJy8e6NrQsL+dep72/r5/89sB/dgMcPjrNnMMGfvuPswtZcCOXzKm/75xeYKgGBnjo0wT99cONFTtXJ1fmHD1mf7/76y3znfe2ndd7fPHqY3YMJIukCqm6gltpGvddB2GtneaMfj0PmxqV158QMVtcNfvN7O3mhZwoMg+9tG+CHv3bNWZnDn4nSBZX/e/9enjs6QUHV8ThkVjb5UE1OCq0hF1+8y4w+MZHK86PXhiiqOrmihiiavr3pgorTJiKLIk0BJ+/Z1Iosiaiazv07hhiJ5zg4mqTO66DGayev6HgdMpIo8LZ1zbPCJD28b8wCOzltkgXfWVTnYTKZ579f7kc3DL75Yh9/cbvZhz56YIzRrNkfXdUZ5voltecsjwajWX7w6gDPH59iNJEjp+gEXTb8LhuRTIFsQUMuPcsnb1g0p/vB/uEETx4axzBMEvrdm9vmXMhPJPP8aIeZxy67xPs2txHy2Kvy3mmTuHtzKzVeBy8fn+KPHtiHourYZJG/efdaru6qIZIu8MPXhkoLQhPGZy7CzYKVRRG7LPLeTa0nfRGVyCp8f/sAo4k8xyfSLGv04rLJFBSNQ2MpBAHWtwV5/5Z2WoIuUnmF7786SLqgklc09g8nUHUDAVja4CXkcZAvahwYTaJoOrIo8Fu3LmFr9+kTtrefiPLCMRPe0x52864NLbNCmA5GszywaxhVN3DIIoIAeUVHEgXuXNvEg3tGePH4FJPpAiGXneuX1HLL8npWNQf4wWuDjMZz7OiPkVM03HaJlU1+wh478azC4THT/aAx4OTuzW1VfslDMfO+imbgdci8b0tblX9zpZ4+PMFf/vwgmaJKUTPY2B4gV9St8HldtR403cDnlDkynmJpvc8E0xrgdpgvw953VdtpvYgxDIOf7Bri+68OcGgsVYoqIbCs0cftKxr4wJYOAm7brPR31Lg5UPJ7Xlzv5c61TWe9kP/+qwPITg+yKLBvOE4iZ4YK3NgetF78hT024lkV3TDIFlT+Z+cwiqYhigK3L6+nNWz2FbVeO1NpE2DndcrkFQ1VM5BFODiaIpopmnWzNWT56FemP1fUuO/VARI5BUk0uR9lYFxR1dg1GMcwTCbIUCxn1dX2Gg/FUue4psWPx2Hm/Xz1EOCrTxzhlRL4dH1bkD96ywrA7Hu//6oZlUcWBd65oWXOvqNS5T51NJFHEOCWZfWsawueVXm8Xh0r9dEL/vBXhu7+j52IDjcFTafzDx+6ouj0f/CjPfx0zwiGYXDfq4M8+JvX03GRwzOeK00k8/zxT/aRLPUjH93ccMbXuDScl89SL730ErFYjDvvvJNIJIKiKDQ2Tscu7uzsZGBgYM5zC4UCyWSy6h/Avor4i3uHEiiaYcZUHU8TLxG9j46nSBfUqus9fmjSIqvqOpSAg2CYJGGARFblyJh5n8NjKWvg0Q2Dn++ZTVx88tA4BcW8UDRbtIiyuaJmkU2fPDRh0V2H4zniJUrvQCxrEchPRDJMlBZvw7GcRThe0Nnr357rsWjvugEP7B6+uAk6hZ44Mm4t4AGL6XA56Y9/cuiUx0TTRXYPJtB1g3RBLe34qBRUnXhOYSSet9pCOUTV61UkU2TnQIwyPnkyVeAXpfCR51PHxlMcGk1QKE1Mc0Wt1GeZ34diOQ6MmP3ZodGUNYEdiGYsWn/PRNoisI8m8oyVKMujiTxjiTzpvEo6r5qk9nSR3kmTWK3pRlVfCZApqFVk5hePT0Ep5GbvZIaf7xuzImzEskWePmrmUV8F9X33YOwc5Y6pfcMJxlMmaT9b0NA0nUxBZTCatSjoiqazfyTJ/hnPU9aeobhFxp5IFqwIAjN1YCRp5XGuqFm7XQcrfs8r07//z65hlNLviqrzPzvMXZXDYynr5cdwLMdwaadzNJ5nKGbeu6jqHCjRpefTkfEU2WycY0cAAIArSURBVKLGeNKM2jCRLNA7maZ3KoOi6RRVnYlUwXruYxNpa1zrmUwzURonUgWVfaXFYM9UmrGkmQZVN3ji0PhJ0zBTuwamy3cgmiVSQSMv68BIwqKqD8Vy9JVI4ppusGsgzit9UYql9I+nzN3UPYNxhmJZplImqT6aKZLKKRiGmf/9kSyTqUIpH/Kl8qnOv/3DSZRS1IZ0QeXY+Px09gf3jpBXzbCQiqpxcDRFpqgxkcpTVHVOTGUYjGaJZopkCxpTabPejCTM9pXKq6dNtI9nFQ6MJBlNFsxwtLr57MOxHLGsYpH69w8nqtL/9JFJ6xrHJ9KkZsxZzkTlaBZHx1NWHdR03QqTC/Di8YjV9zx/fIq8at5P06ojWTxTka4Dwwlr3tQfyVplbRjw9NHpulWZ/t6pNInS3KagaFVj2TNHJi06/dHxlBWhJ1vUrL4Q4NmKCEDz1cOiqrOtgoy9ezBOIjsd/aIclUedoy+cS2PJPKOl8jcMs1+5WPrYdV08/we38PulHd0FLehS1VOHJ6wIWXlF4xsv9F3kFJ07PX9skmRFP1KeE52JLutF/De+8Q3uuece5Ao66R133MHatWtZv349Tz/9NP39/XOe+8UvfpFAIGD9a2szzaErTR2ddglRNImINknAWSKQ2mURxwx4W2eNp4pwXKkykdQuixb0ze+Uq46byzS1ksooiUKV+Z23RJ0OuatJqBaxWBQturdconGXr+M+CzLrgqpVN2OX1XsaOyoXU+0hd9UujOsCA3XOhVafRigcr9MkLAsCJUq9SZUWMKnXsiRY0Rl8c5Dbz0buEi29LFEUaPKff3K7z2nDZZetchUEAYfNtL4Bk8JeWyJSV/Zrlf2Qo6IvEwUBT8m00uMw+yfrOEmsOg/AN8MceebfzT7KTItNEghX9FUCWOakNnm6XnrnMHF+PfI5ZRyyaZ0kiIAgIApmPykLlfeVrD51pirTJAjMaYYNzDq/XL9m7raWf2+YQaKt8528rGaOOzPzf6bK93FUnG+XxarIJnZJtK5TeT23XbKstUxKunkNj1226hdUjz+nI98Mcrd7DpNyr2P6mJnPHHDJpiVIKQ3mmCfgddrwlsZUh2ymvZx+l12alY/m885dLvN9r1S91/H/27vv+CjK/IHjn5ntu9lsNr0nJPQeIPSmomDH3s4K6unZ5eQ87A09u6d3/sSCqHfYu6eAClKU3ntoSSC9t+3P749NliwJPZCQPO+7vGRnZ2e/M8/M7Dwzz/N8AYWGh7cWnRaN4v/dDfpOTfC2Dzp+jvD8Y9L7syToNEr9uUzxX5NoVbSqEthfDtzPGpdNc9csx8Ji2L9fKErwd4YYtYHtYTVoUBryoShgaVTOjbtvGHSawDWL2aANGr3depD9oPF0VVWCjkercf/50KDVBK7J1PpMFY3na6A94Nqq8XdaGjU1N+o0mOpfH3ieOpLzlkWvDRohv6XPdUdDURSSws1NWlJJUltzYCaJ1Mj205w+8oB6RNgxDBR8yjanr66u5pNPPmH58uWAv6+8Vqvln//8J926+e8udunShQ8//JDHH3+8yecffPBB7rvvvsDrsrIyUlNT6WHzsK6gBofbx439rCzc7h8B96w+Ebi9VXgdgszUcAry9gUtzwac39nAD+vzMKoKaVFmtuXXYNCp/GlQChpHKfF6Lf066dldVsrgGB1mj5Z1ueWEW/TcPCAl0L+lweBIwRabPwdwjygznWO1lFaXkmA3EeqtJDe3igmd9OTn1VFc5WJiVwtFVW7Kamu5rLuVveUOKh21jOlmR6d14HDU0i/RRmVxAYd+htM+5OTkAJCdnU1YWFiLLvsf4+O45M0cymtdmPUqL52b3qT82pIIFS7sYuR/G/IxalXuH961TccL0N3iYEOe/2mVQatwbb8u/JvDl+cVPcx8tXofRrMXW4Se/Mo66txe4kKgW2wIem0dJq+L3jZ9i22D2zPDeP3XHTg9Xs7qEkOKse6Eb18jcFkPEx+UF1JU5SQ53MzlmUms2FVGtcvD6d1jUOpKyc0tJUoRJOhqya90MDTGgNvrpqKulrNSjZTXOahxVNMnwUZNWSE19Q9L+9q9bNhXQV+7B73WR7gR+oRp2VdRit2sJ8VoaLKOmZH+LBqqqnBVLytb8vwtAwam2BkcFcYLcwooq3UzpFME6Wb/k95+YV62lpWhVRUGJEe26HZL1PnobvNQafOQ63NRVucm3Kinf0oY2/Kr2FFYg92i48xUPYm65suse6iH4oJKalweesWF4igvormHaNGqIF7nb+WQEGbC5vOfoyMbbfv4MBN2UUVubjWXdjWxZYeb7OJaUiItXNrVRG5uLnYhSDLUsa+8joxwA4qqkF9RSka4AVVVyKsoJSbUQJRqIje3tmkg9UKEINXoQBjrMLtdROshJcJCtcvLamcdqgI9Qo3E62rJzc3FBKSZnOwprWFIjIEEncrW/ArSwowMSLKQV1lKZoyBBL2WLXkVRIcaODNFF9hmR3K+7Wv3Ul1SgcPjo39SGGVF+RzY9iJR72OPpoaSaicZ4RZ0Wsgq9O9zncwGrupl5pMVpegMLlIizNipoafNhKuimN42D5vqqsiMEhRXu1EVN2M7RWHQwa7iWgwWJ+FGQbJBJUz4y6dBgs5HdP33JoebMbsryM1t/gnrxG4mdmV72FlUhdWiY3BKCNX1T32dXjddIrTotQqVjhosEV4s2hrCQg2AoLy2lJRwC0bXwZd/oBFxKqWF8Ed1DVVOD2F6HZmxRtItLqzeCnJzK5vEnxYVwpKsYjw+waDUcIryjz6/ckOZRlCJo87F0GgznYwGlu72l8f5/eLYvK8cgeDSbmFsL6yhwuFi0gAb7y8pY3thNZEhBu4ZmUBWcRk6jcplPW1s3FtJrdvDhNT94/j0CTOSajSxKKsYq0HHhQPj2FZQ3iR+FehmdZJVWEOkWc+QbmbWZvvPOX/ODOPbtflU1Ln4U287q3Mr2FFQQaLdxOndY5i/rQiTXuXiAQnsKN6/H5YX5VPezPpf3dvCpyty8QnBxJ4JFOb7r/uMQLrZye6SGsJDDCTpjUd03uob7mH93gosei09W/D350idyGsi6eRrKE9fVSE+p39MlWirrs1f2x2Nh8ZG8/cvN1Dr9NA3KYyzUk/+cXOipFtgaIw/e1F0qJ7Tkvw31bxe7xEv45Qbnb7BO++8w3vvvceiRYsC02644QZSU1N57LHHWL58OWeddRbJycmsXbu2yeedTidO5/5m5StXruT0008/KbFLkiRJkiRJkiRJUoNly5aRmZl5RPOesk/i33nnHW6++eagac899xzXXnstoaGh1NXVYbfb+fDDD5v9/PTp05t9Qp+Tk3NSUjVszqvgl83+vmGb8srJLqkjIsRAfmUdLo+P5HALTrfX3yRYo5JbVkuty4PFoMWoU4mzmbEZtfy4sYDGd2EsBpUesTZ2FFah1SjYLQZ2l9SAf0wdPF6BUa8SazXi8HjpFmMlu7SWwioHFoMWnUYlr9yBgECf74NRFX+TOlVR6BYTQrXTw7760VqrnG7qnD4MOhWn24cATHp/s1aTVkNyfe5eg05lWFoENc79d55sZi1/Gpra7Hc6PV7e/i24T8zNo9Oodrj577KcwDS9TuHsTgZ69epF13tmoTH4m+CMSI/kxSsyjqSIDqn3oz81mbbh8fHHvdwT5c0FWfzr1x2B1xpVYfUjZ7ViREcvNzeXXr160e+vH1Hu1uE7/EcOSaP490kAl1cghH/QJbfHR7XLS89YK6qqklNaQ1L4/maH1w9P4bTuRz8AiRSsoTwbn3NnLt7JW7/tDPSdVxR/N6ayWhc+cfhzUoMku4n/3bM/veiQZ+ZS5/Qdcp9RgIEpds7uHYNQFFbsKg0MwNU1xkKty0eczcTu4mp2l9ZirG+2HR9mZETnSM7tG8+mfRX8umV/n9/kCBPn90s4qu1yqmooz+c+W8TGInegz7DFoLJhbyVlte5A+ek0CvE2I9mldRzvU4SGFthC+MtQVRW0GgWNCg6XD71ORa8q+IBuMaGU17rIKa+jvocAeo2Gq4ek8Oex6ccZSfvT3DHaUvLK6/hi1f6xZKwmLdcNSw28nv7D5sDYPwDjekbzp6Gp3P/Jan7Z4u/7Xt9VH73W382gYXyQg1EArUbB4/UPmugVPtyHeeil0yh4ff7fB40C3sB+5v8dNWhVqhz+hTTsyyEGlXibibHdYrhrXJdml/t/C3YExhoAuGZo8gnPatJQnudN/wqd0f+blhZl4ZHzewXNt3BbEX/9bE3gtUZVWfy3MzjQoKfmBsZkAnj0/J5NMt9MfGMR+RX7xxE5p3c8j1wQ/H2X/Htx0BgUERYdv/41+KHaf5bu4rWfswKvzXotv0w5LWieaoeHcS/9Gvy5m4cFZf5oiNvVaF85p08sz17SL2ieodPnUu3YP0+YUcuiB4O3wbxNBXz4x/4uu4nhJp6a2Cdonme/38iHy4KfHDd3rXjgNeWgZBszJw0Nmpbx+BzcjbZ3qLeCjf+8mZycHPQmS1C3PunUU1lZSVJSEp07dz7iz5yylfglS5Y0mRYTE8OcOXMCr99//32mTp3KDz/80GTeA5vTN2y80NDQk1KJ76Y1smKff6Ca5FgdFZ5ydHotdkWPyyPQmfRoDIJOURZKql1UCx3eaicWk54Qg5bkWCsGrQZzSA117v0nmuQYCzqTgbAwDW6vjxCrAbtHS63L4x/0xicwm3RYQ03YVZWUuFDKPeVU+fTodSoRFh01Pr1//kP8Hir4K/B6jYpJr8ESYkFr8FLp06PTa7Boffg0Hv8PoMYLioJWp2LUaugcbUFVVbw+QYzNyOBuiWzYWxG46OuZHHbIMkhPrGZv/eA6iXYTkeFhhHl9xEfXBAbp6hFnJTTU/8OqMZjRGCwoisK5g9JbpHxVQ9N+OW05T+flQ7vy9h/5gQGjoqyGNh1vcxri7d0pliXZdRzv1X/PeCs5pXUIITAIMOlUtDoNGgF6s8Bg8V/kdE+xBn7wjToNg7smEnoS+ry3dw3l2ficO7xHMrPXlPgHpFIUoq0G7CYdVXvL/RfsR3jn5tIhaUH7d0pspP8i8RD7TIhBg9ESwoieyZTWuMmuFFR4q9FpFKIi7IERzqPRU6sY8Hh9/hHrI0LplRpLaGgo3bVGVuY5A/tLr9ToU+44O1YN69kjJYYiXw2O0loMWpVuMSEUObVUF1YHzj8Wo5aYyBBKXCq17mM7kJX6P38/c39lTFH8Y8BYDVp8QuDVeNDrVCx6DUa9Fp3JSKjWSJSip8rpBSGwhRgY2TOpw5TT0WjuGG0pBrOF6Oz9A/D2TLIFfUdG53iyq/fi8QrMeg0ZafGEhoZy2dCuLNxdGzj+tCroNP4+88LhwdPM7tTQE12tHyvFoFHQqCpenw+v6+AnFQ2g0SioYv/nFZ/w72eqilGn+rNwKC58PoGvfh6dUYstLIThh9iveqbEBgYCjQzRkxAdccKzBjXEYg6xgs7/G5bZNaFJjCN66Am17aKm/posJcLS7HrERdnJK/cP1mfQaThnQCqh1uBro8wuCfyw3t8VQqOqXDC46TXYBZnpvDIvKzCA2eBuMU3mOXdgOm8vLcRZf9elW1LT68TQUIiLjAgMXhtm1tM/Pb5J3MkxEeysH0RRVRSuHtm9ybIGd0lkfqMBEEf0anouH9Jdy1ebSgMDUA/uEtdknjvG9+Y/a0uDpjW3LTUGc9DP073n9G0yX1JsOLtL9t8QOS09jI31nx36whIS7CbG94zlztO7HHHaQ6nt0WiO/GbMKduc/kiZTP5+hhERh06DU1lZic1mo6Ki4qT9mJdUO9lRVEO4RYfL62P5rjJSI8yEmXWsyamgW4yVngmhrM+tIL/SQY3DjccHA1PCCDXpKapyoiqCf/xvK3mVdVzQL57z+iWwo7Aao1ahoMqFVwjGdong01V72ZxXRd8EG3qNSohRy1m9YtlX4aCgso6yGjdF1U56xIWSFmnipTnbySt3YDVp2JpXhccHMVY9ZoOWztEhaFWVHcU19IgP4cqBSSzdXY7FoKVTpJlv1uYRYzXQLSaEL1bvI8ysJa4+f2tmSgTn9Ill+e4ySmtcZCTb6BITSpXDn/6nISXQoVLhuDw+NuyrQIFA6jzwjwi9cV8FBq2GnvGh5O3bS1JSEq/+sJotJV7O6hXTovnRG6dAOxVSeizaXsRz/9uC1aTjrasHEGI5ObnMW0pubi5JSUmUlpby/K/ZrMmpICZUT0Wtl5zSGqqcblwe0GjA7QWDRuGe0zsxe2U+NS43Q1LCWLe3kvI6D6O6RPKvPw3i0xXZ/LqliIEpdoalRfDV2n1EhegZ3zOG37YXE2LUcV6fOH7eUkh+pYPRXSLpdMBdfenYNJTngefc5btL+O/SHOwWHbeOSaOw0sUXq3LZUVRN1+gQlu0uY3NuBR5Ao0LnqBBO7xHN3E0FlNS4uKBfLI9e0Dfou9xuN/d9to6sgho6R5lRVZWtBZVkl9aCUOgWG8LEjCQGptjpnWBDCMGW/CqyCqsJMWjpERdKRIiejfsq8foENpOWnUU1eH2CLjFWOkfv3yeKq53srD+vd462nqzN2eoayrO8vJycav/o4BEhBvok2CivcTFzyU4251cTGaJnQIqd4emRaBW48z8r2VlSh04D8aFmYmwGiiodlNZ6iA0zkh4ZQp3Lw87iGhRFYUBSGA6Pj9IaFxEheoalRVBa42ZDXjkGrYYByXb0GpXiaicokF/hpGe8leHpkfy2rZhwi57usVb+uzybGoebiwYkMrjTkafJ60gOdoy2lGqnh815lZh0GnrFB//ue7w+/thZwu6SGvomhtE3MSzw3mcrc/hsRS7hIXqSw83UOL10j7NiN+v4vwU7qKh10zXGSlmtC4fHR4LNRO+EUDbtqwBF5cqBiewqrWVTXiVGrcqy3SU43YKMZCv7KlwUVDoZ0imcjGQ7i7YXYzFq6RxtYXdxLU63D42G+rSbRkCg16jM2ZiPy+uja3QoYWYdQ9MjGJJ28P3K6xNs3OcfM6RXvO2kPEVtKM9V23NZV+gm0W7ijB7NtyrbUVjNK/O2EWLQMO3cXs0O/Flb6+a+z9dR5XDzwIRu9EtqPmXrK3O3sa2giokDEjirZ+xB5tnKnE0FZCSF8fTFfZudZ212GW8t3EmkVc/D5/QIGtS6QXG1g+k/bMHrE0yd0J24sOZvuN/8/nL2VdRx66h0LshovrXUbR8uZ1V2OcM6RfLKVc234NxVVM1v24uJsxk5q1fz6/blymymfrEBVYHZtw6hf1LT/SK/rJozX12My+3lvjO7cOvY5ltwXPz6InaV1jC+Vwx3DIkkKSmJJZuyuer9dYF5UiLMfDR5CIn29jMIXEdwLPXQdlWJLy8vp7a2lvh4/523r776ijvuuIOcnJzD5kdtjUq8dGKd6AsQ6eSS5dm+yPJsX2R5tj+yTNsXWZ7tS+Mbp26NkZV7ynjyu03kltXROTqEr/4yolWzIEhH51jqoe2qdCsqKrjsssuoq6tDVVWioqL47rvvDluBlyRJkiRJkiRJOpUoikJkiIHxvWLpm2jj4n8tIauwmqe/38z0i/scfgHSKatdVeJTUlJYtmxZa4chSZIkSZIkSZJ00sTZTLx0eX+umvEH/12WzaUDExiYEt7aYUkniNraAUiSJEmSJEmSJEnHZ1h6BFdmJgEw/YcttKNe09IBZCVekiRJkiRJkiSpHbhnXFeMOpUVe8qYv63o8B+QTkmyEi9JkiRJkiRJktQOxNqMXDMkBYB3Fu5q5WikE0VW4iVJkiRJkiRJktqJG0ekoiqwKKuYzXmVrR2OdALISrwkSZIkSZIkSVI7kWg3c3afOABmLt7dusFIJ4SsxEuSJEmSJEmSJLUj1w9LBeC7dfuodXlaNxipxclKvCRJkiRJkiRJUjuSmWonNcJMjcvLD+vzWzscqYXJSrwkSZIkSZIkSVI7oigKlw3yp5v7dEVOK0cjtTRZiZckSZIkSZIkSWpnLh6QgKrA0l2l5JTWtnY4UguSlXhJkiRJkiRJkqR2Js5mYlh6BADfr89r5WikliQr8ZIkSZIkSZIkSe3QuX3iAfh+nazEtyeyEi9JkiRJkiRJktQOje8Vg0ZVWL+3guwS2aS+vZCVeEmSJEmSJEmSpHYoIsTAsDTZpL69kZV4SZIkSZIkSZKkduqcPnEAfL9+XytHIrUUbWsH0Nj27dv59ddfKSwsxOfzBb33yCOPtFJUkiRJkiRJkiRJp6bxvWJ4+OsNbNhbSU5pLUnh5tYOSTpObaYSP2PGDG677TYiIyOJjY1FUZTAe4qiyEq8JEmSJEmSJEnSUYoIMTAoxc7SXaXM21zAjSM6tXZI0nFqM5X4p556iqeffpqpU6e2diiSJEmSJEmSJEntxpk9Y2Qlvh1pM33iy8rKuOyyy1o7DEmSJEmSJEmSpHbljB4xACzdWUpFnbuVo5GOV5upxF922WXMmTOntcOQJEmSJEmSJElqVzpFWugcHYLHJ1iwrai1w5GOU5tpTt+5c2cefvhh/vjjD/r06YNOpwt6/6677mqlyCRJkiRJkiRJkk5tZ/aMIauwmrmbCrigX3xrhyMdhzZTiX/rrbcICQlhwYIFLFiwIOg9RVFkJV6SJEmSJEmSJOkYjesRw7/n72D+1kJcHh96bZtplC0dpTZTid+1a1drhyBJkiRJkiRJktQu9U8KIzJET3G1i+W7SxnRObK1Q5KOkbz9IkmSJEmSJEmS1M5pVIXTu0cDMHdTQStHIx2PVn0Sf9999/Hkk09isVi47777DjnvSy+9dJKikiRJkiRJkiRJan/O7BnLJytymbupgEfP74miKK0dknQMWrUSv3r1atxud+DfByN3LkmSJEmSJEmSpOMzsnMkBq3K3vI6tuRX0SMutLVDko5Bq1bif/3112b/LUmSJEmSJEmSJLUsk17DqC6RzNtcyLxNBbISf4qSfeIlSZIkSZIkSZI6iDN7xgAwd7PsF3+qajOj01900UXNNptXFAWj0Ujnzp25+uqr6datWytEJ0mSJEmSJEmSdOo7vXsMirKedbkV5Fc4iLUZWzsk6Si1mSfxNpuNX375hVWrVqEoCoqisHr1an755Rc8Hg8ff/wx/fr1Y/HixQddhsPhYOLEiXTt2pV+/fpx5plnkpWVdRLXQpIkSZIkSZIkqe2KshrISAoDYJ58Gn9KajNP4mNjY7n66qt5/fXXUVX/vQWfz8fdd9+N1Wpl9uzZ/PnPf2bq1KksWrTooMu55ZZbOPvss1EUhddff53Jkyczf/78k7QWzatxevh4eQ5LdhRT6/KSEGakX1IYoSYdOaV1hJq07CqqYXthNVEhBrSqwprccvRaDb3jQxEI1udWUFrjwmrU0S/Jxs6iakpq3MSGGsgtraXG7SPSoqeg0oHD40OrKjjcPgQQZtTSJcZKUY2TuFAjpTVunB4vFoOWnUVVuL0Cs16Dx+e/q2O36DAbtERa9Bh1WiwGLSM6R5BkN7MmtxyTTsOEXrFsyqtkS34VxdVOrEb//HvL6/hjZylur4/Tu0cTZTVQ7fSSaDdxdu849NpD3zdak1PO7ztKMGhVJvSOJSbUyHfr9vHTxnwcLh96rX+9Ym1Grh6STN/EsJNRhE1M+Xghn62uDLwOVWHdM+e2yLLv/XgNq7PLsJl0TL+oDz0TbC223F+3FqLXqPx1fFcuG5TcIss92RZsKyS7qpBwi54FWwv5Y1cpGnxUOby4fE3n16kKGhVcHkHjt6MtOrrF24izGdCqKkt3lVLr8tAzzsadZ3Smf5Kd/y7L5ts1+yivczMgJYyzesYyonMkP27IZ3dJDTGhRs7rG4dRpzlp69/e/LB+Hx+sXMOOwhq0qkJSuJkusVY8Xh9dY634vIIt+VXUujxEWY1kJIXyn2U57CqqxendX6IKIBr922bSYjZosRm1lFS7Ka114fUJdBqFRLuJ9OgQKus8aFWFoZ3CqXV72VZYjU5VuXJwEv2Twpj+w2YWbi+myuFGVRTiwkwMTYugR5yV4moX8WFGPF5BYZWT5HAzZ/eOpcrh4bv1eVTWuembaGNUl6jW2Kxt0hPfbWD2slzcXh/RIXoqHB5qnF4AQgwaYm1GiqucVDo8CEHQ8apVIC7MSKLdjEGnIdysw+n1UVTpoKzWg92iI9pqpNbpoc7tJbesjhqnhwS7ib+O70ZWYQ1Ld5VQUecmOtRIVZ2bNTnluDw+useG8tRFvegRZyOroIppX65nV0ktBq2KUa/B6xUkR5i4ZVQ6Q9Ii+GljPruKa4i2GjitWzTzNhdQUuOiW4yVM3pEN2lV6HB7+X5dHvmVDlIizEzoFYtW02aeobQpOaW1/LQxn6IqJx6fD62q4vH5iLIaGdM1iu6xVr5bt49v1+ahKLCvvI4NeysRgFGr4vT49xqdRiXKakCrQqXDQ5XDg8fnP0NoVQWjTiUjKYybRnZizsYC1u+rAMCgVdFrVTKS7PSKC+WL1XvxCcFZPWNZuquUkhonA5LDuH5YCj9sKKCizo3VqKXW5UWrKkRZDbwydxvldW5ibUYGpYRTVOUgymqgpNpFjctD1xgr5/WNZ/nuUtxeQWaqnZ1FNSzOKmZbYRUer6B7rJU7Tu9Mt9jm+yp7fYIfN+Tzx84SSmpc9Eu0cV6/eBLCTACs2F3KvM0F7C6uJT0qhDN7xRBZv1tOfGMR+2oVTDoNr13Zn1Fdo5ssf9oX6/lhQx5aVeHuM7rwp2GpTeb5169ZvPFrFj4hGNE5krevz2wyz3dr9nLfp2vx+AQ2o5Y//jYWg8EQNE9ptYszX15ARZ0bo1blPzcPpm9SeJNlnfPqb2wrqEajKtx3ZmduHdOlyTzXvPU7S3aWAtA/ycaXfxnZZJ75Wwp58Mv11Lm9ZCSF8d6Ng5vMsz2/ikveXEKty0uIQct3dw4nMTykyXxXz/iDTXmVhOg1vHhZf4akRzQb9+a8KgDG9YhmRjPb6dctBTz341YcHi8Tesbyt3N6NJmnsNLB8z9tJb/SQc+4UK7qaWkyz9Ea1zOGVdnlzNtcwJ+Gphz38qSTSxFCiMPPduJFRUWxePFiunbtGjR927ZtDB8+nOLiYtavX8+oUaMoLy8/omWuWLGCSy+9lN27dzd5z+l04nQ6A68rKytJSkqioqKC0NCWHeBh7qYCPl2RQ2Glg6JqJ+EWPV1irNQ4PXSPDWVbQRVZhVWEWwwUVjmoqHNj0mlwenwYtSqgUOlw4/b60GpUFASqomAxaCmodKAqYNBqqHJ6UQBFAd8BpWrWqdgtegornZj0Klajjr3lDlT2XyhplP0XwWEmHT4gRK8hwW4mIcyIV0BqRPBJo7LOzaa8SiJD9Gg1KmtzynHXX1ib9VoS7Cb61Ve0R3SOZHCnpifmwLIcbt5dtIuGPTLcomdAsp33Fu9ib3kdRVVOqp1uIkMMWI06+iTYuOfMroQYmr8XlZube8LKNPVv3zeZtvvZ46/Ef7kqlxfmbA287hxt5f2bmv7AHK2lO0q4+YMVNBzuIUYdvz94xnEv92RqKM9nvlyJ0RLCrsIq5mwuRKdRqHZ6OZYT2cAUO6U1LuqcbmpcPkAQZtbTPzmMv57ZjQe+WEdRlROH24tZr+WcPnH0jg9lw77KoGWM7iorakeroTwveWUeG4pduDw+EKDRKMRaDcTbzTjcXhQF3B5BeZ2L2FAj5XUuckvrcHoPX+JGrYIP/w2cxlQgxKglwqLH5fWRGmEmr8KJzaxDr1GJCTWQYDczb1MB2aW1uL0+FPyDAcWEGkmLtNAz3kZ2aS16rUpsqL8Z4thuUewpqWVXcU3guy4blEii3dyCW65tOtz5dkdRNRe+vog6l7dJBb2Biv836GAlqwI2sxabSY9PgNfro87txScERp0Gh9tHot3IntI6HC4vBq2Coqh0ijSTYDeTXVpLea0Ls15DTlkdHq8PVVHQalTO7xvHExN7M+XTtSzd6b+h53D70ChgNmixGrUMTAnnkgEJLN9dFojJJ/y/xw3O7xdH52hrUNyLthezfHdp4PVp3aPpX/8ErC07kb+hB/P2wp1UOTys3FOKp9ExPjDVjkGrYVyPGF7/ZTslNS7qXB7W7a086LI0CqgqeLxN9ylVgVCjlqT6Y7O01kVFnRutqhBuMRBlNVBa4yTc4q9w5pTWkhBmQlX9ZZ2RFIZBp8Ht9bFqTxk94kIJNen4ZEW2//fIJ3B5fURZDSTazRRVOXB6fMSGGtFqVGwmLT3i/DfodxfXEGLUsmxXCfmVToxaFZtJx4jOkTx8Xs9mb/iszSnnxw35rMr274txNv/DoRtHdKKk2sms3/ewNqecOre/Eton0cb4Tnp6du5E2v2fojH41zvWZuS3B04PWvamfRVc+dYfgesFo07D8ofObBJD70d/9J+38Xd9nXnDIIZ1Dv4t7PvYT1Q6PIHXo7tEMmvSkKB5rvi/JUHHVKLd1CSmtxfs4JkftwReG3UaNj0xIWgeh8NBj8d+Dirr+X8dRWpE8L477sX5FFQ6Aq8fOrcnVwwOfqhx1kvzySrafx7vHW/jmzuDbwjM+G0Hr/28fX/c4Wb+d/fooHkWbS/gT++sCLxWgF3NXCue/8+FlNa4/PMoCv++ZgB9DnhI9dKcrSzdtf88cm6agevPGnhcx+f2girOfPk39BqVVY+cedDraenEq6ysxGazHVV5tplbwR6Phy1btjSZvmXLFrxe/516o9F4VOnmXn31VS688MJm35s+fTo2my3wl5SUdGyBHwG314dP7H8KKAR4vD58vsbv739P+Pb/2yf8FwmBey0CfD5ofOsl6N8HicFbP5NANKngN/6sEA1/AuET+IT/ksrtE3gbfdDh9gYt1+sTgfVs4PEJfI0+4/Y2d9m2n8crgtbF7fXh8vr2xy5E0Lp7fALPYZZ5qql2eoJeO+u38/EqrXHR+H5de9hudY3W4VjvRAohEMKH/1rRvxSfELg8giqnJ3AsAIH9v+6AMjncfi0dmv/85v93QzE0XLt76887PkTgfbdHHHF5N5zPDva9Dacnt1cEnWe9PkGd0xM4/9X/v/6cLAJP9HwHnBddHv85q7GGi9yOrs7lr2wfquwOV64C8Pr8210Igf9/+38rBf7fpMbvgcDt9f9WBMr3gP3CJwQOjxefr+GcKwLfKALz1O8XBzT3cboPeN1MeR94jpD7xMG5vQ3nYX+5eH3+MmjY/k6PN3BN4DvYwV2vYd84GJ8At2//dYtoOM7x70ONbyJ4fILGe29t/e9Awz7dcB7w1O9cDXM2LCNwzqh/w+kJXrZ//9wfsE/49xPvQVbgwOst/++Wr/69hv18//lMCPA0u282XX5VnSfoesF7kIvGxpOFEJTWupvMc+Bnq51N5znwmHI3E2dZrSv4u5uJyeFueg4pr256DXXgObqsztVkHucBN35rXZ4m8zS+OQHgcjeNu7y26eea4270fUIIKhxNt5PTE7wudc3EdLQ6R4eQGmHG5fWxcFvRcS9POrnaTCX+2muvZdKkSbz88sssWrSIRYsW8fLLLzNp0iSuu+46ABYsWECvXr2OaHnPPPMMWVlZTJ8+vdn3H3zwQSoqKgJ/OTk5LbYuBxqUaqdzVAgWvQabSUeczUjnqBAGptgB6JUQSucofzOdRLuZbnFWNKpCiEFL5+gQesZbCTXp0GtVrEYtPeOt2C06wH/31az3N+UNNWjRaxQU/HeZG2gUSAjzPylKCDNhrb/TFm7WoVH9O4FWVfx/Gn8zVItRR1yYiTibCbNeS/fYUMbUP23UqAoX9o8nPsyIzaQjMsT/1KpLtJVe8TbMei1aVWVQSlggbYXNpKNvou2Q2yncoqd3fdNxVVEY0TmSXvGh9IoLRa9VibAYSAo3E2LQYjfrGdklgjCz/vgL6BiYTtByLx2YREL9kwGdRuWGEZ1aZLln993/dEhRFC7KSGiR5baGuPrBV/olhJIS6d9WZt3Bb+4pNH+i06r+bZwSEUKPOCshBh0aVSUm1MjE/vH0SrAxINlOqFGHRlXoEWclOdzM6d1jiAzx73chBi0Dku0tvYodyrD0CKKselRFQafxd+fpHB2CXqvSJ9FG7wQbNqMOu1lPuEXP2X3iCDPp0Bzmfq5e428yG2M1YNKpgXOiqoDVqJIaYcFm0hFi1NIvMYye8aGYdBp0GoXhnSO5blgKiXZz/TT/8uwWHelRIYF+hD3iQkmP8rdOCrfo6ZNoY1haRKDbUEqEmZSI42/y2B70jLMyMCUcjaqgKP7WYY3LUK9RCDPpMOn8v2HNsRo1JISZiLQaSI00kxRuITrE4O/+FaKnU6SZUKOe+DATFoMWVVGxmXVcOTiJLjFWbCYdVqOOJLuJ5HATeq0GRYEYq4GLMxIx6TVcOzSVMJMeraoSYtBhN+sw6jREhugZ1SWSkV0igo7/SwYmBLrTxNmMdI2xNok7IzkMq7H+d9eip3eCTOd0MKO6RKIqCsnhZuLCTKRFhRAXZkKvUclMDad3/XlZoyrYTHrCzbrAZxvvNwr+LhphRh2GA7rxKYBWVUmym7l0QCKxNiNGnQa7WUe4RU+oUUdyhIWLBybS8NzovD5xmOuvnZLDzVw3NAW9VsWg1dA30YbNrENVFC7PTMKg06AqYDPrGZAShkZV6J0QSqzNGGi5c+XgpEALjjN7xZAaYSE+zIS1/lov1mbknD5xGLTNd9XqFW8jwW4iJtSIXqMSH2ZiZJdIAGJCDXSL9f9eaRR/F6XeCTbsFv9+23ANqFEVbh7V9BpjSHoEveqvxRRF4Zw+cc3GcEaPqMCDteRwM+f2jW8yz5+GJgfOvXqNwnMX920yz1MTe6Kvb22gURXuObNrk3nuPiMde/31nqIonN0ntsk8YVYjCY0GZ4u06Oif0vT3+fphqWjqu+3G2kzcMCS1yTx/P6cb2vrAtarCw+c1bd5+6+h0Iq3+79NoVCaNSmsyz3n9ErCZ9u+jKRHNt8q6PHP//tAr3sbIzk1b912UkRi43o+1GRnTvWk3iKOlKArjeshR6k9VbaY5vdfr5dlnn+X111+noMC/I8XExHDnnXcydepUNBoN2dnZqKpKYmLiIZf1wgsvMHv2bObNm0dYWNgRff+xNGM4Gi6Pj9IaJzqNgqoomPRa9BqVSocbk16DgkJeRR0RFgN6rUpOaQ0mvYYIi4Falxenx0O104sKJIZbqHF4yC2vpXO0lfJaF7uKqxmQaCe3spZt+dUMSrGxOb+KHYW1XJ0ZT41boaDSQVp0COW1Tkpq3HSPDWVNdhlVDre/aWiJ/zvDzHp//yWTDo9XoChgNfp/WCpq3ei1Kia9Bp9PUOlwY9SpONw+jDoNWkVhb0UdGlUhwmJAp1GocniwGrVH3Aewos6NXuP/DvDfyS2pdoICZp2GKqcHk05z2Ar8iW4K2NAvPiNe5cu7zm6x5Xq9XjblVREfZiIixHD4DxyFpTtKiLQaSI9u2rerrWsoz7KyctCbMOk1GLQalu4oIcZmINJs4I35W4myGMivdFDn8XHl4GTyK5ykRpopr3Wzp7iGX7YUMDA5nKuGplJQ31dRq6rsLfc3m44MMRJu2b9v5ZTUotEomOtvwimKgtcnqKxzE2LUopN9W49J4+OzyqelsMKBy+ejV5wNd30LnBCDDiH8T28aLnBCTTqcbh9rsksQ+NiSV02PWCthZiMrdpdiMCgkWM2kxVjxIVCEgsWgYeO+ctw+MGqga2wYRp2GkhondrMeIcBi0FBc7USjqkSG6FEUhVqXh72ldTg8XkL0GhRVIT7MjKJAtcNDqEmHT4jAvzX1F30OtxeH2xvYXzqCIz3frtpdQrnDTf+kcKocLtbtLcegakgMN5MabmFXSTUOj5eyajcmvUJOcS0GvUKC3UxKhBUU/w1nnVZF+PxPp9xef1uNGKuR4honOo2KTwhySmtJjbAQEWLA4fZSWedGVfwXrhaDll3F1VQ5/H2UG/+elNc6yS6pJdJqQKMq1Dg9hBr1RFr95+MDj3+nx0udy0uoURdobn0gt9fXZD9p61qjOT34n3q6vQKtquAVAo3i/2+o0V8Z8vkExdVOBIKoECM/b86nqs5D3+QwHC43m/Oq6JcYSojRgNPtQ1EFlXUeNu+rIjpUj0GrIcyiJ8ZmrL/G8lBY6cCs16JR/E/Zo6z+in1BpQOfTxAXZqLK4aa0xkWCzYRWqwYd51VOD5r6/Sq/oo7sklp6xlnxCv/vhUZV0GkUSmpcRFkNGHWawHraTDpcHh/VTjcuj486t49wsw7bYa5xGvZDnxCY9BrM+uCm0BW1brzCh0b1N89vKM+8vGLWFbvoFhtKSuTBbzIu211CmFFH14P0ywdYm1NGaa2L07rFHHSejbkVrM4p5YI+8YQe5JqmtNrF3M35jEgPb7bvOYDL5eLHjUWkRpqa7TPf4KvVObg9gssyDz7uT05pNTmldQxOtaPVNt+EPL+imgXbShnTNZxYW/MxeTwelu0uo1Ok/2bTwfz3j91YTTrO63fwByh7y+qoqHUdchykaoeHkhoncTYThfn7WuT4XLqzhCve+oMws44V08bJ8TpaybHUQ9tMJb6xykp/H6dj2SlfeuklPvroI+bNm4fdfuRPyE50JV46+VrrAkQ6MWR5ti+yPNsXWZ7tjyzT9kWWZ/vSUuXp8foY9PQ8ymvdfHzLUIakNR2cTzrxTuk+8Y2FhoYe0w6Zm5vL/fffT3l5Oaeddhr9+/dnyJAhh/+gJEmSJEmSJElSB6LVqJxe3zR/7ibZpP5U0qrDEA4YMICff/4Zu91ORkbGIZsdrlq16rDLS0xMpA02LJAkSZIkSZIkSWpzzuwRwxer9jJ3cwHTzu3RYbqBnepatRJ/4YUXBvJFTpw4sTVDkSRJkiRJkiRJ6lBGd41Cr1HZU1LL9sLqZgfolNqeVq3EP/roo4B/IK/TTjuNvn37HvFAdJIkSZIkSZIkSdKxsxi0jOoSyc9bCvl+XR5dz5SV+FNBm+gTr9FoOOussygrK2vtUCRJkiRJkiRJkjqM8/v5UwR+u26f7Jp8imgTlXiA3r17s3PnztYOQ5IkSZIkSZIkqcMY1zMGg1ZlZ1ENm/IqWzsc6Qi0mUr8U089xZQpU/juu+/Iy8ujsrIy6E+SJEmSJEmSJElqWSEGLWf08I9S/+3avFaORjoSrdonvrFzzjkHgAsuuCBoVEQhBIqi4PV6Wys0SZIkSZIkSZKkduv8vvH8sD6fb9fuY+qEbnKU+jauzVTif/3119YOQZIkSZIkSZIkqcM5rXs0Fr2GveV1rM4pZ0CyvbVDkg6hzVTix4wZQ3l5Oe+88w6bN28GoGfPnkyaNAmbzdbK0UmSJEmSJEmSJLVPRp2Gs3rF8uXqvXy+MldW4tu4NtMnfsWKFXTu3JmXX36Z0tJSSktLefnll0lPT2fVqlWtHZ4kSZIkSZIkSVK7ddnARAC+WbOPWpenlaORDqXNPIm/9957Of/885kxYwZarT8sj8fD5MmTueeee/jtt99aOUJJkiRJkiRJkqT2aWhaBCkRZvaU1PL9ujwuG5TU2iG1Oxv3VfDz5kI251VSVOVkcKdw/jw8/qiX02Yq8StWrAiqwANotVoeeOABBg0a1IqRSZIkSZIkSZIktW+qqnD5oCSe/2krs5fnyEp8C/p9Rwkvzd3K8t1lQdPDLfpjWl6bqcSHhoaSnZ1N9+7dg6bn5ORgtVpbKSpJkiRJkiRJkqSO4bKBibw0dxsr95SxraCKrjGyHnY8qhxunvpuMx+vyAFAr1EZ2y2KIWkRxNmMxIeZjmm5baYSf8UVVzBp0iReeOEFhg8fDsDixYv561//ylVXXdXK0UmSJEmSJEmSJLVv0aFGzugezZxNBby3eBfTL+570mOoc3nZnF9JdkktXp8gzKyja4yVpHDzSY/leOwsqubmWSvYUVQDwDVDkrnrjC7EhBqD5qusrDzqZbeZSvwLL7yAoihcd911eDz+gRR0Oh233XYbzz77bCtHJ0mSJEmSJEmS1P5NHpXGnE0FfL5qL/ed2Y0oq+GEf6cQgt93lDBzyW5+216Ew+1rMk96lIWLByTypyEp2My6Ex7T8Vi6s4TJs1ZQ5fAQZzPy2lUZZKaGt9jy20wlXq/X8+qrrzJ9+nR27NgBQHp6OmbzqXXHRZIkSZIkSZIk6VSVmWqnf1IYa3LKeX/JbqaM73ZCv2/jvgoe+XojK/fs7y8eZTWQHmVBr9VQVOUkq7CKHUU1PP/TVv49fwd3ndGZG0d0QqdpM8nWApbtKuXGmcupdXkZmGLn338aQLTVePgPHoU2U4lvYDab6dOnT2uHIUmSJEmSJEmS1OEoisKto9O47aNVfPDHHm4enYbN1PJPvp0eLy/O2cY7i3bh9QkMWpUrMpO4IjOJnnGhKIoSmLfS4WbOxgLeXriTLflVPPPDFr5YtZd/XpVBlzbUb3/lnlJufG8ZtS4vo7pEMuO6QRh1mhb/nrZ360KSJEmSJEmSJElqNWf1iqVzdAgVdW7eXLCjxZefU1rL5W/+zlu/7cTrE5zbN47fHjiNJy7sTa94W1AFHiDUqOPSgYn8cNco/nFpX+xmHVvyq7jg9cV8sSq3xeM7Fquyy7j+3eXUuLyM7HziKvAgK/GSJEmSJEmSJElSIxpVYeoEf9awdxftIr/C0WLL/mVLAef9cxFrcyuwmXTMuG4Qb1w9oMmAb81pSIM3594xjOwcSZ3by32frOWp7zbh9YkWi/Forc0p5/p3llHt9DAsLeKEVuBBVuIlSZIkSZIkSZKkA4zrEU1mqh2nx8dT32867uUJIXjj1ywmvb+Cijo3/ZLC+P6ukZzZM+aolxVlNfD+TYO5+4wuALy9aBe3f7SSOpf3uOM8WutzK7j2naVUOT0M6RTOOzcMwqQ/cRV4kJV4SZIkSZIkSZIk6QCKovDIeb3QqArfrcvjp435x7ysWpeHO/6zmud/2ooQ8KehyXx66zAS7cc+iLlGVbj3zK68dlUGeq3KTxsLuPKt3ymqch7zMo/Whr0V/OmdpVQ6PGSm2nn3hkzM+hM/7JysxEuSJEmSJEmSJElN9Em0ccvoNACmfbmevIq6o15Gblktl/77d75fn4dOo/DMRX14amIf9NqWqYpe0C+e/0wegt2sY21uBRf9azFZhVUtsuxDaajAV9S5GZhi570bB2MxnJxx42UlXpIkSZIkSZIkSWrW3Wd0oXusleJqF7fMWkmty3PEn/1xQz7nvraITXmVRIbo+c/NQ7l6SHKLxzgoNZwvbx9BaoSZ3LI6Lv7XEpbsKG7x72mwYW8F17y9lPJaN/2Twph5YyYhJ6kCD7ISL0mSJEmSJEmSJB2EUadhxnWDsJt1rN9bwfXvLqOizn3Iz5TXunjwi/X8+cOVVNS56Zto4+s7RpKZGn7C4kyNtPDF7SMYlGKn0uHh+neXnZCR69fllnP1jD+oqHMzIDmMDyYNxmps+RR8hyIr8ZIkSZIkSZIkSdJBJYWbefeGTKxGLct3l3HOqwv5dUshQgSPCF/pcDPjt52c/uIC/rssG4Bbx6Tx2Z+HkxBmOuFxhlv0fDh5COf2jcPtFdz3yVpembetSZzH6tcthVz51h9UOjwMTLHz/k0nvwIPcPKe+UuSJEmSJEmSJEmnpIxkO7NvGcptH64iu7SWG2cup1OkhYzkMIw6DXtKali+uwyXxwdA15gQHr+gN8PSI05qnEadhn9emUGi3cT/LdjJK/O2s3FfJf+4pC92i/6YlimE4P0lu3niu034BIzqEsm//zTwpDahb0xW4iVJkiRJkiRJkqTD6hVv44e7R/HqvG18+Ec2u4pr2FVcEzRPl+gQJo3sxCUDE9FpWqfht6oqPHh2D1LCLTz2zUbmbirg7NyFPHtJH8Z2iz6qZZXVuPjbF+v4aWMBAJcNTOSZi/u02rqBrMRLkiRJkiRJkiRJRyjEoGXauT2584wu/LGjhO2F1bg8PmJtRjJT7aRHhaAoSmuHCcDVQ5Lpm2jjrv+uZmdxDTe8t5wze8Yw5axudIu1HvKzLo+PT1bk8OKcrZTVutFp/DcGbhyR2urr1+4q8XfddRfffPMNe/bsYfXq1fTv37+1Q5IkSZIkSZIkSWpXQo06zuoVy1m9WjuSQ+udYOPbO0fy0txtzFyym7mbCpi7qYBRXSI5p08cQ9MiSLKb0GpUqhxutuZX8evWQj5dkUthfc75rjEhvHhZf/ok2lp5bfzaXSX+0ksv5YEHHmDkyJHHvIzCSgd1bi+JdjMb91VQ6/QyKMXO56tyqXV5uHZoMs/9uBWAW4fGMObVZehUlU9uy+Sify3DpFN58vy+TPt6LTqNhsEpNpbtKSPebuHi/gkszCrG7fGQU1bHnuI6om0GhqTaWbWnlAirieGdI/htWwkqXkLNOjSonNMvHpfHx6KsYpLsZqJD9GwtqqF/og23V1BR58Ju0VPt8FBY7SQ90sy+cidOtwezQcfeslpMBg3je8Qyd3MB5bUerh2aRF6lkzCznsGd7HyyIhdFgcwUO+tyK4m1GRjVJZq1ueV4fYL+SWFoNSo7iqrJKa1Br1HZU1KLTqMwND2S2FAjm/MqWZ1dRtfYUIam7e//UlztYHNeFWlRFmwmPUVVTqKshlbrR9ISUv/2feDfu589txUjOTJ/fud//Ljd30fpVIgX9m/jngZ46+Z+B52votbFur0V1Djd2M0G/vXLNnYU13JO72gURUOoSUuNy8cZ3aP4vwU70WtVnp3YB6+i8H8Lsvhh/T6qnV6ePL872RVOfli3l2irmTN7xnL5YH8alM37KvltexEDU+zE2owAJNrNANS5vNz/8SqyimqYOqE7Z/SMDYpv5sKdvLVwJz6fhwqHj/G9Y3jlyoEAfLl8J49+t420SBOD06JZm1PKWT2jGdk1lthQIzbzwQdL+Wx5No99sx6fgOuHdWLKhG5MeGUBhVUu3rgmg5FdYgLzVjncFFe7iLIauPC1BewscTAyPYyrh6SRW17LZQMTCLMYA/PXujys2lOG3aInxKDFrNcyb+M+3pi/kyGpdl68ckCTeLxeLz+sz8eo03Bmr1jW5pRR5/IxKMWOVqsyf2sBW/KqOa9P3EHXqcbpobDKSWSIPjBQTFmNi4o6N5vyKliXU06U1UC3uFB2F1WzbFcpWo1CRlIYRr2OMJOWb9fuo6DSQbdoK79sLaDK4cFs0FBR68brhcGdwumVGMq6vRV0ibKQVVjNpn1VTB6VRkmtg7mbiriwXxw7i6r5fUcp5/eL5/yMBHYX1zI0LRxVVdhZVEO3GCtun4+dRTWkRVr43/o8Nuyr5NqhKXSNtbK3vI6iKgffrdnHzpIazu8Xj15Vmb+tiNO7RfPR0l2s31tN71gLVw7tRIRVT2q4hSqnh0qHmx6xoZTVuvh5SwFdoqwYtCqLd5RwRvco9FoN/9uQz5iukZj12sC/R3Xd30Qwp7SGP3aW0inSQkSIgTibkaJKJ1sKqogO1ZMaEYLNpKs/htzsq8/9G28zUe30sGRHMb3iQkmLDiGvwkG4WU+d28PC7cHT7YfYRxvbW16HzyewGrXkVzrw+QQ+H0RY9WhUhV83FxJi0FJY5WDhtiJiQw0khlsorXHTKdKExwedY0KocXj4YlUuXWOsZKaG4/D40Kjwx84SNu6rAB/odBq6RFtwegSlNS7iQg3YQwzoNSoltS7w+XAJqK31gCow67WEm/W4fAK7WUeVw0Ot0015rQe9VsXt85EaYaGk2kmVw8OmvHIq6jyc2zuW5MgQiqpc6FRBbpmTgiondrOW1EgLJdVual0u4sMsmLQqZXVuympdWA0azAYdaVEW0qNC+HZtHtvyK7BZ9Og1KklhJoqrXei1Kka9hso6N06Pl/xKJ8l2I6EmA0VVTiIseoZ1jmRYeiTltS7mbsxnZ3E13WJDUQCvT3Ba92jsFkPg+MqvqGNNTjlCwIAUO3E2Eya9Bp9PkFtWh16rBs5xABV1bkpcNcSEGvD6BGtzyokNNdI5xkpuWS0ACWEmdhbXkFdeR7+kMAornfy0MZ+ByXYyO4UHLff5nzaxIbeSM3tGk1NSx9q9FZzbN46+cSE8+PVmIi06pp3Xiy9W5FBY7WRs13BmLs5mT2kVnaPDiArRs7Wgik5RIZzfJ5oPl+USotdz08hUHvt2I9UONxdlxPHHzjL2VTgZ3ysGu1nPR0v3EBWqJzM5gnlbCvB6/bmlV2WXkl/hYFjnSPokhPLN2jysOi1JkRZ6xFnJLaujxumhU4SZHcW1hOhV+qfY+WNHCR4vjO0SwW87S9CoKpcOTGR9bjmFVU7O7RNLWnRo4JoyNtRIfqWDKoebUKOerQUV1Dp9nN0rFr1eE3SslNW4WJRVRESInuHpUUd0fB2pF/+3gf+sLSPZbuLnv57e7Dzb8ku46F/LsOg1LHvorIMua9gzc6l2evny9sF0jml+xPHMJ3+kqMbLxD7RvHJNZrPz/HPeVj74fQ9jukfy/GVNf1sA5m7cx53/XU24Rc+SB888aEw9H/4Br0+w8O5MoqObbzJ91ku/sq/cwaPnduWyIenNznPNm4tZurucUV3svDdpeLPzvPjjRv69YDdxoQYWPjiu2XlcLhdP/28rIXotfz27x0HjvuLNxeRXOHjr2sF0i2/+6fCVby5iTU4FVw9O4qaBJ26E9/bKYtDy8Hk9uSIziZfnbuOnjfks3F7Mwu3+NHSqAlpVxeX1BX0u2mrgtrHpXDs0BW0rNp8/kCJaaqi+NiY1NZWvvvrqiJ/EV1ZWYrPZmL9+N6vy/HdcdhZVU1DpQFEUdpfUUOP0oAB1bi+++q3mawNbT1VACDiWUKx6lVCTnhqXF7fXh9vrAwWMWg0WvYYYmxGD1v/j0i/JxuDUCN5euJPcsjpKqp34AK2qkBJhZmByGHM2F1Lr9GDSa7lmSDJ3j+tKTkktj3yzgVqXF/DfyQq3GDDoVC4bmESU1dByG6OR3NxckpKSqKioIDQ0tEWX3bgC36AtV4yf+eZ/vLUk+KTUluOFptt4pKWYjx65oUl5Flc5efjrDWzcW0FZnZsqR/O5S1Wg8RbQAGEWHSU1B0+RogBn9IjmsoFJTPtqPc76Y39gip2MZDu9E2yM6RzJgKf9FzINnr6wJ9cM6wTAE1+v593fs5ssu1u0iT+PSuXezzc3+90JYUYuG5TEJQMSSQo3N3n/rQXbeOZ/2w8aO8DntwxnYJqdwioHn67IxeXx8erPTT9jNWgIM+v59o7hhFmMOFweHvxyA3vLaimqdtElOoQah4vFO8sCn4kPNbDk78EXLTfNXM7W/EoAws16zPU36brFWrHqVT5YmoMQAotBywvnJDIqo0dQeZbWuPh4eQ4Otxe9VuWygYnUuLx8u3Yfv2wuYOO+Sjz1J12NAp4DTnp6FVzBu3mL0an+EW91GpXIED0GnRaPz4eCgqrAlvwqKuv3PY0KE3rFkl/hYN3eCtzeIzs7h+g1hBi1KCjotSoWvUpOuQOXx4u3vsKrqqAoCsInUFUFr9f/X0UBVVF4YEI3bhqZxqa9Fdw5ezXVDg9Oj4/RXSOwmQxs2ldBYZUTrUblrJ4xXDc8FZ9P8PHyHNbmlAOQHG5m8Y5i3F7/+g1OtZMUYaGy1s387UW4PF4UBQalhJMSYUGrKmRGC4b17XbQ8+2vWwtZk11OZZ2bgkoH1U4PBZUOrCYdCTYja3LKKa91U+Py4DlIGeo0ClpVoc69fwYV/4VZjcvTJn6Pj5ZBo+ATAvdx7Ld2s46LBiSwIbec1dkVeHwCRfEfI1ajjqRwM2/+aSBGnYaPV+Tw+Yoc8iocCAXiQo1cnpnElZlJ/LylkN3F/kr50LQIkgx1JCUl8Y9vVqE1+st5/V7/zQtVURiQHBa4oPX6fKzcU45PCP/xkFeFx+dDVRXGdY8mMdwCwOcrs8ktdx73dmurNIr/+FQVsJl03Do6jSqnF58Q5FU48Pp87Ct3UFztoLTGjUmnkh5tZeYNg9Bo/Ndau4prmPr5OvaW1aJRFSb0iuPv5x688nekGq6Jku75BNXg/03RADsOuBYoKSlh4PN/BE1r7nrhwN/oefcOa1KRP3CewcmhfHL7qKBpf/10FZ+uzAu87hplYc79Y4PmmbtxHzd/sPqoY2punvQHv6fxKfn5i7o3qcgPevInimv2X0skhxn47W/Bv3dPfr2Wd37fn7pMAXY1830ZT8wJpGJLtpuZ/8BpTebpOu0HXI2CWvLAaOLDgyvyfR75H1WNfuBOi/cx8+4LTsg1bkeRXVLL12v28svWQjbtq8TZ6McnMkTPkLQIzuoZw9m949BrT2zlvaEeejTl2XZuJ5xkTqeTysrKoD+A9XsrAvOsy/VffHk8HoqrXfiE/4fK4/NX3tvKBYPvGCvwAE6vj1qXh4o6Nx6vD49X4PIIvD6B0+NjW0E1Pp9/p964t5Jv1+6lzu2l2unG6fX5P+PzkV/p5LftxdQ6/Sc9p8fLz5sL8PkEv2wtDFTgK+pcbMmv8s/j9rE5r/K41186vAMr8Kei+XnNT/99ZzHFVU4qHW7/3ayDOHALeIHy2kPnOBXAsl2lfLYyB6fbixACt9fHtgL/PrxhbwVLd5cEVeAB3liwI/DvD5flNLvsrYV1TPtm60G/u6jKSX6Fw/9ksRmv/7LzkLED3PHfFQBszqsKjBR7MOW1Lr5blw/A2twK9pXX4fL4cHm87CquYenusqD591UGX4jvLq4OVOABthVWI4T/O7fmV/HN+vxAepcap4ev1+5rEsOW/Eocbv+2dHl8bMyrZF19S6BdJTV4fAKBv1wOrMDDiavAA7h94PIKyuvc5FU6AMircFBU5X/K1vjmkdcHS3eWkF/pOOIKPIDD46Oizk21043H5yO7tJY6lwch8P/u4N/F3V4RWH8v4K7/MfIJwezl/v3ts1W5ONxeXF4fXp+PzXlVbNhbQWmNC58QuDxedhRVs2FvBRv2VlBY5cDl9eHy+liVU0Zl/UWn0+NldW45ABvyKiivdfmnu32sqa/0e3wicF5vjs8nWJfj348Lqhxkl9ZS5fBQ7fRQ5/SyOb+Komp/XIfaTT1egeOA2q4PcLhPzQo8+Pep46nAA1Q7PczZWMCOohq8wn+M+Or3GZfHS2GVg/nbCtmSX0VZjZP8Sgcen8DnFRRUOimucrIquzxQgQdYW1/m4N/uANsKqsgt87fW8Pp8/Lq1MDDP/K1FeOqvFbYVVFPn9h8PXq9gYVZxYL72XIEH8Ar/cSiEoNqx/zxX7fSQU1pLTv3221vmwOP14RP+B0Zb86sDy1i+u5S99S0cvD7Bkh3F1Lqavzl93PE2M+3GDzcc07Lu+e+6w86zLLvpNd8Xq4J/3LcV1TSZ576P1x522b9tKGwybfq3TWM68JT86LdNf4cbV+ABspvZbxtX4KH56/CfN+UH5VLPKa9rZi6CKvAA937SNO6qA37g5m4pbXZZ0pFLjjBz5xld+PL2EWx+YgLLpp3B7w+ezrrHzmLFQ2fyxtUDuLB/wgmvwB+rthnVSTB9+nRsNlvgLykpCSCoebdRr0FVQavVouK/y9YwhEHbGKrh+GkUBVX13zVWlP3rqCj+UR11GgVV9e8mBp2GiBADGlVBoyqB+RRApyrYjDr/BEBFwWrUoaoKEY1SOWhUFZNuf7OxEOOp25xeahsiQ4z+fVg9+qPySD5j1GmIDTU2mQZg0mtItDfNeRrdqHWJ+YBmko3FhR68FYpGVTDpNYQYmm+qHG4+fIqU7nH+O/lH0m1FURSSI/xPZyKtBv+TvPrtY9SqGA/4ETtwy9nrn1I30GlUFEWt/7dC2AE5VOMP2KYA1gPW1WrQYq0/R+g1aqufd1XFf85sWE+dRkGrUdGqKgeOb2Mxao/6h79hmzfsl3qdBrV+wY0Xf6jt0LBfNOyzDbu4SafFpFODysis19ZvYx2GRrFaDZrAgD2KogTO2VaDLrA8RSHoXG45xH6uqgoWg/99g1aDXquiUf3roVEVQvRajrSFYnPjCDX8Rp2KjuG01YRGgVCjFr1WE7yf1D8V1igKMaEGrEYtOo2KVlO/vyqg1fhbfURYDGgbBdPcOcNi0ATOCUr9U/7A/EZt4LsNWmX/gE9K8L5x8L2kvVFAVYgI8Z/j9RoVtdGxpPM/skdR/K0ZI637z+fhZl1Qk12LQdvk/HsijexybM20B6baj+lzpgPOHc2taVpk09ZoBxrdu2nT+RGdYpuZM1iM7dhag5qP4PI1PSokcA4H/7F6JPonhh12Ht2pe9prk1RVIdpqJM5mIrQVcr4fiw5bg3rwwQe57777Aq8rKipITk5mcKKZ1Xl11Ll9/GVEPPO3FOLweLl2YBRzNxXg8Qn6RJtYk+t/quB0+Zq9k3kwWpVDPmk4GItORVGh1uULNNcSQqDTqhi1GhxeLwZVpc7jQwh/c06vT/if0vsEPvwXSxa9Qo3Lh88HkVY9oUY9ERYNqZ0sLNpRikvxEWczUeF0Ex2iZWJGEit2+5+EXTQgis7RIfxfXQ06n4YKg4+yWhcGrcqYrjZO6xbFzCW72FFYQ3yYkSmnJ1JZWcnIFDPbc01sza+iT6SJXok2iqudxIWZSAtVA60gWlrDck/E8l8Z6uauBfvvrg5KODHf01LW/X0UvR/9KWhaW44XwOesDXo9545Mev27adw9I7Wc2cWKzltHXqWDcK2PXaWOwPsmnYJX+C8sdapKeZ3/DvtZPaKxmnR8vXYfrkaPdXVaBXf962irnqfP6UHX2FD25BezraCKiFAD43rYCdO6GZFmI8Ig+FNGOLP+8N+VtxpVZlw+OBDnb/cOo99jPzW5+/+fGwfQNzWq2feMOpVx6TH0jdbTI1LbbFl9c9sg+j36U9D5p2eMiU0F/jv9Og28eukoKisrSbep5Nk15FXUcX63EL5et/+JRYJdj/B5Gdcjhv6xRiorK4kywMW9wvllayEROh3d4kK4ekAU075cHzh/vXxZn6C4FOD2EXHMWpKNRqNw85AE1uRW4vL4uLB/PLE2Aw98tp7yWhcDk8MZ3y0MCC7PZCt0j9CSW1ZLrM1IepgGt1ehrAzO6xHG3E35FFW70KsKMfX9S6udXhBg0KvEhhqoqnVRUus9bOukA7tXNF6P5j7bK9aMT/HRNTqEaKueveVOBnYPw+XxkVtax1npVuZvK8TtgyS7iXtGJ7B0dzkadx3bC2sQ+PdBjaLg9PhQFYKewNp0EBduJdluwuHx4vZA3wQ7a3Ir2FFYjdGk4PYKat0+oqx6dCrkVzqJMWsw6vXkV9QRaTXw/IVdqays5LK+4WzJLmBjXiUGs8pZna2kRYWwdHcpG/dWEGbWcXq6lW4R/suAwjgjXmcdIMhMjWTx9iI27qsiLtzIhf1iKax2cV7PMCINXtbnVhBjN3BxRjwFVQ7CLXrSzZom5dnYaZ1CWJhVTEikll5RNvaU1BJnEhh0GrrFWukWoeH3nSVYVA9lNW4cboGCv5KpKAp6DZj0WmJCjORV1lJW60FVICXSjE4DtU7BvvK6oG2q4K8k+4S/vI161d+Kw+t/Utrw9F4I0GgUNPU3rwWgCnB6fIF9QVH9FVAfiv/zjb4jwqzF4fXhFf4WCg3L1an+AHw+gUYBvU7F5RH46pu7G3UqkSFGwow6NuVXBZpyavDHQ2BfFAgBPp//tf9mj3+99BqVnpGhPDihE3/sLOGDP/ZQ6fAQotei1/m7ZIzrGc6AWBOKAr2j9ZzZ2crSXaUI4WNIpzD6xxhJCVUY3cnCit1l6DUqI1MsVJb5zxMpoQo1wkXvtFB6RuhYsrOEcIueizMS2LC3EoFgyphEvlybR0m1kwlD45i/1f/kP9pq5IGz0thWVINOozJ1XBLP/bgVjxeMOsXf8k+ASa9i0kBpnX8bJIQZKapy4hP+bec8yIWWQavgrD9ft0R3Gg37n07rVNBpVdxufzdDVVX9ZakqGLRQ5/YhhILVqKHa5QUh6BxtpbjaiccrGJxk566xSazNLadO4+PSvuHkltWSU1pHWo8wVudUoFF8XJEZjxE3lZX+a4q+MQYu7BnGL1sKCTXq+MuoeKqrqw8a85FqODYb/7beODShyTH755EpzPhlS2Cbd40yNXtc94lQWbvPH5dRq3D/6Z2azHdpz1A+WZ0feL3h8fFN5vnx5t6MePH3wDH1/qRBTeb54IYM+j76U+CcPSzV1mxMoYqDcod/LpNOoX+yscl8F/UI5fM1/phU4OtbRzWZ598Tu3Prx6sCr3+9Y0CTef54IPi66vzeUU3mCTfApX3sfLlmHypw+6j0ZuOe2NPGF6v9LRIiTFr+MjqpyXwPj4vn8e+zAq9/vD2TXm+0/Ws56cg0lOPR9HKXfeLrNfQVkiRJkiRJkiRJkqSTKScnh8TExCOat91V4m+99Va+//578vPziYiIwGq1kpWVddjP+Xw+9u3bh9VqbfW8f+C/I5OUlEROTk67HrDiRK6n1+slKyuLzp07BwaMOVW05/I/1nVr6+XZnsussZZaz7ZUnh2l7Bpr6XU+nvLsiNu/QVte9+M9Rtvyup1MbWU7NC7PmpqaNhFTR3Ei9oGOUp5t5fg5URrWLzs7G0VRiI+PP+IuYu2uOf3//d//HdPnVFU94jsfJ1NoaGi73GkPdKLWMzOz+XQmp4r2XP7Hsm6nQnm25zJrrCXWs62VZ0cpu8Zacp2Ptzw74vZv0FbXvSWO0ba6bidbW9gODeXZcFOmLcTUkbT09u5I5dme1w3AZrMd9frJYREkSZIkSZIkSZIk6RQhK/GSJEmSJEmSJEmSdIqQlfg2ymAw8Oijj2IwHFvqi1NFR1nPo9Wet0t7Xbf2ul4Hao/r2R7X6XDa0jq3pVhOtva87u153Y5GW9wObTGm9uxEb+/2XJ7ted3g+Nav3Q1sJ0mSJEmSJEmSJEntlXwSL0mSJEmSJEmSJEmnCFmJlyRJkiRJkiRJkqRThKzES5IkSZIkSZIkSdIpQlbiJUmSJEmSJEmSJOkUISvxkiRJkiRJkiRJknQSlZWVHfNntS0Yh3QcvF4vCxYsIDs7G4Dk5GTGjBmDRqNp5chaXkda1yPl9Xp56623+O9//xu0Xa688kpuvfXWU3rb7Nq1i06dOgEghODFF19k4cKFZGRkMG3aNHQ6XStHeOw6wr7cEdaxI2hr5djW4jmZOvK6dwRttXzbalztldzex2bHjh1MnjyZPXv2MHHiRJ555hmMRiMAw4YN4/fff2/lCI/dmjVruOGGG1BVlQ8++IAHHniAX3/9lcjISL777jv69u17VMuTKebagIULF3L11VeTkJBASkoKALt372bfvn189NFHjB49upUjbDkdaV2Pxq233kp+fj5//vOfSU1NBfzb5c033yQmJoa33nqrdQM8DgMGDGDVqlUAPPnkkyxcuJCbbrqJL774gri4OF599dVWjvDYdIR9uSOs486dO4MustLS0lo5opbX1sqxrcVzMnWEde8Ix9TBtNXybatxtVetub27du3Ktm3bTtjyT7Tx48dzwQUXMHToUF599VV27NjBjz/+iNVqJSMjg9WrV7d2iMdszJgx3HvvvZSXl/Poo4/y1FNPce211/LVV1/xr3/9izlz5hzdAoXU6vr06SOWL1/eZPqyZctE7969WyGiE6cjrevR6Ny5c7PTfT7fQd87VfTv3z/w74EDB4qysjIhhBAOh+OULvOOsC+353XctGmTyMzMFLGxsWLw4MFi8ODBIjY2VmRmZooNGza0dngtqq2VY1uL52Rqz+vekY6pg2mr5dtW42qvTvT2Xrt27UH/YmNjj3v5ranxNaMQQjz99NMiMzNTlJeXi4yMjFaKqmU0XrekpKSg9/r163fUy5PN6dsAh8PBoEGDmkzPzMzE6XS2QkQnTkda16OhKApFRUVERUUFTS8qKkKc4o1lFEUJ/Fuj0RAWFgaAwWBAqz11T0EdYV9uz+t4ww03MHXqVC655JKg6Z999hk33ngjy5Yta6XIWl5bK8e2Fs/J1J7XvSMdUwfTVsu3rcbVXp3o7d2/f39SU1ObvT4sKSk57uW3prq6uqDXf//739Hr9ZxxxhlUVVW1UlQto3F5nXbaaQd970jJge3agPT0dJ544gkKCwsD0woLC3n88ccDfYnbi460rkdj6tSp9O/fn9tvv53nnnuO5557jttvv50BAwbw4IMPtnZ4x2XdunWEh4djt9tZs2YNxcXFAHg8HjweTytHd+w6wr7cntexvLy8SWUD4NJLL6WioqIVIjpx2lo5trV4Tqb2vO4d6Zg6mLZavm01rvbqRG/vlJQUFi1axK5du5r8xcTEHPfyW1OPHj348ccfg6ZNmTKFq6++mh07drRSVC0jJiaGyspKAN5///3A9Ly8vEC//6MhK/FtwKxZs9i9ezfp6emYTCZMJhPp6ens2bOHDz74oLXDa1GzZs1iz549HWJdj8akSZNYvHgxaWlp7N27l71795KWlsbChQuZNGlSa4d3XHbs2MHq1atZs2YN27Ztw2azAf4ROZ944olWju7YdYR9uT2vY2RkJB988AE+ny8wzefz8f777xMREdGKkbW8tlaObS2ek6k9r3tHOqYOpq1ez7XVuNqrA7e30Whs0e19wQUXsHPnzmbfO/fcc497+a1p9uzZTZ5SA9x3333k5OS0QkQt56effiI0NLTJdLPZzKeffnrUy5MD27UxpaWlAISHh7dyJCdew7p+8skn/PnPf27laCTp2HWE47a9rWNWVha33norK1euJC4uDvDfDR8wYABvvvkmXbt2beUIT4y2Vo5tLZ6Tqb2te0c9pg6mLZVveXl5oCtbW4qrPaupqUGv11NVVYXH42HdunV0796dxMTE1g5NaidkJb4NaM/pFA70zTffNJl2yy23MGPGDIQQXHDBBa0QVdv23Xffcd5557V2GCfEW2+9xS233NLaYRyzA1PIpKSkMHr06HaVQqa9r2NRUVHg7n5SUlKTcSnai7ZWjm0tnpOpva97RzmmmtNWr+f0ej1nn302kydP5txzz0VVZUPcE2nWrFnceuutREZG8v777/OnP/2JxMREdu7cyRtvvMEVV1zR2iFK7cCpO6pUO3L77bdz6aWXBtIpnHHGGYF0Cg6Ho7XDa1ETJ05k2LBh6PX6wLSKigpeeuklFEWRlfhmfP311+22Er93797WDuGYNaSQiY+PD0oL2J5S9nSEdayqqgr0UauqqmqXFY62Vo5tLZ6TqSOse1RUVJPj6FRPe3Wk2ur1XKdOnRg9ejRTp07l1ltv5brrruOmm27qcK0jTpYXXniBLVu2UFFRwejRo5k3bx6DBg0iKyuLSy65RFbipZZxjKPkSy2oPadTONC7774rhg8fLlatWhWYlpqa2ooRSSdaQ0q59qYjpOxpz+u4cePGDpMOq62VY1uL52Rqz+ventNeHam2ej3X+LsXL14sJk2aJKxWqxg1apR4//33Wy2u9qrxfpCSknLQ9yTpeMgn8W1Ae06ncKAbb7yR008/ncmTJzNq1CimTZsWlIKso/r000+57LLLACguLub6669n0aJFZGRkMGvWLJKTk1s5wmMXHR3dLpvxdYSUPe15HW+88cYOkw6rrZVjW4vnZGrP696e014dqVPhem748OEMHz6cV199ldmzZ/PWW29x3XXXtXZY7YqqqmzcuJGysjJqampYvHgxI0aMYMuWLXi93tYOr0177LHH+Oqrr1izZs0Rf2bs2LH079+fV1555YTF1Ra1j6vpU1x7TqfQnJSUFObMmYPFYmHUqFGn/IVLS5g+fXrg3w8++CB9+vRh69atXHDBBdx9992tGNnxa9yMLzExkb/97W/tolllR0jZ057XsSOlw2pr5djW4jmZ2vO6t+e0V0eqrV7PNXdjxWKxMGnSJBYtWtQKEbVvTz75JKNHj+aiiy5i9uzZPPTQQ3Tv3p0hQ4Ywbdq01g6vTZsyZQo///zzUX3miy++4MknnzxBEbVhrd0UQBLC4XAIh8PR7Hu5ubknOZqTa8OGDeLf//53a4fR6ho3r+rbt6/weDxBr09l7bUZX2FhobjxxhtFSEiIMBqNwmg0ipCQEHHjjTeKgoKC1g6vRRQWFoqbbrqpXa7j8OHDxaxZs4TX6w1M83q9YubMmWLYsGGtGFnLa2v7anverw6nPa/7XXfdJRYuXNjse7feeutJjqZ1tNXruZKSklb7bkkIj8cjVqxYccof4yeSz+cTbre7tcM4pcjR6SWpDejRoweffPIJQgiuu+66oGZE/fv3P6pmRW3NgAEDWLVqVdC0mpoaZs+ezXvvvdcungJ0hJQ97S0lZEdNh9XW9tW2Fs/J1JHXXZKk9s/pdPLXv/6V2bNnU1lZyaBBg3j55ZfJzMxk/vz5nHbaafzwww889NBDrF+/njlz5jB//vyg5vQej4f77ruPWbNmodFomDx5Mvn5+VRUVPDVV18BTZvTp6amcsstt5CVlcWnn36K3W7noYceOqWzITVH9omXpDagrq6OCy+8MNDkLTc3l8TERCoqKk75PuTN3SdsaMY3adKkVoioZTSXSqhBe0kN2VxKyMcee4yEhIRTPiVk586d+fnnnztEOqy2uK+29zRrh9KR112SpI7jgQce4PPPP+f9998nJSWFf/zjH4wfP56srKzAPH/729944YUXSEtLw263M3/+/KBlPPfcc3z00Ue899579OjRg1dffZWvvvqK00477ZDf/eKLL/Lkk0/y97//nc8++4zbbruNMWPG0K1btxOxqq1CPomXpDastraWgoKCU7qvZGlpabt80jR+/HguuOCCQCqhHTt2BFIJZWRksHr16tYO8bipqtokJeQff/zB0KFDURSFX375pRWjO3HaWzqstravdoQ0awfTkdddkqSOo6amBrvdzsyZM7n66qsBcLvdpKamcs8995CZmclpp53GV199xYUXXhj43IED28XGxjJlyhSmTJkC+G+CpqWlkZGRccgn8aNGjeKDDz4A/A+TYmNjefzxx9tFS8IG8km8JLVhZrP5lK7AQ/ttKlpYWMhf/vIXAGbNmsUzzzzDGWecwdy5c9tNxoV33nmHt99+m5deeomMjAzAP1Dhr7/+2sqRHb9169Yd9L22Mop0S2lr++pf/vIXvvzyyyajtC9fvpybbrqJ9evXn/SYTpaOvO6SJHUcO3bswO12M2LEiMA0nU7H4MGD2bx5M5mZmQDNZutoUFFRQUFBAYMHDw5M02g0DBw4EJ/Pd8jv79u3b+DfiqIQGxsbNKBoeyAr8ZIkScfgVEgldLzac0rIjpQOq63tq+05zdrhdOR1bw0zZ87knnvuoby8vFW+f/fu3XTq1InVq1fTv3//VolBktoyi8VyQpar0+mCXiuKctiK/6nm1O5sK0mS1EraaiqhltZeU0J2pHRYbW1fbc9p1g6nI697e3fDDTcwceLEoGlJSUnk5eXRu3fv1glKklpJeno6er2exYsXB6a53W6WL19Oz549j2gZNpuNmJgYli9fHpjm9XqbDJbcUclKvCRJ0jGYPXt2swOr3HfffYGB0toLRVG4//77mTFjBg8//HBrh9MiLrjgAnbu3Nnse+eee+5JjubEamv76qxZs9i9ezfp6emYTCZMJhPp6ens2bMn0IexvZo1axZ79uzpkOt+qnK73cf8WY1GQ2xsLFqtbPh6KvB6ve3uaW1rsVgs3Hbbbfz1r3/lxx9/ZNOmTdx8883U1tYe1aDGd955J9OnT+frr79m69at3H333ZSVlbWbVoHHQ1biT2Fjx47lzjvv5J577sFutxMTE8OMGTOoqanhxhtvxGq10rlzZ/73v/8BMH/+fBRF4fvvv6dv374YjUaGDh3Khg0bgpY7Y8YMkpKSMJvNXHTRRbz00kuEhYW1whpKUttlMBgwGAzNvpeQkHCSozk5evXq1W4GhXn11VcZOXJks++9+eabJzmaE6ut7atRUVG8++67VFVVsXfvXvbu3UtVVRXvvvsu0dHRJz2ekykqKop33nknaN2ff/75dr3uP/74IyNHjiQsLIyIiAjOO++8oBYgubm5XHXVVYSHh2OxWBg0aBBLly4NvP/tt9+SmZmJ0WgkMjKSiy66KPCe0+lkypQpJCQkYLFYGDJkSJPRrQ/09ddfM2DAAIxGI2lpaTz++ON4PJ7A+4qi8O9//5sLLrgAi8XC008/jdfrZdKkSXTq1AmTyUS3bt149dVXA5957LHHeP/99/n6669RFAVFUZg/fz67d+9GUZSgNLELFixg8ODBGAwG4uLi+Nvf/hb0/WPHjuWuu+7igQceIDw8nNjYWB577LFj2PKntlmzZhEREdGk9dfEiRO59tprgcOX5UsvvUSfPn2wWCwkJSVx++23U11dHXh/5syZhIWF8c0339CzZ08MBkMga4R0/J599lkuueQSrr32WgYMGEBWVhY//fQTdrv9iJcxdepUrrrqKq677jqGDRtGSEgI48ePx2g0nsDITxGtlaBeOn5jxowRVqtVPPnkk2Lbtm3iySefFBqNRpx99tnirbfeEtu2bRO33XabiIiIEDU1NeLXX38VgOjRo4eYM2eOWLdunTjvvPNEamqqcLlcQgghFi1aJFRVFc8//7zYunWreOONN0R4eLiw2Wytu7IdQEpKinj55ZcDrwHx5ZdfHtcy33vvPVl2kiS1KVlZWWLs2LGiU6dO4t577xV1dXWB94YOHdqKkZ14X3/9dZO/mJgY8c0334ivv/66tcM7IT777DPx+eefi+3bt4vVq1eL888/X/Tp00d4vV5RVVUl0tLSxKhRo8TChQvF9u3bxccffyyWLFkihBDiu+++ExqNRjzyyCNi06ZNYs2aNeKZZ54JLHvy5Mli+PDh4rfffhNZWVni+eefFwaDQWzbtk0I0fQ38LfffhOhoaFi5syZYseOHWLOnDkiNTVVPPbYY4F5ABEdHS3effddsWPHDrFnzx7hcrnEI488IpYvXy527twpPvzwQ2E2m8XHH38shBCiqqpKXH755WLChAkiLy9P5OXlCafTKXbt2iUAsXr1aiGEELm5ucJsNovbb79dbN68WXz55ZciMjJSPProo4HvHzNmjAgNDRWPPfaY2LZtm3j//feFoihizpw5J6iE2qba2lphs9nEJ598EphWUFAgtFqt+OWXX46oLF9++WXxyy+/iF27domff/5ZdOvWTdx2222B99977z2h0+nE8OHDxeLFi8WWLVtETU3NSV1P6eh4vV7RtWtX8dBDD7V2KK1OVuJPYWPGjBEjR44MvPZ4PMJisYhrr702MC0vL08A4vfffw9U4mfPnh14v6SkRJhMpsAP0RVXXCHOPffcoO+55pprZEXwJDiwEp+XlyccDsdxLVNW4iVJamvOOuss8frrr4sVK1aIa6+9VgwfPlxUVlYKIYTo379/K0d3YimKIoYPHy7Gjh0b+DMajWLs2LHitNNOa+3wToqioiIBiPXr14v/+7//E1arVZSUlDQ777Bhw8Q111zT7Ht79uwRGo1G7N27N2j6GWecIR588EEhRNPfwDPOOCPoJoAQQnzwwQciLi4u8BoQ99xzz2HX4y9/+Yu45JJLAq+vv/56ceGFFwbNc2Al/u9//7vo1q2b8Pl8gXneeOMNERISIrxerxCi6bWdEEJkZmaKqVOnHjam9ua2224TZ599duD1iy++KNLS0oTP5zuisjzQp59+KiIiIgKv33vvPQGINWvWtHzwUovYvXu3eOutt8TWrVvFunXrxC233CJ0Op3YtGlTa4fW6mQnnVNc4xQKGo2GiIgI+vTpE5jWMEBTYWEhoaGhAAwbNizwfnh4ON26dWPz5s0AbN26NaipGsDgwYP57rvvTtg6SM2LjY1t7RAAf3/AA0f5lCRJOlZtLeXdydSe0zYezPbt23nkkUdYunQpxcXFgT7H2dnZrFmzhoyMjIOmIl2zZg0333xzs++tX78er9dL165dg6Y7nU4iIiKa/czatWtZvHgxTz/9dGCa1+vF4XBQW1uL2WwGmk979cYbb/Duu++SnZ1NXV0dLpfrqEec37x5M8OGDQvaz0eMGEF1dTW5ubkkJycDwdd2AHFxce0uPdaRuPnmm8nMzGTv3r0kJCQwc+ZMbrjhBhRFOaKynDdvHtOnT2fLli1UVlbi8XialLVer2+yvaW2Q1VVZs6cyZQpUxBC0Lt3b+bNm0ePHj1aO7RWJ/vEn+KaS6HQeFrDD4UcqOPk8Pl8/OMf/6Bz584YDAaSk5N5+umnOf3007njjjuC5i0qKkKv1/Pzzz83uyxFUfjqq68AAv3qvvjiC0477TTMZjP9+vXj999/D/rMzJkzSU5ODoxn0FyqrGPpD1hWVsY111xDVFQUJpOJLl268N577x3n1mo9Y8eO5Z577gEgNTWVV155pcWW3bjcpJOncZlKbVtzKe8uv/zydpWe8WBuvPFG/vOf//DAAw/wxBNP4PV62/2Ni/PPP5/S0lJmzJjB0qVLA/3dXS4XJpPpkJ891PvV1dVoNBpWrlzJmjVrAn+bN28O6q9+4Gcef/zxoPnXr1/P9u3bg/rYHpj2avbs2UyZMoVJkyYxZ84c1qxZw4033ojL5TrSzXBUOkJ6rCORkZFBv379mDVrFitXrmTjxo3ccMMNwOHLcvfu3Zx33nn07duXzz//nJUrV/LGG28ABJWbyWRq98fgqSwpKYnFixdTUVFBZWUlS5YsYfTo0a0dVpsgn8R3QH/88Ufgbm9ZWRnbtm0L3NHq1q1bUCoHoMlr6eAefPBBZsyYwcsvv8zIkSPJy8tjy5YtTJ48mTvuuIMXX3wxMMDUhx9+SEJCAqeffvoRL3/atGm88MILdOnShWnTpnHVVVeRlZWFVqtl6dKlTJo0ienTpzNx4kR+/PFHHn300aDPL1y4kOuuu47XXnuNUaNGsWPHDm655RaAoHkfe+wxnn32WV555RW0Wi0PP/wwmzZt4n//+x+RkZFkZWU1uRA/VS1fvvyE5Slt72644QbKy8vlTQvpqDSkvJswYUJg2pQpU1BVlSlTprRiZCdHQ9rGl156qV2lbWxOSUkJW7duZcaMGYwaNQqARYsWBd7v27cvb7/9NqWlpc0+je/bty8///wzN954Y5P3MjIy8Hq9FBYWBpZ9OAMGDGDr1q107tz5qNZj8eLFDB8+nNtvvz0w7cD0jHq9Hq/Xe8jl9OjRg88//xwhRKDiuHjxYqxWK4mJiUcVU0cxefJkXnnlFfbu3cu4ceNISkoCDl+WK1euxOfz8eKLL6Kq/meWn3zyyUmLW5JONFmJ74CeeOIJIiIiiImJYdq0aURGRgZym955552MHj2al156ifPPP59ffvmF//3vf/Iu5RGoqqri1Vdf5fXXX+f6668H/HkyR44cicPh4I477uDrr7/m8ssvBwhqFnakpkyZEkh/9fjjj9OrVy+ysrLo3r07r776KhMmTOCBBx4AoGvXrixZsiQoP/Tjjz/O3/72t0B8aWlpPPnkkzzwwANBlfirr7466KIpOzubjIyMQBPD1NTUY9hCbVNUVFRrhyC1QS6XC71e39phnBQne11nz57d7PT77ruPK6644qTF0Zoa0jZOmDCBhQsXtnY4J4zdbiciIoK33nqLuLg4srOz+dvf/hZ4/6qrruKZZ55h4sSJTJ8+nbi4OFavXk18fDzDhg3j0Ucf5YwzziA9PZ0rr7wSj8fDDz/8wNSpU+natSvXXHMN1113HS+++CIZGRkUFRXx888/07dv32ZTRT7yyCOcd955JCcnc+mll6KqKmvXrmXDhg089dRTB12PLl26MGvWLH766Sc6derEBx98wPLly+nUqVNgntTUVH766Se2bt1KREQENputyXJuv/12XnnlFe68807uuOMOtm7dyqOPPsp9990XqGhKwa6++mqmTJnCjBkzmDVrVmD64cqyc+fOuN1u/vnPf3L++eezePHidpd5ROrY5BmjA3r22We5++67GThwIPn5+Xz77beBC7gRI0bw5ptv8tJLL9GvXz9+/PFH7r33XpnK4Qhs3rwZp9PJGWec0eQ9o9HItddey7vvvgvAqlWr2LBhQ6BZ2JFq3G8rLi4OINBPbvPmzQwZMiRo/sbjH4C/P+ATTzxBSEhI4O/mm28mLy+P2trawHwH9ge87bbbmD17Nv379+eBBx5gyZIlRxV3a6qpqeG6664jJCSEuLg4XnzxxaD3GzenF0Lw2GOPkZycjMFgID4+nrvuuito3ieffJKrrroKi8VCQkJCoHnewTRcbJrNZtLS0nj44Yeb5B0+nhRKDSlyvvvuO7p164bZbObSSy+ltraW999/n9TUVOx2O3fddVfQU6IjXe5PP/1Ejx49CAkJYcKECeTl5QEHT6nUmnw+30HTMmVnZ3PhhRcSEhJCaGgol19+OQUFBYH3H3vsMfr378/bb79Np06dAue8zz77jD59+mAymYiIiGDcuHHU1NQEPvf222/To0cPjEYj3bt351//+lfgvYZuMLNnz2b48OEYjUZ69+7NggULguI+VMqp7777jrCwsEDZrVmzBkVRgipCkydP5k9/+lPg9aJFixg1ahQmk4mkpCTuuuuuoJgb9uPrrruO0NDQQGuck6WtpbxrTe0pbWNzVFVl9uzZrFy5kt69e3Pvvffy/PPPB97X6/XMmTOH6OhozjnnHPr06cOzzz6LRqMB/N1kPv30U7755hv69+/P6aefzrJlywKff++997juuuu4//776datGxMnTmT58uWB1oYHGj9+PN999x1z5swhMzOToUOH8vLLL5OSknLI9bj11lu5+OKLueKKKxgyZAglJSVBT+XB33+7W7duDBo0iKioKBYvXtxkOQkJCfzwww8sW7aMfv368ec//5lJkybx0EMPHfE27WhsNhuXXHIJISEhgQdOcPiy7NevHy+99BLPPfccvXv35qOPPmL69OmttBaSdAK08sB60knUMDp9WVnZUX1u8uTJTUZKlZpat26dAMTOnTsP+r6qqiInJ0fccccdYty4cUHvHyrF3IEj3AohRFlZmQDEr7/+KoTwj+r8+OOPBy3zlVdeCRqZ12g0iueee05s3769yV/DyLgcJLVdYWGhmDlzprjmmmuE0WgU999//5FtmFZ22223ieTkZDFv3rxAWkWr1SruvvtuIUTwdv/0009FaGio+OGHH8SePXvE0qVLxVtvvRVYVkpKirBarWL69Oli69at4rXXXhMajSYo9c+B2+/JJ58UixcvFrt27RLffPONiImJEc8991zg/ZZIoaTT6cSZZ54pVq1aJRYsWCAiIiLEWWedJS6//HKxceNG8e233wq9Xh+UmeJIlztu3DixfPlysXLlStGjRw9x9dVXCyEOnlKptRwqLZPX6xX9+/cXI0eOFCtWrBB//PGHGDhwoBgzZkzg848++qiwWCxiwoQJYtWqVWLt2rVi3759QqvVipdeekns2rVLrFu3TrzxxhuiqqpKCCHEhx9+KOLi4sTnn38udu7cKT7//HMRHh4uZs6cKYTYf9wmJiaKzz77TGzatElMnjxZWK1WUVxcLIQ4fMqp8vJyoaqqWL58uRDCf0xHRkaKIUOGBGLv3LmzmDFjhhDCn77NYrGIl19+WWzbtk0sXrxYZGRkiBtuuCEwf0pKiggNDRUvvPCCyMrKEllZWSesXCRJko7X6aefLu68887WDkOS2hRZie9AjrQS//zzz4s1a9aI7du3i9dee03odLrABaJ0cHV1dcJkMh1yWw0ePFg88sgjIjw8XPznP/8Jeu94K/FXXXWVOOecc4KWeeWVVwZV4ocPHy5uuummQ67HwSrxjb355pvCarUecp62oKqqSuj1+qA8sw1pFZurxL/44ouia9euwuVyNbu8lJQUMWHChKBpV1xxRVAKnMNtv+eff14MHDgw8LolUigBQRWxW2+9VZjN5kBlUwghxo8fL2699dbjWu4bb7whYmJiAq+bS6nUWg6VlmnOnDlCo9GI7OzswHsbN24UgFi2bJkQwl+J1+l0orCwMDDPypUrBSB2797d7Hemp6c3OY6ffPJJMWzYMCHE/uP22WefDbzvdrtFYmJi4EbOkaScGjBggHj++eeFEEJMnDhRPP3000Kv14uqqiqRm5srgMDNl0mTJolbbrklKKaFCxcKVVUD+dhTUlLExIkTD7k9JUmSWltpaan44osvhKqqYsuWLa0djiS1KbJPvNTEsmXL+Mc//kFVVRVpaWm89tprTJ48ubXDavOMRiNTp07lgQceQK/XM2LECIqKiti4cSOTJk0CCAxwZ7FYmqTyO1533XUXI0aM4IUXXuDCCy/kp59+CuoPD8feH/CRRx5h4MCB9OrVC6fTyXfffXdKpPfYsWMHLpcrqJtBQ1rF5lx22WW88sorpKWlMWHCBM455xzOP/98tNr9p8oDuygMGzbskKPbf/zxx7z22mvs2LGD6upqPB5PIN0jtEwKJbPZTHp6euB1TEwMqamphISEBE1r6HpxrMtt62mODpaWafPmzSQlJQUGRALo2bMnYWFhbN68mczMTMA/4FjjMRL69evHGWecQZ8+fRg/fjxnnXUWl156KXa7nZqaGnbs2MGkSZOCys/j8TTpC9t4n9FqtQwaNCiQ1vNIUk6NGTOG+fPnc//997Nw4UKmT5/OJ598wqJFiygtLSU+Pp4uXboA/i4z69at46OPPgosTwiBz+dj165dgeO2uRRakiRJbUlGRgZlZWU899xzB/3dlqSOSlbiO5CxY8cihDjsfHL0zmP38MMPo9VqeeSRR9i3bx9xcXFB/R2vuuoq7rnnHq666qoWH2dg6NChzJgxg0cffZRHHnmEcePG8dBDD/Hkk08G5mnoQ/bEE0/w3HPPodPp6N69+2Fv0uj1eh588EF2796NyWRi1KhRBx2c6lSWlJTE1q1bmTdvHnPnzuX222/n+eefZ8GCBU1S/hyJ33//nWuuuYbHH3+c8ePHY7PZmD17dlC//CNNodTQR7RB4wr64VJNNkxrSFF0PMs9knNIaznetEwHZinQaDTMnTuXJUuWMGfOHP75z38ybdo0li5dGsgxPGPGjCZjURy4TY/X2LFjeffdd1m7dm3gmB07dizz58+nrKyMMWPGBOatrq7m1ltvDRrLoUHjfsIyI8PRS01N5Z577jniVIa7d++mU6dOrF69+qjziUuS5D+GJElqnqzES1ILUlWVadOmMW3atGbfLy4uxuFwBJ7MN3bgj1XjylJqamqTylNYWFiTaTfddBM33XRT0LT7778/6PX48eMZP378QdehuUraQw89dEoOvJOeno5Op2Pp0qVN0io2rvg0ZjKZOP/88zn//PP5y1/+Qvfu3Vm/fj0DBgwA/CkaG/vjjz8O2iphyZIlpKSkBO0Pe/bsCZqnpVMoHYmWWu6RpFRqC3r06EFOTg45OTmBp/GbNm2ivLycnj17HvKziqIwYsQIRowYwSOPPEJKSgpffvkl9913H/Hx8ezcuZNrrrnmkMv4448/AnltPR4PK1eu5I477gjEdriUU6NGjaKqqoqXX345sN+OHTuWZ599lrKysqBjfMCAAWzatOmoU2hJh3ci0lHOnDmTe+65h/Ly8hZdriRJktS+yUq8JJ0EbrebkpISHnroIYYOHRqoEEonVkhICJMmTeKvf/0rERERREdHM23atIOm8pk5cyZer5chQ4ZgNpv58MMPMZlMQSMXL168mH/84x9MnDiRuXPn8umnn/L99983u7wuXbqQnZ3N7NmzyczM5Pvvv+fLL78MmqelUygdiZZabnMplY6lxcKJNm7cOPr06cM111zDK6+8gsfj4fbbb2fMmDGHbFa+dOlSfv75Z8466yyio6NZunQpRUVFgZs2jz/+OHfddRc2m40JEybgdDpZsWIFZWVl3HfffYHlvPHGG3Tp0oUePXrw8ssvU1ZWFrjZdiQpp+x2O3379uWjjz7i9ddfB2D06NFcfvnluN3uoBtSU6dOZejQodxxxx1MnjwZi8XCpk2bmDt3buCz0rGR6SglSZKktkKmmJOkk2Dx4sXExcWxfPlymaf0JHv++ecZNWoU559/PuPGjWPkyJEMHDiw2XnDwsKYMWMGI0aMoG/fvsybN49vv/02qJ/4/fffz4oVK8jIyOCpp57ipZdeOmjLhgsuuIB7772XO+64g/79+7NkyRIefvjhoHlaOoXSkWqJ5R5JSqW2QFEUvv76a+x2O6NHj2bcuHGkpaXx8ccfH/JzoaGh/Pbbb5xzzjl07dqVhx56iBdffJGzzz4b8I9x8fbbb/Pee+/Rp08fxowZw8yZM4NyR4M/reezzz5Lv379WLRoEd988w2RkZHAkaecGjNmDF6vl7FjxwL+sR169uxJbGxsUF/Rvn37smDBArZt28aoUaPIyMjgkUceIT4+/ng34ynnaNPzHUlqvsbjX2zZsoWRI0diNBrp2bMn8+bNQ1EUvvrqq6A4du7cyWmnnYbZbKZfv378/vvvAMyfP58bb7yRioqKQJrGxmkRJUmSJOlgFNGWOzhKkiS1IUfbJ1bq2GSf6NZVUVFBeHg4S5cuZdCgQbz66qs89dRTpKenB7rFdOnShalTp3LaaafRr18/nnrqKc4991yKioq444476NevH++99x4QfPx7vV569epFcnIyzz//PFVVVdx///0sW7aML7/8kokTJwbKv3v37rzwwgt06dKFadOmsXz5crKysvD5fPz73//mkUceYevWrYC/9VDjcSkkSZIkqTnySbwkSZIkSe2OzWajf//+zJ8/H/A/+b733ntZvXo11dXV7N27l6ysLMaMGcP06dO55ppruOeee+jSpQvDhw/ntddeY9asWTgcjibLnjt3Ljt27GDWrFn069ePkSNH8vTTTzcbx5QpUzj33HPp2rUrjz/+OHv27CErKwu9Xo/NZkNRFGJjY4mNjZUVeEmSJOmIyEq8JEmSJEntUkN6PiEECxcu5OKLL6ZHjx4sWrSIBQsWBNLzrV27lpkzZwaehIeEhDB+/PhAar4Dbd26laSkJGJjYwPTBg8e3GwMjVMfxsXFAbTpVI2SJElS2ycHtpMkSTpCMt2NdDSayyohnVxHmp7vSFPzHYvGgz02ZCA4mtSHkiRJknQgWYmXJEmSJKldOtL0fEebmq9bt27k5ORQUFBATEwM4E9Bd7ROlTSNkiRJUtsim9NLkiRJktQuNU7P1zCy/+jRo1m1ahXbtm0LVOynTp3KkiVLuOOOO1izZg3bt2/n66+/5o477mh2uWeeeSbp6elcf/31rFu3jsWLFwcyCjQ8bT8SqampVFdX8/PPP1NcXExtbe3xrbAkSZLUIchKvCRJkiRJ7daRpOc72tR8Go2Gr776iurqajIzM5k8eTLTpk0DwGg0HnFsw4cP589//jNXXHEFUVFR/OMf/zi+lZUkSZI6BJliTpIkSZIk6TgtXryYkSNHkpWVRXp6emuHI0mSJLVjshIvSZIkSZJ0lL788ktCQkLo0qULWVlZ3H333djtdhYtWtTaoUmSJEntnBzYTpIkSZIk6ShVVVUxdepUsrOziYyMZNy4cbz44outHZYkSZLUAcgn8ZIkSZIkSZIkSZJ0ipAD20mSJEmSJEmSJEnSKUJW4iVJkiRJkiRJkiTpFCEr8ZIkSZIkSZIkSZJ0ipCVeEmSJEmSJEmSJEk6RchKvCRJkiRJkiRJkiSdImQlXpIkSZIkSZIkSZJOEbISL0mSJEmSJEmSJEmnCFmJlyRJkiRJkiRJkqRThKzES5IkSZIkSZIkSdIp4v8BJ/TyekIXvpgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x800 with 64 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(auto, figsize=(12, 8), diagonal='kde')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1b76bac",
   "metadata": {},
   "source": [
    "(b) Compute the matrix of correlations between the variables using the DataFrame.corr() method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "id": "4b4680b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>year</th>\n",
       "      <th>origin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mpg</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.777618</td>\n",
       "      <td>-0.805127</td>\n",
       "      <td>-0.778427</td>\n",
       "      <td>-0.832244</td>\n",
       "      <td>0.423329</td>\n",
       "      <td>0.580541</td>\n",
       "      <td>0.565209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cylinders</th>\n",
       "      <td>-0.777618</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.950823</td>\n",
       "      <td>0.842983</td>\n",
       "      <td>0.897527</td>\n",
       "      <td>-0.504683</td>\n",
       "      <td>-0.345647</td>\n",
       "      <td>-0.568932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>displacement</th>\n",
       "      <td>-0.805127</td>\n",
       "      <td>0.950823</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.897257</td>\n",
       "      <td>0.932994</td>\n",
       "      <td>-0.543800</td>\n",
       "      <td>-0.369855</td>\n",
       "      <td>-0.614535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>horsepower</th>\n",
       "      <td>-0.778427</td>\n",
       "      <td>0.842983</td>\n",
       "      <td>0.897257</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.864538</td>\n",
       "      <td>-0.689196</td>\n",
       "      <td>-0.416361</td>\n",
       "      <td>-0.455171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight</th>\n",
       "      <td>-0.832244</td>\n",
       "      <td>0.897527</td>\n",
       "      <td>0.932994</td>\n",
       "      <td>0.864538</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.416839</td>\n",
       "      <td>-0.309120</td>\n",
       "      <td>-0.585005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acceleration</th>\n",
       "      <td>0.423329</td>\n",
       "      <td>-0.504683</td>\n",
       "      <td>-0.543800</td>\n",
       "      <td>-0.689196</td>\n",
       "      <td>-0.416839</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.290316</td>\n",
       "      <td>0.212746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <td>0.580541</td>\n",
       "      <td>-0.345647</td>\n",
       "      <td>-0.369855</td>\n",
       "      <td>-0.416361</td>\n",
       "      <td>-0.309120</td>\n",
       "      <td>0.290316</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.181528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>origin</th>\n",
       "      <td>0.565209</td>\n",
       "      <td>-0.568932</td>\n",
       "      <td>-0.614535</td>\n",
       "      <td>-0.455171</td>\n",
       "      <td>-0.585005</td>\n",
       "      <td>0.212746</td>\n",
       "      <td>0.181528</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   mpg  cylinders  displacement  horsepower    weight  \\\n",
       "mpg           1.000000  -0.777618     -0.805127   -0.778427 -0.832244   \n",
       "cylinders    -0.777618   1.000000      0.950823    0.842983  0.897527   \n",
       "displacement -0.805127   0.950823      1.000000    0.897257  0.932994   \n",
       "horsepower   -0.778427   0.842983      0.897257    1.000000  0.864538   \n",
       "weight       -0.832244   0.897527      0.932994    0.864538  1.000000   \n",
       "acceleration  0.423329  -0.504683     -0.543800   -0.689196 -0.416839   \n",
       "year          0.580541  -0.345647     -0.369855   -0.416361 -0.309120   \n",
       "origin        0.565209  -0.568932     -0.614535   -0.455171 -0.585005   \n",
       "\n",
       "              acceleration      year    origin  \n",
       "mpg               0.423329  0.580541  0.565209  \n",
       "cylinders        -0.504683 -0.345647 -0.568932  \n",
       "displacement     -0.543800 -0.369855 -0.614535  \n",
       "horsepower       -0.689196 -0.416361 -0.455171  \n",
       "weight           -0.416839 -0.309120 -0.585005  \n",
       "acceleration      1.000000  0.290316  0.212746  \n",
       "year              0.290316  1.000000  0.181528  \n",
       "origin            0.212746  0.181528  1.000000  "
      ]
     },
     "execution_count": 349,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auto.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "id": "f043fda8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>           <td>mpg</td>       <th>  R-squared:         </th>  <td>   1.000</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th>  <td>   1.000</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th>  <td>1.266e+27</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Mon, 20 Jan 2025</td> <th>  Prob (F-statistic):</th>   <td>  0.00</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>14:19:58</td>     <th>  Log-Likelihood:    </th>  <td>  10112.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   392</td>      <th>  AIC:               </th> <td>-2.021e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   383</td>      <th>  BIC:               </th> <td>-2.017e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     8</td>      <th>                     </th>      <td> </td>    \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>      <td> </td>    \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "        <td></td>          <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>intercept</th>    <td>-1.244e-12</td> <td> 2.18e-12</td> <td>   -0.571</td> <td> 0.568</td> <td>-5.53e-12</td> <td> 3.04e-12</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>mpg</th>          <td>    1.0000</td> <td> 2.35e-14</td> <td> 4.25e+13</td> <td> 0.000</td> <td>    1.000</td> <td>    1.000</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>cylinders</th>    <td> 2.609e-15</td> <td> 1.49e-13</td> <td>    0.017</td> <td> 0.986</td> <td>-2.91e-13</td> <td> 2.96e-13</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>displacement</th> <td> 5.829e-16</td> <td> 3.49e-15</td> <td>    0.167</td> <td> 0.868</td> <td>-6.29e-15</td> <td> 7.45e-15</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>horsepower</th>   <td>-7.459e-16</td> <td> 6.37e-15</td> <td>   -0.117</td> <td> 0.907</td> <td>-1.33e-14</td> <td> 1.18e-14</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>weight</th>       <td>-1.355e-16</td> <td> 3.37e-16</td> <td>   -0.402</td> <td> 0.688</td> <td>-7.98e-16</td> <td> 5.27e-16</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>acceleration</th> <td>  2.22e-16</td> <td> 4.56e-14</td> <td>    0.005</td> <td> 0.996</td> <td>-8.94e-14</td> <td> 8.99e-14</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>year</th>         <td> 5.274e-16</td> <td> 2.94e-14</td> <td>    0.018</td> <td> 0.986</td> <td>-5.72e-14</td> <td> 5.83e-14</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>origin</th>       <td>-4.441e-16</td> <td> 1.32e-13</td> <td>   -0.003</td> <td> 0.997</td> <td>-2.61e-13</td> <td>  2.6e-13</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>21.218</td> <th>  Durbin-Watson:     </th> <td>   0.002</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td>  19.836</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.493</td> <th>  Prob(JB):          </th> <td>4.93e-05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.506</td> <th>  Cond. No.          </th> <td>8.74e+04</td>\n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The condition number is large, 8.74e+04. This might indicate that there are<br/>strong multicollinearity or other numerical problems."
      ],
      "text/latex": [
       "\\begin{center}\n",
       "\\begin{tabular}{lclc}\n",
       "\\toprule\n",
       "\\textbf{Dep. Variable:}    &       mpg        & \\textbf{  R-squared:         } &     1.000   \\\\\n",
       "\\textbf{Model:}            &       OLS        & \\textbf{  Adj. R-squared:    } &     1.000   \\\\\n",
       "\\textbf{Method:}           &  Least Squares   & \\textbf{  F-statistic:       } & 1.266e+27   \\\\\n",
       "\\textbf{Date:}             & Mon, 20 Jan 2025 & \\textbf{  Prob (F-statistic):} &     0.00    \\\\\n",
       "\\textbf{Time:}             &     14:19:58     & \\textbf{  Log-Likelihood:    } &    10112.   \\\\\n",
       "\\textbf{No. Observations:} &         392      & \\textbf{  AIC:               } & -2.021e+04  \\\\\n",
       "\\textbf{Df Residuals:}     &         383      & \\textbf{  BIC:               } & -2.017e+04  \\\\\n",
       "\\textbf{Df Model:}         &           8      & \\textbf{                     } &             \\\\\n",
       "\\textbf{Covariance Type:}  &    nonrobust     & \\textbf{                     } &             \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "\\begin{tabular}{lcccccc}\n",
       "                      & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
       "\\midrule\n",
       "\\textbf{intercept}    &   -1.244e-12  &     2.18e-12     &    -0.571  &         0.568        &    -5.53e-12    &     3.04e-12     \\\\\n",
       "\\textbf{mpg}          &       1.0000  &     2.35e-14     &  4.25e+13  &         0.000        &        1.000    &        1.000     \\\\\n",
       "\\textbf{cylinders}    &    2.609e-15  &     1.49e-13     &     0.017  &         0.986        &    -2.91e-13    &     2.96e-13     \\\\\n",
       "\\textbf{displacement} &    5.829e-16  &     3.49e-15     &     0.167  &         0.868        &    -6.29e-15    &     7.45e-15     \\\\\n",
       "\\textbf{horsepower}   &   -7.459e-16  &     6.37e-15     &    -0.117  &         0.907        &    -1.33e-14    &     1.18e-14     \\\\\n",
       "\\textbf{weight}       &   -1.355e-16  &     3.37e-16     &    -0.402  &         0.688        &    -7.98e-16    &     5.27e-16     \\\\\n",
       "\\textbf{acceleration} &     2.22e-16  &     4.56e-14     &     0.005  &         0.996        &    -8.94e-14    &     8.99e-14     \\\\\n",
       "\\textbf{year}         &    5.274e-16  &     2.94e-14     &     0.018  &         0.986        &    -5.72e-14    &     5.83e-14     \\\\\n",
       "\\textbf{origin}       &   -4.441e-16  &     1.32e-13     &    -0.003  &         0.997        &    -2.61e-13    &      2.6e-13     \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "\\begin{tabular}{lclc}\n",
       "\\textbf{Omnibus:}       & 21.218 & \\textbf{  Durbin-Watson:     } &    0.002  \\\\\n",
       "\\textbf{Prob(Omnibus):} &  0.000 & \\textbf{  Jarque-Bera (JB):  } &   19.836  \\\\\n",
       "\\textbf{Skew:}          &  0.493 & \\textbf{  Prob(JB):          } & 4.93e-05  \\\\\n",
       "\\textbf{Kurtosis:}      &  2.506 & \\textbf{  Cond. No.          } & 8.74e+04  \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "%\\caption{OLS Regression Results}\n",
       "\\end{center}\n",
       "\n",
       "Notes: \\newline\n",
       " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n",
       " [2] The condition number is large, 8.74e+04. This might indicate that there are \\newline\n",
       " strong multicollinearity or other numerical problems."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                    mpg   R-squared:                       1.000\n",
       "Model:                            OLS   Adj. R-squared:                  1.000\n",
       "Method:                 Least Squares   F-statistic:                 1.266e+27\n",
       "Date:                Mon, 20 Jan 2025   Prob (F-statistic):               0.00\n",
       "Time:                        14:19:58   Log-Likelihood:                 10112.\n",
       "No. Observations:                 392   AIC:                        -2.021e+04\n",
       "Df Residuals:                     383   BIC:                        -2.017e+04\n",
       "Df Model:                           8                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "================================================================================\n",
       "                   coef    std err          t      P>|t|      [0.025      0.975]\n",
       "--------------------------------------------------------------------------------\n",
       "intercept    -1.244e-12   2.18e-12     -0.571      0.568   -5.53e-12    3.04e-12\n",
       "mpg              1.0000   2.35e-14   4.25e+13      0.000       1.000       1.000\n",
       "cylinders     2.609e-15   1.49e-13      0.017      0.986   -2.91e-13    2.96e-13\n",
       "displacement  5.829e-16   3.49e-15      0.167      0.868   -6.29e-15    7.45e-15\n",
       "horsepower   -7.459e-16   6.37e-15     -0.117      0.907   -1.33e-14    1.18e-14\n",
       "weight       -1.355e-16   3.37e-16     -0.402      0.688   -7.98e-16    5.27e-16\n",
       "acceleration   2.22e-16   4.56e-14      0.005      0.996   -8.94e-14    8.99e-14\n",
       "year          5.274e-16   2.94e-14      0.018      0.986   -5.72e-14    5.83e-14\n",
       "origin       -4.441e-16   1.32e-13     -0.003      0.997   -2.61e-13     2.6e-13\n",
       "==============================================================================\n",
       "Omnibus:                       21.218   Durbin-Watson:                   0.002\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               19.836\n",
       "Skew:                           0.493   Prob(JB):                     4.93e-05\n",
       "Kurtosis:                       2.506   Cond. No.                     8.74e+04\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The condition number is large, 8.74e+04. This might indicate that there are\n",
       "strong multicollinearity or other numerical problems.\n",
       "\"\"\""
      ]
     },
     "execution_count": 350,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df = auto.reset_index()\n",
    "\n",
    "features = new_df.columns.drop(['name'])\n",
    "\n",
    "X = MS(features).fit_transform(new_df)\n",
    "model = sm.OLS(new_df['mpg'], X)\n",
    "results = model.fit()\n",
    "results.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "id": "0e354aec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Carseats = load_data(\"Carseats\")\n",
    "\n",
    "X = MS(['Price', 'Urban', 'US']).fit_transform(Carseats)\n",
    "model = sm.OLS(Carseats['Sales'], X)\n",
    "results = model.fit()\n",
    "results.summary()\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "ax.scatter(Carseats['Price'], Carseats['Sales'], label='Data points')\n",
    "\n",
    "ax.axline(xy1=(0, results.params['intercept']), slope=results.params['Price'], color='red', linestyle='--', linewidth=2, label='Least Squares Regression Line')\n",
    "\n",
    "ax.set_xlabel('Price')\n",
    "ax.set_ylabel('Sales')\n",
    "ax.set_title('Price vs Sales with Least Squares Regression Line')\n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4752bc05",
   "metadata": {},
   "source": [
    "Based on the above information, the Price and US status has a bigger impact on sales as opposed to Urban status. Actually, Urban status is related to a slight decrease in sales. With a low R2 value, this means there is limited explanatory power and the variance in Sales is not being captured well. This could be improved by the addition of more variables."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "islenv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}