{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the parent directory into the path\n",
    "import sys\n",
    "sys.path.append(\"..\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56277"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.getpid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from src.utils.math import hello"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello from math module\n"
     ]
    }
   ],
   "source": [
    "hello()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nguyen/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import base64\n",
    "from io import BytesIO\n",
    "from typing import List, Optional\n",
    "\n",
    "import gradio as gr\n",
    "import litellm\n",
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def encode_image(image_path):\n",
    "    \"\"\"Encodes an image to base64 format for API submission\"\"\"\n",
    "    with open(image_path, \"rb\") as image_file:\n",
    "        return base64.b64encode(image_file.read()).decode(\"utf-8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "base64_image = encode_image(\"../data/image.jpg\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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7DWzs0RRgpj7cac6JAwCQwVdLTJMBZatpGkWou2gC9zLJzSU86v0LYEtjgbadarbW2NHrg0xLnPTUS8QSF7HOpIqJBSJ4wOaiL1iBTBmlWWyUxR31x5J9Meo0/Sjgr/qt5eka6zqd53bhZLk8R484jP1TOTle7+cnij+jPQvmHbjl+kDHz5ioL7z4l5KrK9LZARWIAmHYgqaTcpXpwK87KR0xnoMuqWEScWkENYzlJIDKZtEHA2WBdcYLin2WzMYemTJCLIGKdfhViEdHsxdJKbj2y9crfzi6LqTKNJXXVrew80BKh0tyM4WQ1n3XdbrCtoVFXN6ciqXW1Al1DqK8zZazo9+2SHGb22K3uCqYC6KUQSY9l0cVG0OoWtbXqaWn6O/8AXPM1gx375Ic2h9EoUNqG7yRNdlIsa+7Sd0cmxz915eUDo9w5Jag79k5ZdazmnmqZaKb6bCj6dYec+iUhQGgmdweOeWUHUjQy8rAf2M9YSS49+tJjYL9ZApnSGiG5Bq51Bx4mWg5nIAZKx8xRawFhPbx1R5odyVSKslfQrYb5xy1Yi/SB4iUzY3MxVt4trsgkzveopvK/Q3Js9Lmc4ttPHdHWMvcaHNjLLB4/hhtJLEpMffOWQ3q3fp3cfFHpH1m50NqtKklpGr3LYixeLoXl6iyUK2uFtzWwypTaY7BnASEbZbGbIY/HGRBpoBqi8hN1ydVVtkzBzeZmOK06EaUPN0mO0pi8FaH1TmIKZiDNxC8cbcWU291VkMvyJxh0YhRIwiNIVShCZmxW+vXTNzDl4pBFC9aDytLyncWLEL1dQnFkDqM+YUtAbsi8CYlUnlLgakGugDRY9rsGBDktd+kefrFs17GmkS7Sx5sS0uAtuO0Li4xWZxHpiAhFHpWSHw6+wDcMrISkdZa63VOeTC/T+2Y5ba4TyfmJK3cvcpn9/qtFkK7kbB6qen5x/mszBvvR48oK89GuoP4fRFaIzMAM0Ysg8YkYqINWMsVD32V9VyCmnoJzHOlU4TGpmAkQ0ti4UrY7YTg17IAlAqWhlONx0lYaWUGOlWjmnSMdjo9q488LV6FzkGJSXGGsRBUaao8CoY9TpSYkMz6lmK1WrvzvZPVIt9n2PGdN5FLFt6AsXGZfzouh+ebDzzTYi8Xp+U73g7NaU0W+CuMMspYcScwjBTZOHNYfGMwsQtFQiahZhVe0z9eseXluvtPiFjTzHSAOaLaQ2XIyDPRrrEsDkadITbzbpudeHcP2CrAvcaOWMc2yxC4603nm9mzMu5uxkploa0vYOZS63PcwOkSu2QDClghkhvQqv6DHvxzUeyaTxgWy1KZFaY58dAxpfYQOSJA+sjum7bvkbZ79kftwuYGunj8/x5usLWrS8OXyunWTkG41NBy3QeWzkaHTIeIrSuhbEjtvHHVGybOHA3GMy1BOUXmstOQFlcdUHoaSVy1aZsVSM7eEAy11Qt6CtE4K3KDgZGxqBk3QH6w++lqvSQOnAzUo+8U0DGi4NWuaxkwBxrS8fpmsiNLamH+r0b1qy8EfdqsvtZyzsELFOQRdmgPIYl8s9ZuRWa3y7t3I9/R5TqP2j5exn0UEd+iUmKndFmha7jVdqebvdcUUlVs1QsPi0oKh2mqa5mdOuPEEbOftaGbmwW7x7JQzDbLamzGxDiYhKs3QZBoRai70vCyiq1stFQtWTlnPMuiBpl8eeaFfjJILCkw7Dpigi4O+2tiw1PBuNXKUNq1VgPCyQRmTSUsYahdany8aRnq2a2c5tecladpUqq2haR2peQKT6023BLvSfTFvmoQzps0JQhiOdaHani0BtkuYwIychDArVuIEbmWT9G7nwT1sk4XSug1LPc8tcg7PyvUzhu88N74kDjxgcBod06X4/wBHVVt05p/zXQ0Vf+WaArQdVILbB0sChvXNOQR7lYrFn2WtXRRDfAwdwOOFqFtg+PNSNUszcoZxrrFS1fkRRmjgOCt0V2kGo1qKvlMuRUmt2AUZaC3NwzLpBIr7zJGJXUY+yNCD2/vPmTrGn6KS5yevEcJnOgam1S5/e6Bj57topJqSlxq8TF7bIAegk/PEU+dq23ex/Rjx57b9JqNslJO6hSs6efeKPotxjIB4XqPf6jhKc3k5u2CS5hI3tda83Emo96YGOswrzFODugj79Swkc7WltuwMh8YlVR0+PNWBZrVULVm50y8w+qpgT0bMtQz0Kw4MBppt0s2ONmSxca6M2MueKcGciqswu05spfdFJlGBjRvbecAieg5Jet5kqjMqKSiceELz+uA36/0M8/WnhCtZ1RN6ti3Ck3hwVDAKujhC2KWOGM0aSRHbtY1Qro6HqvPXkK1T0LDdJwjxVEuvLUOqs+RD7R/PPZqtP2y6HAd7kI7hHULRA0pFWHjsm2YutuwBguHB3VuwxryMzPwkZ8vGEAO2qaLieq0wOcKXxZV2lqVNEANXMQ+MWzbyGxdOhpeHDCGt3Ea8w9EPqadirrjGxRqp3UcjHPnlutsbecUCjSXG1QzXVuHTJtL1HC0GR1tzqsNVOdUi2wfOm8LIuIdFcZreLb6c6nuOeOKn72cZn5dVr6uccinnf3v4E9sOWseb0VvM2jrbjJVqkeKogmK8CjF2bVxBLhpqHXuK8r9R+cS49YbLURFvClWmsx11G0dDmGTAGk8ktl4IXnm3VwzVspdlSRtLYIqiZcMxFEM/HtoaYaS/q5NvjprYhLeWlJG3K82/j01UawTbid47eGGSkJjC26jKE4eIQHi34lJR3GQpToQcV0UP7T0aNNrIQqSBOECTeF2FdwFIHEdDSwdh0dOEs8+m2hCPcSLUghAdqpk3kOdX6T4f7BXZ7RyHpfNsjPKdpStFink2cVBCYhOic0JZmOgRdOsi4g91qqNW99BOpSsjILZ1aFtIMqQLjjl4QtyYN0I7YDDWq8tKmGvVSLCFAxImwMFpUGDgYZSnMHQqQhpMUjPutGokwI+tFrYXWjq2dh6VWIQzesxlqrtSLxvY6Iae2tAiS9C5iUjs481FDIm+m0q6rXqnk3vb0urLLSv0GhvM3060pESmvWLVI2MjkfmdHs+qBOD6fjKJBkr5aekujYmHXeydelvTN88Iu7mqTmnlH3vzwC/zkcSvzmA4Rj9aIBmNlikh31LLXMBulVhhuBVm+kmXhjBAnhRGBC2Jt+bDO2Ox1rzdvqhcdyBXbn7V4YnuFP61HeaLIbHMVPKeZetcl8Z+R7bKRmjEafYyxu7G33PKaWSmNOtd1dHurTzVDbugr562WWMWECJEYO2FjDJ3G8wtlukXAQ2+nRXec/OC9OWc3Z1KTzv0BEEd+flp9I1TBb5rVpeuYmPIS8H2rQZ1Y+wA71/JMp6RMHPlPzD9YKMRD5bG2epJguUvVYRO/Upzz10VZDpDUc3m58oTHu0o+hjCxqzme3drR83m+l2dnX8t132YN1uAUT2PH2F8zBbtR8HGe2jBBeLAeFEmISLecOCKIPahyA0UpDo4fLYXaFQkwJFoZRjYbMpeSGrbbjYpYS4mJGaLb7gnnCm7d59o+SPWHsfQlb0pptOla7k7xqO1FngJGqlGBlfzN799xkXyrYFavQ2ja5dIoV3/AEf4QnbTvsMrWt6tVupXCrAj5rPEP+I8wh9WgC0Q2Qzzx8cWaUhTD7RedU7tNUu1zp6ck56rnXexrA5xY+gzAV4GfOcrVjFR7U6AJHJXVImubgPVn33DutPlH3rEvyxQ6Qj0wsFI141OfeEBlY1KrWtrNVSkv2hpopiIsiStrCjRZ0ZmanCXGB03KdGT8HuaQacKdZYkLpdlE61fQycjKtPunm/W9/ZxWk6TozzAfTGVWR8lJUraYBvzeT0T2/5u9Qbzz0bJg6DYSnt3JIIdaELi/wA6/rN8v1Ax0ZZo5G1QsmWqF5exQkx5rBJZSgy760ms19FeiqvavYevTpxu5N7xfTpG9xWl/On6jfPjMz+b7KueRj1/uvpC27m1yiregG2W/nLFeiPOeL59BgxCCanh3xVNShfRgztcKaTVVptpk3WW8QgrX7IsGjq/NyC+mnllIPnBopOTli+p/PH0Z3tI5S9be7HhzgHVd0Fy2I7LniA7MV9jUXxqRlN91OzPzP8AU5RtL2bZhYaDk6nZ+I9e/SfgJnQb3uschKctXaHG47wpzrvfnfxuAY2A+koYJJhtXjDnpOJdNUbAQsmi5pVpycILeLkn9mlCGAIk8MI2glL3B3iQrQlQATddBnBMuHyEqNaMLmHiCiiTtAqE3IMh6PGkxQEr0PY4KzMetnDSc+CVfnBiGZ6zKERnhPaiwi9IwaQdBmFhupTGs7ybo0+eBYJZiEU03bmXr1x3te2yfZehYaebpUquWDXW4/5M98UTOX8cOHgeb8z7F6lRL56/1C2H2yXY26ibFjlt1im/Pn6YfPXABQ9jrzrPVx3rutXl/XPW3RGQeJNe4W5r4vqvveqU69HRUvraKU4nqv4hXS26w70I8M+5PLia3Avc5s/ahamEMulMpVPQHhn6AsLB+bz/AHDh+F5tooUlJZ58Yq/Jp9urtzUx83u2jq1b3dZVauipW9GLjb2qz4V597C8i4mD1n2V5w9Ia2nidpM2ptbccuCn4eneIGGt+S87Sn5+zaLNi6NcyfH+y5uqy1z4t7Yqw827l6/Kn5WNM/QPiCEq2zVnToXQ/H0PzEsrT6rMsebwgJluQXEjbkhSjRx7zNQJFwk8beYSa8gPHCivKBhP0rhhxU2g2A4cNH4EarrWdpqo1p6TuVOulB2uWDkEc7etpuPaUqHZDJLY4CGOHH0RX7HW+dh9b2W7z7DsySjTdpSJEA6DMwHAtPMTSIUdg3e7h5UnbV9KO8I63mIJgUGZS4X0U8uenfVbUmbX7Vt67bi0jXbYaGmWylhTfyxyD0T568/ge0+gcV7ds6eMEMkNtDm+lW2iYgf58/Qb5refU3AWj2PiCoPpFTvu9BK8y0o22noSKfG3um2866JSUIIY6i1Du9yHmXI7UdLx3clzB55BidT294T0bbWuI5T4i9TeV8TGeeQ5l4zxCXicxFXqVY0OM+/vIPol9/0LpLmlq6UncxmYmZF8Ee/6KorzX0RwPvJ+UjaLsrRvXSuvWHcRxXpk7odAGZNq5INZaY6F8/elqfjkhOj+Mvb7yzZrK3SvKSqYUjeujy/55+kHijIyeZhvG5WO8S+5aUS7EgaSEM7LJSRARjKZYeVlokjIh9xlo3LjGK6tJFfaqa5Xa9iG2R0vJKQ620+yKjvspXZrOzjdIw4t6b3WX0t7VhDb2CtFVa8wXOVAmSJaFEqmVV6ACsMZYvO4+VG9FrRKzdlMA1IM34N6xXM1gui8nsfn1OgMckr5RfVqzU3oXrvQIf23NcFUzHIbeybJitjVq5wT0E5SvkX2p5H9IqrWlksZ5neM77kHRZ8dF/Kf6EcOAHuvXdOFutLbZbrZfXHYMyH3Ex+FxMbYYHz7E+uUiPSND0YWIjjorvVNjGmaWeNbUyNtbzkzratRO44zz4MfB6QeN5jyrhCCaheLZuDJ7RYjc2vQUaJsjIheuSeb9Kcf2hxM3xvMnm1aZmEGiuxCVsuVsl4ORnlIdG7lIbXPYrTcdoQxUdFvqVbvBfqfjHLk8v6Hai5h3RQraZnE7zu1xnsvNFxeMJVxWH5xwgd6YUsZFh6Qw6pzr5OgS/sRbFTVAMElUQ3BqRusuVUJlRilMMJxajWHHJa7tzsBLr9eZ6nWjHSk9I0QOaTha7Wxg6vOivrWfYfZEzGpOZbAPt7LiFDl9dbjLL2a+8KgtvrCsGtFkH2j42u7ROk0j6D0Hzvo/IfV+vr+XerpHrjzJ3z6xhWVtLXssPG3dGqmPLgonHAy4hwrEdVngXoTnyteus8L7jFw9iiCLIEwdDv3GPWnnH0q8EpeE9Ol45eM25uvBizSY6LDnWZ7nXz29y/PVBf6Cdh8Y918Xu2S18Utfhdq68oEbz9Tr05xq5fRfPXkkKR+kebe1tUylKuW0mD8nzVYwPPmtOpRQbJGJkUj1Lml/wBPVtxFA9AaGra5VxbZ44vYkXm0x8j3aQtieQwxS/POWA3idh+XeiucvxayNj6vJ1yQ+teXJbbW5ReJTM70t7uzaR4hhyKlZ7zX5g9V+WMfG677R+Z/XmLe3kgSOjqtpU3MgeWOweT83LIHZGzceTyPfFxBKT1rjlDOFiRYfQwWFZKDWXYB3DrVTELh6Hj45xDJ97zCTrNt2nSFJmWyxWSGtlvod6zUrDojaaYi3tlgZBbdYZe24rLQpEf1icZeNTend25t3Tl+4dt5D20w2+1Fm23mjSj1ZDeifKeviWVN/L/pUeXj2WewE1yIrm98Mqk7+jvn81iM9TmRgCN3h1Cie5LuCzRTCAsdvhvXq/R/z17rtEFTpNUs7597xS3VewSdCun3LzFpcbf9XlqxxyBoxxXchelRy22tRyOHdqruC15O7JByn5z91jugcjWLElo2LZdaETpj7HavIXon7n4e+DRK/d+fzCV24WuXPOp5u4V9BYRBT5/kdN5Z5/AsE1VUNv2D2p5R9gbOgS4ypt3TLudII0q13YVFhC5XIpmE/N3varM1q4+c9AlluMFFuslQmdzH62qHnf0v8+S46lujKHwYgeGfR0ESkSfbvP3l30P5yxsV4kKbTR6X6f8AG7Wgx9BGvEqTOzPNdlZmWGiZxEbBTSCw+4FosHDsJtymtDCiQi24xSyI10FeWK/JxbLA2Ot3tmsy0oRibdmJ1e2mlLMed6PSulI5hzbyAqMYtuLa0jAS8rFryCCawaWXG3jVd2lXW2pDhu44ghuNMZgxi0irX6tdN3at9A5F83+qmjyxfy/0dejnn2XZcBMwsmH0+DvP3bwGN719I8+yyYqej3V5Wy1PRCFwKnMU38+e/XXmZ7zuyZWZZmnTCBjlBzPXvOvfvu3j5FRDn03y7CiG4ohWbns0rUchp1ieGh5at+cbqNUlQvzD9IrGrFHNtjCyYxV422Qd2UbmLtyG+/XfFWtTzv17yQ7j27dohKZ5xvW+6K8Pe3PDeMhBxr4GRhfReyea/SHqPSvJVhmG21tdCUOP9MVBW+t4TPKBpiD/ADf9LadipJJt/GC1qQkrVrQ/XuM/zu4fpL5lKaBc9GkXjLvRm966B42bajvBvKu8cExsQm11q056B4TjlaDOm76+1ob6GWsEvxLYLd6ySY5ESYMwMKDxR9DqsdelJHj5CLaYFFNHbOIMYKDh9pysIQtu3bSrRLoIZKva59Aot6TzSG3G4CnW90s1ilhjWbZFKRyWicFtQZOk1Mu2jTiUknlbZY9NEZp5u1+we/fNHpX1myJze8c2+c+1GptqhvjPtZuHfj4Zl7nR9NZPd3+bXz9JfNjsac11EocYmA3WnuuRDkMKTXecdBpv5q+lRJjslka8NGzdVamwYeECg1tqchto9+snHp/9I/K+gqiJBihGNZ3PIaHjiW967geadKifHaXMYfp3IvknryMjt+X23BrRBVhyYbk6iT2HmXWP0B4gXckj3WCMt5XVRtepjGH2+nyrwH0N548tnIbWhXDcv9Hx7vU958Szbuh7fs3MOuamzttTFiMwksJE1GjdSp/y70vN0WqB+Q+0ma+9KqzDT6bXvZttmYs39GfOznA3NEZW2HJ53bW4jYz3Ng18+cPemfKYQ00stVbR4jzXNgybLQY3awOgxIWo59LGqw4hgcPEDKbHOJUJ0lR6IaSkjBNPHMZDbpJQqGQ85tlyexK9XtiHWrG0eDKTS53epW1TMWlSai3rN1vrasBCBSR78nMyOBAlo+Zak4d+3S7YbnRz1khsmiKy+P1/Rnr35hexvS63duTdR5j4X29fKiNfF/ekugFwRyn3+kavnOk9Z4z279C/PELKRqhYaIZtMJLsyHSOgndI57x/0Nyn4d9AhzK9vxPo8hpzG72qNaRmDtFUak6guN086337b806O+Tr6FmOOCyhIOIYX3Oiu7jmmDw+6Lqd7bzmeOGdRivB7PN4fr/PsLTjpdnrb6405EvfXPIWZNakumTyKOmCMYy3PNbrETxjy/0Wg+LywU46rllrdIeWd9qc49Eeh3Vq00/p4ytPclkhMWjxJ+PXnlLttz57t82s1yek9MuW3PXYxgkhraUFeizu59bW78tWJjk+cfQHjzKBTTIeN87i2AOtinXs5FQJ6Lu7TnzVsQ0S/FSBSGq0YQ/unB6liakr6LmLY1NhnoSLqAaEaOSyNq1iMYUOHEJTFX3GHu55vEEutLedZUxCTVB9BtFUsyma+ltfDd3jteRpTY+aYdReUazQoSIWP0xyntXsjbjlOoQ5AregOI8Ba+TfXJzWf9eAUvkxNm1CdUr/AMb91VgAD8XRi+vEK+jebmZ/C/pXlykKTYDYJYPS+685SG2lo7heP3OpeO2+POdHT8W+hD1STOWbIBGNaRsRUjr6n4aWqk/YPaef889B6dyS9e1TwpmhC1N7tzrmmO7FuprwMyFK90UJKMzwgks5WadMu6VvjZLLwnGy0zPBOR+wPB6OX6BzznpdLpHP21qr6bIR58UQ4piNGSuVG6u2D2WYy77T0W05u3Nrx2ltK2juarJIkxtslnpkjRZTuBSYjuZeQ9McNoPqbwHlLek5nxOcOfXdd80CgFcKQ2ynnMsljnWZRsUtyVBv0sXto2/MlXi+ss8SVeeapLWfobnf9F7mt16PIOOc7gOywBSfP7nHfuJ+aya4JPgVoCtx20s7IzqjoI1SEKWrpZS/nSwohV+DnAZio7lZIGxLo7c1lROutKpOMuM92kuopzWnmB8wOyPe5itu05Dji6zy+PSHraiQMjjHsnonyOzpudj9w+Gfp65aPiLSHnPc+Isr/n9KNi7W/wC0ylnmotDA5zXUAUQz1sWxDViXo8auIDQeOKYluwv5D1SF6TFZTNYkJh/WUOHOe10IHJgWebs9ets2McYevKVpetCSN5XtNu8r6vTZXlnUIhDb6Jsy+lzpjh5MPuRpSpht4YuYG8eeyvNayfn3GnMDzS9qKDwiJNpS0Y3J5XdhrjSXCX+jsh4B9oelLcHNr0XFaTyQcdUrNJ6TaWmZRmKxu5NMyzOQk1M42Q3MDOZkxrzx6JgBd87RrRnl8iOlDXoyo0eWasOLjp4es1OGv8ddijGP3d90Ppt96Tq6VQvcvJHY5ryH05Xq1qHWYmwzDq0uzdPF7F5Pw86SBIa8/wCf06wsNYTnnXjhm85q61zd9qKw5TNxVHOF6NVIrt0dqS2S0bLMG9W1TsFNqJrxrYgk41le2pGdVetMC7ITdHhiSd5xZtV/qJgslnZza3MD3noUMPb3SA2x3TrbQlk3tv2d5S9RNkMbXqZjlOaiCgpgLrRhMeLNhKTJ+Qkhe5mqdJNFKSbH9V10kuejUPmdwE4FMxwUfLCxATzj3RHH5G06WyrW+OCIeZOWcPIftCh3VxVLQnmAQuk+Q4XPP4vvfpXn/wBAb+xvNpMdK0q7mo+Uhe4jek92n22+53zn6F8oKrcjLx3znlcIDyZN0EheZJ4B0D8HBT8HLkh3vzoq9PpdR/Bzm2713lEhbV6eurSgj0biEr1FlIUnpZLGovd1JGLjm21ZaNt7T3eK4G60jyPmXR3UiAM3ttyu2yWyQyy6msB9e5l09zT75ORc5sbjTub6+MGp7mX23Zq8tC55rgHfORrg81sdAkvMZHMFzkDlZz5IEktR6MO0KePh9e5VuOtu7ldG8Rqxx0QArSGSJWI4LrXO1iwppv7EUEJ2gkR0jqLHH0lDhV/iaoMlA62nG3KnyWg73ey8v6FhYknjLiS3lEZDPq/UuJZ2cytYq0+p+kRlnyI7B0fyDfV6d6S2T6YhrbBlrQjEhH17PN3paGESoy8XYJGwWFMmsho9XDbbMZrO5UckdgRy8tAZiDbQBGzlWivjXuHnR/z3n/eZfh/telq+jiKLxMjPqGOryXWKV469OeccbICUrWVidb90fMf6D7u1dk7RoamZrfSjy313xAoh9GgPOvVWWpXjPAmUc/0x53AeTzCGWGEEzMCUvLubXk23tuSWLfezGdR99veIuT/TPzwp3l6diTPPrWDp/K+66bnop1tXrWtbSuJRm09zHmX0z46zlvTXRfBfui1Sk7GeZcD4xxXJWhNVyU89gHORz5RvCkDjna4slsb2tNsRqUiNFN6T6/5A9Ha29d9tpO8Wod/uRtrU1OcHItwVOurM1qUxYM7qp529Y86UF5TfqU34fzUgVGt5tJbmfR6hZio+l6ja9Izjcr2LGe+dwns3gHpA8qSAHo91DoPDPVmOtxIf130F5r59De2/DgxoDgkmFIAaVe4QM2MctaCnIR9y3dR4X0ZNPqJMFK4WN5QZNR6314DpRZOCek2h16J9FPk16haL0iL9L+dfH58j3ryqzwfa53mHovqtLqMOZFtGmNRUuQ1Li7hzSCdAkl5AGjSGeoiKkeFV7v5UXLU4BeLmByUk24WidA5RQfklKF+Z8yMfIXdRoh6B6MnPdvGXpTxx6rQeU1vF8+wy4wYxHSeX7rP0VF8DzW1ueyJPwJuBdFoDSVcd+QiHBCdU2ulXWGhww40otDmZVwvKMyglCZZ32b5Y9ie51VNOOei0Wc1k15D47+knFM0fln0P459BLd7OxtW2bTzS4lCVo6sf86PWnhLHWsve/LiVg/S/yl55Qza/boDGAr0+R5T0hJeTySUFYDUiKGw+y2h8wtgYcSWo3RumexcCNda9xkeMJna1PXpXleztM931yGTXf60bz20aoplxp/WXze86G6TeYvo+e/OPZ/jfAybHaeYPY6HU46rXDKtAdW5B6Ogt16v5w6p5XbvHkTp/P91byZ6Y4rX/AFCPoPr1W9B+XbtJ0RznZ0B4yq3zyi/gACwwHv8AJ2pKiUdbVlZiK9Zq4+5G2qnmtNdkufHekeewuH7lX9PWijDnKVBFlwyzBxE5Evu9N6R5f0wX1VP8d695HJUKsZTJtCa0U4bt/XvEd62930Pz8rzXranuWS8X2BdL1lC+OOZLg9CcAi57DR9aQvJUI17RcPN0033ryW87dlc1bB5x7X5J2Y51OQPUvP4GmI7MarjB3NmLlMxpTgDW0mXpBV+SqLukbkSZS0xKwRaC08XBmcvJrjTiy+4owNQ3ZMzMiFLkNolHXtI+WpvUwgZ0U4533j85fVfrNHvqUr9LtuDbKmBHkMxbzP52+k/gBRf33lNtRzP41rrEjr88DH5w5gpjDQ0ofTRSUMKJKxiERAtxphNRdykKDb08aRbYRQZWRz1I1GzAK8grEy0llhzFCTZU/c/mn0/i8R6Da87qeckehIfSzeQTtymvXYMNc6tVPWYvoW3eI4iY+iTnz3lC29J+GOmwigKA5fOiUpVd2Gr5Z2Lj5/6mRPqXIapWSM9r8we0OGlpx/vZUoenZZLldn8Ux2VrmnYcX0lduovg76Hi1yBGf3Mt7G3KV3vN90fX7DCvtV/RDem9O3bms7nrSLyXctPaNC9LgaWHjjx0iO8xEByYLjMp2vzxKD71yDTL15zBBblBUlB2HlRSDXIuQaAq99phzApQlnlY3kXvl3436YuVjqvJep+batJdoomTqV7jFypZsxqKWH6LKU0xi4bJzKfC1GK8Tse6xrTYNjDVuwwzDocg/ZAVgyLhL5yXPXOjK6lEn7OzjlDIYEDMpkaTpVWjbZ1yCA0iktsAGSGxUZAvlsjdSEfZ+kHV/kl7t9Bq+gx9uuH2y0qlkU24weYTzf6k4nd/nzt2TFRO1EN4E9keUk06qLYgtPz9cFkQtBll0Vx5g/EkTEeFLRk9LdG4zZ11ewJq8pm5RLkdoQZtILt4GAkw+s7K1yRi3Tr1yLpPyz6/YdiE+B+gLEIGtEn1DlfSvrPjL24Dn2PwiaBLcChdnhkHD+bStExTrXiKWjq/mvqIm53cYdmIx1cuJqF+ahdd4huEGrdIc9GQ0F91znPZfjaxpr2Xr/lL0XlW4hCXmk7NlEMPUG6+M6sIjSN04OKlY59yGalGdFsB1xixLqvaMbKGjzwL2GZcGZLtvaS3DCkQ3WwCNqZOPeK0oI+92PzRc8nK7OJEznn8xKHVrUyFs0ec3MNHMahRZAbskXiYS38063SeqcPmcJj0rD8cgfMv2GpiveiwTRVaOuFJCuG6HMiA9lggZSwhS1JWgd6dbJ19YjKXU0Cy+lVw722oE6Zc5sswlYiGxSzkO01aebgWL9Yxa+xc0tGBhOMriXg3WXFsGGsky4dPJNq9d+Sbqwf0qNX51liLr5dE+Q+leeDH+I+zkh3nIHF8x6fA+ozfMifbfQvvvy75kCfVVeyT5FhfXWhFv80jfXHnYNKdGTwIYrOzAS3mZ6kFqi6SdA9hXRoxF6qq6cYsRQBIWtHTbumco6r85+rSxAe/n/0Q1tMyyJzpEPbftngjmqZwD2Piut8NrrXm8do1pzAROSNs8ssmuoyzDz3CXNT1f2Dwn7eTaunnzpFaTp4ijfbfEfXL8cemInWjSHcmBzh9dyUO7rDG17FGnUKXh3NaoUYM9lggiD9OWhgp4UpLMy+0uEQE4KOBFNGtdjNtku3o+QISIenyFxxG7GsAoA6ZtQQVmcvg+avCTLcBnTY2wHIvV4uxRGxFi69By+UaiUKRiNShkvYDrkoWx1Iqz5IMguqexp6vIBk5Z4nOLzJ94s35NC7mFNKGbZayoAgthU1eQ2VWwy4mtVi5VKvJFzOnGizm29tCU1ts90BPBsGbY1pxpxsrTF4h5Xpt00x6YtStN9zadXIpvTcwoAoJMnMou2cx/O30G1HgQ3iNaTdSR1RhzLH67O6IVW7T+hfAIW9vYWaxSJ5MVKxda/OqmXiD82hS4C805ksd0tj1ppnjezztkZtVqh1tgU+aov08yEXj2v8Ar6hrr8O6jLXLyPpOeNX/AH849vU7o7ZfYY5ki1S/pnjOX8pTvzvlWtPvJKhOFB5tpBUU6nY0RlacxHkv1N5e9tub7nwzr+sz69u8D075CGv8d9GcO0jec+cEte4yW9K0eUY5qORitDhKl4Dm8c0PtrST1x9GqmAVEbbiOFmGSEwVQlzaH23Tmx3hbWZVqVvYybVL5SYTp7SK+lafmDL7HWCaLFlNo0iwDrjDlBr1kpDrhasmU3rzRbfQ0U6QYqzemUukLPUXH6DJWQJd6QBkVRr26jUGTcLPDA0er9Hq8qjrTHC+6cXqLikZ1Hm7mItVfr1gzVVLFqRt3W7c7tG61Q04o1GNvINAwhQLZmmXNPsiqfUwxtJDd6xhLMa2T6W9Q+Vv1H03pBTGjHfQ0mewMpNYq8LePN3ktDc2HKfHfavbIsxJpXoKi236n5YpJDvucQd7eWrtSG+hXkD1z4HxVqNJzA/lMihVewP+l0+/+n+W909AyRvSuJrWb6UMFVSOiqFAnRTpdjdNoSKXJuCJH7losg615tu3IPN4xTYI+RiyY6DAV04650imD18FrIqgVozAPNbhG+s16p12jW61/YPWuCVD5tT1D47qtW9JGNuJ2VEaVkcnS8rCNOYCNLzY+ShTUyowUmYIUldIQl1lmyU5o1oUEyEI0Y3HYc5jI6SXJtdUv6K0wa4rz+YGIoYFDbAJdXiPy4NWkVxYpPZ3NS+Tr5uVqef+X+hIBTOqGWUBjWokxY70KkIFb4xu3Io+YqaSqXDzIWh3SBAZY+bD146fZOZdtyGzOm+fH0Hey8Jj5sq3LY3r/GPS5p8aSFnPIHUmKYjaDVXtItRPqYSahLIjJrujY2+wvalmtva1ChvDCYpCM2dwxKn9APGMta30Wd87de3NG2IhowxbWDyHguQv1fziU/4rL9RXardR9f6QUWWTqxmndvLsqcTFm5LxZz/KV+ikP4PEUH2nkzS/J5pMA7WdCsDMxubzXrPtPhLs2vperS6RdWjrSxV+gzgY/jteOoer/Hnti1envKWQiFb1PKjpGN6vAfL/AKR8e+czevK47pJOzQ4Ggc66G5eDGtPWlK3HLwABNiMFr8kgVkxq40terq95A1pewdGtuYKG8VleTrep7S8Vfm0uIntOsu9xLw7goU04kkspUk9ois3esUZgVkI1H2XdZNjum856pj50oFKRmBnQjaE9N2yuFH41hT169D7Fw/ut9uzQ1RjvO8YOFUzd0OCMqmnpVrv3NOlwkyJOVTQ2KvZ2uw4eRwet+nOUEU5ARWrFOMMPYoxLnzYeKfY31nh1jeGAoSWZhgE6M64LACEdExwYqOcUW6knGImV0XgmLI0xSqjWUDSNEOmafYZXsnpbk1Taoo4yWLFWIRPRtjRjTsaoGRVCh3Hct0McjV7Gojg+vEjT5FafWncPD/uH3Gg41tvSYUsXXSa1D82VpyjkUxFeFyHTNv4omQpeP0aQI9jf261bVrbLasXOGYZv6k6F5AktfS9B8K55VF6QdStFfHbrftfwN7V12u9uxbtymaq6Jm217fPIpxPzjeKZ57JbQQlQDO3tBgfZCKch5Kuh11hROcSyi9kBlBmIy7p2YU624Ojm9qFycxUVaXtdrM7Uq/N6cbnsQvUc3vM6X1NO0hesT1WkLbLeVrdrh8UVOAnYff1Q3UHtHk+q896fh5q4afrmarXFsbKWXOiTuWLwZ3odvFRsFTWCIrOLG9Ec4t7dditwSLzKvI+n9PqSi4NuZ6sJvh5cJR0fRdMozcszmcTs0vUvSeXvknHPhDDItMLF6xsiPeI8TH76s1WpSulYrriHFWJCTjz85aSfYLzk3HFP8NOiWTQHFTEe9eJDkQ9Jho9uQ6Tp0SVTG/txHWYENYK1Ew87CcOHhJOBeJHhGsaTTMkEuJsagVpTCeufIFf2C/WmlfNWfJf0xC8jdyVL0RS5DLWdKiZVAU0cHIY1HVPIb5gmLU7SWS283MTEWUQtq2LYo1yIcKXhnLV+sWCrtP79T+R555v6Mo8WQpC+hXfIJy1PZ3KuNkqpFbwtFIVw92tYzJPQojG5RkPR2pRqOj2yAy2xltm8vstKOUlbTlquOtu1qtSciNLQ7E7zNdG1JcmW0OonkJ2xEKxG4l5xtysOIxEQlp1khJwEkPzytXhbJHeh1IiRePtaY6fRej4OcJWbZUQ0qbJEboNSZMK8aszM1C7dPXJfrHVNP0HAgOza80TiFH6/xnOxYzq/nK4tqeo+eUredtdBsHIGrKAB9EZW36vfBLfZDzZbLZSm/OLpOndNc6dqJheka7PwpWxcf1ZdVfm4RVyGayNZLYJWuWBBWXMbJz0nXx3YqtlA9I0K+1aQQ5ELSIo+LlJ6fk4WXTktKFXIgZwEvBQErHtlgmLFInipt3dtalH1ecrFTVbNVZ5xAdSjtAtHlbYbZatSUy6oADJFsAo0onU3Mma3JpWnBtsr2iBmYvYm3yVSlgxPYAQW2wTEGHCVq6wTHczrF5p+tqg7WpplDbqJI5JN2BcKJc2Zx8cSSkyKqAJkRY4XJB4UQy5d3oi9zrvVpkF1CNNflUd1mJKzzLdmrR2Hng1nue8CVMPobylVqZ1SClikRVx1pcztpY0ygZUZexZEQdFpPesCNSd5aG9LdmTkHueYQrQ9kF1HYN2SVTpO/wBOvia4FOvlH5ilx0lD6zKFh7dL2ntfGru16L0zbeN1Jxk7vleazlzfPXRI353PFoLt1Xd8px/qq9Wo7zuQUUMz1jkUfRu6v8vgpWs0CzsCpZMKc/x2m8boy6ssV2mWIGWSY9yJExFRDkd6Fybt9CtCobzI1yUyMw5thoQXG07VrpW1LSKJIBNyKUO8fpyYr8ml0whhZL6FM2zMSPPIgca6Tqgh9kKFLCynaEEU+jmmh5Z9o9WZsUXKAOPovTWlLtDWnlWgB91F7HOCrBaJgrJD6ZRpGPwszx1feU6xO1wpcU2E6QQdJpHYahpucoROxWxqsGH2Beg1lflMrJ0a2+FUna9HoyyY7PDuvPRDbZrdKsFqcvy1trvDo5bXEofLum83tohIdZdaUUBhySOgE1pI5FKpEu/CPxWayKyOlAxhLS7GpHKYyQiTq1nn48pcL6dqiuSws/QWbcH80mgd7GzipJTN5m6VO2CGmgXagHcqkLIxGu22ptLc+nS/OXrpPX5PeRreBq28y7PZ2zVALrJvmlvKXRewcpzMiGjgZVPP53EWHiOuOzR7JJFWlO6WC2paK2RHyUWY9s3E2N8Y5qXl70UGVAoaLiTqzpsiBvL9C47KtGogl5evyCCU05GEqrSjohgQuNENo82GawEgeONNScZDlrBnJGHmWufeRu0bYfapDW3Xa8K4Q5S7K1JoSPAkgjTJ3KqdM1HBgern+ma81Vr0pRMpXj+7JBY6LK14MKNq0eraVs2lIxiS3igJqKcYHAZhHGZVylAlZ69YuKWFAHXQq5YVs+q1rpcQdis2BRSqyyElWHhSC2q4l3U9t/Tkxt1K71S7rYoxO0VhLrTsc4AfDRagV6aBLqRIk4KxeBZmAHGwGnAzXd0OqvFuCqrUrQu44lDSrS2haLXcKjnOifOg5MIZCQZsY1nJ143NSqA+Zky1vMOXesy3WG15gBwdHzG3aZH5ms0nMwls935lm7fN5ju/0R3MgNWumZKkHxTM+a1EgMxPC5LyvM9OOYPzArE5mJVaTmRzrGZJEW3MMMiTzJtUoHMHNZreZuPtHZmkWfPzMlIjMxcD7uZ1DTczgPozEbJZzETDC5jHaMzKrzk5mNje3mRXaMyLadzA3XvMjm28wUjD5jJJXoOY611K6ZnvNIOrZlbc+5xmeXzq5rM85ma3mNUaZzGu1rMvDMbmHZrFSzNjQiBMx15gzM61ttuZk5c+vMzVdazBrkE5hRkk5jU4vMtxGszoK3mW5Y2YCukZg425mCgivZlrc8azHdNQ+YewYGYc8XGZjTbKsyLPuZgxt5mXjS8yebazLEYezCENnMxda33HMUQl3szGS//EADEQAAEEAgIBBAICAgIDAQEAAwEAAgMEBREGEiEHEBMxFCIVQSMyCBYgM0IXJDQmNf/aAAgBAQABBQINBXVqd0Ce8APk8yPUw7IeHRNTG+A3S+PYmj0ph7f2QixPGk4qPyowq8nRVLIUM6a7a8KFNjTRpHyo9FefZujLZGrcIdrSa3bSzwyP5pMhgGR1buP6Ou0irFJykqPaujgmoN8w0ZrKqYjIxOxsMsQYQWFM9t+29pnkSRKSPRTfvWkCVpxTIHFGIASP6p704kobQ8IFHynNTmLr7fshtO2mOKG1NGV1860OM2vxbPE8i2erryU4JwUPkJ309BFAolS+W83xpvVcjgp6Z6kEHqi4obQRk6C1f+MX8n3V6V05MOzHDpUWdTTl6xumUthPsnZlJTj4PsVpRv8A2rS6TZdofWvEDdpjE3wnnxOVJ9uaviUlcE/jI1EaikqeH1Eaug6EtX0gE2TwZdJ82w+Xae8o+VItfvB9xfTGbAYFYiVlnk+Cuu0WaUgRZ5a3SjA2xQyaVWXzC/bQqrSC7qneCGEgDqmeFOduiaxjO3y2WuHQuCEn6l53g46sc2Sy+NtR5GNnyzVGuM9DasY4amx+kaulUoPmm4rw1hazhsXTIcVZG23QdWP9g6XZdgj5X0YPswgtswaTmBAe36qExpnVPa1WGjemroiB7laRC15+NfGvjRaFGwLqFInlFV7Bil4PyMNFC3FaiPlFSDRgOkU5SIJxTTpEqU6ZyR2xex8dqOzw1szchhL1B4gcUysFLCIxbk0slbKkL3FzSU2HzFXUURTC5rXSvKeXH2Ll2R9tJ20zwYnqJ20D4b9wtTfC2nlWHr7RCLF8YTYvHxBGu0h1fakrp1cJ1YbkgAXXSMy+Xae9dk5y7+Hlf/Vf7i+mfTWqdhVxpBc3bhEUIypGeCwIsauqYNJn2Puq8qpKqOpHdT37aEhUe0WlNO1M5qsODatOL9/pf7LWlGzs5+2hvzlX3Td6dF9gz4gNjvVuhNOSVz8NKG8Xxw/O4xViLWVohHkaEbhnqLVYZ1cD5a4IvXdNG1Htq+cqV/ZOQ+i5CVMkUU+l+QCpf3HTRKOl9oewHnXnXnYXyFF5RemSLupXnrI/yZPIPnC5R1OfhfJWytjeJAQnt2ox1JT/AKetp3tvxbf1izVovs/EHqsPjV/HQXIMnjvxC+1GxWMg0svWtqyS+QtXRMi/aCJNi8dU4JwTvCcVtFyYo2bTofPwhNbpQnSiPYtA3H4GzvsVJIpjs+2kGr6W1/RTmqSFGJSQhSxAD5iV2RPs9f1vaIUHgweRH9NUg2Lkey6LRDUGp8OxJH1Tx5G0AmoKI6VOUrGQvenMAQOz0JQ013YOHkKw7QyB61Yf1H2msX+yY8Rr5Wk18m/5slhhK2vAyu2xMx7clXnkfVPwuHxviw7I47PG7EYDJ2FmRtsZHyPIxtM19rpIv3Qa4J2/aN+k2Ta2jpELqnNOi0hNOk2RMeV3KJKJci5AraCCKLkXL5F2XZByDyVKn/e/IXnfFM/LUn41nWWoRojXsE8hS+F8o26dq+fZ7eLTv1y7dXKsjXJzWI/Jrkf7VMlcMM0l97hJM9yI89V1TI1Gzw0eHJwT9pyeiVtQ+VANpsXh8K+NMjIUB0WuQk8Ap7lI5OKBX9+Pbfjwj7OT07wZnNUz9phW15ctIpyYj9RKDwIidBOHidgUqHhByLwGykOLguqDUEEFjSX2abA2OVq3prB2UzNiJ/UuHdPZt2T6tZB2kPXqtjT/AAmOTf8AXiGObdyOcZDBDdtONjEYpsrOUWacYqxML6Nds7ocSIn1Mg+moeUfrYys95ZHCzWBkMBNVVeZ0Tontla+NFi1osJ23fuEWp0aLF0Cb4XZF3jsUdFBoXxr6W0XJxCdpdNI61oIaTQNSjw8+dIaWlC8xu4bycwuwmXitwkpx0TM1qmttU2UDU/OalGUbInZHomZUI3A9ZbHiZsQMUm3kY+DuM1xp2Rg5B6Z8jiuXcDlMc6GlJOZ6Fms7SaFEEz67Iop4Tmp7VJ7QEKuofLXs8GPz0Qb5Y0po2mN8SM8ygooFNK2vOltEexTwpD5su8O8ubtM2h4TineC4BM8LSYeqid4gPha2LEasjqvk8/ME6dfLstPZNC0Pfa49SimfHprXu8OJCY5pQ8p7Opa8BnYmfKSdp67Q1vYkp4KGt6kK4vujXyVezdid+KzI3uSvbHLJJNJE3o3jTfkmNFvxZs/C3GXXT2cBTa+J2Ja9nIMYxrM2wV5qV9oUdiKVpjaU+FyES1pOCA8f3sI6R0tI+ETpF6C7IaW0UX6RK7FbTgvK0g0qNhIdACpYG7+ML42haG9BVbMlSTiXMPjOJz8FuJ87HKzY6tu5F4fYv/ACl2tssAGe27u2aUOdmBEaeTittkxEVl7MQ6M0qvxqONqfja8yyXE8bcZn/SLHmTK8Ru0RkcJFHI+m+ENah4G0fZycE9oT2JzfEZO68nirKE4hwI0uvhrfLY/EUS+JOYFM0J/wB6KCH/AIA+xKerD9Kw/ZjaS5ia5dkXI7KLXJrVrxvSglO67k3RWtKwFdGk95XzaD50JVXdstQR9vK4pXibFO4IP7Cby2DaD3I+W9pGmM/5bpL7MT9NaE52g7blE3SgcIW4/PujsZ/kkLqM0hdNvahb2c9YCdtdS50fFncx2Zxu/E63x21GYvyG/FyK1F05dZHyV8gWKrltClk+6heJQ9pC0ixfXt9InfsE9OWloryh7bThtaXxrXt1XxEpsWk3QD3BSvCc5qc4IEA9gjIq119Z2B5g+FY7mMczX5kTNlsf5O7HF8e06QxySPa5sUgcMvVmeuO1ZxJUrkhlfabAmRrWkWqWs2UXcNHOOd+n7Hw2w6OQFqetra7eU9Oans8dNLWlHJpV59CGfsttcg0EMaEzQDA1aGnhTDy9n79B7bXb2LltbRKkerMqd+xrR7TWIMTWL418RXwrr1TvAe/Sgl/as/ai+v7m0roVjwpHFPemyKvIFGU3214DVgbkkTi8va06THbTv0LXbQKlaq7NPsgB8LRoM2n7K/1bG0Iv/S7cqwo3flX+ylJBrN6Rhv7Pn/GZYzkgdkMo+RYbJGrY4/yZoj/7Y1rM/wApY9mZyZtShzk2eVqoZBwdjsn+sdhkwczSIXTaLCPYjwAg1SMCc1dVpddojwffXsWrqvpdtL5Avl2pH+JXp0njsUHIvXYoPVNnaTHPDRQvTBkt1gJnCD5dyu7KOL5W9ZYHRTMmWPDGmo79WFNTSB7H2P3ZqsnHOfSujlG5XFXcJbLguy7+3ZFaT2aT2+HfYKhfpQygKOfwJdpszVFMFC4Jzhp71I5f2Sj4RK7L5F2C2touU0qsypvl1Gv2TYymxoMC6ot2uqf4Tz4k+mdg6qVC7xtP8q01XB5l+5HFCRQTeYJAVGQgAFrz1Cxb2RSRuLo96QcpW9mAoO0e5Jj6/D+r3x6XYg/GdiLZEfVSf63abmzw+Cf9Y2fI4RlBulfH+O23/I8rbmmlmZ6wdyaxqxlJ507byG6Wkwlr6eSLVSy4Cr5Vr023C9M6OLoVIzSdse3dFEeF4RWl12jGtaROvZoTtIuXyee+0U9Sb1okfGvpFNa4n4plRhlMmGosYBRft0UYEbY3tZstnHUCSSJfNHKDD0fjZ/8AJUJKYdJp8h2kH7W9+xTlNAJB6v8ADRcrveYnfKEHhNO10XRFqkKkcU8LZaWOJUP3GFvS+TSilUE20Zdhyl/2eTtxT37XyaRlXdfImuRcpJVPMppCTX8nGReGjw0I6C+0GnRYVIPLgSnMOjoGtJpQSeG+QrbVcapmncoTjpRSqvPowTApsgKBXcITmN2JjldRkOi1+0HeJB1TU7wppSKcIG9gBrl27FpW1IHiO04yOiaNzEgV4+jWBPbtroPmOcx3wKUaOvBaF1TWeB9+Ne2nKOy5hgybmiDMEKrmtmHKtKbI2Zr4/BafbyT0KLHexK2uyDlraLEfCBXUlGJGFVaE1mXEcAnkjt+m16V7PSeSRYv0xqQNvendD4eTcZ/jLVXG0ScXSxjX4/j2KsMtcKoEfwjKK+TonuEihZp2hqZEd4ww9o43OVPGva+tFIA2NyYwoNKamopyP1PPHE3mmdqitnrTHZVthQy7UJ2mN2uq6KSPamZ1RaSWwkqGsSYKf6tplTwlq6ncA2ovCb5RHh7VKnOTnFdyi9d1tfJpGZSSqxKUXkmg3sca3wz6+01hco40IvEjCnjReE8kKRVpPNZ41GdhWW7FxgU48yAakYUNhQFQP0Y5F8hXyFOkK49mpCXjsnP6GObsOxcGOPaV2xef0qVzoM2VoqM+W/f0rsuozoj6UY7Ob5UbPGgqVGALlDYWiw39teCg1f3/AHtd12W15cQNL5CE229ipZfRxuS7hs7ZGuXVNg2vx1JEQTHpGNa6o/Q2mregfKCjCLNJzFwjGRSTUqcbIvxY1+JHr4GtVmEOi9QcVJZbjuJZmwcXwi3G7HYl1VssILchUGrUQDizq4Hz2Uj9qNx1PIGPo7nWPfpVzGhGCmwjXxBGNdUeqlkijGQ5BXqt5Z6iVqkfK/USbISOsdjFMqzyqpUXlfS8KRSs7JlckwUwVXoBR1NJsI1YqgiSINMLFG1fSMmlI7alTwU5FH27ouKfIVJK4GV5KZ5OMb5qN0xv1o6gaSmRrp4e3zNGpGFT+DKo36dTk8Qu8bUrdtus8W/s+VIEVEfMMgTJUJF8idIqNr4LVSYWKliPsm7a9qfH7ZVv6MYerHkrsm/Zmawfm7U03yIHx/u4eGxt2h4Efhrpp3jO17fScaJC6pxTnhd18i+Tz8q7JhCBRRXbSw93ax8ndvxnfRRBNYCJ4ipYyiCixPjRYv8AVOeu6aVGvtSEBcOyTIZcXk61mLsV2W/BHZWMZFMPwKtdGSJgdPISC4q5FtuXrOc6D9QOmnkkQsJTSmwOmfioJK6rw7EfZhhm8NedBy2iVfMzY+T8wt4kco9Uy5ZfkN7KyfIu/mJ/mtJ+1TyoR4Ps/wApygb5rs8VmrWh38zH9ZwO7AU1Fyc9FPanxlPa4IhFddoRbX45K/C2paKlpuCbGWOxzvNQ/wCNv0wbEDCmArSMSsFrVYdpSO2ZV/8AVN5UDkwJw2rzFdbovJBe5Epp0Yz5afPdBfaaSHcXyEc1OXq5TRnccm0xwTYQ+TKMa0/ZY3S8on9ZDtocewI0So4+iaPMW9eCooXSvxmBjdHmePRmPk2H/DmI2iNKd3lz0ZF3QcE0oEIHRaV9otTgsc7pJhpOyA2D4URCg6aljY4SwFPh0S3x1KMSkanLSb4TJF8ie79al2WrJxXlvV+IyLbldN9joizWDkKQX4ml+OrMO25ZvQGMlwrP0x7ojHrdt3xnGalVar4gh0mxbXw6TC4JvlEIjzLF2Gc4jRy8XPfQYNGXxVzEW9e0R81Puimf6n2cU9yhk0q8zVBOAn2v8f5Q2+ztjzt0f34AJ8a2Q1FiMakh8SQlOaVHHtRV+ybV0vwRp9DanoqzT6uiBjdjrJTFFrbBo/8A0NKeXqrJJM2us2gH+SR+1R3ms7y3yAr0fi/F4sNITt7AKbGSookBophWiS5cZvNrWWzNc12nN0WuY8FQP3LlH9pdaW0x369/MrtBut/G3pG3z9ujhBDWdQNqkI2Dj1wPfmrdf4eXOa9wapvCsPXZd0HbQTSm+w+mhdUYlB+kmIyDWqnbbI17gQx6jm0mz7RLCpmt2eoPYbLgndU9gK+PS0tIOIT5PD3PVO3JVl4dyQMVS1HZgHn3LNoMAXUJzOouyNaJ6hsL+EaBJjdGfG+Ysc4nLY94Zhsp+PbxwEsLI9JoWtr40Fv2A2i1WqkU7PXb08ifT+IkCMhsUfmvHpVGJo/UolSHw8lBzmqG0QorimuoWimzEgeV9L7XXYEaDU1ngxp8SmiRj/aJn7VYgUKwQhBT4G6lgCuVdiaHo6rN0McqilCZYHX8nz+QOr5mEWJQppNucUfBIVf9HU3FRP8AAVpnZuRg8PoT2HSY60xCs8JmNsabE4IRoeACgQvR/FcUyuO5B6VVp7mIxmVsNnq2aheQS13U1nftYf2sh3t38l4anu7kLs+RzneYozqJN8LWkZXBYd8rBPRs2GZ7is0zMjjpKD7D9Cw8diVvy0oFAIIHzGUEPrrtPGnVrfR2KySrWPkb9ou6pljR/L8Pn8OkO+3n5V8nlhBJRRK2iUStrF5V9GfifL2qnejtNQO/Y73JO2NZHPQwsgyH5stSp+r6w1LT2XY9pTKIBsYtkg5bhpcfY4Vm47NdrQV8aDdJ31LN0MEwlWgPYJ/kc1xkeRw2axpo5UV9mOHarxaVceW/XQJzUWbT4doxaRhQJanTnccqhk2YAnDR3pMKaNhse0WELaeVIU77rsVaNAeCEfAl8qaPYsQIt6ujtFR3dD8/wy75Zc2pLOw6Xad5TlpdU3waZVdryhDIUaTy1+JgnOMw1SmLlGEudxyvYkZQqshu4GK2hxBor5XDT49/D+J5Dl2Z4x6VcdxdqPhOLwlXHYR1bNnGwxZXkfFKWaxt2o/H2XM/WP8AUF/+fuN7O1K8ve0aJG01pibBF+0YRTXApv017WScdxzpGQ4vbcjjI+nLKLDazGKcwWP1d2W/LCmpvsPBYdKPyh9a2nN8dNGjZMTsfkCVWm+Rr/YPAQdtPTm6TvZhXZOctraIRCIUndY3Kz0pOO85+NY/mVSZrOR0iJeSVGi9zCtGMrz2Jol5XPlbnE6L3RRR9A4LovjQg8mHxyjFNt0uPZ5+GzGAzEV+A+zm7Utfahi6L6XZFyfPG1cly1eCjykNnz7YPAh0omaUXhNeiUSuq+LsnVtp1XSki0pmeY3aVdyryJ52JHpsujXm2mkFOanBSPUj06TzWkVTyB4R+pD434epouwni8tmdttlyZYemTvTZnoSFwRWigF0cqeFnsqlhYYU2u2Nfs0vf2aIvLZgxPljLIOrVrsoD8bnWNK7AyyPSzj1XjmIw1L4qtzKV8TD6bXbefq5B3xmay6ifVTBRIacCGiHX+XGMbJZv8df0vV7NRNilT6FmKOALt8j2QuUbXBEbDAU3Zdj4K7rWK1HHFZAZl7Tfi5I4uuSwtkZnuOB6nrT1XghM0m/QWvGl/UaagF8ey+MItINOyWKjktCK2yZj2nZTPC2nJ4XVAaRR/8AAhOCe32FiaF1fkl6qY+c22ibnN0ts8pvWE+/asH0/wAR80+CqfFAnJoWkAv6ycYkg9UTLhOU8B583eDzsGRi2PYrSK/qbYb6g8yl47NyH1NsX4HyPneNIaTUxMRXVMagE1qfGp42qxEiOpgl0oZSvn8TTBNl8wTeIpdrsnqYeZft7tGtJ5oy+Gu2i5PTkUfIsRoBMaUxhTWJgTd+3Xa6LSx8Qls0qjWNEAAc14PwPeXu+JF56/IFr9iHNc1zl82iJR1Z/mfRqw2G5GeOKLmvJLGZyOFxkeI43m+n8rla4sY3LxtyvD3tfE6SQiswgrHNmfewmBDa1jh2OsLkmDqRrJzbkl0q1fs1g8Bq6+N6Xy9Vx+HvOy9FDFNyDosnyUuF+38szpWlswZKslgI7LbnGbFZfG+N0Y2mr+kAo0xBbTt7kDgg/SqWi1Urx3Vm+YdDvygiE9q6lOa4Lz/4hSBOBR2pG+HJ3lHshtQDs/05pD46Y6REooew+/6u+IvXUD+Sx2UmoT8B9QzvBcjr5CJrmuHn2K2rdmOGP1xzEFh3yoT+WTbTZDtjtqL7YFpNHkBbQcuykaCp2KeNMd1Mcx22balkQl0YZlBOmTozKVwKmKlUTtGjL+0ZOiU5xRRC1pSt2AxRtTWFMZ46aA+tLS0tKJ3xuxGa+QRSseAA52tJ8LXJ1WJyfjWkzY2QCWKyCTJGfkDk2YEUC513iUYZY5zk5q2L41gWT5qXXzWLrrXqJ/tG+U1sVZe0zTv3WrxPsP4ZQkgy2LvQ2LEmUDG5ezXuQXcVF1wvD8xmGt4hl4K97E2QC1wOk8BTTCJY7KxRx2eRdFe5Q/UvI5prDZPkYJHLvpMdtTQMlF3jkUxsYWxA4Rlp67Wl/wDMaj+wimsLl+KXD+PO/wALQr9o3U7fQwXGPHXsteSEQgAiGlOYEYl19gPHXScNr4kYRqVgClC0iF1KpNPzenbWCGL/AERQ9giVlZxFD605RljOfJ4qX5KknD/U59Z2C9SoJmV+ZUph/wBlpKXllBgyPqFQrM5f6uwMZyDkc+eu/MSmyKOXRjeSYHKFoTW+NHTQh9BPICDkfqVg62GhSggtkO2yFF+14UZCil0Y518+1JMpZ/EkpTZlQn815NtJRPtpOa1SJgUbfLAgggAf/ABAJkjo3Y3O/CKl+CwttXXueibA9zZuwPwgqWCMr8GJSY4bomajcwuXidXy81WfL8afiIrIl3Nhvjtc1nyMVNczzmqf+R6kbqtgpadFt3llDvjORtjFrMT/AAZLkIYMBRjyYx8eNaeS3TRhknsCC5hHtgKKutBimvOilnyJeLtxV7J/JqvD4GeCR2WwEyVMc0qxUhlbbwrS2eB8MmlvwwqM7LFpVY9qGqNfiBOqjU0PUOsfG6lkAqN0SDXgkouR2V5VajNOf4OdrLNGxG6w18ajftCPa+FfGpAApzsSFaXVdVA/43enWUZ0rSfJCCigVteApp2sHNuUQ0afL8u7MZslbQe4KlyHIUVU9RcnCHequRAsep2WeL3LstcUt6SQicuXyFRSFMd5ie7dYqum/SatL6Uh8s9n+VO1WAtkEOOgmjaamfYK+TSllUkqdMU2T9qU3mhNsHyh9haTmBPiTAmsTB7BA6PuPYORWByPwPguslbHJtFzimz9WlOBK+FqcxqLE9rZRx7IzRN5jbd+fjsj8Fapl2fxXpxYHz3c985yF+Sypz8bJpN1GTu3DIZL0PyUn2+QfLBiOGz5MYt9ejVwUIK5XctGPLZJ7bWCPWzmq7Icm8Nac5lHRiSfupLCsSlxg7vtUe7IXOKid4eUx+nMk8h4I/RwsYqGRZDHPYXbYuyicovoNVRqgA1oItVkfrdYmymN2OyCpXWkOIcCFrax9MSSUKMUIZBWmZl8N0GUrvCiicomDT05ynep3IoBdVpWJOq4Lyc1rXGczHcrdk5A7IIVi1HCzlfM4cfB6g+oMuUkcfbW1+ugUCE4jcj9J8p38/hsqEhUZ8scdxP81nKsUz617BFP8kHS7eHHxN/rYanfY+mhNHsz2kKmkT5dIy7Uf7GjE4qi0tIHjqvpN9iNpvks/UD6QK+yGneitLyo/wDYtRACA6mtk7ECwGUM7QQS8ECJhcJKb42F6O1ouBBTSWOnf+ZFZyMePri9loaE+ciw+PvZl/4b5vhgtZBkoc7dLHStDsNwm1O84HC/Jk+ES49+Oy440a2SdfvSZbINglhsWYbNWr8lGxHHDctfPNZtwxtzl2Kw979KR5TuxVIasUiXReAg/wAu/wBW7CDk150yQLsHCSCu9uSwbXKzWMDo3eYHJmiq4Ch+tr5Ap5AVaaCJ4TuB0kRpZDSr3tiOZsqazziNNdXiMra9Pqsi0fHmRGHyCIASgIygp71PIntcV8ZXQrp4m6tF2fqqeSlqWeB+oIAxnM61lh5FVco8xXcZczDCOW+oFajFzTn17N2C4uIGv/EnSLlK7akJXnbSUwqNNKi+6p81HeG/6hFAbTm6Tx53oh/l7lKfE7gR9oNTGoBBaX0neVMU47R2q484vruvCxa8DyiEED4TE0oHx2TdlMjdsRFCFfCUI100uhRj2uukfCpXHVTW5BJ3qkTVRM2MWrxmYX+YImyiV7GH5mp84Ypbcz1acy3TguWPwHR2H3Xv06R4kBx7JDj+PG7Hx/htbFZfFQVrc2V4/mbnI8rN8VbKYn5H4ix8seGzEETK9ijbVvES1TyCO/VT5iRlo9xWS5pe5ORaqNcyWarfijlDig4hMPcPj0j9sd47qMlMcnjuLmJErbGOfC6AkGFQKH6LlJKQny+X/spmDb2AOYS1QW3NVS/1FW41wx9rSxmS2G5KNoyGTa4Zayx7rDi4kSdfkd2dJ4eSVHFsCiXI1C0yQgNyb+guzFxKp3ZakuE5rdjUHNLTlU5jMs3zt7YuScju5KRaXUIha9nO0nvK77RTwiEAUz6iQUX+1X7p/TPr2AT07/Z/hPdpF+1I9Skpo2gE3wmoL+tqU6Ur0T5UHhY1+jSnBbrwB/4bUYTGO2yEptZR1k2BNgXw6XxhfGEWhHS2E4hPeEXEETOaq/KLkMGOzDLMf5LZFIdN+dzF27HsQpD2XxhiL2iL+SsfMHr5B12Cu3xqhyZ9V+Kzr8tZivMqvbf23kVr8USZA36jJ3xoWzCsHmvyo8rmrZguZD5WWc5XiN7MOsqWOR7K+NnsK7V+Byx4eJqzXFhXVrlBG0GX6kOjGf1/uHWt9V3aEwtcp6cT23qHwmN/VR2NKC6vyuwfIHLQXXxN4Un39LfmKZ8axguWDjsXb1O6zSEGWdM23flCD3W3NxUhaMY8stYyeN8lYhumBQfGo+qdE1WotDOO6l7i5zl/dCXRoSdm9i1uRerp7S/3v2JRRKcUfYrW0WrSaokAo/usqRUX1/YRKeU5qkUv29/7FxIeUG6QIQQW0D4c5TPUz1tNUSqydVVtFqq2Q9f1paRRUNRMreY6xCbX8Ng0mwheAi4IvCMgTpQnSr5E6UJ0gT5EXoyJl+Suq/IbLHw5aN7Jc1WUFj5VI/Sq/vJbLGIShTRHuycAOtBflNT7CoBn5LMtR+NjpA7+QZHayM01qPHwvTYnmWauJIcbLexksg/OgyVL5o8lRkrzQ15SYoWlumKelDM04SNQxw15myBwdtdtJsyY7uHx7c1nUF3mJ/glEKIrsrEYe23AYS6ZR2tJlzQZY7JkjU6T9Z3EqQrfiLW+GcR/l3DiFXHV8bh/yHZXBVRDdwjq0l2L/HTBa/FDso6UbhkMbH1zo/HbLkQHMyyiyxQzHiTKNcM3PHKwfZC0q7nNdjJwnvHTKyabM7s5eFtEoldgineEdIna0tLSCj+/6YfNYqk7zEfDdexRR+pCArEilkO2v8a2tI+EHIErZWypHKV2zI3a6IeFCogo5SFTsaNeUyAhf0tKOHQZGAmhoRc0L5V8qdKjOU6ZOmRm0nTIyLsnfRci5OcnuKdMWqlVy+WFCvZ/n+aYerxrjVDicgxMZqVnXOa1TJHyxk0pk+SGrejnk+QtO2onyHqm94bkOQTQ1MflBOynmGx1rd75YqTbDD3AWyS+/HCy/wAqC/a7J8PVMjITYS9PZoTa625HMlxsr3NOlK0BEkKtNtBjdTSAIFMJTXbOx1L9H5Cmu2rFdj47kHxPQcQo5NCOTx8ikcnr+sFjXXLPCMVBVgznRlfH5iBktzN1pBNHBabyClNC+uzzjJGtVeZurZDm8momcWMTNHP/ABulLTliTrMsaN1wGE4nyXlT/wD8B9QWtb6Wc5dZpehvP7rMj6GeoGLjbUv4ucSfpmJf2Oig1fHtfD5bV2n01JWc1FjlICitj/wamJvkNVYqmR2gOwF/R+nInxPIrEwCkk8sftMctp5QIQl0vkXyFPcneU2PYdFpPjKibpQhbUE2jQsKI9gfbyF8w1+QNOsr8jaEqM3n5inSIyL5EZEXLui9F5T3aT5EZE56edr0oyVCO9k/T3F5rOZLDY3JUOax/g4bm1x2MoeS6E6fTYJMbNbmx2Qj5HY7Us3BYQdtUaxeSRBHJj7FkQRfiStIUbmEOsNCdl4Gut5mUqxYszNhpvMtfUccUTyPi0AOrXEasf6Wv/ZjXAsf+qc/aIBUbQ1M0Y3xO7EaQKaf27nW9pqj8Lf65CHsnggpn00lByKITWdjwOhUDY7FanBneUDpDlZp7LIMq4UJJwr0TJ4LUTYXVbbmGtkfEt/YyUper7GPIgbqeqxZOvG0em/FG8r5XisLjMLV0QvjXXaK5twHC8xoZTjV7A38rjZHJ1R7DDV7r+IeWfhO2ygQ2aHSdAHNkq6dPWKmgc1GNwW/Ypqam/TVAVTd5qn9W+zvp7iFLJoTyqeUJz1GUzSc7Qc7a7oOQctp5UbFHGnRJ8QTYgEzwD9MOjUkcDUm8Dq4LWyLKNjSNjajlQk2mo+E5OKc9Od5MnkzIzJ0+kZtoyAkvT5Fx7Cu5BcwvBshieR0bcDY5rHxSZNlLI3fVHDitkzirnx14nPdhx2qcjiDMn9EPdEeNfl3WxBkTKlY2nWZIq0E+S+e47Kw1xb5a4luQs2Axu02EFCNNhUUO116jtt0siL/ABNtwt1zrH2JWSPkLmuauxCbMq85T9kPKafAKCb9tW0DoTxdm26bwnNLHNKBQQWkNg8Tyj2E23WIspiJphxzHNa+hWg6X6FcK7ZbGrUgc9hYF+SxjZsiQ3+ZaTdvsJF9pE+SartwvX/HAs/7IgtLS0tefVjjEeRo2MX8ovYANUVD4nUqHyRu488yT4OaOC6x0cmlIxPjT6oepqGhNE5jkEE1NQChPmoVUPhntJJpTTeZ5/E83iV/kHaYmuADnrac9NKBW19qEbQauiMe05mvbRJaNKuSFBP1bBaBTJGlaBDLJX5C/I0Y5/LJvLbADfydoyJ8nlz/ACX6L5U6fybHkzbXyLt5JVTGZG+ypLew93j3ODm5OLmIUcxNHUFqUZC/mKNfP5/lNDBcbwbITJNgt/i8moyzX28azThieKX7VqGCDHx18my5M7LUqcWa5JZyDzZFaKGd92b+Jc+WvB8Y+kH6UR2v6rnxM7Qjd2U8iD9hsOxbqbaIxWfG8PaPtzGuXwgGLTS392Pi0neA0oJi2gvtDSsRtc25VcPZhTdpp9j4WJuGB+EzDXqL4Z6/+OtZ/kQ2LIckDFkOQiSSTKMcJs2yNf8AYNo5CWdYT0v51ny//j9zMjJejHqFQOXwHI8QT+x9B7zaXM9+ffaOt5Ws25jXs+CW3HG8PxgL8XRAEGKjepMRE6PlHG/x5rUXV0gK0mRqaH9XUA91zHNAe3q9MCaE0KM6VV/mk7Y7dQ6VTWfNi0pLG1K/aOyWjyPCB8FOO26TB+ukwJjFG1AItTgiF1KDU0KMaXy6UNrShuIW/DZyF85XzJtlNt6UdrsmyIS+HSbL5PDp1JMjKnSoSIElNLSvpvpxfribJcVx+ch4X6Z4XBN/hKVc3cNIa93Iux8letj57V7CZOzdyeOjoXMXMWxQ4uWSY1/iDavRuXoOmo0MfdY90Fvq6A9smXrCxfvC3wGhH70E1PJAgm0p5ewDukU8pe6tAUDtGMOVnHdjHWex5Z1BcWoyLv5glUh8F/lo8g+GlD6YVvz/AG1vY26zPjsR9ZI4hoRpzAFpEJpLVjsk+s/Hco/xtzrJV/Ot+DO5V3b+Qfs5BysWXSHF07WVyXCPTPj/ABmm1rQv13pW6NO7Fyv0N4jnmZP0+5f6b5ji3IK3JMINAor/AOlJr4svda3LunL1Sh7qnTauhgabrC3Kxw2qmfhENxzNprAmtCMe18CtQNLblT/KY3NQameCm+VWf1VWZGf9ZJ1NYUsqfJtN2i1aX0u+kXIHaAQC6JjUGprfDEVpPWl/bU12k8pjyC2wQGXCB20vkcUXlCUpj3OVd+ix6EifIpJTpzk9xXdE7X9NCwVBluf/AK7A91PiUNa1x+rYpOj5/io5GZCm9ZmX/B/FMlm+OvRZbyzJ4uQ1Z/ysVV+NN/PdFJae2X+W7KUuuO/EdXfYryPidUnjJx8b1Bjo2plNxa6u+JdnAmbTmWgHG6xzhLCEfx3kxBwr4cl38bO0Ogex0bdr4wrcJYnSHs8r+uqiPV3gt6jY8DfmPyvpN94dKZrXK9V8sYWkFOPhyK0jtRzTNMd6Rq/lZNTWHyl2kfoxr/j1x6F4DVrXv2B9pq8U0eKwNLj82w1NtQPcSifL7EMb8/fZjsNcsOklqS7WIhnuyYjgmasMh4DVA/8Az3jqu+mmFsx+qnp1kuIWCfOk0INBXTxYiJEtLbpMd2Vii+FABAIKJ2lXmQn/AFlmKlkKJcV1WkUeyEUzl+JYcjUsBNY5hYmtTQh7AphX2iiiFpA6Rf4+1/RRJRrJ0CLNFrNmKIKKNMGkXBSS6Uj12JRPklNUMT5n0+PPkbhcH+G8V3PdUsO7517qTvzLTp/SrKZezdu5eMszBiEmcv8AxV4Xsasn/kp8cbH+RctVmRZ7JV4w/NfCrHMq0T4eWY2Qfy2KtoCGRzqjSm1yx0bUK3Z89Qhkldyjo7EdEAx4+IiPHwA/ixRpj44nOttchEyVSQ9C0bViLsrcbQ9eV2ITX+YdkFicm/bf9SgVtb2WP0g4FW2dhIwtdtb2tL49r40WBaR0iQEXLsvtel/D2cxz+JwuPwlHwggtI6Xld0/RBlDBlMxWxvJ85yB0VKhkoDSt8px2Uz/qjn32quX4jm6S9P8A0dv5IYrB4zD10B2XXSIG/U3Bx8g4YY3MI+2NBTBpaRi7L8MFOxw1YxgIuYdzS6OSMhNCiK7nT3EoglRwlyqYN8qh4v2X/UT2i4g3bOLxMA47C1SYKMjM4ZsLGoJi17BM9gzsHxaTgnLZX2h7f05GmpKPmSl5/E0o4tJjAnvAUkgT3qR6Y/S7bOk1q4tW7ztghY3h3prluQrj3BsDx2C7wvDZKfnPpVVuxXMPZxd/juRmxq/noslDbuuuKCrNkWY3EdjjPS+TMHO+nmNoVv8ArPK8rZx/pBlsq7N+gPIGQ8h47luPX3ErHySNnF+eF8fKo4RV5HXnfHa7mSwQm20JOz+3l1jo43XuQntOfhuK8m5Io/QnJfx2N9F7MtC56UckqTYrg+byWa//ABPsuXenOZ4vVtv/AMoch5XUJrQo3aJKeUz7afDigtoJqZpS+VPD5+PyGrWl5Tvb+yU5HaIKY1f8fZasefGyitLTguzgtgrZTlfvigz/ALRDbl5DiKWQykbhM+TKxk0sHWxFvlHeLJ8a4/OWBaK8LaJKJK5rk/4fizz80rYvMbBsxgLS0o4wUIPDq7XmXGxON/CRlWqD6xEbk1rkIZHKPHSvEGCfIqfG9HH4eONraMTE2tGnNhYpJGovdsvAHIZ2/Bog78tQaU2PaES6FNjKYEWgiVoCcFpN2h7kL8UJ1XafSTqadBouHVTP8ueNPd5PlBaVKq+3PFxZ26WKbTHp16dTZp+PowUoC3aIADoPzrHqRxuLJwY30bxsVXm+Jp8aypdBAYpZqJ9N+MWMs2vEALzDJYr12x2K7Qyy5vjm3AMNznG874TkeFZisP8AM87N9CWSI4DKSSM+fuv33F2C7v317JvVh4fgnchzdHF1cbU6jpXjDYTHtfhQxW3RBwmqxWoef8Wu8Z5At6XfyO+277R6Il/2YCm/6kjY+lGmrekTtSfb2haCPlAeSCiEWFBiLF0RYqlaxZscD9FeRxWIP/5meHLytL+vDkWlpMisyQuj5ZiMi/KVoJbLI5YKqFRveH8mWez+H+VgstkMg9szEHPK0tD2P+vM6l+/xqehZoWomjXVoW0EEJOqZZJTSF+qniDm38cJkzGO7Q4YqvgPNfCtAgxcTRFUY0NboMeGqWx5llc89VKQ1Xr4YsrkDMRFsCDajrKOttfi+W1F+MhAvgC+PxO1O9wFpa8FfANGDSMAKkgGpoPNlmlOHbfv2I0mscVVxtidcdwAqz/oFxDjk/J81j8fXx1PTdNAVmTZa1kUNmZli3y/kNTDY7LZPIZa/WttiGHqy8lzWOow0Mez62588XmxrVkj9Yt9fWXhkHKePxtMMxfs3u2iHOOFjmjdTkKY0a/+fPs0N36I4UxxfYHgR/8ArHlpTD4e39uZ8ap8kwluk+ha6HX7BYHAZjkM+A9A8laGL9G+GY+vyP0M49ZjyWLs4bIPOkPth8EqP7RW9KWVgXysJ6tcui6DeC4hnuSusejvN4G5Xjmbwq03qWLquu16HcBdGtJ7A4TQTxJuRsQvZeruH59PfyxvRcFLJpuet/Ca2ZyN681348k0NWExdninJYbI6AV34SWoK8VitIthOd7dkVs79W8TLj+a6AWwvC8gS2nhGeUmCSQqHtrZQY4o1NqHFN7Q4xnWKm0FkDUWsYOwCdaATrTtsL3E6aprTGtuXgspkVF2mMUBIjq7UVRNqoVU2uEYAjCnR6UjOosBTN0toOTPY/TkCtrqCpGeJo1agVpoCmXhQU5J3cZ47M+SLHRVlGH9jGXL0m4uMFgAvpSubG2rGXuyt4QR2LsVWtzrlsnIMjJZetyOXoRhC8ubqNmvjiHiJn+WRup5P9GaEd4xuq8kx8Q5CKIZHboF7a+N/apRY0V64aoyep+g9NVSP5JeKYyLHYct0v6Z/q0eNbEP04bThteqNE1Ochq4Xwm/zTKcc43iuM0WR/Gv9i/TB6z8LsxPcdhoQGi77YtoKTer0xYY7unV7rSvyGLiPFr3LMlxnjmP4zQDVfxlDJQ+pPo5/Fx67L4uywGJdl8ziaMONogIfZUsDXufTGvUnjk9vj2Oz2drV5uXcjMVjmPI3vwsec5HbjngpY6pJDkY5ogJ57NbHPrmS5YtvmC4TxnOOUFNlYd3BBzivK05dUQv+QtqD+XdMvlcVA1xIj8TV+5bQUFIBMr6UVXsmVSmVlFU6gsDUzTUZApJ2p86/YlkSke2MWshpWch4yeUa1stkzyUovFeqoqnmOABfEAhH41pO2UR4dpShWGqwETtApjymoohD27AIvbqZwVt4VwhOrzyqjx+xPJjcHHUbX//AJXPaXvjg6r0/wAP/wBl5JG38SDvaK3cY6ad8yM0YZPjJrM3qFgMpdw93G2KszqzAYY49elNJlfibv8ARn/qiH6xj/LZGnO/9bi4R8uqTT8Zv1o4HulD0wfIpvjqsdm3MkpZ6xPJg+Fc6zDbvp1zOhHj+A8oyUc/pny+EUBLTzFHr+OR4Yov9mDy37i/2cj9+tsPxc54zxfM8otcH4nU4bg2N+Nn2nOEY6OeuTYuPOYbkHD81x+dnU+x+4/oJil+smwuLmuaYppFx/0u5znY+H8crcYwTR49nxtkb6ncUbx7lQgYvRXDfm8o9gFvz9u6hZ2NsmIe9vdh85uH4rmB5DcwVjEcvrcwu2MZPQd8r5ciIjO+LbJK2E/JOPgr1a4C6BdCFsraLlkcjUxdPmmbdybkboXBRwkqCHS6psW3MrbQrgKODzHCGpsY0wBOlAD5An2g1OtbQjdK78TQ01iltaFm+7di3sZDI9FaumZ1dUI1Wi8MY0LQC8exWtpzU9SKwrfs1N8IHz/RRmRsgB9sJ9zQfe2pHumOP4y1zW4WGNzcaWllWXRpylPdHVFixJIfQbAChx9jd2DHoO7sXwfImxgCf9Gz1yDybhlTlEeUpT422ANenbC3iX3FH5ji+mf+22h5j1tmQgEtLk9EfyD4JIDDLp2UnkkdwD/j5nuUjiXpdw/iNcdnH4A1bhYvklK5BxDDclhxTfhokhRn9v8AWX6fvTm+Jn/Ttb9ROF2+b+peB47i+NY9rQ0hxcn2QFHEnHsjEJRksfSvVPVn0+o8cTv0A8kfTdoKT6uM7GSuV6I+mEXKMiyNsbB9637letfHf5PBbHX0CrMNYDS+wPZv+zysy7pi3y/5ofmnkzOCzVocI9J8pnJsbxbD4OrPjy5XsaWV3Ox+IrUq/IpMnh4xHXZEAmPPt9pzQp3fCOReqXFsBFzT1GzXMnNibqQeYIwms0uqhh2o6/j4lHDpABPeGr5tKSdOsEr93iKIqoGg25o/jsWwFNc2rlkNddyPi5aMiaqqxqr/AOuyFva2gVtaXVOCeFZBVtdXbaxwXRyAdv8AolSW062dSXfDriNpRZD4JuNcgp3F+RQdKJoCmFhbksn0Uljba1WxdfxDG/xvHMh8v5kT5i1kbQnN7qQiJdQGuL7c80UTj6tWsK7Iy/XplYZY4s0FQgai+yP3s+WwncbR4sHUXI5A3kFquyVseLu2bnpf6K18QmNZEmxknu1iHyyr44ml8zWl77LlhLET8mm/7T/q8/e/2P8A/kvWuznQxMn1tEBrO750yMRhx7Ifqmt6jXd/q/8AA/hzjsRNR0oxtdSnMLxZqyqSAtb6R0KmO4P5WkF/Z9r1SK/V5lgbHG87/wAfnN/iE7wG/SZ5LvK5PWu3sLxv0gxOOip4LE44fjRbkrtUkX7yxgo1Wvr+oEGSxvIuC3aF5wrdVG4FDyNIb9nxskb6q+lnwqOPq2R3hg7GCHQ6JkKgiCDdAeTsBCYKWby6ZEkqGu5yjhAT2r5vjVm4SrE6s29K7kCXSzueT9KsqDlWk/Vrtr+lv2Hs4bT4/wBZoldiO2xbPweGwL8c9nR6UnhSWPMtnQdZRl2jIU52xDZlhdFncg1YzNZK5bfY+OB3y2pIKHRcG4HkcqhetOhox5KWy1rWo+Q9/wAbR2crE73tAFWCZ5hj5/6fm0pDWbJ6KZBsuBPhM8EeHH7lHZtc/wCNv1bIEOdvMl5Hhqd7M3eA+meN4rX8NQYAur3ro2NPtO38TnrcMSsTuLam6eV7Dr/dpvZm/wBCneLJOyAn/wC+2sb1ksuDmxNHd68NMcYanEl3hq9cs+yKgf8AZhX2YvA/2WPx5eJcKHMv4YMHoTn3TYw9yWojX/h/sub8GxfMKPo9hMhxm+12w/6H076j/wBQzsurWoojaI0neVYjOgPEUbenqBxpnJONelefk41y1muvwgJrtLYR95I2Sj1Q4p/1jkDht1at56ECOMlBulFrUsnVNk8PlAT5troSoovJg8AvYmz6UlsKxcAVi8rN8db17snfudItWgojo0pPNR56xlbW0d+3ZAor7T2K/W2m1zsQIQL4E6IqeDw9xT9lEeQ1FqcNLqmH9eI0hHHFRksoRMqqe1SgXABFBxy1UimMEIhZ3HUO0HPMjpnbIh/ey9qlf2doheq3po3It9EeRvw/KGhEOUviTxrzqsfH9Zy0yli5b1jI8m9KvTyLiOKbpeGjW0+w1oY2WZNbHAHSmVFyJMj5GHriMgyzC136uPZjTtm9h5//AKG628hrGv8ADQ6w4/oOvyHs1hii0iVrSuWBHHz7PnkPJA1Nb+rQmhVovlmxOL/R1NjRlabCzieYdxbk1O1DcrDa+x9L+0dsLv2DIWsteFIV/qnSDbBtoGg/78NPyFaLkRpEdlMzaqj/ABhoK9ScUePc59K+Xt5NghpBi1pb9vK8r1rxzLnGI4CVFEWrqU2PQP38mlPN5/I8NLnqODabD40WppT+hFjQU83i1Z/W1b0rFwuTiXIBdUQv7j3um7zTcNQlbRcu5Xdd0HrumlHyrDOw+DS+PSDStJ0anreJG+XRIxL406NGNcYrYWxnPUr03k4Nfxucdj2f96uNZd5JfsiS3L8nptkqeb4bE1obpa2Znlzv9QxvZH/23JPkdFI+NN/ZObseqvBp+P3OFcor8v425qn/APX2/UO8QH/L30PXHkjOP8C/44el7XGLUg8MXcNMj3vUNYBSSvanSAF86bHNZIa2JlnZg496myf9uimjliDm7imY5B46lw/J+ZkTRkG2RszO8MQb3QPVMjARdtDTB2Mi9WOdx14Zo9pgK/qNqasHjOxpwiGOxJpXI7Fow+mvKMqeBYzLcepe4KcnfsGv6uef22NuI7HytblY3Q2nPaCXdiEXELsT7FgQGpOq/wCQOPjjznCeV2+I5rDZWpmqHnZ9t+xIA9VXwt4hFH4LtIFB6J2S7w/ZUMJKjhaAXdEJ187V+SwB91oE94Ka2FauK1Zc5/krSA8pyKbpqru0qU3mq/a2iV9rS17D7/ph8SOXnRCAWvPVGPaLAUY18el8aMacxOYCvQbkOE5hxv1d9G5eFv476Z8n5AK3pDyK7lsP6Ucaho+hvIJ8HkYZGPaSnHXs1vZ+k+U7bId9Q5NY+Mtd8guV696Li1mf0u5sNBjhsd0JPMB/zPl6j1QtSepXqTQxVLF4xrnBoge4ivEvxma/HajC5GBpX8fXc99Z4a2s57vUnKw4ThnF8p8dr065PYONbJ2bFyGlj8oy2x6mytarLzb1DkgvUHP/AAYgWMZ2KadpjQ1O/ZDQGivVP1Hi4/S+d08pYCvj0dJiqtDp8MGtbLZjY3B42fkVzH4WjQj6BObpVrI0iVru0P2nv6mX9myZT4rNHJstSUstHJeblY5Llb9pfpSS+Q0rwtpxTAXLqGr7Ujx8/wBj/kMwGt/qvS/1Fm4vcpXIL1fwiF9IlZC/Ux9b1C5z/wBpth4Ce/yJfHz6Qk2o2Fy+Hy1gamx9xardW9SW7ITpSDJYKsTndiYhWpiS/wCx7Ff0UUQoJVVl80ZfDfILUB7Fvjog1dUT1Xf9t7WtoBFvnXkNWtrSKKLU5iIXC8Jyq1fxNmHl/FbFO3Ts4m2zJOuZKDGOZim4/mmJutlhEngu2QNpymf4lYZB8j2qItTU5h7Mka5epPHGcjwPpV6gsvQ/I0K5MK4ZaZImWGNl9T+e1OEcb/448bmZjPldJJHWcm1wjWCEBCDXhf5F2cvBXTy5pXrFwzP8s4zco5Pj1/0r5nZmp4jmdSVcv4zHyHI0pZq6y0V92QnhxtC47lEleLjN/K5FRkyJuo1skf0S2Mc7zPLBWy3E+WwTEywSNd+snhN8pvhY1v7U5wwZHKNYPT2mIOPdl+qlaCnt2q9ksTXB4I2ngSKV51/KW6Mt05K1eOZmoOowMx8fCc5LdjZkYa5fP3QGgDtbRchGAgfDippmwsrvMrwV/wAhP/8AnO+iBr019SbnF7WPyNXJ1d7GwUfK9Xr9aHiwPhz182l2JEUZcm1wV/q3sQmyKKZoViwCDoGVwCllU03maVW5fD/2Olrxr3+lvyfpriHUXbdjh4Y3x1XVdUVpBvlSp3ghNQ9tLyFrS0iiEWlEKGCWV/oNxTKUcb/I5Co/L5W1NWx92oI7OFgyctJlWOjj8ywzssO+CJ20DpFuxadpN3odXIV3sLZCu6lRmYY38Isxc2byOKg23l69upieR077rGair3fVj035NzHJ8dq18LhKlmw2402iG/lFH8pA2gvlnC/LcELsSFmu47jK0Qnkb9WPTrE84p8J9PcxxbLOylKGfK5R8Da2QeDfn+Zk7XMjrMgjL+U0McsNyDH5dMYGrwFNbYwSySTpgKP7DKcN4zm4+QeiMHTMYHKYWYN0hoqkQxOudW4jHz8nzWDxbMTjgAvGiE+NPiTTYgMWQjkR091+yFetuikxeTzeSyk+VFu26tHNZZyShDYr5czw8ftWsrP38l2lp5Q6NRk2jIGmzko41PZksKpsNYdn/kM7/A4+dqBhJ4bzXMcYl47z/B8gja9krZHsjb6m8h/nc+4nfQuH4xJhrjXVrV8hQkRIKftGWRq/JftkwKtT+Z7CfJ5nkGrEqB3/AOBK2gf1X9a84tn746HYDfBHttE+5Ck/YPbojwgm+wK2uiIRb417O+/Q7ieRhsuzdrEvnvXLL6UUhZZx0DpZvmsQVmMip8YwMlPLsuslFeUJnkTy/GyeZz3Mcuu0wEJzNouLFLYjjFn43NyfZlYO4tyauyH8GjTjx+DTpa7peWZuhjRgMpNlKVCUWFExjWhsZTYnIMlX+cLvIF2BRZAUa8BX4ymjlaMsx0sBjzmIzsuJrTODg+R+FrQ5CRtKq7L5SpYr4qy25HexkUrMNmOZ/m058xZj72XhjHJrHa07fbxtidHE5Znj+OzlTnvp1b4q/soZw0WbYLfSvhWVzOTja5oD13XYFbRWgVJFGU6OVqzWQsfyNvJVmDB8jyNy/wDBHGordTcUmBivto40Q4a6MOqD7FoRwdXfHtfjhGuCp8d8qkwUwLqdiJtf9U14af8AkHdH5pd5afNNgc4NDWiRzX4vm/JMMszz/k2abokxwbTYmhaa1fImv2nffZfNpGZqL2kOPkzKabZlIKe/Smd2Tm7LmaR9iiimp20Qo27OKjG8ezTHex9j7N+j/q77eF/Y0h/4EItCI8OXjUNY27PHuLUuL8ezUEcmSFsySMjvYuxNnaj5aouz3Y5Qyzl8nbii45Paq0MSJJ2vkdtzZCvjiTq8RPV0aE2nbcU4bGVgbp0uRa6zmsayevw7js2Rlxsn5PJcLkrmXirx1mWcRTvT4qp1uwUqwiFeeELUK0FqRASL9kXI9E7epHeLJOsplYolkrUJgq/yOSv5eG+GGew6nbp/ylajfs4V0WR+c4eWCKSCETAVnIQStQdZavyJmptppX6PXxo/Mw5CnUy9TlOHOAzj5OqdIZZOKUK2P49shfa6tTo2owuREwRMunveFl8o2lHmxHmp6UX45oW69x85tzRY+GCuZoKD7OQxUk9nC078MmNu0vi348H20tn2PlSVoZA+CSJ3rHlW5PmjiAoRt1BgCe5OJWjuOLzHXATiI06chfNsvna0fMvmTpU6QIzL5zp9k7+by/ySpvKIRCc1PGvYo/8Ag7wK4/bFRqt+rPfSIG+qH0SnJw8OTDtD32iNohEJzUInyO9MfQOV45G99OnWzL3yRStpQmOtmadDjFCa3eqy1bFPHz/ktt0zJi+NTW5/jjiZ++/gchCwLqxWRqGs8FnyBZDI2YX5TM2+gy878hyDjuCls/H+K/MXr1mHD3LP8biqRqxNyPirkI8XlsLmcdmYOx2C1dWFGFhQjK6PXWRaeiJk+ObUjXNWaswUajrtDLQCjUsl1mDj7spnYJmuEHR08zDOPgv2ZKEtX/rljLu45grWHDSVslAuCBjXSMr8UItsxJtpqz9yvj6XJ83Jns1MfD29l6VeqdJtOCaKxF9rRTthEyIfKmscnRbObxlfIV79WDE14KExdUxP4F1rWyw4ynP2dQ2/leHvZGzisnLPDhsXFuNjiv8AO1CaYIToSNK37HSeB19ceGw4HJHaqs/auere20yLunRgJjg0fkJzu4f9O2U4Fy25fsnF6KeTtaCLQtNCle0Eu7EnZcU76k+/79j7keKo27GjzXH6I+29IhfYI0iV/RHiQIS9HMk2v7R8LSKcnBeh/FYs/wAoi24W7mKgbnM1x11iSpXydevnLEFybHGpDee91bD2p4oMOyoyxFerytE0ZRe4o7K+EFfAzViB/wAdWMxse74xZyLFPZhtt5Fn/wCCgpZyryXEwT2DjYq2RqMfSkuq1dsBucGQuYHBU8fBj+PsiwT8VySrdALXN6laetOX7rb0XkIvctkq3V+dme4668KWCp4ukbLWDFURyOnBhsXUmc8hggdet/wM0MraUMDeKZJ/8h8MjV/lahLpfLGgAgAgJE2SVqnML161Xb0FnsNvKb5JbtcW9RuT8XWK9fKMjaPq1wy+IOa8atOYDIgGp7tKV5VmUq7jhYGTbDXfV45LVuy8ZmZe/JgjVLE5g5IjK1c3ib8Nl2PLYIWOGg5B67BAbAYtSIvepp2Mb64c0q569HHsVoPLGHULExgapii54XdfNpfICnaKPha2ij1ThpOAJ0F4CJHWacNUk/ZF+k56LgnvT3rfsVr2KKqDzjGqv/q77+//ABcj7O+n7UoUM3Uh+0D4K6ohPCd9f8c61duELw1trA4/JHM4avirH8dL+LBx6oxj35G1DasWajZL7/jtuyNhcalldHGHJrXLTlopzWprIXWJLnUurzTp9OFzX1YWTZduOyE7IoMJBaMd2Nt67PWPI6MM1G1RyDsvl342m7JtdDheS424xkT1Ry8tdVsrVmaJNgF63IERKV5Ja3Yd1Ckn0pmvcrNYGPkdi9Rs023GxZKKOBNt08/UxuJs4C7eyEz34VtfIj/87hfZqV3RVyzqtAr8eNy/FYF8D0BKES4J8rQPXSOrLZK0h4IHZvXS0QsPir2Zu8E9NKfG4wNLypT1T+0idGGq1GRHJx+O87Js/Bm+OS1cfj6GYvVg9hpSR5HM1eP9nRSfo3poNQJW0PK0vkeEZXL1Ot/j8QrVS5VqI0yANTQ0IPahJ2TgCnsUsacCiSF8hXyL5E6bSdISu+x2ROlJIAnWtCxZ7J03gyp0qMiL0T7dlrfuUFTb5xg8R/q0+f8Aw6rScnexT2+JW+ExxQmIXyIojxpOX/HbMmDMNf8AJPdvMpR5TLz256+Ut2jPkK9StSlKvWaYOVoWG4jLOzX/AFP0+ylfOYWIEN8Afoh8Ke6BrfFq4yCOFFpcnM0MvTkDzxp1DIWfx5qnaXG1LVmajLXnxNS3DHi2Nq2nxZH4qkDMphMNZnwlt4c6JpP4cTlG6/XTcvlo1/P5NQTzyR9gjIdOLnrp4dEHKeL5Fm6AlZjsBkCf4lj2y41+NnbmXfJhrVTlsGE47kcTka73NFXIMkaD2B6rTV12g7SLl4Kd0aPXexXbHIOp+1pRt8dFj6E161wPg+P4ljdH2kkXUuRAA6aDoS82KgfHkcXIbn8c+SpicTcjWKpNBt4qGC1QeJYjEx7OpjLSPYFBAv3uRPe8L1szBljhgYF3YwPtBOuBfyABiveW2182w57SnBpTwNdUQjtFjiviXUAyaTpB1nnUsxTpCU6TSMy77Xfx2XZbQX0v78IolUvvFjwD437hbRTk72KPkStTmpo8BvsQnJyJWLy1zCX/AE49YMVyFO6sgzjp7IkyTIojFZtNx0M3zZ7FfydHGsbXj5JiMplJ+D8ei4m2AtczSMMZX4safXjaIo4pXhoR+3Ru1kK/zs5DibeQrV8djcM/LW6WNu35rc965g/myFya2+WX+QuUhl8jWqxyMzcHI5c5hrHE/VLGZQMDJGaXVyq19ADzvogwvR0gxP3KZQ1jK1EOFyqBB+AOljDx5HGV+Hz1LGE40eI56L9lJH0e+IPUUlms5mTaU3MYqWbbl+QjNGV+qznK8Fx6vzjlruXZmcezQo/psfn0h4SIWDwtpzij4R25HQXx9kWK45sTGR9nPiAGPgZ+O+oGL8cJrPje0KaLu2G3FJIHIbTX+fkaF8jAr2RpY+HnfI4eQZ6a7pTXk624r5pF8r1HM4IW3BC8hcTZw5dgRvquwKIGoaxkTsVZKrcdsyjLccsVI7D3RvnlUsiMiLyuyB9j7BArsi5dltf3S+8YdAHwgh5WvHgp2mopw9ij9PTmArWkAuiKcnIu8OeAeHZJuN5TQv18vS5DiqjqWSxccymkrSKrQZXbhs3atZW1w6/az2NxT2xwUK8SoybRHktREqstcY6oibHH8kjv1YnAvVpzIIs/+ZdWQ4g+SO/hbl2IE2aNm9ki7Etqx1ZLtuKWg1767YWfJVMU8fIPTPFZhrbnPPT2XDesmFtHGS1sgxrfId1QauxK6gAyOlXUQsczs5sfSO1GS34f0rxdVcqt3axv5RYNNeO0dYnRjaV1Hb1d48Y6uD9SOW8fOP8AXt/TIeukHxZX1Q5XlGzz27T2qQeHJpUb1xHFtzvIKsEVWEdtFFaW9JrAjoqRwiZaeZi0AKX/AFxzB+O9mx023p2bH5Xkr1UxOTxwxXrPeqNqes3EZk31V4m9snq9xdpyfrXQjZyXnGY5C+S6SpJy5Er7RK2muKC2mukKH5AQslqdb8Y6m60sdxL8kY7g7QoeHxBkPF4GNz3HInQc1xYxuQm7bld5QWlpaK17AIfbvfS/ukPOOCaPAHtr2d4X2tJ60naR+nrW11CDF1TgpDpSLuwvw3oM/kVBn/GqRzuOxUvTvj2Oz2b9Y+YZbHU3wVOPYXiEAxWVzmX4rxGy3KuqEMxdmzLPHXhA00Jj+4cxPfIxSfNZTWx12bc5a06Z3xjMZN9ghkkSlkiyT7tmKhDTrWn43G02y0fxfxG4avLfyNeq6GL4HRKEFiq3uzZYa9yPPekla9kMfQhx1VzkG9B/uNsY3/JYJ6Rtd+razNzFWAUWeGN/aWHsOnhia07f/jkDfD2bGWxzMtjchUkoXmtQb76Tx4lZpNTCvR3zzdoX2idIIAlNZpf/AFLNHAyaybRI/wAmvMw/XGeYw3yWLWkRo60r1OG/W5fg5eO5xkXV7S2NOsomVyfDM5fjOX4rgnMds7CcfIemnw0+K8D7DsLxx8yj4eDHnOHPiZFVsNt8UwvZYfCxNZDSiaviYFqNZeBr4PVei50v8NlJmO47mSX467XXTz0XVaIRG0GLqV0KLF0TY0WhNjBNOPzQboNCPsCiUT4QTvJ6qQgKebqo5uyaEB50tKRwClcFJIpJNLj3L87xS1iP+RdN9T1B9U8tzab0e4PDwnhox9YT5fGQ2o6+O6w4ii9obXBUdJli5BREbWwFOqtT4GBbGw2Ry6Rxppc9WrVejHdysltzmnZj6iKlD8tigyc3ON/nMixJpyx4qKJtGjDFM+uJV8Ok6ExIN7qCZ8SxzPkW+qL/AI2tDnl72wqKJ0he5jV4DT+yxtiKyv8A5mWkRpfalZ1Lmfsfp7fkjrSF0Tdhxb0PqzjP47l7T599p5XUuRj0mu07h2cPHeRUMpVylQO20aCGyvpb2rVyGpE6WfKOirRNbNGI00lGN7jTPxS/3INp48O+o/I2d+uvGxNBPtqaJHugqkptJqdWaEa3l0CkrgqeqFLXeCdtNdr53Y3js9k4biXV+I441ihw7GszGFbIy/xJgs8WxPxsqs+NgC8rqVzb1DgoSWrFm/K1q7OYnwxSjI8Vxl0ZLit7GkMO/jXxIRoRL418S+BfCEYQhFo1m+aI8Dwi5b2h9b9x5R0pZA1WbQarV8bo2e7oRsCNBpXTSklCkf5lkAMsidIg4b9D+Lf9o9QgwNGtCUdg2HSrx9kYuyxnwVz80QHzhB0sifC0o/DC3tI9OsVKys5lpVqxPkbAja1jIlO3sfi+OOnVLn2YesfwgKWH9GQaipStc18S14fXcxN6SCu1rIQ4RhsIYi9z1DVDC6Xy1jGJoc4+pvqDW4pjfSN9h/Cv6eFpEeAP1nC+w1ReC3/FYkThtnrtACR4Q2mtJTYSvh0nQFNjKlhPWbsxzJWE4Plud49JwzktPlWIa0OWyEXaHOfVrB8Vi4hdyXJcbG0NGhrr2PQFaRGnNIe0eVryQh4P/wBclxjMvhJ8c6KzHQ0mx9F/RTk/yvj2Zq4IlpbFqi/vxfAOmOB43plPCiJQ1PjTR4tQh7ZsUx5xtEQprdIfYXqFyS7hsZ+TLIWEPRh6tP22QL5DGh+7MxxWtdFmrYqv6JsaEQQiXxr4wvjC+JfHpVx+1M6TXeHFBbW1tDa+k+YNFy00LJ5INUuR7OxFjbqDu7QP21pORl2pJ/Mknl8iJ89tH/iZiW9d+P8A5eP167Ff/cx9RNGv5RtV3/Ymgcg9S8XxtO9eON2ZI+SMlZNlbErIy6d11/SGvX+KMNJMuo216yc0vfUg6i439OisR/qyMfG9pibBZM6dG4OadGeo5Yy5OhJExR1pZU1jGNe75S1jIGhnd3qL6s43i0d/K2svZ9LXtk4QRpp+kf8AVv8ApYG2hf6vJ6qw39P944yevrrK3qyJMi8BoCEgC+QIvUbdp7PGRaFC7Rjk8+j3PcVx9jM3ipos/wCq3DcDHy/1kz/JQyGaxZ4fi/4nj7W+XDQb9H6CkaqcrSgQnJyP0PIcOw5hSbT5OwNRATxpFfZ6otWk5o6spsfNxGjGsbQibEI9LSai3aMKawNQTfaaOOePnvEcb0khljL5AEySTrG6N6dG8Q1/kbCxx3kcRWysN/Fz46TrpNC0OuhpoGwPOtJ31AVUcmpxQcgi5AoyaL7GlYuALJZDSyNzu5r/ADibPU4ez2DDtb8bXzJ0/l8uy6RFyjAkd/x2zOC49xuC9SuByk/0/qHxYI22Zu4p2bT4lzTjsfIOP4em6tyXHkmI/wCRwja1laJ1iUtJXxiNvxGxI9nURRfsPDbX7O6+bTf1jj/R7NstiavDxrmWM5Ci0dmeHfgibIw04IV8o317olkIuXqtKH1D9cZLRfZlmlBXoLmRc4yfp31/bj4b/o//ANcZaS7ZY0teI3946zwWsOpPV7LMyfJARvtofIuy+RfP5isaUljYtv7DqF36kyhfLYUdTs6OmAOFYv8AkOUMAamJ6/8AkoeE8LP8tj4znOzT7H6142uy9RnMdzPend9o/T/Ca5bTvK0iPDA1r+L3o2nE2WSwa9ggj7NWlpWHaHLAZoq/HZX1ncO/JjyvGMhiE4tcmuPb5WhgZ3UOw/PU2Xae9LynYjKRxYzj1nMVshisjjHd0ZPLnbELlSeO3bTfkXyhfkdV+Sjc0pLqmuq1eV2YvUsezI3RoT/G7DX/ADWn7s7bTUZE56+Rd9ra0vSvG/yXEcXcyWLl45z2O6iWPYz9h/qYHh6e395x1d4LY2B65LxM47nkPWNtKAE3nnuyFtaCGHTZD3dHAGN6dn1o/wBwzSs6+RWR+oA6Fm48h/8A4TsjLTyvE/VqNza1qvegicwqKcwo5PHxIZ2vI2bKlz/VH5LnGNAL+2r0c5D/AAnK2eWu9j/rH4isTNhr8V9U5IOThytTx0TkeU4mlDjfWNsOVyHrVjY69m3Jes7DSZF8i+Tx32ggU9xI9N+B1uXy2PRniMkPOvSvM8WIa4OjVXpoFvT0dqNtcra39WFH79nfR+vXuy75vTPlLeUcZ+vYlE6N63DRqZbN/wAzyAuXZN8gsTh1LZAiQinFdtHF5B9afi+eEgqztmjQKaQivpNK2v6sfV+h+U+tx+Ngbh4mq1g4ZIub8Ldjp4i/qC4udKGiCWOUfU2bqtgvBwC4gK+YxcFepgeT+oeLhuYcl7C+by6bQin88drsyNifidz8OGOxblufk0XyTzNa675kv6Ml8lPtOKe8uT40+HzNGmFzTiLfVYq38ga5MctouXYFb9gx2/8Aix+Pf4/mcRYw+SsTntxrnlqgzH24L1dzfED+pm/0tN22LZe1p68jxUN1rY3fOJPx46THd4YnTumdptet0EuyjqNtRvdtib8cyfuunmy0a66Z1/Xkk/4uFsdpJo3AjG8kz2Hk416wY6+r3LMdjcflOU5PM2qEUUGN/kKc7fULlmNvYaVg31WtKpLJWscC5DDyPjwO2sOy8gMj109UeTx8d4w0u36ferElVc+ylM8Q+eYpx2g0lbARlRk8mTSBLkGaXVaWNxGRytn0z4fd4tjmBPiZM31G9Gq9pS1pqs1Xe2NLm+i1Xreb4A+h59j9uTl6vZCO5y7065rLxDM1LcF+oT4knhjHK/WWvgsrzP1Oz3L4qsQjTZl8yjnCMwUj/HYgskcVtEo+fbj+TNeTjWV+ZvYFdtJrguwTnpr0w7X9PbtNrs3oa0pGjXLo2Ctkc8cfl6mZx9pSM0fO4nnWYgkmk4lwrDrJcSPDrGLwQ5Tcr8Uxv43P/SvHZCte9NY4at0GtZjkcVjsi+lY49n25mjxH0xx+Ps//n3EJD6k+m8Wa49ybjXIeJOM73LtstX9lpT4/E7Qpho0Z+r8Nd0q1kPbG7wnBdPLY1HCvjAXo76hu9OuW5vC0OUYrI4ufESzN7s45zC/xt+G5fiM3B4DIJGzRnXaVhhlhcHyMiNivLFuP8ttyeCN1pPcIY61cvLy1g+Po2w7tLQ69XsjkJaV18zN2ZNBo1153J8HFXfshFpPed4bBzZOzNP3ZgYf5TkVyp+PW5NmrH892PZ3kPIBPkx+FwDnlzhV3Fc64tlq9rnnGKNm36scRgmy/qFxnEUOd8zs8vyXch3ydhLlsnYq70mrsAHyHTn7XZMZ2UcOgIwnRhcUwjc3nsZgcbhGdNpzUxzZER0XqR6Y1+U15hZxl2veYvRO0183/wAH/Vh8IHad95GzHSqchz5yuc/kAvSv1kr4ES+qnAYqvqL6ou5TlnZZ0j25SNyivseo5Oy0STsIOJRetrvpfMhKNdwvlZuGz8L+IZoA08vWkidbY4RTtK+cKScJlhqinGvkW9rXu8Lk1czVedcenpW43PYqnIp4mxZyp0byGm9+WtN+PF80zmKlrcsyXIKWBylWkyqXGO7ZihZ6l5fM0rMDfysrxPh2FfHz/wBL6srfSzjTcBj6kFlOB6ZXmeUx9/Ox8a9WcfmMZNh8prTv6HtI3xO3xYCjd0kx1vq7F3OyrybHxoxeRAo6+02EAPjUsS9DvXB3HhlcPi+U0M1jrWGsl7JWRvkrvw3qhkaEND1T4+9fyFW5Xq5WnllWlMNuN3x5DJRNhu8ewt2PPF4hZBAZHO1GhFpXJzGz1F9QIeNx8Zf8+EaAUO3Vo2nj/JIP0APx+qk7oOJB+kJgFicM668siiFiT4memOKD8p6kcy/6zijLJLJ5XZ2nnstoWI9uusaaOTEZlybZGS2NvbZfszFxLtpp0t7Q0tp7yu202JxUNTajr6XVaRPVellmOPl4CjPUlulIwpknYEbXq16YQcvpTS3MfY/49Zr5OS//AAf/AFsA6lNCPleu/Kf4Hind4Xyu2ZHORJ0ZXIzS6damaKd2TeIlEjGRtcvx0a6dBoiDsJK2lIzqvK8kkuXyFVsnarqvzPL11X9RMpGqfqpOwweq9dyZ6hY+cQctoyKpnqz1WvxzCMdkPvS0iFdgbPHz7AxOrWojDbag8rAwmxcfRNijxvCVsvka3HMLexeC+aCaHlUNePlfPKNaKtzzi1mL1LkwlnJ8X5FnsTkBetZWvx+5j61OTLRQw5nmNzIK4C88UquxWN5dct3+Se+/BJ1P9WgnAh9actOLtecfbBHxL8dMrqOAL4QnxhPYVK0FcD9aOXcCdyD/AJDjljsde/KQeJB2211WF4wvIMtiI6PI8jislxn1Cgykty2x8eZylXI4z/utahl6DHysfN1TQd5jk+GwkfMPWtsoMeTzl3C+ptbj3G5fWfLdqvrFZYMV6q8btvqZGjlDK0iL6j9acwGVv/rD4l92Z/x1x3LlGDZfyDNXsVZsZO9kptoO8Pk0p7TI1/J9U7JP2Lz3Gvbco7b9Ml2g/wAdhoIFByBLkIXFNp7TaTUKoCDQ1dltOk0HvXGsr/E56pajtQlvZMd7SxEFjyUGL149LRlafpLmjhucnynu/wAbSnO0u3iWdlaP1S5i/mPKz4Xbz3XZOQ8h7QUw9Thrpaas4c1rl3TymSJztmZu1IC1dl22uocYKQlNXizpxLwmTrLw601S8fvRF1S/GhZyECh5FlIVS9Qs3UNH1iysCoeuEYVD1i4/Oq3PuM21DmsTaD7FcjnszRXysgdke2hDBNckwOGGLq5qAXRDHRxDOCZWbLW+U/Jha0HqI7J5Xn/pvenxRb5aC5elPFYC7LY2B8GD5PptCw2wuQNqubxrAWsnb5XyXBcKwfLMxV5DyDwh7/1N9WApf94vujN1VG75EAQgXxAIN0iAntGptqRiLfEZ8+nUuQBfp73k6PzMLZBvp2Tx8UnEfUiziLM/KcDVgzWSdm8zivVTkGEVn1+yDY8p608uvR38pfyc3fS4/lWULhcJG9I3qpTmns2cHPDfwUP8FI2/L+JByrGTR+oM2TzmZhEs7v5IU8M2wCfyRCYQYzmLL7F8OKjeVvS+BsrcxXMKf9KIJjUyNMeWoTHTZSVG5Mic5R1vEVUJsbAttC7sanP2tla9nnxI4J7x19H+dwZahHI0p7TImPLS1TQpkp27o8esHB38F5XwTkMXJuKvdqJrtBztvGy/119QYsRiiNB67Fd18i7exCePNSwY5MXkQ5sMwc0vTnoydT3WwRK1P210bkxyqu07E2XKOTbP1ToInKXG1JFc4/j5GQcFp2kz0kgsR2fRTJhtz0q5LVNzjGcoH5Zo3RZPJQFnKc2xs/IslcBqY+V38Rj5DxjjkVePLMfZmzLpKde5Vztp3DcqOMYjmub5HzK/VweWjmrcovT4UcEhms1eN4fGxS83xeMjwHqHBl47GCywdirdx8mF/HqQZjmnHeO0fVH1MueoWWDtoIFD60j9SfVlikZt/TSjcWKnacE1oTfbac5PKl8qSPae3SkasVnL+MfxzmdbIr9pY3CeN0sRK+Z+i4ObPTjkY+rY1XpPrOvwyOUjnBxcuyJXbzxW8blvIY2zi5fT7BMzWVymPrzZWvx6nSIrOoS8kbWMmVgvZuWLjlfE1ZH/ACjYaK8vyT2Z4o8VMflAJ7NTpP0/knRjI3nWGytOw1u4o01hXVBu1pQ1JXqDGuaoowxBqD2hdwnvJ9mD22i5qmlaFJaAT7g1j89aw+R9OvUvD86pMkcpGBwEjmKMgqeHsopSF6g8Yqcs4x6RZo8RtvIMPZR6e/1F9RsdwPFZTKXM3e+PYlYQXFOJQedteUEfqT6L+rsfeMbsXkWvHy9l8m1KfLJl8u1I/YmbtbLDHMqr9uxEoCgf3aHraJ2HjzjH/vin7bCnEAWoKEozXE+I3Wci4JxuBZjIVMPYq5/HyKHIYxyxras035nxY9gYS+s3VupFC2tlKVuSTkeHjM3N8PGp+f1Vd51fkVnLZK4g0lY5zq97FcjFallOe2b3KBjL9ivymvlq2UTU0oeU06ATvqRTgKSL9jGQS1RydE1D6J0pJE6ROcneU9ShP8oeDSkhht4fm+KnENhk7XMBLtSkxmuhICHnZ0nRFyyNZ0EvttNPZ1QuE+G5HguX4LAzHAchw2WdDyHJsjuQWpfwxmMz2luZLbLWXnsgz6FiQsjrO0zOyyxRxYy0+tNBotDmJ0o6EKxGC17ATVoWLCqcYyMgr8WftvHcc1f9fxij45jnL+J+IBgaZLUYJuJku18wXyNK+QL5xo2fDrmlLeVnIN3LktJ2R2n3OyxWcyGEv+lnrPjeZsbL1Tusie10SbOpwHtu5L8UNwmAs5jC5IV2PvgHKZ1sNfMQcfzgzeHjqziBWIPEsehI1aO2qNAbUrPEzdJsha/G5J0aq5UPaLLSHvTXdU2VOf4JBUse0HFroZPOLmcDjJdxiXz3BBf+rv3NE/FJiZT1ik2pnrLZExN5jzt+Jbm+cZ/kMtbiWbtKtxLId4uIxfjx4vNUZsZn55U65BJZZZlYfnbefx7iuKqT3/SfAy5r1OwUVFwaNhgKbE/fxbTWkK9yfLXMd8YauH8sbewvPbcOQzukPCC2m+fZx8SKUeXs2nRp7U5AeCFJ9PdslyLkXIlSBOCKh6lvmN+E5pk8csTyylkIxZhlbHLG4TwSRmM7j3twjBdl6TXxlvU6RCxeKkytj/rmHx0L5KUljDmpQkociqWIMLyhktbk+QbJHdydSZMn+WSx07N3v5i+Wqwunz3aW3W5OY6k7zO5m9uiGvjaocHdvKnwzHUF+NBCZP2UbdJrv2dsu6dW/kSsfl6cYpfkSJk5QsaQto2l+WnXtA5DxLkHKbIPU1op0zt93FAobVexJDJ6a+vdymsVl8flavyhynha9TWHxrJ5Gtp8Uf5n4oM1wyVz1mlbJJ3dyngbG4OKManpyvUmBzMim47nALGNvwJrf2jG1GzxI1TRkqRhBimcxVsg5qgy/mO+16bJtNkKMvjutgiRqgdo4g93UY9RtIQcAD5GjvHwu+SjF1bGHBWdRw5rk/FWtz+Ww2Rca1eAV5vjQlDk4zhTTPYWyOmVSINFvkf8BfxsmNkxfGMFAIMtFCKfL4LFbD5bFZKnYZE5Nj0gGhaRauqx9+zjJ3vMr9b9h7NKCKkTmnYansT4zosK14JT/KkH7H7RO/ZwTgjGVFE7sa3n4dKOF8SxPILtVUs5WsATt6PZ8jYInEBnVZFnaOeLq/r5EZkfx3E/xlDISdQf8k8eQx+Pjx1l1hfz1KBt3k01l7h4iZ+r1vpG2IgQufWViV00j4vLSWotOoK8llUsdVqqNv7ylwc95lEUT9fG5gjMMTZJX6h72Tkr2P48Ll6e9IXFbK7aReUZXJ05CMzl8ykO1IpURtA7UFaxZOK9Nea5UYr/AI5c9vNr/wDGLOhvH/RfmHGJMTFymFjy9oyfIMPXWbwde++pSd03kRbYx2Wir2G/D8bqkhgxnO6/H/TThsNetxzAVmsoUmg0ajlPgcJYGY9GvTzNN5H/AMYofj5HwvkXELbm7bNEQpoyF18h+jDIS7AYm3efjuHPey5wiZot4S5UT2yNTOy/2H+qxDyHYrckb26LntDYnfrTg+Q06PmnCuYc6p8TizXNORZ1PiCaxAAL5GEtg7NIkCijMrm413a6zUfqbdqvyHpHzKHGW+M8rxpo5LMPzM2QozXoM7xOpcwGB4PLjVnntdl/617aHtra0vG+q0h7uCLEI06Ip0RT4vGk4KQaT077Psfr7XwkplUptXR/FOhU2hVUNNxVfGWiq1PJxiKeeBVL8MzJZeqL/kZkY9Slq4fh/wCSyNxoC5VIyCAuDDEz557v5UcdjTW1Yy5wO2Vn7b1jcnMbJJ/o227UUdV7p4eGPDM3iH4uenDJM+pWEUcOwGh0khrSOPzVYl+bIvD2srverUmPpNyXI552E7f43tbRKKeVK5OkXfZ2SpBtStWNw9/OXeC/8Z2/HguB8P441paxp29dSj2TttU08bBzbkmNxsWNylq9QpuvSXGWBVRyXw1sNb+WrNkXV6nCM3heR2oonNaDYavmKEi7NX6lOBKy+Hx3IKXqDxmHinK3QEi3XKmaQWsc93FeJS3ZOL8MZAMdxqINk49C5uV4dDKLXp7GXycA0LnC7MTrPHLEZxGHlEtPHSxRmu5MrvLoK5csZQ/WpWARayCPmfMpOQT9zpx7u+JkiNJ+m44tTaYYvmqMU96JrBcknXIbD6+IksTTSxjsvRjkN3H8itTyy2cHhPyRZ4o6U8k4zL8vJsRx7BjR99LRWvbqte4XVdCjHpCMoxp8afEfZ6enpw8uait7MUBco6vltPaZUTK2w2sE2p4wFASS/jINU1banjdC6m+W60h0TbEfyp8D2Hg1OKnjrssXTL3/AMu2/bmcXx0TK+dqxbtjvLE4qv8AUTAA4SBo0FJ+yxmAfkF/1W5lr1HjFiOvzPgOYuWsTw2KvUyeNhoxMmhgrxXu0TdzhsIa+VtSqrfIsXUV3kuRthxe/wBtJ3hD2cU5ykcpPt6aExie1StX/F+LGS5kfsEOiMrQjNIiyZydX2rdKtOy/wAdplsXIpLmXnuSwVJ5Mg9R4xsta5LHjYoomWT/ANSx6xlJ9N0crSvBXUIsC6I/J1y2UpYahzfP/wDbuWCt+mQhDVYb+/FONPu2eIcTjiGMxLa7Ix1R+3sa5OpxEvx8LhfxEBGQw9cKlhmOk/i+sZxW1HidKDGAOq1+jYj0HqHyCPE4Nm0YiE1i+MQp2SjYJLlqZ0ZeXSsaF4LI41zO2KmBMBah4XpfyPFYLI8cgZkYcPB+FHeufjr1m7swE0tiw5H/AMD76Wk4eWpo2uqLF1RC6eHRouTneHP2nlFOT1Ezbq0B1FWTa6+BQMG+g7Y+mLM9WuIQItp8e3GrsTVIIlDYq41mStCdCxDI38D8qxBAakXKsg6Jf3RY6xPQi6RZyUhAfIo4QVWb1ZEOpDHBRx/5I453LjvI608fGsZDK+xcr0IpabbdTlluXASPjyl8/wAcyM6i6zWYajL2fe5SPke4DaAQaF1ARCP3paUnhSFPKd5RbtNamhPCmb44/n8nxTL+m/qXi/UTFaOg1fqE4tXdSS6TjK9ZLs11vD0qdZnNaGRymN5XTsX8zkK2Pohv5FH08lv5e1GxidUjLfgc1N7tQk2g7a7ra9feVZSxlqlLSkg1Hlv1VGA27vA+PsaMJjGQxhulr9j7FilcGDLZAMUlv8mxhqLev44X4i/ETKelI0RDK5pmOhzefyOWvkfs6xFGjZlkYDLtrNDr2UQdG79ZHdCU742Lm2YOTsSQeTH+3ptxallTWyP8UzH5qO3XkvVMdB6lc+l5Tb67HlEexQG0QtLS0tJzgSExAePsaR8Jx2uqc7w92wnFOKefH+yqQbdWr+I49IsT1HsFsbnyYyp+PFGAEyElOdGxS2XA4rDxZaPk2CkqzGOWjPJjWSMwbbLpbttzGW6ceQfZoWWS4jEvqrs2IZQWLMzISBVj0nODTXj2jsqOGaWbC8agZBa4jTx+X42K1aK9XtWLEJfGzm9iGTKX8nWZBmczj+zrcrYpp5bLjrRHnS+i0+XFErS0EdKVyeUfK0uu0GJo8PClB05pXAM9c41yqnZFuoNgHZP7L4yUYxs9tSBrT60c9bVq+mXGq0eKzvEsd/Kco4V/Jce4ThGYvD2MPNHarWT13tdxrYWgiAiGp5DW8yfHl+XxVw1tvTY8y/zxCo2S5wqrGxlfTYw73+lI8NblsiIWcg5K0ycUiktyUoBHD1XRNYgFeYevqFdkc6W4Y3dpJ4eiAkeWQShwhe0/DGVO9tWOTlWNqtl5pKVezORuGWBjjYquCZiZrB4Jj8wM3bzNMR5Xmc+Fo5nnfIc4weB/X0vtaWlrS0tIezvK0gFH9D6CIRRC2pfCdJpfLpPlRkReovJx0WzDH+obprzoOJKh2sZX7SwNk01rI2zZCCBmLhs8js4rE0aDZ8JFCzmjLsTaWEyedOH4nc+KxVfjpchBkJ5uLYmSxNFgII7GapVqUdq78SktteyfJRRKg38iS1G2va/lY2iTIy9cXlrNOxByvLKrkrl1uFzgimjyxngzedLK+dny2XtZPG3qUh04fKfhI2pV9ezkCi5F20JF8ie/xI8ouW0BtBnjWk0+XM2nQI1NhlMh3pNzXH8hwAc1CRq+RHyjpiu3K9SPm/qvts8LpJPSL8mzxyxi5b2U+Do3H1jVjLdosDk1z4l+aGivmcbM/wCUFGULKciw+Hh5v6qXc6Y4+pL+ovz+Mg75HcWlEM3Fcw1qx2aje2CwyVfbU94AymUbBHzjmUNGvhsxNyDK8Nr6iibpoC6oIK7sM9QQ2KvDzO/DLU5jj5Ba5bSjbkOXZGd783liHZC9KW2LQfYs27bw3wGronw+ZoFp7FiOQ5HCsp5nIQXbNya7M07XnaIWv/DSPvry5BMQKb9OCd4Tva2fMjkJV8i77RcdVtlYmLwxo1J4Urv2af2xGDyWYkjxbqakv0aMV/PyzLH4+zmLHDL0FLJsh83JWxQZeSu6HBzR4+vFnhct5lrrTeOthtT/AA1YxHtiyeMjyDuXfHTdicVdyxdgImysrNqskrsskV2xk0v2ng+M8X+SxZhNV9aT4Dbrclv158nyV73YLkGMkZygxZWjv4pZJAUSU4na8oo/6vOkPpPJXchF21ry1oKDUNLomQbQgTagK/CTKAWKsX8Nc4t61QOjpcw43cRzmLU/MOPVznfWHFUhyDmud5C/YQaCfSd3/wDq52UVopiP2n9evqXWs4TlX/d+bVUefc5sNNm7deP1XygKzcAVmcvRh2oRJA7G8ouUzxflM1tYC98ga7s2WdsYyucZCzm3O4KMXK+U289Y9OG/txFv+Ng/XQX9e14/4vUuz1pSAmQgrZR8rr40gCggh7aUzFJEjGg0poOgtefbQWvf6X2g1FaR9h9hEr7T05bVzwrC0R7AedKoNuxDP014n2pn6cxYLk2WwUU+Xv3ZHPkcg7a4dLXXFuN18en/ABzPyl0hs8f5gpPjMzcPj8a7Kh9KnVyliG/SjbLFZvC6p3yxx3bdezYp4WOZmarnH3crg7dE1xpGJspdA7v+O0vxdWTH2cplJoI6GXmhuNuVZIrEna62P41+beLXsDhJLpF5RdtMK6kgRIxlfjbRgLU+MhOaixfGU2NNC6+WReYq4KjrqOps/igIx9U4gL5v2bKmzdCL8ujZaQ60wA2WuLJtqGQL0ZyTZKf0G/6uTTpdlvacV6p2IrvIfg2m12pjeo34mkcpuzl+OV8BX46MGhxy18EnH811a3kTGszPL4YWcm9RdDN5O7lZZGaPpy8NfxGT/HGf18Lst+SsxZ+OP1Qyo+LoStItXVaRAWk1NQ9uyOipRtOaFpN9gggPOvb+9eNLqmghFf0fYIFbTSneR7Xq21Yh0ns17fSCoN2/FR6Y8BWvqc/vF/szwmkoKKEynCxRVHVs7Wlo2c9NXlfl4Huuyd6OLy9is2XkVCOHO5p1o4xmI1irUMzJIKsiyN+HeFw9fNzV4sHhobtnCzv9Qcli8bj6OQ/yVn9S7pJJahcFUnlgly8zpntaV/JTuq/H5rRuDHmJpsS/EJZtv+byw7UbfMbfHVNiQjRh2n1WlSVAnwaXxLroAJrAVDFtQV1HXTIE5jQ2VqmYnBSSFqdbLU7JlqOYUmV2orznqvMU2z1XplyuDE8tHVdk86T3L5dCTN4qJ3MfUKrBBlsg+eWJ20z667DovD6+yKgQphfhJ1NSV017676XKZ66sc3sluSy968Z4jq2wKwP24TfbBa4ZkGmOpaY9stpjBPl2NMWZiJky0Ij5NyCKOLmeZOSyA9te3Xa6ohBoX0gV2RcvkKkeu3n+x7D69j7dR7H2d7BH3C0EPd33aarddTQ+XN0XHyxixsR+XHR6jlbpWz4nd+0KYdpo8bQlcD+TOuMV8tI3LZevWbVysUz6FStLQu/F/IYSvXtZXm7Gm9jmXvkxmQNKtDZu2Fi+I2vwa0jcRcs8ticf5Ow+X1CvwWadMTObj7/AO0D+5+JssU9ZzHR1WW3fGIJRJ5J2qtjqvibK3KOZGx0hKb5UX1Co/KaPZrCvjTmgKRg6yxqVuk7ZTGKGNVoFCxMYEU5SsU7fEg0bBUz/M8iOwg5V5GAxWRqW2QLN+eOX0q/5BY6esebcVEWc9ZeJ4yO/wCr2fyMs/PM49rM5JPLLkj0fIXPgUQ2GBNZ4+Jq6N2xrV8bSnQDU0GlLB5kiKewhfSnAVxoVogHF3XU7nCOVRGHH8oY1mS5hDFHm/VapDNi/USOZTc+g+HlHODca5znu14AXxr4100iCi1dVpE6ReUXlF5TnbW/IQ9h9bX9b2h/4kL+kde39hb9ynqVrSrMZ62WKVBvmFoWKaDJRA+OcbF0aUnl0Z0mSeGzeO6rMdZsWsbLXUOZtQ0chXkKwtttafj8lm/FmaOKZF/IvjvUsJByC7W4Xi425Pipil4Zi4bFjIhtOpmpRHZ+aWWzScTM/jtaw/OtjqsbG6U0cU6pB88ELvihfE5v8dayLHGV30E79VC9xWU/aR7Ttg0ovqL6iTE0Jvs8JylCmb46lMYFA0KsP1iX9Jyd+wnVkgKy5TklOi2jG5fEUxhBhb4kaSLkJCe0Ewl4NSVwNezIQZHvVfbV8njv+1Y+YSE1N+n+BJP1MdpMmBXyp37KSJSxFSRlTxqx+quSHdp23fZxedtY19P1LtRRZfn2Qvh1iSV8NqZijt2CGO7JrCVHAShWKFZGBfjo1ka5X4h0apUsTmp+9PLgvkKD9kHztNKHlaWl/QQ92+Vr2KPhPKDltD3JX9HynlWN9LZKd9iM7iiKw0GzSh1HYCvqckO7+I5UJgvmWEnjFypgZL0eH9L7VmZnpOJKg9H6lYTUJMI3OiSOthbdJjOIWY3WclmcdjochyKI2aVoU7fK8i6zj7cEr3/D1VCn8YjpSHGW6VzJ3cVg4ca3L5KOq0zSSyV8lNCvzoLbLB61yzwQQtIARstt7uc3R7hQPUPkRtTRpNQW09yc7y5yk8rSYVB4VfWo1v2c7xI/QsSqy/sntLkKZe7+OKOPC/j0MfpQ1HKSqVbqEp9DzDQ2oMcQYKhCjpJtfQdEvi0ogWqF6hkCDlM8gWJtKOx+0dlRy7Qeidp7QU6MbsM2LseheOjLsu1o9F/W00EqFhKgicVBXJUNbaiqoVU6EbNdGuvxivw0ynsfgDU2P2rVHRlpOKfWe1FpamppW9Jn0vKK2uy7ew8e7lI5F4XzJhQXb2KJTW7Rcpt6sRkl9byyDzHEFhmea2hHbV/7n12LtObLpfNtfOQvT3HnL8lNBzp6VFkTOR8nixNr+XFxvKKF6V3LLU/UtIWAfYwkk+Z/k3VPkbJPcmvWszlPxXwYz8utFiO0kOKdBIyOKhjPir1Y8xyCOJfJ+RJ10OpKYw/HjHn4iAFJH4+B3WSQdJ3aU8mj8/mvOFVdtRDx18g6XcJ0mk56J2iE5OCYfMRVd6iPjflxTvqY7E/ZOjJTK2zFSbr8ZuvxWr8Nq/CYm00+nsT47aOM8sxwCjpNAFZrUGALqixfGNOi0mO0oJVG8FT/AFbJTZSHQzqGdMmQlBXYFeNytBV6ttuSqFTROa7Wz9ewbt0NfsqtMqtS7KKj1UFYaEbWpyOyWRr42ldAhGCmFjV0a9GsOs2P7KTFNU+G8X8Z8bevU70u/iN6GtFy2u4RcmuTSF4QITnBOkCkkCfP5+XzDJstII+lv20omFAbUrE6vsvgQroRaWIbpQN/x2WrJjzPsOe5bKDyuE8Lp5etwHE47D38dPXdeyOVr4PFxTZXk+ZwuAhxFblV/H1a2RirWn3+Kk2c5NZoWYbtknjuclnq3s1Rx78pPJfm4pya1SFSTEZBZLKZhl7I8nr1YcnyG1kS1zFHZgiLX9w4oTFOc8P1tFg+L8hrY3u/eyVcl0TKqcv7U5GlQPGmopzy1F5cgVv2enL6MTlXfpRPQTineQWdk+ttfjnbIdLqF1XxoRlCFCNfCvxwRJUCfFpFq6rS0PbSc1FqaeqieQnn9bLeykHUxyKKbaZNpRzJsiEgX+ysQbbepkrJUXNL2dSQmwkqCoSalAqCiq9YMXUJnhpCcPAZ5Ea6FMaAC3SDdqNi8BfqQIWOVirH0y0DWsn/APaSiUHEJsngyL5F3XyISBMnC+RfInTBOk8zTJ8iY4lQnzG7wD7bTW7VWHaZGpGDT4QnwL4l8XnFxqs0dLbQsmPNtORcU1/n08w19kUGUtUcvxbP0pr3qJy+TkdzgvH4OL4PkfN6uOUNV2WWSwLe2Rw7ooZsfXyDRxyuxSY+am29G6Z9aEtUNIsFu3VqzXOSZCytl5WlN4FWUPD1E3yWjs2t4tWfx1JaLiZRqzOVbl2g/ahf1NGfxXnGmWF8qdJtf0369nhOCI8xqMqJ6a9Hyg3a+NfGjCui6rqgEGIM2nHSEo7M/cfiFwnoOUlZ7EW6WvYa1paCLQuib4XbxOFJFtfCm/qWSaX5Wl+aore1HL2X2rVcEZCj2F2gWn4TutX2qtHxXgDBGAECdsaSgPH2tbQjQYmsWtr40GhN8LYWwmuCmkHXP2P0czsnt0SCnHSEiMqMqMpQmQmTZV86E6dOFJMpJCVslMdpQvUbvAPtrYhiJVWFMZ4LQ1dU5m10K6+ca1V/DbmtZQ/tZPmR3sx/R/AuWUL+PzMTgf5OxSXptXrzZHPc3kY2C8+5bwVW1NX5jJPHXrX8pbtN4uKkMn+NFhlGSx4dat5ipRbaydm28t89UG+2lK39YJ/xbA1M1rCEY+xDukWSeXzaZqZ/UzSAiw4dmb21V5upr2VHOUycoSbQPhi0v7KcnD9R4TXKKQhRv2mJrVoIhO8IN2vjK6JsaEfnrpT+Fv8AegNuqVA8RYYTK3x79b+EkYpYHxnSAPtpaXX3c0lOiT49LX7PfpSWdKS/pRZTSrZXZr3WOAkjkE9Xur2O7p+ODTUp+Yog1rGt01qDFGwrXsxvnrpNaiEEGrSPs1HStP03MSmSQxp8akaQnDaK7eTJ5MiEiD0JV8oXybXcrsnewUblE8aDhth2oWEqpW2mQBq+hI7z299ecc3xGdNuSt65R/my/wAv+/KP1g8pPib3GeP2+RY7knB7MTuH8Zsy1KfprDI6pwPD1jNXjp16OJpSQXcXiqh5RkrNVY/Jz3lLOyFvKLv4uNZZLlFI0prh7+EXJ37CWPusRMWrrpwHVSxfLDZrlr3M6i45TSEF23mKEkxVim1iFHG4FjiC0kpm9sOkw79tezmpw9mv8xv8wb3Gzw3wBtHaLSh4QC6poC35LvEq6/vRHV+JbG9UaMZEuJa5t3BByyHHAFdw0kJMb2HW1rXufpbWtqVqlaWqxI5imshWLLl+ZIFWyfUU81pUst2UV1sik6OUtdqji07qmNQGhECgEV1TRpfab7AIFdl2C3sArwrzurbp7TdNp0SkiUkWlIwqVpBd4JKagtE+30theEUV2THKKRRHZrR7VSmSq9YNAi8uJUiHuFj/APVv+l/6yhKsH9ne7iWr0gsTP4dyloMHCoIfif8Aq9p85d7/AJ4GgQ5P/bkv72KkEUVOyS+b1LmlYISekZKYToIon2H0VEes0J2w/wCtb/05D/22P9bn3P8A7MHmuAoWtTWtTGhEDsxNTUz6Q9nJ325D7i+633Eh7uX9N+vdymX91ViCd4slRNBZPGxX4o1k4Ylk42D/AMNI/R9v7f8AdlXVZKkPly2QYZH9qEkmqcj1GSUVoaTEFF9hFN9h9t+vf+ggh9/1fPif/wBgX9vAUgCkA1ME/wBh9/0Po/8Ai9BM+4PuuqLRqo1vVoCYF//EADERAAICAQMEAgICAQQCAgMAAAABAgMRBBIhBRATMSAiFEEyUQYVIzNhMEJicYGRof/aAAgBAwEBPwFwyKGDGEIkbiMu0ZG4lIkskokI8GckR9l6Nxoq4ToeS2rZPgjI3FdfkJaDdHgvpcPZk3CeSfoQheyUfhjvFZHHgwaC7Y8Hvn5aLSR1M9jOsf41bU99PolROMsM8WDTwTZWlEdnBasiWI9o++24ul8IyFZhC1AtQK/JC4jLKEIxkS5LO0RR3G2XZ9pI9R7Ls3x2Xs0OHLBPTvJPTRr9EIRkaeO0ydRj2YngbyIzyKXJu+WRSN3A2RnseTSajfAXPaMWz8a5jotXs6DXGVvJfTlbTqvTKottEqsSwRjjs3gm894ok8Ds5JMx3QxdovAps082ehMTFyWxG8EGUR3EoFkcd0S99kMl/Lv06D8hfYoov1MdnBpJZtHFRFLJdp/IuS/T+MlFm1mP/HjkjHgcRxKLZUvJp742xK65zlwdP6NvSlIfStOo8Eui12xLaJdNt+rP9arVPPs1/UJamfBOjLyR0yZZVKCGS7JkWTRNYFz2kL12fowJDIFOUMZnBCZJpomlkTNJNnuJcu69Df27o/fbGTSW+Fl+q83o3GlniwnqMpFdkSdqL0rCdW0lEwzHZD+OOyN/9EpG4cjTXTU0kdF0ErqlKRXRGuCSNpx6OqaJzW41OYT2s9PssRL07Ijg4+ySH2XB7LIm0wxxMPtgwxIaKoE5eNGWZ7J4M5RNHJppEXwThknXgwyKJrEu8R9scFccR5JcC5KItzGpJm9o8kn2kslkTaxxWCUEl2xkax8cNiUnLaR0NmCOgtl7J9OnFENBn2zTaBQtUsnRba1QkP1kyJZNdbVGj7M6i4SuzEfvungvimTyiU8CmReRcIlhj4MGO+DBgjDLKoYNW+B/CKZYsIbKHghLIsMtrHSzG0sjyeu0T2LgSzIlLjA8MUUjSY8nBqN2e0THafZoZjkjBMlA2sax3i1tNPtdolwYJx3LAqIIhiJ0TV8YZCWYIWMmYQluZ1vV1vgsl9u8sDmhvcWR4LfZuaK5G/gbGZMme0cGELBBxTITgaxvcPuvZEn9ok1grltKZZIsXLLFFIt5Y4zxnA2n29RyLtFcEjBk0CSZqUnEXIl2wTQzcS9GCLwcSGkh8j47J8CscXwaLWb/AKy+GCnU+A0fXFtUWQ6xpnE1fWKZV8F98rZ8kll98ZHBYOETawW++0FwL0NZGmhvBk3GSDE/qSmbiFrTLX5IigzxGwUez9E4Nka2QnGAtVWhauDJXJoo0Vup+36Foq1TiRqOkVxre18k4OD2sx9BEFljeByybjcdOg9xOEWiyKjMhFsa7SWSQx8j4MisaHLJkXsfvvGbhM0usU1hm5G6JPURj6Ivcsm5oVjRJuSK5cY+VtmJslPJLkawiE/0KWBNMmsEmRWUbTaKBnESXL7ZIzMJDeDJkyfolY8kpSFycGSMptpFMdlcIk5f7mETa4Z1WhQluJcQNLV5Y4JaF1QyTZh47YNClGvJKa2F882Mq1OOBNND4PZKJJcmcEllG1jWDJwemZ78kcxeUfk3p+z8m5+2aXNlmSPEfhY3CZCe/vk1Nk1LERwk+RxJEvQng3EZcnscMkYYQ4tGDJ7RJd0SkSyIbMiZOLYs/sijau1S+6NFSrXH/wCjU07b+C2puSidbnyomN2MmncYw+pK3MMMq6d5pZZb02qK9l1LomV82G+UY8DlY0WN7jlEbZEbkxNDZJ8j9kUOKJRMYPR7I0Tks4HW4+xQFWicUh4GaJfYXr4SjuZzFkbH+zyodmUSTlybSawTfJnt+jLKeTajGB7TabBx4LINd12fxgs+yyvPoiYfZNxR07q06okup7pZZb1KGNxq7pX2bhxzwafQ37M4J7oywzpknb9UWw2zeTqUoTgaKnc8s8UWW1pRLOJsfbc0VWvPJFposiemQaZlDRKI0maWP+6VwqUTWUwcOCMVEbSJyNps/so+rK5Jx7ZRO/8Ao3j5NrFW/YocDSRPBYT9/Grg3Ibz2ijahpKJc+TJkT7NMSNps4NpFYOCUYyNrSPTJNEG4x4IzzAtv+uEJ59mjhCViyYphWa/Fv2gjSa2WlsyX66h17/2Xz/KsNOlCJG6GcZLnwyzmQkND7RslEVm5DWRcG43C5NhRXLfwjySiXXbkQrc2TrkmRgKB4coX1Y3PHDPy7IMjfKwk+0WyC7zJIsLffwhHIo98Ij2foug5Ma2vvtGsds4NxuNxkyyGGSogyeliuTwCplBEoSTMM003jglqr1DLfBHXU/jbWXSjvyhyssWEUQUFll2ox6I3zUskdVKxckn9uzH3TwQ+xsyKklWbTRUb3yKqpfouoTiTr2WclMU5Go0lboyicfHIjLJGcmsGxtmx4HV9iEdvbKItEO8iRMuXeHJXWbe20wR7S9EuS2rB6YkZwSkORnPfaRibSMNvs0lNd0+Wa3T1RgmjjBPBiMok9Pn0LFUCVk3DkrpssZsiv5G9L+JK2Y+ffasmuez9D7M9FUiEhSJSNxodjjwShLcZ/TNVTGcsojLZMt1n0wajM2aeLj7NHFcyMQMRLKoyJ1yiS3my0UpxK9Q0VXqRwyfokSWSxYP0JZZXWQW0l8c4JSHIfJZET/R4cjpHSKGBx5I1kazxm0b+20qqsj6LZz4UmeBKGYeyUvsOzaiOoU5bSyv1kdT3E57OEOUpSNvw3Cnnj4vt6K5G4lI3Gj1nheCvUxn/wCxfqFCPB+W5Em5vghp4yj9j8Oln4eH9TTRcMxfd+iy3HBp6PJLcOqMfZrKFB5iZI2SiynVSzhjkpLgkNZLYijkjXgisG43fHOCXPdx3Hj+wmpH1SJMayRiRj2nOMSy97voaCFmouzI8W01VayaGMp5U/RZp07Wo+izT1Rr+xRXpPY/FJYNQsfxJxt9m+aN8jyM+khKO08e7k9SP13l2/faLwhTJS7wtlElfKSIyNHHcs90fs0GhjrnIt6bfVRua9l+htohF7eWarSami/bKPsqXiibsmopVleRrDx23yiyrVbfYtQpCeSayRjwZ28nmR5keYV26Q+36H6P13/faN+BX5E9zIxIxPRKaXsuT1EsQKdJXVHOCqcYTykSnH+RrJy35S9i3qG1MpUIP7k6tPJPJ+JTn6kq3VLBKvd7LqZJZTNspGy08czRaHy/Zn42m/o/F02B6GjGUXxlTPA3gymYbJLHwXsl23I3mSMpZNFGShz3RS4K1b1lGj0em08VbX6Nldvv9EoK3Cxyjq8tS9Ztuf27y5i0TypDbyfY5NzRXamSsQ7iU5SMm43FMecmYnlSHcebkU00P4ZwKZXNlbyZWC3UxqLb7LpcGi0zrjnvbqFXHkt6jiLRpXKdanITG+DnJdHyYHVLBZX9S2WyWENtkYuTKI+OpIz36hDNWUVQd0tpToIxXJ4Kp/XBrNM9Pb8KYbpEtOeCcnhFfS6sfZmo6bsjmJtaeDQUbp5fZje2OT8yKNF1KVeoWyGclH/ApNYFuXCPHY7ODqdGkhfJuWZf18NXWlY8DjwQwkOUUSmmZ/oRwcD7KvI/9tErDyM3M3ELOTdu+Dg2KqRCEkeaFS5LNdu+qMTm8s0cd1+P0Lhd9Tpvyq+CcXTLZIp/4Uj997rvDhn5ikh5sPwoyfI+m6d+z/TaF/ExhfDVQc68I02m8HI0u12nhqI7Wamiemt2vsvZS2plS8jI1Rg8o/eRGtq8d+79GhilX3f8WNy3vgqhcpJx4Zour6qCULpZKtdQ6/Jng6rrp01eSqXsnJ2Tcpe+92phSuSy5TnuHY2cswxpIWEZJPg2fXceyMGyuOC8l3YvZD12z2jURpI1FmmjIsoVY3uOnaS1PySLPpDBgS5JPHo6hVdZNzwad7qV8NXzWaSLfsSx34LHmXxz2YuGdUsi5Y7c/opobjk0a8c+e2O2roV9WDSxlCtJ/CNcI/oWF2890aPGmV6idi2SfbJk6jRj7ERoRJ4MfD7EIZEkjcWrJJGO8VyLhDmxWYFNEWbjeezULc8FWm5yQliKSHlvL7L+PZxU63FlH0+hz2aJx38EK/GsfDI8JbjLaHCSlhkU5cfslFweGMXa2SqjlmonK23c+1Ne+RCKhAsUs8EW3HPflHCfJxn558WpE9yz3u/4Hkwkxj9nLGsHAhZyRjli47zWSccdsGCPs3cEuRibMmTJXJuWIrJ0vpVOq1Gy3g0v+O6Ghv65Nf011p7EbXz2Twu8ouX8SGZoVNvj344HVJJP9FazySzn43uX/wCDSdMnqaI21vJZ0mm6CkvZouhaWhKTWXg6h0LUUQlqG1tE93bKismrtvsn64LOF20Mf2yDUpG1fDS6KWsWYv0WdC/2Y7fZrOjwrpdiXKJQnDDccZOfjrn/AL/BpdXj6yPfrt1C9w+qMiZwZ5Prgkku0F3z2xuLeDPdD47JcjFIybjonR9RPbqY/wD6KqaNvllDDJVqf8S3S1eGWTWUTqm8ox8KdNJzjx7NP0rTw0+1LKYul010ePHs1HSIXafxpGq0C0Nmwmufjo4V2XqE/R0rp2k0MXHOUxRq2bGVzxJbVwazSabWT22nVOkQ01rdcuP++2cEoxl7Rbo6pouplRLaymaVZpov2zHdcz2nRNItLUp+8kq4qWRwh+zqOm8lDUEWVzqliXdsRrebxtIp1ltR/qdJbPzSyeMfHAsnoyxvJGIlj4Lk/iXS5ORdkPntEfZMri5vg6FppvSxscvQ7HGfP8SDhu8aL9sJ5/o6vrPPqWkZXZrg01MtQ9sPZ0zSW16TFqRtUaltErF9mx+Scso/ySu+u1SNzxz8dFVK3UJJGlrqhXybrN31XBVusnk1DUdqS9/s69ptHlzdv2/oTyu+DqajKvL9ik4s08651LHw0KpepXlNLbQ6dkPSOGskWt2WX/8AH/0dQrhXqmovPdo/RrFJXkhKTMJfocl+jJgzgfZclaOMHHbBFEi5/Y9sx2Xb33Rg00Eq8nQVoJWYjJ7v/wCFezbhsog4yy/Z1NSVEmWwXL/ZjtPhIo8asW/1/wBHTfx6KtkM4MNRjmPBKKUnlE9sopR4OpUK3Ty3c8Fianh/HQdRnopYSOkdS/OnsY4zjbjcVWbcr9ll8qafLY/R13UaPVyjdp/f7HnI+27B1WLco4J8FdkqXmLKdde3hFbm4fft7Og6/wDGTlYyFvmr3/ol9cl+t08YtSkXyctRJv4TltRdOVtrFWv2eRQ9DlntyZ7rkjAUcfBciwiRd/IXsyhiGRGjHbPBop5W1n+Owpc21HkhCv0y36zzFnW9S69I93JKT2c9kTaZH68nRNX59PjPJKUtiTJ5cTxR2ZyThxz+jrWpplrdsD2vjpdRPSXq2LJ/5Be7so0HW6bI4u4OodV1ddTUEnXIw3LtlPt65NVd5bC2JjPB0/TqKzL4KTTWD/XL/Eor9M1P+Q230zgl7LNQrdLGuX8l+znJlDEi6SUWWSSMscTabWciyxVz/ojprJfojTt9kYowh4MIwhLtNou9/FsXdEVllVEo/ZFOqu00ozgynrFyqi1HMmXa3wU+S5Gu6rptZRiBZ8ei62rR3Ny/ZXZ5IrH7HdCENr9ktRCEd0/R1LrFi1tjpfBOx3vMv/Am0W3WWQjD9Lsnya/y04lBn+p34LNZfYsNlb2s8XljwVaZq5ZEo7f/AAbsE4T3ZRlpck9QkvZbc3+ziRtNoo59EdI5R5J6OSkU6WKQtPWjZFItxGQpRG0++TcZLCz44yza+6iKDZVJw9nNryV6q6FkZbvRb1m+6qdf9kHtfI5uXxjJJ8lPUdVTNNTI9a1dWqdnst6hqbpOW73+uy+M3thkh/H4Ptr4Z0zZjIosUJZNBOMI8l7Se5FGpVvHzffV6mWcG6bHkU3Erux7Ko7yuiETaSrILHbXaiVUcIlZZLlm+aIXteyNil8ZE+7YiqDlIdDiifs/QqyMMG3gisfCMjUTnGS2+hvJt7+uR9spEXFrgpmvTJ4zx2tthTHLLtdOU/8A4mmn5KEx/HVvGnZGXBuYnLJRLgjZGXAo+OeUfkT/AKN093IvXxYllmol/vMb+Ggs2yI/G6qNi5LOnv8A9SVcoPEjH9Ed2SEty+Eiw29tmWRqzIoioMsipI1EdpnBGJtNxwx6iv0ce13X2+ptH67IScngec8jeBvgWssptZTq1assd8INGeMo6ltnJIkdMtzDb31eq/Ha2lV8bI7sl3VcScYIu1ll3DOEIwR8npGmpj48yLa3/wCpVOTltYo5nn4aqWyls0l/krSG8E764Iu3Ts3GJmJDXaqeyRpb/J8WsiiXaeFsOS2nxzwJr0VuOSC8kiGmckTqlX28G6eCPTpv9l2icBVKPsTSFLkg8mpqyySxMWBywb8kUpcGopl+iGplU8SKtRVNEWRibOMku2Yw+zG/2u9n8GWfyIPx1GnbnasnUNQqaFXB8jnNvlko7olTthPKK9biPJLqCLrZWSyRnNDMZNmSNZ4/7NDCGDC7SqzyZ+3w1CU1grh43wWTlNYPC8FkXBZI2/o3o3RZiBtizTz8UyOqrK76JeyuGnsXEiyhQ9Mz/Y+2qr5yeJSZGpqRVhWYI2QUcIve4lBtZRpo7pFkZI4lHBL32Xsq9k4bkairax2jsyRlyQkZyjWVpG5w9ENVNGj6hCXEy/WU1UrB+VpmWazSx/i+R6vy2rd6LtZNS/2/RDV6hlc3KJqJRjQxR4yzdl4IZqqySbm9z9kYka1sGkkWSwZXZxyKtirih7Ym8lZI6ffteGfrPeyPOSHrtZLah2bpZIj5MMtr3RLKnW+2e2WiuWbeTonRdHrac2Is/wAN6fZ/Fln+E+PLqmavoPUNJzKRL8it8n5Ni9o/M/6LrvL+immVky5KCwTSXKIP65yRv+3JO2TWImlv8Ni3E5afU1Zzgm41ok8syZRU/sZ5L6VIzkRHApEXwW0wtjyX6WdciUcy4MvfyfkSfDIy3iFLCK6vyINGkjthtIxysGrWJYL7F/FE39cIszjajlFYp4ROZOQlkUDhMlY0bmcyFWyOnbIUOLyVWZWGf/XaqiWpeyJHouvrjmaKem6u54SOr6G3Qwi5P2JpeiEhNDYuS+jyFlUovBta7w4eT/DdRvqwcEl9Trfplj5JKL9lstMvZ5afSZpr6WmmyylznuyKEsHj2+x0Qiz6x9Fqc58E8wxyb90eR89sclSSMn8hREhLgRWbkTlCSwW6SMuYk68Pk2yiV4Q/YnxyRsfjeDS3qp8lmrX/AKmo1NkpGcvJV97ORyeSWckXg8hZbkzJkYyYuIjfPZIjEhHBhYNrFkg7P2ZOgaei2W9+zblYTF/twwvZ1fQV6in1uLNBZC1rItM4nikOMkJ4PaJUqSLNHJ+iemsgYkiOUf4U4usUy/UqqDbOqa9W5wX62uqXJb1LdwiU5TfJ6Fy+DSLfwRxGeGamSl/EVsox5FLcs9nyZ7pIUsHkIzb7e+yR5MIdw7TyOT4ZKS3YI8lmks/nEcZS5RsSWB43YKtkU0yyb3DWZGNvBp4spplMsommfw9mEKBtR6PY1yLkhEUBEeSEIpGF2qVbniZ0uOi8eafR4/JLnhEpVbNqXJ1LUw08dje3JqqoQteHk9dmiyWJFTz2SHGL9k9PWx6OLOh2/hMr6rVt5Z1LqsbI4Rfd7kzU3eWQlEzFeyMuBzf6Om8VvJdnBpdPKU8s1UYbeBcLHbJkz2TJMQpYMZMCRnaiywlJntE3hYRFLPsrjL+iu/Y9sjxwlHdH0SoskmyumbeWYaZKE2xpVs2uciuO0r2xgahJwJ4NjxkW5GDA85MZIxwQiIciLKpbl2weyvqEtHTGNXBpuowuiqn7xkt6zp6tI5184Os6yOt22KWf+jCS76qzZAUpSZTxEiY7PkWWKTR5pk5tmvs4wOf/AELLNsv6IwmiNLZQ1GODUPfX7wU6qMIbS2/K757ofZdoLKI1njLnhE3lmCFcnybP7NDo/NPc1wamFUF9SFKtZPTW6etf0Rsdj8cUX6O2uOUKquNO9sscI+iThKWSLIWxYrYtGovT4ILNg4KSweFodeDA1yRgRjgZnA2RZDUKqRDUVzWcnkh/ZZqq6/4ktRZbJGh119T355xgV81Bx/sSwjOR6mEHhk9bHH1LbJWkOCFhVbBrHdySIvu/Rqnycf0YRhdssjITySx2ybvi+T0JiZp5rHIsD4RqHgayzB5pw4QvuaLU+OHjLbMmmbi+DVa6coYkaDUR8pq9fX49pZGF9KjE1Gm2RLFsZnDyjiUcoUmYyyEXuIk5YJzybje8kJ5FJDeSTM9pxRCEkxRsZ4TZg08vr33pF0szMjFIyRm4yyV6r68ktXn0Qs3EWZ7ORqJKUuDJkz8ExvJntj4pkn2RXNplMmyT4NS+RYyOPBKLEpforypCtl5MMqsjVyavUfkyxEjTKC+ppqpf+xXXDZjBr6WocD5RKt4yaee2xKRYsS47UxeeSTwWSZKTMs5IywRkOeDc2R9m5DIISRwRSYuHwTm16J2yRK9knkbFz3xk5iLLKlhCYnknZJF1zfA2hyRuRuRuQuyXBgawZ+WB9kQayVySLLVktnmQj2hwbIadt4Ken6amvM+R6bS+0jWQaswiNnjmiM6Ws5Iaj/c5I3qMUX2Rl7ZxU2SmyM1k1NkNqwRbZAabLU0PujcbhCwKWGKSJXYPyT8krtZK7aS1hLUORv5PIKWTJ+uyZKRCRU1t7RL7FFF1+Xg3m9m9o8g7CNzRG5NEXlCJJmPiojQ+2cGcMhYSnlj5ZXEjE2mhhV+P9kalxS4K6ZS5Oo6LGi8kXyToclyVRnGWck5OT4K9XKuO1ktTLLN7k+R8oxyZ3cEI4IkI5LoInD44M4ExtYHPA5vtGJW0WLMSVbyYXdPBuE89vZKDHJxKbiE0yzU7DUXymyXbOBv4RkVPggOOTYzabTYhQ5EuCSHEwTlhdo9v2VCXHbS371sKq5N5n6LZv1EvslOrYfjzjDI+GWLaSTMMxkhEsWCuOZEnhlcdwvrEsaLEhxGIXf0Z7bSK7RK+TwKSLdHj0Sg4cdmyMjfgh9iFYtOmizSHjlCZC9xLZylLs+zGsmMd48sisQIyIy7YNpt7JZHEksE5YLJZI+uzF/IrF20f/KRJ+ifon/xk/wCZMkMXa0p/5WS/kVfwJEu0u0e8h913iVeyrtqPYxD7Vein2R7XfyJEheyY+zH3qI+u1ZH4xJeiZaP2f//EADkRAAICAgEDAwMDAQcCBgMAAAECAAMEERIFITEQE0EGIlEUIDJhBxUjM0JxkYGxJDRScqHBFkTR/9oACAECAQE/AeUrTZjLqJ4lsXx6NFaI0ZvRTqL3jCVtD2G4/wB1up/FRCVUSxFNOzFvYbWVZXGfqEaU1nJP2zP6VaU3LKHR/ugWcYo1CuhuH1YajNFaNFnKeYg3CNCD+U6Hl/bwnx+76iy2xsBmE6f1MZX2t5lgZD90A7zCxfeMx8Wug7nLvMmrmYKeIhGok5QWdpmtFit9s1uUwHUDz3SIMg/MW+A7g2IjkTnsQGWeitG+70RofQd2igqJ3IieJZ/GVnlbD3nAcpwW0cSZlYn6ezv4gTfcCPXcF3Ogd6dmW1BlnX8cI4YQMN95tTNgRmOoWeKWgJhPaH1VZxh7RTozex6Y1px7OQmDlLk0+pKDzDmUCsjlEyaLf4mfXmZdXg8F8TD6xZi5AnTMsdXxh2lHTNjcxcf2PVo0PmDxHfQhv4x7gfTcErg9N6m9xSdyhm33ntxlM5agbvHhJixF5T2Z7Z9ahtoRoTcAIMuYGvtMdTz3FEPY7mGgsfZnWKDaV0IqUVUcePeMiMniYlv6XtKb2yBM3pP6mv7pm4FmPYZ3EDiF5uKRNiGNFB9R4nHcCTjCs8CdPzWxm/pKclL02JdkCissfifUH1makIpPeL9UdV77PmYn1lnYzbMws7F+qMI1uI/0DnDPG/4zoXQ6enY4TU/SgL2jrajainZhj+I0+YJaNy4lWjWxH36JuVzeoTD6L5lPbzOUbvCIPMPiP2itMciIgMtTXj0MxrAG7xjszyZrYmRtF1MZ5yg7mUn25fdzhfbdoGAWWOpM6VamgDMiyn25nqt7zJwhrYjqVaDUPjtBygjGdvXYgM3ARA3ab3PMXtK896PE6z9U2qjIJZW9jF/zEBB7wKrdp9LdabBzBS3zMFhZSGhA3BG+7zLMf5WGMdxpr0ZNiZNMaoxK2igyuCAkzU4wCVp3jngIR6ETgBNfbLFM8THaUncsq5CW0hYwMAPOKe0KgxexmUZjDULbERYE3LPtlQ2dx1LDQgQg95Xe1XiNmXN8zlvzLByWW4/eWYrjxPaYeYewnOMwgEHeATjBpY9g3KmLnQlfS8vjsCL0fLczJ6ZkY3cynBe7wZf0S00HTT6hwsvEv202dd4r/dNK/cTo+Hk5mWhqG9TooZcIB/P7ADqZCAHtGBEd9T3IhBjlEEyb65yVoEHHcLaaVwQLB6LXuU0gTL0IxgE4xooly9p8zHbvKSYstWWVwrKX5DRgJELalrczKz21NaieJyAEtbmZWoEr47mR2ab3PM4GcSBLK9xVX5llC7mXXxm5YxEqsJ8xWETRh7SwtG5bn09w/V/fOw8emTSMhOJlPS6qV3sw1KU4z616PyHNT4lgKnRnECVJt59E9GehvclKaTXrvQj3prQh7x/EuP3QvFuIEyMg8ZbczNKn1DaQJz20rMUiKw1B3gAiECI6/EzQ29wjZipqEdpsmKJb3EccTKPMxyDANQhWligRxEVlbct1rcXuJdoNKQfSuZFgrEoU/wAooiKsy07bE3ETtAuh6Oo1G7GIeXedRr7doUYNGr5T2iIu5WZ5hGxPZWUg0tyE6b1BLl4v6nuYROodOTLGiJ1T6GcszVzI+kupqdATpn0jmrlIXHiYGHXj1dhqDx6nxqWVADc2JaRqXHvGijcspLT9IeUbG4x2IOpWDvcr8+iN3iH7ZucoLSpjWe4O8VZxEYdpxGpqMJapMWmyUKyz3BHcce0PIpuU4j3LuDp6e0AZd05K6pahqYiMwazvNnfaJ+JY3txich9SvSDUUyip7m0Iem1+z90vqFd5USpO0+I3mHxL07blNmpYoYS/Gmvu1OIgr1FHGbm+/p8Si01tuYPUEsHFjAVPiFgI+XWp0Iq7Xc9tSO8bCpb4nsVrrtE4kfsO440ke3TmWWdo43GSA8YrdpWBuZVXbtLajzlVPaKpDTUHYxD2nKM0MVprjHec9zcJldfKe3V+I7agu3OUVoHP8ZQOKj8TH6h+qy2RPAlzcp1Nfu5CHXux7HDDUa046hmlmQbz2mMuh6KTOm/4ctuQ1GZA5XEiV2FIHVhGHeGXD7Z3DQaZY6qe0yMTXcQ/bNzYm4vf1DAQWlW2sXqOUg8x+oZTjRM6PX+oyORM8DQ9RK7TXbqD7u/r3mVk2BuImt+YVjCPDO8RyID7iyzG2dyurQjVzxPJg7Cc4e8Jit3jP2jb3O82YX1FyWWJcLFmlMNIntvG5iLaVcbnVep/pOh22p51PoxmGEzufuPeV5ampnYzNzFtHaNvnsS3IvSzv4n963MNamHbaRyIjdQqwrdOe5iWrYnNO8Www5tqeJ+ryLB3hfvNgrFbj4i3/mb5Rl7S/avKDyi4249C8dTMxAD2lmwdTcUEiIjTUt+wTkxikwHtNz6dHn9h7DcA2xMrvNc/WIYcpZZklh2ntFjucNSwdo51D3jCam5S0KgwKBGUGGsT2tGCvayxeM2YxgbRm539CwELb9K2VPmLereJoma7Q8SZZSGmQjnHaryDMbIvwc5mrHbxLeovcQoEB7TuGlyNfXxCy6tqeyjvDkWY45OdSzqFOVkFnGxqfTtr2Y5+PxKx+YKlMKKqxz90XxGEBiWFItquupkL90xzppW3aMZavKZeFybYj0NTKbD7neK9ZSXMvxLCziMOMSb7QbZhOjj2TucgwGvQnjLLeSw2ahfc47iVd9wJ2jLLI8s8+nkzU0JX2nKct+ihZwWcRrtMntNwma7xjqGyNfqPkT357xnuMZWzq0xMjX8pY5fxCeMN5mVlsjASyqzlyX5leMd7aOnGf/sL+Iwxkplx9+/3Ndo3TQRyJl2H090Cce8xMZcerSxTEZZYw4w+YoOow9dkeJc4IlRAaK/2znuNFAl2Mr/Eux1raPYaxDZygIlle13GYgQ22E6mBSWI3KqgqiWvaifbD1rLpt0xmFn25R7xnMDbirFSKuvR48eWefQD01B2nKKDAO0UQLCNTIXvLO03v0bIMa12n3xai0FHaLRFpi0iKsqaMtajvGvxfJ/Mox26jnNr+MzaWxwBONgG4d/MuajgEftNZDt7YbtGe1qfYC9px416MTGR7dxlFKxn5eIjvXBaXnGDtHPeEerDc1ppV3WcY0WUJyfRmVi1tfozJwcdqdDzLafaciYoVn0Y+Gnt7hx6PE/u6tjsTHwj/piUusaolJ1DGIu8TAr4Vbm4oERli+rRo47Swab1A3FqjVRa4q69BNxm7S07lydoBqN2i4pEGPBjiChRDXqKs4xa4tcRFVdmCsZWaODTqta06AE6atVGOD8zrhIVN/mVcWqG5l0LXXygLZhLH4mGujuJUWE4qnmGwD+MdnacfthWIdGDxN6lneDx6MdTjLFmL39GKz3VWVWqybEtTLyM7TdhMzpeTWvKp4lD2b5+Yoau3tDkO1Oold3KY6b7THpRK+01O3zOp4QsTkILWpXUszCsTMdpTkPEyjuV5CsJsGNHjDctWce84ytIo4xlirxjTUCzUsOhGaMdxvMbxP02ocaLR3ntajVRaYuPPZ4zjMzPrxG4v8zI+x90GXC13Clu0x3rvZVZuwnVm9yoD8GU55rrA1LxZn6A7RcWuinhxlCoTrUvsFY7R7GYyvxB3bUs/lqWt37RBsxDoxmg+46g/nD59TKuwnufbLLI1kxspqnjZacg0ys/aQtttyjEWwynpFGttP7sxviHENY+2U/5evV/4GX26uYT/NlFSr/KMvBvRGZTKMhvmC0MO0c7mty1YV2YlcUanL1b0B32hGpcY7QfcZw2I1W4GVp9uo3ab7zhsxa5qWFYbi7aWZ1eUx+6Lj86uJ8zJrPLc6Zh+9jliNTJaywgS2lgNAzEqvVIyWkfdLbrUbQhvtJ+4z3IMpliG1jyJntnn5nCpZWyFtQ1aMK9pxjjidwDa7mu8YaaGa+2b1GaNGsnuznubO50nHb+Z/YSFHefUPXbehBH481P/Mwfq7o+deaUfwu9n+vxE+oce2/Jq2AKvn89pgpV1hmbHba/Mxuh0U/5neJi4yr4mTh0tVynib7wNKLuM9/c3uEbnDvNgCe8gnPlFae5937C+hL7Iz7MDTn2nuSrOMTN3BbyiLvvFX0ewLDyyLNJKcTGp/3j49Nq9xMjpOQcjaHtMrGtqyQoEx8HLsBRW+2UdNxVrCsoh6JgluW4MGpF0ksr/wBJgxK27NMjp1SjYntIJ7XIz2GbxMDo/ufe5n6DF/EHT8QNsCWYtTD7ZkI9banKWaIlWysC9of5R9bgPaFS0atowae3OEC95TUX+0TEUpQAf2Z/ujFY1vwYfM+oOr9WyLeWRfz1sD+kSxhvuZhZ9teX/iHYn0bX0w9LDYKaB/P59b+9Zl1jgmLYxMDNFJ3AdRbRDcohyTvQEZ7HMFZJiDUJE5jnFtE9wCHIEe/Yltu4NkwLOM4wM24txEovlDbEPEDzLsla5blPY3adOoamv3D5n9fTNy1x0/rGzQR38zpycKef59PiN4mSqAxSA8yWU0ncZRz7RQZUSzaEROFfH08enUk+zcSh7joSnp61r3n6alu2pl1e23aKPzG8wSrzDRufpy7dhE6TTw7zI6Ua12sFDbnTMUD7yPXeu8HVK+XGfUH6XO6cwt2AO/Y6mWq+63BfshVtADuYEPva8T6Uy+qZGBWOKhB8/wDq9fKzOpP6kgSukqe85IIXHxOTmcLGgoPzFpAjLAveEqIzFvEsBWK8ZzqMTCWhBij0AmhFVjBQzSnHfcS/2F7y/NZ/4x7ifM6XWb7dw+PXN6f+rXkIcXi+nlahagvpuHxOtW/pmU/mNk61ozFoN6/dP7rqPmf3TjD5n911q3Ks/tzKzamhMbH9hf6zU8S/G98S6lqDozW+8VYNK0xh7hldSp6f0mRSEumOvCoD1s/yzPaOyQIuMuXjmuxdgzq/0BhHGazE7dj9v9Zl4GVh2+zbWVPxPpDoWP1DqYovr59tnyNTHx6sasV1jQHj03MjJSpI7s9nKMGJgqJMWjUSv8ztGcQvvsIQB5llgHiH75TWBMkRdQ+hIEJEB9AZuV4sXEEWjUsxlsEyTXiLqfdcdzpGFZTV7jRtcZuDvHPbtM1GFuz4lbckHqfxPqOs2Yw18To2DfkefESsUpxHpoT7RN+u/wBvfc6ow56EHiLsw4zETCX2j3mz65NJsIIiAhe/qe8SqtPiECcVJ7zM6JgZd4vZPuXxMPCx6F5ovf01NTOx2DchDstBUTEr0Z2jMI1pMUMTDxSW3AwIzncRdQS87hOmnYiERxs+it3g7j0ErfQnuwWT7ivaZ+PbfZuY2C2xsxeSoJvZ36A6m46C0EGYxao+208Tt6XVpav3+JjpXXX/AIXj03N+jFV1PHmJbXZXzU7/ANpbatVZsY/aPJmNk05dIsqOwfmD1ttWldmX2G67cAlK8jEUBY6ty+2Dv69/ieT2gbtPH7NelLlLin7MgE1Thxg3HbgNw3QkkxKh8wlVltm4F5NANQePS5I/ZoLBN7EYR4N7i9hNenKczFeLkij7n8T6u6nldMwxk4eip+ZmfWXXMlvbHZh+J9OfVWJ1GlKS3+IB3gLGDvN+mpkjinMeZRlV5GgD3/HzD1DGXK/TM2n1vUXNxbLzVW+2HkfMZA68TErStdL+3KLK4mf9ZN0zMsx8yo6H8SCPB/Mp+vn6KooxG5qGJP8AtM76z6j1S4q7f4b+FH/9n039bY+Z7eEadN47eO0G9ejHXeZb2O33eIvbzOUxSFlbBjBoQDXoPOp1r6ixegujZA+1vmJ/aFbX1IAn/CJ3/XU6J9Y25mf+n56r5H7j/WUZuLlOwqYHXb9utzJJF3aY+UD9rT49Mu4g6EaxfEa3UYu8RB8xkQCGwrHsJgPIxRqbm4Jx5TIpXlPbAMHYRpZFrnGCFe05TluL37CdS630+53w7T9ngsPgzPzLK/8AAFnKtT2htLXCyrsZiKtbtZ7xVp0DquNlYie2/P7dHf5i79fiZfVMdRfVTYPcQbIh691PK6oM0ORx7faPidQ691LKy2yvcPufBH4/rOj/AFT1o9aF9Z+5tcv66n0v1vI64ltrpxAPb036dvT6kvzMXpL2438lG51zqNnU8hbcnW9a+3/7ipRxKMNShdsEUdp07qOZ03MBrbRnSvqfqGRQnuUl3J19vjX9YDyG/QqG8iX9OpfZEtqeg6aUt2mMo1v9ljiutn86n1l1jI6pnih07KTM1Uqu0yAH41K0579zfb8T6Z6pjYfUVN5bhv8AMwsunMoD0j7fj9g7TJG7Nw+ZRlFRow51Il1nI7hUs0WsRVURgIX0Ja0A5wV6gOpuA7iweNy77jO0IjjUI3FE4wJAsB3BMbHe9hqfWP8A4O90xqV+7+Xb/wCdxiEXQH2n/v8A0g/TJ9tfmBAMoBV5T6G6DZh45ybRxL/EA1O3pnZ9fTcY5FgJ0fgT6rzlyerPZikgEd/j/mKVx8b/AMM5Bbsfx/0mN+rq/wAXY34jG4W/4Tf8T+zPIoXpbUs337m/2/UuYuP0m8g99R7Ve/naNERLrrLAyV/bFYjbKNTPettMV7n5n9nmdmVYftJWeBP8vxB51+zrHDgCfMpJ3KSpqGv2fUleXb0a0Y3851ZMwOLcr5+PmXIq3Ajx2juFtJDSw2fp0sVg+vPbwJ9MZl+Z0it7EC9u2pr9mR2aNYoMNsUk/E08A16FhOcYywcpj09twqIRDFizel1G9DGmtwCD0UiAQDZmKqpjdh3n1ceq1Yj8lTgfn5lBpVGVz2+Ile2B+Z0tjj9SS3x3nT8l761Jm9+ud7pob2+7a7bnUxk5PVHycursOzEeDLLKVf8Aw1+w+P6THXJbuq9/z8xBYLwK07gzpV2bj9YS4HSlhuU3LbXyg7zXpufUf0njdeXmGKWD53OvfR9vSeLE8t/yP9YBeLvtfSnwP6yu1QjBhxYf8THx+odQyEq13P8AxPozA6n0mh8XIXQ7Gb2fX5nVif1OpUyyu2xfEqzbHbUUuU7zU1PrnoB6lbWMZPuHmOvUK8lkPkD8b/pP8n7a/uJ/I/7TA6Z1Sx1K1dm7HU6ZSuP0+pFGtD9ltnCrlMjLNjmcmMrXcCa9SYTO85RamYzQA7Rj2m/QCAGMdRu/o0O9zjr0B9NwenT7lNfE+Z9dZS8PYus7fjX/ANxqU3s9lmqBkgE6E6Bj3ZucmOo392+/4nT8f2KgIvpqEf8AzPqvFu6Pnle4rf5gpV7ONeyD3EqeusDkdbgqAc9/P5mMmTh2+4D8/mfRmQ+PilconbnY34/6RG2O0Bh9eq4FfU8F8ewf7f7xP7PMN8Pha55nzqdd+gnV+WMOQ7f9J9P/AE10ps1q6bCL0IJEBG9/PrqEhe5nUskPkmK2otm/t+Zh44Svkf2XUV3VMjL2P9Yn9nWOt7WG3zudN/s9xcLPXJZuWgex8b+Ji9JbD6o99TAVuB2/B+dQH7e8BB9PM6lb7dPH5gqLGDHgQrObTlCTCd+IFsbwJ+mvPfUSrR7xfQjc1As0PSyH0M0dw+PQQntNwiIvIyjFdSGE6lg4vUqvauQNuXfTuILXBu4oh8/G/wAf7zG6PXnZVlFNgsf4/wB59MfTPU8PMD5jABV7a+YK+Pq6ltagJLT6x6bn9TwxXigednf4j9Ry67AhH8SRKwKSznuN/wDeJ061ruC6JPcToH0n09ulV/qKvv8AJ3+YMOj2xWPAi0FDyX4g8ft7TgJR0/Fx8pr0H3N5mhAJk86zuDKbUstsaZacTuIOY7TFHLLAMX7Rr9+tzXzMv36m5pBn5CjvLM6/UDFjuwxfbmp7YiU7hwuQlmE/LUxsFFHeCilficKz21MjglxG4HX8zY9CRubm/Roy+h9GMBmjG7QEzjKl7ys2KJUPt38zI6R0+7Earh/L/vMD6OwcLKqyK+zL5/rEVdxv2GFQVmZ0LpmVjmo1D7vP5mR9G9Kt6eMReyj5mP0LpmNUiBNlfBgB1NRF4j9jOqJszz+wemSN1TnqPbqX/fMT7DLG9u0OJg5y5Xb0axUg7j9g9LlDJLsgctRWDz2u09porsnmY6+7K6kX04rPEGp1HqDVngk94H+XmN3nvmuVZa2j+s18wTjOMK/bGjePT4hldZdp+l0ksTRhECbMRNRVgPbXofEWcpkX21OBOW4PMPofTW4y6G4rJYOSGJ5h9LbUqX7pkZl1r/b4lDe5Sp/dlnVJgTYntiWlEWV31Q3V2THvfGs5Cf3i7L4gue61VMA0NftEPeZFX+KTFPAxLOQ9GXlML7W/dk49ORVxbzLeh2k/ZLar6G4tC+vMJ+VmBkfqU7zaLFtqZtRY0b05QnZi17aY1IUx1DLqXpwMMWuKup2nWlyaqxdVOl9eNyCvJ8xWVhtfTUtr5xV/ZY61jkYpBXYmoR2MoyDQkx+opZ5mT1Cikgb7mAjQaZ7q9oE5Tp9wNfH1vyDSe0FtRr5SzObfaW5LWeY1ksvCDZl9/OV1X3nSTBwqa8Uch3nUOl6XnT5nv31txadMLtkgtD59eqX/AKbG5r5mBmV5dW/mFgnkzJ6zhUggN3n95VWvtoMvGftuNk1r3DSjIrde7T3E/MVtHlKbufmcpy/ZvUzMKjJpO5fjvT9ssUtOmXPVl8J1PLX2/a+ZjZNt78t+JT1Kvw8Zua7mddbjEWDwZQrZa7EKgWcTBWJw0YlmpW3KZVO5aOJivqNZ2nuQcLl4tOp9LbFfkncTp3VMjHPFv4yrPx7l2DqE7G9zjrxOO+/rY3Bdzj27wdvR98DHA2ZzFY2Jjqc3qS7+J1DKC1CtJyYnvHT7dyq2yt9iL1Aagz9yy3mdzmRCY1glmUizIytzmzGfT1SHELEd9+uV06q37h5mJT7WRD59c4LkHjMfG/TPtZlFslOMboi+ZZ0Ur3h6S8fpV0/R5VQ7TllrBn5y/ExevZNL/eIv1LiH+Qi9cxHHYw9Zq5djMTqNdx9eAaZtKLZsx8KmzxDj8MsBZ1v9MtXbu06bkpVsGLaxtBWvYh97JwuadjE6gjWinLs7CZX1H0fp+MeB2T4nSuo5eTksWlb7QTlN95Q3eWJyEzKfvnv6n6jcR9mVtOzrxMz8c1XdpsD4i5FvDzMHqw5BHmTlpj+O8XqGKw2Zb1SlR9kzs/JtXYEXque/9JX1PMq+5jsTH+o8V34vLcuhqNqfMsdaweU5kN3mCrI5aWEk95XXynAEalnFRGsiXanvCWZdSDzLOrfAhy73Mbm0FP5iVd50K9a19swAefTQ3uWLwfnBYCNzlLblqr3BbybZin8enmOu1i/b5jNPcEZATuBKz8RsWgjZE+pOofobuNMr+o8lf5CU/UtbfyE6VnXZh3jmC76hpHjYn/5DnUnVlUX6tRf5VzI+pKMg/wACInU67j9ol3u2ZHIR+n1rUWZ9tMXouEmOTa33GdL6iuJU9N3/AElnWhlD2qVM6hhWByW8wdNts+0DtOj4OLj4/EDvOPBZygbvKD3nKX084SYvmV7ErMQgiX4q3rsy3GZH8RksWcww1Gts/Mqs3O2pxEqwkvrP5nUWSmwVMZltRjvoNOm559z8y1zYRuWDbalVbeyB8wyru0Zwpl9oPzC858V8TIzMkHQETHvv7mV9PRB3nshYa4KXMpxWlOO9bbEotBGjOx9OqZ1eBh+7d/D8zG/tE6cmX7F3j4PxM/616R0+oOX5b8anTPqqn6gZlVSup73gSpzPI9PMtq7blnb0HcTxB3n1ni8Lw0ZZXPoj7R3lf8JYtLL94Ey6OlE/iXYGF/oaUrVjfMzsssOKCYmT9re8Zjrg5OQqknvF6Jg0n8xEqr/iJm4leW+yJ1DpagKa/iVdqAI0aKTuVNFczfKcIqAGCK8raBwJY1TS/HUeJdWQdiC0/wCqVMOXaA9ozqg2Zi5HubnV6PeB7RsHIuILCUY9dC8VE71rE7uCYrsBsR+3eNcKocuyw+IwdvM5VovePkJ/pln+K3eVfaIs1uCpZXWsRRAp+IuPb5ErW4efT+0vqOVQiYzOBVZ/zCuyeLTfFdHyJ0HJy6sse1ZxT/UxmJ079XULg/IH5lfTkUT9NrxHrZRFP5nLcsxw8ODZLKbaoGPyIWCz6w2xBhr2NzAwrMy/21n050d8NQJfnV4q8Nd5mdZy2GhCWsbl8wPrzL7FnRcZOpBkedU6f/d2Xx47X8xMgpeH3MTrdT1nlEfku5sz41CY2o3meIjQP2geGa9FUQ2hBGyocncN7E95dlgeJ7q3H8Q862mPb7te1mXmqbOImDXx/lMvgf4mHQqnubG4paxtmJYlZBaZWZof4c/VVpV9xnvqe895j4hYwvDoxIjTZiRRBMZQz94q6m/TMfIXFZscbcT6nx+r5mS9mVUQ2z5PwPx/SLUbW5NoD/7jioqa1H3T6U6cufaxSk2FO+t9v9p0fIysjEU30+0R24weh0B3ll45mUPzEpTfmaAjIreYcWo/Es6bS3xOu9CTKr0BMj6Uy1bST6a+nGxGBcd4FXGq3LSbXJliIBsyx1/0iWM9neGlj5n0xStVDbE6nSHwm7blx9+wAdph0BxpTMSlqqdH0MMZpsmd4rHcU7E3Gh3BuOeAl9x3DYYpJl9mhqGtmM/TrT3tEFdZT+k5ewrcZ0jF/U5DPZLT7dRMx7XvJPxLbV5kCDla2hKlC195kZOPZSR4MqtX2/zMqyngJiD3a/tEt96o6MQkwgmcTEBEG9ytTuKs7aituVtxlTmwem4CwOxOr9CxMw3W51hOxoD8CZX09ifomygvGnlwX/3fmYX0Tkm6rHuPB22e/wCP6T6U6cmD71DY5Rt+fg/gwfy3DsQdzqdZyRTVxB7z3GtIM6evbvPA9d9tz+UZFaHDoPfUWuuvwJ1bN4vwhvZh9sKF/MNel7xa3J0BEwLrLJip+lr1M5mbEPEynp7W2rsTE6YlDb1BOULRjNbgXUIg8xDBK/unsmLXqZh4iXN3mzMamzXKCtee2mLWljzq9q64zFv4JtVl1OQde6OxiCtLPZx5lY2TXTtjKcd1q+0x8QKu/mVXpT2Ilb03LqZ2ItI2IHtoPceYlGYDzZO0xtOncamaTbdErInACBRuBREr2ZWmh6E6gs7wW6Eq6j7L9/Eqzce0eZ71I8mZ3XMXH/gdzK6jkZlhLHtB0fC6h0uqu0faCG1/WHp2OchLz/JPE7g9jNfif3qi2lH+Jk9eSkHgO8tzMjOt5PKKCRMc+2JVerj1stGtCKDrc16dp1Omv3fE41hfE4rAB6At4iGcticQmtfELmbhOpy3Ahmpqa3OMWAzEuGpzMJMzmlmyZx7RbbEXQMG3leQKQ0znsyre0qN9QAEuzb8tlTXYTCtpxsvx3nV+p0208BHysUKqq079uB8y7E35gazHfYjM2U6/iX4tVoXfxK9svD4irow1cn3H0sa2LfEs2ZVYIGGoTHecpvYlnmVIfzDj3v/AKp/d5/EfECmdJbliBfxBuHX5l+XXQvmZNzG5nllrPZ3mNoRL0VYMiUX6MTLTjLcpm8StyfMxyCNT5mp4BJmS3uPCIRNwNN7gMUmEw953hECzU16mCbmPeVlFhMdtTLfbQ92gWcdQb+I1YcGLQvDt5lC28/EsyONoOpflafkBE52o7MJhdN2DvyZVWcfJ1y3Ft91dz/BtPGUVnHt18TcUMDGYBZYdS5jGLGLuK2jKrItnaNbqNbswPBYNTs0ori6WFtxkQv3mERWv2y+2wjsZYbT5aXA/wDql2+MO+W5WxiMwis0WxgZXeYG3K4lnGNk/iHJcS7LdhqKw1CwhYQmbgOoCIveHtNTjqdv3HvNQSru0x3CiX5Altm3mzylI2IyRKS3aY/SVPdp1O2jDyvarOzKsvIW88uwlicyrue0yWGVZxA0JW19NZXUpzigKt2mLWMi42bhsdTxWY1Y4cpbbx8xrQVGoG7RrgzagQvL6zCk4mHtK7NSu4ER7O0NneCyB5UwjZXtif3k0/vIw5/3SnqXERuolhGyy090nzDxYS6iVjvqV080jc6jFt2Iryu+VODNn0vuVRLMkEyuwxnnJoWMG4NxTqK4i95oRpr9gWMNQegiuVaV3dpbaTD3MX+UoXtDX9ssvpxKlZpkZdaY20+ZR06jBqbNyO7H8zL63R1Xqb04y/aI2ZSqKreY99PlRPdSexj2PthE9mpdJGPfcxbj4luiJXd8S6zY7SgbaUVfZMqoN4hq0Yyx1jdpS/aO3aM3eIdwdhPcIhYt6NE7wqSO0Fdieggh7ie1ozGPbRjVA949B+IVsWK0xrpzluVxltpsMWuKvacBCmpxnGa9FlZE4xlnGcZxgSBY4hHo7aEAO4viGGVJsylNCLMyls9OP4nS8Rhkg3k7H/E6xiZvVvsDaSU/R1WO+qj9062lOLeqJO5UiYuMfZ5GMIYfEoPGF9weYXJmJVyiAJVLLFlgUwoI1W5fVqKdTfaEbMrWN+PUwyusTDVLLNGL06tkmT0rj3WPW9R0YHgO/RTqVtuJSGn6JWEu6ed9p7bVRclhLHZpWs4zUAhA1PE+YSBOUUbiRWnGMsI7QLAIBuFNwpqMo1Mh9CDxK/4xvE+ZT5i+PTH/AM2Uf5hlX+aZV/mtOqf+aP8A7o38zMT/AMsJZG8+lcMrn+uYUs/hLfUS7zPmfEHmJ4h8z4h9U/jMD/OmP/GXeTOoeIf8yJ4iQyvzKPEHpkSyGVeg8T5h8Qz5jRIkWJ6N6Dx6CfEeWeJf5n//xABFEAABAwIEBAQDBwMBBwQBBQEBAAIRAyEEEBIxBRMiQSAwMlEUI2EGM0JxgZGhFUBSciQlNENTYrEWUIKS0WODk6Kywf/aAAgBAQAGPwJb+GVHhnyxdb+CYWylb5QVAKklXz3XJA3QOm8eyIhbLYrZXC9KmFDGq9Ix+S6m+dstlK2W3nRC2W2bTPdAF3mlOZKP/wCFB8UyjDstlshZRK3Uyt1v4o83ZbLZbLZbLZbLZSr+KPFtnbxbZi63XSpqCFbLfwOqd11e6CvluhicW7Yrl03fkjdWXoy9KiEKQBuU0mmf2X3P8Lppwo0rb/2LdawUxjnD9017T5sBQ9qL6MyvmUjH5KSD+yuSpGUSpnPZbZ7+C+cefststlYLZbLbwW8I8i3lXVwr5wpylSO6Lir5SVK9UKWMkLqYplSolQ0qUHVh3QOhehEx2RhEK/nb/wBrv3TabnKW53VvGVpULSVBpg/VO1U7LpUePb/2C6286xW3lgKdlcqIykq2UJoz1ZTEqeWm4enh23XMcyDCMrQjppkfVBmi66m9lP1QyN06CrFStvBv4LZX/uQ0uQaXXU+KM90Qi7IFfLFk/nUP1RawrdXU57edt4N1OW/nRnby58xoJ7oQrLZXcrFQV0qCgCoGfSrqZXNcJDVpb2XLYuZVH6r4bDi/utbpWkFagFuvvFobN0dYK1AKHrfLfwXVs9lt49/M38G6Dmu2QYaiAL7q2diiHOUSt1MqNS0o1GNutD1AKun02jsqj6VAObNoRZisG8fWFpYvmU87+bK2yt4r+Of7/Zcx3ZARstlvldSrFBctWysruVlDAgGMGp26dqqQO6LX1PSvhsM6I7rrk/rkVqRIcuVqQJZdSWo9KPZbrddK2W39jbwW8N/DZBzSgx9RAl4lapUgrpcuoLVlCkOUOXK5l4yhQQtlLm//ANUW1cI135tTsRgPln2C5VfDcwe+lO0DSpjztv7vbwx4bZ7+RzO63ysr5bqJylQp8EwhLbSuVhvURdF3uoIVlpWorSKnZHrW95QGrst+yddEgqZW6uVEeCPFH9ht5GphTQ+otGpaSiZVluoIWojLXTKDnFBxy28Gy0upAp2KwDNLgJgI4fEdLmnZbqM48m6nKf7LdbZ7eVGRyhbrfxhjQUHEZQfCSVbOAoOWiAg2k7qClSrKYUolpRGpG61akPmD91HMbsnQQirLdCVOpbqR4bDOfKv51wgZQ5ZuoqZdK1QYUwoco0laSFDW+Tpc3dPxGDp6au8hPwWNpnpNit85z28jfKFvlbK/mz4beIZTkUfDvlc5hXznwOejfxWWty3U5RlEo3ykKNa+8V3rfwXK3V3KVbLbOM9vFt4b+Lf+Fsc4AKsx37LqkIOK1t2UuCgLTCjStldamhQfK0+6OPwrOttyjTqWI8dvDstlt5263W/gE5b+KM9/Bsj5F8pahWqO3zupzICnKSrZ6lfLS1brdWK0lamKPJ9WXq/ler+V6v5W6nwR5+ii2SVrey5+isIH5LUax/ZfNph36ImnhR+y08uBK62SgPh2qRhGfspbh2/tlpIVgrOzsFErShUyupnxQtTnJ7C8elVn0ti7wT5MrbOI8mPIHjvlfK/glHxR4JQw73fkpz3zAXUr+Gzv0ylajnpWqooaUY8yxW5V3FbqfPvlsmuc1AADZXAWwVmKwRNOhJX3OkFB1UrvlsoQj9VLcrK+WpiDXBQtvFJcvWnA4mE+nRqGFrc6ST4b+HZbZR/aiP7A+VCaZTXt9lsoysg0prVqUZzK1HOAoAz1FRTClzVB98tvFv4NsrLTKAW3kT5EoB7k3S66lbZQjzB/C7LoCsMpUhQ9SulElQtOlQgRlv4S6miMQ0wO6LaFWf1RdVrGPafOnxx5Gyt4L5DPbKIUqAv08AHgKKv5G6lCnOy2WoZXCBV8pHg6soUlTnoHdCU7pUtatvFv5I8EFWC28qyKstD3KQ4Z3UZelenKEYCNstDlClqBi6mPIhOp4ilMhOxnB3aD7SnYLG0i17Tv7+d6st/IvlststltlstltkAT45V1bKfPtkKblrlbLbPTPh3W6lXULfKIQeV1FFoRPngoSVurZbrdXW638FvFZamnumgu7e6FRrvFsrqJynSo0r0r0qzUKNZSCtvJhzQncWwVGHMuYCB7zBW3dbIeRcrdQCt1v5G3g2Wy2URlstlt4N1ut1dWK3W/gF8pjL0/yiKdMlHXQKkiPotQo2UOZGWyjTsoa6/sqtHimE11gbp+I4A/RpvpVSgcE8miYe+FGLolh7SELdlsiZ7I/mrq+UkrfLSDsuWCtSuFutlpCsN1ebouRDkYK3W/lyt1ErfPdbr65brdbqfIbDk1j3ypZH75bZbqS4I/MVlcLZbLZelXYhjsOI0m6AkLfwT4f1VbDvZMtWIwkemoe6nStlt4dltlOUSrnxTHjlTlbPZXCnLdbrdXK3W6v4oAUQutdZTy6DKIawfsg4DuhT0CwUUG3Wk7qfwpnC8ELTNV/sE4VsKKz9tUI4PhOHa2viH3cBsmYZ7phsvT6NBgbSqOl9k6noHMaPluCdg67Lt98nX7ZWy1KMjCnutbs9sgNyUHPahZO1MTmimi6kFB3W638F/FCkDIX8vfx7odRQY96vU/lfefyvWrVP5R+Z/KFGke6bUeojPbOpTjsYT+H1HbO7oSbrbO6t4Ic4J8uG3usVXp7F+e3i2W3gjIZbrdR52y2y28F/DZaoQ7/VQ1uUK60wtOVjltKPNYI+qdjjSDamK/F9EcZVZBeekKrxnGb02nQFiPtNjbCo4ikPoqRG9R5TXO2TeOYVtqm+TjkGPC5mGYT9FoqYdwntC08sgn3CFZ8LW5W8MIB+4QtkUTC0liL6QgrQ8LfO3k2VygZW6kefOU0nL1q5ViUfmFddSUKxCbDe3jNkMTStqTKdXEXUa/HZXfYo0qb906rU3cfMt/7E1j9lp2Chru+fU1airuU5QFByaw93QsDwagbBo1wpFmNEJnC8DdhqaCAsPw2l+Fl4WEw7Tf2T7dTQnMdvTlOb9UbKfqmNoerVYIVMUBqIQrvptJHaE408M0H3hfCe260MWqENbPDznodSPzFp1rUcoIVm3Rc1aXq/lTmMrt/sdlZb5AJh0oD6eM9KYRum1aRIhNa+rfv1Idf8rpz3yL3nshTpukyrqx8zbw3z3zv4RfPbw2ziPHqQo1TCstlYZRC3WpjlspcCphQqOls9aq40/9O30XIoGXOElYWsWzqdLkKcWCZhR6adJPbvLVjGVrCTCd+aMLl0mElasVQj2lcl5/NONN0DsnNe7q91UqSjUp0YE9MqK2Gjlm5XPFHo/yGe63X3qtUVqi08xaiVAOXqUEouAUgKHeVstlEIdS3Vh4reTt4R+aYI7IeMlzuy5Ydst0KtN8GUKVerphNnED91eoP3XrH7q9QIxWanU6NcT9E6vVd+QV8t/MnPfOZW63z38uAtvL1hfNKlhW+euFp0qXLTpGU0yqVYjpD7pzm25gACFDFP6A3ug2hTEzZydU7AKti2OkgXUPPZVeS/1O2laiEUKzqg1E3CaMO3qjdHTUu76oNDe3Yot13PZU61a7e4WjCPb0dgjhm4TXrbuhhKr4a/sviMIdYG6gb9xkXSiA7Zbo3Qv3Q/Lw9QVgtTQFDm+TtlMK+VypGe60hRpU6F6FdbqctvGJTBqQI8MqSU9zqoED3VTEgy3tnOpDl1z+6vUJ/VQHH90RrP7rrxDo+hWt9RxP1U+fHk7rdb57oKJ8ifJsrrddb1LXKW5aFOV8pC0uQpOq7FNr06m4uVQdTf3uVVxDqmzFj+KVju8wquI1dLRZGnuJylWPdcqnv7LVVC5eDqXIuvjK2MH0X9Pp+sbuR5RgD1OKbTJ7/wAJuHo05TRiD0usWqpyjYmyko0wxajkUA1DVlfKVfLStRXy2qHKfJ2y3V3K2YstTmKFrY1EctXCHkSrJtEv7po1+DdElyM1AE7B4epPv4I1ZbLZbf31vBfzJ8jU0qA/ZfMlWCtlrereCQ4hCjiHH80zD03E33K5LKg0VE3BYSoNTvXCGEw5u4XQc7daBkSKep89IX9Yr1C2/oXwdSqDVIRrtrdLtggzHPJafZfGYZjm0Yl0pn9OoSx3dCpxR+l0WWqlEt3KNU6bdyn1D72Wqq9fL8AMXQ8iFBpovYohWV/BurqPBGpepbrdDLddSI0BbRlut/GYcuawmyY01Lj3KGoheoKzgtRenfN7e6dRoVDplSd/deryd1v5O3mx4N890AtXkR49lspzhFDSV1IVSe2WkuWyJc5b5SteqwQfMlNoF1uyJc6Vpaf1UOUt3XIe8hfF4p+sM9KdynjTElq+Mp1RTptO/wBE6nUqatPdDiVeoXt/C1GiLDSvhXxLNl/tT2ud2Ep+JOEs53TdMIMSdgVpm6Oooq5zEFBs57+K6hEwrNUHyrKJykoOagHFeoL1hbqynyLKFda6TiEGuqL1KXPRDKnZFr6nTnt58+VHnhR49vNtl6lZy5euyDqjlDVdytldaB3XLIWlrYTaerplSN1ELZawdlOgOj6ItxGG0NKPw3SGtum1eaXavwlCv6gfwoDRpA7KKZhOrT2T61KndvdNNfFHRG0rnVqsjtKlt0bolan7LTlLWqXBXzjxXUL0rU0Z7+CfBbIBjF1WUyvUpnLUoAykq63y3VsrnLdbrdepTqRv/cz/AGMLfKCVPlbrfy4XSUPmJr6lYbKTWatTTIXU6Fq1LcKIQdHdXW2ULXU2TaNMdS62WI3WgGwWrlWBsjVqiBGycSbSiwOunYYN6XJoqN2C0DYeyMO/RBrgtHZQ1S4XWv8AhALp8F/DdTlCIWryrhCpVaYQ00Y+q0v2UGn2XMo7eyurLS9TCPSjCjWvUvWt1urbqCFtldATkUTltlt/a3Uq39kPJ3zt4Nsts9vCfgxq0qhw7iQLNVQAgoYrBC7oATMfxF+rWzUnVG2Y3cohmwcmtFrrmArlsdsrhb5WQd7FaTU7IyOr3XJrCVyqJIlO5ry72V1qKl9TZGnQsuc6Vt4elXV1Iy0kLUoAW2V/BBCjT5TOm0psshSFpJ2Wkr5boUgSPotWZTg1Q73QCkFQZRJNlyuEcPe8f5dlr+Hb+WpPwjeCOJZ9Vr/p7aZ/7iud/TxV/wBC+G4jg30ajd2vyIz2Wy2W2Wy2/u91fK3hnIIT491v47+U/h2PqBvM+7KwvFao0Cl7fiQwGMoaqTdgm8LoVIGwj2TMHh6t37qU3/UEGhv4VU0n8S6itLt1IKly0tuTstdVFn1ytZTzAtIMlaWLcrU6d1phXHhmFbKM7KT5GylbeMBB1XdAscizUiKU3WrSStNdpatJb2Vst1upBUxdXRRgqhw+q0upAzUshhOGYVtJrbWaogonSPqYUNCvP6p1Gvh2iuB8qs0QqnCMaw6qRsT3TjoXpWy1NVwp0qIy2zuP7Hf+yCCuVOe63W63W/lbrdb5br4QVg1UK9UzRabuVKpytQ1dJWrk6r2WnGAyezkykzZq+IbROj3Qlv4kGx+FVBp7rZamuQqVZ0r9FzX7DZF7uyOg2lanVFyaX8KS4qTntkPDstGVs4U+RdbKQFfw7KY2QGorSHFF4JXUgCAtQARYjdbrpcvUtLnKxW4RuvUqpIGrlFb+HZN41RpDm0fVAVmDqCJ0BRCjStUIv0bKC3wbKYW3nbrfz9vFcrfKVut1vlut8t16lut898vVlui/B4R1QDeAm12sdTqDs4JvCcRRh7/xBfCV32pHdNr4arqaPZNxVOpsbo0MRW6SYlDAsY15LewTntbA1WEICPwo8mmXH2hT8E+PyQGMoljW+43WhrQAAiNQ0NO8r7wbbSuVTMNWom6glB7SoKhb+GcohXGc5bKY8zZFwbntnut0AXrVIK5gWsFRzP5Xq/lG9/zW4/dQCP3XLoS4nYBc5mB5FJ2z6qk8Tw0+yOjh/wAQPekUWcR4RXpRvLDkyk50Cqwjw3WyrYdzd2FVKD46ahCsVqAV0DARplv8I1WMt+WdzncKQFEePdbrdbrdb5beDfxbeHZbLbwbrdepb5brfLdb57rdbrfLdb5WKqcOr1dLnnpQwOJpgVfwPCY3FYZrqsTzE59GhE+3dOh2lvsVLRaYJQq06J1v7pxxjSW/hBT6YAumg7rm8laCwEqLSqg5kOhOpaivmNK2WmCi4hbLZbLZbLZboCcoatTsrqVpV1bPdT5MFGAohStltnIKnWo5i6nrlhyOl6kvU6ldyp8OwzZfVdFhsqTzhW1cRpl9Rw7rptHZqutKNDE4Vjwd2uajVwNH4Ov2dS2lM4u2k6rRpOtUpBUeKYV06m9Y+qIjwun2WLY0257lYrqQhqlQXfyjMSi2O+VwtspK2RIC28Qut1v5kebY5bqJy3W+W6jLfLfLfwkPXLDUMRTqODmoY3iuIBpx0e6o4WphS7qg1OwCjB4htcH0gdk4OEki/wBE4VXW7By5urqGyDmeqF8RVwpOo7oPc2foubpgQuZpiEehaQSArNyuvmU5XQxQ1XV2r0hXYFGgKdCkStI1fstQlToVxlcLU1dR8qPDCloV/HYrdepS459UKvxDG8K1f9Ks4K9vEadam1zCOprgnjhrOXSqGeWNgteqyhlUHLdBlSoJdssRjKhiKZhPxJ3qPLkCUKWBwz6p76GoPxGmk3/uX+04pzv0U6XSi2liKlOfom401ubhX7VI2U+DbKVspA8W63W6t4LBeleg/so0FQ8f+w6WqXrWvlsLiPYJlB9HqJ9kylWeXS3pbOy5FGruqmHrGzWo0WkT3lNdSrXLuyAElyp1WuBltwi+oRP4VNUAoNaAjyxKnR3Q0U0OaFDHrdWCtlqcpA7rZS5TC6mqwXZSHKNSuFYZQrBbefbwb+TuhhcTajTE1GnumcP4dS5dNotCv47rRU2ITMC2sRzNk2hh39R7hU3VKt4vKHD8FXDnUD1Kn9mOGO1V6vrA9lHwZqf46E3iH2jmlRPppdym4bh2EYwN+l8t8phYvBaJc1utq5bx6fDfLZbKWhQ/xwFK2UaV6F92vQrU0Xhu3lT5O2W3ht4dlcKKtOytTsNk3E1/l0Hb2uuXh8GxzouXtmUMU7htNrx+JoRxmDrltVosPdcnHYVzKjdvqnVaNYBzgVpx55Tm/wDMHdc3CVDoYblc1vUgKlj3TK2PrFlEGzR3X+6GHmNG6qUKWH06PxFGniMZy43Tzw7HU6/szuU7AcZwbqDx/lsVf9Ahf+UCHLTWXS9awVZQVsgNCjRsrNVhFt1PC8KdAPVUcvianFhztM6Oy52LxwZW7NGyFGlVY8HujwevSLNO7kf97Fp/JHFH59LvUH4QjDyR/Yz5kkKvz6wD3M6Z8O3g5jmEhHDtpQPqqXEi8h1PaFFRfBkz7QFU4hQpQ+uZWGx+Dok4kujdMxuPd1G5bCGnYbLbwWCxuOFDXppHp/NOq7a3E/lnt4JhQVdGG/xluoy2XU1TpV2/wpaP4Vx/C2y2RkJwX65WyvnfzNstvIsEKQV0PoLpvF+INjDtNm+6FOgwNAQVlNX0NTPhsIDV/wAgF8RjsY6TcgdkzB4bE86i/wBUoUMP6HdkXUX6foU3jPE7N/C33Wpot+ELSAnx3RtupCdQ4hhxztPRVi4T+GYvqZPyqnuhnLSUG1HZWW2RLiohUcDHTMvTcFg6ApsG8ItG0It+qa5fE02AOO5UJ+BxbdTHiCCsTQdhXfD65ZUi0Ky3y9K3W6jK/neoZRndMw+GoudUeeloCpcX4jjvhIu1jTchNo1KmqB6itTTKuVupysVcI83b6qljuCYlukHrbKl1W/cI4d/qXODeoo84dDE3G8qXM2TRyopN3KEFWPhxWC4bRa+q+mYa7uqmExtIsq03EPacpHhjwGWrTpXpV2r0qdKsM7ZSt0YRYtlcZbLZbLZbeXstlstlso8Jt+yAaN1zqguthCpcPpMJbM1T7BUuH4ZoDKbY2VsuW3uocur0N9RTsbXf2ikye6djsZEE9KBqnbZUOHYdp06hrTMLQaGtY2IAUpz08lMX6KyqFtEc/DM1NdpuuW4XaYKtlpV11Ky3zkhVOLVaPrs0lXyKhTlM7rE4DEUmuc5h0OjYqpg6k66Ty1wKlWEr4fg2CfWPd0WCD+OcQDJ3psC5dXBCsfd6NXgZdh6oFmjYqrw7Gj5lJ3t5E+KOE4Mub3eRZSzAscI7L/efCqlIdzpWtp/hXyk9ij9qOLUZP8AyGkKfdQf3U4d60YhkqTZR8UyTsCV0vaf/kpkfuvUP3RqP4rTY2PRO6NF+E5dPtV90AyoTJ3QxG7k4gz7J2FqLll0yVIcGxYwvlPErqPg3UAqvUdTtX6meCVEZ3OUKYU6Fdi9C9CjO2VytIK3XqWpSrhelbLZbLb+w2UrbLdQxqfzKerpWgU7hWbC0gT7BNx9en8/EXPvCgBRZF8o1n/otATsRiTDGXcSnObU+VTMU2qMq3Gqze8NOU/RFOTSv0yruxR009BBcVifhPRzjpQMLZXCglbqPAyjHrcFhqFNkfKkjOPDsscwNjXVLv8Awvp7r4LCCKbD86r2ATOGcKw7WHT8x47q2bvtXhhLJ+aPov8Ax4J8HqXqVyukKnh8Lhqhok/MrAWCbw3h9OIHU73USjh8fhmVGuF9QT+N/Zps023qUPZW/nLD8LaPvKgVLBUBDabAAM4WyuFUxuCqvZXoCdTHIf70qz9SiGcUeEaVfi9Q/qhTpValTSZdLk1uN6TTZcJr8P6e6YObEdvdap3RxjHQEYedcdLlUxXEOJlwc70qzL+6u1bZ3XSsLhacc1rLqRlfKIWy9KiMpUQphbZ7rfK6st1MrfOIz28M+Ybr1KZz6GFDWIUFslTSEErV3K+aYTMPQpzSo/eOTMPSA6GwFJqQpDgVpqt0juVGHM2XNqvt7LlYKtAG7Qd1ycbQLCNpXpRMJjmtjWZKGbkCv0Q6Vi2MdfRZO1NvqurLStToVtkKNCm6o87NaEKtHgz2NP8A1WrmV+H6h7MC5lLhZaPZwWo8OmPZYajjWOpu5zbOCpR/0RmRmRkPzVR3vRC+E4RQdE9VWLNTOHUmtdVP3z/8ivzW+Wt5sq/Dah6HshPbUwbzSB6KmnspBX5eG2UqBO8fmqdejw806T+7wsPwyjQa1zafzCO5WnMse3pI6gU9tBsUsR8xikBOxb2SMOyQreG6xTS2xoGU5rezijJWod1rw3fdUuF4nhr9OnqqNCZT4dTAZF0GYqlBaOkhGpiIdBsgxkCVqrPt9EKVFbLbK4zfxDFvDadMSZ91iOKajp1QxdO2W2Wy2UR4YW+W+UkKVErdSSolRkFK2W3h38J8XqW63W63WllyV8RWbP0X3P7Lppr7tTpXuVMlO4nWb14h1pThU/RbLoU1P2UU2qO611ii7lNYWts5PwlT8Dt0YKw8f4qFGTvqgV+mVSkf+mViaTD6ahUEZcprS50wGtuhxHjr3YTDb8sjqcmf07hTC8b1KgkrTSEBdUn6KP4C+WP3WjH8Pa2q10061MXCp4Qvk0mxPiIyE+6pYLCsLaDcODiKvaJTcDwnDhobYv8AdanLqWik2Vzajr+y0NXL3HdHCYvDB1MiIhUeM8HpltN9ns9ip7+PZf8AqHin/DYV/Qz/ACKFJgAYBAaPE3itBk1MI6T/AKVYWWMxg7u0+PEmLckqoR/mVpo4ao8+zWoPo8JxB/Ji5/GqL8NhvZ27lyeG4NrBHrO5WpyfiGU9do32TamLc+HeyOKpODsK49EhS4TO6lhUHwazZo3JRnFCvV/Cxi5Gvk4abMb3UafzUeCfDErfPZS4LbKxUKzlAK3zGW/kbLZbZbZbeDdbrdboVfZDD1ngItZUCgPC1TZcukoc1Ckxh6nALCYVrPTSHZNLHaWwrvkKXDLQCuY9Nb+EbrlR0hDDcOoAOafmEI+3ZYfT2bCIRynL9Mnav8SsWNf/ADVLUzB4Ki6pUeeljQm8c+0lBtXEuHTTIs1ANaLWC1OX1+ivsp/lQGz+S1tbpCrMFeXadldFBynI5WTnspjU4XK2susqGbK4WkBcsKy+gVUVv8pb+aHhspUkLCU8IB1yXfn434SuyWvbBVbh9dsMLjod7rFsnat46+B4fHMqM03QrcW+fUO4K0YXh1No9tK+6b/9VBYI+iAcZHbItI7rCUa9SMFWO6xHDaVQPFDb8lzKQt7Z75bosc2Q4QU/7R8Bp/WvSWysoVxlceDfO2cZbqCUSt1vlGQnzY8O3kaqby1AioU2gHLS53a6+W2ympchM4toinTeDpQo6+VpEBfOxetn5LS0ZQuY9aAujdyk3ndP43wcOL96lIL4fmlpHqa5VcFrk0noI5BHIyqhdsKZWLI7VkzAcNocyo/9gviKjeZjnjrqu/D+S00wf1WpxuvUt7rSwKapgLpEog2TMUGw11jZavAM5RUuXV6QvT+i3tlJ9SgfqVbsqfCGGTUdK38GlXVwtlW+z+Kf10HTT/Lx2RoYmnprNb8qqOxWP4PxKkZDpa//ACCnw98tvBZQ9EkTdV8HHzWMLqR7hCji3wKp5dTV7qW97hS1R4TTqN6XWcE/4en/ALPiOqn+fsoU+RZSr5WV8pRW6gKfAFv5k+Ccpz2W2fb9VbuLL4l4kqX7LlsbH1QFSuJP1VCkz8TAVtdRGUnLS1Nb+60nsrqW/qn/AGi+z1KKrBNRjQv6bjTFPEdJB7FaJ2vdBasy32OWIxR2ZRMqpTwTC5+IxMUgPeUzE4umHY2syahP4VZWUuWy1EQFJ3XqUMH5laQi2Li65eqSwXyMr8ipyurIucvotLVcLln1dlrcrZOeXRoEuKq4pn3TJaxDwBoQK2RsqPEj6HdNQJmIw79TKgkFenxWXN03jfKEFp8F1ZTnZOB91P0WIbTtrcKrI+qbRrP+fREOH0XT+q28QxbvXQqSEPHbK+VlfKxW+W6hT4h5dlt5O2d1hsJ9oi5uEqVIe9u7UKuCqGtgK4DsNXaeya1on3WinSATgXxKDqtYmCNysHi8L/0YP6IZ6RlJVlpXWJWphX07hN+2H2dYempre0dlh+L0njURFUezlMoOzcPrliXNqhr640hf+v8AjtGSD/stNwt/qWoFSFJKimtT91DGqX7qag/IBX6WqNk+rqhrGEkoim4DCB2hwQqU3S11woTw13dABbovqGyhmygbd1DctLQtbxdWUreyP2a4NVmo77+oOy6j4IQe4LbLThMO95PsuY6mKTT/AJr+m8VxYqt/A6NvBdWUKEDOW6haPbyLIItULCcQA++pw79FTx9B3QXAVWfRU+I4GoHMqCR9Fc+HdVm1Xbu6VKjxXz38VjlPiuhlM/2/Vt3T/sH9rW08Q/Dj5PNNy1f1ng1M1MA49Qi7EHfC8iiWzzalpVXhrHtayk2eadl/TuKYZ2IxLmTzqewWO+xmK1aaFWaWr/FCo02OcqVKc6fovmjLWzZTCfgsVSBbUbpT/s9jJ/p+MPynHYFCDLTs5FpWlQnXU7rA/YDhZL6GFfrxZCp8LwzdFGiwABqDKLFL35WsrPVrrrpLmBdC+bssbiA6PlFrT9SjzT6nTMqnQ4k13JJ6KpXy1/TMRUa11V50rS2oPzRmoJVHhPDG6qr3XCo641OZcL6qVDVLlZfVSXbp3B+FVQcVUsSD6AnV69aXP9bid1t4BKFkJdC0Uj8pvrQGHw7bd4W/6LZcqrut8pUFSAta5bj0uT8Pbp2VU1ao0tdAQo0RIPdOJ98tIUnxwMsDV0/ictX0TeH8Qqk4Oqe/4Sm4rC1A+m4bhe48BxmNfpYwdRQwuD/4ajcH3UeRZTK3W63W6iVut/7vbxb9shxv7LYcufg3hzy03hNpcZw96tPTiGOCdw/EyKOH2fNnBVDUDRS2a2N1p0tYDsqfH20ZZiaEVI90GtOxUuOdlup1KKokLoMj2y1goh26c+m359ESzSv/AEtxmtGIoD5TnfiCmUaru/0Uh6cXuAvYqviqlYCs9mmgsT9u+LNnE8TqFzS72Xw7L+6u9esr7xWqqxWy2UFqsT+6u1OwfAMQNQfqdRP4oRwfE8O+hVabtcP/AAncHfSNZlNura4XJo8wBu4c1UeNYTEFlRhRpapgbptSlVsTe6HEK+GDnR6kKtF0z6Qjice+GqKQsoaF1KwUkp2B+yvD9TnWdVJT8RxDh9d73Xc6NS0VKZafZ7V0rf8AbOVdGHJlcG9W5Vgr5WWmoV6lYwvqnUyYMWT2PfrTGlpDdeowVFP8bYlOL6rnVKzi5wJVejiGcssdAkJmFp9TjuVDT/Kub5bKApcoW61OKLycsD/qdkQU3h+OeX4V299k3F4GsHU3CQRlMKQn4Z7xqqfhW+2UKyuFsoGVytwo3/uo879FppUXvcOzGyq/HsSK1LXYMI3Tjg3lwnqZCnQTIu1Nf927bSufxP0D0wUAHaw02KOHwrxq9pTeYbrfKVE5Q5a6Z/RXynuiyr33TuKYSqGYdh1tcPqteMxA0diSg6jV1NdeVUwuHMupm6ZgXUSS68whxJ3F6Zw7agDMO50LCcKoADkUA2PqnNbTbf8AFKgQrQtl6VemuqkV1NKiVYqy2R+W2hjGfc4r3+iZWvzGD5xa7pKh1BgB9k34aYPohNFWu0Pc26FPDPmpK5fEKfZMmiCBtKp08QdLfZoWjh+oR7tUOXUoZdXXpWipTCLcbwpgP+TWwVzvs1ioP/Qe5cjiWEdSj6WzlbpnCqNcNLjuVR4eDekyCYy2yso7qaZlaarYKmk5Ppus4N6Udeok/RVG1MO5lGn6Xu7r4HD0iXM/Em4tzjrpdk+k2qG1BcgL45te3dyD6dY8pu5ysrq2WpxW6vst1ErAMnu7KF6UGteX0O9MoRiBRf3Y8wtVItP+lyNSq4NDBcuKeylUmjRsI2OWy2W2d87ZXPm3z2W39tKdxzFYZrqLm9OoSjg6FMOA2pwnVqeGbTncLmVH39lzHUVymv0x2Rpajq7p/E69cx+EFNDHKyurZbq4uvUpKk7K790SE7rgHdO4S7HSfwguuFR4Bg67pFtRXLpw1z/Wfdc9pExEqnicXRL30zNJoO5TOJYxulzmzHsgG0be8q4d+6s8rpqr1K4lXprqpq7FZ0LorFWqArQ8FVDhsMXYaoLyV8RVfBduF8G1gAa2ziE2rXxEg9iviRTu3ay5j6o/IrS1u3dfEVyXlo9I7oM4Tw002h/t2TXYqppcBcIBztlutltldSjheIURUb9Rsvi8H83DO7+y1K6I1QmfaEvNGjTdaO6JF/zXpy3y2W2U0KibSq1Q0pwdTLjGwCfg34ItpNO8LmU2x7lc2o49R2Toww11LOKOGAGh34ZXw9MEM/xC1vENOylbrdbr7yFIqavzUPaoNlMLBYTVdrSSplXz1NN/eVGFx7iPZy5OI4g5rDu1nfKTnZXVvL28sf29PCtMc2o1s/mVhcE/EGWsEu7L43hdR3SOsO7rkUqU1HfSyLuIEQfZaGuH7rUZa0IuBa4/4o06FD5pHS0e6a7iz4qOPpQqX0rTTXWVdWW8hRBXpRbH8LpBlcsQbrkYzF0reppcv61gg5j5kAbJmJogzO5VCvQxHQPUEKBc1595TRi6QeW3TMNhnNDe7UOXTAKs7Uuuj+y3IXTUVqqu6VsrsWysvSjp/wDKLCz+E17q2kHey53DXdDBHV3WvHYgio30hip1CCPcvKLdMP8Awnsm4XEUf/k3uvuS32K01MUym4+6kYgO+rXK9YqecvUr0p/VbR+a/wDwt1LRKq8OxLAWvbt9VX4Z2a7pVk1jti66wlHBgBnKBy3y3Vqgy2V2IOdZc9kgjYrVXeDA7qrTpNDXTuEcFRcJj1e6+FdDnD1Aoj4Rur3QxVbiQY1vppg7o1MfidbZ6Y9k2hSrNmPTOe5W6srqCoNj2URb3VUUn6mUabW/kVE+DZblRlurK6srZ7rfLfK2ceYD/Z75inTZqc4w1o7qh9o/tPULYIdTw600m9IENTsGzDkvPeFzMTAeF8Qf5TqtWek2EoChVIZ9Svim1NQWt9Kanay/qGMsz8LEG0xAC6F1OOWwUtOykrdRh2SuujdNwrcOTq9Tl8VjcO7WHDqCpYplbTQAsIX+7b/Vqc3iL9D+xen4jHO1u3BXNbS0tO5TeKmoXMb6r2XxXDMWypbqDSrhbLbKxW+Vs+t8I1X1WiN5Rq4auHCepBr3y32XOn5RMQhiX0honcovq1dVNzZDuwTKNFm+x7JnxTg4HayaKUSNoQfTr6V83Ga89stlLHwt9QUG35p+OfWa3SN1Wx9WLmG5RKZwD7QVhTfTtTqOQq0KrXtOzm7Kw8G2UytD91ppzzHGG+yIx1Rp+gVd/DcQHUnb/QptSlXipT3E3KfjsW/qcekL4jnGXKl8E4jl7oYZzIdSsUMbV9X0X3i3V2q4z2Wyhwsm/aLAfdYr7xv1X07LfwzCsr5St87nPdbqVcq3mhASh4Z8ceLbP+oYxk0sLeD3KDmjTb+Fpxr2n6EKOH4SHAbsbCOIxDSPa6/pTXRTlHE4TEG+8lCGuc781FSmWj6r4qvQB9irOsukSulquuqVYrQ2tutLhcBSSulFzoJC+Jp4Yu/0r4xtNwd3a5fB4hm5sj/TqhBHYrXxvFwJ/ChgcAJZS9RPdGngGAS3qcEzB13Pqvcz5jXov4JhzTk9bZsgyodL+8rVErpML1r1LfLZbZadcJ1LGPc5hRw9Glpaqgw2HIIFiiOI7TYKpw7F4gVREhjijgcfgNGFnoMr+n4PEaGNb0EXTRxOuagGxauZQq9vxBGm7Fi5VldquCt12y6SrtXzaSo4XC488lw6mSrZXV1ycNjebQ/6VW6DOK8Ic093NcunHGm72e1CnQ4oHuds1oUkdpysFZQ1kqcUyf8AELQ+qGOdZqrYjDYpxFX1NlUuI4bGlhbuPdcjEYgMe4bFOqO4xNFuzU5lLEc1hE7bJ9AUgHzBshSI7KzsrhbZWdldFxdAb3J2VPgfDamtmH+8P1WynK+UZ7+KPDstlZbrdb+UECgp8uVBU+OvXAGo1LqXLVWc4T9VGHqS09zdOqDFEj2X9QJJqfVaRVACayo4GFTrUmz9E3GB/KZ3Er5j5y3XqX3i6nr1LRQF1NVyNNrLo0Kberujwvmt1jcJuEpUwW/ihNqs2aOydTpUer8JQweOw56T1lPxWGtAQfRw5exxhxHZfG4TD7M9lzcTiRScLOafdB4Eg3DmrTUJI+qtVuul4W63XU6F6lut10ldZTgdl8PhmW/Jf7NieW/ctVHiVVp1z1fVfCUhqEfsnNaNTT3K6xpazcolj9TRum47hmM0vmXBNo1amot75bK7FYqzlsrtWyw9ajTh0X8MQoTeG8Pw5fUd7dkMbjxzMUfftnurL6ol3dCriGzpNijTY+J7rnVKr9FMLnYjVNIdN1y6DDb+UcFQ6KrB1SjW06XsMyO6AqNvC3Xqz3W+eKf8Ry5ENIXzLk+p57qYWy3W6ictvBGW+U+Hdb+ePO2yjxV+E1K/Q8SB9VpmwRqOaDCc6lQ6RfZGm86afu1cuC6dlzHCZ9LU1vEqYBd6U92Fq3aJYAm4irVjQeoKliaTupnS4KCFdbrfIMZb6qNypJgLpTqtA6Xe8qpx/F458uPc2QdhsXzS72cqdDR95aZ2XwTjMibIDG8N52o2uudRp8uRcQnUMTR1UaosIsuXh6A0HsmVXUeW4Hp+qZQo1C5u0AqKlGSpa4j8l8jFn9Vsx36KPhGyteJifYK4ytlddIsnuosGuLEo4vG1Q76AQia41R6U3FYN+htTcFYhmNMilckJx4czVSNnT2KNPV8s+mO6MGHDdcurYhWIIy3W+Wy3UrD0NALyo7eFmEw4mpUMMCbppg4l4mrUO4XqysF1KApUOFlywI+qOhs6Sn02Q1xT6tYSEatRv5IcWp0of+Ihag3tdWbdaSc4nK2Vh2VLgbBuZerhWhbqVtnv4JnKylXU+DdbrfwX8of2zOJcOeW1Wfyvg8W4MxcXae5TsVjG6pFmotpM5VP6L4KjSEjuhVeyGgI6D0ptOTqF9SbgquKD5ZcEr+n8OJ5Rd1rkU6juu7pQKghbLZSVrp2UD91piVJRY1qOBeYb+JU6VKp1fVya/iGJfpcehoVIjDt5cXd3hU34ERF5cnw0aWey+JwJGtloQc6jf8SbTFKH9pVOtgKdRjWbubshg+NfIri2s91zKRDmkS1zTuvZQtT91bKSVAy5dJaQjUe2VoZTjKpg3CJHSfYpor/MG1T6qrVwdXTh61xTQqRYiyFQBa2i61Ndb6r5rEcKzFs5g/AXXWqi4EK4VnhX/eUa+OxTPo3VdfGNZFNghg8X/qTiFK5+5aQtpnKylWykqAoReiQgNO+6AY3uoc2WlDRYZS1OpNeNTPUMtspKnUnYvG1wym3ckqpi6HoZZpXqXqW69S3W63Xqz38HSpbTP7L0G/0XMaw/siwo5b+cFH9rupG/vKwnEKr4Y2oNTkyph3ioxzRdGo57WafdNq03aR/kEOHYTH6/eEXDEEOj0lP4WWgtDUOIU8Y5jWn0goWg9z7rU+7lpLYjbKzsnEuQ0qCICtddf6IvedgnVcNitGtfH47itTS134VQxlE81lCPXuviap6tMQF8qqbJ3xGIlzrkFBvCngSeppCjiFBhPuAm1ANvZco9be7XBGtgRyK/aNly5dVw4ds67Sm0uLYc4eofxjZDG4SpqpnutLe3dQpeoCuoZ23UU++60juozgrWGptRzvSg0bBaUWOULQU37RcOllWmfmFnstNDiJqs/wAal1p4nwou/wBK08M4Npd7uRZ8Vymnsyy5mKxL6n+sz4sNw12xdJTMPSZDGN0hq3zuoCuoC1T4ArZQtPsoCH2q4DiHsez75rUKHGMPzh/1Ar1nUz3C1fHk/oo63fkv934Bzndi4qcbiiKU/dBHQbe2V898py6Qu6hy0jL0oHQr0190j0IkfiNv7AIeZt4oz3QYX6W6gHO9k3iHCftZhKjXCdM3C/2z7SU9A/6YXwn9RNWlRH3tQo8PweKczhmEdNdzdnIcFwVKLaQnH4fm1XbuVfir6tSjSYPltHdVOKYms6Vq7jZcnGVmgdgAgWNH5qQbqHiFLXBditDKdvdBsKWiMtbyuTS9KJ3C+Gd0tG9k7DYejMhPqVQWaDIkr4qiWl83aU6o75j31LAHZOGIpcsx0/VGnWC6RZa8P2WmqjSr0mvYdwVRr8MqhlIv+ZTVPh+EpQym2J91Df1UlSrr2atNML6lflkMgiEWqFdB3YqVqbuq/D6m1Rl1Wwb2nVTqKy38UZUbf8l5GVlbKyvkXvKs6yjPTlfK2VTBV2SyqCHLEcIqz0POg+4UKJUALdXCjwb57rS0Shqpfwvuv4Rexn8L4d4TdTUOlWCsFb+VsEOVTkjsFqbhHL/gitNbDPH6LTo/denyxCHm7q58iO3cL4vg+Mc2Ddk2K08X4eed+It2Kbw7AaqVA9LabfxLD4fQBiMQwVK7vzRraLlEmnKdpER2Ty9iuuWx/wCsJoJKsLKTupUMaocYXuV7I1Krv0UNs1aWndXRqFqA9k2nVrObT7tBUYWnDeyNV7OpyZW0my5iK1U1qarhc1wWhhuo7r5n7KGXPstdX9lpatT1qKqOpOmHQY98hkDlYLWMtKg+65ZVu6q1Gthtfq8rDcT/AANMP/JMxeBqh7XCbFdKvlY5cyqf0Wp400/ZQAparjLSVMKc7qFR+0tCn1M6Kn1XSMhqCtltlcK2cNQJCHykOlelH5a5zaV0JYg3O6PCeGN1vHqqJ1bFOknKAV8ymHfoiadPS73R5bNbPcKI83ZbeLfM3XqyGd1vlvlYLZYWlUpzQoO5lRBrRDQIaPopRIU7GUV+iLXwD9V94F0rZXK+qmYapq1wfotOHGyh77NUKStLVstRCutUoCFYLkO3hWC2XMpfqFfeUGM7qO5WqoZWii39VreZK0satbt1LhYp2DwbxUxj2wxoPpVLG4x+urWque8qPIgqOxWtSsJjdMOjS5RntlstsrrSUKnDcfU0g9TCbQqfEcO86miKo+uXoUmI90/DYOs3E4sWFOnsFT4pxV88wzp9kNKknKYRsgVIyuoy2WJ4dVAOqkdP5p+Gf+B8LZRGe2V1YK7VDVLqaEtH7IHSP2U2UKNK9Kt4HYbh+CqOqVBeoBsnVH1CST1alHMUh/dDUFpCsF/2ndGtg26X+y5OIpx9Y/td0Yco1IXQ8O/hxvGajbzob4dOWqFoNGV00FPFKbmgpuGw9Go5z3QFNLD/AP2V3R+SNSogxhgu9lHfutlrK5ju6gBAwhZbZb9kHs/daYU9lEIvoug+y+HqXd9Va7votVQkfTLTSWorUTZP4dwt4q4wjb/BPx3EqmurUMzOywsG0lNzKClSvzWpNqjcLUo+qw+Gm5dK1LbKPBsrBQVCqcD4o/S2pVmm9c+lxGkWx/mnCrxFtWq3/l0jdHC8OJwmHdtHqKFMOcXVXwTusNg3C4pCfHy/bwSoX6LFUYjrlfotvHdShZAhq2z2W3hNOrRDmxcOCOL4fRax3doRaIdHso1we664PstOxXTdX91ARaW9Q2KLazbTYqFstvPut0bqxUk901b+DfwbrQ58Sd0/A4vFta99TU0lD4PEsfbs/wAEwiVsukLbdVKTmg1KY6TCpUHtvTq+yaCLlCi11u6JJiEcS/bsuWFtZSfSFbKI75bIK+RxFE3aJj3TsOHCniGOg0yVYZMLq+lmnspY1R39l1WyOM4lXbSot3Lyn8H+yrSxmzsT3/RGtXfre67nuMkrdVOFPeNWHqkjwHIogGV+SlPpEosn0osn8l8M2C2hax7+HdbrdbrfLqld5UDEVI9hUP8A+VrcN+5MlbLC4PRYOly0jsPHgKFf7vFVdDnFAtNiPDssSP38oGEBI3Qghb+Tun6ZXIayH651r59LqizoWsML6X5bK26sFcFF7Hb9lynFPGm7RZaSNsuZ8G4tiZTq9N0FmwhacXQgdjGW+W63W6mVc5bhbrdboiVutlshdC6mctlv4e2yq47l6uXUgrm8OxRDg70pmD4q3l1fqi9u0dkLKVH0RaVC2Rpltn2KZiGM+U/utvyUnum4Rgud1ywtb1yWBfkpRcey2RshZbfiW2VQ6oimU/GYKs6nVbUPUEMD9oWgHtWaudhcQ14I/CUKdSVpc8kKXO0x7qaO3utBbfsqzq7nAsu263vK/TIYN9T5WKbDp90L5uQT6rvwtJWKwGOM4fEYj5R9uyFTVZ3stVZ/STunY1mMpmBcalWfjqBNP8GlVHYHDuNVw6U/GYl8vqO8j6qticfWilTOwXLZSe1/ZyOJw7HYjDH8beyPt4HViLUmqfr48FSpv+Y06wqNZz/nU26awynL2VXGYl8U2N1SVieIg2qP6VChb+QL90AXqR5WnSvu16EW8trmlf1Dhw+X+Jq2UKzroa90Z2R5fdXPdU69JzTDYqsTKFMNFHE9vqnciC5ndqioII9wohbqZXLfU/II4mg67Pwo0aTDqHqWl7T+y5jqTwD+JzbK5H6KxW63UFbZGy3Quhdb+RxPg9eCdZdH6J/+IdEoFv7hDBcSquc2bFNq4d8iEf8AyolB4WoZfkVTxJZ1N7rkvHp7rmI43Eb9lzXbLQFrO60rfKHhF6CH5o5V6o7UynVPdxUFB/DeIPaB+Emybh+PM5NYW5v4ShixUDy8S2Ch8802Of6WqmaZ/DeU5oxI1U97p2AoVg6oXQ4BWGbcVQdDqbpaVQxlOpLgyKinIkFAyqjQ+K9caWCVJd1TMpnBftE/VT/BWVeo6uNL2Dkva7dEmq8tmw1KylenOfBdNwvD8M573GxhVG8QjmVDK3TqVak17D6mvTuM/ZWly6m78ONinUMRScx7DDmuGeKr/QK/hhAe6OH1yKLNKFYv/wBnq2qMTMbhnhzHtlpBX/8AxTUrtb/jJT+GYbAmqWbu7L4Jh+Hw8XbT7rp8UhQfAEG6u60z2ynyNULbN509tlUo6QWal8qrdagVK0laQ1utxiStHEafNe72TOLcCxL20n+qiUzG4zUNJloXIdT1T7rVw2gGVP8AtCg4w81u4CfhdWrQ6CVYH9EzEMdDmkKk/C0+oiHtjdVOI4ynrNb8DtgtVfhNJ31KOC4E5uHcy7WhnqTWccwRpavS73W/g28G6HUhfK/iZjK3/CVzor/RNxvD3SKrNbHe4KOHrg27qBt7rl1Hcyj3+iHw2J6u7Sta0laCtf1Rb/kE/DO3C1gdVP1oN/5Y3QgdA2UN39lrqrfdaj3XKb+qhvZbSnWQQ/NQoWLd/wBm6s3upUHZfEV2RTZeEyiHQxoVCg09LHrn0RYMu1V34Gu5jS6IBTqjyZJ7+HWDrwzz82l7fVNxOG4rS6hdrnbI063E6f5ymYanj2vLzEr4qrxBlQx0sajiKjdNJtqVNSd1pcm4PEYxzqQ9LCVHiv4KPDX+k+pNp4DCsAbYui61B0qysdlIRx3C6Ip4yne2z0/AY+kadZh6qZ3GWKDTeFt4qmLq+ljCVieIk+utbIcD+0NX/Zj93V/wXxZ+0dAtjYG6/wB04l1PC0vQQY1LXUrS7u4qXFWcrK638V8wQUNdVRrXS9b+VZPA/wAU/EsbuV8sw4IU6o1fVDU8BCjTu7siXsv2WuhVuNgqX9RIHVYJtJg6oug+d181w2VXB8C4Y5wd/wAwBcjitY0Zd8wphw+E57T+PdDH/Z8aHF3zGKm2lhudWf6i7stWIOkxsiP5TqVei2pSa7dvZO4LiKbmV6TNVN0KvwvEU4dRfE++c+KxVz4LK+Vl9CFS+y32oqE0B00axOyGNwVZtQOHS9uycyqw6R7LU39Qufha7qb/AKL4XidPmNH4gm1Hv0e4K/qGEqtfT0zYo0sPUBc07JrapTm9nhaj6K9nLFDHvPKY75QHsukfouZUC6d1rPdfLdLuwTeG4CqH4ms8cwg+lYeu8yX0ASj0p1kE0Z1o/FZQTkMTifugVpw1qYUTJd2XxD3AQNk+hReDXqCIBRq1Dd5k5zCsrqy6XR+RXqn81KkuJ/Mq5W6nwb5yfDTDu7bLT2zlgWlyloTuK8LaKfEKQkFo+8CfgsVTNOsx0Pa7sq+Bn107T4/6bRfFbGGIB/CtM+CFut1dyg+TutsppVYVq66nH91FWVD195/K/wCIH7q1cK1QKWqFuMy1Pdo7eyeydipXqX+lVa+IIHtKNHE4mWMKbhuHw2rSbY+6OHx7YcwrQ87Cy52IxAa321I1K3Fmj6FDiPCMYx4fuAqTOFY5zZdtNlhqOLcBUsaqbRw24auZUHp7I4bDNdRZ3PdAvcY//wBKvxR2GmpoOgQsXjMfRLKj6pt5QQkq2e2U5XTcPQrfEYUG9GpKZR/oYoTu4Lm0DM7wV9UWEKC1Pw9HFEscPSSvj6VX8xKYzHu5dTV3VPGYV+vR6oTuRW6/8e4VLDOq3qM0/qvicQd1opwuo3Rdj8fTZHbUn4PgTZn/AJp7J1SnNaqXSXLDYKvhXOxDWaT7KKWApfq5acVwkGf8Sm0saHUHf9wTa3D8S2qz3aUTCCp8JYbudqUIODehvqcUKNAw0Iu7fRanbzZNZw3GGm6L6Vz+IYp1V3/crZboguRurHPfwWzjK/kYbGvPSH9Sp1qb5a9sgre4UOVlqYoK3unfavgVCMRR++pMHrHusHWqO0tqO0v/ADUjv4IRxFd+ljLuJVau2p/s+HeadATuPJjUt/JsrqBC2UhSF92V6CvU4LoruX3q+Y2QoxNBfOcGq3EGN/MqaHEKZ/8AkiW4hn7p5t6fdVTHdWC5eHp6jC5uJgOcO6bhsNW6fxALU5wZAuZVX4Gp8umPWv6tjseGfT3TMBQ9LzAcn8Xw2Oc97G6nUfcIgggjdqLGMmdghxPitKIPQHJuOwfrbuuTQpjUpxuJkn8LbpjsJbT6iwL4zGfdMPSHBHi3FXBtNtmsG5WI4vgmuFKq6WB3lboXy2Wy2W3ghaZj2RbWf8rsiRZaX/upFwrrshXpmHA9l8FxCoXUn/iRxztBtZwTsfhn6SHdMIYfG/OY3aSowXCmtP1K0Mr8qf8AFfE43FPe4+7siD06kKmuQ76qQU2mDZxjdDAVRI94TKPDcWeV+Jc1nWIuAU5hqct7Bdjk/HClFKn6UKcXTeGUqAafxPXUuXG65rtk+r2npW6g5WUnwzOd/BK2W2Vlsp8H/hD7P4ypFfD+mfxKw/NSFDspZutD0WuZIIggocY4ayMLXqcykR+E+ywnE6b5doDav55BQFCP2Z4bVnEYgfM0nYL8s9/BOXqUFyt4J8QKCE5XaFek1WYFGy+W66nDVVLcMXKa2Ce0f6VoLnNUU8W6Po5QOJVP3UV8W9w+qmoy53QFMQnVKdAAkbkIM/C1ObgqTtR7ha67XkIVa7Dq1ToA3XOq4eoygPuqSZXwuDe17DIMKnRxLevklj572T8TiavqfshUe2mC1CnTgx2CdQw9UMdtDkziPDqg6ruaFyK/S7veEDWxFMz2JTsZxHH02Mb+AG5U3ZgqLvkUvf6+CfHut/Bv4xyKpj/FCnX6aimQrXC1N39lpcSF7rToXJ5zuX/jKmVI391BJ8GqVT4ZiKscww2U7DY2kWkek+6LPitPKggE7r4OjeoLEoMxbDdczh9SWd2ko47lgO76VGFq6KA9co4kP1HsSt1rXMd+ifUe/qWsBXC1SpXSurLZSPBErpBQL1pjw7+C6gOW+VPinD6umrRMj6oGlWDMYxsVaJPdX/X6KWlaXLdSzdcs/uq/DcSzVpGph+qf9n8ZU/2d9QiT+EqWOkHaFpPZF6Op2vHVR8mkO31T+KY6prqVTJK0hvlbr1KZy38N8t0OpTOeygoNQzjEYdjvzajzuHMH1bZOqYLGGkO11ym4ptT8l8yV01N00NqNP6rkUgNUI6nIAskI1gNuyczDt1ad7bLQ6oGuB6mlQwFFtFjlGHZpWmriHKXG6p1WviHjZMxFSpFJtO7ii+nXLKHMiQVrp8UqRUb8syn4TiuMqVi11tTrKfBHhnz2Yh7iAD2TcPruB3WtpELoXLqiEYzuVCJ8ELXTs9hkFM4dxh4p42mI1u7rl0sQHNPdi59alLX9019Nw/NOD3p1PUYlcttmz2Qwzmw1uysFpB3WloQpF26GIItGdwtYFlqjKKNJx/RSRp/Nf7RUH6KNJK9JWpphfJuvmdlDVEq58G+W6mVYrdbr1JnE+E4p1Oqwzbuhwvi9QUMe0dzZ6uri+UFS3dNaW++oLEYgMhzh6Pqhw6tWktENlaXP23RNN8Ablf17iGD59SnRhpK+Jw33dR3p9sjbyZyguVjlMrfOct1urnwboEBC2ViidSLmyfyRp4RjtLlzq+/1WmuYCkVDqhCph6l2lMPEBp0iHfVHQZate4RAp/oi2nTPNeZIhO4vxDDu0ubZvaVTpcO4dFMfiaFEKYzDgm8K5mmm21lpZ2vdNwrjNWkbJ1Wjf38e/h2W3gjx2C6kH0X6XfRcrEHU1AmsAfqVDb/9y0vaVromQpeLq+ykFEotz5ImO7ggTrc73XybO2aShXr4yXHsF01etu0r4d9TbZSK8RunQ+6v/kunI9Ka1i1T6V8HVoDbdF7FdWCgXPsFpa3SE1+LPMcfcKKDGtA+iho/XKGBGR+SuEKdFHF4nFilU/x91urrdb5brdbrdRK3W/gbVoVXNqMMtqMNwmcI+2HzaWwxPdNxvC8UyrTcJlrl7LmUzdfNMLTUqt+klDFNYJLdwVzO57rQ6vFrSmNIBY71FP4TgqTWkMuSLJ2IGMaKtPqI2Ud+66MM8/k1TT4NXI/0KTwPEf8A0XzeH1m/m1aYIj3UgT+SkZbeCCUOpW8Mq+UhXzsENTUIGRq1qrWN7l1k5r+Ihxb2aUWUsKSPqpwuGY1S9v8ACkEKx/hem/5LqaP1UPtK+B4j9270vlfGYVwe5wtpKZjK5l7hYo0ql7bpz8LhmVy7YORxONwJph97LQBJ+iOthBHYr0/z4OdhTBhGpUNybq3lbeRPj9K2laqRLSgyr1NC0jc7rpgrWzf2XUFdWCMjIMb3XzKY1O3TnudZoUzEuQlvMdC+MrOFJn0QfhsUZXJfVN1zWuQcrr81LQjWBuEahMyVqat1rWmmpfT1PU/wprOn2VgoR1FWMldK5bjH1QIeKtYjt2Rr4mpOrZvt4d/BvnbINw9Fzz9Ag7B8DrQe5aubXFGiD/k5DncWpD9Vz+EfaoNI/DqsUKXGRRfH/Ma9T2Qo47EQ5xgBc7mOF+m6a1rj0I1Y6W9l8TXbZvZFlMSNvyT8dUlwj8ITsLiTWw7Kbt43TKrOG8z/ALnd1FHhVIf/AAXTg6X/APGurCUj/wDBRW4VQd/+2EedwVrHH8TDCNb7McT6u1OovheNYEtj/mtHT+6Bnfw9K2XWxSxqvTsoIVxmFut1vkDCHSrrQMO+pXPpgWC0YvFkNOzGognqKv2XostLHLV3XTK0Par2+qEH81SZhKxdDfmBPwfF8V8l22o7JraNYVWj0lpTqWFrQ0Drlcig/oaqjMSxpdo6fzT+IY6hs7paVVgtiey3znzNv7CYzspbSIXqXWtJN1GRtkKpbZiLU2mx1ypKAbKbhXWCDA6Chr7KFpQBG262sFpAWj3QoAxqTQ4nqXJVtlLVzHXWoArVXMBdPUVZoAUwvl0/1WrFYm/+LUcPgfls9+61vlx9yr38xvDuHYV1Wo/ZrUzG/bPFnUf+RSQbwzgdFsfic2ZWmmNA9miF3/dbZbo/NWqpg6dd/wCD5fdU8biqOgu2anaNiE6ljN057ZDTOyc4ULqpiHU5LPwLkEcitN2OG600KjIHYK4BXUzwbp3DuK4RlVj2n1jZYjg9A/LDgWeDS0d0HPYh8n+EOhRoRHLRiirU/wCFIavShqCsjqXpUQhIQhGpVdAaLqrgOH4ejyqO73Nu5amfsp0yujf2y1Bi1F7QoeZWrDUgus3+irV6dy1huuZWdLj3KOqE2i1znUnD0O2XOoUAA7fSueCWzuEWfEkjsjg8fxF7Wz+ERKdSwpNSoe7ipjzreO+R8EgeCFsrocylPsjpbCgrV2Wqki0NkhQ4wj3K6gudUMEp1fVYImbDZavqviKzZJQqNytl07qJ3QEqy+IqDb3Qp4Boa9pTXVqcuYBK+PoU+j2Tea3rKdT1Dmdl8x0uUsELrf8AutDAvmYhon6qKR1uXLpnQ36Kaji4/Xyt/DiziGNOIDflA7wgZnOFDGrddZKLHIvqAPDb3VThGGwPy6f4h2WrC0jzAhxGrQ1f9spuJqy2TJYg7C9+y021FNxVHB8vEd3tWt+Imey9WXbONMQqnE+I1g2lSElYri9JvQTFL8l1IqB7pr3C0psMQstIyutl6USQF2XQ1RC9K9K2yunYdhPMrBTqufUQrGy6Auc94WigzUo9I+i6nyi3QoaLqyqNm7xClxvl/vClerZryNkeUQZbLCuVVB1IRfUYsnY5lQsePSZWqs/V+f8AeCy2W2UQohAEbLTSUyoLVdy2JlOdp3Qq010epMYdyUMO3aLr4ak/dGybhx73TWdoRDYysrqRuV8xBF2HozpXwlRgbUHZNqUm77kLkvpmeyk92o06IJkWTsRVDr+6mtuujsFNaEaeEZb/ACWurULv1W3lb5beGnxvhNcsq0ztPqHsviqDWUsUy1SifdScrhb52Xw4Zqc/ujiTSa1zRNRyHCuH0DVLiRrbsjwB7NNZovKDsTiNLQ+IWvDdciacKthONUzSq039Nuy0gTAVrFWVxlvltF1/6Ro4kHCAaqgbvKESPZXyDI7ph0IHR4IzI1LQCtRC2Wy2W2Tq9V8QLSnVMQ7WwHoCLhZXIJ9l0gNXLc6QVcKA1SWo1A/srKXvhHC0nfLYVMZf1THOHLpH7r6rCnD0tLY6fotWtuoKpj+JVwGtGq6OEw1UjCsdC38q/l7+LZbLZbZWWkBDQ3qKsL91LtlMhdFMun6IAgtsjQoDVdBtdliubhnX9kw1m7Iw3damO1O9lpbTKFavTiV6tgiQ06fddChy0t91qJyFKkLuKHPmSLhNxVB8A73TOVU7IVAJpoMiwQ0jVBvK0tfTaB6gooCSuZTG61Vnn8v7OyPTKwmNw2JcxpqAVQNiFTxVN3TUbIUzn6lvKsAp0ye/0R+y/BauutU++cDt9Fg6vwumsLl/+SOMpMNLFEiKk9lUw8zUgFjpVGi46qjReV8dQjVq2C01rFTKhbLbLdGo59gJcSVjcdSOphfDStsw4jumQreCVKK5TX3Qr1FYdlstlstkeyGHaSQL2UNZdF1SpeVzLoaQf2UhhVwP1Kj4hod/jKnFV2N/VEUTrP0Wmlh4/NGa2kHsFE37rVKLqQ1FNw1GoabWn5oTOHl4dUY33WvB1wHzsSjRxeL6D2CgD85/s5UK63W/h2W2e66lzKgj2QFPZXH6qXVP0lClhm/Km6+Hdh2utEwvisK0NMdlzKLPzKdWEnSprWKNKr2XMpOMDsnHEWP5Lrphy5jo+gWuoN91FR40+yNOlT6p7KandEF0rSGqGWXN1X7IEviVpxLNXs5CnU7JtKm+JPuobXjR9UTgv3C/20uv7rTpXKOUeRut1v49lsrBC2xlUcDzdGJw7YNM91MfvlZbqdSNTEYgNaBMuKfwz7P9xD6srmvfqebuc5c/GPnq0s/Ja6tmBcpu0Qi093Z7qXBculjmOeN26lLTORrcQxtNv01J/CuCg08OfU/3W36lXVjkJTQg2VIOeyd1BFzq+3aVzS7plNso8JKqVwIdpTmVWNcAbWXzsM0WXyKLURSeGj6Bf8a791LsXU/+6FQYl8ja65mIrOdlC2Wy2XyzH1Cqswz4Nb1uduv6g6s5zzZc+u5dvJ2W/mbZb+EFWHgjA4ZzgNz2Qp4tsQt5WmlZqDJOnuUOC4agI0HVUWq11D3dk+nVEghPZQpge5KLMM+wWuJjeFqrduxXyqYauo/ug6q8QE6lh6ErVU6APdctpOuN1yy7rRd3UOpq5Uhsrk1fu/qUKdMAAblEYKtMbotdTd0D2RfiCYJ9IUYaWuG+pOqvYNTdoRGW638jdb+LZTC2V1YZNx/D8QadRpsQhhftLQLXDas0boOw/FqN+zjdT/UqEf6183i1P9Hp1HhVN1ep9RZf7biixh/5LVp0qVoHaqpWyv4DKr1OHYqrR1unoK04XjtT/wCRWirx136LVxDG1Kp//UeoEK5UKFcLVTKH0TS5xQJUqVun/M/REajolD801DwlVf8ASiffLfK/lbf3JVst/AJ8GyLMBWAa/dGpWq3K63KHe6fTB32CdxN3qepp1IXJe6YX3sNCOFLek21J3w7fV3Tq1Pvummi4w43QrPE6Qops06Sud7LViMMLnumigyx9kMJSwjnVn222QqVDd26lW3RDkGu/Ei0XBWmnWIEXTagqmHm6e/8A7N0/WZBNlzKZK088kdwtUKPDcKFfytltlbOVspa8j8ioOJf/APZdX/lepWOUFYjhznXFwo8R9o3Kqvo/hOmc4ygFXK2W2YAKHWo1ozW/lObSqT+qNTEVjBO2TQU1DKJW+RhGnPq8N/Jj+6MeIBXzvnvlYJuJDrg3CY6lUE9wjGxReXlzvZP5RIeQgzGskh26FarOrswJlGp8qk7daaIa76oMpVLNCL3ECPZGjRBIQGMfpDTsgyk2SBsVzxhxz9rhOFb7x2y0umCg4e60kbqP5UOf6vdQNgoHdfDRHuVdSbhd0YUz4tlsrhbLbxbLZbK+e6tlurlbrdWKuplUadetDK/QZQIuOxzsFLrLTU4hSB+rk7AcMqanOEF4Kc57pc43Mq+eysrhbLZbZamFQtLSjNWyl2bWTF03qW6nUvvF61OpOPMRYHdIPkb/APsMxnGQ8M+CzlArFCua5DPqVy6tXUfogaM7rm13dloaPl+601LtHuiyl6R2WmhUcFy6bzr7q9U9QsE7EV3XKdqdJ9kOmCjU5newlAVfvOwU1GlpGy0Vj+S1rrWpGiBeE5juy+mRa5WWmVt5Gy2W3j28jfKVfLdGEKlJ5D2mWH6pnAftdV5NVghlcmxXxH9dw5YdjzQj8NjBXqfhDVNOtyh/2rq4rV/+y11KznE9y5drqPFtnstlML05Xy2yD57pvzf5Q+b/ACr1wP1RpMqyfzUmuP3X/ED90cPQfM/Va37nwX8E+KP7uc5lDLbxRK9SFBvdDp/VNwtArnAz7yvmXRB+7jugWO9O5QZgm9Pumiu07XU0KA+qdVo2+iPPu5q5RtbdOr032BXOpVLfUIjmmV8biJeey0aAPaEBRu72WrEvJe7Zq5T33UE7rmxZGsG2KkZSF61urZz5m2UeG/kbZEhXW5hBR4YKjyNlYK+W2W+cteVDjstLahAXNqOkn3XQ8rqquV89v/abrZbKTlt4RkG1DvsuS5m/dGqHfLCIqHdawZK+FpOhOIO6HNaA6e6JpvbfYr4enUmo5Nph+o9wFzWnRrTBTq3c2905uox3UMZC1uG+ydywdQan0mguhyBI1VP/AAi1rtVRc0991e4U1WxZO0tlSDldSFK28uI8UqFPgtlsvQvSvSvSvSvSvSvSvTltltnOU+DfO/g2yPgiFC3zlelbK+ey2y2Wy9Ks1bLZbf2UeVstlsphbLbwRndUmcouYy5VHAYZkat/yQw9MWG6bg6bBHdBuGuSNkKnK73QoUWJrar+snZfE846f8Vz9S1Mw0jcuK0i2nZUqLqx/dDFNqbhaCVIdN7Kq/FVfmPsGouY0Mb3JXKwZk+61vN8oVgqraru1lHeVK1KMt1v5E+bstlstlstl6Vstl6VsrsXpVwtlbLbxnLdbrfwaYWy9KuM5Wy2Wy2Wy28Wy2UQtlsvQrMXpUqPBv4N/wCy9OWy2UQtkPH8ZisS2f8AGVWbSpCY3XxI9ThDU7E1nCdKdTpM1BxnV7IMPVU03K5dZ7S89gnBjRJNpTcQDeUWaDELWxxH0XIxTIHuoo4eSUaq+AxtIupdnLm0sYGuaNiUaeCuyfUh8TW1PjaV69LfYKZ/NEFimMolSHFTlBRM5yr5b/2lxlHg2y2yt/bbKQPBstlt4J8MlW8XpRMI+LfxbqPL2W2VvBKHiujxFxdy+wQfo6Zuvia74ZTFrpvBuG1fW6BCYcRBrvbL3FcnDOBqFfG4t8yhVaACudUff6L5rVFGlK6aa6jBUMZq/MIurENWuhVk/RFjamkfRaqhLj7lXW2WkZwVK0nPfKMr5b+dbzIUDKwW3lX8e+d/Ft/Zlq1eRv51vKGR8AdEwV8GGaKjbafdF4HdGjzoEI8cxdxT9IPujSpuM+ydiMS1xnayGr0lNo4NhlvcIYDEUnme8IVK0Cy00WBEVWIu2auVRu5HVVIHst/ENWxWpuUrqVgtv7GfL28d8rDsvT/C6W/wohb+dut1uhJylGyt4JhW8e/h28BaFt5lit/EPLnILdGFfwNxVHdNxuI3eLLXoiEKFO0brnYt5KkMlRTaA3suZVoh2r3XNo4NvM7FOceyJLO/siHo12jdayfINvyXJqKyko6VBHm7eGPJv5MoSrL0r7tH5aLgFBHg38W2W6tldy9WXqW6kBbZ2/sCif8A2iypF1Q2CBIX3YUDKmzVbVsmtAtCKe11wpp0wENSp02PIb7IX8kQr5nxbLZbLb+7CGVwvSj0BHoCMN8so57r1L1L1K/9qUfEf7AWWy2y/8QAJxAAAwACAgIDAQEAAwEBAQAAAAERITFBURBhcYGRobEgwdHh8PH/2gAIAQEAAT8h5PwmS/BU3CiZAFiLMmYqNwmDlk5H5VtEBIpJ32YwxAQ0kqELk9Ba2vQle0Q/lxSdQba9AzXEF7vSO3w9E5grK4cAsTa3EE5vgxrf/DQYVXEex+CqZwX4MBQKll9GMW802NyweMG54mC+fFPZnBWKKIOAEyZeZyrkTUfzlJfhwCZIjRbyVIrKLBZsBzPAblCogIu1pQWDPBiixmp+Qk/Dca/fg0V8ePxWwjI8uEwkIVlWB+SI0kX8zwi9NgtW/ErijxMMmWIWmSKtlzasWJ+MlBxkgGL8+fILoMFiEGP8Rm3g17GjVZhhR3z50d3jXIIJ8xjwgokjSNEUpk6GaVmoWFjUZhGQWEMNQgWqHxnILKDWEIlCAFSeEOeUdkKcgpx5P2J2U9lG0mJgZhgguhXIZDQxb+Q2e8gtBaRRlExXzGIQVlStBkyg0jR6HCmx+ieE6QUd470IouNche3eOS8PW6Lw2B8WEsLuegeBeB5toVmmI5YraE09ndjWP9Iq0cVSYpkhOqg1mhRa8JLoQrs4BLg0bYE44y2OqF9IKo1EVxDsJGoUh8bCStnA2TnIpQ+T9AlYmzR+GKFUZiLZknY05vZELxSQx2pphakeBB/iLGf2cZijahgbb2YSDWOgKaCbkxBkmMpVsai2nk0dCSeizBgO8qJIayz4SaHWYobm3JNw5vyrZwJLALBISS0EzGALhl0iF6o1FNhtRWRaEWWTSIPNxlwFbCLocWB0wJZs9QLbJhjJ0D1R1vFSWCDyJexrD7G/oQnlsvlIdXRQWoK3qjq4HJVvQ3F0HWxlcDdRwz8MFSCzZRzDGNRUsBg5dlYLsswT/B++S5DZL6IXofxpGT4MhiFoK0IEtg3mX5I4HjN5EWQ9cF98CeMCUyxqQMi2aOOEk2EbD8FcxhQ0LI+A5TGXA2wqbL2TsD3h4aPHS9yiCpC1KMUmISwksNmimEirEg9QnHkaMViYjK+T8Dorvj4Hx3nAVhq6cKyelKWfkSjj/o9N5GieZT8Rs0QpfwKMNE9Ivsqke8bzDH6rHqFvkQ5SGrg08+NjH4BMnoWoNTyNbY3iFZj+FQqEcoXCYGkK+R6ePBaZYlwZsDo0guAY6ME5OTQbngYr14koonE4GKYkjJBS0hD34d7yDEOwVsVLKQlyV4GW57ZAqOxTbsfIacoyyOOVpGq77HdiPFGJ+CKbcDeAz/ENV/Ys40Yk3FKIW2DXog0vaFUkQe0R8nBIUK9CJfyUdTHAhZwWjgSBQ7xdEStBrkLe8Hs5DOUGjVQjLLE9DdB8Vwwt7Gn2UUhkO+Mzk6j1ZkxOSVlDFyc7Y0eKMb4GLNMAVrzGbE1VogPSaWy9mCKnI06MUdRUYwjjeV6EuiFOjsid4Bzko5LiPA0VavY+mq9w770HSbU84Cv0r5Gar+m1/wBL5hZFNSCYmJUkK2QiMRLkXsTLHJZGvL8C1WBLuGTH+Dex+AbIXTAQpgxq5HJNoVtZDRgJTEPQk8LLRu3w0ItDMYjAOlonekVtDZKsdtwZiXL8FUrGMitC2U2xi8jNoP6MmY0QQ3klvCGQVoeYOyZgLBeaQmqLqsjfBOAECPSiPvOgSwSQxqdZEyGh+AycRkj5ctljGpKB0c8sQkkuw0JRtUUxRVDAmPDhWUis8PZHew3pNZGDdqZRyU3kQA1XOCGhoGAY0FwG2ETwxE0WDNcBwF4iWezeg2M5Qq8C5RJYdGp7BhlMDRqImA+QzQzwi308Sbo9/gfgVZGW19ldMCGuRgWjZlrU37MdbWkLzEuxlsVQX4D+uTLRId8DTnhU7dpOJcRzo7BHl/CP077JenwJOFrYhnAgiR00QzJFeDsJN5E9jXZ/AOkk0hHqMKDeVeyZYNCAagxQy2LEqjoMkHPLF1Y2wVQsv9KB4orfgcoYlNGNgHiCVKJwKKMekIig7RZovghDl4MXD8CNwMa3T4GryQlKqk1/6PIpZGV2KeBkK9jnZokLjvgWwO9Q1DG0Txm1zTkTv7yY9wKsP5FBEm1GgprG3KcqpjKEZWZ7gBeB6qT7pjlcDGhpTbYShpTBn4qrzWxJhAG2ITOBcU0I2dk+UXgYJcexdTS+mN8hd0M5C1QpydwXIbBgj6M2ILsMoo2xsVMjoyUWIsraY7QOY7GTg1bEkdIswTjEGQjoieWekayg5Rsjc6zk3frWTBLOxQlT98AHBuqM+6jrm37FaPkQs3Gf1gNAH8k6SwvtVNbfZL9DpAz/APIyaV+AilvbRRsbdmC/8KxJ0opi3TRYEa7QhZHGiIY0JlzwZmCWiuAhBBKyJJoiUHNER4TiFHkibFlkqYtCU6XJPBaHDHIhP0VOseMpYKRtIZAuhIITsPiO6LAxwNuRwHwG0l9uiaFBS2M50RMIt50MjqPcJs+SG9lWIvodlKy0Z6zE5zEQbJY1HRutDXYm8OSwL1bCGLnLPjoxvMfjeziP7G6PPsk1Pej4VE0xySH222WQj+1BtaYy06KrBcgim4XENgwAYxd6XsT5r2Mn2j0X+SpIUVKonsKswKefA1UNscIys7E5gwZ0+AuAcONlRMQ31SijvBW2Nk7Bq7QscIogpvFlVaWUmvg3I1ZQqJsSZIx4y+BKa3FCuGryWyGT54LdzRCDqPAopIwUzT+EPxUQxpdjUrWjgUGfLFuRmy2MCdscUSaM25itmgQGxUk4rGSwZA/Y6BUzbA6Mq1RhamzKMQgZEpGNQZCjkhLB7ghoY3DMXo0CREQRowL0yJKT2I7IYN2STPcOQ/oYg06GzKQ6WRpwNwVmIatDMKJg74ViDsDK8GbY9DQyxFSeLTkPKsGCJkdwL0xuNOcj+QmiRtUOsKbiFNRLI9Co88qNxyNSLhCO/YSXNdjUTdyb5Cm4SjpmDap5RaMWmzO8it1sbEB6a+yG1fsQO/scL1ch5EfIQFfyJzArsOFGEIyEJOHg1p+icq3ghiF5oVaGnyje+QU9sQ1k0Ay68McmWs1JoZ9HOSYEs0LUCngYkJpiUNGToHKrwc1GMNjozYmGbAvkHKMV2f3JlJK9kC1WxJpq89CKN9AV3xlz4M+YuyKp8NCmivoxPg9w+c+IwyRrpnv/AAZkW8FUJ65IORAU32W0bAjsSM5G2hrwU8BSNQ3iEyGJylSrMRcisGxS8RBSjKDWX4Dd5Ck8vI4macix0MNMFaQlgs9ivkV8+Cba9FeRml3kw4Noo4bHZCfhG+mJURKBd0h0RkZvnkVGR5wI1FbGgMH9lmiGKhSTJHHKZogaCirM8ZehMdaxkXOIWUJk2PTGUQ8wKjKWENtHy0Krwa5irZtv6Lhoput2hmZyMoLVC2DGLMRNEDbXIts3AeiqynkdrPVcZVJtD9vCx7HkSZFnsXmnowItJP6LUgQYUerCimqn4RlyCm2LENyJ4GBtIIuCFs6kJOAdAtdRgrIJ4IMNdOjigy9/Q1XJekid3DhX+A8WuiZWfklRTAC1GTkRdRBUfBkatESqoZ5i3/BJjuC8YDY4IE0h+49wXHAGDTTFvJEoxtyIM14ORXdcaPcj0vATN0sixybgdUhzCoSjxYwVDDFAnWsQImAYAV7Eb8Iw7OAzBacdM1sqiWUBswMjdGFXkZrU5FU5IfyJOjEFyRkIKWozIagOSxcAxmxbA2fCFTnCBa8svwicUGpEgp0hPIhBd4tFkjRYoz4TQSFYCqEKnsXYdrszMyz/AIKnswN0BlHg/gf2WEY0ELnAkcou2z2UdGwB+8QnAca6Hgeicj2fCAWZk1Eg5aibqGTMTEgxDJCaonqX9kwaGeCaYiOhsSyxNp09x7DdKoW9kMWWBFwHvQ/BqMVGWJoSXmjk4Z+gQ0s2igpouyukXMFzUVmWBKauxVP8mUS0Y0X2grksJcQd3gCaKRnc3UEjb5FS0zEZZyZU6+B4nbyLon9IWN6OyOWHOYjRS34I4On2In+obRcvkfylwC+yjKE6nwBLyhoZw7Y0we6/gsKv8LJn+C0/6CjBbmngMRXkzhistkJvw904mMfAiR4J4K4LHnwFSG1z4ZEg+TNgjDGhiCFwLZA9OosJh2smkw+sHpyR8iwZgk3vxFlgnEJcu/DJrcPcewUyeEYccwZAlW0Uc6G4DZBPLRllomzy0b3GInrwJNwajFuA3yQyZmqYt08cq2yoiOQnJRsXacD1pilZyPmEWBTtK1BWEyydCz5ieQLyomxzP5EhGSqV8kG6HVEjeSypC509YJHUPH3DQOWbwajMTYuS4Tk0ZYthGBu8/B0+wv8A9gSWS/cSlV+j+lpkZ10K7TaFLNnyxJTX0J1p65HGaDvOei0uQISMLmdCmUCWDwlkLh5IxseB3RtENWkR0jAXRvXRc1DM/uKwQ3gZ2M2lGObsIIeGMOMyxiPQi1GTwIqVuGji3I3zGoj/AOGK0cUkYJBLaFAxYymoV14EHlCdiZwWhtpmLKjg+AN2YiYmCwDMdQSZEFIPeo3MFtohiSMFsTnYppGY2SnhDmprI3QI1gjFnYhKUwwJWQm3SnBYS9jLSohThcmqLmNS4E+hVJ4qWNqkEuhKmPQoSGBjbRzIP8QUmBSSo+EGh9wdscwb1h8X+Bx3vsrbRNaFgFrEEibRLMPI25CofErgiYFbQwUomeh0PzGZ0XMCa2E2qirgm9CBUNey7CNpnyEvY8YizQqJkmOIehehK9iiXCGzRT4ElCoIRh6IfyOFE4hII+iXZBVm/YzL0Ml1OjJc212xkyQlM/gZNWG9igJRraq+BGIPwjN3HqL77GvLOJDqcr2LGOCIWzx4QuOGVJe2+RVkn47oGxghK2S+TCECFLROmaco6oUzjZ1Bt4xZ4KWRvIpvIZPQ5jnAtdwOSr8PR4R6JsbbGcu4ezGwieBeAVhUCAJ4aFSoY26x46a+H4Y1qK19vEHPAnDfQtGIC4Dpf0KdaZ7BNBSSMfoKNj3KGnrl7K9KmStb2TQyKhBQh3LzvogbdFeB4IKIa5Cl/wCBVrkcZfwWMjmkr2JyNnwhZILmFLXAwZb5yVTCYyKZZkruJFoi1ohvYjVYodGMh2TueIZssQwYM8JzXLJbf9F4RWxZljMoekg5gN1oZpBsUiJKwkijPRe4jsU7bGOggu4NTqMRnzcweqhHyiJ7/gmcY3qRD/6HxDXKKgjlZG3yZk6QLaTbgxtzkbGApOj7EITaMKaMaOkrEYP4xd62LDpKjaGV7D4TSgeOTehxZtaYPwuxtmHZm2K3GINaqvZGm5SqxZKRhkN7hRBIhiR7dSL6CHoKhBwObQxIFtIOghbZQfWkux7HBiLmRLQmovizgOlZA0ieFMvBRrw8Doy5wh/wMlDOOmNRfzJxgmMw2YASrpgNxIW8j0FGQVczwV29CYih6Ee1JcbzZNk3krFvYqHcZLew0ZuDIf1FZPBGqHYGN5TJ7F7KIVmxREmcjQwu2mx4vI9BmBpjzFtGv5Mxm2y2Rmu7JLkLZcBIrgm48CWRXCO2ebQQ5R32vAGuQymWh5koIkwpuLkjPO/wE+LP+BCJoziQWy4PcG3R+3MDQbR3Gl7QhW5TPwhyW0Iyw1RNIUhLBf4YFqNAStofmFXQp612g2osmT8eLDBuE1fEeY8bKjOyZwcoE4pawu4/4ZYnEYoSDpU6g9jBogmdQiKzJcz5x5MzkEW4izQZV59UW+RYL+PDGsT8Z+wsM0JMZp+BlBT8EjSEO20hIvkgyr+Bl+3sheTe/I14aNDMZbrCITXytqCRipNHEijDZgd3ueHq+b+OcKeB70HML6G+E2ZlcjrogBIWwQuWor4Qg72ISfeR1AF9saA98D1GfYte/JyBBkRbH/Gh3vj5PDIawLwe0GxRTghlKPEFsdi4qOk2Rk8CcmIeHmF7jgZkYEV9XhoHOoQqIV9EYkfCGSap6MdliUUspaWhf9vN9Qk5OLAmTR9CowLptGNFgIlG4ETEwsVSv4J5xi4K+cnwzNEJUQ4ZELXjvTQcGSBX14tQMMwGUGmRVpvw5FYNcCZbNpj+xLZQWS/4BBkfwXwnL+E04i2v0WHSbCnAXgewnNhFwLIzRipl3BSm8+vB7esEPl0Ym1hwbpJvIWhxRwBSwxsXdD635je6tdDd94HDmLVBZqVLIF5uig/gNNF1vlckQq4+2MYLqDmjTQraCzXs0Ar27KJR5YIG9CoDXTbgRucf8wVjKJXHjDBMU2MKDiyuVUQ2sF8woIvSjcjS6Rk1XOiZuC7FGvHQw+ggIYfY14OAmzIsBvkP/cDDMuejTGix4aehPDxynRnDEyWR7hlU4N3438GRTJDUO1n9sWETTgwv+yyQIVxD0rXRiwG24JEvpGbyh24g7gctDUZMj/aWNMQtwUySFJohELEF4IN6GCfwVg3heqc1IEgKnIsO4ikyIhw0FVSjIfA0TAgMGpgieBOiL6MPhRBCc8Abx4NSzN2TrNyTIbfIjkMxkce7zJgifApjKXQUwLNBhZniVLCNBDbhkoJDFvgcMdsTp2SuTMEDFEavG4JbKKW9oZEUfoazo3p4RWQqw1GhU1yH8Dx+0EXAH1jWlYY+Uhc7dKpAjFLw/HNfhA6SM0cgeoA0dJF0SuKMszPMGS5oCrnUhV1DXRuVgaogqrb+BbkZUrhwmDEaxSCtNeDniwJ/Cd6g/uZQ2+uByd+Ye5ZoaOYWwMNhafJePDmG3qEnhl2XfAiAf2KCa0609GCh3EPaFb5PSZ8FRHHhgWzLXgwkdhy0wiihH/CN4eiGAypF4JV6eyl7zwa6RKTZno9I34JMaew8UH8y2RiwwWRGR7BR2yrgRsoTsapfsYLNVwweheWkOBtMHqQ9gzTlHuBDTAneyHBiLbL7YgnGRmTdCkEtMfejdO0OSRjoyO4vQtIOYP4lnIalTYkJ8I4KpWJmDKGeWHSoZtitmjUQkQjoUvRsyM6RdkC4tJ4M+dk0VZdj1EY14QNHFrJPrQ2ukeMxiVIRcEP0zMgJ/gNWmXSg4NpW3bjYpRKCh2KmwKxNqwmZjNR8HVjApuQ5rDGXPWDVpGpvTJC9tRMtqJIhCRtFFpkSWRjF1WPZvBOG/Dgm5eF7EOfSUTC0WkxSMmWOyAXeaKa+5NSSg02exyaWz3BopfUE2XlEmR8yPwuh4ZPxcLweQGvCOm2IQZDvWh2NsEme4JShg1k6vIXSvk1wV9DNuNDI4S5ETg4DJTHIGjYZEURZbFsRhC1HQwYEFRBEGkMRQnAydKBh2Yp0ioJKLBVNTLifQ6uSmISeRXtJcmJOexrJSi8GPYYChkHysbvKGYPwLgMWjJZQrb2N0RLMExYrBmIPaMBTGhNpUW9iw9cEbTGrOeGNAcxXkTNFlgb4o4gTyGNxkKg4C5H0I0iRmhQLwMStxqGYMtUk2WR6UY9FPYD5ayK4NwLo4ehVSafHhzPv3spDFBElbOLhcgi/1kCUEP8AuUX4CRuobfoWuhkRgugPJPDYU43I3JJ4gj6WsuhRwVteiNVcCr7bsXmHamls1mppo2d+m0JUKIFZJ4YuAuMy8BqiJ9U/+3K0RS7CLaPMDms5EtjMysUz1+xqaaTOVHQmaIkWKQmSMBaNR9gQuyFmlFWwEsYQinYnShjh4HciO0KDXDtocjxpCXUMlRpDrbN8Y8LlglOovlGliIOgiTmh+iITDg3GJb8CVsqcZJ0Consxejs35EFhtUJSpn14Ps4JnLH0kaYeGie43RUZgGYlpkcVQ7gIl8vorYlvJoCy2ZOO0WezKVGp+xYFlUP5CyTBSeGPYdzEqhOjzSqwXRUNvky6X9O0Qx5RHjO1iq8gTx0UtCYyPP8Aw1glEixyzRTuV0Mk1/IrW0hsVLXBwYKM4QpiIL/A80z0UmZ7hdOpIWBRTgz5Qrh4IYhQtNiNiZ9JQMsNMWylXqIWlu0kzNmOwDi8hjFryP8AnIllCFjganVhoLPTmTDd1TsKcScuFW6mvRn+Ft1g5A2bMEaBtpyO5HDYNxUPQmPQwFG4MofQxrKI5xzwIvRWaYsBbNiTpjcXJLoyuh0ofBqd9DhZeTBV7EpiqMzQ5eBzpf6MaLxlYSMEUc72E2s8+HEuCivBZcGwVlSvxmzbca04QibSD1SGIjO0dJSrCzSF0LqDUbM3gl58Ua3j7Zv0Psg+CYqFQT6X2WCFsOm0yGQxjMdZPsRYVdhIULrxqNfFUXnaehbBgwsjhNlWzpGBohpU4oVZjUWBOX0JCUxmI3suBICY3DexB80NycxCTgZ5D0hjyEqwdL5HsHI0FbOUZQMVKCRmTGFg+Yiyw5WJYMsGBE6QSyQPQY21wHUcgVHF02IyDELAcSf0c2sDp55oyyt7FDl7FmXDqbpoxOlRNizckuDMP70h9ZdY76JO4TsvVsrHkx9bGiMjhYsq8GSQlWtBdY7hJl+kN6J1KZ+a1DBqy7DEk2sWqFXKSVFJNTc9iLQtEOzdESC9D2bNjlRgUVeckWuZyTKFwQsocDGYW+isTsWNaKprQmKkEi2FJr2ToUM4kh1mazjwsLaCvnTKxLmRdCuEW/kWgt1iCgvlGF1daFvt2ZzIXaUxTAJOCRjMMRT8PeC3ZoUzbaQotjkxilsXJtVPDCVE+RkIQsmKjsSNtNRzbSbdeyvo5qJ5UEVE00coaQIxQUhYG2DyNY5g7hyBumoxJ9DYo6MyuBpwNhuDhwRKwlCWzMDYloqCzwSELjJPZw3QlKti8meRzDVyMlBAXgEizRqhFk9QXwExE9hDX34yCTA4LFJkC2GjbFtm0Q+iRmhEMjtkjx5lfRTPnQwqwJ0wzPljsQSUk9n1Hhl5LV7IrhKwxQPLvYggzvybKZ5jF0PKmTFY5ypo2DtYvMrhzrJbUDPwTu7nRrEAmHPJFfYvI3lyW6GBcGcYMmxDDbrZgQ3g3/RHG0QSkrjHY2K5g2UDobpWQwFto2mh6xRLYSeRsK36IiP3BpBNwoLxPgxLxxTLOQkIYGDiRabYXIMVGpIqNEGuzcF6kym0/RT1ZIJNYFCuY7LV/orqH9DoO+i0S5cIdxD+BfAonGKKd6FeJGOSGy2LhxCUqrMGRsFQZIU5Zhv7+Fh14XYgoSoJS1bngt9tnlmTRo2SIlEjKwkcpw57RjCTwz/9EKMMiQkZB0ZnGRRDBGkPqlXHATzNSkjWw5LOeiXuNhtrZdb0Jl8W4UDYd1mDo6HYUapS9sIzvIslFEyGA5ykI2Q9UzyMehFUQI7CGORdR0yjoDeQnhFyQWhLZQ5RBG1LZTOJ8EqkLKNtCJTWGIv1kO9YuioiL1G1bFzVmMyzEEs1R/G3bIxCifJIZ1noMa/gWMHAYGXsYrJU4+x8KP0NOMRJ7QxLU37Gn4FTOI1wNLUwOJtSxh1JZV4ilMq2+EKMK2KdjPYwk9DHwDYgpbMGQ/pAy2MMufJhWpOmhnGSKF3A2qOCm4T4OSovHw0c+R28PsfTGSRilTWDGGR4IoEPKw2pyJm4EhxkoRCvkzXQNiQMDjLM04EcH8EnIcq9FEwzFlaJmaKBo2Il7EegvQnTErZ/ZIaclUPsylOrGSaeqc4+2bU5JphHGTWaRFQ2RitusrnxpR3YkOmTj78FJKGGsTrQroQhTNk0JWBgbuGTZnFSZjg2kIgqSokmN4L5ilSrDyzmKYoTQkeDEJQw8Qg00NpBmh2g0pke8tDFwcEHLEYubxJggsQdFKh8zHnWNa+MGybP0UtDAmhWs5E9VfpOnfkhjvKNr/sbLcxey5AacMmR1xCEl7gC1VZIa2Z6xI5Dus0MNbgGH9RyCHrmOzTJZ4RMRs6iYr0Z3RcCzgU7yIiauQolTAGfKl4GRqgk9L2IKnnWDeSTRiFPQo35F2Rkhu/BQUnB4ygVlDJkxqkEpGE9oY7hMDG88xtiFjehci/Q1xzZiGVdpOoVcBEFyZhkGGr1gd0ntDqu8BT0LkhE9SHubFMMZcW2O7mPQ9NWclsNfJqMQ2gjqJr9G8hDUHujOlwyrhpHh8EvoIm8/kq5foiuj+WTGlxBJH5FYjsdQUuTALclmBYqcA6CiejJKHQ0MxLcCmkhMCXA1ECNmYxdDQvWBU3kQxreJHg4QkRrHp5Y18lNGeDFBzJhUhIvAMDsS9CYqMFYx4eAfwOQbAnhRfk7h2BQ/wD9ohRnLENr0esh9hFJ9ZOB1zkUWyssecBcZEs3tlQtdApGZIzmRjNhkkOmYrxwh/MGOIU37CtJ9ejCFRRMv0MchKG5RGBvJEB+hIy32kOZUbYtHJcgnjvQrbG8DAwbyxPfTkmpSYGIJevAliUuRSa4g/UcST2bEYHtidpspi+BlFtBC4LyzwNgRlM1tHBHZDlaHuiEo0yK6HYunIIqDGlBuXJcCHgUdVmvQf6ZaC0735MhkCy4O+Hoeb06FIvPBGTi29iz1/R2yGYpoumXZUTLkDmsBYUgk2N4HxTgOBPrIdA5J0hwZ8xbMSit8Y8TbGohQZPJIup4k0hLIm0KSJsXJQWELimangOhkYQzEOG9shiRkMuzjDbpiTtieylDRRSWEW2UZKjrSTkbUxRGN4MbDShloTsGVahsJ4RPZJ2iDLO0w+AU1rwHdqH7CBMy0aelBrE1+CCam4svXyhFdnjy5Y3miK6qGg5WQyKMJCqEjgpuJSjTa8XkcxUOwKdIVUnyYNJ0sHTIcJdGH3IMrDvTYvEBwxCVmF1HsoQ9M+jZS3Ld4GmXMxQTW38Fg6uEYJNYGrXwKEcmISq/kW9hwhasAdohwDEwtoYbBQrAhO4EFMQp0DuYYZnGm80OtIuhkPGQzHcOByaSHTZIhi+Ypgg/sc2ikbwDYx2UyOtrQ0sa0LDGUKqzkY3v5ItIfYyG/eJyx5L2p7uoTQbmmrKZG+xbrJSVTVVtjA6SzHyNL2RZiWnwOseBUuIZ0J9hYoSs04JCfCNUJbGpkKjkevBGnSCd00kTAvaY4Ogg9DvGB5KDTyNbOi02Le2dyW/C0EW9IZORmp8gzzRwkcosMFDl1eKPiIJW0+BeBrGjJIJWB3iOxlKUtiebHZpaLPLgjsfQW8MLPsOHkP0QzsZNmETkXdNUayyy36SNuGONMJc1Q5kYqNB5Ztye9CbD5pRvHJ9mYE9iiS+Rgbmap7Mjy16IacGdADG5/BnOUc2sjPsFtIS9j5EIdvAn0S272Iv2gru/xCrBBF5wOM4PnEVL4URo4KTIhMhboyJtWYdOeB1s5THiIsK9wjYbtkMmMjemHl4ZqEhpbTEMQ0FPLTaF91ijbdz2PjyYhBVmK8a7M8E2gxqYhJdMELpgWaqhodIfQ0kfwYVTXXhMxdC2EXZuagVWcRdNMUNCW8QVi2dLs9LetGON3zJPpizLiSf+zkShqsZOPRhz+Cx4/KK5/BTRxBJmsOVg0yNm/htIVDXXjBhgOqZEMSlSxyPwLCSHNphdpnJZDW4TeWZ6mIwM9ghdjeBonHaKOtCIIbGHDKCYRtKOgM0CErJ5D2NRQeQXC/CSaHNsO2JQyuUKTwQfhPwGpyj3z4BIMInyxA03GKJf0yZ2lEljHJJ0gjq8CdhP0QDyCatkeZFDGLf0aywKo7CRzLXqaKwhwYMhUEeELJJOR7sDVqWlokVp3DGLjOxz3aYiTf6xLUi/BCZUxOYPBTwSURYfaiH7C3GKZ0hkoW6MsMQNGRncHDIhsFDUSZQ0SORRY+YQiGfxa+E9SSCLQT8h7NXIUiqp5qN/b0Vfoj4vwU7kN84Cs5vktjfxhmYzhSQGrSYYYDTbGmsOvRhxDKkI9F+jZtMIaJQbg9iXthVdXIk/ER8wjmspMcRAcEPzoEkrwKeUxNyqJC9qcBzOUsqeGv8Aw/ENZjmSo2lGUMk2RFC4MdlFOHkE934HvPjRa3KMDlwQlYKDoCUVOT8RsSAhBPkxg0vFXgRhFqpjViZkcn4Dnmc8MxOL4V3lWb4m0roG+c2FTTPljO5kseoEA7nspaEosA6MFLG1+y9MoGdbzoQ7iMt8ARiDDkKIHJGT+8WgYOtZjGXMji3KWEi3R1o2yhpeC5/HlLneJjGw1bNmVFC1yI0EaIeTuNsDVITF2I/XgZEa+GA+aW4ZoznAzxibWGMmBlWRg8SKW0VKffgMmkV8CQcHdFLZWHTF/AZ0/LwCLJmuhgDTOsXGOgEyrvhTEcgneyANiNXh7ErUJ7ZTRPsk8WCR6N/AyUnx2LPtbXwKZcp9ZHpJyjuT8EpAlQ8oMZezwMBJH0UYErBPDp0LRgf8D/FkrcBM+TwEn2YPgWCdLMGM0/GGrhDyP/gQHMZeeWfhkn7EODP4MGhrwi7HOcxMLWfoGs10C6eFj49cZKwymUbKmRyYZzfHjE15GTxZn3aOsTMiEanLkdKzcOxhaQcUrSx9g3ISodSaOTcHUC8xx0RWM/Q4SEg8MscabKTK4ECF9WiZLdI27eS0v2GWTCZl2OxrvxpVj4H1CyHOJSKTYmHAto6Exqkgh6IhQtKcaGiyYhzRp5BMDw5CAwTqC5ArsIPM90FtJMJ8Bv4nZll22MSNx7F/v7G1ktdjuGGt3mWvkGVMnJIWyvWJh70oKEkUIkYE32HqUEHfgG/0PYewkavLYF6GX2rl/RQF8ReHE7IUxXT/AO3PGE3C5Z1yhSrf6ONzCsSC5Em14lF8IQcQ6xCwE+xMnhH4reDiNQlQtSE18TvZlHYoRtlDDBfIaingLIgxj04OWwsErNhcjL8cRnvgYyiuGuQtqPFoMeRjZKWIYHQxJkHvNQ84HgUWigzLwYwFFeR4nsNLk5/6mNFfJgdpUL/tiM07ALHXdYJqpHBIybccHW+jBGEzbXQ4EcFC1q21ZheP0wqs1u69irIqsDjx9Ic1HyG9WvhEFNFikxYNFLSZ9mjj5NenI6wEhl9FfFmp6wb5+zJJfRjsbMcBhOP4MEDnpmxbYiB2x24YipCuQjTI5gGQnWJpMfkKaFUpb0SiCU4KCVY8a9nQZmfpv/7MlIsNNE2Jx/7Evf2YqGi9R8USl+CXJyIiMDA0+CWZVZMfdpf4JmM2Fp+uMVWMexEtQu2LNNG7Ef0+9mBrWmfYt9j2dsQjH2etNbkV8Moo5fJkuw4rIsU/wG3TPgLiCCMU4garYcyQxm30RPQVZCOnH4MWWZErFG4CadznDtHdEzeV+CdPCaFadaf4JGf8Myigz+8oNcX0S8IzVlKxBbJTwUI5WZL/AIWM5ITmiwozkpLgdujvYzI/CclEXhDtxzKcENNm3Jnqk4HvTKojp/BHZL2xb2ZzQSgy+pZRh/dqwFu3TjEWk/V6FZyYDnjij6pkW/QkjtZGeAuly9dCkhTIoJuYjdrNsCF/EdKU2uR4WT4QjKWujTJOJ9EVpJzRQSUgyO/ouM78HvJ0am/RhBRcQTI+J4URt0EygZ138DFw0uhibRpTIvAitKJ2bcyWDtIyGBabE8EoTpyIRZNoJZI4RijL2Uuh3phoFG14rnQibMFTFhlXYsktLrsXpl47GgqxNmES54ZkjLZQyaRybRhxOyi+GmMW+1i95klwMdPfwQiOZLYXZmmT0IQQtjQcWpO3JeqLSElEMbWYbrjeODabfAoGCaCTXTXw0uClFaOivBrxnaZ0TE4DPwPUItXjkxlv0xjRPsl6JZhDItBjg3DM+EhDAxpuNhbJCMaGASj5Iy6E3BWnhck2NCLo2NNUhw4Cw8G4FvDHUdrR7BTAeYTK3ggwWBln+BiwX8P/AOYVw/gkoZFMOQ4EtvJ0sZTvA8mHY3/9S7kFhw0DR9jefYcBdUYMDmCYiMhMuHNXOEXsLbzGVsblhelg2p7PZQlqysbWP2uy+B24Ev8AoIwrWj6BKjsDGxzKA/geP8DMnKpxjL5ux/Wock/kwQWeWMgBQoHvHULo1nwS0EFSJyFmIZFzFM431SkI8YyLYz7iIV/kQkhtIiiB41hr7EiI130YyaaxcgtI3JMv3+kYQTsQQeRQVVQ5Md7M0xMRgj2Zm6hGx04ESD2TnJiFhMngVHP+hEN4Y3zLWFCR4KsUNNRGLUifMdkxNQjCaFwSHoDIWMxo08GWWOPNSQ6IG6Hk6pTjVwNKCJRAU8kstsga/N3EQP8ALEFTjQmJLUfB3g0ejsFdzdj3m6mO4g9hWiTkySZ1vBgEaALPQlSQ8TTE6hiBDCl+hABF4jHEEMIYhF6uQ6y/RCr+C71CQEhGJTUn4PtpL4x4hGEcTmUJhUIQz2HkNb+R1EvQ4GJbJpsZNJjiBE2LkjI5odse+C2oe3Yb74fmEMHgsVjahLGOJRM3k+x4qzwPJePTFFlPMS2OV5D2UDAiSRZC0YMiSyLX6n5EDUR5iQvZV7AkKzNRHyi4jZiMChaLK5CwK3ajAhaSVowBdjawe0QhlECFrtLAqtZpZnyb8w+ncEnikXoyWhJXT2Vq6EkqiTVWxFZG5qFNVqGkFerXD6FSpUrsT0HCXBhVGKyK7sUsHJcE/wDkT0Zr6oxGPfXG0hJY/TEmZTaDtg14G/0DZUTYuWWB+YJyGNTHbLkrEVESGmg9YJBXwT58VcmfUHLaLpFtq+mdq3UJuDboyic4Fp0sLR2KZRsCWnyC0v0LwEVQsA10LxwckyUkdo0IYE6wmiAVqKeKIH6WMUzBb9A0hYNjJoTSBmEE1eIaE+2OdsS1RpMwwEBWNfA4UlSOj1P+ltS7szZVkFZt6JCsSzMseFGpwXbS1B3oehl5KkoZ4mBbZDFP8MGkjgCOAiJ8mStGXEq2inbkYDYBCSiOYE6wQU4FnkTw0/Bz0TwN7h7nwJJ6LCxHAXORMBegUOjPFCkvZosC0Dq2qNpt5HZJpkw21gVzablC7jtUTdmz0KcxUVigs4hJyI4NGgx6MbYxJxmimu8x7MIy09g+d+A4NKLiP+mY3oUpInIRSs8QUgwmKwTX5gi6cdzoUWuJJRhedp6ZkkNmck6WyntLgdaYzvIamgjPLwRcIc4Ayqmia7GuMZU6EWgxfYzz4MSmCyKhrQJ2aEKuT0gMYkzfCKshyo8bpP8A9YXlTyFcu0Kz7I5IHNkTRFOikDJ9jzITXYzZjG8Y8KbyYpEj6VYJKlmICbJbMe4t2lDltXAb8/Q1T2YFOUnZANjXFezF8t/gR1/9hCy/fTRdf2GlXRxbRfxMNM5TgYRo+VOGBmUNoJqlhB20BrA8isszNFdPq6GCxvYk2cSYqOeKxgI3SK5S/ovqjcUp8GOmglc5L8UYyTq8MWuuRpE2ymey9I2MjCGx0ssd0Z0UwZyLvlGsD8FUj+GoHDSaImiJ62YMfivkSLp8i5xcEDIT1M7S2KDLLMICoQpD7hRSQUgSKGsoS0RoUNjwbApcJvgZXQmn4nbejDD4kzpXFDrDscqNhEqxJm/+pdFp6YrsrlxlGEi2KDyr5A3bTPQti7KTTgJ/Vou7+hrFwsGvNu/EtBZ0KrodwMB2z4nYxvjhELc+R5vFLgRBWN20tg0HP2syx6WE3QdIVTY/OIVHbWT2qNZlOy3TCkvOYNOiC0LWE7o7SbELLsY6lFbAkvsyM6exyISn/Qzbxqx6ZNeGOa9PAjF4N5MAICnAe9v/ANhMfSP/AFX8EGAiQy3yJRc+WTW8eyfUUK6Q47Crd/szx+Jf8MyYpoyWjhE/gNz3kTJJyNzjWuWfv8gIiPgj2TBTz5JvWJwjnt8YeWhZmjreYjo2aD5baz9qqiav0YiEjkM8NPY0ub8DQmbgpBglcOxf8o5GPny90QD5kDnUwe4YYarEMl7RjTFymJ1MwhuqjsncMeV4qNizx+QkIO6FbjxRMSf8Iauq3WzE7Zb/ANOGmb88bHgxSiIwsSRwxXIpQLSIIkjy4ZKfwONC77YrDVwj9x14GZjHhLMSslUnIyB6hhmjhBAQMiJE6efQiNQLYmMkqUt9GUecHrrY+DFRHDijWHKisEKu9CFTf4NI9fRVpfgV0u5luqXHRWn3QRS9TI10MJsWCCCaUP8AgAfxlWIErTAa2EQ+DcGHNWwOjiY7NIlGTCP1cEF0Lg4VyibfJi/C6AjkHx07v8mlg1NexRHN6fiAbHhQ68G2bPSfoHlFSroExzOKIY4ucUn/AAY3Jl0xgg6kZRdoTIIOmYv0YeyQloVJIxKlcn9itVwz5BlZDDILYxbG907IcEp7WXAwcbOgdWpY/kqbxsPPkcowvDFhOMHPoayzxJLLejLVfGx2YK7tnno1KmiRjVyKROJDDRP/AFpmFvH8EPUJeVCabFnhO/JyzRE5oblyMdgE7IvwgMfdPA1isCS/ensUHJGKolB0h8joRPA+xBioLR5F4xcDU0K06MwXsslEO5B8hClYE3JGprRaZEf8CKZjPcUctVkP8iESDvS14qtkhiApr49XISeiBuDzrKzDGPFscnN8jU0GSQhZkr8QJmv9DpRm0KayMIKMlZCGXBjgjoikcAVwb0IatIXCjNmaneLbNMilw8OopthINFCOOALzTvkYAnoWT/tGQTfhgea22btXZRIIyFY3TgZyQN2vsdFz+RslYMY/sZztNifk6g4zKmpYJNdal2RPsjyILkor2BqJwhJ9xEvUFaXQIi4y6ZmNsPwfkv8AsDU049nyT0KrChabHUJNU/8AX/0WXbwHeULIPSR402zHjVJyaHbZ9UPamJyJYFe/eaHE8cClD4FYdjYJIFUB8EWS3oOTb3HQFoYXIftlg5NniXZhQxPYFu7FyY2qxnEYKZkROfHYQ9s+CaShWFiHF1oabar0OGX7dnTjWCJ//o6GLcMLZk4ujYwmt1gtgZXIsNWr/RFJI2NFC0y9iBTdlkRiHly/Yvt4tkiaKwmHXgKDqmOYSrE2ttiU7U1iBRBxZRlnB3yJClW7NDvE9M1hifNY2Js0vvivEQ8EhYTbXyaEFf7ghGOcDqPoaEQzbkeygVI1pzPMMcaedMVxIWYKw5In2LZtfRZ7BL0zC6GUBy5h2K8twSw7DVlCQGLI4XijlHoNm9k2zFaJG0LjdEmq2ZQLZPEU+TnhjhPzgLqBiomj+DZUP9s04dexFmDFIItPOxG8PmkZxRj2PluUu0MsUZYHPMa8BEOnIjnAxbB+RSFnDdFZG0Ya4Xl5ISmsnocWFsIP8hz4C0yfDMFeRV8JKDMemf8A4TwRKjbF9jFo7ZIO6x9j5EXPjEI0glhI/GnRc088INjEcKvYy6GHFad0dnzshJqhWviGtaHiPoeB9wqVNEikdBfRAtZa4Fax6IoMHFGzOI9mJVfJX++mBPr5N7nY2yZ2MRcpSgQXrJooiOC0pLLWDAL/AAzoefQzimTUu2Yk2L/B9R0mYQ2wNoTIfqaLYjTiQj+T6vpCdfyK8BzPkorY0cAnmt6UVtztCmHy8Da+xXLH6QfcD0DMMXsi1UtYwJQZgY2jKcJ+xj6VadCHSq6DQlTgmggW7GCsi+RFm+Dm+0JyQk5OmTd8h60zDIh6IRQdSgneIqdEFKKaEuUOaiG4uRHae9E8p8CZmwuImUN0MImHyKtfOyNKIygTaVLLGaQsByELkb6Y+MjvA0McXJdNMTcN0MVaD5k4BE0Ub5UEJjWFMNsa2GSFFNZKaK5G70/Y93tUgIJrF2IwnNnsTbesxhi4RuEsGUDBZvLUi4y5ExCm+uChs1qnCuketQKSb03gu+k0FcH5GKJZTN7RfTFTt+nxXAt12JlMIXBiiJewLJyP8EWJtsV9jrs6WNnLJzp5avUYf3FFv0hzJQspUP8APImaGcEcUx9ASj7oAWTG1EeGRK/Q1DQ4XP2Nj5j1fogE8EJXMzTOhtGrXF2YEF8yb+CeFs5EC/vYOLjTInpUpMdZBMTZFQXchtsKpT0w6HVLH4FRHlu2FsQj5HNYJ0amxtfRErWT+RCto0AhsSbDuf4OxZnA4tJTB2PGZs39DYsy+eRknhm/fBEmxARtLsc7F6KLsaG8IYfoimCbZxB4VhVrQZ0TUiYuUzqd2XhM5FfBUVijjTRpoe7FtuFzDn8G+BmFGBQyyc8lA3FM5IuKR2RYIWaRg4fIploTMKtP+iLINyB3lD4wZ0cHjUFaED/0uIvoyjwWbPRmfI45sxbyPaF/BbT+GMcOA9RVv/gu3hjoyx2gb28TNDNZTemgzLNDzCuh+lt8ymki2H6A9BMClWbwJLSeyFtPsNDXY3S/JZvSF2mKZS6ToICpqHqr0XKEhcROqdC28hQ0j43yRR7DidqdnwTG2qjrU2oNuYRWtfAwU1FazCUG+78eiTweics2X/ESyyGbdDaoXGoQ1povHwIek4XLF1OAd0cYk9hD2/SK2Q6fyGCnY1/UZ1DY24ELsuSr4GCCDcpNshKypkmZC+2RvsqwkiyTai31i/w4C+RkYNZPY3thmRINdDFjCMQeDPhvZgSDGf8A4MiyDjT8G1oLLg1MwRfJ+mQZE0vuNLJvlDXgNJGo9k2ImuzEGSQjFj1DcEK0eoWqtDmj0xkj912IEadaPLAs9M48sPUzQ2U5izsozykcvRJw8QvnmLg0CLEBshBxlEsrQ3hqaOZBu1C+o2gMpoE30IMqZwcNGxjSf34m10SGnwGyQWqDSJDHoTcjENA3exZ7E3Y6eymxGygbJh14HDwbdyN9FJSvhO4SGCIdApenAhmDmTkpYvIk2kxGeOS2JpwbWhmGG0ZWNZOx8KShEjTRIylW8DRYoyQEN4RbJ2x+XSyNfp0zjIYmpHwJZUnzVs+RqFp3CQ4uV5XIhEmoIvlEZURyfiZvPGdEViPluGXQnzD25L7udsa7f2KYXdqmjPeTSL+Rqj8F1N9BdaUFU0vhcoa5jszTdMpULfMSjsjOFVymPPXAtrTKMaYGgEZEg/t+TEj1mEkLDBuLf2J2ZSQ6jvf0JZooFjlmCVrrv16oinl7XJM6hVIoYhW2lWWOuWehdiaNiF2eimnArHJEfnxaKt0+B5WfozNBGgxGUCV2nBsJ70MKg6ZKxzpyyzRDw8YbkEmVBIUV6G+gg2at2TpRUxTQW1GXgcIM9mJ6a5dFX1fHHlUCdRqjsWkSaKKLpHELycCHSYjcIY44EPBA6xPYbuaPwFXmyZ7JpoGpIaZRqQoevBHdDsyHsErcTuCac+CbHxMC+Kyy9jXhCrJeF7KURDZuxGPV/wAKZ2xGSqnRsnwPK9ocVoom6sNXnY7u6aHeQ1BRQFoEb80ITbGYH0ygMvPiKPxax9EPDSYgkiigYhFLaljkmC9BDEzTVQ1IxqtVDMnp2URKkah76PwsYfFlxUOFhhj0hKEGo6a/gwQrPyjaxRgA9HSpUCY5OIQUZDC4ux3Rt9MxwokVOHAW2ZliT/ugwYR73QlDzTw32VpMp5LL9rgLdydEfVpfQ5BFa+GTCUFdD2DsQVg2KKNp+gqu/wBsC8T1Gbj4DTB4pEhfrReHSSG1i2S6MbtjbKjVv8h7sJALvQUsoao5IQnWZR04lprZPQeL4EE9sWPNZCVFZXgZ8QhFSke/4nfBjPghIyFWAl42leiKZaFboIQYWf1CemGmaNcfJ1434ObWgIo1jXPxpbtHfPYNfHRmGJDOc0QKGQ0IDCXgtJrxhWNFiPJaLS8Gghv45yLMcsp/EQG8DSWjaEMoqRBPXg3CDLDbMRgXldfG+RgTilI+DAej2IUewf8A/pq8NWC0z2rb/sJq4hjKbDwXGShA0tAxfQ+WlJzQhK0Qwq1TwYPywZzY2FSylFwOIwmniDL9oeZyls4NKn8I2hrWuOuSwkYQ/wCYXEHAPkEo622iVO3ZTvH+GBYazZou+mJ7JzTi3/ZGovww2vyjjdD1te/HiVS37FRn/cGOqqdf/A/cSfswV2cJ6IQaPY8NE4dlJ1saQNc2GqrTEvmbItEiHaU2jamhUrJe8+C9PATrmqYRF6HAy0b9H2BzEhZFl3SkqRvkZajBCnyCVXBFiwXzbJIhtL5B2sHSEz5QQltFa4RsCRRaD7vsyK6RxUtCb6EzbujMppxNHZWrs0GHL6QOTDvXIRuPDSEtlkL6MNHPRPBds+YNtRj+Ohk+7/yHifI0hw0OfSkgp772S9HwPgeOxOYiXAhgbF2NJdJj2c3QsNwMicKxBJc4N7AqiuCmhTImzCzVIfpko3CxhhBuIbrg3/wR2EYvjsqNoy4EwZuEvBip6/4it1wWRcCFbxVdeGLY2tURSyp8JpKtlUfBxY0CJqZbZi7QWp734nwKe562hrEzzwFsjAYy8M5zD0aiY1RX2NMPYSi/o4QXMP6D4FhEfQ1HxhM7Im/ZpIFSGDYHgRTkSarkdJGmV4BeBGTTL9hvQtWESK+clQJOUfwcVKxf+LIQ0/bQtIlfDOIfTG44bMFh8MxPOyifsLvexSuTk3z1FYsNbQxk8WxCK6nIgu52Yv3BRcKeWtjmaPSosi07tinYGJNejYGhTKZP2Q1nVmrDHdp/9gKsimt1X7Gtufd19lnH0YA0SPgamcOCllT0xcFHMa3YiqiMCxrQclXwZhpLaZK7UYa64YulnebsXSOG6hqYoIXxn03GBE2jN4Z33KcYYE3s3xpwsxriQS1zfoXViLrVlG4f7kGkyo24fLxptHESgKkcLQwTFmqciPjR1UEqJzr5Qy6BMRDXsjJqxDaexkNkxjHoLVUM0R2hJghyjYBJyYyZKWL5EPCYhs8iTIa21llNhz4s8bTooJRXyNfyJa0KS/8AIpa8eFqGAjoq6EkTVNb2b07jfweyAi+XgaG0FrJK/wCgg1Gq/wDRprM4odKtNDanb1yItD2p2bUNKHkc6cJCTVn0hTFrnJEov2Uqiqmp9xIqJL0LYldkamhHeHbBV+p6HrWsOk44XLSG6qTIHoW0WU7MGf190U9rALKRZJ7TC6gm0FiV8dj8PyPMJrevZ7aejIJt0U8C3CjZPwMFRXgDu4xwzLgoZhmHgbNEPucwOGaDsUnWm5LgYY0wkQmW9L0VSfG59Bqcu7n8iQMcHJoF9NjLqYS2MYiTZaE7J2HZPFMOz90PF2sPllVhriCSMJRLfRnC04HTlxUHTIyW4cp0OORU0WtGv4VqkWHU+EKo45eKhFhtKEMzLjdx7j7WoPtqBpoXjrmz0LyFeoZJdvGhidxAXgDbYtOUFupmpM3oql0ozs+0hmmau/EFlJGi/kpAX0CiksMWBvgTSC4itObRHxI9ApSr+RIcAblGcBZvIUujsY8sswgX0GrTFZ2UMEryPqD4iKoif8PJGGBG5YyQem5K6CMKGaWBsW6Q12Oy4OVjphWoRdUWMh40Oc+IiCOp4CRDSXTE8i/wDpV0p5VESnpOfAyMdrYb8ESbRbQ3hRNkrPrW8MarCx3M4sXfQqFF9yIqarKXBoRk9cP7LTB+mUrJmqc1vSMZ1+CrppyoYfoKh6k93wPip6eXbdHkTPNLZpH4CKOtYWrN13jVSMBMzvaHNFZSRiEnTEn7uwv8aS/7WPcp/IjlAq7Urj7EJG5wDQ9bCmROdh4/6+RqBuNDCPHvWSty3pDDHOyFtOvKHELeIVBSnQymVe2lPsjUfzOjaDxt/Qs54N4/cFDaYluKVwmhIYo0l5UtBgF/nMnaQdDFE/SJ1Bpy2ijZEtalyMrQnMp+D/08pAt7MHRxsoasNxHny9IvR1UEtM9o5o3aKxIkw0k0WCySuQ/9tQKpTVE+RmHsEk2GjCCTeQ6SFIIRNkGezM08hPsqHKWnyzBkps2obdReWHaZGlYoofVL7GHmCUfg4dzwjw0DRMNtmOTeEYE1gdpi0JbCFvx2HsiKz5BVaK/AWE6E21kb9jxodGIg0WyMDhoqyygSbJhUdivIjyhgwwVNjgCRNljCWFMpcMkW6WZg3Z2NAr7kecjhVuYoTlwDma+RegXZNOVyQaThVlSweRnRGfQg02CUbQ5fb9i0sHsUC2ha2Jkj/giOZZwPStTgjqL6ESpZJ3kcrKUgbEVKpZsOYzDKisjEH4RqN6ErCz0C0mraIxKj3Dyz+jpTI5EmHQJZMMQ46QzkxQmtPkTj9jipAyLhkYVuh1VMB0ZhCBNejHIbZVbLFr0IV9ehC+kkOlhttD7NW+UNLaEhGjSijQ89oWd1extcUt2wpk1yhhrXFykJdJkOq6dFtDsYa4MmxWKyFhYnFELiaEsTK9lNmGs/zAfkz1EDmqCTY8hJscW6+oTy0AFneYaROwbKppvjVcjdCic1tmcVoW8xEx1B45FKDVmhRZ+5uAahUyddsRsJbUYN+gpTGz4O8IbDBIdrE2gWUhshnxgaMJlTkQwDO4ZhKVyFPdY5QTFBmaCmMVSCqPNOTuXAw8uj2XcCrWSCEKoWQ5/AJrRiOsXKNomzwMpU2HBnfhsInh72YeIe800ah2lgotEYcEioG4hq6XQW0JPNgsLZi03R+3mCzZxORvmCSNrRPRk3RBhGUW+DTJKCLCTEC/d4cZebXwxs8A91XyPsv1VyJ90AuJUF20mUssk9GMFZj5jIlotRHkYmEpWuBxri3qYhVpksMjESGTlDCtRzK+DJ1fKm+TMITaEa0oF5ROGmckHTEBbWgpeEfwdi8Md/+xqSm/WXQga2Eh+VKzNsbXtZYcHN1cRRpinW/wAMHF3RowihMbpfY1ZhiaG2OYukGGVgnD+hLZtp5V0f/NLv8h8H5Kq03wNdlfDwM5TtlCntoQXvtvs9iYw2E4n0JZbx4rhk0p4dC+NEZmx0/IXY69vmMo6wf8CBY8Up4dmfV9nuqKemImcQIawm7BPNHQHzstJN+mCvs3sDHY1rX0nI49ZYwgmhnjdyxqBu0UWsMFZfkSRbCxUivVcyG2wK1NtkSf8AwQxZJQniI6kNWA4mRuntkh3R9AvAxVjzgZsxL40UJg0XxC3Iu2EJAlPA2mMWGUy2RvsWHDYyeWRQw0JVEfsG8Rgr0YQGuREhpMQkPwLkQ70KqswB+RgtUjLUZ5bGk8VdFYl7JJ+TixrB8JOgbXWM5SY63ywmBvWLxQxakSYnUbYyPqKJbLYin6wSj+p4+lgaVxGziLk/sym1/Yku8dsoUs9j/ELUJyymttKcZCaOHx5JolWqIMCpikqGnW0e2R4WTTWySygBJfWRtBRfLQthdLV10g9S5cyIhPoxPMujWLZq3FwlqWjIX7IaZ3vM7VPg4IWBOxu2uw2N208ieE84z2sPBrmVQOH95E9yjNlMJaiTxZdm3BORr+eDclEhUWvI20JTer6IVV07WNsyb/6GjtZxvDJkhMiUrrgcJJZTHsxfvk6P6JcfA/Q2hXhjsTtpUJGb0Xoc5arhjOpyMcGouX4CAMEptPYfs6cSlpDJD3MJDcF0FnAXw2LnRYoTXAqOBPaYnJ7WEdYrt74ywor8jLBdYwJPCCuIZuDGhsZeM/EbabJmQl6sjzIqbYsoxSHIC4hzDgMqssqzpKovimkLDRzESY5Nm5g8iJVFu3RiGCiY7wKsQWQ5gxZJSggSgsx+jsmeaEjWB8SGqPwwNUti9Z7OhBU0UJcUVnCCDw0Fd7Qxh7RgemNxJBG/aVTEk962yK7al2hD4O6NYxowWhgbaD04hNBmy4ubC5UCOHjfYwm5bj4JGImjwikNTT5OONd9M6ky/Xn7DC/CxJA50wD7ghFgXwrS4vkIDRJsBDdhGFD82XhoQuUd2E2JJU5TBE2kCe9a4SGWzElhGGwMcq2/YobbC5FJMLeTh18GJWRYAWcy24ROP4lhMqejC3CshVTKBSHWVEx4cQVF2vEaRHow2xroIJCPEuRovQ2Q5EFsXeYMdumohuohUx6zGmydmkFd8kny5GnCFLLeiaGJyhs4UksaUeHnhSLgz2pQc0l1oZZmeRwptvfgXa0q7Qo+mGrHYVtfJ3Sp4PqPQwj0maChztjFEQTGRzUmtDjIghpDdTAxNdhLQ0oaFz9jzZrCgZ0JwCQJnpBZRoTfRYyLTaT0JqFxS1hlG4TYCZIOmI5+DdgbTkyKuQxV9imSkhEgtnGjsYcGlGNheKwMRJ3wMFI0seJklodSiGqMPonE8J7GSndMerBhCaAT6a8zs/08HwrAUXdOWOR0V6CYvNiYeijhLkVtRTomUTauBKsB+AvI2WVWEuRZ0eTUK4GWRWNbxaQ/MPDGub+mDJJOReRL0g8zItqdbrIcPq5rTAEnoJ2YxGdseA3gr1ElwtFtn7ILYJ8TibKYDSCRuV4baG19+ILTKlpjnKfY9Vo3xkSOqdeVyPwVbY2/aehwqI4fUVtXGcDoGk74B6t0J7/Juk2LzvAaHy7ORTxGYZnU2mIv2TgihVlQTk0B7F6fbbG6ofyN9AXO1pSmZ8ue6o+PQk06yTr5YicpHJxir2Kj3upIrT2BycsRmZTaHXjLLbhPhoQrZV+XkSyk5siCP1EdUvQhekGJUTtRDKeB8jI2SZtyi7SWcfhyqkR/+CasGlW5wQ5ajTF92RYWzAqTcf7BWyWtfh16WRXbRlOxwhgyc8bTI2SS+oPsIFh/cDpiVlBaOU9DnQx8+MxmlPgjtGXooVYrwcQ8hG0hs34t4DfoTPQxsidMMDxBbxrYhAasbL4dbHTwIexnyJEkLmSJlMkaik2xZz/gEQVbmlIfIEyc1Zt4hintnROy6sLPiWOjGZY54qt7NlO4yZJwgkX0WyX5IGLPxSh8/Az8eOhm4zlCWnT5NxYriVEM12iOpCYtqjxiuzTc8BCQhE4oM8mokGNXuT41l8MnCYU8D6pDEphF7xluT2Kno0D/AKNzP6v8jPuiiiZSign2ehW4fRzObjV4lsFAPYR81D1rwskE+RrSfQpf+o0KnQnELaHtmHCGWcHKJbMN52WZOWuhl8s61/Aq8sCezqst4Vkme8Xz6qD04t7eKlrKu6bQxYGVKzoaTfra3/ogEoS0oSoM2I1ozCjISkkuicD22RM12iaCpOfEGe1Jjto9XngZpQuRg9MuVh+2jSbXpZF9aG4Sr1C33LQaca6Af8k6RFV6Qd10ZtCpsIy78TStHaVDh6MXqEi2o9Id1/RLiWR5i5ZJbr6Hv26hMSXjoS0s16FLMnIuyJga+METHaJXKLPZd0egfYkY7E7MWqG5Qq0JMy0iNhcHY8JiQlRMmV4S+xkmCyZvBgoxIxVUDpMnyaCBdB1ISwOkQhNjpp6roam8VbDECCMu/wANbFVobE20bN8Jv9K+ri6p6qFyUVj4XY9O8bkagxxwpGbCSeyOq/sIFt5gQxN83sWd54S2LzwJbhz2WG4emOuFM8tyTgqWUiLDMTtaYmciWax79KiBznpCrl2LDh+AsFlw4CmjuGq2SxKpoAlsrKheM+LwPIc22Itb2RIQq98HfHZCTz7uPZIIbMhgn9EZHI0cGO1jBrmdwn6Sbz+AnO+xUd7HnDG3kkh8iuUMUMwhRhRpwIl+zLGKCq3fHjNtFSESjCyuDA7ftMRa8PQmtZgkmhJMEMuTgIZ3A/yNtc+oSHO1+0WowrZTLZsw1qLfgIqr5LiFlFR0a4Izkc3lbJNSW30NXMsmHs5oKp1UratiA0shseP4ZwpfRrjHsUlBex42sho/9iWCyQUXgV8bIh6yYY0prB8EJG39h+T4lxqoUPTT6IfR4GuvngSpaxIIGrKKvYdsmHhFP3ngMIX0O+e9DB99pWxDXRoU5/gVrFXrwGC1qIPBRUZNCw0MfAkRAMUFyScFkhOBYZmRLQh7CbpLQuBCZb/02DFtEa4DHDWgpchd14J5YGdk9tVwFPihBbm0EUz7ATfI+CCBRtp/5DJizbEJGXA/K38R3RVlJLMF6otoG1URXh9D/UkPbaX2JLKtn5Ko5jJHFhwIcVLFbMoWLTKyHsYEPf8A1Axqy2EibNzOo0SymReFkbXYgtm5ZkK3lQdYmdjpq+UIWGeTpkjzOFeBvLTjOROYm3BcNOg1l/jL9XoJMl6EqKemYHhmjml02uhd2JQ+AiLh5Obbwxt9jyMXE0O+RWRaWGX3lQI3oeaMw5RPNrQyZpnqiSaHhRCcYPUJqzAizvJ+RsrPsVo2JzK+TiBdqglNQWz/AKM3xe7GzpDbZcZJcMbQLc9ZheFyUdD0YQIpNvkrM0g1ZsLkRTa6Lh2Mqs9FUJewICJoUqQXNFJApZZZxmwYoNvwPhz4LhqsbMiZEHlgXTTKJl//ANGIqaQtAlYOWaj5E1kljkScTeDCLlk2OSefpCeSJv3bYSxZwfJSynZEY7E2mNm4h5RoatIouC5tCvAu6Ejga0hSIiafIqUPEsSgl0I2HgZbyJrUFWCEDli6c/YgClV7HYnAjY9hIUckVD2xtCnmmCf0NuohnTmYaRAgHSTSIClAEJaQHrcXoicSE0uvaGUT0Jm1+EZZx8inMPVsdhNCCkfYettLkNbnqeCQLPGTCDK2TGW7PpAFMr4iErFP4GpkJ5T4OJQOWcBxTfZzk6CpNImSN+y3BNM4qbCGPbPoVU5zmJzjg2O/cfeiKDtEkD7sYAZjzWX/AKiyQyoYiFrbEk1fZmmW3mETeJhGyQwzN1ODCCU9sbJHovmDUeQSpIjfyLoGmaRk0xRiZU9PokqHLhnhLDsmMrJy820jLZYL8rGxsWuitoUUgsEE1aqRhzWSsFyM/wCnmCq7g4mRVY4NreNtrg+RfEvtaCFMveoS17HDCpaDLpDQM0iQtAior9CLQ9wVZNr4XiFU2QyRoCpT+BmRIuiv6GKp+DdJFg2mLYfQkzKPKStOfopMStqNMFaNzvRixkfkVTZfgWFRN5yI4Yhg1TsOKF3HWuQtYaEupkAjgXqKHgnoatYKlioydgwD4E7KQ2GqQ5wmGhM9cEo39N2/pO9hTr4RaBUEp2hQtbGQozps3HI1fPeLatPIm2F3B/sFrCDEXXYQ0ZNr/gmWqDSFnhTXYtZbWWw3OHgPjb+WZRHExOdXkOk1tmNJNIdNrzQhYC2euA3OIhUZoLnzyGF5rY0KgrhRhemBk4HngPEkutBmljhiuakG6Jcso2trLHft5iScV4D/AK5ph6j5pFF2YB50zjZC2Wi/oefrUS3oP+aBYPQllU//AARVCQTavEKcGOJF9hl3Aznhg33GDuoZklThlHZtJpQpY5g1ymr7KDCt1dH+nuSttGJ/4CR3sWOslpxGxw8XacCmJ9lO6hPupHo/Q1xJo0EsRzwQ4Gk2OwxbNHFBT44YfqYjiRyZEQ2PBZPdIxxpateGjJcI60R3dWjEMSnsx00YZd+XgamyISqRNIouDlnZ3hWBwcCWw3ZqebyIjB6kyThwDYKTxvDOoaOCv0saaxsMmLs+nm94smPHzjZDaVRJds7cdYFOl0LT/wCeG9fGsNGW4jMk+yLSKu8hIgNcP5bPgRShH9jGQdmpi4VqwvljmKoyyKiOEY04SFJU1lsYUuHpGrx78IxqGClE7C6gulMQdQV0O1yZ22UcZlWxUvtNkWSMKf8AmjAEl88iaUty6NgFu7P/AMDjAGC6DNBNemxqprOJD5B6hmizGySYnl+z5LoaS90bnNIfDcN2tZGEYAfJw2TPB2o8bh4Egw5sJ8Sybq3wQ5NEG4nUYdEmJSC5Uwj4ZEqr+hbF60oSNh8wk+wlRuEPf8H6RfhEzAd4E64Ho2fPg2Y8PgKBwl/I0dPAtCDJBULEHlDA+TsD8X4pTPMNRmr8XikJJiC0RXt4asYPMZmbmjt5KiwYCn9oE3TVRsSl09Cmm4oJDhpl7YnFZtdi4C8H8kRJzkXncyRcDpf9QhRjkQsOPI5lRdgqX1FhhETGjX2NHloEaKQN00dQXbXJ/wDALNfrqInKOUph4D3EjUNW4Vb7MklRrC4waSNK9+jp4W2wyfdYUKY1UIEzHQTHzLA6ksvAGGRCWFyPHhMMbzbpDnoCFbZP6SuTY6o9iC2s7FdQbE9BSrsUR0IqCID6gZgVSbD+EpYD/ZpFrnP2Z8LcjHMZf4el9EMqZNhQm2eA7Ng7tgpdBoNU228HyHrhNt4QYHLFpkkdeA/2mPbiev4RlPy582Eppw4nkhEQV1vCKIEgg8Gam60j3ZXA71SbHtOCriGiY85cToZ2s6WYT9BrJWlubHSIT2lGPOFZUmOl2vFOTxm5c6ZCGDY1sY/HtXoxzoMXEYpVE681clgniYxuBcV0z5YjZ/18UxKbvRiGaA5tpsYxGq2PZRtSmB4A5HgEzf0pG48QZzBU9DGkVeC1hd1JuCQFaofniDQ5NU3NGAiLguqg0Y00hgOsxp9J0OFt236JU21UMr0ixED9uNhxqmrQOLbrXcLwpe74xdOwwjvu2Pt7VWODCSGXTDQ/qZQSpbfPhBWXQUhW+QSw0K8A1N9SC6D4KLLH7+LiIh4QlXge2EXUA5QJFVajsuNuaVlMxgmbloQnbWGWXJ7IfYmuh7xBH3m0eehFlMko+ySJaz2FNfEUSG0Dp4sirbTO2HpDuR9iY/OxYKwYLt7ErdfUErhY+GPDWi4E9pLDRKj5gyotq/ZuH3RyZsvmJmGDFvFshSQKYahwxpLh0yU9VpDp/EZC9wXomURS0Zzt5FwFieU0hHsrTL1ejdYIOYWwsGNLIex2i2nablCc6+WMrXmW/wDI6BGY7R9FocxE/QynJ5YzoIyPfidKjj54KTc/ZCzKuISRDhLQiSPiCyh4WGhKpQn89OezE2QCMbmFSQn+5Mh9PY0pHOTIgfKD7OUY5GjKUoMTWkrsXwHQW8CcbQ/sT4Sv6JSJleQh4Cuz6MbptEtIZXka3LQio2jsoQ6pVDCCG/M8pGnDGe/QWt+DkgpIOZbEhCExIxE0NMO2GK5rtCVgn4Xyh2U2MKrVWMaLeBr6ySXGMpiGJPmiTrG+UYIy9NsZc3TtIZacVr6fBkXI1hj8cNMQtKcm4pr7eK/hVQh9Ak9V2BSn9CNZ2iWGKaNdb+iHtWq+QHTpakUxIDvH6EK1X0uv/wCkFx7yVZPBsLeDAdbIteOehBjJjjsxgNYi8NVCETLKZZYmPKqS3weKSW6l7BAybDIwYq0ggvO5MOpV7gnN55SP5BM/6iAaEYrb9irqhtN8FTM8SxvLz2QEf3loLghW+eEdgYITbp6D+M5Lgp91gcbh7ZVGCEjxcDEQzJk18ClK5hVWDIfpEIH2zss40kbTKJ4FN4MxSDaXogufChhvCzSRlFznzEzMgoaCKp+oL+I3RCU7gViYU+BhDATSGZ05etsdkVo49jSZwkYnHEElZjGJDsl0O086GFsDsDd4Q/NiZiji1kdLbN6b+hfpVszGiRdhlvAYVd2XZVGXdFXHlYjNKrBC+Uo6hgrYNzFfoq/hYVmjGO+PqIp4TrXSYsib0PYJ1b/+YNyKIK/2ygMTzlWK2YS59GUVka+QsgYzQqyNTlMnVRxomuWN3kxOVwvEdygVnWhPRMLZuiTW/wCD/wDKE3z4DCSCpCbkLAi8IegsLbFMNmzbrmWiQFoZOE0yKTOgvjbLIUlXsFwJnoYJpYqWho1xHDAfJF8aMi9mFiEwJG0awGCElMTBBok1qmGos7QxOBVLA39R2gwfzj/X8Gt3KtwuzM6EktBIOCmCE8Ba2hdVjJMCJIXpg1ZbYZaxMJUxOvgVHWsB/JCN+j+i9UMrZfRf4MLWDo1uraKCAeLgjXP2DNvWGNCuZQ4B1mQUZDkg5LjAG+CW39MfXUMbColLpTbY3jBDP4DtN9GMCoqRwZXsNeyF47YPkxrLsV2vJPbYxrY/pGXgznYpdHvIieCJn1DFvkI1BGlyzJ+LDU6sjPnBjnlQcTGz27m5Kys/WNWohGEStkSjgfiRmj9Yi3q5UxhfYwnypZnV8sT8BmIYI2NGSUsMvks+fwbXgL4lLkarQht8C91nTexTVL8CHJrYrls/0JCui2YP6mcEHZDh9mslKq7LJzvoMUuULKRmBkidf4Wjf+GRD5MhBK3USe+TIYskwd18UpqpdJiOH9mxf0lrkE5mRJdEN8P6FLhDqwdIZmNG0pZGEg7ZEOh9iSOa+TKewE1mAoSPtsQHKYcrkCtS/Znn+yCihSpBtwErb8bxddETG6CYskzAs2yMJp5cFLLNbM0vjdDKMB0zQC7gzb7LVEusEy8tMjOvMpTEyixeRpjSldsvgb1TYsuBZqaSsHl1pOWxrpqrYQgs8XbGsRnm+imVh1MUbb+RJwWFGIHNxB1eAWY1NokAlcDLJ6UJINSohoWOc7HEf3sZPqtNgmTtLP8AsWqlIDMMIJIM+3ySRX/ZJFTISL5qupwfiwou871n4GClI01WRGUVR7sKKOKarK6M3qCKSbdsfYl4qWncNMDKUh14TItPs3Qw6+vpGLm53G6NvEhRDLOoZxouGTAz8cG5qy9DSbO0usGfDVTAqjcBPYszw2giKiQpC3rdj50vZUwH4NjMBvEMlMP26UyZlcrGY/2MTP8AopY0tyNKJ4aGLgYYCWJm4/8ABDhCPjwqywNnl6NVS+CfKTq8E/BrPsifwB+Vz5FcYwvrPIgjnqjNqG7GvavyYhzjIeI2kdTET2cIwpeiaNCdK6yInot1hJdjzD0yI5GTRMorhB1sVPNOQVEyUkKrBHfQqrRvgWxCMAzjjPCEiy9jQFhAi7nsSomdZE6H8JFFLf0O2dfBpVwYVxaFlxO8CQkzS7YuWI9kL5I1SpexUnYD8LcMYKuol7ZJtBL3SbiVNn8IrLvRaMZTZDhaj3Tls4yZUHEdcioLTymcaD/202XBRGTFkK52Og0jcZK9WqBOVwHBP46g1TKY30Nsgel8iGcG8vontrSWoVehssvSXJIi0419CyT9DKDVZIMom3rxyhhk8C3TrDI5JzELWqEjRMNQOMxEbhjyXoQ1gXUaPlyP+UiLRTRWw/6h+GjFBNadjsgEmw3YQJnhU2oFsLLL6kbi09RByCOVgydw5D9tRmolWxfDQwON2uCobmG9CLY7ZQUpSbs1dR3ohrm1VbLqy45Q/wCczIZFt8G2I+BMKCqFlk8mdCnWbfBPuCpZzr8CS7DWQnJkXEavYZtRKTI9tM5yirMXReLxuBoSYh7NhoRyQh1GFzF4RRFPp6M5FaEAxyt/RLfs30GrbPlwKJxrwDZNVoQ+IyH57PVp6NDN8KcLdCwSM1lSIa134DlYwF1rRhM8/wBUKlXOXb5Gdi6IMWWQ8pWPqixYMQgFDTIjf2CndG3KKYOXErRcqF7R2ELsopuwUjGEmdcGQH8MafaX4O875R/02N6XwIKap9EYuuR8qmlR0R10hgWG8h1nLuoip9g1cPYpclGnGa3qD+MUWROIm2GRxbHwmtWjInrIOB6PlsJOHuxMT8HoCLvmBaB6t2aQ2QQbZUKJUJPaL8ScINLOwybfCtd5Fg2wnTojCclTHs/haNV8HAdAVISFW29jODYCpBnEHmQxwJFRxqNDgLTotUVU4KHBLvY/nFYSsrRG+SJYTWiI9xUybAhSBASX6GNkS9M2mrYyKlwW1fQZDCeRDdmx8DBljbBlwV6qXBwdwLZhOxncjtAZYOpNHubAwqsOapAnabOOyVgrqM3jNp10sK1jiHP0GXBwsGZu8HEAjWA+qHy30Pk56GNDnj+i6ol6F459iljMEoJ1u+h6qvkrFIewrI7UQnhRVeIeXGJ8/wAE1Bo7gWUYuhVTMRD/ALBOPVi6EpxtOUYUvHBDbINga5+xJ+gSRj7C3Ld+S9Gfk39cV1YL5ISVUUbhQG1PRPzIOtJsOkt2OE+By4iKhrgUloQdEA14o2F6CECzxvYvpjhjI02bfYmLvFRpNUIImwWoPkCEocEGqzsRdBCYUtVc9joBol8GWf0jZNZSjJMdISq5o9CI/rISSH0MUk3SsdELihYopFSyMSS5+SC7M1oxls5QoYUd5rozAqUzPEM9nSMTej5FGB5gvofZsd03mNJ1oamHgjupxLKevhP9NjuPw+CPRziDvdIeDQh00Z7DcQ1ocF4w5ZG8xUmTwJ6QOCiXtjrRiL+CWxeBS3cXJWCrMSvCKsLbRkWOD9iOIRycmrs9nNAtDbdFxCvWx7XtjTXI72YsyoWHSKpGicTTGdQSW2ZA1aQ/kT0hslhnyoawRktmddBBDFlbNoHAiZNJ/nxGA1i+Rr7TJcCk/IZvgBwTN8G4QcfJBIpGU0wuaHCb2Br3qP6AHXouTtcOURrcBOQKIuchPdEjQIWDIgtZYDzdHZU0jDkOwce0LYNp/wAs0SvywD/+wgmQNKqQjDVgNpiwYtoUUZNca5MyeBhUVmxEJ6GK7VfiZGJ9ZaT+RE0awVk1kYaLKTS2O3tEeENUGxCSjBKizEWVB7fyPajKbeEmhkMQzyPgLuUHQBWAqaELYZVGYDI1aCZZ4IoONJGEYCYnqGr9lB+1TaHWXryKW6VXsyHc5wM8Zpp6ERWlrQnA5Uw2Z8boLfMRQXdrPHMwiEjJRrBixJHOlO5EWlVyaG5kzl9hRJNF4UHvKFmuxzicixPFSMMrkQCFchLVCGQwhcx4qCwO1HjDrINZ2FhjYxXArgK/GYK4abYQr2f0TwvKCOFWqG9wu2LTgKZJyE2AELBGRd6Jh2JuRycMA6sHuSWyOEtQDHutkh8f1gxIm7hxWjW7FbYvsbB8B8iZHs28IUdUcrFI80vs/oxcwEIJAno0LMxf0NksF9rJrJbLSB6d5gL/AGAhnVhejEoXOC8f1AnS3z5HHduOaRHzC7D9ldmwP/7h6BHTG/CHCx2RscD2Qdr5DLNmQcZrv7MGECWitCMy2nySQqWz1CX/AAxCmF0emO8nuTFb5bB5ARcgadFm0ejF1dM2zWlrMqfAiYh0X4HtUd0NekOrg0xkL2vm0fe3kJ913Z/cmELMNoOInbDP8A5rV9ihwOkQzQyjeh2lEyPZCs2EoOei/TFjaLwn4WiB8mbuBBVMkxRsSyLAbR5+DwQ6JdDpeVn4Ie75p10d5Tw1EGT6R7y6GGX6OkeIKFpHOxhHXIxSiZ4kiHwHzCF4W9JexBSoCpMGdDrqNIjxhOEwh+VmUhSjfjCbnrYSyPB7Rr3J2IedE1w6OuZwa/8AoQaMXgZtUWrgZo3B2o6x3NPfMBNwbkJyQrWQ8N0bBlLJ3D3oeWBSDF/AqRkyV84Gt5MxuxgQRQdUwJA0DFzBe5kO7wZIkLxy0Shl1FVpokhZMD4zcgyvuFzkxKOk2xqarw2OrL5iVVyYbw8saZ04KbUr7mi18mm4wcoJC5zLkc3QbRcpj7MrtkDANtEEhK6QUcB2NF/Y2+9LpSvszwZvBklSXyO86yyuCLptRrQ4k7WuAx1OEJJgycbzESZHhGxugVrYykhd26NTlcDu8cj2MWtLyQocCM41IOWlYi6blM/qd5jjxdcE9aD22NSKZIhfU+LZm9x1swQ1X0EM0sIHDZlqjaMwNNE16FlWkf8AUJyElioyCSS9BVE3wMj9tsFb/wDosQ5KL0U/sdYfNgFpbXQpJjhjimLyCSshIaZoVenoqwusD90acwYNmoaawwGGiFo2fItDJcSEzYphbHYXVCMSxGmqUp7Tnt6mJ0xZsqVubGN3BcEhtWn2Ex4fImhp+jFEh0h0YvYs1RaNJ2n/AAM8qs3rBg2v2hlStQaRnPVoiEtF7XyxwCOmazgJaVJeB2yBSeWj0uiur7GlNHQvozcoWxkJCqBpMGkSEiyJ4iHZDvQy5QwMIWUYtQNJDPRVMtm00aPRGw03kKolDndDkuFlC7CMOjHJfo/k6LhvF2hNbfbGL6gS8ZQuQ5gIimxbOb6zkXESIvN6EZ9XI+4XSglIb0XB7YYqXkN6CHPbl4G9pGQmtNqG9NN4yWYqbY5ga3RaK6dGtroclRf9nFPg1cSBvsHy38C9T50itu5CcvYavZsFkpuG6yOCRtpaSukE0v8ADIxF7HLI1bY/VG+A1CBNDMuD5RRTkaVsHqnpjb+khf8AQtpo0kg2RtvktKsfpTFnqDrjx6MIVnlmXI7q58hLDNhoQE2RQTRVkaiMoXY3yM5RARG4Wx1n9ICgqwJWBPPrjjYvYt4I+F9IbXbi+hYAxOl9oa0d64QptoW0hjQrXNjGtbuiE8NoehPRbU10cmK6GBydDXiq3F6KJN+HcRyhYeKH3QnsvkeTP0NTgQun8KHEbroVm4037HCMbbsbUkbgq3aDL3L4FCsb2KvgpfleYfYsMb6nQvb8IYGJhy0K6dlHDPXayoVJ1TzQnExhY3DlYNaYy2fJpgN4zzCjarng0sjVVK68DZbI+i7YaENOMWiZ8DfsdupuDIMGGOjKbG7G7Ls9nIY5ZoIY6A/gM0MuUKayEXEFKVhEFFtwNLHGkRet/JtknGjU1p5ICTlozMB2DZgc8LfBBBmtjDMV2KeW0YDwIqN4oxwC1CrHoWadexrDdo4v6xARbt6FS236GwS6XKHqhWiQnquvWBfiiXGBnsjTgeDuJLJm8OD0QWQ0hObn2jaXwwkoNPbFiWzOii96iJPWKto2w03ahqhAzeDKGdCJljpEM3kLkZ6NfBNZOcYOa0Foy0O8zyZeUY01/REy2YIhngvk2MDmX9RgbfaRsB4UfGeBOxAt66EuAKMIQFc9UidxC9WzW8MpMQuDUW1RN3Ydt+hN12Nuo+vCc6pbUbNoZlffF6QrkdXIxYzcwxQcxGA36CK2ui4Lj0JxP4I8h7j/AAvn/JiSfh+dAOAtx2JFJxFN/wCCu/0hCbQgpJYNT+EYwKpLgVreLo2xiuALtfecGQqXKgh0O2jJvyCS2SQNWLUnscSqjPphRBsXlTQsxS8C/FcHGGYxXRsxzcBjyAQhHBFK7N25Uair4JP+BrBTehZjUznikSPE10ekb7L9MlwPM47hkORodDivECqoY0KeEV3UzkFCiGqT+Ciyi4+UJhJMc57KE0qow1OUjQaRlPrjuDQNUW3EtkmJ4tktsXh2YW5UQJXMFyVNtZFjXBCIBjmhnmybLKMvlK6WdOOBBqPV8i44ZQIaJqQyesmaZk1Qot2yqXRaaDDP9iNEm2KoT7DEmKETY0sj1BVLcQTXXjXA0wQMw5hBmMdNFM0eucMplhAZGpns1+Candmdi26mdAcAfIbvk1iGUGomkOSKdUiElImgzGqhOZIiOTaOWvMMwa1PnFCSSqQdQjNchPmPnBiZE7COxo1KrKiglFlPQyWiFohnzDakNRgOfiaR0UcmtBQjIErgr4LwSjc5t5I2XMjjFiNXlIJNQcFRnfPoRBR+bbEm/oEUkKV8Nn/uYDYk/oYsbhhFJ9mbp7pj7zslAMNxJPsVUcrdLFsr5HUjpPQxQ/xj08hSvLQa6MZLprJpo8ujnWUTbMXoDs5AWEhgEooaElEmBlBZjShsSNTh4DD5iUaxkh423jBm4yyUkTX0MBm4xCQajY2LCcq2MRQRWZk4Ihzzba4DlZk8DCvdThfUpic2GIIVxZ6QeWUb6DC+zlCpwz4KLwLPAAybDG8oRkjmqMnODAkETbC/WYsTjVyye6YIcxpb6IIgGBBsGx2lzvxpLAGOuWwNxvB5BkEmGyNHRUxzwp5aGCcG0soRI0w5evY7q3G2WzouWs+EM4TkxsZCOAYpGj2oLdtzMIJM+5k5ONyKJ0ObotT3I9xWyCnJsQLInALskcUWx/wo5DUaH5NjzMePCFJXhbGaiWrR9Xoc8DWKWCz8OMvD+G9HnAr7QsQsBloRUim9MZjAEKE4baHKZNIJcNURiJDDI8UQ2oc6B8SV3sO+J61Mz76tDgjAM/JrdlCe8C+sNUpWip0fqTjYsCTGdVzexU1hrfkL4ehwGQykHgaob/8AHjPPjhCwDg4VZ+KllkNP5ID8OVoOc5GmB6jRSWRLIbZL2hBKEsmwfeW3BcYpZ/HaozUcxOhuYKSeLJpT0a5MaQxBY33iUvLcGXOpRNB8EE9E+pJA9gZkE+RhTR2bgfb9Rb7vmQVWjR7hjEPLUx2JJtS9CPLYMOabTUYUyDblsTGKQfSUo5exVgWi8mITMjWyYJTFFrpCnIynx8gKBQNfAY1GXSF0qWtPoZxa15RYIJZXgcxi4MvwRsYMvgSaJGXN2u+h/YtZZt2RnmS+pBkyrDZPLnQSnzFacMI2PUlge3W4MeDslQkZE9NEuMfggL9qZjGql5Q7h/b2LYFNtAhqaoz4WRGprS5GQTPbEEWuBb3sTi0SNfpxFChoXp+cUJk6EH0MIsBINMEHRNaVUQPcrKEgyeagxvWLRvjwESR+kLlHWFHB7rMdSEx1YUxwFtttfshqbLJ/Q/po6b0h6bvTOao4wJ+aWJDAx3kj28JTDw6m/kPYLVGosmTBHbGVj3Y2wTKiFj8i8DgS0B1+PGW3WPs4n6UGnZkYuL4EmV48LgwmZRhkXo7hBWd7DEouEZRLGTKFG1OC4VmcGa1axkmLA3YY3DXIkHC8i7w1pPZBaVuDbPWDu85CwSaabhYGLyzKc3o3vqpr0/wdpanLeQWm0Xy49hgEmRD5RjghO0DmIAkttBbXVFWxNYDeQSHC0M3vwVLI1obfD8M9wW7Mxwh1DNgTt2hQccoU1HSnwG03+lQKuSYdhLmgpgFxGFVjCzLF6mI7bQOi4YTAtF0UXllF7Riw3orimmhqX8DURPNES0JEqa5pishwoT+JXsEhZ7VoWvkkQ6XAXohoXUYiav8ApusphQjEwr8PCgrjfZgC57L88r2UV43GM55+xOzq9iqws+pH5g0aKtkKcFhIIFtCy9jbrFyv+iiG8QxcYryK+TMUZT2U2YXjBzhLJkHGZTSwJg49Ii8lqEUKuDH0wUEngvi/DhwJjQ1EmiWyL7C2ER9BxhIeuLk+sjVShEtZiUNXWMWB8MlgDejmZmsVBLiEQbXcb6LNhPJ8lIJZeQySbrwcipS3m0QkiLlJjVUfJEZW17IbLwg+usNoTJksBQGekFSt9PsM8RvqNdo1nYt45cGVODsAlY01L29D+rqh7FMXNjnxTAUVUy4GYI+0W25Ue0O+4s0OOyyFMCiJDWgaeQt6Uba+hg6jbgu8LwOlhDRYqEHwM8CqNENQgNqYweVyJ1EIBudo103Hdu3jbE5JhjkQ20UqGheNRXTgDaMa0XdFLpPL6FyXKXgGjJqxGNLbY4lRtw2WSH1EIzlE1UTQTvgzU5MWmexS3+hH6OxtoUQv80caDg1rJnBkSNiHJ8I/EMs0wCcEaUZMCTZUpTaLmTJ524PArXg/iFobh8ctgqwRw4TNl8eNGI6HhYGOgqjqYKjZtvwTsi6O/hkQMGXhjaTEswfSKdkXQ0skM3R7zlmdbgSS+B4zFMM4uB7qe9jGa/SIYnY9iUK2zZe2KVOalunAzdlg0GOh8BlE5E8PIG6rbNGkKuP9FlFExorcmm2egvUXdwiYY1d3QJ14oeBGSfHPBV3NlTEp1oxBwJsYWhlEWCFIR8lHIxZYMC6lcj0Zm7rxdEDFTclFuaC+IEzhichT2EYFPSORliwgjLxFSsGYQkMXQOdkiGAyKrcPRNJHYYqJ2siVKmbr9KDBup/T/wDqH/uI2qwxlxrsWTw5sJ9laW9XgZ0eFRPWEcvfQlqe1GBd8DxCUcjIWXkDtHirwE+oZf8A0j2EXAgqGaehT0mSb0VY12VxTcDLOru2dp4JNEOAX4eCeuKNAPod6n4avY1zIMpQovFg6QeZGVwM+Cbk8BhojkGsOkaGIlg6qkuguILCychEhYybCy4zJokxBM4FtUZyIacK5814+gRJFwz34E8QpUyJZLwmgGN4eyVxvo3/AEKZfArAWXyHskOWKL0U7l8Cm0U9ithuQxYry2Mp7YbV67K4asUMDaeWBs7w4FBGuRh7EY1zHsSA021RQOVQm+rgSodp0DL381nZZBCo0GEtr4MPhjB1FcM5MARSk3JM0shOSEvVkbvHsc3zGGORT7FDrnwZBVYSGHkl78GO4BNdQhavE9gh6EYwPSCfBhpCsRE4LUJC8C2KpNkFqxusfXEPQmIIrCiKFwk06TwmigQ7Osx+UXcm+HR2t7E0wPqeT6LA1WRcPWFp39dmLyb0wxo7QpVwhgOgjkItwIqDKyCyxPsQWGaQeUog2g4jAski0VnjAwoyg2OQuRPkuUIkuocdcBYqhwHtr5KyVS2PfImeaJ+RerEh26OVlku5H4IUXhPMro4ERMmQseH2KsimKohuko0sGKjQZLZhvHhw9lCag5kwVQztFOSoh3nMrbYi0E2pYGkqfQuiUg6oS2sTyEaM3XgNJSfITQzS2MRDTiMjazAbNzeFD3wHRC27fKyJ2WWV2a5Y3HpRNmsjxIWuxEnATMM5JehsVsTNNo9BXmmncEGwYPQwu83oF4NzwFFZsjwjkkcieh5gVhmGtag1k8hUtx0PORtr5EGGnKEpsbhyV7MEfoTSPEkZFloWMfEQ5bGTxTCzoCY4zpCGhPQToXZDf8GxoTYtCKBvSjtHDjHJYcxnoMRZUmguoxprXSIJM6G2MdsQGzgwUnwJJijMTPB8mMHOGYnRD1gx2SrRkKZKJC2HyhEGsQZMjE9DroYCmfsEVYlwis7fYodOmM7XIGH+uyL0uWMZRns4v78DhCfB6xtLB3Y25C2oqsDjRLLZ1w0bMrfAVRDEYq+xQoNXyNJeCBsuDJkYyXIMOUUuBUz/AATxIcwF7lcEGL4kW4DloWpdBadghOCSEjDgU7CuWIPLkaaTt9mf48f2OzOFTIivVtimHQwgORn9g/A06siYfoJkkMRVVs9CBDnBelOEEcBkHAhf2I1zuDGqNPlMsSyFSTG1F162JR87Y/6kgZgXIMlkllWZon2coaxjQ1wfgeHTJM7dIUwqZ0IuCHhkQQ9JeLOjEcs7SeA9gjswdoi6ExfY6oiGhgg0OMi4xSUb8Y914dSlnyzY1KGBMwlaEyekxyUST8Mc3hfo3OMMLyQwTmesZDZgaXR7PJFDSOkuGUYWsEGRaki6xcfijaPgKnaNJsuu2NViShi0IVUIVA9c8RZSmmgnEEPRhgbzPRh8YKmlG38nrItOsCXYYZDV0oxKGTCsom+0PnBgxQZCdwLYmNJGpgFkxZizlFxRK+PC3kYjOozo5T8YMyCRSfoFwJfoJcJaKulmGgbzE6VMTMi+hh2HWKtWySCDyWrXIxgqQLp0ZD5SlkhBWpTA4ZrQMzcs62Yz0MwydA4Ays0QPh6pOBS7fvL/AMYvhGPorWX6CLFyvYZYjHlRO9pt2JYPI8IqhN0DasnzFBlsGOSHIujbc9FrxsUzsZk1BDfIpqdApqyiwUaG2CARsVXRv8BWEcdFcjGiiH/sfgKdhNXYmDKdMse7DSE4pTwUMDFbKcgWVGiGUGuEPYyf7E6BqVDsRkSb2LNj5xi+HZtg1pCJT7GCpmIa4PCqWtBxNrx2vgQ6QadaPfjDGUKGg5EmUKkE8+BxpK0hYqL20LiwsqnIzKFAs1B3Aoe9x5NJJO2GORFMkesS4CGoywe0Xt4EbQTqjmKVuTtCSNWkLyQdUWykE3A0oqGryPjBpyHUGtBlGhd2IaNwJlMYBdErUNpoZtlR0wyQfem7hbqu6Z+DeCF6FP15Xmmh0TpGPEpk8DKiM5BFVqYoSktoXxUuMMSGy6LBE/kRDulzhyHLpLgetNU0bhoatOZhp1glUvRWR2S67BDJm12HAW3pswlERV0K4MYsj6GuB7MhdDYuFPkDlF70cRofFLZMdGEEvNKWhJouN8DHljZvBHMiTMEWUdCHEKqF6g9dYxZY+o1hmhoQQmASFMiVrwMbOKDU4MtjzgXdSx4xsFGxJdC5ET1gm6ESDU8D4WDYFrHo2kMemhtp2kaxR7EXLQw8Mcxmz3wsaOsUxLRbEOJZd0PJISnoYFmTApYhauxsjhIxCdSzMdGDNszSssj7Nsizt4yXklil3obYkMVkathfZIb9itG0Uwh5qF1Tw3aQ2wem8Cmj1VGiyjHhDZKjG5GR27MVDGA0grk3wcgnAcKBmah1xseVlmGLSTVcoXqPyia5ILMhiT2MOVI5Rob6wYUjNlhx2qTH+NAktHDGCD9kD8MfnDGkIrgciXIPkEAJZyh4rFyE/tHwhsa5TJq6mSkYLmyhXMo3GY25KYSpvIxdl3siYrovQTHBCVMNboU0oLfI3EreAqwYlxDDUL6MtOkYtDcQddmfLHZSQ3G5zDjHipdEt/8AwVdimqZbszRkWjKjarNGwYgyehHuCN4U/D8bejsZMhROMr1kaLR2Ru4rDRZC2TpHE0TChyaQ6ozuPAsXJoQxWJxkFUzI40Qlk0MU6Fywd2Zck4NCZvRppCULYxcKEvRcVIrP4Kr+xtIVa8TEIeCWERbMQcLpjikWbB0s5IbBwCDO8cYn2cQcYxuGIwosg0yNbQ1Mei8DokLKxaNMyBmURWNq6FcuEfIpzvKI97ihur+V2JNfz4HqrLCn4pNMZNpHUOcirllrlNgtROoSrftYooAMRhe0JKZdFgDpClX9oSZIcG2W4zljHgMvMex74Jq8C3voXVFezdWRgEhwMNMeLaSg5NTH6/BKITchfGK5Cdjxok/DKTFIGUE9MaZZasbEwZ6tF9C4dxwl4F9DaK4Ckxgl7jopgyFfw/6oE3hI2wNraeiknREiR5I4FeyB5WS4iEmUbDJqGmRCQ7E6ljL/ALCv+ixiM/TkNEJy9QQzf5GOOeiCVC8hpG0JeGBYIbHgJQu3s0ZEUhIER7iUxDjI7Qw1sZdISUQUGTRlxubQ0cHGSLYM93iaKXI3ZEoHxh1sZXQsDqCVz4Bzgx4sku6OkK0oRF2j5lHslkhV7G4w818IXJsmkUXkhENZpTgT5aHoxbToRTGxclqh8U9zbKFFd4pGa4WoXi8BCb6obxVyQZiq1oQnFMQ1dLb2xpbmDDyRvULNmCsEdjpphHlyZ8obItoWbKPaQaxKyYIt54HhVnAGojA4UEaJipgdm82OasYlEwbYI7obGn34z2NWw5wyyDGFcDIxOLHSj0KLJIksshUmK5EvaLy9ikN2I0YRG+0YrYvaDhv8n1gYKjy+hdiHonkjCbT0NoRsN4L1FS0aTsmRQnkm8L2OQv6jGSfLsiVf9EGRK6XnklgcaK0YEsvJmJFWYNSwcTYj6Ers7USPkPOJMApYpXUYiB8HyAMKPCGtnpCTqNmHYMZxoj2bCQ005Schew7eDGGEIFYGE9yK2hCyhDok2beL8bH+/hdrFlDyOeTNvEuGKE3g2OeBsVVr24LI0CJCYuhiZLoesVkNVgwPi6PzkZTh7SEg1yMeh5XR86GJkg5HffizsbeDf8CJrQ6jBiWxqFTargVLB4N/hRWDCwQLE6Up08IRLRqamk/8Nh7/AONWvxaHPzqLwFsevHDwWpuJKjiVYq5MDNqjav8AIaf+IvlrJErEQ5I68OgtHLwbsxfwGchjyZqzUhRYxEzINxRkLgSEcHwKqa/ZqNTXwevMReK855/4gSLtozdWcRJcCh4OoVMcirgLkezULY/wN/PBz4u7vwMxuOtjRExNIIjwf//aAAwDAQACAAMAAAAQ8YPwuQdov4GZuaR1JH3OpgE4SRWg/wCC8c7DFAoqfyJn23AgDufEAu1vED/dQtObGASAGG986vB70NT5aKM1Uh003s5oxcTFmRwQrXDiFvAPBcmfmrCeXrTW9aSZeGrHplgSAmAVKj9vqcXPJtCXprPJZR5SXNq9iLfH+Pypqrbzh1Q/323LzxQCsiM7pifyUFJx7oHhLoRTayqikKpZgvwrDKSVvEuDjBhLKZMe4LSNm0HQq8fw4Iv6ZHrfzZXDQFjo51sGAiSmS/TIT93m1sWDAsfRGID1t7RxD4YWxvumChCMqnqRRygmYdrWxyC6CMxtwGIqqugIDt0cdmshBon6h7Vx+rzmZ0XAovQI4g0PJjv7xEROSB/XB7o1XRT26AGYkZCDE0nnPZaExQoJ50mVfYZwqfCCCFZFHGjD4bTna19BAR5lIs6Dgt0KRww98b0zHd81ec+IFBsTncsaEpK2a0LuQ/el6BAEHbthXwhjaSGni/SiXNehWLEpdSzb0zuiJ0EuXH+NQWh0vONxFV/pV8IWhow5oOfQnorzEo6RJkov9d52PD+Y1iV+jKtFqSRyLPJyIkEe+0NUY1Mr1EDDYDBDblqbbIvNMJKfwBrtXjk1PNO7+h9I0yYgcDq4+cO3s6yPqTKEl3IPPUkOGWpxtf8ACy92QCWexRn59jUF1ww3DuUR98TSMXHcE8BbXF2ZUOu6EvMKdtvleaRXDdzSffPUyM54+qGffp+eJIufCRS8PsR4E8LT8FccdPYA3gGhLO0DjgbwXrX/AKbsasb3PPR+WBLa1SAanUoB2j7yhG7SlW/FO5+dQ2luzMQ2Z53UHAFgcTl3Mz+VwaGLDp4Zmu/Pv0PBt69Fy8Qn1cyEE4G5o07CIAD4/j/GmqwUizdExzOAvwuVusgEXcmxmhXHfxqwxSslhw6rHQSwZJzQ0u7iJMs3Nf8AyKh7a/U4m96ai5vDb0g8cBLAf77OuH/CKF+IPtQvCpeET7vVZvQakM2vCeo5c1BZce0WW0DczCV8H3xoQHU84V2rC9M/zjsBG9jWSfH1zMke0ozKR69iY2z4Uxp+Rsuev1tjTxCzI0IMHHI5TnEnhGUFmnzO3LWv9ao9Yx05eMqgtSWltKCkgNXunwhA78m0xHBRmyYGPRBANU2knfe7n8ODLGjhxXMBz7GE9LXTt0LoVi4SY1l2+T3qHiiLjQ1D8qjYklcvs8ySB6K8F6MkT1Lv9HpB+EwV2gipiTbDBDb+EQGcLGl/+ekFnF3R912Umrxq8giM86+cjJjx9UTDAnwTnZSzXcKJLvpNQPU7DU7OWJ5GucibQRFWtzlFAgL70ye9fxswwnf/ACGddv4sV2+lOusmp4YBwaz0HEdVxDYY1zX1qxOGYEABf/c3EhkPDmQt7USyfOadY31U4ifwtYnLH0/sLUuazKBIbQYq1m3OfFiGW6k5/wAE2s+oSAALQ13tIGh+didwlnSA/diGXA9/tZGwP98NdMgkdRblOsis7ukVJVpBUF6p6qBuCLA0E8uTedCP4WO1BGB4dy6oMtukoe2Uxt8o+LKX9aYgvyfQYg3pBlkMQVIQuepwkE4sc8Seo3mzNImWUoBpctBZqXYDgcg4iEqGHDbwQnOIk/cmMp+MplvvdeglQBzrg7mL/sh3KOLnntUAEFBZEFgxdYaKmbmIBiLHlViviggczNBEZZAXRnz5BVP1/Bl7kzDvQItqR9hsye1m4A9vRLy2A3isrECWikeHEmAD01bhjvzgglJG+n457B56fU10FwSKEf8Ar4MqXxcZvDVZb6KG49VgJ5QBSn3h6qXcBDzZ1iMtZlmki8WJSFokcAFI5sWVG8KO7qiC2DYpCtoxxyue7udPHYZJP38tYEXi2w0deLAX70BqFsXHQs2jqlgIHAq/I3qtekg9lm9C6bXKL4N1vNyv/wCr/wAw0xwcdTVKAae2qcNtxPtBetnMtoW3e00bu+sGc+eE4CWnZhsL4YKl2pBqK5Egq59h93N/oD4aubY7edS+XiUX+BofSS1wQbkw/wAqIf8A/AMv92Ug/m8PxzBu3ASpAo7f28fdZ1otMxTiVLO0DYJ3VSMN3earJRDxqdD37LnOx4eE1Fg3hxNIcJrySSDsZ49RgtqmRQTRp1mtTHVaEyszgZTDBR5Fzu0RBMDXMEKFfU3LtM0yCesUtpAbbd46BAttjlLAFBhts3b4pSVADRzbOzjnOMkv2yz8zMXk2xmQhoqbe4TaTunhygdXHirVpNv/APQw2XnziTQLWMR5nZrK16rtTDsDRQqyV14kyXcJNg9Z27qHWNoBQygkEocEEVM46UavXPcztaFCA3pZc7U5uGvL7GIaGV4qeuUrrHroqZ71FrYr0pDfN/M+wSU82U0mbCDraRQyoHC+K0FBkchtqanvaWoNuYCjwbAjN1UesZ9K/ijyvQzUanlnC62J2FLxcM7oNhxShL+TyBckdn6eX38DQerrDyvnp0yakdolgUV0VCJOaJszbhNfhhoy7JCShcyEI4kVvMFFEpDU8Za1yaz+96jYFcgOvXV4/VqQ/hkMm5IHEz1YIgQHoxJmdsw2r9vzQ4r62v8ACtGZ/wBjVdeJl19GOLarA20J4qbW9PvL+g4P7UXfewIGFkItG1DEkc51b2H8hArlEElU/bMgmyCsKOlkGsiAZ0pDzHU2SbTAhjIyPmUo5BGvjlZPt4wzpy8X0arNpgAklhVyMkuIlNiNHHhS5fC29n7Z2hV/oNPrsEqD7TNdvkjgkRoTScxXI4DF0KqzDjwCR9qYywLP8DeSRIS/V3/zSEL6iRDEWCvY3j2wtmPTdaO2GawEHDLzCg630BbwrF6HSG28AHcBthqiLcF3p7mRzFVE81MlByEzKUmPdlnyFAIqqtebLJcbyaY1IQ4IKSfvg+QHUEKioRms25N4WPOJc7gWdN+wLujel5mYH7yaZXOmhfWlS8LyiRoghjhucK26O703DVizAmxUXFZYM/IbgKQMlnVOdJ0M5CWTeNfn1nge/wAff2B5SPD8SzfR0mgeltVijZ9eNrVUW1y5TRppTl5tW6ndCvoTzsnwTgYMzsbl/ZSxk0PttyB24FeXvJLCYljmIVFTP9vx60fAQvg/k3DBbLfDliD/AOmHaRl7B9CTMAAlavbp8qHzUg8jyEVnH3PYHQHIgHw44X3vgv8A7wIJ91z9x572P1x8GKOCEH7+IIDwCF/0N6OD8NwJx8Fz78LwGGMHz90D/8QAJREBAQEBAQEBAQADAAMBAAMAAQARITEQQVEgYXGBkaGxwdHx/9oACAEDAQE/EJarceJY7A24fQ4u17flhqa9XmfJ5r4/XkvwxxJzEj6Lk/i55PVkvK9XqOgsv8HbBh81fC40/sNRyfR79/sOxPv6n3sS1ra9vFjc2Nf8EFzvx2/wy5FtCkZCowLp/HTPhZz18bs/iDtbW9n21t3LRDLxKHsTi/LONtQPszq/tJSDcaNItULMYfNmvVonJOj/AAPJ9ghkGyYSzSMpY2TScw9teheBjj7iTHGPo1/1a3+0Ty1+bMZa2bZ9smwQ2398TcvFrao+ZLcZGYPbpyOJO5eCbSzcnJPErvwbt1iwm3ouMz5dlaLs4Ofcpj5FaF5CB46clZkFaPiEBs+Qv3WV2PLTxavZxk8gY8gOQoHsInkdPdoHLcQ8z49nwomF3N7MNlobZwnywYnkSJOuTfVhceREPzHwIOwBIayXWSvwbbITC7kg8hHtvRkzZ3e/B0zRIUkr2e7+AWWu36mHyOzZQYkEkuQqQ8lGUfAbcx7/AIKbMuetgMnjAfYcm5jk25EZHXtuZkFpw9Ans009sAezOQEgbYTVyOe3eEefBF7BHIP7KfIKw9tkyRSKHaUx336CnxmckcTHtvcv6Sp8wVJcu1gDYvlg/wBrWf1A8R/VwcS2G8kvZ67MpQMtWX1aQgywpV/gLk9kaEjcozY7lhvuhkRzsXhD3Ilj7Kjv/gcHNg8Tgx8pIq+wKBrNOxJiRvzCF+WrT8BO7LMQ+DkqnwdWwcihQc20XL0Subbd2exzWF6lrZC3z4y9PgJajGstXs/yxm/OQkCP2K8ZBiQ2P5NA5KlkbEuxhkbFs+IV4SgygR+SW/ydohU5kTH34g9h8/ZR2DVxfQS7sJzNshtyttWk0TlsP3dsztL/AIE1u3bcHIkIp18TTMEt8TESbtxKQGbaYP2X5ZsQ71f9fGUzbX/yUYYNJJeUMJQyOrC7Ci35EhWPF7YTQfEf+fE2EvJkdyWzZlSxCtAtLpfUeryiXUlK/nYvyHNSf4AhY+S1uMDqybfyAQhvG7OXLFjAz4fkX7L9j5rP8mbvkajg/wDsZ9mZOjoZL+SWgdvUWnz6Pj/m7DOdkYTPPIhl25LgljcMti0fYW7vr4IxFEL9Jw/jJGrcZ62QiDZBcbMraaPf8T92URJDqLSwTEIm4p/ql2nv2NOSD7LwlDz9hDJvZPDELYsT6SJiC8ZMz+7jyJL+wmv5rZLbL/evLA/X2yQ3aE50R6n8jsyTnLVqR2HptkTPflqhkKUEqSEyuwMk4SerUQhGx23uWD4gcCJowExAP8NaeR8EGHxAxZuZIaZLhkTRsasRCR4+bMQh2cTusm7G/FjfnJMkew5y1ccbuEhE2drM5Jp/ufn8EH8zfof/AOWH7ZL/AAIbFdb+BNhRWgTkDp5Zx5lKyFCu39fLlMg2LIp1gtM2xSyvU8dgfBZ9B+IlsnYLls8hhOC8D6O3RjzRGP5wcpbU4Pk/NKZ8hyG00d+KRFN28gnpGYCQhxhGIs6vZZKW2ObOhAICuh7bGlisk/v5DhbD/rPZfLZvLGL9uag8pMh7tlvRCcMYsXkm5I8jBCQpfgtInp5Dspo3QLSN8s4i4OaQDS0Yv0Izki4S/SFu+JIJAu/EpD4B8wsY4meuRl05FS5uj8TbHZnv4P4lImHnGFv1I2ceSj2SZ5Lvbt5GPiI7b/F5JloGR+sryCfqPZeyDacE9ddkvMALe8hAR+MLB1MuOFkGYMNnraXHs4/GPoz0GW2jJNCsog+rT+RQwgx5JiTlZh/JB7be29UgZWgwEG7dPyV+gEFgw588SbePge2kb7Ee2fv3SPeR58HDD6XsjY+402efoN8+A9yA8jDxdcJgLP8ASW8/LOOEmcGORrE/rhXhfu2X+F2mwMLW/A5HtjeW/ScNMhHbF+B/TE4dXLk7a5EHLOHZHGRGWal2Ehs5OPSSaF/skPsiHk9fuRO3Xn0ay2NnFjHEobkLSRCHIeizg2jKiYXCFOwKw/ry7ErzuiJauJExmw+ouD2Y/iyX5eH8W/Ij9tfduGzOfAO/PMPr59S5/cPhhjZaeF2P5O30SQGLE+ALdEh5J+Kvsh2whl6HyHtkbqicqN5Zs/wPseS1ny6XG63SOFm2paMtcXG4/OJkTQaPizt2/qTe+/vzAiuf4TQfk5hVs4Pp5cWAmZ8fJ9+Hy3G3n/jsehFu9Y9PvxgE+p9U4I3/AGR78OotX3av9lQz25mQPCDPwyXJvNey9Udf4X34+U/rRnya7JoIm2W7AFhfv39fOh8IHBB3+wnH/d2r1aL8TzL2YB+QLrGV62Fonz/0W+Hxl8Py8CafCcj4fLpRpaPzU+XjJP34IuSk4SFh6C/+oOzrCYy44QpZ6nl/SW02/ifbyZVqgdP34MDEakD6DMdvkeT8j8MTQ7D+oRksb+whuW+gv5y//GltAX/kKAQOP38lmTK4pMDr/LAmj/YRByCpjGxmqxOPZ/uXD0s/5QZn/wCZPgycxNnGeQQ9W2TgxDj8fIXy8IG2v0aexCBu2TOM+vz1DKI5yGvEdP8Av9g3HPA+W+F8NPH8mgMeZ5kgnbCKd/LRN/b9CFHIdYkIPyORYbxszktj5C2xYkZ29bxQ7klzY62NrMdmGHjGzsYNj1xjjsKP1bL7a5kGFk+IRep+37MWbl+KRaPycY92yRg2JI4cbsbkAyMczZQ2qWA6REHYITv9tt6kox/2cn4yBPkbsmD8TLYOelod43H5Bi6XN0vUa4njS7HeE/1/btU08/LB7r5GAQc6f7nUq9/B9HN/3Pj/AGX17ez8tTlv9QfWwOtqMvcdZfMDAgJ09lf2P6sMbctIbNgC8iYzRt3BOEfboPIQZ/UDmc+HkjnKSoOjJ/iz4VC1LD/VyNQInydwy+j/AOsK15aIfSwfmEe97dx1hOkYRYe/k47z5a8fKcIsidl2ODP7cAdewFI/ZBiIP8kh/U1aHiTS/H/qwbACB9vF3yXr8wnv6lf9M1ydNlmUMh0swwW9eSMUIfd1E2PI8vUefmIewH4Ue8mHpdNmNyQI/l+cnyHTli278ie/myQzS1P+rO2y5HL/ALBYeQeLWDsGvJuP+CbLOQr8PFiY9lWEP9XEezv8Y+Yr7e3ZZnzO2lnqHiRwZb4rXBD5q1OMeWnOS7ZHG8BIWelln8txhOhZTkpiE+2iOE+xOonO3YzKV7Cfl5hFqcGywy5LoewI3M/+y1nx67w2/bC6r8P2wPYN+DkP+JtS3nsAue/BnJT973q8WbIfaYcoNmFjIWCi2Y79FXf2GgFjbEe/47kND8nxfRoXYkbFdFiQ+rV5Afb8E3QsjPh7KPgwnqernFgoFtpcInt1DtQzYeZb9V/M95/Zk/4byReGyQn8+cCemTownHS1VHDk7WHr63sjf4gtL/iJ0IBcHo+/+rYYwCZ+/tpOvEXBpw3v/qAaaf8AYMlhXqUXqWCaR6Rkv5GvbD8+tNyszI3QObZIHn9jEvTPY/o+vIdZDHHLSUL/AH+fqe2f1tG4sGZ31KaWL5GvYAP8GITUjZ6ybc8twL1Q3kTBkBJBNO69T9jAHA/3EAsH1tL29y537a+JhKooTUrPb+Tf3h/u4TX/AGgh+ZP/AJ/224dz38lamf4esGJS8j+m2wf/AB/c/wD7m2mP69i2gf6gwn8rv/8AkmKf/kIcgcKXgdsqZty3sft7/gOXjZ8mPchX75LcOwn5/NOzn2+LkGX9Xbn8uh+3sOx+4yv/ALWNkcoI2Z0gwWjZth36If1bZk1az4O78kyQPbD5Cl/eHY/9yMDxgn7Ggq+b+/6mL3zn8uJ89f8AZ/AH2V3J8P8ArkYSzz9lAsX/ANSIJT8h+l/ZqiluH9S6/wCC6tP38uJO2uhQf+brND+WhD/7P/MYGH9G8hLM/wDBkuT2xuv5Fj/0h38gB9njb8JvN7v8IdGTRKxzX/ubT/W/n/PibIliYna/yZeTPsEAgklLsAYy1tulg9t5T/HzU0mC54Q5MbxLl/pCbDsv7Cg2PeQssDzX/wCIB7/5y96//wAIgc3f9Q3bVYgXy2KxSRP+jDXpmm6vYNaLuzAPf92GtEtdPEuDEsf8OoJ/Yk4P8lo4ScrnqfcHs/kpArmi2ao/8M+Bxuhn7BX4grt2iWxdrZwY2kKNeMHChyUB6Za05llAc5/tvRDfm5aQKzDnMsPUeNt+aPhQw78JGXyaInzyEP0wyFLX6Yx268hEdnHFnJjfxqdtA2MUfxcbAmnfJevVpcsQBIH9EfIB+S3Nk7f2C36bo3/tKyw/tvQ/x7bv0npcnAa/rcGAG+/7tJcD+HlvclGDfuRvb8hEPCbfISx7Y+78xiGlgdsjsw/9FlATm/z/AHGivCDyewjgyCR7diknHraTvhbkTctXkE5M4QbWK8gPJCGffjtGHfgPbrZ/gIQbO0nyDLhk3t0/LFAvp+yfuLM7AjtPQPJDzf4+xy0hMn25dgfARJKY3P2Zr/x+344JdafnvJoZtgGFj99tH50RlKxprBwybid2Cy5t55f6gF12OnqRhzSAc5Y/dP8ADpn9u63O5sQD/wBznYabsPfhfLfmBICE6Rm5OIEX99tnsBxlMhNsH16OQ5HnzH4ZLI8jj34G2Ql1IexmRAQImz0QaxK/G45seWk+34BnjPAQ8/0QAfPjarf3+D/kj6+3qB9nz6tXu44ffXz/AERayynkuYan/Gb380Pj7Hn+Ac7aJu1W3cYDCyZfy34FggSw5Pt/qRO6TRv9Q/09+eoOs/MXJaw/J2sUzE7/ADMYtnyPfo43k267ZnPmwP34AdsXAv43/H+p+agCy13/ACn2/wDbTyN1F6h9zfD6k+Eef5IwP/dqZ8fPrdH19+YuC2/zdJP97Lbf+OnyPfgu40bJnI6rMju3K2rfh0jiAclHGI7bgPB+sEUOXAn28WcQGPx8AqmE82NUZP7Kz4MC7fzAsDDPj/ofsRPGdP8Adxiz354nI9hrGXtrxnD1nd+GOJDz/BAKO3ZRj2CT58j9pxj35IPPr781b8HQPJ3EJ1ZmXgfnxTeN7a/2JruC5m7BbGsLgs1rM+Vy7GeMBfBAFMM8rjGR/SYdnNoe/Mv9LqL7CvWQYgxDUf7tEkhabd6G1SP/AJuqQocINz2GJk1cBxSSutrxCU+wB2Pam2B5AEbwSQEefH21NhGvVy07+fbqi2vAnwe8hj9YzHWXBF3TSHrxLZYPKcBiWHJ7nNhMn83hPkTiclSuwRjIDyTG5izJlYf7D4fmALGLbKnt+rl66x/6R9hWelc/1G9n+PyNOwen5JP/AAQBpB1MkXepHm1b3nY93r429d/q0ezfEIwsGWvtxL8Fq7FexPSD+WbNhL9ZR/2R7CkhjLRPsGt6CQmkVb8UzkqyuQt+HgbGIdP4W0sbOl1/lsoz+QzQuDPYoEg4CzHD/kqRhliPg7YowicLKyg8nePtpsgjS2ELiU8mOWA7ZkTEYdfy1uckw4v0LnTQhCvt4tLnsZHEtpdd9sLxcy8/ZOfnbD9s/wD2OPmE+DAfZMCMOWrF+rbo8nzRGEbch5TfJDyIfxKC8lF+P3pIuA8/5fi3+3+9EJrrS5ZYLLyeuxHyxIn0wu/AYvfgwx5APIbCL2F38RucyacF2Efn5OOhPxHAukTZ/BDl5Z0KcTMdSLDRM7Hltx7Z2LBi95YDsGW5Expkm09k17+3GJjfiB4ewk62EL6tEvd+AMHwS2lt1MOfODlglNtZLKZI8i3kLGo5Iw55A+EaatvILLFf+zdoB7MHaD/1K0HfP5Ge7BHPjaO2mV5ztoxPpPsIehKR42LizY8iwpkVU+NoIJhya3ht+rmvIPPxaQS6rVJONleW8yOOSu36JR5epCnwN+sDJs+QvVn8Yv6iKsSQnh+2IHGQlbAeS9x/LSDwm2kCrFZZ0vD8neJ/unZJyzXJcdgOLc6WRskumMAs/wAuL5bcQmER/r922iT/AOmzO7r3/kDTj6Qdle7/ANsPFrBnY8Tyc7HXIBvFX4XwHx3CbqEbdk6bTUkHSx6oOjsA4iO9w1cJE/I3CHBa2pW2o67YlvmTVnUiH8y7PZk+2LYXXZbOoxvk/ik5J15G04WFJZw3Liy326yO+EYCHAdk7uOWHPb1oh7KWVsYHHm3sjMg3PiP/K3fhzwbB1y977AduTf+m3cQsSAwSH/F5TLs7+WNn7dE2fe6SOvpo9vLbHxumznVi/FHzJTnUJmWct2/s6BwIRpmyz/A9+eJYw7PG3ZIZ/YJ3YVCXG0RbiH+og/6lizlqzrtpsb8z+xHyCcDF/IbY0cC6WQpmRZ2AwyaLywYyRWDdkba/KYsmZDn6TnW1j0inD5v7qbHgS09P/Rl7qOm5DaGS71vCT2Lc8YxC6B2NSH+/wCSUBlJBmCV9J/MlAgnln2/VEeFm+vxi9+jl0+Ol0gYmxyHSIy6ywgUF9s3Vyfdpj3dsnYEXe8mMO6Q4On/AKkHvtxHv/IJUlDTgyi1hUlgijlyQ4hGtmg8R/kbYAMZ7bUeX6Hwk8tsQsoHW6oVQujy4dumEJYsGw0vnMIiBk6GxY78eRYsS7BsOGTBs8181/iAdgTkewfYYQXbMFrH6W3No+B0tyy/Cxn5Knl8aY4d7Pwx8UWr73LkIPEd/wDy7I42MDcTxYpS/JU3kYcsEotAXy0BmLCpE9+PXswGyelIMPbULfyvbbAeQ4xjln7TSbRiIfFxM5HYhPv+JUY265JNSerHzT7vctQbG7MkGMO3kMem8u3SOBOWTWIdyov+JGR8sCG5H3wDlgTxJtIUg7rb9yOFJEkTLzeTAduWRX56jByw+yF5LHb1PLXsPm/6jXjPsG7MKEl2W6Lr2K8Mh18APlqkrBBpc/NAiufHZTyfRcy/l1LvruEF8tFmxkdtDkdme2Ui0j0hjk4EkpzuEUhMIhM3+t/HLtDkeIf5/Yz+iXLiy/Dbd2e27tssLgQjqWxWTsg9gGkoslJMn2PIFtRpbt+hLwSGO+WET1hLICU+SZ5afMJeXmtCTGFpkJRxbzWPhuLZb7HkqD+yj58X+TDL7sX5r/Rbk7aS+CM6jy2bnyD2gdg/DKNAjIezarf2/wAQvwLvnnJYTJyIDodhdf2AfIcybVsZXCIhrMtB7IiyGMGLkjkjtsWmWbdQ2l7kEGD5ksG0WNhIMJRIDmW+YPwn5h++v29fPUHwPkexxgBmt735RtiDDLNc/iwyvLwjy8fDwXmPfp9rzv8A871vzevp+F+L/wCT4+F4v3Pt4n29f4fMe/PM/Pfy8R+3p/lLwvE+fHxe/l+Pg/wHz58fnj5/J9/w+H29b//EACgRAQEBAAIDAAIBBAMBAQEAAAEAESExEEFRYXGBIJGhwbHR8OEw8f/aAAgBAgEBPxDWZ4Hfvh9v6QcBc1u8+E5pjdpHWDKabpBnu93MlfzQ3LZr0kxOZ0djzNmWNOkd2bxat8t28DBkutt3gRs599PD1/R8XZs/RgR7Quy77qxju5xdLm2VbLObjbTk8cK7bDALVYmXqxGG8XftfEzzJwheC7tuECXytTq4CWsdXQsplzVmMSNj3IGRuBjPFzeJXP55VuSxcvySSL4IfiGBd3pXWWiUWvmFV3sCzbk3wGsuMmCKxRIAjz57fkuBwxnZFR5e5qTqclaZzAPrAepOWZvmCEpOM27G6jjPbsXSV24p2h8PCEeiEzhkzwZLbJcXpW31AWJxa3KwhHcbRHU4jlGXWxk9SguuY+4LLA/pYvEawYWVLf6Z0xxkHf4YvUHLFKE3ZMmwjgjwnTYN6tSnUmmx9HlxkWUGSY4W8UOOMIaOt76hOmfu0lOcbMAFun69f4gyDj53OE7ZDS7K7QPK7WRJJrJ9m7PgpjmWOFo+GEV4wDs0dzzxcvMk4wHctcXB4nckpju8zQ4sFRPOsgF1g4bJWpu8uOZIMgWjAjfUMuTwsInqJ7N2TocQsEhAm+yXSMG7PjWGVxx1EYTQDjwA9NlqTGNh8Qe8gvemZk1/d9/bBPbhTjMFhxjbzMnDq4M5RBjkg4TnzqDmN20Ps2rngh6ldwxyOGkhzPxciVbfhcJfWOGNJ5E6WeAeEMHglFIHcQQZfxJbA0uTZBr1NgWyLYNZdJdHgAr+I41zNPpa5KFyF4kTohPCZhCOJThI9s3tM2bFzD4QIN2x9A83ODIg6WROCwqOO5FyC93smI6w7obbkfqArBlydx1c+pCYiwTidZN6O2K3OjrQ44AgLsd4uLSHHMbuESkNywzbasD3EzIMhJgssMngtTm22HlJR2T2Eg7CNixYwiwhuIhlZci6WYm9CxybNcWnPiNg2zBMwE2wICIsPxCcvA9yJ0mHEdiCAdIw+PWSuiPhB2Qfs/6ts6t1ftnqUdg5HOZMQ5ep9hF/98sxHVg83VjZuUJu1iDl1MWundpoS9rEbcPLMDwwcI41gM1zYsml4N2pjUr6s2BTMkA1vgCnEbcJHvFsBakNjkuOnIvU65cgLISnXiHaUFuQ48I58mRO8R0SLzIdskSFaeEODLPcWXqMNjYn6uRGDotsdbJdukYf1uUu4If+UDNEwyRxBty0sN7hjmG+Z1+HVicy5XEXnVZLDRnIDqUtrLusGM5LAjvVghlxSnBberE1gzu5h8yW+71zkAjl5krurKh6iz9SA9Lmi92qG/D3DhthtizVrmRrgbQ5Z8eIDicwg4tySDVIOl68AeABl6vCriBn1DeVI8rm9t7Cv5k2PcsE7qYsci5M5/FueoNI4jjQthbJSPCdyfZFxb8p+mx0PAM68QNmwZUmWw6k7uy7lkO2bkrh4rnFg1ht3CSPglHEnbQ4ZSb7kaZg5jZbwb6gwfLhhgwXJ6ghcXMR+olv+I+Pu08Ba17ucOb80J7Hq1AyQ5Kzpz5EKqTjz1zBfF1gqeGDTZXG3Qlx29Ydzic3uwDoPIM5kXzYAPc6OZc/Iec4ad97QhAMDLmw7MZEmwYMUeSWa4SJ6gdJvLJHMmjbPwleEnyhD4EN0ltnue5F6nfghxniOnLQMzuIl3RecQsuwPG9xsenMEuy4C4TzUzM58jWaDaYfkGBp8hAx5G08rVymHEq9IaCbIwgW58W5MMyF4Rh3I46luzmbNebSIXI9L3InlGiL6F2d3nu7ZZK8pkQukK5kQnq2OwNsTxnbyDkqIcpkPKEGaGHZcnmHXIjvxOHjxhHIg4gA0twC56wxh6tqOTG8cFjxPditMkDxftw2cg4Zx/P/FhdVj1znx5g/cfXuOt8yPCTeSXNg8WJhJfuXe0WpwLgbE8kb6hyL1VmA4s8HBHeVxC4+31ZO0MDrZFfTc4Ry4RDWLLbPxerHZsroxGMiPVjeLr4lA1jJSHg+ni5YQOSDnuFJ4sAMnhhbPMJgwg7g6N9GNHDCxwrQDa70ez8vN0A74sQ++YHqcrKTmT9J5Q5XG+rvpob/ayhg6Hx9S3YPqSn8MY4JZx3GRtt1MrBEywVc4jDtxGGs8PZNiob9WRJ0EjgZtRFs8UMlNCcL6mXElDxJUveKNgnBLiCtxJjxkEgGUsJxM7Qnqd68IduCSIzl4hKEGQ8XEEidkuZPS/FCeQIuMhTzZRsj2+DxOJ6csj6n0UVjW6fuOQK/PqG4hnMMOaFY9WU7nHpOasvjYkjCXgxHUyOXXhmJIAIw75VHlIwgSLHF+EINCflBNEnB1AwHUECMxEtUxQBbgdzDiYxwT3dYu2ytxtLSRZaHBIerfqHtcE+Yz4mmDpAZdpV25b3iA0LBvhGtw+FifUscYcnr9QgPcpTFNXtqzvwS5XWVw8a4ldKh+G8KWXGS0MvhLHhO7BGnYlnnn1Ge/Db+6d+hA/i22X2QC/dftS5V5kaWc6iXtcTb+xN/WbFI74PZGwwLYBp5MDc/gdW2F0iB8gbLhnHheZ8QeE5XNYxytHLdLU8eoH18YPGR7ues5vW0f5J9XTg/UDdYSasf8xbuPcC4Yv73Oo7izN2ACvq3EeBUfX55nrxWzdVy+Wjgd38paf1CN933WwOEoa0K7PJ0Pxfjds8ABidN1cJhJ6Wn8I4Nx3CWCN3p4eekdWyZcsjLm8Bhqzw2LhImXEc6w5yMwHvxSL4M9aSiHTbRzv4gx2bn2APQ5DcSxXeYFOsNj9CMuyGHdikWk5dHWRXgCUxaGyJnwdWO9yIXDjE+IEcO7Q5YMZCy3NuCZK8P1Y9dr0D6H4hO6DTAOGPybZMAHLq60/UUbTl8YnlOU1mzE6kVjGc2Ja8WSkh6fE5RwmC5J6eDPG3Y6i4m5vE5NwmIHdgl9/AZRxdpf6iu2Ni7P8AtA83yccXCUe0uHE575/MrR9UN39y0J/fr9S5MkBjg3bqnOrHkuI5PCUg15Bmf8L/AI1JGjmVKwhpHdjaoiZAbucIOTTlCE3xyGweroSIXL1HliQ8T4Z3AosQc9j3A+dYDPh1OxOjqS0GnH/vkKVYB1XTMx/iep3sZvs/9QB14PDN4vqXjxeGZqE8we2K0ZkGAeoJre/E6mHsybb1YNIuMINkp78Q8GzhYFNbDyOnhGgMnGxEeV7+rsy4u9Jm8vqIEc9ofkO8r2R13147qC02kgdEajqH0gB0gCTmD2FObIhG1QYWusA84G5c8sXIuBhPJzPOYgvSYOcdWcypPMugtdHIyTw/yAZy/OerSZaQRU36vPNqFTqxE6cniSABnD2fg/589x1elutpFdBtfCbHcmTlWEOJsRurdqldk3uVjZXTIO5DzGdyZmQJMdUTfUQbHkLqUfrtz9OyXdraxvwpcHdMAusI4MIRPp6i9Os/xNhttxl3bOHcf/Qg3B/mFJ78gKIdJjdhVxFwdznohbgvLASXDT25GEij6SDDhYAPCEeQ+W7Tdhvg5E9QI6GA8OPnV8sKzd+5/MAwc3U/H0bArHgDgPx88anJ7nz7mXhznqEOEY7utIYRGas0oLkgbkus8yuWri0eJXCf3OupR4I5uQK1D3PMcy6XU77Xr9WGDu14kMQaXJmd+PPJPqfx2/1ICXP3uKFZGvUAcHgWsKeXYVOfPRk+WzJHiLXx4eFu8x1ekiBnkAIxuEx8GfqxEdRCkkXzff7iRAmLgKfnA1vdixEuYgp9eH4dtuXSRwuQwbfFAfSE9T4k7XDFoIA4ucnQmJiN5u0Ebg9smtwc9HclzDeo5r169T4rRK2Aj9TD1c7+5Nc2xzudejmD8NSry+TbELywq3iHf/yOBL12/vBQB1OAPv6PcQXrDp/J+Lp42W/wzp9RDOcW2MU+Ihy5H1DxfESN/wAdb8ne0d+E2dkYGSpeGzO/KEbA254NcZwXZ5BsEl6FlKXrwIcTPUe+6EKELQ21bhfcaMMLC0zYzQD2rDJ91ufx7jeIDTt+9/1O6OAf7P8AkkDoH6+rEeXjXYzpzjss5fnXJ98fD7JSjye83P8AjmG5lw3G/T1x1JR4YkWBPMmFvhQ+S8gasMM9jM+8wGVons8G8+vdxWrlYb634fZnMeiQDJ8l9Z/uS1lr7hMVYfi0N4Fj1Zy+IgMDwOrDtKkNzrghMZ1/gxmZ++R331EFjR4FVwB8/Ox416RO89FiPT5eIxli8Ynfn7HOi48YjOmLgN7Xi3EIITGXGE+CRrZ1xGLlB7eE2IemWlwbTGchF6lYggK2wNZcD2A/AZ3w92y/3jhmRV4X4fibu1wnvn8XOoAnoDtn5Dw+rmf7l5dI9GfYw21KIa5X07CUGYXHD2H6eiyqAOJx6nPTnuHPi8teOxzj+08eGng9WB/vOds72f0d7BN5COeOX4fi1B9x9j/1ciC14N4eOXofcVdCkxw5XWnuYUZp/wCP4jfUFhJdO3LF3cYdhbf0Azo6O/1IY4YXk3MPnEIzk5Nzg5X/AFIOXnTo73z+C/gnRg86888/JIgzk7yfefC5bs4iCzyO7Xu3sLQ7bbobFrJYER0tAYM2dcM10Y2CweHGEalnxAloy25HlzLBhDwOHNlXrn/3Jepj0Zmemn+eI017n/KLu9HKnX6tsfjg+/JZnI30bGPBObiI0GiidhaqgF58mofYeoTj3LwveA3d38QHnEUZrj7z8W70754cvr7IszpH/Ujr346uIjvOpmmvzjvn1I2Kxwz+M9fu2l9B9v4/f2TKQ8PqR2fQnzPN06nOAz+/MHXxBnh6ZrOiS+ocXNjAvhL/AFT9HfQM8WHPhnDvfz/Noo4RvfIPNm/47OeY3Ekng6cb+F9xPHAFpgfotZBIZc+pK74x87tBLMY5lA2ETs5kephljWbiPYOXTwVo8QMjjEeYK3wPfGrGYLFGPoP5WP5QwnG3VHc/F/MymOuvtjUCTH6JxdbfyF08grIt5sH9dSdtuhy4/wAe54uLu3fwgXUexnC7F4x9vvfU9Yhl45+h6hLPxtw6Wp4sXr6gLn5p1xDMk6nQH29cylTVgcH/ANfif4rgeU/ed5ciZp8A/wDAhwKhyPPvqSnHuEfG4PzNSeDqEYs2K4sZNbg3GFc9RxeG0/aKODPvyS/oPZgQU6HbA9vGm4aL1MQ5RPXHT9s6gcPh8fzDx4erSMVDC+ZO83aeG0uOdtEg4YCpxYZMYpYxcgDI0XaR0jwCphKEUoGwfUMJ05Lvf6F7e+erk66TgHJ/eN0z2dkPDmKHUe//AHuX35BO/Ak2QF7xl7Ckjk15THgh/Mipm58/VtAg9Ps+5/xMrs4auvlon8JrefZ8thuclB8X5g0fFo3NsfHByTgdfD/3DisFdBO8/DDHdwe8PP8AiYbpOg4Q+clyk5dxy8Qg42s2H9BYc8XCbCB5R4eXxpPdu2FE139/H6JQTngaZrwHtPu21aDLh7D9RugtnR2+BgN8HX+3q65tnhhGReXq0ad2ZzdAwlphSmKdkl078pgBaEiswb4NLl1IHmHTxPQ8CO3aDE/EpmT45bNTZ4MH2Pp31FNyvf1cumDWhmuM9NhZCOFVvTnWQXGxn0syxSYE2zgXIAPS/bTK9YAHT/8A2Gjrb2D+XVxcZ0cH8H2BMU+gn6PqMRnSZ/uAqp6W8/bHw8WMGepVdOGyRkC/RhKdR7AIdGGjbfNnkoHKTpmkD4vGnjTyCZGY/S+rBmWnZtoZ6AyylhB0JywyDl1arndbADSwi+VLnDCDz4TcPbGDm3sswgrAhMdTPd+CaOJjzcC33dw4sVmJcY1ePc7kq/wj6x9lpsbGe7rMjN3suU6agwfnZ/tGmOX9vuKAHkOWxBAycFuB7gdnryLEA/f6OnjYYOjZOUk2V2TqwjHaOZQiuZYJ7nuOv6ClfVrfDB4SnhZ8jcLRnobiVdYAYQ0rZARzu5q9UznuQvRWxjDXKOkcvO9JQ6mMuPRz2LIgJ4yW7GV68HC5Q/hjW5Tt47eTmDgd3IwEZzbvw5sf/wAFTHJR75dtyZHD1fb83/pTZXxPfnfAYSH97wvGeO1/SzrwwhtehI5Rb0uT3HMmHrDMZR/Rb3OHLjLi7etlFsl3uWwzg5uxkuOjWQfnHxuSOYQZ4e/EQl7rTYF+H/iJ59ZzFkqfkvgKRx+WD+hQP992IvMDHWFz0gHDwoXQdWCNbvDnN7Bj4wklqfLn7EX1+UMuQWjCrj8xGseJW0DYHo3EI0VG+A6bHVhG+vU0dvUm54Gbly6bWLg5gJ9ZcJsbgcenqgPrJt2E54u1aPC074slzHiAsU9SSk/bx6sEflvefiPi/aDj5/ItrE9+MTRzOzxd5iDCxeohN9Tg9S32SR1RNZifJDVrZYx4uLF0gaBIygmDxO82fll2A8WTn2MZjv7u4A6i+L8LIEu7wc7+LcXiIH4vRkxW6s1hbDwthcW944lY4wGKiE927aWDZ4P3AwbRNJBjgs+HRnlaNr/He4n9HslSvc/765cVfieLlLHWRUoMRx+tm0U3vXq2Vy7sg8ZYYifa2s2flbQ5nbyjJkcMYNgsbk+39spuQznhfnyxh1gGbPUKAuOIz8g2UJjASvQ+3ehbTV3GVxfdueTbzWdB1DpxDxBFzNy2/e7TlneQ5226bGcCUj2/5udrwFwcw8CDfVh6mTe7egUj6gVPCUnaEtO7iriH5Fnzs5LzvU73SQYMdSNtmCEh/wAQHLv4diiYPviEt7m9fi0ehwbxsHHuD83JDjy+H4uNJ9y3LH7s7Qnlf9W6SPaQsLRbcoQxoy5jkt5YLwsEpcglIbk4HhEYPFjdEn9qAg2LGWBx3ehN9ygBXvWYekZKxr/paF2QhEB07/UgM9ycGwLCczZtI85Vh2ZOFYC8my4Fg9TOBLxyEUJXmPQ2s14Qc+w/k9EULV0enpYyCOhathxOYnuBwCJw79+2I5jAjjqM4MYicyViXd1GA6XBjZ7IOxQdkBi6n7Pdx+Qseg35xv8Aa1vJbjz9Xpi6sSUfVqYgOXC2Dw/bE4Z/BAAcQHZw3LTIdfDx4vgGHZx3HRGznxDISbk7kByweJ5ZZ3ZAFXcaJSkWg564ndyTpuAgRAQ5ei87BsMuJTIK5csLp3bq9isoh5vL/COGQOdgzYOWLkgmZJ6XIa7h455iqC8Pp6G4sAGH69QTweDU6/XyOeZHqH6552PL2J00g2uv7kmbqU5cAZ6upObVxek8c5nZlHi4J7jJabY14jA0CQkB+oIlY3Gm1GGTPycTakvXw/uDaMz+17uF3e4rR25j3JY5svCAXEwzAyXthYh3i3a3brPnZV3YxcXUhhYMmMrp+Lmzrvbc84DgPMQ+F3rzB0dl6qXrIjEXckpay/Dt6dh9MmayXZ8baRthFLU5ngQAmd4jHV2xKOgPT/aezk1MMsw9T5MJ9ZuG1/Ed8zmCd9OnfUjHgFnAZnQH+5L+IUm162EX3xNWLYA4LpXgwEfVH75+Za33fqC2jPVIGPMf2isGMSveQuZn7PB/d3yi7/F7jLQK/uOrjI7n2ORPtPwzckJMuXUh0RT14ThCe9yZjfkli8kxwF/Vwjn0/U6rTfUyLgeCVH0cfqZvR5tdbkfVbFevM3nD/u+8nj9Tgx0sE/uy0mTHMxGmQmWUR0jAbQMgWMKEb9d8ig//AG7ezzPdh9/ctVpRdUOH6erRyxOWn3jtZkv/AKQ6PmmOQXXtgvPu6TuI5k8xoHVxBRgh4erBta+1xySOuUa8Fq7Q4sT0mfdlwf8AjwhAFMLJOOxXgg2jaq85aJFnbPK47c4tCyXBHtYGQ42CTPdzWrnwC87R0lpnEmb8+RSuMZ90r+Yl4U5Tnj/MZ2mZ02EPHueh32sLC/bJzlmhc8f8zF6WB+Yru1sgOi4ScXeSLV8Jsk2CPRkAkXdlB2Yx7QihF9T1cv8AgTc6J6t9ogcGA7OnXljk0kXwfX6l5mD2Q6i7ld3LUJL0whDLF4jRmSGaQGavjh3NHhyMZmD4kcptoXwwfMl8niAOVg5MPYO3r7C7tyRXEuwtmASROGeXBYkNie7oNxpCInwQvfZwIwTJ1CUOAs6fseodxvu5cOc59s09fbYxxhw8Xur2kQTkzwjcernfUzj2QeJt24wTtRppASt0tuLA7T+Rfi7ZMn3qzmQe5B/i0NSx5RNlD+ocnC8RiPkeoyEPvqwXYXPeL4vwbRpGbnHECJElj1OYx5jDiXqFO+SiWXL4aky4yCMsYGSANi7KNhocU+S4KEV7jp6IL3pdWN/F/lxHtCcQMHJr+Il/A+R/AXJgpnK099WwOrTMHWzzDkCCzxmhscySRjy+ANMg02A8F8x4AbCsbhEYsZzTNYIBKWGRorMIdlpBY+r4bYEjk0DKxvMPuXEQGEaznZdCD2tT7LJxHXh3bG+EO6ZerHtsmE9GBh2Y82eAdxOnF+pRBlQQoNjnJvhuvzcwcOGrqIJh1bc87sXDxBy09WAPEJoQTqXZP1K9pbgLNFIT3aHEXF7hTwJ9yuoN9tsNz2w3YcViaEgMWGlzE3JDmxia3WMVpYeYA2DWXWIT3Lc0ZAOb1Wwd8RbVjHUOsyeEMW7hjzcAlBsjxb0YaCJxbceYXcX7HlF6Z7hTAavQH1+7JsOae8kS32LhQGx+l1+4tI8sMphqOlg3RLypNm00ELwuOSE4uafWA5tockqK7k9aK5bpkTO8KIfrqQj14JHiLk3YCy6njzeYp05McyvuC+4jhIke5O2EwSjzelLXgjhACRyyJZMjfVrbJ8bbuRBzDKPECdxb3oI3pcIxYQbGSzX4zqHWcxN+yB9XFWnV/EKOpwv5h9wmHsnOMi7BiLbMDLGkxlk5u6R7lRs0MAcTKN+O8ckIjl7i7Fu5Aqw2Sp6LPjEPcYi7cpyBu4jyS7SfebYNgRjq0efGAJtIJ3fjdy1pNYgyOcNgZ4QiNQOUORdv9AOm6/6R/wDwL/Eefu74Dpul3L3m9PIe/Hd8BX+igzvMePrurwOn93b4unh1XXdJ68nW9PM/0o9i6eHYjq6eQ7u0/wBCH//EACYQAQADAAICAwEBAQADAQEAAAEAESExQVFhcYGRobHBENHw4fH/2gAIAQEAAT8QqrVe/wDxnm+qi9H9iL/XUvAZeyyHxGVdTmJcetlx2p4iq27yM2+4r+ARG3AT/uc/zFiWtcxbdIaK5Igwtl4xUKh7qIpSqh8EvFw2cOYhRWkw674QO1rf+B7UF1W5L9cu4zNoYMfcRSlenD6hPlIQNo0+MRLeauUjEZN1AwJBJdXxCM2+5OJjb1OaeHagV8GVALHsU1XTHui/qG1FLSMD18C8AFgvecbac2q3CdBBz1zHd/caBKZYqakoXAbG05qZR+xAjuMleYaRC6OZas53mGWl9wwVXEppfEEvKyEeV+YrTz1EfSnicCshVb5m3iUKV03Erf1UqF1s6PLDJ9SVE3iBBb6jvI8z2LC9ztMwIsR3lDLkE7PoliNjsQIh5ZkfUcs6nFPDiXSsKHJkbIA2nsmX4jremOjTBGQF+r6RSdLvKjpnLxKE4pcx2t8y8wryxxHBzEBZCpxkOK+SLrIcnmBnlYW8aE+Y1egsc1/qENGszxVGg5MGrpbPM2oGh58RPv4lJwslL0HMcVZpzP8ACW5uWVIajYtuVCbLzqDN+ZfPFIoGxcI5V3ipXf8AU7vh1Evl8wxN/mXmnHiXDD12hwnIW2WkULwQgtTUR3/Z+0oyU5NAcORSJviOkCvEYQ9XLgvgllFve4p61ke0sviJKIzio+QqpgtTmAZwqR+C2HUCWhiJV31K5bSAFCnblIV47jqE3zKYLvmP4nC5gUwjfCccoWqIC39lLD4jm+fNQ0KuDljs49RkKhpPFRTFGK3uBgmSJGhsHXmNQIA49SlDG6ubhCBs0fCsZMR0VDtT4kJCW/8Agh2oX8ToIe2Vw3xkEQBl/cTmIqN3kZiYdKCyZYAkWiCTiVtUDtJSAIDRoTglI0zJW1nxHhcV0dPDC1VW2BLZzrYwEFu92Ba6KyPbqoVbX4Ia20qK0JPAzkYeYhsDuUYlrLl02c4uYivxKv18SgYuPVi89S7G1e5ot2GtVqF7jPcQGkQYTqmWGvMIAI+YG0eoQV8V3A0gj0Snoh+BZg9wKyxRfBzGNwLHZBNLXR42AoARCPcHUrpEJHrzK7PhgpgOeo6L+OYjRl+5ar8F/wDhig79xUNa4lzVujthWoLsyHr9Ajo4VwIwG3oMtg+a1OeJXM2P3hH8IuIKcLKg0bfKQjVfnY1wb0QAAbRWRZCNLUYab2XK2B8kuQ4gMAfM5B+qmCuIu4bAlA89/MMEe5VZ08z+SOiz+yhvB3EBQs7gh71HAUCu4TptTKhWDffcNvCaW8eCBNNa5lW351i6F0m5LeePEstb6grY+cmqd25UQkkDhI+eWFQ0JAOGWyg3zHddedlJsM6ZXDT8ygGudiKp7iK1tYChy5YWlrd2ZYOeob8QwQfksAyuEl4AO68RGvlxEjfR1HtL4uC6rDhDbzcAg8fUQ1kQkDAFDwMAVfcHWMfMMomntlKqoaB6h0qNh4lpL5NwiKF4mA35hrlohraDGmWB8vljM6s0llUSpLlb8mnbhKHXDFWRVAMEifdMhEqHaZyLoYDD6yVqyyUtxG844pLXpRhCJhfybWwsWKUdV7DLxQyh1kZIbjIWCBi4Cl1uCqgIxS7cQKX3Gcy9XCcMUgnMT4L7YiqPyGQiHlgTo+BlkoQCDfqWb5ZCsfUwiLdbTAlivuOBqs2Hdu+WWEYHqIXa0XZFHGQKfJUNsYDR8yynJ4uIpHcKwK8wAosIhTAdzdfnHqAC97gBsvu5lrpksD35uKOl7lXGepge/Nx/pBN0R845TZcatDdVhMkC+pdl3ykW0I8FZLSlD4lwDvqIm5cC1RvUFAdrPmKDveblId9TdCjmXhi2QCKh5HlEcYlNhhwSIcw2si9QloSttvicfhb8p9UFwyPLGVc+qiLYOYAVGkwhKRlI+IHKT2Q7NHxNCLahoVCsCIDav5hh/pMv9UOzL8y2mrOSDuT2EZRVp0QEBG8XAY95VzcLPCwxLT4hAMxL5RV5DTT3GmzO44ehHc0PMXlIc5kpFGdbFhR+RFTBKCrpiNBB4hBsdckelr+RlhF7OILOUz2sl+JfKbEewuw7FQC50YxBsnfMFNPMMkaXliFS38sWnF4M5LZezKLtYQilEqKSXiUPcc2L2VOsG9hXDFKF74jb0lYVFowPiLEz6gsCfyABm+ZZeBHdLw5uKAHbiQb0TuXGqL/EzBiZwB5IUQB4lA1IrA44gNSl8EOJYwsQgbTDxN2LTYigLOs/FGCcUDxCiQ4r/sLLQOBcdgknczcEEl1xA7LdNIvvLkOZe1DY0xJgrmQttnhAVNvBPmJ7UGKoyLt03/yLI0U2BILd7ARBUl9ShBvguUHPzOH9lRKxzKGsVc1+pfXqE17eYpQse2XSEPUR+X1EUG18Qa6YDlniA2+HDEQ0rj1LQWeo+/h6guCwRt7ACtHmIJdlbiC0QjXn8Ra6cslsjFvIy+7H1HjSG1W7hI2U9zTlP1OS9MOKgbsalSoxVxC+NzFTmE54WpcFY945CccRpcDiYmC9xJWshsi+lqJo6rNlKgukB0XFhRWFx5As6c2CCKbQlZIdBsK3hdIg1BjIMhk+auOwQQ3tQY6i5VpmFvVxqob8QJ7DxGJs1zDzHioGxV1LGHxNiEsIL4hoobruM0cDFwueIk6HiIW6VkImz7lj1emuIoHk9Q5WnrJSGlxjXldxwtM9QSoMLyU3kcR1F2cRyRfhjGw/cohm3YXAEIBL+Yqq8SsuqXfc8U/sLyz1LNFpxN8x3R4uVgpkAMa9y6Tn1FhKwglLADkj8uo6fFQgUwH4fcN+xxBj2PIRgcZ3Ns0L4gKJr4iVt47hCbaauEQH5LySWde8ZDjpXmESAdJ5Z8wAbDq4jRxLweF2Cm3PJGCUEe2EODXPEYUvh74hCtvNQo6W1riBw76lukMbF7cEvXiHpr8QIHzosEvXJqvYXKe6JRpjdsitlwq4i3rglyYHQXsYoWjXiGOm/dxJ7NHJQpmQ3FyXRrI4QBQVA3FbdhJxUtiY9YA7xYAtaMb7BbKjFHZUzWJTCoQ0JpMYQg2OicOzIbCwgHHuW5edRIcYc1FJQq/EJquu45DWF9Uc2x6RwE78xqI+ZtrYOIpVu9YFaUuG2vxKzAZWlWseWwFy8PMECxz3AFPJsOQeObmnO+4E3dxGCEH/ALnDaQxGNMFtGH/lTzVxB5fks8YZXkFQ8yo2IN+0NOmLd4IdQpfMYaB7lSvnGoOrG1APmsax2F6RACXvMY8F4XxLX08lxQg01l6Kyt3NNr5VsCmJZxCw0KoTILNMeF7FI5St1csg0uykrB2oMoy5EebU+4p4H8IabxwBLQJMQcRJT+IiNYBr4OIV+3zLzLsqQAvhI3AGvEILPebAOl/L3KAPtmJHHiaoCusQPORk5LlAiqm0jBJt14gMMCXygPJcGtsGjJcv8IaU8Ri/4yMN6VzL1Y3MRtEoC8D06lIHD1cviwQicVOsAZU5pr8xu4vc4hNamECsDrq2KIYNCytRbgSvMJeZcim0qGJ8mwUPDmChwVKuVpWRwAFjr1FFS/AiBbfE5verYqW2MX5J6nojxDVBo7gmp57iSyv5ADYs4et/IDAttHcwQjFaw3osOWYNRdI/VHxCMKETF2UkU1T1BcNPB4m50CkeeIo2K2BTWoeUjhD/AGA0ryDxAVTeh17hzXNS8l6Qg22n1Cxn1aPlUyTqjSjGvX0D4R6DEQ0HL6j9INlw6Q7AbOFOaxe4HRf/AHAuYNp3DGruBNLZho3GMAJuhcEgbcLIHOsuAgtE7JTuINuhjXDfOzQIPuGEs/cqf1jhTviVKZaekC4iHqVK6uckGQUqvmorZZ5nuxagdnAuA1AqlRKgr3zBrQiQNeIIWGnNbKh+S2GhT4CFq1vbFWZfqGENNiTCjzEdcPcVXV9ks/LzBfCSxZ2dyFBEtHCAtC6v6jGyFB/7x0KzKlmMc3TceaW6vqCjbxq6gFUFdWuWm3Qq2BLkzYKuVxAxfYxetBl8FS+FrE5+YeNSlWQHCu1iypL5BIy8ScWn/Jf23/1JNEDsJ9H0hUjUtdeVgFct4Tc2THgr3HeRkXSvyZOH5LOWxxrnmYnD3CbXkjDkvlYFuG7ce5ceGdUldRiWVH5lP+TQquLgUsTioqCnmOnJVYrEFYZh/wCCUAtO1gMasuX5YVhv/hTlILdBGAv8ipQ7ACP2mvb6Wyq3UoiBD3K67jgLriLgYsqwKDsi6riUBdhfgQhYo1PlHhMPGx9hpzUFP+xlaTxAFYeyCKcV2VAQtPdwrhNxDRtYwimtYzNLQec+2YFPphjfJeIAUIdY4HMQWmzspEKCFAAvm5UIN224+m9MKjvpQoK9JZWQJyPdRDNjeOZlA3xKnUb4j6o4CVw21XBTp6mASnTKCpa7aHIAjXwhnwt6bF4cBRhKxYBASyWzqlPcDsw5ahugvuDXnNJGaOzVl4QYC+JR4LULKR8Q8cQ/F0eCCqlDhZBVDs9KZxxuB7Ryp6kAFHrhEatCuIRjySwqwfiZcu20sBdDDuBaMc4srlhC1xzFrBp08RAvyIy4ObyA4cTTy5yBKCXEpZCG4MBRbWc1CKrhhMS19SnVb+Im2JXVQf0ZTKRQ314gYnpLrnITU46ZzgPdxwMV5geLelmQPq4xBavjYkBx0sRQ59zkTvHiPIVlBCwqQ11CENYUjMIHBNigoX2QXKXyziOiugVEIlCvMa4BhcpAFrzKYy/ohrFi1eZc7TCoqTvosSwntKReJ0M0I/sQu6zth5kbV8TEQSjqW1hsl7OoGa8KnHi4w6qCzkidbHlhXrLCgHyyyqKHG4g1PcGwZXNRVRzFuL7lrZ8pvRu/JDANbzEskhQH7zKByVwQJUZFNF8VDJ1WnIQJw8R7CPcFRFdZGXMC8jbzAN3p6hdWFdwPP7LQLBRYqnBBi1KVkaGJ5qACduY0IW92g5l4Dk7ExtyVkpmrcgVJ9ThH3qIW3+4Et9os5VyVKK+INRT1CpTPmFVt81MEPNxGwrqiAitcET+mMqN8xCA8usSO29waHHu46W36h2qPU1eKczONOGXuxabkvQ5szUc85AVN3w+5wgFUAQb4GCM0GG+GohKC8w3wJcS7gEFjkgcACWtQ5RZtmwk+WrUppCkFNtl4hylWHhCgm4oqV1Lo8lR7Y1Ll+IIN3C29RVUNb0jcz5hxBqC+CAl7wmmlabxCIAP8Rm7R1iVuFi7pLmcN9UGqVsWD1fphQQK5URQjeo7UhtFnXx2kZHFFRLPdpb7TgRBaiZSwGhVyjl/cMVXvTD/0kyqq4nqjhlGwv4liat5qDG0/kakGhkHR69SsFXAjkURR0q2BqXxwza5Hcpwl6yMBOeGo4hZndR1BbSVAdq65ItdqvUaEee2OUXWXFeX8nOQ+GbYfsAYvJsL1xcVQVDhqIF3FYxAgwWqjoiQqlCQVKswcnkIxRq/A2DRI2+kQMjw+4+sUYI+rBZHFafIiZITSC1yw48RNDCSkKf2MWveVAOx5b2DlfXmXOZu5LU0ZyoG/LCw7/kCovJ+QYkEp13xzNzt6qf8AxJlb7YUIN31FXL8+ZoL8TLkLyxQlfJK7BDZYDoeIZHLxNbB2TOvwYgdjmofDDnJyIgNXjjEjkfyHp4OY6GD3FBcmguDgh5QoofUG5KfEIrb3gibFIuip8xOVXfMAWfqXNli1/rKZrKXcYUDWV5OMIFPkbEFLiUL+4YLMFAt1EDajxKlmnLL1FyMrLGUMW+Z6ndqHClgLSvJaeoTsL4iBvK7jVLzBKFUxXn8S4upfcaiDY51PM4UuuLjRB3iH6rMCEsmPEDsC4MiGrUchKewJgtcJKLvxAtB5QgaPmErrhHrcGOVu3VgwrvylVCVlvEpbdKyWBaus3ymZF+Cxt2WfMBZKbgtuuIIvcgnMyKUXRB8LDlepWxj3KWuQMD6KpUuas58SpYstXCRi3KOIwCEBxHIOD/8AXLunSGx5c7LGWpxqEFpbZWzpcz4EJP5ICqVV5Mgpeu5eQHA8RINPTECC+Zt0HzFTuHqJoNVkVLN7xHJ3cqyWPOwsv0Idx3DWLHxEdTxcriVdbFKqQ7jIt/EGdhfmC2x9RpduKIVwaOI1uvB7mTRvInEra26IuBQhdPcVEWcgwoSPb/0i2EPMDAvHZKhj6uLHqOLYAbob1QtOQUKiG0hfdxAgNUqCDEoXzc3gOVz9RglBVs0mq8jIcO466icI/cADBeUymqW+I4jQqMALZk1eIQDT8wxjjxFwX9wgqbxLl0ISF3HaLwpmSf0Nkt6PUAVcPkYm4051rzU5vSRUMgBp/YIc5tEuxRgxo5u4Y0G72HXwVVTCLb7jXDvVQK3LwTBC4Np32EsdQRSig5mnps8Rljg8RC243LRWo5RWyloV5lmQjI0VfUbiF9XAqJndMGuhvDN1GDoPvZWh3/2XJ0Q5kvJjN4wCOKKu5plUr6GuYadMdRzMiiCq8yyhbXcthZPEyOJ7hQaI7Gd0DwwyaAnUVL6PMw1D3E7jdKlGRz4jywznYejRbpEoGjs5YEw8UD5lDsUb5h0u93Ev4VOSMemEOWoEtVnwLgcr2h0CU/EUUU6nWD1KNXUJiw+ZVZTY+ohhfn5gGNDxSUnTw+Jw9K/YgW3vcShttAEqIacxA4D5ihVGnuNmrirlnr04xHIwE2XaspC0U1KANFcqY4TaYrEcjXCZwdjXj8uICFNnL1FZ2Rsg2siVYfhBXzVs4hHSTQp42KAMgYQuczRWM5gNbxFJpeAYujuYwmBxzCNBpANWHqWAWviWbYD3HGqGaVAxL34qVAICX62KiLszhfli12mBavDBCi7PMetN7auM9OhYJU8roxLrzAwLl06XRh+R34/S5yLGql+CLBxmgtjjzFVQnpHFboStxcZqsMqNBgyoo+wV6INgVo2UcHau/koUWvoIWcX0lQi0XTMXdnCXgU6EZgOCSpgKyAxWOxMlvaoLUKLY7iwOh55lpVydQ1SG30SmQC8tmD46vEQhVVr3F6ESXZQbjJaoa7nZDDuJIwPDwx1iFtOe4J2rqEKVfqJOnmglnM33A1svuOEhzDIFcEKqVxDOw+CDnTlYyFuroh1Wqm+VCbaJaAEaBeQNHriGsMPETcHyRagfsfrz7g1S6+JdUFnMNcOfcuUCJTiL3FS3rOUR/wBQgE4JY6M8wU4fNFw7SnuKcH1xAAGB4lQ78Nx4Q+paWrMiFwz585sENgDh+YrPrqVFy5iBfCJ6ZXNSrR3zCt88IxmS0BrzEBMEtD57HT15uVgadLEX242YW/DYsLNBPMbekjPEe3kl2LxFLSoMEKke0azJUeN1uOKYwQnp232wekL8wci69pROF5vUOiV8xeC75h4ZzQajNPBfls2lruRhoNDRDHirLIQ/IjXKiEhpi6hlLNzTYdxB0mYTdgW2yj5IMCZUGQArLYKWA+Y9g/YU4fVxd4LvJyWH3H9pdqh5siiHzrPYrLGXyBvGlRLXHNkx+UGqhygonPMqQrZXReQyoKcxykeNyVUfYSVqlXMnJr+weSfqPpz0TFXZkezp7lmM9iwWnnzAqVkHI3KhSdEy4VQRZHlvo2m0KDp/sGG9eKwg5uwIyCQNwGlxsWMTrUZ7FtmH7FCClV1HJqAsNX9wEQ07RhrzVMuQV4SkfAscS74dviNdWPcIrGq5j4qNLuUkdHamknojue0WxAIWgbIkJ95HjF8Rarsl/wD6wIw/sVqHWoqEBcUFcbMNgI0th8Ru8xhTnc3FsVjHb8y8VXwXFLvjuZwzq5Wqj4iWllQSvg9RUVzzHADjYE0R4ric9S+Gp4KviMKKfBCZU47UrPt8SkDQ3VTAui4BQarmKuDeYq8KQgK0ycCLWWCh/ICqW/EDKEvqce4gBabzIVvUuI5QHPdy5VxYjziKv8817hkzjm4sgP5LeXJwV+TE1ZWzgcAyUuyHKRQh+kqL8/yGwl+ITez48Q4dXX1AtLrI6Dw5tjRtXwRyHLKhAWbwkVGhzHYLlwyyNHJ4gEeHiB6cG1BwN+4aLRUF3TQQpWL4i7wLwRLABhiC2hQecgIWdwpUBxcPoXUvLVLyEU6YzuMbynEuTrBepqDRoQVC/TGAyq5iMkDdLGxTOBcObQG2YRl6sC1MO14nSFzBgogwuZFBC1l+OoOTSURH4+bRGVg1Fpf0S612uch96eSKrKsmjtmcH2ghQ5nRsd1APDfuPot9XEoRfidEeGUdjmLlRvmFOCd30RRK475lAlHuCAfHNQlYVwyshxzUZpY81ALszpjaWXNUFQAZhHoP4viNO+Uattpsos5fcWs/MfSpfiAwKCy4YDR1hrSn8MfsDW+pQhQ6kCvUvuLQcsUvCQYkhQbBaeIpCJEUMpHhXSmoRrrm0sQIG88zQ8Yqps4PNG1PyYoBNc6jpgLqNuB6FljinNS8G7fCC04qR2raIghFc2H2rlWxCq+0UUFzJS3vIxkay6dM55gI0EXwwLcbmTVnFxRbORfWb0AtKfiWAUqNcLULJS2NdwaI4gmtnzCKiV1DGjuCa73CsAVy5uBE6r1LGilc1HMNGkNvxrmIIzQR9EYlG62GuweJaR5whGr+I34U4SdGsi0aPkjGjmFba+CZLygK1e8n8RCC2HfUY4syLarJsIR8Sx4LwirF3xTEcHk6lqc+oYCBvLIDRu+ITps9REEPqtiyXXLBHA/9RlXg7TJesPUo6G+BAND9kqfQuWMaYuOnOPBCGO+YmIrpWOnXSlxWgtUHxL2y3xArUXmcMCXvmGoGu8lulV8VBIa+MglgHi1ZHzaBl/yVgkWAwPSRMqUAiuXIzvyuYrErM5idKukGHeAFI03qFxhIO2WBq25UtZahxCMMC0MsrwwGSgWKO+JpSVGyrIvIiFm2wiqw1zEFkPbGeOBTC7AFgGw0K60PECXQoDvfiZQIKzYDXR6ItZyaZc1UONcSh2OLIYWT4IqWXeSoB5ZyBfkYk4WcxZfcatuuCI0B9wC6iuiOtp4fMFetFkXgj8TQCFYsUC49MUBp8xYuvDJUI7xkYXlxcQjTxEa+CBUd9yqauodIfEELtzuQKWuEoXnhh2FUQuvVYJHDAOQa/kbbQi05AwihGsTcL6SEoQ3xKmB8pbmHFxKht8xRRPzHx7aq4gvWnghpcHNwU5wtggQhWVFrLMFjiudDHcADbYZwU7j1sjkjxNmqSFmuo5Yp8svmEOCCD49yzoN8S9SUWrEdRslFWMWVRYYLutmh3+RRAhvifPmE3zT3BCu/ZLAqVMarlhpHo8R63ohOC88SsjZBHeDnYJcHd7L5ffBKGL5iFKDKQCQrkSHk9ZKEJfmOsbHsldFHuXsd11HUDSRWp9wNlGuQCFKjppNyJwLmWRFxQ8S+sd0TymdJDiOu5LiAfMd6x1L5+CcJVVFTzeJk6gqmfTMC5x8cw3GVzVeWWtH+SzDb8TrQmbHPAmQ2q0xsYSNuxICmEp94uKLZjk1E8TUfhCPa7KgKhcIQ9JTjzHLYUUebnkrOFLGX9irJceEqB7hfiNcsBITNNEFqp7l0IFCLWOJVn5x+rl6mGXSS2NFJkjZUPlnq4NxJy2BZ4Go07FBKEVMeargWG7IeUAuE5yC47l+R/qfUqUOreIuUFy2VLsoeD1HznmoyNSloj6PcCmUWAa18MZaeJ2jTYatSz1F7izYh9DL/AGIrb13AWGQmstqZAA1JggnlPkZ7E6xtk2DlCe37H+06XFq1eFjlXwnHdJqV3EMyWID5yJUMepwjqdZxUs1TWseIiC7UCivogO4DZzArCAjBVNi4+1/sXzO5qP3CZaRRROdkQB7hUPBGh44jcumwgMDTciQA+EUbycBCdAJFF6iH1NsNVXE2bOSMULRyHMtSF1xCIefmZHjbgDya4lkDLlNCeshCg/JD7CCMF/W1FDdiAjwJVFh82w92h8S4VVt5CPzbhb+JlD0TR3rmL6SVPZnKFvOY2IHmWHhXmVaQfcc1/YYtXcS+ePEoOf7DABwgAuBUl26lroO9wDTL6oDmGg88kEFWp4qXKipgXjmpVo/ZE8D1HMAclLq61ZBTkcFRChR4INMU8Sv4o7/k52RBT9RAdU2PV18o4qtvJ8MKNTdrepRF+Up3XLK8C9zQQOd9Qk2XnEVPb3N7s1orlnpcFTNG2pGzmwIXpIIhkZpNztU0fHPUByVKe1y/o4Pj7jiFi+b8xOyC2H3FxKFe02qhkwcKHE/IybPW/MOYk86Sgacq8Tm10tijwBkWh7WMQc326mIAalkVOE21fK2OOmGCLIaELj5hGu3TGMBA7sh8tgT2BY7lPXkw0FQ8niNB0j4QEheYYcti1Xf1DJEauJYPJijhOMEBe+WBeMaj08zZIpNdTmMWcPE6iHi4ho5VRqnguONcRAsFHfEYnjdqU5A5VwOaKWeJQLy8wj0WptHpKIFXmbPWphTqHc8eYPAmdSuIWiHyQJMHK8bKK1Qaz6/WRwTchKn2lE4K6uO9HwXYaIC6XEaqh9kp7Rv5mwm+qinvlkNLyQhbfc56NJR0VKwjJxBbW1dwKlNJXibbQ+GPwfc1sG8AgRfQqEdtzwvEoqu3HHKVz9w/Maj5REFojzzP+rEvPj1KXszJijlZKXODmWOeJY3sjlde5aHRfscr34ga2x3bjuCA5NSuJXeTG5kzsDJ8MtG9zzA9wQ0zqIgr6l549zB6nc/klTo/+XM6fEvw9JwjMw3VxR/zCPcdY55Qmc3uAc+EvV6Ng9hncbsn3AFY+mIyml8wWhmGzjcvoioS5zG6C/JFLdYAyr+Y1UO4ABwwMC1VBHUrALiVwZviOIeWEYnxGJbWtXiLzJbRBGQUB4l7sDgdQcDsRyEWvyDuUFrHsbMNSJ0Dl6iqSK18VImVlNHw8ZkFqdYtBwxLSaBRXCbeWpnicwY7RgQVviBwDeW/itupToc6IvrxTGUkHlgi2Lm4c5vYxKnwHmVxy4+YstS22D6VcVAlgoOicO33URTcrKm0Q24QOCHcqZyVaBzYeymLfBbC6ypC9IHTDlBsbBDsEV/kFls/5QPZc1CKwdloDn1MmXxAaD89wYRDY1X+SpYUN3LBxJzDcUUEYDNrmx2O8rhMtrDohFc05hdDfUDcX5mxduVBrKImndwXAZEALvmM/wDYw2y/7LIPUpe8bn/sbd6fMtsjsHYQMU7hGOIK1eVEF0Vg1SW8UrMykMBhSOg5jPuPftXTv1NwcLOOYFXE8TeIZEKW34h3AYMtKvxCQWncTv0zmcfbXXsexNBXwRMuzfcaFU+Za1x8y7luMiDdlYRAoQIogPm2KPLkYcmG1p4ghPL8dZj3Mlp4ltVzIm8A5IJj+TMeIVHnlqDLYpK2S6BfFRwR+RinbBANQbyAem9w0K7HoL9Q1HmJWcdIg2aPcrFj5RrMgcUCZUyBhMaSopUXwmZi+IhDcnHvVRUxcBiqyAtfHmbl77lw31ljDXqOLSppVbpMloripSQvFxiWD7JiLPLDqrVtxqV2+SJQL9Rwqos5QL5qURY0BUS1goOoaSVcjuvMTFVY9S0gq8lAB+SXNx5uGZRpUh611RTBMV3zzEFvAuIrjbdkyBB54mBqkC1dBFrEwLAItzWEc4lZSL59XOZdtiji40K4CFa+ohWGjTRx8zB720/icrQp/spEwHDFCFr2uohBVrxFeMgdt8SiOllz6j9CuRvVylkrSZ+wkTTQLgI1Ry/M1jR5YjlRZbIIUZ3B5UfmCqX9iFh5VLuGKuIO7sKX1KsKHEqUSir5YvrizdeWPmGgGRMe61pmYCu4W3ezSo1ouUAuoDYorqK2YvP/ACGBhA5USAEsoFfULqcNyAzp0g6krnICoE7e5VFhVHKWwCiCKmOIYVCJGv2PePmGavVwaVH5Ff8A4ROH+Roz1OX1Eo5EDziOAYtWhz4ly2nzCINdyywL8pxD5acJlRiaeHEBNv0S5wJVmTxI7wyNUS8/9JfOpbFbmwL0dA5agwT9QqgBvl7I5ob5CIgusVo1fE1nBQ1weJq7ZhW3zDfkVU5AiOFdUniFBZXbLi7V7jhXRsDcPiKF6ion+RfVpbCPlwaybEWlQQE7t29+4agHklzu/cqhUe5Yr1D4S68wLRdzjH8ijf4lLQDOoTo9dnM7AkOChBUNMivbjtg0WKCIhkWhwGMU4L7ajpQV0MPhPhl1rxBSAXqowazNgIophAAV4goZ9yroGwwGoM2T9nqV3KuPEIGnxUIsrVcQOEBvhgjEv0S9Q6+ZbW2/UOU2epW3FGwwcJAC6nqBSEvgfkQe0fCnqpQYhu/qEQmIrYkc8ArN+4YCnf5NC0Wg2GOcIhL4IRaXtQhQDNn5kdRxlrhgj8K7JuRb5Zj2lPsIwt6+XTfiI5tHFGphgnI1/kWIu8IWgW6hDi8PXGwHrHLcgIBRztOJcZ0B42MR2vZfMGkP1YALy5U/0zgIberB+0RQtwM8SxaerzxGmaNBixyBY0y0pZxxXY1ovFaQ1eJ6iVZR8QuzsBgDm9lxY5X4E4ew31is9HLcIQW9vm4cbBwJYCpRBL/FB3op8SomG6OLPGoKi04dkIADziNMuBdM5kumyWi20I6HrxC0ZRGqGsgYC2xh9AG7UPk2vEFFgdxjVbwuAtlvZsIkDR8TM0EJonxGGHWQGoIGKbHlRfdRuKqV5jtTFDXPUdWcolo/U4NPcPswiqJch1H8wB25Nl/qMWp52ZhV4uZIt8vcEhwPxKkrJh8Q68KM4lzE2sBBocniRPNcHmKVnDMyr3iIzZ5Kll0FTsgYUVMkavoAje40VZrLCIUnAXcvRw6eUVWC/MqaM8StKw0I6ET6fEvkkFaFJRSvm/E5C0cEvZVeJXUJTJzWxAJz3P8AcoYYl5squ04iG1R4gb6cVFXscEUbzGwmHwZS/UfE1ff7nCYOp0B9xeSAy2Bg+tjgqJBLeTu+4pFiUFRerZWQUdReQe4BdC1Dc7ikDG92XBcmMFIe4d3Emmq8wBqcwGpxmTxh4JpU2WLsmBItDS85A2Xg7Ok6cRkchQsWUHP7CRs/sBYB1zKXCrCpuXek/KeTUM5mcYrUO0XHmXYK1tly+kfIUQEBZxkxRWQnBToRKcroSquAVaYwGo5Ud5Uc4BP/AL6hBK0vfRF7AU1dWuMiilW2Xy6iJoBYzIWgknlWsFOcEdwxETbsqO2snedmAywy6wUXyPHoazYOZeQJQxAnGAuuM+4s0VOgl9AIRfrL2GrAj9kwt0cpZ8TH2fRkHWNSXeRTg18y509RCn5WROquYVKCUNbyhzTZzGsUqWPuO0JLUe4ty9kbAE7AovkJ1FtQN7iqhFnDZbAcZ4lewHNJR6ge5Scf2GjkurhJs55ioXnNhL0TbXPEEKqvUo1WV4lFvN8TY2rgMiQQOKRgOwsuamnDZzLfMMQq/MRDD8lhp3NgftmhCq4WXbKy6Ilsa7qEa2zzAdh9y9Kt8rED0zXWr7hPSBwglgVBPZO4G2nXZWoMuKVMYO2xXV9w/wDQF+iVsLKKYxKXzEN88azUn7HkJNf/ALiIaPXzKzQW24uPa4WBxTWltyj+FicvED9VLaC3HlSHGIkm5L/+4YbidwCn0qWm/YoSu/8AktaqVW4qW0SmXAgt1nMu3XXTKgp8sxF/YlzyZSrb5uFJ4eIAgdvMtINmJYnvAg+2xBFX3O6ZxEWP9ibY8owC2PezsBFZufUUo6bsT5yxAPcHpuKHclZa1PccLv2XwgqbFRLiupOhpe4E6oP9iCriK3XU0RvfMYAPHErrOeblBVp8RZtHcCqo74las+4FqX0uE7tvNwEIFrZQkoCKHQ44iUL+yjiKtshiDSsuEmHA4YbEWGxrqLfXSniGg3yBKAWE8NfZzFZDoUghaeaiooA4HELSa5aiKSfJsQVt0GZamj2QN7SKnjIc+Y5sIvyujUDg+I2DsmAcr02Dx6g5a/7AgZ4lCt5uFJGlkduHVy+jjsWFW4aHXqc+l5Bc0LYQn3BYa9Djz/sW+Qjye4kBcKxRDfewcSNQDWbLSmVfKwOJT6CrYvCwBpAOS+yG/UwYHjqa5gx1faJhb1O+QXfzCvwXXxNakfMQHZyXFQKtz3EESjhFaR5LqLRVKRTJPOmmLnHunQtsuIsIr49R4j9RFbxPu+yhhqXAQEs2NoU95GoXOIDcA7WxUaBwIt3AFW+4fBuvMH2I8MNpA/EddseIAtQeoFa2c1KKSPDUvEKLGCEsetyY8D0RSO123Iujs8yhTscW5CoV/E4yZhLoC/UsjWxhZy8zkB5gr64yVvBcL3qVYgBXoIKwFcjfMYlVrbnnd+IrC8idsjtHDXYxNXlzSRih9S185YeYSo9cS/AsMyHghwGmPa6QMfyMFFzQECW4VFaWIJ/+44iwaTmeLmlbBiNNlcRoUF83E0b+onJvyx2SJ61S4QQ0dlb2TZSFKuYIbCiufuGR2dxCTR5hrXSBasvek7IjBMk2VUCvcrW+xTDtdkwshoRgOCYpHwyyPxXDgHHMVttrhca0g9yl29guUhX/AO0Ebh87K0lv1DgdxcYo+fcaUdm6ADmKClb4gGl+ypReS85ApRwdxcDFIA35it+fME746nCq4wGVE0r3sDECDNcE4fcfmbAQXWgFIiJZ1LOB8QfHbuHKWGCS2AQfcWq7R/XiqhBQAdua2EX1GfBSLbNnBsdC64g2DC1zfmBjhnq4Xo0XoXj8g+Iox1A306HEv+A4IZfNx8xRLXlbG+d219sAoSgte8sZhpLX6RmlUqyu2f5D91uIqFRtfr0/tShbgttimAgQRyxYItrEQP8AsZUWg6uO8HpcsBxyobzzGNIeCqGWgb1fqNjUDj7hWAji9QNUWnuZKp72aNxHxd3Iwg1ewkqu1EUWxi0jp6cFRUccbHbaXc86rwy8li7S/EzWOtkYNnCVcQkGwyW+1dypfYnKrKhnme1Ci4DdvuPZQacwEId2wo92xq6usSVChzUtjsm1Hg38MhwdMQbA0gK9RJEC0pFg0eYLFlO4rM16hClaCeYwW9Lzf+Sx0z4iqQK9zIBNKvVxAUgq+iMX5gHYxurAnmMq1DvWHjDeGXBTkCYB0/UDQiitbCMrNcP8myIFczGWzQ9TB67zYICXaQ4g74I2gU8stAbY3ED/AEYNfsI0FoD1ARXTkbUfdIG1RlOVcZodAgUG2oJDkgcfIiB8JXRGZ7ja0QgKWVQu/cXOLWQm3b4mk7uLjjABywQOcYAnGQOIV4hFuXxKWv8AMrLKuSRe3iqZpQ8hlIXl7YKjrhHPojc7QtgVtjm0LH5iVLzDmgS8Vhy0PUrLVTFCShXwmACyne+IIAUPFywfhDkAb5iRRdwQKOIocorYyuyzI+jlsSKa5OoAsgPmMRBoCEMgfv8A/YCdLpKqBwUVQeYGi5cCKgGjI9UCrupqE+6ivmcQAeBy+4xKU7olNbNUCocV5gRElNwOkWUClVCnD5hrIPlrysCwGxuKfblgRJVnPiAP86vFx/2BLmapann/AJNHXqaL8pqPjzNeYX+rvX8+yIXfMg8hRK72vC+lBswjQNX+iEs9PX8uclu9WGHRUIcNrVf9giS+xG1Xw3EVSRvplSB9rUbPAil7g2vU8AvMoq8tREe2uIFCa5srENg5MnIS8L7YfTjncQskhTQs0PmeZ+BkJwMUEItaOCIpWDXEFX0mAFWdsWxAZL6LSbkSo+4IF5xUqACmAQupRbxLeL3cICgDzzMiKuvZh6kt5huGWDEU7UAgFUxtdSnZ00dOPcK028UgBZBbiqMZ/clXKidDtR+oNYTCueCUbVCkPPMU/P8AMdjFjAWC/CAthV32UIYajzU3rBsEErmf/GXgnNU7/sIzRZzHUEdhu6YBjIS9/wAR7Z7sMF+kCNTBncPPqCmsbOB5jvlVxUJurwsgkCue4jeTICu1s4jADnxL8RvFriIVN7LinPuGqNZEdOVXuFm8dxlkKbEGm7hQQrkwRMvxKieZzUZAb+osWgrmOA+lIFHT1Fpwq5aglS6cECN0t4iAWmvEextfqBQjDuMyujgIuh5JmRQ8XFiFXWExNU4am2Nc8RbqW8VL2GwXUJixxVQecnpgbXEiPL6qEF2MIA9qxBY6u3Nk+e4Ppfm41BdMs0X2S1ul8y0JqcMariWVqrkQRRL24B4I1wGvyDF6uXnf2RFLRVVDzg1fiDQLCJ2VjU+GNAMW+kneSQvu4+/KppXJSgXNRL1fMqd6cX3DrqzLZgMC0fEBBlNDfxDBiW+kZkveWED4Z2pVzNokTtMM74cQiVOBHbJf1Hp3x4vNh5nDjAKHx6goARraPEogItrTwlckHLR/zxAdLc4COz0GlNfMBUDLeMuONMg2HiYprCl9E+I5gG9Qi/cRaqtV3DKNe+4nJfhhVht5piAws7lSi62EWgbBYCHpzKBgcojuLo5hKCV5ikS77hmofUGqvyUbBxFUJGjBNLyKIcBC1RAJWOe0xTyh0hVPccW2dQlAa1AUXfiH1TOYRd53FJVHCodEwIo6hDQ4bgCCqXb6gvhriCkFXr5g8UYq+IX1+07Q7B5lMJU59SiVB8Sg7XsDNY6MatG1kMAm+oFwvupwMvUeHkzI3VpsEyuvLse0lOVieyna7jitYRpp9VqKqxPL6h6g7SxZbZUGnXml7EEUbFbNYO9fxnaqcMs6WnTG6K9Rof8ASNQQfMc8waSviIEGoj0VeXFBSjIwg1GDzWTVvCKqfSf5TBVXlR0V1UTS9EsQJLChibMMss2It3wT0QiZC/c6ov1HLVTyy5501kGDNeY1ZVeYdqc8TuEAKnUsgM2AHOLIhS+5qlrvhgHBt8wbwEG5Cgv3FRQcRhe+6lLtnc2cy1pASyteJxT9EdRfyyro32EPQIt5X1NI18SgbVWUSpLrvcglmfUoZS52W/EUx45uVlBHbl2M9zbRRzUShA5uCbH5luBTxksSjuSAWug9GRBI6E8vnYHGqtYTYxgJWDiXO3UU6RTm44MVQcotc3TvUZpO1vMB0G4e5U0rWx4hE2uR0RtalgMhka11ceRAp8/UCzdow/DMII0066rmBu1HUafcNVDhZz3seqlV1Xx9R+0TSKs8MRgLkN2viAeIFMOdrZes82h+LjIhNNiob6qhHj+wd0OnTZQMu0rZepwhxSIPHauv9hqq2u2VXlC15YHqrBeqhA5a4qLbKOEG8JxsTvHHMBKeGDde13KkNfLLqTL5H6nMm8QLaKqUMNlguIVrwG4qxopE2C1D5QIs0bCW2NbLWkt5I1ewcncvpqVmS2tVWUTYX4qdpnqBGwuCNJaAllqfctD/ACAGPBRr/ImW8xv/ANS21U5nG/p/IXUte4N4AUFwCRG3LtJuAg6oQvo3GNVPJD/AQ21cdRjhKyG9Chv1GaKrm8qXzgeo7DbdU5j3M+1QsqxifCGWxMBxqDI5ZCKJxByy0Do7gcUfsv2vxhS3VeYrLrBEf1GbXkQNIjS7XqKqikg4hFkpFOW1AgPD3M0uarIx4wj5X8jqDk8TQFtSyzSo1XieYRNmnqBb8E6RRK4mw1Tz5gBFNnRBsRqmPxIXysQK3aP6NwhhXezgUn1A28PmVQpMlgbplRhu7CE7N6jQR5yWBYt5YoJ97LXPO7KkuVhsFHJcsLL4blgNeIYFo9E7U6uIp9oLEZOMf2Gnq4yZC35SI1Ea5eowPA8SgVfcWUDPEAcjkwQfcqYc7lNavqPujepWohAga/YIhwZcUAPLZ5fwxzp9JWnr6IWAWRPGD2CDgy19AUrewc4BcNMXK2arzAOPeHq45sDBcgJqhAH1EtgJAe5xEFTXMCQx5iO2/mPk8KC5YCBEtG41yZbRs5lavSvmKWnDxipG4LBjAVAAxUYPK342wHSSr3jFC2iuYZW1OLY45gnoIFsbpdE53Xo6ijvSqgE8G1Zc3CnLJfoCCp46/wCQTYHEw5alROip8w9Gnuo2H7gu252wNmeSaAX8wuuMdjaRnt/YRDnzcfBH2zrCuB8R+LUwyKXC7+CPYFXkqqg4dUbGi7F4uXeGPM5Ft8wcLOdgmFdxFav6hoXC4TwPmKvIlmnSVDnoG2BsBgmszCoXzfMGIpKPuCXQwPNwaUo7K4tLOX4iQKhwwCTiqK+wE8dMWDQ1UAg3wgIIZ1FSOzm46Ua7iBvVGoDSNNvidWgxGLuDXVXsFgpZeQmwQpGuo0tKekVA9FxSn2uAS9K4g5YpQ2+slt03Zg2YdQDX2CaGIQuaK2HKSvz+owut+Y4aRMt/yDdHfmKjZUE2xLV/YKFXoYBkwm2YwG++yAs4IixxCL4eIEQKOoATQFKwEGPq4tMN7sQ7uCpwRftnFk7n+RsFPEdX4qN0nxC6Kq8wzRvmI59QlpYxbUWCmh9TxF+okBRXPmEhohxKYuPMvlE9suFGiUIB3KcWeLhsBnOSrce5okbKZF9MBwPq4ipVrxTGRw3zAI7cjd7+4Cqu6zYgtTfuUNq+mI6JlEKWYxDHzCMbFOEteoqsVM0o7YoLpxkvH+dfGS4psAN0y4IKed0BdniAFdpw2B/P5B3FsiqPmXXMBrQYDQVCtjeeAxfWh434jfq1xHFPqBUU+YpKUDmB4BClX5jG7doIImBC3RyXBMVGepTi6fw/2DiLFfGxcX6g24XBJzhkNUDfnibsbFGouNNu5CJ15URYwYIqBzZzHRq3RLWKvSIgueYUKxPHqJJV9CUEdRLXjwQUOxqs3wQyG2a00xlFFuXONQ6NH3HCHsqBlneCGga7JzZ+5qdjtcREDBvqbJsNpUerjBq2AXH0ymC/seofnZed7iqcWZDahYHOBHVY3RdEA0cAeoMEeXZPUARvkbJIlpUYNtqOR7hY9Q+uwr+T5jCOoQuRSQjgcY7CqhVWStM+jFCmucZnoZGiPtHdFzNWUD7QlyXbbj1zzFragkI7viKAIKWLU8+n9hlDs0/1KeVAPssp+Rg0mwDgJsIs2U4y7v8AE3k95Hcr8l2VfEYNIOKbHZeHYZECm7zUOtCuYhx95KErzDqYlXa3iZp7j4+YQRxHRsyVGRDbw7GLvDYWDBCYPdwfkvxG63UbS6hivV7cIBsX0zgscb7n+/U0hvxOCfi4ZoiXzKWuHYRtv5hYijzKFg9RbG1ckXIoSNTRS4QOV9wjdStaQT0OmIQL8TAFU3bLbigiB/ZdgN5bBAN6Li6NqO5+xOT1U0YfhnCtcDkHtYXA79MCi+PMDQwJShUyzblYXCNLd6jF2fuJUavi5yxWa4+Fw168QEFvwRbRglHRyXLQaQ7qovMLpa9kGJqLPYb7gyh7NZqB3GoYd9JbllLlsSMLPmKpIK1pYx4qoI69y9AAkWdO4LN5Z9cwkcdjQNihWdNwAG3FAsat+RX/AJAN0ptPMFGLBsdhEe2QUEl5fMY0aXphO1HbuVYxSUFlpROXI9D5yZaHPUBlWND5hRrsGoJLL7SN2Mcw52jk5jwBfJEFbjom6kHqHRPDPiNq6vthhBraviWQHuUQcfEbG3ggm6pzIJDjYhth8ysNB5uWkFhX2XGomb4jZpsL+G6ahgTQaO4ooB8cSwaN3UDRW+oKFZHG39ROUsDtT7i3cuX3FVBagslEV4EKiEyEDqRPCjSInVYI2xtSFZS/2JgDDZjrpGqOGKlANQC1rXFzeormDbAvLyClUHtMpqeXjBxjyYOTv0QVABZDWtOD3DNKUCnlv3zEjRLiKvlI7qNAgmQ2C6BdQgqoFIiEr68TWtJWlv8AInmwF00Jf+JaKcOO7hxUODHwFHaLqFlWua4Sper4gOsiGwakK4zqLkyuAuJRQfEv0NvVSlOfmiE2z4h0aH2RThMdgClcCApxGgPU46v1UFpDfMYv6fEpDhCmVSPJhLqs6hdCIUt4YUh7Aigm74lLsW9xTpHC/c0KEAAL3Grj5JUB/Yd7OUcNekc6fcc59xRrvuIpdnUW1mZZLATuXSsleJH+j1BQHJmwCwDXCxgKhzUpRY7ObiHc5UNVewaI49wMVldkAUPTzOMX7BNXmLb4WUYqeNjtKvvzLm3qUdnHUaIqBRf9it4a5zzKUCfMvBywbnj5mqv1sfV+lYKrigO+wGrL2Us1ULCVTGCWiAFBAyVwdL8QYmu3Bn8f5HOROx6bqKZOAnYJbXX4EF4gGfEd+aX52YRRXmXzh7VGIalruIMKFXnUcPwM2/uMXkAcz4IWShp3FKFgVZDbDtT2hJM7uUIWwSNPUXWhXEsYEKFw8sY/ibhOwBlS0t/IqJdQ5oX2goVNQThdcdy4ZtNqWI3DuZdgrCx6hgoGsZ9SA2fpKafyA3s+IVw7izvmGS56hQ7GX4iawg1keWCuCGAHUqHipc0NjAdH1CJVXmlS/D8JU41lxgiEOY6BQuoBENorbKmGZpzE3yLVHqD2o0obAjaBlIzsC5VK7XzLMKGRuSju4km6LSB5Lb4l8EnJUSCNFYyv/RoAlBlFlmRKh6CEFC+0aFXcQFi/DNIrztuoqF2nbFnEKI3afbJdRB8FpwX7bgTgcepr8HZCHLcVHxvAgmjzdI9I2XKlGB3bjECHtmNN3mQZFcMnNoujJbQ/kTb9x1vMiM3qMqvXU0s2IFfARbNl0S9/Bv7FRSoaCfscg8txUtCubmxf7MgVr3GTN8wATTELaGgH6jdSoZoTIlhfBCIrKvZtSwGW0jiAaOXqAU5vqau15SwzDfuJcpXqYppD+zmu3mC6C/iX4eGOZushVl+wmi1vmFlh4HJRt/cLN145uFfKtrxZXwfU5IIJC8rvzF8RrNh2O6OiPRFoWsqLfjI/Ce2VPlX9mrcvCj/uGp/rxk7Rz9VS3IujUeLMga0Xcg+bdhsyx0RTf/vEV+AVth4TV0VKuFSDtQF1DWB7RTFzbcbLuVPVoBZuoqu0pq2a3XDLRZxkHO5R6JthCckar+SpmLdliy8ALBJXIRp8kS18TNtxAfcaCnqUFb7XOovgY51l1lwpd9eIs73iJl/yEFtWpOZGYwRhfB6jG7drlZpRsRWtmwmrpa5gDTzBA8PMqh0iqkKo2P8AfEWffidIvAdx9zSZm9R9nXmVksRnkUSvzS6I7K3xGrTnMdp5JwbcGrbJx5XqGOKLJZqomfUEkDxwf4A2q7K/EYPGLt5ujhiNpFvhjFN4MvZhirIKVWLQXoO4f5bPWe65/wDFMNaFHARtZvgDyaulB6TpgJIZOWFCLEKcczV+ZVcstkiFCQovhcIUWAd2r+z6dKAUWREEJRRXh8zLh+p7ck/zMZLiEg41Ae+yI0TYq/A8SuKl4sjQ53PqGMrRF1hS9u5rAh6/2ZiLUQsD3LUhBX/Jr6hFFy/EIAo5kALx8xh011AMrjzKjbWWMsvJKBY3xMTxn9HUaMbnbf2D3NwcDErazAPjmUfPqClPmUgtcETjCaJ1CC77j7LemMULYN6r4n/5U6/mbd/sUFuCpymvKWl+ka6gPMugXGjEg3tVjWf6jNrUTHKj5lZwv3LNJ7QaAG4rV47iNejGdAbF5bV7iAH6iUeHFzakcT1pAwLF6BwMfiHbo4NWLKzIl1HQ+iAqokZ5PyvyEXQvUkOESjLrxGCDuNUv/wCy6zZlluGBZRsND1CUUEjuPwUr+4K4fHqMVQddxBRIc5RkKDLaMYwKV5QiJTkjxcL5CAJHy+JryriDHZzF7eJVtoBKmQXONZUExyHmZY42DLa9Q4dUHYACnwSxK1KdacFS5qF7Lw6cR37VEUO93Mbdb4lA/Ay+pwQu/MVPOysr4YWnuKh8sBIlw+n8nLOIkulQ31L8qLhQV1mrbHXmcwHuDCiogt4ivRxC/A6g73j4j5OtZjwCy2w7linMtuS8DF5TzHEeKiHfL2iSW9ne1U9EqCHU3FtXA02TgShc73Ax0x2EInu5w5kVK1B4uIlEWV0bQ4KJatZvSKdOoKqU9Sl4PmAz4hf/AKJ4MTZa58VCaoIfdpYG6APmOhtUxjX2G5SuCRR9IauPFJu2wFlJ6cExBW8QpyeIH5Mu4iV1CJVS4ziIlc5USvF8vgjlTKY5xnmVRTj1BoumXcZXEUA3HrBvlLl1zzBbX2zyHfMLXB8RFQsztzLBEOOahfTDrA+pTlZM4BxK8HEZBXXiYKdQXhDtwMt4qvqoOBuxoXmuoTUOYwjEnLuDhr5mncamlm7bb33BMpXUDA9TzueZaPO6angP2AzwVcAUDrYBKw5YJNveXqM1L9lipHmND42zAaG5LwHoGGMXXuXKVfMbACPUYG68zRAHCrqaVuhhf7AzMcd8p494Fv3xHdRXthxXnCDvAPYEHXaQVcgLh6Et0MOVa7R31EF1IbA7iG9yi1hGgqNchTGQ2oWqgCw8HVSo25S0pgwiThtkbMDVbtYOhCc22CiHATBq3NJY+JyZopu+SWilcw0Ie3Yxz6KrCKjyKjuuObWQrdrhtyVwA+LjFDpRmCBMYDk62EsxlVZwjPNdIRCv5DG2uMgDpLhyatcJFLQ3kgvI8yuRcduEmZXiVcpxPYzJaRvzUM1+eLlYOVjGIl1KXHUfZ7gkfGx1KBrmKNLPE8PIuKJKHomTnGeolXX+wBcfBDbAPD4lZzK4YSTnm2xUsHxDVI6L1nvhEtJ1ecgVVWuLSFlIWjXiUJZo23mj/IJEC93L3AoGl5QijeP1K8P5E6p8OwVFKTiomrAEKV3KAZ3tk3xLbfucY2xG/cV6Ckyj4ilcp60H3FilOQ19VA+u10aSxueurS/1Utcr7baoeqUsuVcR2kAy1+RUJNR/9SU1fZWli3NR77jvZQQp5SvP+7SHDxt/UJNhVFwSOi083CCDBTTUS0lnFQX+lSpqr47yiWSeIFT2/EvY/Ckfhv5gvrPgnOr2KnIe46rrwsKWLez1BKaJlMR1T5IcQbeBKZgeJjkPEtSzwsMWHwUzYPoheyEUKDq5Qch0wBEShVfghgZvmcPs2URfWTcLmhWZ1DOznLhOAvkWPTXjmW5Tb5Z3vqDVBCXs7BwN8wbs+mHTd8JLmEDdP4lUF83K4VPdQyCKdwrKCshtuzuLOAcEcF129RKSEXBgxKgZTDW29QhOTiAhXL0Za3OGmQ9iFjCgaXqEzPNEV8WRhdFWfs4sSiqvEo+bVrL8S8pPlNA4iWHtNV5jWv2SrILlDR3SIUCUbtXEOaENrhH/ACUykrnGR0SVhNEr7sUrnd5EDBQ01/YLES04yYCpgmQ93WJg9oKoY8sl3bYrhyAdw7cESonvuWutgLDR4ihJHcHE1SV22Gy5XcDBg4UhmNkJ4D8HqUtYuVAQYxrGOx0colQtoFMMVmzeUu7FpbyGSz8w2VniLiVHiWwVScx1Hh7lVAHtlAFPiVBd3uNtGq4i0VfEc3ginM8seF0HFwSKMD1r2QqC7GqlxBvmeY0xhqKu7i5ITilIDz+YAuklk2VCFepsAopahcyOB5+4sMI329CGEC0VP6u4cKsq7nxADD/dEqrdS4bWwI6gLQfEHkheSiAscXmGuMV3R9KuDguITXTLXUfqW7Qi9+5wTgJbW3LGKi9cn+RLYUb2ShagDxSkQ9sHUuFAu6fTDrFNYdrEJyOHRGCZ4tDsrK7IxEsUlQBI7L2n0ja4ly2xT/kaFfUcwT6gu3aUUT7CaIpWWRADl6ixGq2iN22VU4yB0J3ySq+8nCARO/7KYoB1as5mpYfMuSW1ZGKq+Y6c6rrI2JbB5lRqIrGDK8LLeImuB1AHLdkJo/yVGg4qAVEKIzF0uIoOHEtoYZrBl4EsNqyUKHEAKIkWDoOSwOjkgP8ARcQ2n3PO+chGm/MZiCuScg4cFxCrDGMAoDH2DYrVJFNgyhF6QmC6Y5F8VnMTFPbcBtA62Wz3yFvl4uPLYuUkWtZvuNwAv5mTXZI4dh1gMCgBVqX3qn/qII2I+Va2ilyzM3A/Q1+zZnglIOAc6m8P3C6seZX1soODLrxWS0845Q50M/kbOkNmaAd9MMVyHqNPXEOWgsbZ6paPqBYgilufPcPDbGtoPawQZVp3hxxKEY6G37hEa3b75MjJa5PJ2cxoCXJDDhsnOWHf/wBxEqFWMjXb6oprEaFD/sC0ylJtzFO+UZxYDBCMq481l2Ue6jOn0A4rY64hwLFmDpleiUjJPuTLII5Wcqv+T/Q63g7KaSgGuayKYLXXyLt4mLT0pZ44hQ3lrhbRn74iJQq2lPjqEaXXKqUrYYnQW9rKzSxKyVS2vE1y15SU9e/EaXJ7g8+V4iNt+I6KYW3mlbzvZRW8eYDuq7Y6PMXjjsgVZeJjanqo9GeIU5r5hBdWsb4OIL7epsMoYm3fUYgfhh21+MiW2ttrZ4gAQAKFRgORgFBxMO7IGiK8XFB5HljGKg2p+JjqfMIonoepbBvjxL6iKd9ShWwDieatuXUxHHHuUdiaTx/krIXBfjolgWY3HyrG1jWgNNl+IMgysi3gSFY6g0gfDWuH+QL0123GrpDHPiWfFU+UHMFFronzkdSqkchr+wBXQcuTEER85Kqj4hpsn1DDC/UNC28JzDBUBaxGXwAToa4Osczv4Tuoc+IEs0mQ8RJ2Rs7YJCuO4UEW5SBRlpyWJo9OMoDsxKyiX2IjQprxhJuGhBa1r4hIDO4KNnOIbNi4fca4Us0Z5HfU1zb5qMrqjr19Suoaj4pA6CJ2nyMq6wOcmhVnidbJohH7gLSfkY1ewENS5sL+4NRsRbZw6lYpXuyZw+iW4b+IJQqDxBag+KlZK/WQhPctil1GjepqHLBYVsZS4QrQLjKkByKj1li4HAEm6RlBs7xxUyg1v313OJOwhEoLfmJUrLzuJvpYur6bCyYnbeFveQGkuHAF292OQPIKMbkUVElwPOy9mamWOP7GET5QRxruNKFRSoxTVL0lfojiXD8DJ8s2zZozYxnIAq402Xga6VvcvNVGQK4vqXg2ncJfe75IsFeUpiWmHHuAp9o7GhFsek2yCANODUswS5fOQDZE4iXbkFX4rKbmAjnbe5peMHqb91C3sAzCL80rkzrVRbBqlxCPL7lhd/ACfVSgmtJQ5eI4CQS068QqwfUOKr6OYLWJ5HcrSgXpKB+ZUh7VjCX2fFG5u1o8EpCt1FcMOQAvjkgXY9MaAul2LA+IjSaJqXHqYjVd2RK32qO9Fk0sqD+SVLzVazJyg8jbgLHrrgguj2FDarmMM4peAJQovb4g5kuEXqPsFz2MF8wWYKympzLBQmwMOJDxexVW/qLlW+GYn6kQ2pzzLMFOwm0FdLAR1xFTir/sKtbwD0YP86odXmOhXCXqK4v/AOUQqbmQBJfGsFSFf+6gFmYtw+YuUR9ER0B8Sorv5nI5AtY+4oFZAB6e7h+Mg4OnqBkx4ps7kndxahfzksGXASgZ3MMCsphYKLVMTHoO4VbzBQW+cgOKC0RKhSqBXEuNTfXtgMELxLCH4gYuVsHhQdEUuth3L428VDIwxZB64xuw97K4zpsPSBQolmtfOxmaHkqJVrXcYWK/EI3BdyCXGjc1AY5k4YFRaCE5oiAawyvZAb/zHma2kZUa+44LHiOiH7EGjqA7p8RTN+ZlKnEsTtKjJYrMgd7fs4QoYzBz1LkdwEuiHPEXY1dG/wBlAMbXqoIBCwCuGXO4Voz8jJHIUA0vxcMexEWSrULiXqcCWLsNnZ2icVF1A6Gr7hQNIhDwCV/61r6mnU4jwEpCegQglNqXd5KGA0vlpCMIkMKWVVsBo7is4oagkamFRQ3de4T6wlVGRBauMp3icIW7WxOgKLtB/wAiE1s+oeV8gZaXY5IaTKpfmaI21rDAygNxCq58RQQexCij45m69M+YFcXwodIrWT58y1AesGVNu4m4qrFQpo3hBbiB2OyjshJDHsQuCUwFLMN3QLfqogOy+phtA21SmIpARatfUpl4HQOxbN/cPUVKN+aqOat6MDp/sPIlYBcl09zw5XZsfZF2RbQDuQFnl4BGp4WVAFvDxFFNiLVwC9vFwEUtfMSv54/lx3HZSrecB7jGvppD6qK7IiNnfLF1vKC966gytNOwv/s3Br2cym0qr2JUIFJtLr+1CVTCcu1s8H9iRdtIb0eLjR/SqkrrqYQWAWDzVFic6KcXtT/tLzG5qT+Ri4SwsYLFTsp/sYumyrrh+/8AYw4dB59NkCF0ZBvqplPRpse/r/ssCw1YtgsEPJXeJs1LXzOxvqbPI8ymd2x5lcbXwUiK4DQXzKGXRCYva8RfiDfN2DzLi5gIEeUS1l8U1/yBJjZbvEvjCtTgxVxCbDphPGu7M5tNviLioe5hX9TBcvkl+hRSVNDrbpgguwLAnYIfAfEAmIN/BqXgvjpiQQLyYGO+RdZAVFd3E4MaabgrEV5lK5ee8TRxLg2i14hOiGoQYUKrlI2wC+Kl4RruQVI4wCMODu5VBNxlIxuAhcnAxYvIblHlcV0GeY1ZyZr22GYU+I6pX5KBR+5jJ9xbj8ZQfCCwL4j3X8wVE5eVLQbPcGpQeY5Y3hg+xChdg2rIHRC8XPyIRwXTSqI87q2E+Jefoz0PZkxMA0TvAYR8r/1GPjAPLH1tQJwtP5CCjkXpGstEoHNDewCLOahftz/Jh3RWq6gc3bFVwEYErC5WcR5xC7L9QgNbDz1AWwH2oAJcTqXo5ria05lvLF3iGuOVydc+OIVGeLrEYckqHlsIV3NXcKmVcrxCAEBa5ROHHNxFygzCMiirtDCGALAa2AvGurIurfFSIDYFWb5fcqhfiYqj4/UZCxl2lwFFFXqMIbaKuA1VXBILSKI4sYSIl9BRTPp/YadygF34VFQ2YrkJbLaPtD6iDaeuIDCkbtrL0WeOpWhs4tt/ZR0cuuqz8+o4d4sm/uODky334lIcjBQABCxA4OIAq16lxS2ypB2OVlzCOTos2IgceYrGuTgh6HmanJ1R5uW9LNV0a31sXWji4R5ggtjprJZF2peHA17eJUsgrQcETriJxyFLEdAJyLD8ICgDPFAb+5SlVrJZOqOBYOtwhhAKlF2lQG65MiCddVPdEsSUDRX+xNAsNZX3LZMXSH8YH5uGa523I1V0GrRHbsNC6IqkSWshr/1BKPWL3nIPpmrl0p/kGLQVDFXGwMp6F+LjA9KeRhTV0zkY+ohLZkKMfjIMbfm4dnSAl8q8f9lZfVyh4YhdB1BxqOolncslxzBQomSnWK8whOl7cHuFJyxCg45hHD7oi3HHioNeRy1NsyjqeNXi+JxHeeIVNg4yG5DssSrzdyjUi5RHfKCSzpQxriCAS8qMoNBwJuCutxEUi9bBATh1GBnkbqIi011Eg77DI4MviDWPMXgYREEfM2Xl2ho+ey5ajKDkZeusYAOdtjt73qUkdeYPOfiXUGwgXtpB2X6ntPiJlHPiCaHvJdEV4IEYHZfMb2nrUHmOi4sMUsaXcG1AQL//AJEZAjH4/wAiRatrygyoeDpl8ceapLhDsGaqif0ShK2I9kd5T5lTK9VHoj4he74Ay6WS8ZHaK2ytu/tyhCXzXUpJDh8y4Iqg4VLkQDNsDZKs5lqG+2ThvUM92jCIERfOWAOsgnpgvW11FbLdBbXHFE4C/EcA1XnYlauUsMahBTe5UqJoXY9CDsDkd2p68wFEEy5l2xI0P/Yk49lWhuQQrCtLSzfEdnUocA6fuNsVR4mHlJY0GssZnREoRQpRGHuj7mg8o9EpPcdFlqUXa3/7xGGbsankvcrSHz1N9gePUQiCMvKjWBAZrL4FHQ7BAATlLd3CLKGFeVgZa7Ihxv4hK/TWaRY1bNJzu8viUEshJV/GwFovICWLOJarf/2Fq9XcrBWLYiqB3fEpqnfIfh8Q74AcRy7NwSKDYnMEr5lYofcR94ypKRGOjCmqrYwA6aNrivUM0m21pPriAsWFz2hQPxkubuFgsKJwp6jnq7YEO3ZdJhsFHOFg0NAD7iEBW0Jf8X4ah5Y6qSS3u1s4e+jR7+pYsg7hlvwz9jR2CsJ5nDJTP7QQDptRcqoXlyQwaPJLrVPWRCv5TANPMGogXgi6gPC1fx5iM81dQWC+eo6iHWrqr6hbpNLeL3/sDcy+GIg3XicOm3MpT9RXd4ZzQ5gBT0q5iJfsJRvtLR0gYqOZQTFBbka7OBDCqviiBbGOyV2CukiUPklf+XdNR1KVe3EQm+HhBJYHmEaBfljQ2WuJkb4gBtU8Qb6JxA0e/mKShncFMVvuaQeOmKCMXxAANTmI999wUtOoiur3LX5MU57mdN2cQ/t4giHflj2KrMtmGcE4qfNMDjplRuoo4pgBBmbDzVZHg4mjoXqjItDQ4h7yUbkrbIUWIbwm0zgGBGNsmsQYV2juggrQRg09y805baYMSuuXKAX8Hf8AYFQbtEzmXqOZQktaXTET2EdyM9FNTC1/ZedpzCahKIhX/kA6lRfs5/kp3oKYQClhl/e+BHJK4LOJ0jFPmEKihSnJcWQG5xtti1eBDC4PAviVhoHKDIyHWcAuM7kAGt46BXC/iU6JQGHlYb4iRcKXFPgAqvqDL64T99fks7jhUt6ojxIWxy11xCCRFfotNZZqHhUft/IIFoUBhtr3DoFPNihS0ktgbUhr525V7DcYQtGoeUQ0MUINsPa00r8ws0u2Ccs1C43CeMNXciHTdmA0HndVNLiNeclgmQwHGWf9j4NLUQ4Kz39wuSgDnMK5TY81kYAiRT33EPzW7GHTYwWhxx3K0J5TzGjrROACNVTSHcK9DLBMrIKsQNvkvv1Bc0X3AlitOrDGl/ENw40peWKX+HuWPZY/sTi8tc0dnzKzgXOtf42B0Ya7C2IUdxKwe9goPWTSrh0+4AvTzDEUaAFV7jaQMAFK9x6Zt8A+eP7HSS4G/wDZkcmNZpKLrROYYecmaFXdeoBlGthaz/kcgdC9lVd//kU+DQ3Q+f8AahuvckN74Yg4wJGviAQLmz/1BUbXdcy0tQPFwXZnzGVF+6//ALKBl+eLtqN7c+DAwB+x2OVWJo9IJPRtaE1NY6PjMZG7xqaglGwvlVvUvAcglpH3AKnkoqWx4+aihfEAwt7GMdHHAxeJLir89TEXb5lDouqrqBQqOxgTQ158RyqnS4Sq/caCEK2xBwc7FoGlRWErctirdZ3ENEclwtZRkLPGuAjdbK9suAGIWouwQRDYZVGkf447uVhBfBM2Z8QTHBvPUTBplR7YOoFexGgcVg3DDy8xWjI5JWYrvMFPBj6U/Y1it/MRWL+YzYV8xwtcNA5gteRujYm6eYc9oGDo94xUqmL8SxVGiezYpE6mjNDJil2ZSgOejYXESKFneUEI3BuT4WLXqFSvzVlEa7HToQCzpVzOJngrOz8IyD/LHJZRk+gBWfcS6LZ7DZyINddQBVtWV6nktP1Dag6St1fNyKrppLEc6S6qhJ/UG6j28poduWFUuxuYhcFXB/6ij8Dgc70oyx49NqgAHE1YJuqH1LzImsIn0sxrqdkV0eGLl5Cs81pnPua8vLF+iELmmVDdORUXNABYDTgNwquGEtF07ZyXOxIgVcvU40teBEX45yCNqngpicAzXSpZxTLKz/sqdA4nMW0kksa+ECu55GjB66mnbCMnckBQeoaKqlC9zBDe4Cq8XxCAO8lypQyKMHmFNkcIeS07ZFAyOKQHfiIYfcDUiBzIDFHmVfBcB8ywrqo0QXzTHWKtdFoOvUHy6o0kGfAK+ojr+RIk9KlC77mq4OrMqD7idnl5vDB0RpqC1IeBgagfCHCbbAFR+QngT8lq4FP5QwK4jpHyLkB5hZu4jGkXUraNglCtfZKHOB7jpmCCyjOmAQBRyMBVdnUVlx7D8hG0emMOLy7Kp18HwQ0WXc6Do3xTkPpmn1BqeAbgBRSupVQz6sjC+6DQR81Oy84nQArVhXeGxuAXxcP8kBWU52HlPgMghUOaWFgcPDMYR6kSFs5irBbgygMK1BbQUPLDgvVlXKZ3bWXhKNvlCaO2B8Er/Q7cEupjLA2ADeCJ2efiK6EX6iZrvcQ+CFio33EM5rmAFlLs6jgTVxuZNP8AhO5XXiUlH8hrGRdAnaSlfUlwWTkDXpjuib9zfDUvFu/mLdg4HmH+PA7fmUJGCpLlwYsR5L3eJW+9s5SiNBG17h4pLL+PEBJcLsWHMXlWAVoKzqXYV5Y7Obg9HzKFVx8Rmm8nuLYFtOSG8BRB4hwFhfYs1oN5Ssr+MODIS9rU3xc85nvneSnkhcYlB/Z5gY6hTpSNvcBHFYRhBgUx9QuZvudfcTqHwlq0I3feCD68YcwZ+kl9Iq+/EKNCBtUvg7/YVSLCi1fzwQ9pmKK1DxxqsXKvUaQuUAgvmguyNVjxbtyiu7gWwgSPxYx9i5TS8xZHYP5MpKTuMHRhbzKGHQXOgrLAAN8zZ0NZ7tQpuP6nFEYPHr/kIIiYdmFKKLDj+pRUviFzP/AzAD4B9QEf5GJeXpAKKjxU+jr1OORWNSj5FQwNL4hUNW0ZzA2VKtJXba1U7wg3cbzz1t8hGGAF3FuHmdBvmCDXZYBb1C6uOZrdAqqVUuNAAem+3YL8/RSUClO/uEnVcHqLcOaqML8rFW5kQe95qEMkCRTkCwu8GWJC0JUtQ5ZrFG8R2ODCoOORYw4T2IYkXG60GflxyCPdhFCeLg7BN86A+7uF/UJYD/8AYfMQ3BBt2gtRii31HNGUFXxzku4ZXlwSqKbJwffCKpLx2/cuqGAtVRoQb2QMCk5yYX+y8OvTKtAKcXHeS8F8zcg03ZQTrmPQE3pnDKY4WVekhiwNwmXxMXIAsWnNyzDVeZUACubhWgfQs99QbKLyMXNX7Z3LsA8/qUKhG+4FR459ShpGu5zXmuYdAv8AYjQN+WoSMNEKHuX8XzEpQssqs+Zpz+REAPzKuhMcr8R5Tj+/xKoB/I2CcbRxKhX8jbizxBctjtTnrCpSpVH9CFufyB3wfMziupReY+qaAbH4fEckHTTTmIThaBqVBxbdHELdBwxWUgWDycv9lzM46fbLPbXSMoB9PMsdaAnNc9Q44cIcR1tAKvudZAFYVINROOWHMXmm9hXZEi0pAtUO+Ymd9EtWjfDZ/YNSBA15Rg6HFVkudaGgZ6ixUC2Slg8NwRZ5Jz7tdDbjgL/MFgcwmIMDhZrlSZBzRil2J7TU1yQHW5wCbcHgvuOlNl1EuKYusNpft4hoUV78jLYCTdyr65ywm7Qhv0hFvhRF8joGLw24DqX1AGkYkKb8SXJqmjYO2/aL0H1ZLysfGsZUiGUykuaeiU2Y9A8S/JdCRk7L5NidbZZUt5cmgHb1xFfwuC0Q+VP3GeyDjzOU8NyA4OPBMtavi48FFVUhJA5pUd0nmSg0JR5i72ygFQV8CwUoNwES6slT1loMZxcAbUPbuMKijmpRooVC5eriVw3OhBFqvC/S4RYAyCwjqVEOXyTOQ4q4KAMZfMUqfMDSXTFgOmWziY1wExYXyJLEWrtgNXg5cdNCW6nRJCnMHcyiiwdjAcMmG0D8QqM69bBrmUHYHpLmwK3pFZH8mPP4yltXXiJNVEoBfIQ3jNtUCt9X9xihUL1coQK7Q7lwMSNQfqIIvcP+QMIIqXtPEXxByM0G0eGO1gHmVUFvc2L80RatV+SNQ3W0RCQm4xJGxTsYxu7vEOnnXFyr0qsYQ4TpAUHmslQ3/IFrlzrnxAXL5ZRRNIvipVBKzXHHcMvD5lkHcfx/sorcd3CwBzzCWa/cHAvwxge3cSEd6nKC85Htql+IjhV3zOKh6uWxT1FFOnmolXsdEFdHMt38IiTgvcCohxsG2ncsEajACd3DPhuwohRBeoy6PPcCdjoPg/2PUHRhR5mYUleN9QVncAVQYOxXakH6xYUWzXELL6JYPXmYJH8l3yS7CDQHReRCgDdR6qNPIlHcuA7catCGoSFjxA9aAJRXRHmPeoXZSeqUp9XA4hJKIDHQJkeaI7uRiXTXqNBDDWUBB/3dhEOWL5+IcAIy3aP7f3HybNJ6RA4N5LMSbx17+PjqYDsppkutNdBgfGeTSvEByBdaFgDjZQyvMUWbi4hvOX6/MsMpdtep+YWQDjLWDiNEz5LZnaPltNRWLZbgWP4xINBqwyts1b4iACksqMvdhbfEsvVW2JwCtFV/cSNOG7glYVnceFA8iUNxwqWwhVa29EEu+96RKKTmiFImsqjXmFRwvHgQJdUhUP8ATHWJtFwWlp4l13z2QSjwLBapHPsSiUmJbSKBtHgqZDoGC/RBTw5vvpriWjJtc+LviY0FfMDsZWSqO4oYq+1mUHO4NIbDSrlCkPCVHpjm9DJtvHJ0xKAei4ZBvGmDzm4O5SAqoRY4rZlbV4qVopfmPUP1ANB+xvr9Q8sb5qGdA+kCwDFRCgLvmaDC/Y2pz/7ZbQgVugNPIN/UtCXBq8qo9SOhKjBLaviKNsJvP+x8tcy6aJnPUGWFd10KHn6hfqhVlZLOgb4GWRXOIVUVrkYrulLsjVimUysaPkhWizt9wUqJxADQX3Dah8sMKS9QQbYbGTThK1UK4ZynXdw6oteWJcg9ywV2zyHcIlR7uIbDfxA3x3LHXPNQUI+oiHkhEWcVsCLFnWxVgp5Y7a7UOl8XHGfiWSp/IWaGcHcFm2XD5DiKdlYDcSq/dzzGfEZSoJ8JxnMFAFC76JdoUpzCcj18kNFYL4QSrijqHsMhf8J7I9GEIo0+pbwUVeRfFufEpLspeWxeWqiD0UzFw9vD8DLlaS1qKXzZVXB/Jg6MDzLSpQh+Tky3OECbsTnK6+I7FVXljNa/PrqORDw9QL4T1ZTQuI45guXS+yAxzIxKe4Pdseu8R2j/ABGe8Nwq3SG2eJTuUMFZV/2Yi5BeYCfixKSj2xOt+7isUuVKd7gVQqm8oFFVrURlFHa7goK0vuKK4aHiGJbc0i1R44CKjXkJeVNvEFpgeoM2l/yFkIktTY0AHriI8OQ9K5h0WhXYyXQKb2VKuSVaD0MFYWP/AGwYJzONzPOiKeJq9h3APO4w9D0mh/uAj8IXwRziz87xuXpixaLOp1S5hKHR3Ov5LdwCCWvDPvhPSlSmsr1ACom96j7/AKep/wC6l+YQz5IDfO0Romu+Zca/eDBPOzLbOvZAo4XHHJGpgyyMALI7P5+R/wD2ZAi6VBHXW6pqNqueNhlqUBJvrWMuUhOT5lppBnBLP8xoBd5Dq07BwDDmLh4Ni2LlF1UoiOT9GfyWMaWl3nEvhVMG6eNqWGVMod2NCKz9vEsb/wCym7jU9QFrjPB1HUZ6psv6bPqMK68zE9GXULDWuJRtXvKi8XOrm+WJGgdL3J5bLjIovlOp1QeZ2NcvhWMXhcSyvutlFb+y/hveYH+ULRbfyBCb/ic77lbf+4BQdsLdX/IG7OeI1F8ReXxHJd3UdTu8JoCPV4XAKPzkZsLuFd/6ygtfdyoPPmWIyMO/uD48fM4fjiOUa/Etw5Yuj4jqFreVi0oPupbz3AYG4MLuJkUMY9NZBaJVrEAOoQNtDhXXuEripnAFrqhf1FeL4AGH0B9QKqU4BE29mf2LesIsC8S8y+gCifqCQSPWcATB67FxUqbPKK+WBitikEKhwiUHmi4lr4yZ8oEBB+Q994B6CuBu3fiDx0r6FLXxV/UGIJoTgiMA9MBON8zdxP4cRuxQK/Y9mjsYFPqLUPm2MJTNAcZUwrl9tyjS1ClnsslsPe1pcRrJvFKwOa0YksL0aSApsXBxc0+2vRg4JCZJS1JTCuRUQQut/wAJilQkV8XGuyrmP/5BuzKNUIEGl1z/AOpWMIahePF3/JSOvv8AhCuEarBkqqvauGwA2XqegBkAcseXxKMCIy8yT9y/05UltvpCfayxr0Slhc0rqHMNrhGEnp+YrvI4lTTgTDsK79QBrKaw9E+w2Di4cJs23EBLmHr45xbObKJKLhsqjrzHx2fMevUdHcvpAHWvBNXAZKLpfnuAwDErJnTLeJMUlQCV1QNrrTK0QWOe0QbEFyFBLfcz9U939gs9eZX2l0hfINKI/VcMjriWLkPzYWw94MnCSw//AHI8d4w031/ajKXpYa1f1HmWJapqncftifC81KWuTn3ATIU7qUUwNp42Vsb3txGPbfPcCfE2D7EOJkQ1xOkQj1SU8srU+eGYO7zfETQMW43Fq2CCHC1Be2NUs5QX+mNAWUQuLWo9vXEtZvE2Opz7mXqrvmFqQ04bzuKtLwuXq+oqEeThi0+rm0t2I4IpjoJf43UUHeMth9baJS93SLPuLFiPMpYX1ASv5H7WwuJ7lmITLx/JUqn5LjiLCGvEz1i5IHuYMOdgMMPJtKm1cu19S3Ku0H3f9i4aAVjyRnod2Nu3X1KW9O3dpo00BE6tmGMSL+hN+wCXLdDZsub5ltYeYLILq1je28SqtLKUPgefIeoBaPBiotQNeF4IPKBvwYNoM5VvmWapimwt7KvI3LwcRnLM2CApA8+IxLWyhPcMotKR9y1UKY1Ki9aizhmAeRD7l28HGLg42LRcfubaIY29wx1ztHSkHnYPKOeYQBS+UYRwvKJ0o4Ff7HCBcuAULW2jCWIg9EcLrKBuK/PFsXdBtzwUfnI1bNUAPlMHxmunuvcNfl1rbmIWy18uYEY8VlwuDHh+QpdTHo69y0/NW/ZipovbjDZAdK5Fo29MjtC+Al91yCAFKVtDxUIRbYGvvEMMuIPg4/8A9lZqpcu7KUxbnKWPFisLSeIB6uVxhrtkOOYXaQv5NwLBDEMtuKA30Tkd1zHZXEsYp8kpbaNJv7N2RRwyrcXLBjF0bL7IdVtUf8mpiRKPmCdelQBeHvj+zg3YDOFv5qUDm85/9S2kwa47ahGxcDQeIlL70jxf1AUAa7e5hW7iNKo6eJWSJq+ZV2EcXCDl7oV+Q+g4gUmrKGQRiMTfMywgQWLUH0Ti+B8oLTFvggVuC6dZfbpaNL2h9QYP/wCCLiHjSI/jH2xIpRfcEaC5CqzphsK2bsq/mJG3PUKrlcSk9vbUwQ+DKLFB2wubSo27vCkoKeqGUCemcqztWf0+iweugxh7HTGUJvm4aDrvmAgCUmHpj28ktr14jRbfxALPcrLF40LeKQG83ykcCfyNm+yMtV2mkh3QBBSiexKrl6niI6/yUhP4iiAOeohAD6hVgsPEKAxOcRCnMVO1cz2czpXicoeZiHUOYacDEXFvWRRoKrwRtnXzL+7a7ZbCuvMJ0XSqKrwxiQDHxfID3CI8oQCrh1Bhy4m+clp47/5IOcSzN2OSPPwHinVQ/wBNwixdMLXK8yFB+ItSRygosoD23GNVWbGt0Uuo4oLhcSwPDxZUELN3jxA0x6rG7UY3pEAFwH/EsULce9Qa+QiEG1PDVxbzuCvzrjY6ULeu+288Rfat5rzPmcwCFeeBhMIuLXQ5gx+WKgVvPGRkJOUDfKSiWwqlIE2jp2uREqnIr2UbD1UcgiAHQkqgROAmmi+bMl9STUNhipVluIr70ZcBey5boK1AhNxMM7R1FlGVeHxHhISVFcn+RYfjZfAQrTwLb/8ALia4IokSoSVNnQ6Yu6gMBYPeRRRb4IeV3kZygKvtBiQC2owpsV2pjGVytxV0fkqz/wDZEaeebl6g9LOIgCoAtdjx9QBm9l3uL0BUTYF6Cl0eofLittHrwzkgXz9/d1HoSxaOKub5D8S6K8cDDlA+5SoL5ubpokdHBxcCq15qHgN04hb7vkXOf7Gx1XA1A0QU+J/9TijLshV6nMDrWLW3v8hbVHpUNjGoLeJ3uEtyoHe3KQ5ob41TAtHqdsHhYRgXWvME2nhWMXQGqqyMji2rKYLbXjoSpmCw/wCQer126MFIMXd2X+RdJRguVDNKL57mvgMPmJilhRZOyvLE+yEf8S3Kze4gCHmwgTkMRrHKl26TiGJa3uLVBeojYCg24yNRvmXD6YHpVXmPCIHNMSo8eZTkbB8vpLmgUjjVvthqOTzCI0T+S3WSKEC+6i3HUGtF+YWh8wU0fyesFpWpHS8daC+hhKM+JUOl4JBcxZwTr5RWQBwa6hhoQLvBFB8OLheF+mWojt+YwBCjyxkBtZkUo0eIlgt8xXDv5Zs0zjIllNFZsrt9T3kwM6i73dy15RrX55YqBcYWjfiOeSA7sJ8EfVlVEHg7ltqRo1W+BVfkDtlFgF4ZnbdIPKFBi0pfD/ZkIFcCDKCNipTa0gGn/UQgAAaXwQQGPDI8l8niAUaTS45Ua9KxJfdjF2J6S4gUCOGgkbgQu3Lw5SPuMHEKKVHrt7a0ELa1Bl9A87N1NmNLymtgVtRuRzT9xuSAVUvmobY9AfJsc81bq99RBTAAfSDwfEENiUDcFrFvlZcCtdpVS2WquTz+TM4vUCAo75RL4UEdVQ5sIGNTyGkW0VpoiND+yUIDPEbQDdhsQGbs2o7TJJES4sCh2RwLL9jDnLxQ9KlOBSsF7Jj6tHHlvvqHMcWYdQsOi4Q+Zv0FPweY1JBaX/EfakOCyMDU8FMFqp6ccsPwhYDeHAY7lBMtBimclZDda0qVRGdCbSl8fyVi7xTuWNcBWA8TST5/hLrpwcSq/sQnJ2dQVwOoj5+5Qob6mBH0wisWXcZ22dQHXmA6MbTlDiG7PAV6+YA7MFF5GxuXFUtN/sCQKcjVNRU9YCpqf/dwA7sPFh2ND/FjEjXZBiuJUBkJtCsf92TCIgCYXIwP6Msb/t7i1NI4RGMPNkCDF2D9lTYTiB7gZdmQNQ+efqXvgsXn1KXQRnYlQrtsDCKBi8pF22PcYuVfl6+5TnjhWJXXwBLBPBEQuOcMoRJUxMthsUnV/M0tFfNxVre/cuIZqZpOIzMPTH0SoNnyYW66JSQF3qQWHDY9r5dwtttldwTgjqrxcYuc+SC1ly5UWnqc6GnuWNX+wbQRTZZQwawbaq+IBOL0ia61xGVv+o3CqIwH5lKs+2agzxCLCjxEqmOiLKNp2cxzLajn3AUu4Ss6ijQNOJxKhJrx7g8HxsO4PyHoVfmER+SXfpAIaE7jLXBgXQPi/uECTRYEoiyQ0U1m/wBicXxIB8R+3rSk29iwotz/APeYCRIHCgc99hqnmWNqaR1/sooKsODEUSOImPbJc0VXFKHkSRVi18QT0VlcSzf7NbiQwdFI9kFvnxU7Rk1y/Eskm8rVwchIbSq7UbLyLNHdS1XQpW64qZqbsq+uYszDLvxI29grQce+JSza9xvn4ILuiKmOHxCixRoFkFI2kUrUfIRigK4i4w+KlJVn3HSVi9BaYpAiBzwS2DXpizBysHRhQTIzPYvA5CFRFly9wVglIMIAgANfg/GxBbvzi16IugRal5hxDJnIAL3UufEo26TqDK1g419QlwKppXEPN1cU6y2lrif94Lhjz3uGmr6g2sVgYIiu6AbG2+pf/wBxenmClLR+2IYvZFUsfaiKzNaJSmF9DWzABZigQtBfMtRA4UlQUVZ5hZA4DxIs4t9wYsLLRgKgpqiVK6wp+TdJuXTq/fP8jQBs+gwsLVVUrrTmWUJeDPXzBojrKfIQaYZTh2jIE7l6CN2pfmDHRRDKIW4/yJMOuLlqwPuE0x5rmcSr1XEM2H3F/P3FEBh8sFAt8+IjInmrbZZeeN4RovjniWY1Fe6ZYwXfTmVtLquI7Q13G7zzLLN/EX2qNtj4AdFT/KI7uFPEXoiFTYUnQmwCjWXFW3hKi4Pgm4/MAzUeWLWXD/xgHaZ/8EDCXObl/wCqXmORiqIRFU9RUS1wh4FYbjvHTseByVdV8z5CHY+YjcZwDruIoYuwwkAGfUEluucBa57IbNdwUJCFDXiPAfioVTlcoAjVTi38RSPNc3OYJdsEbgb3DNC2i242FHIQctHtuDgiqvmLEweVbrxBSOeYSqIFo86AeH1EgEBXiwA8FVHrmU7y11RO4dt3CbZBVHuzJWKtYVt5v/kOugcEdo43JX+elg/GRUujNc5FKdFhXm2KUYBUEMlubDlgPzKVleCK7tFlLbFIJ9o8yYOCcykmsfDFhwxuzYQGv5HEZF9D5iBbLNAPI/UD9pGujSqjxsvQ2fLcam0KRXceFuzFuO5ReZb+F1caMDSB7fb9gUc8eHgHdwFGY2h3jv8AYpomhQv3MWT2zCka22XcSLRr1Hn6RAj4AJKGkc4uFou+i4M8CuYv3rVjDducVEZ+EJLhZkG2uV+oE2tzFasCu5zQNLd31AiZAGPHyKloezpQ4XUq4FTn46deIQZnK+3zDXBlKjNSy+Iv4e/PitZ+schoKr14ghRJ2jiABSfEWcv0gX2Ag2g+4ZYB5chEoP6JSF5j36lamJq1ljYksq0QYqA/sRaEO3cdwC7/AKBsfbYqL+GY+74lAu7ZbtLP9gMsq0NPyJM7GovzbCN80VhBmDpDwkaXetS2orVpr+SqQDxDz7CaE0FtuOFvSh0Dq7Pyalc+g8V23KrI0s3S2oHpie1H3xnP1Leyn7B4gw7u9a5GEP2ijEJBfN1FGL8syBrqB2NvqDKr9HUAsfhSptWJ0xDhAsMqC1czy7lVzVboaFZ//IgKlrvPhKtAHdSiCeqI9bIKDO+cmaV8RGpbw9Stib6WNQc+5rESomibAKNPSS5QEWY272sSit8rHAXHzGxw+4A9+4hEYYB6l7ejdbC1vEeqmcXF3YfbDa1HqYQLxAbDbipZCY+Zbgh8zmhz0yqg9dwXrgwqBqVhUXIlgBFWBFmbX8lG7X6gACAWj6gpRXSEORkvXHRDvTlRpnXcM0jmZD/kIORvmHA6GFe4wiG046itYWuBgNtfUCqeDuUAS08wBItqNWtMO3HxFILWguuCK6M8Ij/8VmwShOCqfuW5UTtOZcMAb6SB2tIcV4jQ5LFFL0bnK/HiVcoNZm23VCsfZG1FVyMtL4hgwV55hV6Cq4QySctSF7DdZyoyuV1GChzQxFeLpZpHTwQuLNDa38lsPopY3r4hX0t2JKlQocDm2GJLbDSF/l4PvUAj7ga9UIHQLTtgw1CktCih56i8tnu0WXUvCGCFSnlcByoKVdOdxG3+TbtwDExWq+eoFNZgrzHZYF2Z/wCm4TzPjGFP4sNSlWrzcUvRyjS0lwlcGH/+Rq334nL8Rqm+Wqq99xIpKulrRf2yp1OrnpCE9AVU4O5QB2NQLtqPRJGLcqGLLeMyWZGo8V2cuwe5TC1weoqBa5GWLd72MGOYbWRs7IgtIxxVG5yO5/GRDctrWDgb4SOGXC1BreA6ZV4gTQoWHRzDPqKd9qkAgl8GuDxAHQeJYvteElomDm3MtBnLKwqRe3mX9sRVRcseNIdFRXGVHavNZWJ02IuUG7K8L4uCu0dFngvmPV7L6NLgZgOUaj858QPbFRSGcR+K+AmkpfmFS2eI4S0c3FIig5uSCXhtpUB9wuzVsI75v5/stmNimDrrm5xDNG1tsfv0mb5DyQXx+oeQgEWy5vSCCB+zGGfMHT0hnHfllbEoMqIl1mynqq8S4DddMUr8tCkWvOeIlxj8F8MUitcuHQUTuVyt3CULqWZZPNx1Bzu5RsPqCEiu8RngyA0ZnnTysFjiiXbECCGvERaY5UMxVC2viDD44Y9UKqUs8ypxfyQDSO+otWP8lFPE04/JyefUBQmhL+ZQezuIgPuXRQV07nCKBxBainDctysXm4ovBzFqHfMtTv5gFQgBGzwfvmHg5CakP5BCg2WWD1cvo68tm5DP2lIvrbjejnvX+QdtT8AL/YbFy1i9bHq1CgNJKNOtZhvmFhnbbwW/MZgpaHLU6JZXqgdjt3bBIyHPNxNhDRw54l90j2oD4fXzKKaK50wsVAXa7uW3ttx3uvqGiBqFS2v+yhF0NsRVNRUI2WfMLtSWFL5uLF0ag31Uv8wvA87ETgc2DxA4LuqTdg52DXCI/AMLYOrT69QHbR5VH3CkydAbrj/WC2q4vNmSFCf7xCuFPlvuEFQkuS+Pk9R4RH7Ku+zD/wBSisXKHW5W9O4sew2FJ6jpRVNAyuXxFPvBw8W3cGsAYt3llES3fYHVo+paevqGN9wlzi1Cx3c4hkzqAc1DyUUqj/kUWsW1yS/NfOyjAPmAWCVzHuhrCATa/UQpTu3EWOzUMEYEaqwGlVx8y2xhdHzNQrY9h54gh1ZHWBsO5bt+ClqUeCPDq7Y7jwTGe9vEVWOJqk8XFpWNUs5YjlGNOduhm6tLFg+2EwS+Sgjtv9lnq2+aP9lPMBLWn1H3jOxddR1RSrvuqDhLCnMUgJxSXeD6x7q+5xRVcMEODyg1u19kUh+D5jvBUD1LTnxsrV0goQMz59xcAvCqy5kUmIRNxhw9xFp6BjEF6bnEj5uV5R93CJHE0my7FwBXi4Cp6gd6U4VENqhLP6xcgR4K4jaGK4g4WFsQJpGm8y4NEvuIEPK5TwfLL0PPiLFDuEdRWxayti1jnzElrtyuoFmfsCgC/uV55UwBd5zBBeeZm7itY/2CIrZ5jvm7cRCvo/5AIDjzG5jnzAN41R1kBWDZQVX7ZQX5CalncC4/sGl/yZ4hM4ohWoHPEWhUX51LCn6qGQofEAHJR38QVBUqCuXmWQ5nAcwhxMTDkfYD9xpW7TidcysmqoIvv6qCkLLrz8w6VNSGwNKkVuu6IVwQJtG4vWIFsKqn/wCyJwgEWo6y8qNENx6eUgJJrCCvlTHlpvQy6hrdDG3F5t1MlWfJ/I5KDRUGfDXiEpHsahMhioYYwIg4W1PcXgjYQvtyMIFbn49V9xcz7oyuM8QRoJJe8tRWztOrplxfRkrv3CpILm2+wIbAxRsbpAhIciBcR1S+GIG+PueypBprGoLRHl0HxZHpLOlcnmyH5fIrhcGcAfhLFG/DUzi+DzCYNJRbLx/EMqNbb8S1ESj3fU5cFBhUR3p6825VlfJCRl6YVtHguJDVYrK1e855iId7CLSuL2GHWlTr1H3WV+l9w8Qq9sqPdblB3B3UvI/phOt4ifAs5kJUW/yBQlUwav6ZYnDQMPaKVahR9ype7dC6C4qX7Hwi+9/yW6hSsZuJeSoCzohFN1x5jOeLz28HuBZf1JI+eqhEVaLIWHv4gc+Yzfwl8A2cEwIHZAgVOalMTfioSHth5uOkLC68RTNNwDkj2yqpFgCxc6+YMdbpmIjUaHBL8QlHZ3EYIWlzXH0lEa1O74gWFNkCv6h35g1F2M+Uwml4sJTmCxNgYXM5a6D8iFHJhDcclQI5ymLevoY2FxxcYmttzE3ttlOT8TdQ/EovX54goVX3Ky30Mivki0sJd8RTeK8R0Fr0RAqeiYFsB0mILVSRUkEWh3BoXUolPi5mnwjCnlEGxt4gyiOFw+Jeqq+mUDt5A6iFeZoLy1LlF47BCvRsI9Dhl8A2Kq9yCZO5Oui5jkJ/Ja3hFrTz2wLtuwMPPmV6FHUFpDcSMWK34hGAnthnc3qaNoZMTfqOEoBAAKXgLDGRedxxdQqoBssWuO4U0iLi4cvUWAUeBtluEFBp8A7mP8bFnbzGyFJBVHcIZOwmzi2F+VC1ocu5fK6G7eLIelZD7al0pI4oyDIipQPFfcMRqydFdsepSYHEc6jIFXKEj23kDWxergGDXzEJgUBYeFD4L7liyexI+7LEbL51OBw/+yCP4Y7Id67iEpL4MVuj42o695RXpCUFkCwypXsLvbXic/wRvSWL1q2/hL3AsopgjacqQv1zGaX9U23wXG4ltta4dzzLoSMw611DXsFl3jfE/wD2DZkaQPYTEpCq/wAgDzcWKAvFMdCDgMLSQHLxPEWQ5+PMTCv5hAAKoM7IdoFB9wRycKigm2nEIiIlo2YyvdrpzdRXFZEVK05AviXpvVfMqTrw8R9Ba0ryAk8rrnE2k6E9lgtlXm2utmd4h4WtfUrKrFvf7s3KPKx4xP8A7ZYbcIB+2U1F8wzErzcQKrnOQaU4Yz5k9yl7VDzVT+IJ0hKo1efEw1FeB6jjWiTpb9w6bXeQC5UaQqlkFpg3QGi3ZXQcFvUAgRoyu5ypVRl+NiwXut7jqJq1XCSyoryhv0mD8bq4ARF2j4HMU3SgUiHNMJs0OSPF3sp9NoMuvuDVo1cH6h6NQ0H0l1ODWDw1zxFilvFVHmCA8PuJbtP7NCiu2AbP7KpYMlIf3BitPiZyt9Rm4irSUQ6bwkJIvtNS9m6uE1YKohp2BL//ABB5VCvAslSi7f8A5hOhLo4xFAl9KlpTFOEjeQtKYqX1zL02x4nAB9wxFNfMKiWPJBtHFDCQwU7EAHFmNuWsYFEiSt8TlUvywptPuNUP2OGq05hL1wBEQdvuClf7O9DAeIUIqvKLW3qKQXeZfBp2wZv5OAM7GIxDAGIk5D8MrFeMlLdd1CaYAsJwKnapM4PqW7aOJdweFQIIpWjqILf8mLw6PiBCoop7Np1UVbyXXquinxKej8HI8hwMJc/OVNAae/mXQEuWHmt9sCmjXtsoQcOYQBWlPyBjgOl2Bjudmc8JfaFQnBDoinS4cv24lE/sYSTeUIpI+X/IRO1YlPuXQicnZScMJ68xOanVSpRcFGRHS9ovEFQ26OfpgJj/AGiaf0JR79Sg5zLLyyodatie5vyoR/A20J8RgA0angZG6XJRogxwm1wTmgLY18w0Z5GJaxwKWs6XuNzezmjjSJz33Dtl8BQ5tiA3rQTH5htq5bYDLaUIw+ItbrCAvR8z45lAWeHMZ1piLqXW0a3OGHOzhBMKeIFKVUujxo2NTBwSiy3SoNBZ1LSxl3cJinFXrx+Qyoc+UcSw6+Jo2hDj5JTAXJZbIIRrtb+wRQ+GIFR9jsAo2eZj/a4KH9JsbbXiG2YStR14b3BQ1+50T/YoqyxK5Xkig4ju9R2iE1SFKZ+pSLe9lrKQFQMnuupR+VAHk8/2JVcNZRh8Tj9rgHmI7RwvEc4rM0ZYCm3B3EF1sU5gDxiBumOcA9JseBqLpDsxxkEBJ+B/yL5Hon/1N4IwP/oikFdrdQEuHtGwsIPSay3yVOtgNXI4wvhlk6llhy9xAHv1D6A1ZdQ39EWy7lAAc0mV7VYCJxw5F8XXMIrWW+ERcFCpXo4XKgEmdEvK4wKDO4VtrAbfidnWSTxxFwqc3SDx1lB/7G3golQ+yMjgBtP6QxSxD2EPIjxNL8TmPqXFwVW3MLHlqbssYil5Qiw1kpHjfNxSgPdE1AfZNeflFW0So6q5DuKAKfMTd1UFReoyFc9xIOviBfiuYkebjVF7MwAvBSKIOdXKhrrzGrD6uHIMQpuM2I9Qq6zuoNzcS8A6lICvgYhQNnOywUdpwvSw4TYGneiMQVr4u3P++7jweBmxAKcyk0UwZq+YOs2i18S1iKlpqHo3gff/AMqAkVdOIVvFtXlQ1bvRXfEKJlres4Y+Q2ANZKyA67SwG8vbl/QPVVQa3jrbcsQO0GY3A5CjPPynUKHnPse4bqUFK8MFmjdZyjaNnZgqBjC02n54h2KIVfywlx+UCGsrl8HzMxX6DdiUiO4jzgHg5hMVCycjN57NA9xKSUpVXe48gKPVyrF2jkYb2+TuVILx2gOpt99wmVLSZy5+IVY8KHu+IUKGsQDvyi3br3K7rjn1GpryZHeZ9KUL2hADGzPiBBpQkUU7Ah6DZR2bKJDETqUbJsNKGpvslhACKg9QVPclhm1eCXhdiaha5qVShci6EQpjND9l8RfcSk5txFYBDzr/AEEopDiiXT8Qk2DVOpXp+e5/oGFYAGwqDdRaGOLt9UZhb1jIJD1ELJ7eIU0OCyOl0cmbvtteZZi0Q244Hx4g0fLmDgORbm3xGrLwQfC5mpovgyXx0aTywOh2rGOlXZrqB3Sl3Idyc3kaiS/EI0P5GAKXo7jItdNRB2OyWDRXN9RLgIL8Xmb3Si059xkOAQyqOHuURCYzCoauvaME8l1dsp4BEriI10OINcG+opW6mzgdr9QhhhBfxcUCCiWF7L4SXQncCYelYbeBIJafFaRbniATe1bi7jE61AaJzzMVrWgRFah4Itdd83DJWkMpRfRERY31EU4e8itDrvJ3ROuTmGcNIQLXLJWWgOolayBYq+oybHEvpd+oL70dX3FCulrL77EOKXfcRBoj2ysKy6xpT+y6Ftm8y0+Rr8gQBqXhBaVdMSsT7iqHP3DeUf8AR0yyb7I1vkXuKOWt5U+YScDLErTfuoEcIEyBhxVVXqXBLCHMtMHiJDDwxPET+3VKGXslV8XDYpFQ/rC3sMBIBaGubpQgLwipkO935lUPQU7KSBzCVnzHHMQFhFiV/wCos9cdruIPB9mS0uXeSmZtxAKCrcjsiuqoU0KamDU3N6gsq9kGqXMSALial7AjCfXiBdDrTH5jWYWPbfUp6BTyPiWdPkteZlLATxK6ubW+ILUHtwl9JbTsYrlRZu3nOITajmncT87dQjGFyqhWDYxN1aarCvi2DDVDyhI/YGWdS5rzvqcGx3O4XYGbbGSlEANzRxABetwH9wjn2QJTjhXqWrCetQ+gNU32QWNawvYyAOPEuNVH5Zs5SGd1eJTcBxRdQbA/IJEzVIMuO6I6CnVAMuwJbQFin4HAGm15nAQnVwKwHywGMC+Ad28ErvUBQmUKWeItDW3AbA+KCKQICulQmi83LA3QZl6HYqN4FPIJksAfARwiApXmMtwk9BMPURBUPGcxv2dygDHYMmrJya7RJcDZKFRqEybt17ggvNWUQsE/kZabeSIMG+olD+TKoMUAVcGoroq1UCN3GNnFwmNs7GJtJxchQZ5jMjDiHFLOa/8AAOB8Y6XuVcC2yqioA+o1Q0WMg1KQ8DSyo6oK6cI8XGscLuz7iBUmiy46WGuSLqN5df7HCpXldQXtRYbANEC3p8Sgz6yhrvPMcP8AokAuua3hhW2dWaxkuh2QxPcoZuumaiivUYh/Jdm75IPpbOiaMC8UhFIHljKBwbLxYFOFi4j1YFUecpGhRNIqTxBrSlmy4xTx1HJsE6+oBaLchndV77QLK40YFV+TrIAAoPUyA+GC9DiNqOwfssfxzGAXxBfYrxA0bAgG9szQ5ZebKEfav/ZdxovYdhtbBqerXNX1GyeVHUawNVAK6gvM4pkeDXFTvvRIqpVvK6F13D+9RYxMacWdSnDt4CPeWX5WMxP5UvMBRn9lmRyLohFtj8R3SeaRYDy5GsUucpKjblkqNCkeX1MxSrPLCo4M/wBgxbNLO9t0cvmBaQPHXePmv5G/UnJTK4YvAQ8F8k7l9Fs8cUB0Bj/ALrwlRVVknupYrxZ14Qpgq4TGQN6h0eY7L7ZmXuH/AICvIwMJnHB1BG5Q0L6gqVgPpCRt7F+c/wCypLbv13GrPPn6iFP2nFRrjFQxVziLRTOIiBsdyF0evELD5S5UrIyi/EW6oG5DVh4ImNbygUQEUo3UQKQDQlcvRc2VKAs/YNpbuD9R4+rFX6pHFkvVJijQ2voikl2u8X/2WoDZcx5fPmL/ANYbsGx5iFvGGo80hkfBzL9I+Z4gOLYhkMXUIQoXAA6OCYN3BKuUc8hD4K1zEoQXwEIhviaqqI1WF3CKra+45D05mpItJChmsEhC+/dSw+zgirw8USmhpRxDb0EMUseyIbLnxDKBfMdp4jO/EAgU17hFcgRD8v79RMrChE9RQLzkn4uU8Zy5d+TlcbTU2mbDNF+b7HiXYteYLMVqHMaujaA3z/2M1pD+IOvTGvasqXLXVQiNCVTk3TLivnuA1lxkbK/7Kg3qcOcOxQB4cl+vU5VxHP8Aqcu/7HQU5nBXUYF9RCKC4X6hzcBK6230xRfGvT68OIVKtGXL2uXuOHzHGpxAtriC7sh0XE3HbFNwlB93cYQyaqgpxd/cqtCizDOI1FdddJz/AARBTVnEASroXA3m8Tie2uxgsx4TwlR1+vMyjqx50a/5FPyKBVHqNj0vauUc1qu6JrJafJNThvwkOVq3kZzDFXlviGX+lkbYiQf2VK4cpd86Yj406SPvjTqUt1HBFe/J0bM0S/XYKHur+4ijgWs+oCUa9CpuabMK+GExaKLF+4MIHAY2ZQ8czELXmUtUoiRJILKO400iIosZKTyDFynOd28rGaCzLW5/JP8AEge3DPrzCa44txLTYEBW22lekcNBVLlNfST4nN8B+5yEM64Q/OsFchfcFs62J+LqUHS4QuB7gSinIedN7JaKBMOVXxBdY+zmJoOB8RoTKBRD09QPpr/4IvSg935cSnvKVwGv+zMP4gAJzQB1jp7RLv0eYarjOYM0ae46Mt4uf/yFUkK43t/iV2PX/gq5qFb/ABCtTezAyrG93hwsHJ4XqMz4OpcWu4DYwgFstKeJR7CHYl5uu4zOjf8AwZNtBLinPxO4HeZ4XjucPqGrvcAsbdT+OYXTkqBKV3cJVZQ8MyC4LtjMDbwjamO7vkxF3aXUhupAfUJPhrw+oByIrSo2dUcwEEbjqPH/AN5hQ3nsCAml/rcxJ7XUHtcmyElA8orPQfdoR+LBnj4RPMSrZ+GbFnNOfc8Cpli8EmPqEM/pPMoY31UQI4YsaRxGn5dMsPeMxTdjdqnmKG5Ql83L1OPmf9jPmrzMLf8A6IKvGMIdONiEXZrmN1mpvy3+RR0lzXmIv3kbAcUW3mE5is7A4hTCxQ82iQi1Rn+Y9avbB9xFiCnnuK28MRtSbYwBmmsfg1kSIT1KSqtGLFA5Bq4YTIoc1xE7rFg4gNnG/pgJ5oDFe2zyIeUFVDEpg2GNk9iI6MpX1/2ILa3ZKreDSXJaPJdTef8A3kSicQSVIt3uWbYsAR8+ZfQJx+FPiwacIRbTH01BDqGLSupUUvjmiOTJa0vqB0tLruDY02PcOYGoAqy/yWBHWvMovk4r9RrjoUAKiKQEkOJUYrp6hzSV/apqe4D7QA4EWNeQxlUWvBjAlpEbSrIgNmMVLrN+TEXQ5QzrHqhFBl1HMLtPXTTNj3sQZNnUYlceoTXmS8LfKXYfGRVGhODzK8rCUIkardHH1GUJCcKcsDcyfZYeIiGto5bsSHtPiIFi/NwBbKGIs0KeSUBVbS/lgA53YTxXL4rZ1irOfETeavT47mtWP0kj/I8AYShUfYI3i8ruUNSv/wDYdgblC50cBjiB+QlpKFu//SgdCtF9kSGhpkCimcMsC3xDQX5yXa19k2jYCmcgI8qiUnuUKjzh3FpzBMtgr9TXnINFMS72A315lDvbAv5QqB4g4u3YBEvOIR2kK8y0gcdSq2qhry7U8LwEN7XqNQsaE6V5j6uS0lry8Io9k20xatvjbIo5rVUXqoaD8OV1sxc9JaCnIg6gU0d/6CBQpcFPVQGnGwhjAmW9MWo0cIh7OAHwiO7rOj/8l360bhIaIw5q7UJvbQD5qAAkpS1tV8iyoi8uZeS1+GDgvaMp37SFa5UPa59S1tKcjVDytgAn7xgafcY9G+bgJb/URdX9jkD8gKgHzHugSgRynxCHBAiEgo6Ll1S1lTzcWeK1XgbHPEN0H2yvS0g8+fcdhegSXkAPGoAAtWoaxjt8uOIlhi5gkc2pFFDYS68WwVfcB/8AGJOal29S0Q3NoHK8T1Ah2X52cUOQE5q6ryDqWKtqkPU57MKvcIbVVZ5yDIYoCalFaQaKVRkBgS7ZBejAFnqAENmuZewVo6sYwkBfkmKaytg3b9wsSlww65zxRGX0AtJxvzk2MYP2Wc/5CcLFLteAipo2FpVvm/cE6qRlrpeZeQv+Bn2Ry4DgVOXG6q4nLx4jjSuaVBu+MgLwIj+gLhyytlHHqJVg3UThY4qO5YCRzjkv9ZHQTXOCmYWYeaUG+cVZw7ZjeeXa/cGGAEJ3KbWfyaPhopTqLUWl84B47m9G8gGEhQDiniXgG/McEadVMVr7RvcGKwWveITC6fbiAAR+lfECDgW3lr42DuMMXlkM0jzbkx5gSwdzzx8wJTDAYKV4RZErIUsvnmJJT4h4lviV/KhB6lHddjbgMWJykVk+ZeonUuFedlvUvSvUEGUWj4myKQuDd1X1EYLEXAocCZvMpxo/VW/KU5sOa0n3EZrmIZjna/BWQ0JAhT5efkg4GXbwvP7AXFVtXbZtWvMt/wDhSWlCvhqOiG+ajql8LKH5BIjX7Qr54hCucMFCDeIxKFVL6QfTdF+svNl+OIBErblzjxbGYN34I8Hi+GU7ofEVnb24HYV6IqoveKlMCtnohUJ8QoFDXkn4fGpqYIeRtRHo2y9nHibcxxtPpZ5QAa7selUWZsK3Ib1/sDsFhOj/ALDUuBFFrlzHAprDeb88cRVSYNVWgnHnIbDezsnyy6BlhurlpuxdWoiCPKRosK2vpHrC+EYtIJ6oVzLUkFhOKGMuPtqw8B4lRdup38cSxo1KgxKX6mni+VALs44fsXDgt3b/AGXbsee4hp77gURtZAkR8s8rHZLXVvPuOiFeyAc5Q7LC6C6geWW9X3Cam7XiUCC84qUNBzEIUJaKc+JXuaSy4IC8awVVmBE8H3MobBS4G/lT6nOUEMIfcNYUfMaodXVFm/Vf2Ea1477l92sGB+54Q5bxAF35QodJGSzRiPPlDUcvhF1UVoGXGoeY0l8Thf8A2THGgq6SmIin/s2u5eIlIU8B1X/9jHHU3qKzLI8CAypQHB9jFk0bQmoQhEM8RRRAb06pDsO1aQhlTlqN4usH1KiIavi4rSlHBHj1mmbeIo6RBloSpZQhQMqolBwXE/8A6nEIRnANa+Jyf5ehsihGq6xXAIB+ZUpo4IiwnLKtM8niJfOOqo8CPZiTHPk6YIyQN8/kGeBG7ntgMHtshgBN0zpunY9lTgAcGJpq32D9QupnwXAEDgQ4viKVPgMvVbFJ5fMPsv2xgPb5gYuxwepsKK5SPVGu2AaChldSvQKc63/I6/zjFrf1BVUu97bOu7XxkowfjJarDtcPv1HfcGO1tczjvrYeW4MW0eWGuZG28QKUdQUUBrqEQZuLammI+jdMNQcOwXQ5HGiL+f2DxL9CoQ1YCoQuiACmkqrrfGrYNaNFfdVB9lv2zUdDhV8lYcNIFcS6AtlMZ3IhSNxrcfEzCE4uBFLnmWOgXaj0A+Yrh07GPohfceUWcwaDyQq8YZKJoWxld5YaYwUgD5jBoCUEA6PiGqjx6TRmox3vyxASL4GNe4eSPY9eplsx5qV4ceLlZTsKoA9RpKlAOcYtckfArFyuTZqXVEEm2NN3ZCJCdSIF6VDUj1EZxzVXPP5OA2UpZcdToi5NH/YivSnkuVflD0lbBVetsR5Lll1bMd5l3SjjF8QrolA3C56VjgsJgOlgZrLzccTU07uDwyo8dcv/ALZyt4aQYF8o/IgIsdFAvqKqFUwl4O0IUN7ohxQu+YK0AltRlKv1LhN2DEfQxr6cbcO0F8vGsuwceY6Iu8S2v4Q36FSjfDcgonB4lQaHhAmBmNp0a6gFSd0Zoa7RzT5jFfroAaXtFB0gUHRt5i5RLrZ5gH1tsWeiUXJXofUGK0EQcOFCU1bxEWOHIkoOokLqPvVtnmoG1qWij+bLVKcBYVYYzAQUfg8w4/g3ARpqaUtP8mB2Ns6/yLIuEQfL1AThUwK6ddS4XDRt0tyv7bAFMpwIvoEeKmjs2V6abSDVRv1KGhYRa6gJfJrcukQC/KCykKSue2OBuEavPzE6lC5PQvfmE3Fn/wAcR0x5Y9BbEGbsTlZ18y2sg20rcdURbSzfuEqAd5GlROG5UQhdbga9cNRYZss314nEHNt/zUKJpytfrLIi3ZQs+HqU5YzN+Lcj21fbb/YL2eDBsUX3B2x7LYhJtrmIv6sJlPiKNV8IpatLmS6FtxlTR57g8wFHUEtc8ty3UpdjsqKnYGvkxXTJ3ye95lFZ4/EAtuLWoYoiahUX2qcefUWzCFAgB8RiRKA/RE+UuKCsYolKDyZEV+c7IGDaZUa99wjwahQjVvmBXfJTAIj1ygs7g2DmAFEBKbr2cS84It/l87KkLrbsuVPheQgeHSVfnEAKbw0PwltXCiUAeI3B8o1bBO0Ob9yiaXYyywL5YACqx4KmQIJQDLqmZeyyrCtjThA5G4jXVxuyjAKrhm8QDWK6Hdw6RnHeGjY9LH9nq61nEq7N7Ee1uWO/1xSViympb9QohtVUWOW8wFWnw1L1fWuAKrmHcAhUdQ+3XbCwfw2sNjgdvK4RYtpeIfYajefyGTN/SC6qEBVHhjiXBTprejd95OUae4jn9p+oAZiIoqoVZQSPDlI8bE2AfcqZTqj8cQaUFQHRVk1YO9KLwq4QfKTblOyzIeoVf7AlsT8TmvUS3Wl3yHz4iXr6gqFH9jU7BkBVhhBqRE3bUZRMIz+hLVuh1KWjjxB6Q0a1zNDxzAQuxq7jUZfJfuXdOjZd/wBItgr8gdflLM9PEakL9kJRdPUNxAtPMsGbw4pt2FTMbadCX1GTiQC2jUGfsrpnaw6yUxJ6phYfrYYUZtpSGS+vwpVG5EgzVv0XBO0QamfcQeCxnndTP3tfMfctz7A2NbhydhGq6yKfBYrAgkO2FNRBLUSKjaL+I0Ja8mhY2XtRHWlUzabBDH4gHb1xA+j1cq+ITN5srmSIkw/cz6H9F7iZrtvCBNjS44e4vFOF5PMBQcp6TdDKEzwMzbC2CAwuCZrrj/sr6Gjre4eAM67qnhjV5KFAFJm5HENXyR3DV5nC1OQkWSw++xRpFWdS2tfog3WXmCk+cIDrW32hBGubYAPL2xrz15iiye4gBYY0Cpyw4gRNRXSXxCV/swh1qOqVzlE3Uo8MPU+keoq2LYKWVspkaxVc/wDcKLf8CAamcB0eyJMR12laFY7eymbdghBrXVFksQ3gB0ep3zHwJdA5PNz4akfqeMq5hYAKWEQ08wENaMbiB0rUbYDmQiBTX1KamRDF09XkOMKLK16urp6hp1Ul3qXcA5NX5j7ZSeZXqxvmJ0R9wfAjImteYryg7lLsumn3Nlb7MAR7ZAIv9mq18kapTjm4JtYka1MTaJawzmyVSY5/8YRAl+J0uBpjO2g0Eqp52Kg9cHHKFSBtqjiF8uZ5DGBmsXkJ/wBMTEGj/wDGFGUuk3Gk0oulZ33EfoLKZPWQFK5r4v8As4q2VU/2cD/UbyVFEr46hd7OwgN8SWs9LF5b0cWTmcHavnf7+wJbUPHruuZnEqkCeQ8xzdorhOOXmP8A3ogFq1uPZ1S1XsKEhSWRFFqYuh1DdPqBIEipHppIqamgqJDKmx0ZguOY92ANSDD/ALgmq7lDwO813sFl8p1hyIV8mqdeHoSkgjypnKHU5Ea+IE8rmR+HUvTLZM1b52YwPEbwibKlJjgp9yiAAHc4AIviB4/KUpvxUqUte8RCsWkMmPghJQA7grWKXvqXFVLuQb4KsBzLGOC8rFfy4k7itdzaw+DfuG7043wjlb4oyyeHI5jRciFsYgG24VN+IWVunUXpGdsuquKT8iTxBYKEqZdjDdc7AngNn/p4irIW+PpFtuq5A7KAJrHZriNVQVui3kSUB9sZwuAJYOmWbF0SnuKVtyF+pcuY2EIknOiIGBOSoraM7+IdwV++XDJmBDNd/UdNo2rtiqwwPMeVLE8QeYVK2jmUAZ4XEFKBfuCixF06i6Vkv7iJ2nbjWJF6IqAXO4oC15qIILF8Rgfri4NLB5uUNF14lVwuLioLr1M+UPUVsxOkmJntKn5IZwHLyR4l8RLtKYbSfkgHNnwilS53AKlbdw102syNlwFxLIK0ggiFAF88y8EAsqt4j93AgzGnqb4iYs1r2DONLxAGlV9puz7h5CNSwmmG2HohM1yqNWP0EQLhoeliIq7AiiBrp/2MxyOnlYCGlah644bqFygYkVFVfywCewDdy0E47jCEiZIRjUYOvvAUuUjlV1zD63guCYXi4eltzsAT8pbRnmIAWtrYTDviXppJxACnSEVa3WM3ssJRigRMqFa1A1LIxTk9xHEJt2lutSsZ6bdyQAq//lQAAsH8f9lQobBjBA1WjblnxLH0hphpcUBcv0hL2Fwuf4zOx10qM75y0kLvYtq1itbHDuNajRtlHbDjwyoo7xLUT9nD/wDZTFrrnjjJhbU53A1Lrc6gVqnxst1OiCmLdpEaELHsuIBKniF34nCsYlf2GFQ1RWfEUKSmKvzQwfgp/L0HxDC3VYBhr0KgUG78SxzGhjQB54gi0URoX5FqEHUvGDb3CXbjzc2bG2IlCZB1uOD8pXcvzHoANbDALzDjkggbPcTorXYxDpecJMcfNxOda4yMUi/MNBvqDJ08wZLSzmU2nc7gXthpB+TVNjX+SmaLEL+0SfZ2Bz9lYRHoCeJUVvUF/wBj7uBmiH44Ru205R8x12lGp9eD1DF0GoVX33CEk6AtRehzFFv5Lrs8reI6YA9M0nZiM7AEcVSe4PRVei4nL2lfcD6inU4DHAK8AqH1XEx0Cts4+pcSclxCBVVgBMi7EfzDoLjaD+R8tW1Y71sCz5hLwepR+Np7+bhVVQjTvv8A5HBlwnWuOYjtPGlIbcFRavDLkvxCs2tLkKKEZYqLgU8LuWYB6jQWu6gKJHfkhVFHi2QzEXOBhlnXMINDwQXAvNOJ8QKxXjMblhSDlIgGpwSoCvROEf5GEp+oWuFcMN6Ueo6DB3MkL7J/WkjhWHdcRzgtNL18QGXDWAJemym4yolNlX+R1K6Rnqu92NQtcKpl6WnDOI8NK1MyoPDEJBxbn6jNyZ9xpVgcV6i4rwmtaXnGupbn6THMTY7AhDYYrA1G+vnmKbGNcnV7MrrmIQix2LUvKgippe3cXUTDsfpa8JVzyxdaPzBba33LpyRgVWxAvU/ZgyN8hF7g4MVrW9PogQXyvECYYcwSnZwhU0zq4QEp4lwUQiMn5KqGAKOe4JYb5YhK4WXxL4QHWyo3H5IgP4BkVhzyxYcqxGogSnk2/wCSj1VnEs7eaprqViim4H/katdcPmW5XbQ+qghVaB/pI62q+2ZbVy1Crq4h5fgKfVQHvuNG2IfhpVW/MKql0cYHbQQNGHPDuG2ORrJCqOSqlUBv0eR4j8daAxZ4XmZ1dUKp+YSkO0jSZ4J2BEJ17kSE27ALOdmB4wkOJcTkEpTgXlQ7jQPczOUS2CjNMd5+wZeoBMo8eJjfDqo5oOSd3GQOQpjhSshLCmQwt+pYRfd2eFXxcsBXPcCzXqp4LZ4ikT7iW6fMa5bXhlCi9hUrfmKMeJPhgXjnpGAFbAsjrxHVB/BB1SVgvzKo5nQtS+ISzlJRhoseFxuVhPcyinh8EAXVjfcAEtU2dw4ZjHSM3mrSMKK9ye4Qr35JYYs9yzX0dwx+YzljzC2uVY38kKVNMqDEXWKc9LlFKLg5AY1n2wKkauZjSVZdFRjKlp0S2LZ1zEvuE6UU8PcZg0rvrJXY7oOoy3lT7eZyjmF8ncJcqEMt/wDyPXB5ZbJvwiywAp9dzg9ThnqnhgCzZ87+RzTWt6gsg2IqOKRwguTC20rEL0piiuj5wb2N0HUTOgbL4jineTmOqQzGq+GVJZ8zlPsltoHuMA/CUofmXVn2XKEbbgYe19oIp5+YKW+uoQqs2Yox2/14VTA5GDYLY2HI8tDKMQiCPh+GEdPgK59y0PLgjmhXtYDYJ2u5pkLau5hzDcUAD7DBejcAOufBBBAtkVmym8BGdlm+AEvLlE9q4rYeQLRuRXaQwgiB02GKrnioCyT2kRircJEP+ktTb1GiKTnIKoWvXMQInoiip2bAU/bmVsutCA22hzcEg+CGEBPVS4LVMrx32xEox4hhT4RgYsOJTPABvqapIcXDlH0ykJzTE1gbjo4Opqy50dQqWzdyseDuOqNh54i1AOJfqAjebHkydYaz8gtFixK7sShnzSKQJSu4qhbkQPFQCrUqns/VgsVtwkylI8e0H/38l66r8zIglrQNuhKHOVhDbeoKtm2st2kHzc82InUuQBVrxKFQ+FjBLfeRpYCw8StdaKvlEBGKFLsbf7G8G0LyNfGyuvZw3uRxal2IpLd5g79QgANnZLgX9wVAzcXkuQrxM9z/AIC4eJ+IpdJL91DzLEUIdzNhbDol0m/iHTsQ8RSGh5ucAG+WYYfiCXnjuMKr7lofxGoSxtXxLUSxF4iMuuMxlIfAutkUYYGRgOhcMP3GuLkOI+M7VlBDgW4eVlPTwouLaF0y+25UJCqdpuobAQQ3W4VXpkqvcKKgE+vOXOQJzRr64lTWaDZfuJqkqBYQ63aTsTv9Ap4mRHTFancCMeBXknEYAWECCdGniEiioGV6j6KUx6D/APsN7dQ4sifBQi/U3aFasDzi9uXDym9Ej1s8HaTRnipDi7mTH2XOUVWa19QEK400X46ggbyp/wAXDrIOq5KoZdGRIoA3l4eIRltCFH4fEFgvDlOV/wDcQiKGWm6ksf0Y4sFHMOZA1j+xb/cxmvA4uEVD9xTnTwXGKNEIMvI2AApcBiDavPMWc1nNzhlHjH6wug6PfApqSlezqLg1RRDIQAsJy5D9RbGq9hb9QYW4x+CpwM2imQQcl17AmsC+O+fyU2jW2/CKmjMN6f8AI2RGsjwrGxJ7DFndJ9mUhm51igvtI6Re0FrM0BwxfjKiC8Lu78bFpkLYqjis90f8IN9EGoKRd1mplDbrbSXsa8DmYgVAilqE3CFXArixQvMaNANuWjXojl2yteIwlHe6gc5IalnfUvTr3HBFQpwRQbARRCIF8oLsrslggVsIYKeWwl6T1GyCOzuyFTbs+pXAO5c59x0HqkdjfiauAmR1HZs4B/rFIHYrgGwp5wuEmUqq3/Zb1L4D/wC4FJPBp/ZRPCocdk6WmxT0y2askCcrF/IE2QSUVwyDQKdUt8NQPbxGxqsuAZJbYPjIbrLg14hCPf3H/sWiGLTcfRV8BYFALxfEuPDqmNCrMD2J6eRFFNxSl7HFrcqW2cxXCu+5y1/k3SQAy79S0P8AIVoWjHn4jrVd4IKnB4j03c81NFOTglRap7IDbmbh3vINjpzCIsrIjIYAuYhtynET4CMCir4qOJYWUNJ5QhcijyVDVbHpCVoSgqMDVkXcKEal7/IeDyHH7FxR7YhYTDxLvSOWYZq3blXs4Kl/B2mBain1L/J9BWOFh01b3ETFU5K5/wBhkTsTlFxyyUHHT+wh4joP4nzQpEAoh3jUW3uUWI7ATZsQK2uUVtwQEcVDoAtD3AqemFrm/wD1Ll6g+I0EA7cS9aowpgVqujfyH0wCFBfewExNdyOQziauFBW02jkBeRVwL2NL4iSBa2qx6Mra2StMmgor79ShifDT3FCXBQh64j86qyXGXRQA6ijfHzA4uvMM3+7nCXC8WOd2n3HEy5YqC9XA+6+WMXQbsEQ4FLcyhlEdcvwSvgI8v6JoZ7/NUE+mkAV2MBGMHiU3ktaHYl0eLgPJDe9+SwipQC7/ABB/PX0UFS8FFbsuz6is53hk4YhoKUhpIfJ7f9g9hXAYDthy5XiPHsIFWWOa2FxndkPRmQWX/QIWP2AdfyL0M4cv5G50Vwb8hqV8S/EUDKp/XOjCVtBLRmDH9hpEIKvfqagt4ojg2eMivfY1UrOdoZy0moQWaF9Wf+4jsqMbRA5DA4dWi2gGZKRIdYhuSlUO9JK4A3AEC01csRVgA+Z4stIL9JkbY21WRKNLxE2Y5OoKMXG5Tba7BgJ4OY63EHF3CGPxCBk0rFFehzJyTvcV3w6uH7glepTZYWAzPBFwq8yF1nYnx0QyBe6poc/kd7XdQaYftjj0/WqMB9QLDppnSw0jITbOtrh1fRMLbiUHbTA2LKakgd8wGzFhbxfEZazjK/kyYW0d9oGGfY8+4SrT0TJ0ry6i73/8g2Cqciwn8l4r48TaC3AU0eGMQJewvwMZLJ5f8jrWD6iHlUdUP5FH+MQK7+JQ+PqOZZEADTKgTjqFMuFu2B8jqGNsziaxA+JSVq4yNmFexbz+k56OsiS4DcjE2U7kRNdqwiOl4Iob7wlILvbzUQDUhsYvcpAV21bL9oN2scKg3EuOGhukqS5fyEAMxxYnMaFoUBVVBzPonXZQpDidxSKRbcI3QZmZYKuFBFYNreY1PwnEQ/Qr5lyKps4lEFUbxZrYNoJL9CxEOSVOqEPMIaAOrGEwBWCbKfe6iMgpYCJWnlGhqGkECidSoVJfOoQhFhTYithMNKi6JXSDp3KTA/sAKjbBfUPG1FC+YBpmNtf3AlvDHSXFqIaqN9VHa3tRcxnmUI0ilfRBHpwlUVsW2Fe4xzSIox3LTmdWWC1ODYH7M8HlTnhIMYbK3Nremw2J1TEB8BKpicL1+RIWovGxDetzCC7q4bsa6Leqipb2RdrowWTqtAIUsD0cRe0gFS/uaol4+uJ2Hmo9j8r9gbWoNVrllNJbUfFdwJTK0QPhK5iTUqWDvO43qHZaAarsGQe1Ux5XXTK4Sr9wStbbD9O4aDpLLBHbiDjutrqUeCUiVNs4XqXfW61FId9TCv1Vceuk1fuVmh4h5IbDE7GWplpojLtYJWoSYHCT3icQiA5CbrG77S2koDBpFESjKjUi3zUQigenUB3B0cpqqu9ILB2vxEF5ykBfMsgs8MJZbeoUVA2jh5EKVtde1FmO7RunoBLyopJUreK76fMSRHiGMpxPkWw1wOij5Qtrbr3dMG/RXM6N8VHc1HSTRNGODqAS96o9FC0/cXgRuWPKkguTTHy0pDwG+JYbOgbExo8JwQEA1niHgz1LLqx3LjkJwS/gihUAbK6iDTA9HxKOFrqGCm5yCv3ORGzgDHiM0nxUbyCJUzDxKQ1dZkIu7mpTDagPRXFyuTe5UwC9SkxrALI+Y1WvN2FFNuayN2W+gmVUo1ZQAKO4SNDkCc+d+IhClsHFngSJv7MqfYpBZZs2aII1wClNX3Ne2Juoxyx0TuiLI0yLy9zPvVjuWdG4SHhj/bC8H7GbK88gWdvHUqLJnoeoQiOw0QBIdYaRvFUVXATTYPHU+oDB13+vEq1p73+QLFd/sviMx00w/vmop2MjSjMrEGsimo4KxewOOovGtaA+zxFpYtQrwWLqa10gMALGi4m5q2xOY3Y8RiycCz1AOHHjdfyW0powa8xFF24p+xYUVwBkIp+pQWvUAUQ5A4ge3qGuH2xdRg4PXLGeKvmK0CichLFo53KwpZzUAspW9/EfIUgLKD7qKTIRZR013FyAb4IBtLXFy1w+8IHVcKHEHUfS9imwOalkFuGf7ABMm3Vb3Feugi5WfkpSYI7vd/Utii468Iq4ygFBn8jBARRSfLUtNmMDd1BR9zA5OvcP1kck7/yJgBJlQFX0dg+A/UcoIkXi59Eqq1bYsXCt5oMV5XxMyjQdCDNEKMWjmIilLdwbXbrIjMhtdN3/AOonZTYXiWZFVmCVC/hCgJniOC++blMKvcVEs3dFdiP10q8HcqAVtrmHseDRcYVa4VQSyFsV6ItkuniO4Vj7l9TobljfuURdVhY9wCsW979zfEuzESD/AJKVPqjUI8dLRCWPW1arfuBImEzgqWzSNBn1GWoZx5fUBBcD3ZUQCUicF5/sRQsExWwQKCwVqS+m4+cWACu15xYj80tcjRSsOqe/w2dmCkT7LKWFHJU//rCAcCNLmS7HYNlLx/CIAp3iHIfyAGytl6JnNR0FtccygvL2oIWF/EGWgEEhVX4nh1fAQtgIJRbVzK0cNG5TpH7OlGontYu1fsdtOO8j0Bc7iqgDGMA1uRWqa8Rhf6QypZzEQIrUZAotDjZdRLsEKlnyRAm3g3MD5g8h7l1cWixCMNBELIxpV90tePuCmmAENhwBAYK9wPwuBxxBWzOyiKHqs7YPFE9BIYGjQ81HF2oFNjOqkX4NLgDlziDGemKLxt4/kRYJK3fEFJeRZRFxddjyP+SpeFMv4WX1KQXd+YnAZFcQNUnIg5hdQGgZRauyqADTjJZBKwNS4bYiifEfoBxYcJBUtt5uIBbnuYY3xQwBLl+Walx0n6I6iQIlLv3zGAWD4ja8tyWcXEbecMO2PuZdHzOZX3LCg88xGfoIIgQhDAgObqFUFScKFyirYnFGBwICWs4WUFqfZBFkPQEa+HhjlD0gmI6Z0csDT2MCp1UU3SywR5FA5s+IEGnEo1yXOpLmrLv7f5LJFlVR0IP9R1SWufiE1G3IhzERW7LyobMpXPEL6XLccqeJzRO7/UYOtCU0UdCG2HPxMlMAuCOEK9k5iQcaObg4Wkf2a2ov9kNdEHCV6AByoGJhCuWiuSJlDu4XLx3OGvuUsmOJEjKDn3Og7cdxBM+0b7DqWjmHcfXkNywCKKfwijHD/Y++Arwmen6oH4jeK0B+IoJXVNYK48luo/jhEeEnkOTHNKa5x8IIr6g0HNBOXFqAquY2t4o82i+7AG2WnDGg58f2Afp7B3nYo9aCq/sx/stakCWeIHQHPIbAeMIv9C6kYPVM8xW05FquZP8AAQF8/k5F3kEnHERutuGCrgU3qHKsHmMs2GQuLjt0JXmG86+5ZyuJwrw4uViNwuQ8MSiPEE1euZgJ+wvmLQHHUxeczS58R8CychPKoxhVUWg6HEzLScAggbtkFvE6+IpiAShTF8ZpeOrNWc9e6y3iLVdRoiQ3QvpizHQrVFeA+6OfHde6isg48KjJfVnmdRopj/KHovuX8qufULy4F4/8C/lu7cUdSP7DXPqyCS4FDCukXowQ5TDYmxn7zy2n/tgYES29sD+jT5fP+xoAFPwgfw14HzA0w7EDQ9+IS4dogzb4RBfcUMa0cXCtGLzDHP7KALxcfH8iLXGRQHuItZcEsa3uU4acEuXkROfUZj+xv3EW683BXpBBQhXdcwlhS7H2QYtR/wDlLLXmW6X9hmOdKAJ/2XO21VxkDodS3PkhJoO4sMBkZH3o2O8PTzE0O2iAV8cRvoCvoFS/dS9qJLh/6S6hiRV63FrEMaVGw65lPcs8Is9wQOz1DGsvUN4bCwo88y9xNHjBglYAAg/GTNmx/wAhVwChqDQChyCvG2Q0KBJgDqICHQuoJF1PkjYsoVOeZwNpOFk3G1JZCsKfDH/QLYyFO+4H2+ZyJ/ZeIusZfEU0ncBr9rtlm+tlIfgtbL9vZq1BlhXQnSpX6xF4rM6juJPjdc2GCGmJqkVf1h7moJOAl0QLLib/AO46nyHtCMahaO/uMom31MJnUYBpWjA6P79Sxc1ws6nVUOz7J+raCcdPiNETviLdJ/Z5XEP/AHFF+0S96lSbDFxOvc1HZ3KLIFWfJKWnGQi/XEO1OZWmvv8A8QopsN9nKgiLpx5g4qacrLh/2CqmPUF1+stW9HiCjeVeRxxzYtJTyikJfcPMXNLnN3R6hJVwe4lEB7UyTEk+LPmh3YDb2KVCrYQMG0asrxG2IUV2Gw4WroTr+xAVWlauC7T+8YTxPcbIWzFOK5TgjjZ3/wCocIFubeiIEDTpHU0gjzJQTjBnezqTtwPuU7kBhLcQ8QGVy2CAomOWBHqRRUQdv/kKsyVSEWUOzdn+R/h477H5d5CLOF9K9IDFKGZfaCkOHkJRfBTZUyNcztIlmvyXX7Iey6yaBg5Uo49EUrQibb1sYKPcseyt1/U6YbEU0SivxLsq74jzW+45Va5c7aOclkwnW2rCFUjV6SwedJn3XJo9y6UUduw1al8RcGnmoL6iWyNihLWeONHFXmP8S0Hp+mFt76cxailt0Dklpos+ciOVQwREUcRRrVpb3LqVvFxWSUhPG+5xygl66gLvWxko1+dJAFOcONiP6bwmmBdtfsfl7eYm0A8TKenU7mPSYQN9Zm9WJSWhdO2P0U7JdPCqXQp+IqQY68ItUUrmG4sgsPNudgjjdF+CVsVRlp9+Z4hRKaIcwE9klFTm3LfQBvl/9Rilw7TzDp6ZBWBLq+QSZF2xx8nBBT1wrGItOx1qIvq8x9Cl2LHoub5iBuKl3L/4dwrWmpTW/ZHw/MaW9Gz9QR9LiQTj7i4ibOBjDgump0E/p6YrHrZtHUyVX3KpxUB/+yzTohCD6HxCyrseJjUaj5gKMr4nVO2VhsXPOO5Y3+rlAs8kqCQUv1FqWpb0fmbMJXbEJSvpl4E+IW/adwy6elbHEyi7NXIdGo7nMVqqHhBUXl8Ty4dqj142SgBdfqWxtQiaeYwiK8PFq2eiwE8cnQR3vklDjT3GfzDrzGsj4CGiCDbq/EBOG9Mn/wCxPqQBUJ5h8vcbcqOQLsoYZEzrU+j6hzzWY39wF06XEacAAt6+IkfO7gk3dV2EPuW10hGsg7F+ZUEXaFw6OFb6gjgDvrlR59Rs2DggZQgIUU3z8Rp1tCHYGDQs1mxkTVRTfE6OYIV4uOVMK1AtwcdjKsWoSXETepxi3zLLqn35nEYIqMCrhW9RbD26jCnU5YAf6MIIV+5mm2bNz/UFcXVbO9eoo4ZkRjKwOkELBechXHoh6oGCQs4h1qYiDfI7gO2IIUTkOYd7gybyp1E3bnS18R4zi7AFfcQkpb/jEdUyMBfbFQZ0Fx4UanBYLtufmJ6b5HoepXu3M+5Qljy36jmURoOIFa/ScdVzbigshfR8MuTIlViMSFvZhYOU0Sp03JVr7g/ZKXr9jF8Tn/HbIIoBgCj8i63fLCDwTNj2VVqL6ovBN9FtJsQyuFEFJIl4E0b7lC5Qip6QoODgQqoUUBsUZtoGzPmNQLIP7maLpa8w1GcH4SuwtpawW0X4nYxHxGh1zAK8v2Q1ld8y+tsB+5wT2gfMIlJrm9gKGV5UwZe+IJeR4lj8GDOWueJyGsZoPwgCKfyICg3zUAInZaqyN0EpXmNHiEghb3UcCtjlvEGcTp2BQQOgVLHYOM9ZGrgafE9nMQtnnxBbnHki6sfqNwEGK2EdkJiHyzjBXxLurb5ZWW7R3BeDztMIAWX1DlFfTKAOj0x67DggoGEECqG6XdQJRD4jVr7YUh1S0t75I3Tt8k9ODJXqvg11U0Y73GkuGXHsNTuAxkTaIXkkSnDuPGURMWxSzLy3sSl8ojxFh14etiHKBXouSNVvU9ygp4LW+ZVs2w04gxlmH+ozInY36ZaJT6zr/sQ4KShTqPMuFvG6jOjNKGoIMvJywicQr2DvLGT7xkPybYBrPpPUZLuz96Zq1bBwPcaQBVeTANADTBaW+CExZj3hxGskBdeP9hEiGwGxmEtXhaIO76KzlxBnnwdoZi3aYrtH6hvDa3NjXe37AmFeI5W/sqN+IURUzpfsiqwzgjkQjiyVASeXUHHD4gJZv1CpW2bjUsILxVEQGepW8twH29J3NDjJZqD0kTKNFXURDd8wjGHmBDFYuoEWiXIDkjgp/kKAHiH1GSj2cFrDjYx9hTLOZPmUIdhIse09u6hFbjLwJekUvuUB74nlB4hY7uPYO7bqKNBRlArYp1tgug2VWre3CEiBxUIhh1L0z7YtErAIzLBzkDAJ5qDN6+JYq+eyUq69TqHXgGYOYkqUdfCc3BdunUU9pbLCLG62mow4gU34lEAKbI72jKXz/wBJL2t43UC10XzEpQ+YjRIm0x6JV6QapRyDEPbH7OYob92Fyqm/bLKVbLlZf1KAhu/U7ZjACzIsJYsN4OIl4sWi3ayNKgTnAwVTC9gD26Kje5HiAbcAy6cPictrdSl3X1HE8BATYINJu1XBeDzUMiP5AQR3AEPOWxqmhsRcax1vhE+n1HuuOLn1RTu/mEL78wGOXdlIrdeWMxN8wEuXxFe89TN4/EPA+Y4hSvMTs2nEQxsOpT6Q1ZxkEOezNc3zFylzI6LKbQ1HFx7pR4vFoq05fuLUQ7p5MscPOsYaNHBqXRLuONsRMktzx6lkJwct1xLjgB9eZTWQF/8AMR3V2jTXmGdLqej7MZBQCm3xN+KKF/sUUAliiy+Jgwhel/8AuF1AC8/kh5diz9lwOENp5PiHd6OAx0ilRdS8Tb5xb4gTsWw6Y5v26jUUXHoVLm33LJCCE4TbiTUgJ7Uc/srSNm7WWEQ0ngjvlkCrfMMvV9y8pWws+ZYrm5clF9VBAFnUuUH5FpJdzJJFAXqiW92E8stlQEBjhOGpY22hk6yoixem0YlFuhrqLShxMmR7anQQ4BEw2CNY8ARbXdzYVHPxEY2zS5iQhDgdpY1WgdR0TXiGrO4IKc5uDGhQxXr6hJcsTIEgGCWJUEWvFEblg4t4VZTsHQP9lYYOdACZ7gqiPxBaVqK7L/Sz7jAmCps+Za6bqsIhowjR1kBu2o4leUFtKuZ+W+e04seiVEbfJLMIT1FuqG6Cti2hvpgxoRqPMsgOJUzjQsRq1lbnI5GD1K+AE4gwBfU1EldjiiU3YgIyvjYbihkdQMAEcAJ3s1GyluXSoQL37gxL72NmuV9TIh3M/iGot8x7BMhiWbz5ILUsO5QFs9S4BzsZyIt8wVQUy4VHzcZlfmG2ld1BaMvuArF/cGO5xCpRXu4ODL9TGGhYQgsizKVMqQoTGQUnLqFs4bFNu24Shwnn/wBmeMSOmjLiKuucgh387zLyFNRQAxUWLDix2vyS5qHSIifMvgGriXTBqGnkaRgcU5geAKOuqmmX6RKvmyx3vqGC+VFolepYMU25SUOIWoHlUDaJbVLY21koqtm8bFnadxBs5fnmGCWQlPEuwm+Jbb/+RPWdpBkyk4K9RbbgBeERqBb+WUFwA8lP/mXlWrlUVSlA58TlI7CueDyb2XjZUcktlC1TnUySCs5bMhQ58wScRZMVosXTqAjWr+4UDyLO4R0BqncvDtvC4o9BVLxHpE2zz5gQEPUKWHFuOxez3HA11KgEsNl9BnUrrXcCBd8EN1u/BLIXVxCEBhiyxEKbkMo881FlLY9SslG+p6D9Ri6fkY0aYsNqPA1Ay+pyw2DJeKjhKovIttom4J2R0U01hmXScbHYxU2gSquECW8bKut3qYw4iZRfuI0hGm+YR8R1uWbBUgPqxy1xyu4AJNB1nekW+C0eK2HWQrYJy/yC7Gm+n1GysUnf2EdInYWOrPIpio2t5TGJEM/TqC6s++pbsu9JbgPlh6q5iLH4CMANJmAu0uIEuXgIXPIxBq15IvGROWVwEffMNBq1YlHLzBVGbuDJLBdKaIl3ZK2jQhFYbbQHM5PiBr1GkwNa3BIXNYkTgC1BgZIeXxA6C66lGv4Szl9lzgA57Ihxv4j1gW8QBurgTRQ5ZKHcIWK3ByDzsrQQ+YaJw9wAPBh4HDzLYP71/wCIB9oXINH6g1OmJG03zGXmzggEL/kMcuPM0AuKW9xJdPc7VvvZw1/Zbi8iTHygJzWSgL1Iz6T3JhgOfcsYprm4TQSIKp9RUoNPMDnC4gkbN9xTtIqos2kD8QgxCiojZfPMLbXHTr4hA0vmOjklSr2+52jA8R8Xubn5hZAY8J+xC27EaXmayP8ABYopoEUeiX6MSFG9IUc681vniPj0ATU+oSiFbhI+a8i5A8QU440mXBCG3KqKl9zCC13xGRksyfVQwsdIAt6psPxHu1tUheEOVcLUvzUv3C/ZYmpbDM/uMCkaquq6jK1QNefiL7O6HmGybmrzK9Y2ErO9uoUTDs5JS2i72OJw2yFYJ9MYrXlXxCqjb1EE35gXaE5Dd8zr78kSgCzmWTTYXxUVzL9VPfzCsAusZTQ/JT6Mdsl9wga7yQOdAeQ2ACBp3Kg3UxxU227IyYW48w7t8JHQdDJenl5hEG93NGNaNRWI/JO0p8Ev0FIeG5CowpMISgDdjTfuAjBZts7oui4FvAo1Q+nmDyMV6O/ct5oQsNNjl674gFB4u0iVMeyyB3Q5eYKQb3BB9HmK4HnmdeQYHE8LH6hOXXqUaqpFqBIwDfG7JaAN6iLjK8RGwQeKjGCZzCmOA73FNgg1h7iFtp1cSiWcUpJChSX/AGNr47tG5BqWwYOH0V8Q7UNK5Lj4DT5MwBXV2IOKXTww6KF85EQ/LZS6PUTlueQ/IRAr4nN+0uJc5IiBL7IB4LYeoPQUDKgNmItjnDA3fPqAFJmATlm4yBQf5OVUod71KXa73GMvic9BVSyl/J1m9VG4viUrKyo1aAXDYOndy3RYdEMu3HLNw57IbDz0qCKbfyWUU9dQmg3cu0w0iFaFcRBRfm4uAVeJdf1xoLb2Jwa4jOA2nH3BMbPAR1NeK9EqzH3EFD3KD/qbLoeogLD6hFeqRTXSojhuNc+kOlLR0EfchYcsZWFui66iFgrKGMvMnLuRi41TYvL3/wAgE0wePdwJxESgW7/ZeaQroNPcAU7dC/cC3IEtVmxR8Gqqp3dtW8tgn3sJuV7ilb6I4jHjav6gPS2rTV7HggKdD9c3BDN2cfGXl755gmR6C8eolcAoQV5OwtSXQCzeM69vuZSrkbHVjfnjIBrdlzei4b79JXIomZCrAGKV3ZKwIqs/YwFs44jWjzDcT9RFbPqXYNPdwUBWchBKsD4mI4qBY2NyYCtRIDReE48uu4wX/IpcNaSNYBXiMlZxUppa7plfu1AKX3smJKTYqw31ksv/AKyrLfJDD+hDcnWO7txURd/FS6F5JYqs5SJmjZZEvmDpX7Iy1R8Eu0r8lROuKyXBq9DNk8wTtfqDDkuRQWbsfQ54hWWlVLv5mVSq3ouLK/dSp/4i69R33BYpcwCrEyI67q6mut9xXBfzN+96nOjcHMBUQeM4hSs9UyiBK7IZPx2QgaHjzK4FHKZgFhCwh3Dw5vMXo3AMc6x+yxHxOpfKjA1zArrXCQ1FpedR9FMLULAgeJaF7vq4ytPkg1FuoRK0HUoE3zcpI7dwLj9E4DL9wUKcdIKyuXuYWruHg6lChzKvbv1Lrs5CaC6+YjV92QF3ldjAJUTupwO3lwjftdyraG04JfG/Uqj06gSFQik3fE4l/mI6HYodThrXcgatKgFpqlQqlKYE2+GEWm8phB70jFOnmNBdV3N5FDDQiuBlhrywFw4f143GwI0lj8wQEhCmGyoI6Aa62BSHPDMjL3l9AeY9osnyt2UzolbmHTcC2jqMABaSj+Rp1WgVPcp8SKSV5/kXepPBByBqo4rYZie1bBL6mzJvgTa5CDS6OHu5nEiALl97dXDCqWO5dXxt6jyKAQH5ipAqb74j19Ysay4ZWWnDLxNNRJpsCm0Gh9jO1XD1KoYp7Jl0XDIQGtXcbKjkIMuEUquSoPochINvEQ0G+mbChfqEuwg6QKXfgi0zKeIvSosDrnZcYVXiKo79HEcgs+YNpmcStW8WhK9X5lxRBzniOtBlnu+pzGB4ggv0jc114nf3/wAY/wAMkJOnbDje+qnYLvIPEbwkbAGqCp2bzUWjqtl3s+iG0EbqZZlKmASiFBrEsOQxHXNSlvTlJY+F5N5wxL403xDJpviCha5VRdPduT3IQaLVQCG2PUAtYe5bRq6GO6N5qMuiYf6QLCfiXVgrS49dkvzLhdZW45aJNiHmp0Dty51HlGxG/ENi1/M68XxGGqurgNyLAIOCuuLiB0Gxp5fd8zmSF4y8cumXsj5hEOPU5E7x9RR6I8sYrbt5IO6+PMtBz7hLSCpXwv2Ga39ETaZl5nVS2JHuCnl8S4NcOKlVsmHU5J/JW8D1AtOQ6udUq+AgNLM7YP8A+YWxRr1CWlX4hYi7Ab7il+1y/t3qN9elJbP8JOe+aXh/9kW5dXqMr2uZHe6Bc7as6gqsq7huBsiNaDeSWiFe2E1XHn/3CGwWwseKie0ttv0ioChx+5UmYNDMd9zBtq1Qur6alS+qF37jeGcsZnMeIxQbcEuSznMBxSGzh6mqHhJJ4AarVr3DRK1cu3mDhttyr/yOiVBN3ztIkUNkL+zGFzOkBQvitT5jvWspLOv5ETso1couTWP/AHMxHRMBXodxo3B+I5KUEirpKKV2WFSnbg2yhIMLCcglpyumUgT4jC0F5splLWPUFPNFzCGe4KaGzKlhoV3crAN5gdA5RlTPmPixvcNMG7W+JYQ5lkEya7xCoG1AVQssKt4qGXZ0RVqnyxla/qFLumBayttIJTB2GyjynmALN3AdLMwMUSz6hiyvMXaxzEK9HrGVb4sqIaNAaMLRbo6lYR+yzfDiDbaKXT6MsFEO65iaBltp6jaCqDgDfcNF2cSs37YPDGBAQDm3ZgvJwWKuTdbFCxAqlbeMsBLXcAXFjkloF4uLR085HaPAIrdiAKciMtpb1BfY7JrbW2x2Kb4QQpvmLjZtQRG2yBxcStB+ptA52oXAfuIU49zjT+IaqFqlsasb7XuVXcVwQb9KIAl5bC1FuqbgXCvUahOa/GGXI8uAdOzzH0h5YOdk/wDCSSr77mHP9gC6U+4gKmeYJHVVxexmJfuaAXwzZAAeYgcWcxLpVUChXxEpC+pxsfMOoZzs3aOIKg2waBWTQM9SynDxNEr4U4mK6r7JzM+qiITnqoGlddEWXTROIrhbkBcd3bMX+PyBuNOMlQk75ib82xgifsIqf2CzfYCc/Qd/54hhC8vCS9NzJXxFlFnXm66h5WHFaFB+ZoF1i1DG7xH2HiPPKDvOf/2G6pshvSBi6udy7OdQrBtQRcjW0VUN8GwIQizRUD+INwXGI18FMtEhsW4CmtpXEKEBWIwLtkdb2EgdwPUIRBTAI6xarLhjeWxUrBkIeI1wbKcY6uLoarz7huYF2kJblX5lxSqwgPWHstC4ETA3YTEFbC+BXnmc4Y+w8xi5Yp4F1hfHNcRyg452a+l7OSxzPmBp57sSHscXKqc/VzSQnzGwbBuAIRdx6l5RBg2te7kbm9wARw9EDAOsZV/yNGIeSoGNfqWk992/EaELXLGXZar5ht1XyS7vVc2TC8vIQU0znJQKbeLIAeD3MA34luwPVSvdXzOYv9mgZbU17rmR3VPaM8iuSCmnZ1N5CB2y6RKPcRENruLgb1csRHyMChfbs5EA9SsB+yVkvSOsUDlEWtipzUbsb/7A+KniawsOiCLug6JZsF2XBqNIq4D7iAIttqM4r8S56epaW28FQ4YPU8HnDLmBOcgsPJFtY32y+Ao+IWOfKCOONuBtVNA9MBw1XUaDB4i7H7iDWkiZt52KUqOqKZmP1iJOfuAaUS+bj7FCHcAVDnISOV6ibBzzERam+Ygpu/M19+9jUE8xLFipA7xsEbrfxDSvCXA0XJo+DKgOojrN11L5Lfcbk5MyADf3FAFbxHLSOOIJhbxKs0UQuUrlJzzN4ZRfDb2KB08XFLiRngDSyjdRm5bQDpYQG67kSOKTFK/xA7Xhs8m+4gSIEaPqcZQBb1VUrdFQqgSwnDe23xAaIYPp4lDqA3T5llAWtUDBdvuDysLQGD5ghC80di6ql7k8ZNmrcLVyrMY/KkAa+RzIlQRYAvI7ig6Uq33FRBRVPMQHaShByDyyJEUYsjMXhCKBipuEsYEtatlxiK8GDgH1swBU1JnEK3zEFOHlKgHjzEIoJ2xiSkeGLpyepviioAqZ5hKhko3V8Q3DyvUsbmMG9OZQHf4giFssnZYSRArmXEjGs7n5yH1/kwTheNRe5sQLV/Jtq5ibG7uT6z3BxVZGWFbGpbPbAbNcQDbTAqW8ElQlfu0tAG3rKlNdFciBYCziE189QyCiCFi/EHAr/wAe5NHqN29+Ml51fZAsYeoXJPkhF0PJLJsr5ljX9SnoU52MCaZAdXLhoBJUEwt0tlVmoZsHmXJnWRZKa5EgNS6xSFmU7jgqmL7iXp+ERAb4hlK64qC6Bu9uawp4Muw4XQIix32QXRw3JeoJnZmDLTzzABo3xBTmb1LNWHqoKayGR0mm9GIibdFg3aeY9v6l2Cw8EvED8S2HPioWyR6uH1E7+cLLte5au6PiK228syC1LS0rmOOSbri+CIaMv3NFeOmGCMGLJuSoUX2XFCr5xUoy66I4cDOOIlb5cZHho5oqBG5fMctglHi33Krd/LEWTz1Kq3ewjfIuLjy1K2ijNgiW2+WAw6NrYaw9MEUR/ICrBDI86mzys1ha6H2LhovqRpZKDWFNbnMATuwlymLUYMT8wV7lmVzODmb/APbFtWZpTKdL32K9RiC9BBQ7AnWPbURObQ/7Aev+jYJoOZXGX6h7Yc59GI4f7FIBaQaDTyXxKQTDqOQAF4oca1m3VStKkcpk0IC6l5PMP2WiW3TmE6PyIVLFv8hBRXCLC2vUPK0vxEAr6qHGk6qCVI8EKFIHNS+A5OaPlnIizmXAg81C1XxAW5NRdFriyS+kdM5EF1z3KxApNYDC8YkR6h4vBsNhzYooee5zgS8+YII/k1h+k+KY6M4ZfWviAAneI34PqGNVKTIkpouDdLNJjUA4mDLjV5EtVbyYCNvNozkBQEUMS+Yc6l+IqpaUuVtSowQ2JLQXGWP5C48+xlhKt9MctHO1FC0N8PE2IDZbCGu3FeZRj5HpKODeLBbGhsC7nqMqOeYqsclQaVVqZwlOZAGPBxGBmmLYFLsyg9RkLSSgEb+4FBbeoHSPGSoxZ1cODbDxF4vtjmdnCRAnGzySVFIRXtGdUbxAhC7jW+pjAPuZcDJdXXUB3XUZRfyVChO4qzCeI7AQ5QjmjnOy6e5dUL5ioo56lpvfrxFFsPUuinm4AXq+KhHSjzcQlBuVVAV6lJrX3FLR+NmN2yLSPHJCyC13C9BTAxOdKlLhRzUsAGuyCIP9je8Td33E2a/+Ob5/7P8ANCb9H+RQUW7BUviJyyN7cyv/AK5TBZFNoRE6iTODNMjaHIcoPuoWhBqAUCLBQKsjj+CDC+gYHF1GCOJo8QGrEvgYEfDdHEorWlJN8iDSyPdWlYK4+CORf7LVWieZV5cRll5N/wDHamEhl6+YnVaNZ/VK1HfMqAGvUznxG0+n/Jz/ADOKuf8As6vPOQLz1LY9B1F+F6gaAM8RChWM4/lhEWTBHmePl/k/xZyTl9/+AGE5fqf1QFWoQqT/AEnf1/44fmcHzP8ASA6dwl86nX1OHznD6n8USMeSCM6zCGKpFwV5EUSWuyW0OYujjuA2Iwh7idEU5EPJAOs9L/xH9kIlSf4f8n+n/iApnaFwuWVREqAbDslIMHi4GH+5ees7jV0+5u1zuEoTuGQ3XMBeOpUZ1OWP4GcjMYnM+Zwz/WAxXU9UqN2nKCrVnF+JzfmcMJSnAf5C19H/AGama/7OPwlZ6P8AkVh48RzVZw7HFkI49z/afyT+c/8AEBd9x4hhfucm/EVvsaCj1HbUTfZQb1/4mlchc7qDTk5yBoCgwqJZHE//2Q=='"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base64_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def detect_tree(image_path):\n",
    "    \"\"\"Sends the image to GPT-4V via LiteLLM to check for trees\"\"\"\n",
    "    image_base64 = encode_image(image_path)\n",
    "\n",
    "    response = litellm.completion(\n",
    "        model=\"gemini\",  # Ensure GPT-4V is supported\n",
    "        messages=[\n",
    "            {\"role\": \"system\", \"content\": \"You are an AI that detects objects in images.\"},\n",
    "            {\"role\": \"user\", \"content\": [\n",
    "                {\"type\": \"text\", \"text\": \"Does this image contain trees?\"},\n",
    "                {\"type\": \"image_url\", \"image_url\": f\"data:image/jpeg;base64,{image_base64}\"}\n",
    "            ]}\n",
    "        ],\n",
    "        api_key=\"sk-1234\",\n",
    "        api_base=\"https://llm.vdaily.app\"\n",
    "    )\n",
    "\n",
    "    return response['choices'][0]['message']['content']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "BadRequestError",
     "evalue": "litellm.BadRequestError: GetLLMProvider Exception - list index out of range\n\noriginal model: gemini",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py:157\u001b[0m, in \u001b[0;36mget_llm_provider\u001b[0;34m(model, custom_llm_provider, api_base, api_key, litellm_params)\u001b[0m\n\u001b[1;32m    156\u001b[0m custom_llm_provider \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m1\u001b[39m)[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 157\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[1;32m    158\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m api_base \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(api_base, \u001b[38;5;28mstr\u001b[39m):\n",
      "\u001b[0;31mIndexError\u001b[0m: list index out of range",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mBadRequestError\u001b[0m                           Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdetect_tree\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m../data/image.jpg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "Cell \u001b[0;32mIn[11], line 5\u001b[0m, in \u001b[0;36mdetect_tree\u001b[0;34m(image_path)\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Sends the image to GPT-4V via LiteLLM to check for trees\"\"\"\u001b[39;00m\n\u001b[1;32m      3\u001b[0m image_base64 \u001b[38;5;241m=\u001b[39m encode_image(image_path)\n\u001b[0;32m----> 5\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mlitellm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompletion\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgemini\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# Ensure GPT-4V is supported\u001b[39;49;00m\n\u001b[1;32m      7\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[43m        \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msystem\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mYou are an AI that detects objects in images.\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      9\u001b[0m \u001b[43m        \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43muser\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\n\u001b[1;32m     10\u001b[0m \u001b[43m            \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtype\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtext\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtext\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mDoes this image contain trees?\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     11\u001b[0m \u001b[43m            \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtype\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mimage_url\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mimage_url\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdata:image/jpeg;base64,\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43mimage_base64\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\n\u001b[1;32m     12\u001b[0m \u001b[43m        \u001b[49m\u001b[43m]\u001b[49m\u001b[43m}\u001b[49m\n\u001b[1;32m     13\u001b[0m \u001b[43m    \u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     14\u001b[0m \u001b[43m    \u001b[49m\u001b[43mapi_key\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msk-1234\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m     15\u001b[0m \u001b[43m    \u001b[49m\u001b[43mapi_base\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mhttps://llm.vdaily.app\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[1;32m     16\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m response[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mchoices\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;241m0\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmessage\u001b[39m\u001b[38;5;124m'\u001b[39m][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcontent\u001b[39m\u001b[38;5;124m'\u001b[39m]\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/utils.py:1190\u001b[0m, in \u001b[0;36mclient.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1186\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m logging_obj:\n\u001b[1;32m   1187\u001b[0m     logging_obj\u001b[38;5;241m.\u001b[39mfailure_handler(\n\u001b[1;32m   1188\u001b[0m         e, traceback_exception, start_time, end_time\n\u001b[1;32m   1189\u001b[0m     )  \u001b[38;5;66;03m# DO NOT MAKE THREADED - router retry fallback relies on this!\u001b[39;00m\n\u001b[0;32m-> 1190\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/utils.py:1068\u001b[0m, in \u001b[0;36mclient.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1066\u001b[0m         print_verbose(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError while checking max token limit: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mstr\u001b[39m(e)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m   1067\u001b[0m \u001b[38;5;66;03m# MODEL CALL\u001b[39;00m\n\u001b[0;32m-> 1068\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43moriginal_function\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1069\u001b[0m end_time \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mdatetime\u001b[38;5;241m.\u001b[39mnow()\n\u001b[1;32m   1070\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstream\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m kwargs \u001b[38;5;129;01mand\u001b[39;00m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstream\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/main.py:3085\u001b[0m, in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, prediction, audio, presence_penalty, frequency_penalty, logit_bias, user, reasoning_effort, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   3082\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m response\n\u001b[1;32m   3083\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m   3084\u001b[0m     \u001b[38;5;66;03m## Map to OpenAI Exception\u001b[39;00m\n\u001b[0;32m-> 3085\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m exception_type(\n\u001b[1;32m   3086\u001b[0m         model\u001b[38;5;241m=\u001b[39mmodel,\n\u001b[1;32m   3087\u001b[0m         custom_llm_provider\u001b[38;5;241m=\u001b[39mcustom_llm_provider,\n\u001b[1;32m   3088\u001b[0m         original_exception\u001b[38;5;241m=\u001b[39me,\n\u001b[1;32m   3089\u001b[0m         completion_kwargs\u001b[38;5;241m=\u001b[39margs,\n\u001b[1;32m   3090\u001b[0m         extra_kwargs\u001b[38;5;241m=\u001b[39mkwargs,\n\u001b[1;32m   3091\u001b[0m     )\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/main.py:980\u001b[0m, in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, prediction, audio, presence_penalty, frequency_penalty, logit_bias, user, reasoning_effort, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m    978\u001b[0m     model \u001b[38;5;241m=\u001b[39m deployment_id\n\u001b[1;32m    979\u001b[0m     custom_llm_provider \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mazure\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m--> 980\u001b[0m model, custom_llm_provider, dynamic_api_key, api_base \u001b[38;5;241m=\u001b[39m \u001b[43mget_llm_provider\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    981\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    982\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcustom_llm_provider\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcustom_llm_provider\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    983\u001b[0m \u001b[43m    \u001b[49m\u001b[43mapi_base\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mapi_base\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    984\u001b[0m \u001b[43m    \u001b[49m\u001b[43mapi_key\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mapi_key\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    985\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    987\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m    988\u001b[0m     provider_specific_header \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    989\u001b[0m     \u001b[38;5;129;01mand\u001b[39;00m provider_specific_header[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcustom_llm_provider\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m==\u001b[39m custom_llm_provider\n\u001b[1;32m    990\u001b[0m ):\n\u001b[1;32m    991\u001b[0m     headers\u001b[38;5;241m.\u001b[39mupdate(provider_specific_header[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mextra_headers\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py:361\u001b[0m, in \u001b[0;36mget_llm_provider\u001b[0;34m(model, custom_llm_provider, api_base, api_key, litellm_params)\u001b[0m\n\u001b[1;32m    357\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    358\u001b[0m     error_str \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    359\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGetLLMProvider Exception - \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mstr\u001b[39m(e)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124moriginal model: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    360\u001b[0m     )\n\u001b[0;32m--> 361\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m litellm\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mBadRequestError(  \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m    362\u001b[0m         message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGetLLMProvider Exception - \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mstr\u001b[39m(e)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124moriginal model: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    363\u001b[0m         model\u001b[38;5;241m=\u001b[39mmodel,\n\u001b[1;32m    364\u001b[0m         response\u001b[38;5;241m=\u001b[39mhttpx\u001b[38;5;241m.\u001b[39mResponse(\n\u001b[1;32m    365\u001b[0m             status_code\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m400\u001b[39m,\n\u001b[1;32m    366\u001b[0m             content\u001b[38;5;241m=\u001b[39merror_str,\n\u001b[1;32m    367\u001b[0m             request\u001b[38;5;241m=\u001b[39mhttpx\u001b[38;5;241m.\u001b[39mRequest(method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompletion\u001b[39m\u001b[38;5;124m\"\u001b[39m, url\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://github.com/BerriAI/litellm\u001b[39m\u001b[38;5;124m\"\u001b[39m),  \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m    368\u001b[0m         ),\n\u001b[1;32m    369\u001b[0m         llm_provider\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    370\u001b[0m     )\n",
      "\u001b[0;31mBadRequestError\u001b[0m: litellm.BadRequestError: GetLLMProvider Exception - list index out of range\n\noriginal model: gemini"
     ]
    }
   ],
   "source": [
    "detect_tree(\"../data/image.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"LITELLM_DEBUG\"] = \"True\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "BadRequestError",
     "evalue": "litellm.BadRequestError: GetLLMProvider Exception - list index out of range\n\noriginal model: gemini",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py:157\u001b[0m, in \u001b[0;36mget_llm_provider\u001b[0;34m(model, custom_llm_provider, api_base, api_key, litellm_params)\u001b[0m\n\u001b[1;32m    156\u001b[0m custom_llm_provider \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m1\u001b[39m)[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 157\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msplit\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[1;32m    158\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m api_base \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(api_base, \u001b[38;5;28mstr\u001b[39m):\n",
      "\u001b[0;31mIndexError\u001b[0m: list index out of range",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mBadRequestError\u001b[0m                           Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[17], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mlitellm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompletion\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgemini\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# Ensure GPT-4V is supported\u001b[39;49;00m\n\u001b[1;32m      3\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43muser\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mHello, LiteLLM!\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      4\u001b[0m \u001b[43m        \u001b[49m\u001b[43mapi_key\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msk-1234\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m        \u001b[49m\u001b[43mapi_base\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mhttps://llm.vdaily.app\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[1;32m      6\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/utils.py:1190\u001b[0m, in \u001b[0;36mclient.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1186\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m logging_obj:\n\u001b[1;32m   1187\u001b[0m     logging_obj\u001b[38;5;241m.\u001b[39mfailure_handler(\n\u001b[1;32m   1188\u001b[0m         e, traceback_exception, start_time, end_time\n\u001b[1;32m   1189\u001b[0m     )  \u001b[38;5;66;03m# DO NOT MAKE THREADED - router retry fallback relies on this!\u001b[39;00m\n\u001b[0;32m-> 1190\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/utils.py:1068\u001b[0m, in \u001b[0;36mclient.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   1066\u001b[0m         print_verbose(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError while checking max token limit: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mstr\u001b[39m(e)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m   1067\u001b[0m \u001b[38;5;66;03m# MODEL CALL\u001b[39;00m\n\u001b[0;32m-> 1068\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43moriginal_function\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1069\u001b[0m end_time \u001b[38;5;241m=\u001b[39m datetime\u001b[38;5;241m.\u001b[39mdatetime\u001b[38;5;241m.\u001b[39mnow()\n\u001b[1;32m   1070\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstream\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m kwargs \u001b[38;5;129;01mand\u001b[39;00m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstream\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/main.py:3085\u001b[0m, in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, prediction, audio, presence_penalty, frequency_penalty, logit_bias, user, reasoning_effort, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m   3082\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m response\n\u001b[1;32m   3083\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m   3084\u001b[0m     \u001b[38;5;66;03m## Map to OpenAI Exception\u001b[39;00m\n\u001b[0;32m-> 3085\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m exception_type(\n\u001b[1;32m   3086\u001b[0m         model\u001b[38;5;241m=\u001b[39mmodel,\n\u001b[1;32m   3087\u001b[0m         custom_llm_provider\u001b[38;5;241m=\u001b[39mcustom_llm_provider,\n\u001b[1;32m   3088\u001b[0m         original_exception\u001b[38;5;241m=\u001b[39me,\n\u001b[1;32m   3089\u001b[0m         completion_kwargs\u001b[38;5;241m=\u001b[39margs,\n\u001b[1;32m   3090\u001b[0m         extra_kwargs\u001b[38;5;241m=\u001b[39mkwargs,\n\u001b[1;32m   3091\u001b[0m     )\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/main.py:980\u001b[0m, in \u001b[0;36mcompletion\u001b[0;34m(model, messages, timeout, temperature, top_p, n, stream, stream_options, stop, max_completion_tokens, max_tokens, modalities, prediction, audio, presence_penalty, frequency_penalty, logit_bias, user, reasoning_effort, response_format, seed, tools, tool_choice, logprobs, top_logprobs, parallel_tool_calls, deployment_id, extra_headers, functions, function_call, base_url, api_version, api_key, model_list, **kwargs)\u001b[0m\n\u001b[1;32m    978\u001b[0m     model \u001b[38;5;241m=\u001b[39m deployment_id\n\u001b[1;32m    979\u001b[0m     custom_llm_provider \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mazure\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m--> 980\u001b[0m model, custom_llm_provider, dynamic_api_key, api_base \u001b[38;5;241m=\u001b[39m \u001b[43mget_llm_provider\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    981\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    982\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcustom_llm_provider\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcustom_llm_provider\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    983\u001b[0m \u001b[43m    \u001b[49m\u001b[43mapi_base\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mapi_base\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    984\u001b[0m \u001b[43m    \u001b[49m\u001b[43mapi_key\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mapi_key\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    985\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    987\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m    988\u001b[0m     provider_specific_header \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    989\u001b[0m     \u001b[38;5;129;01mand\u001b[39;00m provider_specific_header[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcustom_llm_provider\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m==\u001b[39m custom_llm_provider\n\u001b[1;32m    990\u001b[0m ):\n\u001b[1;32m    991\u001b[0m     headers\u001b[38;5;241m.\u001b[39mupdate(provider_specific_header[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mextra_headers\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n",
      "File \u001b[0;32m~/Projects/pnstack/llm-image/.venv/lib/python3.11/site-packages/litellm/litellm_core_utils/get_llm_provider_logic.py:361\u001b[0m, in \u001b[0;36mget_llm_provider\u001b[0;34m(model, custom_llm_provider, api_base, api_key, litellm_params)\u001b[0m\n\u001b[1;32m    357\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    358\u001b[0m     error_str \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    359\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGetLLMProvider Exception - \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mstr\u001b[39m(e)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124moriginal model: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    360\u001b[0m     )\n\u001b[0;32m--> 361\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m litellm\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mBadRequestError(  \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m    362\u001b[0m         message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGetLLMProvider Exception - \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mstr\u001b[39m(e)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124moriginal model: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    363\u001b[0m         model\u001b[38;5;241m=\u001b[39mmodel,\n\u001b[1;32m    364\u001b[0m         response\u001b[38;5;241m=\u001b[39mhttpx\u001b[38;5;241m.\u001b[39mResponse(\n\u001b[1;32m    365\u001b[0m             status_code\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m400\u001b[39m,\n\u001b[1;32m    366\u001b[0m             content\u001b[38;5;241m=\u001b[39merror_str,\n\u001b[1;32m    367\u001b[0m             request\u001b[38;5;241m=\u001b[39mhttpx\u001b[38;5;241m.\u001b[39mRequest(method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompletion\u001b[39m\u001b[38;5;124m\"\u001b[39m, url\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://github.com/BerriAI/litellm\u001b[39m\u001b[38;5;124m\"\u001b[39m),  \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m    368\u001b[0m         ),\n\u001b[1;32m    369\u001b[0m         llm_provider\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    370\u001b[0m     )\n",
      "\u001b[0;31mBadRequestError\u001b[0m: litellm.BadRequestError: GetLLMProvider Exception - list index out of range\n\noriginal model: gemini"
     ]
    }
   ],
   "source": [
    "response = litellm.completion(\n",
    "        model=\"gemini\",  # Ensure GPT-4V is supported\n",
    "        messages=[{\"role\": \"user\", \"content\": \"Hello, LiteLLM!\"}],\n",
    "        api_key=\"sk-1234\",\n",
    "        api_base=\"https://llm.vdaily.app\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A whisper of wind,\n",
      "Through leaves of deep green.\n",
      "Sunlight's soft kiss,\n",
      "Pure, gentle bliss.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import openai\n",
    "client = openai.OpenAI(\n",
    "    api_key=\"sk-1234\",\n",
    "    base_url=\"https://llm.vdaily.app\" # LiteLLM Proxy is OpenAI compatible, Read More: https://docs.litellm.ai/docs/proxy/user_keys\n",
    ")\n",
    "\n",
    "response = client.chat.completions.create(\n",
    "    model=\"gemini\", # model to send to the proxy\n",
    "    messages = [\n",
    "        {\n",
    "            \"role\": \"user\",\n",
    "            \"content\": \"this is a test request, write a short poem\"\n",
    "        }\n",
    "    ]\n",
    ")\n",
    "\n",
    "print(response.choices[0].message.content)"
   ]
  }
 ],
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