5_Word_Embeddings.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "aa78455b-b2db-4222-a690-32c70e0201c2",
   "metadata": {},
   "source": [
    "# Word Embeddings\n",
    "\n",
    "In this notebook, we will use the popular [gensim](https://radimrehurek.com/gensim/) library to demonstrate static word embeddings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "54a78cd2-efe8-44de-a7e0-01471ac2c963",
   "metadata": {},
   "outputs": [],
   "source": [
    "import gensim\n",
    "import gensim.downloader as api"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2a4f97ae-0f7f-4ec4-ae43-4cfa8e9f29a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load pre-trained embedding model\n",
    "model = api.load(\"glove-wiki-gigaword-300\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4c276a6-bfaa-475d-b22b-c026d68977bd",
   "metadata": {},
   "source": [
    "## Countries and Capitals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bfa9a591-85cf-440b-b7d2-b0c487b6f4eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('spain', 1.0),\n",
       " ('spanish', 0.7018521428108215),\n",
       " ('portugal', 0.6837542653083801),\n",
       " ('madrid', 0.6207928657531738),\n",
       " ('morocco', 0.5984663367271423),\n",
       " ('argentina', 0.5970551371574402),\n",
       " ('italy', 0.5794763565063477),\n",
       " ('france', 0.5735931992530823),\n",
       " ('barcelona', 0.5564866065979004),\n",
       " ('valencia', 0.5475435853004456)]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find the closest words to the embedding vector\n",
    "model.similar_by_vector(model['spain'], topn=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a741346f-9b24-4bc2-a273-79ab2093e38f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('france', 0.7788555026054382),\n",
       " ('paris', 0.6755749583244324),\n",
       " ('french', 0.6073658466339111),\n",
       " ('spain', 0.6002400517463684),\n",
       " ('belgium', 0.5509710907936096),\n",
       " ('prohertrib', 0.5404820442199707),\n",
       " ('europe', 0.5105734467506409),\n",
       " ('britain', 0.4912627339363098),\n",
       " ('italy', 0.4869527220726013),\n",
       " ('greece', 0.46224045753479004)]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_vector = model['spain'] - model['madrid'] + model['paris']\n",
    "model.similar_by_vector(new_vector, topn=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "68239130-186c-47f3-9ded-4fbee60009e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('germany', 0.7243330478668213),\n",
       " ('berlin', 0.6511068344116211),\n",
       " ('german', 0.5675503611564636),\n",
       " ('austria', 0.5670680999755859),\n",
       " ('poland', 0.5424329042434692),\n",
       " ('spain', 0.5124938488006592),\n",
       " ('europe', 0.4960699677467346),\n",
       " ('belgium', 0.4838774502277374),\n",
       " ('britain', 0.4805854856967926),\n",
       " ('hungary', 0.4778807461261749)]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_vector = model['spain'] - model['madrid'] + model['berlin']\n",
    "model.similar_by_vector(new_vector, topn=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03cb42c3-76d0-4d35-9e5e-569fb8c504d2",
   "metadata": {},
   "source": [
    "## Queen - Woman + Man = ? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5d412c20-1d70-46ec-b041-6a044cfbd745",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('queen', 1.0), ('elizabeth', 0.6771446466445923), ('princess', 0.6356763243675232), ('king', 0.6336469054222107), ('monarch', 0.5814187526702881), ('royal', 0.543052613735199), ('majesty', 0.5350356698036194), ('victoria', 0.5239555835723877), ('throne', 0.509709894657135), ('lady', 0.5045416355133057)]\n"
     ]
    }
   ],
   "source": [
    "# Find the closest word to the new vector\n",
    "print(model.similar_by_vector(model['queen'], topn=10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5aba7824-91ba-40a6-877a-e1a095e5d920",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('queen', 0.7847283482551575), ('king', 0.6635369062423706), ('ii', 0.5123060345649719), ('majesty', 0.5093693733215332), ('monarch', 0.4966937005519867), ('prince', 0.4964632987976074), ('royal', 0.4811263382434845), ('elizabeth', 0.48111575841903687), ('vi', 0.4598718583583832), ('crown', 0.44824138283729553)]\n"
     ]
    }
   ],
   "source": [
    "# Perform vector arithmetic: Queen - Woman + Man\n",
    "new_vector = model['queen'] - model['woman'] + model['man']\n",
    "\n",
    "# Find the closest word to the new vector\n",
    "print(model.similar_by_vector(new_vector, topn=10))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c341e11-d0f8-4391-8b71-6e80d0afa247",
   "metadata": {},
   "source": [
    "## Diseases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e689986f-e430-4b85-98eb-0cf8c16ad9f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['eyes', 'skin', 'lungs', 'brain', 'heart', 'intestine']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words = [\n",
    "    (\"asthma\", \"lungs\"),\n",
    "    (\"bronchitis\", \"lungs\"),\n",
    "    (\"emphysema\", \"lungs\"),\n",
    "    (\"tuberculosis\", \"lungs\"),\n",
    "    (\"covid\", \"lungs\"),\n",
    "    (\"apnea\", \"lungs\"),\n",
    "    (\"influenza\", \"lungs\"),\n",
    "    (\"arrhythmia\", \"heart\"),\n",
    "    (\"myocarditis\", \"heart\"),\n",
    "    (\"angina\", \"heart\"),\n",
    "    (\"hypertension\", \"heart\"),\n",
    "    (\"epilepsy\", \"brain\"),\n",
    "    (\"migraine\", \"brain\"),\n",
    "    (\"meningitis\", \"brain\"),\n",
    "    (\"parkinson\", \"brain\"),\n",
    "    (\"alzheimer\", \"brain\"),\n",
    "    (\"stroke\", \"brain\"),\n",
    "    (\"gastritis\", \"intestine\"),\n",
    "    (\"ulcer\", \"intestine\"),\n",
    "    (\"gastroenteritis\", \"intestine\"),\n",
    "    (\"colitis\", \"intestine\"),\n",
    "    (\"dermatitis\", \"skin\"),\n",
    "    (\"acne\", \"skin\"),\n",
    "    (\"cellulitis\", \"skin\"),\n",
    "    (\"melanoma\", \"skin\"),\n",
    "    (\"herpes\", \"skin\"),\n",
    "    (\"warts\", \"skin\"),\n",
    "    (\"glaucoma\", \"eyes\"),\n",
    "    (\"conjunctivitis\", \"eyes\"),\n",
    "    (\"myopia\", \"eyes\"),\n",
    "    (\"hyperopia\", \"eyes\"),\n",
    "    (\"astigmatism\", \"eyes\"),\n",
    "    (\"retinopathy\", \"eyes\"),\n",
    "]\n",
    "\n",
    "classes = list(set([w[1] for w in words]))\n",
    "classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "71d415da-f01f-40ac-93d8-ec60c142d647",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['covid']\n"
     ]
    }
   ],
   "source": [
    "# OOV words\n",
    "oov_words = [word[0] for word in words if not word[0] in model]\n",
    "print(oov_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a9612a32-82e2-4fe6-8873-64f8e32b17af",
   "metadata": {},
   "outputs": [
    {
     "data": {
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1iyFDhuDs7IyZmRmOjo6ULFkSQO+1fBYJCQm0bt2aokWLsmTJEr0vkPfv32f8+PG4urpiYmJCoUKFcHR05M6dO899vsuXL+Pu7o6Bgf6fjYzukZcvX9bbXrx4cb3nGQlbdgnO4+cpV65cpu3ZnSevZHQhtbKyynK/iYkJ06ZNY/PmzTg7O1O/fn2mT5/Ov//+q5U5d+4cAO+99x6Ojo56j23btumNj8ztZ2L69OmcOHECV1dXatSoQUhIiF6im3HOrl27Zjrnt99+S3Jy8lPf87p162pjz06cOEF8fLzWRdDHx4crV64QExOjjVXLSNIy3ous3q/y5ctneq8MDQ0pVqyY3rbLly9jYGBA6dKl9bZnVWd2mjRpgr29vd6YrZUrV1KlShUqVqwIPHqd4uPjcXJyyvQ6JSYmau9Nxjjbd955J9fnf/J6nuX3JOM9f9yoUaOwtLSkRo0auLu7M2DAgFyNLxRCvFlkTJoQ4qlat26tdwe4a9euWS7yW6JECbp3706rVq0oVaoUy5cv57///W+WddavXx8/Pz+mT5+e45pnL8Lb25vy5cuzcuVK/vOf/7By5UpUVdWSt+woisKPP/7I/v37+fnnn9m6dSvdu3dn1qxZ7N+/H0tLy2zvqqelpWXa1r59e/bu3cvIkSPx9PTE0tKS9PR0Gjdu/NRWjuwEBQVx5coVDh48mGkM1aBBgwgNDWXo0KHUrl0bGxsbFEXhww8/fO7zPavskmBVVV/K+Z/ViRMn0Ol0WX5pzjB06FACAgJYv349W7duZdy4cUyZMoXffvsNLy8v7bVdunQpLi4umY43NPzfn9zcfibat29PvXr1WLduHdu2bWPGjBlMmzaNtWvX0qRJE63sjBkz8PT0zDLujFbC7Dw+Ls3Y2Bh7e3vKly8PPJqN1dzcnD179nDp0iW98s/KxMQkU/KSF4yMjGjfvj2LFi3i6tWrxMbGcu7cOaZPn66VSU9Px8nJieXLl2dZR05jb/NTVuNiK1SoQHR0NJs2bWLLli389NNPfPXVV4wfP56JEycWQJRCiIIgSZoQQpNd4jFr1iy9FpAn1z57kp2dHaVLl+bEiRM5lgsJCcHPz48FCxY8e7C5FBgYyLhx4zh+/DgrVqzA3d2d6tWr5+rYWrVqUatWLT799FNWrFhBYGAgq1atomfPnlrL0JMLfz95p/z27duEh4czceJExo8fr23PaAF5HlOnTmX9+vWsXbtW+zL9uB9//JGuXbsya9YsbduDBw8yxfosE5aUKFGC48ePk56ervdF+8yZM9r+vFCiRAmio6Mzbc/r8zwuNjaW3bt3U7t27Wxb0jKULl2aESNGMGLECM6dO4enpyezZs1i2bJlWmuQk5NTtut2wbN/JgoXLkz//v3p378/165do2rVqnz66ac0adJEO6e1tXWO58xJ1apVtUTMxMSE2rVra58NQ0NDqlevTkREBJcuXcLJyUlbozDjvYiOjua9997TqzM6OjpX71WJEiVIT0/nwoULeq1nWX0GchIYGMg333zDDz/8wKVLl1AURa/LYenSpdmxYwd16tTJcbKijNfzxIkTlClTJtty2f3u5NXviYWFBR06dKBDhw6kpKTQunVrPv30U8aMGfNWLA0hhJDujkKIx2SsWfTkl3lvb2+9roYeHh4AHDt2LMuZFy9fvsypU6ee2mXJ19cXPz8/pk2bxoMHD/LmIp6Q0Wo2fvx4oqKintqKBo++RD/Z4pPRSpHR5bFEiRLodDp+//13vXJfffWV3vOMFqUn65szZ06ur+FxO3bs4JNPPmHs2LG0bNkyyzI6nS7T+ebNm5eplS+79zsrTZs25d9//+WHH37QtqWmpjJv3jwsLS3x9fV9tgvJ4TwHDx5k37592rakpCQWLlyIm5ub9tnLK7du3aJjx46kpaUxduzYbMvdu3cv02e0dOnSWFlZaZ8Jf39/rK2t+eyzz7Icy3j9+nUg95+JtLS0TF0VnZycKFKkiHZOb29vSpcuzcyZMzPN+vn4OXNiaGhIzZo1iYiIICIiQhuPlsHHx4fff/+d/fv36y23Ua1aNZycnPjmm2/0ugJv3ryZ06dP52qGxoxFpr/44gu97c/6+1GnTh3c3NxYtmwZP/zwA76+vnpdK9u3b09aWlqWXbBTU1O134FGjRphZWXFlClTMr3fj79fFhYWWXYjzYvfkyeXYTA2NsbDwwNVVfNkjKwQ4vUgLWlCCE3GNNtjx47lww8/xMjIiICAgGwXnN2+fTsTJkzggw8+oFatWlhaWnLx4kW+//57kpOTCQkJeeo5J0yYkOMkIGfPnmXZsmWZtjs7O/P+++8/tf6SJUvi4+PDhg0bAHKVpC1evJivvvqKVq1aUbp0ae7evcuiRYuwtrbWFju2sbGhXbt2zJs3D0VRKF26NJs2bcq0Lpu1tbU2funhw4cULVqUbdu2aV3HnlXHjh1xdHTE3d090+vy/vvv4+zsTPPmzVm6dCk2NjZ4eHiwb98+duzYoU3Rn8HT0xOdTse0adOIj4/HxMSE9957Dycnp0zn7d27NwsWLCAoKIjDhw/j5ubGjz/+SEREBHPmzHlqC1RujR49mpUrV9KkSRMGDx6Mvb09ixcv5tKlS/z0008v1F0u47OkqioJCQkcO3aMNWvWkJiYyOeff07jxo1zPLZBgwa0b98eDw8PDA0NWbduHVevXuXDDz8EHr3XX3/9NZ07d6Zq1ap8+OGHODo6Ehsbyy+//EKdOnWYP39+rj8Td+/epVixYrRt25YqVapgaWnJjh07iIyM1FpJDQwM+Pbbb2nSpAkVK1akW7duFC1alH/++YedO3dibW3Nzz///NTXpm7dutrkGU+ue+jj48OUKVO0chmMjIyYNm0a3bp1w9fXl44dO2pT8Lu5uTFs2LCnntfT05OOHTvy1VdfER8fj4+PD+Hh4Zw/f/6pxz5OURQ6derEZ599BsCkSZP09vv6+tKnTx+mTJlCVFQUjRo1wsjIiHPnzrFmzRrmzp1L27Ztsba2Zvbs2fTs2ZPq1avTqVMn7OzsOHbsGPfu3dPWO/P29uaHH35g+PDhVK9eHUtLSwICAvLk96RRo0a4uLhQp04dnJ2dOX36NPPnz6dZs2Z59nsmhHgNFNi8kkKIV9LkyZPVokWLqgYGBk+djv/ixYvq+PHj1Vq1aqlOTk6qoaGh6ujoqDZr1kz97bff9Mo+PgX/k3x9fVXgmabgz2la+id9+eWXKqDWqFEjy/1PTn1/5MgRtWPHjmrx4sVVExMT1cnJSW3evLl66NAhveOuX7+utmnTRjU3N1ft7OzUPn36qCdOnMg0Bf/ff/+ttmrVSrW1tVVtbGzUdu3aqVeuXMk0xXhupuDP6TXJmEr/9u3bardu3dRChQqplpaWqr+/v3rmzBm1RIkSateuXfWuYdGiRWqpUqVUnU6nV0dWU/9fvXpVq9fY2FitVKmS3nWq6v+mFs9qqvonrzc7Fy5cUNu2bava2tqqpqamao0aNdRNmzZlWd+zTMGf8TAwMFBtbW1VLy8vdciQIerJkyczlX9yCv4bN26oAwYMUMuXL69aWFioNjY2as2aNdXVq1dnOnbnzp2qv7+/amNjo5qamqqlS5dWg4KC9D4/uflMJCcnqyNHjlSrVKmiWllZqRYWFmqVKlXUr776KtM5jx49qrZu3Vp1cHBQTUxM1BIlSqjt27dXw8PDc/X6bN26VQVUQ0NDNSkpSW/fzZs3VUVRVEA9cOBApmN/+OEH1cvLSzUxMVHt7e3VwMBA9e+//9Yr07VrV9XCwiLLc9+/f18dPHiw6uDgoFpYWKgBAQHqX3/9levPS4aTJ0+qgGpiYqLevn07yzILFy5Uvb29VTMzM9XKykqtVKmS+vHHH6tXrlzRK7dx40bVx8dHNTMzU62trdUaNWroLfuRmJiodurUSbW1tdWWIMnwor8nCxYsUOvXr6+9l6VLl1ZHjhypt8SAEOLNp6jqKzqKWwghhBBCCCHeQjImTQghhBBCCCFeIZKkCSGEEEIIIcQrRJI0IYQQQgghhHiFSJImhBBCCCGEEK8QSdKEEEIIIYQQ4hUiSZoQQgghhBBCvELeuMWs09PTuXLlClZWViiKUtDhCCGEEEIIIQqIqqrcvXuXIkWKYGDw+rRPvXFJ2pUrV3B1dS3oMIQQQgghhBCviL/++otixYoVdBi59sYlaVZWVsCjN8La2rqAoxFCCCGEEEIUlISEBFxdXbUc4XXxxiVpGV0cra2tJUkTQgghhBBCvHbDoF6fjplCCCGEEEII8RaQJE0IIYQQQgghXiGSpAkhhBBCCCHEK0SSNCGEEEIIIYR4heRrkubm5oaiKHqPqVOnZlv+1q1bDBo0iHLlymFmZkbx4sUZPHgw8fHx+RmmEEIIIYQQQrwy8r0lbdKkScTFxWmPQYMGZVv2ypUrXLlyhZkzZ3LixAnCwsLYsmULPXr0yO8whRAFwM/Pj6FDhxZ0GLm2a9cuFEXhzp07OZZzc3Njzpw5LyUmIYQQQrx58n0KfisrK1xcXHJV9p133uGnn37SnpcuXZpPP/2Ujz76iNTUVAwN37gVA4QQryg/Pz88PT31ki0fHx/i4uKwsbEBICwsjKFDh2ZK2iIjI7GwsHiJ0QohhBDiTZLvLWlTp07FwcEBLy8vZsyYQWpq6jMdHx8fj7W1dbYJWnJyMgkJCXoPIcSbLy0tjfT09Jd6TmNjY1xcXJ661oqjoyPm5uYvKSohhBBCvGnyNUkbPHgwq1atYufOnfTp04fPPvuMjz/+ONfH37hxg8mTJ9O7d+9sy0yZMgUbGxvt4erqmhehCyHyWFJSEl26dMHS0pLChQsza9Ysvf3JyckEBwdTtGhRLCwsqFmzJrt27dL2h4WFYWtry8aNG/Hw8MDExITY2Fjc3Nz473//q9VdokQJNm7cyPXr12nRogWWlpZUrlyZQ4cOaXXdvHmTjh07UrRoUczNzalUqRIrV67U9gcFBbF7927mzp2rjaeNiYnR6+64a9cuunXrRnx8vFYmJCQE0O/uqKoqISEhFC9eHBMTE4oUKcLgwYPz7XUWQgghxOvvmZO00aNHZ5oM5MnHmTNnABg+fDh+fn5UrlyZvn37MmvWLObNm0dycvJTz5OQkECzZs3w8PDQvvhkZcyYMcTHx2uPv/7661kvSQjxEowcOZLdu3ezYcMGtm3bxq5duzhy5Ii2f+DAgezbt49Vq1Zx/Phx2rVrR+PGjTl37pxW5t69e0ybNo1vv/2WkydP4uTkBMDs2bOpU6cOR48epVmzZnTu3JkuXbrw0UcfceTIEUqXLk2XLl1QVRWABw8e4O3tzS+//MKJEyfo3bs3nTt35uDBgwDMnTuX2rVr06tXL2087ZM3gHx8fJgzZw7W1tZameDg4EzX/dNPPzF79mwWLFjAuXPnWL9+PZUqVcrz11cIIYQQb45nHuQ1YsQIgoKCcixTqlSpLLfXrFmT1NRUYmJiKFeuXLbH3717l8aNG2NlZcW6deswMjLKtqyJiQkmJia5il0IUTASExP57rvvWLZsGQ0aNABg8eLFFCtWDIDY2FhCQ0OJjY2lSJEiAAQHB7NlyxZCQ0P57LPPAHj48CFfffUVVapU0au/adOm9OnTB4Dx48fz9ddfU716ddq1awfAqFGjqF27NlevXsXFxYWiRYvqJVSDBg1i69atrF69mho1amBjY4OxsTHm5ubZjqk1NjbGxsYGRVFyHHcbGxuLi4sLDRs2xMjIiOLFi1OjRo3neRmFEEII8ZZ45iTN0dERR0fH5zpZVFQUBgYG2t3vrCQkJODv74+JiQkbN27E1NT0uc4lhHh1XLhwgZSUFGrWrKlts7e3127W/Pnnn6SlpVG2bFm945KTk3FwcNCeGxsbU7ly5Uz1P77N2dkZQK+1KmPbtWvXcHFxIS0tjc8++4zVq1fzzz//kJKSQnJycr6MI2vXrh1z5syhVKlSNG7cmKZNmxIQECATIQkhhBAiW/n2LWHfvn0cOHCAd999FysrK/bt28ewYcP46KOPsLOzA+Cff/6hQYMGLFmyhBo1apCQkECjRo24d+8ey5Yt05sIxNHREZ1Ol1/hCiEKUGJiIjqdjsOHD2f6Pbe0tNR+NjMzy3LSjsdb2zP2Z7UtY6KRGTNmMHfuXObMmUOlSpWwsLBg6NChpKSk5N1F/T9XV1eio6PZsWMH27dvp3///syYMYPdu3fn2EtACCGEEG+vfEvSTExMWLVqFSEhISQnJ1OyZEmGDRvG8OHDtTIPHz4kOjqae/fuAXDkyBEOHDgAQJkyZfTqu3TpEm5ubvkVrhDiGamqStTl20Scvc7DtHTKFramQUUXTI0y30wpXbo0RkZGHDhwgOLFiwNw+/Ztzp49i6+vL15eXqSlpXHt2jXq1auX77FHRETQokULPvroI+BR8nb27Fk8PDy0MsbGxqSlpeVYT27KwKPkMiAggICAAAYMGED58uX5888/qVq16otdiBBCCCHeSPmWpFWtWpX9+/fnWMbNzU0byA+P1iV6/LkQ4tV0MzGZkSuOcOqfBHQGCgqQmq4yZ/MZPm3vSY3SDnrlLS0t6dGjByNHjsTBwQEnJyfGjh2LgcGjuYvKli1LYGAgXbp0YdasWXh5eXH9+nXCw8OpXLkyzZo1y9P43d3d+fHHH9m7dy92dnZ8/vnnXL16VS9Jc3Nz48CBA8TExGBpaYm9vX2metzc3EhMTCQ8PJwqVapgbm6eqctkWFgYaWlp1KxZE3Nzc5YtW4aZmRklSpTI02sSQgghxJsj39dJE0K8WVLT0hmy5BDRcXcBSEtXSU1/dHMlMTmVEcsPc/7q3UzHzZgxg3r16hEQEEDDhg2pW7cu3t7e2v7Q0FC6dOnCiBEjKFeuHC1btiQyMlJrectLn3zyCVWrVsXf3x8/Pz9cXFxo2bKlXpng4GB0Oh0eHh44OjoSGxubqR4fHx/69u1Lhw4dcHR0ZPr06ZnK2NrasmjRIurUqUPlypXZsWMHP//8s95YOyGEEEKIxynqG9Z0lZCQgI2NjbYIthAib/1+5hofrzya7X6dgUKjSi5MaJ15gg8hhBBCiJfpdc0NpCVNCPFMfjv5LzqDzJN3ZEhLVwk/eVW6Lr9G/Pz8GDp0aEGHobdYeG7ExMSgKApRUVE5lntVrk8IIYTILZkDWgjxTO6npJGWnnMClpKajqpCFhMxilfQ2rVrX/pMk35+fnh6ejJnzhxtm4+PD3FxcdjY2OSqDldXV+Li4ihUqBDwKMl79913uX37Nra2tlq5grg+IYQQ4kVIkiaEeCYlClmgUxTSsmkpU4AidmYY5NDaJl4tWU2KUhCMjY1zXBj8STqdLlflX5XrE0IIIXJLujsKIZ5JC+9ipOfUlVGBtjXyfrKPt1l6ejrTp0+nTJkymJiYULx4cT799FPg0ULg7733HmZmZjg4ONC7d28SExO1Y4OCgmjZsiUzZ86kcOHCODg4MGDAAB4+fKiVebI7oKIorF+/Xi8GW1tbwsLCgP91M1y7di3vvvsu5ubmVKlShX379ukdExERgZ+fH+bm5tjZ2eHv78/t27cJCgpi9+7dzJ07F0VRUBSFmJgYve6OCQkJmJmZsXnzZr06161bh5WVFffu3dPr7hgTE8O7774LgJ2dHYqiEBQUlOX1ffXVV7i7u2NqaoqzszNt27Z9nrdFCCGEyDeSpAkhnklRe3MGvF8WyNyd0UCByq62tK7uWgCRvbnGjBnD1KlTGTduHKdOnWLFihU4OzuTlJSEv78/dnZ2REZGsmbNGnbs2MHAgQP1jt+5cycXLlxg586dLF68mLCwMC3hehFjx44lODiYqKgoypYtS8eOHUlNTQUgKiqKBg0a4OHhwb59+9izZw8BAQGkpaUxd+5cateuTa9evYiLiyMuLg5XV/3PjLW1Nc2bN2fFihV625cvX07Lli0zLXXg6urKTz/9BEB0dDRxcXHMnTs3U8yHDh1i8ODBTJo0iejoaLZs2UL9+vVf+LUQQggh8pJ0dxRCPLOP6paksJ0ZYb9f5Ny/j6bbtzEzok0NV7rUK4VJFgtai+dz9+5d5s6dy/z58+natSvwaHHwunXrsmjRIh48eMCSJUuwsLAAYP78+QQEBDBt2jScnZ2BRy1L8+fPR6fTUb58eZo1a0Z4eDi9evV6odiCg4O1NewmTpxIxYoVOX/+POXLl2f69OlUq1aNr776SitfsWJF7WdjY2PMzc1z7K4YGBhI586duXfvHubm5iQkJPDLL7+wbt26TGV1Op3WrdHJyUlvTNrjYmNjsbCwoHnz5lhZWVGiRAm8vLye5/KFEEKIfCMtaUKI59KgogtL+/nwy0g/1g+rzy8j/ej9njum+ZigZXTdy/Css/Y9ORtgbmcTdHNz05vg4mU6ffo0ycnJNGjQIMt9VapU0RI0gDp16pCenk50dLS2rWLFiuh0/3tfChcuzLVr1144tsqV/7fMQuHChQG0ejNa0l5E06ZNMTIyYuPGjQD89NNPWFtb07Bhw+eu8/3336dEiRKUKlWKzp07s3z5cu7du/dCcQohhBB5TZI0IcQLcbA0wcXWDEPd6/ffyZOzCYaFhWXZAhMZGUnv3r1fcnSPmJmZvXAdT85sqCgK6enp2ZZXFCXTEgqPj2HLql7l//u+ZtSbF3EbGxvTtm1brcvjihUr6NChA4aGz98JxMrKiiNHjrBy5UoKFy7M+PHjqVKlSq6n/RdCCCFehtfvW5UQQuSRjNkElaesFeDo6JhpDNSLenj+PAmfz+bOhBASQ8NIzyZJcHd3x8zMjPDw8Ez7KlSowLFjx0hKStK2RUREYGBgQLly5Z47NkdHR+Li4rTn586de+bWpsqVK2cZcwZjY2PS0tKeWk9gYCBbtmzh5MmT/PbbbwQGBuZYJ/DUeg0NDWnYsCHTp0/n+PHjxMTE8Ntvvz01FiGEEOJlkSRNCPFS5TRT4V9//UX79u2xtbXF3t6eFi1aEBMTk+u6nzYr4ZMe7+64a9cuunXrRnx8vDbjYEhICKDf3VFVVUJCQihevDgmJiYUKVKEwYMH5zpGNTmZWwMGcs33Xe7OmUvS4iXEjxtPnJc3SUuXZSpvamrKqFGj+Pjjj1myZAkXLlxg//79fPfddwQGBmJqakrXrl05ceIEO3fuZNCgQXTu3Fkbj/Y83nvvPebPn8/Ro0c5dOgQffv2feZ1xsaMGUNkZCT9+/fn+PHjnDlzhq+//pobN24Aj17TAwcOEBMTw40bN7Jt2atfvz4uLi4EBgZSsmRJatasme05S5QogaIobNq0ievXr+vNcplh06ZNfPHFF0RFRXH58mWWLFlCenr6CyW1QgghRF6TJE0I8VJlN1Phw4cP8ff3x8rKij/++IOIiAgsLS1p3LgxKSkp+R6Xj48Pc+bMwdraWptxMDg4OFO5n376idmzZ7NgwQLOnTvH+vXrqVSpUq7Pc3vUaO5v/PnRk7Q0ePgQVBVSUrgzegz3f/k10zHjxo1jxIgRjB8/ngoVKtChQweuXbuGubk5W7du5datW1SvXp22bdvSoEED5s+f/9yvA8CsWbNwdXWlXr16dOrUieDg4GduSSxbtizbtm3j2LFj1KhRg9q1a7Nhwwatq2JwcDA6nQ4PDw8cHR2JjY3Nsh5FUejYsSPHjh3LsRUNoGjRokycOJHRo0fj7OycaZZLeJS0r127lvfee48KFSrwzTffsHLlSr1JTYQQQoiCJrM7CiFempxmKly2bBnp6el8++23WvfD0NBQbG1t2bVrF40aNcrX2IyNjbGxsUFRlBxnHIyNjcXFxYWGDRtiZGRE8eLFqVGjRq7OkRoby/0ff3qUlGVFUUiYORPTpk30umAaGBgwduxYxo4dm+mQSpUq5dhVL6tWxCcnQUlOTsbS0lJ7XqRIEbZu3apX5vExW25ubpnGrNna2mba5uvrS0RERJZxlS1bNtO6alnVCzBt2jSmTZuWaXtW5ceNG8e4ceP0tu3atUv7uW7dunrPhRBCiFeRtKQJIV6anGYqPHbsGOfPn8fKygpLS0ssLS2xt7fnwYMHXLhwoQCizVq7du24f/8+pUqVolevXqxbt05bG+xpHmzZmnlxucepKqlnz5F2KSZvgn2K5ORkDh06xMmTJ6UlSQghhHiFSEuaEOKlyWnGv8TERLy9vVm+fHmmfY6OjrmqP7ezEr4IV1dXoqOj2bFjB9u3b6d///7MmDGD3bt3P3XcVnpSEhgYQA4zKz4ql3ksVX7YvHkzXbp04YMPPqBt27Yv5ZxCCCGEeDpJ0oQQL83jMxX27NlTb1/VqlX54YcfcHJywtra+rnqf9FZCXM746CZmRkBAQEEBAQwYMAAypcvz59//knVqlVzPM6wVCl4WquboSGGxYrlOuYX0bJlSxISEl7KuYQQQgiRe5KkCSFeSFJyKhsO/83Gw39z424y9pbGfFC1GC2rFcPSVL9l6fGZCo2NjalTpw7Xr1/n5MmTBAYGMmPGDFq0aMGkSZMoVqwYly9fZu3atXz88ccUy0XikjErYe3atUlLS2PUqFHPNCuhm5sbiYmJhIeHU6VKFczNzTNNmBEWFkZaWho1a9bE3NycZcuWYWZmRokSJZ5av1ljf+7Y2qLGx2c9Lk2nw+yDAAzs7HIdsxBCCCHePDImTQjx3G4npdB94T7mbY3m8o0kEpNTib15jy93nCVowX5u3k3OdExOMxX+/vvvFC9enNatW1OhQgV69OjBgwcPct2y9qKzEvr4+NC3b186dOiAo6Mj06dPz1TG1taWRYsWUadOHSpXrsyOHTv4+eefcXBweGr9iokJdnNmg4HyqNvj43Q6DBwdsfnPmFzHK4QQQog3k6JmNZXWaywhIQEbGxvi4+Ofu8uUECJ3Rq08yp7o66Rl8d+IzkChRmkHZn/kXQCRvdqSDx4kYdZsUvbsebTBxATztm2wHjEc3QusbyaEEEIIfa9rbiDdHYUQz+Vq/H1+P3ON7O7ypKWr7Dt3g79v3aOY/bOtsfWmM6lRA8cfVpJ26zbq3QQMnJwwyGFSFSGEEEK8XaS7oxDiuZz6JyHbBO1xJ/++k9+hvLZ09nYYlighCZoQQggh9EiSJoR4LjqDHNb70isn/80IIYQQQjwL+fYkhHguVYrbYviURE1noOBVQmYqFEIIIYR4FpKkCSGei425Mc29ipJdnmaggH/lwjhYmbzcwIQQQgghXnOSpAkhntvQJuXxLvlo6vmMZC3jX88SdoxsVqGAIhPi2fj5+TF06FDtuZubG3PmzMnxmJCQEDw9PfM1LiGEEG8nmd1RCPHcTI10zOnszb5z19l09B+uxj/AydqUZl5FqVPWMdfj1oR41URGRmJhYaE9VxSFdevW0bJlS21bcHAwgwYNKoDohBBCvOkkSRNCvBCdgULdck7ULedU0KEIkSNVVUlLS8PQ8Ol/+hwdHZ9axtLSEktLy7wITQghhNAj3R2FEEI8lZ+fH4MGDWLo0KHY2dnh7OzMokWLSEpKolu3blhZWVGmTBk2b96MqqqUKVOGmTNn6tURFRWFoiicP38egNjYWFq0aIGlpSXW1ta0b9+eq1ev6h3z888/U716dUxNTSlUqBCtWrXS9i1dupRq1aphZWWFi4sLnTp14tq1a9r+Xbt2oSgKmzdvxtvbGxMTE/bs2UNSUhJdunTB0tKSwoULM2vWrEzX+3h3Rzc3NwBatWqFoija8ye7O+7atYsaNWpgYWGBra0tderU4fLly8/7kgshhHiLSZImhBAiVxYvXkyhQoU4ePAggwYNol+/frRr1w4fHx+OHDlCo0aN6Ny5M/fv36d79+6EhobqHR8aGkr9+vUpU6YM6enptGjRglu3brF79262b9/OxYsX6dChg1b+l19+oVWrVjRt2pSjR48SHh5OjRo1tP0PHz5k8uTJHDt2jPXr1xMTE0NQUFCmuEePHs3UqVM5ffo0lStXZuTIkezevZsNGzawbds2du3axZEjR7K97sjISC3+uLg47fnjUlNTadmyJb6+vhw/fpx9+/bRu3dvFEW6/AohhHgO6hsmPj5eBdT4+PiCDkUIId4Yvr6+at26dbXnqampqoWFhdq5c2dtW1xcnAqo+/btU//55x9Vp9OpBw4cUFVVVVNSUtRChQqpYWFhqqqq6rZt21SdTqfGxsZqx588eVIF1IMHD6qqqqq1a9dWAwMDcx1jZGSkCqh3795VVVVVd+7cqQLq+vXrtTJ3795VjY2N1dWrV2vbbt68qZqZmalDhgzRtpUoUUKdPXu29hxQ161bp3e+CRMmqFWqVNHqANRdu3blOl4hhBD573XNDaQlTQghRK5UrlxZ+1mn0+Hg4EClSpW0bc7OzgBcu3aNIkWK0KxZM77//nvgUbfF5ORk2rVrB8Dp06dxdXXF1dVVO97DwwNbW1tOnz4NPOoe2aBBg2zjOXz4MAEBARQvXhwrKyt8fX2BR90oH1etWjXt5wsXLpCSkkLNmjW1bfb29pQrV+7ZXown2NvbExQUhL+/PwEBAcydO5e4uLgXqlMIIcTbS5I0IYQQuWJkZKT3XFEUvW0ZXfvS09MB6NmzJ6tWreL+/fuEhobSoUMHzM3Nc30+MzOzbPclJSXh7++PtbU1y5cvJzIyknXr1gGQkpKiV/bxWRrzU2hoKPv27cPHx4cffviBsmXLsn///pdybiGEEG8WSdKEEELki6ZNm2JhYcHXX3/Nli1b6N69u7avQoUK/PXXX/z111/atlOnTnHnzh08PDyARy134eHhWdZ95swZbt68ydSpU6lXrx7ly5fXmzQkO6VLl8bIyIgDBw5o227fvs3Zs2dzPM7IyIi0tLSn1u/l5cWYMWPYu3cv77zzDitWrHjqMUIIIcSTZAp+IYR4S6Xfuk/asX9R7zxAMTdCV8kJgyLWeVa/TqcjKCiIMWPG4O7uTu3atbV9DRs2pFKlSgQGBjJnzhxSU1Pp378/vr6+WvfECRMm0KBBA0qXLs2HH35Iamoqv/76K6NGjaJ48eIYGxszb948+vbty4kTJ5g8efJTY7K0tKRHjx6MHDkSBwcHnJycGDt2LAYGOd+zdHNzIzw8nDp16mBiYoKdnZ3e/kuXLrFw4UI++OADihQpQnR0NOfOnaNLly7P8coJIYR420lLmhBCvGVUVeVh+EVS5h8gbc9l0k9cJS3yH1K+PULK6hOoqU9vMcqtHj16kJKSQrdu3fS2K4rChg0bsLOzo379+jRs2JBSpUrxww8/aGX8/PxYs2YNGzduxNPTk/fee4+DBw8Cj9YxCwsLY82aNXh4eDB16tRMU/5nZ8aMGdSrV4+AgAAaNmxI3bp18fb2zvGYWbNmsX37dlxdXfHy8sq039zcnDNnztCmTRvKli1L7969GTBgAH369MlVTEIIIcTjFFVV1YIOIi8lJCRgY2NDfHw81tZ5d0dYCCHeFKkH/iZ16/msdypgUMUF4w/K58m5/vjjDxo0aMBff/2lTSwihBBCvCyva24gLWlCCPEWUdPTSd2TwwLLKqQf+xc1IfmFzpOcnMzff/9NSEgI7dq1kwRNCCGEeAaSpAkhxFtEvZIISQ+fUgjSzt18ofOsXLmSEiVKcOfOHaZPn/5CdQkhhBBvG0nShBDiLZKr8WYKkJr+QucJCgoiLS2Nw4cPU7Ro0ReqSwghhHjbSJImhBBvEYNCFo+SsJyooDi9nLXFhBBCCJGZJGlCCPEWUSyNMShfKPtETQHFzhQDN9uXGZYQQgghHiNJmhBCvGWMGruDlUnmRM0AMDTAqLUHivK05jYhhBBC5BdJ0oQQ4i2jWJlg0ssbXc1iYKJ7tNFAweAdZ4x7eWNQ9PWZolgIIYR4ExkWdABCCCFePsXCGKNGZTBsWBpS0sDIAEUn9+2EEEKIV4EkaUII8RZTDBQwlT8FQgghxKtEbpsKIYQQQgghxCtEkjQhhBBCCCGEeIVIkiaEEEIIIYQQrxBJ0oQQQgghhBDiFSJJmhBCCCGEEEK8QiRJE0IIIYQQQohXiCRpQgghhBBCCPEKkSRNCCGEEOIZBAUF0bJlyxzL7Nq1C0VRuHPnzkuJSQjxZpEkTQghhBB5JiYmBkVRiIqKKuhQNGFhYdja2uZZfXPnziUsLEx77ufnx9ChQ/XK+Pj4EBcXh42NTZ6dVwjx9jAs6ACEEEII8fZJSUnB2Ni4oMN4JmlpaSiKkqvEy9jYGBcXl5cQlRDiTSQtaUIIIcRb5u7duwQGBmJhYUHhwoWZPXu2XmvQ0qVLqVatGlZWVri4uNCpUyeuXbumHX/79m0CAwNxdHTEzMwMd3d3QkNDAShZsiQAXl5eKIqCn58f8L8ugp9++ilFihShXLlyAPz555+89957mJmZ4eDgQO/evUlMTNSL99tvv6VChQqYmppSvnx5vvrqK21fRsvd2rVreffddzE3N6dKlSrs27cPeNTtsFu3bsTHx6MoCoqiEBISAkBycjLBwcEULVoUCwsLatasya5du7S6M1rgNm7ciIeHByYmJsTGxup1dwwKCmL37t3MnTtXqz8mJiZTd8fLly8TEBCAnZ0dFhYWVKxYkV9//fWF30shxJtJWtKEEEKIt8zw4cOJiIhg48aNODs7M378eI4cOYKnpycADx8+ZPLkyZQrV45r164xfPhwgoKCtKRi3LhxnDp1is2bN1OoUCHOnz/P/fv3ATh48CA1atRgx44dVKxYUa+1LDw8HGtra7Zv3w5AUlIS/v7+1K5dm8jISK5du0bPnj0ZOHCg1p1w+fLljB8/nvnz5+Pl5cXRo0fp1asXFhYWdO3aVat77NixzJw5E3d3d8aOHUvHjh05f/48Pj4+zJkzh/HjxxMdHQ2ApaUlAAMHDuTUqVOsWrWKIkWKsG7dOho3bsyff/6Ju7s7APfu3WPatGl8++23ODg44OTkpPdazp07l7Nnz/LOO+8wadIkABwdHYmJidErN2DAAFJSUvj999+xsLDg1KlTWhxCCPEkSdKEEEKIt8jdu3dZvHgxK1asoEGDBgCEhoZSpEgRrUz37t21n0uVKsUXX3xB9erVSUxMxNLSktjYWLy8vKhWrRoAbm5uWnlHR0cAHBwcMnX3s7Cw4Ntvv9USt0WLFvHgwQOWLFmChYUFAPPnzycgIIBp06bh7OzMhAkTmDVrFq1btwYetdSdOnWKBQsW6CVpwcHBNGvWDICJEydSsWJFzp8/T/ny5bGxsUFRFL14YmNjCQ0NJTY2Vrv24OBgtmzZQmhoKJ999hnwKGH96quvqFKlSpavp42NDcbGxpibm+fYvTE2NpY2bdpQqVIl7XUVQojsSJImhBBCvEUuXrzIw4cPqVGjhrbNxsZG634IcPjwYUJCQjh27Bi3b98mPT0deJRoeHh40K9fP9q0acORI0do1KgRLVu2xMfH56nnrlSpkl7L2unTp6lSpYqWoAHUqVOH9PR0oqOjsbS05MKFC/To0YNevXppZVJTUzONC6tcubL2c+HChQG4du0a5cuXzzKWP//8k7S0NMqWLau3PTk5GQcHB+25sbGxXt3Pa/DgwfTr149t27bRsGFD2rRpkyf1CiHeTJKkCSGEEEKT0QXR39+f5cuX4+joSGxsLP7+/qSkpADQpEkTLl++zK+//sr27dtp0KABAwYMYObMmTnW/XgylhsZY9MWLVpEzZo19fbpdDq950ZGRtrPiqIAaMlldnXrdDoOHz6cqa7HuyGamZlp9b2Inj174u/vzy+//MK2bduYMmUKs2bNYtCgQS9ctxDizSMThwghhBCvOVVVuXLlCvv37yciIoLo6GhSU1OzLFuqVCmMjIyIjIzUtsXHx3P27FkAzpw5w82bN5k6dSr16tWjfPnyepOGZHB0dKRr164sW7aMOXPmsHDhQgCtpSwtLe2pcVeoUIFjx46RlJSkbYuIiMDAwIBy5crh7OxMkSJFuHjxImXKlNF7ZExQkhvGxsaZ4vHy8iItLY1r165lqvtZZ2XMqv6suLq60rdvX9auXcuIESNYtGjRM51HCPH2kJY0IYQQ4jV27949tmzZwo0bN7TZBdPT09m3bx8NGzakWLFieuWtrKzo2rUrI0eOxN7eHicnJyZMmICBgQGKolC8eHGMjY2ZN28effv25cSJE0yePFmvjvHjx+Pt7U3FihVJTk5m06ZNVKhQAQAnJyfMzMzYsmULxYoVw9TUNNsp6wMDA5kwYQJdu3YlJCSE69evM2jQIDp37oyzszPwaHzZ4MGDsbGxoXHjxiQnJ3Po0CFu377N8OHDc/Uaubm5kZiYSHh4OFWqVMHc3JyyZcsSGBhIly5dmDVrFl5eXly/fp3w8HAqV66sjW/Lbf0HDhwgJiYGS0tL7O3tM5UZOnQoTZo0oWzZsty+fZudO3dqr5kQQjxJWtKEEEKI11R6ejq//PILN2/eBB61qGV08UtJSWHLli3cunUr03Gff/45tWvXpnnz5jRs2JA6depoU9w7OjoSFhbGmjVr8PDwYOrUqZm6MRobGzNmzBgqV65M/fr10el0rFq1CgBDQ0O++OILFixYQJEiRWjRokW28Zubm7N161Zu3bpF9erVadu2LQ0aNGD+/PlamZ49e/Ltt98SGhpKpUqV8PX1JSws7Jla0nx8fOjbty8dOnTA0dGR6dOnA48mTOnSpQsjRoygXLlytGzZksjISIoXL57ruuHRhCM6nQ4PDw+te+iT0tLSGDBgABUqVKBx48aULVtWbykBIYR4nKKqqlrQQeSlhIQEbGxsiI+Px9rauqDDEUKIAuXm5sbQoUO19a+yEhISwvr164mKinppcYm8ERMTw7Zt27LdrygKZcqU4d13382xnqSkJIoWLcqsWbPo0aNHXocphBAF5nXNDaQlTQghXiMZC/fmNqGKjIykd+/e2nNFUVi/fr1emeDgYMLDw/MwSvGyXLx4McdJLVRV5eLFizx5P/bo0aOsXLmSCxcucOTIEQIDAwFybPUSQgjx8siYNCGEeAOlpKRgbGysrVmVE0tLS1lU9zWVmpqaKQF7UnYTWsycOZPo6GiMjY3x9vbmjz/+oFChQvkRphBCiGckLWlCCJHH7t69S2BgIBYWFhQuXJjZs2fj5+endTlcunQp1apVw8rKChcXFzp16qQ3e97t27cJDAzE0dERMzMz3N3dCQ0NBdDG4Xh5eaEoCn5+fgAEBQXRsmVLPv30U4oUKaKteeXm5sacOXO0nwFatWqFoija85CQEDw9PbXz79q1ixo1amBhYYGtrS116tTh8uXL+fNiiRdia2v71Onhra2tM5Xx8vLi8OHDJCYmcuvWLbZv364tsiyEEKLgSUuaEELkseHDhxMREcHGjRtxdnZm/PjxHDlyREuEHj58yOTJkylXrhzXrl1j+PDhBAUF8euvvwIwbtw4Tp06xebNmylUqBDnz5/n/v37ABw8eJAaNWqwY8cOKlasqLcwcHh4ONbW1mzfvj3LuCIjI3FyciI0NJTGjRtnWhsKHrXMtGzZkl69erFy5UpSUlI4ePBgnqwTJfJe+fLln9r1tWLFii8nGCGEEHlGkjQhhMhDd+/eZfHixaxYsYIGDRoAj2aQK1KkiFame/fu2s+lSpXiiy++oHr16iQmJmJpaUlsbCxeXl5Uq1YN+F8LGKB1X3RwcMi0lpOFhQXffvutXuL2uIxjbW1ts10HKiEhgfj4eJo3b07p0qUBZJrwV5i1tTU1a9bkwIEDmfYpioKzszMeHh4FEJl4Gj8/Pzw9PbWWbiGEeFy+dnd0c3PT1mzJeEydOjVXx6qqSpMmTbIc5C6EEK+qixcv8vDhQ2rUqKFts7Gx0bofAhw+fJiAgACKFy+OlZUVvr6+ANq03f369WPVqlV4enry8ccfs3fv3lydu1KlStkmaLllb29PUFAQ/v7+BAQEMHfuXOLi4l6oTpG/qlSpQsOGDfXGk5mamuLl5UXTpk2zbDEVQgjxasv3lrRJkybRq1cv7bmVlVWujpszZ450rxFCvHGSkpLw9/fH39+f5cuXa2sq+fv7k5KSAkCTJk24fPkyv/76K9u3b6dBgwYMGDAg01pVT7KwsMiTGENDQxk8eDBbtmzhhx9+4JNPPmH79u3UqlUrT+oXea9UqVKUKlWK+/fvk5aWhrm5OQYGMuz8bZIxWZAQ4s2Q7/+DZwyMz3jk5ktEVFQUs2bN4vvvv8/v8IQQ4qlUVSUuLo7jx49z8uRJEhISsi1bqlQpjIyMiIyM1LbFx8dz9uxZAM6cOcPNmzeZOnUq9erVo3z58nqThmRwdHSka9euLFu2jDlz5rBw4UIA7UtYdjP2PY2RkVGujvXy8mLMmDHs3buXd955hxUrVjzX+cTLZWZmhqWlpSRor4n09HQ+/vhj7O3tcXFxISQkRNt3584devbsiaOjI9bW1rz33nscO3ZM258x4c+3335LyZIlMTU1BR51oxw4cCADBw7ExsaGQoUKMW7cOL1ZQJOTkwkODqZo0aJYWFhQs2ZNdu3ape2/fPkyAQEB2NnZYWFhQcWKFbUxs0KIlyPfW9KmTp3K5MmTKV68OJ06dWLYsGEYGmZ/2nv37tGpUye+/PLLbMdMPC45OZnk5GTteU5fnoQQ4lndunWLHTt2cOfOHRRF0b7olCxZEl9f30x3rq2srOjatSsjR47E3t4eJycnJkyYgIGBAYqiULx4cYyNjZk3bx59+/blxIkTTJ48Wa+O8ePH4+3tTcWKFUlOTmbTpk3auDAnJyfMzMzYsmULxYoVw9TUFBsbm1xfj5ubG+Hh4dSpUwcTExPs7Oz09l+6dImFCxfywQcfUKRIEaKjozl37hxdunR5npdPCJGDxYsXM3z4cA4cOMC+ffsICgqiTp06vP/++7Rr1w4zMzM2b96MjY0NCxYsoEGDBpw9exZ7e3sAzp8/z08//cTatWv1urUuXryYHj16cPDgQQ4dOkTv3r0pXry41rNp4MCBnDp1ilWrVlGkSBHWrVtH48aN+fPPP3F3d2fAgAGkpKTw+++/Y2FhwalTp2SZDiFesny91TZ48GBWrVrFzp076dOnD5999hkff/xxjscMGzYMHx+fXC+oOWXKFGxsbLSHq6trXoQuhBAkJiayceNG4uPjAfTuRMfExLB169Ys16j6/PPPqV27Ns2bN6dhw4bUqVOHChUqYGpqiqOjI2FhYaxZswYPDw+mTp2aqRujsbExY8aMoXLlytSvXx+dTseqVasAMDQ05IsvvmDBggUUKVLkmRcfnjVrFtu3b8fV1RUvL69M+83NzTlz5gxt2rShbNmy9O7dmwEDBtCnT59nOo8Q4ukqV67MhAkTcHd3p0uXLlSrVo3w8HD27NnDwYMHWbNmDdWqVcPd3Z2ZM2dia2vLjz/+qB2fkpLCkiVL8PLyonLlytp2V1dXZs+eTbly5QgMDGTQoEHMnj0beDT2NTQ0lDVr1lCvXj1Kly5NcHAwdevW1Zb6iI2NpU6dOlSqVIlSpUrRvHlz6tev/3JfHCHecor6tFUwnzB69GimTZuWY5nTp09Tvnz5TNu///57+vTpQ2JiIiYmJpn2b9y4kREjRnD06FHtjo2iKKxbt46WLVtmea6sWtJcXV2Jj4/H2tr6Ga5MCCH07d27l5MnT+a4WHDTpk0pVqxYjvUkJSVRtGhRZs2aRY8ePfI6TCHEa8jPz4+KFSvy5ZdfattatGiBg4MD3t7eDB48GDMzM71j7t+/T3BwMNOmTSMkJITly5dz7ty5TPWWKlVKb8jIhg0baNu2LQ8ePGDLli00b9480/CT5ORkWrduzQ8//MC3335Lv379qFGjBg0bNqRNmzZ6SaAQr5OEhARsbGxeu9zgmbs7jhgxgqCgoBzLlCpVKsvtNWvWJDU1lZiYGL2ZzjL89ttvXLhwAVtbW73tbdq0oV69enr9pTOYmJhkmfAJIcSLOnv2bI4JmqIonD9/PlOSdvToUc6cOUONGjWIj49n0qRJAM/c6iWEeLMZGRnpPVcUhfT0dBITEylcuHCW33se/470PJMFJSYmotPpOHz4cKaZPzNukPfs2RN/f39++eUXtm3bxpQpU5g1axaDBg165vMJIZ7PMydpjo6O2lo7zyoqKgoDAwOcnJyy3D969Gh69uypt61SpUrMnj2bgICA5zqnEEI8D1VVtdkWcyrz4MGDLPfNnDmT6OhojI2N8fb25o8//tCbIl0I8ea5eTeZHSf+5fa9FJytTWn4jgtWZkZPP/AJVatW5d9//8XQ0FBvncTcenLdvP379+Pu7o5Op8PLy4u0tDSuXbtGvXr1sq3D1dWVvn370rdvX8aMGcOiRYskSRPiJcq3iUP27dvHgQMHePfdd7GysmLfvn0MGzaMjz76SBuo/s8//9CgQQOWLFlCjRo1tBkgn1S8eHFKliyZX6EKIUQmiqJgYWFBUlJSjmWyGkzv5eXF4cOH8zM8IcQrJD1d5ZvwcyyLuIQK6BSFtHSVzzefYWCjsnSoVeKZ6mvYsCG1a9emZcuWTJ8+nbJly3LlyhV++eUXWrVqpS10n53Y2FiGDx9Onz59OHLkCPPmzWPWrFkAlC1blsDAQLp06cKsWbPw8vLi+vXrhIeHU7lyZZo1a8bQoUNp0qQJZcuW5fbt2+zcuVMWtRfiJcu3JM3ExIRVq1YREhJCcnIyJUuWZNiwYQwfPlwr8/DhQ6Kjo7l3715+hSGEEM+tQoUKHD58ONsuj6qqZjn+Vgjxdvl+9wWW7LmkPU/9//8zHqalM3vzGSxMDGnuVTTX9SmKwq+//srYsWPp1q0b169fx8XFhfr16+Ps7PzU47t06cL9+/epUaMGOp2OIUOG0Lt3b21/aGgo//3vfxkxYgT//PMPhQoVolatWjRv3hx4tMTHgAED+Pvvv7G2tqZx48baxCNCiJfjmScOedW9roMDhRCvnpSUFNavX098fHyWiVqFChVy7C4khHjkaZOAvc4SHzyk6YxdpKSmZ1vG0cqE9cN90Rko+R6Pn58fnp6ezJkzJ9/PJcTr4HXNDWS1SyGEyIaxsTEffPAB7u7ueosDm5qaUqNGDerWrVuA0Qnx6nvauM43wd5zN3JM0ACu303m5N93Xk5AQog3giRpQgiRA1NTU/z8/Pjoo48ICAigZcuWBAYG4unpiaLk/11xIfLTpk2bsLW1JS0tDXg0wZeiKIwePVor07NnTz766CNu3rxJx44dKVq0KObm5lSqVImVK1fq1efn58fAgQMZOnQohQoVwt/fX5v4olWrViiKoj0/duyYNm7d2toab29vDh069FKuOy8lPkjNXbnk3JUTQgjIxzFpQgjxJjE1NaVw4cIFHYYQeapevXrcvXuXo0ePUq1aNXbv3k2hQoX0pn7fvXs3o0aN4sGDB3h7ezNq1Cisra355Zdf6Ny5M6VLl6ZGjRpa+cWLF9OvXz8iIiIAsLe3x8nJidDQUBo3bqxN+x4YGIiXlxdff/01Op2OqKioTFPSvw5cHcxzVa6YXe7Kvaispu0XQrx+JEkTQggh3lI2NjZ4enqya9cuqlWrxq5duxg2bBgTJ04kMTGR+Ph4zp8/j6+vL0WLFiU4OFg7dtCgQWzdupXVq1frJWnu7u5Mnz4907lsbW31ZnCOjY1l5MiR2uQ77u7u+Xil+cfbzR4XG1OuJjwgq1H+BgpUdrWleKFnX9NMCPH2ku6O4o3h5+fH0KFDCzqMfBMSEoKnp2dBhyGEeMP4+vqya9cuVFXljz/+oHXr1lSoUIE9e/awe/duihQpgru7O2lpaUyePJlKlSphb2+PpaUlW7duJTY2Vq8+b2/vXJ13+PDh9OzZk4YNGzJ16lQuXLiQH5eX7wwMFD5p+Q4GisKT84LoFAVTIx3BzT0KJjghxGtLkjQhXhPBwcGEh4cXdBhCiDeMn58fe/bs4dixYxgZGVG+fHn8/PzYtWsXu3fvxtfXF4AZM2Ywd+5cRo0axc6dO4mKisLf3z/T5CAWFrlrMQoJCeHkyZM0a9aM3377DQ8PD9atW5fn1/cyVCvlwDfda+BZwl7bpijgU7YQ3/WuRRlnqwKM7vWiKArr16/P0zpzc5MzJiYGRVGIiorK03ML8byku6MQ+SgtLQ1FUfRmBnxelpaWWS6cLIQQT4q9kcSes9d5mJqOu4sVNcsUynb694xxabNnz9YSMj8/P6ZOncrt27cZMWIEABEREbRo0YKPPvoIgPT0dM6ePYuHx9NbiYyMjLTJSR5XtmxZypYty7Bhw+jYsSOhoaG0atXqeS+7QFVyteWrbtW5nvCAO/ceUsjKBDsL44IO67UTFxeHnZ1dntYZHBzMoEGDtOdBQUHcuXNHLxl0dXUlLi6OQoUK5em5hXhe0pIm3ijp6el8/PHH2Nvb4+LiQkhICADdu3fXFunM8PDhQ5ycnPjuu++A/81KNnDgQGxsbChUqBDjxo3TWx8rOTmZ4OBgihYtioWFBTVr1tQbpB0WFoatrS0bN27Ew8MDExMTYmNjuX37Nl26dMHOzg5zc3OaNGnCuXPnMh23fv163N3dMTU1xd/fn7/++ksr8+SdwMjISN5//30KFSqEjY0Nvr6+HDlyJA9fTSHE6yYpOZVRK4/Sft4e5m+LZuHO8wxffoTWs3/nxF93sjzGzs6OypUrs3z5cvz8/ACoX78+R44c4ezZs1ri5u7uzvbt29m7dy+nT5+mT58+XL16NVdxubm5ER4ezr///svt27e5f/8+AwcOZNeuXVy+fJmIiAgiIyOpUKFCXrwMBcrR2hR3FytJ0J6Ti4sLJiYmeVqnpaUlDg4OOZbR6XS4uLhgaCjtF+LVIEnaG+hVH7uUn10KFi9ejIWFBQcOHGD69OlMmjSJ7du307NnT7Zs2UJcXJxWdtOmTdy7d48OHTroHW9oaMjBgweZO3cun3/+Od9++622f+DAgezbt49Vq1Zx/Phx2rVrR+PGjfUSrnv37jFt2jS+/fZbTp48iZOTE0FBQRw6dIiNGzeyb98+VFWladOmPHz4UO+4Tz/9lCVLlhAREcGdO3f48MMPs73Wu3fv0rVrV/bs2cP+/ftxd3enadOm3L17N69eTiHEa0RVVUatPMof0dcASFchLf3RTabrdx8wcHEkl28kZXmsr68vaWlpWpJmb2+Ph4cHLi4ulCtXDoBPPvmEqlWr4u/vj5+fHy4uLrlenHrWrFls374dV1dXvLy80Ol03Lx5ky5dulC2bFnat29PkyZNmDhx4ou9CCLP+Pn5MWjQIIYOHYqdnR3Ozs4sWrSIpKQkunXrhpWVFWXKlGHz5s3aMSdOnKBJkyZYWlri7OxM586duXHjhl6dgwcPzvJmaobHuztmfF9Yu3Yt7777Lubm5lSpUoV9+/bpHbNo0SJcXV0xNzenVatWfP7559ja2mr7H/9eFBISwuLFi9mwYQOKoqAoCrt27cr03eT27dsEBgbi6OiImZkZ7u7uhIaG5tnrK8RTqW+Y+Ph4FVDj4+MLOpSXAlDXrVunt+3u3bvqjRs3CiagJ3Tt2lVt0aKF3rbU1FQ1Li5OffjwYZ6ey9fXV61bt67eturVq6ujRo1SVVVVPTw81GnTpmn7AgIC1KCgIL3jK1SooKanp2vbRo0apVaoUEFVVVW9fPmyqtPp1H/++UfvHA0aNFDHjBmjqqqqhoaGqoAaFRWl7T979qwKqBEREdq2GzduqGZmZurq1av1jtu/f79W5vTp0yqgHjhwQFVVVZ0wYYJapUqVbK8/LS1NtbKyUn/++eccXiUhxJvq0MWbas3xW7J9+IRsVSev+7OgwxSvCV9fX9XKykqdPHmyevbsWXXy5MmqTqdTmzRpoi5cuFA9e/as2q9fP9XBwUFNSkpSb9++rTo6OqpjxoxRT58+rR45ckR9//331XfffVevTmtrazUkJEQ9e/asunjxYlVRFHXbtm1amce/11y6dEkF1PLly6ubNm1So6Oj1bZt26olSpTQvkPs2bNHNTAwUGfMmKFGR0erX375pWpvb6/a2NhodT7+9/Pu3btq+/bt1caNG6txcXFqXFycmpycrJ3r6NGjqqqq6oABA1RPT081MjJSvXTpkrp9+3Z148aN+fqai/zxuuYG0pL2BspNs35Bys8uBZUrV9Z7XrhwYa5de3RXuWfPntpdsKtXr7J582a6d++uV75WrVp6CxTXrl2bc+fOkZaWxp9//klaWhply5bVxodZWlqye/duvVnJjI2N9eI4ffo0hoaG1KxZU9vm4OBAuXLlOH36tLbN0NCQ6tWra8/Lly+Pra2tXpnHXb16lV69euHu7o6NjQ3W1tYkJiZmmmlNCPF22P5nXLbjzuBRq9rW43F6XbiFyEmVKlX45JNPcHd3Z8yYMZiamlKoUCHtb8/48eO5efMmx48fZ/78+Xh5efHZZ59Rvnx5vLy8+P7779m5cydnz57V6qxcuTITJkzA3d2dLl26UK1atadOihUcHEyzZs0oW7YsEydO5PLly5w/fx6AefPm0aRJE4KDgylbtiz9+/enSZMm2dZlaWmJmZkZJiYmuLi44OLigrFx5q6psbGxeHl5Ua1aNdzc3GjYsCEBAQHP+UoK8ewkSXsFbNmyhbp162Jra4uDgwPNmzfXvvSnpKQwcOBAChcujKmpKSVKlGDKlCnAoz7+AK1atUJRFO35k90dU1NTGTx4sFb/qFGj6Nq1q143lefp1pCWlkaPHj0oWbIkZmZmlCtXjrlz52r786JLQUbZ1atXU69ePczMzKhevTpnz54lMjKSatWqYWlpSZMmTUhJScm0EKqiKKSnpwPQpUsXLl68yL59+1i2bBklS5akXr16uX6fEhMT0el0HD58mKioKO1x+vRpves2MzPTS/TyS9euXYmKimLu3Lns3buXqKgoHBwcMs20JoR4O9x98JD0pyRgD9PSSUlNf0kRidfd4zccdTodDg4OVKpUSdvm7OwMwLVr1zh27Bg7d+7Uu4mZsQbe4zcyc7qZmps4ChcurJ0TIDo6Wm+dPiDT8+fRr18/Vq1ahaenJx9//DF79+594TqFeBaSpL0CkpKSGD58OIcOHSI8PBwDAwNatWpFeno6X3zxBRs3bmT16tVER0ezfPlyLRmLjIwEIDQ0lLi4OO35k6ZNm8by5csJDQ0lIiKChISELKe3Xbx4MYUKFeLgwYMMGjSIfv360a5dO3x8fDhy5AiNGjWic+fO3Lt3D3g0SUexYsVYs2YNp06dYvz48fznP/9h9erVwKM7X+3bt6dx48bExcURFxeHj49PpvOOGzeOU6dOsXnzZk6fPs3XX3+daXal8aNGMapNGyJ/+w1DQ0M6derExx9/zNy5c/njjz84f/48MTExOb7ODg4OtGzZktDQUMLCwujWrVumMgcOHNB7njHWS6fT4eXlRVpaGteuXaNMmTJ6j8cXaH1ShQoVSE1N1av75s2bREdH682KlpqayqFDh7Tn0dHR3LlzJ9uB9BEREQwePJimTZtSsWJFTExM9Pr+CyHeLkXszDF4yg0iW3MjjA3lT7/InaxufD6+LeOGZHp6OomJiQQEBOjdxIyKiuLcuXPUr18/xzozbqbmJo7Hz5mfmjRpwuXLlxk2bBhXrlyhQYMGeou5C5HfZAqbV0CbNm30nn///fc4Ojpy6tQpYmNjcXd3p27duiiKQokSJbRyjo6OANja2uaYJMybN48xY8Zo0xrPnz+fX3/9NVO5jG4NAGPGjGHq1KlatwaA8ePH8/XXX3P8+HFq1aqFkZGR3iDvkiVLsm/fPlavXk379u21LgXJyck5xvd4lwL4XwuhqqokLl8OQM/b8XjNmAU6HT0qlKPXtm2Eh4dTp04dAHr06MGkSZOyPUeGnj170rx5c9LS0ujatWuWsQwfPpw+ffpw5MgR5s2bx6xZs4BHU0UHBgbSpUsXZs2ahZeXF9evXyc8PJzKlSvTrFmzLM/p7u5OixYt6NWrFwsWLMDKyorRo0dTtGhRWrRooZUzMjJi0KBBfPHFFxgaGjJw4EBq1aqV7R1Bd3d3li5dSrVq1UhISGDkyJGYmZk99TUQQryZAqoWZemeS9nuN1CgdXXXl9LSL94+VatW5aeffsLNze2lzpBYrly5TDeps7tpncHY2DjLJSGe5OjoSNeuXenatSv16tVj5MiRzJw584XiFSK35HbaK+DcuXN07NiRUqVKYW1trSUpsbGxBAUFERUVRbly5Rg8eDDbtm17prrj4+O5evWq3hd9nU6Ht7d3prLP0q0hw5dffom3tzeOjo5YWlqycOHCZx4TlV2XgviQiSR+MR+AChl30dLSsD56DICKxYvrxfb4TInZadiwIYULF8bf358iRYpk2t+lSxfu379PjRo1GDBgAEOGDKF3797a/tDQULp06cKIESMoV64cLVu2JDIykuKPxZKV0NBQvL29ad68ObVr10ZVVX799Ve9u4Pm5uaMGjWKTp06UadOHSwtLfnhhx+yrfO7777j9u3bVK1alc6dOzN48GCcnJye+hoIId5MxR0sCKpfKst9BoqCq4MFnXzcXm5Q4hWSDPwEfAQ0BNoBS4C8mRF4wIAB3Lp1i44dOxIZGcmFCxfYunUr3bp1y1VC9LwGDRrEr7/+yueff865c+dYsGABmzdvzvFmhJubG8ePHyc6OpobN25k+f1h/PjxbNiwgfPnz3Py5Ek2bdr0RiwRIV4fkqS9AgICArh16xaLFi3iwIEDWre4lJQUqlatyqVLl5g8eTL379+nffv2tG3bNl/ieJZuDQCrVq0iODiYHj16sG3bNqKioujWrdszj4nKqkvB8O7dSfr2u//F9tj/tUr6o//sk1es1IvNwsKCOXPm6NW9fv16wsLCtOdJSUncvn2bHj16ZBmLkZERX3/9NfHx8dy6dYtPP/1U7z/6jNbDS5cukZKSwpUrV1i7dq2WzGYskPkkOzs7lixZwp07d7h37x5btmzB3d09U7nWrVtz4cIFHjx4wPbt2/WSv5CQEL1lC7y8vIiMjOT+/fucPXuWtm3bEhMTw9ChQ7O8NiHEm6/Pe2UY1dwDZ2tTbZuRTqGZZxEW9qiBpalRDkeLN1ci0AuYAkQDd4BLwDwgEMjdenc5KVKkCBEREaSlpdGoUSMqVarE0KFDsbW1xcAg/75u1qlTh2+++YbPP/+cKlWqsGXLFoYNG4apqWm2x/Tq1Yty5cpRrVo1HB0diYiIyFTG2NiYMWPGULlyZerXr49Op2PVqlX5dh1CPEm6OxawjLFJixYt0iax2LNnj14Za2trOnToQIcOHWjbti2NGzfm1q1b2NvbY2RklOMdKhsbG5ydnYmMjNT6hKelpXHkyJEXXkstIiICHx8f+vfvr217fHAwvECXgsGDGeFcGFJTsz3m3urVMH5crmJNT0/nxo0bzJo1C1tbWz744INcHSeEEK8TRVFoVd2VD7yLcel6Iimp6bjam2NlJsnZ2202cOb/f358chmVRwnaJ8AivSN27dqVqZasxn4/Pluou7s7a9euzTaKrOp8coz84/W5ubllmo3U1tY207ZevXppQzMynpcpU0Z7HhISorcem6OjY5Y9kx6v95NPPtGGgAhRECRJyyfJkYdIWr6c1HPnMbC1weyDDzBv8QHKE3d27OzscHBwYOHChRQuXJjY2FhGjx6t7f/8888pXLgwXl5eGBgYsGbNGlxcXLRFGt3c3LSxWSYmJtjZ2WWKZdCgQUyZMoUyZcpQvnx55s2bx+3bt194XIK7uztLlixh69atlCxZkqVLlxIZGUnJkiW1Mm5ubmzdupXo6GgcHBywsbHJVM/48ePx9vamYsWKJCcns2nTJtxtbOApg4LTb95CffgQxejpXz5iY2MpWbIkxYoVIyws7KX2lxdCiJdNZ6BQxtmqoMMQr4Q7wC9Adn9T04CjwHmgTDZlXm0zZ87k/fffx8LCgs2bN7N48WK++uqrgg5LiBci31TzmKqq3Bn7CfcWLwGdDtLSwMCA5F27uTtvPo5rfkD3/9PHAhgYGLBq1SoGDx7MO++8Q7ly5fjiiy/w8/MDwMrKiunTp3Pu3Dl0Oh3Vq1fn119/1boOzJo1i+HDh7No0SKKFi2a5V2uUaNG8e+//9KlSxd0Oh29e/fG398fnU73Qtfap08fjh49SocOHVAUhY4dO9K/f3+9afp79erFrl27qFatGomJiezcuVMbc5cho0tBTEwMZmZm1KtXj+9atoItW3M8v2JmBrlMtrK6G/ekrO7wvSxBQUEEBQUV2PmFEEK8qaKB7Hul/M9xXtck7eDBg0yfPp27d+9SqlQpvvjiC3r27FnQYQnxQhT1DVvVMiEhARsbG+Lj47G2tn7p50/8PpT4ceOz3qnTYfRORRx/2VSgs2ulp6dToUIF2rdvz+TJkwssjpwk79vHjbbtsy+g02ER2AnbKZ+9vKCEEEKI104k0C8X5T4BWuZvKEIUgILODZ6XTBySh9S0NO5+9XX2BdLSeHjsOCmPrYX1Mly+fJlFixZx9uxZ/vzzT/r168elS5fo1KnTS43jWRjXqoVJ/XqQ1WBjnQ7F3BzLvn1efmBCCCHEa8UDMMlFuWr5HYgQ4hlIkpaHUmMukx4Xl3MhnY7kP/bkXCaPGRgYEBYWRvXq1alTpw5//vknO3bseKWnklUUBfvvvsUsoDkoyqPH/ydshiVKUOjHNRg+tmacEEIIIbJiAbQFsuvBowPqA8VeWkRCiKeTMWl5KT0X64AoSo4zFuYHV1fXLKeXfdUZmJtj/9WXpI4ZTfLOXajJyRi9UxHjWrVkMVYhhBAi1wYAMUAEj5KyNB7dp08H3IEJBRaZECJrkqTlIcPixVFsbFDj47MvlJqKcdWqLy+oN4ChqyuGXToXdBhCCCHEa8qYR9PwRwDrgSuAA9AcaADIEg1CvGokSctDiokJll27cHf+l1lPH6/ToStcGJN3/V52aEIIIYR4qxkA9f7/IYR41cmYtDxmNXQIJj4+j548PumFTodiaYnD99+hvODU90IIIYQQQog3lyRpeUwxMcFh2RJsZ83AqNI7KFZW6AoXxrJfX5zDt2NU0aOgQxRCCCGEEEK8wmSdNCGEEEIIIcQb6XXNDaQlTQghhBBCCCFeIZKkCSGEEEIIIcQrRJI0IYQQQgghhHiFSJImhBCvgS1btlC3bl1sbW1xcHCgefPmXLhwQdv/999/07FjR+zt7bGwsKBatWocOHAAgJCQEDw9PVm6dClubm7Y2Njw4YcfcvfuXe349PR0pkyZQsmSJTEzM6NKlSr8+OOPL/06hRBCCCFJmhBCvBaSkpIYPnw4hw4dIjw8HAMDA1q1akV6ejqJiYn4+vryzz//sHHjRo4dO8bHH39M+mPrNV64cIH169ezadMmNm3axO7du5k6daq2f8qUKSxZsoRvvvmGkydPMmzYMD766CN2795dEJcrhBBCvNVkdkchhHgN3bhxA0dHR/7880/27t1LcHAwMTEx2NvbZyobEhLCjBkz+Pfff7GysgLg448/5vfff2f//v0kJydjb2/Pjh07qF27tnZcz549uXfvHitWrHhp1yWEEOLt4Ofnh6enJ3PmzMlV+TNnzhAUFERUVBTly5dn/fr1lCxZkqNHj+Lp6Zntca9rbmBY0AEIIYR4unPnzjF+/HgOHDjAjRs3tFay2NhYoqKi8PLyyjJBy+Dm5qYlaACFCxfm2rVrAJw/f5579+7x/vvv6x2TkpKCl5dXPlyNEEKIt93atWsxMjLKdfkJEyZgYWFBdHQ0lpaWel3230SSpAkhxGsgICCAEiVKsGjRIooUKUJ6ejrvvPMOKSkpmJmZPfX4J/8QKoqiJXqJiYkA/PLLLxQtWlSvnImJSR5dgRBCCPE/Od1YzMqFCxdo1qwZJUqUAHjjkzQZkyaEEK+4mzdvEh0dzSeffEKDBg2oUKECt2/f1vZXrlyZqKgobt269Vz1e3h4YGJiQmxsLGXKlNF7uLq65tVlCCGEEBo/Pz+GDh0KPOrt8dlnn9G9e3esrKwoXrw4Cxcu1MoqisLhw4eZNGkSiqIQEhKSqb6wsDBsbW31tq1fvx4bGxu9bRs2bKBq1aqYmppSqlQpJk6cSGpqqt65vv32W1q1aoW5uTnu7u5s3LhR2x8UFISiKJkeu3btAmDp0qVUq1YNKysrXFxc6NSpk9Zz5VlIkiaEEC+ZqqrsPXud4OVHaDPnd7p+s5flEZdIuP8wy/J2dnY4ODiwcOFCzp8/z2+//cbw4cO1/R07dsTFxYWWLVsSERHBxYsX+emnn9i3b1+u4rGysiI4OJhhw4axePFiLly4wJEjR5g3bx6LFy/Ok2sWQgghcjJr1iyqVavG0aNH6d+/P/369SM6OhqAuLg4KlasyIgRI4iLiyM4OPi5zvHHH3/QpUsXhgwZwqlTp1iwYAFhYWF8+umneuUmTpxI+/btOX78OE2bNiUwMFC7ETp37lzi4uK0x5AhQ3BycqJ8+fIAPHz4kMmTJ3Ps2DHWr19PTEwMQUFBzxyrJGlCCPESpaWrTFz3J8OXH2Hfuev8c/s+0XF3mb/9LB3n7yH2RlKmYwwMDFi1ahWHDx/mnXfeYdiwYcyYMUPbb2xszLZt23BycqJp06ZUqlSJqVOnotPpch3X5MmTGTduHFOmTKFChQo0btyYX375hZIlS+bJdQshhBA5adq0Kf3796dMmTKMGjWKQoUKsXPnTgBcXFwwNDTE0tISFxcXLC0tn+scEydOZPTo0XTt2pVSpUrx/vvvM3nyZBYsWKBXLigoiI4dO1KmTBk+++wzEhMTOXjwIAA2Nja4uLjg4uLC3r17WbBgAWvXrsXFxQWA7t2706RJE0qVKkWtWrX44osv2Lx5sza0ILdkTJoQQrxEP+y/zJZjcQCkPTa3rqrCnaQURiw/wg+D6mJgoOgd17BhQ06dOqW37fHJeUuUKJHtumYhISGZuoYMHTpU62YCj7p3DBkyhCFDhjzHVQkhhBAvpnLlytrPiqLg4uLyXN0Ec3Ls2DEiIiL0Ws7S0tJ48OAB9+7dw9zcPFMsFhYWWFtbZ4rl6NGjdO7cmfnz51OnTh1t++HDhwkJCeHYsWPcvn1bb6IvDw+PXMcqSZoQQrwkaekqK/fGZL9fhb9u3ePAhRvUdnd8eYEJIYQQBSynCa5yw8DAgCdXFnv4UH8YQWJiIhMnTqR169aZjjc1Nc11LP/++y8ffPABPXv2pEePHtr2pKQk/P398ff3Z/ny5Tg6OhIbG4u/vz8pKSm5vhaQ7o5CiNdAUFAQLVu21J4/Ptg4O1kNIC5oV+Pvc/1uco5ldAYKR2Nu51hGCCGEEPocHR25e/cuSUn/GzYQFRWlV6Zq1apER0dnmiSrTJkyGBjkLi168OABLVq0oHz58nz++ed6+86cOcPNmzeZOnUq9erVo3z58s/dGigtaUKI186Ta6u4ubll6r7XoUMHmjZtWgDRZe+JG3zZl8vfMIQQQoh8cfdqIie3nOXywb9JT03HubwjFZuWw7lcoXw/d82aNTE3N+c///kPgwcP5sCBA4SFhemVGT9+PM2bN6d48eK0bdsWAwMDjh07xokTJ/jvf/+bq/P06dOHv/76i/DwcK5fv65tt7e3p3jx4hgbGzNv3jz69u3LiRMnmDx58nNdj7SkCfEcnmzZES+Xvb293sLMWTEzM8PJyeklRZQ7LrZmFLLKed2xtHQVLze7lxSREEIIkTf+jorjhwEbOb7+NHf+TiDh30TO/x7D+o+3EPXTyXw/v729PcuWLePXX3+lUqVKrFy5MtN4bH9/fzZt2sS2bduoXr06tWrVYvbs2draa7mxe/du4uLi8PDwoHDhwtpj7969ODo6EhYWxpo1a/Dw8GDq1KnMnDnzua5HUZ/svPmaS0hIwMbGhvj4eKytrQs6HPGGio+PR1XVV6473assPT2dmTNnsnDhQv766y+cnZ3p06cPY8eO5c8//2TIkCHs27cPc3Nz2rRpw+eff67N3hQUFMSdO3dYv3498Ki7o6enJ3PmzMHPz4/du3frnUtVVcLCwhg6dCh37twBHg0WHjp0KIcOHUJRFNzd3VmwYAHVqlV7mS8DyyMuMW/b2Sz36QwUXGxMWTO4XqaJQ4QQQohX1f34B6zouY7Uh2nZdgdpNrEBxTwLv9zAeH1zA2lJE+I52NjYSIL2jMaMGcPUqVMZN24cp06dYsWKFTg7O2uDbO3s7IiMjGTNmjXs2LGDgQMH5qretWvXUqxYMSZNmqStWZKVwMBAihUrRmRkJIcPH2b06NGZBga/DB/WdqNRpUfT9Boo/0vEFAVszIyYFVhVEjQhhBCvlegdF3JM0BQDheMbTr/coF5zkqSJV5qfnx+DBg1i6NCh2NnZ4ezszKJFi0hKSqJbt25YWVlRpkwZNm/ejKqqlClTJlOzclRUFIqicP78eeDRFKgtWrTA0tISa2tr2rdvz9WrV7XyISEheHp6smDBAlxdXTE3N6d9+/bEx8drZZ7s7rhlyxbq1q2Lra0tDg4ONG/enAsXLuTvi/MauXv3LnPnzmX69Ol07dqV0qVLU7duXXr27MmKFSt48OABS5Ys4Z133uG9995j/vz5LF26VO99yY69vT06nQ4rKytt3ZKsxMbG0rBhQ8qXL4+7uzvt2rWjSpUqeX2pT6UzUJjYpjIzOnlRs7QDhW1NKeNsSb8G7qwcWAc3x+db+0UIIYQoKFdOXM1xQLWarj4qI3JNkjTxylu8eDGFChXi4MGDDBo0iH79+tGuXTt8fHw4cuQIjRo1onPnzty/f5/u3bsTGhqqd3xoaCj169enTJkypKen06JFC27dusXu3bvZvn07Fy9epEOHDnrHnD9/ntWrV/Pzzz+zZcsWjh49Sv/+/bONMSkpieHDh3Po0CHCw8MxMDCgVatWzzR17Jvs9OnTJCcn06BBgyz3ValSBQsLC21bnTp1SE9PJzo6Os9iGD58OD179qRhw4ZMnTq1QJNoRVGoV86J2Z29WTfMl2X969ClXilszI0LLCYhhBBCvDokSROvvCpVqvDJJ5/g7u7OmDFjMDU1pVChQvTq1Qt3d3fGjx/PzZs3OX78OEFBQURHR2urwj98+JAVK1bQvXt3AMLDw/nzzz9ZsWIF3t7e1KxZkyVLlrB7924iIyO1c2a07Hh6elK/fn3mzZvHqlWr+Pfff7OMsU2bNrRu3ZoyZcrg6enJ999/z59//plp8eG3lZmZWUGHQEhICCdPnqRZs2b89ttveHh4sG7duoIOSwghhHjtFXnHGXLoqa8YKI/KiFyTJE288h5f9V2n0+Hg4EClSpW0bc7Oj37pr127RpEiRWjWrBnff/89AD///DPJycm0a9cOeNRq4+rqiqurq3a8h4cHtra2nD79v77SxYsXp2jRotrz2rVr59iyc+7cOTp27EipUqWwtrbGzc0NeNTFToC7uztmZmaEh4dn2lehQgWOHTumt65JREQEBgYGlCtXLlf1Gxsbk5aW9tRyZcuWZdiwYWzbto3WrVtnanUVQgghxLMr17A0hka6bBM1NV2lcosKLzeo15wkaeKVl9Wq749vU/5/8oWMroU9e/Zk1apV3L9/n9DQUDp06IC5uXm+xhgQEMCtW7dYtGgRBw4c4MCBAwDPvLr86+bOnTvs37+f7du388cffxAXF0dWE8aampoyatQoPv74Y5YsWcKFCxfYv38/3333HYGBgZiamtK1a1dOnDjBzp07GTRoEJ07d9YS8Kdxc3Pj999/559//uHGjRuZ9t+/f5+BAweya9cuLl++TEREBJGRkVSoIH8whBBCiBdlZmOK/1g/dIYGKI9NfqXoHv1cs4tXgczs+DqTxazFS6c+fEjyvv2k376FrmgxjL2raolWXmjatCkWFhZ8/fXXbNmyhd9//13bV6FCBf766y/++usvrTXt1KlT3LlzBw8PD61cbGwsV65coUiRIgDs378/25admzdvEh0dzaJFi6hXrx4Ae/bsybPreRWpqsqBAwc4fvw4iqKgqiqKonD69GmKFi1Ko0aNMiXX48aNw9DQkPHjx3PlyhUKFy5M3759MTc3Z+vWrQwZMoTq1avrTcGfW5MmTaJPnz6ULl2a5OTkTImiTqfj5s2bdOnShatXr1KoUCFat27NxIkT8+T1ECKvKIrCunXrZB1GIcRrp5hnYTp89QGnNp8j5uDfpKem4VzekXealcOpbP4vZv2mkSRNvFRJP6wm4bMppD/W2qErWRLbKZ9hWq9unpxDp9MRFBTEmDFjcHd3p3bt2tq+hg0bUqlSJQIDA5kzZw6pqan0798fX19fvfWyMlp2Zs6cSUJCAoMHD6Z9+/ZZzhxoZ2eHg4MDCxcupHDhwsTGxjJ69Og8uZZX1cmTJzl+/DiAlhBl/HvlyhV2795Nw4YN9Y4xMDBg7NixjB07NlN9lSpV4rfffsv2fGFhYXrPd+3apfe8Vq1aHDt2TG9bUFAQQUFBwKPukCtXrnzqdQkhhBDi+Vk5WVKzqxc1u3oVdCivPenuKF6apOUruDN8hF6CBpB2OYabgR+RvHdfnp2rR48epKSk0K1bN73tiqKwYcMG7OzsqF+/Pg0bNqRUqVL88MMPeuXKlClD69atadq0KY0aNaJy5cp89dVXWZ7LwMCAVatWcfjwYd555x2GDRvGjBkz8uxaXjXp6ekcPXo02/2qqnLx4kUSEhJeYlRCiNx4+PBhQYcghBAiFyRJEy+Fev8+8ZMmZ70zXQVVJX7ipEy7du3axZw5c/S2xcTEMHToUP36VVWve9A///yDkZERXbp0yVRn8eLF2bBhA4mJiSQkJLB69eosxz7169ePf/75h/v377NmzRrs7Oy0fWFhYaxfv1573rBhQ06dOsWDBw84duwYvr6+mWJ6U9y8eZP79+8/tdxff/31EqIR4vXi5uaW6f80T09PQkJCsiz/999/07FjR+zt7bGwsKBatWramFeADRs2ULVqVUxNTSlVqhQTJ04kNTVV268oCl9//TUffPABFhYWfPrpp/lxWUIIIfKYdHcUL8WDHeGoiYnZF0hP5+GJEzw8exajsmWf+zzJyclcv36dkJAQ2rVrl+uJJ0Tu5WYWRUVRclVOCJG9xMREfH19KVq0KBs3bsTFxYUjR45okyT98ccfdOnShS+++IJ69epx4cIFevfuDcCECRO0ekJCQpg6dSpz5szB0FD+7AshxOtA/rcWL0XatWtgYABPWdw57d+rL5SkrVy5kh49euDp6cmSJUueux6RPVtbW22ykOyoqoqDg8NLjEqIN8+KFSu4fv06kZGR2NvbA4+6YmeYOHEio0ePpmvXrgCUKlWKyZMn8/HHH+slaZ06dcrU9VsIIcSrTbo7ipfCwNHxqQkagM7Z6YXOExQURFpaGocPH9Zb5+xZhISEEBUV9UJxvMlMTU0pXbp0tjNyKoqCtbW1NjOmEOL5REVF4eXlpSVoTzp27BiTJk3C0tJSe/Tq1Yu4uDju3bunlXt8UiQhhBCvB2lJEy+F6fsNUSwts+/yaGCAUYUKGOVy8WJRsGrXrs3169dJSEjQa1FTFAVDQ0MaNGiQp8sqCPGmMDAwyNQKnd1kHmZmZjnWlZiYyMSJE2ndunWmfaamptrPFhYWzxGpEEKIgiQtaW+QXbt2oSgKd+7cKehQMjEwM8PmE/2p1/9KTaXYlb85mfoQFAWbCeMLKDrxrMzMzGjZsiWenp7al0GdTke5cuVo3bo1jo6OBRyhEK8mR0dH4uLitOcJCQlcunQpy7KVK1cmKiqKW7duZbm/atWqREdHU6ZMmUwPAwP58y6EEK8zaUl7Tfn5+eHp6ak3S5iPjw9xcXHY2NgUXGDZCAoK4s6dOyyfNYOEz6aSfvOmts/AxQWHeV9gUsenACMUz8rExITq1atTvXp10tLSMDAwkNYz8Va6f/8+Z8+e5ebNm+h0Otzc3HB1dc0yUXrvvfcICwsjICAAW1tbxo8fj06ny7Lejh078tlnn9GyZUumTJlC4cKFOXr0KEWKFKF27dqMHz+e5s2bU7x4cdq2bYuBgQHHjh3jxIkT/Pe//83vyxZCCJGPJEl7BaWkpGBsbPzMxxkbG2e52PKrxOLDDzFv04bkvXtJOHMG+vbFISwUUy9Z9PB1lt2XTCHedOfPn2fXrl2kp6drNymio6OxtbWladOmWFpa6pUfM2YMly5donnz5tjY2DB58uRsW9KMjY3Ztm0bI0aMoGnTpqSmpuLh4cGXX34JgL+/P5s2bWLSpElMmzYNIyMjypcvT8+ePfP3ooUQQuQ76Q/xCvDz82PgwIEMHTqUQoUK4e/vz4kTJ2jSpAmWlpY4OzvTuXNnbvz/ItBBQUHs3r2buXPnoigKiqIQExOTqbtjWFgYtra2bN26lQoVKmBpaUnjxo31utqkp6czadIkihUrhomJCZ6enmzZskXbHxMTg6IorFq1Ch8fH0xNTXnnnXfYvXu3ViYtLY0ePXpQsmRJzMzMKFeuHHPnztX2h4SEsHjxYjZs2ICiKBgYG7NfVTHz9wfg0qVLvPvuu5ibm1OlShX27Xu0qHVSUhLW1tb8+OOPeq/X+vXrsbCw4O7du3n7RgghxDP4999/+e2337Qp8VVV1cabxcfH8+uvv2r7MlhbW7Nq1Sri4+OJjY2la9euREVFaeukPbm+YokSJfjxxx+Jj48nKSmJyMhIatSooe339/cnIiKCe/fuER8fz4EDB+jVq5e2/01dr1EIId50kqS9IhYvXoyxsTERERFMnTqV9957Dy8vLw4dOsSWLVu4evUq7du3B2Du3LnUrl1bm8UrLi4OV1fXLOu9d+8eM2fOZOnSpfz+++/ExsYSHBys7Z87dy6zZs1i5syZHD9+HH9/fz744APOnTunV8/IkSMZMWIER48epXbt2gQEBHDz/7sspqenU6xYMdasWcOpU6cYP348//nPf1i9ejUAwcHBtG/fXksQ4+Li8PH5X9fGsWPHEhwcTFRUFGXLlqVjx46kpqZiYWHBhx9+SGhoqF4soaGhtG3bFisrqxd/4YUQ4jlFRUVl28VXVVXu3LlDbGzsS45KCCHEm0C6O74i3N3dmT59OgD//e9/8fLy4rPPPtP2f//997i6unL27FnKli2LsbEx5ubmT+3e+PDhQ7755htKly4NwMCBA5k0aZK2f+bMmYwaNYoPP/wQgGnTprFz507mzJmjdanJOK5NmzYAfP3112zZsoXvvvuOjz/+GCMjIyZOnKiVLVmyJPv27WP16tW0b98eS0tLzMzMSE5OzjLe4OBgmjVrBjxa96dixYqcP39e67aTMdaucOHCXLt2jV9//ZUdO3Y80+srhBB5KT09/akJmKIoXL58GTc3t5cTlBBCiDeGtKS9Iry9vbWfjx07xs6dO/XWvilfvjwAFy5ceKZ6zc3NtQQN0BIdeDSr2JUrV6hTp47eMXXq1OH06dN622rXrq39bGhoSLVq1fTKfPnll3h7e+Po6IilpSULFy7M9R3kypUr68UHaDHWqFGDihUrsnjxYgCWLVtGiRIlqF+/fq7qFkKI/PBkN8bspKam5nMkQggh3kSSpL0iHl/HJjExkYCAAKKiovQe586de+bkxMjISO+5oiiZ1uh5UatWrSI4OJgePXqwbds2oqKi6NatGykpKc8cY0bXoce/APXs2ZOwsDDgUVfHbt26ySyCQogCpdPpntrlWlVVHBwcXlJEQggh3iSSpL2CqlatysmTJ3Fzc8u09k1GMmdsbExaWtoLncfa2poiRYoQERGhtz0iIgIPDw+9bfv379d+Tk1N5fDhw1SoUEEr7+PjQ//+/fHy8qJMmTKZWvxeJN6PPvqIy5cv88UXX3Dq1Cm6du36XPUIIUReURSFihUr5ljGwMCAcuXKvaSIhBBCvEkkScsHqqqSfPAgt4eP4Hq79tzs15/723eg5jJJGTBgALdu3aJjx45ERkZy4cIFtm7dSrdu3bREx83NjQMHDhATE8ONGzdy3fXmSSNHjmTatGn88MMPREdHM3r0aKKiohgyZIheuS+//JJ169Zx5swZBgwYwO3bt+nevTvwaDzdoUOH2Lp1K2fPnmXcuHFERkbqHe/m5sbx48eJjo7mxo0bPHz4MNcx2tnZ0bp1a0aOHEmjRo0oVqzYc12rEELkpYoVK1K0aNFM2zNa+uvXr4+ZmdnLDksIIcQbQJK0PKampnJ70BButGrDvR9/ImXvPh788iu3grpxo1170hMTn1pHRutWWloajRo1olKlSgwdOhRbW1ttcdTg4GB0Oh0eHh44Ojo+9wxigwcPZvjw4YwYMYJKlSqxZcsWNm7ciLu7u165qVOnMnXqVKpUqcKePXvYuHEjhQoVAqBPnz60bt2aDh06ULNmTW7evEn//v31ju/VqxflypWjWrVqODo6Zmq9e5oePXqQkpKiJYZCCFHQdDodjRs3platWnrroRUrVozmzZtTtmzZAoxOCCHE60xR83qA0v9zc3Pj8uXLetumTJnC6NGjczxu3759jB07lgMHDqDT6fD09GTr1q25vhuZkJCAjY0N8fHxWFtbP3f8zythxkzuzv0CsnpZdTpMmzTGYcE3Lz2u5xUTE0PJkiU5evQonp6eBRbH0qVLGTZsGFeuXHmuhb6FECI/qapKWloaBgYG2s00IYQQBa+gc4Pnla9T8E+aNElvUc2nDbLet28fjRs3ZsyYMcybNw9DQ0OOHTv22vzBS79/n8Rvv8s6QQNIS+PBL7+S+tdfGGazrpnQd+/ePeLi4pg6dSp9+vSRBE0I8UpSFAVDQ1nVRgghRN7I178oVlZWT13H63HDhg1j8ODBeq1tr9Og64dRUahP686oqiT/sQfDTh1fTlCvuenTp/Ppp59Sv359xowZU9DhCCGEEEIIke/ytYlq6tSpODg44OXlxYwZM3JcL+batWscOHAAJycnfHx8cHZ2xtfXlz179uRniHlKTc3FxCCKgvoMk2YUNDc3N1RVLbCujiEhITx8+JDw8HC9MR9CCCGEEEK8qfKtJW3w4MFUrVoVe3t79u7dy5gxY4iLi+Pzzz/PsvzFixeBR1/KZ86ciaenJ0uWLKFBgwacOHEi00QWGZKTk0lOTtaeJyQk5P3F5JKRRwUwNIScFi9VVYw9q7y8oIQQQgghhBCvlWdqSRs9ejSKouT4OHPmDADDhw/Hz8+PypUr07dvX2bNmsW8efP0EqrHZUwh36dPH7p164aXlxezZ8+mXLlyfP/999nGNGXKFGxsbLSHawGO9dI5OGDW4gPQ6bIpoMOocmWMq0iSJoQQQgghhMjaMyVpI0aM4PTp0zk+SpUqleWxNWvWJDU1lZiYmCz3Fy5cGCDTIsoVKlTIcXr5MWPGEB8frz3++uuvZ7mkPGc7MQTD0qXh/9fJ0eh0GNjbY//V/IIJTAghhMhnfn5+DB06tKDDyCQkJOSp3fZzE3tYWBi2trZ5FpcQQmTnmbo7Ojo64ujo+FwnioqKwsDAACcnpyz3u7m5UaRIEaKjo/W2nz17liZNmmRbr4mJCSYmJs8VU34wsLPD8ecNJC1dRtLSZaTFxWFgZ4d5+3ZY9uiO7jlfPyGEEELkn7Vr12JkZKQ9d3NzY+jQoXqJW4cOHWjatGkBRCeEeNvky5i0ffv2ceDAAd59912srKzYt28fw4YN46OPPsLOzg6Af/75hwYNGrBkyRJq1KiBoiiMHDmSCRMmUKVKFTw9PVm8eDFnzpzhxx9/zI8w842BpSVW/fpi1a9vQYcihBBCvLJSUlJemaVV7O3tn1rGzMws1+u2CiHEi8iX2R1NTExYtWoVvr6+VKxYkU8//ZRhw4axcOFCrczDhw+Jjo7m3r172rahQ4cyZswYhg0bRpUqVQgPD2f79u2ULl06P8IUQgghRB5LTU1l4MCB2NjYUKhQIcaNG4f6/+uHurm5MXnyZLp06YK1tTW9e/cG4KeffqJixYqYmJjg5ubGrFmz9Op0c3Pjs88+o3v37lhZWVG8eHG97xTA/7V373E9nv8fwF/3p/O5hA6W0koHksgprEbO5TTjG0NzmhnKYZttKIeNmTDGNvzErLGDw8xp5pCRUySnkkRicqaEjp/r90frno8OKqpPej0fj/ux7vu+7ut63/dd83l/ruu+bly7dg0BAQGoVasWDAwM4OnpiaNHj6qUWbt2Lezs7GBiYoL//e9/ePjwobzv6eGOPj4+uHLlCiZMmCA/cw8UHu546tQp+QtpY2NjNG/eHMePH38p15GIarYK6Ulr1qwZjhw5UmKZgqndnzVlyhSV96QRERFR9bFmzRoMHz4cx44dw/HjxzFq1CjUr18fI0eOBADMnz8f06dPR0hICADgxIkT6N+/P0JDQzFgwAAcOnQIY8aMgbm5OQIDA+V6w8LCMGvWLHz66af47bff8P7778Pb2xtOTk7IyMiAt7c36tWrhy1btsDS0hIxMTHypGQAkJSUhM2bN2Pr1q24f/8++vfvj7lz5+Lzzz8vdA4bN26Eu7s7Ro0aJcddlEGDBsHDwwPffvstNDQ0EBsbqzJkkoiovCr0ZdZERERUs9jY2GDhwoWQJAlOTk44c+YMFi5cKCc7HTp0wKRJk+TygwYNQseOHTFt2jQAQMOGDREXF4evvvpKJUnr3r07xowZAwD4+OOPsXDhQuzbtw9OTk746aefcPv2bURHR8vDFh0cHFTiUiqVWL16NYyMjAAAgwcPxp49e4pM0mrVqgUNDQ0YGRnB0tKy2HNNSUnBhx9+CGdnZwAo9nVBRERlVaEvsyYiIqKapXXr1vLwQABo06YNEhMTkZeXBwDw9PRUKR8fH4+2bduqbGvbtq3KMQDQpEkT+WdJkmBpaYlbt24ByJ+czMPDo8Tnyuzs7OQEDcifVbrg+PKaOHEiRowYAV9fX8ydOxdJSUkvVB8RUQEmaURERFRpDAwMynXcs8MIJUmShzOWZjKPko4vr9DQUJw7dw49evTA3r174erqik2bNr1QnUREAJM0IiIieomenazjyJEjcHR0hIaGRpHlXVxcEBUVpbItKioKDRs2LPaYZzVp0gSxsbG4d+9e+YIugra2tkpPXnEaNmyICRMmYNeuXejbty/Cw8NfWgxEVHMxSSMiIqJiPXmQiZhfzuCXcX8gYuQm7Ji1DynH/yly8i8g/zmtiRMnIiEhAevWrcOSJUsQFBRUbP2TJk3Cnj17MGvWLFy4cAFr1qzBN998g8mTJ5c6xoCAAFhaWqJ3796IiorCpUuXsGHDBhw+fLjM51vAzs4Of//9N/755x/cuXOn0P4nT55g7NixiIyMxJUrVxAVFYXo6Gi4uLiUu00iogKcOISIiIiKdDf5Pv6Y+heyM7JRkJM9uvMYKcf/gVPH1+E9tjUkhaRyzJAhQ/DkyRO0bNkSGhoaCAoKkqfaL0qzZs3wyy+/YPr06Zg1axasrKwwc+ZMlUlDnkdbWxu7du3CpEmT0L17d+Tm5sLV1RVLly4tz2kDAGbOnIn33nsPr7/+OrKysgolpRoaGrh79y6GDBmCmzdvonbt2ujbty9mzJhR7jaJiApIorivwqqp9PR0mJiYIC0tDcbGxlUdDhERUbWUl6vEulGb8fj+Ewhl0R8V2o5qgcY9nCo5MiKi0quuuQGHOxIREVEhV45dw6O7j4tN0ADg9O9xxQ57JCKi8mOSRkRERIWknrsJhYZUYpmHNx/h8f0nlRQREVHNwSSNiIiICpNKTtD+K1a6ckREVHpM0oiIiKgQ60Z1ocwrYSijBBhbGUHPVLfygiIiqiGYpBEREVEhti1fg2Ed/UKzN8oE4N7LhT1pREQVgEkaERERFaLQUKDbtA7QMdQGnsrDCpI2584OcOnqWEXRERG92vieNCIiIipSLVtTDFjaE+f/uoiLB5OR8yQHteqboVH3hqjnbsleNCKiCsL3pBERERER0SupuuYGHO5IRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERET0UoSGhqJp06ZVHUaRIiMjIUkSHjx48FLq8/HxQXBw8Eupi+hZmlUdABERERGpHx8fHzRt2hSLFi2q6lDU0saNG6GlpVXVYdArikkaEREREam1nJwctUuIatWqVdUh0CuMwx2JiIiISEVgYCD279+Pr7/+GpIkQZIkrF69GqampirlNm/eDEmSCh3//fffw8bGBvr6+ujfvz/S0tJU9q9cuRIuLi7Q1dWFs7Mzli1bJu9LTk6GJEn4+eef4e3tDV1dXURERAAAVq1ahUaNGkFHRwdWVlYYO3asyjGxsbFyPQ8ePIAkSYiMjCz2PDds2CDXZ2dnh7CwMJX9y5Ytg6OjI3R1dWFhYYF+/frJ+54d7lhSWaKyYk8aEREREan4+uuvceHCBTRu3BgzZ84EAGzbtq1Ux168eBG//PIL/vjjD6Snp2P48OEYM2aMnGhFRERg+vTp+Oabb+Dh4YGTJ09i5MiRMDAwwNChQ+V6pkyZgrCwMHh4eEBXVxfffvstJk6ciLlz56Jbt25IS0tDVFRUuc/xxIkT6N+/P0JDQzFgwAAcOnQIY8aMgbm5OQIDA3H8+HGMHz8ea9euhZeXF+7du4cDBw4UWVdZyhKVBpM0IiIiIlJhYmICbW1t6Ovrw9LSEgCgoaFRqmMzMzPxww8/oF69egCAJUuWoEePHggLC4OlpSVCQkIQFhaGvn37AgAaNGiAuLg4fP/99ypJWnBwsFwGAGbPno1JkyYhKChI3taiRYtyn+OCBQvQsWNHTJs2DQDQsGFDxMXF4auvvkJgYCBSUlJgYGAAPz8/GBkZwdbWFh4eHkXWVZayRKXB4Y5ERERE9NLUr19fTtAAoE2bNlAqlUhISMCjR4+QlJSE4cOHw9DQUF5mz56NpKQklXo8PT3ln2/duoXr16+jY8eOLy3O+Ph4tG3bVmVb27ZtkZiYiLy8PHTq1Am2trawt7fH4MGDERERgcePHxdZV1nKEpUGkzQiIiIiei6FQgEhhMq2nJycMtWRkZEBAFixYgViY2Pl5ezZszhy5IhKWQMDA/lnPT2958YGQCW+ssb2LCMjI8TExGDdunWwsrLC9OnT4e7uXuQU/mUpS1QaTNKIiIiIaoicrFwkRl7GiZ9P4+y2BDy6V3xvj7a2NvLy8uT1OnXq4OHDh3j06JG87emJOgqkpKTg+vXr8vqRI0egUCjg5OQECwsLWFtb49KlS3BwcFBZGjRoUGwsRkZGsLOzw549e4rcX6dOHQBAampqibE9zcXFpdAzbVFRUWjYsKE8tFNTUxO+vr6YN28eTp8+jeTkZOzdu7fI+spSluh5+EwaERERUQ2QuP8yDnx7DDlPciBpSBBKgUMrj6OxnxNaBzaDQkP1u3s7OzscPXoUycnJMDQ0RKtWraCvr49PP/0U48ePx9GjR7F69epC7ejq6mLo0KGYP38+0tPTMX78ePTv319+tm3GjBkYP348TExM0LVrV2RlZeH48eO4f/8+Jk6cWGz8oaGhGD16NOrWrYtu3brh4cOHiIqKwrhx46Cnp4fWrVtj7ty5aNCgAW7duoWpU6eWeD0mTZqEFi1aYNasWRgwYAAOHz6Mb775Rp5pcuvWrbh06RLeeOMNmJmZYfv27VAqlXBycipUV1nKEpUGe9KIiIiIXnFXoq9h74Io5DzJHwIo8gQgAKEUOPPHeRxZHVPomMmTJ0NDQwOurq6oU6cO0tPT8eOPP2L79u1wc3PDunXrEBoaWug4BwcH9O3bF927d0fnzp3RpEkTlSn2R4wYgZUrVyI8PBxubm7w9vbG6tWrS+xJA4ChQ4di0aJFWLZsGRo1agQ/Pz8kJibK+1etWoXc3Fw0b94cwcHBmD17don1NWvWDL/88gvWr1+Pxo0bY/r06Zg5cyYCAwMBAKampti4cSM6dOgAFxcXfPfdd1i3bh0aNWpUqK6ylCUqDUk8O7i4mktPT4eJiQnS0tJgbGxc1eEQERERVSkhBH4N2ob7KQ+AYj71SQoJ74T3hb5pyc9+EVU31TU3YE8aERER0Sss7fpD3L/yoNgEDchP5C4fSqm0mIioZEzSiIiIiF5hWRnZzy0jKSRkPXqx2RCJ6OVhkkZERET0CjOqawBIJZcReQLGFoaVExARPReTNCIiIqJXmL6ZHmw960FSFJ+paRtow661TSVGRUQlYZJGRERE9IprM6w5tPS0CidqUv7yxphW0NTWqJLYiKgwJmlERERErzgTa2P0nd8V9VvUUxn6aN7ADN2md8Dr7WyrLjgiKoQvsyYiIiKqAUysjdH1Ux88fvAEGbcfQcdQByZWRlUdFhEVgUkaERERUQ2ib6rH96ERqTkOdyQiIiIiIlIjTNKIiIiIiIjUCJM0IiIiIiIiNcIkjYiIiIiISI0wSSMiIiIiIlIjTNKIiIiIiIjUCJM0IiIiIiIiNcIkjYiIiIiISI0wSSMiIiIiIlIjTNKIiIiIiIjUCJM0IiIiIiIiNcIkjYiIiIiISI0wSSMiIiIiIlIjTNKIiIiIiIjUCJM0IiIiIiIiNcIkjYiIiIiISI0wSSMiIiIiIlIjTNKIiIiIiIjUCJM0IiIiIiIiNcIkjYiIiIiISI0wSSMiIiIiIlIjTNKIiIiIiIjUCJM0IiIiIiIiNcIkjYiIiIiISI0wSSMiIiIiIlIjFZak2dnZQZIklWXu3LklHnPjxg0MHjwYlpaWMDAwQLNmzbBhw4aKCpGIiIiIiEjtaFZk5TNnzsTIkSPldSMjoxLLDxkyBA8ePMCWLVtQu3Zt/PTTT+jfvz+OHz8ODw+PigyViIiIiIhILVTocEcjIyNYWlrKi4GBQYnlDx06hHHjxqFly5awt7fH1KlTYWpqihMnTlRkmEREREQ1jo+PD4KDg6s6DCIqQoUmaXPnzoW5uTk8PDzw1VdfITc3t8TyXl5e+Pnnn3Hv3j0olUqsX78emZmZ8PHxqcgwiYiIiIiI1EaFDXccP348mjVrhlq1auHQoUP45JNPkJqaigULFhR7zC+//IIBAwbA3Nwcmpqa0NfXx6ZNm+Dg4FDsMVlZWcjKypLX09PTX+p5EBERERERVaYy9aRNmTKl0GQgzy7nz58HAEycOBE+Pj5o0qQJRo8ejbCwMCxZskQloXrWtGnT8ODBA+zevRvHjx/HxIkT0b9/f5w5c6bYY+bMmQMTExN5sbGxKcspEREREak9Hx8fjBs3DsHBwTAzM4OFhQVWrFiBR48e4d1334WRkREcHBywY8cO+ZizZ8+iW7duMDQ0hIWFBQYPHow7d+4U28batWvh6ekpP64ycOBA3Lp1S94fGRkJSZKwZ88eeHp6Ql9fH15eXkhISFCp59tvv8Xrr78ObW1tODk5Ye3atSr7JUnC999/Dz8/P+jr68PFxQWHDx/GxYsX4ePjAwMDA3h5eSEpKUk+JikpCb169YKFhQUMDQ3RokUL7N69+0UvK5HaKlOSNmnSJMTHx5e42NvbF3lsq1atkJubi+Tk5CL3JyUl4ZtvvsGqVavQsWNHuLu7IyQkBJ6enli6dGmxMX3yySdIS0uTl6tXr5bllIiIiIiqhTVr1qB27do4duwYxo0bh/fffx9vv/02vLy8EBMTg86dO2Pw4MF4/PgxHjx4gA4dOsDDwwPHjx/Hzp07cfPmTfTv37/Y+nNycjBr1iycOnUKmzdvRnJyMgIDAwuV++yzzxAWFobjx49DU1MTw4YNk/dt2rQJQUFBmDRpEs6ePYv33nsP7777Lvbt26dSx6xZszBkyBDExsbC2dkZAwcOxHvvvYdPPvkEx48fhxACY8eOlctnZGSge/fu2LNnD06ePImuXbvC398fKSkpL35hidSRqCQ//vijUCgU4t69e0XuP336tAAg4uLiVLZ37txZjBw5stTtpKWlCQAiLS3theIlIiIiUhfe3t6iXbt28npubq4wMDAQgwcPlrelpqYKAOLw4cNi1qxZonPnzip1XL16VQAQCQkJcp1BQUHFthkdHS0AiIcPHwohhNi3b58AIHbv3i2X2bZtmwAgnjx5IoQQwsvLq9Dntrffflt0795dXgcgpk6dKq8fPnxYABD/93//J29bt26d0NXVLfGaNGrUSCxZsqTEMkTVNTeokIlDDh8+jEWLFuHUqVO4dOkSIiIiMGHCBLzzzjswMzMDAPzzzz9wdnbGsWPHAADOzs5wcHDAe++9h2PHjiEpKQlhYWH466+/0Lt374oIk4iIiKjaaNKkifyzhoYGzM3N4ebmJm+zsLAAANy6dQunTp3Cvn37YGhoKC/Ozs4AoDKM8GknTpyAv78/6tevDyMjI3h7ewNAod6qp+OwsrKS2wSA+Ph4tG3bVqV827ZtER8fX2wdBXE/ey6ZmZnyXAMZGRmYPHkyXFxcYGpqCkNDQ8THx7MnjV5ZFTJxiI6ODtavX4/Q0FBkZWWhQYMGmDBhAiZOnCiXycnJQUJCAh4/fgwA0NLSwvbt2zFlyhT4+/sjIyMDDg4OWLNmDbp3714RYRIRERFVG1paWirrkiSpbJMkCQCgVCqRkZEBf39/fPnll4XqKUisnvbo0SN06dIFXbp0QUREBOrUqYOUlBR06dIF2dnZxcbxdJvlPZeCOkqqd/Lkyfjrr78wf/58ODg4QE9PD/369SsUG9GrokKStGbNmuHIkSMllrGzs4MQQmWbo6MjNmzYUBEhEREREamdzOw83H+cDSNdTRjqaj3/gFJq1qwZNmzYADs7O2hqPv/j3vnz53H37l3MnTtXnoTt+PHjZW7XxcUFUVFRGDp0qLwtKioKrq6uZa7raVFRUQgMDESfPn0A5PesFTfPAdGroMKm4CciIiKiot148AQr9l3ErjOpyMkTkCSgrWMdjHjTAc7Wxi9c/wcffIAVK1YgICAAH330EWrVqoWLFy9i/fr1WLlyJTQ0NFTK169fH9ra2liyZAlGjx6Ns2fPYtasWWVu98MPP0T//v3h4eEBX19f/PHHH9i4ceMLz8To6OiIjRs3wt/fH5IkYdq0aWXuvSOqTir0ZdZEREREpOr6/cd49/vD2Hk6P0EDACGAwxfvYOTKo4hJvvfCbVhbWyMqKgp5eXno3Lkz3NzcEBwcDFNTUygUhT/+1alTB6tXr8avv/4KV1dXzJ07F/Pnzy9zu71798bXX3+N+fPno1GjRvj+++8RHh4OHx+fFzqfBQsWwMzMDF5eXvD390eXLl3QrFmzF6qTSJ1J4tkxh9Vceno6TExMkJaWBmPjF/8mioiIiOhlmvjjCRy9eBd5RXwEkySgrrEuNgW/AYVCqoLoiF4t1TU3YE8aERERUSW5lZaJQ4l3ikzQgPwetZtpmYi+dLeSIyMidcIkjYiIiKiSXL336LllJAlIvv38ckT06mKSRkREVMXs7OywaNGiqg6DKoGe9vPnbBMC0NPWeG45Inp1MUkjIiIiqiROVsaoY6RTYhkNhYR2TnUqKSIiUkdM0oiIiIgqiYZCwsg3HYrdLwHo62mDWoYlJ3JE9GpjkkZERPQvpVKJOXPmoEGDBtDT04O7uzt+++03AEBkZCQkScKff/4JDw8P6OnpoUOHDrh16xZ27NgBFxcXGBsbY+DAgXj8+LFcp4+PD8aOHYuxY8fCxMQEtWvXxrRp0/Ds5MqPHz/GsGHDYGRkhPr162P58uXyvg4dOmDs2LEq5W/fvg1tbW3s2bMHALBs2TI4OjpCV1cXFhYW6NevX6nO60XObefOnWjXrh1MTU1hbm4OPz8/JCUlvYQ78Wrr2fw1jPF1hIZCgkICNBUSNKT8mRz9POohqKtTFUdIRFVOvGLS0tIEAJGWllbVoRARUTUze/Zs4ezsLHbu3CmSkpJEeHi40NHREZGRkWLfvn0CgGjdurU4ePCgiImJEQ4ODsLb21t07txZxMTEiL///luYm5uLuXPnynV6e3sLQ0NDERQUJM6fPy9+/PFHoa+vL5YvXy6XsbW1FbVq1RJLly4ViYmJYs6cOUKhUIjz588LIYSIiIgQZmZmIjMzUz5mwYIFws7OTiiVShEdHS00NDTETz/9JJKTk0VMTIz4+uuvS3VeQohyn9tvv/0mNmzYIBITE8XJkyeFv7+/cHNzE3l5eRV2j14ldx5mih8PXhZfbY0TK/cliit3Mqo6JKJXTnXNDZikERERCSEyMzOFvr6+OHTokMr24cOHi4CAADmR2b17t7xvzpw5AoBISkqSt7333nuiS5cu8rq3t7dwcXERSqVS3vbxxx8LFxcXed3W1la888478rpSqRR169YV3377rRBCiCdPnggzMzPx888/y2WaNGkiQkNDhRBCbNiwQRgbG4v09PQyn5cQotzn9qzbt28LAOLMmTPFliEiqkzVNTfgcEciIiIAFy9exOPHj9GpUycYGhrKyw8//KAyhK9JkybyzxYWFtDX14e9vb3Ktlu3bqnU3bp1a0jSfy8mbtOmDRITE5GXl1dkvZIkwdLSUq5HV1cXgwcPxqpVqwAAMTExOHv2LAIDAwEAnTp1gq2tLezt7TF48GBERETIwxJLe17lObfExEQEBATA3t4exsbGsLOzAwCkpKSUdKmJiOg5nj8PLBERUQ2QkZEBANi2bRvq1aunsk9HR0dOaLS0tOTtkiSprBdsUyqVZW7/efWMGDECTZs2xbVr1xAeHo4OHTrA1tYWAGBkZISYmBhERkZi165dmD59OkJDQxEdHf3c8youhtKcm7+/P2xtbbFixQpYW1tDqVSicePGyM7OLvP5ExHRf5ikERERAXB1dYWOjg5SUlLg7e1daP+LTIhx9OhRlfUjR47A0dERGhqlfxeWm5sbPD09sWLFCvz000/45ptvVPZramrC19cXvr6+CAkJgampKfbu3YtOnTqVeF7ldffuXSQkJGDFihVo3749AODgwYMvrX4iopqMSRoREb2y7ly6h7PbEpB69iYgSbDxsEKjHk4we82kUFkjIyNMnjwZEyZMgFKpRLt27ZCWloaoqCgYGxvLvVblkZKSgokTJ+K9995DTEwMlixZgrCwsDLXM2LECIwdOxYGBgbo06ePvH3r1q24dOkS3njjDZiZmWH79u1QKpVwcnJ67nkNHTq0XOdkZmYGc3NzLF++HFZWVkhJScGUKVPKVRcREalikkZERK+kuJ0XcODbY5A0JIi8/Onu425mIG5nIjpOaofX2xVOumbNmoU6depgzpw5uHTpEkxNTdGsWTN8+umn5RrCWGDIkCF48uQJWrZsCQ0NDQQFBWHUqFFlricgIADBwcEICAiArq6uvN3U1BQbN25EaGgoMjMz4ejoiHXr1qFRo0bPPa/yUigUWL9+PcaPH4/GjRvDyckJixcvho+PT7nrJCKifJIQz7yopZpLT0+HiYkJ0tLSYGxsXNXhEFEp2NnZITg4GMHBwVUdCr0ibifexcbJO4rdLykkDFjWEyZWRhUei4+PD5o2bYpFixa9cF3Jycl4/fXXER0djWbNmr14cEREr7jqmhtwdkciInrlnNl6HpJCKrFM3M4LlRTNi8vJycGNGzcwdepUtG7dmgkaEdErjkkaERG9cv45fQNCWfxAEaEU+OfUjUqM6MVERUXBysoK0dHR+O6776o6HCIiqmBM0oiowj18+BCDBg2CgYEBrKyssHDhQvj4+BQ7vHHBggVwc3ODgYEBbGxsMGbMGHkacQAIDQ1F06ZNVY5ZtGiR/I6mAqtWrUKjRo2go6MDKysrjB07Vt6XkpKCXr16wdDQEMbGxujfvz9u3rxZqI1Vq1ahfv36MDQ0xJgxY5CXl4d58+bB0tISdevWxeeff16m2KuzyMhISJKEBw8eVHhbycnJkCQJsbGx5Tr+6XeSFV+oXFWXWWRk5AsPdfTx8YEQAgkJCXBzc3s5gRERkdpikkZEFW7ixImIiorCli1b8Ndff+HAgQOIiYkptrxCocDixYtx7tw5rFmzBnv37sVHH31Upja//fZbfPDBBxg1ahTOnDmDLVu2wMHBAQCgVCrRq1cv3Lt3D/v378dff/2FS5cuYcCAASp1JCUlYceOHdi5cyfWrVuH//u//0OPHj1w7do17N+/H19++SWmTp2qMr36y4hdXXl5eSE1NRUmJoVnRnzZbGxskJqaisaNG5fr+HruliUOd5QUEuo1sSxveERERBWKszsSUYV6+PAh1qxZg59++gkdO3YEAISHh8Pa2rrYY57uYbOzs8Ps2bMxevRoLFu2rNTtzp49G5MmTUJQUJC8rUWLFgCAPXv24MyZM7h8+TJsbGwAAD/88AMaNWqE6OhouZxSqcSqVatgZGQEV1dXvPnmm0hISMD27duhUCjg5OSEL7/8Evv27UOrVq1eWuzqSltbG5aWL5bYZGdnQ1tb+7nlNDQ0Xqitxn5OuLDvUrH7JQlo1K1huesnIiKqSOxJI6IKdenSJeTk5KBly5byNhMTEzg5ORV7zO7du9GxY0fUq1cPRkZGGDx4MO7evYvHjx+Xqs1bt27h+vXrclL4rPj4eNjY2MgJGpD/ImNTU1PEx8fL2+zs7GBk9N/sfxYWFnB1dYVCoVDZduvWrZcWe2Xy8fHBuHHjEBwcDDMzM1hYWGDFihV49OgR3n33XRgZGcHBwQE7duTPkljUcMcVK1bAxsYG+vr66NOnDxYsWABTU1N5f8Gw0ZUrV6JBgwbytPE7d+5Eu3btYGpqCnNzc/j5+am8LPrZ4Y4Fbe/Zsweenp7Q19eHl5cXEhISVM7p999/R7NmzWDTqB5mH/0EWxM2Qon/ps6XFBIkDQkdJ7eHsWXFz+xYlYoaFkxERNUDkzQiUivJycnw8/NDkyZNsGHDBpw4cQJLly4FkN8LA+QPKXz27SE5OTnyz3p6ei8lFi0tLZV1SZKK3Fbw/qzSxK5u1qxZg9q1a+PYsWMYN24c3n//fbz99tvw8vJCTEwMOnfujMGDBxeZZEZFRWH06NEICgpCbGwsOnXqVOgZPQC4ePEiNmzYgI0bN8pJ16NHjzBx4kQcP34ce/bsgUKhQJ8+fZ77LrLPPvsMYWFhOH78ODQ1NTFs2DB534EDBzBkyBAEBQUhLi4Oq35YhdOPTiA67wBMrI1h+poxGvVwwoBv/GHvVf/FLpyakSQJmzdvruowiIjoJeFwRyIqt7xbt5CXmgqFmRk06xf9odfe3h5aWlqIjo5G/X/LpKWl4cKFC3jjjTcKlT9x4gSUSiXCwsLkHqtffvlFpUydOnVw48YNCCHkCSKenmDCyMgIdnZ22LNnD958881Cbbi4uODq1au4evWq3JsWFxeHBw8ewNXVtewXogyxqxt3d3dMnToVAPDJJ59g7ty5qF27NkaOHAkAmD59Or799lucPn260LFLlixBt27dMHnyZABAw4YNcejQIWzdulWlXHZ2Nn744QfUqVNH3vbWW2+plFm1ahXq1KmDuLi4Ep9D+/zzz+Ht7Q0AmDJlCnr06IHMzEzo6upixowZmDJlCoYOHQog/3fv8zmf46OPPsKqrSvKemmIiIiqDHvSiKjMchITcWdIIG4088Tt7n642aYtbvXwR9bBqEJljYyMMHToUHz44YfYt28fzp07h+HDh0OhUBQ5A5+DgwNycnKwZMkSXLp0CWvXri005biPjw9u376NefPmISkpCUuXLpWH5BUIDQ1FWFgYFi9ejMTERMTExGDJkiUAAF9fX7i5uWHQoEGIiYnBsWPHMGTIEHh7e8PT07Pc16U0saubJk2ayD9raGjA3NxcZfZACwsLAFAZ0lkgISFBZRgrgELrAGBra6uSoAFAYmIiAgICYG9vD2NjY3lmzpSUlFLHa2VlpRLbqVOnMHPmTBgaGsrLyJEjkZqaqpbDTZ9V0hDQ7OxsjB07FlZWVtDV1YWtrS3mzJkDAPK169OnDyRJKjTL6dq1a2FnZwcTExP873//w8OHD+V9ZR3yCgB5eXkYPnw4GjRoAD09PTg5OeHrr7+u2ItDRFTDMEkjojLJuXABt/16IisyEnhqyGHO6dO4EzAQT3b9VeiYBQsWoE2bNvDz84Ovry/atm0LFxcX+fmkp7m7u2PBggX48ssv0bhxY0RERMgfRgu4uLhg2bJlWLp0Kdzd3XHs2DG5N6fA0KFDsWjRIixbtgyNGjWCn58fEhMTAeQPDfv9999hZmaGN954A76+vrC3t8fPP//8QtemNLGrm+cN6SxIpJ83DLEkBgYGhbb5+/vj3r17WLFiBY4ePSrPkPm8YaElxZaRkYEZM2YgNjZWXs6cOYPExMQif9fUTUlDQBcvXowtW7bgl19+QUJCAiIiIuRkLDo6GkD+hDypqanyOpA/Q+nmzZuxdetWbN26Ffv378fcuXNV2i3rkFelUonXXnsNv/76K+Li4jB9+nR8+umnat9rTERUrYhXTFpamgAg0tLSqjoUolfS7f7/E9dsbMU169cKL/VsxPUmTYUyO7vEOjIyMoSJiYlYuXJlJUVd0zwSQpwWQpwRQjwptpS3t7cICgpS2WZraysWLlyosg2A2LRpk9i3b58AIO7fvy+EEGLAgAHCz89Ppew777wjTExM5PWQkBDh7u6uUubOnTsCgPj777/lbQcOHJDbEUKIy5cvCwDi5MmTQghRqG0hhDh58qQAIC5fviyEEMLLy0sMGzas2POtbm7fvi0AiDNnzohx48aJDh06CKVSWWTZp69dgZCQEKGvry/S09PlbR9++KFo1aqVvO7t7S3atWsnr+fm5goDAwMxePBgeVtqaqoAIA4fPlxsrB988IF46623ynqKREQVrrrmBnwmjYhKLffaNWQdPFh8ASGgvHMHmfv2Qa9zZ3nzyZMncf78ebRs2RJpaWmYOXMmAKBXr14VHXINkwlgGYCN//4MAAYA+gN4Dy/7MeRx48bhjTfewIIFC+Dv74+9e/dix44dz32RtJmZGczNzbF8+XJYWVkhJSUFU6ZMeeF4pk+fDj8/P9SvXx/9+vWDQqHAqVOncPbsWcyePfuF669oiYmJmD59Oo4ePYo7d+7IPYQpKSkIDAxEp06d4OTkhK5du8LPzw+dn/obK86zM5RaWVkVGrpaniGvS5cuxapVq5CSkoInT54gOzubM0kSEb1EHO5IRKWWd6Xk54UAAApFkeXmz58Pd3d3+Pr64tGjRzhw4ABq165dAVHWVLkAggCsx38JGgA8ArAawMcAyj9ksSht27bFd999hwULFsDd3R07d+7EhAkTnju0UKFQYP369Thx4gQaN26MCRMm4KuvvnrheLp06YKtW7di165daNGiBVq3bo2FCxfC1tb2heuuDCUNAW3WrBkuX76MWbNm4cmTJ+jfvz/69ev33DpLmo20pDIlDStdv349Jk+ejOHDh2PXrl2IjY3Fu+++q7YzmBIRVUfsSSOiUpNMTJ5fSKmEZGysssnDwwMnTpyooKgo358AirvGAsB+AFEA2stbIyMjC5VMTk4ufPRTzx6KZ159MHLkSHkmyIJ1BwcHeT00NBShoaGF6vT19UVcXFyx7djZ2ams+/j4FGq7adOmhbZ16dIFXbp0KdSeurt79y4SEhKwYsUKtG+ff48OPtNrbWxsjAEDBmDAgAHo168funbtinv37qFWrVrQ0tJCXl5epcQaFRUFLy8vjBkzRt729DvuiIjoxTFJI6JS02rkCg07O+RduaIyaYgKbW3odXn+MCx62TYCkJCfkBVFA8AmPJ2kvQzz589Hp06dYGBggB07dmDNmjVYtmzZS22jusq4/Qjnd1/E/ZQ0aOpqwq6VDWxb1INCo/AglucNAV2wYAGsrKzg4eEBhUKBX3/9FZaWlvKLwwteOdG2bVvo6OjAzMysws7L0dERP/zwA/788080aNAAa9euRXR0NBo0aFBhbRIR1TQc7khEpSZJEkw+mVJ8ggbAaPR7UPz7wZEq0zUUn6ABQB6AUgxXLaNjx46hU6dOcHNzw3fffYfFixdjxIgRL72d6ubcjgv4aeQmxPxyFpcOpyAx8jJ2zdmP34K34dHdwq8DeN4QUCMjI8ybNw+enp5o0aIFkpOTsX37dvl9fGFhYfjrr79gY2MDDw+PCj239957D3379sWAAQPQqlUr3L17V6VXjYiIXpwknh0rUs2lp6fDxMQEaWlpMH5myBURvRyP1q9H2rQQiMePAU1NIC8PUChgOPo9GE/5GJKC3/9UvgEAShpyJgFoCoAvda5oKSf+wY6Z+4rcJykk1LI1xVsLukNSlDzBChERvbjqmhtwuCMRlZnB//4HPX9/ZG7fgdxr16AwM4OeXw9ocCKQKtQDwBIU35sm/i1DFe3kr2chKSQIZeF7IZQCdy/fxz+nb+C1plZVEB0REVUHTNKIqFwUBgbQf/v5s8tRZekN4GcAd5A/tPFpGgBeA9C1kmOqebIf5+BG/O0Sy0gaEq4cu8YkjYiIisUxSURErwRj5A9ldPp3XYH8IY4A0ATA9wBKnhqfXlxebulmWMzNqZyZGImIqHpiTxoR0SvDGsAPAM4CiEV+ktYCQMMqjKlm0TXUgZ6pLp48yCy2jMgTqG1fqxKjIiKi6oY9aUREr5zGAN4BMAhM0CqXpJDQ2M/5v07MQgUATR0NOHrbVWZYRERUzTBJIyIieonce7vAqpFFoURNUkiQJAkdJ7WDtr521QRHRETVAoc7EhERvUQaWhroEdoB57ZfwNltCXh4MwMKDQl2rW3QtE8j1HE0r+oQiYhIzTFJIyIiesk0tDTQpJcLmvRyQV6uEgqN/F40IiKi0mCSRkREVIE0NPlkARERlQ3/5SAioiqzevVqmJqayuuhoaFo2rRplcVDRESkDpikERFRlRkwYAAuXLhQ1WEQERGpFQ53JCKiKqOnpwc9Pb2qDoOIiEitsCeNiIjKTalUYs6cOWjQoAH09PTg7u6O3377DQAQGRkJSZKwbds2NGnSBLq6umjdujXOnj0rH//scMeirFy5Ei4uLtDV1YWzszOWLVsm70tOToYkSVi/fj28vLygq6uLxo0bY//+/XKZ+/fvY9CgQahTpw709PTg6OiI8PBwAECHDh0wduxYlfZu374NbW1t7Nmz50UvDxERUbkwSSMionKbM2cOfvjhB3z33Xc4d+4cJkyYgHfeeUclSfrwww8RFhaG6Oho1KlTB/7+/sjJySlV/REREZg+fTo+//xzxMfH44svvsC0adOwZs0alXIffvghJk2ahJMnT6JNmzbw9/fH3bt3AQDTpk1DXFwcduzYgfj4eHz77beoXbs2AGDEiBH46aefkJWVJdf1448/ol69eujQocOLXh4iIqJyYZJGRETlkpWVhS+++AKrVq1Cly5dYG9vj8DAQLzzzjv4/vvv5XIhISHo1KkT3NzcsGbNGty8eRObNm0qVRshISEICwtD37590aBBA/Tt2xcTJkxQqR8Axo4di7feegsuLi749ttvYWJigv/7v/8DAKSkpMDDwwOenp6ws7ODr68v/P39AQB9+/YFAPz+++9yXatXr0ZgYCCnzCcioirDZ9KIiKhcLl68iMePH6NTp04q27Ozs+Hh4SGvt2nTRv65Vq1acHJyQnx8/HPrf/ToEZKSkjB8+HCMHDlS3p6bmwsTExOVsk+3oampCU9PT7mN999/H2+99RZiYmLQuXNn9O7dG15eXgAAXV1dDB48GKtWrUL//v0RExODs2fPYsuWLWW4EkRERC8XkzQiIiqXjIwMAMC2bdtQr149lX06OjpISkp6KfWvWLECrVq1UtmnoaFR6nq6deuGK1euYPv27fjrr7/QsWNHfPDBB5g/fz6A/CGPTZs2xbVr1xAeHo4OHTrA1tb2hWInIiJ6ERzuSERE5eLq6godHR2kpKTAwcFBZbGxsZHLHTlyRP75/v37uHDhAlxcXJ5bv4WFBaytrXHp0qVC9Tdo0ECl7NNt5Obm4sSJEypt1KlTB0OHDsWPP/6IRYsWYfny5fI+Nzc3eHp6YsWKFfjpp58wbNiwcl2P6up576YrzeQuRET0crEnjYgqXXJyMho0aICTJ0++9BcXBwYG4sGDB9i8efNLrXf16tUIDg7GgwcPXmq96icXwF4AWwDcBlAXQC8APnj2nwwjIyNMnjwZEyZMgFKpRLt27ZCWloaoqCgYGxvLvVEzZ86Eubk5LCws8Nlnn6F27dro3bt3qaKZMWMGxo8fDxMTE3Tt2hVZWVk4fvw47t+/j4kTJ8rlli5dCkdHR7i4uGDhwoW4f/++nGxNnz4dzZs3R6NGjZCVlYWtW7cWShJHjBiBsWPHwsDAAH369CnHdXt1DRgwAN27d6/qMIiIahT2pBFRtVQw9XpsbGyltFczXrr8CMAoAJ8COAYgCcBRAFMAvA/gcaEjZs2ahWnTpmHOnDlwcXFB165dsW3bNpWerrlz5yIoKAjNmzfHjRs38Mcff0BbW7tUEY0YMQIrV65EeHg43Nzc4O3tjdWrVxfqSZs7dy7mzp0Ld3d3HDx4EFu2bJFncNTW1sYnn3yCJk2a4I033oCGhgbWr1+vcnxAQAA0NTUREBAAXV3d0l6wak0Igdzc3OeW09PTQ926dSshIiIiKsAkjYgqTFHTrGdnZ1dBJC+uZnxQ/RJAwTvMlM/89xSArwodIUkSgoKCcP78eWRnZ+PWrVvYuXMn3njjDblMu3btcPbsWWRlZeHo0aNo0qSJvK+g57NAaGhoocR74MCBOHnyJLKysnDv3j3s37+/UG+Xi4sLjh49iqysLJw7dw5vvvmmvG/q1KmIi4vD48ePcffuXWzevLlQknfnzh1kZmZi+PDhpbhOVcPHxwdjx47F2LFjYWJigtq1a2PatGkQQgAA1q5dC09PTxgZGcHS0hIDBw7ErVu35OML3lu3Y8cONG/eHDo6Ojh48GChdpKSkmBvb4+xY8dCCFFouGPB8Mi1a9fCzs4OJiYm+N///oeHDx/KZX777Te4ublBT08P5ubm8PX1xaNHjwDkv1tv5syZeO2116Cjo4OmTZti586d8rEFX8Bs3LgRb775JvT19eHu7o7Dhw+/7EtKRKS2mKQRUant3LkT7dq1g6mpKczNzeHn5ydPDlHwwernn3+Gt7c3dHV1ERERgcDAQPTu3Ruff/45rK2t4eTkJNd36dKlIj+EPXr0CMbGxvJLkQts3rwZBgYGePjwofwh28PDA5IkwcfHR6Xs/PnzYWVlBXNzc3zwwQcqCaOdnR1mz56NIUOGwNDQELa2ttiyZQtu376NXr16wdDQEE2aNMHx48flY579oJqUlIRevXrBwsIChoaGaNGiBXbv3v1SrnPVuANgJ/5Lyp6lBLAdwL1Ki6gy5OTk4MaNG5g6dSpat26NZs2aVXVIJVqzZg00NTVx7NgxfP3111iwYAFWrlwJIP9cZs2ahVOnTmHz5s1ITk5GYGBgoTqmTJmCuXPnIj4+XiVhBoDTp0+jXbt2GDhwIL755ptiX0OQlJSEzZs3Y+vWrdi6dSv279+PuXPnAgBSU1MREBCAYcOGIT4+HpGRkejbt6+cTH799dcICwvD/Pnzcfr0aXTp0gU9e/ZEYmKiShufffYZJk+ejNjYWDRs2BABAQGl6vkjInoliFdMWlqaACDS0tKqOhSiV85vv/0mNmzYIBITE8XJkyeFv7+/cHNzE3l5eeLy5csCgLCzsxMbNmwQly5dEtevXxdDhw4VhoaGYvDgweLs2bPi7NmzcllnZ2exdetWkZCQIPr16ydsbW1FTk6OEEKIkSNHiu7du6u037NnTzFkyBAhhBDHjh0TAMTu3btFamqquHv3rhBCiKFDhwpjY2MxevRoER8fL/744w+hr68vli9fLtdja2sratWqJb777jtx4cIF8f777wtjY2PRtWtX8csvv4iEhATRu3dv4eLiIpRKpRBCiPDwcGFiYiLXERsbK7777jtx5swZceHCBTF16lShq6srrly5UpG3oAL9JYRoXoplb6lr3LdvnwAg7t+//7KDlRX8Lp08ebJcxxfE2LBhQ3H69OmXG9xL5u3trfI7KYQQH3/8sXBxcSmyfHR0tAAgHj58KIT471w3b96sUi4kJES4u7uLqKgoYWZmJubPn6+y/9nf/ZCQEKGvry/S09PlbR9++KFo1aqVEEKIEydOCAAiOTm5yLisra3F559/rrKtRYsWYsyYMUKI/+7pypUr5f3nzp0TAER8fHyRdRIRFae65gZM0oio3G7fvi0AiDNnzsgfrBYtWqRSZujQocLCwkJkZWXJ20rzIezo0aNCQ0NDXL9+XQghxM2bN4WmpqaIjIxUqePZD+dDhw4Vtra2Ijc3V9729ttviwEDBsjrtra24p133pHXU1NTBQAxbdo0edvhw4cFAJGamiqEKPxBtSiNGjUSS5YsKbGM+vpTlC5J211VAdZ43t7e4t1331XZtnnzZqGpqSlyc3PF8ePHhZ+fn7CxsRGGhoZCX19fABDnzp0TQvyXpF27dk2ljpCQEGFmZib09fXFwoULC7VbVJLm6uqqUmbBggWiQYMGQgghcnNzRceOHYWRkZHo16+fWL58ubh3754Q4r9/owv+jgsEBweLN998Uwjx39/2sWPH5P337t0TAMT+/fvLcMWIiKpvbsDhjkRUaomJiQgICIC9vT2MjY1hZ2cHAEhJSZHLeHp6FjrOzc2tyIkinh5qZWVlBQDyMzQtW7ZEo0aNsGbNGgDAjz/+CFtbW5VnnYrTqFEjlfdoWVlZqTyb82zbFhYWcpzPbnv2uAIZGRmYPHkyXFxcYGpqCkNDQ8THx6tci+rFDUDRQ9v+IwFoXAmxUFllZmaiS5cuMDY2RkREBKKjo7Fp0yYAhZ8DNTAwKHR8nTp10LJlS6xbtw7p6enPbU9LS0tlXZIkKJX5Q2U1NDTw119/YceOHXB1dcWSJUvg5OSEy5cvl+mcnm6jYNhlQRtERK86JmlEVGr+/v64d+8eVqxYgaNHj+Lo0aMAVD8EFvUBsKhtwPM/hI0YMQKrV68GAISHh+Pdd98t9hmZ4uotqPvZD3dFtV2WD4WTJ0/Gpk2b8MUXX+DAgQOIjY2Fm5tbtZ0YBbAC8AaA4l4SrQDQAYBFpUVUcwgAd5H/yoOSk5CCv7kCR44cgaOjI86fP4+7d+9i7ty5aN++PZydnYv9gqEoenp62Lp1K3R1ddGlSxeVSUDKQ5IktG3bFjNmzMDJkyehra2NTZs2wdjYGNbW1oiKilIpHxUVBVdX1xdqk4joVcIkjaiGE0JAZOZCZJX8QP7du3eRkJCAqVOnomPHjnBxccH9+/crNLZ33nkHV65cweLFixEXF4ehQ4fK+wp65vLy8io0huJERUUhMDAQffr0gZubGywtLZGcnFwlsbw8UwHUh2qPmvTv0gDAJ1UR1CtMAPgDQH8AXQB0A+AP4Efkv6+usJSUFEycOBEJCQlYt24dlixZgqCgINSvXx/a2tpYsmQJLl26hC1btmDWrFllisbAwADbtm2DpqYmunXrhoyMjHKd1dGjR/HFF1/g+PHjSElJwcaNG3H79m353XQffvghvvzyS/z8889ISEjAlClTEBsbi6CgoHK1R0T0KuLLrIlqKCEE8k6mIu/wVYi7TwAAkoUBNL3qQ9G4bqEeKzMzM5ibm2P58uWwsrJCSkoKpkyZUqExmpmZoW/fvvjwww/RuXNnvPbaa/K+unXrQk9PDzt37sRrr70GXV1dmJiYVGg8T3N0dMTGjRvh7+8PSZIwbdq0V2AolhmAH5D/Iuvf8d/LrHsD8AOgV2WRvZoWA1gL1aT4JoCvAZwBMAfPfpc6ZMgQPHnyBC1btoSGhgaCgoIwatQoSJKE1atX49NPP8XixYvRrFkzzJ8/Hz179ixTRIaGhtixYwe6dOmCHj16YPv27WU+K2NjY/z9999YtGgR0tPTYWtri7CwMHTr1g0AMH78eKSlpWHSpEm4desWXF1dsWXLFjg6Opa5LSKiVxWTNKIaSAiBnK0JUJ68obr91iPkbIqHxs0MaPm+rrJPoVBg/fr1GD9+PBo3bgwnJycsXry40NT3L9vw4cPx008/YdiwYSrbNTU1sXjxYsycORPTp09H+/btERkZWaGxPG3BggUYNmwYvLy8ULt2bXz88celepZH/ekBGPDvQhXnLPITNCC/R+1pAsAeALsBdFbZo6WlhUWLFuHbb78tVGNAQAACAgJUaxL/1e3j46OyXiA0NBShoaHyuqGhocpwxMDAQJWp/J8tDwDBwcEIDg4GkP/Ouqffe/YshUKBkJAQhISEFLnfzs6uUJympqZFxk5E9KqSxCv2f7309HSYmJggLS0NxsbGVR0OkVrKu3AHOevPllhG+10PKGwqr2eqOGvXrsWECRNw/fr1IicfIaqeQgHsAFDccF0FAHcAK+QtPj4+aNq0KRYtWlTRwRERvTKqa27AZ9KIaqC86H9KnshPAeQev15p8RTl8ePHSEpKwty5c/Hee+8xQaNXzEUUn6AB+ROIXKqkWIiISN0wSSOqgZQ3HxUeYaVSABA3Xmx2txc1b948ODs7w9LSEp98wgkr6FVjgOe/8kD1GcDIyEj2ohER1RBM0ohqIEmrFH/62sVNxV45QkNDkZOTgz179sDQ0LBKYyF6+Xyfs18Dzz6PRkRENQeTNKIaSOFat+Qv8SVAw6VOpcVDVPN0B1AHRb+XTgFAB/lT8xMRUU3EJI2oBtJsYQ1oaRSdqEkA9LSg4WFV2WER1SAGAL4DYP3vuib+m3DZFMAyAJaVHxYREakFJmlEVSw0NBRNmzat1DYlY11ov9ME0P33Q6FCyl8AwFAb2oPdIelpVWpMRDVPfQC/AVgE4G0AbwH4HMA2AI2rLiwiIqpyFZqkbdu2Da1atYKenh7MzMzQu3fvEssLITB9+nRYWVlBT08Pvr6+SExMrMgQiarc5MmTsWfPnkpvV/GaCXSC20CrlzM03C2h0dQSWn1doDO+NRQWfAasJvDx8ZHfbUX5Kv+aaABoB2ASgA8BdAHAL0iIiGq6CnuZ9YYNGzBy5Eh88cUX6NChA3Jzc3H2bMnvZZo3bx4WL16MNWvWoEGDBpg2bRq6dOmCuLg46OrqVlSoRFXK0NCwyibGkLQ08hM0dw6rIvUSGBiIBw8eYPPmzZXa7saNG6GlxSSJiIiqVoX0pOXm5iIoKAhfffUVRo8ejYYNG8LV1RX9+xf/ELQQAosWLcLUqVPRq1cvNGnSBD/88AOuX79e6f9IExXYuXMn2rVrB1NTU5ibm8PPzw9JSUkAgOTkZEiShI0bN+LNN9+Evr4+3N3dcfjwYZU6VqxYARsbG+jr66NPnz5YsGABTE1N5f3PDncMDAxE7969MX/+fFhZWcHc3BwffPABcnJy5DJr166Fp6cnjIyMYGlpiYEDB+LWrVsVei2IKkNeXh6USmWVtV+rVi0YGRlVWftERERABSVpMTEx+Oeff6BQKODh4QErKyt069atxJ60y5cv48aNG/D1/W9aYhMTE7Rq1arQh16iyvLo0SNMnDgRx48fx549e6BQKNCnTx+VD5GfffYZJk+ejNjYWDRs2BABAQHIzc0FAERFRWH06NEICgpCbGwsOnXqhM8///y57e7btw9JSUnYt28f1qxZg9WrV2P16tXy/pycHMyaNQunTp3C5s2bkZycjMDAwJd9+lQDKJVKfPTRR6hVqxYsLS0RGhoKABg2bBj8/PxUyubk5KBu3br4v//7PwD5QwPHjh2LsWPHwsTEBLVr18a0adMgxH8v4cvKysLkyZNRr149GBgYoFWrVoiMjJT3r169GqamptiyZQtcXV2ho6ODYcOGYc2aNfj9998hSRIkSZKPuXr1Kvr37w9TU1PUqlULvXr1QnJyslxfab7kWLZsGRwdHaGrqwsLCwv069dP3vfscMf79+9jyJAhMDMzg76+Prp166YyDL8g/j///BMuLi4wNDRE165dkZqaWt5bQkREBIgKsG7dOgFA1K9fX/z222/i+PHjIiAgQJibm4u7d+8WeUxUVJQAIK5fv66y/e233xb9+/cvtq3MzEyRlpYmL1evXhUARFpa2ks9JyIhhLh9+7YAIM6cOSMuX74sAIiVK1fK+8+dOycAiPj4eCGEEAMGDBA9evRQqWPQoEHCxMREXg8JCRHu7u7y+tChQ4Wtra3Izc2Vt7399ttiwIABxcYVHR0tAIiHDx++4BlSTeLt7S2MjY1FaGiouHDhglizZo2QJEns2rVLREVFCQ0NDZX/J2/cuFEYGBjIv2fe3t7C0NBQBAUFifPnz4sff/xR6Ovri+XLl8vHjBgxQnh5eYm///5bXLx4UXz11VdCR0dHXLhwQQghRHh4uNDS0hJeXl4iKipKnD9/XqSlpYn+/fuLrl27itTUVJGamiqysrJEdna2cHFxEcOGDROnT58WcXFxYuDAgcLJyUlkZWUJIfL/foyNjcXo0aNFfHy8+OOPP1Riio6OFhoaGuKnn34SycnJIiYmRnz99dcq1yQoKEhe79mzp3BxcRF///23iI2NFV26dBEODg4iOztbJX5fX18RHR0tTpw4IVxcXMTAgQMr5qYREVGZpKWlVcvcoEw9aVOmTJG/1SxuOX/+vNzL8Nlnn+Gtt95C8+bNER4eDkmS8Ouvv77UJHPOnDkwMTGRFxsbm5daP9VsiYmJCAgIgL29PYyNjWFnZwcASElJkcs0adJE/tnKKn/a+oKhhwkJCWjZsqVKnc+uF6VRo0bQ0Pjv/UlWVlYqwxlPnDgBf39/1K9fH0ZGRvD29i4UF1FpNGnSBCEhIXB0dMSQIUPg6emJPXv2wMvLC05OTli7dq1cNjw8HG+//bbKM5Q2NjZYuHAhnJycMGjQIIwbNw4LFy4EkP/7GB4ejl9//RXt27fH66+/jsmTJ6Ndu3YIDw+X68jJycGyZcvkNo2NjaGnpwcdHR1YWlrC0tIS2tra+Pnnn6FUKrFy5Uq4ubnBxcUF4eHhSElJUemdMzMzwzfffANnZ2f4+fmhR48e8uQ8KSkpMDAwgJ+fH2xtbeHh4YHx48cXeW0SExOxZcsWrFy5Eu3bt4e7uzsiIiLwzz//qAzDz8nJwXfffQdPT080a9YMY8eOrZLJgIiI6NVRpiRt0qRJiI+PL3Gxt7eXP6i6urrKx+ro6MDe3r7YD5GWlvkTF9y8eVNl+82bN+V9Rfnkk0+QlpYmL1evXi3LKRGVyN/fH/fu3cOKFStw9OhRHD16FACQnZ0tl3l6kgFJyp/G/kWfqXl24gJJkuQ6Hz16hC5dusDY2BgRERGIjo7Gpk2bCsVFVBpPf8kAqH4hMGLECDmZunnzJnbs2IFhw4aplG/durX8ew8Abdq0QWJiIvLy8nDmzBnk5eWhYcOG8gQ5hoaG2L9/v/xsJwBoa2sXiqMop06dwsWLF2FkZCTXVatWLWRmZqrUV9KXHJ06dYKtrS3s7e0xePBgRERE4PHjx0W2Fx8fD01NTbRq1UreZm5uDicnJ8THx8vb9PX18frrrxfZHhERUXmUaXbHOnXqoE6dOs8t17x5c+jo6CAhIQHt2rUDkP9NY3JyMmxtbYs8pkGDBrC0tMSePXvkSRTS09Nx9OhRvP/++8W2paOjAx0dnbKcBtVgIk8JZcIdiLtPAB0NaDjXhmRc9Myhd+/eRUJCAlasWIH27dsDAA4ePFim9pycnBAdHa2y7dn1oty6dQvt2rXD2bNnoaGhAWNjY9StWxcAsHfvXty9exdeXl74+OOPERMTg9q1a6scHxkZiTfffBO7d+/Gxx9/jLi4ODRt2hTh4eFwcnKSy/3++++YMWMG4uLiYG1tjaFDh+Kzzz6Dpmb+/xoWLFiA8PBwXLp0CbVq1YK/vz/mzZtXZbNR0stX0hcCQ4YMwZQpU3D48GEcOnQIDRo0kP8WSiMjIwMaGho4ceKEStIEQOV3SE9PTyXRK6m+5s2bIyIiotC+p/9tKumcjIyMEBMTg8jISOzatQvTp09HaGgooqOjVSb0KYui2hNPPZdHRERUVhUycYixsTFGjx6NkJAQ7Nq1CwkJCXKi9fbbb8vlnJ2d5R4ASZIQHByM2bNnY8uWLThz5gyGDBkCa2vr575fjag08i7cRdaCQ8j5LQ65+5OR++dFZH19BNlbEyDyCvd8mZmZwdzcHMuXL8fFixexd+9eTJw4sUxtjhs3Dtu3b8eCBQuQmJiI77//Hjt27HjuB9Lc3FyVCUskScK5c+egVCphbW0NIH/48TvvvIOwsDBkZGQAAB48eKBSz2effYawsDAcP34cmpqaKr0gBw4cwJAhQxAUFIS4uDh8//33WL16tcrEJgqFAosXL8a5c+ewZs0a7N27Fx999FGZrgFVX+bm5ujduzfCw8OxevVqvPvuu4XKFPQuFzhy5AgcHR2hoaEBDw8P5OXl4datW3BwcFBZShohAeT3ruXl5alsa9asGRITE1G3bt1C9ZmYmJT6vDQ1NeHr64t58+bh9OnTSE5Oxt69ewuVc3FxQW5urso5Fnx58/RIESIiopetwl5m/dVXX+F///sfBg8ejBYtWuDKlSvYu3cvzMzM5DIJCQlIS0uT1z/66COMGzcOo0aNQosWLZCRkYGdO3fyHWn0wpRXHiDn5zPAk9x/NwhAABCA8mQqcrZeKHSMQqHA+vXrceLECTRu3BgTJkzAV199VaZ227Zti++++w4LFiyAu7s7du7ciQkTJjz3d9ra2hp9+/aFg4MDmjZtik6dOuHRo0eIi4uDubk5gPxv7ydOnIiIiAh55sdnX1fx+eefw9vbG66urpgyZQoOHTqEzMxMAMCMGTMwZcoUDB06FPb29ujUqRNmzZqF77//Xj4+ODgYb775Juzs7NChQwfMnj0bv/zyS5muAVUu5c0M5PyVhOzN8cjZcwnKO49eqL4RI0ZgzZo1iI+Px9ChQwvtT0lJwcSJE5GQkIB169ZhyZIlCAoKAgA0bNgQgwYNwpAhQ7Bx40ZcvnwZx44dw5w5c7Bt27YS27Wzs8Pp06eRkJCAO3fuICcnB4MGDULt2rXRq1cvHDhwAJcvX0ZkZCTGjx+Pa9eulep8tm7disWLFyM2NhZXrlzBDz/8AKVSqdLDXMDR0RG9evXCyJEjcfDgQZw6dQrvvPMO6tWrh169epWqPSIiovKosJdZa2lpYf78+Zg/f36xZZ4dDiJJEmbOnImZM2dWVFhUQ+XsTy5+pwCUp25A2d4Wilp6Krt8fX0RFxenWvyp39tnf4dNTU0LbRs5ciRGjhypsu7g4CCvh4aGytOeA/lTehdMWHL06FHcuXNHHqqVkpIif4O/efNmvPHGG/JxvXv3VvnSAyh+UpP69evj1KlTiIqKUuk5y8vLQ2ZmJh4/fgx9fX3s3r0bc+bMwfnz55Geno7c3FyV/aQ+hFKJnD8uQHnqBqCQACEASUJeVAoULayh1dWxVEMKn+Xr6wsrKys0atRI7sV92pAhQ/DkyRO0bNkSGhoaCAoKwqhRo+T94eHhmD17NiZNmoR//vkHtWvXRuvWrQtN7/+skSNHIjIyEp6ensjIyMC+ffvg4+ODv//+Gx9//DH69u2Lhw8fol69eujYsSOMjY1LdT6mpqbYuHEjQkNDkZmZCUdHR6xbtw6NGjUqsnx4eDiCgoLg5+eH7OxsvPHGG9i+fTtfeE1ERBVKEq/YwPn09HSYmJggLS2t1P9o06tNPMpGVtihkgtJgKZPA2i2L/qZyRcxf/58dOrUCQYGBtixYwcmTZqEZcuWYcSIEcUe4+zsDFtbW3z00UewtraGUqlE48aNsWnTJjRt2hQNGjTA/v37VZK0Pn36wNTUFOHh4fIzaffv35efs4mNjYWHhwcuX74MOzs76OnpYcaMGejbt2+h9gsm+XF2dsb777+PAQMGoFatWjh48CCGDx+uUi+ph5xdF5F3pPjeJE0fO2i+YVfmejMyMlCvXj2Eh4cX+l3x8fFB06ZNsWjRojLXS0REVBmqa25QYT1pROpCZOY+v5Akla5cORw7dgzz5s3Dw4cPUb9efXw+9QsMHza82PKlnbDkyJEjcpKWm5uLEydOYOzYsaWOq1mzZkhISFDp1XvaiRMnoFQqERYWBoUif2Q0hzqqJ/EkB3nR/5RYJvfQVWi0sYGkpVFiuQJKpRJ37txBWFgYTE1N0bNnz5cRKhEREZUCkzR65UmG2oCGBOSV0GmsFJDMKubZxxVf/x+ilkfjasz1/A0ngJ9GboLnIHc4dXi9UPmnJyyxsrJCSkoKpkyZUqjc0qVL4ejoCBcXFyxcuBD3798vND16SaZPnw4/Pz/Ur18f/fr1g0KhwKlTp3D27FnMnj0bDg4OyMnJwZIlS+Dv74+oqCh899135b4OVHGUl+6X/PsNANl5UF5Jg4ZDrVLVmZKSggYNGuC1117D6tWr5Rk/iYiIqOJV2MQhROpC0tGEonHd/Od0iqMhQaNx3ZfedvrNDGz+cCeuxaaqbM+48xiRXx/G6S3xhY4p7YQlc+fOxdy5c+Hu7o6DBw9iy5YthabiL0mXLl2wdetW7Nq1Cy1atEDr1q2xcOFC+TUZ7u7uWLBgAb788ks0btwYERERmDNnThmvAFWK3FK+ly837/ll/mVnZwchBK5evYqOHTsWWSYyMpJDHalYycnJkCQJsbGxpSpvZ2f3wr9PgYGBnBGaiF4JfCaNagSRnomsFSfyZ3dUFv6V1+zREJrNC0+K8KL2LDiIpANXIIpoEwAUmgoMDn8Lusalf9dfcnIyGjRogJMnT8rvFKSaTZn6ENkrTjy3nPbYllDU4oQvVDnK+v8qOzs7BAcHIzg4uNxtpqWlQQjBZ2aJSFZdcwP2pFGNIBnrQmdEcyicawNPdahJ5vrQ6udaIQla9uMcJB0sPkEDAGWeEhf/vvzS26aaRWFlBMnKUOV3W4UESHamTNDolWdiYlIlCVp2dnalt0lErzYmaVRjSCa60O7XCDoTvaA9vBm0x7SA9pgW0HB9+cMcAeDJgycQz3lOSKGhwMNbL/YeKyIA0OrlAmhrFh7WKwHQ04KWf+H3gBG9qJ07d6Jdu3YwNTWFubk5/Pz8kJSUVGTZwMBASJJUaImMjJTLPH78GMOGDYORkRHq16+P5cuXq9Rx9epV9O/fH6ampqhVqxZ69eqF5ORklTaeHu7o4+ODcePGITg4GGZmZrCwsMCKFSvw6NEjvPvuuzAyMoKDgwN27Nih0s7Zs2fRrVs3GBoawsLCAoMHD8adO3dU6h07diyCg4NRu3ZtdOnSpfwXkYioCEzSqMaRDLShqGcMRW2Dcr03qrR0DJ8/hFEoRZmGOgL/PSvEoY70NEVdA2iPag6NppaA5r//a9dSQMPTGjqjmkNhpldyBUTl8OjRI0ycOBHHjx/Hnj17oFAo0KdPH/ndjk/7+uuvkZqaKi9BQUGoW7cunJ2d5TJhYWHw9PTEyZMnMWbMGLz//vtISEgAAOTk5KBLly4wMjLCgQMHEBUVBUNDQ3Tt2rXEnqw1a9agdu3aOHbsGMaNG4f3338fb7/9Nry8vBATE4POnTtj8ODBePz4MQDgwYMH6NChAzw8PHD8+HHs3LkTN2/eRP/+/QvVq62tzUmViKhC8Jk0ogq0LWQP/jl9o8QhjwHLe8PYwrASo6JXnVAqgew8QFsTUkkT5hC9ZHfu3EGdOnVw5swZGBoaFvtM2saNGzFo0CDs3r0bbdu2BZD/BVT79u2xdu1aAIAQApaWlpgxYwZGjx6NH3/8EbNnz0Z8fLz8BVt2djZMTU2xefNmdO7cGYGBgXjw4AE2b94MIL/HKy8vDwcOHAAA5OXlwcTEBH379sUPP/wAALhx4wasrKxw+PBhtG7dGrNnz8aBAwfw559/yvFeu3YNNjY2SEhIQMOGDeHj44P09HTExMRU5OUkopeguuYG7EkjqkAtBrnnf5go5nOya1dHJmj00kkKBSRdLSZoVOESExMREBAAe3t7GBsbw87ODkD+KxyKc/LkSQwePBjffPONnKAVaNKkifyzJEmwtLTErVu3AACnTp3CxYsXYWRkBENDQxgaGqJWrVrIzMwsdojls3VqaGjA3Nwcbm5u8jYLCwsAUGln3759chuGhoZyb9/T7TRv3rzEa0NE9CL44huiClS3YW10C3kTkV8fwqO7TyBJEoQQkDQkNO7hhNaBzao6RCKicvP394etrS1WrFgBa2trKJVKNG7cuNjhhzdu3EDPnj0xYsQIDB8+vNB+LS0tlXVJkuShkxkZGWjevDkiIiIKHVenTp1iYyyqzqe3FfTKPd2Ov78/vvzyy0J1WVlZyT8bGBgU2yYR0YtikkZUwV5zt8LAFX1wLTYVD/5Jh7aeFmxbvgY9k4p5eTYR0YtRAogBkALACIAXgMIJyd27d5GQkIAVK1agffv2AICDBw8WW2tmZiZ69eoFZ2dnLFiwoMxRNWvWDD///DPq1q1boUOWmjVrhg0bNsDOzo4vcSeiKsPhjkSVQKGhQP3m9dCkpwucOzkwQSMiNXUcQC8AowF8AeATAF0ArASg+mytmZkZzM3NsXz5cly8eBF79+7FxIkTi635vffew9WrV7F48WLcvn0bN27cwI0bN0o9ff2gQYNQu3Zt9OrVCwcOHMDly5cRGRmJ8ePH49q1a+U73SJ88MEHuHfvHgICAhAdHY2kpCT8+eefePfdd5GXV/oXwhMRvQgmaURERATgNIAPANx4ZnsmgO/+Xf6jUCiwfv16nDhxAo0bN8aECRPw1VdfFVv7/v37kZqaCldXV1hZWcnLoUOHShWdvr4+/v77b9SvXx99+/aFi4sLhg8fjszMzJfas2ZtbY2oqCjk5eWhc+fOcHNzQ3BwMExNTaFQ8GMTEVUOzu5IREREAEYBiEX+cMeiaADYAaBWZQVERPTCqmtuwK+EiIiIarxbyH8OrbgEDf/u+6tywiEiquGYpBEREdV490tRRqOU5YiI6EUxSSMiIqrxaqPYFzrK8gDUrYRYiIiISRoREVGNZw6gLUr+WKAFoFPlhENEVMMxSSMiIiIAYwHooPiPBuOQ/940IiKqaEzSiIiICIAD8t+H1uiZ7bUBTAUQUOkRERHVVJpVHQARERGpCycA4QCSAVwDYAjADfmThhARUWVhkkZERETPsPt3ISKiqsDhjkRERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqZEKTdK2bduGVq1aQU9PD2ZmZujdu3exZXNycvDxxx/Dzc0NBgYGsLa2xpAhQ3D9+vWKDJGIiIiIiEitVFiStmHDBgwePBjvvvsuTp06haioKAwcOLDY8o8fP0ZMTAymTZuGmJgYbNy4EQkJCejZs2dFhUhERERERKR2JCGEeNmV5ubmws7ODjNmzMDw4cPLXU90dDRatmyJK1euoH79+qU6Jj09HSYmJkhLS4OxsXG52yYiIiIiouqtuuYGFdKTFhMTg3/++QcKhQIeHh6wsrJCt27dcPbs2TLVk5aWBkmSYGpqWmyZrKwspKenqyxERERERETVVYUkaZcuXQIAhIaGYurUqdi6dSvMzMzg4+ODe/fulaqOzMxMfPzxxwgICCgx650zZw5MTEzkxcbG5qWcAxERERERUVUoU5I2ZcoUSJJU4nL+/HkolUoAwGeffYa33noLzZs3R3h4OCRJwq+//vrcdnJyctC/f38IIfDtt9+WWPaTTz5BWlqavFy9erUsp0RERERERKRWNMtSeNKkSQgMDCyxjL29PVJTUwEArq6u8nYdHR3Y29sjJSWlxOMLErQrV65g7969zx07qqOjAx0dndKdABERERERkZorU5JWp04d1KlT57nlmjdvDh0dHSQkJKBdu3YA8pOv5ORk2NraFntcQYKWmJiIffv2wdzcvCzhERERERERVXsV8kyasbExRo8ejZCQEOzatQsJCQl4//33AQBvv/22XM7Z2RmbNm0CkJ+g9evXD8ePH0dERATy8vJw48YN3LhxA9nZ2RURJhERERERkdopU09aWXz11VfQ1NTE4MGD8eTJE7Rq1Qp79+6FmZmZXCYhIQFpaWkAgH/++QdbtmwBADRt2lSlrn379sHHx6eiQiUiIiIiIlIbFfKetKpUXd+FQEREREREL1d1zQ0qZLgjERERERERlQ+TNCIiIiIiIjXCJI2IiIiIiEiNMEkjIiIiIiJSI0zSiIiI1FxycjIkSUJsbGxVh0JERJWASRoREVEFCAwMRO/evas6DCIiqoaYpBEREVWhnJycqg6BiIjUDJM0IiKiF/Dbb7/Bzc0Nenp6MDc3h6+vLz788EOsWbMGv//+OyRJgiRJiIyMlIct/vzzz/D29oauri4iIiKgVCoxc+ZMvPbaa9DR0UHTpk2xc+fOYtvMy8vDsGHD4OzsjJSUFADA77//jmbNmkFXVxf29vaYMWMGcnNzK+syEBHRS6RZ1QEQERFVV6mpqQgICMC8efPQp08fPHz4EAcOHMCQIUOQkpKC9PR0hIeHAwBq1aqF69evAwCmTJmCsLAweHh4QFdXF19//TXCwsLw/fffw8PDA6tWrULPnj1x7tw5ODo6qrSZlZWFgIAAJCcn48CBA6hTp47c5uLFi9G+fXskJSVh1KhRAICQkJDKvShERPTCmKQRERGVU2pqKnJzc9G3b1/Y2toCANzc3AAAenp6yMrKgqWlZaHjgoOD0bdvX3l9/vz5+Pjjj/G///0PAPDll19i3759WLRoEZYuXSqXy8jIQI8ePZCVlYV9+/bBxMQEADBjxgxMmTIFQ4cOBQDY29tj1qxZ+Oijj5ikERFVQ0zSiIiIysnd3R0dO3aEm5sbunTpgs6dO6Nfv34wMzMr8ThPT0/55/T0dFy/fh1t27ZVKdO2bVucOnVKZVtAQABee+017N27F3p6evL2U6dOISoqCp9//rm8LS8vD5mZmXj8+DH09fVf5DSJiKiS8Zk0IiKictLQ0MBff/2FHTt2wNXVFUuWLIGTkxMuX75c4nEGBgblaq979+44ffo0Dh8+rLI9IyMDM2bMQGxsrLycOXMGiYmJ0NXVLVdbRERUddiTRkREVMgDANsB/APAGEBnAA2KLClJEtq2bYu2bdti+vTpsLW1xaZNm6CtrY28vLzntmRsbAxra2tERUXB29tb3h4VFYWWLVuqlH3//ffRuHFj9OzZE9u2bZPLN2vWDAkJCXBwcCjX2RIRkXphkkZERKRiPYBFAPIAaAAQAFYA6AZgGgBtueTRo0exZ88edO7cGXXr1sXRo0dx+/ZtuLi4IDMzE3/++ScSEhJgbm4uPz9WlA8//BAhISF4/fXX0bRpU4SHhyM2NhYRERGFyo4bNw55eXnw8/PDjh070K5dO0yfPh1+fn6oX78++vXrB4VCgVOnTuHs2bOYPXv2y7w4RERUCZikERERyXYCmP/Ueu4z+7SRn6jlMzY2xt9//41FixYhPT0dtra2CAsLQ7du3eDp6YnIyEh4enoiIyMD+/btg52dXZGtjh8/HmlpaZg0aRJu3boFV1dXbNmypdDMjgWCg4OhVCrRvXt37Ny5E126dMHWrVsxc+ZMfPnll9DS0oKzszNGjBjxgteDiIiqgiSEEFUdxMuUnp4OExMTpKWlwdjYuKrDISKiakMA6AvgagllJAB/ACg8YyMREamf6pobcOIQIiIiAMAllJygFYis4DiIiKimY5JGREQEAHhSijKKUpYjIiIqPyZpREREAIB6eP4/i3kobpZHIiKil4VJGhEREQDADEBH5M/oWBQJQC0A7SotIiIiqpmYpBEREcmCkZ+IPZuoKf5dZoITIxMRUUVjkkZERCSzAPADgJ74731oEoBWAFYCaF1FcRERUU3CrwOJiIhU1AHwGYBJAO4BMPp3ISIiqhxM0oiIiIqkC8C6qoMgIqIaiMMdiYiIiIiI1AiTNCIiIiIiIjXCJI2IiIiIiEiNMEkjIiIiIiJSI0zSiIiIiIiI1AiTNCIiIiIiIjXCJI2IiIiIiEiNMEkjIiIiIiJSI0zSiIiIiIiI1AiTNCIiIiIiIjXCJI2IiIiIiEiNMEkjIiIiIiJSI0zSiIiIiIiI1IhmVQfwsgkhAADp6elVHAkREREREVWlgpygIEeoLl65JO3hw4cAABsbmyqOhIiIiIiI1MHDhw9hYmJS1WGUmiSqW1r5HEqlEtevX4eRkREkSarqcNRCeno6bGxscPXqVRgbG1d1OFRGvH/VG+9f9cb7V73x/lVvvH/Vm7rcPyEEHj58CGtraygU1edJr1euJ02hUOC1116r6jDUkrGxMf8nV43x/lVvvH/VG+9f9cb7V73x/lVv6nD/qlMPWoHqk04SERERERHVAEzSiIiIiIiI1AiTtBpAR0cHISEh0NHRqepQqBx4/6o33r/qjfeveuP9q954/6o33r8X88pNHEJERERERFSdsSeNiIiIiIhIjTBJIyIiIiIiUiNM0oiIiIiIiNQIkzQiIiIiIiI1wiTtFXXv3j0MGjQIxsbGMDU1xfDhw5GRkVGqY4UQ6NatGyRJwubNmys2UCpSWe/fvXv3MG7cODg5OUFPTw/169fH+PHjkZaWVolR11xLly6FnZ0ddHV10apVKxw7dqzE8r/++iucnZ2hq6sLNzc3bN++vZIipaKU5f6tWLEC7du3h5mZGczMzODr6/vc+00Vq6x/fwXWr18PSZLQu3fvig2QSlTW+/fgwQN88MEHsLKygo6ODho2bMj/h1ahst6/RYsWyZ9VbGxsMGHCBGRmZlZStNWMoFdS165dhbu7uzhy5Ig4cOCAcHBwEAEBAaU6dsGCBaJbt24CgNi0aVPFBkpFKuv9O3PmjOjbt6/YsmWLuHjxotizZ49wdHQUb731ViVGXTOtX79eaGtri1WrVolz586JkSNHClNTU3Hz5s0iy0dFRQkNDQ0xb948ERcXJ6ZOnSq0tLTEmTNnKjlyEqLs92/gwIFi6dKl4uTJkyI+Pl4EBgYKExMTce3atUqOnIQo+/0rcPnyZVGvXj3Rvn170atXr8oJlgop6/3LysoSnp6eonv37uLgwYPi8uXLIjIyUsTGxlZy5CRE2e9fRESE0NHREREREeLy5cvizz//FFZWVmLChAmVHHn1wCTtFRQXFycAiOjoaHnbjh07hCRJ4p9//inx2JMnT4p69eqJ1NRUJmlV5EXu39N++eUXoa2tLXJycioiTPpXy5YtxQcffCCv5+XlCWtrazFnzpwiy/fv31/06NFDZVurVq3Ee++9V6FxUtHKev+elZubK4yMjMSaNWsqKkQqQXnuX25urvDy8hIrV64UQ4cOZZJWhcp6/7799lthb28vsrOzKytEKkFZ798HH3wgOnTooLJt4sSJom3bthUaZ3XF4Y6voMOHD8PU1BSenp7yNl9fXygUChw9erTY4x4/foyBAwdi6dKlsLS0rIxQqQjlvX/PSktLg7GxMTQ1NSsiTAKQnZ2NEydOwNfXV96mUCjg6+uLw4cPF3nM4cOHVcoDQJcuXYotTxWnPPfvWY8fP0ZOTg5q1apVUWFSMcp7/2bOnIm6deti+PDhlREmFaM892/Lli1o06YNPvjgA1hYWKBx48b44osvkJeXV1lh07/Kc/+8vLxw4sQJeUjkpUuXsH37dnTv3r1SYq5u+OntFXTjxg3UrVtXZZumpiZq1aqFGzduFHvchAkT4OXlhV69elV0iFSC8t6/p925cwezZs3CqFGjKiJE+tedO3eQl5cHCwsLle0WFhY4f/58kcfcuHGjyPKlvbf08pTn/j3r448/hrW1daHEmypeee7fwYMH8X//93+IjY2thAipJOW5f5cuXcLevXsxaNAgbN++HRcvXsSYMWOQk5ODkJCQygib/lWe+zdw4EDcuXMH7dq1gxACubm5GD16ND799NPKCLnaYU9aNTJlyhRIklTiUtoPFs/asmUL9u7di0WLFr3coElWkffvaenp6ejRowdcXV0RGhr64oETUZHmzp2L9evXY9OmTdDV1a3qcOg5Hj58iMGDB2PFihWoXbt2VYdD5aBUKlG3bl0sX74czZs3x4ABA/DZZ5/hu+++q+rQqBQiIyPxxRdfYNmyZYiJicHGjRuxbds2zJo1q6pDU0vsSatGJk2ahMDAwBLL2Nvbw9LSErdu3VLZnpubi3v37hU7jHHv3r1ISkqCqampyva33noL7du3R2Rk5AtETkDF3r8CDx8+RNeuXWFkZIRNmzZBS0vrRcOmEtSuXRsaGhq4efOmyvabN28We68sLS3LVJ4qTnnuX4H58+dj7ty52L17N5o0aVKRYVIxynr/kpKSkJycDH9/f3mbUqkEkD9aISEhAa+//nrFBk2y8vz9WVlZQUtLCxoaGvI2FxcX3LhxA9nZ2dDW1q7QmOk/5bl/06ZNw+DBgzFixAgAgJubGx49eoRRo0bhs88+g0LBvqOn8WpUI3Xq1IGzs3OJi7a2Ntq0aYMHDx7gxIkT8rF79+6FUqlEq1atiqx7ypQpOH36NGJjY+UFABYuXIjw8PDKOL1XXkXePyC/B61z587Q1tbGli1b+M1+JdDW1kbz5s2xZ88eeZtSqcSePXvQpk2bIo9p06aNSnkA+Ouvv4otTxWnPPcPAObNm4dZs2Zh586dKs+OUuUq6/1zdnbGmTNnVP6d69mzJ958803ExsbCxsamMsOv8crz99e2bVtcvHhRTq4B4MKFC7CysmKCVsnKc/8eP35cKBErSLiFEBUXbHVV1TOXUMXo2rWr8PDwEEePHhUHDx4Ujo6OKlO4X7t2TTg5OYmjR48WWwc4u2OVKev9S0tLE61atRJubm7i4sWLIjU1VV5yc3Or6jRqhPXr1wsdHR2xevVqERcXJ0aNGiVMTU3FjRs3hBBCDB48WEyZMkUuHxUVJTQ1NcX8+fNFfHy8CAkJ4RT8Vais92/u3LlCW1tb/Pbbbyp/Zw8fPqyqU6jRynr/nsXZHatWWe9fSkqKMDIyEmPHjhUJCQli69atom7dumL27NlVdQo1WlnvX0hIiDAyMhLr1q0Tly5dErt27RKvv/666N+/f1WdglpjkvaKunv3rggICBCGhobC2NhYvPvuuyofIi5fviwAiH379hVbB5O0qlPW+7dv3z4BoMjl8uXLVXMSNciSJUtE/fr1hba2tmjZsqU4cuSIvM/b21sMHTpUpfwvv/wiGjZsKLS1tUWjRo3Etm3bKjlielpZ7p+trW2Rf2chISGVHzgJIcr+9/c0JmlVr6z379ChQ6JVq1ZCR0dH2Nvbi88//5xfRlahsty/nJwcERoaKl5//XWhq6srbGxsxJgxY8T9+/crP/BqQBKC/YtERERERETqgs+kERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRpikERERERERqREmaURERERERGqESRoREREREZEaYZJGRERERESkRv4fqcYO5IUNYfYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from sklearn.manifold import TSNE\n",
    "import numpy as np\n",
    "\n",
    "# Exclude OOV words\n",
    "model_words = [word for word in words if not word[0] in oov_words]\n",
    "\n",
    "# Extract word embeddings\n",
    "word_vectors = np.array([model[word[0]] for word in model_words])\n",
    "\n",
    "# Apply t-SNE for dimensionality reduction\n",
    "tsne = TSNE(n_components=2, random_state=4)\n",
    "reduced_vectors = tsne.fit_transform(X=word_vectors)\n",
    "\n",
    "# Plot in 2D\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(reduced_vectors[:, 0], reduced_vectors[:, 1], c=[classes.index(clz) for _, clz in model_words], cmap='Set1')\n",
    "for i, (word, clazz) in enumerate(model_words):\n",
    "    plt.annotate(word, xy=(reduced_vectors[i, 0], reduced_vectors[i, 1]), \n",
    "                     xytext=(5, 2), textcoords='offset points')\n",
    "plt.title('t-SNE Visualization of Disease Word Vectors')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0fe6264c-e2e5-41f9-8b20-e8f16a2d31f2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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