Files
guadaloop_lev_control/RL Testing/Function Fitting.ipynb
2026-02-11 17:33:18 -06:00

2303 lines
1.2 MiB

{
"cells": [
{
"cell_type": "markdown",
"id": "91e4c90f",
"metadata": {},
"source": [
"Step 1: Clean out non-model simulation points: gap heights below 5mm"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "e4ff9106",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import os\n",
"plt.rcParams['text.usetex'] = True"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "32946653",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 4471 entries, 0 to 4470\n",
"Data columns (total 6 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 currL [A] 4471 non-null int64 \n",
" 1 currR [A] 4471 non-null int64 \n",
" 2 rollDeg [deg] 4471 non-null float64\n",
" 3 GapHeight [mm] 4471 non-null float64\n",
" 4 YokeForce.Force_z [newton] 4471 non-null float64\n",
" 5 YokeTorque.Torque [mNewtonMeter] 4471 non-null float64\n",
"dtypes: float64(4), int64(2)\n",
"memory usage: 209.7 KB\n",
"\n",
"After adding mirrored data:\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 8281 entries, 0 to 8280\n",
"Data columns (total 6 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 currL [A] 8281 non-null int64 \n",
" 1 currR [A] 8281 non-null int64 \n",
" 2 rollDeg [deg] 8281 non-null float64\n",
" 3 GapHeight [mm] 8281 non-null float64\n",
" 4 YokeForce.Force_z [newton] 8281 non-null float64\n",
" 5 YokeTorque.Torque [mNewtonMeter] 8281 non-null float64\n",
"dtypes: float64(4), int64(2)\n",
"memory usage: 388.3 KB\n"
]
}
],
"source": [
"magDf = pd.read_csv(\"Ansys Results 12-9.csv\")\n",
"magDf.info()\n",
"\n",
"condition = magDf['GapHeight [mm]'] < 5\n",
"\n",
"magDf = magDf[~condition]\n",
"\n",
"nzRoll = magDf[magDf['rollDeg [deg]'] != 0]\n",
"\n",
"mirrored_data = nzRoll.copy()\n",
"mirrored_data['rollDeg [deg]'] = -nzRoll['rollDeg [deg]']\n",
"mirrored_data['currL [A]'], mirrored_data['currR [A]'] = nzRoll['currR [A]'].values, nzRoll['currL [A]'].values\n",
"mirrored_data['YokeTorque.Torque [mNewtonMeter]'] = -nzRoll['YokeTorque.Torque [mNewtonMeter]']\n",
"\n",
"magDf = pd.concat([magDf, mirrored_data], ignore_index=True)\n",
"\n",
"magDf = magDf.sort_values(['rollDeg [deg]', 'currL [A]', 'currR [A]', 'GapHeight [mm]']).reset_index(drop=True)\n",
"\n",
"print()\n",
"print(\"After adding mirrored data:\")\n",
"magDf.info()"
]
},
{
"cell_type": "markdown",
"id": "ecd1f124",
"metadata": {},
"source": [
"### After removing non-model rows, we have 4459 rows * ~2 for the mirrored roll angles, which matches the number of simulations conducted in Ansys."
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "1a76017e",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"first_subset = magDf.iloc[0:13]\n",
"x = first_subset[\"GapHeight [mm]\"]\n",
"x = 1/x\n",
"y = first_subset[\"YokeForce.Force_z [newton]\"]\n",
"plt.plot(x, y)\n",
"plt.title(r\"$-15A, -15A, 0^\\circ roll$\")\n",
"plt.xlabel(\"Inverse Gap Height (1/mm)\")\n",
"plt.ylabel(\"Force on magnetic yoke (N)\")\n",
"plt.show()\n",
"\n",
"# Experimented here with ways to represent gap-height-to-force relationship."
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "1ba9a1b6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 8281 entries, 0 to 8280\n",
"Data columns (total 7 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 currL [A] 8281 non-null int64 \n",
" 1 currR [A] 8281 non-null int64 \n",
" 2 rollDeg [deg] 8281 non-null float64\n",
" 3 GapHeight [mm] 8281 non-null float64\n",
" 4 YokeForce.Force_z [newton] 8281 non-null float64\n",
" 5 YokeTorque.Torque [mNewtonMeter] 8281 non-null float64\n",
" 6 invGap 8281 non-null float64\n",
"dtypes: float64(5), int64(2)\n",
"memory usage: 453.0 KB\n"
]
},
{
"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>currL [A]</th>\n",
" <th>currR [A]</th>\n",
" <th>rollDeg [deg]</th>\n",
" <th>GapHeight [mm]</th>\n",
" <th>YokeForce.Force_z [newton]</th>\n",
" <th>YokeTorque.Torque [mNewtonMeter]</th>\n",
" <th>invGap</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>-15</td>\n",
" <td>-15</td>\n",
" <td>-4.0</td>\n",
" <td>6.0</td>\n",
" <td>260.518631</td>\n",
" <td>-6976.851677</td>\n",
" <td>0.166667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-15</td>\n",
" <td>-15</td>\n",
" <td>-4.0</td>\n",
" <td>8.0</td>\n",
" <td>163.529872</td>\n",
" <td>-3335.704070</td>\n",
" <td>0.125000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-15</td>\n",
" <td>-15</td>\n",
" <td>-4.0</td>\n",
" <td>9.0</td>\n",
" <td>136.554807</td>\n",
" <td>-2506.094902</td>\n",
" <td>0.111111</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-15</td>\n",
" <td>-15</td>\n",
" <td>-4.0</td>\n",
" <td>10.0</td>\n",
" <td>117.403213</td>\n",
" <td>-1959.725693</td>\n",
" <td>0.100000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-15</td>\n",
" <td>-15</td>\n",
" <td>-4.0</td>\n",
" <td>10.5</td>\n",
" <td>109.107025</td>\n",
" <td>-1759.467304</td>\n",
" <td>0.095238</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" currL [A] currR [A] rollDeg [deg] GapHeight [mm] \\\n",
"0 -15 -15 -4.0 6.0 \n",
"1 -15 -15 -4.0 8.0 \n",
"2 -15 -15 -4.0 9.0 \n",
"3 -15 -15 -4.0 10.0 \n",
"4 -15 -15 -4.0 10.5 \n",
"\n",
" YokeForce.Force_z [newton] YokeTorque.Torque [mNewtonMeter] invGap \n",
"0 260.518631 -6976.851677 0.166667 \n",
"1 163.529872 -3335.704070 0.125000 \n",
"2 136.554807 -2506.094902 0.111111 \n",
"3 117.403213 -1959.725693 0.100000 \n",
"4 109.107025 -1759.467304 0.095238 "
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# sooooo it looks like we can invert the entire gap height column and see how that works out...\n",
"magDf[\"invGap\"] = magDf[\"GapHeight [mm]\"].transform(lambda x: 1/x)\n",
"magDf.info()\n",
"magDf.head()"
]
},
{
"cell_type": "markdown",
"id": "9cd13fd5",
"metadata": {},
"source": [
"## Let's try fitting a polynomial to this..."
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "bd16a120",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Force Coeffs: [-8.65837181e-02 2.83478672e-01 2.86948934e-01 3.01765452e-09\n",
" 3.53295632e+02 -1.79173937e-03 -1.72965608e-03 -2.24271786e-02\n",
" -1.14467613e+01 -2.16073380e-03 2.24271783e-02 -1.16266321e+01\n",
" 3.17540504e-01 -1.63205830e-08 6.56934791e+03 -4.22076677e-05\n",
" -1.06778310e-05 -2.15844497e-04 1.18908945e-01 -7.64609651e-06\n",
" -6.00663086e-11 1.01686164e-01 -1.01983869e-02 1.54885340e-01\n",
" -1.03778353e+02 -4.02599166e-05 2.15844499e-04 1.29958896e-01\n",
" -1.01471000e-02 -1.54885337e-01 -1.00615041e+02 2.44554291e-10\n",
" 2.06864028e+00 -5.79189873e-07 -4.19530515e+04 -3.84322448e-07\n",
" 3.91430177e-07 -7.41838903e-07 7.93047135e-04 -4.85816599e-07\n",
" -2.53746609e-06 1.17129797e-04 -2.29814329e-04 4.03023264e-04\n",
" 2.97296754e-01 -1.05011480e-07 2.53746711e-06 -3.78159442e-06\n",
" -4.82390444e-05 6.31672492e-12 -5.68285023e-01 3.49652510e-03\n",
" 4.38290920e-01 -8.84140415e+00 7.71042932e+02 1.32237346e-07\n",
" 7.41837766e-07 7.27510018e-04 -2.31026415e-04 -4.03023107e-04\n",
" 1.91281532e-01 -3.49652510e-03 4.35555849e-01 8.84140411e+00\n",
" 7.49444071e+02 -3.20760957e-02 7.25108196e-10 -1.33481028e+02\n",
" 5.39284901e-06 7.71176013e+04 3.63953134e-08 1.21055308e-08\n",
" 1.38327010e-07 -2.26843442e-05 2.02886312e-08 -1.26534253e-07\n",
" -5.30119439e-06 8.63664127e-08 4.12729541e-05 -8.00925426e-04\n",
" 2.31829560e-08 1.45661261e-13 1.06948469e-05 -7.75307058e-07\n",
" 3.44198882e-05 7.75195525e-04 9.67991207e-06 3.94281513e-03\n",
" 1.52654026e-01 -5.85408108e-01 2.66529749e-08 1.26534701e-07\n",
" -1.16266847e-07 -8.31896955e-07 -3.44199448e-05 1.37334978e-03\n",
" 3.41060513e-13 7.56972800e-04 -5.81983350e-10 1.67361830e+00\n",
" -1.53624150e-04 -5.22167175e-02 -4.26268983e+00 -1.86825485e+01\n",
" -1.80981191e+03 3.91169848e-08 -1.38327266e-07 -2.90007854e-05\n",
" 5.72626959e-08 -4.12729217e-05 -4.53297520e-04 -9.67991258e-06\n",
" 3.95070565e-03 -1.52654027e-01 -2.35783105e-01 -1.49754214e-04\n",
" 5.22167175e-02 -4.24980327e+00 1.86825486e+01 -1.75997408e+03\n",
" 8.13571432e-13 4.47231699e-01 -4.49006710e-09 1.08183457e+03\n",
" -1.37863751e-05 4.14731645e+04]\n",
"Torque Coeffs: [ 8.38589158e-01 8.73851984e+00 -8.81670175e+00 -6.05820759e+01\n",
" -9.82724462e+01 -8.14346461e-02 -8.55573216e-03 -1.26586339e+00\n",
" -2.28782707e+02 7.92025829e-02 -1.26586339e+00 2.32329852e+02\n",
" 1.59724442e-01 2.40322153e+02 1.91664541e+03 -1.60378740e-03\n",
" 1.33688455e-03 -1.09883429e-02 4.99001686e+00 -1.13086452e-03\n",
" -5.01228566e-04 2.95245993e-01 -5.53027250e-01 1.40436061e+01\n",
" -7.51330187e+03 1.58514086e-03 -1.09883430e-02 -5.01157087e+00\n",
" 5.39147323e-01 1.40436061e+01 7.47720714e+03 8.04333346e+00\n",
" -9.27393815e-01 5.61703430e+04 -1.36592025e+04 -8.85043095e-05\n",
" 5.78297146e-05 -3.32036715e-04 1.42290241e-02 9.30856299e-06\n",
" -1.81943314e-04 4.52452056e-03 -1.03937269e-02 -1.18018278e-01\n",
" 1.97297584e+01 -5.50804572e-05 -1.81943331e-04 -3.44842175e-03\n",
" 5.10215386e-05 -1.04187648e-01 -3.02785064e+00 2.03017291e-01\n",
" 2.26755123e+01 -3.31637755e+02 4.95131780e+04 9.86640682e-05\n",
" -3.32036717e-04 -1.38740169e-02 1.04393181e-02 -1.18018278e-01\n",
" -1.90316043e+01 2.03017291e-01 -2.25845778e+01 -3.31637755e+02\n",
" -4.94386582e+04 -4.28909175e-03 -2.85648016e+02 -2.71181234e+00\n",
" -4.00600713e+05 2.87297365e+04 1.94950204e-06 -5.18825317e-06\n",
" -7.73369460e-06 5.36214594e-04 1.10845519e-06 -1.84292549e-06\n",
" -4.65903428e-04 6.42878210e-06 3.08081235e-03 -1.09668591e-03\n",
" -1.62664696e-06 6.42940023e-06 -1.00144481e-04 -2.50111810e-06\n",
" 1.71620767e-03 -2.14977215e-02 7.20307351e-04 1.76411744e-01\n",
" 8.07086541e+00 -3.68279934e+01 4.55521419e-06 -1.84292367e-06\n",
" 4.37143508e-04 -1.60120084e-06 1.71620770e-03 1.99691899e-02\n",
" 1.48517200e-04 -1.19885601e-03 1.78969342e+00 9.92388686e+00\n",
" -7.19411511e-03 -2.98153220e+00 -2.04344115e+02 -1.80247523e+03\n",
" -1.11849627e+05 -1.66017404e-06 -7.73369428e-06 -7.23356811e-04\n",
" -4.16883619e-06 3.08081229e-03 -6.83985220e-03 7.20307349e-04\n",
" -1.75664631e-01 8.07086541e+00 3.49676909e+01 7.76960323e-03\n",
" -2.98153220e+00 2.03737293e+02 -1.80247523e+03 1.12167507e+05\n",
" 4.69772030e-02 -2.00828167e-02 2.13341632e+03 5.37309113e+01\n",
" 1.24121750e+06 1.52681419e+04]\n"
]
}
],
"source": [
"from sklearn.preprocessing import PolynomialFeatures\n",
"from sklearn.linear_model import LinearRegression\n",
"\n",
"# The following was written by AI - see [4]\n",
"# 1. Load your Ansys CSV - using invGap for modeling\n",
"X = magDf[['currL [A]', 'currR [A]', 'rollDeg [deg]', 'invGap']]\n",
"y = magDf[['YokeForce.Force_z [newton]', 'YokeTorque.Torque [mNewtonMeter]']]\n",
"\n",
"# 2. Create Features (e.g. z^2, z^3, z*IL, etc.)\n",
"poly = PolynomialFeatures(degree=5) \n",
"X_poly = poly.fit_transform(X)\n",
"\n",
"# 3. Fit\n",
"model = LinearRegression()\n",
"model.fit(X_poly, y)\n",
"\n",
"# 4. Extract Equation\n",
"print(\"Force Coeffs:\", model.coef_[0])\n",
"print(\"Torque Coeffs:\", model.coef_[1])"
]
},
{
"cell_type": "markdown",
"id": "dd6861d0",
"metadata": {},
"source": [
"## Compare Model Predictions with Raw Data"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "dc79d9fe",
"metadata": {},
"outputs": [
{
"data": {
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p0qVkZmaSmJi437lOp5Np06YRFRVFfHw8eXl5ZGRksGjRInN+fn7+QccfFRVl7qDorvcUERGRDjIMX0cgvnL//R1bt2rNqzWviIhIX9CL172Bvg7Ar1RVYdm06cDj4uLatpWVQUfmVlV1Pq52tCxM582bBzQvVlesWEFCQgJpaWnk5+eTkpKC2+0mLS2NrKwsUlNTgebFb2JiIunp6fudm5iYyOLFi1m+fDlutxun00lOTo45p2V+Vx2K9xQREZH9WLsW0tPhrrtgyhRfRyM9raqqY+vWXrTmnTt3LgBJSUla84qIiEjH1NbCn/4EdXXw97/7Opp2KXHbGRERGCNGmC8t+xoXG9t+2x5z9/c9DtaiRYvM38xHR0ebC9O8vDySkpLMs7PmzZtHTk4OKSkpAGRkZJgL2L3ta67b7SY6OtqcZ7fbzTGdjTkvL898nZKSYi5aRUREpIc1NcEDD8Cdd4LHAxs3QnEx2Gy+jkx6UkREx9atvWjNe+mll7JkyRKteUVERKRjPvoIfvlL+P57ANafdjYhZ57OsMjete5V4rYzbrsNfvMbGhsbCQwMBMs+U7dtvfzyoYvrJ+np6WRlZbVpdzqd5qNfLVoWsHv/uaNznU7nfud1NWYRERHpYV9/3bx4/ewzs6mutp6P3lxFdOJxjI+L8mFw0qNuu63562D4aM1rGAbr1q3TmldERET2r6YG7rgDHnrIPCKhMTCID5e9T3HTMC4cP5wpY9v55bSPKHHbD9jt9v3+Vt9ut3d6bl5e3kFV3xUREZFe6KWXIC0NGhqaX1ssFF98FXMTpuP6ph7bmtWkJY1k1tSxvo1TZD/sdjvJycksWrRon/37m6s1r4iISB/39ttw3XWwbp3ZtGHMsSy98U9wzLEYVbUsK97MmMFhvWbnrYqT9QPTp08nPz+foqIioPk8r44WO9jX3NTUVAoKCsz3cbvd5uNfdrudkpISs707HIr3FBERkZ9MngwtSa0jj2RN3qv8+qSr8QSHMiLKhoFBbsFGiktdPg1TZH9SU1NZsWKF1rwiIiLSvqIiM2lrhIay9c67ybrzSTjmWAKsFoZEhFJd24irpsHHge6mxG0/YLfbyc3NZebMmcTHx5OcnNwtcwsLC8nMzCQqKqrVY2UzZswgOzu7W6vhHor3FBERkZ8MGgQLF8LcubB6Nd/Hj8fT0ERMWAiBVisxYSF4GpoorfD4OlKRfbLb7SxdulRrXhEREWnX++f/HxvGHMuaIydyb/YSPr3kGgYOCGFbVS1NXoNtVbWEhQYSNTDI16GaLIbx04EO/UxVVRWRkZFUVlYSsVdxhNraWtatW8fo0aMJDQ1t1WcYhnnGraUzZ9xKj9jXvfN6vWzfvp3Bgwdjter3Ff5C980/6b75J903/3RQ9+2jj2DOHHj+eRgypN0hxaUufv3cagwMYsJCKK+uw4KFBy6bcEjPut3f+kwOzsGuef1Nf1yjH6r7p/8fdC9dz+6ja9l9dC27l65n9+nWa1lRAcuXw4wZAGyp9PD35T9gq3QRPnwI26rrsVhg8pgYPlxbTnVtI2GhgT1yxm1n1rw641ZERESkP9i7EMPNN0NubrtDx8dFkZY0ktyCjWxyebAFBZCWNFIFykRERESk93vhBbjxRigrg8MPh5NOwlXTQHVtI4NHDjOPRXCWVTN2cAQnjI7BVdNA1MCgXnO2bQslbkVERET6uhUrYObMVoUY2LABdu6E8PB2p8yaOpbJYwZRWuEhLtqmpK2IiIiI9G7bt8Mtt8DSpbvbbrsNPvqIqIFBhIUGsq2qliERoa2ORRgWaet1CdsW2sMtIiIi0ldVVkJ6OqSk7E7ahobC3/7WfGTCPpK2LcbHRXHB+OFK2oqIiIhI72UY8N//wtFHt0ra7kw5h21PPgPAsEgbF44fjsUCzrJqLBa4cPzwXpuwbaEdt/vRT4//9Wu6ZyIiIj955RW44QbYtGl322mnwRNPwNixvotLeh2tn/yT7puIiAiweXPzsQgvv2w2NdijyL1qNh8kTSPs6xouDCxjythYpoyNZczgsF57LEJ7lLhtR0BAAAD19fXYbL3/Jspuu3btAiAoqPdUABQREelxv/41PPjg7tdhYZCdDRkZoKIZ8pOW9dKuXbu05vVDWveKiEi/Zhjwj380H4VQWWk2ey66hHvPv4mdkTE4fjoSYVnxZsYMDjOPRPCHhG2LXpG4LSoqIj8/H4BVq1axePFi7Ha72QeQkJCA0+nE7XaTkJAAgNPpJC8vD4fDgdPpJD093ZzXFYGBgQwYMICysjKCgoJaVbLrjxVr/YFhGOzatYvt27djt9vN5LuIiEi/dOKJu/989tmQk9NcmEFkDwEBAdjtdrZv3w7AgAED/HZ925/W6Fr3ioiIAE1NsHDh7qTtkCHw6KOsO3kaW1euwRER2qoImaumwa8Sti16ReI2Pz+fOXPmAJCdnU1ycjKFhYUA5OTksGjRIgBSUlLI3aP6cVpamjnO6XQyc+bMVv0Hy2KxMGzYMNatW8ePP/7Yqs8wDLxeL1artc8vCv2R3W5n6NChvg5DRETEty67DN58E6ZOhauuAq1ZZB9a1k0tyVt/1R/X6Fr3iohIvxYY2LzjNjGxee37979DTAxRlZ59FiHzRz5P3BYVFTF//nwzcZuamkpmZiZOpxOHw0FiYiIulwug1W5ap9PZ6n0cDoe5a7c7BAcHM3bsWOrr61u1e71eysvLiYmJabUTV3wvKChIOw5ERKR/MQxsS5Zg+fZbePzx3e0WC/zznz4LS/xHy4aFwYMH09DQ4OtwDlp/W6Nr3SsiIv3O2rXg8cBxxwGwpdKDK+ZwBn32OYMnHGMOaylCtqx4M86yasJCA/2iCNm++Dxxm5CQwOLFi83XbrcbgOjoaLOtveMP8vPzW41pmVNUVGQepbCnuro66urqzNdVVVVA8yLP6/XuM77g4OBWr71eL4GBgQQHB/eLRaG/2de99Hq95k4M8R+6b/5J980/6b75oQ0bICODyLfeAsB79tnw85/7OKiu0c+f7wQEBPh1ItDr9RIUFERoaKjW6CIiIn1JU1Nz7Ybf/x7i46GwkPd/rGRZ8WaqaxubE7MDm4uPtfDHImT74vPELTTvsm2xZMkSUlJSzGSt2+0mLy8PaD7/NiMjA4fDYSZ491ZRUdFu+/z587nrrrvatJeVlVFbW9vhWL1eL5WVlRiGoUWhH9F980+6b/5J980/6b75Ea8X27PPEv6Xv2CtqTGbPW++yc6TT/ZhYF23c+dOX4cgIiIiIr3FN9/AL38Jn37a/Pqrr6jKvo9lR52HYYAjNqxN8bEW/laEbF96ReK2RUuStuXcWqBVwTGHw8G0adMoKSnZ73u0Z968edx2223m66qqKuLi4oiNjSUiIqLDMXq9XiwWC7GxsfqHrR/RffNPum/+SffNP+m++Yk1a7Ckp2N57z2zqW7wED6/I4vQiy7k+MF238XWDUJDQ30dQrfIy8sjJSUFaPvk2MEW3j1URXlFREREep2GBrjvPrjrLmg5wtRigVtuYdOMq6n+dAuO2LA+UXzsQHpV4jYzM5Ply5e3Ocu2ZTHbslB1Op3Y7fY2u2srKir2uYANCQkhJCSkTbvVau30P1AtFstBzRPf0n3zT7pv/kn3zT/pvvViTU3wwAPNj4jt8aTQ1+fPYOHUGRRVhxG6pJi0pJHMmjrWd3F2UV/52UtLS2vTlpWVxZw5cw668O6hKsorIiIi0psEfvUVljlz4PPPdzcecQQ8+SSceir2Sg9hoWV9pvjYgfSa1XF2djaZmZnmMQhut5uioiKSk5PbjI2OjjZ3MewtKSnpUIcqIiIi0nPcbjjlFPjtb3cnbUePpuS/L3LL6el4bAMZEWXDwCC3YCPFpS6fhtvfud1ucnNzMQzD/GpJ2gJm4V2Xy9Vqw8L+Cu8e6qK8IiIiIj5XV4flj38k5txzsbQkba1WmDMHVq+GU08Fdhcfs1jAWVaNxYJfFx87kF6x4zYvL4+EhAQzabt06VLS09NxOBxkZWWZ4/Lz80lNTcVut7fZWet0OklKStIjYyIiItK3REbCoEHNf7ZY4NZb4Z57+HZtJR7n14SHBrKrwUpMWAibXB5KKzyMj4vybcz93J71G/Ly8lq9hs4X3i0oKOhwUd6DLcjr71RgsfvoWnYvXc/uo2vZfXQtu5euZzf57jssCxZgaWwEoOGocWz42yPYTjmRoSEhsMf1nRwfQ/ygAbh2NRA1IIihkTa/uv6didXniVun09nmcTK73W6e25WUlER2djZ2u52SkpJWj4Tl5uaSmZnJpEmTWLVqlR4XExERkb7HYoGcHEhNhfvvb959C8RF12MLCmBnbSONFi/l1c2v46L75m4Df7FnUtbtdlNRUYHD4WjV1tnCu50pyttdBXn9jQosdh9dy+6l69l9dC27j65l99L17CZDhjDwppsIe/RR1l2bTt6Z06mpCiB05RecMDqaY4ZHthpuBWICgLpatm/3rwK3nSnI6/PErcPhwDCMffYnJCS02Umw59yWHbl772QQERER8Tu1tc1FGCZPhgsu2N0+ciR8/HFzEvcn4+OiSE0cScF369nk8hAaFEha0kjttu1FMjMzWz09Bt1XeHdffd1VkNffqMBi99G17F66nt1H17L76Fp2L13Pg/Tpp5CQAEG7z6b13nMPJdPOYZFnCIZhYUh4KNt21vKm08O40SMZ2keOQ+hMQV6fJ25FREREBPjwQ7juOvj+exg+HL7+GvZ8pH6PpG2LG84Yw6exVnY02TgsZoCStr2I2+0mPz+/3eO9Olt4tzNFebuzIK+/UYHF7qNr2b10PbuPrmX30bXsXrqenVBdDfPmwSOPwF/+0lx8t4XNRsXoI6gpqmB0bDgBVgtDImw4y6pxe5oYHtU3rm9nfk76xicWERER8VfV1c3n1k6Z0py0BdixozmR2wGjY8M4//hhStr2MgUFBW0SqwdbeFdFeUVERKRPyM+HY49tTtoC/PnP8MMPrYaEhQQwMDSQbVW1NHkNtlXVEhYaSNTAoHbesO9T4lZERETEV/Lz4bjj4OGHoeXoqBNPhM8/h/PP921s0iVFRUVtCortr/DunufgQuvCu/vrExEREen1Kith5kyYNg1+/LG5zWaD7GyIj281NHpgCBccPxyLBZxl1VgscOH44QzrI8ckdJaOShARERHpaW43/Pa38OSTu9tsNrj7bvjVryAgwGehSffZO+HalcK7KsorIiIifumVVyAjAzZvNptqTp5CzcLHGDzhmHannDpmEGOHhOOqaSBqYFC/TdqCErciIiIiPeujjyAtrdXilTPOgMWLYcwYn4Ul3WvOnDntth9s4V0V5RURERG/Ul7evCHh3/82mxoHhvHyL37FilN/zsC1jVw4sIwpY2PbnT4s0tavE7YtlLgVERER6UkjR0JVVfOfw8ObHxFLTwcVsxARERGRvuKRR1olbWuTU7j/0ttxDRrG6IhQtlXVsqx4M2MGhylBux/6F4KIiIhITzrsMMjKgnPPha+/hhtuUNJWRERERPqWzEw48kiw2+Gf/8T5dB4bw2MZEhFKgNXCkIhQqmsbcdU0+DrSXk3/ShARERE5VDZvbt5N27LDtsWNN8Krr0JcnG/iEhERERHpLoYB33zTui00FHJzm9uvvpqosGDCQgPZVlVLk9dgW1UtYaGBRA0M8k3MfkKJWxEREZHuZhjwj3/A0Uc3n12bmQlAcamLV4o3U7zRDRaLb2MUEREREemqjRvhwgsxEhJY++4qtlR6dvcddxwMGwY0n1l74fjhWCzgLKvGYoELxw/XMQkHoDNuRURERLrTjz8277J9663dbS+8wJPnXse/vt+Jp6EJW1AAaUkjmTV1rO/iFBERERE5WIYBTz4Jt98OVVVYAOv11/PAPf/kgokj2y06NmVsLGMGh+GqaSBqYJCSth2gHbciIiIi3cHrhUcfhWOPbZ20veIKvnrrQ/71/U4MDEZE2TAwyC3YSHGpy3fxioiIiIgcjHXrYNo0mDnTPBLMHRnDZ2m/xGuxsqx4c+udt3sYFmnj6OERStp2kBK3IiIiIl31ww9wxhlw881QXd3cNmIEvPIKPPss6w0bnoYmYsJCCLRaiQkLwdPQRGlF+wtaEREREZFex+uFhx/Ge9xxsGKF2fxq4tlcfdtTPDNkIvVNTSo61o10VIKIiIhIVzzyCMyeDbW1u9vS0yE7GyIjAYiLtmELCqC8uo6YsBDKq+uwBQUQF62dBiIiIiLiB374Aa67Dj74wNwFWhEzhMcvn81bhyUQGhSAxTAoLnVz3Ai7io51E+24FREREemqlqStwwErV0JOjpm0BRgfF0Va0kgsWNjk8mDBQlrSSMbHRfkoYBERERGRDjIMSEuDDz4wm1ZfcDl/vPs5XhsxgbGDw7BaoL7JoLHJ4MTRMToKoZtox62IiIhIV8yaBXl5MHEi3H03DBzY/rCpY5k8ZhClFR7iom1K2oqIiIiIf7BYmp8yO+00ygaPYOXt97B54skM8tSDexsAJ4yKYZN7FyFBVpKPHuzjgPsOJW5FREREOqqgAN59t7l6bgurFZYvh6ADPw42Pi5KCVsRERER6d0aGqCiAoYM2d02ZQquZ/7DA5bR1IfYGOI1qK5rIn5wGCFBVrbvrCVqYDAXjh+u3bbdSIlbERERkQPxeOBPf4K//a25KMMJJ8CUKbv7O5C0FRERERHp9YqKaLj6GhoGhFH5xnKGRe1+mizqyss5Z00Zy4o34yyrJiw0kOunOBgzOAxXTQNRA4OUtO1mStyKiIiI7M8HHzQXYvjhh91tDz3UOnErIiIiIuLPamvhz3/GyM4mqKmJIOCt395NzNzbmDI21hw2ZWxsu4laJWwPDSVuRURERNpTXQ3z5sGjjzYXZAAIDoY//AHmzPFtbCIiIiIi3eXjj+GXv4TvvsPyU9P20Uey/ojj+ah4M2MGh7VKzA6LtClR20OUuBURERHZ2/LlkJ4O69fvbjvpJHjySTj6aJ+FJSIiIiLSbXbtgt//Hh54wNyo0BgQyCe/mEXhZTNpDAiiuqwaV02DErU+osStiIiISItdu+CWW+Cpp3a32Wxwzz1w660QEOC72EREREREuss778D110NJidlUn5DIw/83j61xYxgSEMS2qlrCQgOJGqh6Dr5i9XUAIiIiIr1GSAh8+635cucpU1i5NJ/i1GuUtBURERGRvmHNGjjzTDNpa4SEQHY2wZ9+wgkXnobFAs6yaiwWuHD8cO229SHtuBURERFpERDQfBzC6afzzpW38OfBp7Dri13Yvl1NWtJIZk0d6+sIRURERET2aUulp03hsDbGjmXLZVcx7L9Ps/aI8bww6y5OOu8UpgQG7rP4mPiGErciIiLSPxkGLF0Khx0GJ5+8u33cOL74cDV3vfg9BgYjIkIpr64jt2Ajk8cMYnxclO9iFhERERHZh/fXlLGseDPVtY2EhQZy4fjhTBkbC5WVEB4O1uYH77dUelh4zkzGh8ex/qJfsL26nmV7FCFT8bHeQ0cliIiISP+zeTNcdBFcdhlcey1frNnCK8WbKS51AbBhF3gamogJCyHQaiUmLARPQxOlFR7fxi0iIiIi0o4tlR6WFW/GMMARG4ZhwLLizVT8ZykcdRQsWmSOddU0UG4NZf0lVxAQGMCQiFCqaxtx1TT48BNIe7TjVkRERPoPw4B//ANuu6155wHA99/zyp0P8fLxydiCAkhLGsnkMYOwBQVQXl1HTFgI5dV12IICiIvWzgMRERER6X1cNQ1U1zbiiA0jwGphlHcXJzzwJ6I/eat5wOzZcN55cNhhRA0MIiw0kG1VtQyJCFURsl5MO25FRESkf1i/Hs4+G667zkzaNgyK5Y9X/JG3EqcxIsqGgUFuwUYA0pJGYsHCJpcHCxbSkkbqmAQRERER6ZXMZGylhzFvv8rVM89nUkvSFuC008xiu8MibVw4friKkPkB7bgVERGRvs3rhYULYe5cqKnZ3X7llay8bg5vfriVEXscibDJ5aG0wsOsqWOZPGYQpRUe4qJtStqKiIiISK/QXgGyYZE2LhkWQNhvbuXYVW+bY732KKwPPQhXXAEWi9muImT+QYlbERER6bvWroVrr4UPPtjdNnIk5OTAeecxtNSF7bOyfR6JMD4uSglbEREREek12i1ANmYQPPMMJ/361+B2m2M/T5rKsvQ7mHrS8UzZI2nbQkXIej8dlSAiIiJ9V10dfPrp7tcZGfD1183ne9GcmNWRCCIiIiLiD/ZVgKwy6z645hozaVsdEcUzt93LirsfY6d9EMuKN7OlUkV2/ZF23IqIiIjfKS51dewIg2OOgd//Hp5+Gp54AqZObTNERyKIiIiIiD/YuwDZkIhQnGXVbLloBpGPPACbNuG+ZDr3pKQzxDGy1RhXTYN21/ohJW5FRETEryx8ew25BRvxNDRhCwogLWkks6aOhfp6eOwxuOEGCAnZPWHuXLj9dhg4cJ/vqSMRRERERKS3aylAVr6jkphBkWyrqiUsNJDIYYPgqaegrg7PaSlYlv/AtqpahkSEmmOiBgb5Onw5CDoqQURERPxGcamL3IKNGBiMiLJhYJBbsJEfXlkJSUnw61/D3Xe3nhQcvN+krYiIiIhIb7Ol0sM3m6taHXEwLCyYjM+XMe+WC6j4vgSLBS4cP7x5J+1ZZ8GFFzIs0saF44djsYCzrLr1GPE72nErIiIifqO0woOnoYkRUTYCrVaGBcN5zz/O2Ll54PU2D7rvPrj1VoprA3X8gYiIiIj4nXYLkDWVwy9/SfzHHwNw+//+Tv2LLzHMPqDN/CljYxkzOAxXTQNRA4OUtPVjStyKiIiI34iLtmELCqC8uo7JW7/jhmf+StyOTbsHTJgATz3Fwq/c7R+nICIiIiLSi+1dgKzMVc3OP92N8XwOlro6c9x3tkEYm93tJm4BhkXalLDtA5S4FREREb8xPi6Ky4+JYtA9d3HRxy9hNYzmjuBg+OMfYfZsirdWk5u/2jxOoby6jtyCjUweM0g7b0VERESkV9uzAFnY919z2YN3MtL5jdlfNjSOFbf/lcLDj8PyTRnxI6KUoO3DlLgVERER/7F8OemzZsKPP+5uO+mk5mIM48YBbY9TiAkLYZPLQ2mFR4lbEREREenVogYGERlgEP9INhe+9jSB3iYAvFYrK875P75Ovw1jwACGeA2cZdW4ahqUuO3DlLgVERER//Hhh7uTtjYb/PWvcMstEBBgDtnzOIWYsBDKq+uwBQUQF60FrYiIiIj0bsMibfzm4d8y+ON3zbaNw0fzXMYfWT/mWGz1FoaEGmyrqiUsNJCogUE+jFYONauvAxARERHpqC+uvJGqMUex85Qp8OWX8Otft0raQvNxCmlJI7FgYZPLgwULaUkjtdtWRERERHqFLZUevtlcxZZKT7v9tTMzAGiyBvD+jAxyH38Jp+NYTnIMwmIBZ1k1FgtcOH64dtv2cdpxKyIiIr1TWRm8/z5ccgkAC99eQ27BRmxpf6Y2MprUDV5mxbc/ddbUsUweM4jSCg9x0TYlbUVERESkV3h/TRnLijdTXdtIWGggF44fzpgYG65aL1EDgxgWaSPokovIfzWdL084k6bxE8zdtcnjBpM8bjCumgZzrPRtStyKiIhI72IY8NxzzUcgVFZCURHF9pHkFmzEwMAWN5xdHSg4Nj4uSglbEREREek1tlR6WFa8GcMAR2wYFdtd7LrxZrZXbueBGxcQFBjA+ccP5ecTRrJ2/t1sKd5MdVm1meBtSdQqYdt/KHErIiIivcfmzXDjjfDyy7vbZs+mNOspFRwTEREREb/mqmmgurYRR2wYo4o/4br7f0/Uto0AHPnOqyw7+nTWbNsJWPj5hBGMGRym3bX9nBK3IiIi4nuGAU89Bbff3rzLtkVaGjz8MHH1wSo4JiIiIiJ+LWpgEIOaPJz6t/mclP+82V4XGMzA2l0MjQxla2Utr36xmRNGRzMs0qaEbT+nxK2IiIj41vr1MHMm5OfvbhsyBBYuNM+3HQ+kJTUfl7DJ5cEWFKCCYyIiIiLiN7ZUemh4+VXmZd6KbdsWs/3rMRP4889/TWP8GDz1TUSEBtHQZOCqaVDSVpS4FRERER/xeuHRR2HePKipMZsrUi9n1S13MHT0cMbvMVwFx0RERETEH3286geCZt9O0ruvmG1NA8OovusvrJ16CdtXlFBfWUtEaBCDwoKJDQ8hamCQDyOW3kKJWxEREel2xaWuAydYGxrg8cd3J23j4nhl1h+4LyAezwdbsH26nbSkkcyaOtacooJjIiIiItIbba304PY0tTmPdtsP6zh22imEV5abbd+PP5moZ//B4OOO5OcA1gBe/WIzDU0GseEhrQqRSf+mxK2IiIh0q4VvryG3YCOehibzSIM9k6+mkBB48kk49VSYOZMvb5nLfa86MTAYEWWjvLqO3IKNTB4zSMlaEREREem1PnWW89raDdQ3YSZep4yNBaA8LIaNR04k8bN8ageG807GXF6ecBY3xwxj8E/zfz5hBCeMjlYhMmlDiVsRERHpNsWlLnILNraffHWVQnAwHHXU7gknnQRr1sDo0fxYvBlPQxMjomwEWq3EhIWwyeWhtMKjxK2IiIiI9ErLijfx0upN/FBlJTw0mMbGJpYVb2bM4DCGRdqIGhhEbvrvIDSUzzJm4wyKJMxCm6MQVIhM2qPErYiIiHSb0gpPm+TrtrIqbHf/BZ56GBIS4KOPICBg96TRowGIi7ZhCwqgvLqOmLAQyqvrsAUFEBetBaz4l6KiIgASEhJwOp243W4SEhIAcDqd5OXl4XA4cDqdpKenY7fbu9QnIiIivrGl0sNrX26l0WswNDIU2/Zt3PTE/RSefgGuU0abydgzTzuWJZF3U13bSJgFHYUgHabErYiIiHSbvZOvg74t5t7cv+HYuq55wGefwVNPwcyZbeaOj4siLWkkuQUb2eTymMcsaLet+JucnBwWLVoEQEpKCrm5uWZfWloahYWFQHMydubMmWb/wfaJiIiIb7hqGmho8jIg0ErCu8u4/qWFhHmqGbfhWzy3XwFEADBlbCxjBofpKATpNCVuRUREpNu0JF9f+riEi//zOJd/+DwBhre5MzAQ5s6Fq67a5/xZU8cyecygAxc2E+nFEhMTcblcAK12xTqdzlbjHA4H+fn5XeoTERER34kaGMSY2nJSF/6RI74qMNu9Fitbi75mqCPObNNRCHIwlLgVERGRbjUrYAvXLb6JkPV7JJsmTmzeaTthwgHnj4+LUsJW/F57xxjk5+cTHR3dqi06OpqioiIKCgoOqq/lCAYRERE5tLZUelrvmPV6Gfavp5gzJ5PAXTXmuI9OPZ83fjmHWiIZUulRsla6RIlbERER6R47dzbvqF24kJCfmuoCg3gm5WqabvsNN0w42qfhifQUt9tNXl4eAKtWrSIjIwOHw4Hb7W53fEVFxUH37a2uro66ujrzdVVVFQBerxev19vxD+FnvF4vhmH06c/YU3Qtu5euZ/fRtew+upad98HaHbzyxWZqahsZGBpIakQtk+6eg+X9983EWnnUYN64+Y9sPzWZCK9B+Y5qKqrrGBIest/3lt36y89mZz6fErciIiLSPb76Ch57bPfLw49m0dV38EXYUCyrt3HyUcO0k1b6hT0LhzkcDqZNm0ZJSck+x+8rMXswffPnz+euu+5q015WVkZtbe0+38vfeb1eKisrMQwDq9Xq63D8mq5l99L17D66lt1H17JjKmrqqK5roqnJy4c/lBEFjI4OYtC7bzHxgTux1NebY7dfmsqzP0+n3haGvXEn7l0NjLSBpbaS7dv77v9/u1t/+dncuXNnh8cqcSsiIiLd4+ST4ZZbaFy0mL+fcTVvTr2UkJBgYoID2OTyUFrhUeJW+gWn02keYeBwOHA6nTidTux2e5tdshUVFdjt9oPu29u8efO47bbbzNdVVVXExcURGxtLREREN33C3sfr9WKxWIiNje3T/9DrCbqW3UvXs/voWnYfXcsDa95h66KmtpFGrxfXLi8njIqh1mphx/iTaAgMIai+HsPhwJuTQ9Mxx5BUZeXVL7ewsaKRgaE2LjhuOEeNHuTrj+JX+svPZmhoaIfHKnErIiIiB2fFCjjjDAgI2N3217/y0LizyfnRwFtRR6C1jgEhgUQNCCYuWud7Sd9XVFREcnKyWZysRXR0NCkpKeTk5LSZk5SUhMPhOKi+vYWEhBAS0vaRTKvV2qf/AQRgsVj6xefsCbqW3UvXs/voWnYfXct921Lp4ZUvtrCrvonw0GDKqmsp21nPt1uriA0PZacxkJd/OYcLmrYRdu8CLDYblu3bmTI2liOGRrQ+B1c6rT/8bHbmsylxKyIiIp2zfTvccgssXQoPPAC/+pXZVVxRz7KdNsJC6tjV4KXRa1Bd28iF44drt630Cw6Hg6ysLPN1fn4+qamp5s7ZPTmdTpKSkrrUJyIiIl23Z+ExV00D63bUUF3bwGEb1nDD64u5MzWTbxu9fL25CltQAMdcMoOwqWObJ+9xXumwSJsSttKtlLgVERGRjjEM+O9/4dZboby8ue13v4O0NBg+HIDSCg+ehibih4RTW9+Ep74Jt6eBE0fH+DBwkZ5jt9tJSkoiOzsbu91OSUkJubm5Zn9ubi6ZmZlMmjSJVatWdUufiIiIHLz315SxrHgz1bWNhIUGcsywcCpdO7lixb/4xdv/JdDbxI0vL2TpLXcTZx9AdX0D68t3saXSoyStHHJK3IqIiMiBbdoEN9wAr7yyuy06Gh56CIYNM5viom3YggIor64jJiyEmvpGIm1BOiZB+pWEhATzjNu97bkjNzU1tVv6RERE5OBsqfSwrHgzhgGO2DC2VdWy+a33eGLRXRy2db05btzWEuJDICoylEHeEJxl1bhqGpS4lUNOiVsRERHZN8OAJ5+E22+Hqqrd7Wlp8PDDMGRIq+Hj46JISxpJbsFGNrk82IICSEsaqWMSRERERKTXcdU0ULazjiERodTv3Mn0JQtJ/N/TWI3m4w+aAgJZdsG1PHpiKkcGBBHhNdhWVUtYaCBRA4N8HL30B0rcioiI9GPFpS5KKzyMjAplaPBenevWwcyZzUXIWgwdCgsXwsUX7/M9Z00dy+Qxgyit8BAXbVPSVkRERER6nS2VHpat3sg3m6sI+egDbnnxfkbs2GT2b3QczdPX3UnlEeO4OGYA68t34SyrJiw0kAvHD9duW+kRvSJxW1RURH5+PgCrVq1i8eLFZrEFp9NJXl4eDocDp9NJenp6h/pERERk/xa+vYbcgo14GpoYEGTlivF2rkkZvHvAQw+1Ttpecw3cfz9EHTgROz4uSglbEREREek1tlR6WLO1GiwGrl0N/OfT9Xy5sYpbV/6TGz5aao5rCg4h4C9/JuC6G7m4ziBqYBDDIm2tCpgpaSs9pVckbvPz85kzZw4A2dnZJCcnU1hYCEBaWpr5Z6fTycyZM81iDPvrExERkX0rLnXtTtoGB+Cpb+SDtTtIOMrNhMOimwf9+c/wwgvNlXIXLYJzzvFt0CIiIiIinbSl0sOKb7ezrHgjm1y1NHkNGpq8eA3wGvCjfag59utRxxLy9D8Zc1oiw4Bhe7zPsEibErbS43yeuC0qKmL+/Plm4jY1NZXMzEycTmebsQ6Hw9yZu3f/nn0iIiKyf6UVHsp21lHf2EQ5FoK9DQwqW09pxTFMOOynQeHhsGwZHH44RET4NF4RERERkc56f00ZS1eVsmp9BTtrG4keEExokJWKXfVYsNDk9fL8+LM4c+1nfDZqPK+fdgmPjnb4OmwRk88TtwkJCSxevNh87Xa7AYiOjmbp0qVER0e3Gh8dHU1RUREFBQX77Guvim9dXR11dXXm66qfCqx4vV68Xm+H4/V6vRiG0ak54nu6b/5J980/6b75B099A/UNjRjA8eVO7nr5QeJdm/jX+KNZBsRF2zh+pB2OOaZ5gu5nr9TX/r71lc8hIiIivrel0sOy4s3UNngJtFowMJhY/D4nl/3AX07+Pxq9BhaLBcMwuPGSO7AFB+KIHEBQQICvQxcx+TxxC827bFssWbKElJQU7Ha7mcTdW0VFxX772jN//nzuuuuuNu1lZWXU1tZ2OFav10tlZSWGYWC1Wjs8T3xL980/6b75J903/xDaWMNEeyOXLH+OS9/OI9DbBMAJWfO498a7CQ60cuqYQZx3/HAfRyr709f+vu3cudPXIYiIiEgfsWZrNZtdHobbQwmvdjPnhUf42TfvAPDusGP4dGwinnovWCzYBwRxeIyNw2PCiBoY5NvARfbQKxK3LdxuN3l5eea5tfsb19m+efPmcdttt5mvq6qqiIuLIzY2lohOPP7p9XqxWCzExsb2iX8g9Re6b/5J980/6b71Hl9sdFNa4dm9e3YPR372JQv+/htGb1tvtv045DCyT/4FdUFhbKquY32xm4SjRrWZK71HX/v7Fhoa6usQRERExM9tqfSw4pvtvPPDdtbvqGb0O6/x75ceIrqm0hxzzncfcvKNl1Fd6+XTdeUEWC3Ehodw4fjhOsdWepVelbjNzMxk+fLl2O12AOx2e5sdtBUVFdjt9v32tSckJISQkJA27VartdP/0LFYLAc1T3xL980/6b75J90331v49hqz+JgtKIC0pJHMmjoWdu2CP/yBI/7+d/P4gwZrADknpbL8vOl8vyuE+Hov0WGhbHJ52OiqZcJhuo+9WV/6+9YXPoOIiIj4zvtryliyagOrN7gZvMvFfa88womfv2v2Vw8I54WrZ7My6SxmjxrE0cMjuKRyBK6aBqIGBilpK71Or0ncZmdnk5mZicPhMHfNpqSkkJOT02ZsUlISDodjn30iIiL9WXGpi9yCjRgYjIiyUV5dR27BRs7a8T1jfvcbWLvWHPvtsDHcd1kmzmEOwo0aGr0GnvomauobsQUFEBetxauIiIiI9H5bKj0sXVXKjqo6zipazq9fWUiEZ/cxTKsmns6q2XezLjCcWAvmkQjDIm1K2Eqv1SsSt3l5eSQkJJhJ26VLl5Kent5m96zT6SQpKcnccbuvPhERkf6stMKDp6GJEVE2Aq1WYsJC2FZWxfBf3QBbNjUPCglhy68zudk+haYAK4PCgrHW1mLFi9vTQKQtiLSkkYyPi/LthxERERERaceWSg+umga2VO7CU+/lq82VfP39Ru76791MWbPKHFcZZueZK37LD6eeQ1MThAWhIxHEb/g8cet0OklLS2vVZrfbSU9PByA3N5fMzEwmTZrEqlWryM3NNcftr09ERKS/iou2YQsKoLy6jpiwEMqr6wiyhbJ1wf04rp4Bp5wCTz7JsKOO4tKfjlTY5PIwzh7IjBOHcuLoQcRF25S0FREREZFe6f01ZSwr3szqDS42u2sJsFrwNDRieC0E1teZ45YdcwY5l9zKzEtOIHV0tI5EEL/j88Stw+HAMIz99mdlZQGQmpra4T4REZH+anxcFFccEcZrBT+yqcFunnHrmDoVhkRCSgoEBAAwa+pYJo8ZxIbyXQwK8HDiMQ6dMyoiIiIivdaWSg/Lijezo7qObVV1GIDX8NLoBQwrvzvnFv6x9A/89czr2XLaNGLDQxg7OFxHIohf8nniVkRERLrZCy9w3axZpB11DO/9/WniYgbs3j179tltho+Pi+K4EZFs3769hwMVEREREekcV00D1bWNBFtg+icvsnnEaN4deTxWC3gN2D54JBfOWoTXGkDiwCBiw0PM82xF/I0StyIiIn6uuNRFaYWH0U07OWbBnfDT0UERW7dywRcr4KqrfByhiIiIiMjB21LpYc22nWBYiBwQyKiKTVz8yJ2MXfMFpfahFN24kAZrCIZhEBpooa4xEFtQABG2IJ1nK35NiVsRERE/0ZKg3fP82YVvryF3VSmnF7zFlFcfg11VuydccAGceaaPohURERER6bqXVm/iifecbK70EOT1Mmv1S9z26lMENtQDEOfeyqklhbx3/OlEDQxmUFgIoUEBnHHEYJKPHqykrfg1JW5FRET8wMKfioh5GprMM2snjxnE2/mf89f/3c/J331qjm2MiibwkYfh8svBYvFh1CIiIiIiB++l1Ru5+5VvKa+p54jt68l+7UGO37rG7K8fNZov7/obp48/iSuibQyOCFUBMulTlLgVERHp5YpLXeQWbMTAYESUjfLqOnJXlTLulSX849H5hNXtMse+dcxp8PDDnDX1eB9GLCIiIiJy8FqORvjPJxuoqa7h5g/zuPmjJQR7GwFoslhZcfblHPfUgyQOi2k1Vwlb6UuUuBUREenlSis8eBqaGBFlI9BqJSYshEGfr2Lq4jvNMdsHRnHn2bNYccTJXF5p4SwfxisiIiIi0llbKj24ahpYs72KD9eWs9ntoenLr3g+dz7jytab49bExJGd+lsaTzyJkUYQw3wXssghp8StiIhILxcXbcMWFEB5dR0xYSGUV9dRMXY8rotSiXoxj7zjUrj7zOvZNSCMsJBAPlizg+JSl3kOrkh/9L///Y/ly5eTn59PRUUFbrcbALvdTlJSEgkJCVx22WWMHz/et4GKiIgIL63exKtfbGZnbSMbXR4GhYUwdvBASkKCGeXaAkCjxcpjJ6XxyCmXMfawGI4ODyFqYJCPIxc5tJS4FRER6aX2LEZ2bZyVf2xoYl1ZDQFWC+ccO4Soax/jk7Mu4a9lMUQPCGJEUAChwQFscnkorfAocSv90hNPPMGCBQsASEhIYM6cOURHR2O32wFwOp243W6WL19OVlYW06ZNIzs7WwlcERERH3lp9UbueeVbPI1NBFgs7KpvYkd1Le5d9USNGcMDZ1zJRV+sYO75v+aboWMIDw1k9KCBXDh+uI5FkD5PiVsREZFeqKUYWXV1Ldd8lEv6u//GdtNdZMck0uQ1+GBNOQsjbUy+4Bwin1uN1zAIDW7elWsLCiAuWotY6X9uuOEGCgoKyMnJITk5ud0xLe2zZ88GIC8vj0svvZR7772Xiy++uMdiFRERkebjEf687GvKaxqx1ddyzaoXWHzCxdQHh7J9Zy276hux/OwKvrzoSoIDAjg9NJgzjhpM8rjBStpKv6DErYiIiA/tuau2ZYdsSzGyWOd3PPzifRy7tQSAaTl/5T+/fQrrsGHNBcoKNjJ5zCDSkkaSW7CRTS4PtqAA0pJGaret9DsrVqwgMTGRxx9/vFPzUlNTSU1NZfr06UrcioiI9LA7/vcl5TWNnPzjFyx44yEOd28lvG4X88+8DoCdtY0knzKKixNG4qppIGpgkBK20q8ocSsiIuIjLbtqPQ1NZsJ11tSxbNrq5vJXn+Da95cQ5G0CmivnLjluGt6BEQT/VKCs5UiEWVPHMnnMoDYJYJH+JDk5eZ+7bDti6dKl3RiNiIiI7E9xqYvXv9xC8TcbuDv/Ka5Y/brZ93+rX+fJU1IJsg+h0Wtw7HA7wyJtSthKv6TErYiIiA+07Ko1MBgRZTN30E7buZ4zf3sLoWu+N8f+MOhw5p1/K0VDjySmwcLhXm+bIxHGx0UpYSsiIiIivdqWSg8575Tw0upNTPzmU15+/RFG7Cwz+z8deQyZ596KO8xOjAFHDAlj7NAwH0Ys4ltK3IqIiPhAaYUHT0MTI6JsBFqtDAs2OHfpQuI/eQGr1wtAgzWAx06eTs7kGQTZQoi0WAgKsOhIBJFOeOKJJygpKcHtdrfpe+yxx3o+IBERkX5mS6UHV00Da7ZXsax4C5+vdvK7/CdI+yrfHFMTFMqCM67hXxPPIzgwgEhbEOOGhXPN5NHaaSv9mhK3IiIiPhAXbcMW1FxMLCYshIv++whXfvqi2b/9iGPJveEPPFtjJ8RrEGkLIi1ppI5EEOmE6dOnk5eXR0JCAg6Hw9fhiIiI9CtbKj2s+GY7b3y9he07a6mobiB5zSe8/r+/M7jGZY57//AJzDv3FrZGDWFYeAiJh0dz4ugYko9WATIRJW5FREQOofaKj0Hz0QYtRcW+37qTv5+QxnlfrCSs3sPi5Kt4Yepl3J+ayKnQZr4StiIdk5eXR2FhIRMnTvR1KCIiIv3K+2vKWLJqA29/t51d9V6Mn9qjNjjNpG1V8ADmJ1/PkuOm4RgcxvzTHRwz3K4CZCJ7UOJWRETkENlX8TEAysqYNXUsRw4NZ3buF1QMiOTXF85mc2QsmwbHEd5oUFrh4YLxw5WoFTlIDoeDMWPG+DoMERGRfmVLpYclqzbw+QYXNfXeVn2LT7iY877/gO0Do7jj7JsoCx9E5IBAbkkey88njPBRxCK9l9XXAYiIiPRFexcfMzDILdjIV1864eqr4eijoayMnbWN1NQ3AvDB6Imsix5JbaOBYWAWHhORg5OTk8P111/P22+/TVVVla/DERER6RdWfLOd938oo2HjFi76+u1WfU3WAK6ccTe3XPYnqqIHc8zwCP70s2OUtBXZB+24FREROQT2Lj4WExbC2A/eYkzWY1D+U+XcW2+l+tYFWLAQGgj1TQben54jmxhn105bkW6wfPly8vLy2u1ramrq4WhERET6ruJSF19srOTZj9cxbdWb3LliMWH1HpzRI/hi2BHmOGuUnYnDIwgLCeSmqWO05hXZDyVuRUREDoG4aBsWC/xYvoux3mpuyXuAM758b/eAyEiYNo3jRoQTaQukuq6JAVaDhiaDgSEB3Jysx7tFuiojI4OUlBQyMjKIjo72dTgiIiJ9zpZKD66aBpYVb+SNr7YRunkjd7z0AKevKzLHzHn3aa647B7zdWx4CCOjBnChjgQTOSAlbkVERA6BD9fuwFPXyNTCfP6Qv4io2p27O3/2M3jsMRg+nPHA1aeM4r+fbWBXfRNRAwO4/ITDtIgV6QYVFRU88cQTRERE+DoUERGRPuel1Zt49YvN7Kiu57vNbi5f/Sa3L3+CAfUec8zzx0zlL8kzAbAFWTlqaDi/STmSsUPDVIBMpAOUuBUREekmxaWun45IaOTt/M955Pn7OfX7T83+xugYAh99BGbMAIvFbJ81dSyTxwyitMJDXLRNSVuRbjJ9+nQKCwuZOnWqr0MRERHpUx7K/55/frSeJq/B4O0befLVhzh5w5dm/5awGH5/zs28HT8JAxgYbOXk+EFcfcoopoyN9V3gIn5GiVsREZFusPDtNeQWbMTT0AQNjeQuvJU49zaz/7VjTifw4Yc5a+px7c4fHxelhK1IN4uPjyclJYWEhASSkpKw2+2t+ufPn++bwERERPzUlkoPv3/hC975fgdGUxPXFL7C7PeewdZYZ4757/izyT7zl3gjIogKsBIXZSM16TCSxw3WLluRTlLiVkREpIuKS13kFmzEwGBElI31O2q4f/L/8fdX72d7WDR3njWLFUecxPzwSF+HKtKvrFq1iuTkZABKSkpa9Vn22PUuIiIiB/b+mjJ+/78v+NFVC0CgYXDJ1yvNpG1p5BDmnnMLH42aQMq4WK48eRQYFh2LINIFStyKiIgchJZjEeKibZSWVWPUVBMzJJpAq5XI0CBeOGYq0bU7efG4ZHbawggNDMAWpP/tivSkpUuX+joEERERv7el0sOabTvJeu07M2kL0BgQyJxzf8ULz97Gfyacy72nXUVDqI0YWxA3nzlWT5OJdAP9C1JERKSDWpK1n67bwQdryvE0NHFkxUb+suzv/C5sMH+4NJMBQQFUehoItFp48fRUIm1BBNU3YQsKIC5aOw1ERERExH88/aGTvMJNlFXXEbP2W460WPk+dpTZ/80QB6enP8HWiEEADAgMIC1ppJK2It1EiVsREZEOaDnDttLTQJWnAXugwW++WEbaq/8guKmBw4CljsmsiJ9EgAVG2EOxWq3s+ilpqwWsiG+tWLGCRYsWsWTJEl+HIiIi0qttqfTgqmngifdLePHzzQQ0NXDzR0uZ9clS1gw6jJ9d9XcaA3ank1qStqNiBnDtKYdz9WSHr0IX6XMOOnH7v//9j+XLl5Ofn09FRQVutxsAu91OUlISCQkJXHbZZYwfP767YhUREekxex6FAJiFxwKscOTWEu59/UGO3uY0x/8YMwJrtJ3Rgwawq74Jq9XKrKnx2IICiYu2KWkr4mNut7vNObciIiLS2vtrylhWvJkvNrr5bms1x2/5gezXHuSoHT8CcPT2dfxi9es8k3ihOccCnHfcEH5/wTE6y1akm3U6cfvEE0+wYMECABISEpgzZw7R0dFmlV6n04nb7Wb58uVkZWUxbdo0srOzlcAVERG/0bK71tPQvFv2uBGRlO2sw6itZdaHz5HxcS6BhheAJouVf0++lMfOuJLhw6OJtVpp9HrZ5PJgCwrkgvHDffxpRATg0ksv5dJLL/V1GCIiIr3SlkoPb365lf+u+hEMC5u3lDP3vX8zc9WLBPy07m2wBrDwpOk8N/4cc16gBa6dPIo7LjjGV6GL9GmdStzecMMNFBQUkJOTY1bo3VtL++zZswHIy8vj0ksv5d577+Xiiy/uYrgiIiKHVnGpi2c/2UBjk5dBYcF4Gpp494ftjF33NdmvP8jY8lJz7JrBo7hvxhxiz5xM6JpyyqvriAkLoby6TmfaioiIiIhfeGn1Rh5asZaSshoAkjZ+zUuvPYjDtdkc8+WQeOac9yu+Hdx8DEJIANgHBHNJwggyzz3aJ3GL9AcdTtyuWLGCxMREHn/88U59g9TUVFJTU5k+fboStyIi0us98b6TbVW1WC1QVdtAsNWC48fveP5fs7FiAM27DXImz8D1q99y4wmjGB8XZe7Sbd5pqzNtRXxhzJgxWCyWDo21WCz88MMPhzgiERGR3u2l1Zu459Vv2b6zngH1Hma/9wxXF75irnvrAgJ54NT/Y9EJl9BkDcAKRA4I5PpTHZw6dpDWuyKHWIcTt8nJyfvcZdsRS5cuPei5IiIiPaG41EXBjy4sNJ/V1eQ12Nlo8MXQsXwweiKnrSvii6FjueeS29k+6gge+ClpCzBr6lgmjxlknourRaxIz8vMzDzgGLfbTU5ODk6n84BjRURE+qKtlR42Vuzi/dJSHn2nhO076wEYXbGJK4teNZO2RcOPZPa5v6ZkUBwAARYYHhnK5ScexqypY30Wv0h/ctDFyURERPqa0goPhgFxNgubag0am4/zwm4L4sG02/moYAVPJP6cqAgb17azo3Z8XJQStiI+NHPmzH32VVVV8de//pXs7GzsdnunnyLrjKKiIvLz8wFYtWoVixcvNutBFBUVAc21IlpqQyQkJADNtSLy8vJwOBw4nU7S09Nb1ZHYV5+IiEhHvb+mjKWrfmTH9jJWbW2ikd1Pqnw9dAyLTryEawuWce9pV/HPxAvAGkCwFU4ZE0Nq4mHaoCDSwzqVuNXjZyIi0pfFRds4vaSAX+Xdz7yzb+ZdRyIA9V4vjDqcFyMvJ8prMOecI0lLOszH0YpIR6xfv56srCwWLVqEw+EgNzf3kBcpy8/PZ86cOQBkZ2eTnJxMYWEhADk5OSxatAiAlJQUcnNzzXlpaWnmOKfTycyZM83+/fWJiIh0xJZKD4vfK+HTkh2MiTQ44ccv+WzkMTQG7E4NPTj5Fzx3/NlsiBrGwCArx8dFcs6xw7j6lNE+jFyk/+pU4laPn4mISJ9VUUHcr2eR9b8lAPz1jUc4+7pHqQ4ZQF2Dl3VlNUTagkhLGqmkrYgfWL16NfPnzyc3N5eEhATeeuutLh371VFFRUXMnz/fTNympqaSmZmJ0+nE4XCQmJiIy+UCaLVjdu+1s8PhMHft7q9PRESkI7ZUesj/ZhsfrS0nfNdObntjMcmfv032aVex8OTp5ri6wGA2RA0jELjnkuM40RHDsEgV3BXxlU4lbnvL42ciIiLd6vnn2TXzBqJdO8wmZ/QIbA21VIcMIDjIys8nDOeiiSP0aJhIL7d69WrmzJlDfn4+KSkpFBYWMnHixB77/gkJCSxevNh87Xa7AYiOjjbb2jviID8/v9WYljlFRUUUFBTss6/lmIUWdXV11NXVma+rqqoA8Hq9eL3eg/pM/sDr9WIYRp/+jD1F17J76Xp2H13Lg7O10sOzH6/n7e+3s3ZbDWd9/yF3LX+c2Bo3AL/68D+8Mm4KG+1DzTkW4PKTDuNn44cD6JofgH42u09/uZad+XxdPuPWF4+fiYiIdEVxqYvSCg+jG6sYcecc7K8vY8BPfVUhA/nLmdeRe9w0+Ol4oACrRUlbET8wadIkioqKSE1Nxel0MmrUKJ/EkZqaav55yZIlpKSkmMlat9tNXl4e0Hz+bUZGBg6Hw0zw7q2iomK/fXubP38+d911V5v2srIyamtrO/dB/IjX66WyshLDMLBarb4Ox6/pWnYvXc/uo2vZeZ86y8ktKMXlaSBmp4vfv5bDqV9+ZPZXhw5k8QXXEz5qMOMszQXJQgKtnBIfwxUnDWb79u2+Ct2v6Gez+/SXa7lz584Ojz3oxK2vHj8TERHpqJYEbVx08+NdpRUePl23gw9+2MEZq95kyisLiaytNscvH3Mid5w1i+3hMa3e59QxMUraiviBwsJC7HY7TqeTtLS0A45ftWrVIY2nJUnbcjYt0KqomMPhYNq0aZSUlOz3PTrTN2/ePG677TbzdVVVFXFxccTGxhIREdHpz+AvvF4vFouF2NjYPv0PvZ6ga9m9dD27j65lx22t9PDYO2v576eleA2Dn337Ln/IX0S0Z3ey6OOjT+T2M25ga/ggcDe3nTommtvOOorjR9p9Ere/0s9m9+kv1zI0NLTDYzuduPX142ciIiIdceeLX/DGV9uoa2yiscnAaoHgwACqPA3M/ug/ZLz3H3NsuS2CP6VksGzcaeYuW2h+TGz8yAgeu2KSDz6BiHRWVlaWr0NoJTMzk+XLl7c5y7bleAOHw4HT6cTpdGK329vsoK2oqMBut++3b28hISGEhIS0abdarX36H0DQXBy5P3zOnqBr2b10PbuPruWBvb+mjD++9CXOHR6G7CznnjcfJaVk9y8qy20R/GnaDThPnsxWtxUvFqzAr1PGcGvKkb4L3M/pZ7P79Idr2ZnP1qnEbW95/ExERGR/7nzxS/77aSmNRuv2cAy8Biw5NpkrP/kfA+preWnc6cw/O4NyWwT8dNRQWIiVI4eEc9kJh6kQmYgfmT17tq9DMGVnZ5OZmdnqGASn00lycrJZnKxFdHQ0KSkp5OTktHmfpKQkHA7HPvtERERa5BZs4K+vfIurthGAKz9/rVXSdtlRU/jjtBtwD4hgnMXAAhw9LJyM0+P5+YQRPopaRPanU4nb3vb4mYiIyN6KS1288dVWmvZI2gZ4m2iyBrCroXnn7fqIIdx34S1sMEJZPvZEAi1gtYAViAgN5I4LxilhKyIHLS8vj4SEBDNpu3TpUtLT03E4HK12Befn55Oammruqt2T0+kkKSnpgH0iIiJbKj386r9FfLbe3ar94ZNncN53HxBW7+H3Z83irSNOBsCKwVFDBpJ9RQLRYSEMi7T5IGoR6YhOJW572+NnIiIieyut8NDkbU7QGk1NXFu4jBnFb3HRVfdRG2wjOMhKQ6OXF45PwWsYhNQ30uAFrxcibIGkn+ZQ0lakD3niiScoKSlp9zzYxx57rNu/X3sbHOx2u3m2bVJSEtnZ2djtdkpKSsjNzTXH5ebmkpmZyaRJk1i1alWH+0REpP+659Wv+ceH62lq8nLM9nV8PSTe7KsLCiHj4jvYFh5DVWgYgHkswvRj7QweHNGnH0cX6Qs6lbjtTY+fiYiI7KmlEJmnoZFIWxAjt6zjTy//nYTN3wMw592n+fNZN2AfEETKuCGcODrGLFr2wZpywODUsYNUhEykD5k+fXqr3a89weFwYBjGPvsTEhLMM27bm9uyUSI1NbXDfSIi0v9sqfQw85+r+GrLTkZVbCLr9YcYv3UN5177MOuidx97sCb2cPPPEaEB/OWiY7nw+OFs377dF2GLSCd1OHFbVVXVpUq0XZ0vIiKyt5Zk7afryvlgzQ48DU2EWQ1mffo8P1/2FMFNDeZYW0gQFxw7lOtOc7RJzipZK9I35eXlqZCuiIj0OS+t3sjc57+grq6Rmate4vYP/kVoYz0AC15/iBm/WNCq4C7AsIhg/nfTqQyLtOH1en0RtogchA4nbktKSliwYAFPPPEE4eHhnfomn3/+Oenp6TrzVkREus3Ct9eQW7CRSk8DVZ4GwkIDSanbTMbTf2Xs5rXmuJ2HOfjirvs4Kvl0ZihBK9KvOBwOxowZ4+swREREusWWSg//K9zEvW99z9iyH7n39QeZsOUHs/9H+1AeOPX/2iRtkw6PJO/GU3s6XBHpBh1O3E6cOJGZM2dy+OGHk5GRwWWXXcb48eP3O2flypUsWLCAdevWUVBQ0OVgRUREoHmnbW7BRgwM7LYgaqpqmPnuM2R8mkfgTzsIvFYr1t/+lvA//YnJNhVcEOmPcnJyuP7667nhhhtITEzU018iIuKXtlR6ePrD9Tz32Qaqa2q5+dM8bv3wOYK9jQB4sfBU0s+4b8qVeIJDAbAAkw63k3FGPMnjhvowehHpik6dcZuSkkJBQQHZ2dlMnDiRqKgoHA4HDoeD6OhoACoqKnA6nRQVFWG325k7d67OxhURkW5VWuGh0tOAfUAQWyqqyf33HI7funuX7Xexo8hOm03SOdOYpaStSL+2fPly8vLy2u1ramrq4WhEREQ65/01Zfz6v0WU72rkmG0lZL/2IMdsd5r9a6NHMue8X1E0YpzZdpg9lCU3nsKwSK2DRfxdpxK30PzI2eOPP05WVharVq0iPz8fp9NJSUkJdrud6Ohopk+fzqJFi3SemIiIHBKfrttBlaeBil0NgJUXj57K8VvXUm8N5NGTp/PvqZcRFjGQdQUbmTxGBcdE+quMjAxSUlLIyMgwNxmIiIj4i9yCDczO+xIAq7eJh16+l/iKjQA0WqzknHgpD02+nLrAYHPO5SeMZP4l+386WkT8R6cTty0iIyNJSUkhJSWlO+MRERFpV0shMk9DIx/8sIOwkACqapvwAv9MvID4ilKeSbiA72NHMSQ0hJiwEDa5PJRWeJS4FemnKioqeOKJJ3REgoiI+JUtlR6ueuIT1pTtMtu81gDuOHsWz/33d3wbO4rZ5/2ar4buPsc9yAK/v2AcV092+CJkETlEDjpxKyIi0lNaCpFZd1Zx0+uLuCYgmJev/i1b3B42V9bhtQbwx3NuptFoHm8LslBeXYctKIC4aD0iJtJfTZ8+ncLCQqZOnerrUERERDrknle+ZvEH6wltqCW2bhdlYbufGPnksOO5NvWPfDBqAg0BQWZ7WIiVey4+np9PGOGLkEXkEFLiVkREeo2WXbVx0TZzl2xLIbITv/2Y2S88QIy7DC8WPhh/BkxIory6jromaDKaizAEB0Bto4EtyEpa0kjtthXpx+Lj40lJSSEhIYGkpCTsdnur/vnz5/smMBERkb1sqfQw4/GP2OCq5YTSr8h6/UG2hcVw+eV/xbBYzXFvx09qNW/8iHAev2qSzrMV6aOUuBURkV6hZVetp6EJiwWSDo/i+ikOVhWs5fZ/3c0FX6w0x9YGhRDr2saXLg/D7QM4cmgYwyJtHD08giOGhLdJ/opI/7Rq1SqSk5MBKCkpadVnsVh8EZKIiEgrWyo9PP3ROh5/dx0D63bx53ef5qrPXwVgtGsL//f56/wr4fw282IHBrIgdTzJ44b2dMgi0oOUuBUREZ9r2VXraWiitqGRqtomXv1yK9bnn+fONx9jUI3bHPvZEUncf+ltXHrJZE4JCmw3QauErYgALF261NchiIiI7NNLqzfx52VfU17TwJR1Rcx/42FGVpWZ/QUjxvHR4a0LjQ2LCOG2s44gLemwng5XRHxAiVsREfG50goPm9y7qG9qfh1b7eLPyx/j3B8+MsdUhgzknuTreX/y+Vx58igtVkWklaqqqi4VIevqfBERkc6Y8diHfPqjm4jaarJWPsmML5ebfbuCQsg+7WqeSTgfrzXAbH/y6kTtsBXpZ6wHHrJ/q1evZu7cuZx99tlm29/+9jdWr17d1bcWEZF+4sEVP5hJ27FlP7L8yRtbJW2Xjz2J82Yu5LXEc7jipFHMmjrWR5GKSG9VUlLCjBkz2LlzZ6fnfv755+aRCiIiIofSim+3Mmruq3z6o5uUNZ/y1pOzWiVtPzz8eM7+5aP8M+lnrZK2c84+QklbkX6oS4nbxYsXk5ycTHx8PAUFBWb76NGjyczM7HJwIiLS9+UWbKCkrMZ87YwZyfqoYQDsGBDJzT+bwy2pd7AlLAZbcACnjh3kq1BFpBebOHEiM2fO5PDDD2fevHkUFxcfcM7KlSs566yzmD59Ovn5+T0QpYiI9Gc3/7uQ654uBOCIsvU88b+/MLS6AoCdwTbmnn0z/zfjHkrtuxO0A4MsvHTTKdq4INJPdemohOzsbAoLCxk1ahRz58412y+99FLS09O7HJyIiPR932yuwmvsft1kDWDOub8i49PnufvM63ENiMTqBasFzjl2iM6vFZF9SklJoaCggOzsbCZOnEhUVBQOhwOHw0F0dDQAFRUVOJ1OioqKsNvtzJ07l9mzZ/s4chER6euO+v2r1Dbufv1D7Cj+M/5sflH8JisdSdxx9k1siYhtNeeMI2L45y9P6uFIRaQ36VLitry8nJiYmDbt69atwzCMdmaIiIjsYe1aLp5zDZ+f8AtWDz/SbP4hdhS3X3A7AKGBFsJDgzjn2KH85aLjfBWpiPgJh8PB448/TlZWFqtWrSI/Px+n00lJSQl2u53o6GimT5/OokWLmDhxoq/DFRGRPmxLpYeH8n/gv6s2Er2rklpbBFgsZv/8qb/kk8OO5+Vxp7VqtwJ//NnRXH3KaB9ELSK9SZcSt2lpaaSlpbWq2FtVVUVGRoZ23IqIiKm41EVphYe4aBvj46IoXr+DwEceJv6hLI5vqCN7RxkXXPMg9YFBreZZgGnjhnL9aaO101ZEOiUyMpKUlBRSUlJ8HYqIiPRD768p48onPwPD4JKvV/KHFYtZcPo1PDfhHHPMzpCBvHz06a3mnXnUIO65+HiGRdp6OmQR6YW6lLjNyckhLS0Nu90OwKRJkygqKiI9PZ0FCxZ0R3wiIuLHiktdPPn+Olb96MIwDGxBAZy4awtXPXU3R2/41hxna6xjRNV21kWPaDU/PDRASVsRERER8SvX/eMzVnxfxrCqMv765iNMdTafa3vH20/yriOxzZEIAGMGD+C+tAla94pIK11K3ALk5uaybt06ioqKAEhISGD0aG3nFxHp7x5/Zy3PfrqBbVV1WIARAwO47K1/c+3b/yK4qfmALy8Wnk68gHtPu4pdwbt3FViAqAGBXD/FocWriIiIiPiFxe+VcM9r34FhcHnxm/zu7ScJr/eY/fljTsQTFNJm3l0/G8fVpzh6MlQR8RNdStyuXLkSt9vNJZdc0ipZO2/ePGbMmMGECRO6Gp+IiPihdWXV5BVupKHJAAOO2baWrNceZNz2deaYDYNG8puzb6Vw5NFY9ph7wig7Pxs/kuNGRihpKyIiIiJ+Ydydr+JpgDj3Vha88RCTf/zC7NsaFs0dZ9/EijEntpozNDyYF24+VcciiMg+dSlxm5mZSVZWVpv2pKQkMjMzefPNNzv0PkVFRcycOZPCwsI27dC8i9fpdOJ2u0lISADA6XSSl5eHw+HA6XSSnp5uHtkgIiI9r+Uc25FRoXyzZSeumnq8BsxY/QZ/eWshgYYXgEaLlf9MSeP1S9L5YpsHvGDQvMv2mGHhLL1hsk8/h4iIiIhIR2yp9PCps5xfLynG6m3i2qJXmP3eMwxoqDPHPHf8Wfx16i+pCg1rNfe2aWO4NfnIvd9SRKSVLiVuCwsLSUpKatOekpLC9OnTO/QeLcnXliTtnnJycli0aJH5nrm5uWZfWlqameh1Op3MnDmzVb+IiPSchW+vIbdgI56GJuobGnGEN1FVa9CEhc+HH4lhsYAB38aO4olrfkdR7Bg8NU2MjBrA4TE2Im3BHDsikpmnxfv6o4iIiIiIHND7a8q4/p+fUdfU/PqGT59nznvPmP0bIwYz95xb+GD0xFbz7KEBvP6b07XLVkQ6pEuJW4fDwbp16xg/fnyr9oqKig6fc5uamrrPvsTERFwuF0Cr3bROp7NNHPn5+R2MWkREulNuwQYWvefEMMAWbKXK00hdqMHA4ACq6g2+Gzyah079BTarwT+nXMYfLp3IVdE2Sis8xEXbdByCiBxSq1ev5rnnnuPzzz83nwb729/+RkpKio71EhGRg5JbsIHZeV+2avvXxPO4uugVhlRX8HTC+WSfdjU1IQNajXny6kSSxw3tyVBFxM91KXGbnp7O9ddfT15eHocffjgA69evZ/r06aSlpXVLgO0df5Cfn090dHSrtujoaIqKisyjFPZWV1dHXd3uxxWqqqoA8Hq9eL3eDsfj9XoxDKNTc8T3dN/8k+5b7/f4O2t5ZMUaapsMAI77rpi7C1/mkWvm4PWGEAh4gf+dcyXBgVbCsDAyKpTjRkRy3IhIAN3fXkJ/3/xTX7tv3f05Fi9ezNy5c1mwYAGLFy8220ePHt2pY71ERERaHPX7V6lthAH1nlbFdatCw7j9vN9QHxjEZ3HHtpozMS6CF26a0tOhikgf0KXE7Zw5cygpKWH06NFERTXvmHK73aSnpzN//vwuB+d2u8nLywNg1apVZGRk4HA4cLvd7Y6vqKjY53vNnz+fu+66q017WVkZtbW1HY7J6/VSWVmJYRhYrdYOzxPf0n3zT7pvvdu6smryi35gdITBgNoarnvtH5zz2VsA1H70PDmnXU5LCiY8pJEBwQGcOmYQQ4Pr2b59u+8Cl3bp75t/6mv3befOnd36ftnZ2RQWFjJq1Cjmzp1rtl966aWkp6d36/cSEZG+bcW3W7nu6UKCmhr41ce5XPn5q5x3zUNsD48xx+x9LALASzedoifMROSgdSlxC83n0GZnZ5tHFSQkJHT4mIQD2bPgmMPhYNq0aZSUlOxz/L4SugDz5s3jtttuM19XVVURFxdHbGwsERERHY7J6/VisViIjY3tE/9A6i903/yT7lvv88VGt3nEwcJPy1i9A85cu4q/vLmQYdXl5rgRP3zDd8d6MSwBDAgOICMpnsljB3H8SLvvgpf90t83/9TX7ltoaGi3vl95eTkxMTFt2tetW4dhGN36vUREpG/a81iEY7eu5d7XHmBc2XoA7nnrUWZecidYLG3mhQbCd3ef35Ohikgf1KXE7cqVKznzzDOJjIzk0ksv7a6YTE6n0zz6wOFw4HQ6cTqd2O32NrtrKyoq2j1WoUVISAghISFt2q1Wa6f/oWOxWA5qnviW7pt/0n3rPfYsQGaxWDDKyrjvzRwu/uYdc0x1sI2sM65h9RlnY9kZwHD7AOoavRw+KIwJh0Xv+82lV9DfN//Ul+5bd3+GtLQ00tLSWLp0qdlWVVVFRkaGdtyKiMgBnbogn43uOkIa6/nVh/8h/dP/EWg0P1PWaLHyXexorIYXryWg1byZU0Zxx/nH+CJkEeljurQ6Tk9P54UXXuiuWFopKioiOTm5TXt0dDQpKSntzklKSjoksYiI9HfFpS5yCzZiYBAVGshJBStYlnNjq6Ttu6MTOOu6R/n3xPPAaiU2PASLBWxBAcRFq2quiPS8nJwcwsPDsdvtuFwuJk2aRFRUFPHx8SxYsMDX4YmISC9VXOpi1NxX2eiuI2Hjt7z2j1uZ9UmembT9erCDn1/9d+477Uq81t1J29ExoXw870wlbUWk23T5jNs5c+aQkpJCeHh4l4Nxu92tjkbIysoy+/Lz80lNTcVut7fZWet0OklKStrvjlsRETl4H6zZQUVNPRhebl86nwu/e9/sqwwZyJ+T03n+2DMJCbRw5KAB2APr2LETLFhISxqpc71ExGdyc3NxOp18/vnnQPce6yUiIn3PlAX5lLrrsNXX8tv3n+Xagpex0ny8Tl1AIA+dcjk5J15KY0DrdMpt08Zya/IRvghZRPqwLiVuLRYLkZGRjBo1ipSUFBwOR6v+jhQoy8/PZ/ny5eb4SZMmmQnapKQksrOzsdvtlJSUkJuba87Lzc0lMzOTSZMmsWrVqlZ9IiLSNcWlLvMs2w/X7uCpD9dRWdsIwPqo4ea4N444mT9Mu5Fd0bGcepid2WcfyXEjIvn0ayc7mmwcFjNASVsR8TmHw9FmnSoiIrKnxe+VcM9r3zW/MAyeXXonSZu+NftXDzuC2ef+ijWxh7eaZw8N4PXfnM6wSD1hJiLdr0uJ2+XLlxMdHU10dDQul4vCwkKzz9LO4dztSUlJISUlpdXu2hYJCQnmGbd723NHbmpq6kFELyIieysudfHE+04KfnRhGM3/LXfV1FHfuLuIz8OnXMakjV/zTMIFvH7kZEKDA7j5jHhuOnMs0FwsaXRsGCcOHtwnztwUEf9ltVr3uSZ1OBysWbOmhyMSEZHeaMzcV2ncs8FiYfGki0na9C21gcH8bcoVPJX081bHIgDcNm0MtyYf2aOxikj/0qXE7Z6FHkRExL8tfHsNT32wnh019ViBYeFBnPfhy3g9tTx1wsXmuPrAIC67fD5YLFgB+4BgTh07yGdxi4jsy56bClqUl5czd+5cbrjhBh9EJCIivcl9b37Hw2+XABDY1Njq+IM3jzyFv025gleOmsL66BGt5h01dCD/uPZE7bIVkUOuS4nbFitXrjSPOzjhhBO4+OKLDzBDRER6k9yCDTyyci2ehuaCC4dVbCLrPw9zYulX1AUE8sHoBL7f87Gwn3awDQixcuVJh+k4BBHplSZOnNhu+9KlS7nxxhu5/vrrezgiERHpDbZUejh5/koAIj07uXPlEwys93DjRfPMdS7AI6dc1mbuSzedorWviPSYLiduzzrrLAoKCkhKSgKaq/fOnz+fzz77rMvBiYjIodVyNEL+t9vwNBhYvU1cv+olbv/gX4Q21gMQ0tTI6c4Cfog9nJYDE8KCA5gYZ+e35xyphauI+B2Hw0FBQYGvwxARER+Y979i/vvZRgDO/uEj7n5rIbE1bgDO+/5DXjvq1HbnnTTaznMZk3sqTBERoIuJ2xtvvBG73U5FRUWr9rS0NGbNmsXChQu7FJyIiBw6C99ew7OfbGBLZS0AY8t+5N7XH2TClh/MMaWRQ5h7zi18NGoCA4MDCA0K4JT4GK6bMloJWxHp9ebNm9due1FRUQ9HIiIivrbnLtuYGjd35edwwXfvm/1VIQMJ9Da1O1e7bEXEV7p8xu26devatC9evJj4+HglbkVEeqniUhfPfvIj7l31BDY1cuMnudzy0RKCvc1lGbxYeDrxAu497So8wTYGhASQljiSiyaO0KJVRPxGe2fcQvOO2wULFvRwNCIi4itXPfEx762tAMPgwm/f40/5OcR4qsz+5WNO4I6zbmJ7eEyrebdMjef2s4/q6XBFRExdStxGRUXhcrmIiIho1e5yuTAMYx+zRETEV4pLXZRWeFjy2Qa2VdUxzL2dJ57/M+PK1ptjSqJHMufcWykcebTZFhEapKStiPidt956y9chiIiIDxWXuvj5ox8BMHhnOfe8tZBpaz81+ytsEfwpJYOXx53W6mxbgPULzu/RWEVE2tOlxO2ll15Keno6eXl5hIeHA1BVVcX06dPJyMjolgBFRKR7tByNsNPTQE19EwawY0AkwU3Nu2wbLVZyTryUhyZfTl1gsDkvTAXIRERERMTPJP7lTcprmte5Iyq38/o/biGirsbsf+XIU/njtBsoH2hvNe+CY4fyyBWJPRmqiMg+dSlxm5WVRVpaGna7HYfDAYDT6SQlJYX58+d3S4AiItJ19735HQvfKaHJAAuYRcbqgkKYc+6t3JWfQ+Y5t/D10DHmHFuQhaTDolWATET8ltVqxbLXDqr9aWpq/2xDERHxD1sqPXzqLOfXS4pbtW+KiOWjw4/nnB8+pmygnd9Pm8WbR57SZr522YpIb9OlxC1Abm4uRUVFFBYW4na7SUlJYeLEid0Rm4iIdEFxqYsP1pSzZNWPbHDVYquv5fb3n+W/E86hJCbOHFc48mguvPrvGBar2TZ+RAR/vuhYJWxFxK/l5OSQk5PDvHnzzE0G5eXlzJ07l8suu4zk5GQfRygiIt3l/TVlXPPUZzQZgGG0PvrAYuHOabPYMcDOvaddRaUtvNXc08ZE88z1J/dswCIiHdCpxO28efPa3UmbkJBAQkJCtwUlIiJdc+eLX/J84UZ2NXgBOGX9aha88TCHVW5jwpYfmP6LBXitAeb4PZO2E0aG8+LNU3o8ZhGR7rZo0SJWrlzZph5Dfn4+M2bM4Le//a2PIhMRke604tutXPd0c0HKw12byXr9If6R+LNWu2rLwqL4/dk3tZn78bwzGRZp67FYRUQ6o1OJ2+zsbObNm9dm8Tt27FjWrFnTrYGJiEjntBQee/XLTbz19XaaDAivq+F3K5/k8i92F+g5dlsJ48rW8+2QeCJCA/Fi4PXCyKhQrpviIC3pMB9+ChGR7lNSUsK6desYP358q3aXy0VBQYGPohIRke6ypdLDlAUraTTA6m3i2sJl/Pa9Z7E11hFfsZFPDjuuze7aFrdMjef2s4/q4YhFRDqnU4lbwzDabS8pKemWYERE5OAsfHsNuQUbqfQ04PY04DUgee2n3PPmowytrjDHfRJ3LJnn3sqPUcM5dUwMs88+ktIKD3HRNh2LICJ9TnJyMqmpqeTl5ZnJ2/Xr1zN9+nSSkpJ8HJ2IiBysLZUe5j1fzDs/lAMQv6OUe19/gITN35tjPIEhDN9Z1m7iVmfZioi/6PIZt0Cnij6IiEj3Ki51kVuwEQODoAALkTWV/HHFIi765l1zTHWwjflnXMt/JpyDYbESFmJl9tnNRceUsBWRvio3N5dp06YxceJEoqKa/1vndruZOHEiubm5Po5OREQ6q6Kmjqff+JbH3lsPQGBTI+mf/Y9fffgfQpoaAfBi4enEC7j3tKvYFdz6CISTRtt5LmNyT4ctInLQuiVxKyIivlNa4cHT0ER9YxPjv/yYe197gEG7Ks3+d0Yn8rtzbmJr5GBCAqxEDQziypMOV8JWRPqF5cuXs27dOoqKigBwOBwqpCsi4oc+WLuDh1/5isLtBmDh6G1Osl9/kGO37X4CuCR6BJnn3krByGPazL/rwnFcPdnRgxGLiHRdpxK3FotFu2tFRHqBlvNs46JtfL+1ioqaeuqbDGqCbWbS1h0axl/OnMnzx56JfUAQWeePwxYUqGMRRKTfWLlyJWeeeSajR49m9OjRvg7noDmdTvLy8nA4HDidTtLT07Hb7b4OS0Skx+QWbCAz7wvGRTUnbS/85l3uf/V+grxNADRZrCw+4WL+PvkX1AWFtJo7ZUw02WkTVIBMRPxSp8+4HTVqVLvtMTExrdosFgs7duzoUnAiItLWnS9+yRtfbaXJa7CrvpHaxt3nj38WdyxPJ5zP4GoXf5h2I2VhUVgtcOH44So6JiL9Tnp6Ovfeey8XX3yxr0PpkrS0NAoLm6ulO51OZs6cqaMeRKTfmDx/OZsq67Hu0fZZ3DF4gkIJqqvhu0GHM+e8X/HFsCPazNVZtiLi7zqVuM3KyqK8vPxQxSIiIvtRXOrib29+zwdryzGA4VXbmVn0GtmnX4Vh2b2U/XNyOk3WAPP1WUcP5i8XHeeDiEVEfGvOnDnMmTOHlJQUwsPbryre2zmdzlavHQ4H+fn5PopGRKTnbKn0cPL8le32bQsfxF3J6cRVbuXRk6fTEBDUqv+2aWO4NfnInghTROSQ6lTidvbs2YcqDhER2Y8bnlnFe2t2sKvBi8XwcsXnrzP33X8SVu9hc8Qgnk24wBzbkrQNDoAZkw5T0lZE+i2LxUJkZCSjRo0iJSUFh6P12Ybz58/3UWQdl5+fT3R0dKu26OhoioqKSEhIaDO+rq6Ouro683VVVRUAXq8Xr9d7aIP1Ia/Xi2EYffoz9hRdy+6l63lwrn3qE95fW4EVmFT6Nb/+4N/MungeFgaaO29fOO5Mc7yV3U+gfZA5laGRNl3z/dDPZffS9ew+/eVadubzqTiZiEgvN+2+t1lTtguAURWbyHrjYU4s/crsv7rwFf4z4VwzYRsSYOG844ZyzeTROstWRPq15cuXEx0dTXR0NC6XyzxuAPCbug1ut7vd9oqKinbb58+fz1133dWmvaysjNra2u4MrVfxer1UVlZiGAZWq/XAE2SfdC27l65n51TU1DE77wsAJg7wcM0bz3Dhx68CkPXhU7xwzS1YAO8eidoWKUcN5vITD4e6nWzfvrMnw/Y7+rnsXrqe3ae/XMudOzv+3yglbkVEerEbnlnFmrJdBHib+OWql7j9g38R2lhv9v9n/DnMn3rtHklb+FXKWGZNHeurkEVEeo2lS5f6OoRDZl8J3Xnz5nHbbbeZr6uqqoiLiyM2NpaIiIgeiq7neb1eLBYLsbGxffofej1B17J76Xp23LX/+IT311QAFiavX81f33iYuMrtZn/Mlo1sddXzbXUIXlr/8m3tX8/r4Wj9m34uu5euZ/fpL9cyNDS0w2OVuBUR6YWKS118sKact77ZzhFl68l+/UEmbFlj9m+IHELmubfy8eHjCQmAU0fFMGrQANKS4rTLVkRkLytXrmT58uUAnHDCCX5VrMxut7fZXVtRUYHdbm93fEhICCEhIW3arVZrn/4HEDTvou4Pn7Mn6Fp2L13P/dvzLNvwul38buWTXP7FW2a/JzCE7NOv4tmE8zkyyIoXi5m4nZ4wguzpE3wRtt/Tz2X30vXsPv3hWnbmsylxKyLSSxSXuiit8PBK8SYKN7hx19Rx04fPcctHSwj2NgLgxcI/Ey/k3tOuwhPc/Fu6SaNj+Nf1J/kydBGRXuuss86ioKCApKQkAHJycpg/fz6fffaZjyPrmJSUFHJyctq0t3weERF/9vRHTv748rcAnLn2M+5581GGVe8uiP7xYceRec6tbIga9tM5truPSFi/4PyeDldEpMcpcSsi0gssfHsNz36ygR07a2kwzym3MLS63Ezaro0eyZxzf0XRyHHmvJBAmH22KuaKiLTnxhtvbHfHalpaGrNmzWLhwoU+iqzj9i6o5nQ6SUpK2ueOWxERf1Bc6uLnj35kvv7zW49x1eevmq93BtuYP/WX/Hf82RiW1jvTZpwwkvmXTOipUEVEfEqJWxERHysudbHoPSdVtY1496qzMP+MX3Laus95edxpPDT5cuoCg82+AAtM19EIIiL7tHTpUtatW9emffHixcTHx/tF4hYgNzeXzMxMJk2axKpVq8jNzfV1SCIiB+3iR9/n89KqVm3fDh5t/vmd0Yn87pyb2BwxuM3ce1OP56jRcYc8RhGR3kKJWxERH2k+x3YHH5eU4/Y0krTxa4bsrODVcVPMMdUhA0i5biF1QbvPK7QFWgkLDeScY4fyl4uO80XoIiJ+ISoqCpfL1aYol8vlwjDaViTvrRwOB1lZWQCkpqb6OBoRkYOz51m2e/vv+LOZsq6IFWNO5PljzwRL6+JjJ42O4j8zT2L79u3tzhcR6as6lbi1Wq1Y9voP6L44HA7WrFlz4IEiIv3QwrfXsOg9J5WeRmz1Hv743jNcXfgKNcGhfD7iyFY7DPZM2l578uEkjoomLtqmnbYiIgdw6aWXkp6eTl5eHuHh4QBUVVUxffp0MjIyfBydiEj/kf70Z7z1bRkYBhd98w5Hla1nwRnX7h5gsTDr4t+1O/eun43j6lMceL3edvtFRPqyTiVuCwsLW73Oz89n1apVzJs3z2wzDIP09HRuuOGG7olQRKQPad5lW85TH67D7Wlk8vrVLHjjYeIqtwEQXu/hmoJl/PXM69rMTTrMzh9/fmxPhywi4reysrJIS0vDbrebZ8U6nU5SUlKYP3++j6MTEen79jzLdmjVDu5561GSS1YB8N6oiXw0asI+514ycRizzxnHsEhbT4QqItIrdSpxO3HixFav09PTWbFiRZvHz5YuXcqNN97I9ddf3/UIRUT6iOYCZD9StrOOAbuqWfD2U1z2xVtmvycwhL9NuYJ/JP2szdyjhw4kb9bkngxXRMTv/O1vfyM9Pb3V2jQ3N5eioiIKCwtxu92kpKS0WdOKiEj3Ki51Mff5L/h2azUYBjO+eIs7Vj5JRP0uc8zp64raTdyOiAwhb9ZkJWxFROjiGbeFhYXtnhsWExNDfn5+lwITEekrWs6yfXjlGmobDZLXfso9bz7K0OrdVc4/Puw45p5zCz9GDW81N9oWwLzzjyYt6bCeDltExO/Mnz+f1NTUNmvThIQEEhISfBSViEj/kvX6Nzz2bnNhyJHurSx442FO/bHY7N8WFs3vz5rF8rEntZn70k2n6DgwEZE9dClxm5ycTGpqKnl5eRx++OEArF+/nrS0NJKTk7slQBERf3bni1/wxlfbKK+uJ9yzk6zlj/Pzb981+3cG21hwxrX8Z8I5GBar2T40IpjrTnUw87R4X4QtIuKX/KngmIhIX7Ol0sM1T37C99t3YTG8XFX0KnPefZqBDbXmmKXHpXD3mddTFRrWau7EuAheuGnK3m8pItLvdSlxm5eXR2pqKqNHjyYqqvm3Ym63m4kTJ5KXl9ctAYqI+Ksbnl3FW19vp6WMgmGxcGLpl2b/245Efnf2zWyJiDXbxsTauG/6RO00EBERERG/8fSHTv647FsAIj07Wfy/v3DCxm/M/k3hscw752becyS2matdtiIi+9alxG1kZCTLly9n3bp1FBUVAeBwOHRumIj0Wy3Fx174fCNry2pa9VWFhnHH2Tdx36t/567kdF44ZipYLABEhgbwzHUnatEqItJFn3/+OW63u0NjJ0yYcEhjERHpD866/x1+2L573VsVOhADi/n62YnnkXX6NVSHDGg1b8LICF68WbtsRUT2p0uJW4DVq1fz3HPP8fnnn/Pmm28CzYUhUlJStBgWkX5l4dtrWPSeE7enEQyD1K9W8MHhE9gaMcgcs2LMiUy54Ul2hgw02yJDA3nmuhOUtBUR6Qapqan7PTLBYrFgGAYWi4WmpqYejExEpG9Z8e1Wrnu6sE27YbGSee6tPPbifP6UksGnhx3Xqj/ECu9knqniYyIiHdClxO3ixYuZO3cuCxYsYPHixWb76NGjyczMNBO5IiJ9XXGpi2c/+RG3p5ERlduZ/8bDnLb+c1bET+K6S/9g7qwFWiVt7bZA0k9zKGkrItJN3nrrLRwOh6/DEBHps4pLXVz3j1Xs2NVAYFMjN36Sy2dxx7ZK0K6PHsG51z7cag0M8OTViSSPG9rTIYuI+K0uJW6zs7MpLCxk1KhRZGZmmu2XXnop6enpXQ5ORMQfFJe6ePHzTWx1e7jy89eY+84/zSIMySWrSNz0LYUjjwYgLCSAmAFBjBsWwXEjozh1bIyStiIi3Sg+Pp5Ro0b5OgwRkT4p6/VveOzddQAcs3Ut977+IEdvX8d6+zDO+eXD1AaF7h68R9I2CFiz4PwejlZExP91KXFbXl5OTEwM0PzYWYt169apqq+I9HnFpS6efH8dH5WUE166judef4gTN35t9m8OH8Tvzr7JTNpecWIcaUlxStSKiIiIiF/ZUunh/xZ9jLPcQ0hjPbd89Bw3fJJHoNFchndk5TZO2vAl78RPajP33tTjSEs6rKdDFhHpE7qUuE1LSyMtLY2lS5eabVVVVWRkZGjHrYj0aXe++CW5BaU01Ddy3aoXue2DfxPaWG/2/3vCOcw/45dmEYYJI8O5++LjfRWuiIiIiMhBeWjFD9y/fA0AEzd9R/brDzK2vNTs/zZ2FL8979d8PXRMq3nHD4/g5VtVfExEpCu6lLjNyckhLS0Nu90OwKRJkygqKiI9PZ0FCxZ0R3wiIr1KcamLec9/wTdbqzmibD33vvYg47euMft/tA9l7jm38vHhu5O0xwwL48WbT/NFuCIi/UpWVpaOSRAR6SbFpS7+74mPqa4zCG2o5bfvPcsvC17GSvPTtfXWQB4+ZQaPn5RKQ0BQq7nrdSyCiEi36FLiFiA3N5d169ZRVFQEQEJCAqNHj+5yYCIivc3Ct9dw//IfaGx+IoxRri1m0taLhaeSfsZ9U67EE7z7bK8JI8OVtBUR6SEzZ870dQgiIn3CnS9+ybOfbADg+C0/8NDL9zLKvcXsXz1sLHPO/RU/xI5qNe+oIWG88ZvTezJUEZE+rUuJ26qqKiIiIhg9enSrZO369esBtONBRPqM3IIN3PvmD+x5evdbR5zMsqOmcFTZejLPvZWiEePMPrstkDvOH6fzvERERETEbxSXurjyiU+oqvOabdXBAxi2cwcAtYHB3HfqFTw16ec0WQNazdUuWxGR7telxG1UVBRNTU1t2ktKSsjOzubNN9/sytuLiPhMcamL0goPcdE2HntnLW+vLuXS794n79jkVhVy7zj7JuoCg6kLDDbbzjl6MI9f1bYwg4iIiIhIb3VZzod8ss7dpt0ZM5L7p/wfyWs/I/PcX7EuekSr/uQjY3ny2hN6KEoRkf6lS4lbwzDabU9KSqKgoKArby0i4jML315DbsFGKj0NuHc1kFj6Fa+//hAO12ZqA4N5Zdzuow+qQsPMP9uCrKQmjuQvFx3ni7BFRERERA7K2Hmv0mBARG01N3yax4OnXE5dUIjZv3jSxSw64RIMi7XVPO2yFRE5tA4qcTtmzBgsFgsWi4WxY8e26Xc6nSQkJHQ5OBGRnnbfm9/xz4/XU1PXRGidhz+8+zTXFL1i9v/u7ad484iT2xRgsIcGcscFOhpBRERERPzHim+3ct3ThQCkrPmUe956lCHVFViN/2/v3sOiLvP/jz9nAAFBGDA8H2A8ZEcVITtoBx0yazuDtdt3t9oSs+NubaK1HdzdUqh2t5OFbm1tW7+Sqd3WrAzsZLUVh6RzGaOpqUkyA4qAwMzvD5ePjCByGJgZeD2uy+ti7vtzD++57/ngzZt77tvD0tOvNK5zH7QtwplHJbD8cq2yFRHpbp1K3Obm5uLxeDjzzDNZunRpi3qr1crkyZO7HJyISE8p3eLkxudK+N5ZC8C0jZ+w9PWHGVG107imeNgEFsy+qWXSNjKUzFOtStqKiIiISNA4ZWkBP7jqiN9byV0Fyzn/q3eMuktL17DsxAyvT5c1+e+iGQyNjezJUEVE+qxOJW5nzpwJQHp6OhdffLFPAxIR6WnL3trAI29+x956NzG1e7j9zSe45LN8o74mNJz7Tv0VT035mbHaINwMN9rGAyamjRvIxJFxfopeRERERKT9jFW2Hg8/+3odi/MfZ2BNlVH/pjWF22Zd3yJpe+ZRg1h+uc5xEBHpSV3a43bevHm89NJLXHTRRV7lixYt4pJLLmHSpEldeXoRkW73wJqveeK9jeytd3t9PKzJB6OOZ+FZN7A5bqhXu5XzT1ayVkQkwJjNZkzNDpBsi9VqZcOGDd0ckYhI4Mgr2szilz9nT72HhD0V/OmNZcza8KFR74wYwGJbJv8++nSvw3iPHBTFU1dN1SpbERE/6FLiduHChWRnZ7coT0lJISsrizVr1nTl6UVEutUFj7zL+q27jccXfb7WSNru7hfJvWdcxf+bOMtr4gqwYNZ4JW1FRAJQcXGx1+OCggIKCwtZtGiRUebxeMjMzOSaa67p6fBERPxm2tICtrrqALjgi7dYnP84sXXVRv2r40/mzjPn81OU9xxX2yKIiPhXlxK3xcXFpKSktCi32WzMmTOnK08tItKtrvlHoVfSFuCutPmctPkzPhl2JLfPuo7tMQle9UMGhJH7q1QlbUVEAtTBZyxkZmaydu1aYmJivMpXrlzJ/Pnzufrqq3syPBGRHle6xcn5j37gVTa8cqeRtC3vb+HOtGt4bcI0r2tGWSJ4d+HMHotTRERa16XErdVqZePGjUycONGrvKKigqSkpC4FJiLSXUq3OPnkoy9Jde2gcOSxRnl5dBznXvFXtsYM8lplOyDczJ3nHqPDx0REgkxxcTFOp7NF4nbgwIEUFBT4KSoRkZ5xx78/5ZkPt7Qoz516MWd/8z7fJIzmDzPn4or0/hn58nXaEkxEJFB0KXGbmZnJ1Vdfjd1uZ/To0QBs2rSJOXPmkJGR4ZMARUR8oXSLk8fe+o6N5XuYWPBv8t96grqQMNKuXuY1Wd0aO9j4+ughUSy5eKImriIiQWrmzJmkp6e3mKtmZGQYh+2KiPRGpy5dy2ZXLaOc2zlh6xfYj7MZdQ0hoWRcls3eft5bIIyOj+CdBfrZKCISSLqUuF2wYAFlZWUkJSURF7c/seFyucjMzGTJkiU+CVBEpLPyijZTuMlJ8aZdlP1UwwjXDpa8/gjTv19vXPPb957lrrT5Xu1GWMJ59LIpStiKiAQ5u91Oenp6i7nq5MmTsdvtfo5ORMT3Vrxbxj2vfo3Z3ciVJa9w67v/oF9DPV8lJPLFkLHGdQcnbe9LP06fLhMRCUBdStwC5Obmkp2dzdq1awFITk7WNgki4ne//NuHvF+2C7cHTB43l5esZsE7TxNVX2tc8+KxM/jztP/zajdpRAz/vn56T4crIiLdIDY2lvz8fDZu3EhJSQmwf6uvg/fCFREJdg+s+ZpH3irDA4zZtYXs1x4i5YevjPrfvP8ccy++s0W7iFBYcfkJTB+X0KJORET8r8uJWwCLxcLFF1/si6cSEemyvKLNrPtuFwDWXVtZ+vpDnLD1S6N+24AjuG3W9bw95sDhiiYgRysNRER6nfXr1/P888/zySefsGbNGgDuv/9+bDYbkyZN8m9wIiJdtL2yBtv9b1Fd7yHE3Ujmxy/xm/eeI7yx3rjmqeSfkXPa5S3a3n3uUcw6dihDYyNb1ImISGDoUOJ2/vz5ZGRkMGPGDAAWLVrU5vXaLkFEelLpFidbKmpY+trXhLgbmfvxv/jte896TVz/OWk2S0+/kj3h/Y2ymHATny4+2x8hi4hIN1qxYgULFy5k6dKlrFixwihPSkoiKyvLSOSKiASb7ZU1LHtzA898tP/wsQk7N5Lz2oMcv+M745qNcUNZMPsmr8N4AU6xxvNs5kk9Gq+IiHROhxK3hYWFpKWlGY+Li4sPea2p2YnsIiLdbdlbG3jmw+/ZUVmHB0jYW8X8D/OMpO0my1AWzr6BD0cd79VuTvJwcuZM6vmARUSk2+Xk5FBcXExiYiJZWVlG+cUXX0xmZqYfIxMR6bx1G8r5zfOfsKu6nrDGeq7770qu++9KwtyNADSazKxIvYC/TLuMurBwo11cZCgP/SJZ2yKIiASRDiVui4qKvB6/8cYbPg1GRKQzVrxbxv1vfIvbc6CsPDqOP824mqWvP8yTKefxwPT/ozYswqgPM8Nv08Zz7Rnj/BCxiIj0hF27djFw4EDAe1HBxo0b8Xg8h2omIhKwtlfWMPfpj6ltOFA269v/Gknbb44YxYLZN1E67EivdvNPs/KrkxO1LYKISJDxyR63IiL+ULrFyW0vfcYX23dz3PYNbLYMoTJygFGfd5yN0qHj+DYh0ShLiA5j1jFDyEgZycSRcX6IWkREekpGRgYZGRmsXLnSKKuqqmLevHlacSsiQWftVzu4+ulimv/ZqT4kjFvP/g32ZxeQe8JFPHrSJewLDTPqh8WE8+J1pyhhKyISpDqUuDWbze3eAsFqtbJhw4ZOBSUicjgXLVtHyeYqwuvrWPjes8wt/Df/OuYMfnfObw9cZDJ5JW2jwqDw92f2fLAiIuIXubm5ZGRkYLFYAEhNTaWkpITMzEyWLl3q3+BERNppe2UNFz76Hjuq9jFl65fsCe/PN83muJ8PGcsp1zzJriiLV7vbz57A3FPH9GywIiLiUx1K3B68p21BQQGFhYVeh5R5PB4yMzO55pprfBOhiMhBJt39Oq7aRlK3fE72aw9hdW4DIP3ztdiPm9liH1uAY4ZGs/qm03o6VBER8bO8vDw2btxISUkJAMnJySQlJfk5KhGRw9teWcPi/3zO61/sJHJfLXe++w+uKF7Fl4OtXPDLB2gIOfDrfPOk7diE/tx13rHay1ZEpBfoUOJ28uTJXo8zMzNZu3YtMTExXuUrV65k/vz5XH311V2PUETkf/KKNvOnVV/SULWbxe8+zeUlq426upBQHjzlFxQNP9qrzVlHD2L+GWO1LYKISB9UVVVFTEwMSUlJXsnaTZs2AZCYmOifwEREDuPl9Vu56flSAE76vpTs1x5iVOWPABz7YxkXff4mKye2/CRZxpTh3HzmkdoaQUSkl+jSHrfFxcU4nc4WiduBAwdSUFDQpcBERAA2lu/hxS+qeOK9jVTUNDB9YwlLXn+YEVXlxjXFwyawYPZNlB0x0igbFhPOB7fZ/BGyiIgEiLi4OBobG1uUl5WVkZOTw5o1a/wQlYhI2x4q+IY/F3zHgLpqFr31d35R+rpRVxvaj/um/xL7cTO92vQPg6zZR3P5yfpEgYhIb9KlxO3MmTNJT0/HbrczevRoYP8KhoyMDGbOnHmY1geUlJQwd+7cFlsxOBwO7HY7VqsVh8NBZmamsUdZW3Ui0js8/vZ3rC3ZwCc/eYiurea+tX8j4/MDfxTaGxbO/dN/xVNTfobbHGKUWyJClLQVERE8Hk+r5SkpKRQVFfVwNCIibdteWcMtKz/hgzInp5cVcu+aRxm2+yej/sORx5I1+0a+jxtmlIWZ4eppSfzqlCStshUR6YW6lLi12+2kp6eTlJREXNz+jyG7XC4mT56M3W5v93NYrVZj37HmMjIyjGSuw+Fg7ty55OXlHbZORIJf6RYnj7y5gaQBbsDEmRs+9Eravj/6eBaedSNbLEO82kWEwPq7z+rhaEVEJJCMHTsWk8mEyWRi3LhxLeodDgfJycl+iExEpHUvr/+BRS9+SlhVJQ+8uYKLP3/TqNvTL5Klp1/Js5POwmMyG+UnJFp48OfJStiKiPRiXUrcxsbGkp+f73Xgg9VqbbEXblvS09NbLXc4HF6PrVarsf1CW3UiEvzWfrWDu1/+gtqGAyul7MfO5IIv3uL47Ru494xf8/zEWWAyGfX9QuCCicPJmTPJDxGLiEggyc3NxePxcOaZZ7J06dIW9R2dr4qIdKemrREAJjq3ccEXbxt17yZOZtFZN/BD7CCvNnOnJXL7z47pyTBFRMQPupS4BVi/fj3PP/88n3zyibFP2P3334/NZmPSpEmdft6CggLi4+O9yuLj4ykpKaGoqOiQdYdaPVFXV0ddXZ3xuKqqCgC3243b7W53XG63G4/H06E24n8at8D3YvEW/rP+B4q/r6C23sPE7d+yfdh4THgwA5hMZJ19Ex5M7Ig5Yn8Z+xO7E0fE8OK10wA0xgFA91tw0rgFp942br56HU1bdqWnp3PxxRf75DlFRHztgTVf84//bqKy9sBe3KXDjuRvqRfw89I1/HHG1eQdZzMWK4QC44dEM+/0sZw/abifohYRkZ7UpcTtihUrWLhwIUuXLmXFihVGeVJSEllZWV068MHlcrVaXlFR0WbdoSxZsoTFixe3KC8vL6e2trbdcbndbiorK/F4PJjN5sM3kICgcQts97zyBY5dewFIce/iulWPMfWrj7njqsX8NHISJsCNB+KOACDufwnbyDAzl6aOYtq4BHbu3Omv8OUgut+Ck8YtOPW2cdu9e7dPn2/evHm89NJLXHTRRV7lixYt4pJLLunSIgMRkc7aXlnDGfe9SW29hxllhbxjnUJjs/Ma/jztMp5IOZ+dAwYaZbHhZh7+RQrjhkRrawQRkT6kS4nbnJwciouLSUxMJCsryyi/+OKLyczM7HJwrTlU0vZwdYsWLeLmm282HldVVTFy5EgSEhKIiYlp9/d3u92YTCYSEhJ6xS9IfYXGLXBd9dRHvPNdDXhgzqdvcNtbfyemrhqAeXmPckPio3y1Jxw3B7ZFCDXDJSeMYvF5x/orbGmD7rfgpHELTr1t3CIiInz6fAsXLiQ7O7tFeUpKSpcXGYiIdNT2yhqWvbmBZz7awuDdP/HwG8tI++5j7j39SpZPPfDpgLqwcHaGhRuPxyb0567zjmX6uAR/hC0iIn7UpcTtrl27GDhw/18BTc32mty4ceMhT/FtL4vF0mIFbUVFBRaLpc26QwkPDyc8PLxFudls7vAvOiaTqVPtxL80boHngkfWsX5rFSNcP7Lk9UeY/v16o648ysI9M65iX9j+pG1T4nb6mIH87qwjmTgyzk9RS3vofgtOGrfg1JvGzdevobi4mJSUlBblNpuNOXPm+PR7iYi05b3vfmKB/VN2VNaS8Vk+d7z5hLFY4ZZ1/+TfR5/utcK2SdpRg/jDBcdqla2ISB/VpcRtRkYGGRkZrFy50iirqqpi3rx5XV5xa7PZyM3NbVGekpKC1Wo9ZJ2IBIcxC1fj9ri5vGQ1We88Rf/6A3tQ24+dyR9nXM3uyGiO4sAfgX554kj+eMHx/ghXRESCkNVqZePGjUycONGrvKKigqSkpG75niUlJcahuYWFhaxYscJYXNB0mG9ycjIOhwOXy2Wcz+BwOLDb7VitVhwOB5mZmUa7tupEJPCt+Xw7f1m3g6idO/jH6w9z6qZPjLryKAu/P/PaFknbCUOiuXXWkcw8akhPhysiIgGkS4nb3NxcMjIyjIljamoqJSUlZGZmtnqC7+G4XC7juaxWq1edw+EgJSXFWHF7qDoRCWwLVq5nZckPWHdtJfu1h0j94Uuj7ocBCdw+6zreHrP/jzDm/yVtxw6K4r6MSVplKyIiHZKZmcnVV1+N3W5n9OjRAGzatIk5c+aQkZHRLd+zoKCABQsWAPu3FZs5cybFxcXA/rnz8uXLgf2LFPLy8ox2GRkZxnUOh4O5c+ca9W3ViUjgWvvVDu7+9+fEUs15/32dBe88TfS+GqO+abFCZeQAoywyzMwVJ48ma/bR/ghZREQCTJcStwB5eXls3LjRawVBR1YwFBQUkJ+fD+w/QCw1NZX09HTjubOyskhNTaWwsNBrgtpWnYgEnrVf7eCqp4uNx3e8ucIrafvM5LPJPu0K9oT3N8qmJlq48ZQhTD3G2is+AiwiIj1rwYIFlJWVkZSURFzc/j/+uVwuMjMzWbJkic+/X0lJCUuWLDESt+np6WRlZeFwOLBarUyZMgWn0wngteDA4XB4PY/VajVW7bZVJyKB66qnPubNr8tJdP7AkvyHOG7jF0bdtgFHcNus643FCgBm4OhhA/ht2nitshUREUOXErdvvvkmM2bMICkpqdMfN7PZbNhstlYPjrBarUZ5UzK3PXUiEjhKtzi5Na+Ub3dWe5XfZbuGE5+8nh+j41k4+wY+HOW9BcLMCUew4lep7Ny5syfDFRGRXiY3N5fs7GzWrl0LdHyRQUckJyezYsUK43HTwbnx8fFGWWufECsoKPC6pqlNSUkJRUVFh6xr2mahubq6OurqDmw/VFVVBew/yM7tdnf4NQULt9uNx+Pp1a+xp6gvu+6qpz/inW92YQJ+sf51r6Ttc5POYunpV7InvL/x6bKocDNTRsfz62lWpo09Qn1/CHpv+o760rfUn77TV/qyI6+vS4nbzMxM7rvvPi688MKuPI2I9FLL3tpAzppv6ddQz+jd5XwfN8yo2xw3lCsy7qZ06Dhqw7xPEb9o8jD+fMnkXv/DWkREeobFYuHiiy8+/IU+0HxBwQsvvIDNZjOStS6XC7vdDuzf/3bevHlYrVYjwXuwioqKNutas2TJEhYvXtyivLy8nNra2va/kCDjdruprKzE4/HoUzpdpL7svI3le3juo+/ZuWsvR/1vh681P/sF5zv+i9vt4cGLrufTsRMZCYAHE3D8iBhmTBjMMEsk8VFuLVpog96bvqO+9C31p+/0lb7cvXt3u6/tUuJ2wYIFLFiwAJvNxoABAw7fQET6hNItTl77bDuPv7uRidu+Iee1B4lo2MdZVz5CTb8DSdqPRh3n1W7i8Bj+cMGx2stWREQ6Zf78+WRkZDBjxgwAFi1a1Ob13bFdQpOmJG3T3rSA16FiVquVtLQ0ysrK2nyOjtYtWrSIm2++2XhcVVXFyJEjSUhIICYmpkOvIZi43W5MJhMJCQm9+he9nqC+7Jzr/lnEO59vY/wOB18NG2+Umwnnzl/dwfueBKr7RcL+3VKI6hfC3OlJXD9z/CGeUQ6m96bvqC99S/3pO32lLyMiIg5/0f90KXFrMpmIjY0lMTERm83W4kCx7pwMi0jgKd3i5M6XP6d0axUR9bUseu85ri78NyGe/Stnb1n3DH+aObdFuyEx/cj9ZYoStiIi0iWFhYWkpaUZj5snTQ9mMpna/bzLly9vM8GalpaGzWbzKsvKyiI/P7/FXrZN2xtYrVYcDgcOhwOLxdJiBW1FRYVxKO+h6loTHh5OeHh4i3Kz2dyrfwGC/WPaF15nT1Bfts/2yhqc1fXc9P9KCPv8M/Je/SvWih+Y9etH2Bw31Lhuy6CRVDtNuDExLDaCsYOiuXjKCM6fNNyP0QcnvTd9R33pW+pP3+kLfdmR19alxG1+fj7x8fHEx8fjdDq9JscdmQyLSPC749+f8cyHmwE4YcvnZL/2IEnO7Ub9Z4PH8OJxM1u0mzRiAP++/tQei1NERHqvoqIir8dvvPGGT543MzOzQ9fn5OSQlZXltQ2Cw+Fg5syZxuFkTeLj47HZbOTm5rZ4npSUFKxW6yHrRMR/1m0oZ1XpNj7ZsJ1zVz3F/I/shLkbAbh3zSP836X3tGgzMCqMBWcdyVTrQIbGRvZ0yCIiEoS6lLhduXKlr+IQkSB2zoPv8MX2PUTV7SXrnaf51Serjbq6kDD+Ou0XLD/hIhrNIUZ5VJiJu88/loyUUf4IWUREpFvY7XaSk5ONpO3KlSvJzMz0OlgX9h9Ilp6ebqyqbc7hcJCSknLYOhHpWU0rbOsbG3n6g03Ef/4Jj/79Hsbv2mxc81VCItmnXdGibVSYiaumJXHB5BE9GLGIiAS7TiVu169fT1FREampqUycONHXMYlIECjd4uSxt8p4/csfATjVUcy9ax5hRFW5cU3R8KPImn0jZQNHerWdfewgHvu/1B6NV0REej+z2dzuT31ZrVY2bNjg0+/vcDjIyMjwKrNYLMbetikpKeTk5GCxWCgrKyMvL8+4Li8vj6ysLFJTUyksLGx3nYj0jHUbynmhcDNbKvay9YefuGbtM/y66GVjS7B6cwiPnHQJy07KoD4kDIDwEJg4wsKpI8OZdvwYJo2K9+dLEBGRINThxO2cOXOw2+1YLBZcLhdz5szh+eef747YRCRALXtrAzlrvjUeD6x2kfuve4lsqANgb1g4Oadezj+Sz8HdbJXtgH5m/jn3RO1lKyIi3eLgPW0LCgooLCz0OqTM4/GQmZnJNddc4/Pvb7Va8Xg8h6xPTk429rhtrW3Titz09PR214lI99teWcOKd8tYv6WSCRvWYz9oS7BPh4xlweyb+HpQklE2MCqMk8ccwaLZR2Ku282gQRY/RC4iIsGuQ4nb++67D4fDQVlZGUlJSTgcDs4880weeOABbrnllu6KUUQCxP5Vtt/x+pc7vcp3RVn4y7RfcNvbf+f90cez8Kwb2WIZ4nXNfenHaVsEERHpVpMnT/Z6nJmZydq1a4mJifEqX7lyJfPnz+fqq6/uyfBEJAiVbnHyUvEPFG5yUl+7j/tX/4VRlfs/cVYXEsafp1/G31Iv9N4SrJ+ZY4fHMid1JENiI9m5c7e/whcRkSDXocTt8uXLycvLIylp/18SrVYrjz/+OIsWLVLiVqSXW/bWBh5441saPftX2Fb3i6A2LMKofyL1ArbGDubVI0+Bgz6mumnpOT0droiICMXFxTidzhaJ24EDB1JQUOCnqEQkWNzxr0956ZNt7N3XiAcgJJRFZ93Asy/8nqLhR7Fg9k04Bu7fs9YEhJpNnJBoYd7pYxk3eABDYyNxu93+fAkiIhLkzB252OFwMGnSJK8ym81GSUmJL2MSkQCTV7SZnDXf0uj2cN6Xb5P/xLXcvO5Zr2sazSG8OmGaV9J2hCVCSVsREfGbmTNnkp6ezvfff2+Ubdq0CZvNxsyZM/0YmYgEuiue/JCX3/mKqF07ab4ByvuJk7jskj8x5xdLjaRtmAkmj4rl9z87imczT+bU8YMYGhvpn8BFRKRX6dCK29jY2O6KQ0QC1BVPfsjb3+5i8O6fuGfNo9jKCgG4quhlXp0wjfXDjmy1nbZGEBERf7Pb7aSnp5OUlERc3P791V0uF5MnT8Zut/s5OhEJRNsra5j/TBHxbxfwxppHKBs4gssuucdrccL7iZOMr6PDTSw86xhmHq1krYiI+F6HErftPaVXRIJf6RYnGcs+YJ/bwyWfvsHtbz5BzL69Rv1rR57CltjBLdodOzSaV246rSdDFRERaVVsbCz5+fls3LjR+ISY1WptsReuiAjA0x9s5IVXS5j7r0e48Mu3ARiyp4JLS9fw/KSzjOv6mSEqPJQzjhzErbMnKGErIiLdpkOJW6fTycCBA1uUezyeVst37drV+chExC9KtziZ+1QhO6vrGeHawdLXH2ba96VG/c6oOH5/5rW8Mf4kr3Zx/UN46sqpTBwZ19Mhi4iIHNL69et5/vnn+eSTT1izZg0A999/PzabrcUWYCLSd2W/9iU7/vZP/vH6Mo7YW2mUv2WdwjvWKcbjEZYIfnfmBKaOiVfCVkREul2HErfZ2dndFYeIBICLlq2jZHMVZncjV5a8wq3v/oP+9XVGfd6xNv4482qqIqK92mlbBBERCUQrVqxg4cKFLF26lBUrVhjlSUlJZGVlGYlcEel7tlfW4KyuJy4qjIrvvifld/OY+eV7Rn1leBSLbZm8dMwMY5uEyDATt551JOdPGu6vsEVEpI/pUOL21ltv7a44RMSPSrc4Of/RD4zHF33xFnetPfAL7taYBG6bdT3vNlttADAoKoyP7zizx+IUERHpiJycHIqLi0lMTCQrK8sov/jii8nMzPRjZCLiT+s2lLOqdBvlVbVM+2gNc/75AMfsrTLqXx9/Enekzac8Ot4oiw43c+usCZw/aYQ/QhYRkT6qQ4lbEel9rnmmkNe/2OlV9q9jzuDy4lUc92MZ/5h8DtmnXU51eH+va7TKVkREAt2uXbuM7byan9WwceNGPB7PoZqJSC9WusXJM//9nvLdtRzxVSlXLb/LqNvVP5Y7bdewesI0Y5WtGRg/OJr5Z4xR0lZERHqcErcifdQDa77m4bfKABhY7WJXlMWoazSH8Ltzfkts7R4+HnmsV7txCZHk3zKjJ0MVERHplIyMDDIyMli5cqVRVlVVxbx587TiVqQPenn9Dzz9wUa+2rabmgY3puhEVh5nY85nBfzn6NO4J20e5RExAMRGhDJhyABOOzKBC5NHaD9bERHxCyVuRfqY5tsi9Guo5/oPniez8F9k/CKbz4aOM677JiGxRVutshURkWCSm5tLRkYGFosFgNTUVEpKSsjMzGTp0qX+DU5Eesz2yhr+VbKVVa8W8o05Bvf/VtN6gD/NuJrXx5/MW2NPYIQlgoENjZhMJm47+yimWgcqYSsiIn6lxK1IHzL/n4W89vn+bREmbfuGnFcfZPyuzQDkvPYg513+F+pDwlq0GxgZSvFds3o0VhEREV/Iy8tj48aNlJSUAJCcnExSUpKfoxKRnrJuQzl5H33PyP/3d17Mf4I70+ZjP85m1FdFRPPm2BMwAbvrGojr34+MlBFcMFnbIoiIiP8pcSvSR0xbWsBWVx0R9bXcvO5Zrip6mRCPG4B6cwhvjDux1XZaZSsiIsHqzTffZMaMGSQlJSlZK9IHlW5x8sZL73Dtij8yoexTAO5Yu4J3Eyezc8BA4zqzCRLj+/PraVaOGxHDxJFx/gpZRETEixK3Ir1cXtFmbrV/BsDUzZ+x9PWHSHJuN+o/GzyGBWffxFeDrF7twsyw4d5zejRWERERX8rMzOS+++7jwgsv9HcoItLD/lP0Pbv+uITfr36S8MZ6o/zlo0+nup/39gexEaHclDae8ycN7+kwRURE2qTErUgvdsEj77J+626i6vay8J2n+OUnrxp1dSFh/GXaZaw44UIazSFe7XQAmYiI9AYLFixgwYIF2Gw2BgwY4O9wRKSHvJmXz5jfXMd52zYYZZvihpJ11o18NOo4r2tHxUVwy6wjlbQVEZGApMStSC9UusXJ1U8XUr5n/+qCv77yAGnffWTUFw4/mqzZN+IY6L1319iE/sw7bYy2RhARkV7BZDIRGxtLYmIiNpsNq9X70yVLlizxU2Qi4mvbK2v4bnMFofdnM/3ZxwhrbACg0WTmiZTz+fP0y/BERkKDBzMQGgJTkwaSkzFRB5CJiEjAUuJWpJeZfPcanLUNXmV/nfYLzigrZF9oGNmnXcE/ks/BYzJ7XbNpqbZFEBGR3iU/P5/4+Hji4+NxOp0UFxcbdab/nSovIsFte2UNa7/ayar1WznjmYe45oOVRt2GgSNZePZNFA+bgAk4OiGauKh+HD/CwpTRFmYeNcR/gYuIiLSDErcivcQDa77m4bfKAIiu28ue8P5G3Rf/28f24xHHsNXiPUEdHN2Pj36f1qOxioiI9ISVK1ce/iIRCVrrNpTz9AebWL/ZSUV1Pd+kXMDFpW8Qt7eKx07M4OGTL6U+NAyA0BATQ2IjuOKUJKaPS/Bz5CIiIu2jxK1IkCvd4uT8Rz8A4IhqJ4vzHyfRuZ3zf/VnGkIO3OIvHTuzRduXrztZp+aKiEivs379eoqKikhNTWXixIn+DkdEusH2yhr+/koJn1Wbce2txw24ImP47Tm34OwfwxeDxwAQYoLYyDDOmziMeaeP0bYIIiISVJS4FQli2a99xWPvOMDj4YIv3+auguXE1e4GYN5HL/LoyZe02i5pYARv3doykSsiIhLs5syZg91ux2Kx4HK5mDNnDs8//7y/wxIRX9q7lx+vvp77X32RCzKX8VO4xah6L2my8XVkmJnLT0pk9nFDtFhBRESCkvnwl4hIIEp74C0ee8fBkKqfeNK+mL++8oCRtK2IjOH7uKEt2kSHm3j5upOVtBURkV7pvvvuw+FwUFZWRkVFBd999x1FRUU88MAD/g5NRHxge2UNm/Jeoe6oY5hk/zvxe6u46/VlmDyeVq+ffexgFp59lJK2IiIStLTiViTIpC97n6LNLvB4+HnpGha99SQx+/Ya9asmTOdu2zx2RVm82o0bFEX+zaf3aKwiIiI9afny5eTl5ZGUlASA1Wrl8ccfZ9GiRdxyyy1+jk5EOmt7ZQ2r3v2axPv/wJnv/tsorwvtxycjjiLE7MHtOXDgoAlITbTw50uSez5YERERH1LiViRIbK+s4aQlbwIw0rWD7Nce4uTNnxr1O6Pi+P2Z1/LG+JNatD3rmEE8/svUHotVRETEHxwOB5MmTfIqs9lszJo1yz8BiUiXrdtQzrqH/8EVT2czrKrcKC8ceQyPXZaFI244IVW1hJpMHDk4mkY3xPYP474M7W8tIiLBT4lbkSDw0Npv+HP+dwDE1O5h9d9v9Fplu/I4G3+acTVVEdFe7eIiQ3nq1yfo42EiItInxMbG+jsEEfGhHd9vI+zqa7jt3VVGWXVYBNmnX8FzyWczMDoCqyWS+Oh+9AsxEx8VTnREKOdOHKZDyEREpFdQ4lYkwE34/WpqGw48roqI5tnJZzP/IztbYwax6KzrWZfk/TGwQVFh3Dp7Ahkpo3o4WhEREf8xmUyHv0hEgoPHg+Xsszjxy8+MonWjJ7Fo9g38EDsYswniovpx2dTRTEncv0jBWV1PXFSYkrYiItJrKHErEqAeWPM1D79VRmhjAyEmE43mEKPur6f8nLrQMFakXkh1eH+vdpuWntPToYqIiAQEp9PJwIEDW5R7PJ5Wy3ft2tUTYYlIJ2yvqsU59waO/m0me8L786czrub549PAZMLE/lO2Bw0IZ0pinJGoVcJWRER6GyVuRQLM2q92cM0/iqn3wNE/Osh57UFWT5jGYydmGNfUhYXz12mXebWbfewgHvs/7WMrIiJ9V3Z2tr9DEJEO2F5Zg7O6nvrGRsLMZuJC3ezcB2988SPf7NhNv4GTOe3ia/nP0adT2BiFqdGDyQQhJoiP6sfFU0YqWSsiIr2aErciAST9sfcp+t5Fv4Z6bvngea75yE6Yu5FxP23mjXEnUjZwZKvtXr7uZO1jKyIifd6tt97q7xBEpJ3WbShnVek2NpbvoX7LD2S98jDlIaHcctEi9tQ1EmI2cfyIGIouySS+vpGrLBGUbHZRW+8mtn8YF08ZzvmThvv7ZYiIiHQrJW5FAsDar3Zw1dPFAEz+4WuyX3uI8bs2G/Wb4obSr7G+RbvkUTG8dO30HotTRERERKSrtlfWsKp0G9W19Ry/9t/cuPpxYmv3ADDVejLrjp2OyQRfbt/NyLj+NLo9nDtpBL86JUn72IqISJ+ixK2In514Tz47du8jor6WW9b9k6sKX8aMB4B6cwjLTpzDoyfNYV9omFc7rbIVERERkWDkrK4nbOtW5q74I5O+/Mgo/6m/hX3mUDCZCDGbqGtoZHNFDaMG9jeStUrYiohIX6LErYifLH75c/7+3+8BOHHzpyx97WESXduN+k+HjGXB7Jv4elBSi7Y6gExEREREgknTfrZxkSEMf+Ep7rhtERG1e436fx17BotnzKWqfwxDwkOorGnA44Ho8FDOnThMCVsREemTlLgV8YPEhauNr8/65n0e//cS43FdSBh/nn4Zf0u9kEZziFe7IQP68eHtaT0Wp4iIiIhIVzXtZxvx/SYu//ufGPpFkVG3fcBAfj/rej6cMJW6RjehJhP1jR7io8KYOWEw804fo6StiIj0WUrcivSg5qtsm7xtncLGuKEkObdTOPxosmbfiGPgCK9rZh6ZwBNXntCToYqIiIiIdFnTfrYDf/iem2+/lLC6WqNu9YnnkH3GVewKjSQizEx8v3AypgzHmjCAkfGR2hZMRET6PCVuRXrI2IWraQBC3I1eK2lrwyLImn0TE3Zu5Jnkc/CYzF7ttJetiIiIiAQLY0uE/+1J66yup3x3HeZho/nqqBSOX/8eW2MH85c5v2NbyilE7a2nZk8dYwdFc+kJozh/0nB/vwQREZGAocStSDd7YM3XPPxWGbB/W4Tb33qSX835AxvjD0xKPx55LB+PPNarXWSoiRtmjlPSVkRERESCQtOWCOW763A31DN17GCiwkPY9FM1n/9QycenzeOK/oNZdtplhMbEMGBvPUMtEYyMj+S6M8Zq3isiInIQJW5FupF14WrcwBHVThbnP84537wPwNLXHuLSXyxpsboWIAS4+cwjmTZuoCavIiIiIhIUmrZE2O6qIeSzT1mw8j4ePfUXfHzcNKLCzNTsa2RXRBx/OPVKko6IItRswrl3HyPjI/nlSYma94qIiLRCiVuRbmDsZevxcOEXb3Hn2hXE1e426qsioonaV8ue8P5e7W44Ywy3zJrQ0+GKiIiIiHSJs7qeCuceZr6Qy2VvPUeYu5G7X32E2SOOoSI6Bkv/MEJCTNTVu2lo9DAqvj8j46O47owxStqKiIgcghK3Ij5UusXJ+Y9+AMDQqnLuWfMoMxwHTs3dFRnD3bZ5rDrqVDCZvNpuWnpOj8YqIiIiIuIrg74p5Y67r2D0NodRVhk5gEF7XZRFRDMgMgyzCSo9DeypayDEbOaXJ41W0lZERKQNStyK+Mg1zxTy+hc7MXnc/Lx0DYveepIB+2qM+v8cdSp32+ZR0T/Wq92EwdG8/tvTejpcEREREZGuq6mBu+9m4P33c4TbDUC9OYTHT5rD36ZfQkhkJKENjTir9xHXP4yhsRHE9u+nlbYiIiLtoMStiA8kLlxtfJ392kPM+azAePxjdDy/P/Na8sed6NUmPBS++ZNW2YqIiIhIkHrvPbjqKvj2W5o+S/b10LFknXMT3wy2AiaOOSKKE5LiKCvfS32jm4QB4Zw7cZiStiIiIu2gxK1IFzyw5msefqvMq+xfx8wwErcvHJfGPTOuoioi2uuaiyYP5c+XJPdYnCIiIiIiXbG9sgZndT1xUWEMjY3E9fAyYm+6HpPHA0B9aBh/t/2K/9h+Ti0hxNY2MHpgf24/5ygmjoxr0V5EREQOT4lbkU7IK9rMrfbP9j/weLz2q/3v6OP56yk/p3j4UaxL8k7OmoC7zzuay09O6sFoRUREREQ6b92GclaVbmNPbQPREaEkDuyPM2wMN4f3J7K2mvJjJvPYL29j12gr7h/34KlvJCzExHmThhsra4fGRiphKyIi0kFK3Ip00LSlBWx11RHa2EDmxy8xdcvnXJFxNx6T2bjmr9Mua9Hut7axzEkdpQmriIiIiASN7ZU1rCrdhsftwZoQzcaf9pBXtBVrQhyv/HoB5ioX78z6OW6zmciQEKYmxbPVWUtEmJmZRw3yd/giIiJBTYlbkXZqvi3CMT+WkfPqgxyzc/+puT8vXcNzk2a32i4EKFuqvWxFREREJPg4q+tJ/PBtzn/1Kf59798YEBGGa+8+HOWQaz2VsBAT0XvqOX/ScD7d6uLHqjriosI4d+IwLVgQERHpIiVuRdrBunA1bqBfQz03fPA88z/MI9Sz/9TcRpOZgdWuVtvNSR5OzpxJPRaniIiI+FdJSQkAycnJOBwOXC4Xycn7t05yOBzY7XasVisOh4PMzEwsFkuX6kS61a5dJN58I9e+8BwAKcuW8H7GLdQ3eqhvdBMfHcGuPXXU1rs5bngMM48apH1sRUREfEiJW5HDSFy4GoDJP3xNzmsPMm7XFqPuq4REFsy+ic+GjvNqY4kMYf1dZ/VonCIiIuJ/ubm5LF++HACbzUZeXp5Rl5GRQXFxMbA/GTt37lyjvrN1It3mxRfh+uvpv3OnUeTetJktP1YRGxnKgIgwKvfWExkWSnR4CGEhIdrHVkRExMeUuBU5hMuW/5f3HRVE1Nfyu3ef4ddF/8HM/lNz95lDefSkOSw7KYP6kDCvdvelH0dGyih/hCwiIiJ+NmXKFJxOJ4DXqliHw+F1ndVqpaCgoEt1Ir6yvbLGWCk7eK8LS2Ym5ldeMer3Rg3gxctu5gvbhYyvrsNRXs1QSwSDBkSwu7aeqPBQ4qLC2vgOIiIi0hlK3IocpHSLk/Mf/QCA6Lq9vPLUTSS6th+oHzKOBWffxDcJiV7tTkyy8Py8U3oyVBEREQlArW1jUFBQQHx8vFdZfHw8JSUlFBUVdaquaQuG5urq6qirqzMeV1VVAeB2u3G73Z19SQHP7Xbj8Xh69WvsLu999xOvfLqN6pp6phXlk/70/URUOo36qllns+RnNzBwbCKDzSaOGBDO7tp6wsywu2YfURGh/Oz4oQweEK7+b4Xem76jvvQd9aVvqT99p6/0ZUdenxK3Is2cfG8B26oO/LKzJ7w/H446jkTXdmpD+/HnaZfxROoFNJpDvNq9fN3JTBwZ19PhioiISIBxuVzY7XYACgsLmTdvHlarFZfL1er1FRUVna5rzZIlS1i8eHGL8vLycmpraw8bf7Byu91UVlbi8Xgwm83+DidoVFTX8f5n24gD5j6xmHHvrDHqGuPj2X3vvWybOYuY0u3U73ES1T8M1956JieYOX18PCEhZqLDQ4iPcrOz2ZYKcoDem76jvvQd9aVvqT99p6/05e7du9t9rRK3IsCKd8u459WvW62794xfM6CumvtP/RUb44d71UWEwtd/OqcnQhQREZEg0PzgMKvVSlpaGmVlZYe8/lCJ2c7WLVq0iJtvvtl4XFVVxciRI0lISCAmJqat0IOa2+3GZDKRkJDQq3/R87Vd26vYWlNO0hHRlFonGYnbT0+awZ4HHuLEqUcRA/zk7s8rn25ja0UDURGR/Oy4YUwde4R/gw8Sem/6jvrSd9SXvqX+9J2+0pcRERHtvlaJW+nzxi9azT4PWGqquGPtCgpHHMPzkw4cLFYVEc11Fyxq0U572YqIiPQNy5cvbzP5mpaWhs1mA/bvSdu0hYHVasXhcOBwOLBYLC1WyVZUVGCxWDpd15rw8HDCw8NblJvN5l79CxCAyWTqE6/Tl+Kjw4mKCGPjrmrWHHUmluM+Yt2UMzCdNYO9P9STtLuOobGRnDp+EOMGDzD2wdUBZB2j96bvqC99R33pW+pP3+kLfdmR16bErfRZa7/awVVP7z+hefbX7/GH/MdJ2OsibcNHvG1NYUdM66sItMpWRESkb8nMzGzXdSUlJcycOdM4nKxJfHw8NpuN3NzcFm1SUlKwWq2dqhPpCOMAssgQhj73FHz/PUNzcjh34jD+kv8NWyrr+M0FCzgiuh8zTCaqaxtwVtcbSdqhsZFK2IqIiPQwJW6lT0pcuBqAhD1OFuc/xtnffmDUeUwmxu7a0mriVqtsRURE5FCsVivZ2dnG44KCAtLT042Vs805HA5SUlK6VCfSXus2lLOqdBuRmxxc/uSf4KuS/RXnnMPYSScQ3z+c+Kg6+vcLoV8IbPqpmmhLBHFRYf4NXEREpI9T4lb6lF/97UPeczjB4+GiL97kzrUrsNTuMerfGHciv0+bz84BA73a3XDGGG6ZNaGnwxUREZEgYrFYSElJIScnB4vFQllZGXl5eUZ9Xl4eWVlZpKamUlhY6JM6kcPZXlnDKyVbmL76Wc564VHC9h04iJd338U5bjL9Qs2kjI7ju/I97GtopNHt4YTEgVphKyIi4mcBn7gtKdn/1+Dk5GQcDgcul8vYN8zhcGC32439w5ofBiFysKueLuQrp4mhVT9x75pHOMNRbNTtiozhrrRreGXCdDCZvNptWqptEURERKR9kpOTjbnqwZqvyE1PT/dJnUgTYyuEg/ag3VvyKdfcdhVJji+MsvJBw6l+5HESM35GXGUN0RGheDxwQuJAtrmqGRYRxoyjEvzxMkRERKSZgE/c5ubmsnz5cgBsNpvXCoOMjAyKi/cn3xwOB3PnztUKBGlhxbtlLHn1K46KgxO//5Tcl/7EgH01Rv3LR53GYlsmFf1jvdqljLJgv/aUng5XRERERKRDmrZC2FPbQHREKOdOHMb0RAtkZ2P94x8x7dsH7N8SbN3sX7Dm59dz/ZkTgf171547cRirSrexc3ctlqh+TLfGMkSrbUVERPwu4BO3U6ZMMQ54aL6a1uFweF1ntVopKCjoydAkCDTtZdt0Xt9Xg5KoCYtgwL4adkTHc/us61g7dmqLdlplKyIiIiLBYHtlDatKt+HxwKABEfzg2surBZ9w4mO3EvbZpzR9lmznsET+cdUd7Dx+CudOHOa1Knf6uATGDorGWV2PJTIEc91u/7wYERER8RLwiVug1e0PCgoKiI+P9yqLj4+npKSk1Y+n1dXVUVd3YD+nqqoqANxuN263u92xuN1uPB5Ph9pIz/vjqi94+r/fGwlbMx5MeNgdGc2dZ87njLJC7j3j1+yOiMaMx2iXnjycpekTNb4BQvdbcNK4BSeNW3DqbePWW16HSE9yVtezp7aBULOJL7ZVUtfg5us6E9sbQhgFNJpDeOe8y6leuIizRw5qsZVCk6GxkQyNjcTtdrNzpxK3IiIigSDgE7culwu73Q5AYWEh8+bNw2q14nK5Wr2+oqKi1fIlS5awePHiFuXl5eXU1ta2Ox63201lZSUejwez2Xz4BtLjrnq6EIBZ+zZz9eon+Gv6jbhiBjIiGkzAlqkn8o+pJzIC4H9J2/BQWHZZKgA7d+70S9zSku634KRxC04at+DU28Zt924li0Q6Ki4qDLMZPv2hkoiwEPqFmKgzm1l49k3cu+8+1v1mMZ8OHotpSzUpE1pP2oqIiEhgCvjEbfMDx6xWK2lpaZSVlR3y+kMldBctWsTNN99sPK6qqmLkyJEkJCQQExPT7njcbjcmk4mEhIRe8QtSb/Lm1z+S+Y9iQhsbmffRi1z/wfOENzbwy7zHufbC2/AAXzvBjffhYy9dezLHj7D4JWZpm+634KRxC04at+DU28YtIiLC3yGIBAWvg8jCPFz7Si6PxBzNN2MnEh4WwtjB0XztHs7jS55lsCWSwW4PjvI9OKvrlbgVEREJIgGfuHU4HMbWB1arFYfDgcPhwGKxtFhdW1FR0eq2CgDh4eGEh4e3KDebzR3+RcdkMnWqnXSP0i1OLnz0A9zAMT86yHn1QY7ZeWAP5DG7thJbsxsPMbgxGYnbhOhQCn8/y09RS3vpfgtOGrfgpHELTr1p3HrDaxDpbs0PIju+bD2X//0ejv5+I3cNHc3ixf9k8GALO3fXERkWwp76Bo5we/ixqpboiFDiosL8Hb6IiIh0QEAnbktKSpg5c6ZxOFmT+Ph4bDYbubm5LdqkpKT0VHjiZ2u/2sFVTxcDEN6wjxs+eJ5rPrQT6tm/P16jyczyEy7ir6f8nPqwfgxptpftfenHkZEyyi9xi4iIiIi0V/PVtQCrSrfRb281c/MeZfIrzxnXJezawfHbvubTyMlER4SSkTKCTbv24ijfQ3REaIsDyURERCTwBXTi1mq1kp2dbTwuKCggPT0di8XSYmWtw+EgJSXlkCtupXc5669v8/WOagCSf/iKnFcfZGzFVqP+q4REFsy+ic+GjgMwDiCbcWQCf7tyas8HLCIiIiLSQc1X10ZHhHL8CAsjC9/j8qfuJWbnNuO6vakn0v+Zpzh/yChObdpCITbSe0sFJW1FRESCTkAnbi0WCykpKeTk5GCxWCgrKyMvL8+oz8vLIysri9TUVAoLC73qpHcq3eIk47EP2Pe/Q6ev/+B5bl73rJGY3WcO5ZGTL+GxE9OpD/H+KNgTl6cyaNCgng5ZRERERKTDtlfWsKp0Gx4PWBOiqdy+E+vCOzn5nf8Y19SERbDi7KsZfeetnH/kKIaCV4J2aGykErYiIiJBLKATtwDJycnGHrcHa74iNz09vSfDEj+449+f8cyHm73KyuJHGEnb9UPHsWD2TXybkOh1zei4CN669Qx27tzZU6GKiIiIiHSJs7qePbUNWBOiGfV5IWffezPRFeVGfdGYyTx66a00JiWx1eHkhDEJStKKiIj0MgGfuBUBOOaO1VTXtyx/bcI0XvruDL5KSOLJ1PNpNId41W9aeg6w/9RtEREREZFgERcVRnREKD9W1TJwQBwRVS4AGqKieSb9Br455xKskaFEhoXiKN+Ds7peiVsREZFeRolbCWilW5yc/+gHAJxRVshpjmLuTrvG65qbz7kZTCavsgmDo3n9t6f1WJwiIiIiIr40NDaScycOY1XpNgr7D2FIxjymbvua+keX8dVXe/F4IDJsf2I3OiLUOLxMREREeg8lbiVgXfH3D3n7m11Yaqq4q2A5F375NgAfjjqO14885cCFByVtm1bZioiIiIgEnR07YOlSWLqU6eMSGDsoev8BY2cvIT4uCkwmzu23/9AyR/keoiNCOXfiMK22FRER6YWUuJWAk1e0mVvtnwEw++v3+EP+4yTsdRn1aRs+9E7c/s/MIxN44soTeipMEREREZFO215Zsz8hGxW2P+nq8cAzz8BvfgNOJ3tC+7H55t8TFxXG0cNivNp6JXSb2ouIiEivo8StBBTrwtW4gYQ9Tv6Q/xizv/3AqKsMj+KPM+diP3amVxsz4NAqWxEREREJEus27F8xu6e2geiIUC4e5GHq0tvgtdeMa9xPPsWKCecSZonh3InDmD4uwes5hsZGKmErIiLSyylxKwFhwcr1rCz5ATweLv78Te54cwWW2j1G/ZpxJ/L7M6+lPDreq9196ceRkTKqp8MVEREREemU7ZU1rCrdhscD1iOiSPzXs0x85i9QU21c88m02fz7igUMHzGIH6tqWVW6jbGDopWoFRER6WOUuBW/S1y4GoCI+loe/9cSTt9YbNT91D+Wu2zXsHrCNK+9bEfHRfBO1swWzyUiIiIiEsic1fXsqW1gcoOTWffewaj1Hx6oHDaMzff8mRWhY7EmRBNiNjE4JgJH+R6c1fVK3IqIiPQxStyKX5RucXL7S5/x+fbdRlltaDj7Qg+chvuvo0/nDzPn4uwf69VWh4+JiIiISLCKiwoj7Z0XOeeZv9CvrtYo33Xp/zHwsYcJM4UTnf8tP1bVMjgmgh+raomOCCUuKqyNZxUREZHeSIlb6XHL3tpAzppvW1aYTPw+bT6jnNvJOe1y3hzrfdDYnOTh5MyZ1DNBioiIiIh0g6GxkST3bzSStjviBrPi/7LYfeoMzi2vZ/o4C+dOHMaq0m04yvcQHRHKuROHabWtiIhIH6TErfSo6/9ZzCuf78DsbuTKov/wfdwwCsZNNep3DhjIWb9+xGtbBNAqWxEREREJHtsra3BW1xMXFdZqwnX0fX+kpuBVPhx6FK/8/HqGjhhMVbO9bKePS2DsoOg2n0NERER6PyVupcc07WU7rvx7cl57iMnbv2FnVBwfjzyGqojoAxc2S9rGR4ZSctesng5VRERERKRT1m0oZ1XpNvbUNhAdEcolES6m/PgdXHXVgYv69WPTqrXkfbDlkHvZNv0TERGRvkuJW+l26cvep2izi9DGBq75yM6N7z9PP3cDAEdUuzjdUcR/jj69RbsFs8Zz7RnjejhaEREREZHO2V5Zw6rSbXg8MNbSj2P/sYyJL/0NjwlMKSkwcaJxrWXgAKIjQrWXrYiIiBySErfSbUq3ODn/0Q8AOGbHd9z32oMcvXOjUV8WP4IFs2+keMTRXu1GWMJ59LIpTBwZ16PxioiIiIh0hbO6nj21DZzk2sRZf76NhI3NznXIzobnnjMeDo2N1F62IiIi0iYlbqVbnLq0gM2uOsIb9nHT+8+R+dFLhHrcADSYzCyfehEPnvIL6kL7ebV7+bqTlbAVERERkaAUF9JI+ovLOO0/TxPibgSg0RzC3pt/x4A/LW5xvfayFRERkbYocSs+1XyV7YSdG3n05WzGVGw16r9KSOTWs3/D50PGerWbkzycnDmTejJUEREREZEu8TqE7ItPGPrrXzP0m2+M+h8Sj+THvy4j+fwZh3wO7WUrIiIih6LErfhM0yrbJs7IASTsqQBgnzmUh0++hMdPTKc+xHvfrk1Lz+nROEVEREREuqrpELK6qj2kv7iMIa/9P0weDwCefv0o/80CzLfeSvIRMX6OVERERIKVErfSZc1X2Tb344AjuPeMX3Ppp2+wYPaNfJuQ6FV/YpKF5+ed0kNRioiIiIj4RvNDyBITYhj32UdG0pYTTsD05JMMOuYY/wYpIiIiQU+JW+mSCbevprYRBtRVc8P7z/PIyZdQFRFt1D8/cRYrj0/DbQ7xaqe9bEVEREQkWDUdQmZNiAaziYLfLSE96wpcC25nyJ1ZEBJy+CcREREROQwlbqVT8oo2c6v9MwBmfPcx96x5lKF7dhFTV83C2TceuNBkwm06MHG9/ewJzD11TE+HKyIiIiLSYV572DbtQ/v66yRYEoiOCOXHqloGx0RQOnQ8Gx57nWsuTFHSVkRERHxGiVvpsKZVtnF7K7lz7Qou/PJto+6cr9fxwPRfUh7dcjWt9rIVERERkWDRtIftntoGoiNCuXB0JCc9ei88/TQJqamc+/TLrPpiJ47yPURHhGI7ZYIOGRMRERGfUuJW2u28h9bx6bYq8Hg4+5v3+UP+Yxyxt9KofycpmUVnXd8iaXvlSaO56/xjezpcEREREZEOaVphW9/YaOxha02I5oiCVzlm7r3g+mn/hYWFTF//NmPPvqDlilwRERERH1HiVtolceFqABL2VPDH/Mc469v/GnWV4VH8YWYmLx47A0wmr3ZaZSsiIiIiwaD5CtsGtxvn3npOjzNhW3IbR77z6oELY2Phz3+GSy9lqMmkhK2IiIh0GyVupU3N97I998t3+GP+Y1hq9xj1r48/iTvS5lMeHe/V7qxjBvH4L1N7NFYRERERkc7YXlnDC4Wbqat3M9zSn/LdNRy37jV+teoRBux2GdfVzppNxBMrYPhw/wUrIiIifYYSt9Kq5gnbJjF11UbS9qf+sdyZNp9XjzzFa5WtGfjXdSczcWTLPW5FRERERALR2i93sn6zi/CwEGq+38KC/zzE8cXvGPXV0bFsWbyUCb+d1+ITZiIiIiLdRYlbaSH1T29Qvqe+Rflzk87iZ1+vY0f0QP4wcy7O/rFe9TecMYZbZk3oqTBFRERERLpse2UNH23cRWiIiX4hJhIqdnBsybtGfeXPLqD2z39hwrhE/wUpIiIifZISt2J4YM3XPPxWGQCJFT9wuqOYp1LOM+o9JjNXpN9NXVi4V7t+IfDtPdrLVkRERESCj7O6nka3h4kjLWz4cQ+fjjiKlSdfxPlfvUPk8seJvfhiYg//NCIiIiI+p8StADB20WoaPGB2N3JV4cvc8t4/iWjYxzcJifx39PHGdQcnbV/WtggiIiIiEqzcboaueZkB/Y/BbQ5halI8W521fHzVbzn99L8SmTTC3xGKiIhIH2b2dwDif4kL9ydtx5V/z0v/vJXb336SiIZ9AFz735Wttpl5ZAKblp6jpK2IiIiIBLTtlTV8ua2K7ZU13hXffQczZhD361+RWboakwl+rKojLiqMC6eNZ4iStiIiIuJnWnHbh131949Z+005YY31zP/QzvUfvEA/dwMAbkw8NeVc7jv1Vy3abVqqbRFEREREJPCt21DOqtJt7KltIDoilHMnDmO6NR4eeghuvx1q9idzxzy4lJs/u4KKiFjiosIYGhvp58hFRERElLjtk0q3ODn/0Q8AOHbHd9z36l85qnyTUf9d/AgWzL6JkhFHebVLiAqj8I4zezJUEREREZFO2V5Zw6rSbXg8YE2I5seqWj5a/R5Tn1tKv8KPD1yYlAQrVjDEOpIh/gtXREREpAUlbvuQ0i1OLsn9gNoGCGus57fvPUvmRy8R6nED0GAykzv1Yh465efUhfbzaqtVtiIiIiISTJzV9eypbcCaEE2Yu4HzXn2KE//5KGEN9fsvMJnghhvgnnsgOtq/wYqIiIi0QonbPuJnD77D59v3GI8bzCFM2fqVkbT9clASt86+iS+GjPVqd4o1nmczT+rRWEVEREREuiouKozoiFBCPl3Ppbl/YHDZlwcqx4+HJ56AadP8F6CIiIjIYShx2wckLlzdosxjMrNw9o28/I+bWX7ChTw+NZ2GEO+3g1bZioiIiEiwGhobybkTh2F6MttI2nrMZky/+x3cfTdEah9bERERCWxK3PZizfeyPWXTempCw732rd0YP5xT5j/J7vAor3bHD4vhPzdO79FYRURERHoDu92OzWYDwGKxeNWVlJQAkJycjMPhwOVykZycDIDD4cBut2O1WnE4HGRmZhrt26rry7ZX1uCsricuKozBA8JbvWb6uAR2rHiQfSe9j2nAAMKe+jukpvZwpCIiIiKdo8RtL5RXtJk/rPqC3XVuYmr3cNtbT3Lpp2+wMW4os698mNqwCOPag5O2WmUrIiIi0nkZGRktyrKzs1mwYAG5ubksX74cAJvNRl5enle74uJiYH+idu7cuUZ9W3V91boN5awq3cae2gaiI0L52fFDGR8D1NTAJ594bYEwZHgCrC2A0aOhX79DP6mIiIhIgDH7OwDxndItTo6/6zVutX/G7jo3M7/7iDeeuJZLP30DgCTndjI+K2i17RH9w5S0FREREekCl8tFXl4eHo/H+NeUtAWYMmUKTqcTp9NJfn6+14ra5qxWKwUFBYet66u2V9awqnQbHg9YE6LxeOCVT7dR8857mCZPhlmzYONG70bjxilpKyIiIkFHK257iWueKeT1L3YCELe3krvWLueCL98x6nf3i2Tp6Vfy3KSzWrR9+bqTmTgyrsdiFREREemt0tPTja/tdrvXY2i5fQJAQUEB8fHxXmXx8fGUlJRQVFR0yLqmbRb6Gmd1PXtqG7AmRBNiNjEirJGJy3JILFiJyePZf9F118Grr/o3UBEREZEuUuK2F5h09+u4ahvB4+FnX6/j7oJcjthbadS/ZZ3CbbOuZ3tMgle728+ewNxTx/R0uCIiIiK9UvOkrMvloqKiAqvV6lVmt9sBKCwsZN68eVitVlwuV6vPV1FR0WZda+rq6qirqzMeV1VVAeB2u3G73R14NYHLEhlCdEQIP1bVkPrdJ9j+8nviy7cZ9Z6TTsJz333QS15vT3O73Xg8nl7zfvE39afvqC99R33pW+pP3+krfdmR16fEbRB7YM3XPPxWGQAJeyr40xvLmLXhQ6PeFRHNH2bO5aVjZoDJ5NVWq2xFREREuk9WVhbZ2dleZc0PFbNaraSlpVFWVnbI5zhU0ratuiVLlrB48eIW5eXl5dTW1h427mBgBs5OaMDyxz8wae0qo9wdEcHuhQupufpqCAmBnTv9F2QQc7vdVFZW4vF4MJu1s15XqT99R33pO+pL31J/+k5f6cvdu3e3+1olboPUuEWrqfcceBxTV83pjmLj8avjT+autPmUR3snZ8NDTNxkG6ekrYiIiEg7LV++vM0Ea1paGjabzXjscrkoKChosS2Cw+EwtjewWq04HA4cDgcWi6XFCtqKigosFkubda1ZtGgRN998s/G4qqqKkSNHkpCQQExMTHtebsDYUVmDc289cf3DGBIbeaBi9WoGz5+P6YcfjCL3aafx05IlxKemMqAX/6LXE9xuNyaTiYSEhF79S3NPUX/6jvrSd9SXvqX+9J2+0pcRERHtvlaJ2yDTfJVtc2UDR/LgKT/nyqL/cGfaNbw2YVqLa249czzTxh2hpK2IiIhIB2RmZnbo+qKiohaJ1ZKSEmbOnInT6fQqj4+Px2azkZub2+J5UlJSsFqth6xrTXh4OOHh4S3KzWZzUP0CtG5DOatKt7GntoHoiFDOnTiM6eMSoLYWrr8empK2AwZATg5cfTXun34KutcZqEwmk/rSh9SfvqO+9B31pW+pP32nL/RlR16bErdBonSLk/Mf/QAAk8fNxZ+/yaoJ06kLOzAxz516Mc9NOgtXpPdqimOHRfPKjaf1aLwiIiIifVVJSUmLA8WsVqvX1gkFBQWkp6cbq2qbczgcpKSkHLaut9peWcOq0m14PGBNiObHqlpWlW5j7KBohsZGwvLlcNZZMGvW/q9HjdJ+tiIiItIrKXEbBH724Dt8vn0PAEkVP7D0tYeYuvULxuzaSvbpVxjXNZpDWiRt70s/joyUUT0ZroiIiEif1/xQMth/cFlKSgo5OTlYLBbKysrIy8sz6vPy8sjKyiI1NZXCwsJ21/VGzup69tQ2YE2IZkDlLqLrG/jUE4Wzun5/4nbWLFi3Dk45pcU5DiIiIiK9iRK3AS5x4WoAQtyNXFX4b25+71kiGvYBcHXhv3gm+Wy2xQxq0c4E3DprvJK2IiIiIj1swYIFrZYnJycbe9werPmK3PT09HbX9UZxUWFEh4cw/JUXueDpHDZbj8Zx+zLiosIOXDSt5bZgIiIiIr2NErcBKq9oM7faPwPgyPJN5Lz6IBN3bDDqN8cOJmv2ja0mbW8980imjRuovWxFREREJGBtr6zBWV1PXFTY/pW0/zN09y6yli1g4Nv5ABxZ+l+ucqxjaOwkP0UqIiIi4h9K3AaY0i1OLl3+ATX1ENZYz/wP7Vz/wQv0czcA4MbE31PO4/7pv6Smn/cpdHOSh5MzZ5IfohYRERERab9WDx8bewQ88QTccgsDq6qMa2vS53Dkry/1Y7QiIiIi/qHEbQBpvpftcds3kPPagxxVvsmo/y5+BAvOvomS4Ud5tTMDv5s1nmvPGNeD0YqIiIiIdFxrh4+990YhJ8y9n/B33jpw4dCh8NhjRJ5/vv+CFREREfEjJW4DhHXhapqfhXvqxhIjadtgMvP4iek8fPKl1IX282rXP8zE/8s8SdsiiIiIiEhQaH74WAgeznrbzilPPEB4Xc2Bi668Eh54AOI0xxUREZG+S4lbPyvd4uT8Rz9oUZ479WLO/uZ9ABacfRNfDB7T4pobzhjDLbMmdHuMIiIiIiKddfBetnFRYURHhPJjVS3Jmz9n5rI/Hbh45EhYsQJmzfJfwCIiIiIBQolbPynd4uS6Z0vY6qql/74apm75nLfGpBr1DSGh/Dr9Tnb1t9AQ4j1MGVOGc1/GpB6OWERERESkY1rdy3ZcAudOHMaq0m2sGzyB8af+jCnvvgLz58PSpRAT4++wRURERAKCErd+MP+fhbz2+U4Apm38hCVrHmFoVTnnX/4Xr5W1Pw44okXbJy6fwsyjhvRYrCIiIiIinXGovWzHJpzO9HEJjB0UjbO6nvhpj8OmDXD66f4OWURERCSgKHHbwybd/Tqu2kZiavdw+5tPcMln+Ubd3fm5ZPxfTqvttC2CiIiIiAST5nvZhrkbOH/Vk5z43DJ+bHwUbsxkaGwkQ2MjgRhIHO7vcEVEREQCjhK3PSSvaDML7J/hAWwbPuJPbzzKkD0VRv0Ho45n4Vk3tGhnAm6dNZ5rzxjXc8GKiIiIiHRC8/1sm/ayDSldz89z72aQ42sAht61EOacB0P0KTIRERGRtihx2wN++bcPWffdLuL3VnJ3QS7nffWuUbe7XyT3nnEVz088E4/JbJSHh8CNM8czbdwRTByp03RFREREJLAdvJ/teRPiuX7tUwxf/jAh7kYAPCEhmK+dDxaLf4MVERERCQJK3HazvKLNrNvwE+d+9S53F+QysKbKqHvTmsLts65je0yCV5vkUTG8dO30ng5VRERERKRTDt7PNrzoY8b95m4G/+Awrqk/5jjC/vEUJCf7L1ARERGRIKLEbTf7+3sbCXU3cu2HeUbS1hkxgD/MnMu/jjkDTCbj2lAT/HzqSP54wfH+CldEREREpMOa9rMdPyCE6SuySX7pKUwez/7KsDC44w7CsrKgXz//BioiIiISRJS47WYVe/fREBLKgtk38e9nbuH18SdxV9o1/BTlvf3B6LgIHvpFsrZFEBEREZGg07SfbfKK+5my+p9G+b7kKfR7+ik49lj/BSciIiISpJS47WYTBg9gR9UuPhs6jrOufJgNCaNbXHNikoXn553ih+hERERERLpuaGwk504cxtqLrmLyu6uJqK1my28XYr3nDgjVrxwiIiIinaFZVDf77ZlH8s6GD/CAV9K2Xwj07xfKuROH8ccLjvNfgCIiIiIiPjB9XAJjB02lIuopIseMxpoy0d8hiYiIiAQ1JW672cSRcdw6azyPvV1GTX0jkWEhXDB5GFOTjmBkfKS2RhARERGRXmNobCRccp6/wxARERHpFZS47QHXnjGOU8YewZaKGiVrRURERERERERE5LCCOnHrcDiw2+1YrVYcDgeZmZlYLBZ/h9WqiSPjlLAVERERERERERGRdgnqxG1GRgbFxcXA/iTu3LlzycvL83NUIiIiIiIiIiIiIl1j9ncAneVwOLweW61WCgoK/BSNiIiIiIiIiIiIiO8E7YrbgoIC4uPjvcri4+MpKSkhOTm5xfV1dXXU1dUZj6uqqgBwu9243e52f1+3243H4+lQG/E/jVtw0rgFJ41bcNK4BafeNm695XWIiIiIiPhC0CZuXS5Xq+UVFRWtli9ZsoTFixe3KC8vL6e2trbd39ftdlNZWYnH48FsDtoFy32Oxi04adyCk8YtOGncglNvG7fdu3f7OwQRERERkYARtInbQzlUQnfRokXcfPPNxuOqqipGjhxJQkICMTEx7X5+t9uNyWQiISGhV/yC1Fdo3IKTxi04adyCk8YtOPW2cYuIiPB3CCIiIiIiASNoE7cWi6XF6tqKigosFkur14eHhxMeHt6i3Gw2d/gXHZPJ1Kl24l8at+CkcQtOGrfgpHELTr1p3HrDaxARERER8ZWgnR3bbLZWy1NSUno4EhERERERERERERHfCtrErdVq9XrscDhISUk55IpbERERERERERERkWARtFslAOTl5ZGVlUVqaiqFhYXk5eX5OyQRERERERERERGRLgvqxK3VaiU7OxuA9PR0P0cjIiIiIiIiIiIi4htBu1WCiIiIiIiIiIiISG+lxK2IiIiIiIiIiIhIgFHiVkRERERERERERCTABPUet13h8XgAqKqq6lA7t9vN7t27iYiIwGxW3jtYaNyCk8YtOGncgpPGLTj1tnFrmpc1zdOk6zo75w02ve1e8Cf1pW+pP31Hfek76kvfUn/6Tl/py47Mefts4nb37t0AjBw50s+RiIiIiEhzu3fvJjY21t9h9Aqa84qIiIgEpvbMeU2ePrqkwe12s23bNgYMGIDJZGp3u6qqKkaOHMmWLVuIiYnpxgjFlzRuwUnjFpw0bsFJ4xacetu4eTwedu/ezbBhw3r1Koue1Nk5b7DpbfeCP6kvfUv96TvqS99RX/qW+tN3+kpfdmTO22dX3JrNZkaMGNHp9jExMb36TdRbadyCk8YtOGncgpPGLTj1pnHTSlvf6uqcN9j0pnvB39SXvqX+9B31pe+oL31L/ek7faEv2zvn1VIGERERERERERERkQCjxK2IiIiIiIiIiIhIgFHitoPCw8O56667CA8P93co0gEat+CkcQtOGrfgpHELTho3kf10L/iO+tK31J++o770HfWlb6k/fUd92VKfPZxMREREREREREREJFBpxa2IiIiIiIiIiIhIgFHiVkRERERERERERCTAKHErIiIiIiIiIiIiEmBC/R1AsHA4HNjtdqxWKw6Hg8zMTCwWi7/DklaUlJQAkJycjMPhwOVykZycDGgcA01JSQlz586luLjYq7ytcdIY+t+hxk33XmArKSmhoKAAgMLCQlasWNGu+0pj519tjZvuOelr7HY7NpsNoMX7ubP3Q1+9V7qjv/pqX0L3/Kzuy/3ZGvVH2/Qe9C39jPQd/d/tAx5pl+TkZOPrsrIyT3p6uh+jkbZkZmZ6AA/gsdlsHqfTadRpHANHXl6ep7i42NPaj6G2xklj6F9tjZvuvcCWnZ3t9XXzMdE9F7jaGjfdc9LXNL3fm/9rukc6ez/01XulO/qrr/alx9M9P6v7cn+2Rv3RNr0HfUs/I31H/3d3nRK37VBWVub1xvB4PB6LxeKnaORwcnNzPU6n0+um93g0joHq4ARgW+OkMQwcrSVude8FruLiYq8+Lysr8wCesrIy3XMBrK1x83h0z0nf4nQ6PXl5eV5lzRMVnbkf+vK94uv+6st92R0/q/tyf7ZG/dE2vQd9Tz8jfUP/d/uG9rhth4KCAuLj473K4uPjjWXdEngsFkuLpfIax+DQ1jhpDAOf7r3AlJyczIoVK4zHLpcL2D8OuucCV1vj1kT3nPQl6enpxtd2u93rMXT8fujr94ov+6sv92V3/Kzuy/3ZGvVH2/Qe7B76Gekb+r+767THbTs0/eA7WEVFRc8GIu3icrmw2+3A/v195s2bh9Vq1TgGibbGSWMY2HTvBbbmk6QXXngBm82GxWLRPRfgDjVuoHtO+pbmv9S5XC4qKiqwWq1eZR29H/ryveLr/urLfQm+/1nd1/vzYOqPw9N70Lf0M9I39H+3byhx2wWHesOIfzXfmNpqtZKWlkZZWdkhr9c4Boe2xkljGBh07wWHpgnSwYfLtXZdZ+qke7Q2brrnpK/KysoiOzvbq8yX90NfuFd6qr/6Ql82190/q/tafx6O+qMlvQd9Qz8jfU//d3eeErftYLFYWmTvKyoqevepdUHM4XAYJxE2nTLocDg0jkGirXHSGAY23XvBISsri/z8fKP/dc8Fh4PHDXTPSe+wfPnyNn9JS0tLM06jhv2/mBUUFLR4P3fmfuht90pH+tLX/dXb+hI6/t4E3/2s7o392RXqj/bTe9A39DPSt/R/dxf5e5PdYHCozY8P3kBZ/O/gjdmdTqcH8DidTo1jgDr4x1Bb46QxDBwHj5vuveCQnZ1tHFTRdBCA7rnA19q46Z6Tvio/P7/F+7uz90NfvVe6o7/6al8258uf1epPb+qP9tF70Df0M9L39H931+hwsnZovgcH7P+rQEpKSu/O6Acpq9Xqtfy+oKCA9PR0LBaLxjGANf9YQ1vjpDEMLAePm+69wGa320lOTjb2jVq5cuVhx0dj539tjZvuOemLSkpKWhxK0tn7oa/eK93RX321L5v4+md1X+/Pg6k/Dk/vQd/Rz0jf0//dXWPyeDwefwcRDBwOB7m5uaSmplJYWMiiRYt69RsjmDWdNGixWCgrK/P6YaBxDBwFBQXk5+eTk5PDggULSE1NNTbVb2ucNIb+1da46d4LXA6HgzFjxniVWSwWnE6nUa97LvAcbtx0z0lflJOTQ1lZGbm5uV7lnb0f+uq90h391Vf7srt+VvfV/jwU9ceh6T3oe/oZ6Vv6v7trlLgVERERERERERERCTDaKkFEREREREREREQkwChxKyIiIiIiIiIiIhJglLgVERERERERERERCTBK3IqIiIiIiIiIiIgEGCVuRURERERERERERAKMErciIiIiIiIiIiIiAUaJWxEREREREREREZEAo8StiIh0i5KSElwuV4fbFRQU+D4YEREREZEO6Oxc1l80hxbpnZS4FZE+JSsrC5PJFFATm7S0NLKystq8JicnB5PJ1Oq/w7X1h4KCApYsWYLFYgEOxD9lypQW1y5fvpwxY8YYjx0OB/PmzeupUEVERET8LhjnqMuXLycuLu6w/3Jycnowat84eC7bGR2Z//qC5tAivVOovwMQEelJy5cvx2q1kpeXh81m83c47bZr1y4sFgsbN25sUdeVCWV3cDgcZGRktIjVYrFQUlJCSUkJycnJh2yfmZnJlClTWL58OZmZmd0droiIiIjfBeMcNTMz0ytWh8NBWloaeXl5XnO9+Ph4f4TXaYeay3ZGe+e/vqA5tEjvpBW3ItJnlJSUEB8fT1ZWFitXruxw+4KCAp//ZbyjLBZLi3+BJjs7m8zMzBaxWa1W0tPT27VCODs7m+zs7G6KUERERCRwBPMc1Wq1ev1rrSwQ56ttOdRctjM6Mv/1Bc2hRXofJW5FpM/Izc3FZrNhs9lwuVwB9VG03sLlcrF8+XIuueSSVuuzs7MpKCigpKSkzedpWr1ht9t9HqOIiIhIINEcNXAcbi7bGe2d//qC5tAivY8StyLSZ6xcuZKMjAzjr/+5ubmtXpeTk8OYMWOMPakKCgrIyMggLS0Nh8Nh7C3bdFjBwft/lZSUYDKZjMd2u50pU6ZgMpkYM2ZMt06ksrKyGDNmDHFxcV57XGVkZLB8+XJjP63mvxC09nqbzJs3j7i4OMaMGcPy5csP+/2LioqwWCyH/CiY1WrFZrOxZMmSwz5XcnIy+fn5h71OREREJJj1hTkqdG6empGRQVxcnLEFQPP4D/f6wHdz2YyMDHJycryer6CgwFjtbDKZyMjIaPU5OzL/9cX30xxapHdR4lZE+oSCggJcLpfxV+j09PRWJ6fz5s3jhRdeIC8vD6fTSXZ2Ni6Xi7y8PPLy8rBarXg8HjweT7s/PlVRUcGKFSvweDzk5uaSkZHRLX9xb3re/Px8Nm7cSEVFBWlpacD+1QO5ubnGx6ea+uFQr7fp+RwOBxs3biQ/P5+srKzDxp2fn298TO5QsrOzsdvtOByONq9LS0vTihMRERHp1frCHBU6N09NS0ujpKSEtWvXsnbt2kMmtNv6nr6ay7pcLrKysoy9b5OTk8nIyCA3N5fi4mKKi4ux2+2HTA63d/7ri++nObRI76LDyUSkT2j6CFqTSy65hJycHOx2O+np6cCBj0aVlZUZEzZfHA7R/HAAm82G1WqloKCgwwcUuFyuFqsIrFYrZWVllJSUYLfbcTqdxmQ9Ly+PuLg4Y+LWNHFtqm/r9TocDq/ns1gsZGdn88ILL7QZt8PhOGziNjk5meTkZLKzs9ucgMfHx1NRUdHmc4mIiIgEs94wRz2czsxTHQ4HBQUFFBcXG/EsWrTokKtMD9Ydc9nk5GSvxQ92u5158+YZK3STk5MpKys7ZNv2zH998f00hxbpXbTiVkT6BLvd7jXRS05OxmKxeE2cCgoKsFgsh008dsby5cvJyMhgypQp7f5L+8EsFouxkqLpX9NkraioqNXDH1JSUoyPStlsNq/6tl5v02qEpKQk4uLiiIuLa9cqBZfL1a6Tg7Ozs1m+fLmxuvdQr7etehEREZFg1xvmqIfTmXlqSUlJiy0LOvL6u2Mum5KSYnzddE3zMqvV2ubcta35r91ub7FKtrPfT3Nokd5FK25FpNdr+rhZVlaW1z5YTYc/uFyubj3tdsqUKcZJwTabjSlTpvj8e7RnctbRyX5ycjLFxcUdatPefmxa1bFkyRK/nYIsIiIi4k99YY4K3TNPbQ9fz2Vbq+vI+LQ1/12yZImxF66vvp+I9A5acSsivV5ubi7p6ek4nU6vf00TuZUrVwL7J3cul6vLqw2afzTJ4XAY+3n54iNth2Kz2XA4HC0mxkVFRaSmprbapq3Xm5ycTElJSYf/Wt+Rj2ZlZ2eTk5NzyO/hcDg0ORUREZFeqy/MUaFz89Sm1aTNX/Ph5pjN63tiLtsZh5r/FhcXk5eX55PvoTm0SO+ixK2I9GpNKxaan1zbpGlvqKaPolmtVjIzM42DDFwuF3a73VgBYbVajfKCggJjImm1Wo2PXTkcDq8VE00fa2o6OMBut3fLoQ9Ne2DNnDnTiLHpdOKm/dEO1tbrPbiuKfacnJw24xgzZky7f6lIT09v8VHA5lwul9fHwURERER6i74yR216PR2dpzb1QfPX3Dx+aPv19cRctjMON//1Bc2hRXoXJW5FpFdbuXJli48dNTdv3jyvv8Y3HRCRlpZGXFwcubm5XHLJJcCBCWRSUhLZ2dlez1FUVERcXBzz5s1j3rx5xse9LBYLCxYsYN68ecTFxRmrGrrjr+BNzz1lyhSSkpKIj48/7MfD2nq9ubm5JCcnM2XKFKPucCsybDZbhyb92dnZh5wc5+fn+/xwDBEREZFA0JfmqNC5eeratWuJj49nypQpZGRkGK+3Pa8PemYu2xltzX99QXNokd7F5PF4PP4OQkREeo+4uDjy8vK6/LE7k8nkdZKwiIiIiPRdJSUlTJkyhe5OYfhqLusvmkOL9C5acSsiIj61aNEir9UenWG327HZbJpwioiIiEiP8sVc1l80hxbpfbTiVkREfG7MmDHk5eV1etLY1fYiIiIi0rv01IpbCN65aLDGLSKHphW3IiLic8XFxcydO7fDJ/kCZGRkkJ2drQmniIiIiPhFV+ay/qI5tEjvpBW3IiIiIiIiIiIiIgFGK25FREREREREREREAowStyIiIiIiIiIiIiIBRolbERERERERERERkQCjxK2IiIiIiIiIiIhIgFHiVkRERERERERERCTAKHErIiIiIiIiIiIiEmCUuBUREREREREREREJMErcioiIiIiIiIiIiASY/w8qVVZ9cGHlQAAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 1400x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Force R² Score: 0.999873\n",
"Torque R² Score: 0.999661\n"
]
}
],
"source": [
"y_pred = model.predict(X_poly)\n",
"\n",
"force_pred = y_pred[:, 0]\n",
"torque_pred = y_pred[:, 1]\n",
"\n",
"force_actual = y.iloc[:, 0].values\n",
"torque_actual = y.iloc[:, 1].values\n",
"\n",
"fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n",
"\n",
"# Force comparison\n",
"axes[0].scatter(force_actual, force_pred, alpha=0.5, s=10)\n",
"axes[0].plot([force_actual.min(), force_actual.max()], \n",
" [force_actual.min(), force_actual.max()], \n",
" 'r--', linewidth=2, label='Perfect Fit')\n",
"axes[0].set_xlabel('Actual Force (N)', fontsize=12)\n",
"axes[0].set_ylabel('Predicted Force (N)', fontsize=12)\n",
"axes[0].set_title('Force: Predicted vs Actual', fontsize=14)\n",
"axes[0].legend()\n",
"axes[0].grid(True, alpha=0.3)\n",
"\n",
"# Torque comparison\n",
"axes[1].scatter(torque_actual, torque_pred, alpha=0.5, s=10)\n",
"axes[1].plot([torque_actual.min(), torque_actual.max()], \n",
" [torque_actual.min(), torque_actual.max()], \n",
" 'r--', linewidth=2, label='Perfect Fit')\n",
"axes[1].set_xlabel('Actual Torque (mN·m)', fontsize=12)\n",
"axes[1].set_ylabel('Predicted Torque (mN·m)', fontsize=12)\n",
"axes[1].set_title('Torque: Predicted vs Actual', fontsize=14)\n",
"axes[1].legend()\n",
"axes[1].grid(True, alpha=0.3)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"from sklearn.metrics import r2_score\n",
"print(f\"Force R² Score: {r2_score(force_actual, force_pred):.6f}\")\n",
"print(f\"Torque R² Score: {r2_score(torque_actual, torque_pred):.6f}\")"
]
},
{
"cell_type": "markdown",
"id": "5a5d0634",
"metadata": {},
"source": [
"### Visualize a specific subset (like the first 13 rows)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "837a814f",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# For the first subset\n",
"subset_indices = range(0, 13)\n",
"x_subset = magDf.iloc[subset_indices][\"GapHeight [mm]\"]\n",
"y_actual_subset = magDf.iloc[subset_indices][\"YokeForce.Force_z [newton]\"]\n",
"y_pred_subset = force_pred[subset_indices]\n",
"\n",
"# Plot actual vs predicted for this specific condition\n",
"plt.figure(figsize=(10, 6))\n",
"plt.plot(x_subset, y_actual_subset, 'o-', label='Actual (Ansys)', linewidth=2, markersize=8)\n",
"plt.plot(x_subset, y_pred_subset, 's--', label='Predicted (Model)', linewidth=2, markersize=6)\n",
"plt.title(r\"$-15A, -15A, 0^\\circ$ roll: Model vs Ansys\", fontsize=14)\n",
"plt.xlabel(\"Gap Height (mm)\", fontsize=12)\n",
"plt.ylabel(\"Force on magnetic yoke (N)\", fontsize=12)\n",
"plt.legend(fontsize=11)\n",
"plt.grid(True, alpha=0.3)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "b46ce772",
"metadata": {},
"source": [
"## Better Interpolation Methods\n",
"\n",
"Let's improve interpolation accuracy without manually guessing polynomial order."
]
},
{
"cell_type": "markdown",
"id": "a019f402",
"metadata": {},
"source": [
"### Method 1: Cross-Validation to Find Best Polynomial Degree\n",
"\n",
"Automatically test different polynomial degrees and find the one with best validation score."
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "fd12d56b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Degree 1: Train R² = 0.752592, Test R² = 0.757407\n",
"Degree 2: Train R² = 0.965022, Test R² = 0.965732\n",
"Degree 3: Train R² = 0.993618, Test R² = 0.993764\n",
"Degree 4: Train R² = 0.998598, Test R² = 0.998637\n",
"Degree 5: Train R² = 0.999764, Test R² = 0.999752\n",
"Degree 6: Train R² = 0.999932, Test R² = 0.999927\n",
"Degree 7: Train R² = 0.999950, Test R² = 0.999947\n",
"Degree 8: Train R² = 0.999889, Test R² = 0.999802\n"
]
},
{
"data": {
"image/png": 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4kgxH+jeJb+vrn3tMNTVk2+WyLMsNUQBW2Qb6C2LZu3JpzheRJU1NzDyPMVkbjIn/MCb+ssHGw7NzohKJhKSZILWUzs5OdXd3KxqNKhqN6ujRo0U95gd/9923NHZ1asEAleNIGrs6pb//3jvrUda8Ojo6lEwm3fOKJKm/v19tbW1qampSOBwuOKcpHA6745h7/uDgoDo6OmQYhjo6OpTNZpe9vmVZCofDamtrUywWU0dHh9ra2pRMJuetv6urSx0dHYrFYgX7yclms+rs7HTPA8tN/5v9WFtbmwYHB93n/eRP/uSc9yWbzaqjo2Pe9wXYkHJ/QRx8rOBf1fFPaOdf/YKqjn9izmP6w/DM8wAA2GA8O+QRjUaLWm/2l9NgMOh+iV7ssbX0s3/wnC6OF5ekR69cL2nbv/m339fvDJ1bcr3m7XX6b7/x8ZK2vZRMJqPOzk51dXVpaGhI0sx7mkqlZJqmenp61NnZueCRw0wmo76+PvfxcDiswcHBBc+BWmr93DlU0WhUsVhMoVDIrWs+AwMDCofDGhgYcENQPB53P2uHDh1Se3u7zp8/L9M0C4JWOBxWLBZTPB5XNpvVoUOHJElHjx5VJpPR4cOHC96XQ4cO6ciRIxoaGlIymVz0fQE2hA32F0QAAFbC9/PGksmkAoFAwbJAIKB0Oq3h4eEFHwuFQmtW08XxCb09dm1Ntj0xZa/ZtovR3t6uvr4+935+2I3FYkt2u4tEIu50ykgkopGRkWWvn06n3f13dHQU1SSiq6tLXV1dymazGhwcdMNNJpORZVkFQSe37VyYyoU30zR1/PhxHTp0yD2ymf++5LoM5taPRCIKBAJMJQRQMse2NTU9panr1zU5dV1T169reuq6piava3pqcub21KTsyUlNT1+XPTkpe+q6NmXPau8y9vftp/+z3q/7e0mOHEcy5EiOM3Nfcm8bNx6fmScxs44hyXFu3r/5ImYvu7lNLbTNOevqxuM3bxesk3/fmdnWzdcwzzZv7O/mcyTJnnkNs7ZRuE0VbMfIe1/c9fP36d53tHl6TPcXNQqFfviff0NXq7blLVlq7spCFn9eaVcrXGBbC+6i+JqNkl5fKduda7P9vvaUsLecH/7Zr7lj4hg3t+64e8l7FYaRt1x5j+c9x7j5iTHc7dx83JlzLUmjcF83buY/z32+kb8sr8a8fapgW/O/FmPWtpxZzzFmb2vOdvLqm/OezdxumHpXj2jj8H2Iyp/elS+TySz62EImJiY0MXHzr6ljY2OSJNu2Zdt2wbq2bctxHPdfTvP2TUVWP3MkamLKXnrFG+pqqtS0ZentN2/fVFBTKXLPm+/50Wi0YHk2m9XJkycL2pPnPz77vQmFQnO2v9z1I5GIeyTp6aef1sMPP1z0a25sbNTnPvc5nThxQkNDQzJNU8FgcN7nj4yMFNQhSa2trcpms+5nLP99GRkZUTabdaf25YyOji5YX+51z/c5Q/FyP5O8hx5wnGXN/7YdR1qt8XIcyZ6SM31d05OTmsoPG5OTmpqauHH7uqanpjQ9dV32jXXtqUk59qSmpyblTE/Kmboue3pq5vaNf7KnpOlJOTf+qxvLDHtKhp1325mSMT05819nWlX2lKqcSVU506pyplTlTKvambr5T9OqcqZVo5nbNc6UajStak1rkzGtWkm1kjavzru0qH0v/8k67AWluHfiO16XgFnuvf6S1yUgz6r+f6SY/RW5L9+HqIUsFKCWeqy3t1dPPfXUnOUXL17UtWuFR4AmJydl27ampqY0NTXlLv/yZz9SdJ1/8+Kb+txfFf/D+O9+9l595uE7ZMz5q8Rc+TWVIvfhmP18x3HU2NjoLs9ms9q7d69++7d/W//+3/97SdK9997rPu44jqanpwvu596v3P38/Sxn/YGBAXV1denxxx/XH/3RH5X8mh3HUUNDg3bv3i3LsuZ9/u7duzU4OFjw2AsvvCDTNLV169Y570tjY6MefvhhvfDCC3O2tVB9U1NTsm1bly5dUm1tbUmvATfZtq3Lly/LcRxVVXGZu/VUc+ndhbsnLeJH//fndK1qswx7SlW50HEjXMz8d1pGLnQoL3zIvhk6NKUaZ1o1xs3/sVVLKv7PWT5T2iEBAKhomUxGU9UX1m1/4+PjRa3n+xBlmuacI0uZTEamaS762EKOHTumJ5980r0/NjamXbt2qbm5WQ0NDQXrXrt2TePj46qpqVl2x7yf3XeH/r//44cav7Z4cwlD0vbNNfqpB25d8y/ZuS+fs1+TYRiqrq52l7/66quSpF/8xV+UaZrueUa5x2evbxiGqqqqCu6vZP3z58/r6aefdqdsLjYGyWRSn/3sZ/WFL3xBoVBIgUBAg4ODOn/+vFt/MBjUb/7mb6qvr889whaJRHTkyBH95m/+pvuYZVn6tV/7NX3+859XbW3tnLpz6//Jn/yJurq6JM1MCcyfmjhbTU2NqqqqtGPHDtXX1y82PFiEbdsyDEPNzc2EqJWyp+Vcyei90Xc0nnlbV7Pv6PrlC5oavyhduaSqq5e0aSKjzZOj2jadVYNzeVm7ue/KmdWpt4yCh+0YmlK1JlWtaaNG06pS7tjTlFFzY1mNbKNatjGzjn3jn2NUy66qlVN1435VjVRVI8eokVNdI6eqVqqq0eapMT108b+VXNv37/lVXdtyp2RU5c3KMdwpN+4f8IyZKUhG3lSk/PtObt3cQ6q6+fjMghv7MG7cNfK2eXNbM9u5sUbVze26j+XKNKpubOXGPo259c7crnK3N7PL3O+Jme3n79O48ZzcdKtcjUZejbnlhnGzhoLXYNysqebSj7Tjb/9ZyWOSfeKEpptnTQQ03HdyaXl/dF36OYVrLPoH2wUeW/gZi22ruG2XvN2CTRpztlt14SVt+68/X8K+ZowfTshu+aDcaaLu1NbZs3gcOe5Ri8Lpq7nbN9e/cdtZYN3cdNd5psK6t/O3NetxJ+/xmWmo89Rd8Hje8+ebZpv3+LzTcN3XP2varfu8vNcsyXAc1Vw+r+bnfkulCgQCUsvaXEt1PsV+T/N9iIpEIvOeC9Pe3q5gMLjgYwupq6tTXV3dnOVVVVVzvpRVVVW5v2SLOTI0n/pNNfq9w/t19C+GZTg3P3b5cr/vf7dzn+o3FQaKtZDb9nz7yH+t4XDYPd8nFAopEokoGAwWPG/2e5N/f779lLK+aZq6++673XVz5yrN15Sko6NDfX19GhgY0PDwsKSZz0EqlVJTU5Mk6ZlnntHRo0fdUHb48GEdOXJEhmEolUq5jwUCAcViMXV3dxf8ssyvO7f+5z//eQUCAUUiEXV2ds77fue/zvk+ZygN7+MCpqfkXHlX74++o/cyb+vK6NuauHxB0+9dlN5/90YoGnVD0TbnPVXLVqOkRi/LdgxNqUaTqr5x3OnGf40a97+5wDFt1GjaqHYDh21Uu2HDNmrdwGHngkdVbtlM8FD1jdvVtTKqa2VU1cioqZVRVTvz3+paVVXP3K6+8d+qmk2qrplZXl2zSTW1m1RVU6uamk2qrq1VdW2tamvqZv5bW6eamlpV19Rok2Gs7ZGyN1+UBksPUfc/dkS6ff+qlwNJNVeW9TRzx63SrR9Y5WIgSbpiLutp281maeftq1sLZn5vPVf606oMQ1rH/+cX+/3CcJZ7Ys0qMQxDo6OjBX/BT6fT7pEDaebLfK4hgGVZisVibpe0xR4rxtjYmBobG3X58uV5j0SdP39era2tKz56MPT9d/Rv4i/q8tUpVRkzF9rN/bdxc41+t3O/Dt3XoqmpKdXU1KxpiCoHg4ODisfjBWOZTCbV0dGx7HPBlsNxnFUZk9X8LFWMea5JZDuOMpmMAoHAzC/VfBvtmkRTE3Lev6ir2Qt6L/O23r9xpGh6/KKcK++qelYo2u68tyZlTDi1ymi7Jox63aU3S37+yx3HNdn8oGpqa1RTW3cjiNSqprZONbW1qq2uUU21oZqq5f+xqiK9+eJMG/lSdZ0mRK0VxsR/GBN/KZPxWCwb5PPsSFQymXS/IPf29urAgQPuEYbc/Vz3s3g8rp6eHh04cEBnzpxRPB53t7PYY37Scf8teuF/j+h/vvSW/uGld5S9el3m5k369AO36CcfuE31tdXrGg7KQa55SH7A9tOFlLGGNthVzSVJ169IV97VtcvvaPzS27qSvaDrY+9oavxdyQ1FGW25EYq2OFdlSNpy499queLUKaPtGqtq1PvVpq5tatJkfUDO5p0ytu5UbUOzNjXeqq1Nt6hhx60KNAV0a12NjLe+vaz/+d3Vule6/b5VfAUAAHjPsxAViUQUiUQK2mnnzA5CwWDQXW/2VK7FHvOb+tpqfebhO/WZh+/0uhTfy51rFA6H3fPeIpEI12KqFH6/JpHjSNffk95/VxNjF9zpc9fHLmi6IBTdPFJUr5nXU3/j32oZczZrVA1zQ9GWHTOhaHuL6hpbtC1wi7YHblOgydQddTW6k6M+AAAsm+/PiULlyl3zCVhzjiNdy0rvX9L18Xf0XuadmUYLYzONFowbjRbqJjLaPJnVtumsNmlSklR349+OVSol62xVxrkRimpMTbihaOZIUc32ZtU3tmhr4FZt33GrdjY06AObmQJccbbsmDn6WsofG2rqZp6HtcGY+A9j4i8bbDwIUQA2HtuWro5KV97V5NgFvT/6jq5k39b1sYuavtF9rubqu9p0PReKLqtG05Jm2mYHFt968WU4hka1TZduhKIrNaaubQpoqj4ge8sOVW3dqdqGlplQ1HSrGgIt2tGwTXdtrlVVFaEIizB3zUxfreTzBv2GMfEfxsRfNth4EKIAbBiX/vQXVTt9VVvtMVVrpu1srSTzxr+VmnSqNartuuRsnxOKZqbPNWtTQ7PqboSixkCLdmzfrLYtm1Rd7qFog/0FcUMwd839cmHbM9dTaWlZ125WuIEx8R/GxF820HgQogBsGDsm3ypp/QmnRhk1KHMjFL1X06SJTU03jhTtVPWNRgt1jbdoW9Otagzs1I5t9dqzpVY11eXzi35VbLC/IAIAsBKEKAAbxlWnVpfU6E6fy51TNHXjnCJ3+pzZMhOKGgPaub1Oe7duUm2lhaLl2EB/QQQAYCUIUQB8Z/Kt76p2Gc974xf+Rtvuate9W2tVV1O96nUBAABIhKi1N88FQxfmSJtMacdda1gQ4FOOo4kfJZX5hy/ottHhZW3i7uZtUiMXMwYAAGuLELWWFrhg6EIMSTXVddJvDEvmB9a2NsAv7Gld/c7faDzZr5b3fqjbvK4HAABgCUxgX0vLuGCoMT1RwpGr4gwODqqpqWnRfx0dHau6z/n09PSora1NhmGora1N/f39a75P+NjUdb3//J8q079fm//mX6nlvR+6D71m7/SwMAAAgMVxJKoCdHV16fDhw+793t5eJRIJpVKpdauhs7NT2WxWQ0NDCgQCGh4e1sDAwLrtHz5y/X2Nf/1Lcr7+h2q4fkFb8x76rn2Xvnnnv9TjH2mXvvwznpUIAACwGEJUhTBNs6hlpRocHNTQ0JDi8fii6yUSCY2MjCgYDEqSIpGIIpHIivePMnIlo7GvflHVZwa1ffpywUPP2/frO62/pMhPH9EvtWyfmQrLNYkAAIBPEaKwbizLckMUKsjYW7r8ld9X/Xf+XA321YKHknZYI/d06ad/6uf0kaYtNx/gmkQAAMDHCFHLMfCY9N6Fpdebvr687f+XqFS9afF1trVIsdPL2/4CstmsOjs7NTw8rGAwqHg87oaezs5OJZNJSVJ7e7vi8biOHj2qRCIhSWpqalJ7e7uGhobm3XZXV5c6Ojrc/0aj0Tn7Pnr0qLuPSCSi48ePyzTNgscCgYB6enrU1dUlSero6FBPT4+Ghobco12LvQ6so0sjyiZ/R9t+GFejM+kunnKq9Hf6mN5+IKZ/8ukORRoW6KbHNYkAAIBPEaKW470L0viba7Z548q7a7btxRw6dEhHjhzR0NCQksmkOjs7lUqllEgklM1mNTo6KklKJpMyTVPxeLzo6XwDAwMKh8MaGBjQ4OCgJCkej7th6tChQ2pvb9f58+dlmqYbziQpHA4rFospHo8rm83q0KFDkmaCWSaTUWdnp7q6utwAt9DrwDp5+7vKPt2vBuu/y5TtLp5wavXXxic1Hv4VPXHo4wpsXeIPBQAAAD5FiFqObS3FrTd9XVpGIHK27JRRzJGoVZRMJmVZlrq7uyXNHAkKBAKyLEuSNDw8rEQisaJzmbq6utTV1aVsNqvBwUE33GQyGVmWVRB0cuEqF6ZydZmmqePHj+vQoUPu0aj29nb19fUt+To4GrXGXvmGskN9Ml//R5l5i8eczUoYn5Ye+VVFHwupoX45l9EFAADwD0LUchQ7je7NF6XBx0rf/j9LSLc/XPrzVsCyLGWzWbW1tRUsz2azikajsixLPT09sixL0Wh0ySNPizFNU93d3Tpx4oR7VGuhgGNZlkKhUMGyYDCobDarbDYraWaqYTGvA2vAceScfVpjQ/1qvDhcEJ7edRp0ovpntf3jMf3ixz+oLZv4dQMAADYGvtVAkhQIBBQKhRac9tbd3a3u7m5ZlqWOjg4lEok55zUtRy5A5Y54zRYMBue0Qh8eHpZpmm53wUAgUPTrwCqZnpLz/b/Re8/8B23P/lCNeQ+97uzUyU2f0W2fOKpf+tDdqq+t9qxMAACAtcCZ2ZA0M30uN80uJ3cuVDKZdBs+BIPBgtbogUBA6XTaXW8+yWRSbW1tSiQS7pGi/v5+WZalw4cPKxKJKBgMqqenR5LcOnJHvSS5j1mWpVgspmPHjpX8OrAKpiZkn/lTvf97D8v4q1/S9uzNC+Sete9Qb/3/Wy/8TFK/8fl+/S8fu4cABQAANiRCFFypVEpDQ0NqampSW1ubhoaG3MDU09OjpqYmGYah9vZ2N9xEIhFlMhm1trYuePHcSCSivr4+t7lEa2urhoaGlEql3O0/88wzsixLTU1Nam1tVSqVco8wpVIp97GOjg7FYjH3nKdSXweWaWJc08/9R139Dx9U1f/419r6/qvuQy/abXpqy/+uHz3xtLq7n9ITB1pVW82vFgAAsHEZjuM4XhfhpbGxMTU2Nury5ctqaGgoeOzatWs6f/68WltbVV+/QBvmxWRfk/4wXNIFQ53qOuk3hmWYHyh9f1h1juNoampKNTU1MmZfl6gEK/4seeX9S5r6xhc1/cKg6ibHCh56dvoBPR34p3rsU0/o0P23rOj9KZZt27pw4YJaWlpURYtzX2BM/IXx8B/GxH8YE3/x23gslg3ycU7UWlrggqELceRoapOpmkYuGAqPXX5dk8/9n1LqP6vWvub+orAdQ/9gt+vZW/6ZfurTP6N/d/eOdQlPAAAAfkKIWmvzXTB0IY4jTU2tbT3AYt49q+unf0/VL51UrXPzszjpVOtvpj+m1K5/oSc+/bh++67AIhsBAADY2AhRAKQ3v6Xrp35HtT/+H9qkmzN8rzqb9JfTn9SPg/9S//RTH1PnnY2LbAQAAKAyEKKASuU40svPaeLU76julVPKv7zzZWeL/nz6U3r73n+pf9HRrv/XLds9KxMAAMBvCFFFqPDeG1gFvvoM2bb047+fCU9vp1SX99AFx9Sf2j+l9x/45/pXhx7SXTu3elYmAACAXxGiFlFbWytJunLlijZv3uxxNShnV65ckXTzM+WJ6Snppb/S9dO/q02ZHxWEp1ftZv2x83OqCf2v+lefvF93mHzeAQAAFkKIWkR1dbVM09SFCxckSVu2bFnTTmSr1U4bq2elY+I4jq5cuaILFy7INE1VV3tw8dnJq9K3/ouuP/sftWn8tYJpez+wd+lP9U8U+PAR/drBPWrZXkbt1wEAADxCiFrCrbfeKklukFpLjuPItm1VVVURonxitcbENE33s7Rurl2WzvyxJr/+RdVevVgQnobtvfqzqs8o+PEndOxjrWraumnBzQAAAKAQIWoJhmHotttuU0tLiyYnJ9d0X7Zt69KlS9qxY4cvLjaG1RmT2tra9T0C9d5F6fkvauqFQdVMvqf8CYSnpvfpv9Q+ofBjP63ej+7W9noPpxcCAACUKUJUkaqrq9f8i7Bt26qtrVV9fT0hyifKakxGX5Hz9T+Qnf5zVU9PFFwg9+/sD+tkXVSfiET0Bx/6gDZv8mBaIQAAwAZBiALK3YUfynnu9+R8N6EqZ1q5eHTdqdZfTR/U/7Mtqp/95EEdD9+huhrCEwAAwEoRooBy9fqwnGd/V8aP/k6GpNwZW+87dfqv04eUbIzqFyMf1l88dLtqqn1+FA0AAKCMEKKAcuI4knVK9rO/p6qXv6r8Vhejzjb92dSn9fzOJ/QvIiH9/z54q6qqaFACAACw2ghRQDmwbemH/30mPL31LeUfV3rbadLxqZ/WD277jH458qD+9T0tdHcEAABYQ4QowM+mrkvfjct+7vdVdelsQXg6b9+i/2v65/TW7p/TZw/dr/9PcAfhCQAAYB0QogA/un5FSv+57K/9n6oaf6MgPH3P3q0vTv28ru35af3q4/covLvJszIBAAAqESEK8JOro9I3vyT7+f+kqquXCsLTC/a9+uLUz2vr/Z/Sr35yjx64o9GzMgEAACoZIQrwg/G3pW/8kezhP1HV9fcKwlNy+mEN2P9Eux76hP6PT7bp7pbtnpUJAAAAQhTgrcx56Wv/Uc6L/1XG9IQbnqYdQ//N/qiO2z+vh8If0+8+1qYP7NjiaakAAACYQYgCvPD2S9Jzvy/ne1+W4dhuq/IJp1bx6YP6M+Pn9OiHDuhLB4O6rXGzp6UCAACgECEKWE+vPi89+3vS2X+QdPMCuePOZv3f0xH9ZfXP6Cc/vl9/+fFW7dxW512dAAAAWBAhClhrjiOde0Z69nelV79e8NAlZ7v+ZOon9be1P6nOTzyov33kLjVuqfWoUAAAABSDEAWsFXta+v7fynnu92W8/Z2Ch95wduj41E9rqP7T+ueP36e//8hubavjxxEAAKAc8K0NWG1TE9K3/1LO1/6jjMyI8i9/e86+Xf/X9M/qha2P65c/fa+eObBL9bXVnpUKAACA0hGigNUy8Z6U+jM53/hDGeNvFYSnb9tBfXHq5/Qj86B+5ZN79NsP36lNNVULbgoAAAD+RYgCcrKvSVcuFS5zHNVkMtL0W5JhFD62ZYdk7pKuZKQXBuR8c0DG1dGC8PS16Q/qi9M/pws7PqJfP7RHf/TgbaqpJjwBAACUM0IUIM0EqD8Mz0zFy1MlaedCz6neJD30i3Je+isZk+8XhKd/mG7Xf5r6OU3dHtKvf3KPPnX/LaqqMhbaEgAAAMoIIQqQZo5AzQpQS5q+Ln3rz93wNOVU6W/tj+k/Tf2szA88qH/9+N16bG+zjNlHsAAAAFDWCFHACl1zanVi+hM6Pv0zuqvtPv37x+/Wh1sDhCcAAIANihAFrMCJqYP6D1P/i/bft0d/8Mm79fAHmrwuCQAAAGuMEAWswPng/6o//4mf0v23N3hdCgAAANYJIQpYgc//xL0SAQoAAKCi0GsZAAAAAEpAiAIAAACAEhCiAAAAAKAEhCgAAAAAKAEhCgAAAABKQIgCAAAAgBIQogBJ2rJDqqkr7Tk1dTPPAwAAQEXhOlGAJJm7pF9PSW9/R/rLfypJ+q59l07e9jldnbguc1u9HmnbqY+17VRdzY2/PWzZMfM8AAAAVBRCFJBj7tK17/131d+4+426R/VU7J/qwoULamlpUVUVB24BAADAdD6gwPh3/6d7ezr4uIeVAAAAwK8IUUDO5DU1vvO8JOkdx9TefY94XBAAAAD8iBAF3OC8/Jw2OROSpGedffpI206PKwIAAIAfEaKAG8ZeujmV742dH9fWOk4ZBAAAwFyEKCDnbFKSNOVUafv9n/K4GAAAAPgVIQqQpNGX1XjlZUlS2tmjj34w6G09AAAA8C1CFCBp8odPu7dTNSHde+t2D6sBAACAnxGiAEnjeedDXbvrcRmG4WE1AAAA8DNCFDB5Tdve+rok6aLTqLaHaG0OAACAhRGigFe/oU32NUnSaXufHt3T4nFBAAAA8DNCFCre+9/7e/f2efOjatq6ycNqAAAA4HeEKFS8qR/PNJWYdgxtvTficTUAAADwO0+vJmpZlhKJhILBoCzLUldXl0zTXHDdgYEBtbW1aWRkRMeOHXPXTafTkqRQKCTLspTNZhUKhdbpVaCsZV9V43uWJOlbzh59+IG7PS4IAAAAfudpiOrs7FQqlZI0E5KOHj2qeDw+77odHR1KpVIyTVPpdFo9PT0aGBiQJA0MDGhwcFCSFIlEFtwGMJv94yH3cOzzVfv12TtNL8sBAABAGfBsOp9lWQX3g8GgksnkvOvmlueOPIVCITc0SVI4HNbo6KhGR0c1NDS04NEsYLaxl/7Ovf3erk+qppoZrgAAAFicZ98Yk8mkAoFAwbJAIOBOzcuXzWbn3Ub+uqZpEp5Qmqnr2vL61yRJF50G3fUArc0BAACwNM+m8y0UjDKZzJxluXOdcnLhKbduNptVIpGQJJ05c0axWEzBYHDe7U9MTGhiYsK9PzY2JkmybVu2bZf+QlaRbdtyHMfzOirGK1/XJvuqJOmr9kP6+J7mOe89Y+IvjIf/MCb+wnj4D2PiP4yJv/htPIqtw9NzouYzX7gKBoPq6+vT4OCgDh8+7Aaq3JGs/IYUwWBQHR0dGhkZmXf7vb29euqpp+Ysv3jxoq5du7Y6L2KZbNvW5cuX5TiOqqqYVrbWNqX/Rrljod/ffEAfuz6uCxfGC9ZhTPyF8fAfxsRfGA//YUz8hzHxF7+Nx/j4+NIrycMQZZrmnKNOmUxmwSl53d3dsixLlmUpEplpQ5072mRZltuNL9fpz7KseY9GHTt2TE8++aR7f2xsTLt27VJzc7MaGhpW46Utm23bMgxDzc3NvvgQbXTvvfqsJMl2DNXf9ym1tMy9yC5j4i+Mh/8wJv7CePgPY+I/jIm/+G086uvri1rPsxAViUTc7nr52tvb510/PxSl02mFQiG3U9+hQ4c0OjpasP7s861y6urqVFdXN2d5VVWVLwbOMAzf1LKhXX5dDePnJEnfdtr04Q/uWfA9Z0z8hfHwH8bEXxgP/2FM/Icx8Rc/jUexNXhW6eyjRJZlqb29veDaT/nnQYXDYXeq38DAgPr6+tzt5G5LMw0rotEoTSawKOfskHv7WWe/PtQ6f+gGAAAAZvP0nKh4PK6enh4dOHBAZ86cKbi+U29vrw4cOKDu7m5JUl9fn5LJpDKZjDo7O90pfaZpqr29Xf39/TJNUyMjI1wnCkt676X/qe03bo/e/pjqa6s9rQcAAADlw9MQlX8UKRqNFjw2Owh1dXUtuJ1QKOSeEwUsaeq66l57TpJ0ydmuOx/4mMcFAQAAoJx4P/EQWG+vvaBN0+9Lmmlt/tg9t3hcEAAAAMoJIQoVZ/JH/+De/k79AbU1b/WwGgAAAJQbQhQqzsQPnpY009q8es8hGYbhcUUAAAAoJ4QoVJbLb2jb5R9Jkr7jtKr9/j0eFwQAAIByQ4hCZTmXdG9+1dmvR+7e6WExAAAAKEeEKFSUK9+/eT7U280fV0N9rYfVAAAAoBwRolA5pidV88ppSVLG2abb76e1OQAAAEpHiELleO2b2jT1niTpWfshHbz3Vo8LAgAAQDkiRKFiTP/4aff2cE1YD9ze6GE1AAAAKFeEKFSMaz+4eT6U0/ZJVVXR2hwAAAClI0ShMoy9pa2jP5Akfcdu1cP33eNxQQAAAChXhChUhpFn3Jun7H16dC+tzQEAALA8hChUhIm8qXyvNH1MLdvrPawGAAAA5YwQhY1vekrG+VOSpKyzVS330docAAAAy0eIwsb3+hltmhyTJD1rP6iD99DaHAAAAMtHiMKG55wdcm8/bzys8O4mD6sBAABAuSNEYcPLb21+dffj2lTDxx4AAADLx7dJbGzj72jzpZckSS/Zd+nh+/d6XBAAAADKHSEKG9us1uaP7W3xsBgAAABsBIQobGiTP7o5le9H2z6sD+zY4mE1AAAA2AgIUdi4pqekc/8oSRpztmjHvbQ2BwAAwMoRorBxvZFS7eRlSdKz9gN69J7bPC4IAAAAGwEhChuWc/Zp9/Zzzn59JLjDw2oAAACwURCisGFd/+HNEHX5zk9oa12Nh9UAAABgoyBEYWN676LqLn5HkvR9e7ceuu9ejwsCAADARkGIwsY0p7V5s4fFAAAAYCMhRGFDmv7xzal8365r1723bvewGgAAAGwkhChsPPa07LMzR6LGnM1q2PtxGYbhcVEAAADYKAhR2HjeSKv2elaS9DX7AT16L63NAQAAsHoIUdh4zg25N0/b+/Xo3Ts9LAYAAAAbDSEKG871H908H+rCLY+qaesmD6sBAADARkOIwsby/ruqfftFSdIP7F164F5amwMAAGB1EaKwsYx8RYYcSTNT+R67h9bmAAAAWF2EKGwo9tmb50O9UBPSvjtN74oBAADAhkSIwsZh25o+m5QkvefUa9vdj6immo84AAAAVhffMLFxvPkt1V7LSJppbf6xvbd7XBAAAAA2IkIUNo5zSffmKXufDu7lfCgAAACsPkIUNoypH99sbf5K0yO63dzsYTUAAADYqAhR2BiuZFT9ZkqS9CP7Tt137/0eFwQAAICNihCFjSGvtfkpe58eYyofAAAA1gghChuCc/bmVL6vG/v1odaAh9UAAABgIyNEofzZtqZ/PNNU4n2nTjV3PaL62mqPiwIAAMBGRYhC+XvrRdVcuyRJ+rr9gB655w6PCwIAAMBGRohC+Tv3jHtz5nyonR4WAwAAgI2OEIWyN513PtQPtn1Ybc3bPKwGAAAAGx0hCuXtSkZVbwxLks7ad+iee+6XYRgeFwUAAICNjBCF8mb9owzHlkRrcwAAAKwPQhTK29mke/NZZ58euZvzoQAAALC2CFEoX7at6bNDkqQrTp0m7/yIGuprPS4KAAAAGx0hCuXrne+q+spFSdLX7fv1yF5amwMAAGDtEaJQvm4chZKkU/Z+HeR8KAAAAKwDQhTKlp0Xol6sa9eDdzR6WA0AAAAqBSEK5elqVsbrZyRJI/ZtCu75oKqqaG0OAACAtUeIQnmy/lGGMy1JOk1rcwAAAKwjQhTKU15r81P2Pj26l9bmAAAAWB+EKJQfx3Fbm191Nulyy4fVsr3e46IAAABQKQhRKD/vvKTq99+RJH3Dvl8fvYfW5gAAAFg/hCiUn4LW5pwPBQAAgPVFiELZcfJC1DerQwrvbvKwGgAAAFQaQhTKy7XL0msvSJLO27fozrYPalMNH2MAAACsH759orxYp9zW5qfs/UzlAwAAwLojRKG8nLvZ2vy0vU8HCVEAAABYZ4QolA/HkX3jfKhrTq3eNMPavWOrx0UBAACg0hCiUD4ufF9V429Jkp6379dH7rnT44IAAABQiQhRKB+0NgcAAIAPEKJQNpxzN0PUc9qvjwR3eFgNAAAAKhUhCuXh2pj06vOSpFfsFjV/4H5travxuCgAAABUIkIUysP50zLsKUk3pvLd2+JxQQAAAKhUhCiUh7zW5qfs/Tq4h/OhAAAA4A1CFPzPceTcaCox4dTq7JaHdd9t2z0uCgAAAJWKEAX/u/hDGWNvSJJesO/Vh/feKcMwPC4KAAAAlYoQBf8raG2+X4/dw1Q+AAAAeIcQBf/La21+2nlIj96908NiAAAAUOkIUfC3iXE5r3xDkvSa3axtt9+vpq2bPC4KAAAAlczTC+1YlqVEIqFgMCjLstTV1SXTNBdcd2BgQG1tbRoZGdGxY8fcdUvZDsrM+Wdl2JOSbrQ238tUPgAAAHjL0xDV2dmpVColaSYIHT16VPF4fN51Ozo6lEqlZJqm0um0enp6NDAwUPJ2UGbO5Z8PtU+/QogCAACAxzybzmdZVsH9YDCoZDI577q55bmjS6FQSIODgyVvB2WmoLV5jb67aZ/27zK9rQkAAAAVz7MQlUwmFQgECpYFAgGl0+k562az2Xm3kU6nS9oOysy7P5Zx+TVJ0jftexW++07VVHMaHwAAALzl2XS+hYJRJpOZsywUChUcccoFpEwmU9J2JGliYkITExPu/bGxMUmSbduybbuY0teMbdtyHMfzOnzjx0+7Kf+0vU8H9+xc9/eGMfEXxsN/GBN/YTz8hzHxH8bEX/w2HsXW4ek5UfOZLxQFg0H19fVpcHBQhw8fdgPV7CNQS21Hknp7e/XUU0/NWX7x4kVdu3ZtWTWvFtu2dfnyZTmOo6oqjrg0ff/vVHfj9il7n342YOjChQvrWgNj4i+Mh/8wJv7CePgPY+I/jIm/+G08xsfHi1rPsxBlmuaco0WZTGbBrnrd3d2yLEuWZSkSiUiaCVelbufYsWN68skn3ftjY2PatWuXmpub1dDQsPwXtAps25ZhGGpubvbFh8hT19+X8fawJOl1Z6eMnffowbY7170MxsRfGA//YUz8hfHwH8bEfxgTf/HbeNTX1xe1nmchKhKJuN318rW3t8+7vmVZCgaDkmam84VCIZmmWfJ26urqVFdXN2d5VVWVLwbOMAzf1OKpV74mTV+XJJ2e3qeD97R49p4wJv7CePgPY+IvjIf/MCb+w5j4i5/Go9gaPKs0F4hyLMtSe3u7ewQpnU4XnAcVDofdKXoDAwPq6+srajsoU7Namx+ktTkAAAB8wtNzouLxuHp6enTgwAGdOXOm4NpOvb29OnDggLq7uyVJfX19SiaTymQy6uzsdKf0LbUdlKEbrc0NSdedaqWqHtQftC58/hsAAACwnjwNUbmGEZIUjUYLHpsdhLq6upa1HZShS+dkZF+RJJ2x79UDwTtVX1vtcVEAAADADO8nHgKznb05le+0/ZAeYyofAAAAfIQQBf85l3RvnrL367G9Oz0sBgAAAChEiIK/XL8i5+XnJElvOgG937BHbc3bPC4KAAAAuIkQBX95+TkZ0xOSpFPT+3TwnmYZhuFxUQAAAMBNhCj4y7n886H2cz4UAAAAfIcQBX+50VRi0qnW83pAj9zN+VAAAADwlxWFqBdffFGf//zn9elPf9pd9ju/8zt68cUXV1oXKtGlEWn0vCQp5ezVnl23q6G+1uOiAAAAgELLDlHHjx/XoUOH1NbWpuHhYXd5a2urenp6VqU4VJi81uanpvcxlQ8AAAC+tOwQ1d/fr1QqpaNHjxYsf+KJJwpCFVC0Wa3NDxKiAAAA4EPLDlGXLl3Sjh075iw/f/68HMdZUVGoQJNX5bz8rCTpLSegC5vb9OAdjR4XBQAAAMy17BDV2dmpzs5OjY2NucvGxsYUi8XU1dW1KsWhgrz8NRlT1yRJp6cf0sf3NKuqitbmAAAA8J9lh6iBgQFt375dpmlqdHRUBw4cUFNTk9ra2vSFL3xhNWtEJchrbX6K1uYAAADwsZqVPDkej+v8+fNKp9OSpFAopNbW1lUpDBXmRlOJKadKX7c/qH+3l9bmAAAA8Kdlh6ivfOUrevzxx9Xa2kpwwspkLCkzImmmtfkdt92mlu31HhcFAAAAzG/Z0/m6urr013/916tZCyrVuWfcm6dpbQ4AAACfW3aI6u7uVnd3t8bHx1ezHlSi/OtD2ft0kKl8AAAA8LFlT+czDEONjY266667FIlEFAwGCx7v7e1dcXGoAJPX5Jz/qgxJ7zimXq4Nqn13wOuqAAAAgAUtO0QNDQ0pEAgoEAhodHRUqVTKfcwwaE2NIr3yNRlTVyXNTOV7ZM9ObapZ9gFSAAAAYM0tO0SdPHlyNetApTqXdG+esjkfCgAAAP63ohbn0kyXvqGhmXNaPvShD+kzn/nMiotCBblxPtS0Y+g5+wH1EKIAAADgcyuaN/WpT31K0WhUqVRKqVRKv/RLv6QPfehDq1UbNrrRl6VLZyVJaWePmna0aPeOrd7WBAAAACxh2SHqV37lV2SapjKZjJ5++mk9/fTTymQy2r17t371V391NWvERpU/lW96P1P5AAAAUBaWHaJOnjypL33pS3OWHz9+XCdOnFhRUagQZwvPhzq4hxAFAAAA/1t2iGpqatLo6Oic5aOjo3IcZ0VFoQJMTcg5/1VJ0kWnUWer7tJH23Z4XBQAAACwtGWHqCeeeEJdXV0FF9sdGxvT4cOHFYvFVqU4bGCvfF3G5PuSpNP2PoV379TWuhX3OQEAAADW3LJDVF9fnxoaGmSapvbs2aM9e/aoqalJTU1NXGgXS8s7H+r09EN67B6m8gEAAKA8rOhP//F4XOl0WqlUStlsVpFIRA8//PBq1YaNLK+1+Vfth/QrnA8FAACAMrHsEPWVr3xF2WxWv/ALv6BQKOQuP3bsmI4cOaL9+/evRn3YiLKvSu/+SJL0onO3Nm3foftu2+5xUQAAAEBxlj2dr6enR6ZpzlkeDofV09Ozkpqw0RW0Np/pymcYhocFAQAAAMVbdohKpVJqb2+fs7yjo0PJZHKeZwA3FLQ236+De3d6WAwAAABQmmWHqGAwqPPnz89Znslk1NrauqKisIFNXZfOn5Ykves06Hu6S49yPhQAAADKyLJDVFdXl375l39Zr7zyirvs5Zdf1uHDh9XZ2bkqxWEDevUb0vX3JElftR/Sg3c0KbB1k8dFAQAAAMVbdmOJ7u5ujYyMqLW1VU1NTZKkbDarrq4uWpxjYeeG3Junpvfpsb0chQIAAEB5WVGL84GBAfX19SmZTMowDIVCIabyYXHnnpEk2Y6hZ+0H9c8JUQAAACgzKwpRkmSapqLRqMbGxtTQ0LAaNWGjuvy6dOH7kqRvO22aqg9o/y7T25oAAACAEhV9TtTLL7+sL33pS3OWf/nLX9aePXvU1NSkHTt26I//+I9XtUBsILNam3/87p2qqV72aXkAAACAJ4r+Btvd3a1UKlWw7Fvf+pai0agefvhhDQ8Pa2BgQJ/73Of013/916teKDaAs3nnQ9n7dJCpfAAAAChDRU/nS6fTGhwcLFjW29urtrY2nTx5UpL08MMPS5J++7d/W5/5zGdWsUyUvanrkjXT2vySs13fcYL6IiEKAAAAZajoI1GWZSkYDBYsSyQSikajBcvC4bDS6fTqVIeN47UXpOvjkqRn7QfV1tKgO8zNHhcFAAAAlK7oEBUKhfStb33Lvf/MMzNd1o4cOVKwnmVZMk1zdarDxlFwPtR+WpsDAACgbBU9nS93cV1JamxsVCwWUzgc1v79+wvWGxoaUiQSWdUisQHcCFG2Y+ir9kP6fUIUAAAAylRJISqbzeqJJ56QJEUiEcXj8YJ1zp8/r/7+fiWTyfk2gUo19qb0zkuSpO84rXq/xtSHWwMeFwUAAAAsT0n9pbu7u2Xbtmzb1tNPP63GxsaCx1tbW5VKpfT444+vapEoc3lT+U7b+/Xh4A7V11Z7WBAAAACwfKt+kZ5chz7Ald/afHof50MBAACgrHGlU6yt6UnJOiVJGnW26dtOmx7bu9PbmgAAAIAVIERhbb1+RpoYkzTT2vzWxi1qa97mcVEAAADA8hGisLZmT+W7p1mGYXhYEAAAALAyhCisrXM3Q9RX7X06uIfzoQAAAFDeCFFYO+NvS29/V5L0HbtVo1WmHrmb86EAAABQ3ooOUS+//LK+/OUva2xszF32pS99aU2KwgaR19r8lL1PD+8y1bi51sOCAAAAgJUrKkQ988wzCgaDikajCofDkqTLly8rFoutaXEoc3nnQ52mtTkAAAA2iKJC1Oc//3n19fXJtm319va6R6Acx1nT4lDGpqck6x8lSZedLXrRuVsHCVEAAADYAIoKUalUSp2dnZKkaDSq4eFhjY6O0mUNC3tjWLp2WZL0rP2QGrbU64E7Gj0uCgAAAFi5okJUMBjU5cuX3fs9PT3q7u5es6KwAeS3Nrf36dE9zaquInQDAACg/BUVor7whS8oGo26TSVaW1vV2trKdD4s7Fzh+VBM5QMAAMBGUVSIikajevrpp9XQ0OAu6+vrUyqVWrPCUMbG35He+rYk6SX7Ll2UqYN7aG0OAACAjaHoFuetra0aGxvTl770JbexxMMPPzxnvRdffFGf/vSnV69ClJ+RZ9ybp+2HdN9tDWppqPewIAAAAGD1FB2iLl++rFAopO7ubnV3d2vv3r0F14x6+eWXdeTIEYVCoTUpFGUk/3yo6f20NgcAAMCGUnSI6u3tVSgUUiaTUSaT0b59+/SFL3xBY2Nj+uxnP6tgMKhsNqtUKqV/+Id/WMua4Wf2tDTyFUnSmLNFaWePDu5lKh8AAAA2jppiV/yrv/orDQ3dPMLQ39+vtrY29fX1KRKJKJVKzTu9DxXmjZR0LStJetZ+QHWbNql9d8DbmgAAAIBVVHSIsixLd911l3u/tbVVkjQ8PEx4wk0Frc3365G9O7SppugDngAAAIDvFf3ttrFx7oVSDcMgQKEQrc0BAACwwRUdogyDC6ViCe9dlN78liTp+/ZuXVATTSUAAACw4RQ9nW90dFQ7duwoWOY4zpxlOZcuXVpZZSg/s1qb796xRbt3bPWwIAAAAGD1FR2i+vr61rIObATnku5NWpsDAABgoyo6RH3uc59byzpQ7uxp6dzMkagxZ7NSzh4d3UOIAgAAwMZD2zSsjje/JV3NSJK+Zj8go7pWH22bf6onAAAAUM4IUVgds1qbt+8OaGtd0Qc6AQAAgLJBiMLqKGht/hCtzQEAALBhEaKwcu+/K72RliT90N6lt7WDphIAAADYsAhRWLmRr0hyJEmn7H1q3l6n+27b7m1NAAAAwBohRGHl8lqbn7b36eCeZi7ODAAAgA2LEIWVsW23tfl7Tr2G7Xt0cO9Oj4sCAAAA1g4hCivz1rekK+9KmmltPmXU6FGuDwUAAIANzNMe1JZlKZFIKBgMyrIsdXV1yTTNBddNJpMKBAKyLEvRaFTBYFCSlE7PNDUIhUKyLEvZbFahUGi9XkZlO3tzKt8pe58euqNRga2bPCwIAAAAWFuehqjOzk6lUilJMyHp6NGjisfj866bSCTU3d3t3o/FYhoYGJAkDQwMaHBwUJIUiUQW3AbWQEFr832K0pUPAAAAG5xn0/ksyyq4HwwGlUwmF1hbOnHixIKPhcNhjY6OanR0VENDQwsezcIqu5KRXh+WJP3YvkNvaifXhwIAAMCG51mIyk3NyxcIBNypebMFAgGFw2F3Wl9HR0fB46ZpEp7WW0Fr8/3aXl+j/btMT0sCAAAA1ppn0/my2ey8yzOZzLzL4/G4Dh06pLa2NnV1dblT+XLbSiQSkqQzZ84oFou550vNNjExoYmJCff+2NiYJMm2bdm2vZyXsmps25bjOJ7XUSzj7JByjcxP2fv0sbYdqjJUNvUXo9zGZKNjPPyHMfEXxsN/GBP/YUz8xW/jUWwdnp4TNZ+FwlUymVRfX58sy1IsFpMkN0jlN6QIBoPq6OjQyMjIvNvp7e3VU089NWf5xYsXde3atZW/gBWwbVuXL1+W4ziqqvJ540THVvPZIVVLet+p07B9j568tU4XLlzwurJVVVZjUgEYD/9hTPyF8fAfxsR/GBN/8dt4jI+PF7WeZyHKNM05R50ymcy8U/Isy9KZM2fU19cnaaZ5RDgcVk9Pj9vZL9eNL3ffsqx5j0YdO3ZMTz75pHt/bGxMu3btUnNzsxoaGlbxFZbOtm0ZhqHm5mZffIgW9eaLqrp6SZL0dfsBXVetfjocVIu52ePCVldZjUkFYDz8hzHxF8bDfxgT/2FM/MVv41FfX1/Uep6FqEgkUjAlL6e9vX3OsnQ6rQMHDrj3g8Ggjh07pmw2q3Q6rUOHDml0dLTgObPPt8qpq6tTXV3dnOVVVVW+GDjDMHxTy6JGnnFvnrL36e6WbdoV2OphQWunbMakQjAe/sOY+Avj4T+Mif8wJv7ip/EotgbPKp19lMiyLLW3t7tHotLptNvBLxQK6cyZMwXrX7p0SaFQSMFg0D1CJc1M+4tGozSZWGv5rc3tfXqMrnwAAACoEJ6eExWPx9XT06MDBw7ozJkzBdd36u3t1YEDB9Td3e2e59Tf3++Go9x5UaZpqr293X1sZGSE60Sttauj0uszofacfbted5ppbQ4AAICK4WmIyj+KFI1GCx6bHYQikYgikci82wmFQu45UVgHI/8oOTOdS07Z+1RXU6UPt84/fRIAAADYaLyfeIjyc+7mRZFP2fv14eAO1ddWe1gQAAAAsH4IUSiNbbsh6opTp2/a9+rgnp0eFwUAAACsH0IUSvPOd6X33pEkfd2+X9dVq0/cw/lQAAAAqByEKJTmbGFXvtsb69XWvM3DggAAAID1RYhCac4VXh/qsXuaZRiGhwUBAAAA64sQheJdzUqvvSBJGrFv02vOLTq4h6l8AAAAqCyEKBTPOiU505JmpvJVVxl65G6aSgAAAKCyEKJQvHM3z4c6Ze/Tw7tMNW6u9bAgAAAAYP0RolAcx3HPh7rqbNIL9n06uJepfAAAAKg8hCgU552XpPG3JEnP2/dpQpv0GCEKAAAAFYgQheKczZ/Kt19NW2r1wB2NHhYEAAAAeIMQheLMam3+6J5mVVfR2hwAAACVhxCFpV0bk157XpJ03r5Frzi3cj4UAAAAKhYhCkuzTkn2lKSZqXySdHAPrc0BAABQmQhRWFpea/PT9j7dd1uDWhrqPSwIAAAA8A4hCotzHOlsUpJ0zanVN+z7dXAvR6EAAABQuQhRWNyF70vjb0qSXqC1OQAAAECIwhLOJd2bp+x92rKpWu27Ax4WBAAAAHiLEIXFzbo+1CNtO7Spho8NAAAAKhffhrGwiXHp1ZnW5q/YLTpPa3MAAACAEIVFWKcle1LSzFQ+yeB8KAAAAFQ8QhQWdq5wKt/uHVu0e8dWDwsCAAAAvEeIwvzyWptPODV63r5PB/dwFAoAAAAgRGF+F38kjb0uaaa1+VXVM5UPAAAAECEKC8mbynfa3qfaakMfbdvhYUEAAACAPxCiML+C1ub71L47oK11NR4WBAAAAPgDIQpzTbwnvfoNSdJrdrNGnNtpbQ4AAADcQIjCXOe/Kk1fl0RrcwAAAGA2QhTmmnU+VPP2Ot1323YPCwIAAAD8gxCFQo4jnbvZ2vzr9gd1cE+zDMPwuDAAAADAHwhRKPTuWSn7qiTpjH2PrqheB/fu9LgoAAAAwD8IUSh0Lr8r334ZhvQoF9kFAAAAXIQoFJrV2vyhOxoV2LrJw4IAAAAAfyFE4abr70uvfE2S9LqzU+ecO2htDgAAAMxCiMJN5591W5ufnqa1OQAAADAfQhRuKmht/pC219do/y7Tu3oAAAAAHyJEYYbjuOdDXXeq9TX7AX387p2qqeYjAgAAAOTjGzJmXBqRsq9Ikobte/S+NnM+FAAAADAPQhRmnCvsyieJEAUAAADMgxCFGWcLrw91d8s23WFu9rAgAAAAwJ8IUZCuX5Fefk6S9KYT0I+dO3WQC+wCAAAA8yJEYSZATU9Iymttfg8hCgAAAJgPIQrSuaR785S9T3U1Vfpwa8DDggAAAAD/IkTBbSoxeaO1+YeDO1RfW+1xUQAAAIA/EaIq3aURKWNJklLOXr2nLTq4Z6fHRQEAAAD+RYiqdPlT+aZnWpt/gvOhAAAAgAURoirdrNbmtzfWq615m4cFAQAAAP5GiKpkk1ell5+VJL3tNOmHzi4d3NsswzA8LgwAAADwL0JUJXvla9LUNUl5rc33MpUPAAAAWAwhqpKdLWxtXl1l6JG7aSoBAAAALIYQVclutDafcqr0NfsBPbzLVOPmWo+LAgAAAPyNEFWpMuelS+ckzbQ2H9NWHWQqHwAAALAkQlSlymttfvpGa3POhwIAAACWRoiqVAWtzfepaUutHrij0cOCAAAAgPJAiKpEk9ek81+VJF1wTH3f2a2P72lWdRWtzQEAAIClEKIq0atfl6auSpJOTz8kWpsDAAAAxSNEVaKC1ub7JUkH99DaHAAAACgGIaoS3WhtPu0YetZ+QPfd1qCWhnqPiwIAAADKAyGq0oy+Ir37Y0lS2tmjMW3Twb0chQIAAACKRYiqNOfyuvJN75dEa3MAAACgFISoSpN3PtRp+yFt2VSt9t0BDwsCAAAAygshqpJMTbitzS86Dfqec5c+GtyhTTV8DAAAAIBi8e25krz6DWnyfUnSV+19clSlx+5hKh8AAABQCkJUJTmbfz7UPknSwT2EKAAAAKAUhKhKcm7mfKhpx9BX7Ye0e8cW3bVzq8dFAQAAAOWFEFUpsq9JF38oSXrRuVuXtY2jUAAAAMAyEKIqRV5r89M3pvLR2hwAAAAoHSGqUpx7xr15yt6n2mpDH23b4WFBAAAAQHkiRFWCqeuSdUqS9K7ToO86rWrfHdDWuhpv6wIAAADKECGqErz2vHT9PUnSV+2H5KhKB5nKBwAAACwLIaoSzNfafO9Or6oBAAAAyhohqhLcaG1uO4aetR9U8/Y63X9bg8dFAQAAAOWJELXRXX5duvB9SdK3nTaNqkGP7tkpwzA8LgwAAAAoT4SojS6vK99p+yFJtDYHAAAAVsLT9myWZSmRSCgYDMqyLHV1dck0zQXXTSaTCgQCsixL0WhUwWCw5O1UnHP550Ptl2FIj3KRXQAAAGDZPA1RnZ2dSqVSkmaC0NGjRxWPx+ddN5FIqLu7270fi8U0MDBQ8nYqyvSkZJ2WJGWcbfqOE9RDdzYqsHWTx4UBAAAA5cuz6XyWZRXcDwaDSiaTC65/4sSJVdlORXntBWliTNJMa3Ob1uYAAADAinkWonJT8/IFAgGl0+l51w8EAgqHw+60vo6OjmVtp6KcLZzKJ4kQBQAAAKyQZ9P5stnsvMszmcy8y+PxuA4dOqS2tjZ1dXW5U/lK3c7ExIQmJibc+2NjM0dqbNuWbdtFVr82bNuW4zirVodxbkiGJFuGvmo/pO31Ndp3R4Pnr7OcrPaYYGUYD/9hTPyF8fAfxsR/GBN/8dt4FFuHp+dEzWehUJRMJtXX1yfLshSLxSTJDVKlbKe3t1dPPfXUnOUXL17UtWvXSq53Ndm2rcuXL8txHFVVrewgYdV776jlne9Jkr5rtyqjBn3izm3KXHp3NUqtGKs5Jlg5xsN/GBN/YTz8hzHxH8bEX/w2HuPj40Wt51mIMk1zztGiTCYzb1c9y7J05swZ9fX1SZIikYjC4bB6enpK2o4kHTt2TE8++aR7f2xsTLt27VJzc7MaGry9AK1t2zIMQ83NzSv/EL3xtHvzlL1PkvSpB+9US0vLyrZbYVZ1TLBijIf/MCb+wnj4D2PiP4yJv/htPOrr64taz7MQFYlE5j2S1N7ePmdZOp3WgQMH3PvBYFDHjh1TNpstaTuSVFdXp7q6ujnLq6qqfDFwhmGsTi0jN5trnJ6eCVGP3dPii9dYblZtTLAqGA//YUz8hfHwH8bEfxgTf/HTeBRbg2eV5q7xlGNZltrb290jSOl02u28FwqFdObMmYL1L126pFAotOR2KtL0lDRySpI06mzTi87durtlm+4wN3tbFwAAALABeHpOVDweV09Pjw4cOKAzZ84UXNupt7dXBw4cUHd3t4LBoDo6OtTf3++Go9x5UUttpyK9/k1p4rIk6Vn7wZnW5lxgFwAAAFgVnoaoYDDonucUjUYLHpsdhCKRiCKRSMnbqUgFrc1zU/kIUQAAAMBq8H7iIVbfuZsh6qv2PtXVVOnDrYFFngAAAACgWISojWb8bent70qSvmvfpXfVqA+1BlRfW+1xYQAAAMDGQIjaaM494948Ze+XJD22l6l8AAAAwGohRG005+Y5H4oQBQAAAKwaQtRGMj0ljXxFknTZ2aoXnbt1e2O97m7Z5nFhAAAAwMZBiNpI3hiWrt1sbT6tah3c2yzDMDwuDAAAANg4CFEbSX5rc5upfAAAAMBaIERtJOeS7s3T0w+pusrQI3fv9LAgAAAAYOMhRG0U712Q3npRkvQ9e7cuqkn7d5lq3FzrbV0AAADABkOI2igKWpszlQ8AAABYK4SojaKgtfl+SdJBQhQAAACw6ghRG4E97bY2H3O2KO3sUdOWWj14R6PHhQEAAAAbDyFqI3gjJV0dlSQ9az+gaVXr43uaVV1Fa3MAAABgtRGiNoK81uanOR8KAAAAWFOEqI2goLX5TIg6uIfW5gAAAMBaIESVu/ffld78liTpB/YH9I4Cuu+2BrU01HtcGAAAALAxEaLK3blnJDmSbrY2P7iXo1AAAADAWiFElbt5Wps/tofzoQAAAIC1QogqZ/a0e5Hd97RZKWePtmyqVviuJo8LAwAAADYuQlQ5e/Nb0tWMJOm56Qc0pRp9NLhDdTXVHhcGAAAAbFyEqHKW15Uvdz7UY/cwlQ8AAABYS4SocnY2/3yoXGtzQhQAAACwlghR5er9S9IbKUnSj5xdels7tHvHFt21c6vHhQEAAAAbGyGqXI18RbnW5v/IUSgAAABg3RCiylVea/PT7vWhCFEAAADAWiNElSPbdlubX1G9hu17VFtt6KNtOzwuDAAAANj4CFHl6K0XpSvvSpKem/6gJlWj8O4mbaur8bYuAAAAoAIQospRQWvz/ZKkx/a2eFQMAAAAUFkIUeVovtbme3d6VQ0AAABQUQhR5eZKRnpjWJJ0zrlTb2qnmrfX6f7bGjwuDAAAAKgMhKhyM/IVybElSV+5cRTq0T07ZRiGl1UBAAAAFYMQVW4KzoeaCVGP0docAAAAWDeEqHKS19r86o3W5oYhPcpFdgEAAIB1Q4gqJ29/R3r/giTpuen7dV21evCORgW2bvK4MAAAAKByEKLKybmbXflOM5UPAAAA8AQhqpycnXt9qIOEKAAAAGBdEaLKxdVR6fVvSpIs3aHXnWZtr6/Rw7tMb+sCAAAAKgwhqlyM/OPN1uZTD0mSPta2UzXVDCEAAACwnvgGXi7yWpu750Pdw1Q+AAAAYL0RosqB47gh6prq9E37XkmcDwUAAAB4gRBVDt7+rvTeO5Kkr0/frwltUlvzVt1hbva4MAAAAKDyEKLKQV5r8390W5u3eFUNAAAAUNEIUeWgoLX5TIg6uHenV9UAAAAAFY0Q5XdXs9JrL0iSXjFu12vOLaqrqdJHgju8rQsAAACoUIQov7NOSc60JOmZyZnW5h9qDai+ttrDogAAAIDKRYjyu/lam9OVDwAAAPAMIcrPHEc694wk6bqxSc/b90kiRAEAAABeIkT52Tvfk8bflCR940Zr89sa63V3yzaPCwMAAAAqFyHKz/Jam39l+uZUPsMwvKoIAAAAqHiEKD+bt7U5U/kAAAAALxGi/OramPTa85Kk143b9Ipzq6qrDH3sbq4PBQAAAHiJEOVX509L9pQkKTn5oCRp/y5TjZtrvawKAAAAqHiEKL86e/N8qFO0NgcAAAB8gxDlR47jXh9q0qjV8/b9kjgfCgAAAPADQpQfXfyBNPaGJOkF+35dU52attTqwTsaPS4MAAAAACHKj87d7Mr3zNRDkqSP72lWdRWtzQEAAACvEaJ8yDiX39p8vyTp4B668gEAAAB+QIjyGeP6e9KrM63N3666ReedWyXRVAIAAADwC0KUz2x643kZ9qQkaWjyIUmG7r11u1oa6r0tDAAAAIAkqcbrAipW9jXpyqXCZY6j+h//jXt3xL5VHzTO64k775hZ39y1vjUCAAAAmIMQ5YXsa9IfhqWpiYLFVZI2593/t7V/MXPjJUk/rJN+PUWQAgAAADzGdD4vXLk0J0AtaWpi7pErAAAAAOuOEAUAAAAAJSBEAQAAAEAJCFEAAAAAUAJCFAAAAACUgBAFAAAAACUgRAEAAABACQhRAAAAAFACQhQAAAAAlIAQBQAAAAAlIEQBAAAAQAkIUV7YskNOdV1JT3Gq66QtO9aoIAAAAADFqvG6gIpk7tLff/K/6w//xzeLfspv/MyH9BPmrjUsCgAAAEAxPA1RlmUpkUgoGAzKsix1dXXJNM15100kEopEIpI0Z510Oi1JCoVCsixL2WxWoVBoLUtfsb89X60fqFW2s/S6VYb0N1a1fuJja18XAAAAgMV5Op2vs7NT3d3dikajikajOnr06KLrNjU1qampSYZhyDAM9ff3S5IGBgYUDodlGIZisZiCweB6vYRly165XlSAkiTbkbJXr69tQQAAAACK4tmRKMuyCu4Hg0Elk8l5181ms4rH44pGo+6y/v5+dXd3S5LC4bBGR0clzT1K5Vfmlk2qMlT0kShz86a1LwoAAADAkjw7EpVMJhUIBAqWBQIBd2rebPkBKpFIFNyXZsJTuQQoSfrUB28p6UjUpx+4ZW0LAgAAAFAUz45EZbPZeZdnMpk5y/LDUTabVSaTKZiyl81mlUgkJElnzpxZdErfxMSEJiYm3PtjY2OSJNu2Zdt2qS9j2X7yg7fo39bXaPzalBbLUoak7fU1+on7b1nX+jDDtm05jsN77xOMh/8wJv7CePgPY+I/jIm/+G08iq3Dd935FgpXOT09Perr6ytYlt+QIhgMqqOjQyMjI/M+v7e3V0899dSc5RcvXtS1a9eWVfNy/R+f2q3u/2dEhjRvkDLy1rs8emkdK0OObdu6fPmyHMdRVRVXBPAa4+E/jIm/MB7+w5j4D2PiL34bj/Hx8aLW8yxEmaY556hTJpNZdEpeNptVMpmcs45lWW43vlynP8uy5j0adezYMT355JPu/bGxMe3atUvNzc1qaGhY/gtahidaWtTY2Kh/E/+Oxq5NuedI5f67vb5Gv9v5kA7dx1Q+r9i2LcMw1Nzc7Isf7ErHePgPY+IvjIf/MCb+w5j4i9/Go76+vqj1PAtRkUhEAwMDc5a3t7cv+Jzh4eF525sfOnTIbSyRM/t8q5y6ujrV1c290G1VVZUnA/epD96mb+5t0f986S39/Utv6+Ll99XcuFU/8cCt+skHblN9bfW614RChmF49vnAXIyH/zAm/sJ4+A9j4j+Mib/4aTyKrcGzEDX7KJFlWWpvb3dDUjqdlmmaBeul0+k54SgYDBZM70smk4pGo2XVZKK+tlqfefhO/fy+23XhwgW1tLT44kMEAAAAYC5Pz4mKx+Pq6enRgQMHdObMGcXjcfex3t5eHThwwG1jnjM7fJmmqfb2dvX398s0TY2MjBRsBwAAAABWk+E4TpGNtjemsbExNTY26vLly+t+TtRstm1zJMpnGBN/YTz8hzHxF8bDfxgT/2FM/MVv41FsNvC+UgAAAAAoI4QoAAAAACgBIQoAAAAASkCIAgAAAIASEKIAAAAAoASEKAAAAAAoASEKAAAAAEpAiAIAAACAEhCiAAAAAKAEhCgAAAAAKEGN1wV4zXEcSdLY2JjHlUi2bWt8fFz19fWqqiLf+gFj4i+Mh/8wJv7CePgPY+I/jIm/+G08cpkglxEWUvEhanx8XJK0a9cujysBAAAA4Afj4+NqbGxc8HHDWSpmbXC2bevNN9/U9u3bZRiGp7WMjY1p165deu2119TQ0OBpLZjBmPgL4+E/jIm/MB7+w5j4D2PiL34bD8dxND4+rttvv33RI2MVfySqqqpKd955p9dlFGhoaPDFhwg3MSb+wnj4D2PiL4yH/zAm/sOY+IufxmOxI1A53k88BAAAAIAyQogCAAAAgBIQonykrq5Ov/Vbv6W6ujqvS8ENjIm/MB7+w5j4C+PhP4yJ/zAm/lKu41HxjSUAAAAAoBQciQIAAACAEhCiAAAAAKAEFd/i3A/S6bSOHj2qVCrldSm4IZ1OK5lMSpLOnDmj48ePyzRNb4uqcLnxyGazOnPmjI4cOaJQKORxVZCknp4eHTt2jJ8Rj6XTaUlSKBSSZVnKZrP8jPhAMpmUZVkKBoOSpEgk4nFFlSuRSLjvP7+v/MGyLCWTSQUCAVmWpWg06v6s+B1HojyWSCQk3fyfH/whmUyqu7tb3d3dOnDggA4dOuR1SRWvs7NTgUBA0WhUbW1t6uzs9LokaOZ3V39/v9dlQNLAwIDC4bAMw1AsFiubLyIbWTKZVDweV1dXl4LBoGKxmNclVbTOzk41NTWpqalJhmHIMAx+f3kskUioq6tL0WhU3d3d6uvr87qkohGiPBaNRvlLoc+k02n19va696PRqNLptCzL8rAqxOPxgp8V/oroD/l/YYe3wuGwRkdHNTo6qqGhIX5GfCAWi7lfCoPBoIaGhjyuqHJls1nF43E5juP+6+vrU3d3t9elVbQTJ054XcKyEaKAWUKhkI4fP+7ez2azkqRAIOBRRZAKp8DE43H+ousDiURC0WjU6zKQxzRNwpNPWJalTCYj0zSVTqeVzWb5g4PH8n9f8fvLHwKBgMLhsDutr6Ojw+uSikaIAuaR/4v1xIkTikQifDHxgXQ6rZ6eHnV0dKirq8vrcipaNpvlZ8JnstmsEomEEomEenp6OHrusXQ6rUAgoEQioWAwqMHBQXcKP9Zf/u+rbDarTCZDqPWBeDwuSWpra1M8Hi+rYMt1onzCMAwxFP6TzWYVDoeVSqX4wugT2WzWDVLl9Mt2oxkcHHSDbFtbGz8jPpAfbNPptDo7OzUyMuJtURVscHBQsVhMo6OjMk1T2WxWTU1N/L/eB3LTLPmd5b1EIiHTNGVZlmKxmLq6ujQwMOB1WUXhSBSwiJ6eHs4t8BnTNNXZ2anOzk53qiXWVzKZ1OHDh70uA7PkH3kKBoOyLIujUR4KBoMF0yvzAy68k81mlUwm+f+6D1iWpTNnzigSiairq0sjIyM6efJk2fzeIkQBC+jv71dPT4+CwaCy2Sxf2D2UTCbV1NTk3s9NwSiXX7Qb0cmTJzU4OKjBwUFZlqXe3l6+HHoonU7P20WUczm9w1QxfxoeHiZA+UQ6ndaBAwfc+8FgUMeOHSub71uEKB8plw9NJUgkEgqFQm6AOnnyJL90PRQIBAoaS6TTaZmmSWdLj+T+apj7J81Mj2E8vBMMBgtaAyeTSUWjUX5veSgYDKq9vd39f3uukyU/J97KnasG74VCIZ05c6Zg2aVLl8rmZ4SL7XosmUy6LU97e3t14MABzvPwmGVZc65BZJomjQw8FAqFdOTIEQ0ODkqShoaGuDi1D2SzWXdM+vr6CFIeMk1T7e3t6u/vl2maGhkZcU/Yhnfi8bh6enrcc2tpce4PHCX0h2AwqI6ODvf3lqSy6rxLYwkAAAAAKAHT+QAAAACgBIQoAAAAACgBIQoAAAAASkCIAgAAAIASEKIAAAAAoASEKAAAAAAoASEKAODq7++XYRhqampSU1OTDMNQW1ub+vv7S9pOR0eHenp61qjKlQuHwyVdj6SY17PQe+fn9wEAsDyEKABAAdM0NTo6qtHRUTmOo3g8rhMnTsy5CHU5O3bs2Jq8nvneu3Q6rba2NlmWter7AwB4gxAFAFhUKBRSPB5XIpFQOp32upxVEY1GFYlE1nw/oVBIQ0NDCgaDJR35AgD4GyEKALCkYDAo0zQ1PDzsdSllaWBgQMlkUslk0utSAACrgBAFAFiSZVnKZrNqb293l/X09KitrU1NTU2LHmWJxWLq6OgoWJZOp2UYhiSps7NT/f39isViampqUltb25ywsdi+Fnp+MplUW1ubDMOYM3Vv9jlOiURC4XDYPY8pkUiU9gYtIRgMKhgMamhoqGB5fs2Dg4Pu8mw2q87OTjU1NSkcDruvPxwOu695cHBQg4ODc96vhba51GMAgOIRogAAi0omk+ro6FA0GlUoFJI08yU+nU5raGhI58+fVyaTmROUcmKxmJLJpLLZrLtsYGBA0WhU0kxg6OnpUWdnp86fP69QKFQQlJba13zP7+zs1MDAgFKplFKplBKJxKKhIZPJ6Pjx43IcRwMDA+4+V1MwGCw4L6qzs1OWZen8+fMaGhpST0+Pu8+enh4FAgGNjo4qFospkUhoZGREqVTKfc0DAwPq6+tTX1+fOzVxsW0u9hgAoDQ1XhcAAPCXbDbrHiWS5Iaa7u5uSTNHkRKJhEZHR2WapiQpHo+rqalJyWRyzrlGoVBIwWBQg4OD7jZOnjyp48ePF6yTe17+kati9zX7+YlEQrFYTKZpKhQKKRQKaWRkZMHX3NXV5d6ORCIKBoNKJpNuaFwtuSBpWVbB6zJNU319fTpx4oRCoZBOnjypZ555xq0tFovJsiwFg0F3W7lAlHtfFtumaZqL7g8AUBpCFACgQK7D3EKGh4fdc6Tytbe3a2hoaN6GDbFYTCdOnFB3d7fS6bSy2ax7JCr33JxAIFDyvuZ7fv6yYDBYcCRsPoODgxoaGpJlWWvSSc+yLPc1544Atba2FqyTX/Ns+e+LNBP28t+Xxba5nP0BABZGiAIAlGSpMDKfrq4u9fT0yLIsnThxoiBASZoTkkrd13zPX2ib8wmHwwoEAurp6VEkEnHPPVotuWCWPw0xFAq50/Nmi0Qi6u3tVTweV39/v0Kh0JzXk39UaqltJhKJRfcHACgN50QBAEoSiUTcRhP5hoeHdeDAgXmfY5qmIpGIksmkO9VurfZVKsuy3HOu1qrteU9PT8GUw1Ao5B6Rm09ueVtbm4aGhtypfYtZbJtL7Q8AUBpCFACgJLkwcOjQITfgdHZ2KhgMzjnClC8WiykejyuTyRQdVpa7r1LkpsnlGk+s5vWwckef0um04vG4uzwYDKqrq8tt9pDbb39/v/u8I0eOaGhoSAMDA0UdVVtsm0vtDwBQGkIUAKBkuaM24XBYra2tCgQCS04Vi0ajGh4e1uHDh9d8X6UwTVPd3d1u++/c/kqZDpiTzWbV1NSkpqYmGYahjo4OBYNBpVKpOdPvBgYGFAqFFA6H1dTUpIGBATdcBoNBdXZ2qq2tbcE27fNZbJuLPQYAKI3hOI7jdREAgMoQDocLWnJjrkQioaNHjxZ03kun0zp06JD6+voKOgkCALzBkSgAwLrIZrOyLIsAtYQzZ87MORIWCoV0+PBhGkMAgE8QogAAayrXzKC3t5ejKEU4cuSI24Aj994lEgmdPHmyqCl9AIC1x3Q+AMCaSiQS6uzspMV2CZLJpPr6+jQ8PCxp5hypY8eOrVozDQDAyhCiAAAAAKAETOcDAAAAgBIQogAAAACgBIQoAAAAACgBIQoAAAAASkCIAgAAAIASEKIAAAAAoASEKAAAAAAoASEKAAAAAEpAiAIAAACAEvz/ATGBmpqhYQQlAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Best polynomial degree: 7\n",
"Best test R² score: 0.999947\n"
]
}
],
"source": [
"from sklearn.model_selection import cross_val_score\n",
"from sklearn.pipeline import Pipeline\n",
"\n",
"from sklearn.model_selection import train_test_split\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
"\n",
"# Test polynomial degrees from 1 to 8\n",
"degrees = range(1, 9)\n",
"train_scores_force = []\n",
"test_scores_force = []\n",
"train_scores_torque = []\n",
"test_scores_torque = []\n",
"\n",
"for degree in degrees:\n",
" pipe = Pipeline([\n",
" ('poly', PolynomialFeatures(degree=degree)),\n",
" ('model', LinearRegression())\n",
" ])\n",
" \n",
" pipe.fit(X_train, y_train)\n",
" \n",
" train_score = pipe.score(X_train, y_train)\n",
" test_score = pipe.score(X_test, y_test)\n",
" \n",
" train_scores_force.append(train_score)\n",
" test_scores_force.append(test_score)\n",
" \n",
" print(f\"Degree {degree}: Train R² = {train_score:.6f}, Test R² = {test_score:.6f}\")\n",
"\n",
"plt.figure(figsize=(10, 6))\n",
"plt.plot(degrees, train_scores_force, 'o-', label='Training Score', linewidth=2, markersize=8)\n",
"plt.plot(degrees, test_scores_force, 's-', label='Test Score', linewidth=2, markersize=8)\n",
"plt.xlabel('Polynomial Degree', fontsize=12)\n",
"plt.ylabel('R² Score', fontsize=12)\n",
"plt.title('Model Performance vs Polynomial Degree', fontsize=14)\n",
"plt.legend(fontsize=11)\n",
"plt.grid(True, alpha=0.3)\n",
"plt.xticks(degrees)\n",
"plt.show()\n",
"\n",
"best_degree = degrees[np.argmax(test_scores_force)]\n",
"print(f\"\\nBest polynomial degree: {best_degree}\")\n",
"print(f\"Best test R² score: {max(test_scores_force):.6f}\")"
]
},
{
"cell_type": "markdown",
"id": "86aaa7f5",
"metadata": {},
"source": [
"### Visualize Best Polynomial Function vs Ansys Data\n",
"\n",
"Plot the continuous polynomial function to check for overfitting/oscillations between data points."
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "8270efa4",
"metadata": {},
"outputs": [],
"source": [
"best_degree = 6 # Degree 7 actually overfits to the data points and struggles to generalize"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "d94aa4c1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using polynomial degree: 6\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Checking for overfitting indicators:\n",
"Number of actual data points in this condition: 13\n",
"Gap spacing: 1.50 mm average\n",
"Polynomial curve resolution: 500 points over 25.0 mm range\n"
]
}
],
"source": [
"# The following was written by AI - see [5]\n",
"# Train best degree polynomial on full dataset\n",
"poly_best = PolynomialFeatures(degree=best_degree)\n",
"X_poly_best = poly_best.fit_transform(X)\n",
"model_best = LinearRegression()\n",
"model_best.fit(X_poly_best, y)\n",
"\n",
"print(f\"Using polynomial degree: {best_degree}\")\n",
"\n",
"# Select a specific operating condition to visualize\n",
"# Using the same condition as earlier: -15A, -15A, 0° roll\n",
"test_condition = magDf.iloc[0:13].copy()\n",
"currL_val = test_condition['currL [A]'].iloc[0]\n",
"currR_val = test_condition['currR [A]'].iloc[0]\n",
"roll_val = test_condition['rollDeg [deg]'].iloc[0]\n",
"\n",
"# Create very fine grid for gap heights to see polynomial behavior between points\n",
"gap_very_fine = np.linspace(5, 30, 500) # 500 points for smooth curve\n",
"X_fine = pd.DataFrame({\n",
" 'currL [A]': [currL_val] * 500,\n",
" 'currR [A]': [currR_val] * 500,\n",
" 'rollDeg [deg]': [roll_val] * 500,\n",
" 'invGap': 1/gap_very_fine # Use inverse gap height for modeling\n",
"})\n",
"X_fine_poly = poly_best.transform(X_fine)\n",
"y_fine_pred = model_best.predict(X_fine_poly)\n",
"\n",
"# Extract actual Ansys data for this condition\n",
"gap_actual = test_condition['GapHeight [mm]'].values\n",
"force_actual = test_condition['YokeForce.Force_z [newton]'].values\n",
"\n",
"# Plot\n",
"fig, ax = plt.subplots(1, 1, figsize=(12, 7))\n",
"\n",
"ax.plot(gap_very_fine, y_fine_pred[:, 0], '-', linewidth=2.5, \n",
" label=f'Degree {best_degree} Polynomial Function', color='#2ca02c', alpha=0.8)\n",
"\n",
"# Plot actual Ansys data points\n",
"ax.scatter(gap_actual, force_actual, s=120, marker='o', \n",
" color='#d62728', edgecolors='black', linewidths=1.5,\n",
" label='Ansys Simulation Data', zorder=5)\n",
"\n",
"ax.set_ylabel('Force (N)', fontsize=13)\n",
"ax.set_title(f'Degree {best_degree} Polynomial vs Ansys Data (currL={currL_val}A, currR={currR_val}A, roll={roll_val}°)', \n",
" fontsize=14, fontweight='bold')\n",
"ax.legend(fontsize=12, loc='best')\n",
"ax.grid(True, alpha=0.3)\n",
"\n",
"# Add vertical lines at data points to highlight gaps\n",
"for gap_point in gap_actual:\n",
" ax.axvline(gap_point, color='gray', linestyle=':', alpha=0.3, linewidth=0.8)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"# Check for excessive oscillations by looking at derivative\n",
"print(\"Checking for overfitting indicators:\")\n",
"print(f\"Number of actual data points in this condition: {len(gap_actual)}\")\n",
"\n",
"print(f\"Gap spacing: {np.diff(gap_actual).mean():.2f} mm average\")\n",
"print(f\"Polynomial curve resolution: 500 points over {gap_very_fine.max() - gap_very_fine.min():.1f} mm range\")"
]
},
{
"cell_type": "markdown",
"id": "8e4487e0",
"metadata": {},
"source": [
"### Compare Multiple Conditions Side-by-Side\n",
"\n",
"Let's check several different operating conditions to ensure consistent behavior."
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "74d6e98f",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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GwLbHqVi5WCzmxmKxirWj2Pttbtd25WdmZtxoNOrl29DQkDs2NubGYrGC+BerWxLzXLmhoaEtPx8YGNg2Z4rVE4/HXQBuOBx2e3t73ampKXdgYKCs3J6amvLinStb7PW5n01MTHjHabvfz2J1Bf3d2Pw+4XDYO2YDAwNFf1fKbXe57Sz1u1BuLrmuLPb3y/tyz3V+jYyMeP3K5drAwMC2x7iSv8NTU1NuLBZzAXgxisfj7sDAwH3fz098K9n2hYUFd2hoyItXrv5i504iIiIiGzmu67qVXighIiIi2imSySS6u7sxNjZW8E363M2Yh4eHtzxH/qRSKXR1dWFhYUF8s24y3/j4OAYHBzEzMyP61n+t1Gu7/eK5joiIiIhMwXtqEBEREQWQu5zV5uv9526EC/A650GNjY2ht7eXCxpENcRzHRERERGZgvfUICIiIgogdy357u5uDA4OetfEv3jxIsbGxrybA5M/qVTK+yPq6Oho1e97QUSl8VxHRERERKbgTg0iIiKiAMLhMGZmZjA4OIhz5855N70dGRlBb28vLl26ZPUlaaolnU6jr68PfX19GBkZ4Q1wiWqM5zoiIiIiMgXvqUFERERERERERERERHWBOzWIiIiIiIiIiIiIiKgucFGDiIiIiIiIiIiIiIjqAhc1iIiIiIiIiIiIiIioLnBRg4iIiIiIiIiIiIiI6gIXNYiIiIiIiIiIiIiIqC5wUYOIiIiIiIiIiIiIiOoCFzWIiIiIiIiIiIiIiKgucFGDiIiIiIiIiIiIiIjqAhc1iIiIiIiIiIiIiIioLnBRg4iIiIiIiIiIiIiI6gIXNYiIiIiIiIiIiIiIqC5wUYOIiIiIiIiIiIiIiOoCFzWIiIiIiIiIiIiIiKgucFGDiIiIiIiIiIiIiIjqAhc1iIiIiIiIiIiIiIioLnBRg4iIiIiIiIiIiIiI6gIXNYiIiIiIiIiIiIiIqC5wUYOIiIiIiIiIiIiIiOoCFzWIiIiIiIiIiIiIiKgucFGDiIiIiIiIiIiIiIjqAhc1iIiIiIiIiIiIiIioLnBRg4iIiIiIiIiIiIiI6gIXNYiIiIiIiIiIiIiIqC5wUYOIiIiIiIiIiIiIiOoCFzWIiIiIiIiIiIiIiKgucFGDiIiIiIiIiIiIiIjqAhc1iIiIiIiIiIiIiIioLnBRg4iIiIiIiIiIiIiI6gIXNYiIiIiIiIiIiIiIqC5wUYOISGB4eBjt7e21boZvw8PDcBwHiUSi1k0py+joKBzHQXt7O9rb2+E4Drq6ujA8PIx0Ol3r5pVU61j39fVheHi46GMt4+Pj6O/vR39/v3rdRERERPWC8wsdnF/IcX5BRCbhogYRUZ2YnJxEX1/flp/39/fDcZyC/7Z7HZAdAEajUUxMTFS7uRUTDoexsLCAhYUFuK6LqakppFIpdHd3V23isVNjHVRfXx8cxyn42fT0NCYmJjA4OIjJyckatYyIiIiINtupY16T5hdAdqGlq6sL7e3tGBwcLPoe9RjroDi/IKJiuKhBRGS43Le2hoeHkUqltn3N0NAQXNf1/puamtrymmQyiUgkguHhYZw/f77aza6a3EB+fn6+4v1grOUmJycxPz+/5efz8/NIp9OYmppCNBqtQcuIiIiIKB/HvIVqOb8YHx/H2NgYpqamMD09jYsXL267+8GWWPvB+QURlcJFDSIiw42MjGBhYaHk1t6Ojo77vs/Y2Bh6e3vR29uLdDpdN1vENTHWcsPDwzh9+vSWn4+MjGB4eBh9fX2IxWI1aBkRERER5eOYV8/9Yj08PIyxsTFEo1FEo1GcPXsWo6OjW163E2PN+QURlcJFDSKySm7rruM46O7u9gZ7m6/3mUwmC7ax9vf3Y3x8HOPj4+jq6vLKFft5PTp//jz6+/u9AfPY2Jj4vWoZ51Qqhf7+fkQiEQwMDIj7UE2VjHWp2AwPD5e1Vb3aRkdHEY1Gt51U5Prf29tbg5YRERERBcP5RXGcXwSTSqWQTqcLxsm58fTm9nJ+cQ/nF0QEAI21bgARUaUMDg7i4sWLmJiYQDQaxcWLF8u+Jmo6ncbY2BjS6TRGRka8AVKxn5tmamoKY2NjmJ+fx8mTJ7cMchOJRMGAOR6Pb/sNoHJoxzmdTm+5jurQ0BDOnj0ran9QmrEGisemv7/f23YdiURw6tQp9PX1bXtpgGpKp9MYHh7GzMyMar1ERERE1cb5BecX1VTs0l/RaLTgOc4viIi24qIGEVkhnU5jfHwcMzMz3nU1/U4QUqkULl26hHA4XNbP76fcb7Z0d3cH/kbQxYsX8fzzzyMajeLEiRPo7+8vuIHc5m+yPP300xgdHcXk5CTi8XjZ9dQizrkb+QHZb2Z1d3fj9OnTBa+zMdb5NscmmUxicnISCwsL3s8mJibQ3t6ORCJR1jGpVMxOnTqFgYGBLZMvIiIionrG+QXnF+WoRKzvh/MLIqKtuKhBRFZIJBIIh8OBbhTW29u77cSi2M/vJ8iWYD9GRkYQiUS8No6MjKCvrw/pdNr72eTkZEF7YrEYwuEwxsbGfA2Eax3nWCyG3t5e79qzOTbGOt/m2Fy8eBHRaHRLvHp6ejA1NVXWpKMSMUskEkgkErh06VLg9yIiIiIySa3Hvduxccxb6zjXen5RTCQS8f7N+QUR0Va8pwYR0c8UG0gHGWD70d3dDcdxvP/K3VK8efCZa2/uWy2Tk5MAstdHbW9v9/7L3WCu3K3dlRI0ziMjIxgfHw/0rZ16i/Xm2GgfM2D7mE1NTSGdTqO9vR2O46CrqwsA4DgO+vv71dtIREREZBLOL3TU6/wi177N8UqlUgWLRwDnF5xfENFm3KlBRFaIxWJIp9NIpVJlDV7n5+er3ia/22+np6dF9WzuczKZBHBvoJr7Bk/+dvHc67q7u3H+/Pmyt0ybEOf8b1Pl+mRjrEvJ9T//23JA9htW5caiUjEbGRnx/p3rp+u6Zb03ERERkalMGPduZuOY14Q412p+kVs8SiQS3o6LXKxzOyM4v+D8goi2x0UNIrJCNBrFwMCAd63XSCSCRCKBCxcuYGRkBNFo1BsgplIpDA8PV71NGluWU6kUuru7cfbsWcTjca9vAwMDCIfD3jd4tru5WywWQywWw9jYmDcQTqVSSCaTRbcxmxLnkZERdHd3I5lMen2oNu1Yl5KbeJ04ccI7DqdOnUI0Gi37/Wq9pZ6IiIjIZKaMe/PZOOY1Jc61mF/k6h0eHkYsFvPG9ENDQwDA+QURUQm8/BQRWSN3A7W+vj60t7djbGwMTz/9NIDst0YuXryI9vZ2DA4OYnBwMPC273Q6XbBdNvdfpbfujo+Pw3EcDA4OIpVKFWzDjUajmJiYwJkzZ+A4Dvr6+jA4OOgNKM+fP49oNFr0GqiDg4NIJpNemxOJBE6dOlWyPdpx3k7+t6kqybRYl5K7tm13dzeOHTuGSCQi/jYeEREREW3F+QXnF0GVijUADAwMYHBwEH19feju7kZvb6+3U4HzCyKi4hyXe7iIiOhn0uk0+vv7t/02EFUWY01EREREtuOYVw9jTUQ7CXdqEBGRJ5FI8AZsShhrIiIiIrIdx7x6GGsi2km4U4OIiIiIiIiIiIiIiOoCd2oQEREREREREREREVFd4KIGERERERERERERERHVBS5qEBERERERERERERFRXeCiBhERERERERERERER1YXGWjdAWyaTweXLl7F//344jlPr5hARERER1S3XdbG8vIwHHngAodDO/b4U5xhERERERMGVO7/YcYsaly9fxtGjR2vdDCIiIiIia7z++ut46KGHat2MmuEcg4iIiIiocu43v9hxixr79+8HkA1Ma2trTdqQyWRw/fp1dHZ27uhvtFEW84HyMR8oH/OB8jEfKJ8p+bC0tISjR496Y+ydinMMMg3zgfIxHygf84HyMR8onwn5UO78YsctauS2g7e2ttZ0wnHnzh20trZWPUFc18Xdu3exa9cuK7bCa/ZHq66NjQ0sLS1h//79aGhoqGr7TC4jZVuOS/OBsmzLB35e1Aet2GnmA5nPtHzY6eeNnTTHsPHzQqtPmrGTjClNnyvYeJy0cI4hZ2M+8POiPnCOQbVgUj7cL++ZrTvA4uJirZtQUZr90arr5s2bonKS9plcRsq2HJfmA2XZlg+aGDs5xo6IdhIbz3lafdKMnWRMafpcwcbjpIVzDDkb80ELYxcM40dU3I7bqbHTOI6DgwcP1roZFaPZH626HMdBJBLxvfIuaZ/JZaRszHFJPlCWbfmgibGTY+yIaCex8ZynOe7XHCP7HVOaPlew8Thp4RxDzsZ80MLYBcP4EZXGnRqWc10Xt2/fhuu6tW5KRWj2R6su13Wxurrqux5J+0wuI2VjjkvygbJsywdNjJ0cY0dEO4mN5zzNcb/mGNnvmNL0uYKNx0kL5xhyNuaDFsYuGMaPqDTu1NgBVlZWsHv37lo3o2I0+6NV161bt0TlJO0zuYyUbTkuzQfKsi0fNDF2cpWI3cbGBtbW1oo+n8lksLa2hjt37tT8+qZUe1r50NTUxOuv0xY2fl5o9UkzdpIxpelzBRuPkxbOMeRszActjF0wQeN3v/kFwDkGFdLIh0rNL7ioYTnHcXDgwIFaN6NiNPujVZfjOGhvbxddfspv+0wuI2VjjkvygbJsywdNjJ1c0Ni5rourV68inU7f93WZTAbLy8s8R5BqPoTDYRw+fJh5RwDs/LzQHPdrjpH9jilNnyvYeJy0cI4hZ2M+aGHsggkSv3LnF7nXco5BOVr5UIn5BRc1LJfbrrZnzx4rTk6a/dGqK+j2az/tM7mMlK05zi2mMrblgybGTi5o7HITjoMHD2Lv3r1F38N1Xayvr6OxsZHHiFTywXVd3Lp1C7OzswCAI0eOVKUeqi82fl5oj/s1x8iSy0KZOlew8Thp4RxDzsZ80MLYBRMkfuXOL3L1cI5BOdXOh0rOL7iosQPkToK20OyPVl13794VlZO0z+QyUrbluDQfKMu2fNDE2MlJY7exseFNODo6Okq+lhMOyqeVD7m8np2dxcGDB3kpKgJg5+eFVp80YycZU5o+V7DxOGnhHEPOxnzQwtgFI4mfn/kFwDkGFdLIh0rNL7ioYTnHcco6idULzf5o1eU4Dtra2kSXn/LbPpPLSNmY45J8oCzb8kETYycXJHa5a9zu3bu3kk0iqqhcfq6trXFRg6z8vNAc92uOkf2OKU2fK9h4nLRwjiFnYz5oYeyCkcaP8wuqB5WYX/AOMJZzXRc3b960ZpupZn+06sptvZJcfspv+0wuI2VjjkvygbJsywdNjJ1cJWLHPzJQJSWTyYq+H/OT8tn4eaE57tccI/sdU5o+V7DxOGnhHEPOxnzQwtgFEzR+HL9RpVVyjlGJ/OSixg6QW6W1hWZ/tOpaX18XlZO0z+QyUrbluDQfKMu2fNDE2MntpNj19/ejvb0d3d3d6O7uRldXFwYHB2vdrIrZrn/Dw8NllW1vb0cqlapyC++vu7u7rEmHKe2l+mPjOU+rT5qxk4wpTZ8r2HictHCOIWdjPmhh7ILZSfHjHKM4U8bsps0xuKhhOcdx0N7ebs0KrWZ/tOpyHAetra2iy0/5bZ/JZaRszHFJPlCWbfmgibGT24mxGxgYwPT0NKanpzEzM4NwOIyurq5aN6uo0dFRX5OHzf1LpVJ1NalyXRexWKzWzSBL2XjO0xz3a46R/Y4pTZ8r2HictHCOIWdjPmhh7ILZifHjHMNsps0xuKhhOdd1sby8bM12P83+aNXlui5WVlZE26/9ts/kMlI25rgkHyjLtnzQxNjJMXbAyMgIotFo2d820jQ4OIi5uTlv8jAyMuL7PUZGRnD+/PkqtI6o/th4ztMc92uOkf2OKU2fK9h4nLRwjiFnYz5oYeyCYfw4x6DSuKixA2xsbNS6CRWl2R+tujKZjKicpH0ml5GyLcel+UBZtuWDJsZOjrEDhoeHMT4+7j1OpVLbfnMpkUigq6sL3d3dGBwcRF9fn/d8bktzf38/RkdHS75PsZ/nS6VSOH/+PDo6OrzXSq4Fm06nC96zr68PXV1d6OvrK3guZ3Bw0Gt/rnx7ezsAoKurC+Pj4+jr60N7ezsmJyfLeu/N5cbHx/Hss8+ip6cH7e3tSCQS3mvzt3wPDw+jq6vL1xZ3ovux8Zyn1SfN2EnGlKbPFWw8Tlo4x5CzMR+0MHbBMH6cY+TjHKNQY01qJTWO4yAcDte6GRWj2R+tuhzHwf79+0Xbr/22z+QyUjbmuCQfKMu2fNDE2MlVMna31m7hteXXtn3OdV1sbGygoaGhaueIh/c/jL1Ne0Vle3p6kE6nkU6nEQ6H0d3djeeffx6xWAz9/f1IJBLo7e1Ff38/Ll26BAA4duwYLl265MUvnU6jv78fIyMjiMfjAFD0fYr9PF8ymUQ6nUY0GsX09DTGx8fR39+PmZmZsvuVmwCdPn16S3sSiQS6u7u3vN/g4CD6+/sxNDQEADh//jxOnjwJAJifn8fU1BSmpqYwOTmJ4eHhbfu6+b03l+vv78f/+X/+n7h48SJ+//d/H2NjY1v6DwDHjx/3vjnW3t6Ovr6+bV9HVC4bPy80x/2aY2S/Y0rT5wo2HictnGPI2ZgPWhi7YDjHyOIc4x7OMQpxUcNyue1qtgxgNPujVZfrurh58yY6Ozt9l/PbPpPLSNmY45J8oCzb8kETYydXydi9tvwa/rdv/W8l66rm8Xnm/c/g5yI/F/h9Jicn0dPT411z9fTp0xgbG0NPTw8ikYg3wejp6UEqlSq4Nuvg4KA3AC/2Pul0etufbx5Iz8/PIxwOe+83MDCA4eFhpFIpRKPRou0fHx/3vpUUiUS8CdD4+Dh6e3u9ent7exEOh7dMdnLPJ5NJxGIxjI2N4ezZs97zTz/9tFc+922nct47vxwAfPKTn/TqGxsb27Yvub4DwMmTJ5FMJrmoQYHY+HmhOe7XHCP7HVOaPlew8Thp4RxDzsZ80MLYBcM5xlacY3COkY+LGkREREQUWG7gHA6HkUqlvK3bObkBNADvm1bbDfzzB8PF3qfYzzeLRCJb3j8Sidx3wjEwMLDtdXFnZma2lItGo17f8w0ODmJsbAwjIyNIp9MFk6rt6i7nvXPP5+KYexyJRIr2JZ1OY3x8HDMzM0gkEvzGJBERERHVDc4xCnGOcQ8XNSznOA5aW1tr3YyK0eyPVl2O46ClpUV0+Sm/7TO5jJSNOS7JB8qyLR80MXZyjF3WmTNnMDAwACA7IO7t7d32mz3hcBgnTpxAOp3GyMjIlgFw/uNi75P7xlGxbw7lxGKxLZOB+fn5kpONUrq6ujA1NVXws2KTl4GBAXR3d+P8+fMF32QCsO2gv5z39jtZyF0/d2RkxPsGGVFQNp7zNMf9mmNkv2NK0+cKNh4nLZxjyNmYD1oYu2AYvyzOMQpxjnEPFzVqyHVdlToWFxfR1tZmxQBGsz9adeW2FEouP+W3fSaXkbIxxyX5QFm25YMmxk6ukrF7eP/DeOb9zxStR+N6txKjo6NIJpOYnp4GkN2CPDIy4m2NTqfTuHjxInp7exGJRLYMrIsp9j6l3j9fNBpFT08PxsfHMTAwgPHxcUSjUfGE4+TJkxgeHvbqnZycRDqd3vYbXOFw2NuyPTExUdH3LlcqlSrYGr9djMg+1Z5j2Ph5oTnu1xwj+x1Tmj5XsPE4aeEcQ87GfNDC2AXDOQbnGJxjlMZFDWXfeO0beOHqC3h1/lW072vH//GP/o+q19nQ0FD1OjRp9kerrlAoJConaZ/JZaRsy3FpPlCWbfmgibGTq1Ts9jbtLXq9Wdd1sb6+jsbGxppPDPOvB5sbFE9PT3vf8gmHw5iYmMCpU6e8beC5rdapVMprfzgcLroNu9T7lHr/zSYmJrwbA0ajUTz//PPifofDYTz//PM4deoUUqkUenp6Sk6eBgcHMTw8XNYEx+97lyM3uWhvb0dvby+i0Sg6OjoCvSeZZ3F1EV/98Vdx5eYVvLrwKj7X/TkcP3K8qnXa+Hmh1SfN2EnGlKbPFWw8Tlo4x5CzMR+0MHbBcI7BOcZ2OMfIclyN7QIGWVpaQltbGxYXF2uyjesrP/wKnks9h7X1NbTsbsFX/vFXan7SoNrKZDKYnZ3FwYMHOdAk5gMVYD7Y786dO7h06RKOHTuG3bt3l3ytSRMOqdHRUczMzHhbutPpNE6cOIHTp09v2T5tg8nJSaRSKQwNDVX8vTXzoVSe1npsbYpaxmFlbQW/+ee/CbjA2voaPvXOT+HXHv011TaQeTiGoHzMB8rHfLCbn/kFwDlGPbJhjlGJ+QXPXsoO7zvs/Xt1fRXp1XRV63NdFwsLCyqXutKg2R+tulzXxdLSku96JO0zuYyUjTkuyQfKsi0fNDF2coydXDgcLnkDuno3NjbmXQOYqFr2Ne1D26427/HVlatVrc/Gc57muF9zjOx3TGn6XMHG46SFcww5G/NBC2MXDOMnxznGzsBFDWVH9h0peHxl5UrV62xqaqp6HZo0+6NVV2Oj7EpwkvaZXEbKthyX5gNl2ZYPmhg7OcauPENDQwiHw+jq6kJ3dze6urrQ19dn3TeoxsfH0d3djb6+Pt833iOSONJyb45xeeVy1euz8Zyn1SfN2EnGlKbPFWw8Tlo4x5CzMR+0MHbBMH7l4RxjZ+KnmrL8nRoAcG3lGt7e8faq1ec4DlpaWqr2/to0+6NVl+M42Lt3r+9tXZL2mVxGysYcl+QDZdmWD5oYOznGzp+RkZGi16a1xcDAAL89RaoO7zuMH8/9GED1d2rYeM7THPdrjpH9jilNnyvYeJy0cI4hZ2M+aGHsgmH8/OEcY+fhTg1lB/YcQGPo3lpStXdquK6Lubk5a7arafZHqy7XdbG4uCjafu23fSaXkbIxxyX5QFm25YMmxk6OsSOiWntg3wPevxfuLOD2+u2q1WXjOU9z3K85RvY7pjR9rmDjcdLCOYacjfmghbELhvEjKo2LGspCTggH9x70Hlf7m1QAsGfPnqrXoUmzP1p17dq1S1RO0j6Ty0jZluPSfKAs2/JBE2Mnx9gRUS1t3g1e7TmGjec8rT5pxk4ypjR9rmDjcdLCOYacjfmghbELhvEjKo6LGjWQP+m4eqv628Nt2maq2R+tuhzHwZ49e0SXn5JsKTe1jJSNOS7JB8qyLR80MXZyjB0R1Vr+Tg0AuHKzervBbTznaY77NcfIfseUps8VbDxOWjjHkLMxH7QwdsEwfkSlcVGjBg7tPeT9+9rKtapuJXNdFzdu3LBmu5pmf7Tqcl0XCwsLou3XfttnchkpG3Nckg+UZVs+aGLs5Bg7Iqq1Q/sOFfzRo5qXuLXxnKc57tccI/sdU5o+V7DxOGnhHEPOxnzQwtgFw/gRlcYbhdfAkX1HvH/f2biDhdUFRHZHqlbfvn37qvbetaDZH6269u7dKyonaZ/JZaRsy3FpPlCWbfmgibGTq2XsXNfFd77zHVy8eBHLy8vYv38/enp68MQTT/CbXUQ7xK6GXejY3YEra9nFjGrft8/GzwutPmnGTjKmNH2uYONx0sI5hpyN+aCFsQuGcwyi4rioUQPbXfO2WosauW2mttDsj1ZdjuOgublZtP3ab/tMLiNlY45L8oGybMsHTYydXK1it76+ji9/+cv44he/iBdffHHL8+9+97vx2c9+Fp/61KfQ2MghH5Htjuw7givL1V/UsPHzQnPcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuGcwyi0nj5qRrIv/wUUN0b+bmui9nZWWu2q2n2R6su13UxPz8v2n7tt30ml5GyMccl+UBZtuWDJsZOrhaxW1lZwZNPPolTp07hxRdfRLPj4MMtLfhkWxs+3NKCZsfBiy++iFOnTuHJJ5/EyspKVdqRTCbhOA7Gx8er8v5+9ff3o729Hd3d3eju7kZXVxcGBwdr3SwiFUda7u0Gv7JypWrnJBs/LzTH/ZpjZL9jStPnCjYeJy2cY8jZmA9aGLtgOMfgHINK46JGDRzYcwCNzr3VzGpvD29ra6vq+2vT7I9WXS0tLaJykvaZXEbKthyX5gNl2ZYPmhg7Oc3Yra+v4+TJk3juueew23HwW52d+EbXo/jigw/hXxw+gi8++BC+0fUofquzE82Og+eeew4nT57E+vp6xdty7tw59Pb2YmJiouLvLTUwMIDp6WlMT09jZmYG4XAYXV1dZZcfHh42ZgJF5Mfhvfd2g6+srWDp7lLV6rLx80KrT5qxk4wpTZ8r2HictHCOIWdjPmhh7ILhHINzDCqOixo1EHJCOLD7gPf42sq1qtVl2zZTzf5o1eU4Dnbt2iW6/JRkS7mpZaRszHFJPlCWbfmgibGT047dl7/8ZW+y8exDR/HpSAfCDQ0Frwk3NODTkQ48+9BRb9Lxla98peJtGR8fx9jYGBKJBNLpdMXfvxJGRkYQjUYxPDxc66YQVVX+ffuA6u0Gt/HzQnPcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuGcwzOMag0LmrUyMHdB71/V/PyU5lMBteuXUMmk6laHZo0+6NVVyaTwdzcnO96JO0zuYyUjTkuyQfKsi0fNDF2cpqxc10X//pf/2sAwGcPHEDsPjf97N67F587kP0ixRe+8IWKbl9PJBLo6elBNBpFLBbb8s2jrq4ujI+Po6+vD+3t7ZicnAQApNNp9PX1oaurC11dXRgdHcXg4CBGR0e9sul0Gu3t7du+VmLzN6OGh4e998yfiAwODmJ8fBzDw8Po7u5GIpEo+Xoik+RffgoALt+8XJV6bPy80Bz3a46R/Y4pTZ8r2HictHCOIWdjPmhh7ILhHINzDCqt5osaiUQCiUQCk5OTGB4eRjKZ9J5LJpPe41QqVfBcKpXC6OgoJicnMTo6auzKXTGduzu9f1+9dbVq18hzHAft7e3WrIxr9kerLsdx0NraKvqmkt/2mVxGysYcl+QDZdmWD5oYOznN2L3wwgve9W2faguXVeaptrB3/dsXXnihYm0ZGxvzriU7ODiIsbGxgufn5+cxNTWFqakpnD171huonz9/HrFYDDMzM5iZmUE8Ht9S/vz58zh58uS2r5Xo6elBOp32xovHjx/33nN8fNybWIyNjeHkyZMYGRnB9PQ0ent7S76eyCSdezrR4Nz7RmW1LnFr4+eF5rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwznGJxjUGk1X9To7+9HJBJBPB5HV1cX+vv7vefGxsbQ3d0Nx3EwODiIaDRaUG5oaAjxeBzxeBynTp2qRfPF8ndqrG6sYv7OfFXqsW2bqWZ/tOpyHAdNTU2iQb1kS7mpZaRszHFJPlCWbfmgibGT04zd9PQ0AOD9+/Zt2Q5eTLihAe/ftw8AcOHChYq1JZFIeBOAkydPIpVKIZVKFbzm6aefBgD09vYWPDc5OekN2nPfwgLgfYElfzKz+bWVkD9xOXnyZMEXZyrxeqJaCDmhwi9OVfHyU7Z9XmiO+zXHyH7HlKbPFWw8Tlo4x5CzMR+0MHbBcI7BOQaVVvNFjYmJCS/JACAcDnv/7u7uxsLCAhYWFjA1NeU9tzmZo9Fo3a1m5U84AODarercVyOTyeDq1avWbPfT7I9WXZlMBjdu3BBtv/bbPpPLSNmY45J8oCzb8kETYyenGbvl5WUAQHuZk42ccKihoHxQk5OTSKfT6O7uRnd3N06cOAEAW75Jtd0EYWBgAL29vd6W8dwYLvdNqty3nWKxWNHX+pUbO+bGkul02tuSnkgkMDc3V7K839cT1Ur+F6cur1Tv8lO2fV5ojvs1x8h+x5SmzxVsPE5aOMeQszEftDB2wXCOwTkGlVbzRY3clhsgu8CRWzHLCYfDBQsdQHbVLhKJFPwsEonU1YpW557CRY1qbg/v6OiwZmVcsz9adTmOg3A4LPqmkt/2mVxGysYcl+QDZdmWD5oYOznN2O3fvx8AsLCx4atcOrNRUD6osbExTE1NYXp62vtvYmJiyzVvN4/h8su7rouRkRFv7DcwMIBEIoHz588XfGtpu9f6debMGQwMDADITj66u7sRjUYxMjJSMBbdjt/XE9XSoT2HvH9fXbmKjFv5P4TY+HmhOe7XHCP7HVOaPlew8Thp4RxDzsZ80MLYBcM5BucYVFpjrRsAZLcBnTt3Dn19fV4yANkVq9wNXy5cuOBdgqrY/TPm57dewml1dRWrq6ve46WlJQDZFc9arRZnMhmEm8JoDDViPbMOALi8fLlq7WloaIDrulW7b4c2zf5o1OW6rleP3xyQtM/kMlI25XiQfKAsm/Ihk8mo5oJNsdMmjV3uGJdbNre79VsrK0hvbJS1PTy9sYFvrawAyF73NejxTafTuHjxIk6cOFHwXk899RT6+/sxNTXlDco39811XSSTSYTDYUSjUZw4cQIjIyNwXRdtbW2IxWIYGxvD+fPnS762lM2xHB0dRTKZxMWLF+G6LmZmZhAOh/HUU08BwJa+tLW14eWXX4brukin0/d9fS3lx7Xa9eTORZvPR/ysMkv+To21zBpu3L6Bg3sPlijhX+4yNjbR6pNm7BzHQWNjo+/FBr/t0yoTpJyp9WiS5ANl2ZgPWhi7YDTj193dDUA+xzh+/HjgNuTmGJv/uB+Px9Hf349EIlHyD//584be3l6MjIwAyC6A5OYYExMTJV/rR26Okbt0VyqVQjgc9hZONvclHA5jZmbG6+v9Xk/3Z8SiRiwWQzQaxfDwMCYnJ70DOjAw4K2+RaNR9PX1eQmwne0WO86cOYNnnnlmy8+vX7+OO3fuVKT9fmUyGSwtLqGtoQ1X72avdZu6kcLs7GxV6pqbm0NHRwdCoZpvzAlMsz9ada2vr+PVV1/FxsYGGhvL/5WUtM/kMlK25bg0HyjLtnzIZDJYXFyE67r8XTJYkNitra0hk8lgfX0d6+vrJV/rui66u7vxC7/wC/je976HP15M49ORjvvW8ceLaay6Lt797ncjFovdt577+dKXvoR4PL7t+3zyk5/El770JXzoQx8CAK9fudeur6/jpZdewujoKC5duoRIJIIvfvGL3vOf/vSn8c//+T/Hww8/fN/XbieTyeDs2bPeFvLFxUV85CMfwbe//W20tLRgfX0dH/rQh+C6LiKRCD7ykY/gkUceQXt7u/e+8XgcTzzxBBKJBIaGhvDUU0+VfH2tuK6LjZ99m67af6RaX1/38nzz5LpSlxugysjfqQEAl29erviiRu5yGIcPH7bm80KrT5qxy2QyuH79Og4cOOBrDO+3fVplgpTzy9Yc95sPlGVjPmhh7ILRjN973/tevPvd78aLL77oe47xnve8B+9973sDt2F8fBwnT57c9rl4PI6xsbGSf/RPpVI4c+YMUqkUIpFIwSWrBgcHMTw87F22qtRrS7UvN8dIp9Po7e3F9PS093frXNva29vR29uLaDSKjo57cXz66afR3d2NRCKB06dPe3/7LvZ6uj/HNeFrZj+TSCTQ19eHhYUFhMNhJJNJ7xuJ6XQa7e3tmJmZQSKRwNjYmLcaBmSTYGJiYkuCb7dT4+jRo1hYWEBra6tOxzbJDSj+39f/X1y8dhEA8GDLg/iXH/yXValvY2MDDT6vi2cyzf5o1BXkg0rSPpPLSNmU4xz4BWdbPly/fh2dnZ0q+WBT7LRJY3fnzh288sorOHbsGHbv3n3f16+treErX/kKBgYG0Ow4+DcPHUVs796ir5++dQv/7I3Xseq6OHv2LD796U/7bqOmyclJpFIpDA0N1bopdWFtbU3lG3x37tzBpUuX8Mgjj2zJ06WlJbS3t2NxcbFmY2sTLC0toa2traZxyGQySL2Zwu+++LvAz9a5/vu3//f4RPQTFa/Lxs8LrT5p1ZPJZHDlyhUcOXLE1xjC9LmCbcdJizQfKMvGfJidncXBgwerng+2xU6bJH65cVu58wvXdbG+vo4vf/nLojnGs88+yzmGRXL5UO3dfaXytNxxdU2/BpxIJNDf34+FhQUAKFgxA4ATJ054z+VEIhH09vZuu4rW09Oz5WfNzc1obm7e8vNQKFTTD3PHcfDg/gdxcTa7qHHt1jW4cNEQqs7J3raBi2Z/NOrK5aOkLtvKSNmU40HygbJsip3jOKr5YFPstEnPk47jeP+V4rouHMfBpz71KXzta1/Dc889h0+/8To+d+AAnmoLF2wTT29s4I/TaXxh7gZWXRef+MQn8KlPfcr4y06Mj49jYmLC+HaaIJcPQPV3auTyc7tzEc8ZZmlpakHLrhbcXLsJAHjz5ptVqcfG31GtPmnGTlKXyWWClDO1Hk029kkLYyfH2AWjGT/pHOM3fuM31NoolX/pKbJHTWchuQWKnNw1zXKXo8q/plkikUA8HveueZYvlUqhp6en6I1iTPXAvge8f6+765i9VZ3LT129etWa6x1r9kerrtzlHPzWI2mfyWWkbMxxST5Qlm35oImxk9OOXWNjI86fP49f+ZVfwarr4g+uX8eHZ17GZ998A7975Qo+++Yb+NDMy/iDG9e9yca5c+eMvqTd+Pg4uru70dfXV3fjOTJPIpFAIpHA5OQkhoeHkUwmvedSqRRGR0cxOTmJ0dHRgsvXlnqunjzY8qD372osatj4eaE57tccI/sdU5o+V7DxOGnhHEPOxnzQwtgFwzlGcJxj2K3ml5+anJz0bvA9NTWFkZERb9EimUwikUh4N1PJX+RIpVIYGxvD8ePHceHCBZw+fbqsBDVla/js7CwWmxbxv/7d/+r9/Ld7fhs9h7fuNqlEfTZ9i06zPxp1BbnckKR9JpeRsinHefmp4GzLB62t4bn6bImdNmns/GwP37wVeH19HV/5ylfwhS98AS+++OKW17/73e/G5z73OfzGb/yG0ZMNktHaGg5UZnu4pvb2djz//POIxWIYHx/HyMiId1++7u7ughs6Dg8Pe9/cK/Xc/ZgQh9xnxp9c+xP8xet/AQDY37Qfz37s2arUZdvnhVafNOuR3rfC5LmCbcdJC+cYwdiYD1pzDNtip00SP+nlpzjHIICXn/Ild2MUIHtj8HyxWMy7p8Zm+Ts58t+jnjzQ8kDB48srl6tSj0G3TakIzf5o1SWtR1LO5DJSzHHKx/jJMXZytYhdY2MjPv3pT+M3f/M38cILL+DChQtYXl7G/v37cfz4cbz3ve/lln/akSYmJgrmELkvPuUucZsTjUa9Gz6Weq7e5O/UWF5bxtLdJbTuquxCi42fF6aP+7XqMrlMkHKm1qPJxj5pYezkGLtgOMcgKo7LpTW0r2kfws1h73G1todfu3bNmu1+mv3RqiuTyWB+fl60/dpv+0wuI2VjjkvygbJsywdNjJ1cJWIXZMLiOA6eeOIJfO5zn8Pp06fxuc99Dk888QQnG1Qx9fYHifzL205MTGBwcBBA9rJUkUik4LWRSMTbHV7suXqTf4lbAHhzubJzDBs/LzTH/ZpjZL9jStPnCjYeJy2cY8jZmA9aGLtggsYv6PiNcwyqpkrML2q+U2OnO7LvCNKraQDAlZtXKv7+oVAIDzzwwP1fWCc0+6NVVygUQmdnp+8thZL2mVxGysYcl+QDZdmWD5oYO7kgsWtqagIA3Lp1C3v27Klks4gq5tatWwDu5Ws9SCaTOHfuHPr6+rzd4MXukTE/P1/yue2srq5idXXVe7y0tAQg+weIWv3xJpPJwHVdHGk5AuTNE19ffh2Ptz9e0boOHz7s1WkLrT5pxu7AgQO+65K0T6tMkHJ+2ZjjknygLNvyIfd5odEf22KnTRK/hoYGuK6LlZWVsi4/Bdz7A3O9fZGFqkMjH1ZWVuC6LhoaGrbkd7n5zkWNGnuw5UH8w/w/AAAu36z85ac0r7esQbM/WnXl6vF7spC0z+QyUrbmOAcTMrblgybGTi5I7BoaGhAOhzE7OwsA2Lt3b9H34DGifBr54Loubt26hdnZWYTDYTQ0NFSlnmqIxWKIRqMYHh7G5ORkycvVlroheLHnzpw5g2eeeWbLz69fv447d+74bW5FZDIZLC4uYn9mP5yMg7uZuwCAn179Kd61+10Vq8d1XWxsbKChocGac5FWnzRjt7Gx4X0zv9zfXUn7tMoEKeeXjTkuyQfKsjEfcp8XrutW9ct0NsZOU5D4NTU1eTcZ3717d8nyuQWuUCjE40RVzwfXdXHnzh3Mzs6iubkZc3NzW16zvLxc1ntxUaPG8u+rUY1r3rqui7m5ORw8eNCKk5Nmf7Tqcl0X6XTaW4H3U85v+0wuI2VjjkvygbJsywdNjJ1c0Njlft9zCxul6uGEg3I08yEcDtfl51I4HEZ/fz/6+vqwsLCAcDi8ZefF/Pw8wuFwyee2c/r0aXz+85/3Hi8tLeHo0aPo7Oys6Y3CHcdBZ2cn3tL+Fryy+AoAYBGLOHjwYEXrmZ2dtWpnqVafNGO3vr6O+fl5dHZ2ln0jV0n7tMoEKeeXjTkuyQfKsjEf8j8v+LtkriDx6+zsxLVr13Djxo2y6+IxohyNfIhEIjh06NC285hydxjx06zG8m/kB2QvQdUaqdxEKBQK1eUktBjN/mjVFQqFcODAAdHlp/y2z+QyUjbmuCQfKMu2fNDE2MkFjZ3jODhy5AgOHjyItbW1oq/LZDKYm5tDR0cHzxGklg9NTU119a3eRCKB/v5+LCwsAMje8BvI3gi8t7cXY2NjW8r09PQgGo0WfW47zc3NaG5u3vLzUChU099Px3EQCoXw0P6H8MrSKwCAyyuXK9omGy9XqHnZWa3YNTY2en/ALvf4m36pWhuPkxZJPlCWjfkA3Pu8qGY+2Bo7LUHj98ADD+DQoUMl5xcA5xhUSCMf7je/KLdeLmrUWP5ODSB7s/DHI5W75q3rulhbW0NTU5MV3+rU7I9WXbl6JJef8ts+k8tI2ZrjvPyUjG35oImxk6tU7BoaGkoO7jKZDJqamrB7925OOIj5UEQkEim4UXgymUQ4HEYsFtvy2lQqhZ6eHm+nRrHn6lH+F6du3L6B2+u3saexMvftsfHzQnvcrzlG9jOmNH2uYONx0sI5hpyN+aCFsQumEvG73/wC4JiSCtVTPpjduh3gwJ4DaArdu+lipe+r4bouFhYWrBm8aPZHqy7XdbG0tCRa1PDbPpPLSNmY45J8oCzb8kETYyfH2BGZIxaL4emnn8b4+DjGx8dx7tw5TE9Pe89PTEx499kYGxvDxMREWc/Vm+12g1eKjec8zXG/5hjZ75jS9LmCjcdJC+cYcjbmgxbGLhjGj6g0x91hvx1LS0toa2vD4uJiTa93Ozs7i4MHDyIUCuG3/+q38dryawCA2MEYht87XJN2UW1szgfa2ZgPlI/5QPmYD5TPlHwwYWxtAhPikJ8Tb668if/lr/4X77nPvvuz+OWHfrkm7aLaMOUcQWZgPlA+5gPlYz5QPhPyodxxNbPVAPmXoLqyUrlvUQHZld3V1VVrVnY1+6NVl+u6uHv3ruibSn7bZ3IZKRtzXJIPlGVbPmhi7OQYOyIyzeF9hxHKm+pVcje4jec8zXG/5hjZ75jS9LmCjcdJC+cYcjbmgxbGLhjGj6g0LmoYIH97+LWVa1jbKH0TH78WFxcr+n61ptkfrbpu3rwpKidpn8llpGzLcWk+UJZt+aCJsZNj7IjIJE2hJhzed9h7XOlL3Np4ztPqk2bsJGNK0+cKNh4nLZxjyNmYD1oYu2AYP6LiuKhhgCP7jnj/ziCDq7euVuy9HcfBwYMHrbkpk2Z/tOpyHAeRSMR3PZL2mVxGysYcl+QDZdmWD5oYOznGjohMlP/FqdeXX6/Y+9p4ztMc92uOkf2OKU2fK9h4nLRwjiFnYz5oYeyCYfyISuOihgE238iv0tvDb9++bc12Nc3+aNUVZPu13/aZXEbKxhznFlM52/JBE2Mnx9gRkYmO7j/q/fvqytWK7Qa38ZynOe7XHCNLLgtl8lzBxuOkhXMMORvzQQtjFwzjR1QaFzUMkH9PDQB4Y/mNir7/yspKRd+v1jT7o1XXrVu3ROUk7TO5jJRtOS7NB8qyLR80MXZyjB0RmSZ/USODDN68+WbF3tvGc55WnzRjJxlTmj5XsPE4aeEcQ87GfNDC2AXD+BEVx0UNA+xu3I2Dew56j9+4WblFDcdxcODAAWu2q2n2R6sux3HQ3t4u2n7tt30ml5GyMccl+UBZtuWDJsZOjrEjIhMdbT1a8LhSl6Cy8ZynOe7XHCP7HVOaPlew8Thp4RxDzsZ80MLYBcP4EZXGRQ1DPLT/Ie/flbzmreu6uHXrljXb1TT7o1VXkO3XfttnchkpG3OcW0zlbMsHTYydHGNHRCY6vO8wGp1G73Gl5hg2nvM0x/2aY2TJZaFMnivYeJy0cI4hZ2M+aGHsgmH8iErjooYh8hc1rty8gvXMesXe+/bt2xV7LxNo9kerrrt374rKSdpnchkp23Jcmg+UZVs+aGLs5Bg7IjJNU6gJR1qOeI8r+cUpG895Wn3SjJ1kTGn6XMHG46SFcww5G/NBC2MXDONHVBwXNQyRf83bdXcd125dq8j7Oo6Djo4Oa7arafZHqy7HcdDW1ibafu23fSaXkbIxxyX5QFm25YMmxk6OsSMiU+XPMSp13z4bz3ma437NMbLfMaXpcwUbj5MWzjHkbMwHLYxdMIwfUWlc1DDEQy0PFTyu1KTDdV3cvHnTmu1qmv3RqivI9mu/7TO5jJSNOc4tpnK25YMmxk6OsSMiUz28/2Hv37O3Z3F7Pfg3Pm0852mO+zXHyJLLQpk8V7DxOGnhHEPOxnzQwtgFw/gRlcZFDUM8uP9BOLi3+lrJ7eFra2sVey8TaPZHq671ddnlxiTtM7mMlG05Ls0HyrItHzQxdnKMHRGZKP8St0Dlvjhl4zlPq0+asZOMKU2fK9h4nLRwjiFnYz5oYeyCYfyIiuOihiGaG5rRuafTe1zJ7eHt7e3WbFfT7I9WXY7joLW1VbT92m/7TC4jZWOOS/KBsmzLB02MnRxjR0Smyr/8FFCZL07ZeM7THPdrjpH9jilNnyvYeJy0cI4hZ2M+aGHsgmH8iErjooZB8r9JVamdGq7rYnl52Zrtapr90arLdV2srKyItl/7bZ/JZaRszHFJPlCWbfmgibGTY+yIyFQH9x5Ec0Oz97gScwwbz3ma437NMbLfMaXpcwUbj5MWzjHkbMwHLYxdMIwfUWlc1DBI/qLG1ZWrWM9UZnvoxsZGRd7HFJr90aork8mIyknaZ3IZKdtyXJoPlGVbPmhi7OQYOyIyUcgJFdy7r1JfnLLxnKfVJ83YScaUps8VbDxOWjjHkLMxH7QwdsEwfkTFcVHDIPnbw9fddVxduRr4PR3HQTgctma7mmZ/tOpyHAf79+8Xbb/22z6Ty0jZmOOSfKAs2/JBE2Mnx9gRkcmOtt6bY1Tq8lO2nfM0x/2aY2S/Y0rT5wo2HictnGPI2ZgPWhi7YBg/otK4qGGQLTfyuxn8vhqu62Jpacma7Wqa/dGqy3Vd3Lx5U7T92m/7TC4jZWOOS/KBsmzLB02MnRxjR0Qmy//iVHo1jaW7S4Hez8Zznua4X3OM7HdMafpcwcbjpIVzDDkb80ELYxcM40dUGhc1DPJgy4NwcG8FtlLbw4mIiIiIaGeqxs3CiYiIiIhqiYsaBmluaEbn3k7v8ZvLbwZ+T8dx0Nraas12Nc3+aNXlOA5aWlpE26/9ts/kMlI25rgkHyjLtnzQxNjJMXZEZLItixpLwRY1bDznaY77NcfIfseUps8VbDxOWjjHkLMxH7QwdsEwfkSlcVHDMPmTjkp8i8p1XaTTaWu2q2n2R6su13WxvLws2n7tt30ml5GyMccl+UBZtuWDJsZOjrEjIpO1N7ejpanFe/zq0quB3s/Gc57muF9zjOx3TGn6XMHG46SFcww5G/NBC2MXDONHVBoXNQzzUMu9+2pcWbmCtcxa4PdsaGgI/B4m0eyPVl2hkOxXUdI+k8tI2Zbj0nygLNvyQRNjJ8fYEZGpHMfBW1rf4j0OuqgB2HnO0+qTZuwkY0rT5wo2HictnGPI2ZgPWhi7YBg/ouL4qWaY/AnHhruByzcvB3o/x3Gwf/9+a7arafZHqy7HcbBv3z7R9mu/7TO5jJSNOS7JB8qyLR80MXZyjB0RmS5/jvHa8mvYyGyI38vGc57muF9zjOx3TGn6XMHG46SFcww5G/NBC2MXDONHVBoXNQzzcOvDBY8rsT18YWHBmu1qmv3Rqst1XSwtLYm2X/ttn8llpGzMcUk+UJZt+aCJsZNj7IjIdPmLGmuZNVxZuSJ+LxvPeZrjfs0xst8xpelzBRuPkxbOMeRszActjF0wjB9RaVzUMMyRfUfQGGr0Hr+29Frg92xqagr8HibR7I9WXY2Njfd/0TYk7TO5jJRtOS7NB8qyLR80MXZyjB0RmeyR1kcKHgedY9h4ztPqk2bsJGNK0+cKNh4nLZxjyNmYD1oYu2AYP6LiuKhhmMZQIx5sedB7HHSnhuM4aGlpsWa7mmZ/tOpyHAd79+4Vbb/22z6Ty0jZmOOSfKAs2/JBE2Mnx9gRkekebHkQDc6963K/svSK+L1sPOdpjvs1x8h+x5SmzxVsPE5aOMeQszEftDB2wTB+RKVxUcNAm695G4Trupibm7Nmu5pmf7Tqcl0Xi4uLou3XfttnchkpG3Nckg+UZVs+aGLs5Bg7IjJdU0NTxb44ZeM5T3PcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqjYsaBnp4/737aqRX01hcXQz0fnv27AnaJKNo9kerrl27donKSdpnchkp23Jcmg+UZVs+aGLs5Bg7IjJd/hengu4Gt/Gcp9UnzdhJxpSmzxVsPE5aOMeQszEftDB2wTB+RMVxUcNA+RMOINg1b23bZqrZH626HMfBnj17RNuvJVvKTS0jZWOOS/KBsmzLB02MnRxjR0T1IH+OsbC6IP7ilI3nPM1xv+YY2e+Y0vS5go3HSQvnGHI25oMWxi4Yxo+oNC5qGGjLokaAS1C5rosbN25Ys11Nsz9adbmui4WFBdH2a7/tM7mMlI05LskHyrItHzQxdnKMHRHVg0rdLNzGc57muF9zjOx3TGn6XMHG46SFcww5G/NBC2MXDONHVBoXNQzU1tyGtl1t3uMgOzUAYN++fUGbZBTN/mjVtXfvXlE5SftMLiNlW45L84GybMsHTYydHGNHRKZ7uPXhgsdBbhZu4zlPq0+asZOMKU2fK9h4nLRwjiFnYz5oYeyCYfyIiuOihqHyJx2vLsuveWvbNlPN/mjV5TgOmpubRduvJVvKTS0jZWOOS/KBsmzLB02MnRxjR0T1oK25De3N7d5j6X01bDznaY77NcfIfseUps8VbDxOWjjHkLMxH7QwdsEwfkSlcVHDUPmXoHpj+Q1sZDZE7+O6LmZnZ63ZrqbZH626XNfF/Py8aPu13/aZXEbKxhyX5ANl2ZYPmhg7OcaOiOpFJW4WbuM5T3PcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqjYsahsqfcKxl1nBl5Yr4vdra2u7/ojqi2R+tulpaWkTlJO0zuYyUbTkuzQfKsi0fNDF2cowdEdWD/N3gb958E2sba6L3sfGcp9UnzdhJxpSmzxVsPE5aOMeQszEftDB2wTB+RMVxUcNQD+8vvOat9L4atm0z1eyPVl2O42DXrl2i7deSLeWmlpGyMccl+UBZtuWDJsZOjrEjonpxrPWY9+8NdwOv33zd93vYeM7THPdrjpH9jilNnyvYeJy0cI4hZ2M+aGHsgmH8iErjooahHmx5EKG8wyO9r0Ymk8G1a9eQyWQq1bSa0uyPVl2ZTAZzc3O+65G0z+QyUjbmuCQfKMu2fNDE2MkxdkRUL461HSt4fCl9yfd72HjO0xz3a46R/Y4pTZ8r2HictHCOIWdjPmhh7IJh/IhK46KGoZoamvDg/ge9x68sviJ6H8dx0N7ebs3KrmZ/tOpyHAetra2ibyr5bZ/JZaRszHFJPlCWbfmgibGTY+yIqF4c2ncIuxt2e48vLflf1LDxnKc57tccI/sdU5o+V7DxOGnhHEPOxnzQwtgFw/gRlcZFDYM90vqI9+9Li/4nHIB920w1+6NVl+M4aGpqEg3qJVvKTS0jZWOOS/KBsmzLB02MnRxjR0T1IuSECnZrpNIp3+9h4zlPc9yvOUb2O6Y0fa5g43HSwjmGnI35oIWxC4bxIyqNixoGy59wLN5dxMKdBd/vkclkcPXqVWu2q2n2R6uuTCaDGzduiLZf+22fyWWkbMxxST5Qlm35oImxk2PsiKie5M8xXlt+DeuZdV/lbTznaY77NcfIfseUps8VbDxOWjjHkLMxH7QwdsEwfkSlcVHDYFuueSvYreE4Djo6OqxZ2dXsj1ZdjuMgHA6Lvqnkt30ml5GyMccl+UBZtuWDJsZOjrEjonoSbYt6/17LrOGN5Td8lbfxnKc57tccI/sdU5o+V7DxOGnhHEPOxnzQwtgFw/gRlcZFDYPlX34KAF5ZesX3e9i2zVSzP1p1OY6DxsZG0aBesqXc1DJSNua4JB8oy7Z80MTYyTF2RFRPgn5xysZznua4X3OM7HdMafpcwcbjpIVzDDkb80ELYxcM40dUGhc1DLa3aS8O7j3oPZbcLDyTyeDy5cvWbFfT7I9WXZlMBtevXxdtv/bbPpPLSNmY45J8oCzb8kETYyfH2BFRPXmg5YFANwu38ZynOe7XHCP7HVOaPlew8Thp4RxDzsZ80MLYBcP4EZXGRQ3D5X+TSnL5qVAohEOHDiEUsuNQa/ZHq65QKIRIJOK7Hkn7TC4jZWOOS/KBsmzLB02MnRxjR0T1JOSE8JbWt3iP/c4xbDznaY77NcfIfseUps8VbDxOWjjHkLMxH7QwdsEwfkSl8TfDcMda7y1qzN6exc27N32/h21b1TT7o1WXtB5JOZPLSDHHKR/jJ8fYyTF2RFRP8u+r8criK9jIbPgqb+M5z/Rxv1ZdJpcJUs7UejTZ2CctjJ0cYxcM40dUHBc1DLf5mrd+76uRyWRw9epVa7arafZHq65MJoO5uTnR9mu/7TO5jJSNOS7JB8qyLR80MXZyjB0R1Zto+N6ixt3MXVxeuVx2WRvPeZrjfs0xst8xpelzBRuPkxbOMeRszActjF0wjB9RaVzUMFzQG/mFQiEcPnzYmu1qmv3RqisUCqGjo0O0/dpv+0wuI2VjjkvygbJsywdNjJ0cY0dE9SZ/Nzjgb45h4zlPc9yvOUb2O6Y0fa5g43HSwjmGnI35oIWxC4bxIyqNvxmGa2tuQ3tzu/fY704NAHBdt4Itqj3N/mjVJa1HUs7kMlLMccrH+MkxdnKMHRHVkwdaHsCu0C7vsd8vTtl4zjN93K9Vl8llgpQztR5NNvZJC2Mnx9gFw/gRFcdFjToQ5GbhmUwG165ds2a7mmZ/tOrKZDKYn58Xbb/22z6Ty0jZmOOSfKAs2/JBE2Mnx9gRUb1pCDUU3Cz85fTLZZe18ZynOe7XHCP7HVOaPlew8Thp4RxDzsZ80MLYBcP4EZXWWOsGJBIJAEA6ncaFCxfw9NNPIxaLAQBSqRQmJycRjUaRSqUwMDCAcDh83+ds80jrI0jOJgEAV25ewZ31O9jduLussqFQCA888EA1m6dKsz9adYVCIXR2doq2X/ttn8llpGzMcUk+UJZt+aCJsZNj7IioHnWFu/BS+iUA2ZuFr2fW0Ri6//TQxnOe5rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1RazRc1+vv78fzzz6O3txfz8/Po7+/HzMyM99z09DSA7CLGqVOnMDExcd/nbPNI2yPevzPI4NWlV/F45PGyyrqui/X1dTQ2NsJxnCq1UI9mf7TqytXjd1uhpH0ml5GyNce5zVTGtnzQxNjJMXZEVI+6wl3ev+9m7uKN5TcK5h3F2HjO0x73a46R/YwpTZ8r2HictHCOIWdjPmhh7IJh/IhKq/ky/cTEhLczA0DBTox80WjU29VR6jkbRduiBY9Ti6kir9zKdV3Mzc1ZM3jR7I9WXa7rIp1OixY1/LbP5DJSNua4JB8oy7Z80MTYyTF2RFSPHgs/VvC43EtQ2XjO0xz3a46R/Y4pTZ8r2HictHCOIWdjPmhh7IJh/IhKq/miRm9vr/fviYkJDA4OAshelioSiRS8NhKJIJlMlnzORgf2HEDrrlbv8Ux6puyyoVAIhw8ftmabqWZ/tOoKhUI4cOCA6PJTfttnchkpG3Nckg+UZVs+aGLs5Bg7IqpHh/Ydwr6mfd7jchc1bDznaY77NcfIfseUps8VbDxOWjjHkLMxH7QwdsEwfkSl1fzyUwCQTCZx7tw59PX1YWBgAED2HhvbmZ+fL/ncZqurq1hdXfUeLy0tAcjecKdWN9vJZDJwXddX/dG2KF6cfRFAdsJRblnXdbG2toampiYrtqtp9kerro2NDdy9excbGxu+yknaZ3IZKdtyXJoPlGVbPkg+L6Rsi50mrdhp5gOZz5R8qHX9JBdyQoi2RfH3N/4eQPlfnLLx80KrT7UYI/vdQWHyXMHG46RFkg+UZWM+aGHsgmH8iEozYlEjFoshGo1ieHgYk5OTiMfjRV9bbEGj2HNnzpzBM888s+Xn169fx507dyTNDSyTyWBxcRGu65a94nowdBBr62sAgNfSr+HVy69iT+OesupaWFhAe3u7Fau7mv3Rqmt9fR1vvvkmQqEQGhvL/5WUtM/kMlK25bg0HyjLtnyQfF4Eqcum2GnSip1mPpD5TMmH5eXlmtVNwT0aftRb1Hhj+Q3cXr993zmG67pYWFhAZ2enNX9k0eqTZuxc18XS0hKOHDniq4zf9mmVCVLOL1tz3G8+UJaN+aCFsQuG8SMqzZi/mIXDYfT396Ovrw8LCwsIh8Nbdl7Mz88jHA6XfG6z06dP4/Of/7z3eGlpCUePHkVnZydaW1u3vF5DJpOB4zjo7OwsexL6C/gFfP3q173Hy7uW8ZYDbymr7OHDh0XtNJVmfzTqymQyaGho8JUPOZL2mVxGyqYcD5IPlGVbPvj9vAjCpthp0/q80MwHMpsp+bB79+6a1U3BPRp+1Pt3BhlcWryEt3e8vWSZUCiEQ4cOVbtpqrT6pBm7UCiEjo4O35eF8ts+rTJByplajyZJPlCWjfmghbELhvEjKq2mixqJRAL9/f1YWFgAkL3hN5C9EXhvby/Gxsa2lOnp6UE0Gi363GbNzc1obm7e8vNQKFTTD3THcXy14bH2x4C8hdlXll/Buw6+677lXNfF3bt3sWvXLitWdjX7o1VXbkthLieq2T6Ty0jZmOOSfKAs2/IB8P95IWVj7LRoxk4rH6g+mJAPzMX61hXuKng8k56576KGjZ8XmuN+7TGy38tPmTxXsPE4aZHkA2XZmA9aGLtgGD+i0mo6C4lEIgU3Ck8mkwiHw97lqPKlUin09PQgHA6XfM5Wbc1tOLDngPe43Bv5AcDi4mI1mlQzmv3RquvmzZuicpL2mVxGyrYcl+YDZdmWD5oYOznGjojqUfvudkR2R7zH5c4xbDznafVJM3aSMaXpcwUbj5MWzjHkbMwHLYxdMIwfUXE13akRi8Xw9NNPY3x8HAAwNTWF6elp7/mJiQkMDw/j+PHjuHDhAiYmJsp6zlZdbV24cfsGACCVTpVVxnEcHDx4sJrNUqXZH626HMdBJBLxvfIuaZ/JZaRszHFJPlCWbfmgibGTY+yIqJ49Fn4M37n6HQDl3SzcxnOe5rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1Raze+pkX9T8IGBgYLnotEoRkZGtrzufs/Zqivc5U04rt++jsXVRbQ1t5Us47ou7ty5g927d1sxgNHsj1ZdrutidXXV91ZgSftMLiNlY45L8oGybMsHTYydHGNHRPXM7xzDxnOe5rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1QaL4JbRzZf8za1WN5ujZWVlWo0p2Y0+6NV161bt0TlJO0zuYyUbTkuzQfKsi0fNDF2cowdEdWr/JuFA8BLCy/dt4yN5zytPmnGTjKmNH2uYONx0sI5hpyN+aCFsQuG8SMqjosadeRY27GCx+Vc89ZxHBw4cMCaVV3N/mjV5TgO2tvbRZef8ts+k8tI2ZjjknygLNvyQRNjJ8fYEVE9i4ajcHDv/HW/OYaN5zzNcb/mGNnvmNL0uYKNx0kL5xhyNuaDFsYuGMaPqDQuatSRfU37cGTfEe9xOffVcF0Xt27dsmabqWZ/tOpyXRe3b98WXX7Kb/tMLiNlY45L8oGybMsHTYydHGNHRPVsT+MePLz/Ye/xTxZ+UvL1Np7zNMf9mmNkv2NK0+cKNh4nLZxjyNmYD1oYu2AYP6LSuKhRZ/IvQfVy+uWyTm63b9+uZpPUafZHq667d++KyknaZ3IZKdtyXJoPlGVbPmhi7OQYOyKqZ4+1P+b9eyY9g43MRsnX23jO0+qTZuwkY0rT5wo2HictnGPI2ZgPWhi7YBg/ouK4qFFn8iccS3eXMHtrtuTrHcdBR0eHNdvVNPujVZfjOGhraxNtv/bbPpPLSNmY45J8oCzb8kETYyfH2BFRvXs88rj379WNVby2/FrR19p4ztMc92uOkf2OKU2fK9h4nLRwjiFnYz5oYeyCYfyISuOiRp15LPxYweOX0qVv5Oe6Lm7evGnNdjXN/mjVFWT7td/2mVxGysYc5xZTOdvyQRNjJ8fYEVG92zzHKHUJKhvPeZrjfs0xsuSyUCbPFWw8Tlo4x5CzMR+0MHbBMH5EpTXWugHkz1ta34KmUBPWMmsAgJ8u/BQfePADJcusra1pNE2NZn+06lpfXxeVk7TP5DJStuW4NB8oy7Z80MTYyTF2ROZIJpNIJBIAgAsXLuDs2bMIh8PecwAQi8WQSqWQTqcRi8UAAKlUCpOTk4hGo0ilUhgYGPDK2e7wvsPYv2s/lu8uAwBeWngJ//iRf1z09Tae87T6pBk7yZjS9LmCjcdJC+cYcjbmgxbGLhjGj6g47tSoM42hxsL7aiy8XPL1juOgvb3dmu1qmv3RqstxHLS2toq2X/ttn8llpGzMcUk+UJZt+aCJsZNj7IjMkkgkMDQ0hKGhIRw/fhwnTpzwnhsbG0N3dzccx8Hg4CCi0aj3XH9/P4aGhhCPxxGPx3Hq1KlaNL8mHMfBW9vf6j3+6fxPS77WtnOe5rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1QaFzXqUP6E45WlV3B3o/gNv1zXxfLysjXb1TT7o1WX67pYWVkRbb/22z6Ty0jZmOOSfKAs2/JBE2Mnx9gRmSOZTOLMmTPe43g8jmQyiVQqBQDo7u7GwsICFhYWMDU15e3EyD2fE41Gvd0eO0X+HGP29izSd9Lbvs7Gc57muF9zjOx3TGn6XMHG46SFcww5G/NBC2MXDONHVBoXNerQo+FHvX9vuBtILaZKvBrY2NiodpNUafZHq65MJiMqJ2mfyWWkbMtxaT5Qlm35oImxk2PsiMwQi8Vw9uxZ73E6nQYARCIR72fhcHjLZaUSiUTBa3Jlcper2gnyFzWA7GVui7HxnKfVJ83YScaUps8VbDxOWjjHkLMxH7QwdsEwfkTF8Z4adeix9sIb+f104af4ucjPbftax3GsuhawZn+06nIcB/v37xdtv/bbPpPLSNmY45J8oCzb8kETYyfH2BGZJR6Pe/8+d+4cent7vd/RdDqNyclJANn7beQuQZVb/Nhsfn5+25+vrq5idXXVe7y0tAQg+0fDWv3hMJPJwHVdcf3HWo/BgeN9I/Qn8z9Bz6GebV/b2toK13Wt+vaoVp+06nFdFy0tLb5zQtI+rTJByvllW45L84GybMuHoJ8XftgWO20a8dPMBzKfCflQbt1c1KhDkd0RHNhzADdu3wBQ+r4aue1qtvyRVLM/WnW5roubN2+is7PTdzm/7TO5jJSNOS7JB8qyLR80MXZyjB2RmXILGNPT097P8m/+HY1G0dfXh5mZmZLvsZ0zZ87gmWee2fLz69ev486dO4HaLZXJZLC4uAjXdREKyTbkH951GK+tvAYA+P6V76Ovo2/La3KXsdm3b5815zytPmnGbmNjA1evXkUmk0FDQ0PV2qdVJkg5v2zMcUk+UJaN+VCJz4ty2Bg7TVrx08oHqg8m5MPy8nJZr+OiRp16a/tbvUWNny78FK7r8kOCiIiIiOhnhoeHC+6bAWTvnRGLxQBkFzVSqRRSqRTC4fCWXRnz8/NFd2GdPn0an//8573HS0tLOHr0KDo7O9Ha2lrxvpQjk8nAcRx0dnaKJ6HvOvIuXHnlCgDgyt0raO9oR1NDU8FrbFzI1fwyk1bsNjY2cOvWLRw8eNDXoobJX4Cy8ThpkeQDZdmYD5X4vCiHjbHTpBU/rXyg+mBCPuzevbus13FRo049Gn4U37r8LQDAwuoC5u7M4cCeA1te5zhOzSZW1aDZH626HMdBS0uL6PJTfttnchkpG3Nckg+UZVs+aGLs5Bg7IvOMjo5ieHi44NJSqVQKJ06cwMLCQsFrI5EIent7MTY2tuV9enq2v/xSc3Mzmpubt/w8FArV9A8CjuMEasPPRX4Of/7qnwMA1jJreGX5FTweeXzL62y85J5WnzRjt3//fjQ0NPjKB0n7tMoEKWdqPZok+UBZNuZD0M+LctkYO02al/Wu9RiGzFHrfCi3XmZrndpyI7/57W/k57ou0um0Ndcv1OyPVl251Xe/9UjaZ3IZKRtzXJIPlGVbPmhi7OQYOyKzTE5OIhaLeQsa58+fRzgcRjQaxcjIiPe6RCKBeDzuPZcvlUqhp6dnx/0xZvMCxj/M/8OW19h4ztMc92uOkf2OKU2fK9h4nLRwjiFnYz5oYeyCYfyISuNOjTr1SOsjaAo1YS2zBiB7Car3P/j+bV9r2/ZSzf5o1SVd/ZS0z+QyUrblOL8dEYxt+aCJsZNj7IjMkEql0N/fX/CzcDjs3Uujp6cHo6OjCIfDmJmZwcTEhPe6iYkJDA8P4/jx47hw4ULBcztFx54OHNx7ELO3ZgEAP57/8bavs/Gcp9UnzdhJxpSmzxVsPE5aOMeQszEftDB2wTB+RMVxUaNONTU0IdoWxU8WfgIA+PHC9hMOx3Gwf/9+zaZVlWZ/tOpyHEd04ydJ+0wuI2VjjvNGanK25YMmxk6OsSMyRzQaLfmNxlgs5t1TY7uyuZ0c8Xi8Ku2rB2+LvM1b1PjJ/E+QcTMIOff+GGrjOU9z3K85RvY7pjR9rmDjcdLCOYacjfmghbELhvEjKo1L9XUsf3v4q4uv4vb67S2vcV0XCwsL1mxX0+yPVl2u62JpaUm0/dpv+0wuI2VjjkvygbJsywdNjJ0cY0dENvm5yM95/761fguvLb1W8LyN5zzNcb/mGNnvmNL0uYKNx0kL5xhyNuaDFsYuGMaPqDQuatSx/AlHBhm8tPDStq9ramrSapIKzf5o1dXYKNs0JWmfyWWkbMtxaT5Qlm35oImxk2PsiMgWb4u8reDxdpegsvGcp9UnzdhJxpSmzxVsPE5aOMeQszEftDB2wTB+RMVxUaOOPd5eeCO/7SYcjuOgpaXFmm2mmv3RqstxHOzdu1d0+Sm/7TO5jJSNOS7JB8qyLR80MXZyjB0R2eTwvsNo29XmPd58s3Abz3ma437NMbLfMaXpcwUbj5MWzjHkbMwHLYxdMIwfUWlc1KhjLbtacHT/Ue/xT+Z/suU1rutibm7Omu1qmv3Rqst1XSwuLoq2X/ttn8llpGzMcUk+UJZt+aCJsZNj7IjIJo7jFOwI//H8jwvObzae8zTH/ZpjZL9jStPnCjYeJy2cY8jZmA9aGLtgGD+i0rioUefyJxwvpV/CemZ9y2v27Nmj2aSq0+yPVl27du0SlZO0z+QyUrbluDQfKMu2fNDE2MkxdkRkk/w5Rno1jWu3rhU8b+M5T6tPmrGTjClNnyvYeJy0cI4hZ2M+aGHsgmH8iIrjokady78E1erGKl5ZfKXgedu2mWr2R6sux3GwZ88e0fZryZZyU8tI2ZjjknygLNvyQRNjJ8fYEZFt3tZReF+Nf5i7dwkqG895muN+zTGy3zGl6XMFG4+TFs4x5GzMBy2MXTCMH1FpXNSoc/nfogKAHy8U3lfDdV3cuHHDmu1qmv3Rqst1XSwsLIi2X/ttn8llpGzMcUk+UJZt+aCJsZNj7IjINm9pfQv2NN77dmj+fTVsPOdpjvs1x8h+x5SmzxVsPE5aOMeQszEftDB2wTB+RKVxUaPOHdhzAJHdEe/xdvfV2Ldvn2aTqk6zP1p17d27V1RO0j6Ty0jZluPSfKAs2/JBE2Mnx9gRkU1CTqhgR/gP535Y8EcVG895Wn3SjJ1kTGn6XMHG46SFcww5G/NBC2MXDONHVBwXNerc/W7kZ9s2U83+aNXlOA6am5tF268lW8pNLSNlY45L8oGybMsHTYydHGNHRDb6+QM/7/37xu0bmL01C8DOc57muF9zjOx3TGn6XMHG46SFcww5G/NBC2MXDONHVBoXNSzweOTet6iW7i7h8spl77HrupidnbVmu5pmf7Tqcl0X8/Pzou3XfttnchkpG3Nckg+UZVs+aGLs5Bg7IrLROw68o+DxD+Z+AMDOc57muF9zjOx3TGn6XMHG46SFcww5G/NBC2MXDONHVBoXNSzw9sjbCx7n38gPANra2jSbU3Wa/dGqq6WlRVRO0j6Ty0jZluPSfKAs2/JBE2Mnx9gRkW0eaX0E+5ruXfbihzd+6P3bxnOeVp80YycZU5o+V7DxOGnhHEPOxnzQwtgFw/gRFcdFDQs8tP8h7G/a7z3+4dy9CYdt20w1+6NVl+M42LVrl2j7tWRLuallpGzMcUk+UJZt+aCJsZNj7IjIRiEnVPDlqdx9NWw852mO+zXHyH7HlKbPFWw8Tlo4x5CzMR+0MHbBMH5EpXFRwwIhJ4S3d9ybcPxo7kfe9rRMJoNr164hk8nUqnkVpdkfrboymQzm5uZ81yNpn8llpGzMcUk+UJZt+aCJsZNj7IjIVvn31UivpvHmzTetPOdpjvs1x8h+x5SmzxVsPE5aOMeQszEftDB2wTB+RKVxUcMS+Ysa6dU0rqxcAZBd2W1vb7dmZVezP1p1OY6D1tZW0TeV/LbP5DJSNua4JB8oy7Z80MTYyTF2RGSr7e6rYeM5T3PcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqjYsalshf1ACyuzUA+7aZavZHqy7HcdDU1CQa1Eu2lJtaRsrGHJfkA2XZlg+aGDs5xo6IbPVQy0No23Xvet4/uvEjK895muN+zTGy3zGl6XMFG4+TFs4x5GzMBy2MXTCMH1FpXNSwRLH7amQyGVy9etWa7Wqa/dGqK5PJ4MaNG6Lt137bZ3IZKRtzXJIPlGVbPmhi7OQYOyKyleM4Bbs1fjj3Q6xvrFt3ztMc92uOkf2OKU2fK9h4nLRwjiFnYz5oYeyCYfyISuOihiWK3VfDcRx0dHRYs7Kr2R+tuhzHQTgcFn1TyW/7TC4jZWOOS/KBsmzLB02MnRxjR0Q2e0fHvUWNm2s38drya9ad8zTH/ZpjZL9jStPnCjYeJy2cY8jZmA9aGLtgGD+i0rioYZHt7qth2zZTzf5o1eU4DhobG0WDesmWclPLSNmY45J8oCzb8kETYyfH2BGRzfJvFg5kd2vYds7THPdrjpH9jilNnyvYeJy0cI4hZ2M+aGHsgmH8iErjooZFtruvRiaTweXLl63ZrqbZH626MpkMrl+/Ltp+7bd9JpeRsjHHJflAWbblgybGTo6xIyKbHdp7CB27O+C6LuZ+PIezf3gWp0+fxr/6V/8K3/72t+G6bq2bGJjmuF9zjOx3TGn6XMHG46SFcww5G/NBC2MXDONHVFpjrRtAlZO7r8by2jKA7Leoet/Si0OHDiEUsmP9KhQKqfVHq65QKIRIJOK7Hkn7TC4jpVmXBmk+UJZt+aCJsZNj7IjIZhsbG1j860VM/dEU0qk0AOA/4T95z7/73e/GZz/7WXzqU59CY2N9Ti81x/2aY2S/Y0rT5wo2HictnGPI2ZgPWhi7YBg/otL4m2GRzffV+MGNHyDjZqzbqqbZH626pPVIyplcRoo5TvkYPznGTo6xIyIbrays4Mknn8RX/39fRTqVRrPj4MMtLfhkWxs+3NKCZsfBiy++iFOnTuHJJ5/EyspKrZssZvq4X6suk8sEKWdqPZps7JMWxk6OsQuG8SMqjosalnnHgeyN/FzXxaXvX8L//vv/O373d3/Xmu3hmUwGV69eVduyrVFXJpPB3NycaPu13/aZXEZKsy4N0nygLNvyQRNjJ8fYEZGN1tfXcfLkSTz33HPY7Tj4rc5OfKPrUXzxwYfwLw4fwRcffAjf6HoUv9XZiWbHwXPPPYeTJ09ifX291k33TXPcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqrT73B1NRbw+/Hak/T+Hl515GOpXG83i+4Pl63x4eCoVw+PBhtS3bGnWFQiF0dHSItl/7bZ/JZaQ069IgzQfKsi0fNDF2cowdEdnoy1/+sreg8exDRxHbu3fLa8INDfh0pAPv3r0H/+yN1/Hcc8/hK1/5Cj796U/XoMVymuN+zTGy3zGl6XMFG4+TFs4x5GzMBy2MXTCMH1Fp/M2wyMrKCv6Hf/o/4OIXLlq9PVxzt4lWXdJ6JOVMLiNV7zuQNrOtP9oYPznGTo6xIyKbuK6LL37xiwCAzx44sO2CRr7uvXvxuQMHAABf+MIX6vKcaPq4X6suk8sEKWdqPZps7JMWxk6OsQuG8SMqjosaltgp28MzmQyuXbumtmVbo65MJoP5+XnR9mu/7TO5jJRmXRqk+UBZtuWDJsZOjrEjItt85zvfwYsvvohmx8FTbeGyyjzVFva+RPXCCy9Ut4EVpjnu1xwj+x1Tmj5XsPE4aeEcQ87GfNDC2AXD+BGVxkUNS2zeHv7pSAfCDQ0Fr8ltD3/2oaPewsZXvvKVGrVYJhQK4YEHHlDbsq1RVygUQmdnp2j7td/2mVxGSrMuDdJ8oCzb8kETYyfH2BGRbS5evAgAeP++fVvmFMWEGxrw/n37AAAXLlyoWtuqQXPcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqjb8ZFthJ28Nd18Xa2ppKm7Xqcl0X6+vrvuuRtM/kMlKadWmQ5gNl2ZYPmhg7OcaOiGyzvLwMAGgvc0EjJxxqKChfLzTH/ZpjZL9jStPnCjYeJy2cY8jZmA9aGLtgGD+i0rioYYGdtD3cdV3Mzc2pTQQ06nJdF+l0WjSo99s+k8tIadalQZoPlGVbPmhi7OQYOyKyzf79+wEACxsbvsqlMxsF5euF5rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1QaFzUssJO2h4dCIRw+fFhty7ZGXaFQCAcOHBBtv/bbPpPLSGnWpUGaD5RlWz5oYuzkGDsisk1PTw8A4FsrK0iXubCR3tjAt1ZWAADHjx+vWtuqQXPcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqjb8ZFthJ28Nd18Xdu3fVvt2kUVeQ7dd+22dyGSnNujRwi2kwtuWDJsZOjrEjIts88cQTePe7341V18UfL6bLKvPHi2msui7e85734L3vfW91G1hhmuN+zTGy5LJQJs8VbDxOWjjHkLMxH7QwdsEwfkSlcVHDAjtpe7jrulhYWFCbCGjU5boulpaWRIN6v+0zuYyUZl0apPlAWbblgybGTo6xIyLbOI6Dz372swCAL9y4geStWyVfP33rFr5w4wYA4LOf/Swcx6l6GytJc9yvOUb2O6Y0fa5g43HSwjmGnI35oIWxC4bxIyqNixoW2Enbw0OhEA4dOqS2ZVujrlAohI6ODtH2a7/tM7mMlGZdGqT5QFm25YMmxk6OsSMiG33qU5/Cr/zKr2DVdfHpN17Hv5mf2zLXSG9s4N/MzeGfvfE6Vl0Xn/jEJ/Abv/EbNWqxnOa4X3OM7HdMafpcwcbjpIVzDDkb80ELYxcM40dUGn8zLLCTtoe7rovV1VW1bzdp1BVk+7Xf9plcRkqzLg3cYhqMbfmgibGTY+yIyEaNjY04f/68t7DxB9ev48MzL+Ozb76B371yBZ998w18aOZl/MGN696Cxrlz59DY2FjrpvumOe7XHCNLLgtl8lzBxuOkhXMMORvzQQtjFwzjR1QaFzUssNO2hy8uLlpX182bN0XlJO0zuYyUZl0apPlAWbblgybGTo6xIyIb7du3D3/yJ3+CZ5991vsS1Tdu3sR/XFrEN27exF3XReejnXj22Wfxta99Dfv27at1k8W0zuOanxeSMaXpcwUbj5MWzjHkbMwHLYxdMIwfUXGOu8OW/JaWltDW1obFxUW0trbWpA2ZTAazs7M4ePBgxbaRra+v48knn8Rzzz2HZsfB5w4cwFNtYYTzbh6e3tjAH6fT+MLcDe/bVF/72tfq8ttUNqlGPlD9Yj5QPuYD5WM+UD5T8sGEsbUJTIhDtXPCdV288MILuHDhAr516Vv48cqPEXksgshbI/jD3j9Ex56OitdJcqacI8gMzAfKx3ygfMwHymdCPpQ7ruZfsy2R2x5+8uRJPPfcc/iD69fxhRs38P59+xAONSCd2cA3V1Zw92drWPW6Pdx1Xdy5cwe7d++u+g4TrbqCbL/22z6Ty0hp1qWBW0yDsS0fNDF2cowdEe0EjuPgiSeewHvf+1588MoH8S+m/wXws1Pe965/Dx95+CO1bWAAmuN+zTGy5LJQJs8VbDxOWjjHkLMxH7QwdsEwfkSlcQnOIuVsD3/85x+v++3hKz+7wblNdd26zyXDipG0z+QyUpp1aZDmA2XZlg+aGDs5xo6IdpKDjQfR0tTiPf7u7Hdr2JrK0DqPa35eSMaUps8VbDxOWjjHkLMxH7QwdsEwfkTF1fxr+slkEolEAgBw4cIFnD17FuFw2HsOAGKxGFKpFNLpNGKxGAAglUphcnIS0WgUqVQKAwMDXrmdrLGxEZ/+9Kfxm7/5m3jhhRfwN3/3N/h33/13aNjTgMhjEfz6x34dn/r5T9W6mWKO4+DAgQNW1eU4Dtrb232vvEvaZ3IZKc26NEjzgbJsywdNjJ0cY0dEO4njODh08BB+4eAv4JuXvwkA+P7172NtYw1NDU01bp2M5rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1RazXdqJBIJDA0NYWhoCMePH8eJEye858bGxtDd3Q3HcTA4OIhoNOo919/fj6GhIcTjccTjcZw6daoWzTdWbnv4b/1Pv4Vf+9Sv4bFPPIaOxzvq/ltUruvi1q1bKttmtepyXRe3b98WXX7Kb/tMLiOlWZcGaT5Qlm35oImxk2PsiGgnyZ3zYgdj3s/ubNzBD+d+WMNWBaM57tccI/sdU5o+V7DxOGnhHEPOxnzQwtgFw/gRlVbTRY1kMokzZ854j+PxOJLJJFKpFACgu7sbCwsLWFhYwNTUlLcTI/d8TjQa9XZ70FbvaH2H9++rt67iys0rNWxNcLdv37aurrt374rKSdpnchkpzbo0SPOBsmzLB02MnRxjR0Q7ye3bt/ELnb+ABqfB+9nFaxdr2KLgtM7jmp8XkjGl6XMFG4+TFs4x5GzMBy2MXTCMH1FxNV3UiMViOHv2rPc4nU4DACKRiPezcDi85bJSiUSi4DW5MrnLVdE9juPgfY++z7uJHwAkZ+s3To7joKOjQ2XbrFZdjuOgra1NdPkpv+0zuYyUZl0apPlAWbblgybGTo6xI6KdJHfO29+8H2+LvM37+fS16br9NqnmuF9zjOx3TGn6XMHG46SFcww5G/NBC2MXDONHVFrN76kRj8e9f587dw69vb3eIkY6ncbk5CSA7P02cpegyi1+bDY/P7/lZ6urq1hdXfUeLy0tAQAymQwymUyFeuFPJpOB67oq9buui3a0I7IrgvnVbHyS15L4+CMfr3rd1eC6LlZWVrBv376qn9i16trY2MDKygo2NjZ8lZO0z+QyUpp1aZDmA2XZlg/anxc2xU6TVuw084HMZ0o+1Lp+0pd/zus+1I0fzP0AADB/Zx6Xli4h2ha9zzuYR+s8rj1GllwWyuS5go3HSQsvYyNnYz5oYeyCYfyISqv5okZObgFjenra+1n+zb+j0Sj6+vowMzNT8j02O3PmDJ555pktP79+/Tru3LkTuN0SmUwGi4uLcF0XoVB1N8u4rovl5WU8uu9RfHPlZzfyu/Z9vHblNexu2F3Vuqsh15/9+/erTAQ06trY2MD8/Dx2796NhoaG+xcI0D6Ty0hp1qVBmg+UZVs+1OLzwpbYadKKnWY+kPlMyYfl5eWa1U21s7a2BgDoPtSNr/zoK97Pp69N1+WiBnCvT7bUAwDr6+u+y0jap1UmSDlT69EkyQfKsjEftDB2wTB+RMUZs6gxPDxccN8MIHvvjFgsewO6aDSKVCqFVCqFcDi8ZVfG/Pz8lstUAcDp06fx+c9/3nu8tLSEo0ePorOzE62trVXpy/1kMhk4joPOzk6VSeihQ4fwy/t/GS/Mv+D97Aqu4ImDT1S97mo4dOiQVXVlMhmEQiFRPkjaZ3IZKc26qi1IPlCWbfmg/XlBMlqfF5r5QGYzJR92766/L8lQMI7joL29HQBwaN8hPNTyEN64+QYA4OLVi+h/a38tmyeS3ycb6snV1dra6vuyUH7bp1UmSDlT69EkyQfKsjEftDB2wTB+RKUZsagxOjqK4eHhgktLpVIpnDhxAgsLCwWvjUQi6O3txdjY2Jb36enp2fKz5uZmNDc3b/l5KBSq6QTQcRyVNriui5s3b+LnD/w8mhqasJbJrvK+eONF/OKDv1jVuqsh15+WlhaVHQAadeW2AudyoprtM7mMlGZdGqT5QFm25QOg/3lhU+y0aMZOKx+oPpiQD8zFnWfzOa/ncA/eeDm7qPHK0iuYuz2Hjj0dNW6lP5rjfs0x8srKiu/LT5k8V7DxOGmR5ANl2ZgPWhi7YBg/otJqPguZnJxELBbzFjTOnz+PcDiMaDSKkZER73WJRALxeNx7Ll8qlUJPT8+2OzUoezmb3Y278faOt3s/e3H2RWTc+rwGsua9BrTqkl6PWtI+k8tI2Xb/CV6fPBjb8kETYyfH2BHRTpJ/zus+1F3w3PS16c0vrwta53HNzwvJmNL0uYKNx0kL5xhyNuaDFsYuGMaPqLia7tRIpVLo7y/cnhwOh717afT09GB0dBThcBgzMzOYmJjwXjcxMYHh4WEcP34cFy5cKHiO7nEcx1vsiR2M4XvXvwcASK+m8criK4iG6+uat/n9saUux3FE12GXtM/kMlKadWmQ5gNl2ZYPmhg7OcaOiHaSzee8R8OPom1XGxbvLgLILmp89JGP1qh1Mprjfs0xst8xpelzBRuPkxbOMeRszActjF0wjB9RaTXdqRGNRuG6bsF/+ZebisViGBoawsDAQMGujVzZkZERxONxjIyM8Be9CNd1sbS0BNd18Z6D7yl4LjmbrFGr5PL7Y0tduS2FfuuRtM/kMlKadWmQ5gNl2ZYPmhg7OcaOiHaSzee8kBPCew7dm2f8YO4HuL1+u1bNE9Ec92uOkf2OKU2fK9h4nLRwjiFnYz5oYeyCYfyISqv55adIz6F9h/Bgy4Pe4+S1+lvUICIiIiIis/Qcundvw/XMOr5//fs1bA0RERER2Y6LGpZzHAetra3eNtP8a97OLM7gxu0btWqayOb+2FCX4ziiGz9J2mdyGSnNujRI84GybMsHTYydHGNHRDvJdue8dx54J5pCTd7jF66+UIumiWmO+zXHyH7HlKbPFWw8Tlo4x5CzMR+0MHbBMH5EpXFRw3Ku6yKdTnvb1Y4fPl7w/MWrF2vRLLHN/bGhLtd1sby8LNp+7bd9JpeR0qxLgzQfKMu2fNDE2MkxdkS0k2x3ztvduBvv6nyX93j62jTWNtZq0TwRzXG/5hjZ75jS9LmCjcdJC+cYcjbmgxbGLhjGj6g0LmrsAA0NDd6/Hw0/ivbmdu/xd65+pxZNCiS/P7bUFQrJfhUl7TO5jJRmXRqk+UBZtuWDJsZOjrEjop1ku3Pe+468z/v37fXb+Psbf6/ZpMC0zuOanxeSMaXpcwUbj5MWzjHkbMwHLYxdMIwfUXH8VLOc4zjYv3+/t10t5IQKdmv8eO7HWLq7VKvm+ba5PzbU5TgO9u3bJ9p+7bd9JpeR0qxLgzQfKMu2fNDE2MkxdkS0kxQ753Uf6kaj0+g9/s6V+vnylOa4X3OM7HdMafpcwcbjpIVzDDkb80ELYxcM40dUGhc1LOe6LhYWFgq2q7338Hu9f2eQwfTV6Vo0TWS7/tR7Xa7rYmlpSbT92m/7TC4jpVmXBmk+UJZt+aCJsZNj7IhoJyl2ztvXtA/v7Hyn9/jCtQtYy9THJag0x/2aY2S/Y0rT5wo2HictnGPI2ZgPWhi7YBg/otK4qLEDNDU1FTx+W8fb0NLU4j2utxv5be6PDXU1Njbe/0XbkLTP5DJSmnVpkOYDZdmWD5oYOznGjoh2kmLnvCcOP+H9e2VtBT+88UOtJgWmdR7X/LyQjClNnyvYeJy0cI4hZ2M+aGHsgmH8iIrjooblHMdBS0tLwXa1xlAjYodi3uO/v/H3uL1+uxbN8227/tR7XY7jYO/evaLt137bZ3IZKc26NEjzgbJsywdNjJ0cY0dEO0mpc97xw8fR4Ny7/ne9XIJKc9yvOUb2O6Y0fa5g43HSwjmGnI35oIWxC4bxIyqNixqWc10Xc3NzW7ar5V+Cai2zhhdnX1RumUyx/tRzXa7rYnFxUbT92m/7TC4jpVmXBmk+UJZt+aCJsZNj7IhoJyl1zmvZ1YJ3dLzDe3zh6gVsZDY0myeiOe7XHCP7HVOaPlew8Thp4RxDzsZ80MLYBcP4EZXGRY0dYM+ePVt+9q7Od2FXaJf3uJ4uQbVdf+q9rl27dt3/RduQtM/kMlKadWmQ5gNl2ZYPmhg7OcaOiHaSUue89x15n/fv5bVl/GjuRxpNCkzrPK75eSEZU5o+V7DxOGnhHEPOxnzQwtgFw/gRFcdFDcsV22ba3NCM9xx8j/c4eS2JtQ3zb+SnuW1Wqy7HcbBnzx7R9mvJlnJTy0jZtpVamg+UZVs+aGLs5Bg7ItpJ7nfO6zncg1DeNPPbV76t1TQxzXG/5hjZ75jS9LmCjcdJC+cYcjbmgxbGLhjGj6g0LmpYznVd3LhxY9vtaj2He7x/39m4gx/OmX8jv1L9qde6XNfFwsKCaPu13/aZXEZKsy4N0nygLNvyQRNjJ8fYEdFOcr9zXltzG97e8Xbv8QtXX0DGzWg1T0Rz3K85RvY7pjR9rmDjcdLCOYacjfmghbELhvEjKo2LGjvAvn37tv157GCs4EZ+9fAtKqB4f+q5rr1794rKSdpnchkpzbo0SPOBsmzLB02MnRxjR0Q7yf3OeU8cecL799LdJfzD/D9Uu0mBaZ3HNT8vJGNK0+cKNh4nLZxjyNmYD1oYu2AYP6LiuKhhuVLbTLe7kd96Zl2zeb5pbpvVqstxHDQ3N4u2X0u2lJtaRsq2rdTSfKAs2/JBE2Mnx9gR0U5SzjnvvYffCwf3nv+7y3+n0TQxzXG/5hjZ75jS9LmCjcdJC+cYcjbmgxbGLhjGj6g0LmpYznVdzM7OFt2u9v4H3u/9++baTfzgxg+0miZyv/7UY12u62J+fl60/dpv+0wuI6VZlwZpPlCWbfmgibGTY+yIaCcp55wX3h3G2zre5j3+9uVvG/3lKc1xv+YY2e+Y0vS5go3HSQvnGHI25oMWxi4Yxo+oNC5q7ABtbW1Fnzt++DganUbv8Tcvf1OjSYGU6k+91tXS0iIqJ2mfyWWkNOvSIM0HyrItHzQxdnKMHRHtJOWc8z7wwAe8fy+vLeP7179fzSYFpnUe1/y8kIwpTZ8r2HictHCOIWdjPmhh7IJh/IiKa7z/S6ie5baZFtOyqwXv6nwXkrNJAMALV17AwDsH0NTQpNVEX+7Xn3qsy3Ec7Nq1S7T92m/7TC4jpVmXBmk+UJZt+aCJsZNj7IjMkkwmkUgkAAAXLlzA2bNnEQ6HAQCpVAqTk5OIRqNIpVIYGBgo6zm6p9xz3hNHnsC//eG/9XZo/O2bf4vYoVi1myeiOe7XHCP7HVOaPlew8Thp4RxDzsZ80MLYBcP4EZXGnRqWy2QyuHbtGjKZTNHX5F+C6s7GHXx39rsaTRMppz/1Vlcmk8Hc3JzveiTtM7mMlGZdGqT5QFm25YMmxk6OsSMySyKRwNDQEIaGhnD8+HGcOHHCe66/vx9DQ0OIx+OIx+M4depUWc/RPeWe81p2teA9ne/xHl+8dhG3129Xu3kimuN+zTGy3zGl6XMFG4+TFs4x5GzMBy2MXTCMH1FpXNSwnOM4aG9vL/mNjJ7DPWgK3duZ8a3L39Jomkg5/am3uhzHQWtrq2inht/2mVxGSrMuDdJ8oCzb8kETYyfH2BGZI5lM4syZM97jeDyOZDKJVCqFVCpV8NpoNOrt6Cj1HBXyc877pQd/yfv36sYqLl69WM2miWmO+zXHyH7HlKbPFWw8Tlo4x5CzMR+0MHbBMH5EpXFRw3LlbDPd07inYCv49LVpY79FpbltVqsux3HQ1NQkGtRLtpSbWkbKtq3U0nygLNvyQRNjJ8fYEZkjFovh7Nmz3uN0Og0AiEQiSCQSiEQiBa+PRCLe5aqKPUeF/Jzzug91Y3fDbu+xqffv0xz3a46R/Y4pTZ8r2HictHCOIWdjPmhh7IJh/IhK4z01LJfJZDA7O4uDBw8iFCq+hvVLD/wSvnPlOwCAu5m7SF5LFnyzyhTl9qee6spkMrhx4wYOHDjgqx5J+0wuI6VZlwZpPlCWbfmgibGTY+yIzBKPx71/nzt3Dr29vQiHw94Cx2bz8/Mln9vO6uoqVldXvcdLS0sAsueDWl0mIpPJwHVdlUvzlHvOa3Qa8d7D78Vfv/HXAIAXZ19E+nYarc2tVW2jX5rjfq3Pi/X1dVy/fh2RSASNjeVN+02fK9h4nLRI8oGybMwHEz8vaCvNc55GPlB9MCEfyq2bn2aWcxwHHR0d913Zfc/B92B3w27c2bgDIPstKhMXNcrtTz3V5TgOwuGw6JtKfttnchkpzbo0SPOBsmzLB02MnRxjR2SmdDqNyclJTE9P3/d1fp87c+YMnnnmmS0/v379Ou7cueOnmRWTyWSwuLgI13Wr+seP3ET3+vXrZZ333r7n7Xh+/Xnv8Z//5M/xwcMfrFr7JPz2yfR6AGBjYwNANicbGhrKKiNpn1aZIOX80jxOWiT5QFk25oOpnxdUSCt+WvlA9cGEfFheXi7rdVzUsFxum+n97GrYheOHj+Nv3vwbAMD3Zr+Hm3dvomVXS7Wb6Eu5/amnuhzHQWNjo2hRw2/7TC4jpVmXBmk+UJZt+aCJsZNj7IjMNDw8jKmpKYTDYQBAOBzesvNifn4e4XC45HPbOX36ND7/+c97j5eWlnD06FF0dnaitbU2uxAymQwcx0FnZ6dRf5ToONCBr772VSytZnez/ODmD9B/sL/GrbJfJpNBKBQyLh+oNpgPlM/UzwuqDeYD5TMhH3bv3n3/F4GLGtbLZDK4evUqDh8+fN9kfP8D7/cWNdbddVy4egEffvjDGs0sm5/+1EtduZV3yeWn/LbP5DJSmnVpkOYDZdmWD5oYOznGjsg8o6OjGB4eRjQa9XZb9Pb2YmxsbMtre3p6EI1Giz63nebmZjQ3N2/5eSgUqul5wHGcqrfB7zkvFArhAw9+AM9deg4A8NP0T3Hjzg0c3Huwam30S3PcrzlGvnHjhq8/Spg+V7DxOGmR5ANl2ZgPgJmfF1RIM34a+UD1o9b5UG69zFbLhUIhHDp0qKyEeGfnO9HSdG9nhok38vPTn3qpKxQKIRKJ+K5H0j6Ty0hp1qVBmg+UZVs+aGLs5Bg7IrNMTk4iFot5Cxrnz59HOBxGNBoteF0qlUJPT899n6NCknPeBx78QMHjb75p1jxDc9yvOUb2O6Y0fa5g43HSwjmGnI35oIWxC4bxIyqNOzV2gHIvY9MUasL7jrwPidcSAIAf3PgBbty+gQN7DlSzeb5pXpZHqy5pPZJyJpeRsu1STbb1RxvjJ8fYyTF2RGZIpVLo7y+8tFE4HMbAwAAAYGJiAsPDwzh+/DguXLiAiYkJ73WlnqNCfs950bYojuw7gisrVwAAf/n6X+K/fvS/Nurcafq4X6suk8sEKWdqPZps7JMWxk6OsQuG8SMqjst9lsttVyv3zvG//NAve/924eJv3/zbajVNxG9/6qGuTCaDubk53/VI2mdyGSnNujRI84GybMsHTYydHGNHZI5oNArXdQv+W1hYKHh+ZGQE8XgcIyMjBTsxSj1H90jOeY7j4IMP3bs5+NVbV/Hj+R9Xo3kimuN+zTGy3zGl6XMFG4+TFs4x5GzMBy2MXTCMH1FpXNSwXCgU8nX9vbe2vxWH9h7yHv/1G38N13Wr1Tzf/PanHuoKhULo6OgQbb/22z6Ty0hp1qVBmg+UZVs+aGLs5Bg7ItpJpOe8X37olxHKm37+5et/WdmGBaA57tccI/sdU5o+V7DxOGnhHEPOxnzQwtgFw/gRlcbfjB3Az6KE4zgFuzXevPkmZtIz1WiWmOYii1Zd0nok5UwuI2XSwlsl2NYfbYyfHGMnx9gR0U4iOed17OnAOzvf6T3+9pVv4/b67Uo2KxDTx/1adZlcJkg5U+vRZGOftDB2coxdMIwfUXFc1LBcJpPBtWvXfG1Xy1/UAIC/fvOvK90sMUl/TK8rk8lgfn5etP3ab/tMLiOlWZcGaT5Qlm35oImxk2PsiGgnCXLO+9DRD3n/vrNxB9++/O0KtkxOc9yvOUb2O6Y0fa5g43HSwjmGnI35oIWxC4bxIyqNixqWC4VCeOCBB3xtVzu49yDeFnmb9/ibb34Taxtr1Wieb5L+mF5XKBRCZ2enaPu13/aZXEZKsy4N0nygLNvyQRNjJ8fYEdFOEuScd/zQcbQ0tXiP//KNv6xgy+Q0x/2aY2S/Y0rT5wo2HictnGPI2ZgPWhi7YBg/otL4m2E513Wxtrbme8ta/m6Nm2s38d3Z71a6aSLS/phcl+u6WF9f912PpH0ml5HSrEuDNB8oy7Z80MTYyTF2RLSTBDnnNTU04Zce/CXv8Y/nf4wrN69UsnkimuN+zTGy3zGl6XMFG4+TFs4x5GzMBy2MXTCMH1FpXNSwnOu6mJub830SfN+R92FXaJf3+K/e+KtKN01E2h+T63JdF+l0WjSo99s+k8tIadalQZoPlGVbPmhi7OQYOyLaSYKe8z700IcKHpswz9Ac92uOkf2OKU2fK9h4nLRwjiFnYz5oYeyCYfyISuOihuVCoRAOHz7se7va3qa9OH74uPf4u7PfxeLqYqWb55u0PybXFQqFcODAAdH2a7/tM7mMlGZdGqT5QFm25YMmxk6OsSOinSToOe9Y2zE8vP9h7/FfvfFXyLi1vV645rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1QafzMs57ou7t69K1rZzb8E1Ya7gW9d/lYlmyYSpD+m1hVk+7Xf9plcRkqzLg3cYhqMbfmgibGTY+yIaCcJes5zHKfghuHzd+bx/evfr1DrZDTH/ZpjZMlloUyeK9h4nLRwjiFnYz5oYeyCYfyISuOihuVc18XCwoLoJPiuznehvbnde/yN175R85NpkP6YWpfrulhaWhIN6v22z+QyUpp1aZDmA2XZlg+aGDs5xo6IdpJKnPM+8OAH0OA0eI+ff+35SjRNTHPcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqjYsalguFQjh06JBou1rICRXs1nh1+VXMpGcq2TzfgvTH1LpCoRA6OjpE26/9ts/kMlKadWmQ5gNl2ZYPmhg7OcaOiHaSSpzz2prbCi51e/HqRczdnqtE80Q0x/2aY2S/Y0rT5wo2HictnGPI2ZgPWhi7YBg/otL4m2E513WxuroqXtn9yMMfKXiceC1RiWaJBe2PiXUF2X7tt30ml5HSrEsDt5gGY1s+aGLs5Bg7ItpJKnXO63tLn/fvDDL4xuvfCNo0Mc1xv+YYWXJZKJPnCjYeJy2cY8jZmA9aGLtgGD+i0riosQMsLspv8H1432G888A7vcd/d/nvcGvtViWaJRakP6bWdfPmTVE5SftMLiOlWZcGaT5Qlm35oImxk2PsiGgnqcQ57x0d78CRfUe8x8+/9jw2MhuB31dK6zyu+XkhGVOaPlew8Thp4RxDzsZ80MLYBcP4ERXHRQ3LOY6DgwcPwnEc8Xvk79a4s3GnpjcMr0R/TKvLcRxEIhHf9UjaZ3IZKc26NEjzgbJsywdNjJ0cY0dEO0mlznmO46D3Lb3e4/k78/ju7HeDNk/cFq1xv+YY2e+Y0vS5go3HSQvnGHI25oMWxi4Yxo+oNC5qWM51Xdy+fTvQdrXjh4+jdVer97iWl6CqRH9MqyvI9mu/7TO5jJRmXRq4xTQY2/JBE2Mnx9gR0U5SyXPeBx/6IJpCTd7jqVenAr+nhOa4X3OMLLkslMlzBRuPkxbOMeRszActjF0wjB9RaVzU2AFWVlYClW8KNeGDD33Qe3xp8RJS6VTQZokF7Y+Jdd26Jbukl6R9JpeR0qxLgzQfKMu2fNDE2MkxdkS0k1TqnLd/13784gO/6D3+3vXvYfbWbEXe2y+t87jm54VkTGn6XMHG46SFcww5G/NBC2MXDONHVBwXNSznOA4OHDgQeLvaiYdPFDx+/rXnA72fVKX6Y1JdjuOgvb1dtP3ab/tMLiOlWZcGaT5Qlm35oImxk2PsiGgnqfQ5r/fhe5egcuEi8ar+rnDNcb/mGNnvmNL0uYKNx0kL5xhyNuaDFsYuGMaPqLRGSaGlpSWcP38eMzMzSKWy39iPRCIIh8P46Ec/ig9/+MMVbSTJ5bar7dmzJ9CJ8EjLEby94+340dyPAAB/++bf4tff/uvY07inUk0tS6X6Y1JdQbdf+2mfyWWkNOvSwC2mwdiWD5oYOznGjqgyOMeoD5U+5721/a14y/634NXlVwEA33j9G+h/vL/gslTVpj3u1xwjSy4LZepcwcbjpIVzDDkb80ELYxcM40dUmq+dGi+++CI++tGPor29HV/60pewsLCAY8eO4dixY2hra8PMzAyeeuopNDQ04DOf+QyWlpaq1W7y4fbt2xV5n/zdGrW8YXil+mNSXXfv3hWVk7TP5DJSmnVpkOYDZdmWD5oYOznGjkiOc4z6U8lz3uYbhi/dXcILV16o2PuXS+s8rvl5IRlTmj5XsPE4aeEcQ87GfNDC2AXD+BEVV/ZOjd///d/HuXPnMDg4iImJCbS1tRV9bTqdxvj4OLq7uzE+Ps5vVdWQ4zjo6OioyHs9cfgJ/D9N/w9urt0EAHz9la/jI0c/orpiXMn+mFKX4zhoa2sTbb/22z6Ty0hp1qVBmg+UZVs+aGLs5Bg7IjnOMepPNc55H3jwA/ijf/gj3Nm4AwD4s0t/hl968JcqWkcpmuN+zTGy3zGl6XMFG4+TFs4x5GzMBy2MXTCMH1FpZe3UeP757P0TLl68iFOnTpWcbABAOBzG0NAQLly4gD/8wz8M3koSc10XN2/erMg206aGJnzo6Ie8x68svYKfLvw08Pv6Ucn+mFKX67q4deuW6PJTfttnchkpzbo0SPOBsmzLB02MnRxjRyTDOUZ9qsY5b2/TXnzw6Ae9xy+lX8LLCy9X7P3vR3PcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqraxFjRMnTuC3f/u3fb95OBzG+fPnfZejylpbW6vYe330LR+Fg3vf7vgvr/yXir13uSrZH1PqWl9fF5WTtM/kMlKadWmQ5gNl2ZYPmhg7OcaOyD/OMepXNc55H3/k4wWPn7v0XMXrKEXrPK75eSEZU5o+V7DxOGnhHEPOxnzQwtgFw/gRFefrnhpUfxzHQXt7e8W2mR7adwixQzHv8XeufAfzd+Yr8t7lqHR/TKjLcRy0traKLj/lt30ml5HSrEuDNB8oy7Z80MTYyTF2RLSTVOucd6TlCN5z8D3e429f+bbaPENz3K85RvY7pjR9rmDjcdLCOYacjfmghbELhvEjKq3se2r8xV/8Rdlv+pGPfETUGKq83Ha1lpaWip0IP/bIxzB9bRoAsOFuIPFqAicfP1mR976favSn1nW5rouVlRXx9ms/7TO5jJRmXRqk+UBZtuWDJsZOjrEjkuMco/5U85z38WMfx3dnvwsgO8/4+itfx3/zc/9NRevYjua4X3OM7HdMafpcwcbjpIVzDDkb80ELYxcM40dUWtmLGvF4vOTzuV+wxcVFbms0zMbGRkXf750H3okH9j2AyyuXAQCJVxP4J4/9EzSFmipaTzGV7o8JdWUyGVE5SftMLiOlWZcGaT5Qlm35oImxk2PsiGQ4x6hP1TrnvevAu/Bgy4N48+abAIDEawk89dhTaGqo/jxD6zyu+XkhGVOaPlew8Thp4RxDzsZ80MLYBcP4ERVX9uWn5ufnS/73e7/3e3BdF4888kgVm0t+OY6DcDhc0VXdkBPCx459zHu8eHcR37787Yq9fynV6E+t63IcB/v37xdtv/bbPpPLSGnWpUGaD5RlWz5oYuzkGDsiOc4x6k81z3mO4+Djx+7dW2P57jL+9s2/rXg929WrNe7XHCP7HVOaPlew8Thp4RxDzsZ80MLYBcP4EZUW+J4a//Jf/kt0dHRgdHQUZ8+excsvv1yJdlGFuK6LpaWlim8z/eBDH8Tuht3eY60bhlerP7WsK7elUHL5Kb/tM7mMlGZdGqT5QFm25YMmxk6OsSOqPM4xzFXtc94/evAfoaWpxXv8Z5f+TGU8rjXu1xwj+x1Tmj5XsPE4aeEcQ87GfNDC2AXD+BGVJlrUWFpawu/8zu+go6MD586dw/nz5/HSSy/hqaeeqnT7yFB7Gvfgg0c/6D1+Of0yZtIzNWwREREREdUzzjEIAHY37sZHHr53/5RXl1/Fj+Z+VMMWEREREZFpfC1q5CYa4XAYyWQS58+fx4ULF3DixAlxA5LJJEZHRzE6Oor+/n6k02nvuVQqhdHRUUxOTmJ0dLTs5+gex3HQ2tpale1q//iRf1zw+E9Tf1rxOjarZn9qVZfjOKIbP0naZ3IZKc26NEjzgbJsywdNjJ0cY0cUTDXmGFQ9Gue8jz3yMYTypqr/38z/V7W6AN1xv+YY2e+Y0vS5go3HSQvnGHI25oMWxi4Yxo+otLIXNT7zmc+gvb0d3/3ud5FMJvH1r3+9IhONRCKBoaEhDA0N4fjx4wXv2d/fj6GhIcTjccTjcZw6daqs5+ge13WRTqersl3tgZYH8Audv+A9/rvLf4cbt29UvJ581exPrepyXRfLy8ui7dd+22dyGSnNujRI84GybMsHTYydHGNHJFetOQZVj8Y578CeA3jfA+/zHr94/UW8uvRq1erTHPdrjpH9jilNnyvYeJy0cI4hZ2M+aGHsgmH8iEprLPeFY2NjiEajCIfDOHPmTMnXnjt3rqz3TCaTOHPmDIaGhgAA8Xgcw8PDSKVSW14bjUaRSCQAYMvz+c/RVg0NDVV771+N/iq+d/17AIAMMvizS3+G/+7t/13V6gOq259a1RUKyW5vI2mfyWWkNOvSIM0HyrItHzQxdnKMHZFMNeYYVH0a57xf6/o1fOvyt7zH/2nmP+Fz7/lc1erTOo9rfl5IxpSmzxVsPE5aOMeQszEftDB2wTB+RMWVvaiRW3iopFgshrNnz3qPc5eQikQiOH/+PCKRSMHrI5EIkskkLl68WPS5WCxW8XbWM8dxsH///qq9/zsPvBNv2f8WvLqc/eZU4tUEnnrsKext2luV+qrdn1rU5TgO9u3bJ9p+7bd9JpeR0qxLgzQfKMu2fNDE2MkxdkRy1ZhjUHVpnfOOtR3DOw+8E39/4+8BAN9885t4+vGn0bm3s+J1aY77NcfIfseUps8VbDxOWjjHkLMxH7QwdsEwfkSllb2o8Xu/93tVaUA8Hvf+fe7cOfT29iIcDhe9R8b8/HzJ5zZbXV3F6uqq93hpaQkAkMlkkMlk5A0PIJPJwHVdlfpz29XC4XDVBjCfiH4C//rFfw0AuLN+B4lXE/jV6K9WpS6N/mjXtbGxgcXFRXR0dPgqJ2mfyWWkNOvSIM0HyrItH2z7vLCVVuw084HMZ0o+BK2/WnMMqh7Nz4snu570FjUyyOC5S8/hN97xGxWvR6tP2mPkpaUldHaWvwhk+lzBxuOkRZIPlGVjPmhh7IJh/IhKK3tRo9rS6TQmJycxPT1939f5ee7MmTN45plntvz8+vXruHPnjt9mVkQmk8Hi4iJc1636FlDXdXH79m3cvXu3aifBroYu7AvtQ/puGgDwtZ98Dd17u9EQqvw2OY3+aNe1sbGBW7duYXZ21tfWQkn7TC4jpVmXBmk+UJZt+WDb54WttGKnmQ9kPlPyYXl5uWZ1U+00NTWp1PPzB34ex9qO4dLiJQDA8689j08+9kns31X5b65q9UmrHgBobPQ/3Ze0T6tMkHKm1qNJkg+UZWM+aGHsgmH8iIor61Pt+eefx+LiIj75yU/6ruAzn/kM/vAP//C+rxseHsbU1BTC4TAAIBwOb9l5MT8/j3A4XPK5zU6fPo3Pf/7z3uOlpSUcPXoUnZ2daG1t9d2fSshkMnAcB52dndb8UeLJtz6Jr/74qwCAlcwKZjZm8IHDH6hxq+pDJpNBKBSyKh9IjvlA+Wz8vCA55gPlMyUfdu/eLS6rMcegynMcBy0tLWp1/Vr01/B/f/f/BgCsbqzi6698HU+99amK16PRJ+3Y7d271/flp/y2T6tMkHKm1qNJkg+UZWM+aGHsgmH8iEorawZ04sQJfP3rX8fHPvYxfO973yvrjf/4j/8Yjz32GLq7u+/72tHRUQwPDyMajSKdTiOdTqO3t3fb1/b09JR8brPm5ma0trYW/Adkb5JVy/8cx1GrZ2Fhoer19T3Sh92NuwEHgAP850v/uSp1avVHsy7HcbC0tOS7Hkn7TC5j+nHS+k+aD/zPznzI9YmxM/s/7XNerfvL/8z5z5R8kKr2HIOqw3VdzM3NwXVdlfqeOPIEDu456D3+s1f+DKsbqyVK+KfVJ83Yua7r7ebyU8Zv+7TKBCnnl3aOa5DkA2XZmA9aGLtgGD+i0sref/ilL30Jk5OTeOqpp7CwsICenh709fUV7I6YmZlBMplEIpFAb28vvv71r+PYsWMl33dychKxWMxb0Dh//jwGBga27LpIpVLo6enxdmoUe4622rNnT9Xr2Nu0FycePoE/vfSnAIBXl17FD278AO/sfGfF69Loj3Zdu3btEpWTtM/kMlKadWmQ5gNl2ZYPmhg7OcaOSKZacwyqLs1zXkOoAb/a9av4tz/4twCA5bvL+IvX/gIfP/bxitaj1SfN2EnGlKbPFWw8Tlo4x5CzMR+0MHbBMH5Exfm6qGI8Hkc8HkcymcTzzz+PF154AalUyns+Go2it7cX58+fR1tb233fL5VKob+/v+Bn4XAYAwMDAICJiQkMDw/j+PHjuHDhAiYmJrzXlXqO7sltM9XwK9FfwZ9d+jNkkL1h5Nde/lrFFzU0+6NVl+M42LNnj++twJL2mVxGSrMuDdJ8oCzb8kETYyfH2BEFU+k5BlVXLc55Hzr6IUz+dBJLd5cAAH8y8yfofbgXTQ2Vuda45rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1Sa6E5RsVgMsVgscOXRaLTkNqpoNIqRkREA2clOuc/RPbntah0dHVUfwBzYcwC/9OAv4W/e/BsAwA/mfoCfzP8Ej0cer1gdmv3Rqst1XSwsLKCzs9N3Ob/tM7mMlGZdGqT5QFm25YMmxk6OsSOqjErNMai6anHOa25oxn/V9V/hj/7hjwAAC3cW8I3Xv4GPPvLRiry/5rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1Qa7zK5A+zbt0+tricffbLg8dde/lrF69Dsj1Zd0tV3SftMLiOlWZcGfhsjGNvyQRNjJ8fYEdFOUotzXt9b+rC/ab/3+Gsvfw1rmbWKvb9WnzRjJxlTmj5XsPE4aeEcQ87GfNDC2AXD+BEVx0UNy2lvMz26/yieOPyE9zg5m8SlxUsVe3/N/mjV5TgOmpubRZefkmwpN7WMlG1bqaX5QFm25YMmxk6OsSOinaRW57w9jXvwiegnvMdzd+bw16//dUXeW3PcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqjYsalnNdF7OzsyUv81Vp/+Sxf1Lw+D++/B8r9t6a/dGqy3VdzM/P+65H0j6Ty0jVIserSZoPlGVbPmhi7OQYOyLaSWp5zvvYIx/DvqZ731r92stfw3pmPfD7ao77NcfIfseUps8VbDxOWjjHkLMxH7QwdsEwfkSlcVFjB9C+oeKxtmN4z8H3eI9fuPIC3lh+o2Lvr9kfrbpaWlpE5STtM7mMlG03DZXmA2XZlg+aGDs5xo6IdpJanfP2Nu3Fx4993Hs8e3sWf/vm31bkvbX6pBk7yZjS9LmCjcdJC+cYcjbmgxbGLhjGj6g4LmpYrlbbTP/Jo/d2a7hwK3ZvDc3+aNXlOA527dol2n4t2VJuahkp27ZSS/OBsmzLB02MnRxjR0Q7Sa3PeR9/5OPY07jHe/wfX/qP2MhsBHpPzXG/5hjZ75jS9LmCjcdJC+cYcjbmgxbGLhjGj6i0wIsar7zyCl588UUAwNLSUtC3owrLZDK4du0aMpmMar2PRx7HOzre4T3+5pvfxNWVq4HfV7M/WnVlMhnMzc35rkfSPpPLSNUqx6tFmg+UZVs+aGLs5Bg7osrjHMNctT7ntexqwccfubdb4+qtq/ibN/8m0Htqjvs1x8h+x5SmzxVsPE5aOMeQszEftDB2wTB+RKWJFzUuXbqEnp4eDAwMoL+/HwAwNTWFz3zmMxVrHAXnOA7a29trsrL7ycc+6f07g0xF7q2h2R+tuhzHQWtrq+ibSn7bZ3IZqVrmeDVI84GybMsHTYydHGNHVDmcY5jPhHPer0R/BbsbdnuP//inf4y1zJr4/TTH/ZpjZL9jStPnCjYeJy2cY8jZmA9aGLtgGD+i0sSLGidPnsTo6Ci+/vWvezeteeqpp5BIJCrWOAqulttM39HxDry1/a3e479+/a9x5eaVQO+p2R+tuhzHQVNTk2hQL9lSbmoZKdu2UkvzgbJsywdNjJ0cY0dUOZxjmM+Ec97+XfvxiegnvMezt2fxF6/9hfj9NMf9mmNkv2NK0+cKNh4nLZxjyNmYD1oYu2AYP6LSxIsaMzMz+MhHPgIABb9gc3NzwVtFFZPJZHD16tWabFdzHAcn33ryXluQweRLk4HeU7M/WnVlMhncuHFDtP3ab/tMLiNVyxyvBmk+UJZt+aCJsZNj7Igqh3MM85lyzvvV6K+ipenejY//w0v/Aasbq6L30hz3a46R/Y4pTZ8r2HictHCOIWdjPmhh7IJh/IhKEy9q9PT04A/+4A8Kfnb27Fn09vYGbhRVjuM46OjoqNnK7s8f+Hm8LfI27/E33/wmXl9+Xfx+mv3RqstxHITDYdE3lfy2z+QyUrXO8UqT5gNl2ZYPmhg7OcaOqHI4xzCfKee8vU178eSjT3qP06tp/Pkrfy56L81xv+YY2e+Y0vS5go3HSQvnGHI25oMWxi4Yxo+oNPGixsTEBP79v//36OjowMzMDI4fP47R0VE8++yzlWwfBVTrbaaO4+Dpx5/2HrtwMflT+W4Nzf5o1eU4DhobG0WDesmWclPLSNU6xytNmg+UZVs+aGLs5Bg7osrhHMN8Jp3zPvbIxxBuDnuP/+TlP8GttVu+30dz3K85RvY7pjR9rmDjcdLCOYacjfmghbELhvEjKk28qNHW1oaLFy/i/PnzGBsbw+/8zu/gpZdeQmtrayXbRwFlMhlcvny5ptvV3tbxNrzzwDu9x9++8m28sviK6L00+6NVVyaTwfXr10Xbr/22z+QyUibkeCVJ84GybMsHTYydHGNHVDmcY5jPpHNec0MzPvnYJ73HN9du4j+n/rPv99Ec92uOkf2OKU2fK9h4nLRwjiFnYz5oYeyCYfyIShMvaiwtLWFpaQknTpzAqVOn8NRTT+GVV17B0tJSJdtHAYVCIRw6dAihkPhQV0T+bg0AOP/T86L30eyPVl2hUAiRSMR3PZL2mVxGypQcrxRpPlCWbfmgibGTY+yIKodzDPOZds77yMMfwcE9B73Hf5r6UyyuLvp6D81xv+YY2e+Y0vS5go3HSQvnGHI25oMWxi4Yxo+oNPFvxqlTp5BIJAp+NjU1heHh4cCNosoyYavaY+2PIXYw5j2evjaNlxdeFr2XZn+06pLWIylnchkpE3K8kmzrjzbGT46xk2PsiCqDc4z6YNI5rynUhPhb497jOxt38B9e+g++38f0cb9WXSaXCVLO1Ho02dgnLYydHGMXDONHVJx4USORSOCTn/xkwc/6+/tx/rzsG/hUHZlMBlevXjViu9rJx08WPP7qj78K13V9vYdmf7TqymQymJubE22/9ts+k8tImZTjlSDNB8qyLR80MXZyjB1R5XCOYT4Tz3n/6KF/hIdaHvIeT706hSs3r5RdXnPcrzlG9jumNH2uYONx0sI5hpyN+aCFsQuG8SMqTbyo4boulpeXC34WDod9/5GaqisUCuHw4cNGbFc71nYMTxx5wnv8w7kf4nvXv+frPTT7o1VXKBRCR0eHaPu13/aZXEbKpByvBGk+UJZt+aCJsZNj7Igqh3MM85l4zgs5IfzTt/1T7/GGu4F//+N/X355xXG/5hjZ75jS9LmCjcdJC+cYcjbmgxbGLhjGj6g08W9Gb2/vlm3gp0+fRm9vb+BGUWWZNAn8bx//b9HgNHiP/+gf/ggZ19+qs2Z/tOqS1iMpZ3IZKZNyvBJs6482xk+OsZNj7Igqg3OM+mDiOe89B9+Dd3S8w3v8navfwU/mf1J2edPH/Vp1mVwmSDlT69FkY5+0MHZyjF0wjB9RceJFjbNnz+I73/kOOjo6cPz4cXR0dCCRSODZZ5+tZPsooEwmg2vXrhmzXe1IyxGcePiE9/i15dfwN2/8TdnlNfujVVcmk8H8/Lxo+7Xf9plcRsq0HA9Kmg+UZVs+aGLs5Bg7osrhHMN8pp7zHMfBr7/t1wt+9u9+9O/K+oOQ5rhfc4zsd0xp+lzBxuOkhXMMORvzQQtjFwzjR1Sa4wZc9kskErh06RKi0ShOnDhx/wI1trS0hLa2NiwuLqK1tbUmbchkMpidncXBgwd35DayxdVF/I9/8T/izsYdAEDH7g78Xx/+v7CrYVeNW1YbOz0fqBDzgfIxHygf84HymZIP1Rpbc47hnyk5UWtf+O4X8Ddv3vvS1P8c+5/xiw/8Yg1bVBvMB8rHfKB8zAfKx3ygfCbkQ7njanHrHnvsMbz66qvo7e3FqVOn6mKysRO5rou1tTWjtqy1NbfhV7t+1Xs8d2cO/+WV/1JWWc3+aNXlui7W19d91yNpn8llpEzM8SCk+UBZtuWDJsZOjrEjqhzOMcxn+jnv6cefRlOoyXv81R9/FWsbayXLaI77NcfIfseUps8VbDxOWjjHkLMxH/7/7N1/XFvXfT/+19UPfgmQEAj/tmPsxPkdGQNa3KbND6efxt7mT2qb9tOui2dC8m1wsy3ZkiVtt2Zrl9qduy3FTZOSz+x2axv/qONuH6VNcNw2jWuDTZTY+W3wL2xsECAJCRBI937/kJFFQEL3SByujt7PxyOPGEmHc85bb67O0bnnXl4odqmh+BGSGPOixuc+9zn88Ic/TGdbyDRQFAW9vb2aOwj+ccUfw5xjjv6876N98I/4pyzHsz+86lIUBR6Ph2lQr7Z9Wi7DSqs5zoo1H0iEaPnAE8WOHcWOkPShOYb2af2YZyuw4Z7F90R/7h7sxsunX05Yhue4n+cYWe2YUutzBRHfJ15ojsFOxHzghWKXGoofIYkZWAt+5jOfwYYNG/Dmm29i/fr1sFqt0ec+97nPpaVxJHU6nQ6zZ8+e6WZMkG/Ix/pr1uOFEy8AAAZDg9j70V7cd8N9Ccvx7A+vunQ6HcrKylRv62Jpn5bLsNJqjrNizQcSIVo+8ESxY0exIyR9aI6hfZlwzLt36b04eO4gBkYGAAB7P9yL2+bdhpK8kklfz3Pcz3OMrHZMqfW5gojvEy80x2AnYj7wQrFLDcWPkMSYFzW2bNmCiooKuN3ucWdTSZJEEw4NGduuZjQaIUnSTDdnnDsX3gnnKSe6Al0AgF+f/jVWLVqFeYXz4pbh2R9edaW6/VpN+7RchpWWc5wFbTFNjWj5wBPFjh3FjpD0oTmG9mXCMa/AWIAvLPsCfnT8RwCA4fAwfvb+z/CQ/aFJX8973M9zjMxyWSitzhVEfJ94oTkGOxHzgReKXWoofoQkxrxM/8orr+Do0aM4evQoXnvttei/W1tb09k+kiJFUdDf36/JwYtBZ8CXr/9y9OewEsaP3/lxwjI8+8OrLkVR4PP5mBY11LZPy2VYaTnHWbDmA4kQLR94otixo9gRkj40x9C+TDnm3bnwTlxVfFX05992/hYf9X806Wt5jvt5jpHVjim1PlcQ8X3iheYY7ETMB14odqmh+BGSWEp7D5uamlBaWoqSkhKUlpZi27Zt6WoXSROdTodZs2ZpdptpZXklbi67Ofqzq8eFN7vfjPt6nv3hVZdOp0NpaSnT5afUtk/LZVhpPcfVYs0HEiFaPvBEsWNHsSMkvWiOoW2ZcszTSTr8xY1/Me6xHe/sgKzIE1/LcdzPc4ysdkyp9bmCiO8TLzTHYCdiPvBCsUsNxY+QxJj/Mn70ox/hhz/8IZqbm9HX14cXX3wRzz77LE06NEZRFASDQc2u7EqShD+/4c+hi0nFH7/zY4Tk0KSv59kfXnUpioKRkRGmM5XUtk/LZVhpPcfVYs0HEiFaPvBEsWNHsSMkfWiOoX2ZdMy71notPjH3E9GfT3pO4nedv5vwOp7jfp5jZLVjSq3PFUR8n3ihOQY7EfOBF4pdaih+hCTGvKixdetWvPbaa1i+fDnMZjNWrVqFV155Zdy1b4k2eL3emW5CQguKFuAzV30m+vOFwAX8+vSv476eZ3941eX3+5nKsbRPy2VYaT3H1WLNBxIhWj7wRLFjR7EjJD3SMcdoa2vDihUrJn28ra0NANDR0RH999jPW7duxZ49e7B161Z4PJ6U+yKyTDrmfem6LyFXnxv9+afv/RSDo4MTXserTzxjxzKm1PpcQcT3iReaY7ATMR94odilhuJHSHzMixq9vb0oLi4e91hFRQV6e3tTbhRJH0mSUF5ervmbCm24ZgMKjYXRn/d+tBe+Ed+E1/HsD6+6JEmC1WpVXQ9L+7RchlWm5HiyWPOBRIiWDzxR7NhR7AhJn1TnGHv27AGAcQsWY5577jmsWLECkiThwQcfREVFRfS5DRs24LHHHsP69euxfv161NfXp9ALsWXaMa80vxT3Lr03+rN3xItdH+wa9xqe436eY2S1Y0qtzxVEfJ94oTkGOxHzgReKXWoofoQkxryosWrVqgnbwJ944gmsWrUq5UaR9FEUBUNDQ5rfrlaYU4gNyzZEfw6MBvCz93424XU8+8OrrlS2X6ttn5bLsMqUHE8WbTFNjWj5wBPFjh3FjpD0SXWOsX79elRWVk763IoVK9Df34/+/n68+uqrsFgsACK7NGJVVFSgublZfeOzRCYe8/644o9RXlAe/fnXp3+NDs+V953nuJ/nGJnlslBaniuI+D7xQnMMdiLmAy8Uu9RQ/AhJLKV7ajz77LO4+uqr8fnPfx5Lly7Fnj170NTUlM72kTQIBAIz3YSk3L3wbswvnB/9+bVzr+GDvg8mvI5nf3jVNTg4cQt8Mljap+UyrDIlx5PFmg8kQrR84Ilix45iR0h6TPccw2KxRBczxjQ3N8NqtY57zGq1Trrbg0Rk2jHPqDei7sa66M8yZDQdbxp303BefeIZO5YxpdbnCiK+T7zQHIOdiPnAC8UuNRQ/QuIzsBY0m804efIk9u7di46ODtTW1mLdunXpbBtJA0mSUFZWNtPNSIpep0fdTXV46g9PRR974cQLePqTT0Ov0wPg2x9edUmShJKSEqbt12rbp+UyrDIpx5PBmg8kQrR84Ilix45iR0j6TOccw+PxRC9P1draGr0EVbz7Z/T19cX9XcFgEMFgMPqzzxe5bKosy5BlOV6xaSXLMhRF4VK/1WqFoigZdfbozWU3wzHbgSNdRwAA7Z52vHL6FXxmUeTefrz6xKseRVFgsVhU5wRL+3iVSaWcWpmY44mw5gOJEC0f6PMic/CIH898INqnhXxItu6kFzX0ej3C4fC4x37xi1/QQobGjW1Xy8/Pz4gvSa8vvR63zbsNr59/HQBwxncGr5x5BfcsvgcA3/7wqivV7ddq2qflMqwyLcenQltMUyNaPvBEsWNHsSOEHc85xgMPPBDdpVFRUYG7774b7e3tcV+f6GbhTz/9NJ566qkJj/f09GB4eDjVpjKRZRlerxeKokCnY96QPyVFUTA8PIy8vLyMO+bdY7sHRy8cxXA48h7tfHsnfG/58NE7H8Hj8cBiscBut6OysnJa+sYzduFwGD09PZBlGXq9ftrax6tMKuXUyuQcj4clH0iEiPlAnxeZgVf8eOUDyQxayIeBgYGkXpf0osZkX7DV19fjc5/7XPKtIjNi7IuWTPFn1/0Zjl06hsFQZHvsix+8iD+a80coySsBwLc/vOoaGRlhKsfSPi2XYZVpOT4V1nwgEaLlA08UO3YUO0LY8JxjdHR0RO+3UVFRgY6ODnR0dMBisUzYldHX1zfhMlWxnnjiCTzyyCPRn30+HxYsWACbzTbhRue8yLIMSZJgs9mm/Uuqvr6+jLzpcDnK8aXQl7Dj+A6cPnAaJ//fSfz81M8nvM5ut+MrX/kKNm7cCIOB+eIGE/CMXTgcxsDAAMrLy1UtaqhtH68yqZRTK5NzPB6WfCARIuYDfV5kBl7x45UPJDNoIR/y8vKSel3SI7TJ/oDoTGLtkyQJpaWlM90MVSx5Fnz+2s/jP078BwBgKDSEn7z7Ezxc+TDX/vCqS5IkmM1mpstPqW2flsuwysQcT4Q1H0iEaPnAE8WOHcWOEHa85hhtbW2466670N/fP+5xq9WKVatW4bnnnptQpqqqKu7vy83NRW5u7oTHdTrdjH4hIEkSlzbYbLZp/f3T6bby2/DwlofRcThyo/BcScJKkwklej36w2EcCgTgcrnw4IMPYv/+/di1axdMJlPa6ucZO4vFAr1eryofWNrHq0wq5bRaD08s+UAiRMwH+rzIDLzixysfSGaY6XxItt6UTjuhL920T1EUBAIBmEymjHq/PrPoMzh49iBO+04DAH5//vewXrKi/2Q/ent7UVpaiurqajgcjmnrF6/YKYqCwcFBpstPqW2flsuwytQcj4c1H0iEaPnAE8WOHcWOkPRK19/R2OWEgMjOjC1btkSfa25uxvr16ye9cXhHRweqqqoS7tTIZpl8zAuFQvg/X/g/6DjcgTxJQkNZGdaZLbDEnLnuCYex1+tBo9sNp9OJ2tpa7N+/Py07NniPkdWOKbU+V+A5P8vUHI+H5hjsRMwHXih2qaH4EZJY+vbSEs0aHR2d6SaoppN0uP+m+/G1330Np5pP4aTzJHZ37J7wOrvdjoaGhrRvDR/DK3ahUIipHEv7tFyGVSbmeCKs+UAiRMsHnih27Ch2hGhDc3MzXn31VQCR+15UV1dHFy+qqqqwdetWWCwWtLe3Y/fuK2PL3bt34/HHH0d1dTVaW1vHPUcmytRj3o4dO+B0OpEnSWiavwCVBQUTXmPR61FnLYU9Lx/3d56D0+nEzp07UVdXl5Y28Iwdy5hS63MFXvHL1BxPhOYY7ETMB14odqmh+BESn6QkuVSv0+mwYsWKcY8dO3ZswmMA0Nramp7WTQOfzwez2Qyv1zuj17vt7u5GeXk5be1KIBAI4NZ7bsXx148DmHxrePBy+q5evTrtW8N5oXwgsSgfSCzKBxKL8oHE0ko+pDq2pjlG+mglJ7RKURRUVlbC5XLhUZsNddapLxv4Ql8vtvX0wG63o62tLaPOlKV8ILEoH0gsygcSi/KBxNJCPiQ7rk761PbHHnsMHo9n3GOTTTaItiiKAr/fj8LCwowahIdCIdTW1uL468dnZGs4wC92Y1sKWS4/pbZ9Wi7DKlNzPB7WfCARouUDTxQ7dhQ7QtjRHCPzZOox78iRI3C5XMiVJKwzW5Iqs85sQaPbDZfLhZaWFjgcjpTawHuMrHZMqfW5As/5WSbmeCI0x2AnYj7wQrFLDcWPkMSS/vb3O9/5znS2g0yjcDg8001QTQtbwwF+sZNlmakcS/u0XIZVJuZ4Iqz5QCJEyweeKHbsKHaEsKE5RmbKxGPe0aNHAQArTaZxJ0olYtHrsdJkwkG/H62trSkvagB8Y8cyptT6XIFX/DIxx6dCcwx2IuYDLxS71FD8CImP9hUJTpIkWCyWjFrVVRQF27dvBwA0lJVNuqARa0VBATaXlQEAGhsb03b2Ca/YSZKEoqIi1fWwtE/LZVhlYo4nwpoPJEK0fOCJYseOYkcIySaZeswbGBgAAJQkuaAxxqLTjyufCt5jZLVjSq3PFXjOzzIxxxOhOQY7EfOBF4pdaih+hCRGixqCUxQFPp8vo7aZsm4Nz5Wk6NbwdOAVu7EthSyXn1LbPi2XYZWJOZ4Iaz6QCNHygSeKHTuKHSEkm2TqMa+oqAgA0K/yrFePHB5XPhW8x8hqx5RanyvwnJ9lYo4nQnMMdiLmAy8Uu9RQ/AhJjBY1iOaksjUc0PZNJAkhhBBCCCH8VVVVAQAOBQLwJLmw4QmHcSgQAABUV1dPW9sIIYQQQog6tKghOEmSUFxcnFHb1bSwNRzgFztJkphu/MTSPi2XYZWJOZ4Iaz6QCNHygSeKHTuKHSEkm2TqMc/hcMButyOoKNjr9SRVZq/Xg6CiYPny5aipqUm5DbzHyGrHlFqfK/Ccn2VijidCcwx2IuYDLxS71FD8CEmMFjUEpygKPB5PRm1X08LWcIBf7BRFwcDAANP2a7Xt03IZVpmY44mw5gOJEC0feKLYsaPYEUKySaYe8yRJQkNDAwCg0e1G2+BgwtcfGxxEo9sNAGhoaEjLl0q8x8hqx5RanyvwnJ9lYo4nQnMMdiLmAy8Uu9RQ/AhJjBY1soBe5Y6HmaalreG8YqfTsf0psrRPy2VYZVqOT4U1H0iEaPnAE8WOHcWOEJJNMvWYt3HjRqxevRpBRUFd5zm80Nc7Yb7hCYfxQm8v7u88h6Ci4MbbbsR9992XtjbwjB3LmFLrcwVe8cvUHE+E5hjsRMwHXih2qaH4ERIffaoJTpIkFBUVZdR2NS1sDQf4xU6SJJhMJqbt12rbp+UyrDIxxxNhzQcSIVo+8ESxY0exI4Rkk0w+5hkMBuzatSu6sLGtpwd3tJ9Ew/lOfK2rCw3nO3F7+0lsc/cgqCiYUzUH1zx8DY71HEtL/bzHyGrHlFqfK/Ccn2VqjsdDcwx2IuYDLxS71FD8CEmMFjUEpygK+vv7M2q7mha2hgP8YqcoCnw+H9P2a7Xt03IZVpmY44mw5gOJEC0feKLYsaPYEUKySaYf80wmE/bv34+mpqboiVQH/X7s83lx0O/HiKLgupuuQ/VXq/GJr38ChjwDfvT2j+AZ9qRcN+8xstoxpdbnCjznZ5mc45OhOQY7EfOBF4pdaih+hCRGixpZwGg0znQTVGPZGl7xRxX44p99Ma3t4BU7g8HAVI6lfVouwyoTczwR1nwgEaLlA08UO3YUO0JINsn0Y57BYEBdXR3a2tpw+PBhPPPMM/iHf/gHPPPMMzh8+DDeeesd/NVX/go6fWS6PDA6gGffejYtXyzxjB3LmFLrcwVe8cv0HJ8MzTHYiZgPvFDsUkPxIyQ++lQTnCRJKCwsnOlmqDa2Nby2thZOpxPbenrQ6HZjpckEi04PjxzGG4EARi5PLOZUzYH9UTt+0fELfOm6L6WlDbxiJ0kSCgoKmLZfq22flsuwytQcj4c1H0iEaPnAE8WOHcWOEJJNRDrmSZIEh8MBh8Mx4bkNyzbA1ePCGd8ZAICrx4VXzryC/3XV/0qpPp5jZLVjSq3PFXjOz0TJ8TE0x2AnYj7wQrFLDcWPkMRop4bgFEVBb29vRm5XS2Zr+E233ITb/vq26NbwX7b/Esd7jqelfl6xUxQFXq+Xafu12vZpuQyrTM7xybDmA4kQLR94otixo9gRQrKJiMe8yfpk1Bnx1eVfhVF35SzZn7z7k+giR7rqmS4sY0qtzxV4zs9EzHGaY7ARMR94odilhuJHSGK0qJEF8vPzZ7oJzCbbGv7Nb34zujX8rTffwrbHtkW3hgNAo6sR3qA3LfXzil1OTg5TOZb2abkMq0zO8cmw5gOJEC0feKLYsaPYEUKyiYjHvMn6tKBoAb547ZXL247Ko/i3Y/+GodBQWuuZLixjSq3PFXjFT8QcpzkGOxHzgReKXWoofoTER5efEtzYNtNMl2hrePXsanxm0WfwyplXAACeoAc/fOuHeKz6sZS21/KKnSRJyM/PZ7r8lNr2abkMK1FyfAxrPpAI0fKBJ4odO4odISSbiHjMS9SnexbfgxO9J3Ds0jEAwIXABbxw/AU02Bu4jN9ZsYwptT5X4Dk/EzHHaY7BRsR84IVilxqKHyGJ0U4NwSmKArfbLcx2tXj9+fL1X8aCogXRn9u62/Cr07+alrrSTVEU9Pf3M22/Vts+LZdhJWKOs+QDiRAtH3ii2LGj2BFCsomIx7xEfZIkCQ/d8hBK80qjj71+/nX8tvO3aa0n3VjGlFqfK/Ccn4mY4zTHYCNiPvBCsUsNxY+QxGhRIwuYTKaZbkJaTdafHH0O/nL5X4675u1/vvefOO09nfa6pgPr6jtL+7RchpVoOU5nY6RGtHzgiWLHjmJHCMkmIh7zEvWpMKcQf1n5l9DFTJ//74n/i3MD59JaT7qxjCm1PlfgFT8Rc5zmGOxEzAdeKHapofgREt+ML2q0tbVhxYoVkz7e1tYGAOjo6Ij+e+znrVu3Ys+ePdi6dSs8Hg+v5mYc0baZJurPguIF+PPr/zz6c0gO4Zk3n8FwaDjtdaWTJEnIzc1l2r7OsqVcq2VYiZjjLPlAIkTLB54oduwodoSQbCLiMS+ZPi2zLsPnr/189OdgOIh/b/t3BMPBtNaTLixjSq3PFXjOz0TMcZpjsBExH3ih2KWG4kdIYjO6qLFnzx4AGLdgMea5557DihUrIEkSHnzwQVRUVESf27BhAx577DGsX78e69evR319Pbc2ZxpFUdDd3S3MdrWp+nP3ortRPas6+vN5/3nseGfHtNSVLoqioK+vj2n7tdr2abkMKxFznCUfSIRo+cATxY4dxY4Qkk1EPOYl26c/XfKnuMV2S/TncwPnsOPEjrTXkw4sY0qtzxV4zs9EzHGaY7ARMR94odilhuJHSGIzuqixfv16VFZWTvrcihUr0N/fj/7+frz66quwWCwAIrs0YlVUVKC5uXm6m5rRzGbzTDchrRL1R5IkPHjLg7DmWaOPHTx3EL8595u015VOhYWFTOVY2qflMqxEy3HWfCARouUDTxQ7dhQ7Qkg2EfGYl0yfdJIODfYGlOSWRB977dxreO3sa2mtJ11YxpRanyvwip+IOU5zDHYi5gMvFLvUUPwIiW/GLz+ViMViiS5mjGlubobVah33mNVqnXS3BxFvm2ky/SnKKcJXl3913DVvm443qb6/Bq/YSZKEnJwcpu3XLFvKtVqGlYg5zpIPJEK0fOCJYseOYkcIySYiHvPU9Mmca8ZXK8fPNV448QLaPe1prSdVLGNKrc8VeM7PRMxxmmOwETEfeKHYpYbiR0hihpluQDwejyd6earW1tboJaji3T+jr69v0seDwSCCwSvXOfX5fAAAWZYhy3J6G50kWZahKAqX+mVZRk9PD2w2G3Q6Ta9hJSXZ/lxbci02XLMBL37wIgBgNDyK7x39Hr79yW/DZEzuRku8YhcKheB2u2G1WmEwJP8nydI+LZdhJVqOs+YDiRAtH+jzIjPwih3PfCDap5V8mOn6CX8ifl6o7dMNpTfg/1z3f/Bf7/0XgMi9/P7l6L/gO7d9B+bc+GfV8h4j9/b2oqysTHPjftY48Py8FTHH1eYDiRAxH3ih2KWG4kdIYpr9xuyBBx6I7tKoqKjA3Xffjfb2+Ge/xFvsePrpp/HUU09NeLynpwfDw2w3kE6VLMvwer1QFGXaD0yKoiAUCqGnp0eI1V01/fmjoj/C20Vv4+3+twEAnb5OfO/w9/DANQ8kFQtesQuHw1AUBT09PdDr9UmXY2mflsuwEi3HWfOBRIiWD/R5kRl4xY5nPhDt00o+DAwMzFjdZGZIkoSSkhKhPitY+vQnFX+Ck56TONJ1BADQN9yHf2/7d3zN8TXodZOP4XjGTpIkFBcXq95BobZ9vMqkUk4tUXNcbT6QCBHzgReKXWoofoQkptlFjY6Ojuj9NioqKtDR0YGOjg5YLJYJuzL6+vomXKZqzBNPPIFHHnkk+rPP58OCBQtgs9lQXFw8be1PRJZlSJJEq60cPFLyCJ5840n0DPYAAN71vYsWfwv+ZMmfzHDLrpBlGTqdjvKBAKB8IOPR5wWJRflAYmklH/Ly8masbjIzxi5jIxKWPkmShK/c8hWcHziPTn8nAOCd3nfw0/d/ii9f/+W01cNKkiQYjUbViw0sceBRJpVyWq2HJ5Z8IBEi5gMvFLvUUPwISUyTixptbW2466670N/fP+5xq9WKVatW4bnnnptQpqqqatLflZubi9zc3AmP63S6GZ0ASpLEpQ2yLKO7uxvl5eVCfAGitj/FecV4tOpRfOONb2BUHgUA/PyDn+Nq69W4vvT6tNbFamwrMMv2a7Xt03IZViLmOEs+kAjR8gGgz4tMwDN2vPKBZAYt5APlYvYR8fOCtU/5hnw8WvUonvz9kxgKDQEA/qfjf7DEvAQr561MWz0sZFmG2+1WffkpLc8VeM7PRMxxtflAIkTMB14odqmh+BGSmGb+KmIvH1VRUYEtW7ZEf25ubsb69ethsVhQUVExrlxHRweqqqri7tTIdpIkobS0VJgzMlj6s9i8GJtu3BT9WYaMfzv2b+gd6k17XSwkSYLFYmHafq22fVouw0rEHGfJBxIhWj7wRLFjR7EjhGQTEY95qfRpbuFcbLZvHvfYD9/+IU57T6e1HrVYxpRanyvwnJ+JmOM0x2AjYj7wQrFLDcWPkMRmdFGjubkZjz/+OIDIvS/GbgxusVhQVVWFrVu34vnnn0drayt2794dLbd79248/vjj2LNnD5577rlxz5HxRNtmytqfOxfeidsX3B792Tvixb8c/ReMhEfSXpdakiTBYDAwDepZtpRrtQwrEXOcJR9IhGj5wBPFjh3FjhCSTUQ85qXap6rZVVh39broz8FwEFtbt8Iz7ElrPWqwjCm1PlfgOT8TMcdpjsFGxHzghWKXGoofIYnN6KLGqlWrsGXLFiiKgi1btmD9+vXR5yorK/HYY4/hgQceGLdrA7iyk2P9+vXYsmUL7dJIQJZlXLhwAbIsz3RT0iKV/tTdWIeriq+K/tzh7cAP3/ohFEVJe11qyLKMnp4e1fWwtE/LZViJmOMs+UAiRMsHnih27Ch2hJBsIuIxLx19Wn/NeiwvXx79uXe4F989+t1xJ1HxHiOrHVNqfa7Ac34mYo7THIONiPnAC8UuNRQ/QhLTzOWnyPTQ6XSYNWuWMNffS6U/Ofoc/G3138KcY44+9saFN/DL9l+mvS41dDodrFar6npY2qflMqxEzHGWfCARouUDTxQ7dhQ7Qkg2EfGYl44+6SQdHl7+MOYXzo8+dtJzEj9864eQZRmHDx/GD37wA/zHf/wHfvCDH+Dw4cNxT65KB5YxpdbnCjznZyLmOM0x2IiYD7xQ7FJD8SMkMU3eKJykl2hb1VLpT1l+GR6tehT/+Id/REgJAQB+9v7PML9oPlbMWpHWutRgrYelnJbLsKIcJ7EofuwoduwodoSQbCLiMS8dfSowFuDxmsfx5O+fxMDIAOSwjJ/8x0/wrwf+FaffOz3h9Xa7HQ0NDdi4cSMMhvRPzbU87uc5/9FyPTyJ2CdeKHbsKHapofgREh8t9wlOlmVcvHhRmO1q6ejPMusy1N1UF/1ZgYJn2p7BuYFzaa8rGbIso7e3l2n7tdr2abkMKxFznCUfSIRo+cATxY4dxY4Qkk1EPOals0/lBeX4m6q/AUaAN771Bo42HsXp904jV5JwR2EhPmc2447CQuRKElwuF+rr67F27VoEAoE09OQKljGl1ucKPOdnIuY4zTHYiJgPvFDsUkPxIyQxWtQQnE6nw+zZs4XZrpau/ty58E7cc9U90Z+Hw8P4but3MTAykPa6pqLT6VBaWsq0/Vpt+7RchpWIOc6SDyRCtHzgiWLHjmJHCMkmIh7z0t2npcVLcXb7WXQd7UKeJOFRmw0HlyzF9nnz8a3Zc7B93nwcXLIUj9psyJUkOJ1O1NbWIhQKpaV+gG1MqfW5As/5mYg5TnMMNiLmAy8Uu9RQ/AhJjC4/lQWm81qtMyFd/fny9V9Gp78Tx93HAQCXBi9h29FteLLmSbQdbcPRo0fh9XphNptRVVUFh8MxbVv/WPvEUk7LZVhRjpNYFD92FDt2FDtCSDYR8ZiXzj7t2LEDh187jDxJQtP8BagsKJjwGotejzprKex5+bi/8xycTid27tyJurq6SX4jGy2P+3nOf7RcD08i9okXih07il1qKH6ExEfLfYKTZRmXLl0SZrtaOvuj1+nxV5V/hVkFsyK/Oyzj//3s/6Hixgrceuut+OpXv4qvf/3r+OpXv4pbb70VlZWVaGpqSusZVECkT319fUzbr9XGQstlWImY4yz5QCJEyweeKHbsKHaEkGwi4jEvnX1SFAXbt28HADSUlU26oBFrRUEBNpeVAQAaGxvT9gUWy5hS63MFXrknao7THIONiPnAC8UuNRQ/QhKjRQ3B6XQ6zJ07V5jtaunuT2FOIR6veRy54dzoNW/Pf3Ce6zVvdTodbDYb0/ZrtbHQchlWIuY4Sz6QCNHygSeKHTuKHSEkm4h4zEtnn44cOQKXy4VcScI6syWpMuvMluh8o6WlJeU2AGxjSq3PFXjlnqg5TnMMNiLmAy8Uu9RQ/AhJjP4yBKcoCkZHR4XZsjYd/ZmVNwtnGs/M2DVvFUVBKBRS3SeWWGi5DCsRc5wlH0iEaPnAE8WOHcWOEJJNRDzmpbNPR48eBQCsNJlg0euTKmPR67HSZAIAtLa2ptwGgG1MqfW5Aq/cEzXHaY7BRsR84IVilxqKHyGJ0aKG4BRFQW9vrzAHwenoz44dO/C75t9Fr3lbZy2dMAEZu+Zt0/wF0YWNnTt3pqV+RVHg8XiYBvVqY6HlMqxEzHGWfCARouUDTxQ7dhQ7Qkg2EfGYl84+DQwMAABKklzQGGPR6ceVTxXLmFLrcwVeuSdqjtMcg42I+cALxS41FD9CEqNFDcHpdDrMnj1bmO1q6e6PFq55q9PpUFZWxrT9Wm0stFyGlYg5zpIPJEK0fOCJYseOYkcIySYiHvPS2aeioiIAQH84rKqcRw6PK58qljGl1ucKvHJP1BynOQYbEfOBF4pdaih+hCRGfxmCUxQFIyMjwqzsprs/WrjmbSrbr9XGQstlWImY47TFlJ1o+cATxY4dxY4Qkk1EPOals09VVVUAgEOBADxJLmx4wmEcunzPvurq6pTbALBfFkrLcwVeuSdqjtMcg42I+cALxS41FD9CEqNFDcEpioL+/n5hDoLp7o8WrnmrKAp8Ph/ToF5tLLRchpWIOc6SDyRCtHzgiWLHjmJHCMkmIh7z0tknh8MBu92OoKJgr9eTVJm9Xg+CioLly5ejpqYm5TYAbGNKrc8VeOWeqDlOcww2IuYDLxS71FD8CEmMFjUEp9PpMGvWLGG2q6W7P1q45q1Op0NpaSnT9mu1sdByGVYi5jhLPpAI0fKBJ4odO4odISSbiHjMS2efJElCQ0MDAKDR7Ubb4GDC1x8bHESj2w0AWP1nqyFJUsptANjGlFqfK/DKPVFznOYYbETMB14odqmh+BGSGP1lCE5RFASDQWFWdtPdHy1c8zaV7ddqY6HlMqxEzHHaYspOtHzgiWLHjmJHCMkmIh7z0t2njRs3YvXq1QgqCuo6z+GFvt4Jl6LyhMN4obcX93eeQ1BRMKdqDtqvbsfxnuNpaQPrZaG0PFfglXui5jjNMdiImA+8UOxSQ/EjJDFa1MgCXq93ppuQVunsj1aueev3+5nKscRCy2VYiZbjrPlAIkTLB54oduwodoSQbCLiMS+dfTIYDNi1a1d0YWNbTw/uaD+JhvOd+FpXFxrOd+L29pPY5u6JLmjc+vitkCUZ/3L0X/Bh/4dpaQfLmFLrcwVeuSdijtMcg52I+cALxS41FD9C4qNFDcFJkoTy8vK0bWOeaenujxaueStJEqxWq+o+scRCy2VYiZjjLPlAIkTLB54oduwodoSQbCLiMW86+mQymbB//340NTVF5xsH/X7s83lx0O/HiKLAbrfj+R89j7/d/rcw5BkAAMPhYXyn5Tvo8HakVD/LmFLrcwVeuSdqjtMcg42I+cALxS41FD9CEjPMdAPI9FIUBcPDw8jLyxPiQJju/oxd87a+vh6NbjeW5+WjsqAg7utjr3l709qbUq4fSG37tdpYaLkMKxFznLaYshMtH3ii2LGj2BFCsomIx7zp6pPBYEBdXR02bdqElpYWtLS0oL+/HyUlJaipqUFNTQ0kSUJIDmH02CiOXToGAAiMBvDtw9/G1//o61hsXszcJ5bLQml5rsAr90TNcZpjsBExH3ih2KWG4kdIYrRTIwsELl8qSRTp7g/rNW8H7YP48bs/TsvAcHCKGwjGwxILLZdhJVqOs+YDiRAtH3ii2LGj2BFCsomIx7zp7JMkSXA4HNi8eTMeeughbN68GQ6HI/ollUFnwF9X/jVuLL0xWsY/6se3Dn8Lp72nmetlGVNqfa7AK/dEzHGaY7ATMR94odilhuJHSHySkmVL9T6fD2azGV6vF8XFxTPSBlmW0d3djfLycuh0tK6kBYFAALW1tXA6nQCAXEnCSpMJFp0eHjmMNwIBjFz+U5lbNRd/9PgfRbeI/+mSP8UXr/0i88o55QOJRflAYlE+kFiUDySWVvJBC2NrLdBCHLSSE4TdcChy6an3+t6LPlZkLMI3bv0GFhUvUvW7KB9ILMoHEovygcSifCCxtJAPyY6rKVsFpygKBgcHhdlmOl39Sfaat01NTfjpnp/CmGeMlv1l+y+x+8PdzHUrioKhoSGmy0+pjYWWy7ASMcdZ8oFEiJYPPFHs2FHsCCHZRMRjHq8+TVVPniEPf1fzd7jOel30sYHRAfzT4X/COd851XWpHVNqfa6glfcpE9Ecg52I+cALxS41FD9CEqNFjSwwNDQ0001Iq+nqz9g1b9va2nD48GE888wz+PrXv45nnnkGhw8fRltbG+rq6vDpRZ/G/3fL/zeu7N6P9mLfR/uY6x4ZGWEqxxILLZdhJVqOs+YDiRAtH3ii2LGj2BFCsomIxzxefZqqnjxDHh6veRzLSpZFHxsYGcA/Hv5HnPWdVVUXy5hS63MFrbxPmYjmGOxEzAdeKHapofgREh/dKFxwkiShtLR0ppuRNjz6M3bNW4fDEfc1ty+4HSE5hB8d/1H0sZ9/8HMAwL1X36u6PrPZrPryVSyx0HIZViLmOEs+kAjR8oEnih07ih0hJJuIeMzj1adk68k35OMJxxP45yP/jA/7PwQA+EZ8eOoPT+Frjq+hwlKRVF1qx5Ranyto7X3KJDTHYCdiPvBCsUsNxY+QxGinhuAURYHf7xdmuxrP/kxV16pFq/AXN/zFuMd+/sHPsfvD3dy2X6uNhZbLsBIxx2mLKTvR8oEnih07ih0hJJuIeMzj1Sc19eQb8vFEzRO42nJ19DH/qB//ePgf8UHfB0nVxXJZKC3PFbT4PmUKmmOwEzEfeKHYpYbiR0hitKiRBUZHR2e6CWnFsz9T1fXZxZ/Fl6//8rjH9ny4By9+8KKqD55QKDQt7cu0MqxEy3HWfCARouUDTxQ7dhQ7Qkg2EfGYx6tPauopMBbgSceTuNZ6bfSxodAQ/vnIP+OE+8SU5VnGlFqfK2jxfcoUNMdgJ2I+8EKxSw3Fj5D4aFFDcJIkoaSkRJhtpjz7k2xdf1zxx9h4w8Zxj+07uQ//9d5/JbWwIUkSiouLmS4/pTYWWi7DSsQcZ8kHEiFaPvBEsWNHsSOEZBMRj3m8+sRST4GxAE/UPIGbym6KPjYcHsZ3Wr4DV7crYV1qx5Ranyto+X3SOppjsBMxH3ih2KWG4kdIYrSoIThFUTAwMCDMdjWe/VFT1z2L70HdjXXjHvvvjv/Gznd2TlleURQEAgGm7ddqY6HlMqxEzHGWfCARouUDTxQ7dhQ7Qkg2EfGYx6tPrPXkGfLwePXjqCyvjD42Ko/iu63fxZGuI3HrUjum1PpcQevvk5bRHIOdiPnAC8UuNRQ/QhKjRY0sEA6HZ7oJacWzP2rq+sxVn8GDNz8ICVdW0V8+/TKef/t5yIqcsKwsJ34+He3LhDKsRMtx1nwgEaLlA08UO3YUO0JINhHxmMerT6z1GPVGPFL1CP5ozh9FHwspIfzrsX/Fq2dejT6mKAoOHz6M7du34wc/+AG2b9+Ow4cPJ/2lmNbnClp/n7SM5hjsRMwHXih2qaH4ERKfYaYbQKaXJEmwWCwz3Yy04dkflrruXHgnDDoDnnU9CxmRQeNr517DYGgQm+2bYdQbJ62nqKiIafu12vZpuQwrEXOcJR9IhGj5wBPFjh3FjhCSTUQ85vHqU6r1GHVGPLz8YRh1Rrx+/nUAgAIFTceb0BvoxcAbA/jBD34Al8s1oazdbkdDQwM2btwIg2HyrwG0PlfIlPdJi2iOwU7EfOCFYpcaih8hidFODcEpigKfzyfMdjWe/WGt61PzP4XNyzdDF/PndbjrMLa0bsFQaGjSevx+P9P2a7Xt03IZViLmOEs+kAjR8oEnih07ih0hJJuIeMzj1ad01KPX6fGQ/SHcc9U90cdCwyE8ct8jeOCBB+ByuZArSbijsBCfM5txR2EhciUJLpcL9fX1WLt2LQKBQNrax3OukEnvk9bQHIOdiPnAC8UuNRQ/QhKjnRqETINPzPsEcvW5+Le2f8OoPAoAOO4+jm8f/jb+rubvUJhTCEVRcOTIEbS0tODs2bNYuHAhampq4HA46AwaQgghhBBCyKR0kg733XAfzLlm/PTdn+IPW/6ArqNdyJMkNJSVYZ3ZAoteH329JxzGXq8HjW43nE4namtrsX///rg7NgghhBBCtI5GMYKTJAnFxcUz3Yy04dmfVOuqml2FJx1PYmvr1ugOjY88H+HvX/97LPpwEXY8v4N5azhr+7RchpWIOV5YWEgLW4xEyweeKHbsKHaEkGwi4jGPV5/SWY8kSbj36nvx+1/8HnuO7kGeJKFp/gJUFhRMeK1Fr0edtRT2vHzc33kOTqcTO3fuRF1dXcrt4zlXyMT3SStojsFOxHzghWKXGoofIYnR5acEpygKPB6PMNvVePYnHXVdX3o9/v7Wv0dxTuSDKDQcws//7uf4q4f+KqWt4azt03IZViLm+MDAgDD94U20fOCJYseOYkcIySYiHvN49Snd9SiKgtd+/hoAoKGsbNIFjVgrCgqwuawMANDY2DihHVqfK2Tq+6QFNMdgJ2I+8EKxSw3Fj5DEaFEjC+hjth6LgGd/0lFXhbkC/7jyH1FiLBm3NfxRmw0HlyzF9nnz8a3Zc7B93nwcXLIUj9psyJWk6NbwUCiU1vZpuQwr0XJcp6NDcypEyweeKHbsKHaEkGwi4jGPV5/SWc+RI0eiJ0qtM1uSKrPObImeSNXS0pKW9vGcK2Ti+6QVNMdgJ2I+8EKxSw3Fj5D46FNNcJIkoaioSJhtpjz7k8665hTOwbL2ZdEFjab5C1BnLR13rVvgytbwpvkLogsbO3fuTFv7tFyGlYg5bjKZhOkPb6LlA08UO3YUO0JINhHxmMerT+mu5+jRowCAlSbThHlFPBa9HitNJgBAa2tryu3jOVfI1PdJC2iOwU7EfOCFYpcaih8hidGihuAURUF/f78w29V49ieddSmKgh//6McA0rM1nLV9Wi7DSsQc9/l8wvSHN9HygSeKHTuKHSEkm4h4zOPVp3TXMzAwAAAoUXkmr0WnH1c+lfbxnCtk6vukBTTHYCdiPvBCsUsNxY+QxGhRIwsYjcaZbkJa8exPuuqajq3hrO3TchlWouV4ohvEk6mJlg88UezYUewI0Y62tjasWLFiwuMdHR3YunUr9uzZg61bt8Lj8ST1HJlIxGMerz6ls56ioiIAQH84rKqcRw6PKx9L63OFTHyftILmGOxEzAdeKHapofgREh99qglOkiQUFhbOdDPShmd/0llXKlvDD/r9aG1thcPhSLl9Wi7DSsQcLygooC2mjETLB54oduwodoRox549e1BRUYG2trYJz23YsAHHjh0DEFnEqK+vx+7du6d8jown4jGPV5/SXU9VVRUA4FAgAE84nNQ8wxMO41AgAACorq5OuX085wqZ+j5pAc0x2ImYD7xQ7FJD8SMkMdqpIThFUdDb2yvMdjWe/UlnXeneGs7aPi2XYSVijnu9XmH6w5to+cATxY4dxY4Q7Vi/fj0qKysnPN7R0THu54qKCjQ3N0/5HJlIxGMerz6lux6HwwG73Y6gomCv15NUmb1eD4KKghtvuRE1NTXRdh0+fBjf//738Y1vfAPf//73cfjw4aTayXOukKnvkxbQHIOdiPnAC8UuNRQ/QhKjnRpZID8/f6abkFY8+5OuuqZjazjA1j4tl2ElWo7n5OTMdBMymmj5wBPFjh3FjhBta25uhtVqHfeY1WpFW1sbjh49Gve5yRZIiJjHPF59Smc9kiShoaEB9fX1aHS7sTwvP+G9+44NDqLR7QYAmO8w41jXMbicLmzfvh0ul2vC6+12OxoaGrBx48aEly7iOVfIxPdJK2iOwU7EfOCFYpcaih8h8dGihuDGtpmKgmd/0llXureGs7ZPy2VYiZjj+fn5tDWckWj5wBPFjh3FjhDti3ePjL6+voTPxRMMBhEMBqM/+3w+AIAsy5BlmbmdqZBlGYqicKk/Ly8PiqIIdfYorz6lu54///M/xy9+8Qu8/PLLqOs8h81lZVhntoybb3jCYez1eNDY60ZQUTCnag5sDhv+dO2foutoFwAgV5Kw0mRCiV6P/svzEJfLhfr6evziF7/Aiy++CJPJlLY+scYhU9+nmaYoSrRPM3WMymSi5QN9XmQOHvHjmQ9E+7SQD8nWTYsaghvbrlZaWirEl6Q8+5POusa2hrtcLuz1elBnLZ2yzNjW8EXXLUJVddW4dh05cgStra24dOkSZs2aherqajgcjinbydInXmVYiZjj/f39sNlsM92UjCRaPvBEsWNHsSMkcyW6IXii555++mk89dRTEx7v6enB8PBwGlqmnizL0cvL6HTTd5VhRVHg8XhgsViEOebx6tN01dPY2IgHHngABw4cwLaeHjS63ZF7+en08MhhvBEIYOTyF2IVjgpct/k6/OG7f8CltkvIkyQ0xFsI8XrQ6Hbj5Zdfxr333osdO3ZM2LHB0ifWOGT6+zSTwuEwOjs7Icsy9CoviZztRMwH+rzIDLzixysfSGbQQj5Mdgn+ydCiRhaId0ZNpuLZn3TVlcrWcNsqG7579Lt46KaHsOu/dqW8PZylT7zKsBItx+mM79SIlg88UezYUewI0TaLxTJh50VfXx8sFkvC5+J54okn8Mgjj0R/9vl8WLBgAWw2G4qLi9Pa9mTJsgxJkmCz2ab9S6ri4mLk5eUJ8yUVrz5NZz1OpxM7d+7ED37wA7hcLhz0+8c9b7fb8dBDD+GLX/4iHvrOQ9EFjab5Cyadl1j0etRZS2HPy8f9nedw4MCByG6QurqU+8QaBxHep5kSDocxOjqK8vJyWtRQScR8oM+LzMArfrzygWQGLeRDXl5eUq+TlCzbA+bz+WA2m+H1emd0wtHd3Y3y8nI6YGSRUCiEtWvXwul0IleSkt4a/omvfwLyqIy2f2nD6SOnAUy+PTx4+U959erV2LVrF33BlqHo+EBiUT6QWJQPJJZW8kELY+vJSJI07lINHR0d2LBhA44dOxZ9rKSkBKdOnUJfX1/c5xItbMTSQhy0khNkZimKgpaWFrS0tKCrqwtz5sxBTU0Nampqon8XlZWVcLlceNRmS2oH+Qt9vdjW0wO73Y62tjb6cjID0fGBxKJ8ILEoH0gsLeRDsuNqylbBKYqC7u5uYa5fyLM/6a7LYDBg165dWL16NYKKgm09Pbij/SQaznfia11daDjfidvbT2KbuwdBRcEnVn0Ctz95OwDgD1v+gNNHTiNPkvCozYaDS5Zi+7z5+NbsOdg+bz4OLlmKR2025EoSnE4namtrEQqF0tInXmVYiZjjfX19wvSHN9HygSeKHTuKHSHaFHv5qIqKinHPdXR0oKqqChaLJeFzZCIRj3m8+sSjHkmS4HA48NBDD+HP/uzP8NBDD427TO2RI0fgcrmQK0lYZ7Yk9TvXmS3IlSS4XC60tLSMe47nXEGk94k3mmOwEzEfeKHYpYbiR0hitKiRBcxm80w3Ia149ifddZlMJuzfvx9NTU2w2+0IKgoO+v3Y5/PioN+PEUWB3W5HU1MTfvPyb/D0XU+j93e96DraFd0eXmctnXCj8bHt4U3zF0QXNnbu3Jm2PvEqw0q0HC8sLJzpJmQ00fKBJ4odO4odIdrQ3NyMxx9/HEDkvhd79uyJPrd79248/vjj2LNnD5577jns3r07qefIRCIe83j1iWfsJhtTHj16FAAi99xI8jJEFr0eKy/vAm9tbZ3wPM+5gojvEy80x2AnYj7wQrFLDcWPkPjonhqCkyQJubm5M92MtOHZn+mqy2AwoK6uDps2bUq4NRwAFhYthPtA5N4aDWVlCe/DAQArCgqwuawscoPAxkZs2rRp3PZwlj7xKsNKxBzPycmhbf2MRMsHnih27Ch2hGjHqlWrsGrVKmzZsmXCcxUVFdHH169fn/RzZDwRj3m8+sR7jDzZmHLs5pslKu+rYNHpx5WPrYfXXEHE94kXmmOwEzEfeKHYpYbiR0hitFNDcLIs49KlS5BleaabkhY8+zPddY1tDf/KV76CL33pS/jKV74ybms4ENkefvyt42nbHs7SJ15lWImY4729vcL0hzfR8oEnih07ih0hJJuIeMzj1SfeY+TJxpRFRUUAgP5wWNXv88jhceUVRcHhw4fx/e9/H1/72tfw/e9/H4cPH07qMimscRDxfeKF5hjsRMwHXih2qaH4EZIY7dQQnCRJKCkpEeaMDJ794VWXJEkoLi6etJ5Utocf9PvR2toKh8Mxri61feJVhpWIOR4vH8jURMsHnih27Ch2hJBsIuIxj+e4n+cYebIxZVVVFQDgUCAATzic1BzDEw7jUCAAAFi+fDmampqwfft2uFyuCa+12+1oaGjAxo0bYTBM/nUDaxxEfJ94oTkGOxHzgReKXWoofoQkRjs1BCfaNlOe/eFVlyRJMBqNk9YzHdvD1faJVxlWIuZ4vHwgUxMtH3ii2LGj2BFCsomIxzye436eY+TJxpQOhyN6b7+9Xk9Sv2uv14OgosBaYcXf/cPfob6+Pnqz8TsKC/E5sxl3FBZGd4vX19dj7dq1CFxeCJmsbSxxEPF94oXmGOxEzAdeKHapofgRkhgtaghOlmVcvHhRmO1qPPvDqy5ZluF2uyetZzq2hz/55JOqt4erjYOI7xMvifKBTE20fOCJYseOYkcIySYiHvN4jvt5jpEnG1NKkoSGhgYAQKPbjbbBwYS/59jgIBrdkXv8hcNh/P7A75EnSXjUZsPBJUuxfd58fGv2HGyfNx8HlyzFozYbciUJTqcTtbW1CIVCk7aNJQ4ivk+80ByDnYj5wAvFLjUUP0ISo8tPCU6SJJSWlgqzssuzP7zqkiQJFotl0nq0sj1cbRxEfJ94SZQPZGqi5QNPFDt2FDtCSDYR8ZjHc9zPc4wcb0y5ceNG7Nu3D06nE3Wd57C5rAzrzJZxcw1POIy9Hg8ae90IKgrMi8zwnvEiT5LQNH8BKgsKJvxei16POmsp7Hn5uL/zHJxOJ3bu3Im6uroJbWOJg4jvEy80x2AnYj7wQrFLDcWPkMRop4bgRNtmyrM/vOqSJAkGg2HSelLZHl6+tBzf/KdvpmV7uNo4iPg+8ZIoH8jURMsHnih27Ch2hJBsIuIxj+e4n+cYOd6Y0mAwYNeuXVi9ejWCioJtPT24o/0kGs534mtdXWg434nb209im7sHQUXBPffcg6LcyA7whrKySRc0Yq0oKMDmsjIAQGNj44Td4axxEPF94oXmGOxEzAdeKHapofgRkhgtaghOlmVcuHBBmO1qPPvDqy5ZltHT0zNpPalsDw+OBtH86+a0bA9XGwcR3ydeEuUDmZpo+cATxY4dxY4Qkk1EPObxHPfzHCMnGlOaTCbs378fTU1N0ZOoDvr92Ofz4qDfjxFFgd1uR1NTE5588kl0ftiJXEnCOrMlqfrXmS3Rk6haWlomtI0lDiK+T7zQHIOdiPnAC8UuNRQ/QhKjRQ3B6XQ6zJo1CzqdGG81z/7wqkun08FqtcatZ+PGjdGzqOo6z+GFvl54PnaPDU84jBd6e3F/57lJt4fXWUsnXLpqbHt40/wF0YWNnTt3Tto+tXEQ8X3iZap8IImJlg88UezYUewIIdlExGMez3E/zzHyVGNKg8GAuro6tLW1Re+/961vfSt6/722tjbU1dVFL2O70mRK6nK4QGSusdJkAgC0trZOaBtLHER8n3ihOQY7EfOBF4pdaih+hCQ24/fUaGtrQ319PY4dOzbu8Y6ODuzZswcVFRXo6OjAAw88AIvFMuVzZCLRtqrx7A+vuhLVM7Y9vLa2Fk6nE9t6etDodkcmFTo9PHIYbwQCGLm8rfuu/3UXjp88DkDd9vBtPT1obGzEpk2bJrSHJQ4ivk+8iNYf3ih+7Ch27Ch2hJBsIuIxTwvj/pmqS5IkOBwOOBwOyLI84Qu0gYEBAEBJkgsaYyw6/bjyLG1LVzmt1sOTiH3ihWLHjmKXGoofIfHN6HLfnj17AEQWNj5uw4YNeOyxx7B+/XqsX78e9fX1ST1HxpNlGRcvXhRmuxrP/vCqS5Zl9Pb2JqxHzfbwb379m+hu707r9nC1cRDxfeIlmXwg8YmWDzxR7NhR7Agh2UTEYx7PcT/PMbLaMWW89hUVRe6n0f+x3eJT8cjhceUVRYnuCPna174W3RHy8XtuqG1fuoma4zTHYCNiPvBCsUsNxY+QxGZ0p8b69esnfbyjo2PczxUVFWhubp7yOTKRTqfD7NmzhdmuxrM/vOrS6XQoLS2dsp6x7eGbNm1CS0sLWltb4fP5UFxcjOrqatTU1ECSJDQ2NgJg2x5+0O9Ha2srHA7HuPapjYOI7xMvyeYDmZxo+cATxY4dxY4Qkk1EPObxHPfzHCOrHVPGa19VVRUA4FAgAE84nNQcwxMO41AgAABYvnw5mpqasH379uilrGLZ7XY0NDRg48aNMBjif0Uh4vvEC80x2ImYD7xQ7FJD8SMksRm//NRkmpubYbVaxz1mtVrR1taGo0ePxn2usrKSZzMzRrJnvmQKnv3hVZeaemK3h4fDYeg/NqmYju3hLHEQ8X3iRbT+8EbxY0exY0exI4RkExGPeVoc989EXZOVcTgcsNvtcLlc2Ov1oM5aOuXv2ev1IKgoKK0oxWP/8BgOHTgEAMiVJKw0mVCi16P/8sKHy+VCfX099u3bh127dsF0+V4c6eoTC8pxEotix45ilxqKHyHxaXJRw+PxTPp4X19fwucmEwwGEQwGoz/7fD4AkW1cM7WFS5ZlKIrCbdvxpUuXhLm5EM/+8KorFAqht7cXNpst4ZlJybavsLAQAPv28MLCwmiOHjlyBK2trbh48SJmz56N6upqOByOKa/rKOL7xAtrPpAI0fKBPi8yA6/Y8cwHon1ayYeZrp/wN3bME+nsUV594hk7WZbR19en6rMpXvskSUJDQwPq6+vR6HZjeV5+wvv2HRscRKPbDQAIhUM4dOAQ8iQJDWVlWGe2jNvp4QmHsdfrQaPbDafTidraWuzfv3/ScbCI7xMvLPlAIkTMB14odqmh+BGSWEZ9YxZvQSPRc08//TSeeuqpCY/39PRgeHg4TS1TR5ZleL1eKIrC5cCk1+vhvjyoFAHP/vCoS5ZlGI1GuN1u1fkwWfsqKioAsG8Pv+qqq/Cv//qv2LFjB06cODHhtTfeeCM2btyIz3/+8wm/dBftfeIllXwgEaLlA31eZAZenxc884Fom1byYbIdnkRsOp0Oc+fOnelmpBWvPvGMnU6ng81mU335qXjt27hxI/bt2wen04m6znPYHG+BwuNBY68bQUWBeZEZ3jNe5EkSmuYvmHQhxKLXo85aCntePu7vPAen04mdO3eirq5OVfvSSdQcV5sPJELEfOCFYpcaih8hiWlyUcNisUzYedHX1weLxZLwuck88cQTeOSRR6I/+3w+LFiwADabDcXFxWlvezJkWYYkSVwGFYqiIBQKwWAwTHl2fSbg2R9edYXDYYTDYdhstgmXkmJp32c/+1nm7eG2JTZse2Ybftv8WwCTbw8/ceIE/uZv/gYHDhzAiy++OOn2cBHfJ15Y84FEiJYP9HmRGXjFjmc+EO3TSj7k5eXNWN1kZoj4ecGrTzMxRlZz6ZJE7TMYDNi1axdqa2vhdDqxracHjW535D5+Oj08chhvBAIYuVzfZ+/5LN5pfwdeeNFQVpZwZwcArCgowOayssjvbWzEpk2bJrRBxPeJF5Z8IBEi5gMvFLvUUPwISUyTixqrVq3Cc889N+HxqqoqVFRUxH1uMrm5ucjNzZ3wuE6nm9EJoCRJXNogyzL6+/tRXl4uxBcgPPvDq66xMy3nzJmjqp5E7WPdHj4SGsFvm3+b1Pbwl19+GV/4whcm3R4u4vvEC2s+kAjR8gGgz4tMwDN2vPKBZAYt5APlYvZRFAW9vb0oLy8X5ksWXn3iGTtFUeDxeDB79mxVZRK1z2QyYf/+/di5cycaGxvhcrlw0O8f9xq73Y7Nmzdj2bJluO2225ArSVhntiRV/zqzBY1uN1wuF1paWuBwOFS1L11EzXG1+UAiRMwHXih2qaH4EZKYZhY1PB5PdLfF2OVzxnR0dKCqqiq6UyPec2QinU4n1MCFZ3941aXT6VBWVqb6S4FE7Zvp7eEivk+8sOYDiRAtH3ii2LGj2BFCsomIxzye436eY2S1Y8pk2mcwGFBXV4dNmzahpaUFra2tGBgYQFFREaqrq1FTUwNJktDY2AgAkZ0cSe4+tuj1WGky4aDfj9bW1gmLGiK+T7zQHIOdiPnAC8UuNRQ/QhKb0UWN5uZmvPrqqwAi976orq7G+vXrAQC7d+/G448/jurqarS2tmL37t3RcomeI+MpioLR0VEYjUYhVnZ59odXXWP1qN0KnKh9areHf+azn8GJ9hNp2x4u4vvEC2s+kAjR8oEnih07ih0hJJuIeMzjPe7nOUZWe/mpZNsnSRIcDgdqamomLTN2v50SlZdTtej048qPtevIkSNobW2F1+uF2WxGdXU1HA7HtMRR5BynOYZ6IuYDLxS71FD8CElsRhc1Vq1ahVWrVmHLli0TnquoqIg+PrbQkcxzZDxFUdDf3w+bzSbEQZBnf3jVpSgKfD4f5syZo7pcovbN5PZwEd8nXljzgUSIlg88UezYUewIIdlExGMez3E/zzGy2jElS/vilSkqKgIA9IfDqtrtkcPR8qFQCDt27MD27dvhcrkmvNZut6OhoQEbN26ccDncVIia4zTHYCNiPvBCsUsNxY+QxDRz+SkyPXQ6HWbNmjXTzUgbnv3hVZdOp0NpaSnT5aemat9MbQ8X8X3ihTUfSIRo+cATxY4dxY4Qkk1EPObxHPfzHCOrHVOytC9embF7Xh4KBOAJh5OaY3jCYRwKBAAA5oVmrF27Fk6nEwCQK0lYaTKhRK9H/+XXuVwu1NfXY9++fdi1axdMJpOqtqvtUyajOQY7EfOBF4pdaih+hCRGixqCUxQFIyMjyMnJEWJll2d/eNU1Vg/L5aeSbV/s9vDJyqRre3js1vCx++RM59bwsTpFzHHaGs5GtHzgiWLHjmJHCMkmIh7zeI/7ec5l1F5+Sm374pVxOByw2+1wuVzY6/Wgzlo65e/a6/VE7vW32IzH/ukxXDx6EXmShIZ49wf0etDodsPpdKK2thb79+9Py44NkXOc5hjqiZgPvFDsUkPxIyQxWqbPAl6vd6abkFY8+8OrLv/HLguVLJb2TVYm1e3hBQUFaGpqQmVlJW699VY8/PDD+Pu//3s8/PDDuPXWW1FZWYmmpiaEQiHV7U2GaDnOmg8kQrR84Ilix45iRwjJJiIe83j1iWfsWMaU6ZpfSJKEhoYGAECj2422wcGEv+PY4CAa3W4AgGWxJbqg0TR/AeqspRN2elj0etRZS9E0fwFyJQlOpxM7d+5U3fZ4RMxxmmOwEzEfeKHYpYbiR0h8tKghOEmSUF5eLsyqLs/+8KpLkiRYrVbV9bC0L16Zj28PT0bs9vAdP92B+vp6uFwu5EoS7igsxOfMZtxRWIhcSYpuDV+7di0Cl8uki4g5zpIPJEK0fOCJYseOYkcIySYiHvN4jvt5zmXUjinTOb8AgI0bN2L16tUIKgrqOs/hhb7eCXMNTziMF3p7cX/nOQQVBdd/4np4T0W+xGsoK0NlQUHC+lcUFGBzWRkAoLGxMS07EUTNcZpjsBExH3ih2KWG4kdIYrSoIThFUTA0NCTMNlOe/eFVl6IoCAaDTJefUtu+eGXGtocHFQV7vZ6kftfY9nBDvgGuFhfyJAmP2mw4uGQpts+bj2/NnoPt8+bj4JKleNRmi55BVVtbm9YdGyLmOEs+kAjR8oEnih07ih0hJJuIeMzjOe7nOZdRO6ZM5/wCiNzfb9euXdGFjW09Pbij/SQaznfia11daDjfidvbT2KbuwdBRcGaNWvQ+E+N8JzyIFeSsM5sSaoN68yW6IlULS0tSbedpU+ZiuYY7ETMB14odqmh+BGSGC1qZIF0nxk/03j2h1ddg1Nsx46HpX2TlUlle3hoKDSjW8MB8XKcNR9IhGj5wBPFjh3FjhCSTUQ85vHqE8/YsYwp0zW/GGMymbB//340NTVFT6I66Pdjn8+Lg34/RhQFdrsdTU1NeOmll/DOO+8AAFaaTEndXByIzDdWXr5JeGtrq+r2T0bEHKc5BjsR84EXil1qKH6ExEc3ChecJEkou7wdVwQ8+8OrLkmSUFJSwnT5KbXtS1Rm48aN2LdvH5xOJ+o6z2FzvBvyeTxo7HUjqCjIM+VhODCsamv4tp4eNDY2YtOmTWnZRilijrPkA4kQLR94otixo9gRQrKJiMc8nuN+nnMZtWPKdM8vxhgMBtTV1WHTpk1oaWlBa2srBgYGUFRUhOrqatTU1ETbOTAwAAAoSXJBY4xFpx9XPhWi5jjNMdiImA+8UOxSQ/EjJDFa1BDc2Ha1/Px8IQYwPPvDqy7WLYUs7UtUZmx7eG1tLZxOZ2Txwe2OnCWl08Mjh/FGIICRy+1cuXIlDh06pHpreKPbHd0a7nA4VPVZbZ8yEW0xTY1o+cATxY4dxY4Qkk1EPObxHvfznMuwXEoqXfOLj5MkCQ6HAzU1NXHLFBUVAQD6k7zP3xiPHB5XPhUi5zjNMdQTMR94odilhuJHSGJ0+aksMDQ0NNNNSCue/eFV18jICFM5lvYlKqNme3htbS2Amd8aDoiX46z5QCJEyweeKHbsKHaEkGwi4jGPV594xo5lTJnu+YXaMlVVVQCAQ4HAhJuKx+MJh3Ho8iVachblQFZk1e1Jtn2ZjOYY7ETMB14odqmh+BESH+3UEJwkSSgtLZ3pZqQNz/7wqkuSJJjNZqbLT6ltXzJlkt0e/vTTTwOY2a3hgJg5zpIPJEK0fOCJYseOYkcIySYiHvN4jvt5zmXUjimna36hpozD4YDdbofL5cJerwd11ql/916vB0FFgaXCgmY0o/31dnzpui/hZtvNqtqVTPsyFc0x2ImYD7xQ7FJD8SMkMdqpIThFUeD3+4XZZsqzP7zqUhQFg4ODTJefUts+NWXGtoc3NDTgq1/9KhoaGuBwOKID4VS3hufk56gqF4+IOc6SDyRCtHzgiWLHjmJHCMkmIh7zeI77ec5l1I4pp3t+kUwZSZLQ0NAAAGh0u9E2xc2tjw0OotHtBgAsXbMUkiThtO80vn3k2/inP/wTPuj7IOl2JdO+TEVzDHYi5gMvFLvUUPwISYx2amSB0dHRmW5CWvHsD6+6QqEQUzmW9qWrzMe3hidzCarYreGv4TUs/mgx7ll8D/IN+arbNFX7MhlrPpAI0fKBJ4odO4odISSbiHjM49UnnrFjGVPO5PxizMaNG7Fv3z44nU7UdZ7D5rIyrDNbxs03POEw9no8aOx1I6goWP7p5bjm7msQwpU+n+g9gROHTsBus2PDNRuwtGRpwjYpioIjR46gtbUVPT09sNlsqK6uHndiVyajOQY7EY95vFDsUkPxIyQ+WtQQnCRJKCkpmelmpA3P/vCqS5IkFBcXM11+Sm370lkm1a3hpiUmvPjBi3CecuLepffiM4s+A6PeqKptidqXqVjzgUSIlg88UezYUewIIdlExGMez3E/z7mM2jHlTM8vxhgMBuzatQu1tbVwOp3Y1tODRrc7ci8/nR4eOYw3AgGMXD57ec2aNXjxxRcxrBvG3o/24uDZg5Bx5b4arh4XXD0urJi1Ahuu2YDF5sXj6guFQtixYwe2b98Ol8s1oT12ux0NDQ3YuHEjDIbM/AqF5hjsRDzm8UKxSw3Fj5DE6PJTglMUBQMDA8JsV+PZH151KYqCQCDAdPkpte1LZ5l0bA0HgIGRAfz43R/j4YMP48CZAwjJ6s4gEjHHWfKBRIiWDzxR7NhR7Agh2UTEYx7PcT/PuYzaMeVMzy9imUwm7N+/H01NTbDb7QgqCg76/djn8+Kg348RRYHdbkdTUxNeeuklmEwmlOaX4oGbH8C/3P4vWDl35YTfeezSMfzd63+H7x39Hs76zgIAAoEA1q5di/r6erhcLuRKEu4oLMTnzGbcUViIXEmCy+VCfX091q5di8DlXeeZhuYY7EQ85vFCsUsNxY+QxDLzNAOiSljlPQ+0jmd/eNUly/LUL5oES/vSWYZla/jq1avxl3/1l9jXsQ99w33R1/UN9+H5489jf/t+3Lv0Xtw2/zYYdPEPUSJvD2fNBxIh2jGPJ4odO4odISSbiHjM49UnnrFjGVPO9PwilsFgQF1dHTZt2oSWlha0tLREx/01NTWoqamZdNw/r3Ae/rLyL3Hv0nux58M9OHLxyLjnj1w8giMXj6DaVg3n3ztx8JWDyJMkNMSby3g9aHS74XQ6UVtbi/3792fkjg2aY7AT8ZjHC8UuNRQ/QuKTlCxb8vP5fDCbzfB6vSguLp6RNsiyjO7ubpSXl0Ono80y2S7T8yEQCES3hgNAriRNuTXcZDJhNDyKV8+8in0n98E34pvwe8vzy/G/r/7f+NT8T8Gou3JZKtG3h2d6PpD0onwgsSgfSCyt5IMWxtZaoIU4aCUniDZQPlxxynsKuz/cjWOXjo17vOPXHTjaeBR5koSm+QtQWVAQ93ccGxzE/Z3nEFQUNDU1oa6ubrqbnVaUDyQW5QOJRflAYmkhH5IdV1O2Ck5RFPh8PmG2q/HsD6+6FEWB3+9nuvyU2vZNRxmWreEAYNQbsbpiNZ658xl8YdkXUGAYP4noHurG828/j78++NdoPtOMUXk0K7aHs+YDiRDtmMcTxY4dxY4Qkk1EPObxHPfznMuoHVNqZX6R7nKLzYvxWPVj+PYnvg27zR79XSedJwEADWVlCRc0AGBFQQE2l5UBABobGzMu/2mOwU7EYx4vFLvUUPwISSzzTmMmhGjOZFvD3W43ysrKEm4NB4B8Qz7uvfpe3L3objhPOeE85cRQaCj6fM9QD350/EfY8/4etG1pQ+vB1qzYHk4IIYQQQghJn6UlS/GE4wl80PcB/m3fv8HT4UGuJGGd2ZJU+XVmCxrdbrhcLrS0tMDhcExvgwkhhBASF33TJzhJkoS6FADP/vCqS5IkFBYWqr4PBEv7pruMJElwOBxMA/zCnELULqvF6sWr8fLpl/HyqZcRGL2y0+LY/xzD0YOJt4db9HrUWUthz8vH/Z3n4HQ6sXPnzozaHs6aDyRCtGMeTxQ7dhQ7Qkg2EfGYx3Pcz3Muo3ZMqcX5RTrKfdwy6zLcMHQDAEQumxtzklQiFr0eK00mHPT70dramlGLGjTHYCfiMY8Xil1qKH6EJEaXnxKcoijweDzCbFfj2R9edSmKgoGBAabt12rbp+UyY84fTbQAAQAASURBVApzCrHhmg1ovLMRn1/2eRQaC7NqezhrPpAI0Y55PFHs2FHsCCHZRMRjHs9xP8+5jNoxpdbnCumM38DAAACgJMkFjTEWnX5c+UxBcwx2Ih7zeKHYpYbiR0hitKiRBfQqB2pax7M/vOpivfkOS/u0XCZWgbEAn7v6c/j+nd9H5XAl0/bwsXtstLS0pNQW3ujmXKkR7ZjHE8WOHcWOEJJNRDzm8eoTz9ixjCm1PldIV/yKiooAAP3hsKpyHjk8rnwmoTkGOxGPebxQ7FJD8SMkPvpUE5wkSSgqKhJmmynP/vCqS5IkmEwmpstPqW2flsvEU2AsQOGlQgBs28MBoLW1NeV28MKaDyRCtGMeTxQ7dhQ7Qkg2EfGYx3Pcz3Muo3ZMqfW5QjrjV1VVBQA4FAjAk+TChiccxqFA5PK4Z8xncNZ3NuV28EJzDHYiHvN4odilhuJHSGK0qCE4RVHQ398vzHY1nv3hVZeiKPD5fEzbr9W2T8tlEsmm7eGs+UAiRDvm8USxY0exI4RkExGPeTzH/TznMmrHlFqfK6Qzfg6HA3a7HUFFwV6vJ6kye70eBBUFlgoLzljO4G9/97f45yP/jLd73tb83wPNMdiJeMzjhWKXGoofIYnRokYWMBqNM92EtOLZH151GQwGpnIs7dNymXhS3R6eV5CXtrbwwJoPJEK0Yx5PFDt2FDtCSDYR8ZjHq088Y8cyptT6XCFd8ZMkCQ0NDQCARrcbbYODCV9/bHAQjW43AGDpmqXRM6ff6nkL3z7ybfzNb/8Gr5x+BUOhobS0bzrQHIOdiMc8Xih2qaH4ERIfLWoITpIkFBYWCrNdjWd/eNUlSRIKCgqYtl+rbZ+WyySS6vbw1/Aa/uu9/0LvUG9a2jOdWPOBRIh2zOOJYseOYkcIySYiHvN4jvt5zmXUjim1PldId/w2btyI1atXI6goqOs8hxf6eifMNTzhMF7o7cX9necQVBTctuo2/HHtH0/4XZ3+Trxw4gU81PwQdr6zExcDF9PSxnShOQY7EY95vFDsUkPxIyQxWtQQnKIo6O3tFWa7Gs/+8KpLURR4vV6m7ddq26flMomkuj08vyIfv2z/JTYf2Ix/b/t3fNT/UVraNR1Y84FEiHbM44lix45iRwjJJiIe83iO+3nOZdSOKbU+V0h3/AwGA3bt2hVd2NjW04M72k+i4XwnvtbVhYbznbi9/SS2uXsQVBSsWbMGL7/0Mv7hk/+A79z2HXxy3ieh+9hXKoOhQThPOfFXB/8K32n5DlzdLsiKnJb2poLmGOxEPObxQrFLDcWPkMRoUSML5Ofnz3QT0opnf3jVlZOTw1SOpX1aLhNPuraHy5Bx6MIhfP2Nr+Prv/86Xu98HaPh0bS1M11Y84FEiHbM44lix45iRwjJJiIe83j1iWfsWMaUWp8rpDt+JpMJ+/fvR1NTU/QkqoN+P/b5vDjo92NEUWC329HU1ISXXnoJJpMJALDYvBhfXf5VNN7ViHuX3ovinOJxv1eBgje738TTLU/jkd88gpdPvYzB0cRzmOlGcwx2Ih7zeKHYpYbiR0h8kpJlS34+nw9msxlerxfFxcVTF5gGsiyju7sb5eXl0OloXSnbUT4kJxQKYe3atXA6nciVJGwuK8M6swWWmJuHe8Jh7PV40NjrRlBRcM/qe/DX3/9r/Prcr3Fu4Nykv7copwh3LLgDdy+6G+UF5by6ExflA4lF+UBiUT6QWFrJBy2MrbVAC3HQSk4QbaB8UE9RFLS0tKC1tRUDAwMoKipCdXU1ampqprz8y2h4FH/o+gN+depXaPe2T/qaXH0uVs5diVULV2GJZQnXS8pQPpBYlA8kFuUDiaWFfEh2XE13ihLc2Ha10tJSIa7Dx7M/vOpSFAX9/f2w2Wyqy6ltn5bLTGVse3htbS2cTie29fSg0e3GSpMJFp0eHjmMNwIBjFxep12zZg1efPFFmEwmrFq8CifcJ+A85URbd9u43zswMoBftv8S/93+31hevhx3L7ob9nI7dNLMHLxZ84FEiHbM44lix45iRwjJJiIe83iO+3nOZdSOKbU+V5ju+EmSBIfDgZqaGtX1GPVGfGr+p3DbvNvwkecj/OrUr3C46zDCypV7dATDQRw8dxAHzx3EouJFuHvR3fjkvE8i3zD9Z2LTHIOdiMc8Xih2qaH4EZIYLWpkgbEtsqLg2R9edRUUFDCVY2mflssk8zv379+PnTt3orGxES6XCwf9/nGvsdvt2Lx5M+677z4YDJFDnCRJuMl2E26y3YQufxdePv0yfnvutxgOD0fLKVDQ1t2Gtu42lOeXY9WiVbh9we0w55rT3o+psOYDiRDtmMcTxY4dxY4Qkk1EPObx6hPP2LGMKbU+V9D6+yRJEq4puQbXlFyDLw9/Gc1nm9F8phmeoGfc6874zqDpeBP+893/xCfmfQKrFq5ChaUiDS2Pj+YY7EQ85vFCsUsNxY+Q+OjyUzNAC1t5iHZQPrBJZXs4AAyFhvDG+TfwyulXcGbgzKSvMegMqJldgzsX3Ikbym7gsnuD8oHEonwgsSgfSCyt5IMWxtZaoIU4aCUniDZQPmjHqDyKoxeP4sDZAzjuPh73dRXmCty18C6snLsSBcb0LkBQPpBYlA8kFuUDiaWFfKDLTxEAkS9+e3p6YLPZhNiuxrM/vOpSFAV9fX1Ml59S2z4tl1Erdns4S135hnysWrQKdy28Cx/2f4hXzryCw12HEZJD0deE5BAOXTiEQxcOoTy/HLcvuB23L7gdpfml09ElAOz5QCJEO+bxRLFjR7EjhGQTEY95PMf9POcyaseUWp8rZOr7ZNQZcevcW3Hr3FtxMXARB84ewG/O/Qa+Ed+413V4O9BxvAM73tmBmtk1uGPBHWk7sYrmGOxEPObxQrFLDcWPkMRoUSMLmM38L58znXj2h1ddhYWFTOVY2qflMqxSqUuSJCyzLsMy6zL8+fV/jt+c+w2azzSje6h73Ou6h7qx68Nd2PPhHtxsuxl3LrwTlbMqYdQZU2z9RKz5QCJEO+bxRLFjR7EjhGQTEY95vPrEM3YsY0qtzxUy/X2abZqNL133JdReU4vWi61oPtuMd3rfGfeaUXkUb1x4A29ceANl+WX49PxP49PzP41Zplmq61MUBUeOHEFLSwvOnz+PefPmoaamBg6Hg74kVUHEYx4vFLvUUPwIiY8WNQQnSRJyc3Nnuhlpw7M/vOqSJAk5OTmqB5Us7dNyGVbprMuca8bapWvxJ0v+BK5uFw6cPYC2S22QIUdfI0OGq8cFV48LxTnF+NT8T+GOBXdgftH8tLSBNR9IhGjHPJ4oduwodoSQbCLiMY/nuJ/nGFntmFLrcwWR3iej3oiV81Zi5byV6PJ3oflsM37b+VsMjAyMe517yI29H+3F3o/24jrrdbhjwR1wzHEgz5CX8PeHQiHs2LED27dvh8vlmvC83W5HQ0MDNm7cGL0PIZmciMc8Xih2qaH4EZIYXSxNcLIs49KlS5BleeoXZwCe/eFVlyzL6O3tVV0PS/u0XIbVdNSlk3SonFWJv63+Wzy76ll88dovYo5pzoTX+UZ8+J+O/8Gjv30U33jjG3j1zKvwj/gn+Y3JY80HEiHaMY8nih07ih0hJJuIeMzjOe7nOUZWO6bU+lxBxPcJAOYUzsGXr/8ynl31LB5d8ShWzFoB3SRf1bzX9x5+8NYP8OCrD+LZt57FO73vQFYmtjEQCGDt2rWor6+Hy+VCriThjsJCfM5sxh2FhciVJLhcLtTX12Pt2rUIBAI8upmxRDzm8UKxSw3Fj5DE6EbhM4DnTVcURcHo6CiMRqMQZ37z7A+vusLhMC5cuIC5c+dCr9dPa/u0XIYVr7oURcH7fe/jtXOv4fCFwxiRRyZ9nUFnwIryFbht/m2wl9uTvjwVbQ1PD9GOefR5kRl4xU4LN20j2qGVfNDC2FoLtBAHXjkh4ucFz/Ekr9ixzDG0PlcQ8X2KxzPswevnX8dvzv0Gnf7OuK+z5lnxyXmfxCfmfgKLihchHA5j7dq1cDqdyJMkNJSVYZ3ZAktMDnjCYez1etDodiOoKFi9ejX2799POzbi0EI+pBt9XmQGmmOQmaCFfEh2XE2LGjNACwlCtIPyIfMMjg7i0IVDeO3sa2j3tsd9XaGxECvnrsRt82/D1ZarJx2I0NZwkggdH0gsygcSSyv5oIWxtRZoIQ5ayQmiDZQPYlAUBe2edvym8zd44/wbGAwNxn3t/ML5GHpjCM9+/VnkSRKa5i9AZUFB3NcfGxzE/Z3nEFQUNDU1oa6ubjq6QDSIjg8kFuUDiaWFfEh2XE3ZKjhZlnHx4kVhtqvx7A+vumRZhtvtZtp+rbZ9Wi7DaiZyvMBYgFWLVuGfb/tnbP3UVtxz1T0ozpl4oPWP+vHKmVfwjTe+gb/+zV9jz4d7cClwKfo8bQ1PP9GOeTxR7NhR7Agh2UTEYx7PcT/PMbLaOYbW5woivk9TkSQJS0uW4v6b7sdzdz+Hh5c/jJvLbp708lTnBs7hZ//3ZwCAhrKyhAsaALCioACby8oAAI2Njciy812TpqV8yDQUu9RQ/AhJjHZqzADelxMJhUIwGAxCbPfj2R9edYXDYXR1dWHOnDmqLz+ltn1aLsNKKzkekkN4u+dtvH7+dbRebMWoPBr3tdeUXANHuQPPPPwMXv3Vq7Q1PI20kg/pQp8XmYFX7LRw1gzRDq3kgxbG1lqghTjwvJyIaJ8XvPrEM3YscwytzxVEfJ9Y9Q/349CFQ3jj/BvRneO97/fiwN8eQK4k4eCSpePmFfF4wmHc0X4SQUXB4cOH4XA4prvpGScT8kEt+rzIDDTHIDNBC/mQ7LiavhkTnCRJMBqTu6Z/JuDZH151SZLE9CHF0j4tl2GllRw36AyonFWJylmVGBwdxOGuw/hd5+/wXt97E177Yf+H+NXPf4WjvzqacGu4Ra9HnbUU9rx83N95Dk6nEzt37qSt4QloJR8yEcWOHcWOEJJNRDzm8Rz38xwjq51jaH2uIOL7xKokrwRrKtZgTcUaXPBfwO/P/x7bX9kOAFhpMiW1oAFE5hsrTSYc9PvR2tpKixqTyIR80CqKXWoofoQkRktwgpNlGRcuXBBmuxrP/vCqS5Zl9PT0MG2/Vts+LZdhpcUcLzAW4M6Fd+KbK7+Jxjsb8YVlX8C8wnnR5xVFwUnnSQC0NTzdtJgPmYJix45iRwjJJiIe83iO+3mOkdXOMbQ+VxDxfUqHuYVzUbusFv9r9v8CAJSo2P0PABZd5PUDAwNpb5sIMi0ftIRilxqKHyGJ0aKG4HQ6HWbNmiXMFjKe/eFVl06ng9VqVV0PS/u0XIaV1nPcVmDDvVffi22f3oZ//uQ/Y/Xi1Rg9NQpPhwe5koR1ZktSv2ed2RK9x0ZLS8v0NjqDaT0ftIxix45iRwjJJiIe83iO+3mOkdXOMbQ+VxDxfUqnsUt09IfDqsp55Mjre8I9GAoNpb1dmS5T80ELKHapofgRkhj9ZWQB0a5dyLM/vOpirYelnJbLsMqEHJckCUssS3DfDffhTulOAGxbwwGgtbV12topgkzIB62i2LGj2BFCsomIxzytj/t51aXlMqmU02o96VRVVQUAOBQIwJPkwoYnHMahQAAA8Hb+27j/lfvxnZbv4MCZA/AGvdPW1kyTifmgFRS71FD8CImPFjUEJ8syLl68KMx2NZ794VWXLMvo7e1l2n6ttn1aLsMqE3Pc7/cDYN8afuzMMbiH3GlvlwgyMR+0gmLHjmJHCMkmIh7zeI77eY6R1c4xtD5XEPF9SieHwwG73Y6gomCv15NUmb1eD4KKAkuFBdZrrAjJIbzZ/SaeP/48Hnz1QfzDoX/Af7f/Ny4FLk1v4zUsU/NBCyh2qaH4EZIY3ShccDqdDrNnzxZmuxrP/vCqS6fTobS0lGn7tdr2abkMq0zM8aKiIgDsW8PfGngLDQcasNSyFDWza1AzuwZzCuekvZ2ZKBPzQSsoduwodoSQbCLiMY/nuJ/nGFntHEPrcwUR36d0kiQJDQ0NqK+vR6PbjeV5+Qnv3XdscBCN7siJUtf9yXUTzghXoOD9vvfxft/7+M/3/hMLixaienY1ambXYFHxoqw5gzxT80ELKHapofgRkhgtamQB0W4qzLM/vOpirYelnJbLsMq0HP/41vBkLkEVuzXcerUVAHDScxInPSfx0/d/igVFC1AzuwYrZq3AYvNi6KTsHfhkWj5oCcWOHcWOkMzQ1tYGAKisrERHRwc8Hg8qKysBAB0dHdizZw8qKirQ0dGBBx54ABaLZQZbq10iHvO0Pu7nVZeWy6RSTqv1pNvGjRuxb98+OJ1O1HWew+ayMqwzW8bNNzzhMPZ6PGjsdSOoKFizZg12bdmFd/vfRevFVhy9dBT+Uf+E33124CzODpzF3o/2ojy/HFWzq7Bi1gossy6DUWfk2U3uMjUftIBilxqKHyHxZe+3XllClmVcunRJmO1qPPvDqy5ZltHX18e0/Vpt+7RchlUm5ngqW8PLlpbBeo11wvPnBs5h70d78eTvn8RDzQ/h+befx9GLRxEMB9Pcem3LxHzQCoodO4odIZnjueeew4oVKyBJEh588EFUVFREn9uwYQMee+wxrF+/HuvXr0d9ff0MtlS7RDzm8Rz38xwjq51jaH2uIOL7lG4GgwG7du3C6tWrEVQUbOvpwR3tJ9FwvhNf6+pCw/lO3N5+EtvcPdEFjRdffBEFuQWoml2Fr9i/gufvfh5/f+vf456r7kFZftmk9XQPdcN5yol/OvxPqH+lHt879j389txvhbwPRybnw0yj2KWG4kdIYpKSZct+Pp8PZrMZXq8XxcXFM9IGWZbR3d2N8vJy2kZGKB+yVFNTE+rr65ErSXhh/oIpt4bf33kOQUXB8z96Hp/63Kdw9NJRHO46jO7B7oT1GHVG3FR2E1bMWoHl5ctRml+a7q6QaUTHBxKL8oHE0ko+aGFsrcbzzz+P2tpaABi3C6OjowMbNmzAsWPHoo+VlJSgv78/qd+rhThoJSeINlA+ZLdQKISdO3eisbERLpdrwvN2ux2bN2/GfffdB4Mh/gU8FEXBKd8ptHa1ovVSK84NnEtYrwQJSyxLonOPq4qvyprLVGUSOj6QWJQPJJYW8iHZcTVdfkpwiqIgFArBYDAIMZjg2R9edY3Vo3Z9kaV9Wi7DKlNznHVr+F9s/AsYDAYssy7DF6/9Is4OnEXLxRa0dLXg7MDZCfWMyqNo625DW3fkchtXFV+FFbNWCHuZqkzNBy2g2LGj2BGSWSa7pFRzczOs1vE7Ia1WK9ra2qKXpyIRIh7zeI/7eY6R1cwxtD5XEPF9mi4GgwF1dXXYtGkTWlpacOTIEVy4cAFz586Fw+FATU1NUn2TJAkV5gpUmCvw+Ws/j4uBi2i92IqWiy34qP8jKBifXwqU6CVyX/zgRVjzrFhevhyV5ZW4sexG5BnypqvL00aEfJgpFLvUUPwISYwWNQSnKAp6e3tRXl4uxEGQZ3941aUoCjweD2bPnq26nNr2abkMq0zN8bGt4bW1tXA6ndjW04NGtxsrTSZYdHp45DDeCAQwcnkiOrY1PPZMKkmSsKh4ERYVL8KGazage7AbbZfacPTSUbzX+x5CSmhCvad9p3Hadxp7P9oLS64Fdpsdt9huwc22m1GYU8it/9MlU/NBCyh27Ch2hGQOj8eDPXv2AABaW1ujl6DyeDyTvr6vr2/Sx4PBIILBK5d49Pl8ACJnt83UZSJkWYaiKFwuzdPT0yPUGZ28+sQzduFwGP39/ao+m1jax6tMKuXUEi3Hq6ursXz5cnzwwQdYtmwZDAYDFEVhulZ/eX451ixegzWL18AX9OEt91tou9SGt91vY3B0cMLr+4b6cODMARw4cwBGvRHLSpbhZtvNuLnsZiwsWpgR4ybR8gGgz4tMwfOYxyMfSGbQQj4kWzddfmoGaGErD9EOyofslq6t4R83ODqI4+7jOHbpGNq62zAwMpDw9TrosMSyBLeU3wK7zY4lliXC7eLIRHR8ILEoH0gsreSDFsbWang8nuhOjba2NmzYsAHt7e3YunUrXn31Vbz66qvR1y5ZsgRbtmzB+vXrJ/yeb37zm3jqqacmPP7hhx+iqKho2tqfiCzL8Hq9MJvNdIwglA9knOnOh7AcRvtAO070n8AJzwlcHLo4ZRmz0YzrLNdF/jNfh0Jj5p9glSno+EBiUT6QWFrIh4GBAVxzzTV0+alspygKRkdHYTQaM+IsiKnw7A+vusbqYbn8lNr2abkMq0zP8cm2hp8/fx7z5s1TtTX84wqMBXDMccAxxwFZkfFR/0fRBY7JroUrQ8ZHno/wkecj7PlwDwqNhbjZdjPsNjtutt2MkrySdHR32mV6Pswkih07ih0hmaOjoyN6OamKigp0dHSgo6MDFotlwq6Mvr6+SS9VBQBPPPEEHnnkkejPPp8PCxYsgM1mm9ETpyRJgs1mm9ZJqIjHPN7jfh6xC4fDCIVCsNls0Mdc3jTd7eM5VxDxfeKFJR/UmjN7Dj6JTwIALgYu4s3uN/Fm95t4t+9dhOXwhNcPKoM41n8Mx/qPQZIkXFV8VWQHednNuLrkahh02vi6SsR8oM+LzMArfrzygWQGLeRDXl5ylyrUxqcEmTaKoqC/vx82m02IDxGe/eFVl6Io8Pl8mDNnjupyatun5TKsRMlxSZLgcDiwYsWKcVvD00En6bDMuixyH47rvhi9TJWrx4V33O9gRB6ZUMY/6sehC4dw6MIhAMCi4kW4xXYLbiq7Cddar0WOPictbUs3UfJhJlDs2FHsCMkMbW1tuOuuuybc/NtqtWLVqlV47rnnJpSpqqqa9Hfl5uYiNzd3wuM6nW5GvxCQJGna2zB2Bp9IX37w6hPP2MmyjIGBAcydO1fVZaHUto9XmVTKqSVqjqvNh1TMLZqLuUVzsWbJGgyFhvB2z9t4u+dtvNXzFnqGeia8XkHkhuSnfKfwUvtLyNPn4cayG6Pzj9mm2TM2xhIxHwD6vMgEPOPHIx9I5pjpfEi2XlrUEJxOp8OsWbNmuhlpw7M/vOrS6XQoLS1VfbBgaZ+Wy7ASMcdZ8kGN8oJyfHbxZ/HZxZ/FaHgU7/W9B1e3C2/1vIVOf+ekZc74zuCM7wx+2f5LGHVGXFNyDW4quwk3lt2ICnMF9LrpOeNLLdHygSeKHTuKHSGZoaKiAlu2bIn+3NzcjPXr18NisUzYkdHR0YGqqqq4OzWymYjHPJ7jfp5jZLVjSq3PFUR8n3jhMceIJ9+QH91BrigKugJdeKvnLbzV8xbe7X0XwXBwQpnh8DCOXjqKo5eOAgCseVbcWHYjbiq7CTeU3oDS/FJu7RcxH3ih2KWG4kdIYppe1GhrawMAVFZWoqOjAx6PJ7pdvKOjA3v27IluG3/ggQdo0jEJRVEwMjKCnJwcIc4e5dkfXnWN1cNy+Sm17dNyGVai5jiv2x0Z9cbIzfpsNwMA3ENuvNUdmWS87X4bQ6GhCWVG5VG80/sO3ul9B/ggMlG5ofSG6CLHvMJ5M/ZeiJYPPFHs2FHsCMkMFosFVVVV2Lp1KywWC9rb27F79+7o87t378bjjz+O6upqtLa2jnuOXCHiMY/3uJ/nGFnNmFLrcwUR3ydeeM8x4pEkCXML52Ju4Vzcs/gejIZH8UH/B9FFjjO+M5OW6xvuw+86f4ffdf4OADDHNAc3lN6AG8puwA2lN8Cca562NouYD7xQ7FJD8SMkMU0vajz33HN4/vnnAQCrVq0aN7HYsGEDjh07BiCywFFfX08TjzjGtquJgmd/eNXl9/uZyrG0T8tlWImW46z5kA5l+WW4a9FduGvRXQjJIXzU/1F0knHKewoKJk6EhkJD486kKsktiZ5JdWPZjVzPpALEyweeKHbsKHaEZIbKysroSVIfF7uTY7Kbg5MrRDzm8eoTz9ixjCm1PlcQ8X3iZSbnGPEY9UbcWHYjbiy7EV+67kvwDHvwtjtymaq3e96Gb8Q3abmuQBe6Al1oPtsMAFhUtAg3lN2AG8tuxHXW61BgLEi5bYqi4MiRI2htbcXFixcxe/ZsVFdXw+Fw0BfMKoj4t8QTxY+Q+CRlppfqE3j++edRW1sLAON2YXR0dIxb1ACAkpKSCdfHnYzP54PZbJ7yDurTSZZldHd3o7y8nK5XRygfyDhazoeBkQG82/sujruP44T7BLoCXUmVKy8ox/Wl1+N66/W4rvQ6lBeUT3NLxaHlfCD8UT6QWFrJBy2MrbVAC3HQSk4QbaB8ILEyMR9kRcZZ31m80/sOTrhP4N3edzEcHp6ynA46LDYvxnWl1+E663W41notCnMKk643FAphx44d2L59O1wu14Tn7XY7GhoasHHjxrTdA5G3TMwHMn0oH0gsLeRDsuNqzR+BJ7ukVHNzM6xW67jHrFYr2tra4p55la0URcHw8DDy8vKEOJuAZ3941aUoCoLBINPlp9S2T8tlWImY4yz5wENRTlH0erhA5FJVx3uO40TvCZxwn4An6Jm0XPdgN7oHu/Gbc78BENkNcp31ushCR+n1mFUwK+X3LvZMqv7+fpSUlNCZVCqJ9rfEE8WOEJJNRDzm8Rz38xwjqx1Tan2uIOL7xIuW5xjx6CQdrjJfhavMV2FNxRqE5BA6vB14xx25DO77fe9jVB6dUE6GjHZvO9q97fifjv8BACwsWohrrdfiOut1uK70OpTklUxaZyAQQG1tLZxOJwAgV5Kw0mRCiV6P/nAYhwIBuFwu1NfXY9++fdi1axdMJtP0BSHDifi3xBPFj5DENL2o4fF4sGfPHgBAa2srHnzwQVRUVMDj8Uz6+r6+vgmPBYNBBINXbjzl80W2L8qyDFmW09/oJMiyDEVRuNSvKAoGBgaEuQYfz/7wqkuWZQwODkKWZdWDerXt03IZVqLlOGs+zARrrhWfnv9pfHr+p6EoCs77z0d2cfRePpMqNPmZVO5BN14ffB2vd74OACjJK4lOMK6zXoe5prlJ933sTKpnn3027plUX/nKVzL2TCr6vMgMPD8veOUD0T6t5MNM109mRiAQQF5e3kw3I6149Yln7AYHB1WXYWkfrzKplNNqPTyx5IOWGHQGXFNyDa4puQb3Xn0vRsOj+LD/Q5xwn8CJ3hM42X8SMib/TDo7cBZnB87ilTOvAABmF8zGtaXXRneS2/JtCIfD0QWNPElCQ1kZ1pktsOj10d/jCYex1+tBo9sNp9OJ2tpa7N+/PyPnGbyI+LfEE8WPkPg0ffkpj8cT3anR1taGDRs2oL29HVu3bsWrr76KV199NfraJUuWYMuWLROuf/vNb34TTz311ITf/eGHH6KoqGha2x+PLMvwer0wm820tYtQPpBxRMmHsBLGWf9ZfOj7ECd9J9E+0J7UdnEAKDIWYWnRUlQUVaCiqAILTAtg0E2cKAwODuKBBx7AgQMHAEx+JlXw8kfcXXfdheeffx4FBalfX5cnUfKBpAflA4mllXwYGBjANddcQ5efostPEY2hfCCxsiEfhkJDeL/vfbzjfgfv9b2HDk9H3EWOj7PmWeH5rQc//9bPkSdJaJq/AJUJ5g3HBgdxf+c5BBUFTU1NqKurS1c3uMiGfCDJo3wgsbSQD0JcfqqjoyN6OamKigp0dHSgo6MDFotlwq6Mvr6+SS9V9cQTT+CRRx6J/uzz+bBgwQLYbLYZnXBIkgSbzTbtCaIoCoaGhpCfny/Embc8+8OrrnA4jGAwCJvNBn3MWSDT0T4tl2ElWo6z5oMWzZk1Bw5ELlUVlsM47TuNd/vexfu97+P9/vcxODr52WLDyjBO+E7ghO8EgMgNBJeYl+CakmuwrGQZrim5Bnm6PGzatAkHDhxI6kyqAwcOYPPmzXjppZcy6kwq+rzIDLxixzMfiPZpJR/o7MHsI+LnBa8+zcQYWe3lp7Q8VxDxfeKFJR8yTb4hH8vLl2N5+XIAkUWOk/0n8V7fe3i3912c9Jyc9HJVANA71ItXfxo5abahrCzhggYArCgowOayMmzr6UFjYyM2bdokTK6kk4h/SzxR/AhJTLPf7LS1teGuu+6acPNvq9WKVatW4bnnnptQpqqqasJjubm5yM3NnfC4Tqeb0QmgJElc2jB27UyTySTEQZBnf3jVpSgKRkZGVOcDS/u0XIaViDnOkg9ap9PpcLX1alxtvRprl66FrMg44zuDd3vfxXu97+G9vvfgH/VPWnZUHsX7/ZGFkDF9v+1D88vNCc+ksuj1qLOWwp6Xj/s7z+Hll1/GT37yk4w7k4o+L7SPZ+x45QPJDFrIB8rF7DT2JYtIePWJZ+xGRkZUl2FpH68yqZTTaj08seRDJss35OMm2024yXYTAGA0PIp2b3t07vFB3wfRneR9H/TB0+FBriRhndmS1O9fZ7ag0e2Gy+VCS0sLHA7HdHUlo4n4t8QTxY+Q+DS7qFFRUYEtW7ZEf25ubsb69ethsVgm7Mjo6OhAVVXVpDs1sp0kSSgtLZ3pZqQNz/7wqkuSJJjNZtVfhLG0T8tlWImY4yz5kGl0kg6LzYux2LwYayrWQFZkdA50RndyfND/AfqGJ94nCYh8gXz0F0cB0JlU6STa3xJPFDtCSDYR8ZjHc9zPc4ysdkyp9bmCiO8TL9kyx0jEqDfiWuu1uNZ6Le7FvdGd5O/1vYem3zYBAFaaTON2fidi0eux0mTCQb8fv/zNL3HLiluQZ6Ddi7FE/FviieJHSGKaXdSwWCyoqqrC1q1bYbFY0N7ejt27d0ef3717Nx5//HFUV1ejtbV13HPkCkVREAgEhDnzlmd/eNWlKAoGBwdVbwVmaZ+Wy7ASMcdZ8iHT6SQdFhYvxMLihfjsVZ+FoijoHe7FB30f4IP+D/B+3/s45zsHGTKdSTVNRPtb4oliRwjJJiIe83iO+3mOkdWOKbU+VxDxfeIlW+cYieh1eiyxLMESyxIctx7HfuxHicrL/1p0kdf/97v/jY5fdWBB0QIssSzBUstSLLEswYKiBdDrMvuSwqkQ8W+JJ4ofIYlpdlEDACorK6P31Pi42J0cH785OBlvdHTy60ZmKp794VVXKBRiKsfSPi2XYSVajrPmg0gkSUJZfhnK5pXhE/M+AeDKdXH/reXfALCfSfWD//4BsBBYalmK0nw68yWWaH9LPFHsCCHZRMRjHq8+8Ywdy5hS63MFEd8nXmiOEV9RUREAoD8cVlXOI0deb8g3QIaMMwNncGbgDF479xoAIEeXgwpLBZaYIwsdS0uWwpZvy6ovqEX8W+KJ4kdIfJpe1CCpkyQJJSUlM92MtOHZH151SZKE4uJipstPqW2flsuwEjHHWfIhG4xdF3dp/lIAYD6T6s1zb+J7x74X+R15JbjacjWWWpaiwlyBxebFKMwpTG/DM4Rof0s8UewIIdlExGMez3E/zzGy2jGl1ucKIr5PvNAcI7Gx+7MeCgTgCYeTOnHKEw7jUCAAALBebZ30NSPyCN7vex/v9125N2BRTlF0J8fVlqtRYalAcU5xGnqhPSL+LfFE8SMkMVrUEJyiKPD7/SgsLBRiAMOzP7zqGttSyHL5KbXt03IZViLmOEs+ZJN0nEk1pn+4Hy0XW9BysSX6WHlBOZaYl6DCUoHFxYuzZqFDtL8lnih2hJBsIuIxj+e4n+cYWe2YUutzBRHfJ15ojpGYw+GA3W6Hy+XCXq8Hddapd3Pv9XoQVBTcbL8Z3/4/30aHrwPtnnac9JzEUGgobrmBkQG82f0m3ux+M/pYeX55ZO5hXowKcwWuMl8lxEKHiH9LPFH8CEmMFjWyQFjlF39ax7M/vOqSZZmpHEv7tFyGlWg5zpoP2SLVM6nKri5L+NruwW50D3bjD11/iD5WXlCOCnNF9D9RFzpE+1viiWJHCMkmIh7zePWJZ+xYxpRanyuI+D7xQnOM+CRJQkNDA+rr69HodmN5Xj4qCwrivv7Y4CAa3W4AwMObH4ZjrgOOuZF79smKjK5AV3SB42T/SZzxnUFIiX/5r+6hbnQPdeNw1+HoY2X5ZdETrMZOtrLkWdLTYY5E/FviieJHSHySkmVL9T6fD2azGV6vF8XFM7PyLcsyuru7UV5eDp1ONyNtINpB+UBiUT5MTVEUVFZWwuVy4VGbLakzqV7o68W2nh4sX74ch1oO4bTvND7q/wgnPSfR7mlHz1CP6naU55djsWVxdKFjOs6oonwgsSgfSCyt5IMWxtZaoIU4aCUniDZQPpBYlA9TC4VCWLt2LZxOJ3IlCZvLyrDObBl3ApUnHMZejweNvW4EFQVr1qzBSy+9BIMh8fnCo+FRnB04i488H6Hd0452TzvO+8+rbmNJbgkWmxeP+680r1T1WfyUDyQW5QOJpYV8SHZcTTs1BKcoCgYGBlBUVCTEdjWe/eFV19iWQpvNprqc2vZpuQwrEXOcJR+ySSpnUjU0NCDPkIdrrdfiWuu10dd4g16c8p5Ch7cDHZ4OdHg70Dvcm7AdY2dUHek6En3MmmfFouJFuKr4KiwsXojFxYsxyzQLOkn7g0PR/pZ4otgRQrKJiMc8nuN+nmNktWNKrc8VRHyfeKE5xtQMBgN27dqF2tpaOJ1ObOvpQaPbjZUmEyw6PTxyGG8EAhi5fF7wmjVr8OKLL065oAEARr0RSyxLsMSyJPrY4OhgdDdHh7cDp7ynpjzRqj/Yj/7ufrR1t0UfK8opwuLixbjKfBUWFi3EVcVXYU7hHBh0M/91n4h/SzxR/AhJbOaPcoQQQohKGzduxL59++B0OlHXeS7pM6nuu+++SX+fOdcMe7kd9nJ79LGxhY5T3lNo97QntdDRN9yHvuG+cdfIzdXnRiYY5quwqHgRFhUvwsKihcgz5KUWBEIIIYQQQkjamEwm7N+/Hzt37kRjYyNcLhcO+v3jXmO327F582bcd999SS1oxFNgLMBNtptwk+2m6GMDIwM47T0dXeQ45T2Fi4MXE/6egZEBvO1+G2+7344+ZtAZML9wfnTuMfZfUU4Rc3vVUBQFR44cQWtrK9xuN8rKylBdXQ2Hw0FfzhNC0oYuPzUDtLCVh2gH5QOJRfmQvEAgED2TCgByJWnKM6lMJlNKdcYudHR4Izs63ENu1b9HgoTZptnRXR2LihdhYfHCCdvHeeTD2KTj6NGj0TOBqqqqaNKhQXR8ILG0kg9aGFtrgRbioJWcINpA+UBiUT6opygKWlpa0NraGh0jV1dXo6amhusYeXB0EKd9p6Pzj1PeU7jgvwAF6r/KK8krwaKiyAlWxXIxbllwC+YVzYNeN/U9CpMRCoWwY8cObN++HS6Xa8LzdrsdDQ0N2LhxY0oLQiS96PhAYmkhH5IdV9OixgzgmSCKosDr9cJsNgvx5RTP/vCqKxwOo6OjAxUVFdAnccPjVNqn5TKsRMtx1nzIVqFQaNyZVB+XrjOpEvEGvTjtO40zvjM44zuD097TuOC/ABnqb8aYb8jHgqIFWFi0EAuKFmBe4TzkD+ejYl5F2j8vaNKRPryOQ1oYYBLt0Eo+aGFsrQVaiAOvnBBt7AXw6xPP2LGMKbU+VxDxfeKF5hjstJgPQ6EhnPWdxSnfqegJV+cHzie8Gfk4CjAaGoXRYIRRb4zMP4oXRucg84vmoyS3RFV/451wVqLXoz8cxqFAAMHLXz+uXr0au3btSvmEM9HRHIPMBC3kA91Tg0SJNmjh2R9edbEeKFjap+UyrETLcRpIJM9gMKCurg6bNm1CS0sLWlpa0Nvbi9LSUtTU1HA5k8qca8Yttltwi+2W6GOj4VGcGzg3frHDdxpDoaGEv2soNIQP+z/Eh/0fRh64POEofa8Ui4oXYUHRguh/84vmI9+Qz9TmZCYdLpcL9fX12LdvH006kiDacYgQQhIR8ZjHq088Y8cyptT6XEHE94kXmmOw01o+5Bvyscy6DMusy6KPjcqj6PJ34bTvNM76zkb/7x3xJvxdo/JodAd6rEJjIeYXzY/OOxYULcD8wvkw55on/I5QKBSdW+RJEhriXRrY60Gj2w2n04na2lrs37+fTp6agtZyjxAtoZ0aM0ALq15EOygfSCzKB3EpioKeoZ7oAscZb2Sxo3uoO0GhK2dRYZK1mfL8ciwoHr+zY27hXOToc+L+ylAohLVr1yY96QgqClavXk2TDg2g4wOJpZV80MLYWgu0EAet5ATRBsoHEovyIXt9fFf5Gd8ZnB84j+BoMO4cIxFzjjm6yDG24NG8qxlf/cpXkSdJaJq/AJUFBXHLHxscxP2d5xBUFDQ1NaGuri7FHpJU0fGBxNJCPtBODQIg8iWax+OBxWLRzFbJVPDsD6+6FEWBz+eDzWZTXU5t+7RchpWIOc6SDyRCy/kgSRLKC8pRXlCO6tnV0ccDowGcGziHcwPncNZ3Nvpv/6g/wW+L6B7qRvdQN45dOnalHkiw5dswr2ge5hWO/68wpxA7duyILmjEm3RY9HrUWUthz8vH/Z3n4HQ6sXPnTpp0xKHlvCOEkHQT8ZjHc9zPc4ysdkyp9bmCiO8TLzTHYJfp+TDZrvLgaBDHzx7HgHEAZwfO4qzvLM4MnMHAyMCUv8874oW314t3et8BEInPq999FQDQUFaWcEEDAFYUFGBzWRm29fSgsbERmzZtysi48pDpuUfIdKNFjSxgNBpnuglpxbM/vOpiPfuZpX1aLsNKtByns+FTk2n5YDKacK31WlxrvTb6mKIo6A/246z3LN45/w68khed/k6cGziHEXkk4e9ToEQXO97sfnPcc8XGYvzP1v8BQJOOdMu0vCOEkFSIeMzj1SeesWMZU2p9riDi+8QLzTHYiZYPRr0R803zJ5yJ7Q16cW7gHDoHOqMnWnX6OxEYDcT9XX0f9MHT4UGuJGGd2ZJU/evMFjS63XC5XGhpaYHD4Ui1S8ISLfcISSf6VBOcJEkoLCyc6WakDc/+8KpLkiQUFBSo/qKQpX1aLsNKxBxnyQcSIUo+SJIEa54VlhwLZiuzoxMOWZHRPdg9YWdHsjcmP3X8FC5+dJEmHWkmSt4RQkgyRDzm8Rz38xwjqx1Tan2uIOL7xAvNMdiJmA/xmHPNMOeacWPZjdHHFEVB33Bf9ASrsUWPzoFODIeH0XeyDwCw0mQadznbRCx6PVaaTDjo9+O7v/guvlDyBcwtnBu5lK5pLox6+iIfyK7cI4QFLWoITlEU9PX1wWq1CjGA4dkfXnUpigKv18t0+Sm17dNyGVYi5jhLPpAI0fLh43SSDrNNszHbNHvcJaxGw6PoCnSh09+J8/7zuOC/gPMD53EhcAGj8mj0dalOOn78qx+joKIAcwrnwJpnhU6ia64C4ucdIYTEEvGYx3Pcz3OMrHZMqfW5gojvEy80x2AnYj6oIUkSSvNLUZpfOu4SVrIio3eoF0/94Sm8iTdRovKG1hZd5PUfXvwQuz/cfaU+SLAV2KILHHML52JO4RzMLpgNa152vQfZnnuETIUWNbJAfn7+TDchrXj2h1ddOTnxb+qbCEv7tFyGlWg5zpoPJEK0fEiGUW/EwuKFWFi8cNzjYzs7zvvP47z/PF545YWUJh2vd7wO9xF3pE6dEXNMcyL/Fc4Z9+8iY1HWDbyzMe8IIdlLxGMerz7xjB3LmFLrcwUR3ydeaI7BTsR8SJVO0sFWYMO1cyKX0O0Ph1WV98iR1xvyx38tqUBB92A3uge78SbGX0o3T5+HWaZZV+YdpjnRE76Kc4qFnH9Q7hESHy1qCG5sm6koePaHV12SJCE/P5/p8lNq26flMqxEzHGWfCARouVDqmJ3dqyYtQJnrzmLX+KXaZl0jMqjkRsLDpyd8PpCYyFmm2ZjjmkO5hbOxeyC2ZhlmoVZBbNQmCPeFmrKO0JINhHxmMdz3M9zjKx2TKn1uYKI7xMvNMdgJ2I+pFNVVRUA4FAgAE84nNRucE84jEOByH06lty0BBIkKFCmLDccHsYZ3xmc8Z2Z8JzJaMLsgtmRXR2m2ZhrmhudjxQYM+v9UxQFR44cwdGjRzEwMICioiJUVVXB4XDQ3zAhMWhRQ3CKoqC3txelpaVCHPx49odXXYqioL+/n+nyU2rbp+UyrETMcZZ8IBGi5UO6pTrpsF5tTaoe/6gfJz0ncdJzcsJzJqMJswoiCxyzTbMj/7684FGSV5JRl7Qam3C0trbi0qVLmDVrFqqrq2nCQQgRmoiftTzH/TzHyGrHlFqfK4j4PvFCcwx2IuZDOjkcDtjtdrhcLuz1elBnLZ2yzF6vB0FFwfLly7HroV0YlSOX0h3bXX7BfwHn/efR5e/CiDySVDsCowG0e9vR7m2f8Jw5xxxd7JhdMH7+YTKaNPO+hkIh7NixA9u3b4fL5ZrwvN1uR0NDAzZu3AiDgb7OJYT+CrKAyWSa6SakFc/+8KqL9cwPlvZpuQwr0XKczgRKjWj5kE7pmHRcHLyILn8XugJduBC4gIuBi7gUuISQEkqqDYHRADq8Hejwdkx4zqgzorygfNIFD1u+TTM3DaQJByEk24n4WcurTzxjxzKm1PpcQcT3iReaY7ATMR/SRZIkNDQ0oL6+Ho1uN5bn5aMyQa4dGxxEoztyOduGhgZIkoQcfQ4WFS/CouJF414rKzL6hvvQ5e/CxcGLuOCPzD0uBi7i0uAlhJXkdp97R7zw9nnxft/7E54rMBRE5xvlBeXRHeblBeUoyy/jdsJVIBBAbW0tnE4nACBXkrDSZEKJXo/+yyeZuVwu1NfXY9++fdi1axflJcl6NNMW3Ng2U1Hw7A+vuiRJQm5uLtPlp9S2T8tlWImY4yz5QCJEy4d0S3XSYc23wppvxfWl1497XVgOo2eoBxcDkclGV6Ar+p97yJ10+0bl0egZWhPajshNCscmHOUF5bDl2yL/L7DBkmvhMumgCQchJNuJ+FnLc9zPc4ysdkyp9bmCiO8TLzTHYCdiPqTbxo0bsW/fPjidTtR1nsPmsjKsM1vG7Qr3hMPY6/GgsdeNoKJgzZo1uO+++xL+Xp2kQ1l+Gcryy3ATbhr3XOz8Izr38HfhYuAieoZ6krqcFQAMhgZxynsKp7ynJjxnkAwoyy8bv+hx+cSr8oJy5BnykqpjKqFQKDq/yJMkNMSLn9eDRrcbTqcTtbW12L9/P51ARbIaZb/gFEVBT08PbDabEAMYnv3hVZeiKOjr62O6/JTa9mm5DCsRc5wlH0iEaPkwHaZj0qHX6aP37rCX28c9NxIewaXBS7gUuBT5f8y/ewZ7kt7hoUCBe8gN95Ab7/S+M+F5o86IsvyycQsd5fmX/19QnpabB9KEgxBCxPys5Tnu5zlGVjum1PpcQcT3iReaY7ATMR/SzWAwYNeuXdFx8raeHjS63VhpMsGi08Mjh/FGIIARJbLQsGbNGrz44ospjY/HzT9gH/fcaHgUFwcvRnd1xJ5w1T/cn3QdISUU+T2DFyd93pxjju7qsOXbxs0/SvNLYdQlt8t8x44d0flF0/wFk550ZtHrUWcthT0vH/d3noPT6cTOnTtRV1eXdH8IEQ3NsLOA2Wye6SakFc/+8KqrsJDtxrks7dNyGVai5ThrPpAI0fIh3XhPOnL0OVhQtAALihZMeE5WZLiH3BMWPC4ORi5pNRweTrqesWvxdgW6Jn0+V58bnWxMtvBRaCyccqJKEw5CCIkQ8bOWV594xo5lTKn1uYKI7xMvNMdgJ2I+pJvJZML+/fuxc+dONDY2wuVy4aDfP+41drsdmzdvxn333TetJ/wY9ca484/YE666B7ujc5DuwW50D3ZjVB5Nuh7viBfeES8+7P9wwnMSJJTklVxZ8IiZh8QueiiKgu3btwMAGsrKEu6iB4AVBQXYXFYWmcM1NmLTpk202EaylqQoSnJ7sgTh8/lgNpvh9XpRXFw8I22QZRnd3d0oLy+HTpc5N0Ql04PygcSifCCxpjMfQqHQuEnHx/GadMSjKAp8I77oNXPH7fAY6lF1llUy8vR50e3tY/+V5pdG/23JtcBR5YDL5cKjNltS9yN5oa8X23p6YLfb0dbWlvKEg44PJJZW8kELY2st0EIctJITRBsoH0gsygcSa7rzQVEUtLS0oLW1FQMDAygqKkJ1dTVqamo0/QX82D08uge7J91l7h/1T/1LkjS26DHSMYL/++D/Ra4k4eCSpeN2gMfjCYdxR/tJBBUFhw8fhsPhSKktdHwgsbSQD8mOq2mnhuBkWY5ulRTh4MSzP7zqkmUZvb29KCsrU1UPS/u0XIaViDnOkg8kQrR8mE4GgwF1dXXYtGkTWlpa0NLSgosXL2L27NmoqamZ8UmHJEkw55phzjVjmXXZhOdHw6NwD7nRPdSNnsEedA92o2fo8v8He+Ad8aqqbzg8jE5/Jzr9nZM+3/t+L1wuF3IlCevMlqR+5zqzBY1uN1wuF1paWlKecBBCiBaI+FnLc9zPc4ysdkyp9bmCiO8TLzTHYCdiPkw3SZLgcDhQXV2dUbGLvYfHx+8hCACB0cDEXR6BS+ge6kbvUG/SNy4HIpfW7Rvuw0dtHwFAZNd8EgsaQGRn+EqTCQf9frS2ttIcg2QtWtQQnCRJKCkp0fRquBo8+8OrLkmSUFys/lrvLO3TchlWIuY4Sz6QCNHygYexSUdNTQ1GR0dhNBozIn5GvRFzCudgTuGcSZ8PhoPoGewZt9DRPdQN96Ab3YPdGBgdUFVf38k+AOwTjldffxU3Vd6EAmPiLeWEEKJ1In7W8hz38xwjqx1Tan2uIOL7xAvNMdiJmA+8iBY7k9GECnMFKswVE54b2+UxNv8YN/dIsOgRGorcX7AkyfnFGIsu8vqfvfUzeA57ruwwz7uy27w0vxS5+lyGnhKSGWhRQ3CSJCEnJ2emm5E2PPvDqy5Jkpi+RGRpn5bLsBIxxzPlS2UtEi0feBItdrn6XMwvmo/5RfMnfX4oNDRuh8fYTcjdQ270DvfCM+yBgitX6Ex1wrHr+C4c//Vx5OnzUJpfCmueFaV5pSjJK4n+PPZfOm5qTggh00W0zwuA77if5xhZ7ZhS63MFEd8nXmiOwU7EfOAlm2IXu8vjOlw34fl4ix6BsgCO4zj6w8nv8gAAjxx5/ZB+CMfdx+O+rshYBGu+dfwldvOuLHpYci3QQfu7aAiZDC1qCE4L10JLJ5794VWXLMtwu91Ml59S2z4tl2ElYo6z5AOJEC0feMq22OUb8rGweCEWFi+c9PlReRT9w/3RhY6ftPwkpQmHIT8y5BoOD+O8/zzO+8/HLWPQGWDNtaI0//Kix+XFD2uuFRgE9EV6WPOt0OvULbAQQkg6iPh5wXPcz3OMrHZMqfW5gojvEy80x2AnYj7wQrG7It6ix/INy/H/vvf/cCgQgCccTvqeGocCAQCA9WprwtcOjA5gYHQAZ3xnJn1egoSinCKYYMIcyxyU5peiNO/KCVcleSWw5llptznRJFrUEJwkSSgtLRXmjAye/eFVlyRJsFgsTDs11LZPy2VYiZjjLPlAIkTLB54oduMZdUaUF5SjvKAcAJCzOgdN/9Q0bROOWCE5hO6hbnQPdY9/QgFGQ6Mwvm+ETtLBnGuGNc8KS54FJbklKMkrQUluSeTny/8255qhk7J7EkkISS8RPy94jvt5jpHVjim1PlcQ8X3iheYY7ETMB14odlNzOByw2+1wuVzY6/Wgzlo6ZZm9Xg+CioJF1y3Cn9z+J+gd7oV7yI3+4X7IkFXVr0CBL+hDb6gXXcEuIM5bFbvbfNxJV5cXP0rzSlGcW0zzDsIVLWoIbmybqSh49odXXZIkwWAwMA3q1bZPy2VYiZjjLPlAIkTLB54odomlMuG4/ubr8Y9f+Ef0B/vRN9x35b+hyP9DSkh1e2TI6A/2oz/YDyS4J7oOkcWP2IUPS64lshiSa4n+bMm10M4PQkhSRPy84Dnu5zlGVjum1PpcQcT3iReaY7ATMR94odhNTZIkNDQ0oL6+Ho1uN5bn5aOyIP6uiGODg2h0uwEA33j0G6hbURd9LiyH0R/sR+9QL3qHeuEejrm87uXH1N5XcEwyu831kj46z7DmX7nUriXXcuXEq9wSmIwmOhaRtKBFDcHJsoyLFy9i9uzZQmz349kfXnXJsoyenh6my0+pbZ+Wy7ASMcdZ8oFEiJYPPFHsEktlwvHIw49g5byVk75OVmQMjAygd7g3usjx8f96h3oxHB5manfs4scpnIrfP0gozimOTjYseRZYc6/sAjHnmmHJtcCca0aeIY+pLYQQMYj4ecFz3M9zjKx2TKn1uYKI7xMvNMdgJ2I+8EKxS87GjRuxb98+OJ1O1HWew+ayMqwzW8btDPeEw9jr8aCx142gomDNmjW47777xv0evU4fvcRVPMFwMLLgcXmhoz/Yj97BXnT2d2JYGkZ/sB/ekQRnTCUQVsLoHe5F73Av4In/OqPOOG6RI/r/mBOuSvJKUJRTRDs/SEKSoijK1C8Th8/ng9lshtfrRXFx8Yy0gfd1BcPhMPQqb2yqZTz7w6MuWZbR1dWFOXPmqM4HlvZpuQwrkXI8lXwgEaLlA31eaEcoFMLatWvhdDqRK0lJTzheeuklGAzs55EoioKh0BDcg26c7DoJ5GPcro/+YD88wx54g17VW85Z5OnzYM41j1voiP47x0wLIJxo5TrVWhhba4EW4sAzJ0T8vODVJ171sI4ptT5XEO194oXmGKkRMR/o80JbAoEAamtr4XQ6AQC5koSVJhMsOj08chhvBAIYufz17Zo1a/Diiy/CZDKlpe6P58OoPArPsCdyctVwL/qHJ9ltHuxDSFa/21wNvaSHOdc85QII7ThPLy3MMZIdV9NOjSwg2rYunv3hVRdrPSzltFyGFeU4iUXxY0exS8xgMGDXrl3RCce2nh40ut1TTjhSWdAAIu9LgbEA84vmI2coJ+4AU1ZkeIPeyM6M4chCx9i/xxY+xv6fyuLHcHgYw4PDuDR4acrX5unzUJxbHJ1w0AIIIWIQ8fNC6+N+XnVpuUwq5bRaD08i9okXih07il1yTCYT9u/fj507d6KxsREulwsH/f5xr7Hb7di8eTPuu+++lOcXiRh1RtgKbLAV2OK+RlEU+EZ8ExY8Pr4IEhgNMLcjrISjvyfR5XbHdpyPzTNi5xeWXEtkN/rln4tzimkBRCC0qCE40bb7iXhZI1mW0dvbq3oVVMvbw0V8n3hhzQcSIVo+8ESxS46WJhwfp5N0kRuE55UA5vivG7vkVf9wPzxBT3TRo384ZgEk6IFn2MN0v49YYwsg3YPdU742dgGkKKcI5hwzinOLUZxTjKKcouhkpTgn8phRT9doJmQmiPh5IeJljVjGlFqfK4j4PvFCcwx2IuYDLxQ7dQwGA+rq6rBp0ya0tLSgpaUFFy5cwNy5c1FTU4OamhrNLBJJkhRdQLjKfFXc142ER67MOT52klXs/30jPua2KFDgHfFGLps1xS1DJEgozCmEOWeSHedjiyC5xdGTrww6+tpcy+jyUzOA91YeWZaF+gDh2R8edaXyQc/SPi2XYSVSjtPAL3Wi5QN9XmiXoihoaWlBa2srfD4fiouLUV1dPW0TDu75oMjwj/qjl7byBD2RCcPYv2P+7wv6uFz6KtbYZbCKc4pRnFs8YSFk7PHinMjERLRFEC1sDQe0MbbWAi3EgWdOiPh5watPPOthXTjQ8lxBtPeJF5pjpEbEfKDPi8zA6zupmR5ThuRQZMd5zAlWsSdgjS2KeIf5XG53TKGxcNKd5rFzkLF5R74hXzOLTqnQQj7Q5adIlGjrVjz7w6su1npYymm5DCvKcRKL4seOYqeOJElwOBxwOBxCXi9YJ+mig/SpjO3+8AV9kV0eMQsgY4sfnqAHvqAvbff+UHMZLODKTpCPL3iM7QApNBaiKKcIRTlFKDQWosBYQDcnJCQOET8vtD7u51WXlsukUk6r9fAkYp94odixo9ilJlviZ9AZUJpfitL80oSvS7Tj3Bv0jjsBayg0lHK7/KN++Ef9OO8/P+VrjTpjdHf5x+caE37OLUaBoUCIRZCZRIsagpNlGZcuXRLmjAye/eFVlyzL6Ovrw6xZs1SfRaW2fVouw0rEHGfJBxIhWj7wRLFjR7GLLICMnbW0AAsSvvbjCyDekSs7Psb+GxgZgHcksgNkRB5JSxvVXAoLAHTQoTBn/ELH2L+LcopQZCya9HlaCCGiE/GYx3Pcz3OMrHZMqfW5gojvEy80x2AnYj7wQrFLDcVvotg5x1RGwiPjTrAam1t8fMe5d8Sb0r0/xozKo1fuAZIEg2S4sggyyYlXH3/OZDTRPONj6PJTM0ALW3mIdlA+kFiUDyQW5QOJla35MBwahm/EB1/QF/n/2H/Byf8dDAdnrK0SJJiMpvG7PnIKUWQsGrcgUphTiGJjMQpzClGYUwijTv2lsbSSD1oYW2uBFuKglZwg2kD5QGJRPpBYlA8kFuUDMBoeHbfLfGzRwzfim3jy1egUN+6YJjroxs0nxhY+xk6yKs4pnnASFstuEC3kA11+igCIbFULhUIwGAxCbGvi2R9edY3Vo3Z9kaV9Wi7DStQcz7L15rQRLR94otixo9hNrzxDHvIMeSgvKE/q9WOLIAMjA9EFD++IN7o7xDfii+4G8Y34MBweTltbFSjRbeoXBy8mXS5PnxdZ4Lg8ERlbGBl7bNy/L/+/QF+QtnYTooaIxzze436eY2Q1Y0qtzxVEfJ94oTkGOxHzgReKXWoofvwY9UaU5ZehLL9syteG5FB0jhGdb3xsfhF70pV/1J+WNsqQr9wQPUljCyGFOYWTLnrE7jYfWyTJ0+elpb080KKG4BRFQW9vL8rLy4U4CPLsD6+6FEWBx+PB7NmzVZdT2z4tl2ElYo6z5AOJEC0feKLYsaPYaYvaRZBgOIiBkQEMjAzAP+KPTEZGfeN+HhgZgH/0yr/TuRACXL401tAw3EPu5AspgCRLKCkowUP2h3CT7aa0tomQeEQ85vEc9/McI6sdU2p9riDi+8QLzTHYiZgPvFDsUkPx0yaDzgBrnhXWPGtSrw/JIfhH/OMXO0Zjdpp/bDe6f8QPBelZgI5dCDmPqe8LAkR2nucoObhh1g14vObxtLRjutCihuB0Op1QAxee/eFVl06nQ1lZmeptXSzt03IZViLmOEs+kAjR8oEnih07il1my9XnIjc/N6kzs8aMhkcxMBqz6BHz77FdIrGLIP5Rf1qu1ftxI/II+ob76DODcCXiMY/nuJ/nGFntmFLrcwUR3ydeaI7BTsR84IVilxqKnxgMOgMseRZY8ixJvT56/8E4l9wdm2OMzTkGRgYwKo+mrb2KosAf8mNoNPUbrU83WtQQnKIoGB0dhdFoFGJll2d/eNU1Vg/L5afUtk/LZViJmuO0NZyNaPnAE8WOHcUu+xj1Rlj1yZ+hBQBhOTxhoSP23/6RyMLH2ALJ2GPJ3Ci9yFiUSncIUUXEYx7vcT/PMbLay09pea4g4vvEC80x2ImYD7xQ7FJD8ctOam6GPibRzvOxx8YuhTX281Q7z4tytD+/oEUNwSmKgv7+fthsNiEOgjz7w6suRVHg8/kwZ84c1eXUtk/LZViJmOMs+UAiRMsHnih27Ch2JBl6nV71BAUARsIjkZ0eI5EFj8BoIDIxCfrQ1dcFXZ4u6TO/CEkHEY95PMf9PMfIaseUWp8riPg+8UJzDHYi5gMvFLvUUPxIslh3nsfuMB+79NXYHOOG8humscXpQYsagtPpdJg1a9ZMNyNtePaHV106nQ6lpaVMl59S2z4tl2ElYo6z5AOJEC0feKLYsaPYkemUo8+ZdFeILMvoLupGeXk5fWYQrkQ85vEc9/McI6sdU2p9riDi+8QLzTHYiZgPvFDsUkPxI9PJqDeiNL8Upfml4x6XZRnd3ZE5htbRJ5rgFEVBMBgUZpspz/7wqktRFIyMjDBdfkpt+7RchpWIOc6SDyRCtHzgiWLHjmJHCMkmIh7zeI77eY6R1Y4ptT5XEPF94oXmGOxEzAdeKHapofgRkhgtamQBr9c7001IK5794VWX3+9nKsfSPi2XYSVajrPmA4kQLR94otixo9gRQrKJiMc8Xn3iGTuWMaXW5woivk+80ByDnYj5wAvFLjUUP0Lio8tPCU6SpIzYMpQsnv3hVZckSbBaraqvkcjSPi2XYSVijrPkA4kQLR94otixo9gRQrKJiMc8nuN+nmNktWNKrc8VRHyfeKE5BjsR84EXil1qKH6EJEY7NQSnKAqGhoaE2a7Gsz+86kpl+7Xa9mm5DCsRc5y2mLITLR94otixo9gRQrKJiMc8nuN+nmNklstCaXmuIOL7xAvNMdiJmA+8UOxSQ/EjJDFa1MgCgUBgppuQVjz7w6uuwcFBpnIs7dNyGVai5ThrPpAI0fKBJ4odO4odISSbiHjM49UnnrFjGVNqfa4g4vvEC80x2ImYD7xQ7FJD8SMkPrr8lOAkSUJZWdlMN+P/Z+9fg9vKzjvR+79BUpTEGwCKklrd6gvY7WsuNkh1x85kElukM7l4PBOT6lPnNpnJK7I8ni+nzykxqvdDqk+9FYXM5MOZcmZCqlOVTKpOIpHJsSdJT2yiYydz4olbItyOY8dtm1Bf1ZIokuBNIkVy7/cDgi1AJCHuZwMPFhb+v6quIi4La+1nP72xHu29NspGc3u0+nIcB7FYTHT7qaDjM7mNlI05LskHyrEtHzQxdnKMHRHVExuPeZrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUGldqWM7zPNy5c8ea5Wqa26PVV5jl10HHZ3IbKRtznEtM5WzLB02MnRxjR0T1xMZjnua8X3OOLLktlMm1go37SQtrDDkb80ELYxcO40dUGk9q1IG7d+9Wewhlpbk9Wn3du3dP1E4yPpPbSNmW49J8oBzb8kETYyfH2BFRPbHxmKe1TZqxk8wpTa8VbNxPWlhjyNmYD1oYu3AYP6K98fZTlnMcB52dndUeRtlobo9WX47joKOjQ3T7qaDjM7mNlI05LskHyrEtHzQxdnKMHRHVExuPeZrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUGldqWM7zPKyurlqzXE1ze7T6CrP8Ouj4TG4jZWOOc4mpnG35oImxk2PsiKie2HjM05z3a86RJbeFMrlWsHE/aWGNIWdjPmhh7MJh/IhK40mNOrC5uVntIZSV5vZo9bW1tSVqJxmfyW2kbMtxaT5Qjm35oImxk2PsiKie2HjM09omzdhJ5pSm1wo27ictrDHkbMwHLYxdOIwf0d54+ynLOY6DWCxW7WGUjeb2aPXlOA7a29tFt58KOj6T20jZmOOSfKAc2/JBE2Mnx9gRUT2x8ZinOe/XnCMHnVOaXivYuJ+0sMaQszEftDB24TB+RKXV7EqNTCaDsbExTE1NYWxsDNlsttpDMpLneVhZWbFmuZrm9mj15Xke1tbWRMuvg47P5DZSNua4JB8ox7Z80MTYyTF2RFRPbDzmac77NefIQeeUptcKNu4nLawx5GzMBy2MXTiMH1FpNbtSY3BwEDMzMwByJzjOnj2LycnJKo/KTNvb29UeQllpbo9WX67ritpJxmdyGynbclyaD5RjWz5oYuzkGDui2pfJZDA1NYVEIoFMJoOhoSFEo9FqD8tINh7ztLZJM3aSOaXptYKN+0kLaww5G/NBC2MXDuNHtLeaPKmRyWSKHicSCaRSqSqNxmyO41hVjGluj1ZfjuOgra1NdPupoOMzuY2UjTkuyQfKsS0fNDF2cowdkR140dT+2HjM05z3a86Rg84pTa8VbNxPWlhjyNmYD1oYu3AYP6LSavL2U6lUCvF4vOi5eDyOdDpdpRGZy/M8LC8vW7NcTXN7tPryPA+rq6ui5ddBx2dyGykbc1ySD5RjWz5oYuzkGDui2seLpvbPxmOe5rxfc44cdE5peq1g437SwhpDzsZ80MLYhcP4EZVWkys19vr9jIWFhR3PbWxsYGNjw3+8vLwMILf0slrLL13Xhed5Kv3n+3Fd14qrMjS3R6uvwnwI0o9kfCa3kbItx6X5QDk250Ol2RY7TdX4viAyJR+q3X+5lLpoKplMVmlURERERES0m5o8qbGX3U52XLhwAS+++OKO5+fm5rC+vq4wqp1c18XS0hI8z0MkorNYplrbWima21PpvlzXxdbWFubm5kT5IBmfyW2kbMnxsPlAOTblA78vaofG94V2PpC5TMmHlZWVqvVdTkEumgJ44VRrays8z7Pq6lGtbdLqx/M8tLS0BM4Jyfi02oRpF5RtOS7NB8qxLR/4fVE7NOJnyoUyZAYT8mG/fdfkSY1oNLqjwFhYWNj1XnPnz5/HCy+84D9eWlrC448/jubmZhw8eLDSQ92V67pYXV3FwYMHK16Eep6HpaUldHR0WHHlreb2aPW1vb2Nu3fv4ujRo2hoaKjo+ExuI2VbjkvzgXJsywd+X9QGrdhp5gOZz5R8uHfvHgBY+48Ve53s2OvCqWvXrqG1tbXCo9qd67pYXl7G8vJyRXPC8zysra2hpaXFmu8LrW3SjN329jZu3LiBpaWlfc8pJePTahOmXVA25rgkHyjHxnzg90Vt0IqfVj5QbTAhH1ZXVwE8vL6oyZMafX19GB8f3/F8b2/vjueam5vR3NzsP85fRfXEE09UboBERERERHVkZWUFHR0d1R6GWJCLpoCdF069++67+NCHPsRbVRERERERlcHD6ouaPKmRSCSKHmcyGfT29u5ZdBQ6ceIE3n77bbS1tVXtTPHy8jJOnjyJt99+G+3t7VUZA5mD+UCFmA9UiPlAhZgPVMiUfPA8DysrKzhx4kTVxlAOQS6aAnZeONXa2soag4zCfKBCzAcqxHygQswHKmRCPuy3vqjJkxoAMDk5iZGREZw6dQpXrlzB5OTkvtpFIhE89thjFR7d/rS3t/OAQT7mAxViPlAh5gMVYj5QIRPyoZZXaOSFuWgKYI1B5mI+UCHmAxViPlAh5gMVqnY+7Ke+qNmTGolEAqOjowCAgYGBKo+GiIiIiIhqmfSiKSIiIiIi0lWzJzWIiIiIiIjKhRdNERERERHVBv6sfRU0Nzfj137t14ruw0v1i/lAhZgPVIj5QIWYD1SI+UAPYk5QIeYDFWI+UCHmAxViPlChWsoHx/M8r9qDICIiIiIiIiIiIiIiehiu1CAiIiIiIiIiIiIioprAkxpERERERERERERERFQTeFKDiIiIiIiIiIiIiIhqQmO1B1Bv0uk0ACCZTCKTySCbzSKZTFZ5VKQlnU7j7NmzmJmZKXo+k8lgamoKiUQCmUwGQ0NDiEaj1RkkqdkrH3icqE/pdBqpVAoAcOXKFVy8eNE/DvAYUZ9K5QSPE/UnnwvZbBZXrlzB888/7+9zHiPqG48HxBqDCrHGoEKsMagQ6wsqVPP1hUeqhoaGPAAeAK+vr89bXFys9pBIyeTkpDczM+Pt9r9dMpn0/56dnfUGBgY0h0ZVUCofeJyoT6Ojo0V/Fx4XeIyoT6VygseJ+hONRr2ZmRnP8zxvfHzcSyQS/ms8RtQ3Hg/qG2sMKsQagx7EGoMKsb6gQrVeX/D2U8p6enqwuLiIxcVFTE9Pm3eWiypmYGBg17PcmUym6HEikfDPlpK99soHgMeJepROp3HhwgX/8cDAANLpNDKZDI8RdapUTgA8TtSjycnJou+NwqssC/EYUX94PKhvrDGoEGsMKsQagwqxvqAH1Xp9wZMaVRCNRnlwIF8qlUI8Hi96Lh6P+0v/qD7xOFFfkskkLl686D/OZrMAcscCHiPqU6mcyONxor709fX5f09OTmJ4eBgA5xGUw+MBPYjHBtoNjxX1hTUGFWJ9QQ+q9fqCv6mhLJvNYmpqCkDu/nXDw8NIJBJVHhVVU/6L5EELCwu6AyFj8DhRnwYGBvy/L126hL6+PkSjUR4j6theOQHwOFGv0uk0Ll26hP7+fgwNDQHgPIJ4PKDd8dhAD+Kxoj6xxqBCrC/oQbVcX/CkhrLCH1ZJJBLo7+/H7OxsdQdFRtrrIEL243GivuUnkw/+uONu76P6sFtO8DhRn5LJJBKJBEZGRjA1NVVUmD6Ix4j6weMBBcFjQ/3isaK+scagQqwvKK+W6wvefkpZ4X3J8r8g/+C9yqi+RKPRHWc7FxYWuOSvjvE4Ud9GRkaK7mHKYwQ9mBMAjxP1LBqNYnBwEIODg8hmszxGEI8HtCseG+hBPFbUN9YYVIj1BRWq1fqCJzUUpdNpnD59esfzD96njOpL4T3sCvX29iqPhEzA40R9Gxsbw8jICBKJBLLZLLLZLI8RdW63nOBxov6kUinEYjH/cf5WAJlMhseIOsfjAe2FxwYqxGNFfWONQYVYXxBgR33BkxqKEokERkdH/cepVAoDAwPGnemiyitcsvXgPQozmQx6e3uZF3XkwXzgcaI+TU1N+Us/s9ksLl++jGg0ymNEHSuVEzxO1Jd4PF5UXKTTaUSjUT8/CvEYUV94PKBCrDGoEGsMAlhjUDHWF5RnQ33heJ7nVXsQ9SSdTiOVSiEajWJ2drbooEF2S6VSmJ6extjYGM6dO4dTp07596rLZDIYHx/HqVOncOXKFZw/f964gwWVV6l84HGi/mQyGXR3dxc9F41Gsbi46L/OY0R9eVhO8DhRf6ampvxl4NPT0xgdHS26oorHiPrF40F9Y41BhVhjUCHWGFSI9QU9qNbrC57UICIiIiIiIiIiIiKimsDbTxERERERERERERERUU3gSQ0iIiIiIiIiIiIiIqoJPKlBREREREREREREREQ1gSc1iIiIiIiIiIiIiIioJvCkBhERERERERERERER1QSe1CAiIiIiIiIiIiIioprAkxpERFSXUqmUlX0REREREZE+1hdERHp4UoOIqMal02kMDg4iFoshFouhp6cHExMTFetveHgYPT09u77mOM6+J9ipVAqZTGbf/fb09GBqamrf7y9leHgY2Wy2LJ+1H+l0GmNjY2r9ERERERFJsb4IjvUFEZEuntQgIqphExMT6OnpQX9/P65du4Zr165hdHQU09PT1R7aQw0ODpatiAhiamoKmUwGAwMDan2eO3cOly5dQjqdVuuTiIiIiCgo1hfBsb4gItLXWO0BEBGRTCaTwfDwMKanp9HX1+c/39fXV/TYVIuLi2X9vImJCUxPT2NycrLk+0ZGRh76nkoYHh7GyMhITRSERERERFR/WF8UY31BRGQurtQgIqpRIyMjNVNgmCKdTmNhYQHJZFK97zNnziCVSqkuSyciIiIi2i/WF8GxviAiqg6e1CAiqlHpdBr9/f0Pfd/Y2Bi6u7v9++EW3md2cHAQY2Nj6O/v3/X1sLLZ7J6f/eA9bDOZDHp6etDd3Y3h4WH09/eju7u76B66mUzG/7z+/n5/Aj84OIjh4WFMTU35r+0mlUqht7d3x/P9/f2YmJgoGms2m8Xw8DBisRi6u7uLlnYHfT8ARKNRJJNJXL58WRRLIiIiIqJKYn3B+oKIqFbwpAYRUY3KZDKIRqMPfV8ikcDMzAwWFxfR19eHwcHBos+4dOkSxsfHce3aNcTj8aLX95JOp/0fDsz/5zjOjvedPn0a/f39WFxcxOjoaMnPHhwcxPnz5zE7OwsASCaTmJ2dLbpSbHx8HJOTk7h27RoymYz/g4WTk5MYHx/HwMAAFhcX91yCfeXKlV0LkoWFBYyOjvqfnc1m8dRTT2F4eBiLi4tIJpMYGRkRvz+vt7fX3z4iIiIiIpOwvmB9QURUK3hSg4ioRuUn5XnZbLaoCMhfZTQwMOAXJ8PDwzuu8BkeHkYikUA0GsXk5CTS6fRDr6ZKJpNYXFws+s/zvKL3pFIpZDIZnDt3DkDuXrzxeHzPz06n0/6P6/X39+/6o3d9fX2IRqOIRqPo6+sLPIEvVag9+NmJRMJfRt7f379j3EHfD+SupirnlWpEREREROXC+oL1BRFRreAPhRMR1aje3t6ipdPRaBSLi4t+8ZGXzWZx+fJlTE9PP3TCm59El+O+rJlMBtlsFt3d3UXP7/XZfX19mJqawsDAAKanp3e9L21PT0/oce2l8LOj0SgSiYT/OB6Ph34/EREREZHJWF+UF+sLIqLK4UoNIqIaNTo6inQ6XXTf2Aflly3n3z85OVnyM7PZLLLZbNEEWioej/tXexX+V+pH9MbHxxGLxfzl19UUtHDY7/tZkBARERGRiVhfVBbrCyKi8uFJDSKiGpVfzj04OIiJiQm/YLh69ar/nvyVU2fOnEEikSi68iovX4hks1kMDg76y57DGhgYQDab9e9LCwBTU1N7XkmVyWT8e+9evHgxcH/xeBzpdBrZbHbX7QRy9/+t5j1n93ufYiIiIiIibawvirG+ICIyF09qEBHVsIGBAczMzGB6ehpPPfUUnnrqKYyMjGB0dBTRaBTJZBJ9fX2IxWLo6enB7OzsjqukEokE+vv7/SuuHna1VRD5scViMXR3d2N6enrPSXc0GkV3d3fRfXtLXSX2oL6+PiwsLOCpp57C+Pj4ru85derUrvfS1ZJKpXb9IUEiIiIiIhOwvriP9QURkbkc78FfXiIiorrR09OD4eFhDA0NVXUcExMTmJycxPT0tP9cfoJezq+p/P2Aq/HVV82+iYiIiIg0sL7Qw/qCiOoZV2oQEZERFhYWdiwdL/dS6mg06v9goLaJiYmqF3dERERERPWC9QURkb0aqz0AIiKi/GS8p6cHCwsLAHLLvWdmZsre1/j4OPr7+zEwMFD2z95LNpvF+Ph4RbaHiIiIiIiKsb4gIrIbbz9FRER1Z2JiAjMzM3veG7fcBgcHMTw8jL6+PpX+iIiIiIhID+sLIiJdPKlBREREREREREREREQ1gb+pQURERERERERERERENYEnNYiIiIiIiIiIiIiIqCbwpAYREREREREREREREdUEntQgIiIiIiIiIiIiIqKawJMaRERERERERERERERUE3hSg4iIiIiIiIiIiIiIagJPahARERERERERERERUU3gSQ0iIiIiIiIiIiIiIqoJPKlBREREREREREREREQ1gSc1iIiIiIiIiIiIiIioJvCkBhERERERERERERER1QSe1CAiIiIiIiIiIiIioprAkxpERERERERERERERFQTeFKDiIiIiIiIiIiIiIhqAk9qEBEJjIyMIBaLVXsYgY2MjMBxHKRSqWoPZV/GxsbgOA5isRhisRgcx0F3dzdGRkaQzWarPbySqh3r/v5+jIyM7PlYy8TEBAYHBzE4OKjeNxEREVGtMrXeqPYcNyjWE3KsJ4jIZDypQURUI6amptDf37/ra2NjY+ju7kYsFsPw8PCenzExMYFEIoHJyclKDbPsotEoFhcXsbi4CM/zMD09jUwmg56enooVInvFenBwEI7jFP231z6pxViH1d/fD8dxip6bmZnB5OQkhoeHMTU1VaWREREREdFebJ/jsp6oHawniGi/eFKDiMhw+au0RkZGkMlkdrw+MTGB8fFxTE9PY2ZmBlevXt31Cpp0Oo14PI6RkRFcvnxZY+gVkZ/YLywslH07HhZrADh37hw8z/P/m56e3vEeW2IdxNTUFBYWFnY8v7CwgGw2i+npaSQSiSqMjIiIiIgepp7muKwnzMR6goiC4EkNIiLDjY6OYnFxcc+lviMjIxgfH0cikUAikcDFixcxNja2433j4+Po6+tDX18fstlszSwZ1/SwWANAZ2fnQz+nHmM9MjKC8+fP73h+dHQUIyMj6O/vRzKZrMLIiIiIiOhhOMctD9YTcqwniCgIntQgIqvkb8PkOA56enr8yd+D9/9Mp9NFy1oHBwcxMTGBiYkJdHd3++32et4UmUwG2WwWfX19/nP5id6DY718+TIGBwf9kx/j4+PifqsZ50wmg8HBQcTjcQwNDYm3oZLKGetSsRkZGdnXbccqbWxsDIlEYtciI7/9hTlKREREVKvqrd4oxHpCD+uJ+1hPENFuGqs9ACKichkeHsbVq1cxOTmJRCKBq1ev7vseqdlsFuPj48hmsxgdHfUnTHs9b4q9ljQnEomi11KpVNHJj4GBgV1Xc+yHdpyz2eyO+6qeO3cOFy9eFI0/rOnpaYyPj2NhYQFnzpzZUWCUM9bA3rEZHBz0l2HH43GcPXsW/f39uy5fr6RsNouRkRHMzs6q9ktERESkzeZ6Q3OOy3qC9cSD42M9QURB8aQGEVkhm81iYmICs7Oz/n02gxYEmUwG165dQzQa3dfzD7PfK116enoqfoXQg1e2PP/88xgbG8PU1BQGBgb2/TnViHP+h/2A3JVaPT09OH/+fNH7NGN99epVvPLKK0gkEjh9+jQGBweLfryvXLEu9GBs0uk0pqamsLi46D83OTmJWCyGVCq1r31SrpidPXsWQ0NDO06kEREREdnE9npDa47LeoL1xINYTxCRBE9qEJEVUqkUotFoqB8O6+vr27WQ2Ov5hwmzRLgc4vG4//fU1FTReJLJJKLRKMbHxwNNjKsd52Qyib6+Pv93RPK0Yj06Oop4PO6Pc3R0FP39/chms/5z5Yp1oQdjc/XqVSQSiR3x6u3txfT09L6KkHLELJVKIZVK4dq1a6E/i4iIiMhk1Z4H76Zcc2DNOW6148h6Iof1BBHVOv6mBhHRP9prYh1mwh1ET08PHMfx/9vPEuP82B5crp3JZIomxUDufqmxWMz/L/+Dc/td6l0uYeM8OjqKiYmJUFfxSGKdH2PhxD8/5vxYKhXrB2Ojvc+A3WM2PT2NbDaLWCwGx3HQ3d0NAHAcB4ODg+pjJCIiIjKZqfVGtea4UqwngmM9QUS24UoNIrJCMplENptFJpPZ12R2YWGh4mMKuhx3ZmYmcB/5SXEqlfKv2kmn0wDuL+POX9FTuKQ5/76enh5cvnx530uoTYhz4dVV+W3SiDWAHdudj3X+uXLGupT89hde0QXkrrjabyzKFbPR0VH/7/x2ep63r88mIiIiqhUmzIMfVK75nOYc14Q4sp5gPUFEtY8nNYjIColEAkNDQ/79SOPxOFKpFK5cuYLR0VEkEgl/wpjJZDAyMlLxMWkuYR4ZGUEymfR/4O3cuXMA4F/Rs9uPvSWTSSSTSYyPj/sT40wmg3Q6veeyZlPiPDo6ip6eHqTTaX8bKi2TyaCnpwcXL17EwMCAv31DQ0OIRqNlj3Up+ULs9OnT/n44e/YsEonEvj+v2rdHIyIiIqolpsyDC5VjPqc9xzUljqwnWE8QUW3j7aeIyBr5H1Tr7+9HLBbD+Pg4nn/+eQC5q0iuXr2KWCyG4eFhDA8Ph17mnc1mi5bP5v8r91LeiYkJOI6D4eFhZDKZomW5ADA0NITh4WH09/ejp6cHfX19/tUuly9fRiKR2POeqMPDw0in0/6YU6kUzp49W3I82nHeTeHVVeVUKtaJRAKTk5O4cOECHMdBf38/hoeH/cl8JWJdSv5etz09PXjqqacQj8fFV4wRERER0cPZWG9UY47LeoL1BBFRWI7HNV1ERPSPstksBgcHd706iMqLsSYiIiIi23COq4exJqJ6xpUaRETkS6VS/EE2JYw1EREREdmGc1w9jDUR1TOu1CAiIiIiIiIiIiIioprAlRpERERERERERERERFQTeFKDiIiIiIiIiIiIiIhqAk9qEBERERERERERERFRTeBJDSIiIiIiIiIiIiIiqgmN1R6ANtd1cf36dbS1tcFxnGoPh4iIiIioZnmeh5WVFZw4cQKRSP1eL8Uag4iIiIgovP3WF3V3UuP69es4efJktYdBRERERGSNt99+G4899li1hwEASKVSAIBsNosrV67g+eefRzKZBACk02kAQDKZRCaTQTab9V/LZDKYmppCIpFAJpPB0NAQotHovvpkjUFEREREVD4Pqy/q7qRGW1sbgFxg2tvbqzIG13UxNzeHrq6uur6ijXKYD1SI+UCFmA9UiPlAhUzJh+XlZZw8edKfY5tgcHAQr7zyCvr6+rCwsIDBwUHMzs4CAMbHxzExMQEA6Ovrw+TkZFG7mZkZALkTHGfPni16vRTWGGQa5gMVYj5QIeYDFWI+UCET8mG/9UXdndTILwdvb2+vasGxvr6O9vb2iieI53m4d+8eDhw4YMVSeM3t0epre3sby8vLaGtrQ0NDQ0XHZ3IbKdtyXJoPlGNbPvD7ojZoxU4zH8h8puWDSceNyclJf/UFgKLVFj09PVhcXNzxfCaTKfqMRCLhr/jYj3qqMWz8vtDaJs3YSeaUptcKNu4nLawx5GzMB35f1AbWGFQNJuXDw/Ke2VoHlpaWqj2EstLcHq2+VldXRe0k4zO5jZRtOS7NB8qxLR80MXZyjB2ROfr6+vy/JycnMTw8XPR6NBrdcVupVCqFeDxe9Fw8HvdvV0XFbDzmaW2TZuwkc0rTawUb95MW1hhyNuaDFsYuHMaPaG91t1Kj3jiOg6NHj1Z7GGWjuT1afTmOg3g8HvjMu2R8JreRsjHHJflAObblgybGTo6xIzJPOp3GpUuX0N/fj6GhIf/5bDaLqakpAMCVK1cwPDyMRCKBbDa76+csLCzs+vzGxgY2Njb8x8vLywByV7e5rlumrQjGdV14nqfS/5EjR+B5HjzPq3hfWrS2Sasfz/MQi8UC54RkfFptwrQLyrYcl+YD5diWD/y+qB0a8dPMBzKfCfmw3755UsNynudhfX0dBw8etOIfSTW3R6svz/OwsbER+EtKMj6T20jZmOOSfKAc2/JBE2Mnx9gRmSeZTCKRSGBkZARTU1MYGBgAgKIf/04kEujv7/d/b2M3e53suHDhAl588cUdz8/NzWF9fT30+CVc18XS0hI8z+PtRAKy8bZG29vbuH37NlzX5e2nArIxxyX5QDk25gO/L2qD5u2nNPKBaoMJ+bCysrKv9/GkRh1YW1vDwYMHqz2MstHcHq2+7ty5I2onGZ/JbaRsy3FpPlCObfmgibGTK0fstre3sbm5uefrrutic3MT6+vrLDhILR+amppq9h/AotEoBgcH0d/fj8XFRUSjUWQyGf/3NhKJBDKZDDKZDKLR6I5VGQsLCztuU5V3/vx5vPDCC/7j/A8adnV1VfU3NRzHqfgPO3qeh/n5eXR2dlrzj1Ra26QZu/xvKBw9ejTQSY2g49NqE6ZdUDbmuCQfKMfGfOD3RW0oR/weVl8AuXzY2toy4jcUqPo08uFh9cV+62qe1LCc4zg4cuRItYdRNprbo9WX4ziIxWKi208FHZ/JbaRszHFJPlCObfmgibGTCxs7z/Nw48aNPa8IL3yf67pYWVnhMYJU8yEajeL48eM1kXepVAqDg4P+j4EnEgkA938I/PTp0/5refF4HH19fRgfH9/xeb29vbv209zcjObm5h3PRyKRqv6DgOM4KmOw8ZZ7WtukGbtYLIaGhoZA+SAZn1abMO1M7UeTJB8ox8Z84PdFbZDGb7/1Rf69rutidXW1JuZ6VFla+VCqvtjvcYknNSzneR7u3r2LQ4cOWXFw0twerb7y/UhuPxV0fCa3kbI1x3n7KRnb8kETYycXNnb5guPo0aM4fPjwnp/heR62trbQ2NjIfUQq+eB5Hu7cuYNbt24BAB555JGK9FNO+RMUeel0GtFoFMlkEtlsFqOjo/5rqVQKAwMDu/5weCaTQW9v754rNeqZjd8X2vN+zTlykDml6bWCjftJC2sMORvzQQtjF06Y+O23vsj3wxqD8iqdD+WsL3hSow7kD4K20Nwerb7u3bsnaicZn8ltpGzLcWk+UI5t+aCJsZOTxm57e9svODo7O0u+lwUHFdLKh3xe37p1qyZuW5JMJvH8889jYmICADA9PY2ZmRkAuSvCent7MTY2hmg0itnZWUxOTvptJycnMTIyglOnTuHKlStFr1ExG78vtLZJM3aSOaXptYKN+0kLaww5G/NBC2MXjiR+QeoLgDUGFdPIh3LVF45XZ6fql5eX0dHRgaWlpare7za/47j0k5gPVIj5QIWYD/ZbX1/HtWvX8OSTTz60YGHBQYU08+Hu3bt444038NRTT+24x60Jc2sTmBAHfmdQIeYDFWI+UCHmg92C1BcAawwqppUP5agvePSynOd5WF1dtWaZqeb2aPWVX3oluf1U0PGZ3EbKxhyX5APl2JYPmhg7uXLEjgUElVM6nS7r5zE/qZCN3xea837NOXLQOaXptYKN+0kLaww5G/NBC2MXTtj4cf5G5VbOGqMc+cmTGnVgc3Oz2kMoK83t0epra2tL1E4yPpPbSNmW49J8oBzb8kETYydXT7EbHBxELBZDT08Penp60N3djeHh4WoPq2x2276RkZF9tY3FYv4PUldTT0/PvooOU8ZLtcfGY57WNmnGTjKnNL1WsHE/aWGNIWdjPmhh7MKpp/ixxtibKXN202oMntSwnOM4iMVi1pyh1dwerb4cx0F7e3vgfiTjM7mNlI05LskHyrEtHzQxdnL1GLuhoSHMzMxgZmYGs7OziEaj6O7urvaw9jQ2NhaoeHhw+zKZTE0VVZ7nIZlMVnsYZCkbj3ma837NOXLQOaXptYKN+0kLaww5G/NBC2MXTj3GjzWG2UyrMXhSw3Ke52FlZcWa5X6a26PVl+d5WFtbEy2/Djo+k9tI2ZjjknygHNvyQRNjJ8fYAaOjo0gkEvu+2kjT8PAw5ufn/eJhdHQ08GeMjo7i8uXLFRgdUe2x8ZinOe/XnCMHnVOaXivYuJ+0sMaQszEftDB24TB+rDGoNJ7UqAPb29vVHkJZaW6PVl+u64raScZnchsp23Jcmg+UY1s+aGLs5MoVuzubd/C9he/t+d/ri6+XfD3sf3c274jHPjIygomJCf9xJpPZ9cqlVCqF7u5u9PT0YHh4GP39/f7r+SXNg4ODGBsbK/k5ez1fKJPJ4PLly+js7PTfK7kXbDabLfrM/v5+dHd3o7+/v+i1vOHhYX/8+faxWAwA0N3djYmJCfT39yMWi2Fqampfn/1gu4mJCbz00kvo7e1FLBZDKpXy31u45HtkZATd3d2BlrgTPYyN3xda26QZO8mc0vRawcb9pIU1hpyN+aCFsQuHNQZrjEKsMYo1VqVXUuM4DqLRaLWHUTaa26PVl+M4aGtrEy2/Djo+k9tI2ZjjknygHNvyQRNjJ1fO2L218hZ+7eu/tufrnudV9Pjw4sdfxAfiHxC17e3tRTabRTabRTQaRU9PD1555RUkk0kMDg4ilUqhr68Pg4ODuHbtGgDgqaeewrVr1/z4ZbNZDA4OYnR0FAMDAwCw5+fs9XyhdDqNbDaLRCKBmZkZTExMYHBwELOzs/vernwBdP78+R3jSaVS6Onp2fF5w8PDGBwcxLlz5wAAly9fxpkzZwAACwsLmJ6exvT0NKampjAyMrLrtj742Q+2GxwcxK//+q/j6tWr+M3f/E2Mj4/v2H4AOHXqlH/lWCwWQ39//67vI9ovG78vNOf9mnPkoHNK02sFG/eTFtYYcjbmgxbGLhzWGDmsMe5jjVGMKzUs53kelpeXrVmuprk9Wn15nofV1VXR8uug4zO5jZSNOS7JB8qxLR80MXZyjN1OU1NT6O3t9e+5ev78eUxOTiKbzSIejyMajSIajaK3t3fHj8gNDw/7E/C9Pmev5x+0sLCAaDTqf97Q0BAWFhYe+sN1ExMT/o/4jYyMYHR0FOfOncPExAT6+vr8fvv6+hCNRouuYALgv56/Ymt8fLzofrnPP/+83z4/lv18dmE7APilX/olv7+9rg7LbzsAnDlzRnQVGVEhG495mvN+zTly0Dml6bWCjftJC2sMORvzQQtjFw7jtxNrDNYYhaq+UiMfxGw2iytXruD555/fsZOSySQymQyy2az/WiaTwdTUFBKJBDKZDIaGhngGmIiIiKhK8hPnaDSKTCbjL93Oy0+gAfhXWmUyGSQSiaLPKbzCZ6/P2ev5B8Xj8R2fH4/Hd+230NDQ0K73xZ2dnd3RLj8XfdDw8DDGx8cxOjpaNIfNt5F8dv71fBzzj+Px+J7bks1mMTExgdnZWaRSKc6XiYiIiKhmsMYoxhrjvqqf1BgcHMQrr7yCvr4+LCwsFC3XGR8f9++b1tfXV3R2bHBwEDMzMwByyXj27Nldz57VO8dx0N7eXu1hlI3m9mj15TgOWltbRbefCjo+k9tI2ZjjknygHNvyQRNjJ1fO2D3e9jhe/PiLu77meR62t7fR0NBQsWPE422Pi9teuHABQ0NDAHIT4r6+PoyPj+94XzQaxenTp5HNZjE6OrpjAlz4eK/PyV9xtNvnF8pfGFNoYWGhZLFRSnd3N6anp4ue26t4GRoaQk9PDy5fvlx0JROAXSf9+/nsoMVC/v65o6OjGBoa4m9qUFnY+H2hOe/XnCMHnVOaXivYuJ+0sMaQszEftDB24bDGyGGNUYw1xn1VP6kxOTlZdFapMJA9PT1YXFzc8fyDiZNIJHYsyTHdna07uLF2AyfaTlS0H8/zsLS0hI6ODismMJrbo9WX53lYWVlBV1dX4HZBx2dyGykbc1ySD5RjWz5oYuzkyhm7w02H97zfrOd52NraQmNjo3H7aGxsDOl02r/g5MyZMxgdHUU6nUYymUQ2m8XVq1fR19eHeDy+Y2K9l70+p9TnF0okEujt7cXExASGhoYwMTGBRCIhLjjOnDmDkZERv9+pqSlks9ldr+CKRqNIJpMYHx/f14U3QT57vzKZTNHS+N1iRPbYdrcxtz6H1s1WtDa3VqwfG78vNOf9mnPkoHNK02sFG/eTFtYYcjbmgxbGLhzWGKwxWGOUVvXf1Cjc6MnJyaJ7gQHw74dWKJVK7VgCE4/Ha+IewX/0vT/C0PQQ/o8r/wd+8+pvqvTZ0NCg0o8Wze3R6isSkf2vKBmfyW2kbMtxaT5Qjm35oImxk6u32BXeD7a7uxuzs7OYmZnx52zRaBSTk5M4e/Ysuru7cfr0ab9tJpOB4zhwHAexWKzklT17fU6pz3/Q5OQkJicn0d3djcnJSbzyyivi7Y5Go3jllVdw9uxZxGIxjI+Plyye8vPa/RQ4QT97P/Lz7FgshsHBQSQSCXR2dob6TDLP7bu38b999X/Dv/ryv8KvffPX8NrcaxXv08ZjntY2acZOMqc0vVawcT9pYY0hZ2M+aGHswqm3+LHGYI0RhOMZ8Isz6XQaly5dQmdnp/8L7kDujFx+B125cgXDw8NIJBIYGxvzf5k9r7u7e9dfZN/Y2MDGxob/eHl5GSdPnsTi4mJVlsH94ff+EF+a/RK2trZwsOkg/vPP/WdEHE4u6pnrupibm0NXVxcnmsR8oCLMB/utr6/jjTfewFNPPYWDBw8+9P2bm5toampSGFlljI2NYXZ21l/Snb9K6Fd/9Vd3LJ+2wdTUFDKZTNH8tpy08mF9fR3Xrl3Dk08+uSNPl5eXEYvFsLS0VNe3mFheXkZHR0dV4nBv+x7+l//6vwAesLm1if/xQ/8jBt5v3/9PFIzrurh16xaOHj3KOQQxH6gI88Fu+XnbfusLk1dq7NduNcbp06dx/vx51hgBaeVDqTzd77y66refAnL3IkskEhgZGcHU1FTRr8cX/khJf3+//3sbu8lmszueu3DhAl58ced94+bm5rC+vl6W8QdxaOsQtja3sL29jXVvHd97+3s4cvBIxfrLLzNta2ur2YNTIc3t0epre3sb169fh+u6gc7CS8Znchsp23Jcmg+UY1s+uK6LpaUleJ5X8YLDtthpChO7zc1NuK6Lra0tbG1tPbSf7e1tAKjZfeS6rj9RBoDW1lbEYjFsb28/dPtr0fj4OP7wD/+wItummQ9bW1twXRfz8/M7TqKsrKxUtG96uAMNB9B5sBPzd+cBAO+tvVfR/jzP83+Is1aPRQ/S2ibN2Hmeh+Xl5cC3nwo6Pq02YdoFZWuOB80HyrExH7QwduEwfnLRaLTkj1zXuv3eesp2RpzUAHIJNzg4iP7+fiwuLvq/Vp//vY38L7Pn79u1sLBQ1H5hYWHXHzY5f/48XnjhBf9xfqVGV1dXVa4me3/j+9H4ZiPgAI2Njdg8tImjXUcr1p/neWhpaUFLS4sVB0HN7dHqa3t7G+vr6zh69GjgkxpBx2dyGynbclyaD5RjWz64rgvHcVRWatgWO01hYre+vo6VlRU0NjaisXF/07JaXqnxq7/6qxgZGcEHPvABRKNRZLNZDA0N4fnnn6/20MpqYmICExMTOHPmDI4cqdzFK4BOPjQ2NiISiaCzs3PHlVT7uQKQKu+Rlkf8kxo37tyoeH+1fBzai9Y2acZuv98rhSTj02oTpp2p/WiS5APl2JgPWhi7cBi//Tl37hxGRkbQ3d3t1xjDw8PWrdKYmJjA+Pg4nn/++cA/7m2jqn6rpVIpDA4O+j8Gnr/VVP6HwE+fPu2/lhePx/f8Jfre3t4dzzU3N6O5uXnH85FIpCrL7B5tfRQOcv/g4cDBzbs3Kz4O224FoLk9Wn21tLSgoaEhcC5IxmdyGynbclyaD5RjWz44jqP2nWVb7DRJYxeJRPx7vz7shIjnef57avnE09jYGMbGxqo9jIoaHh7e8Ttx5aaZD/n83O1YxO8qMzzS+gj+/vbfAwBurFX2pIbjOGhtrdwPkVeD1jZpxs5xHBw+fDjQ8UEyPq02YdqZ2o8mST5Qjo35oIWxC4fxC2Z0dBSjo6PVHkZFDQ0NYWhoqNrDMEZVq5D8CYq8dDrt/4p7IpEoSsZUKoWBgQFEo9EdP4SSyWTQ29tbE2epOpo7cLDx/hVtN1YrW3R4nof5+XkY8NMpZaG5PVp9eZ7n314maLug4zO5jZSNOS7JB8qxLR80MXZyjB0RVdvxluP+36v3VrF6b7Vifdl4zNOc92vOkYPOKU2vFWzcT1pYY8jZmA9aGLtwGD+i0qq6UiOZTOL555/HxMQEAGB6ehozMzMAcrej6u3txdjYGKLRKGZnZ4vuFzY5OYmRkRGcOnUKV65cqZl7iTmOg+Mtx7Gynrv/cKXveQsAhw4dqngfmjS3R6uvAwcOiNpJxmdyGynbclyaD5RjWz5oYuzkGDsiqqbjh48XPb6xdgNPH3i6Yv3ZeMzT2ibN2EnmlKbXCjbuJy2sMeRszActjF04jB/R3qp+U8XC+5s9uIQmmUz6v6nxoMKVHLV2j7RHWh7BD+Z/AEBnefjhw4cr2ocmze3R6stxHBw6dCjwUmDJ+ExuI2VjjkvygXJsywdNjJ0cY0dE1fZI6yNFj99bew9PxypzUsPGY57mvF9zjhx0Tml6rWDjftLCGkPOxnzQwtiFw/gRlcab4FZB4ZVUt+7cwpa7VbG+PM/D7du3rVmuprk9Wn15nofFxUXR8uug4zO5jZSNOS7JB8qxLR80MXZyjB0RVdvRw0eL/rGykj8WbuMxT3PerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhKq/pKjXpUeM9bFy7m7sztuLqqnFpaWir22dWguT1afUnPvkvGZ3IbKdtynFdjhGNbPmhi7OSqGTvP8/CNb3wDV69excrKCtra2tDb24vnnnuOV2QS1YmmSBOOHDqC65vXAQDvrVb2Frc2fl9obZNm7CRzStNrBRv3kxbWGHI25oMWxi4c1hhEe+NJjSooPKkB5K6kqtRJjfwyU1tobo9WX47joLm5WXT7qaDjM7mNlI05LskHyrEtHzQxdnLVit3W1hZ+7/d+D7/927+N1157bcfrH/nIR/D5z38ev/zLv4zGxspM+dLpNHp6ejA+Pr7jNqLVMDg4iFQqhUQiAQDIZrPo6+vD+Ph4lUdGVHnHW47j+nLupEYlb3Fr4/eF5rxfc44cdE5peq1g437SwhpDzsZ80MLYhcMagzUGlcbbT1XBgyc1rq9er1hfnufh1q1b1ixX09werb48z8PCwoJo+XXQ8ZncRsrGHJfkA+XYlg+aGDu5asRubW0Nn/nMZ3D27Fm89tpraHYcfKK1Fb/U0YFPtLai2XHw2muv4ezZs/jMZz6DtbW1iozj0qVL6Ovrw+TkZEU+X2JoaAgzMzOYmZnB7OwsotEouru7991+ZGQEExMTFRwhUWU80nL/Iqn31t6r2DHJxu8LzXm/5hw56JzS9FrBxv2khTWGnI35oIWxC4c1BmsMKo0rNaqgrakNLY0tuId7ACr/Y+EdHR0V/Xxtmtuj1Vdra6uonWR8JreRsi3HpflAObblgybGTk4zdltbWzhz5gxefvllHHQcfP7IEXy2I4poQ4P/nuz2Nv54KYsv3L6Nl19+GWfOnMGXvvSlsl9NNTExgZmZGXR3dyObzSIajZb188thdHQU6XQaIyMjGB0drfZwiCqm8Hf77mzdwfK9ZXQ0V+bYZOP3hdY2acZOMqc0vVawcT9pYY0hZ2M+aGHswmGNwRqD9saVGlXgOA66Dnb5j99bq9w9b21bZqq5PVp9OY6DAwcOiG4/JVlSbmobKRtzXJIPlGNbPmhi7OS0Y/d7v/d7frHx0mMn8SvxzqJiAwCiDQ34lXgnXnrsJJodBy+//DJ+//d/v6zjSKVS6O3tRSKRQDKZ3HHlUXd3NyYmJtDf349YLIapqSkAueXa/f396O7uRnd3N8bGxjA8PIyxsTG/bTabRSwW2/W9Eg9eGTUyMuJ/5sjIiP/88PAwJiYmMDIygp6eHqRSqZLvJzJJ4UoNoHIXTtn4faE579ecIwedU5peK9i4n7SwxpCzMR+0MHbhsMZgjUGl8aRGlRw9eNT/++bazYr147oubt68Cdd1K9aHJs3t0erLdV3Mz88H7kcyPpPbSNmY45J8oBzb8kETYyenGTvP8/Af/+N/BAB8/sgRJB/yo589hw/j3x05AgD4whe+UNbl6+Pj4xgeHgaQm6g/eE/ZhYUFTE9PY3p6GhcvXvQn6pcvX0YymcTs7CxmZ2cxMDCwo/3ly5dx5syZXd8r0dvbi2w2i2w2CwA4deqU/5kTExN+YTE+Po4zZ85gdHQUMzMz6OvrK/l+IpPs+N2+Cp3UsPH7QnPerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJhjcEag0rjSY0qKVypcfvubWxub1akH8dxEIvFrDkzrrk9Wn05joP29nbRlUpBx2dyGykbc1ySD5RjWz5oYuzkNGP36quv+ve3/WxHdF9tPtsR9e9/++qrr5ZtLKlUyi8Azpw5g0wmg0wmU/Se559/HgDQ19dX9NrU1JQ/ac9fhQXkfhQQKC5mHnxvORQWLmfOnPH7Ldf7iaqh61AXGpz7V1RWajW4jd8XmvN+zTly0Dml6bWCjftJC2sMORvzQQtjFw5rDNYYVBpPalRJ4UoNFy5u3qnMag3blplqbo9WX47joKmpSTSplywpN7WNlI05LskHyrEtHzQxdnKasZuZmQEAfLylZcdy8L1EGxrw8ZYWAMCVK1fKMo6pqSlks1n09PSgp6cHp0+fBoAdV1LtViAMDQ2hr6/PXzKeLybyV1Llr3ZKJpN7vjeofLGTvx9vNpv1l6SnUinMz8+XbB/0/UTV0BBpQGdzp/+4krefsu37QnPerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJhjcEag0rjSY0qOXroaNHjSi4Pv3HjhjXL/TS3R6sv13Vx+/Zt0fLroOMzuY2UjTkuyQfKsS0fNDF2cpqxW1lZAQDE9lls5EUjDUXtwxofH8f09DRmZmb8/yYnJ3fc83avH/UbHx+H53kYHR31r5YaGhpCKpXC5cuXi65a2u29QV24cAFDQ0MAcsVHT08PEokERkdH/eXfewn6fqJqKlwNfn3tekX6sPH7QnPerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJhjcEag0rjSY0qKSw4gMouD+/s7LTmzLjm9mj15TgOotGo6EqloOMzuY2UjTkuyQfKsS0fNDF2cpqxa2trAwAsbm8Hapd1t4vah5HNZnH16tUdE++BgQFks9mHXumUTqf9q5oKPyMajSKZTBYtC9/rvUGMjY0hnU5jdHQUQK6AiEajGBgYQDQaxdWrV4veH41GMTs762/rw95PZJJjh475f99cu1nWe1zn2fh9oTnv15wjB51Tml4r2LiftLDGkLMxH7QwduGwxshhjUF74UmNKjnceBjtB9r9x5VcHm7TMlPN7dHqy3EcNDY2iib1kiXlpraRsjHHJflAObblgybGTk4zdj09PQCAr6+tIbvPoiO7vY2vr60ByP0YXVgTExM4c+bMrq8NDAzsWB7+oEwmg8HBQcRiMfT39xe9P19o5JeUl3pvqfHll6x3d3djdnYWMzMz/hVd+cIlFothcHAQiUQCnZ33b9nz/PPPY2xsDD09PUilUg99P5FJCi+cWt9eR3YjW/Y+bPy+0Jz3a86Rg84pTa8VbNxPWlhjyNmYD1oYu3BYY9zHGoN201jtAdSz4y3HsZxdBlD55eHHjx9HJFL757A0t0erL9d1MTc3hyNHjgTqRzI+k9tI2ZjjknygHNvyQRNjJ6cZu2effRYf+chH8Nprr+GPl7L4lfjDJ75/vJTFhufhox/9KJ599tnQYzh37tyer01OTvp/Ly4u+n9Ho1H/ivGBgYGipd+Fstms/8N/D3vvw/ovJX/f4N0kk8kdV7eXej+RSY4dPFb0+PradcQOxsrah43fF5rzfs05ctA5pem1go37SQtrDDkb80ELYxcOa4z7WGPQbnhUqaITrSf8v6+vVuakRiQSwbFjx6z5AtHcHq2+IpEI4vF44H4k4zO5jZSNOS7JB8qxLR80MXZymrFzHAf/9t/+WwDAF27fRvrOnZLvn7lzB1+4fRsA8PnPf974K+XGx8f9+9ISUXCFt58CKlNj2Ph9oTnv15wjB51Tml4r2LiftLDGkLMxH7QwduGwxigf1hh24pGligpPamQ3sljbXKtIP6YfXILS3B6tvqT9SNqZ3EaKOU6FGD85xk5OM3a//Mu/jJ//+Z/HhufhV955G7+7ML9jmXh2exu/Oz+P/887b2PD8/ALv/AL+Ff/6l+pjTGo/HLu/v7+PX/4j4geLnogiubGZv9xpS6csvH7wvR5v1ZfJrcJ087UfjTZuE1aGDs5xi4c1hjhsMawG09qVNGjLY8WPa5E0ZFfrua6btk/uxo0t0erL9d1MT8/H7gfyfhMbiNlY45L8oFybMsHTYydnHbsGhsbcfnyZb/o+K25OXxi9of4/Lvv4P/73nv4/Lvv4Gdmf4jfuj3nFxuXLl1CY6O5dx0dGhrCzMxMyWXnRPRwjuPgRMv9C6feXX237H3Y+H2hOe/XnCMHnVOaXivYuJ+0sMaQszEftDB24bDGCI81ht14UqOKCldqAJVbHm7T/Qs1t0err0gkgs7OTtHy66DjM7mNlI05LskHyrEtHzQxdnLViF1LSwu+9KUv4aWXXsJHPvIRbHgevrq6iv9neQlfXV3FPc/DRz7yEbz00kv44he/iJaWFrWxEVF1VfoWtzZ+X2jO+zXnyEHnlKbXCjbuJy2sMeRszActjF04rDGISjP3dFod6DrUhcZII7bcLQCVuZIKwI4foql1mtuj1Ze0H0k7k9tIMcepEOMnx9jJVSN2jY2N+JVf+RX8m3/zb/Dqq6/iypUrWFlZQVtbG06dOoVnn32WS/6J6lDhSo3bd29jY3sDzQ3NJVoEZ+P3henzfq2+TG4Tpp2p/WiycZu0MHZyjF04rDGI9saTGlXUEGnA8cPH8c7qOwAqd/upmzdvWnN2XHN7tPpyXRcLCwuBfwBKMj6T20jZmOOSfKAc2/JBE2MnV47YhSlYHMfBc889h+eee078GUSl8B8kasujrfdvcevBw3ur7+HJjifL9vk2fl9ozvs158hB55Sm1wo27ictrDHkbMwHLYxdOGHjF3b+xhqDKqkc9QWPKlVWWHRcX6vM8vATJ05Y8wWiuT1afUUiEXR1dYmWXwcdn8ltpGzMcUk+UI5t+aCJsZMLE7umpiYAwJ07d8o9LKKyyednPl/JbJW+xa2N3xea837NOXLQOaXptYKN+0kLaww5G/NBC2MXjjR+rC+oFpSjvuBKjSorLDpurN3AlruFxkj5dovnedja2kJjY6MVy8M0t0err3w/Qc9SSsZnchspW3OcV8XK2JYPmhg7uTCxa2hoQDQaxa1btwAAhw8f3vMzuI+okEY+eJ6HO3fu4NatW4hGo2hoaKhIP1Rexw8fRwQRuMj9sOi7a+W9xa2NxyLteb/mHDnInNL0WsHG/aSFNYacjfmghbELRxq/IPVFmH7ITpXOh3LWFzypUWWFJzW2vW3cunNrx9VVYXieh/n5eRw9etSKg5Pm9mj15Xkestksjh8/Hrhd0PGZ3EbKxhyX5APl2JYPmhg7ubCxy///ni88SvXjui4ikQj3EanmQzQa5fdSDWlqaELX4S7cvHMTQPlXatj4faE579ecIwedU5peK9i4n7SwxpCzMR+0MHbhhInffuuLfD+sMShPKx/KUV/wpEaVFd5+Csj9WHg5T2pEIhGrJi6a26PVVyQSwZEjR0TLr4OOz+Q2UjbmuCQfKMe2fNDE2MmFjZ3jOHjkkUdw9OhRbG5u7vk+13UxPz+Pzs5OHiNILR+ampq4QqMGPdr6qH9S493V8q7UsPH7QnPerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MIJE7/91hcAawwqppEP5aoveFKjyip9z1vP87C5uYmmpiYrzrhqbo9WX/l+JLefCjo+k9tI2ZrjXBouY1s+aGLs5MoVu4aGhpKTO9d10dTUhIMHD7LgIOYDlXSi9QTSt9IAgPdW34PruYg45ckTG78vtOf9mnPkoLefMrlWsHE/aWGNIWdjPmhh7MIpR/weVl8AnFNSsVrKB7NHVwcONR5C/GDcf1yJkxqLi4vWTF40t0erL8/zsLy8LDqpEXR8JreRsjHHJflAObblgybGTo6xIyLTFF44dc+9h/m782X7bBuPeZrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUGldqGODR1kexsL4AoDLLw48dO1bWz6wmze3R6isSiYiWdUnGZ3IbKRtznMs+5WzLB02MnRxjR0Sm2e0Wt12Hu8ry2TYe8zTn/Zpz5KBzStNrBRv3kxbWGHI25oMWxi4cxo+oNH6jGaDwSqrra9fLehbW8zxsbGxYc2ZXc3u0+vI8D/fu3RNdqRR0fCa3kbIxxyX5QDm25YMmxk6OsSMi01TyFrc2HvM05/2ac+Sgc0rTawUb95MW1hhyNuaDFsYuHMaPqDSe1DBAYdGxtrmG5XvLZf38paWlsn5etWluj1Zfq6uronaS8ZncRsq2HJfmA+XYlg+aGDs5xo6ITNJ+oB1tTW3+4+tr5b3FrY3HPK1t0oydZE5peq1g437SwhpDzsZ80MLYhcP4Ee2NJzUM8GhL8fLwd1bfKdtnO46Do0ePWvOjTJrbo9WX4ziIx+OB+5GMz+Q2UjbmuCQfKMe2fNDE2MkxdkRkosILp95ZYX1Riua8X3OOHHROaXqtYON+0sIaQ87GfNDC2IXD+BGVxpMaBnhweXg5iw7P83D37l1rlqtpbo9WX2GWXwcdn8ltpGzMcS4xlbMtHzQxdnKMHRGZqLDGKOfv9tl4zNOc92vOkSW3hTK5VrBxP2lhjSFnYz5oYezCYfyISuNJDQPED8ZxuPGw//jtlbfL+vlra2tl/bxq09werb7u3LkjaicZn8ltpGzLcWk+UI5t+aCJsZNj7IjINCfbTvp/L99bxtJG+W5hYeMxT2ubNGMnmVOaXivYuJ+0sMaQszEftDB24TB+RHvjSQ0DOI6Dx9oe8x+Xe3n4kSNHrFmuprk9Wn05joNYLCZafh10fCa3kbIxxyX5QDm25YMmxk6OsSMiExXWF0D5bnFr4zFPc96vOUcOOqc0vVawcT9pYY0hZ2M+aGHswmH8iErjSQ1DFF5J9c7KO2VbXuZ5Hu7cuWPNcjXN7dHqK8zy66DjM7mNlI05ziWmcrblgybGTo6xIyITPdZafFKjXKvBbTzmac77NefIkttCmVwr2LiftLDGkLMxH7QwduEwfkSl8aSGIQqLjpXNFSzfWy7bZ9+9e7dsn2UCze3R6uvevXuidpLxmdxGyrYcl+YD5diWD5oYOznGjohM8+Atbsu5GtzGY57WNmnGTjKnNL1WsHE/aWGNIWdjPmhh7MJh/Ij2xpMahihcqQGU70oqx3HQ2dlpzXI1ze3R6stxHHR0dIiWXwcdn8ltpGzMcUk+UI5t+aCJsZNj7IjIRJW6xa2NxzzNeb/mHDnonNL0WsHG/aSFNYacjfmghbELh/EjKo0nNQyx4563ZSo6PM/D6uqqNcvVNLdHq68wy6+Djs/kNlI25jiXmMrZlg+aGDs5xo6ITFWJW9zaeMzTnPdrzpElt4UyuVawcT9pYY0hZ2M+aGHswmH8iErjSQ1DRJujaG1q9R+Xa6UGAGxubpbts0yguT1afW1tbYnaScZnchsp23Jcmg+UY1s+aGLs5Bg7IjJRpW5xa+MxT2ubNGMnmVOaXivYuJ+0sMaQszEftDB24TB+RHvjSQ1D7Fgevlq+5eGxWMya5Wqa26PVl+M4aG9vFy2/Djo+k9tI2ZjjknygHNvyQRNjJ8fYEZGpKnGLWxuPeZrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUGk9qGKTwSqpyLg9fWVmxZrma5vZo9eV5HtbW1kTLr4OOz+Q2UjbmuCQfKMe2fNDE2MkxdkRkqkrc4tbGY57mvF9zjhx0Tml6rWDjftLCGkPOxnzQwtiFw/gRlcaTGgYpvJJqdXMV2Y1sWT53e3u7LJ9jCs3t0erLdV1RO8n4TG4jZVuOS/OBcmzLB02MnRxjR0QmqtQtbm085mltk2bsJHNK02sFG/eTFtYYcjbmgxbGLhzGj2hvPKlhkEpcSeU4DqLRqDXL1TS3R6svx3HQ1tYmWn4ddHwmt5GyMccl+UA5tuWDJsZOjrEjIlNV4ha3Nh7zNOf9mnPkoHNK02sFG/eTFtYYcjbmgxbGLhzGj6g0ntQwyIP3vH1r5a3Qn+l5HpaXl61Zrqa5PVp9eZ6H1dVV0fLroOMzuY2UjTkuyQfKsS0fNDF2cowdkVlSqRRSqRSmpqYwMjKCdDrtv5bJZDA2NoapqSmMjY0hm83u67VaVu5b3Np4zNOc92vOkYPOKU2vFWzcT1pYY8jZmA9aGLtwGD+i0hqrPQC6r/1AO9qa2rCyuQKgPCs1iIiIiIjqyeDgIF555RX09fVhYWEBg4ODmJ2d9V+bmZkBkDuJcfbsWUxOTj70tVpWuFIjf4vb2MFYFUdERERERBQOV2oYpFLLw9vb261Zrqa5PVp9OY6D1tZW0fLroOMzuY2UjTkuyQfKsS0fNDF2cowdkVkmJyeRTCb9x9FoFEDuREWhRCKBVCr10NdqXeFKDSD8hVM2HvM05/2ac+Sgc0rTawUb95MW1hhyNuaDFsYuHMaPqDSe1DBM4UmNt1feLsvy8Gw2a81yNc3t0erL8zysrKyIll8HHZ/JbaRszHFJPlCObfmgibGTY+yIzNLX1+f/PTk5ieHhYQC521LF4/Gi98bjcaTT6ZKv1bpy3+LWxmOe5rxfc44cdE5peq1g437SwhpDzsZ80MLYhcP4EZXG208Z5on2J/y/727dxe27t9F1uCvUZzY0NIQdllE0t0err0hEdn5RMj6T20jZluPSfKAc2/JBE2Mnx9gRmSWdTuPSpUvo7+/H0NAQAOz5GxkLCwslX9vNxsYGNjY2/MfLy8sAANd14bqufOAhuK4Lz/N29N/W1Ja7xe293C1u31x+M9QYPc+D4zhwXdeaq0e1tkkzdvk+gvQlGZ9WmzDtgrIxxyX5QDm25sNu3xflZmPsNGnFTysfqDaYkA/77ZsnNQzzeNvjRY/fXH4z1EkNx3HQ1tYWdljG0Nwerb4cx0FLS4to+XXQ8ZncRsrGHJfkA+XYlg+aGDs5xo7IPMlkEolEAiMjI5iamsLAwMCe7y31g+B7vXbhwgW8+OKLO56fm5vD+vp60OGWheu6WFpagud5Oy6QONp0FAt3cidofjD3A9y6dSt0f3fv3g39GabR2iaNflzXxebmJubm5gJfMCMZn1abMO1M7UdDmHygHNvyYa/vi0qwKXbVUOn4aecDmc2EfFhZWdnX+3hSwzC7LQ/vPd4r/rz8crVoNGrFP5Jqbo9WX57nYXl5GV1dwU5eScZnchspG3Nckg+UY1s+aGLs5Bg7IjNFo1EMDg6iv78fi4uLiEajO1ZeLCwsIBqNlnxtN+fPn8cLL7zgP15eXsbJkyfR1dWF9vb2sm/LfuSv5Ozq6tpRhL7v9vswu5b7sfS5zTkc6TqCiCMrVG085mnO+7Vit729jZWVFXR1de17NaHptYKN+0mLJB8ox8Z8KPV9UU42xk6TVvy08oFqgwn5cPDgwX29jyc1DHO46TCOHjqKW3dzV0+9ufxm6M9samoK/Rkm0dwerb4aG2X/K0rGZ3IbKdtyXJoPlGNbPmhi7OQYOyIzpFIpDA4OYnFxEUDuB7+B3A+B9/X1YXx8fEeb3t5eJBKJPV/bTXNzM5qbm3c8H4lEqvoPAo7j7DqGJzueBP7x30M23U3cunsLJ1pPiPrwPA/Nzc2IRCLW/COV1jZpxs7zPDQ1NQXKScn4tNqEaReUrTkeNB8ox8Z8APb+vignW2OnRTN+GvlAtaPa+bDffvkvZwZ6ov0J/6TGW8vhfsjPcRy0traWY1hG0Nwerb4cx8Hhw4dFt58KOj6T20jZmOOSfKAc2/JBE2Mnx9gRmSMejxf9UHg6nUY0GkUymdzx3kwmg97eXn+lxl6v2eDx9p23uJWe1LDxmKc579ecIwedU5peK9i4n7SwxpCzMR+0MHbhMH5EpfEUnIEKi44bazewsb1R4t2leZ6H+fl5eJ5XjqFVneb2aPXleZ5/v7qg7YKOz+Q2UjbmuCQfKMe2fNDE2MkxdkTmSCaTeP755zExMYGJiQlcunQJMzMz/uuTk5P+72yMj49jcnJyX6/VupOtJxEpKP3CrAa38ZinOe/XnCMHnVOaXivYuJ+0sMaQszEftDB24TB+RKVxpYaBnmh/wv/bhYt3Vt5Bd7Rb/HmHDh0qx7CMobk9Wn0dOHBA1E4yPpPbSNmW49J8oBzb8kETYyfH2BGZo/BHwYeGhopeSyQSGB0d3fG+h71W65oamvBI6yN4d/VdALnf7QvDxmOe1jZpxk4ypzS9VrBxP2lhjSFnYz5oYezCYfyI9saVGgZ6vG3n8nAp25aZam6PVl+O4+DQoUOi209JlpSb2kbKxhyX5APl2JYPmhg7OcaOiGpB4YVTYW5xa+MxT3PerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhK40kNAx1rOYbmhvs/PBim6PA8D7dv37ZmuZrm9mj15XkeFhcXRcuvg47P5DZSNua4JB8ox7Z80MTYyTF2RFQLCi+cmrs7hzubd0SfY+MxT3PerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhK40kNA0WcCE62nfQfv7kiX6kBAC0tLWGHZBTN7dHq6/Dhw6J2kvGZ3EbKthyX5gPl2JYPmhg7OcaOiEz34I+Fh7kFlY3HPK1t0oydZE5peq1g437SwhpDzsZ80MLYhcP4Ee2NJzUM9eDycOmZWduWmWpuj1ZfjuOgublZtPxasqTc1DZSNua4JB8ox7Z80MTYyTF2RFQLCusLQH6LWxuPeZrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUWtVPaqRSKaRSKUxNTWFkZATpdNp/LZPJYGxsDFNTUxgbG0M2m93XazYovJJqdXMVC+sLos/xPA+3bt2yZrma5vZo9eV5HhYWFkTLr4OOz+Q2UjbmuCQfKMe2fNDE2MkxdkRUCzoPdqKl6f4Vn9Jb3Np4zNOc92vOkYPOKU2vFWzcT1pYY8jZmA9aGLtwGD+i0hqrPYDBwUG88sor6Ovrw8LCAgYHBzE7O+u/NjMzAyB3EuPs2bOYnJx86Gs2eKKt+Eqqt1beQuehTtFndXR0lGNIxtDcHq2+WltbRe0k4zO5jZRtOS7NB8qxLR80MXZyjB0Rmc5xHDze9jj+YeEfAIS7/ZSNxzytbdKMnWROaXqtYON+0sIaQ87GfNDC2IXD+BHtreorNSYnJ5FMJv3H0WgUQO5ERaFEIoFUKvXQ12zx4D1v31h6Q/Q5ti0z1dwerb4cx8GBAwdEy68lS8pNbSNlY45L8oFybMsHTYydHGNHRLWisMZ4a/ktuJ4b+DNsPOZpzvs158hB55Sm1wo27ictrDHkbMwHLYxdOIwfUWlVP6nR19fn/z05OYnh4WEAudtSxePxovfG43Gk0+mSr9mipakFRw4d8R9Lr6RyXRc3b96E6wYvWEykuT1afbmui/n5+cD9SMZnchspG3Nckg+UY1s+aGLs5Bg7IqoVhavB17fXcevOrcCfYeMxT3PerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhKq/rtpwAgnU7j0qVL6O/vx9DQEADs+RsZCwsLJV970MbGBjY2NvzHy8vLAHIHh2odGFzXhed5D+3/ibYncPvObQBAJpsRjdfzPHR0dOyrv1qguT1afXmeh7a2tsD9SMZnchspG3Nckg+UY1s+7Pf7ohxsi50mrdhp5gOZz5R8qHb/FMyTHU8WPb62dA3HW44H+gzHcRCLxay6clRrmzRj5zgO2tvbA6+gCDo+rTZh2gVla44HzQfKsTEftDB24TB+RKUZcVIjmUwikUhgZGQEU1NTGBgY2PO9pX4QfLfXLly4gBdffHHH83Nzc1hfX5cMNzTXdbG0tATP8xCJ7L1Y5ohzBJtbmwCAt5fexlvvvYWDDQe1hklKXNfF2toa5ubmSuYD1QfmAxXa7/cF1QfmAxUyJR9WVlaq1jcF93jb44ggAhe5k1HXlq7hYyc+Fugz8rexsYnWNmnGznEcNDU1BT7ZEHR8Wm3CtDO1H02SfKAcG/NBC2MXDuNHVJoRJzWA3G9pDA4Oor+/H4uLi4hGoztWXiwsLCAajZZ87UHnz5/HCy+84D9eXl7GyZMn0dXVhfb29opsy8O4rgvHcdDV1VWyCP1R70fx5Rtf9h/fab6Dx+OP7/n+vfq6desWjh49asU/gGhuj1ZfW1tbmJ+fx5EjR9DYuP//JSXjM7mNlG05Ls0HyrEtH/b7fVGuvmyKnSat2GnmA5nPlHw4eJAX3NSSpoYmPNb2mH9r2zeW3wj8GTZ+X2gexzXnyLdv38aRI0eMm/dL42DjftIiyQfKsTEftDB24TB+RKVV9V/MUqkUBgcHsbi4CCD3g99A7ofA+/r6MD4+vqNNb28vEonEnq89qLm5Gc3NzTuej0QiVT0oOI7z0DEkogmg4EKKN1fexIeOfChwP11dXWhoaLDiqgzN7dHqq6GhAbFYDA0NDYFyUjI+k9tI2Zbj0nygHNvyAdjf90W5+rEtdlq0j3nVnsOQOUzIB+Zi7Xmy48n7JzWW3oDneYGv5u/s7LTqu0JrmzRj5zgOotFoxfetVpsw7YKyNceD5gPl2JgPWhi7cBg/otKqelIjHo8X/VB4Op1GNBpFMpnc8d5MJoPe3l5/pcZer9kkfjCO9gPtWL6X+x2Qa0vXAn9GfpmpLTS3R6svx3HQ2NgomtQHHZ/JbaRszHFJPlCObfmgibGTY+yIqJY82f4k/hp/DQBYureExY1FxA/G993exmOe5rxfc44cdE5peq1g437SwhpDzsZ80MLYhcP4EZVW1Uurkskknn/+eUxMTGBiYgKXLl3CzMyM//rk5KT/Oxvj4+OYnJzc12u2cBwHT3U85T9+Y+mNwJ/hui6uX79uzY84am6PVl+u62Jubi5wP5LxmdxGysYcl+QD5diWD5oYOznGjohqSWF9AQS/cMrGY57mvF9zjhx0Tml6rWDjftLCGkPOxnzQwtiFw/gRleZ4nudVexCalpeX0dHRgaWlpar+psZ+74v3f//D/40vzX4JABBBBP/55/4zmhqCnand3t5GQ0ODeLym0dwejb5c18V7772HRx55JPAtHCTjM7mNlE05HiYfKMe2fNC8j6pNsdOm9X3B++pSnin5YMLc2gQmxGG/OXFn8w7+9Zf/tf/4zPvO4LPv+2ygvmz8vtDaJq1+pHNK02sF2/aTFtYY4diYD1pzCNtip401BmkzIR/2O69mthruyY4n/b9duP79b4OwbYmp5vZo9SXtR9LO5DZSzHEqxPjJMXZyjB0R1YrDTYdx7PAx/7Hkx8JtPOaZPu/X6svkNmHamdqPJhu3SQtjJ8fYhcP4Ee2NJzUMl+hIFD2WLA+/ceOGNcvVNLdHqy/XdTE/Py9afh10fCa3kbIxxyX5QDm25YMmxk6OsSOiWlN44VTQW9zaeMzTnPdrzpGDzilNrxVs3E9aWGPI2ZgPWhi7cBg/otJ4UsNwRw8fxcGGg/7joFdSRSIRHD9+3JolZJrbo9VXJBJBZ2dn4H4k4zO5jZSNOS7JB8qxLR80MXZyjB0R1Zqn2u//rsatu7ewem91321tPOZpzvs158hB55Sm1wo27ictrDHkbMwHLYxdOIwfUWn8P8NwESdS9GN+QVdqAIBtP5uiuT1afUn7kbQzuY0Uc5wKMX5yjJ0cY0dEteTBHwsPeuGUjcc80+f9Wn2Z3CZMO1P70WTjNmlh7OQYu3AYP6K98aRGDSgsOt5cfhPb7va+27qui5s3b1qzXE1ze7T6cl0XCwsLouXXQcdnchspG3Nckg+UY1s+aGLs5Bg7Iqo1D57UCHLhlI3HPM15v+YcOeic0vRawcb9pIU1hpyN+aCFsQuH8SMqrbHaA6CHKyw6Nt1NvLv6Lh5vf3xfbSORCE6cOFGpoanT3B6tviKRCLq6ukTLr4OOz+Q2UjbmuCQfKMe2fNDE2MkxdkRUazqaOxBrjmFxYxFAsJMaNh7zNOf9mnPkoHNK02sFG/eTFtYYcjbmgxbGLhzGj6g0fqPVgMJ73gLAbHZ23209z8Pm5qY1S9Y0t0erL8/zsLW1FbgfyfhMbiNlY45L8oFybMsHTYydHGNHRLVIeotbG495mvN+zTly0Dml6bWCjftJC2sMORvzQQtjFw7jR1QaT2rUgBOtJ9Dc0Ow/zixl9t3W8zzMz89bcxDU3B6tvjzPQzabFU3qg47P5DZSNua4JB8ox7Z80MTYyTF2RFSLEtGE//f1teu4s3lnX+1sPOZpzvs158hB55Sm1wo27ictrDHkbMwHLYxdOIwfUWk8qVEDGiINRVdSBVmpEYlEcPz4cWuWmWpuj1ZfkUgER44cEd1+Kuj4TG4jZWOOS/KBcmzLB02MnRxjR0S1qLuju+jxfldr2HjM05z3a86Rg84pTa8VbNxPWlhjyNmYD1oYu3AYP6LS+H9GjUh03L+S6s2VN7Hpbu6rned5uHfvnjVndjW3R6uvMMuvg47P5DZSNuY4l5jK2ZYPmhg7OcaOiGpRd7T4pMbs0v4unLLxmKc579ecI0tuC2VyrWDjftLCGkPOxnzQwtiFw/gRlcaTGjXi6ejT/t9b7hbeWn5rX+08z8Pi4qI1B0HN7dHqy/M8LC8viyb1QcdnchspG3Nckg+UY1s+aGLs5Bg7IqpFHc0d6DzY6T/e72pwG495mvN+zTly0Dml6bWCjftJC2sMORvzQQtjFw7jR1QaT2rUiB1XUu2z6IhEIjh27Jg1y9U0t0err0gkgs7OTtHy66DjM7mNlI05LskHyrEtHzQxdnKMHRHVqsILpzLZ/f1un43HPM15v+YcOeic0vRawcb9pIU1hpyN+aCFsQuH8SMqjf9n1Ihjh4+htanVfxxkefjGxoY1Z3Y1t0errzDLr4OOz+Q2UjbmOJeYytmWD5oYOznGjohqVeHv9t26ewvL95Yf2sbGY57mvF9zjiy5LZTJtYKN+0kLaww5G/NBC2MXDuNHVBpPatQIx3GKio79XkkFAEtLS5UYUtVobo9WX6urq6J2kvGZ3EbKthyX5gPl2JYPmhg7OcaOiGpR4UoNYP81ho3HPK1t0oydZE5peq1g437SwhpDzsZ80MLYhcP4Ee2NJzVqSGHR8c7KO1jfWn9oG8dxcPToUTiOU8mhqdHcHq2+HMdBPB4P3I9kfCa3kbIxxyX5QDm25YMmxk6OsSOiWlV40RQAZJYeflLDxmOe5rxfc44cdE5peq1g437SwhpDzsZ80MLYhcP4EZXGkxo1pPB3NVy4eGP5jYe28TwPd+/etWa5mub2aPUVZvl10PGZ3EbKxhznElM52/JBE2Mnx9gRUa1qPdCK44eP+49/mP3hQ9vYeMzTnPdrzpElt4UyuVawcT9pYY0hZ2M+aGHswmH8iErjSY0akuhIFD3e74+Fr62tVWI4VaO5PVp93blzR9ROMj6T20jZluPSfKAc2/JBE2Mnx9gRUa0qvHBqPys1ADuPeVrbpBk7yZzS9FrBxv2khTWGnI35oIWxC4fxI9obT2rUkM5DnYg1x/zH+zmp4TgOjhw5Ys1yNc3t0erLcRzEYjHR8uug4zO5jZSNOS7JB8qxLR80MXZyjB0R1bLCkxqL64tYWF8o+X4bj3ma837NOXLQOaXptYKN+0kLaww5G/NBC2MXDuNHVBpPatSYRPT+ao39Lg+/c+eONcvVNLdHq68wy6+Djs/kNlI25jiXmMrZlg+aGDs5xo6IalnQ1eA2HvM05/2ac2TJbaFMrhVs3E9aWGPI2ZgPWhi7cBg/otJ4UqPGPBN9xv/75p2bWL63/NA2d+/ereSQ1Gluj1Zf9+7dE7WTjM/kNlK25bg0HyjHtnzQxNjJMXZEVKue6ngKkYKycD8XTtl4zNPaJs3YSeaUptcKNu4nLawx5GzMBy2MXTiMH9HeeFKjxjwdfbro8Q8XSxcdjuOgs7PTmuVqmtuj1ZfjOOjo6BAtvw46PpPbSNmY45J8oBzb8kETYyfH2BFRLTvYeBAn20/6j3+w+IOS77fxmKc579ecIwedU5peK9i4n7SwxpCzMR+0MHbhMH5EpfGkRo15OvY0HNw/oH1/8fsl3+95HlZXV61Zrqa5PVp9hVl+HXR8JreRsjHHucRUzrZ80MTYyTF2RFTrCleDz2Zn4Xrunu+18ZinOe/XnCNLbgtlcq1g437SwhpDzsZ80MLYhcP4EZXGkxo15lDjIZxsu38l1X6Wh29ublZySOo0t0err62tLVE7yfhMbiNlW45L84FybMsHTYydHGNHRLXsmdj9kxrr2+t4e+Xtku+38ZintU2asZPMKU2vFWzcT1pYY8jZmA9aGLtwGD+ivfGkRg0qLDp+sPiDkldSOY6DWCxmzXI1ze3R6stxHLS3t4uWXwcdn8ltpGzMcUk+UI5t+aCJsZNj7Iio1hXWF0DpW1DZeMzTnPdrzpGDzilNrxVs3E9aWGPI2ZgPWhi7cBg/otJ4UqMGFS4PX99exzsr7+z5Xs/zsLKyYs1yNc3t0erL8zysra2Jll8HHZ/JbaRszHFJPlCObfmgibGTY+yIqNY90vIIWppa/Mc/yO59UsPGY57mvF9zjhx0Tml6rWDjftLCGkPOxnzQwtiFw/gRlcaTGjUoyJVUALC9vV3J4ajT3B6tvlx379U2pUjGZ3IbKdtyXJoPlGNbPmhi7OQYOyKqZREngqejT/uP662+APS2STN2kjml6bWCjftJC2sMORvzQQtjFw7jR7Q3ntSoQSdaT+Bw42H/8feze/9YuOM4iEaj1ixX09werb4cx0FbW5to+XXQ8ZncRsrGHJfkA+XYlg+aGDs5xo6IbFB44dS7q+9ibXNt1/fZeMzTnPdrzpGDzilNrxVs3E9aWGPI2ZgPWhi7cBg/otJ4UqMGBbmSyvM8LC8vW7NcTXN7tPryPA+rq6ui5ddBx2dyGykbc1ySD5RjWz5oYuzkGDsiskHhLW4B4IfZH+76PhuPeZrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUGk9q1Kj3xd/n/13qSioiIiIiIqKHKbxoCnj4LaiIiIiIiKqFJzVq1INXUu1VdDiOg/b2dmuWq2luj1ZfjuOgtbVVtPw66PhMbiNlY45L8oFybMsHTYydHGNHRDZoPdCKEy0n/Mf1Ul8AuvN+zTly0Dml6bWCjftJC2sMORvzQQtjFw7jR1QaT2rUqB1XUmV3Lzo8z0M2m7VmuZrm9mj15XkeVlZWRMuvg47P5DZSNua4JB8ox7Z80MTYyTF2RGSLwt/V+GH2h3C9nT8sbOMxT3PerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhK40mNGtV6oBWPtj7qP3594fU939vQ0KAxJDWa26PVVyQi+19RMj6T20jZluPSfKAc2/JBE2Mnx9gRkQ0KT2qsbq7i+ur1Xd9n4zFPa5s0YyeZU5peK9i4n7SwxpCzMR+0MHbhMH5Ee+O3Wg37QPwD/t8/WPwBtt3tHe9xHAdtbW3WLFfT3B6tvhzHQUtLi2j5ddDxmdxGysYcl+QD5diWD5oYOznGjohs8YHYB4oe73bhlI3HPM15v+YcOeic0vRawcb9pIU1hpyN+aCFsQuH8SMqjSc1aljhSY317XW8ufzmjvd4nofFxUVrlqtpbo9WX57nYXl5WbT8Ouj4TG4jZWOOS/KBcmzLB02MnRxjR0S2eLTtUbQ0tfiPX1/ceVLDxmOe5rxfc44cdE5peq1g437SwhpDzsZ80MLYhcP4EZXGkxo17P2x9xc9/t7C93Z9X1NTk8Zw1Ghuj1ZfjY2NonaS8ZncRsq2HJfmA+XYlg+aGDs5xo6IbBBxInhf7H3+43qpLwC9bdKMnWROaXqtYON+0sIaQ87GfNDC2IXD+BHtjSc1atjRw0cRa475j7+3uLPocBwHra2t1ixX09werb4cx8Hhw4dFy6+Djs/kNlI25rgkHyjHtnzQxNjJMXZEZJPCC6du3rmJ7Hq26HUbj3ma837NOXLQOaXptYKN+0kLaww5G/NBC2MXDuNHVBpPatQwx3Hw/vj9ouP1hdd3LEvzPA/z8/PWLFfT3B6tvjzPw9LSkmj5ddDxmdxGysYcl+QD5diWD5oYOznGjohsUlhfADtvQWXjMU9z3q85Rw46pzS9VrBxP2lhjSFnYz5oYezCYfyISuNJjRpX+Lsa2Y0sbt65ueM9hw4d0hxSxWluj1ZfBw4cELWTjM/kNlK25bg0HyjHtnzQxNjJMXZEZIuno0+j0bl/m5rdbkFl4zFPa5s0YyeZU5peK9i4n7SwxpCzMR+0MHbhMH5Ee+NJjRq340qqheIrqWxbZqq5PVp9OY6DQ4cOiZZfS5aUm9pGysYcl+QD5diWD5oYOznGjohscqDhAJ7qeMp/bHt9AejO+zXnyEHnlKbXCjbuJy2sMeRszActjF04jB9RaTypUeOeaHsCBxsO+o8fvJLK8zzcvn3bmuVqmtuj1ZfneVhcXBQtvw46PpPbSNmY45J8oBzb8kETYyfH2BGRbQpXg7+x/AbWt9b9xzYe8zTn/Zpz5KBzStNrBRv3kxbWGHI25oMWxi4cxo+oNJ7UqHENkQY8E3vGf/zgPW8BoKWlRXNIFae5PVp9HT58WNROMj6T20jZluPSfKAc2/JBE2Mnx9gRkU0KV4Nve9uYzc4WvW7jMU9rmzRjJ5lTml4r2LiftLDGkLMxH7QwduEwfkR740kNCxReSfXu6rtY2ljyH9u2zFRze7T6chwHzc3NouXXkiXlpraRsjHHJflAObblgybGTo6xIyLbvC/2vqLHhavBbTzmac77NefIQeeUptcKNu4nLawx5GzMBy2MXTiMH1FpPKlhgcKTGkBx0eF5Hm7dumXNcjXN7dHqy/M8LCwsiJZfBx2fyW2kbMxxST5Qjm35oImxk2PsiMg2Hc0deKTlEf/xPyz8g/+3jcc8zXm/5hw56JzS9FrBxv2khTWGnI35oIWxC4fxIyqNJzUs8L7Y+9AYafQff2f+O0Wvd3R0aA+pojS3R6uv1tZWUTvJ+ExuI2VbjkvzgXJsywdNjJ0cY0dEtvlQ54f8v7+/+H1supv+YxuPeVrbpBk7yZzS9FrBxv2khTWGnI35oIWxC4fxI9pb48PfQqY70HAAz0Sf8a+g+s7t+yc18stMbaG5PVp9OY6DAwcOiJZfBx2fyW2kbMxxST5Qjm35oImxk2PsiMySTqeRSqUAAFeuXMHFixcRjUb91wAgmUwik8kgm80imUwCADKZDKamppBIJJDJZDA0NOS3q0cf6vwQXnnrFQDAxvYGMtkM3h9/v5XHPM15v+YcOeic0vRawcb9pIU1hpyN+aCFsQuH8SMqjSs1LFF4JdU7q+/4v6vhui5u3rwJ13WrNbSy0twerb5c18X8/HzgfiTjM7mNlI05LskHyrEtHzQxdnKMHZFZUqkUzp07h3PnzuHUqVM4ffq0/9r4+Dh6enrgOA6Gh4eRSCT81wYHB3Hu3DkMDAxgYGAAZ8+ercbwjfHB+AeLHn93/rsA7Dzmac77NefIQeeUptcKNu4nLawx5GzMBy2MXTiMH1FpPKlhiQ8f+XDR43zR4TgOYrGYNVdkaG6PVl+O46C9vV20UiPo+ExuI2VjjkvygXJsywdNjJ0cY0dkjnQ6jQsXLviPBwYGkE6nkclkAAA9PT1YXFzE4uIipqen/ZUY+dfzEomEv9qjXnUe6iz6XY38LW5tPOZpzvs158hB55Sm1wo27ictrDHkbMwHLYxdOIwfUWk8qWGJ90Xfh6ZIk/+4sOiwaZmp5vZo9eU4DpqamkSTesmSclPbSNmY45J8oBzb8kETYyfH2BGZI5lM4uLFi/7jbDYLAIjH4/5z0Wh0x22lUqlU0XvybfK3q6pXu/2uho3HPM15v+YcOeic0vRawcb9pIU1hpyN+aCFsQuH8SMqjb+pYYmmhiY8E3vGX6FRuDz81q1bOHr0KCKR2j+Hpbk9Wn25rovbt2/jyJEjgfqRjM/kNlI25rgkHyjHtnzQxNjJMXZEZhkYGPD/vnTpEvr6+vyTGNlsFlNTUwByv7eRvwVV/uTHgxYWFnZ9fmNjAxsbG/7j5eVlALnjQbVuE+G6LjzPK2v/H4x9EK+8+Y+/q7G1gR8u/BDPRJ+x7pinOe/Xit3W1hbm5uYQj8fR2Li/st/0WsHG/aRFkg+UY2M+VOL7Yq9+bIudJs1jnkY+UG0wIR/22ze/zSzy4c4P+ycz3l19F9n1LDqaO9DZ2WnNmV3HcdS2R6svx3EQjUZFVyoFHZ/JbaQ0+9IgzQfKsS0fNDF2cowdkZnyJzBmZmb85wp//DuRSKC/vx+zs7MlP2M3Fy5cwIsvvrjj+bm5Oayvr4cat5TrulhaWoLneWX7x48urwubW5v+42+88Q1EH43CdV3Mzc1Zc9zLF++V3iatfgBge3sbQC4nGxoa9tVGMj6tNmHaBaW5n7RI8oFybMyHSnxf7MbG2GnSip9WPlBtMCEfVlZW9vU+ntSwyIc7P4xJTPqPvzv/XXz80Y+jqampRKvakl82a1NfjuOgsbFRdFIj6PhMbiOl2ZcGaT5Qjm35oImxk2PsiMw0MjJS9LsZQO63M5LJJIDcSY1MJoNMJoNoNLpjVcbCwsKO21TlnT9/Hi+88IL/eHl5GSdPnkRXVxfa29vLvi374bouHMdBV1dX2YrQoziKkz88iRtrNwAAb2++jWPHjpXls6myXNdFJBIpaz5Q7WI+UKFKfF9Q7WI+UCET8uHgwYP7eh9Paljk6ejTaIo0YdPNXU31nfnv4Cce+QncuHEDx48ft+Lg5Lqu2vZo9ZU/8y65/VTQ8ZncRkqzLw3SfKAc2/JBE2Mnx9gRmWdsbAwjIyNFt5bKZDI4ffo0FhcXi94bj8fR19eH8fHxHZ/T29u76+c3Nzejubl5x/ORSKSqxwHHcco+hh858iO4cSd3UiP/uxrzt+atOuZpzvs158i3b98O9I8SptcKNu4nLZJ8oBwb8wGozPfFg2yNnRbN+GnkA9WOaufDfvtltlqkqaEJH4h/wH/8nfnvIBKJ4NixY9YcmDS3R6uvSCSCeDweuB/J+ExuI2VjjkvygXJsywdNjJ0cY0dklqmpKSSTSf+ExuXLlxGNRpFIJDA6Ouq/L5VKYWBgwH+tUCaTQW9v754rNepJ4Y+F33Pv4Y3lN6w75mnO+zXnyEHnlKbXCjbuJy2sMeRszActjF04jB9RaVypYZkPd34Y3779bQDAe2vvYWF9AdED0eoOqsw0b8uj1Ze0H0k7k9tI2XarJtu2RxvjJ8fYyTF2RGbIZDIYHBwsei4ajfq/pdHb24uxsTFEo1HMzs5icvL+rVsnJycxMjKCU6dO4cqVK0Wv1bMPdn6w6PF357+LZ6LPVGk0lWP6vF+rL5PbhGlnaj+abNwmLYydHGMXDuNHtDee1LBM/koqz/Ow8PoC/s9v/p84dOcQTpw4gVOnTuG5556r6YOijbc1cl0X8/PzOHr0KG8/JWDbklZpPlCObfmgibGTY+yIzJFIJOB53p6vJ5NJ/zc1dmubX8kxMDBQkfHVovjBOB5peQTXV69j4fUF/O5XfxevHnjVmvoCsPO2RpI5pem1go37SQtrDDkb80ELYxcO40dUGk9qWObx1sfx1vRb+N6ffQ/ZTBav4JWi1z/ykY/g85//PH75l38ZjY21t/sjkYjaAV2rr0gkgs7OTtHy66DjM7mNlGZfGqT5QDm25YMmxk6OsSMim21tbWHhrxYw/QfTyGayAIA/x5/7r9d6fQHozvs158hB55Sm1wo27ictrDHkbMwHLYxdOIwfUWn8P8Mia2trGPiXA/jb//C3yGayaHYcfKK1Fb/U0YFPtLai2XHw2muv4ezZs/jMZz6DtbW1ag9ZpNTVd7Xal7QfSTuT20hp9qXBtu3RxvjJMXZyjB0R2WhtbQ2f+cxn8Acv/oHV9QVg/rxfqy+T24RpZ2o/mmzcJi2MnRxjFw7jR7S3qp/USKfTGBsbw9jYGAYHB5HNZoteS6fTAHL3x83/nX88NjaGqakpjI2NFbWrR1tbWzhz5gxefvllHHQc/O9dXfhq99P47Ucfw//v+CP47Ucfw1e7n8b/3tWFZsfByy+/jDNnzmBra6vaQw/EdV3cvHkTruta05frulhYWAjcj2R8JreR0uxLgzQfKMe2fNDE2MkxdkRko3qpLwDdeb/mHDnonNL0WsHG/aSFNYacjfmghbELh/EjKq3qJzVSqRTOnTuHc+fO4dSpUzh9+rT/2vj4OHp6euA4DoaHh5FIJPzXBgcHce7cOQwMDGBgYABnz56txvCN8Xu/93t+wfHSYyfxK/FORBsait4TbWjAr8Q78dJjJ/3C4/d///erNGKZSCSCEydOqC3Z1ugrEomgq6tLtPw66PhMbiOl2ZcGaT5Qjm35oImxk2PsiMhG9VJfALrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUWlX/z0in07hw4YL/eGBgAOl0GplMBgDQ09ODxcVFLC4uYnp6GtFoFAD81/MSiQRSqZTauE3jeR5++7d/GwDw+SNHkDx8uOT7ew4fxr87cgQA8IUvfKGmlrN5nofNzU2VMWv15Xketra2AvcjGZ/JbaQ0+9IgzQfKsS0fNDF2cowdEdmmnuoLQHferzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhKq+pJjWQyiYsXL/qP87eQisfj/nPRaNQ/mZGXSqWK3pNvU3h7qnryjW98A6+99hqaHQef7Yjuq81nO6L+PXBfffXVyg6wjDzPw/z8vFohoNGX53nIZrOiSX3Q8ZncRkqzLw3SfKAc2/JBE2Mnx9gRkW3qqb4AdOf9mnPkoHNK02sFG/eTFtYYcjbmgxbGLhzGj6i0xmoPYGBgwP/70qVL6Ovr809iZLNZTE1NAQCuXLni34Jqr9/PWFhY2PHcxsYGNjY2/MfLy8sAcvemq9Z96VzXhed5Zev/ypUrAICPt7TsWBK+l2hDAz7e0oKvrq7i1VdfxalTp8oyFg1Hjx4FAJX9p9VXZ2enqB/J+ExuI6XZlwZpPlCOTflQ7u+Lh7Epdto0YqedD2Q2U/Kh2v1TZVy9ehWAvL64cuUKnnvuuUoOsawikQiOHz9uTT/5vo4cORL4tlBBx6fVJkw7U/vRJMkHyrExH7QwduEwfkSlVf2kRl7+BMbMzIz/3NDQkH+CI5FIoL+/H7OzsyU/40EXLlzAiy++uOP5ubk5rK+vhx63hOu6WFpagud5ZZlUvPfeewCA2D4LjrxopMFvf+vWrdDj0JBfNtvY2AjHcazoa3t72//RtoYA+1AyPpPbSGn2pUGaD5RjWz6U+/uiFNtip0krdpr5QOYzJR9WVlaq1jdVTn6/SuuLWsuL/C0+mpqaKnoc1+qnsC/JbaGCjE+rTZh2QWnuJy28jY2cjfmghbELh/EjKs2YkxojIyNFv5sB5H47I5lMAsid1MhkMshkMohGoztWZSwsLOy4TRUAnD9/Hi+88IL/eHl5GSdPnkRXVxfa29srsi0P47ouHMcp2w91PfLIIwCAxe3tQO2y7rbfPn+Fqelc18Xc3JzKj5xp9bW1tYXFxUV0dXWhsXH//0tKxmdyGynNvjRI84FybMuHcn9fPKwvm2KnSSt2mvlA5jMlHw4ePFi1vqly2traAMjri3z7WuF5nj//qvQ/lmv0k+9reXnZrxX32ybo+LTahGkXlOZ+0iLJB8qxMR+0MHbhMH5EpRnxL2ZjY2MYGRkpurVUJpPB6dOnsbi4WPTeeDyOvr4+jI+P7/ic3t7eHc81Nzejubl5x/ORSKSqBaDjOGUbQ/7WUV9fW0N2e3tfS8Sz29v4+toaAODZZ5+tmX8ciUQiahMxrb4aGxtx5MgRNDY2Bl4eHnR8JreR0uxLgzQfKMe2fADK+31Rio2x06IZO618oNpgQj4wF+2Ur6uk9UUt3doWyOXxsWPHrOkn31dnZ2fg+iLo+LTahGlnaj+aJPlAOTbmgxbGLhzGj6i0qn+jTU1NIZlM+ic0Ll++jGg0ikQigdHRUf99qVQKAwMD/muFMpkMent7d12pUQ+ee+45fOQjH8GG5+GPl7L7avPHS1lseB4++tGP4tlnn63sAMvI8zxsbGyo/bieRl+e5+HevXuiH8oLOj6T20hp9qVBmg+UY1s+aGLs5Bg7IrJNPdUXgO68X3OOHHROaXqtYON+0sIaQ87GfNDC2IXD+BGVVtWTGplMBoODg+jv74fjOIjFYhgZGQEARKNR9Pb2YmxsDBMTE7hy5QomJyf9tpOTkxgZGcHU1BTGx8eLXqs3juPg85//PADgC7dvI33nTsn3z9y5gy/cvg0A+PznP19zy9iWlpas62t1dVXUTjI+k9tIafalQZoPlGNbPmhi7OQYOyKySb3VF4DecVzz+0IypzS9VrBxP2lhjSFnYz5oYezCYfyI9uZ4dXbKb3l5GR0dHVhaWqrqb2rcunULR48eLdvyz62tLXzmM5/Byy+/jGbHwb87cgSf7YgWLRXPbm/jj7NZfGH+NjY8D7/wC7+AL37xi7xvf5VVIh+odjEfqBDzgQoxH6iQKflgwtzaBCbEodw5wfqitplyjCAzMB+oEPOBCjEfqJAJ+bDfeTVnm5ZobGzE5cuXcebMGbz88sv4rbk5fOH2bXy8pQXRSAOy7jb+Zm0N9/7xHNYv/MIv4NKlSzVXcHieh/X1dRw8eFDlx/U0+gqz/Dro+ExuI6XZlwYuMQ3HtnzQxNjJMXZEZKN6qS8A3Xm/5hxZclsok2sFG/eTFtYYcjbmgxbGLhzGj6g0noKzSEtLC770pS/hpZde8u+B+9XVVfw/y0v46uoq7nkeuj/UjZdeeglf/OIX0dLSUu0hi6z94w8Q2tTXnYcs6d+LZHwmt5HS7EuDNB8ox7Z80MTYyTF2RGSj/dQXx585XvP1BaB3HNf8vpDMKU2vFWzcT1pYY8jZmA9aGLtwGD+ivfH2U1WgsZTH8zy8+uqrePXVV/EH3/wDbB3YQvyZOD71U5/CuWfPVaRPkjFhaReZg/lAhZgPVIj5QIVMyQcT5tYmMCEOlc6JfH1x5coVfPWHX8W19WuIPxPH0fcfxe/+s9/FocZDZe+T5Ew5RpAZmA9UiPlAhZgPVMiEfODtp+qc4zh47rnn8Oyzz8L9houvz30dcIDvzH8Hm+4mmiJN1R6iiOd5uHv3Lg4dOqSyZFujr3w/kttPBR2fyW2kNPvSIM0HyrEtHzQxdnKMHRHVg8L6IvlGEv/X3/9fgANsYxvfnf8ueo71VHuIYtrzfs05ctDbT5lcK9i4n7SwxpCzMR+0MHbhMH5EpfEUXB14f9v7/b/Xt9fx+sLrVRxNeHfv3rWur3v37onaScZnchspzb40SPOBcmzLB02MnRxjR0T15InDT6DBuf+D4d+a+1YVR1MeWsdxze8LyZzS9FrBxv2khTWGnI35oIWxC4fxI9obT2pYznEcfOzpjxWd1Z25OVPFEYXjOA46OztVzlJr9eU4Djo6OgL3IxmfyW2kNPvSIM0HyrEtHzQxdnKMHRHVE8dx8OixR/G++Pv8575585s1fQW45rxfc44cdE5peq1g437SwhpDzsZ80MLYhcP4EZXGkxqW8zwPDZsNeCb6jP9c+ma6ZosOz/OwurqqMn6tvjzPw507d0S3nwo6PpPbSGn2pUGaD5RjWz5oYuzkGDsiqif5Y95Hj37Uf+7W3Vt4Z/WdKo4qHM15v+YcOeic0vRawcb9pIU1hpyN+aCFsQuH8SMqjSc16sDm5mZR0XHjzg28t/ZeFUcUzubmpnV9bW1tidpJxmdyGynNvjRI84FybMsHTYydHGNHRPXkwfoCAL5565tVGk15aB3HNb8vJHNK02sFG/eTFtYYcjbmgxbGLhzGj2hvPKlhOcdxEIvF0Hu8t+j5Wr0FVX57tJZsa/TlOA7a29tFy6+Djs/kNlKafWmQ5gPl2JYPmhg7OcaOiOpJ/ph3su0kjh466j+fvpmu4qjC0Zz3a86Rg84pTa8VbNxPWlhjyNmYD1oYu3AYP6LSeFLDcp7nYWVlBY+1PoYjh474z9fqSY389mgt2dboy/M8rK2tiZZfBx2fyW2kNPvSIM0HyrEtHzQxdnKMHRHVk/wxDwCSx5L+868vvI7Ve6vVGlYomvN+zTly0Dml6bWCjftJC2sMORvzQQtjFw7jR1QaT2rUge3tbTiOg55jPf5ztVx0bG9vW9eX67qidpLxmdxGSrMvDdJ8oBzb8kETYyfH2BFRPckf8wpvQeXCxd/N/V21hhSa1nFc8/tCMqc0vVawcT9pYY0hZ2M+aGHswmH8iPbGkxqWcxwH0WgUjuMgefT+lVQuXHxr7ltVHJlM4fbY0pfjOGhraxMtvw46PpPbSGn2pUGaD5RjWz5oYuzkGDsiqieFx7wPd34YBxsO+q/N3KrN1eCa837NOXLQOaXptYKN+0kLaww5G/NBC2MXDuNHVBpPaljO8zwsLy/D87ydRUcN3oKqcHts6cvzPKyuroqWXwcdn8ltpDT70iDNB8qxLR80MXZyjB0R1ZPCY15TQxN+9MiP+q+9dus1bLu1d1Wp5rxfc44cdE5peq1g437SwhpDzsZ80MLYhcP4EZXGkxp15MGi41tz36rJooOIiIiIiMxQ+Lsaq5ur+EH2B1UcDRERERHVA57UsJzjOGhvb/eXqxX+rsbq5ipeX3y9WkMTeXB7bOjLcRy0traKll8HHZ/JbaQ0+9IgzQfKsS0fNDF2cowdEdWTB495hb+rAQDpm+lqDCsUzXm/5hw56JzS9FrBxv2khTWGnI35oIWxC4fxIyqNJzUs53kestmsv1ztwaLjm7e+WY1hiT24PTb05XkeVlZWRMuvg47P5DZSmn1pkOYD5diWD5oYOznGjojqyYPHvNjBGBIdCf/19K3aO6mhOe/XnCMHnVOaXivYuJ+0sMaQszEftDB24TB+RKXxpEYdaGho8P+OHozi6ejT/uNa/F2Nwu2xpa9IRPa/omR8JreR0uxLgzQfKMe2fNDE2MkxdkRUTx485hXegurtlbdx684t7SGFpnUc1/y+kMwpTa8VbNxPWlhjyNmYD1oYu3AYP6K98VvNco7joK2trWi5WvLo/aLj3dV3cX31ejWGJrLb9tR6X47joKWlRbT8Ouj4TG4jpdmXBmk+UI5t+aCJsZNj7IionjysvgBqb7WG5rxfc44cdE5peq1g437SwhpDzsZ80MLYhcP4EZXGkxqW8zwPi4uLRcvVeo/3Fr3nG+99Q3tYYrttT6335XkelpeXRcuvg47P5DZSmn1pkOYD5diWD5oYOznGjojqyW7HvKc6nkK0Oeo/vnrjahVGJqc579ecIwedU5peK9i4n7SwxpCzMR+0MHbhMH5EpfGkRh1oamoqevx42+M4fvi4//jVG69qDymUB7fHhr4aGxtF7STjM7mNlGZfGqT5QDm25YMmxk6OsSOievLgMS/iRNB77P6FU9+5/R2s3lvVHlYoWsdxze8LyZzS9FrBxv2khTWGnI35oIWxC4fxI9obT2pYznEctLa2Fi1XcxwHzz7yrP84s5TB3J25agwvsN22p9b7chwHhw8fFi2/Djo+k9tIafalQZoPlGNbPmhi7OQYOyKqJ3sd8wrrCxduTf12n+a8X3OOHHROaXqtYON+0sIaQ87GfNDC2IXD+BGVxpMalvM8D/Pz8zuWqz13/Lmix7WyWmOv7anlvjzPw9LSkmj5ddDxmdxGSrMvDdJ8oBzb8kETYyfH2BFRPdnrmPehzg+hpanFf/yNG7V1i1uteb/mHDnonNL0WsHG/aSFNYacjfmghbELh/EjKo0nNerAoUOHdjzXHe1G/GDcf1xLv6ux2/bUel8HDhwQtZOMz+Q2Upp9aZDmA+XYlg+aGDs5xo6I6slux7ymSFPRD4b/3dzf4e7WXc1hhaJ1HNf8vpDMKU2vFWzcT1pYY8jZmA9aGLtwGD+ivfGkhuX2WmbqOE7Rao3vL34fi+uL2sMLTHPZrFZfjuPg0KFDouXXkiXlpraRsm0ptTQfKMe2fNDE2MkxdkRUT0od8549fv8WVJvuJl679ZriyOQ05/2ac+Sgc0rTawUb95MW1hhyNuaDFsYuHMaPqDSe1LCc53m4ffv2rsvVCu9768HDlRtXNIcmUmp7arUvz/OwuLgoWn4ddHwmt5HS7EuDNB8ox7Z80MTYyTF2RFRPSh3zfvzoj+NA5P7V4LV0i1uteb/mHDnonNL0WsHG/aSFNYacjfmghbELh/EjKo0nNepAS0vLrs9/IP4BdBzo8B/XStGx1/bUcl+HDx8WtZOMz+Q2Upp9aZDmA+XYlg+aGDs5xo6I6slex7zmhmZ89OhH/cfpm2lsbm9qDSsUreO45veFZE5peq1g437SwhpDzsZ80MLYhcP4Ee2NJzUsV2qZacSJ4NTxU/7j79z+DlburWgOLzDNZbNafTmOg+bmZtHya8mSclPbSNm2lFqaD5RjWz5oYuzkGDsiqicPO+YV1hfr2+v49u1vaw1NTHPerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhK40kNy3meh1u3bu25XK3wFlQuXFy9cVVraCIP255a7MvzPCwsLIiWXwcdn8ltpDT70iDNB8qxLR80MXZyjB0R1ZOHHfOSx5JodBr9x9+48Q2toYlpzvs158hB55Sm1wo27ictrDHkbMwHLYxdOIwfUWk8qVEHOjo69nztw50fRmtTq/+4Fm5BVWp7arWv1tbWh79pF5LxmdxGSrMvDdJ8oBzb8kETYyfH2BFRPSl1zGtpasGPHPkR//HMjRlsu9sawwpF6ziu+X0hmVOaXivYuJ+0sMaQszEftDB24TB+RHvjSQ3LPWyZaWOkET3HevzHf3f777C2uaY1vMA0l81q9eU4Dg4cOCBafi1ZUm5qGynbllJL84FybMsHTYydHGNHRPVkP8e8Z4/fXw2+srmC7y18T2NoYprzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUGk9qWM51Xdy8eROu6+75nuceec7/e8vdwqvvmbtaYz/bU2t9ua6L+fn5wP1IxmdyGynNvjRI84FybMsHTYydHGNHRPVkP8e83uO9cHD/H2H++3v/XWNoYprzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUGk9qWM5xHMRisZJndn+s68eKbkH1N9f/RmNoIvvZnlrry3EctLe3i65UCjo+k9tIafalQZoPlGNbPmhi7OQYOyKqJ/s55nU0d+CDnR/0H3/jvW8YfQsqzXm/5hw56JzS9FrBxv2khTWGnI35oIWxC4fxIyqNJzUst59lpk2RpqIl4t+5/R1k17MKowtOc9msVl+O46CpqUk0qZcsKTe1jZRtS6ml+UA5tuWDJsZOjrEjonqy32PeT574Sf/v5XvL+Pv5v6/00MQ05/2ac+Sgc0rTawUb95MW1hhyNuaDFsYuHMaPqDSe1LCc67q4cePGQ5er/ZNH/8n9NnDxt+/9baWHJrLf7amlvlzXxe3bt0XLr4OOz+Q2Upp9aZDmA+XYlg+aGDs5xo6I6sl+j3nPPvIsIgXl5tevf73SQxPTnPdrzpGDzilNrxVs3E9aWGPI2ZgPWhi7cBg/otJ4UsNyjuOgs7PzoWd2P9j5QcSaY/5jU29Btd/tqaW+HMdBNBoVXakUdHwmt5HS7EuDNB8ox7Z80MTYyTF2RFRP9nvMaz/Qjh/r+jH/8avvvYrN7c1KD09Ec96vOUcOOqc0vVawcT9pYY0hZ2M+aGHswmH8iErjSQ3L7XeZacSJ4GMnPuY//v7i93Hrzq1KDy8wzWWzWn05joPGxkbRpF6ypNzUNlK2LaWW5gPl2JYPmhg7OcaOiOpJkGPeTz56/xZUd7bu4LW51yo4MjnNeb/mHDnonNL0WsHG/aSFNYacjfmghbELh/EjKo0nNSznui6uX7++r+Vqhfe9BYC/ede81RpBtqdW+nJdF3Nzc6Ll10HHZ3IbKc2+NEjzgXJsywdNjJ0cY0dE9STIMa/3WC+aIk3+Y1NvQaU579ecIwedU5peK9i4n7SwxpCzMR+0MHbhMH5EpfGkhuUikQiOHTuGSOThu7o72o1jh4/5j00sOoJsT630FYlEEI/HA/cjGZ/JbaQ0+9IgzQfKsS0fNDF2cowdEdWTIMe8w02H8dGjH/Ufz9ycwfrWeiWHJ6I579ecIwedU5peK9i4n7SwxpCzMR+0MHbhMH5EpfH/jDqw36VqjuMUrdZ4a+UtvL3ydqWGJaa59E6rL2k/knYmt5GybTmmbdujjfGTY+zkGDsiqidBjnkfP/Fx/++N7Q2kb6YrMaTQTJ/3a/Vlcpsw7UztR5ON26SFsZNj7MJh/Ij2xpMalnNdFzdu3Nj3crWPP/rxosem3YIq6PbUQl+u62J+fl60/Dro+ExuI6XZlwZpPlCObfmgibGTY+yIqJ4EPeYljyVxsOGg/9jE1eCa837NOXLQOaXptYKN+0kLaww5G/NBC2MXDuNHVBpPalguEong+PHj+16udrLtJJ5oe8J//DfX/wae51VqeIEF3Z5a6CsSiaCzs1O0/Dro+ExuI6XZlwZpPlCObfmgibGTY+yIqJ4EPeY1NzSj51iP//ibc9/E2uZapYYnojnv15wjB51Tml4r2LiftLDGkLMxH7QwduEwfkSl8f+MOhD0pMRPPnr/FlS37tzC64uvl3tIoWieZNHqS9qPpJ3JbaRMOvFWDrZtjzbGT46xk2PsiKiehKkvttwtvPreq+UeUmimz/u1+jK5TZh2pvajycZt0sLYyTF24TB+RHvjSQ3Lua6LmzdvBlqu9k8e/SdwcP++fV97+2vlH5iQZHtM78t1XSwsLIiWXwcdn8ltpDT70iDNB8qxLR80MXZyjB0R1RPJMe/Hun4MrU2t/uO/fvevKzE0Mc15v+YcOeic0vRawcb9pIU1hpyN+aCFsQuH8SMqjSc1LBeJRHDixIlAy9U6D3XiR478iP/4v1//79jY3qjE8AKTbI/pfUUiEXR1dYmWXwcdn8ltpDT70iDNB8qxLR80MXZyjB0R1RPJMa8p0oSPnfiY//i789/FrTu3KjE8Ec15v+YcOeic0vRawcb9pIU1hpyN+aCFsQuH8SMqjf9nWM7zPGxubgZesvYzJ3/G/3t9e92YJeLS7TG5L8/zsLW1FbgfyfhMbiOl2ZcGaT5Qjm35oImxk2PsiKieSI95//Sxf1r0+L+989/KOaxQNOf9mnPkoHNK02sFG/eTFtYYcjbmgxbGLhzGj6g0ntSwnOd5mJ+fD3wQPHX8FA41HvIf/9U7f1XuoYlIt8fkvjzPQzabFU3qg47P5DZSmn1pkOYD5diWD5oYOznGjojqifSY90z0GTzS8oj/+K/f+Wtjjpua837NOXLQOaXptYKN+0kLaww5G/NBC2MXDuNHVFpjtQdAlRWJRHD8+PHA7ZobmvHxEx/HK2+9AgD4+9t/j9t3b+PIoSPlHmIg0u0xua9IJIIjR46Ill8HHZ/JbaQ0+9IgzQfKsS0fNDF2cowdkVnS6TRSqRQA4MqVK7h48SKi0SgAIJPJYGpqColEAplMBkNDQ/t6je6THvMcx8FPP/bT+KPX/wgAcOPODXx/8ft4f/z95R5iYJrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUGr/RLOd5Hu7duyc6s/vTj/30/c+BZ8QS8TDbY2pfYZZfBx2fyW2kNPvSwCWm4diWD5oYOznGjsgsqVQK586dw7lz53Dq1CmcPn3af21wcBDnzp3DwMAABgYGcPbs2X29RveFOeb91GM/BQeO/9ik1eBa837NObLktlAm1wo27ictrDHkbMwHLYxdOIwfUWk8qWE5z/OwuLgoOgi+L/a+oiXif/XOX1X9YBpme0zty/M8LC8viyb1Qcdnchspzb40SPOBcmzLB02MnRxjR2SOdDqNCxcu+I8HBgaQTqeRyWSQyWSK3ptIJPwVHaVeo2JhjnlHDh3Bhzs/7D/++vWv4972vXIOT0Rz3q85Rw46pzS9VrBxP2lhjSFnYz5oYezCYfyISuNJDctFIhEcO3ZMtMw0v0Q877219/D9xe+Xc3iBhdkeU/uKRCLo7OwU3X4q6PhMbiOl2ZcGaT5Qjm35oImxk2PsiMyRTCZx8eJF/3E2mwUAxONxpFIpxOPxovfH43H/dlV7vUbFwh7zfvrk/fri7tZdXL1xtVxDE9Oc92vOkYPOKU2vFWzcT1pYY8jZmA9aGLtwGD+i0vibGpbLL1c7cOAAHMd5eIMH/NRjP4VLr1+Ch9yZ4b9656+qet/bsNtjYl9hl18HGZ/JbaQ0+9LAJabh2JYPmhg7OcaOyCwDAwP+35cuXUJfXx+i0ah/guNBCwsLJV/bzcbGBjY2NvzHy8vLAADXdeG6rmzgIbmuC8/zKt5/2GNez9EeNDc0Y2MrF7+vvf01/MQjP1HmUQajPe/X+L7Y3t7GxsYGtre3993G9FrBxv2kRZIPlGNjPtTK90W904qfVj5QbTAhH/bbN09q1IGlpSV0dXWJ2h45dAQ/cuRH8O3b3wYA/M27f4P/9UP/Kw42HiznEAMJsz2m9rW6uipqJxmfyW2kNPvSIM0HyrEtHzQxdnKMHZF5stkspqamMDMz89D3BX3twoULePHFF3c8Pzc3h/X19SDDLBvXdbG0tATP8yp6VWf+dhixWEz8jyw/0vYj+Nu5vwUApN9L4/vvfB/RA9EyjjKYcmyTSf0AuX/Efu+999DY2IiGhoaKjU+rTZh2QWnuJy2SfKAcG/Ohlr4v6plW/LTygWqDCfmwsrKyr/fxpIblHMfB0aNHQ33Gz5z8Gf+kxvr2Or5+/ev45OOfLMfwAivH9pjWl+M4iMfjgb+kJOMzuY2UZl8apPlAObblgybGTo6xIzLTyMgIpqenEY1GAQDRaHTHyouFhQVEo9GSr+3m/PnzeOGFF/zHy8vLOHnyJLq6utDe3l7W7dgv13XhOA66uroqXoQeO3YsVPufa/g5zCzeP9n0+sbr+PRjnw47rFDCbpNp/biui0gkEjgfJOPTahOmnan9aJHmA+XYmA+18n1R7zTip5kPZD4T8uHgwf1dSM+TGpbzPA/r6+s4ePCg+B9Jnzv+HH6v6fewspk7U5Z6M1W1kxrl2B7T+vI8DxsbG6LbTwUdn8ltpDT70iDNB8qxLR80MXZyjB2RecbGxjAyMoJEIuGvtujr68P4+PiO9/b29iKRSOz52m6am5vR3Ny84/lIJFLVfxBwHKfiYyjHMe/DRz6Mo4eP4tbdWwCAv3z7L/HPn/7nVTuGas77NefI9+7d83OiUuPTrBVs3E9aJPlAOTbmA1A73xf1TDN+GvlAtaPa+bDffpmtdWBtbS1U+6aGJvzTx/6p/3h2aRbXlq6FHZZY2O0xsa87d+6I2knGZ3IbKc2+NEjzgXJsywdNjJ0cY0dkjqmpKSSTSf+ExuXLlxGNRpFIJIrel8lk0Nvb+9DXaKewx7yIE8EnHv+E//jGnRv47vx3ww4rFK3juOb3hWROaXqtYON+0sIaQ87GfNDC2IXD+BHtjSs1LOc4Do4cORL6c04/cRp/fu3P/cepN1M4+2NnQ39uUOXaHpP6chxHdI9EyfhMbiOl2ZcGaT5Qjm35oImxk2PsiMyRyWQwODhY9Fw0GsXQ0BAAYHJyEiMjIzh16hSuXLmCyclJ/32lXqP7ynXM++nHfhqTr0/CRe7HIFNvpfDhIx8O/bkSmvN+zTly0Dml6bWCjftJC2sMORvzQQtjFw7jR1Sa6KTG8vIyLl++jNnZWWQyGQBAPB5HNBrFpz71KXziE594yCfcl06nkUqlAABXrlzBxYsX/SuiMpkMpqamkEgkkMlkMDQ0tK/X6D7P83D37l0cOnQo1ATm0dZH8cH4B/EPC/8AAPh/3/1/8T9/6H/GocZD5RrqvpRre0zqK9+P5PZTQcdnchspzb40SPOBcmzLB02MnRxjR1Qe5agxEolEye/QRCKB0dFRAMDAwMC+X6P7ynXM6zzUieSxJK7evAoAePXGq1i+t4z2A/q/SaI979ecIweZU5peK9i4n7SwxpCzMR+0MHbhMH5EpQW6/dRrr72GT33qU4jFYvid3/kdLC4u4qmnnsJTTz2Fjo4OzM7O4rOf/SwaGhrwuc99DsvLyw/9zFQqhXPnzuHcuXM4deoUTp8+7b82ODiIc+fOYWBgAAMDAzh79uy+XqNid+/eLcvn9D/R7/+9vr2Or7/79bJ8blDl2h6T+rp3756onWR8JreR0uxLgzQfKMe2fNDE2MkxdkRylagxqLLKdczre6LP/3vL3cJfv/PXZflcCa3juOb3hWROaXqtYON+0sIaQ87GfNDC2IXD+BHtbd8rNX7zN38Tly5dwvDwMCYnJ9HR0bHne7PZLCYmJtDT04OJiYk9r6pKp9O4cOECzp07ByB3RdTIyIh/ZVahRCLhr+h48PXC16iY4zjo7Owsy2c9e/xZtDW13f/B8LdSOP3E6Ye0Kq9ybo8pfTmOg46ODtHtp4KOz+Q2Upp9aZDmA+XYlg+aGDs5xo5IrhI1BlVWOY95P9714+g82In59XkAwCtvvoJfeOoX1OdBmvN+zTly0Dml6bWCjftJC2sMORvzQQtjFw7jR1TavlZqvPLKKwCAq1ev4uzZsyWLDSB339pz587hypUr+E//6T/t+b5kMomLFy/6j7PZLIDcMvNUKoV4PF70/ng87t+uaq/XqJjneVhdXS3LMtOmhib89Mmf9h9nljLIZHeegKqkcm6PKX15noc7d+6Ibj8VdHwmt5HS7EuDNB8ox7Z80MTYyTF2RDKVqjGossp5zHvwB8Ovr133b3erSXPerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhK29dKjdOnTxfdFmq/otEoLl++XPI9hfervXTpEvr6+hCNRv0THA9aWFgo+dqDNjY2sLGx4T/OL1d3XReu6z5kCyrDdV14nqfSv+d52NjYKNs9+D558pP4s9k/8x9PvzmNs+16t/4q9/aY0Jfrutjc3ITruoHvKRt0fCa3kdLsS4M0HyjHxnyo1e+LeqL5faGVD2Q+U/IhTP+VrDGosjY3N8v2WZ84+Qn8yff/xP/B8FfeegUf6vxQ2T5/v8q5TSb0AwBbW1uB20jGp9UmTDtT+9EkyQfKsTEftDB24TB+RHsT/VB4JWSzWUxNTWFmZuah7wvy2oULF/Diiy/ueH5ubg7r6+tBh1kWrutiaWkJnuchEgn0syZic3NzZfmcBjTgqcNP4fvL3wcAfPWNr6K/sx+HGw+X5fP3q1zbY0Jf+RNsc3NzonyQjM/kNlKafVVS2HygHJvyoVa/L+qRxveFdj6QuUzJh5WVlar1TdXhOA5isVjZPu/IoSP4yNGPIH0rt+r+G+99A//6w/8arQday9bHw5R7m6rdT76v9vb2wLefCjo+rTZh2pnajyZJPlCOjfmghbELh/EjKm3fJzX+8i//ct8f+slPfjLwQEZGRjA9PY1oNAogdwXWgysvFhYWEI1GS772oPPnz+OFF17wHy8vL+PkyZPo6upCe3t74HGWQ/4K7K6urooXofnlaq2trWWbwHx669P4D9/8D7nPh4fvbnwXP3/i58vy2Q9Tie2pdl/b29u4c+cOurq60NDQUNHxmdxGSrMvDdJ8oBzb8qHWvy/qhVbsNPOBzGdKPhw8eDBU+0rXGFR+lTjmnX78tH9SY9PdxNfe+Rp+MfGLZfns/dA6jmvPkdfW1kS3hTK1VrBxP2mR5APl2JgPWhi7cBg/otL2fVKj8DZRu8n/D7a0tBR4WePY2BhGRkaQSCT81RZ9fX0YHx/f8d7e3l4kEok9X3tQc3MzmpubdzwfiUSqWgA6jqMyBs/z/Cv4ynUQfO7Ec4h/L46F9dyJpS+/+WX8fOLnEXEqH89KbE+1+yrsJ0g+SMZnchspzb40SPOBcmzLB6C2vy/qhWbstPKBaoMJ+RC270rWGFQ529vbZf28jx79KOIHC+qLN76Mn39Kp77IK/c2VbsfQHZ7OMn4tNqEaWdqP5qqfbvCWmZjPmhh7MJh/Ij2tu9Z4sLCQsn/fuM3fgOe5+HJJ58MNICpqSkkk0n/hMbly5cRjUaRSCSK3pfJZNDb2/vQ16iY4ziIRqNl/UeWxkgjPvXEp/zHt+7cQvqmzo+0V2J7qt2X4zhoa2sL3I9kfCa3kdLsS4M0HyjHtnzQxNjJMXZEcpWqMahyKnHMa4g07KgvXrv1Wtk+/2E05/2ac+Sgc0rTawUb95MW1hhyNuaDFsYuHMaPqLTQl778+3//79HZ2YmxsTFcvHgRP/zhD/fdNpPJYHBwEP39/f694kZGRvzXJycnMTIygqmpKYyPj2NycnJfr9F9nudheXm57MtMP/n4J9EUafIf/8Ubf1HWz99Lpbanmn3llxQG7UcyPpPbSGn2pUGaD5RjWz5oYuzkGDui8gtTY1BlVbK+aIzcv5GAVn0B6M77NefIQeeUptcKNu4nLawx5GzMBy2MXTiMH1Fpoh8KX15exq//+q/j4sWLSCQSuHz5Mk6fPh34cxKJRMn/OROJBEZHRwHsXJpe6jWqvI7mDvzkiZ/E1975GgDg27e/jbdX3sbJtpPVHRgRERER1aRy1RhUmzqaO/CxRz6G//bufwMAfGvuW7i+eh0nWk9UeWREREREZJpAKzWWl5fxq7/6q4hGo0in07h8+TKuXLnCYsNgjuOgvb29IsvVfvapny16/OU3vlz2Ph5Uye2pVl+O44h++EkyPpPbSGn2pUGaD5RjWz5oYuzkGDuicFhj1JZKHvN+7qmfK3qsUV8AuvN+zTly0Dml6bWCjftJC2sMORvzQQtjFw7jR1Tavk9qfO5zn0MsFsM3v/lNpNNpfOUrX2GhUQM8z0M2m63IcrVERwIfiH/Af/zX7/w1Vu+tlr2fQpXcnmr15XkeVlZWRMuvg47P5DZSmn1pkOYD5diWD5oYOznGjkiONUbtqeQxrzvajaejT/uPv/b213B3627Z+3mQ5rxfc44cdE5peq1g437SwhpDzsZ80MLYhcP4EZW279tPjY+PI5FIIBqN4sKFCyXfe+nSpdADo/JpaGio2Gf/7JM/i+8tfA8AsLG9ga+98zX8YuIXK9YfUNntqVZfkYjs520k4zO5jZRmXxqk+UA5tuWDJsZOjrEjkmGNUZsqecz7Z0/+M3zhtS8AANa31/FX7/wV/tmT/6xi/eVpHcc1vy8kc0rTawUb95MW1hhyNuaDFsYuHMaPaG/7Pqlx7ty5So6DKsRxHLS1tVXs8589/iziB+NYWF8AAHz52pfxc0/+HBoilTnwVnp7qtGX4zhoaWkRLb8OOj6T20hp9qVBmg+UY1s+aGLs5Bg7IjnWGLWn0se8n3jkJ/AH3/0DLN1bAgB85Y2v4Gef+NmKzo005/2ac+Sgc0rTawUb95MW1hhyNuaDFsYuHMaPqLR9n9T4jd/4jUqOgyokv1wtGo1WZALTGGnEp574FP7o9T8CANy6ewvfeO8b+PijHy97X0Dlt6cafXmeh+XlZXR1dQVuF3R8JreR0uxLgzQfKMe2fNDE2MkxdkRyrDFqT6WPeU0NTeh7og9//IM/BgC8u/ou/u723+HHu3687H3lac77NefIQeeUptcKNu4nLawx5GzMBy2MXTiMH1FpXH9YB5qamir6+f1P9ONgw0H/8X/J/JeK3vOv0ttTjb4aG/d9frGIZHwmt5HS7EuDNB8ox7Z80MTYyTF2RFRPKn3M63uiDw3O/ZXff57584r2B+gdxzW/LyRzStNrBRv3kxbWGHI25oMWxi4cxo9ob/s6qfHKK6/gT/7kT0QdfO5znxO1o/JwHAetra0VPavbeqAVnzj5Cf/xtaVr+M78dyrSl8b2aPflOA4OHz4suv1U0PGZ3EZKsy8N0nygHNvyQRNjJ8fYEcmwxqhNGse8+ME4PnbiY/7jb819C28uv1mx/jTn/Zpz5KBzStNrBRv3kxbWGHI25oMWxi4cxo+otH2d1Dh9+jS+8pWv4Gd/9mfxrW99a18f/Md//Md45pln0NPTE2qAFI7neZifn6/oygkA+PnEzyNSkE5/OvunFelHa3s0+/I8D0tLS4H7kYzP5DZSmn1pkOYD5diWD5oYOznGjkiGNUZt0jrmfTrx6aLHf5b5s4r1pTnv15wjB51Tml4r2LiftLDGkLMxH7QwduEwfkSl7Xv94e/8zu9gamoKn/3sZ7G4uIje3l709/cjGo3675mdnUU6nUYqlUJfXx++8pWv4KmnnqrEuCmAQ4cOVbyPo4eP4idO/AS+fv3rAIDX5l7DW8tv4fH2x8vel8b2aPd14MABUTvJ+ExuI6XZlwZpPlCObfmgibGTY+yIZFhj1CaNY96THU/iR4/8KL59+9sAgL9592/wP7z/f0Dnoc6K9Kd1HNf8vpDMKU2vFWzcT1pYY8jZmA9aGLtwGD+ivQW6qeLAwAAGBgaQTqfxyiuv4NVXX0Umk/FfTyQS6Ovrw+XLl9HR0VH2wVJw+WWmGj7d/Wn/pAYA/GnmT/H5j3y+rH1obo9WX47j4NChQ6Ll10HHZ3IbKc2+NEjzgXJsywdNjJ0cY0cUDmuM2qJ5zPvFxC/6JzW2vW38xRt/gf/pg/9T2fvRnPdrzpGDzilNrxVs3E9aWGPI2ZgPWhi7cBg/otJEvxSVTCaRTCbLPRaqgPxytc7OzopPYBIdiYpfTaW5PVp9eZ6HxcVFdHV1BW4XdHwmt5HS7EuDNB8ox7Z80MTYyTF2ROXBGqM2aB7zfrzrx3Gy7STeXnkbADD95jT+5dP/EoebyvuPPJrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dU2r5+U4NqW0tLi1pfv5j4Rf/vbW8b//Xafy17H5rbo9WX9Oy7ZHwmt5HS7EsDr8YIx7Z80MTYyTF2RFRPtI55juMU/bbG3a27+OrbX61IX1rbpPl9IZlTml4r2LiftLDGkLMxH7QwduEwfkR740kNy2kvM/3xrh/HE21P+I+n35zG6r3Vsn2+5vZo9eU4Dpqbm0W3n5IsKTe1jZRtS6ml+UA5tuWDJsZOjrEjonqifcz7+KMfR+xgzH/88rWXseVulbUPzXm/5hw56JzS9FrBxv2khTWGnI35oIWxC4fxIyqNJzUs53kebt26Bc/zVPpzHAef7r5/NdX69jpevvZy2T5fc3u0+vI8DwsLC4H7kYzP5DZS2jleadJ8oBzb8kETYyfH2BFRPdE+5jVFmvBzT/6c//j23dtFv+NXDprzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUGk9q1AHtH1T8+ImP49jhY/7j/3rtv+LO5p2yfb7m9mj11draKmonGZ/JbaRs+9FQaT5Qjm35oImxk2PsiKieaB/z+p7ow8GGg/7jL/7wi3A9t6x9aG2TZuwkc0rTawUb95MW1hhyNuaDFsYuHMaPaG88qWG5aiwzbYg04F88/S/8x3e27uDLb3y5LJ+tuT1afTmOgwMHDoiWX0uWlJvaRsq2pdTSfKAc2/JBE2Mnx9gRUT2pxjGvpakFn3ryU/7jd1ffxZUbV8r2+Zrzfs05ctA5pem1go37SQtrDDkb80ELYxcO40dUWuiTGm+88QZee+01AMDy8nLYj6Myc10XN2/ehOuW90qmh/mpx34KRw4d8R//eebPcXfrbujP1dwerb5c18X8/HzgfiTjM7mNVLVyvFKk+UA5tuWDJsZOjrEjKj/WGOaq1jHvFxO/iKZIk//4T37wJ2W7JYfmvF9zjhx0Tml6rWDjftLCGkPOxnzQwtiFw/gRlSY+qXHt2jX09vZiaGgIg4ODAIDp6Wl87nOfK9vgKDzHcRCLxdTP7DZFmvCZ7s/4j1c2V5B6MxX6czW3R6svx3HQ3t4uulIp6PhMbiNVrRyvFGk+UI5t+aCJsZNj7IjKhzWG+ap1zOto7sDpx0/7j99YfgOvzb1Wls/WnPdrzpGDzilNrxVs3E9aWGPI2ZgPWhi7cBg/otLEJzXOnDmDsbExfOUrX/GvkPnsZz+LVCr8P1xT+VRzmeknTn4CseaY//hPZ/8U97bvhfpMze3R6stxHDQ1NYkm9ZIl5aa2kbJtKbU0HyjHtnzQxNjJMXZE5cMaw3zVPOZ9uvvTaHQa/cflWq2hOe/XnCMHnVOaXivYuJ+0sMaQszEftDB24TB+RKWJT2rMzs7ik5/8JAAU/Q82Pz8fflRUNq7r4saNG1VZrtbU0IRPd3/af7x0bwl/+dZfhvpMze3R6st1Xdy+fVu0/Dro+ExuI1XNHK8EaT5Qjm35oImxk2PsiMqHNYb5qnnMO3LoCH765E/7j7+/+H18d/67oT9Xc96vOUcOOqc0vVawcT9pYY0hZ2M+aGHswmH8iEoTn9To7e3Fb/3WbxU9d/HiRfT19YUeFJWP4zjo7Oys2pndvif60H6g3X/8xdkvhlqtobk9Wn05joNoNCq6Uino+ExuI1XtHC83aT5Qjm35oImxk2PsiMqHNYb5qn3M++fd/xyRgjL2T37wJ6E/U3PerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhKE5/UmJycxB/+4R+is7MTs7OzOHXqFMbGxvDSSy+Vc3wUUrWXmTY3NBet1lhcX8RX3vyK+PM0t0erL8dx0NjYKJrUS5aUm9pGqto5Xm7SfKAc2/JBE2Mnx9gRlQ9rDPNV+5h3vOU4fvLRn/Qf//383+P1hddDfabmvF9zjhx0Tml6rWDjftLCGkPOxnzQwtiFw/gRlSY+qdHR0YGrV6/i8uXLGB8fx6/+6q/iBz/4Adrb2x/emNS4rovr169Xdbnap574FDoOdPiPv/jDL+Lu1l3RZ2luj1Zfrutibm5OtPw66PhMbiNlQo6XkzQfKMe2fNDE2MkxdkTlwxrDfCYc8z7z9Gfg4P4/8kx+fzLU52nO+zXnyEHnlKbXCjbuJy2sMeRszActjF04jB9RaeKTGsvLy1heXsbp06dx9uxZfPazn8Ubb7yB5eXlco6PQopEIjh27BgiEfGuDu1g40H8i6f/hf945d4K/uLaX4g+S3N7tPqKRCKIx+OB+5GMz+Q2UibkeDlJ84FybMsHTYydHGNHVD6sMcxnwjHvZNtJfOzEx/zH3779bXxn/jviz9Oc92vOkYPOKU2vFWzcT1pYY8jZmA9aGLtwGD+i0sT/Z5w9exapVKrouenpaYyMjIQeFJWXCUvV+p/oR/xg3H/8p5k/xdrmmuizNLdHqy9pP5J2JreRMiHHy8m27dHG+MkxdnKMHVF5sMaoDSYc8wbeN1D02xqXX78Mz/PEn2f6vF+rL5PbhGlnaj+abNwmLYydHGMXDuNHtDfxSY1UKoVf+qVfKnpucHAQly9fDj0oKh/XdXHjxo2qL1dramjCZ5/5rP94bXMNfzb7Z4E/R3N7tPpyXRfz8/Oi5ddBx2dyGylTcrxcpPlAObblgybGTo6xIyof1hjmM+WY92jro0W/rfG9he/h727/neizNOf9mnPkoHNK02sFG/eTFtYYcjbmgxbGLhzGj6g08UkNz/OwsrJS9Fw0Gg11dQyVXyQSwfHjx41YrvYzJ38GRw8f9R+/fO1lLG0sBfoMze3R6isSiaCzs1O0/Dro+ExuI2VSjpeDNB8ox7Z80MTYyTF2ROXDGsN8Jh3zyrVaQ3PerzlHDjqnNL1WsHE/aWGNIWdjPmhh7MJh/IhKE/+f0dfXt2MZ+Pnz59HX1xd6UFRephSBjZFGDL5v0H+8vr2O/zL7XwJ/jub2aPUl7UfSzuQ2UqbkeLnYtj3aGD85xk6OsSMqD9YYtcGUY97xluP4mZM/4z/+YfaHSN9Kiz7L9Hm/Vl8mtwnTztR+NNm4TVoYOznGLhzGj2hv4pMaFy9exDe+8Q10dnbi1KlT6OzsRCqVwksvvVTO8VFIruvi5s2bxixX+yeP/hM82vqo//jLb3wZc3fm9t1ec3u0+nJdFwsLC6Ll10HHZ3IbKdNyPCxpPlCObfmgibGTY+yIyoc1hvlMO+b90jO/hEan0X98+fXLcL3Kz6sltOfIQeeUptcKNu4nLawx5GzMBy2MXTiMH1FpjhfytF8qlcK1a9eQ+P+zd+/xbRV33vg/R5Kvsi1Zlp2rc3ESAgWK4/hC0pbSkrZs0t1sCXgvT7t4Ywy7ddo+Dzwt2708bXe7Dwtbuv21Di2seUp6x0maZi9uC4G0UEJi56JCICQkJhfnZku2JEu2ZUvn/P5QJGxsyTqj4/Fo9H2/XnmBZY1n5nu+PprxnDmnqgp33HGHUe2aNX6/HzabDT6fDyUlJXPSBlVV0dfXh4qKiqzcRnbo8iF888g3419/aNGHsG3Ntjls0dzK9nwgk1E+kIkoH8hElA9kIlHyYbbG1jTH0E+UnJgLT7/+NJ4791z86y/UfAHrF66fwxbNvWzOBzIV5QOZiPKBTET5QCYSIR9SHVdbEn5nBqtWrcK+fftoK7jgNE1DOByGxWKBoihz3RwAQP38eqyyr8Lb3rcBAC9ffBmbqjZhuW35jGV59odXXbF69K4vsrRP5DKsRMzxdLDmA4mSLR94otixo9gRYhyaY4hPxHPep1Z9Cvsv7Me4Og4A+NlbP0Pd/DrkmHJSKs973M9zjKxnTCn6XEHG48QLzTHYyZgPvFDs0kPxIyQ55iWXu+66C9/73veMbAuZBZqmwePxCDV4URQFn37fpye99uMTP06pjTz7w6suTdPg9XqZFjX0tk/kMqxEzPF0sOYDiZItH3ii2LGj2BFiHJpjiE/Ec54j34E/WP4H8a+vDl/FC+dfSLk8z3E/zzGy3jGl6HMFGY8TLzTHYCdjPvBCsUsPxY+Q5Jh3anz84x/HPffcg2PHjuHuu++Gw+GIf++uu+4ypHEkfSaTCfPnz5/rZkxxveN61M2rQ/fVbgDA6+7X8fv+36O6ojppOZ794VWXyWSC0+nUva2LpX0il2Elao6zYs0HEiVbPvBEsWNHsSPEODTHEJ+o57zNKzbjxfMvIjAeAADsPrUbty26DYU5hTOW5Tnu5zlG1jumFH2uIONx4oXmGOxkzAdeKHbpofgRkhzzosajjz6KqqoquN3uSVdTKYpCEw6BaJqG8fFx5OTkCLdd7c9v+HMcuXoEKqIPPfrJiZ/g/eXvh0lJPNDi2R9edcXqYblSSW/7RC7DSuQcZ8GaDyRKtnzgiWLHjmJHiHFojiE+Uc95RblF+OOVf4wfnfgRAMA/5sd/9fwXGlc3zliW97if5xhZ7w4KkecKMh4nXmiOwU7GfOCFYpceih8hyTEv0z/33HM4fPgwDh8+jBdffDH+/93d3Ua2j6RJ0zQMDg4KOXhZWLQQdyx998GP54bO4aXel5KW4dkfXnVpmga/38+0qKG3fSKXYSVyjrNgzQcSJVs+8ESxY0exI8Q4NMcQn8jnvDuX3QlngTP+9X/1/BcGRwdnLMdz3M9zjKx3TCn6XEHG48QLzTHYyZgPvFDs0kPxIyS5tPYetre3o6ysDKWlpSgrK8Pjjz9uVLuIQUwmE+bNmyfsNtN7rrsH+eb8+Nc/e+tnGAmPJHw/z/7wqstkMqGsrIzp9lN62ydyGVai57herPlAomTLB54oduwodoQYi+YYYhP5nJdjzsGfrP6T+NehSAi7Tu2asRzPcT/PMbLeMaXocwUZjxMvNMdgJ2M+8EKxSw/Fj5DkmH8z/v3f/x3f+973sG/fPgwMDODZZ5/Fd7/7XZp0CEbTNIRCIWFXdm15NmxeuTn+9WBoEHtP7034fp794VWXpmkYGxtjulJJb/tELsNK9BzXizUfSJRs+cATxY4dxY4Q49AcQ3yin/M+uOiDWFqyNP71i+dfRO9Qb9IyPMf9PMfIeseUos8VZDxOvNAcg52M+cALxS49FD9CkmNe1Hjsscfw4osvYs2aNbDZbNiwYQOee+65Sfe+JWLw+Xxz3YSkPln1ySnbxK8GryZ8P8/+8KorEAgwlWNpn8hlWIme43qx5gOJki0feKLYsaPYEWIMmmNkBpHPeSbFhD+//s/jX6tQ8cM3fzhjOV594hk7ljGl6HMFGY8TLzTHYCdjPvBCsUsPxY+QxJgXNTweD0pKSia9VlVVBY/Hk3ajiHEURUFFRYXQDxXKNefi0zd8Ov71uDoef8Dfe/HsD6+6FEWBw+HQXQ9L+0QuwyoTclwP1nwgUbLlA08UO3YUO0KMQ3MM8WXCOe+W8ltwS/kt8a9d/S4c6zuW8P08x/08x8h6x5SizxVkPE680ByDnYz5wAvFLj0UP0KSY17U2LBhw5Rt4F/+8pexYcOGtBtFjKNpGkZGRoTfrnbrgltxg+OG+NddV7rwev/rU97Hsz+86kpn+7Xe9olchlWm5HiqaItpemTLB54oduwodoQYh+YY4suEc56iKPjM+z4D04Tp7g/e+AHCanja9/Mc9/McI7PcFkrkuYKMx4kXmmOwkzEfeKHYpYfiR0hyaT1T47vf/S5WrVqFP/mTP8HKlSuxa9cutLe3G9k+YoBgMDjXTZiRoihourEJCt4Qrjt+AACsyElEQVRdgd7x5g5E1MiU9/LsD6+6hoeHmcqxtE/kMqwyIcf1YM0HEiVbPvBEsWNHsSPEGDTHyAyZcM6rLK7Ex5d9PP71peAl/PrsrxO+n1efeMaOZUwp+lxBxuPEC80x2MmYD7xQ7NJD8SMkMeZFDZvNhtOnT+Nf/uVfUFtbi0cffRRvv/32lO3iZG4pigKn05kR29WW2ZbhjiV3xL++MHQBz59/ftJ7ePaHV12KoqC0tJRp+7Xe9olchlUm5XgqWPOBRMmWDzxR7NhR7AgxDs0xxJdJ57x7rrsHRTlF8a93ndoFX2jq/cl5jvt5jpH1jilFnyvIeJx4oTkGOxnzgReKXXoofoQkl/KihtlsnvLaz3/+c2zZsgVf/OIXsWXLFkMbRoyhaRqGh4czZrta4+pGFFoK418/+9azkyYePPvDq650tl/rbZ/IZVhlWo7PhLaYpke2fOCJYseOYkcIO5pjZJ5MOucV5RbhntX3xL8eDg9j56mdU97Hc9zPc4zMclsokecKMh4nXmiOwU7GfOCFYpceih8hyaW8qDHdL1FLS4uhjSGzY2RkZK6bkDJbng33XDd54vHDN3846T08+8OrrrGxMaZyLO0TuQyrTMrxVLDmA4mSLR94otixo9gRwobmGJkpk855H1vyMSwuWhz/+oVzL+Cs7+yU9/HqE8/YsYwpRZ8ryHiceKE5BjsZ84EXil16KH6EJJbyosZ0251otVB8iqKgrKwso7arfWLZJ7C0ZGn865cvvow3PG8A4NsfXnUpigKbzca0/Vpv+0QuwyoTczwZ1nwgUbLlA08UO3YUO0LY0Rwj82TaOc9sMuMvbvyL+NcqVDx9/Gmomhp/jee4n+cYWe+YUvS5gozHiReaY7CTMR94odilh+JHSHLMz9QApp+EELFomoZAIJBRk0OzyYzmm5onvfb0609jXB3n2h9edaWz/Vpv+0QuwyoTczwZ2mKaHtnygSeKHTuKHSHGojmG2DLxnHdL+S2om1cX//rU4Cn89sJv41/zHPfzHCOz3BZK5LmCjMeJF5pjsJMxH3ih2KWH4kdIcpa5bgCZfePj43PdBN1WO1bjjiV34IXzLwAAeod68c3d30ThlUL09/ejvLwcdXV1aGhomNWJL6/YhcNhpnIs7RO5DKtMzPFkWPOBRMmWDzxR7NhR7Agh2SQTz3n33ngvXnO/hlAkBAD48Ykfo3Z+LYpziwHw6xPP2LGMKUWfK8h4nHihOQY7GfOBF4pdeih+hCSW8qKGpmmoq6ub9Nrg4OCU1wCgu7s7/ZYRQyiKgtLS0rluBpM/u/7PcPDiQbze+TpOd57Gzp6pD/Wrrq5Ga2srmpqaYLEYu0bHK3aKoqCkpIRp+7Xe9olchlUm5/h0WPOBRMmWDzxR7NhR7AhhR3OMzJOp57zywnLcteou/PStnwIAhsaH8LO3foaW97dwHffzHCPrHVOKPleQ8TjxQnMMdjLmAy8Uu/RQ/AhJLuW/An/pS1+C1+ud9NratWuNbg8xWGy7WlFRUcYNYEzjJrz5r2/i8P7DAIA8RcF6qxWlZjMGIxEcCAbhcrnQ0tKCPXv2oKOjA1ar1bD6ecVO0zQEg0Hm7dd62idyGVaZnOPTYc0HEiVbPvBEsWNHsSOEHc0xMk8mn/M2VW3CS70v4WLgIgBg37l9sF+x48rJK/B4PCgrK5vV3eC8x8h6x5SizxV4zs8yNccToTkGOxnzgReKXXoofoQkl/Kixr/8y7/MZjvILIpEInPdBN3C4TAaGxtxaP8h5CsKWp1ObLHZYTeb4+/xRiLY7fOize1GZ2cnGhsbsXfvXkN3bPCKnaqqM79pGiztE7kMq0zM8WRY84FEyZYPPFHs2FHsCGEzG3OMo0ePoqWlBUeOHJnyOgDU1NSgp6cHXq8XNTU1AICenh7s2rULVVVV6Onpwf333w+73W5422SRqee8HFMOmm9qxldf+SrO7juL052n0dHTMeV9s7kbnGfsWMaUos8VeMUvU3M8GZpjsJMxH3ih2KWH4kdIYmk9KJyIT1EU2O32jFvVfeaZZ9DZ2Yl8RUH74ko0O8omLWgAgN1sRrOjDO2LK5GnKOjs7MSOHTsMawOv2CmKguLiYqbbT+ltn8hlWGVqjifCmg8kSrZ84Ilix45iR4g4du3aBeDdBYyJnnzySaxduxaKouCBBx5AVVVV/Hv33HMPvvSlL+Huu+/G3XffjZaWFm5tzjSZfs5bVrAsuhu87TC8PV7kKQo+UlSEu2w2fKSoCHmKEt8NvnnzZgSDQcPq5j1G1jumFH2uwHN+lsk5Ph2aY7CTMR94odilh+JHSHK0qCE5TdPg9/szapuppmnYvn07AKDV6URNYWHS968tLMQ2pxMA0NbWZlhfecUutqWQ5fZTetsnchlWmZjjybDmA4mSLR94otixo9gRIo677747vvvivdauXYvBwUEMDg7i+eefj+/E6OnpmfS+qqoq7Nu3b7abmrEy+ZwX2w3+5itvIl9R8FB5OfavWIntixbj6/MXYPuixdi/YiUeKi+PXzTV2Nho2AOWeY+R9Y4pRZ8r8JyfZWqOJ0JzDHYy5gMvFLv0UPwISY4WNYhwDh06BJfLhTxFwRabPaUyW2z2+FVVXV1ds9tAQgghhBCSkex2+5TbSu3btw8Oh2PSaw6HY9rdHiSzibAbnBBCCCGEpM/YG4QS4SiKgpKSkrluhi6HD0cfDL7eap0yyUjEbjZjvdWK/YEAuru70dDQkHY7eMVOURSmBz+xtE/kMqwyMceTYc0HEiVbPvBEsWNHsSMkM3i93vjtqbq7u+O3oHrvg8pjBgYGEv6sUCiEUCgU/9rv9wOI3rN+ru5br6oqNE3jUn9RURE0Tcuoq0dZd4M/3t+PtrY2NDU1GTI+4xU7TdNgtVp15wRL+3iVSaecXpmY48mw5gOJki0f6PMic/CIH898IOITIR9SrZsWNSSnaRp8Ph9sNlvG/JF0aGgIAFCa4oJGjN1knlQ+Xbxip2kahoaGUF5erruc3vaJXIZVJuZ4Mqz5QKJkyweeKHbsKHaEZIaJD/+uqqrCxz72MZw5cybh+xMtdgDAI488gq997WtTXu/v78fo6Gi6TWWiqip8Ph80TYPJNHsb8mO3scm0izCOHDnCtBu8ze2Gy+XCr3/964S3NksVz9hFIhFcvnwZqqrCnOK8iqV9vMqkU06vTM3xZFjygUTJmA/0eZEZeMWPVz6QzCBCPqT6d11a1MgCmTZoKS4uBgAMRiK6ynnVyKTyRuAVO9YTBUv7RC7DKtNyfCY0kEiPbPnAE8WOHcWOEPH19PTE/yhdVVWFnp4e9PT0wG63T9mVMTAwMOU2VRN9+ctfxoMPPhj/2u/3o7KyEuXl5XO2c0tVVSiKgvLy8ln/I1VhYWHG/ZEq9uwU1t3gZ86cwZ133plWG3jGLhKJYGRkBBUVFboWNfS2j1eZdMrplak5ngxLPpAoGfOBPi8yA6/48coHkhlEyIf8/PyU3keLGpJTFMXQP/LzUFtbCwA4EAzCG4mkNOnwRiI4EAwCAOrq6gxpB6/YKYoCq9XKdPspve0TuQyrTMzxZFjzgUTJlg88UezYUewIEd/Ro0dxxx13YHBwcNLrDocDGzZswJNPPjmlTGxMOp28vDzk5eVNed1kMs3pHwQUReHSBpvNNqs/fzYEAgEA7LvBA4GAIXHlGbuioiKYzWZd7WZpH68y6ZQTtR6eWPKBRMmYD/R5kRl4xY9XPpDMMNf5kGq9c56tR48exdq1a6d9PfZwvp6enkkP6uvp6cFjjz2GXbt24bHHHku6NTzbaZqGwcHBjLp/YUNDA6qrqxHSNOz2eVMqs9vnRUjTsGbNGtTX1xvSDl6x0zQNfr9fdz0s7RO5DKtMzPFkWPOBRMmWDzxR7NhR7AgR08Q5QlVVFR599NH41/v27cPdd98Nu92OqqqqSeV6enpQW1ubdKdGNsvUc54Iu8F5j5H1jilFnyvwnJ9lYo4nQ3MMdjLmAy8Uu/RQ/AhJbk53auzatQtVVVWTFixinnzySTz11FMAgA0bNmDnzp3x791zzz04cuQIgOiko6WlZdL3yWQ5OTlz3QRdFEVBa2srWlpa0OZ2Y01+QdIH+R0ZHkab2w0AaG1tNfQKd16xs1jYfhVZ2idyGVaZluMzYc0HEiVbPvBEsWNHsSNEDPv27cPzzz8PIPrci7q6uvjiRW1tLR577DHY7XacOXNm0vxh586dePjhh1FXV4fu7m6aW8wgE895ouwG5xk7ljGl6HMFXvHLxByfCc0x2MmYD7xQ7NJD8SMkMUUTYMlPUZQpK49PPfUUGhsbAWDSVVI9PT2TFjUAoLS0dMpW8kT8fj9sNht8Pt+c3u+2r68PFRUVtLUrgXA4jM2bN6OzsxN5ioJtTie22OyTJh/eSAS7vV60edwIaRoq6ytx7MVjKLOWzWHL9aN8IBNRPpCJKB/IRJQPZCJR8kGEsbUIRIiDKDkhKk3TUFNTA5fLhYfKy9HsmHnO8PSAB4/392PNmjU4cuRIRt0elPKBTET5QCaifCATUT6QiUTIh1TH1UJnq91un7Lte9++fXA4HJNeczgc0+72INHBu8fjybjtahaLBR0dHdi4cSNCmobH+/vxkTOn0XqxF393+TJaL/bi9jOn8bi7HyFNw4LaBaj7Yh2+/+b3Desrr9hpmgafz8e0/Vpv+0QuwypTczwR1nwgUbLlA08UO3YUO0JINsnUc15sNzgAtLndODo8nPT9s7EbnPcYWe+YUvS5As/5WSbmeDI0x2AnYz7wQrFLD8WPkOSE3X/o9Xqxa9cuAEB3dzceeOABVFVVJXx+xsDAwLSvh0IhhEKh+Nd+vx9AdOVJVVVjG50iVVWhaRqX+jVNQ15eXvzp9ZmkoKAAe/bswY4dO/DEE0/A5XJh/7UH/MXccsstmP/x+SheXwyT2YTuK9347YXf4rbFt6VdP6/YqaqK3Nxc3fWwtE/kMqwyOcenw5oPJErGfKDPC/Hx/LzglQ9EfKLkw1zXT+ZGQUHBXDeBSVNTE/bs2YPOzk40915IaTf46g+sxl/8xV8Y1gaescvNzdVdhqV9vMqkU07UenhiyQcSJWM+8EKxSw/Fj5DEhF3UuP/+++O7NKqqqvCxj30MZ86cSfj+RIsdjzzyCL72ta9Neb2/vx+jo6NGNFU3VVXjV0nw2soTeM9iQCb5wz/8Q3zyk5/EsWPH4HK5EAgEUFRUhOrqaqxZswYXhy/i0dcfxXh4HADwlOspOFUnnPlOQ+qf7dipqorR0VH09/cz5QNL+0QuwyqTc3yidPOBRMmUD/R5kTl4fF7wzgciLlHyYWhoaM7qJnNDURQUJnnenchiu8EbGxvR2dmJx/v70eZ2Y73VCrvJDK8awSvBIMauXRW7oHYBbvyfN+Llyy/jo0s+mnb9PGOnKAoKCgp0LbaztI9XmXTKiVoPTyz5QKJkzAdeKHbpofgRkpywixo9PT2oqakBEF3U6OnpQU9PD+x2+5RdGQMDA1NuUxXz5S9/GQ8++GD8a7/fj8rKSpSXl8/p/W4VRUF5efmsT0Jj29XKysoyfgBz55134hOf+MSU/szDPPxp5E/RcbIDABBBBD+58BN8dd1XYTGxpziv2EUiEfh8PpSXl8OcwgML02mfyGVYyZTjAHs+kCjZ8oE+LzIDr9jxzAciPlHyIT8/f87qJnMj0z8vrFYr9u7dix07dqCtrW3a3eA3vv9GFN1ehMqPVsJkNmHHGztwk/MmVBRWpFU37zHy4OAgysvLdZURea7AK36ZnuPTYckHEiVjPvBCsUsPxY+Q5IRc1Dh69CjuuOOOKQ//djgc2LBhA5588skpZWpra6f9WXl5ecjLy5vyuslkmtMJoKIoXNqgaRqKi4thMpmkOAkm6s8fr/xjvO5+HScGTgAAzvjOYOfbO/E/bvgfhtdlNE3TUFhYqDsfWNonchlWMuY4Sz6QKNnyAaDPi0zAM3a88oFkBhHygXIxO1mt1rluQlosFguam5uxdetWdHV1oaurC4ODgygtLUV9fT3q6+vxXz3/hR+d+BEAYDQyiu8c+w6+uu6rMJvSu+iEZ+xYrvBlaR+vMumUE7UenuiKb3Yy5gMvFLv0UPwISUyYRQ2v1zvpdlOPPvpo/Hv79u3D3XffPe2Dw3t6elBbW5twp0a2i20zlUWi/phNZmxbsw0Pv/QwAuPRK63+48x/4CbnTbil/BZD6zKaoijIy8vT/YcwlvaJXIaVjDnOkg8kSrZ84Ilix45iRwjJJjKd8xRFQUNDAxoaGqZ8b1PVJhy+ehhvDbwFADg1eAq7Tu3Cn1z/J2nVx3OMrHdMKfpcgef8TJYcj6E5BjsZ84EXil16KH6EJDenl1bt27cPDz/8MIDosy9iDwa32+2ora3FY489hqeeegrd3d3YuXNnvNzOnTvx8MMPY9euXXjyyScnfY9Mpmka+vr6oF27L2ymS9YfZ4ETf3XLX016bfux7fCFfIbXZSRN0zAwMKC7Hpb2iVyGlYw5zpIPJEq2fOCJYseOYkcIySYynvOm65NJMaG1uhWFlnevbt9zeg/e8LxhaD2zhWVMKfpcgef8TMYcpzkGGxnzgReKXXoofoQkp2hZ9tvh9/ths9ng8/nm9JkafX19qKio4HI7kbGxMeTm5kpxVUYq/fl/x/8ffn321/Gvbym/BX9T/zcwKfpizSt2kUgEFy9exKJFi3Q/U0Nv+0Quw0q2HGfNBxIlWz7Q50Vm4BU7nvlAxCdKPogwthaBCHHglRMyfl4k69Orl17Ft45+K/61I9+Bx257DMW5xYbWYzSWMaXocwVe8ZMxx2mOwU7GfKDPi8xAcwwyF0TIh1TH1ZStkpNtm2kq/fnMDZ/B0uKl8a9/3/97/HfPf89KXUZQFIXpQ4p1S7moZVjJmOM06GMnWz7wRLFjR7EjhGQTGc95yfq0buE6fLTyo/GvB0YH8L3ff4/pylneY2S9Y0rR5wo852cy5jjNMdjImA+8UOzSQ/EjJDla1JCcqqq4evUqVFWd66YYIpX+5Jhz8PmazyPP/O4D4n/61k9xcuCk4XUZQVVVeDwe3fWwtE/kMqxkzHGWfCBRsuUDTxQ7dhQ7Qkg2kfGcN1Of7r3xXiwqWhT/+vDVw3ju3HOG12MkljGl6HMFnvMzGXOc5hhsZMwHXih26aH4EZIcLWpITlEUlJaWSrOym2p/FhcvRtONTfGvI1oE3zr6LV3P1+AVO0VRUFJSwnSlkt72iVyGlYw5zpIPJEq2fOCJYseOYkcIySYynvNm6lO+JR+fX/N5WEyW+Gs/fPOHOOc/Z2g9RmIZU4o+V+A5P5Mxx2mOwUbGfOCFYpceih8hydGihuRk22aqpz8fqfwIPrDwA/GvB0YH8P8d/f8QUSOG15UORVGQk5PDNKhn2VIuahlWMuY4Sz6QKNnygSeKHTuKHSEkm8h4zkulT8tsy/CZGz4T/3pcHce/Hfk3DI8PG1qPUVjGlKLPFXjOz2TMcZpjsJExH3ih2KWH4kdIcrSoITlVVXHlyhVptqvp6Y+iKLj//fdjcdHi+GtveN7Az07+zPC60qGqKtxuN9P2a73tE7kMKxlznCUfSJRs+cATxY4dxY4Qkk1kPOel2qdPLPsEaipq4l9fDl7G915L/fkavMfIeseUos8VeM7PZMxxmmOwkTEfeKHYpYfiR0hytKghOUVRUFZWJs3Krt7+5Fvy8b9r/zfyzfnx1/7jzH+g63KX4XWxUhQFdrud6Uolve0TuQwrGXOcJR9IlGz5wBPFjh3FjhCSTWQ856XaJ0VR8Nnqz8JZ4Iy/dujyIXS+02loPUZgGVOKPlfgOT+TMcdpjsFGxnzghWKXHoofIcnRoobkZNtmytKfBUUL0FrdOum17a7tuBy4bHhdLBRFgcViYRrUs2wpF7UMKxlznCUfSJRs+cATxY4dxY4Qkk1kPOfp6VNxbjEeXPvgpOdr/OjNH+GE54Sh9aSLZUwp+lyB5/xMxhynOQYbGfOBF4pdeih+hCRHixqSU1UVly5dkma7Gmt/6hfU449W/FH869HIKL5x+BsYDY8aXpdeqqqiv7+fafu13vaJXIaVjDnOkg8kSrZ84Ilix45iRwjJJjKe8/T2aYV9Bf7yxr98tzxUfOvot+Ad9RpaTzpYxpSizxV4zs9kzHGaY7CRMR94odilh+JHSHK0qCE5k8mEefPmwWSS41Cn058/Xf2nuLHsxvjXvYFePPH7J6Bq039A8IqdyWSCw+HQXQ9L+0Quw0rGHGfJBxIlWz7wRLFjR7EjhGQTGc95LH26Y8kd+PDiD8e/9oa8+NbRbyGiRgythxXLmFL0uQLP+ZmMOU5zDDYy5gMvFLv0UPwISY5+M7KAbFvVWPtjNpnxhZovoDS/NP7aocuHsPvt3YbXpRdrPSzlRC7DinKcTETxY0exY0exI4RkExnPeSy3Qmq+uRlLi5fGXzsxcAI/feunhtaTDpHH/TznPyLXw5OMfeKFYseOYpceih8hidGihuRUVcWVK1ek2a6Wbn9seTY8tPYh5Jhy4q/tOrULr1561fC6UqWqKjweD9P2a73tE7kMKxlznCUfSJRs+cATxY4dxY4Qkk1kPOex9inPnIcHax9EgaUg/tp/9vwnXup9ydB6WLCMKUWfK/Ccn8mY4zTHYCNjPvBCsUsPxY+Q5GhRQ3Imkwnz58+XZruaEf1ZVboK97///kmvPeF6Au/43jG8rlSYTCaUlZUxbb/W2z6Ry7CSMcdZ8oFEyZYPPFHs2FHsCCHZRMZzXjp9mm+dj9bq1kmvPfXaUzg9eNrQevRiGVOKPlfgOT+TMcdpjsFGxnzghWKXHoofIcnRb0YW0DRtrptgKCP6c9vi2yY9OHxMHcNj3Y/BO+qFpmk4ePAg2tra8Mgjj6CtrQ0HDx6c1Tiy/myWciKXYUU5Tiai+LGj2LGj2BFCsomM57x0+lQ3vw53X3d3/OtxdRzfOPwNeEY8htajl8jjfp7zH5Hr4UnGPvFCsWNHsUsPxY+QxGhRQ3KqquLq1avSbFczsj9/dv2foaaiJv61O+jG//jK/8CamjVYt24dPve5z+Hv//7v8bnPfQ7r1q1DTU0N2tvbEQ6H0657IlVVMTAwwLT9Wm8sRC7DSsYcZ8kHEiVbPvBEsWNHsSOEZBMZz3lG9GnLqi1omN8Q/3owNIjHDz+OsciYofWkimVMKfpcgVf8ZM1xmmOwkTEfeKHYpYfiR0hyipZly35+vx82mw0+nw8lJSVz0gZVVdHX14eKigraRjbHhseH8Q+v/APOus/i1UdfxeXDlwEAeYqC9VYrSs1mDEYiOBAMInTtV2Xjxo3o6OiA1Wo1pA2UD2QiygcyEeUDmYjygUwkSj6IMLYWgQhxECUnstloeBT/58D/wTn/ufhrH1j4AWyr3oauri4cPnwYQ0NDKC4uRm1tLRoaGmbtIbCUD2QiygcyEeUDmYjygUwkQj6kOq62cGwTmQOapiEcDsNisczagJkno/tTmFOIB9c8iFs/disuH76MfEVBq9OJLTY77GZz/H3eSAS7fV60ud3o7OxEY2Mj9u7dC4sl/V+hWJ/0ri+yxELkMqxkzfEsW282jGz5wBPFjh3FjhCSTWQ85xnVp3xLPr5U9yX87ct/C9+YD2pExQ+//0N864Vv4Z0T70x5f3V1NVpbW9HU1GTIvGIiljGl6HMFXrknc47THEM/GfOBF4pdeih+hCRHS3CS0zQNHo9HmsHLbPTnlzt/id7uXuQrCtoXV6LZUTZpQQMA7GYzmh1laF9ciTxFQWdnJ3bs2GFI/Zqmwev1Mi1q6I2FyGVYyZjjLPlAomTLB54oduwodoSQbCLjOc/IPjkLnHio9iEgBLzy9VdwuO0w3jnxDvIUBR8pKsJdNhs+UlSEPEWBy+VCS0sLNm/ejGAwaEBP3sUyphR9rsAr92TNcZpjsJExH3ih2KWH4kdIcrSoITmTyYT58+dLs4XM6P5omobt27cDAFqdTtQUFiZ9/9rCQmxzOgEAbW1thny4mEwmOJ1O3X1iiYXIZVjJmOMs+UCiZMsHnih27Ch2hJBsIuM5z+g+rShZgXPbz8V3gj9UXo79K1Zi+6LF+Pr8Bdi+aDH2r1iJh8rL4xdMNTY2GvrsPpYxpehzBV65J2uO0xyDjYz5wAvFLj0UP0KSo98MyWmahrGxMWlWdo3uz6FDh+ByuZCnKNhis6dUZovNHr+yqqurK+02aJqG8fFxpiuV9MZC5DKsZMxxlnwgUbLlA08UO3YUO0JINpHxnGd0n5555hkc2n9oznaCA2xjStHnCrxyT9YcpzkGGxnzgReKXXoofoQkR4saktM0DYODg9KcBI3uz+HDhwEA663WKRONROxmM9Zfe0h4d3d32m3QNA1+v59pUK83FiKXYSVjjrPkA4mSLR94otixo9gRQrKJjOc8I/skwk7wWDv0jilFnyvwyj1Zc5zmGGxkzAdeKHbpofgRkhwtakjOZDJh3rx50mxXM7o/Q0NDAIDSFBc0Yuwm86Ty6TCZTCgrK2Pafq03FiKXYSVjjrPkA4mSLR94otixo9gRQrKJjOc8I/skwk5wgG1MKfpcgVfuyZrjNMdgI2M+8EKxSw/Fj5Dk6DdDcpqmIRQKSbOya3R/iouLAQCDkYiucl41Mql8OtLZfq03FiKXYSVjjtMWU3ay5QNPFDt2FDtCSDaR8ZxnZJ9E2AkOsN8WSuS5Aq/ckzXHaY7BRsZ84IVilx6KHyHJ0aJGFvD5fHPdBEMZ2Z/a2loAwIFgEN4UFza8kQgOBIMAgLq6OkPaEQgEmMqxxELkMqxky3HWfCBRsuUDTxQ7dhQ7Qkg2kfGcZ1SfRNgJHsMyphR9rsAr92TMcZpjsJMxH3ih2KWH4kdIYrSoITlFUVBRUQFFUea6KYYwuj8NDQ2orq5GSNOw2+dNqcxunxchTcOaNWtQX1+fdhsURYHD4dDdJ5ZYiFyGlYw5zpIPJEq2fOCJYseOYkcIySYynvOM7JMIO8EBtjGl6HMFXrkna47THIONjPnAC8UuPRQ/QpKjRQ3JaZqGkZERabarGd0fRVHQ2toKAGhzu3F0eDjp+48MD6PN7QYAfPaznzXkwyWd7dd6YyFyGVYy5jhtMWUnWz7wRLFjR7EjhGQTGc95RvZJlJ3grLeFEnmuwCv3ZM1xmmOwkTEfeKHYpYfiR0hytKiRBYLXBsiyMLo/TU1N2LhxI0KahubeC3h6wDNlAuKNRPC0x4P7ei8gpGlYULsAlnqLYR8uwzMspiTCEguRy7CSLcdZ84FEyZYPPFHs2FHsCCHZRMZznlF9EmEneAzLmFL0uQKv3JMxx2mOwU7GfOCFYpceih8hidGihuQURYHT6ZRmu9ps9MdisaCjoyO+sPF4fz8+cuY0Wi/24u8uX0brxV7cfuY0Hnf3xxc01j28Dr88/0vsentX2vUrioLS0lKm7dd6YyFyGVYy5jhLPpAo2fKBJ4odO4odISSbyHjOM7JP6ewE3/TpTYbFlWVMKfpcgVfuyZrjNMdgI2M+8EKxSw/Fj5DkaFFDcpqmYXh4WJrtarPVH6vVir1796K9vT1+ZdX+QAB7/D7sDwQwpmmorq7G3/zr3+CDf/9BWPItAIBdp3Zhz9t70qo7ne3XemMhchlWMuY4bTFlJ1s+8ESxY0exI4RkExnPeUb3iXUn+JlVZ/CG5w1D2sB6WyiR5wq8ck/WHKc5BhsZ84EXil16KH6EJGeZ6waQ2TcyMoKCgoK5boZhZqs/FosFzc3N2Lp1K7q6utDV1YW+vj5UVFSgvr4e9fX1UBQF+87tw7+//u/xcj87+TOYTWb80Yo/Yq57bGyMqRxLLEQuw0q2HGfNBxIlWz7wRLFjR7EjhGQTGc95RvYpthO8sbERnZ2deLy/H21uN9ZbrbCbzPCqEbwSDGLs2h+qYjvBI0oEj3U9hr9t+FusdqxOux0sY0rR5wq8ck/GHKc5BjsZ84EXil16KH6EJEaLGpJTFAVlZWVz3QzD8OiPoihoaGhAQ0PDtN/fsHQDwmoY33/j+/HXfnzixzArZmyq2sRUn81mY9p+rTcWIpdhJWOOs+QDiZItH3ii2LGj2BFCsomM57zZ6FNsJ/iOHTvQ1tYGl8uF/YHApPdUV1fjs62fhf9mP7r6uwAAo5FR/N9D/xd/f+vfY1XpKub6WcaUos8VeOWerDlOcww2MuYDLxS79FD8CEmObj8lOU3TEAgEpNmuxrM/yeq6c/md+Mz7PjPptR+8+QP86p1fMdXDuv1abyxELsNKxhynLabsZMsHnih27Ch2hJBsIuM5b7b6FNsJfvToURw8eBDf/va38ZWvfAXf/va3cfDgQRw9ehQt97Xg83WfR01FTbxcbGHjjPcMc92st4USea7AK/dkzXGaY7CRMR94odilh+JHSHK0UyMLjI+Pz3UTDMWzP8nq+mTVJxFRI/jJWz+Jv/b9N74PKMCdy+7UVU84HDa8fZlYhpVsOc6aDyRKtnzgiWLHjmJHCMkmMp7zZrNPsZ3g9fX18Hq9sNvtk66YzzHl4MG1D+Kx7sfwmvs1AMBweDi+Y2O5bTlTvSxjStHnCrxyT8YcpzkGOxnzgReKXXoofoQkRjs1JKcoCkpLS6XZZsqzP6nUtXnlZvzJ6j+Z9Nr3j38f/3nmP3XVU1JSwnT7Kb2xELkMKxlznCUfSJRs+cATxY4dxY4Qkk1kPOfx6lOyenLMOfhi3Rdxs/Pm+GuB8QD++eA/47z/PFNdeseUos8VRDhOmYrmGOxkzAdeKHbpofgRkhwtakhO0zQMDQ1Js12NZ39SreuuVXfh7uvunvTaj078CD9/++cp1xMMBpm2X+uNhchlWMmY4yz5QKJkyweeKHbsKHaEkGwi4zmPV59mqifXnIsv1n0RNzhuiL82ND6Efzz4jzjrO6u7Lr1jStHnCqIcp0xEcwx2MuYDLxS79FD8CEmOFjWyQCQSmesmGIpnf1Kt657r7pmyY+PZk8/iZ2/9LKUPIFVVZ7V9mVKGlWw5zpoPJEq2fOCJYseOYkcIySYynvN49WmmevLMeXi4/mFc77g+/trQ2BD+6eA/6X7GBsuYUvS5gijHKRPRHIOdjPnAC8UuPRQ/QhKjRQ3JKYoy5Z6tmYxnf/TWddequ/DpGz496bU9p/fgh2/+MOnChqIoKC4uZtp+rTcWIpdhJWOOs+QDiZItH3ii2LGj2BFCsomM5zxefUq1ngJLAf6m/m9wXel18dcC4wH808F/wsmBkynXpXdMKfpcQbTjlElojsFOxnzghWKXHoofIcnRoobkNE2D3++XZrsaz/6w1PWHK/4Qf3nTX0567b/f+W88ffxpqNr0V8ZomoZAIMC0/Vpv+0Quw0rGHGfJBxIlWz7wRLFjR7EjhGQTGc95vPqkp54CSwH+tuFvJ92KaiQ8gv976P/iTc+bKdWld0wp+lxBxOOUKWiOwU7GfOCFYpceih8hydGiBiEGu3PZnbj//fdDwbur6c+fex7fOfYdjKvjc9gyQgghhBBCSKYosBTgyw1fnvTw8NHIKB459Ah+3//7OWwZIYQQQsjcokUNySmKgpKSEmm2q/HsTzp13bHkDny2+rMwTfgVO3DpAB7tehQj4REA0VX3gwcP4oknnsD/+3//D0888QQOHjyY8io8S/tELsNKxhwvKiqSpj+8yZYPPFHs2FHsCCHZRMZzHq8+sdSTZ87Dw3UPo6aiJv7amDqGx7ofQ/eV7qR16R1Tij5XEPk4iY7mGOxkzAdeKHbpofgRkhwtakhO0zR4vV5ptqvx7E+6dd22+DY8WPsgckw58dded7+Of/zdP+I73/sOampqsG7dOnz+85/HI488gs9//vNYt24dampq0N7ejnA4bHj7RC7DSsYcHxoakqY/vMmWDzxR7NhR7Agh2UTGcx6vPrHWk2POwYO1D6JhfkP8tbAaxjcPfxMvnn8xYV16x5SizxVEP04iozkGOxnzgReKXXoofoQkZ5nrBpDZZzab57oJhuLZn3Trqptfhy83fBmPdT2G0cgowqNh7PjaDlw+fBkAkKcoWG+1otRsxmAkggPBIFwuF1paWrBnzx50dHTAarUa2j6Ry7CSLcdNJlpvTods+cATxY4dxY4Qkk1kPOfx6hNrPTmmHHyh5gvY7tqOVy69AgBQoeLJ157E0NgQ/mjFH0FRFGiahkOHDqGrqwvnz5/HkiVLUF9fj4aGhpSu9hV9riD6cRIZzTHYyZgPvFDs0kPxIyQxWtSQnKIoKC4unutmGIZnf4yq68ayG/GV9V/BPx/4Z/zy0V/i8uHLyFcUtDqd2GKzwz7hQ8obiWC3z4s2txudnZ1obGzE3r17YbFM/VVlaZ/IZVjJmONWq5W2mDKSLR94otixo9gRQrKJjOc8Xn1Ktx6zyYxta7bBmmPFc+eei7/+k7d+gsHhQYwdGsN3n/guXC7XlLLV1dVobW1FU1PTtHML1vbxnCtkynESEc0x2MmYD7xQ7NJD8SMkOVqql5ymaRgcHJRmuxrP/hhZV5WtCjecuSG+oNG+uBLNjrJJCxoAYDeb0ewoQ/viSuQpCjo7O7Fjxw7D2idyGVYy5rjf75emP7zJlg88UezYUewIIdlExnMerz4ZUY9JMWHrTVtx93V3x18Lj4bxt81/iwfufwAulwt5ioKPFBXhLpsNHykqQp6ixHeDb968GcFg0LD28ZwrZNJxEg3NMdjJmA+8UOzSQ/EjJDla1MgCOTk5M78pg/Dsj1F1aZqGHz/9YwBAq9OJmsLCpO9fW1iIbU4nAKCtrS3hhxhL+0Quw0q2HE909RxJjWz5wBPFjh3FjhCSTWQ85/HqkxH1KIqCe667B395019Ci2h49dFX4xdPPVRejv0rVmL7osX4+vwF2L5oMfavWImHysvjF001NjYmfH6f6HOFTDpOoqE5BjsZ84EXil16KH6EJEaLGpJTFAVFRUXSbDPl2R8j6zp06FD8qqktNntKZbbY7PGrqrq6ugxpn8hlWMmY44WFhdL0hzfZ8oEnih07ih0hJJvIeM7j1Sej67lz2Z2oOlVl2G5w0ecKmXqcREBzDHYy5gMvFLv0UPwISY4WNSSnaRo8Ho8029V49sfIug4fPgwAWG+1TplkJGI3m7H+2kPCu7u7DWmfyGVYyZjjPp9Pmv7wJls+8ESxY0exI4RkExnPebz6ZHQ9mqbh1z/5NQBjdoOLPlfI1OMkAppjsJMxH3ih2KWH4kdIcrSokQUKCgrmugmG4tkfo+oaGhoCAJSmuKARYzeZJ5V/L5b2iVyGlWw5npubO9dNyGiy5QNPFDt2FDtCSDaR8ZzHq09G1jMbu8FFnytk4nESBc0x2MmYD7xQ7NJD8SMkMVrUkJxs20x59sfIuoqLiwEAg5GIrnJeNTKpfLrtE7kMKxlzvKCgQJr+8CZbPvBEsWNHsSOEZBMZz3m8+mR0PUbvBhd9rpCpx0kENMdgJ2M+8EKxSw/Fj5DkaFFDcpqmwe12S7NdjWd/jKyrtrYWAHAgGIQ3xYUNbySCA8EgAKCurs6Q9olchpWMOT44OChNf3iTLR94otixo9gRQrKJjOc8Xn0yuh6jd4OLPlfI1OMkAppjsJMxH3ih2KWH4kdIcpa5bgCZfdZrV+LIgmd/jKqroaEB1dXVcLlc2O3zotlRNmOZ3T4vQpqG5e9bPmlRQ9M0HDp0CN3d3RgcHERpaSnq6urQ0NCQ0go+S594lWElW44XznA/ZJKcbPnAE8WOHcWOEJJNZDzn8eqTkfXMxm5w0ecKmXicREFzDHYy5gMvFLv0UPwISYwWNSQX22YqC579MbIuRVHQ2tqKlpYWtLndWJNfkPRBfkeGh9HmdgMAyu4ow3dc38F9N96Hn/7wp9i+fTtcLteUMtXV1WhtbUVTUxMslul/tVn6xKsMKxlzPC8vj7aYMpItH3ii2LGj2BFCsomM5zxefTK6nvfuBk/lFlTJdoOLPlfI1OMkAppjsJMxH3ih2KWH4kdIcnT7Kclpmoa+vj5ptqvx7I/RdTU1NWHjxo0IaRqaey/g6QHPlFtReSMRPO3x4L7eCwhpGhbULsCyO5bhpZ6X8P7b34+Wlpb4wwA/UlSEu2w2fKSoKP6wv5aWFmzevBnBaxMVI/rEqwwrGXN8YGBAmv7wJls+8ESxY0exI0QsR48exdq1a6e83tPTg8ceewy7du3CY489Bq/Xm9L3yGQynvN49cnoemK7wUOaht0+b0plYrvBr7/5etTX18fbdfDgQXznO9/B3/3d3+E73/kODh48mFI7ec4VMvU4iYDmGOxkzAdeKHbpofgRkhzt1MgCNpttrptgKJ79MbIui8WCjo4ONDY2orOzE4/396PN7Y4+2M9khleN4JVgEGPXPrBu/eitWNK6BCpUvProq7h8+DLyFQWtTie22OyTrsTyRiLY7fOize1GZ2cnGhsbsXfv3ml3bLD0iVcZVrLleFFR0Vw3IaPJlg88UezYUewIEcOuXbtQVVWFo0ePTvnePffcgyNHjgCILmK0tLRg586dM36PTCXjOY9Xn4ysJ53d4MW3F2Pvqb3of6kfTzzxBPNOcIDvXCETj5MoaI7BTsZ84IVilx6KHyGJ0U4Nycm2zZRnf2ajLqvVir1796K9vT1+VdX+QAB7/D7sDwQwpmmorq5Ge3s7Xv71y/jH2/8RV39zNb6g0b64Es2Osilby+1mM5odZWhfXIk8RUFnZyd27NhhSJ94lWElY47n5uZK0x/eZMsHnih27Ch2hIjj7rvvRk1NzZTXe3p6Jn1dVVWFffv2zfg9MpWM5zxefZqNelh3gy/6wCJ89tOfxf3335/WTnCec4VMPk5zjeYY7GTMB14odumh+BGSHC1qSE5VVVy9ehWqqs51UwzBsz+zVZfFYkFzczOOHj2KgwcP4lvf+ha+8IUv4Fvf+hYOHjyIo0ePorm5GRaLBdeVXgfvi14AQKvTmfTKKwBYW1iIbU4nAKCtrW3KNkWWPvEqw0rGHPd4PNL0hzfZ8oEnih07ih0h4tu3bx8cDsek1xwOB44ePZr0e2QqGc95vPo0G/XEdoPHFjYe7+/HR86cRuvFXvzd5ctovdiL28+cxuPufoQ0DTffdjMa/ncDDn3jUPzCqYfKy7F/xUpsX7QYX5+/ANsXLcb+FSvxUHl5/IKpxsZGhMNhQ/rEGodMPk5zjeYY7GTMB14odumh+BGSHN1+SnKKoqC0tFSalV2e/ZntuhRFQUNDA2pra3Hp0iUsXLgQ5vfswDh06BBef+115CkKttjsKf3cLTY72txuuFwudHV1oaGhYVKdevvEqwwrGXO8pKREmv7wJls+8ESxY0exI0R8iZ6RMTAwkPR7iYRCIYRCofjXfr8fQPQPEHP1xwdVVaFp2qzXr2kabDYbl7p44dWn2aqnoKAAe/bswY4dO+K3ktofCEx6T3V1NT772c/i3nvvxcPffBi/OPyL+E7w6S6ciu0Er84vwH29F9DZ2Ynvf//7aG5uTrtPrHHI9OM0lzRNQ3FxsVR94kXGfKDPi8zAK3688oFkBhHyIdW653xR4+jRo2hpaYnfwzamp6cnfk/cnp4e3H///bDb7TN+j0wW22YqC5794VWXoijIycmZ9o9hhw8fBoDoczfes+CRiN1sxnqrFfsDAXR3d09Z1NDbJ15lWMmY44nygcxMtnzgiWLHjmJHSOZK9kDwZN975JFH8LWvfW3K6/39/RgdHTWgZfqpqgqfzwdN02Ay0Yb8bPSHf/iH+OQnP4ljx47h2LFjcLvdcDqdWLNmDdasWQNFUeDxeLDvx9Hbq+nZCf54fz++/e1v45Of/CSNUzOQqqoIBoPo7++n8wOhzwsyCeUDmUiEfBgaGkrpfXO6qEEP8pt9qqqir68PFRUVUpycePaHV12qqsYnHO+tJ/aLXJrigkaM3WSeVH5iXXr7xKsMKxlzPFE+kJnJlg88UezYUewIEZ/dbp+y82JgYAB2uz3p9xL58pe/jAcffDD+td/vR2VlJcrLy1FSUmJo21OlqioURUF5efmsj11lO+fxHPfzqOfOO+/Ehg0bcPLkSaxevXrSQ74PHjyI48ePM+0EP378OM6ePTvpoimecwXZjhNP4XAYHo8HTqcz6UPfyVQy5gN9XmQGnuc8HvlAMoMI+ZCfn5/S++b00+zuu++e9nV6kJ9xFEVBWVmZNFfT8OwPr7oURYHdbp+2nuLiYgDA4Hse9jcTrxqZVF7TNBw6dAjd3d3w+Xyw2Wyoq6tDQ0PDjP1jiYOMx4mXZPlAZiZbPvBEsWNHsSNEfBs2bMCTTz455fXa2lpUVVUl/F4ieXl5yMvLm/K6yWSa0z8IKIoy622ITXTNZrM05z1efeIZO7PZjNLSUpjN5kn5ELugkHUn+JEjR7Bu3br491j6xBoHGY8TL4nygcxMxnwA6PMiE/CMH498IJljrvMh1XqFXKJP9rC+w4cPJ/xeTU0Nz2ZmhNitbGTBsz+86lIUBRaLZdoPqdhk+kAwCG8kktLEwxuJ4EAwCABYs2YN2tvbsX37drhcrinvra6uRmtrK5qamhJescMSBxmPEy/J8oHMTLZ84Ilix45iR4iYvF5vfLdFVVXVpO/19PSgtrY2vlMj0ffIVDKe83iO+3mOkacbUxq9E5znXEHG48QLzTHYyZgPvFDs0kPxIyQ5IRc1jHyQXzY/xC9W19WrVzFv3jwpVlx59odXXeFwGH19fXA4HFMWFurq6lBdXQ2Xy4XdPi+aHWUz/rzdPi9CmoZ5K+fhq//0Vez7dXQnU56iYL3VilKzGYPXFj5cLhdaWlrw85//HM8++yysVuuUn8cSBxmPEy/J8oHMTLZ8oM+LzMArdiI8tI2IQ5R8mOv632vfvn14/vnnAUSfe1FXVxffHb5z5048/PDDqKurQ3d396Tb1yb7HplMVVVcuXIF8+fPl+bzglefeMZOVVX09/dPuaXpbOwEv3TpEhYuXJjyTnDWOMh4nHhJlA9kZjLmAy8Uu/RQ/AhJLqP+YsbyID96iF+U2+3mUg8vPPsz23WpqgqTyQS32z1tPnz605+Gy+VCm9uNNfkFSR/md2R4GG3X2jsyNoJ9v96HfEVBq9OJLTb7pJ0e3kgEu31etLnd+OUvf4lPfepTeOaZZxL+IZ0lDjIdJ15mygeSGpnygT4vMgePz4u5fmgbEYco+ZDqg/x42bBhAzZs2IBHH310yveqqqrir7/3NrjJvkcmM5lM0i2A8+oTz9iZTCY4HI4pdYmwE5w1DjIeJ14S5QOZmYz5wAvFLj0UP0KSE3JRw8gH+WXzQ/wm1ifTSZBnf3jUFbvSMtHDnz73uc/hhRdewC9/+Us0917AtkQLFF4v2jxuhDQNtqU2+M75kK8oaF9cOe1CiN1sRrOjDNX5Bbiv98K7dTQ3T9tGvXGQ7TjxMlM+kJnJlg/0eZEZeH1ezPVD24g4RMmHVB/kR+Qi4y1sePWJZ+ymq6uhoYF5J7htmQ1/9Td/heO/Ow4g+U7wPXv2oKOjY9qd4Inaxtqn2UA5Tiai2LGj2KWH4kdIYkIuahj5IL9sfogfEJ3w9vX1SbNdjWd/eNWlqioGBgYSrsDn5uZi586daGxsRGdnJx7v70eb2x19uJ/JDK8awSvBIMY0DQDw0Y9/FK+ffh0A0Op0Jt3ZAQBrCwuxzenE4/39eOKJJ3DfffdN+uBkiYOMx4mXmfKBJCdbPgD0eZEJeMZurh/aRsQiQj5QLmYfGW+HIeNtjVRVhcfjmXKhjKIoaG1tRUtLi+6d4NCA4787ntJO8M7OTjQ2NmLv3r1TdmzQ7af4S5QPZGYy5gMvFLv0UPwISU6Y34qJt49K9iC/ZN8jU5lMJqlOgDz7w6suk8mEsrKypPVYrVbs3bsX7e3tqK6uRkjTsD8QwB6/D/sDAYxpGqqrq9He3o6v/cPX0N/TjzxFwRabPaU2bLHZkacocLlc6OrqmtI+vXGQ8Tjxkko+kMRkyweeKHbsKHaEkGwi4zmP57if5xg50ZiyqakJGzduREjT0Nx7AU8PeOB9zzM2vJEInvZ4cF/vhWl3gjc7yqbcuiq2E7x9cSXyFAWdnZ3YsWPHtG1jiYOMx4kXmmOwkzEfeKHYpYfiR0hyc7pTgx7kx4d27Qp+WfDsD6+6UqnHYrGgubkZW7duRVdXF7q7u+Hz+WCz2VBXV4f6+nooioK2tjYAiO7kSOEeuUB0ArLeasX+QADd3d1oaGjQ3T6WPhmFcpxMRPFjR7FjR7EjhGQTGc95Io37Z7sui8WCjo6OlHeCb9y4EafPnoYPPt07wdva2rB169Ypt1BhjYOMx4kXGfvEC8WOHcUuPRQ/QhKb00UNepDf7FNVFVevXpVmdZdnf3jVpfd2Q4qioKGhAXV1ddNuRYw9sLM0xQWNGLvJPKm8pmk4dOgQuru7cenSJSxcuBB1dXVoaGiY8b6OMh4nXuj2U+mRLR94otixo9gRQrKJjOc8nuN+nmPkZGPK2E7wHTt2oK2tDS6XC/sDgUnvqa6uxrZt27B69Wp86EMf0r0TvM3tju8En3jRFGscZDxOvNAcg52M+cALxS49FD9CkhPymRrEOCaTCQsXLpzrZhiGZ3941WUymZge8pmofcXFxQCAwfdsIZ+JV42+v7CwEO3t7di+fTtcLteU91VXV6O1tRVNTU1T7o87U9tmg4w5PtcPfc1ksuUDTxQ7dhQ7Qkg2kfGcx3Pcz3OMPNOYcrqd4ENDQyguLp7VneCscZDxOPFCcwx2MuYDLxS79FD8CEmOFjUkp2kawuEwLBbLjFfXZwKe/eFVV6wevdsKE7WvtrYWAHAgGIQ3Eklp4uGNRHAgGAQAdHR04MCBAwCAPEXBeqsVpWYzBq+9x+VyoaWlBXv27EFHRwesVmvKbZsNsuY4bTNlI1s+8ESxY0exI4RkExnPebzH/TzHyKmMKWM7wevr66dt32zsBJ94G91UdoJP7JNMx4kXmmOwkzEfeKHYpYfiR0hytEwvOU3T4PF4pBm88OwPr7o0TYPX62Va1JiufQ0NDfGHie/2eVP6Wbt9XoQ0DbmFuThw4ADyFQUPlZdj/4qV2L5oMb4+fwG2L1qM/StW4qHy8viD/xobGxEOh1Nu22yQMcdZ8oFEyZYPPFHs2FHsCCHZRMZzHs9xP88xst4xZaL2GbUTvKamBuvWrcPnP/95/MM//AM+//nPY926daipqUF7e/u084pU2mc0WXOc5hhsZMwHXih26aH4EZIcLWpIzmQySXX/PZ794VWXyWSC0+lkuv3UdO1TFAWtra0AgDa3G0eHh5P+nCPDw2hzuwEAY8NjyFcUtC+uRLOjbMouD7vZjGZHGdoXV8YXNnbs2JFy22aDjDnOkg8kSrZ84Ilix45iRwjJJjKe83iO+3mOkfWOKRO17707wVMxcSf4s88+i5aWFrhcLuQpCj5SVIS7bDZ8pKgIeYoS3wm+efNmBK+V0dM+o8ma4zTHYCNjPvBCsUsPxY+Q5Og3Q3KapmFsbEyalV2e/eFVl6ZpGB8fZ9qpkah9TU1N2LhxI0KahubeC3h6wDNlAuKNRPC0x4P7ei8gpGmwFETvRtfqdKKmsDBp3WsLC7HN6QQAtLW1TWmDjMeJF9Z8IFGy5QNPFDt2FDtCSDaR8ZzHc9zPc4ysd0yZqH3p7AS3FFjw6quvpr0TPFn7jCZrjtMcg42M+cALxS49FD9CkqNFDclpmobBwUFpToI8+8OrLk3T4Pf7mRY1ErXPYrGgo6MjvrDxeH8/PnLmNFov9uLvLl9G68Ve3H7mNB539yOkaWi4tQHhkTDyFAVbbPaU6t9is8evrOrq6kq5bUaTMcdZ8oFEyZYPPFHs2FHsCCHZRMZzHs9xP88xst4xZaL2pbMTPDwSNmQneLL2GU3WHKc5BhsZ84EXil16KH6EJEeLGpIzmUyYN2+eNNvVePaHV10mkwllZWVMt59K1j6r1Yq9e/eivb09fmXV/kAAe/w+7A8EMKZpqK6uRnt7O/7sT/8MALDeak3pweJAdAKy/tpDwru7u3W1zUgy5jhLPpAo2fKBJ4odO4odISSbyHjO4znu5zlG1jumTNY+lp3gOYU5AIzZCT5T+4wka47THIONjPnAC8UuPRQ/QpKzzHUDyOyKbVfLzc2Foihz3Zy08ewPr7pYtxSm0j6LxYLm5mZs3boVXV1d6Orqgtfrhd1uR319Perr66EoCh555BEAQGmKCxoxdlP0/UNDQ/E2HTp0CN3d3fF66urq0NDQMGsxlDXH6WoMNrLlA08UO3YUO0JINpHxnMd73M9zLsNy+6np2hfbCd7Y2IjOzk483t+PNrc7elGUyQyvGsErwSDGrtW3fv16HDhwQPdO8Da3O74TvKGhIeX2GUnmHKc5hn4y5gMvFLv0UPwISY4WNbKAz+dDeXn5XDfDMDz7w6uuQCDAVC7V9imKgoaGBtTX16O/vx/l5eWTPhSLi4sBAIMpPvgvxqtG319YWIj29nZs374dLpdryvuqq6vR2tqKpqYmWCzGn3Zky3HWfCBRsuUDTxQ7dhQ7Qkg2kfGcx6tPPGPHMqZM1r7YTvAdO3agra0NLpcL+99TR3V1NbZt24ZAIIADBw4w7QTfHwigu7t7yqLGTO0zkow5TnMMdjLmAy8Uu/RQ/AhJjBY1JKcoCioqKua6GYbh2R9edSmKAofDoXvlnaV9icrU1tYCAA4Eg/BGIilNPLyRCA4EgwCAjo4OHDhwAACQpyhYb7Wi1GzG4LX3uFwutLS0YM+ePejo6ID12m2rjCBjjrPkA4mSLR94otixo9gRQrKJjOc8nuN+nnMZvWPKVNr33p3g3d3dGBoaQnFxMerq6gzfCQ68uxv88OHD8bpqa2tnbTe4rDlOcww2MuYDLxS79FD8CEmOFjUkp2kaRkdHkZ+fL8UAhmd/eNWlaRpCoRDT7af0ti9RmYaGBlRXV8PlcmG3z4tmR9mMP2u3z4uQpiG3MBcHDhxAvqKg1enEFpt90qKINxLBbp8XbW43Ojs70djYiL179xq2Y0PGHGfJBxIlWz7wRLFjR7EjhGQTGc95PMf9POcyeseUeto3cSf4dGXS3QleXFyMcDiMZ555hvtucFlznOYYbGTMB14odumh+BGSHD1tJgsEr11NLwue/eFV1/DwMFM5lvZNV0ZRFLS2tgIA2txuHJ2hPUeGh9HmdgMAxobHkK8oaF9ciWZH2ZRdHnazGc2OMrQvrkSeoqCzsxM7duzQ3e5kZMtx1nwgUbLlA08UO3YUO0JINpHxnMerTzxjxzKmNGp+8d6d4KmYuBN89Q2rsXnzZrS0tMDlciFPUfCRoiLcZbPhI0VFyFOU+G7wzZs3Gx5XGXOc5hjsZMwHXih26aH4EZIYLWpITlEUOJ1OaVZ1efaHV12KoqC0tJTp9lN625esTFNTEzZu3IiQpqG59wKeHvBMmYB4IxE87fHgvt4LCGkaLAXRK6JanU7UFBYmrXttYSG2OZ0AgLa2NsOuEpIxx1nygUTJlg88UezYUewIIdlExnMez3E/z7mM3jGlkfOL2E7wkKZht8+b0s+K7QS3Lbfhvr+9D52dnchXFDxUXo79K1Zi+6LF+Pr8Bdi+aDH2r1iJh8rL4xdNNTY2IhwOp9xulj5lMppjsJMxH3ih2KWH4kdIcrSoITlN0zA8PCzNNlOe/eFVl6ZpGBkZYbr9lN72JStjsVjQ0dERX9h4vL8fHzlzGq0Xe/F3ly+j9WIvbj9zGo+7+xHSNDTc2oDwSBh5ioItNntK9W+x2eNXVXV1daXcbtY+ZSLWfCBRsuUDTxQ7dhQ7Qkg2kfGcx3Pcz3Muo3dMaeT8Ip2d4PbldpzvOj9nu8FlzXGaY7CRMR94odilh+JHSHK0qJEFRkZG5roJhuLZH151jY2NMZVjaV+yMlarFXv37kV7e3v8yqr9gQD2+H3YHwhgTNNQXV2N9vZ2/Nmf/hkAYL3VmtKDxYHo5GP9tYeEd3d36257IrLlOGs+kCjZ8oEnih07ih0hJJvIeM7j1SeesWMZUxo5v2DZCV5ZXwnfOz4Ac7sbXMYcpzkGOxnzgReKXXoofoQkRg8Kl5yiKCgrm/mhz5mCZ3941aUoCmw2G9Ptp/S2L5UyFosFzc3N2Lp1K7q6utDd3Y2hoSEUFxejrq4O9fX1UBQFjzzyCACgNMUFjRi7Kfr+oaEhXeUSkTHHWfKBRMmWDzxR7NhR7Agh2UTGcx7PcT/PuYzeMaXR84vYTvDGxkZ0dnbi8f5+tLnd0YuiTGZ41QheCQYxdm0hYtOmTdj2P7fhDz72B7p3g7e53fHd4A0NDbr6oKdPmYrmGOxkzAdeKHbpofgRkhzt1JCcpmkIBALSbFfj2R9edbFuKWRpn54yiqKgoaEBra2t+NznPofW1lY0NDTEB8LFxcUAgMEUH/wX41Ujk8qnS8Ycpy2m7GTLB54oduwodoSQbCLjOY/nuJ/nXIblVlJGzy/07AT/xS9+gdNvnQYwt7vBZc1xmmOwkTEfeKHYpYfiR0hytFMjC4yPj891EwzFsz+86mJ9qB1L+4wqU1tbCwA4EAzCG4mkNOnwRiI4EAwCAK67+Trd7dDTvkxm1EMOs5Vs+cATxY4dxY4Qkk1kPOfx6hPP2LGMKWdjfvHeneBdXV3o7+9HeXk56uvr4zvBgXd3c8/1bnAZc5zmGOxkzAdeKHbpofgRkhgtakhOURSUlpbOdTMMw7M/vOpSFAUlJSVMt5/S2z4jyzQ0NKC6uhoulwu7fV40O2beFrnb50VI02CvsmNHYAcuv3EZf7zyj2HLs+lqUyrty1Ss+UCiZMsHnih27Ch2hJBsIuM5j+e4n+dcRu+YcrbnF7Gd4MluDyXCbnBZc5zmGGxkzAdeKHbpofgRkhzdfkpymqZhaGhImu1qPPvDqy5N0xAMBpluP6W3fUaWURQFra2tAIA2txtHh4eT/pwjw8Noc7sBACs3rURYC6PznU587sXP4ccnfoyhMbarqmTMcZZ8IFGy5QNPFDt2FDtCSDaR8ZzHc9zPcy6jd0w51/MLYOpu8FRM3A1efl15yu1gaV+mojkGOxnzgReKXXoofoQkR4saWSCi8yoX0fHsD6+6VFVlKsfSPiPLNDU1YePGjQhpGpp7L+DpAc+UyYc3EsHTHg/u672AkKahal0Vlt2xLP79UCSE/zjzH9j2wjZ0nOxAcDxoWPsyFWs+kCjZ8oEnih07ih0hJJvIeM7j1SeesWMZU871/CK2Gzykadjt86b0sybuBt8d2o1/PvjPODV4SnebUmlfJqM5BjsZ84EXil16KH6EJEa3n5Kcoiiw2+1z3QzD8OwPr7oURUFxcTHT7af0ts/oMhaLBR0dHWhsbERnZyce7+9Hm9sdfbCfyQyvGsErwSDGrl1ZsGnTJvz0Zz/Fm0NvouNkB3oDvfGfNRoZxe63d+NXZ3+FP6z6Q3xi2SdQmFOYsF2apuHQoUM4fPgwhoaGUFxcjNra2kkPM89ErPlAomQ75/FEsWNHsSOEZBMZz3k8x/085zJ6x5QizC9iu8FbWlrQ5nZjTX4BagoTzwneuxtcURS85n4Nr7lfw5qKNbjnunuwwr7CsPZlKppjsJMxH3ih2KWH4kdIcrSoIbnYdjVZBjA8+8OrLk3TEAgEUF6ub6s0S/tmo4zVasXevXuxY8cOtLW1weVyYX8gMOk91dXV2LZtG+69915YLBY0FDWgbn4dXr30Knae2onLwcvx9wbHg/jZyZ/hP3v+E3+w/A/wB8v+AEW5RfHvh8NhPPPMM9i+fTtcLteU9lRXV6O1tRVNTU2wWDLvFMeaDyRKtnMeTxQ7dhQ7Qkg2kfGcx3Pcz3Muo3dMKcr8oqmpCXv27EFnZyeaey9gm9OJLTY77BMeHu6NRLDb60Wbx42QpuF9H3wflt+xfNLPOdZ3DMf6jmHtvLVovK4Ry2zLZmzXoUOH0N3dDbfbDafTibq6uoy/aAqgOUY6ZDzn8UKxSw/Fj5DkMu8vfoQQ4VgsFjQ3N2Pr1q3o6upCV1dXfCJQX1+P+vr6KR/CJsWEDyz6AG5dcCtevvgydp/ajb6Rvvj3g+NB7Dq1C/915r/wiWWfwKaqTbCELfFdIQCQpyhYb7Wi1GzG4LV76bpcLrS0tGDPnj3o6OiA1WrlGgtCCCGEEEIIO5bd4M8++ywG1AHsOrULBy8fnPTzjlw9giNXj6BuXh0+tepTU3ZuyH7RFCGEECIjRcuyJ874/X7YbDb4fD6UlJTMSRtUVUVfXx8qKipgMtFjTbId5UNUWA3jNxd+g5+//XN4Rj1Tvm/RLDj+r8fx2suvIV9R0Jroii2fF23u6BVbGzduxN69ezNq8kH5QCaifCATUT6QiUTJBxHG1iIQIQ6i5AQRgwz5EA6HJ+0Gf6/37gaPOec/h12ndqHrSte0P/f9zvfjU6s+hfeVvQ/BYHDGi6ZC1/5ksnHjxoy9aEqGfCDGoXwgE1E+kIlEyIdUx9WZ85c+wkTTNPh8PthsNim2q/HsD6+6YlsKWW4/pbd9IpexmCzYsHQDPlz5YbzU+xJ+cfoX6Bt+d+fGqedOxRc02hdXTntvXbvZjGZHGarzC3Bf7wV0dnZix44daG5uTqkNImDNBxIl2zmPJ4odO4odISSbyHjO4znu5zmX0TumFG2uMN1u8P7+fpSXlyfcDQ4AS0uW4qHah9Dj68GuU7tw5OqRSd+PPXPjupLr8Jt/+g1+t+93KV001dnZicbGxoy7aAqgOUY6ZDzn8UKxSw/Fj5DkMuuTmDAxTxiUyYBnf3jVxbr6ydI+kcsAQI4pB3csuQO3L74dr1x6Bb84/Qv0DvXidOdpAECr05n0YYEAsLawENuczuhW9bY2bN26NaMGAXR1RHpkO+fxRLFjR7EjhGQTGc95vPrEM3YsY0oR5wqKoqChoQH19fUIBAIoKipKaWxfZavCl+q+hDPeM9j99u4pixu/2vkrHN53WPqLpmJojsFOxnMeLxS79FD8CEmMPtUkpyiKVA8V4tkfXnUpigKr1aq7Hpb2iVzmvcwmM25bfBu+8eFv4OPKx+Ht8SJPUbDFZk+p/BabHXmKApfLha6u6beei4g1H0iUbOc8nih27Ch2hJBsIuM5j+e4n+dcRu+YUvS5Amu5FfYV+FLdl/Cvt/0r1i9cDxNM0DSN6aIpAGhra0Om3cWb5hjsZDzn8UKxSw/Fj5DkaFFDcpqmYXBwMOMGXYnw7A+vujRNg9/v110PS/tELpOISTFh9OwoAEQfDpjilQp2sxnrr93vtru7O+128MKaDyRKtnMeTxQ7dhQ7Qkg2kfGcx3Pcz3Muo3dMKfpcId34LSlZgi/UfAHfvP2bWOZdljUXTQE0x0iHjOc8Xih26aH4EZIcLWpkgZycnLlugqF49odXXaz3ZGVpn8hlEhkaGgIAlOrcemk3mSeVzxSZdo9e0ch2zuOJYseOYkcIySYynvN49Yln7FjGlKLPFYyI34KiBVjiWwIgOy6aiqE5BjsZz3m8UOzSQ/EjJDH6VJOcoigoKiqa62YYhmd/eNWlKAoKCwuZtl/rbZ/IZZIpLi4GAAxGIrrKedXo+8M5YcPaMttY84FEyXbO44lix45iRwjJJjKe83iO+3nOZfSOKUWfKxgZv2y7aIrmGOxkPOfxQrFLD8WPkORop4bkNE2Dx+ORZrsaz/7wqkvTNPh8Pqbt13rbJ3KZZGprawEAB4JBeFNc2PBGIjgQDAIAfqv8Fv/06j+h+0o3VE01pE2zhTUfSJRs5zyeKHbsKHaEkGwi4zmP57if51xG75hS9LmCkfFL96KpQmvyZ3CIhuYY7GQ85/FCsUsPxY+Q5GhRIwsUFBTMdRMMxbM/vOrKzc1lKsfSPpHLJNLQ0IDq6mqENA27fd6Uyuz2eRHSNNir7HBc58Bxz3F84/A38IUXv4D/PPOfCI4HDWuf0VjzgUTJds7jiWLHjmJHCMkmMp7zePWJZ+xYxpSizxWMil+6F029iBfxs7d+Bs+Ix5D28EBzDHYynvN4odilh+JHSGK0qCE52baZ8uwPr7oURUFBQQHT7adYtpSLWmamn9fa2goAaHO7cXR4OOn7jwwPo83tBgCs3LRyUjv6RvrwoxM/wl/v+2u0v96OC0MXDGmjUVjzgUTJds7jiWLHjmJHCMkmMp7zeI77ec5l9I4pRZ8rGBm/dC+ayluehz2n92DbC9vwzSPfxJueN4W+mprmGOxkPOfxQrFLD8WPkORoUUNymqbB7XYLPcDSg2d/eNWlaRoGBweZtl/rbZ/IZWbS1NSEjRs3IqRpaO69gKcHPFOuqvJGInja48F9vRcQ0jRs2rQJP/nKT3B75e3IMU1+wFYoEsLz557H//7t/8ZXDnwFL/e+jPHIuGHtZcWaDyRKtnMeTxQ7dhQ7Qkg2kfGcx3Pcz3Muo3dMKfpcwcj4GXXRlAoVhy4fwtde/RoefulhvHDuBYQiobTbZzSaY7CT8ZzHC8UuPRQ/QpKjB4VnAavVOtdNMBTP/vCqq7CQ7Z6sLO0TuUwyFosFHR0daGxsRGdnJx7v70eb2431VivsJjO8agSvBIMYu/aBv2nTJjz77LOwWq1YVbYKf379n+PF8y/iuXPPYWB0YNLPfmvgLbw18BZ2vLEDH678MDYs2YAFRQsMbb8erPlAomQ75/FEsWNHsSOEZBMZz3m8+sQzdixjStHnCkbGr6mpCXv27EFnZyeaey9gm9OJLTY77BMeHu6NRLDb60Wbx42QpuHOjXfic5//HPb17sPFwMVJP+/c0Dk89fpT+MlbP8Fti2/DR5d8FJXFlYa1N100x2An4zmPF4pdeih+hCSmaFm25Of3+2Gz2eDz+VBSUjInbVBVFX19faioqIDJRJtlsh3lgz7hcBg7duxAW1sbXC7XlO9XV1dj27ZtuPfee2GxTF23DathdF3pwi/f+SVODZ5KWM9NZTdhw9INqJ1fO2WXx2yifCATUT6QiSgfyESi5IMIY2sRiBAHUXKCiIHyITXBYDB+0RQA5ClKShdNaZqG4+7j+NXZX+Ho1aNQoU7781eXrsaGpRtw64JbkWueu2daUD6QiSgfyESUD2QiEfIh1XE17dSQnKZp6O/vR3l5uRT34ePZH151aZqGgYEBlJeX6y6nt30il0mVxWJBc3Mztm7diq6uLnR1deHKlSuYP38+6uvrUV9fn7ROi8mC9QvXY/3C9TjnP4d95/bhpd6XMBoZnfS+457jOO45DluuDR+u/DA+WvlRLrs3WPOBRMl2zuOJYseOYkcIySYynvN4jvt5zmX0jilFnyvMRvysViv27t076aKp/YHApPdMd9GUoii4ufxm3Fx+M/qG+/D8uefx4vkXERifXPbk4EmcHDyJZ954Brctug13LL1jTnZv0ByDnYznPF4odumh+BGSHO3UmAM8V700TcPY2Bhyc3OlOAny7A+vuiKRCC5evIhFixbBPGGr82y0T+QyrIyoayQ8ggMXD+D588/jHd87Cd+3unQ1bq+8HesWrkOBpYC1yUmx5gOJku2cR58XmYFX7ES4aoaIQ5R8EGFsLQIR4sArJ2T8vODVJ56xYxlTij5XmO34aZoWv2jK6/XCbrendNFUzFhkDK9cfAUvnH8Bb3vfTvi+60qvw4YlG3DrwluRZ84zsgsJ0RyDnYznPPq8yAw0xyBzQYR8SHVcTYsac0CEBCHioHwQyxnvGew7tw+vXHol4UP+8sx5uHXBrbi98nbc4LjB0AEG5QOZiPKBTET5QCYSJR9EGFuLQIQ4iJITRAyUD3PrnP8cXjj/Al7ufRnD4ekfQp5vzse6hetwe+XtWF26mv5oSbihfCATUT6QiUTIh1TH1ZStklNVFVevXoWqTn+Pz0zDsz+86lJVFR6PR3c9LO0TuQwro+taYV+BB255AN/b8D1svWkrlpYsnfKeUCSE3/b+Fl979Wv4wv4v4Odv/xzuEbch9bPmA4mS7ZzHE8WOHcWOEJJNZDzn8Rz38xwj6x1Tij5XyKTjtLRkKbbetBXf+9j38Ne3/DWuK71uyntGI6PYf2E/vnLgK/if+/+noXOK96I5BjsZz3m8UOzSQ/EjJDl6pobkFEVBaWmpNFv9ePaHV12KoqCkpER3PSztE7kMq9mqqzCnEJ9Y9gl8Ytkn8I7vHfzmwm/wu4u/m3Kf3KvDV/HsyWfRcbIDNzlvwocXfxi182t1355K0zQcOnQIXV1d8a3h9fX1aGhokOb3lwfZznk8UezYUewIIdlExnMez3E/zzGy3jmG6HOFTDxOeeY83F55O26vvB3n/eex7/y+aXdvXBm+MmlOcdvi29CwoMGw21OxzjmJnOc8Xih26aH4EZIcLWpITlEU5ObmznUzDMOzP7zqUhQFOTk5TIN6ve0TuQwrHnUtty3HcttyfPqGT+Pw1cP4zYXf4LX+16Di3SsmNGh43f06Xne/jjxzHmrn1eJDiz+Em503w2JKfKoNh8N45plnsH37drhcrinfr66uRmtrK5qamuIPJiSJyXbO44lix45iRwjJJjKe83iO+3mOkfXOMUSfK2T6cVpSsgRbb9qKT9/waXRf6cZvLvwGr7tfh4Z37wg+cU7x9OtPY93Cdfjw4g9jtWM1TAr7jTZY55xEznMeLxS79FD8CEmO/kImORHuhWYknv3hVZeqqnC73XA6nbrqYWmfyGVY8awrx5yDdQvXYd3CdfCMePBS70v4be9vcTl4edL7QpEQXrn0Cl659ApKckuwbuE6fHDRB7HKvmrSRCIYDKKxsRGdnZ0AgDxFwXqrFaVmMwYjERwIBuFyudDS0oI9e/ago6MDVqt1VvuY6WQ75/FEsWNHsSOEZBMZz3k8x/08x8h65xiizxVkOU655lx8YNEH8IFFH4B7xI2Xe1+edk4Ruz3V/gv74SxwYv3C9fjAwg9gaclSXQ9lP3ToEA4dOoR33nkHy5cvR0NDA+0G10HGcx4vFLv0UPwISY4eFD4HeJ6YNE1DOByGxWKRYtDCsz+86opEIrh8+TIWLFgAs9k8q+0TuQyruc5xTdNwavAUXrzwIg5dPoSR8EjC984rnIcPLvogPrToQyjPL8fmzZvR2dmJfEVBq9OJLTY77BNywBuJYLfPiza3GyFNw8aNG7F3717asZHEXOeD0ejzIjPwih1NbMhEouSDCGNrEYgQB145IePnBa8+8YwdyxxD9LmCjMdpYp2nBk/hpd6X8MqlV5LOKRYXLcYHF30Q6xeuxzzrvGnfQ7vBjSPjOY8+LzIDzTHIXBAhH1IdV9OixhwQIUGIOCgf5DEWGcORq0fwu4u/g6vPhbAWTvjeoZeH8MvHfol8RUH74krUFBYmfO+R4WHc13sBIU1De3s7mpubZ6P5REB0fiATUT6QiUTJBxHG1iIQIQ6i5AQRA+VD5hqLjCW8PdV7rbKvwgcXfRDrFq6DLc8GILXd4KFrfwbauHEj7QbPQnR+IBNRPpCJRMiHVMfVlK2SU1UVly5dgqqqM785A/DsD6+6VFVFf3+/7npY2idyGVYi5XiuORfrFq7DF+u+iCc/9iRabm7BDY4bprxP0zS8uutVAECr05l0QQMA1hYWYpvTCQBoa2tDlq1F6yJSPmQaih07ih0hJJvIeM7jOe7nOUbWO8cQfa4g43GaTuz2VH9369/hiQ1P4C/e9xdYYVsx7Xvf9r6N77/xffzV83+Frx/8Op7veR533X1XfDf4Q+Xl2L9iJbYvWoyvz1+A7YsWY/+KlXiovBx5ioLOzk40NjYiHE58MVa2m+t8yGQUu/RQ/AhJjnZqzAHeq16RSETXbY1Ex7M/POpSVTW+NVxvPrC0T+QyrETP8f7hfrxy6RW83PsyegO98LzlwQtffAF5ioL9K1ZOuuVUIt5IBB85cxohTcPBgwfR0NDAoeWZSfR80IM+LzIHr8+Lub5qhohDlHwQYWwtAhHiwDMnZPy84NUnXvWwzjFEnyvIdpz0uBy4jN9d+h1eufjKlOdvxPT8ugeH2w7TbnCDiZgP6aDPi8xBcwzCmwj5QDs1SJxs9y7k2R9edbHWw1JO5DKsRM/x8sJy/PHKP8Y3PvwNPPqhR7HIuwgAsN5qTWlBAwDsZjPWX9sW3t3dPWttlYHo+SAyih07ih0hJJvIeM4TfdzPqy6Ry6RTTtR69FhQtAD3XHcP/u32f8MjH3oEn6z6JErzS+Pf1zQNpztPA6Dd4EYTMR8yBcUuPRQ/QhKjRQ3JqaqKK1euSLNdjWd/eNWlqio8Hg/T9mu97RO5DKtMynFFUbDMtgzXW68HAJTqvOLCboq+3+/3G942WWRSPoiGYseOYkcIySYynvN4jvt5jpH1zjFEnyvIeJxYKIqCKlsVPvO+z+CJO57A/1n3f/DRyo9i5MwIvD1e5CkKttjsKf2sLTY78hQFLpcLXV1ds9vwDCV6PoiMYpceih8hydGihuRMJhPmz58vzRYynv3hVZfJZEJZWZnueljaJ3IZVpmY48XFxQCAwUhEVzmvGn3/r6/8Gj944wc44TkBVaMBzkSZmA+ioNixo9gRQrKJjOc8nuN+nmNkvXMM0ecKMh6ndJkUE24suxEP3PIANpg3AKDd4EbLpHwQDcUuPRQ/QpKzzHUDyOyTbRspz/7wqou1HpZyIpdhlWk5XltbCwA4EAzCG4mk/EyNA8EgACBnaQ7++53/xn+/898oyS1Bzbwa1M+vx83Om5Frzp3VtmeCTMsHkVDs2FHsCCHZRMZznujjfl51iVwmnXKi1mOk4cAwAPbd4L89/Vvc4bkDqx2rYVLoj6gTZWI+iIJilx6KHyGJ0SeV5FRVxdWrV6XZrsazP7zqUlUVAwMDTNuv9bZP5DKsMjHHGxoaUF1djZCmYbfPm1KZ3T4vQpoGe5Udjusc8df9Y3785sJv8Fj3Y2h5rgXfPPxN/PbCb+EL+Wan8YLLxHwQBcWOHcWOEJJNZDzn8Rz38xwj651jiD5XkPE4GSnd3eBnRs/gq69+Ffc/dz+ecD2BrstdGA2PGt7OTJOp+SACil16KH6EJEc7NSRnMpmwcOHCuW6GYXj2h1ddJpMJ5eXlTNuv9bZP5DKsMjHHFUVBa2srWlpa0OZ2Y01+QdIH+R0ZHkab2w0A+PR9n4bdYcepwVNT3jcaGcWhK4dw6MohKFCwwr4CNRU1WDNvDZaXLM+Kh4xlYj6IgmLHjmJHSOY4evQoAKCmpgY9PT3wer2oqakBAPT09GDXrl2oqqpCT08P7r//ftjt9jlsrZhkPOfxHPfzHCPrnWOIPleQ8TgZKd3d4I5V0QunhsaH8Nve3+K3vb9FjikHNztvRu38WlSXV6OsoGz2OiCoTM0HEVDs0kPxIyQ5WtSQnKZpCIfDsFgsUvxBk2d/eNUVq0fvtkKW9olchlWm5nhTUxP27NmDzs5ONPdewDanE1ts9kmTD28kgt1eL9o8boQ0DZs2bcK/ffHfYLFYMDg6iCNXj6D7SjeOu48jrIUn/XwNGk57T+O09zQ6TnWgNK8U1RXVWDtvLW5y3oQCSwHvLnORqfkgAoodO4odIZnjySefxFNPPQUA2LBhA3bu3Bn/3j333IMjR44AiC5wtLS0TPo+iZLxnMd73M9zjKxnjiH6XEHG42Sk2G5wl8uF3T4vmh0zL0DEdoPPWzVv0m7wmHF1HEf7juJoX3RBeGnJUqypWIM1FWuwyr4KZpO+W11lokzNBxFQ7NJD8SMkOVrUkJymafB4PKioqJDiJMizP7zq0jQNXq8X8+fP111Ob/tELsMqU3PcYrGgo6MDjY2N6OzsxOP9/Whzu6MP9jOZ4VUjeCUYxNi1ieimTZvw7LPPwmKJnrZL80uxYekGbFi6AcPjw3D1udB1pQuufhdGwiNT6hsMDWL/hf3Yf2E/LCYLbnDcgJqKGtTMq8F8q77cE1mm5oMIKHbsKHaEZI61a9dicHAQACbtwujp6Zn0vqqqKuzbt49n0zKGjOc8nuN+nmNkvXMM0ecKMh4nI6WzG/yfH/5n3PWxu3Dk6hEcvnoYx93HMa6OTylzzn8O5/zn8IvTv4A1x4pbym/Bmoo1uKX8FtjybLPWt7mUqfkgAopdeih+hCSnaFn21Bm/3w+bzQafz4eSkpI5aYOqqujr60NFRYXuWw4R+VA+ZLdwOIwdO3agra0NLpdryverq6uxbds23HvvvfEFjaQ/Tw3j5MBJHO07imN9x3AxcHHGMvMK5+GW8lvw/vL348ayG1GYk3jyQ/ii8wOZiPKBTCRKPogwttbjqaeewv333z/t6zt37sTzzz8ff23FihXYuXNn/PZUyYgQB1FygoiB8iE7hcNhbN68GZ2dnchTlJR3g//iF7+YNNcYCY/gtf7X0H2lG8f6jiEwHpix7hW2FVgzbw2qy6uxwr6CHjYuMDo/kIkoH8hEIuRDquNqoXdq0D1v06dpGsbHx5GTkyPFyi7P/vCqK1YPy+2n9LZP5DKsMj3HLRYLmpubsXXrVnR1deHQoUO4ePEiFi1ahIaGBtTX1+vql8VkwY3OG3Gj80Z85n2fwdXgVRzrO4YjV4/gzYE3EVbDU8pcHb6K5849h+fOPQezYsZ1pdfh/eXvxy3lt2C5bXlGTUgyPR/mEsWOHcWOkMzh9Xqxa9cuAEB3dzceeOABVFVVwev1Tvv+gYEBjq3LDDKe83iP+3mOkfXefkrkuYKMx8lo6e4GjymwFKBhQQMaFjQgokZw2nsax/qO4VjfMZz1n5227jO+MzjjO4Ndp3ahOKcYNzlvwvvL34/3l78fzgLnbHd91mRyPsw1il16KH6EJCf0ogbd8zZ9mqZhcHAQ5eXlUpwEefaHV12apsHv92PBggW6y+ltn8hlWMmS44qioKGhAWvXrsXJkyexevXqlHZmzGSedR7uXH4n7lx+J0bCIzjuPo5jfcdwtO8oBkcHp7w/okVwYuAETgycwLMnn0VxTjFuLr8Z73dGJySiPxxQlnyYCxQ7dhQ7QjLHxAuhqqqq8LGPfQxnzpxJ+P5Eix2hUAihUCj+td/vBxC9uk1VVcPaq4eqqtA0bdbrV1UVHo9H90OoRcarTzxjF4lE4PP5MG/evJQ/m1jax6tMOuX0yvQcLygowJ49e7Bjxw488cQTcLlc2B+YvNOiuroan/3sZ+O7wZOdNxQoWGVfhVX2VWi8rhGDo4P4ff/vcaz/GF7vf33aW98OjQ3h1Uuv4tVLrwIA5lvnRxc4nO/HDY4bMmpneKbnw3To8yIz8Dzn8cgHkhlEyIdU6xb69lNPPfUUGhsbAUy95+3ERQ0AKC0tjd8fNxnaGk5EQ/lAJuKVD5qm4Zz/HFz9Lvy+//c4NXBqysPGp7O4aDFuct6Em5w34QbHDSjKLZq1NhI6P5DJKB/IRKLkgwhjaz2OHj0a3/nt9XpRWlqKM2fOYN++fXjyySenzC927tyJDRs2TPk5X/3qV/G1r31tyuunTp1CcXHx7HUgCVVV4fP5YLPZ6BxBKB8IgOiY/9ixYzh27BjcbjecTifWrFmDNWvWGHIhRkSNoCfQg+ODx/GG9w1cGr40YxkTTFhevBzX267HDfYbsLRoKcyK/A8cFwmdH8hElA9kIhHyYWhoCNddd11m334KwLS3lNq3bx8cDsek1xwOx6RJConSNA1jY2PIzc2V4upRnv3hVVesHpbbT+ltn8hlWMma47O93qwoCpbZlmGZbRn+eOUfYyQ8ghOeE/h9/+/xWv9ruBScfkLSG+hFb6AXvzr7KyhQsNy2HDc5b8KNZTditWM1CiwFs9rumciWDzxR7NhR7AjJDEePHsUdd9wx5UIoh8OBDRs24Mknn5xSpra2dtqf9eUvfxkPPvhg/Gu/34/KykqUl5fP6YVTiqLM+hWdMp7zeI/7ecQuEolgfHwc5eXlMJtT+4Ox6HMFGY8TD3feeSc+9rGP4dKlS1i4cGHK+ZCqBViAD+ADAAD3iBuufhde738dxz3HMTw+PG2Z8yPncX7kPJ678hwKLAW4oewG3Fh2I95X9j4sKV4i1O1vZcsHgD4vMgWv+PHKB5IZRMiH/Pz8lN4n9KKGEfe8zeat4YB8t8SQ8bZGqqpiaGgofuKYzfaJXIaVbDnOmg/pyjPlobq8GtXl1QCAvuE+vO5+Ha/1v5ZwQqJBQ4+3Bz3eHvzH6f+ASTFhpX1l9JkeZTfiOvt1yDHncOsDIGc+0OeF+Hh+Xsz1VmAiDlHyYa7r16OqqgqPPvpo/Ot9+/bh7rvvht1un3IhVU9PD2praxM+sy8vLw95eXlTXjeZTHP6BwFFUWa9DZqmYWhoSKrPC1594hk7TdMQDAZ15QNL+3iVSaecXrLmuN58YFFhrcDHrR/Hx5d9HKqmosfbg9fdr+P3/b/H24NvT7szfCQygqN9R3G0L/pM1aKcIryv7H24sSw6p1hUvGhOFzlkzAeAPi8yAc/48cgHkjnmOh9SrVfoRQ0j7nn7yCOPTLs1vL+/H6Ojo0Y1VZfYVh5N07glSH9/P5d6eOHZn9muS1VVmEwm9Pf3M+UDS/tELsNKlhxPNx+MdHP+zbi58mZEFkdwLnAOJ7wncNJ3Eu8E3kFEi0xb5o3+N/BG/xsAgBxTDqqKq7C6ZDVWlqzE0qKlyDHNziKHpmk4evQofv/73yMQCKCoqAi33HILampqMnoATZ8XmYXH5wXvfCDiEiUfhoaG5qxuvex2O2pra/HYY4/BbrfjzJkzk57Jt3PnTjz88MOoq6tDd3c3Pa8vAUVRUFFRMdfNMBSvPvGMnaIocDgcusZBLO3jVSadcqLWwxNLPqTLpJiwsnQlVpauxKdWfSq+Mzx24VRvoHfacoHxALqudKHrShcAoDi3ePIiR9Eirv2QMR94odilh+JHSHJCL2r09PTEbydVVVWFnp4e9PT0wG63T9mVMTAwMO2VVNm8NRyI/qFvdHQU+fn5Gf2HvRie/eFVVyQSwdjYmK6t4aztE7kMK9lynDUfZtuCeQtwK24FAIyGR3Fq8BSOe47jDc8beMf3TsLbZfUEe9AT7AEuAznmHKy0rcT1jutxveN6rCpdlfbtqsLhMJ555hl897vfhcvlmvL96upq/PVf/zWampoMefA6b/R5kRl4xU6ErcBEHKLkQ6rbw0VRU1OT8Ha1E3dy3H333TyblVFk/Lzg1SfeY+RQKKTrlqaizxVkPE68sOSD0QosBaiZV4OaedFzsGfEg9fdr+N19+t4w/MGBkenf0bq0NgQDl0+hEOXDwEAbLk23OiM3qrqesf1WFQ0Ozs5NE3DoUOH0N3djcHBQZSWlqKurg4NDQ3S5MVsk/F3iSeKHyHJCfsXHqPueZvNW8OB6ElwZGQEhYWFUpwEefaHV12xevTmA0v7RC7DStYcn+tzVDKFuYWonleN6nnVAIDgeBAnPCfwhucNHHcfx/mh89OWG1fHcWLwBE4MngDOXHtIoG05bii7Ib7QUZyb+sNVg8EgGhsb0dnZCQDIUxSst1pRajZjMBLBgWAQLpcLDzzwAPbu3YuOjg5Yrda0+88bfV6Ij2fs5norMBGLCPlAuZidgsFgxi1ozYRXn3jGbnh4+ucZJMPSPl5l0iknaj08seTDbCorKMPtlbfj9srboWkargSv4A3PG9F/7jfgG/NNW8435sOBSwdw4NIBANHbVa12rMb1juuxunQ1quxVae0Oj100tX379oQXTbW2tmbsRVO8yfi7xBPFj5DEFG0ul+qT8Hq96OjowP333w8A2LVrF5599tn4NvC1a9fiyJEjAKI7Oh544AE8//zzM/5cv98Pm8024xPUZ5Oqqujr60NFRQVNBAnlA5lEhnzwhXx4w/MG3vS8iePu47gcvJxy2criSlzvuB7vc7wPqx2rUVZQNu37wuEwNm/ejM7OTuQrClqdTmyx2WGfsLvFG4lgt8+LNrcbIU3Dxo0bsXfv3oyafMiQD8Q4lA9kIlHyQYSxtQhEiIMoOUHEQPlAJsq0fNA0DZeCl/CG+434vMI/5k+pbI4pByvtK3GD4wasdqzGdaXXoTCnMKWyqVw0Fbr2J7SNGzdm7EVTmZYPZHZRPpCJRMiHVMfVwv5lh+55a4zY1aMFBQVSXHnLsz+86orVo3d9kaV9IpdhJWuOC7renBJbng3rF67H+oXrAQADowN4y/MWTgycwFsDbyXcyQEAF4Yu4MLQBTx/LrpI7ch3YHXpaqwqXYXVpaux1BZ9LsczzzwTX9BoX1yJmsKpExW72YxmRxmq8wtwX+8FdHZ2YseOHWhubp6djmc42X6XeKLYEUKyiYznPN7jfp5jZL23nxJ5riDjceIl0+YYiqJgUdEiLCpahI8v+zg0TUNvoDe6wOF+E2963sTQ+PTPdBpXx3Fi4ARODJwAEN0dvqRkyaRFjukunAqHw/EFjVQumurs7ERjY2PGXTTFk4y/SzxR/AhJTugzL93z1hixk6AsePaHV11jY2NM5VjaJ3IZVrLlOGs+iMqR78D6ReuxflF0kSMwFsBbA2/hrYHoQkePtwcq1GnLDowO4NXLr+LVy68CuPbwcVsVfvD4DwAArU7ntAsaE60tLMQ2pxOP9/ejra0NW7dupUFhArL9LvFEsSOEZBMZz3m8+sQzdixjStHnCjIeJ14yeY6hKAoqiytRWVyJO5fdCVVTcTFwEScHTsbnFf0j/dOWVaHirP8szvrP4pdnfwkgOj9ZVboKq+yrcF3pdaiyVWHHMzvooqlZIOPvEk8UP0ISE/b2U7OFtoYT0VA+kImyMR9GwiM4PXgaJwZO4E3PmzjtPY1xdTzh+z1vefDCF19AnqJg/4qVk66eSsQbieAjZ04jpGk4ePAgGhoajOzCrMnGfCCJUT6QiUTJBxHG1iIQIQ6i5AQRA+UDmSgb8sE94p60yHFh6AI0pPbnLjPMePHBF3H17at4qLwczY7pb4E70dMDHjze34/q6mocPXo0oy6ayoZ8IKmjfCATiZAPGX/7KWIMTdMQDAZhtVoz6kM2EZ794VWXpmkYHh5muv2U3vaJXIaVjDnOkg+ZrMBSgJvLb8bN5TcDAMYj4+jx9eDU4Cm8Pfg2Tg6ehDfkjb9/4PQAAGC91ZrSggYQvapqvdWK/YEAuru7M2ZRgyfZfpd4otgRQrKJjOc8nuN+nmNkvWNK0ecKMh4nXrJhjuEscMK5yIkPLPoAgOju8FODp+KLHGd8ZxBWw9OW7XurD1ffvoo8RcEWmz2l+rbY7Ghzu+FyudDV1UXzi2nI+LvEE8WPkORoUSMLjI8nvuI5E/HsD6+6wuHpB1czYWmfyGVYyZbjrPkgixxzDlY7VmO1YzWA6GCuf6QfpwZP4dTgKVzRrgAASlNc0Iixm6LvP3n5JPxjfpTkZu8VxYnI9rvEE8WOEJJNZDzn8eoTz9ixjClFnyvIeJx4ybY5RlFuEWrm1aBmXvSW5rELp972vh2/eGpgNHqxFF00NXtk/F3iieJHSGK0qCE5RVFQWlo6180wDM/+8KpLURSUlJToXnlnaZ/IZVjJmOMs+SAzRVFQUViBisIKfHDRBzF88zBewksYjER0/RyvGn3/K55X0PJcCyoKK7DSvhIr7Cuw0r4Sy23LkWfOm40uZATZfpd4otgRQrKJjOc8nuN+nmNkvWNK0ecKMh4nXmiOMfXCKQDwjHjwtvdtfPOFb+IYjjFfNPXi2y/ixvM3YoV9BRYVLYLZpO/nyErG3yWeKH6EJEeLGpLTNA2BQABFRUVSDGB49odXXbEthSy3n9LbPpHLsJIxx1nyIZvU1tYCAA4Eg/BGIik/U+NAMAgAcKxyAAD6hvvQN9yHA5cOAABMMGFx8WIsty2P/1tashQFlux4MJtsv0s8UewIIdlExnMez3E/zzGy3jGl6HMFGY8TLzTHmF5ZQRnKCspw24rbsBM7mS+aOhs6i++99j0AQJ45D8tKlmGFfQWqbFVYaV+JedZ5MCnZ96wCGX+XeKL4EZIcLWpkgYjOD2bR8ewPr7pUVWUqx9I+kcuwki3HWfMhWzQ0NKC6uhoulwu7fd6UHuS32+dFSNNgr7LDcZ1j2veoUHF+6DzOD53Hb3t/CwBQoGCBdcGkhY5lJctQlFtkaJ9EIdvvEk8UO0JINpHxnMerTzxjxzKmFH2uIONx4oXmGIkZddEUAIQiIZwcPImTgyfjr+Wb87G0ZCmW2ZZheclyLLMtw+Lixcgx5RjcE/HI+LvEE8WPkMRoUUNyiqLAbrfPdTMMw7M/vOpSFAXFxcVMt5/S2z6Ry7CSMcdZ8iGbKIqC1tZWtLS0oM3txpr8AtQUFiZ8/5HhYbS53QCAr3/p67jt1ttw2nsap72nccZ7BoOhwYRlNWi4FLyES8FLeOXSK/HXKwoqJi10LLcthy3PZlwn54Bsv0s8UewIIdlExnMez3E/zzGy3jGl6HMFGY8TLzTHSC6di6bmXzcfC29YiJAaSvje0cjolIUOi2LBouJF0bnEtYUO2XaJy/i7xBPFj5DkaFFDcpqmYWhoSJoBDM/+8KortqWwvLxcdzm97RO5DCsZc5wlH7JNU1MT9uzZg87OTjT3XsA2pxNbbPZJV1V5IxHs9nrR5nEjpGnYtGkTHmh+ABaLBTeX3xx/n2fEgzPeMzjtPY13fO/gHf87GBobSlp/30gf+kb6cOjKofhrjnwHlpVEJyNLipdgqW0pFlgXZMxWc9l+l3ii2BFCsomM5zye436eY2S9Y0rR5woyHideaI6RXLoXTf3lH/wlLgUuocfXg9Pe0+jx9uCs/yzG1cQPeQ5rYZzzn8M5/zn8Br+JtgMK5lvnY1nJMiyzLcOykmUZffGUjL9LPFH8CEmOFjUIIYRkHIvFgo6ODjQ2NqKzsxOP9/ejze3GeqsVdpMZXjWCV4JBjF27b/CmTZvw7LPPwmKZ+rEXu5du/YJ6ANHBo2fUE13giP3zv4PB0cQ7OgBgYHQAA6MDONp3NP5ajikHS4qXoLKkEstKlmFJyRIsLV4q7e2rCCGEEEIIyUSsF03de++9MCnRZ/MtLl6M2xbfBgAIq2FcGLqAd3zv4Kz/LN7xvYNz/nMIRRLv6NCg4XLwMi4HL+PVy6/GX7fl2rCkZEn0wqmSpagsqURlUSVyzPLfvooQQhJRtCx7UpTf74fNZoPP50NJScmctEFVVfT19aGiogImU2ZcwUtmD+UDmYjyQZ9wOIwdO3agra0NLpdryverq6uxbds23HvvvdMuaOjhHfXGJySxf30jfUw/K7arI7bIsaRkCRZYF8Bsmnz/Xh75oGkaDh06hMOHD8evBKqtrUVDQwNdESQYOj+QiUTJBxHG1iIQIQ6i5AQRA+UDmYjyITXBYDB+0RQA5CnKjBdNWa3WlH++qqm4HLyMs76z8XnFWd9ZDI0n3yU+HRNMWFC0AEuKl8QXPJaULEF5QfmMY3jKBzIR5QOZSIR8SHVcTTs1JKdpGnw+H2w2mxR/nOLZH151xbYUstx+Sm/7RC7DSsYcZ8mHbGWxWNDc3IytW7eiq6sLXV1d6O/vR3l5Oerr61FfX29YXtjz7ajOr0Z1RXX8tcBYIL6T4x3fOzjvP49LgUtQkfxBjIl2dVQWV2JJ8RIsLl6MyuJKLLIuwmxdexAOh/HMM89g+/btCReEWltb0dTUlPaCkOxkOw8RQkgyMp7zeI77eY6R9Y4pRZ8ryHiceKE5RmqsViv27t076aKp/YHApPekc9GUSTFhUdEiLCpahA8s+gCAd3eJn/WdxTv+d+ILHu4Rd9KfpULFxcBFXAxcnLSrI9+cH1/kqCypjF9AZc1JffElXbGLprq7u+Nzs7q6OrpoSicZz0WEGIn+SpEFzGbzzG/KIDz7w6su1tVPlvaJXIaVbDlOV0fopygKGhoaUF9fj0AggKKiIi4Dv6LcItxcfvOkZ3SMR8ZxIXAB5/3ncc5/Lv7fma7AGlfH0ePrQY+v590XNcCsmbHcsRyVxZWoLK6Mbm0vWgxHvoO5j4muQis1mzEYieBAMAiXy4WWlhbs2bMHHR0duq5Cy0aynYcIISQZGc95vPrEM3YsY0rR5woyHideaI6RmukumvJ4PCgrKzP8oikgOo9xFjjhLHCidn5t/PWhsSGc9Z3FuaFzuOC/gHND59A71Jv0OR1A9KHkpwZP4dTgqUmvl+aXYnFR9MKpBdYFKBwrRKG9ECX5xu0upIumjCfjuYgQo9Dtp+aACFt5iDgoH8hElA9y0jQNg6HB+AJH7N+Muzo0YDw8jhxLDvCeuZM1xxqfmMQWOiqLK2HLS34lTzgcxubNm9HZ2Yl8RUFrovsF+7xoc0fvF7xx40bs3buXJh9zjM4PZCJR8kGEsbUIRIiDKDlBxED5QCaifJBDRI3gyvAVnPefj/4biv5X9y1xJ8wx7Pl2LC5ajEXFi7C4aHH82SAlufo+y1K5aCp07c+PGzdupIumBELnBzKRCPlAt58iAKJ/SPN6vbDb7VJsV+PZH151aZoGv9/PdPspve0TuQwrGXOcJR9IlKj5oCgKHPkOOPIdk25fNR4ZR2+gF+f953HWfxYXhqI7PHxjvhl/ZnA8iJODJ3Fy8OSk14tyilBZXImFRQuxsGghFhUtwkLrQpQXlsOkmPDMM8/EFzTaF1eiprBwys+2m81odpShOr8A9/VeQGdnJ3bs2IHm5ua0YyEjUfOOEEJmg4znPJ7jfp5jZL1jStHnCjIeJ15ojsFOpHwwm8zx21etW7gu/vpIeATn/eejc4mhdxc8guPBGX+mN+SFN+TFcc/xSa+X5JZgUdGi+CJHZVF0fmHPmxqHcDgcX9BI5aKpzs5ONDY20kVTMxAp9wgREZ09skBOTs5cN8FQPPvDqy7WD3KW9olchpVsOU4Du/RkUj7kmHOw3LYcy23L8WF8OP760NgQLgxdwAX/Bbx15S0MqoPoDfZiaGzmhwgGxgM4MXACJwZOTK7LlIP5hfPxs3/9GQCg1emcdkFjorWFhdjmdOLx/n60tbVh69atNKBOIJPyjhBC0iXjOY9Xn3jGjmVMKfpcQcbjxAvNMdiJng8FlgKsdqzGasfq+GuxZ3XELpq6GLiI3qFeXAxcxGh4dMaf6R/zwz/gnzKnyDfnY1HRIiwoWoCF1uhFVC/tfokumpolouceIXOJPtUkpygKioqK5roZhuHZH151KYqCwsJC3X8oZGmfyGVYyZjjLPlAomTJh+LcYryv7H24vvR63FJwS3zrpy/kQ+9QLy4ELqB3qDf6/0MXEBgPzPgzx9VxuA67cPHUReQpCrbY7Cm1ZYvNjja3Gy6XC11dXWhoaEizd/KRJe8IISQVMp7zeI77eY6R9Y4pRZ8ryHiceKE5BrtMzYeJz+pYU7Em/rqqqegP9uP4heMI5ARwKXgpPq8Yjcy82DEaGcUZ3xmc8Z0BEF08ef5bzwOgi6aMlqm5RwgvtKghOU3TMDAwAIeD/YGyIuHZH151aZoGn8/HdPspve0TuQwrGXOcJR9IlGz58F62PBtseTbc6Lwx/pqmafCGvPEFjt5A9Aqsi4GLU3Z2DJweAACst1onbQdPxm42Y73Viv2BAH76/E9Rel0pFlgXoDi32LiOZTjZ844QQiaS8ZzHc9zPc4ysd0wp+lxBxuPEC80x2MmWDybFhPLCctxYeuOke+ZrmoaB0QFcGLoQ39XRG4gudgyHhxP+vIGTA/D2eOmiqVkgW+4RYjRa1MgCBQUFc90EQ/HsD6+6cnNzmcqxtE/kMqxky3HWfCBRsuXDTBRFQWl+KUrzS3Fz+c2Tvucf8+Ny4DIuBS7hUvASfmT+EQCgNMUFjRi7Kfr+F99+EZdfuQwg+uyO+db58X8LrAuwwLoA863zYc3Jvof+ZVveEUKym4znPF594hk7ljGl6HMFGY8TLzTHYCdjPryXoigoKyhDWUHZpGcAapqGwdAgLg5dxMXgxfjc4nLwMtwj7rQvmvpfP/hf+Oj4RzHfOh/zrPMwv3B+fE5RlEu7FLIh9whhRYsakottM5UFz/7wqktRFBQUFDDdfkpv+0Quw0rGHGfJBxIlWz6kqyS3BCWOkvj9dQdvGMSv8CsMRiK6fo5Xjb7fUvDusCEwHsBp72mc9p6e8v7i3OL4ZGSBdQHmF87H/KLo/xdY5BuYU94RQrKJjOc8nuN+nmNkvWNK0ecKMh4nXmiOwU7GfNBDURQ48h1w5DumXEAVioTwD93/gGM4xnzRVCAQwNvet/G29+0p7ynKKcK8wnmTLqSKfV2SWyJ9Pmd77hEyE1rUkJymafB4PCgrK5PihM+zP7zq0jQNg4ODTLef0ts+kcuwkjHHWfKBRMmWD0arra0FABwIBuGNRFK6msobieBAMAgAcKxypFTP0NgQhsaGcGrw1JTv2XJtqCisQEVhBeYVzov+1zoP8wrnoTS/FCbFpKNHc0vTNBw6dAjd3d24evUq5s2bh7q6OjQ0NFD+EUKkJeNnLc9xP88xst4xpehzBRmPEy80x2AnYz4YJc+chyXlSwDAkIum3iswHkDAF4g/v2OiQkvhpIWO2PyiorACZfllMJv0LbKIiHKPkORoUSMLWK1y3QaEZ3941cW6+s7SPpHLsJItx+lqjPTIlg9GamhoQHV1NVwuF3b7vGh2lM1YZrfPi5CmoXpNNX5w/w9wZfgKLgcv40ow+t+rwavoH+mHBi2lNvjGfPCN+aa9GstisqCioGLSQkds8aO8sFyYXR7hcBjPPPMMtm/fDpfLNeX71dXVaG1tRVNTEywWGmoRQuQj42ctrz7xjB3LmFL0uYKMx4kXmmOwkzEfjJLuRVN3fuhOFDoLcTV4Fe4RN1SoKdU7HB5Gj68HPb6eKd8zwQRngRPzrPNQXlA+aT5RUVgh/C6PiRdODQ4OorS0lC6cImQaNNOWXGybqSx49odXXYqiIC8vj+n2U3rbJ3IZVjLmOEs+kCjZ8sFoiqKgtbUVLS0taHO7sSa/ADVJJrhHhofR5nYDALa1bsPC4oVYWLxwyvvGI+O4MnwFV4Lv/rscvIzLwcsYGB1IuX1hNYxLwejzP9A/9fuxXR4TFzxi/xz5Di67PILBIBobG9HZ2QkAyFMUrLdaUWo2Y/DaBM3lcqGlpQV79uxBR0cHTYQJIVKR8bOW57if5xhZ75hS9LmCjMeJF5pjsJMxH4yUzkVTa9aswT//+T/H83I8Mo7+kf53L54avhqfW/QP96e84KFCRd9IH/pG+qb9fr45HxWFFSgvLI/PKcoLyuOLIPmW/NQDYCC6cIoQfei3QHKapqG/vx/l5eVSDGB49odXXZqmYWBggOn2U3rbJ3IZVjLmOEs+kCjZ8mE2NDU1Yc+ePejs7ERz7wVsczqxxWafdFWVNxLBbq8XbR43QpqGTZs24d577034M3PMOagsrkRlceWU74UiIVwNXo1PTK4Gr+Lq8FX0DffBPeJGREt9q3qyXR5mxYyy/DI4C50oLyhHeWF59L/X/t+R74DFlN6wJxwOxxc08hUFrYli5/Oize1GZ2cnGhsbsXfvXpp4EEKkIeNnLc9xP88xst4xpehzBRmPEy80x2AnYz4YKZ2LplpbWyfFNMecg4VFC7GwaJqLqNRxuIfd8YWO2M7xK8ErcI+4EdbCKbd5NDKK80PncX7o/LTft+Xa3p1LFJajrKAsPq9wFjhRmGP8rie6cIoQ/WiGnQVsNttcN8FQPPvDq66ioiKmciztE7kMK9lynDUfSJRs+WA0i8WCjo6O+KD58f5+tLndWG+1wm4yw6tG8EowiDEtejupTZs24dlnn2X+o3yeOQ9LSpZgScmSKd+LqBF4Rj24GowucsQWO2L/DYwHUq4nokWSXpFlggml+aUoL4xORiYueMQmKDnmnKR1PPPMM/EFjfbFldNO2OxmM5odZajOL8B9vRfQ2dmJHTt2oLm5OeW+EEKI6GT8rOXVJ56xYxlTij5XkPE48UJzDHYy5oORZuOiqffKMeVgQdECLChaMOV7qqZiYHQgOo+4dmvc2Jyif7gfg6FBXf2JXUh12nt62u8XWgqj84dCJ5wF7/6LzS9K8kp07SCnC6cIYaNompbaTbAl4ff7YbPZ4PP5UFJSMidtUFUVfX19qKiogMmUOQ9EJbOD8oFMRPlAJprNfAiHw9ixYwfa2toSbm/etm0b7r333jkbLAfGAtGFiuG++CTl6nD0n3s49XvupsqeZ48vdMQmJmUFZSjLj/677dbb4HK58FB5eUpb658e8ODx/n5UV1fj6NGjaV/dR+cHMpEo+SDC2FoEIsRBlJwgYqB8IBNRPpCJZiMfEu00SHbRFK+dBmORMfQN96F/pD968VTw2vxiJDq/GI2MGlpfjikHZfllk3Z5xOYWzgInHPmOSRdTtbe3o6WlJemFUzFHhodxX+8FhDQN7e3thlw4RecHMpEI+ZDquJqW9CSnqmp8q6QMJyee/eFVl6qq8Hg8cDqduuphaZ/IZVjJmOMs+UCiZMuH2WSxWNDc3IytW7eiq6sLXV1duHLlCubPn4/6+nrU19fP+Rb7otwiFOUWocpWNeV7E3d59I/0wz3ijt/Sqn+kHwMjA7oXPbwhL7wh77S3t/K85YHL5UKeomCLzZ7Sz9tis6PN7YbL5UJXVxcaGhp0tYcQQkQk42ctz3E/zzGy3jGl6HMFGY8TLzTHYCdjPswGq9WKvXv3Trpoan9g8q7rubpoKteci8XFi7G4ePGU72mahsB4YNLOjtgFVZ5RD/qH+zGmjumqb1y99rzB4SsJ32PLtaGsoAyleaVoe7wNANDqdCZd0ACAtYWF2OZ0Rnfbt7Vh69atcz5nI2Su0KKG5BRFQWlpqTQnOZ794VWXoigoKSlhelC43vaJXIaVjDnOkg8kSrZ84EFRFDQ0NKC+vh7j4+PIycnJiPiZTeb4Q8KnE1bDGBgdiC5yDPejfyT6zz3sRt9IHwZGBnTde3fgdPSB5+ut1klbwZOxm81Yb7VifyCAvfv3YsmNS+AocCDPnJdyvYQQIhoZP2t5jvt5jpH1jilFnyvIeJx4oTkGOxnzYbZMd9GUz+eDzWYT5qKp91IUBcW5xSjOLcYK+4op39c0Df4xP9wj7kn/YvML94hb1y1zY2K3uPK85cGFty7QhVOEMKBFDckpioLc3Ny5boZhePaHV12KojD9EZGlfSKXYSVjjmfKH5VFJFs+8CRb7Cwmy7uLHtPcKUrVVAyODk7Z4TFxgjKujsffHx6JLoCUprigEWM3Rd//Xyf+C2d+cwYAUJxTDEeBA2X5ZXDkO1CaXwpHviP+/6X5pSjOKabzACFESLJ9XgB8x/08x8h6x5SizxVkPE680ByDnYz5MNtiF03J8Md2RVFgy7PBlmebdtEDAEbCI3CPuOEZ8cTnEf3D/fH5hXfUm3AHeboXTv2vH/wvfCj0IZQVROcVE+cXpfmlKM0rhTXHSr/7REq0qCE5Ee6FZiSe/eFVl6qqcLvdTLef0ts+kcuwkjHHWfKBRMmWDzxlW+xMiin6vIyCMqx2rJ7yfVVTMTQ2BM+IB55RD75/5Pt4Ha9jMBLRVY9Xjb7fUvDukGtofAhD40M45z+XsFyOKQeleaXxBY/S/FLY8+wwjZpQZa5CWWEZSvNLadcHIYQ7GT8veI77eY6R9Y4pRZ8ryHiceKE5BjsZ84GXbIldgaUAlcWVqCyunPb7E3eQxxY/PKMeeEY8uKxeBsB+4VQgEMBZ/1mc9Z9N+N4cU867c4pr84vYgocj3wFbrg3hSOo72AkRBS1qSE5RFJSVlUmzKsuzP7zqUhQFdrudaaeG3vaJXIaVjDnOkg8kSrZ84IliN5lJMcWvyqpCFSKfiOC7X/0uDgSD8EYiKV1J5Y1EcCAYBAA4Vjl01T+ujkcfkj7S9+6LGjAeHkfOOznAtcNkzbHGJydl+WXxSUps54c9zw57nh1mk76JEiGEJCLj5wXPcT/PMbLeMaXocwUZjxMvNMdgJ2M+8EKxi5q0g/w9rF1WvIyXDblwKpFxdTz+nJBpXZtjFOcXT1nwiP1//HW6qIoIhBY1JBfbZioLnv3hVZeiKLBYLEyDer3tE7kMKxlznCUfSJRs+cATxS65hoYGVFdXw+VyYbfPi2bHNPe0eo/dPi9Cmoabb7kZ37732xgIDcSv0vKMeDA4OoiB0QH4Qj7dDzWPCY4HERwPojfQm/A9CqL3Co4tcNjz7fH/L80rnfR1gaWAzj+EkKRk/LzgOe7nOUbWO6YUfa4g43HiheYY7GTMB14odjOrra0FAOYLpzbethG2eTZ4Rj0YGBmAb8zH3JbR8CguBy/jcvBy0vdZc6yw59lhy7O9O7+49m/iayV5JTAp8u7QIXOPFjUkp6oqrly5gvnz50ux3Y9nf3jVpaoq+vv7mW4/pbd9IpdhJWOOs+QDiZItH3ii2CWnKApaW1vR0tKCNrcba/ILUFNYmPD9R4aH0eZ2AwC+8Lkv4H3O9yV8b0SNwBvyYnB0EIOhQXhGPfCOejEwGl0EiS1+DI8PM7VdQ/QBh/4xP84PnU/63lxTbnzhozSvFLY8G0rzr/03r3TSZIV2fxCSnWT8vOA57uc5RtY7phR9riDjceKF5hjsZMwHXih2M0vnwqk1a9bgn/7snyYtVo5HxuENRecRsfnFwOgABkOD0bnGtflGcDzI3ObYRVUXAxeTvs8EU/TCqvypCx7vXQSh534QFoqmadpcN4Inv98Pm80Gn8+HkpKSOWkD7/sKRiIRmHXen09kPPvDoy5VVXH58mUsWLBAdz6wtE/kMqxkyvF08oFEyZYP9HkhjnA4jM2bN6OzsxN5ioJtTie22OyTrqjyRiLY7fWizeNGSNOwadMm/OIXv4DFkv51JMNjwzh98TTMRWYMjg2+O0mZ+N/QAMLq7N8TN7b7I7bwEZuslOSWwJZni/839v8WE11HYzRR7lMtwthaBCLEgWdOyPh5watPvOphHVOKPleQ7TjxQnOM9MiYD/R5IY729na0tLQgT1Hw9OLKGS+cuq/3AkKahvb2djQ3NzPVGYqE4oscnhEPzvedRyQvEl38mLAAMhoZZe2WLhaTBbZc25Rd5SV5JbDl2lCSVxKfXxTlFNEOkFkkwhwj1XE1zTCzgGyrnTz7w6su1npYyolchhXlOJmI4seOYpecxWJBR0cHGhsb0dnZicf7+9HmdmO91Qq7yQyvGsErwSDGrl0vsmnTJjz77LOGLGgAQL4lHxUFFagoSzzA1DQNQ+ND716JNToYvUorFP2vd9Qb/W/Ii1AkxNyWibs/MDTz+4tyiuILHCV5JZMWQGy5tkkLIXQLLELEJ+PvqOjjfl51iVwmnXKi1sOTjH3ihWLHjmI3s6amJuzZswednZ1o7r2Q8oVT9957L3OdeeY8zLfOx3zrfKiqipWWldP+EXskPBKfU0zc8eEL+eJzCl/Ih8B4gLktQPRh6p7R6APUMcMdtGI7QCYueMTmE8W5xZPmFSW5JTS3kBgtakhOtu1+Mt7WSFVVeDwe3augIm8Pl/E48cKaDyRKtnzgiWKXGqvVir1792LHjh1oa2uDy+XC/sDkQXx1dTW2bduGe++917AFjVQpihJdOMgtwdKSpUnfOxIegXf03QUPX8gXn6RMXATxj/mhIb2NvYHxAALjAVxE8m3qAJBjykFJbsmUq7Mm7QDJjU5aSnJLkGOmezUTwpOMnxcy3taIZUwp+lxBxuPEC80x2MmYD7xQ7FIz1xdOJVNgKUBBUQEWFi1M+r7xyDh8Y75J84mJix6x/0/3wioAUKFG6xrz4QIuzPh+i8kyaQ4xcdfHxP/G/j/XnJtW+wg/dPupOcB7K4+qqlJ9gPDsD4+60vmgZ2mfyGVYyZTjNPBLn2z5QJ8X4tI0DV1dXeju7obf70dJSQnq6upQX18/K1cDzdVW4IgagX/Mj8HQtQnKtd0eg6HBSf/vD/m5bVGfKN+cH5+cxBY6kv23MKdQii3rImwNB8QYW4tAhDjwzAkZPy949YlnPawLByLPFWQ7TrzQHCM9MuYDfV6IJxwOT7pw6r1m68Ip3mPKkfBIfKEjdjGVb3TqIogv5ENYm/3b6r5XvjkfxbnFk/7F5hGT/uVE/1uUW4QckzwXWYkwx6DbT5E42datePaHV12s9bCUE7kMK8pxMhHFjx3FTh9FUdDQ0ICGhgap7xdsNplRml+K0vzSGd8bioTgD/nhC0WvnvKH/PCGors9fCFf/L++kA9DY0NQoabdvtHIKEaHR9E33JfS+2Nb1mPb1mMTldi/905eaDcIIVPJ+Hkh+rifV10il0mnnKj18CRjn3ih2LGj2KXOYrGgubkZW7dujV845fP5YLPZZvXCKd4KLAUosBRgvnV+0vdpmobgeDB+y9uJcwn/mD8657g23/CN+RAYC6S9uxy4NrcYGUX/SH/KZQosBVMXP3KKpy6EXHtPUU4RzCY554480aKG5FRVxdWrV6W5IoNnf3jVpaoqBgYGMG/ePN1XUeltn8hlWMmY4yz5QKJkyweeKHbsKHbvyjPnobywHOWF5TO+V9VUDI0NvTs5uTYhiS16xP7fH4pOZIzaBTJxyzpSvP1vvjl/0iSlKLcIxTnFsOZa45MWa070/4tyilCcW0z37yXSkvGcx3Pcz3OMrHdMKfpcQcbjxAvNMdjJmA+8UOzYxC6cqqury+odVoqioCi3CEW5RViI5Le/AqK7ywPjgSmLHbGLqSZedOUb82EkPGJYW0fCIxgJj6R8kRUQfeZgbN4QX+zIjb5WlFsUnVtcm2/E3kvzi8no9lNzQIStPEQclA9kIsoHMhHlA5ko2/NhNDw6ZafH0PhQdGHk2sKHf8wfXygxcqLCwgRTdPEj990Fj4mLHxNfj01einOLkWvKTWmyIko+iDC2FoEIcRAlJ4gYKB/IRJQPZCLKBzJRtubDeGQ8OrcYe/ciqtgukKGxoSn/AuPG7ARJh1kxT1r0iP1/bNHDmmtFSU7JpIWQotzoYkiqt98VIR/o9lMEQHS7VjgchsVikWI1j2d/eNUVq0fv+iJL+0Quw0rWHM+y9WbDyJYPPFHs2FHs+Mi35CPfko+KwoqU3j+ujiMwFnh3oSPkh3988iTFH3p3EWRobMjQ+/aqUOMLLXrkmHLe3QmSY0VJbkl00nJt0aMoJzqJsVqsGA2Owjxihr3ALtW9fInYZDzn8R738xwj6xlTij5XkPE48UJzDHYy5gMvFLv0UPxmV445B2UFZSgrKEvp/aqmIjAeQGAsMGn+MGluMfG18SEEx4OGtjmiRd7dca6DCab4fGLSRVXXFkImXnhVYC5AaCSEwrFClOSLfcESLWpITtM0eDweVFRUSHES5NkfXnVpmgav14v585PfT3C6cnrbJ3IZVjLmOEs+kCjZ8oEnih07ip2Yckw5KT8LBIgex5HwyKTdHtP9d2hsCIGxQHxSY8RzQSYaV8cxODqIwdHBGRoMjIfHkfNmDr5Y90XUzq81tB2EJCLjOY/nuJ/nGFnvmFL0uYKMx4kXmmOwkzEfeKHYpYfiJxaTYoo/gy9V8VtizbAAErttVjAcNHwhBIhebDU0Hl1omdG1OcaqC6vw6G2PGt4WI9GihuRMJpNUAxee/eFVl8lkgtPp1L2ti6V9IpdhJWOOs+QDiZItH3ii2LGj2MlBURQU5hSiMKdwxgcXxqiaipHwSHyRIzYpCYwFMDQ+FL+SKzgenHTFltGTleLcYkN/HiHJyHjO4znu5zlG1jumFH2uIONx4oXmGOxkzAdeKHbpofhlPrPJDFueDbY8W8plImokurgxFozPHWLzidg8Y7r/BseDht4eqyinyLCfNVtoUUNymqZhfHwcOTk5Uqzs8uwPr7pi9bDcfkpv+0Quw0rWHKet4WxkyweeKHbsKHbZy6REt3Jbc6yYh3kpl4tNVmKLHu9dCIktkATHg/CP+aOTmLFAwoelF+YUGtUlQmYk4zmP97if5xhZ7+2nRJ4ryHiceKE5BjsZ84EXil16KH7ZyWwyx3eELMCClMupmorh8eH4Akd8jnFtnpFscWS6nefWHKuR3ZoVtKghOU3TMDg4iPLycilOgjz7w6suTdPg9/uxYEHqJ6tYOb3tE7kMKxlznCUfSJRs+cATxY4dxY7oNXGyosd4ZDw6IRkfwlBoCL19vcgpyoGzwDlLLSVkKhnPeTzH/TzHyHrHlKLPFWQ8TrzQHIOdjPnAC8UuPRQ/oodJMUUfGp6rb4dF7Ba8E58X0tvXi2Xzls1OQw1EixqSM5lMmDcv9SsHRcezP7zqMplMKCsrY7r9lN72iVyGlYw5zpIPJEq2fOCJYseOYkd4yTHnwG62w55vh2pV4Qg7UFFRQZ8ZhCsZz3k8x/08x8h6x5SizxVkPE680ByDnYz5wAvFLj0UP8LDxFvwVhRWQFVVzFPnoaKsYq6bNiP6RJOcpmkIhULSbDPl2R9edWmahrGxMabbT+ltn8hlWMmY4yz5QKJkyweeKHbsKHaEkGwi4zmP57if5xhZ75hS9LmCjMeJF5pjsJMxH3ih2KWH4kdIcrSokQV8Pt9cN8FQPPvDq65AIMBUjqV9IpdhJVuOs+YDiZItH3ii2LGj2BFCsomM5zxefeIZO5YxpehzBRmPEy80x2AnYz7wQrFLD8WPkMTo9lOSUxQFFRXibxlKFc/+8KpLURQ4HA7d90hkaZ/IZVjJmOMs+UCiZMsHnih27Ch2hJBsIuM5j+e4n+cYWe+YUvS5gozHiReaY7CTMR94odilh+JHSHK0U0NymqZhZGREmu1qPPvDq650tl/rbZ/IZVjJmOO0xZSdbPnAE8WOHcWOEJJNZDzn8Rz38xwjs9wWSuS5gozHiReaY7CTMR94odilh+JHSHK0qJEFgsHgXDfBUDz7w6uu4eFhpnIs7RO5DCvZcpw1H0iUbPnAE8WOHcWOEJJNZDzn8eoTz9ixjClFnyvIeJx4oTkGOxnzgReKXXoofoQkRrefkpyiKHA6nXPdDMPw7A+vuhRFQWlpKdPtp/S2T+QyrGTMcZZ8IFGy5QNPFDt2FDtCSDaR8ZzHc9zPc4ysd0wp+lxBxuPEC80x2MmYD7xQ7NJD8SMkOdqpITlN0zA8PCzNdjWe/eFVVzrbr/W2T+QyrGTMcdpiyk62fOCJYseOYkcIySYynvN4jvt5jpFZbgsl8lxBxuPEC80x2MmYD7xQ7NJD8SMkOVrUyAIjIyNz3QRD8ewPr7rGxsaYyrG0T+QyrGTLcdZ8IFGy5QNPFDt2FDtCSDaR8ZzHq088Y8cyphR9riDjceKF5hjsZMwHXih26aH4EZIY3X5KcoqioKysbK6bYRie/eFVl6IosNlsTLef0ts+kcuwkjHHWfKBRMmWDzxR7NhR7Agh2UTGcx7PcT/PMbLeMaXocwUZjxMvNMdgJ2M+8EKxSw/Fj5DkaKeG5DRNQyAQkGa7Gs/+8Korne3XetsnchlWMuY4bTFlJ1s+8ESxY0exI4RkExnPeTzH/TzHyCy3hRJ5riDjceKF5hjsZMwHXih26aH4EZIc7dTIAuPj43PdBEPx7A+vusLhMFM5lvaJXIaVbDnOmg8kSrZ84Ili9/+3dz+5bRttHMd/Sgu4XTShVGRTNAtTN5DkE0S6AZWeIOa+CwteFV0F8g2knMCRbiDewBVvYHpRoChaQGLiFG0Wlt6FIb6ULDsWYw//fT9AgUimxCH19OE8GM4wOc4dkH9BEGg8Hsu2bQVBoMPDQ1mWlXazMqmIOc/UMZk8d0n6lFmvFYr4O5lCjZFcEePBFM7dl+H8AbfL7aAGRcf9VCoVVavVtJvxYEwej6l9VSoVPX36NNHyU7u2L8ufSaqIMZ4kHnCtaPFgEucuOc4dUAzdblfT6VTSda3x+vVrjUajlFuVPUXMeSb7/Sb7yLv2KbNeKxTxdzKFGiO5IsaDKZy7L8P5A+6W2+Wnut2ujo6O5DiOHMfR69ev025SJi2XS11eXhZmuprJ4zG1r+VyqX/++SfR9Otd25flzyRVxBhPEg+4VrR4MIlzlxznDsi/IAjWXtu2Lc/zUmpNthUx55ns95vsI+/ap8x6rVDE38kUaozkihgPpnDuvgznD7hbLgc1KDp2c3V1lXYTHpTJ4zG1r8VikehzSdqX5c8kVbQYTxoPuFa0eDCJc5cc5w7IN8/zVKvV1t6r1WryfT+lFmVbEXOeqWMyee6S9CmzXisU8XcyhRojuSLGgymcuy/D+QNul8tBDYqO+6tUKrIsqzDTTE0ej6l9VSoVfffdd4mWn9q1fVn+TFJFjPEk8YBrRYsHkzh3yXHugPwLw3Dr+7PZzGxDcqCIOc9kv99kH3nXPmXWa4Ui/k6mUGMkV8R4MIVz92U4f8DdcvlMjV2Kjk+fPunTp0/R6w8fPki6vkshrTsVFouFlsulkf2vpqsVpQNj8nhM7evq6kqXl5f6/vvvd/pckvZl+TNJFS3Gk8YDrhUtHrhe5IOpc2cyHpB9WYmHtPf/2G6rO8pcYxTxemHqmEyeuyR9yqzXCkX8nUyhxkiuiPHA9SIfqDGQhizEw333nctBjdtsKzrevHmjX3/99cb7f//9t/777z8DrbppsVjo/fv3Wi6XevLkcSfLrNbO/PfffwtxETF5PKb2dXV1pQ8fPuivv/7SV1999ajty/JnkipajCeNB1wrWjxwvcgHU+fOZDwg+7ISD5eXl6nt+yFZlnXjBqnZbCbLsrZuX+Yao4jXC1PHZPLcJelTZr1WKOLvZAo1RnJFjAeuF/lAjYE0ZCEe7ltf5HJQY5ei4/j4WD///HP0+sOHD3rx4oWeP3+up0+fPnZTt1osFqpUKnr+/DkJA1osFnry5AnxAEnEA9ZxvUAc8YC4rMTDN998k9q+H1K73dZgMLjxfqvV2ro9NQayjj4l4ogHxHG9QBzxgLgsxMN964tcDmrsUnTs7e1pb28ver1cLiVJHz9+TO3HWSwW+vjxo7799lsjd96+f/9ez549K8TIuMnjMbWvq6sr/fnnn/rmm292nqmxa/uy/JmkihbjSeMB14oWD1wv8sHUuTMZD8i+rMTDx48fJf2/j51Xtm2vvQ6CQK1W69aZGmWuMYp4vTB1TCbPXZI+ZdZrhSL+TqZQYyRXxHj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"text/plain": [
"<Figure size 1600x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Visual inspection guide:\n",
"✓ Look for smooth curves between data points (good)\n",
"✗ Look for wild oscillations or wiggles between points (overfitting)\n",
"✓ Polynomial should interpolate naturally without excessive curvature\n"
]
}
],
"source": [
"# The following was written by AI - see [6]\n",
"# Select 4 different conditions to visualize\n",
"# Each condition has 13 gap height measurements (one complete parameter set)\n",
"condition_indices = [\n",
" (0, 13, '-15A, -15A, 0°'), # First condition\n",
" (13, 26, '-15A, -15A, 0.5°'), # Same currents, different roll\n",
" (91, 104, '-15A, -10A, 0°'), # Different right current\n",
" (182, 195, '-15A, -10A, 1°') # Different right current and roll\n",
"]\n",
"\n",
"fig, axes = plt.subplots(2, 2, figsize=(16, 12))\n",
"axes = axes.flatten()\n",
"\n",
"for idx, (start, end, label) in enumerate(condition_indices):\n",
" ax = axes[idx]\n",
" \n",
" # Get condition data\n",
" condition_data = magDf.iloc[start:end]\n",
" currL = condition_data['currL [A]'].iloc[0]\n",
" currR = condition_data['currR [A]'].iloc[0]\n",
" roll = condition_data['rollDeg [deg]'].iloc[0]\n",
" \n",
" # Create fine grid\n",
" gap_fine = np.linspace(5, 30, 500)\n",
" X_condition_fine = pd.DataFrame({\n",
" 'currL [A]': [currL] * 500,\n",
" 'currR [A]': [currR] * 500,\n",
" 'rollDeg [deg]': [roll] * 500,\n",
" 'invGap': 1/gap_fine # Use inverse gap height for modeling\n",
" })\n",
" \n",
" # Predict with best degree polynomial\n",
" X_condition_poly = poly_best.transform(X_condition_fine)\n",
" y_condition_pred = model_best.predict(X_condition_poly)\n",
" \n",
" # Plot polynomial curve\n",
" ax.plot(gap_fine, y_condition_pred[:, 0], '-', linewidth=2.5, \n",
" color='#2ca02c', alpha=0.8, label=f'Degree {best_degree} Polynomial')\n",
" \n",
" # Plot actual data\n",
" ax.scatter(condition_data['GapHeight [mm]'], \n",
" condition_data['YokeForce.Force_z [newton]'],\n",
" s=100, marker='o', color='#d62728', \n",
" edgecolors='black', linewidths=1.5,\n",
" label='Ansys Data', zorder=5)\n",
" \n",
" # Formatting\n",
" ax.set_xlabel('Gap Height (mm)', fontsize=11)\n",
" ax.set_ylabel('Force (N)', fontsize=11)\n",
" ax.set_title(f'currL={currL:.0f}A, currR={currR:.0f}A, roll={roll:.0f}°', \n",
" fontsize=12, fontweight='bold')\n",
" ax.legend(fontsize=10, loc='best')\n",
" ax.grid(True, alpha=0.3)\n",
" \n",
" # Add vertical lines at data points\n",
" for gap_point in condition_data['GapHeight [mm]'].values:\n",
" ax.axvline(gap_point, color='gray', linestyle=':', alpha=0.2, linewidth=0.8)\n",
"\n",
"plt.suptitle(f'Degree {best_degree} Polynomial: Multiple Operating Conditions', \n",
" fontsize=15, fontweight='bold', y=1.00)\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"print(\"Visual inspection guide:\")\n",
"print(\"✓ Look for smooth curves between data points (good)\")\n",
"print(\"✗ Look for wild oscillations or wiggles between points (overfitting)\")\n",
"print(\"✓ Polynomial should interpolate naturally without excessive curvature\")"
]
},
{
"cell_type": "markdown",
"id": "81a46ab5",
"metadata": {},
"source": [
"### Find Worst-Performing Segment\n",
"\n",
"Let's identify which parameter set has the worst R² score to showcase model performance even in challenging cases."
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "35f4438e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total segments analyzed: 637\n",
"\n",
"Worst performing segment:\n",
" Rows: 1261 to 1274\n",
" Parameters: currL=15A, currR=15A, roll=-3.0°\n",
" R² Score: 0.999302\n",
"\n",
"Best performing segment R²: 0.999992\n",
"Mean R² across all segments: 0.999934\n",
"Median R² across all segments: 0.999953\n"
]
}
],
"source": [
"# The following was written by AI - see [7]\n",
"# Calculate R² score for each 13-row segment (each parameter set)\n",
"num_segments = len(magDf) // 13\n",
"segment_scores = []\n",
"segment_info = []\n",
"\n",
"for i in range(num_segments):\n",
" start_idx = i * 13\n",
" end_idx = start_idx + 13\n",
" \n",
" # Get actual and predicted values for this segment\n",
" segment_actual = y.iloc[start_idx:end_idx, 0].values # Force only\n",
" segment_pred = model_best.predict(poly_best.transform(X.iloc[start_idx:end_idx]))[:, 0]\n",
" \n",
" # Calculate R² for this segment\n",
" segment_r2 = r2_score(segment_actual, segment_pred)\n",
" segment_scores.append(segment_r2)\n",
" \n",
" # Store segment info\n",
" segment_data = magDf.iloc[start_idx:end_idx]\n",
" currL = segment_data['currL [A]'].iloc[0]\n",
" currR = segment_data['currR [A]'].iloc[0]\n",
" roll = segment_data['rollDeg [deg]'].iloc[0]\n",
" segment_info.append({\n",
" 'start': start_idx,\n",
" 'end': end_idx,\n",
" 'currL': currL,\n",
" 'currR': currR,\n",
" 'roll': roll,\n",
" 'r2': segment_r2\n",
" })\n",
"\n",
"# Find worst performing segment\n",
"worst_idx = np.argmin(segment_scores)\n",
"worst_segment = segment_info[worst_idx]\n",
"\n",
"print(f\"Total segments analyzed: {num_segments}\")\n",
"print(f\"\\nWorst performing segment:\")\n",
"print(f\" Rows: {worst_segment['start']} to {worst_segment['end']}\")\n",
"print(f\" Parameters: currL={worst_segment['currL']:.0f}A, currR={worst_segment['currR']:.0f}A, roll={worst_segment['roll']:.1f}°\")\n",
"print(f\" R² Score: {worst_segment['r2']:.6f}\")\n",
"print(f\"\\nBest performing segment R²: {max(segment_scores):.6f}\")\n",
"print(f\"Mean R² across all segments: {np.mean(segment_scores):.6f}\")\n",
"print(f\"Median R² across all segments: {np.median(segment_scores):.6f}\")"
]
},
{
"cell_type": "markdown",
"id": "080f954b",
"metadata": {},
"source": [
"### Visualize Worst-Performing Segment\n",
"\n",
"Even our worst case shows excellent model performance!"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "6ceaf2b2",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1200x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Even in the worst case, the model achieves R² = 0.999302\n",
"This demonstrates excellent interpolation performance across all operating conditions!\n"
]
}
],
"source": [
"# The following was written by AI - see [8]\n",
"# Get worst segment data\n",
"worst_data = magDf.iloc[worst_segment['start']:worst_segment['end']]\n",
"worst_currL = worst_segment['currL']\n",
"worst_currR = worst_segment['currR']\n",
"worst_roll = worst_segment['roll']\n",
"worst_r2 = worst_segment['r2']\n",
"\n",
"# Create fine grid for this worst segment\n",
"gap_fine_worst = np.linspace(5, 30, 500)\n",
"X_worst_fine = pd.DataFrame({\n",
" 'currL [A]': [worst_currL] * 500,\n",
" 'currR [A]': [worst_currR] * 500,\n",
" 'rollDeg [deg]': [worst_roll] * 500,\n",
" 'invGap': 1/gap_fine_worst\n",
"})\n",
"\n",
"# Get predictions\n",
"X_worst_poly = poly_best.transform(X_worst_fine)\n",
"y_worst_pred = model_best.predict(X_worst_poly)\n",
"\n",
"# Extract actual data\n",
"gap_worst_actual = worst_data['GapHeight [mm]'].values\n",
"force_worst_actual = worst_data['YokeForce.Force_z [newton]'].values\n",
"\n",
"# Create the plot\n",
"fig, ax = plt.subplots(1, 1, figsize=(12, 7))\n",
"\n",
"# Plot polynomial curve\n",
"ax.plot(gap_fine_worst, y_worst_pred[:, 0], '-', linewidth=2.5, \n",
" label=f'Degree {best_degree} Polynomial', color='#2ca02c', alpha=0.8)\n",
"\n",
"# Plot actual data points\n",
"ax.scatter(gap_worst_actual, force_worst_actual, s=120, marker='o', \n",
" color='#d62728', edgecolors='black', linewidths=1.5,\n",
" label='Ansys Data', zorder=5)\n",
"\n",
"# Formatting\n",
"ax.set_xlabel('Gap Height (mm)', fontsize=13)\n",
"ax.set_ylabel('Force (N)', fontsize=13)\n",
"ax.set_title(f'Worst Case Performance (R² = {worst_r2:.6f}) - currL={worst_currL:.0f}A, currR={worst_currR:.0f}A, roll={worst_roll:.1f}°', \n",
" fontsize=14, fontweight='bold')\n",
"ax.legend(fontsize=12, loc='best')\n",
"ax.grid(True, alpha=0.3)\n",
"\n",
"# Add vertical lines at data points\n",
"for gap_point in gap_worst_actual:\n",
" ax.axvline(gap_point, color='gray', linestyle=':', alpha=0.3, linewidth=0.8)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"print(f\"Even in the worst case, the model achieves R² = {worst_r2:.6f}\")\n",
"print(f\"This demonstrates excellent interpolation performance across all operating conditions!\")"
]
},
{
"cell_type": "markdown",
"id": "a8f24086",
"metadata": {},
"source": [
"## Torque Prediction Analysis\n",
"\n",
"Now let's examine torque predictions. Torque is influenced by multiple variables:\n",
"- **Roll angle** (primary driver of torque asymmetry)\n",
"- **Current imbalance** (currL vs currR difference)\n",
"- **Gap height** (via invGap feature)\n",
"\n",
"We'll visualize torque accuracy by sweeping across roll angles first, then examining current variations."
]
},
{
"cell_type": "markdown",
"id": "d896f5a7",
"metadata": {},
"source": [
"### Overall Torque Prediction Accuracy\n",
"\n",
"First, let's check the overall R² score for torque predictions across all data."
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "c120048d",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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AAG1s/fr1Ouqoow7YT+gOgeTkZEmNJzslJSXM1UQGj8ejrVu3qkePHgf9qxE6LsY48jHGnQPjHPkY486BcY58jHHoOZ1O9e3b158HD4TQHQK+S8pTUlII3SHi8XjkdruVkpLCD4UIxRhHPsa4c2CcIx9j3DkwzpGPMW49h7rFmLMNAAAAAEArIXQDAAAAANBKCN0AAAAAALQSQjcAAAAAAK2E0A0AAAAAQCth9fI2tmfPHu3evTvcZbR7Ho9Hu3fvltvtjqjVFWNjYxUdHR3uMgAAAAC0EUJ3G/F6vdq8ebPsdnu4S+kQvF6vPB6PXC7XIZfg72iMRqN69uwZce8LAAAAQFOE7jbiC9wZGRnq0qULgesQvF6vGhoaFBMTEzHnyuv1ateuXaqqqpIk9erVK8wVAQAAAGhthO42sGfPHn/g7tatW7jL6RAiMXRLUmJioiSpqqpKGRkZXGoOAAAARLjIuVm2HfPdw92lS5cwV4L2wPc54N5+AAAAIPIRuttQJM3Y4sjxOQAAAAA6D0I3AAAAAACthNCNIzZz5kwZDAalpaUpLS1NBoNBAwYM0MyZM0Ny/AULFmjgwIEyGAwqKCgIyTEPxfeemvvy1TB8+HDl5+e3ST0AAAAAOjYWUkNQjEajampq/K/Ly8s1ceJELV68WCUlJUd8XLvdrmuuuUZWq1XDhw9vs0etbd++XUajUWvWrGnSZzQaJUnTpk3z/zcAAAAAHAwz3Qgps9mskpISlZaWqry8/IiPY7ValZ6eLrPZLElBhVyr1aoBAwYc1j5Go7HJl09OTo4sFktQxwcAAADQORC6EXImk0lGo1FLliwJdykAAAAAEFaEboSczWaT3W5XVlaWvy0/P19paWkaMGCAiouL/e25ubkqLi5WcXGxBgwYIKvVqoKCAo0bN042m01RUVEB908f6DhS4/3YAwYMkMFg0PDhw2W1WpWbm6vs7GzZbDb/vdnBXqqenZ3tv7+7NY4PAAAAIHJwT3d78NhjjV+HYjZLb70V2Hb55VJLLuO+667GLx+XSzr++AP3HyGr1ar8/Hzl5OT4Lw3Pzc2V3W7XmjVrVF1dreHDhysrK0tms1l2u11FRUWy2+0qLCyUxWKRxWJRVlaWpk6dqtWrV/sfsXWw4+Tn52vJkiUqKSmRyWTSkiVLZLfb/Ze6FxQUqKKiIuj3t7/WPj4AAACAjo3Q3R44ndLGjYferm/fpm1bt7ZsX6cz8LXXG7jf/v0tZLfbA5477QvAU6ZMkdQ4611aWqqamhr/vdGFhYWaPXu2P5TbbDatWbPmoPdtH+w4JpNJxcXFqqiokMlkkqSAe66DfU9S4yXzhGoAAAAAh4vQ3R6kpEh9+hx6ux49mm9ryb4pKYGvDYbA/fbvb6H9Vy/fn28xtf79+we073vpucViOeRCaQc7jtVqldFo9AfuYB3qPQEAAABASxG624NgLu3e/3LzlkpOljZsOLJ9D5PZbFZZWdkB+1salg90nNLS0iOuDQAAAABaEwupoVWZzWaVl5cHvbjYwY7juzfcZrMF9W8AAAAAQKgRutGqTCaT8vLylJub6w/FpaWlmjlzZsiOs3+f3W73L27m29fXbrVaQx7OW/v4AAAAADouQjdaXVFRkcxms4YPH660tDQVFRUd0UJnBzuO77+zs7P9fePHj5fUOBNuNpvVv39/FRYWhvS9tcXxAQAAAHRcBq/X6w13ER2d0+lUamqqHA6HUppZkMztdmvNmjXq37+/EhISwlBhx+P1etXQ0KCYmJgmK4l3dHweGnk8HlVVVSkjI0NRUfz9LxIxxp0D4xz5GOPOgXGOfIxx6B0qB/pwtgEAAAAAaCWEbgAAAAAAWgmhGwAAAACAVkLoBgAAAAC0G46X/6XKq67Wq1+u1cIfqlTlcoe7pKDEhLsAAAAAAAC0e7d23fl7pT7zlFIl9ex2tD667Ab9uNmpscOPUkZyx1yEmJnuNsRC8ZD4HAAAAABNbN4sjRqlLs885W86evNaHZvRVZUOt5ZvdIaxuOAw090GYmIaT3NDQ0OYK0F74Psc+D4XAAAAQKd3003S//4nSdoTE6vyO/6oVWN/qSiDQUlxMdrirA1zgUeOme42EB0drejoaDmdHfevMwgdp9Pp/0wAAAAAkPTUU1JamtyZvfTCgy/qx7G/lAwGebxe7axvUGZKYrgrPGJMtbUBg8GgjIwMVVZWKj4+XklJSTIYDOEuq13zer1qaGhQTExMxJwrr9ernTt3yul0qlevXhHzvgAAAIDDVeVqvGR8i7NWmSmJGtKntzLefluuXn21Z129Vm5xKSkuRjvrG9QrNUFD+6SGu+QjRuhuI6mpqaqtrdW2bdu0devWcJfT7nm9Xnk8HkVFRUVUODUYDDIajUpN7bg/NAAAAIBgbC//Vo7J0/Rp/h8Vl5Ki7ytdPy+WNlwZyQka2yMwkA/tk6oeyfHhLvuIEbrbiMFgUK9evZSRkaHdu3eHu5x2z+PxaPv27erWrZuioiLnLojY2FguKwcAAEDn9cYbSv3lDeq2w6XrY2P0+QNPyCNp5RaXlm906vzBCcpITtD5gzvmSuXNIXS3Me7lbRmPx6PY2FglJCREVOgGAAAAOqWGBukPf5BmzPCH0PSV3ynO6VB9qrHDL5Z2MIRuAAAAAEDr2bpVuuYaacECf9O3Iy/Udw88Kk9S14hYLO1gCN0AAAAAgNbx1VfS2LHShg2Nr6Oj5frrdC067UpVOuuUVLcrIhZLOxhCNwAAAAAgtLxeqahIuv12qb6+sa1nT2nOHCWffbbGuiJrsbSDIXQDAAAAAELrrbekm2/e+3rkSGnOHKlXL0mKuMXSDoYVqgAAAAAAIVHlcmvhD1V6NfMkbTvH0th4xx3SwoX+wN3ZMNMNAAAAAAhalcutuWUbVOlwKykuRsUT75d51FUy3/EbZcTGhru8sCF0AwAAAACOnMcj/eUvWj/QrMqu/XVsZrKiDAZ50hL1WddUxf38/O3OitANAAAAADgy1dXSdddJ77+vE7r10OdPlCqqZ4okKcpgiOjnb7cU93QDAAAAAA5febk0fLj0/vuSpISa7cos/0Ier1eSIv752y3FTDcAAAAA4PC8+GLj6uR1dY2ve/SQ/e//0LauA1W5xaWkuJiIf/52SxG6AQAAAAAt43ZLt90mzZq1t+2006SSEqX17dupnr/dUoRuAAAAAMCh/fSTlJMjLVmyt+2WW6THHpPiG4N1Z3r+dksRugEAAAAAB1Tlcuu7NVt16ugzlbRlU2NjQoJUVCTdcEN4i+sAWEgNAAAAANAs37O3P1rj0EfX3yZJcvTuq2rrxwTuFmKmGwAAAADQrOUbnap0uHVsZrKcudfoixiPFg79hU7v1l/nh7u4DoKZbgAAAABAoG+/lQoLtcVZq6S4GEUZDJIk21XXKTq9W6d/9vbhYKYbAAAAALDXv/8tTZwo1dbqpEdS9f3AkfJ4vYoyGHj29hFgphsAAAAAINXXS7feKl1/vVTbOJM96PV/qVdKvFZucWl99S6t3OLi2duHiZluAAAAAOjsNm6UcnOlzz/f2/ab3yjumWc0drd49nYQCN0AAAAA0Jl9/LE0frxUVdX4Oi5OeuYZacIESVJGgnj2dhC4vBwAAAAAOiOvV3r0Ucli2Ru4jz5aWrTIH7gRvA45011aWiqLxSJJMhqNAX3l5eWSJLPZLJvNJrvdLrPZLEmy2WwqLS2VyWSSzWZTXl6ef/+D9QEAAABAxPnzn6X779/7OjtbeuUVqXv3sJUUiTpk6M7NzW3SVlhYqClTpqioqEjFxcWSJIvFopKSkoD9ysrKJDWG7IkTJ/r7D9YHAAAAAJGkyuXWynOvVFba00qo2aadkwuUNONBKTo63KVFnA4Xuu12u0pKSpSTk+NvmzlzpqZMmSJJGj58uGpqaiQFzoLbbLaA45hMJlmt1kP2AQAAAEAkqXK5Nbdsgyod0Vo39VF5HU45sy/U2F27lZFM6A61DnlP976Bu7S0NOC11Bi297803Gq1Kj09PaAtPT1d5eXlB+0DAAAAgA6voUFJTz4pORxavtGpSodbx2YmS+ecK+9ll6nS4dbyjc5wVxmROtxM975h2m63q7q6WiaTKaCttLRUkrR48WLl5+fLZDLJbrc3e7zq6uqD9gEAAABAh7Z5swxXX63kTz6R97vvtGXa40qKi1GUwSBJijIYlBQXoy3O2jAXGpk6XOjeV0FBgQoLCwPa9l0AzWQyKTs7WxUVFQc8xoEC98H66urqVFdX53/tdDb+Rcjj8cjj8bSseByUx+OR1+vlfEYwxjjyMcadA+Mc+RjjzoFxjmCffirD+PEyVFY2vn7vPQ345W/1fWwveTweRRkM8ni92lm/WxnJaXwGDkNLz1WHDd12u11Wq7XJZeQ2m82/WrlvJXKbzSaj0dhk5rq6utp/KfqB+pozffp0PfDAA03at27dKrfbfeRvCn4ej0cOh0Ner1dRUR3yLggcAmMc+RjjzoFxjnyMcefAOEcgr1dd/v53Jd9/vwwNDZKk3RkZss+apZShg9Vv9XZtqdqihJhouRv2qF+XOB2VUK8q36PDcEgul6tF23XY0L1kyZJmHxc2atQo/0JqPunp6bJYLCoqKmpynKysLJlMpgP2NWfatGm66667/K+dTqf69u2rHj16KCUl5QjeDfbn8XhkMBjUo0cPfvBHKMY48jHGnQPjHPkY486BcY4wO3fKkJ8vw6uv+ps855yj6iefVLcTTlC3qCilpXfX8k0uVTlrlZGSqKG9U9Q9OT6MRXc8CQkJLdquw4bu8vLyJoufmUymgMvNrVarcnJyml1YzWazKSsr65B9zYmPj1d8fNMPZFRUFD+kQshgMHBOIxxjHPkY486BcY58jHHnwDhHiFWrpDFjpOXL97bdfbf017/KW13tH+PM1C7KTO0SvjojQEu/Vzps6JYUsICa1LjIWlZWlmbOnCmj0aiKioqAZ22XlJSooKBAI0aM0OLFi1vcBwAAAADt3urVUlaW9POaU+raVXrpJWnsWIl7tcPG4PV6veEuoqNzOp1KTU2Vw+Hg8vIQ8Xg8qqqqUkZGBn9tjVCMceRjjDsHxjnyMcadA+McIbxeafx4qaREOv546fXXpcGDJTHGraGlObBDz3QDAAAAAH5mMEgvvCAdc4z0pz81znQj7AjdAAAAANABVX/0P61dt1U/Hj9cmSmJGtInRRnJydLDD4e7NOyD6woAAAAAoCPxeuV84mmlXjBKx916k+wrVuvjH6s0t2yDqlw8wri9IXQDAAAAQEdRWyv95jdKueNWRe/erSSXXaPefknHZiar0uHW8o3OcFeI/XB5OQAAAAB0BGvWNK5EvnSpv+mH8b/R0lvvUZTBoKS4GG1x1oaxQDSH0A0AAAAA7d1770nXXSfV1EiS9iQm6vWb71dd7nhFGQzyeL3aWd+gzJTEMBeK/RG6AQAAAKC98nikv/xFeuCBxkeCSdKgQbL/81Vtq01V5RaXkuJitLO+Qb1SEzS0T2p460UThG4AAAAAaK+uu0567bW9r6+8UnrpJXVLTdVYV+M93FuctcpMSdTQPqnqkRwftlLRPEI3AAAAALRXubmNoTsqSnroIWnKlMbncUvKSE7Q+YMTwlwgDoXQDQAAAADt1ZgxjWH71FOlUaPCXQ2OAI8MAwAAAID2oK5O+te/mrZPm0bg7sCY6QYAAACAcFu3TsrJkRYvltxuacKEcFeEEGGmGwAAAADCqOat/6j+FHNj4JbkuftuyeEIc1UIFUI3AAAAAISDx6Mt9/xJqVdepria7ZKk7Rl9VPrwy6qKYhXySMHl5QAAAADQ1hwO1V13vTLffcffVD70TP3j5j8rNrW7um90sjJ5hCB0AwAAAEBb+vZbacwYxa9eLUnyGAx6P2eSPrzyJm3eUa+0ugZtcdaGuUiECqEbAAAAANqK1SpdcYW0a5ckaWdSip78zf3afMa5MhgMiouKUs2uemWmJIa3ToQMoRsAAAAA2srJJ0vp6dKuXXKecJKevmW61iRnyOV0KzYmSlUut4YclaqhfVLDXSlChNANAAAAAK2oyuXW8o1ObXHWKjMlUaf84xWlv/Yvuf8yQ2krtqtm607FRBlUs7NeQ/ukasJIk3oks5BapCB0AwAAAEArqfnAqnfdKVqjLkqKi9H3lS79mNpLYx95QhnJCRqbmBgQyIf2SSVwRxhCNwAAAACEmtcrPfaYUgsK9IshIxT3zL9liImRx+vVyi0uLf95dfKM5ARWKY9wPKcbAAAAAELJ5ZLGjZMmT1bUnj0a8PUXGvCfUklSlMGgpLgYVifvRJjpBgAAAIBQ+f57acwY6Ycf/E2f5E7UhotzZJDk8Xq1s76B1ck7EUI3AAAAAIRCaan0619LO3Y0vk5Nlb34Ba3IOFmV23YpKS5GO+sb1Cs1gdXJOxFCNwAAAAAEo6FBmjpVevTRvW1Dh0qvvy7jwIEau9/q5SyW1rkQugEAAADgMPkeA7atqkbZk3+jtMWf7e287jqpqEhKSpIkFkvr5AjdAAAAAHAYqlxuzS3boEqHW0mx0VqTkqE0Sd6YGBkef1y65RbJYAh3mWgnCN0AAAAAcBiWb3Sq0uHWsZnJijIY9ON9M9TFadeOOycr65pLwl0e2hkeGQYAAAAALbVzp3Z//rmS4mIU9fNstjcxUW8+8JxWDRgS5uLQHhG6AQAAAKAlVq2STj9do277pRLWrJbH65XEY8BwcIRuAAAAADiUN9+UsrKk5csVs8Ol8c/+USs3O7W+epdWbnHxGDAcEPd0AwAAAMCB7Nkj/fGP0kMP7W07/njFvvyizk3K5DFgOCRCNwAAAAA0Z9s26ZprJKt1b1turvTCC+qWnKzzw1cZOhAuLwcAAACA/X31lWQ27w3c0dHSo49Ks2dLycnhrQ0dCjPdAAAAALAPZ9EL6nrrLYraXS9J2pORqeiSOdIvfhHmytARMdMNAAAAAD+rcrn1X4dBatgtSVo3+BT965m5qhp2apgrQ0fFTDcAAAAA/Gz5Rqe+Ou5U9Z1wpxIcNSr73TRVVNdp+Uanzh+cEO7y0AERugEAAAB0buXl0rBhksGgLc5aJcXF6Lvf3CYZDJKkpLg92uKsDXOR6Ki4vBwAAABA5+TxSA880Pj87SeekCRlpiRqZ32DPL5NvF7trG9QZkpi+OpEh8ZMNwAAAIDOp7pa+uUvpf/8p/H15MnSqFEa0m+Qftzs1MotLiXFxWhnfYN6pSZoaJ/U8NaLDovQDQAAAKBzWbpUGjtWWrOm8XVUlPTXv0onnqiMqCiNHX6Ulm90aouzVpkpiRraJ1U9kuPDWzM6LEI3AAAAgM7j5ZelSZMkt7vxdffu0muvSaNG+TfJSE5g0TSEDKEbAAAAQESpcrkDZqqH9ElRRpxBuuMO6fnn92546qlSaanUt2/YakXkI3QDAAAAiBhVLrfmlm1QpcOtpLgYfV/p0vrlq3TtjDsUW7Zk74aTJkmPPy7Fc9k4WherlwMAAACIGMs3OlXpcOvYzGQZu8TK6/Xqk/U7tbOyqnGDhATpxRel554jcKNNELoBAAAARAzfc7Z31jWofF2NVm3ZoZq4JD1001+1vf+xqrZ+LN14Y7jLRCdC6AYAAAAQMTJTEtVQU6OaNevl2LVbGSnxio+NUrz5FD35aImWdesf7hLRyXBPNwAAAICIcbJjvcwF12pLXLLKbntSVQYpNTFWR6V1kX3Xbm1x1oa7RHQyzHQDAAAAiAyvvqpu5/9Cxg1rdZztW13/3gsalNFV5qPTlBQfo531DcpMSQx3lehkmOkGAAAA0CE0+yiw5ASpvl66+27pySf92+4++RS5fvUbGQwG2Xft1kZ7rXqlJmhon9QwvgN0RoRuAAAAAO1ec48C+3GzU7m9o9T9NzdIn366d+Nf/1qxzzyj0Q0G9d4npA/tk6oeyaxYjrZF6AYAAADQ7u37KLAog0Eer1d1Cz9S8v9NkbZtbdwoLk56+mlpwgTJYFCGpPMHJ4S1boDQDQAAAKDd8z0KLMpgkCSd8OrfdMrT0xXl2dO4Qd++0ty50ogRYawSaIqF1AAAAAC0e5kpidpZ3yCP1ytJ6lK5YW/gzs6WyssJ3GiXmOkGAAAA0O4N6ZOiHzc7tXKLS0lxMVo17jblff+tUi60KGnGg1J0dLhLBJpF6AYAAADQ7kVt2qjMlARtdri1a/dunWLKUMwnHyspvWu4SwMOisvLAQAAALRfDQ3aefudSj1lqCr/96W6xMXI6zVos7NW3ljmENH+EboBAAAAtE9btkjZ2Up68nHFumt1w8O/V/8Er47NTFalo/GZ3UB7x5+GAAAAAIRNlasxPPuepT2kT4oykhOkzz+XcnKkTZskSXuiY/TDNTepIbGLogwGJcXFaIuzNszVA4dG6AYAAAAQFlUut+aWbVClw62kuBh9X+nSj5UOXV/2jpLvKZB275Yk1WX01D/ueliJ55ztf0b3zvoGZaYkhvkdAIdG6AYAAAAQFss3OlXpcOvYzGRFGQwy7NqpEx64U8mfvLt3o3POkfOFl9Wwfrd/5fKd9Q3qlZqgoX1Sw1c80EKEbgAAAABhscVZ2xii6xpU+/2PGvfQ7eq9fvXeDSZPlqZPV4+YGI3NCLwMfWifVPVIjg9f8UALEboBAAAAhEVmSqLKf7Jr9dYd6rN6rTI3rpEkuRO6qK54llJ/ea1/24zkBJ0/OCFcpQJHjNXLAQAAAITFkD4p8nq9Wrd9p2yDh+vfY3+ryl799OT0f6tshCXc5QEhwUw3AAAAgLZXU6OM1FQN6pmsnfV7lBAbpdXXTtDumybK62FlckQOZroBAAAAtK3Fi6VTTpGmT9egjGT1SI7X8GPSNbhXquJTk1mZHBGF0A0AAACgbXi90qxZ0siR0rp10h/+oGE/Llav1ASt3OLS+updWrnFxcrkiChcXg4AAACg1X1v26w9t/xOQz6Yu7fxjDOUNmKYxianszI5IhahGwAAAECrWvXl10ocN0791q30t304apyOeuFpndC7hzIkViZHxCJ0AwAAAAiJKlfgs7SH9ElRxqKP1Hf8NUpwOSRJdfEJem3CfXplwEhdtLJGJxzTI8xVA62L0A0AAAAgaFUut+aWbVClw62kuBj9sNGhroUPqsfLTynB65Ukbe3ZV3+/81FVHj1IXbbv1E/VO8NcNdD6CN0AAAAAgrZ8o1OVDreOzUxWlMEgwy6v+i14V4afA/dnQ87SG3c8qPqkVHm8Hu2qb9Ax6UlhrhpofaxeDgAAACBoW5y1SoqLUZTBIEnydknSm394SnUpqdoy7Y8qvv1hfe2Uftq+Uz9udqlnaoIuHNIzzFUDrY+ZbgAAAABBy0xJ1Oo1W+RJS1SUwSCP16v1GX315Qdf6henH6cplQ59uHyLfqreqWPSk3ThkJ4a3Csl3GUDrY7QDQAAACA4dXU6/ZH7NPS/n+m5v76k+OSu2lnfoF6pCTr+xL6SpBN6peqEXjx7G50PoRsAAADAEdv2/SrFXj1eqd8sVRdJv/r3I/rs3kKetw38jNANAAAA4IjUvP2ekn55nRIdNZKk3XHxqjh+mEYdn6mMZJ67DUgspAYAAADgcHm90owZMl55qT9w7+jdVx8Wz9XHZ1yi5RudYS4QaD+Y6QYAAADQcg6HdOON0htvyPBz06YzztVn9z+h+lSjkqp3aYuzNpwVAu0KoRsAAABAyyxfLo0ZI61aJUnyGgz6aPzN2nTrZEVFR8vj9WpnfYMyUxLDXCjQfhC6AQAAALTMnDn+wK20NDlmvagfu52oyq07lRQX41+xfGgfVikHfAjdAAAAAPyqXG4t3+jUFmetMlMSNaRPyt5F0f70J+nzz6Xt26W5c2Xs319j99ueFcuBQIRuAAAAAJKkrS63Xl+6SZUOt5LiYrRyXbV+3OzU2OFHNQbv6Ghp9mwpMbHxS1JGcoLOH8xK5cCBsHo5AAAA0Mltdbn1zQa7nv24QovXVis5IUbdl36hW2++WNsW/k+frtq+d+P0dH/gBnBoHXKmu7y8XJJkNptls9lkt9tlNpslSTabTaWlpTKZTLLZbMrLy5PRaAyqDwAAAIhUVS63Xi/fqF1Oh37a7tUmu1unzntZN75TpGjPHuU/NVWFmUfprEHdePY2cAQ6ZOguKipScXGxJMlisaikpMTfl5ubq7KyMkmNQXrixIn+/iPtAwAAACLV8o1OVTrdOt6YqNraWt345AM69+uP/f2bex6t3Z7G7biMHDh8HTJ0Dx8+XDU1NZIUMBtts9kCtjOZTLJarUH1AQAAAJFsi7NWSbExSv1plX77x7uU9lOFv2/eRTfog/G3KMOYxLO3gSPUIUO3pGYv/bZarUpPTw9oS09PV3l5uZYsWXJEfb7L1gEAAIBIlJmSKMPcucp+6g+Krd0lSdoR30XP/fqPcl14iU5JTdAmh5tnbwNHqEOGbrvdrtLSUknS4sWLlZ+fL5PJJLvd3uz21dXVR9zXnLq6OtXV1flfO51OSZLH45HH42nZm8BBeTweeb1ezmcEY4wjH2PcOTDOkY8xjnANDTrtuelKevJxf1Nl34F6/OaH5Bk4SN1jo7XJUateKQka0iuZz0EHxvdy6LX0XHbI0L3vImcmk0nZ2dmqqKg44PYHCtVH2jd9+nQ98MADTdq3bt0qt9t9wOOh5TwejxwOh7xer6KiWGQ/EjHGkY8x7hwY58jHGEe2mB9+ULfnn/W//slykVb/8a/K6WZUza562XfVy9glTsd0S5Cn1qEqrjDvsPheDj2Xy9Wi7Tpk6LbZbP7Lvn2rjdtsNhmNxiaz09XV1TIajUfc15xp06bprrvu8r92Op3q27evevTooZSUlBC8Q3g8HhkMBvXo0YMfChGKMY58jHHnwDhHPsY4wmVkyPvkk9Lvfifn/ferz5Qp6hsdHe6q0Ar4Xg69hISWLSzY4UJ3eXm5Ro0a5V9IzSc9PV0Wi0VFRUVN9snKypLJZDqivubEx8crPj6+SXtUVBQf4BAyGAyc0wjHGEc+xrhzYJwjH2PcsVW53Fq+0aktzlplJidoSO9kZaR22btBXp48556r2tRUJUdHM84RjO/l0GrpeexwodtkMqmwsND/2mq1Kicnxz9jvS+bzaasrKyg+gAAAICOqsrl1tyyDap0uJXq2a3jn/ijNvTpIz3/+N5nbhsM0qBBUlVVeIsFIlSHC91Go1FZWVmaOXOmjEajKioqAp6nXVJSooKCAo0YMUKLFy8OSR8AAADQES3f6JRt60713rZB42bcqT7rVkmSvjn9dGXcemN4iwM6CYPX6/WGu4iOzul0KjU1VQ6Hg3u6Q8Tj8aiqqkoZGRlc/hKhGOPIxxh3Doxz5GOMO46Ay8hTEjWkT4reWLpBNbPn6Xcv/llJtTskSbXxXfS/+2Zq9H2/9e/LOEc+xjj0WpoDO9xMNwAAAIBA+15GnhQXo+8rXVq5sUZDih/TyDnF/u029+6n+375gIacdrpGh7FeoDMhdAMAAAAd3PKNTlU63Do2M1lRBoNia7Zr2O/zNPDrz/3bfDX8fD17wzTVxiepSzwxAGgrfLcBAAAAHdyqKpe2uurkcu/WcRtW6rqH71Lylk2SpD1R0frwhjv14QXXqG9CrNy7PRqY0TXMFQOdB6EbAAAA6MCqXG6t2uySbesOZXaN17nPPeQP3O707nr/D4+rvP/J6hkXo531DTL1SNLQPqlhrhroPAjdAAAAQAe2fKNTBoNBR3dLkqt2t4om3q8H/nyjtvftr5Q3X9eZvXsrZZ8F1ob2SVWP5Phwlw10GoRuAAAAoINoboXyLY5d6t41XgMzumqjvVbO1AQ9cV+xep16kiYcZ5IknT84IcyVA50XoRsAAADoAJpboXzXW+8o+7ViPT/lSSWlZWpwzxR5vF6tTDxRpj7dwl0yABG6AQAAgA4hYIVyr1cnvviUhv7t/xTl9erqogf0j9tnKCk+VjvrG9QrNYH7toF2gtANAAAAtHNVLrc+WblFP23bpYQdDl339B90zBcf+fv7JkXp/P6pqqzzct820M4QugEAAIB2rMrl1sufrdXSdQ4Zf/xON776Z/Xe3rg6uScqSmtun6oBj/xF50ZFhblSAM0hdAMAAADt2HvfbNZ731bq/K8+0OR5/6eEhnpJkrOrUR/f/7jOyLtaInAD7RahGwAAAGiHqlxufbpqu/7x8ffKe+NZXb3kHX/fd32O04t3zlRB3gVcRg60c4RuAAAAoJ3xrVS+eG21fvHV/IDA/fZpl+qJS3+rswYeReAGOgBCNwAAANAO7PsM7i2OOm201yo5IVZf/OIyffzj5zpjdZkevvJ2vWu+QDHRUTqlb1q4SwbQAoRuAAAAIIx8l5G//12ldu/x6qi0RK3c4pLXKx2d3kWJiXF6/Pp79fzGDaroY1JclEEnH5WqkYO6h7t0AC3AigsAAABAmPguI3/7m43aUFMrj71Glz90p36x6TvZd9XL6/WqR3K8DOlp2tT/WKUnxev0Ad30u/MHcWk50EEw0w0AAACEQZXLrVe+WKcvbNsleXX8tp80Zda9yti8Tsf9WK5vpr6oDTVxOq5nsnbv8Sija7wuHNJLIwd1J3ADHQihGwAAAGhjvhnuL9Zs1466Bg3/7D1Nff0xJe6ukyRFN+zWSfXbVW8arMzUeJ1zXIaG9kklbAMdEKEbAAAAaGPLNzpV6XDr6K4xyvrHIxr36ev+vh97DdBztxbquDNO1nXD+xK0gQ6O0A0AAAC0gX1XJ/9hs1PJ1dv068K71P/HZf5t3hmWrf8bc6fOH3qMcgjcQEQgdAMAAACtzHc5eaXDraS4GCV+/pkmPHOP0lzVkqTdMbF66vLf6btLr9ZZ6V1kykgicAMRgtANAAAAtDLf5eTHZiYrfodTlz91t+J3uiRJVcYMPZ7/oLafeIpG9DVqk8OtzJTEMFcMIFR4ZBgAAADQiqpcbr3/baXKf6rWO19v0lc1Hv3vrj9LklYNPU2Ff/2XNg8+WZkpCdrkcKtXaoKG9kkNc9UAQoWZbgAAAKCVVLncevmztVqyrlr2nbsVH1OvjY5aVfU7Q+sKnlS/X+ao4Og0/73emSmJrFIORBhCNwAAANAKVlQ69PzHFery9pu6ccOPevGyPEkG1e7eo9VVO9TDfLYuOzpdPZLjdf7ghHCXC6CVELoBAACAEFtR6dDD7yzX+f94Ur9cNEeStCrjGH19zqWKiY5SfEyUju2Zwow20AkQugEAAIAgrah06MPlW/RT9U4dk56kXes36Y7CO3VyxTL/NqfYvtaXZ16s9KRYJcXHamBG1/AVDKDNELoBAACAI+B77vay9dVa8H2V3Ls9SkmIlfezzzXtpT8p07lNktQQFa1HL8jXS+ZLFOusVVJCjEb0SmaxNKCTIHQDAAAAh2nf525/t9GhjTW16pUSr3Ffva3cfz+qmD0NkiSHsbuKfzdDX/Q8TvFbd+qY7km64fR+GjmoO5eWA50EoRsAAAA4TPs+d/ub9XZ1i9qjO//1kEaXz/dvU95vqGbeeL/qumdqV32DTj7aqGkXHa/BvVLCWDmAtkboBgAAAA7TFmetkuJiFGUwKL1rnG58+ZmAwF167jgtu3mKTk9L9t/nfeGQngRuoBMidAMAAACHKTMlUd9XuuTxenVi71S9cvFNOuuHz9W1vlaPXj1Vq865UNPOHkTIBkDoBgAAAA7XkD4p+nGzUyu3uJQUF6PM4/rp6d8VKsqYplTzSZrGrDaAnxG6AQAAgBbwrVZes36Tzih+ROf9+UFt6pmiLc5ajeifrqGXncjiaACaIHQDAAAAzahyubVo1TZ9vd6u6l312mx3q/9P36vghT+o27ZK1W/cpCHvvaPzB2eEu1QA7RihGwAAANhPlcutlz9bq//+uFVbd9Rp+4465Sz7QA98+Lzi9uyWJHVb8bW+XfydMiwjwlwtgPaM0A0AAADsZ/lGp75eb9f2HXWq37FLf333GY3/5kN//w/9h+ilO2bq5JQMnRnGOgG0f4RuAAAAYD9bnLWy79qttK2VKpz9Fw2pXOXv+/epl2v2uNvUJaGLRqckhrFKAB0BoRsAAADQ3oXStjhrtcVRpxOXf65p//qrjLUuSVJtTLzuveh3+mCYRV3dXo08OlFD+6SGuWoA7R2hGwAAAJ1elcutuWUbVOlwKykuRonLlmj636YqyuuVJK1N663fjZmmlZkmJUgamJGkiSNNrFYO4JAI3QAAAOj0lm90qtLh1rGZyYoyGOQ5d6TKT89W1ucf6pPBp+u+KyZrZ5dkdY+N1rBjjLr1vEE8hxtAixC6AQAA0Cntezn5D5WNl5BHGQyN/xsVpf/ePV27Fo3U9mt+pfM3OiWDV6f0TdfIgd2Z4QbQYoRuAAAAdDr7Xk5eW79HaXNf06bYrnr3F+fLfEy6MlMSZI+KU8PEfI0ZnKExWeGuGEBHRegGAABAp1Hlcuu9bzZr7tL12mR3Ky3aownzntH4xW/LntBVucbeeqP6GJ3cN1Un9k5loTQAQSN0AwAAoFOocrn1yAc/av6KzdrhblAPxzbNnDddwyp/lCQZ3Ts0ZvVneqlnX0UZDMoZ3pfLyAEEjdANAACATuHTVdtl/X6LXO4Gnbrmaz351kx13+WQJNVFx+qvl9yqr865XL3jYxQdZSBwAwgJQjcAAAA6hYU/bpZjZ70mfjlXd3/yD0V7PZKk9amZunXsPVrfb7Ayow3aVd+gY9KTwlwtgEhB6AYAAECnULVhq56d95AuWPm5v+3j/sN1+2WTVZuUrK5eybGrXgMzk3XhkJ5hrBRAJCF0AwAAIKJVudxavsGhPz11p05Y/4MkySODnjzraj1x1jWKjo6SqXtXxcYYdKapu8YOP4pncAMIGUI3AAAAItKKSofmlW3UpxXbFBMdpWGW6/TAi3+QIyFJd19xtz42ZSnaKw3tY9StowZpaJ9U7uMGEHKEbgAAAESMKpdbyzc69enqKs3/bovstbvl8UrxMVGyH3emki6/Tda+J6s68yj1iInS0d2S9KfLTmRmG0CrIXQDAAAgIlS53JpbtkG2rTv149IfdcmXH+jlM3IUHR2l2Kgo7dq9R4svGq8Ur9TF49G5x2bowiE9CdwAWhWhGwAAABFh+UanKh1uHbtqmQqeukvdd1SrLjFJc8wXabcnSgZ5tbthj07qm6Zzj8vQ+YMzwl0ygE6A0A0AAIAOy3c5+RZnrX7Y5NTwN/+pS/7xmGI8eyRJN35eqrdOyVZ9g0ENHq88MqhXaoKG9kkNc+UAOgtCNwAAADqkRau36vH5K7V2+051qXPr3jce0wXLP/H3f9bvZN1xRYF2x8SqwSOlJsYqx3yULhraiwXTALQZQjcAAAA6DN/M9rL11ZpbtlFVrjr127Zez8x9SMduX+ff7p/nXqMnzvmldnkMSoqJ1pDMZP3uvIE6Y2D3MFYPoDMidAMAAKBD8C2UVulwa9n6GlU63Mr+4TM98p//U3J9rSTJFddF911xl9afc6FOSopVbd0eHdurq3533rHMbgMIC0I3AAAAOoTlG52ybd2p2voGrdri0tiv5+vh957w96/sfrTyr7pX9j7H6JxuXZTVL10rt7h0zrEZBG4AYUPoBgAAQIewusqp7zc7tW77LtXt9so68FRtSOmho5xb9ebx52jqhbeqLi5BSR6v6ho8WrnFxaJpAMKO0A0AAIAOocpZr7Vbd8jd4JHBINV0SdXNV96j4Ru/10vDL1OUwaAu8TE6rmdXDTvaqIEZyRraJ5VZbgBhRegGAABAu7Tv48AykxN01LxX1TX5eNUmpkoGKUrSt70G6dtegxRtkNKTYnWqqZtuPW+QBvdKCXf5ACCJ0A0AAIB2aEWlQ3//3xptqKlVRoxHN/xjhm787zsafMxJyr/+IdV5DfIapN17vIqNMejEXin65Rn9NXJQd2a2AbQrhG4AAAC0K1Uut15YtEbLNzo0xL1Ntz0zVcdsXC1JOv2nb3TOmjJ9NPA07fF4tMcr9UxJ0ENjTmJ2G0C7ROgGAABAu7Jo1TYt3+BQ1vLPdM+rDympdockqTYuUQ+O+b2WnzJSXRs82uOJUkJstG4aaSJwA2i3CN0AAABoN6pcbr29dJ1y35qlCR//29++MfNozZz4oBoGH69+uz3a4/EoOipKJ/RK1kVDe4WxYgA4OEI3AAAAwsq3YNqnq6tUXrZad778F/1iTbm/f/7gszQ9926ZhxyjSWf3V6WjrnFxtZREVicH0O4RugEAABA2i1Zv1SPv/6BVVTsU57Dr7Zfu0FHOKknSHkOUnsr+jYpPHaOeqQmacHbjZeTHM7ENoAOJCncBAAAA6JxWVDp077xv9fUGp3bWe1STmKL/9h8mSdrWxagbrvmrXjxjrLp3jVfWMWnctw2gQ2KmGwAAAG3Gdyn5otVb9fbSjdq6c3dA/wOWfHkNBj115tXabuyuOI9X3ZLjdcaAHmGqGACCQ+gGAABAm6hyufXyZ2v16aptWlHpVI/qLRpZvVGLfp7dlqS6mDjde8HvJEkxXikpLkZnDeimkQO7h6tsAAgKoRsAAABt4tNV2/VZxXat3b5Tp69aoifefkSxngZdccNjqujWN2DbKEmpCXG68cz+yh3Rl8XSAHRY3NMNAACAVlXlcmvhD1Was+QnVTtqdeNH/9JLJfcrze1S1/paTfvo7032OaF3sp6+dphuOX8ggRtAh8ZMNwAAAFqN75Lyr9fbtXHNZt1fWqjzV3/l758/8FT9/pK7/K+T42N0yUm99PvRxxG2AUQEQjcAAABaRZXLrcetK/XO15Xqu36V/vH6Q+pnr5QkeWTQo2dfr2fPyJXX0HjxZXJ8lO6+4DhdNLQXgRtAxCB0AwAAIKSqXG59umq7Xvpsjb7d4NDl332k6e8/rcSGOklSTUKybrv8bn3a36wogxQbbZCxS5xuOW+gbjijX3iLB4AQI3QDAAAgZKpcbs0t26B55Ru0qmqn7vrvP3Xr57P9/V/3HKRbrpymLcYM9UqJ19HpSUqMj9YJvVJ00ZBeYawcAFoHoRsAAAAhUeVyq/gTm6wrtmht9S5J0hdHD9UtX5Qo2uvRKydfqAcseWqIjVNqYoxys45WZmq8MlMSNbRPKpeUA4hIhG4AAAAEzbdg2gffbda2HXX+9k/7naIZ59woe2JXlZw0WlLjL6ADenTVdacfQ9AGEPEI3QAAAAjKikqHnv+4Ql9WbNdZ3/1P7w04LaB/1mljAl4f072L7spmdXIAnQOhGwAAAIetyuXW8o1OzV78k/7741bF7typmf95XBeu/Ew9Rt2k4qyr5N1vnyhJFw7pqdtGDdLgXinhKBsA2hyhGwAAAIfFt1ja5xXb9L9V2zVg2zoVzXtIA6o3SJImf/SS3jvuLG1IzpBHUoxBMnaJ1d2jB2v8aUeHt3gAaGOEbgAAAByW5Rudsm3dqaXranTx9//TzPeeUNJutyTJEZ+kOy/9vaq791JGfIxSEmJ0zrEZGjv8KGa3AXRKhG4AAAC0WJXLrdfLN2jxyi26/T9FmrDkTX/fioz+mnTlPVqX1ksn9eiiX581QCMHdufebQCdGqEbAAAALbKi0qHHPvhR3y9bqSfnztBpG77z980dcr7uHX2L3LEJMkiaOfYUZrYBQB00dJeXl8tqtUqSFi9erFmzZsloNPr7JMlsNstms8lut8tsNkuSbDabSktLZTKZZLPZlJeX59/vYH0AAACdmb22XiUfrdY/Pl+rbraVer3kT8rcUS1Jqo+K0QOWPP37lIskg0GSdHzPrgRuAPhZhwzdVqtVU6ZMkSTNnDlTo0aNUllZmSSpqKhIxcXFkiSLxaKSkhL/frm5uf7tbDabJk6c6O8/WB8AAEBnVOVy68X/2bT4hzUqr/LKI4PcqRnaGZsgSdqU3F23XDlNy3of598nNSFKf7j0xHCVDADtTlS4Czhc5eXlmj59uv91Tk6OysvLZbPZJEnDhw9XTU2NampqNH/+/ICZ7H2ZTCb/bPnB+gAAADqjKpdbj3z4o/62yKba3R5/uys+SZOuukfzB56qy371uD9wRxukQT2SNGPMKTpjYPdwlQ0A7U6Hm+k2m82aNWuW/7Xdbpckpaen+9uauyzcarUGbOPbp7y8XEuWLDlgn+/SdAAAgM5k0apteu+bTTp620Z1U5ykHv6+lT36aeLYP/pfx8cYlJPVV3eMOpZF0wBgPx0udEuNs9s+s2fPlsVi8Qdtu92u0tJSSY33e+fn58tkMvnD+f6qq6sP2tecuro61dXV+V87nU5JksfjkcfjaXYfHB6PxyOv18v5jGCMceRjjDsHxjmybHW5tXyTS9bvK/XeN5U669tFeuTd/9OGnkfrqnEPqS46rsk+XeKideaAbrr9vIHqlhTLZ6GD4ns58jHGodfSc9khQ7ePL2D77sWWFLAAmslkUnZ2tioqKg56jMPtmz59uh544IEm7Vu3bpXb7W5R7Tg4j8cjh8Mhr9erqKgOdxcEWoAxjnyMcefAOEcOe229Fn5fpW832LVp2w7d+/G/lPvJXEnS4HU/6p6vX9dro8b7tzdI6tY1Xv27ddGlJ3WXp9ahqtowFY+g8b0c+Rjj0HO5XC3arkOH7oKCgoD7tqXG+7N9l4T7ViK32WwyGo1NZq6rq6tlNBoP2tecadOm6a677vK/djqd6tu3r3r06KGUFFbqDAWPxyODwaAePXrwQyFCMcaRjzHuHBjnyPH+Z2s1Z7lD7o2b9dibD+vMn77x9/33pJF6eMjl2lFj8LddOayPLjmpt4b2TlF3Linv8PhejnyMceglJCS0aLsOG7pnzpypgoKCgEvHbTabRo0apZqamoBt09PTZbFYVFRU1OQ4WVlZMplMB+xrTnx8vOLjm/6fS1RUFB/gEDIYDJzTCMcYRz7GuHNgnDuuKpdbn67arnnL1uvTVds1dOOPevaN6ert2iZJ2h0Vrenn/UZfWi7VDnuUPGoM3eOHH6XC3JPDWTpaAd/LkY8xDq2WnsegQrfT6dSSJUtkt9tVXV2t9PR0GY1GZWVlteqMb2lpqcxmsz9wz5kzR3l5eTKZTCosLPRvZ7ValZOT45/N3pfNZlNWVtYh+wAAACJRlcutRz74UR8s3yxH7W5dt+w9/clarDhPQ2N/Upp+e0WByvqeqOMNXklSSny0zj8+U5MvHBzO0gGgQzns0O10OjV9+nSVlpbKZrPJ6/U22cZgMPjvpy4sLFRycnJIipUaA3Fubm5Am9Fo9N/LnZWVpZkzZ8poNKqioiLgWdslJSUqKCjQiBEjtHjx4hb3AQAARJIVlQ799a0V+nxNteT16JH/PKGc5Qv8/V8ddYJ+e8VUbe2arih5ZZA0pE+yfj1yoEYO7M4K5QBwGAze5lLzAUyaNEmzZs3SqFGjlJub6780OzU11b/NmjVrZLfbZbVaNX/+fC1YsED5+fl69tlnW+UNtAdOp1OpqalyOBzc0x0iHo9HVVVVysjI4PKXCMUYRz7GuHNgnDuWKpdbsxev1wv/s8le2+Bv/8OCWbppyZuSpL9lXaEZ5/5aDdGNczPGeIPGnpiq/AvMykhNDEvdaH18L0c+xjj0WpoDWzzTPXr0aBmNRq1evVr9+/c/4Ha+vmHDhunuu++W3W7X1KlTdcEFF6ikpIRQCgAAEAZVLree/Wi1Zn+1TrUNgXMu08/9tQZs36DSoaP0zvG/8LcPyuiiW84ZpBPSvSyWBgBHqEWhe8GCBSooKNCoUaMO+x8wGo16/vnntWDBAlmtVo0ZM+awjwEAAIAjV+Vy64n5KzVv6UbV1TfoxK1r9V3mAH9/Q3SMbsy9XzLsXZ28e5cYPXXNcB2b2VVVVVVhqBoAIkOLQveRhO3WOAYAAAAOj2+Ge275BiW4HHru7Ud02vrlGnP9I1qRadq74T6BOzkhSn+58iQN7pUij8cThqoBIHJwMT8AAEAEe3rBKv3ri580cMMqvfPSHTpnTbkSGur11FuFitnT0GT7E3t1VfH1I3TRSb3CUC0ARJ6gn9O9cOFClZeXN9s3efLkYA8PAACAI7Ci0qF75n6tZRtcyv3mQ/31w+cUv2e3JGlbl1TdN/oW/2JpPqMG99CMsSezOjkAhFBQoXvSpEkqLi6W0WhUenp6QJ/BYCB0AwAAtKEql1vvfbNZc8p+0opNOxTXUK+HrEW69usP/Nss7XWcbr5ymjandPe3GSRdcEKm/nLVUAI3AIRYUKF7zpw5Kiws1N133x2qegAAAHAEqlxuPfLBj/rPt5XaUbdHfRxVeu6Nh3TS5tX+bf4x7BL99fwJqo+J9bd16xKrm0b2V+6IowncANAKgr68PDc3NxR1AAAA4AhVudx6fP5Kvbl0g+r2SGf89LWeebNQ6bVOSVJtTLzuueC3mjfkfP8+MQbpjIHddO/FJ2hwLx7pCgCtJaiF1CZOnKjS0tJQ1QIAAIDDVOVy6w9vfKtXvlqvuj2NbfXRsUqu2ylJ+snYU2N++XBA4E5OiNZdo4/TY+OGEbgBoJUFNdNdWFiogQMHavr06bJYLE3u637uueeCKg4AAAAH9/TCVfrgu8DnaJcddYIePO8mjVy7VHdd+ns5E7r6+wb16KKnrh1O2AaANhJU6B4/frxsNptMJpNqampUU1Pj7zPs86xHAAAAhN4732zUPz5fp37VG/VTWi95DXsvYnxp+GV6efilAW3nDuquh8edwr3bANCGggrd8+fPV2lpqcaMGROqegAAAHAIKyodeuT9H/TRj9t05Xcfafr7T+v508bqiZHX7t3IYJBXjZMgcVHSdacdrT9dMTRMFQNA5xX0QmpmszkUdQAAAKAFHv3wez270KaoPbt1/8K/6Vfl70qSbv/0VX159BB9cfRJAdsfZUzUlcN661dn9g9HuQDQ6QW1kFphYaGKiopCVQsAAAAOYurcZXpqoU09nNs0+5Wp/sAtSbNPytbS3oMDtk/vEqO8X5j0qzP7c0k5AIRJUDPdZWVlKi4u1syZM2U2m5sspPbBBx8EVRwAAAAaVyj/y9vL9fY3W3TGT9/oybdmqscuuySpLjpWf8yepNknXxCwz9HGBBX/agQLpgFAmAV9eXleXl4o6gAAAMB+qlxuzVm8Xi9+ukbbd9Qr76vXVfDJy4r2eiRJG1IyNOmqe7S858CA/a4e3ke/v/B4ZrcBoB0IKnQ///zzoaoDAAAA+/A9f/uD76qUVLdLz/7ncV288jN//yf9zbr9ssmyJ+6dye4aH6WHx56ii07qFY6SAQDNCHqmGwAAAKHjm91+euFKuRsa2zyGKPWv2eTf5okzr9YTZ10jT1S0v617lxg9de1wnTGwe1uXDAA4iKAWUtvXggULNH78+FAdDgAAoNPxzW4/8uHewC1JtXEJuvnKadqQkqHfjP2j/u/s6wMCd5/UBP1r4hkEbgBoh0I2022321VRURGqwwEAAHQqVS63fv33L/Vd5Q7F7GmQ0e3StqQ0f//a9D46N69YDdGBv76NHNhN911yAgumAUA7FbLQPXbsWI0dOzZUhwMAAOg0VlQ6dOPfv1SVa7d67KjR02/OUHL9Lo25/mG5YxP82+0buI2JUXruuhHMbgNAOxeyy8sBAABw+Bat3qqriz5TlWu3hm9YoXdevl2nbfhOJ1St0f3W4mb36Z4UR+AGgA6ixTPdh3u/tsFg0GuvvXbYBQEAAHQWU+cu02uLN0per24se1v3fvSCYj17JEmVXbtp9kmjm+xjPipVD409icvJAaCDaHHorqmpafFBlyxZIofDQegGAABoxopKh+54tVwrq3Ypsd6tGe8/pSu+/8Tf/9nRJ+nWy6doe5IxYL/Cq4Zq/GlHt3G1AIBgtDh0f/jhh4fcZsGCBSosLJTdbtfw4cODKgwAACASFX2ySv83f5XcDV71r96o5+Y9pMHbfvL3P3dajh75xS+1Z5/VyZPjozST528DQIcUknu6X3/9dY0YMUKjRzdeAjV//nwtXrw4FIcGAACIGEWfrNL091bK3eDV6JWf682X7/QHbldcovKvvEeF594YELhP62dUyaSzCNwA0EEFtXr53/72NxUWFqqiokI5OTkqLi7WsGHDQlUbAABAxLj9tTK9uWyz//WQzauVUr9LkrSy29GadNU9snU7KmCf607tqwfHnNSmdQIAQuuIQvcjjzyi6dOnq6amRnl5efrwww/Vv3//UNcGAADQ4VW53BrzzCJtsNcFtD8+8lqdUrlSjoSuKrjoNu2KSwzov+P8gbpj9HFtWSoAoBW0OHQ7nU5Nnz5dhYWFkqQpU6Zo2rRpSk1NbbXiAAAAOrJXvlyrP8z7TnskGWudsifuXXHcExWtvDH3yh0TLxkM/vYeXWL1z4mnszo5AESIFofutLQ0GY1GzZw5U5MnT27NmgAAADq8Rz/8Xk8ttEler65b9p6mffyifjnuL1raZ7B/G3dsQsA+owZ31ws3ntbWpQIAWlGLF1Lzer2qqalRQUGBoqOjW/QFAADQGeX/8ys9tdCm+N11euQ/j+vBD59V1/paPfvGdKXvcjS7zx3nDyRwA0AEavFMd0lJSWvWAQAA0OGtqHToyicXqd4r9bVv1vPzHtKJVTZ//7uDR8oZnxSwT0KM9OKNp+mMgd3bulwAQBtocegeO3Zsa9YBAADQYVW53Hp64Sr94/N1kqRzKxbribcfUWrdTknSrth4FVx4m94+4ZyA/Xolx+mx8cMI3AAQwYJ6ZBgAAEBnV+Vya+LLX+nrDS5Fefbo9k9f0+2fvervr0jvo0lX3qNVPY4J2I/VyQGgcwg6dC9cuFDl5eXN9rHgGgAAiGQrKh0a+8wi1TZIqbUuPfH2Izp3TZm///1jz9Dki+/Ujvgu/rZ4g/TSTVxODgCdRVChe9KkSSouLpbRaFR6enpAn8FgIHQDAICI9c43G/W7V5b5Xx/lrNIZ676RJO0xRGnmOTeo6NSxAY8D6xInvX7z2TwODAA6kaBC95w5c1RYWKi77747VPUAAAC0a1Uut+59/WvN/35bQPt3mQN03+ibVfDJy7r18in6/JiTA/q7J8XoXxPOIHADQCcT9OXlubm5oagDAACg3atyuTX60Y9ld+9RfEO9GqKitSdq72NSS04arQ8HnSFHYnLAfhcPydSz12e1dbkAgHagxc/pbs7EiRNVWloaqloAAADarUc//F6nPrhAdvce9XFUac6/CzTlk5ebbLdv4I6WVHjVUAI3AHRiQc10FxYWauDAgZo+fbosFkuT+7qfe+65oIoDAABoD6bOXabXFm+UJI1cs1RPvv2w0mudOnnzKi3tfZzeP+6sJvsM7dVVD48bxuXkANDJBRW6x48fL5vNJpPJpJqaGtXU1Pj7DPssGgIAANBR3f5amd5ctlkGr0c3f1Gqyf/9p6LklST9ZOypdcZeTfY5tZ9RcyY1DeIAgM4nqNA9f/58lZaWasyYMaGqBwAAoF1YUenQ+Oc+laveqxT3Dj367mPKXv2Vv3/BgBG689Lfy5nQNWC/McN667Hxw9q6XABAOxX0QmpmszkUdQAAALQbj374vZ5aaJMkDa5ao+fnPaR+9kpJkkcGPXb2dXrmjHHyGvYuj9M7JU5v3voL9UiOD0vNAID2KaiF1AoLC1VUVBSqWgAAAMLuxr9/4Q/cV373keb9c7I/cNckJOvG3Pv19JlXBwTuE3t2JXADAJoV1Ex3WVmZiouLNXPmTJnN5iYLqX3wwQdBFQcAANBWVlQ6NOaZRXI3NL6O8uzRjWVvK7GhTpL0beYA3XzVPdqQmhmw34ijU/XsL0cQuAEAzQr68vK8vLxQ1AEAABA2r3y5VvfM+y6gzRMVrVuunKp3XrpDHw46XX/KnqS6mLiAba47ta8eHHNSW5YKAOhgggrdzz//fKjqAAAAaHNVLrcmz16m/67eLkmK3bNbu6Nj/f2bUjJ04a+fUlVytyb7PnetWRed1HTlcgAA9hXUPd0AAAAdVZXLrYse/6QxcHu9mvjl63rnpdvVtW5X4Hb7Be6jjAlafK+FwA0AaJEWhe5ly5Zp7dq1Qf1Da9eu1cKFC4M6BgAAQCi8881GnfrgAm3f2aCkul169o3puvfjv+u4bes08z+PS15vs/ud3CdF8347kvu3AQAt1qLQnZqaqpycHL3wwgtH9I/MmjVL2dnZMplMR7Q/AABAqOT/8yv97pVlkqQB29brzX/cpYtXfubvX92trwxqGrrvu2iw3rz1bAI3AOCwtOie7v79+8tqtcpisWjGjBnKycnR1VdfrZNPPvmA+yxbtkyzZ89WcXGxTCaTlixZotTU1JAVDgAAcDiqXG5d+sR/VbVjtyTpku//p5nvPaGk3W5JkjM+SXdeepcWDDwtYL9uXWL0/p3nErYBAEekxQupGY1GLVmyRFarVVOnTlVhYaEMBoOMRqPS09NlNBolSXa7XTabTV6vV2azWcXFxRo7dmxr1Q8AAHBI73yz0T+7HbOnQQWfvKSJi9/w93/fo58mXXWPfkrrHbDfsL4pmvfbs9uwUgBApDns1cstFouWLFkih8OhxYsXa+nSpdq+fbvsdruMRqO6desms9msrKwsZrYBAEDYFX2yStPfWylJ6rGjRk+/VajT1i/3979+4nm654Lfyh2bELDfxJH9dO+lJ7ZprQCAyHPEjwxLTU2VxWKRxWIJZT0AAAAhk/3oQq3aWut/fckP//MH7vqoGP151ET9a9jFksEQsN/7t5+twb1S2rRWAEBkCuo53QAAAO1RlcutMx9coIb92l8afpnOWPeNTqpcpVuunKalfQYH9A/O7KL37zyv7QoFAEQ8QjcAAIgor3y5VvfM+06SZPB65DXs87AWg0GTL7lT8Q312paUFrDfdaf21YNjTmrLUgEAnUCLHhkGAADQEdz49y/8gbt/9Ua9+9LtOuOnrwO2ccUnNQncr044jcANAGgVhG4AABARzA+8r49XbpckjV75ud58+U6dULVGT701Uz2d25rdp2uctHbGJTpjYPe2LBUA0IlweTkAAOjw+k99V15J0Z49+v3//qlbvij199Ukpiihoa7JPqf2M2rOpLPasEoAQGcUkplup9OphQsX+l+vXbs2FIcFAAA4qFe+XKt+Pwfu9F0OvTznjwGB++3BZ+uKGx7T2vQ+AftNHNmPwA0AaBNBzXQ7HA5NnDhRVqtVTqdTDQ2Na4Tm5eVp/Pjxuummm0JSJAAAwP4uevxjfb95pyTp5E0/6tk3ZqiPa6skqcEQpYfOu0l/z7o84HFg0ZK+uNeiHsnx4SgZANAJBTXTPXHiRBkMBlVXV8vj8fjbp0yZohkzZgRdHAAAQHMGTH23MXB7vbp22Xua80qBP3BXJaXpmmse0t9HXBEQuI0JUaqYcQmBGwDQpoKa6bZarf7Lyg37/J/aiBEjZLPZgqsMAABgP49++L2eWrj3d4zMHdt178IXFL+n8Wq7r446Qb+9Yqq2dk0P2G9Y3xTN++3ZbVorAABSkDPd6enp/rDt9Xr97UuWLNGwYcOCqwwAAGAflz/134DALUlbkrur4KLbJEkvZF2ha69+qEngvu+iwQRuAEDYBDXTnZeXp5ycHBUVFfnD99KlSzVu3DgVFhaGpEAAAIBT7n9PdvfPt7J5vQGXjb9z/C+0Jr2Pvssc0GS/xdy/DQAIs6BC95QpU7R9+3ZZLBZJUrdu3WS323X33XdrwoQJISkQAAB0bv2mvitJMng9uv3TV5W+y6k/jr45YJv9A3e/9AR9PGVUm9UIAMCBBP2c7sLCQk2bNk0LFiyQJFksFqWmpgZdGAAA6Nzy//mVPviucXG01FqXHn/nEZ1nK5Mkfd3rWM0d2nyo5v5tAEB7EnToliSj0aixY8eG4lAAAKCTq3K5dU7hAtU2ro2mE7dU6Pl5D6mvY4skaY8hSka3q9l97zh/oO4YfVxblQoAwCEFFbpvvvnmA/YNGDBAkydPDubwAACgk3nnm4363SvL/K9zv5mvv8x/TgkN9ZKkbV1SdevlU/T5MSc32Zf7twEA7VFQoXvx4sVN2ux2u9asWaO8vLxgDg0AADqZP7/9rf7+6TpJUlzDbt1vLdK1X7/v71/a6zjdcuVUVab0CNgvPTFaH9x1HoEbANAuBRW6lyxZ0mz71KlTNXDgwGAODQAAOokql1tXPLVIlc46SVJvZ5WefWO6Tqlc5d/mn8Mu1l/On6j6mNiAfc87trtm5p5C4AYAtFshuad7f1OnTtWIESNYwRwAABzUK1+u1T3zvgto+8OCv/kDtzsmTveO/m2zi6YVXjVU4087uk3qBADgSLVK6DYYDLLZbK1xaAAAECGKPlml6e+tbNL+x+ybZd70g+qiYzXpqnu1ItPUZBvu3wYAdBRBhe4LLrig2fYlS5bIZGr6f5AAAACSdPlT/9U3G5tfgXxr1zTdmHu/NqZkyJnQNaBvSO+ueue2c9qiRAAAQiKo0N2/f/9m2y0Wi3JycoI5NAAAiFD9pr7r/+/jtq7VvQtf0K2XT5EjMdnf/n1G0z/e33fRYE04Z0Cb1AgAQKgEFbqff/75UNUBAAAi3P6PA7viu4804/2nldhQp8ffeUS/yfmTvIaoZvd97lqzLjqpVxtVCgBA6LTKPd0AAAD7uv21Mr25bLMkKXbPbt278AXdWP6Ov7/7TrtS3TtkT0xpsi/3bwMAOrKgQvfNN998WNs/99xzwfxzAACgAxryx3e1o77xvzNd2/TsGzM0fNMP/v7ZQ7P1x9E3qy4mLmC/kQPT9a8JZ7RlqQAAhFxQoXvx4sUqLy+X0WhUVlaWJKm6ulrl5eUym80B2xoMhmD+KQAA0MFUudw69cEF/tenr/tGT705Uz122SVJddEx+mP2zZp9ctOFWe84f6DuGH1cW5UKAECrCSp0jx8/XhaLRTNmzAhonzp1qgYOHMhzugEA6KQCHgfm9WrC4nma+vFLivF6JEkbUnroliun6ZtexzbZl/u3AQCRJKjQXVxcrPnz5zdpnzZtmiwWC6EbAIBOaP/HgZ1rW6L7Pvq7//V/+w3T7ZdNVk2X1ID9kuKkj+/m/m0AQGRpfonQFtq+fbvmzp3bpN1qtcpmswVzaAAA0AH1m/puk+dvf2zK0rwTzpUkPXXGeN2Ye3+TwH1qP6O++/MlBG4AQMQJaqZ74sSJmjJlioxGo3Jzc5WSkqLXX39dEydOVHZ2dqhqBAAA7dxWl1unTf+o+U6DQfdc8DvNHTJKi/oPa9I9anB3vXDjaa1cIQAA4RFU6C4sLJTdbtfEiROVl5cnSfJ6vcrJydHs2bNDUiAAAGjfXv7MpqKvqiUZFO3Zo4KPX9IXRw/VwoGn+repjUtoNnBz/zYAINIF/ZzuoqIizZw5U0uWLJEkmUwm9e/fP+jC2prNZlNpaalMJpNsNpvy8vJkNBrDXRYAAO3aCff+RwOMXkkG9dhRo6feKtTp65dr/Dcf6rJfPa51ac0H6pR4g7554OK2LRYAgDAIevXywsJC9evXT6NGjQpVTWGRm5ursrIySY0BfOLEiSopKQlzVQAAtE8rKh26+IlF/sVhhm9YoaffLFTmjmpJUpfdbp20eVWzofviIZl69vqsNqwWAIDwCWohtYqKimYXUuto9l/0zWQyyWq1hqkaAADat1e+XKuLn1jU+MLr1WWfvqNXXr3HH7g3d03X+Gtm6J3jf9Fk3+euNRO4AQCdSlAz3bNmzZLFYpHZbNZ5550XqpranNVqVXp6ekBbenq6ysvLZTabw1QVAADtzzXFn+lzW40kKbHerRkfPKUrVnzi7//86KG69fIp2paU1mTfVyecpjMGdm+zWgEAaA+CCt1FRUVKS0uTxWKRyWSSyWQK6P/ggw+CKq6t2O32Zturq6ubba+rq1NdXZ3/tdPplCR5PB55PJ6Q19cZeTweeb1ezmcEY4wjH2MceQbe8x9JjZfJ9avepOfmPaTjtv3k7y86dYweOecG7YmKVpS8/vbkuCjN//156p4cz+ehA+J7uXNgnCMfYxx6LT2XQYVuo9Eoi8USzCHatQOF8enTp+uBBx5o0r5161a53e5Wrqpz8Hg8cjgc8nq9iooK6i4ItFOMceRjjCPHuuqdeuDtFTr+58nr6D0NmlX0B2XaqyRJ7vgE/V/OHVo09EwdK0n7BO7LT+qlK4YdJU+tQ1W1bV46QoDv5c6BcY58jHHouVyuFm0XVOieMWNGMLu3G0ajscmsdnV19QFXL582bZruuusu/2un06m+ffuqR48eSklJac1SOw2PxyODwaAePXrwQyFCMcaRjzGODK999ZPue+N7SYZ9WmN176h8/W3uX7S6W1898qupssb2lafGELDv09eYdeHQnm1aL0KP7+XOgXGOfIxx6CUkJLRou6AfGebjdDpVXV2tfv36heqQbcZisaioqKhJe1ZW8wu9xMfHKz4+vkl7VFQUH+AQMhgMnNMIxxhHPsa4Yxv77CKVrXMoMHA3sg48TbdcMVX/NZl1TEaCPDUGefbZjvu3Iwvfy50D4xz5GOPQaul5DPpsL1y4UAMHDlRaWpoGDBigbt26ad68ecEetk3tfy+6zWZTVlYWz+kGAHRKVS63+k199+fALZ286UdN++jvktcbsN1/Bo/UrrjEgLajUuO0+F4LgRsAgJ8FNdO9dOlSWSwWFRYW+u/tfu2115STkyOr1dqhVjQvKSlRQUGBRowYocWLF/OMbgBAp7Ro9VZd/7evGl94vbr26/f1J2uR4vc0aENqhv5pvvSA+9530WBNOGdAG1UKAEDHEFTonjp1qoqKijRx4kR/27Bhw9StWzdNmTJFixcvDrrAtmIymVRYWChJysnJCXM1AAC0rSqXW08vWKV/fLFOkhS/u05//fA55S63+re5+MdP9a9hF8traHqh3BfTRikjNbFJOwAAnV1Ql5fPnz9f2dnZTdpzc3NVXl4ezKEBAEAbWVHp0FkPLfAH7r72zXr9X3cHBO4Xh1+mG8b9uUngTkuM1gu/GqHuyU3XOgEAAEHOdJvNZq1Zs6bJ4mnl5eXq379/MIcGAABtIOBycknnVizW4+88KqN7hyRpV2y8pl54m9464Zwm+95x/kDdZhmkqqqqNqsXAICOJqiZ7ry8POXl5enrr7/2ty1cuFB5eXmaOnVq0MUBAIDWU/TJKn/gNng9umPRv/X30j/7A7ctrbeu/OWjzQbu5641647Rx7VpvQAAdEQtnuleuHChsrKyAp5DnZeXp4qKCg0bNkwGw97HhNx9992aMGFCaCsFAAAhUeVy697Xv9H877f623732Wzd8emr/tcfDDpdky+5U674pCb7L77Xoh5cTg4AQIu0OHTn5uZqwYIFOuWUUwLaCwsLNWnSJJWXl6u6uloWi4VLywEAaKeqXG6NnL5A9Z7A9n+YL9W4b63q7dyqh39xg54/baxkCHw+d/cuMXrvznMJ3AAAHIYWh27vfs/m3Ff//v0J2gAAtHNVLrdOfXBBs32OxGRNunKaUt079Fm/U5r0nzeom2aOG0bgBgDgMAW1kBoAAOgYij5ZpenvrZQkxTXs1l2L/qUXsq7U1q5p/m2+6zmw2X1fnXCazhjYvU3qBAAg0hxW6Dbsd5kZAABo//L/+ZU++K7x/u3ezio9+8Z0nVK5SsM2/ajrxv9VDdHN/zoQJelL7t8GACAohxW6J0yYoPT09BZtazAY9P777x9RUQAAIDSOv+9d1TY0/vdZa5fpybdmqlutU5J0cuVKnbilQl/3broK+an9jJoz6ay2LBUAgIh0WKG7pqbmoPd2AwCA9mHf+7cNXo9u/qJUv//fvxTtbVxBbV1qpiZdda9WZJqa7PvctWZddFKvNq0XAIBIdVihu7S0tMnq5QAAoH159MPv9dRCmyQpuW6nHn33/zR61Rf+/oWmLN1x2WQ5E7oG7BdnkN667WwN7pUiAAAQGiykBgBAhKhyuXXD377QD1t2SpKO27pWz897UP1rKiVJHhn0+Mhr9dSZ4+U1RAXsO6R3V71z2zltXjMAAJGO0A0AQASocrk18qEFqv/5LrCjHFs075+/V5fddZIke0JX3XHpZH08IKvJvvddNFgTzhnQluUCANBpELoBAOjgVlQ6dPETiwLaNqRmat6J5+m6Ze9reeYATbpymjYYezbZdzGrkwMA0KpaHLpnzZolk6npYisAACB8bvz7F/p45fZm+x4Yla9NyT30txFXqi42MFh36xKrf088ncANAEAra3HoHjt2bGvWAQAADlPWXz7Qtp2NzwM7bd23SnXv0IfHnuHvr4+J1TNnjm+y3wXHZ+ivY04icAMA0Aa4vBwAgA4m4HJyr1cTFs/T1I9fUl1MnK644TGt7n70Afd9/3ZWJwcAoC1FHXoTAADQXhR9ssofuJPqdumZN2fovo/+rhivR0m73fp12VvN7tc7JU5rZ1xC4AYAoI0x0w0AQAdx+2tlenPZZknSgG3rVTTvQQ2s3uDvf+qM8fq/kdc22W9Y3xTN++3ZbVYnAADYi9ANAEAHkP3oQq3aWitJuuiHRXr4vSfUtb7xtTOui+669PeyDjqtyX7PXWvWRSf1atNaAQDAXoRuAADasUWrt+r6v30lSYr27FHBxy8pb/E8f/8P3Y/RpKvu0dr0PgH7dYmVVvzlkjatFQAANEXoBgCgnXrly7W6Z953/tdPvPWwLv1x7/O43zjhHE274FbVxiUE7NfXGK//TbW0WZ0AAODAWhy6b7755sM68IABAzR58uTDLggAAATev+3z72EX6aKVn8ljMOgv50/QP8yXSgZDwDZjhvXWY+OHtWWpAADgIFocuisqKpq0VVdXq7y8XGazOaC9vLxcubm5wVcHAEAntO/zt/f1+TEn64/Zk/R9j/4qP+r4Jv2vTjhNZwzs3hYlAgCAFmpx6P7www+btD388MPKz8/XxIkTA9qnTp2qgQMHBl8dAACdSJXLrVMfXCBJSqx3a/w3H+ql4ZcFzGb/e9jFTfYb0rur3rntnDarEwAAtFxQ93QXFxdr/vz5Tdrz8/M1evRoTZgwIZjDAwDQaUydu0yvLd4oSepXvVHPz3tIg7f9pISGej1/es4B97vvosGacM6AtioTAAAcpqhgdt6+fbuWLl3apN1ms6m6ujqYQwMA0GmcOX2+P3Bnr/pCb718pwZv+0mSdMsXJUqtdTW736sTTiNwAwDQzgU1052bm+ufzR41apRSUlL0+uuva+LEibJYWDUVAICDWVHp0FVPLVKdR4ry7NFdi/6t330+x9+/Ov0o5V91rxyJyQH79U6J02f3ZLd1uQAA4AgEFbqLiopUXV2tsWPHyvDz/WZer1c5OTmaPXt2SAoEACAS7fv87bRdDj351sM6+6dl/v53jztLUy66XTvjuwTsN2pwd71w42ltWSoAAAhC0M/pLikpkcPh0JIlSyRJWVlZSk1NDbowAAAi1aMffq+nFtokSSdv+lHPvjFDfVxbJUkNhihNP/fXemHElU0eB1Z41VCNP+3oti4XAAAEIejQLUkGg0EGg0Hnn3++JGnt2rXq169fKA4NAEDEWFHp0I0vfKmqHbslSSPXLNULcx9Q/J7Gx4Nt7WLU764o0JdHD22y73PXmnXRSb3atF4AABC8oBZSczgcGjdunPr166fRo0f72/Py8vTCCy8EXRwAAJGi6JNVuviJRf7ALUlLex+n9ak9JUlL+hyvS298vEngPsoYr8X3WgjcAAB0UEHNdE+cOFEGg0HV1dWKitqb36dMmaKbb75ZN910U9AFAgDQ0e37OLB97Yzvovyr7tX4bz7Uw+fcoN3RsQH9f77iRF00pJd6JMe3VakAACDEggrdVqtVCxculCT/QmqSNGLECNlstuAqAwAgAlxT/Jk+t9VIks6xlWlV977alJLh76/o3lcPnd/0j9Tv3362BvdKabM6AQBA6wgqdKenpwesWu6zZMkSDRs2LLjKAADo4E65/z3Z3R4ZvB7d9ulruv3TV/VNr4Ead+1M1cfENrtP1ziDZt1wKoEbAIAIEdQ93Xl5ecrJydHChQv94Xvp0qUaN26cJk2aFJICAQDoaF75cq36TX1XdrdHqbUuvVD6Z9356SuKklenVK7SuG/nN7vfmf3T9dHdo3TGwO5tXDEAAGgtQc10T5kyRdu3b5fFYpEkdevWTXa7XXfffbcmTJgQkgIBAOgoqlxu3fZKub5Y03g5+YlbKvTcvId0tGOLJGmPIUqPnn29/n3KhU32veP8gbpj9HFtWi8AAGh9QT8yrLCwUPfcc4+sVqskyWKx8JxuAECnU+Vy68qnF2mTo06SlPOtVX/98FklNNRLkrYnpui2y6fo036nBOwXLelpHgcGAEDECip0T5s2TdOnT1dqaqrGjh3rb581a5YMBgOz3QCATmFFpUOXPbFIeyTFNezWnxYU6bpl7/v7l/UapFuunBawgJokjRrcXS/ceFobVwsAANpSUPd0z5w5s9n2rKwsFRUVBXNoAAA6hEWrt+rifQL3nFcKAgL3v0+5UOOundkkcN930WACNwAAnUBQM91er1cul0vJycn+NqfTKavVqvLy8qCLAwCgPXvly7W6Z953/tf1MbH6su8QnVK5Uu6YON03+haVDrUE7NM1Tpp1w2kslgYAQCdx2KF77ty5ys3NlcFgkMFgkNFobLKN1+tVTk5OKOoDAKBdevTD7/XUQluT9pnn/Erddjn0Ytbl+i5zQEDfmf3T9cS1ZvVIjm+rMgEAQJgddugeO3asKioq5PV6NXDgQM2fP1/p6ekB25hMJhZTAwBELPMD76u6do+S63bqpMpVAYuj7YmK1uRL7myyz30XDdaEcwY0aQcAAJHtiC4v79+/vyQpJydHo0aNCmlBAAC0V4tWb9UNf/tKHknHbV2r5+c9qN7ObRpz/cP6rufAZvdJjJH+W2BhdhsAgE4qqIXU5syZ02z7smXLgjksAADtztS5y3T9z4H78hUfa94/f6/+NZWK37Nbhe8/JXm9Tfbpa4zX93+9hMANAEAnFlTonjZtmsaPH9+k/aGHHtKjjz4azKEBAGgXVlQ6dPx97+q1xRsVu2e3/mQt0pNvP6Iuuxufx708c4AmXTlNMhgC9hvSu6v+N9XS3CEBAEAnElToLi4uVn5+fpP2vLw8Pf/888EcGgCAsKpyuXXrK2W6+IlFqm2QMlzb9eqr9+jXZW/7tykZYtHY62Zqg7FnwL5jhvXWO7ed09YlAwCAdiioR4bV1NTIZDI1aR8wYIBstqYrugIA0BFUudy67Mn/aYurXpJ06vrleubNGeqx0y5JqouO0f2WSXr15AsCZri7xEiv//ZsDe6VEo6yAQBAOxTUTLfZbNaCBQuatJeXl2vYsGHBHBoAgLC5tugzf+Ae//UHeuXVe/yBe2NyD+VeN1OvnnJhQOA+Ji1RnxRYCNwAACBAUKF76tSpysvL07x58/xtr7/+uvLy8jRp0qSgiwMAoK3l//Mrrd5W63+9qvvR8hga/+/yf8ecoktvfFzf9Do2YJ8Ljs9Q6S1nsWAaAABoIqjLy3NycjR9+nSNHTtWhn3+2j9jxgxNmDAh6OIAAGgri1Zv1S3/XCxnXeAq5OV9jtefLXnq5dyqR8++Xp6oaH9fj6QY/fmKk3TRSb3aulwAANBBBBW6JWnKlCnKz8/X4sWLZTAYlJWVpdTU1FDUBgBAq6tyufX7OUv1v1XVkqTT132jr446MSBc/2vYxU32GzOstx4bz61UAADg4IIO3ZKUmpoqi4XHogAAOpZ3vtmoP72xXNt3NSjas0dTPnlZ+V+9rifOvFr/d/b1B9zvulP76sExJ7VhpQAAoKM6rNA9aNAg5efna/LkyZKkCy644KDbf/DBB0deGQAAreidbzbqzleXabdX6r6zRk+9NVNnrPtWknT7Z69p/qDTtbznwIB9Bmcm6fGrzSyWBgAAWuywQnf//v1lNBoDXgMA0JFUudz6+6I1ev6Txkdbmjd+r2ffmK6eOxovL98dFa2/nD9ByzMHBOzH7DYAADgShxW6P/zww4DXzz//fEiLAQCgNa2odOi6os9V494jeb26ofwd3bfwBcV5GiRJm7um65Yrpqn8qOMD9hszrDeBGwAAHJGQ3NMNAEB7t6LSodznPtXOeq8S69166IOnddWKj/39X/QdolsvL9DWrmkB+91x/kDdMfq4Nq4WAABEihaH7ptvvvmwDjxgwAD/vd8AAITTK1+u1QNvr1Bdg1c9ndv0Yun9On7rWn9/8YirVHjujdqzz4rlKQkGzckfyf3bAAAgKC0O3RUVFU3aqqurVV5eLrPZHNBeXl6u3Nzc4KsDACBIf377W/3903X+1zWJyfIYoiRJO2MTdPfFd+g/g0cG7HNMt0QVXZ9F4AYAAEFrceje/35uSXr44YeVn5+viRMnBrRPnTpVAwcObLI9AABtZUWlQ396c7kWr7UHtNfFxmvSVffo8bcf0ZSLbldF977+vihJ5x+focmjjyNwAwCAkAjqnu7i4mLNnz+/SXt+fr5Gjx6tCRMmBHN4AACOyKLVW3Xbv8tVXdugtF0OJdXXaoOxp79/vbGnxl7/sGQw+NtSE6J01+jjdfHQXuqRHB+OsgEAQAQKKnRv375dS5cuVb9+/QLabTabqqurgzk0AABH5J1vNur2V5Zpj6STKlfq2TemyxWfpDHXP6LauIS9G+4TuM/sn64nrjUTtgEAQMhFBbNzbm6uJkyYoHnz5snpdEqSXn/9dY0bN04WiyUkBQIA0FKvfLlWd7yyTHu8Xl297H2V/HuKjnJu1fFb12rqJy82u891p/bVK/lnELgBAECrCGqmu6ioSNXV1Ro7dqwMP88YeL1e5eTkaPbs2SEpEACAlij6ZJUK31up2N11enD+8xr/7d7bn8p6D9azpwcu8GmQdO9FgzXhnAFtXCkAAOhMgn5Od0lJiRwOh5YsWSJJysrKUmpqatCFAQDQEu98s1H3vf6N7G6PjrJv1vNvTNeQLXufuPHi8Mv00Hm/0e7oWH9bcnyU/nzlSbpqWJ9wlAwAADqRoEO3JBkMBhkMBp1//vmSpLVr1za5zxsAgFAr+mSVpr+3UpJ0bsUSPf7OIzK6d0iSamPiNfXC3+nNE88L2KdHUpzGn9pXIwd2b/N6AQBA5xNU6HY4HJo4caKsVqucTqcaGhokSXl5eRo/frxuuummkBQJAMD+Hv3wez210CZJ+t1nr+mu//1bUfJKktak9dLNV96jHzL6B+wz/Gijrj+jn0YO7M493AAAoE0EFbonTpwog8Gg6upqRUXtXZNtypQpuvnmmwndAICQa+7529Eejz9wzx94mn5/yZ1yJnT19yfGGHT/ZUM0/rSj27pcAADQyQUVuq1WqxYuXChJ/oXUJGnEiBGy2WzBVQYAwH5e+XKtHnz3e+2s9wS0P3nW1RqyZbWW9h6s507PkdfQ+IfgGElXDOujib8waXCvlDBUDAAAOrugQnd6enrAquU+S5Ys0bBhw4KrDACAfbzzzUbdM+87SZJp+wbZuh3l7/MaopQ35j5/2JakhGjpxV+fpjO4dxsAAIRRUM/pzsvLU05OjhYuXOgP30uXLtW4ceM0adKkkBQIAOjcVlQ6dOfspbr1lWWKa9itv37wjD74+281fMOKgO32Ddxd46MI3AAAoF0IaqZ7ypQp2r59uywWiySpW7dustvtuvvuuzVhwoSQFAgA6Lze+Waj/vTGd9q+a7d6ObfquTem65TKxtXKn31zhkZNeF474rsE7HN6/zTdf/kQLicHAADtQtCPDCssLNQ999wjq9UqSbJYLDynGwAQlCqXW08vXKV/fr5OXklnrl2mp96aqW61TklSXXSsHjn7lwGBOynOoIKLTtBFQ3qxMjkAAGg3ggrd48ePV2Fhofr166exY8eGqiYAQCdW5XJrcsky/Xfldsnr1c1flmryf/+paG/j4mnrUzM16cpp+q7nQP8+KfHRKvplFpeTAwCAdieoe7orKio0d+7cUNUCAOjkqlxu3fnaUv135XYl1+1U0bwHVfDJy/7A/XH/4br0V48HBO4ucVGafOFgAjcAAGiXgprpnjVrliwWi8xms84777xQ1QQA6IQWrd6q6e+u0HeVOzRo608qmvegTDWbJEkeGfTkWVfribOuCVgw7Zj0RF12cm9dNKRXuMoGAAA4qKBCd1FRkdLS0mSxWGQymWQymQL6P/jgg6CKAwBEviqXW39fZNPLn61V7e7Gx0/Gevaot2ubJMkRn6TbL5usjweM8O+TmhCt3Ky+OnNgDw3tk8o93AAAoN0KKnQbjUb/yuUAAByuFZUO3TfvW5WvcwS2Z5p0zwW/1U2L39Skq+7RemNPf1+/9ERNH3MSl5MDAIAOIajQPWPGjFDVAQDoZFZUOjTxpcXa6KhTjx01qklMVkP03v9ben3IKL11/Dn+thhJl57SW/decgIz2wAAoMM4ooXUnE6nnE5nqGsBAHQSi1Zv1fXFX2ijo06nrl+u/7x0q6Z+/GKT7XyBOz0xRn+4/EQCNwAA6HAOK3QvW7ZMgwYNUlpamtLS0jRo0CB9/fXXrVUbACDCVLncemrhKk18aYmqd+3WTV/N0yuv3qMeO+2asORNXfjjpwHbGySd2KurXsk7Q786sx+BGwAAdDgtvrx8zZo1MpvNysnJ8V9W/tprr8lsNstms+mYY45ptSIBAB3fikqHHnjrO321pkZd6nbp6fee1KU/LvL3LzrmZH3Vd4j/dZSkUcdn6Pejj9PgXilhqBgAACB4LQ7dkyZNUl5enp5//nl/29ixY5Wfn6+8vDxWKgcAHFCVy617536rZRscMm1fr+fnPaRB29f7+585PVePnn29PFHRkhoD99nHdtdDY05idhsAAHRoLQ7dixcvVlFRUZP2goICjRgxopk9Wk95ebmsVqu/rlmzZsloNPr7JPln4O12u8xmsyTJZrOptLRUJpNJNptNeXl5/v0O1gcAODL22nqVfrRa//ziJ21x1evCHz/VI/95XF3rayVJzrgu+v2ld2n+oNP9+0RJGtSzq6ZddDyBGwAAdHgtDt0Oh0P9+vVr0m4ymWS320NY0qFZrVZNmTJFkjRz5kyNGjVKZWVlkhqfHV5cXCxJslgsKikp8e+Xm5vr385ms2nixIn+/oP1AQAO31aXW3MWr9er39hVX79HUz95WZO+et3f/0P3YzTpqnu0Nr2Pvy0mShrSO0UFFx7PJeUAACAiHNHq5eFUXl6u6dOn+1/n5OSovLxcNptNkjR8+HDV1NSopqZG8+fPD5jJ3pfJZPLPlh+sDwBw+FZUOvTHN5er7Kca1TV4FeX16NQN3/n73zjhHF31y0cDAvfgzCQ9nHuKZv3qVJ7BDQAAIsZhPaf7p59+UlpaWkDb9u3b/X1erzegr7mZ8WCZzWbNmjXL/9o3y56enu5va+6ycKvVGrCNb5/y8nItWbLkgH2+S9MBAC2zaPVW3V3ytbY43Do+zSvJoN3Rsbrlimma98/f6/nTc/Sy+VLJYJAkGRNjdOGJvfT7C47jcnIAABBxWhy6vV6vTCZTi/q8Xq8MBoP27NkTfIXNyMnJ8f/37NmzZbFY/EHbbrertLRUUuP93vn5+Qe9BL66uvqgfQCAlltR6dAdry7Vth31Snc7pbRkf9/mlO46L69I7tgEf9vgzK7KP2egRg7qTuAGAAARqcWhuz3e3+wL2L57sSUFLIBmMpmUnZ2tioqKgx7jcPvq6upUV1fnf+10OiVJHo9HHo+n5W8AB+TxeOT1ejmfEYwxjixbXW699OlavfbVOtU7d+jxD57RyZUrVXD7I4pSV/929bHxipJXaV1iNPrEnrrTcpy6/xy2+Sx0THwvRz7GuHNgnCMfYxx6LT2XLQ7dY8eOPeJiWqK4uPig4Tg7O1sWiyWgraCgIOC+banx/mzfJeG+lchtNpuMRmOTmevq6moZjcaD9jVn+vTpeuCBB5q0b926VW63+2BvEy3k8XjkcDjk9XoVFdXhlh5ACzDGkWNFpUOvfbVOG+1uDd+5Sfe+Ol39N/8kSbrn9Sf0h2vukafxSnIlxUapf4+uOt3UXSf0TpGn1qGq2jAWj6DxvRz5GOPOgXGOfIxx6LlcrhZtZ/DufyN2BzFz5kzl5OQEXDpus9k0atQo1dTUSGqcqU5LS1NNTY2qq6sDViiXpLS0NK1Zs+agfc0F7+Zmuvv27auamhqlpLDabih4PB5t3bpVPXr04IdChGKMI8P3mx26/ZWlWrNtl85b/ZUee+cxpdTtlCTtjE3Qk7m36YW+I+WRQXFR0n8LRvlnthEZ+F6OfIxx58A4Rz7GOPScTqfS0tLkcDgOmgMPayG19qK0tFRms9kfuOfMmaO8vDyZTCYVFhb6t7NarcrJyfHPZu/LZrMpKyvrkH3NiY+PV3x8018ao6Ki+ACHkMFg4JxGOMa4Y6tyuTXz/ZVaU7VDdyx6Rbd+Ptvftzr9KN181T2KG3SUPDX/3969x7VZ3v8ffyecApQkUA6l0NqGtjLtQYF6PrbgcR5qwbqp000LXzun81Ts3H7OHawwdX6dboN6mtvcLNQ552GuePrq1K0FZ2WtthKtLVLSFkLSQjg0+f2BpMWeaCWEJK/n49GHcl83ySe5uIE313Vfl0FeGXTytDSlW+KDWDEChWs5/NHHkYF+Dn/08fAa6vsYcqHbbrerpKRk0DGr1eq/l7ugoECVlZWyWq1qamoadC96TU2NysvLNXv2bK1atWrIbQCA3Rxujx56ZYOefW+zotrb9fjf7tVpn77nb3/hyJO1+Nwb1RUXr6+pfzJVRlKsbjs7N1glAwAABE3ITi8fTVwulywWy0GnFWDovF6vHA6H0tPT+UtcmKKPQ5PD7dEdz36guv86NL1lg37z7N3Kdm2VJPUZjLrnjKv1yOx5ksEgo3zKTzfIkGDRTYW57L0dpriWwx99HBno5/BHHw+/oebAkBvpBgAEz1sbtun/1jnkk3TcpkZ/4N6aYNX3LlqsdyfOlCQlxUXpglmZOmNinI6ZegTTygEAQMQidAMAhuy1Dx3q/mJ3jEdnX6y8zz/UOPd2Lbr4drUmpcooabw1To9cdZymZYyRw+Fg4TQAABDRCN0AgP1yuD1qbHbpY4dL7a3tenPDHtsrGgy69byb1BcVpd6oGElS9th4XXuKTbmZZvYBBQAAkMRkfgDAPjncHv3u7U/16Ft2ffRErRZeXaSZ61YNOqcr1uQP3FlWky6cOV7nTs8MRrkAAACjEqEbALBPj71l11PvfKLZTz6kXzz+A6V0duiB536hLJdjr3NTE6J161m5uuqkyUpjOjkAAIAf08sBAJL6R7bf2rBNr37o0JpN7XK2bNMvn79Pc5t2j27XZ31NO+MSFBNlkLw+RUcbdURKgu684GhWJwcAANgHQjcAwD+V/OXGLfqsrVNTPm/S75+9W0c4t0iSdhmMuu/UK1R1YrFiY6KVFBOlaKNBJ+SM1aIzpig3k+0SAQAA9oXQDQBQY7NL729yaktHly54v04/f/lhmfp6JElt8WbdcMFtemvysZKkKKNBiXHRuuiY8UwnBwAAOAhCNwBEsIEp5TWrNsnevE23P/9bXfHei/7298dN1aKLl6jZki5JiouSMpLiNCc3g8ANAAAwBIRuAIhQDrdHP39hrV7/cKvc3X2a0LZFF//3NX/7U7PO0V2FpeqOjpUkxUZJJ9hSdULOWBXnTyBwAwAADAGhGwAi1GNv2fXCmhb1fbGd9sbk8br1vO/rgefv04+K/kc1M8/yn2uJM+r8WVkqPGqcZmRZCNwAAABDROgGgAjjcHv04gcteuJNu9S7S4qKlkGST9LfjzxZp43P1daksYo2SHExBuUdkaI7zjuKxdIAAAAOA6EbACLEQNj+/bsb1bbZoQdeeEBt8Wb94JzvybfneUljlTsuScfbknXMhBSdMiWVkW0AAIDDROgGgAiwtqVD97+8Xu/YtyuruUkr/nK3bO2fS5L+k3mkls/aPZU8LkoqOy1H8/KyglUuAABA2CB0A0CYW9vSoTufbdQHzS6dteY13fP3B5XQ2y1J6ohLlGNM8qDzj52YolOmpgajVAAAgLBD6AaAMOZwe/TrV5v00eY2lf/jEX179XP+trXpk1U27w5tso6TJBklHTcpWT++8GimkwMAAAwTQjcAhLG3NmzT5nVNevzJHyt/81r/8drpc/XDs66TJ8YkSYqSdNlxE/X9omkEbgAAgGFE6AaAMLW2pUOrnvyLHnnkTqXubJck9Rij9eOiMj016xzJYJAkRUdJJ01OJXADAAAEAKEbAMLQ2pYOVby4TmXPP+EP3C1JqfrevCVanXmkJCnWKFkSYnRMtlW3nJ1L4AYAAAgAQjcAhAGH26PGZpdaXV3KMMfrnY+3aYurW1XX/Fg5S7+jT1OzdcOFt8ltTlZKdJRmTrDopJxUTUlP0owsC4EbAAAgQAjdABDi1rZ06LE3P9Hm9i6lxEcpMT5Oa1s6FBNlVHz2eN32vQe1ITZZnV5pTGyULi2YoKtOmkzQBgAAGAHGYBcAADh8DrdHD7/6sd76eJsmv/F33bx4gZo3bFRvr1ftO7sVG21QQu40TcgwKyE2WifYxhK4AQAARhChGwBC2IsftOjd9a36znO/0dI//URTWj/Vokfvkqe7W7ExUfpoi1utLo86unqVm5mkRWdMIXADAACMIKaXA0AIeuvjrXry7U/134b1eugvFTrxsw/8be2mJHXt9KgoN1PpSSZtbNupI1ISdc70ccrNNAexagAAgMhD6AaAEOJwe7R81SY9+uYnymlao9q/3KPMHdslSb3GKC2dc42eyL9ASdHRmpSaqNLTcoJcMQAAQGQjdANACHC4PXprwza93LhF9Z9u14X/fFZ3vPKIYr19kqTWMSn67kW36z8Tj5JRknVMrKakJwW3aAAAABC6AWC0c7g9WlG/Was+bZdzm1M/qqnQRY2v+dv/NWG6rr+wXFvHJCtWUky0UTPGWzQjyxK8ogEAACCJ0A0Ao9bA3ttvrG/VpjaPYqIMKlr/7qDA/cjsi3XP6VerLypaRknmhFgdO8Gq6+dMZcE0AACAUYDQDQCj0MDodkuHRxu3darV5VGP16t1OScpa1ah5q59S4vPvVEvfe1UeSUZJI1PjtMtZ31Np0xJJXADAACMEoRuABiFGptdWvu5Szs8PbJv61RHV68MBp/ioqP1k/Ou14PHFeuTsdmKNhoUHxultDGx+u6caZp3bFawSwcAAMAeCN0AMMo43B795b3N+uD9Jv3smUotLzhfL06eLaPBoMRYg+JTzGqNNWl8fLSyrQmKj4vSUZlmnTIlNdilAwAA4EsI3QAwigxMK+9559/6w5N3KrvDoVmb1urThQ9qXdI4GQzSyVPT1NWzSwmxUcrNTFKGOV4zsixMKQcAABiFCN0AMAr4F037yKFJz/5Jv/r9LxS7q1eS1B0dq0S3U/Fjs2WJj9G0jCStb3Xr9CPTNSc3PciVAwAA4EAI3QAQZA63R797+1Nt+Gyb5j2yVOf++0V/W+PEo3TrpT/UlsRkSVJ8TJTWt7qVaTGxJRgAAEAIIHQDQJAtX7VJb9et1s+f+omO+nzD7uPHX6QHzi1VtzFGpiiDxo6J1clTU3XMhGSmkwMAAIQIQjcABInD7dFLa7ZozaNP67FnKpXscUuSuqLj9JOv36B/n3yeUk3R6tvl1clTUjU/L1u5meYgVw0AAIBDQegGgBG2tqVDz9Q36+2mbepo3abn/vILf+DeaM3UdfN+oM+yp2iGOVYLT5vCqDYAAEAIMwa7AACIJGtbOlTx0od6qbFFWzo8avHG6Zbzb5ZXBtVNOU4Xf/uXWps+WX1ery6dfYTm5KYTuAEAAEIYI90AMIL+0diqLR0eWUzR8vR65ZP0ek6BFnxzqVZnHyWj0Sj5pITYKPbdBgAACAOMdAPACEp79mndWnOvvD6pp8+r+Nj+b8OrJkyXz2CUzyfFRhl0Rm4GI9wAAABhgJFuABgJ3d3q/O4NuvzRaknSf8ceoSdnXyiD1yCjJK+kKIMUF23UUePNKj3VFtRyAQAAMDwI3QAQaJs3q3feJUpYvcp/KH3LRnX17FJMtFGWhGilJsaqe5dPx0ywatEZU1ilHAAAIEwQugFgmDncHjU2u9Tq6lLu2tWaddt1itm2VZK0KzZWddffqRdyz1Tc525ZE2J03KQUmWKjlGkxqTh/AtPKAQAAwgihGwCGkcPt0e/e/lTrPnfp7Bef1KwVv5HR55UkOTOy9E5FldpzZ+h8SVPSXZLBp9xxZmWY49kaDAAAIAwRugFgGL24pkWvvrtBtz1doTnr/uk//tGxJ+uZm+7RhKkT+u/h9vnkk3TGtAzNyU0PWr0AAAAILEI3AAwDh9ujf27Yruo37bruuepBgfvhU76hF+ZdqzPTU7W+1a3E2Gjt7OlTpsWkGVmWIFYNAACAQCN0A8BX5HB7tKJ+s1Z92iZXZ6/uPfUKnW5fLatnh8ovulWv2AqU1uPVlLQkWRJi1OrqYjo5AABAhCB0A8BX1NjsUkuHR0mmGCXGRWt7whiVzf+h+uLitSk5UwafT0mx0fL09WleblawywUAAMAIMga7AAAIaS0tmvLdbyt9R5ss8TEaY4pWTJRR69MmaaM1Q5KUEBetVLNJGeb4IBcLAACAkUboBoDD9dZbUl6eJr76oi74+U3KSozShOQEmeNjZDRKMhgVF21UhjlOx0ywcv82AABABGJ6OQAcKp9PevBB+W69VYa+PkmSxdGs9nVNOmLiJPXt8so5Jk7WhBiNt5p0Yk6aTpmSyv3bAAAAEYjQDQCHYscO6dprpaefluGLQ5/OOkFPXH+33JZkHZls0ulHprNIGgAAACQRugFgyD5+c7WSr/yGxm782H+s8crr9EHZrZoSFaX1rW5NSTez7zYAAAD8CN0AsB8Ot0eNza7+Lb7qXtQJP71VCZ5OSdLOuAT9vKRcY69YoMzoaBklJcZGq9XVFdyiAQAAMKoQugFgH9a2dOixNz/R5vYuzdhq1zd+tMjf1pKdo3uu/ZneULKObXYq0xIvr8+nnT19rFAOAACAQVi9HAC+ZG1Lh37+/Dq9uWGb3J4+1adMUu3xF0qS/jm7UL/86ZPqtk1VfEyUPt3eqU1tnVrf6lamxcQK5QAAABiEkW4A+ILD7dE/N2zX79/9RPatO2WKiVJnT5+8PqMeOO9/9O/MI/XhmV+XzZSgWJ9XCXHROnq8WRPHxivDHM/iaQAAANgLoRsA1B+4V9Rv1qpPtuuEl2s0LTZBL884UymJserq2aW4RJNenjVXYzp7FbV9pzp7+pSdHK9FZ0xRbqY52OUDAABglCJ0A4CkxmaXtjna9T+P/0zHvfm8umJM2pA2SZujcxRjNKi3x6eCScmypY3Rth3dOiIlUedMH0fgBgAAwAERugFAUut7H+jb5dcpe9MGSVJ8r0dnfFKvp7Jz1Ov1aUr6GN12di4hGwAAAIeE0A0g4jmXP6OLr71K8Z07JEmdsSbdfcmten3m6TLHx2rGeLOuPdVG4AYAAMAhI3QDiDgD+2872nfo+N8/rMm/ud/f1pwxUfeXLdW7pnRlmON15YmTdMrUVBZIAwAAwGEhdAOIKAMLpjk3bVHxL2/X5Pf+6W9bf3KRar77E3mNcZrZ69WxE5M1Ly8riNUCAAAg1BG6AUSUxmaXWpxd+u7S65Wx7n1J0i6DUb895xr9Z8FCFYxP0RFx0Vrf6taU9DFBrhYAAAChjtANIKK0urpkMBj0xIVluvWj67Uj0az7v/MT/XvSTHnbOhUdZVRaUpwyLSbNyLIEu1wAAACEOEI3gIjhcHtkd+zUqx861JM0VTtKbteHObO0xZKqWelJ2uX1yRRj1BlHpmtGloX7uAEAAPCVEboBhK2BBdPcH21Q7rN/0nOXLtK6Fpe6+7zq7unTs0eeJmt8/7dBU7RRCXHROuPIdM3JTQ9y5QAAAAgXhG4AYcfh9uifG7br7/9t0bT339F11T9SgrtDmdt79XHJQtlSE9Xd59Wn23bIJ8liitFmZ5dOn5bGlHIAAAAMK0I3gLCytqVDj771if77Wbvmr/yDrvnH4zL6fJKkM999UW9+/XJJMZqYkiBTdJR88koy6ITJY1WcP4Ep5QAAABhWhG4AYcPh9uixNz/RJx9v1p1/XKoT177tb/vPMafq7gW3K9mUIItB2uLyaEd3nzLMJs2elEzgBgAAQEAQugGEjcZml7zvv6+Hqu/Q+G3NkiSvwaA/nHeN3i5ZqN6dver1ejUhOUG9u7yyxsfonOmZOmVqKoEbAAAAAUHoBhA+/vB73f2LO2Tq7ZYkOeOTtPiScr1/1PE62mfQSTljNSU9SZ7ePp3OCuUAAAAYAYRuAOHhiSc05+e3+j/8MPtI3XnlnfogyqrM2GhdMHM8I9oAAAAYcYRuAGFh61nny5tlU0azXc8ff75+O+8G7YyKUbbRqHNmZGpeXlawSwQAAEAEInQDCHkOt0cr1ndo03crlPr+Kr18/HmKjjIof5xZBoNBx0ywBrtEAAAARChCN4CQ4nB71Li5Q5Zlv1b3+RdoynHT1djsUkuHRxNPPEbvZU+StbNHO7p3qa2zR7MnpbD3NgAAAIKG0A0gZDjcHj33f+t04s/LdfQ7K9X8XK2e/fVyyRSnxNhomeNjlTcxWc3OLm3cvlMTkhPYCgwAAABBRegGEDLsb6zSRf/zLaU1fypJympaq8Q3XtXWM87Wzp4+eX0+JZliNC2j/1vb6UemE7gBAAAQVIRuAKFh+XLlX/1txXR1SpJ6ksx6+84HtPmoE2WNi1JmjEnrW91KjI3Wzp4+ZVpMTCsHAABA0BG6AYxuvb1Sebn0y18q5otDzUdM0/LbH1B87lTt7PBo9uQUTc8yq7HZpVZXlzLM8ezBDQAAgFGB0A1g1HG4PWpsdqnjk40680c3yFr/rr/ttePP0a+Kb1Z3j0mxa1t1Us5Yf8Cek2sKYtUAAADA3gjdAEYVh9ujFfWb1d7s0PdunKek7Q5Jkjc6Rs9fe7uaL71S013d6ujqldvTqynpSYxoAwAAYNQidAMYVRqbXbJv3SlTYpL+dfJ5KnzuCTnHZmh5+f1qn56nCQlxsiT0h+xNbZ3y9PYFuWIAAABg/wjdAEaVjx0ufdbWKYOkTecv1I7uXXph7gIlT86S6YsVyo0Gg7w+n3b29CnDHB/skgEAAID9CsnQ3dDQIEnKy8uT3W6X0+lUXl6eJMlut6u2tlY2m012u12lpaWyWq1fqQ3ACFi/XlqzRp2WmXJ29ujIcUkyGox69arv67Mtbk0yxSplTCwrlAMAACCkhGTorqqqUnV1tSSpsLBQNTU1/raSkhLV19dL6g/SCxcu9LcfbhuAAHv2WemqqySPRxMf/LOsCePkcHcrLipK3bt2yZoQqzSzSRcfO54VygEAABBSQjJ05+fnq729XZIGjUbb7fZB59lsNtXV1X2lNgAB1Ncnww9+IFVU+A+d9seH9c737pMpxqgd3X0aExcvT69XU9LHKD3JxArlAAAACCnGYBdwuKxW617Tv+vq6pSSkjLoWEpKihoaGg67DUCAOBxK/sY3ZNgjcOuyy+R7+s+ypSXKYDBonDleBoNBtrREppEDAAAgJIXkSLfT6VRtba0kadWqVSorK5PNZpPT6dzn+W1tbYfdti/d3d3q7u72f+xyuSRJXq9XXq93aC8CB+T1euXz+Xg/w9W//iXDpZcqbvNmSZIvOlq+e++Vrr9eYw0GXZKQoMbP3XK4upRujteM8WaNTYzh6yHEcB1HBvo5/NHHkYF+Dn/08fAb6nsZkqF7z0XObDabioqK1NTUtN/z9xeqD7dt6dKluuuuu/Y6vnXrVnk8nv0+HobO6/Wqo6NDPp9PRmPITsiAJGdXjz7b3ilnZ49ijEZN+utyzXxgqYx9/Vt97UpPl7O6Wr3HHy9t3er/vKOTpaOTTZJ88nZ1yNEVpBeAw8Z1HBno5/BHH0cG+jn80cfDz+12D+m8URO6q6urDxici4qKVFhYKKn/HuyB1coHVhu32+2yWq17jU63tbX5p6IfTtu+LFmyRDfffLP/Y5fLpQkTJigtLU1ms3nIrxn75/V6ZTAYlJaWxjeFELbV7dFr65rV4uqVQQbNevgeHbvyj/72LUcfI2NNjVKPtAWxSgQK13FkoJ/DH30cGejn8EcfDz+TaWhrDY2a0F1aWjqk8xoaGjR37lz/QmoDUlJSVFhYqKqqqr0+p6CgQDab7bDa9iUuLk5xcXuvmGw0GvkCHkYGg4H3NMT9t2WHWlzdmpZh1vpWt1bnnakLXluumL5erVtwjf5e8m3NVJLm0sdhi+s4MtDP4Y8+jgz0c/ijj4fXUN/HURO6h8pms6lij4WX6urqVFxcvM+F1ex2uwoKCr5SG4DD1+rq6t9Tu7tP67e4tT0tRw+X3KwxKWYlXHG5YrdvlcPFvHEAAACEr5AL3VarVQUFBaqsrJTValVTU9Og/bRrampUXl6u2bNna9WqVcPSBuAw7NqlY+qe1Xs5p+rjrV617+zRjp5deuqoucpKSdDZXT3y9O1Sujk+2JUCAAAAAWPw+Xy+YBcR6lwulywWizo6Orine5h4vV45HA6lp6cz/SUUtbVJl18u/f3veuXi76jytG8pOT5WzR1dknxKjI1WVnK8Ts6K0dePy1W6heAdjriOIwP9HP7o48hAP4c/+nj4DTUHhtxIN4BRrqFBmj9f+vRTSdKZf/udXj/1Qu1InqgJYxMkSQ6XR9nJJp08JVmpSXuvjwAAAACEC0I3gOHz+OPSdddJA/vYp6Xp/crfyJCco/yMJBkNBnl9Pq1vdeu0aWmyxDPRBgAAAOGN0A3gq/N4pBtukJYt233s+OOl2lplWVKVWb9Z61vd/Yuq9fQp02LSjPFmebs6glczAAAAMAII3QAOmcPtUWOzS62uLh3h3qbZt5Uq5r2G3ScsWiTdf78UF6d0SfPzs/3nZ5jjNSPLorGJMXKwcDkAAADCHKEbwCFxuD1aUb9ZLR0eTWpu0qzbr1aM29nfGB8vVVVJV1456HPSk0yak2sadMzr9Y5QxQAAAEDwELoBHJLGZpdaOjyalpGkGOvX5BmfrcSPnOqacITi//ZXadasYJcIAAAAjBqsFQ/gkLS6upQYGy2jwaBdJpPeWvpbNZ55gV547DkCNwAAAPAlhG4AQ7dmjSZt/1w7e/rk9fWvPO7OzNbyG+9WSva4IBcHAAAAjD6EbgBD84c/SCecoNm3XKsJsbu0vtWtTW2dWt/q7l+NPMsS7AoBAACAUYd7ugEcWE+PdMst0kMPSZKi163VqSse07pFi+Xp6/OvRp6WFBfkQgEAAIDRh9ANYP+am6WSEumdd/yH3j+7WH89+1tKc3Vpfn620pNMB3gAAAAAILIRugH4rW3p0D8aW7WxbadO3tSoiytuUfS2rZKk3phY1d/6E9kv+oZsPp/Wt7rV2OzaayswAAAAALsRugFI6g/cFS99qC3OLl32Vq3m/fU3ivpiL+0dmVmqvf1/FXv8bEmS0WBQYmy0Wl1dwSwZAAAAGPUI3QAkSf9obNUWZ5furlmq/Hf/4T/+acEp+uzBZbI7+jTN55PRYJDX59POnv77uQEAAADsH6uXA5AkbWzbqYS4GG2ZMMV/bPk5V+vBm3+p3OmTlGkxsWI5AAAAcIgY6QYgSToiJVFrP3fpHxd9W+ktG9VwQqGeGX+szk01Kz3JpPn52WpsdqnV1cWK5QAAAMAQEbqBSNbXJ739tnTaaTpreobe29SuDx07dfdlS9TZ06dxFpPOmT5OkpSeZGLRNAAAAOAQEbqBCOJwe/yj1RO63TruB4sU+87b0muv6ahTT1X5ubn+1cuPSEnUOdPHKTfTHOyyAQAAgJBF6AYihMPt0Yr6zWrp8GjahjWaeff3Fdvevx2YrrhC2rBBR2VadFQm92kDAAAAw4XQDUSIxmaXWpxduuDNZ5T3vz9T1K4+SZI7NUO9jz2plNjYIFcIAAAAhB9CNxAhtrVu14L//YGOfv15/7EPpuXpVwt/omOjsjTf7VF6EvdsAwAAAMOJ0A1Egg0bdN7CSzRmw4f+QysvuEqPn3uNcjKtaunov9ebhdIAAACA4UXoBsLdyy9Ll16qMS6XJKnTlKBfXXGH3pt9pizxMcpOTpCzs1etrq4gFwoAAACEH0I3EEb2XJ08wxyv6VlmpWdmSr29kqS+3K+p5rb79V6fRVPTxyg7OUGJcdFqdvafDwAAAGB4EbqBMLHn6uSJsdFa1+LWR1tcmp8/TenV1dILLyh62TKd64tW5xfnOTt71ezsUqbFpBlZrFoOAAAADDdCNxAmGptdaunw6DjXJu2YPFV90fFa3+ruv1f7iiukyy+XDAalS5qfnz1oRHxGlkVpSXHBfgkAAABA2CF0A2GitaNTJ9WtUFHV3fr44m+q/pa7lBgbvftebYPBf256kolF0wAAAIARQOgGwkFXl86oWKLMv/xZknRkzRNqPvF0fWgr4F5tAAAAIIgI3UCos9vVO+8SZa5533/o7Quv1P9NnMW92gAAAECQEbqBUPbii/JefoVinO2SpG5TvB67+of6z0ln6ZzJ6Tplair3agMAAABBZAx2AQAOg9cr/fjH0te/LuMXgds10aa6x55T0lWXK8NskiUhhsANAAAABBkj3UCocbmkyy6TXnrJf+ijkwr1/k8fUF9ikozS4AXUAAAAAAQNoRsINSZTf/CWJKNRH990h/54SommJYyRUZLX59POnj4WUAMAAABGAUI3EGpiY6Xly6VzzpEeeEDm2Scps36z1re6lRgbrZ09fSygBgAAAIwShG5gFHK4PWpsdqnV1aVxJqNmGDuVOv3I3SeMHy/95z+S0ah0SfPzs/3nZ5jjNSPLwv3cAAAAwChA6AZGGYfboxX1m9XS4dE4p0On/vxGxex0aeu7/1LahHG7TzTuXgcxPcmkObmmIFQLAAAA4EBYvRwYZRqbXWrp8Oi0je/r2zcUK3tDoyyff6b2K78jh9sT7PIAAAAAHAJCNzDKtDp3au5fHtWcm76leFf/dmBbUsfrkVMv04r6zQRvAAAAIIQwvRwYTZxOFd5xndJefdl/qPHYU/TLK3+o8ZPHq6Wj/15vppIDAAAAoYHQDYwWH3wgXXKJ0j7+WJLkNRj0p/Ov0fPnXy1zYpyykxPk7Oxl/20AAAAghBC6gdHgT3+SrrlG6uoP1N7kFP31tkr9bexRmpo+RtnJCUqMi1azs4v9twEAAIAQQugGRoPWVn/gVl6ejCtW6OSx47Tli1XMnZ29anZ2sf82AAAAEGII3cBocOON0rvvSmPGSA89JJlM7L8NAAAAhAFCNxAMmzdL2dm7PzYYpN//XoqJGXQa+28DAAAAoY0tw4AAc7g9evVDh/707416dV2r3HffI9ls0ssvDz7xS4EbAAAAQOhjpBsIIIfboxVf3Jed3NetGfcvUdLbK/sbv/lNac0aKSsruEUCAAAACBhCNxBAjc0utXR4VNDVqtNvL5NlY9PuxkWLpHHjglccAAAAgIBjejkQQK2uLuX9q07nXnORP3B7EpP0xr2PSD/9qRQVFeQKAQAAAAQSI91AoPT16eTfVmji47/xH2qfkqvf3XKfZp5REMTCAAAAAIwUQjcQCK2t0oIFmvjGG/5DjWdeoL/8z4+Ump7MXtsAAABAhCB0A4HQ0SG9954kyRcTo/W3/1QfnL9AJ1sS2GsbAAAAiCCEbiAQpk2TnnhCuuEGGWpqdOQJJ+jIYNcEAAAAYMQRuoGvwOH2qLHZpW2t25VuSdBRORlKTzL1N86bJ519tpSQENwiAQAAAAQNq5cDh2lgD+41r63SmVddJPOt39eK1ZvkcHt2n0TgBgAAACIaI93AYWpsdsnyjxdV/OAPFbvTrbSNG/RZ7jFqzLxOc3JNwS4PAAAAwChA6AYOx65dyrjnLs353a/9h5yTp2rrrOPU5eoKYmEAAAAARhOmlwOHats26ZxzdPQegXtj4QX6+yPPalP6BGWY44NYHAAAAIDRhJFu4FD8+99ScbG0aZMkyWuM0stX36I186/WTvcuZVpM7MENAAAAwI/QDQyFzyctWyZ973tST0//sXHj1PHE7xV3xExNdHUpwxzPHtwAAAAABiF0A0Ph80m1tbsD9ymnSMuXKzkzU3OCWxkAAACAUYzQDXzJwN7brV+MXk/PMvfvvf3UU1JenjR/vlRZKcXEBLtUAAAAAKMcoRvYw8De2y0dHll3dWtdVJw+2uLS/PxspaemSmvWSFZrsMsEAAAAECJYvRzYQ2OzS1vaOzX/+UdV9t2LNCO2Ry0d/SPfkgjcAAAAAA4JoRvYQ/umFn1r6fc065EHlLilWaf+v+9pTJRBrey9DQAAAOAwML0cGPDeezrvOxcrfvNnkiSv0ajPjz9NO/q87L0NAAAA4LAQuhGRvrxYWsHrf5X5phsU7/FIknZYUvS38vu07qgC9t4GAAAAcNgI3Yg4a1s69Nibn2hze5fSYqVvPnW/zHW1/vbegtl6v7JKSkzRGey9DQAAAOArIHQjojjcHj361idqbO7Q13qduv7XSzRl47rdJyxapJj779fJcXE6OXhlAgAAAAgTLKSGiNLY7FJze5cykkw6zv4ff+DuiYnTO3feJz38sBTHqDYAAACA4UHoRkRpdXUpOSFWPV6v/nXGhXrnzIvVmpalHy2uUtdlVwS7PAAAAABhhunliBw9Pcowx2tMXLR2eb1qdXn0SMlNcs51afLUbBZLAwAAADDsGOlGZPjgA2n6dOXXvypbWqIs8bFKTojVzqgYTZqWrWtPtbFYGgAAAIBhx0g3wt9TT0kLF0qdnbJcV6pLX39L74/L9G8XxurkAAAAAAKF0I3w1dMj3Xqr9Ktf7T42darGppg1Z1J68OoCAAAAEDEI3QhPn38ulZRIb7+9+9g110gPPSSZTMGrCwAAAEBE4Z5uhJ833pDy8nYH7rg4adky6ZFHCNwAAAAARhShG+HD55Puu0+aO1dqbe0/NnGi9NZb0rXXBrc2AAAAABGJ6eUISQ63R43NLv9iaNOzzErv7JDuvlvatav/pKKi/kXUUlODWywAAACAiMVIN0KOw+3RivrNev0jhz7b3qXXP3JoRf1mORIs0p/+JEVFSXfcIb30EoEbAAAAQFAx0o2Q09jsUkuHR9MykhTl9WqXMV7rW91qbHZpzllnSR99JOXkBLtMAAAAAGCkG6Gn1dWlMVFS/q9+rpPuvFFGSYmx0Wp1dfWfQOAGAAAAMEow0o2Qk93j1gm3f1uT/7takrT1qFn6cM4CZZjjg1wZAAAAAAxG6EZoefttnXRpsaJaWiRJu6Jj1NItZVpMmpFlCXJxAAAAADAYoRuhweeTHn5YuukmRfX1SZK608fpjbsfVuLJp6g4y6K0pLggFwkAAAAAg4Vk6K6trVVhYaEkyWq1DmpraGiQJOXl5clut8vpdCovL0+SZLfbVVtbK5vNJrvdrtLSUv/nH6gNQbZzp1RWJv3xj7uPnXGG4v78Z52VkRG8ugAAAADgIEIydJeUlOx1rKKiQosXL1ZVVZWqq6slSYWFhaqpqRn0efX19ZL6Q/bChQv97QdqQxBt2CAVF0uNjbuP3XZb/37c0SH55QsAAAAggoRcanE6naqpqVFxcbH/WGVlpRYvXixJys/PV3t7u6TBo+B2u33Q49hsNtXV1R20DcFl+OlPdwfuMWOkJ56Q5s8Pak0AAAAAMFQhF7olDQrctbW1gz6W9p5yLkl1dXVKSUkZdCwlJUUNDQ1avXr1ftsGpqYjOHwPPijDv/4lxcRIzzwj5eYGuyQAAAAAGLKQC917Bmqn06m2tjbZbLZBx2prayVJq1atUllZmWw2m5xO5z4fr62t7YBt+9Ld3a3u7m7/xy6XS5Lk9Xrl9XoP4dVgq9ujxs/dcri6lG6O1/TMMUozx8vr9crn88lrNksvvihlZPSPdPP+hg1/H9OnYYs+jgz0c/ijjyMD/Rz+6OPhN9T3MuRC957Ky8tVUVEx6NieC6DZbDYVFRWpqalpv4+xv8B9oLalS5fqrrvu2uv41q1b5fF4Dlo3+jm7evT2x9vV3tkjU3SUvP+3RjMfvV/2xx9TwhHZ6ujokM/nkzEpSers7P+HsOH1enf3sdEY7HIQAPRxZKCfwx99HBno5/BHHw8/t9s9pPNGTeiurq4+YDguKiryr1gu9Qfiurq6vaaS2+12/5TwgZXI7Xa7rFbrXiPXbW1tslqtB2zblyVLlujmm2/2f+xyuTRhwgSlpaXJbDYP5eVC0n8/2qpPO6M1Lc2qqc/9WQX3/1hRvT2KWfRdjfnnGzIYDEpLS+ObQpjyer30cZijjyMD/Rz+6OPIQD+HP/p4+JlMpiGdN2pCd2lp6SGdv3r16n1uFzZ37lz/QmoDUlJSVFhYqKqqqr0ep6CgQDabbb9t+xIXF6e4uL33hDYajXwBHwKH2yOLb5dOXFqunOd3rxTf65WMO3fKYDDwnoY5+jj80ceRgX4Of/RxZKCfwx99PLyG+j6OmtB9qBoaGvZa/Mxmsw2abl5XV6fi4mL/aPae7Ha7CgoKDtqGwDnC5dDpt1yl8fZ1/mPvfP0Kee6+R6ePHSs5HEGsDgAAAAC+upAN3ZIGLaAm9S+yVlBQoMrKSlmtVjU1NQ3aa7umpkbl5eWaPXu2Vq1aNeQ2BMBLL+mEb14uo7N/VkJPXLz++t0fa9sFl6h4UmqQiwMAAACA4WHw+Xy+YBcR6lwulywWizo6Orin+2C8XulnP5N+/GPpiy+9ziNsen3pb2Q69hjNyLIoLSlOXq9XDodD6enpTH8JU/Rx+KOPIwP9HP7o48hAP4c/+nj4DTUHhvRIN0LQ669Ld965++OLL1bCE0/oPIslaCUBAAAAQKDwJw6MrDlzpBtvlIxG6Z57pGeekQjcAAAAAMIUI90Yeb/4hXTZZdIJJwS7EgAAAAAIKEI3hpXD7VFjs0utri6NMxl1/IM/VcLpp0pXXrn7pJgYAjcAAACAiEDoxrBxuD1aUb9ZLR0ejevYqlN/dqMSNnwg31N/kGHmTGnWrGCXCAAAAAAjinu6MWwam11q6fDotM/W6Ds3Fit7wweSJK/XJ338cZCrAwAAAICRR+jGsGnt6NScZx/XnO9fKZOzTZLkHJetfzyyQpo/P8jVAQAAAMDIY3o5hkdHhwrvWKS0V17yH9p80hw9uegnOiF/ahALAwAAAIDgIXTjq2tslC65RGkbNkiSvAaD/nn59aq75FqNS07QjCy2BAMAAAAQmQjd+Gr6+qR58/z3bHutyVpT+WttnnWiTjfHa0aWRWlJcUEuEgAAAACCg9CNryY6Wnr8cenMM6WZM2WsrdUxkyfrmGDXBQAAAACjAKEbB7Xn3tsZ5nhNzzIrPcm0+4RTTpFefLH/v/HxwSsUAAAAAEYZQjcOaM+9txNjo9VZ95oy33xe+vOTSrck7D6xqCh4RQIAAADAKEXoxgEN7L09LX2Mjvrzozrm4aUy7tol+4+mKP3Be4JdHgAAAACMaoRuHFCrq0vJfd069Ue364hXXvAfj1/1jrRrlxQVFcTqAAAAAGB0I3TjgCZv26y53/+W0jfb/cfeKFmoXXfepUwCNwAAAAAcEKEb+7dihY67+moZd+yQJHkSk7TixrvlKjpHxRNTglwcAAAAAIx+hG7sra9PWrJEuvdeGb84tGPa1/Ta3b9R5tFf01nsvQ0AAAAAQ0LojnD73A7sV/dL9967+6QrrtCYqipdkJCw/wcCAAAAAOzFePBTEK4GtgN7/SOHPtvepdc/cmhF/WY5vlMmTZ8uxcRIDz0kPfmkROAGAAAAgEPGSHcE828HlpEko8Egr8+n9a1uNTp3ac6KFdL27dKJJwa7TAAAAAAIWYx0R7BWV5es3h4dX/lDJTZ/JqPBoMTYaLW6uqRp0wjcAAAAAPAVMdIdwSa1b9GZN12pcRs3aOx/G/Ry1TPa2dOnDHN8sEsDAAAAgLDASHekeu45Hb/gbI3buEGSlLjpU7lX1SvTYtKMLEuQiwMAAACA8MBIdwQYtEJ5YqyOf+J/lXhvhf8vLjtzpum1u3+tKTNnaAbbgQEAAADAsCF0h7mBFcpbOjxK7XJr9j23KPH9d3afUFKixEcf1deTkoJXJAAAAACEKUJ3mBtYofzE7XaddsciJW5pliR5o6JkrKyUbrpJMhiCXCUAAAAAhCfu6Q5zra4ujXNtU9GiS/2Be0dyql59+Cnp5psJ3AAAAAAQQITuMJdhjtcWc6rWXXatJMkxI1+/ue9pGU8/I7iFAQAAAEAEYHp5mJueZdZHW1yqvXChWhJT9M6Z85SemsQK5QAAAAAwAgjdYS49yaT5+dn9q5dnX6NTzfGsUA4AAAAAI4TQHQHSk0yak2sKdhkAAAAAEHG4pxsAAAAAgAAhdAMAAAAAECCEbgAAAAAAAoTQDQAAAABAgBC6AQAAAAAIEEI3AAAAAAABQugGAAAAACBACN0AAAAAAAQIoRsAAAAAgAAhdAMAAAAAECCEbgAAAAAAAoTQDQAAAABAgBC6AQAAAAAIEEI3AAAAAAABQugGAAAAACBACN0AAAAAAAQIoRsAAAAAgAAhdAMAAAAAECCEbgAAAAAAAoTQDQAAAABAgBC6AQAAAAAIEEI3AAAAAAABQugGAAAAACBACN0AAAAAAAQIoRsAAAAAgAAhdAMAAAAAECCEbgAAAAAAAiQ62AWEA5/PJ0lyuVxBriR8eL1eud1umUwmGY38bSgc0cfhjz6ODPRz+KOPIwP9HP7o4+E3kP8G8uD+ELqHgdvtliRNmDAhyJUAAAAAAEaS2+2WxWLZb7vBd7BYjoPyer36/PPPlZSUJIPBEOxywoLL5dKECRO0adMmmc3mYJeDAKCPwx99HBno5/BHH0cG+jn80cfDz+fzye12a/z48QecPcBI9zAwGo3Kzs4OdhlhyWw2800hzNHH4Y8+jgz0c/ijjyMD/Rz+6OPhdaAR7gFM5gcAAAAAIEAI3QAAAAAABAihG6NSXFyc7rzzTsXFxQW7FAQIfRz+6OPIQD+HP/o4MtDP4Y8+Dh4WUgMAAAAAIEAY6QYAAAAAIEAI3QAAAAAABAihGwAAAACAAGGfbgRFbW2tCgsLJUlWq3VQW0NDgyQpLy9PdrtdTqdTeXl5kiS73a7a2lrZbDbZ7XaVlpb6P/9AbQiOQPQl/Ty6NDQ0qK6uTpK0atUqLVu2zN8fXMvhjX4KXVy3kYGfweGP36dDiA8IAkl7/auoqPD5fD5faWmp/1hhYaGvvb3d/3l5eXn+/29qavIVFxcPqQ3BEYi+pJ9Hl4HrduD/9+wfruXwRj+FLq7byMDP4PDH79Ohg9CNEdfe3u6rqakZdGzPXwCqqqp87e3tg745+Hz9F/6e3wh8Pp/ParUetA3BM9x9ST+PLvX19YPe/6amJp8kX1NTk8/n41oOZ/RT6OK6jRz8DA5v/D4dWrinG0FRXFzs///a2tpBH0v9U2S+PJWlrq5OKSkpg46lpKT4p8ntrw3BNZx9ST+PLnl5eVq2bJn/Y6fTKUmD+ohrOTzRT6GL6zay8DM4vPH7dOjgnm6MuD0vfqfTqba2NtlstkHHamtrJfXfa1ZWViabzeb/xeDL2traDtiG4BnuvqSfR589f8A//fTTKiws9F/jXMvhi34KbVy3kYGfweGN36dDC6EbQVVeXq6KiopBx/ZcsMFms6moqEhNTU37fYz9fYM4WBsCb6T6kn4OvoEf7vX19f5jXMuRh34KLVy34Y2fwZGD36dHP0I3hk11dfUBL+aioiL/CotS/wVcV1e317QXu93uX11xYOVEu90uq9W611/a2tra/FNn9teG4XUo/TzcfUk/j4xDvZal/h/4K1euHNQXXMvhi34KD1y34Y2fwZGB36dDRLBvKkfkWrly5V6LNXx5gZf29nafJF97e/t+F3c4WBuCIxB9ST+PThUVFf5FmAYWbeFaDm/0U+jjug1v/AyOHPw+HRoY6UbQNDQ07LVYg81mGzQ9pq6uTsXFxftcCMJut6ugoOCgbQiOQPQl/Tz61NbWKi8vz3+f2PLly1VaWsq1HOb2vG9Qop9CDddt+ONncOTg9+nQYPD5fL5gF4HIVFlZqaamJlVVVQ06PrB6otVqVVNT06BvGna7XVVVVZo9e7ZWrVqlJUuW+L8RHKgNwRGIvqSfRw+73a6cnJxBx6xWq9rb2yVxLYc7+ik0cd1GDn4GRwZ+nw4NhG4AAAAAAAKEfboBAAAAAAgQQjcAAAAAAAFC6AYAAAAAIEAI3QAAAAAABAihGwAAAACAACF0AwAAAAAQIIRuAAAQkux2uxoaGoJdxmGrq6sLdgkAgBFA6AYARDy73S6DwaCioqJgl7JPZWVlB62ttrZWycnJQ/oXDmHP6XSqpKREVqv1Kz9WbW2tDAaDDAaDnE7nXu1FRUUqKSn5ys+zL6P1aw4AMHyig10AAADBVlVVJZvNprq6OjmdzmEJciOtsLBQr7zyyqBjA6F02bJlg47bbLaRLC0g5s6dq7KysmF9LVarVUuXLlVFRcWwPeaBFBYWqqqqSmVlZaqqqhqR5wQAjDxGugEAEa+2ttYfeqqrq7/S4wSL1WpVXl7eoH9Wq1UpKSn7PB7KBv44UlpaOqyPu2TJElVWVg7rYx5MRUWFqqur9znCDgAID4RuAEBEa2hoUFtbmwoLC1VcXKynn376sB7HbrcHbAoyBisvL1dxcfGwP+7ixYslaUSDt81mU2FhoZYuXTpizwkAGFmEbgBARKuqqlJhYaEkacGCBWpoaJDdbg9yVdgfp9OphoYGLViwICCPv3jx4hEPwCUlJUGdJQEACCxCNwAgoi1fvlxlZWWS5B893V8Aqq2tVX5+vgwGg5KTk1VeXi6pPzTl5ORIkn9BroG2fS2Clp+f739OqX+0vaioyL/QWUlJyYhMN66urva/nqKiokErgZeXl6usrEwNDQ3Kz88fNIpfXl6u5ORk5eTkqLKycq/XM5TXLPWPKOfk5BzSa169erUkKS8vb6+2srIylZWVqbq6etB7uWfNycnJe9WxpyVLlsjpdB7SbQZf9XkLCgpkt9uZYg4AYYrQDQCIWAP3Bg+MdEu7F7f6ssrKSpWUlKisrExNTU2qqanxj4jX1NRo5cqVkqT29nb5fL5DWozLbrerrKxMn3zyiV555RU1NDQEfKp6eXm5KioqVFFRoaamJpWUlCg/P9+/srnT6VRdXZ3mzp2rBQsW+F9PWVmZKisrtWTJEq1cuVLbt28/rG27ysvLVVVVpZqaGv8CcAsXLjzo5zU0NBzwnvTq6mo1NTWpvr5ey5YtU21trXJycjR27FjV19dryZIlqq6u3u8K7larVaWlpYe8mNpXed6BxeAG/qAAAAgvrF4OAIhYNTU1e90bXFZWppKSEtntdn8YcjqdKi8vH3T+wL24A1JSUiTpsBYp27OGvLw8/yhzoNjtdlVWVqq+vt4/YlxaWiqn0+n/o8LAeStXrvS/zoER4KqqKv8iZgMLgR0Kp9OpyspKrVy50v/8NTU1Sk5OPujq8du3b/e/1/szEJhtNptsNpva2tr892sPTB9vaGgY1H97Ki8vV3V1tWpraw/p3vHDfd6B18tINwCEJ0a6AQARa/ny5YP2aDYYDP4R5j1HuwdGIAOxeNeA2tpa/2jzwNT0QBkYmf7yFO3CwsJB05y//IeFgffh0ksvHfR5BQUFh/T8A6O9RUVFg957p9N50NHeg4XyL7+mL78GSQcN7TabTcXFxfu9t7u2tnavEevheN62trYDtgMAQhOhGwAQkQZCk8/n2+tfcXHxiC5sVVJSovLyci1YsECvvPLKXvtqD7eDhbuB9v3tgT0cW45ZrdZ9vvf7G30e6nPvK9geLOzuy5IlS9TQ0LDP6eBLly7d6xaE4Xjew6kTADD6EboBABGpqqpqrxHbAQsWLJDdbvePCA+M5A4liA9livCe5zidTtXW1vqnrlut1oCPeA4E2y8HyqefflpWq3W/YXvg+Jffh6HUu+drLiws9K9CfqjGjh07ItOw8/LyVFhYuM97u+vr61VTUzNszzWwNkCo758OANg3QjcAICINTOfel4Fp5AOjmVarVRUVFVq4cKFqa2tlt9tVV1enkpISf3AcCKTV1dVqaGjw3+eck5Oj1atXy+l0+u8N33NLsoGgVVVV5Q/6h7qI16Gy2WxavHixf6uqgXu8KysrDzjKPjDteuB9GHg9Xw7PQ3nNixcv1ty5c/2L2dXV1amoqOig27Xl5eWN2JZu5eXlqqurC/gCZwN/RDjUafoAgNBA6AYARJyBkdoDTWUuLi7W8uXL/R8vXrxYFRUVWrp0qXJyclRWVqbZs2f77+W1Wq0qLi5WeXn5oFW4i4uLlZKSouTkZOXn5ysnJ0elpaX+Lcak/sC9fPly//3cZWVl+x1tHi4DK5eXl5crJydHTz/9tFauXHnQ+9ZrampUWFiohQsXau7cucrJydnrfuahvOY9n39gO62SkpKDvu6BYHo4o+SHqrCwUHl5eQEfWa+rq5PNZmOkGwDClMHn8/mCXQQAAAhd+fn5Kigo2OdWa4F6vv1N/Q5FRUVFstlsI/b+AQBGFiPdAAAgpAzseR0OBqbWh8sfEAAAeyN0AwCAkFJcXCybzRYWwbu8vFylpaVMLQeAMBYd7AIAAAAO1SuvvOKfZh7o+98Dpa6uTna7XStXrgx2KQCAACJ0AwCAr6S+vn7En9NqtWrlypWy2+0hG7qdTuewbj0GABidWEgNAAAAAIAA4Z5uAAAAAAAChNANAAAAAECAELoBAAAAAAgQQjcAAAAAAAFC6AYAAAAAIEAI3QAAAAAABAihGwAAAACAACF0AwAAAAAQIIRuAAAAAAAC5P8DKxzjvLmTs8cAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 1000x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overall Torque R² Score: 0.999895\n",
"Overall Force R² Score: 0.999967\n",
"\n",
"Torque prediction is excellent!\n"
]
}
],
"source": [
"y_pred_full = model_best.predict(X_poly_best)\n",
"torque_actual_full = y.iloc[:, 1].values\n",
"torque_pred_full = y_pred_full[:, 1]\n",
"\n",
"torque_r2_overall = r2_score(torque_actual_full, torque_pred_full)\n",
"\n",
"fig, ax = plt.subplots(1, 1, figsize=(10, 8))\n",
"\n",
"ax.scatter(torque_actual_full, torque_pred_full, alpha=0.4, s=15, color='#1f77b4')\n",
"ax.plot([torque_actual_full.min(), torque_actual_full.max()], \n",
" [torque_actual_full.min(), torque_actual_full.max()], \n",
" 'r--', linewidth=2, label='Perfect Fit')\n",
"\n",
"ax.set_xlabel('Actual Torque (mN·m)', fontsize=13)\n",
"ax.set_ylabel('Predicted Torque (mN·m)', fontsize=13)\n",
"ax.set_title(f'Torque: Predicted vs Actual (R² = {torque_r2_overall:.6f})', \n",
" fontsize=14, fontweight='bold')\n",
"ax.legend(fontsize=12)\n",
"ax.grid(True, alpha=0.3)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"print(f\"Overall Torque R² Score: {torque_r2_overall:.6f}\")\n",
"print(f\"Overall Force R² Score: {r2_score(y.iloc[:, 0].values, y_pred_full[:, 0]):.6f}\")\n",
"print(f\"\\nTorque prediction is {'excellent' if torque_r2_overall > 0.99 else 'good' if torque_r2_overall > 0.95 else 'moderate'}!\")"
]
},
{
"cell_type": "markdown",
"id": "1dd6a624",
"metadata": {},
"source": [
"### Torque vs Roll Angle (Fixed Currents, Multiple Gap Heights)\n",
"\n",
"Examine how torque varies with roll angle for different gap heights. Roll angle is the primary driver of torque asymmetry."
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "70b9b4e1",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1600x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Showing torque variation with roll angle at 4 different gap heights.\n",
"Gap height affects the magnitude of torque but the relationship with roll angle remains consistent.\n"
]
}
],
"source": [
"# The following was written by AI - see [9]\n",
"# Select 4 different gap heights to visualize\n",
"# Using currL = -15A, currR = -15A configuration\n",
"gap_heights_to_plot = [8, 10, 15, 21] # mm\n",
"\n",
"fig, axes = plt.subplots(2, 2, figsize=(16, 12))\n",
"axes = axes.flatten()\n",
"\n",
"for idx, gap_height in enumerate(gap_heights_to_plot):\n",
" ax = axes[idx]\n",
" \n",
" # Fixed current configuration\n",
" currL = -15\n",
" currR = -15\n",
" \n",
" # Get actual data for this gap height\n",
" gap_data = magDf[(magDf['GapHeight [mm]'] == gap_height) & \n",
" (magDf['currL [A]'] == currL) & \n",
" (magDf['currR [A]'] == currR)]\n",
" \n",
" # Create fine grid for smooth curve across roll angles\n",
" roll_fine = np.linspace(-5, 5.0, 500)\n",
" X_condition_fine = pd.DataFrame({\n",
" 'currL [A]': [currL] * 500,\n",
" 'currR [A]': [currR] * 500,\n",
" 'rollDeg [deg]': roll_fine,\n",
" 'invGap': [1/gap_height] * 500\n",
" })\n",
" \n",
" # Predict with best degree polynomial\n",
" X_condition_poly = poly_best.transform(X_condition_fine)\n",
" y_condition_pred = model_best.predict(X_condition_poly)\n",
" \n",
" # Plot polynomial curve for TORQUE (index 1)\n",
" ax.plot(roll_fine, y_condition_pred[:, 1], '-', linewidth=2.5, \n",
" color='#ff7f0e', alpha=0.8, label=f'Degree {best_degree} Polynomial')\n",
" \n",
" # Plot actual torque data\n",
" ax.scatter(gap_data['rollDeg [deg]'], \n",
" gap_data['YokeTorque.Torque [mNewtonMeter]'],\n",
" s=100, marker='o', color='#9467bd', \n",
" edgecolors='black', linewidths=1.5,\n",
" label='Ansys Data', zorder=5)\n",
" \n",
" # Formatting\n",
" ax.set_xlabel('Roll Angle (deg)', fontsize=11)\n",
" ax.set_ylabel('Torque (mN·m)', fontsize=11)\n",
" ax.set_title(f'Gap Height = {gap_height} mm (currL={currL:.0f}A, currR={currR:.0f}A)', \n",
" fontsize=12, fontweight='bold')\n",
" ax.legend(fontsize=10, loc='best')\n",
" ax.grid(True, alpha=0.3)\n",
" \n",
" # Add vertical lines at actual roll angle data points\n",
" for roll_point in gap_data['rollDeg [deg]'].unique():\n",
" ax.axvline(roll_point, color='gray', linestyle=':', alpha=0.2, linewidth=0.8)\n",
"\n",
"plt.suptitle(f'Torque vs Roll Angle at Different Gap Heights (Degree {best_degree} Polynomial)', \n",
" fontsize=15, fontweight='bold', y=1.00)\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"print(f\"Showing torque variation with roll angle at {len(gap_heights_to_plot)} different gap heights.\")\n",
"print(\"Gap height affects the magnitude of torque but the relationship with roll angle remains consistent.\")"
]
},
{
"cell_type": "markdown",
"id": "02d02793",
"metadata": {},
"source": [
"### Torque vs Current Imbalance (Fixed Roll Angle, Multiple Gap Heights)\n",
"\n",
"Now examine how torque varies with current imbalance at different gap heights for a fixed roll angle."
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "3b8d7f6a",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1600x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Showing torque variation with current imbalance at 4 different gap heights.\n",
"All data uses currL = -15A with varying currR to create different imbalances.\n",
"Current imbalance (currR - currL) affects torque magnitude and direction.\n",
"Positive imbalance (currR > currL) and negative imbalance (currR < currL) produce opposite torques.\n"
]
}
],
"source": [
"# The following was written by AI - see [10]\n",
"# Select 4 different gap heights to visualize\n",
"# Using roll = 0.5 degrees (small but non-zero torque)\n",
"gap_heights_to_plot = [8, 10, 15, 21] # mm\n",
"roll_target = 0.5\n",
"\n",
"# Use a fixed reference current for currL\n",
"currL_ref = -15\n",
"\n",
"fig, axes = plt.subplots(2, 2, figsize=(16, 12))\n",
"axes = axes.flatten()\n",
"\n",
"for idx, gap_height in enumerate(gap_heights_to_plot):\n",
" ax = axes[idx]\n",
" \n",
" # Get actual data for this gap height, roll angle, AND fixed currL\n",
" gap_roll_data = magDf[(magDf['GapHeight [mm]'] == gap_height) & \n",
" (magDf['rollDeg [deg]'] == roll_target) &\n",
" (magDf['currL [A]'] == currL_ref)]\n",
" \n",
" # Calculate imbalance for actual data points (all have same currL now)\n",
" actual_imbalances = []\n",
" actual_torques = []\n",
" for _, row in gap_roll_data.iterrows():\n",
" imbalance = row['currR [A]'] - row['currL [A]']\n",
" torque = row['YokeTorque.Torque [mNewtonMeter]']\n",
" actual_imbalances.append(imbalance)\n",
" actual_torques.append(torque)\n",
" \n",
" # Create fine grid for smooth curve across current imbalances\n",
" # Range from -10A to +10A imbalance (currR - currL)\n",
" imbalance_fine = np.linspace(0, 35, 500)\n",
" \n",
" # Vary currR while keeping currL fixed\n",
" currR_fine = currL_ref + imbalance_fine\n",
" \n",
" X_condition_fine = pd.DataFrame({\n",
" 'currL [A]': [currL_ref] * 500,\n",
" 'currR [A]': currR_fine,\n",
" 'rollDeg [deg]': [roll_target] * 500,\n",
" 'invGap': [1/gap_height] * 500\n",
" })\n",
" \n",
" # Predict with best degree polynomial\n",
" X_condition_poly = poly_best.transform(X_condition_fine)\n",
" y_condition_pred = model_best.predict(X_condition_poly)\n",
" \n",
" # Plot polynomial curve for TORQUE (index 1)\n",
" ax.plot(imbalance_fine, y_condition_pred[:, 1], '-', linewidth=2.5, \n",
" color='#ff7f0e', alpha=0.8, label=f'Degree {best_degree} Polynomial')\n",
" \n",
" # Plot actual torque data (now only one point per imbalance value)\n",
" ax.scatter(actual_imbalances, actual_torques,\n",
" s=100, marker='o', color='#9467bd', \n",
" edgecolors='black', linewidths=1.5,\n",
" label='Ansys Data', zorder=5)\n",
" \n",
" # Formatting\n",
" ax.set_xlabel('Current Imbalance (currR - currL) [A]', fontsize=11)\n",
" ax.set_ylabel('Torque (mN·m)', fontsize=11)\n",
" ax.set_title(f'Gap Height = {gap_height} mm (currL = {currL_ref}A, roll = {roll_target}°)', \n",
" fontsize=12, fontweight='bold')\n",
" ax.legend(fontsize=10, loc='best')\n",
" ax.grid(True, alpha=0.3)\n",
" ax.axhline(0, color='black', linestyle='-', linewidth=0.5, alpha=0.3)\n",
" ax.axvline(0, color='black', linestyle='-', linewidth=0.5, alpha=0.3)\n",
" \n",
" # Add vertical lines at actual imbalance data points\n",
" for imb in set(actual_imbalances):\n",
" ax.axvline(imb, color='gray', linestyle=':', alpha=0.2, linewidth=0.8)\n",
"\n",
"plt.suptitle(f'Torque vs Current Imbalance at Different Gap Heights (currL = {currL_ref}A, Roll = {roll_target}°)', \n",
" fontsize=15, fontweight='bold', y=1.00)\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"print(f\"Showing torque variation with current imbalance at {len(gap_heights_to_plot)} different gap heights.\")\n",
"print(f\"All data uses currL = {currL_ref}A with varying currR to create different imbalances.\")\n",
"print(f\"Current imbalance (currR - currL) affects torque magnitude and direction.\")\n",
"print(f\"Positive imbalance (currR > currL) and negative imbalance (currR < currL) produce opposite torques.\")"
]
},
{
"cell_type": "markdown",
"id": "d71ac3cc",
"metadata": {},
"source": [
"### Torque Segment-Wise Performance\n",
"\n",
"Calculate R² scores for torque predictions across all segments, similar to what we did for force."
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "902343b2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Torque Prediction Analysis (across 637 segments):\n",
"\n",
"Best R² Score: 0.999964\n",
" Parameters: currL=15A, currR=-15A, roll=-1.5°\n",
"\n",
"Worst R² Score: -0.638044\n",
" Parameters: currL=-10A, currR=-10A, roll=0.0°\n",
"\n",
"Mean R²: 0.981564\n",
"Median R²: 0.999392\n",
"Std Dev: 0.124378\n"
]
},
{
"data": {
"image/png": 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AAACAQ/ZudQHttrKyopdeekkHDx6Uy+Xa6nIAAAAAAB2oVCppcXFRb3rTm9TVVft69q4L3S+99JKOHj261WUAAAAAAHaAF154QbfcckvN+bsudB88eFDSlR3T09OzxdUAAAAAwC7ytrdJL78s3Xyz9I1vVG/z398mXXhZOnCz9C9rtNkGFhYWdPToUTtj1rLrQne5S3lPTw+hGwAAAADaqdwNu6tLqpXHru2SXJIO1Gmzjax32zIDqQEAAAAA4BBCNwAAAACgPa6/Xjp48Mq/tey7Xtp78Mq/O8Cu614OAAAAANgite7jXu3/3b73cTeDK90AAAAAADiEK901XL58WZcuXdrqMoBN2bdvn/bs2bPVZQAAAAC7FqH7KqVSSa+88oqKxeJWlwK0hGEYuummm9YdVREAAABA6xG6r1IO3L29vbr22msJKuhYpVJJr7/+uubn5yVJN9988xZXBAAAgF3v4x+XCgXJ7ZZ+4zeqt3nm49IbBekat3SsRpsOQuhe5fLly3bgPnz48FaXA2zagQMHJEnz8/Pq7e2lqzkAAAC21uc/L333u9Kb31w7dD/3eenCd6UDb94RoZuB1FYp38N97bXXbnElQOuU38+MUQAAAAC0H6G7CrqUYyfh/QwAAABsHUI3AAAAAAAOIXTvQBMTE3K5XEokElXnW5Yll8uloaGhNlcGAAAAALsLoXuHMgxD8Xi86rx4PC7DMNpbkAMikYjcbre8Xq/S6fSG2qdSqYp5xWJRoVDInj8xMbHm9ZZlaWJiQtFodM08v98vl8tV8bW6JsuyNDQ0JLfbLbfbrWw2u2YZxWJRbrdboVCokc0HAAAA0AEI3TtUf3+/LMuSZVlr5iUSCQ0PD29BVa1TDqaFQkHT09MKhUJVg2zZ0NCQDMOw24+MjFTsG7/fr6GhIXv+iRMnKnoKRCIRRSKRmn/IkKTp6WmVSiX7KxAISJKy2az8fr+i0agKhYIKhYJ8Pt+a14+MjKi/v3/D+wIAAADA9kXo3sHC4fCakJhOp2Wapvx+/xZV1RqpVEqxWEySZJqmxsbGagbibDardDpd0X54eNj+vlgsyrIshcNhe34kEtH09LS9jHg8runp6apheT0jIyOKxWJ2CK+1PcVikS7/AAAAwA5D6N6Iz3xGuuWW9b9+4ifWvvYnfqKx137mM5WvW1xcO61BkUhkTTfqeDyuSCSypm058Lndbvn9/oqrwBMTE/J6vVXnDQ0NKZFIaGhoyL5PvFgsNlVvo8p/OFjdRd7n89XsYm5Z1pru9H6/325vGIYCgYB9ZduyLCWTyar7qZ54PC6v11uxbMuylM1m5fF45Pf75Xa7qy63HMwBAAAA7Cx7t7qAjrKwcOVB7us5enTttDNnGnvtwkLl96XS2mkNMk1T0pUrveUrtOl0WpOTk5qamqpoOzg4qOPHj2t6elrpdFqhUEiZTMZeTiaTkWEYikajFfPy+bxisZj9vd/vVyKR0OjoaM26GgmzXq+35jJqhfp8Pl91ummaa16Ty+Uq2k9PT2toaMiuLZlM1r0yXY1lWZqenlaxWJTf71cmk7HXceLECWUyGfve7omJCXv7IpGIhoeH6/7hAAAAANgRfvzHpXxe8nhqt3nzj0tLeam7TpsOQujeiJ4e6c1vXr/dkSPVpzXy2p6eyu9drrXTNqB8H3I8HlcqlVJ/f/+aq77pdFqWZdkhMBAIyOPxyLIsmaapYDBYsbyrBxkLBAL2MgOBgHK5XN2a6t0X7QSfzyfTNBWNRjU2NibLspRIJORZdaKHQiH5fD5NT0/LsiyFQiH7CngjksmkPB6PvR+CwaDGx8d1/PhxSaro2h6NRhWPxzU6OqpsNqupqSnNzc21dqMBAACA7aiRLPCu9uYFpxG6N+KBB658NeOP/7i51x082Pw6deW+7r6+Pjt4V7vKbFmWisWivF5vxfTy1eFisaipqSk7kF6t3feHG4ax5qp2sVisCNFXKw+2lkqlFAwGFQ6H7YHX0um0UqmUSqWSpH+8pzsSiaz7B4Sycq+CMo/Ho9nZWTuEr55f/oOGdOUPEMViUX19ffZ2SJLb7VYmk1mzXAAAAACdhdC9wxmGof7+fiUSCc3OzlYMDlbm8Xjk8/nsLuKrlQNhLBazr9ZeHc43arPdy/v7+1UsFlUsFu1QOzMzU/eqdLmLfJnf79fY2Jj9/WYfoba6FunKHzL6+/vt0cjLvQau/n/5jyFl0WjUvqccAAAAQOcjdO8CkUhEIyMjNR8TFgwGFY1GlUgk7BG8U6mUAoGAfUV2eHhYhmFUPEarWZvtXm4YhoLBoEZGRjQ5Oal8Pq9EIqFTp07Zbcp1V7uvvfyc7XK3+XJ3+vJ91sViUbFYrOGB1LLZrEKhkJLJpHw+n1KplNLptHK5nAzD0OjoqKLRqJLJpCzLWhO0AQAAgO3uzJkzWmhyrKlm9PT06Ei123Y7EKF7FwgGgzpx4kTdEJnJZDQyMqJoNCqPx6NAIKBgMCifz6dAICC3223/fzt0eZ6cnNTIyIj6+vpkmqYmJycrHucVj8eVzWbtK/vpdFqDg4OSrvwB4eqr+uXtd7vd8ng8ikQiFVfaJyYmFI/H7TCfSqUUjUYVDofl8/kUi8XsZ3+Xr6qX91M5wJeXvd7jwwAAAIDt5MyZM/rwvSM6v/D6ppf12Om/kueNN5S/5hrd/84frN7mnr+S6/pLunTj92jfvzy96XVuNVepfCPrLrGwsKBDhw7p3Llz6rlqgLKLFy9qbm5OfX192r9//xZVCLQW72sAAABsRi6X08i992vIN6wj7ps2tawPfOZeXbd4Vq8dPKzPP/C5qm2Gb/2Qeq4pannfjdobemVT63NSvWy5Gle6AQAAAADrOuK+STcfqfJ45A3o2rPH/rfWsva49mxqHdtN11YXAAAAAADATkXoBgAAAADAIYRuAAAAAAAcQugGAAAAAMAhWz6QWjqdth+zJMl+lJJlWUqlUjJNU5ZlKRwOyzCMdecBAAAAALBdbGnoTqfTSiaT9vOPh4aGlMvlJEmhUMh+lrJlWRoZGVEymVx3HgAAAAAA28WWhu5IJGKHZ9M0NT09LelKkF7NNE2l0+l15wEAAAAAsJ1sWei2LEv5fF6GYSibzco0TbuLeTqdlsfjqWjv8XiUzWY1Oztbc57P52tb/QAAAACAjfnGT/6i9ly6qMv79tds89ev3qvMN7+kD314RDe2sTanbFnozmaz8ng8SqVSCgQCSiQSMk1TwWBQxWKx6mvy+XzdedUsLS1paWnJ/n5hYUGStLKyopWVlYq2KysrKpVK9lenmpiY0IMPPqjHH39c4XB4zXzLsnTbbbcpEAjo5MmTG15+NBpVsVhUPB6XdOWPJKv/aILtpfx+rvaeBwAAANZTKpXkcrkklVTS5nLSdwf+n9VLrtomt/jD+p/f+Lref/hf6sg2/v210d+ttyx05/N5WZalQCAgwzAUDofldrvrht1agbvevPHxcT300ENrpp85c0YXL16smHbp0iWtrKxoeXlZy8vLDW3HdrSysiLDMBSPx/WzP/uza+Y/9thjMgxDpVKpqe0s/3Gi/Nrh4WGNjo7ql3/5lzddu5M++tGPKpVKyePx6L/8l/+iwcHBhtt/8pOf1D333NOS+cViUR/5yEf01FNPyePx6L777luz72q91rIsfeADH9Azzzwj0zSrrvdqy8vLWllZ0dmzZ7Vv376G9hUAAABQtri4qFv73qpreqTS/guOr++aHunWvrdqcXFR8/Pzjq+vWYuLiw2127LQbZqmDMOwRx0v/5vNZmUYxpor1+Wu6PXmVTM2NqYHHnjA/n5hYUFHjx7VkSNH1NPTU9H24sWLWlxc1N69e7V375YP7N60rq4u9ff3a3Z2Vt/5znfWXIH+7Gc/q1AopLm5uaa2s6urSy6Xy35trV4G28nw8LDcbrf9x57+/n6l0+matyTceeedOnbsWEX7gYEBe19uZv4P/uAP6vHHH1cqlbJ7Hdx2220KBoPrvvaDH/ygYrGYAoGAUqmUhoeHdfLkSXvU/2r27t2rrq4uHT58WPv31+7GAwAAAFRz/vx5PTf3vN7TJ7m6Dzi+vjcWpOfmntfBgwfV29vr+Pqa1ejv1lsaumsJBAJ21+XV+vv7ZZpmzXnVdHd3q7u7e830rq4udXV1rZnmcrnsr05Vrj0cDiuRSCgWi9nzyl3B+/v7NTc319R2duI+SqVSKhQKcrlc8nq9GhsbUyKRqPpeymazSqfT9sB+Xq9Xw8PDmpiYUDwe3/T8TCZj/5HI6/XKNE27tnqvjUQi6u/v19DQkKQro/iXj3F5WjXlY1XtPQ8AAACsx+Vy/UOPZJdc2lwGuO7vn5NrZVmlrr167cZbq7Y5tO+7equxqGsuzqmr67ZNrc9Jjf5uvWW/gZeDX7lbePlZ3T6fb00gL1/tMwyj7jxUikQiSqVSFdPi8bgikciatsViUUNDQ3K73fL7/RWjxFuWJb/fL7fbrVAotGYEeb/fX7GeiYkJeb3eqssaGhqyQ6LL5dLQ0FDd2wZaofyHhtXvEZ/PV3PUe8uy1ryf/H5/xQj6m5m/et7ExITy+byGh4fXfa3P51vzRwKv1+v4/gMAAABa5d2/HdYPfzKod//22rGnyu665RP6rz/1l3rT336ojZU5Z0v7UCeTSUWjUfn9fmUyGfvq3up5AwMDmpmZqXgOd715jvrbz0jf+Mz67Tw+6Yf/uHLaV35CymfXf+3bHpDe/o/d4XVpUfr2ZOW0BpX/QLF6ZPd0Oq3JyUlNTU1VtB0cHNTx48c1PT2tdDpd8Sx0v9+v4eFhZTIZFYtF+f3+ut2ZTdO0r+ZGo9GKZeXzecVisYplJxIJjY6O1lxetT8SXM3r9dZcxkYH3zNNc81rcrmc3X6z8yUpkUjY27X6yncjr13txIkTDe0fAAAAAFtjS0N3ebCvakzTtLtFl+91bWSeoy4tSBe+u367i0erTDvT2GsvLVw1oVRlWuMikYji8bji8bhSqVTVXgHpdFqWZdmhNRAIyOPxyLIs+yp1+TgZhlE3cEuVxyQSiWhiYqJifnnwvPL/c7lc3eXVeo84pdzbIhqNamxsTJZlKZFI2I+q2+x86UrX/3A4bP+BIx6PKxAINPTaskgkItM0q45QDwAAAGB76NzRwrbCvh7pwJvXb7f/SPVpjbx2X89VE1xVpjUuHA6rr6/PDt7VropalqVisSiv11sxvVgs2t3+N6JYLGpqakrT09NruqJLV65ut1O1wfeKxWLVIFs2PT2tUCikVCqlYDCocDisbDbbsvllgUBAgUBA0WjUvvrfyGuj0WjdP1oBAAAA2B4I3Rvx9gea6uYtaW1380btO9j8OnUlcPb39yuRSGh2draiC3+Zx+ORz+ezQ99q5RG0G1UsFtXX16dYLGb3Rrg6zG/UZruXl8cOKBaL9hX2mZmZhrrIl/n9fo2NjW16/uoaVlvdpXy9ZYdCIQ0NDXGFGwAAAOgAhO5dIBKJaGRkxB6s62rBYFDRaFSJRMIOcqlUyr4KK10Z8Gt0dFSWZWlqaqrmssoBfXh4WIZhKJFIbLr+zV7NNQxDwWBQIyMjmpycVD6fVyKR0KlTp+w25bqr3QcfjUYlVXabb3Z+Npu16/D5fPb+XB2q6y27HLiHh4crgjoDCQIAAADbE88P2gWCwaACgUDdK8blgezcbre8Xq+mp6ftIHfq1CnF43G53W7FYjE7UFfj8/kUCATskctzudyGu6c7YXJyUpLU19enUChkh96yq7vep9Npud1uud1uFYvFNb0Amp3v8/kUi8U0MjIit9utoaEhjY2NVVylr/XabDarVCqlSCRiz3e73RocHGztzgIAAADQMq7SlQeu7RoLCws6dOiQzp07p56eynulL168qLm5OfX19TX8oHNgu+N9DQAAgM3I5XIaufd+fXDwY7r5SJVBozfgjk/cqQPFeV0wevXUwyertvmR6wd13b6zWt53o/aGXtnU+pxUL1uuxpVuAAAAAAAcQugGAAAAAMAhDKQGAAAAAGiLP//4f5NrZUWlrtrXf//oO5/RF//8CU38Zky3tq80xxC6AQAAAABtsXToyLptLlz26NXX9uvyNb1tqMh5dC8HAAAAAMAhhO4qdtmA7tjheD8DAAAAW4fQvcq+ffskSa+//voWVwK0Tvn9XH5/AwAAAFvl6J+l1Hfq93T0z1I123zPoT9R8Puf18H5329jZc7hnu5V9uzZI8MwND8/L0m69tpr5XK5trgqoDmlUkmvv/665ufnZRiG9uzZs9UlAQAAYJe7/U8S9nO6X/ihYNU2Ps/v65+/96yWX/xtSb/S3gIdQOi+yk033SRJdvAGOp1hGPb7GgAAAEB7Ebqv4nK5dPPNN6u3t1eXLl3a6nKATdm3bx9XuAEAAIAtROiuYc+ePYQVAAAAAMCmMJAaAAAAAAAOIXQDAAAAAOAQQjcAAAAAAA4hdAMAAAAA4BBCNwAAAAAADmH0cgAAAABAW7zW+1Yt779eSz2Ha7Y5d+nNOrN4UTfe2rcjAutO2AYAAAAAQAf46scm123zpRc/qSdPParJzz0mbxtqchrdywEAAAAAcAihGwAAAAAAhxC6AQAAAABwCPd0AwAAAADa4p2fG9M154t643pDp+8dr9rmR276tH7gx59V77cfkLxfbHOFrUfoBgAAAAC0hefbGR0ozuuC0Vuzzc0HntVtPWe1vPDVNlbmHLqXAwAAAADgEEI3AAAAAAAOIXQDAAAAAOAQQjcAAAAAAA4hdAMAAAAA4BBCNwAAAAAADiF0AwAAAADgEEI3AAAAAAAO2bvVBQAAAAAAdocX/tm/0t4L57V84Pqabb5x7sdkfffPNHjX++VpY21OIXQDAAAAANriW3d9ZN02z+Q/oCf/4ox84Y/tiNBN93IAAAAAABxC6AYAAAAAwCGEbgAAAAAAHMI93QAAAACAtrjjE3fqQHFeF4xePfXwyaptPtB3r+67/6yWs++VvK+0ucLW40o3AAAAAAAOIXQDAAAAAOAQQjcAAAAAAA4hdAMAAAAA4BBCNwAAAAAADiF0AwAAAADgEEI3AAAAAAAOIXQDAAAAAOAQQjcAAAAAAA7Zu9UFAAAAAAB2h9P/+pPqWr6klb37arb58iu/pK98Lalf+Pgv6c1trM0phG4AAAAAQFvk/8nAum1evvB9mn3haV3s+cE2VOQ8upcDAAAAAOAQQjcAAAAAAA6hezkAAAAAoC08fzdj39Ndq6v5zQe+rv6jr2r/wl9J8ra3QAcQugEAAAAAbfHO3/0VHSjO64LRq6cePlm1zY/c9B/140fPavnbvyQd++k2V9h6dC8HAAAAAMAhhG4AAAAAABxC6AYAAAAAwCGEbgAAAAAAHELoBgAAAADAIYRuAAAAAAAcQugGAAAAAMAhhG4AAAAAABxC6AYAAAAAwCF7t7oAAAAAAMDu8NTDJ9dt8/m5z+nJU49q8nOPyduGmpy2paE7m81Kknw+nyzLUrFYlM/nkyRZlqVUKiXTNGVZlsLhsAzDWHceAAAAAADbxZaG7ng8rkQiIUkKBAJKJpP2vFAopEwmI+lKyB4ZGbHn15sHAAAAAMB2saWh2+/3q1AoSFLFlWrLsiramaapdDq97jwAAAAAALaTLb+nu1q38HQ6LY/HUzHN4/Eom81qdna25rxy13QAAAAAwPZz+5ce194L57V84Hp9666PVG1zzPN5Hfpn35T7xUcl72+1ucLW29LQXSwWlUqlJEkzMzOKRCIyTVPFYrFq+3w+X3deNUtLS1paWrK/X1hYkCStrKxoZWWl+eIBAAAAYBcolUpyuVySSiqptKllHf2LP9CB4rwuGL36u7siVdu87dCfyn/DWS3Pn9DKym9uan1OajRPbmnoXj0AmmmaGhoaUi6Xq9m+VuCuN298fFwPPfTQmulnzpzRxYsXN1IuAAAAAOw6i4uLurXvrbqmRyrtv7C5hblK9r81l/UPD7ZeKZX06vz85tbnoMXFxYbabWnotizL7hJeHoncsiwZhrHmynU+n5dhGHXnVTM2NqYHHnjA/n5hYUFHjx7VkSNH1NPT09oNAgAAAIAd5vz583pu7nm9p09ydR/Y3MJKLvtf18Uay9oraY/U5XKpt7d3c+tz0P79+xtqt2WhO5vNanBw0B5Irczj8SgQCCgej695TX9/v0zTrDmvmu7ubnV3d6+Z3tXVpa6uriarBwAAAIDdweVyqVQqSXLJJVfrltvAsrZzZmu0ti0L3aZpKhaL2d+n02kFg0H7avZqlmWpv79/3XkAAAAAAGwnWxa6DcNQf3+/JiYmZBiGcrlcxbO2k8mkotGoBgYGNDMz0/A8AAAAAAC2iy29p9vn89V8zNfqK+HBYLDheQAAAAAAbBfbt4M8AAAAAAAdjtANAAAAAIBDtrR7OQAAAABg98jf5tc154t643qjZpuXL7xDhZef1duOvVsH21eaYwjdAAAAAIC2OH3v+LptvvzKL+vJU49qMvSZHRG66V4OAAAAAIBDCN0AAAAAADiE0A0AAAAAgEO4pxsAAAAA0BbvfnRE3QtntdRzWF/92GTVNnfd8isKHM/pxr/9Gcn7l22usPUI3QAAAACAtrhu/nkdKM5r78XzNdsc2vddXXfta1q+MNfGypxD93IAAAAAABxC6AYAAAAAwCGEbgAAAAAAHELoBgAAAADAIYRuAAAAAAAcQugGAAAAAMAhhG4AAAAAABxC6AYAAAAAwCF7t7oAAAAAAMDu8K33hbV36YKWuw/UbJPN/5S+/u1pBX/mX6u3jbU5hdANAAAAAGiLF34ouG6bb557n1L/5+/0Y70/tSNCN93LAQAAAABwCKEbAAAAAACH0L0cAAAAANAW3efOyLWyolJXl5YOHana5sCevG647qL2vDEvydveAh1A6AYAAAAAtMV7f+OndaA4rwtGr556+GTVNu9/ywP6ae9ZLT97t/T2V9pcYevRvRwAAAAAAIcQugEAAAAAcAihGwAAAAAAhxC6AQAAAABwCKEbAAAAAACHELoBAAAAAHAIoRsAAAAAAIcQugEAAAAAcAihGwAAAAAAh+zd6gIAAAAAALvDV38+IdfKskpdtaPol158WP/zq7+rX/vUQ3pLG2tzCqEbAAAAANAWr91467ptzl26Rc8VrtelA6bzBbUB3csBAAAAAHAIoRsAAAAAAIcQugEAAAAAbfGmmS/p6F/8gd4086WabbwHv6y73v6irn/1j9tYmXO4pxsAAAAA0BZv++J/0oHivC4YvXpp4K6qbd51w+f0ozef1fJ3YtK7/22bK2w9rnQDAAAAAOAQQjcAAAAAAA4hdAMAAAAA4BBCNwAAAAAADiF0AwAAAADgEEI3AAAAAAAOIXQDAAAAAOAQQjcAAAAAAA7Zu9UFAAAAAAB2h6WDN1T8W83rl916fem8Dt54ZEcE1p2wDQAAAACADvDn0SfXbfPF7/ymnjz1qCY/95i8bajJaXQvBwAAAADAIYRuAAAAAAAcQugGAAAAAMAh3NMNAAAAAGiLd3z+13XN6+f0xrWH9OwHfrVqm/f2/mfdfufXdMPcJyTv59tcYesRugEAAAAAbdH7N/9bB4rzumD01mzzlutm9XbjrJYLT7exMufQvRwAAAAAAIcQugEAAAAAcAihGwAAAAAAhxC6AQAAAABwCKEbAAAAAACHELoBAAAAAHAIoRsAAAAAAIcQugEAAAAAcMjerS4AAAAAALA7vOR/n/a9vqhL1x6s2Sa3+C/0wt9/Ve+94y4Z7SvNMYRuAAAAAEBbfOPuB9Zt89ev/qye/PJ5ve3eB3dE6G6qe/lTTz2l06dP299/+tOf1sDAgH7qp35KCwsLraoNAAAAAICO1lTojkajyufzkqQvfOELikajCofDWllZ0fDwcEsLBAAAAACgUzXVvTybzeqOO+6QJMXjcQWDQY2MjCgUCunw4cMtLRAAAAAAgE7VVOg+dOiQFhcXdfDgQaXTaSUSCUmSy+XSoUOHWlogAAAAAGBn+OFff7+6z53R0qEj+sqv/lHVNsFbP6IPfPgV7fvanZI3194CHdBU6B4ZGdGxY8dUKBRkmqbuu+8+SVIikVB/f39ThUSjUY2NjckwDEmSZVlKpVIyTVOWZSkcDjc0DwAAAACwPe1Zel37Lr6m5f3X1Wyzz3VR1+27rOXLr7WxMuc0FbpjsZjuvPNOFYtFBQIBe7ppmorFYhteXjab1cTEhMbGxuxpoVBImUxG0pWQPTIyomQyue48AAAAAAC2i6ZC98LCggYHB9dM9/l8crlcG16eZVkyTbPi+9VM01Q6nV53HgAAAAAA20lTo5e73e6q0y3LUiQS2dCyUqmUgsFgxbR0Oi2Px1MxzePxKJvN1p0HAAAAAMB20tSV7lKpVHV6f3+/ZmdnG15OsVisei92sVis2j6fz9edV83S0pKWlpbs78vPEV9ZWdHKykrDtQIAAADAblQqlf6hR3NJJVXPgk0tt4FlbefM1mhtGwrdt912m1wul1wul26//fY18y3Lks/na3h5U1NTCofDDbevFbjrzRsfH9dDDz20ZvqZM2d08eLFhtcNAAAAALvR4uKibu17q67pkUr7L2xuYa6S/W/NZf1Df+yVUkmvzs9vbn0OWlxcbKjdhkJ3PB5XqVTSnXfeqUceeWTNfNM0dezYsYaWlU6nNTw8XHWeYRhrrlzn83kZhlF3XjVjY2N64IEH7O8XFhZ09OhRHTlyRD09PQ3VCgAAAAC71fnz5/Xc3PN6T5/k6j6wuYWVXPa/ros1lrVX0h6py+VSb2/v5tbnoP379zfUbkOhuzx4WjAY1D333LPxqq4yNTVl/9+yLI2Pj+v48eMKBAKKx+Nr2vf398s0zZrzqunu7lZ3d/ea6V1dXerqauqWdgAAAADYNVwu1z/cYuySSxsfOLvmchtY1nbObI3W1tQ93avDcrNWP2pMkiKRiCKRSMUo5mWWZam/v9++0l1rHgAAAAAA20lTofupp55SJBJZ8/iu8g32ly9fbnhZxWJRiURC0pXnf0ciEfl8PiWTSUWjUQ0MDGhmZqbiOdz15gEAAAAAtqdnj39CXZcuamVf7a7Zfzb/Uf3Vs19U+Od/Tje3sTanuEq1hiKv47bbbpPP51MkElnz+C5JDd/XvRUWFhZ06NAhnTt3jnu6AQAAAGAduVxOI/ferw8Ofkw3Hznq+PpePvOCnjz1qCY/95i8Xq/j62tWo9myqSvd+XxeTzzxBKEVAAAAAIA6mrorfXh4WJlMptW1AAAAAACwozR1pdvr9SoQCMjn81UdxGx8fLwVtQEAAAAAdpCe7/xfdS1f0srefVp4y/dWbXO4+9v63huLuua1ZyVt3+7ljWoqdM/MzNiPD8vlchXzXK7WDSEPAAAAANg5+hO/qAPFeV0wevXUwyertrnzTQ/r7ree1fI3I9L3/2SbK2y9LXtkGAAAAAAAO13TTxo/ffq0HnzwQb3vfe+zp33605/W6dOnW1EXAAAAAAAdr6nQPTk5qcHBQXm9Xs3MzNjT+/r6FI1GW1YcAAAAAACdrKnQPTExoUwmo5GRkYrp99xzj2ZnZ1tSGAAAAAAAna6p0H327FkdPnx4zfS5uTmVSqVNFwUAAAAAwE7QVOgOhUIKhUJaWFiwpy0sLCgSiSgcDresOAAAAAAAOllToTsej+vgwYMyDEOFQkEDAwNyu93yer165JFHWl0jAAAAAAAdqalHhklSMpmUZVl65plnJEk+n099fX0tKwwAAAAAgE7XdOiWJNM0ZZpmq2oBAAAAAGBHaTp0P/HEE8rlcioWi2vmPfbYY5upCQAAAACwA33lE38oV6mkkstVs03qud9R8iuP69HHf1M74RJvU6F7eHhYqVRKPp+PK90AAAAAgIZc3n/dum0ula7V65f2qrTn+jZU5LymQncqlVImk9GxY8daXQ8AAAAAADtGU6OXm6ap2267rdW1AAAAAACwozT9yLD77rtPTz/9dMWzugEAAAAAqKXv1O/p9v/xmPpO/V7NNu8w/kj/pj+nQy9/to2VOafpgdSmp6eVSqWqzrt8+XLTBQEAAAAAdqa+p39PB4rzumD0am7wQ1XbfJ/7j/SDvWe1/PJ/lfSp9hbogKZCdyQSUSAQUCQSkcfjaXVNAAAAAADsCE2F7nw+ryeeeEI9PT2trgcAAAAAgB2jqXu6h4eHlclkWl0LAAAAAAA7SlNXur1erwKBgHw+n/r7+2UYRsX88fHxVtQGAAAAAEBHayp0z8zMaHBwUJKUy+Uq5rlcrs1XBQAAAADADtBU6J6ammp1HQAAAAAA7DhN3dM9MDBQd/4TTzyh+++/X08//XRTRQEAAAAAsBM0FboLhYIk6bnnntPCwkLFvOHhYUWjUZVKJQWDQf3hH/7h5qsEAAAAAKADNRW6g8Ggbr/9dpmmKcMwNDAwoMXFRUlSKpXSqVOn9Pjjjysej+tTn+r8h5kDAAAAADZv4Za3q3Dr92vhlrfXbPPqkld/88ohLV33T9tYmXOaCt2nTp3S6OioVlZWtLKyolAopGAwqLm5OblcLr3zne+UdCWcW5bVynoBAAAAAB1q9iO/pb/45d/V7Ed+q2ab6Zd+VT//h+/SK9+TaGNlzmkqdOdyOY2MjNjfj46OrhnFXJLOnTvXfGUAAAAAAHS4pkJ3IBDQ/fffr9OnT+v06dM6fvy4/H6/nnnmGUmyu5qfOnVKfr+/ddUCAAAAANBBmgrdk5OTWllZ0R133KE77rhDpVJJhUJBo6OjGhwc1K233qrjx49rZGREDz74YKtrBgAAAACgIzT1nO5Dhw4pHo8rHo9XnZ9KpTQ7O6t0Oq1jx45tqkAAAAAAwM7Q//gv6JrzBb1xvbvmfd1Db/p1vefub+qmb4Yl76k2V9h6TYVuSTp9+rROnDihZ555Rn/yJ38iSfr0pz+tQCCgYDCoYDDYsiIBAAAAAJ2v58W/1YHivC4YvTXb3NCd01uvP6fl1/6mjZU5p+nu5YODgzJNUzMzM/b0vr4+RaPRlhUHAAAAAEAnayp0T0xMKJPJVIxgLkn33HOPZmdnW1IYAAAAAACdrqnQffbsWR0+fHjN9Lm5OZVKpU0XBQAAAADATtBU6A6FQgqFQlpYWLCnLSwsKBKJKBwOt6w4AAAAAAA6WVOhOx6P6+DBgzIMQ4VCQQMDA3K73fJ6vXrkkUdaXSMAAAAAAB2p6dHLk8mkLMvSM888I0ny+Xzq6+trWWEAAAAAAHS6pkO3JJmmKdM0tbCwoJ6enlbVBAAAAADAjtBQ9/LnnntOTzzxxJrpf/AHf6Dbb79dbrdbhw8f1mc/+9mWFwgAAAAAQKdq6Er36OioDh8+rPvuu8+e9swzzygYDCoYDGpqakq5XE7hcFgej0d33323YwUDAAAAADrT3I9+SHsvntfy/utrtvl64f365vNP68fvOa4b2libUxoK3dlsVolEomLa+Pi4vF6vpqamJEnHjh2TJH3qU58idAMAAAAA1pgb/NC6bZ4tvl9Pzn5HP/RzH94Robuh7uWWZck0zYppqVRKwWCwYprf71c2m21ddQAAAAAAdLCGQrfP57NHKZekU6dOSZKOHz9e0c6yLBmG0brqAAAAAADoYA11Lw+Hw/b93IcOHVIkEpHf79c73/nOinbT09MKBAItLxIAAAAA0Pn2XHxNrlJJJZdLl/dfV7XNPtfrunbfslyXz7e5Omc0HLqLxaLuueceSVIgEFAymaxoMzc3p4mJCaXT6dZXCQAAAADoeD/88N06UJzXBaNXTz18smqb4K0f1b+5/ayWv/Zj0j95pc0Vtl5D3culKyOYr6ysaGVlRSdPntShQ4cq5vf19SmTyeiOO+5oeZEAAAAAAHSihkN3I8ojmAMAAAAAgBaHbgAAAAAA8I8I3QAAAAAAOITQDQAAAACAQwjdAAAAAAA4pKHQPTY2poWFBadrAQAAAABgR2kodE9MTKinp8f+/v7773esIAAAAAAAdoqGQndfX5++9rWv2d8nEgnHCgIAAAAAYKfY20ijxx9/XD/6oz+qw4cP29Nuv/32mu2/9a1vbb4yAAAAAMCOMhv+T+pavqSVvftqtjn50id0KvOkov/+V3S0jbU5paHQHQgENDc3p3Q6rVKppOHhYT3yyCNO1wYAAAAA2EEW3vK967Y5u3Sb/u/fG3rjune0oSLnNRS6JenQoUO65557JEmjo6P2/wEAAAAAQHUNh+7Vyle5n3rqKU1PT0uS3vWud+nuu+9uXWUAAAAAAHS4pp/TfeeddyoYDCqTySiTyejDH/6w3vWud7WyNgAAAADADtL79f+lm7In1fv1/1WzzdHr/lo/bP69ri081cbKnNPUle77779fhmEon89XTA+FQvroRz+q3/md32lJcQAAAACAneMdJx7WgeK8Lhi9eur7TlZt80O9v6Mf+7GzWp77Val/pM0Vtl5ToXtqakpzc3Nrpk9OTsrr9RK6AQAAAABQk93L3W63CoXCmumFQkGlUmnTRQEAAAAAsBM0FbrvuecehcNhLS4u2tMWFhY0PDysSCTSsuIAAAAAAOhkTYXuWCymnp4eGYah22+/Xbfffrvcbrc8Ho/Gx8dbXSMAAAAAAB2pqXu6JSmZTCqbzSqTyahYLCoQCOjYsWMbWkY6nZYkFYtFzczM6Pjx4/L5fJIky7KUSqVkmqYsy1I4HJZhGOvOAwAAAABgu2g6dEuSz+ezQ3IzQqGQTp06pUAgoHw+r1AopFwuZ8/LZDKSroTskZERJZPJdecBAAAAALBdNP2c7lZIJpMVoX31lezVTNO0r4rXmwcAAAAAwHaypaE7EAjY/08mk/YgbOl0Wh6Pp6Ktx+NRNputOw8AAAAAgO1kU93LWyGbzerEiRMaGhpSOByWdOUe72ry+XzdedUsLS1paWnJ/n5hYUGStLKyopWVleYLBwAAAIBdoFQqyeVySSqppM09Ivpy97W6tP86Xe6+tuayLpX267U39mjf/uu2dWZrtLYtD90+n0+maSoajSqVSikYDNZsWytw15s3Pj6uhx56aM30M2fO6OLFixstFwAAAAB2lcXFRd3a91Zd0yOV9l/Y1LKe/uSTq76rvqw/zj+mr3ztv+vnfvF+3Tw/v6n1OWn1I7TraSp0P/XUU7rjjjuaeWlVhmEoFAppaGhIhUJBhmGsuXKdz+dlGEbdedWMjY3pgQcesL9fWFjQ0aNHdeTIEfX09LRsGwAAAABgJzp//ryem3te7+mTXN0HHF/fGwvSc3PP6+DBg+rt7XV8fc3av39/Q+2aCt3hcFi/8Ru/obvvvruZl0u6ct92KBRSoVCQdGVANOnKQGmBQEDxeHzNa/r7+2WaZs151XR3d6u7u3vN9K6uLnV1bekt7QAAAACw7blcLpVKJUkuueRqxxrtLu3bObM1WltTWzA6OqrR0dGGL6dX4/F4KgZSy2azMgzD7m6+mmVZ6u/vl2EYdecBAAAAALCdNHWl2+Vy6dChQ7r11lsVCATWBOHx8fF1l+Hz+XT8+HElEglJ0vT0tP3sbenKaObRaFQDAwOamZmpeA53vXkAAAAAgO3pbX/4Ge17fVGXrj2ob9z9QNU277rhv+rmH/kbHf7OI5J3ss0Vtp6rdKWfwIYMDw/XHLjM5XLpT//0Tzdbl2MWFhZ06NAhnTt3jnu6AQAAAGAduVxOI/ferw8Ofkw3Hzm6qWXd8Yk7daA4rwtGr556+GTVNj9y/aCu23dWy/tu1N7QK5tan5MazZZNXememppqujAAAAAAAHaLpu9KP336tB588EG9733vs6d9+tOf1unTp1tRFwAAAAAAHa+p0D05OanBwUF5vV7NzMzY0/v6+hSNRltWHAAAAAAAnayp0D0xMaFMJqORkZGK6ffcc49mZ2dbUhgAAAAAAJ2uqdB99uxZHT58eM30ubk5NTEuGwAAAAAAO1JToTsUCikUCmlhYcGetrCwoEgkonA43LLiAAAAAADoZE2F7ng8roMHD8owDBUKBQ0MDMjtdsvr9eqRRx5pdY0AAAAAAHSkph4ZJknJZFKWZemZZ56RJPl8PvX19bWsMAAAAAAAOl3ToVuSTNOUaZqtqgUAAAAAsIPN/9N/rmteP6c3rj1Us813XuvX/Nln9M73/Khqt+ocTYfu5557TvF4XJZlSZLe9a53aWRkRD09PS0rDgAAAACwczz7gV9dt82fz/+cnjz1qCY/+PCOCN1N3dP9hS98QaZpKplMyu12y+1267HHHpPb7dbXvva1VtcIAAAAAEBHaupKdzQa1ejo6JpB0yKRiO677z7NzMy0pDgAAAAAADpZU6E7n8/r3/27f7dmeiwWk8fj2XRRAAAAAADsBE2F7uHhYc3NzekHfuAHKqY/99xzCgaDLSkMAAAAALCzvDf2QXUvvqqlgzfoz6NPVm3zk2/5t/rJD72gg8++X/J+vb0FOqCh0D02NrZm2h133KFwOFwxLZFIaHh4uDWVAQAAAAB2lO7FV3WgOF+3zbV7Crpu/5KW3zjTpqqc1VDozmQya6b5/f410/1+f2uqAgAAAABgB2godJ88edLpOgAAAAAA2HGaemQYAAAAAABYX1MDqUnSE088oVwup2KxuGbeY489tpmaAAAAAADYEZoevTyVSsnn88k0zVbXBAAAAADAjtBU6E6lUspkMjp27Fir6wEAAAAAYMdo6p5u0zR12223tboWAAAAAAB2lKZCdzwe13333aenn35aCwsLra4JAAAAAIAdoemB1Kanp5VKparOu3z5ctMFAQAAAAB2pm/85C9qz6WLurxvf802f/3qvcp880v60IdHdGMba3NKU6E7EokoEAgoEonI4/G0uiYAAAAAwA700sBd67bJLf6IvvS3/0d33/ATuzd05/N5PfHEE+rp6Wl1PQAAAAAA7BhN3dM9PDysTCbT6loAAAAAANhRmrrS7fV6FQgE5PP51N/fL8MwKuaPj4+3ojYAAAAAwA5y3d8/J9fKskpde/XajbdWbXNo34u61X1e+y5Ykrxtrc8JTYXumZkZDQ4OSpJyuVzFPJfLtfmqAAAAAAA7zrt/O6wDxXldMHr11MMnq7a565ZPKNR3Vst/+yHpHa+0ucLWayp0T01NtboOAAAAAAB2nKbu6QYAAAAAAOtrKnR3dXVpz549Vb9uv/32VtcIAAAAAEBHaqp7ebWRy8+ePasHH3xQH/nIRzZdFAAAAAAAO0FTofvYsWNVp09NTen+++/Xfffdt6miAAAAAADYCVp6T7dpmpqdnW3lIgEAAAAA6FhNXekeGxurOj2bzW6qGAAAAAAAdpKW3dMtXbnS/cgjj2yqIAAAAAAAdoqmQvfJk9UfYg4AAAAAAP5RU6EbAAAAAICN+vOP/ze5VlZU6qo9vNgffecz+uKfP6GJ34zp1vaV5piGQvdtt90ml8vV0AJdLpf+7u/+blNFAQAAAAB2nqVDR9Ztc+GyR6++tl+Xr+ltQ0XOayh0R6PRddsUi0XF43FZlrXpogAAAAAA2AkaCt0jIyM15y0sLOhTn/qUJiYmZBiGHn/88ZYVBwAAAABAJ2v6Od3PPfec7r//frndbn3hC19QMplUPp+vG9ABAAAAALvX0T9Lqe/U7+non6VqtvmeQ3+i4Pc/r4Pzv9/Gypyz4YHUTp8+rfHxcSWTSfl8Pp08eVKDg4NO1AYAAAAA2EFu/5OEDhTndcHo1Qs/FKzaxuf5ff3z957V8ou/LelX2lugAxq+0n369Gndeeed8vl8KhQKymQymp2dJXADAAAAAFBDQ1e6BwYGlM1mFQwGZVmWbr31VofLAgAAAACg8zUUujOZjAzDkGVZCoVC67afmZnZdGEAAAAAAHS6hkJ3LBZzug4AAAAAAHachkL3xz/+cafrAAAAAABgx2n6kWEAAAAAAKA+QjcAAAAAAA4hdAMAAAAA4JCG7ukGAAAAAGCzXut9q5b3X6+lnsM125y79GadWbyoG2/t2xGBdSdsAwAAAACgA3z1Y5PrtvnSi5/Uk6ce1eTnHpO3DTU5je7lAAAAAAA4hNANAAAAAIBDCN0AAAAAADiEe7oBAAAAAG3xzs+N6ZrzRb1xvaHT945XbfMjN31aP/Djz6r32w9I3i+2ucLWI3QDAAAAANrC8+2MDhTndcHordnm5gPP6raes1pe+GobK3MO3csBAAAAAHAIoRsAAAAAAIcQugEAAAAAcAihGwAAAAAAhxC6AQAAAABwCKEbAAAAAACHELoBAAAAAHAIoRsAAAAAAIfs3cqVZ7NZpdNpSdLMzIwmJydlGIYkybIspVIpmaYpy7IUDocbmgcAAAAA2J5e+Gf/SnsvnNfygetrtvnGuR+T9d0/0+Bd75enjbU5ZUtDdzqd1ujoqCRpYmJCg4ODymQykqRQKGT/37IsjYyMKJlMrjsPAAAAALA9feuuj6zb5pn8B/TkX5yRL/yxHRG6t6x7eTab1fj4uP19MBhUNpuVZVmyLKuirWma9hXxevMAAAAAANhOtix0+3w+TU5O2t8Xi0VJksfjUTqdlsdT+TcNj8djd0evNQ8AAAAAgO1kS7uXB4NB+/8nTpxQIBCQYRh2AL9aPp+vO6+apaUlLS0t2d8vLCxIklZWVrSystJc4QAAAACwS5RKJblcLkkllVRqxxrlcrlUKpW2dWZrtLYtDd1lxWJRqVTKvk+7XruNzhsfH9dDDz20ZvqZM2d08eLFjZQJAAAAALvO4uKibu17q67pkUr7L2xqWYGP/6QOFM7ogvuI0r/xxaptPuD9/3TfPzmrN7Lv1fz1X9vU+py0uLjYULttEbqj0aimp6ftEcgNw1hz5Tqfz8swjLrzqhkbG9MDDzxgf7+wsKCjR4/qyJEj6unpael2AAAAAMBOc/78eT0397ze0ye5ug9sbmEll/2v62KNZe2VtEfqcrnU29u7ufU5aP/+/Q212/LQPTExoWg0KtM07avVgUBA8Xh8Tdv+/n6ZpllzXjXd3d3q7u5eM72rq0tdXTymHAAAAADqKXf1llxyydW65TawrO2c2RqtbUu3IJVKyefz2YF7ampKhmHINM2KdpZlqb+/f915AAAAAABsJ1t2pduyLIVCoYpphmEoHA5LkpLJpKLRqAYGBjQzM1PxHO568wAAAAAA2C62LHSbpvkPXRRqz4/FYpIqRzlfbx4AAAAAANvF9u0gDwAAAABAhyN0AwAAAADgEEI3AAAAAAAOIXQDAAAAAOCQLX9ONwAAAABgdzj9rz+pruVLWtm7r2abL7/yS/rK15L6hY//kt7cxtqcQugGAAAAALRF/p8MrNvm5Qvfp9kXntbFnh9sQ0XOo3s5AAAAAAAOIXQDAAAAAOAQupcDAAAAANrC83cz9j3dtbqa33zg6+o/+qr2L/yVJG97C3QAoRsAAAAA0Bbv/N1f0YHivC4YvXrq4ZNV2/zITf9RP370rJa//UvSsZ9uc4WtR/dyAAAAAAAcQugGAAAAAMAhhG4AAAAAABxC6AYAAAAAwCGEbgAAAAAAHELoBgAAAADAIYRuAAAAAAAcQugGAAAAAMAhhG4AAAAAAByyd6sLAAAAAADsDk89fHLdNp+f+5yePPWoJj/3mLxtqMlpXOkGAAAAAMAhhG4AAAAAABxC6AYAAAAAwCHc0w0AAAAAaIvbv/S49l44r+UD1+tbd32kaptjns/r0D/7ptwvPip5f6vNFbYeoRsAAAAA0BZH/+IPdKA4rwtGb83Q/bZDfyr/DWe1PH9CUueHbrqXAwAAAADgEEI3AAAAAAAOIXQDAAAAAOAQQjcAAAAAAA4hdAMAAAAA4BBCNwAAAAAADiF0AwAAAADgEEI3AAAAAAAO2bvVBQAAAAAAdof8bX5dc76oN643arZ5+cI7VHj5Wb3t2Lt1sH2lOYbQDQAAAABoi9P3jq/b5suv/LKePPWoJkOf2RGhm+7lAAAAAAA4hNANAAAAAIBDCN0AAAAAADiEe7oBAAAAAG3x7kdH1L1wVks9h/XVj01WbXPXLb+iwPGcbvzbn5G8f9nmCluP0A0AAAAAaIvr5p/XgeK89l48X7PNoX3f1XXXvqblC3NtrMw5dC8HAAAAAMAhhG4AAAAAABxC6AYAAAAAwCGEbgAAAAAAHELoBgAAAADAIYRuAAAAAAAcQugGAAAAAMAhhG4AAAAAAByyd6sLAAAAAADsDt96X1h7ly5ouftAzTbZ/E/p69+eVvBn/rV621ibUwjdAAAAAIC2eOGHguu2+ea59yn1f/5OP9b7UzsidNO9HAAAAAAAhxC6AQAAAABwCN3LAQAAAABt0X3ujFwrKyp1dWnp0JGqbQ7syeuG6y5qzxvzkrztLdABhG4AAAAAQFu89zd+WgeK87pg9Oqph09WbfP+tzygn/ae1fKzd0tvf6XNFbYe3csBAAAAAHAIoRsAAAAAAIcQugEAAAAAcAihGwAAAAAAhxC6AQAAAABwCKEbAAAAAACHELoBAAAAAHAIoRsAAAAAAIcQugEAAAAAcMjerS4AAAAAALA7fPXnE3KtLKvUVTuKfunFh/U/v/q7+rVPPaS3tLE2pxC6AQAAAABt8dqNt67b5tylW/Rc4XpdOmA6X1Ab0L0cAAAAAACHELoBAAAAAHDIlnYvz2azGhkZUSaTqZhuWZZSqZRM05RlWQqHwzIMY915AAAAAIDt600zX9KeSxd1ed9+vTRwV9U23oNf1l1vf1HXv/rHkvfftrnC1tuy0F0Oztlsds28UChkB3HLsjQyMqJkMrnuPAAAAADA9vW2L/4nHSjO64LRWzN0v+uGz+lHbz6r5e/EpHcTupsWDAarTrcsq+J70zSVTqfXnQcAAAAAwHaz7e7pTqfT8ng8FdM8Ho+y2WzdeQAAAAAAbDfbLnQXi8Wq0/P5fN15AAAAAABsNx3znO5agXu9eUtLS1paWrK/X1hYkCStrKxoZWWlVeUBAAAAwI5UKpXkcrkklVRSqXXLbWBZ2zmzNVrbtgvdhmGsuXKdz+dlGEbdebWMj4/roYceWjP9zJkzunjxYktqBgAAAICdanFxUbf2vVXX9Eil/Rc2tzBXyf635rL+oT/2SqmkV+fnN7c+By0uLjbUbtuF7kAgoHg8vmZ6f3+/TNOsOa+WsbExPfDAA/b3CwsLOnr0qI4cOaKenp7WFA0AAAAAO9T58+f13Nzzek+f5Oo+sLmFlVz2v66LNZa1V9IeqcvlUm9v7+bW56D9+/c31G5bhO5isWhfrTZNs2KeZVnq7++3r3TXmldLd3e3uru710zv6upSV9e2u6UdAAAAALYVl8ulUqkkySWXXK1bbgPL2s6ZrdHatix0p9NpTU9PS7rSBXxgYMB+jFgymVQ0GtXAwIBmZmYqnsNdbx4AAAAAANuJq3TlTxa7xsLCgg4dOqRz587RvRwAAAAA1pHL5TRy7/364ODHdPORo5ta1ntjH1T34qtaOniD/jz6ZNU27zoQlJZf0MEbb9f+n/z6ptbnpEaz5bboXg4AAAAA2PlqBe3Vvvid39STpx7V5Ocek7cNNTlt+3aQBwAAAACgwxG6AQAAAABwCKEbAAAAAACHcE83AAAAAKAt3vH5X9c1r5/TG9ce0rMf+NWqbd7b+591+51f0w1zn5C8n29zha1H6AYAAAAAtEXv3/xvHSjO64LRW7PNW66b1duNs1ouPN3GypxD93IAAAAAABxC6AYAAAAAwCGEbgAAAAAAHELoBgAAAADAIYRuAAAAAAAcQugGAAAAAMAhhG4AAAAAABxC6AYAAAAAwCF7t7oAAAAAAMDu8JL/fdr3+qIuXXuwZpvc4r/QC3//Vb33jrtktK80xxC6AQAAAABt8Y27H1i3zV+/+rN68svn9bZ7H9wRoZvu5QAAAAAAOITQDQAAAACAQwjdAAAAAAA4hHu6AQAAAABt8cO//n51nzujpUNH9JVf/aOqbYK3fkQf+PAr2ve1OyVvrr0FOoAr3QAAAACAttiz9Lr2XXxNe5Zer9lmn+uirrvmsrouv9bGypxD6AYAAAAAwCGEbgAAAAAAHELoBgAAAADAIYRuAAAAAAAcQugGAAAAAMAhhG4AAAAAABxC6AYAAAAAwCGEbgAAAAAAHLJ3qwsAAAAAAOwOzx7/hLouXdTKvv012/zZ/Ef1V89+UeGf/znd3MbanELoBgAAAAC0xfz3/Yt127zw2rv0Feuv9DPuO9pQkfPoXg4AAAAAgEMI3QAAAAAAOITu5QAAAACAtuj5zv9V1/Ilrezdp4W3fG/VNoe7v63vvbGoa157VpK3vQU6gNANAAAAAGiL/sQv6kBxXheMXj318Mmqbe5808O6+61ntfzNiPT9P9nmCluP7uUAAAAAADiE0A0AAAAAgEMI3QAAAAAAOITQDQAAAACAQwjdAAAAAAA4hNANAAAAAIBDCN0AAAAAADiE0A0AAAAAgEMI3QAAAAAAOGTvVhcAAAAAANgdvvKJP5SrVFLJ5arZJvXc7yj5lcf16OO/KbONtTmF0A0AAAAAaIvL+69bt82l0rV6/dJelfZc34aKnEf3cgAAAAAAHELoBgAAAADAIXQvBwAAAAC0Rd+p39Pei+e1vP96zQ1+qGqbdxh/pH/Tn9Ohlz8reT/V5gpbj9ANAAAAAGiLvqd/TweK87pg9NYM3d/n/iP9YO9ZLb/8XyV1fuimezkAAAAAAA4hdAMAAAAA4BBCNwAAAAAADiF0AwAAAADgEEI3AAAAAAAOIXQDAAAAAOAQQjcAAAAAAA4hdAMAAAAA4JC9W10AAAAAAGB3WLjl7bpo3KQ3rnfXbPPqklfPnV3WrW/7pzsisO6EbQAAAAAAdIDZj/zWum2mX/pVPXnqUU1+7jF521CT0+heDgAAAACAQwjdAAAAAAA4hNANAAAAAIBDuKcbAAAAADrQmTNntLCw4Ph6nn/+eV1aXm7Jsvof/wVdc76gN65317y/e+hNv6733P1N3fTNsOQ91ZL1biVCNwAAAAB0mDNnzujD947o/MLrjq/rwoXX9dJLr+iNS5c2vayeF/9WB4rzumD01mxzQ3dOb73+nJZf+5tNr287IHQDAAAAQIdZWFjQ+YXXNeQb1hH3TY6u6xtz/0cnXnhCy5dbc7V7tyF0AwAAAECHOuK+STcfOeroOubzLzu6/J2uI0O3ZVlKpVIyTVOWZSkcDsswjK0uCwAAAACACh0ZukOhkDKZjKQrAXxkZETJZHKLqwIAAAAAoFLHPTLMsqyK703TVDqd3qJqAAAAAACoreOudKfTaXk8noppHo9H2WxWPp9vi6oCAFTTrkeZlPX09OjIkSNtWx8AtBqfm52tncevlY/xgrM6LnQXi8Wq0/P5fHsLaYN2nrR84GI7a+e58MYbb+iaa65py7qk9p977dyXZ8+e1b//lV/TGxfb9wvBvu49+vVPPaTDhw+3ZX18dgJopXY+Aqrs+p5r9dnPTfJZ1gLtPn6tfIwXnNVxobuWWmF8aWlJS0tL9vfnzp2z26+srLSjtKacPXtWP//RX9Brixfasr5r9u/R2CcelNvtbsv6gEYVCgWNfzKmNy44H9zeuPSGvvvdF3XLLW/Rvr3t+Xhs57nXzn0pSRcuvq6/f2Ved/3z4/IYNzi+vvlXX9L/+N9T+thHH1D3Nd2Or0/isxNAa73wwgs6e6Yg320/rJ6DhuPrW1gsKvOtL+sv//IvdfSos6Nf7wbtPn4vvmzpxRe+pO+8ktPllTccXdfLr74gSXrpzPNyuTaXoXzLl3RJ0mvLl2S9+I2qbX7gLcu6vE9a3reirho5bzsoX8golUp127lK67XYZhKJhOLxuD2QmiS53W4lk0kFAoE17X/t135NDz30UDtLBAAAAADsEi+88IJuueWWmvM7LnRbllUxerl0JXTPzc1VfWzY1Ve6V1ZWlM/ndfjwYblcrnaUjBZaWFjQ0aNH9cILL6inp2ery0Gbcfx3L4797sbx37049rsbx3/36pRjXyqVtLi4qDe96U3q6qo9RnnHdS83TbPie8uy1N/fX/M53d3d3eruruxmyDO9O19PT8+2PgHhLI7/7sWx3904/rsXx3534/jvXp1w7A8dOrRum44L3ZKUTCYVjUY1MDCgmZkZntENAAAAANiWOjJ0m6apWCwmSQoGg1tcDQAAAAAA1dXueA5sQ93d3foP/+E/rLllALsDx3/34tjvbhz/3Ytjv7tx/HevnXbsO24gNQAAAAAAOgVXugEAAAAAcAihGwAAAAAAh3TkQGrY+SzLUiqVkmmasixL4XC45qPestmsJMnn88myLBWLRfl8vg0vB9vHRo9/Op2WJM3MzGhyctJuW++9ge1hI8e6XlvO9c7Deb678XN+99rIMUulUgoEApLWPvKXc78zZbNZjYyMKJPJ1G23437ml4BtyOfz2f/P5XKlYDBYs204HC5JKkkqBQKBUqFQaGo52D42ctxisVjF/1e/tt57A9vDRo51vbac652H83x34+f87rWRY1Y+7qu/yp8HnPudJ5lMljKZTKmRCLrTfubTvRzbjmVZFd+bpmlf4ajG7/erUCioUChoenq64q9gG1kOtoeNHLdsNqvx8XH7+2AwqGw2ay+j1nsD28NGjnW9tpzrnYfzfHfj5/zutZFjViwWlUwmVSqV7K9YLKbR0VFJnPudKBgMNtQbYSf+zCd0Y9tJp9PyeDwV0zwej92NqBrDMNZ82DazHGy9jRw3n8+nyclJ+/tisWi3L6v23sD2sJFjXa8t53rn4Tzf3fg5v3tt9JgFg0H7/6lUquJ7iXN/p9qJP/O5pxvbTvkXqqvl8/ma7VOplKQr9/pFIhGZprnh5WB72OhxW/0D+MSJEwoEAvYP4FrvDWwPGznW9dpyrncezvPdjZ/zu9dGjtnqMF0sFpXP5yvObc79nWsn/swndKNj1DrJVg+eYJqmhoaGlMvlNrwcbG/rHbfyD9/VA3Ns9L2B7WEj52i9tpzrnYfzfHfj5/zutd4xi0ajisViFdM493efTv6ZT+hG2yQSibofhkNDQ/bVi6v/WpXP5+uOaFy+P6Q8iqFlWRteDpzl1PEvi0aja+7pqvXe4C/h28NGjnW9tpzrnYfzfHfj5/zu1cwxKxaLSqfTa9pw7u9cO/Jn/hYP5AaskcvlKkYlLJVKJcMwqo5KmclkSoZh2N8XCoWSpFKhUNjQcrB9NHPcYrFYKZfLlUqlK++BQqFQ972B7WEjx7peW871zsN5vrvxc373auaYTU9Pr3kN535nWy+C7sSf+Qykhm3n6r9QWpal/v5++y9Yq0etNU2zortROp1WMBiUYRjrLgfb00aOv3RlYBWfz2ff3zc1NWUf/1rvDWwPGz3Xa7XlXO88nOe7Gz/nd6+NnvvlaVcPnMW53/mu7g6+03/mu0qlUmmriwCuZlmW4vG4BgYGNDMzo7GxMftkCoVCGhgYsB8ZUR7J0DAM5XK5ig/hesvB9tXo8bcsS16vt+K1hmGoUChIqv/ewPawkXO9XlvO9c7Deb678XN+99rIsZekiYkJ5XI5xePxiuVw7needDqt6elpTUxMaHR0VAMDA/ZAmTv9Zz6hGwAAAAAAh9C9HAAAAAAAhxC6AQAAAABwCKEbAAAAAACHELoBAAAAAHAIoRsAAAAAAIcQugEAAAAAcAihGwCAHSCVSsnr9crlcsnv9yudTm91SQAAQIRuAAC2tYmJCblcLrndbrndbrlcLnm9XkWjURWLRUmSZVmKRqNKJpPK5XI6fvy4hoaGZFnWustPJBLy+/32ckOhUEOvAwAAjSF0AwCwzRmGoUKhoEKhoFKppOnpaVmWJb/fr2KxKNM0lclk5PP5ZJqmRkdHJUnZbLbucicmJhSNRjU2NqZcLqd4PC6Px8NVcgAAWmjvVhcAAAA2xjRNJZNJud1uTU1NKRwOyzAMe34qlZJpmgoEAnWXU746HgwG7eWu9xoAALAxXOkGAGCHsCxLkUhE+XxeuVyuIojX0kgbAADQPEI3AAAdxrIshUIheTwehcNhSVeuWpe/hoeH7fu96wkEAopEIut2J5+YmKg5SFs0GpXX65Xb7VYkEql4XSgUUiKRUCKRkNfrrXhdJBKR2+2W1+tVIpHYwNYDANBZCN0AAGxzxWJRLpfL/vJ6vfZ93NKVe7cnJibsEczLg66tF2aTyaQMw9DQ0JBcLpdCodCa+8AjkYhOnDihZDKpQqGgWCxmB/py++npac3NzSmfz2toaKii7ng8rlgsplgsZnddLw/WNjc3p+npaUWj0XXvPwcAoFO5SqVSaauLAAAA1U1MTGh8fFyFQkHSlYDt9/tVKBRa1jU8m83qxIkTSqVSsizLvs+7WCzK7XYrl8vJNM01r6lWh9vtVjKZVCAQ0NDQkGZnZzU3N2e3sSxLXq+34nWJREK5XE6xWKwl2wMAwHbClW4AADqIz+dTIBBQNBpt6TJjsZhyuZyCwaC97HQ6LcMw1gRuSZqdnZVpmmuCf39/v6anp+3vA4FARZvyFe2+vj77ijxXugEAOxmjlwMA0GFisZj8fr+i0WjVQLwZY2Nj9qPI6mnknnFJVevz+Xx213gAAHY6rnQDANBhWnW127KsqtMMw5BhGPL5fCoWi1XbBQIBWZa1JnzPzs5qYGCgbu3ZbLbh0A4AQKcjdAMA0IFisZhSqVTT3bKz2ay8Xq+i0ajS6bQsy1IqldLIyIh9b7VpmgqHw/bAZ8ViUalUStFo1A7+g4OD9rxQKCTTNO3nfldz9TKlK88Vn5iYaGo7AADY7gjdAAB0oM1e7fb5fJqenrYfP+b1ejU+Pq7JyUn7MWSSFI/H7UHR3G634vG4jh8/Lkmanp5WIBCQ3+9XX1+fPB5PQ93G4/G4fD6f/H6/vczyyOYAAOw0jF4OAAAAAIBDuNINAAAAAIBDCN0AAAAAADiE0A0AAAAAgEMI3QAAAAAAOITQDQAAAACAQwjdAAAAAAA4hNANAAAAAIBDCN0AAAAAADiE0A0AAAAAgEMI3QAAAAAAOITQDQAAAACAQwjdAAAAAAA45P8H7UI6c3OTSgUAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Following generated by AI - see [11]\n",
"# Calculate R² score for torque in each 13-row segment\n",
"torque_segment_scores = []\n",
"torque_segment_info = []\n",
"\n",
"for i in range(num_segments):\n",
" start_idx = i * 13\n",
" end_idx = start_idx + 13\n",
" \n",
" # Get actual and predicted torque values for this segment\n",
" segment_actual_torque = y.iloc[start_idx:end_idx, 1].values # Torque column\n",
" segment_pred_torque = model_best.predict(poly_best.transform(X.iloc[start_idx:end_idx]))[:, 1]\n",
" \n",
" # Calculate R² for this segment\n",
" segment_r2_torque = r2_score(segment_actual_torque, segment_pred_torque)\n",
" torque_segment_scores.append(segment_r2_torque)\n",
" \n",
" # Store segment info\n",
" segment_data = magDf.iloc[start_idx:end_idx]\n",
" currL = segment_data['currL [A]'].iloc[0]\n",
" currR = segment_data['currR [A]'].iloc[0]\n",
" roll = segment_data['rollDeg [deg]'].iloc[0]\n",
" torque_segment_info.append({\n",
" 'start': start_idx,\n",
" 'end': end_idx,\n",
" 'currL': currL,\n",
" 'currR': currR,\n",
" 'roll': roll,\n",
" 'r2': segment_r2_torque\n",
" })\n",
"\n",
"# Find worst and best performing segments for torque\n",
"worst_torque_idx = np.argmin(torque_segment_scores)\n",
"best_torque_idx = np.argmax(torque_segment_scores)\n",
"worst_torque_segment = torque_segment_info[worst_torque_idx]\n",
"best_torque_segment = torque_segment_info[best_torque_idx]\n",
"\n",
"print(f\"Torque Prediction Analysis (across {num_segments} segments):\")\n",
"print(f\"\\nBest R² Score: {max(torque_segment_scores):.6f}\")\n",
"print(f\" Parameters: currL={best_torque_segment['currL']:.0f}A, currR={best_torque_segment['currR']:.0f}A, roll={best_torque_segment['roll']:.1f}°\")\n",
"print(f\"\\nWorst R² Score: {min(torque_segment_scores):.6f}\")\n",
"print(f\" Parameters: currL={worst_torque_segment['currL']:.0f}A, currR={worst_torque_segment['currR']:.0f}A, roll={worst_torque_segment['roll']:.1f}°\")\n",
"print(f\"\\nMean R²: {np.mean(torque_segment_scores):.6f}\")\n",
"print(f\"Median R²: {np.median(torque_segment_scores):.6f}\")\n",
"print(f\"Std Dev: {np.std(torque_segment_scores):.6f}\")\n",
"\n",
"# Create histogram of torque R² scores\n",
"fig, ax = plt.subplots(1, 1, figsize=(10, 6))\n",
"ax.hist(torque_segment_scores, bins=30, edgecolor='black', alpha=0.7, color='#9467bd')\n",
"ax.axvline(np.mean(torque_segment_scores), color='red', linestyle='--', linewidth=2, label=f'Mean = {np.mean(torque_segment_scores):.6f}')\n",
"ax.axvline(np.median(torque_segment_scores), color='orange', linestyle='--', linewidth=2, label=f'Median = {np.median(torque_segment_scores):.6f}')\n",
"ax.set_xlabel('R² Score', fontsize=12)\n",
"ax.set_ylabel('Number of Segments', fontsize=12)\n",
"ax.set_title('Distribution of Torque R² Scores Across All Parameter Segments', fontsize=14, fontweight='bold')\n",
"ax.legend(fontsize=11)\n",
"ax.grid(True, alpha=0.3, axis='y')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "5bffc9a9",
"metadata": {},
"source": [
"### Worst-Case Torque Prediction Visualization\n",
"\n",
"Let's visualize the worst-performing torque segment to assess model robustness."
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "9d5580f3",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x700 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Worst-case torque prediction achieves R² = -0.638044\n"
]
}
],
"source": [
"# Following generated by AI - see [11]\n",
"# Get worst torque segment data\n",
"worst_torque_data = magDf.iloc[worst_torque_segment['start']:worst_torque_segment['end']]\n",
"worst_torque_currL = worst_torque_segment['currL']\n",
"worst_torque_currR = worst_torque_segment['currR']\n",
"worst_torque_roll = worst_torque_segment['roll']\n",
"worst_torque_r2 = worst_torque_segment['r2']\n",
"\n",
"# Create fine grid for this worst segment\n",
"gap_fine_worst_torque = np.linspace(2, 30, 500)\n",
"X_worst_torque_fine = pd.DataFrame({\n",
" 'currL [A]': [worst_torque_currL] * 500,\n",
" 'currR [A]': [worst_torque_currR] * 500,\n",
" 'rollDeg [deg]': [worst_torque_roll] * 500,\n",
" 'invGap': 1/gap_fine_worst_torque\n",
"})\n",
"\n",
"# Get predictions\n",
"X_worst_torque_poly = poly_best.transform(X_worst_torque_fine)\n",
"y_worst_torque_pred = model_best.predict(X_worst_torque_poly)\n",
"\n",
"# Extract actual data\n",
"gap_worst_torque_actual = worst_torque_data['GapHeight [mm]'].values\n",
"torque_worst_actual = worst_torque_data['YokeTorque.Torque [mNewtonMeter]'].values\n",
"\n",
"# Create the plot\n",
"fig, ax = plt.subplots(1, 1, figsize=(12, 7))\n",
"\n",
"# Plot polynomial curve for TORQUE\n",
"ax.plot(gap_fine_worst_torque, y_worst_torque_pred[:, 1], '-', linewidth=2.5, \n",
" label=f'Degree {best_degree} Polynomial', color='#ff7f0e', alpha=0.8)\n",
"\n",
"# Plot actual data points\n",
"ax.scatter(gap_worst_torque_actual, torque_worst_actual, s=120, marker='o', \n",
" color='#9467bd', edgecolors='black', linewidths=1.5,\n",
" label='Ansys Data', zorder=5)\n",
"\n",
"# Formatting\n",
"ax.set_xlabel('Gap Height (mm)', fontsize=13)\n",
"ax.set_ylabel('Torque (mN·m)', fontsize=13)\n",
"ax.set_title(f'Worst Torque Case (R² = {worst_torque_r2:.6f}) - currL={worst_torque_currL:.0f}A, currR={worst_torque_currR:.0f}A, roll={worst_torque_roll:.1f}°', \n",
" fontsize=14, fontweight='bold')\n",
"ax.legend(fontsize=12, loc='best')\n",
"ax.grid(True, alpha=0.3)\n",
"\n",
"# Add vertical lines at data points\n",
"for gap_point in gap_worst_torque_actual:\n",
" ax.axvline(gap_point, color='gray', linestyle=':', alpha=0.3, linewidth=0.8)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"\n",
"print(f\"Worst-case torque prediction achieves R² = {worst_torque_r2:.6f}\")"
]
},
{
"cell_type": "markdown",
"id": "c63aca1e",
"metadata": {},
"source": [
"### We can see here that at roll angle and current differential of 0 (when torque will be very close to 0):\n",
"\n",
"There is significant overfitting to noise, but within the operating range of 6 - 24 mm, there is never more variation than there would be with simple linear interpolation.\n",
"\n",
"Hopefully this means we are ok"
]
},
{
"cell_type": "markdown",
"id": "1e1c384f",
"metadata": {},
"source": [
"### Export Model Summary\n",
"\n",
"Display key model information before exporting."
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "778f58df",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"============================================================\n",
"MODEL EXPORT SUMMARY\n",
"============================================================\n",
"\n",
"Model Type: Polynomial Regression\n",
"Polynomial Degree: 6\n",
"Number of Features: 4\n",
"Number of Polynomial Terms: 210\n",
"\n",
"Input Features:\n",
" - currL [A]\n",
" - currR [A]\n",
" - rollDeg [deg]\n",
" - invGap (1/GapHeight)\n",
"\n",
"Outputs:\n",
" - YokeForce.Force_z [newton]\n",
" - YokeTorque.Torque [mNewtonMeter]\n",
"\n",
"Model Performance:\n",
" Force R² Score: 0.999967\n",
" Torque R² Score: 0.999895\n",
"\n",
"Model Coefficients Shape:\n",
" Force coefficients: (210,)\n",
" Torque coefficients: (210,)\n",
"============================================================\n"
]
}
],
"source": [
"# The following was generated by AI - see [12]\n",
"print(\"=\" * 60)\n",
"print(\"MODEL EXPORT SUMMARY\")\n",
"print(\"=\" * 60)\n",
"print(f\"\\nModel Type: Polynomial Regression\")\n",
"print(f\"Polynomial Degree: {best_degree}\")\n",
"print(f\"Number of Features: {poly_best.n_features_in_}\")\n",
"print(f\"Number of Polynomial Terms: {poly_best.n_output_features_}\")\n",
"print(f\"\\nInput Features:\")\n",
"print(\" - currL [A]\")\n",
"print(\" - currR [A]\")\n",
"print(\" - rollDeg [deg]\")\n",
"print(\" - invGap (1/GapHeight)\")\n",
"print(f\"\\nOutputs:\")\n",
"print(\" - YokeForce.Force_z [newton]\")\n",
"print(\" - YokeTorque.Torque [mNewtonMeter]\")\n",
"print(f\"\\nModel Performance:\")\n",
"print(f\" Force R² Score: {r2_score(y.iloc[:, 0].values, y_pred_full[:, 0]):.6f}\")\n",
"print(f\" Torque R² Score: {torque_r2_overall:.6f}\")\n",
"print(f\"\\nModel Coefficients Shape:\")\n",
"print(f\" Force coefficients: {model_best.coef_[0].shape}\")\n",
"print(f\" Torque coefficients: {model_best.coef_[1].shape}\")\n",
"print(\"=\" * 60)"
]
},
{
"cell_type": "markdown",
"id": "gf4ju6ai5xg",
"metadata": {},
"source": [
"### Extract Explicit Polynomial Equations\n",
"\n",
"Since `PolynomialFeatures` + `LinearRegression` is literally a polynomial, we can extract the full closed-form equations for force and torque as functions of the four input variables."
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "t1olo3k5j7q",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"================================================================================\n",
"FORCE POLYNOMIAL — Top 20 terms by |coefficient|\n",
"================================================================================\n",
" Constant: -1.383776e+01\n",
" -5.340149e+03 * invGap^3\n",
" -2.235411e+03 * invGap^4\n",
" +1.376722e+03 * invGap^2\n",
" +9.205603e+02 * rollDeg [deg]^2 * invGap^3\n",
" +6.340440e+02 * invGap\n",
" -5.962319e+02 * invGap^5\n",
" +4.005882e+02 * rollDeg [deg]^2 * invGap^4\n",
" +3.681499e+02 * currR [A]^2 * invGap^4\n",
" +3.595010e+02 * currL [A]^2 * invGap^4\n",
" +3.592905e+02 * currR [A] * rollDeg [deg] * invGap^4\n",
" -3.592904e+02 * currL [A] * rollDeg [deg] * invGap^4\n",
" -2.356399e+02 * rollDeg [deg]^2 * invGap^2\n",
" -1.492356e+02 * currR [A]^2 * invGap^3\n",
" -1.460868e+02 * currL [A]^2 * invGap^3\n",
" -1.315156e+02 * invGap^6\n",
" -1.266494e+02 * currR [A] * rollDeg [deg] * invGap^3\n",
" +1.266493e+02 * currL [A] * rollDeg [deg] * invGap^3\n",
" +1.251491e+02 * currR [A] * invGap^3\n",
" +1.234347e+02 * currL [A] * invGap^3\n",
" +5.262747e+01 * currR [A] * invGap^4\n",
" ... (206 non-zero terms total)\n",
"\n",
"================================================================================\n",
"TORQUE POLYNOMIAL — Top 20 terms by |coefficient|\n",
"================================================================================\n",
" Constant: -2.560964e+00\n",
" -9.101655e+04 * rollDeg [deg] * invGap^3\n",
" +4.700717e+04 * rollDeg [deg] * invGap^2\n",
" -3.973067e+04 * rollDeg [deg] * invGap^4\n",
" +1.915057e+04 * rollDeg [deg]^3 * invGap^3\n",
" -1.794691e+04 * currR [A] * rollDeg [deg] * invGap^4\n",
" -1.794691e+04 * currL [A] * rollDeg [deg] * invGap^4\n",
" -1.076582e+04 * rollDeg [deg] * invGap^5\n",
" +8.596591e+03 * currL [A] * invGap^3\n",
" -8.155426e+03 * currR [A] * invGap^3\n",
" +5.456996e+03 * currR [A] * rollDeg [deg] * invGap^3\n",
" +5.456996e+03 * currL [A] * rollDeg [deg] * invGap^3\n",
" -3.769444e+03 * rollDeg [deg]^3 * invGap^2\n",
" +3.652133e+03 * currL [A] * invGap^4\n",
" -3.464337e+03 * currR [A] * invGap^4\n",
" -2.679629e+03 * currL [A] * invGap^2\n",
" +2.538618e+03 * currR [A] * invGap^2\n",
" +1.385161e+03 * currL [A]^2 * invGap^4\n",
" -1.269193e+03 * currL [A] * rollDeg [deg]^2 * invGap^3\n",
" +1.235618e+03 * currR [A] * rollDeg [deg]^2 * invGap^3\n",
" -1.145728e+03 * currR [A]^2 * invGap^4\n",
" ... (209 non-zero terms total)\n",
"\n",
"Full equations (all 210 terms) saved to: polynomial_equations.txt\n"
]
}
],
"source": [
"import re\n",
"\n",
"# Extract the explicit polynomial equations from the fitted model\n",
"\n",
"feature_names_raw = poly_best.get_feature_names_out()\n",
"\n",
"# sklearn already uses the real column names from our DataFrame.\n",
"# Term separators are spaces followed by a lowercase letter (start of next variable),\n",
"# while spaces inside names like \"currL [A]\" are followed by \"[\".\n",
"def prettify_term(raw_name):\n",
" if raw_name == '1':\n",
" return '1'\n",
" return re.sub(r' (?=[a-z])', ' * ', raw_name)\n",
"\n",
"pretty_names = [prettify_term(n) for n in feature_names_raw]\n",
"\n",
"# The full prediction is: y = intercept + sum(coef_i * feature_i)\n",
"# where feature_0 = 1 (bias from PolynomialFeatures), so the effective\n",
"# constant term = intercept + coef_for_bias_column.\n",
"\n",
"force_coefs = model_best.coef_[0]\n",
"torque_coefs = model_best.coef_[1]\n",
"force_intercept = model_best.intercept_[0]\n",
"torque_intercept = model_best.intercept_[1]\n",
"\n",
"# Combine intercept with the '1' term coefficient\n",
"force_constant = force_intercept + force_coefs[0]\n",
"torque_constant = torque_intercept + torque_coefs[0]\n",
"\n",
"def build_equation_string(coefs, intercept, names, threshold=1e-10):\n",
" \"\"\"Build a readable polynomial equation string, skipping near-zero terms.\"\"\"\n",
" constant = intercept + coefs[0] # combine intercept with bias column\n",
" terms = [f\"{constant:.10e}\"]\n",
" for name, c in zip(names[1:], coefs[1:]): # skip the '1' term\n",
" if abs(c) > threshold:\n",
" terms.append(f\"({c:+.10e}) * {name}\")\n",
" return terms\n",
"\n",
"# --- Print top terms by magnitude for quick overview ---\n",
"print(\"=\" * 80)\n",
"print(\"FORCE POLYNOMIAL — Top 20 terms by |coefficient|\")\n",
"print(\"=\" * 80)\n",
"\n",
"# Pair names with coefficients (skip bias, fold into constant)\n",
"force_terms = [(pretty_names[i], force_coefs[i]) for i in range(1, len(pretty_names))]\n",
"force_terms_sorted = sorted(force_terms, key=lambda x: abs(x[1]), reverse=True)\n",
"\n",
"print(f\" Constant: {force_constant:.6e}\")\n",
"for name, c in force_terms_sorted[:20]:\n",
" print(f\" {c:+.6e} * {name}\")\n",
"print(f\" ... ({len([c for _, c in force_terms if abs(c) > 1e-10])} non-zero terms total)\")\n",
"\n",
"print()\n",
"print(\"=\" * 80)\n",
"print(\"TORQUE POLYNOMIAL — Top 20 terms by |coefficient|\")\n",
"print(\"=\" * 80)\n",
"\n",
"torque_terms = [(pretty_names[i], torque_coefs[i]) for i in range(1, len(pretty_names))]\n",
"torque_terms_sorted = sorted(torque_terms, key=lambda x: abs(x[1]), reverse=True)\n",
"\n",
"print(f\" Constant: {torque_constant:.6e}\")\n",
"for name, c in torque_terms_sorted[:20]:\n",
" print(f\" {c:+.6e} * {name}\")\n",
"print(f\" ... ({len([c for _, c in torque_terms if abs(c) > 1e-10])} non-zero terms total)\")\n",
"\n",
"# --- Save complete equations to text file ---\n",
"with open('polynomial_equations.txt', 'w') as f:\n",
" f.write(\"Magnetic Levitation Force & Torque — Explicit Polynomial Equations\\n\")\n",
" f.write(f\"Polynomial Degree: {best_degree}\\n\")\n",
" f.write(f\"Variables:\\n\")\n",
" f.write(f\" currL [A] = Left coil current\\n\")\n",
" f.write(f\" currR [A] = Right coil current\\n\")\n",
" f.write(f\" rollDeg [deg] = Roll angle\\n\")\n",
" f.write(f\" invGap = 1 / GapHeight [1/mm]\\n\")\n",
" f.write(f\"\\n{'='*80}\\n\")\n",
" f.write(f\"FORCE [N] = \\n\")\n",
" force_eq = build_equation_string(force_coefs, force_intercept, pretty_names)\n",
" for i, term in enumerate(force_eq):\n",
" prefix = \" \" if i == 0 else \" + \"\n",
" f.write(f\"{prefix}{term}\\n\")\n",
" f.write(f\"\\n{'='*80}\\n\")\n",
" f.write(f\"TORQUE [mN*m] = \\n\")\n",
" torque_eq = build_equation_string(torque_coefs, torque_intercept, pretty_names)\n",
" for i, term in enumerate(torque_eq):\n",
" prefix = \" \" if i == 0 else \" + \"\n",
" f.write(f\"{prefix}{term}\\n\")\n",
"\n",
"print(f\"\\nFull equations (all {len(pretty_names)} terms) saved to: polynomial_equations.txt\")"
]
},
{
"cell_type": "markdown",
"id": "88208b13",
"metadata": {},
"source": [
"### Create Standalone Python Predictor Class\n",
"\n",
"Generate a self-contained Python module that can be imported into your simulator without scikit-learn dependencies."
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "edb239e1",
"metadata": {},
"outputs": [],
"source": [
"# # The following was generated by AI - see [12]\n",
"# # Generate standalone predictor class\n",
"# predictor_code = f'''\"\"\"\n",
"# Magnetic Levitation Force and Torque Predictor\n",
"# Generated from polynomial regression model (degree {best_degree})\n",
"\n",
"# Performance:\n",
"# - Force R²: {r2_score(y.iloc[:, 0].values, y_pred_full[:, 0]):.6f}\n",
"# - Torque R²: {torque_r2_overall:.6f}\n",
"\n",
"# Usage:\n",
"# predictor = MaglevPredictor()\n",
"# force, torque = predictor.predict(currL=-15, currR=-15, roll=1.0, gap_height=10.0)\n",
"# \"\"\"\n",
"\n",
"# import numpy as np\n",
"# from itertools import combinations_with_replacement\n",
"\n",
"# class MaglevPredictor:\n",
"# def __init__(self):\n",
"# \"\"\"Initialize the magnetic levitation force/torque predictor.\"\"\"\n",
"# self.degree = {best_degree}\n",
"# self.n_features = 4 # currL, currR, roll, invGap\n",
" \n",
"# # Force model coefficients\n",
"# self.force_intercept = {model_best.intercept_[0]}\n",
"# self.force_coef = np.array({model_best.coef_[0].tolist()})\n",
" \n",
"# # Torque model coefficients \n",
"# self.torque_intercept = {model_best.intercept_[1]}\n",
"# self.torque_coef = np.array({model_best.coef_[1].tolist()})\n",
" \n",
"# def _polynomial_features(self, X):\n",
"# \"\"\"\n",
"# Generate polynomial features up to specified degree.\n",
"# Mimics sklearn's PolynomialFeatures with include_bias=True.\n",
" \n",
"# Args:\n",
"# X: numpy array of shape (n_samples, 4) with [currL, currR, roll, invGap]\n",
" \n",
"# Returns:\n",
"# Polynomial features array\n",
"# \"\"\"\n",
"# n_samples = X.shape[0]\n",
" \n",
"# # Start with bias term (column of ones)\n",
"# features = [np.ones(n_samples)]\n",
" \n",
"# # Add original features\n",
"# for i in range(self.n_features):\n",
"# features.append(X[:, i])\n",
" \n",
"# # Add polynomial combinations\n",
"# for deg in range(2, self.degree + 1):\n",
"# for combo in combinations_with_replacement(range(self.n_features), deg):\n",
"# term = np.ones(n_samples)\n",
"# for idx in combo:\n",
"# term *= X[:, idx]\n",
"# features.append(term)\n",
" \n",
"# return np.column_stack(features)\n",
" \n",
"# def predict(self, currL, currR, roll, gap_height):\n",
"# \"\"\"\n",
"# Predict force and torque for given operating conditions.\n",
" \n",
"# Args:\n",
"# currL: Left coil current in Amps\n",
"# currR: Right coil current in Amps\n",
"# roll: Roll angle in degrees\n",
"# gap_height: Gap height in mm\n",
" \n",
"# Returns:\n",
"# tuple: (force [N], torque [mN·m])\n",
"# \"\"\"\n",
"# # Compute inverse gap (critical transformation!)\n",
"# invGap = 1.0 / gap_height\n",
" \n",
"# # Create input array\n",
"# X = np.array([[currL, currR, roll, invGap]])\n",
" \n",
"# # Generate polynomial features\n",
"# X_poly = self._polynomial_features(X)\n",
" \n",
"# # Compute predictions\n",
"# force = self.force_intercept + np.dot(X_poly, self.force_coef)[0]\n",
"# torque = self.torque_intercept + np.dot(X_poly, self.torque_coef)[0]\n",
" \n",
"# return force, torque\n",
" \n",
"# def predict_batch(self, currL_array, currR_array, roll_array, gap_height_array):\n",
"# \"\"\"\n",
"# Predict force and torque for multiple operating conditions.\n",
" \n",
"# Args:\n",
"# currL_array: Array of left coil currents [A]\n",
"# currR_array: Array of right coil currents [A]\n",
"# roll_array: Array of roll angles [deg]\n",
"# gap_height_array: Array of gap heights [mm]\n",
" \n",
"# Returns:\n",
"# tuple: (force_array [N], torque_array [mN·m])\n",
"# \"\"\"\n",
"# # Convert to numpy arrays\n",
"# currL_array = np.asarray(currL_array)\n",
"# currR_array = np.asarray(currR_array)\n",
"# roll_array = np.asarray(roll_array)\n",
"# gap_height_array = np.asarray(gap_height_array)\n",
" \n",
"# # Compute inverse gaps\n",
"# invGap_array = 1.0 / gap_height_array\n",
" \n",
"# # Stack into feature matrix\n",
"# X = np.column_stack([currL_array, currR_array, roll_array, invGap_array])\n",
" \n",
"# # Generate polynomial features\n",
"# X_poly = self._polynomial_features(X)\n",
" \n",
"# # Compute predictions\n",
"# force_array = self.force_intercept + np.dot(X_poly, self.force_coef)\n",
"# torque_array = self.torque_intercept + np.dot(X_poly, self.torque_coef)\n",
" \n",
"# return force_array, torque_array\n",
"\n",
"\n",
"# if __name__ == \"__main__\":\n",
"# # Example usage\n",
"# predictor = MaglevPredictor()\n",
" \n",
"# # Single prediction\n",
"# force, torque = predictor.predict(currL=-15, currR=-15, roll=1.0, gap_height=10.0)\n",
"# print(f\"Single prediction:\")\n",
"# print(f\" Force: {{force:.2f}} N\")\n",
"# print(f\" Torque: {{torque:.2f}} mN·m\")\n",
" \n",
"# # Batch prediction\n",
"# currL = np.array([-15, -15, -10])\n",
"# currR = np.array([-15, -10, -10])\n",
"# roll = np.array([0, 0.5, 1.0])\n",
"# gap = np.array([10, 12, 15])\n",
" \n",
"# forces, torques = predictor.predict_batch(currL, currR, roll, gap)\n",
"# print(f\"\\\\nBatch prediction:\")\n",
"# for i in range(len(forces)):\n",
"# print(f\" Condition {{i+1}}: Force={{forces[i]:.2f}} N, Torque={{torques[i]:.2f}} mN·m\")\n",
"# '''\n",
"\n",
"# # Save to file\n",
"# predictor_filename = 'maglev_predictor.py'\n",
"# with open(predictor_filename, 'w') as f:\n",
"# f.write(predictor_code)\n",
"\n",
"# print(f\"✓ Saved standalone predictor: {predictor_filename}\")\n",
"# print(f\"\\nThis module:\")\n",
"# print(f\" - Has NO scikit-learn dependency (only numpy)\")\n",
"# print(f\" - Can be imported directly into your simulator\")\n",
"# print(f\" - Includes both single and batch prediction methods\")\n",
"# print(f\" - Implements polynomial feature generation internally\")\n",
"# print(f\"\\nTo use:\")\n",
"# print(f\"```python\")\n",
"# print(f\"from maglev_predictor import MaglevPredictor\")\n",
"# print(f\"predictor = MaglevPredictor()\")\n",
"# print(f\"force, torque = predictor.predict(currL=-15, currR=-15, roll=1.0, gap_height=10.0)\")\n",
"# print(f\"```\")"
]
},
{
"cell_type": "markdown",
"id": "e4f40fb4",
"metadata": {},
"source": [
"### Test the Exported Predictor\n",
"\n",
"Verify the standalone predictor produces identical results to the original model."
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "4a1ddacd",
"metadata": {},
"outputs": [],
"source": [
"# # The following was generated by AI - see [12]\n",
"# # Import the standalone predictor (reload to get latest version)\n",
"# import importlib\n",
"# import maglev_predictor\n",
"# importlib.reload(maglev_predictor)\n",
"# from maglev_predictor import MaglevPredictor\n",
"\n",
"# # Create predictor instance\n",
"# standalone_predictor = MaglevPredictor()\n",
"\n",
"# # Test cases\n",
"# test_cases = [\n",
"# {'currL': -15, 'currR': -15, 'roll': 0.0, 'gap': 10.0},\n",
"# {'currL': -15, 'currR': -15, 'roll': 1.0, 'gap': 10.0},\n",
"# {'currL': -15, 'currR': -10, 'roll': 0.5, 'gap': 12.0},\n",
"# {'currL': -10, 'currR': -10, 'roll': 2.0, 'gap': 15.0},\n",
"# ]\n",
"\n",
"# print(\"Validation: Comparing Standalone Predictor vs Original Model\")\n",
"# print(\"=\" * 80)\n",
"\n",
"# for i, case in enumerate(test_cases):\n",
"# # Standalone predictor\n",
"# force_standalone, torque_standalone = standalone_predictor.predict(\n",
"# case['currL'], case['currR'], case['roll'], case['gap']\n",
"# )\n",
" \n",
"# # Original model\n",
"# X_test = pd.DataFrame({\n",
"# 'currL [A]': [case['currL']],\n",
"# 'currR [A]': [case['currR']],\n",
"# 'rollDeg [deg]': [case['roll']],\n",
"# 'invGap': [1/case['gap']]\n",
"# })\n",
"# X_test_poly = poly_best.transform(X_test)\n",
"# y_test_pred = model_best.predict(X_test_poly)\n",
"# force_original = y_test_pred[0, 0]\n",
"# torque_original = y_test_pred[0, 1]\n",
" \n",
"# # Compare\n",
"# force_diff = abs(force_standalone - force_original)\n",
"# torque_diff = abs(torque_standalone - torque_original)\n",
" \n",
"# print(f\"\\nTest Case {i+1}: currL={case['currL']}A, currR={case['currR']}A, \" + \n",
"# f\"roll={case['roll']}°, gap={case['gap']}mm\")\n",
"# print(f\" Force: Standalone={force_standalone:9.4f} N | Original={force_original:9.4f} N | Diff={force_diff:.2e}\")\n",
"# print(f\" Torque: Standalone={torque_standalone:9.4f} mN·m | Original={torque_original:9.4f} mN·m | Diff={torque_diff:.2e}\")\n",
" \n",
"# # Verify match (should be essentially identical, accounting for floating point)\n",
"# assert force_diff < 1e-8, f\"Force mismatch in test case {i+1}\"\n",
"# assert torque_diff < 1e-8, f\"Torque mismatch in test case {i+1}\"\n",
"\n",
"# print(\"\\n\" + \"=\" * 80)\n",
"# print(\"✓ All tests passed! Standalone predictor matches original model perfectly.\")\n",
"# print(\"\\nThe standalone predictor is ready for integration into your simulator!\")"
]
},
{
"cell_type": "markdown",
"id": "d473d5fa",
"metadata": {},
"source": [
"### Export Sklearn Model (Lossless & Faster)\n",
"\n",
"Save the actual sklearn model using joblib for lossless serialization. This is also faster than the standalone predictor"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "5fd33470",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"✓ Saved sklearn model: maglev_model.pkl\n",
"\n",
"File size: 6.13 KB\n",
"\n",
"Contents:\n",
" - PolynomialFeatures transformer (degree 6)\n",
" - LinearRegression model\n",
" - Feature names and metadata\n",
" - Performance metrics\n",
"\n",
"To use:\n",
"```python\n",
"import joblib\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"# Load model\n",
"data = joblib.load('maglev_model.pkl')\n",
"poly = data['poly_features']\n",
"model = data['model']\n",
"\n",
"# Make prediction\n",
"X = pd.DataFrame({'currL [A]': [-15], 'currR [A]': [-15], \n",
" 'rollDeg [deg]': [1.0], 'invGap': [1/10.0]})\n",
"X_poly = poly.transform(X)\n",
"force, torque = model.predict(X_poly)[0]\n",
"```\n"
]
}
],
"source": [
"# The following was generated by AI - see [12]\n",
"import joblib\n",
"import pickle\n",
"\n",
"# Save the polynomial transformer and model\n",
"model_data = {\n",
" 'poly_features': poly_best,\n",
" 'model': model_best,\n",
" 'degree': best_degree,\n",
" 'feature_names': ['currL [A]', 'currR [A]', 'rollDeg [deg]', 'invGap'],\n",
" 'performance': {\n",
" 'force_r2': r2_score(y.iloc[:, 0].values, y_pred_full[:, 0]),\n",
" 'torque_r2': torque_r2_overall\n",
" }\n",
"}\n",
"\n",
"# Save using joblib (preferred for sklearn models)\n",
"joblib.dump(model_data, 'maglev_model.pkl')\n",
"\n",
"print(\"✓ Saved sklearn model: maglev_model.pkl\")\n",
"print(f\"\\nFile size: {os.path.getsize('maglev_model.pkl') / 1024:.2f} KB\")\n",
"print(f\"\\nContents:\")\n",
"print(f\" - PolynomialFeatures transformer (degree {best_degree})\")\n",
"print(f\" - LinearRegression model\")\n",
"print(f\" - Feature names and metadata\")\n",
"print(f\" - Performance metrics\")\n",
"print(f\"\\nTo use:\")\n",
"print(f\"```python\")\n",
"print(f\"import joblib\")\n",
"print(f\"import numpy as np\")\n",
"print(f\"import pandas as pd\")\n",
"print(f\"\")\n",
"print(f\"# Load model\")\n",
"print(f\"data = joblib.load('maglev_model.pkl')\")\n",
"print(f\"poly = data['poly_features']\")\n",
"print(f\"model = data['model']\")\n",
"print(f\"\")\n",
"print(f\"# Make prediction\")\n",
"print(f\"X = pd.DataFrame({{'currL [A]': [-15], 'currR [A]': [-15], \")\n",
"print(f\" 'rollDeg [deg]': [1.0], 'invGap': [1/10.0]}})\")\n",
"print(f\"X_poly = poly.transform(X)\")\n",
"print(f\"force, torque = model.predict(X_poly)[0]\")\n",
"print(f\"```\")"
]
},
{
"cell_type": "markdown",
"id": "99b93e74",
"metadata": {},
"source": [
"### Compare Performance: Sklearn Model vs Standalone Predictor\n",
"\n",
"Benchmark both approaches to show the speed advantage of using sklearn directly."
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "889df820",
"metadata": {},
"outputs": [],
"source": [
"# # The following was generated by AI - see [12]\n",
"# import time\n",
"\n",
"# # Load the sklearn model\n",
"# loaded_data = joblib.load('maglev_model.pkl')\n",
"# loaded_poly = loaded_data['poly_features']\n",
"# loaded_model = loaded_data['model']\n",
"\n",
"# # Create test data (1000 predictions)\n",
"# n_tests = 1000\n",
"# test_currL = np.random.uniform(-15, 0, n_tests)\n",
"# test_currR = np.random.uniform(-15, 0, n_tests)\n",
"# test_roll = np.random.uniform(-5, 5, n_tests)\n",
"# test_gap = np.random.uniform(6, 24, n_tests)\n",
"\n",
"# print(\"Performance Comparison (1000 predictions)\")\n",
"# print(\"=\" * 60)\n",
"\n",
"# # Benchmark 1: Sklearn model (loaded from pickle)\n",
"# start = time.perf_counter()\n",
"# X_test = pd.DataFrame({\n",
"# 'currL [A]': test_currL,\n",
"# 'currR [A]': test_currR,\n",
"# 'rollDeg [deg]': test_roll,\n",
"# 'invGap': 1/test_gap\n",
"# })\n",
"# X_test_poly = loaded_poly.transform(X_test)\n",
"# sklearn_results = loaded_model.predict(X_test_poly)\n",
"# sklearn_time = time.perf_counter() - start\n",
"\n",
"# print(f\"Sklearn Model (pickled): {sklearn_time*1000:.2f} ms\")\n",
"\n",
"# # Benchmark 2: Standalone predictor\n",
"# start = time.perf_counter()\n",
"# standalone_results = standalone_predictor.predict_batch(test_currL, test_currR, test_roll, test_gap)\n",
"# standalone_time = time.perf_counter() - start\n",
"\n",
"# print(f\"Standalone Predictor: {standalone_time*1000:.2f} ms\")\n",
"\n",
"# # Speedup\n",
"# speedup = standalone_time / sklearn_time\n",
"# print(f\"\\nSpeedup: {speedup:.2f}x {'faster' if speedup > 1 else 'slower'} with sklearn model\")\n",
"\n",
"# # Verify results match\n",
"# force_diff = np.abs(sklearn_results[:, 0] - standalone_results[0]).max()\n",
"# torque_diff = np.abs(sklearn_results[:, 1] - standalone_results[1]).max()\n",
"\n",
"# print(f\"\\nResult verification:\")\n",
"# print(f\" Max force difference: {force_diff:.2e} N\")\n",
"# print(f\" Max torque difference: {torque_diff:.2e} mN·m\")\n",
"# print(f\" ✓ Results match!\" if (force_diff < 1e-8 and torque_diff < 1e-8) else \" ✗ Results differ!\")\n",
"\n",
"# # Per-prediction timing\n",
"# print(f\"\\nPer-prediction time:\")\n",
"# print(f\" Sklearn: {sklearn_time/n_tests*1e6:.2f} μs\")\n",
"# print(f\" Standalone: {standalone_time/n_tests*1e6:.2f} μs\")\n",
"\n",
"# print(f\"\\n{'='*60}\")\n",
"# print(f\"Recommendation:\")\n",
"# if speedup > 1.2:\n",
"# print(f\" Use sklearn model (maglev_model.pkl) - {speedup:.1f}x faster!\")\n",
"# elif speedup < 0.8:\n",
"# print(f\" Use standalone predictor - {1/speedup:.1f}x faster!\")\n",
"# else:\n",
"# print(f\" Performance is similar - choose based on dependencies:\")\n",
"# print(f\" • Sklearn model: Faster, requires sklearn+joblib\")\n",
"# print(f\" • Standalone: No sklearn dependency, portable\")"
]
},
{
"cell_type": "markdown",
"id": "21babeb3",
"metadata": {},
"source": [
"### Now, let's find the equilibrium height for our pod, given mass of 5.8 kg. \n",
"\n",
"5.8 kg * 9.81 $m/s^2$ = 56.898 N"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "badbc379",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"======================================================================\n",
"EQUILIBRIUM GAP HEIGHT FINDER (Analytical Solution)\n",
"======================================================================\n",
"Pod mass: 5.8 kg\n",
"Total weight: 56.898 N\n",
"Target force per yoke: 28.449 N\n",
"Parameters: currL = 0 A, currR = 0 A, roll = 0°\n",
"\n",
"using scipy.optimize.fsolve:\n",
" Gap: 16.491742 mm → Force: 28.449000 N\n",
"\n"
]
}
],
"source": [
"# The following was generated by AI - see [13]\n",
"# Find equilibrium gap height for 5.8 kg pod using polynomial root finding\n",
"import numpy as np\n",
"from maglev_predictor import MaglevPredictor\n",
"from scipy.optimize import fsolve\n",
"\n",
"# Initialize predictor\n",
"predictor = MaglevPredictor()\n",
"\n",
"# Target force for 5.8 kg pod (total force = weight)\n",
"# Since we have TWO yokes (front and back), each produces this force\n",
"target_force_per_yoke = 5.8 * 9.81 / 2 # 28.449 N per yoke\n",
"\n",
"print(\"=\" * 70)\n",
"print(\"EQUILIBRIUM GAP HEIGHT FINDER (Analytical Solution)\")\n",
"print(\"=\" * 70)\n",
"print(f\"Pod mass: 5.8 kg\")\n",
"print(f\"Total weight: {5.8 * 9.81:.3f} N\")\n",
"print(f\"Target force per yoke: {target_force_per_yoke:.3f} N\")\n",
"print(f\"Parameters: currL = 0 A, currR = 0 A, roll = 0°\")\n",
"print()\n",
"\n",
"# Method 2: Use scipy.optimize.fsolve for verification\n",
"def force_error(gap_height):\n",
" # Handle array input from fsolve (convert to scalar)\n",
" gap_height = float(np.atleast_1d(gap_height)[0])\n",
" force, _ = predictor.predict(currL=0, currR=0, roll=0, gap_height=gap_height)\n",
" return force - target_force_per_yoke\n",
"\n",
"# Try multiple initial guesses to find all solutions\n",
"initial_guesses = [8, 10, 15, 20, 25]\n",
"scipy_solutions = []\n",
"\n",
"print(\"using scipy.optimize.fsolve:\")\n",
"for guess in initial_guesses:\n",
" solution = fsolve(force_error, guess)[0]\n",
" if 5 <= solution <= 30: # Valid range\n",
" force, torque = predictor.predict(currL=0, currR=0, roll=0, gap_height=solution)\n",
" error = abs(force - target_force_per_yoke)\n",
" if error < 0.01: # Valid solution (within 10 mN)\n",
" scipy_solutions.append((solution, force))\n",
"\n",
"# Remove duplicates (solutions within 0.1 mm)\n",
"unique_solutions = []\n",
"for sol, force in scipy_solutions:\n",
" is_duplicate = False\n",
" for unique_sol, _ in unique_solutions:\n",
" if abs(sol - unique_sol) < 0.1:\n",
" is_duplicate = True\n",
" break\n",
" if not is_duplicate:\n",
" unique_solutions.append((sol, force))\n",
"\n",
"for gap_val, force in unique_solutions:\n",
" print(f\" Gap: {gap_val:.6f} mm → Force: {force:.6f} N\")\n",
"print()"
]
}
],
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