organiser.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Python Task Optimisation and Interoperability - Subprocess Module\n",
    "\n",
    "by Carlos Rodrigues\n",
    "\n",
    "_@carlosmr12_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Definition\n",
    "\n",
    "\"The __subprocess__ module allows you to __spawn new processes__, connect to their __input/output/error pipes__, and obtain their __return codes__.\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Functions\n",
    "* ```subprocess.run()```:  Run the command described by args. Wait for command to complete, then return a CompletedProcess instance.[1](https://docs.python.org/3/library/subprocess.html#subprocess.run)\n",
    "* ```subprocess.check_output()```: Run command with arguments and return its output. [2](https://docs.python.org/3/library/subprocess.html#subprocess.check_output)\n",
    "* ```subprocess.peopen()```: Execute a child program in a new process. [3](https://docs.python.org/3/library/subprocess.html#subprocess.Popen)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Shell commands Recap\n",
    "\n",
    "* ```ls path_to_folder```: List information about files in a certain directory\n",
    "* ```du -sh path_to_folder```: Calculates size of a directory\n",
    "* ```find . ! -name 'file.txt' -type f -exec rm -f {} +```: Remove all files in current directory except for \"file.txt\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Task 1\n",
    "Remove all unnecessary files from a specific folder recursively except for structure (.pdb) and sequence (.fasta) files.\n",
    "\n",
    "Structure files are defined as:\n",
    "___[four-letter-code] _ chain _ [one-letter-code].pdb___ - 1u9a_chain_A.pdb\n",
    "\n",
    "Sequence files are defined as:\n",
    "___[four-letter-code] _ chain _ [one-letter-code].fasta___ - 1u9a_chain_A.fasta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "# IMPORT PACKAGES\n",
    "import os\n",
    "import subprocess\n",
    "\n",
    "# DEFINE CONSTANTS\n",
    "CURRENT_FOLDER = os.getcwd()\n",
    "DATA_FOLDER = os.path.join(CURRENT_FOLDER,\"data\")\n",
    "\n",
    "def organiser(folder):\n",
    "    # READS ORIGINAL SIZE OF THE DATA\n",
    "    original_size = subprocess.check_output(f\"du -sh {folder}\", shell=True)\n",
    "    original_size = original_size.decode('ascii')\n",
    "    # LIST ALL FOLDERS IN DATA folder\n",
    "    output_ls = subprocess.check_output(f\"ls {folder}\", shell=True)\n",
    "    # TRANSFORM TEXT OUTPUT FROM output_ls TO A PYTHON LIST\n",
    "    parsed_output_ls = [item.strip().decode('ascii') for item in output_ls.split()]\n",
    "    # REMOVE ALL FILES EXCEPT FOR FILES WITH THE FOLLOWING NAME PDBCODE_chain_CHAIN.fasta and PDBCODE_chain_CHAIN.pdb\n",
    "    for entry in parsed_output_ls:\n",
    "        pdb_code = entry.split(\"_\")[0]\n",
    "        chain = entry.split(\"_\")[1]    \n",
    "        subprocess.run(f\"find {folder}/{pdb_code}_{chain} ! \\\\( -name '{pdb_code}_chain_{chain}.fasta' -o -name '{pdb_code}_chain_{chain}.pdb' \\\\) -type f -exec rm -f {{}} +\", shell=True)\n",
    "    # READS SIZE OF folder AFTER REMOVING UNWANTED FILES\n",
    "    final_size = subprocess.check_output(f\"du -sh {folder}\", shell=True)\n",
    "    final_size = final_size.decode('ascii')\n",
    "   \n",
    "    print(f\"Before: {original_size}\")\n",
    "    print(f\"After: {final_size}\")\n",
    "    shrinking_percentage = round(100-(float(final_size.split(\"\\t\")[0][:-1])*100)/float(original_size.split(\"\\t\")[0][:-1]),3)\n",
    "    print(f\"Folder has now {shrinking_percentage}% less data\")\n",
    "    return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before: 128M\t/home/chmrodrigues/Documents/resbazapp/data\n",
      "\n",
      "After: 8.5M\t/home/chmrodrigues/Documents/resbazapp/data\n",
      "\n",
      "Total folder has now 93.359% less data\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "organiser(DATA_FOLDER)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Task 2\n",
    "Plot size of files to identify possibly the \"biggest protein\".\n",
    "\n",
    "[Seaborn](https://seaborn.pydata.org/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "# IMPORT PACKAGES\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "def plot_data_size(folder):\n",
    "    # LIST ALL FOLDERS IN DATA folder\n",
    "    output_ls = subprocess.check_output(f\"ls {folder}\", shell=True)\n",
    "    # TRANSFORM TEXT OUTPUT FROM output_ls TO A PYTHON LIST\n",
    "    parsed_output_ls = [item.strip().decode('ascii') for item in output_ls.split()]\n",
    "    \n",
    "    # POPULATE DICTIONARY WITH FOLDER NAME AND SIZE\n",
    "    folder_size_dict = dict()\n",
    "    for entry in parsed_output_ls:\n",
    "        pdb_code = entry.split(\"_\")[0]\n",
    "        chain = entry.split(\"_\")[1]\n",
    "    \n",
    "        pdb_file = os.path.join(folder,entry,f\"{pdb_code}_chain_{chain}.pdb\")\n",
    "        folder_size = subprocess.check_output(f\"ls -lh {pdb_file}\", shell=True)\n",
    "        folder_size_dict[entry] = float(folder_size.decode(\"ascii\").split()[4][:-1])\n",
    "    \n",
    "    # PLOT FILE SIZES\n",
    "    plt.figure(figsize=(9,7), dpi=300)\n",
    "    sns.barplot(x=list(folder_size_dict.keys()), y=list(folder_size_dict.values()))\n",
    "    # ROTATE LABELS ON AXIS X\n",
    "    plt.xticks(rotation=90)\n",
    "    return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
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     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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y6QlmS22hPcaTR5/LpA+Ipbtk5WPTVePvtPP2H2PMoc+jmU/4ZiIV9+lOvn1gYay5PF1xzAvTXQHpnQsxX5DkJ+Ze8/4kX7HN+399rvhJkC2fu6L8mhinWsljSutGH+sx6U4wvzy7PEHav37j7dCv4w9J8uJc8bLlizm8dzGHkeVycpIf3mJM2vGg5FhymIvly9NdIn6nrzycFXLcUx761ULc/3tu2RdnYNua5M45+isEDyd5zpLLee3ca15ywDl8z9x7/+0a/md/O7e871nRMm6X5JfTXUp+V+vEpvvUFnFMehuYhrZ/c7FMfsztY2niJGOS66ebE/3HLvK46shyaKIt5vJxUmszxxQmX/S7w7InU4DdSp9qJY/YFxnNvkiSn59b/mVJHjTw3K+by212e9GSy3nbXI6nrTCfOyb5tRw53rqrOcdY+lQrefSxTHLdWMhh0vO/tfyPNh2AW9u3NDI5ayWPPp5JTzBbagvtMZ48+nhaOCB2lyS/me7TQEvvvI0sh2Y+4ZsJVtwneeBCfO9L8pXb9LX3zD33zP73i3aKOcm9c2S8O5zkmSvOqYlxqpU8prhupPtu7l9M98nKncbW38sWJ0jH0A7pDiKdvmQO99rhvTY5Tn19khdk+6v8zR+U/K9Jbjq2HPrlXzPJ96Y76LbTOv3qLBRyyEO/Wlju/CXO/3SJ5//xQqzfuORyvn/uNe854ByeMffef7aG/9nz5pb39AN+71OTvHHJdeKx6b9uc0x9am75k98GppHtX7/8VsbcJk4y9nl8U5I/z9GFizvOXUeWw+TbYiEWJ7U2O+ZOvuh3i2VNsgC7lT7VQh6xLzKqfZF0x6Jmy37ZEs//84V4H7Hkcn587jX/fsA5nJTuil5vWbIdtp1zbLgtmsijX/7k141++ZOf/63rdlzggJVSSrqvl3hqkm9JV0BQ+j/X/lb62/uTPDfJn9Raz157sANayWOmlPLl6XJ5fLqJQXJ0PrNcPp3uKgXPrbW+pX/t/1pvtEdrrS0S7TEWfS4PTZfLN6U76btdLu9LdzLiqFy6t9icUsq10/Wjpyb5itnD/c/5HGqSv0vXHi+rtV683kiHlVJuly6H70xX7JQsuU6MTSnljulyeUK6oohkF7lsuE89bBZGussuf0Ot9WOLT6q1vrOU8uAk705yYpKbpMvtD2qtpw8toNb6plLKX6UbP2qSux5g/F3wjYxTreQxM8V1o5TyT0m+Zna3/7k4tr4mR8bWL647xl34bzkS97zJ5FBK+Wi6K/4l2/edF6XrO29ee4BLKqX8Sbois6tmeJ2e7XectYk4d9JQHh/N9PvVbed+/8slnv/X6fa5Zv5tyeW8q/9ZcmQcX4WTVvjeMyfO/X7MAb/3c3L0eDupdWKmoW3g5Ld/SVNj7s8neXK64ulkguNuKeXW6QrpnpTuqqvJNPOYfFvMlFKumeRx6eYas/nl0Lj1RxnncZHbputbT0x3dY5kuF3+aITHRWb//5ruKg/v2u6JtdZ/K6W8IEfvk7x0yeW8NN1XDCfdVQ8OXCnl69P1qYenu1L05MbeRvpUC3nYFxmX28/9/rIlnv/ydB8GnXnHksv5l/5nSXKDJV+zrI+n+9r42fsn02uHpJE8Wlk3Gpr/rYUCGw5UK5OzhvKY/ASzlbZItMeYtHBArJTyden60iOSnJCJ7ryVUk5Nl8c9Zw/1Pye181ZKOSldFf1Tk9xj9nD/c0q5zB8M+9Otimtmaq2nl1L+NMn3zT38yiWX8xfpCkaSoye2+9bQONVKHlNfN+4z9/v8//4DOVLQNLqxdQe1//mBdNuHP621nrnBeHbjFjm6z8x+vjZH9pvG0neGPGGLx0q6q4DNistGuU4vaCWPFvrVteZ+f98Sz198zvlLLue8ud+vueRrlvXZud+vv+2zDs71tln2QZqNtxeluzrEc2utb1rRslahtW3glLd/STtjbgsnGT+QKxbRjX2fdisttIWTWuPTRNFvCwXYrfSpVvLo2RcZh+vM/X5oiecvPufcJZcz/7yDnjtdPVecw34mRwrMptAOSTt5tLJutDb/WykFNhy0JiZnaSCPViaYaaAtEu0xQi0cEHtNtv9k7Ogn+nOa+IRvGqm4T3Krud9fs8TzX5OjC2yWmZgm3ZVvku5/c52hJ+5BK+NUK3m0sG7Mt8NfJ/mFCYytQ2bbutnt8s2Gsy+vTPL9I+47Q+b3O96Q7isKprBOL2olj3lT7FfzV3z59BLPv2j+zi7aa/55xy/5mmXN/t8lR5+cO3D9FeK+bItlH/ii0q0b70ry9znyKdYpaWkb2ML2r6Uxd+onGZMjOcxOPMz2aaeax1TbwkmtcWmh6DdpowC7lT7VSh6JfZGxmJ87fWqJ5184f6fW+oUll/P5ud+vsuRr9uqVSZ5Ua71wx2eO25TzaGHdSNqa/62UAhtWZeqTs5kp59HKBHNmym2RaI+xauGA2OJE/7lJ/nyiO2/JdD/h20rF/fyBqQ8u8fzF5ywzMU2SC+Z+v8aSr9mt1sapqebRyroxi/3BSY4rpfxRkpeP6SpzuzDrU7dN8gtJ/kcpZbb9GNWV8wbM2uObk9y2lPLcdOvGKL8ebcAsjzsn+dokH07y1o1GtDet5THFfjVfjHl4iecv85x1e+/c7yeXUu5Ra33bipZ1txz9aff3rGg5s/H2vv3tov6rMP54ZF9bsJNWtoEtbP+SdsbcFk4yznKYYmHmvBbawkmt8Wih6HcrU13PW+hTSVt5JPZFNm3+62EvW+L5yzxnU2Z96puTfGSic42krTymvG7MtDL/W6mD/p5pmFm8KsQUJ2fJ9POocz9fn+TxSW5Ua/2eCe6ETr0tEu0xRrM8Xpnk62qtz5rYievkyEGkVyX5mVrraRM8iJQcaYspf8J33iuTnFJrfdrE1u8T536/aNtnHfGZ+Tu11kuWXM7881ZV8N3aODX1PGamuG7Mt8GxSb4+yWlJPl5K+Z1Syj23feW4/GKSs3PkE3/pf85yel66nH63lHKvzYS4lMUrIX1Zkmcl+Vgp5VWllEeXUk7YWHS7V9MVN353kjeVUt5TSnl6KeWmO7xubKaeR2v9aorem+5E3GzO9LgVLuvxc79fVGs96AKbFyS5OFccb6+V5GlJ3lhKeW8p5RkTWEda2Aa2sv2bN/UxN7niScbZePuYCY238yeDPlpK+ZuJbi9aaIvkiie1vmKz4ezZ/Emtn51gn2qh6HfefAH2a/qx9iYbjmm3pt6nZqach30RDtoXs/NcYwrt0Uoe86a+brQw/1sLBTasSkuTs2TaebQ0wUym3RaJ9hibFg6IzXL4xnQ7nrOdtilO+JPu072zieUUd9oWK+6nmMPMMoUcdeenbExr41QreUxt3XhwuqvtXJIjBY3JBE+U1lp/OsmXpGuDl+fIp7AWc/ruJG8YaU5fluR/J/lErlgQsTjxH/PBye9N8s85+kBScnRhx0dLKa8e+breSh6t9KtJq7XWJH+VI/3pe0sptzjo5fTv+b05Urj61we9jFrr45LcOMkPJfnXHN2vkiNfg/ULGfc60sQ2sJHtX9LOmNvCScazcsV2ODbJN+ToExBjjX+mhbZY5KQWB6mFAuxW+tSk87AvwgrcKMn3J3l7tp9rTKE9WsmjlXWjifnf2tRa3dwO7JZuoDgj3Um5y9NVoc//fjjd10f8bpJ77fBe86+7hTx2ncN8rIu39yR5epKb7uK9tIX2aKk9FnM4vEUOv7NTDpvMI8mbtslhdv/SdFe1eUySE8aYQ7/s09J9J+1Qn3pvkmfstI5sOI9lclhqPR/BWLX0stMdIPjP1+xiOXt63ZLv3co41Uoerawb10nyw0neucTY++qtxt5Nxr9NTtdP8pNJDi2Z02NnOW06l3QHVR+W7uDkJQOxb7sN2XQOfQx3SPJrSc7d67ouD/1qL8vNCLff/fs/aKH//OPiWLrP9z8hyesW/l9fv4b2uUuS30py/m7XkZGsG01tAzPh7V8fw+TH3HQf+Hxokj9Pd7WnXY+3m8wjR66g8OJ0n7zeU/za4sByeFqSN+91fBpRHl+f7gpoX9hPnxpBHq3sk9wmR4rQ9jUn3+BY1UqfaiKPhTjsixinDjKfL0/y7CTn7aU9xtCnWslj6uvGXAxNzf9W9n/adABu7d3SwOSshTzSyASzhbbQHqNsjyYOiKWrgP7lJB9fiGNXE/4R9KlrJfmBdF8Lted1ZMNtcc0cqVbf13q+4TyamGS2ME61kkcr68ZCHHdLV4T5qYWYthp7fy/JPccU/zY53SvJH6T7arhlchpNLklumK5I67276WMjy+H4JI9MdyWNy5Zc128ytn7VSh5T7Fe7XW5Guv3ul/H2uf/14SSvSHL1A3jfqyV52UJb/sua+9UJ6b766jVzfWm7deQ9Sf7rCNeNpraBmfb2r4kxN9M/yXjdJD+W5N+XjP+ofd0x5NBQWzipNYI8drvsjHifpF/OZAuwW+lTreWxRV72RYxTB5XXVZI8uu//y7bHTcfUp1rJY6rrxja5NDX/O9D/zaYDcGv7lolPzlrII41MMFtoC+0xvvbo45j8AbEkxyV5RJJX9nHuasI/hhzmYpn0J3z7OCZbcb/bZWcCk8wWxqlW8pjyurFNPldN8p1J/mEuj+3G3veNLf5tcjoxyVOTvHGHfjaf75dtOu65+O+T5LlJPrtEHxtle6Q7MPTfk3xoyXVdHvpVFuJ4VJL77XB71EKs913iNVd43YpyuVe6g5Dz48wHktxvH+95vyTvX+iDlya59wb71SlJ/keS03dYR+b/Dzff9PowF39T28BMf/vXxJibCZ9k7OP/qiS/n+TTS8T/u32+o8qhhbaIk1obzWO3y84EjinMLXNSBdit9LEOn4kAACAASURBVKmW81jIyb7I+mKdX/a9ktxih9vXLLzm5ku85gqvW3OOt0jyzCQfWaI95vvU2NaLyecxpXVjhzyamv8dyP9k0wG4XXlumfDkrIU80tAEc+ptoT3G1x5zOUz+gFiSGyf56XQnInbaaXtVupPwo8qhz6OFT/hOruJ+t8vOhA6G9cud/DjVQh5TXDeWyOnW6b7W68wdxt7Zz8ckOWbTce+Q0+2S/EqueJW0wwu5fSHdVZYemQP8Kpd9xn5SuqsHvmXJ9vjJJCdvOu4t8vi6HP1VijsdYL3vpmNuPI/R9qstlr3M7fIt8tjNa1f5afGfWchp9vvbknx3klsv8R63TvJd6a6gtlV/e+am+1QfZ0nykCQvydZX1pz/eVaSX01y903HvcX/upltYCa8/evjn/yYm+mfZLx6kicn+acl4p/PYVT7t420hZNamzmmMItl0kW/O+Q5+gLsVvrUlSGPLfKyL7La+JqaO+2Qa0n3NWsvzPDXrM1+/kaSO2+6DzWcx6jXjV3k0dT8b6+30v8zYG1KKSemW6FOTXeCKElmHbFscb8muUOt9X1rC3IJU86jlHLTdHE/Ockt+4e3iv3yJH+fbuM1e+yWtdbT1xPpcqbcFon2yMjaI0lKKVdPN1k/Nd2kOdk+h9ljo2uPUsrXpjux8G3pLos/uRySpJRySrqDek9KcrP+4Z361Cm11jPWFOKOSim3SNefnpSuuCTZfj0/Jhtqj1LK5XNx/VS6K40MuV66SX/61z1lyUUd9bpa67G7iXO/WhinkjbymMq6saxSyjFJvjHd2PvQdAW1ixOuWQ7nJXlRkufXWt+0zjh3o5RyXLrLoj8l3UngY7P19iNJPpPu8umnJXlNrfXyNYa6pVLKHdO1x+PTjT3JFdsk6Yq9/i5d7C+vtX5+PRHurJRy7SRPSLeu3KV/eLt+9a4kz0vyglrrWWsLcgmt5JGMr18tbL/L0HPnLK7Hy6r981e6/S6l/G66gqbttmsXpivCvLC/Jd3Xjl473UmJ62zzupLkObXWp60m8r0rpVw33fbwKUnu2D+83Xj7wXT96vm11vevLcgBrW0DG9j+NTHmllJul65PPSHJDfqHt8rj4iR/k64NXllrvXhtQQ4opdwmXfzfmeRG/cOL++ezny9P8sdJ/rrWetmaQ91RA23xdeni/9Z0J+V3mjfdv9b6+rUGuYRSyq3THR95YpKb9A9vlcssj8cnedG6xqW5fZL5MXLHl839vtuTVSvfJxlceCknpftw2KnpPrSXDLfH05P8Ya31gnXGOWTsfWpZreQxz77IyuKaH6dWbS1zp2WUUk5Otz/ylCR37h/ebsx9T460x0fWEN7SWshjrOvGbrU2/9u1TVf4uF25b5l4NW4LeaSRqskW2kJ7jK89+hxuk+SXkpw90A6zny9NN/E5btNxL+RwzSTfl+5Tvzvl8NYkP5TkhpuOe4s8WviE76gr7rdYfrOf4pjLefLjVAt5jH3d2GNOy36t1+F0l7v9hSR32nTcO+S07FXSDvd98dmbjnku9t1cPfAz6fbHvjnj26Zv91WKi3lcluR16a72cZ1Nx91wHqPoV9uM+au8rWX7neSH052o3e1+x1bPuTzJJUl+dNP9Zsnct7uy5lZ96+1JfmzTMS/E39Q2MBPe/vXxT37MTfe1yN+Wrb8WeXH+cmG6K0t8Q0byadl0J0UfnuQV/Vg0NIad36//99903I22xbWT/GCSdwxsT2aPvSPJT2TuK7bHckv34YNvSvKydNvKoTw+keQ3s4avRtxmfNnptt02fJnXbfyYwlzud0zy60nOHehbh/v2+st0hTlX33TcY+9TV9Y8tsjLvsjBxdLk3GmX/4PtvmZtq/70piQ/kOT6m467xTzGtG7sM4+m5n/L3FzBhlGYejXuzJTzaKVqcmbKbZFoj4ysPZKklHJsuhMip6arzD0u21dHX5iu2Oa0Wuvr1hLgkkopX55uR+xxSU7uH94qj8vTXWL1tCQvrbV+Zj0RLmfqn/BNxllx3+In4JfVwjiVtJHHGNeN/Sql3CvdJzq+I93XzCTbf2r2UK31zhm5gaukJXM5jWH9XrSLqwcmyQW11uuvL7rllFJOSPLt6fJ4QI5etxdzuDTJq2utD19rkEtoJY9ks/2qlPLRbD9Orkyt9ZY7P2t/Silfne7Ex91ni93qaUv87V+S/HCt9c0HG+FqLXllzWSk423S3jZw4tu/JsbcUsqN0+0nPiXdJeqT7fP4ZJIX1lp/ZH0RDiul3DDdtuIpSW7bP7xd/GcneUG6uew71hXjshpoi7ukW58fmyNXPtsq/prkDenmHS+ptX5qnXHupJRy/Rw5PnL7/uHt2uH0HDk+8u4VxDJ/TGEdRnNMYaaUcny6grpT0xeXZfv2+Hy6YrXTkryqjuTqVWPqU/vRSh6L7IvsO4ZNHPsaa3tcNd0++qnpvn5vqD0uq7WesN4Il9NCHmNYNw5Ka/O/7SiwYXSmPjmbmXIerUwwZ6bcFon2yMjaI2njgFgp5SpJHpFup+2BGZ7wX5zuk9nPq7W+bJ1xLqOU8lXp1pFHJ7lG//B2ufxrujx+fX0R7qyUcrd0OTwm3dcbJNvn8NZ06/mLaq2fPOA4ZgfD1nGZ1JnRTTJbGKeSNvIYy7pxUHb4Wq9khAeId1JKuWa6y2ufmu7TQ8nICuiGDHxdQDKdHE7JEl+lKI/1aaFfjU0p5YFJfjzJ/dOdSFjGF9MVjP9arfW1KwptbQa+amYSfaq1bWAD279T0sCYO+WTjElSSrlPuvgfmeTq/cNbHu+ptR635vB2Zcpt4aTWgS7/ozm67ddiHUW/e9FIYX8TJ0pbyWOefREO0hJfszaJtmghj1bWjdbmf4sU2DBqU56czZtqHi1NMGem2haJ9lh3bMtq4YBYKeUWOTLhv0X/8FafjL18rDkkaeUTvhutuC+lvC7ZyMGwB6x7mctqYZxKpp/HpteNVSil3C5dmzwhyQ3m/jTadthJKeXO6XKaXSVtMrlsc/XAZFo5lCQPTtcG35Ij3389qYMWreSRtNGvxqb/VPhXJfmaJDdNN9Zct//zBekurX12kjcmeWut9dJNxLlK211Zc0p9qrVt4MS3f02MuQ2cZDwpXf85Nd0Yl0zsZNBMA21xSpzUYgWmXoDdSp9qJY9F9kU4KKWUY9LNMb4ryUPTtUcysbZoIY+W1o3W5n+JAhsmYuqTs5kp59HKBHNmym2RaI8xauGAWL/T9qB0OzsPS3JCJpbDzNQ/4Zu0UXHfkhbGqaSNPFpbN+a+1uvUdBPnY6YU/1b6q6R9W5JTa63fsM1zjk13cjxJUms9fU3h7aiU8pU5cvXAa02xPUop10u3jjwl3VcpTmq9mGklj6SNfsX4lFJulP7KmrXWL9twOLvW2jawge1fE2PulE8yJkkp5Y7p4n98kuv1D08qh5kpt4WTWqxKCwXYrfSpVvKYZ1+Eg1S6r1l7crrx6rZTbYsW8mhl3Whp/qfAhsmZ8uRs3lTzaGmCOTPVtki0x1i1cECslHJyuuKUpySZXRZ1UjkkzXzCd/IV961pYZxKpp9Hi+tGfwnxJ9Van7XN309MdzW7JEmt9U/WFdtBK6V8SZIP93drHeEV0mZXD6y1nrbN36+V5D+/Vq3W+vPrim03Sin3THeA9Wnb/P2EJF89u19r/ad1xbYbDeXRRL8a0spYNZU+tZMpjLfJlWcbOKH2mPyY28BJxuOTPDzdvu6DxtpXltFAWzipxUpMvQC7lT7VSh7Lsi8yLlPJo5Ry71rrm7b523WT/HJ/t9Zan7q+yHanhTxaWTemPv9TYMNkTX1yNjPlPFqZYM5MuS0S7ZGMqz2Sdg6IlVLuni6HR9dar7PpePZq6p/wTdqouG9JC+NU0kYeV5Z1oz8Q9pH0V+yZcp5zuSQT3WdppT0W8hjtAdadNJrHJPtVCzkkTfapZKLjbdJkv0raaY+prx9TOMl4s1rrmdv87YZJnt/frbXWB64vsoMzobZwUmtCppJHCwXYrfSpVvIYYl9kXFrIo8H99JbymGSfSsbfHgpsaNpUJmc7mUIerUwwdzKFtki0xxi1cECslHLVWusXt/nbTZO8vr9ba623Xl9kB2difWryFfc7mcJBpJ1MqU8NmVIeLa8brRwIS9rIpYUcEnmMTQt5tJBDIo+xkce4yGM8WsghaTIPJ7VGQB7j0UIOSRt5NDjeJvLYqBZySOQxNmPPY5I7eLBLZdMBHJBR51FrfUuStww85UZJXpd+gplpjz+jbotEe4zRdsU1vasmuf/sqauPZm+2K67pHZfklNlTVx/NSk2lT21ZQNA7Kd3VPGZtMakigjnXTvLMHMljcgU2vUn0qSVMIo8ryboBAACM1yTmTksomf4xnkQeY9JCDkk7eQCwB8dsOgDgSqeknUlmC7QHtK2V9buVPBgPfQoAAAAAgF1RYAMAAAAAAAAAAAMU2AAAAAAAAAAAwAAFNgAAAAAAAAAAMECBDQAAAAAAAAAADFBgAwAAAAAAAAAAAxTYAAAAAAAAAADAAAU2AAAAAAAAAAAwQIENAAAAAAAAAAAMUGADAAAAAAAAAAADFNgAAAAAAAAAAMAABTYAAAAAAAAAADBAgQ0AAAAAAAAAAAxQYAMAAAAAAAAAAAMU2AAAAAAAAAAAwAAFNgAAAAAAAAAAMECBDQAAwLTUTQfAUVppD3mMSwt5tJBD0k4erdAe46I9AIBNamVfpIU8WsghkcfYjDKP4zYdAAAAALtSMtIJ5i5cmOTnNh3EAWmhPRJ5jE0LebSQQzL9PD6b5I83HcQBmnp7tLT9S6bfHrAqrawX8hiXFvJoIYdk2nnYFxmnFvJoIYdEHmMzyjwU2ADrNrqB8EpOe0DbWlnHW8mD8Zhqn/p4kgdsOoiDUGv9dKZ/UO/MJLfcdBAH4LwkT9l0EAeglTxa6FcrGatKKVertX7hgN/z4bXWV2zz5yb6VK31/DSQRxrZBjay/UsaWT/SxknGy5Kcnunu38600BbzRnkyaA/kMS4t5NFCDskB5lFK+XD/a01y31rr2Xt8n5smef3svWqtt97qefZFRmfyedRaP5YGvjGnlTzSQJ/qjXr+p8CG1q1kclZKOabWevkBv+c9a61v2ebPLU0yp74T3VJbJNpjLFo4IPbFJP+46SAOgE/4jtOU82hlnJpMHkvup02yT9VaL04bY20Taq2Hk3zsoN+3lPI7SZ5Ta/2Xg37vrdRaP5cGtn1jy6OUcr0kpyS5OMmH+/h2tIp+VUq5fq31kwf8nt9Ta/29rf62wrHq+Um+9aDerJTygP49r77V38fWp67sbAPHpZX1o4WTjLXWs9JtbyathbboOak1Lq3koQB7PFaRxyn9z5r9nbM9buG9mtbQvsjG8iilXK0LoX5xE8tflVLK3dKNmRcneU+t9YMbDmmtGlo3Rj3/K7U2P87CgSul/E6t9fsO8P2+PMnraq3XPaj33GF5j03yf/u7lye5W1+ducplnpjkkbP7tdbJD/BTpj2AKSilHJvkZrP7q95WsX6llLsddBFBKeVPa63feZDvSXtKKddKcvck10tXXPnxJO/sixs2qpRyeboDou9O8v+SPK/W+qnNRnXlVkr5z0+x7VTAV0q5R5JfTXLvdMV8SXJJkpcm+Yla6ydWFedATGckeVSt9c0H8F5XS/L7SR5Xaz1238HtbtmXJ/m1WutPHsB73SPJa5OcuO48WlZKuUGShyS5b5JbJzk5yTWSZLtPUa8hpicm+UKSv6m1fnYTMQDsVynlb5I8J8kraq2XbToe4OD0+7hJNwe8Za319D2+z5ck+cjsvezjMq/fT39ckvskuUeSGyS5Sv/nS5Kcm+RtSd6Q5LRa67mbiHNeKeWqSW4y99DHho7ZlFIeluT/JLn5wp/enORptdb/OPgo966Uct0k98qR9jg53TjwqRxpjzf3VySdnFLKrTN3zG2qeWxHgQ3sQb/T8xO11l8/gPe6dbpL991wXTs9pZRnJHlWf/ddtdavXMdy16mUcnySu2V44/QvtdZLNxbklUwp5U4ZaI9a67s3GN6VTinlltmiLWqtHxl84YiUUq6Zbj3fqk/9S631og2G16RSyluT/HaSF7b26YYWlVJKkpsmuW6SqyY5P8k5y15FYR1KKWcl+ar+k7cH8X6/meT7x3QgqZRyhyR3TnL9JFdL96nWs5O8YdMn+vpP9Twg3QGLqyQ5J8k/J/mHvR64L6XcMN0VIZLuoN4DDyLWgWV9U5LbJLlOkgvS7eP9df9Jl61ec6skv5TuKhiLl/79TJJXJHnmJreHcwU2systXZzkZUn+sNb62k3FtVullPsd4NvVdO3z6XT7K2sbx0opP5bkV/q75ye5Wa31km2ee/8kf5VuzC0Lf65JPpHka9bdv/o+dWmS/1JrffY+3ue26QqF7pgNHLSfWze+t9b6//bxPrdP90m462UzeayikK/WWjd2lepSyo2T/I8kj8+RA/X/+eds838upTwpyR/2dz+V5MYHPUef6zefT/KidGPpGw9yGWNXSrlZuu3ktbLLy97XWv9pJUFto5Ryi3Uub95eT2guKqXcO8mf9XcPpxv3d3WSqt/HeX26qxHUJN9Ra33HQcTHNM2NZecn+ZN0Y9moThTuRv/Bvy9NNy5dI8lJ/Z8+298uTPLBMc1dr8z67fxf9XdrrfVum4xnN/rjIndNcvscfWzkzCRvGsOxwykU2Gy1fV6Mc4Xb8JruyukXbTfPX1YreexGKeX66eazj05y/OzhbZ4+Kxi4NMkLk/zUJgttSin/X5Kf7++emeSUuk1RQynlUUlOS5fbVvl9Lsn913Wl4CH9lVR/JN3xrJ32zS9PN/4+u9b6D6uObV4p5bgk98vCMbda678OvOY6SX46yZPSjbnz3pfkxUl+dQxj734psGGtVrVxOqhJ8LL6nZ7DSR5Ra/3LfbzPjdNVhN4yazyw1x8k/tV0G8yX11q/fR3LXYdSyh2T/FiSx6bbYR7yxXQngH5jSsUd/U7R7HLsdcztV0q5TZIfSPLEdJPmIZ9Od5Dgt2ut7191bFc2/SevH5bkyUm+Jl1BylYuSPLGJM9N8hcH/XV4+9VfceAp6fK4U4YnBO9Ol8dza60XriO+1s0d1Pt0uv/t79Va37fRoFaklHKjHF0Q8fFa6+c3G9XO+oNHj0ryhHSfSrnmwlMuT/LOJK9M8lu11gvWG+HR+j71riT32e/B01LKzyX57xnBJ7X6T9n8aJLvy9xVmBZcluQfkvzcQVxVYjdKKQ9M96me223zlE8n+Y0kv1xr/cIu33vln5rrCyx/Kcl3ZeuDEecl+fFa6/MWXvegdMUBJ2V4+3FJklNrrc/f5jkrNTfWJkfinN3/WJI/SLdtO5DCtFVZyOMg1STvT/cptD/5/9k773BJqqKN/4q4LEtyiZIzKDktoGTJWRAkSI6SFAQliQQBETGQVFiiRMk5S5acRMnsAgsfQcKCxN299f1R52yf6ds9093T0z33Mu/zzHNn+p5zuk6HE6reqlLVjoYMFpF7sfFUgZNV9ecp5aYCXsIIa0n3z39/FliqyjVWTGl/BbBrXoKfiPwA85z3709dBBswhe8GRQhnboy6HyOgQr39KBO1zX0isjZGJpiR/mMWNCfYTAG8ga25PIngqpLli5MWwd7Vs7ExpHbv3LLhlOHbYoSnEbgoQgVQOXGrg3NHK5TWVxE5B9uvKnClqm5VsJ2/A1u4dv6iqj8uQz7Xdl0R++p4psok/E5EDeSzpLHsYWwsu6zbiSgiMjuwObA+RtSNRxdIwxhs7XQzpsMe0xkJI7jIZw1Q1QtalSkJEw3wwCvaJWlNBmJkFBGZB/g5ZiNImwf7MDLj8ap6RzWS9UeJBJsFsH0SwFeq2so2kqft+PzcbzyvaA7/P+AxzKZzRbNoJkkYLP3IChHZANPfDid5nZ5YLSj3AbCDqt7cCflaQUQexZxrFdOdHZNSbgbgVcz+lKZLEWzfsXBdTqPOrnEqtkb3MnnE70vS/y4C9u+0ncPtJQ4CfkF/vTLYvLxffC0kIksAN2B77WY6t/9iEXa7Nv1TFvQINj1Uig5NTnVt+MEY9auo6tMF2pgBuBfbVEC1BJttsMFYgctVdZsqzttJOPLAMdjCeRLyTU6KGWl+2anFTJkINjUK0I2bGjcJ/xK7H5OR7MFLyvEJwInAMUW959uFiNxVYnOhx/XbwOPAQ1USA50h9a9EeXjTFjge/v6MAvbsFm95EdkFIwdOS+s+ePjrf6CqntOqcEG5ftnvpLEFf1KZktCgfAGe1A6GW0xR6t0DnAlcXdc7WxZEZCWMELEOZugJ0Ye9v9cAp6vqJx2WZU7Mw8rjjlbGWBFZGvPWWMgfalJcsXXM4ap6WjuytoPgmboJ2CTNEyVDOwcAPrJgaWuqmEL+IU2JWhGrsxRwHc03lCEUI0zsVYXBPRaNI74miv8eBeyYx9O/08pXRzS+DYsK1Er+w1X1RFdvUUyBNRUJht/Yb7B3fquyDb1Z4BT2O2OeQqF8oYKoD7sOZwHXd+MaNjZndAL+ujyFPaelE+bFomJ+QuTpt2ra+yAiPwFOIerzp8BdGJnuewTEFCzS1l+S2ukEEubvF4Ats3i+i6Vr/B2wX1BfMOLpN5vVLRsiMgqYy51/LLCSqj6fo/7MGLlmAaLn53RV3b9sWVvIUeTdSJofG8a8OvaFIrIKcDsWtSbs03gs+sCMreQTkT9iz5diKfFKNVqmkBZxx8ZjSuBzsBRSXeVcUAQiMgK4FHtXoL0xuC4CWifnjjSUuX58h4g0trmqXlewnU2wvYdiUSjTSNtF2q7rWa/zmSoTdeqiw/HMf/8UizQwUlUfqlKuVnBj0q+xqJkTD+dsJrx/d2Fr/EfalS0NSc9M/LmtkAw4Fru3J2qNKbPrJNi4tcb67ucE4KgMupEfY+vXKci+J78a21NUTlYrkWDzHYwwBPC+qsb1WoWRMD/3ew4qnMPDfeDmea7XYOlHFojIxli0EB9dMt6nL7AxBoyYEhKywrJfYXvHwoEGisA5sHxM5FS1vKZE83N6918Ryf0mcBW21v8+MLcrqsChqnpS5yRPhojMiM1h3yZZz5OG+Lz/LLBmp/T/7rpfC6zVQrYJwM6q+jdXb3bgSYL9X9op3N8vgHVV9b6Ucl2PHsGmh0rRocmpjs3Zf7GQWIIx6VdQ1bdz1J8auAPzJPIv4dWqumXZsqacfwTm8anAA6raEW+OquCUvtdhud6TmKlJSDKs3AZs1I0GihDd7jXgJuEbgNXJfz/C8ncDG9bBKK5oo3wPFj2pkLItK0TkOOBQ+t8L6H8/kv6nmCfHkZ2RsDUcge58zAuznWfqYox1X+q97TLlSx82vxypqo+V3XgLpd67GEngrDoVP0XgomGcg3nUQevn6n3gpxqLjlGyTCMxz1cw4tRyLcpvhj3jU9KfMJBYxf1VLBLGrsWlLY7Yu3Gaqh5QoI0dgHP9T+ATVW0VNa2IfC0VXU75dyNRiPO0MTdpHXIDsFnZY1RMvu2AC2MytCLBjgd+oaqnZDxHpwk2twJr+/b94Vgxv9/oA76nqneLyH1YBLdwLzIKI78OAxYmMhD7Nt8DvtVJ4mIziKWS3RWLBOiJDA3KQPf3PSwK4EjtoqhiCca7ZqT3vOXi9/5LYFtVvTq7hK3hiIs+hPTnwDRpCn0ReQpY3Mn0FpYS5DX3v9mwiFULuv8/rqrLlylrMzgS4kkY8R0iAtCeqnpxk3qzY0rZETSSa+4Dts6zBy4DYtFKH8C8kAXzUlxRVf+boe502P5iSaLn52JV/VFnpG0qy93kWxdOiukf5idSfCtGYHnGF1LVNfpX7RxEZHosEsxwomfjJsyg5aMEvRqJl0qwWQsj6SjwlqpmjWqQVc44wSZpnwDmSXwelnblVQYgxCK13YCRAsN3FrKtSfr9ryYyRIhW5LKsZVqhlL46Qu+/3c+vgGmzELRT2poSMyxNjvVxEVV9qV0ZXdtVE5kmkjwHCWmrjn6sgq0LtwSGkj6WPYdFtflblvmxUxCL6Hk2Fj0EkseihioZ/+/LXAzs3gmdYdK8UaMBHneeTzEDfC0OcDUTbK7GInID3Kiqm7Qo/2ss6kIr/WHSnvwZzJm60lTOJRJsjgGOcO08o6pLlyRiNxFT4vfzP8DSmjHF6GDpRyuIpQf9D6brCPUj12Dj58Mai4jr9n4jsOgqmwayCeagt2i8TichIisAnjT6P1VNiqTiy76I7ZUEcyZZUVXHuv8NA+4E/P77eVX9VscET5ZvUqwvPr2evydfYTbJh7F9VUh4WhC7H+vQ35nhMayPpROmReQiork7zUnBH/sKGKGqT4vItcDGMTm/wnTow4giiYX1RwGL6wCIGJ+EHsGmh0rRxuTUbRv+VbGBzystnsAWXy1D6IuFQL4RYwD6ft2FhbguNdd4ExkEC4f2TUwZPXygDmIAIvJnYA/3M3y+ngAeBJ6ncXJaGFiZ/hOaYoYJ31ZXYgAQbG7CyE7QeD+epfliYbFYHQVuUdUNKxC7AS28HFtWb1E+/v9LMeNG6Zu3YGMVyuKv7ask34v5gjJh+eNU9aiyZcwCRzTY2f0Mn6kPsfc8qR/LYIaIeD9KJxLkVL50CvF5dQKwU9kEEGfY2hvbbKWF3ewDbsGi2tzcSbJAioyeJKnAfBkIEbMDt2LRYlop9YiV6ZjXg4iMIUozsp+qntGk7NKYsTNJ0ToBM8B9CUzvykD/d+NYVf1ViV3IBBG5kCg0qgIHaI6IOs6z90qi6HVfYOTMf5QkX2ZFl4us8hQwG/2v7zPAaMxAPyO2BkkaoyZGXCkbIjILpnCfnkYFy/2Yl8l4LKrD2vR/lhTLkXxIhvN0bJ0illP70phs72KG2Tcww/OyWDof//+HsdzWDxH1+2+Y5+OooO2hwC7AcUTG0/Uj+wAAIABJREFUe8UiHP66rD4UgSOaroelxNqQyNAG/cetf2JRbf5e9/peRPy6YVJgLxrDUr+FKYVex4yHU2DpKxfHCBAh2elaLJXcVNjz+y1sno8/p59he7LUfOAF+rAFRjBR4ClVXTalnH/uvTx7qOrIWJm1sfkGV+6bqvpOWbK2gliUtsuwtHXhevtMjDQ6LlZ+bSzq6fCgrGARsA6tyylBRNbFCAR+3H8Q8+BLNWA7B4DbiEh2YHvyzTqhlOwUnC7he1hO+5WhXiK8iJyARSzFyfIzVf198P9M84Ezwn6CjRUKzFWm8j62Dn8QWDE418RiQT/AnCHOxtL7fFmWLJ2Em+efpZHw9C6WVuUTYF9XVLHov9Nia82ViKLdKEba/Cu2hkRVj66mBwYROY/oPmyCjfsQjUOjsPQX4f5vIWDeoAzYXvEGGu9zU6jqzq1LNUfWeSNHe08AS7n2tlDVa9qV0bV7N53dn6aiBjJgO+N8KjGtLl2cMxRui61bV/Dy+H8Hv8dhzogjVfVWKoTbF90ALEd//VKID7Bx6nP3UWy9NxUwMzaehYjvTx7FHCVLJRIlEf1SdDxVINSBfQzMn5X8L+VGUp4eS4HsZUqdGzQlhUsROBvGh9icpcA2qnp5k/JbYyl3vJxg1+9zbK/+FpFuZDEa57+Jji+qumlZfQhkm6vJv0cHcnwXi76RFVNiOoh1sJQuU7p2LihjXvMQkXPjx+LtJ5UpEVMQzfk+GqW/Z3uq6tlZGhks/WgFEbkY+GHQ/vPA9poSASah/rKY3mRhd0iBS1V1u/Ra5SJ4nxV4VFVXTCm3CEYm8u/8D1X177EyIVlHgXlU9Y2OCJ4s44HYPtrL2AecjmVw+KBF3W8ARwE/JtoD99t7lSSn11mE4+c44BEindsy2Njpn63bgAOxfYg/dg+237jX6w3EUtjthUUu9RkvFMs68Mcy+1EVegSbHipFgcnJe2p9G5jHHVNsYXW9L1TmYiErnLf0eUSDzXWqunl6jYnK8cuxsGS+3qOYQrBSBbiIHI+xuTtqIOw0gskxHPRvwDytm4Y8d55FJ2BKm3Axs7KqPlyynGWGuZ6RKLWDEhEP+kFjOYI7DRHZEYsiEN6P64AjtEXYfhFZHDNqhUxXxULNVd2PNK+5LOTANAVMWnuKRRxZv0wFvzOi3B+T5U0sHdolaRtyERmOKWsOptEA04d5Ypf6brSCiGyIjffhNXsCC/t4c5pxxzHDN3DllqbxmdpYVW8qUcZuU76A9fVLLK9s6enInKFqO2BPGsmK/tz++xvAXzBP4EqMiDkJEZNhxJQRQZ3wvR2LKWKGE6UHifdzE1W9sRzpJ8o1O3bt/PmabvxE5J9EUfEEI0qcj0W0eDT06hORebDwyvsBi9D4ji+tqv8qsy+t4IyFd2JGTzDZN1HVWzLUXQPzlPdhn8cDP1DVa0uUL3MEGxE5B4s65MsrcBoWzvvtWNlJsDHqBGyd6+/DV8ACqjqmrD4E5zwaODI413OYgvKZWLlpsE3vEUSRePzzfoaq7tfiPJ0k2NwDrOLbxtLxHKkxz1URWQYzbs3ryt1AtL5oSiZzhLV7MfKGAKNUdf6y+tAunMFiR+xZ815XSePv/zBl1DnawRD6rSCWkudy7L555cux2iTtmFgq3Z2w53V6bBzeR1XPC8oMdWWOwfaLuPbvU9XVSpR/X+BP2HW9XlU3Synn94ZgRL/hSc4X0pg2ZIMaDF4zYiS1NWlcGz2Khf0e48r9Erv+kwblxmLk3dLG2KIQkb0xhaR/3i9T1W1Tyk5GFO3Ul78PC0c9IIgTcThj028xRaZi88zhNcjwDpHx8yxV3StWJvN8ICLPYQp8xe7NHSXK2rA2xNYLO2NjyPzB/6A/0WYs5uU7skzyXicQEJ687OcB+6rq563uhYisia1Jlnf178HWY5V68AfyTI3NYRu5Q29hUbguTjOku/FtO2wf60nqN2FGlsrSfYjI/sAf3Plb6gkztHc15kWu5CSi92AICL9ZEeqiV8SMSV4XfSY2hlROPkuCiHwLI2BvT2NKhvhYNgaL2HqeVhBtVqKIk+HY+gVGmr4bIzu+0koX7vQO82N7xdUx/a1P9+rXMLer6nppbRSUf8f4MVU9v1WZEhEa4DcCZvViAEdnJbB0wNErkwNiyfs/bzgHI34OV9WPU8pOgTngzUn0jLyG7Wv/nkTGdu0fjK0LwudqUy05HU6L+5HXuTP1NEEbm6nq9c0KD1S4/f61RFFea3HQbRed6ofT6bxLpCt7GUutmysyr9M9PEAUGeYLYOaq1odZ11QisjumewYjlQ9X1fEJ5V4nsnWUrsttBudEORuRvv6HeffVYpHLLyUK+vCmlh/58wZMV+nHoSsxp893YuU2xxy7vC7mfCJ96DmYw1HiWCYi62H780ldP/6tqouX2Y/KoKq9T+8zID6YEegSzAA0AQtvP2nNMh0XyDMBOLlF+bOD8n0Yq2+GmmQfghlW+rAwk6vUfY8L9uMm1wd/XQ8q0MZPY/fxpg7IGbZfxqcv1u/ETw3346VAvvGYQi9vG/vG+vlijc/XOtiC1MtzO7A75kH2DYxtOxRbnK2PKf3+L7gvF7n/D8E2xGtihI83YmPBBMxDvkzZ74s9H5cBU+eoP7WrE8p5bw334KnYs/5bYJIc9b2nddiPJ0qWcbX4J0uZEj9rY2GiD8PIR+H1+k0F92gZbH77JPbMhXJ8iW0C1qhAnlCGuVqUPSJB5ieArYHpY2WXds/Sp7Hyb+d5tzL2Yd1ArjdalF0r9nyPAZbJcI7JMaNx2P/LO31/UmQZDrwS9GEs8O0WdZZz5fxzNh4z/HbiefLXKPV5whQiXwR9+AIj87Vqfyj91zLHdeg6jwnkG0WLNShGbn+Y/vPVWS3qzR32p0T5Z4g9r63kWMCNS+H7+mjGc/0kdk/m6MQ9KeGarOjG349j8sbXiM8A+9cg36Q0rkd+lrP+7JhC3b/j6yWUmQOLyhc+oyuV2IefB+1e2KTcX4JyNzcpd1tQbs+anhvB9rHx+fpdbP67OXY9/dw4Xx3yNunHH2LP+jEpfQ11CBOwyEnT1C1/Sdfg2qBvHV9jxc69bHD9xwGzJJTJPB+45873ZbeSZU2dy7G19IXY+i4+dsZ/P4F5jk5fpnwl9vO9QNY78t4LbG97TtDnW2rqxySY56zvyxXAsBz1h7k6vh93kGP/WIL8hwXnvqCE9i4M2vtF3c/Z1+2DrT9PwNYhE7AI5KXu/UqSc3JMJ3CjkzVtLBvv3q8fAJN3SJbdY2uILzHP+7bHTox4fRSN+64JwK5134MO3tuhWIRK39cHctSN7w06+Zl4P0ru/2ZB+8+1KLtd7Nm/O+v8AWyBObv4fmS+zl10P8J3/n5ccIXB+sGyGfi+v1m3PN3UD8y5KHwu1mqjre/F2mqp5yrx2vwiOG/qmgojlftyVzUpd1NQbu8K+7Fi7B09vI22jojdjxVLlHMY0XpnAnBNi/LLY3N8OPY8T4b1BeYoFfZjpqruR6n3tm4Bep/eJ+8H87j2L965XSDPZbHBYPeUcr+NLaReBWarWfZFMAZrH+YZehgDSNmIEQD8pmoC5lVdtK3Tg/v4BeUbS6vc1DRVnHXwfiwZWyz8vo224grzJWt4vnYJFhUvYZGNstQbEnvfnya2ocOUlyfFnosPsfzsZcg+R3AfJmAKlNwbKyJPc38vxlOhkRFL9RQ+Uxe10dbFsWdqwaqfqYqumdC4YXiswnNPgxHknold6/hm/zksXUtHjBOx8zUjRAwF/hvIOAE4KUP7i9BIBil9Y4ZFD/FtNzVuAH8M+vwFLYgpCfXDd+MzYEhNz+4iWIjwkADSz1gXlH0vdq9/WvPztF+s7AE5zjEMW4/5vo/uQD/mi72Hm2asNzkWCalBaYp5pyTOK3SOYLN20O6Xac9HrM6faLwvO2U811D3Pvh6m3Ti+Srx2gzFvC7vI3n8rXxd6OQ6PJDl9IJtzINF4+nDCCD99ioYATJc9xxbYh9CQ+nFTco9E5Q7tEm5i4JyB9f83GyI5UNPU8z7z1nAlHXKmiK/j1wayr5drMyZsffheWDGumUv8RosGvTvzorPvX1w7odTyuQh2FwatHdgybK2nMux1BN7YeHPm70PE9z8cCEVk5oyPgtexhFF7gVGbrknaKdyozWwT3D+2ym2j50EI9b4diojmQL7B+e9voT2rgvay+1Q1vuUdl83I9IPpRJpu+GDEZSPINL3xscz//094JQOnD90kvoIWK4D51gec7bwfXqq7uve4Xu6eXBN381RL20uGzC6aBrtQNe1KHtBIMfbwHQ5z3VYUH88FgWjzL4k7dFKv/5YJNdaHLorfi8WD/r8ed3ydFM/gL2DZ2JUCe2NCmT8cYXX5tDgvJc0KfdiUC5VN0gjafnnFfZjp+B+/A+Yqo22hhLpRzLruDK2vVog5zgsinerOufGxp99Mp7rGxip0ddbv6r7UeZnMnroYYBBVU8VkSUx4/cOInKjql5Ro0g7Yopfn1f2NBF5VVXv9AVE5DAsB6a6Mm8Da6vq/1Uv7kSZdnBfT8ciakwDHAscKiL/AJ7ElNif5GlXq03l810s1B3YwvfINtr6JeZlMRlmTPouRkooG/4ZGIxYwv31KS7aCZd7NLYY9PPUEhhRpRKIyFLYuzEJtohcRWPpPdKglqbiYBF5F0vHtBhmmNgmKDMeOMSFBz3EHZ4W8yIaWUIXVqYxLOi+6lYveaCq6lIjPE/07K6MpXqoAsu5v4Ittn7WRls/A7Yiui7LY8SpQQV3z/6EpUEQovSKVZz7Eywdzmki8h3sHd6CKP8zTqaFsbQux4vIZcCftZ70Jd/HFvTqPuer6iHNq4CqPi8i62PpNIZhfdodM+KVhemC761CuK7iRcPSF/w757kOwsaeSbF79R0sZVOlcNf1B5gH+6SYIehaEVldG1NczYUZW4YTPVfHa8l5hwtgleD7aIzYkQmq+j8ROYYovcycIjJbyetEn8pNgP9qxlC0qjoOW2+/hpEl/FywPTCFiGynJaY3bIF5vVjAk5ot7dxNGPHP474sJ1LVz0TkcaLUZbM2K1831MLrnwucKyILEaUKmJWa1p4ufcye7ucEbK2dG6o6WkTOxgyWw7G5fGSszJMicj1R2tdV+jVUHOFeaHhSAZfS6tvBodT0VzFM3rpI56CqN4rIspgSfln6PyufYQqy85Pq1w235tkaSzOxGCb72SIyWlUfEJFfY8+g79cb2B48Mb3MQISqPiciz2PE09VEZE5tklKyZMwcfB9dQnthGPchJbSXC2rpJv4M/FlEFsPG0e2I3vtwLTsES6m7rYiMxsak81X1zUqFbsRSwfe3tWBaX1XtE5GfYRHswNbzZexP8yCct/cpuI/tc/tYn1ZkH3KszdpEOMaUkWIybGPQjF8DDap6jYj8Dksls46I7KGqf61briS4seg44DgRWR0bzzbHUitBNNcPxxxfDizr3C7dzhJEY+ZeqvpYWe17qOqjIrIXRlwGWFxEFlHV58s+V5fAj2WKRfHJC8EiXl5D8fRDwzD9jpejKv3/NMH3sS3KLu/+Kkbub1U+jlMwko1PFfxdLFpgWWi2pt7R/VXgKsyAngWKOZ98hDmz3aMVpIHrEvhUYUJkHxqI6EQ/pnV/FSgjDfwzmI4OojTiVSDci8+SVEBEZsWiF3s82KS9kA9RpY7Ey67AQ5qQSjornK7qISxLAjTuydrFgv40wLOqOipDnWuIxi+wSH8toaofiMhTRLaf2TNL2UXoEWx6GKj4FealCWacro1go6pfiMgmmKfTHJii9AoRWckZi/bCNjZesfcRFt78lbpkdjiPxkW1l29qzJuxaL7HKgk2fuBV4BHNmUcyhKq+LyKPYOQBsHvZCfhNTTv524cAI9x3Be5tV6iSEOYEflhVPyrakKp+6BYLq7j2qjZs/ZqIFLBvVnJNCFX9rYh8H7tXW4nIKar6aKzYkZji1udaXY1yFJi+PQWeUdXCRBJVfVFEnsYiFGnQdhUI+/F4O8ZmVX1LRB7F7odieU8HK/z8ojQSNSqDqj4APODy5e6CEVAWDIoIpuDbEdjRPWNnYNEBmuZhLxGrBbKMxZSLmeDei5MwYirAEiIyjSMZlYEwZ3mrDXb4Tl6X90Sq+n/u3VjRHZonbxtlQVXvFJF9sFQriinILsAM6ojIzBi5ZnaiNcyZqtoOwbYseJKpYmlk8iouL8P6PaX7vRxQZr70mdxfxdKj5IKqHiki7wO/I1ozbgVMLiI/1IT81h1AqEzOqjQcHfv9Vo7zhYbSIorsWuDGp0Ox+3wqMGNNoqxIlN/80XbW6Vi6g/3d934EG4cbMIKNECn/yoAncglG4kiCJ7WCkQTi670Q4bP0aXuilYK3MY8/T8Lz77ffY1xWk1yZoKqfishGwEPYfmFK4BoROY9GB5f3gHUqJJ9UiRcwgo1g82ZVfQzXKhNKaC98NwrvI8uAqj4L/EREDsaiVuyCRVGbhEYdimDkz2OBo0XkVixt3/WqWsY1yYOQCJRkSGlYl4jIkJDA3FDQDNejsTXh0iIyn6q+WqKsqRCRpTEyvt/Hvli0LaeP8/vYBURkGVV9oiRRm8FfKwEWFpE5VHVMkYZEZA4sOpHH18Vo2q34DUZGmQTbO3YlwSaEqt4N3C0i02G6p51JJtWWhZBw/CadXUdcit0Tr79dDHMOG4zw47XQOP+2wkfY/KoYUWVhLPL+s3kFEJG5iQg2qOrOTYqXiXA+nSa1lCE0NGcy8oZwNp5/Ymm4oWS9YbNrJiI7Es3VB6nq62Wee5DiXYw8ONDRiX6E+vOsZK1mCPetWRydyoLXyQgW6ScJGwTfv8RSuqahrr14SPYr4/qFbZSlh4bG6/Nyxjpxm1OesWs0EcFmwOjcQkxStwA99FAEbnP6NDa4Lus8NeuU5x1gI2zC8gbNG52R6DSijctnwEaq+kxdsiYg3FB5L/7wf1k+8XaqwkzB9zIWnqEysmxjhDc8+U3Nu8APVXWNvB+CSCgALcpWiZB9W4b3XthGYWZvXjjm8zrYvfo/Vb25jebOCb7vEP+niwxwAdH7s2y8TEGE83vWBVEzhG1UuXYIDbajS2gvVEhWYQyuC19gRL6PKWcjVRiq+oGqnqyqC2Pv1ZVYmEk/3/h5ZCmMXPCmiJwiIvOmtVkiQu+mvxUgx/yZRm/m5ZuUzYtw85XopREg3ISMLni+8N1IjNBQFVT1LIzE4cfFLUTkBBGZBrgFI2r5636pqu6b0EwdCK9bM4+ZRKhqXBFQphcKND4nhYgOqvoHLH1G+P5uDlwpIlVE4gjXmlnH8LiBM8/YH9YdENEHRWRRETkZIxJdQn3kGrC0ZB7trtPD+vOllAkNyt9o83xp7c4qIismlNne/fXRlZqtW+cKvlepnOwHEVkQcxL5IY3zmf++LvCwiCyQUL1r4Egzm2LrH8XGY++N750b1lfVF+qRsOMIlcNVev69F3xvtVbJgkWC7x+U0F7bUNVxqvp3VV0fI5scha21/Po1nA8nBdbH1rpvOiJ2lZg2+J40z8cJ7K28j0Pj65KFJCqGhYPvZe9jq9IbPoa9lxMNpW20FUYW+QL4Zxtt9dAmVPUD4HHsnV/ERVcfEHCRPC7H1ofvtSjeDsJ56JkiEaiywrUdRrqu0hmsarwOzOA+eda5i2LRBfxeZgXgcRE5VkQGSsSPcE5rtc4ZGnwvus4O61Vt8B0Qe852ISKTishMIjKjiOQhjDVAVT9X1Wv9p0wZs6DL+xHq+MrYH4RtVEn2DW2o3xCRdRPKeOKad8Af16S9UJeQ25m6DZTtvBU605YZQTPU632Zsc5Xsd9Z68XrDshgMD2CTQ8DGaEHTe2bGlX9F6ac7MMG9HmxELSTEKXM2VJVcxtdOoiQHJNGnMnTTtUIB+yhqaWyIwxFnWcyyIJlMcOZv1ZbAs+JyK4F2urYBrVNhBN6GeECpw6+5/E4bxcrEHmEPNVmW6Gx9DspZXy6CqE8w3bZ4cnDZ67KexH2o4zNf9hGlf2oFKr6hqpOr6ozqOoMdcsT4Bksetd/aUxhFhonpsO8AZ8XkTNd2o1OISQw/CNvZReNITQ+zNm2RBG8MUCApVoov0IjVNH3JKyX6M1cMQ7BovH49cgh2Hi6FNF4dDMJxMUaERq2io4voZdR2c9+eF8LR7ZyBKidida7gpHMrxWRKZvVLQEh8SxrpMG4MilPRLywbN7w4pVBRIaJyG4i8iA2Jv0UI6HH1+dlr21bITRytPts+DFKSDeehGPhVCllckNVnwPGED3vpzkvcBPIUtutTzQ23ZDWlogMoZFEkCXkckcgIltgkXa+TTTWTgAuxt5viDwFH3PluxYu/YSfE0Kv/C+AzSqKWlEXQu/q0p79DPBznXd6KqwTcFE6QoX3f9LK1gVVHaOqx6rq/MD3MCP1lzQSbXC/Z6Y9UkURhPN80r2IE8lbGaLDea/KaLJlk8TCfWwlxncX1e92orF1b5emJxdcnX2Inq87HSG7h3oRkn6/VZsUGSGG9UXkCmw981s6S8AO95VVRKYNx76uIoyIyLwiMsJd//Xc90KORGoY6z856r2jqt/H7BXvYWPS5FgapGdEZNUi8lQMH5VIgCVb6IhCg3nRPW9Yr8qIeju7zy4MsnSAIjK3iBwhIre4qLhfYffqHeArEXnf/e8IEZmnTlmbYYD14wGid36EiBQmdbi6K2JrkfeB+0uRMANcBpCXiPZ3Z4TjqIgcRKO9JZWgJCLDaEwlVWV2kUeIHLiWaXPfJEQO2hOI0rqWgTzOnmnl8qwxwrIfp5bqYgxIVlAPPTiEG8uuyNGmqjeLyE8xYk2o2JsA7KSqt9QmXH9UFcqxk3g3+F7GxjYMZVqqR4eq/ktERgA/w1KcDcEYq38Vke2BPdpJ49MleIJIgZUWti8Plgi+P15Ce1kRjiftbqb8wkRIH6dCQ2xZ3hGhh24ZXsdhG1V6/4bkhUVTS2VH2EYZOWh7yAARWRPYE/Mu92z40AgRwh+fHNgD2ERENtUO5G2n0fOrqJFzFNF4VyYh4mHMwOlTN65P+kbxNSLDx7co9myHc2jhVGxlQVVVRLbFCIhLYddh/qDI/cAWNaRfaIaPiUiSRZXJYdSLshXEIfmgLUOZql4oIj4C26TY/VkXuN6lTe0UfKRBb8wdpqqtonStGfu9IhnSp4jIZDRGlXs3rWxdEJHvALsCPyAimscjKgjm2TsSuKhiEcPnecHUUtkQRh1IIwFOlqFMUVyAGSIUWBp4WUT+gRnRv0N0vccDFzZpZ2UiEncf8O+S5WwJ5135W4zMGkareQvYSlUfFJGzMPLArO7/0wKXi8gfgEO6bOydCFW9UkQOB453h8YDW7v0GIMSTuG9EtF9rNIg8wAWlXByLELrppiXfBHsFXz/sMsi/vaDqt4F3OXIdttjupVl/L+pxwEpnOenjf9TVb8UkbFEhsNFaPQKjiN0/Kgy5WwYaW7+1FLZEe5j+1JLlY8TsfRiiq3prhGR3VX171kqi6WaHonNbX6sPrFDsjaT45zWpToCVdUizmhVIJwDuzZiiojMhxnqdySSM3Ry8d/LdjwK21s4tVR5CNeItTpRicgkWLrSnbD1YWKkGRH5AJtDzwOuU9WOj02qermI3IHZK7Z1hxcC/iEiI4GD8xB3KsYj2L5iCLaO3h5Lg5uEl4hSxa5ITl2yM1yHkYkre6ZU9fyqzlUVXIT4PwLfJwr0kLRGmgFLxbk2cJSIXAX8RFVr103BwOyHqo4XkQuxSHiTA7+kMSpeHhzl2vDRv6uOCH82lg7QBzTwKUBnxhwd/Zz2BfC3Ju2sTnTfxlPhXlxV3xFLJbsBJvf3saiXRbAlRmrx5Osyo+L6Z1WA5UVkClWNR6iJ47ux38vRxOkohlDnNiCJhT2CTQ8DGWF47a55llX1NBFZGPM0ARvs9lXVS2sUqx8GycItZLHPLyIjVLUQa1NEVqBR+VJ63l63aTpJRK7GlCV+AloVeFpEjgNOqmGhUgpU9TURuRdYDZhLRNZ0ysfcEJG1sE2RAg+oapXhB0OFZLvhzsMIGWm5gsOw7qVEJ1LVp0TkBUyhsYSILKCqhUJsu/QBPmrEy6r6ZBkyZoGqPi8ij2MLroVEZJmiHsgishx2PRR4WlUrzc3tvBcWx4gMC2OK6mncpw8jc32EeT88Bjysqq8mtTUQICLfwBRLexAZVuMKvS+wvOmnY2S0PVydGYMyswE3i8hiJW8acOf3JIaiyqSQYT91aqmcUNWPROQewKf6O1FEbkyZH24ERrjv25Mzz33wbnh0Rd56Vf3MkTUeJvLOF8wYtHEXevCOITJG9TNsZURYr+zUiJ7EK8DiIjJlO9dQVS91JJuLiYw/awE3AZ1K2+WJdopFaTgIODqtsIgMx8h9oRFhNyCLcWtrGu9HV0S/EJFZMEPJLiSPrf73xxhB4mxVrZKkHCKMbvEtEVmkjbl3K/dXSVd0zxyUKTu9zG8wA7onpw0HfESXkNQ0ssWadfNAxucyEMRKhYh8E0sPsRKR3IJFcdtGVd8FUNV7RGRpV3aVoNxPMA/IH3RCUSwiZUQlewvzRpwPuA2YIUu7qnpBCeeuA78jisKqNCdMlApV/VREHiBSVh8vIjfnnVtEZFEs8pYfw24sVdAOwhkjTwdOF0sVsxuWzrnMNHVZETrrpEVI+DdG9AO7b5cnFRJL+zgiOFSlR2k4dywpIvMV3ROJpbcLox+WHeU1Far6iIj8HSPBeqLipSKyF5YW924/5gbyzoTdlz2xPUA4v1xdUzTsnag+grLvd7cSbELiV1dFlxaLJrkldu1W84fd35CAPQFbs5/t/pYJ/74KsJiILNuptajbx4bOfbXpT5wO869YOkFoTrQcDmzsPqNEZE9VvbOzEk5Mcba9iFwCnIlFBBXsedlYRPYJA5ooAAAgAElEQVRT1Ss6LUdeqOpXInItFoUH4Fcicll8DHW4AosyB7CHiJyRM03ZljTuKeraRw14uHfiYky/Fx+HUqthJKotgTVFZFtVvb2jgrbAAO/HsU6GuYD9ReQlVT0zTwMisjewv/v5BnBMuSJmwh+xvbjX6U+O2Qni9+MUVW3mMB/uxZ+uQad4LLAeJvepIvKEquZy9nTk2T+6n32Ufz/8mKeYvWJ3bK+TJs9URGnk/f3YgQwEGxHZkEZC/9NpZbsaqtr79D4D7oMZWr7CNgUTgB1LbHvVEj5rYgqOCZjHeaZ6dV/XgfjBwvBNwCaVx4AhBdoYgoVI73OfdyqSfR9MWeXPOwGbTEa0qDd3WKfuexCTbb2gLy8A3yjQxnBX17ezYcV92Cm4vmOBKdpo69CgrddSyiwTlHmvxH7sG1zDWwq2IcAtQTsH1PBMbRec/2FgygJtDMG8Xnw7P6pI9gUw4++/g/kqz+c14Ehg9qqvext9/g7mvf9ZMDb3xb6/jEXz6jc+YISXvTGi0YSg7m9yyBCec64m5cJxZvGC/b0yaONnJV/LzYO2fdoOSSg3DxbVz5fbKsc5htI4/z1f9zOUIONSWFoDP6/MVPH5w+dpziblzgzKbV7wXP8M2tip5H5MH+vLGiW1uwlGVgvf1/+E5yq5H08E5/oK2DWl3MxYpKM+zFg3Kuu1xfYZbwXnGVPlM5cgj/eGvYZo/xPey/D3PZhCY6o6ZXZyz4R5hnkZ7wAmKdDO6jTOjaemlNs/uCb3dKA/S2BzU19MHn/tH2h23bH57e2g3h8qvh9r0n9unQCckHZf3LN3UkJf3wHW7ICM8WvbzidXW3W/LwWu1aLYGiTs75s1yLFu7FpfT7Afp8W+1fVjVOyeLdahZ6vl2rCkc02BGQFvq/hezBBcx69I2MNi0av8tfiAlL06sF/smq1VYT++GXs/byzYjmDEAd+P8cA3K74nw7B9YLgXCvv2HvAitr59L2UM68OIc1NXKXvQh6S1RnwN0mwczlO+oe919DfD9ViIxrXNdnXL5ORaFjgD+DDhGQrvxQvAz4FZOiiLYI4H/rzPAtN14DzT07jnqG29DhwXu85Z34Pw2LEVyzwNRvaLPy/XAnOk1KlNF41FkAxlfQaYMaHcdER2ggnAyTnOsQCNa/X76nqmBvoHWAFzJk3SB/Zh0WFfcp93U96RPtdGUxtJrx8t+7AQMDqQ6Qrg2xnqfZtor9Hn2li4xnsxJ9GaKul+/J0mugZsTfZRcF9OqKkfPw7kfhPYKEfdjV0d3+d9OyTjC4GM/wO+l1JuSuBqV+59Il3JeGDdFucYFjvPf+t6ttr9iOtQDz0MGLiQi9cCG7pDCiyhqqWE9RKRPsrzQgjDbreCqmrXROIZKBCRUzBvSn+d78NCgWeKdCAiM2Mevj5KgAJ/VNWiYfNyQUTmwrwc1iFie/Zh7NDDNcGzVUTmJkpnoqo6abxMnRCRE7BNuwLPYUqHTCxUEVkKS2HgU/mcrKqHdETQdBlWwowk/pk6QFVPK9DOVFj/53SH7lDVdRPKbYl5DyrwrKouWUjw/u1OAtyKRRRQLKrFbqqaKXWJiAzFIi1t7Q79A1hbKwhfmyDLhRjRRoF7MS/rt5vXmlh3NuwdX9UdulRVt21SpW24ceVXmBerT5+SBf6Zk9ixCZjC7LCs969KiMi0mEF3T6JUQ/FoNX0YWet0jPDVdG50HpwPYB6CAvxbVTOlnnPzuD/3vKr6ekq5izAvYwXWV9XbsrQfa+MfmHegAnur6l/zttGi/XuIogcA3AnsqTEvBxH5JfbMgRlVDlLVVC8DV2deLHzqSu6QAoeq6knlSA8icldJTS2CRRR7HlOYtYKq6lplnDi2LnyTxtQFIabFPNYVU5D+Kud5fNSRqV0b62nJXk4i8i9MUaJYpI09Smp3A0xRMyX93/1S1ynO8/uMsH3gKcyoOwYjVC6DeWoNc/8/FRuDfuKamYB5+pysqp/H2l8bUzbPE/TjBFU9oqw+ZIWILIRFqtmBKKJeUmj/d4DzsXvaVelGXSj6NYJDV2KkqE8y1l8bWyNNS3S/V9EEL37n2bqxK3OmqpYeSUlEZgAOwQhPc7vDz2MEyNO0SfhkF0XlvODQekXmnaIQkfFEz4xgCsYdVfX6DHU3Bc4lShPjvd9/paq/LlFGP962m14nXGM0a6sj41QWFEy7MhlmUPwWUYSScEzYT1XPKEG8XBCR24n2G2AK+F9h7/tMJOxbRWR+zCNyP2zc9u/3Raq6QwdkzLQ2HOhw4fIXx/q5rqreEfv/CsBDRPfqIWBbDSJvichu2HrdR6f7FJg5Pl92Em59vSrRc3ExsLuqZkr/JyJDgLOI9o9gxMt42siOw0UOuwoz0iXt9ZIQlvsnlhY10963bATvjkfW8TVv2X51u1DPNQy4nSi6kwILak1RZ13E2O2xtaLfJydFNfwcW6ePVNV7K5LtRGy95OfZFzFd1P0ltb8KFn1nAaJx4jeqelgZ7eeU5RjA7xPC665YRJ2XiKLlTodFoJwvKBOWP05Vj6pA7IkQkTUwnfT8gTz/w/TRp8XK1qqLFpE/Y1GP/XP1LvBTVb0kVm4LzNju+3MVph9J0wtNgqXNOgVz+PT3YytVLZrCpRBEZBoyRr3WLkmfFIfTJb+EOa2E+sCrsLS7D6pFUwrrzIBF2NuB/mmY3gIWqloXOhj6EUTxnBE4HCNj+/fiX5gT64uYHkqxZ24hLL3aYr4ZjJR9PDlS+GgHooO6CIu7kLAXV9WrWtTdF0uR57FqWXNSXjg70F+I7sfj2Fo3vB9gOhB/P7YhitrzAaZ/zpR2tIB8h2BpScPn/lr669x2IbJ5nevK7eZ+f+Zk7Jc+W0QWwRxzfXooxXQpB3SiPx1H3Qyf3qf3yfrBjJTrY4NNyAJ9seTzJDFSi3yaMdYTy9d9jQfiB1v8jg2u8wTMa+NYYJEm9RbGjCsfxO7TWBJY8BX0YyeM7Rk+P6+TwGSliyPYBDIehHm092HG3suwHOSzJZSdDYvUcLkr2+fqlhoNIofsguWc9M/Ex8CKBdq4JHY/f5xS9rdBmStL7svUwHVB+69h0UFSIwthBuIfu7KhN2otXnNOpkmIDKQT3Hv6GyyyRT+Guiu/NOZ1PTaod1pS+ZJlXY5GD/Gs3nppc0j4+xVg5bruQ0pfzyaKLpLkRfCeu1fzFGh/h6CdT3PUC6/f5cA5KZ/Hg7IHFrwG7wRtZPY8yNH+PDR6YE3ANirnYsSeSV25STHFaXgPXsTyLK+DKV0XwpT7O2NjcjzqyFPAZCXLn/X5z+zNmrVch/qQde33zwLnWTzWTu53JsM5Tg3OMZYSo5xgecY/7eS9CJ71JxPuSdqY+jEwu3uXwugvE7Cx63Zsc38V/aMo9GFryn5rl05/MDJpWh/7gHHY/L4pbhzoxg82F4+LXdcxGBF7vpQ6Q7CoGFck9P+KlDoz0hjJa5u6+54g45zAksGn1PE2w/nD5/qJtOvfpP58rl7YTtnvd7v778L79hqeh3bmx6QxIfHdqKgvw7E1any+/sodD+W9OaVsH+aVOrSD19ufq6MRbOr8ACcH/UyMkoVFOguv/3jMyHI/jdGBfTu/r6EfyxFFCfFyjMLI/DM0qTcDttcdFevjOGDZGu/LFJhhaiz939+09/tDjKhW6VyRIPvc7rMNpq/yMr6DrSu3x/YXC7vPCu7YqTTuk/6LGbDnzvqps9+xazCHe65Gx+7VYzXJszaWZvnzhPc1/P0YlrZh2hpknDplrH8AM74tUKDNBVzdB2JtTsCM4B2ZP1rItFLC+/sGFk16eJN6wzGC6es0zoPjqSHKBZZ69xT6j7sPEkS6oGZdtJPzkdg1m4ARmY7CiA1TuLIHxO7NOOAubCzeDyPqHII5KYyh/zNVyboK0x2vgRFb42NMq8/rGNGjqzIiYESO8B69CCyXo/6yNEa2mIARvnr9yN+HZnqSLGuRwvuVup/DhGsxFUYgmo4ORFXLKEOWfV3W/V+ez/gC1+rV2LmbyfQFtgZcLKHOyxjp/VhsnvkHjVlp+rD1TO51Qbd8ehFseqgUBT2ZvafWgtjGNO7Zv52qXlqCeECih0ZVUK2Q/S0iPwfO15o8YcqEiGyGKeFDr0w/uH1E5DEQsnGnj5X1nphbawvWa6cgIrNgXtmbBzIp1rf91UXlqctrQERezVllJmxjDY3eS5/RyI4eGp7GHf+UiBmtqhrmue44ROQwLMyrvw+fYRu207RFjk4RWQzbHH3XH8I8KxZS1X756911nced6zBV/U1JfTgn+LkppnCEKDfpKyQz1X3EEP8+fYARbLIuGFRVM+VLLzAnLEljP8AWcq/S2I/5MAMdRP34kCifp2pJ0S1COE+qm2h87rN49gmmiDkBIzgtiilr5gvK4Mp9AWypqmXnSs8E58WxHabgXjqQCxr7+xj2Hlza6p1pcq7FsNC/kGOsi3nAt3pufZmbVXWjnPLNgSk1oORoerHzLIcZpL7hD9H4/D+GRct6G/MgmCOo3qz/4fz3Lpbu4z/lSd4v+ktVKDUaQYE++PXE/JrDQ15EjsLmGYCPVXX6ZuWLQETWwSJJ+f4cpKp/KLH91XCETH+IDqxTRGRh4G4sqks4PnqE7//26rwaReRILG1fOFaF9zbp2C6qen6Z8mdBwnPnZXsFIwiep13qtRiHiByIGX2TrvtH2Dj6CbbPmwGb+0JvP1/vJSx6zbsJ5/g1lpYTzDgwi6p+WHpnBjCCPe65wD6aMRJErI0psbl9F3eo1PdbRHYsq628qPo9L2F+9O9SH/A74AhVHde2YEWFEVkACxHuo6SlrX/j//O/n8GIymM6JF94vQdzBBsfoQZs7zN7/F136+sHsChvkLyO999fBpbRhKi6nYbTV52QIJc6uV6icf+3IFE0i3g/Di1rj90ORGR64EdYxKeVMXJoiPewe3MH8Lck3UEdcFHMLsXm6c8xAv+fVDUtqqOvNxlm5D4aM9aMwwiwV3dW4kRZ8uqyINJFN6xrg7+lR5tsBREZTeQtnvTufohFhB6pGaNIdwpuPLqFxuh34bz3AfYuv47tRT/H9raKPS9TYTrFuTEd1fCweaJ+jwXWUdVHO9WXNIjIfViKbN+vK7C9w6cZ60+Nret/QNSf+1V11Q6Im0WeEU6eRQN5xmGOa8dizpGV66JjMg7HdCPLkby3GIcRVd7EDL7fDKqnrbvi79ID2JpkbEr5UiAiW2GEn3hUwjzwfXoeI29cU4Zs7SAYpwS7FytpxiwDQRuzYASveVw7b6jq3KUK2lqG0QzwfmTUjcafu6zlkjDxXHWMD92OmM05fp3zRAXMUr6hbt774bI73Eq0BoqfM9TDHayqv3P1TgX2IV3n5uuEx0qNpF41egSbHipFG4qktBf4NFXdv23BwhOZgaMWqOrRVZ3L3YvxmDH4bOAmrSH1S1kQkV0wcsrk/lCsSJKRwh8XjD25r6qe3TEhM0JEfoB5/MzsDim2aTxYVUfWSLAJF2atUHTiT5x0q16YubCDTxKlqvKT/1jgBsyg/RqNBqHFMc+DFYI6uHo/UtWLE86zNrZg8eVWUtVHSupD2nibNJ5m+V+m01KMCFEEae94q81Bpwy+wzDvz7mJ3pP3MQXFLe5/H2EpVGbDCDQ70BhS/yEst+nnrs15gF2xEPozB+1+hkWy8eSTyiAiYzGFfHyh7Mk/lwFnlKHgCsY6BejgcyWYQm+WPAYEEfkxFhUJLHLCMFWdkOO8meFSxVxAcnj5ViSaJIRtvIilyBqVUrYwBgNp2SlWioxTf1DVP2Y8xyTYffDKtTtVdZ0C52x1nskwBbYn77yDRbEoLe2D24jfRKRM78gcLiILYuPrd1KKfIClU2sI6y0iZ2Hjahby2U9U9dQSxM2N2JrrCyzCztmqencd8rQLETkIM5T6ZyFprm42r/8L2DDN+C4i38fCpwN8pKrXti30IIOIfIbtdc5pWbh1WzthRJshPeVpMbQ5P36ORZ27EzhHVUeXIlSbEEuPezI2xk7hDrcaa8djpK8DsxokC8rmr7cyiAk2ACKyORFJ8W5VfT+hzHexKI+zukNJupJngI1V9Y1OydoKjmRzHI2kS49W+1jBCGiHdavSXkQmJSINvN+pfUQ7cHuQJzGywyfYnqFfmsYWbayMGcSnwdY0y6rqc2XL2kKGPLqsNIT1f66qv21bsJxIIWArRjw/G7iqqHNLJyAi3wJuJNKRQDGdU5pNYDS2Pqz0eQK8s81rwaE7MNJVrn2jiAimE/yeO9SHRTLtCOE0gzyTYyS6Q4hSBSpGajwBm7OhRgO6SwN4LJb+d1Ja7yPSdIXxcmAptHfv5Hvk0ghdRZQKMZSjadXge5qTyBUYkT5zKp8yISKLYhEJvTwbqerNBdtaHxs/fFuLl+0Q1uTcg6UfA14fN5hQ0lokD9oiPDnd3oUkO/+C2VIPVdXfB3WmwNJJrUv6OBX+PkVVf5ZXtm5Cj2DTQ6Uo0VPrY+wFPrN9qb6eSLgXbwPnAeeq6su1CNUmRGQpYCRRVIVWz5p/np4CdlXVJzslW164BfefiPKG+03Bvdim5hZXtA6CTZWojfksIrNjIbTnoznztl/VWPnDVPXElHNcjBEtAP6rqsu3JXRj211/vwaCjJkbFTkBS3nh+3M9sHMrD3oR2RhbsHrD4Olx4qjzdjwFSyXnn61ngaWqJkbG7pl/xkcBf8Y85T5IrFjsXIXIhG1sIvfXWJ7xFue5n+j9fUxVRxQ8b9bzCfBTLMe7J0gkKVhbNuX+foyl7/p9kUgGPZQHEdkeI1B5HKmqv+7QuVbAvEE9HkoyvrV5jqWwyGlAZwnkLmrOxthcPTW2nr0Pi56VSJgTkZ2xtAtzJvy7DzNaH6aqj3dC5ixw49hT2Lr2b532oKwCIrIsRspYITjcykPuE+CPwLE1R+f4pqq+Vdf5y4CILF3mXkdElgD+rqoLl9Xm1wlujZMX47EIZ5+ULU+ZEJHZsLQka2Ph8SdPKPZvzKB4pqq+UoFM4fUe041EhqohItNgaW82waK/TE8U8fMyLNpx7dfJRVT4K+bMAtl1PP8C9lDVhzsl29cBInIJsDV23fctqoMNHBMUS72ydXlSZjp/WY49r2B7xkKG1nYRM869iaW3GdkJR4myIBYB9yD3mdYdbuUI1qrMxxih8xRV/awMOfPCRR/x0fQVWERVXyrY1kJYBBLf521U9fL2pSwOEVkS24csQ/8IGF0RoUJElsdImN8jH1FlYhPB9weAQ1T1nyWJl3xCI2bdhkXXieuOkxD2ZwyW5mp2YBH6Ry727Y0C1q5jXBCRHwLeuXSMqs7VZnuvY/1USs5g0eK8g6UfO1ZxniRoDVGAux0icjfV20AAUNU1itQTi2C7DbAR/XVuZyc5ejgC+S+BA2mMgBPiRcy2X3lUw7LRI9j0UCkKGr0mYIvnd7G873cCl3XSw+nrgBQjqf99L+b9cEU3eT9khYisDuyIpehJSy30CpZn/AJV/UdFouWGiGwAnIkZgfz96cO8uCrd1LThxd82VHXe1qXKh4jMBPwF2MyL4v+VUDxu6P4A8xy4rHMSpmMgMNUHgoxZISJvEIWfvQtYNyv5xY1Zd8JET8slkjwaROS3mGIK7HnbTVXPjZfrJGIewLdgkcNuyuuplfFckxIoDVT1tSbFw3pFjFYAn2b19HGev/cGh36nqgcXPG8uOI+tH2Ie4iMwz7KsGIflvL0CuLIVAayHaiAW6npYcOi9upTFXxe48WVFLPXg9FiEsbeAe8skChaFiCyjqk/ULUcnIJb2bhssPcaSRCkdPd7EIrrdAVyUJ7JYpyAi47A5byRwfTcYnbsBIjJNt5M9eqgXTik7KxalYwosBfA7veemh7wQkTWw6J8DXsczUCAi02FGlCmxddIsRcmuLirGu1iEwy+BWaskDxfUZY0npotW1bwprkuFW49cj61Hbq7a2aYduOdpU2BzjIA5tHmNfvgMWxteDVxTN/lcRH6COUEp8IyqLt2iSqv2nsTWxUrJaXyLwkVZPQQzlPr1elsRETqBIPLzGpjD7VQZqo3FiJg3YbaPShyNnYF9VRp1y4+SHvX6+9i46cv/SVV/6tqaA4uIvSs2N4ZknVeAFct2pGkFEdkPc45QTE+4cZvtXQ9sSMXRZQdLPwYLpDHN45vAVlogXbZzpL7P/VRVTVtP9lACXPCADeivc7tbVZ+qU7Yy0SPY9NDD1xQi8kuMhOKJC0nhE8dijN2R3RTdJQ9c5IeZsBQ+nvTwnqp+VKtgOeC8y36LpYmBRpZ712xqBjNEZD1gPyzE3SQtiv8f5mV3hqq+12nZ0tAGyaBtZCVCDBY4zxnvHVnIe0lELsIMjgqcpKqHppR7iChN0JOqulxhwQtARP6LhQU+U1WL5LIfFHBRQBYNDt1fhQd2ghxDMK+y5TAlzPTuMwnwP/f5CPMO+Dfw3EAkzvbQQw+DF86zeXrM4PZhNxqLYo4J72Ee4+eo6gv1SdVDDz308PWEM9TPgul4wCLvvDuQdDwDAc7Z6wZs/rtdVddrs71bgHVce5uo6o0tqvQQg4jMrKrv1i1Hu3CRWecDvgUsgK0DhxE5HPh97FgsNdFzwKvdtEYUkQOxKDqKpeb6QZvt/R3YwrV3sKqe0r6U5UBEFsaccMPUvF2pi3ZOFN+mhW5EVd+sQbY9MQdar89/FdhFVe9tUmcoFqXnACJbwI9V9S+xct/Fokp/i2jPcq2qfr/sfjSDiPwCON7JcKmqbtdmexdjzmUKHJ4WHb5sDJZ+DBYkpFYaDayTlxhXNEp6Dz00Qx6P1x566GEQQVWPAY4RkTWB3bAIHUNoJNpMj4UN3ltEnsYW1BfV7SmQB07JMqAVLc7Dby8RuRS7B/PRPIRkDyVDVW8BbnHKPO/xPiOBQQjLv/wQ8J9ORPPIi68byaVmeNa7Ak8XDA18GUawAfPoSiTYYOmBbsPGgKVFZFZVfbvA+YpiDu2lE0JVHwEe6QI5vgAedJ8eeuihh8ogIjsEP68oGnXJ1RsoEZsEmBn4GfAzEXkQOAtLlfR5rZJ9TRB4MCqwStHUXT0Pxh56GLhw+qgBo5MawJg9+J4pymcLhJEUZk8t1UMqBgO5BmzSxSJsVO6gUiLKJmiEOsSuSkvqCOWriMg6ZIsOUxtclMln3KfbsJf7K9iz/11VfadZBbdPOlBExmCELgFOEpGrw/FAVe93jn83Aau5w5uKyBoVR3QLx/nZSmhv1uB7lVFmB0s/Bhv8ODkP8ICIrDdQAwL0MHjQI9j00MPXHC7E6V2OOLA9sAsWUhEayTZLAacCJ4vIlVhUm7srFvdrDVW9W0QWw0Ijd/WmZrDCKfNudZ8eevD4ZvC9aGhZX0+wlHBp+AdG6PIem8tjYaIrQY9c00PZEJH5yo6GJCInpEWB6qGHHkrDeUR7hbuB1+MFyiLhdAFexQju0Lg/Wtl9/iQil2BRbR6tQb6WEJEwrcWbwN5F0m+JyCzAJe6nqupaZciXA/P4c9OePmuyWFs99NBDDz00YnjK96L4RvB9htRSPfQwMBBGMVyghPbCNroyQqKq3la3DAMVIrIg5qgJtu7cuxW5JoSqniIim2GpoIYB2wJ/iJX5XEQ2Ap4n0lEeiOkQq4J3/hNgRRGZWlU/LdKQiEyNObh65E4J1AYGSz8GI3wkp5mAu0Vks15a0B7qRI9g00MPPQATiQOnA6eLyFJYVJttiDa+PhTbEGwht63zIBwJnF8k92EP+eGM23+tW44eeuihAa3ShmVBaNyZNrWQ6gQReYbIK2XetLI99DBAcKOIjFDVj8toTEQOwXLF9wg2JUNEJsMMLN/AxqwPgQ9UdVytgg1SiMg8WJjvBYHpgGnoHzr/I1zofFUd1b+VjiNMLZuE82hBwhkIUNUFRGQ1bH/0fYzoHhJtpgX2APYQkWeJon52k4fi6jTeq0VEZH1VzRuVYIhrC3rElB6+Jhgs899g6cdAQBBtq2qUGZHLp7sWYAURmUxVxxdpSEQmB0YEh8qIiNNDD7VBVZ8SkReAhYElRGSBvOlKPBz5YilsXH65F5FhUGIx91eB11X1jgJtjMQINgCbEyPYAKjqpyJyBJbWHWCddsghBXA/0IfNG1NiUT+PLtjWgdi+A9fmA21Llx2Doh8i8nPMZldl1PNO4x5MH66YfuQmEdlOVa+qV6we2oGITNJNaSDzoEew6aGHEiEiM2K5oKcFJs9bv1nezSqhqk8B+7qcsltgUW3W9P92fwVLi/JrLNXULcDZqnpd1fL20EPZEJEZCxgcWrW5t6qeWWabPXQN3gu+F/VeWjD4/mGLsqGny7DUUj30MDCwMHCViKzrQjoXhojsCpxIz+hbGhzpeidMmbcEEM9T7Ul/92PKm65WCIvIvFiKn9C4+G5N5JQGiMgwYBOMwLEOMHXO+p9hEfauBq5zKUa7Aa1IOAMCqnoPcI+I7ANsB+wMLOf/7f4KsDim8D5JRK7GotoUUaJ3Cj7N7LLA/SKyjqoOSOJTD90BEZkGIwMuTEQGnAYzIvh0zW8Djw0kp5zBMv8Nln6kwRE3FvW/VbVb0oLMQ+SkViXKnG992mPFUmPvhBFIi2An10a87R56GMg4HfiT+34asF7eBkREsGjxHmeUIFee849Q1YerPGcnMAD6EUa9frpgG08F35s52l0B/AWYArP9jgDualK+NKjqhyLyELASNv8dKiJP5rUVuUg8hxPNaQ9X6bgwWPoBnAAcKyI3YfP3TQOVxECkU9gFOBhLuaYYAeoyEdlHVXsO6RXAEZouKrG92YDLgFXLarNKiKW97KGHHopCRFYFdgXWor28jKqqXUt6E5G5sUlsR2AudziuMOjr5j700ENWiMgDwBqq+lVJ7W0LXNB7PwYnROQ7wH3upwILqWqufOIiciFmsFPMADGiSdlLgRC0uq4AACAASURBVK1c2UNV9aRCgpcMERmKGVaKEEy71rgnIhMjCpUVZaUOdGs/RKQPe5bPUdXd22hnS+BSLKKUqmrcgFQ5BvI7ISKLAn8m8pJrZSDym8r7gb1U9blOyZYHIjIJRlrZCfgOjekJQnyAeZOdh5FTKlM8iciUwAHAz4mMT2nXWzP+/yOMbHZqp1L7iciX2LOdOu+599vLNW/dz3XZEJHFsag22xKlzwj3R/5+vAacA5ynqmMqFdIhGGsbDmPpotZT1X9nbGduwBPSKh9ry3qmRGQB4EX38ytVHdKsfJlw8/EUZZD53fgxcc1YhcOOMwauDmwJbEjz1KZxvIlFszq7W5yL4hhE89+g6EcruDHJR4vpGp1aMObG54PcTeWoL5Q4Lrs11NvY/CbAWGAtVX0iZzvLAndgjoiCOafMNoCNfF0Bl3ZkK0wXvRSRs2fed6Br3huPbibEh3DvyK3YPVDMQLhb1pSobq84EtjaHfoHsHbF+5A+4N9OjgtV9f2qzl0mur0fIvIL4HjsOblUVbcr0MZCWPonaLF2FZEHsbRECuyjqn/OL3UxiMgGwA1Ec+B44PfAca0cQJzDyeFY1JfJiEgVm6jqjZ2UO0GWAd+PhP3f25i+49yiEbfqQNL+T0SOBo4kuj8K/FJVf92knVr3sYMF7n6cAfy03SiYIrIGln56poF6P3oEmx4qx2DxcBKRb2Dsz039oTabHBADu1OorYORijbGmKITJ7My+yAi58QOqaru2qJMWVDgC+Bj4BXseXyqeZUeBgvcYuGSIpuehLY2AK4BJq3jHXeKlwVonl7i5QpDhg46uHDr7xNd29uBDbIqRkRkFUyZ4ueRk1X1503K34FFFfO5m2th6YvIXNhcsCam1BtasKmuU+p5dKvSPi+6uR+xTX8hwpiIrANchxn7BRinqlOWJ2VmOQbFOyEiu2PemFOQHH0kzdjjj38J7KeqRb2cS4GIrIWl1ZzHH2pRxfdnFLCnqt7ZIdEmwoWEvxGLCpl0XbPuL5LqKPAysGEnFGgi8jZm/FDM4HZ3QplBTbDxcBEUNsecEb6HI/r5f7u/iu13bwfOAq4vmmqjoIzhWPs8FvHB7+E+BDZS1X9maGewEGxCcvT7qjpTGfI1Od9WwI+ANbAUY2CK+seAq4CRqvpRgXb9/VAqmDtcP44n8pwuogMJn8PDVfWaMmQrA4No/hsU/ciCusekNIjIaKLrOyPRmjB8Z77ASCtge/XQWOrrfortMzNDVUtLISwiRwFHEc0XnwC/AP6sLQwKTne4NzZmTEP0LB6tqseUJWO7EJE5MILD6tjcOBy7F+8DY7C54gYXya4rICL7A8cS6R/a0UfX/t4MBEJ8Gpy+7RJgI+z5HoOR3C9Li1Th7Ak/xMj1c7jDNwE/rFovF1sfjgOuxdYkt1UpR7vo9n6IyG7YvlSB+1V1tRZVktpYnSgSTdO1q4hcBWzmzne4qp6YW+g2ICI3AuvTSH74HCOsPIiR3Me649MBCwErY+/RUBrXLreq6gZVyu8x0PsRey/ia797MbvmFar6ZZVy5UXa/s9Flv0j1jd/rU9T1QNS2umaNeNAJskGz9WjwJZFHYhE5FDgGCy6Zu1rkaLoEWx66DgGo4eTiEyHybUEjZPlgN7U5IWIrA38DVMYdIJgE18I9Gs/xRuzU3gJOEx7eR1T0UHCUyv0I1+1g+C5Ok5Vj2qjnVWAWzBFeiXvuIjMjhl51ge+TfYxdwzwLHAzcE0VHtYiskP8mKpe0KpMSWgg0bVrfBSRszDDuh+PrsK8l8am1wIRWQ+4GNuM+flkZW0S3jZm1Fy/aqWBIxQdCxxEFGZ+UM5/3bQBawfd3A8RuR3bVIIZn3+gqlfnqL8i5hU7FfYc9gE/UtVLypa1iQyD5p0QkT0xb5Sk9e0XwGgajUHzEBmEGtZsmAf8WZ2VOBkichxwKNlIK2nklONV9cjOSIj36L6VyIgQjwz5AUaMex14F1Pmfe7KTeU+MwNzY8bu4UHdsK0PgHXyepxnkP9eLDKCAhepar/5+utCsAkhInMSRf2cxx2OvxsA76nqrBXKFd6LbwMnERmDBPgM2EpVb2rRzmAh2BwDHOHaeUZVly5JxPh5Zgb+TnoUkTDq1GGq+pec7VdyP0RkBmxtuyrp5IzEqsH3tLH2Csy7utT0vHkxiOa/QdGPrKh7TGoFETkIS6vuI75dB1yEpYkYEys7BxaRajuMbDAJRnY6UlVPrlLuQKYpsHQmC/lDWD/eBi4HHsb0ZB8TGRgXxCIn/ACYNagjGLFuyXY9nhPkFIKIkZohErFz/vwdsENQt9ka8Z/AAar6eHvSFofr57kYYbMdYravV7oeNy8GAiE+DTH956bADO67us8rmAE+fD8WIiLWh2v168mu2y5N/9kk2tYbRNEXu3793u39cHo/v8b+Cpilla4woY3fYKlxFHhOVRdrUvZvWIRNBY5Q1RMKCV4QLoLLfcCSJN+X1KpBOQGeAb6rqv/rhJytMND7ISK/xPaknnibtCcdi+mkR2qXpglttv8Tka2B84mc7RQjPe6osRT03bJmHOgk2dh4+z6wXR67hIhMD1wIbEDwrnTbGj4regSbHjqKwerhJCKnY54Y4cT0KRZO9yVscsrtkaiqR5clY6fgBsHtMUPyEuG/GLwEm7hi8DBV/U2Hz1kIIjIc+K37WSrpJOP5qyQ8TTwtnX32fqSqFxdoYymMiDfRW6uTiwURGYEp79YID+dsJrx3d2Fj7iPtypaGpOelRhLdWCyk74mq+lreyi5yxYs0Lurfw0LU3oqRlz7Con7Nhikdf4RFBAs3X3eo6rpNzrMg8EJQfnZVfTuvvEXhlHpXYN4w8c1l0U1B1y6ku2UD1i66uR9iqTIewiIbeiPvalmU1yKyGHAPjcrM/VX19A6JmyTDoHknxNJJPEXkNSNYpLO/YkqXpxOUFJNiCqftgN0xJYHfbH+FGVFeoEIEhnPor0R6lWitDpEhaL6gTFi+LaJtExmHYgar+WPnfAQznNyd97qJyMKYU8NOmIEubPclYClV/bxd2YPzHUtjTvmbsHdhDOY5CrYOwpXZBjPItY1ucrxoBmc02g0bH3xUrVoMWnHFJObIcjamdPUyjQN2VdW/NWmn4/OJW1OlYbQ/N0ZaeTNH034Ntg5GiPSRWC9Q1Z3zS9ocjlxzD2ZMS4oiMrGo+6vYmvFHmjG1QUX3Yw7gNqJ5Ok4GjCPs5xhsTzE7sAiRp74v59sbhaXFGEUNGETz36DoRx50+Rr3eCxCBdg8vL2qPpax7vKY8WEh7H40jXDaSTji6N3Y3NGOgXEUtsYv3ZFHRE7CxnWweWEebRLdxK2Zric9gmBD8eD7lxjx7Pz2JC4GETkAS1ECjffic4zMUVQXvUbrUuVjIBDim6GJriqNXNrqf5lOS4ljnYjcBawG/fZBEBGF7sDWjNeWTY4rC93eD0fU+IDIGeePqnpgjvrfBJ4jMsiPVNU9mpQPI69Uqh8JZJgOi9q5JdmIgPH7diWwuxaI8FgmBkM/RGRNoj3pEJLfETD9xNmY80wuAlgn0crBwgUAuBKYmmgMuBXYItR/1L1mHCwkWRH5ANOj4WToA47NYtcWkWUwndHcNO4rL9D/Z+/Mw6+rxjf+uUuTRkWa0IyICM0STdJAE5VIIUMqQmTInHkqUwoZ8pMSUVLR26A5kjRRQqVJSZQ03L8/nrXb+5z3zGeffYZ339f1vc757rP2Gs7Ze6+1nud+7sfeayQdHjFqgk2NkWCWI5zSxHo7sSgSsXl5D3C47f+Oo09VQNLmRDRmZiBu5UQaBcmhiHYEm6qQPfQfBp5h+8oK2+4JapQJn4usUEH7reQHM/RqgOm1fPG8sq+93xCGRhFGlM1t/7qP89cgCHeZZKcZMPVJD20tTCyAd8sOFdpseUqPn2dljiU2A6U/3/ok0Q3D6O4VJsiSLxskEkqNsq/9GB6LzO/1bF/ftrD0diLq3MANtlfrt5/DQNJ+hOR8831+A7Hhv4vcsdozRuHYKgPj3oCVhUkfh6RVCZLNMsQ1dTNxL7R1nKZzziUiY7Pr8QO2Pzzi7jb3Y2buCc0tgXwOsHun36Hp/JWIOSNTNRFwiu1tR9Pjln3YgLguHjlEOFo+QaR+bOm0TgTl3YmowJVoXPNt5A6qYgP282NEioWsnesI1bOzSqp/U2JtkM0RJgik7ymj/tTGEwhiabsUJDC8E6EV7AlKc9cLUoDCHsD7GZHyZw99aCet/SnCKVm85t9h+3Nt6qmC0NGJXF3WNVVcp73U9k+HqKt1A9JJ5CpBxTab0Uzsu4Egm7RdDxbaqOL3mEPYdYr9vJhQ6fw9jQTyDYAdCaNrVv6Ltt+a6lqJUK3bh8a5AuI5uH6v5KIyMQvzX+rHVIxDUtdruw88ipy4ZaBdoISr3DdJ2opQhoW4tje0fXufdSxLpMPJyLjb2v5557NGA0nLEeuKbRjMwXgKsc4ZSWCIpCuAtVK7H7b9gQ5llyEIzVkgaLdndHOZhwl7QenzRicoFDNvBZai8Xv9BJFyZqocPNNAiO+GGQowXJmYl19N4/P0kfbS+38QxL9v2P5DWe2XhUkfh6RTCZJ31q+32f5CD+ctT8wnWZCzCeJA2wB0SX8i7hcDO9r+yTB9HwaStif2Gpv0eMo5wGdsnzS6XvWPWRhH8mm+kvDvZeqdrcg29xOElaPdIg101ehGsEllnkek3l6a/H6/kEiXfVcqM26CzUyQZNOz9njg2TQGTJxGqNm0S4+4L/B58iCXzOd2gO0jR97xEaEm2NQoHbMe4STpZcQkk/VpX09BbupBkAznr0l/WSRhcxQKBOHoO8TEe1WJ7T+p+ZiblCValSkRC5JLeL4c2I78ev2K7f1G2PZAmIDFwlykqOLHXU4flLUL5W8wVyQWYsunvtxBOHu7PnPSM/Bc4p7JxvRJ2+8uq3+Fth5H5H59DnMbGoq4k87pJZZpKt+8Cb2YMOiVSmycMBJd8Zn2L2C1QQz8kt4HfKB4qEubWZm7CAfPOV3qv4qYXyGeQ2/ut4+DIrHtbyaumWxcPyGUjiaGcJiil8rCwoTaEMTv1c75bdsvavPZQJiVcfQKSRsRUWWZs/53hIzuXHnok5HpXPJIWugzCqwMTMs90QskPRb4O5GOAOBS4Pn9kisT6fNcwmCTEdFXqIoYL+kcYCPy6+J4YO9W11Gb8xclZMR3IZ8XzrX9/BL7KEKufPl06BriWm9piBiinaWJ3PBrkIhrtlfqfFbfbbwO+GrxUJn1t8HEkQQ7If0OexKGzEzKfWIINumzdwIfp3G//Qnbh7Sop0qCzaiup+L66zxgk7Idk5K2IdboxbZOAL4E/JZ4Nq5OPGv2JieLZmO+mSD4X92lnZH+HskQ+pVC364nnqltVaQUCl0fAQ4gv57e5Kb0V5I2Jp4fmVMcIqp8xzLH0A0zNP9NzTgqDqDIUPUzdw45MW1r26cPWM+WBJnNwK/LXI8M2J8diXu7HwfjFzzCNOvJYVhcQ61r+7IO5Y8FXkHj8/mPwHcJwv/NhMNnKWLe3ppIwZ2l+RJwD7B6v6SpYZAUCM4o9PurVdoCysS0EOK7oeKAzyJGtf4SsBVBUtmO2Je3cr5DkNSOAv6v131WVZjUcSR7xzk0rrdPBz4NnOUmVR2Fas2ewDuJ51GGa4CntVu7pvXArYU2nmL7j+WOpn+kNevGhP16WUKFWOT26kuIfXc7ouxEYIbGsQ6harMbjYrQzffI9YQy+zG2/15pJxN6Idikck8hfNIrZoeAK4l02TeP02c2gyTZBYEjiGuo+Ez7G7CL7YsLZRchgpF3L5QT8Vvs7AlNTdYraoJNjdIx6xFOijx5n0//3mi7k4T11EHSAsTmcR/iuxdzT67ZBuZ0YiF6UvNCcBYh6TtE9KmBP9h+RpdTKscEEGwywtOGxESbLRxuJ8/RfS2NkShrEqkMdiUUX0yQDfYnIrZ6QtmLV4Vs3dkECUVEmroN3EEmMW34zyEIgtn9cpTtfcvsW6G9XwBb0Hhv/pdw8M4hnAbX2b63Sz2LEJFxGxHpJbYnxt2w8bO9dcn9f3XzMTfJLbcqUyKKJLptCecGxHg/aPtDg1SaIhu+SE5MbLfYyp6tZxHOio4ELknzAU8tHLo5Y+JXAYVU+YXk4/mWK05D1wtGEEnWLVp+JI7SWRlHP5C0O2Hczvp3CrB9cbOpUEk8izB4Z8dHkt6jG6blnugFyWFyfPrXwPPcQ5quNnVl30tW1y6jdKwU2l2Jxsj1MwinVl/3UTLK/gLYPB16GFjZJaU0kLQ+MT9DfD/rFw0QZUKRPvL8Qlsb2b6g5Da2AQ4D1i6z3g6YCoJNcoruQ6ypFmz+mAki2KTP9yIMX5lKqwmy2eubnsGzQLAh1f8jYnylr6UknUI4ZbO29rP9lTZlFyUITm+mcU1/O0Gy+X2HdkZNsPktoeoJYX/Z2PatPZ77NsJpBOGMXsP2bU1lFiHm+k3TIRNjPnPYvveKWZj/UttTM45ZX+OmyN7r0r9/s73ykPXdQB68s5rtG4aprww0ORgfT+6cu4twIFXmYJT0fPKUlP+0vXSHsmsRdmmI6+IB4O22D+/SxmrEHmW9dMjA52y/fYiu9wVJbyRImhABQcu7xNSfVWIaCPE99mOUAZ8dMep7K9k2X0UE3GYE8eZAPAgF6OOIgNvzmTBM2jgkfRV4PY22VoiUjH+k0WdWJAlk5R8CXmz7jA5tvJpIQ2PgLtuPLX8kNWYFiSixE0H4fyGN12XRH/gQ4ds9yhWr8vRKsEllM+GHzC8jwka0FUGeHRfBZmZIskVIehURjLFwdoh4nr3N9pclrUkEmaxF47Psp8CrOvnYpgU1waZGqZhHIpzeDXw09aHy9kcFSWsTRuA9CDk1aD2p/oVYqH2jLEfDtEDSZkCWNuZu24/pVH4cGDfBJvVhB+D/CGfCfYQc/hdtd5S5S2zeA4APEuSOB4DdbJ842h537NNLic1+dv2fCWzlptz1qexi6fN1KRgKbL98RH17HfA18uftA8DHiAixoXK7KlIZHEDkw16A/FnwettHD1P3pCLNRb8kjGYGLrC90RD1PYp4nm5HkE6Lm9qHCaLZWcB3bJ83dw2TB0l7E6RKiHt7hUlcDLdwzA272B03wWaqx9EvJH2AmDeyPh5h+4D0WfN9CkEo3Nl25RGE03JP9AJJbwG+QHyv19p+apdTutWXqW0ZOLCb46IMSNqVWH/AkNF6yRBwNfl1tpvt44bv5VxEspETtiVdTk5I29P2sSNqZ01yR9tihIrCoeljE8TTUnLPu4f83uNAcqq+BtiLXIm1lfrnrQQx8OAK+9aLtPb2xD2UpQM28Yx9he3/pTJVEGy+2eHjjHidEWT+3WO1Joyq/yTS9501KudUmqvuJlcSOdL2G3s472XAMcCi2SEiGnardkSJUf4eipS312R1p360dei0qeNs8kCpg2x/vkWZRYnn7Qrp0Cm2txu4431iFua/1O7UjEOd00qPClUSbDLVawMn295+yPp+Qq6mXBlpa1og6TVEdL2Bc2y/oEPZQ2lcm/S8vkvP9rPJ1Z3urNJxLekQwnZu4Be2t6mq7TIxLYT4GjkS6fK1hLL7EulwKzvF1cTe+DuuSL2tH0zCOJKd8GdEqqhW82Argnnx2P62j+jSxi+BzdK/x9l+xVCdrjHPIO0r9ib2W8WA0eI1+bArTtfcD8EmlV+aIPA/j7z/twP7AT/I6qqYYDMzJNlmJJ/yCYQ6a5E8eBoRgL944fhDwHttf2I8vS0fU5W7vMZU4A3pVfQY4eRQVnibpBuJCCcBn5R0YjHCyfa5aTFUjHDaQdJmVUY4EaliMkz1g1DSEoQ81z5E3jxoXFhmD7//AT8mmNwDSdvOCIoT+OJj68UEIzlXjiUM8/cQzPqeyAOJgPMZSecT+WUXB74naV2XmHqsH9j+saR3AZ8k7ofNCFLLa4vlJC0EnEQjueY0gmAxKmRMZxGLs81tX1JGxYmg88EUfXsG4SgT8BbCeDVzsH2vpE8Si0IRKTWGqe9BwklyDDwSFbA08Ty9q18D0oQgMyBmBKRJJxJkc1iZhvsqpewzzMo4eoLtD6S5JDME7SfpjwTJ+sc0kmvmEI7fcclzT9s90QkLF96XMecW09kt3KlgicicswYuH5RcA2D7Wkm/I5QbXKi7DBTruqZtqfJwLXnEZpnjaIDta1NbjyA5sjJ8rpsxbBrRFPW3GY3P6+J+6mEi6u9o4KetyNrjhu2TJG1FrGmXIPq9A/ALSdvbvqeifrRVJEtRudkccNCEXlPPIZSAIIyIPSki2j5R0vWE42UFYpxLA2dI2toVp76gMdL7r/2SaxKOJgg2ECq5cxFsbP9H0nuJIB6ALSUt2quSQQmYhfmvua1pGUe2j30/kRp0ECxP2B8grtUXltCvYbFi4X2vJMBOKN4LI5vHpxjFdNe3tS0VyFLhZuSnnsnTyV7wBiKlDMBjJD2nLBtMDyjOwZUquZeMDWlcJ+03iG3EtiXtR06IV6q7FEJ8jRwOpc2LJR1IKI+/hggig0aSyFMJv87HiKDJicIkjMP2g5JeQtiYDyDI2M3Xf/P/Iojbe3cLQJU0P2HTzIiY53YoXqNGA1LwwaEp6C1TY92O8PGMwi45Eti+MynG/IiczPY48iCncYyhmIbrvFkh1wDY/r2kdQn/x0vJv+MtaVStuYWw37YV4phG1ASbGqUhRThl8sEG3tiNXFOE7c8mtYiNCWfu7jQZYGzfJ2lbGiOc3kaoRlSFywvvl6+w3VIh6duEMXhhWhuBBVxBGMW+Y/vOVvXMY7iX+P2n0TFeFTL1GQPvGkSZw/Z5SSnqCGIR9wEiwmAssP1pSU8mFpYAr5H0x4xtmzYwPyBSK2XXxgXAjt1UewaFIq/oMwrtvWEUhh3bFycj0vfSobUlPcX21WW3NSG4Mr2axhzHQyNFft9SZp1jQHEDMJbcu30iM9p/nMH7+1jgU+m9CQdq1ZiVcfSDvYCVgfWJ8X+WINxsSP7cu5RIH/W/MfQvw7TdE51wc+F9Gd9psY6b25YqF/MV3v+phPr+RL63ma9TwT5R/G6qcL4W0xON436ZyXWzIm/9PsSeNVszZAak4n7qeiKNwbdsV3UvDAzb50jalCC7L0eM4fnAHEmlpgodAkWV1UnEaunVwO9s9zw/2P6dpI2IVMxrpDqWBE6TtI3tntPnloCiI39Q8sNlhferdCh3PBHEsCBhp1wP+NWAbfaLWZj/mtua9HEcRzg3TQTVfAr4DJGi9/5+KmpO0WL7rLI6OQSKDtkV25bqHcU6Js5pPQFYqPC+W+r6lQvvv9tvQ7YvSepOmULUWkQ6rCpQtMG0TYM1BZgWQnyNJiSH8DHAMZJWJ9bBryL3jWTr3+bUqBOFcY8jkewPkvR14F3ANjQqXhdxDfGsOqKXYJ5U95fL6muNeROJ9PgLIshiC+IanKpUY4kUuy3wbcKWaEKhf1x7yFkhybZECsTZUdIngHcwN5HpPGCnfrgC04KaYFOjTMwrEU4XEU6U5YH1JC1s+78VtV0mXkmjbFdmBL6HkAY/2vZF7U+f95CMo+sMcm6KRqwCY3uuS1qSYKpCsOuP6lC8G75OpGJbEthe0pJjVgZ4I7AqeWTyRyVdm6IHvgFsT34f/R7YZsRs5KcV3t9ELnE4Cvwf8AnyVAdPp9G4MzJIehawZ+HQZ0cs+Zs9y0UeeVwjR/G7X7RtqfHjfGADcqP9wcDBto/st6JktM+IKdg+pqxO9oBZGUffsP2/lKrkIuBJxNy2QfpYRFT11hWu/dphWu6JXlBcp6xcQn1Fh1dVa6CbSq6vaHwp07lY7Oeo00OJnCQE1Tp7H+kGk02G6BkpheYehCE++15bBSr8FziRyFFfZSBIKbB9uSI98+nkpIhnAb8G9h1bxwJFdZuJSz+QUEwj3Pfzz/ZfJW1CqEhm6d0WB06VtJ3tOaX0sjuKiq2DzrfZfkjAsu0KJRvPbwhiLcCaVEewmYX5r7mtlUuob2TjsP0KSccSTsAVCIfHwcDOkvadxudmEzJSnQib4cC2jDTvrE8+j057wMYoUHw+Pb5L2aKDcFClpyLBpkqH47lE0N+jgedW2G7ZmBZCfI0OsP0n4N2S3kPYgb/ClDngYbzjSIGLewFIWouwuWaq1/8Arp5FZ3SNyUdae7yS2POO1F7RBwZROnsQ2F3SHUR6qHHaJGaFJNsWkl5ApBfLvueiMthqwFOIVNkzhZpgU6NMzBMRTkmG8jOEXODCxAP601W0PUKIYBIeReTnvHfM/ZlFrEx1MnTjkrvbiFw28CLb3aKH2sL2A5IuJOTkFiSIdyeX0svB+vOgpB2BC4lo0vmA70g6GdiF/Du/DtiyAjJQMYrt8lGmG0rPvN+RE2yqjAraFDiQ+H5vAQ4acXt/pdEpUqMRFxMpLkQuGT+J2BjYn8hRvyhB1PuKpD2A19uuIiVLGZiVcQwE23ekiJNfk6cqgbhPt5wQZb1puSd6wQXA34AnAOtKWr4f1YUiJK1AGP4N3GT7/PK62RHFe2L1Euor1lHm/faHwvuVJO3aT4qCPrEr8ZtmuGJE7bRDcT9XNgGqMiSJ6X2IAJCFaK/++TsiYOS7Kd3m1ML2n5OSyqnkkeGrE6n6xtmviSaIJhTVFAZSs7R9W1ISOp1I5WxiLXCypB0GDGbqF0UC00ptS3VGcd/QLcVYkThQqpJkF8zC/AdTNo6Uku4sQqUwI86tTqRE+xbwdtt3ld1uRcjsoVm09PuAtw9Y13tTHVl9l3UoO6/iL+lVhKJMJ9xHrh44qNJT8bleGaEjKbofQwR/LSPpZd3SxUwopoUQX6MLJD2dWB/vQWOqtqnCJIzD9pXkitozC0krETbXJenz+TlJaWVmZRzNkLQ5oXb9Uube844Tfy30oe+9q91iHwAAIABJREFUle39Jd1OZF0YF2aFJNsSkt5FpEXOgpWLfkkTBOjTJb0vywgxK6gJNjXKxLwS4QTwBSK90gbAhyRdYHsa81reDnyHiK6cSkedpCeWWJ0Jw9/dIyQsjHtRMkoUSR9lRJQWJfPKkFYeCrbvTrlyLyDYxo8Gdk4fi9jMb1FRhEFRqrQKQlxRpatKuddi6oyREongERnMcSolzQVJjyUIevcD149TscP2jZLOJHLXP1nSmravHVd/2iH9jl+QdBKhhvXC9NEmwGWSPgYcNqoUbmVhVsYxDGxfKWlXgmA5P7Fu2dz2RDjqp+We6AWJTHkUYXSYj8gLv2fns9rik+T55I8up4fdYfsySdcQZKdnSFo9RSX2jZT6dh1iDH+y/dsS+3m1pMuBtYn1w5Ep9WRpbQBIejYRkJDNnb+vOsWjI4/7LOAMGgnsRVLN3cD3if3Ub8bTvdHA9q2Sng/8lEgTlSmpjIvMPy0oriW7qSm0he27ErnrF0RAkYn0MCdJ2sn2z4frZldkKm3DqHC8OL2a7hGLxT1NZdfXLMx/MJ3jSNfTPpK+DxxJ7HlERPS/RNIBtkep1DoS2P69pGuJwBwBB0q6xvbX+6lH0uvIg00EXGv796V3uHMfnl9idY/Y24DbStzXFufex0t6ru2L25S9kTygZhUGI1AX1Z2qThH7fsLxuRzweUnnTaHCxbQQ4gdGSiO6MeFEXZawHxq4C7iNCNI41/bUEeYkLQ7sRhBSnpMdZsps3bMyjkmHpEcR6XT3INayi3c+oy3MeBX7Z2IcrSDpCQTR+TVA5mNrtefNfIiVrm8BbK9cQh0flnQBY0olOEMk2QakbBbfBralMUvKbwl1ys8Qdq/s2v+YpA2BV405U0VpmKgbusbUY16JcML2Qymq+jRgXYKB9yHgcNv/rrIvQ2Bn4KQZcMzdwAgWwEk+7lIiRcd3bf+5zOpLrKsVxrUhWKbN+0FRlMybCFUR29clJZvTiUiy7Le8i0hXckNFXSlG5lShmrBmm7ZHjdsK76c+R6mkRyIbbD/cpexziYXohuTX2f8knQAcNEZD2qHACwij+8fISWYTh/Tc3lzSa4n0SEsSURgfAHaV9PqKI4sHwjSPQ9I3SqrqJmKzfz1wSGS96Qjb3qektrthau6JHvBJYEdCrWJ3STfbPrifClLO5d3Tv1cQKQarxJeAL6b3RwBb91tBSqt0eOHQKPLYfxn4KrFmWwI4T9JHib3EUIYGSUsABwCHEKTYzNDxpaF6XAMajYxnEwbGH3p60gUPIq19j6StiJShOwxSR5mQ9FliHX7WBKuuZmtlEQ72gWH7X5K2AH5OqIWaIKCfmAiogyoH94JziSjR+Yl9z6HA23o9OamgvIH8mjmvyynF/d6/eu9mKZiF+Q+mdBy2z0gKAh8H3kQecHespD2BN9n+66j7UTI+CHyPuP7nA76aIsM/YLtjaiJJT03n75QdSvWMI/J6DqN57juRkM4Hvm37rIErsv8i6Upy9ZoPAtu0KX424eiBSPN9aj9tFdSdMlRKJLb9j2SLPoNQqzpX0qsmdS/YCtNCiB+wP68h1uBrN3+UXrN76ZWp/BXA521/s5oeDo5EttuHeC4tQms1RwjCW+UO+F4xK+OYBkhaj9g/NJM2pgqzMo4iJC1AKLPuQwSLZftbaLwXTPg+jyJ8iANnKpgE2D59zF2YBZLsI5D0LCLLzMo0kmuOBvazfX+6f74KvKrw+bbApZJ2nkaiaTM04mDwGvMQJG0NnJL+/R/w+H4NxGkz/w7ihrvK9tM7lP0usfE38F7bhw3U8SEgaSHCAfoG4gFxL2E4ugr4J5E2oGfY/lBJ/XooqxJYdQqNET1D0sOMLoqymDPwJODNQ8gs3w0sRvTzT8DrSunh3FgeODa9t+35OxUuE5L2IVQWIAgnjx+UwJUWe7cS5DkT6VAmZnMj6ZUEQxfg34RyzYUVtr8+uZHawPNsXzqitp4DXFRoayPbF4yirRZtZ/OKgVNtv6SKdkcBSW8lTyf4D2Al2y1lqRV5S08mHCjNz7YsAnijkol/PUPSIUTaIgOfsH3IOPrRDyQtTyzqtyOfMx5Ox95tuyWpV9KTgOx7rvSZ2qY/UzWOwhxdSnU91iWqn/+m7p5oB0mPJ54/WUqSSwgy1y/aEQMTeXDrVG5d8oiVbao2GKS+/IIwFBn4AfDaXh3xkh5NGAReng6dSczxfa3pe2zr9EI/s+v7PiIFzxzC6XRdN/KGpIWJnNYbEGSvl5IbjLN75pe2tyx7DPMK0rMMIsDjGODoQZ1B40JhDAAr97s/TPfWkYRseIbK58XCvPIAcY+cBpxu+5Iq+9EJktYEMrUoA6sPu2ZLz6aTifSp2TPjAYJI96msrbJ/D0mnEil7Se2+zfYXejhveYIU9IzCuTvZbptiTNKfgFVT2R1t/2SYvveLaZ//Cn2a6nGkqNZvEAEe2Rz2HyJV0uFuMmJP2lq9CEk/Iubk4jwPcDmRevqPBJnMBIF+DUKlO3POF50VJ9reiYoxYnsb5N/JZcCrbQ+UylLSgUS6sazOA20f3qLc8whFYgi79bMdqVl6bed7hOoFRJDpcqNYI/bQjzWAHxLPWBOEyFMZ3BZdacoSSfsRhHgTc/ighPifE3NUz/PTKJCeQ8cQSrMwN6FmrlMK7w2cQ1z/E6X8mObyvQhli9Wyw+m1+Fz4J0EoPHoSnaWzMo5pQiKU/ow8MLVZCfSRooX3zfdLw2fjmN9nZRyPdERamzwdWhbUXFyfZH39C/BN4Bu2b6RGaUiklDOIwILrCCWXqSHJZkgBoF8k/BbZffFfwnc6F2k0qTJ+gTyVclZ+f9tHVdLpEaEm2NQoDZIWA+4kz7X2Bdv9RjhdRZAQIBY0r+9Q/mRCctjEzVh5VGYydL0deCuxIYYhHEllTbIFA6qBVVoZUGeFhNNkLIbW338rB3WvZYoLpzuBHWx3i76bu/JIIbFp+ve/wOK2H+pwykAYp4EpRQLMIf/u9h10kkwT79fSvwY2K2vTL+n9ZdRDsG9XIdLTndPLCSWS6AT8jSBUicjVu1HZ8nqSliKIPE9Jh262PahC2SDtL0GQSRYEbrU9FinHMiDpbEIm2MCn20WTSlqEMLauQOvnUPb+CmCdcRj0ACQdRES0irj+PwqcOSipripI2o1Y1D82HTIRaf5m2ye1KD+RRvtpGUfJBJuem2U8Tt+Jvif6nPsWBvYlVxMwQZy9FLiWRmfQmoQzLisrYr30NSK1XWlzX6+QtCiRsmfb1M8biaj4H9i+s805SwOvIGRss3nuFOAVHlFqPknLEo6BZ9HeWAfhwLmNIN/8N32+SPp7XPprqLpQT+YkfbHt26gxEBSp+o4CTh7F+n2akNboj6zHbFeqqNDk7C3eK3cRa/KMcDM2J1UiK9xJqFMZeIvtoZWwEpnup8xNzIMRzX2SNiLmtGJ7pxOk8bOaI1mTTWdP4J00qgxfAzytmRxROO+xxJo/a+Mptv9Y0hhmYv6blXH0AkkLEiokBxH2xey6uIQgzf6+UHYi1+pAFjR0IqGm0mpf1/K0ps9FEKZ2HEfkeA/2tnbEm17KNX8n9wO7e4CUCSn48RpC1aWo+POx5rW4pB8Au6R/bwK26+ZMV6QH+TSwf6HfX7G9X799LQuSXgQcR9y7w+y3bLvSDAfTRIjvoS+rEXbQFWjtqG6H5nI3Ai+wfX3ZfewHkuYngnn2AbYifwZD05oDOItYH59g+/6Ku9oRszKOaUQi+l5BKNtn68fbiH3vPUD23DTwIWK9vAIRLPLEwme3E+T+h2Ase45ZGccShEDBPgT5GlrfC/8jAn2O9viVXmYaM0CS/SbhEyuSzq4nginaqqsWFG9WKZxnIvXYG7oFlk0qaoJNjVIxj0U4rUNMPE8oozpKNAY0ObTaEWy6knCmAZK+RT7Wl5CnJhIhaX0l8FfCiLQgwdB9OiE5TOHcXxKb60UIY+Ba5A6WotPjH8B6/W56JH2SIGNl9a07Ckb8mAk28xGRvcsQ39fdwIts/6bjiXPXsy7B5l0i1XM7sHxZm+UxKSoA5ZHoACR9nDBeZ9fntYRR4tyS6t+E2GSuTj7OypUZJP2YkG82sKXtX1bZfhlIxtV7iKgHgOfb/nWbsln0Xfa7/odwGD0IbE6uhGVCLv1rreoZsJ+/6vOUZ5DnE4dw/l5HGPD7uV9t+0V9tj0wJC1DpI55OY2L+hMJJ9jfC2Un2Wg/8eNoYZSvClWOsXjfTOw9McTc1ykaq6cyJa5v+005tgONzkUTv0cr5+Jq0CCNfCfhyDaMLuVYchAcQ8iUt4uCK6Kb0b758+OBvXp1WPSDAln/kbabHTQtypSByh1BNSYHTfNKJ4f1dSSyDUF2rDTlkKSfEntTA7+1/ZyS6l2ImOe3pnHuHxm5VNJXgdc3tQdhiP8jYQheiCD+r5idVij/EEHyO6NDG68mImUN3GX7se3KDtD/qZ//YHbG0Q8kPZtQs8kcEJly02eADzqk5yd2rQ5kgTFvJ8geWZTvIx83FW/+7L9EOoHPjjGo4tD0dn5CuTuz9UCQ+y9hbnvb2kSasgXJx/QTIqVd0d72bODRND7L7wU28QCpfhQqsKcTKbmyZ9BVhMrXD7O1UNpDXUCuZPEAoU78HeCiooNH0irE83Y/IugoG/sdBGnw9n77OSySs/SbhDpSw0cDVjmW+2ZaCPGdkIivV5D7JiB3wh9HrlSVBcJlSlXrAbsSdumivfk6YO1xOBklPYVwwO9JTt5vFeh1M7ma41jJQK0wK+NohqSViH3tksQzrmeMwfl+GHGPZvfEt4h0Mfd1m7MlvRA4jEjFl5Gftrf97yr63tSXqR+HpG8TdoaiOnrz/ukKgrD4nXbP3hrlY8pJssU9iYisH692D0HfkpYk1lxFVXYDv7e9zmh6PFrUBJsapWIWIpx6QdpkXUwup1ZcpA2KMgk2D5F/N6u2iuDrhYQzLUjOiSPJc4X/gdiY/cj2fW3OWYuI6noD8Chig7xH0fAnaWUiB/j+5HKAAD+zvX2ffdyVyNkJ8b0PrO7SpZ2xGpiSAeZQ8nviHuBdwFfb3c+FcwW8EfgYsDj5NfzBkqP/ZkJRIRkkLgdWLrZBGIu+Ccxxn+kLJK1OpJd4DSFPXTSiXw88cxROui59Wosw3C1E3NsbuU0anElFYmlnKbzuIxSs2km0X0YYJUVs+jfKnuGJjHomYZQRcKnt57aqZ8B+lmG4p886xqI2AiBpO+ArNKoF/Qs42PaRqcxEG+1hsseR2h0LWq19RoE2983E3ROzMPcNOYZOzsNun438npG0MaF6tEnhcL9jLY7jHOCQdmTOMtAqqr2FcXEUDsGJfBbXqAaSngFsQQT1bEw4a6E1+Sw79hCxd88INxeM2lkt6QDgc4V+PGcQh3Gbuhcgoh4zAjqMlmDzKEIeP0vDkbWXoZUtpHhsf9tHdGnjl8Bm6d/jbL9iqE431j318x/Mzjj67kCoELwbeA9B2Mj2p9cR9pzrmfC1Ojxi+3wDYf/stj7+C+F8+Jrtm0fdt25QKO4dR6xRRDxLP9xpjSHpMURKlvcRtt77CKXNbxXKPDqV+RCNCkrn2N50wL7uQ9gGs7ogrpf/EHaS8wnSzQPEM3pFGm0eDxP7qPtTvxdqqgtiTtnFHQJCR4VkAzobWIfGfg9jjx6H3bBImi+LEN8LSiXNS/oo8XwqBke9j0hn15Fknp5t+xPX/6PJf8/DbL+3rD52g6S9CULK+tmh9Fq8th4klLSOBk4ZF+GvE2ZlHBnS2mt3IpXPeoSNfBCMw/l+O7m/7Ezbmxc+62qXSmM/kpgfzIBp5IbFLIxDcyt/ZvfFPYSP6mjbF1XZp7KQgg7WJoiKS5IHtPYM298uu1/dMAsk2cJ19TDwPtsfH6COg4GPUCBFT+oavhtqgk2N0jHtEU69QNLPaJR5hXB6nk7OTu87JYDts0rq313E5NLWmDcrCjYAkk4kDIwQTsYD3WNKBknPJNSTliOu0Y1tX9JUZh3CiJBF65ggGvScHzqRsq4jv2aOsr1vr+f30c64CTYLEpFJa2aHiDHfQmMER6tc47sQv0PxeXA18V2XJoc8S4oKihzip5KnqGtW1LkT+BMRVdYpvcSTCGPFMoVzi7/D3YR6zMVl9r9XSHoDkKUBvIiQjv5zh1MmCpJ2IhwhBi6zvW6bctn9m/2Gr7d9dFOZLQg5ZVK5FWzfWlI/5znDfdrcfBbYm8Z1y6+B1xH3yzQY7WdiHNOIEdw3oyTYjAOTQrAZuFmqJaU9EXgZES39dPK9UjfcTESfnQqcWAXBrEXkUjuCTRmBCBTqqZ9hNYBHDKubEISbLQjFhHbRmcVnxz1EOocsnVTpgTqSnkA4ybN2f2Z7hxLrnx84ltg/jfzeSO19EjiAMIR2exZn+4e93SXdS6p7X/Lf6lx3kBfvF7Mw/8HsjGNQpKCLowlHY3GtewqhFgUT0tdukLQi8Bzg8eTEgruIIMJLbN80rr41I92fc4CNiO/7YNuf7uP8FQk76VMIR8y2tk9tKrMSQRp5EvnvurHt8wfs887A18ltoq3mgblO61JtVs99wG5ukZK3Ckj6IqGmU5zj/k3s+YaxRX+wrD72gg5r+kEJ8T01S7n7kvkJO+fSqe5/AVvZvrDPetYn7DuZUvE/gOW6EXTKQgsHPOTf9bWEiti3POGpZmdlHACS1iPID1maoakh0El6KhEYCfE7bFi8J3r1WSgU8s8k1vmmhW10lJihcTTvxc8jlOqPc8XBs2VB0h6E33l9ImB+YIzBZzYrJNmHiTXrbrbnDFHPpoSS3XJMyRq+FWqCTY3SMe0RTt2QVE2uy/4F/k6kqOprET1KSPoD8FTiez3I9udblJkJgk1yvH+ZGMePbO/S5ZRWdTyTiGp8FLFAWstNeVcV0m2nk1/T77f90T7buYPcgNLWyT4Mxk2wSX14AmGEWYXeDRo0lRMxjk1t31hy/waKhioDZZHoikjGxpMJg1Sn6N2uVbU4R8ANwEtsXzVEN4eGpJcSEq6LERFlxxNp+n4L3OYxSAL3Ckn7AV8kvtef2m5mqmflXkXIjkIQIpZxCxUuSbcSxCgD29j+RXOZAfs5zxru0zP+SBqfW/cTv0dGhhx7P7thVsYxTZgWhY5ZmPvmxWeUpMWJVI1LEfPfYumjf6e/u4E/egzKbpLm0LTGsL1ZtzJloLmdGjUAJD2OSKe5ZXotEtQ6EW7+anuVEfTnWCKQIGtv5zL33Mlo/01CEQMqeFYpUi+8iwg2ahfkdA3wXeAI9yAVPmrMwvwHszOOYSBJwIHAhwnFB+hC9KwxHCS9h/i+TagSv3mAOlYmSMCPJpSjV2tetygUX4uBbh+z/b4Bu41C+fVrRPohaO/E6mWNkp1zOmFf7TnQrkxIWoqwP2dKTg8Syk6HewwphYbBLJDmFSnJfkU+joHTdxfs2qT6XjSM07LPtpsJ8/cStrajbZ9TRR/KwAyNY3PCp5ap6LezqfdMRquYYLMb8L30799tr9j0ec8+C0nPJYJ0TYnpVnvBDI3jYSLY9jtEoPc1VbVdNhJh9wfABtmhAasaW9DODJFkzyGU/G4poa7HEwH5G0/rGr4m2NQYCaY5wqkbJO1JOHkhxvV8j1B+fRBI+ibw6vTv3YRM4kkuqLo0EWxWtv23antZDiRdTailPEwQhQYah6SjyCP/d7f9gxZlMmKXgTNsb9VnG6cSBl8ItZwlbP9vkP52aGNFYmI2wCiMxT32YzmCFd2s9NRuAdRs8DgFeG0Zk/W8AIW88kHpb4l0uFtEULcy/yLS+312nMx2Rcq7hkPpdZgFjF2hTGqSPjyM6POxtvdsU+5rhNqIgdNsv7hNudMIx5EZwpBToxHpPjoMeDM8Ij09dUb7WRlHjRrN0DyQcqxGjRrlIUWfbkmo22wKLJo+ag74qefFAZBI/isR0fv/I6Lur3ZJyoo1arSDpFUJhZLMNgP1Grd0JELTX4j7/EFgedv/GLCuzxPpcNpG8Ev6MXnqu3Nsv2DArhfrXJ9IzbULeUrBDJ2c0hn+RTi7v2n7l8P2ZxikgKMfkff7Dba/PsYuDYxZIM0r0pFl3/8/gWXdo5J6i7oWINQAlqJilYvCb3EpYcP9vu1/VdF2mZiFcSRH8xWEsni2Vr2NUN2/h3DMkz77EGH7XYEgHDyx8NntRNDVQ1Ct870puHCulEhJrfWGQl8X7UQQlHQ9sHIqu4bt60fQ7Vbtzso4dqTJHziNSATT84AnM7d9c1BUTT6bJZLso8q8plLQyGG2Dy6rzipRaQ6+GvMOHFKGB0n6OiVHOKW6v9yt3AixQtYV4MpJI9ckfJcg2JiQRf0h8IAif2SrVDu/llTGg9G2Vyuhnp4g6dkEucaEIswwJKETCYINRJ7TuQg2qUwWMbv6AG0cRiyMMyxCGCNLg0NOeOUy6xywH7cA26bF3AGEHGInZIuic4Av2P7RKPs3a0gEmA8nNvQORHqJLcgj+9qheTF6L3AGca3/eBKiTpk7MqOMhXTVmL/N+2ZsUHh/dodytxfeL9G2VI2+kO6jAyT9gJCgf/KYuzQQZmUcNWo0oya51BgFWhB55yLhtihTBqom+079GPqFQ33xKuALyXm1IRF4sgfTuZ6cKNi+Erhy3P2oMe8hOaZeJOn1wAeYmzhRoxysT5BrDFw8KLkm4WSCYAOwK7FHacbPCIKNCHXeoWH7AuCC5CxdH3gekZ5reYLMsBQRFJopA/6TSCfzB+ByIqCzVJvdEMhsrQJumlZyTcJYAgFLxuPSq4GLhnE22n5A0kXkAZnt/CejwBGEssXlFbY5CszCOA4kJ9dAqBTuZ/u+FGiSEWzmIs1IeiHhc3gucW1uDGxv+99VdLyAon2y1ZzRHLy5GKHe3Q5XkPs4nglUQkxhCsZR2NsZWLWVSuYM+VYOJVJNZj4BESn6TiX2enfR2t85SXgBsBD5GN48rfN42YQt2w8DU0mugZpgU2PEsH01sBfMVIRTMV3HRBqUbP9S0s8IOdRs4lmQRpnsDCJ+l1KaLqmeXrFm4f2wi5M/F963c0b+Jr2KuI77QpJWngh55aqQFnM/SpuBjemQa5wwXtTOsyGQCDHfBr6dIs5WBdaih/QSxKL0+rSwmTRkz7FhnSCtUhRWgaIE9jKtCkh6DPC0wqFeyZsLDNqpGq1h+7yUOvADwNuZ0vXytIxD0uNs3969ZF917lsrO9WoUaNH9LIumAUSxiyMoW8kVbcXEMTzLQnjbI0aNWYAto8kovRrjAarFt4Pm96ueP6qbcr8vvC+b3tbJyQn8xnpb1oxX3o1jem0pg4zYvcrOt3vKLm+O0uoryfY3r97qcnHjIzjteR+lTNt79PribZ/JWkjYk7ci1BuPB7YutN5I0CRZNJq79Gc1ngFOt8/xaDP5Qbt1ACYhnF03dv1QsKZdEhamMhkktnzHyLsm0ckEYZpwSyRZGsUMJGG9hqziRmKcLqp8H6SDZW7E1EhuxSO9ZqvcxCM47soEobKal/kKkXNKG54FmtTpkYLpA30X8hzmNYYMRw5IK9Lf9OMs6mevFc2MiKpgKe3KbM1+XPsQeDiDvUtVXj/n+G6VqMVUqTiIZI+whSTmKZkHL+RtKvt84etSNIihFFpd6Am2MwYkrQyxJywie2bx9mfGjOFXtRMyiLpjovsO0jbvaQbnThIWpc8NdSGtJ7/iilHL6uoazVq1JiHIWkdQqFlE8LRsjSwOG3UwFI6gSyK/v4xBCcW7WILDVnXgum1k72tSCqoVYnmRtEWPbYU3jUeQfH3KENxpkgqu6ltqRoziZTWNAvGM5E6pi/YflDSa4n5ZRNgC0n7VJVuLKH4HJ9Lbdv2/ZLuJrItQBDfO6kOFQMUl2xbqnxMyzi62conft/WAzYGFiZXfjnI9hfH26WBMDMk2RqNqAk2NWr0j+KEufK4OtENKULj5ZIOIyRYM+WQxYiHeia5auBmwqE7bSgyVYeVGC2e34uCx1TlR6xRY1pRRu71CUAxGm85SesnueoiXpleDfzW9n20xxML76dNBW6qkNItTT0mfBwrAnMkvdP2FwatRNKawAmEEtS0k/JqtMbK6dW02cfWJJwaA6AXIu8skH37HcP8hOLkaoRRk3T+XXQ2IFcOSSsRhJotgRfR6KRqZVi+GTgdOA04o2wVtV4gaWHbpe4nJb3Y9s+7lyy1zXoc7eusx1EDAElrA58jTzcOvTm9NiMUCAD+I2m5itf0xf3oGkPWVVSfbneNPqqHMvMy/lR4X6WSQ43W+DVxnS4MPE/SowZNm5HSWK6X/r2f3tWMh0ZZChdJtfyRfVjVKURnYBzrFN7fYvvCQSqx/bCktwPZ+W+kdUq+UeGPhfft/DR/IAjwECqTx7Uq1HRfAPxr2M71gWkYRxY40S2AYtr3sEXllzuIdHDTiJokO6OoCTY1avQJ23+UdCExOT4rbXJvGXe/2sH2ZbSIypNUJJFsNI0yccDf06uAdSQ9wfbfBqzrpS3qbUYWlWAiN3ONeQySlgE2IPLaLksY8DNnw22E6sj5Q+YnHxqSngXsWTj0Wds3jqs/8zpsXyXpRoJIIOAISS9KKb2QtAvwYvKNz8/a1ZXkMYvpDf7cruwkQdJjCef4/UQqslp5p0YRCwCflbQhsE+/ucLTPXQUtbpc6UgGoQ2YO9oa2y8aY9faYeX02paEU6NGEb0QeWeB7DvoGCQtCGwOHEIYkZci0rq+r7ze9d2nRQlDdkaqKTpuWxmY7yUIRqcBpyVl3XHjAkk72S5FaVLSh4F3U/1zrx5HC9TjqJFB0l7AlwgnfOYIy9DNKfYTIrXSk4BFgZ2A74yko62RkZQFrCXpKbavHrCuXdNrFuDXCssWylSWImdaYPsiSTcQa931RkGoq9E7bN8t6STi2l4S2JvBU9btTayvDPwssxNVhDLTtxp9AAAgAElEQVQVLsapljHt4yiq1/y+xecNJIlO97/tiwvPimdJWtX29a3KjgBXks9ta0haMKkqF3E+sacQ8ApJ77Xd6pn/BoLsn+GaUXS4DaZhHP8iV8NZmsga0ArNa49pQ/bdGbjQdi9B8ZOImSHJSnpi91L9Y0p90/UmqUaNAfFp4IeEEsxHiDyZ04hpnmAhFjOQL3o+Bbyi30pSRNGryb+Pdmkq1i68n8qHfo3BIGkz4ADgJeSyfu3wsKSTgS/YPnPknWuNTYEDiWv6FuCgMfWjRo5vE84pA88C/iTpTMKQuBH5c+xBOhtONySiyiHUtv4wqg63g6RH7oFumxtJzwU+Q77xBPifpBMIac/KFXjKUriQtCJwTlaX7dU6la/REdn1vzOwtqSde3GASpqfuL7eQqPhoLLrStIqQNHR/C7bt/VZx+OBwwqH3j9uUmRyYL8V2A94XPPHtFlDStoN+Gj6907guSllYRkYZ2qd0lCIsMwwV3RkizJloPJo0hrTj2RMPkXSz4m91tuI1IPz2e5bvn5YSJoDrE+e9qnVM8HAb8lVas61/UAlHewdzwAulrS37R8PWkkiMH+fUO4Zx96+HkcB9ThqFCFpJ0I5oLhuEmFLupNGxYK5kJQIfgC8Mx3anmoJNucQ+83sOXuEpC37dW5JegGxxs++gzltij6z8L6do3Bex9eIPcMixBr90+PtzjyP9wPbEQS6T0r6re1Oqb7ngqTnAZ8g7o/7gUNL72V3zMpzfprHUUxD1Cpgs1nxYjE6K31dQR548kxyVZ6RwvZdkq4g/CfzA88Hzmgq9kPCRm2CIPJTSbvbfuS5n1JdfZp8/38vcN7oRxCYknHcTE6w2ZTY+8wiiqSlqQ12nzGS7A2U/7yd2gC5qex0jRrjhu0TJH0deB3wGknX2T6s23kTiKlmsdr+q6SLifRXAnaRdDPw9l43/ZLWAk4hFkzZ99FS1o9YUGWYhMjHGiOGpCWBw4E9skOFj5vvneyz+YlN9naSvgfsb7vqReDChfeXl+jcrDE4PgG8hpypvgwRhQj5s8fA0cUNWQu8LL0auKpfpY9hIemt5Ia8f0haqUUkR1b2BcDJ5BGbGRYCdgNeKGkj21Wr8KycXoddwD+qqa4ag+GtwCfJf4unABdK2tf2se1OSgSnHxKKgkVp3HOAl4+0x414PbBXav+Cfsk1ALZvlfQUcungvwAfLK2HfULSM4i10Brk926v1/hPga8SKjdPArYgHNxl4N+pXqg2B3vZ6IUkNAtEoiWABW3fUUJdC1GQ1rZ99rB11ugPaS35dklrEOvcd0k6Ywxk8ue3OX4jQag5HTh93GqSPWIp4ARJnyHImf06rTcgntUrjKJzfaAeB/U4+qi/3T08clQ5d0haHjgmazq9fhn4jO0/S1qZ3hyePyEINiIcaJXB9u2J1JilttoM+D9J+9i+p5c6JG1Bbl/L1uvfb1O8qIzYSsGhBnyWsAc8D/iQpIttnzXmPpUGSesAG9NZMfrcpNQ+dti+VtIewP8RBIlfSjoE+HIPgUjzAW8mAhMWAx4AXmn7qhF3u2V3mA17xjSPo+hob7UPbH7mrkCky2mHogpS1WoZp5MHKG9LEzElEQ3OIe51CLXc6yRdRfR7DSKDQNEOcZTtYtrCKjDp47gIeGqq/1BJfwVO6pCqblrvjWKmise0LTUdmDWS7NTbrMqAap9bjUmBInf6YwiDeTeFiAaMw8gqScSD8K3EJPUr4iF5lu1RRJ2WCklFVvznbFeZy7I0JGWRX9KYe/Jy4OPAj23f3+a8JxMEqTcTzt7sYXi27c1alF+MUAJZJB16re1vljiUmYWk1YnorMcTm84FOp8xN2x/qOx+dUOK3PsV8DTmjjrrhGI5E5EDL6zS0C9pbyJdioHv235lVW3XaI/ktD6NMBYVF2DZNXU+sHm7DVdK0/BXcjWJw20fOKLutoSks4kNpIFP2z64TblFiLzFKzD3vVNUobgCWKdKmU/lKRINrDJkfu6MHGTb83cqXzZmSZYzOXN+AKxE43z+FeCtzcoDyVj/PYKoViTXfBp4d5XrMEnXEMYTA6+3PVCO8xTdlMmKX2n76SV1sd9+rAX8mpivW+X0fuT3aXfNSzqKkDrPjEj7ltS3a4HVU7372j6qRZlS7u9RIvWxYa3Q/F0WypRhtOj6m5UFSbsSKSo3I18zPwhcAvyIIJH2TTouPG9NrcQzVkh6KqGeZ2BO1animu4NE4ES77c9VVGbLcZxDvAK95h6WtKBBHl7gUI9/7G9eMcTS0Y9jkfOr8fRfx+rRqVzh6SvANn65yHidzih8HlP+whJjwL+Q/6brF5lcIIi9fRFhI02u67+TgQh/bBV2hFFSuNNCXvby2jcA55oe+cW5zwWuImccP9K2+2IOM3nzkXaarYRj4rYNSZb9NJEEMt6wP8IVfUvTqtNF0DSawjF6LWbP0qvzc+MK4DPj9smW9iPbwQcQfg0TKipHgdcCFxLpHLJVC7WJJT4diFspCIUGvYHzu217bL2OCXaRtYgT31zv+1FOpUvG9M+DkU6wW8Q/f+57W1blLmLuIYM7Ga7XXAwkk4Btk5l32P746Pod5u2nwdckP69C1ixWalD0tMJm0OW4ruVrTB7/yfg2WMILpzocUh6EUECKq77HgBuT6/QGBB4E7EvHxZ2herdTf64W22Pm8g+MBTp188hSLL/BV48jSTZIWxV7QLVYQw29bJQE2xqjA1po7g7oQyxHnlEar+o3Mgq6VeFf9chz5UKcB9wHTH59uMwdNUGylmBpM8Rm7HmBcwDhNLMXwi294LEhmdtYiMDjc6j24CN3CJnuaR3EMYmiN/1Cbb/PorxFNqcSmIKkKWWOIhQ7BjaCTwGx/X8xEJ63awLxDXyP4IgcSFBHsiiApYkHKzrAVsS11rxerwEWL8qEoGkrQmHg4FTbb+kinZrdIekxxBRiNsT6g4AVwPHAke0U4NJ574K+Fbh0Na2y1KG6Iq0GbiH/Fn0fNu/blP2QCLC7hHjPEFYexDYnNiAZs/fN9n+2mh739C3WSHYjMJBMTbHdTKs/x/wQhqNBBcDOzulTJL0fiIl0/yFcncDe9n+ScV9Xok8ZeTDwLJunXe7l7qWIdYh2bhXcMUp1JJD5ErCEJN9t5cDXwDOJAjJWVRlJ2fQdkTEtYE/2169pP4dS54K9CZgB9u/aSozDQSbOTTdu83k7lZlykArEnkZkLQsoSiVRfA1G1uysfwTOKTfZ/64n7c1GiHpSkJt7GHiPvtbl1PKbLvV3Pdfwlh5OnCa7YlXPmizf72FcMK3ddgmI/M3gR1p3MdeC+xku9LUofU46nEM0McyCaT9oLK5I9kS/kFu4zzM9nubyvQ8r0n6HWHDMrCt7Z+X3+v2kPQ2GlNcQOO8/lca7W2rkgdNFq+nPxLpeedSe5T0UeDd6d8HgcfbvqvH/jXPC3PtZ2Zl35T2QRBr8jeQEzruJYJ1rqJ/W/Q47YZPIpSeNskOZV1qd0rhfUYifLU7KwCPDG2uq17VP/tVCS2itGuvRNtIFvwKcIftZcvoXx/tT/U4JG1EXM8Grrb9tBZlziVSrxv4mu03talrAWLuz54Pb7H95VH1vU0fXkY+D8xxi4BTSRsTRLRMYadVEOLlwHZV7jWKmPRxSDqJUNepcl01DtvnMUQQj4mg1DOrbL9MzAJJVlK/5Nb5iefR02gkfd1FKGDHAfs1ZfSvatQEmxpjgaT1CCdK5ngfZhKYFKdWO0NyT1VSG4uHgqTDCTWaYkRwhm4bHhFROFu3M8hKehO5asSdtg8futOt25lqYgqApHWJKOWVGO6+gDHdG01GJAgDxZeAD3VznqbF0qHAm2iM9Hq77c+NrNONfViCiJpZkClneJeF5Lz+VPrXtvcZZ38GgaQnEDLJGf7g9vKfo2j/WcCl6d/7gMXbkcYkXUYYgkXkBt4oM3wpJNPPJE8/c6nt5464+8W+lWV8WZ1wPAD8z/bCncqXjRE5KMa6FpEk4MPkBvZsbHcAbyFSMW1Jo7H+MoKAU0le8SIkvZjYHBu4zvaaQ9ZXVGh5cZUEutT+OwkFwGzuOxx4W3af9xFtvRhBesp+p+VbOVMG6N/LgBNoJGD9lUgNk0VpvSDrH0GGLSOvdU2C74BErjmLiMjtJM1eXH//AtizlZGyTRs1wWaCIOlEYAfit9zF9o8qbPsOGtdCxedBhltJZBsiXdTQz59RQNLOwNE0Rr0+SJDQ5pIMT1Gyx5Ovn7Kx/xDYp+rI3kK/6nHU4+inf4MEnHSzvfVSrkqCTeYohXCeLNvsOOmTYHMy8GJifG+0fWS7sqOCpIMIxe6sn63sPO1sPyJSPr0kI8y3qH9HckLSP/shzbfYE831fc7KvmlIQkdbjMluuBowh1C8Lc7j3X6j5nI3Ai8Y016wWTWs4eMup/dbvuHcsn6zEm0jXyRSnpiw7zyvjP710f5UjyMF4t1BPmcv5qbgO0mfIvwFEOTG1VvZpyW9hQiQgRjHlrZ/2VxuEiBpceCNRADiGkQA+13A7wiF42M8HVkixjKOZHc5mlDEytCK4NN8fOAmGc/ctwLxXS6dXjdy9SnDhsaskWQHgaSnED6zlxNjP5YIlpz4+7wdaoJNjcohaXPgZ0QEfHEDD71PAmOVkBpB9ENNsCkBkrYnZDlXSod6iRh4mHiYH9BrhMyoMCPElDUJ5Zel0qEyjBjjGMeNwPJE3+8nov76UkaQ9FKCSJg9626y/YSy+9qh/R8Ti/uJ3lBVBTWmlxiLEWnaIWknwthu4DLb67Yp1/Bd0yJtjiLFzy/Sv5WqdZRofCkaz/9h+3GdypeNIQzFE7WmagVJLwG+TWOO5VZG16OB/dwmHeSokci3RxB9O8X2dkPW9zNgm1RfpcpOqf2/EUZuiDSbOzV93o8z6DpgFWIsL3QJ0reS5iOk09dnsP3DQM0yIffFpKIpcg66Oz6z/d8NwBa9OERqgs1kQdJ3CSVaAweOKvCgTdsCnk2QLbcgInkXbFG0eP9fTk64ObvZYTFOKNIWH09E9BWddD8hjI3/SuVeBXyZPPWaCGLhO2x/sep+N6MeRz2OPvp2aB/FFyLSLC1FPrf8E/gNQXIvqsmuSTwbinaIu4CvESQXbH9wmL73CkmvJhSBDJxne5MWZfpZU32f3BFxcCuiVBVI9qovEakNMnQj1d5DOHo/7KaUryX2q9kR1Y5gUzZqW/SgjYZq5hWE2lFxfXgbeWqldorRu5Kn3M6us+uAtd2UvmXUGBFxqxf09Zupc4q0OVmdwG6E8kmvWIiwm25JqIzOl+o50vYb+6inJ8zKONpBjWplW9k+o+nzLGVRds9cAOzugoKTIu30l4h0eyKUpJedRjJCjd4haR3i2fgcIgvCYsR1/KRUxETgYykBmrZXKaOefiBpGyLYakFCHX0323dU3Y9hMEsk2WFRIAIa+LanVL0G8tymNWpUAkmPB75Pnj4FIjfgz4mN137pmIEPEmlxVgA2IFfzMLHoPpLIZTwuVL2AnkhMkiqE7ZNSdM+OxKJ4A3KJviIeJBivZxAL5j+3KFMpEjHldNoTU6blejucxpRpEEoVp5FvkCtT3BgEktYnnjtOfx/pl1wDYPvHkj4CZEziFSStb/uCTueViEOIDeJCwOckbWT7noranmR0iq6v0RnLF953kjbdNL2KUI84trmA7dMl3U6uDLYOOeFmWrBVejUROVc1jumzfDtZzjspyHJOAmyfnIz4PyRS9TXPifcCb7bd73dQNpYovP9nCfUV61iyhPp6hqS1gBXTvwbeMWSVGcEGwng+NMHG9sNJxeZHxBoP6uf5WJEMXc3kmhMIw+5viTXf6kRU3d7Eujy7n1cBzpa0ue2rK+56z0iqgAuWYcCTtBDhHALAHVK2TDiK64FF2pYaARwRYpemv8MkPZpYd2xBrHvXSkWLc8Yz0t9BwH8lnUPsTU6zfUVVfW8F29ckh8mRROrs7P7YAbg4ESD2SX/F4KQbgV0r3Fd0RD2Oehx99K0nkkuyHZ5MTq65DPgAcHK7KFdFGvqXEJGx6xDr3q0J5ZR+nK3Doki6LyMdRJEcMjY7vu1LgfUlPYdwYG8IPBNoVvG8iXD8ngF8r2wVpBbo5ZqqhFxVEabFNtgJ7yMn12QkgPcBh3eIYr8I+J6ktwL7E3a2R6fzVwXem/6qxLj3or1iDr0FoH5/iDaK1+VxQ9TTCXOYjXG0w+kEwQZif9VAsLF9UVrDZil5NwCuk3QVYWtfA3gsjQ77o2pyzezD9mXEOqkBTeTSjQYNLpwE2D5F0ouAHxNp5a+R9FXgFODKcQfND4Fh7FlT69+wfbikZxI2oldJOtn28ePu1yCoFWxqVApJhwEHk9/83yIij+/rFsEh6YWEJOlz0/lnAdtXsFmr0QGTrgqhkK1/LGGYuZ+IYrq56siGbpD0C8IwXHwoz2FIYkoZEeO9QpG+5i/km+S/Ay+zfVFVfSgDkvYCvpH+vRd43KAbkmT0v43Y+JuQ2f5WCd3stf03EE4uCIPE7pNAKBsH6uj34SHpYGIeNnCs7T3blPsa8LpU7jTbL25T7jRgc0ag1iGpU4q9G9KrCePETX1UXYxuOij9P3WM+2mQ5UyRjUcTBvxm5YtfADuOey5PcvmfSn2aS/FlgPpOAF6W6jvE9ieG72XPbe8OfDe1fYXtZ7Yo00+09XHAzqm+g2x/vsS+zkc4CXehMUqrWRmzLNRzRhtIOoVwXkJ89/vZ/kqbsosSKciaU7reTuRSb5mmNZ1b6RwuaVciz/tm5ASSB4FLCILX0bb7JtU17Ztse+oCniQtRURALpQOvc72NzqcUikUaSgzdZvNiSj3ZhT3W7cQa5Wxz+FJFe2z5OqXMPf8J2J/uId7TLFWNepxTBamcRyJjHge8Cyif18k1hI9qZCkdcJngAPS+ZcDG1S1bmxaHx5v++UtyvSzpvo5Qew3QTD/avm9HhzJ5vGIva3X36lG/5C0afdS/aNiu+H8xNy7NPHs+Reh1nFhn/WsT+wJsz3AP4DlJmk/OymoQGmnOKf8xPbLRtHIrIyjHQoKNRC+ixWb5y1FWsdf05gGEhq/l+z9n4Bn136zeRdNiikDq3ePEpIGeWYPrfrCGPbis6KmVxYkrUT4EWEMqQXLwtQZdGpMPV5L/vA7sx+1E9u/UqRjOBLYi4hUO57cqFtjvJhI1qTt2wiCw8QiEVMycs3UElOATK4zuxZ2nsIxQDjqIMZwwTBsf9v3SrqAYFdDayP/yGD7q5JuISJrngf8QdLxBOP7t8Bttv9TZZ9qTDXmb/O+GRsU3neKzr+98H6JtqUGww30Ft107hBtFA07PxqinsqR1CJ2k3QeIcu5O+E8HruDEUDSGoQKRpbaABrXGVsBF0rayfafxtDFDEVFixXbluodxTqqdnAVo63/WEJ9xbRdjy6hvkeQHDcnpr8GqKQUcDW6IznUiuTwI9uRawDSeuMtkn5FrEsWTec+DjhT0lYpOn5sSMT8H5JHhhaf8wsQ6cnWBw6RdMgQxNBpjj7/DLlaQea4nhjY/jtxfR0DkCLjMnWbjYm+F7//5YFXMQHzn+0vS7qYuAaztLLFvj4MfAT4kCc4Uq4ex2RhSsfxDnJyzXG239rPyWmd8NZEuNuVULB6J7my7KhR3OOs0LZU73h64f3YCVDNsH0vEZhUY8SokggzQmwCLEOuGH1wv+QaANsXpACgL6dDS6e655TUz1nDKNeeAv5NpOR7zwjbydoaZd1VjWMuJIWanYjUPhB7pf82lblCkU77OHLFfhdelf4uB7abdHKNpAWAp2b/256ofUWvmPBxTKS/roB+7+ls7hjk3HFjs3F3YJJg+8aUGm8dYF1Ja9q+dtz96hc1waZGZZD0VGIRDfEg7HuxYvvBlE9yNWLhvIWkfWwfXV5Pa9SoHLNCTMnk4rPo9/PH2ZkhcHfh/a0l1Feso7IUTS1Y4CKcCnukv6xcP9VOZbT1LGHMafmK1+8yrQpIylIQZfh1j3UvMGinuqDbBT7ohizb1Ak4H/jZgPWMFZMoy5mMSkcDi5P/Pg8SRqSXEwYnEfLJl6R14Anj6Cuh4kDqz7MkLTaoEUvSYsCzC4f+Pmzn+kRR3v/+tqV6RzHFVdXpCSfZgDRLeA452fIhenRc2j5R0vXEczNLybk0cIakrQdxspSBRK45C1iTfE3e6loSkXbky5J2APacBMWHUSPt5T8CvJR8/rvF9iVj7VgX2P4dkRr400kx4sMU1sFMmGHW9sWSfgK8hca1hoGfucf0OuNGPY7JwjSNQ7E5fV3614Ri5KA4iFDTExHsVxXBJiP3ZuvDBWw/MEhFilTiRQL2JDntatQYBKulVxHpcYex5x8NfIxQUMrqnjNEfbOKTs/4Q9NrphbWq0KjiT3jP4GrgEsS2W6UmJVxtO+MPVcASYsy50p6MvBGYHsiNdRShOrN74AfAMdMiZrTCkTwJ8RvMa325kkdR/GeKSOl+ajQjzLVsHu3UapgdW54NkiyZeN6gmADkXa0JtjUqNEB6xTe3zKo8dT2w5LeDmTnv5HhFuQNKDilDaxaR77WqACzQkyZr/D+qrH1YngU08Us1bZU7yg6GftJRTMsigvGaWZ412jEYoSKW/Z7VkmwychiojGSsoitaSRFXNyhvuL9NW1KSplT4gTg9RMU8TsIPkAeuf9OQh2wciS58E8Rcv7FKJubgV1tnyfp60RO9eXS50sAx0n6PPDOMRiRzieu8/mJfdXehEFvELyGfG/mVHeVKKrxPLaE+lYtvK+afDDpUVqzgsxBYuB3STmkJ9j+XVImPZ0wCptYL50maRvbvZIzy8RRwJNpdD63QnE9tRVwkaQtbF8/+i4ODkmDpHF6FDFXrwWsklWVXg18tISujQySFiQCGbKUUc8Yb486I5Govw+8iNYpfLZPaYX3sH1H61rGj3ock4UpHMf6hNKOCUfnzV3Kt4XtmyRdQii5rihpQ9vnldTPTjgfuI8gLy9CpDv99oB17V94f6vta4bsW40a40ammmngItsPDlqR7QckXUTM81DOHmbm0IlEKelQ8rnhc5PsA5mVcZQB2/cAn0x/045ZsVFP3DgmiUDdAWdT227mZRSD+8pQBa8cNcGmRpUoqtf8vsXnDQ9TSQu3y5GcInBuAFYmIkJWLdGo2XVCrEk4NUrGrBBTisav+dqWmnxcRERizwc8W5IGdZ6nCLx1078PkRMDq0JRIrSMekpHimKvArO25hmHA7k4dy8naX3bFzSVeWV6NfDbLinWnlh4X4ZaVBHHdPjs1enVRGqnXhVHmqObzrL9l86nTD4mQZZT0gqEQs0GNDp9zgR2S+kesX2WpGelspsUyh0IrCdpl36c/MPC9r+TUXfDdOi9kn5k+8Z+6km5h99Lfk9favvOErvaC27JukOkZRgYyZn31MKhKtN4Fe/9iZbEbgdJSwALluHolLQQsF72v+1Oafv6xWMK7/uey23/VdImwBkEadOEctWpkrazPaeUXvYASdsA29LofD4B+BIRjfggsDqwC0Gky0h+IognZ0vaPKXfm1TsxeDrhiKpJhv3iba/3P6U8UDS2oSjrZgSChrHQNOxgZ17ZUHS+sTctiKN8+B5xByT/b8FcKmkl7dYg40d9TgmC1M6jiJB94YS6ruBINhkdY+cYGP7fkm/JOYVgI9KOsl2X9HjiYi6L/lza6JT0qb1yyrAQsTe7qZhyBM1ZhZF4n0ZpL5ifVXvn2YFsxKcMCvjqFGjcowrzZXtF1TRTo2JRdEvMJV+m6nsdI2pxRKF960iWZsl+BajKddkE64gCDYQElJlOmm7LcgmjpVaYziMOe3KLBFTMqzSttSEw/atKYpvG2BZYEfCyTIIdgYeTzxTfmm7bBJBJ0wLC3xlqpNoHJsU5CzA9lWSbiQ30v9/e/cdbklV5nv8+zY2sZss0iDQKDIqCCKgCCI5KiISFBBRMVxBMF4dkVEwizNyGRAHVERURBjFaUlqkySMBJvkCNcroiIoojQtqaHpfu8f76quOrt3PlU71Pl9nmc/Z599Kqx1duX1rnedbma7ufsCADM7GNiHfLtrOWySma0IvLDw0b0ll/Vtrf5mZkeSl/FDCpIFhpiW08x2Bc4jejMWH4p9Efi4uy8pTp+O0bsAXyBS/2f79fbAbWZ2qLtfOajyA6eSN1KtTR4c0NU2bWazgTlM7M3ZbxacybgBWEJch6xlZrtO4v/4dvJj7ePAwIaQabfvjzIzOwQ4ghiXe6X02TPE/+6HwDd6bZhL1iVS5WeBEWXe/69QeN9XA5q7/9XMdiIy2byMKOMqwCVmtr+7z518Mbvy3vQzOwYd4+5fbZjmduB2M/s8cfw5hvx4tR5wTQqyadaRZNwVA7aXAP9KBAUOnZk9hwgO2BPYnbjuXvrn9LMYGJR99ltiu/spEcw5NGZ2HNEDeXnybepx4B3ufoGZHQ78B7By+tsGwNVm9r/d/bSBF7gF1UP1KMl6hffLl7C84jJmtZyqfJ8lD9xcn8jQ9tosaLyTdK37n+RDoz5DHHsrlRrYdiGCSmcSz6quaXe/ZGb7EVkwt2Pi86wnzOwy4IxBBs1OlgKFKlfM6lxGxpk1Wyx7pIzwdrVL4f1fWk41+upSD5FhGdVhrqSmzGwW0Rksu095aIjF6Zt2FBmkYrBMswbORxt+X4/20ewLCu/X7bdQTRTHo27XEDvSDdfKCtGzYQ67UpfAlN+kLAhbAi81s1mDzCRQsk+TD3VzmpnN67axNGNmzyMaXiEaIwY15jswllHgI31MlaXOBY4nvq+tgN+a2VVEMNoO5OfOZ4Bvt1nO9sSwOhD7x/9UVeAW1LtpomGm5fwpE6+3FgBHuvuPW82Qgm4+YmbXA98kH4rv2cBPzOxEdx/U0CX/CdwBvITYpl5MBPr8K3BWq8BKM1sHePOTyeoAACAASURBVBcRJLQq+fb4P0TA0UC5+3wzu5k828mnzeyqXjO4mdn6wD+T1+dnjUFSkkvbwYVEpg2YuC9MJxqrtgOON7Pj3f3MflfVfylbKt6LPaflVB2kbW9X4CfkD1hWAuaY2YHuftnkitmema1MBGhk2+xZTYJriuV9HDjWzK4kMiatkuZ9NnCVme3l7r+sssyT0O928CRwG3AFcLa7/760EvUoZWXaiTyopjhkZbMsNdnn84EriXPOT0chA52ZrUIMdX0wE58//Bo4MBsKxt2/a2a3EeebbBiz5YH/Y2avAo5y96Fl7FI9VI+SFbNfvrDlVN0rLqNdZs1SufuNZnY+8Cbif7sNcLeZnUJkFXq6cR6L4VJ3Bt5J/v2R5j+1ymNvyrz7QeDjTBziGsDN7ELg2GJ2PTObBpxJBFbDsueYVYADgQPN7FxiWN1FVZS/0VQLFDKzDYh78W2J+/I1ie1mPvBXYtjm6939vqEVMnc90T6wIvByM3tWv4Em6XvO7l2eSsuuTB23K3e/ZljrLlNd6tGtYWUbSesus71pQptSm2W7uz+/xd/6Upd6lEwdUmUg0jXkWeT7jjPAjnmlcne99BrIiwheWEIMk3Jxi2nmF6Y5pMPyLi1M+88llrNYhq1aTLOkMM2Gw/7ftinj4kJZq3xl61k87HpP4v+1UbE+Q1j/rWndi4BZw/5/TKIerytsE18fdnkmWZejC9v2/cBre5h3vzRPtk29d9j1GdVXYXsZxPFKx6rJr39m2raL31mz91/tsJzTCtPfMeA6HFl4rTzs73QUXsC1he/jwwNed3HfnEcMvdnL/M9L8w1tHwc2Ja4fm+0LvyYCKM4iGiEuJIJonmmYdgmR4fEFQ9wO3tRQ9jMb/t72+EMEWfyy4Zi7w7DqM+ovogHkribbTOOr+P+8FFirh3VUds4AXl9Y9h9LWN6MhmPREqIB5nUV1+PVhWX3dB1OBJXf1/BdzQdeMejvo8ttodfX+sDMQZazi3o80WTfaHYt+RRwDdFY/HLAhl32hnq8uMn+v4QIsGx6bUI0Vn+/YfrsPPNi1UP1qEM9gAMa9uumz+S6XNbLGpZ1wIDrshL5dVHjuf7JhrLdRZzzGq8llxDnxuUqLOdyRMbedvfji4kMl7MK853W8Pd21zGLgR9VWY9UJiOC1x9uUo5ngO8BazfMMw34WkN5m9V/MRHYP33Q+0Wb+u5DDLXZ7v9ffM0F9hmBcp9f+L++axLLeXdhORdou9JrqryI6/Sl2+CA172kzTZd2bNc1WMg29TIl7OOL2AtIuvhScBXievy89P7k9Lfun4GNMov4ppzH+DGhvPjb4Zdtn5fliomUrk0fvC1RETa3e6+WZNpriNPs3+mux/dYlnTiZR/a6Rpj/WSxoA3s/8hooCdGDri/zSZZkl668DGPoLDS6QyDnIHNyISd7mOU44gM9uIfIiSgdfDzF5HPHBw4Jvu/o5Brr9MZvYV4D1EXT7m7icPuUh9M7ODiAbR7FjzS+IB5Y3EA6Z/pElXJRpYtwMOBbYm9omHgfe4+4WDLfn4MLMFRKOaEen631nRqmaRZ4XQsWpyZdiC6AG+DhPPM1lvh/8Gdnf3pr1EzWx54I/kQ+Kc5u7vr6i40kFKy/kH8oxCb3f3bw1w/dk11TeJYVnaDQ/aahkrAF8h70E7jPP4zkTjxOrZR4U/N8umUPybEcE1b3D3a6sqYzfMbB4RNJD1er8BON7dr211/Em95Y8APkkcFzI/dfd9Blb4MWNmc8iHj4DWPcaKf3fg98Ae7v67LtZR2TnDzDYF7i6UcRPvMdtfk2WuDFxCZCjJ9o1FROa04lCuZdbjbUS2Bwdudfdtepx/Q2KooRcUyvwosK+7X98w7dDP4eOuyT1ucb+5m3zYp6s9sg2NJDN7jDQcHPl2/iF3P72LeY8j9oesx58RQ//8L3f/bgXFbVcW1UP1KJWZrUk861suleFGYCd3XybjS4flrEAE2b08fZQFUD5cYnG7KcfaRCPJrix7vndoeu4vTvdTovPhP5pMV1YZvwxk92LNrkmK5bzC3fcwsx2J/2/j9POJ//Xa5Nk6svmduKb8YumVYGkGoAuIAOB211T3ENvUn9N8pxHDPmZ/b7mK9PcfE9mgFpdR7n6Y2Qyi4e2wQtmgdfkbv8/ziX27MZP8QKRryFuJLDaPEte1N/e4jJcT+8dMIqh2a3e/q4KyTpntqpMRHuaqJ3WoxzDvKSpob2r33CT7e+l1rEs9ylKX+9RhZnfqVRoO9H3Aa5iY4ayZJcRzklPd/aqqy9ZOyuTbq2cRz0pfQGTMbNxfDnf380so3sApwEYGxszWIIZ8yoaOmNF4k2xmXyKiwgEeIR7ULnMDbGbHkg+94sCe7n5FSeX8JtGrHSL1+VHAnOLFVkOAzWwfjTSbEzRcKFSd4m3pDfMYn4CHfiFRl8CUlF74NCIDjBMPur8AXDvKN4tFZtasnJ0eWvQ6XTPu7nUZdq0raXihndKvC4me0qVvJ1Xv4wMelu+56f3QjrnpnP4R8swCEA1b5wGnt3sIbmZvAc4pfLS3u/+0oqJKGykt538RN3QQx60t3H1gQ3aZ2RNElq+zS1jWW4lAmxWHdB5/HjE02ivTR92eL34OvGUUArZTHX5B9KKB/KHvX4ggyB3T505k5dmUqO8KhWmNyHS1lReGEhhA2VcFli9jnalhLks5j7v/fLLLbFj+vsDFTLxW/wGx/d5K3CttQgwR8XZiONxiA9cDRCDj3bRRcYDNNCKQOBvirJQOD2a2ItHIsBsTG+WggvsNM/sg8K9pHT9w90P6WMY6RK/wzcnL/DiwnxfS/o/C/ca4K9yHQzxbuIJoYPuZu/9pOKXqXeFe3YA/AQe7+409zL8d0eD3XIZ4L656LJ1f9SiRmf0XkRE2O/ZfBbzZ3f/S5fzrAt8lhnLJlvFjd3992WXtsjwGfDi9sg4GnQIhHiECnk6u8hmKmW1JpOTPGnay89d1xDl+I+J6aBr5+Xgv8gYhT9N9Cjjf3R9Ky10B2B34FyLIKduengA2dfcHKqhLLQKFOkmB7VcTGZoar5HaaQzYvpUICBlKMKqZvZ4I9FkeeIwIpj7DOwwtm64/jwE+S3TUWgQc6u4/rKictdquyh7mChjKMFd1qUe/RijAZlBDClUdYDOW9ahgmKulz5qJTnjNuI/wMFdp38j+LyPZxmJmqxHtZodnHxX+3KlzHsQ17nHu/kg1JWxvEsFpzepiRBvCcZMu2JAowEYGysxuB15Cuilz97kNf3858VA/2zB/ARzmhTHSzewdxMPnZ5Hf/K3jLXrK91HG3YiAgOJF7iLgofQTYHb66UQDQhmRzqWeoJQVojej8MC7DoEpRYXsL1lv/ieJbfERIvK2W+7uu5VcvLYaHt63u7hpptfpJ8w7rvtQv8zsZOJhI8T/bmt3v62C9VQdYFN8oF21sQ5qtBgjfs3CR/8zbj2Gxl3qibcncCKQZWsw4LfuvumAy7KVu99a4vK2AC50938qa5l9lGEP4H8BOxMZ0Jp5GLgS+IqP2Jjx6Xr8IuIar3hcazzGteqJ/SdiWMXKewuZ2SFE9pxdyHvtP0M0Fv0Q+EY/Dx4K5wynggczZnYpsHf61Ykgs6+2mHYV4nrwGCb+zx8igmzubLOeqs99PyZvYOs5+0ub5a5AbIN7M/GerIoAm48RjTQOfN/dD+swS6vlrEFcu7+sUNYngf2ze95RuN8Yd2ZWDKiZN+zy9KtwrzGXeN7Rc2Cgma1F3IfvkT4aVkAHqB6qR4nM7AXAHeQ9XJ3IcvFVokH+Dm94mJ2epWxJZJN9N9HgSpp/IRFA/tuBVKCFFEB6KPG/fRWwHhMbeecTmQN/Anzb3RcMoExfJwJ5i402x3ghs0nKNnIh+bPcOcC+xDPZPwC7uvvvWyzfgLPJOzE6cIK7f77ketQmUKgTM/sR0cmleE34FNGz/Qai00u27awG/BORKf61REB88brqYnfff2CFzwoc2f8AdgBOJ88Y/SAR5FfMGO1EPbKM0QcTw9Ia8Z0dR3zPXemlQ0Odtqu0L36QGDpztYY/O7GPH1s8b6RgpjPJs8S2y7h1LjHc16Im05SmLvWYrBEJsDFiH/0EcHufi5vQpkRke2uq7GcmdajHgJ9DZ0b6HnbU77ctMhteCWzG5IJkf0Vcf/29inK2M4kAm6WLSD//QSQYaPocbFwowEYGysz+lbgQcloMCWFm1xA3mxA73BJiPOIFRBqptZn4IP/f3f0DJZezmLJ9XKNYr6IGWSEGZZTqMc6BKRkzexnR4yrrNdYpVWLLRTH83n+DMNYBE5ORGkezNIAOvNvdv17BegYVYDMoU3J7GSWpAaI4ZMlRA16/0nK2YGYzfUgpzxvKYUR62lnkGWH+BvzZK0hhXiYzew7RIJIN8dTp+JZtSz8DjvQue5n3K2UMuZCJ9wxFWXkfIXqDntnj8is7Z1gMg7SA/GH9We7+ni7mOwD4FrBK9hHx0H4vd/9li3mqPve9DzglWz6wTVkBc6ln6oUs24hU9vdxNNG448SwQn1fO1tkUfoJ0diSXdstJFL+XzZK9xsyXBbZMj8LfLIxUKDH5RgRLPtx4vneoO+ZVI+Jy1E9SmJmRxDDh2bn92IjxJPEsbTY+L4xE4fHyo7BS4jrkoEO19WN9H9eg7gm//ugG3RTwP188uuKK9x9zxbTziKeyxYDlxzY0d1v6LCeZxHZUl6c5rvL3TebfA0mrKMWgUKdmNleRKaNrJ4OnEHs8/M7zLs6cBIRsG3k3+Fr3P3yygrdvCzNnp0Un/O3nb3L6ZrpKWi+LtuV1WSYq3Gvh9Uk24iZnQ8cQv6/fAb4N+Akd3+qx2UNM1Bo7OtRwXPoTm03I/8cepTvt9Mx7BfA1umj7Fr1aaIDyY3A/2NikOwLiGcLexLXi8W2qluA7bxD5reyNXRK79Zi4rr9r8A8Igvt932Eh3TulgJsZKAsz1ADcSO3vrsvbJhmc+B6IvsKTLx4bnz/W+Bl7v5YyeWcAXyDiIzPFHeWfoMFWq6S8h8W1yUrxFQbdmWsA1MAzOxtwH+Qj98+qcUxnACbqxlssMRS7r7LMNbbStVBBGa2MXEDnP2/v+7u7y5zHWk9gwywqTowa8oGZI2ShgwXDDEQsOdZC++L2+xYp+WUapjZ1kQvzN2IQKFmFhA3yKeV3bOsRZnWIdKub8rEBrdlJk0/nQh6OKLbHj4VB9i8mkjtD/GgYcPsAXAX825JDC21XvYR8f/f25sMAzKAc98GxAPd7DsotSd0egh1HnFPVsm5z2KIgmxYgT+5+4btpu9ieTOIxq8dmPjQ7BCiV+RIPvCTwTKzfd390hKXtxfwHXd/dseJS6R6tFye6lHO+g8lOh7NoPl9VqfPHicyEXyvynKOK4usj9kzQgde6e43tZm+8Rnjle6+R6vpG+Y9lAhOyOZd00vK0FOnQKFOzOzn5MHli4hr2wt6XMZBxHeRZYW/zt1fXWpBO5eh2KGtVaBNK71OP2Hebq+96rRdWU2GuRr3etQp24iZvY4I7svuSbPApne7+1U9LGeowRDjXo8BP4fOjPQ97LC3qXZs4tDUEEHgXwE+5e4Pd5h3TeCTxKgXxaxpH3b3U9rNK9VSgI0MXOp9mV28XN3sQbeZvYqISl43fdQsuOUOYlz7+yos60uJh6HbECkoZxBl36hQrgcoZ4go3H3jMpYD1DErxCAuFIbaaF2TwJRdiN7rjTcokzFSF0RTzSCCCMzsb+TDqNzm7lu3m77PdVR9rNKwfFPMsG/cSuitUqu0nFI9M3sesAGRjWd5IhvPg8QwbwPrNWMTM01C6+uM4t8d+D2wh7t3DN6uOMDmbUQgv9PHsEoWafV/RvRmyq6zHgX2dffrG6at/DhlZuelspDKc5D3kH6/i+VPI7IYHJGto+TvY1NiOAWI8m/i7ve2maWbZa5MDNWwE/l3tAg4nolByzqHS2nM7Lnu/qdhl2OyVI/RMux6pPPYacRwK50yVxT/fglwnLfIHCFgZocB30m//tnd1+8wfWND9bHufkaX61qRCAienubfzd2v7qfcTZZdi0ChLta9BjE8aLadf9bdP9Hnsk4ihieCCPZexztkwCnTkAINoLcAm1psV1aTYa7qUI+6ZRsxs9WALwNvY2Jw0jlEo3/HY8qwn6mlMoxtPawGw1wBtcnu1ImZ/Yn4PxsxtOOb3P2/elzG64n23ulpOfe7+wZll1W6pwAbGVlmNhN4D5EW/AXEkAbziRPF94FveUVpB7soW9aI4MDGZT5ELktNs0IMggJTJsHM7iTGkczK/xciGvxnpDR3w9pvpT8Dapy7nEh3CNHLe1V3f7rkdaxPZEfLAoVKC2hMy78KDcs3pQz7u1BaTpmKzGxfIoNLMXjmB0TPn1uJoPdNiIwnbyeC9YvXVA8Au7v73bRRcYBNsefSD9z9kD6WsQ4wF9icvH6PE50Pri5Mp3NGBymA52FgVeJ/2XWDYYflrkikmN+NZXtpD/R+w2LoquXd/W8lLGsFogEDAHf/+WSXKSLSSQryPYLI3rENkTa/aAHR+Hod8O1ugmmnOjM7FjiVODf9zN337jD92sQ9BHSZnaNh/luBLdO8R7n7Of2Uu8lyaxEo1MW6X0sMPwTxvGEd7zObe8q291dgRaIe+7v7xaUUtLv1f3NQ62rk7m/rZrq6bFdWn2Guxr4edc02Yma7A2cBs7N1EsGA73P373eYd2TuVcexHlaDYa7SumuT3akVM9sOuIH8u/qEu3+2z2WdQAQLkpa3g7v/os0sUqEysiSIVCJdJJ2cXqNopKPT3P1eM3uYPCtET71jR9Qghl0Zln8ngmuyC4oHGbPAFIvhrbLgGohghte4+z+GVyoZE58nhlPIrEQE2pTG3e8nv1Gqws3kATYrEDf1pQ/LVxdW8dBjU4G7T+s81dShbWrKeG/6mQUrHNMk+9LtwO1m9nngC8Ax5Ncm6wHXmNnu7n7nIArcxAqF931lwXT3v5rZTsR14suI+q0CXGJm+7v73MkXc2pw9yVmdi3RuxXi4f2kA2zcfWFqDLsI2Jtlg2wqlbKZHkEMO7tS+uwZogH6h8A33P2RPha9LjHEmaeXnimJSOVSwMxJ2e9mtjz5s675ZXfOGKQUBLkxcX3wINEbuZQs2R2sWnjfdmiCpLEXf1fDbhb8gQiwaVz3ZK2VfjrQzbXdXelndk7u+p49ndt/TV6P2d3OW4JsqFYHftFvcA2Auz9mZr8Adm5Y9kB0G+QyZGO/XVkMc1VsfL/C3d/SZP2/MbO9yYe5eh15Pd7cLhOYu7uZvZNoc8iGuXoz8YyvFHWpR8FAs41Uzd3nmtnmxH330UT91gHOM7MjgKNHsWN6o3Gsh7u/KWWTzYa5mg58FDjIzHoa5mpElHWf3E12p0F7YWHdTxBZk/r1ZeCfgZULy1aAzZDoYYhI/wb2gHQSbiHPCrGZmS1fwYOHZ4A/Ut3/4lEGP+zKQNUoMCUL4srS4B82hnWQIUjpJUtNMTkEtzT8vg0KsGlnBvBW8uOegiFksrRN1VwadmcP8u/4rCbBNUulzEzHmtmVwLeIABQHng1cZWZ7ufsvKy52M8WU78/pdyHuPt/MdgV+QmQUcSKQYo6ZHejul7VdgBTNJR9+ZCsz28rdb53sQt39KTPbn+hN+zoGcO+YshtdSGR5gIkPEKcD26XX8WZ2vLuf2e+q+i9lnytUJh4RSdJzrQeHXY6MmU0nAho3IRp2HwCuadcYZ2b7AR8hjsnFwPknzOwy4IyKs6MsKrzvmBnT3RdHkoelnuxxfY8W3s/ocd526hIo1Mlahfd/LmF5xWWs1XKqqasO29Vm5PuaAye0mtDd/2xmZ7HsMFcds1S5+zNm9jnyYa5eaGareXnDp9WlHheQBwrNJDoHTSbbyFJe8pA9vXL3J4DjUkaVs4FN05/2AX6VMm6c5j7aQ6mMYz3cfY6ZXUM+zBXEtchcMzuHLoe5GiFl32MOI5immey5TxYk2+s11FLu/kQKks0C69aZbOGqkq6PX5T97u53DLE4lVCAjUh/Tiq876fn36DUISvEPPKsEM8Frqsik0vjxemA1SUwpdjD4yZ3v2+YhREZsJvTz+xGa1vg60MqyzgZh2BVGS+DzBChxt7B2gbI0vguJk+L25a7X5TG9b6Y6NnlwJrEQ6e93f3GKgrbxgPppxHD4PbN3f9hZnsQ1/s7EHVbEbgoZTDpt1fkVPND4BTyY8eJwP5lLNjdF5nZgUQg/8FUeHxKwTXXEA+Ds2Nhq157awBnpACgI9y914aggVAmHhEZZWlYkQ8CH2fZYavczC4khor5W2GeacCZRMY0WLbxZxXgQOBAMzsXeJe7L6J8xYCXXhr0+z2PLV94X2Z96hIo1ElxSN8yAjBmtli2hDpsV5sX3v/F3W/qMP2PicCUbB+/qId1XUT8z6an37cirrPKUIt61DDbyDLc/QYz24JoN/sQce8+g7jPOtzM3jHELLJdG7d6pCCwo8zse+TDXBnRAe01ZtZxmKsRUavsTg2KgXplBIgXl/Foy6mGbz1iKHeo6T137SokMgjuflLnqYavJlkhpsKwK3UJTClGRI9U2kSRqtV0WL6xlBrSB0HX0VOQGnuH6vnppwO3u3vXvXfd/XYz24EYUukFaRmrAT81s33d/frSS9varwvv1zezjd393pZTd5DS/O8FXEJcMzvRiHUhcPykSjpFuPt9qadiFvA0y8w2LCsNeGp0ORRYSBw/qvJ14J/IjyOteuxlDQ4G7AXcZGZ7pCFYRoIy8XS9rKEFZ6oeTZelekwhadiSC4DX0/xYYkS2gq3NbKfCdcup5JkWWwVCZvO/BVgjZaYru6PZA4X3G/YwX7/B7KsX3vc9vFETdQkU6uSh9NPIM51MxksL7yd93KihOmxXYz/MVVKXetQx28gyUoa5j6UA07OBLdKftgVuMbO+svYM2jjWYxyHuUpqm92p4P7C+9VbTtW9YlD3/S2nGg2jkkWoEnpwKyKjbioMu1KXwJTiCX3lllNNIWa2FnFhCDGsb2lDliiIYCTVYVi+OphN+4bFMg1qPTJkdW7shbFpmFuj8L7nc6C7/9HMdiSGA9qc/AHO5Wa2X8XDMBT9luiZlT2s34foydi3lCZ4H6LH5m5E3aYDJ6PjVFfc/bCKl78EODK9Smdm+wKvZWLwzA+ArxC9xp4hHuAfTGRNWJd829gY+LmZ7e7ud1dRvl4oE09PBhqcqXp0pHoMWLp+2ZjojPUgcL+7PzOg1X8JOCC9Lx57KXxmxLH3XGCPdB1yTJPp5xON6muTDxeVzb8fkY3hiyWX/w+FMjy/3YQFpxbe95p1eXbhfZmNQXUJFOqkOKzC+mmo05/0syAz25PIEJ5RxsNl1WG7qsMwV43LGud6ALXKNtKWu88zs62BjxFZ3panIWsPfdzTD9q41WNMh7mqfXYn4CYiC/M04GVmZv1+Byl74tbp18XAoDMyS8G0zpOIjB4zW8vMzk6vbwy7PFKpZsOu1E1dAlP+m7ynxYuHWZARMoO4SToy/SzTbGCj9LPK13NRMEe3Pg98IL0+SnrQXSZ3v9/dZ7v7xu6+cdnLrxkfwEumgEJj76vIG0KabQvFxt5LU5DlyDKzQ8zsx2b2GPEg8kEze8rMrjezD5lZvz1rsoa5q4ArSyouRONZpq/GM3f/K5HlZR75A/BVgEvMbPdJl7C7MiwBri189PZW0/a43IVEgMXl5HVTYM3U8d70M/vOj3H3g939andf4O6Pu/vt7n4CkannK0wMXlkPuMbMXjLwki8ry8QD+Xbc7FXM1JNl4nnewEvbhpmtk3oqfw/Yl7jXy8qfBWeeDNyTHtD3vSoq3N9Vj95XherR/UrMppvZnmZ2tJl91MyOMLO2Ddpmtp+ZXUs0nM4jnkX8DphvZheY2c4Vl3lL4FgmHoeeAH5CfC83EMPKZNeIu6brjI8UFvMw8D7gOe6+lruvS1yT7Ec0xBTP5f9iZuuVXI27yYe+WTn1em/L3T9QeHUdvGVmM4hAo0yZjZH9BgqdCvw7oxMo1Ja7/xq4j3yb+Eo/9xppntPJt83707JHkpmtamZbmtnLzWwjMxtUwF8dtqueh7lq+GgUhrmC+tRjAnfPOn2cTl6vLNvIxZ3Og+PA3Re7+2eIYIDi0F6bEJ1eTh9KwXo0jvVw9xuIrDtfJIIwIB/m6hcjcs+3lLvPATYDvln4OMvu9A0zW6P5nOPB3R8krhGzrEJvmMTiDgKeQ5zHr0jLliFRgI2MqyobrQdGgUKdpZT5xQj1Og67UovAlNTr/TJSLy0ze2mHWaaSKh9MKohgRLj7Ne5+auG1oPNcUrFWjXJlvcaerkW6UpvGXhjrhrniMfU5/S4kpd3elejpk31vKwFzUhaYQZibfhqwlZltVcZCUwrl/YE59N+DVsaMma0M7EF+DDrL3b/aavoUbHMscCDwePYx8GzgqtRLcyjaZOLZlQhgnAlsBXyOyFZRbIDemMjE88IBF7upugRnqh6qR1UsfIjYly8DTiP27XOA35nZ98xs7YZ5ppnZ14AfAdsDyzHxWmwV4th2hZl908ymV1T8Y9O6M98B1nP3fdz9cHd/FdFQ9KvCNMcQ2U6daLzf1t1Pc/ds6B/c/Sl3vwR4JfAt8u94JUrOgJYCc+8pfLR9mctvsDN5XZ4iH8KlDHUJFOrGN8jPe8+jx8BYM9uMCILfpLCcr5dfzGXWO3ZBdNRju6rDMFdQn3osw92fcPfjgFcD/6/wpyzbyHEpW8VYS0F82wMfIg94MuJZxNjcr45bPdz9aXf/GPF8pzi8WjbM1ecssg+PhNQp5CjiWqkY5PhW4C4ze+OwylaST5OfV04zs547zabni1k2wSXAp0oqW3EdvyvrxcSOZe2WfU+L4ow8G6FsUCJdsxhP7970kIR+yQAAHYNJREFUq7v7cu2mH1WFejjAuNajamZ2OfmwK08Dq5Y97IqZrQ9cT/5dDDQzhJn9CHhdWv/W7j6Ww2Clnlw3EWmkbwB2dfdBjks9Uqo8VplZsUdc1TdcWcPF2B5vpTs22KHHsrTUZe8bC4hAXCOGYnlnWctuMAs4L70f232j6muRcd+mUmPvxSzb2NvNsCsQ6cU7DrsyqGtbaz70StNJs7IQPW26HnqlqrqY2euJIS8A/uTuk+rVlx5mXwbsQP6dPU2M/307FX4fZrYB8dAo+/9f7O77l7j85Yjj08HoHF57ZvZqosEMoofihu7+5y7n3ZI4xmWZEYwIZtvb3ZdJN131scrMLgX2zpYPvLdVsJCZrQJ8gWWHW3mIOO7e2Wy+NG/lx1wzm8OywULNFP/uwO+BPdy94/lT9eie6jFy9VgOuAB4Pe3rcA+wU3ZMM7PTiH0++3vLVaS//xg4sElGg76lss8ngnkgeg/v2WLaWUQwycyGcu2Yepe3W8+ziGvNF6f57nL3zSZfgwnrOBd4cyrTHHc/oMMs/a7n28DhaT3/nQKQylz+/yWysznwHnc/q8zlF9bzWiKIGWAhMLPMbauL9a9C7BPPzj4i7kW+D3yX+N8uaJhnVSJg63DgjeRDvhkR3LaJuz9OBVJgwAeJYVVWa/izE8PvHuuFIWrNbBpwJnmGx2bHh2zfPxd4V1XPHMd9u7IYPvMiovx3unvHTpDpOSNpno3d/Y89rO8n5AHfLa/felWXenSx3uWBk4jgjSx41IlhH99RvK4d53axFCDwNWJ4ywnXKqpHddK1S3GYq2z7ugfIhrkamW3KogPJF4CjyYOonXh+c3SrfXrU9w0zO5oIKDfgz8C73f3iLufdD/gP4lk0wHHuXnr2pEJ70yCD+0buu+qWAmxkLI36wbJbdalH1cxsJ6B4AX1O3TJD1CkwxczeSvSCMeAS4C299N6ok4oDbBREIKUb8IV0JY2+ZnYVMQQMVPjgsy7n8AE0lo71NlWnxt60nrFtmDOzTYnepFn5NvHIdDiZZa5MXKvsRL79LAKOB76UrauixsXziIf2pHUf1MvD3y6WP41IsXxEto5xPU5Je2b2NqJXuwO3untPGT8tepH/jLwRyYjewvu6+/UN01Z5bbsyEdyTZVo+y93f08V8BxCZHrLGbiMyoO7l7r9sMU/V575aBGeqHqoH1Z0Dvwy8P1tH9nFhkmK5r3D3PcxsRyJIuHH6+cS5e23y48fSa0LgeHf/Yoll3wLIOkQ58Ep3v6nN9CcDHy5Mf6W779Hlug4lAieyedcs81lYenbz6fTrY8DmZd83mdm6RAPeiumjz7j7J0teRy0Chbosw/ZEJsQs60BjwPxDxLnUiaCWdYqzk+8bC4lr+wnn+RLLObZBdEtXMObblUVW8Xnp18fdfWa76dM8pxR+PamXZ7kNAUkHeAz5Mml1qUcP638ZcDYxvE/x/vTfiLo8VYdnUWb2LuBEIkMbAO4+dsMAjVs9zOzFxH3jK5h4rXQp8Jo02chsU+mcdzbRQSw7JzwOnACc5g3BDeOwb5jZQUQg6RpEnX5JtLvcCPyGfIjBVYl6bwccSgxRlt3nvsfdL6yofMUO3aUssvC+2XJHNjCtK+6ul15j9wI2ItJgLQEWD7s8U70eepW2PbyVeCi2mOi9sPqwyzSJuuxPpHJdDPyVSFm3PbDGsMs24P9DZfs4cFVh2U8Ay41bHfQavVf2PQ/wVcW+cXJxmwVeWtH/qhb7RtX1GOdtihg6aVFh2V/tcr4DiJviYpn+RmSoG9r2RKQuXtJQrguJtP2rEY3TWwKfIRrhlhSmWwL8CXjhsLYpotHskUK5ji5puSsSwQXF+lZ2jNJLr7JfRO/wbLu9oM9lrAPc0bAfPArs3DBdlde2ry4sexEwq4d5twTua9h35wOvaDF91ee+S5l4LfKeNtOuQvRkbDz2PAi8pMN6VA/VYxzrsSUTr6+y481lRDDJdYW/Z+XfnWhIz35/iBim6dmF5a5ANA79ojDdEiJwZL0Sy39Y4f9zfxfT79jwPXR9/UJcozxVmH/nsr+Pql/Ae4kAsOzV8np4Eut4K3EOuI/IGFT6sxEiYO3xwvd40hD/p3sT9xaN+3e7V3G6vxNBtFWW8cst1l38LHv/szRP476ypFDevxDPSxvnXwx8tKI6jPV2lY4fzxT+T5tX+H3PaPhOSltXXerRYzmWIwIInmwoz2+IjCm1eBal13BeREDDB4jro2bH6ZHapoiMO58nsg0X94cbabimHeV9o/A/bnx+2c0z026na/Z6psdy9nJtUdZrpL6rXl5ZZL+IiAyZu59DjBf+CPFg6Ddm9ikz297MRjb6ucjMFpvZYmIIh9WJi7a1iRSE1wJ/y6bp4fXMEKs0ym4uvF8B6HrsbZEuWcWvqtzS8HtPPfmlUuO2TW1Dnp55CV2Ob+zuFxEPiB/IPgLWBOaa2SsqKGe33pt+Zv+rY9z9YHe/2mO868fd/XZ3P4HotfcV8h5NTgwhc42ZDeV84+5LmDiG89tbTdvjchcSWX0uZ2LPXpFxsULhfV/Xze7+VyKT0zzy/WAV4BIz233SJezO87PiALd7l8NcAbj77cRwb78lL/9qwE/NbIeyC9pOysSTDS3gRCaelsMLpGPvscR9YDZMhxNDgFxlZltXXOSmVA/Vo0LHEtdXme8QATD7uPvhHtkbNgN+VZjmGGLYcCeGWNzW3U9z94eyCdz9KXe/hBgO51vk5/KVgCNLLP9a2SqBltkJC+5KP7PydD0ceLpG+XXho9ndzjsq3P10d9+q8GqaWWyS6zjH3TdIrxd5NcM2HUQ0bt+RXgPNalHk7pcTgWo/YuJ1q7d4QX5u/BGwpbtfWlX5UobuYwvrN6JT2E+A7xFZu5cUyrZrutb4SGExDwPvA57j7mu5+7rEdcl+RPbv4jX7v5jZepRs3LerdPy4p/DR9mUtu4mdybfDp8iPe5NWl3r0wt0Xu/tniIwVxQxpmxAZrEofFkamDg+nEFmSrhp2eTpx96fd/WNEJpfidde2wC1m9jkzW6H53COl2bPL4nmy3at4Pm9cVlXPSo3oOPh+IrCvn9dhDXVtNd2ufZZx6J7VeRIREalaCkqZ8BF5YMrH0zS9LtbdfdDH+WYXCY2fD52Z/W5Aq6ry/98siKDrh3UiLTzK4IceK1sWfJYdf7Ylhq2T4RjnbWpSjb2pUbc47ErW2LvMsCtVa2iYgy4a5oBjzexK8qFXig1zLYdeqdhcIgjZgK3MbCt3v3WyC/VItb0/kdHndZSbElekasXhQp7T70Lcfb6Z7Uo0gGVpw1cC5pjZge5+2eSK2VGxQ0HP1+ru/sc0hMxcYHOi/DOBy81sP3e/upRSdpYFZ0L0/Os6ODPdo1xMBDQWgzP3dvcbqyhsG6qH6lG6NGzMIeTn2Svc/S2N07n7b8xsb6JxcyZxbs4aGN7s7r9vtQ53dzN7J/E/e3Ga781E7+cyrFp4/3AX089v+P3vPa7vD0QwReO6ZYDc/XRGqFHb3e8H3mBmzyOGA30Vsc2v1jDpAuLZ0XXAd9z9HqqXBdFl+/l3iMD+R7MJ0tCvF5J3FGsMotu1cT9396eIwN9LiSFDssC5LIiurH18YAawXd1IPiTtPsBZFa3njemnA/MqCEaqSz164u6/TkPkvJ8Yzm9l4py2L+oUIpPkMfz3bs2GuRpF7j4vBYh/jGgrWx6YDnwUOMjM3k0f95ADVgym6UU/+3q/x4gLyK/VZxJDpy8doq6XBaUhu/ICuV/TR3lGmgJspFQ1abQWGYaxCEzpUr8XC62WU4XZFS+/qKr1KIhAqjCP6MEO8FzguioeKjReZJfJ3e81s4fJG+qUwWa4xnmbqktjL9SkYY7IkHcK+bnvRGJYyklz90VmdiARqHVwYR0ioy7LlmXkjQ99cfd/mNkexFAtOxD7wYrARWZ2CHD7ZJbfQSmZeMxsJyK48WVMzMSzv7vPnXwxO6pLcKbqoXpUYTMi8JpUjhNaTejufzazs4APF6a/0t1v6LQSd3/GzD5HDDkF8EIzW83dF7Sbr0uLCu+XdFGWxQ2dpZ7scX2PFt7PaDmVTEmpgfSk7Hczm07cwxjwsLsvajVvFWoSRFcnVxLZASCOg8uVfS9uZusCb6DwnZe5/KQu9eiZuztwipn9F/A18v+DSCnc/SyqC1orVdrvP2NmPwS+QXQKgTy7U2XZ2Urwc8bgGZO7v8nMzgPOIJ4BTghicveRz3o0SApSkLLNZvwbrRUoJMMyDoEpnYzFxULBOJV1AgURSEVuJg+GyIYeG8fMSLcQPeAANjOz5d396ZLX8QzwRyo6jtToWmSct6m6NPZCTRrm3P0+MzufPIhglplt6O5/LGn5i83sUGAh0RtYZBwUhw9Z38w2dvd7+12Yuz9mZnsBlxDHbyd6CF4IHD+pkranTDyMVHCm6oHqUYHNC+//4u43tZwy/JgIsMmuty/qYV0XEcEw09PvWwFX9zB/K8WAl14yyvR7z7B84f1AgyVk/KSAmr8OsQh1CKKrDXc/Bzin4tVkw1xlSh8+rS71mIxxyzYiUqVxzO7k7jsPuwzdcvc5ZnYN8GXgbenjTYiOducAH3b3xgyNU5Ia96UqY9toncymBoFCMlbGLTClqXG6WCioev+r8nsd+yACGTl1GXrs80Tv+8xKQKn7RkrLPbvMZTaYTT2uRcZ5m6pLYy/Up2EOdz+s81STWv4SIs38kZ2mFRkRvyXGR88aevchepz1zd2fMLN9iMbt3Yh9fjpwMtWdM5SJJxmR4EzVI1E9SrVWVhzgzi6mvyv9zDJbdH0N6e4LzezX5MMrze523g4eKLzfsIf5sjr0avXC+8f6mF9kkOoQRCc9GLXh0/o1LvUYp2wjIlVSdqdqpYDVo8zse8QxZzZxLftW4DVm9j53//7wSjgaFGAjVRrnRutBrkNkXANTxtmjRK8aIxol3lnRemYRQ01UpQ5BBDJaajH0WBrXtS5ju477tcg4b1N1aeyF+jTMiUgDd19iZtcCr0kfvZ1JBtik5S40s9cSDVh7kwfWVHVeUiaeghEIzlQ9ClSP0hQzvjzcxfSNvWP/3uP6/kAeYNNLtplOy4Q4Hj6/3YQFpxbe/6PH9c0uvL+/x3lFBq0OQXQiIjImlN2pWu4+18w2B74AHE2cr9cBzjOzI4Cjy8ooPY4UYCNlq0ujdVEdAoVEZKJ55EOWPBe4ruzxewHMbKOyl1lUsyACGQEaemxkje21yJhvU3Vp7IX6NMyJSHNziQAbA7Yys63c/dbJLtTdnzKz/Ynj1Ouo9t5VmXgaDDk4U/VooHqUojjE0ZJOE6ehG4sfPdnj+orDOc1oOVVv7ibKPg1Y2cw2d/dftZvB3T/Qz4rMbAaRkj8zqCFkZcyZ2arAxkSQ/YPA/e7eV5B9j+oQRCciImNG2Z2q4+5PAMel4drPBjZNf9oH+JWZnQCclrIKTSkKsJGy1aLRmnoGColI7mbyY9UKwEsYnyFLRKqmocdGQ52uRcZ1m6pLYy/Up2FORJr7IXAK+THwRGD/Mhbs7ovM7EDiXHEwFZ27lYmnuSEGZ6oeTagek1YMeOmlMbzf/XX5wvtFLafqpSBxTLmH/Hpqe6BtgM0k7Ex+bfgUebYPmQLMbDox5MUmxNCsDwDXtOspbmb7AR8BtiOCwDJPmNllwBkVD+1ahyA6ERGRoUnn/xdlv7v7HUMszlLufoOZbQGcBHwIWI44954CHG5m73D3brLX1YYCbKRsdWm0rkugkIg0d0vD79swnscqkSpo6LHRUKdrkbHcpmrU2Av1aZgTkSbc/b7Uoyxr8J1lZhuWla45NYAdCiwEjihjmS0oE08TQwrOVD1aUD0m5YHC+w17mK/f66TVC+8f62P+Vm4kP97uQ3U9pt+Yfjowr4p7ARk9FhEnHwQ+DqzW8Gc3swuBY939b4V5pgFnEvcrsOz+uwpwIHCgmZ0LvMvdSwk6azD2QXQiIiJDth6Q3QM7IxTHkTpLfixdi5wNbJH+tC1wi5n9G3CSuz81rDIO0rTOk4j0pFmj9Ti6ufA+CxQSkfrI9vHsJn7bYRVEZNS4+zXufmrhtaDzXFKB2lyLjPk2NTf9XNrYW8ZC083m/sAcqg+ugbxhLrPPZBeY0sTuA1xBXodiw5yIDJC7H+bu26bXy8seC93dl7j7ke4+Lb2WK3P5yQ+z1aWfJ5a14NSQeCARZFPZ0IvuvgS4tvDR21tN2+NyFwKvBS4nP+aqHp3Xp3q0X+5A60EM50Jax/O7nOfU9Pp3Jl7LdGN24f39Pc7bzpVpeQ8ALzSz0o+HZrYu8Aby4+EVZa9DRk/alv6TuJ5endhXiq9pwCHADWY2qzDrqcBR5PuvN3mR/v4W4MIqtlsmF0TXj6qC6ERERIapeO4fOe4+D9ga+ATRgTJ7HvhR4E4z22WIxRsYBdhI2erSaF2XQCGRsWRma5nZ2en1jbKXn3rtF8eD1j4uIqNG1yKjYewbe9O66tIwJyI15u73AecTWdzmkTLxlLj8xcChwLep9lhVl+BM1aMN1aMvd5MPG7OymW3eaQZ3/0Dh9Ui3KzKzGcTQOpnf9VbUtmU6x903SK8XVZRZ5iDgN8Ad6TWngnXI6PkScAD5vti4P2bX2psA5wKY2Y7AMYXpswa5R4CHGj7L3u8HfLiC8tcliE5ERETacPfF7v4ZItDmpsKfNiHuW04fSsEGyNzVuVDKZWZ/A9ZIv97m7ltXsI6NgCytvZfde87MNgbuIb+R+bq7v7vMdaT1VFoPmXrMbC3ihhximzpqmOXpV2HfcIAq9g0zuxzYM/36NLBqSnNX5jrWB64nr8fGZS5fROpL1yKjw8zOIx8GwIGDyswMkVK6f5N82JVKvgczex8xNjJEPbYpY+iVtOzpLDv0iqFtSkSmIDPbgGhkzI6HF7v7/iUufzngPOBgCsMMVvBcRPXobvmqR2/r+b/EdZUD73H3SoZXSsNxZkEpC4GZGmJJRpmZbUl0ssg6RBvwOHAd0UFsI+AV6e9ZsMxewPuI4RU9Tfcp4Hx3fygtdwVgd+BfgJeT799PAJu6ezHrzGTrsCKRSWZaWs+W7v6rspbfsK4ZwALy/0Vl6xIRERmUcXxOm4a3fD/waWDl9HHtnw0qwEZKV5dG6zoECsnUM4jAlEEYxL5hZjsBLy18dM6YDVsiIjWnaxEpU10a5kRExkGNgjNVj+6Wr3p0v45zgTcT5Z/j7geUufzCer4NHJ7W89/u/qoq1iNSFjP7OpFlMrtW/y5wjLs/WphmUyKo/SVpujnAvsCziOv8Xd399y2Wb8DZwJHpIwdOcPfPl1wPBdGJiMiUYmalZUokzunPTe+dPDtcI3f3brPFDYSZPQ/4GrALCrAR6V1dGq3rEigkU0tdGkrrUg8RkcnQtYiUrQ4NcyIiIjK+zOytRO9WiEwXm5fdKG5m6xKZIFdMH33G3T9Z5jpEypQC1ecDq6SPrnD3PVtMOwu4C5iZfURc1+/o7jd0WM+zgFuBF6f57nL3zSZfgwnrUBCdiIhMKWa2hMEPmT6yz9vM7F3AicBK2WfuvkbLGcaUAmxEWqhLoJBMLXUJTKlLPUREJkPXIiIiIiIivTGz9wLF4bLf4e6/HFZ5RDoxsy2A29KvDrzS3W9qM/3JwIcL01/p7nt0ua5Diew42bxrlnmPqSA6ERGZagoBNqUtsvC+2XJrmxVmnCjARkSkRuoSmFKXeoiIiIiIiIiIiLRiZocB30m//tnd1+8w/Y7ANeSNbse6+xldrmtFYAEwPc2/m7tf3U+5h0VBdCIiMkoaAmwGlcVGbWZD9qxhF0BERERERERERERERGQKWiv9dODOLqa/K/3Mhoe6rc20E7j7QjP7NbBl+mh2t/OOCnc/HTh92OUQERFpYMA/gE8At/e5jFnAeem9A7uWUC6pgAJsRESka2b2uwGtSucnERERERERERGpu1UL7x/uYvr5Db//vcf1/YE8wGbVdhOKiIhIRxcAhxABMTOBLwH/Bpzk7k/1sqA0ssNS7n5NWYWUcqkBU0RkAGoUmDKbuFAYRKq7Qa1HRERERERERERkGBYV3i/pNLG7Lzab8LjsyR7X92jh/Ywe5xUREZECd3+TmZ0HnAGsRwzD+FHgIDN7t7tfNdQCSiUUYCMiMhizqVdgineeRERERERERERERNooBrz0klGm32dzyxfeL2o5lYiIiHTF3eeY2TXAl4G3pY83Aeaa2TnAh929MQOdjLFpwy6AiMgU4wN4DYpV/BIREREREREREamzBwrvN+xhvn6fna1eeP9Yn8sQERGRAndf4O5HAXsSwzFCnKvfCtxlZm8cVtmkfMpgIyIyeOOcXeZRIn2sAb8F3lnRemYB51W0bBERERERERERkVFQbIR7fpfznFp4/48e1ze78P7+HucVERGRNtx9rpltDnwBOJo4v68DnGdmRwBHu/sfh1lGmTxz1ygfIiJVM7MFDD4wxd19uTIXbmZXATulXxcCM919cZnrSOvZCLg3/Vp6PURERERERERERIbNzFYkMslMIzrNbenuv6poXTOABcTzyUrXJSIiMtWZ2fbA2cCm5B3jHwdOAE7zhiANtYuND2WwEREZjHnkgSnPBa6rMDClSjeT12MF4CXAbRWvU0REREREREREpHbcfaGZ3QO8IH20PVBV0MvO5Jm1nwLuqmg9IiIiU56732BmWwAnAR8CliM64p8CHG5m73D3O4dZRunPtGEXQERkiri58D4LTBlHtzT8vs1QSiEiIiIiIiIiIlIPNxbe71Phet6Yfjowr4rOfyIiIpJz96fd/WPAdkAxmGZb4BYz+5yZrTCc0km/FGAjIjIYdQlMyQKFstR12w6rICIiIiIiIiIiIjVwJXA/8ADwQjMrfUgIM1sXeAP5M70ryl6HiIiINOfu84CtgU8ATxPn4+nAR4E7zWyXIRZPeqQAGxGRwahFYIq73ws8XPhoXAOFREREREREREREhs7dz3H3DdLrRRVlljkI+A1wR3rNqWAdIiIi0oK7L3b3zxCBNjcV/rQJMBc4fSgFk56Zu3eeSkREJs3M/gaskX69zd23rmAdGwH3pl/d3avo8XI5sGf69WlgVXd/uuR1rA9cTwpIcveNy1y+iIiIiIiIiIiIiIiIyKCZmQHvBz4NrJw+zoI2jIra96QcCrARERmQugSmmNlOwEsLH53j7gvKXo+IiIiIiIiIiIiIiIhIHZnZ84CvAbugAJuxoQAbEZEBUWCKiIiIiIiIiIiIiIiIiGTM7F3AicBK2WfuvkbLGWSoFGAjIiIiIiIiIiIiIiIiIiIiItLGtGEXQERERERERERERERERERERERklCnARkRERERERERERERERERERESkDQXYiIiIiIiIiIiIiIiIiIiIiIi0oQAbEREREREREREREREREREREZE2FGAjIiIiIiIiIiIiIiIiIiIiItKGAmxERERERERERERERERERERERNpQgI2IiIiIiIiIiIiIiIiIiIiISBsKsBERERERERERERERERERERERaUMBNiIiIiIiIiIiIiIiIiIiIiIibSjARkRERERERERERERERERERESkDQXYiIiIiIiIiIiIiIiIiIiIiIi0oQAbEREREREREREREREREREREZE2FGAjIiIiIiIiIiIiIiIiIiIiItKGAmxERERERERERERERERERERERNpQgI2IiIiIiIiIiIiIiIiIiIiISBsKsBERERERERERERERERERERERaUMBNiIiIiIiIiIiIiIiIiIiIiIibSjARkRERERERERERERERERERESkDQXYiIiIiIiIiIiIiIiIiIiIiIi0oQAbEREREREREREREREREREREZE2FGAjIiIiIiIiIiIiIiIiIiIiItKGAmxERERERERERERERERERERERNpQgI2IiIiIiIiIiIiIiIiIiIiISBsKsBERERERERERERERERERERERaUMBNiIiIiIiIiIiIiIiIiIiIiIibSjARkRERERERERERERERERERESkDQXYiIiIiIiIiIiIiIiIiIiIiIi08f8BOCHmFHFw8X8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 2700x2100 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_data_size(DATA_FOLDER)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequence length: 587\n"
     ]
    }
   ],
   "source": [
    "# 2uzx_chain_B.fasta\n",
    "top1 = \"QLPNFTAETPIQNVILHEHHIFLGATNYIYVLNEEDLQKVAEYKTGPVL\\\n",
    "    EVWKDNINMALVVDTYYDDQLISCGSVNRGTCQRHVFPHNHSEVHCIFSEPSQ\\\n",
    "    CPDCVVSALGAKVLSSVKDRFINFFVGNTINSSYPLHSISVRRLKETKDGFMF\\\n",
    "    LTDQSYIDVLPEFRDSYPIKYVHAFESNNFIYFLTVQRETLDAQTFHTRIIRF\\\n",
    "    CSINSGLHSYMEMPLECILTKEVFNILQAAYVSKPGAQLARQIGASLNDDILF\\\n",
    "    AVFAQSKPDSAEPMDRSAMCAFPIKYVNDFFNKINVRCLQHFYGPNDEYRTEF\\\n",
    "    TTALQRVDLFMGQFSEVLLTSISTFIKGDLTIANLGTSEGRFMQVVVSRSGPS\\\n",
    "    TPHVNFLLDSHPVSPEVIVEHTLNQNGYTLVITGKKITKIPLNGLGCRHFQSC\\\n",
    "    SQCLSAPPFVQCGWCHDKCVRSEECLSGTWTQQICLPAIYKVFPNSAPLEGGT\\\n",
    "    RLTICGWDFGFRRNNKFDLKKTRVLLGNESCTLTLSESTMNTLKCTVGPFNMS\\\n",
    "    IIISNGHGTTQYSTFSYVDPV\"\n",
    "\n",
    "print(f\"Sequence length: {len(top1)}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequence length: 252\n"
     ]
    }
   ],
   "source": [
    "# 2x2u_chain_A.fasta\n",
    "bottom1 = \"LYFSRDAYWEKLYVDQAAGTPLLYVHALRDAPEEVPSFRLGQHLYGT\\\n",
    "    YRTRLHENNWIRIQEDTGLLYLQRSLDHSSWEKLSVRNRGFPLLTVYLKVFLSE\\\n",
    "    CQWPGCARVYFSFFNTSFPACSSLKPRELCFPETRPSFRIRENRPPGTFHQFRL\\\n",
    "    LPVQFLCPQISVAYRLLEGEGLPFRSAPDSLEVSTRWALDREQREKYELVAVCT\\\n",
    "    VHREEVVMVPFPVTVYDEDDSAPEFEN\"\n",
    "\n",
    "print(f\"Sequence length: {len(bottom1)}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<img src=\"two_proteins.png\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Task 3\n",
    "\n",
    "Run R script to calculation the deformation energy of a 3D structure using the following parameters. The script is under the folder __src__.\n",
    "\n",
    "```\n",
    "Rscript src/run_deformation.R protein_structure.pdb A 187\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "CURRENT_FOLDER = os.getcwd()\n",
    "CODE_FOLDER = os.path.join(CURRENT_FOLDER,\"src\")\n",
    "\n",
    "def run_deformation(pdb_file, chain, residue_number):\n",
    "    deformation_energy_score = subprocess.check_output(f\"Rscript {CODE_FOLDER}/run_deformation.R {pdb_file} {residue_number} {chain} calpha\", shell=True)\n",
    "    return deformation_energy_score.decode(\"ascii\").split(\"\\n\")[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "23.64189\n",
      "16.97021\n",
      "8.752666\n",
      "11.64425\n"
     ]
    }
   ],
   "source": [
    "print(run_deformation(\"data/1a9u_A/1a9u_chain_A.pdb\", \"A\", 351))\n",
    "print(run_deformation(\"data/1a9u_A/1a9u_chain_A.pdb\", \"A\", 349))\n",
    "print(run_deformation(\"data/1a9u_A/1a9u_chain_A.pdb\", \"A\", 8))\n",
    "print(run_deformation(\"data/1a9u_A/1a9u_chain_A.pdb\", \"A\", 51))"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}