default_of_credit_card_clients.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "400396d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy.optimize import minimize\n",
    "import pandas as pd\n",
    "from sklearn.preprocessing import StandardScaler, RobustScaler, MinMaxScaler\n",
    "from sklearn.impute import SimpleImputer\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import ScalarFormatter\n",
    "\n",
    "\n",
    "from leverage_scores import compute_leverage\n",
    "\n",
    "from row_sampling import leverage_sampling, l2s_sampling, uniform_sampling"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecd53d8d",
   "metadata": {},
   "source": [
    "# **Data cleaning and pre-processing**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2b17f4d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 30000 entries, 0 to 29999\n",
      "Data columns (total 24 columns):\n",
      " #   Column                      Non-Null Count  Dtype\n",
      "---  ------                      --------------  -----\n",
      " 0   LIMIT_BAL                   30000 non-null  int64\n",
      " 1   SEX                         30000 non-null  int64\n",
      " 2   EDUCATION                   30000 non-null  int64\n",
      " 3   MARRIAGE                    30000 non-null  int64\n",
      " 4   AGE                         30000 non-null  int64\n",
      " 5   PAY_0                       30000 non-null  int64\n",
      " 6   PAY_2                       30000 non-null  int64\n",
      " 7   PAY_3                       30000 non-null  int64\n",
      " 8   PAY_4                       30000 non-null  int64\n",
      " 9   PAY_5                       30000 non-null  int64\n",
      " 10  PAY_6                       30000 non-null  int64\n",
      " 11  BILL_AMT1                   30000 non-null  int64\n",
      " 12  BILL_AMT2                   30000 non-null  int64\n",
      " 13  BILL_AMT3                   30000 non-null  int64\n",
      " 14  BILL_AMT4                   30000 non-null  int64\n",
      " 15  BILL_AMT5                   30000 non-null  int64\n",
      " 16  BILL_AMT6                   30000 non-null  int64\n",
      " 17  PAY_AMT1                    30000 non-null  int64\n",
      " 18  PAY_AMT2                    30000 non-null  int64\n",
      " 19  PAY_AMT3                    30000 non-null  int64\n",
      " 20  PAY_AMT4                    30000 non-null  int64\n",
      " 21  PAY_AMT5                    30000 non-null  int64\n",
      " 22  PAY_AMT6                    30000 non-null  int64\n",
      " 23  default payment next month  30000 non-null  int64\n",
      "dtypes: int64(24)\n",
      "memory usage: 5.5 MB\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('default of credit card clients.csv',header=0)\n",
    "df = df.iloc[:, 1:]\n",
    "df['SEX'] = df['SEX'].replace({1: 0, 2: 1})\n",
    "df.info()\n",
    "X_raw = df.drop('default payment next month', axis=1).values\n",
    "y= df['default payment next month'].values\n",
    "\n",
    "scaler = StandardScaler()\n",
    "X = scaler.fit_transform(X_raw)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35e22b54",
   "metadata": {},
   "source": [
    "# **Define the necessary functions for gradient, NLL etc.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a5ceae9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Logistic function (sigmoid)\n",
    "def sigmoid(z):\n",
    "    return 1 / (1 + np.exp(-z))\n",
    "\n",
    "# Negative log likelihood\n",
    "def neg_log_likelihood(theta, X, y):\n",
    "    z = np.dot(X, theta)\n",
    "    return -np.sum(y * z - np.logaddexp(0, z))\n",
    "\n",
    "def lev_neg_log_likelihood(theta, X, y):\n",
    "    z = np.dot(X, theta)\n",
    "    log_sum_exp = np.logaddexp(0, z)\n",
    "    return -np.sum(w*y[ind] * z[ind] - w*log_sum_exp[ind])\n",
    "\n",
    "def l2s_neg_log_likelihood(theta, X, y):\n",
    "    z = np.dot(X, theta)\n",
    "    return -np.sum(w_l2s * y[ind_l2s] * z[ind_l2s] - w_l2s * np.logaddexp(0, z)[ind_l2s])\n",
    "\n",
    "def unif_neg_log_likelihood(theta, X, y):\n",
    "    z = np.dot(X, theta)\n",
    "    log_sum_exp = np.logaddexp(0, z)\n",
    "    return -np.sum(y[ind_unif] * z[ind_unif] - log_sum_exp[ind_unif])\n",
    "\n",
    "\n",
    "\n",
    "# Gradient of negative log likelihood\n",
    "def gradient(theta, X, y):\n",
    "    z = np.dot(X, theta)\n",
    "    return np.dot(X.T, sigmoid(z) - y)\n",
    "\n",
    "def lev_gradient(theta, X, y):\n",
    "    z = np.dot(X, theta)\n",
    "    return np.dot(X.T[:,ind], np.dot(np.diag(w),(sigmoid(z) - y)[ind]))\n",
    "\n",
    "def l2s_gradient(theta, X, y):\n",
    "    z = np.dot(X, theta)\n",
    "    return np.dot(X.T[:,ind_l2s], np.dot(np.diag(w_l2s),(sigmoid(z) - y)[ind_l2s]))\n",
    "\n",
    "def unif_gradient(theta, X, y):\n",
    "    z = np.dot(X, theta)\n",
    "    return np.dot(X.T[:,ind_unif], (sigmoid(z) - y)[ind_unif])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce803a14",
   "metadata": {},
   "source": [
    "# **Run the full-data model**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "aa8c32d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Full data misclassification rate:  0.400100\n"
     ]
    }
   ],
   "source": [
    "initial_theta = np.zeros(X.shape[1])\n",
    "\n",
    "result_opt = minimize(neg_log_likelihood, initial_theta, args=(X, y), \n",
    "                              method='BFGS', jac=gradient)\n",
    "\n",
    "est_probs_opt = (sigmoid(np.dot(X, result_opt.x)))\n",
    "opt_pred_labels = (est_probs_opt > 0.5).astype(int)\n",
    "opt_misclassification_rate = np.mean(opt_pred_labels != y)\n",
    "print(f\"Full data misclassification rate: {opt_misclassification_rate: .6f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72134063",
   "metadata": {},
   "source": [
    "# **Run the sampling algorithms for varying sample sizes**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "88164c9e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Relative Error Estimated Probs Leverage for s = 100: 0.5141172834117559\n",
      "Mean Relative Error Estimated Probs L2S for s = 100: 0.4897282343462252\n",
      "Mean Relative Error Estimated Probs Uniform for s = 100: 0.563406045872616\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 100: 0.4536783333333333\n",
      "Mean L2S Misclassification Rate for s = 100: 0.43484833333333334\n",
      "Mean Uniform Misclassification Rate for s = 100: 0.3998566666666667\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 100: 0.2303812801520166\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 100: 0.18376787015876442\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 100: 0.9975679631034466\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 100: 0.46466684331915564\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 100: 0.4871564996472289\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 100: 1.1480242821648707\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 600: 0.18193000459021932\n",
      "Mean Relative Error Estimated Probs L2S for s = 600: 0.15239241946539578\n",
      "Mean Relative Error Estimated Probs Uniform for s = 600: 0.18336308385911587\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 600: 0.40168833333333326\n",
      "Mean L2S Misclassification Rate for s = 600: 0.4011783333333333\n",
      "Mean Uniform Misclassification Rate for s = 600: 0.39801166666666665\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 600: 0.05068062849074721\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 600: 0.02892582898576246\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 600: 0.9807984408140739\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 600: 0.034490119191584984\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 600: 0.023329657002298332\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 600: 0.03927432743360666\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 1100: 0.13573423898006043\n",
      "Mean Relative Error Estimated Probs L2S for s = 1100: 0.12025362514236808\n",
      "Mean Relative Error Estimated Probs Uniform for s = 1100: 0.13794971352577295\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 1100: 0.39495833333333336\n",
      "Mean L2S Misclassification Rate for s = 1100: 0.40016999999999997\n",
      "Mean Uniform Misclassification Rate for s = 1100: 0.4013983333333333\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 1100: 0.03033139039764713\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 1100: 0.011021620263907603\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 1100: 0.9646473604633108\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 1100: 0.018223254346276783\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 1100: 0.014330396498978881\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 1100: 0.020033485070439838\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 1600: 0.11938576568286827\n",
      "Mean Relative Error Estimated Probs L2S for s = 1600: 0.08971112651176662\n",
      "Mean Relative Error Estimated Probs Uniform for s = 1600: 0.116479289398892\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 1600: 0.3889283333333333\n",
      "Mean L2S Misclassification Rate for s = 1600: 0.39327833333333334\n",
      "Mean Uniform Misclassification Rate for s = 1600: 0.39792833333333333\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 1600: 0.032917756221207066\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 1600: 0.009114777700860211\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 1600: 0.9488904574923132\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 1600: 0.013958587217335963\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 1600: 0.007854783833610183\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 1600: 0.013801068256547372\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 2100: 0.09284851597243099\n",
      "Mean Relative Error Estimated Probs L2S for s = 2100: 0.08400955107965902\n",
      "Mean Relative Error Estimated Probs Uniform for s = 2100: 0.09330170246290717\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 2100: 0.39819166666666667\n",
      "Mean L2S Misclassification Rate for s = 2100: 0.392865\n",
      "Mean Uniform Misclassification Rate for s = 2100: 0.39412833333333336\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 2100: 0.019558989672086084\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 2100: 0.01575283402590562\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 2100: 0.9329464752209686\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 2100: 0.008449196865107554\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 2100: 0.006662834606058274\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 2100: 0.008671031923080493\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 2600: 0.08336701314526038\n",
      "Mean Relative Error Estimated Probs L2S for s = 2600: 0.07235955960319505\n",
      "Mean Relative Error Estimated Probs Uniform for s = 2600: 0.08473310954562366\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 2600: 0.39705\n",
      "Mean L2S Misclassification Rate for s = 2600: 0.397025\n",
      "Mean Uniform Misclassification Rate for s = 2600: 0.40342666666666666\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 2600: 0.024555655419627016\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 2600: 0.016743441989987614\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 2600: 0.9176036139857299\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 2600: 0.006840271317115965\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 2600: 0.0051082318343231336\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 2600: 0.007130853481714358\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 3100: 0.08276338038419385\n",
      "Mean Relative Error Estimated Probs L2S for s = 3100: 0.06733755280819023\n",
      "Mean Relative Error Estimated Probs Uniform for s = 3100: 0.07537603889361615\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 3100: 0.39552000000000004\n",
      "Mean L2S Misclassification Rate for s = 3100: 0.3983283333333333\n",
      "Mean Uniform Misclassification Rate for s = 3100: 0.39463\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 3100: 0.017531429992582868\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 3100: 0.015427621726908303\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 3100: 0.9022017608127326\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 3100: 0.006526584662416249\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 3100: 0.004369394825667084\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 3100: 0.0055008310524135105\n",
      "============================================================\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Relative Error Estimated Probs Leverage for s = 3600: 0.07375423577956808\n",
      "Mean Relative Error Estimated Probs L2S for s = 3600: 0.06104683813871468\n",
      "Mean Relative Error Estimated Probs Uniform for s = 3600: 0.07172797510293313\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 3600: 0.39330833333333326\n",
      "Mean L2S Misclassification Rate for s = 3600: 0.39415666666666666\n",
      "Mean Uniform Misclassification Rate for s = 3600: 0.3958833333333333\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 3600: 0.020672924981754343\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 3600: 0.023264975528951095\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 3600: 0.8872513405104753\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 3600: 0.005313360194868791\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 3600: 0.003494448216774796\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 3600: 0.0049496362784128296\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 4100: 0.06701207737391686\n",
      "Mean Relative Error Estimated Probs L2S for s = 4100: 0.053692681618783475\n",
      "Mean Relative Error Estimated Probs Uniform for s = 4100: 0.06453618952027447\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 4100: 0.39321833333333334\n",
      "Mean L2S Misclassification Rate for s = 4100: 0.393505\n",
      "Mean Uniform Misclassification Rate for s = 4100: 0.39815833333333334\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 4100: 0.01514008073150401\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 4100: 0.029471654660106657\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 4100: 0.8730829112754854\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 4100: 0.004406580957370428\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 4100: 0.002747687514510327\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 4100: 0.004063307547234503\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 4600: 0.0699118891998818\n",
      "Mean Relative Error Estimated Probs L2S for s = 4600: 0.05716111485187712\n",
      "Mean Relative Error Estimated Probs Uniform for s = 4600: 0.062035719068307536\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 4600: 0.4000233333333333\n",
      "Mean L2S Misclassification Rate for s = 4600: 0.39193833333333333\n",
      "Mean Uniform Misclassification Rate for s = 4600: 0.39894666666666667\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 4600: 0.01921916229471108\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 4600: 0.030228067050574868\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 4600: 0.8579242508960345\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 4600: 0.0046873108290610265\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 4600: 0.00310528708605475\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 4600: 0.0036470647524320604\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 5100: 0.06394739501908045\n",
      "Mean Relative Error Estimated Probs L2S for s = 5100: 0.05076418151625173\n",
      "Mean Relative Error Estimated Probs Uniform for s = 5100: 0.057039467699183125\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 5100: 0.39115333333333335\n",
      "Mean L2S Misclassification Rate for s = 5100: 0.3931866666666667\n",
      "Mean Uniform Misclassification Rate for s = 5100: 0.4027983333333333\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 5100: 0.013013165669324455\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 5100: 0.030486602827726618\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 5100: 0.8438168015329539\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 5100: 0.003995765567951482\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 5100: 0.0024701604285083455\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 5100: 0.0031447407554762185\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 5600: 0.0616250901056992\n",
      "Mean Relative Error Estimated Probs L2S for s = 5600: 0.05160330644743487\n",
      "Mean Relative Error Estimated Probs Uniform for s = 5600: 0.05638960560500841\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 5600: 0.3991983333333334\n",
      "Mean L2S Misclassification Rate for s = 5600: 0.3913683333333334\n",
      "Mean Uniform Misclassification Rate for s = 5600: 0.3955066666666666\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 5600: 0.01130147881755817\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 5600: 0.039555837616161674\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 5600: 0.8295524327540427\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 5600: 0.0036890701896768914\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 5600: 0.002496025354810947\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 5600: 0.0030700961879556675\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 6100: 0.05901378122556753\n",
      "Mean Relative Error Estimated Probs L2S for s = 6100: 0.049597412575869915\n",
      "Mean Relative Error Estimated Probs Uniform for s = 6100: 0.05107165447360275\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 6100: 0.39407\n",
      "Mean L2S Misclassification Rate for s = 6100: 0.38942\n",
      "Mean Uniform Misclassification Rate for s = 6100: 0.398505\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 6100: 0.016060013736389815\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 6100: 0.042387220017235626\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 6100: 0.816729919758694\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 6100: 0.003323238143263977\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 6100: 0.0023022106422205275\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 6100: 0.0025361445401389108\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 6600: 0.054320135577720974\n",
      "Mean Relative Error Estimated Probs L2S for s = 6600: 0.04902939205084324\n",
      "Mean Relative Error Estimated Probs Uniform for s = 6600: 0.050655701408155784\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 6600: 0.39610666666666666\n",
      "Mean L2S Misclassification Rate for s = 6600: 0.394315\n",
      "Mean Uniform Misclassification Rate for s = 6600: 0.4026866666666667\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 6600: 0.016963202325053314\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 6600: 0.04594844531518616\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 6600: 0.8029660914174539\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 6600: 0.002803902581098965\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 6600: 0.002247775777209385\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 6600: 0.0024955641252780115\n",
      "============================================================\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Relative Error Estimated Probs Leverage for s = 7100: 0.053064819502789906\n",
      "Mean Relative Error Estimated Probs L2S for s = 7100: 0.047578068557249366\n",
      "Mean Relative Error Estimated Probs Uniform for s = 7100: 0.04969046804229699\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 7100: 0.3942716666666667\n",
      "Mean L2S Misclassification Rate for s = 7100: 0.38889833333333335\n",
      "Mean Uniform Misclassification Rate for s = 7100: 0.40228666666666674\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 7100: 0.013356932412166414\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 7100: 0.04850008671309694\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 7100: 0.7895840130317711\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 7100: 0.0027148969246630706\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 7100: 0.0021154507180207852\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 7100: 0.002355195427858082\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 7600: 0.05305577695315805\n",
      "Mean Relative Error Estimated Probs L2S for s = 7600: 0.048743789331148216\n",
      "Mean Relative Error Estimated Probs Uniform for s = 7600: 0.04630617357122227\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 7600: 0.39792333333333335\n",
      "Mean L2S Misclassification Rate for s = 7600: 0.390725\n",
      "Mean Uniform Misclassification Rate for s = 7600: 0.4014033333333333\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 7600: 0.012075641564292857\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 7600: 0.05143073880175342\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 7600: 0.7763890880192201\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 7600: 0.002644666758566572\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 7600: 0.0022363076885972217\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 7600: 0.002043918158555027\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 8100: 0.05042181690660937\n",
      "Mean Relative Error Estimated Probs L2S for s = 8100: 0.04768806708154666\n",
      "Mean Relative Error Estimated Probs Uniform for s = 8100: 0.045367321744020514\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 8100: 0.3981\n",
      "Mean L2S Misclassification Rate for s = 8100: 0.3859233333333333\n",
      "Mean Uniform Misclassification Rate for s = 8100: 0.39809999999999995\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 8100: 0.011040650507223663\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 8100: 0.05543645831222277\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 8100: 0.7638387052940658\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 8100: 0.0023997351031414065\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 8100: 0.0021348547136980744\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 8100: 0.0019846013938079757\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 8600: 0.04666923608277263\n",
      "Mean Relative Error Estimated Probs L2S for s = 8600: 0.050019303497491965\n",
      "Mean Relative Error Estimated Probs Uniform for s = 8600: 0.04486723538117713\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 8600: 0.39909666666666666\n",
      "Mean L2S Misclassification Rate for s = 8600: 0.3861716666666667\n",
      "Mean Uniform Misclassification Rate for s = 8600: 0.4012016666666667\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 8600: 0.010626733782910989\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 8600: 0.05570084673939909\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 8600: 0.7516246335025516\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 8600: 0.0020879740719666248\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 8600: 0.0023382207457909882\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 8600: 0.0019204282122377663\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 9100: 0.0486745941301337\n",
      "Mean Relative Error Estimated Probs L2S for s = 9100: 0.052186251867860314\n",
      "Mean Relative Error Estimated Probs Uniform for s = 9100: 0.04069575342681198\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 9100: 0.4001733333333333\n",
      "Mean L2S Misclassification Rate for s = 9100: 0.38751833333333335\n",
      "Mean Uniform Misclassification Rate for s = 9100: 0.400995\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 9100: 0.013326799771673534\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 9100: 0.06238295571390377\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 9100: 0.7387614616953283\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 9100: 0.002245365177830517\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 9100: 0.002525425011757826\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 9100: 0.0015905249976053211\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 9600: 0.0466709296415964\n",
      "Mean Relative Error Estimated Probs L2S for s = 9600: 0.05128650656914106\n",
      "Mean Relative Error Estimated Probs Uniform for s = 9600: 0.0404683146549229\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 9600: 0.39319333333333334\n",
      "Mean L2S Misclassification Rate for s = 9600: 0.3892566666666667\n",
      "Mean Uniform Misclassification Rate for s = 9600: 0.40146333333333334\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 9600: 0.011551121912516041\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 9600: 0.0638780690846654\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 9600: 0.7268888709274883\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 9600: 0.002097815200652631\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 9600: 0.0024652049648451685\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 9600: 0.0015618279336723413\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 10100: 0.04519037869596865\n",
      "Mean Relative Error Estimated Probs L2S for s = 10100: 0.05086336510847796\n",
      "Mean Relative Error Estimated Probs Uniform for s = 10100: 0.03799102712212026\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 10100: 0.3941566666666667\n",
      "Mean L2S Misclassification Rate for s = 10100: 0.38582666666666665\n",
      "Mean Uniform Misclassification Rate for s = 10100: 0.4004566666666666\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 10100: 0.009625476911491338\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 10100: 0.06809666507641352\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 10100: 0.7147293825753447\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 10100: 0.0020003277255110745\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 10100: 0.0024001323401415123\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 10100: 0.0013778739392530529\n",
      "============================================================\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Relative Error Estimated Probs Leverage for s = 10600: 0.04153347060062797\n",
      "Mean Relative Error Estimated Probs L2S for s = 10600: 0.05469534754017833\n",
      "Mean Relative Error Estimated Probs Uniform for s = 10600: 0.03858100525103053\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 10600: 0.3941916666666666\n",
      "Mean L2S Misclassification Rate for s = 10600: 0.38634999999999997\n",
      "Mean Uniform Misclassification Rate for s = 10600: 0.39999833333333334\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 10600: 0.00822258995743929\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 10600: 0.07288007873912364\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 10600: 0.7030090963681641\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 10600: 0.0016210854632850067\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 10600: 0.002761957679713844\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 10600: 0.0014413751211056968\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 11100: 0.04579318468414981\n",
      "Mean Relative Error Estimated Probs L2S for s = 11100: 0.055302553653742245\n",
      "Mean Relative Error Estimated Probs Uniform for s = 11100: 0.03666818152617798\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 11100: 0.395705\n",
      "Mean L2S Misclassification Rate for s = 11100: 0.385285\n",
      "Mean Uniform Misclassification Rate for s = 11100: 0.39819666666666664\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 11100: 0.009270635962291631\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 11100: 0.0762771110033097\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 11100: 0.6917352105362525\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 11100: 0.002031412920411127\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 11100: 0.0028461034541308696\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 11100: 0.0012855108549986657\n",
      "============================================================\n",
      "Mean Relative Error Estimated Probs Leverage for s = 11600: 0.039701176156794846\n",
      "Mean Relative Error Estimated Probs L2S for s = 11600: 0.05628450621103627\n",
      "Mean Relative Error Estimated Probs Uniform for s = 11600: 0.037820864329318096\n",
      "-----------------------------------------------------------------------\n",
      "Mean Leverage Misclassification Rate for s = 11600: 0.3983816666666667\n",
      "Mean L2S Misclassification Rate for s = 11600: 0.3861183333333333\n",
      "Mean Uniform Misclassification Rate for s = 11600: 0.3985916666666667\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage Negative Log Likelihood for s = 11600: 0.012336333083656417\n",
      "Mean Relative Error L2S Negative Log Likelihood for s = 11600: 0.07691038803153247\n",
      "Mean Relative Error Uniform Negative Log Likelihood for s = 11600: 0.6800812794913657\n",
      "-----------------------------------------------------------------------\n",
      "Mean Relative Error Leverage True Negative Log Likelihood for s = 11600: 0.0014873738593179364\n",
      "Mean Relative Error L2S Negative True Log Likelihood for s = 11600: 0.0029338855636802394\n",
      "Mean Relative Error Uniform True Negative Log Likelihood for s = 11600: 0.0013842729214596937\n",
      "============================================================\n"
     ]
    }
   ],
   "source": [
    "s_values = range(100,12000,500)\n",
    "\n",
    "# Number of times to run the analysis for each s value\n",
    "num_runs = 20\n",
    "\n",
    "# Initialize lists to store mean relative errors\n",
    "mean_rel_est_probs_lev_list = []\n",
    "mean_rel_est_probs_l2s_list = []\n",
    "mean_rel_est_probs_unif_list = []\n",
    "\n",
    "mean_lev_misclassification_rate_list = []\n",
    "mean_l2s_misclassification_rate_list = []\n",
    "mean_unif_misclassification_rate_list = []\n",
    "\n",
    "mean_rel_lev_neg_log_likelihood_list = []\n",
    "mean_rel_l2s_neg_log_likelihood_list = []\n",
    "mean_rel_unif_neg_log_likelihood_list = []\n",
    "\n",
    "mean_rel_lev_true_neg_log_likelihood_list = []\n",
    "mean_rel_l2s_true_neg_log_likelihood_list = []\n",
    "mean_rel_unif_true_neg_log_likelihood_list = []\n",
    "\n",
    "\n",
    "# Initialize lists for standard deviations\n",
    "\n",
    "std_rel_est_probs_lev_list = []\n",
    "std_rel_est_probs_l2s_list = []\n",
    "std_rel_est_probs_unif_list = []\n",
    "\n",
    "std_lev_misclassification_rate_list = []\n",
    "std_l2s_misclassification_rate_list = []\n",
    "std_unif_misclassification_rate_list = []\n",
    "\n",
    "std_rel_lev_neg_log_likelihood_list = []\n",
    "std_rel_l2s_neg_log_likelihood_list = []\n",
    "std_rel_unif_neg_log_likelihood_list = []\n",
    "\n",
    "std_rel_lev_true_neg_log_likelihood_list = []\n",
    "std_rel_l2s_true_neg_log_likelihood_list = []\n",
    "std_rel_unif_true_neg_log_likelihood_list = []\n",
    "\n",
    "\n",
    "\n",
    "for s in s_values:\n",
    "    \n",
    "    rel_est_probs_lev_list = []\n",
    "    rel_est_probs_l2s_list = []\n",
    "    rel_est_probs_unif_list = []\n",
    "    \n",
    "    lev_misclassification_rate_list = []\n",
    "    l2s_misclassification_rate_list = []\n",
    "    unif_misclassification_rate_list = []\n",
    "    \n",
    "    rel_lev_neg_log_likelihood_list = []\n",
    "    rel_l2s_neg_log_likelihood_list = []\n",
    "    rel_unif_neg_log_likelihood_list = []\n",
    "    \n",
    "    rel_lev_true_neg_log_likelihood_list = []\n",
    "    rel_l2s_true_neg_log_likelihood_list = []\n",
    "    rel_unif_true_neg_log_likelihood_list = []\n",
    "\n",
    "    for run in range(num_runs):\n",
    "        \n",
    "        \n",
    "        # Pick the indices and weights for leverage, l2s, and uniform sampling\n",
    "        ind, w = leverage_sampling (data=X, size=s)\n",
    "\n",
    "        ind_l2s, w_l2s = l2s_sampling(data=X, size=s, k=20)\n",
    "\n",
    "        ind_unif = uniform_sampling(data=X, size=s)\n",
    "        \n",
    "        \n",
    "\n",
    "        # Calculate parameters using leverage, l2s, and uniform methods\n",
    "        result_lev = minimize(lev_neg_log_likelihood, initial_theta, args=(X, y), \n",
    "                              method='BFGS', jac=lev_gradient)\n",
    "        \n",
    "        result_l2s = minimize(l2s_neg_log_likelihood, initial_theta, args=(X, y), \n",
    "                              method='BFGS', jac=l2s_gradient)\n",
    "\n",
    "        result_unif = minimize(unif_neg_log_likelihood, initial_theta, args=(X, y), \n",
    "                              method='BFGS', jac=unif_gradient)\n",
    "\n",
    "        \n",
    "        # Calculate estimated probabilities and predicted labels\n",
    "        est_probs_lev = (sigmoid(np.dot(X, result_lev.x)))\n",
    "        est_probs_l2s = (sigmoid(np.dot(X, result_l2s.x)))\n",
    "        est_probs_unif = (sigmoid(np.dot(X, result_unif.x)))\n",
    "\n",
    "        lev_pred_labels = (est_probs_lev > 0.5).astype(int)\n",
    "        l2s_pred_labels = (est_probs_l2s > 0.5).astype(int)\n",
    "        unif_pred_labels = (est_probs_unif > 0.5).astype(int)\n",
    "\n",
    "        # Calculate misclassification rates and relative errors\n",
    "        \n",
    "        rel_est_probs_lev = np.linalg.norm(est_probs_lev - est_probs_opt) / np.linalg.norm(est_probs_opt)\n",
    "        rel_est_probs_l2s = np.linalg.norm(est_probs_l2s - est_probs_opt) / np.linalg.norm(est_probs_opt)\n",
    "        rel_est_probs_unif = np.linalg.norm(est_probs_unif - est_probs_opt) / np.linalg.norm(est_probs_opt)\n",
    "        \n",
    "        lev_misclassification_rate = np.mean(lev_pred_labels != y)\n",
    "        l2s_misclassification_rate = np.mean(l2s_pred_labels != y)\n",
    "        unif_misclassification_rate = np.mean(unif_pred_labels != y)\n",
    "        \n",
    "        rel_lev_neg_log_likelihood= np.abs(neg_log_likelihood(result_opt.x,X,y)-lev_neg_log_likelihood(result_lev.x,X,y))/neg_log_likelihood(result_opt.x,X,y)\n",
    "        rel_l2s_neg_log_likelihood= np.abs(neg_log_likelihood(result_opt.x,X,y)-l2s_neg_log_likelihood(result_l2s.x,X,y))/neg_log_likelihood(result_opt.x,X,y)                    \n",
    "        rel_unif_neg_log_likelihood= np.abs(neg_log_likelihood(result_opt.x,X,y)-unif_neg_log_likelihood(result_unif.x,X,y))/neg_log_likelihood(result_opt.x,X,y)\n",
    "\n",
    "        rel_lev_true_neg_log_likelihood= np.abs(neg_log_likelihood(result_opt.x,X,y)-neg_log_likelihood(result_lev.x,X,y))/neg_log_likelihood(result_opt.x,X,y)\n",
    "        rel_l2s_true_neg_log_likelihood= np.abs(neg_log_likelihood(result_opt.x,X,y)-neg_log_likelihood(result_l2s.x,X,y))/neg_log_likelihood(result_opt.x,X,y)                    \n",
    "        rel_unif_true_neg_log_likelihood= np.abs(neg_log_likelihood(result_opt.x,X,y)-neg_log_likelihood(result_unif.x,X,y))/neg_log_likelihood(result_opt.x,X,y)\n",
    "\n",
    "        \n",
    "        # Append to lists\n",
    "        \n",
    "        rel_est_probs_lev_list.append(rel_est_probs_lev)\n",
    "        rel_est_probs_l2s_list.append(rel_est_probs_l2s)\n",
    "        rel_est_probs_unif_list.append(rel_est_probs_unif)\n",
    "        \n",
    "        lev_misclassification_rate_list.append(lev_misclassification_rate)\n",
    "        l2s_misclassification_rate_list.append(l2s_misclassification_rate)\n",
    "        unif_misclassification_rate_list.append(unif_misclassification_rate)\n",
    "        \n",
    "        rel_lev_neg_log_likelihood_list.append(rel_lev_neg_log_likelihood)\n",
    "        rel_l2s_neg_log_likelihood_list.append(rel_l2s_neg_log_likelihood)\n",
    "        rel_unif_neg_log_likelihood_list.append(rel_unif_neg_log_likelihood)\n",
    "        \n",
    "        rel_lev_true_neg_log_likelihood_list.append(rel_lev_true_neg_log_likelihood)\n",
    "        rel_l2s_true_neg_log_likelihood_list.append(rel_l2s_true_neg_log_likelihood)\n",
    "        rel_unif_true_neg_log_likelihood_list.append(rel_unif_true_neg_log_likelihood)      \n",
    "\n",
    "\n",
    "    # Calculate mean relative errors for each s value\n",
    "    \n",
    "    mean_rel_est_probs_lev = np.mean(rel_est_probs_lev_list)\n",
    "    mean_rel_est_probs_l2s = np.mean(rel_est_probs_l2s_list)\n",
    "    mean_rel_est_probs_unif = np.mean(rel_est_probs_unif_list)\n",
    "                              \n",
    "    mean_lev_misclassification_rate = np.mean(lev_misclassification_rate_list)\n",
    "    mean_l2s_misclassification_rate = np.mean(l2s_misclassification_rate_list)                          \n",
    "    mean_unif_misclassification_rate = np.mean(unif_misclassification_rate_list)\n",
    "    \n",
    "    mean_rel_lev_neg_log_likelihood = np.mean(rel_lev_neg_log_likelihood_list)\n",
    "    mean_rel_l2s_neg_log_likelihood = np.mean(rel_l2s_neg_log_likelihood_list)\n",
    "    mean_rel_unif_neg_log_likelihood = np.mean(rel_unif_neg_log_likelihood_list)\n",
    "    \n",
    "    mean_rel_lev_true_neg_log_likelihood = np.mean(rel_lev_true_neg_log_likelihood_list)\n",
    "    mean_rel_l2s_true_neg_log_likelihood = np.mean(rel_l2s_true_neg_log_likelihood_list)\n",
    "    mean_rel_unif_true_neg_log_likelihood = np.mean(rel_unif_true_neg_log_likelihood_list)\n",
    "    \n",
    "    # Calculate standard deviations of errors for each s value\n",
    "    \n",
    "    std_rel_est_probs_lev = np.std(rel_est_probs_lev_list)\n",
    "    std_rel_est_probs_l2s = np.std(rel_est_probs_l2s_list)\n",
    "    std_rel_est_probs_unif = np.std(rel_est_probs_unif_list)\n",
    "                              \n",
    "    std_lev_misclassification_rate = np.std(lev_misclassification_rate_list)\n",
    "    std_l2s_misclassification_rate = np.std(l2s_misclassification_rate_list)                          \n",
    "    std_unif_misclassification_rate = np.std(unif_misclassification_rate_list)\n",
    "    \n",
    "    std_rel_lev_neg_log_likelihood = np.std(rel_lev_neg_log_likelihood_list)\n",
    "    std_rel_l2s_neg_log_likelihood = np.std(rel_l2s_neg_log_likelihood_list)\n",
    "    std_rel_unif_neg_log_likelihood = np.std(rel_unif_neg_log_likelihood_list)\n",
    "    \n",
    "    std_rel_lev_true_neg_log_likelihood = np.std(rel_lev_true_neg_log_likelihood_list)\n",
    "    std_rel_l2s_true_neg_log_likelihood = np.std(rel_l2s_true_neg_log_likelihood_list)\n",
    "    std_rel_unif_true_neg_log_likelihood = np.std(rel_unif_true_neg_log_likelihood_list)\n",
    "    \n",
    "    \n",
    "    # Append mean values to the lists\n",
    "    \n",
    "    mean_rel_est_probs_lev_list.append(mean_rel_est_probs_lev)\n",
    "    mean_rel_est_probs_l2s_list.append(mean_rel_est_probs_l2s)\n",
    "    mean_rel_est_probs_unif_list.append(mean_rel_est_probs_unif)\n",
    "                              \n",
    "    mean_lev_misclassification_rate_list.append(mean_lev_misclassification_rate)\n",
    "    mean_l2s_misclassification_rate_list.append(mean_l2s_misclassification_rate)\n",
    "    mean_unif_misclassification_rate_list.append(mean_unif_misclassification_rate)\n",
    "    \n",
    "    mean_rel_lev_neg_log_likelihood_list.append(mean_rel_lev_neg_log_likelihood)\n",
    "    mean_rel_l2s_neg_log_likelihood_list.append(mean_rel_l2s_neg_log_likelihood)\n",
    "    mean_rel_unif_neg_log_likelihood_list.append(mean_rel_unif_neg_log_likelihood)\n",
    "    \n",
    "    mean_rel_lev_true_neg_log_likelihood_list.append(mean_rel_lev_true_neg_log_likelihood)\n",
    "    mean_rel_l2s_true_neg_log_likelihood_list.append(mean_rel_l2s_true_neg_log_likelihood)\n",
    "    mean_rel_unif_true_neg_log_likelihood_list.append(mean_rel_unif_true_neg_log_likelihood)\n",
    "    \n",
    "    # Append standard deviation values to the lists\n",
    "    \n",
    "    std_rel_est_probs_lev_list.append(std_rel_est_probs_lev)\n",
    "    std_rel_est_probs_l2s_list.append(std_rel_est_probs_l2s)\n",
    "    std_rel_est_probs_unif_list.append(std_rel_est_probs_unif)\n",
    "                              \n",
    "    std_lev_misclassification_rate_list.append(std_lev_misclassification_rate)\n",
    "    std_l2s_misclassification_rate_list.append(std_l2s_misclassification_rate)\n",
    "    std_unif_misclassification_rate_list.append(std_unif_misclassification_rate)\n",
    "    \n",
    "    std_rel_lev_neg_log_likelihood_list.append(std_rel_lev_neg_log_likelihood)\n",
    "    std_rel_l2s_neg_log_likelihood_list.append(std_rel_l2s_neg_log_likelihood)\n",
    "    std_rel_unif_neg_log_likelihood_list.append(std_rel_unif_neg_log_likelihood)\n",
    "    \n",
    "    std_rel_lev_true_neg_log_likelihood_list.append(std_rel_lev_true_neg_log_likelihood)\n",
    "    std_rel_l2s_true_neg_log_likelihood_list.append(std_rel_l2s_true_neg_log_likelihood)\n",
    "    std_rel_unif_true_neg_log_likelihood_list.append(std_rel_unif_true_neg_log_likelihood)\n",
    "                              \n",
    "\n",
    "    # Print the mean relative errors for each s\n",
    "                             \n",
    "    print(f\"Mean Relative Error Estimated Probs Leverage for s = {s}: {mean_rel_est_probs_lev}\")\n",
    "    print(f\"Mean Relative Error Estimated Probs L2S for s = {s}: {mean_rel_est_probs_l2s}\")\n",
    "    print(f\"Mean Relative Error Estimated Probs Uniform for s = {s}: {mean_rel_est_probs_unif}\")\n",
    "    print(\"-----------------------------------------------------------------------\")                          \n",
    "    print(f\"Mean Leverage Misclassification Rate for s = {s}: {mean_lev_misclassification_rate}\")\n",
    "    print(f\"Mean L2S Misclassification Rate for s = {s}: {mean_l2s_misclassification_rate}\")\n",
    "    print(f\"Mean Uniform Misclassification Rate for s = {s}: {mean_unif_misclassification_rate}\")\n",
    "    print(\"-----------------------------------------------------------------------\") \n",
    "    print(f\"Mean Relative Error Leverage Negative Log Likelihood for s = {s}: {mean_rel_lev_neg_log_likelihood}\")\n",
    "    print(f\"Mean Relative Error L2S Negative Log Likelihood for s = {s}: {mean_rel_l2s_neg_log_likelihood}\")\n",
    "    print(f\"Mean Relative Error Uniform Negative Log Likelihood for s = {s}: {mean_rel_unif_neg_log_likelihood}\")\n",
    "    print(\"-----------------------------------------------------------------------\") \n",
    "    print(f\"Mean Relative Error Leverage True Negative Log Likelihood for s = {s}: {mean_rel_lev_true_neg_log_likelihood}\")\n",
    "    print(f\"Mean Relative Error L2S Negative True Log Likelihood for s = {s}: {mean_rel_l2s_true_neg_log_likelihood}\")\n",
    "    print(f\"Mean Relative Error Uniform True Negative Log Likelihood for s = {s}: {mean_rel_unif_true_neg_log_likelihood}\")\n",
    "    print(\"=\" * 60)\n",
    "    \n",
    "\n",
    "\n",
    "# Convert lists to arrays    \n",
    "\n",
    "# mean\n",
    "mean_rel_est_probs_lev_array = np.array(mean_rel_est_probs_lev_list)\n",
    "mean_rel_est_probs_l2s_array = np.array(mean_rel_est_probs_l2s_list)\n",
    "mean_rel_est_probs_unif_array = np.array(mean_rel_est_probs_unif_list)\n",
    "                              \n",
    "mean_lev_misclassification_rate_array = np.array(mean_lev_misclassification_rate_list)\n",
    "mean_l2s_misclassification_rate_array = np.array(mean_l2s_misclassification_rate_list)\n",
    "mean_unif_misclassification_rate_array = np.array(mean_unif_misclassification_rate_list)\n",
    "\n",
    "mean_rel_lev_neg_log_likelihood_array = np.array(mean_rel_lev_neg_log_likelihood_list)\n",
    "mean_rel_l2s_neg_log_likelihood_array = np.array(mean_rel_l2s_neg_log_likelihood_list)\n",
    "mean_rel_unif_neg_log_likelihood_array = np.array(mean_rel_unif_neg_log_likelihood_list)\n",
    "\n",
    "mean_rel_lev_true_neg_log_likelihood_array = np.array(mean_rel_lev_true_neg_log_likelihood_list)\n",
    "mean_rel_l2s_true_neg_log_likelihood_array = np.array(mean_rel_l2s_true_neg_log_likelihood_list)\n",
    "mean_rel_unif_true_neg_log_likelihood_array = np.array(mean_rel_unif_true_neg_log_likelihood_list)\n",
    "\n",
    "# stdev\n",
    "std_rel_est_probs_lev_array = np.array(std_rel_est_probs_lev_list)\n",
    "std_rel_est_probs_l2s_array = np.array(std_rel_est_probs_l2s_list)\n",
    "std_rel_est_probs_unif_array = np.array(std_rel_est_probs_unif_list)\n",
    "                              \n",
    "std_lev_misclassification_rate_array = np.array(std_lev_misclassification_rate_list)\n",
    "std_l2s_misclassification_rate_array = np.array(std_l2s_misclassification_rate_list)\n",
    "std_unif_misclassification_rate_array = np.array(std_unif_misclassification_rate_list)\n",
    "\n",
    "std_rel_lev_neg_log_likelihood_array = np.array(std_rel_lev_neg_log_likelihood_list)\n",
    "std_rel_l2s_neg_log_likelihood_array = np.array(std_rel_l2s_neg_log_likelihood_list)\n",
    "std_rel_unif_neg_log_likelihood_array = np.array(std_rel_unif_neg_log_likelihood_list)\n",
    "\n",
    "std_rel_lev_true_neg_log_likelihood_array = np.array(std_rel_lev_true_neg_log_likelihood_list)\n",
    "std_rel_l2s_true_neg_log_likelihood_array = np.array(std_rel_l2s_true_neg_log_likelihood_list)\n",
    "std_rel_unif_true_neg_log_likelihood_array = np.array(std_rel_unif_true_neg_log_likelihood_list)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9623a611",
   "metadata": {},
   "source": [
    "# **Plot relative error estimated probabilities for the various sampling**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "3db15b98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Smooth the curves using a rolling average with window size\n",
    "window_size =1\n",
    "\n",
    "smoothed_lev_prob = np.convolve(mean_rel_est_probs_lev_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_l2s_prob = np.convolve(mean_rel_est_probs_l2s_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_unif_prob = np.convolve(mean_rel_est_probs_unif_array, np.ones(window_size)/window_size, mode='valid')\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.plot(s_values[window_size-1:], smoothed_unif_prob, label=\"Uniform Sampling\", color='b')\n",
    "plt.plot(s_values[window_size-1:], smoothed_l2s_prob, label=\"L2S Sampling\", color='g')\n",
    "plt.plot(s_values[window_size-1:], smoothed_lev_prob, label=\"Leverage Score(this work)\", color='r')\n",
    "\n",
    "plt.xlabel(\"Sample Size (s)\", fontsize=18)\n",
    "plt.ylabel(\"Relative error est. probs.\",fontsize=18)\n",
    "plt.legend(fontsize=18)\n",
    "plt.grid(True, which='both')\n",
    "plt.yscale('log')  # Set y-axis to log scale\n",
    "# plt.xscale('log')\n",
    "\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.savefig('plots\\\\prob_default.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f21be89f",
   "metadata": {},
   "source": [
    "# **Plot misclassification rates for the various sampling methods**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "90f3b844",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Smooth the curves using a rolling average with window size\n",
    "window_size =1\n",
    "\n",
    "smoothed_lev_mis = np.convolve(mean_lev_misclassification_rate_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_l2s_mis = np.convolve(mean_l2s_misclassification_rate_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_unif_mis = np.convolve(mean_unif_misclassification_rate_array, np.ones(window_size)/window_size, mode='valid')\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "optimal_misclassification_rate = np.full(len(s_values[window_size-1:]), opt_misclassification_rate)\n",
    "\n",
    "\n",
    "\n",
    "plt.plot(s_values[window_size-1:], smoothed_unif_mis, label=\"Uniform Sampling\", color='b')\n",
    "plt.plot(s_values[window_size-1:], smoothed_l2s_mis, label=\"L2S Sampling\", color='g')\n",
    "plt.plot(s_values[window_size-1:], smoothed_lev_mis, label=\"Leverage Score (this work)\", color='r')\n",
    "\n",
    "plt.plot(s_values[window_size-1:], optimal_misclassification_rate, label=\"Full Data\", color='gray', linestyle='-',linewidth=2)\n",
    "\n",
    "\n",
    "plt.xlabel(\"Sample Size (s)\", fontsize=18)\n",
    "plt.ylabel(\"Misclassification rate\",fontsize=18)\n",
    "plt.legend(fontsize=18, loc='upper right', bbox_to_anchor=(1, 1))\n",
    "plt.grid(True, which='both')\n",
    "plt.yscale('log')  # Set y-axis to log scale\n",
    "# plt.xscale('log')\n",
    "\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.savefig('plots\\\\mis_default.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56ca4916",
   "metadata": {},
   "source": [
    "# **Plot relative error subsampled NLL for the various sampling methods**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "2ce1423e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Smooth the curves using a rolling average with window size 5\n",
    "window_size =1\n",
    "\n",
    "smoothed_lev_NLL = np.convolve(mean_rel_lev_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_l2s_NLL = np.convolve(mean_rel_l2s_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_unif_NLL = np.convolve(mean_rel_unif_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "\n",
    "# Plot the mean values for misclassification rates with smoothed curves\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "\n",
    "plt.plot(s_values[window_size-1:], smoothed_unif_NLL, label=\"Uniform Sampling\", color='b')\n",
    "plt.plot(s_values[window_size-1:], smoothed_l2s_NLL, label=\"L2S Sampling\", color='g')\n",
    "plt.plot(s_values[window_size-1:], smoothed_lev_NLL, label=\"Leverage Score(this work)\", color='r')\n",
    "\n",
    "plt.xlabel(\"Sample Size (s)\", fontsize=18)\n",
    "plt.ylabel(\"Relative error subsampled NLL.\",fontsize=18)\n",
    "plt.legend(fontsize=18)\n",
    "plt.grid(True, which='both')\n",
    "plt.legend(fontsize=18, loc='upper right', bbox_to_anchor=(1, 0.8))\n",
    "plt.yscale('log')  # Set y-axis to log scale\n",
    "# plt.xscale('log')\n",
    "\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.savefig('plots\\\\subsampled_NLL_default.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce00f0e8",
   "metadata": {},
   "source": [
    "# **Plot relative error true NLL for the various sampling methods**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3bb9dbf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Smooth the curves using a rolling average with window size 5\n",
    "window_size =1\n",
    "\n",
    "smoothed_lev_true_NLL = np.convolve(mean_rel_lev_true_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_l2s_true_NLL = np.convolve(mean_rel_l2s_true_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_unif_true_NLL = np.convolve(mean_rel_unif_true_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "\n",
    "# Plot the mean values for misclassification rates with smoothed curves\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "\n",
    "plt.plot(s_values[window_size-1:], smoothed_unif_true_NLL, label=\"Uniform Sampling\", color='b')\n",
    "plt.plot(s_values[window_size-1:], smoothed_l2s_true_NLL, label=\"L2S Sampling\", color='g')\n",
    "plt.plot(s_values[window_size-1:], smoothed_lev_true_NLL, label=\"Leverage Score(this work)\", color='r')\n",
    "\n",
    "plt.xlabel(\"Sample Size (s)\", fontsize=18)\n",
    "plt.ylabel(\"Relative error full-data NLL.\",fontsize=18)\n",
    "plt.legend(fontsize=18)\n",
    "plt.grid(True, which='both')\n",
    "plt.legend(fontsize=18, loc='upper right', bbox_to_anchor=(1, 1))\n",
    "plt.yscale('log')  # Set y-axis to log scale\n",
    "# plt.xscale('log')\n",
    "\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.savefig('plots\\\\fulldata_NLL_default.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fe30efe",
   "metadata": {},
   "source": [
    "# **Plot the standard deviations**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "b93bc78f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Smooth the curves using a rolling average with window size\n",
    "window_size =1\n",
    "\n",
    "smoothed_std_lev_prob = np.convolve(std_rel_est_probs_lev_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_std_l2s_prob = np.convolve(std_rel_est_probs_l2s_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_std_unif_prob = np.convolve(std_rel_est_probs_unif_array, np.ones(window_size)/window_size, mode='valid')\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_unif_prob, label=\"Uniform Sampling\", color='b')\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_l2s_prob, label=\"L2S Sampling\", color='g')\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_lev_prob, label=\"Leverage Score(this work)\", color='r')\n",
    "\n",
    "plt.xlabel(\"Sample Size (s)\", fontsize=18)\n",
    "plt.ylabel(\"Stdev. relative error est. probs.\",fontsize=18)\n",
    "plt.legend(fontsize=18)\n",
    "plt.grid(True, which='both')\n",
    "plt.yscale('log')  # Set y-axis to log scale\n",
    "# plt.xscale('log')\n",
    "\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.savefig('plots\\\\stdev_prob_default.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "d7402602",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Smooth the curves using a rolling average with window size\n",
    "window_size =1\n",
    "\n",
    "smoothed_std_lev_mis = np.convolve(std_lev_misclassification_rate_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_std_l2s_mis = np.convolve(std_l2s_misclassification_rate_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_std_unif_mis = np.convolve(std_unif_misclassification_rate_array, np.ones(window_size)/window_size, mode='valid')\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "\n",
    "\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_unif_mis, label=\"Uniform Sampling\", color='b')\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_l2s_mis, label=\"L2S Sampling\", color='g')\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_lev_mis, label=\"Leverage Score (this work)\", color='r')\n",
    "\n",
    "\n",
    "plt.xlabel(\"Sample Size (s)\", fontsize=18)\n",
    "plt.ylabel(\"Stdev. misclassification rate\",fontsize=18)\n",
    "plt.legend(fontsize=18, loc='upper right', bbox_to_anchor=(1, 1))\n",
    "plt.grid(True, which='both')\n",
    "plt.yscale('log')  # Set y-axis to log scale\n",
    "# plt.xscale('log')\n",
    "\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.savefig('plots\\\\stdev_mis_default.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "52691b26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Smooth the curves using a rolling average with window size 5\n",
    "window_size =1\n",
    "\n",
    "smoothed_std_lev_NLL = np.convolve(std_rel_lev_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_std_l2s_NLL = np.convolve(std_rel_l2s_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_std_unif_NLL = np.convolve(std_rel_unif_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "\n",
    "# Plot the mean values for misclassification rates with smoothed curves\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_unif_NLL, label=\"Uniform Sampling\", color='b')\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_l2s_NLL, label=\"L2S Sampling\", color='g')\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_lev_NLL, label=\"Leverage Score(this work)\", color='r')\n",
    "\n",
    "plt.xlabel(\"Sample Size (s)\", fontsize=18)\n",
    "plt.ylabel(\"Stdev. relative error subsampled NLL\",fontsize=18)\n",
    "plt.legend(fontsize=18)\n",
    "plt.grid(True, which='both')\n",
    "plt.legend(fontsize=18, loc='upper right', bbox_to_anchor=(1, 1))\n",
    "plt.yscale('log')  # Set y-axis to log scale\n",
    "# plt.xscale('log')\n",
    "\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.savefig('plots\\\\stdev_subsampled_NLL_default.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b36d09f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kJ2QSxQqtYUPzT0mzEEIIIYQQnqtY58k8ceIEb7zxBj/++COWQWsfeugh3n33XW655ZbibEqUQVJkCiGEEEIIIYqlyPznn3+YNm0a33zzDUajEVVV6dq1KzNmzKBt27bF0YQoB6TIFEIIIYQQQhSpyExNTWXGjBl88sknZGVloaoqzZs357333qNv377FFaMoY9L16aw/vZ5L6Zd4uvXT1uWWIvOffyA9HQID3RSgEEIIIYQQwm1cuiZTr9fzwQcfUL9+fWbOnElmZiaRkZEsWrSIv/76SwrMCi4lO4UHv3+QMavHYDAarMtDQyEiwnxfBv8RQgghhBDCMxWqyFRVlfnz59OwYUNee+01EhMTiYiI4OOPP+bo0aMMGTKkpOIUZUj1oOr4af0wqkbiU+Jt1kmXWSGEEEIIITyb00XmL7/8QtOmTXniiSdISEggICCAKVOmcOrUKV544QV0Ol1JxinKEI2iISo8CoAT12yrSSkyhRBCCCGE8GxOX5P5wAMPoCgKAPfeey9vvfUWVapUITExkcTERKcbrFOnTuGjFGVOVHgUsZdjOZlo2y82ylx7SndZIYQQQgghPJRLA//8+uuv/Prrr4XeT1EUcnNzXWlS5GEwGDAYDDffsJjayvvTol5oPQCOXz1us65ePQXQcvy4CYPBWCoxiqJzlGdR8UiuPYPk2XNIrj2D5NlzFCbXZfn1oKiWCS1vQqNxaYwg28YUBaNRCo/Cio6OJjo6GqPRyPHjx1myZAn+/v5ujWndtXV8lvAZdwTdweQGk63LT54MYdy4roSGZjN//m9ujFAIIYQQQoiKKzMzkyFDhpCSkkJwcLC7w7HhdJG5ZcuWYmmwS5cuxXIcT5SamkpISAhXr14ttReSwWAgJiaGXr162Vx3u/nMZnov6U1UeBR/P/N3nhghIsK83dWrBsrY61044CjPouKRXHsGybPnkFx7Bsmz5yhMrlNTU4mIiCiTRabT3WWlOCw7dDpdqf+DubHNW6vcCsCZ5DMoXgpajfmlVKkSVKkCly9DfLyOO+4o1TBFEbnjtSXcQ3LtGSTPnkNy7Rkkz57DmVyX5ddC0fvACo9UM7gmvlpfck25xCfLNCZCCCGEEEIIMykyhUs0ioYGYQ0A8o0wK0WmEEIIIYQQnkuKTOEyy1yZjqYxkSJTCCGEEEIIzyNFpnBZw3DzKcsTibbVpOVMpsyVKYQQQgghhOeRIlO4zNGZTOkuK4QQQgghhOeSIlO47GbdZa9cgZSU0o5KCCGEEEII4U5SZAqXNaxkPmV5Ouk0RpPRujwoCKpVM9+Xs5lCCCGEEEJ4FikyhctqBdfCx8sHg8nA2ZSzNuuky6wQQgghhBCeSYpMUXhXrsBbb6F5+hnqh9UH5LpMIYQQQgghhJkUmcI106fD11/TxD8SkCJTCCGEEEIIYSZFpii8ypWhRg1QVTolhwD5pzGRuTKFEEIIIYTwTEUuMg8cOMBTTz3FbbfdRnBwMF5eXg5vWq22OGIWZUHz5gC0uGj+1dGZTJkrUwghhBBCCM9SpKrv008/ZezYsRiNRlRVLa6YRHnQvDmsWUP9hDRo5Hgak2vXICkJwsLcEKMQQgghhBCi1Ll8JnP37t289NJLGI1GnnvuOVavXg1AeHg469evZ9GiRYwcORJvb28iIiJYsmQJGzduLLbAhZu1aAFAxMkLAJxKOmUzjUlAgLlHLUiXWSGEEEIIITyJy0XmJ598gqqqvPTSS8ydO5e+ffsC4O3tTffu3RkyZAjffPMNu3btQlEU3nrrLe64445iC1y42fXusj6Hj+GDFr1Rz7nUczabyOA/QgghhBBCeB6Xi8zt27ejKAovvfSSzfIbu822aNGCuXPncurUKWbNmuVqc6KsadgQ/PxQMjPpaqwNyAizQgghhBBCiCIUmZcuXcLHx4e6dev+ezCNhuzs7HzbPvjgg+h0On788UdXmxNljZcXNG0KQNcU8wWXN44wK0WmEEIIIYQQnsflItPf3x+dTmezLCgoiNTUVHJycmyW63Q6/P39iY+Pd7U5URZd7zLb6pIXIGcyhRBCCCGEEEUoMmvWrEl6ejqpqanWZQ0aNADgjz/+sNn2woULpKSkyAi0Fc31IrPhuUzA8QizJ06ApF4IIYQQQgjP4PIUJs2aNePw4cMcO3aMNm3aANC1a1f27dvH22+/zS+//IKvry96vZ4XX3wRgKbXu1eKojEYDBgMhlJrK+/PvJQmTdACVU9dgl5w/Npxm+3q1AHQkZwMly4ZqFSpVEIWLigoz6JikVx7Bsmz55BcewbJs+coTK7L8utBUV08vbhs2TKGDBnC2LFjmT17NgBxcXHcdttt6PV6wsLCaNSoEcePHycxMRGAhQsX8thjjxVf9B4iOjqa6OhojEYjx48fZ8mSJfj7+7s7LLRZWdz96KMAVHoN0gJ0fN/sezTKvyfIn3iiN9eu+TFz5lYaNUpyV6hCCCGEEEJUKJmZmQwZMoSUlBSCg4PdHY4Nl4vM1NRU5syZQ7Vq1Xj66aety3/66SdGjRpl041Wo9Ewfvx43nvvvaJH7MFSU1MJCQnh6tWrpfZCMhgMxMTE0KtXr3zX4AJob70V5fRpeo3UsD7SxKnnT1E7uLZ1fe/eXmzerOGbb3IZOlT6zJZVN8uzqDgk155B8uw5JNeeQfLsOQqT69TUVCIiIspkkelyd9ng4GCmTJmSb/mDDz5Ily5dWL16NQkJCYSEhNC7d2+iLBfoiSLT6XSl/g/GYZstWsDp03RLCWc9V4lPjad+pfrW1bfcAps3Q1ycFvmfWPa547Ul3ENy7Rkkz55Dcu0ZJM+ew5lcl+XXgstFZkHCw8MZOnRoSRxalDXNm8OPP9L2qg9gnsakW71u1tUywqwQQgghhBCexeXRZRcuXMiKFSuc3v7HH39k4cKFrjYnyqrrI8zeet48bY1MYyKEEEIIIYRnc7nIHDlyJC+//LLT27/66qs8/vjjrjYnyqoWLQCofjYJXa5MYyKEEEIIIYSnc7nIBAo976XMk1kB1akDoaF45RppfNXcXTavBg1AUSA1Fa5ccVOMQgghhBBCiFJTpCKzMFJTU/H29i6t5kRpURRo1gyA5hfhVOIpTKrJutrXF2pfH2z25El7BxBCCCGEEEJUJKVSZO7cuZOkpCRq1KhRGs2J0na9y2zLSwpZuVn8k/aPzWq5LlMIIYQQQgjP4fTosgsWLGDBggU2yxITE+nevbvDfVRVJTk5mcOHD6MoCj179nQ9UlF2XR/8p901XyCLE4knqBlc07q6YUPYsEGKTCGEEEIIITyB00XmmTNn2Lx5s80yvV6fb5kjjRo1YurUqYUITZQb14vM2y/kgmoe/KdrZFfrajmTKYQQQgghhOdwusjs2rWrze/Tpk0jMDCQV1991eE+Go2G4OBgmjRpQteuXfHy8nI5UFGG3X47eHkRkm6gRppMYyKEEEIIIYQnc7rI7NKlC126dLH+bikyp0yZUiKBiXLE1xduvRUOH6bFxfwjzOYtMlXVPFaQEEIIIYQQomJyusi8UVxcnJyZFP9q3hwOH6b5RfjfDWcy69UDjQbS0+HSJahWzU0xCiGEk1RVxWAwYDKZbr5xGWQwGNBqtWRnZ2M0Gt0djihBkmvPIHmumDQaDTqdDqUCnoFxucisW7duccYhyrsWLWDJEppfgo8TT6KqqvUPxsfHPJ3mmTPms5lSZAohyiqj0cjVq1dJS0vDYDC4OxyXqapKtWrVSEhIqJAfXsS/JNeeQfJccel0OoKCgoiIiKhQJ/BcLjKFsHF98J8WFyHTkMk/6f9QI+jfKWsaNjQXmSdPwl13uSlGIYQogNFoJCEhgZycHEJCQggMDMTLy6tcfqAzmUykp6cTGBiIRlNqU2ILN5BcewbJc8WjqipGo5H09HSSk5PJysqitmVy+QqgyEXmgQMHiI6O5vfff+fcuXNkZGQ43FZRFHJzc4vapCiLrheZDRPBX28e/OfGIjMmRgb/EUKUXVevXiUnJ4c6derg5+fn7nCKxGQyodfr8fX1lQ+kFZzk2jNIniuuwMBAQkJCOHv2LFevXiU8PNzdIRWLIhWZn376KWPHjsVoNKKqanHFJMqjqlWhalU0ly7R5LK5yOxct7N1tYwwK4Qoy1RVJS0tjZCQkHJfYAohhChf/Pz8CA4OJi0tjbCwMHeHUyxc/ipk9+7dvPTSSxiNRp577jlWr14NQHh4OOvXr2fRokWMHDkSb29vIiIiWLJkCRs3biy2wEUZ1KIFAM0vyjQmQojyxWAwYDAYCAwMdHcoQgghPFBQUBAGg6HC9Pp0ucj85JNPUFWVl156iblz59K3b18AvL296d69O0OGDOGbb75h165dKIrCW2+9xR133FFsgYsyKM91mY6mMTl50jyNiRBClCWWUWQr0qALQgghyg/L+095HdX8Ri4Xmdu3b0dRFF566SWb5Td2m23RogVz587l1KlTzJo1y9XmRHlwvchsfin/mczISPDygowM+OcfN8QmhBBOKI+D/AghhCj/LO8/FeUSRJeLzEuXLuHj42MzlYlGoyE7Ozvftg8++CA6nY4ff/zR1eZEeXC9u2yzS3Dq6gmbPxJvb7C8VKTLrBBCCCGEEBWXy0Wmv78/Op3OZllQUBCpqank5OTYLNfpdPj7+xMfH+9qc6I8uOUWVB8fgvRQ5VIGlzIu2ayW6zKFEEIIIYSo+FwuMmvWrEl6ejqpqanWZQ0aNADgjz/+sNn2woULpKSkVJjTv8IBrRalSRPAfpfZvNdlCiGEEEIIISoml4vMZs2aAXDs2DHrsq5du6KqKm+//ba126xer+fFF18EoGnTpkWJVZQHMsKsEEIIIYQQHs3lIvOee+5BVVW+//5767IxY8bg4+PDhg0bqFWrFh07dqRmzZr89NNPKIrC888/XyxBlyfp6elMnTqVe+65h2rVqqEoCiNHjnR3WCUn7wiz1+yPMCtFphBCiJI2depUFEWha9euDrf59ttv6dChA8HBwSiKgqIofPTRR6UWoyjbunbtiqIoTJ06tVDrhBBFKDL79+/PlClTaGipHIB69eqxZMkSgoKCSExMZOfOnVy7dg1FUXjttdd47LHHiiXo8uTq1atMmzaNffv20bp1a3eHU/LyjjCb5Li7bAUZnVkIIcQNIiMjnf5Cdf78+dbi7syZMyUeW14ffPABjz/+OLt27SIrK4sqVapQtWpVAgICSjWOsiA+Pp6JEyfSpk0bwsLC0Ol0VK1alWbNmjFgwAA++ugjDhw44O4whRDliNbVHYODg5kyZUq+5Q8++CBdunRh9erVJCQkEBISQu/evYmKiipSoOVV9erVOXfuHDVr1iQ7Oxs/Pz93h1SyrheZdVPgUsJRm1WRkaDVQlYWXLgAtWq5IT4hhBAeISIigkaNGlGnTh2762fPng3Aiy++yOzZs/MNZugpFi9ezFNPPUVmZqZ1WXBwMJmZmcTGxhIbG8uPP/5I3bp1S/2LgLKsTp06NGrUiIiICHeHIkSZ5HKRWZDw8HCGDh1aEocud3x8fKhZs6a7wyg9ISHo69TE++x5/P82T2NimfdHqzUXmidPmrvMSpEphBCipDz//PMOL9O5cuUKFy9eBODJJ5/02ALzjz/+YPjw4ZhMJpo1a8bkyZPp27ev9WzulStX2LFjB6tWrWLPnj1ujrZsWbhwobtDEKJMK5EiU3g2rxYt4ex5Gp7L4krmFaoEVLGua9jw3yKzWzc3BimEEMJj5T1rFxgY6MZI3Oujjz7CZDJRpUoVtm7dSkhIiM36ypUrc//993P//feTlZXlpiiFEOWRy9dkukNmZiZr1qxh+vTpPPTQQ9StW9d6LYezF16npaUxdepUmjZtSmBgICEhIbRp04YPPvgAvV5fsg/AQ3i1bAXICLNCCCFcd+PAPRs2bODuu++mcuXK+Pr60rhxY6ZNm2Ydzf5m+wNs3rwZRVGIjIy0LqtXr571s0Te5Xn3GThwIDVr1sTHx4eIiAh69OjBt99+i9FodKrtlStX0rt3b6pUqYJGo7F+Zhk5cqTN9avz58+nQ4cOhISEEB4eTs+ePdm6dav1uLm5ucydO5dWrVoRHBxMSEgId999t8vXS+7fvx8wD2JzY4F5I3uX+5hMJrZv386ECRNo3749tWrVwtvbm0qVKtGlSxc+//xzDAaD3eOdOXPG5nrc+Ph4nnzySerUqYOvry8NGjTgzTffJCMjw7rPoUOHGDp0KLVr18bX15eGDRsyffp0h23kHZxHr9czY8YMmjVrRkBAAGFhYfTq1Ys1a9Y4+Ww5PvaNLNclz58/H71ez6xZs2jevDkBAQGEhITQvXt31q5dW+DxMzIymDJlCo0bN8bPz49q1aoxcOBANmzYkK8NIcoip85kdu/evVgaUxTF+sfhij179tC/f3+X94+Pj6dr167Wawr8/f3Jyclh79697N27l8WLF7NhwwbCwsLy7avX6zl48KBT7fj5+XH77be7HGe5l2eE2dhrJ7iz9p3WVTJXphBCiMKaNWsWr7/+OgAhISHo9XqOHj3K1KlT2bJlCzExMXh5ed30ON7e3lStWhWj0cjVq1cB87Wbln0rV65ss/3YsWOZM2cOYP4MExISQnJyMhs3bmTjxo0sWrSIVatWERQU5LDNV199lQ8//BBFUQgNDUWjsf/9/siRI1mwYAFarRY/Pz+SkpLYsGEDW7Zs4aeffqJXr17cd999rFu3Dm9vb3Q6HRkZGaxdu5atW7eyefNm2rRpc/Mn045z5865tN/Zs2fp1KmT9XetVou/vz+JiYls3bqVrVu3smTJEn777bcCx6TYt28fTzzxBMnJyQQHB5Obm8vp06d555132Lp1Kxs2bGDdunUMGjSIzMxM62vg5MmTvPXWWxw6dIhly5Y5PL5er6dnz55s27YNrVZLYGAgycnJrF+/nvXr1zNlypQSGSU2PT2dzp07s3v3bnQ6HT4+PqSmprJp0yY2b97M119/zeOPP55vv8uXL9OtWzf+/vtvAHQ6HQaDgfXr17NhwwY+++yzYo9ViGKnOkFRlAJvGo1G1Wg0Dpdb1mk0Gmeac2jTpk1qWFiY2qNHD3X8+PHq0qVL1WrVqqmAOmXKlAL3zc3NVZs2baoCavXq1dWYmBhVVVXVaDSqy5YtU4OCglRA7devn9394+LiVMCp2+233273GFlZWSqgjhgxwqXHn5KSogJqSkqKS/u7Qq/Xq6tWrVL1er3zO506paqgZnuhTv5tos2qtWtVFVTVwVMk3MSlPItySXJtX1ZWlvr333+rWVlZDrcxmVQ1Pb183FJTjeq5c0lqaqqxwO1MpuJ/LuvWrev0e923335rfe+Mi4uzWTdlyhQVUENDQ1WNRqNOnDhRvXLliqqq5vfDyZMnW/edN29evmNb9u/SpUu+dXnf029s12Lu3LnWbZ566in1n3/+UVVVVdPT09U5c+aoWq1WBdRHHnnEYduBgYEqoL722mvq5cuXVVVV1ezsbPXMmTOqqqrqiBEjrI/Rz89P/eKLL9TMzExVVVX16NGjaqtWrVRAjYyMVJ9//nk1PDxcXb58uarX61WTyaTu3btXbdCggQqoHTt2vOnzfaORI0daH+Ps2bPVnJycQu2fkJCg3n///er333+vnj9/XjUajaqqqmpaWpr67bffqjVq1FAB9ZVXXsm3b94chIaGqj169FAPHz6sqqqqZmZmqp988onq5eWlAuqbb76phoSEqI888oj1uUtLS1MnTZpkPYblc11eXbp0UQE1JCRE9fHxUT///HPr3/jZs2fVhx9+2Lr/zz//7HB/e58xC1pn+RsICwtTa9asafM/9+jRo2r79u2tr4/k5OR8+/ft21cFVD8/P3XevHlqdna2ajQa1djYWHXQoEGqt7e36u/vrwLqt99+az85otyxvA+lpqY6/T7tjtrAWU4VmVOnTrV7e+ONN9SwsDBVURS1Vq1a6tChQ9UJEyaoEyZMUIcNG6bWrl1bVRRFDQ8PV9944w116tSpRQo2Nzc33zLLH/LNisyvv/7a+o9kx44d+dYvWbLEun79+vX51mdlZambNm1y6rZnzx67MXhMkWk0qtkBvqoK6rgP+9qsul5/qr6+qnr9vUiUAVJ4eA7JtX3OFJnp6eb/XxXplp5e/M9lcReZBb3HP/TQQyqg9uzZM9+6ohSZmZmZanh4uAqojz76qN22P/nkE+sx/vjjD4exjx071u7+qvpvkQmoixYtyrf+1KlTqqIo1m22bduWb5uYmBjr+oSEBIdt2XP06FHrl+yWouiBBx5Qp0+frq5Zs0ZNSkoq1PFu9Mcff6iAGhAQkO9vK28Obr/9djU7Ozvf/sOGDbNu06tXL9Vk51uRu+66SwXUJ554It86SyHo6IsIo9Godu7cWQXU2267zeH+rhaZPj4+6pEjR/Ktv3z5surr62s379u2bbPG/N1339nEmpSUpBoMBrVbt27WbaTIrDgqWpHpVHdZe1OV5Obm0rNnT7Kysvjiiy8YPXq0dRRRC1VVmTdvHi+88AI7duxg/fr1zjTnkDNdYRxZsGABAN26daNDhw751g8ePJhJkyYRFxfHwoUL6dGjh816X1/fAid0FnloNKTdWg+fP4/gd+iYzao6dUCng+xsOHfO/LsQQgjhiI+PD+PGjbO77v777+fHH390+nIWZ8XExJCYmAjgsBvlc889x3vvvcc///zD0qVL7c6FrdForN18C1KnTh2GDBmSb3n9+vVp0KABJ0+e5K677rLpmmrRpUsXfHx8yMnJ4eDBg9QqxNDtjRo1YsuWLTz99NP88ccfJCUlsWrVKlatWmWN/6677uLll1/mgQcecPq4Fq1bt6ZKlSpcvnyZ/fv30759e7vbvfLKK/j4+ORb3qdPH7777jsAJkyYkO9zpmWbbdu2FfgaqF27NqNGjcq3XKPR8Oabb9K7d2/+/vtvYmNjadq0qbMP76Yefvhhbr311nzLK1euTIcOHdi0aRMHDx60mUd+xYoVgPmaS3vzy1ti3rRpU7HFKURJcHngnzlz5rBt2zbmzJnDk08+afcPX1EURo8ezZw5c9i6dav1uobSlpmZyfbt2wHo16+f3W0URaFv374ArFu3rtRiq6iU5i0AiDhxHlVVrcu1Wqhf33xfBv8RQpQn/v6Qnl4+bqmpJs6dSyY11VTgdv7+7n5Wb+722293OAJsjRo1AKwFYXHZu3cvYC5ObrnlFrvbeHl5WcessGx/o6ioKKpUqWJ3XV6tW7e2+zkKoGrVqgAOr7f08vKiUqVKACQlJd20rRu1bNmSPXv28McffzBt2jT69u1LtWrVAPPAPlu2bOHBBx9k1KhRNu/nFnq9ns8//5zevXtTo0YNfH19rQP6KIrC5cuXgYKv+2zbtq3d5ZbHDo4fv2Wbgh67ZZAeezp37oxWaz7n4iiPrmrXrp3DdY5eu/v27bPG5Sjmjh07WmMWoqxy+RW6ePFitFqt3W+GbjRq1ChefPFFFi1a5PDbyJJ05MgRTCYTAE2aNHG4nWXdxYsXSUxMJDw8vFja//TTT0lOTiY3NxeAgwcPMn36dMD8T6Rz587F0k5ZEtS2E3yzlFvP67mWdY0I/38nK46KgmPHzEXmDSeMhRCizFIUuD59YJlnMoHRaI7XwTgz5UZBg+pYPmhb3l+Li6Uwutk815azhpbtb+RMgQnOPcaCtrH09HI0yqozWrdubXM29syZM6xcuZIZM2Zw9epV5s+fT6tWrWzmHr18+TI9e/YkNjbWuszX19dmMKUrV65gMplsRom9kaPHlreQutk2BT32gvLo4+NDpUqVuHTpksM8usqZvN4Y95UrV4B/i1B7LKMcW+Z6FaIscrnIPHXqFIGBgXa7N9zIx8eHoKAgTp065WpzRXLhwgXr/YL+0eRdd+HChWIrMmfPnk18fLz197/++ou//voLMHdFdlRk5uTkkJOTY/09NTUVMP9DKsobSWFY2ilse5pmLQHzCLNHLx2hXa1/u8g0aKABvDh2zIjBYCq2WIXrXM2zKH8k1/YZDAZUVcVkMlm/lCzPLGecLI+pNFlGEc3MzLxp23kLDx8fH5vt8541c3ScvMtv3Kag/W/cz9G+iqIU+BgcbWdZ7uXl5dT+zuTJ0TY3Ps7iynedOnV45ZVX6NOnD23btiUrK4uvv/6a5557zrrNyy+/TGxsLJUqVWLmzJn069fPehbUom7dupw7dw6j0egwX47iLii/hdnmZussCnqOHe1f0LqC8uEo945etzdub/m9ovzPEljzavnSzJn36bL8Xu5ykanVaklOTub8+fM3/abv/PnzJCUl3XQOppKSlpZmve9fQN+gvOvy7lNUlilTCuu9995j2rRp+ZavW7euwMdREmJiYgq1vSYnh/4KVMmET1ct5Fr9f7uDZGdHAs3Zvv0yq1fvKd5ARZEUNs+i/JJc29JqtVSrVo309PQKNWdycb6XOSs0NBQwT29h+XLUkdOnTwPm68y0Wq3N9pYvWXNzcx0eJzMz03r/xm0K2j89Pd3m/o3rLZ9X4uPjC3wMcXFxAISFhRU6drD90sfRdpYPnDk5OTd9PrOzs2+6TWHVqlWL9u3bs2nTJo4dO2bzhfdPP/0EwMyZMxkwYABgm4e8U8XcGNvNcgAF59fCMk+qyWTKt43luYuLi3O4f05ODteuXQPMZx7zblfQc1/QOkvRV1A+HOXecoLD0WsvLS3NJuaSyLlwD71eT1ZWFjt27ACce5/O+zdS1rhcZLZu3ZqNGzcybtw4li5dWuC2li6y9i6KF45NnDiRsWPHWn9PTU2ldu3a9O7dm+Dg4FKJwWAwEBMTQ69evdDpdIXa91LNUGqcS6ZBdrrN/Kbe3gpffglpadWKNO+pKD5FybMoXyTX9mVnZ5OQkEBgYCC+vr7uDqfIVFUlLS2NoKAgh9d1lZS2bduya9cuYmNj8fLyIqCAPsaWa+CaNWtmva7QwtJTSqvVOnzPy/uF643bFLR/3ms8AwMD862/807z/M4XLlzg4sWLdq/LNBqN1vEe2rdvb3MMZ2IHrH+DOp3O4XaWbpU+Pj52t8l75svX17dEPh9Yiu68MVy4cMFa4N155512292yZYt1mxtju1kOoOD8Wlj+XjUaTb5tLM/dzp07Hf4trF+/3lowdurUyeYYBT33Ba2zzIVaUD4c5b5Nmzbs2rWLnTt32izP+ze9d+9ea8wllXNR+rKzs/Hz8+POO+9k69atTr1Pl+UvGFwuMseOHcuGDRtYvnw5ly9f5s0336RTp07WJ8NgMPD777/zzjvvsGnTJhRFsSmYSlPePvEFVfx51xXUj760+Pj42O2OrNPpSv3DoSttpjSqS41zyfgcPmKzb+PG5p+nTytoNDqKMGiwKGbueG0J95Bc2zIajSiKgkajsX5ALM8sZ1Isj6k0DR48mE8++YTMzEw+/fRTJk6caHe77du3s23bNgAGDRqUL868BYGjx5B3eWH2v3G/G9f36dOHSpUqce3aNd5++22WLFmSr+3PP//cejnOkCFDbI7hTOx5t3MmT462ydtVsrCv340bN3LXXXcV+L/g/PnzbNiwAYA77rjDevzQ0FAURUFVVWJjY2lseXO/Ljc3l7feesthbDfLgb1t7HFmm7Nnz/Ldd98xcuRIm+Umk4kZM2YA0LhxY5o3b253/4LyU9C6gvLhKPcDBw5k7ty5nDlzhmXLlllHHc6bZ0vMN2tDlC8ajQZFUaxfYDjzPl2W38ddflX269ePyZMno6oqmzdvpmfPngQGBlKzZk1q1apFYGAgPXv2ZOPGjaiqyqRJkxyO7FrS8l48ff78eYfb5V1X0AXXwjmmZuZhwMOOJ9gsr10bvL1Br4eEBHt7CiGEKK86dOhg7Tr55ptv8sYbb5CQ5599SkoK8+bN495770VVVerXr8+YMWPcFa5dfn5+1qlLli5dyjPPPMOlS5cA8xfSc+fO5eWXXwbgkUceoVWrVm6KtGhee+016tevz4QJE/j999/JysqyrktMTOTrr7+mU6dO1m7Xr776qnV9YGAgHTt2BMwnHjZu3GgthA4dOkT//v3Zu3dvgWeyS0tISAjPPvssX331lfXMakJCAo8++qh1KpB33nnHnSFa3XXXXfTq1QuAJ598kvnz51u7X58/f56hQ4eybdu2Ur9sSojCKtJXH1OnTmXVqlXceuutqKqKwWDgn3/+4cKFC9ZBFBo3bsyPP/7I22+/XVwxF1rjxo2t3/IcOnTI4XaWddWqVSu2QX88mX8bc3ejyPhkm+VeXtCggfm+TGMihBAVz7fffsvdd9+NyWTivffeo06dOgQFBREeHk5YWBijR48mKSmJW265hdWrV5fJ7n7PP/88r7zyCgBffPEF1atXJzw8nJCQEF588UUMBgPdunXjq6++cnOkrtPpdJw7d46ZM2dy1113ERAQQGhoKAEBAVSqVIknn3ySM2fO4O3tzccff8zdd99ts/9HH31EQEAA58+fp0ePHvj7+xMcHEzTpk3ZtGkTX331FREREQ5aLz3PPfccrVu35qmnniI4OJjw8HDq1KnD8uXLAfOXIQ8++KCbo/zXwoULufXWW8nMzGTUqFEEBQVRqVIlmjRpwvLly/n000+tz2tF6N4vKqYiT7Jz3333cd999xEbG8vevXutwz9XqVKF1q1bF+uktq7y9/enY8eObNu2jbVr1zJ+/Ph826iqym+//QZA7969SzvEQikPo8sChLftBkDUFROXLp0hPPzfAaIaNPDiyBENR48a6dpVRkVzNxlx1HNIru2T0WWLV0BAAD///DNr1qxh0aJF7Nmzh0uXLpGRkUHVqlVp1qwZDzzwACNGjMDX19epUVPtKanRZS1mz57N3XffzWeffcaOHTu4du0aQUFBtGjRgscee4zhw4fbHUHWmdjzbueu0WU3bNjAhg0b2LRpE3v37uXEiRMkJiaiqioRERHccsstdO3alVGjRlG/fv18x27ZsiW7du3i7bffZtOmTaSkpBAUFETfvn159dVXadOmjbXL7I2xlebosjqdjpiYGD788EOWLl3K6dOnCQkJoXXr1rz88sv079//pnkqrdFlwfwZevfu3bz//vusWLGC+Ph4tFotvXr1YsKECXTt2tX6WTY4OLhC/M8SFW90WUW1N7NuORIZGUl8fDxTpkyxdm2xZ968eYwePRpFUdi5c2e+CXKXL1/OI488ApgvAu9RhiZwjI6OJjo6GqPRyPHjx1myZEn56Cahqtw59CEqZ6h89/YLBDf79zn95pvb+eWXKO699xRPPOH47LIQQpQGy+iytWvXxtvb293hCCGKwT333MP27dt5/fXXmTBhgrvDKTanTp2yDqYZGxtrna9VlG96vZ6EhAQuXrzo9Ny/mZmZDBkyhJSUlDLXI6TIZzJLW1JSEkaj0fq75dubzMxM6zDZYO4+kHfkshEjRvDxxx8TGxvLgAEDWLBgAT169MBkMrFy5UqefPJJwHytaVkqMAHGjBnDmDFjSE1NJSQkpNyMLguwPzKEyoeTaWBIp02ekWTPndPwyy9gNNajf/86xRmycIGMOOo5JNf2yeiyorySXDt2s5F5y5O8ef70008BuO2227jtttvcHJkoLjK67E20bduWa9eucerUqeI+NGDumhEfH59v+axZs5g1a5b19xEjRjB//nzr71qtll9++YVu3bpx5swZevbsib+/PyaTyXoReMuWLVm8eHGJxF2cysvosgDXGtaGw8loYw/Z7H/rreafJ09q0OlkVLSyQkYc9RySa1syuqworyTXN1fenpujR48ye/Zshg8fTsuWLQkKCsJkMnH8+HE+++wzFixYAMCECRPK1eMSBatoo8sWe5GZkJBgvS6zrImMjOTgwYPMnj2bH3/8kbi4OHQ6HbfffjuPPvooL7zwgnSTKmaGJo1hVSwhx87YLG/Y0PwzLg5yc0Fb7s6pCyGEEEIUv+zsbObNm8e8efMA8+i4BoPBZqq9F198kWHDhrkrRCFuqtx9tD9z5kyR9g8KCmLatGlMmzateAISBfJt3R5YTq24a2AywfVv3GrVAl9fyM6Gs2ehfn33ximEEEIIURY0aNCA2bNns379eo4dO8bly5cxGo3UrFmTO++8k6effrrMXdolxI3KXZEpys/osgDhzTqQ4wUB2SYMJ07YVJP162v5+2+FI0dyqV27XI8/Ve7JiKOeQ3Jtn4wuK8orybVjGzdutN4vT89NQEAAr7zyinUKHch/7W15ejzCORVtdFkpMsuBvKPLAqxbt67UR5eNiYlxab8sYxZKZbjjIuyY91+SO3azrgsKagtU5+ef/yY3N66YIhVF4WqeRfkjubZlGV02PT0dvV7v7nCKTVpamrtDEKVEcu0ZJM8Vl16vJysrix07dgDOvU/n7UJd1kiRWQ6U59FlAVbO8OOOi1nU16dRLc8Is1u3ati9G3x8bqd//8bFFbJwgYw46jkk1/bJ6LKivJJcewbJc8Uno8veRIcOHUhKSiruw4o8ytPosgCXo6rDH6dRDh6wOUajRuafp055odN5FUeYoohkxFHPIbm2JaPLivJKcu0ZJM8Vn4wuexM//vhjcR9SlHNZt90CnCbgiO20NpYRZk+cKP2YhBBCCCGEECVDvgoRJc77jjYAhF1MhuRk6/K805iU4euWhRBCCCGEEIUgRaYocbXqNiU+5PovBw9al9eoAX5+YDRCfLx7YhNCCCGEEEIUL6e6yz7++OPF0piiKNaJZYXrytMUJgB1g+tyoCrUTQHjvn2YOnSwrmvQQMuhQ+ZpTOrWlWlM3EWmtfAckmv7ZAoTUV5Jrj2D5Lniq2hTmCiq5VVbAMuFqE5sar+R6/sqimKdhkM4L+8UJsePH2fJkiWlPoVJUWQZszj+8aNM3gone3Tl8AsvW9fNmNGGXbtqMHp0LPfcc9p9QQohPJplCpPatWvj7e3t7nCEEEJ4GL1eT0JCAhcvXrQWmjeTmZnJkCFDSElJKbWZJ5zl1JnM4cOHy3DJblTepzABeGZVCJBCtcsXqZtnGpPff9ewaxd4e99G//63FkPEwhUyrYXnkFzbJ1OYiPJKcu0ZJM8Vn0dOYTJ//vwSDkMURnmbwgQgvXEDYB9+x07hpShwfXhmmcakbJFpLTyH5NqWTGEiyivJtWeQPFd8FW0KE3mVilLh36gJad7gpTfA8ePW5TKNiRBCCCGEEBWLFJmiVERF3MLBqtd/2b/futxSZJ45A3p9aUclhBBCiKKaOnUqiqLQtWvXQq0TQlRcUmSKUhEVHsUBS5F54IB1efXqEBAAJpN5vkwhhBDlm6WoKOx1Y9euXePbb79l6NCh3HbbbQQEBODj40OtWrV44IEH+Omnn256DIPBwDfffEP//v2pWbMmPj4+hISEcMstt9CtWzcmTpzImjVryM7Odumxpaen8/HHH9O9e3eqVq2Kt7c34eHhNG7cmD59+jBt2jQ2btwogxwKITyeTGEiSkVUeBQbq13/JU+RqSgQFWVedPLkv9doCiGE8CzVqlWzGVHR19cXnU7H+fPnOX/+PD///DP9+vXjhx9+sDvCekJCAv379+fQoUPWZd7e3nh5eXHq1ClOnDjB5s2bmTFjBps2bSr0mbWDBw9yzz33kJCQYBOjqqocO3aMo0ePsm7dOgDi4uKIjIws3BNQQUVERNCoUSPq1Knj7lCEEKXI6YF/imsKEykyPVNUeBT7rxeZpv1/2ZxCb9jQXGTKdZlCCOG5cnNzadu2LSNHjqRPnz7Ur18fgDNnzjB9+nTmzZvHmjVrePrpp/nuu+9s9jUajdx///0cOnQIf39/Jk6cyIgRI6hVqxaKopCTk8PBgwdZvXp1vn2dkZaWRv/+/Tl//jwRERG89dZbPProo1SuXBmAjIwM9u3bx6+//urS8Suy559/nueff97dYQghSplMYVIOGQyGUpt8tbgmbvf38udSZAQmrqK5dBnDuXNQ1dx/tn59DeDFsWNGDAaZYNgdiivPouyTXNtnMBisk5xXhInO3Tlxe94vpAvT9vr16+nWrVu+fevUqcOXX36Jl5cXX375JYsWLWL69OnUrl3bZt+//voLgK+++orBgwdbY1FVFZ1OR6tWrWjVqhVvvvkmer2+ULEtWbKE8+fPA/Dzzz/Tvn17mxj9/Pzo2LEjHTt25D//+U+hH3tRuDPXN8YApfe4PU1ZyLMoWSaTCVVVrT06nHmfLsvv5TKFSTkQHR1NdHS09RqPdevW2e0qVJJiYmKKfAxf70qcqHSVRtfgj6+/5krLlgBkZdUBWrJz5zVWr95Z5HaE64ojz6J8kFzb0mq1VKtWjfT0dPQVaBSytLS0Um8zJyfHer8wc7i1atWqwO0feeQRvvzySwC2bdvGPffcY123e/du6/1u3bo51W7eOG/mjz/+AKBy5crcdtttLs1Nd+LECdasWcPGjRuJj4/n4sWL6HQ6IiMj6d27N88++yyVKlWyu2+zZs1ISEggOjqaBx54gE8++YSffvqJhIQEQkJC6Ny5M2+88QZ169YFzNe3fvLJJ/zvf//j/PnzBAcH06dPH958802qVKmS7/gzZsxg5syZdOzYkV9//ZWffvqJr7/+mr///hu9Xk/Dhg0ZMmQITzzxBF5e+acbszyXubm5+Z6bG4+d13PPPcfSpUt59NFH+eyzz/j555/56quvOHz4MDk5OTRo0IDHHnuMp556yuG0HaqqsmTJEhYsWMCRI0dQFIVbbrmFoUOHMmLECMaMGWPTRnnnjr9pUTr0ej1ZWVns2LEDcO59OjMzs6TDcplTRaZwrzFjxjBmzBhSU1MJCQmhd+/eBAcHl0rbxTlx+w/GH9hf7RiNrkE7Hx9M/fsDEBysMHcupKRUpv/1ZaJ0FWeeRdkmubYvOzubhIQEAgMD8fX1dXc4RebOidt9fHys94vzvSpvAebt7W1z7Lw5S01NpWrVqhQnb29vAJKTk9FqtS590Ttw4EDi4+MB82VEISEhpKSkEBsbS2xsLMuWLSMmJoZGdgYnsBRYer2efv36cfDgQXx9fVEUhYsXL7J8+XK2bdvG77//jslkonfv3sTFxeHv74/JZOLy5ct899137Nq1iz179uTLiyVnWq2Wd999l1mzZqEoCqGhoWRnZ3PgwAEOHDjAhg0bWLVqlU2Ob9y/oGPfuM7yP0in0zFp0iQ+++wzNBoNwcHBZGVlcejQISZOnMjff/9t94SH0Whk6NChLF++3Pq8hoaG8tdff/Hnn3+ye/dua+50Ol2pfXYqCe78mxalIzs7Gz8/P+688062bt3q1Pu0K194lRYpMsshd0yiXhxt3lLpFg5UhUcOg9ehQ3hdP17jxub1Z88qmEw6bnjvEqXIHa8t4R6Sa1tGo9E6yXlBZ0wyDWX3W+O8TCYTGYYMvAxeBU7c7q/zL/YPrHmPV5yTxm/dutV6v3nz5jbHbteunfX+c889x8KFC6lZs2axtd2uXTv++9//YjAYePLJJ4mOjiY8PLxQx2jfvj3jxo2jX79+1K5dG29vb/R6Pdu2beONN95gz549DB06lD///NPhMaZNm0ZoaCjr1q2jR48eqKrK+vXreeyxx/jnn3+YOHEiZ86cISQkhJ07d9K+fXsMBgM//fQTo0aN4sSJE8yePZvp06fbHNeSs/3797Nlyxaef/55Jk+eTOXKlUlNTeWTTz5h8uTJrFu3jkmTJvHhhx/a3R/y59yZdf/3f/9HRkYGH374IU888QTBwcFcu3aNCRMm8PXXX/Pdd98xcuRIunfvbrP/+++/by0wx44dyxtvvEGlSpVITU0lOjqaSZMmERoaam2rOF+Ppc3SRba8Pw7hmEajQVEUtFpzeebM+3RZfh+XIlOUmqjwKBbZGWG2alUIDIT0dDh9+t+iUwghypJMQyaB7wW6O4xilT4xnQDvAHeHcVPJycm89957ANx11135zvZ16dKFXr16ERMTw8aNG6lbty5t27alXbt2tGrVinbt2tHQMjGzCwYPHszs2bM5dOgQy5Yt48cff6Rjx460bduWVq1a0b59e5trRO1ZtmxZvmXe3t706NGDDRs2EBUVxb59+/j999/p1KmT3WPk5OQQExNDVFSUdVmvXr2YOnUqL7zwAsuXL6dq1aocPnzYeuZXp9MxaNAgDh06xH/+8x+WLVuWr8i0SElJYdiwYcydO9e6LDg4mDfffJOcnBymT5/O3LlzGTduHDVq1Ljp8+aspKQkvv32W0aOHGldVqlSJb766ivrWcmlS5faFJmZmZnW18QTTzzBBx98YBPzxIkTycnJYdq0acUWpxDCeS4XmTd+m+QMRVHYsGGDq02Kcq5hpYbWEWY5ehSys8HXF0UxjzD711/mEWalyBRCCGFhMpkYNmwY//zzDz4+PjYFUF4//fQTr732Gl999RUGg4GdO3eyc+e/1/nXrVuXUaNG8corrxS626SPjw8bN260FnJ6vZ5NmzaxadMm6zaNGzfmqaee4tlnn83XnfRmAgMD6dKlC8uXLy+wyBwwYIBNgWmR9zPZU089Zffazj59+vCf//yHU6dOkZGRQUCA/S8XJk+ebHf5+PHj+eCDD8jKymLlypW88MILzjw0p9SuXZvhw4fbXXfffffx559/cvDgQZvlv/32m7Wr4KRJk+zu++qrrzJr1qwyfd2aEBWVy0Xm5s2bndrO0hXCMoWJ8FwNwhpwIQiu+kFElhEOH4ZWrYB/i8yTJ90cpBBCOOCv8yd9Yrq7w3CKyWQiNS2V4KDgm3aXLeteeukl64Axn332Gc2bN7e7XUBAANHR0UyZMoWff/6Zbdu2sXfvXo4fP47RaCQ+Pp6pU6eyYMECYmJiaNCgQaHiqFy5MsuWLWPmzJn8/PPPbN++nT///JPTp0+jqipHjhzhlVdeYeHChcTExNgt9CxTnPzxxx9cunTJbvFz7tw5hzG0bdvW7vK8g/m0adPG7jZ5r1NNTk62W2TWrl3bbhEL5rODrVq14vfff2fv3r0OY3RFmzZtHL5OLWdMExMTbZbv27cPMI8+XK9ePbv7BgUF0apVK7Zt21aM0QohnOFykTllypQC16ekpLB792527txJpUqVePbZZ+2OSCY8R5hfGJX8K3Gg2jV6xGHuMpunyASZK1MIUXYpilIuupaCucg06owEeAeU6+u3xo0bx6effgrAnDlzePzxx2+6T5UqVXjyySd58sknAUhPT2fjxo3MmjWL33//nbi4OAYPHmwdMbaw6taty4svvsiLL74ImLt6rlmzhvfee49Dhw7x119/8fTTT/PDDz9Y9zGZTAwdOpSlS5dal2m1WsLCwqwD06SkpJCdnU1GRobDtoOCguwut1zD5ew2jqY9uNl1rJb1ly9fLnC7wnIUM/wb940xX7lyBeCm3XaL89pcIYTzSqzItNi4cSMPPfQQf//9t80/XOGZosKj2J+3yLxOikwhhBB5vfbaa9br7GbNmsXLL7/s0nECAwO57777uOeee+jZsyebNm1i79697N+/nxYtWhQ5zrCwMIYMGcIDDzxA69atOXLkCD/99BOJiYnWwYHmzZvH0qVL8fLyYtKkSQwbNoz69evbfAEwbNgwFi1aZDPnZGkrTz3OLM/TzWJ25/MphCcr8a83u3fvzscff2ydc0l4toaVGnLA0mNn/37rckvvHCkyhRBCjB8/nlmzZgHmEUTHjRtX5GNqNBpGjx5t/f3YsWNFPmZe/v7+DB06FDCfuTyR5w3NMujP6NGjmTZtGlFRUfnOMF+8eLFY43FFQV11Ac6fPw9gd67N0maJ4cKFCwVud7P1QoiSUSqjyz7yyCM8+eSTfP311zb/4IVrDAaDw64uJdFW3p9FVS+kHj9fH/xHPXCAXL0eFIXISAAdCQkqaWm5VIBp6sqV4s6zKLsk1/YZDAZUVcVkMlmnCijPLGdvLI/JHW0DLrU9fvx46xQZM2fO5NVXXy22x5B3fkudTlfsz03e6xzzHj8hIQEwT71ir8309HR2794NFJwze6/PG8/UOXoN51124zaWYyQkJHDixAm716umpaVZp1dp1aqV3f1vbMfZdTd7zPbuW85Cx8fHc/r0aSLNHyRspKenW2N2x99CcXLn37QoHSaTCVVVyc3NBZx7ny7L7+WlUmT6+voSEBDAkSNHSqO5Cic6Opro6GiMRiMA69atc2ki6KKIiYkpluOkJ6ZzJAIMXgq6lBQ2LVhAVpUqqCr4+/cnM1PH/PnbqFMnrVjaE4VTXHkWZZ/k2pZWq6VatWqkp6ej1+vdHU6xSUsr/f+lOTk51vuFnSj8rbfesl6D+Z///IennnrKqWP8/fffhIaG3vT6vG+//dZ6Pyoqyun4/vzzT+rXr09YWJjDbXJzc/nuu+8Ac7FZvXp16/EDA81T3+zdu5dHH300375Tpkyx5spgMOSLy1JUZGdn3zTmzMxMu9ukp6fb3M+7Td6cTZkyhc8++yzf/jNmzCArKwutVkvPnj3t7p+bm5uv7YLW5f3Sy9Hjys7OBq4PZpVnm/bt2xMUFERaWhpvv/02H330Ub59844sW1Ab5Yk7/qZF6dDr9WRlZbFjxw7AuffpsjxycqkUmefPnyclJcX6T1YUzpgxYxgzZgypqamEhITQu3fvQg+/7iqDwUBMTAy9evUqlglfK1+ozJyzczhe1YvbL+TSPTwctX9/AG691Yt9+6B69c707y/XUJSm4s6zKLsk1/ZlZ2eTkJBAYGAgvhWgK4WqqqSlpREUFFTq19nlnb7jZgW7VqslNDQUgAkTJlgLzA8++KBQ12D++eefjBs3jvvvv58BAwbQqVMnqlevDphzu3fvXmbNmmUdpXbAgAE0adLE6eOvXr2aL7/8kocffpgHH3yQDh06WEePzczMZMuWLcyYMcN61uyZZ56xGc21f//+/PXXXyxcuJA2bdowcuRIvL29uXjxIu+//z6ffPIJlSpV4tq1a+h0unzv8Zautb6+vvnWWXJt4e/vb/czQt7PYIGBgTbbWHIWEhLC0qVLiYiI4M033yQiIoK0tDQ+/fRTa/fl5557jltvvdXm2Jb9tVptvrYLWmf5H2TvMVtY/h41Go3NNsHBwbz++uu8+eabLFiwgMqVK/P6668THh5OWloa//3vf5kxYwZhYWEkJSUV2EZ54M6/aVE6srOz8fPz484772Tr1q1OvU+X5S9OSrzIzMrK4rnnngOgadOmJd2cR9DpdKX+4bC42ry1ivmNaW/lXG6/ANrDh2HAAABuuQX27YO4OC3y2dc93PHaEu4hubZlNBpRFAWNRlOuR2O1sJz5sjym0pT3A3DeQsue5s2bs3//fs6ePWstYjQaDe+//z7vv/++w/3GjRtnc52mt7c3er2eFStWsGLFCsBcnPj5+ZGUlGSzb+/evfnmm28K9bx4e3uTnp7O/PnzmT9/PmAu5nQ6HSkpKTbbDhs2jPfee8/m+OPGjWPlypUcPXqUZ599ljFjxhAcHExKSgqqqvL000+TnZ3NggULCsyZvdfnjV0nHb2G8y67cRtLzlq0aEG7du14//33iY6OJjQ0lJSUFGtPqp49ezJz5sx8x8+bc1fW3ewxO9r/9ddfZ//+/fzwww/Mnj2bDz/8kJCQEFJTUzEajQwbNgxFUVi4cCF+fn7l+m/bnX/TonRoNBoURbGOqOzM+3RZfh93uch8++23C1xv+Vb4t99+49q1ayiKwpgxY1xtTlQQ4X7hhPmGsb9aEiMOYHeEWZkrUwghPMuN191dunSpwO3zdv0EePrpp+nQoQNr165lx44dHD58mH/++YeUlBSCgoKoXbs2rVu3ZvDgwfTr16/Q8b377rs88MAD/Pbbb+zcuZOjR49y6dIl0tPTCQkJITIykvbt2zNs2DA6duyYb//Q0FB27NjB22+/zapVqzh//jxarZauXbvy1FNPMXjwYEaOHFnouErCzJkzueOOO4iOjiY2NhZvb28aNWrEqFGjGDNmTJmajk6r1bJ8+XK++eYbvvzySw4fPkxubi6tW7fmySef5IknnuD+++8HsJ4xF0KUDkV1cWxnS7V9M6qqotFomDRpEtOmTXOlKXGdpbtsSkpKqXaXXb16Nf379y+2b0vafd2OgG172LgQqF8fTp0C4LvvYPhw6NYNNm4slqaEk0oiz6Jsklzbl52dTVxcHPXq1asQ3WUt168FBwfLWY8KrjhyPXXqVKZNm0aXLl3YvHlz8QboRqqqUqdOHc6dO8fChQsZNmyYu0NymfxNV3yW96FatWqxceNGp96n3VEbOMvlM5mdO3cusMi0TDLcvHlzBg0aREPLaSrh8aLCo1hbbY/5l9OnITUVgoNlrkwhhBBCFJvvvvuOc+fOodVq6dGjh7vDEcKjuFxkVqRvukTpigqLItEfEiMCCL+aAbGx0LGjda7Mc+cgMxNKeQBdIYQQQpQzjz76KAMGDKBr165EREQAcOnSJb799lumTJkCwPDhw2868rAQong5VWSOHTuW4OBgpk6dWsLhCE/QsJL5lOWxmj50uJoB+/dDx45UqgShoZCcbO5BK+NECSGEEKIga9asYdmyZYD9wZjuuusu5syZ467whPBYTnXq/uijj/jyyy9td9RoqFmzZokEJSq2qHDzKcu9la9PIHt98B9FQbrMCiGEEMJpn3zyCYMHD6ZRo0b4+PiQmZlJ5cqV6dWrF/PmzWPDhg1l7lo1ITyBU2cyFUXJN0Q2mC+oFqKwLEXm1rA0XoB8I8z+8YcUmUIIIURpmTp1arntrTZ8+HCGDx/u7jCEEDdw6kxmSEgI165dIzs7u6TjER6gkl8lQn1DOWCZPi02Fq7PwSVnMoUQQgghhCjfnDqT2aJFC7Zs2cKIESMYMWIEgYGBAOj1erZt21aoM5qdO3d2LVJhZTAYMBgMpdZW3p/FpUFYA/7K/JNcPx+0WVkY/v4bbr2VevUUQMuJEyYMBmOxtikcK6k8i7JHcm2fwWBAVVVMJpPdnjvljeV92fKYRMUlufYMkueKz2Qyoaoqubm5gHPv02X5vdypeTJ/+eUXHnjgAZspS1RVdWqeTJvGFMX6xAnnRUdHEx0djdFo5Pjx4yxZsgT/cj706gdnPmBb8jZOLKxM1Okr/DFuHBc6deL48VBee60L4eFZfPPNOneHKYTwEFqtlmrVqlG7dm28vb3dHY4QQggPo9frSUhI4OLFi07XS5mZmQwZMqRMzpPpVJEJsHLlSmbPnk1sbCyZmZkoiuLSNZny7YvrLBOuXr16tdReSAaDgZiYGHr16lWsE7dP2TKF97a/x+adt9Llt6MYx4/H9M47JCVB1armdpKSDAQEFFuTogAllWdR9kiu7cvOziYhIYHIyEh8fX3dHU6RqapKWloaQUFBhf5CWJQvkmvPIHmu+LKzszlz5gzVq1dn69atTr1Pp6amEhERUSaLTKfnyRwwYAADBgyw/q7RaKhWrRoXLlwokcCEYzqdrtQ/HBZ3m7dWvhWAv6qa6AJ4HTqEl05HlSoQHg6JiRAfr6N582JrUjjBHa8t4R6Sa1tGoxFFUdBoNGg0Tg1XUKZZvtC1PCZRcUmuPYPkueLTaDQoioJWay7PnHmfLsvv4/IqFW5hGWF2S9j1uaxuGGEWZPAfIYQQQgghyiOXi8y4uDj27NlTnLEID2IpMtf7X0JVFLhwAa5cAaTIFEIIIYQQojxzucisW7cutWrVKs5YhAep7F+ZYJ9g0n1AH1nbvPD62UwpMoUQQgghhCi/pLuscAtFUaxnM6/dcv3LCikyhRBCCCGEKPekyBRuYykyT9e5PhrW/v3Av0XmyZNuCEoIIYQQQghRJFJkCrdpGG6uJg9Wu77g+pnMKHPtycWLkJbmhsCEEEIIIYQQLpMiU7iN5Uzm7+Hp5gVHjkBODqGhEBFhXiRnM4UQQgghhChfpMgUbmMpMneSAGFhkJsLf/8NyHWZQgghhKgYrl27RmhoKJUrVyYjI8OlY3Tv3p2wsDCmTZvm0v5du3ZFURSmTp3q0v6eYuTIkSiKwsiRIwu139mzZ/Hx8SEqKgq9Xl8ywZUzUmQKt7F0lz2bmoCpWVPzQhn8RwghyrWpU6eiKAqKorg7FFGKdu/ezejRo2ncuDFBQUH4+PhQu3ZtWrduzeOPP878+fNJSEhwd5huMXXqVFJSUnjttdcICAiwWbd582amTp3K/Pnz3ROcKBZ16tRh1KhRnDp1iujoaHeHUya4XGSePXuWs2fPkp2dXZzxCA9SJaAKgd6BmFQTyY3qmhdKkSmEEEKUG6qq8vLLL9O+fXvmzZvH0aNHycjIICAggCtXrvDnn3/y7bffMmrUKN566y13h1vqjh8/zueff07lypUZM2ZMvvWbN29m2rRpJV5k1qlTh0aNGhFhuR5JFLs33ngDnU7H9OnTSU5Odnc4budykRkZGUn9+vVJTEwszniEB8k7jcnZeuHmhTeMMCtFphBCCFF2zZkzh48//hiA+++/nx07dpCdnU1iYiLZ2dmcPn2aefPm0bdvX7y8vNwcben78MMPyc3NZcSIEfj7+7stjoULF3L06FGef/55t8VQ0dWpU4f+/fuTmJjI119/7e5w3M7lIjMwMJCQkBBq1KhRnPEID2MpMg9Vu/7Gc+AAqKoUmUIIIUQZp6oqH374IQB9+/Zl1apVdOjQAW9vb+s29erV4/HHH2fNmjV8+umn7grVLdLT01myZAkAQ4cOdXM0ojRY8vzll1+iqqqbo3GvIp3JzMzMxGg0Fmc8wgkGg6FUbyXZZv3Q+gDsDk5D1WohKQlDXByRkeZ2r1yBq1dL9/F66s0dry25Sa7L0k1VVUwmU4W4WT7cuOMx5f1g5cr+P/74I/fffz81atTA29ubsLAwOnfuzGeffUZOTo7NthcvXkSn06EoCqtWrSrwuG+++aa5B01UlN31f/75J6NGjaJBgwb4+/sTGBhI8+bNmTRpEpcvX7a7z5QpU1AUha5du2IymVixYgW9evWiSpUqaDQapkyZYt32yJEjvP/++/Ts2ZMGDRrg5+dHcHAwLVu2LLANyy0nJ4cPP/yQFi1aEBAQQHh4OF27duWHH34AoFu3biiKYtNmcTzGgm6XL1/m/PnzANxzzz033d7Hx8fhuitXrjBt2jTatWtHeHg4vr6+REZG0rt3bz777DOSkpLs7vfDDz9w9913U7VqVby9valatSp33303K1eudNjWiBEjUBSFESNGYDQa+fLLL+nUqROVKlVCURS++eYbm+0vXLjA66+/TvPmzQkJCcHX15f69evzxBNPcOjQIYftLF68mLS0NBo3bkzTpk1t1p0+fRpFUawD+WzZssV6LbPlljeOvH/TRqORL774gnbt2hEcHExQUBAdOnRg4cKFDmOxDPxj7/Wh1+v5/PPP6dq1KxEREeh0OipVqkSjRo0YNGgQX3/9daFeF02aNEFRFObOnZtv3fbt262Pb8CAAXZf54GBgSiKwvr16/OtT0pKYtq0adxxxx0EBwfj5+dHw4YNeeaZZzh58qTDmCxtbty4kYsXL/LKK69wyy234O/vj6Iodp9ne8dZu3YtQUFB1tePXq+3WX/33XcTFBTEiRMn2LhxY6H/plRVJTc3t1Dv02WV1tUdH3jgAd555x3+97//cd999xVnTOIG0dHRREdHWwv6devWlXqXi5iYmBI5bua1TAB+P/MHqTVrEhIfz5/z5nGpbVtCQ/uQnOzLggXbiYpKKZH2ha2SyrMoeyTXtrRaLdWqVSM9Pb1CjQyY5obJhnNycqz3U1NTnd4vPT2d0aNH89tvv1mXBQUFkZKSwrZt29i2bRvz589n+fLlhIaGAuDr60v37t1Zt24d8+fPp2vXrnaPraoqixYtAmDgwIH54nrvvfeYNWuW9QOmv78/BoOBgwcPcvDgQb755hu+//57mjVrZvex5ubm8uKLLxIdHY2iKISEhKDRaMjJybG21adPH+vAN4qiEBwcTGpqKvv372f//v3Mnz+fVatW0dDSlSePjIwMBg0axI4dOwDw8vLC29ubrVu3smXLFl5++WXrZ4S8bRbHYyxI3tfX6dOnC5XvvDZu3MgTTzxhvY5Nq9USEBBAfHw88fHxxMTEEBISwt13323dR6/X88wzz/DTTz8BoNFoCA4O5urVq6xevZrVq1czYMAA/vvf/6LT6Wzas3ww1+v1DBgwgJ9//tm6v0ajITs72/pY1q5dy5NPPkl6unm6NZ1Oh7e3N3FxccTFxbFo0SI+/vhjBg8enO9x/e9//wOgXbt2+Z6bzMxMqlSpQkZGBhkZGeh0OsLCwvIdw7KfJb9ZWVncd999rF69Gq1Wi5+fH+np6ezatYtdu3Zx+PBhJk6cmO84lsLlxteH0Whk4MCBbNq0ybosODiYjIwMEhMTOX78OCtWrODhhx/Od0xHOnbsyOHDh1m3bh3Dhg2zWbdmzRrr/c2bN5OSkmIzSNiuXbvIyMjAx8eH22+/3SbWI0eO8PDDD3PhwgXA/Pev0+k4efIkJ0+eZP78+Xz55ZcF1iWHDh3i0Ucf5fLly9b94d/nOe8XsTfm7Pvvv+eFF17AYDDw4osvMm3aNDIzM/O1cccdd7BlyxZ++eUXWrVq5dRzBubXY1ZWlvXv3Jn3aXvtlxmqi9LT09VbbrlFrVGjhnrgwAFXDyMKISUlRQXUq1evqnq9vlRuGRkZ6qpVq9SMjIwSOf6GkxtUpqLW+6ieahwyRFVBzZ06VdXr9eqddxpVUNXvvjOU2uP11FtJ51luZecmubZ/S01NVQ8fPqxmZGSoRqPR/i03VzWmppaLW25Kipp07pyam5JS8La5uY4fr4u3yZMnq4AKFGq/+++/XwXUqKgoddGiRWpycrJqNBrVjIwM9aefflLr16+vAur9999vs9/SpUtVQPXx8VGvXbtm99hbtmyxxnTixAmbdR9++KEKqEFBQeq7776rnj9/XjUajaper1f37Nmjdu/eXQXUWrVqqSkpKXYfa2BgoAqo48ePVy9evKgajUY1MzNTPX36tHXbQYMGqZ988ol6/PhxNSsrSzUajWpWVpa6bt06tW3btiqg3nHHHXbjf+qpp1RA1Wg06owZM6xxXLp0SX3hhRdUQA0NDVUBdfLkyfn2L8pjvNmtXr161mOvXbu20K+XvXv3qr6+viqg3n777eqvv/6qZmdnq0ajUU1LS1N3796tjh07Vl23bp3NfmPHjlUBVVEU9c0337Tm/urVq+rEiROt+X7ttdfytTl8+HBr3rRarTpr1iw1KSlJNRqNakpKinru3DnVaDSqO3fuVL29vVVAfeqpp9TDhw+rer1eNRqNalxcnPrss8+qgKrVatXdu3fna6dKlSoqoH711Vc3/Xvp0qVLgc9T586dVUANCwtTQ0JC1G+++UZNT09XjUajGh8fr95zzz3W18jRo0fz7d+lSxe7r48FCxaogOrr66t++eWX1vzn5uaq//zzj/rDDz+oDz30UKFy+sMPP1hjNRgMNut69OihAmpwcLAKqH/++afN+rffftvu85GcnGx9rdWsWVP9v//7P+ux9+3bp7Zv3976f2Dfvn35YrK8HgIDA9VGjRqpMTEx1v2PHDmS77UxfPhwm/3ff/99VVEUVVEUdc6cOQU+fsvrr127doV63jIyMtTDhw+riYmJTr9PX716VQXUlJQUd5cp+bhcZC5YsED94IMP1KCgIFWn06n33nuvOmPGDPWbb75RFyxY4PAmXGcpMkvzhaTX69VVq1aper2+RI5/IfWCylRUzTSNapj5nqqCqj78sKqqqjpypPnXt98ukaZFHiWdZ1F2SK7ty8rKUv/++281KyvL8Ubp6eZ/ShXplp5e7M/llClTrB/onPXrr7+qgFqtWjX13LlzdrdJSEhQAwICVED966+/rMuzsrLUkJAQFVC/+OILu/tairROnTrZLL9y5Yrq7++vKoqirl+/3u6+BoNBbdWqlQqoc+bMcfhYx44d6/TjvVFaWppatWpVFVC3bdtmsy4+Pl7VaDQqoP7nP//Jt6/RaFQfffRRaxxTpkwp1sd4M4sXL7a2Dah169ZVhw0bpn700Ufq9u3b1ezs7AL379SpkwqoDRs2VJOTk51q89y5c6pWq1UBdeLEiXa3sRShOp1OvXDhgs26ESNGWOP95JNPHLbTpk0bFVDfeusth9u8+OKL1i8/8jp16pS1jb179zrc3/Ia6tKli8NtVFW1FomAunHjxnzrs7Oz1Ro1aqiAOn36dIf73/j6sBTKTz31VIHtF0ZiYqL1Nfvnn3/axOjn56f6+/ur48aNUwH1gw8+sNm3W7duKqBOnTrVZvmMGTOs+YyNjc3XZmpqqhoZGakC6t13351vveW5Cw4OVhMSEhzGbnltjBgxQlVVVTWZTOorr7yiAqq3t7e6bNmymz7+FStWWL98yMnJuen2Fpb3odTUVKffp91RGzjL5WsyR44cyfjx48nIyCA3N5f//e9/vPHGG4wePZpRo0bZvT3++OOuNicqqGqB1fDX+WNSTVyMqmZeKCPMCiGER7GMxDhs2DBq1qxpd5tatWrRrVs3AJsutb6+vgwcOBCA7777Lt9+OTk5LF++3Hr8vBYvXkxmZiatW7emR48edtvVarU8+uij+drNS6PR8Prrrzt8fDcTGBhIly5dAPj9999t1lmuLfT39+eVV16xu//48eMdHru4HqMjQ4YMYdmyZdSqVQuA+Ph4vvvuO15++WU6duxIWFgYgwcP5sD1KcryOnHihPXxvvvuu4SEhDjV5sqVK8nNzcXX15cJEybY3ebNN9/Ex8cHg8FgvW71RmFhYTz99NN21x04cIA//vgDnU7Hq6++6jCW4cOHA7B+/XqbcUosXToBKleufNPH5KyOHTta/w7y8vHxoU+fPgAcPHjQ6eNZup5fvHixWOID8/PavHlzwNwV2mLXrl1kZWXRsWNH+vbtm299Tk4OO3fuBMj3GL///nsAHn74YZo0aZKvzaCgIF577TXA3CU3JcX+ZVbDhg2zvlZvxmAw8NhjjzFnzhyCgoJYvXo1jzzyyE33s0wTk5uby5UrV5xqqyJy+ZrMOnXqyETLosgs05gcvHSQIzW8qQVw6hSkp9OwYSAgRaYQoozw94fr12WVdSaTidTUVOs1Zg65cUqFvCyFxpdffsnChQsdbmf54BgfH2+zfPjw4Xz99dds376duLg46tWrZ13366+/kpycjI+PD4MGDbLb7qFDh6hWrZrDdrOysuy2axEVFUWVKlUc7p83lu+++44//viDS5cu2b2e6ty5cza/79u3D4DWrVsTEBBg97j16tWjdu3a1ms+8yqux1iQRx55hIceeoj169ezfv169uzZw4EDB0hLSyMrK4vvv/+elStX8tlnn/Hkk09a98t7jWm/fv2cbm/v3r0AtGnThuDgYLvbhIWF0bp1a7Zv327d/kZt2rSxGQk3L8vzZjKZaNSokcNYLIVlRkYG165ds74O8hYX4eHhN3lEzmvbtq3DdZYZHwozvWD//v2ZMWMGv/zyC/369WP48OF06dKlyLNHdO/enb/++ouNGzcybtw44N+Csnv37tx55534+PiwdetWcnNz0Wq11ulv/Pz8aNeunfVYer3eWjj37NnTYZu9evUCzDnbt2+f3WK8Y8eOTsWflpZG//79Wb9+PVWrVmXNmjW0bNnSqX3z5vvKlSsOvzir6FwuMs+cOVOMYQhP1jC8IQcvHeRvrtCrenX45x+IjaVhww6AFJlCiDJCUcDBh/wyx2QCo9Ecb0FFZhlgMBi4evUqYC4iHZ2ByOvG4qxTp07Uq1fPOhDLW2+9ZV1nObt53333Wc/aWFjONmVlZVmLrMK0a3GzAtNkMjF06FCWLl1qXabVagkLC7MWOSkpKWRnZ5ORkWGzr6VYudmH/po1a9otMovrMd6MTqejX79+1mLRZDJx4MABFixYQHR0NLm5uTz77LO0bdvWepbLcvYsIiLCYQFtz+XLlwFu+uHdcsbKsv2NCsqb5XkzGo1cunTJqbjyPnfZ2dnW+z4+Pk7t74ygoCCH67Ra88f6wow42qlTJ2bOnMmbb77J2rVrWbt2LWB+7nr27Mnw4cPtFms3061bNz744AO2bdtmLSItgwt1794dPz8/2rdvz5YtW9i7dy/t27e3rrcUoBaJiYnWYr6gnOc9Q+lKzvP68ccfrff/7//+z+kCE8DPz896P+/rwNOU7Xce4REsc2WeTDwJLVqYF+7fT5R5MdeuQVKSe2ITQghRsvJ2MVy2bBmqebyIAm/z58+3OYaiKNb56fJ2mb127RqrV68G/u3WaK/tZ555xql2HX3B7uXlVeBjnDdvHkuXLsXLy4vJkydz4sQJcnJySExM5OLFi1y8eNE6eqd6w9x6lt9v1nvsxv2K+zEWlkajoWXLlnz00Ud8+eWX1li+/fbbfNu62jPO2f0cbVdQ3izP26233urU86aqKpGRkdb9K1WqZL2fVMY/xIwfP564uDjmzJnDAw88QJUqVTh37hzz58+ne/fuDBw4sNBTZXTu3BmtVkt6ejp79uwhMzOT3bt3ExISYh1xtXv37sC/Zzjznul0pKCc513nSs7z6tKlC7Vr1wZg9OjRher2mvdMct7XgaeRIlO4nbXITDoJ17/d5MABAgOhenXzrydPuik4IYQQJcrX19d6LV5sbKzLx7EUkSdOnGDXrl2A+Toug8FA5cqVrdeA5WXpPlqUdp2xbNkywPxhddq0aURFReXrxuzomjjLmZe81/jZ42h9aT3GggwfPtx6dufYsWPW5dWvv8lfuXIl3xncglieE3tnbvOydD125ZpIy/N2+vTpQsVmkbfNwnRfdZcaNWrw8ssv89NPP3Hp0iUOHjzI6NGjAfjhhx/473//W6jjBQUFWYvJjRs38vvvv6PX6+ncubO10LOcId24cSMZGRns2bPHZrlFeHi4dZ+Ccp53XVGvg42MjGTz5s3UrVuXgwcP0q1bN4dnR2+UN9/FeT1ueVNsRebhw4dZsGABs2bNYvbs2SxYsIC///67uA4vKrCG4eYRfk5cO2FTZIIM/iOEEJ7Acp3UihUrMJlMLh0jKiqKDh3Ml1lYzmZafj766KPWroT22t21a5dL1yI6y/Lh11GXu/T0dHbv3m133R133AGYr0N0VOycOXPG4Yfv0nqMBfHy8sLX1xew7Tp65513AuazhnnnT7yZ1q1bA+bnxFH36uTkZJtrNwvL8rzp9XrrXJyFccstt1hfc6dPn3a4neXLBkdnot2ladOmfPXVV9bnwZW5lfMWkXm7ylq0b98ef39/duzYwYYNGzAYDAQGBubLl7e3t3X+1g0bNjhsb/369YD5ObX83RRF/fr12bJlC/Xq1ePw4cN07drVqQGS4uLiAPOXKDd20fckRS4yf/vtN5o3b06zZs14/PHHmTBhAq+//jqPP/44TZs2pUWLFqxbt644YhUVlOVM5pnkMxia3m5eePAgGI3WLrNSZAohRMX11FNPAXD8+HFmzZpV4LYZGRno9Xq76yxnM7///nv+/vtv6xlNe11lwTzSpJ+fH0ajkTFjxth03b2RyWQiOTn5Zg/FLsuZWnsjrAL85z//IS0tze66hx56CI1GQ0ZGBh9//LHdbT744AOHbZfkY9Tr9dbioSD/93//Z+0ymvfDf1RUFJ07dwbgjTfeIDU11al2BwwYgFarJTs7m5kzZ9rd5t133yUnJwedTseAAQOcOm5erVu3tn4pMGnSpJt2l7zxbGVAQID1sVrO0NljGbjI1ddWUeXk5BS43nIG2tlupnlZCsqdO3dav0TIW2TqdDo6duxIVlYW7777LmC+RtTeF0KDBw8GzGdVDx06lG99eno677//PmAezMjZkYpvpm7dumzevJkGDRpw5MgRunbtetNeBZYvjCyvbU9VpCLz008/pX///hw6dAhVVdFoNFSpUoUqVarg5eWFqqocPHiQfv36ER0dXVwxiwqmelB1/LR+GFUj8VW8wc8PMjPh1Ck5kymEEOXY1atXC7xZPljff//9PPjggwBMmDCBZ599luPHj1uPo9fr2b17N6+//jp169Z12G3tkUcewdvbm2vXrjFixAgAGjdubO22d6Nq1aoxY8YMAP73v//Rq1cvtm/fbi3EVFXl6NGjfPjhhzRp0oRff/3VpefB0lX3q6++4ssvv7QWyRcvXuSVV17h/fffd3jtVt26dXniiScAmDx5MrNnzyb9+ijH165d49VXX2XRokUOz5iU5GPU6/V0796dO+64gw8//JCDBw9aj2symYiPj2fatGnWAiE4ONjaBdPi448/xtfXlxMnTtCxY0fWrl1rvf7Pch3fM888Yz1LBebBX1566SUAZsyYwZQpU6yvpeTkZN566y3rlxVjx461dsstDEVR+Pzzz/Hx8eHs2bO0a9eOH374wWZwn/Pnz7No0SJ69epldwqbrl27Ajg8Sw1Yp+M4fPiwdbTd0vTAAw/w+OOPs2bNGptCNzExkenTp1vPHPbv37/Qx+7YsSPe3t5kZ2dz4MABIiIiaNq0qc02lqLT8hw5GmTo2WefpV69ehgMBvr168eaNWusvR5iY2Pp06cPcXFxeHt7M3369ELHWpA6deqwefNmGjZsyLFjx+jatSvnz593uL3lsVimJfJYrk6wuX//ftXLy0tVFEVt3769umbNGpsJd7Ozs9U1a9aod955p6ooiqrVatUDBw642pxQ3TPhamlN3N7ksyYqU1FXH1+tqm3amCcJX75c/eEH8922bUu0eY9XWnkW7ie5ts8yCXZWVpa7QykWRqNRTUpKUo1GY6m3bZlc3plb8+bNrftlZGSogwcPtlkfEBCghoWFWSd2t9zOnTvnsP2HHnrIZtv33nvvpjG///77qpeXl3Ufb29vtVKlSqpOp7M51qJFi+w+1i5duhR4/KSkJPXWW2+1Hkej0aihoaGqoigqoD799NP5JoHPKy0tTe3UqZN1fy8vLzUsLMy6/7hx49TOnTsX+HhdfYwFycjIsDmmJbbw8PB8x61SpYq6detWu8f57bff1JCQEOu2Op1ODQsLs9n/p59+stknJydHHTRokM1zeuNr5dFHH7X7v66g5/pG69atUytVqmTz+CpVqqT6+/vbxDd69Oh8+/71118qoPr5+Tn87GYwGNRGjRpZjxMWFqbWrVtXrVu3rrpixQrrdl26dFEBdfLkyQ5jLej1aNl/ypQpdpdbbsHBwWpwcLDNsocfftjl/yV33XWX9TgDBw7Mt37Xrl02be3Zs8fhsWJjY9WaNWtat/X19bWJ1cfHx+Y5y8uyzaZNmwqMt6DXxvnz5625atCggXr27Nl82xw7dsz693X58uUC27qR5X0oNTXV6fdpd9QGznL5TOaHH36IyWTi3nvv5ffff6dv3742/ex9fHzo27cvW7du5d5778VoNDJnzhxXmxMVnOW6zBtHmJUzmUII4Rn8/f1ZunQpmzZtYtiwYdSvXx+TyUR6ejpVqlShe/fuvP/++5w4caLAaQzydo3VaDTWUWcLMn78eI4ePcorr7xCs2bN8PX1JTk52Xp92GuvvcaOHTsYMmSIS48tNDSUHTt28PLLLxMZGYmXlxdarZauXbuydOlSPv/88wL3DwwMZMOGDcyaNYtmzZrh7e2Nqqp06dKFH374gUmTJlnPQjk6o1kSj9Hf359Lly6xcOFCRo8eTatWrQgJCSElJQUvLy9q1apFnz59+Pjjjzlx4gR33XWX3eP07t2bEydOMGnSJFq2bImfnx9ZWVlERkbSp08fvvjii3wjjnp7e1vn3+zXrx+VKlUiLS2NSpUq0a9fP3788UeWLFmCTqdz+vHY06tXL06ePMl7771Hp06dCAkJITk5GY1Gw2233cYTTzzBL7/8wty5c/Pt26JFC9q2bUtWVpbNlBh5abVaNmzYwOjRo4mMjCQjI4P4+Hji4+OtZ6xL0ty5c5k5cyb9+/enYcOGqKpKVlYWNWrU4L777mPlypWsWLGi4Pl2C5D3zKS9UWNbt25t7TIcHBxc4LWUTZo04fDhw0ydOpUWLVqg1WrJycmhQYMGPPPMMxw+fNg6SnNJqFGjBps3b6Zx48acOnWKLl265LvOefHixQA8+OCDHj3oD4Ciqq5daRwZGUlCQgKnTp2yGbLZnri4OBo0aECdOnVkfs0iSE1Ntf7zdjT5cHEzGAysXr2a/v37F/kfdUFei3mNWTtm8WLbF/n49C3w/PNw991kLv/VOi3d1avgwSNBl6jSyrNwP8m1fdnZ2cTFxVGvXj3rACXlmclkIjU1leDgYJc/HIrywWQyceHCBRo0aIBer2fr1q0OizlR+hYuXMiIESPo1q2bdYoOV8jfdNmnqioNGzbk1KlTbNmypdDXZFreh2rVqsXGjRudep92R23gLJdfpZcuXSIkJOSmBSZAvXr1CA0NdXoyW+F5LIP/nEi0HWHW3x8sX1jL2UwhhBAiv88++wy9Xk94eLhLI6mKkvPYY49x2223sWnTpgIHABLl3/Llyzl16hR9+vTx+EF/oAhFpp+fH5mZmeTm5t5029zcXDIzM60jVAlxI5vusteHqebcObh2zdplVubKFEII4YnS0tIYPHgwa9eutRmcJT4+ntdee806sM/LL79cIc7EVyReXl7WUU+nTp3q3mBEiTGZTLz99ttoNJqbjpDtKfKPEeykxo0bs2vXLn744QfrqGGOrFixAr1e73B0NyEsZzLjkuPIDfRHW78+nD4NBw4QFdWdzZvlTKYQQgjPZDQa+f777/n+++8B80T3gM20Jw899BATJ050S3yiYHfffTcfffQRycnJpKenExgY6O6QRDG7cOECAwcOpF69evlG0PVULheZAwcOZOfOnTz33HNERETQs2dPu9utX7+e5557DkVRGDRokMuBioqtZnBNfLW+ZOdmE58cT4Pmza1FZsOG5gvFpcgUQgjhiQIDA/n000+JiYnh0KFDXLlyhaysLKpXr06rVq14+OGHGTp0qEtzGYrSYZlyRVRMtWrVkjPVN3C5yHz22WeZN28ehw8fpk+fPnTo0IGePXtSs2ZNFEUhISGBDRs2sHPnTlRVpUmTJjz77LPFGbuoQDSKhgZhDTh85TAnE0/SoEUL+Okn8wizD5i3kSJTCCGEJ9JqtYwZM4YxY8bkW2cZEEZRFDdEJoQQ9rlcZPr4+PDbb7/x0EMPsWfPHnbs2MHOnTtttrEMXNuuXTtWrlyJt7d30aIVFVpUeJS1yOyTZ/CfhuPNd0+cAFUFeR8VQgghhBCi7CrSGMg1atRgx44dLFu2jAcffJBatWrh7e2Nt7c3tWrV4sEHH+T7779n+/bt1KhRo7hiFhWU3RFm//6bBrX1AKSkmKcxEUIIIYQQQpRdLp/JtNBoNAwaNEiutyxFBoMBg8FQam3l/VmS6ofUB+DEtRMYatRAGxKCkpKC9mQstWvfQUKCwpEjuYSGujS1qyhAaeZZuJfk2j6DwYCqqphMJkwmk7vDKTJLTyLLYxIVl+TaM0ieKz6TyYSqqtaZO5x5ny7L7+UuF5kajQaNRsPRo0eJiooqzpjEDaKjo4mOjsZoNAKwbt06/P39SzWGmJiYEm/japr5NOWBhAOsXrOGjrVqEZGSQux33xEaWoeEhMqsXHmQpKSEEo/FU5VGnkXZILm2pdVqqVatGunp6ej1eneHU2zyjj4qKjbJtWeQPFdcer2erKwsduzYATj3Pp2ZmVnSYblMUS1fjRRSQEAAOp3OZr4mUbJSU1MJCQnh6tWrBAcHl0qbBoOBmJgYevXqhU6nK9G24lPiaRjdEJ1GR+prqeheHYdXdDTGl1/m2YzZfPWVFxMnGpk2Tb7BK26lmWfhXpJr+wwGA2fOnKFWrVoVYnoBVVVJS0sjKChIBoSp4CTXnkHyXPGlp6dz7tw5atasyebNm516n05NTSUiIoKUlJRSqw2c5fKZzFq1anHu3LnijEU4SafTlfqHw9Jos36l+vh4+ZBjzOGfzH+od8cdAHjFxnJLX/Ow7KdPe6HTyRDtJcUdry3hHpJrW1qtFm9vbzIzM8vcG7UrLN3pFEVBoynS8AuijJNcewbJc8WXkZGBt7c3fn5+gHPv02X5fdzlV+ndd99NdnY2W7ZsKc54hAfTKBrqh5mvyzyZePLfwX/276dhlPmEu0xjIoQoCYqiEBQUREpKCllZWe4ORwghhAfJysoiNTW1Qp2pdvlM5sSJE1myZAnPPvssGzZsoHr16sUZl/BQUeFRHLl6hJOJJ+nVdBR4ecG1azQOuQDUlGlMhBAlJiIigqysLM6ePUtwcDBBQUF4eXmVyzd8k8mEXq8nOztbznpUcJJrzyB5rnhUVcVoNJKWlkZqaio+Pj5ERERUmIGdXC4yjxw5wjvvvMMrr7zCbbfdxrBhw+jYsSNVqlTBy8txd8bOnTu72qTwADbTmPj6wq23wuHDRKYcQFFqkpYGly9D1apuDlQIUeF4eXlRu3Ztrl69SlpaWrkec0BVVbKysvDz8yuXRbJwnuTaM0ieKy6dTkdoaCgRERF4eXlJkdm1a1ebF7llBNSCKIpiHZZXCHsahjcErneXBXOX2cOH8f57P3Xq9Cc+3txlVopMIURJ8PLyomrVqlSpUgWDwVBu3+wNBgNbt26lc+fOZfqaHVF0kmvPIHmumDQaDTqdrkJ+cVCkeTILOzCtiwPZCg9iOZNpU2QuWQIHDtCwIdYis1MnNwYphKjwFEXB29vb3WG4zMvLi9zcXHx9feUDaQUnufYMkmdR3rjcqdsyYXVhb0IUxFJknko6hdFkhBYtzCuuF5kgg/8IIYQQQghRlrlcZJ49e5azZ8+SnZ1dnPEID1cnpA46jQ69Uc+51HP/jjB7/DiN62QAcPKkGwMUQgghhBBCFMjlIjMyMpL69euTmJhYnPEID+el8bKdxqRqVfNNVWmhPQTImUwhhBBCCCHKMpeLzMDAQEJCQqhRo0ZxxiOE7QizYO0yG5V5wLz8+jQmQgghhBBCiLKnSGcyMzMzMRqNxRmPEPZHmAWqnN+PRgMZGXDxoruiE0IIIYQQQhTE5SLzgQceQK/X87///a844xHC/gizgNehA9Sta14kXWaFEEIIIYQom1wuMl9//XWioqJ49tlnOXjwYHHGJDxcvu6ylsF/Dh7klijzCMVSZAohhBBCCFE2uTxP5sqVK3n66aeZOnUqrVu3pm/fvnTs2JEqVarg5eXlcL/hw4e72qTwEA0rmbvLnko8hUk1oWnUCHx8ID2d9lVO8xtRUmQKIYQQQghRRrlcZI4cORJFUQBQVZX//e9/N+06qyiKFJnipuqE1EGr0ZJjzOF86nlqh9SGJk3gzz/p4H8AiGLRInj9dQgLc3e0QgghhBBCiLxcLjLr1KljLTKFKE5ajZZ6ofU4kXiCk4knzUVm8+bw5590Cz9Aw4YDOHECnnkGli0DeRkKIYQQQghRdrhcZJ45c6YYwxDCVlR4FCcST3Ai8QTd6nWzTmPi/fd+Fi+GDh1g+XK4914YOtS9sQohhBBCCCH+5fLAP0KUJEfTmHDgAG3awNSp5l/HjAH5vkMIIYQQQoiyQ4pMUSblm8akWTPzz7NnISmJCRPgzjshNRWGDweZrlUIIYQQQoiyoViKzKtXr7JixQpmz57N22+/XRyHFB4u3zQmoaEQGWm+f+AAWi189x0EBsK2bTBrllvCFEIIIYQQQtygSEVmbm4ur776KrVr12bw4MG8/vrrTJs2zWabpKQkwsPD8fX15Z9//ilSsMJz3DiNCWDTZRagfn2YO9e86K23YN++0o5SCCGEEEIIcaMiFZkDBw7ko48+Qq/Xc/vtt6PV5h9HKCwsjCFDhqDX6/n555+L0pzwIHVD6uKleJGVm8U/ade/nLihyAQYMQIGDIDcXHjsMcjMdEOwQgghhBBCCCuXi8zvv/+en3/+mSpVqrB3714OHjxIeHi43W0HDhwIwK+//upqc8LD6Lx0RIZGAnm6zF4fYZb9+63bKQp88QVUrw5Hj5rnzhRCCCGEEEK4j8tF5rfffouiKMyaNYuWLVsWuG3btm1RFIXY2FhXmxMeyNJlNt8Is4cPg8Fg3a5SJZg/33z/009hzZpSDFIIIYQQQghhw+Uic9/1C+AGDBhw0239/PwICQnhypUrrjZXbu3bt4+xY8fSvHlzgoODCQwMpH379ixevNjdoZV5UWE3jDAbGQlBQaDXw7FjNtv27g0vvmi+//jj4IEvNSGEEEIIIcoEl4vMlJQUQkJC8PPzc2p7k8nkalPl2vvvv893331Hhw4drKPvZmRkMHTo0HyDJAlb+UaY1Wj+PZuZp8usxYwZcNttcPEiPPUUqGopBSqEEEIIIYSwcrnIDAsLIyUlhezs7Jtue+7cOVJTU6lSpYqrzZVbL774IgkJCXz++ec89dRTjB07lj179nDLLbfwzjvvkJSU5O4Qy6x83WXh3yLTzlCyfn6weDHodLBqFXzzTSkEKYQQQgghhLDhcpHZ/PqH/S1bttx02y+++AKAdu3audpcuXXnnXfi6+trs8zPz4977rkHg8HAsRu6fYp/Wc5knkw8iWo5LXnXXeaf334LV6/m26dFC3jnHfP9l16CkyfzbSKEEEIIIYQoQS4XmY8++iiqqvLWW2+RWcC8EcuXL2fmzJkoisKwYcNcba7CuXDhAgCVK1d2cyRlV2RoJBpFQ6Yhk3/Sr09j8vDD5rOZyckwZYrd/caOha5dISMDhg41T28ihBBCCCGEKB0uF5nDhw+nbdu2/Pnnn3To0IHPP/8cw/URP/fu3cs333xD7969efTRR8nNzaV79+7cc889RQo2MzOTNWvWMH36dB566CHq1q2LoigoisLUqVOdOkZaWhpTp06ladOmBAYGEhISQps2bfjggw/Q6/VFis9Zf//9Nz/++CPt27enQYMGpdJmeeTt5W2dxsTaZdbLCz7+2Hz/88/BzojFXl6wYAGEhMDu3fDuu6UUsBBCCCGEEAKtqztqNBp++eUX7rnnHvbu3cuYMWOs6/J2i1VVlXbt2vH9998XLVJgz5499O/f3+X94+Pj6dq1K2fOnAHA39+fnJwc9u7dy969e1m8eDEbNmwgLCws3756vZ6DBw861Y6fnx+333673XWpqakMHDgQjUZj7UYsHIsKj+J00mlOJp6kc93O5oVdusDAgbBihblP7IYN5gkz86hTB/77XxgyBN5+G/r0AQ/srS2EEEIIIUSpc/lMJkCVKlXYvn07c+fOpVmzZiiKgqqq1lvjxo356KOP2LJlC+Hh4cUScFhYGD169GD8+PEsXbqUatWqObWf0Wjk3nvv5cyZM1SvXp2YmBgyMjLIzMxk2bJlBAUF8ddff/HYY4/Z3f/ChQu0adPGqdsjjzxi9xhZWVnce++9HD9+nGXLltGsWTOXnwdPkW8aE4v33wcfH9i0yTzKjx2PPmq+GY3mbrPp6SUcrBBCCCGEEML1M5kWOp2OMWPGMGbMGNLT07l48SJGo5GqVasSGhpaDCH+66677iIxMdFm2YQJE5zad/78+cRe71q5cuVKOnToAJjPyD7yyCOYTCaGDBnCmjVr2LBhAz169LDZv1q1amzatMmptgICAvIt0+v1PPjgg/z+++8sXryY+++/36ljebp805hYREbC+PEwfTq8+ir06wc3DLAEEB0Nv/9uHgBo7Fj48stSCFoIIYQQQggPVuQiM6/AwECioqKK85A2vLy8XN53wYIFAHTr1s1aYOY1ePBgJk2aRFxcHAsXLsxXZPr6+tK1a1eX2s7NzWXQoEGsW7eOefPmMXjwYJeO44nsTmNiMWGCeZTZuDiYMwcmTsy3SViY+frMHj3gq6/g7rtB6nshhBBCCCFKTpG6y5YXmZmZbN++HYB+/frZ3UZRFPr27QvAunXriq1tk8nE0KFD+fnnn4mOjmbUqFHFdmxPYHcaE4uAAJg503z/nXfg+oi9N+rWDcaNM98fPRouXiypaIUQQgghhBDFeiazrDpy5AgmkwmAJk2aONzOsu7ixYskJiYWy3Wk48aN4/vvv6dz584EBQWxaNEim/V33nkn9evXt7tvTk4OOTk51t9TU1MBMBgM1pF8S5qlndJq70a1AmqhUTSk69M5l3yOaoE3XIM7cCBen36KZtcuTBMmYJw3z+5xJk+G337TcvCgwqhRJn7+2XjjWEEezd15FqVHcu0ZJM+eQ3LtGSTPnqMwuS7LrwePKDIv5DnDVbNmTYfb5V134cKFYiky9+3bB8DWrVvZunVrvvXffvutwyLzvffeY9q0afmWr1u3Dn9//yLHVhgxMTGl2l5eEboILusvs2j1Im4LvC3f+tABA+iyaxea775jW9OmJN9yi93jjB4dxKuvdmHtWi9eeCGW/v3PlHDk5Y878yxKl+TaM0iePYfk2jNInj2HM7nOzMwshUhc4xFFZlpamvV+QcVZ3nV59ymKzZs3u7zvxIkTGTt2rPX31NRUateuTe/evQkODi6G6G7OYDAQExNDr1690Ol0pdLmjZomN2XDmQ1UubUK/ZvZn8LGFBuLZuFC7vrhB4xbt4LGfk/w3FzzAEALFzbj+edv49ZbSzLy8qMs5FmUDsm1Z5A8ew7JtWeQPHuOwuTa0suxLPKIIrO88vHxwcfHJ99ynU5X6v9g3NGmRcNKDdlwZgOnk087jmHGDPjxRzR79qBZscI8Z4kdL70Ea9fCunUKI0fq2LkTvL1LMPhyxp15FqVLcu0ZJM+eQ3LtGSTPnsOZXJfl14JHDPwTFBRkvV/QaeW86/LuI9zLOsJskp0RZi2qV4dJk8z3X3/d4aSYGo15QNrwcNi3D+z0RhZCCCGEEEIUgUcUmTVq1LDeP3/+vMPt8q7Lu49wr7wjzBbo5Zehfn3zKLMzZjjcrEYN+OIL8/333oNt24opUCGEEEIIIYRndJdt3LgxGo0Gk8nEoUOHHE5jcujQIQCqVatWLIP+lBRPGl0WoG5QXQBOXDuBXq9HcTQsrJcXysyZaAcORJ09m9zhw6FePbub3n8/DB/uxcKFGoYNU9m7N5eQkJJ6BGVfWcizKB2Sa88gefYckmvPIHn2HDK6bDni7+9Px44d2bZtG2vXrmX8+PH5tlFVld9++w2A3r17l3aIBYqOjiY6Ohqj0Qh43uiyepMeBYU0fRpLf1lKqC7U8cZaLXc2a0blgwe5MnIkf7z+usNN+/bV8ttvXYmPD2DQoH946aW/ij/4ckZGrfMckmvPIHn2HJJrzyB59hweP7rsuXPn+PDDD/ntt9+Ij48nOzub3Nxc6/qkpCT++9//oigKr7/+OhoHo36WtBEjRrBt2zY2bdrE7t27adeunc36FStWcPr0aQCGDx/ujhAdGjNmDGPGjCE1NZWQkBCPG10WoPaZ2pxNPUu9VvXoUKtDwRvXrYvaujU1du7kbn9/1K5dHW5ao4ZC9+4qmzbVYfToGgwcqBZv4OVEWcmzKHmSa88gefYckmvPIHn2HDK6LLB+/XoGDhxIamoqqmr+cH5jV8awsDB+/vln9u7dS/v27enWrVtRmiQpKcl6Rg/AZDIB5kr+6tWr1uW+vr4EBgZafx8xYgQff/wxsbGxDBgwgAULFtCjRw9MJhMrV67kySefBKBfv3706NGjSDGWNE8bXRYgqlIUZ1PPEpcSR+d6nQveuGVLePZZiI5GO24c/PknaO2/1Lt0gTfegOnT4fnntXTuDLVqlcADKCfcnWdReiTXnkHy7Dkk155B8uw5PHZ02YSEBB5++GFSUlK49957+eGHHwgLC7O77eOPP46qqqxatcrV5qxatmxJ5cqVrbeEhAQAZs2aZbP8+eeft9lPq9Xyyy+/EBkZyfnz5+nZsycBAQEEBAQwaNAgUlNTadmyJYsXLy5yjKL4RYU5OfiPxbRpEBYGBw/C118XuOnkydC6NSQlwciRcP17CyGEEEIIIYQLXC4yP/zwQ1JTUxk0aBCrVq3ioYcewtvBhIN9+vQB4Pfff3e1uWIRGRnJwYMHmTx5Mk2aNEFRFHQ6Ha1atWL27Nns2rXLYaEs3MupaUzyqlQJ3n7bfP/NN80VpAM6HSxeDP7+sGEDfPxxUaMVQgghhBDCc7lcZP72228oisJ//vOfm24bGRmJj48PcXFxrjZndebMGVRVvelt/vz5dvcPCgpi2rRpxMbGkp6eTmpqKnv37uXVV191WCQL93N6GpO8nnkGbrsNrl37t+B04JZb4IMPzPcnToTYWFcjFUIIIYQQwrO5fE1mfHw8fn5+NGzY0KntAwMDSUlJcbU5kYenTWEChZjG5AbK7Nlo+/dH/fRTckeNgsaNHW77+OPwf//nxerVGoYMUdmxIxdf32IJv8wrK3kWJU9y7Rkkz55Dcu0ZJM+eo6JMYaKolhF7CikoKAij0WgzdG716tW5fPmyzcA8YH4CAgICCAoK4tq1a0WL2APlncLk+PHjLFmypNSnMHG3HFMOjxx8BICFTRYSrHV+dN22775L9T17uNSyJbsmT4YCCtTkZB9eeqkbKSk+3H//SUaNOlzk2IUQQgghhChumZmZDBkyhJSUlFKbecJZLheZt912G8eOHePMmTPUrl0bcFxkrlu3jr59+9KmTRt2795d9Kg9lGUKk6tXr3rcFCYA9efW51zaObaN2Ea7mu1uvoPFyZNomzdHMRjIXbUKtX//Ajf/9VeFhx4yn+RfuzaX7t0r/rQmZSnPomRJrj2D5NlzSK49g+TZcxR2CpOIiIgyWWS63F22R48eHDt2jC+++ILp06c73C4rK4sJEyagKAp9+/Z1tTmRhydOYQLmaUzOpZ0jLiWOTpGdnN+xcWN45RV4/32048dDv35QwPW3Dz4ITz8NX3wBTzyhJTbWPFCtJygLeRalQ3LtGSTPnkNy7Rkkz57DY6cweeWVV9BqtcyePZsFCxbY3WbHjh107tyZ/fv34+/vz3PPPedyoEI0DL8+wmxhBv+xmDQJqlaFEydg7tybbv7BB9CwIZw/bx4/yLXz/UIIIYQQQngel4vM+vXr8+mnn6LX63n88cepUaMGSdenibj77rupU6cOd911F3/++Sf/z959hzdZfQEc/75pSweFUvamQNl7g2zZu+whFgURFX8OFBVRhgKCoAytimyQKXspIHvJ3nuVvcpo6W6T+/vjQqFSoCNtWnI+z/M+zXjHTU6S5uTe91zDMPj999/JkSOH1Rou7E9Mhdn4TmPypIwZ4bvv9OVvvoGbN5+7evr0eloTBwdYsEBfFkIIIYQQQrxYopNMgN69e7N48WJy5crFjRs3iIyMRCnFX3/9xZUrV1BKkStXLhYvXkzXrl2t1WZhpx4lmWfunEncDnr0gEqVIChIz535AlWqwODB+nLfvuDvn7jDCiGEEEIIYU8SfU7mIz4+PrRo0YK//vqLbdu2ce3aNcxmMzlz5qRmzZq0atUKZ2dna7RVPGSPU5gAeGX0AvRw2cS2x/jhBxzr1UNNmUJ0795QocJz1//0U1i92oF//zXx+usW1q0z4+CQqEOnaqkpziJ5Saztg8TZfkis7YPE2X7Y/RQmIuXIFCZauDmcLke6ADCr9CwyOGZI1H4q/fADebdu5U6JEmwbMeK5U5oAXL/uxscf1yc83BFf32O0a5eI4bpCCCGEEEJY0Us5hUl4eDgu9jJTfSph71OYAHhN8OJa8DW29dhG1TxVE7eTy5dxLF0aIyyM6NmzUR07vnCTGTMMevd2xNFRMWuWmfbtX67fZlJbnEXykVjbB4mz/ZBY2weJs/2w+ylMcubMSYcOHXj99depW7euNdskXsBepzABKJKlCNeCr+Ef5E9Nr5qJ20mhQvDFFzB4MI4DBoCPD7ygZ7hXL9iwAebONeja1ZGhQ+Hrr1/YCZrmpJY4i+QnsbYPEmf7IbG2DxJn+2G3U5gEBQUxbdo0Xn31Vby8vPj66685ffq0NdsmxFNiKswmZhqTJ336KeTPD5cuwZgxL1zdMGDmTPjoI3198GDo0gVCQ5PWDCGEEEIIIV42iU4yJ02aFNODeenSJUaMGEGJEiWoXr06v/76K3fv3rVaI4V4pFiWYgBM2D2BBccWJH5Hbm4werS+PHIkXL78wk0cHWHsWJg0SV9esADq1tVzaQohhBBCCCG0RCeZvXr1YsOGDfj7+zN8+HCKFy+OUordu3fz/vvvkzt3btq1a8eSJUtSdeUjkbb0qtiLCjkrcDfsLp0Xdqbroq7cCb2TuJ117Ai1a0NYGHz+ebw3e+st+OcfyJIF9u7VU53s2ZO4JgghhBBCCPGySdI8mQD58uVjwIABHDt2jL179/LBBx+QLVs2IiMjWbp0KR06dCBXrlz07duXf//91xptFnYss2tm/n3rXwbVGYSD4cC8o/Mo/WtpVp5emfCdGQaMH6//zp0L27bFe9O6dWH3bihVCq5fhzp1YN68hDdBCCGEEEKIl02Sk8wnVaxYkXHjxnH16lVWrVpF586dcXFx4e7du/z666/UqlXLmocTdiqdQzqG1h/Kv2/9S4msJbgRfINWc1vRa1kvgiKCErazChV0VR+ADz8EiyXemxYqBDt2QIsWEB4OXbvqYkAJ2IUQQgghhBAvnURXl30eBwcHmjVrRrNmzTh79izdunVj7969yJSc1hEVFZViQ5BT8+S/5bKV4983/2XIliGM2zWOqQen8s/5f5jUchL1verHf0eDB+O4YAHG/v1ET5mCeuONeG/q6goLF8LAgSZ+/NGBYcPg2DELU6eaSZ8+wQ/JZlJznIV1Saztg8TZfkis7YPE2X4kJNap+fWQ6HkynyciIoJly5Yxa9Ys1q5dS3R0NEopDMPAbDZb+3AvPT8/P/z8/DCbzZw+fZo5c+bg9oIpN+zNseBjTLg0gZuRNwFokbUFvrl9cTY5x2v7wkuXUnr6dMI9PFj/669EJ+L5Xb8+H7/+Wo7oaAcKFbrPgAG7yJYtPMH7EUIIIYQQ4kVCQ0Pp1q1bqpwn06pJ5pYtW5g1axYLFy4kKCgopucyZ86cdOvWDV9fX8qWLWutw9mdoKAgPDw8CAgISLEXUlqa/Dc4MpgBGwYwcf9EQE93MrXlVKrnrf7ijSMjcSxfHuPsWcz9+mEZOTJRbdixw6BjRwdu3zbIkUOxaJGZqlVTfw9+WoqzSBqJtX2QONsPibV9kDjbj4TEOigoiKxZs6bKJDPJw2VPnz7NzJkzmT17NpcuXQJAKYWrqys+Pj74+vrSqFEjTCarnv5p12wxEW9amPzX08mT31r9RruS7ei5rCdn756l3qx6fPbKZwypNwRnx+f0ajo5wbhx0LIlDj/9hMM770CRIgluQ926utJs69Zw+LBBgwaOTJ4M3bsn/nGlpLQQZ2EdEmv7IHG2HxJr+yBxth/xiXVqfi0kOvP7+eefqVatGiVKlOC7777j4sWLANStW5cpU6Zw8+ZNZs+eTZMmTSTBFCmqceHGHH3vKL7lfLEoCyO3j6TypMocuH7g+Rs2bw5Nm0JUFHzySaKPX6AAbN8ObdpARAS8/joMGCAFgYQQQgghhH1IdPb3wQcfsGfPHpRSFC1alGHDhuHv78+GDRt48803cXd3t2Y7hUiQTC6ZmOEzgyWdl5A9fXaO3jpK1clV+Xbzt0RbouPeyDDgxx/B0RFWrIC1axN9fHd3WLxYJ5cAI0dCu3YQHJzoXQohhBBCCJEmJDrJzJIlC3379mXXrl2cOHGCL7/8knz58lmzbUIkmU9xH46+e5R2JdoRbYlm0KZBvDLlFU7cPhH3BiVKwPvv68sff6x7NRPJZIIRI+CPP8DZGZYtg5o14WGnvxBCCCGEEC+lRCeZ169f56effqJKlSrWbI8QVpctfTYWdlzI7HazyeSSiT3X9lBhYgV+3PkjZksc1Y4HDYIsWeD4cfjttyQf/7XXYNMmyJEDDh+GKlX0cFohhBBCCCFeRolOMh0dk2WKTSGShWEYdCvTjaPvHqWpd1MizBF8svYT6s+oz/l752Ov7OkJw4bpy4MGQUBAko9fvbouCFShAty+DfXrw/TpSd6tEEIIIYQQqY5U5BF2JU/GPKzutprfW/6Oezp3tl7aStlfyzJx70RizebTuzeULQv378PgwVY5dr58sHUrtG+vR+G++Sb07w8ydawQQgghhHiZxKs78tVXXwWgQIECTJs2LdZtCWEYBuvXr0/wdiK2qKgoopJwrmBCj/Xk35fFG2XfoG7+uvRe2Zstl7bwzqp3WHR8ERNbTCRvxrwAGGPG4Ni4Meq334ju1QvKlEnycdOlg9mzoVgxEyNGODBmDBw/bmHmTDNxTm8UFARnz2JcuICqWBEKFkxyG+LyssZZPE1ibR8kzvZDYm0fJM72IyGxTs2vB0PF6r6J26MpSIoXL87x48dj3ZaggxkGZum2STA/Pz/8/Pwwm82cPn2aOXPm4ObmZutmvRQsysLK2yv54/ofRKpI3Exu9M7bm3qe9TAMgyqjRpF7505ulynDjm++0RVorWTbttxMmFARIqOpnesQ/dusJm+YP+mvXcP94eJy717M+tHp0rH3s8+4Wbmy1doghBBCCCHSptDQULp160ZgYCAZ4+ytsJ14JZlDhw4FIGvWrPTt2zfWbQk12EpDD+1RUFAQHh4eBAQEpNgLKSoqinXr1tGoUaNUPeFrUp0MOEmvlb3Yc20PAG2KtsGvmR/Zb4XgWLYsRkQE0QsWoHx8EncAsxkuXcI4cwbjzBk4cwbj7Fkij57B6dpFHHj2JJoqe3bIkAHj3DmUgwPmiRNRvr6Ja8cz2EuchcTaXkic7YfE2j5InO1HQmIdFBRE1qxZU2WSGa/hsnElhpIs2o6Tk1OKf8DY4pgpqUyuMuzotYPvt3/PkE1DWHZ6GduvbGdiy4m0+/RTGD4cx88/h1atwMUl7p0oBTdvwunTsZczZ+DsWYiMfGqTR3sKNmXgpKUoZ4yiFGtZlIpdikLRolCkCIaHhz6Js1cvjFmzcHzrLbhzR5/QacWeVXj54ywek1jbB4mz/ZBY2weJs/2IT6xT82tBSsQK8ZCjyZEva39JiyIt8F3qy+Gbh2m/oD29Snbm91y5MF24AGPHwrvv6sTxv8nk6dMQHPzsAzg7g7d3TPJI0aIxi8k9O2N6GcyfD6yAjwrD6E4QU8TZyUmXo82RA8aMgc8/1wnt6NF6Qk4hhBBCCCFSiUQnmd988w3u7u7069cvXutPmDCB+/fvM2jQoMQeUogUUS5nOXa/tZtvNn/DyO0jmXJmPq71M/HTHODLL/XyLCYTeHk9TiCfTCbz5QMHhzg3cwPmzoVSpfSsKePGwcmTMG8eeHg8se/Ro3Wi2b8//PijTjSnTtUVhYQQQgghhEgFEp1kDhkyhJw5c8Y7yRw7diyXLl2SJFOkCc6OzgxvMJzWxVrju9QXP+/TdMwPdS49XCFXrlg9kTEJZaFCuscyEQwDvv4aSpYEX1/4+289v+aKFboDNMann0L27NCzpy5VGxAAixZB+vRJftxCCCGEEEIklQyXFeI5quWtxoE+B/hy/Zc0jR5PoXtQu85r/NJ5FoaVz4d8pH17nau2bq17M6tVg4ULoX79J1by9YWsWaFDB1izBl59FVat0rcJIYQQQghhQyl2Mtfdu3dxeVbBFCFSMTcnN8Y1Hcc832WczOnAb6dmM2LriGQ9ZoUKsHu3TjDv3oXGjfXpoNHRT6zUvDls2ACZM+uVa9WCixeTtV1CCCGEEEK8SIokmX/++ScPHjwgf/78KXE4IZJF62Kt+anZTwB8tfEr5h6Zm6zHy5ULNm2C117TyWW/flCxImzc+MRK1avDtm36fM9Tp6BmTTh6NFnbJYQQQgghxPPEe7js+PHjGT9+fKzbbt++TaFChZ65jVKK+/fvExQUhGEYtGjRIvEtFSIVeLfKu5y7d44fdv7AG8veIJ9HPmrlr5Vsx3NxgVmzdCfll1/CkSN6ZGz79roGUMGCQIkSsH07NG0Kx49D7dr6RM5aydcuIYQQQgghniXePZn379/H398/ZgEwm82xbvvvcvHiRQIDA1FK8eqrr0rRH/FS+L7R97Qr0Y5IcyQ+83w4e/dssh7PMOCdd/SsKX376iKzixbp3PLrryEkBN2TuXUrvPIK3L8PjRrpRFMIIYQQQogUFu+eTB8fH7y8vADdQ9mzZ088PDwYN27cM7cxmUxkzJiR0qVLU7hw4aS2VTwUFRVFVFRUih3ryb9Cm9pyKpfuX2Lv9b00m92Mrb5byeKWJVmPmTGjPi+zZ0/49FMHNm40MWwYTJumGDHCTJcuGTBWr8ahWzdMq1ej2rbF/NtvqB49XrhvibP9kFjbB4mz/ZBY2weJs/1ISKxT8+vBUEqpxGxoMpnImTMn165ds3abxH/4+fnh5+eH2Wzm9OnTzJkzBzc3N1s3y+7di7rHZ6c/43bUbUqmL8nQwkNxMjmlyLGVgn//zcW0aaW4dUtPXVK8+B3eeusIRbzuUN7Pj/wPT948/vrrnGnXTneJCiGEEEKIl0JoaCjdunUjMDCQjBkz2ro5sSQ6yRQpLygoCA8PDwICAlLshRQVFcW6deto1KgRTk4pk0ClJcduH6PuzLoERQTRtVRXpreenmxTm8QlPBzGjTMxcqSJ0FADw1C88Ybim6HR5Br/JQ4//ACA+YMPsHz/vR5rGweJs/2QWNsHibP9kFjbB4mz/UhIrIOCgsiaNWuqTDJlnsw0yMnJKcU/YGxxzLSgfO7yLOq0iGazmzH32FyKZi3KkHpDUuz4Tk76vMyePeHzz2H2bINp0wwWLUrHoEFj+HBUbhw//wSHCRNwCAiAadMgXbrn7E/ibC8k1vZB4mw/JNb2QeJsP+IT69T8WrDaFCZKKe7evcvly5e5dOnSMxchXjYNCzXk1xa/AjB081BmHpqZ4m3Ikwf++EMXma1cGYKC4NNPoeTkfhz8ZBY4OsKcOdCqFQQHp3j7hBBCCCGE/Uhykrly5UoaN25MxowZyZYtG15eXhQsWDDO5XnTnQiRlr1V8S2+qPmFvrz8LTb7b7ZJO155BXbtgqlTIUcOXZG2wg/d+br8CiyubrB2rZ4D5fZtm7RPCCGEEEK8/JKUZH722We0adOGf/75h5CQEJRSz10sFou12i1EqjO8wXA6lepElCWKtvPbcirglE3aYTLBm2/C6dO6N9PJCYbtbUrtyA2EuGSBPXv0HJoXL9qkfUIIIYQQ4uWW6CTz77//ZsyYMTg6OjJmzBiOHTsGQLZs2Th79izbtm1j8ODBZM6cmaxZs7JixQouXLhgtYYLkdqYDBPT20ynRt4a3Au/R/M5zbkdYrsew4wZYfRoOHoUWrSAHeZqVArfxmVTfjh9GvXKK3DkiM3aJ4QQQgghXk6JTjInTpyIYRh8/fXX9OvXjxIlSgDg4OBAoUKFeOWVVxg8eDAHDx7Ew8ODXr164ezsbLWGC5EauTq5sqzLMgp5FuL8vfO0mdeG8Ohwm7apaFFYuRJWrwaKFaeGZTtHKYVx7RrRr9SGrVtt2j4hhBBCCPFySXSSuXv3bgB69+4d6/b/zoiSN29efv75Z27dusWoUaMSezgh0oxs6bOxqtsqMrlkYueVnbyx9A0syvZDxZs1g8OH4ZMf89Iiw1a2URPH4EAi6zfmztTltm6eEEIIIYR4SSQ6ybxz5w5ubm7kyJEj5jYHBwdCQ0OfWrdRo0a4uLiwatWqxB5OiDSleNbiLOm8BCeTE/OPzefrDV/bukmAnr3k449hz1lP5r25luW0Ip05nGzvdOLmiCOEhdm6hUIIIYQQIq1LdJKZMWPGp3otPTw8CA4OJiQkJPZBTCYcHR25evVqYg8nRJpTz6sek1pNAmDEthFMPTDVxi16LHt2+HmqG3l3LWZljp44YOHt3V/zW4HRLPxT8Z+3thBCCCGEEPGW6CQzT548hIWFce/evZjbihYtCsD27dtjrXvmzBmCg4NxdHRM7OGESJN6lO/B13V0L2aflX1Yf369jVsUW8WqjrS4NpmjrT4H4LP7A7na6SMa1Ldw+LCNGyeEEEIIIdKkRCeZlStXBuDIE9UpGzVqhFKKL7/8khs3bgBw+/ZtevfujWEYMdsIYU+G1htKtzLdiLZE035Be47fPm7rJsVimAyKLfqW/b76/OoPmUDvza9RtXwk774LAQE2bqAQQgghhEhTEp1ktm7dGqUUc+fOjbmtb9++ZMqUiQMHDpA/f37y5MlDrly52PqwemX//v2T3mIh0hjDMJjaeiq18tciMCKQ5rObczP4pq2b9ZTL7VoQPWMGytGRrsxjhWrBH789oEgRWLHC1q0TQgghhBBpRaKTzEaNGjFt2jSaNm0ac1v27NlZtWoV+fLlIzo6muvXr2OxWHBzc+OXX36Jta4Q9sTZ0ZmlnZdSJHMRLgZepPW81oRGPV0ky9ZU164Yq1ZB+vQ04h92ur6K4/3btG0LT/yeJIQQQgghxDMl+iRJFxcXevTo8dTtNWrU4Ny5c+zcuZPLly/j4eFBrVq1yJgxY5IaKh6LiooiKioqxY715F+ReBmdMrK001Jqz6jN7qu7eW3Ra8xrNw+TkejfeqwmVpzr18dYuxaHNm0oHbCXwxlqMuTBJ0zoVpbQ2yXxfdfNxq0VSSHvafsgcbYfEmv7IHG2HwmJdWp+PRjqvyViRarj5+eHn58fZrOZ06dPM2fOHNzc5It+WnUs+BiDzw0mWkXjk92HN3K/Yesmxcn96lVqDBmC2+3bMbdZMLiVMT/m0nkI8vIi0MuLoIIFCcuaFQzDhq0VQgghhLAvoaGhdOvWjcDAwFTXoSdJZhoSFBSEh4cHAQEBKfZCioqKYt26dTRq1AgnJ6cUOaY9mHtsLj2W6ZEAfk396F2xt03b88w437iB6eefMfYfIHjHYTKGxn0uqfL0RJUpgypbNmahZElwcUmhRyDiS97T9kHibD8k1vZB4mw/EhLroKAgsmbNmiqTTJlTJA1ycnJK8Q8YWxzzZeZb3peLgRcZtGkQH6z5gEJZCtHU2/bnLD8V53z5YNQoADIo+PGLm/z9/SHKcYiuJQ9TweEQxokTGPfuYWzZAlu2PN7WwQGKFYNy5WIvOXNKr2cqIO9p+yBxth8Sa/sgcbYf8Yl1an4txCvJfPXVV61yMMMwWL8+dc0TKIStfFXnK87eO8vMQzPp9GcntvXcRtkcZW3drGcyDOg3KgfkaMwnnzRmzHF47z34aVcEplMn4NCh2MudO3D8uF6erBqULdvTiWfx4pAune0enBBCCCGEsJp4JZmbNm2yysEM6b0QIoZhGExqNYlLgZfY5L+JFnNasOutXeTOkNvWTXuufv3A3R3eeQd++QVCQpyZPLk8juXLP15JKbh27enE8/RpuH0b/vlHL484OUGJEk8nn9mypfjjE0IIIYQQSROvJHPw4MHJ3Q4h7FI6h3Qs7rSYGlNqcOrOKVrNbcWWN7aQPl16Wzftud5+G9Knhx49YMYMCA6GOXOe6Iw0DMiTRy/Nmz/eMDQUjh17OvkMCoLDh/Uya9bj9UuWhClToHr1FH18QgghhBAi8STJFMLGPF09Wf3aaqpPrs7+6/vptrgbizstxsHkYOumPddrr+lEs3NnWLQIfHz0X1fX52zk5gZVqujlEaXg4sWnE89z5/RQ29q1Ydgw6N8fTLaf7kUIIYQQQjyffGMTIhUo5FmIZV2W4ezgzPJTy/l07ae2blK8+PjAihU6sfzrL91p+eBBAndiGODlBW3awKBBOlM9exYCAqBTJ4iOhi++gKZN4Wbc1W2FEEIIIUTqIUmmEKlEjXw1mNl2JgDjdo3j590/27hF8dO4MaxZAxkywKZN0KgR3LtnhR1nyQLz5sGkSTqLXbdOn6e5bp0Vdi6EEEIIIZKLVZLM5cuX07dvX1q2bEmDBg1i3RcSEsKOHTvYuXOnNQ4lxEutU6lOfNfgOwA+/PtDVp5eaeMWxU/t2rBhA2TODLt2Qf36cOuWFXZsGPDWW7BnD5QqpXsyGzfWPZtRUVY4gBBCCCGEsLYkJZmXL1+mSpUqtG3blt9++43Vq1c/VYnW2dmZrl27UqtWLY4cOZKUwwlhFz6v+Tm9KvTCoix0WdiFA9cP2LpJ8VK5MmzeDDly6FMq69SBK1estPNSpXSi+c47+vqoUfoAFy5Y6QBCCCGEEMJaEp1khoaG0rhxY/bt20eePHno27cv6dM/XRHT0dGRt956C6UUy5YtS1JjhbAHhmHwa4tfaVioISFRIbSc25IrQdbK1pJX6dKwdSvkywenTukezvPnE7cvs8VMWFTY4xtcXeHXX+HPP8HDA/79FypU0NeFEEIIIUSqkegk08/Pj1OnTlGxYkVOnDjBhAkTcHd3j3PdNm3aALB27drEHk4Iu+Lk4MTCjgspma0k1x5co+WcljyISGhFHdsoUkQnmt7e4O+vE80TJxK2j1MBpyj9a2myjc7G+H/HY7aYH9/ZoQMcPAg1akBgoC4O9M47EBb2zP0JIYQQQoiUk+gkc+HChRiGwY8//hhnD+aTSpcujaOjI6dPn07s4YSwOx4uHqzqtooc6XNw6OYh2sxrw53QO7ZuVrwUKABbtuhRrteu6ZGtB+I56vevM39RdXJVTgacJCQqhI/WfESd6XU4GXDy8UpeXnps7oAB+rzNiRP1tCjHjiXL4xFCCCGEEPGX6CTz1KlTODg4ULNmzRcfxGTCw8ODe1YpOSmE/fDK5MWKritwc3Jjo/9GKv1eiX3X9tm6WfGSK5fOAytV0rOR1K8Pz6v/pZRi9PbRtJjTgqCIIGrmq8nYJmPJkC4DOy7voPxv5Rm5bSTRlmi9gZMTjBgBa9fqE0GPHdOJ5qRJeu5NIYQQQghhE4lOMiMiInB1dcXBIX4TxoeEhODs7JzYwwlht6rkqcLOXjsp7FmYi4EXqTm1JlP2T7F1s+IlSxZYvx5q1dIjWxs10lVo/yssKgzfpb589s9nKBS9KvRive96Pqr+EcfeO0Yz72ZEmCMYsH4A1SdX5/DNw483bthQVxpq0kQPmX37bejcGe7fT7HHKYQQQgghHkt0kpk9e3aCg4O5H48vcocOHSI8PJy8efMm9nBC2LWyOcqy9+29tCraighzBG+teIvey3sTHh1u66a9kIcH/P23TjBDQqB5c1j5xMwsV4OuUnd6Xf44/AcOhgMTmk5gUqtJODvqH6XyeeRjVbdVzPCZgaeLJ/uu76PS75UYtHEQEdEReic5csDq1fD99+DoqIsBVaigiwMJIYQQQogUlegk85VXXgFgwYIFL1x3+PDhGIZB3bp1E3s4IexeJpdMLO2ylOGvDsfAYPKBydSaWgv/+/62btoLpU8PK1ZAmzYQEQFt28KCBbDryi6qTKrCnmt7yOyamTXd1/C/av/DMIxY2xuGgW85X473PU7b4m2JtkTz7ZZvqfR7JXZf3a1XMpmgf3/Ytg0KFnxcdWjUKLBYUv5BCyGEEELYqUQnme+88w5KKYYMGcLx48fjXCc0NJS+ffuycOHCmG2EEIlnMkx8WftL1nRfQxbXLDG9emvOrrF1017I2Vl3MHbrBtHR0OW7mdSaUpfrwdcpla0Uu9/aTYNCDZ67j5zuOVnUaRELOiwge/rsHLt9jBpTatB/bf/H051Uq6arDHXurA/0xRfQtCncvJkCj1IIIYQQQiQ6yaxbty69evXixo0bVKtWjS5duhASEgLA6NGj8fX1JV++fPz2228AfPTRR5QrV846rRbCzjUq3Ij9ffZTOXdl7obdpdnsZny7+VssKnX32Dk5wdTp0ZT+5BOUTw+iiaCMU2t9zmnmwvHah2EYdCzVkePvHad72e5YlIUxO8dQ7rdybL24Va/k4QFz58LkyXp+zXXroFw5/VcIIYQQQiSrRCeZAL/99hsffPABoaGhLFiwgODgYAC++OILZs+eHVNNtl+/fowZMybprRVCxMjvkZ9tb26jT6U+KBSDNg2i9dzW3AtLvVWc74Xdo838lhzN8KO+YfNXHPlqCT//mCHB+8riloVZbWexousK8mTIw5m7Z6gzvQ7vr35fzylqGNCrF+zdC6VL657Mxo11z2ZUlJUfmRBCCCGEeMQxKRs7ODgwbtw4evfuzeTJk9m+fTvXrl3DbDaTM2dOatasSe/evaUH08qioqKISqEvyY+Ok1LHEwljwsRPTX6iSq4qvP/3+6w6s4rKv1dmXvt5lM9RPt77SYk4nww4SbuF7Th79yyujq5MbjmZ41GdGb7RxJdfQmCgmW++sfCf0zFfqEnBJhzsfZAvNnzBlINT8Nvjx8rTK/m1+a80LNgQihSB7dsx9e+Pw++/w6hRWDZtwjxzpj5382WglD7ZNTz8qcX4z3VLSAj59+9H+ftjjoqKdZ8qUQLVvbs+v1WkafLZbT8k1vZB4mw/EhLr1Px6MJSSCeVSOz8/P/z8/DCbzZw+fZo5c+bg5uZm62aJVOZ86HlG+Y/iZuRN0hnp6JO3Dw2yPP8cx5SyL2gfP/j/QKgllKxOWfmy4JcUcisEwJIl3syYUQqAli3P0bPn0UTnOIceHMLvsh+3Im8B0CBzA97M/Sbuju4A5Nqxgwo//4xTaChRbm4c7NuXa/GY6zdZKYVrQAAZLl0iw+XLpL95E4eICExRUThERmKKisIUGYnDf/8+XExRUThY8Z/MzQoV2P/hh0RmymS1fQohhBDC+kJDQ+nWrRuBgYFkzJjR1s2JJdFJpslkwmQycfLkSby9va3dLhGHoKAgPDw8CAgISLEXUlRUFOvWraNRo0Y4OTmlyDFF4t0Lu8cby9/gr3N/AdC7Qm9+bPRjzHQgz5JccVZK8eOuH/lyw5coFK/kfYX57eaTwz1HrPV++83EBx/oOXffeMPCr7+aiecUvE8Jjgxm0KZB+O31Q6HI5Z6Ln5r+ROuirfUK/v44+Ppieji9ibl3byxjxuhzN5OTUnD5Msbx43o5cQIe/jUenmpglcMYhn4sLi6PF2dncHFBubig0qXjdnAwWfPlw/RwPeXiAhYLphkzMMLDUblyYZ41C1WnjtXaJVKWfHbbD4m1fZA424+ExDooKIisWbOmyiQz0cNlXV1dcXJykgTTBpycnFL8A8YWxxQJl90pOytfW8mwLcMYsmkIkw5M4uDNgyzstJD8HvlfuL014xwWFcbbq97mj8N/APBWhbfwa+FHOod0T637v//pWj1vvgnTp5sICzMxa5YuFJRQnk6e/NTiJ7qU6ULP5T05fec0HRZ2oEvpLkxoOoFsRYrAli0wZAh89x0OkybhsGMHzJ8PpUol8VGjk8lLl+D4cTh2TC/Hj+vlWcmkkxMULQolS+q/GTPGThLjszxMGA1HR5415thA//PatXo1zZs3x/TfJ7hvX+jUCePkSRwbN4bBg2HgQBKd8Qubk89u+yGxtg8SZ/sRn1in5tdCopPMvHnzcuXKFWu2RQhhBSbDxKC6g6iapyrdFnVjz7U9VJxYkXkd5tGwUMMUacPVoKu0nd+WPdf24GA4MK7pOPpW6fvU/JdP8vXV82l27arzvdBQPZemi0vi2lAzf00O9jnI0M1DGb1jNPOOzuOf8//wU7Of6FyqM8bw4VC/Prz+uk4Eq1SB8ePhrbeemaTFkpRkslQpnVCWKqUXb+/EZdTWVqaMLpT0/vswfbpOMjdvhj/+gFy5bN06IYQQQqQRia7u0KJFC8LDw9m8ebM12yOEsJKm3k3Z32c/FXNV5E7YHZr80YQRW0ck+zQnu67sosqkKuy5tofMrplZ+/pa3q/6/nMTzEfat4dly3RiuWIFNGig59ZM7GhSVydXRjYcya63dlEmexkCQgPouqgrbee35dqDa9CwIRw6BE2aQFgYvP22nl/z/v3HO1EKLl6Ev/6CMWN0d2u1arq30csLmjeH/v11UrZ7t26sk5NOHjt10j2mf/6pk8+QEDh6VGfRgwdDhw5QokTqSDAfSZ8epk2DGTPAzQ02bIDy5WX6FyGEEELEW6KTzAEDBpAtWzbeffddrl+/bs02CSGsxCuTF9t7bqdXhV5YlIWBGwbiM8+H++H3k+V4Mw/NpO70ulwPvk6pbKXY03sPrxZ8NUH7aNZM53Pu7rBjh87TsmaFNm10HnfnTsLbVTl3Zfa+vZchdYfgZHJi2alllPQrydQDU1HZssHq1TB6NDg66oSwQoWEJ5NDh6atZPJFfH1h3z7du3nrlk7Ev/oKoqNt3TIhhBBCpHKJHi574sQJhg8fzscff0zJkiV5/fXXqVmzJtmzZ8fhOefv1JFCEkKkKBdHFya3nkz1vNV5f/X7rDi9gsq/V2Zx58WUzVHWKseItkTz+brP+fFfPf9lm2JtmNV2FhmcEz7/JUC9ejq/mTIFFi2Cc+dg+XK9ODjo+9u1Ax8fyJ07fvtM55COwfUG075ke3ou68mea3votbwX847OY1KrSRT49FOoUwe6dIELF3Qy+YiTExQrFnuIa8mSqWeYa3IpXhx27YKPP4aJE2H4cD18du5cyJvX1q0TQgghRCqV6CSzXr16sYa/PZpm43kMwyBafgUXwibeqvgWFXJWoP2C9py7d47qk6vze6vf6V62e5L2ey/sHl0XdWXNuTUAfFX7K4bWH4rJSNpci0WLwqhRMHKk7hRcvFgvhw/D+vV66dsXatTQCWfbtlC48Iv3Wzp7aXb02sHYnWMZtGkQ686vo/SvpRnZYCTvVnkX04ED4Oene+zsJZl8HldX+O03ff5q796wbZsePjtjBrRoYevWCSGEECIVStK3QKVUghaLJXnPBRNCPF+l3JXY9/Y+mhRuQlh0GK8veZ2+q/oSaY5M1P5OBpyk2uRqrDm3BldHVxZ0WMC3r36b5ATzSYahR2wOHqxPnzxzBr7/HqpX1/fv3KlHsXp7Q7lyetTqkSP6VMpncTQ50r9mfw69c4ha+WsRHBnM+3+9T73p9TgTfQu+/BIGDdIniaa1Ya7JpXNn2L8fKlbUY5ZbttRPfGTiXjtCCCGEeHkl+pugxWJJ1CKEsK0sbllY1W0Vg+oMAuCXvb/w6qxXCYgMSNB+Vp9ZTbXJ1Thz9wz5MuZje8/tdCzVMTmaHIu3t85tdu6EK1d0p2ODBnoY7eHDus5O2bK6J/Tzz/Voz2d99BTNUpTNb2zmp2Y/kd4pPVsvbaXsb2UZs2MMZos52R9LmuPtrU+U/eADfX3MGD3E2N/fps1KlKgoXb546FD499/n/yohhBBCiASxXneDECLNcDA5MLT+UFZ2XUkml0zsvrabT05/wkb/jS/cVinF99u/p+WclgRFBFErfy32vr2XCrkqpEDLY8uTB957D/75B27e1EVRW7UCZ2c4e/Zxj2f+/Houzo0bn65bYzJMvF/1fY6+d5SGhRoSHh1O/3X9aTOvjSSacXF21lO9LFkCmTLpLL5CBX09Lbh6VXeL58+ve2eHDNFjrgsX1nOCHjtm6xYKIYQQaZ4kmULYsRZFW7Dv7X2UzV6WwOhAms1txqhto1DP6NUJi9JDbD//53MUit4Ve7Pedz3Z02dP4ZY/LUsWeOMNXRzo9m1d2LVLF12l9upV+PlnePVVyJkTevaElSshPPzx9l6ZvFjbfS2TW03G1dGVVWdWMXDDwGRrr1IQGKiT4Z07dbsnT9anP968mWyHtR4fHzhwQFfgvX9fnxj7wQcQEWHrlj1NKdi0CTp2hAIF4Jtv4MYNyJFDn8ybPr0u9jRiBJQurcddjxqlp64RQgghRIIluvCPEOLlUMizEFt7bMVnsg8b723ki/VfsOvqLqa1mYaHi0fMeleDruIz34e91/biYDgwvul43qvyXrzmv0xpGTLoWUU6ddKJ5Pr1umjQsmX6dMJp0/Ti7q5r17Rrp6dOyZDBoFfFXqRPl56ui7oyavsoKuaqSKdSnV54zEdJ4+3berl16/HluK7fvv3s0xk//lgnwp9+CgULWvnJsSYvL9i6VfcAjh4NP/0E27frDN/b29atgwcPYNYs+OWX2D2UtWrpqlHt2kG6dBAaqidmnTNHz59z+LBevvhCr9utm05Qs2a13WMRQggh0hBJMoUQuDq58kH+D+hQrQMfr/uYJSeXcPTWURZ3Xkzp7KX598q/tJ3flhvBN8jsmpk/O/6Z4PkvbcXFRSeSLVroWTi2btUJ55Iluodz/ny9ODtD48Y672jVqguf1NjHDzvH8MaSNwm9VByP8LIvTBqjohLevvTpIXt2yJZNLzdvwt69Oi+aOFH3xn7xhe5gS5WcnPS45Hr19Nyaj4oDTZqkh6PawvHj+gmcOVMnmgBubvD663p8ddn/TN3j5qbb2rkz3L2rXyBz5ujez23b9PLBB/oF0q2bnrTV3T3FH5YQQgiRVkiSKYQA9BRDvSv2pnLeynRY0IEzd89QbXI13q74Nr/s/YVIcySls5dmWZdlFPIsZOvmJoqjo56Jo359fVrh3r06n1i0SA9bXbFCLyYTGA7fQZeDhBX+hzfX+MDveyEs8wuPkSHD44TxyeTxWbe5usbeXik9FeV338HatTB7tl5atoQBA+CVV5LnuUmy5s3h4EGdhG3dqrPjDRtg3LinH2RyiI7WXdV+fvrk20eKFdOJZY8e4OHx7O0fyZwZ3npLL49+hZgzR0/cunq1XlxddaLZrRs0aaJ7Q4UQQggRQ5JMIUQsVfNUZX+f/XRd1JV/zv/DuF3jAPAp7sNMn5lkcM5g2wZaickEVavq5bvv9GjKR3NxHjoEWBxh4TyMPlVQnhfw6NWVOpdWkz2bwzMTyGzZdM9pUhiG7hSsV0/nNaNGwcKF+hzSlSuhdm2dbDZtqtdNVfLm1Ynl0KEwfDj8/rs+4XTBAihePHmOeeOG7jWdOFEnhaCD27q1HhLboEHin6g8eaBfP72cOgVz5+qM/+xZmDdPL56eeihtt246OCYpdSCEEELIf0MhxFOyumXl79f+ZmDtgWRyycSgOoNY1GnRS5Ng/pdh6OGogwbpzrirV/X0KOH3snDwi6W4ObkRmHUtJd7/ksmTdVL68cfQvbvuyKpYEfLlS3qC+V+VKun87ORJ3bHm5KQ7CZs31wVd5817ulquzTk6wrffwpo1OhM/ckQ/kJkzrXcMpfQQ1q5ddZXYQYN00LJl03OcXrigx0M3bGi9TLxYMV2J9vRp2LNHvwBy5YJ793QyXa+ebsunn+ohwzIlihBCCDsmSaYQIk4OJgeGvTqMu5/dZWj9oZgM+/m4yJ1bd2I5O0PZHGWZ1mYaAN/v+J55R+eleHuKFtWddRcuwCef6PM4Dx3SOVaxYroT78lKualCo0a6ka++qgvr9OgBb74JISGJ32dwsE7oypfXvYbz5ukTYV95Bf74Ay5f1j2o+fNb7WE8xTCgcmX48Ud9vPXroVcvPRT36lX44QedVJcooavYnjmTfG0RQgghUin7+dYohEiU1Fg9NqV1KtWJz175DICey3py6MYhm7QjTx4YMwYuXdL5S5YscP48vPOOrkL7/fcQFGSTpsUtZ059Yum33+phpNOn6wTtyJGE7ef0afjoI/0E9OmjK7+6uuru3f37dUXb117TvwqkJAcHnURPnqwrNi1ZoofOurjo4bWDB+tfCKpW1eemXr+esu0TQgghbESSTCGEiIcRDUbQuHBjwqLD8Jnvw53QOzZrS+bM8PXXehrH8eP1UN0bN+Dzz3Un3sCBuvptquDgAF99pc/VzJ1bj/2tWlV3zT5vSOmjQj6NG+vu2vHjdQbt7a17Ea9e1fuoUCHlHsvzODvruUMXLNAJ54wZeiy1g8Pj4bV58+ohvFOn6rlFhRBCiJeUJJlCCBEPDiYH5rafSyHPQvjf96fLoi5EW2x7QmT69HpmjbNn9byfxYvruTpHjIACBeD998Hf36ZNfKxuXX3Ca7Nmemzv22/rYjn/7Xq9dUs/gMKFddK2bp0eotqqFfz9t+4h/PhjXXAntcqYUU/n8vffcO0a/PyzHtJrsTweXpsjh34OwsJs3VohhBDC6iTJFEKIeMrsmpmlnXUhoH/O/8OAfwbYukmAnkHjjTceV8itUkXncX5+uuPv9dfh6FFbtxJdmGflSj2u18FBn1NZqRIcOKCr0HbvrrtlBw7UY4KzZNHds+fPw/LlumcwrVVvzZ5dV7ndvl0/jhEjoFQpiIzUPbH16+tuaCGEEOIlkiL/rR0cHHBwcMDRUWZMEUKkbWVylGF6m+kAjNk5hrlH5tq2QU8wmaBtW9i1S3eYNWoEZrOuiVOmjJ7V499/bXyOrckE/fvrMrn58+tu2EqVdE/f7Nk6+apaVQ83vXIFRo4ELy/bttlaChbU888cPap7aDNn1sGqWvXhvDlCCCHEyyFFkkylVMwihBBpXcdSHfmi5hcA9Frei4M3Dtq2Qf9hGLoezdq1+nTADh30bStWQJ06jgwcWJM1awzbzrJRo4buwWzTRp+b6eKiu2P37NGJl6+v9eeESU0aNtSPs1gxXaW2Zk3dWyuEEEK8BFIkyezRowc9evTA19c3JQ4nhBDJbtirw2jq3VQXAprnQ0BogK2bFKfKleHPP+HECX0qoJOT4tixrLRq5UjFijB/vu7ttInMmXVF1p07da/ltGm6wfbC21s/9oYN9dQuPj66fLD8ICuEECKNS5Ekc9q0aTGLEEK8DBxMDsxpN4fCnoW5GHiRzgs727wQ0PMUK6Zn2jh1KprWrc+SPr3i4EHo0kXf9/vvNppr0zCgenV9/qU98vSE1avh3Xd1ctm/v56aJTLS1i0TQgghEi3RSWbRokUZNmwY/qmmdGHqdOnSJbp3707x4sXJmDEj7u7ulC5dmm+++YYHDx7YunlCiCTwdPVkaZelpHdKz4YLG/h83ee2btIL5c0LPXse4+zZaIYM0Z2J587p6SdLlpRTA23CyUlXaZowQZ+zOnWqnrrlju2myRFCCCGSItFJ5tmzZxk8eDCFCxemXr16TJkyhaBUNQt46nDz5k2uXLlC27ZtGTlyJD/88AM1atRg2LBh1K9fn6ioKFs3UQiRBKWzl2aGzwwAfvz3R+YcmWPjFsVPliwweLAu4jp2rJ7C8sIFfWrgkiW2bp0dMgz43/909d0MGWDzZqhWTc8rKoQQQqQxiU4yBw4ciJeXF0optmzZwttvv03OnDnp2rUrq1evxmKxWLOdaVaVKlXYtGkT3333He+99x59+vRh0qRJDB8+nH379rFu3TpbN1EIkUTtS7bny1pfAroQ0IHrB2zcovhLnx4++kgXPH10amC7dvDtt3JqoE00a6bP0/Ty0l3M1avrSrRCCCFEGpLoJPPbb7/l3LlzbN26ld69e+Ph4UF4eDgLFiygVatW5M6dm379+nHgQNr5spWSvB6W5L93755tGyKEsIpv6n9DM+9mhEeH03Z+21RbCOhZPD3hr7/ggw/09UGDoHNnnXSKFFaqFOzerbuVAwN14vnrr7ZulRBCCBFvSS78U7NmTSZOnMiNGzdYuHAhrVq1wtHRkVu3bjF+/HgqV65M6dKlGT16NNeuXbNGm9Ok8PBwAgICuHz5MitWrGDAgAG4uLhQp04dWzdNCGEFDiYH5rSfg3dm7zRRCCgujo4wfjxMmqRPE/zzT6hdWw+pFSksWzY92amvry7/+957+heA6LT1mhJCCGGfrFZdNl26dLRr146lS5dy/fp1fv75Z6pWrYpSiuPHj/PFF1/E9N4lVmhoKH/99RfDhg2jXbt2FChQAMMwMAyDIUOGxGsfDx48YMiQIZQpUwZ3d3c8PDyoUqUKP/zwA5HJWM1v8uTJZMuWjfz589O6dWvSpUvHsmXLyJcvX7IdUwiRsjK5ZGJp56W4p3Nnw4UNfLbuM1s3KVHeegs2bNB5zoEDUKUK7Nhh61bZIWdnmD4dRozQ13/6CVq21L2bQgghRCrmmBw7zZw5M++99x7vvfceJ06coEePHuzduxdzEidj2717N82bN0/09hcvXqRevXoxFXHd3NyIiIhg79697N27l9mzZ7N+/Xo8PT2f2jYyMpLDhw/H6ziurq6UKlUq1m0+Pj4UL16cwMBAduzYwYYNG6RQkhAvoVLZSzHDZwbtF7Rn7L9jqZCzAq+Xe93WzUqwWrVgzx5o00ZXnK1fHyZOhDfesHXL7IxhwIABep6Z7t1hzRp45RVYsQIKFbJ164QQQog4JUuSCTohnDVrFvPnz+eOFcuwe3p6UrFixZjl448/5saNGy/czmw206pVK/z9/cmVKxczZ86kYcOGWCwW/vzzT3r37s2BAwd47bXXWL169VPbX7t2jSpVqsSrjaVKleLo0aOxbsubNy958+YFoH379vz555907NiRdevW0bBhw3jtVwiRNrQr0Y6van/FsK3DeHvl25TKXoqKuSraulkJVqAAbNsGPXrA4sXw5ptw+DB8/70eWitSULt2OhitWsHx47ry7JIl+tcAIYQQIpWx6teEixcv8scffzBr1izOnDkDgFKKdOnS0bJlS3x9fZO0/9q1a3P37t1Yt33xxRfx2nb69OkcOXIEgEWLFlGjRg0ATCYTnTt3xmKx0K1bN/766y/Wr19PgwYNYm2fM2dONm7cGK9jpU+f/oXrtGvXDhcXF6ZNmyZJphAvoaH1h3LgxgFWnVlF2/lt2dt7L9nSZ7N1sxLM3V2fm/nNNzB0qJ7u5PhxmDcPMmWydevsTMWKuiBQmzawbx80aKBPoE3i/1YhhBDC2pKcZAYFBbFgwQJmzZrF9u3bUUqhHta9r1GjBr6+vnTu3JlMVvg24uDgkOhtZ8zQ89jVr18/JsF8UpcuXRg4cCAXLlxg5syZTyWZLi4u1KtXL9HH/6/o6Giio6OluqwQLymTYeKPdn9QdVJVztw9Q6eFnVjbfS1ODk62blqCmUwwZIguetqjhx6xWb06LF8ORYvaunV2Jk8e2LJFJ5aLFumAnDgBw4frQAkhhBCpQKL/I61cuZLOnTuTM2dO+vTpw9atW7FYLHh5efH1119z5swZtm/fTp8+faySYCZFaGgo27dvB6BZs2ZxrmMYBk2bNgVg7dq1Vjv2zZs347x94sSJREdHU61aNasdSwiRumRyycTSLroQ0Cb/TfRf19/WTUqSjh1h+3bIlw9OnYKqVcGKH5cp6uJFXbC1fHlo2xa+/BL++EN3EKb6aVvc3GDBAhg4UF8fORI6dEgDDRdCCGEvEt2T2bp1awzDQCmFh4cHHTt2xNfXl1qp8PyQEydOYLFYAChduvQz13t0340bN7h79y6ZM2dO8rE///xzjh8/TqNGjShQoADBwcFs2bKF5cuXU6xYMT788MNnbhsREUFERETM9UeFgqKiooiKikpy2+Lj0XFS6njCNiTOyadIpiJMazWNjos6Mn7XeMplL0f3Mt1t1p6kxrp0aV1ptlMnB3buNNGsmeL77y38738WDMOaLU0e587B9987MGuWQXS0bvChQ7B0aez18udXlCihKF780QIlSiis8G/BegYPxvD2xqFPH4wlS1C1ahG9eDHkzSvvaTsisbYPEmf7kZBYp+bXg6EejW1NICcnJ5o2bYqvry+tW7fG2dnZ2m2LFy8vLy5evMjgwYOfOY3JihUraN26NQCHDh2ibNmyca63bNkyfHx8ADhy5MhzE9L4Wr58OZMmTeLAgQPcvn0bR0dHvL29adOmDZ9++ikZM2Z85rZDhgxh6NChT90+Z84c3Nzcktw2IUTKmXt9LvNvzsfJcOK7It/h7eZt6yYlSVSUid9+K8v69QUAaNDgIu+8cxgnJ4uNWxa3q1fTs3BhUTZvzovFogfxlCt3i0aNLnL/vgtXrrhz+XIGrlzJQGDgs/+feXiEkzdvMPnyPSBv3gfkyxdM3rwPyJw53GZJtufJk1T77jucAwMJ9/Rk18CB3PdO268vIYQQLxYaGkq3bt0IDAx8bk5hC4nuybx27RrZsqWNIhYPHjyIufy85OzJ+57cJilat24dk+Am1IABA+jXr1/M9aCgIPLly0fjxo1T7IUUFRXFunXraNSoEU5Oae9cMhE/Eufk11Q1JXhhMKvOrGLc9XH82/NfsqfPnuLtsGasW7eGCRPMfP65ifXrCxAWlo/5883kyGGlxlrB8ePw3XcO/PmngcWis8CmTS18+aWF6tU9gaenrLpzJ4qTJw1OnoQTJ4yHlw0uXTIIDHQhMNCFY8eyxtomY8bHPZ7Fiz/uBfXygiSUE4if5s2hXTuUjw8ux49T5+uviZw0ib/d3eU9bQfk89s+PDPOFgscPKiHmaRLZ7P2CetJyHs6NU+HmOgkM60kmGmZs7NznD3ETk5OKf6PxBbHFClP4py8ZrebTbXJ1Th15xTdlnbjn9f/sVkhIGvF+tNPoUwZ6NwZduww8corJpYv1+c62tLhwzBsGCxcCI/G67RqBV9/DVWqmHheSYKcOfXy31pvwcE8TDz1cvy4/nvuHAQFGezebbB7d+xtXFx0caSSJaFECb2ULAlFilj5+2CRIrBzJ3TtirF6Nc7du1O0WzecmjWT97SdkM9v+xArzmfOQK9esHUrvPqqrsom80u9NOLznk7N73mrvBIPHz7MmjVruHjxImFhYUyZMiXmvqioKG7fvo1hGOTKlcsah0uwDBkyxFwODQ195npP3vfkNkIIYQ0eLh4s7bKUqpOqsuXiFj5Z+wkTmk2wdbOSrEkT2LVL92yePg01a8KMGboWTUrbvx++/Tb2OZbt2sFXX0GFCknbt7s7VK6slydFRMDZs4+TzkfLyZMQHq4T3sOHY2/j4KCTz4oVdbseLZ5Pd6zGX8aMuuTvp5/CuHGUmDMHi1IwdarOdoUQLwezGcaN0x9s4eH6tg0bYMAAGD3apk0T4pEkJZmBgYH07NmTpQ//myulMAzjqSSzXLly3Lt3j9OnT1OoUKEkNTgxcufOHXP56tWrzzwn8+rVq3FuI4QQ1lI8a3H+aPcHbea14afdP1ExV0XeKP+GrZuVZMWKwb//Qteu+sf0jh1h8GAYNChlZtbYtUsnl6tW6euGAZ066QKsZcok77GdnfX0LqVKxb7dbAZ//9i9no+WoKDHl2fPfryNl5dONp9MPnPlIv7nezo4wNixmIsUwfjgA0xz5+pGLFlCqhrHLIRInOPHoU8f/aEHer7cNm3ggw9gzBj9K1jnzrZtoxAkIcmMjo6mefPm/Pvvv7i5uVG/fn3++eefWNVQQZ/n2LNnT0aPHs3SpUtjnWOYUkqUKIHJZMJisXD06NFnTmNy9OhRAHLmzGmVyrLJRarLCmuTOKesZoWa8VWtrxi2bRjvrHyHYp7FqJy78os3tILkjLW7u85lvvzSxLhxDgwdCocPW5g61Uz69E+vfy/sHnuu7+HIrSPkcs9FpVyVKJK5CCYj/lnpjh0GI0aYWLtWb2MyKTp3VnzxhZkSJfQ6tnxZ58+vlyZNHt+mFFy7BocPGxw8aHDggMGhQwYXLhj4+z/OCR/JkUNRvryiXDlFhQr6cqFCz088o954gwMBAbwydizGzp2oqlWJXrIk+TNukeLk89s+RIWFUWThQhwXLIDISFTGjJi//x715ptgGJguXcJhzBhUz55EFyki7/U0zO6ry06cOJF3332XwoULs3nzZnLnzk2uXLm4desWZrM51rq7d++mevXqNGjQgHXr1lml4Y/Ep7osQJ06ddi6dSuvvvoq69evf+p+pRTe3t6cP38eX19fZsyYYdV2JoWfnx9+fn6YzWZOnz4t1WWFeAlYlIWRF0ayO2g3WZyy8EPRH8jklMnWzbKa9evz8+uvZYmOdsDLK5DPBmwjNMNJToec5nSoXq5FXHtqO1eTK4XdCuPt6o23mzeF3QqTM11OjP9kVEePZmH+/GIcOaLrA5hMFurVu0KHDqfJnTttzhcZHOzEhQsenD//eLl6NUNMwaInublFUbBgIIUKPVrukzdvMA4Osf+lu1+9SrXhw3G/do1oFxf2fvopN/873lcIkapl9PenwoQJZDp/HoAblSpx6N13Cc/6uACZYTZT/ZtvyH7oEME5c7J5zBii3d1t1WSRQlJzddlEJ5l169Zl27ZtLFu2jJYtWwI8M8mMiorC1dWVHDlyxBqSag3xTTKnTJnCW2+9hWEY7Ny5k2rVqsW6f8GCBXR+OLzgn3/+oUGDBlZtpzUEBQXh4eFBQECAVJcVViVxto2giCBqTq/JqTunqJWvFmu6rUn2QkApEWulFBfuX2D25j2MmbuXsMy7Idd+cIx4al1vT2/K5SjH1QdXOXjzIOHR4U+t4+niScWcFamYqyLpAiqzZloV9v7jBRg4Oip69FD072/GBmdjJLvQUDhyRPd46l5POHrUIDLy6cTTxUVRurTu7SxTxkx4+E569qxCxugHOHTpgmnTJpTJhGXUKCwffJCAMbgiNZPP75dYZCSmkSMxjRyJER1NpLs7auxYTL6+cb9/79zBsXp1jIsXsTRrhnnJkpQ5X0FYVUKry2bNmjVVJpmJHi575MgRDMOgcePGL1zXyckJDw8P7ty5k9jDxbh3716sJNZi0XOyhYaGEhAQEHO7i4sL7k/8gtOjRw/Gjx/PkSNHaN++PTNmzKBBgwZYLBYWLVpE7969AWjWrFmqTDCfJNVlRXKROKesLE5ZWNZlGVUnV2Xb5W18tuEzfm7+c4oc25qxvh9+n91Xd7Pryi52Xd3F7qu7uR16W99Z7okVwzwpnaka7atXo1qealTNU5Usblli7o62RHP89nH2Xtsbsxy6eYh74fdY77+e9f4PR6HUAipmJZ9DZXyqVKZBicq456qMo2Pup3o80zoPD6hVSy+PREXpczn374cDBx4vwcEGe/ca7N0L4ADUZcAARYkSblQuu4Z+1ftS5t/JOPTvj8PGjTBqlJ72QLwU5PP7JbNvH7z5Jhw5AoCldWs2+PjQoHv3Z8c5Z05YvBhq1sT011+YRoyAOOZbT/OUgtWrIU8e25cyT0ZpvbpsonsynZ2dcXNz4969ezG3PasnE3S1VqUUwcHBiW8tj3suX6RHjx5Mnz491m3+/v7Ur18ff39/QJ8varFYCH9YmatChQqsX78ezySV90s+j3oyU/LXiqioKFavXk3z5s1T9QtZJI3E2bZWnFpB63l6Pt2prafyZoU3k+1YSY11lDmKwzcPs+uqTih3XdnFqTunnlrPyeRE+ZzlqZanGuWzVWPh+Gr8PdsbMPjwQ12f4kWV9pWCxcsi+fqno5wI3Au592Lk2YuR4wgWI/qp9XO656Ry7spUzlVZ/81dmRzu9lHsxmLRU6kcOKCTz/37LezaFUVQ0JPTYCk+Yhzf8xlORGPGxO4Sb3Cq21Dy1chL8eKQO7d0cKY18vn9kgkP14nh6NG6eljWrPDzz0S1bcvqv/6KX5xnzoQePfTl5cv1/E0vk2++0ZXlnJ1h82b4z+jEtC4h72lb5AbxleiezKxZs3Ljxg1CQkJIH1dFhyecOXOGkJAQChcunNjDWYWXlxeHDx9mzJgxLF68mAsXLuDk5ESpUqXo2rUr//vf/0gnE9kKIVJYq2KtGFpvKIM3DeadVe8wcd9EMrlkStDi4mj9KSqUUvjf99e9lA+Tyv3X98c5pLWQZyGq5dE9lNXyVqN8zvKx2tRzFnxbVH8vGD9eF0icPz/uKTssFj0FybffwsGD6YCKuLlV5N16b/Ppp5ApaziHbx6O1eN57PYxbgTfYOXplaw8vTJmX3kz5o2VeFbKXYmsblmfPmgaZzLpqTKLFNFVdaOizKxa9TflyjXn6FGnh72eBosPfMyqSy0YwZd0YBE1Tkyl/NdzGMdHtOMLLO4eFC/OU4u3t/4+l+YopecQnDpVV9f93/8gb15bt0qIuO3cCT176vmPALp0gQkTIFu2hFUw8/WFPXvg55+he3d9uWjR5GlzShs9Wv8jAT1/lI+Pfnzyvk51Ep1kVqlShRUrVrBq1So6der03HXHjh0LQM2aNRN7uBiPeiETK0OGDAwdOpShaXj4gFSXFdYmcba9z2t8zsHrB1lyagm7ru5K8PbODs5kcsmEh7MHnq6eZHLOhIeLx+O/LpnI5JwJdyd3zgedJ9PFTGRxz0ImZ52kOjs6cz/8Pnuv72X31d3svrabvdf2civ01lPHyuSSiSq5qlAldxWq5qlKlVxVyJY+W+yV1NOvpwEDoFgxg549HVi3zqBqVcXixdEUL67vN5th0SKD775z4Ngx3Z2WPr3i3XctfPSRhezZH+3bgQrZK1AhewV6l9enOoRGhXLo5iH2Xd8Xs5y6c4orQVe4EnSFpSeXxrTDy8OLirkqUilXJWrkqUHNfDVfumG2UVFRGAbkyBFF3rzQtOnj++7eLcjp0/NYvnonpWcNoNDV7QxgJL2ZxLDgr/h177vs3Rs7ozSZdEXbokUVxYsrihVTFCsGxYopsmQh9bFYMFatwjR6NKZ//425WY0di+rWDXO/fsSUH07j5PP7JRAaimnwYEwTJmAohcqZE/NPP6HatNH3P/G9L95xHjkShwMHMG3fjvLxIXrbNkjjc8Cbfv0Vh88+A8A8YACm5csxjh1DtW5N9MaN8JIUxbT76rJLly6lXbt2FC1alE2bNpEzZ844h8uOHj2azz//HMMw2LhxI3Xq1LFa4+2FVJcVwj4opTgdeprA6EBCzCGxlmBz8FO3hZhDCDWHokjUx3gs6Yx0RKrIp253wAEvVy+Kpi9KUTe95HLOlaBpRv7rwoWMjBhRjdu33XBzi+Ljj/cREuLEwoVFuXJFfwlyc4uiRYvztGp1jowZE/dPNMwcxvmw85wNPcvZ0LOcCzsXZ0XbIm5F6JazG+UzlH/pks0XUoqce/ZQcuZMMly5AsBdj1zMK/0Ri5w6cfmqB1evuhMa+uwhWxkzRpAnTzB58z54+DeYPHkekD17KA4OKfVANCM6mrxbt+K9eDEZL18GwOzkxOV69XC/do2sx47FrHu9alXOtG/PvWLFUraRQjwhy9GjlP/5Z9xv3ADgUv36HO3ZkygrJITO9+5Rr18/XO7d4+orr7C3f/80Ox4+/z//UOFnXbPgVMeOnHztNdxu3qTOp5/i/OABV2vWZO+nn6bZx5dYL2V1WYBWrVqxatUqcufOTffu3Zk4cSJBQUHMmzePI0eO8Oeff3L69GmUUnTt2pXZT844LRJMqsuK5CJxTrssysKDiAfcj7jP/fD7BIYHPnU5MDyQe+H39O1h97l8+zKWdBYCIwIJjAiMtb+CmQpSOVdlquapStXcVSmfozyuTq5Wb/etW9C5swPbt8dOVjNlUnzwgYX337eQKZPVD8v98PscuHGAfdf3sff6Xv4+9zehUaEA1Mxbk6F1h1KnQNr/MTTB7+noaIyZM3EYOhTj+nUAVIUKmL/7Dkv9V7lxA06dMh4ujy9fuvTsL3Tp0imKFOFhr6deSpRQlCyZDENvQ0IwTZ2Kadw4jIfJpcqYEUufPlj+9z9dEAUwdu3SvZvLl8dsaqldG0v//qgmTdLkF1T5/E6jgoMxDRyIw6+/AqDy5sXs54d6xlzuiY2z8e+/ODRogBEVhXnECCyffmqV5qckY948HHr0wFAK84cfYvn++5j3qrF1Kw5NmmBER2MePBjLwIE2bm3SvSzVZVFJEBwcrHx8fJRhGMpkMj21GIahDMNQ7dq1U2FhYUk5lFBKBQYGKkAFBgam2DEjIyPV0qVLVWRkZIodU6Q8ibP9+G+so83R6l7YPXX+7nl1K/hWirYlIkKpXr2UAqWyZFFqxAilUvDjTSml1I0HN9THf3+snL91VgxBMQTVcGZDtfPyzpRtiJUl+j0dHKzUsGFKZcigAwNKNWmi1MGDz1x9/36l5sxRatAgpTp1UqpsWaWcnR9v/t/F0VGp8uWVevNNpX76Salt25R68CCRDzQgQKkhQ/QL6NEBcuRQauRIpe7ff/Z2x4/rBjg5Pd6ubFmlZs9WKioqkY2xDfn8ToPWrVOqQIHHr73evZ//elVJjPMvv+jjmEz62GnJ4sVKOTjo9r/zjlIWy9PrTJr0+LlcuDDl22hlCYm1LXKD+EpSkvnIypUrlY+Pj8qWLVtMYpkpUybVokULtWzZMmscQihJMkXykTjbj9QWa4tFqSNHkpBkWMmVwCvq3ZXvKqdvnGKSzRazW6j91/bbtmGJlOQ437ql1P/+9zgJMwylfH2VungxXptHRyt1/rxSq1cr9eOPSr39tlJ16ijl6Rl34mkYShUrplTXrkp9/71S//yj1J07zznApUtKffSRUm5uj3dSuLBSv/2mVEJ+1L58Wal+/ZRyd3+8Hy8vnf2GhMR/PzaU2t7T4jnu31fqrbdiv9bimfQlKc4Wi/5R5dEvehcuJHwftrB69ePPIF9fpczmZ6/74Yd6PTc3/ctXGiZJ5jNERUWp8PBwa+9WKEkyRfKRONsPifXzXbh3QfVc2lM5DHWISTbbz2+vjt48auumJYjV4nz2rFKdOz/+UuzsrNSnnyp1926idmexKOXvrzsnvv5aqRYtlMqd+9m9ngUKKOXjo9Q33yi1YoVSNzcdV5Y33tDdoY9WqlBBqfnzdWabWHfv6h7cbNke7zdrVn3g52a7tifv6TRi5Uql8uR5/Pr63/8S9OtakuMcFqZU5cqP3zOhoYnbT0pZv14pFxfd3k6dXjzCICpKqUaN9Pr58il1/XrKtDMZvCxJZuIrNzyDo6MjzmmyzrkQQgh755XJiyltpnC873G6lemGgcGiE4so82sZui/uzpk7Z2zdxJRVuDDMmwe7d0O9enrKgDFj9O1jxug5/RLAMKBAAWjbVk91t3IlXL0KN27AX3/B8OHQoQMUKqTXv3hRT2ezctAuolq1JXu9khjTp0N0NOcK1GfrV2s4/+c+VMdOJKnKkKcnDByoD+jnB15eEBAAgwZB/vzQrx88PNdTiAS5e1dPKdKypX6xe3vDli16ahJ395Rrh4sLLFqk5908cADeeUenu6nR9u3QurX+fGndGv7448UTKzs66nmxihbV79V27fTnlbAZqyeZQgghRFpXNEtRZrebzeF3D9OuRDsUitlHZlPCrwS9lvXC/76/rZuYsqpUgQ0bYNUqKF0a7t2D/v2hWDGYNUtPbpoEOXLoaVa+/BL+/BPOnYN7dxUHR63hUuH67KI6bVkKwGLaUo1/8b64gTrDGlPY28DTE+rX17ngH3/AsWMQHZ2Ihri6wnvvwZkzMGcOlC0LISEwdqzOfN98E06cSNJjFS+f++H3GffvOGYcnBH7jiVLoGRJ/R4xmeCTT+DQIahd2zYNzZ9fJ2ImE8ycCb/8Ypt2PM/evdC8uX7fNW6s2xvfQkeenrBiBWTKpOccffvt1JtI24F4zZO5ZcsWqx1QpjBJOpknU1ibxNl+SKwTpphnMea1nceBGgcYumUoq8+uZurBqcw6PIte5Xvxec3PyZMhj62b+ZRki3OjRvDqqxh//KEr0V66BL6+qDFjMH/3HapRo6Qfw2zGWLQIj9GjKXfoEADK0RH12muEvNePHFElef2AQZmDFg4cgKNHDQIDDTZtgk2bHu/G1VVRpoyiQgVF+fKKpk0VeRISqg4doH17jLVrMY0Zg2nzZpg+HaZPx9KyJZbPPkNVr570x5tE8p62nRvBN5iwZwK/7/+doIggAAJCAvigYFccPvwQ08KFAKjixTFPmoSqVk1vmIhYWS3OtWtjGjEChy++QH30EeZSpVBWmMfeKg4fxrFxY4ygICy1a2NesECPUEjIYy5YEGPOHBxatcKYORNzyZJY+vVLvjYnA7uaJ9NkMlll7jDDMIhO1E+L9k3myRRCiNThZMhJ5lyfw+HgwwA4GU40y9qMdtnbkckpk20bl8JMEREUWrWKogsX4hSqp4G5Va4cx319CSxcOOH7i4wk38aNeC9ZEjNnYLSLC/6NG3OuVSvCs2WLc7voaIPLlzNw/rwH589n4vx5Dy5c8CA8PPbv6C4u0bz55lEaN76YqJlKPE+fxnvxYnLt2oXx8KtTQMmSnGnXjluVKqXJ6U9E4lyPuM7SW0vZcHcDUUp/yc/ilIU7kXfofBQmr3HFPTgMi8nE2XbtONWpE5Z06Wzc6icoRaUffiDvtm2Ee3qy+YcfCM+c2aZNcr9yhZoDB+ISGMjdokXZOXQo0a6Jnz6r4MqVlJ08GWUY7Bo4kJuVK1uxtalHmp8n02Sy3qhaSxKH1NgzmSdTJBeJs/2QWFvH5oubGbx5MDuu7ADAzcmN96u8T79q/cjsatsva5DCcb5zB9PIkZh+/RUjMhIAS5cumIcOhYIFX7x9YCCm33/HNGECxs2bAKgsWbD07Yvl3XchS5YEN8ligbNn4cABg4MHDdavN3HwoE4CGza08NtvZvLnT/ButZMncfjxR4zZszEe9iKo0qUxf/IJqlOn+A/ts5I4Yx0drc8pffBAX364GBZLrOuYzc+//nB9Iz7rm82Pr1ssUKwYlvr1oXjxlyYBP3TzEKN3jmbhiYVYlP4+Wz1PdT575TOau5XnZNcGlPv3AgAPihXEZeY8qFDBKse2+ns6JATHWrUwjh3DUqMG5nXrwFaJ8LlzODZogHHtGqp8eaLXriXJEyUrhcN772GaMgWVIQPRW7ZAqVJWaW5yk3kylVLLly9Xnp6eytvbW/3+++/q7NmzKjw8XEVERKhz586p33//XRUtWlR5enqqFStWWKNQkV2T6rIiuUic7YfE2nosFov6+8zfqvLvlWMq0Wb8LqMasnGICgy3baW/R3EOCg1S+6/tVzMOzlD91/ZXTf9oqsr8UkZ9u/lbFR5l5UrwFy4o9dprj6tnpkun1Mcf67ks43L9ulJffKFUxoyPt8mXT6nx4/UEnFYUHa3U2LGPi1VmyKDU5MlxT7kXb1euKPXJJ7GnPylQQKkJE6w//YnFoiuRnjun1I4dSi1dqtTvvyv17bcqum9fdblWLWWuV0+pkiV1VVzDeHbJ3pRecudWqnt3paZN01PPpDEWi0Vt8d+imv3RLOZ9zhBUp18bqKMThynLhx/qiV8fPudRDob6uh4q8zfu6uD1uOeXTYxk+ew+c0YpDw8dp3fftd5+E+LSpcdzhpYsqdTt29bbd0SEnjsJlCpU6NmfRanMy1JdNl49mXHZv38/NWvWpFq1avz111+4PqNLOzw8nKZNm7Jr1y527txJ+fLlE58R27lHPZkp+WtFVFQUq1evpnnz5tLr8RKTONsPibX1KaVYcXoFX2/8msM39TDazK6Z+eyVz3i/6vukT5c+2dtgURYu3LvAkVtHOHLzCIduHGLXhV1cj7yOWZnj3KZolqL80vwXGhRqYN3G7N8Pn38O//yjr3t4wBdfwIcf6sI6587pyrTTpj2u/liypN6ma9dk7Qk8dUrX7tm5U19v2hQmTYK8eZOw03v34NdfYdw4uH1b35YlC3zwAfTt++yeWLNZ9zbeuvV4uXnz2ZfDwhLWLsOADBl01c0nFweH5L9useiKxNu2PV3hs0gRaNBAL/XrJ6qnOiVYlIXVZ1bz3bbv2HF5B1lDoN4lg15B3tT1B9cTcVSarlGDCL8JNDn0KZsvbiaXey529NqBVyavJLcn2T67V62CVq30TwJTp+o3SEq5fh3q1NHDDooUgc2bIVcu6x4jIEAXLvP31xWy165N1GeMUoozd8+w7dI2tl/ajk9xH1oVa2Xdtj6UkFjbIjeIr0QnmZ06dWLRokUcO3aM4sWLP3fdEydOUKpUKTp16sS8efMS1VAhSaZIPhJn+yGxTj4WZWHh8YUM2jiIU3dOAZA9fXYG1BrAO5XfwcXRxSrHuRVyiyM3j3Dk1hGO3jrKkVtHOHbrGCFRIXGu7+niSZkcZSiTXS8mw8SgTYO4EazPe+xWphs/NP6BnO45rdK+GGvXwmef6WqaoDO5KlVg2bLH1WirV4cBA/T0DlY8Ned5zGZdLParr3T+4+EB48frWSaSNKozLEwXBho9Gi7oIZO4ucHrr4Oz89PJY0BAwitfurrqUrzZs+slRw7MWbJwPCCAEvXq4Zg7d8ztZMmStGldrCE8HHbsgPXr9bJnT+xKxIYB5cs/Tjpr14b0yf+jzPNEmaOYf2w+k/8aTva9J6l7Eer7G5S8HUesSpTQiUvdujpZepgg3Q+/T51pdThy6wjFshRje8/tZHFLWjKdrJ/d33wDgwfr1+m2bZAS5y/evq2fu+PH9bxGW7dCvnzJc6yjR6FGDQgOhj599I9CL3izR5ojOXD9ANsubWPbZZ1Y3g69HXP/2xXfZmKricnSXLtPMnPnzk1YWBj37t2L1/qenp64urpy7dq1xBxOIEmmSD4SZ/shsU5+0ZZo5hyZw5BNQ7hwXycbeTLkYWDtgfSq2It0DvE77yk0KpRjt47F9E4euaWXWyG34lzf2cGZktlKUjp7aUpmLUmYfxhvtniTAp4FnireFxgeyFcbvuKXvb9gURY8nD0Y/upw3qn8Dg4mKyYmFgvMnq0zukuXHt/erJnu3axd22bn6504AW+8oTvcQOe5EydC7txJ3HF0NCxcCCNHPk6wn8UwdDL4RNL43Mvp0z/1fKWp93RgoO6tepR0HjsW+34nJ/3Dw6Oks2rVFDtPMOziObbOHMbtvxdS6VQwxe/EsVLp0rGTyuzZn7m/q0FXqTGlBpeDLlM9b3XW+67HzSnxRRuTNc4WC/j46Ok/8uWDffvgGYW2rOLePXj1VTh4UL/htm59PDluclmxAtq00T/s/PyzHmXwhMDwQHZe2amTykvb2HV1F+HRsecBdnZwpkqeKtTKV4tmRZpRp0DyzJhh90nmo+GxISEhLywMZLFYSP/wl6mwhA73EDEkyRTJReJsPyTWKSfKHMX0g9P5Zss3XAm6AoBXJi8G1RnE6+Vex9Gkq59GW6I5e/dsrETy6K2jnLt7DsXT/6INDAp5ForVO1kmRxm8M3vH7DO+cd53bR/vrHqHvdf2AlA5d2V+a/EblXJXsu6TER4Ov/0GJ0/Cu+9CuXLW3X8iRUfrkbuDB0NkpJ5m76efoFs3K+S+Sune3BUr9LDVuJLHrFlfPMn8C6Tp9/SNG3r+1UdJ58WLse9Pn14nc6++qpPOcuWs1+N9+TJs3kzEhnWErF1F5quxs0plGFjKlMKhfgOdVNaureOVACdun6Dm1JrcC79Hy6ItWdJ5Scx7NKGSPc6BgXqkwZkz+vlesybJr804PXigp0LatUu/BzZv1sWhUsKoUfrHLQcHbi6eyfqCsP3SdrZd3saRm0ee+rzN7JqZWvlrUTNfTWrlr0WlXJVwdnRO9mbafZLp7e3NhQsX+PPPP2nXrt1z1128eDEdOnSgUKFCnD17NlENFVJdViQfibP9kFinvPDocKYcmMLIHSO5GaKrp3pn9qZa7mocu32MEwEniDBHxLltdrfslM5emtLZSlMqW6mYXsoXneeZkDibLWYmHZjEV5u+IigiCJNh4p2K7zC07lA8XDwS96DTmKNH4a23HNi/XycwrVtb8PMzkyOHjRsWD/+N9fHbx5l/fD5/nviT4Ihgmno3pXXR1jQs2NBqQ7aThVJw/jzGxo2YNmzA2LQJIyAg9ipZsqDq1kW9+qquXOvtHf9fA/z9MbZswbR1K8aWLRiPhjQ/ZDbgeJ50RNV6heLt+uBU91X9q0MS7byykyZzmhAeHU7P8j35tdmviZoWMEU+u48d0xVnQ0Iw9+uHZeRI6+4/NBSHVq0wbd2KypxZV5EtW9a6x4iD2WLm6O2j7Li0nfJfjKXO1ovcdYFqveHsE6OYC3sW5pW8r1AzX01q5K1BsSzFMBkpM4z/SS9LddlEJ5n9+/fnhx9+IHPmzCxcuJB69erFud6WLVto164d9+7do1+/fowePTop7bVLMk+mEEKkfRGWCP4K+ItFNxfxwPwg1n3OJmfyu+Qnv0t+CrgUoIBrAQq4FEjRuTfvRd1j2rVpbLm3BQBPR0/ezPMmtTPVtspc2alddLTB4sVFWLCgGNHRJjJkiODtt49Qq9bVVD8Dx63IW2y7t40t97bgH+4f5zouJhcqZqhItUzVqJyxMukdbHvu4wtZLGS8eJFshw+T9fBhsh47hmN47OGLoVmzElC2LLcfLhGP5npUCrcbN8h67BhZjh0j69GjuN2+HWvbaBPszwmbvOBE0WzkrNyBynka4GhYv/duV+AuRl0YhQULnXN0pmuurlY/hrXk3r6dKg+/q+/59FOu1apllf2aoqKoNnw42Q8eJMrNjR3ffMN9b2+r7Pu/IiwRnA45zYmQE5wIOcGpkFOEWvRcvs5RsGk6VL8K57M5MfCzBuTPVpYS6Uvg6ZT0HxVSWpqfJzMu9+/fp3z58ly6dAnDMKhZsyavvvoqefLkwTAMrly5wsaNG9m2bRtKKfLnz8/BgwfJlNR5b+yY9GSK5CJxth8Sa9t7EPGAGYdnEBgRGNNDWcizkFV/MU9KnDdc2MD/1vyPM3d19cwGXg0Y32Q8RbMUtVr7UrPDh6FXL0cOHdKZZdu2Fn76yfy80+9s4nbIbRadXMTco3PZeXVnzO1OJicaF25Ml5JdyOaWjeWnl7P89HKuPLgSa536XvVpU7QNrYq2sn7Rp+QQFYWxZw/Ghg0YGzdi/PtvzDylj6jixVHFi+v1rl6NdZ/F0YGzBT1YkuMuGwvA9vxQpnANPqvxGc28myV7j9XkA5N576/3APBr6kfvir0TtH1KfnabBgzA4YcfUOnTE711qz4XNSmionDo3BnTypUoNzfMq1ejXnnFOo0FbgbfZMeVHTHLgRsHiLZEx1onQ7oMVM9TnVfyvUI95+LU6fQJpqvXsDRujHnp0uQZGpxIdt+TCeDv70/Hjh3Zt2+f3tl/fup7tOuKFSvy559/UjA+kzKLZ5JzMkVykTjbD4m1fUhqnCOiI/h++/cM3zqcCHME6RzS8UXNLxhQe0DqHnJpJVFRMGIEDBumz9vMmlUXpOzQwbbtehDxgKUnlzLn6BzWnVsXMz2NgUHdAnXpVqYb7Uu2J7Nr5ljbKaXYd30fS04sYcnJJZwIOBFzn4FBjXw1aFu8LW2Lt6Vw5sIp+pgSLSREV0Jdv16f17l/f+xqvU5OqKpVuVy+IL+5n2SCaS8hD0+na+bdjAG1BlArf60U7aUfsmkIQzcPxWSYWNRpET7FfeK9bYp+dkdH6/l91q/XQ5L37IHEdhKZzfok5wULdPXa1av1OZ+JbZolmuO3j7Pryi52XNnBtkvbOHv36VPx8mTIQ+0CtWPOpyyTvUzsomb790OtWroq9Mcfw48/JrpN1mb352Q+YrFYWLRoEfPmzWPv3r3cuqWr3mXPnp3KlSvTuXNn2rdvj4Oty2i/BCTJFMlF4mw/JNb2wVpxPnf3HO//9T5/n/0b0Ocs+TX3o4l3E2s1NVU7cAB69IAjR/T1zp11YcoE1n9JkvDocP468xdzj85lxekVsSpeVs5dmc4lO5P5WmZe93k93rE+FXCKJSd1wrn76u5Y95XJXkYnnCXaUi5HuVQ7VNpi0bNgXLumlztn7uK8cxOed85SrldF9pW4z7B9P7Lziu7lNRkmOpXqxBc1v6BcTtsUnlJK0WdlHybtn4SLowv/vP4PNfPXjNe2Kf7ZHRCgpzK5eBFatIDlyxNedMligZ49YcYMXTl46VJo3jzemyuluBh4kd1Xd8cs+67vIzQqNNZ6Bgals5emVv5aMYV68nvkf/Fr988/oVMnfXnKFN3WVECSTJHiJMkUyUXibD8k1vbBmnFWSrHw+EI+WvMR1x7oacg6lerE2CZjyZ0hqfN9pH6RkfDtt/Ddd7pTJnt2PdWJj0/yHdNsMbPRfyNzjsxh8YnFBEYExtxXLEsxupXpRtfSXSmSpUiSY30l6ArLTi5jycklbPLfFNM7Croask8xH9qWaEvNfDWtO73NMyilZ7h4lDw+a7l+XXe4PbEluAWA9xqM2iNR2fT0KOkc0vFm+Tfp/0r/VNFLG22Jpt38dqw4vQJPF0+29dxGyWwlX7idTT679++HmjV1dejBg2HIkPhvqxS8956uKu3goHsyX1Ao9G7Y3VgJ5e6ru2PNTflIhnQZqJKnCtXzVKdW/lrUyFeDTC6ZEvbYHhkyBIYO1Unwhg26d9PGXpYkM/UMQBZCCCFEqmMYBh1LdaSJdxMGbxzMhN0TWHBsAX+d+Ytv639L36p9Ez0tQ1qQLp1OMtu00b2ax49D27bw2mswYQJkzvzifcSHUopdV3cx98hc5h+bH1OJGCBvxrx0Ld2VrqW7Uj5neav2LubNmJe+VfvSt2pf7obdZeXplSw5uYQ1Z9fgf9+fcbvGMW7XOLK5ZaN1sda0Ld6WBoUaJGrY9IMHL04er13TOc3TFLjdgUz+esnnD54XcM7uj+HpT1R6f8wOoY/WhIgMZDn/HhPf/JD2TXIl+vmxNkeTI/M6zKPhzIbsvLKTpn80ZUevHeTNmNfWTXtaxYo6SXzjDZ2IVaoErVq9eDul4JNP9LaGATNnPpVghkWFcfDGQZ1MXtMJZVzDXp1MTpTLWY6quatSNY9eimW1YtXXQYP0fK0LF+o27t4NXl7W2bedS/R/BZPJRK5cubj6nxOrn6VgwYJcvnyZ6Ng/OwkhhBAiDcjonJGxTcfiW86Xd1e9y66ru/hozUfMODSDX1v8SrW81WzdxGRVubLu2BkyBL7/HmbP1qesTZoELVsmfr/Hbh1jzpE5zDs2j/P3zsfcnsU1Cx1LdqRbmW7UzF8zRaZSyOyaGd9yvviW8yU0KpQ1Z9ew9NRSVpxawe3Q20w5MIUpB6bgns6d5kWa07Z4W5oXaU5G54xERYG/v55m8exZuHLl6eTxwYPnHV2B6z3w9IdM/rjl9sc11wVMmf2Jcvcn1MmfSCP4qa2enPzHwMArkxcV6c2m0e9y52omOszXPwiMGQM5U0l9IzcnN1Z0XUHNqTU5decUzWY3Y+ubWxPfG5ecevTQ52T6+UH37rB3LxQp8vxtBg2CsWP15cmTMXfpzMlbxx73UF7bzeGbh58qzgNQJHMRquWtFpNUlstZLnnPAzeZYPp0OHdOj49v3Rp27AB392duopQV5tG1A0n66TGhI21lZK4QQgiRtlXIVYEdvXYwad8kvlj/BQduHKDGlBr0qdSHEQ1G4Oma9qYBiC9nZz1s1sdHd+6cPKk7dnr0gHHj4l8bxf++P/OOzmPOkTkcuXUk5vb0TulpW6ItXUt3pVGhRjg52G5Iu5uTG21L6HMzo8xRbLm4hcUnlrD4+FJuhF5lwbEFLDi2AJMlHS7XGxB+sC2W460h5DmTi7rcJ30efzJ56STSlOUCZnd/QtP5cw9/wixBMauGPlz+K5d7LrwyeVHQsyBeHl54ZXq85PfIj7Ojru5zzxcGDtSdabNnw4oVukf6vfdSRyHRLG5ZWNN9DTWm1ODoraO0mdeGNd3XpM7CWj/+CAcPwvbt+sW/a9czkzA1fDjGsGEALO3bkPEOs9g76kOCI5/+gSB7+uxUy1Mtpoeycu7KTxWtShHp08OyZVClij4Bu3t3WLw4znNQjx7V7/2pU1Nkis80LcXeZpGRkZgSesKwEEIIIVIdk2GiT+U+tC3Rlv7r+jPz0Ex+2/cbi08u5ofGP/BamddSbcEYa6hWTfdqDhoEP/yg65qsWweTJ0OzZnFvcyvkFn8e+5M5R+ew4/KOmNudTE40L9KcbmW60bJoS9ycbDsPtlL6fMfTp3WvpF6cOH26AefONSAicgLk3gvFl0CJJViyniI0z1+Q5y9o3ge3O69QKKoNWTKlw5LBnzBnf+4b/tyK8Cco6j4hQMh/D2p5fDFH+hw6gczkFSuJLOhZkPwe+eOdhHl6wi+/6Fou772nO+M+/BCmTdO316hhrWcs8QpkKsDf3f+m9rTabLm4hdeXvM689vNS5NzXBEmXThfJqVRJjxfv2RPmzwfD4H74ffZc3cPuq7vJMXkub83S58L2bwRjsv0D/noX6Z3SUzl35ZiEsmqequTLmC/1fE7ky6cLE9WrpxPOQYN0eemHlNI/WPTrp4dzf/yxHskgni1Fksz79+9z69YtmSPTSqKiooj6z9xQyXmsJ/+Kl5PE2X5IrO1DSsXZM50nk1tM5vXSr/P+3+9z6s4pXl/yOlP2T2FCkwkUz1o8WY9vS46OMHy4onHzCPq8H8WFSxE0fy2Mth1D6ftRKI7OYYRHh3M56DJ/nviT9RfWx5pypF6BenQp1QWfYj6xen8TGrPExFopXTz07FnjYRJpPLxscO4chIQ8+4u/k5NBIfcqFHGtTBGnYbh7nuBKhqXsDVnKkTv7CM26naNs1ytHP1yekN0tOwUyFaCAh14eJZIFPAqQ3yP/85NslfDnp1w52LIFpk418dVXJg4eNHjlFXjjDQsjRphTtFJwXEpkLsHC9gtpOb8lC48v5APXDxjbeOxTyZfNP7uzZsWYNw+Hhg0x/vyT84Wz8k6Js6y7sA6At/fCwJV61aH1DNa1K8tbuaroHspclSmRtcRTyXOqO4WuUiWMX3/FsWdPGD6c6KJFUV27cvcu9OnjwLJlurOsaVMLkyebSa5QJCTWqfl/ebyryx4+fJiDBw/GXH/jjTfw8PBg/Pjxz9xGKcX9+/dZuHAhO3bsoGHDhqxZsybJjbY3fn5++Pn5YTabOX36NHPmzMHNzba/dAohhBBPirJEsez2MhbcWECkisTRcMQnuw8dc3TE2eScom1RShFuCScoOohgczDB5mDCzGFEqSgiLZFEqkiiLFFEqAiiLLFvi1SRMdcjLZGPt4ljnSiVsC94RdyKUDtTbWp51iKzU/IPCwwOduT6dXeuXUvPtWvuXL+enuvX3bl61Z3Q0GcPxTWZLGTPHkru3CHkzh1Mrlz6b+7cIWTNGsqzZqW7HXmb3YG7OfDgAOmMdGRPl53sztnJni47OdLlIJtTNlwcbDccNDAwHTNnlmT9+gIAuLtH8vrrx2nU6GKCZ+ewtm33tvHDxR9QKF7P9Trtc7S3bYOeIf2yGTSctgSzAU26w/rC8P7RjIxfFIRJwb8t63DpzfdwtmGck6rkjBkUWbIEs5MTM3v9xGcLXycgwA1HRwu+vsdo2fK8zV8vj4SGhtKtW7dUWV023knm0KFD+eabb2KuK6Xi3cX9aN3Vq1fTpIl9zK2VHB6VKQ4ICEjRKUzWrVtHo0aNZLqDl5jE2X5IrO2DLeN84f4FPl77MavPrgbAy8OLcU3G0dw7/vPjPSksKow7YXe4G36Xu6F39d+wx8uz7ouypOwv/CbDRDrDlchQVywRLhDtQuaMrhTJn4FmRRrTqWQnvDN7x6yvlJ4eJSQEQkMf/w0LM2LdFhamexafvK4v69uCgxXXrt0nXTpPwsL0bY/WjYh4/ve0/PkV3t56KVKEmMsFC+oRki+rnTsN3n/fgSNH9PNTpYqFn34yU7Gibdv1856f6beuHwCTW07Gt6xvzH22/uw+cOMAQzZ9w1/nVjF1Gbx5EALSOTPS+VO+D/4Ok7Jgfu89LGPHpv2qOGYzpvbtcVi9mmvkogp7cPPOzR9/RKfIayQhsQ4KCiJr1qypMsmM93DZTJkykT9//pjrFy9exGQykTfvs0sum0wmMmbMSOnSpXn77bepXbt20lorAHByckrxDxhbHFOkPImz/ZBY2wdbxLlotqKs7LaSpSeX8sHfH+Af6I/PAh/alWjHt/W/BeBO6J3HCWLYXe6E3nl8+Ynb7obdJSw6LNFtcXZwJotbFjxdPMngnAFXR1dcHF1wdXr49+H1Jy/Hed9/bnt0/cnbHhXpCQmBAQPgp5/gLnA5N/yVDxb+J5kMCdFz1VtHlmfekzMnFC2qC4IWKfL4cuHC4OpqAGk8IUiEOnX0ObV+fvD117Bnj4kaNUy8+64+Dc/TRrWrPn7lY26E3OD7Hd/TZ1UfcmfMTbMisU/yTcn39O3bMPufw/gdG8JZpyX6RmXivXxdKHvkEJUijzEmcjgA8zP0wqPFTzRNl0q6+JLg8g0n3r4/l9G8QmmOsTWLD9m2byFDdtcUbUd8Yp2a/4/HO8n88MMP+fDDD2Oum0wmsmXLxoULF5KlYUIIIYRImwzDoG2JtjQq3Ighm4Yw7t9xLD6xmMUnFidqf44mRzK7Ziaza2ayuGYhi1uWmMux/v7ndjcntxQvLJI+vZ4/s107ePNNPa3HtWvP38bJSW/n5vb037hue/JvunTRnDy5n9q1K5Ixo2Os+zw9IUOGFHnYaY6joy4E1KkTfPopzJmjCwL9+SeMHg2+vrbpkPuu4XdcD77OrMOz6PBnBzb22EjVPFWT/bhK6WJP27fDtm2w4egxLnoNhVJ/ghOgDDjSlWzHB1GvTDEOf3WRsuMr43Q/gCWu3ej2YCKWFiY6dNCVlvPkSfYmJ4ulS3Vdo3v3MnLFbTl7TFUpdGcvfNhTv0jSei9tCkp04Z/Bgwfj/pw5ZIQQQghh39zTuTOm8Rh8y/nyv7/+x7ZL28jkkumZSWGcCaRbFjKky5B6qlDGU716ejaEDRv099JnJY5ubjrJTKyoKMXq1ddp0kQlaT/2KlcuPcXJW29B375w4oSeomLyZJ10limTsu0xGSamtJ7CzZCbrD23lhZzWrCj5w68MnpZ9TiRkbBv3+Okcvt2XQyKrCeh7jfQfB4Y+oy6wmGdeavIIDr3KImX16M8qwB03wm7dtGweWc+GubA+PGwcCH8/TcMHQoffJA6pouJj7Aw/WPDL7/o65Urw7x5hXC5sggaNoR586B0RoHsDAAAMJNJREFUaT0vjoiXJCWZQgghhBAvUjZHWTa/sTlB9RxeBu7uem53kfrVr6+nghw3TidI27ZBhQo6URoyBFLydDcnBycWdlxI/Rn12Xd9H03+aMJm381J2ue9e7Bjx+Okcs8ePRVHjMxnMHX4BkupOWDocdytCrdneKPBlMnxjEzb2xu8vcmAnsrH1xfefRd27oRPPtFT+/z6K7zySpKanuyOHYMuXfQcmAD9++th0+nSAYXr6nHVffrAV19ByZLQtq1N25tWWH3gdGRkJMuXL2f06NFMmDCBbdu2WfsQQgghhEiD7CnBFGlPunTw2Wdw8iS0bw9mM4wdC8WL646s+JXKtI4MzhlY1W0VhT0Lc+H+BdosaEOYOX7nJysFFy7ArFnwzju6Ay5zZmjZEr77DrZu1Qlm1qzQsON5qgzricOHJbCU/gMMC22KteFAnwMs777w2QlmHMqV0wnspEn6eIcPQ82a0Ls33LmT2Gci+SgFv/8OVaroBDN7dlizBr7//j+Fr95+G/73P325e3c4dMgm7U1r4t2T+eDBA5Ys0Sf9du7cGWfnp8uR7927l/bt23PlypVYt1erVo3FixeTM2fOJDZXCCGEEEKI5JMv3+Nhn//7H5w9C1276iG0P/+sk86UkMM9B2u6r6HGlBocuHGAkSEjaWVu9VSxl+honfc8Gva6bRtcv/70/ooUgVq1dOJXsMJF5lwZxoxD02Pmq2xRpAVD6w2lUu5KiW6zyaSHHrdpA59/DtOm6edtyRKdvL3xBqli+o9793TuuHChvt6kie55zZHjGRv8+KMeS/3PP3p4wp49OisVzxTvMK9fv5433niDcePGxZlg3rp1i+bNm3PlyhWUUrGWXbt20VrGiwghhBBCiDSiaVN9Xu0334CLC6xfD2XLwpdf6urAKaFw5sKsfm01bo7pOfTgEE1/682YHyz873+6Z7JUKT2Ut3Jl+OgjXbjo+nV9LmS1anrY6uLFcPOmLuwzdOxl9uZ4l6arijDlwGSiLdE0KdyEf3v9y8puK5OUYD4pWzaYOlX3mpYurXsye/XSlX2PHLHKIRJt+3YoX14nmI6OutDT6tXPSTBBr7hggc7UL12C119PqeamWfHuydy6dSsA3bp1i/P+UaNGERAQgGEY9OjRg7fffht3d3emT5/O2LFj2bdvHwsXLqRDhw7WabkQQgghhBDJyMVFT3Py2mv6/MxVq/SQ09mzYfx43WNnjVHgYWG6EvGFC7EXfVtlQjMvgm4t2RY4l23b88K672Nt7+Ghz3181FNZpYouKvXItQfX+N/q7/h9/+9EmiMBaFCwAUPrDaVm/ppJfwDPUKuWni5m/Hh9buv27fpc148/hsGD9XnLKcVs1rEbMkRfLlwY5s7Vz1W8eHrCihW6JPGoUcnZ1JdCvJPM3bt3YxgGTZs2jfP+2bNnYxgGrVq1Ytq0aTG3//DDD9y9e5cZM2awaNEiSTKFEEIIIUSaUqiQzi+WL9dTn1y8qOu/NG+up6wpXPj520dHw+XLTyeRj5YbN17QgHtNcFk7kfBmvaDmaF6tkptO+T+iYEEoWFAfP65hqDeCbzBq2yh+2/cb4dG60k/dAnX5pv431ClQJ3FPRgI5OenKrZ076+duyRIYMwbmz9fJp49P8s8McvWqPp1y0yZ9/bXXdCXZBBd0KlYMDhxIHWN+U7l4J5nXr1/H0dGRkiVLPnXfsWPHuHXrFoZh8MEHHzx1/4cffsiMGTM4cOBA0lorhBBCCCGEDRiG7rls1AiGD388zHL9ehgwQM+v+KxE8vJl3Xv2PO7uxCSN/13y5Ili69YsHPMczsCNA9mQ7mN618xJ49Jd4tzX7ZDbfL/9e/z2+BEWrQsG1cxXk2/qf0N9r/o2KcKVL58eurtqFbz/vu6lbdcOWrSAn37SjzM5LF+u56y9e1dPHfTrr0kc7SoJZrzEO8m8efMmGTNmxBTHE7t7924A0qVLR61atZ66v3Tp0hiGwbUXzUYs4iUqKoqoqKgUO9aTf8XLSeJsPyTW9kHibD8k1inPyUkPuezaFT76yIH1600MGaJve5506RQFCkDBggovL4WXF3h5KQoW1H8zZ352j96j+H5Y6UOuP7jOz3t/xneJL5mdM1Pfq37MendC7/Djrh/5Ze8vhETpE0er5q7KkLpDaODVAMMwYgr92Erjxnq6mJEjTfzwg4lVqwzWr1cMGGChXz8LcZR+SZTwcPjiCxO//OIAQIUKij/+iKZIEUjNb5eEvKdT8/veUCp+BZnd3Nwwm81EREQ8dd/777/PL7/8Qvny5dm/f3+c22fNmpXAwMBU/WSkVn5+fvj5+WE2mzl9+jRz5szB7cmB9kIIIYQQIsUpBdu352b69FLcvetKlixhZM8eSo4coeTIEfLE5VA8PcOt0glmURbGXBzDjvs7cDW5Mtx7ONnSZWP57eWsuL2CcIseFuvt6k3XXF2pmKFiqp0+6MoVdyZOLMuRI9kAyJPnAX36HKZs2YAk7ffyZXd++KEy/v4eALRufZbXXz+Bk5MlyW1OTUJDQ+nWrRuBgYFkTMnJXOMh3kmml5cXly9f5vTp0xT+z8DzSpUqcfDgQd566y0mTpwY5/YuLi64uLhw//79JDfaXgUFBeHh4UFAQECKvZCioqJYt24djRo1eqpktnh5SJzth8TaPkic7YfEOnVQSp93mVwh+G+cw6PDaTWvFZsvbSara1YiLZEERQQBUC5HOQbXGUwL7xapNrl8klIwd67BZ585cOuWbm/Xrha+/978/Iqvz9jX9OkGH3/sQGioQbZsiilTzDRtmoKTnCZRQt7TQUFBMR15qS3JjPdw2YoVK3L58mV+//13Rj1RUenMmTMcPHgQgLp168a57cWLF4mMjMTb2ztprRUAODk5pfg/ElscU6Q8ibP9kFjbB4mz/ZBY2166dMl/jEdxdnJyYlnXZdSZXofDNw8DUDZHWYbUHYJPcZ80kVw+qUcPfb7rwIH6nMm5c02sXm1ixAjo0wccHF68j/v39boLFujrDRvCrFkGOXPGO91JVeLznk7N7/l4d9p37doVpRRjx45l9OjRnDp1ivXr19OxY0eUUqRPn55WrVrFue2WLVsAfW6mEEIIIYQQImk8XDz4+7W/+ajaRyzosIADfQ7QtkTbNJdgPpIpE/j5wa5dUKkSBAZC375QvTrs3fv8bXfu1FOjLFigp7QcNQrWrIGcOVOk6SIO8U4yO3bsSJ06dYiOjuaLL76gZMmSNG7cmCNHjmAYBv369SNDhgxxbjt//nwMw4izKJAQQgghhBAi4XJlyMXYpmPpWKojJuPlqHpapYpONH/+WU8xsncvVK2qK9L+96w7sxlGjIDatXW12oIFYds2+OwzKQJrawl6+pctW0bLli1RSsUsAG+99RaDBg2Kc5szZ87w999/A9C8efMkNlcIIYQQQgjxMnNw0L2Yp05Bt276XEs/PyheHObM0devXdOVagcO1Mlm1656Cstq1WzdegEJOCcTwMPDg+XLl3P27NmY8zCrVKlCgQIFnrmNk5MTy5Ytw8nJiUKFCiWpsUIIIYQQQgj7kDMnzJ4NvXrBe+/ppPO112DiRDh+HAICwM1NJ6A9ejx7ChiR8hJ1Jqy3t3e8i/h4eXnh5eWVmMMIIYQQQggh7Nyrr8KhQzBmDAwbBg/LvVC+PMybB8WK2bR5Ig4yWlkIIYQQQgiRqjk766Gxx46Br6++/O+/kmCmVmmzpq8QQgghhBDC7hQqBDNm2LoV4kWkJ1MIIYQQQgghhNVIkimEEEIIIYQQwmokyRRCCCGEEEIIYTWSZAohhBBCCCGEsBop/JMGRUVFERUVlWLHevKveDlJnO2HxNo+SJzth8TaPkic7UdCYp2aXw+GUkrZuhHi+fz8/PDz88NsNnP69GnmzJmDm5ubrZslhBBCCCGEsJHQ0FC6detGYGAgGTNmtHVzYpEkMw0JCgrCw8ODgICAFHshRUVFsW7dOho1aoSTk1OKHFOkPImz/ZBY2weJs/2QWNsHibP9SEisg4KCyJo1a6pMMmW4bBrk5OSU4h8wtjimSHkSZ/shsbYPEmf7IbG2DxJn+xGfWKfm14IU/hFCCCGEEEIIYTWSZAohhBBCCCGEsBpJMoUQQgghhBBCWI0kmUIIIYQQQgghrEaSTCGEEEIIIYQQViNJphBCCCGEEEIIq5EkUwghhBBCCCGE1UiSKYQQQgghhBDCaiTJFEIIIYQQQghhNZJkCiGEEEIIIYSwGkdbN0DEn1IKgKCgoBQ7ZlRUFKGhoQQFBeHk5JRixxUpS+JsPyTW9kHibD8k1vZB4mw/EhLrRznBoxwhNZEkMw158OABAPny5bNxS4QQQgghhBCpwYMHD/Dw8LB1M2IxVGpMfUWcLBYL165dI0OGDBiGkSLHDAoKIl++fFy+fJmMGTOmyDFFypM42w+JtX2QONsPibV9kDjbj4TEWinFgwcPyJ07NyZT6joLUnoy0xCTyUTevHltcuyMGTPKh5odkDjbD4m1fZA42w+JtX2QONuP+MY6tfVgPpK6Ul4hhBBCCCGEEGmaJJlCCCGEEEIIIaxGkkzxXM7OzgwePBhnZ2dbN0UkI4mz/ZBY2weJs/2QWNsHibP9eFliLYV/hBBCCCGEEEJYjfRkCiGEEEIIIYSwGkkyhRBCCCGEEEJYjSSZQgghhBBCCCGsRpJMIYQQQgghhBBWI0mmiNODBw8YMmQIZcqUwd3dHQ8PD6pUqcIPP/xAZGSkrZtnF+7cucO0adPo3r07JUuWJH369Dg7O5M3b158fHxYsmTJC/dx8+ZNPvnkE4oVK4arqyuZM2emdu3aTJ48mfjU/Dp37hx9+vShYMGCuLi4kD17dpo0acKiRYvi9Rj2799P9+7dyZs3L87OzuTKlYu2bduyYcOGeG1vr0aOHIlhGDHL80iM056goCBGjRrFK6+8QrZs2WLe1/Xr12fIkCHcv38/zu0k1mnLunXr6NSpEwUKFMDFxQVXV1cKFSrEa6+9xubNm5+7rcQ6dQgNDeWvv/5i2LBhtGvXjgIFCsR8Lg8ZMiRe+0jrsdy4cSNt27YlV65cMZ9V3bt3Z//+/fHaPi1ISpyvXr3KL7/8QseOHfH29sbV1RVXV1cKFixI165d4/08v5RxVkL8h7+/v/Ly8lKAApSbm5tydnaOuV6hQgV19+5dWzfzpefo6BjznAPKxcVFpU+fPtZtzZo1UyEhIXFuv3fvXpUlS5aYdd3d3WPts3Hjxio8PPyZx1+1apVyc3OLWT9jxozKZDLFXH/zzTeVxWJ55vaTJk2KdTwPDw9lGEbM9cGDByf1KXopnTx5Urm4uMSK87NIjNOeDRs2qBw5csQ8R46OjipTpkyx4n3gwIGntpNYpx0Wi0X16dPnqc9vV1fXWLd9/PHHcW4vsU49Nm7cGCtmTy7xeR7SeiwHDx4cs65hGMrDwyPWZ9ekSZNe+BykBYmN86VLl2I9n4++M//3vd6zZ08VHR39zP28rHGWJFPEEh0drcqUKaMAlStXLrVu3TqllFJms1nNmzdPZciQISa5EckLUFWrVlW//PKLOnfuXMztFy5cUL169Yr5AOjevftT296/f1/lzJlTAap48eJqz549SimlIiIi1M8//6ycnJwUoN599904j33+/PmYhLZmzZrq1KlTSimlHjx4oAYNGhRz7FGjRsW5/Y4dO5SDg4MClI+Pj7p8+bJSSqmAgIBYX77mz5+fpOfoZWM2m1XNmjUVoGrUqPHcJFNinPZs27Yt5stHw4YN1bZt25TZbFZKKRUaGqr27t2rBg4cqM6fPx9rO4l12jJ16tSY56RDhw7q9OnTMfedPHlStWnTJub+xYsXx9pWYp26bNy4UXl6eqoGDRqo/v37q7lz58bE50Vf3NN6LOfPnx+zTp8+fVRAQIBSSqnLly8rHx8fBSgHBwe1Y8eOFz6PqV1i43zhwgUFqAYNGqgZM2aoq1evKqX0//Jjx47Feq9/9dVXce7jZY6zJJkilsmTJ8e82OJ6Qc2ZMyfm/n/++ccGLbQfGzZseO79T354XLp0KdZ9X331lQKUq6vrU19YlVJqxIgRMR8cjz7QntS9e3cFqJw5c6p79+49df/bb78d82tbXL3atWrVUoAqU6aMioyMfOr+Jk2aKEAVKFDgub/u2Ztx48YpQL322muxflmMi8Q4bQkJCVGFChVSgGrfvn1MchkfEuu0pV69egpQ3t7eKioq6qn7IyMjY14LXbp0iXWfxDp1iesxFihQIF5JZlqOZXR0dMzjbNKkyVPbRkRExHRI1KpV63lPQ5qQ2Djfv39f7du375n3WywW1bRpUwW6FzssLOypdV7mOEuSKWKpXbu2AlT9+vXjvN9isaiCBQsqQPn6+qZw68STdu/e/cxfw/Pnz69AD7GIy4MHD5S7u7sC1KBBg2LdFxwcHNPbMnTo0Di3f/TrHaCmTp0a675z587F3Ddjxow4t9+0aVPMOi9Kpu3Fo18zs2TJom7duvXCJFNinLb89ttvMV84b9++naBtJdZpS7FixWJ+THiWdu3aKUC1bNky1u0S69QvvklmWo7l+vXrY+7bvHlznNtPnz49Zp0nR1u9LOIb5xdZsGBBzPO0f//+WPe97HGWwj8iRmhoKNu3bwegWbNmca5jGAZNmzYFYO3atSnWNvE0FxeXmMtmsznm8qlTp7h06RLw7Di6u7tTu3Zt4Ok4btu2jbCwsOdu7+XlRYkSJeLcft26dTGXH71W/qtWrVpkyJAhzu3tVe/evQkJCeHHH38kW7Zsz11XYpz2zJw5E4A2bdqQNWvWeG8nsU57ChUqBMChQ4eIjo5+6v6oqCgOHjwIQOXKlWNul1i/PNJ6LB9tnyFDBmrWrBnn9k+268njidie9V2N/7d371FRlesfwL/DwAwMclcx+SleCsVLXtOjWWZHrNREiQSveE6aSXbSFLOVldZZy2N6qnM0D0bHW5aIlpWaZhpo5kmj1FJRMxGFRPHCZbgzPL8/WLObcWZgBkdp4PtZa9bazPs+7373fkbknXfvd6Px55mDTFJkZGSguroaANCtWzeb9Yxlubm5uH79+h3pG1lKS0tTtrt3765sHz9+XNm2J48nT540e980vmvXrnXGnzhxwmp8y5Yt0bJlS6uxarUanTt3thrfFCUlJWHv3r0YOnQoJk+eXGd95ti1lJeXIz09HQAwePBgnDt3Dk899ZSyCmCrVq0QGRmJnTt3WsQy165nxowZAICzZ89i3LhxOHv2rFJ2+vRpjB07FufOnUPHjh0xe/ZspYy5bjxcPZfG+PDwcKjVaqvxLVu2VL4Q5WfBNuPfahqNBmFhYWZljT3PHGSS4rffflO2Q0JCbNYzLTONoTsnPz8fixcvBgA88MAD6NSpk1LmaB4LCwuh1+st4gMCAqDT6eqMv/kzYPy5tn3XFt/U5OTkICEhAV5eXli1apVdMcyxazl//rzy6Kfs7Gzce++9WL16NfLy8qDT6XD58mV8/vnnGD58uDJAMWKuXc/jjz+Ot99+GxqNBlu2bME999wDnU4HnU6Hzp07Iy0tDTNmzMDhw4fh6+urxDHXjYer55KfBefIzMxEYmIiACAmJsbs3zvQ+PPMQSYpioqKlO3aPuymZaYxdGdUV1dj0qRJuHTpErRaLZYvX25Wfqt5NG7XFmtafvNn4Fbjm5rp06ejoKAACxcuVC6zqwtz7Fpu3LihbC9evBgeHh7YuHEj9Ho9bty4gQsXLiA2NhYAkJiYiH/9619KfebaNc2aNQuffPKJMrtQWlqqXBZXXl6OoqIiFBQUmMUw142Hq+eSn4VbV1paiieffBIlJSUICgpSJgZMNXSebneeOcgkcjHPP/88tm/fDgBYuXIlevTo0cA9ovrasGEDduzYgZ49e+KFF15o6O7QbWK8DcG4nZiYiNjYWHh4eAAA2rRpgw8//BC9evUCAPz973+3ei8fuYaSkhLExMRg5MiRaNu2LXbv3o2rV68iLy8Pu3fvRteuXbFhwwb069cPP/30U0N3l4icrKqqCuPHj8cPP/wADw8PfPTRR3XOFjZGHGSSwnhjMFDzn6QtpmWmMXT7zZ07FytWrAAAvP322/jrX/9qUedW82jcri3WtPzmz8CtxjcVV65cwaxZs6BWq5GUlAR3d3e7Y5lj12J6/G3atEFMTIxFHTc3N8yZMwcAcPXqVfzwww8Wscy1a0hISEBKSgrCwsKwf/9+REREICgoCM2bN0dERAT279+PsLAwXL16Fc8++6wSx1w3Hq6eS34W6s9gMGDixIn49NNP4e7ujo8++gjDhg2zWreh83S788xBJilat26tbOfk5NisZ1pmGkO317x58/DPf/4TALB06VLMmjXLaj1H8+jr64tmzZpZxN+4caPWXzzG+Js/A8afa9t3bfFNxYsvvohr167h6aefRufOnaHX681exnv4AFi8xxy7FtNvsI0LMFhjXEEQALKysgAw166mqKgI7733HgBg5syZ8PLysqjj5eWFmTNnAqhZXfLKlSsAmOvGxNVzyc9C/RgHmJs2bYJarcaGDRsQHR1ts35jzzMHmaQIDw+Hm1vNR8J0xaubGctatWqFwMDAO9K3pi4hIQFLly4FALz55puYO3euzbqmK9nZk8cuXbrYjK9tJTFj/M0rohnjr1y5gry8PKuxBoMBp06dshrfVGRmZgIA/vOf/8DHx8fiZXr/hvG9efPmAWCOXU1gYKAy0FSpVDbriYiybazHXLuWM2fOKJc6d+zY0Wa9e+65R9k2/i5grhsPV8+lMT4jI8PisRtGpm3zs1BzPidMmIDk5GRlgGntqhVTjT3PHGSSQqfTKc/J2bVrl9U6IoIvv/wSAGxO/5NzzZ07F8uWLQNQM8BMSEiotX6nTp3Qtm1bALbzWFxcjG+++QaAZR4HDRqkfPtuKz4rKwsZGRlW4yMiIpRtW/HffvutcgM5P0eOY45dj/EcZGRkmA0mTRnPNwC0b98eAHPtaoxf1AK/z0Zbc/nyZWXbeAkac914uHoujfFFRUU4ePCg1XjTdk331xQZB5imM5jGxdxq0+jzLEQm3n//fQEgKpVKvvvuO4vyTZs2CQABIHv27GmAHjYtc+bMUc73smXL7I5bsGCBABCdTieZmZkW5UuWLBEAolar5fTp0xblEydOFABy1113SX5+vkX5jBkzBID4+PjI9evXLcoHDRokAKRHjx5SUVFhUf7YY48JAAkNDZWqqiq7j6spee2115TcW8Mcu5b9+/cr+dy4caNFucFgkF69egkACQkJEYPBoJQx166jpKREvLy8BID07t1bKisrLepUVVXJwIEDBYAEBASYnTPm+o8vNDRUAMhrr71Waz1XzmVVVZVynMOHD7eIraiokHvvvVcAyKBBg2o7DS7L3jxXVVXJ2LFjBYC4u7tLcnKyQ/tpzHnmIJPMVFZWSvfu3ZU/dIwDSYPBICkpKeLr6ysA5LHHHmvgnjZ+8+bNU/4ofeuttxyKzc/Pl1atWgkA6dKli6Snp4uISHl5uaxcuVI0Go0AkBkzZliNP3funHh7ewsAeeCBB+TMmTMiIqLX62XRokWiUqkEgCxZssRq/MGDB0WtVgsAiYqKkuzsbBERuXbtmvILE4Bs2rTJoeNqSuoaZDLHric6OloAiL+/vyQnJyt/EFy4cEFiY2OVc7Z27VqzOObatTz33HPKOXn00Uflp59+EoPBIAaDQY4dOybDhg1TyhctWmQWy1z/8Vy/fl3y8vKUV5s2bQSAJCQkmL1fVFRkFufquTSdVJgxY4Zcu3ZNRESys7MlKipKGSAfPHjQ8ZP6B1SfPFdVVcm4ceOUAWZKSorD+23MeeYgkyxkZmZKu3btlA+dTqcTT09P5edevXpZ/TaFnCcrK0s5325ubhIcHFzra+nSpRZtpKenS1BQkNKOj4+PeHh4KD8PGzZMysrKbPZhx44dotPplPp+fn7KLzIAMmXKFKmurrYZn5SUJO7u7kp9f39/5ZelPd8ONnV1DTJFmGNXo9fr5cEHH1TOj1arlYCAAOVnAPLqq69ajWWuXUdJSYk8+uijZnnVarWi1WrN3hs3bpzV2UDm+o/FONNT1ysuLs4i1tVzafr/kEqlEn9/f+Vnd3d3SUpKsvc0/uHVJ8/79u1T3vfw8KjzbzVbs5yNNc8cZJJVhYWF8uqrr0q3bt3E29tbfHx8pE+fPrJs2TIpLy9v6O41epmZmXb9sqvrF0hubq7Mnj1b7rnnHvH09BR/f38ZNGiQJCUlmV2OZ8vZs2dl2rRp0q5dO9FoNBIUFCQRERGyZcsWu47jhx9+kPHjx0tISIhoNBoJDg6W0aNHy969ex05HU2SPYNMEebY1RgMBklKSpIHH3xQAgMDxcPDQ0JCQiQ2Nla+/fbbWmOZa9dRXV0tmzdvlsjISPm///s/0Wg0otVqpU2bNvLEE0/I9u3ba41nrv84bmWQKeL6udy7d6+MHj1agoODRaPRSEhIiIwfP16ZmW0s6pPn1NRUh/5WW7Nmjc39N8Y8q0RsrEBARERERERE5CCuLktEREREREROw0EmEREREREROQ0HmUREREREROQ0HGQSERERERGR03CQSURERERERE7DQSYRERERERE5DQeZRERERERE5DQcZBIREREREZHTcJBJRERERERETsNBJhERERERETkNB5lEREROlpaWBpVKBZVK1dBdcVi7du2gUqmwdu3ahu6KQ65duwZ/f3+0aNECxcXFt9xecnIyVCoVJk+e7ITeERE1LRxkEhFRvYkINm/ejDFjxiA0NBReXl5o1qwZOnbsiEGDBuGFF17A1q1bUVhY2NBdbVIqKyuxevVqDB8+HCEhIdBqtfDz80NYWBiGDBmCl156CTt37kRZWVlDd9VpFi5ciIKCAsybNw/e3t633N7YsWPRpUsXbNiwAT/++KMTekhE1HSoREQauhNEROR68vPzMXr0aOzbt095z93dHb6+vigsLERVVZXy/po1azBlypQG6GXDSEtLw5AhQwDUDMTvpIsXL2L48OE4fvy48p5Go4G3tzcKCgpQXV2tvJ+amoqHHnrILP7Pf/4zcnJysHjxYowZM+ZOdfuWnDlzBl27dkVAQADOnz8PnU7nlHaTk5Mxbtw4DBkyBF9//bVT2iQiago4k0lERPUyefJk7Nu3D2q1GnPmzMGZM2dQXl6Oa9euobS0FMeOHcOSJUvQo0ePhu5qk2EwGBAZGYnjx49Dp9PhjTfewIULF1BWVobr16+jpKQEhw8fxsKFC9GxY0erbezduxenTp1ymQEmALz11luoqqpCXFyc0waYABAdHY0WLVogNTUV6enpTmuXiKix40wmERE57JdffkFYWBgAYPHixZg/f36t9UtLS+Hl5XUnuvaH0FAzmV999RWGDRsGANi4cSNiY2Nt1hURVFRUQKvV3qnu3RZ6vR6tW7dGUVERjh496vQvNWbOnIl3330XU6dORVJSklPbJiJqrDiTSUREDjt69KiyHRkZWWd9awPMK1euYPXq1YiKikJ4eDj8/Pzg5eWFu+++G1OnTsWJEydstjdlyhSoVCrlEty1a9diwIAB8PPzQ2BgIIYOHYr9+/cr9auqqrB8+XL06dMHvr6+8PPzw/Dhw23ea3fzwj3p6emIjo7GXXfdBU9PT9x9991ISEhAfn5+ncdui8FgwNq1a/HII48gODgYGo0GLVq0wCOPPILk5OR6DU4dyYtKpbI6wLS18M9DDz2knJPaXu3atbO6v9zcXMyfPx89evSAn58fPD090aFDB0ydOhUnT5509FAVGzduRFFREcLDw2sdYB46dAgTJkxA+/bt4enpCW9vb4SGhmLw4MF44403kJ2dbTVu/Pjxyn70en29+0lE1KQIERGRg1JSUgSAAJDdu3fXq424uDilDQDi6+sr7u7uys9arVa2bNlSa2xcXJyy7e7uLj4+Pkq8u7u7bNu2TcrKymTYsGECQDQajXh7eyt1dDqdpKenW7Sfmpqq1Pn0009Fo9EofTRuA5DQ0FDJzMysNd6a3Nxc6d+/v9nx+/n5mf08atQoKS8vd+icvvnmm0r8mTNnHIo1Cg0NFQCyZs0as/fHjBkjwcHBNl9arVY5Jzfbtm2bNGvWTOmbh4eHWR40Go2sW7euXv2NiooSADJ9+nSbddauXSsqlcrss+Xr62t2vm8+XqOKigrx9PQUAPLFF1/Uq49ERE0NZzKJiMhh9913nzLLZ7wf01Ht27fHggULcOTIEej1ehQUFKC8vBzHjx/HhAkTUF5ejri4OPz222822/jss8+QkpKCVatWobCwEIWFhTh16hT69OmDqqoqPPfcc5g7dy7S09ORkpICvV6PoqIipKeno2PHjigpKcHzzz9faz/j4uIwcOBAnDx5EgUFBSguLsamTZsQEBCArKwsjB07FgaDwe7jrqiowOOPP45Dhw6hd+/e2LFjB4qLi5Gfnw+9Xo9169ahZcuW+Pzzz/Hiiy/a3S4A9OvXT9l+5plnkJOT41B8bT755BPk5uZafe3cuRPu7u4AgBEjRpjFHT58GE888QT0ej2mT5+OjIwMlJaWQq/XIysrC/Hx8aioqMBTTz1Vr/seDxw4AMD82E2VlJTgueeeg4hg4sSJOHv2LMrKylBQUAC9Xo/09HQkJCSgZcuWVuM9PDzQu3dvADBb5IqIiGrR0KNcIiJyTdOmTVNmgVQqlfTq1Uvi4+Plv//9r/z8889SXV19S+2PGDFCAMgbb7xhUWY6C7phwwaL8l9//dVs5uqbb76xqLN3716l/OLFi2ZlpjORYWFhUlJSYhH/1VdfKXVSUlJsxt9sxYoVAkC6du0qhYWFVo89PT1dVCqVaDQauXz5stU6tkRERCj7VqvVMmDAAJk1a5Z88MEHds1u2prJtCU7O1tat24tAGTo0KFSWVlpVn7fffcJAHnllVdstvG3v/1NAEhkZKRd+zT69ddflWO1NiMtInLo0CEBIN7e3hZ9s9ezzz4rAOTBBx+sVzwRUVPDmUwiIqqXlStX4pVXXoG3tzdEBEeOHMHKlSvx1FNPoXv37mjVqhVeeOEFXL58uV7tG2fEjDNV1rRt21a5Z85Uhw4dlNVTH3jgAQwaNMiizuDBg5V7En/66Seb+0hISLB6T+nQoUMxcOBAADWPurDX+++/DwCIj4+Hj4+P1Tp9+vRB165dUVFRgdTUVLvbBoCtW7ciPj4eHh4eMBgM+N///od33nkHkyZNQlhYGNq1a4dFixY55dmler0eI0eOxG+//Ybw8HBs3rxZmdEEgGPHjuH777+Hh4cH5syZY7OdyZMnAwD27Nnj0Kyw6Sx3ixYtrNbx9/cHUDODfO3aNbvbNtW8eXOL/RERkW0cZBIRUb24u7vj9ddfR05ODj744ANMnToVPXr0gEajAVCzsM/bb7+Nbt264fDhw1bbOHbsGOLj43HvvffC19cXbm5uygIy8fHxAGBzQRYA6Nu3r3LZ7s2Cg4MB1Fzaa41arVYGDzdu3LC5j4cffrjOMnsv8ywqKlIGtK+88gpatWpl83X69GkAQFZWll1tG3l7e+Pdd99FdnY23nvvPUyaNAnh4eFQq9VKewsXLkTPnj3x66+/OtS2KYPBgHHjxuHo0aNo3rw5tm/frgzojIxfEFRXV6NTp042j/XRRx8FABQXFzs0EMzLy1O2AwMDrdbp2LEjOnfujMrKSvTv3x9LlizB0aNHHRrMGts23R8REdnmXncVIiIi2/z8/DBx4kRMnDgRAFBWVoYDBw7g3//+N7Zt24arV6/iiSeewC+//AJPT08lbsWKFXj++edRXV0NoGa1Uz8/P2V2sbS0FIWFhSguLra5b1szgQCUGTV76lRWVtqsExISUmfZlStXbNYxlZubqxzv9evX7YopKSmxq97NWrZsiWnTpmHatGkAamYdv/76ayxduhQHDhxAZmYmYmNj8f3339er/dmzZ2P79u3QarXYunUrOnToYFHHOPNnMBjsntF25HjLysqUbVuPYlGr1UhOTsaYMWOQmZmJ+fPnY/78+dDpdBg4cCCioqLqfL6mcSbbdH9ERGQbZzKJiMipPD09MXToUHz++eeIi4sDUDMbuWvXLqVORkYGZs2aherqajz55JM4fPgwysrKcOPGDWUxmbfeegvAnX3O5O1mOnv23XffQUTqfC1cuNAp+27WrBlGjRqFffv2Kc/wTE9PN3vsib1WrFiB5cuXA6i5/Nfa5cjA78fbuXNnu45VRGw+AsWaoKAgZbu22egePXrg1KlT+Pjjj/H000+jW7duKC0txZ49exAfH4/OnTvj559/thlv/ELAdH9ERGQbB5lERHTbPP3008q28fJPANiyZQsMBgPCw8ORnJyM++67T7nM1ig3N/eO9bM2ta3QaiyztTLpzYyX8AKodVBzO7m5uWHq1KnKz6Z5sccXX3yBWbNmAQAWLFigzGBb06pVKwDAuXPnap2Rri/T+zDrmhnWaDSIiorCqlWr8PPPPyMvLw+JiYkIDAzExYsXlS9ErDG2beu+TyIiMsdBJhER3TbNmjVTtk0vZ7x48SKAmhkmNzfr/xXt2bPn9nbOTrUtvGMs69u3r11tBQQEoEuXLgAcWyzI2WzlpS7Hjh1DTEwMDAYDxo4di9dff73W+vfffz+AmkV3tm7dWr/O1iIsLEy55PncuXMOxQYFBWH69OlYsmQJAODIkSM27wfNzMwEAISHh99Cb4mImg4OMomIyGGZmZl2PRtz3bp1yrbxWYNAzX2cQM1snrXLYXfu3Im0tLRb76gTLFu2zOq9eKmpqfj2228BADExMXa3Z5zd3bt3b50DTXvv2zQ6fvy4Xc/GXL9+vbLdq1cvu9q+dOkSRo4cCb1ej/79+2PdunU2F10y6tu3r9L+yy+/XOfCOY4er7e3t/K5srW4VHl5ea1tmK4cbFwc6WaHDh0CULMiMRER1Y2DTCIictiJEycQHh6OESNGYP369Th//rxSVllZiSNHjuAvf/mLcl9lv379zO7bM64meuLECTz77LPK4KK4uBirVq1CdHT0H+b+t0uXLmHEiBHKZaVVVVXYsmULoqOjAdQMnqOiouxu75lnnkH//v0BAJMmTcKCBQuUmV2gZuGbtLQ0zJw5U3kMi73S0tLQoUMHxMTEYPPmzbh06ZJSZlyQadSoUfj4448BANHR0QgNDa2z3fLycowcORLZ2dlo27YtPvvsM7NFnGxRqVRITEyEVqvFhQsX0L9/f2zZssVscZ+cnBxs2LABERERePHFFx06XgB46KGHAPw+ELxZcnIy7r//fqxatcpsttNgMODLL7/E/PnzAQADBgywWB0XAC5fvowLFy4A4CCTiMhud/KhnERE1Djs2rVLAJi9NBqNBAYGikqlMnu/d+/ekpOTY9FGbGysWT1/f39Rq9UCQPr06SPLly8XABIaGmoRGxcXJwAkLi7OZh8HDx4sAOS1116zWSc0NFQAyJo1a8zeT01NVfr16aefioeHhwAQPz8/0Wq1Slnbtm3l3LlzFu2axluTl5cnDz/8sNnx+/r6ir+/v9n5c3d3t9l3axITEy3y4unpKQEBARbvDxs2TAoKCuw6J5mZmUqct7e3BAcH23z17dvXos3du3dLUFCQ0oZarZagoCDR6XRmfZo6dapDxysicuTIEQEgXl5eVo9nzZo1ZvvQarUSFBQkbm5uynutW7eWjIwMq+2vWrVKAEjPnj0d7hsRUVPFR5gQEZHDHnnkEfzyyy/44osvcODAARw/fhzZ2dnIz8+HTqdD69at0atXL0RFReHJJ5+0et/lhx9+iD/96U9YvXo1Tp8+DYPBgO7duyMmJgazZ8/Gxo0bG+DILEVGRuLgwYP4xz/+gQMHDqC0tBTt27dHVFQUXn75ZQQEBDjcZvPmzbFnzx5s27YNH3zwAQ4dOqQ8BiUkJATdu3fHiBEjMHr0aIfanT59OgYMGIBdu3bh4MGDOHHiBC5duoSCggL4+PigTZs26Nu3L2JjY/HYY4853G+gZra5tkV8rM1wRkRE4OzZs0hMTMSOHTtw8uRJ5Ofnw8vLC126dMGAAQMQGRmJiIgIh/vTs2dP9OvXD4cPH8Ynn3yCKVOmmJWPGjUK69evR2pqKn788UdcunQJ169fh4+PDzp16oTHH38cM2fOtDqLCdR8ToGac0tERPZRiTSiteGJiIicIC0tTXnMB/+b/ONbv3494uLiMGTIEHz99ddOa/f8+fPo0KEDfHx8kJ2dXeszV4mI6He8J5OIiIhc2oQJE9ClSxekpqbaXACoPpYsWQIRwUsvvcQBJhGRAzjIJCIiIpemVqvx5ptvAgAWLlzolDYvXryI1atXo23btspzQYmIyD68J5OIiIhc3ogRI/DOO+8gPz8fer3e7Fmg9ZGVlYWXXnoJQ4YMsWslXSIi+h3vySQiIroJ78kkIiKqPw4yiYiIiIiIyGl4TyYRERERERE5DQeZRERERERE5DQcZBIREREREZHTcJBJRERERERETsNBJhERERERETkNB5lERERERETkNBxkEhERERERkdNwkElERERERERO8/9ZhAfSn8nisAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Smooth the curves using a rolling average with window size 5\n",
    "window_size =1\n",
    "\n",
    "smoothed_std_lev_true_NLL = np.convolve(std_rel_lev_true_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_std_l2s_true_NLL = np.convolve(std_rel_l2s_true_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "smoothed_std_unif_true_NLL = np.convolve(std_rel_unif_true_neg_log_likelihood_array, np.ones(window_size)/window_size, mode='valid')\n",
    "\n",
    "# Plot the mean values for misclassification rates with smoothed curves\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_unif_true_NLL, label=\"Uniform Sampling\", color='b')\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_l2s_true_NLL, label=\"L2S Sampling\", color='g')\n",
    "plt.plot(s_values[window_size-1:], smoothed_std_lev_true_NLL, label=\"Leverage Score(this work)\", color='r')\n",
    "\n",
    "plt.xlabel(\"Sample Size (s)\", fontsize=18)\n",
    "plt.ylabel(\"Stdev. relative error full-data NLL\",fontsize=18)\n",
    "plt.legend(fontsize=18)\n",
    "plt.grid(True, which='both')\n",
    "plt.legend(fontsize=18, loc='upper right', bbox_to_anchor=(1, 0.8))\n",
    "plt.yscale('log')  # Set y-axis to log scale\n",
    "# plt.xscale('log')\n",
    "\n",
    "plt.xticks(fontsize=18)\n",
    "plt.yticks(fontsize=18)\n",
    "plt.savefig('plots\\\\stdev_fulldata_NLL_default.png', dpi=300)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}