outlier-detection.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import glob\n",
    "\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "path = r'/home/ubuntu/new cels/T193 new' # use your path\n",
    "all_files = glob.glob(path + \"/*.csv\")\n",
    "\n",
    "li = []\n",
    "\n",
    "for filename in all_files:\n",
    "    df = pd.read_csv(filename,delimiter =',')\n",
    "    li.append(df)\n",
    "f= pd.concat(li, axis=0, ignore_index=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "f['PERIOD_START_TIME'] = pd.to_datetime(f['PERIOD_START_TIME'])\n",
    "f['target']= ((f['Avg MCS PUSCH trans'] < 14) & (f['Avg RSSI for PUCCH'] > -95) & (f['Avg SINR for PUCCH'] < 2)).astype(int) # target2\n",
    " # MANUAL FILTER USED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = lambda x: f.pivot_table(index='PERIOD_START_TIME', columns=('LNCEL name'),values= x)\n",
    "f_2 = r ('Avg SINR for PUCCH')\n",
    "f_3 = r('Avg SINR for PUSCH')\n",
    "f_4 =r('Perc UL_SCH TB RTRANS')\n",
    "f_5 =r('Avg RSSI for PUCCH')\n",
    "f_6= r('Avg RSSI for PUSCH')\n",
    "f_7 = r('Total E-UTRAN RRC conn stp SR')\n",
    "f_8=r('E-UTRAN E-RAB stp SR')\n",
    "f_9= r('PDCP SDU Volume, DL')\n",
    "f_10=r('PDCP SDU Volume, UL')\n",
    "f_1 = r('Avg UE pwr hr PUSCH')\n",
    "f_11=r('target')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/anaconda3/lib/python3.7/site-packages/pandas/plotting/_matplotlib/converter.py:103: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
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IkROrVjVpQB2IWMQEQRCERYcuSB8sVqxIJmxKJS+eOsgg+4OuRqUYINrEE/d+kvG2ezFXTzzGibAQ4poMIEJMEARBaA9SjBGrJ0g/WPLCYopBhrk5IMYiG113nTLWGQO0AqQTi7nqxa6emRnfHyLEAogQEwRBEBYd9QTpa61T9AXivoyNrp9ymvGX/4u+zliE8OjEYq7ViMRs1veHCLEAIsQEQRCERYe27yOziYL0jdYpL+6rKCC8+mKqaxmnL7gIRZbJux7BftZ/6DcQITxMfSrbuZhrNSIx0PRcKusHECEmCIIgLDpKfR+94qhMMs41ieLDjNapJHFffrFlEl6a5aHxWtOJi7k6DtEFVBtENSIxl9MsFIsYIEJMEARBaDUNmpBtm3JFfC5K3JbIaE2LivtKwcoTGO8Zv5pYhA0PE11AtUHYNvT3x68XsuyJRSyACDFBEAShPWiTCdpoTWOva3363FbX+lSZTRlHAwRnq7Mtt26Fbk5o3lFgaNPkfOMC14L3L7c01YLXrogQEwRBEIQKdNY0hyHX+jR3rmt98rIpC68vf1CpyGB0hyEGf/dpZDKkIkJanW1p27CSo5p3LHJMh9o0OQ4M33RxSyx47YoIMUEQBEFIwBhb9NmU6i8TZQI6p17nVqB/pAeliBYhCa2D7ZBteQi9f3KKXEhsjo3B3Mlg3bF2r5fWaESICYIgCK2lDYO2AwHwRRekqZr+NBcmEk5jJ94T34fRI+E5yeehd3khsKzZ2ZbmJAYrJDZbbcFrR0SICYIgCO1Bm8SIhQLgiy7IVcxo11dYDD50ZzlezHAc0+oC/fI6RIhtw/jmqXI8myYmq5E4DhyjDzcmTI9fbLaDBa/dECEmdASldiMpxVUIgiCYMBV0hbD1ycViqnCBGy/22V7N+y4D1kP65XWKEPvlh8rxbJPNFWHDwzDDuZiafXt4YjOfh95lpwPvtXu9tEYjQkxoe4LtRmLiKgRB6Fice5/ZFg9cJgvVIfoZ3zxZrKYftgDN0cfYB88xbjffc32oLVIni5BqWhx5YtO2YXzkBy2z4LUjIsSEtqfV6dmCIDQYpdyMxM+uDTxwXXml6+VrtiiLKuhqrz0cWU9s+hFfILovzstxYOzU9cxxBlkKwAK5s5/oaBGS1KVqWUGxaf/2f7sWvFf9YVMteO2KCDGh7ZHgTkFY/Iyxhbn5nsAyT8ekZQV3GEpkcYsq6Orctophbsbkihs4/3RoWcmqrwaADAWy9HKc/MvvTEeEtCi2LolL1bJg40aD2GqTmMBWI0JMaHskuFMQFj+mjESPeq3gDkNu6YgEIQ5RBV03ffDCUOajRy+z5K87hPPD57oZl+8eY3AQNm0yNBH/0m/VfkBtgE6wdnOCfh4rnbc9e2D79taMr1MQISa0PZ3YDFcQlgJpJtEk6eNYjxV8jC3JS0dgLug680TWsAfFONcAMLzvNcWMS7d8w4w+2ZLpwytrPJr2QCdYd3E1B1lTPm9RFr82LFvSCkSICW1P6McuwZ2C0HJSTaJRijyb6c2ejFytHiu4sQbYdHJBuYmtmFySua6HsdnL2IdWMXe6R7tOJQNnH0m0XiwtdPHV1M9TXJIBRIgJHUHgxz4pIkwQWo0piWbTptqsZDZ7Gf/NXWQJx1hBOOC7WkwWt1WrkgvKGVYbtq7In/NBHIaYerjLsE6QXmbJv/xO8wpiLVoyiBATBEEQqsbkJpyZqcFKVhQd9i99h91cFSrxYKHYuNH9f62u0DybtaUjIKWsbMuKDOLv74ecNe1a9Zf/wo05u/j+KnfSnjgMhboQJELEJiBCTBAEQaiBpG7CqkSNZbmWMa4JxB3tsb/Ei19cnys0tN1iiMOhQ/r1dUKzn4Padfs5yNih64xB/N3dsHUrTJ7xq65V/8V2wIUXcI16QqYa910LXX2Og5sEUdGFILEYE0SICYIgCNWjS6IxUW2Qvc3eYNzRJQ+kUk8wsN1JN8ShmqzsrWyip3shsKyHk2xlE9Onzzfut6STNBagUKydJ2Tm/zjhUbWWsTHCSRD0sQ7HFZVRQllixQARYoIgCEIN6JJo+vv16yYOstdMzA5DDL7/aqam9B+pt55gPg+93fOBZaasbJu97Hz/QwFr3U42YLOXga5HjPs4dcosGE3tlMZOv6/aQ2kJ5vNvuaJSuqDEIkJMEARBqInKJJqtW2ssNeNZiiqEWKn21+PmMg9192m0Yfx/fa0orlQgK1sX+2S/4gltlmB+1YdCMWh+AoLFZxkzFqw2NAjX0kLL0qpV0e+brJYOQwx+5eaWt7NqB0SICYIgCKmQdqkZXe0vPyaRp425ihr383/iiquRNzM56S5bvRrW4YRin0Y/cL42MN1eeSvjXIOFril4UbBoXJNG16ihQXg74ThwJEEFjkqxOXrTc7iSCaaOr5H+wYgQEwRBaAppFj9tZ9IsNWOutq+MIs8Yc5UweNz7vFuENWhpmqOPG2/p1wemFxMNVmGI/getENO6Rpkl3/XeRONtJWNjMD8fv55fbDoO3Pili1AV8mMp9w8WISYIgtBgUi1+uogoidMP/rVrXfrZCwPvm2p/5XoPGkWeMeaKLeaB+Fx7us/7URpxNsaW0jYOoQ+UC2Rn+gSZbcP4a28ru0a9dkrdnzIPok1IEp9XabUcGwufw2q2txgRISYIgtBg0sj4W2wExKkX2H3n+oDlSlv7i1nyv/ZPxu0aY65ielnGfT7yM75tm8RjVCybffH9rhXxHe8sx511QI0t0zFlOV3u0emzWjoOxqSLqO0tdkSICYIgNBijOFiiFgAwiNPCsoDlKlT7a+XjrrXooruM2zXGXCXoZRn1eQCLBe1y/7Z14tGyXAEyePLHehepZ5GrVXwlDNZP2z2u7QPMLLu5KtRr0hPeJurtnNDJiBATBEFoMNXUqloqJLVcBWp/jfy1ay2KEB4mcZBnc6Jx6eujKfp5jI1sp3d5pRhb4FHWYD1wPxYLbGIrl3JnsVWTK6w8fTVFzo0pe/R3gpvIFKfiGoWYs+/scgLBoF5gNcI9rmv6Pc412n6TUS5fy4KNG5du6zoRYoIgCA0mnyc0gScq69CBOA6xogBqtFwlECrViIPIz3vtiJhkApuDrGE71zL45BN4Asslw0l6cQP7LWY4lzu4nAJd6NodzdHH2INvCi70hOWC3uIWhePA8PsvLCcQGARWo9zjlU2/wff9+wq6mq2/ij17YPv2+sbRyYgQEwRBaDC2DePvnk6trEO7UrK6xIgCMFiuuk5GW64M9cYqqRQHSUVY4PO9zwx9fpRt/OjBMzD1kywT/f70yTXBBXVYxMbGYO5EdAZiVGxWmu7xUt03f1Zp8fs3Ce9c78FF9zuoFhFigiAITcB++eOuOHjub9Rd1qFdqcbqorVcvWRPtGhKKMQCVrlqmlDHMM5G4kVYPAPLDgT+du55hjvev/9I1eONiz+Mi81K0z2uq/vmff9Gl/Gvt392aKMRISYIgtBMFnF/vWqTEkKWq1/+9+gdeK67iHMYsspVU0csxiJVIBu/jfidcKywvDQex4Hhf7qsOF6rPN7TyXpNxsUfRsVmpeEe94veKXLadaanI1zGEYkXSwURYoIgCEIq1JuU4Pzk+dGWrAQWsZrqiCUka6iaHyZK0FnMnD7bFVv3/Io73vnuwBpur8n3J9pTXPxhlOuxXvd4peg1WQu9779el/FiRYSYIAhCM+iAulD1onU/JbS6jLKNK7/2xmhLVoJzWG8dsSiGuZGwyFJ0caq43M2uHOGGYtakmTn6GPvSbxnHO6UuTFRiwrZh/L0PGeMPjbFZufrd43HFb2HxJqWkiQgxQRCEZrKIXZO19pp0GOJGRs1V6yuJOIe11hFzGGJw4i/LNbbmrwits51rGXndY6XSFFlOM8INzLMMRQZFppRduZurIpuAA0wfXhlhLbQSl5gINCKfDJ7vfB56zwiKx17reCriyFycVWkLumpZxL+HpIgQEwRBEFKjll6TY2wJ9R70CFiyEljE8nno6Qku6yE6G9P53tPcbL9j/eUaW6c+GnKNOgyx786zWCBDjil2cxXbubb0nudWXcETXMUe5ujFs5TpGDj7iLbXpJ96S0zYNoxvnQvGZj3l+lSSRbJphMwJIsQEQRCE1hLlNlzFTPmPhFmTlXrtFD1sYqsxYH/sC5eGs/0qrHGl0gyPLgu5TivLNsyykgWyeLXFALrQNPZ++Z2uULK/To5JTIIttsREXDmPK+aDsVnnfClmg8koGEPmrFD5CsGMCLFFRtotLARBSIklECNWK1FuwxlWs5oDrohKkDU5NgbzIQOTW2jVlD05fWiFdlt+gagtzVAUa7r3KvdfIFO2Si171M0YvPh+AOwX/oxJLiK34pD20+3agSGJRcxv0WtUWZFOR4TYIqIRLSwEQUgZiYkJkWezsY9jQETd/xvFReZzGGU9MsWcDaw6pl1/gOmSy9FYmoEBphIkAigyZavUC/5YmzGYf/5nwk3OGxHsntJDgdkiFmR6OqKsyP5LUxlLJyNCbBHRqBYWgiAIjcRmb2TBB3BF1KZvvs61qOz8B6PFP856pHOD5l/1nbAAYpa13FpyOZpKM6xiJlGJ14DQNAgh+5f/PdjkvM07MOT02jTEqlURZUXuTVYvbTEjQmwRUW0xRUEQmoi4JiPJxWQ1AsycXFEufGqw+OubdpfRuUHtF/zUJ4CUK4C638I+XhnpcvTEmynRwI8iw+9ymysk7/w31zV3z6+Ex+Jvcj6ZkgirvPZSuhZNDdIrOXo0osXSbH8qY+lkRIgtIuotpigIS4mWxVOKazJA2fU3QHQhVKi0Suks/l4JjX4eC22vl1lj9mRJAL3xGlcAdX8qIonArRc2zjUcIqmQsLiDy4OuuU9f7l539V4TcZ9v0EOArlr+Co6G1jt1yhxPNtA3o39jCSFCbBFRTzFFQVhKtCSeUixiIRwHn+vPXJk9Ci/+yC+qAQ6yhgnscEuduGruvu/JnERgsYJZbPbG1ier/JyfufnuciA7Qwz+45bGBLL7jslhiMEf357aA0hltfxZ9IkPhYKp1+Qt9Q1gMaCU6ojXxRdfrIR4JiaUyrFfWRRULuf+vWgANcGQyuWUsiy1+I5PaBq5nFLu7BR85XIN3On3vufu5JJLGriTFuCdvLhlGkzfQzWv/n6lenuDy3p7lZpgKPqDfnbscO8t7FcWC+69pfsNaoIhBQuGTRRK96RejgXesygkHr9lKTVx9VdD2+jlWPL72w9/GH3ODx40jrW3N4X7qG+DOfYbf1uB+Yn97nd05ZV17rx9Ae5WCfRNywVW0pcIsSpIeBPsNBp2ExGWHJZlnhQbhgixEKbvQffKcDIkinp7XSGmnfjZn1iITWz4il4IMWQUVVnmS+INCirLvKIoMEbYlliM5XJK5VYdMb6XiPvuiz7njz0WK5Lqwrex2Pt05c5FiIlrUugctHV8JCtUqAGJp2wP4s63m2m4QD+P0YXC79qzLFi/Hg7pS29V1Vty7HMv1NYI28TWUNsljwKZgFu1QBe9HCfPZrZzLRvZrinJoQJ/9XbPk89H1DFLK9FKufs1nZM0E7ps9nZU5mc7IEJM6BiacRMRlgYST9ke5POEykZ44ivHJHtYhyLLCmY5xbLAekrBvn3Jekv62w/p4q9MQmiG1Zji1rIsRFbj38617GFdIEZthBuCMWuv+zK2HVHHLKGWdG5dWT6+wXDc1+if9dHFvFFUpv0A0pDMz8VMErNZO7zENVkFi9Q12TCzurAkaXo85Xe/K65JDeXYrILKLXukFNvlX26K07Is93vr7ZkPLO/uVqqfA8qioPo5oHo4EXY7+r5vk2vQHB+2oDC4Hq1i7Fii14c+5J6DN95Rc4zYxIRSvcuDY/G7AkdGoo4j/RixKBewdt2rrqpz5+0L4poUFht5Njen6rSwJKilOXUqSPmKWCp7N5qsUgMDxRIK6+8s1QDr73dP8Qznosgww7kha9ocfYGQhvyrv6st6NrPQe1++zlorHtWXRali/3CnwXdeV6GZ5KG6WMwdyI4lftDNsbHQX/+VKpuwziro3H9T3xc2vElUWvt8BKLWBUsUotY5VOyZE0KddPM38p3vuPu6/nPb87+mkWq3eQPAAAgAElEQVQdFrGJCaW6OR60ZnFc9XMg1pgUsOTs3OkufMMbEmdiBhIzAlmThUDWZMhS1X1STTCkf68Y4O8tCGzTyxLUWMTU+Hgya5KGuMQT8zlYSLT9JESei0poYPZmm4FkTS5hFrEQq/YmJQiRtEKIveAFzdlfs6hDiJkyHqNcgiVR45+0fUIsaSZmNuub+HfsCN9bzjhDL6Ze/clEQsskTkbYVv7M2YfdMdx8c81CLK4USzZrOH7mE20/0RhMYSPsD69MA7M324ykQkxck4IgCM1AqVaPoO2YqbqouiLDAlPkWL8eRkcr31aJA88LhWRFfAOB51yE/cx7ze/5isVqs7zp40ZGy9X1D5/ljuG7T002aA35PPQuD2Zn+kM2hoeBUMcCxTA31rzPSoyJVNUuX6KJVyLEBEEQhDbDFEdnUaDL/bcAO3aExVhcr0k/leVvSnFLGRg8cX8pzikQ/3TDO0PxT7r4qCmD2Ki0f8zNwdi/XJJswBpsG8av/29juYjt22HkymNkOY0ryFxRto9XphaXZYqLq3r5Ei0fI0JMEARBaAn9Vfd7Dgs0Nxi9TFSvSR3T04BlBRMEFEypAYa5mVG2BRIHpo6cwzA3B0Ra4H0G2cBO7VhNTFWUzwgIwsEEVru1hyMTT7bnD7Obq+hlrjguy+11mVJbL20iVURfT0m8CiJCTBAEoZlI1iTgFwBJXbb69QqF8DLbhhXMkkQMeVYYkyvxJkYi64XpPjfPcsO+9ceQzZSXhwRhGn1QlWpoQexQEdeYvp6h9c8/taSLvooQEwRBEJqK13TdjRHzBIsig0ZVAVlOkwlVqS++l9XvI0llfb8VxrT+gmGa9NavpoK/icKCVXJtrucTDRFMjYrLchwYZD9XMgHAHtaF4uV0BOLrvnjfkhVhIEJMEAShOUiwfomxMVdcBLE4J3tUW2l/mBv5U3agsyi99KUw+M4r3PisT3+oZDlaRVQmgFtvzG+FMdf/MtQwK65fXd0ws4XOc226MXBhIgVT3LWlVEPisjxB7XfL+t22iVniVmIRYkLHEAqIXcoFAIWG4ThuXE7S+JyqWeKTDphFxaHCStazK9CjUZFhNxsA6LKCFjPLgm9+E6ZmVrhCYHY1w8NuAP8hVmn3kaHABDYHDwZdYW48UzKx7I9/0sU7dXOCHk4m2lbxSGLXqEswfaaXY/RReXz1xmXpBLXfbZuYJf6QIkJskRCYPBJUNe40HIdQQGxagaaC4FF6wp8ivfgcjyU+2fgx9odcdoB9vDKcWUgf42zktApai5SCU6eC25ibgxtvBIXeZ6mwtG4zm73GSvr+T2etAuvZhc1eHIaKsVdnFLMS3fioXVzNTjaQYxJYIHkcnJ5YwRRxbTkODG/uZ4ZzqXQDr19fX1yWSVAHMkbluo9FhNgiIDR5eObhRSRSxsZoWKCpIHhon/DTvs7EIqZvus4s+YEbjbFMBYOw0hE190e5EreyKWTdCmJRUFn+gTexgidYh8MUg1B0KXZzimP0cSUTjLGFtdxKL8epJoNSRz2B7GNjMHe8cqq3WCDL7t31PWSYBLUFi84Y0EhEiC0CjObhRSRSTE9eS7UAoNAYGnqdiWWghFdiIpRlt/rLRqFkCtavhqiSClDO5osrfTHPcmZZSaXAmmd5qcflFIPs4M2hB0g95n3lco2xWkH9Dxn5PFhWeOyKTPXuySWMCLFFwFIQKUZXxhItACg0BrnOmkeg6bovyy7PZro5EVpf+YqR+umqiG03GRyznI4sqVAaF3s5yBomsIuuxXoEdDJLWEYjZtxPLySL4YoQ+XHX7tRU7VYx2zbvuqps0iVuJRYhtghYCpNHPk/o5tzdvXQLAAqNQesyS6vQ5BKfbJJis5eVHA0tV8WK+pWcdZbPstZ3kI0b9W7P3VxlFmGa78Yrr5BjqpbDSIxlwZ++9H5ttuhGttdd1kHXAqmSeuIgc6b5x7NsiiU4FhFiiwBjvEUTRErDM8x8WBU3YZnXhLQJucxy9cXnBJAJKTGHSF5yv7Jf5YtfbHB7xljCTOiyItNEKdh+1fdCBVH3sI7tXFvVthyGQvdj24bxv/xFpLu1HhdlPq+qqqqvZan/NpJ0Bq/lBTwXuAv4L+ALwErfe79WfO++4vvL47Z38cUXN6xD+mJgYsLtdG9RUDn2qwmGmrLP3l6l3F+R++rtdZenTS4X3I/3yuXS35ewhPAupKTL6+HOO91t/uZvprvdVqM7V0nPX+UP+tJLlQKVY7/2957k1dNTvAfFrejnppsi151gqHR/7cseV7BQscqCWsas6uFE1ePN5ZRSH/94snGa+P731QRDqpdj+vvx/feXjiM8dvdlWcl2FaJQCJyffg6ofg6U56I9hejvHJT6/vdr3Hl7A9ytEuilRlrE/gH4P0qp5wCfAd4JYFlWFzABbFRKPQt4KTDfwHFURTMtPGnixVvsYR0AVzLR8PGnnWEWde6XQhycsMhZhE/9XlX1DIVU7zdruTVQSwyKtbms+Kni1CnYtCmdcXi1C/1V41f3ev0a/Vg8iQPsZIPR8pRlPlRbrLd7nnwenLsuYpD9xZbm84F/k57XqBZGo9efSxfzrMO8oXpCWTw37h7WcZzeQMLC8J9apfEHrpdFWGapZpKotVpewBHAKv7/QuBHxf+vBSaq3V4zLGLNtPA0gsgnogZgWfqHm1qerOLOvVjEhIbQTIvYN7/pbvPFL053uy0i8jeb8Pz5LSk59quJp71Hex+zKKgRtqmJZ28pr5+LMXjVaRHT3k85ZrQowULpOEbYpvo5UFx3QfVzQE0wFD7eP/mcex575iOHGnsfv+ceZVGI2EbYgpfaPHH6dGlDJktmLme4Xjjmem9+8IMad97ekNAi1kgh9m3g1cX/vx04Wvz/24A9wO3A94E/S7K9ZgixTp/so34EDdlfLr3zFbetiQnVVJEpLBGaKcS+8Q21mIRY5G82wfnT/qYzc0UBE95ulnk18ax8YNtR4iUkehgKruBHI8RM99OsdTpW45UERoWwC43n//5f1d8fva1E99V77jGetyhx5gnaeu6jE58olI4ryu1pvF7YL0IsyUrGD8NXgR9qXq8GfgX4MnAP8F5gpviZ64D9wGqgFzdW7DLD9oeBu4G7BwYGGn7S0rTwtALTE1Gjxp+mBTHJuQ/dyESECfXSCiH2W7+V7nZbRORvNsH5M1u0TBYn7x5X/v2bRExfn0bkVYojPxohZrYwLahujscLJ/YHRJhuPCMv+F5i4RR5H69RiNV7jbtzgPn78otI0/UCBRFiSVaq9wU8Hfhe8f+vBz7ue+/dwDvjtiEWsXiabRFTqiJJIFf7k1Wic1/5piDUSxOF2MhrHlJZ5hUsqGxWqZGRVDffdOq1iJkn5viJHdyHvpERpbq7g8u7u80CzS+OAlRhEetfdjRRUL5FIXZbGSvKnVjFffzuu2Nck+FXlvm6r/E497D7PS2484RhXYuCmsjvr2sc7UpSIdawYH3LstYU/80A7wJuLL51O/BrlmX1FgP3fxv4UaPGUQ35PPSeoQLLUqsh1AR0adaNHn+gKONk7Wn+7rkPBud20rkXhChGR2HHZ59MoVgLq1CAHTvc5Z1KvTXXVul7chdRUW8CbiD6vn2wa1ewjtiuXXDokP4zxiKjvlo4XoC+2y8xnDCABadYFjs+f4cA034XVLIaPEnO6ypmolcIoBguTcm1Y06WUuXSITcuYNteFX7dmhnGPvrkusfS0SRRa7W8gE3AA8XXX1EM3C++tw63dMUPgb9Jsr1mla+Y+NjxVCw8LYGKOIRck8afkvVgYutj0WMXi5iQNk2yiGWzBqtENrVdtASdRTyplTxpbFSk1clz13kLrrpKKRUTj6T7bsfH1QRDvgB7kxXpVOT7JStQhRu0nnIc2Wz8fXziAz9L4C51EweyzKsRtqVyjZvOc5b58vHPzys1Nxf4msLf40Jd42hXaCfXZBqvptURm511T8sZZzRnf2nSKqGS1v6mptztXHhh9H5EiAlp0SQhFjVBdjy+A6kmbtTsmkz+KrnrKoSYNhEgIkZs4o13hNav/VUWPJdxW1GEmQPZ415JYnxzT4p2lfYuL4STFVK4AKNixErn++tfdxfcdptZIJ9/sq5xtCtJhZhU1l9keGb1tOv6NAWl3H+lZL6wyDBd0ovtUq+mtmB1datUqK5YyV3n3Td82DahSvVR1fXHPvP8hM25k2BBsRLYHVzOFIO4TWz0X3ZfH5E9LTOZ+Pv41KM9hncUuRys/4MZxtiSev0u24bxHQWynA69N0ef2/j7zjvdBXfc4bqzdVX43/JwKuPpVESImdD8uNsdhyGGuZkpBt1ielP19RBrOiLEhEWArjBxn2GONy3vVKopvKzrH2vCQrGHdUFh5bWe0t2rlSoVGa1sKq4d36EVicZRPfH3shMn3PjeCWxtK6VCIfo+HnV/z1Ign4fdX+gvzwsMMszN6Ymx1y+wYJASgdg4pcwCee3hVMbSsSQxm7XDq2muybk511a6fHlz9pcirciaVEqlYuJWSin14IPRA150Ph2h5VThmvQyv7yaSDp3m8k1V4/bqe3xnatqM8+DcVneS/N5f2xX5XdTKGcneq5JtbBgPuma7za36kjNrsgMpyNraCV59XNAKdwY3wz6OmWmcxiduWgufOvts25OnjTPPexXKl+s/Xbdde76uhXvvbf+cbQhiGty6WHKzOmYNkBKLGJCG+Bdhz4cx7VKTE25b5uszSbXXDar31U9bWXakXweepcVAsuiMv5s9nKQNSgyKDKMrPnnsAsyroG05vvSLosa9x/+e82Nvc/hEAtkyVKIX9nADKtL/zdal2po85Zj2vj+DKtTs4ppM/Yrv7eo76TK72uxIULMRAdeGP506cDyTrvZixAT2oyksU+mSa9QqE6gdCq2DeNv+1HZ9ZSj7EJMwPaLPhR2QUbEdqU27hf+rOQyc0tWJL//H6IfgJdyh+Zz1c0jY2zB5M403cdNyy0WyLM54v5vsQ6n/lhi5bqBL+VO3ON1X5dyZ/B768A5tVmIEKukgy+WVtQRSxWxiAkNJKqpfADNPSCpNcI06eVyMH7dj2sWKJ2EfdmjqdQWTExK92wvpkyRZQI7MoDezwDTjLKNf+X3CIooRRfxTcoBMkUroLHOGeb7eD4PvcuDIt9igY1sx2Zv8XOm47BSiSUeZRt3cDleogJY3MHljLKtqvt54t/oYiOJ/7IdXk0vX7FsWXP2lxJe7R4oFKt3F1Ru1ZGOqiOmfvITdztPfWr0fiRGTKgSY1kFL6Xfjz/mqEjS2KfI8g1f+9rivHYrj+n22xMfZ2WMWA/HQ7FWur6NgW2fOlVe5sWI+RpRG1/KF/fHgrYfZXy1+gU1wrbIdkjJ4sTca85Yzb8/5jy+7yfmvppKqf6zTsWOoeZY4hMninOO/vhzZx92x/P2t7vr61b8wQ9SbZnXLiB1xGrEE2I9Pc3ZXwoYu9q/8Y7mDCCtyeWBB5QIMaERRBWeDBUe9U/iRXS/McvStymamFAqd+aMu91znihvd6kIsdtuS3ScExMqUc9GiAnWr1GI6b5TWFD9HCgJmbhCrP0ciFknmRDzjk/bkzKJGPnOd8wbV0qN/NGjsWOpOXHkeFg8V756OaYm/uced33dCvfe2/EtBnWIEKuVY8dUpwkx4wW86khzBpC2EHva06L3sxgnM6GhJCkeWprwNEJMKVd0VVo+jJPktde6K2zdWl72r/+6OK/dGoVYkj6FfkETsop5nDxZXuYJsfn52I1G7d+ioEbYphVGAXHBUIzVLEEVfr9lloruKMXm5rHECLG4gq91CZ7jxyMsYr7tnznjrm8QYpFN5DuUpEJMYsQWAcb4lYbVxmkMzudXuMVof/rjpRUfIDScJAkrpeB7pbTv79sHlbdMU7FSIZ7qsrktc+0rw/dVz/4VGXbgNgL1B/G7hUuDSQSmJCmLBfo5qH0vy2k3VvDcOcbH3WVeIe4xtpBnc7n+WQoxduaCry71xhK7fSujv4fpo+dEvm/6jUb3JF0ciBCrRCm3Ov2pBzomYNCYTdNfWzp2K3AcGH7XeZ1bjFZoa3QNqnVETc61lA8IUKNg6DgSHme12dylSu0pEb//DFexB6AUxH+ablRFgVhdkpQXLL+VTaH3ujnB2Txe+vtb3yJYiJtBrmQCy6uCn+QeGHHOHSeqrKyqP3FEKbZzLSPcUBSq+rEMnPm4drm3jXweurvDbx09ugTmgSRms3Z4NbPpd00++hZijBEb/rfmDCAFd0ui+ACNyV0QkuKP3cpm9O6kXE6pid3z2qbVVcWw6FyTd9yR+rWbpMhsw6k8pn37Eh1nNTFifpdhaNvHj5eXea7JU6fCLr4K16Y+Riz88icLmLYZtS//e/0cUD0E3YRxbvNE889ddxk3YHbBFuPh6r1mvCLovuPV9vn8/d3u+rrB/OAHSilzI/hOjRNDYsRqI3eh+QbdDphuvF7WZOBGsHt3cwaVwuSSKD5AhJhQL297mztZ2F/UZmiNjISbGHsTodtIejbZJNkEIdY2WWY1CjGlwlmTfdYx39+a+7A/aN/DLwS8pt+757ViYIRtAZE9MqIi9+ffr1FgmJpp60RRTPC/cf+5mBP57W8bP5yK0IuiQoh5Yqx0nr2sybe+1V1fN4hiZX3TGDs1TiypEBPXZAXTD+mNuO1QnT6qurdtE+6rlumcr7faYoWCUA/2xT9m/XpKrpRsZoH16904sLm54D3AiwOzbRhf+Y7qaoEppf9/ClTTYLupVHGclZX1j73gMg6yRtt30WKBtdwauT3nwRcxOAjr1mdDTbzn6ONGRgPhD7t3w1Y2sYKjkdudZoAxtmi3OcYWN5ylGOMV1VQ7qk5Y5P7rmH/iYqzqvmaSft8x6zmOueTYYp8HOmembhIDF+gvlna4EKq+8XZQYVS3KGFFa5NOKkYrdBTOPc9g924o0AVYFBYy7N7tPtzo8CZCu/ezyYqVNuG3V3fMWqN4PCIWKCE2e1nPrkC7I0WG3WwIi5ziBO8wxPBdVxe/Q/351yZbsIUb2UgPJ43jGWDaKKKmGAjFeA1zM6NsC4kzU2A/MYHujZ5/0rxmRtnGlUyUz8fhs9xEi/t/I/JzY2N6rWZZi38eECFWQf69J9u2On3VN94OEmK2DePvf2RJVB4XWs/Yvt+qrSdkylatemiJFfntb4d3vCN6neuvT7Qpx4HVHMBiAYsFVnMA5+Dlpfc/xZ+EhVNEwP4YW5grLEu0bz/TDGCzl51soJ/HqBRFniXOLKKseOtbUZyt5Va6OaHdBr72QH4SzT8R1+WhQzGfJb1rxmGIGxnVf2/feVXkZ03zmFKLfx4QIVaBfcV8KV3ZYoFc/7G2EQRV33hTEmKOA6tXu5uzLPf/jchisV/xhGtt+JVnNac1yhJnybYTAaYfP1O7vFCA3t4aJsIWoMsEbfhYP/xh+Lu/M77tODA4+fWyFchwTTkObNgAM5yL1xJnhnO5+sF3Mco2VnMg0AjbT8gyVRQhtbr9PIHluUlHuEFriVvLrYbG4Amtb/TxKf4Ey5jD6J6Hbk7Sz2PlXpt1zj9JRNbatbVv3y8Cx9gSOm6PWstXWNYSuDclCSRrh1fTCro+8UQwSvDjH2/OfhMQG5xbGeH4T/+Uyj67u8Ob7uoqBzCXWitly4GlNQV//vCH7gZ+9Vf171cOQqiZtgn0bjbFYP3+3tnQ5QRu1tbErpParEmllFLnnZfs+nvrW911PvKR8rKvfCX1a3diQqnc8kfdsa6Za/z3pxu/F6BdxTUVV0w1MnDdC9j3OHpU1RoIX1lMNWo7XsB+kuB+86u6SvuJr5Vvfcu4sYkJpXqXnY4/D7VeO14RdKJbQuVWHAxcL4HXvfeqiQlz0la7JMtVC5I1WSOHDwevgDYSYkpFtE9RKnz1fvKTde8v6obZ12dO/67ph+0JsWc+U/9+5U6EmlmM7UQSURRifd36SuN9fSpYDqGSJz0p2fXXJCGmlFLqd3/X3ebtt6e7XR268XsCJpf8mkrS6cAkZEL9QYtCbIIh1ZuNryDviiGfyK5YwSQmrJh+kJXrmved7Dirqqx/553mjSmlJsbuUxbRYqzm335RiE0wZKywb1FQE5d9LHC9BF6SNSlEolSrRxDAtmFy/XvdYOHrPx5tsk7BNRkVxDk7G04e8Jibgz/9U+jqcofR1QWjo3UPR0iJtg30bhKz8/pK47OzRP/mq70fNPP+0eKY0GquqXqqpXtZiiWK59hmL+OX7iTXdxAig98tejlOPq93+S0zBO1buMW+41ygWU6zke3hWGNmjZX29XsrxpbVWNi6lMmZgbF/+CWjy9Cj5t++cs/LMDcXk1+CWCg2sh376XfHbiqX0y9vh2S5RiJCbDGTwo25nh/A7KwbcwPuvzt2dIgY+/zn4Xvfa/UoGoqUC2kwmt+e89Xzyll0g4sv7iWdaypOuFrlrMTRYozjWStKWYn2RXcx+Yf/GytmO3P0abPNR9nGCZZrP7NAlg3sZBUzxu32cJLdXMV2rg3GGhdbIv0xnwzEnyU55lrKS3jCaIpBlIKpX+iPyU89v31daQ9wReme19/Kdq5NtJ18nrZNlmskIsQqqXyCbcfMw6RjSqGOWH7TLzDdKGrZvNdXTUu7WB9f/Wp44QtbPYqG0pJA7zYiY6V3TSfBcWD4I89sbAuvFv9+qrmmzJl8SiNUwszRx403ejUVy+LMefBSsKyIDMcyulIl42wkqiHQPMs5wTJN0L5iBUfYyYZS6yObvYHajgC72aCxTFmlbZjutbHWqorvXi+MoueNegL2TVbCBTLYF//Y/SPB9WnbBAVsbmlkz4sQq5KOyjRLQUTab38SI9aNUHFz7O52XY9J+vf58SxkkbSj+F1k2LZ7g8t1P+ze8M4/tSRueB4LSn+NLSzQEEEzNgZzJ4O1Mdqi+GqKlK4pvxXIcE2ZrC+5nl+wke2JxFjl1zRHH2P3XgHo+z9WoitVUsBQv8THLGdyKXeWiwFzmhFu4ChnlUSYDpPVqIyFSSzFWaucL68O1CybqiGDdN++qj/iopRR+CYRxEDgnh8QsJNL454kQqySiJtwVGX7tiQlQbNdjTLC9kAV8je9CbZvL994XcO9+34uZ7YsmOo0AS1/om930n4IsG2YfMbvuze82+5fEjc8j9w5+krq2SxkVpxRcnWFzvnxP6xpf02JyWuDB5hQhw/DNaW3vihmTq/kAX6ZKOtQFNOz/e442FuyrJi2438o9OKpkmFxB5eXiwHTpS80Wzm2GstrQLSl2nFg+G9+OVCzrJYrwVTMOAk64dubOU6ezeUFacZeLjJEiFVB27YUMZFWHTGG2M2GUBVyf2ulCdZxAQ+VYjNe9jL9toaHI3bk/RjbYEJpNzruIaDNyb/8m/SeEb75FwplV9cGdnL11RXn/Mjfxk64OiQmL4je+mJxbKGPO7gcRZYoV5rJYjbQV47f8iwrOcwKY3Q0GE8V577zj8BPVKHZ0tiSWocq92RFW4V01lZFJpFV0U/kQ3IUSgWEb8kaOrjFtRB693Ol4Ec/qnEnixsRYlXQcZlmKQW8aHus+QRoqKXFFNx1F1x2ma+XXxZGRlwrWiwixEI07CFgiZ5r++IfM/7Rk6WJI5sJi7J5lnPqVHDZHL2xE26A4sNFPg+9y4J++dRj8trIquDP2NNZb6PvmVHXpBuLtZHt4Xg0Zsn/+i1gWYHej8foM7Yv2rED3sTHYlyGyfBbvHS9J+PdpfrvL+5rNVakB22nABOJwkYiqIyJs1d/ObjC+Dg861n17WSRIkKskuJVX/ohveGq0o2k7Z5q436hKU2yJpP69LR7XrQtLebgpz+F03SjyHD6dEIRJmjpuIeAdseysP/4dGniWKhCwyRyMVX89mwbxt9235IIQg48mBmst7XfMy0WyPJivh2OR+Ma7F+6C+fBFwV6P85wLirC1WnKkqwWhcUg+xllm7b3JAQD0fs4QoYCXpyZqfG4qaSDhzHejmm2sinx+OP2UzW6zOGEzdGXGiLENARSf7FKN5K1azss0ywlIWYMxBwoNmo1tbSoViQU69EM3n9beyZD2DZ8+tMt2XXbPQQsBny/j4HzTkWsGCTDQk0TiP2yRxobhNwG1k3HgR2GBzO/9VaXYZmUOfpYzyeAini0YqD82A+uCFm45iPFVlrnzXVp7+DN2t6TY2wpWY32sI5T9LBQdMEW6GKO5SHLXS+zsfNLPg/d2Uo3pNsfcxNbSXJ8PT11zGMmg4B3PRb/Dc6rZYHqMNQW124rESFWiVJGV9y+fcXg9LMOu09hZx1O/6n2uuvgKU9JZ1spuSa1gZhFARoV4DkwEO+i8ON88Sz3hzr/5NbFQZ3QNeQt8o//CFdc0fgx3HVXMX2vTMPLTbSRW6tp+I45/5aHQ+e3mxP0aOq+FuhyJ5Co67IV57MNvsNNm8A0rfgfzLwMS73rLP44CnS59waNIPYC9tND0ceRRONy0YsKvyV1E1tD4nCBHk7RHewzyTWJ5pewRTfDx7jG2K+zkoZeOkWRpZ1Xi6La+eLZDRxA+yNCrALn0z1MobfRTk8Xg9Pf/vfuU9i1f5v+U+3f/i08/HA620rpKSMUiFlshB61C8tyLYiBooIxwmrso0+OjEVrOJ/6FJxxRpN2ZuCOO+A3f9O9DnzYNqxfH4y5W78+hYeAJf4k6mG//PGQq2sXV7Nzp3fOg5gKglbi3POMctblVf+jMa6YNvoOZ8y1TkPWW9uGg6xhArt83nseSbyvuTlYhxNycfkD9oNUk4mp8K+fRgyZ37NgFkgZjnAme1gXsPJFMTYGhYXwVH6KZYnHNj/f+PusyaVfoIvh91/QXt6PJiNCzIfjwPD/XkFsLRd/Fojvs21XXyzFG3QgEPODt2DbRbek4b62caNrQaxGWE0/2q1f3qw4qC98oUk7imNROMMAACAASURBVMA72IrsIseB3bspZ64WKGWu1kUbWFFahfOpLgbZ7zqGnv881q1zl/snQdt2i1LqiLwuiwHjw5/6vXLW5YEzyq6YNOmQ79BkvQ3cW379NZFZjmGsoIsLyD/vFm3BVXe6KxdPzWRgudFjaQVecVmc8aNcCJZyiGCe5UWXYjLSuj/WXL4izjVZJCprdO5Epn2rDzQBEWI+xsZg7rj+xxZwA1VcYM0uLeA8cInr7nvbW6NFX4OflKNuANu3Vx9gborT8T9JB4I9BxdXZfIoOq50Sr08/nhDN+/c/XSG37KsWLIgQ2HB/a1UTuoAA9ZD2m3ExeeNsYW5+eDDRZIyBzXTBpaxfoNXsK8vofVWKUN2YYKWRcXzav/Sd1jPLqxiILxL5bmxuPBCOKlPpkwdVbF/U2C+R1KXIsRdh8mviZrLVxh3HYwRi8saXcqJRyLEfERdCNpYsOLE3cxJ0nFg+I7XhxIJPEESECpXvqShljnTDaC/37UKmnSN7nOOA8fmMlTecDMZOHbM/Xc1B7iaXcE2MW8s4PzhLXUdR1tScfIaljXZBpN3iK98xe0KffvtDdvF2JdeYnzoqhRL+a73ahs4x8XnGbON6yjsGUkbPEhs3Uoo4LynB266Kfk2dDWpnsl/EifGvPPqPPgiPsY1sVas6ek0kl2Sx435Bb6psXgtuNdhtS7XMPWWr4jD+151rn5Y2olHIsR8RAmLgAircE02s7TA2BjMnQ5GEHuiL5SVcuCMuixzjkNkqrEugLybExw9ajZz6wLMPYvizJFuKm+cCwtu3IlSMMO5obiHuZNZxj77/FoOr7l87nPRATQeBmG0apV+ddPyqmmDSbzEt7/t/vutbzVsF9OPnxn9vk8s2T23uMLAaweVMIi67rYvSWkjMW3bsJMNZRG17FF27qw+ltHvrlzLrfyIXyPOuuOd103/vi5RfNTAgL7JdHXoxqT/LfkF/iGiEwr6Yixmfqo7t567VbPPWsPg4lyTvvdt9rKbq8IPNssX2rf6QBMQIeYjn4fu7vBFdfRohZipuMCaWVrAJHCmpuILr1ZDyd2qSzUu4u8t57U4mmdZqAimizLWTtJZFKuhlr5qiXj0UTitf3qripkZeM1r4FWvqn9bQioMGFocld6vEEs2e5l8zh+ESiVEkWczvd3BH0Mvs4ljhRLTLiJ6zx6gIubrhX9Sd0JJXCNuCJ7XmZMrEmxVkc8Xk2DYVXUV+mgirHDFe1WcGJ9nWVWxhLk1EdneCTl+vLbPObd0R9cGq6ypp6vC/56HFmVNvaSIEPNh27DyzPBN7dSpCjFTcWE1vLSAD5MfP5uNLrxaLVp3q/dEV3H8x+jDq4VjuglZYKydVK/l0Epslq+S88+Ht7+9/u14yvRnP6t5E4cOVbe8atrIqtIM8mvv1LY4Ao1YqrH1ls1exl/xufKEs+a4a0lLIOI6kquuquvjDkMM/sfnQhO6uRG3ClooqzqvCtt2HzhvYsRYC7G8H3+8WXl5taxiBoeh4j3T/PlTLKsqljD/pgehTjG5UMPHHQeG39YXXRtM87sJVeF/xeG6xt7piBCr4NDjhhowOrFQvEGXLEPLf1G+4TaoarbJj18oRBderRaju9XfxsNzKXIucU+sGWvB6CKt13KoyDQuFu5zn2vQhmOosHI03OraLlYV0Lo00sb+jftLLY7KDetjJvVqhFhxXftZ/+FOOGf3M7nra40RYYtARDsMsYGdTJ06vzShb2AnDkNk0d/0shS0Fsr+nni3Xo5pHAc2bKBYVDUahVV0F/qvSYtqxdghzuFqdlXcM/XbqCaW0P7dA5jvwcnKdtQSrK9LcGtoQsoiRYRYBQNPMTST9f8mdL5vGyZf+gb3xvDxrzfMzGpqQ5HLRRderRbjxO8Te9W4FAsqy7p1sHp1OGYtn693LrFakz14+DAcOJB8/WoO8hOfCPy5dq1+NdNyLd//PnzoQ7WPaZHhtThyG8x0o0xuxyV8jpqBwxBXsidU4NQr4zDMjeisUe7yysWKP77oe0RZh6xi1fmxMbd+VjwWkGGWleiyL/XWMj2KLk38mqFcUsJYQseBwde/KGINc1yYn+HhRLsLEPnALi2OEiNCrIL85mMhMeMVJw0sgJZYEfJ56O2qiDspiq2Q7z3GMjc6Cl1d7uF0dbl/B/aja6rL5tLx1+JSnJkJl/awbbfuWGWchmUpLrsMcj2PYLEQ2cC2JanP558P552X7jYNk/6+ffrV932hilSniy+Gd76zhkEtQmoRV/UKskbdLyK269U39H7jltVGdQ4pJxgpg1VqhtVs51pGuKFczJjTjHAD27m2tA1vcl/9qRv42E9+m+DUFrQIKTLsZkPtdbMqUIH6ZMF36tnqWm6NXasUy3vgDMMY9Nuu/Puyy2rrBRz5wF5Ni6MljgixCuzXnggFbypVUTyzhU/Itg3jl/2TUWwFfO97vgnoC82OjsKOHWVXZ6Hg/u2JMX8gvikOI9otZr4J6RIItm93C2n697dnt+KrX4XJ33gtC2Q5yBr6OajdZl0uupMnkz4aB4lqh5QyxifPh6zaxt7OtKsFqh7x1oKHNn99Qyj/1lvSOsyALsFIx3auLVotM5ymuyTCRtnGOpxyg+9TKzm1UFkYOmwRmqMv/bpZqWKxmw2xIqW2RKewVe+nP612Gy75PKFYS1NCSlSLo8yvP4fBQXf+CVjM2uAabQYixDTs45WxTWuBlsXV2M+4JyC2TBYv51+fFCo0u2GD6x7csUP/mR07yqIN9E11PfSNexX9/RgFk4dOWIQCOP9X+PxuZVNNNZ0iWb4cnva0OjbQeCKfPNPI7GxHGv37qnb77WoRM4wrapJul2LAcXFQUfcRhyF2MEqtFe8LBejWN/OoElOCksk9muw6SBJrZbbqKWO9Lh21ehRsG8b/7qj+gb3iujRltxfoQim3JuaOHRWZ+m3ywNBoRIhVolR89mELn3KrYWzXL4duxPPz8eWsAt0BdE9kXiCyxmo2gc3Bg3rB5CeRBUsp17Xy/X8pPSEB4dTnhI1xI5me1n+fbfIdR7qK06BNjrNp1HK8xbZFDevskDJxk2s7VDJfhflm1MNJtrLJ+L4rUmqfwnI52LXL33g8vd9AL7NsZAfdBK3m3ZxghBtK96+MIRHBI06oGrPoKRhi6/TUU4/Q/qOTkQ/s3u+mFrncLg8MjUaEmIbY7MN2EmKV7ZZ8E8XUAWMjtUTMzRH7RGbbequZF6+mi+tKmkDg/GPRteLLpBrmZiDaUte21HG9hETvBQXGs6Odc+yLAOfg5cEYF5+FOdRjtpnuVcN1Ffew0+pK5o4DR9AV1lX08xhv5GbG2GIM7K6nQ4Hfir6CWfSCpVZxphjnGrZzLbu4OtRIfjvXMslFbGS7sY+pR5RQhYgsejLs45UktRaGamVWQ1xBV8tijC0xJULMtMMDQ6MRIaYhNvvQu8B27iy97zgw+PWPuzeNN7y0eU/Kvht+KQW8OFHU06TWo56bnc1eDrKGCezYBAJdFf+xd2fNtcwawf/7f+FljRDdjz8OV1xRdT/FgOi9+yB21yeDY2xXHnwQHnkk+frNOp4qv9Ox6Y2hGBfPwhzbY7ZViT2h0AGXRtU5DBFx3GNjhDIlwXVHbmWTG1AfEdhdW4cCxQqOMM41QLloNdr7pVuyopZir/4HUt1D4yjb2MGbNfsMcpSVkXOJMYue6Yh7d4JamSlTzzzS6geGZiBCrEgpu+j887iSPczRi/dE1N9fURHemygOHy59dsP6AlMnziu1FtqwoUluC9+ktYmt2htbPOabpfZmV0Nhy9LNaNfXtCJMV8V/KkEts1TRxVp5E0nSifTee+E734le5yMfgU9/2m3MB65QqTbiNq2JvRmi56lPhSc/ufrPmY7xkUdgxQq45576xpUUL0v4VHyGbEtcKYbvsGRFXTFDuVaaucNFszFZOmboZxNbtYHdgR6gbA65/uKx6OcQNnsTBbrPcmZNNrFB9jPKNm2pBje2LV6EQbGwa8T1ZApZWMutZKoUkDVbnuIsYtTe1qtpDwwtRoQYldlFlq9ZrPs6fBg2bfK5H+55RuDzm95SYL4QdNbPz7ufaTi+i32G1REruoKyp0tny9bfEHp6aEo7FlMVf1P8Q+q9+jyixE3le6a71vOeB5deGr0fz5+QzbrbfepT4dWvdpclFUZpCbF2cK9XEncOvvAFmJ2FGzV1pCJwHBj82LvdifEv34TzqS53eVxtI6+V2bJkNeOME1oLzrVtw+S6d5Vrpb3sMmOHi4YQ8V1GWTpM97IpBkrf1RhbeBP/EIjx6uMI/TxWtGJFF0pNLjyqfVixmGKQHbw59HA5yrZieEXybUaNsyS21xwvuT/Xs4vdbCh2OtGPT0fNlqe469qyivNI1HruA8LISEWmfhs8MDQDEWLEpwAXChXuh1suD9ysZw7rT2OSHs814b+5JZy4LRQHD8LOt3y/WE08flJoyLyh2ajpRlMoNDhAvRLdAZtckz/8Yem/njU1kyG6SKG3Lb8Q8wq3fvWr9Y+12Zw44R7Ttm3N3y+42a4JKT1sHV3lToyPr2T4rWeUJsYktY3yuZsSNYjWFn9eqkRcp/m8KbMwKqzCCnxXu9nAVjahyKDIcIyzOMgaFsiSQ59SuIoZBtmf8CcULn2RnHDJjHHC7u044gSSbcPkxJ0l9+c+Xln1PhpheXJ+cZkrmt8yyhhbWB5hvbRQTE66ZYwCrtwlIMJAhBhQvUl2br67LVs4RKV6e1Yk+388xCQXJerPOD9vCNZPeXIx3WhyFyr3aa9Y0LW2nnJ1YnJN+osU+kuEeBN5VJyQX4h9+9u1jysNMVbPd3nkiPvvn/853Hdf7dvRd4lP9KSdFK3V9bilnRhNcYj2mq8GMnb7+12rsR/jhJbW99Uq7rvPXFW4Rmy7llD4sLhZzycCbsDVHGA1B5hiICT0ujnBUVYW48Kaj7lvpglVtUCqPnRDsX59HZYnzXXtMMTw/e8oimZXPJ+ICJsZ6H60xp0vDkSIUWMvRt/F3n+O3hff31/riKrAEwSliT/8o+jhZMiKNHBGdJ0vj4bFY/kwlmZ432n3aa9Y0LWlGZIGITbGFn1CQVScUKVrMo3x1Est2+squj6OH4dnP7u2bdxzDyxbBl/8YvWfrWJ/RqurYWIMXPc+weePdzx40M3XKblScrB+vSv6Mn/3Idc6+l/PSTzGtubZz4ZXvKL6z8WI5VwKYQYFugJuwBnOLfZydK1krhhzH+RWclTTYkhHY0SzqW+miX4OVi2Qqg/dsOrT2LpwE7Ywt1ApvPTXQi+z5M/bWscAOh8RYkRnF5nwX+xbrz9MDycD7/f0FGOxlXIbR9fS2l6D48DgzveU41m+ugbHgauvrmy+XU402MmGcDHWZ04kOubU47E0P1pjFf8/aXKh0qgK9QYhFltzTod3LWQy6QmxP/szeNe7attWrVQG8dVyLJ5F8Lbb6h9PBKaHLdPEGLjuvePKhG+X/kzWfN7twDE1RckKMPzFV0sLlwh0Geq1YRZ8igw5ppnkIg7RjKdjPT2cZJgbEx9vL7P6Omp/9Vfw5jcbP1fLOU2r3ZNH8gd4xaXciX12utbWTkOEGEEhAAu+Jq6Kvu4TYfdD93zAwmS/9jg72RAQEjtff7v7JPOJT8BrXmMuZV8FoTgXBhn+0DPYuFHn3XFvTFu3orUi2Rd+MyB++s88SU+Ppt6XLh6rAXEvpnpkTeWBB8zvGYRYbM25OAzbrepzlgUf/GDyII+0rGmVwqSe7VYeT8pora5nKO3EqItDdBhi8LufxKJAF/NYmoKuWvfnfE/rwxj859NzkX7ta6lbVR2G3Mxz/zn67icjs8e9eoONskB5eMIg6YNlD8dTEohlTtHNDkYTNAl366idwRzrmAj3CP2Lvwg3hlSqlHRyJROcwVwpaaGfx0r/NxWQtax064jF1T/z7Zmvc9mSj6UUIVbEfsVhJrkIRZYFusrBn+/8QMj9MH7Fl0NCIVQv5otFe/J//7f770MP1T1G7Y3+ZJZjx0yfsNi0yVefaxCcb1xQHrNP/Bw8upydo3cHj3NcL+LqopqbfzvH1BRvHHk2692qUZqocmKshXYQPZVjSMnqa9y+Rw1jLj1snXnIvb7POcL4R2bZzrX6Tg2+6945/cduQP/JJwGZYjZaJtR9wtgPlAF3ovy3p9AWVfl37YLf+Z1UB1Bq6DwFgXN08kmxbWri7zELWFW069HhCbCk1qIzmWWca6pqExRPBsgwy0qiLHj9HOQIZ5bcq6EeoRoLq/OvTwoknbju2dWsYoatbColMHyCK7UJEkrVUXal4nfqMGQs1KujQFaEWKsH0Db4akgF0tk/eh3gs9ZMgn1JheVEdxFVZttp3BrVUkudl5kZApXAh3c8z+gqsb85EjzOopYMpfd/y1BFkPJTcVwpgER46yb5kZpKTKdF5biL36fNXr1b1R/XETX+eoRYK+PLXvYy+PCHo7f7utfFu0vTFIIx2DZMvvED7vX97o9hX+G6ok1FNz3GTl1vzELzd5+I6gfqzF/B8A3PDf4WW9VH78EH3X/3769/Wwfckh5RzbuT1FaL7k2bqbkqOwQtnDZ7Wc+uUk01EzP0Y7M3tvJ9+ihmWG2sB2nqdjK265c1599ihnMDWcA2e41HnVYF+zG2VF3PMvOfP2j7lmGNRIRYBaUnO++GeeQcc89FD91k4gkvz0qQguI33eir2fTcyS7W4TB4+03hi96U/VKZ3v+xF2l/MP6nYmMpgEZZuW66qTHb/fnP3X8jXIg1u1XTElOtsBx+/etw/fXBZZXj+Od/bttqjM7dT2fw11aaHxh8TKsLjO9B2e2Vz0PvsqAFpbf7FHk2u2LuZLCuU+rFX5NeB5X3pnp44QuB+JiguEl+K5tCcbZBqp2qygH6fgunw5Cvxpb5xmkV121YzUItiiTlMnTnevoxs/CpzAI2JUikVUcsuqJ/5TXqHrPSWJiXEiLEPIoXk+7JLrbnYpRFLGqdKjFlF27cWK3BzWLq+BrWr4fVHChPRjP/M7Sm9nyc6tJOINp16WMTW8sWteHLkz/1VFPV/kCyYps1U2ssl45muyZ//nN47Wvr32ccaVf7b9A4HYYYvuVyph7KxtYOAxiwosMKSqVhbBh/838EraNrP4vNXqOYa0kfvTSF2OQkEB97FVsLi73sZIO2N211KHJMMsE6lObBKMpyF9xKhvV8grXcGtHiyDROhV50RO8xab0y3bkeODe6w8AUOSwWWM0B1nJrdAu/avHFp2UoGCv69zPDCDf4rJHhY07S33gxIkKsiPPPyxhkP1Po3W6RT3wV/R4H2U/mFw+7ptZ7n5naGE3Zhdu3uzkB1d7ECgU309KbjDZMvbcszAZdM3E1WYGmdWdYXbaoPdab3CVTzUTc6BgDg2uyps/6l9cq8EyT6MqV8MlPBpe9853wmc9EjycN0dPItktf/jL85Cfm96tgjC3MzXcHlkX1MM33XG+MK6pMaLFf+nDQOvrs/wTMYi7VPnpJzotS5Ws3RaEbFXsVNcn7J/Dy+dcfR5Kej1kKkVbpasrxFOhiNxtQEQIpfMx+q5YFhgr/WeZLAfRJC2yDOYEq/4YHYmLf3PHMcC47eDMWhfL+LyjUVcHe+WxvwGviWhvDx/MEZ/Nivu12eCBjrGXZjJJJ7YYIMYrZiG8/s1jkT/+jS2KiDrnxpmD4C3/gPmmnJBRMbjDbhoOsSVSo1cQ8PWVhNgXDw8qY/VI5gTgMRfQ2Cz/1rF+vF2OBeLRnr2B0FAa//y/xLqRqzu/CQulJPjG1CKYnnoDrrjMXLK3c7pEj8NhjxlUDjdF/O4dT+JPwSkePwjveEVxWmeHRqAzFFBIIHAcG/3rEPcYdf16+Rn7/9+HpT09lf8aHC8Nyu/uWUkB/uWdjwoSW4hjz3e8Nuy1b0Ufv5z8vx1OmmFzhZT+GztGyR42TvOMQCnswt2lTbGR76SHUHPgdPaVV62qco89Y4iTXNxNI9HCPufL3pO8ScDaHSwH0eTaTjRWZiv5+Zbze7N95lHGuSfgwbjHLSo6ykj2sY/I/nqirgv3Y35ytjU+r5DTBQujGjPOmuoPbBKVUR7wuvvhi1ShyOc80oX/1ckxNMOT+oZRSH/6wmmBI5divLEup/nNOq34OKFjQfj7HfqXe855kg/E+lGSdynVB5dgfeSzVvxaURSGwzGJBjYyUdzvBkOrhhPHzUdvPZIrnKKfUCNtUL8eSfxf+1/vfn/wL/8AH3M/8+Mf686k7v088Efz73/6t/Pd99+k/85a3lMcGSp13nrv87W93//7gB5Wy7fJnVq7Uf69KqYkJpXp7Dedibi74xpOfHDzetWuD7588WX7vec9zl919d/LzZzpnR49Gr6Pjox913xsd1R9jr3vsgW1s21b6TNW87W3G30iO/foxr1ihFJR/8xRUjv3uuPzHqZRSn/988PObN5cOZOJt3yt/PqfKn6+X3/s9dx+33aZ/f2RE/339xV8k30fEPSfy9ZKXGDcZd9/1v/o5EFhg+g6zzOvvD8XXBEOae0whZv8FzWcWVP+yI4F9xW8nuE0F6jJuU+Z7ZEHhXWsMKTU/Hzznfr70pcAxxt13A+f14MHk14EGy0q2L1DK+v/sfXl4XFXd/+cmTdpO2gJNKbJlUlAQ5FUEQRDFBRco4A4YpqVSIHQRi7zg0ohspgqCUAulBmhZZggiysti4Qev+sqi7CDSQllskrJZmu5J2yzz/f1x7505996z3mVmWubzPOdJ5i5nu2f5nu/qtFv0LVIp8n6/7RwAniFS0zdVjhhkehrEN2d/Zv/iSY6A3nW1PmeqvvzRVDLz3HbM1WLh68NyLJaocIVg4frrgQkT7FPtHMznequuwbDCGqp4KO/uBq7HLKX+hitCClhyvniQfpP++lf7r6uIrwMi729WNHnBBfx33JiIfotOkQ6UGzKIA1Fg9FD6FP5y48KCBcApp9ie9kUYHASuuYbrPJfbRplCe8g51Y65SNV5yxfGMHW+IddoxdDq0Q0v5rdKjhOeuKfNivrF7W6EB8k3kq27LFLow8n4nWe+8/ScAFucOAVZWMgXdKJYLjrLubOQR3pPtXuKNHo43CYLvdvGFnQLc2gxikhZizy+iAfxZ3wZsriaHmjO2ww6tT34izmQ+mjaQ99ineV2Bb5FOiGXSdsBqoQYzPU02pYeZRRUtQk9sRJiASKEWWxl5snREKx/b69t5SKazHnUYD7mGDhG1BuO3WgKbor3HJ+s6bN/EWS/p+m3DaGsL/VR5YcqT/Z+nAeEuXOBO+8E/ud/xM9cdx3wgx8Av/lN4JawjaINOyRBmUEnOk56COkxveoYpqNHA5s3C4145nAcn8dRR13kckDzo7fZMRZP+jymT2finrpWaK9+oix1A2AvEgKI1t1GrPHowR6Jx7AIswLBvo/EY/ATbTZccaCtEzUdSwLEWIEgvvt5RZglQjeahPpr7mGoDfMELjb4fTyMGgUR5pbFGJN06s9VlYg2TrSfv1br8M8LtVf4Fh/9eOFw4tnfmt8fLi2qhBgca8TRvIFkcS2qutfxnNXxUVczZA8+1YZ37rl28GQFeHoV/pO5Sfy2qA4L/RwMP9xTT5yOEWuRD26Kg/XmrgDWr9d/VkaIPf+83ju8+5pcCZmPKiHyeduFhL8evHqVYlMGily/DRsCt4Rt9F+PgXjMHLoCXVMvLOjotGGeVA9RaIjSWz5z+0Kkja272U48N9UH1BH7+4G2J79WlvoBkAaDb2/nKbvnHeOeNMajF5NxP/6CLwWInH404C/4EnQsDQcwUsw5JkI75qIOPKtDAksMiQ6c3UgLjbxEsHXC9MdxPxrQdqEkYLhv/uruARYo8tzPfHWz5PBPgBMpgBdqr0B0OX7EZs1CUM+6XP72SogqIQbHGvHKTULrFVYENGuWWd6FPUO1ecyfD1xxhTK/tjbw3WswRIiu9+jaWuAWnBZ7KA8Xrlgyg06DcuSLQgp9wtOetisA19XFySfrPb9mTZBwYEWTb78dfGd4GLjpJvv/GBy6CgOj88Rpbp433WQ7VX3gAa0ypFi2DLjttuj5iMSyRPw2yhTaYyAeeSLH07HY69YFLdKQLVriYYqw4Q0Oghc+gyfK5aFn8/hw5cpw1VXAPH67ZRx7FpkMfM5VCX5u1vWYLXTmaqJZ0y2xxMugE0swnRE9khMKyD9vZSJE/r1GrOGG0ArDseox0KTQ3QNkFqEmaBTMjzS6QajBGkzkEmF+omvRIvX+VsBf/gI8/HAs9S83qoSYg8w3t6ALk6QmtTm0YNEiwOQkMzA8wl6oYxIBiYKzskSIXvw2QmurCcdKnFcj1nBOlHmcjKIbBbcctVVPsJ9qMeQRIQkdEqbW6O1Mru6Wro7MrrsCkyb5qqn4nuvW6eWtq/fhd12y+wA6rBn24ibKY41AP4/3vKo9Bx0EnHaaVl21wKlDoI3j1kUyq9cBT+Q4iFFety5YjPXYWZhHN9JFMcr/7eG9GQen8UtfAsYGufC6B4+mMWuj18GP88/n7o4munS5HHzOVXljMJ51U2SVmHtwPNz4jGPQhywyTni76OW6Qbt5IbRMpBYumvbWey6HFmdcj1ZGEIgDuXsauCGNeKJIFry5J5ou3LF+zDHAl79sUtWKRZUQ80FmUtuGeZJ11T3RBRGXX5RcTrxf+sU3GXQiDQHVBsLMSQ/gqKNQWIR2xjqOZ2vXTFw+kU/G73AmbnSed1GDG3FmQDdjDSYii4yAIOOXk0cNbsMUAMBUZLEZDYG6ptCH9r7vA3fcIa0rAOD119XPRIVsA2a5QgYbtcd1yZ/fQKZW0FY3z1ECb9vlFE0qnLV62nj2LxIlwgC9uTmIURhGneQJxjP4dR8rKG83YyVqfjnP5goNnRy+j//2N+5lHd3WVApoP+LecOWGHhwfsgAAIABJREFUgNAhNs8BNIe7nxSGUYsa50DnKvHPwgK0/mKSl2h01FDCu1CgAsE1DUvQhnmYgizexF6e1U2XY+UihT60X6pWimcJYTfmp8ylkcqYSgdtV47nhjQai41SxXuTfTFWf3sViCoh5gNvgrgiINnASTuaAjzEpazf1iZeyydPDl4TtSWLDI5qXGHrlziLkM0BoIKTv8ZGoB6D8Don5ONOnIJFmAn/cBrEKMzB/MDzLEHGWsyIFoXxtRsCAW3ZukqVrZOCyqGrDiGmek6Vv+hd97qojqUiuniII+KEruNSnsjYl0fcPov6t43AHMxnxqujZzp4HXKPyEMlmYInyq2rZRx1ulZo+z0Ta7kyGDmALqm7KAuEWvjFnv1bvXpXrhqK3KO+GI1YU9A7vAWnewgiVvEeAON3TT4fazFkr2/fkRBizpzmcplQA3DaYmEI8zEn8nrQ/fYI7vVeNArfkfmd9Pd7WfztlRhVQsyHgEkts8mLF23CZNzPJ3xG2LHmjIN+P/JI4JJs4Vq6NHhN1pa2ZZmAFM891TShB7294Lqk4KEXE5xFjn9PpATtsV7qgtDCct3wOK74aAz6zOM7xgUVMaC7uEUhxFQokcuUUNCpv4n1px+LFgF77gn885/Fa48+WnSb4bxrypnQQS8mcEN9td2u6WKFyHbMqwAv0saSH7xYcBSalIsMGYQSBQ59Vn4uB39+dKPJ8ajPrtl683QTxjGiQUEQdIfYc9c/seTCPjjfgtO01zcxs8CCvw0jYjKgqhXYEFggr66gs/67XDubOPUilYLHcW/hMFHicVxqVAkxF8yi7iEQmE2+HXMFe5uFpTiB7xfl2D/a75tuiuwG4kC2cPGINHdB6EETmtCDdswttKVnC98CyA1HZAa5CbZOPD9ArEeWFxB5ZQ2FEZeLiCS4U26eonLd+1ddBTz3XPzly9qrqlNc+POf7b+vvmr/ffZZ4OijbfcZDPxzthHvBcTeddiqCEith57elPohALjySjtUlYyj5yAQaePz7+hXKIGxxz2MCjgafKvJOJB3lO3DtY9nlQ1YHA5ZMH/XQlMZBJ25zz8M2Bx/D6df43uJmQVBqcYgRoXzQ/joo551w+8m0YW77vvXfxGRWltrE10LcU7i/vYqDVVCjIOA1Y9DPGTQKVYmdCaWn8uTOVDg2kAFTkHt7fo6YlylWYYQGl8ftMKyoSIYwy/eOg5IM+jEGPRp1ENTrLRsmdC6KxIOP1x+X5fjEwdHTJSHiug5/3x1HnEjzoDeOocb9xlJUHh3zt6GKRiDPgygrhiiB11YgulYjNO1XLCk0CcUsTc1ahiSAMBdd9l/TRwOy1BiUfRo9KOoW0oYPZr/XCYDToggfVgYRi28jnlrMIBaDDuHN53Dr7dvajCAYcHBj4CC8rusru7BVwapY1N0IYsM19JQ3IxwHN4eNJmNDyL7QHPooYVL6T1EfcH3uSYiUvP59wfRxUOVEHPhDEYeATMVWVgOUdYoEHsriYI4fB9lgBkz9GToczCfLx5xCaGQi3M9tnjMvE2hw8XSeUbpusHFJz9pK9dxPLknCh0dsSVL9DlSa9YAhxyil//2oCMWh1f3GNvBU3JOYUuBi+y6YBH7m3I44DiLK2JPoQ/tp76kV5ko7SqxIQZ7aB2DDZiCHBNlxNHH6hX7gmIPrrfgNA7nUeahygpYQ+ZRpzCs8OftXZfzqAtcc2EBBQtPnljNhSt9EAZB56xdIimMKbwxP9XffTx60XxoI2pqCM1pUvvruu++wKX2H7wnCH4eRDeahLphLjOh6tC1Comyo02U2V4JgtZ+k3E/P8OYF8GFC4HbMMWr9+WToefQInQ+6BI5awf1ndKyGMBobMI4qBT4RdDhYol8NvndWADgci496HMWCFMdvahgv7urjOcfC6++KvZH4kdnZ9BxrGpsmRD/smd16ximnDBiW512uUqTy5fbz/sJXsvy5M+19vNxcDPoxJm4EVZB7EUYMwaOywOHA+4QbUUOhx0mbZp1K9puP0jpWwtHHAE8/bS6fRUA/6G1r7AuBCENVcWAAmur+FvXIs/RYzVZk0zcZRDHb1nwWQv5AvHODYJuaFjkIUr2q9ciSjLolLqNcFGHrdiEceh+sxZEFrp7LLXzVE6khMwJGwMcvTHg6zgWiVkvUtYWtLdzHJZ3Vx26vi+h4sbYB/mgo7+lOEGd+Ztvin07GSBwevKxc+3Ng7+guIRQ0+iw9bC0lfiDIGxGg1RPbBYWcK1t6rENt+C0QpsBToQB3IDcE/sIii4xF4gt7/LLvfc0FLGN8je5J7ove+fTn9arkwo9PcVoBnEo68vgxru813HdcOed0ryF1n7M9RxaHCXuovWdiLFXmKPn/9C2oKPT0L2mQR2n8skn1W2Tgaewk9DYlymk86CykmzDPK4bBD6opGF8dEGwMAfzUYNhtGEe2jHXEWTW2cS6AbcrIJ1ZVWOPG41IDrI9wNU/G4dNgbVcSTCL3M4we1I75mIb6rnlisJATdv5f5DJ6Dks3xFReSO5XHAGWFhzdi3F8b33tp2DGtQn3rpQ4aTU/pFcwPTd/2z8sM3GpyAXCMYL2AvMIswCb1j6fdIIORh/FMTVqyQsXBg9D5mOmK6yvi7efdfseRHSaeCXv+Tfc+uUlINGRZtl/gNdCH1kyfQeiYx8a3kQRp3hGY6rioQIMVNjGZWVpEl+djzK8P4vwrim0M2ZdQasMlCSwWi8aR4sXKzBRKwVuJcwdSuSu2+sRzIxB/MNCGoAsNCx7iTkciHize4gqBJiLiKasysJOI47iiQg889SgzymIotmrAQATJsGRsxSRB22xhobMgh7sfIvUuLAuUGfNEIOxtox/CLLyRErE3JPf4gvujWtWxJuMER1UIUssayiRWSMLjxk/gNd6HDNAsjnjXxraeO554DPf74YJcKFCbcz4hg1ObTq+IKShZHygnAyfmdbsRsTVLaoeAYWCvT9ROCNI3X/9aOB60tRhRxahPErdQhW2bexnBBOKl0tHeRyQOvPdvdIJkRqMTIMYwRaW4Hxgmhc5Xd1kiyqhJgLZ1FSheKprQXqa71ESgr9Ypm8u9jxHH0ZIJcDmpttVSeRPpTMPwtAyKO2GLbl2dm46SYwYhb7GZdlra/war/Hgyq8hkcH58ILpQuMXylXyMEYL7IGLTGSJsQUoslcDmjNHi20mhVi0SLgxhvjraugjqHxhz/oP6tppZlBpyfuYS2GMA1LPFxYEaFQg7y4X4n0fWvphsUCgJkzgf/7P66bmwKuvbZQh0jwE3sO1IdWW48ubfVwfUHlcl4dz63aKg8WbsHphRJkZbOow1ZkkUEXJmEhzgno+yUjBbBdArE+tFR6re46rlIv4cHN346tyW+PHcLJdTLrfcbUeWpbG9C/Va07B9hcTBnh3N/vam0EdbA/+EH9Om2XIKLtIh166KGUKLq7XWcCRAClsZL9WUiNjUTZqQ9QGivJwjClsZKyO80MPgjY+Z5/Pv+6H/5nrrmmcCubJUqlvLdT2ExZtHjyE9UZyAuuB5PbLt3nRcnOY1hZtoVhZZ/badhzIYsWSmFzsE/O+DO/X7dt4/c1r+9VSeedrq7gtYkTzcpj8ZvfeO89/zyRZdn/33ef994uu1A6Lf6+tGZNsB5PPeW9NjBAtHgx0fAwUX19sE6yet9xh/qZ886zn1m40P599tnBd9xnRHm578jm02GH2X8POoiyaCnO2102UPaYm9TjyZljWbRQHbYIm5PCZspmOfU891x+3il7Xnvws595333ySW9bWBx+uH3tiSe877S1BcfQGWfwK33BBeL+c7FmjfQ7sn3agA3kn++FPtyyxZMtb00zWafcsVyLQY1n89SI1cX1UvC9Tcs3XVdnYkFgbfWs406SrYOpFAXWfSIiuvdeQZvUqRaDxb3MPyb9uKk4Z4iKS5Cqb9x28vpAq461nLrw5kWFAcAzRGr6psoRc5C7e7TnpNIt4M6sXQtkPvGqV1l+70f5mRKFrxDzbltbMJa1h5vknFjjcHCq4wNHDVcpswYqKya2LJmowa8PIowacMS/5VXTcJIZC6J8ex387W/FMk48MVC2UNdC5DfIf+2KK4Dp04FstjSiyYGB+HTRWDh1z607zqv4vG4cWv+WKXAkVFaTKkXyfjQIdb4y6ERHzQykJ/QJLZ3ZumpBNL50vq3qOgvFfGGVtCdgLUS+ozB1quc6b02TKZfz0IMmTYV9y/FNWOTATcOtXKetSaEbTViEWQHVC55vRZmOb0cHhMr+psYTLvKoERp+Bavg/RYikWEj1iA9enUgostCnIPbMMVY9UXkNHZHQWKEmGVZH7Ms6x+WZf3Lsqz7LMsa51yvsyzrFuf6y5Zl/SSpOugilwNaf9LoEeOIpmRNDVAz5xwvW5lxbudBTJuxaFPtRtquxxm2zkwccfNcHzjRlFn1FjS/Dk4GnZiBhUE/aQLRr5HvHSLbYnXPPfWaEBVJE2Lnniu9LVogm9CjV7f//Mf+O20asC26V/kA3DqwPtV2353/TBRCwsm/7Z1zgoTW0EhMw62owbBSH0fL/x0z/QoiqGt+XdDJ7Lr2fv0NTxe6cTdLAKkO3UMPea8JlypeXflttHWc9NaabjR5CHGZHzB9kLbfs1rkhfqv/n4TrePp0e9Jx03Yg3hTbcjD6XHHof2SIaRG+dfrPszHHHQdP5u7Nrs++XgRGERehkRhlHYUJMkRuxHAj4novwDcDeAC5/pJAEY61w8FcLZlWc0J1kOJtjagf4u3Kwg13JAWw8MoBvJV6dy4zNOIECsqOvX4/ZeRy4lDZfAWqzprAPUBC2PbvYT7VrKggA4OgMKJycPpajg3nliSa9cGryXloKZEm5+o7PZ2IFXv12UUOMEtB+Lg/vjxhz8A11zjvfbaawCAnjyfAB/GCGeDVLh70TjksA4pA0G/84uQe0yxUZaaIxYzdCxPC9dknBQtZ6RUcK6qAwtBtwhm4NXHVnkvBFlHF2biOq7Rh4xz5+8foeHIgVlJ9UjD2CGPEb5IBCn0oX2nywXP88sp4MEHkfnov9Bx0ZvceMay8RyQaNS9jY4O4OyzgWBfE1pb9au4PSJJQmx/AK6p4MMAvuX8TwAaLMsaAWA0gAEAGxOshxKi0xkBvvAbArZ7lBO7CMy77e2QuproH6xDW1twcPPqDNhK9EsOvQ6LF8NnlGBbM05FlvueZsU1n7NwPWZz3VgEOF31d4Wsi79ITpumTIknbz/KTIhlMkDHtMf4C6RO3TZsSL6eupDVd8WK4v/f/jbwgx947w/ZxGgYbjFLuLZjrsLKjjB5sv2fUMx5x0eN62CMMhJiOpanhWc5cSYLnBRMgqVcR8zWJwq1nhHgWFmKHJQOow5j0FdYqxbiHK7KhNjVBqEbTfCH0uOqXbx6cYg2oNCGLKbgZkwL5ttwT8h8AVgWMsdv4EsmFAcLzzr/keORydiefWbiOo/RzExcF4vHn0pGkoTYSwC+6vx/EoC9nf/vAtAH4B0APQCuJCIOqwKwLKvVsqxnLMt65r333kusoqLTWRo9hYGSl7GVRQtdlDAuTJ6ZjB0MNV2zCkJ9CWees4NbVOc8apDZ+1FkMuDGdZRxCFRowCYDs3C+G4sATBQEZERxErpOpvUoJaL4EXMdooZ5Ny50dcnL7OgAPvxh4PHHxXk4sg59tzQUJFxhz6txgs3YhlUwjBaK6FRBv+MYn2UkxIQEBIf498eZ9Pd3HGoWXoTpW6sQN3QzxJFIupGWR/eASlphq8O4/hVnYUEhJqOrKpJBp9IRtMgvmFvHKcjhNNyGbn++UcaHL0JF4J4POlajC3GO4wC3BkOow0KcE75+2wkiEWKWZf2vZVkvcdLXAEwHMNuyrGcBjIXN+QKAwwEMA9gDwCQA/21ZFtcdOhF1ENEniOgTu+o6Qg2B9nZw5dzsSc6E7V6A7gDXWDwzGaBr4uFIgx9uhkdMiupWgzxq7r4Lzc0QGiWERR/GwAosevJ+UAYDNyHE3noL+O1vnWJ95ZYyzNFQkn7YFCDHfcXNR/HdVxjoVvHyLhnuvtv+qzrQvP66+J7TjgC3uEZkFNIt1DmUbXRA8TAkXCtUQb/DEGL+d+L+PoZ1MtHbFD2bQ4ujIhH3WDPPrxcTnPijsn6wim6BsBjTsSQw7wB43KPwVUbsg+n1mG3udgayvcgqJDsYui/fqHFfNQkxXhznKA5vdyRE2pmI6ItEdBAn3UNErxDRl4noUACdAN5wXjsVwINENEhEqwE8DqCs7tAzGaCjfbXwdAYo2O4yjljYhZH33vr1/HrUDQR8v4gXMyroxZiFENQXOfLjv8nflxKEJoTYJZfYkdHfeQe46abidaIih6UUGBhQP5MUiGy9xwGvQrKS4C018vl4lM1l9xni2xNguuVBpGq9itYqHToVl8Y9DAnXig/dLH0/Eb25r34VuPVW8f0XXwTOP78yOLgobtbFwOFhwG9LAzZpB8MuwqwOgxgVDBvkOHW9Baczem1yws7/vnLeEhk7I49lPZCNWd89qWVyhYy/ciFJq8mJzt8aAD8FsMi51QPgC5aNBgBHAHglqXroInPiJulJTsp2FyFGjhh++ENg61Z+Pb7+QCDod3AxI4BrZVQDvYVJZ0HiGwa492SLhN9hqwdhbJeHhopxBl0kpQ/Gw+Cg+pmkEIf7CkneSugQFCtX2qZQt90WT5kiCJyRZg55BR2futloPss2uhT6CochXsDnfoxG2z+ONzv9i/px5coix1XV1/fdJ75HBHzuc8BVV5k5kw0Dtp69vXzDGchcMHjHgK3+IBoX7lrnRR/GGnLa4iMOejEhkrGAjkWkf2/QqX9kl0cy0aRmWVL1nvcJkpTVtFiW9SpsIuttAEuc69cBGANbh+xpAEuI6MUE62EMkRxbyHaPqiOmszH+6leFfwP1OHiZ51H+YiY7hUXRTWHrKc6nEb3owFkQLQ5Sf0BhCDF//5V6opeZEIvsviIJAxQWy5fbf2X6XaIyTThHfQLinwiZSX/Xd3/iYDT64YqWajAMsEQccxjKoNMh3LY4XJCYRDGrVgH77CP2qG8iZmIJsKT1J9lvOGEC0CiIcyjxocUSzUswXaimkUYPGrkWhLboT6el9retHOjqzLF7g6h/AvmazGneXNR8P5R6z/sEiRFiRDSfiPZz0o8dL7Mgos1EdBIRfYSIDiSiX6nyKgmcwRRKjp2w1aQO2HAhIp9IESojuae3gG/COAAQLg78hdNBGB0G/zvLlglP4YmgzKJJY/cVuhsxEfDzn0esIIARBn6c/N8yLqV2g3EV5DJbGIWtyGKKkIhTOYkNQKddrn83F3ERxjESYtyD7OCgTfgp5oXQh5ZjOHUbbK72VGSxGQ0BP14p9GEy7pfGOyQNKcAuCLdW1GErt06u0j+vNqq61GGr2u0MZxyoLH1jcWdjIJo0sap9v6HqWd+FM5CNF08ZdHXEIi6muecPQGsrCsRj/JwvtY6XCgMYiTbMEy4OmzAuXqVNvw+3ww9PxjGpCOUkxPJ5W+/xzKf03Vc88AAwSuw5vgAi4MILo9fRxEOjiiMWcv7k/n2E0oLLRZh1wThIeBhiaPFi7+8rrzTPI0YID7Jbv2Hrovn9vPkg2qwn435MwGpMQa6Qdy92BTnxcd0xPg1LnDiUqr60pOK7XjRilJCIyXMduTbiPSzBdCzG6YF5Nx9zBGJtlb4YOMZPPhx2GHdOZtCJJZjOuCjicHGjWk0C2sr6odR73i/QiYNUCSnxWJMvv0wECONgWb5Yh5506qn86+vWEf3gB8HrfgwMBJ/5xS+8z4jKBii90zrZbUUyja8WJdl9OAYbuPfTWBlfYa+/TnT88ck0RPE9CCBaujR4zTTW5C9/SbR8uf2OP9akLNXX2+/cfjv//qpV6noccAD/+tat6vI7O/mxNtl08MH6fb1xo/yZxYu97dHo4+x37qVU7VbPZV7cPzdBGB9vWFiuLPZrOs2JNfnZz3of9Mf/zOfta+wzxxyjPy5kaf16/rr4r38Z5SNqc2Fuz5mj/jZsTFAnRqMshiK7bsjj1QaTOFalOE6uG7cynaZijEa0BOrtH0vu/TBrbqGN/nFusp6I0gc+EMyTiOiFF4heesl7raPD++6yZUTPPMPPd8oU/Tp89KPy9vAgu1chQDXWpCGIAISUY4vM5+PwIzY0FAgP4kfPhp1CF6N2nBgfLACzsEDokyeOWJkFUOnaxUUcHLEf/xg48kjz99y2R3FB8fLL4d+95BKguVn+zAsvqPPRLXPLFmDzZv38ALQ9eDT6h4PWbSIOl8iYRDZ/xMr9Frq7gdZWJ7BDPg98/vN2/FAZ3K2nlDDk0im5gPPnK/Nw9eua0IMeNKEDM6SK7myZpmvIMDeCCiCLk9uLCY7Ta+A2RzQNIMAJnIosZmGBp11yZ7Xibxvr2hgoVlDuwQcDBx0kf9ZANOkXWc/CguLvlx+IFuRk0ybgqKOAV1+NkEn5UCXEXDgDLJQc+6mnxHnqLJy8Z9xrF18MfOUr0tebdgrnBb2uTjb1w0KcI6EG12M2VOFk4qlGGTYtFnGJJjeGCDrhtruUftNYvBKjEXRnp20lKMPs2cBYscNNHrrXj+NfR5orohQZkxBqhCJNr/VkcCz299vh1bBuHfB//xfMQEcEG9cYj8lvnCjMjjr8ThF+8aYqLiS7bpiuIWn0hFgDrYL7H1d/mCe6JtRgEWYFxofc3xe/NokqtEcZQ5oOXXkia4+/tME9cPrpkohzJ58MfPrT4nrcfz/w978D++8fvi1lRJUQc+EMpljl2CqO2Btv2Ob1sokg4kwwaP/SX6UhkESwLIWSvDEIOroZondjVdqM6qQwKuKymgyzSMbBEYuzPlFw6qnAEUfEnm2tJWqHxTXOEYeosaR6YiouSHc3zAwldK6FQQzK+jm0YKOA222iAyp2YcEDYTLuL/yy//f3iZgD1Y65GAMzbioLl4sq4lgRagLjQ+7vK/gdLOQrV6FdQojlVh5Z4HhNw60CS/4iBgeBOXME5fz+93IL63JaqceAKiGWJGSL5PLlwAc/CEydKn9Xg6DIfGyZHQLJ0Fmhy7TRdwJIcP0i8cuJtpibELvKUBnlFk2WkxBUlf2Pf4TPuxz9KvAFFgXDJB6r/WjANNyKHFoK48x2OCwgpgRcNBYijoZlAbm76vUqXeGiyTbMwyD4Bh+usY4OzMRwFpbihMIv+/+gx3qeX7FaDGEJpknDF+nADUUkQjfSATdIMlc+fhDM1kY/yrFW5tCC1r+frs3VdNEbF1/AsoCW7cdjf5UQc+EMxhxacDoWe1iop2NxOIu+hx8W3/vIR+y/Dz0ErF8vrI/Wht7TY4dA0gqW68VaNKIDZznElQyEmbjOCcNaF7tuWYM0jp8XWi5GokQ1UEFh+VUo349SbaIqjth3vuP5qRP/LZD3do70znKR7zBG4DTcXAhXI9MZKnDRJDou7ZjL1UUiAtouG61X6XKL2xVQEVC86Bm8sWcixvSXK65D8NsNow5/xpe59/jgr8Vu3Ea+rpldtrtGuXpRro6ZDsTcWDlyaAlYmnLXStWY+uIXxeoGAo5YG+YFdDBLjjvuKG/5JtDR6K+ElLjV5IsvEgHUiNVco41GrNa3AHHTl77EtxIiUr/b0GBb3jU1qZ/NZAp5mloNudY4WbQILUYBonr0eSyCRP0UNtVjK9fyaCYWBCyRlJZZgG3tc+yx8VUwjrTrrnrfnjdeTKwm3Xf+8Af5fee7+y3SZNaDtGlT+ftRp+2KZ7In3U2pkSKLuXApnZaXK7K8tKw8/50HHyR67bXi761bif7xD287DrhMaqmnnTZu5K+LL72knYdq7anFoLfugrHXILCqFva7Z10wtUjUeT5PjVjt1Mv7PDtXZmKBMj/ZGstLgbnIjm0XvpeyaHHWZ3FdPGvlhAnBPP35Tp5sX/vtb73XX32V6IknAgWYttNNjY2KucuaGrN1vvVWeR+VCdC0mlQ+UCkpcULsn/8kAiSDV7BYytKXvxyeEDNJDCHGW9yEkzxFnkkuNtGnQL/UYQvVY6tWOdqTEKs5dQ8ufMINjXUl8K9/ER19dLz9HDVNnEjUEmKjJApHiP3xj/L70HA34E8qVxIRk8oFgHbbVc+0t1P23KeoBkMhqslfIyxLXq6wr/ca0it4yxaiv//d01f11jbPI+6BxrhRGzcS3XQT0YEHetdFA0JMvfZ4XQDJ3HvoVjuFzUr3FmG+JZtE61JjIwX6Wr6G6qUaDInHPzu2XRh9A2esst+isTGYp38OuYTYokXe66+9xiXERN+2FoNkYZgasZpGYMBzr74+b9NZqsqvWxfsB5YQu+MOfnvKAF1CrCqadEG03USBD7DzVxZdHPiNDUQix1oMoaPDft7NzyQQrR3cth5IPB6bt9x+NAhdCXj0NPL5ylPgXL3atgI0hWUBCxaonwsBY6ejFN/39iNUVIuwIELm6DdBofQaBVa/CtUmrkV2Cmi/cItesb6+n4P5GCCvftkARmIO1C4iuHmfcUYx9FQIuGuPJQgP5DcMiuaSwXag2oGzsBQnhIrjmEIfDsSLkK1hruNW0brk192KavxUj224FVPFYbfeflv6vq6hQw3yxf1jyzfUFRPNe8tC7sHxAfFyO+YiVRuMMHALTkMetViDibgZ0zxGcYvb30Fm/2fUdVGp6/hUL7YL6FBrlZCS5ohl21dKTxKhRJNf+UrsHDEuO792a+AkUWTVDwfYxClspuyHLqJslpQs7NIm3XoMB7hxAU7ACy8QfepT5W5Q+RIR0d13y+8jBEdsw4bE6mxcF0XbpOnnPyf64x81RPn+MSnmmOuc5j0cv7QjaVmzRq9dfX1Ejz9e+B0r9579rsPDxYXRgCPmJpHDZv8aKup7HgeqDluoEau5nCIzMViegGHHkeuwxKFrvuC4VZY/W4+u0p32AAAgAElEQVQsWqgOW4y73l+e9ktEAWfgen3hlzL0FctlwT503HH2NR9HLDuvi1Ijh3z52eLU7Gc7QnG3lVzx3l5v/YiIbrlF3EdlBKqiSTOkJ/ZLB+5MLDCfXcceS/T97/MHR7jZKt6s0sU8+exp11O0PeFn7nYXpVKhq5FQ0iPEGrE6sODVYYt3wj73HNERR5S7QeVLRET33CO/LxgrUh2x9esTq3OoqBaStknTZZcR/eEPUlFOPbYGdBSlOqSKcgMbjKvu8t57eu3avJnoRz8q/I6VEGO/68BAcWE0JMRkelL+7ygbe4W+svLKTdxMX3XYWHQnI9b1vPrnJd/KO4aMRPNERD/8oeea/GChoTPGgn3AJcSuv16rvDRWEp15pvE4zKJFfcjmEWI33yzuozKiSogZQnWSCBV+57jjjAgxnUko3KwY/RQdhf2wypRhJnm0fII6YqKF1/ONjjoqzsZtf4mI6N575fed/40W/3XrEqtzSTlil15aMGZguccup0TUD1LCVVIu972UwxH7z3/02uUzlBDNA6mOkSixhFh/f3FhXLZMu99V3CP/d/QqlfM5Qtnr1ivDBvG5UGIiVac5LPcuixbhey7BJntGP+XNDkVEtu4W5BIQHUKwQHiyYB8QEGLSw9NZZxl3gpaxXJUQ23EJMRXxYnwqB4j22su2fvRf58SW1OVM6HDE4iey1EnM4g+b8o4idXBzjI1zUsnJsqK9P3myNiFmlNauTazNxty5KG279FKiu+4qlGsiQhE+LylXOm/ffVevXRs3EtXUeOpRh22+x8RWfdK0fj1RbW2xHBcGhJiKG+MX46m+dRYtlBrNUatgnjGzEjchlLyEoYhAcNemeNZcfv2EBxEiosmTFRIQvbKVHLHmZvvvSSd5rksPxSEIMS0u79q13voRVQmxUqXEdcQU1iaxBqRetSpwTZcboKMjZurCInrKR7RcUid2AY6Nc7Kjp/vuE98jCpdnb2+idS6Z1eTFFxPddVd8xJ+iXCkn+5139PLfsMEO6M721/6XFPpLdBhqxGp1n65bV8zbtUojMiLEZMSIBa9lqM4c1nkm6UMnKyqNb30z49YJD5hvvCHtJ9M2EuDdFBUviriRBVFiKQmxJUv4eZYZVULMFBD7Xwm9MIvS668HrplweQKb1ZHXKtvAzduKT5zoLlZJKv6zPs9i2zx35JQEIaarWF7OpNM2hxDT2ex5vu24IjVJuVKO2Ntv67Vr/fogIbbfxYW66W7w3Lmybh0VlEbfeoto+XK7PbFxxLzrmM56p/NMKQ6d7LqjInp1kqhdIlcqrsuHABG9887SflInjjjYtyeG+d6uGDH7+RuMD1Vaosnly71cZCKixYv5eZYZVULMFMzHi+VULkscQiwSl+fUU4lIxNXLUwM2BBQgUzX9dMwx7oKip0yqM6n18gm3cLALcOLfaEdIGsr6xklXsbycSadtF11E9PvfKzd70ZzyP1+PIleaNzalOmJvvaXXrhdeIBo5svA7ixZK1ciMjMQpsK6sXUs0dqz9/4kn2n/feSc2HTF/eXFxxHj9WoNt3G8UNvEOw9E4cWKCOeibUU1EmxCjtsaDc4Cw1vD9lHH2RF6SzZ0sWig1wrfnaByWeVy2gCGWPxHZPvBE98qIKiFmCo1RHNvmz3rLZvIOzeVxCDHZwhU41e92F6VSuqb5JkmVR56OwYOhygrlQuT9nDTcVxin7ZgQ88yBndZR9vtPKDd7k00uneYfhgKWgO768dHLiYaGuKoKOkmvbprirrVrCxwWGj3a/vvKK0pCzN+mY/Ag310OR8k+Dh0xXh3CcebFz9diMBLxY5aK1u0iDpmOuooobx9Dle+5X3NPlM2dKIwF432WqEqIlSqVmxCLVRzGIcRCDUA3OYSY+JQ2HMg3Xf8299l4lU95Scx9s8scFi5AVULMMGl41jdOq7eDb8BpG3f+1g9ydRvZeW0yDyxLfhji3njrLaKenlDtFHOW80p3G1yOmBvqpq7O/rtihZQQE62JvLBkovdVz6msJkUpbkKJSyRK3f+oD6TqcvV1xvSITw1jgJj2xJIaVBFVCbFSpXISYlm0CHUCQimIv/pqvAOxxdZPEfvT4YUJKoU5tn5iT53vC6vIUiTHKpCbFGNemHRdLZQzcdpmwi0Oa5WXTosPQ8Kx++abRF1dodopWpPYmI7aB8jeXqLddvNeW7HC1scRlF8Soxldi1Jfsrlp8a5fAU5UlrjxJ4E8HYgXnP7h1yGKI21R/6rHqgZhp7knsv3Mc/2icwCITcJEJF7ryowqIWYKzuByY2LJYiqGIg7iJsQcjpiJY0MdwjLuwN7ypFbArVpFGqY77xTf27YtXJ4hN8aSJt98JoQn7k11xERjlyfeIsAmxF5+OVQ7xRyxoONU5YbX20u0xx7ea6++KuWIleTApDneZmJBQd+1FjanM7too4Yhg34KtItkbo9sD/68/cMlhMNx7cTOxW1nunIuKe9eFI6YS4T5867DFqofIRYrx26t/NRT9v/77BO8V0ZUCTFTMIPLxEy5IjhiStEkLw0HdMT8EyEcIRZuwXMVPGOfpO/nxAa/9aewoYp0XS2UMzHz2U1x6qzIrCZl6wd3DK9a5XFBEYf4LdSatGYN0d57e68pCLFSHJh0RJN8b/55mnl6v7KuJingBiSrt+ay4Zkasdrzf5j1kte/ugcG5ZhkXZfIvovGPtk4bpsxpznU2CEievJJ+/8DDwzeKyOqhJgpQkzY0MTBihXm78iSQlmflywM08zWocAGw/42s24Un7h0k4htzS5e7ISuWk4qUmen+F7YUEW6rhbKmZj57CaRjphf7yfSeHLKNVFlyP5mTehDB89qMvSaxDMYeO01qWgy6QOTrrK+UERbm5fWVZ78RMwwjcCAty4pfSmEO574jlfNuobHcTRZ+2ssm4OVrl3F/1a5HHcOmZZnWeJQW7FyU4mKhNgBBwTvlRFVQswUjidzXWJCKGrQSXETYi3q0zh3cWhSLVRmnqijNkOkhCpSCK5yzRTp9tvF98KGKtJ1tVDORMS97tFnqbHFVVL3EqbjiSlXd6NJ7xlN9zQ76afJHUZef11KiLF9mkT56V37tPpGN+YmT5+p6L6H/76qmto+GwuHW/49k3J5Y8PsEOz0y1578R/47neFc8ikvPRuW4RjJVadayKiJ56w///Qh4L3yogqIWYKhxDTofQjb/gRCbHA4nfkArsNYBcbPYeu7g/9E1W0GG7SicuZhDKdm9gm8o6abrhBfC9sqKLtnBDjbZwWhmkMNnCzMhpPTLm6oheRU2VtzsBxxyXXjxqEGK+P4yLMdPtGhyMmS2H9Grp1aRCMHf9317Vq57kAKSa+jpiZ6NXpF78o2k3TpgnnkG55KWym7E+LY0fvoG+7NjL+CERFQox3r4yoEmKmcAgx3oBhZfyxnPpeeSX0u9yTuy/EEUHzxMJwxNTPiwmtor5D+C4REbeyBUlUl0gV2ZGS64aAl8ISYm++Wf52qRJR4JqaW6y2IlYFqGbL1eWwReWI0RVXJNePhoRY3KLK9F56frSEOmLTt2iVI3KXo5NclQ7Z+qhSzhfpfJkcNk0kGo2pPvufCIQYrzzX/VBhj/zb34rfUpNQZC1+tRMR0T/+Ib7nYmiIaN482xdiiVAlxEzhC6abqO5RBEJMOJnTpPWcZ3G4eUD7eXkaVi5G8pQX9nGVI5ZQChszMqTz0ZImosC1sOPbnf/SmHpw1ow0edYMLT9Z89+LRrxcemly/fjGG0T/+pf283Er72ev36ClI0YQWE3+dpO6/yO46UmlSBFjN09jsCG0EZKpHpV/vPEcZ9fWEmW/7fgXjECI8coLtOORR5Rt4fWZ8Yc480wP0edJLF580b62//7J0hIMqoSYKRhCLPEU0lxdOjkt8lzQOrH885+Fm1EIqTTEnpT1kpiLJTrtHoMHqzpiUVLYmJEhnY+WNBEFroUxJNFxMyBSwtYei11d0Q5+P/tZcv34xhtEs2drPy8TvYUq/733Qjt05fkRixoeyJvyUncl7Pjw10vJWVXUTVt/EC0B1xn19Qwh1tTEf/e007hzyDgxhFiiHDGA6LzzgtfGjPHu8cx+VypUCTFTbCeEmC5HzJ2I0kXsoYeU+aqSypOyThKx2mW6bm57qlaTIVPYUEXd3eWvuypRcC6Yj+8il1Y2tmVK2Fob5kqNZ2Tpwgs9v2OdE6+/bltkaz4vU0YPVY/VqxPwrG8TQC7XLOy61Vhru3lQve/nXpkQ7cpnFXuWcFzu5BjqlJAQ43OVOeJkgY80ZTrnnOA1PyH2/PPFeyVClRAzgH2y6Srdhh6BEOPriG0J6IiJ3vUsaj8qnhDMFyQv2z0sITcCA4H+1rH+rOqCRUxhCbGQXuBLmig4F6L4B5SPbXnILmVB//53tLa2tUnbGIlL/NprRJmM9vOyA1kY8aSJaNKf9NazvNBIw/t9g9cbR9iEmClHTIdo13HdQ4AtZwzRB5Yr/kun+e8mRIj5uXMWBh39vCJhHLqsGTOC1/yE2LPPFu+VCFVCTBPZLAVihiUu4jK0RPKnAEF1+DV2YxTvBBbpkUMhCCl70hyDBz11MD9degk5NunUpaoLFjGF5QBH5eCUIp12Gvc6677AcjYAHiHFiyvI0xFTJa0xGpUQmzu38H/cOlr06qtKQsy/FsVpRKOrrM99V3M9szBk6F+MaQ+ZO/CVGR+JLCaF+xGHENNyEaHiiE2dqtxPtNKjjyY3Nv1p+vTgNT8h9vTTxXslQpUQ04ToUJDoRh+REAukb33LbozkGdVE0LG6cRcE0clbV8dMReiqCLqqLli8yUictT0QYoq2mlpF+/V6dMZ57JbWovTjHxf+jz3k0IoVRFOmGPVlnByxKK499HVebRG0yGeZKKVHvlNYc0UEPk//S00gagTmdtOIEcrvEVjDU4yOmGjzS4AQSzwc1tSpwWt+Qsx1+gokQkvwUCXENOF4rUhugPCSJGxIqPTNb9qNkTyjMxH8G7Lf076KeyY6gblcNB4nwmyxyie7qb0PU+zirBjqk6Ten+nJ3MQtgBtdQhZfMPY+O/vs0G1TpldekRJiMp2wsG33cHRq9YgS3pgxVg6/5x7tbrEwTNkPXxpYc3XmkqmInC0zcNHnnkblQsjCMM2cSUSXXWZfaG7mP7g9csROOSV4zU+Isb7GSoQqIaYJ0aEgEFcszkU0bkLsoovsxkieiXMiyKyjeCfkmVggFe+wbgAIlUcc7Mgp8QXSIJXiu5uezE10H90+kx1UkhzDsfff8uVSQkwWdDy0paMmV17VZj0nrYxy+L33UmOjbtcME332s4E1V3cuqQyRdPIgwDaBZPLUyS+dprIQYiLr9zHYEM8e+/WvB6/5CbG//714r0SoEmKa4OmI1WFLsifauAmxJUvsxgjue0UrTJtGBjcGHY6EbMHh6YqlsFl5WtM55bLX2TAlVS5Z+JS4yMAglYIoNC3DxP+Ru6nL3klaZBkrR3HZMikhJvRoH9IFgYyAFbXHnDtvf6saDHmVw++7j7JZD20jTGms5BJiSRH5QqvTkSML/+s61LYsKh0h9thjRm2N/bA9dqx3s2fqUypUCTED+K0mRYM6tg3hpZfiG2wA0eLFdkOYayzBwjuJNGI1ZS94PvCOjv6M7OQtNxsXN0Fn4zdVjK0mdaokjlgpiEJTrpFJxAgVR4yXKnrcvvRSaI5Yqb6/lDs/WrDu8fr7/vsLe4GMiCt8L4YQ03G14/7wrsv8tdnfdqE14ahRzLfQ465pccSmTAnsJ6HS449rfCdxX8WSnn22uNEzVpylQpUQMwUjb098Q4ibELvpJrsNzGRX6SE0YjXRn/7kuWhyahGdvMP65YnDEqpqSWmeKkkMXCqiUJdrZGotyYZDCusqo6KSwqt+3N8rTH6yd7K/3WRHO7A0dEv/9KfCViCzbCzk4RBiqm/NziXdcSHjAHrS6NGF/3UNExobGWX9SZP4D8ZFiDGiQBPuX+Ry/YmIaNs2735XIlQJMQNs9xwxHyGmN+jzlD3/OZ/pefRTiwk3wFMXn95HGCKv6lssXEpaQd6kHpVCFBLMx3IjVnvaIhePFVPFjls3JEyJvhc3v9FyZ7DSOqyzfX3RM8+oy1+6tLAfaBGEDiGmMixyDZ743K+I44HRqTHh3Kbqttn9IyLEMhnPfqL77QJrCBP/UZcITeRQcs01RIcc4r2WzydGT7CoEmKa4OmI6fgWipQM4rdppRtvtBvj/NZ1Zpga6d0odLlZslhnPF00dfJabooWVlM9s2ra/lKlEIUEc+6ujtEJL1XsuH3hhZJ/r0J+li1Gy163PnwdXEKMdeQpSgwhpkVgOoSYTHoS1kIyzHgw5d6msTI2QkzYXxe/5nlONzh65HGrk4aHE6En/KgSYpoQWU26kykRZfC4CbEbbijEPZM58vMmsY8erUmsMRl1E5uf7DQqJ8QihMeopmripDDcXZnRSUndWsSRnn++fGW7ePfd8HmYEGIPPFAsExoEpoIjlka4+LtRxoNtKOW6B5I/LuW6GRJiwj74wFat51QxNxNJQ0OJ0BN+VAkxTYj8iLETSmtimiQFy980Zc/4s4CrFyY7FQvdve+dPOFEksGFR6afoWpTxXIWKjxVEheqklIWwbAsqsTqifH6dCYWOAelGMK6JJ2eey7x/hWOOxdRCLH16+08BO3wlD+x3w4TR6RXT4mOWLj4u9GIkVj1Ek89lejBB7XLFnIFrbzWc6GDwkdJAwOJ0BN+VAkxTcg4YoCYxRzpJPtf/xXroEqP38i95bp3MCHKVGbf/muuOEZOQBVdTUhjpyE8Qed+q5JP6O08VZpeViEdeGDi7VYRn6biHqAYjJ7XpzOxoDL7WpR0OEkR+l/kc5CA4gIdB0eMQ4hxv1GKAjF7hfNj/0vsvJmx5Hepo9bbylNcEpdYLXVPPZXo5z+PXLYuR6wsB+ht2xKhJ/yoEmKa4OuIeQeJSiGz3AuppYjvpqvIqe8IUb+PTCdZFBFnAzaU9Ttsj6miFkc2MaF74k66xKfpocA9tJn6tip7X4sSG5sv5iTqo4LPLBdxEGIcEatw3KdJ7zkmxJFoTPH8UbpJZn0ehkOt7R4iTer8jj6a6Atf0O5n4Xy67A2958qxf27dmgg94UeVEDNANkt8h6eaLOZyn2pFHDFWrCpqg99UOgxHSqyYmqcGbDB2YMkuRLJwMrxrFS3qqcBUSQ5dPeknP0ksb13i01S05I498WEmvoDYJUlPPZVY3rK+TWNlcXGOQzTJIcTE4jTSew6OsrdiTLkRWngOqHWJN539Rb5u5+mYY5gNL4HvySUeORzVilGD2LIlMXqCRZUQM4Cr6C7y1q5DnJTzVJudspRSKbmVJ9fjfT3fs76pOMY129exmjQlWmXcSN71sF6936+pYjlibW2J5a3riNTkUFKPvsIPWczViuxrUWKDJMecZH1bIHKIYifEiodNwbdIk1Y9/RyxMAcak/GlGiNKf2au2JVIr8A4UsI6hpFSX19i9AQLXUKsBu9z5HJAayvQjWYANRjGCAAWNqOh8Ew75iKFPmk+PWhKtJ4yZLKT0bH7xUijCxbySKMLHTgLANCMlajBMJbiBMzAQu8zZz6JDDq9eaETSzAdjXgPAJnVA50Ygz4AlvCZfjRgCnJoxkrk0KLMk9f3sm8xjFrt+lYh7t92zC1TjRxY4jEUBfaY4+ddi7zndzvmoh7bfE/x58QQRhb+HxYuq1SZfS0Cmc1/E0zG/RD1ZRN64i3MGUs5tKAVNzhrfXAMpFJAe7v3mnB+NHd4ronqPB69hTWYXfNyaEE30tpNUO0vGXRiGpagFkPg9Wt/P9DWpl1cPEhoDseCBMd2KOhQa5WQyqGs7/eKLD1JVdipVksef+utnuf9LOMw3pBNxDnS8B2+tvjrFnecu/dzqhhxAZsuvDCRdsr1D4cDz+tzh4sWYjIuY0X2tSgxDjnjTiXREXM5Yo4/NKmur2M1yboB4ups1b9t1+/oo+28JWNLJGbkGW2oUlSOGOCIXZk6J578fuimTStd2aq0aVMi9IQfqIom9aByX+FXyK8ohUNJ0hI53XyztE26CwbrUTysgrNp+/jOAas6YjtM+tnPYs9TNTZr4RXVm4xl9gCwvawRynTJJYnlrXRl4GLt2vDluITYP/+pKNMmxGbODBpuBb7bxz9u/+UE/Q5aT4rVJ0RVrqsdCqUjpmOQlU5ToM5Rk/Rg4fR7IcVcdqS0cWMi9IQfVUJMEyr3FbzJUO5TrU75WjoLN91EBP0TvO0sMPicP7RL3Kc9UdqufDJVk1m66KLY89Th1rLzXJ+7GzwAlHuNqPSkPCiyCFuOjxBTEdaiQ7lnfXIJMR9HjP3u6vVPrEObnfW4PXZSq8nStMrPokWaJ5CMjpjywOH3l0lUOfPCHRsJo0qIaULlvsI/Ics9kKKa3nsWlRtuIIKcaNOxYGSJO6/Cfsyx1aopsTFVEYsjmy6+OPY8dTlcKvG3N+XpGOg7v9yh0ogRod9VrmMswtbPR4iFdY3jWZ/8hNjSpUS//KXRGBO6MUkT0e232z9OOYXo8su1KqiymExjZZEIi9KfmuUW9hhfBJlslgL9r6ueEntyXZskjCohZoBslqjR6iU14TBcdpGDrpWbTNxY2HTHb5TqgjVitZFoMuxCV2n6de+nVLFitATEYvrezoPz3E112GLsjmWHTWefHfl7CA8AzNoc+pCwYYOdCcOZUen68pJnfTr4YPuvS4i5cO6r/DCmsJmOwYOc8vM0cyaFIsRkItdYCVvNcguE60sveW6IpE9h1VMipbVrE6MnvF1dJcTMsO++ShZvJThkNDGT9i90Is/eouu6jmBdQkz3+bJPwmoqpIp1X3HppYnky3PjEkxi3R52rFYkJ7GUacaM5PImvrTC6JDgcsQ4IeWExgKWojwFISZzXaIygkqniaiz0/4RA0esBkOJEmLKtWPZMs8NWXYlX2/WrEmUnCh2dZUQM8O++0oHlxsAXHSvVAMoysYpIpREIlddHRmXmDKPb/k+FutUSKpYh64GIVZMkx4xJu8TkZXc+4pbNnNmcnmTWH9Xe9N2CTGfiEz0/VIpu0nptB0n0W+k5VfET6eDelc6PupkXLMwhJhMElEgJFnE9I2U3PTlyz3PygzjSr7evPdesvREoaurhJgZPvhB4eBy5dgyEV6pBlBYUZKMUBJNAhOdGr1ng3pmYcRg73tORIypYjli7e0lb7MqsX2ik0fZ9F9KlRImxEQbt/am7YomOYQYQRL0m8jjFV5K6PjiU+q41akRGD3V1FAoQowgsiK3UxorvXtdjN8pixZKj1tLlkXBtfjllwv/q+ZLydeb1auTpScKXV0lxMzgEGKBCeo7FfH8CtVioKTEQBYtlB71rjYholI8Fk0CHZ0vl5BSx6gcFnIhTIwgsmgJmHe7gcdLOpF3kMQb03XYUv7+nDcvsbx1uGGBKBS+A4Mpt7jc3zmRFJEQU+mIqThiyjXDIcSyv+xRry3z5nn3A4YQUxIRaSr80OOIiSUHYQkxWR09kQqItPPUTsuW8fN95ZXC/7L5Uhad1P/8JzlawtPVVULMDB/8oBYx0IAN3O9aSq4YAUTHHy+9z7LS5ZtGPui00Ed88sMW5akRqwvvyhRGG7FaGPzWTvpGECLxasn7fwdJFUvY/uIXieWt2lgDRi2ctcCEq1YJ1taJpFmzQrdLx2pSpiOmJRnYsMHOY5ScqCbA5sCyYMLzqIhuNj6lTGqisj4HKDQhph27k0g7T+20YgU/3xUrlP3i17ssWXrnnWTpiUJXVwkxI2QnnqtFDMiCUJd0IEkIMRPrRZeY4olj/QFqRQuuTK9OppzKTkbedR6nrmL6fwdJFSuaZFwCxJ10xrtOHvo6keW3tk6kH7+4OHS7dP2IZbNE6b2HA+uO1rjduFFfz4xDiOlaWLIcMZHuoPwgaqfGRkqAI+YcmFmx6y67xDsWXnuNb9366qvefolieBF3evvtROkJF1VCzBDpEW9qTdiKIQROOEF4T/e0nqrp1yKUVBNG5SVbxZZWGUHo+DKrEmLhUiUYoHCTwSYUJgWVr82IMBMXCJVgbZ1ESo9ZE7pdSiMRFn195u8DRBs26OuZ/fznniKzP1+pdZhldcREY0rPmjxPjY1E2dmP2xdOOcXoMKI6fHscujoRVeJK2av/wyeyrnrH+1zWNYTg6JMllfbem3/9rbcSpSdcVAkxQ+haj1WMaExCiOnor9RikLI7z9Z+Xra4qk6nKra07H1d7l5VNGmeZCLlshMJV1xRkvabcnTU4zFojFKxxG7EZBka/7BJlyNGRET9/ebvA0QbNuhzxC67zFNkevdtwurX1jp5pIvEjWwsmVjopuodUd3JJxtzhVUHhEKII9dXWUwpvafgoLHHgPcCi1KN0+nT+dfffDNW+kGEKiFmCF2OWMXo1ETgiPk3G10LMNFN1YYW5b5O3SpCuXw7TDJxRtn788ory9b+MIcOwJ4jx+DBgIimYsW/UfsvAkeMT9AW9U494BBiojXDo9u397AdP1JHR8xHiFmWgMi0gntHNivmespiTopSGitDEWJuEjIV3LrHTIiJ+ypP9JnPFC+wKNU4Pfdc/vWenljoBhWqhJghVDpirHisEavL7y/oxBOF90x1YHS4TqrFVaW0q4oLKXpfZgRQsYrPjLVQJSctj9zlSJZFdNVVZWu/7NCh4m7w5klYlzOVnqLoiLn9wjMESmGzV6dpyxbh++yawXVMnSKa+Z1etUHBJZd49gMRR6zAVXL3DYMQebrJwrBNiIU0WBES/m7dXT20mJKUI9bVVbzAolTjVBSztrs7TvJBiCohZgqJ1WRFLqQSQsyts4k1k8zKMmpbo/TfdslNICp/HTSSjLtT1v61LKJf/7ps7Q/LEQPERFzVatLwG6SZtVlAiCKaE/8AACAASURBVBXSnnvK89p9m7ouF1/s2Q54OmIePSsHItFnlFTgiIUkxLjrLVv3mDli2QVr+TpiV68meuON4kUWpRqjogNdV1dMhIMcVULMFIwfMe3FopyblYIQY5OKG8WbyCKCNMyiG6X/KtbPlSwReX8fdFD56yToW1MnvyVJNTVEV19dkvabji2VV/6KPiDEnWbPJtq0iWi//ULnoRSjERFt3SrPZ6+9FHlpGPJcdJF3P3CtJke8WVzvfEQYkdjpbNjk0RGL4MIlsFazdY+ZEKO33uJbTXZ1eSwnPXCvKdwwRU7XXsu/3thIlM9HpRqU0CXEalCFEj1oMrpeEliW1mOzsADXYzaGMQKAhWGMwPWYjVlYIHwng050YRLyqEUXJiGDTuTQglbcgG40g1CDbjRjKrLSfFxE7T8LlvR3FeGQQScasYZ7rwk9Ja4NA8vSHt+RizIYWzm04BacDtGymUIf2jE31vpVNIiAMWOAkSOL1554wigL0ThrCrG0CvPafUj98pFHen9blr0OfuhLxXUwY1JPUpfpPFeLIQCEdBroOOspZNCp+a4YgTWcrXvcc6umBpkMAnsGLAvI5+Xv/u538dbFj7o6/vXe3pKtMTqoEmIaEE7wcm9WGujADCCwuVjOdXtzacZK1GAYzViJHFq4+bRhHvrR4LlGqMEizBK+4yJK/7VhHgYw0nNtACPRhnnKd98X2GuvSK/Pxxyk0Oe5VhEERQkWSdOxxZsDNghpdKEDZxU2Ud15tUPgkEOK/3/yk0avtmMuf/y1Mxc0xwI3rxTQ/oP31C8fdJBWGYEy2+0ygrCgQ4ylRgO34DRQ3Uh0dQGZT5dxTwkL0fexLKC2trR18aO+nn99xIjS1kMFHbZZJaRyiiYrUkfs299WPiN3OpkXOh/kGSJEEcdE6b+KDUrNptZWou9+t/ibyHv/Ix9Jruxx4yLnUXH6S1dcQfSb3yRejunY0nleqoBe7n6NO82aZY/1TZvs3yNGBMe+RsqihdK7b/OOPxbbFDpejK8oz1hOO3pROsYzfr9Szz9vXz/ggOIzAsisJi0MBcaCP6Wxkqi+3s7sjjvsixFFk570gQ94Kxyzsj69+y7/u69a5b3Owr3W10f0jW8kN0ZzOf71iRMVBEE8QFU0GR8y6MQ0LCmwkGsxhGlYEgsLOTQ+9SngoouEt11RYpAbZqMWw2jDLwIn/EGMQi92LYgfW3EDcmiRcq9UIsYMOtGBs5BGFyzkA9wDGSqSG+nHRz8KjB9fnrI3boycBU8UXVZ873sl4YiZji3R9RrkkUNLYc71Ylf4510/GnZcLq4rmhw5Uv6cABl0ouvh18Tjz2AseMZyF2yRXJSxpPFuJgPkBVupvcXK8+hBU+zj3cORrXsLuRxzMwHRJBe65Vx9dXx18UMkmizXei1AlRBzIRk0rm4Iq2d1C04vr7ihpgZoaxPeFotRAIAwGv3o1tDRcjeQdsyFBb68n92gRCKZsJs9T9xQh63YjIbKEfuodJqISleXHQGWJV7cY0IOLdiMBsAnPqrDVqFYljcWAWAYI9CKGzAH8yVzrsw6pUmirs6W0Rnqh2mjFLo8EcsQHwzV+TahJ9Y2BvR5V9WgtRVeYixOyESTOu8m+X1FoskqIbb9gUfUlP2EqyAcu5GWvYzNGKddVDfSmIos6rAV/o0LIEzG/YVy/Qr9LkctLPzctEa8BwsWl2tXNhBVlOLnDoEE+1PGuZIp67tj0eaMe9GPBvRigrTciuLixo25c4t6Vq+8AvzpT2bvb+fzh0+kqw9gdXVkHyq39qG5Gcg9Fp1Y5+5X/dJzezREIcSSRpUjtuOgYq0mOQNdJZL0ZQKdxQKwQKjBAFKcfC1cj9loxkouRyAOgpXlpo1BX0DBumxE8Te+UfxfppSa5IJUbmXYJJDwKVnGLXaV9WWcXZEYSoaKMIAoFfbfH5g8Ob78oo6FEhAEfvUVnXW1ocGuWuFQ2Q20dhxWPFSG5KQL9yv3HBB3f1Q5YpFRJcQ0UJF6SoIBLBdJcjNCLYYK3KZ6bAtTGXSjWcgRiJNgrSiimO1/mSgtSdFkpVn/xIGEF2fVWOlGU4CzOwU5TMBqqb5kAzaBxzEeg43aOpFVhEAcY8Wfh2GefvWVYhJj61ZgYMCnSzgwIvKhUukSJO71KCpHrEqIVQkxHQhNrMt5wq2p8Qxg9wQvFkmKJ98wbK7KGPThDNxQEAPqcctY8CcUT4fM1rQbhGWo51WRRDGQuE6TEFEWsTBci1K0M2FCTDVWapHnHGZscXgrbsBk3M9dD0ZhG3gc40asrRJhKsi+N3vvV78yH7clcoVidgAGhof516MeKoVuPNoFL0RFVI5YkqiKJnccRLH6SwzMZsXqZomIoUasESrbu6LHbjTjFpyOdsxFHrVIoztExbzEG0uweutZ45we1XperJhoDcYHymD11EqKSuCIRcn7wx82f6ehAdh11/Bl6iLBBVqkdA/Y43VYsiz2owFLcQJ3PViLRu47O6ySfjlw/vnAEUdEysLEx1tu/eTis81ihfcw31ikVRD2UOm2ayqyGI1+W5/Wgu0otgNFp66VJJo0eS4MRITYTjslV2YIVAkxTVSciT9DiKlOYyn0YT7mYAYWSogxG6y+lchisQEbIeKWNWKNkGCV1VOk5+U3AOjDOPC4DktxgrRdiYBdQCpBMbUU2LQJWL062TIS5oixBysg7+j1FMdrWrER9qCJux5ULLd2e4AuRwwIHj4MxsosLMBUZIMGRX8cHXg2hxa0vnNp8dluCK0PVd/Yv+6mUnZefmewqfqhoqTF4JDlXyd7sSu2IIXbbkPRjYdGHqGcEIdxX+HeS3rdFIkmm5uTLdcQVULMhWJAVJynbKa+4tOY1+P3QpyD2zCFET3y4bq14HECz8SNINSCx3lzCT4Rwao6NfLu67L8y8512I6V5itybCckAmW5BgCQxRQMoQ7EjFcZxwwQb7oVqcKgwvnn6z97yinJ1cMEplxgRnKwCLMCIar60YC2X4wJvNaGeegnL4Emsj5sx1zHqjyIemzDDCwsrqMOh2rhQvtvOo0i56r16VCHfKFlv6alZGiL98svB8aO5d/TdelTah2xP/wBOPHE5MoMAx2vr6IE4CQAywDkAXzCd+8nAF4HsALAV5jrxzrXXgfwY92yEvesLwlcW5Ge9X/7W7veCB9Uu7aWf6sWg8J3RGXVYlDZH6J3ZfWVefQ3aWsi6aST7L/XXkt06aXF6853KSTWO3fcaeTI8O+ed164se1vX9xpaIho8eLY882iheqx1Xc5T41YHWhvWA/5sUQpSLp/2dTfr//s0Ud7f7ue9UUwqYff+70oLyI7QDf7bDot7kciohdeIIJ8/bEsXwDoF17QC0jO1M8eL8HnG7Fa3jYWrGf99nbt/jOq6513Bh4Mu4dIv3dvb/Db+Z8dGCB6++3C79ijfLz+urzOCQMl8qz/EoBvAniEvWhZ1oEAvgPgIw7htdCyrFrLsmoBXAfgOAAHAmhxni0/iIS3KtqPmGWFPomLlEVlOjIizlMeNcqTnF0fUT8Tt746Yp2K4DrIOGKSsVVuVOzYTuCUPAfzA65PXCX8Kcg51sM2VxAA1mAissgY6YZWnApDnOjxzcU4x3WDmaK7Ed6zY03KuOZNewYlBKYByUU6gqLrPOQea7K503d2ovlXszELC7S41VGDp4v6phvp8JzyEJancfuhxKhR4d8tISIRYkT0MhGt4Nz6GoA7iGgbEa2Ezf063EmvE9G/iWgAwB3OsxWNinKZ4MId5EShjQnSacF1iaf88ejlvqNDMGXQiUas4d5rxBpufUV6arZj1zIbTugq65viwgvjy0uBihzbQCKEmNzhqoU8auE3HikbYRXXBhJRsb0kOOUUs+D1pgTgkO2AV7RGWcijfe7mwPV2zEXK2uK5JrM+VIXAsn+I14lczvYjViBE1u+E6zFbizCJaikpiwwQmigy9COWyKFwzz3Dv1tCJKUjtieAVczvN51rouuVicsuA1BGlwktkkHvG+RhNoz2diA12qdEKrBydCfjRowN+Boz4UjNxxwu924+5nCf5xGZSzAdazCxsrgOcVpNltCipyIVzH2uWTwokS6ecgO4/nqgUZ/TYYwtW9TPqLDXXrYikgxRCN64iOWjj472vqoeRx0FAJiM+wO6sRbymIGFyHx7IJBnBp3o2OMirw5Xh1jxvR1zA8r3gB0CazqW2ESMZPy2tdl+xHwV8fwSjUvuYVxUV7e/GHaZSi9SVrYQhlaTxofCb31Lvy4VDiUhZlnW/1qW9RInyThZvC9Akuuislsty3rGsqxn3nPYyyWFM6vKpoR7yCHA8uX8ezEsgpkM0PGLXiMrx0GMwlhsDO3KI7Bg1L9TflcgYcF+g1NPLU8dPvMZ+2+Ykx9R5SqYi8a3s6mGgYgbKwJ3A5g6NXT5JceqVcDHP55c/qoDxrHHJlOu6RiorS04XGW1cVwibCHOEb6a2XkpurqAfF5tfZhBJzo6+GeyAYzEHMyXEmJ+ya/wOQFhEjiMqywld97Z8y67Lou2ZSNOuaEfMeNDoWmQ+b/+NUFnatGgJMSI6ItEdBAn3SN57U0AezO/9wLwtuS6qOwOIvoEEX1i16R9F/EGzTHHANdcU14/Ygmb92a+3m9s5bgWjdrcN55FnmfBOPRbyvdj1xuIC+y3cUVJUbgkxxxj/zVxWDlxor0hugSZi/vv17KIq0gfeYBYgTGCCHg+5ggt23jwbwA5tKD57qvtsdyWQW7g26Hrsl3ClLN7333A0qXx1+PTnzZ73rK4h0pCTexubzIZm2jjoRcTpONXV58rKW41uy6LfEgalW3IETM+FIo6WoRPf9qOiVqBSEo0eS+A71iWNdKyrEkAPgTgKQBPA/iQZVmTLMuqh63Qf29CdYgOywLm2CKzilPCLYHfqqhiqziIKKXewEMPaecVC554Qn4/igLz1Kn2+wccoP+OSAfo+ONtL+QaqLixDQDbBKG2IogmM+jEEkwv+A+zMAzRyd+/ARTG8uZGeyyvHYvWTb+ujANBpWLEiGSUpU3XvpoatdgrqlNSXUjGb3u77UfMC+/4LBW3OhZOuSFHzPhQKCLEPve58PUpEyIRYpZlfcOyrDcBHAngT5Zl/T8AIKJlAO4EsBzAgwBmE9EwEQ0B+B6A/wfgZQB3Os+WH2ecEbxWCR8u6Tr48mc5WJvREEkfTEv5UtE+5QL6pS9p1SU2fPKT8eV1xx3R3p80Cfje9+z/S2WZuf/+pSlHRIhFNIpwiU5CLfIYUbCK5Dl2ZTcA/lhOxW9detBB8eZXblTIGlpKXUgRU7wRa6TjN5MBOs5+pkiI7LQeM3Ed0uPWlZxbHQunXPDtczkUpSSTLOT+WCTWjQ6F48cD++0XNPT461/161ghiGo1eTcR7UVEI4loNyL6CnOvnYj2JaL9iegB5vpSItrPuVc5AtsLLgAOPdR7rRIWERESqBvPOzOBQlsoxmGRV5HK5C5434B3TUQk7bNPtPI/9CGP9SwA4Cc/Af7yl2j5lhgB8XUOZoTY3nsHr2mCJcz8jl1Z6IzlWBzjsuPn9dfN3zfBBReY69kkAdNDhOnaJ3LxM5pxmRPjejp/fjCyTh222gZJioNE5jOrbELkWyej64LrsBDnoOt7VybDrVb0e2ROOadPczk7okBBStJjofW8seHmyi67ACtWAN/4Ruj6VAqqnvVdWFaQbVwJH65ULHOIlfPHoC/UZNQiohSLQcUqk4tgsqn4v6HphuRY9QIosuk//nHg8583y8cEMXPeuOLrViD31Af5L/A2sp4e4B//iLVefqjGsq4YXkmssWNi331jbUMAV1xhto6E+fZh1qkQOmCq+wUOTxrFQ+W124TrWe5PO9vf6aV/orlZHGOSh0wGWLKE8Zhf/w6WYLpdlkq07j9YJQGXq53kOgFwv0tbmx2dgEX/Fsucs/zDH5q7+amE/VyAKiHGwv+hyv3hSlx+3D6l4iCivAsoVY4yuR+63+pTnyr+H1bMNtoJu9LcXLzmEmJJb6wxgyvy6wfaHv4c/wVRn/l15Uz07DTAH8v9hbEsEsPPwfzC74oyPAmztiQUdiqAhx+W3w/BEQMcDk8XkB/VYB8qT+EbhORyQOule2nFmBQhk7GtLG+7zf49FVmb8N6mcLlQijX/v/4LePNNYPbsZMvhtEVkGWq8x/zoR8V1MEJ9KgVVQqySIdsoExhUcYsB47LIKyygM2ahHXPRhnleMdb2iqjfkH3fHStJb5YxE29C4n/Dztzr2u2bF6/uludA4PqU2un8wlgWtaMXEwqEVkVFMQhj9FCqjSxuBX8dqQLzf1sb0L/VF49SEGMS8Ok8NRcJtoIYbmD3IuG96dd6a5YbkMcP9iAXBXvuWXL9Y0BsGSrcY047TZ13BRNYuqgSYjJUwgdOmmvBtNH2JO3lG6s4WCJRiz+48m2YElnHIffaYXwxVqVbrrHfMI4xxSO6TDli774bvR4xQEj8j13Hf8HQJD5OFA4Erk+p1P8U7sk8k7uEVimiGHjmY7OEizPC7zhUA0mthyE5XNrvG+Yv5Npwrgd0nhjuGVcMh5Q8ELeqrrvtJr9fSeC0pb0dAae3Hl09jTwC11V75N13A1deKX+mzKgSYiz85rDlJsRk5Se00XTs/ENtDpZI1DILCxIRwbQ9+y2+GKtccRGj6syE1RFzn+MtRrrjIuyCHvO4E4ZmOexu/gs81+U8lGLu+g4xIlcY3Q6hpcVxjlDvwHx0iQLevAvDEUtKR6yEh02dZ4RcG851LrHlcM9MCLoARH1SCcYVunD79KWXbOfCcCxDO+DlLF/TJz6gxzGPv/514L//O3o+CaJKiLF4+mnv7zCD4JZbgD//2XstiosF0YRMaKPJNNyjbSkjErV0YEYiIpieDeP418sdF5EF73tF/YYzZvDzYzlig4P2X7+5VtyIedMUhmbZ98ngww88AOy+u17Gut4xY4IsjqoFmxjS0pmMMK+F+na8ecdyxM45x1Z+VmGCLFZnCeHvo9/+Np58HNj+vAY910RxG2XElglBJ60Te23WLMnLCWLGDODMM83ecev9kY94XEy4+nMFzvJJg9zXPXnIrvOe+de/bAJwO0GVEJMhzKI4cSLwhS94ryUReLfc3DqICaBh8E/bUQmmpiZ+m0vmykLkKBAI9z10RSz77ef9HSMhFovLhYjghmZpbwdmzvTG3Tz2WL1+XrYMOPhgYOzYxOoMIKCvNh9zArEMAduDexvm6elM+gndww7Tro6R6LO1tfj/b34DXH65uoA5/HiwUpRgncr954vhxrDgUJHJAB1THil+J0mMSRmxxRXDWf16UXZEOmKjRpVHPHnIIcAHBZbMIiSpRqB656CDbAJwO0GVEJMhrkWkAoimJCAigGrBt0aKSjC1t4MvxiqVKwv/whiGO8SGHdIVTZ5xBj/ALfu+S6z5F+mLLhJWJffKIeYi5FJZWu66qx2wOoxux4EH2n+POy7eOimQQacwcK5LDCl9M/nHxMMPA488olW+trHN1q16hJcfSXNbdcH0UQ4tXh2tsGoQIdUEuMSWwz3ziuEci+90uzwGJOu+wg3zxYqRy7WXWJbUr53HYMElhuMgxHQ4YjsAqoSYDHFR6kkMmqSIRIONViRqacWiRHx/ZTLgi7EqzZWFDF/7WvF/3W84bhxw113F3zyO2FVXAf/7v8DHPqZdlbbHjzcXIZfa5YVfHGIy7iOEQ9ICpy7pqJbH/jx32knb275Q384/70aOjGdtqxT3JwGF+Aa01WkQ8II+yOWA1uxntdxXFIgtAfesIIYbBrqu+iMyjylEi2ydXJ1ldhyXq8+JgBtv5N4KGCy4xHBnDHvUDkZwiVAlxEyxeLH8Pm/gRHEpUOqJRwQ8/3wwlA+HHS4StSzEOfpuKwwDt3LFWH6EsQgLAzcQPSs+4yFuPT8eITZqVDFouGYZPZt24V+vJJ27KPjxjyN53VeCZxWWhANizTXAMx9dRejt7aCiA6bfheLYwQ+o8xH0a1sb0D/o5f7J3FdkMiiuSV18ESYsCzjvPNtthA5Yjph//zDRQ40TX/4y9zLfOrQBbW0lEk3uAMRalRCTgfeBVRMpTo6Y7L3nnjPOjhtKhoeDDy6Kd1w8+ih3sotELdrhMUShbKJgcFBbnGMEf/vnzrV3ulNPFT+TJHTGlURPSuQiQsq9MSScy4qPflTTRC0+xOU7zwODMVWYd64itEwMZoowB0rRGH3qKfO8OBxOoTi2ztA9C0vcRbF2jAoVR6ycRMcpp3Avd3fzHxddDyCMaJIVk1cAZzYqqoSYDHERVVEmj2iQPfGEUTbCUDJ3C7wT+8tNagEYGkomX9P6nn22eRkjRwJnnWVvUKUU9Zg4b/3e94Bf/Yp7q/1T95tzbyqNEHv00dKUc+yxwEMPaT0aOUafH5Wy0cS5Bhx2WNAC8He/A376U/7znZ3A8uWBerRjblBHC31on3iNug6C9oSydowbMo7YffeVsCIMBONQpAGQqGZAqaQeJUKVEJMhDCEWt2hShGG+QrwIQtP2ywVitVIt/ul0OMXhuBHmG40fn1yZvb3ieyaEWH2910CAQebDz5lzb8pBiN18M/DMM/x7pnEJefjMZ8QevF0ceWTQDU0ScyQssbN6tZ4LilLDxI/YySd746ey+M53gtbDcDiQfoV4nIXMLg+Ermd7u+1klIXIfUXcyP1tT1tqcf89aL6hzVZ6Z9VCLAs4/PD4C95jj9CvirYi7S2KHSM/+pHeO+zaVxVN7uCoZGV9ww1RqEvxdq1XZPnuE7bIMqZNRivIcdgNxNSvTVTI+sR1tPjZz+rnJwvlokPkxTCujLk35eDOTJsGHHqo/X8Sc+mRR8KZug9K/B+FBa99On2+667bXXir0PD1UUEh/t/dsXAgMxmg4zdbtNxXxIlcDmi97mNFqcX6ndBafytyI5hDguIbaEdW8MNkXp1+uudnOs1/THRdCt31cwcgvlhUCTEZKlk0acgRE+lSjN8p7xVZ5ve2RZb/9vk+C9EGrSDHqsX96qtLw4qPusmkUrb/qttv18+7uRm49VbgxBPNyjrySPtvORYjkwOAhhfwSvBjFhpJEGI8VAoBlFQ94hrHMYYSy5w8ZB9QxuwUv66dAG1tQP82r8itf2AE2n7K2aZdOelPfwosWQJAEllBhxgz6S/fs1wXHujT5yDuYERVGFQJMRniEk1WAEdMZNoOC3yR5fMnRa1hPEGOzz0XOOGEyHVRIo5N5sAD9UPwuJg6FWhsNHtn6VJbVJc0B4QH3X7q7wdefFH6iJBQl20cSS3aYfJlnaImiXIQYiNHAgccUJqyTNsn+lYa+eRyQPPWV2zCf/+RRcLfnyfrz6tE0DIScOvlKmCdfjrw3e8CkKifyGJb+vMNgUDYIlc8rEu87mAWkGFQJcRkKDchZlniheD73zfKShRKZu16/hDo6TMkDnh56Hj6FrVv5Urg2WflBbjiKh6iLu68sClhF2WeW4ko2GkneduThO4BYPRoWz9NAiGhrrNxVAKSOCDw1ooJE2wuKGudmzRmzgweKpKKNRkXNMR2tr+rtE34r6oROn/N/b7O5tT2bTQT8UWAkZEAp63C9VYYj575NjqHOkn/esIWxWGg8j5DlRCLG6VS1p80yfgVng+upj0EXvBTvrh5IRZULU/fMrHdIYeIM3/55XCWjrpobQ2KGcNsRDfdBFx7rfyZ7ekUaMKJVbTLeOPQyDM0whyw/L72kkJtLfD3vwNf+Yr8ubi5N3FEkkgKO+8cvKaon9D5K+Z5vfXngNbvjQwn4osAmZf+AkScO0jWW5G1Z1hRbtxzcHta/xJClRCToZJ1xGJC+4838r1xf+zO6HnzxKGjyXaPEFWs8+EPh/M/IwKvn085BViwIHyeALDvvkrO0HYFk/Go6C/jjaOc4IWY8h2wlPpub70VrQ7+vk/SPwAv1mGYEEdxzlEWH/5w8JrikKAbi7OtDejf4q2btogvAgIiPkMjAWFkBR1dralTzSscF6ISYpV0QAiJKiEmQ7lFkyXwlZL55lavyLJmlT35mx+PnrdfHJoGOm6wkKHbga9+1fuwqZ6UCnFMzpoa2w9XnHmaoFJi+7FwNzsd9oBi3LdjLlLWFs81IyXfOOGv669/bRtfuPA7OPa9o2WYssceWgYM2pg5U1ifWOCO94cestOYMfHmHwUq61LOfd1YnOV06OoR8XWZGQkU1tvRq80JOZX7Fv/ad/XV0ji2VZihSojJUG4/YiVSBvaILHc9zJ64YRy6Tpggz7uLWRT8yrCl1H/hQYfISpoQ8+e/Zg2wdm28ZXz1q8CiReHfZ7/XddfJn1WMmQw60XHVRq/e4tRH9YIiJ42mJpv4euYZO/i4AtqGKWHWD9G9JEWHLEds111tH2qVJEIK4eZD6PwVc70ivkpw6BoSGXSi6wvTzQi5ffcFdt9d/Rzbv+eeC1x8ccha+hB1XLHv3xldklMOVAkxGfwDJExYDl4+uhg5sjj4Gxrkz8YFt7wwi/rXv66vQ1RJi7ouSq2fNG4csAs/HmRo3HNPNN26mB26Zn6wW5FQv+L3yNx6bKz5a0Oke3PooUHOEwdSsdduu+lzwmRjrJQ6W0TAJz5h/++OwUoSAYWIt+h1/upwjDgOjLV0tcqNOL4FO9ZU0pdKsGzU8Rt5UnRr/3KgSojJ4B9whx1WPvcV++zj/e2fiPvtF69PprATPQ7drFLi29/Wf7bSrcZMEaY9MSrrA447AXfMzmtNRiH6C18wf8fwu0nFXqtWAZs26WW07776hSY9d667Dnj66ZCeOR2U8vDCjk1BuQHRH8e6L6quVqJIqj9VhBiRzQU/6STg0kvjLVu3TdOm8a+Xew+JAVVCTIZy64gB2oMsN3SyWkclSnn+Ntx5J/C3v5nlLcuvXEg0INoOiBgJsaI7pbiEnQAAIABJREFUAcaTeBLWaXffrQ4CL7FG0wFXUdoVe9XVFfX9/AcqwOa4uQSYTCNcJZqMGyNHFrli2wOi9Ievb010tTyHiebSuLqIZf1k+0u0Dn7848X/GxrsdV9HjGkC3bY0N/Ova3CsKx1VQswUpSDEVqwAnnzSKI+2N2eFc56q6xzR/9xJJwGf+pQ8bxMkvamIXGGY6O+FqeMOcFrzIEaryTb8IuhOQGWdFkZvctw4O54kawGrgqFeZwad6JjxPNI7b4An5qGf43LDDfKMZJyJUosm43imgvyISRGynrkcvIeJpF1duNaicX57WdtdNyGVcHAWhX1z42RWkjGJIaqEmAxxDT5TZf399jMO7NozsBv/ukB3RQn/ROdtEHGfypKEq2O3zz62DzKXQ+GeBE3q8fbbwLvvxlu/7QWx+hHbm39dZp3G4yjFgTDGKT5kpo9E17qdkL9vadGp5axZ3ofi3Cx2NCI/KspAiLW1wfwwEQWjR3t/x3Hwl/Wb36gqCejqn4nuVQKRGBFVQozFYYd5f1eCaFITTSPe4V8X6K4I4VfWnz/f9jK/557BZ6M4qi3FBGfh6rlccol9qnQJijCE2O672wrYOtgBFgkPxo7Vf1blR8x6k39ddXZ47DH9OoRFlO/mvnvccWrL0igoN0dMBzKnzFHKCqkjZpSfBsrp6iIy/G3u7wdaWuTPlKIeps/tAAeSKiHGwi+DrgRCTHOQtQ9dINZRiVLuHnuIxUESvRql4UCpCZQxY+w2TZli/3bbZ6IjVmr3FUkjTHmPM/7lIn7D9tTPw1mnHXVUuAJl7Y2BI6b1TpLjvhI3pLo64Lzz4s+XdzD8/+3de5QdRZ0H8O9vQkgyJJOQkPDIYyYbAklQIJKEh4AYnhvkJSjoKIvCjrgg4MqiYVxQZHwAq3JY2bMRXHG9EHABRUCXhyjoBjAS0ITwiOZBCKxxBUFCgCS1f1Q3c+dO9+1XdVd13+/nnDkz07dvd1U/f11VXVWf/xhdjgyQcr+UuauLQUaMcPvBMUvXL45jIFYvzsU4zc42McRRnD6ZGseSDGqjEqWxRCxFflMN5py3xn3rPz0nyZ+LN7oivfYaMH16//9R2yPqmB31Y/122qg/62N2zF+q/3aayfUWVV2U1Zcj2qmm4df97bln/7T67XHggcmWlzK/TnZ1keW4aGx6kGZZV1+d/mGpmah9VOLrMwOxZkpUIgYEjCUZJwjz0vZ2Cdb//VG/+fPcIQM+D/WDHwxqEJFoMGfbJ0+SqskSP3Hh8suBn/1s0OREXZ403nGiRG2vIUP022l/36eP2d5vuxGEAWYenoKOKZPXhzJUTQL67UvT/Tv5bTzrt52FNmLWurowsX/i9MWWZj3nnZes+UDccy1svjJflz35j6FTZkl28NChwFtvmQ/E/EAhxw5d/RIsP3hauxboWf9JAL9Gd1TaTzllUO/vsQZzLvpV/DB5vzUZRxEXkoAouPb0fujBKf373Su5BIL7V0qsMV+zZwPLlul6m3Xr+j8v6kK6zz79f8+YATz1VPi8JtqIBYnbPUwcth9iXJOls+EMgXd3tyOluCaE1RzkKWsbsQpgiVi9LFWTfmmB6UDsne8EvvSlXIduCCzB2jpcd32RIu2JBnO2fTPxL8AuDnGUs94lx6Xr8sSXtHR49mx9LC9ePPDzovJ96KF6cON/+ifg4YcHfmaijVgWeXaN8thjwO9/n396msnrJab6dE6dmn45VbrJZwlsTFRN5oWN9Vvcb36jf4Dwg6HZUDRxT4zbbwceeGDwdz//+eDGqWndfz+wvv+NtabDs8RJe8OJENq5ZX27iaJvwmGSBGJVulgDWPdq8DEbu8uTNPvu85/v7xDSxvb83veAK66IXnea7kniHNP167388uafR4m7/WfPzq/bD1uCtlPAWLeZlueSsKpdi01hCuf6PsqAgVgz/o5/17v6X8NuPBiOOw544glg9Ojgz4H4xd577AEcdliqpCa60I4aNSCwazo8i98WI4FBLw7s9NrgwZxdKXFYuFAP3RGnd+YsxfQ/+AFw1VXpv5+DKaNeCp6etMuTMI372G/on+FFEGOiqsZzqpKp3TW6v03etRfpNnlnnBFvW/hDNflj7oUd02k6vW1URIkYxbd4MfDmm/HmNdlYv4iqybj8Y6hxtIcKHFsMxOqlqZ4YMQLYe+/m7V3iHihZGgjvt1+674kEl2C1bdZdX8QdrLjBgBcHNu5gbzDnKOPG6W6wOzqi5926Nfny/X1/yinAZz6T/Ps56jvozsH7vR3BXZ6cfHLzhe27L3DwwQOn1R/3996rqwSB8EAsyQX10Ud1cJuXLOfiYYfpoOlf/mXA5FoN6PnCxP63iTcMRU/7jag9Mzd4OY0mT9bbzn8jTSlgxYrBnVZVrfQriMslN3loa4v/UJxl2xQ5ekMajzwC3HOP7VQYx0Cs3iWXDBx0N0lQZSIqz3Lx33//+PM29M48qASrE1j0vh/pBtuTJqVPUxx5nei77KJ/+0N0hK0nyTaP+0Raz7ULWZ3umcsG7/dFAQ31164Fbr65+cJ23hl46KGB0+qfpo84YvAbqkmqhRvNnTt4wPbrrgOWLIn3/RhvdKbW3q6r/2fNGjC5txfYtHng8ZaqF/b6tM+apQM001giVn1x3pp0qUQM0CPONDYDcvgaGxffmqy3zz7AqlW688/XXgueJyoQaxa8ffzj+iKtVHCP21ku/hdcoG+YzcbTu+gincd3vGPQR924Sd+Ax40D1vwJ2HIy8OyTA/vpMSnvtyanTweefFK3uTvnnPjpaMYP6qpCpH+/A8Aabx98pGG+sN4po7bdG28ET8+ravLMM+PPG3X85dCha9Ne2KcFf9Z0Pa6XXuSp1QO7uO0QkwprrF/UsdWi+5UlYs2kqWYMO2A3b9YD/l5zTfgTbJYSsba2wABrgI4O3R6qGT9/220HzJwZb91Zbqx5nuAzZ0YHt3G2uV89+53vZE9TkDJ0Hhqkft8F7cdddtHtmR57LPh7LrURS/p5CsZ6YY96KaBsN7NWCiBNy9IUJmg+F0vEnn66eTOEsh3vARiImRJ1cRw2bPBN/7DD9I9fjZZ17MaoA3LChPTLT6NZW5Us1VJJxL3hxnnCHDfO/Ppt8vfBpz4FPP54tmUFbb+2Nv3wMXv2wOlhoxrY3FaN6TfRoWuDvj6gffjAG9ugXtiTvL3LAIZMHwNhJWI2z8099hjcDKFiGIglFdW7b5zetP155s3TVWd+qU0OF38AwLHH6rduklTdmPDEE+HdAPjbpKgnriylB1W94fl5nzhxYGenaZgYuLnI7ZxnG7EQ3d3Aoi9uGNwmL2lnoGUMxPK6kZdpGxQlj8b63M65YiCW1HYhzeqytCnxg5GsF/+wQG7KFODUU4M/z/NJZ+RI3Yg7iCslYraWFaToi13WG3ra7eHCU3YeVZMxvtP9vlf028Qz9sKaNRl7ZLc9xFGa9X/zmwP6MKSMTJ9Drdzu0CIGYkGaHXxRgVjc8eXq+YFYXiViSRR14vl5tdUGIU23HHkFDrYCEr8bhLRdn6Q9VlyomoxaV17noom3rrME0Cn6BTTCT/NOO5ntnDrrMZOlN36b8rpOh/Uj5nITiwpw4M7vsKCDL24gdu+9uuPUII0nkd8/lQvjHhY1cG5jaWDRT17LlgW/uRqkqk+Fxx8PbNgAHHlk9mUl2Ub+vveDYRe2bwFtxAD0D4VmYjiepNvt178GVq+ON6/pfeIX/dV3s+PCzf3hh4H/+R/bqXCHv9+PP17/9o/Tos9Rv9ukD36w2PVawu4rgrz3vcBddwUHXY3TwopyjzhC97p/442Dl9FYNZN31WQSRb+mbOsmPHNm/LdCfS7cOEzzhxvKyt+Py5cDr7/efN4ZM4CLL+7vId5Fee3rzk49lFnaETSA8Gr9qHOpsUfyZt75zmRpirJggRsBd6MJE4p/icmEvNvcnXkm8KMfmRmlIY7FiwfWUsyYATz3XDHrdgBLxILccovusTqo+iosWGp2YkRVR3zE67hphx2C54sry8lZdOP5oqsmo24CLt4kXFd/vPnbb6+9om/4IvpVwalTUasBXdf/sx7y5/KzUKvll9xBabDlxBOz9UmX90PM0qXN+95zSauet3n3I9b4UJ/3+XLqqfq8aFEMxIK0tw/qFfttUUFV/Qny8Y/r335bnEb+vF//OvDKK8Dw4cnTmlVjR7RVKxEzcQHJ0ri8iqVohtRq+oF77atj9ZA/L3WgpwfFBWPNlGFf53Xu7LdfvD6myD7Tx1xYmzCXO3QdOVIHcnfdZT49BWEgllRUIFZfwnP44foA7uoaOK/fJswvXRsyJLw9mYm0xeGnJawNnGmN1StZTnS/H7a8udZhrW1RHbpG6O3VQ/zUSzXkjwkmetbPIx1BjjpKPyheemnw560U/LdSXuNKei4Gncf+9bno7bvXXvr3GWfE/46Irto89NBcklQEthGzwVSbsEZhJ02cE3PkSN2xZ5rGkWmCDZNVk089pYekMvk2Vp6uvBI45JDB06sctAVoOuRP3sp8Ax8zRjedKFqZtxnF01j6X/Q1abfdWu46CDAQSy7sYpSkX6y8uqvI2kbsi18sbv3Tp+vfJoo/Ro/WP82Y6OTQ1I3owgvNLMe2jNtjyhQ9PGrQ9MK5cvHPsk0XLgSefx74xCfMpcd1ruy3Mgtq6+lCV0othFs7qSRtxMKk6a4CKL5n/DyNGqW31ckn57se2x26lr0U4eij482X4obY19ffm4Nv0JA/ttja11kCi7Fj9VvaHR3Z0+G6sp9XWeXdj5itqskWxUAsqbSDftdrbCMW13XXAe95T/jnZQ4UTjop+zJuuw348Y+DP3P5rUlX9kGjF18EfvjD8M8zthHr7tZD/HR26k2QesifNPLoWX/EiHRpSbs+20x1+8BSrfSyDPodxHbVZIti1aQpaarl/N+m1lPGi7nvqKP0SZ8lDyaCOcBM7+dpuHbRCxueKkjKtHd3FxR45e2mm/TgxGm5tu+bOfxw+zuuTNvLdc0a61MhGIglZaJq8mMfA/bcEzjooOTrX7QIuOSS4C4xXH7Ti6qnzIF/o6xvTZ52mrm0uE5EX8PITXGvx0HHOKsmrWAgllRY/ypJAjGR8L7Fokyfrp++KZ64F5Jm86VprP/udwO/+lX8+ZMu3zVlC8ZNbesvf3lwHxxplGHfm97HJjqgpvSC9mdjP2Lbb69/m37DnwZgIJaUiTZiecnSfUWrq99GrJpM7itfsZ0COxYutJ2C4pk6D8p8vNtmcts1e2vy8sv1CDOnn25ufTQIK4JNcaFxo5+GHXdM/p2q40U/P2efDRx8sO1UJJNHY/1WwXPJbSYa6/uB2OjRwFVX9ZeMUS4YiCXVeJBPmzZwugsXqSRpcCG9ebI1xFHVt2vVuNKzvstMbxNuY2NqNaALq/WYrfddl2yYsPpjP2yII8oVqyaT8g/QUaP0sApHHjlwugvSvPFiIv0mltHRocfdLFrctn15cOnYIaLyEHl7zNZN6AIArH19Anp69MdNX2xtNp4o35osFAOxpOoP3gUL+v/2xzvM0peQKfPn606ZRo7M3lt+0datAzZvtpsGV4JSyo+tQY2juJIOKo1mY7Ym7mHE9CgiFAvD3rQaD9RrrwW+/e10XVKYNmSIrtdPMhi2KzeA0aOT9V8VV1T+4lx4bF+cTjoJOOEEu2loFbb3NVEzV1yhr/M77ZR+zNagayJLxKzg1k4q7ALd0QGcdZabF3BXgiwb4u4P09sozfKivnPbbc17ujfljjuAJUui5/vwh3XnnhdfnH+aipbkhReionV3A1u2AMOGhY7NGnvM1vprZF7jIFNT3NpJudQoP4rf90ucPmBMvGnjsiRpbBzxIEtxfRlK2hoddxxwwAHR840eDdx3HzB5cv5pMi1sm194IXDnncDcuW6kxyV5nedZlluGa0/OjI7Zysb6VrCNWBX5F6ePfhR44gngssvspqdsHnggeHpeFyfeTOzz98Hw4cCxx9pNi+t4k3aK3w6s95yXse4vHZgy+hX0fWtM/PZhHOLIOm7ttFy8GDWmafhw4F//FRg7Nvw7eQQBxxxjfplFmTUrWds6qhYXz2sKx/0FQAdjaz59NbZhCNac/414QVicIY6oECwRqxLbJSv+iX3HHfbffPTZ6kcsCd5M7LN97pSJqW3F4949fGvSCgZiVZTkJMrjhBs6VP9UDS9O1MpMH/8mAjoG0OnxrUlncGtXUdEXp/3317+POqrY9SaRZZucfba5dBA1w8AiHj4UmcO3Jq3j1q6SNBcnExf+OXN0D4Jl7uOq2Xb41reA11/Pf4gj3oTt4w2+ONzWZqW9fgQ11ue+KRQDMdKynngujChgQtB2aGvTLz5QdbkSBPMGGI8r+6vMOMSRM7i1qdqS3tjYELm12d5vLgcYLqbN9v5yiYltwX7ErGAgRq3BxZuIjxc9KtMx4FJaXT6vy4glYlZwayfV0QGcfjrwk5/YTgnFkfSmYeomwxsEJcHjJRmXgsGyCjrm2FjfCnZfkZQIcMMNtlNBcfmd2e62m53184ZRDgyEtMaxcorAbe8ONta3goFYFfHC1m/BAuDGG4GTT24+H7cZAfZuQC7c+F58ERg2LHo+nituSrpf2FjfGdzaVWKr+wqXiQAf+hCw/fbx5zcpyfat+r5wGbc9sPPOwJgx4Z+7ECxSbmo1oOvFh9GGreg6cFfUarZT1DpYIlYlrXIzGTIkv2W3yjYkso2BnVkZtmetBvT0AJu2TQYArH2+DT09+rPYg4dTaplKxETkAyKyQkS2icichs8WisgqEXlaRI72pk0WkQdEZKX3vfOzrJ9C2B7iKE8PPwysWWM7FfGVbfsSFYUPPc7o7dV9ctfbtElPp/xlrZpcDuD9AB6snygiswCcBmAvAMcAuFZEhgDYAuAzSqmZAA4AcI43L5lU5Qvc/vsDkyblt3wbgRODNXfY3hcun7sup41Q++070IXVaLvsC+jqQnTV4qhR+vcBB2DduuBZwqaTWZmqJpVSKwFABl+8TgCwWCn1BoDVIrIKwDyl1BIAL3jffVVEVgKYCODJLOkgTxFtxA49FNhll+TroXDTpunfEyfaTUcrsx1k2A4Ak3Aprbb3myNqNaDnx8dhE3Rb2LVrEV21OGECsGwZMGMGpvxKf6fRlCn5pJcGyqux/kQAz9X9v96b9jYR6QIwG8AjYQsRkR4RWSoiSzdu3JhDMultcS+uv/gFcPPN+abFBpsX9AsuAO65p9xjdVaFrSCDAUUyLgWDDujtBTa9NfCFpFhVi/vuCwwfjr6+wT2XtLcDfX1m00nBIgMxEblPRJYH/DS7awSdJW9faURkJIBbAVyglHolbCFKqUVKqTlKqTnjx4+PSiplwRuBZuMC39YGHHkkby7UWrIc77xeDZC1arG7G1i0COhsWwfBNnRO2opFi9hQvyiRVZNKqSNSLHc9gMl1/08CsAEARGQodBBWU0rdlmLZRPnhBZ5saMUgfMYM/Xvq1PTLaMXtFmDKlOxVi93dQPe5+wAvvwz89s/AjjuaSyA1lVfV5B0AThORYSIyFcB0AI+Kbkx2PYCVSqmv57Tu1nLzzcCXvpR9Oa1+QWv1/Lc6BuDxmdpWPT3AL38JnHii/bSUnLGqRQ76bUWmxvoichKAawCMB3CXiDyulDpaKbVCRG6BboS/BcA5SqmtInIwgI8C+J2IPO4t5mKl1N1Z0tHSPvhB2ymoBtMXdN4gyok3oHCmt40I8O53u5GWkvOrEHt7dXXklCk6CEtdtcjtW6isb03eDuD2kM/6APQ1TPslgtuPkUkMAtLL42ZD7uM5QyXX3W2gTRfHmrSCQxxVCU8e9/AGT1Xh0rHsUlqqhFWTVjAQqxJenNIzve14IaM0ynAOu3Rsu5SWKuCg31Zwa1cRL072leGGSoPx3CkXnmdmsUTMCgZiVZTk4sQLmZbXhYcXtHJw5Tzg8RIPt1O+uH0LxUCsSrKcPK1+4rlyIya7bJ8HPA7JkloN6Nr8FNqwFV17Doseq5KMyfTWJFUIbwCaqRux36nPkCFmlkfVZjsApJZWq+lu3TahEwCw9rkYY1WSMSwRq5I0wRRvAPn4/veBL3wBmDvXdkqoDMr0IORCWseM0b/nz7ebjoro7dVjU9aLNVYlGcESsVbnwkXVBaa3w667ApdeanaZlB+eB9FcemgbPx549tlkY/hQqKxjVVI2LBGrErYRI0rHf13ff2usaGU4/1wLVnffHdh+e9upqISweJZxbjEYiBEB5bgRUn78G/qbb9pNRxnwXKkcY2NVUioMxKoozZMrO/CjVjZ8uP69ZYud9V9zDTBzJjBtmp31U0vr7gYWLQI6O3Wc3dmp/2dD/WKwjViVpHlSnTAB+OxngdNPN5+eMnGt2oWKde65wB/+oM8FG+bPB5580s66iWBorEpKhYFYlaR9a/KrXzWflrJitUtrOeYY/XuHHYB//3e7aSGilsRArIoYTBBFe+mlwQ1jiIgKxkCsiljNRhTN74uKiMgittCuEpaEEVHe+KBHZBQDMSIiIiJLGIgRAXzKJ4qLJe9ERjEQI6rHmwwRERWIgRgRERGRJQzEiABg1Cj9e4897KaDiIhaCruvqCK2d0pu992Bu+8GDjnEdkqIiKiFMBCrErZvyuZv/9Z2CoiIqMWwarJKWBJGRERUKgzEqoglY0RERKXAQKyKWDJGRERUCgzEqoQlYURERKXCQIyIiIjIEgZiRERERJYwECMiIiKyhIEYERERkSUMxIiIiIgsYSBWRey+gohM43WFKBcMxKqE3VcQERGVCgOxKuETKxHlhQ96RLlgIFZFvGASERGVAgOxKmLJGBERUSkwEKsSloQRERGVCgMxIiIiIksYiBERERFZwkCMiIiise0pUS4YiBERUXxsi0pkFAMxIiKKjyVjREYxECMiomgsCSPKBQOxKuITKxERUSkwECMiIiKyhIFYFbEKgYiIqBQYiFURqyaJiIhKgYFYlbAkjIjywgc8olwwEKuQ2oOT0IXVaPvhrejqAmo12ykiospx+YFv7FjbKSBKbDvbCSAzajWg599mY5O3S9euBXp69Gfd3RYTRkRUlA0bgG3bbKeCKBGWiFVEby+w6Y2BcfWmTXo6EVFLGDYMGDHCdiqIEmGJWEWsW5dsOhFRKmVsK3b11cDee9tOBVEgBmIVMWWKro4Mmk5ElJnLbcOinHee7RQQhWLVZEX09QHt7QOntbfr6UREROQmBmIV0d0NLFoEdHbqB9fOTv0/G+oTERG5i1WTFdLdzcCLiHJSxrZhRCXAEjEiIoqvzG3FiBzEQIyIiIjIEgZiRERERJYwECMiIiKyhIEYERHFx0b7REYxECMiomhspE+UCwZiRERERJYwECMiomiskiTKBQMxIiKKj1WUREYxECMiIiKyhIEYERERkSUMxIiIiIgsYSBGREREZAkDMSIiio9vTxIZxUCMiIii8W1JolwwECMiomgsCSPKBQMxIiKKjyVjREYxECMiIiKyhIEYERERkSWZAjER+YCIrBCRbSIyp+GzhSKySkSeFpGjGz4bIiLLROTOLOsnIiIiKrOsJWLLAbwfwIP1E0VkFoDTAOwF4BgA14rIkLpZzgewMuO6iYiIiEotUyCmlFqplHo64KMTACxWSr2hlFoNYBWAeQAgIpMAHAvguizrJiIiIiq7vNqITQTwXN3/671pAPBNABcB2Ba1EBHpEZGlIrJ048aN5lNJRETJsBsLIqMiAzERuU9Elgf8nNDsawHTlIi8D8AflVK/iZM4pdQipdQcpdSc8ePHx/kKERERUWlsFzWDUuqIFMtdD2By3f+TAGwAcDyA40VkAYDhADpE5PtKqY+kWAcRERWN/YgRGZVX1eQdAE4TkWEiMhXAdACPKqUWKqUmKaW6oBvz/4xBGBEREbWqrN1XnCQi6wEcCOAuEflvAFBKrQBwC4AnAfwUwDlKqa1ZE0tERERUJZFVk80opW4HcHvIZ30A+pp89+cAfp5l/URERERlxp71iYiIiCxhIEZERERkCQMxIiIiIksYiBERUbSDDwbmzQOuvNJ2SogqJVNjfSIiahE77AA88ojtVBBVDkvEiIiIiCxhIEZERERkCQMxIiIiIksYiBERERFZwkCMiIiIyBIGYkRERESWMBAjIiIisoSBGBEREZElDMSIiIiILGEgRkRERGQJAzEiIiIiSxiIEREREVnCQIyIiIjIEgZiRERERJYwECMiIiKyhIEYERERkSUMxIiIiIgsYSBGREREZAkDMSIiIiJLGIgRERERWcJAjIiIiMgSBmJEREREljAQIyIiIrJElFK20xCLiGwEsBbATgD+ZDk5RWiFfFYtj1XLT5iq57Pq+fNVPZ9Vzx/QGnkEypvPTqXU+KiZShOI+URkqVJqju105K0V8lm1PFYtP2Gqns+q589X9XxWPX9Aa+QRqH4+WTVJREREZAkDMSIiIiJLyhiILbKdgIK0Qj6rlseq5SdM1fNZ9fz5qp7PqucPaI08AhXPZ+naiBERERFVRRlLxIiIiIgqIfdATEQmi8gDIrJSRFaIyPne9LEicq+IPOv93tGbPkNElojIGyJyYcOyPu0tY7mI3CQiw0PW+VMReVlE7myYXhORp73vf0dEhjqaz/O9NK4QkQuarPMYLz+rRORzddPP9aYpEdmponnMvC8dy8/1IvKEiPxWRP5LREYmzU8Z8ln3+TUi8teq5U9Evisiq0Xkce9nXxN5dDCfIiJ9IvKMl57zKpa/h+r24QYR+WHW/DmYx8NF5DEvj78Ukd1N5NHBfM738rlcRG4Qke1M5dMYpVSuPwB2BfAu7+9RAJ4BMAvAFQA+503/HICveX9PADAXQB+AC+uWMxHAagAjvP9vAXBGyDoPB3AcgDsbpi8AIN7PTQA+6WA+3wFgOYBJcB4TAAAFdElEQVR2ANsBuA/A9ID1DQHwewB/A2B7AE8AmOV9NhtAF4A1AHaqaB4z70vH8tNRN9/X/fVXbb95n88B8J8A/lq1/AH4LoBTTO07h/P5MQDfA9Dmr6tK+WuY71YAp1dwHz4DYKb39z8A+G7VjlXowqbnAOzhzXcZgDPzOD+z/OReIqaUekEp9Zj396sAVkIHVScAuMGb7QYAJ3rz/FEp9WsAbwUsbjsAI7yIth3AhpB13g/g1YDpdysPgEcBTMqSt4Zlm8rnTAAPK6U2KaW2APgFgJMCVjkPwCql1B+UUm8CWOytC0qpZUqpNaby5nMsj5n3pWP5eQXQJQ0ARgAw1njTpXyKyBAAVwK4qIr5y5Nj+fwkgMuUUtv8dVUsfwAAERkFYD4AIyVijuVRAejw/h6NkPtpGg7lcxyAN5RSz3jz3QvgZEPZNKbQNmIi0gVdWvMIgJ2VUi8AeqdBR8ShlFLPA7gKwDoALwD4i1LqnpTpGArgowB+mub7MZbfhZT5hI7+DxWRcSLSDl3yMzlgvonQkb5vvTetEK7k0dS+dCE/IvIfAF4EMAPANakyEsGBfJ4L4A5/vaY5kD8A6BNdxfwNERmWKiMRHMjnNACnishSEfmJiExPm5cgDuTPdxKA+/0HJZMcyONZAO4WkfXQ19CvpstJc5bz+ScAQ0XE7wz2lJDvW1VYICa6zcutAC5Ic1B7dcknAJgKYDcAO4jIR1Im51oADyqlHkr5/VBZ86mUWgnga9CR+0+hi1i3BK0q6OtJ15eGY3nMvC9dyY9S6mPQx/ZKAKcmTUcU2/kUkd0AfAD5BZku7MeF0IH0XABjAXw2aTqiOJLPYQA2K93b+bcBfCdpOsI4kj/fh6CbPhjlSB4/DWCBUmoSgP+AbhJhlO18ejUmpwH4hog8Cl1TFvR9qwoJxLxSi1sB1JRSt3mT/1dEdvU+3xVAVNH2EQBWK6U2KqXeAnAbgINEZP+6RpXHx0jLpQDGA/jHtPlpsmwT+YRS6nql1LuUUocC+DOAZ73Gj34+z4aO+Osj+0kwWLQcxqU8mtiXLuXHW85WADfDcPG5I/mcDWB3AKtEZA2AdhFZVaH8+VUySin1BvTNbZ6J/Plcyaf32a3e37cD2Dtr3rz0u5I/iMg46P13l4m81S3Xeh5FZDyAfZRSj3jTbwZwkJEMelzIp/f9JUqpQ5RS8wA8COBZU3k0Jfe3B0REAFwPYKVSqj7ivgPA30EXh/4dgB9FLGodgAO84snXoRvkL/UOpFhvJonIWQCOBnC48to2mGIwnxCRCUqpP4rIFADvB3CgUuol1OVTdDu56SIyFcDz0FH/h03lJyRdzuTRxL50JT9eOqYppVZ5fx8H4Kk0eQpJmxP5VEqtALBL3Xx/VUplflPLlfx5n+2qlHrBS9OJ0FUrRriUT+g2U/OhS8LeA90YOxPH8gfo0ts7lVKbs+VsQLpcyeNLAEaLyB5Kt586Erok3giH8ln//WHQJdR9JvJolMr5bQAAB0MXhf4WwOPezwLoRnT3Q0en9wMY682/C3R0+wqAl72/O7zPvgh9g1oO/dbVsJB1PgRgI3TAth7A0d70LdBvVvjpuMTRfD4E4EnoYtjDm6xzAfQF8PcAeuumn+ctbwv0U8F1Fcxj5n3pSn6gS6Z/BeB33rFdQ91blFXabw3zmHpr0pn8AfhZ3X78PoCRVdyPAMZAlxT9DsAS6NKVyuTP++znAI4xtf9cyyN0+7ffed//OYC/qWg+r4QOMp+GriI1tj9N/bBnfSIiIiJL2LM+ERERkSUMxIiIiIgsYSBGREREZAkDMSIiIiJLGIgRERERWcJAjIiIiMgSBmJEREREljAQIyIiIrLk/wGMcqEhU9L9NwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "value = l['value']\n",
    "value = pd.to_numeric(value, errors='coerce')\n",
    "plt.figure(figsize = (10, 10))\n",
    "time2 = df['time']\n",
    "value2 = df['value']\n",
    "value2 = pd.to_numeric(value2, errors='coerce') \n",
    "time=l['time']\n",
    "#plt.plot(df['time'],df['value'])\n",
    "plt.plot(time,value, 'r')\n",
    "plt.plot(time2, value2, 'bo')\n",
    "#plt.axvspan('2019-05-07','2019-07-31', color='yellow', alpha=0.5)\n",
    "\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "USING PROPHET "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "def detect_anomalies(forecast):\n",
    "    forecasted = forecast[['ds','trend', 'yhat', 'yhat_lower', 'yhat_upper', 'fact']].copy()\n",
    "    #forecast['fact'] = df['y']\n",
    "\n",
    "    forecasted['anomaly'] = 0\n",
    "    forecasted.loc[forecasted['fact'] > forecasted['yhat_upper'], 'anomaly'] = 1\n",
    "    forecasted.loc[forecasted['fact'] < forecasted['yhat_lower'], 'anomaly'] = -1\n",
    "\n",
    "    #anomaly importances\n",
    "    forecasted['importance'] = 0\n",
    "    forecasted.loc[forecasted['anomaly'] ==1, 'importance'] = \\\n",
    "        (forecasted['fact'] - forecasted['yhat_upper'])/forecast['fact']\n",
    "    forecasted.loc[forecasted['anomaly'] ==-1, 'importance'] = \\\n",
    "        (forecasted['yhat_lower'] - forecasted['fact'])/forecast['fact']\n",
    "    \n",
    "    return forecasted\n",
    "\n",
    "pred = detect_anomalies(pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "title": {
         "fontSize": 20
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "datasets": {
        "data-5e84746e77d3ca4fa76e5defd810a583": [
         {
          "anomaly": 1,
          "ds": "2019-01-08T18:00:00",
          "fact": 2.890000000000015,
          "importance": 0.2568177114364473,
          "trend": -0.0005243473162050473,
          "yhat": -0.0005243473162050473,
          "yhat_lower": -2.3790354720392624,
          "yhat_upper": 2.1477968139486783
         },
         {
          "anomaly": -1,
          "ds": "2019-01-09T01:00:00",
          "fact": -5.179999999999993,
          "importance": -0.523335077080317,
          "trend": -0.0005230231623723871,
          "yhat": -0.0005230231623723871,
          "yhat_lower": -2.4691243007239545,
          "yhat_upper": 2.267046151642914
         },
         {
          "anomaly": 1,
          "ds": "2019-01-09T02:00:00",
          "fact": 2.6400000000000006,
          "importance": 0.04404319694811051,
          "trend": -0.0005228339975391498,
          "yhat": -0.0005228339975391498,
          "yhat_lower": -2.233039527518644,
          "yhat_upper": 2.523725960056989
         },
         {
          "anomaly": -1,
          "ds": "2019-01-09T20:00:00",
          "fact": -2.6200000000000045,
          "importance": -0.09548177543009255,
          "trend": -0.0005194290305408806,
          "yhat": -0.0005194290305408806,
          "yhat_lower": -2.3698377483731616,
          "yhat_upper": 2.202704704233898
         },
         {
          "anomaly": -1,
          "ds": "2019-01-10T03:00:00",
          "fact": -4.2749999999999915,
          "importance": -0.4219210757968734,
          "trend": -0.0005181611894012077,
          "yhat": -0.0005181611894012077,
          "yhat_lower": -2.4712874009683614,
          "yhat_upper": 2.412307683513942
         },
         {
          "anomaly": -1,
          "ds": "2019-01-11T01:00:00",
          "fact": -2.799999999999997,
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