Last Christmas 2019.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "import pickle\n",
    "import os\n",
    "\n",
    "import spotipy\n",
    "import spotipy.util as util\n",
    "from spotipy.oauth2 import SpotifyClientCredentials \n",
    "\n",
    "from pandas import DataFrame, read_csv\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import matplotlib\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Spotify search and cache"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sp = spotipy.Spotify() \n",
    "client_credentials_manager = SpotifyClientCredentials(client_id=os.environ[\"SPOTIPY_CLIENT_ID\"], client_secret=os.environ[\"SPOTIPY_CLIENT_SECRET\"]) \n",
    "sp = spotipy.Spotify(client_credentials_manager=client_credentials_manager)\n",
    "\n",
    "results = sp.search(q='Last Christmas', type='track')\n",
    "items = results['tracks']['items']\n",
    "\n",
    "while results['tracks']['next']:\n",
    "    results = sp.next(results['tracks'])\n",
    "    items += [item for item in results['tracks']['items'] if \"LAST CHRISTMAS\" in item['name'].upper()]  # silly\n",
    "    \n",
    "pickle.dump(items, open(\"last-christmas-2019.pickle\", \"wb\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "items = pickle.load(open(\"last-christmas-2019.pickle\", \"rb\"))\n",
    "df = pd.DataFrame(data=[(item['id'], item['name'], \", \".join(sorted([a['name'] for a in item['artists']])), item['album']['name']) for item in items], columns=['Id', 'Name', 'Artists', 'Album'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Number of tracks\n",
    "How many tracks did we find this year?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5593"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Id.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Unique artists\n",
    "Number of unique artists with a song named Last Christmas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2101"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.Artists.unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distribution of released tracks by artist\n",
    "How is the number of tracks distributed on the artists?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f536ab1ba20>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.Artists.value_counts().plot(figsize=(15, 4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Zooming in on the top 50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5364e24ef0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xiIiIiIjIAqRv0ObuvwVshJe36/F+B/aruV0iIiIiIiJCYfZIERERERERmbcUtImIiIiIiLSYgjYREREREZEWU9AmIiIiIiLSYgraREREREREWkxBm4iIiIiISIspaBMREREREWkxBW0iIiIiIiItpqBNRERERESkxRS0iYiIiIiItJiCNhERERERkRZT0CYiIiIiItJiY1/qDWizCQdfOOrr9x6x4zzaEhERERERWVCppU1ERERERKTFFLSJiIiIiIi0mII2ERERERGRFlPQJiIiIiIi0mIK2kRERERERFpMQZuIiIiIiEiLKWgTERERERFpsb5Bm5mdbGaPmNltlWUrmNmlZvaH9Hv5tNzM7Fgzm25m08xsk7m58SIiIiIiIvO7nJa2U4G3dy07GLjM3dcBLkvPAbYH1kk/k4Hjm9lMERERERGRBVPfoM3drwT+1rV4Z+C09Pg0YJfK8tM9XAssZ2YrN7WxIiIiIiIiC5pBx7SNd/cH0+OHgPHp8SrA/ZX3zUjLREREREREZAC1E5G4uwNeup6ZTTazKWY2ZebMmXU3Q0REREREZL40aND2cKfbY/r9SFr+ALBa5X2rpmVzcPcT3H2iu08cN27cgJshIiIiIiIyfxs0aDsf2Ds93hs4r7J8r5RFchLwRKUbpYiIiIiIiBQa2+8NZvYjYFtgJTObAXwBOAI4y8z2Be4Ddk1vvwjYAZgOPA3sMxe2WUREREREZIHRN2hz991HeGm7Hu91YL+6GyUiIiIiIiKhdiISERERERERmXsUtImIiIiIiLSYgjYREREREZEWU9AmIiIiIiLSYgraREREREREWkxBm4iIiIiISIspaBMREREREWkxBW0iIiIiIiItpqBNRERERESkxRS0iYiIiIiItJiCNhERERERkRYb+1JvwPxswsEX9n3PvUfsOA+2RERERERE/lWppU1ERERERKTF1NLWcmqtExERERFZsCloWwD0C/wU9ImIiIiItJeCNslSN/BrosVQrY4iIiIisiDSmDYREREREZEWU0ubLFCa6CrahlZHEREREVlwKGgT+Rc0L7qb/qsEsBqzKSIiIvM7BW0issCbXwJYERERmT8paBMRmU+0Ifhsooy2tMC2oYz55W/RlmRU+luIyL+quRK0mdnbgWOAMcCJ7n7E3PgcERERESm3oASwqqDJX78tZehv0Vvj2SPNbAzwHWB7YH1gdzNbv+nPERERERERWRDMjZT/mwHT3f0ed38O+DGw81z4HBERERERkfmeuXuzBZq9F3i7u38wPd8T2NzdP9b1vsnA5PR0XeDuUYpdCfhrzU2bX8powza0pYw2bENbymjDNrSljDZsQ1vKaMM2NFFGG7ahLWW0YRvaUkYbtqEtZbRhG9pSRhu2oS1ltGEbmiijDdswr8pYw93H9XzF3Rv9Ad5LjGPrPN8T+HbNMqc0sF3zRRlt2Ia2lNGGbWhLGW3YhraU0YZtaEsZbdgGfQ/9LfS30N9Cfwv9Lf7Vt6ENZcyN7pEPAKtVnq+alomIiIiIiEihuRG03QCsY2ZrmtkiwG7A+XPhc0REREREROZ7jaf8d/fnzexjwMVEyv+T3f32msWeUH/L5psy2rANbSmjDdvQljLasA1tKaMN29CWMtqwDU2U0YZtaEsZbdiGtpTRhm1oSxlt2Ia2lNGGbWhLGW3YhibKaMM2vORlNJ6IRERERERERJozN7pHioiIiIiISEMUtImIiIiIiLSYgjb5l2Fme5rZ0l3LdqpR3vJmtkH9LRORDjN73Uu9DU0xszVzlsm8N+j528ysx7JFm9mqcma2xIDrjWl6W0Sk3Vo5pi2djPYF3pgW/YZIaPJCQRkHAKcAs4ATgY2Bg939koY3t992vLvH4ieAW939kYz1DwFOdff7K8smu3v2QEYzex/wS3efZWafAzYBvuzuNxWUYcAHgFe6+6Fmtjrwcne/vqCMtYHvpPU2TBfcHd398Mz1HwfuBXZ39zvTspvcfZOCbbgCeCeRhOdG4BHganf/REEZq/da7u5/zlz/SODLwDPAL4ENgP929x8UbMOSwDPu/qKZvQpYD/iFu/8zY91e++Rs7v7Tgu1YC5jh7v8ws22J73K6uz+eW0ZdZrYYcb54DbBYZ7m7/2dhORsCb0hPr3L3WwrXr3XOSd/jo8DWgAO/BY5392cLt+O1wPoM/1ucXlJGHWZ2FbAocCpwprs/MUAZE4C/uPtzZrY1sV/9wN3/XlDGwMdIpYw5zi9mdqO7v76gjIH2CzMb9Zzk7t8q2IbDgCuBa9z9qdz10rq3EvvjHC/FZnjfwKmp79LQ+fvk6rnBzJYCznP37XLLSOvVOs7MbEtif1jK3VdP558Pu/tHM9e/BzgXOMXd7yjZ9koZvyXur64i/o6zBiijieNsK2Cquz9lZnsQ9yjHuPt982L9VMYZ7r5nv2V9yngX8OvOOc/MlgO2dff/Kyij1v1BnXu1UY51AHKO9UpZ44DPMOcx8ubM9evc46zQY9v/ll5bJvc6YmbLExnw10uL7gR+4u6P5axfKWdP4P+qx5eZ7eTuF5SUAzQ/uXYTP8DxwI+BHdLPD4mbl5Iybkm/3wb8lLihu2mAbRkPnETsLBA74L4F618I/I04uZ4LPApcAvwB2DNj/UeA24E3VZYVfQ9gWvq9NXAFsCNw3QD/k+8Ad6bnywM3FJZxBbAlcHN6bsDtBevfTJyMbwfe11lWuA2dz/4g8KXq36egjFuBaen3H4DnC7/H1PT7XWnfWrazvxaUcSOwBLAKEcieTdwg56x7Svq5EHissm/+DbigcDumEjdQawO/B74OXFRSRt2f9N0PA/4I7J2Or2MKyzgAuA04NP3cCuxfWEatcw5wVtof3pR+vg+cXbgNXwAuBx5O/+OHgHMG+Fssk47Pk4CbgLcWlrEOcDgwnTh/v2WA/WphYK10jB01wL5Z5xhZD3hP2qfeXfn5j5Jjvc5+kf6XX0h/vz8A30w/vycC2JJt2Ac4mbjpuD6Vs3PmumuM9lOwX9b+LjRz/j4U+G56vDxwDbBPYRlNHGfXEXPa3lxZdlvB+ksDH0rbfy0wGVimcBvWBPZK55pbgSnAUYVlDHycVcqYls43GxLX+f2A38yr9VMZN3U9HwPcUVjG1JH22dIyGPD+gBr3apXj+sj087r0cwRwROH3uISoTL0T2Cadf742L/Yr4E/APen3n4B7Kq9dmFnGusBfgB8AnwQOAs4k5p1+VeHf4nHimvbqkfa37LIGWWlu//TaQUt22vT+TqByDPCu9Ljo4Enr/ALYlaEL71iilSx3/YuB8ZXn49OyFcg4QacT0OrECf5Tg3wPhi50hwP/PmAZN3WvN8D/5IYeZcxxksvYhpWAS4FvMFjAtXI6oWxa3Vcy15/QY9kmwIkFZdyefp8IvH3Av2Xnb7E/8OnSv2V6/yXAypXnKwMXD7gdnyIFObn7FvCJ7p/Ka3sUbENn/+4c8wsD1xZ+j2nAkpXnSw6wb9U659DjBqHXsj5l3Ep0e++cr8YDlxaW0VSF1xgi8HmAuHDfBbx7gP3q46V/y64yio8RYGfiZvxRhio5TgGOBbacx/vFlcDSledLA1eW/j/Sui8HPg78GZg1wPprAP+WHi9e3a558V2oef6ulHMk8L/EvLLvGWD9Jo6z67r3BQqvA5X1tknH2VPAacDaBeuuTLQmfAe4g+iVU/LZTVyLOmV8nlQpXnLOqbM+8FmiFfx54O/pZ1Y69g8v/B5z7IsU3C+m99+Wfg90f0Az92pznJ9K/h/p/Td2/00oqOhvYr+q80MEibv1WL4r5RU0tRscOj9tHdP2YrULmpmtBrxYWMaNZnYJ0VJ3cRoLVVoGwEruflZnXXd/Hsjupgms5u4PV54/kpb9DcjqPuDR7W4bYH0zO5u4WJZ4wMy+B7wfuCj13y/93/8zdVt1mN30Xfr3fDSNB+mUsQtRQ5nrQQB3/ytxQ+nAawu34UtE0Dzd3W8ws1cSNb+jMrPVzexnRM3oMB7dTDcv2Ibzzewu4PXAZelvWdQFLjbJtiC6QVyYlpWOcVjN3R+sPH+YqCAo8U8z251o4eo09S+cue7SPX46lizZhvT78dRlaVngZQXrQ9TSVo/rF9KyEnXPOTeZ2aTZG2S2OVHzXeIZd38ReN7MliGdbwrL6HzvHYAzPObZzP5bmNkGZnYUEai9GXiHu786PT4qs5jnU7fuPSnfryqbMtgx4u7nufs+wE7uvk/l5+Pufk3hdtTdL8YDz1WeP5eWZTOzE83sGqIWfizwXqIGvqSMDwHnAN9Li1YFsrt9JXW/y6EMcP6G6Bbe+SEqQScRN1Per8t4D00cZ/enLpJuZgub2UHEMZPFzMaY2TvTdeloouXylcDPgYsyy/gj8T/s9Ch6rbu/vfB7NHEtmmVmnwX2AC40s4UoO94HXt/dD3f3pYGvu/sy6Wdpd1/R3T9b+D2mmNm3zGyt9PMtosWoxAU17w+auFez1OW082RLBrhnTL8fNLMdzWxjorGiZBvq7ld1bODuP+5emOKB0nHbnu4TtwEmm9k3GPS7zKuotTAqfTtwP9Gf92LgPgq65xA3GKsRke1yadmKxD+hdFuuSOt2ov5JlDXbf5e46dg7/Zyfli0JXJ6x/ve7nu9Hpak3cxuWILr2rJOer1zy90zrfCBt+wzgK8DdpBqDgjLWBn4NPJ3+p9cCa87D/WoM0Td8kHXfT2oSZ3jr0EFEl5+sFirixLclcfIak5YtSfQ5L9meN6b/x2fS81cCxxaW8e10fP1H+vkFcFxhGesTrQ+7p+drdrZpHv5fP0jcgG5DdIl4BPhIYRmfAG4Bvph+pgIHFpaxUJ1zDnHD9iLRFeTe9PhOUnfczDK+CywHfIS4mb2ZGPNS8j1OYagL9xJEMH1jwfq/IbpcLd7jtb5dwtP7Xpu+yx6V/ep/Cr/HNg0cI6d1/p/p+fLE+Op5uV/8T4998/8VbsPPiEDllHSsv7Jk/VTGVGARhtfgl7Yi1P4ug/4wvMW0+6f0f9rEcbYS0d3q4XTO+gGwYsH69xCB1hwtv7n7OdEV+mziWnwq0Y12rcLv0cS16OXEOfgN6fnqwF7zav20zruAZSvPlwN2KSxjSaIr4ZT0cziVHhwF5VTvD5ag4P6AZu7VXp+O03uJe7WpwCaFZexEVKC+luhKfCPwznm8X00kzn03MTSkJfdaOmLL4mivjfD+CyuPFyKGkbxYul+4ezsTkcDsQYivSU9v9wEGT7t77SxmZrYJcByx490GjAPe6+7TMtc3ootQp9biauBcz/zDm9k7iH/4IK2EnaQut7v7en3f3L+s9YDtiKD4Mk/JQAYoZ1kiCU5Rsgozu5weg2Q9c2BrKuN6d9+s5HN7lPGFytPniRPbuZ6ZMMLMbnb3jWtuw/vc/ex+yzLKeTdDyTeudPefFa5/gLsf029ZRjnLExUtYzvLvCBRThPSsb51enqVu988QBkbABMY/j2yEruY2Rqjve59BtWnc82qnpIWWSTzWCb3XFUpZyFgI6Jy6HEzWxFYpbScQaVz1inuvldD5S3h7k8PuO4cx2rp8Wtmb+y13N2vLCjj9Qztm1cOsm+mcl5N9FL4b+KmcNWCda9z980739/MxhI3L0UZHOt8l7pJGprQ1HHWwHYs5e5PNlUWEbAdRHy3rFaAdKx+zd0PamI7XkpmNtXdN+paVvtaPeC2bMmc15GSJDdN3qvhAySTqqOp/crM7ia62N9KpbWx37U0rTuD6EY9x0vAQe6e1bLe9DHSqqDNzLZy96vNbIder7t7VpN/Kus04NvufkMD2zWWGJRowN1ekBWpgc/+AbAFkSjiZHe/a4AyziPGG2VlN+xad9TmbE8ZefqU8fE+ZRybuS3VjG2LEcHw8+7+6Zz1UxlHEd0mfkL0/+9sQ0kmzVoBU2oa/x3w09zgvUcZvbLaFWXSbMII21F6U3sYUft/D0MnVu8XjFsDGeksZZIaaT/P2b8rZZ1M3ETezvDvkZ3F0iJT4jrufoqZrUSM//lTwfpNVVYtTyQTqWb9ygoyLKbhOIy46RgDs7MMLlPw+b8lki8NfK5NXWtOYsDsfKmMW4jsb4+l5ysQPS2y/8Zm9vPK0x4wF1sAACAASURBVMWAzYiWy5LKpjFEF7bqTVz2+Tz9T95A1F4vR7SsXOXuJxeUcSQxoH4vYpzJR4kxl/+TW0YqZ+Dv0rmxtsjStxPRunKlu2+Yse6n3f1IMzuO3pV/o16nusoa+Dgb6fNLt8MayJprZt8kAuiliIQmvyX2i3sKyrjW3Sf1f+eoZUwiKsdfTbTmjgGedPdl+6w3i9Ezm5acc6Z1V0Dk/p/N7Gh3PzAd6732rXcWbMcZRAKmqQx12feC/eJY4Mde3o27WsaixP3VBIYfp4dmrNvU/t3EfvVbd9+6/zt7rnvYaK+7+yEFZf3O3bcYZDu6je3/lnlqJ6IlqleKVSezn3ayObCHmd1L3Jxnpyeusjn7ur/KzPqm7O/sLD1OKkUnE3ffw6LP/O7AqWbmRHeOH3l+et7lgdvN7HqGByo5J5Ib0/ZXx7R0njvRZN3PuMztHJW7d/cNvzp9pxKdmrTqyceJ8Ta5Pkt0Kem3bCQfJm42XjCzZyjYJ8xse2JszCrp5NyxDNHqly3t218jxn9Z4XbsDvw7sKaZnV95aWkiC2WJXYkuOc/1fedwnTFw6wKbEl0pAN5BZMjL8UPivNPZzztK9u+OSe6+fsH7h0ktuBOJ73MKcfPyA4Za6XPcZGab1qmsMrMPEt2mViVuHCYRlQy5x8jRRHfsWwetlCCyNl6VKpyq56ysCp7KdryNtF+4+y0jtXqN4pvA7yzGEgO8j+hylM3d31F9bjFG++jc9c1sfyJb4cMMjbV0ooIg19uJtO7HuPtfCtarOpgIEm4lzmEXEckSsjXwXTr3LDsSmVWfsDmnXRtJp7WhdJxoL3WOsyY+H+AMIrnP24jr2QcoGBOX/A440oePuy91c7oGnM3wYzV76hiiq/5uqYyJRMXAq/qt5DEWrSlTLMagfSc934/88WhnpN/faGA7JgLr1zh33gh8zszWJboG/tjdS/e584ipqW4E/lG4bueztiKGT/wkPX8fkegmVxP71RfM7ETgMirfI7OMnw7ao6GHqQ18F6BlLW0wu2vOO9z9vJrl9OxqlNMs2lXOhURL1+Vp0bbEjrwmcKi7nzHCqo1KXZT2BA4kTsxrE/17j8tYd5tey939N41u5FzW1RqyENHv+lh3X3cefX4nYNqVoRMRRMC0vtfsdpm5DRsSgeehRKasjlnEGMns+UPMbDpxrBV3nUjH15pEn/2Du7ZjmkfCntyyzgX+a7RKkD7rX0nM9zcrPV+a6FJceoNei5mdBHzTB58zaSoxh9dNnZbKXrW/fcq4izg33MeAlVUWc/VsSmTg3Ch1tfmqu2cla7DoxrydD9ilO5XRs5azsHZzWHe+tOyWnFaZrnLWZyhg/fWg/99KeZ2pTrIC/HScbu7uj9b83PHE/xXg+kGONzNbhKGb6eJeJ3W/i5kdAexCdI/cjGg1vMDdSxJBVctbiGiJzZ7/L63XxHFWt8dGp5vqNHffwMwWJlrJslsn0vf/d2BNdz/MBpt/9ZQei0t7GExx94nV890APTbq9lJYEjgE+DeiIuFS4CteODSnUt7yRLKv0u7pZxMZcx/s++bRy1mBaC3bDVjd3dcpWPc2dy9N8tZdxrXA1p17gdL9s6H96gfE9C3FvV/SdXBh4EdEI8nvcz+3R1m1v0tH21ra8JhI7/NEpF+nnPu6DuJxRBeAUmOJuRUehtkXvtOJlrwrGaphmYM1MJ7MzN5J9DVfO33uZu7+iJktQdRa9A3amgrOrEaXqbT+BCJ7XKeZ+Grgk+5+b2YR1Va/54n5N/bN/fy0DeOBrwKvcPft0w3ZFu5+UsbqfyFqkd7J8Bq4WcQYkdxt6Ex+2blQrkak3u97ofSY8PkWM/th54apcnEomvAReHiQgC1tx33EDUsTTf6HE7VqtzG8Niy3S0nt7HoAZrYKkdK82h0ke/8mjs/fmdlDxPcovZF7zt09taZ3biJKvW2Adbo96+7Pmhlmtqi735VqbXN9mshS+xuG/z+zJ4PuBGfp80trejuGZecjWg8H2d9XAJ7qXEfMbM3Cm8Fqd6HOeMGS8Zr3E7XeA7PIxPkNIrGWAceZ2afc/ZyCMrYlErPcm8pYzcz2LjxGan0Xdz/YopvmE+7+gpk9RUzPkM3MfkgkEHmBSPm/jJkd4+5fLyimieOsbo+N7qy5D1GeNfc7xM3sm4kuzbOIoRibjrZSlUeW1bqeThUCU9P/90EKshU20UshBWcHm9mSNQK1K+ia/N3MiiZ/JxLU3GHRi2iQ62HH2kTAsgbl571rzOx17n5r4XpVyxMV2p2eN0tRkLG2of1q00Er9d39dWb2GiLovcCi19yPiJbLGYVlNfFdgBYGbcnFZvYx5hx3lD2YvMdBvDDlXY1glJT9ZjZqLWO6qNxtZqv7AOPJkvcQk10OuzC6+9NmlhWwWO/+4k95WX/vul2mIHb4E4hMjBA1fD8i88bf3dcs+KyRnErsD51xGL8n9rO+QVuvgGlA32X4hfJJ4uKZfaEELk0BffXicI27ZwePRHeQnxApn4u6DlhD3X+T04humsMGCxc4HbjeIvU1RE38aSUFmNnXiP3yDirjCIiKmVwnEa3hg36Psyym5ljOIr36fxKT3pb4srsP615uMUaiV5fzkcwws+WI/eJSM3uMCNBzfYXYpxcjzjfFzGwzhiaW7YxH+6C7719QzEeIudFWIeawuoQYh1WyHU1cR6pdk54nam2vLlj/HuAKi14fAwXBwOeIG5hHAFIl5q+IFP65vklkHb47lfEq4vz9+lHXGq6J7/IK4N8sxnR1ZCdpIHpF/N3MPkBkzD2YOIeWBG0DH2fWXBf3E1KF3SFEF+ClGN77Isfm7r6Jmd0M4O6PpeApmzUwto74u40BPkZUgK5G3Pvkehepl0L67L9Y9LjIlip4TiT+jgONgSWyT/493S+d7u5fMLPSBDVfLHz/MCnofRfRxfwnwGFemPSNGOf4H2b2JwargITIonmzRc8LI8bTfjF35Yb2q2vMbP1Be0d4THdzCHCIRU6F3Yhu+39295492HpJ58rjiTmbX2uRsOyd7v7l0m1qa9DWiUr/h+Hjp15RUEbtgzi5wswuYKj26z1p2ZLEoOx+6ownw933NrPxFgPJodKtxd0vy/wOA/UX73IAQ12m3mSpy1RhGUu6e7WZ+FQz6xtkWJ85dHKCjIqV3P0sizldcPfnzaxk3j2Azczsiwy1ynROaLnjn2pfKGnm4rAMMf3CWyvLnJhQeVSeBvd6M2MKnvaysUrd2/IVM/sFQ1kw9/Hyvui7AOvWaNUBmOnu5/d/W2/u/g0zewsxueu6wOfd/dLCYl5TfZJa+0tuqnH3d6WHX0wX3GWJTH25XlG3aw0xjcROpHnAPMajvamwjHXd/QPVBRZzD5UETLWvI+5eVIHQw5/TzyIMGAQDC/nw7pCPUj7v0sKdgA3A3X+fWjBL1PouKYjelhgrcxGwPZE8oyRoWzht9y5EsrJ/dlq3C9Q5zhrpseHunfGEv6Fs7G1VE3N61R5b50PDVp4h5lIt1UQvhaOoPwZ2rJmtTAyhKErQA7P3oy+6e+m5ruqPRO+hv9YoY/sa6wKQeib8gqE5bD/j7iXz8jYxZnMS0XpbJ/jsWIa4Fi5GeW+B7xNZLL9HbMC01OL/rx20WRrY6+4rN1BcEwcxxGDUasr+0xlK2Z9zYGWPweiliW4tAO4+3czGuPsLwCkpYCiZOHLgLlMWiVQgukwdBPyYuEi8n6FJE0fzjlFeywoyKp6yGB/Y2S8mUX4AnkRcXG+kbKL1jiYulLUuDlCvyd4ayCpacZWZHU5cLKu171ldyCzGYfyVGHQ9e1lh6/Y9RCtKnaDt5nQi/jnlLZdjgF+li3VpoEaqhPh/wOJm1hmfY0RX0RMGKK8zBcOs9PNa8rv0XWRmb3X3S0o/t2Ihjy7u1WWlx9pxxPxo/ZaNpvZ1xMzWIboAr8/wGuOsG213H+QmttsvzexiomUM4txbktgLomX+RKKlEeImqijBQQPf5b3AhsRccftYdHcvTff/PaKL5y3AlRbjc7PGtDVxnFV6bIzvDujN7ACidXi0baidNbfiWOK8+TIz+wrx9/1cwfoAa7v7+8xsZ3c/LZ0DryopwIYyznZXhOb22GiilwLufn/Nc05n8vffeuHk7+nzXzCzF81sWS9Ms29m63lkF7+BaClcvavs7C7ZnSDazF5G5ZxVsh0WU+hAdIkGeIWZvaJgO2rvV0QCpoFZZCDenUisdTdx/vyMlw9FWcLdr+/at4oSx3W0KmgjTqZNpSxv6iB2ogtJUZBUWb/ueLImurXU6i+e1OkydTvDM1AeUHnNiYvgiOoEFz18gggO1jKzq0nz7hWW8YS7/6LGNjRxoax1cYDa3Q+q4wtXJmqPO//f0qyLncHm1QHKJRk9L2Soi+biRIKUu+mqDe/FhsYbPU0cH91ZprLTgKfP/geDtVwOfLFO6x8OHG5mh7t7SWXMHGyEKRjI/3/8F3CQmT1H3MwO0mX2fosukp4C2v2Jrsx9pQvtlsC4rhvcZYguWCWauI6cQmRMPIqo6NuHsvE644hxgt3HaXbXdHf/lJlVKx9P8MI5GYn/635A55i4iujqna2B7/KMx7j351Nl4CNE5UK21Kpfbdm/L7cVt8njjOj90j0P1H/QJ2ijmay5ALj7mWZ2I0Nzeu3i5eOcmxhbVyvjbEO9FGqPgfVIInN25fk9lHXzhOhafquZXcrw3ln9rkWfACYT3Zjn2DQKhrJYDL34JtG77RGGxsX1vaY2uB2196uawee96TN/TNyD10kM81czW4uhivr3EvfhxVqVPdIanmcqHcRvJU5GF5ccxDby/B8A9LsBsRhvtoKnwc0WE/Utk7blU+7+v5nbMWyeEItsT7d42TxBaxAplhchWoiWBb7j7n/MLaOrvG1SGb/08jTtA7N6SUQ6ZRhx4zZ73j2iVj+7hcUig9kY4ma8uGUoldHI5Jd1WGSpuosYWzi7+4G7HzDqinOW85JMQDqSVMP3UXf/YMZ79x7t9Qa6tmWzSG+/MdHSVnKxrpaxFTDV3Z8ysz2ISrBjvCBrrsWEpK+bl8d2j214GXFj/W9p0a+Aj+V0+Unnp22JMW3V8+ws4OfuXlq5MfB1JK1/o7u/vnou7yzLXP8SYmzKQcR32pvoivuZku1og7rfxcy+S1Ty7QZ8krjBnVpSsWeR6GwOnjEHVaWMgY8zG5ouZWuGtxwsDbzo7ttlbkOtrLnWQKK0VM4HieQlryPGjC8FHOLu3ysoo3bG2bosMk4eQ5xzjBgDe4AXZDq1yBLYa562koyHPa9JudciM1vM3Z/tt6xPGbcQwdWvPDKUvgnYw92LEr/V0dB+1TP4dPecCt21RrpHNrNveMFk2alS/QSiMvExIoneHp6fhG+orJYFbY8Dvx7pdc9MOd2kVOv8ING/tpP1b2V3H3XAr5ndALy9c8DbUHrexYgLf9YgRjP7OjGHTbVby7SSC7aZHeDux/RbNsK6jXWDSwHn25lzwsbcybV/QUoi4u4bWkx6fnNhAHty9QRq0d3p/NwLZVrn8h6LPbe22GJC05N8gMGx1uwEsbVTRqdyale2mNmOzFn7nn0T1aO8oslv037wrEf34c4NzaJelvyo1sDpuhfrVMY0ovvYBsSF7kRg19zzTSqj7hQMA2dHrZSxnHcNnjezNQqDz6L3zy1mdg1xg34OcX17ADjCM7OaVYK+ajr0G9w9O3GR1ZuT8XJGrsD0wnNn7e9SKWsCsIyXp1T/ZOXpYsTYyTsLb6wHPs6soelSUuXKBp0KR4sJkafl7ldpnfOA/X3wRGlYj2yqvZb1KWNTontkUcZZazYhVm0WrdkdixFjYv9Scl1O5Qw8tUav63HpNdqGpmC4BdjYo3W7aLqUdIz8CDhrkAaChvaruRJ8WiQiWb3/O+dYb0mikSB3juU5tK175EyGJjasZYSWsieIPvif9Gi2zvHOrh31+LQj9MvSZF01NGcDeIwLWzzzszvdWt5NXPRhsG4tezNnl4v/6LGsl2o3uNWJWgIj5sf5M3HxyXVeKmvQ7HpNJBF5wMy+6+4ftRi3cyGF3Z283iBhiG4G309BZ2ei9NwucU1OENtEt5bazOx/gSWIrmMnEt1FS27wq13gFiJqvUsnEL6MqGF9Mj1fnKhp3bKgjFoDpxtq1Xve3d3MdiaSLJxkmVlmK+pOwdBEdtSfm9n27v4kgMX42XOJsXWjMrOj3f1A4NvWI8FEzvcY5Waw41Hg6+6e0z3wAGL//jjx93gzcU7O1TlOH0yVG38hpiEocSQDzslItIp1m0R0cywN7Af6LjY0Pqbna142XmdYty0z+wbR1bzEwMeZNzddSq+suacWllErUVpyLnMOazmHsgRIA2Wc9QYSYvWpCHUiZf0PcgIPdz+3q+wfEYlySrZnWwaYWsPMXk5kyl3czDZO60L08FqiZBuIe4KliOzJZ5rZI1T2j0zvIBoZzjKzF4kW9rMKKgia2K/+6e6PmtlCZraQu19uZkcXrD8S6/+WypujQuU9pAYLS2PbBqmYblvQNsvzMyL2czQwA/gh8QfeDViLGEx/MtF9JsdTFqmBO8kzdidv512u+sTdvwqzW5tWyvzszro/BX5q0Xxf0lTf6YaxpsVs7B3VuTP6ffaaqazvAz9z94vS8+2Ji0SJCSWtHz3UTiLi7oeY2ZEpUHg9UeN9br/1utVpGfLI+nViuhHdB5hmMb7u++7eqxWvuu7P08OnvcfErAVfAXqnjM5KnNMVKL2s63npYPgtU0vfNHf/UmqJLBkzWL1gP08E4qX/08U6AQKAuz9pMRdiiYEGTltM4jlaV+ySTFezUqXGnsAb0vmmNMNf3SkYmsiO+nUicNuRqHE+k/xpCzpzZ36j8DNn63czmM5D15Axpsvdb0gPn2QoM3KJL5vZskR3wOOI83fJ1B5Qb07G2RkOLbqeHkKc9z7i5WN7B/0uvcbHzN5Eyqae6bYEMZVNiYGPs6Zah7yZrLkDJ0qz6OL/GmBZG57heRkKxw/RQMZZi94R4xneiycnQOhXEboiMRQiu5WpYh3KK0IHnVrjbURl/KqpjE5g8Xf65A3oYWcik+d/E5WPyxIVkdlS5cSRwJEWyZgOIa4ro44rbni/6gSfV1EYfNrIvcw6PRVKnEfcq95IvWRnrQva7u//lmzdLWQnmNlUd/+MmZXswP9OtEgdQ5xgr07L+rnEzL7s7t0JJg4lavBHlQKSI4jg6jDiRmQlYCEz28vdc1JwX0N07VyJ4Re9WUBpevhJ7v6hzhN3/4VFUpMSF5vZm919xC6wfQycRKTr4L+OOIFcTww6frcXTBtQt2UolTGGmPhyPSLz4S3AJ8zsw+6+W0YRdSdmrZsyunoz+/2u56WeSb+fNrNXEBUT2RlkvZnsek9Va+wt5mR5ps863QZtuexM57Ff+t0JOvZglGBuBO8nzk//6e4PWWQQK5l/CmpOwUAD2VHd/XyL7rqXEDcM7/HIjJaz7o3p8yd7V8r/QVjM19S5Mb7S3ael2ttt+6z3c0YPxnOnfbkgPXyCvIzFvQw8JyOAmb2NSJb0D+Ar/SqXRjLod2mgd8NsXZUkY4jrSGmN98DHWd3WITNbxmO6lxWI1ph7K6+t4BlDFsxsbWLOqN90Ld+a/AQJ6xLnruUYnuF5FvChnmuMrFbGWTPbn0j28zDDkyf1rfDqVIR2ejqkm3yqlXgWk7jnbEcnEO9MU/UQUDr2dKCpNdL2n2Zm7xmkIrqrrM73fdFiTsVH3cvHUll0BX5/+nmBaJ3vp8n9amfgWeBAyoPPai+zbqXjvVd191qZLDtaNaatSWb2OyJbVyfL4nuBT7j7pBS8bTSXP39J4oZ+U+KGHKKmZgoxSeyTI62b1p9C1I4sSwxg3N7dr021ED/ygsQPaVs6WbdeRQQKv/CyftIXE7UV1XTPb3T3txWUsTPR8ukMzyqX3dXHokvh7CQiud/BYoDwSNwLxzNUWoY2SCf5X7j7G/quHOsfRZyUfk2Mbbu+8trdPsqYBBuamHVXortBxzLEpLGbZW7DNsBjHvOF7EpMfDkdON7rzVVWzMwOIWrdtyO60Tlworvntvq9iujCNYHhtawl2bI2JVrTO1kwXw68v9rKkFFGZ+D0BkS316WILGa5SYfmSOhiA4wXTBfKddz9V6m1cIwX9KE3s28RN+eDTsHwAeIivQnRavde4HPdLcMjrHsUQzfUBryF2C/vSdswarrzrrJ+C7zZayRUsUjB/iGGMoC+i+iiflzGuqOOb+q+Ye6x/mLE3/ExYhqJTxPB4x+JCXOz52Ea4fyXdd6zGJ89jghKftejkL77Rd3vYpEpcrynJDKpV0FnmMHF7v5wv22olLVG5enzRCtkcfrtQY+zUWrwgf7jxM3sAnffyWLuqV4tdX0r4Czmnv2su9/atfx1wFfdfbRpdrrL2sLd59gvSqRgZ0nifPNPClsdzWw60cKf3ROpRxmvJSrMVkifPxPYy2OC5XnGzE4mAs/qvdaY3HsUM/sqcKSnMcEWvWk+2aMBode6IzYWEH+L7Pk6zew6ovX5bOAnnj8kqbN+7f0qlfNyYDPiWLnBy+aKa4SZnQAc1328DVTWfBy0vZJoHduC+GddSzT1PgC83t1H7WdsDSV8SNvRyVRzh2cOyKwGlmZ2p7u/uvJaUbY+i5S+byD6r19NzOPxXEktdLrQfIG4uYdonTk0p1avUsafiH69w7pdeUr+kFnGlsx5c541sWqqff+4ux+V+3kjlHOdu29uZtcSaYofJbJwrZ25/j5E3+45au+sT8r3VOu/EVFbVB1XOQu43DPmDzGz7xCBxWJE9syliMmTtyIGydZunRiURd/vxUb7G/RY5xYiS+CwefNKAq5UzsJEhQAUDv5ugplNBfZz96vT8y2B75ZUMFmkpZ9MZK5dy6Jbyv/6PEy0k8oYKDuq9RkX5GWZYk8HXk0En9XxOtlddy0G02/ROVZTBdjvPKPLamphHOddCYcsst7OdPeZfdY/i7iBXZI4d99GBDxbAxu5+06jrN4YM7uCoWtgd81z1n5R97ukm55r3P3U9Hw60YV6cWJ82UcKvlLnRnY1hl9HSrL/DnycVYKtXjX4uUGXAav5gAlEbJTkL1aexOlIYpLgZ4jryAbAf7t76fx5A0vnrLcMEnxXyriGSHJ2eXq+LRHA9h3XbKOMuYTifWtRotdFJ4/BVcR1IKsytU7lX8ONBet6pcWwVBP7VapI/TxRQW7ANsR968mZ648FXnB3t0iotTkw3d2nZq7fadUfS3SVvYeak3y3rXtkY1JUP1JtUc7A0EYSPqTtKKphSKrdibq7aZVG2ubuT6cbou+mYDRrp5v9gRGcHQCzg58l3T1rQtKKGUS2x4FqCszsDGJc4lSGbs6dGJDdl8dcWLsTLbB1XGAxZ93XiTGSTrSqZnH3U8xseTPrHhN3Zb9gxd1vsUgQ8TYfPHHFm9x9/VT7/QDwsvS3+R7l3WYb0R2Mm1l2ME7ctB1f8/P3A85099vS8+XNbHfPSzTRKaPulBT7AidbjPkxolUiuwU42Y+oVbwOwN3/YJE+v8S+3bWiqfKpxB+IsRSd/2fWZOclQVmGP6afhRi8+64xfILdF+h9s93LcfQe87Yi0dWwXzf79d39tenGYYYPZSb8Zaqo6CsFF1ek/cCAk4iKs/uAvT1jDJS7b5vzWX3U/S6bAh+uPJ/l7vvD7BbVbDY0D+EfGR6MloyLG/g48zROvI50E3khkQ59EMuN8lp2orTkre7+aTN7F9FV891EAouSm+vLugPeXstGcQ9wRfqbZGef7LKkV7r9uvsVqZImxxSiIqLTYjysYoOCfSsFZ99KP4MYY2aL+lBW0cWBRTPXHeupi6qZHeru16Ztusss97QX3P1uq5cVuvZ+BXyKyH7ZyeLeGYvcN2hL586vAU+mc8aniPu9jS2ykH8t4/Mbr1hrZdBm0RXvm17p32wp419BGeOIbi0TGF6blnUT5O4/T8HJ67xgPoYGbWhmfycO/sXTY9Lz0sGYZjHh7AeIG0MonGTWIqnCR4iblhuAZczsGE/z0GWaDvzazC5i+Ik1d/zMROLiX6d5+Goz+zbRtbBa+16Sfeyw9PBci24mpS1DHyQC4FWJAHQS0e0o68SeAqzVzGwRH6zr17OpnGfN7L5OS2e6EZinrUtQPxgnElZ8lJiwvLpfZbcCAx9y99mZaz2SZ3yIssmDTyVNSZGe/57Yz7ICkdQyuGEK2ijZpyr+4e7PdS6w6Sa59Hg5hzmzdp1NZtYuGz6+pBPkZI0vqZSxFpFRbn2GX/BfNeJKXbyZsY6nANfZ8Ax9uYHl2t4j45u7X2VmOZUMz6X3P29m3dlQc3snHMBQRsHdiS76ryTmAzyWobF6c1vd7zK267xfTUozWgDSy67AWgOeOzuaOM6wmEeq03vlCh8a85fjJjPb1IcS3ZSYYmYfcvdhmZPTtamohwJDCVh2BM529ydyb/BTxeESwEqp9bOa8XCVgm34c/pZhILsk13useiqXx1TnFvh/gmiG/gzRDf7n3mfITDdrLmEVGcCl9lQl+h9iG7qORprLLD6Y/8H3q8qHiV6IXXMIj+Z34HEfcnSRCPOGu7+V4uu0DcQAd2ofGhy77WIyqp/pBbcDci/vxmmlUEbkS3s8+mE9JW0rGjuKCJby1XEpKylaeGB2TfHWw2ybl3uXhRU9XEgkaTiZ+5+e6o1Lx1Ivr7H4OcPEN1SDiZO7iVB24z0M+jcKbcRY43qzEzf6WpWre3JqgmzmETV3L1zUicdhLua2Qvu/sPMbTiAqDm+1t3flLoefDVz3Y4/EQHoIF2/OtkejeGZH40Yu5LNYszPKcTJ8ETiZvBgLxtQXjcY76RP/1RlmVOWXGWMmVlnG1KFTenFf6ApKawr82ZlOamckhrXPtKDvwAAIABJREFU31gkWlrcYlLojxLd0Pqy5rJ2HQCs6zXGlxCBxpeJDJDbEzcepTcNPecX84Junu7+LYvugZ2uSiUZ+kZr3cvJNLiqmR1LHJedx6TnuTe0z/tQN9+dgNPT/+VXVp5Iqo663+VFM3u5p/EolRbxVSjPcHobEegNNA9hMvBx1mFmRxDXgTPTogPMbEt3z02UtjnwATO7j7gGlHS5OhD4Wbqed4K0icQ571253yH5uZndRdzk/1eqMM+dyPnDaVtekbajmvHw27kb0FAFzX8CXyLGrzpx/5hbyX80cHS6t9qNCJruI7pX5vZq6rTKGJEBeYeCba9uy9dS6/W/pUWHuXvulBZNNhbUzQo98H5VuaZOJyrdOtNN7Ux+b6LnPIabPGZm0z2Nu/XotVZa4XMuMNEiAdAJRHzyQwb4H7c1aHuMiM6/Y2b/R36q56olvGAC6lFMTTfGZzP85jg72yBA6jpRrTEeeDLLUh4D3n9TeX4PMWdQiYUtxvzsQsxL80/rMQdSn+04BKLPtg+W7GIl4A6LOWUGmT+qbhay/YlxOt1+SjTb5wZtz6ZWrs7f4i6L9P8lenX9yv1/VLM9dmd+zO7mmfynux9jkV1ueeJYPYOMDKkVtYLxJrobEX3mf2LRRRTiZiJ70HUy6JQUdTJvdjuYaE2/lfgOF5H/P20qa9f9FE7F0cMS7n6xmX3DYxzw5yzGW5SkKK/2kFiM6BaYPeYlBe63u/t6RLeYUtPNbAdP06RUyt2evBr8aiVEdzf93G77L5rZysQ1dTui9bKjtBtcHXW/S2cKiE8CnaB5EyKoL82OWnceQqh3nHXsQIznexHAzE4jvltu0JadBKybR+KWLS0mG+6k2r/QB8js7O4HpwqAJ1JF91PEzXHOuscAx5jZ/p6R3Gck6Yb+08zZFS+rgiYd6//jhZNgd3P3e1KAsDhxLXwV0YMkZ937Ktvzj+rzAdxJVNj8ysyWMLOlPSNJTsONBXWzQg+8XzF0Te3cJ3Wcl/v5DM13txCwiA3NfTdIAPtiqsR9N5GQ5DhLU+KUamvQZql2cHLqonQ1cUNY4oJeF8wBLEbsbNWD3xnKJjaq1P3hm0RN0iPAGsQB9ZrR1muCNZRyOvke0a/4FuBKi8xZRWPazGwzomvRssDqFkk1PuhpbEKGL5Z83gjbsCy9E6rk3GQu3KvLg7s/ZRkpeStmWIyJ+z/gUjN7jBhjkq27ZjF1M8nK+NVQreTsj06/dwDOSC25WX0YKvvn0tQIxi0yyf3S3WeZ2eeIm7nDClpEINIyfxj4r/T8UspvwgaakqLJ/0e6Afw+hRPGp3XPA86zAbN2VWo3mxhf8g+Lua/+aGYfIcZeFgW3PmcimqvTPpa7/gtmdrdljsfr4UDgQovsrNXWjC3IGOvgzUy2/nkiKBoDnO8pE55FZsvSbG5bAVPT+W4P4jg7Jufmsu53cfcfmNlfidbX1xDnjduJ7Kylc8XVnYew1nHWZTmG5kxdNmcFS1PUuPt9Zra8ZySfGonHGK6Bpm/oao3vLKs+LanYfqgTWFTO4V/2/GELZxJd0XcihnHsTWR/zJKO9a37v7O3SgvbzkSl1Y+JVrbSaWNqs0qSHKJ73ypEoq7sZFQNGWjsfxP7VUPX1AcZGlf4EMPHGJZmoPynRT6FvRi6TyudPxWgndkjzeyjXkkAkG72P+buexWUUSuFbFNSM/WbgV+5+8apZmsPdx81S1pDn10r5XRG+WO9IFuTRbbF9wP/5ykLkZnd5jUn1SxhZucSLTudm4g9gQ3dfY4TRY917wQmelfWRzNbmkglu94A27MNcbH+pReOsUi1g28jxqq8Bfitu2fNW9cUi37zqwBrEuNlxhBjM/qOfzKz/yZOXDcxNMfZbLn7pw1NvbA1cVP3deJmbvPsL1JTCjAmEX32i6ekSGUsRtTed9cWl0xHsRVRubEGUSmXnQa8UsZAWbvM7AujvV5yITWzzYE7iMq6rxDHyNc8ZdbMLKOaWn0hYkzesT7KlBo9yriS6PJ7PcN7WuRWKCxKJBzpnONuB37o7rndx2qzGG+1dPXm3iLBgvWqhBqlnGnEMb4B0X31RGBXH0oq8i/BRsmcWFBGE8fZ7kR69cvT+m8kupb/pM96szMB2gBTgjTF5s40OgOdw83sRnd/faectKzo/2wxznQVBuhVZWYvEt3uziMqs4fdWOdUWNnwDJRnEueN2dFKbgBrkWRuM+C6yn1WUUbQpllBVuiG96taLbBNsUhK9hEi8/CPzGxN4tyZk8xkmLa2tG1oZq/zNKeBu19vZr8vKcAHnLiyw+acV+ZTxEm1dI6cf3pMxLqQmS3k7peb2dEF2zHwHGt1g7L0+XukWs6R5kcqqT1fKNUOVpeVpPufRGRkezXR934M8FRhIL6Wu7+n8vxLlp9J8yTgHDP7iA8NMJ1AzC3WNzmB9Z6fpzNvx1IM1bj2K2cb4oS+A3EzuRXwSnd/Omf9hu1LjBO8x6Ov94rE+KMcqwBbEuMtpxEt6tcQqb1Lkoh09qEdiTm0LjSzL+esaGZnufuuNsIgcM8c/J2Oz++ki+Sg8/qcAdxFBOKHEomDslLlV5xETG0ybPqDQgNl7Wq4xfC69HAWg3WPh+GToz5PjAMtrSwr6Y45B49u4KPdhMx1qWLtsa5lWZMFd3ne3d1ivs1vu/tJ1meKhpa6yswOZ8B5CJPax1m6ebuCGNcG8BnPm0PKRng8T7l77nk+x8Dn8KRzP/SgRcbCvxAtTSXq9Ko6lKHrx1KFn9vxzcrj7padkgyUjSTJaYINkBW64f2qVgtsUzymffl45fmfyEhk0ktbg7adgC3M7AgfSu7wbqIGZlRmtp7HGKGetU8FJ+bTGZpX5pNE68y3iQHpp5KfyvNxi8mXrwTONLNHqNTiZLgSeINFZqVLiKw17ydu6EY10o0oZQOWl0i/mxh3c39qNfXUSrQ/kWEv17eJLghnE92M9iL6jJd4xsy29jRPX6oxzerC4O7fMLMnie6hnRPzk8ARnpdyvnoTObvY9DwrcYaZzSCyZB0PHJS6k/zpJQrYOsHKn4BXpYqOknUPAjCzRf4/e2ceb105v//31TzQU8jwTSmSuZJKhWTIkGigSQPpS4hKxjJFvoYMlSSlQYUoSWSqSIPmeaCUJGSKJkrj9fvjc69nr73PPnvf91rr2ec8/Vyv13mds4f7XvfZe617fYbrc32I73M9wuE7VNJttp+eOdWfFLVoGwKfSVG9BTLH7pZ+dyHN+zNJrwW+62YUhpVtbyFpE9tHKRRbzyqc4/YGdLFBtFLtknQqsIX7m7t+y/bYGhxJIw2knIx47b2tah0lbQqsDFzp/EL+hzLuVIjsbAesn7LLjSg+M4yq11Rd3KxU8r+L6wzCYauo+iZPzKRea7OYerU2MUlZT7DPeKD2f9hz04wd2eg+J7tUQ5s9HOATitKHdxOB3aUIp7oE7y0IxvfB9t5Nxg3M0abevo4z1F4k553A192CequGqtAdn1ePTMGl3VIS4wxJTdRWW0HRx/FTTFVDLm2lM2udtr8SG+g3E02mUrrLwR4En/fzQ14r2Zhb98hJ2IRwCt5FOFpz6FcuHIc2Pda6MEQXgc6i6G8jZKZXIL7j0+jVEGXB9vWSFnTI1B+pKObcs3ANR6UNHiIC/YYR7x88/leArygokTijuLc2tgvBjO8QYjBbAQ+op4pUDHWg/KiW7QsSFidusnPSz830MpA52BJ4BfA527cphBfeO2YMALb/nH63KfqusDOx/zwg6W7KKdlVtPg2Sc8koq1ZvZ9qQarTJX2WiA43zSK0UYODaCh9W+3Ytyq/V9wGRHbvWPrV5IqhqDN9GzVJdeCQHJaCpC8TlJpzgH0kre1eq4+JQj2lxTpuBy5y1CFOClsRGf6dbP9F0goUioAktsjBwGPS/XVV4DW2S7IqrdDGOO7yOtNU9chdFfWk44RIRtXalDqfGxL1vHW8cshzwzAqkFt6T2q8hwO41yrhdkLELhuSXk307bov0Ry3tH1OyRyzDF2I5DwGuFDSJcRn89MGgcimqtBdnlddZGC7wJGElsJ+xPm5I2VBibmYrTVtlzrqvwTsQ9x0l7P9pAmuYVre+ODjEXMsSNSytblJXEpESvYjbpZXqyU/WcEb38b2LhnvnTHO/CAU9SUvJTagvxA3rzfaXq3BXEsBuLxBeGMkw3UvInp/BZGhKz5+ui42IGrZNiIcnZ2AH7msRuVy26splB93Jqhgx5R83ymbW7UvWF2pfUFORkTSoYRhfCfRpPa8NE9xdC+d0092NC5fFnhYoiDkjt+coCs8GuYqRJU4XK2RHOATiIa5XyNoNh+2fciocWnsKDEBu5DDr6DyVqpdSwBLZVK3kHQxsJmTeIdCtOjEzD1zYXp1mk8jKGzH2r62ZP1prsOITFC9fvUB2/+bMfYqota1+v/Pckad5rxAuk6eSjAMIFQwf0c06b7B9u6Z8yxHrwYLAA/pIzcvIekMwhg/xA3qmtWigX0XEfwurzNFjWBdPXJB4NJMBkwrSHobYVc8kX51vYcDv7S9Xcv5s/rHSVrK0UpoqCHtDJq8QifgHcQ1AkEp/5LtX2Su9QrCUbsmJQn29XxWpzkvkOyMlxEOxprAccDhDjXfnPHHA7tWgdGO1lTUl1DSxgRbZXl6GdiP2f5+4XFXZWrP52yhHfVqLufa7tVzJeuA2Ztp+yHEDkhIPW9KRLDHQtJawB8qA0PSDsRN7vfA3jmbQELrHjnphv+gpDlu1igXIovRtscaiULxemAL4oZf1LKgCyjqCD4F3EV8x6sTAge5UvnbE9GJdxCZy+WJ7zbn2P8gHIOqbup8T55SeDSRPTiQyIJ+EXhj6STpujidiPbWjdwvE20RctFY+bGGNu0LVgAWBa4j1AH/CNw2csQQKAQw1iQEQI4kDPWvE7V+udgXeLXt0hqyag0LERHqynD4FRGdzBbqsV1FQ8+krMdcJ9QaSS+2/XPV1LvUTA3ug8DZyUAX0cD5LTkDUxbsZEJ5bHHivD5b0kddE6fKxFoDAZ2fF7Ak7nWv6fxdDa6LueiAGrMq8LxqPQrBhLMIqn5WRlrSZ4hM2a/opyplO20Kca8qyrsIcZ39y3aW6mHCEo4a9fpz2dcI7RrYt6b4d3GdDaBYPbIjfJPomfUpIjNT4c4CG6kPyYHeJv3cRuzJOevYmOlLB0ZeIyl78iWCvfTxNH4N4AhJ73Ceevj9tq+BqKWtWDTzG9Rdc+7q/Zb0FyJAfj8hCvUdSafafl/GFK1bNEHj86o6VuMMbO34RxB78NX01GazFeQTKjXk6yS9g7B3GtU+zspMWxukdO5Lbf9T0vqE9Oo7CQfhac5U15M0kjLnTAljBX3t2YSEeF2RqFU/kMxjr0LvZL+FuLm9x/YTCua4n3CyprxEYSZC0mUpG7MpQfHbAzi9JFOWsijYLiomTZm1dYi6qfUIJbnfEU7cL20fVzJfE1SZrdrjTrOYkhZ3gcSwWig/1uY4kYjE7U7Qcm4lWiNkNY1MxvAz6H0vzySMmHNtj1QjrM1xGXGNXVKL3l9RcpOS9EvbJU5efexywM+JzO+lxLXxbKL33Its3zxmfGcBBUmfJCLF9Xqyd9v+UMbYj9n+qIard9llql2PolczdJ4LakVSIOKVxL61CuHEHWb7D7lzpHkuIWrrfpsePxH4TmbG7y6iMSvE9/mk9LikHria62x61JhXk6gxtj+SOf5aYO0q8Kegdl9g+ylKrJTMOVZ1s/6Yw+YTQf1fx/YHxr2/Nu7HRNDteNtrSHodwSB5Zeb4C22vVf+/q/tKg3+jMdpcZ7U5GqlHdoEuMlxpnhXp2Rj3EZncNW3fWLAWAcu7QVsNhZDLbrYvH3h+VaIf1tiMmaJOvJ5l3aP+OCcDW5urdclBmmcZ4Mn0B3lGBlgUjIZp4YISgPR/7EDYjYcRit/3VY6HM1hvmka93BkCeV2cV2meZYkeoyvSnyUruZf9yvn19dPNsRaRAV6aYA/OIfaP84rnmo1OW/oHK5XARYkN7T85Eb26YSzpIODvTkWibTf3dMI+zAWUtumcvwKnr7FkqYKffRZxU7w+PXdDQYQXZRoFmXNd5ahjOJTYBH6U852kTf2jxM1+AZirBneg7ZL6wPqcS9JzNlZyRlPJYZmIOsaly1OUfwN60cTT64+bRjibIp3PlfLjbQrlx+VsX9FwvjbtCx5PZMbWIyKvj7S9dObYC2yvXTnB6bs9N8ewrn2XLyScrO/RHxXMkXv+GtG/av+B53cFnmN7ZACoy4DCsOu1JDiQzonXNQliaBrxpwrOqPdJUc1nAz8lxEty63eHzfUSwoC6gbjGngDs6OhNNW5slwZQK2qMop75Q0RNXmXcf5Ko+9vb9tjan+QsbeEC+nTm2oruD8lxPpQ4z28lzvPtco2xZKS/Fjg1XevrEK0gsulsKSgxTCm2xJBrdZ3VxjyOnnrkBc6kILeFpJNtb6wQkZqS4cqxESSdS9DNvkVcq9cpRLGKa7fVsORD0jWeptXOqNcG3tdlq5IuSg6G1onn2HxdQdLHgCOG7XOSnuZMRkraR5/s1OQbWNBjdAA6Pq/OIWzgPpVX2ycUzHE48HmHAuSMY7bSI79MKFR9i+g38UbihpuDBdXrH/YS+mk5xf+vQsHtrcQXfiGwlKQDbGcVYOc6ZyPQRrJ0c0Jt8XRJPyE+zxmTCAZ+rKgVeQDYJUXjcyK/7yIM+rWc6pTSzf9gSe+yvd+4CST9Dz2juLpJXkwYQ7mNhF9IZFSGNbHOSZfPYaq4QmXIZqlHdgm3UH6sI0UFlyeii3cS2bIcA31Xet/JfSS5f6LwuUSI5DiF8tjSisaibyK/6W39u7yL4PBXyKVArGP7jYNP2v5iynCMRAoCnZJ+BgMK7yBqCXKxoIKmek+aa3Ei8JWFdE68r/CYFYaJP82dmjyBhDcSfY52Bt6iHo2uynBlF5Hb/pmCmljRda/NzTSVOGUZaEWNcaif/Yi4FwLs5V72Nles4S7gMkk/oz8okc34GAhWLUDQlEr7zf3J9kvTOb6AQ/22RBigUQP7AZxc+3sxYDNCoKAEra4zTaVT/5rIamRD7Zqdb5x+txHH+ivB1HgM8T1cR3Np+UtUWK+UMEqJO0ulu8Qpy0AXJQe70asTf5FSnfjYA/fTl6u1zFWndll99hMHzyNJx9jevsBha9rku8vzaglnKKGOwdHAuQqq6D0UsC0k/YDRlNUiqijM3kzbsMhkLg3kg8QFcwtRM7OGbUtaGTjKhRQo9Sh92xKb4geAi3O+sDS+imT1ITfbpW6aRi5JUFm2IQyno4kaubEpe0l72R67YRSs5dHAP23fn9a1tO0/jRlzKbChByhWKQt5SuZ58SDhSOxHUHOKMkGzGU0ywGlc64iepH0IQ/sGanzvzEzwF0iUQLcsVlZIG7+M2FB/avvUNvMVHnvavSln3xoRUDiP+D5KsjrvJxzRiuK4I/B92/sWzPFpenTqOqW7cSZY0sLOU20cmfF2quvKPOYVRDbqOGcWz88LaCo1ZimCGnP+mHFdta9pzfhIc9Rps/cTKp9ftf23gjl+CGySgqpIeizww9ysYxqzEA0b2E8z3wLA2bbXKxjT+DpTSzp1bZ7Gzc67yIqneeYQweFtCDrf0sDLbV+QM742zzWEQNfviT0nyzCWdBvD6zIFPN/2MiXraAt1U3JQUYAvA55r+x5JV9t+xrxZ9dA1DIrvLUi0PsmmCapFk+8Oz6tPEPZFTm3jdHNcTwSLrqRn42QF9jScIlr5A3KDXsqz1WmrVAKPIHpS/Rl4c4GjtA7wOMKg/3d6bhXCsC2RvkbS1QSF7JuEItEZKqiXUVDOKixGCIE8wvn1DOfZXkfSTwnhipuJuoxGSpopK7IFsJXtcRGPzqHo07Yi/fzikUIkGqEuNuq1gfetC6xLGMYrEQbHuennopwIvLrtH9IKwzLARJQ1W4JbLZQfa3NcCzxrJp1gSUsTGzvAb9xA9EfSUURtRL1G5fPOoExJugF4z7CXCON85LXadUBB0iuI/ROCRlbUYywFmgbh3EBTbR4RQaLXAxvbfkzJ+LZQUHO2Sj8PEk7ocW5QO9NyHVvYPn7cc0PGHWr7LRquWJgVGJltSNH3jYjs2PJE1uw94wKIaklNHzP3UwjHceXCcY2uM7WkU9feX9HBP0JkMA8fNLZHjK2fU88hgkQVGp1bKSC7JWFor2B7+YKxQ5lU4wzjaYzi+vhio7gN1EHJgVrWiac5ViMEoADOzD2+og/jXkQbnqquWsC9RNPz7PZKks63/Vz11OAXIurOiwRRmpxXtayjiF7L99ATPLLLtBjOtb1uyZprYzcBHm/7oPT4AiJ7aOD94+4BQ+ecpU7bEwnnZDGiWeIcwmEqacTc1Vp2JXqWXE40m12BaDr4gpEDR89ZUs/QiWTpbEC6WT2dgWaLtt8+Zty0N6Lcm9SQcSsSkdLdiItqLD1QPe77Uwhnp/oOXk3UI7SSSS5B2wxwmqN1RE/SCcDbSqLtXUHRgPUQQtTmBoKy9QTgROCtJc7PsIxYTpYsvW+YcMdc2N5xzPjWAYU0T+sWI10gBc1eT3wvjwB2IbIQjRu1drCmJxP1Jds6o341jVkQONr2ti2PPWWParpvtVhD6+auCgr1Tkytr86uBUvz7EL05FoR2NkZPbHUrUhO3aAzoY63pzPrXNpeZxpdh3Wt7Sz1XYU6608IA3994G/A5TmZjIF5Oqtbr835hJxMxMCYBQlKXD2gO5EAi1rU8g6Zq1hEZMRcxXXiChGRN9Oj9m9GOFwHZo5fgBB+Krquh8yzL6H2uAMhBvh24Fe2Pzhy4Og5i8+rtlD07FyaaFBeWu/+S2BrJxGtZGu9hHAkj2ySOJmVNW22b0h//oe40c4kfmB7bnNTSTcRNTNZGKAhVHUA2Z+7O5As7QLqNbRug3WIZosPjn1nP1aTNIz6J2ob4zikTFJFQ3secSGeR/Csx8KJ+54ywWs4FdRK2pvUpmKCWFihsrcpEdC4T1JpBOaPKUv1PeBUSbcS9JQSfAq4VFGr2FjWtyE+SMiOL1/7Lh4OHETsGyV7xwKSlqkcC0WdTdZ1Os4pyxhfOWhfSMdekQgEHEVQV7POcXfTYoS0hvWYmhE/esyYTxJZ/JsIWuLHCKezbV1vYwxk2x4gRJ2ykD7PJ0hapEn2U9IriazScupvkL0UmTL3af3/tn1LcoafD1xv+3uFy+miuesxwDVEi5GPA9sStM+xGGApiAh+XgasI2mdcSwFJyXZttdamqOVpHsH19kohd8S1djWzc4TOo/cN3DY3kmcn3+lX1Z9nvesg9a1vHOhaUoOKGt4jqb2HV2OEO3JwU5EELZimX0mrSHLaUufRXb5zQh00eR7cG1Z51XaN29zT3H3RYStdCNwUOF+vjhh2zSpd1/E/arHZ9v+B/APRXlQMWaV06aoXZpuA7mHaAL5GdslIgVtcQKRyQDm9q74FkEpyEG9OL+qA9gy9+CSViKiFCvSb0BNwiiu47qUVTnSzVV0riZSw38tGZQbGR8FSbcQ2dtzCQ78p50UNRvgMQRdoMK96bnctTwJ+GPKbG1A3JiOdqLmZeIQ4ly6HDgzbVJFNW22N0t/7p3oMnOIyG0JjiKaUvfxvSeEzQkp9LmGjkPY4O2EM17itH2eKDY+njAqXwf8X5eLHYW2AYUa/gVcKalxixFJxxCF430ZcaIWdhT+l+ibdTAR7LqnQSChvo7HE4bL6SmrulBliGSOP59w6o8nlBNvGDNkGG4Afinp+/R/njlU6JuBi4DX0E8/u5MQVxoJBe3tDUB1z3kpoSD5KkkbOLOpdsLiDmEWJcNnb0UT9CyafsLKtreQtIntoxQU7bMyxw46St+d5vmhUDeNsUdlNu8BbvIYZbsa2lxnczSc5inCoc/FFsT9+NZ07JsYf43OVuwGPCUZtDOF0yS9h3a1vI1EROpQ+76joqaUmP4uFUNpKgwzFyk4/1XyRcG6xHFEhvF2SasT94BPEdTVLxP3qiy0DBT11VTafkft4bJNJpxVThujVaAWIlTpjqLmRE0HSR8Gvlb3ciW9xfahOQtJF9szmLrBLkVBdqcDqtL3iMahP6ChUZw8+rtTBGUVQrHqxy4r4F6NUKI8LKXPjyDkWEschTlEs8Xz6M/KZNdQtcCT2mYfajgauEDBPYeI4HytYPwJwJoKcZxDgZOImslsznrK/taj979P0aQiqKHyYw131TPRE8aDHtLPzPa/Sp0F20dLuoiIiBrYvEVwoggdBxS+S1nTz2FYk8iIlzpcjwM2JGoP9k+BgMXVU/PNhqQ3EcqZcwgH8gnEzfalo8YNYAfbY9U7x+C36WcBCpszO3pHXS7pm4V7bYWtibY3SxDZy8c6Gn0vRDjUJeiiuWv1P9wm6ZkErfDROQM9oNAn6WHp+dwWBF00PB6lbroQsIKkg5wn2tPmOjuD4QrEUNDsnAgUXqjoR3gEIcCUdc1KOpBegPzxA5ngifSRHcAfCDZRI0h6VgfB/K3S711qz5WqOv/H9n8koVAXvUZRM1mCzUh9RwFs36yyht9HAucP2Cc5zefreC6wraQiYZg61F6E75EtnPjF3RP02Y5oX/D5tAcW7Z1qRws/X9Kbbfc5rpJ2BopEVeaOLb8vzywk/V8OJ1bS3whp/Hc49eVRWb+iTYiT/TX0apcgDNtvOYOHX5vrVUz9wrP6iykVc+Yea5o5LiaKUpch1PouBO51w1oNBc/6m0Q24DvAPjlGpqJv0hTY/lmTdcwkUtS2Xuh7acHYqoD8vcQmf6DK+x0NjZDnnldpjsbKj7U5vkA44N+n3xEvEvxpAk3te1fH6S5o2p7mW42oDTFwlgcato4ZuwAh/Z+9L9TGtqYz1uZajFBhg6DRlUqyk7KNu7qFomfKjG0UdbnPAAAgAElEQVRMOHAvAH5m+/UF44cpjxU1TE9jGu+9XUEhzb434XguRM8AGmm81O9Xg/tDyb0svb91c9dE/TqBYAYcSTh9H7GdnQ1Ozt4xRK0jhErpDravzhi7IHFejm3x0gTpnL3UGQp5XVxnXUCSCNrWjkSw5TjgcI9RS9U0aqIVXKYqui/wCYL2+RPi/HiX7a9njK0yqM8gMks/pP8+kiXuJeksouXC14BvdBigLYK6ERFp3He0NscaBJUa4l6WbZ+k8Y2EYQbmaCvCdx3hYB1JJBmynRX1K89fQtSs/jQ9LrqPpPvhNQQVeS4t3PZuGWMfTa/3a2UTPYc4Vze1XcQ6g/nQacuFgmq5CZEW/Y7tz5YaxmmedR01J03X8RUiUvoigs/7OkK0YqfM8a8nilpPoaFRXLv430lEIPZVYaPxdMN8FbEhrUjceL9BGGSftL3KiLFPtn1d+rsv6t42BT9JaEw/oVwahYK2tT9Rk/Vq279TpgpmbY531x4uRhjIv86M/lRztFZ+1Awq20m6kXA2hzltY43igbmq4u0T0nxFxdtpjs4L+guOvRBBw3kTUZcoIoN6JPDBnEyPej1lHk7QSC6ggzpFRfPwTT2mJm5gTKWaWymPLUgo7mWLLLTde9McyxJ1cIOOX0lg4xqCDjnY4HVkFFk9VVIB+9LryZalSjoboWh2+8FaIHUD4v6RJbdfGbTzcH3PsX3xiNdbX2ddIwWbdiTEXU4n6qhOtZ1dv9ny+JUo1mbEfWgPIpA5NmimbhtbP5n4XrYg9q4jndH6RfNImVQNRETSuPcQNt+GBKXvTcA3x92LUmDmUbZ/PPD8RsBfR53XI+Z8NP37XithGJWJ8IlgVryJoJweR7DnxgoSSjqAYH78mUi8rOKo+38cQd1fs2DN1T3oCturKrQEzrK9TsEcLybuIQBX2/557tgpcz2Unbb0QS9G1Fg8jDBQh6o2jZhnWcKYW5H+mrIs47j2RVe/H0ZEDbLUJyV9CtieoOg0zYZcSij37EcULV+tzH4ZtTluIG4Ihw9mEyR90SPoFAMR48H+H6UR48fQ62V1gSeoWqheur9yEub226DASZD0dEKu/1zbxyrqFre0/ZkWa1uUoMdsUDCmtfKjpCd6oFZo2HOzHYqeR+u6V7zdJLr5OYLi+N2SqGAXkLQf4Wy9yz1RlqWAzxHU6Jyo4JsJytVgndILgD/bLqXYNIakzxO1rzsSe9cuwHUuk5xutfemOU4halzeQ1yzbwD+7oKGrWrIllBLVdKBuVYhnL4q21fNkdNPsbNWJ5IuHzTmhz03Yvx+RI3PYN3RPM/s147f6jrrcC27Ecp8txBBie8lw3QB4lqZiFNfBRwlHUYEyH+S+50qmpI/fPAelJyFO1yYwUzBnU2J0oE7iHvzXqMcL3WoTJrmq0oO6tdZaaupqu8oROuqHOfz58COg9mwlDU7stBmfA1BJ/4fQpX0CURQuERZepgI39tyr/WBuV5E1PUtSdTxf2BUMiU5fFsRjttxTr2AJT0beLQL2uCol/k8k7gX/YWwPYta4HSF2VbTBoCk1W1fNvDcKwcjCGNwEUC66HdUyAxnNzis4STCiDmN/uLOXFRKUXcpmuj+gziRcrEF0Z2+Te+m3YA9iYbaVytaKgzLkIzCqp6m/mCUw5agaf4e9nj6SaQtCXWsX6RxB0p6r+3vFMwxzAC5nZDLH8l1tr1S7nHGzPMrYNfa498RYh5tsAShWFWCLpQfv8PUGtPjaXatzSS6KN7emYgyPyDpbnrOfIm4QFNsTEQT5zqLtu+Q9DaC2pFjTG5C0Ej6akMk/ZPILkzMaSOyW2+ht/afEuI7JWi79wI80tH/ajdHz6czJJUyA06X9FmiBiqbLVHilGXgeELU5quU38dG1dOUBiduUNSbH5Meb0fQs3NRsUPqFFdTqM7XAl1cZ13hEUTtbZ+R7qhd33iC6zg5ZZPvBt6WAt25ztYBBKVy0Kl6HuG0vC1nEkmrEgGeVwGnEgyWS9J1f+6Q+efCHSqTapqSAwrPT9unKmh96wO5QigPHzwX0ly/l/SokuMTFOp1iNYWz05OU2lLo7YifI9Mx9yeCOC9kyjDqIRFprXH0vX5rSHPF9FEEw5NjviH0/EfRpmAU6eYlU4bcISk7ZJxi6QtiJt4idN2pqSHV9Ew2wcp5PpLsURJVHUITlbIqn+W4LSaMjWdq4g6hMbZEEePkDNrj2+g5jRk4n8kHQw8JkXVVgVeY/sTOUuY5u9hj0fhg8BaVVQu3RxOIxyHXKyZfn6QHm8MXAG8VdLxzitCr6JpjXqxqJueSVfS++wWJJSISmt1Gis/qiOhnlmE1sXbbiklnrKlr2VqVj/ne/Ww7J5Dnjz3GnvMoMOW5rhS0YZgYnC0Fzk4/TRF270XeuIbf1bUx91Mrx4rF1WWrU7JmaSjAXC/7aaf5RHul62eiwbOwZuIVhCVEX0WBS103FEPwhb7dxfXWX0dz2TqfSCLRlw5GxpCYbOd1YqhC9j+gKKu7fb0OfybCADl4Dm23zJkzhMl5dgWFQ4k9uu9bM9tqeAQ8fhQ7iRqXwO7JSF61qRFyMlEBukqBY3vEiL58CRJh3qgGfsQLDPitSUKl3Of7X9IWkDSAg4F33HH70MH1+q5RHBnU9t/rD1/kYL6PhHYrtoUnEGZKM08waykRypU9Y4j1LOeR8hzbuyC5qySbiM8+22qDayUipfGfAI4x/aPSsZNM9eixGbwVNvnZ475BVHYeyENsyHqpi7jDIJec4h7wgBZdVgKUZivE5mHbdPfpMevt50ll68BSmeigRQ1E00p7o2qrGGiTP2QqAe42HlF6EN7seR+npLOptcz6dWknknOLNBNc9QLhe8nOOulCn0X2m7Uj0UdCvXMFqh98XZ1fq9kex9JywOPs52lEiXpJ6SsL/21T6NU76qx3yNomUcPPL8dQb0du19Ius72k6d57XrbKw97bch7fwt81jWBCkkn28428BU9yT7KVDrftLWzY+ZbFFjMhQIFySk5i6A7HUgEJfa2/YORA2cJ1KvD3ZUI/J1I/31kbBQ/ZVFeYfvGged3BD7kCdfWtTWs2+zfXVxntTEfJYSUnk70sHol0cdplIp2ffyrid6ObShsqxCBkSbB2Po8jZxPSb+2/bTS16Z5/yJAtT9c68L6QnVTA9u45EDS1dV3J2kvwk7cQaEc+UuPoeqn9f+DuCadnhMRJHnsMOd4xFynEff3TwGPIs6vtZxfe/pC4FbbVySG1PpEic+Xbd8zevTcObb0QLNzSVvYPj73/+gCLYOp3a9nNjptMDeS/11CmngTD5H2HjP+UkKm8xjiJnu8CoQCJN1Jr35pSeJGdx8dUJ4k3WR7hcz3vnDY8w6qTu7xuqjLuND2WvXPUJliJpJGbnrOrJVJFKNVica9EJzlKwr/j2uI2sb70uNFCcfvqbnnR8pyVb1YVk/n6ied2bpAqRhX/QpH2QW6tXlWo1/B8orC8a2VH9VSqKdLDIs4N5hjCcL4+L3tvxeOPZjIWL7Y9tNSNP+UXMc4NwgyzdjliP3ybno9wdYkGoNu5sTpHzPHscDPPVWe+H+BDW1vNXzklHmuIeoO7gJ2tn1vyd6b5vg1EWgadGDHqm1J+qTtvdLfGzqjHmTEXM+z/ctxz2XMMyMqlppah1uHnZHdVwgZ7A+8yj1BqT0JNbVXDkTBx83VKoDYkWHdeP/u4jobWMdqhGLlaop67a/b3jBz/OVEtraPwlb4WTQOxtbmaOx8VscfDGwpRDU+b3v9zDW8kGjFcyPMFYd5gzPZL2mOLmpg1yRKaopLDur2lKSfAV+1/a3B10aMX5K4JtamJ2u/GpGt+1/nt9eo5rqbqEXblhBU+YYzJPglHUTYaYsB1xJ0wp8QCZgFnKlaPizJ0iTx0hZtgqnzArOKHqmpzbWXTr/PlkThl2UHp/mFwLGSnkvQyHIHd9EXZjqMrZWRtIKD5jDFOZOUvYkkdFGXcYuiKXQVwXkdocwzFrlOWcY875X0WnpNJg+1feKoMUPwDYIGd1J6/Grgm2mTyu3L1bYXS+ueSeqpHVY0o28oKBTZaodELxiISHOFUtrWZpKupoHcc1fQNEXT9NSaxo39IlE38CHgIII/v6Kk97tA+hp4rkOl9VIA27em6G8uzlHDfkPJWHyu+lWqfuSydhq7AydK2pZ+g3QRQk0zF3fZ3krS+4CzFPT20ujgHS2yWa8A9kp/f4aocWmKA5lasznsuWkxnaPRYk1Ieqztv4x7n1MdrqTFPCDqoBDpGgvbP5J0D/BjSZsSzJe1gfVdwH5J+AYRQNyYWgCxYPx6NcP6YwrBmpKyCWixf3d0nVWoeqferxAz+RvhbOSiNYWNKP+4IBIyc1HE2CDO58r53LFyPjPHvhc4TtLX6N9zdiCYVrn4AvAyp76MigzisZTVVlfXR5sa2MYlB8AfFArffyT2l58AKMRaFh432CGitY1Cs6CuVFgkCpau8ZWBKx2CHSX3QIAX2X562l/+RAh/PCDpEKIUZdzxX0n0rF1O/f0Dl6L83Byc+ygimHiQ7asyhz3e9ivaHLdLzCqnjdHNtUvxZwDbt0h6OXEhFUex1a+AU+F2IhLf9ATKMWB+kW72n3fUd5A2w88TzbGzJUvppi5jF6IR9FMl/Qn4HeWFqa1h+wRClr3p+H1S5KRK87/V9kXp79y+dX9U1Mp8DzhV0q2E/HMudiOMuF2Jgt8XE8ZLCXYinIRK7fAzBAe8xGnbaXBDTxt+CV5m+30Kuecbgc2J+smJOW20K5rehyh4n0OI86xq+4aUtfsZZTes+xTqZVVgY1nKbtzPB96YsiP3QHlDU4eUcCM54ZTFWi99ftVe+UOXyxMrzbevopj+FMr3m58rlHMHxTuKsslNIWldYo9YVv3iRUtREPxL6MLRGMThhOhCLs5hqqM57LmhsP0zBR3yF2nciwedwEy0DSB2IS7Tdv9udZ3VcFFax1cJh+VfxB6ei9tSNuhMImj3N2qKmploHIytobHzmRzGtQn74o3p6auJe1sJxXDhymFL8/5GIc1egh+ofQ3sXba/OP5tQ7ETUZf+UmAr27el59chaq6zkO7pjdSbJX2ZcPjOAfaRtLbtfQqn+U9ax38k/b6yX21bUg5l9WYiO/gaeo48ROnFuwrXMogvASsQ4ia5DK3GwdR5gVlHj0xGzxUu4GXPS0g6j7ixVV/Ys4jU9xyCu3zKNOOqnkdTXiJueEuOOe4ywKcJw2G3dNw9iH49B9vONgY1vC7jY7a/P3Lg8LmWJFLcd5aObQpJZ9t+vnqU1bkv0YCqms6xx9DPT27Uf0QNe7G0hRLFpzKcUlTrQpfV9w2jHxTRNJV4+Gog99wVJF1ke00FXejZyYDIlZyu030HayZLKX3bEpTdNQhn73XAhz3Ayx8xvnVD09kASa+uZ8nS//UGl9UdDbYdgLjWx9KlJP2RiLyLuMn3SdI7Q6I+XdcbENmgetH7nUSfn+vGzVGb63zbz033ks0JR+NqZ9YItoGkxwLLEUGU19NjeSwFfMUZLXDUXyqwKBEErNRVi/Zf9frv/ZTIcN9M7BtZdXEK5ckDgZcQWXEDh9n+cO4aBuabkf17yDpWBJYqCUqoBYWtNscTiWDsekQj6N8RFMsbC+b4MpHZ3hp4N+F8XuZu1U/HreEIIkBWBQu3BRZ0hly/Up2UpJUcSs5V2USTGtjWJQczCYWS9GopM7YEUdtdWrYx3f4rYHfbYx36ZKMdY/v1Rf9Ah1BP7G0hQrToBhoGU7vEbMu0VSpMN0hazgX88EGkKPf7mVocW6rYdTOpt1ma9+lENOR9RBR4qNNG9G2ZDqNeq9Z5K7CzggZ3WlrHOi6oH6jNdXL683aCopMNTdOjp6JT5BhAbWH7+el3a8pqoh98lKDAzTU8CFpf6VxLEJHNX5Xc8BW89w8yVWShZA2N1Q7VrfLjD9Rc7rkrtIk4L5ACJAsAD6a/K8N2gZJF2P6GpIsJg1KE6lW2ilvlnGmgNm8+xO6SHnASb3JIThe1o3BBHckQfJWeTH3975LjV1mgr3XgNHehYlnVU1VZvpszmR4vJzIYj6ffeb2THoV0JLrYd2v4hKQ5hHFfBRCzo+e1qP8JCrW9IsM6GYNXV86qC2rDu4aibunztn9UOUkKinuuYMTWRC3zdZRT2IC5WZmXtgnG2n57+vMricVS5Hx2hLcR2bpKFfss4MuZY/ckJORPIGWeHWIZWYIZA+ii5GAmcW8tM3aX1M+bzcSo/fewqW+fiuQHLC9pkSbBlBFJk2r+HMGgSbbNyMasy7QBSDqd4CKfS38DzSyhhzRHa/GNNM+Uolz1mklmCXE0QbrJf4aQi34fwfF9CbBbLl1J/XzgKfD4/mpVkfGoOT6Ws5Y016cINaK7CMXG1Yn6p29mjO272TaFpOsJ6kV2NLI2dtr6JyC7/knStQSXv4/3XmocqqHaoTpWflQo1FVyz0sQN+2x9TZdIRkc/4G56qQlRdM3Et9BY6GG2lzH2N5+3HMjxrduaDobIOkG4A+EqMnH0nNFBeQK9bQpsP3JblY59vj72959upt/5k1/2LzZEXyF2MfCVYZS0bLmNqLG8Cjbnyo47msd1PIZQ9rDd7W9X8t51mOqkluWTH4afxLwzqbsijTHSkTD+YrpsDihwHhjwRytrhNJHyOEqFYi6GRnEveBkf1GB+ZorIyn4aUjczGp7FI6r452psDFkPGnEfeAtam1RqpQcq1LeqKHlBwMPjcvoaC7/tH2PZI2IALSR7tHtxw19i7g+uoh8KT0eOLZJUlHA08jbJS6H5DLlJgWTYI1g8HUNvtHG8xWp+0lw553QbGvegp9V1QnmhpInEv6NmGkV436tiIkULcnFJIaSaZnHPcGIlK0fxVRlbR6eu73trfJmONegsp5HJGp6zNMc52MrlA5uYpC100IuucvnEml6+hmezqhhFdcj6ig323BNPVPzqQmKtE9S4+fxi7laOY6tEbIGRLetbkaKz9KerHtnw9k6urrmLaZaddI2dOvu1wUoet19BlcyZi40hltJNL7G6vBaSp1uA+eTIPvai2XEAbQFwlK9nbA6YVOWz24thhRv3W1J0S5kvQc2xdPd/PPuekrFPD+UAUwJO1AGMi/JxSNR16r6XN8gXt1q5em82JB4IzSPUQzpGA5sIYLbK/dYvwxhCF5GT0lN+cEIGtznElkRC6g3xgsMc4vImoV702PFyFk2bPtgS6ukzTP4oQo1XuA5Wxn11yqXZuRBwn74pbqqdrLdjmrCUlLuFApPI07myg7aZKVWYTIsB1DiOz0ocTAH+Z0q7zk4BGDe4Nq1M2M8ZcRmgcrEmqeJwHPsL1RxtihFP0KpYHlNpguYVCSKEjzLA6s4FrNY+H4WRVMnXX0SJhb9PwoemIbF9m+ZdSYIehCfAOCWvJ2QlkN4JfE5ngfhVTDQqzvASpkiqCtJ+nNmXM8jnAytiJUd75N1A+MjbgMQkF7ezNTI3LZjVFr4zYCjneo65VEDZYBrpbU+GZL8JJ/IemH9HPOc2ieD9r+DYCk31XRM9t/k1TiBH5UUQP2s4E15Dg63yTS9hczpL6PsuaPbZQfX0gU4r96yGump2o5CTwGuDAZQUcAP/UEo1EpI7IXsLikO+gZL/cS9SK5aKwG50Rhk7QPISRwDL3MY6lQQ1soBUXeLumNwNmMbvw6BbY/0zdhCO38pLMVjj/+xel3G/rcIYSoAJLWJ2qU30kwDA4lQ3irctgSDkjPPZAMkWxoHihYNsQvJX2JuBfV9/DcrMyawNNbXt+N6t8GsFDdQXC0tShRioWW14miafTzCOXhSwm7ZFgt6Ci0UcbbgziP7iaC2ie6QFa+jpQ9PYz4X1ZQtLPZ2T3q5TjcQJxbxVkZ4HDb20v6atPrXd2XHLzS9h1p7qcTgfdcIb0Hbd+vEAc70PaBSorG4zBJp2wcSp2zYVD0MvwcwU5YKSU+Pl5oM7YROuscs9JpU8i670dsQCK40u9ymbx7K+58Bdt3E172sMhTow0q87jT1q55oI/SiPf9gyii/4qipmRr4FcKKfNjCpd0EvF9nEYtIleIHysKXR8AdkmOeQlvvIub7U3pZ5H0U4Ku6p92JBRAF6ZHj8xydGxvLEnACztIzzdWfrT9UUXbgh87U2hjXsH2hxQCBS8jPtsvSTqOuBn/dgLH/xTwKUmfsr1ni6mq2ryzaK4G95qBzPXBKYOX3bi9A8wV7rD9NUVB9y4t51yUqMuaKNTrc9YH59FmF6xFzLciWpScQNRj5VDYHiZpYaeekra/lta0KHE/K8G8ULBsgqqcoJ7hK6n5uQp4LOUKh72D1QzzdA/6RwMn8O+SXuMk5qWgnJcGltteJ5sTwdgfAmcQDcJL67DatBnZH9hfIWayNfAzSb8net5lUzQT9iPqL7+f5r48BTpy8dv0swDlNazPUSiRbivpq0xlJOWwV55CBFOXpj+QeScR7C7BJwnH7VVp3qPJV7aGUDHehigJqtZSqqQ541DLno4JexPZ7F+ksZcpqM0l6KK1RmeYlU4bYWCs5dRIVSF1fwqQ7bS5hfhGOuZxtrdUT0FmcP5G3F5Jn0xrOswN6qoaHnMNYBtgQ+JGffHoEUOxhAvrAQfh6LP2WeCfKRL0H+LGkzu+ddF4y+jNHOKzqzb1enS45Ka/lu2Svm59sO2UKcxWipwG1Ub+KiLzebsK6o4dKo3vI6KAM4r0mfwF+AthyCwDfEfSqbbfN6E17KkQixgUmMlt8LoJUZu3O73avFL62r8VKpbfIs7JbSh3/FrB9iHQVwPwd+LmmQ319+xckMgWFtWzKUScjiQMp8MIStwHPI3i7zSot1ZZjGAu5DI2FpS0UMqmvASoC0zk3Hu/Axwi6R0VZUxRv/ml9FoJGkvla3r1XtLjfwKftT1W+MF2I3aKerWFDycCjxdQ3rx4HSLb+U8ien4MUeqwgKQdbJdkct9KBFa+RNwP/kD0Fsv5X5ZKWZTj1U9z/x2RLcuCoyfkUkS2bUPgUEl/cwZtNgVPHyTOwx0V5RhN24zcoChdWJwoG1mFXnPnbNj+w8D9Jzs47F5NYBN65VcI1ssT6b+/QyZ7xfZJwElqUXJQm+uHinYFpxDn+2YVwycTOxLn5//Z/l1yUkqD9I2hacTrKmRmP6F9T0cIh2vQrikN0HTRWqMzzFanbYHKYUv4G5mZDEkHMv2Xcg8RjfmGx6sk7ZZ+d60gcwHByd+PzE2+KSR9nDDIf00YcXu6eW+5kyVt5KQI1wKPAJ6v/sauY4VIYO5N90CiOHURwpj7tzPqddSBsIDtFXPWmYFzJD3ddm4z72G4RNJatkubpNfRhfLjaZLew1S6U3ZtXVsk43wHItJ9GPBe2/elTOB1RLQuZ57ViMJ+iIL+ywvX8WlSNptavQ1DituHwfa/U4BqLcKo/nGDwM7rCRrdAenYv0zPTQyJkvIFejUAKxB70Fh6T83JqVMH7wf+0iCL8CbbByj6dC5DGJTHML3i7xQM+fz3VyiE5mQujyUUKG8hrrGzACStTATuxuHDwP8BN6UMBsRneTjlrINhCpa5Sm4j1XslPZLo65Sl1qdmtXVjFZcz8CWCxjyHoHa/0vZ5idp2LAX025TBXycZcxTSAgcp7sVOAoCkZxL71QuJ4MIfyKdHLkcv69kItQzbJunY3yKybHePHDgcf1BQJJ0clt2IPSN3LesS10UxvdLRV+2Lkg62/bYGa6+jccnBENt1DmGvvkNSlnBcwob19ybHbZKKzl2pzbbt6QhRTvN6IoD2ZEJdtEhojTi/7yaYek2DqZ1htgqRVA2kj01PbQ1cY3tsFErSqCbFCxE3i2fZ3rD1Qmc5FIXCvyPUGqG3IWRH09Tfo2dJwvG9rzZHSY+eDxEUtqcCPyXoEGc7UxVUUfy9NSHPuyZhqK+SQ0lTB8ICXUHSrwnHvXET5eRsrUyIGvy7yRxpnlbKj4k+Nghn0sc6gUJF7QgP4eNLepozZPeT4/dmehTVzQg6W3azcoUq6KoNnItq/JaEUf0L4vt8AeGAlmZVZhRqJ6hSpDI5Zq4rEiXwAELw6ESV996rr2UBYt95m/PFk9YhMlqnuCcosgrwMGfWcSnq16qebtc3NIrr8zXqQTVmzsfZHktZ1DS1dePOjeToPsb2Lweefz6h4jiWBq2a2rOkX9t+Wu21rPNC0na2vz5dNqEgi9AaipYHZ6WfC51otJljW19nyb64giiduIOBYGjJZ6GgqR5A1ICKCKzslhu0knQ+cS59372+m1OUvwvWsyRxD9jGdnYTe/XE1jYjHPM9iLYMOT1DR9mu2cJxw77bgvN7yjlR7VOSnmr7mpw1dAG17OmY5liCaK/0MuK8+imwj5Pqa8b4BYn72LzUryjCbM20vYegoVRp/qPIpIPknNiSsrNFiqLSzwCPJr70Imcl3aAPJm44z5S0KlF38oncNbRAKXd3CqaLrjbEVkR07xJH4e/jgK8Vrud6SQs6eokcqaBRjXXanIQFiHP+nLaGT0s0Lfyu4+VNB2qI8uMAfSBbRMR263OsLWx/FProeNXzN+U4bAk7Ea0gKsP6M0TLkWynjSiGX5hm/X0gbi5r2f5bWsOyRA1pttM2w/tNhTY1AE36Ak2HixWtX1YC9pT0cGotNjJRr2W+n6j93DJ3sO3zhjxXQnWq6qr7ao4kPbYkuJLG9Enlp+h9tlT+NHOebHvjHIctoWlt3f4M3+dvT68NE0QaRP27H9z/c6PXS6bfje+LwwzjvoVkOvO227CAHj2d45nmznG4Pk7vc3tYi7XgEJprJNlfm6MxvRKoVCRfRTATXk70bfvKyEFT0bjkoLJdk8P4n2TjVI7Dohnr3yatfSWFIEuFhxOU4BwMajfU603fTUF9Xgf3ota6FA6q7AfTTzFSMPtBSUi7S1MAACAASURBVHO6DHK1waxy2iQdTPS7uoOok5kntTLOkD6tYV/g1QXG3yC+SvTkOiQd+wpJ3wTmuRE1TeZhY/fq/bIh6XnAZQ4K13aERO7+LhPDuDtdBPcnA+ovRP1PLu5KG+tlkvYlitGLGiAT2bmDJf2TiFCeSWT7JikX/wkP6edF0Ley4HaNmDtVfhw0BtP6WhmDhccfpOM9gaDWlEjyiv6bfNV4vQR3EefmoCpoLq1lgcphS/gH5ef3jO03NbQRVFm2A2Oywk5EkOgGR6PYRxL1HtmYTRHWARxOGIZZ0DRS+YTIQRuUiiw0ra17jIeIZdi+UtKKmcdeTT1110rplfQ4aw91qtd0u9roUXL6Y0VZNE2dPWVsiwUJR6txkMT23k3HDkLDe8reTiiHn5QxRWN6paSXEbW/LyNa+RxNBM+atBfpouTgZ0TGsaLcLk5kHtcbM+4cwiZ6FP3n2J1ERnQsRu13tkuv9bb3ovOSo9RIlwLmBj7bipn8C7hS0qn0l4BktxnpErPKaSMi1RdL+qgzGi5PCH9t4bBBCHhcMBBtaVpX1gU+DhQ7bUTEZDUFV/zdBLXlGMIByMWlirqKI4hmoHdQJju9PWHEvoOIuCxP9D3Khu03ACSD4XVEg+z/ofBaULv6pz5nIkXSsvu4pDFDe4cMzj0M7lD5cR4agyX4BO0leY8EzpdUiR1tShjGJfg+/c3KS/GTRAWp08JLFf5mw37zGsJQ2Y34HpYCco3c1sZkBYdQzu+AVdRfQzsWCrXdFW2fnR7vQS+b8E3b1087eAIooWwldCGVXxlB2P57+l2q4jisti5HDXnpEa9ltT9wQf+ycVCLFjgdBAK6qLP/s+dBj74WtMvFiLKJ49Pj1xLlA6tJepHt3acdGXgrQa9cDvgT4eTktgv4CRFger5TLzQFpboYtj+QAspVycG/iZqoEizmWo2k7X8lmt+4Y/+eKJdYt/B4Q5EC5Kukh9eW0G8TGt2LUhD2COB+SQ8AW9ourUOr0IWYyXeZbAuj0bA9q36Ii+7bRLThdYS64ObA5oXzPLKj9RyQ1rNNk7UQRteTCEog6X/68Qx+vpc2HFet/yPATvXnGs63MrBGg3HLAsu2OO52ROTnHMLAfh+wbuEcuxHS0x9PP1cSTb/HjduTiHrdTzisd6TH/wA+VbiGy4FHVt8nEYk6vHCOizo4n35Nqo2dqZ/q/0ifyQLV3w3mWYMoVN4VePYM/S+b02sxsmmD8TO236Rz+Y6BnzvTz9+B84CXjJmj8Z4yZK7/TdfmrUQE/W7g55ljjwU2rj2+lghWfZgQsprE57kEsHDt8VOIYFXRvTCNPR54XMN1iFD/vIWgWd2avs+PFMyx8JDnFiWK+lfK/D7ePM13/O1JfB8Dxz2HKJvYknAwXgu8NnPs+2p/bzHw2idbrOn5wEGZ721kB8yredPesGDt8UIEPX1B4FcN59w9832rE6qivwVOJTL0vy881ovT782H/RTO9UtqthER0D03Y9zZ6ffgPnwncEfhGjYgHMAzCDbS74jewSVzNLoXEVnBp6a/nwuc0eJ8vLias/bchU3nmw0/M76AaT7oHQg1oqOICPiRhNBAyRzXpRvVRrQwKmvHP7LJWgglqNMI6tSfiAaaT5jBz3bthuPOIJyO3xB9chYArmwwz9PTd/Ka6idjTGujoTbXLcD5BE1qxYafxRXAkrXHS9Y3hYzxRQ7aNHO0dlTSjeo9RMbyEdVP4RyNjcGuftL19TCC934sEWg5J3PsI0b9ZM5xXPp9ZTo3+n4yxtdvsncO/GQ5O7W5ZtV+U1vXgsBqwFVj3teZMZm+j8UIWjdEJP+7mWMvmW5dRGZ9Ep/ZmcCT098rp73vQCKg+enCuU5P++ZP6WWEv585dg/CmF2p9twT01zvypzjR8AiQ55fFbgxY/xjCEfpF/SCGmcQhv1jJ/F9DKznshZjLxn297DHGXM9m8ha3pi+47HBwzSuaJ8vWM8nGo67FphTezyHyO403hOAmxqMWS9dYzcTTsdbMsd9LP1uZS+mOdYiHMiz0v59PfCcefF9jVjDxcBTao9XITlABXM0uhe1vSYGxp6Xfv+UoJM/G/ht5thNgF1qj88n2IA3AK+b5PdR/5lV9EhJzyBoeDcTzkXjBprESfZS4E2EnOtxwNecWQQuaXnbf/AQXrOkEnqCbb80FZcuYPtOlTf3awRJ7wb2sz23ANuRrn4ksK8z1Nxq2Iooct3J9l8krUDcLErW81WCpvMr+ptKj6OUvYvoRbOWe/SFJxK1ae+yvV/uGmw/Kp1n6wP/p5CBvdYDNWbj/hXa1T+dLGlJ99cHHuAhNYgj0EXvkK3S73pDV5MhOa0O+iZ1iKq/WRNJ3rrs9gqEYSuCjnUTeWI+rdqDeITYT6LOPpOgeeQooc3YfjNmUQ8AlytkrUfhJR0e9j+2/yMJSYvavkZSbn/EQTplfV2P6mh947CM7evS328AjrX9zkRbuhj4QMFce7dYx/aEjPjc5tGO3lzbETS0nP33EuDHkl7tXs+5DQiKfQ6l8K/Aeon6XF0HP7T986L/pDu0aYGjaf4e9njq4BB42Cb93EIwgeQC2qU7aMkiaQUP1LTb/lB67QW2c9sPQGgHXCbpF8RnsD7wybSPndZ0iaUDHDS8cxRqwi8lKOqHZozrrOTA9oWKNhTVXpVFTVR/z79h85Z85wvbvrY29jepVrAETe9FgyI5fY9dVtfcRszkfcT3X2FRwqFeknDGZ0TVeVZJ/iuk0HdzWfPTnHlfBHyd+LAvJxqsjmyAmIpJX2H7xoHndwQ+5EzZ0WEcb0kX2y6qYWoCSYcS3eB3cZJKlvR24mTc33bjru6SXgBsbXuXsW/ujfk1DeoqFAqRfUZDen5ZQkq7RMK7akb6QqIm7VFENOYNBXPsQRhR9fqnr+V+npKuILIOqxLqmYcRvO0XFqxhScJRET1H5RueXMP2kWv1BFsodIEUUDixMsIkvZKgJ+6cMXZ3IgtwiZv3QRx3jJ2dRBDGvG/G9pvZhlSfuCPRrPzFhEO+sDOEqBQS4tsPBvmSMXW07bXnwZIH13CFk6iEpF8SDay/lx5f7sy2A7X5qh6AEDL7fxv1/tq4aaXTR7025L0fIlT5XkmIPuxPUMcuyhk/m6BohbMkcC/RAgcyVaXr1+jg9ZpTE6aQ2j+LCKBen567wRNss1Idk1BX/Lx7SoePIbKgT7W95qjxQ+Z7HGGvQFDYbm65vptsr9BmjgbHvKj0/55mnmcSrKS6eMbIOvFUv1sFIB9HJD8qx9Ul54ekI4jAetVfbluCvjo2wFKbo9G9SNJHR73udiJA2ZB0oe21ao+/ZPsd6e/zbK8ziXUMYlZl2oDV3bDH0SBSNmk7Ikr4V+CdREZndYLSNc7j3wM4RdKrqminpD2JbNNY4zrd3J8BzFFNWp3w9EvV/hrB9lsUikoHSbqKoAddR9RwFWcxJT2b+P+3IDjOJxROcT6RAb123BsHsPCgwwZRDN8g+nN27edLtv9YOB7bX0gRwaolxY62Ly2Y4n7blrRJWsPhkrKynpIOIoQQ6v2Ksvq3TDNfU+XHPzGib1LT9ZRA/T0EYWofwuwegsA6rqlj2f5xKijPweMJA/SpCmW3XxJO3DldRLTTekY6bLNhv5ltsL1Z+nNvSacTgY3cBsofJbIp/0dkiSBqS/ail1md17hC0ueIa21lUlNwhZBHETS1B+CBknJ7AN7b8LU+2P6EpLuILKGIOqAZFXRpilHZ8Qy0VbHcnMgAnC7pJ0RT6y5bZeTiOQTF/rKUmXoWYTftS5S4lGIBgg6+ELCypJVtnzlqQO0eMOUlMgVqOsZpkt5DZD/rSoPZ94HktGxAOG0/IoIcZzNG3Mu19jsq7Ec5BG8jGDiVQuJZwJdzBra9F3XplKmFYBCwzMC63lF7uGwX62uCWeW0deWwJZxLUC82HTDML1I0+By3lh9JuoegdGxKFDyvTRRj5sjDP4WgSy1Nv7T6nZTLJLfBVYRC4yuITfHdJQ5bF1SMGg4nFPr+RH9T6XFqU50YDcTB5sohS1pGknIzf5KWsn1HoiHcmH6q1x5RsDHfmQIA2wHrJ1pFrvP5G+BzKSp5HEGZKnEY50LtlB+76JvUCi0Np0HcnDIB9chiVqTX9ntgrtrWmkRdxI7AoZJus/30Dtc5HWbLftMJJL0T+HrmXjtqnmWIms2qRvCZ9JywaWH7J8ngeB89w+UqIjN0VZs1FeDNhIO4IvAyJ1ohYcx9rnCuNj0AKydjENlS+erRqUUYPNcDX1BSlvNk6dSdQKHgu356+AtnttJxSxXLlG39XmJbbEJkkh+taJl0YtdMpRHruBXYOTlspxH75TpNAqGKvphbAVfTXzox0mnr+B7QBRqXHNTwOoKJc6ntHVP28utjxgyiFYUu2eJfSD+lmE33opMIh/M0Cvv2Ebbqm233qdtK2pky1fNOMavokV1C0pYe4BZL2sL28dONmWaeFxA0uHMICltRzw1J646jYs4rSNqekNo+hKAsrEZI3P8GeE8OPaZLKoak64D3EwIB9Tq7344Z9wDD67VEyOOOdXgkfYQQjLhG0qJEkfHqhJLj622P5c0rNZKt0RDq68imH0h6LJGxvND2WYr6wA0yM1zVHE8goq1bExHFYwkHLrtxrxrSVdPYPurAwGtX2n5W6ZwN1rAYIeO7MiH6cURTemJyxD9KGGGVsfDxwgjpHEJu+Xnp99KEWE+Tfj+NMJP7TZeQ9Ani3L6EkH/+ael5Kmkf4I1E4fhcQ9BlPXoeEhi8JlOg6PJJXKfpeA81OvWnCarpN9JT2xDiUMMCWZNYzzIEA2Yr213WhY465tKEguZzieDGRkTt524urDWUdC2waseB+2IkpsiTbR+ZAhsPc6qjn+AaLrC9tqSLCVXoO4Ff235qwRyNWi9o+h6AQH/QO2OuGb8XSbrM9uoNxz4a+B6RYKizLRYlkkF/7WaVheuajU6bpJcQ1KK7x755+jmG8WmzT+QB6tWiBG+9EpwYS72S9D7b+yoK76d8yJ5AYz5JJwG7uiZwoQhtvhV4b46TkbKMWxOGaEXFOKyeii9Yz4zxgCVdDTwz0RLfQtxkX0rQNY/yBGpU5hUSbfUI4qaXHcWVdDxxfjShyl5n+8nTvHa97ZVL52ywhm8T1+VZBIXk97ZbUdeUBGIKxxxK0EHuJCjA5xF1khNr2D4b9puukfaqlxFZyzWJzPLh44I8tfHXAs+yXZSNnx8gaW8XNDeW9FmihrbeA/AK2++bB8t7yENRl7y6k8iXQjDo0hKjdn6Hoqbty0R9/P3pudXTc7+3vU3BXD8m2h/8a+yb5xESLXFNQjVxFUUv1+NtP69wnqYlB9X4LxM07K0JAY1/EWqlI4N/6hfv2IOBLJkzBDxSMBjCzv0h4YjX58gWS1P0ujyQsB0h7tO7NcnENkUK/p3jZoJB1Rwvptf/9urSgETXmFX0yBp2IJQB/0l80WcSPSjGGkEKAYGNgOUkfbH20lIUNJntIO1eNeSesSJr21OaOqZo9cGSspRvOqZiXCTpaOAH9CsNtmlInIt7a5H6lwPfchRP/1pS1nUgaaTDb3sk7UrS2bafr6k8/OIarLTmVxIb+0uIWpW9M8d2ofx40TTUgf8lalYmgadXmQJJh9OCspButIcRrQNWUDRP39l2ToPWFYjAznVE/dEfgduarqUhZny/6RopwPIX4C/E3r0M8B1Jp2Y6G1cR2c4swY35DEXXmO33JrpnZUB9Je3t/0VzLE20YYCol/z/DesPGuC2LyNUPktpcHcRtXE/o/9eNMlg02aEJPwl6dg3SyqyA1uWHJCOW91zvqKoWVzK9hUZQ+tr/erA49xj1wP895Q4aUNwJPBNIgMMUQ5yJLBhzuBEuz2SCIYeRnw3H8ixOQeSLnspSp3uo4GtlZy0GXXU6piVmbYKKdLxOqKX1P/YHmtcJ2NrdULy+yO1l+4ETp9w9HtB4DNONS8PFTSlYqQNbRC23aRouQiSziPqEv9KCKE8x732AdfkUA8UYgbTYSK0K0kbElnCjQgn5VvASSXZoS6oSolnfyJRU1gZkGsCiwCb2f5L7nqaYjBz3pQSksaeT+w133cq4FaZMp6IaNx66eeZhEF3ru2Ralj/xVSkG/YORB3tYcD3bN+XaH3XOUO9V9KaRE3DVcxcO4oZxUCAaFCs4j9EP6gP2v7ZRBc2n0PSNoQIx+kwV6L+A7a/PaMLm08haah6s+3GIlsN1lDREi+xvUYKVJ9bSAlsU3LQKijcNdrcT9P4KQq3JXTFaryklwM7Ax8GjmmzpocCZmWmTdH/5QWEGtEtwJeIjNtY2L6c6Af0Dc8j+e1c2H5AUlFqfX5AcnwPJaN/yQAOsn1e/QlJk6JL7kYU3S9L9K6rHLaNgCwhDzcTX+lDcuSvLuGnD2BPInr17hYBiNbKj54dfZPqAgl1JbYm6pHY/oPUZ9dmFy6nm/RVkm4jxFhuJ4qx1yZq5SaC5Kh8EHgC/fSc+Y22tQwh+tEX6bX9oPL7ZB5F1Nz01dCWQO3Ux1pBUYc7HWx7n3FzjGKMqLwHYGsoasTPSSyH6rk1Jm2QtoXtYxUKwlVd7/snEah6qGKSztkIHCfpEGDplCl8E5GxKsFVwGNppqD8+RGvmWhbMk8x4Dgunkov5t4UC6/TW5ItX1GytwFKWhJVx92IcNau1sANeuwE0mbAz23fnh4vTegHzLcsg1mZaZN0CxEB/AqRHbuxYOxxtrfU1ILKypCbqPGSaITLEW0G6hKw353kOmYDhkVuNB/1kKrqhtLffaI2kj5pe6/MeU4C3umBxqSTgqSTgT1tXznw/LOAT9qe58qPsw2JLvwFIkD0XMLJX9P21iMHxthd6WXY7iPJ/aefK11rbj+vkeq43stUsZ82NJeJooPARjXPtGI5BXOcQwQML6bmxNsubXfS5NjvHvL0EgRj4JG2H9bRcbJ6AHZ0rLuAC4n6pUrJslVEf6YgaTmmBkdGqh3+F8OhqeJeAHjyvec2JOpoRYgfnZo5rl5ysDrBgpnvsvtdsolSfdyBhCiXifvhrrl2j6QjCdt5JUJEb0FCpTXbXhyW2VP7dggzilnptAFIegZBOXg+8GSiK/z2GeMeZ/vP6hVU9mHSxks68YYsY95HaqdDisbf7JbNKwuOtzZx4b6H6BVUYSlCkXO+yAKoZVPU2nvPJPjZF9DvyE9kYx9lzGpCyo+zDZIeBRxAiNOI6Im1mzOalUv6Aqk3mxuIunQJpbrJmVxDF+gisJG+l3uI/px1Ayo7WlxC55mXSLU1uwE7EYIsn3dmc+zZBEmXEjSnzxKKxOfMj0aUppGon1+M89kGRV/dCosR5RePsD0q29z1GvYAvm37Tw3GdqKOmuzWf9u+JbGQng9cPz9nhpoiUeFXB26wfVs6R5ZzXn1fNccVg/bl/G7jzFZ65FJEcf8TCFrKHPLpLUtKet4Q6tfziIL2icITlPsuwDuBVSX9xvZWY9/dHksCjyLOt3pTwjvpFanOD9A0fw97PAof7mAtbTCqOe9MNCSdUaTMzva2t20y3vYe4981MXxU0mHAYEH//JbZXwa4WiGS0zSwUTkCdQp2Kc3oZEkbuYX6WBsoWlHsQfQNPApYowUtejbAtk9OGeFvSzqClj2lZgibEiqDMypR/1DBkODY/grJ+4k5bUSW7BSFAN63CeXIXFn31iUHiQ79BsCSvkUEEH8BvErSBrZ3z5ynsYBHF9A0CsYVnCkuk6jwvwNWUbT3aYKLUvDuoPR4FyYnlDZPMCudNqL7e/XzJZdJhE7X9PcOJtT0tw7NAtnTQdh+Q1rbRBpT2j4dOF3SkbZvSMcWsIQL5dVnGJ7m72GPp59k5nsSzQblx1mDVHv6emC/mV5LB9gReCrRrL3epHZ+c9q6CGzsVO03FSSV0q12I9TH7iVEdxrVSzaBQqZ/c6J2+FmeQTn0DiEA29el+rYjiVYE8xtuIK6x/zptHWCglmoBQtRqovap7Y8BH5O0KpFFPUPSH22/NGP4dHbn7eTbnVsDTyMo0DcBj7V9l0Ip+rKc/yHhTbYPUAh4LANsDxxDsEcmgbqC8cdoWNOd7JHdgMcT//86wLmUBd3eSdxLKoGgU+lvfD7fYdbSIwEkLWH7rsIxs4r6JelUQjiiUk7cDtjWdpbsaYfr2JxItRs4aybS7Qq5/3cQ8t0XAI8EPuuM/iEdr6NRHxX1mnyLyEhV52Z2k+80z+aEQMKj09iJGYLp+DOu/DjbIGk/wgj7Nv2ZnflKIEHStbafMtPraIOU+TzNLYV/HgI1tA8STsH9tGwRMlsg6fm2zx54bv35pRaslkVYjqizmUmJ+ocMBmqp7gduBD5n+9oZWMtjCQbQ1sDDc8o3urA7B8ov+ijDheUXV9heVdIBRA3YiTNFQW5zXIUuxVpEz9PVJT2VqLnfvNNFzmeYlZk2SesCh9OsZ9Jso34ta7te1/Y1SVlp7q6gaNa4Mj0Vn7dK2tD2pCMOq9q+I2U1TgXeT0RlJua0qUUfFRc0rh6DfYFX2/712HfOA3h2KD/ONlR1Sx+vPTcRxa6OcY6kp9v+1UwvpClS5vNBSXOcVL9KkG7uzwDmpABJhaWIepmSuURQE1eyvY+k5YHH2W7cEzAXtheY18eYAXwRGDQ+9x/y3GxFlUW4mKiV/C86QNsATReQ9HZgS6KE43jgzQX7aBd259JpvxKwVG3vEmV9AC+WdAoh4LFnYlRNTAxrAG2yQv+x/R9JSFrU9jWSsgKSkva3vbt6AjH9i5qPa09npdNGbOIvJ22Kti+XtH7m2NlG/fqH2smedoEXA09zSqtKOooooJ40Fk6p/k2Ag23fm6LJk8SaNOyj0iH+OlMOWx0VbXWm1zGTkLSb7QOADw9mAOZTrEM0qf0dkQGYEdXcDvAv4MrEVKhnPnMyGU8h2i0sTT8t6U5Cvr8EXyYMnhcD+6R1HURP6v2/yEAKxK4HLJsEHyosRajCzRdwTZpe0iIEFdmEUNq9M7aw+RyS5hA0usrOOwP4eJOgTQssD+zuaBBeii7szjPo7Vdn0r93lWSid6In4HFXEvDI0lYYVo9W7bmqqWdPCH9USPR/DzhV0q1ArpBgxWz73DxZ2QxitjptbXom7Q6cKGlbhlC/ulthNt5E1LTtR0/2dNLiJNcTwi7VCb98em7SOIzgal9F8MVXIIygSaJNH5VWqEXOLpL0bWIzmp/FIh4K2JFQjRyWAZgf8YqZXkBH+C4N6/BsnwScJGld2+e2XMdzHY12L01z35qM9f+iDIsQzJmFCMGHCncQTe3nKyj6ex5CtCYSsJKidcKPZ3Zl8y2OIO7NW6bH2xP1jhOjwtneU9Jqkt6RnjrL0fc3B63tzq5E61oKeFw04rWsQLOkO+k5fkuov5dqNq3bdvW57Z3os3OAn2SOvTj9nmn9gM4xK2va1KJnUm2OOvXr6pmifkla1vbfZ+jYVWp4DhEZviA9fi5wge0NZmJdFRL1aOFJRijTxT8jfVQ0vP1DbQkz1wbi/1dIOpa4uf4PYYDNfYn5KEMlaalEPX7EsNdt/3PSa2oLSYsDKzSta5G0L/AJ4G7iZr8q8C7bXy+Y43wiQ3Rhct6WBU6ZifqQhwIkPcHzUc/A6SDpGmBj29enx08iKOategv+/woN76c10XYbin6bb6EXLNoMONT2gQVzzLjdOZ2Ahwt6rM0WSFqGSDLU9QfG1plLGtkWYH65rw/DbHXaGvdMmm2Q9BuiqPbbwAm2b5vgsTvpHdLBOraxfWzaFIet44uTWEday9DP5KEYkfkv8pAKz38KTHHc5xcDU9LJtjdWr0ltnaZgT7hJbVtIejVBbVnE9kqSVifoUtnBlcrok7QZQZfcAzjT9moFc2xLKMmtQUjuvw74kO3jC/6d/+/xUKsxGRSeSAHIC6YTo/gvRkPSucB7K4q6okXT52yvO8E1XAGs66RoLWlJwtmZrwz8rgQ8JL2GGl3V9g86Xuq44+8DvJFQaq33QhzrfEq6jNhnvgn8gAjczcX8cl8fhllJj7R9C1H8Pd/D9iqK5tJbAx+U9CvgWyXR3hbHni2OyDLp97Ij3zUBzORnopDwvt72IQPP70wIHXxgZlb2/zccapnZhvxshO2N0++VZnotHWFvYG2iTxG2L1O5XH+l5voqoufS7QOU+7Gw/Q1Fv6iXEI7wprOhHnU+xEOtxuQiST8iGp2bUBu8sKLA/5fqXoy3Aken2jaAW4meZZOE6C/DeYCy/quzBY0FPCpI+jTh+H0jPbVropvv1flqp8eWwJOaMLFqzuo2hOP2q/T7FNv3d7vMyWJWZdoUzQWng23vM7HFzAOkDOIXCMn/iRVfS1qHqKt7GsGxXhD4dy63uKM1LAjsMsms2jTrmLHPIhl/aw6KoEhaALjC9jOHj/wv5hVSVHLYJji/0SNH1uPlUEpmEySdZ3sd1SSjlaSsC+b4NNEE+W7CAVwaONn2czPGDqWZVpgf6aYzjXQPONoNm9jPJvyX6j5vIGkpgET1fq3tEyZ47D0IR/HE9NSmwFG2J9q/U9ISwLsJavibJT2ZaOR+cub4E4la7d0JAaVbiTKUjQrWcAWwuu0H0+MFgUsneT+UdALwNtt/62CurQgBqc/Y/mzrxc0gZpvT9u4hTy9JqOE80vbDJryk1kib0GZEpu1JxIZwXFUoOaE1XJSOfzxRv7MDsIrtYc0g5+U6LrC99iSPOWQNM/ZZSLpqOsdM0tW2nzGv1/Bf9EPSE0a9Pr/QKNTf52gQWZSS2QRJhxM9sD4AvBbYlTA83lo4zyOA2x1tBJYAlnJGH8IBmukKhOEjwvG76SGU0ZwoJJ0NvHiSdcz/xfwJSTfZXmHCx1yD6GcLIURy6SSPn9bwbULMZAfbz0z71jlN6vtSOcgc4Ccl11xy2jaoglNpePQolwAAIABJREFUH/3FhJ22Nfl/7d173K31nP/x13tvHYhOEqN0Fql26URNPzOiRoNENck5GT2MUWQUP4wJ48zPKHJKwtgUCqWDJJUou4N2SaIk5FCaNKXU7v3743ut9rrvfd/3vo/X91rrfj8fj/3Ya13Xvdb6dLfvda/v9f0c4OuUBjVT7j8gaQPKZ73nUt6/TwJOsd1287tZ1alFWz+V2RKHUxZsJwEfnI0Vd9uaX/6nUhZqM+1kNt0Yltjeqf9KtSoMW5T0IWABKw4wnrBodJZjqPa9kPQj4AW2rxt1/LHAYts7zXUMMTmSdgcOcvuzDIMHrja/GdiLslg6C3iH7bsn8dg9bJ+rkTPaHjCV1DVJn6L8ov9Wc39vSorkoZN9jlhO0ucoWQ7fYOTvgNZmdc4GSZsCrwE2YWSThIGqzesySTfZfkzlGGosHHufUfqzDH48xVrcaTXw6Hv8QcB7KCOBRKlte6PtL0/2OWZK0tWUDq1L6ZszN5kSF0nfo3SpPQn4KqPGbA1ypkTnatqaFf0RlJq2E4EdbN9WN6oZ2Wx0OlwFd6m0qb5CpaPazZTFU9t6Rdo79h0zy4td21Dze/HvwBmS3snItsBvoqQyREWSngi8gFKfcgPTbDlfm6TdWPHD5EqHx3eJ7bsoi7Y3T+Phfwecy8g5Rw88NVP7//pk2w/MdrN9RvO+EdPzi+bPAka2/h80pwLHU5oc1BpcPOxqf26COjVtf1XpnNubq7s5fTtNKzNeAw9KquSkuDSOO4/ln9mOmkyGwiy7awblNBtT/psPpXQE7VFzfKAac/Xr1E5b06jhecAngY8O+jYmgEqL6COBrYEHZma0ma7UpID9nlLD9TrKdvnH3LQrnk9qfy8kbQO8geVtga+idMla2sbrx0iStqQUKx8E3ELZBf432xOmTXaVpM9T0rCvYHlRvT25odTVSfrGROenkBqzANjf9kkzjOcs4AKg1zjqhcBTbP/DTJ53vpP0kGZhPpAkXTyZ2siY2Epqire0vVrLIY0Mos5O257AW4AnUDqn/y3wMtvnTfLx1wLbTicFuUu10U1m1j2UXfn+9MiBqs+ebV1btN1P+Z9zHyN/kKc0lK9LJJ1N80GQ0iHppcAfbR/VwmtvZPtXc/06k9XscO3LirsA76oQx+Mp/8auTX3F/NW851wAHOLlM5eu94C1yO+RdA3whA7s7k+LpD8CNwGLgYsZdaV7Mqkxfc+1ZKYpx03mx9tYng1wPnD0IKfX1CRpV8oO1UNtbyRpO+BQ2/9SObQpkfQC4LGUD9X5QDlNXagpbhqQjHkKeLPtCZsSzQVJD6fMVxOldf8tU3jstBt4jKqN3pEybLv3HtxqbfQ4ddoDV5892zq1aBtGki61veOoGqoRM17m8LUvs71Dc/urtveb69dcSTynA3dTUgMfaK1r+70txvBM4OOUFB0Bm1I+NJzRVgzRHZL2pRQr/y1lAPOXgE8PaqMJSScDh9m+uXYs09F0KduTsvO5CDidUu959TSe6z0s3z3tr5/KgqsSlWHl+wPf6KvXGbdBU1dJejfwYsrvkSnNkIpukfS2ic7bPrqtWHqaJhobM/Li9vmTfOyMGnj0PU/rfQ9Gvf5mtq9f2bH5pnM1bUPo3ubvm5sFw2+Btq7c9F+l7sLOwcYd+OX8QeCpfbsqm1M+GGbRNg/ZPhU4VWWQ6nMotYXrSzqO0oDi7KoBTt16wE8kXcIMfmHXYnsZZfF8pqTVKIu38yQdbfvYKT7dgc3f/c1kJlXPoHGGQPfFORDfzy6yfZNGzstbNt7XdtgBlHr1ZGkMuBqLsolIei/lvetqRtakTWrRRukF8V5GNfCYhto7Ol8BRqdrnszIngjzThZtc++dKgMjX0+ZD7YmpZaqDR7ndi0/lPQE2z+pGMMdo+rXrgfuaDMASQ+3fevKvzLaYvtOyvDNLzadtw4AjqKkPw2S/6gdwEw1i7VnUhZsmwAfYfnspEmb4W7psAyB7pqbmkY5lrQKpUP0IA4rv4oy/mHgOlpH5+1Lmcs26eYjo8ykgUd1KkOxtwbWGtUBeE36+kLMV0mPHGKSllHSggQ8GOgVfrdaIyjpcsqicRXgccB1lF2AXhwTFr/OUgy9H/49KWkHJzUxHUCZu9RaTYWk6yiNIk4AzhjU+qOI2da0hN8G+BbwJdtXzfD5ZtxJs6mB3bK5e63teyf6+hifpPWA/wKeTnn/Pxs4fNAuYjWd9RYBP2IAd7S7qOmYuJHta2vHUpOkM4ADptuIbyYNPCQdw/IL/M+nlAs8oI2GVpKeQ1m47kP5b+i5g/I74aIZPv9ptp81k+eoKYu2OSLpbNt7NbffZPvdtWOqpUlBHJftX7QQwwkTh+CXz3UMfbGI8qHl5ZSWuicBn7X9s7ZiiOEi6Q5W3Fm/hTJn56hB+VDcNIbp1Z/NqBnVbHTSlPT3lHSjXzYxPAZ46WTrS2I4qQwtXsFUGuXEcpKeTdndXtX2ppK2B94+nxbBfQumDYDtgO8wctE1qfetmTTwkPTSic7bPnEyMcwGSbt6DmYbS/qbQa35hiza5oxGDkZ8oCHIfCRpR2A922eNOv4PwB9sX95SHAspTRr+XxuvNxmSnkppJ74G8GPKAMsqQ9hjuDRpni8DdrN9QOVwWjcbnTQlXQq8oHf1vxkRsdj2vK6rmC4NyVBqSa8BvuDBniHbGc3P2R7AeX2fm5ba3rbFGFYD9mPFf5tvb+n1J1owebIZAsPSwENlHuY7gb9Q6pwXAa+z/YUJHzjkagxYni+yGl7ufcBYu0jX0mLtSNPk4KC2Xm88kh4u6XBJSyijIF5DaSDxekpdVcSM2b6tuUAx4U73ELsKeNQMn2OV/nStZjd8lRk+53x2KmXX8hhKU6jen0HzSOBHkk6S9AyN6qwSU3av7dtHHWv7M9TXKc2o7qPs9vf+tML2ic1O1tq9233H1pnCU31ljGMnz06UrdrL9p+BZ1HeM7agzLhdKUnPkfTqvvsXS7q++bP/nETbkjQimTubqQyKVd/tBwzalcUZWtP2DaMP2v6lyvDxNn1f0rGs2Aa8zfk6PwA+D+xr+9d9x5dI+niLccSQa5o9zKv3+b7Ojw9j5p00l0j6NCOHay+ZrVjnobsHuUlCj+23SHorsBdwMHCspJOA49tI9x9CVzez7xZKeixwGDCj2qVp2ND2M1p+zbG8lFL32e9lYxwbYQgbePQujj0TONn27VO4NnIkpSavZzVKKcoalF4CYy1sB8K8+mXesuf03Z7vncgmukr0kNaiKLZv/u5PeTAlNWPONSma37T9jrHOtzmzLobHqF/SPetQWkcP7C+oaZrN99tXUUYG9OpJLgA+NovPP9/8VzMXa+CHUtu2pN8Bv6PszqwDfEXSt20fWTe6gfMa4M2UfxNfBM6ipMa16SJJ29pe2vLrAiDpIOAFwKajLvI/DJjMbMnHUXal1gae3Xf8DuCfZyvOFn1T0k8p6ZGvai7w3z3Jx65q+6a++xc2dd23NuN9BlZq2mLOSfokcLPtt406/u+UblGvqBNZHZJ+YHvX2nHE8Bij0Y6BWyk1IqdXCKkaSVsAj7T9/VHHd6e8D2UnpJJhGUot6XDgJZRmP58GTrV9r6QFwHW252tK8pRI+rztF0s63PaEO0ktxPITSgreDYzsbr2opdffGNgUeDfwxr5TdwBX2r5vks8zJw08apC0LnC77WWSHkLJ2vrdJB73c9tbjHPuF4P885mdtmjD64HPSPoZ0Gs6sj1l+OPBbQQg6YhRh3rd9S4cK3Vzjl3RXEk7mZEpml9rOY4YErZb+TkaEB8G3jTG8dubc88e49wITdvpDW1/tLl/MdBL5T7K9iDWiHTBsAylXhd4nu0b+w/avl/SwLYTr2BHSY8GXt6M+xiR/2Z7MjtMs2XvFl9rBc2/pRuBmV7Qfa6kq5lGA49RXYhHdOyVdKHt3WcY20pJ2sP2uf3ZI6PSIifzOeliSf9s+1OjnvtQ4JLZibSO7LRFa5rOa1s3d69us8V9k5Iz2rrAPwD/YftLY5yfq1jGGj/Q6tiBiGEl6Ue2dx7n3KQ60kn6PvD8XoqNpCuAp9HURNh+2mzGPF9IOhV4pe2BHErdXO2/182sPkmPA/4RuDEX3aZO0mGUFOTNgN8wctFm25tViGl9+mrAbP+q7RhmQtIVtreX9FxKuuQRwPm2t6sc2qRIOtr222byOan5f3gqZce0l3q9I6W2bV/bv5+1gFuWnbZoTbNIqzKLzPbRYx1vtt/PYdQQybnS1LRd2aWxAxFDZu0Jzj14ks8xtDURla0N/FTSoA6lPhM4BLiuScP9AfDfwLMk7Wx7rB3eGEfTlOYjko6z/aqasUjah9LJ9NHAH4CNgWtYfqF5UMykgUd1zYJtAXCG7ZOm+Rx/AHaTtAfL//+dbvvc2Yqzluy0zZG+DmZjuYeS0//RUR8MooL+mXotvd4ltndp6/Ui5hNJi4Fzx0iNeQWwp+0DJ/EcQ1sTUZMGfCh1/06tpHcA69p+taRVgUvbnCs2jGruckn6MaUh2Tm2n6gyQ/VFtg9pK4bZIOk9wL6U9MhdKBdKTrP9pCk8x4aUsRy7Uz7HXgAcPqrb9ZyStMT2Tm293qDITtvcmaiD2YMoq/+TmHn+csxA88bc9oDULowdiCEk6ZHAu4BH295b0hOAXW0fXzm0Nr0WOEXSC4FLm2M7AasCz53kcwxtTURNoxdnTXOYg4CBWLQx8kLsHsD7AWz/VdL9Yz8kVkbSs4EPUXeX617bt0paIGmB7e9K+nCLrz8mSScCd1Eu8l+1sq+3/UaVwdS9Bh53MrKb+WScQOnieUBz/0XNsT2n+DwzcY6kf2PFz0lt1jl2TnbaWtCbRWb7j6OOf3o+dU6U9Ang2P6WupLeYnvOW/tKWsqKO5/rAr8FXmL7p3MdQ18s3x3j8MB1UIvukXQG5Zfrm21vJ+lBwOXzcQeguSCzTXP36qmkxgxzTURtkp5IaW1+AKVT31dtH1s3qsmR9AVKi//fUDr8bWr7LklrA98blLqhrunCLpekcyg7VO8G1qMsHne2vVtbMYwT187ARsAuto+a4OtWaODRbyo1l726uJUdm0uSxmoQV6XOsUuyaJtDTfOL1wALKAW29wHH2H77hA8cUpJ+Q2lD/h7bX2yOXWZ7hxZee+NRhwzcavvOsb4+YhD1mnD0p/y2/ct2mIyqiZjSwi+Wa5pQHdT8uYVy9fzfbI9+X+40SQ8GDgf+BviM7R83x3cDNrf9+ZrxDapeKlyzeHti04Xzx20ugpta1bspn9VeCKwF/HdTy9oaSTtMJ+tmNhp49D3XdygX/xY3hw4CDk4DpvqyaJsjTYv5vSmdsm5ojm0GHAecOR8bUUi6jHI17YvAdZSuRkvarCfrgqSwxVyRdB6wH/Bt2ztIejLwXttj1hJFtKFJHbwAOMT2z5tj18/3q+ZRdHWXq4YmE+dRwFeAL08mJbLvsQuA/afbwKPveTam1LTtSrnAfRFwWNudNJuLIZvQV8pl+3NtxtA1WbTNEUmXU4rebxl1/BHA2fNtoQLLG36otDJ6B/AUYIP5VtSfFLaYK5J2oPyy3Qa4ijJbbH/bV1YNLOY1SfsCzwf+ltKB8UvAp21vWjWw6IRml+svlKykVne51Mwf08gZZTBqTlmbJD0K+CfgQGBNyuJtUmUkw9LAQ9Lngc2BK4BlzWHbPqxeVPVl0TZHJF1le5upnhtmkt5p+y199/cFjrD9lIphtS4pbDGXmosAj6N86LjWzUypiNqaD+fPoaRb7QF8DjjF9tlVA4sqmrEJj7T9/VHHdwdutv2LOpF1g6RtgSOBA22vOsnHvIflKchTauAh6RjG73pOmwsmSdcAT3AWKSOke+Tc+es0zw2zOyU92vZvAWyfqjInbb65U9LDad4cmxS22+uGFMNgjCL0LSXdDiz1gA40juHR1BB/EfiipHUozUiOArJom58+DIw12+725tyz5zqAlX0GabtboaStKDts+7N88fX6KTxFb6TJq/uOmTLAfGWW9N0+GnjbFF53tl1FSRO9uWIMnZOdtjkiaRl9Vzn6TwGr215ljHNDTdIfKbnqr7J9fnOslUYkXZIUtpgrkk6n1CH0OpT+PaXt/abA29MoIWLmmsYqb6C0pu+vt0kH4CnoZZ2Mc+6BmXhzHMMNlEXNWBOoW+9WKOkHlPThk3sXuGtQy/Nr+163N+P4YcD2lBEr9/TO296n7Zi6JDttc8T2wtoxdNCvKXOSTpb0xaYZy1hvlEPN9mUqQ2aTwhaz7UHAVr2W9E3Tm88BTwLOB7Joi5i5k4GPA59ieb1NTN3aE5x7cBsBdK2u0vauKsPat2x2Aaf8+WCWGnjU2tGZaMbxvJdFW7TJtn/ZLFg+IWkxsHrtoNoy3vwUypvzlOaoRIzjMaNmiP2hOfYnSbkwEDE77rN9XO0ghsASjT3E/hWUDIE5J+nxtn/aZMCsYDrt92cYz99RLrT9knJR9zGSXtrLTprE48ds4NE85yD4DRPUOdYJqTuyaIs2XQFg+y7gxZIOp3QTmy++QvkeXNHc799lNJBFW8zUeZJOo+wEQGn/f17TAOJ/6oUVMVS+KelfgFMYmbrVav3TEHgtcIqkF7J8kbYTsColK6cNRwCvBD44xjlTGua06UPAXravhQdScRcDO07y8TsxzQYeozpoPkTSn3unaK+TZvU6xy5LTVtES/raXm8BfB1Y3JtZFDEbmnEa+7H8Ysj3ga+mA1fE7GnqoEZrvf5pWEh6KqXGG+b5EHtJV9petLJjEzz+ZMpMtYHclepCnWOXZdEWrZG0OfCfwBNYnhZp24+rF1X7+tpeHwg8nDKv7Xt1o4qIiJifJP0CeL/tj/cdO832s1qO4zPA/cAXmkMvBBbafvlKHjcUDTwkXWf7seOc+7ntLdqOqUuSHhlt+izwTkqh6d7AwdQrdq3pbspW/58p3cfmTV1fzK2mbvK9wPqUlJZqA2IjhpmkbRh5AXI6zR6iO+4FnirpScChtv8KbFAhjldR2vX3ZqJdAHx0Eo8blgYe1escuyw7bdEaSZfa3rF/i1vSEts71Y6tDZL2oKRH7gKcA3zJ9pKJHxUxeZJ+Djzb9jW1Y4kYVpLeRhmn8QTgW5SLkBfa3r9mXDF9vfFDko6kpJgfAJza9kgiSTvavnTUsWfZPm0ljxuKQeVNx+NTKPOMV6hztP27WrF1QRZt0RpJFwG7UxpunEnpEvSB+ZIeKel+4ErgQsoO44gfPtuHjfW4iMmS9H3b86m5T0TrJC0FtgMut71d80HzC7b3rBxaTFP/XDJJTweOBda1vX7LcVwGvMT2Vc395wOvs/2klTzuNOBNtpeOOr4t8C7bA9XAI3WOY0t6ZLTpdcAalG3//wTWAibM0x4yB9cOIIbeEklfBk5lZD1DOpNGzJ6/2L5f0n2S1qQZrVE7qJiRf+/dsH2OpL2Al1WIY3/gK5JeAPwf4CXAXpN43CNHL9gAbC+VtMmsRtgC298Fvls7jq7Joi1aY/vi5uYdwItrxlKD7RNrxxBDb03gLkb+ks84iYjZtUTS2pTh2pcC/wv8oG5IMRO2vylpHeCxLK9TPK9CHNc3u2unAr+itP//yyQeWn1Qecy9pEfGnJN0CuM3HLkH+AVwnO3ftBdVRETEzDS7GGvavrJyKDEDTaOLw4ENKbNUnwz8wHYrc9qalNv+z0nrUxqW3QOwspb/khYD547TwGNP2wfObsRRQxZtMeckPW2C0w8Ctgb2Sy1OxMxIOoExLpCsrF10RExN06l1d8rP24W2T6kcUsxAs2jaGfih7e0lPZ5SC/a8ll5/44nO275xJY9PA495IOmRMedsf2clX3JWUywbETPT32FsdeC5wG8rxRIxlCR9DNgCWNwcOlTS022/umJYMTN3275bEpJWs/1TSW02SbvN9p8lrTudB9v+PbDbqAYep6eBx3DJTltEyyRtCRxHKRzeRtIiYB/b76wcWgwZSQsouwC71Y4lYlhI+imwlZsPUM3P2dW2t6obWUxXU8ZxMPBaYA/gNmAV2//Y0uufZvtZkm6g7N6q77Rtb9ZGHNFtWbRFtEzS94A3AJ/oazF8le1tJn5kxNQ0V4pPt71F7VgihkXTXv3VvZS1JrXt2EFrqx5jk/R3lO7WZzZDtiM6IemR0bom9eCelX/l0HqI7Uuk/gtp3FcrmBgeku5g+VVaA78DjqoaVMSQkPRNys/Vw4BrJF3SnNoFuGTcB0anSVpI2Sl9PIDt71WOZwNgY/o+o9s+v15E0RVZtEVrJO0CHE+5grWRpO2AV9h+Td3IWneLpM1pGkZI2h+4uW5IMQxsP6x2DBFD7AO1A4jZZ3uZpGslbWT7VzVjkfRe4EDgJ8Cy5rCBLNoi6ZHRHkk/pLwZnTqf0wIlbQZ8EtiNkjd/A/Ai27+sGVcMB0n7AE9p7p5n+7SJvj4ipq7p1rdzc/cS23+oGU/MjKTzgSdSdkzv7B23vU/LcVwLLJrn2Ugxjuy0RZsW2L5xVFrgsvG+eFjZvh54uqQ1KN+TO2rHFMNB0nsoHyT/uzl0uKTdbP/fimFFDBVJ/wS8nzJ8WcAxkt5g+ytVA4uZeGvtABrXA6vQzGeL6JdFW7TppiZF0k0O+WuAn1WOqXWSVgP2AzYBHtRbxNp+e8WwYjj8I7C97fsBJJ0IXA5k0RYxe94M7NzbXZP0COAcIIu2AdVfxyZpPeBW10lFuwu4QtJ36Fu42T6sQizRMVm0RZteBXwE2Aj4PeWX3KuqRlTH14HbKQMwczUtZtvawJ+a22vVDCRiSC0YlQ55K7CgVjAxfZKeDLyH8p75DuDzwHrAAkkvsX1myyF9o/nTL3VMAWTRFi1qfsk9v3YcHbCh7WfUDiKG0ruByyV9l5K29RTgjXVDihg6Z0o6i+XDtQ8EvlUxnpi+YymZCGsB5wJ72/6hpMdT/v+2vWhb2/Z/9R+QdHjLMURHpRFJtKZJOXg5TVpg77jtV9aKqQZJnwSOsb20diwxfCT9DX0NEii7Ar+tGFLE0JH0PGD35u4Ftk+pGU9Mj6QrbG/f3L6mf0C6pMt7TdNajOcy2zuMOtZ6HNFN2WmLNn0d+CFwIfOwAYmkq4D7KT93B0u6npIeKcC2F9WML4aD7ZvpS6+R9CtKSnJEzFBTj32O7acCX6sdT8zY/X23/zLqXGu7GpIOAl4AbCqpPz3yYSxPd495Lou2aNMatl9fO4iKNgC2rx1EzDta+ZdExGQ0M73ul7SW7dtrxxMztp2kP1PeJx/c3Ka5v3qLcVxEmde6HvDBvuN3AFe2GEd0WBZt0aYzJO1l++zagVRyg+0bawcR805y4CNm1/8CSyV9m5EzvdLhb8DYXlg7BoDms8GNwK61Y4nuyqIt5pyk2ygfHAUcJeku4K8sTwtct2Z8LVpf0hHjnbT9oTaDieEh6RjGXpyJ0k0yImbP10hqZMyBppvlMcBWwKrAQuBO22tWDSw6IYu2aMO2lG3/+W4h8FCSrhazb8k0z0XEFNk+sXYMMbSOpXTZPhnYCXgJsGXViKIz0j0y5txY3ZDmo3wfIiIGl6TnUEa2fLS5fzHwiOb0kbYzXDtmRNIS2ztJurLXnCzdI6MnO23RhuwsFfk+REQMriMZOWt0Ncp4jTWAE4As2mKm7pK0KnCFpPdRspQyuD2ALNqiHRtIGrdey/a4dV5D5mm1A4iIiGlb1fZNffcvtH0rcKukNWoFFUPlxZRF2r8CrwMeA+xXNaLojCzaog1/Aa6uHURttjNrJSJicK3Tf8f2v/bdfQQRM7cION323cDRtYOJbsmiLdpwq+3jawcRMewkbQkcBzzS9jaSFgH72H5n5dAihsHFkv7Z9qf6D0o6FLikUkwxXA4EPizpq8BnbP+0dkDRHWlEEnNO0o9s71w7johhJ+l7wBuAT/QK1yVdZXubupFFDD5J6wOnAvcAlzWHd6TUtu1r+/e1YovhIWlN4CDgYMoolxOAxbbvqBpYVJdFW0TEkOhdIOnvNibpCtvb144tYlhI2gPYurl7te1za8YTw0fSwyn1ba8FrgG2AD5i+5iqgUVVSY+MiBget0janGbQtqT9yYzEiFnVLNKyUItZJ2kfyg7bFsDngF1s/0HSQ4CfUAZvxzyVnbaIiCEhaTPgk8BuwG3ADcCLbP+yZlwREbFykk4EPm37gjHOPc32dyqEFR2RRVtExJBp2o8vSA1ERMRgkLQv8FjgSttn1Y4nuieLtqhG0tLm5kdtf7xqMBFDQNJqlJk+m9CX/m777bViioiIiUn6GKVO8iLKTNdv2n5H3aiia1LTFjVtB6wPPKl2IBFD4uvA7cCllA53ERHRfU8BtrO9rKlfuwDIoi1GyKItqrF9P/A7ygfNiJi5DW0/o3YQERExJX+1vQzA9l2SVDug6J4s2qI1knamdD7aijLXRsA9ttesGljE8LhI0ra2l678SyMioiMeL+nK5raAzZv7Amx7Ub3QoiuyaIs2fQx4EfAlYBfgZcDGNQOKGAaSrgLup7ynHyzpekp6ZH7hR0R031a1A4juSyOSaI2kS23vKGmp7W2bYw8MAY6I6ZF0GzDuAG3bN7YYTkRERMyy7LRFm+6UtCrwY0nvogz9XVg5pohhcEMWZhEREcMrO23Rmmbw72+B1YHXA2sBx9r+WdXAIgacpF8DHxrvvO1xz0VERET3ZactWmP7+ubm3cBba8YSMWQWAg+l1LBFRMQAkvQ84HTbGdkSK8hOW8w5SYttHyTpcmCFf3C2d6gQVsTQkHRZfo4iIgabpBOAPYDzgS8DZ9q+r25U0RVZtMWck7Sh7V9L2nys87Z/0XZMEcMkDX0iIoaDpFWAvYEDgd2Bb9t+Rd2ooguyaItWSFpIuWK0Z+1YIoaNpHVt/6l2HBERMXPNwu0ZwMHAU2yvVzmk6IAFtQOI+cH2MmD5HlCrAAAFqElEQVShpAzSjphlWbBFRAw+SXtL+ixwHbAf8GngUVWDis5II5Jo0+2Udv9nA3f2Dto+ol5IEREREZ3wEkot26FpRhKjJT0yWiPpkLGO2z6+7VgiIiIiIgZFFm0REREREZVJejJwDLAVsCplnMudtlNaEkmPjPZIuo6xW/5vWSGciIiIiC45Fng+cDKwEyVdMp+RAsiiLdq1e9/t1YEDgLUqxRIRERHRKbZ/Lmlh08DthGbG7ZtqxxX1ZdEWrbH9+1GHPiBpCfDWGvFEREREdMhdklYFrpD0PuBm0uk9Glm0RWskLeq7u4Cy9b9apXAiIiIiuuTFlDq2fwVeBzyG0vo/Io1Ioj2SLui7ex9wA/AB2z+pFFJEREREROdl0RYRERERUYmkpYzRqK3H9qLxzsX8kUVbzDlJx9s+pLn9IttfqB1TRERERBdI2nii87ZvbCuW6K4UN0Ybnth3+4hqUURERER0jO0bm4XZLcBNze3VgO2A31YNLjoji7aIiIiIiPrOB1aXtAFwNqUxyWerRhSdke6R0YYNJX0IUN/tB9jO7ltERETMd7J9l6RDgI/Zfp+kK2oHFd2QRVu04U3j3I6IiIiIQpJ2BV4IHNIcW1gxnuiQLNpiztk+vnYMERERER33WsrF7VNsXy1pM+C7lWOKjkj3yIiIiIiIjpD0UADb/1s7luiONCKJiIiIiKhM0raSLgeuBn4i6VJJW9eOK7ohi7aIiIiIiPo+ARxhe2PbGwGvBz5VOaboiNS0RWskrQa8DNgaWL133PYra8UUERER0RFr2H6ghs32eZLWqBlQdEd22qJNnwM2AZ4FXAxsDtxdM6CIiIiIjrhe0lslbdL8eQtwfe2gohvSiCRaI+ly20+UdKXtRZJWAS6w/eTasUVERETUJGkd4Ghgd8DABcDRtm+rGlh0QtIjo033Nn//j6StgN8D61eMJyIiIqI6SQuBN9s+rHYs0U1ZtEWbjm+uIr0NOAt4SHM7IiIiYt6yvUzS7rXjiO5KemRERERERGWSjgM2AE4G7uwdt/21akFFZ2SnLeacpINsL5Y05pa/7Y+0HVNEREREx6wO3Ars0XfMQBZtkUVbtGKd5u9HVI0iIiIioqNsH1w7huiupEdGRERERFQi6Ujb75N0DGVnbYQ0JwnITlu0SNJ6wMsps9oe+LeX4doRERExj13T/L2kahTRadlpi9ZI+j7wQ+BSYFnvuO0vVwsqIiIiIqLjsmiL1ki6wvb2teOIiIiI6ApJ35jovO192ooluivpkdGmMyTtZfvs2oFEREREdMSuwE3AYuBiQHXDiS7KTlu0RtJtwFrAXcBfKW9Ktr1u1cAiIiIiKpG0ENgTOAhYBJwOLLZ9ddXAolOyaIvWNG9KK7C9bKzjEREREfOJpNUoi7f3A0fbPrZySNERSY+M1theJmktYHPKAMmeiyqFFBEREVFds1h7JmXBtgnwEeCUmjFFt2SnLVoj6RDgCGADYCmwM/BD239fM66IiIiIWiR9DtgG+BbwJdtXVQ4pOiiLtmiNpKXALsAPbG8vaWvg7bb3qxxaRERERBWS7gfubO72fzDv1f6v2X5U0TVJj4w23W37L5KQtKrtqyU9rnZQEREREbXYXlA7hui+LNpizkl6kO37gJslrQ18EzhL0p+AX9eNLiIiIiKi25IeGXNO0mW2dxh17GmU9v+n276nTmQREREREd2XnbZowwpDIm1/p0YgERERERGDJou2aMMjJB0x3knbH2ozmIiIiIiIQZJFW7RhIfBQxthxi4iIiIiIiaWmLebcWDVtERERERExOWkxGm3IDltERERExDRlpy3mnKR1bf+pdhwREREREYMoi7aIiIiIiIgOS3pkREREREREh2XRFhERERER0WFZtEVERERERHRYFm0REREREREdlkVbREREREREh/1/UVxR+xmCdnoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.Artists.value_counts().head(50).plot(kind=\"bar\", figsize=(15, 4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Number of tracks by Wham!\n",
    "How many releases of the original wham! track?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Album</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Last Christmas - Remastered</td>\n",
       "      <td>Twenty Five</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>LAST CHRISTMAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Christmas Hits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>George Michael &amp; Wham! Last Christmas: The Ori...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Last Christmas - Pudding Mix</td>\n",
       "      <td>LAST CHRISTMAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>The Classic Christmas '80s Album</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Xmas Hits</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Last Christmas - Pudding Mix</td>\n",
       "      <td>The Final</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Last Christmas - Single Version</td>\n",
       "      <td>A Very Special Christmas - Essential</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Caroling at Christmas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>21 Classic Christmas Favorites</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Christmas Eve</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Holiday for Kids</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Santa's Happy Hour</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Santa's Tipsy Tunes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Relaxing Christmas Music</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Julmusik - Julsånger för alla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>God Jul - Julmusik för alla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Julsånger - Julklassiker för alla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Last Christmas</td>\n",
       "      <td>Family Christmas Singalong</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Name  \\\n",
       "0       Last Christmas - Remastered   \n",
       "1                    Last Christmas   \n",
       "2                    Last Christmas   \n",
       "3                    Last Christmas   \n",
       "4      Last Christmas - Pudding Mix   \n",
       "5                    Last Christmas   \n",
       "6                    Last Christmas   \n",
       "7      Last Christmas - Pudding Mix   \n",
       "8   Last Christmas - Single Version   \n",
       "9                    Last Christmas   \n",
       "10                   Last Christmas   \n",
       "11                   Last Christmas   \n",
       "12                   Last Christmas   \n",
       "13                   Last Christmas   \n",
       "14                   Last Christmas   \n",
       "15                   Last Christmas   \n",
       "16                   Last Christmas   \n",
       "17                   Last Christmas   \n",
       "18                   Last Christmas   \n",
       "19                   Last Christmas   \n",
       "\n",
       "                                                Album  \n",
       "0                                         Twenty Five  \n",
       "1                                      LAST CHRISTMAS  \n",
       "2                                      Christmas Hits  \n",
       "3   George Michael & Wham! Last Christmas: The Ori...  \n",
       "4                                      LAST CHRISTMAS  \n",
       "5                    The Classic Christmas '80s Album  \n",
       "6                                           Xmas Hits  \n",
       "7                                           The Final  \n",
       "8                A Very Special Christmas - Essential  \n",
       "9                               Caroling at Christmas  \n",
       "10                     21 Classic Christmas Favorites  \n",
       "11                                      Christmas Eve  \n",
       "12                                   Holiday for Kids  \n",
       "13                                 Santa's Happy Hour  \n",
       "14                                Santa's Tipsy Tunes  \n",
       "15                           Relaxing Christmas Music  \n",
       "16                      Julmusik - Julsånger för alla  \n",
       "17                        God Jul - Julmusik för alla  \n",
       "18                  Julsånger - Julklassiker för alla  \n",
       "19                         Family Christmas Singalong  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Artists.str.match('Wham!', case=False)].reset_index()[['Name', 'Album']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Add to playlist\n",
    "Get one track per artist and track name - as there are multiple releases of the same song but we want the remix tracks.\n",
    "Create a playlist, starting with the artists who has the most songs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "scope = 'playlist-modify-public,playlist-modify-private'\n",
    "token = util.prompt_for_user_token(os.environ[\"SPOTIFY_USERNAME\"], scope)\n",
    "sp = spotipy.Spotify(auth=token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = sp.user_playlist_create(os.environ[\"SPOTIFY_USERNAME\"], \"Last Christmas 2019\")\n",
    "playlist_id = result[\"id\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "unique_track_ids = df.groupby(['Artists', 'Name']).agg(count=('Id', 'count'), first=('Id', 'first')).sort_values('count', ascending=False)['first'].tolist()\n",
    "\n",
    "track_ids = [f\"spotify:track:{track_id}\" for track_id in unique_track_ids]\n",
    "size = 100\n",
    "for index in range(0, len(track_ids), size):\n",
    "    results = sp.user_playlist_add_tracks(os.environ[\"SPOTIFY_USERNAME\"], playlist_id, track_ids[index:index+size])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Listen to the result\n",
    "Set shuffle mode in the player if you want to stray off the beaten path."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://open.spotify.com/playlist/0NeQ9yv6u6jkX2T6MzJDZv\n"
     ]
    }
   ],
   "source": [
    "print(f\"http://open.spotify.com/playlist/{playlist_id}\")"
   ]
  }
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