Plotting_MS_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "# plt.style.use('seaborn-whitegrid')\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "def variance(data, ddof=0):\n",
    "    n = len(data)\n",
    "    mean = sum(data) / n\n",
    "    return sum((x - mean) ** 2 for x in data) / (n - ddof)\n",
    "def stdev(data):\n",
    "    var = variance(data)\n",
    "    std_dev = math.sqrt(var)\n",
    "    return std_dev"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "mlkl = np.array(mlkl)\n",
    "errormlkl = np.std(mlkl)/np.sqrt(len(mlkl))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6302.75\n",
      "1274.7288130716274\n",
      "[3091 9358 8161 4601]\n"
     ]
    }
   ],
   "source": [
    "print(np.mean(mlkl))\n",
    "print(errormlkl)\n",
    "print(mlkl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_to_plot = [c8, fadd, mlkl, rip3, tradd, traf]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4383.25, 3473.5, 6302.75, 11190.0, 5241.5, 13013.75]\n",
      "[898.5213808669218, 694.4095063433392, 1274.7288130716274, 2234.486797902373, 1047.149255120778, 2588.3006339826525]\n"
     ]
    }
   ],
   "source": [
    "data_avg = [np.mean(d) for d in data_to_plot]\n",
    "print(data_avg)\n",
    "\n",
    "data_error = [np.std(d)/np.sqrt(len(d)) for d in data_to_plot]\n",
    "print(data_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lower_error = 0.4 * error\n",
    "upper_error = error\n",
    "asymmetric_error = [lower_error, upper_error]\n",
    "\n",
    "ax1.errorbar(x, y, xerr=asymmetric_error, fmt='o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = [1, 3, 5, 7]\n",
    "b = [11, -2, 4, 19]\n",
    "plt.scatter(a, b)\n",
    "  \n",
    "c = [1, 3, 2, 1]\n",
    "  \n",
    "plt.errorbar(a, b, yerr=[c, fmt=\"o\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Create data tr 23 hr \n",
    "c8 = np.array([2118, 2952, 4646, 6412]) #3799 4646+2952\n",
    "fadd = np.array([1733,2580, 3638, 5248]) #3109\n",
    "mlkl = np.array([3091, 4600, 6488, 9358]) #5544\n",
    "rip3 = np.array([6939, 9311, 11997, 14983]) #10654\n",
    "tradd = np.array([2618,4067, 5325, 7926]) #4696 4067+5325\n",
    "traf = np.array([6565,9772,13780, 16878]) #11776"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3799.0\n",
      "3109.0\n",
      "5544.0\n",
      "10654.0\n",
      "4696.0\n",
      "11776.0\n"
     ]
    }
   ],
   "source": [
    "print(np.median(c8))\n",
    "print(np.median(fadd))\n",
    "print(np.median(mlkl))\n",
    "print(np.median(rip3))\n",
    "print(np.median(tradd))\n",
    "print(np.median(traf))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2535.0\n",
      "5529.0\n"
     ]
    }
   ],
   "source": [
    "data = [2118, 2952, 4646, 6412]\n",
    "  \n",
    "# First quartile (Q1)\n",
    "q1= np.median(data[:2])\n",
    "print(q1)  \n",
    "# Third quartile (Q3)\n",
    "q3 = np.median(data[2:])\n",
    "print(q3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_median = [3799, 3109, 5544, 10654, 4696, 11776]\n",
    "# lower_error = [847, 2580, 4600, 9311, 4067, 9772]\n",
    "# upper_error = [847, 3638, 6488, 11997, 5325, 13780]\n",
    "error = [847, 529, 944, 1343, 629, 2004]\n",
    "all_error = [lower_error, upper_error]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (11,7))\n",
    "plt.errorbar(range(len(data_avg)), data_median,  yerr= error, capsize = 10, fmt='ok', ecolor ='black', ms = 10)\n",
    "plt.xticks(plt.xticks()[0][1:-1],labels = ['C8','FADD','MLKL','RIP3', 'TRADD','TRAF2'], fontsize = 20)\n",
    "# print(plt.xticks()[0][1:-1])\n",
    "plt.yticks(plt.yticks()[0], labels = ['{:,}'.format(int(x)) for x in plt.yticks()[0]])\n",
    "# print(plt.yticks()[0])\n",
    "# print(['{:,}'.format(int(x)) for x in plt.yticks()[0]])\n",
    "plt.grid(False)\n",
    "plt.ylim(top = 17000)\n",
    "plt.yticks(fontsize = 28)\n",
    "plt.xticks(fontsize = 28)\n",
    "plt.xlabel('Proteins', fontsize = 20, labelpad = 15)\n",
    "plt.ylabel('# of molecules', fontsize = 20, labelpad = 15)\n",
    "plt.tight_layout()\n",
    "plt.savefig('massspec_data_werrorbars_median.pdf')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (11,7))\n",
    "plt.errorbar(range(len(data_avg)), data_avg,  yerr= data_error, capsize = 10, fmt='ok', ecolor ='black', ms = 10)\n",
    "plt.xticks(plt.xticks()[0][1:-1],labels = ['C8','FADD','MLKL','RIP3', 'TRADD','TRAF2'], fontsize = 20)\n",
    "# print(plt.xticks()[0][1:-1])\n",
    "plt.yticks(plt.yticks()[0], labels = ['{:,}'.format(int(x)) for x in plt.yticks()[0]])\n",
    "# print(plt.yticks()[0])\n",
    "# print(['{:,}'.format(int(x)) for x in plt.yticks()[0]])\n",
    "plt.grid(False)\n",
    "plt.ylim(top = 17000)\n",
    "plt.yticks(fontsize = 28)\n",
    "plt.xticks(fontsize = 28)\n",
    "plt.xlabel('Proteins', fontsize = 20, labelpad = 15)\n",
    "plt.ylabel('# of molecules', fontsize = 20, labelpad = 15)\n",
    "plt.tight_layout()\n",
    "plt.savefig('massspec_data_werrorbars.pdf')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(columns=['C8','FADD','MLKL','RIP3', 'TRADD','TRAF2'])\n",
    "df['C8'] = c8\n",
    "df['FADD'] = fadd\n",
    "df['MLKL'] = mlkl\n",
    "df['RIP3'] = rip3\n",
    "df['TRADD'] = tradd\n",
    "df['TRAF2'] = traf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfmelt = pd.melt(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mode1df = pd.DataFrame({'C8': df['C8'], \n",
    "                          'FADD': df['FADD'],\n",
    "                          'MLKL': df['MLKL'],\n",
    "                       'RIP3': df['RIP3'],\n",
    "                       'TRADD': df['TRADD'],\n",
    "                       'TRAF2': df['TRAF2']})\n",
    "dfclus0n = pd.DataFrame(data = mode1df, columns = ['C8','FADD','MLKL','RIP3', 'TRADD','TRAF2'])\n",
    "dfclus0n = pd.melt(dfclus0n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fP66DBw8qLS1NxcXFioyMVMeOHdWtWzePzZGVlaXdu3crPT1dGRkZCgsLU1RUlPr166fAwECPzQMAAAAA8A0eCSx27typGTNmKD09XaZpSlKlR5mWNmLECL344ovKyMjQuXPn9K9//atGjjYtLi7W0aNHtX//fiUkJGj//v06dOiQCgoKrD4LFy7U2LFjqzVuSkqKW/UuXbpUd9xxR7Xuyc3N1Z///GetXbtWZ8+eLfd+QECAbr75Zk2bNk1du3Z1ubb4+Hi99dZb2rdvX4Xvd+7cWTExMbrnnntcnuPUqVNasmSJNm3apMuXL5d7v0mTJho9erSmT5+uZs2auTwPAAAAAMC3uB1Y7Nq1S5MnT1Z+fr7tur+/v0JDQ3XhwoVK72/UqJHGjBmjDz74QJL0xRdfeDSw+Oc//6m//OUvOnDggPVoii87fPiwnnzySSUnJzvsU1BQoM2bN2vr1q2aNWuWxo0bV6058vPzNX/+fH388cdV1jJnzhx9+eWXWrx4sUJCQqo1T3x8vJ577jllZmY67HPp0iV99NFH+vLLL7VkyRL179+/WnMAAAAAAHyTW5tuXrhwQY899pjy8vIkXXn0Y+TIkfrggw+0d+9erVmzxqlxRowYYd2/bds2d0oqZ/fu3dqxY0e9CCvOnDmjhx9+uFxY0aNHD91xxx268cYb1bhxY+t6Xl6efv/73+uzzz6r1jzz5s0rF1ZERETo5z//uYYPH67o6Gjbe19++aWmT5+uoqIip+fYvn27YmNjbWFFYGCgBg4cqFGjRqlPnz62R4PS09M1depUHT16tFqfBQAAAADgm9xaYfHaa6/p4sWLkq48ArJgwQLdfffd1vvOPhZyww03qEGDBiosLNS5c+eUkpKiNm3auFNalUJDQxUcHKz09HSPjvvQQw8pJibG6f4tWrRwqp9pmnryySdt9Xbp0kWLFy+27SVx6dIlLV261FqxIklz5sxR9+7d1blz5yrnWbVqldauXWu1AwICNG/ePI0dO9YKEEzT1MaNG22rI77++mstW7ZM06ZNq3KOM2fOaPr06SosLLSujRo1SnPmzFF4eLh17ccff9Ts2bO1Y8cOSVf2uXj00Ue1fv16NWzYsMrbHiCoAAAgAElEQVR5AAAAAAC+y+UVFoWFhVq3bp0Mw5BhGHr44YdtYUV1NGzYUB06dLDanv5b9EaNGqlv37568MEH9fLLL2vDhg3auXOnW3svONKkSRO1adPG6T9BQUFOjRsfH6+9e/da7TZt2uiDDz4ot/FlkyZN9Pzzz+vBBx+0ruXl5Wnp0qVVzpGbm6tXX33Vdu2VV17RPffcY1vtYBiGRo4cqXfeeUcNGvxf5vXOO+/op59+qnKe5cuXKyMjw2qPHDlSS5YssYUVktS2bVu99dZb6t27t3XtxIkTWrVqVZVzAAAAAAB8m8uBxXfffaesrCyZpqmAgABNnTrVrUJatWplvU5NTXVrrNIeffRR7d69W6tWrdKcOXP0y1/+Uh07dnR69Ye3WLZsma09d+5cNW3a1GH/p59+Wq1bt7baGzdu1A8//FDpHB999JFtE89Ro0ZZj+tU5Prrr7etJrl8+bLefPPNSudIT0/X6tWrrXZISIjmzZsnP7+K/1EMDAzUggULbO+vWLGi3J4pAAAAAID6xeXA4sSJE5Ku/G177969q73hYlmhoaHW66ysLLfGKi0sLMy2CsAXHTp0SElJSVa7Y8eOGjZsWKX3BAUF6b777rNd+/zzzyu9Z/369bb2xIkTq6wtJibGFib8/e9/t06KqUh8fLwtbBgzZky5lRVlde3aVTfddJPV/umnn7R9+/YqawMAAAAA+C6XA4vz589br1u2bOl2IcXFxRW+hvTVV1/Z2nfddZdT991555229pdffumwb3p6uhITE612u3btbI9iOBIREaGBAwda7bNnzzo8BlXy3GfZvHmzU/cBAAAAAHyTy4FF6U0PCwoK3C6k9PGnzZo1c3u8+uSbb76xtZ092rNVq1a2x0KOHTum06dPV9h327ZttpUR/fr1c7q+svWUrbdEQUGBtYGmdOWfoV69erk0h6dPkwEAAAAAeBeXA4uwsDDrdUpKituFlN5fofTYkI4cOWK99vPzU8+ePZ2+t+wqidJjlXb48GFb+/rrr/f4HCdOnLCFW927d3f6tI82bdrYHh1JSUnR5cuXna4RAAAAAOBbXN7coWPHjpKuHHGZlJSkjIwMl1dG7Nq1yzoeVSr/A9iXfPvtt/rhhx908OBBnTt3Tn5+fmrWrJlat26tAQMG6NZbb3V6VYEkXbx40fb4TYsWLZw+WURSueNhjx07pptvvrlcv2PHjtna0dHRbs1REXfmKJmnZFNQ0zR1/PjxcqekAAAAAADqB5dXWPTo0UMtWrSQYRgqKirS+++/73IRr7/+uqQrG3h27NhR11xzjctj1bWdO3dq8+bNOnXqlC5fvqycnBydPn1aO3fu1J///Gfdfffdmjhxom0Tzcr8+OOPtnbp01ScERkZWel4JU6ePOnyPGX7lmzIWlbZucvWVpWIiAin5gEAAAAA+D6XAwtJGj16tEzTlGmaWrFihfbu3VvtMZYvX27b8+Dee+91pySfsG3bNt177736xz/+UWXfsiemVPdxmebNm9vamZmZFfYre73sfZUJCgpSo0aNrHZOTk6FG6eWnaO6n6Vsf0efBQAAAADg+9w67/PRRx/V2rVrlZ2drYKCAk2aNElz5szRb37zmyrvzcjI0JIlS7RmzRoZhiHTNNWiRYtyR3H6iuDgYP3sZz/TjTfeqM6dO1vHqV64cEGJiYmKj4/Xt99+a/XPzc3VM888oyZNmmjIkCEOx83Ozra1AwMDq1VX6SBBuhImVKTsdVfmKb2nRE5OTrmjbj0xR2XjAQAAAADqD7cCi+bNm+v3v/+9ZsyYIcMwlJubqzlz5uiNN97QiBEjyj3asWvXLh07dkz/+7//q3/961/KycmxTqZo0KCBFi9eXO0fsXUtODhYc+fO1a9//WsFBweXe79Dhw664YYb9MADD2jbtm165plndO7cOUlSUVGRnnrqKcXHxzvc/yM3N9fWdnaTyhJlv8+y4zm6Xt3/HMrWVVFg4e4czn6WymRnZ2v37t3Vvg8AAHi3kpWX/Pc84F1YFV3/ZGZmuvTv2uqcRFnCrcBCksaMGaOzZ89q0aJF1kqJkydP6r333rP1M01TDz74oK1tGIakKydfzJ49W4MHD3a3nFoXFham8ePHO9X3pptu0vvvv6/f/va31v/jXrx4UW+//baefvppp8Yo+c6cVbZ/6aNLvWEed7gyR+PGjdW1a9caqAYAANSl1atXS3LtfxADqDmrV69Wxk+pdV0GPCg0NLTW/l3r1h4WJSZMmKA333zT2mOg9I9XwzCsPyX7XZRcN01TzZo10/LlyzVu3DhPlOL1rr32Ws2YMcN27eOPP3b447vsiSB5eXnVmq/s0Z8VrQKpaJ7qHhlatq7GjRtXOUd1P0vZ/o4+CwAAAADA93kksJCkIUOGaOPGjZo1a5batWtnhROl/5QwTVMRERGaNm2aNm3apKFDh3qqDJ8wduxYNW3a1GqfP39ehw4dqrBv2R/lNfUjvzbCBAILAAAAAICz3H4kpLTg4GDFxMQoJiZG6enp2rNnj9LT05WRkaHCwkI1bdpU4eHh6t27tzp27OjJqX1KQECABgwYoE2bNlnXkpKS1K1bt3J9y+4DceHChWrNdf78eVs7NDS0wn6hoaFKT0+3zePsKR65ubm2/SSCg4Pl51c+Cys7d019FgAAAACA7/NoYFFaRESERo0aVVPD+7zWrVvb2mV/jJdo166drZ2aWr3nv9LS0mzt6OjoCvtFR0fryJEjtvuuvfZap+YoW1Pbtm0r7Ff2urufxdE8AAAAAADf57FHQlA9ZY/odPR4RNOmTW0rHc6ePVut0zFSUlJsbUcrW8peP3nyZI3PUfa+6sxjGIbat29frfsBAAAAAL6DwKKOlH0cwtGxppLUqVMn63VxcbEOHDjg9Dz79u1zOFZpnTt3rvS+yiQkJNjajlZmtGvXTgEBAVY7MTFR+fn5Ts1x6tQpnT171mq3bt263J4YAAAAAID6g8Cijuzfv9/WbtmypcO+N910k629a9cup+ZIS0vTqVOnrHaHDh0UFRXl1BzVOVe3bD1DhgypsF/J3h0l8vPzy30Pzs7xs5/9zOn6AAAAAAC+h8CiDhw9elQHDx602v7+/rrhhhsc9r/11ltt7c8//9ypeT777LNKxyktIiJCPXr0sNonTpxwapVFenq6duzYYbVLNlV1pGwNZWt0pGy/4cOHO3UfAAAAAMA3Odx0c9myZbVZh83jjz9eZ3PXNNM0tXjxYtsxr3369LEdc1pW165d1aVLFyUlJUm6Enj8+9//1rBhwxzec/nyZa1atcp2bcyYMZXWNmbMGH3//fdW+91339Urr7xS6T1xcXEqKiqy2qNHj5ZhGA77jxw5Ui+//LL1KMj69ev1xBNPKDw83OE9hw4d0rZt26x2eHi4Bg8eXGldAAAAAADfVmlgUdkPz5rkK4HFvn37VFhYqH79+jnVv7i4WC+//LK++uor2/VHHnmkynsff/xxPfnkk1Z7wYIFlQYdf/zjH22Pg4wYMULXXXddpXOMGzdOb7/9trVXxIYNGzRmzBiNGDGiwv4JCQmKi4uz2o0aNdLkyZMrnSMiIkL33nuvPvjgA0lSVlaW5s+fr6VLl1Z4FGpeXp6ef/55FRcXW9emTJmihg0bVjoPAAAAAMC3edUjIaVXHXhSSkpKhX8uXbpk63fhwoUK+/30008Vjnv06FHdf//9Gj9+vFavXm3bFLI00zS1c+dOxcTE6N1337W9d9ttt+nmm2+u8jOMHDlSffv2tdonT57UAw88oEOHDtn6ZWZmasGCBVq5cqV1LTAwUNOnT69yjqCgID3xxBO2a7GxsVqzZo1tFYVpmtq4caMmTZqkwsJC6/rEiRMr3YujxNSpU21BS3x8vJ566qly39/Jkyc1efJk26Mp7dq107hx46qcAwAAAADg2wzTQUrQrVu32q5F0pXjKn/44QePjtm1a1e37h84cKDef//9ctfXrl2rWbNm2a61atVKHTp0UGhoqAICApSRkaHExESdP3++3P29e/dWXFyc06ddpKen6+6779aZM2esa4ZhqEePHoqOjlZGRoYSEhKUnZ1tu2/x4sW66667nJpDkmbNmqW1a9farkVGRqp79+7y9/dXUlKSfvzxR9v7Q4cO1fLly+Xv7+/UHNu3b9fkyZNtgUdgYKB69+6t8PBwpaamKiEhwRaUhISE6K9//avDk06qUhLuuPvPAwAA8D4zZ86UJC1atKiOKwFQ2syZM3UyOUn9O1X9F5vwfruOnFF0xy619u9ah4+EbN68uVYKqG9SU1OVmppaZb9x48Zp1qxZCgwMdHrsiIgIvf3223ryySd17NgxSVdWOxw4cKDCo04DAwP17LPPViuskKT58+dLki20SEtLU1paWoX9b7nlFi1evNjpsEKSBg8erCVLlmj27NnKzMyUdOXxj9IbeJYWERGhJUuWuBxWAAAAAAB8i8PAonXr1rVZh0/q16+fJkyYoG+//VaHDx+2rRaoSEhIiG677TZNmDDB5RUsXbp00d/+9je99tprWrt2rc6dO1euT0BAgIYMGaLY2FiXVhM0bNhQCxcu1C233KIVK1Y4PHq0U6dOmjBhgu65555qzyFJt99+u3r27KklS5Zo06ZNunz5crk+oaGhGj16tKZPn67mzZu7NA8AAAAAwPc4fCQE1ZOXl6fDhw/r1KlT+umnn5STk6OioiKFhoaqadOm6ty5s7p06VLhxpKuKiws1J49e5SSkqKzZ8+qcePGioyMVN++fRUWFuaxeY4dO6aDBw8qPT1dRUVFioiIUKdOnTz62FBWVpZ2796t1NRUXbx4UWFhYYqKilL//v2rtQqlMjwSAgBA/cUjIYB34pGQ+sVrHglB9QQGBqpnz57q2bNnrc3ZoEEDDRw4UAMHDqzReTp06KAOHTrU6BwhISGVHtMKAAAAALi6eNUpIQAAAAAAABKBBQAAAAAA8EIEFgAAAAAAwOu4tYfFsmXLPFWHzeOPP14j4wIAAAAAAN/gdmBhGIanarEQWAAAAAAAcHWrs1NCyp6mahiGTNOskQAEAAAAAAD4FrcDi7LBQ3WUhBOmabo1DgAAAAAAqF/cCiw2b95crf7FxcXKzMzUkSNHtHXrVm3YsEEFBQVq2rSp5s+fr169erlTDgAAAAAAqCfcCixat27t0n3XXXed7rrrLj3xxBOKjY3VgQMHNGvWLP35z3/W4MGD3SkJAAAAAADUA3V6rGl0dLTee+89de7cWbm5uXriiSeUkpJSlyUBAAAAAAAvUKeBhSSFhIToueeekyRlZ2frlVdeqeOKAAAAAABAXavzwEKSBg8erMjISJmmqfj4eF28eLGuSwIAAAAAAHXIKwILSerevbskqaCgQLt3767jagAAAAAAQF3ymsCicePG1uvU1NQ6rAQAAAAAANQ1rwkszp07Z73Ozs6uw0oAAAAAAEBd84rA4tKlS9q7d6/Vbt68eR1WAwAAAAAA6ppXBBYvvPCCLl++bLWvu+66OqwGAAAAAADUtQZ1NXFxcbG+/fZbvf7669q5c6cMw5BpmmrVqpV69OhRV2UBAAAAAAAv4FZg8dBDD1X7nqKiIl26dEknT55UXl6eJMk0TUmSYRiKjY11pyQAAAAAAFAPuBVY7NixQ4ZhVPu+koBCku3+CRMm6M4773SnJAAAAAAAUA/U2SMhJUzTVEREhGbMmKExY8bUdTkAAAAAAMALuBVYREVFVX/CBg0UEhKi5s2bq1u3bho0aJCGDBkiPz+v2P8TAAAAAAB4AbcCiy+//NJTdQAAAAAAAFhY1gAAAAAAALwOgQUAAAAAAPA6BBYAAAAAAMDr1PkpIQAAAKg5y5cvV3Jycl2XUeNKPuPMmTPruJKa17FjR02dOrWuywCAGudWYJGbm6tt27ZZ7YEDByo0NLRaY1y6dEk7d+602kOGDFFgYKA7ZQEAAOD/S05O1qEDBxTuX7//niqguFiSdO6Hg3VcSc06W1RY1yUAQK1x67+51q5dqxdffFGSFBkZqU2bNlV7jODgYL344otKS0uTJL3wwgu655573CkLAAAApYT7N9DYZmF1XQY8YG3G+bouAQBqjVt7WHz66acyTVOSNG7cOPn7+1d7jAYNGui+++6TaZoyTVPr1q1zpyQAAAAAAFAPuBxYXLx4UQcOHLDao0aNcrmIX/ziF9brffv2KSsry+WxAAAAAACA73M5sEhMTFRxcbEMw1DLli0VHR3tchHR0dGKiIiQJBUVFSkxMdHlsQAAAAAAgO9zObA4ceKE9bpz585uF1J6jNJjAwAAAACAq4/LgcWlS5es182aNXO7kKZNm1Y4NgAAAAAAuPq4HFiU3mAzLy/P7UIKCgqs10VFRW6PBwAAAAAAfJfLgUVY2P8djZWenu52ISXHmkpS8+bN3R4PAAAAAAD4LpcDi8jISEmSaZpKTEx062SPrKws20abLVu2dHksAAAAAADg+1wOLPr27auAgAAZhqGioiJ9+OGHLhfx0UcfqbCwUNKVR0369evn8lgAAAAAAMD3uRxYNGrUSAMGDJBpmjJNUytWrFBSUlK1xzl8+LCWL18uwzBkGIb69u2rkJAQV8sCAAAAAAD1gMuBhSRNmTJFkmQYhrKysvTwww9rx44dTt+/a9cuPfzww8rOzpZpmrYxAQAAAADA1cutwOLGG2/Uz3/+c5mmKcMw9NNPP2nChAl68skntWXLlgr3tcjOztbXX3+tJ598UjExMTpz5oykK6HH0KFDNXToUHdKAgAAAAAA9UADdwf4wx/+oN/+9rc6evSoDMNQcXGxNm7cqI0bN8owDLVs2VKhoaEyDEOZmZk6c+aMiouLJckKOkzTVKdOnbRkyRK3PxAAAAAAAPB9bq2wkKSQkBDFxcWpf//+VgAhXQkjiouLlZaWpsOHDyspKUmpqakqKiqyHv8oCSsGDBigd999l70rAAAAAACAJA8EFpIUHh6ulStXasaMGWrRooUtkKjoj3Ql0Ljmmms0c+ZMxcXF6ZprrvFEKQAAAAAAoB5w+5GQEn5+fnr44Yf14IMP6quvvtK3336rffv26ezZs8rIyJAkNW3aVOHh4erbt68GDRqkW265RQEBAZ4qAQAAAAAA1BMeCyxKNGzYULfffrtuv/12Tw8NAAAAAACuEh4PLAAAAAAAkKQLFy4oMzdfu46cqetS4AGZufm6cOFCrc3nkT0sAAAAAAAAPIkVFgAAAACAGtG8eXNlXfhJ/Tu1rOtS4AG7jpxR8+bNa22+GgksTp48qd27dyslJUUZGRnKycmRJP33f/93TUwHAAAAAADqGY8FFgUFBfrkk08UFxen48eP294zTVOGYVQYWMTHx+udd96RdOUUkeXLl3uqJAAAAAAA4KM8ElgkJyfr6aef1sGDB2WapiTJMAxJstqODB48WM8++6xycnJkGIa2b9+uwYMHe6IsAAAAAADgo9zedPPIkSMaN26cLayQrgQVJSsrKhMaGqo77rjDam/YsMHdkgAAAAAAgI9zK7DIycnRf/zHf+jixYvWtZ49e+qll17S5s2b9Y9//KPKFRaSNHLkSOv1N998405JAAAAAACgHnDrkZC33npLqamp1iqKRx99VNOmTbPeP3XqlFPjDBo0SH5+fiouLtbp06eVnp6uiIgId0oDAAAAAAA+zOUVFqZpatWqVVZY8etf/9oWVlRHUFCQ2rZta7WPHj3qalkAAAAAAKAecDmw2L9/v86fPy/TNOXv76+nn37arULatGljvU5JSXFrLAAAAAAA4NtcDiySk5MlXTkNpGfPnmrRooVbhTRp0sR6nZWV5dZYAAAAAADAt7kcWJw7d856HRUV5XYhpU8TKSwsdHs8AAAAAADgu1wOLPz8/u/WoqIitwvJyMiwXpdebQEAAAAAAK4+LgcWYWFh1uv09HS3Czl06JD1unnz5m6PBwAAAAAAfJfLgUXJqR6maSoxMVG5ubkuF/HDDz/o7NmzVrtHjx4ujwUAAAAAAHyfy4HF9ddfbz26UVBQoDVr1rhcxJtvvmm9bt26te3EEAAAAAAAcPVxObDw9/fXiBEjJF1ZZbF06VIdP3682uOsW7dO//jHP2QYhgzD0K9+9StXSwIAAAAAAPWEy4GFJD3++ONq2LChDMNQdna2HnjgAW3fvt2pewsLC7V8+XLNnj1bhmHINE2FhIQoJibGnZIAAAAAAEA90MCdm6OiohQbG6tFixbJMAydPXtWkyZNUv/+/XX77bfbNuaUpNTUVB0/flzbt2/X+vXrlZqaKtM0JV051nTevHkKDQ11pyQAAABcRTLz8rTp6BElXzivBn5+GtC6jQa1iZa/n1t/LwcA8AJuBRaSNHHiRJ0+fVrvv/++tVJi165d2rVrl62faZq69dZbbW1J1j1TpkzRmDFj3C0HAAAAV4kvk49q2f9uU15RkXUt/shhRYWG6ve3jlDrJk3rsDoAgLs8Ej3Pnj1bL7zwggIDA23XTdO09qYoCSZKBxWS1KBBAy1YsECxsbGeKAUAAABXgb2pp/WnbVttYUWJ05mZmr0pXjkFBXVQGQDAUzy2Vu7ee+/Vhg0b9NBDDyk4ONgKJkpCipJ2ybUGDRro7rvv1oYNG3TPPfd4qgwAAABcBVbvT1Bxqf99WdZP2dn6MvlILVYEAPA0tx8JKa1Vq1Z67rnnNGPGDO3fv1979uxRWlqaLl68qMLCQjVt2lTh4eHq3bu3+vfvr6CgIE9ODwAAgKtARm6uEtLTquy35fhxjenavRYqAgDUBI8GFiUCAgJ0ww036IYbbqiJ4QEAAHAVc/ZRj+z8/BquBABQk9g+GQAAAD4lLChIgf5V/71bK06fAwCfRmABAAAAn9IoIEDDOnSost8dnbvUQjUAgJpCYAEAAACfc//1fRRWyX5oN7aJVr+o1rVYEQDA0wgsAAAA4HOuadxYL9/+C/WPai0/w7CuBwcE6NfX9dCsYbfIKHUdAOB7HD78t27dutqsw+ZXv/pVnc0NAAAA39AqNFTzh9+mtMxMHbtwXg38/dWzZYSCAgLqujQAgAc4DCyeffbZOkulCSwAAADgrMjQUEWywSYA1DtVbq9smmZt1CHDMGSaJkv3AAAAAABA5XtY1FZYUdtzAQAAAAAA7+ZwhcXKlStrsw4AAAAAAACLw8Bi4MCBtVkHAAAAAACAhWNNAQAAAACA1yGwAAAAAAAAXofAAgAAAAAAeB0CCwAAAAAA4HUcbrrpjoMHD2rv3r36/vvvdf78eV26dEmS1KRJE4WFhalHjx7q27evunXrVhPTAwAAAAAAH+exwMI0TX388cdauXKljhw5UmnfTz75RJLUqVMnPfTQQ7r77rtlGIanSgEAAAAAAD7OI4+EnD59Wg888IDmzp2rw4cPyzRNmabpsH/J+4cPH9bcuXM1fvx4paSkeKIUAAAAAABQD7gdWKSmpmr8+PHas2ePTNOUYRjWaomSYKLsH0lWP9M0tWfPHj3wwANKTU11txwAAAAAAFAPuPVISFFRkaZMmaLU1FRbANG9e3eNGTNGvXv3VseOHRUSEiJJysrK0rFjx7Rv3z6tX79eiYmJ1j1paWmaMmWK1q1bJ39/f498OAAAAAAA4JvcCixWrVqlw4cPW6FDeHi45s6dq5EjR1bYPywsTGFhYerXr58mTZqkTZs26fe//73OnTsn0zR15MgRffTRR3rggQfcKQsAAAAAAPg4tx4Jee+996ywomXLlvrwww8dhhUVGTFihD766CNdc8011jhxcXHulAQAAAAAAOoBlwOLY8eO6eTJk5Ku7Ecxb948tW3bttrjREdHa+7cudbeFikpKUpOTna1LAAAAAAAUA+4HFgkJiZKurKxZkREhIYPH+5yESNGjFBkZKTV/uGHH1weCwAAAAAA+D6XA4tz585JurK6olu3bm4X0r1793JjAwAAAACAq5PLgcXly5et140bN3a7kODg4ArHBgAAAAAAVx+XA4vmzZtbr0+dOuV2IadPn65wbAAAAAAAcPVxObCIioqSdGUPiwMHDujs2bMuF3Hu3DklJCSUGxsAAAAAAFydXA4s+vfvr0aNGskwDBUVFWnRokUuF7F48WIVFRVJkgIDA9W/f3+XxwIAAAAAAL7P5cAiMDBQw4YNk2maMk1T69ev18KFC1VcXFytcf7whz9o3bp1MgxDhmHo5z//uQIDA10tCwAAAAAA1AMuBxaSFBsbqwYNGsgwDJmmqZUrV+pXv/qVvvjiC+Xn5zu8r6CgQBs3btTYsWP19ttvW/f7+/tr2rRp7pQEAAAAAADqgQbu3Ny+fXvNmDFDCxcutEKHpKQkTZ8+XY0aNVK3bt3Uvn17NW7cWIZhKCsrSydOnNDBgweVm5sr0zQlyVpd8cwzz6hDhw4e+WAAAAAAAMB3uRVYSFJMTIyys7P16quvyjAMSVc24szNzdV3332n7777rtw9pYOKktePPfaYJkyY4G45AAAAAACgHnDrkZASv/vd7/Tuu++qbdu2tjDCkdLBRtu2bfXOO+/o8ccf90QpAAAAAACgHnB7hUWJG2+8Uf/85z+1ZcsWffbZZ9q7d69Onz5dYd+oqCj17dtXd955p4YNG1ZpuAEAAAAAAK4+HgsspCsrJ4YNG6Zhw4ZJkjIyMnT+/HllZmZKkkJDQxUWFqZmzZp5cloAAAAAAFDPeDSwKKtZs2aEEwAAAAAAoNo8socFAAAAAACAJxFYAAAAAAAAr0NgAQAAAAAAvE6N7WGRk5OjrKwsFRYWVvveqKioGqgIAAAAAAD4Co8FFkePHtW6deu0Y8cOJSUl6fLlyy6NYxiGEhMTPVUWAAAAAADwQW4HFllZWfqv//ovffrppzJNU5Ks/wsAAAAAAOAKtwKLzMxMxcTE6IcffpBpmjIMw1N1+bzU/8fencdFVe//A38dhn0TEAUBUWpFYTwAACAASURBVHHDVMAFuWqrKJmpZb8ybllcM6W+apo342paqX01u3bVskXqVujNumSCmkuouVuCCyLuihsiiAKyDwyc3x98OXGAGYZZYXg9Hw8fj/mc8znn/T5jIfOez3L7NtLT05GTk4OysjJ4eXmha9eu6N+/v8HeJ6VSiePHjyMrKwt5eXlwc3ODl5cXBg0aBGdnZ4PEAIDz588jIyMD2dnZsLKygre3NwIDA9G1a1eDxcjLy0Nqaiqys7NRXFyMjh07wtfXFwMHDoRCoTBYHCIiIiIiImod9CpYfPTRRzh79iwEQYAgCBBFEc7Ozhg4cCD8/f3h7OwMa2ujLZPRLNXV1bhy5QpOnz6NtLQ0nD59GhcuXEBlZaXUZ9myZXjmmWf0ipOcnIzPPvsMycnJqK6ubnDez88PkZGReOWVV3T+IJ6fn49Vq1Zh27ZtKCoqanDewcEBI0eOxJw5c/RaD+Snn35CXFwcLl261Oj54OBgTJ06FaNGjdI5xvnz57F69WocPHhQ9ndRy9PTE8888wymT58Oe3t7neMQERERERFR66JzNSE/Px+bNm2SChW2traIiYnBxIkTYWNjY8gc9bJz5058//33SE9PR2lpqVFjrVy5ErGxsY0WKmplZmZixYoV2LNnD1avXg0vL69mxUhJScGcOXNw584dtX3KysqwdetW7N+/H8uWLcPIkSObFaOwsBBvv/029u7dq7HfqVOnMGPGDEycOBHvvvtus//ev//+e3z44YeoqKhQ2+fu3buIjY3Fnj178Mknn6BHjx7NikFEREREREStk84Fi99//x1VVVUAahbK/OijjzB69GiDJWYox48fR3JystHjrFmzBl9++aXsmLu7O/r27QtHR0dkZGTg8uXL0rmTJ08iOjoaGzZsgKOjo1YxLl26hOjoaJSUlEjHFAoFgoKC4O3tjbt37+LUqVNSAaCwsBCzZ8/GN998gyFDhmgVo6qqCrNnz8bhw4dlx/39/dGrVy+oVCqcPXtWVjCJj48HACxZskSrGACQmJiIxYsXy445Ozujf//+aNeuHW7evIkzZ85I565cuYJXX30VGzduhKenp9ZxiIiI2rr8/HzcVamwqSDP3KmQAdxVqWCVn2/uNIiITELngkV2djaAmmKFv79/iyxWaOLi4gJHR0fk5OTofa8DBw5gzZo1UlsQBMyePRuTJ0+GnZ2ddDw5ORlvvfWWFPPcuXN4//338dFHHzUZo7y8HK+//rqsWDFkyBAsXboUnTt3lo7l5uZiyZIl+PXXXwEAlZWVmDlzJrZv34727ds3GWfVqlWyYoWLiws+/PBDhIeHS2tvqFQqbNq0CYsXL5amccTHxyM4OBjPPvtskzHOnz+PhQsXyo699NJLmDVrFlxcXGT93nrrLWlKyu3btzFr1ix8//33TcYgIiIiIiKi1k3ngkXt6AoA6NOnj0GSMRZ7e3v06dMH/fr1Q//+/dG/f39069YNa9askRUadCGKIlasWCHbGWXevHmIiopq0HfIkCH4/vvvMWHCBGntiS1btmDy5MlNvocbNmzAzZs3pXZISAi+/vprWUEEADp06IBVq1bhjTfewK5duwAABQUFiI2Nxbx58zTGyMnJQVxcnNS2sbHBN998g6CgIFk/a2trTJw4Ee7u7pgxY4Z0fPXq1Rg3blyDnOpbtWqVbBpIVFQU5s+f36BfYGAg/vOf/+CZZ57BrVu3AADHjh3Dnj17EB4erjEGERER1XB3d0d1dg6ecfMwdypkAJsK8uDu7m7uNIiITMJK1ws7duwovW7J25i+/vrrOH78OH788UcsWLAATz31FAICAgy2U0dSUhIuXLggtUNCQvDyyy+r7d+5c2e8+eabUlsUxSaLJkqlEl999ZXUtrKywpIlS9QWBqysrPDee+/Jdgr54YcfkJubqzFObGwslEql1I6KimpQrKhr1KhRspE1d+7cwY8//qgxRnp6umxtDF9fX8yZM0dtfzc3N7z33nuyY59++qnGGERERERERNT66VywGDBggPS67jf/LY2Hh4dRdyr55ZdfZO2oqKgmiyHPPvssXF1dpfb+/fsb3e2j1uHDh5GX9+e80+HDh6NXr14aY3To0AFPPvmk1FYqlUhKSlLbv7q6Gtu3b5faCoVCY+Gl1uTJk2XtrVu3auxf//2KjIxscvePRx55BN26dZPa586dk60HQkRERERERJZH54KFv78/QkJCIIoizp8/j8zMTEPm1SpUVFTg0KFDUtvR0VGrHTns7OxkW4FWVlbiwIEDavvX361j/PjxWuVXv99vv/2mtm9qaqqsKBIWFqbVDiYhISHw9/eX2unp6Rp3MNH1WcaNGydra3oWIiIiIiIiav10LlgAwNtvvw2FQgFRFLF06VJD5dRqpKamyrZK7d+/P2xtbbW6dvDgwbJ2/V05NJ2rf606QUFBsnySk5OlRTLrO3LkiKw9aNAgrWLU7yuKYoN71bp16xauXbsmtf38/ODt7a1VjOa8X0RERERERNT66VWwGDhwIObNmwdRFLF3717MmzcP5eXlhsqtxavdvaKWpvUe6gsODpa11U1xKCsrQ1ZWltT29PSEj4+PVjFsbW1li3lWVFTgxo0bjfY1xbPUP96cGEFBQbKpNpwSQkREREREZNn0KlgAwKRJk/Dhhx/C3t4eiYmJGD16NL788kukpaVpXJfBEly9elXWrru9aFP8/Pw03qvu8bqLmjYnRnPj1GWsZ9E1hoODAzw9PaX23bt3Lf6/LyIiIiIiorbMIKtRPv300+jZsycmT56M7OxsrF69GqtXr9bpXoIg4OzZs4ZIy+jqLzaq7fQGoGYdC3d3d+Tn5wMACgsLkZ+f32CbqvojIpoTA0CDdSjUjbDQ51nq91UXwxDPUnenk+vXr6Nfv37NugcRERERERG1DnqPsBBFEZ999hkmTZqEoqIiCIIAURT1+tNa1P+G38Ojefub1+9fXFxs9BiNjUqoqqqSrcXh6OgIBwcHg8Zo7LgxnoWIiIiIiIgsg14jLKqqqjB9+nTs378foihKawzUFi0sXd0P+UDNqInmqL+dZ0lJidFj1L9fY8e0XThUXU6NxWjsuDGehYiIiIiIiCyDXgWLNWvWYN++fQD+LFJYWVkhICAAnTt3hrOzM6ytDTLrpEUqKyuTtZv7Abx+YaD+/Ro7pm8xobEY+hYStC1YmOL9IiIiIiIiIsugczWhuLgY3333nVSoEAQBU6ZMQVRUFDp06GDIHFuNurtY6NJfm1EprSGGsa7T5VnqKykpwfHjx5t9HRERUWvFKZSWp6ioiL/PUKvBn0GWR9efQYMGDWr2NToXLP744w+UlZVBEAQIgoB33nkHL774oq63a5Xqr/PQ3C1dlUqlrO3o6NhkjPrXNKV+To3FqH+suc+hTQzANO9XU5ycnNC7d+9mX0dERNRaxcfH4565kyCDcnFx0ekXfyJziI+PR0HubXOnYTRV1dU4c/EaMm5mAwLQvXMn9O3ZBVZWei8X2WKZ8meQzgWL69evA6j5ltvLy6vNFSsA/YsJ9fs7OTk16FP/Q7m+MbQpWFRUVDQrRv3+2hYsjPEsREREREREpnDj9h3EJexCQeGfaxEePJYOd1dnRD0zCp292+bMA0PSuexTd4HNoKAggyXUmri4uMjatVuUaisvL0/WdnZ2btCn/jF9Y9TPGQAUCoWsmFBaWtqs0Q/axGjsuDGehYiIiIiIyNjuFRQi9sftsmJFrfzCYsT+uB359xvuAknNo3PBwtvbW3rd3IUgLYW/v7+snZ2drfW1SqVS9gHcxcUF7u7uTca4fbt5w6nq51T/frU6d+6s8TpN6udU/17qYjcnRmP91T0LERERERGRMR1MSUeZUv3I9NJyJQ4eTzdhRpZJ54JFr169pNe3bt0ySDKtTbdu3WTtmzdvan1tZmamrB0QEKA2Rt3FJutf19w49XNWF98Yz6JPjLKyMty9e1dqe3p6wtXVVevriYiIiIiIDOXE2ctN9jmpRR/STOeCRY8ePdCvXz+Iooj09PQGw/Xbgp49e8rap06d0vratLQ0Wbt79+6N9nN0dISPj4/Uzs3NRVZWllYxKioqcO7cOaltY2OjdlSCIZ+lR48ejfarf7w5MU6fPi3bFUTd+0VERERERGRspeVNr8dXUta8TQaoIb2WLp02bRoAoKqqCitWrDBIQq1JSEiIbOHH06dPa71g5bFjx2TtBx98UG3fYcOGabxWnbS0NFk+YWFhsLGxabTv0KFDZe3mbFNTNx9BEBrkW8vX1xddu3aV2pmZmcjJyWl2DEDz+0VERERERGRM7q4N1x9s2Idr7ulLr4JFREQEJk+eDFEUkZCQgJUrV8q+Bbd0tra2sg/OpaWl2L17d5PXKZVKJCUlSW0bGxs8/PDDavuPGDFC1t6yZYtW+dXvV/8+dQ0YMAAeHh5S++jRo1oVE1JTU3Hjxg2p3a9fP3Ts2FFt/8cee0zW3rx5c5MxAGDr1q2ytqZnISIiIiIiMqYhQb2b7BMW3HQf0kzvzWFjYmIwd+5cKBQKxMbG4v/9v/+HzZs3y9YbsGRjx46VtePi4pos2mzcuBGFhYVS+5FHHtG448WwYcNkxYTDhw/j4sWLGmPk5uZi27ZtUtvOzg4RERFq+1tZWWHMmDFSu6qqCuvWrdMYAwC+/fZbWXvcuHEa+9d/v3788ccmdyTZv38/MjIypHZgYKDaaSdERERERETGNnxQX3TwaKf2vFd7NwwNecCEGVkma30uDg8Pl17b2NhApVLh7Nmz+Mc//gGgZktOFxcX2aKRTREEQatRCi1FREQEevfujQsXLgCoGXGwbt06REVFNdo/MzMTK1eulNqCIGDGjBkaY9jb22Pq1KlYvnw5AKC6uhoLFy7E+vXrG92hpbq6GosWLUJx8Z/b6ERGRqJDB837AE+bNg0//fQTlMqa+VhxcXEYPXo0+vfv32j/3bt3Y+fOnVK7Q4cOeP755zXG6NevHx577DHs3bsXQM2Crf/6178wf/78Rvvfv38fixcvlh2bOXOmxhhERERERETG5Ghvh/95YRx+2nEA5zJuSl9aC4KAB7r747knHoaDfdvcTdOQ9CpY3Lp1S1aMqH1d+5dVVFSEoqKiZt2zOcUNbanbWaPuKAcAyM/Pb7SvnZ2d2g/7giDgrbfewrRp06TnXrZsGcrKyjB58mTY2dlJfVNSUvDWW2/J3pNx48ahT58+TT7DCy+8gA0bNkg7a6SmpmLKlClYunSpbBvR3NxcfPDBB9i1a5d0zM3NDdHR0U3G8PLyQlRUFGJjYwEAlZWVeOWVV7Bs2TKMHDlS6qdSqbBp06YGhYRZs2bB3t6+yTizZ8/G4cOHpfU14uLiUF1djdmzZ8PZ+c+5YOfPn8fcuXNlfyeDBw+W5UJERERERGQOrs6OmPLcaNwrKMTVm9mAAAT4dYKHG9euMBRB1GPRicDAQAiCYNB1KwRBkO1sYQi9e+s3d2jIkCFYv369xj5r1qzBp59+Kjvm4eGBfv36wcHBARkZGbh06ZLsfJ8+fbBhwwbZwp2aXLx4EZGRkSgpKZGOKRQKBAcHw9vbG3fv3kVqaqpsoU0bGxv8+9//RlhYmFYxVCoVpk6diiNHjsiOd+nSBb169ZJG0dRf3+K5557DBx98oFUMAEhISJBG4tRydnZGUFAQ2rVrhxs3buDMmTOy897e3ti4cWOTI0XUqR0Fo+9/D0RERK1JTEwM7p07j2fcPJruTC3epoI8tO8TKI28JWrpYmJicDPjIgb3UL/OHbUexy7fQeeAXib7GaTXCIvQ0FBD5dHqTZ8+HZWVlYiNjUV1dTUAIC8vDwcOHGi0/4ABA7B69WqtixUA0KtXL6xduxZz5szBnTt3ANSsNXHixIlG+7u6umLp0qVaFysAwNraGqtXr8bcuXOxb98+6fj169dx/fr1Rq957rnn8N5772kdAwAmTJiAkpISLF++XCqwFBcXNyiU1OrevTs++eQTnYsVRETUcmVnZ2Pr1q0oKSlBYGAgIiIiYGWl9zJbRERE1MrpVbBoatRBWyIIAt58800MHz4ca9asQXJycqMjT3x9fREZGYkpU6ZAoVA0O05oaCi2bNmCVatWYdu2bY1OubG3t8fIkSPx97//HT4+Ps2O4erqirVr1yI+Ph5xcXG4fPlyo/2CgoIwbdo0jBo1qtkxAGDSpEkYPHgwVq1ahYMHD0KlUjXo4+npiWeeeQb/8z//AwcHB53iEBFRy6RUKjFjxgzExcWhsrJSOh4QEIAvvvhC42LRREREZPn0mhJC6mVlZSE9PR05OTkoLy9Hx44d0aVLFwQHBxtsnQ6lUoljx44hKysLeXl5aNeuHTp16oRBgwbJ1oLQ17lz53DlyhXk5ORAoVDAy8sLgYGB6Natm8Fi3Lt3D6mpqcjOzkZJSQk8PT3h5+eHgQMHwtpar7qahFNCiIhalqefflrt9tY2NjbYvXu3xm2/STucEmJZOCWEWhtOCbEsrWpKCKnn4+Oj0+iG5rCzs8Pw4cONGgOoWWtDm4VB9dG+fXvZrjNERGTZDh06pLZYAdQs/PzOO+/g4MGDJsyKiIiIWhJOECUiIiKT++6775rsc+jQIbXTEomIiMjycYQFERERyezZswdJSUlGjXHr1i0MGTJEatduA65UKmX9/vnPf8LNzc1oeURERHCEHxERUQvFERZERERkcra2trK2nZ2dVLTQ1I+IiIjaDo6wICIiIpnw8HCjjzrYvXu3bJep2tEWycnJ0rHBgwfj008/NWoeRERE1HKpLVjMmDFDer148WJ4eJh+Zem8vDy8++67AGq2DeUvLURERJYhPDwcjz76KPbt29foeSsrKyxatMi0SREREVGLorZgsXv3bmn7zfnz55ssobrKyspkeRAREZFlEAQBmzdvRlRUFBITE2Xn2rdvj88++wxjxowxU3ZERETUEmhcw0IURVPloVFLyYOIiIgMx9XVFQkJCTh37hy6deuGLl26YP369cjMzMTzzz9v7vSIiIjIzLiGBREREZlVYGAgunTpAgCYNGmSmbMhIiKilkKrXUI4JYOIiIiIiIiITEnjCAtBECCKIkaMGGGqfNTmQERERERERERtR5NTQsxdMODoDiIiIiIiIqK2R2PBoiWMbGgJORARERFRy5VTXISM/HzYWFmhb0cvONjYmDslIiIyALUFiwkTJpgyDyIiIiKiZskuKsIXKUdxIusWqv/vSy5HGxs83rMX/jZgEKyttFqujYiMrLisAscu3zF3GkZVUVkFALC1UZg5E+MqLqswaTy1BYtly5aZMg8iIiIiIq3llpRg7q/bkVdWJjteWlmJhLNncLuwEAseHcHpxURmFhAQYO4UTCIjIwMA0LkNPK8p/065rSkRERERtTob0lIbFCvq+iPzJo5n3cJgXz8TZkVE9UVHR5s7BZOIiYkBACxfvtzMmVgWjpMjIiIiolalvLIS+69ebbLfzksXTZANEREZCwsWRERERNSq5JWVQVmlarLf7aIiE2RDRETGwoIFEREREbUqjlruAuJky91CiIhaMxYsiIiIiKhVcXNwQH8v7yb7PdSlmwmyISIiY2HBgoiIiIhanef7BcFKww4gHRydEB7Q3YQZERGRobFgQUREREStzgAfH7w57EHYKhQNzvm4uOCDkRFwtLU1Q2ZERGQo3NaUiIiIiFqlEQHdEerrh91XLuNK3j1YWykwxM8PYX6dobDi93JERK0dCxZERERE1Gq52NlhwgN9zZ0GEREZAUvPRERERERERNTisGBBRERERERERC0OCxZERERERERE1OKwYEFERERERERELQ4X3SQiImrB1q5di4yMDHOnYXS1zxgTE2PmTIwvICAA0dHR5k6DiIioxWPBgoiIqAXLyMhA+vkzsHazM3cqRlVtpQIAnM++bOZMjEtVoDR3CkRERK2GXgWLlJQU6XVwcDBsbW11uk9FRQVOnToltUNDQ/VJi4iIyKJYu9nB/VE/c6dBBpC/L9PcKRAREbUaehUsXnrpJQiCAADYs2cPfHx8dLpPbm6udC9BEHD27Fl90iIiIiIiIiKiVk7vKSGiKEpFC0Pci4iIiNqW8sJSZKZdQ6WyEm6dPODdx89gv1sQERFR66V3wYK/UBAREZEuqlRVSN5wAJcPnUG1qlo67urlhr+8/Bg69elsxuyIiIjI3PTe1tQQoyLq3oMFECIiorbh4NqduLjvtKxYAQCFOQXYvXIL7lzKMlNmRERE1BLoXbAwhOLiYum1g4ODGTMhIiIiU7hz+TauH7+i9ny1qgonfj5iwoyIiIiopWkRBYv09HQANaMr3N3dzZwNERERGdvlQ00vsJ1zMQuFdwpMkA0RERG1RAYrWOgylUMURRw7dgyff/65dKxnz56GSomIiIhaqNK84qY7ASjN164fERERWZ4mF90MDw/X6kZ//etfoVAotA5cWVmJ/Px8qFQq2fGHH35Y63sQERFR62Tnot0UUHtnThU1hLtVKmwqyDN3GkZVWl2zFoqjVYsYQGw0d6tUaG/uJIiITKTJgsWtW7cgCILGxTVFUUR2drbOSdSOzujUqRPGjx+v832IiIiodQgY2hsZv5/X2Kd9l45w8+VHM30FBASYOwWTuJ+RAQBob+HP2x5t5+/UVK5du4YffvgB9+7dg7+/P1588UW0b8+fPUQtgd7bmhqCKIro0aMHVq5cCScnJ3OnQ0REREbm09cfXr18kHOx8Z1ABEFA8FNhJs7KMkVHR5s7BZOIiYkBACxfvtzMmVBrUVFRgddffx3fffcdqqv/3K0oJiYG77zzDhYsWGDG7IgI0KJgERoaqvZcSkoKgJpfKoKCgmBra6tVUEEQYGtrCxcXF3Tr1g2hoaEYOnSolikTERFRaycIAka8MQ4HY39FZto12TlbRzuEvfgIOod0M09yRNQmvPbaa/j2228bHC8vL8fChQvh4OCAv//972bIjIhqNVmwWL9+vdpzgYGB0nSOlStXwsfHx3CZERERkUWzdbRD+OzxyL91DzeOX4ZKqUK7Tu7oGtoT1nY25k6PiCxYRkYGvvvuO419li5diunTp8Pe3t40SRFRA3pPCRFFUacdQoiIiIgAwN23Pdy5VgUR1bFnzx4kJSUZ7f7Xr1+XjSS3s7MDACiVSlm/6dOnw9PT02h5REREaL3JAVFbpFfBYtmyZdJrd3d3vZMhIiIiIiIytsrKSllbXcGioqLCZDkRUUN6FSwmTJhgqDyIiIiIiIgAAOHh4UYdebBixQrMnTtXag8ZMgQAkJycLOv3/vvv44knnjBaHkSkmWVvVE1ERERERFTPpEmTYGOjea0cPz8/REREmCgjImoMCxZERERERNSmeHt74+2339bYZ/ny5VAoFCbKiIgao/eim+qUlpaiuLgYKpWq2ddytxEiIiIiIjKmDz74AI6Ojvjoo49kx319fbF8+XK88MILZsqMiGoZrGBx5coVJCQkICUlBRcuXGiwYI22BEHA2bNnDZUWERERERFRo+bPn49Zs2ZhxowZqKysxMKFCzF69GhYWxvte10iaga9/08sLS3FsmXLsHHjRumYKIr63paIiIiIiMjonJyc0LFjRwDA2LFjzZwNEdWlV8FCqVRi2rRpOH78uFSkEATBIIkRERERERERUdulV8Hiyy+/xLFjxyAIAgRBgCiKsLW1xcCBAxEQEABnZ+cmV98lIiIiIiIiIqpP54JFRUUFvvvuO6lQIQgCoqOjMXXqVDg7OxsyRyIiIiIiIiJqY3QuWBw7dgxlZWXS6Io5c+Zg6tSphsyNiIiIiIiIiNooK10vvH79OoCaBTbd3d0xZcoUgyVFRERERERERG2bzgWLoqIiADWLbAYHB8PKSudbERERERERERHJ6Fxl8PDwkF47OTkZJBkiIiIiIiIiIkCPgoWvr6/0Oj8/3yDJEBEREREREREBehQsQkND4eHhAVEUkZaWhurqakPmRURERERERERtmM4FC2tra0ycOBEAUFxcjM2bNxssKSIiIiIiIiJq2/RaKXP69Ono27cvRFHE8uXLce3aNQOlRURERERERERtmV4FCxsbG3z++ecIDAxEQUEBIiMjsWPHDkPlRkRERERERERtlLU+FycmJgIAnnvuOXz66acoKCjAnDlz8PHHH2PYsGHo3r07XFxcmr3l6dNPP61PWkRERERERETUyulVsPjHP/4BQRCktiAIEEURmZmZ+Omnn3S+LwsWRERERERERG2bXgWLWqIoSoWLugWM2nPaqC121L+eiIiIiIiIiNoevQsWtQUJbQsTTd2HiIiIiIiIiEivgsW6desMlQcRERERERERkUSvgsWQIUMMlQcRERERERERkUSvbU2JiIiIiIiIiIyBBQsiIiIiIiIianFYsCAiIiIiIiKiFocFCyIiIiIiIiJqcViwICIiIiIiIqIWR69dQtasWWOoPGRmzJhhlPsSEREREVHzrF27FhkZGeZOw6hqny8mJsbMmRhfQEAAoqOjzZ0GkVb0LlgIgmCoXCQsWBARERERtQwZGRk4e/YCnBw8zJ2K0VSpaj4WXb+aa+ZMjKukLM/cKRA1i14FC32IoihrC4IAURSNUgAhIiIiIiLdOTl4IKjnGHOnQXpKu7Td3CkQNYveBYv6hYfmqC1OiKKo132IiIiIiIiIyLLoVbDYs2dPs/pXV1ejqKgIly9fxqFDh7Bjxw5UVlaiXbt2WLRoEfr3769POkRERERERERkIfQqWPj6+up03QMPPIDx48dj5syZePPNN5Geno558+bh888/x9ChQ/VJiYiIiIiIiMgk7ty5g6+++gppaWkAgGXLluHVV19Fhw4dzJyZZTDrtqadO3fGd999h549e6KsrAwzZ85EZmamOVMiIiIiIqI25F5+Nn47tBHbdn2LQ0e3orjkvrlTolZi06ZN+i/mUAAAIABJREFU6NKlCxYsWIC8vDzk5eVh/vz56NKlCzZv3mzu9CyCWQsWAODs7Iz58+cDAEpKSrBq1SozZ0RERERERJZOVVWJjVvXYOUXb2DPgf/iSMp27NizDh+teQ17DsSbOz1q4VJTUxEZGYny8vIG58rKyvD888/j9OnTZsjMspi9YAEAQ4cOhbe3N0RRRFJSEu7fZ1WTiIiIiIiMJ3H7Wpw8vR8i5Iv/V1Wp8Nuhn3DwD35DTuqtXLkSlZWVas8rlUqsXr3ahBlZJrNta1pfnz59kJ2djcrKShw/fhwjRowwd0pEbYZSqURKSgpUKhX69++P9u3bmzslIiIiIqO5l3cbqacPaOyz//dE/GXQaNjY2JkoKzKUPXv2ICkpyagxLl++jCFDhkhtV1dXAJAdO3/+PGJiYoyaR0REBMLDw40aw5xaxAgLAHBycpJe375924yZELUdKpUKCxcuhK+vLx566CE89thj8PPzQ1RUFHJzc82dHhEREZFRnDpzqMHIivrKyopx8UqqiTKi1qaqqkrWViqVUCqVGvtQ87WYERb37t2TXpeUlJgxE6K2obq6GhMnTkRCQoLseHl5OdatW4ejR4/iyJEj8PDwMFOGRERERMZRWlakVb+SskIjZ0LGEB4ebvRRB0FBQU2uUTFgwAAsX77cqHlYuhYxwqKwsBAnT56U2u7u7mbMhqht2LJlS4NiRV0XLlzgD1giIiKySG7ttNty0s3V08iZUGsVHR3dZJ/XXnvNBJlYthZRsFi8eLFsddUHHnjAjNkQtQ2xsbFN9vnmm2+gUqlMkA0RERGR6YT0fQgKhebB5u1c26NHtyATZUStzauvvopHHnlE7fkRI0bgb3/7m+kSslBmmxJSXV2No0eP4osvvkBKSgoEQYAoiujUqRP69u1rrrSIWgRTLBRUWloqWxTIzq5mQan6c+/mzp0LW1tbo+Vh6QsFERERUcvj7OyGh4c+jb2HNjZ6XoCA0SNegpWVwsSZUWthZ2eHHTt24N1338W///1v5OfnAwA8PDzw6quvYtGiRUb9Hbqt0Ktg8fLLLzf7mqqqKhQWFuLmzZvSByNRrFnwRhAEvPnmm/qkRERaUijk/wA3VrAQBKFBPyIyrfz8fKgKlMjfl2nuVMgAVAVK5NvlmzsNIgIw8uHnYWtjjwO/J6Cs/M819Nq5tsfoES8h6IHhZsyOWgMHBwf885//xOLFi3H69GkIgoD+/fvD3t7e3KlZDL0KFsnJyRAEodnX1RYoAMiu/9vf/oZx48bpkxKRRTDFQkGLFi3C+++/L7VrR1skJydLxx5//HGsWLHCqHkQERERmcvDQ5/C0MGjcfFKKkrKCuHm6oke3YI4soKaxcHBQTZymQzH7LuEiKIILy8vzJ07F2PHjjV3OkRtRnR0NFavXi0NX6vPysoKb7/9tomzIqL63N3dkaO8B/dH/cydChlA/r5MLi5O1MLY2Nihb2CYudMgokboVbDw8fFpfkBrazg7O8Pd3R2BgYEICwvDgw8+CCurFrH+J1Gb4e3tjR07dmDcuHHIzc2VnbOxscHatWsxYsQIM2VHRERERERtnV4Fi99++81QeRCRGYSFheHq1avYsGEDNm/eDFEUsWTJErz66qvw9vY2d3pERERERNSGmX1KCBGZl5OTE6ZOnYrLly8DABYsWGDmjIiIiIiIiADOwyAiIiIiIiKiFocFCyIiIiIiIiJqcViwICIiIqJW7ffff8etW7dw+/ZtZGZmmjsdIiIyEKOtYXHlyhWcOXMGeXl5KCwsBAC4urrCw8MDffv2Rffu3Y0VmoiIiIjagBMnTmDKlClITU3FkCFDAABdu3bFxIkTsXbtWri4uJg5QyIi0odBCxZXr17F999/j61bt0pFCnVcXV0xbtw4vPDCCwgICDBkGkRERERk4c6dO4cRI0bg/v37suNVVVX44YcfcPPmTezduxfW1lxjnoiotTLIT/Cqqip88skn+Prrr1FdXQ1RFKVzgiDI+taeu3//Pr7//nv88MMPmDJlCt544w3+g0It0tq1a5GRkWHuNIymoKAAJ0+ehJ2dHURRRL9+/TBgwAD4+PiYOzWjCQgIQHR0tLnTICIiPSxevLhBsaKuQ4cOITExEc8++6wJsyIiIkPSu0JQUVGBadOm4ejRo1IxQhAE6XXd4kVdtYWMqqoqfPXVV0hNTcXXX38NW1tbfVMiMqiMjAycPnMeCnt3c6dicLdvXcfJ5AOorq6WChRZWVk4c+YMegYGoXffAWbO0PCqyvPNnQIREempsLAQmzZtarLft99+y4IFEVErpnfB4u2338Yff/wB4M9ChUKhwPDhwxEcHIxu3brBxcUFoiiiuLgY165dw6lTp3Do0CGoVCrpmpSUFMydOxerV6/W+6GIDE1h7w6XgFHmTsOgivKzcTJxA6qrqwHUFCrqunQ+DR17Pgz/wL+YIz2jKcrYZe4UiIgs3p49e5CUlGS0+5eVlSEkJER2zNXVFQCktSwAoLy8HDExMUbLAwAiIiIQHh5u1BhERG2VXgWLgwcPYufOndJoCSsrK/z1r3/F9OnT4e6u+dvogoICfPbZZ9iwYYM0jSQpKQn79+/HI488ok9aRKSFSyd3o7qqUmOf88d2WlzBgoiIWj9ra2vZiF4AUCqVDfrZ2NiYMi0iIjIwvQoWn332GYCaaR+2trZYuXKl1hVmNzc3vPPOOxg6dChmz56NyspKiKKIL774ggULIhO4fTWtyT73bl9GRXkJbO2dTJARERFZivDwcKOPOhg7diy2bdumsc8333yDyZMnGzUPIiIyHitdL8zLy8OpU6cgCAIEQcAbb7yh0z9MI0aMwBtvvCFVyNPS0nDv3j1d0yIiLVVXq7TrV6VdPyIiIlNauHAh7Ozs1J7v27cvIiMjTZgREREZms4Fi+PHj0MURYiiCCcnJ7z88ss6J/Hyyy/DyanmG1xRFHHixAmd70VE2vHw6tZkHydXT9g5cg97IiJqecLCwrB582Z4eXk1ODd8+HDs2rULDg4OZsiMiIgMRecpIbm5uQBqFtoMDg7Wa3cPW1tbhISE4PDhw7J7E5Hx9BwwEjcuHNXYp3vwCAiCznVNIiIio3r88cdx48YNbNq0CampqbC1tcWTTz6JsLAwc6dGREQGoHPBoqioSHrd1AKb2nBzc5NeFxcX630/ItKsY+c+6D1oNC4c36nmfCACBz9h4qyIiIiax9bWFpGRkZz+QURkgXQuWNRuHQUA+fn5eidSUFAgvXZx4RB0IlMYOGIS3Dt2wfnjO1Fw5zoAwNHFA92DR6BP6BgorLm6OhERERERmYfOBYsOHToAqFlz4uTJk1AqlRoXPtJEqVTi5MmTDe5NRMbXrd9D6NbvIZSV3IdYXQV7JzdYWXEaCBERERERmZfOn0oGDhwIKysrCIKAsrIyxMXF6ZzEunXrUFpaCqBmTYyBAwfqfC8i0o2DUzs4uniwWEFERERERC2Czp9MPDw8EBwcDKBmlMWaNWuwe/fuZt9n3759+PTTT6XtUUNCQuDh4aFrWkRERERERERkAfT6KnXmzJkQRRGCIKCiogKzZs3C4sWLcffu3SavzcvLw9KlSzFjxgxUVlZCFEUAwPTp0/VJiYiIiIiIiIgsgM5rWADAsGHDMHbsWPzyyy8QBAFVVVX44YcfEB8fj9DQUAQFBaFr165wdnaGIAgoKirC9evXkZaWhuTkZFRVVUkFD0EQMGbMGAwfPtxQz0ZERERERERErZReBQsAWLZsGfLz83H48GEIggAAUKlU+OOPP/DHH3+ova5uoUIURQwfPhwffvihvum0Kbdv30Z6ejpycnJQVlYGLy8vdO3aFf3795f+LvSlVCpx/PhxZGVlIS8vD25ubvDy8sKgQYPg7OxskBgAcP78eWRkZCA7OxtWVlbw9vZGYGAgunbtarAYRERERERE1HroXbCwsbFBbGwsvvjiC3z55ZdQqVSyD8u1Uz1q1Z6rLVQoFApER0dj+vTpUCgU+qZjFv/4xz+QkJCg07U9e/bEL7/80qxrkpOT8dlnnyE5ORnV1dUNzvv5+SEyMhKvvPKKzu9pfn4+Vq1ahW3btqGoqKjBeQcHB4wcORJz5syBj4+PTjEA4KeffkJcXBwuXbrU6Png4GBMnToVo0aN0jkGERERERERtT4G2Q5AoVBgxowZ2LlzJyZPngxPT0+IotigWAFAOu7p6YnJkydj586deOONN1ptscLUVq5ciaioKPzxxx+NFisAIDMzEytWrMCLL76InJycZsdISUnB+PHj8eOPPzZarACAsrIybN26FU899ZROi60WFhbitddew4IFC9QWKwDg1KlTmDFjBhYuXIjKyspmxyEi08jNzUVKSgouXLhg7lSIiIiIyELoPcKiLj8/P8TExCAmJga3bt3CmTNnkJeXh8LCQgCAq6srPDw80LdvX/j6+hoydJuwZs0afPnll7Jj7u7u6Nu3LxwdHZGRkYHLly9L506ePIno6Ghs2LABjo6OWsW4dOkSoqOjUVJSIh1TKBQICgqCt7c37t69i1OnTqGiogJATeFh9uzZ+OabbzBkyBCtYlRVVWH27Nk4fPiw7Li/vz969eoFlUqFs2fP4s6dO9K5+Ph4AMCSJUu0ikFEpnH58mXMnz8fiYmJUlExKCgI8+bNQ2RkpJmzIyIiIqLWzKAFi7p8fX3bbFFiz549Wve1sbHRqt+BAwewZs0aqS0IAmbPno3JkyfDzs5OOp6cnIy33npLGllx7tw5vP/++/joo4+ajFFeXo7XX39dVqwYMmQIli5dis6dO0vHcnNzsWTJEvz6668AgMrKSsycORPbt29H+/btm4yzatUqWbHCxcUFH374IcLDw2XroGzatAmLFy+WPgTFx8cjODgYzz77bJMxiMj4Ll68iOHDhzfYGSotLQ1//etfcfv2bbz55ptmyo6IiIiIWjuDTAkhOT8/P63/eHl5NXk/URSxYsUK2RSbefPm4bXXXpMVK4CaAsP3338PFxcX6diWLVtw7ty5JuNs2LABN2/elNohISH4+uuvZcUKAOjQoQNWrVolW1eioKAAsbGxTcbIyclBXFyc1LaxscE333yDkSNHytY+sba2xsSJE7Fy5UrZ9atXr4ZSqWwyDhEZ36xZszRuY/32228jKyvLhBkRERERkSVhwaIVSEpKks0LDwkJwcsvv6y2f+fOnWXfaoqiKBud0RilUomvvvpKaltZWWHJkiUNCiJ1z7/33nuynUJ++OEH5ObmaowTGxsrKzhERUUhKChIbf9Ro0Zh9OjRUvvOnTv48ccfNcYgIuO7du2aNMpKHZVKha+//tpEGRERERGRpTHalBAynPq7iERFRTW5bemzzz6LVatWSeuH7N+/H0VFRbKRF3UdPnwYeXl5Unv48OHo1auXxhgdOnTAk08+if/+978AaooeSUlJePHFFxvtX11dje3bt0tthUKhsfBSq3Zx1lpbt25FVFRUk9cRtWV79uxBUlKS0e5/7949hIaGyo7VFjjrFiWTk5MRExNjtDwAICIiAuHh4UaNQURERESmx4JFC1dRUYFDhw5JbUdHR4wcObLJ6+zs7DBq1Cj8/PPPAGrWmThw4ACefPLJRvvv3btX1h4/frxW+Y0fP14qWADAb7/9prZgkZqaKiuKhIWFaTUlJiQkBP7+/rhx4wYAID09HXfu3EHHjh21ypGIDK+xnZ0aK1hwBygiotYvPz8fJaX3kHZpe9OdqUUrKb2H/Hx+BKTWw2D/tYqiiEOHDiE5ORnnz59HXl4eiouLoVKpmnUfQRB02ibTUqWmpqK0tFRq9+/fH7a2tlpdO3jwYKlgAdSMolBXsKi/Y8fgwYO1ihEUFARbW1tp15Dk5GRUVlY2upjokSNHZO1BgwZpFaO2b23BQhRFHDlyBE8//bTW1xO1NeHh4UYddVBRUQE/Pz/ZNLDanYKSk5OlYwkJCfx/lYiIiIh0YpCCRWJiIv71r381WL+g7iKR2mpqqkNbc+nSJVlb03oP9QUHB8vadbc8rausrEy2MJ6npyd8fHy0imFra4s+ffrg1KlTAGo+xNy4cQPdu3dv0FffZ0lISJDa6p6FiEzD1tYWs2bNwoIFC9T2CQwMxLhx40yYFRERGYO7uzsKC1QI6jnG3KmQntIubYe7u7u50yDSml4FC1EUsXDhQvz8889ScaK24KBLscJSfPDBBzhx4gSysrJQXFwMZ2dneHh4oF+/fggLC8Po0aPh5OSk1b2uXr0qa9ffsUMTPz8/jfeqe7zu31dzYtTGqS1Y1N6vsYKFKZ6FiExn3rx5uHbtWqMLa/bo0QPbt2/nlBAiIiIi0pleBYvvvvsOGzduBFBTqBBFEaIowsHBAZ07d4azs3Ob/GV1/fr1snZ+fj7y8/Nx5coVbN68GR999BGmTJmCV199FVZWmjdqqbvNKAB4e3trnYednR3c3d2Rn58PACgsLER+fn6DqmrtVAtdYgBosA5F/fvV0udZ6vdVF4OITMfKygpfffUVpk2bhrVr1+LmzZtQKBRYt24dJk6cqHaXISIiIiIibehcsKioqMCaNWtkhYqIiAhMmTKlwVQEkisoKMDHH3+M33//HatWrUK7du3U9i0qKpK1PTw8mhXLw8NDKlgAQHFxcYOChSFiaLofAFRVVcnW4nB0dISDg4NBYxCReYSGhiI0NFTaDeSll14yc0ZEREREZAl0Llj8/vvvKCkpgSAIEAQBU6dOxZw5cwyZW6vTo0cPPProo+jbty+6dOkCZ2dnaX2Io0ePIiEhAffv35f6HzlyBDNnzsQ333wDa+vG/yrqfsgH0OxvLO3t7WXtkpISo8eof7/Gjmm7cKi6nBqLQURERERERJZD54JF3R0bPDw8MGvWLIMl1do89NBDmDRpEvr169fo+cDAQIwYMQIzZ87EkiVLkJiYKJ07evQoPv/8c7zxxhuNXltWViZrN7eYUL8wUP9+jR3Tt5jQWAx9iyKGKliUlJTg+PHjzbqGozksT1FRUbP/O6Cm1f6/wvfWsPgzyPLwZxC1Nvw5ZFn4M4jMpTm7RNbSuWBR+4FREASEhIS0ybUqaqnbKrQ+Z2dnLF++HHZ2dvjvf/8rHf/222/x0ksvabVib3N3UanfX5vFUFtDDF05OTmhd+/ezbomPj4euMMRHZbExcVFpx+YpFl8fDwA3f4xIvXi4+OBkhxzp0EGxJ9B1NrEx8cj7265udMgA+HPIGpNNK/4qIGbm5v0ujlrERCwYMEC+Pr6Su3S0lJs37690b7139vy8ub9Y6FUKmVtR0fHJmPUv6Yp9XNqLEb9Y819Dm1iEBERERERkeXQuWDxwAMPSK/v3LljkGTaCltbW0yaNEl27MiRI4321beYUL9/Y9up1v/wr28MbQoWFRUVzYpRvz8LFkRERERERJZN54JF//794evrC1EUcerUKRQXFxsyL4s3bNgwWfvSpUuN9nNxcZG16+74oY28vDxZ29nZuUGf+sf0jVE/ZwBQKBSy4ktpaWmzRlloE4OIiIiIiIgsh84FCwCYMWMGAKCyshKxsbEGSaitqDslBGj4gbyWv7+/rJ2dna11DKVSKbuvi4tLo+tk1I9x+/ZtrWM0llP9+9Xq3Lmzxus0qZ9T/XsRERERERGRZdGrYDFhwgSMHTsWoiji66+/xs8//2yovCxe/V0v1I026Natm6x98+ZNrWNkZmbK2gEBAWpj1F3Usv51zY1TP2d18Y3xLERE1PpUV1XjzqUs3Eq/juK7heZOh4iIiFoInXcJqVW768XPP/+MBQsWYP/+/YiKisLAgQMNtrODJao/7aLuIqZ19ezZU9Y+deqU1jHS0tJk7e7duzfaz9HRET4+Prh16xYAIDc3F1lZWfDx8WkyRkVFBc6dOye1bWxs1I6w6NmzJ3bu3Cm1T506hYceeqjJGEDDZ+nRo4dW1xERUct2Jukkzv56AqX5JTUHBMC3bxcMjnwIbj4e5k2OiIiIzErvgoVCocD//u//4sEHH8R7772HXbt2YdeuXXBwcIC/vz9cXFyaVbgQBAFxcXH6ptXinT59Wtbu2LFjo/1CQkLg6OgobSN7+vRpVFRUwNbWtskYx44dk7UffPBBtX2HDRuGn376SXbt+PHjm4yRlpYmWxAzLCwMNjY2jfYdOnQoPv30U6ndnP2f6z6LIAgN1gAhIqLWJ+XHAziblCo/KAK30q/j7rIcPDH/WbTrxKIFERFRW6V3wQIAUlJSEBcXh6KiIoiiCKBmUcXz5883q1ghimKbGZWxY8cOWTs0NLTRfra2tnjwwQeRlJQEoOZ93b17N8aMGaPx/kqlUroGqBn58PDDD6vtP2LECFnBYsuWLVoVLLZs2dLgPuoMGDAAHh4e0roaR48eRU5ODry8vDTGSE1NxY0bN6R2v3791BZ4iIiodci/da9hsaIOZUk5jv10GOFvjDNhVkRERNSS6LWGBQB89dVXiIqKkqYqCIIg+0MNpaWlYfv27bJjjz76qNr+Y8eOlbXj4uKkwpA6GzduRGHhn/OAH3nkEY07awwbNgweHn9+i3X48GFcvHhRY4zc3Fxs27ZNatvZ2SEiIkJtfysrK1mhpaqqCuvWrdMYAwC+/fZbWXvcOP7ySkTU2l3af6bJPrdOXUNJPnchIyIiaqv0Klhs374dH3/8MaqrqwHUjJCo/ePo6IiOHTuiU6dOWv/x8fFBp06dDPJgphIfH9+sLV0vX76M6dOnS+8ZUDPtY+jQoWqviYiIQO/evaV2amqqxg/6mZmZWLlypdQWBEHa0UUde3t7TJ06VWpXV1dj4cKFsukedVVXV2PRokWyZ4+MjESHDh00xpk2bZpswdG4uLgG02Pq2r17t2zdiw4dOuD555/XGIOIiFq+wuymt9AWRRFFd+6bIBsiIiJqiXSeElJVVYUPP/wQQM0HYlEUERISgpdffhl/+ctfZN/WW7Ivv/wSH3/8McaNG4cxY8YgKCgI1tYN39b79+/jxx9/xJdffimtRwHUTPl45513NMYQBAFvvfUWpk2bJo2sWLZsGcrKyjB58mRZASAlJQVvvfUWioqKpGPjxo1Dnz59mnyWF154ARs2bJB270hNTcWUKVOwdOlS2Taiubm5+OCDD7Br1y7pmJubG6Kjo5uM4eXlhaioKGkb3MrKSrzyyitYtmwZRo4cKfVTqVTYtGkTFi9eLLt+1qxZsLe3bzIOUUuydu1aZGRkmDsNo6t9xpiYGDNnYnwBAQFa/cwj9aztG1/vqD4bLfsRERGR5dG5YJGSkoI7d+5I0z4mTJiAZcuWGSyx1qSgoADr16/H+vXrYWdnh549e6JDhw5wdnZGeXk5srKycP78eVRVVcmuUygUWL58OYKCgpqM8fDDD2PGjBnSopWiKGLlypWIi4tDv3794ODggIyMDFy6dEl2XZ8+fbBo0SKtnsPe3h6ff/45IiMjUVJSs1p7cnIyHn/8cQQHB8Pb2xt3795FamqqbOSFjY0NPvnkE7Rv316rOLNmzUJ6ejqOHDkCACgsLMT06dPRpUsX9OrVCyqVCmfPnkVOTo7suueeew7PPfecVjGIWpKMjAxcOpsOb2fL/uDlUF3zM67oxgUzZ2Jc2cWV5k7BInQd3APXj13W2MelYzt4+GseuUdERESWS+eCRe36BqIowtnZGe+++67BkmrNlEol0tPTm+zXqVMnrFixAoMHD9b63tOnT0dlZSViY2OlKSV5eXk4cOBAo/0HDBiA1atXw9HRUesYvXr1wtq1azFnzhzcuXMHQM1omhMnTjTa39XVFUuXLkVYWJjWMaytrbF69WrMnTsX+/btk45fv34d169fb/Sa5557Du+9957WMQwpPz8fVeX5KMrY1XRnavGqyvORn9/0LjuG5u1sgykDPE0e1xSqqqvx+4VM3CguhJO9LR7p5Q83J8sdCfXvk3fNnYJF8B/YHe06ueP+bfVTQ/qPGcz1sIiIiNownQsW5eXlAGqmKwwYMAAODg4GS6o1ef3117F3716cOHEC+fma5+MKgoDevXsjMjISTz/9dLPfM0EQ8Oabb2L48OFYs2YNkpOTG11809fXF5GRkZgyZQoUCkWzYgA1O5Zs2bIFq1atwrZt22TTS2rZ29tj5MiR+Pvf/w4fH59mx3B1dcXatWsRHx+PuLg4XL7c+LdsQUFBmDZtGkaNGtXsGERkfPvPXsc/N/+O7IIS6dhyawUmDOmNN8eGwVqh99rOZKGsrBUYOedp7F65Gfez8mTnBEFA8FND0PPhvmbKjoiIiFoCnQsWdbeVbNeunUGSaY3qTlPIzs5GRkYGbt++jYKCAiiVStjZ2cHV1RVeXl4IDg42yHs1ZMgQrFu3DllZWUhPT0dOTg7Ky8vRsWNHdOnSBcHBwXp/I+Xu7o5FixZh/vz5OHbsGLKyspCXl4d27dqhU6dOGDRoEJydnfV+lokTJ2LixIk4d+4crly5gpycHCgUCnh5eSEwMBDdunXTO4a+3N3dcTuvAi4BLJpYgqKMXXB3dzd3Ghbh9wuZeHv9HlRVywunFaoq/PfIWRSWKbEk8lHzJEetgnN7F4xf/AIyU6/i+vHLUClVaNfJHb0e6QdnT1dzp0dERERmpnPBou4ijE2NLGgrvL294e3tbbJ4Pj4+Oo1uaA47OzsMHz7cqDGAmrU2tFkYlIhajk93pDQoVtS14+QVvPRwf/Ty0W59G2qbrKys4D+wO/wHdjd3KkRERNTC6DxWd+DAgejUqRNEUWywCCMREVm2C1n3cPF2XpP9th671GQfIiIiIqLG6FywEAQBL7zwAgCgtLQU//nPfwyWFBERtWy590ua7gTgTqF2/YiIiIiI6tNrNbTJkycjNDQUoihi1apVOHjwoKHyIiKiFszNWbtFgz207EdEREREVJ9eBQtra2usXbsWjz76KCoqKvDaa6+B/RQQAAAgAElEQVRh6dKlyMrKMlR+RETUAvXr3AFdOzS9iPCYAT1MkA0RERERWSKdF90EgHnz5gGo2UXB1dUVhYWFWL9+PdavX4+uXbsiICAALi4uzdqxQhAELF26VJ+0iIjIBF6LGIR5G35DI7srAwAe6tMZ/bt0bPwkNYuqQIn8fZnmTsOoqstVAAAre71+NWnxVAVKwHTrcxMREbVqev1WkJCQICtGCIIA8f9+c7169SquXbvWrPuJosiCBRFRKzEyqBtKlQ9h5bajKCr7c+FlQQBG9u+G95572IzZWY6AgABzp2ASGRkZAIAAbwt/Xu+283dKRESkL4N/jdGc0RRERNS6jQ/thYjgAOxKy8CNu4VwsrNBeP9u6Ozpau7ULEZ0dLS5UzCJmJgYAMDy5cvNnAkRERG1FHoXLER1Y4GJiKhNsLe1xrjBvcydBhERERFZGL0KFufPnzdUHkREREREREREEste2YqIiIiIiEiDjGvpSD1zEKVlRXBz9cSg4BHo5NXV3GkREViwICIiIiKiNqi8vAT/2fhPXL1xRnb892M7MDDoUUwY8xqsrBRmyo6IAMDK3AkQERERERGZ2n83r25QrKh1Im0fkvZtMHFGRFRfiylY5OTkIDY2FmPGjDF3KkREREREZMFu51zDxSsnNfY5evxXlJeXmCgjImqMWaeEKJVKJCUlITExEX/88Qeqq6vNmQ4REREREbUB6ed+b7JPRaUSF6+kIqjvcBNkRESNMUvBIiUlBQkJCfj1119RWloK4M/tUQVBMEdKRERERETURlRUlmvVT1lRZuRMiEgTkxUsbt68icTERCQmJiIrKwuAvEghCILUJiIiIiIiMpb2Hj5a9fP06GTkTIhIE6MWLIqLi7Fjxw4kJCTg5MmaOWKNFSlEUUTHjh0RERHBNSyIiIiIiMioQvo+iF9/W4+KSqXaPh3a+6Jbl74mzIqI6jN4wUIURRw8eBCbN2/Gnj17oFQqpeMAZEUKT09PRERE4IknnsDgwYM5HYSIiIiIiIzO3t4Jo8NfxpadXzV6XqGwxriIKSbOiojqM1jB4tKlS0hISMDWrVtx9+5dAOqnfEyYMAFPPfUUwsLCWKQgIiIiIiKTCxsYAQc7J/x26Cfk3rslHff37YXHH5uErv59zJgdEQF6Fizy8vLwyy+/IDExEefOnQOgfspH3cLEzJkz4eOj3bwxIiIiIiIiYwjqOxxBfYfj1u0rKC0rQjtXT3T09DN3WkT0f5pdsFCpVNi7dy8SEhJw4MABVFVVqS1SdOnSBePGjcP48eMRERFh8OSJiIiIiIj05dupu7lTIKJGaF2wSEtLQ2JiIrZv34779+8DaHxdCnd3d4wZMwbjx49HcHCwcbImIiIiIiIiIoumsWCRk5ODzZs3IzExEVevXgUgL1LUsrW1xYgRIzB+/Hg89NBDsLY22W6pRERERERERGSBNFYWHnvsMWnkRH2CICA0NBRPPfUUHn/8cTg7OxstSSIiIiIiMp+SsjykXdpu7jSMpqKyDABga+Ng5kyMq6QsD0AHc6dB/5+9+46K6uraAP5Qht6saBALiqLYiBE1KkZR7Bg1GhM19hJ7LLGb6BtjrIkldt8YI2pixIIVuxKjxo4FsIDBAkhHOsx8f/hxX+4MZQamwvNby7U8Z27ZyHXuzL7n7ENKKzJhIZVKhboUwLvRFa6urvD19YWvry8cHR21EiQREREREemGi4uLrkPQuGfPngEAatUp61/mq5SL3yeVHUrN3chb5aNDhw6YNWsW6tWrp+m4iIiIiIhID4wbN07XIWjc7NmzAQDLly/XcSRElJ9SCYu8ERaXLl3CpUuX4Obmhj59+qBnz56oUqWsZyGJiEonISEBb95mY8ftWF2HQmrw+m02chISdB0GERERUZlnXNSLrVu3FlYAySOTyfDo0SMsX74cH330EUaOHIlDhw4hLS1N48ESERERERERUflQ5AiLnTt3IioqCocOHcLhw4eFlULyRlzk5ubi77//xt9//43FixejY8eOwkohJiYmmo+eiMgAVKhQAaYpMRjlUVnXoZAa7LgdC9sKFXQdBhEREVGZV+QICwCoVq0axo8fjxMnTuD333/Hp59+Cjs7O4VRF+np6Thx4gS+/PJLtG/fHt999x3u3r2r0eCJiIiIiIiIqGxSqoZFnmbNmqFZs2aYP38+zp49i8OHDyMoKAg5OTmilUTi4+Ph5+cHPz8/1KxZE71799ZI8ERERERERERUNqmUsMhjZmaG7t27o3v37oiLi8ORI0dw6NAhhIaGAoAoefH8+XP8/PPPoloYubm5agqfiEorKfYlwm4H4nX4PcikUlSs5gJXD29Uq9VY16EREREREVE5VqKERX6VKlXCiBEjMGLECISEhMDf3x/Hjh1DXFwcgP8lL/L+LpPJ0KdPH3z00Ufo0aMHvLy8YGZmVtowiKgEIh5ewdUTWyCT/i+JmJYShxeP/0GDFt3wfqchOoyOiMqTnJwc5ObmIjs7GxKJRNfhEBERkR4otoaFKtzc3DBv3jxcunQJGzduhI+PD0xNTSGTyYTRFUZGRkhLS8OJEycwefJktGnTBjNnzsS5c+eQnZ2tznCIqAjJca9wTS5ZkV/ozZMIfxCk5aiIqLw5deoUvL29ERQUhL///hvVq1fHrFmzEB8fr+vQiIiISMfUmrDIY2Jigk6dOmHdunUICgrCwoUL0aRJEyFxkX/KSGpqKo4dO4aJEyfiww8/xJw5czQREhHJeXznDKSFJCvyhN06paVoiKg82rp1K7p3745z584JfXFxcVi1ahXatm2L2NhYHUZHREREuqaRhEV+9vb2GDx4MPbv349jx45h9OjRqFq1qmjEBfAueZGSkoLDhw9rOiQiAvA6IrjYbeKjwpGZ/lYL0RBRefPy5UtMnDhRtOpYfiEhIZg1a5aWoyIiIiJ9ovGERX5169bFzJkzceHCBezYsQM9e/aEubm5aNQFEWlHYVNBFLaTSTUcCRGVR1u3bkVOTk6R2/z+++9ISEjQUkRERESkb0pddLMkjIyM0LZtW7Rt2xZv377FiRMncPjwYdy8eVMX4RCVS5Wq18PbxJgit7GxrwpzS1stRURE+uLs2bMIDAzU6DmCg4Ph6ekptO3s7ABA1AcAc+fOhb29vcbi8PHxgbe3t8aOT0RERCWnk4RFfjY2NhgwYAAGDBiAyMhITgkh0hLX5p3x/NGVIrep19ybo5+ISCPk31syMzOV2o6IiIjKD50nLPJzdnbGpEmTdB0GUblQpUZ9uLfpgwd/F5wkrF6nKRq06KrlqIhIH3h7e2t81MHmzZvx5ZdfFrmNo6MjLl++zOXPiYiIyimt1rAgIv3StN0AtPOdgspO9YU+2wrV4NFxMLz6ToexiV7lNImoDBkyZAgqV65c5DYTJkxgsoKIiKgc47cRonLOuYEnnBt4IjsrAzJpLswsrHUdEhGVAzY2Njh69Ch69OiB+Ph4hdcHDhyI+fPn6yAyIiIi0hdMWBARAEBiZqHrEIionGnVqhUePnyIbdu24cCBA0hNTUXDhg0xbtw4dO/enfUriIiIyjkmLIiUkJuRgJRnp3UdhkZJc9IBAMamljqORLNyMxIAOOo6DCL6f46OjliwYAEWLFig61CIiIhIzzBhQVQMFxcXXYegFc+ePQMAuLiU9S/zjuXmd0pEREREZMiYsCAqxrhx43QdglbMnj0bALB8+XIdR0JERERERMRVQoiIiIiIqJxLSUlBQkICQkNDdR0KEeXDhAUREZVaamYWImIS8SY5VdehEBERKW3//v1wd3fHzZs3cffuXbi5uaFt27YICgrSdWhEBE4JISKiUohKfIutp2/j1N2nyMzOBQA0rVUVIzo2Q/uGNXUcHRERUeG2bt0qTP319PQU+q9cuQJvb2+cOHECnTp10lV4RASOsCAiohJ6FZ+CET8H4MiNMCFZAQD3nsdg+q+n4X8tRIfRERERFS45ORnTp08v9PWsrCxMnDhRixERUUGYsCAiohJZFXAVb5LTCnxNJgNWHv4bcSnpWo6KiIioeH5+fkhNLXoaY0hICC5duqSliIioIJwSQkREKotKfIugR5FFbpOdK8WRG2EY0bGZlqIiIqKy4uzZswgMDNTY8Z88eSKaBmJnZwdAPDUEALZv345jx45pLA4fHx94e3tr7PhEho4JCyIiUtnTqARIZbJitwt7FaeFaIiIiFRjYmIiamdmZiq1HRFpFxMWRESkMjNT5T7ASZTcjoiIKD9vb2+Njjy4e/cumjdvXuQ2VlZWCAwMhL29vcbiIKKisYYFERGprEmtqrC3Mi92u/ZuzlqIhoiISDXNmjVDt27ditzmyy+/ZLKCSMeYsCAiIpVZSEzxSeuGRW7jVNEWHRvX1k5AREREKtq7dy+8vLwKfG3o0KH44YcftBwREcnjlBAiIiqRsV08EBmXjMC7zxRec7S3xtoRPjA1YV6ciIj0k4ODAy5evIizZ8/Cz88PsbGxqFmzJkaNGgUPDw9dh0dEYMKCiIhKyMTYGN9/3hF9PRvA/1oIIuOSYWUuQZemddDj/XqwNjfTdYhERETF0nS9DCIqOSYsiIi0IOptNnbcjtV1GBpihnqNmqJaVi4AINnMBPseJus4Js2JepsNW10HQURERFQOMGFBRKRhLi4uug5BK948ezc1pHrNsv3z2qL8/E6JiIiIdIkJCyIiDRs3bpyuQ9CK2bNnAwCWL1+u40iIiIiIqCxgNTSici47Oxt//PEHQkJC8OjRI6xfvx5JSUm6DouIiIiIiMo5JiyIyrHg4GC4urri008/RVRUFKKjozFlyhTUqFEDBw4c0HV4RERERERUjjFhQVROxcbGwsfHB8+fP1d47e3btxg0aBCuXLmig8iIiIiIiIiYsCAqt7Zv346oqKhCX8/JyWEtAiIiIiIi0hkW3STSQ2fPnkVgYKBGz3Hjxg14enoKbTs7OwAQ9UVHR2PmzJkwMTHRWBw+Pj5c+5yIiIiIiBQwYUFUTuXm5oramZmZCtvIZDLk5uZqNGFBRERERERUECYsiPSQt7e3xkcddOnSBRcvXixyGwcHBwQFBUEikWg0FiIiIiIiInmsYUFUTo0ZM6bYbYYPH85kBRERERER6QQTFkTlVL9+/dClS5dCX69VqxbmzJmjxYiIiIiIiIj+hwkLonLK1NQUR44cwaRJk2BtbS30m5iYoE+fPggKCoKjo6MOIyQiIiIiovKMNSyIyjELCwusX78eS5cuxeXLl5GTkwMPDw/UrFlT16EREREREVE5x4QFEcHOzg49e/bUdRhkwIKCghAVFQUTExO8ffsWNjY2ug6JiIiIiAwcp4QQEVGJnTt3Du7u7mjfvj1CQkLw4MEDODk5YeHChZBKpboOj4iIiIgMGEdYEBFRiVy6dAndu3dHVlaWqD85ORnfffcdYmNjsWnTJh1FR0RERESGjiMsiIioRGbNmqWQrMhv8+bNCAkJ0WJERERERFSWMGFBREQqu3//Pq5fv17sdjt27NBCNERERERUFhnJZDKZroMg0obQ0FAAQIMGDXQcCZHmnT17FoGBgRo7flxcHIKDg0V9dnZ2AN5NCclTpUoVuLu7aywOAPDx8YG3t7dGz0FERERE2scaFkREpDKJRKLQl5mZqdR2RERERETK4AgLKjc4woJIfWQyGerVq4dnz54Vud3Fixfh5eWlpaiIiIiIqCxhDQsiIlKZkZERFi1aVOQ2HTt2ZLKCiIiIiEqMCQsiIiqRYcOG4aeffoKFhYXCa926dcPBgwd1EBURERERlRWcEkLlBqeEEGlGfHw8fvvtNzx+/Bi2trYYOHAgPDw8dB0WERERERk4Jiyo3GDCgoiIiIiIyHBwSggRERERERER6R0mLIiIiIiIiIhI7zBhQURERERERER6hwkLIiIiIiIiItI7TFgQERERERERkd5hwoKIiIiIiIiI9A4TFkRERERERESkd5iwICIiIiIiIiK9w4QFEREREREREekdJiyIiIiIiIiISO8wYUFEREREREREeocJCyIiIiIiIiLSO0xYEBEREREREZHeYcKCiIiIiIiIiPQOExZEREREREREpHeYsCAiIiIiIiIivcOEBRERERERERHpHSYsiIiIiIiIiEjvMGFBRERERERERHqHCQsiIiIiIiIi0jtMWBARERERERGR3mHCgoiIiIiIiIj0DhMWRERERERERKR3mLAgIiIiIiIiIr3DhAURERERERER6R0mLIiIiIiIiIhI7zBhQURERERERER6hwkLIiIiIiIiItI7TFgQERERERERkd4x1XUARHlycnJw+/ZtvHz5EjExMbCxsUG1atXQvHlzVKxYUdfhERERERERkRYxYUE6l56ejo0bN8Lf3x+xsbEKr0skEnh5eWHq1Klo0KCBDiIkIiIiIiIibTOSyWQyXQdB5dfjx48xZcoUPHv2rNhtzc3NMXfuXHz22WclOldoaCgAMOlBRERERERkADjCgnQmJiYGo0aNQnR0tKjf3d0dzs7OSExMRHBwMFJTUwEAmZmZ+Pbbb2FtbQ1fX19dhExERERERERawoQF6YRMJsOUKVNEyYr69etj5cqVcHNzE/qSk5Oxdu1a7N69W+hbsGABGjZsCFdXV63GTERERERERNrDVUJIJwIDA3H79m2hXaNGDezevVuUrAAAOzs7LFy4EEOHDhX6MjMzsXbtWq3FSkRERERERNrHhAXpxIYNG0TtRYsWwd7evtDtZ8yYAScnJ6F9+vRpPHr0SGPxERERERERkW4xYUFaFxoairCwMKHt4uKCDh06FLmPpaUlBg0aJOoLCAjQSHxERERERESke0xYkNadP39e1Fa2gGbv3r1F7XPnzqktJiIiIiIiItIvTFiQ1v3111+i9gcffKDUftWrVxdNCwkPD8erV6/UGhsRERERERHpByYsSOuePHki/N3Y2BiNGzdWet9mzZoVeiwiIiIiIiIqO5iwIK1KSkpCfHy80K5UqRIsLS2V3r9GjRqidnh4uNpiIyIiIiIiIv3BhAVp1b///itqV69eXaX9q1WrVuTxiIiIiIiIqGxgwoK06u3bt6J2xYoVVdq/QoUKonZKSkqpYyIiIiIiIiL9Y6rrAKh8SU1NFbXNzc1V2t/CwkLUTktLU3rfzMxM5ObmIjQ0VKVzEhERERERUelYWVnB2dlZpX2YsCCtSk9PF7XNzMxU2l8+wSF/vKKYmvJyJyIiIiIiMhT8Bkc6ZWRkVKrtZTKZ0vs2atRIpXMRERERERGR7rCGBWmV/IogmZmZKu2fkZEhaltZWZU6JiIiIiIiItI/TFiQVsknGFRNWMhvz4QFERERERFR2cSEBWmVjY2NqJ2QkKDS/vHx8aK2ra1tqWMiIiIiIiIi/cOEBWlVrVq1RO3Xr1+rtH9UVJSorWqVWSIiIiIiIjIMTFiQVtnb26NixYpCOzY2VqWVPl68eCFqu7i4qC02IiIiIiIi0h9MWJDW1atXT/i7VCrF/fv3ld737t27hR6LiIiIiIiIyg4mLEjrPvzwQ1H7xo0bSu0XFRWFly9fCu06dergvffeU2tsREREREREpB+YsCCt69Spk6gdEBCg1H5Hjhwp8jhERERERERUdpjqOgAqfxo0aID69esjLCwMAPD06VNcvHgRHTp0KHSfjIwM7Nu3T9TXq1cvjcZpyN6+fYsHDx4gMjISiYmJyMrKgo2NDezs7ODs7Ax3d3dYWFiU+PiRkZG4f/8+4uLikJKSAktLSzg4OMDNzQ2urq4wMTFR409DRESkPzIzM/H06VO8ePECMTExSEtLg1Qqha2tLapWrQp3d3eOACUigyGVShEREYEnT54gOjoab9++haWlJezt7eHq6go3NzeYmuoubcCEBenEpEmTMGXKFKH9n//8B82bN4e9vX2B269evVo0HaRz585o1KiRxuM0JGlpaTh48CACAgJw9+5dSKXSQrc1NTVF48aN4evri549e8LBwaHY42dlZWHPnj3Yu3cvIiIiCt3OwcEB/fv3x6hRo1CpUqWS/CjlyosXL+Dt7V2qY/Tt2xc//PCDSvsMHDhQVBNGIpHg0qVLoqK4qujXrx8ePHhQ6OvGxsYwMzODhYUFKlWqhGrVqsHFxQWNGzeGp6dniT/cp6am4v333y9yGxMTE5iZmcHGxgaVKlWCk5MT6tWrh6ZNm6Jly5aFvu8YosKup2rVquH8+fMwNlZ9YOXWrVuxevVqhf6RI0di9uzZBe4zZ84cHDx4UGgvW7YM/fr1U/nc8vz9/TF37lyhreq1n5qaivHjx+P69etCn5mZGX766SfRv5v8v6OTkxPOnTtXyugNn7LvV1ZWVrCxsYGTkxPc3d3Rvn17tG/fXqVk9vr167FhwwahPWnSJEyePLnQ7YcOHSr6vRZEIpHAzs4OlSpVQuPGjdGqVSt069ZNqQT+5cuXcerUKdy+fRvh4eHIzc0tcvvatWtj4MCBGDx4cKkeEGiKOu49xcn/O1P292Nra4sKFSqgYcOG8PDwQM+ePVGhQgW1xiUfi4mJCc6fPw9HR8cSHe+zzz7DrVu3Cn3dyMgIZmZmsLS0RKVKleDo6Ii6deuiUaNG8PT0RI0aNUp03pycHLi7uxe5Td79z9raWrj/1a1bF82bN8cHH3yg1Oc/VfHa0t61VRwTExM8fPiwwNcSEhJw+vRpXLp0CdeuXUNycnKhx7GysoKvry9GjBiB2rVrlziekmLCgnTCx8cHHh4euH37NoB3T+yHDBmCVatWoUGDBsJ2KSkp+Omnn7B7926hz9zcHNOmTdN6zPrszz//xKpVq5CQkKDU9jk5Obhz5w7u3LmDFStWYPjw4RgzZgxsbGwK3D48PBxTpkwRRsUUJTExETt27MChQ4ewYsUKtGvXTqWfhTTv2bNnCgVss7OzcezYMQwdOlQj55RKpcjIyEBGRgYSExPx9OlT/PXXX8LrTZo0wYABA9C3b1+YmZmp9dy5ublIT09Heno63rx5g5CQEJw9exbAuw8xbdu2xeDBg+Hl5aXW8+qTqKgoXL16VaGGkDIOHz6sgYi0LyUlBWPGjBHuOwBgYWGBDRs2oH379jqMrOxJS0tDWloaYmJicPv2bezevRvvvfceFi1ahI4dO+osruzsbMTFxSEuLg5hYWHw9/fHsmXLMGXKFAwePLjIfffu3Su8bygjIiICK1aswL59+7B69Wo0bdq0tOGXednZ2YiPj0d8fDyePn2Ko0ePYvny5RgyZAimTZsGc3PzUp/jxYsX+Oeff0R9ubm5CAgIwOjRo0t9/ILIZDJkZmYiMzNTuP9duXJFeN3d3R2ffPIJ+vXrp/bkVv77X2xsLEJDQ4Xkq6mpKdq0aYPBgwfjo48+gpGRkVrPrU/K6rVVUjt37sSqVauQnZ2t1PZpaWnYt28fDh48iOnTp2P48OGaDVAOa1iQThgZGWHt2rWoWrWq0BcWFoY+ffqgf//+mDZtGoYPH44OHTqIkhUA8N1338HV1VXbIeuljIwMTJkyBfPnz1dIVhgbG6N+/fpo27YtevXqhY8++gju7u6wtrZWOMbmzZsxderUAs/x+vVrDBs2TCFZ4eDggHbt2qFXr17o1KmTwhPyuLg4TJgwQeHNm3Tv0KFDBfbnfyKubcHBwVi0aBF8fHxU+lJQWtnZ2bhw4QLGjBmDQYMG4fHjx1o7t7YV9nsvSnBwMJ48eaKBaLQrKSkJw4cPFyUrrKyssGXLFiYrtOTVq1cYP348tm7dqutQRBITE7FkyRLMnDkTMplM6f0sLCzQoEEDdOzYEb169UK3bt3QsmVL2Nrairb7999/MWLECNy7d0/doZcLWVlZ+O9//4vPP/8cqamppT7eoUOHCvw9l+T9UV0ePHiAxYsXo0uXLjh16pTWzpuTk4PLly9j/PjxGDhwIEJCQrR2bn1QHq6twrx8+bLAZMV7772HNm3aoGfPnujcuTNq1aolej0zMxPLli3DTz/9pK1QAXCEBemQo6MjduzYgSlTpiA8PBzAuyz0/fv3C1zq1NzcHHPmzIGvr6+2Q9VLWVlZGDNmjMIwOBcXF4wbNw5eXl4FDu/PysrC9evXcfz4cRw+fBg5OTlCf0GWLFmC6OhooW1lZYV58+ahb9++CvPZrly5ggULFgjTdzIzMzF37lwcP35c7U/NyypHR0fs2bNHpX2srKyU3lYqlSoUsM3z4MEDPH78WC0JwU2bNqF+/fqivszMTCQlJSE5ORlhYWG4ffs2/vnnH6SkpAjbvH79GhMmTMDo0aMxa9Yslc9raWmJo0ePKvSnpqYiOTkZCQkJuH//Pm7fvo1bt24J1z8A3L59GwMGDMAPP/yAbt26qXxufSSRSIQPJadPn0ZaWppK10v+0RX5j2VI4uPjMWLECNGHcRsbG2zbtq3Y6URUtMLer9LS0vDy5UsEBQXB398faWlpwmtr1qxBgwYNiqxbpQ5r1qxBs2bNRH1ZWVmIiYnBtWvXsG/fPsTHxwuvBQQEoHbt2pg0aVKBxzM1NUWrVq3QqVMneHp6ws3NrcApVtnZ2Th9+jRWrFiB169fA3hXV2rWrFkICAjQm3thtWrVlE4OT58+XTQqr6B/24LY2dkV+lpBx8jJyUFcXBzu3buHP/74A8+ePRNeu3//PhYsWIAff/xRqZgLU9iIscePH+P+/fto3LhxqY4PAGvXrlU4TmZmJpKTk4X73507d3D9+nXRMPyYmBhMmTIFX3zxBebNm6fyiAcTExMEBgYq9KempiIlJUW4/925cwc3b94UvZ/fu3cPAwcOxNKlS9G7d28Vf2IxXltimr62iqLMNVS/fn0MGDAAHTt2hLOzs8LrwcHB+O6773Dnzh2hb9OmTWjatKnWFkBgwoJ0qn79+jh48CB+/vln+Pv7Iy4uTmEbiUSCdu3a4auvvhJNFynvltmxiWEAACAASURBVC9fLkpWGBkZYfr06Rg5cmSRhXHMzMzQrl07tGvXDmPGjMHKlSsLvbGEh4eL5m0bGxtjy5Yt8PT0LHD7Dz/8EHv37kW/fv0QGxsL4N10n+PHj+Pjjz8uyY9Z7piampZ4Pqsyrl69KnyIBgAvLy9cunRJaB88eBBff/11qc9TpUqVIn+Ojz76CMC7D1J//vkntm3bhjdv3givb9++HQBUTloYGRkV++/n4+MD4F1yZNeuXdi9e7eQsEtPT8eMGTNgZmZWJlYi8vT0xM2bN5GRkYG0tDQEBgYq/X8xb5pQHi8vL62OflGHN2/eYPjw4aJRIvb29tixYweaNGmiw8jKhqLer+rXr4+OHTti2LBhGDlyJCIjIwG8ezCxevVqeHl5aXQIeuXKlQuMzcXFBa1bt8YXX3yBCRMmiOaHb9u2DZ9++imqVKmisN+aNWuUKjonkUjQo0cPfPDBBxg4cKDwfhsREaFX90JV7jXyw+UL+7dVRWHHqF27Nlq0aIEhQ4Zg8eLF2L9/v/Da8ePHMWrUqBJ/8btx4wb+/fdfoS1//zt06JBavlQW9++Tl6xLT0+Hv78/tm7diqioKOH1Xbt2QSaTYcGCBSqfu7jfS5cuXQAA0dHR2L17N3bt2oWMjAwA75IqX3/9NSQSSamS9ry2dHdtqaJp06aYPn062rRpU+R2TZo0we7du/Hll1/i8uXLQv/y5cvRsWNHrUwl4pQQ0jlLS0vMnDkTly5dwm+//YZly5ZhxowZWLRoETZu3IhLly5h8+bNTFbkc+bMGdFUGSMjIyxbtgxjx45VqYpvnTp1sHHjRsyZM6fAYmj532yBdze6wpIVeRwdHTF27Ngij0O6k3/ah5GRERYtWiS6+QUEBBRbTE6drK2tMWzYMBw6dEjh2tq+fbtGvyBXr14ds2fPhp+fn2hKU05ODmbPno1Xr15p7NzaYmNjIyp+pko9iosXLwpPoE1NTQ1uZaaoqCgMGTJElKyoWLEidu3axWSFFtWsWRNr1qwR9YWGhipVE0mTKlSogJ9//llUdDAjI6PQqXGqVsivWrWqQr0tFm5VnkQiweLFixU++xU0gk5Z8kPz58yZAxcXF9GxtTmKzNLSEoMHD8bBgwfRtm1b0Wu//fYbjh8/rrFzOzo6YsaMGdi3b5/oM4BUKsXcuXNFX77LmvJwbRVnxIgR2L9/f7HJijwSiQQrVqwQTSuPiIhAcHCwpkIUYcKC9IapqSk8PT3Rr18/jB07FoMHD4a3t3eJVy0oq6RSqUJV/MGDB6Nv374lPuaIESPwn//8R6E//8osAJQewitfVK0s3/gMSWpqKk6fPi20PTw84OzsLBr+GRMTIyoGpi2VK1fGjh07FCqeL126tNDpSurStGlT/Prrr6Kis8nJyVi1apVGz6stffr0Ef5+9epV0RSvouRPbrRr186gVv158eIFBg8eLFrRqEqVKti9ezfc3Nx0F1g51bRpU4UkkT7UN6pYsSIGDBgg6vv777/Vdnz5otMvXrxQ27HLAxMTE3z66aeivuJWgyhMRkYGTp48KbTd3d1Rt25d0TTjhIQEXLx4sWTBlkLFihWxZcsWNG/eXNS/bNkypKena/TcDRs2xK5du0SrZaWlpWH58uUaPa+ulZdrqzAlWZmtYsWK6Ny5s6jvxo0b6gqpSExYEBmY06dPC0NrgXdPcWbMmFHq4xY0b03+RlmtWjWljiW/Xf4aBaQ7J0+eFP1O826m8nVhdFUgKm95yfxDRF++fImAgACNn7tmzZr45ptvRH3Hjx8vE8m2du3aCUPcpVKpUqMskpKScOHCBaGdP+mh7yIiIjBkyBDRl8Pq1avDz88PdevW1WFk5Zt8wiL/1DRdkn/CmFdTSx3k59mro7BfeSN/3eSfOqGKM2fOiD6L5N33evfuLRrSrqv7n0QiwZo1a0Q1hmJiYrRSDNvJyUnhodWZM2fKRMHlopSXa0ud5BP+MTExWjkvExZEBkZ+1ZQBAwaoVERPFfJPVPPmORYnMzNT1C6qOBJpT/6bpUQiQffu3QG8m9Odf27lmTNn8PbtW63HB7xLHPTs2VPU9+eff2rl3L179xZVxJbJZDhw4IBWzq1JJiYmon/Twoqu5nfs2DFhZIutra1oWok+e/r0KYYMGSL6Muzs7Izdu3crVDsn7ZK/D+QvNqhL8gl2ZZcHV4b8F6D8K6ORctR13eT/4m9iYiJMcatRo4ao+O6FCxfUeg2owsnJSSE5rK37X9euXVGvXj1RX1m4/xWlPF1b6iI/fTx/4XJNYsKCyICkp6eLCoQBQL9+/TR2PvkK+o8ePVJqvwcPHojajRo1UltMVDLy64N7eXmJ5m7n/5CUkZGBEydOaDW+/AYPHixq3717F4mJiRo/r5GREQYNGiTqKyv1V/IX+surWF6U/KMwunXrppY16jUtJCQEQ4YMERVvrV27Nvz8/DRayJaUIz+6QF+vKXUWkJNPDn7wwQdqO3Z5IX/dlGSVlejoaNFUnzZt2qBy5cpCO//9T77YsLbJ3/8ePnwoek/TpM8//1zU1qcpDJpQ3q4tdcg/whtQfLCpKUxYEBmQO3fuiLKZTk5OGv0g3rZtW9Hx/f39FUZPFMTPz0/ULu0SWVR68uuDy08D6dmzp6ionC6HLrq7u4uefOTm5uLevXtaOXfr1q1F7ZCQENGSjIaqYcOGogJjRf1+w8PDRcuX6cuqBkW5f/8+hg0bJlqm0tXVFX5+fnB0dNRhZJRHPuHt5OSko0jE5Gu65E/klkZQUBC2bt0qtC0sLDBw4EC1HLs8Ucd1c+TIEVExafn7X/fu3UVfVnV5/3N1dRV94ZXJZKJlPzVJ/v739OlTvRkJpQnl7doqLZlMplA4WB0rnyiDCQsiAyJ/09L0G4WJiQmWLFkiDAF7+fIlvv766yKLIG7ZskW0Dnjnzp35VEkP5H9ibmtrq1AYtVKlSqIq5Tdu3FDIpGuLkZGRwtxSba0oUL9+fVhYWAhtqVRaZubx5n/Sc+zYsUKHcub/QFWjRg20aNFC47GVxu3btzF8+HDRKJxGjRph165dog/+pDvPnj1TGB2oL/eFq1evitq1a9cu0XGysrIQHR2N8+fPY8aMGRg9erQowT9//nxUr169NKGWS/LTElq2bKnyMfK/p1laWgpLe+axs7MTltoGgODgYDx9+lTl86iL/P0vNDRUK+d1cXGBra2tqE/Xq/loUnm8tkrj7NmzomL81tbWaNWqlVbOrdoaTUSkU/LFberUqaPxc7Zt2xarV6/GvHnzkJaWhpMnTyIkJASfffYZ3n//fdjb2yMtLQ2PHj3Cn3/+iZs3bwr7NmvWrMxXmla3ly9fqrSE77Jly4qdFiS/PriPj0+Bw7F9fX1FQ0APHTqEyZMnKx2LOtWpUwd//fWX0C5pMSxVmZqaombNmqIPaVFRUWjatKlWzq9JvXv3xurVq5Gbm4v4+HhcvnxZIXElk8lERU779OmjlTXWS+rRo0cYOXKkaBRMs2bNsH37dtbO0ROJiYmYOXMmpFKp0NewYUO9WFo2ISEBf/zxh6hP/ilzYVatWoVt27YVu52VlRUWLFiA/v37lyjG8mzDhg2iRJeRkRE++eQTlY4RHBwsSjp7e3sXWPfL19dX9LDl4MGDmDlzZgmiLr06derg/PnzQltb9z8jIyPUqlVLNGVQX4rjqpuhXlvyU4aK0qZNG+zcubNE55GXnp6u8Hl+0KBBJZpGUxJMWBAZkKSkJFE7/zKMmtS9e3c0a9YM27Ztw4kTJxAREYFly5YVur2VlRWGDRuGCRMmaO3NjAonPwRRfshins6dO8Pa2lqY13no0CFMmjRJJ19Y5Z/yaLNQlS7PrUlVq1ZFmzZtEBQUBODd71c+YXH9+nXRExR9Xx0kJCRE1G7RogW2bt2qtfdGKlhaWhpevnyJy5cvY+fOnaJpFxKJBAsXLtRhdO8kJSVh0qRJov/fZmZmpVoiPD87Ozt88cUX+Pzzzw1qSWBdys7ORnx8PO7evYs9e/YoLDH72WefqVwTS9n7X4cOHWBvby98zjpy5AimT58OY2PtD0aXT7Zq8x6ky3NrEq+t0lm6dKnowVflypUxfvx4rZ2fCQsiAyKfsJD/YqVJubm5MDY2FtU5KIitrS0mT56M/v37M1mhB+QLaFarVg2enp4FbmthYQEfHx+h4vWLFy9w48aNEg2TLC35D03KrlBj6OfWtI8//lhIWJw/fx7Jycminzf/BzAPDw+DXFnDkD4EGjpVR4RZWlpixYoVWplmFBsbK1raFnj3peXNmze4du0a9u7di7i4ONHrI0eOVFvNk+TkZPzxxx8wMjLC8OHDmUST88UXX6i0va+vL+bNm6fSPllZWTh69KjQlp/6mJ+ZmRm6deuG33//HcC72iZXrlxBu3btVDqnOujyHiT/udIQ73+8ttRr//792L9/v6hv8eLFWh3FyIQFkQHT1pPvrVu3Yt26dcjOzi5225SUFHz//ff4+eefMW3aNIWq01Q0R0dH7NmzR+ntK1SoUOTrp0+fFi1R2qtXryK/0Pn6+oqW6Dp06JBOEhb5h4+Xp3NrWpcuXYRRNJmZmThx4gQ+/fRTAO+GfJ46dUrY1hCKbVapUkVUQf/mzZsYP348tm7dKqpFQrplZWWFXr16Yfz48Vortjl9+nSVtu/atSumTp2q9PZjxowRrSqUnp6O2NhYBAcH4/Dhw3jy5AliYmKwfv16+Pv7Y+PGjXBzc1MpJnpXV2DkyJHo1KmTyvteuHBBVNumR48eRT508fX1Fb5UAu/uf7r4UqnLe1D+4txlnSFeW2vXrlW6fp067oHXrl3D4sWLRX1Dhw5F586dS31sVTBhQWRA7O3tRe2UlBSNn/OHH37AL7/8Iurr2rUr+vfvj8aNG8POzg5paWl48uQJTp06hd9//x0ZGRlISkrC4sWL8fjxY3zzzTcaj7OsMDU1VevKL8oOWczTunVrODo6CkO4T548iYULF2r9y5/8ta3N8+vy3JpmYWGBrl27wt/fH8C7Yqx5CYvTp08L04HMzMzQvXt3ncWprHbt2sHV1RUrVqwQ+q5du4aJEydi06ZNHOWlJzIzMyGTyfRyaoStrS0mTpyI4cOHq/QQwN7eXuGe7OrqijZt2mDs2LHw8/PDsmXLkJ2djZcvX2LYsGE4cOAAl9hVUXJycomLleZPvgPF3/9atGiBGjVqCCNzzpw5g7dv32p9dAzvf9phiNdW5cqVtfYeEhISgokTJ4oeVnbp0gVz587VyvnzY8KCyIDID7/SdMLiwoULomSFRCLBjz/+qFAF2d7eHi1atECLFi0wYMAAjBo1SvjCu2fPHri5uQlfikh78oYd5mnQoEGxw7eNjY3Rs2dP/Pe//wUAvH37FqdPn9b60rTy13ZxI0k0ee6KFStq7dza0KdPHyFhcfPmTURGRsLZ2Vm0kkzHjh0Vvozpq1GjRiEzMxNr164V+oKCgjB16lSsW7cOEolEh9GVbQWNCEtPT8erV69w69Yt7NmzB8nJycjNzcX+/fsRERGBHTt2FFj0VxskEglsbGxQqVIluLu7w9PTEz169CiwUF5pDR48GBYWFsJQ88TERHzzzTfYsWOH2s9liNasWYNmzZoJbalUiujoaISHh2Pv3r14+PAhgHcrZHz++ef49ddfVSp+nFdYOE/t2rWL3d/IyAi9e/fGpk2bALy7lk+ePKlyMcbS0uU9SH4ZU0O8//HaKr3IyEiMHj1adC22bt0aa9asEVYO1CZO9CQyIFWrVhW1w8PDNXq+devWidrTpk1TSFbIc3V1FX1xAIAff/zRIOdBGrrDhw+LhpYW9wQgj3yhRV2sG/7s2TNRW1vLAWZnZ4sKSwHv6n6UJa1atcJ7770ntA8fPozo6GhRETJ9L7Ypb8KECQoFwM6dO4cZM2YgNzdXR1GVfXkjwvL/cXV1RYcOHfDVV1/h3Llzoill//zzD5YuXaqV2Hbt2oXQ0FDRn/v37+Pq1as4duwYVqxYgU8++UQjyYo8/fv3F31xCgoKKjPLJJdW3pPivD81a9ZEy5YtMXDgQBw8eFD0FDctLU2hQGpxAgICRE+GDfn+p617kFQqxfPnz3VybnXitVU6MTExGDFihGi6ZZMmTbBx40adjVrkCAsiA9K8eXNRO//SU+r26tUrPHjwQGhbWVlh6NChSu3r4eGB1q1bC+vbJyQk4PLly8UmO0i98j8xB4CVK1di5cqVKh/nypUriI6OVlsxuuLIZDKFa1uVwn6lERoaiszMTKFtYmKCevXqaeXc2mJkZARfX19s3rwZwLvrxNzcXPhiX6FCBXh5eekyxBL56quvkJWVJYwOAoBTp05h9uzZWLFiBYtx6oCtrS02bNiAvn374tWrVwCA33//Hd27d0ebNm10HJ12dOvWDXfv3hXaf/31V5l7T9GE4cOHIzIyErt37wbwbsTgsmXLRNO/iiL/ZXDdunUKD2GUcePGDWEUmrbcu3dP1NbW/e/p06eimlfaPLc2ledrqziJiYkYNWoUIiMjhT5XV1ds27YN1tbWOouLd28iA9KsWTNRUZ+XL1+KliBUp9DQUFG7efPmKg3jlV+JIjg4WC1xkXLu3buntid5UqkUR44cUcuxlBEcHCwahmhiYoImTZpo5dx5SbY8bm5usLS01Mq5tSn/k55///0XW7duFdq9evUy2GkUs2fPxpAhQ0R9AQEBWLBgQbkqJqdPHBwcMH/+fFHf0qVLy3Rx2/zkV9rJ/0WAijZ9+nTRE/7Dhw/jzp07xe4XGhoqDPsvLZlMppD816TQ0FDEx8cLbSMjI9EoHU2Sv//Vq1dPq6vRaVN5vLaKk5qairFjxyIsLEzoq1GjBnbs2KHVabkFYcKCyIBYWVnBw8ND1Jc3F13dSjuHsnLlyqJ2WVnL21Coe6ihNocu7t27V9T28PDQSj0FqVQqquINvFs/vSxycXERzbnNP2/Z0KaDyFuwYAEGDhwo6jtw4IBCpXPSns6dO4vuXY8fP0ZAQIAOI9Ie+ZUDsrKydBSJ4bG2tsaXX34p6vvpp5+K3U/d9yttfqmUrwnTuHFjhc9TmiJ/7y2r9z+gfF5bRcnKysKECRNEo8GqVKmCnTt3am10bVE4JYTIwAwePBj//POP0N6/fz9GjRql9nm48pWL09PTVdpffntNzhMmsaysLBw7dkxo29vb48CBAyovg7ty5UqcPHkSAPDkyRMEBwdrfKTD8+fPRbED7+aBa0NAQICofoWRkRH69eunlXPrwscff6ww9Lhu3bpaG82iKUZGRli8eDGysrJEHy737t0LMzMzoQgiadeECRMwZswYob1p0yb07t27zE/ViYmJEbX1caUUfda/f39s3rwZr1+/BgD8/fffuHnzJlq0aFHg9rm5uaJkmLW1NQ4ePKhyocC1a9cKIwv//fdf3LhxAx988EEJfwrlvHz5UmE0o7bufydPnsTTp091cm5dKU/XVlFycnIwbdo00QgbBwcH/PLLL3ozXaVs3yWIyiAfHx/RkkbR0dFYs2ZNqY8rP0xVvsCn/BSR4jx69EjU5oc07ZFfH7xz585wdnZWKI5X3B/5QlKaHmWRlZWFr776SlRDwsnJCb169dLoeYF3HxqWLFki6uvRo4fe3Kw1oUePHgpTPz7++GMdRaNexsbG+P777xWWZv3111+xevVqHUVVvnl5eaFRo0ZCOzw8HCdOnNBhRNqRv5gtANSsWVNHkRgmiUSCESNGiPo2btxY6PZBQUGiYoEdO3ZErVq1VL7/abtAYnZ2Nr766iukpaUJfVWrVtXKe/LLly+xaNEiUV/nzp1Rt25djZ9bl8rLtVUUmUyGefPm4ezZs0KftbU1tm/fDldXV53FJY8JCyIDY2Jigjlz5oj6/Pz8SjWsbOfOnVi4cKGoz83NTTTK4sWLF7h+/bpSx0tKShK9+QHA+++/X+L4SDXy64P36NGjRMdp3769aP7q0aNHRZWx1SkuLg6jRo0SFXoFgPnz52u8KnVwcDCGDRsmKjZmZ2eHmTNnavS8ulahQgX88ccf8PPzE/58/vnnug5LbUxMTLBq1Sp07txZ1L9161Zs2LBBR1GVb2PHjhW1N2/eXKZrizx79gyBgYFC29jY2CAL2urawIEDRdNSg4KCFEaH5VHX/a9169aiefsnTpzQ2GpnCQkJGDdunGg4PgDMmzdP4zWUHj16hGHDhiEpKUnos7a2VvicWVaV9WurOEuXLhV9f7CwsMDmzZv1bqQlExZEBqhLly747LPPhLZUKsXs2bOxY8cOlZbwCw8Px4QJE7Bs2TKF/UxNTdGpUydR38KFC0VP7gsilUqxcOFCUQ2MKlWqKKxwQpohvz64g4MDWrduXaJjmZmZwdvbW2gnJibi4sWLpY4xv9TUVPz222/4+OOPFRJio0ePFp1f3aKiorBixQp8/vnnwgoGwLtrf/ny5aKlP8uqRo0a4YMPPhD+yE8FM3Smpqb48ccfFeZir1+/XlRolLSja9euqF27ttAOCwvDmTNndBeQkk6ePCkqRKeM6OhoTJgwQZTk7dy5M0cbloClpSW++OILUd+mTZsUtktOTsa5c+eEto2NDdq3b1+ic5qamsLHx0dov337VuFBTGmlp6djz5496Nu3L/766y/Ra0OHDlUYIaZOeaNzBw0aJBphmzc6rSyPLsyvrF5bytiwYQN+++03oS2RSLBu3TqFovn6gDUsiAzU3Llz8fjxY9y4cQPAu2FdK1asgL+/P8aOHQsvL68Cq/pmZ2fj+vXrOH78OA4dOoScnJxCzzFhwgQcP35c2CYiIgKffPIJFi5cWGAxppCQEHz//fe4du2awnHkC4+RZsivD+7j41Oqf/vu3buLhisePHhQ4Yl1Qd68eYMXL16I+jIzM5GSkoKkpCSEhYXhzp07uHbtmkKBVwAYNWoUZs2apXK8MplM4bzAu7XWk5OTkZCQgPv37+P27du4efOmwvVvaWmJH374QSFZR6WTkJBQ4O+lOHZ2drCzsyvVuc3MzLB+/XqMHz8eV65cEfpXr14Nc3NzDBs2rNhj5OTklCh+AKIpfOWdsbExxowZI1o1ZNOmTXq/5PXNmzfx1VdfoUOHDvD19UW7du0KvS7j4+Nx+PBhbNq0SfTU2srKCrNnz9ZWyGXO4MGDsX37dmEk3Llz5xASEgI3Nzdhm+PHj4umFHp7e5dqhF737t1FhZgPHjyInj17FrtfbGxsofe/5ORkPH78GLdv38b169dF10ieoUOHKqyso6yi7n+JiYm4f/8+7ty5gxs3biiMmDQ3N8fSpUvRrVu3Ep3bUBnStaUue/bswfr160V906ZNQ926dVW611lYWGilKCy/QRAZKHNzc2zbtg1ff/01Tp8+LfQ/efIEX3/9NYyNjeHq6ooqVarAwcEBqampiImJQUREBFJTUxWOZ2FhodBXp04dLFq0SDS3MTIyEmPHjkXlypXh7u4OOzs7pKWl4cmTJ3j+/LnCMXx8fDBo0CA1/dRUHPm5kCUdspinbdu2sLe3Fz5UXbx4EfHx8cWuGiNffVtZ1atXx4IFC5RKihQkPT29xKMyPDw8sGTJEtSvX79E+1PhVqxYofQa9/lNmjQJkydPLvX5zc3NsXHjRowZM0ZUtPj777+HmZmZaMRaQaKjo0t8Xala/6es69OnDzZs2CAUunvw4AEuXLiAjz76SLeBFUMqleL8+fM4f/48AMDZ2Rk1a9aEra0tTE1NkZqaiufPnyMiIkJhyVYLCwts2rSJyatSsLOzw2effYZt27YJfRs3bsS6deuEtrrvf56enqhcuTJiY2MBAFeuXEFMTIxCjS95U6dOLdH5qlativnz55c4YZCbm1vi96mmTZtiyZIlaNiwYYn2N2SGdG2pS0GrNK1cuRIrV65U6Tht2rTBzp071RRV4TglhMiAWVlZYcOGDViyZAkcHBxEr0mlUoSGhiIoKAhHjx7F+fPn8eDBA4VkhZWVFSZPnix6Y87v008/xXfffaewykdsbCwuXryIgIAAnD17tsBkxYABA7Bq1aoyXwVeX8ivD16pUqVSD+2TSCSiD0DZ2dkKq3iog7u7OxYvXozAwMASJytKQiKRoEOHDti6dSv27dvHZEUZZmlpiS1btihMT1u8eDEOHDigo6jKH1UL3emryMhI/PXXXzh58qRwj3327JlCsqJhw4bYu3dviafm0f8MHz4c5ubmQjswMBBPnjwB8G4E6O3bt4XX7Ozs8OGHH5bqfCYmJqLRP7m5uQqreKhDo0aNsGjRIpw+fVqroxtMTU3Rvn17bNq0CX/88Ue5TFbkKavXVlnBERZEZcCnn36KXr16wd/fHwEBAbh3716RhcwkEgkaN24MX19f9OrVq9gh1wMGDEDr1q2xa9cuHD58uMAhjPmP3aFDBwwbNkwv58GVZfJPALp06aLyclsF6dGjB/z9/YX2wYMHMXToUJWOYWRkBIlEAisrK1SsWBHVqlWDi4sLGjdujFatWmm0XoSxsTHMzMxgbW2NypUrw8nJCfXq1UOzZs3g6elZ6ikHZDjyqp8PGzZMKPAqk8mwYMECmJmZoXfv3jqOsHwYOHAgNm/ejPj4eADA3bt38ddff6Ft27Y6jqxgw4YNg6OjIy5fvox79+6JVnIoiEQigaenJz755JNST8uj/6lcuTL69++PPXv2AHj3f3fTpk1YvXq1QkHEzp07q6Vgc48ePbB3716hfejQIYwePVqlY+Td/ywtLUX3P3d3d7Rq1UqjI2/y3/8qVaoEJycn1K1bF82bN0fLli0VHnaVV4Z6bZUXRrKyXJ6ZqJxKSUnBgwcPEBkZiYSEBOTk5MDa2hr29vaoWbMm3N3dRZlkVUilUjx58gQhISFITExEamoqzM3NYWdnhzp16sDd3b3A6SVERESGLjc3F0+fPsW///6L6OhopKam2+mNCwAAD8BJREFUIjc3FzY2NrC1tYWLiwvc3Nw0vroREVF5wYQFEREREREREekdTiwnIiIiIiIiIr3DhAURERERERER6R0mLIiIiIiIiIhI7zBhQURERERERER6hwkLIiIiIiIiItI7TFgQERERERERkd5hwoKIiIiIiIiI9A4TFkRERERERESkd5iwICIiIiIiIiK9w4QFEREREREREekdJiyIiIiIiIiISO8wYUFEREREREREeocJCyIiIiJS0KlTJzRo0AANGjTA0KFDdR0OERGVQ6a6DoCIiIjKnxcvXsDb27vY7aysrGBnZwdnZ2c0a9YMnTt3hoeHhxYiJCIiIl3jCAsiIiLSW2lpaYiKisI///yD7du3Y9CgQfjkk08QEhKi69BK5dq1a8LohQYNGsDf31/XIREREekdJiyIiIjIoAQHB2PAgAE4d+6crkMhIiIiDeKUECIiItI5R0dH7NmzR6H/7du3iIiIwKlTp3Dy5ElIpVIAQFZWFmbMmIH9+/ejXr162g6XiIiItIAJCyIiItI5U1NT1KhRo8DX3Nzc0K1bNwwYMAATJ05EWloagHfTRX788Uf8/PPP2gy13OAIFiIi0jVOCSEiIiKD8OGHH2L+/PmivjNnziAmJkZHEREREZEmMWFBREREBqNv375wdHQU9V29elVH0RAREZEmcUoIERERGQwTExO0bNkSR48eFfrCw8NVOkZqaipu3ryJ6OhoxMfHw8LCAl5eXqhTp06R+2VkZODGjRt4/fo1EhISYG5ujkqVKqFRo0ZwcXEp0c+jbomJibh16xbevHmDxMREWFlZoXLlynj//fcVEj3a9PjxY4SFheH169cwNTVFlSpV8MEHH5Q4JqlUirCwMISFhSE+Ph5paWmQSCSwsbHBe++9hzp16qBmzZpq/imIiEjbmLAgIiIig1KtWjVROyEhQdT29/fH3LlzhfauXbvQqlUrREdHY+XKlThz5gzS09NF+8hkskITFuHh4fjpp59w4cIFZGRkFLiNs7Mzhg8fjkGDBsHUtPCPV506dcLLly8V+ufOnSuKOT9PT0/89ttvhR4TAC5cuIAtW7bgzp07QmFSee7u7pg8eTI6duxY5LEKirW4GArb9uLFi1i/fj2Cg4ML3K9du3aYO3eu0oVTU1NTsW3bNhw4cKDYqUAVK1ZEu3btMHToUDRt2lSp4xMRkX7hlBAiIiIyaEZGRsVuc+XKFfj6+iIgIEAhWVGUX3/9Fb1798bJkycLTVYAQGRkJP7zn/+gb9++ePXqldLHL62kpCSMGjUK48aNw61btwpNVgDAgwcPMH78eEyfPh1ZWVkaj23VqlUYN25cockKAAgKCsLAgQPxzz//FHu858+fo3fv3ti0aZNSdUvi4+Nx5MgRBAQEqBQ3ERHpD46wICIiIoMSHR0tajs4OBS5/fPnz7F8+XK8fftW2L5x48ZwcHBAfHw8Hj58WOB+GzduxNq1a0V9JiYmaNKkCd577z2kpaXh0aNHonjCwsLw2Wefwc/Pr9BVT9QlOjoaI0aMwNOnT0X9FStWRKNGjeDg4IC0tDSEhoaKRnUcO3YMKSkp2LJlC4yNNfPsauPGjdi2bRsAwNjYGI0aNYKTkxOMjIzw7NkzhIWFCdumpqZi6tSpOH78eKG/y8zMTIwZM0ZhdMp7772HunXrwt7eHlKpFCkpKXj+/DkiIyMhk8k08rMREZH2MGFBREREBiM3N1fhaXzt2rWL3GfZsmVIS0tDlSpVMG/ePHTt2hUmJibC61lZWUhMTBTtc/XqVaxbt07U16tXL8yePRtVq1YV+mQyGc6ePYtvv/0Wb968AQBERUVh1qxZ2L17t+g8ALBnzx7k5OTg7t27mD59utD/9ddfo2vXrgXGb25urtCXm5uLGTNmiJIV7u7umDlzJj788EOF7a9du4Zvv/0Wz549AwBcunQJ27dvx9ixYws8Z2mEhYUJv6MBAwZgypQpon8zALhz5w6mTZuG169fAwDi4uKwbds2zJo1q8Bj/vnnn3j+/LnQbtKkCRYtWlToVI/k5GRcvnwZhw8f1lhShoiINI/v4ERERGQwjhw5gqioKFFf69ati9wnL1mxd+9e9OjRQyGJYGZmJvpCLZVK8c0334ie0A8dOhSrV69W+OJtZGSEzp07w8/PD5UrVxb6b926hQMHDijEUq1aNdSoUUO0LQBUqFABNWrUKPBPlSpVFI7zyy+/iBI3Xbt2xb59+wpMVgBAq1at8Pvvv6N+/fpC38aNGxXqf6hDYmIiZDIZZs2ahe+++07h3wwAmjdvjm3btkEikQh9hw8fLnRKy/nz54W/Ozg44L///W+RdSns7OzQs2dPbN26VZQYIiIiw8KEBRERERmEa9euYcmSJaK+jh07KrXSxKJFi+Ds7KzUeS5duoSIiAihXb9+fcyZM6fIfWrVqoVFixaJ+nbt2qXU+VSVlZWFnTt3Cu2aNWti5cqVMDMzK3I/Ozs7rFy5Uqj5kZ6ejj/++EMjMbZr1w6jR48uchtXV1fRqJI3b94UuuJL3kgM4F3yxc7OTulYChqhQkREhoEJCyIiItK5nJwcvHjxQuFPWFgYTp06hRkzZmDEiBFIS0sT9rGwsMC0adOKPbazszO6dOmidCzyRRq//PLLIlf+yNO1a1c0bNhQaD9+/BiPHj1S+rzKCgwMFKafAMD48eOV/lLu5uYGT09PoX3hwgV1hwcAxSYr8nh5eYnaISEhxe6jiVEhRESkn1jDgoiIiHQuOjoa3t7eSm8vkUiwYsUKuLm5FbvtRx99pNRKInlu374t/N3S0lKluHr16iVKUty6dUuUxFCHq1evCn83MjKCj4+PSvu3bNkS165dAwDcv38fWVlZxY7OUIWlpSVatmyp1LYuLi6idnx8fIHb1alTB0+ePAEA3Lx5E2fPnlXp90JERIaJCQsiIiIyKG5ubli6dCkaN26s1PaqJAwSEhJEK1G4ubmpNKWgefPmovaDBw+U3ldZt27dEv5epUoVJCUlISkpSen9848WycrKQnR0tNLTZZRRs2ZNpUakAICtra2onbeSi7wePXrg9OnTAN4VHJ04cSK6dOmCPn36oE2bNrC2ti5d0EREpJeYsCAiIiK9ZWlpCRsbGzg7O6NZs2bw9vZW+ul9nooVKyq9rfwT/lq1aql0rjp16hR5PHXIX3Q0Jiam1CMNkpKS1JqwkE9CFEU+sZGTk1Pgdt26dcORI0eE4psymQyBgYEIDAyEqakp3N3d8f7776Nly5Zo2bKlSjUuiIhIfzFhQURERDrn5OSEc+fOaeTYVlZWSm+bkpIiatvY2Kh0Lvkv68nJySrtX5ycnBykpqaq9Zj564KogyaWETU2Nsa6deuwatUq+Pn5iRIbecvE3r17F7/88gskEgnatWuHL774otBVU4iIyDCw6CYRERFRIVSpfaENhY1AKI38y7fqMzMzM8ybNw8nT57EhAkT0LBhwwKTI9nZ2Th//jxGjBiByZMnFzrNhIiI9B9HWBARERH9P/kREvIjLoojv726pyZYWFjAwsICGRkZAABPT0/89ttvaj2HvnN2dsbUqVMxdepUJCUl4c6dO7hx4wb+/vtv3L9/X5SACQwMRFpaGnbs2KHDiImIqKQ4woKIiIjo/8nXu3j+/LlK+4eHhxd5PHWoVKmS8PeIiAi1H9+Q2Nvbo0OHDpgxYwb+/PNPnD9/HiNHjoSJiYmwTVBQEC5evKjDKImIqKSYsCAiIiL6fxUqVICTk5PQDg0NRVZWltL73717V9R2d3cvcLvSTDVp1qyZ8PeYmBg8ffq0xMcqa6pXr47Zs2dj8uTJov68Yp1ERGRYmLAgIiIiysfDw0P4e1pamkpfdo8ePVrosfIzMzMTtbOzs5U+h3whyYMHDyq9b3nRt29fUTv/UrVERGQ4mLAgIiIiyqdXr16i9ubNmyGVSovd78yZM3j48KHQdnV1RaNGjQrcVr5Wxps3b5SOr3v37rC3txfau3fvLvdTQ+TJr+4ikUh0FAkREZUGExZERERE+XTo0AE1a9YU2g8fPsSqVauK3CcyMhLffvutqG/IkCGFbu/s7Cz6En3t2jWl47OxscGIESOEdnp6OsaNG4fIyEiljwEAjx49QnBwsEr76Movv/yi0mofR44cEbXr1Kmj7pCIiEgLmLAgIiIiysfY2BhLliwR1ZnYsWMHZs+ejdjYWNG2MpkMZ86cweeffy4aJeHh4YEBAwYUeg6z/2vv/kFSe+M4jn+8WWKCSEFQuaQFGRhNQVu0FEFQcyVUNIV7GbUWSETQUpNLfzAJqbE1CCKSoiitQSKqyYwiHcx+w+UndPtzf/d3L7cTvF9whufwPMcvZ5IPz3m+JSXyer2F8e7ursbHx7Wzs6NkMqnLy8vC9dbui+HhYTU3NxfGyWRSPT09WlxcVDqdfvd3r66utLS0pL6+PnV3d+vo6Ojjl2EQ09PTam1t1cTEhLa3twtdUn6UzWYVCoU0NTVVuGcymdTV1fW3SgUA/EG0NQUAAPhBS0uLRkZGND8/X7gXjUa1ubmpxsZGVVVV6fHxUScnJ7q5uXmxtqKiQsFg8EWnirf09/drf3+/MI5EIopEIq/mvdW61Gw2a25uTgMDAzo9PZX0vaXqzMyMZmdnVVdXp+rqatlsNmWzWd3d3en8/FypVOqX34VR3N/fKxwOKxwOy2w2y+VyqbKyUna7Xfl8Xjc3Nzo+Pn4VZvh8PtXX139S1QCA30FgAQAA8Aa/3y+bzaaZmRnlcjlJ0tPTk2KxmGKx2JtramtrtbCwIKfT+dPnd3Z26uDgQKFQ6H/VV1ZWptXVVU1OTr74BCKfzysejysej3+43mQyvTpL46vI5XJKJBJKJBLvzjGZTPL5fBodHf2LlQEA/iQ+CQEAAHjH4OCgNjY21N7eLovF8u48p9OpQCCgaDT6n8KKf42NjWltbU29vb3yer1yOBy/dECk1WpVMBjU+vq6Ojo6VFpa+uH8oqIiNTU1ye/3a2tr69UBo0a1vLysoaEheTyen+5cKS4uVltbm1ZWVhQIBPTtG393AeCrMj0/Pz9/dhEAAABGl8lktLe3p+vra93e3spisai8vFwNDQ1yu92fXZ6k7zsPDg8PdXFxoXQ6rUwmI6vVKofDIZfLJbfbLZvN9tll/paHhwednZ3p4uJCqVRKmUxGJSUlstvtqqmpkcfjedUlBADwNRFYAAAAAAAAw2GPHAAAAAAAMBwCCwAAAAAAYDgEFgAAAAAAwHAILAAAAAAAgOEQWAAAAAAAAMMhsAAAAAAAAIZDYAEAAAAAAAyHwAIAAAAAABgOgQUAAAAAADAcAgsAAAAAAGA4BBYAAAAAAMBwCCwAAAAAAIDhEFgAAAAAAADD+Qd38kBjbKO5XQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "fig, ax = plt.subplots(figsize = (15,10))\n",
    "# sns.color_palette(\"hls\", 8)\n",
    "# sns.color_palette(\"Set2\")\n",
    "sns.color_palette(\"husl\", 8)\n",
    "for axis in ['top','bottom','left','right']:\n",
    "    ax.spines[axis].set_linewidth(1.5)\n",
    "my_pal = {\"C8\": \"red\", \"FADD\": \"lightcoral\", \"MLKL\":\"darkred\", 'RIP3': 'rosybrown',\n",
    "         'TRADD': 'green', 'TRAF2': 'purple'}\n",
    "# b = sns.boxplot(x = \"value\", y =\"variable\", data = dfclus0, notch = True, width = 0.5, palette = my_pal)\n",
    "b = sns.boxplot(y=\"value\", x=\"variable\", data=dfmelt, zorder=2, showfliers = False)\n",
    "b = sns.swarmplot(y=\"value\", x=\"variable\", data=dfmelt, zorder=2, color = 'black', size = 10)\n",
    "# b = sns.boxplot(x = \"value\", y =\"variable\", data = dfclus0, notch = True, width = 0.5, palette = my_pal)\n",
    "b.set_xlabel(\"Proteins\",fontsize=40)\n",
    "b.set_ylabel(\"Amount [molecules]\",fontsize=40)\n",
    "# plt.xticks(fontsize = 25)\n",
    "# b.set_ylabel(\"Cluster 0 New\",fontsize=15)\n",
    "b.tick_params(labelsize=40)\n",
    "# plt.xlim(xmax = 1800, xmin = 1)\n",
    "ax.set_yticks([0, 5000, 10000, 15000, 20000])\n",
    "plt.ylim(top = 20000)\n",
    "right_side = ax.spines[\"right\"]\n",
    "right_side.set_visible(False)\n",
    "top = ax.spines[\"top\"]\n",
    "top.set_visible(False)\n",
    "plt.tight_layout()\n",
    "ax.tick_params(axis='both', which='major', labelsize=40)\n",
    "# plt.savefig('necroptosismarkers_msdata_intials_seabornboxplot.pdf')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# mlkl = [3091, 9358, 7161, 4601]\n",
    "# c8 = [2118, 2851, 3152]\n",
    "# rip3 = [5939,  7997, 8841]\n",
    "# tradd = [2618, 3525, 3897]\n",
    "# traf = [6565, 8839, 9773]\n",
    "# fadd = [1733,  2333, 2580]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}