{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CURENT NPCC Verification\n",
    "\n",
    "Prepared by [Hantao Cui](https://cui.eecps.com). Last revised 23 May 2020. \n",
    "\n",
    "## Background \n",
    "\n",
    "The [CURENT](https://curent.utk.edu) NPCC test system contains 140 buses, 233 branches, and 48 generators. Dynamic data uses models GENROU, GENCLS, TGOV1 and IEEEX1.\n",
    "\n",
    "One line trip scenario is used to verify ANDES simulation results with DSATools TSAT.\n",
    "\n",
    "### Simulation Parameters\n",
    "\n",
    "Integretion method: Trapezidal Rule (ANDES and TSAT).\n",
    "\n",
    "Time step size: `1/120` sec. (Note: step size between `1/30` to `1/120` has little impact on the ANDES results. One can use `tstep=1/30` to obtain almost the same results.)\n",
    "\n",
    "Load conversion: static loads are converted to 100% constant impedances for both P and Q. \n",
    "\n",
    "TSAT automatic parameter correction is disabled.\n",
    "\n",
    "### Initialization\n",
    "\n",
    "Power flow solutions are identical across all the two software.\n",
    "\n",
    "GENROU initialization ($E_{FD}$, $E_{TERM}$, $P$, $Q$, $\\delta$, $I_d$ and $I_q$) is identical to that from **PSS/E** for all cases (with and without generator saturation). Note that $I_d$ and $I_q$ are in machine base in PSS/E but in system base in ANDES.  \n",
    "\n",
    "GENROU initialization (including all the internal variables $E'_d$, $E'_q$, $\\psi_{kd}$, $\\psi_{kq}$, $\\psi''_d$, and $\\psi''_q$) is identical to that from [**OpenIPSL**](https://github.com/openipsl/openipsl).\n",
    "\n",
    "No controller limit violation occurs during initialization.\n",
    "\n",
    "### Conclusion\n",
    "\n",
    "NPCC simulation results from ANDES are identical to that from TSAT."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import andes\n",
    "import numpy as np\n",
    "from andes.utils.tsat import tsat_to_df, plot_comparison, run_cmp\n",
    "\n",
    "andes.config_logger(stream_level=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "omega_lt2s = tsat_to_df('omega_lt2s.xls')\n",
    "v_lt2s = tsat_to_df('v_lt2s.xls')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 1\n",
    "\n",
    "Line 1-2 trips at 1 sec. and reconnects after 2.0 sec. The reconnection delay is set to 2 seconds to trigger a large disturbance to the system to verify nonlinear models."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simulation Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Toggle Toggle_1>: Line.Line_1 status changed to 0.0 at t=1.0 sec.  \n",
      "<Toggle Toggle_2>: Line.Line_1 status changed to 1.0 at t=3.0 sec.  \n",
      "100%|████████████████████████████████| 100/100 [00:10<00:00,  9.87%/s]\n"
     ]
    }
   ],
   "source": [
    "ss = run_cmp('npcc.raw', dyr='npcc.dyr', fault_line='Line_1',\n",
    "             t1=1.0, t2=3.0, tstep=1/120)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "idx       Line_1\n",
       "u              1\n",
       "name      Line_1\n",
       "bus1           1\n",
       "bus2           2\n",
       "Sn           100\n",
       "fn            60\n",
       "Vn1          345\n",
       "Vn2          345\n",
       "r         0.0004\n",
       "x         0.0043\n",
       "b           0.07\n",
       "g              0\n",
       "b1             0\n",
       "g1             0\n",
       "b2             0\n",
       "g2             0\n",
       "trans          0\n",
       "tap            1\n",
       "phi            0\n",
       "owner       None\n",
       "xcoord      None\n",
       "ycoord      None\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# line information\n",
    "ss.Line.cache.df_in.iloc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scenario 1 Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsat_omega_headers = [ss.TDS.plt._fname[i + 1] for i in ss.GENROU.omega.a]\n",
    "tsat_omega_headers = [i.replace('GENROU', 'TSAT') for i in tsat_omega_headers]\n",
    "\n",
    "fig, ax = plot_comparison(ss, ss.GENROU.omega, omega_lt2s,\n",
    "                a=[0, 3], ylabel=\"Generator Speed [Hz]\",\n",
    "                tsat_header=tsat_omega_headers,\n",
    "                scale=60, right=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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X0HJwHnqTBontSB7ZHK/TQHjLhEP7xFT+8iuewlI8636Abb2g83W+4z//RHiHjuijYo5q27N7A/rsJSirZ6GU7iGmpYWSrHist04LTqIEoCi4Wl5H1kvZoC2h5fBs9Ilpwen7OCp++omiN+fi6NmTZpcH/2XZ2OoMMu7rA+s/gF9fheFvBj2G+i7lyaexnXc+4a0zfVUY/UyxJaAf/yW8PRgSWuPIKUfNWovlzDP93ldjVvbJRxROn44uIoKoQYPQX/gvqCzA1GXw4ZOOVwbeGA5pXX3/et9H1PDtWNUIVJfX9/ivr+Bd+R75e84g4V9TMcTHB+4JNRKe4mIKX52OY/0amo9tjfLnxyiV+cSlW/Cm6jCFVx06N2pAP6Jsf6CldTt0TM3PRnHb0Sl6LEuuhn09ofN1eJJ6oI9NQDHI2+XGTJHKLQ2Poigb27Zt23bjxo2hDqVe0NxuHMu/JbznpY33BbGqGHXuleyZuwuPQ0ezG88mbMRjEN+qxtPVqioqZ9+PoXQd5tvnQ1QqnsJCtvfqBWi0GW9FZ4sBTSXnkxzsWQpp5xVja+IESzxaz3vQzhyDzmwJ6tPUVJVdPTuC20nqnZcTPrpubMZa+csvlH76GZauXYi54orQBJG7Hmb08t3xnrgOoutGIin+proEx84c9lw/FhSF5u+8Q3ib1qGOqmHY8yvaf8eSs7EDEcPHEDVwgP/7UFV4tSsFS/Io3BhB2Omnk/7Jx7KW6RS5//ienVdPRPNotOhXgDnWDZY4aHWxb/+yzAt9awD/iaMMfpuJZ+1XGEr/AHzvjbOXp+ByRZPy3PNYunYPzpMReIqLcWzciC48HEvXroeOa6qKotPRrl07Nm3atEnTtHbBiKeRvjMUjZlr428YoqzomvpGNJx/rmb3zfdhsN5P+ofvYchoZHdqneXw3nB0B1aT1jcKZchL6M8acsxLdBYLEbe9fNQx9/79GGPCUNwV6Ep3QKnvuKJFAxYcWia2/mOh02gUk4VQvDVQdDqaPXUHhmUPoMTVkSWbbgfWbc9g7d8Dep1C9bRTldIRrUUvKn9ZiffVB4l6SNYvnQhNVVFWvOqb5pkShP2xzDGYMsMJa9UK0DBtnwORIyHljMD33UBVr1tHuHMVyrf3o6gemvZOhwH9A9OZTgc3LSEi5RUq5v1OwsQ7fIlS/hbfOjejOTD9NjCapuHctp3wWOD7RzBu+5akThZMNg/h3fr6Zju0vBD0xhNrMDwKet+Lofe9ULYP1ryD55e5VOd78bpK0X96DSgPwlljQKcP5FNrdIrmvEXVihUkjL+O8PRkiGlB9bp17LvlVsJSo8i4vy/oDGCJJ/vl73Dnl6FWBHdtmYwsNUAysvTPPHu2kjVsCBEtw0l+7zcwmKj4/G1yHnkGW4twUj9be/wpFg2IOycb15vXYVV/B3MsXPcVJLWtfYOqipq/E13VfnBVAhpuRxhKQiaG1HS/xX1KPE6oKobIlFBH4rPrJ5g7GCJS4K7NAakGeKLK353GvqdmoY+MIPPHxeht1pDFUl+UzH6V0jenEd+ugoipayAqNSj9qpWVaMueR79iKoRHo01cj2KOCkrfDUnJ++9z4LHHiW9vJ6F9BbQbCpe9emjKcSD9dZccRxlM705VoQm18wRsl98Y8L7rM295OftuvZnqtX+QcUk+JpvL92a640jocQcktPFPRx4X3t/epuqjF4mIyvYdS2qPs91ETD2H+7534qR4y8txbtmCpUsXX2EjnY7dV19N9e+radKthKiB/WH4bKo3/Enuvx4hvHoNTbqVHrp+1zcJOMuMDMvfwZYSj4wsCREIZdPuwFMJlXudaBVFKNEp2C4bQ6s+g9CK9x9KlDSHg8qv3mnQf7Q0l4uccSOp3lNEk3NjiHri41NLlAB0OnTJrYDD0/dO8L5e8BjCIDIFTdNw/Pkn5g4dQhqOs9KC/vx/Y7AYQpooAdhG3kHYJz9j7d4dNDWksdQXZV99j6PIhCusXdASJQCd1Qq9b4Oi9dD2Mko++RLnlq0kPfwQurCwoMVRr3ndaCvf9n3q1KNd+ChKz0lB+z089Ga7ZDdeh0rOt5V4PplGk23Libp3hu+1SvwPnTMPZf9q0DQcxTpMnfvDRU9CfEv/dmQwoe9xIxHdroPfZ8Pip3Hv2szu6Y9gbv4CqW/MR5/sp6qXjYBj82Z2jxyJotNoPdqNMuRlaNmXmJFXEXlGUyz5M0H1reszd2hPxqefwsKHfL+PXg9UFdIsMRdHVja6d02AJ2ixN6hkSVGUvsAM4CJN03bVso0M4H4OTSIiA3hW07Q1x7luMnDWEdfN0DTtB3+1L/wgdz1xMSuwXWqEq95BiT48sqCLiIWIWMB3t2//2EuxrzlA4qY/iHvk1VBFHFCq04mxeTrO/UWYRz8GjagCmuZ2kzXiCpxbtpA+9xXCz74wZLEcmPIyVatWkTrtP0SGLAofxWAg/aOPDr+J07SQJ3B1Xer0mZQt+JyooUOD37k5GkZ9gLuggPwxF6G5XFjbxBLZ9TRofbF8747F44QPriE28hfC+5oxj38FpcPw0MSScgbKrUuI2HE1lRv2YKv4DN7MghFzIDYjNDHVMd7ycnRWK4pOhxKbTsqAZLQqO6ZRM31rkgJJb4RzxkP74TheuQNNXY1akoeubCtIsvSPVKcTT0EBpigDrH6LsLXz0Osc6IwqnrxijLuWQMu+vrWBF18I3gd80yGPdPHTR31pAGwAX7eDA5uC9EwaQLJ0RJKyC1/iUetXFkVRzgIWAZ3/SrYURYkGViuKcr+maR/VcE0G8D2+5OiiI47PUBRl15FJW23aF370+2wAws4dCGdf+s/nqSqGSDOKTsO4+yNY1wvOGBmkIINHHxFB6ox38ezfjaFJi1CHE1SK0YjJ4sRlUHF++VLIkiVNVVGrqwEIb3uKo3p+ouh0YM+FpVN8d/kGvxTqkOo0Y1Ii8TeGcARaUTAmJtJ0+nTKPv4vEfmzYP4+aN4DrfeDKBk9QxdbHVW9YT3h6/+Nsn0hGMxYJr4DrS46/oUBpItOJnn2D3jXfoL+u7sg9w94/Tzc3R/HeMG4kMYWatUbNpAz4RaiR40m/uZbQKfHeMM839RxY3jwArHGEXH/e6T3/BQlZyVKm36Ab/0ULheKjOgeUrVqFfsm3o7R7KHFeVkomgcFaNHfiqHTJSgdRxy9p6AxPLjfy5NU7ydcapp2v6ZpF2maNh441dGZD/GN8hxKcDRNK8U3EjTrYGJzyF+JDjBZ07QpRxwfDtwE/P021Um1L/xs20Lfx7OuPeZpisFA0mtfkfFQPyLTHPD5bbB7eRACDCJ39aFPG1ui9Jek++6m1ZACotpH+ypUhYCS8zvp9/al1RfvYGxeh+5Qlu3D/dPb5LyyANe6ZaGOpu76dbpvYX4dYOvZg9TJz6K0Hwb6MLSs5ewaeR15ozqj/jobnBWhDrFOqF67lj2jriL7jV9RNRNcNT/kidKR9GcOg5t/hmbdKd/lZseEqRTfP+So1+zGxrngJdz5RZTNm43qdPoORjYJ2ZvrsB5DMV3x7KGvS+e8zu6LuuD6bUFI4qlTNA22fIXp57tQy0rwFNvxVKmQ1g2GzsT46HaUEbOhzaV1Ojn6u3qfLPnLwSl8GcD/TJ07OOITDfy9pu8soFjTtJl/O1568N+h5K2W7Qs/yv7Wy+4f4nBVnEAlG0XBdNUL0PYyUN2o743Gs2t94IMMgrK3XiBv1Bl4l88JdSghZex0Ifr7NsIVb4euqMf6D+Cb+zBs/6BulQ5O68qBvV2x7zWT9/p8vzSpHZmQblpA5cev4tm/xy9th0L55++x/4nJVD95HlQWhjocH5MF+j0Jd6ylPPxSXHYjZZvKUb6ZBFMz4f3RaKvnQXVJqCMNDU3D8/1/fCOmiuJ705Z5wfGvC7aopjDmSyq0s0FVcG1eDW/0hcIdoY4sJKKGDSGpcyktJvZEZzKFOpyjqA4Hha+/jiPfQ8Vbz/iShUZGc7spmTeP/Icm+LafeH8UhrL1NL+ogpaP9MV45xIYtxDOuDIohVMCQZKlw/66tfRPa51Kjzjnr+l3w4H/mTqnadoPmqbF/G3N0km1L/yvukBHdWEY2l93po5Hp4OhM3CZ27P7CwP7brgWzeEIbJABpjoc5L86m+INeko/+STU4YTewYp47rx8QlIZdNcS38eM84Pf93EkPvs6lu7dSLjzzto34nVT9f4U9g7tw4HHnzh8/OfnOTD5ebb3uZiyZ8b4ytfXM6XvvElZloXyytPAWsc2FY1KJeKB+aS9Oo3Eq/qgxKWDxwFbviRrwr/Y3a8Lzuf6+UbGimu1vLd+WjGdiKovaH5hIU0nP4XSflCoI/pnegPJbyygyX1jSeoRBnl/wszz4c+G/7rt2LaNnIm3obpcACinDyB22g/oL3++zq3D04WH0+K/HxF3YToxT75b5+ILBsfGjRx44kmKPlmEc9smMNmg512Yn16PMmx6g9jWQJKlw/rCoWlxNdnF0dPqxh/8+H2A2hd+ltLTQ2qPYgwJcSd+kdEM/afgrjLgKqzC+cnjgQswCJSwMFImP4+1YwtiHpwe6nBCTtM09t05iR0XXIBjcXDfhHj3bmLHHDv7f4tGSz0nqH2fiLCMdJrPmePb8LRgK2z56uQb2f8H6uLnqNyci/2LLw5PoUk7B4PViM6oYSv/HKZ3h5x6VONG9RLXIpfozEqiRl4T6mhqpCgKtgsvJfr+1+GOtXDzz7g7TMBZaqS60IihaCUsfAA+uAbHtm04tm4LzQ2DINA0zbc2sGgnAOarHkfXdVSIozo+RVGIGnsvyi3LfGvQnOXkPTSR6q/eCHVoAaNVlpF97ZXYFy6i8PnJhx9ICkqF6FoxtmhF4qtfoxysxqd5veRNGI77h9ca7EiTOy/v0Gu2uVMnooZfTtKgNpguvgPu3AB9HwXrSbzXquPqfYEHP4rmcIW6E/FX6bBdB9codQWKgEzg+xqKNZxs+8elKMo/baSU6S3IJfuybkR1iiPydN9SKE+Vh9zP96DoFJpeebgORsmqAiq224ns1Ymoe18HfHt45IzqC5pK07mfHaocV/r8fZT/+BMRp0cTfZbvbqrm1ch+3/dHqOmIdHQm3zS3snVFlG0owXZmJrFPzjvUX/aw89DcTpq8+PqhDWDts5+h7NPPsWZEEts98dC5+z7cheZWSR7YDGOkb/i9fFsZpb8XYG6ZRPy0w3OE9197Cd7SEpIefQJT54sBqPz4dYrfnkN4EysJTUpBdYP15IaBTR16kPbQWExrn8WwYxbkXwuJp59UG3WFoijY+lyIrU/oqr/VJYqioFTmgqpS+f5zmPtcHrS+K7+eh7vKQLU9HCWijo1MHCl3Hcy+lOo8L4Yrp2HsMfqYp3t2rsVdqcfcsSOkdcU2YCTJTSuxXjHxcEnrS/9N84ufwbP6U/TLH4fSPTCnP+6+r2LsFrzvQa3tXobFth9Lryjoc+w1kHWCokByB4yXd6BltwlUr/gRfZNy2Po1tOhF4WuvUf7Nt8TffBMJMYuh/TA4YxQY6taUp9oqeuMN7F9+RdOXX8J0+sCjF5bXB5EpcO0Cyp4ZS/HWVZQ8PJ2W3YdhiI0NdWT+lb8Z5cPrSemYQ/E2G7HnJB7/mjqocOqjFC/aSPmv68i8exnKkJfq3uhzLbnz89l/7904N6ym5cA8dJPWQExzmjz1VKhDCyhJlg47oVcdRVGiD44OdTl4qC+wS9O0+484Z6eiKH8Vnaht+6dEczqp2FqGJXwvKJW+Y1U6KrYmg06DLV8eOtexNYqKHVbCkzcfvt7joWLrwTA8hxeWOrdvoWK7HZN+P1jsvoNeqNzexHfdlm/B5LuT4toWQeWOCEzWrUfFVrGlAFTQyosOHXPv3EbFdjt6zwGIWXnoeOW2ZFS3Dm3rIojw1d93b7dQsS0axXP01J3Kjdl4KlUSCvcfbnfvTiq22dHK8yHZDYoOzDEn958JWK64F9S1vjcXX0yE67+tf5vXFmdBVBro5df+SAmT7iU+sj9hEft9iUGQpgzYonNodn4hapthQemv1pI6UGE4l32LNmBY/hjNH/wT46BHfOtj/qKqsHsZVe8/Q/b8Pejjk8n4dqEvOQj8ZucAACAASURBVBr8EjGDa2hXp8PQ9XLocBF8dD3lPy0jZ9xDNH2yFNuwOl79a937vo/tL693e+EYU1MxXn5wNKz7raBpKF/eh2IyEZGhhzU/QcFWvOkD0LxgSEgIbcCnSC0+QMk77+LJz6dyxQpMV9TTpcF6AxGTXqM89z6s3br5EiVXFWSvgMw+oY7ulHgKC/H+8jZh66eCpxpbq0Ss981AaVk/n1fUqBupWPwTsak7UbZ/BdNXwqCX4LT+oQ7tlBmio3Hvz0N1QlVJBLb8zRBTh4oTBYi8azrsREd+Yg+e91fluswaCjyMB75XFOXDI9YtnWz7x/VPOxcrirJRFxXVNnlcP8wZKdDcd3dG73CRnLAFRadA78MbcUa13od5fzFh7ToebsNsJuWm/r6NKY8YSo0cNpqwzBWENY2HzIP7FKkqKTG+eve6c08Hg29kKaJDHsY9BYSlpx8VX8rNQ8HjQJ96eJdt66WXkxIbgykpBk5reuh4cvRGNK+KvmtrsPjelFhzikg5az/GlOSj2k286Uq0ihKMp5196Jj5vP6kqB4MsTbokA4Jp0FE0vH+a2v6T4X+UyFrKdXr1uB542Eibnrm5NsJEdVuZ++wAcS00xH54HsoqfV/DrG/mNp2hu4D4M+PYeUsuOyVwHeqquj2LsWa7IKhdXxkQqfDdMUUDAuGExZWgmHddNjxPlrGRbgcVqguIaxqNZTuJdyjoDMkorcY8BQUYmp6Apu0hkfCyPlUfHU+mreEsjenYOs3CGx1866ye99u7B9+S2SqHuMZV4U6nFOnKKQ+NxW18jF0OCBeAWsCRe/Mo3jOWyTeNYnYC06HtK6hjvTkeVzoFtxAiysjsetGED1iRKgjOiV6m5Wmr7x8eF3M1/fg+W0+nHcPhksfCm1wteTYsJrscWNRvFWk93Ogb9sHhs5AqaO//yfC1Kw5Lb5ajFKwET69GfI34Zp1NUqnYRhHTPO95tUT7v052GdPJjZ+LcrVH6PYEmkyeTKGcBem9Da+vd4aAaUhzVE+uOfSffgSmJNataooSgmApmk1DjsoirIa39S7GE3TShVF+es/7qJ/2HxWA9Zomta5Nu2fTOw1tLWxbdu2bTdu/KdZeqK2Kt74P7Kf+wx9OGR+9z36xLRQh3RCip6ZRP7cbzFFqmQsWYliiTr+RY3J3hUw+2JUJRzlnk0ogZ5rnbsOZpznWwh7X1a9mO7kKSlB2fEt+p+fgbK9OO0Gdn2dSFi0m4xLCiAsEjoMx5V+JcbTzz68se0JUitKKL2rDzHJu1Ayz4NrPgPdCVSuDLLiZ+4kb+5CzMkKLRZvbJALujVNI/uGG6lcvpzUu64gcv8LvlG0Af+p1ch8yOSsgbcGgKKHG36AxNNCHZH/qCraNw+wd/JHuHVNSJs1m7BWrUId1cnZuwLve+PI+siFooe0/7sa05BH6t+sjWNxO1AXPs7uJz/E49DR9BITlnHToHW/UEd2bB4X6sq5bL/lP6hOSDuvCNsVE3xrkeqAdu3asWnTpk3/NGjgbw3oJ/KUFZ/ISUckMn99PFZ1u7OO+Ppk2xd1kPXqf2GK0WFtqqAV7Ax1OCdG04g2ryCho52EK/tIolSTtHMoyMpkx8fRVH0wNeDdVXz+NkVbrLgiz64XiRKAISYGfderfMUCrvkUz2lj0FmMaGFxqMPmwt1bYeDzmNp1O+lECUBniyH26fdRwqyQtRR+fTUAz+LUGas2YEl0Enn+2Q0yUQLfWr60N2bRbO7bRLS2+KYv//kx7ik9ULctCXV4x6VpGnlTp1JdoIOx3/q2B2hIiRKATofnzIm49Wl4y6sP/yxWFh37ujpAczhgyWSYcyl65z7SBptp8c5sTMMebViJEoAxHG+XiRCXATo9Jl0OzBsB74+G0uxQR/c/tMoy+G0mvHQmuu/uJjq9AnOSir7XOOg5KdThhYyMLB2+djVwlqZpNf71UxRlJ5Dx1+NHjATV2NfBkaRoDo9EnVT7p0JGlgJLzd6ALinz6DUbddnWb2H+lb5RjEl/1q87w0GUO2EUpYvWEt1WR8pH6wM6qrFvSFfKt1QQP6QbCf9u3Ptd/Y8176B9fhslO6OxTppLWOfeoY7oMPt+mNYW0NBuX4sSl3HcSxqEnNWo748j64MKFD00/b/rMA1+qM4mi6WffkLuAw+hhIfT8ofvMcQ3jMX1NfGUlODauRNLly5QuB1m9YFut0Dv++vkyGz1sq/Jufd+kjvmYWvihI5XQv/n6tXUtNpQXS5c2zYRvv9jWDEdVA/V9gjCB9+B0v1WCLOFND6tLIeiJydRvGg9LS7Mx2Tzgi0Z7Zzb4OzrUUIc39/JyFLo/A6+Agv/8HgGR2wyy+HNZY85YfOIkaKTbV/UUbq0DvUnUQJY/qLvY9dxkigdQ+wdD9P0QgfJ7ffB9hPdEaAWXJVYo3Kxpjiw9a/faygC4syrKdjTlrzfLRx4+qm6Vc56w0eABs26N55ECSC1M64L38TrteB16FB++Y9vLYa7Du47V7CViKxniOjZhYQ77mjQiRL4RnwtXQ7Wm9r8Bc78KrKfnIV7+iAozwttcH9Xsoey5ybgLvVQsCkabcjrMGxmg0+UAHQmE+HtO/k2jR6/jCr9Wez+OoLsR19D+3xiaILSNNj9M3w0DuXFjlStXoW3WqE0J8WXwE5ch9Lr9jqXKIWCJEuHzTj48X/+Ah6R4HxwxOG/Pv+nv5jRHJ38nGz7oo7zFheTf/8NOJYtOP7JIVL13QfkvL+ZqqJwOOfmUIdTp4W1aUvEZaNRdMCqWYHraM8vxKSX02ywDXOvSwPXT32lKETf/RyG2CgiLru6Tu1TUvHle6heoEPjS3LDO3Um/avvSHtwDEaLAuvf960HqigIdWiHVRXDvCvR27eT2quM2OvGhDqioNJ6TiJ3Z2cq9oeTv2AjvNoV1swN+e/QoRseMc1JvOoC4rrF0mz+ZyidGkCBlNpIaouzza0oRgOGGCtKryOSpfIDUJEf0O41TaNq2ffsH9Ie76yB8OdHoHpI6JtBk0mjSJi7Fs6+EYzhAY2jPml0yZKiKNGKovT9+3FN09bgW390ZQ2X/VVrdObfzl9T0/lHtH9jbdsXdV/epNEUfb6cgil1d3+B4lmvYt9rpqzkdIhsEupw6r4u4wAFbfsPaAXbA9PHzh99HzPPr7PTmELN1KEHLZcsJXbMmFqtfwoE58pFZH9qZ8eCZNSW9b8EcG0Yk5MJH/EQXPMJhEdTvX4dhbf1QSvOCnVoqFUVVEweDiVZENUMZfjsOvOzEyyKopDywgys55xF0iVp4CiDBbfDWwN9U/SCTLPnU3j3UHLvPpwM6C5/lcQ5P6NPaxv0eOqSmCtGkPH11yTOWgwpvkrEnsJCcm+/Bse/OsLvs/3XmaZB3kbYdPjGbu4zz1O2VcW+LwbOuhbGL8X80CKixj+CYqwf62iDqaG9kvw1anOsqXEf4ivrfVMNj40AblIU5dDoz8FRn8nAiBqKL4wA+h7clPbI82cA9x9MkE6lfVGHxU96gPB4leiLu/v2malrKgqIT9tGVEYlMTeFaJi/volNx+4+h6yFCZS/+WRAuqjWdUDtdD2cfllA2m8oFNPBP9j2/bB7eWiDAdzVBgzxMZjbtUYXkxLqcEIr43w8wz8he2kCBSs8lN57CRz4M2ThaKrKgZsGk/1BLoVb42DU+w1mE9CTFZaRTrO338MwcQn0ewqMFgq//QP7/eejfX0fVBYGLRb3vDso+HozZV9/T9WqVb6DRrPcJDrIlJZ21D5mRbNnU7piH/mrzRCbefjE7JWwbJqv8E1F/rFHCjXN95pZstv3pctF8ev/Yd/oAWifTgCPC0VRiB0zhqgBF2K+91MY/HLQ9hesr+r9PksHk57x+BKlv5Kk1Yqi7MI3kjP+bwUYvse3oezvf29L07Q1iqJ0BiYfvL4I6Iovkfmf8uCapu064vwjR4zG/8P5J9W+qNtMnc6jxeL1KMY6uinl6rcIj6ymydC2cN7QUEdTbziNbXGW7qV04QoiJ1X4deGtt6KS3Xc9i6LX0/KHh+r/C3Cg7f2N6mnDKMmKIGX+KhRLRMhCsfXuTculP+MtKwtZDHWJoWVn4idMwD7vdaKSc2FOf7hqPrToEfxglv4Hffl2UKyED7kTkoKy5rtu0xvg3NtxGNtT8O6toEG67U3C/5jn24z47Jv8n1BWFePJz8PQ4nQATIPuJf6XGzD2HIn5r3VV4h9FXnwx7pz9RHZvCy16AuAtL2fvuDuxhGeTeKbdl2eGRaJZ4lGs8aAz+JJPVwWeoiKqs+0oXie2iwbAiDlgMFAw50NUu5lqXQaWqiKITCFm5JXEjKxpopOoSYOqhid8pBqewOuG59tDxQEY9gZ0bHxrLGrLnZuL/aF+RCdnox85EzpecfyLTpBj6zayx49HMZlo+d1Cv7XbUKlV5ezocTbeakh5+C6ir77x+BeJoNLKC1E+vBqyf4Mr5qKdNhAlmCMHf34CH10PgPOMBwgb+n/B67seUF0uimbOwrl2OU3P3ufb4w3wuM0YLp/im4J1Sh2osG8V6q9vkjNrEZUHwsn8cTHGxMTDjzey6ZD+ZP92ITl33okpIZzMEUBxFqCxd0ksVYUmUs8tIaKJ03fu3nByfonFHOeixW1n+25eAPkvvog+IoKowYMbTMGTYFfDkxubQpwizePBPnsylUt/JGXu93Vinrz9zadx/FJJzBnJGNvKdK+TYUxJIe7//gMmKzQ/169th9uX0vKtp/CEpfu13YZKZ4kg/uYJOLJysPQK3SaO3gUPoVdLoNutkNw+ZHHURUpEPFzzKexeTtlWJ6WTx9L0lZfR2wJfQcuz+kv0X9+CAnDOLYRdKonS3+lMJhJum4Cm3eqborX5c9QlL7BrxgFMWz8mdfolvsRm/1pf9bzm3SH8OHvx2XMhewXq1iXoshZCeS6KBl5HHJpHpXL5L0QPHXIwgND/PazPLOecTZOpU3zfu8GDwV0Npdl4fpuA5tkH594JXU4Dk5WwAgdhea8T1ulMuOqZQ20kTpRp+KdKkiUhTpEnexu5L7yDpipEfjID2/BbQhqPpmkUvvspzvwI9Kd1Ia6ebHpapwRid/XqEvj6PhTNi/GOtf5vv4GKHX9bSPvX3C52PfYxepOHppN7YpJk6X8ZzXhTupF3zUV4S0spfWsGcWca4dzbA7Y+xb3uB/aMvxtzbDhNrj0f5eKnA9JPQ6Eoiu970W4o1fZkvN4b8ZRUYoiL852w6g3Kv/oQXedRmK9+Gp3VCgVbfWtlVDeaqwql4gAUZ+EptZO9LBZXmYFWQw+gM9tQThtI8vl9UZp3JiyjEZXVDzBDTAxRgwYdPmA0Q0Jrmr0zH7W62vf9s/i2MglrDRlfyc3RQJBkSYhTZExvS1zfNii5v2PO/wS0m0O7gFXTiL/rYUrffp3oCY+GLo56zLFlC1W//YaxeXMizj/fL21qVWUoHYb7dm2PlTcTJ626xFcG+ZxbIIg3AJy7svA4DaiqEcPZ8kbkn+htNprNfpPSD/9LrDoPvt8BXhecd4//O8tdh2PmTbgrTWCMwtvvBQx1cAPWusravTstF/+Ie18Oiv7g/1tkKvnr43EtXUizM0dhPftsKNmD/cvPOPB7NNZkB6nn+mpQ6cN1eBxhqB4NR+d/YxlwPRjDkULTwdNQptPVF5IsCeEHCU+9Di91gvyVsGsxZPYJWSyKTkfkkBFEDpF1SrVV9eMC8l6aQ8S5Hf2WLBW8/SkViw8Qf8vtNPwtGP1M03C/eCElK/OxDrFjvfaRoHUd3qYNrZf/jGPbNnRma9D6rY/C27Yl+dHHYFVTWP4iWseRePbvx9jEj9sWFGyFtwYSkWAn7fIOmK5/A0NiI69OWAvGxMTD64oArdd9hHUvQFu3HmOTVN/BuEzU1sPw/rIEj/U0uPJ2iE1HiWlB6sDNGNPSMCYlheYJCBFEkiwJ4Q+RKdD5evjtNVjyb8i4IDSjS7KY1i9M5koim1dhtvlvc8CKpUtxbt+O5q2DZebrOkWheH9rijdVU132PtarH4QgjiToo6N9d9rFiel6A5wxioLpMymZ+w5Npk4h4pyOYEs4/rXH4CkpQdEnoM/oDZVF2K6aD+Zj7RQiTpRiMND0+eePPhiXiW38M6QPK/CVuI6JOfSQRarbiUZE3lUJ4S8978RRbmXf/G1UfPBySEIoeWosZff0Rt22JCT9NxS2i4eSOrYXsWPG+KfB3HU0n3wPTaZMxnZeL/+02cjE3v0UliQvMemFaEdsrhhQW7+Br+72LX4XJ0XFQPWatahVVaibF8OLZ8DKWbXbk0714tqxlT1XjWLvjTfh7feCb2NcSZQCzhATQ3jr1hiOSJSEaGwkWRLCXyKSKas8i/J9ZgpnvHHsjeMCQK2qpODjFez/Mp/Kn0O/iWe91qQTXPkudL7OP+0tfgb9/P5Exe9BH3WcSlOiRsbmLWn+2HVENnWg/DwtKL9fuU8+zb4XPsbx3dyA99XQ6Ewmmr35Bk1ffomo2B3groSv70GbMxDyN594Q3mb4I0LURY/gbesDE9xMd6yCt9CdyGECAJJloTwo7j/m0pkupOUTjmwY1FwO9cgduxYzJmJ2EbfFdy+GyhvRQVeu/3UGqkuOfyz0LLvqQfVmJ1zMxitcGB9wH+/1MK92NcVUJ5tRm0qo4G1oRiNRFx0EYycB5dOQVUsZM3aRsEtF6HOGwNZy4450uTOywNNhdz1GAuXkTblYdI/+hBTixbBexJCiEZP1iwJ4UeGFqeTeudV8OsrsORZaHlh0NYu6axW4ifeR/zE+4LSX0OX9+y/KZ47l4SxI4i/9/Fat1P9xasU/mQjulMcEYmn+zHCRsgSi9ZpDGX/nYP6/L+InR645FPZ8gnNLiiiojwDc58hAeunUdDp4JzxlG1w4yx9FdWlELf5M9j2GVjiUBM7oYttCjoD2HNAZ+DAjraUzJ9P87lvYxk2E1r0xByRHOpnIoRohCRZEsLfekyEVW9Czu9o279HCcSePX/n9YBefp39yaArBU3DtfwjuOex2iW9mob904+oyDGjS21KhN+jbHyqws4l97fPUAxFRP35A/r2AUiYNA3lj3mYY92Yx9wqRVP8JHrcBPRprVHs2ejC1sHGT9Eqi9gxbSOaupGWg/PQmzRAQXM1Ba+XyuXLsdxxR6hDF0I0YvLuSgh/syXi7XAtxXPnUTXhXpot7IsS4DdbxfcOxJykwzxmCsimmX4Rdd0EIstmYzQ5fWssktqefCP7VhGdnI3SLgLr2NBurtpQWC4ciLX1ZCzhWbByOgQiWdr3OxRuBYMZ2g3zf/uNlKIoRF58xM2j/lNxr1mE94O7fY/3ngRxaRDXilh3ItGjrsXcvl2IohVCCB9JloQIAK3zjRQ9tADN46Lyw1ewXRm4O6PuLavJ+2Y3aAqZfQ9gkmTJLwxJadD+Atj2LWz+onbJ0u+zCYvykHhNfzj/Iv8H2QgpikKzOW/DK11g7yLIXQ8pHf3aR+nMf+P6M4LoAX0whcuuWAFjCMN0dn9a/dodtbwcJS3t0AhuWIhDE0KIv8jcAiECwNC0FYnDupB6dQesfQcFtrM1c4lqXo013YKpsxQQ8KvTB/s+bq5FqeryPPjzE9/nna/3X0wC4jIPj/j8PM2vTWvOCoq+20DR5ggqnW382raomSEmBlOzZiih2JtOCCGOQ5IlIQIk9vF3iHz4vyhx6YHrpLIQ464PaNKtlLQXpwSun0bKm9yD3N9j2PVWHlrWipO61vHfJ8ldEY7LdhY0lQ0c/a7nJKqLjOS+/SPaga3+a3fdByS0K8PWQkfk1TJ1UgghGjtJlkSj88OulfR//3pW7PszsB0dcZdUU1U0r9f/fax4DTzV0OQslFZ9/N9+I6eLT6UiLwpnmZHyuc+e+IUVBRT+9xtKd1op2J4atIqIjYka04rsn5Mp3WGl/Jsv/NOopqGsmkVkMwdpj94qe2IJIYSQZEk0Po8se4Js5+/c+MNo3F53wPsr/2weWb07Uz7jYb+26y3aT8HMt/A4dNDrbnlDHgCK0UjSpFtJ611EhLYMinae2IWLnyI20461hYm4ux4JbJCNlC4sjNixY4kaPIiw3n4qwrB7GRRsBqMFOo32T5tCCCHqNUmWRKOSVbKfCvb4vlBUlmQFeHQJcKxYiLPAQdH8z9A8Lr+1Wzrt/yhcZ2Lvz02gTX+/tSuOFjlqPLZevVDwwsIHj3/BvtWw+m0siS6azXid8Day7iVQ4m+/iyZTphCWkeGX9sreeJbSXWbUtleAOdovbQohhKjfJFkSjcrPezYd+rxi2yMUl8QFvM+4h18m/qIMms19D8Vg8k+jlUWEly8lLMZF7BWXyT4wgXbxs6AzoG5aiLb2g2Oequ1Z6Rvl63AFNO8epAAbOa8b1r0PFfm1bkJzOSj4IYfclTHYS1v5MTghhBD1mbzDEo3KzpIcADwVrdC8VtbsKQ14nzpbJAkvf4U+/Sz/NbrsOayxJaRfm0zULY/7r11Rs4TWlNuGs/OrRAqeut+3D08N3Hl57HjkQ0oS70O7dHKQg2y8vHOvJf+xe6iYPqnWbWiaQsxNEwlvnUnkyHF+jE4IIUR9JsmSaFSy7b5kSfH6ptjsKKgIegzViz46tWIPxVmwchYASr8nUYxGP0UmjkVrMwhPtZ6KHAPqm4Ogsujwg/lbIHc9pR99hGd/LqXf/w7GiNAF28gU7UmlaHME+d/vRVPVWrWhCwsjbtw40hd8ic5s9nOEQggh6ivZlFY0Ki6nFU9Vc5pHNiXL8xXbNTua1j1o+3scuGkwJUu3kzJuKdH3vnTyDWgaubdehSXMQGSfHiiZUgEvWCIHDERzVhNR8h46iwWscaguF4p9L8r0cyC6OfE3LQUNoi4bLElsEMXd+TDVO3KJveHG2hU6+X0OnDYQbAn+D04IIUS9JsmSaFRMVedSvaclQ/q35BVGoCkau0pyyYxtEpT+jSnJwDbcKxfAgZsguf1JXV+xYC6lf5RRqkRjnnQ3floBJU5Q1LAR4B0C1b7pm3uvH4tz61ZaXqJHn9QexVNNwm0TQhxl46OPjqb5u+8dPqCqJ7yOT9u1lAOPPkpUmyewPL1WCjsIIYQ4ikzDE41KYaWvGl1mfDQ6bwwAq/ZtC1r/sQ+/SouxGSS0K4H/XgsO+0ldb+0/ioQbriT+8vMxdTovQFGKY9IbwZaA6nTi2LABtaICe5upcNU8iEwJdXRi23dor3aDspwTOr1s8WpKd1rJ/tGGqspooBBCiKPJyJJoVModvn2VIsMNhCtxVFPMrpL9QetfMRoxT3gHZpwHxTtR3x+DMno+ijH8hK+Pv+exwAYpToguLIxWy5aiOpwYYmNCHY4AUFXsbzxO/g8lpBSOxvrId3CcCpS2y64hausBwtq0RGe1BilQIYQQ9YWMLIlGpSD6UaytnqJc3Y/NEA/AvvIDwQ3CGgdXzEXFTPacdeTd0O+Y+y9pHjdljw1H27sqiEGKE6GPisKYlCjrk+oKnY5KrQvuKgNFP+2BLyaC+g/FVEr3AmCIj6fJlMnEjr0hiIEKIYSoLyRZEo2KprOjM1QQY7EQF+ZbzJ1XGeRkCaBpZyrbPEhVXhhla/LwTB8E9twaT82beBX7399Izk2j0RzlQQ5UiPol6fFniR91KU17lcK6efDxuKOnu2oarHqDqkfOhqXP+b6GoBV5EUIIUb/INDzRaJQ7HCg6DwDJtmiSrElscUCxsyAk8URcdQcppXYMf87CWLwCXumC1ulaXNYOGBKT0Z/uq3RnGzae0iV3YBs4GiVcylELcSw6i4WEf02DP3vAJzehbfgU94ZfMfUY7ivesO078r/eTNGmGBJ0i4nveVftKugJIYRoFCRZEo1GXkXZoc8TLJGkRaZAEVR6SkIWU/QtD0PBCPh8AuxbRcWnb7JvWRxR6dU0+WoX6HTYLryIzO8XYWwSnIp9QjQI7S+HiCaUPHkjeb94SNw6h7jTKwEwWH0V75T2Q0+4ap4QQojG6ZSSJUVRVgGBqrOqAKqmaa0D1L5oZA5UHEyKVBMmg5FeTXvy+sKHiYyMD21gCW1g7Hew7Ruqp01DMezHo9rAWQZmX+EASZSEqIXm3amOvgTUr1AyukPHOEhqR8yk4YRvz8XSpUuoIxRCCFHHnerIUoamaXF+iaQGiqIUB6pt0fgUVPr2xlE0X+W55rHRaF4b+XYnqqqh04VwKo5OB6cNIHHmABIOrqGQqUFCnLrU554jdsx1vj3O4n03RhTA0iU1tIEJIYSoF041WZJ3c6LeKKzyFUfQYwYgMSIMRQG3V6Oo0kVCRFgowztEFpoL4V/mDie3+bMQQgjxl1OdrP2sX6IIXfuiEfF49HiqWmChBQBGvY7olJ8IT32XVTn/z96dx9dVnff+/6xzjnQ0z5Mt2ZbkETziAQKBQImBDE0zFAhp722bNgFyk9yb2zSBpE1v0vRXprbJ7e0vDZCm4+/XMGZoEgKGJBAHMB7B4NmSZcuWJWuedaZ1/9hHtmxL8jnS3ucc7O/79dLL1t5rr/0Y21iP1lrPsye9wYmIiIhIxplVsmStfcitQNIxv1xaKrOXMNJyN4vNnaev+Qv2k1X0Jns6D6UxMhERERHJRCoDJJeMkbDTnDIn4D99Ld9fBkDrFD2OREREROTSlfZkyRjzCWPMmnTHIRe/sXiylJt9JlkqynKqzZ0aUS0RERERETlbWvssGWPeDTwC9ACeVdUTAdjS9QPyFz9Jc+x6wMnPS3PKOBKGvjElSyIiIiJytnQ3pd0GvAA8l+Y45BIwFOnHFxgAEz59rSK3HAagP5y+xrQiIiIikpnSmixZa/uAm9IZg1w6xqKjAAT9Oaev1RRUQAeMRPvSFZaIiIiIZKi0n1kSSZWx6BgAOYEzyVJtYRUAITuYlphEREREJHOlexseAMaYpplokAAAIABJREFUrdbaDemOQy5uofjKUo7/TPPZdXNWMfDEVygMFKYrLBERERHJUJ4mS8aYogSGrQdKvIxDBCBsnZWlvEDu6Wtzigogms9ANMZoOEpOln+qx0VERETkEuP1ylIvYBMcJ+KpcGwMDORmnUmWinICZPt9hKIxuoZC1JbkTjODiIiIiFxKvE6WmuIfOya5txB4N/A8sNXjOETwx8qJhudQGiw7fc0YQ8GcFxi2x9nVNpfakivSGKGIiIiIZJJUrCzdaa09MtUAY8wXgE0exyFCychHaTnWy5rr1p913eTtJ8t/hIM9zYCSJRERERFxeF0N777pEiUAa+1DwEc9jkOEsXAUgNxzziXl+ooBODnYmfKYRERERCRzeZosWWufSnCo8TIOEYCReLKUk3X2H/uCgFNfpGO4K+UxiYiIiEjmypQ+S4kUgRCZld6SB8lv/Gu6Qq1nXS8OlgLQPapkSURERETO8Lp0+I0XGFICbAAavYxDBCDm78HnH8LvOzs3LwuWwTAMhvvTFJmIiIiIZCKvCzw8CRRPc98Ah4GbPI5D5DRjzt71WZ5XCj0wHO1LU0QiIiIikom8Tpa6gcc5U+3u3H5K3dbanR7HIDKt6rxyAMZiQ2mOREREREQyieelw621d3v8DpFZWV+zgb/58Z9TV1Ka7lBEREREJIN4XeDhNo/nF5m1mqJCiOXROxRNdygiIiIikkG8Lh3e7OX8Im4oy8sGYHAswlhECZOIiIiIOLzehieSMUyknGgkl4DJOut6YU6AnOofQaCf5u41LKuqTVOEIiIiIpJJ0p4sGWM+AWyz1u5KdyxycQu0f47+oRBz8uvOuu7zGbKK3oRAP009bUqWRERERARIc7JkjHk38AjQA5SnMxa5tAUoIEI/JwY60x2KiIiIiGSIdK8sbQNeAJ5Lcxxyics2hUSA9sHudIciIiIiIhkircmStbYPNaSVFIlU/T15DHNyuJElXHbWvVx/EcNA54iSJRERERFxeF06XCRj2Kx2/DknCcfC590ryCoCoHukJ9VhiYiIiEiGUrIkAhRllwDQG+pNcyQiIiIikilStg3PGLMG2AgsBLajCniSQUqDpTAEg+H+dIciIiIiIhnC82TJGFMEPIGTKJkJt6wx5gngTmutvkKVtHpn9fv4ySu1rF5Yd+HBIiIiInJJSMXK0g6gEadE+HagKf75euCT8Z9fmYI4RKZUU1QEsVz6hiPpDkVEREREMoSnyZIx5n6gyVq76JxbLwCPGmPuAR43xnzCWvsdL2MRmU5pXjYA3UOhNEciIiIiIpnC6wIPa621N09101rbG7+v8uHivWgRsXAxfuM/71YwO0Sw5vv0Fn4Xa20aghMRERGRTOP1NrymBMc1exqFCJB18gt0D4WY+4H5590ry88hu3QLAL2jQ5TmFqQ6PBERERHJMJlSOrzz3AvxwhAiKVGVX4iNOd87aOntSHM0IiIiIpIJvE6Wthtj6qcbEE+KzCS3XvAiIJHJ+Hw+TCwfgGN9p9IcjYiIiIhkAq+34T0PPGCM+R6Tb7VrBO4C7on3YRpXFr8n4ppI5SPkVQzTPryIJSw9736AAiL00dbflYboRERERCTTeJ0sHQYscOs0YwxOD6Zzr+mUvbjKZh/D7x8iFBub9H62KSQCtA93pzYwEREREclIqSjw8DxOf6VklAL3uB+OyNRy/YUMA11KlkREREQE75OlXuCL1tr+ZB80xtzuQTwiU8oPFNEVgZ7RvnSHIiIiIiIZwOtk6ZMzSZTGn3U1EpELuLLkv/DWr6+j4R3nn2cSERERkUvPrKrhnVOU4TzW2p0zndtau/NC84u4qaagFGI59I1E0h2KiIiIiGSA2ZYO97q8t8qHS8qU5mUD0DMcSnMkIiIiIpIJvN6GJ5I5YrlYYphJ23pByHeSYM3THIoUA1emNjYRERERyTizTZaMMWarK5FMMjdQ4tHccgnKavsy3UMh6t5fP+n9QNYY2aWvMRAtTW1gIiIiIpKRZpssNbgShUuMMRuBh4GbrLVNM5yjEadseW/8UiNwn7V2xyRjvwhsAB4Ddlhrm+LP3wWstdbeNJvxklq1heUAxMxQmiMRERERkUwwq2TJWpv2GsvGmAeAtTg9nRrjHzOday3OOal148mWMaYE2G6Mucda++Qkj90a/8CY09u7moB1U7wm2fGSInXFFc5PfCGGQ6PkZeekNyARERERSau3/Zkla+3p5rXxxGnjLKZ7AmcV6fSqlLW21xhzD/CoMeZ5a23vOc88ibNdsBHYAWyy1j4yzTuSHS8uiVT8E7nlw3QML2YJhefdry0qxVqDMZZjfZ0sraxLQ5QiIiIikine9smSW+Jb+BqB58+9Z6190hjzBHA7cG5ic0+SW/6SHS8uscEmAv4hxmKjk97PDgQwsTzwD9Har2RJRERE5FI329LhF5Px80JTJTK9E8bIRcpn8wFoG+hKcyQiIiIikm5Kls7YCM62uynuNxE/ayQXryxTAED7YHeaIxERERGRdNM2vDNKOFMBL6nn4lXuyifMs2mKYhAzGT8lY8xbU9xamOxc4ljMZ3hlfz/zLt+Q7lBEREREJM2ULJ1RlsggY0zJOatPDwC3TbxmjDlsjGm01j44yRTJjpcUqsqrgFiIvpFIukMRERERkTTTNrwzEm2AOzGpetJae9MkW/ceAB6IlyJnFuOnZa1dPtkHcDiZeeSM0rxsAHqGQ2mORERERETSTcnSGYluwTt9mGWaqnbjFfW+NPFisuPFZdaPjfkxmCmHjPgPEKx5mp29P0lhYCIiIiKSibQN74xuEtiKN00BiHPnAqdZbqLvTma8zEDWia/SPRSi7n31U46J+DrILn2NE2NaWRIRERG51Gll6Yxept+Kd9Y9Y8wDxpgeY0zjNM+UzXS8pEd5rvPbPBIbSHMkIiIiIpJuKU2WjDFFqXxfkraBU8BhivuNwI4Jn6/FSaAmGz+e9GybxXhJg+p8p0hh2A6mOZJLyzPNz7D15FastekORUREROQ0z5MlY0y9MeYxY0yUCed9jDENxpjHjTFrvI4hQQ/Hfzxv5WdCAvXYhMs7gHXW2h3njifeswnYNIvx4rJI+b+TW/cvnBo5OeWYOYVOshRByVKqjIajbGrezB8++4f8+ct/TjQWTXdIIiIiIoDHyZIxphgnSVgIPAT8fPyetbbZWns7cJMxpt7LOM6JqcQYs/Hc6/Ekpgn46CSP3R7/8ZEJ1x6eYizAbUDTOaXAkx0vLrM5+wkU7mU0OjLlmNoiJ1myvmF90Z4C33vtKBv+8nl+9EoBWB8/OPQD/uH1f0h3WCIiIiKA9ytL9wOftNaut9beyyQrJ9bah4C7XHrf+KrQdGePngA2GWPunOTebcCdE88VxVeVzuuNFK9s1xVvMMuE8Q8A6+NzMdPxkh7zSyoBMMZyargvzdFcvF5re43bv38nX/rPFxkYi2CHVjNywvkr8Ogb36G5rznNEYqIiIh4nyz1WWufmvD5VAcSuqe4fkHGmDuNMduNMT3ArfHL2+ONXjdNUlBhE04xh/POB8VXl9bh9Dx6IJ7YPIqTKD05yfgHgSZjzMPGmCeMMZtwErWGybbbJTteUq8kNwcbc3otHevtTHM0F6+/2/Et9va/QnbZZv7o2gb2ff093HH5B4kMLCNGlPte1SKriIiIpJ/XpcMT/WpzxlXgrLWPcPb2uAuNfxCY8iux+ApQwqs88STqvETKrfGSWsYYctrvpbPfR867q9IdzkVpT9ceXu/cjrU+GrLez73vXUaW38dXP7CcV7/1UU7ar/PKyc0c7DnI4tLF6Q5XRERELmFerywtOufz87qBxs8rLfQ4DpGElQWrIJZD/2gk3aFclL67+98AiPSv4i/efy1Zfud/QwG/j/s+cCORgcsB+M7r/5a2GEVERETA+2TpeWPMVmPMgvjnZ23DM8bcCGwH/srjOEQSVpLrbMPrGc6cxrTWWna072AkFGUs8vYtPDEWHePnR18AYEHWRjbUl551f0N9Gcvy3keo+2pM/7vSEaKIiIjIaZ4mS/EtZ0dwzul0AXfFy4hvjZcS3wTcb63d5WUcIsmI5O4gWPMUWzs2pzuU07775j/z+z/7A1be/y3WfG0Tj77UlO6QZmRz62bCdoRYuJhPXf1ujDlvsZnPXnMzY+0f5Cc7ogyHtLonIiIi6eN5nyVr7W3Ap+LvWohzHmgdsBNYH6+GJ+K5wPGvMbD3r6jLr592XChwmOzSrTT3701NYBfQNtjG3+34P4DFZHcwEo5y/y//k1ufvpNQNHNWvxLxH3v+EwAztJpbLp8z6ZjfWFrFvLJcBkYjbNrTnsrwRERERM7iebIEThEGa20pUIrTmNUXLye+MxXvFwEw+ADfpKsZExVmFwPQF8qM0uHf3PoIMcJEhhr56/fczad/YwE5cx9n/8ArPLHvh+kOLyn9/SVER6tZX3kDudn+Scf4fIYPrp6LP/8A39z1l/SM9qQ4ShERERGH101pH4ufSwLAWts3VYJkjCkyxnzCGPMRL2MSuZDSHKdN11A4/cnSaGSUZ4/+GICV+R/hg2tq+eObllMcdv5affeN/0hneEmx1tLadB3Dzf+T310z/XmkD11RS7DqGTrNZp45/PNpx4qIiIh4xbNkyRjTgNPL6IKHK4wxVwA9wL3Ad4wx3/MqLrl0RcoeJ2fuf9A12jHtuPJcp+jAcLQ/FWFN6/kjLxFllFi4hHtv+AAAfp/hk1fcjrV+OkIH2dOZGdsFL+RQxyAn+kbJDvi4dlHFtGMXVRVSwhoAfnDg+VSEJyIiInIez5Ila20z0GOtPRJfNbrRGFM0xfBHgeettYustWVA78QVKRE32NzdZBW/znBkaNpxlXlOsjQWG0xFWNP63p6fAJAfWcMV889Ujrtj7eWYoeUAPLzjibTElqzH3tgMJsxVDWVTbsGb6Po6Z/XpQP92wrGw1+GJiIiInMfrM0vGGHMfzqrRJqDHGPNX5wwoBtYCD4xfs9beTRKNYUXcVFNQDkCE9CZLkViEN3teBeD62rMrx+Vm+7mq+jcA2HIyc6r2TWUwNMhjx++hYMlfcOXCYELP3LHqGmKRfKKM8Frbdo8jFBERETmf18lSN07S8yhwN/DXwO3GmD+aMGY9Tv+lbec8m/4DI3JJmlvoJEsxM/0KlNdCERg98jlGT36Q31t7/hmfj63ciLU+hmwbTb1HUh9gEra37wRjsZFCbrkssR7UK2tLyRpbBsDTe3/hZXgiIiIikwp4PP/t1tpF51y7xxjzGPCP8c9LAKy15x4QsYikwaKyOgYPfRFieURjFr9v+up5Xtl6pIfRkSJqgzeyYm7peffftWg+5hcLiTLKtmOtNJbUpz7IBD13eAsAgXAji6sKEnrG5zMsL1vHG2Pb2d6+1cvwRERERCbl9cpSc5LXRdKuvCAXGy7DRnPoG0nfWZktTV0AvKOxfNJy51l+H+8q+hLDRz5N8/HpCyak2/b2HQA0FCy/YOn2iW5pfCcAfWO9RGJqUCsiIiKp5XWy1DDF9cYJPy/zOAaRpGT5fRQGnUXXnuH0NH0Nx8L84PgDZJVuZl194ZTj3r3Maez68qHOVIWWtHAsTNvIfgCuqduQ1LPvu3w5gwfvpefA5+kfiXkRnoiIiMiUvE6WthljnjXGfDheDe8TxphngdcmjFkHYIw5/RVhvOjD+fuORFIkp/LXBGueYndHespy7zr5FgOBbQQrfs41jVVTjruq0Tlf9WZbJ+2DvakKLykHug4QMyFsNIebF69M6tmKgiBLK+YB8Gp8pU1EREQkVTxNlqy1D8Xf8RRONbyHAQMsMsZ82xizDacAxO3Ad8BpTgs8Dnzby9jk0hM48acM7P8qc/PnX3Cszd1NdulWDvVcsE2YJ549NH7Gp4EF5flTjqstyaV8/s/IXfy/+Iftmdmg9hctzhY8xuaxYm5J0s9fvdBJCDcfPOVmWCIiIiIX5HWBB6y1NxljNgJXADustS+M3zPGFFtr++I/X2iMieEUdnjQWrvL69jk0mJsDsR8+M2Fe/zk+AoZA04N93gf2CR2dbwFQF3+4gue8VlQXM3BSIzX2rYCn0pBdMkJhBYz2v5+FpbOJeBP/vszGxqK+I+Wf+HHfcf4Uug5CrOn3pYoIiIi4iavt+EBYK193lr70MREKX69b8LPH8TZkrfIWvulVMQlMpW8gNM/uWc0PVvbjg0dAGB5+eUXHPvOeesBODG6H2szr4hk26kCwt3Xce2cjTN6/p0La/AH27G+QX55RFXxREREJHVSkixNxhjz28aY+40x9xlj1gBYa3daa1UpTzwRLf0+wTlP0j164e1chVnFAPSOpT5ZGomMMGxPAHDdgisuOP69S9ZjrY+o6ef4wEmvw0vaG8ed74msrCue0fPFuVkU4nQgeKH53HZsIiIiIt5JW7JkrX3KWntvfBVJK0niuVjeDrJLtjEUGbzg2OKg84V9fzj1vZF3tL0FxhKLFHJtQ+MFxy+rKseEqgHY1JRZKy/H+o+zb+AXmOxTrKydWbIEsLh4OQBvdr7hVmgiIiIiF+T5mSUAY8wngIXEG9CeYz3QnYo4RBJVmlMC/TAcObdXsvdePXYAaw3Z0XmU5GVfcLzPZyjLWkg3bbzS+jofX/NbKYgyMT/c/wsCNY9RMLKI+vLfn/E875y3jl0H/olT4QPEbAyfSdv3eUREROQS4nmyFK94t3aaIQ8D93odh0gyKvOc9l+j0YGUv7sgfBWD+7/OxuVFCT+zuPhytgxs5kDPHg8jS962tjcBqMhaiM+XeDPac71/6Vr+fl8WMd8IezsPsbxyiVshioiIiEzJ02/PGmO+gLNqtM5a6wPuAkqttb745zcDfRMLPYhkgrVVVzJ46IuU9H0m5e8+0D4INsCqOXUJP3Pd/A2E+1YTHVjlYWTJO9y/D4AlpctmNc+8skL8Yafk+zMHt8w6LhEREZFEeL2XZYO19mZr7c74501Aw/jNeJW8e40xf+JxHCJJqSkswobL6B++cJlxtx3qcFazFlcVJPzMLYvXMHriYxw/torRcNSr0JISjUXpixwF4B21s0/i5uWuIjLUQFt6qrmLiIjIJcjrZOncjp5NwGT1g2e+P0fEA6Xxs0I9w6GUvrdnpIfDWfcTrHmKhVV5CT9XXRSkNC+LmIUD7anfOjiZI30tWBPGxrK4rnF2K0sAH2n4OCNH76Ln1OznEhEREUmE18nSWU1f4mXB7zDGnNtVsszjOESSUpwbILvyGah8nI7B1C1lvHZiLyanhUD+IRoqEm++aoxh2ZwCfNkd/OrImx5GmLiXj8XPT4WqaSyffSPZdQtKAdhxtIdYLPP6SYmIiMjFx+tkqdsYU2+MecwY8634tceBJ8cTpniPpZl1qxRJQqDtiwwe/DJz8uZdcGxhThbZpVvILtlGU0/qehdtPb4XgBzmkOVP7q+nr+RX5C/8W3589F+8CC1pO9qcZKnQP29WxR3GXT63iJwsH72jfew6cWLW84mIiIhciKfJkrX2IeBu4Dbgpvjlh4FFQK8xpgvYDjzmZRwiACZWiI0UEfBduAikMQZj8wE4MdDpdWin7e86DEBlcH7Sz66sdLandYwdcTOkGSuPvYvhY7/PqsL3ujJflt9Hdf0mCpf+Bf/4xr+5MqeIiIjIdDxvVmKtvRenAt7i+Od9OKXEnwZ6gIestX/tdRwiycrCKbBwciB1bcBaB5sBqC9quMDI8127YAUAIdPOSHjE1bhm4uipANHBy7iqdo1rczaWOhUC93VnVol0ERERuTilpLPjuaXBrbV91trbrLWL4smUiOeixT8mWP0jesa6EhqfbZxkqWM4dclSb6QVgBVVyfcRWl+3ABvJB2N5tTX9ycS+k06hiWU1sz+vNO6aeOLVGT6EtTq3JCIiIt5KSbJ0LmNMkTEm8Y6bIi6IFWwhu+xlBsP9CY3P9Tt/RLtGer0M67SBsQEiPudd76i7LOnnc7IC5Fhn5eXlo7tdjS1Z+zubOen7Ef78/Sx1MVl679J1WOsj5hvgUM8x1+YVERERmYzXTWnvm+LWTcBdxpj7jTH3GWPqvYxDZCbyA06y1Duammp4+zuPEwuXEAsXsWJOzYzmqM5xtu+92bnPzdCStqlpC8HK58mvfonygqBr89aVFOOPzAXgZwe2ujaviIiIyGS8XllaO9lFa+1T1tqHrLX3Wmu/BNzlcRwiSSvKLgagL9R3gZHuCI1WMHToXip6vkZO1sya4S4pXQzAsaFzW5yl1uvtTrJWnpV8oYoLqQ46v8YtJ3a5PreIiIjIRGnZhjeJxnQHIJeORItYry97P4OHvkiD+Zin8Yxr6RoGoKFi5jtUr65dz9ipjfj6bnApqpk5MuAkawsKF7o+9/Jyp5BF08Be1+cWERERmejCNZQTFD+DdG5z2TJjzAKm/vq0EWdLnpIlyThzCyuw4TIGRma2ypOsI11DANSX5894jnfWX0aocyNtfkM4Gku6V5NbukOtYODyykWuz72x4R389OArjESXYK3FmNn3cBIRERGZjGvJErAQp7nsBuBWYLxU1XT7gQxO+fB3uxiHiCtK8rIB6BkOpeR9P+t4gNwFXWTnfRZYPqM55hbnkJ/tZygUpaVrmEVVBe4GmYBQNEQIpzfV+rlLXZ//3YuWE/v32+iJWlp7RphXluf6O0RERETAxWTJWrsT2AlgjCkBXgCKgAeneawJ2HZuaXGRTOAPDJJd+Qytxge80/P39cYOEsjrp7Y0d8ZzGGNYUB1mf89+ftVSyqKqa1yMMDH7uprBWGw0yNpa988s5WT5uXxOEa+39rHrWK+SJREREfGMmytLp1lre40x7wYet9Y+6sU7RJIVOPk5ekdC1Nxcl9D4vBxLsOJFRq3f8+1eQ6EhYj6npPmaObPculb8C/IKNvHCsT4+viH1ydKWY85ZIl+0+vTqnNtW1RWwu3MPzx0e5QOrf9uTd4iIiIh4dqDBWtsLPOzV/CLJMtFybLicLF9WQuPriivGH2QgNORhZLC73dmtaiN5LKuqmtVc9cXOEcDWoeZZxzUTxXY1Q4f/mAb+q2fvCBbvJb/h//BK73c9e4eIiIiIp6e/rbVPJTJODWolE9UUFGFjzuJra1+np+/adfIwAP5YJcHA7ApKrKx0Smv3ho/POq6ZONI5RixUxYqKmZ27SsTNCzcAMOprpX9s2LP3iIiIyKUtU0qHv5DuAOTiFy3aRHblz+gd605ofDDLDzHnPExrv7fJ0v4uZxWoKFA967neMe8yACK+LoZCI7OeL1mHTw0CeFpcYn1dI0QLMCbGcwd3evYeERERubS5cmbJGHPjLB4vQaXDJQVihS8R9A8xEP5kws/4bT4x+mkb6PIwMjg6cAyAypzaWc+1sqYOG83D+IfZenw/NzSsmfWcibLWsmP4UbLLi6gtW+nZe3w+H8W+hfTxOi+1bOfWFd4X4BAREZFLj1sFHp4Eimf4rOFMmXGRjJJtChmljfahxFajZmpk1E8sXMyCitlXjwv4fQRtDSGa2HZiX0qTpbbBdkZzXiY76GNJ1Z95+q5FxZexvf919nS/5el7RERE5NLlVrLUDTwCbJrBs6WoEIRkqKCvkFGgc7jH0/dk9X2QodYbuOUd61yZryxrHidtE3tOHXJlvkRtad3n/CRcxvxSb48iXjV3Ddv7v8epUGp/jSIiInLpcCtZ6gX+ylrbP5OHjTH3uhSHiKsuC/4Xnt+zkcb69Z6+p6XbKVKwoNydnkHry2/midfnkJNzpSvzJWrXyYMA5JkafD7vSq0DvH/plXxrH8QCHRzpPkV9WaWn7xMREZFLj1sFHm6baaI0/rxLcYi4ak5+DTZSyuCod1/4D4yG6R0OA7jWYPXaeRuI9K/hRGdqG7Ye7HGq+lXmzPP8XfNLKikYvJXhlj/iwMlRz98nIiIilx5XkiVrbUINXYwxa4wxHzHGnHWIItHnRVJtvKlqz3DIs3dsanqF/EX3UTTvcQqC7iz2Lq52KtEd6hjE2tQdCTwxdBSA+qKGlLzvnVUfIjq8mN2tKh8uIiIi7ktJ6XBjzCeMMV3AduAJYLsxJmqM+Xwq3i8yU1H/CYJVP+XNwf/07B37O1vwZfURDLr3BX99eT5ZBYcZy/sleztS12+pL+K8a0W815PX1swrAWDXsd6UvE9EREQuLW6dWZqSMebbwJ04FfOagC6gHFgHPGSM2WCtvcPrOEQCHZ+mb2SM6pvmJvxMzN9NdvlLtEUWeBbXkb5WAIqy3Dtzkx3wUVDzDJGsVl5suYbLq+tcm3sqI+ERwqYXA1xZt8zz9wEsr80lUPgGuwZOEY1uwO/PlNZxIiIicjHwNFkyxrwbKLPWTvkVjDHmcWPMR6y1T3sZi4gJ1xAbC5HtDyb8TFV+KQAhO+hVWLQNnwCgMneOq/MWZc2lm1beOnXQ1Xmn0j9iGNz/NQLBblbMcffXMpVFVfnk1H4PTIzXWpu5esHClLxXRERELg1efxt2o7X29ukGxO/f5HEcIjMyp7AcgKjxLlnqGesAoLYw8RWvRMzNc3o2Hek/4uq8UzncMQg2i3kFjQQD/pS8szCYT451/rs9d3hrSt4pIiIilw6vk6VES4j1eRqFCBAt/CXZFS/QF0q8Z1JdUXxrnG+McDTsSVyD0VMANJa4u1VuSZmzynJq9Jir807l0CknoVxYmZ+S942ry1sKwM723Sl9r4iIiFz8vE6WEi3DVexpFCJArOgFgpWb6A8lXgygtrgUa52cv32o2/2YbIyIcea9vNLdc1FrapYAMGzbXJ13Kj8++s8Ea56ipPRkSt437orqVQC0Du1P6XtFRETk4ud1slRqjCmabkD8vrfdK0VmqCQ3CLFcAI71nXJ9/u7hfiIjdcRCJayscbc30TXz4kUW/EO09rsf+7maR14ju3QrJYVjnr9ropsXbgBVCIgLAAAgAElEQVRg1HeEgVHvSryLiIjIpcfrZOkR4AVjzKTfMo/3W3oB+LbHcYjMiDEGX8zZVna83/2Vpd6hACMtn4Jjf0p5vrsNZKuLiiDiFKh4pWWvq3OfK2ZjjFpnRWntnCWevutcG2ovg1g2xj/G84feTOm7RURE5OLmaTU8a+0OY8wTQLMx5jCwY8LttUAj8KC1dpeXcYjMRtng3bR0hqi62v3eQcd7RwCoK83DGPcXWBfEfo89zWGiy90tHnGuQ93HwBfGWj9X1aWmx9K4gC9Aka+efg7w4pGdfHjF2pS+X0RERC5erqwsGWMem+qetfZBYH38XbdN+DDA7dbaL7kRg4hXKnPqsJFSBkbdn/t4j5Ms1Zbmuj85sLriKmKj8znWFfFk/nGvHXPOC/kiFZQXePNrmc775n6KwUNfZKhrVcrfLSIiIhcvt7bhbTTGFE5101q7w1q7MN5vaR1Qaq1dZK19yqX3i3imODcbgJ5h98/DfL/l78lfdD/hvJddnxtgYWUBAIc6vCt9DvBGh9PLqcDn7QrWVG5evBYbLmNXax/WJlpXRkRERGR6biVLpThnk9ZcaKC1dqe1VqXC5W0jFjxAsOqn7Oj6petznxo7gS+rl9K8bNfnBphTZskqeZXXB5/0ZP5xh3ubAKjJdbdIRaJWzC3G7zOcGhjjRJ8HS4AiIiJySXKzwMMO4G5jzLPGmE+4OK+IK/ynPsnQkU9RlTsnqefG/M1kl7/EoYHtrsc0EHGq1NW73GNpXG1pgJw5P2Aw9xmGQt4lEV0jTu+qxpIGz94xndxsP3Xzd5BT+2/8dJ/7v08iIiJyaXKrwEOTtfbu8U+MMb9tjHkOOAw8rAIOkgl8ofnERkIE/TlJPVeSUwLDMBjudzUeay0hugBYVjHf1bnHLa+qw8aCGN8YW1sPckPjSk/e4+/8PQY6f5P3XLnBk/kTESjcR1bkLTa3buWTXJu2OC4mu0/t5sCpU7yws5jOgRDXrRglWHSQO1fdme7QREREUsKVZMlau+icz58CnjLGNAB3GWMeAJ6w1n7HjfeJpFJ5rlN+eyTqbrLUOdwLPqcn0coadxvSjvP7fQRj1YR8R9l+Yr8nyVI4GqOlaxhskMvnVLg+f6IuK11Bx6nXOdS3J20xXExiNsafbv5zmvsPMXL8DqJDC9kTfAjjC/POue9kecXydIcoIiLiOU/7LFlrm62191prbwF6jDGPG2P+IZGzTSJuixb8mqyyXzEQSu7IXFW+kyyN2QFX43mz/QgANlJAXXGxq3NPVJrtbPHb23XYk/lbuoaJxCx52X7mFCe3auem6xY4JcP7Yk2Eo7G0xXGxePHYizT3H8JGgywqXMfvX7WSyMDlgOUb276V7vBERERSwuumtKdZa5+y1t4O3AvcFD/b9HljTFGqYpBLW6z4Z+RU/4TeUHLNZWsKygGI4G5Fub2dLQBk2TJPeiyNm1dQD8CxgSOezP/9/T8jd/4jVNRu8fTXcSHvblgHgMnuYNvR42mL42Lxndf/PwAife/g2x+7jv/1gctZXXArAFvaf8XJoZPpDE9ERCQlUpYsjYtXwnsYeB54EGfFaco+TSLpNrfQ2VpmzbCrZal7hyyR4QUU+xtdm3MyS8uc+btC3iQQuzvfJJDfRF5+ckmo2yryygnaagCeOfRKWmN5u+sb62N391YAbpz7Aeor8jHG8JVbbiAyXA9Yntj3n2mNUUREJBVSmiwZY240xjwL9AD34zSmbcZJnEQy0vxiZ2UJE6NvzL1zS7mR5Yy0fIqriz/p2pyTWTt3KQBjtBGLub897figs0K2oLDe9bmTtSDfOZO1rX1bmiN5e/t5y4tYYkRHq7nrmqtOX19RW0yN7xoAnj6gZElERC5+nidLxph6Y8x9xpguYBNwE06S9CiwLt6c9lGv4xCZqarCQoaa/juDB+8lFg26Nu/x3hEAaktyXZtzMlfPW8ZIy90MHv4CnUPuN9btCTsrVpdXLLrASO9dV3cVNhbgRF+vmtPOwlP7ngUgN7yaVXVnn6f72PLfxFo/naFmmvua0xGeiIhIyriSLBlj/mSSax+JryIdBr6I07h2J3CXtdZnrb3bWrvTjfeLeCk74CPXzsNGSugbibo277Ee5wxUbam3yVJhTg61uZdjo/kc7hhyde5wNEzI1wHA+tqlrs49Ex+/4reINH+N3mMf5GCHu2fMZiMSjfFvrxzhL3+8h6ZTmRPXZGI2xr7e3QBcW/uu886h3XbFUmLDDcTChWxvbUpHiCIiIinj1srSXXDeKtITOKtIfTirSAutteu1iiRvRyV52QD0DLu3MrM38AXyF91PIOj9WZ+FlQUAHHb5C/XXTzZhTBQby2JdrbdnrxJRnJPHhgXOuaXNBzvTHI0jGovy8Se/zVd+uJvvbG7mQ//vrznY0ZXusKZkrSHa8mWGmj7LbSuvPu9+aX42q4OfZejQl+nrSf/vuYiIiJfcSpYWxhOkw8A9nFlFus1aWxZfRdJ+DXnbyi5+nWDVT9lx0p3+yoNjQ1j/AL6sXpZW1rgy53SKS44TrPoxm479yNV5t7TuAyArVk1Olls9rmfn2kVOQY5fHcqMam3/tOtH7Br9B3Ln/ROFuWHGSh7nvz7z8YzdJrjvZD89Q1HyWMBVDZP3zXr3knrA8OKBUymNTUREJNXcPLNUirOK9CBnVpGecnF+kVnxd/4Bwy2foDIn+eQkkrOb7PKX2Nv9piux7B7vsRQNsrC80pU5p5Od10F2+WYODr7s6rxHe3qIRQopDtS6Ou9szK3uJK/hm2wd+4uM6Lf07289DsDCosv45z9cR1bxDoZo5pmDr6Y5ssltbXZWOtcuKCXLP/k/Edcvcf7MbmnqpH90JGWxiYiIpJpbyVIvcGt8FelerSJJJvKNLSQ6vIicQPJnhAqynHZgXSM9rsSy55RTQc4fK8Pv87430aqqxQAMxtpcnTdrdB1DB/+UW6o+5+q8s3HVvEb8OScxOa388lB6z9R0DvfQFd0DwN1r72DdvHmUmw0A/PPr309naJOy1vLI4f9JzpwnWFE39T8Pi6oKKJ/7CoGGr/NXL/9DCiMUERFJLbeSpSZr7dMuzSWScYqDTkWw3rE+V+Y73NMKQJ7P+1UlgKvnXQZAzN9N97B755bGC0YsqSpxbc7ZqsqvpMDUA/DEnvR2Jfj3158DE8OEanjvZSsAeG/DewDYP/Byxm3FO9J/hAF7mEDR61zdOPVqoTGGxopifIFBdrWrTo+IiFy83EqWHnZpHhHPxPK3klWyhcFw8r2SynNLARgI97oSS+uAU267NLvalfkupKGsGqK5GGN55eh+1+Y9FC8YsbCqwLU53bChyukFtOOUu9sOk/XrVqff07zc1adXEP9o/c3YWICYv+/0ma9M8asW50yeHZvLhgVV0469pnYdAG1j+4nZ9G93FBER8YIryZIq3MnbQbTkR+TM+T49Y8lXIqvMKwNgKDLgSiztw852uOr8Oa7MdyHGGHJx3rXz5AFX5mzp7WC4+qvkzvtH6stzXJnTLXesuBmA0cBe9p90J8GdiZYhJxlaXbXq9LXK/AJyYwsB+P7eF9MS11RebX0DgBJ/PTlZ/mnHvm/pFdhYNjEzwr6ug6kIT0REJOU8b0orcjGoKXCSpbGYO8lSbKyK6PACFpUsdGW+RFQE5wFwoOuwK/O9cnQvvqw+snI6KcnLrGTpqrlr8NsCjH+Uf9v1UlpiGAmPMsIxAG5qvPKse0uLrwBgW/trKY9rOgd7nVXH+qIL98xaXFWCGZsPwDMHX/E0LhERkXRRsiSSgNoi52xRBHeSpWjPRoZbPsVvzHuXK/MlYn7RAgBODB13Zb7X250VqnzfXFfmc5Pf52dZ8XoAXjz2y7TEcLR7jKEjdxHt+DDX1i8+697NjdcSHamjt7cqY84tWWs5FXIKYqytWX7B8T6fYW6uk1Rta9vtaWwiIiLpclElS8aYjcaYw8aYGXdKNMY0GmMeNsY8EP94whizdoqxX4zfv3X8nfHnHzDGbJrt/JI5VlcvZaj5swwd+TSRWZajttZyvMcpt1xbmnxlvpl6f8OHGDz4ZXxdd7gy36Ee5wvr6px5rszntjuWf4Bw32pOtC3gRG/qy1u/cayf2Oh8lhe+h6zA2VvabltxLeFjn6Xr+HW09mRG6e22wTaiZghrfdzQsDKhZ5aXO4VDWgbd2dopIiKSaTKji+QsGGMeANYCTUBj/GOmc60FXgDWWWub4tdKgO3GmHustU9O8tit8Q+MOV0CuglY59L8kgHmFhVhx2qxFrqHQ1QVznzbWXv/MGORMMb4mVOcumRpzdxabOQARzqHicbsrEuWtw23gIHGkgaXInTXh5bczH/8opAtw908vaOVz9y4+MIPuejN407lxNV151cKzM32s7SmkDeP97P7eB/zyvJSGttkDna1Ex2rwtgAy+eUJ/TMNfPW8MzRBiImddtJRUREUultv7Jkrb3HWnuTtfYuYMcsp3sCuG88kYnP3wvcAzwaT2zO9STwPE6C9CRwl7V2Yfw5N+aXDBDw+yjLywagazA0q7leOPIKBcu+QlHDP5IdSN1fwbkluQQDPkLRGK09w7Oerz/mnMdZN+fyWc/lldvWO6teT25vTWq7Wyxm+cW+DnqHZ/57/WrXD8kqeY3aislXIlfWFoMZ45WjmVEcYWxoDsNNf0zdyJcuWNxh3PWNyxg5ehenjm5kcCzicYQiIiKp97ZPltxijNmIsyp1XmOW+IpPCXD7JI+OJ2sLrbW3WWsfcXl+yRB5ZTsIVv2YN9pnV+75YPcxjImRE8hyKbLE+H2GyrrXyKn7V549tGVWc53o78b6ne8HvKs+sS1b6fC+lTXk53dzwvc0Lx1KvCHvHz++i4//81a+sWlm28ustZwwPyBnztOUFY5NOiZQuJuCpV/l+Y6/m9E73Hag3TmPt3xO4t+zqSwMUlOUg7Wwty35kvwiIiKZTsnSGTfFf2ya4n7vhDGZOL9cgL/rdxg+9ntU5EzfP2Yq4bytZJdvZl/37PoUtfQ5BRZKsmYWx2wE81vIKtzDtpOzayT6+vE2IsP1mPAc5pUktmUrHXKyfOQv+C7Bil/yt79+KqFnDnUM8uOmn5C/8CGePvr3M3rvsf4O8I1ireEd85dMOuaquqUYYxmkhWgsOqP3uGn/SSdZWlxdmNRzK2qLwTfKr5rd698lIiKSKTIiWTLGFKU7BmAjnN4WN5km4meTMnR+uQDf6GVEBy8nN5A/o+fzA05j2vahzlnFcbrHUl5qeixNVF+0CICmvkOzmqerr4CRlru5wveXboTlGZ/x8eHFHwHg4Miz7D85/epHLGa556k3MP5RfNldVBTPbBveq0f3AmCiZVQXTp58/MbCFdhYAHyjbG1N71a8aCzKS2OfIa/+76kpDSf1bEHZHgqXfpXvt/6NR9GJiIikT0YkSzhFD9KtBGd1J+nn4lXxxqvbPWyMmSzpmen8UzLGvDXZB6DT1h4oznJWUDpHZ5cs9YbaAZhXVDvrmJK1umoZAF3hllnNM75la1lNcqsQ6fCJ1XdgCODPa+HPnv3BtGO/vfkNdp3aOut3vt7uJD/5ZuqEOD87h2DMKbu++Wh6S28f6z9OzDeAL3iSNXOTKwW/fq6zctYXPULMzq5SpIiISKZxpRqeMebGWTxewiwq2LmoLJFBxpiSc1aHHgBum3htvHy5tfZBF+YXl8TydhHwjzIUvgJI/ov88txyDo5B71j3rOIYjnWCHxaVpb7k9nULVvLoAQj72hgcG6MgGJzRPHtP9gCw9G2QLFXmVfLeBR/ipy1P8ubw4/x87y3ceFn1eeN2Hu3h7994gLwFuzGxHGbT/ehwr7PbtuoCZdXLs+fTFjvKW6fSW3p7S+se5yfhShaUJ/d7euPCFdz/RgB8YxzoOsKyikz437mIiIg73Cod/iRQPMNnDczq6xK3JLryUzZh3JPnJETjHgAeNsY8b60dr9A3k/mnZa2dtHNkfHUpc0uUpUm09Cly/UN0j30QSL6RalVeJfTCYGTmyVI4Gibi68EAyyvrZzzPTK2qaYRYNsYXYvOR/bxn6aqk57DWsi/rHvIXZlNS9C0PonTf56/8FM+2/BDyWvjjZx7hJ3P+hNqSM2XbD3UM8odP/x3+0t0Y/KwouY7d/ZO2SktI27BTKbChuH7acQuKGmnr3czRwSMzfpcbdp5uMFyLL8mS8nNLCvBF5mCzj/HikdeVLImIyEXFrW143cBDwM0z+Lgdl7enzVCiMZz+SnliCfBzjFe8+9Js5pfMUltYCcBorG/Gc5wcGCDSv4rIcD3Lq+vcCi1hfp+fXJztf6+2vjmjOfadagP/ACarm3V1C9wMzzNVeVV8es1nAIiU/JDbH32OnUd7GItE+eGu49z6r48QLnkagP+2+jNU5cxuJ+tApAOAJWX1045bUelsYesOHZ3V+2ZrvMFwTe7MVjtLAs5zb7SryIOIiFxc3FpZ6gX+ylo7o9qxxph7XYpjNrpJYKtcglvkxhOetR7NL2kwv9jZuhVm5slS76Cf0RN3UFkYJD+Y7VZoSanOrad5pJXm7lMzev6lI28AEIhVUJwzs2IZ6fCHK3+fF47+nMNH6zjeFeDD33oZX2CAQOnLZFf8EmMsN89/P3et/iP+Z9vsVszsyU8wHO7gqhvWTDvuuvmr+NbW9YTH6ohEYwT86TlG2j7cClx4JWwq8wsa6Bl+mab+wy5GJSIikn5u/ct820wTpfHnXYpjNnpxtspN5ax78WIOPcaY6facTEyOkppfMs/yqkUMNX2W0SP/I6kGpxONN4OtK829wEjv3F7/aQb3f41w71Uzen7HybcAKA3MdzMsz/l9fv71fd/l+Y9/nQ9fUUvAZ8iufIZgxS8wxvLBhR/mgev/EmMMOb58YmMVZM/gr+VwKEJPfz7RkQYWV1VOO3bN3Hp8nR9ltPsdtHTPvlHwTA1ETwKwrHxmW+guq3BWyE6NpXeFTERExG2uJEvW2uZknzHG/LYx5n5jzH3M/LyTm7aBU2BhivuNwI4Jn6/FSXAmGz+eJG2bxfySYeYWFxIbqyUcKqR3OLnyyuOau7uAKHWlee4Gl4TVddWAj30nB2aU9B3sdZryLipZ5nJk3sv2Z1Ocl8U3PrqG3V+9hd9aPZ/l5cv5xg3f4Ovv/BoBn7PYfnnRDQw1/QmL/P8l6Xcc7xkBoDAnQHHu9I2HfT7D4uoCAA7GKwymWjQWJTY6l9hYBVfMndn2w3fOW0Wo50qiPde4HJ2IiEh6pa10uLX2KWvtvdbaL3H22Z50eTj+43nfWp2Q4Dw24fIOYN2EAg4TbYz/OPGEeLLzS4YJBvyU5Ttb59oHRmc0xzMnHqVg2Vfoz37+woM9sqS6EL/P0D0Uoq0v+V9HV9g537JhTvLFITJJbrafB2/4Ot/7ze+xccFGjEmusMFUft26k+zKn1FWmViFu4aKLHzBE2w/kZ6KeIOjMfpbfp+hpj9hRc3Men9dOb+esZMfoad9PV2DYy5HKJPpGO6gZ7Qn3WGIiFz03DqzNC1jzCdwev9MtqqynhQWNYgnJuuttWd9tWqt3WGMaQI+yvkrPLfHf3xkwrWHgbsmGQvOtsKmiZXyZjC/ZKCC8l0M5Texva2MZTVXJ/18d6gdY2LUFCRUSd4TOVl+qhdsote8zlN7DJ+95n0JP3usp5uo/xQGuGXxOu+CfBvb2b6TYMUvgcGExvcHnye/8Xv8quNdwPVehjap5q4hAKoKg+QHZ/ZPQl52gPlleRztHmZ/+wDXFMysJL0kpq1vhPtf+9/88sSPuab2Gj6/7vMsKl2U7rBERC5Knq8sGWO24SQB9+AkF+d+bONMsjBb46s20x00eALYZIy5c5J7twF3TjyHFE+uzuulFK+E12WM+eLECYwxD+AkgJOdw0p4fnGfv/s2Ro7fQVlw+nMk04nm7SC7fDN7OvfO6PnhqFNUYWFp6ivhTVRQMIA/eIotJ15P6rmdrR2E+9aRFVrGgpLzexVdLPb2v0Rewzdpiv5H0s+eGDoBQHmwJqHxC0vrAegOnUj6XW44fMopWFJfMbtiHYuqg/hyjvPrljfcCEsmsNbyg0M/4OcHjvGb/+dXXH3fz/nZWyeJEWPz8c3c9p+388NDP0x3mCIiFyVPV5aMMV/AWTVaZ63daYz5JPC4tbYvfn8jsHH88xm+406cpKuRM0nS9vgqThNw1zklvjfhJDPbOEd89Wcd8ED8+S5gA04ic96+KWvtg8aYW40xD+OcUyqJv7NhssQn2fnFXb6RVUSGQuRnFcx4jsKsUvojcHIo+Upy1loixllEXV5VP+MY3HB52XLaOrbQ1J9c0tfS4Wes7Vbesyb5PlVvJyOxAfw5JxmlK+lnO0faAZhTkNiWtpXVi3isBUZoT/pdbvj/D3+TgsUv48/7GJD8auk4W/hr8hv+lefaruQLzKZPuZzrn978J76x4xtEBhcxcvzj+Iyf0uHf4VT3u8iu+jEU7uPPfv1nRGIRfnvJb6c7XBGRi4rX2/A2WGtvnvB5E9AA7AKIJwjPG2P+xFr71zN5gbX2EZLYvhbfGjdZI9nx+00kUZ3PWvskTlPeRMcnNb9kltJgOccj0DmSfLLU3HMSfBGsNayqSW9/ousWXMELHdBvm4nGLP4EG5HuPu58X2NlbSbUZMlMA5EO8ENDcWKrh1fVLYHXAP8AbQM9zCks9TbAc3SMtGICw9QUFs1qnuUVS9g2kP6eURebV068wjd3/G8AokOL+diVDXzhlqWU5WfT0T/K3zy3hh8c+xbZZS/ztVf+grrCOq6aM7NKlyIicj6vt+Gd27S1iTPFDyZy52S1yDRiOW8RKHyT4cjQjOeozq8CoDeU/IrDG+1O0UgTLaYwJ2fGMbjhpoXrsdZgAr3saE38i9vX2/cDUVbVqdL9VMbiRzAXlydWWr2msBSizmrna8dSX+RhvGz4ZZX1s5rn6vnLAQiZDkKR0GzDEmAoPMQXX/xTLDFCvev53IY7ue8jK08XmqkqyuGBW1fzp1fdS7hvDZYYn3vhi4Si+u8vIuIWr5Ols+oSx0uM32GMKTxnXPpOu8slI1r+PXLr/p2u0Y4ZzzGv0NlaNRRNPlna3+kkJUHKZ/x+txQFCwha50zNc4e3JvRMS3c3Q5UPULD0f1FXPrM+Uxe7sXAI/E4yvrSiNuHncnHOf+3uOPf7S94aiYwQ9Tk7hq+Ys3hWc62rrcfGssHE2HVSzWnd8Ldb/47e0ClioTJ+q/a/8akbJi/t/nvXNPDpFV8i3L+SzsO/y/62kRRHKiJy8fI6Weo2xtQbYx4zxnwrfu1x4MnxhMkYs4bJV5tEMk5jqXNWJ2STL9k7OpJPuG81NdmZUXK7NtdpJLqzfXdC43+w91WMsQQoZG5R+hO+THSouw0Aa/00liVeSKQs6CThh3qSblk3K2/FkzMbzWVFzezOoeVkBQhEnZXXbcf3zzq2S92x/mM8cdDpJlEyfAdf/+Daacvbf+Y3LuPGss8THqnlfzy2k5FQNFWhiohc1DxNlqy1DwF345zRuSl++WFgEdBrjOkCtqP+QvI2saTCOYcS8/czFkmuMW1kuIHREx/j+qrf8SK0pK2pWk10tIaTPYn9b2DzsdcAmJtzuZdhva1Fw4UMHvoi2R3/nexA4kdCV5dez1jHe/CNLPUwuvPtbHNWgPzRCnKz/bOerzjgrKbt6Tw067kudfe9+k0sUSKDS/ibD9xOTtb0vz/GGP6fD62kuihI06khvvrTXzEamVk/OBEROcPz0uHW2nuBUmvt4vjnfcBa4GmgB3hopsUdRFJtUdkcRpo/y9DBL9M7HEnq2ZbuYQAWlM2uRLNbPrvh9xhu/hytLevpGbrwGYfmwTcBWF998fdXyjZBYuEiskiucmLXYAQbLmNOTnJb2m6Ydz2hrhvo6k5tOfZD3c7W0AJ/lSvz1eY7hUuO9B9xZb5LWe+JGwj3r2J90e/yjsbEVnJL87N58NbVZJW9xE96PsffvvYdj6MUEbn4eZ4swekE6azPrbW3WWsXxZMpkbeFYFYWZVmN2GgB7f1jST3b1HMMiLGgPM+b4JJUWRhkSbWTDLzaNP0ZrK7BYUb9zpat31xyjeexpduK4o0MHfoyi/1/kNRz7f3Od/Kri5Ir4NFQ6STQzZ1DWJu682DhUCGRwSXMyXFnRevK6msYbX8fWcPvcGW+S9Wbx/t4eZ+PcNvv8rX33HzhBya4fkklq2rmYXxRHjvwz3QMzfyMpoiIpChZErmYzC3JBeBEb+KHqAdDI/SWf42CZV+htDC5FSkvXbOwAkyEFw4enHbcU29twfjCmFge62svS1F0bz+vtr9IduXP8OclV6hhQVk+vux2hrN2cbxvxm3nkhYcu4KRY3/ItVXu9Oa5bsEVhLvfxcmOxHpMyeQeeSn+jYlVc2isTL4v3Dfe/3FiI/OJmTG+8uLfuR2eTMFaS9dIF819zTT1NjEcHk53SCLiAq/7LCXEGPOstfaWdMchkoic4n0EQ1vZfHyY96xIrGXWrhOHMcZiYwEWJnHw32t5pXsoWHIfP+9aBLxrynHPNr0EwJzgcnxG32OZysGB1whW/JJQILlkITfbT379o+AfZOvx66krSc3KTGuPk/DXlbqz2tlY4Xxh39Y3yuBYhIJgRvwT87byza2PsOnUy/iyr+fOd107oznml+fz3to/4Nnuv+Dljp9wYuDTzC1UAuuFofAQz7c8z6aWTezq2EVf6Mw3O/5r45/xvsb3sLCygDBD9I72Mr8osZYC4q7jg8fZ0raFI/1H6B7ppm+sj6iNYozBZ3x8bOnHuKbW2TUxGhllMDxIeU75tEVVxF0xG+NI3xH2dO/h2P9l787jqqzyB45/zl3hsl12RDZBcV8Ct9QyFdprWkRrmppsStqmaZrSrJlqthqdZpyamiaQ1dgAACAASURBVF9gTU01lcnUtExWYqktWgruigu4AMrOZb1wt+f3xxVzYec+gHjerxevEs5zni+IcL/POef7rSukqK6IUO9QFoy8j6pGG80OJ49tSqfBXsfRusJeja1Xf5MJIVrreiiA+N6MQzo/aauvo8HWRKCxZ5XcHIb9GIK+Ic8SRGf7C28rdT8p1rtC0Wr7T7KRMnQ0bxTYsekOsrekgpERIWeNURSFo4VDaRaXcc3FbSdUA8m+um8wxb7FIed43EcsO6fG7t7OGO7T9YTYS4TSRD17K45wPb2TLBVWu8uGRwV6e2S+QB8DQQHV1LoK+f7oUGYP692CFec6p8vJW3vfQhdQSbzvBEZHdr/58xMpP+Kz198ErwIeX/c8r17zjAcjlQDWHl3LY189flrvPkUR4DICgowvS/jH/75GIyBuyA7KjW8xLGA0d43/KSmxKeg1+r4LfoArrCsk0BiISefDvtI6XtvxGZ+ULG9z/JdbBhPgaiLUz4jedx95LMek9Wdk4HhmRE9iauQkRgSNQKeRD4A8yeFy8OaeN/mm+Bt2VOw8qw+m0xrL31b9cAbYZ1gBGl0j9l7uJafq3/qJ5GgFMFfN+0hSZ2gak7E32PDVt5azd16ETwT7rFDZVN7paw5UuktC++sienRvT7sgYiR6JRi7ppJXcz9n2ZVnV+rbfayW8ioz3voU7kxKbWWWgafBaUFrOoqVrhVcsDqrQQtR/l3/ew7QhdPkOsRhS1GXr+2OuuZ6KkMfxjfQRIjfao/Nawj/CG/tHr48GiaTpS5ad/RrrEolitObh6Z17kFMW/y9DVwft4D3S37DlsrVHKm5n9iAzvf+ktp3tLKRVd84aLBbUezB2GuScNQnEmmKZ5C/LwadhvpgJ0dpoLrRTlHdMQwGDQdqdrNowyIC9GH8cuL9XDf0WrSanleilNwvvD8//Dlv573DtvKtDNfdzsH8sVga7WiMLoxhw3DZQlEcfihOE4qiBRSEcOFoGEy93UqxxYrefBhjhKDRWUtOxVfkVHzFc1vBIHwYG3QhD02+m3Fh8mdbd9U01xBgDKC0tom1e0t5Ie91mnG/nlJcepxNg3HZQlBsQTib3S0tfAxad8XWyoUIjQOcTwElvRaz2inyy7gfy64ALG2MCQTuVDkOSfKYGP9BUAF1js4nSy1LxmFe/evFihCC8UEz2FL9AV8fWwecnSyt3uXuHTR9aEiH5YvPd7YTP+aGmLu+5SnMNIjSejjWUOzpsFq1u/yw+38ExAWZPTZvqFc0DfY9vd4zaiDIyH0HAK/mycxK7FnfK4DHZl/DB6++hlN/lJc2ruOZy2/p8ZznM7vLzpbjOezKD+PZz/fR7HCh8bqXadHjmDsnhosTQwnyMZx13TGLlfX7x/Lp3h+xqeJ/6MybqKGMpzY+wYu5r/DrCx9hduzMPviMBgaHy8H7B98nY/sKShtbet0JdpYepLlxBCaDlqTosYyOnE5CmC9RZm/MJgMBJj06jcDudGF3KlQ32iiva6a0djT7Sq9jZ/lejjTswqbLR2s6jE3bQE5lNmkvjWFKVA2pI8OYlGAkISRErhJ2wOFykH00m9d3/5uD1QUMrn2arUfrAdCbp4NwoLMNY3z4cMbFBjE01Jf4UB8GB3oTaDKc9dpj9KvPs6d04CRLZkVRhnY0SAgx8GsRS33OZTyAlmasjomAX7fnSQyJgQJopqLT15Q3HQMgNiC62/dVy4/HXMGWrz6gVmznYFkNQ8N+2PrjdCm8vX8FOr8Qrh5/cx9G2f81OWygdf/wHxbc9aQ41j+KnfVQ1dw7vwB2lx4GQOsKQufBraFx/nEcroRjjUc8Nuf5oKqpir21G0HAjxKuR6Pp+VkJL72Wu0Yu5i+fHmVNcTBPzHZ6pJ/W+aimuYb71/6CbWW5NBYuwOlI5ML4YJZcOZ1xUe0/bIg0e3Pz5BhunhxDWe0M3vr+IK/tfguHXzblzUd46PO/8NTEBH40YbA8I9NF3xR/wzPfLeNInXuru8vhg716GmbHdK4ePZIrb4hgfLQZfSd+xg3h1LYecUASiqJQVG1lU0E5awq+Z1v5Zuoaw9mwv5wN+8vxGvQuXv4HmBA0iwcn38aEQXLF6VT1tnqy9mfx2q43qWwuBdyJ7Pby3QgRy4RoM3NG3MbFiaGMGuTv0d9FnqR2srSmk+PkZmpJdc6Q1zFpG6homgNd3F51qgnhCQAo2lpqm6z4e3V83qPeWQpaGB4c1+37qmVW3BR0GwJw6GpYuiGLFXN/dvJj/921C5vfGrz9FcbFyafS7TlS7S7RrCgahnSjiMewoFg4Bg2u3in1fLDavdrpo/FswZHRYUNZVwk1jmMenXege2Xrf0A4cTVFcc+07hV2aE36tCms3GilsMrKG5sOs/DiBI/Nfb6otFby00/u5Ej9QRSXAS+9wm9uGMv8SdFdTm7C/L14MGUM6Rf/nlc33syKnSuoKR/Pg/nbee3bIyy6YgiTYkPRa+VKRUfqmmz8et1yKhwFKA4TzRWzSQq8nJ9dMZw5I8PReuCBgxCC6CAT0UGxpE2MRVHmkl/eQPbeUtbsOU6e7ghOTR05lg+59fMPCWA0c4fdzH1TrkavPX8fTFgdVv69521W7HiFRmct0JLITiVGN5t5s0Zz3YTBhHWxzUZf6S8pXE5fByBJnRVjDkVx6RFCYdvxjrcauVwKzZbx2GvGMTFyRC9E2DU6jY7U6B8BsKniQ+qa7Cc/9tKWdxBCIVQ3inizrOLUnsMW91Mz4fTBqOv6c6ix4UMAcGqqcDhdHo2tNYW17u1+QUbPNsKdMtj9ZNWhqcBq71ovsvPZx/mfADDMdAkhvkaPzavXanhgtvuA9D82rqW4tvPbhyUobyznxx//lCP1B3E5fAmq+RX/XXAXN02O6dEqkLdBy70zx/LtwuU8NPNiTAYt2wotLPjv75nx5tWsPviNBz+LgUVRFD7fXcJly7/i8L6rsVXOYJTzad65aRErF87k0tERHkmUWiOEYGiYL3fPTOA/98xgzbyPuSb813jbx6Ioghp288qBX5P8WgoP/u/lTjV8H2hcLoV/fr+R57Yup9FZi6s5BHvpXK7wf4H3bv4ta35xDQsvTjhnEiVQf2UpSwhxp6IoHbURXwVMUjmW84rD5eJwddtPqAMMASdLQDfaG2h2tv2ixt8YgFZoT461OtvuLxRgMJ+sFtNob6DR0XafiQCj+eQ+30ZHI432hjbH+hsCMGgNJ8fW2+ramTcAo9b9j9DqsFJ7spSrZ16AajQa9K4QHJrj7C0/zMVDRrU7vqS2CWvZHHQawdiI/rcND+ChKbexYX8ZpcVJ/C37AL+5ehQf78rnuJKNABaMu6mvQ+z3TAym/uAiYkK69zRxbHgc9vIrcDQHUmypJza4Z4VIOlJmdW/3i/DxbEnpsRGxKC4DQmNjS/FBLoob7dH5ByK700lN9RCcxhpum3Ktx+e//oLBLNv8J5pMG3hs7XH+df2THr/HQFTTXMMtHy/guPUILnsA8Y5f8Wb61QSYPLfq423Qcv/sYcybGM2yz3ew2rKdRupY9M3drMidxYtXPMEgv7OrlJ6P7E47S7/7C9/m17Bnt3v1NSowht9ecQVzRnr2oU9nRQb48vTl83ma+Ww4lMffN/+LvPq1KLoKPtm7i9Ub13Lt+EjuvCie4RHd3/7f3ymKQmFdIQePGVn26T7ySqwYw6fircSxYOwN3HZhvEcfAvU2tZMlBTgkhFgJbAYKOLvQgxlZOtzjDluOc82Hc9r8eP3+X6M43T1RjBH/xRC4qe2xBxajOALdY8M+wRC8oc2xDfm/xGVz/9AyhKzBGLq27bGH7sPV5E4eDEHrMYa3XZGr8chCnI3ubxN94Ea8Ij5oe+zR23E2uFdwdAFb8I7Mcn/AgyviIzT3s2m/FZ/h7SdKAAfL3OdYYoNN/XY/boRvOE/Pepg7XtvCK18forqhmTUVyxG+jfhrI/nxaM+/gOvPdEKH4vRGq+v8D3dLowvFHkSEV1C37umlNxChXMHhukaOWezE9qzCfYdq7KXu4g4BUR6dV6fVYHCFY9cUknNsn0yWOuH7Q9VYiucQ4H05V4/2/JkHnVbD9SNn8vaRDeRaPuZY7c+J9O/e9+n5osnRxM8+vfdEouTPaPEor91xOSaDOi+bwvy9eHbuZOYdeZeH1z5NtfYrDli/5NJV33ND3N08ecltaDT98/dHbyhpKGHhZw9wqG4viiLQeQ3nrqlTeWD2sH5zDu/iISO4eMgzVFvreXrD6+yqjWevw8mqnCLe27uOxNgqHptxJxcl9M+Hpt1VUFPA4+v/yO6qrdQd/BWKw4yfUUf6+EUsmD4EnwHQb0/tz6AAd8Ik+KEhjXLGGNHK+6T+RJz+16MonV3eFihK5364K10YiyJOlPxs+76nxeD6YazeFcmkwYmdu087hgcnsHHfYY5Wtb3K1iKnOB+hqyYhtP80o23N7BHhpM+MJ2P9QVZXPoXOtwAUwZ9n/f68K207LuAystZFMXxs51ddKuvdq7M9eXoWHWTicGUjhdWNXIi62ZJiHYrDZWB0aIc1eLos0XgDW45UQkysx+ceiD7c5j7fdeXYCAw6dV4QP3LRjbyb/zJO3XEeX/sSr17/mCr3GSgq6h3kF/uieHkxnId446dXYNSp/3NwcmwU6xe8yEub1vLS7mW49Md5r/AvrH7tI/444/ekJnb8gG6g2VOxhwWr76bRVY3i9MK/7ie8+bPrmBDtuSqenhTo7cufL7sX5VKFrYUWVmzIZ33d/1HEEe5Z9ynhX17B4ml3kDqy62fe+pM6Wx1//OY5PjmShSKcKGjx8j3KbeOSuHtmAoGtVIY8V/VGspSNu9BDe6XDM1SO47yTEDSYrT/Z3snRV3RhZjXHdrbOxxXAb7sw9tcn/6TVCI/8cBoS4q6ac6ii7a2DLbKP/xvfYeto9JkHTO7xvdX06OUjqDN8wUdFBRiEN09Oe5Jpg/t3zP1FTsV6DKE5uIwX0ZVGtqcKDmhE67uHbSUwD/WePrpcCpaiS7E5XUwa7PlzdFPCL2bTrgMcr5SH1DtypKaYTwrWgBjKtePVay2g12qZm/BTVh75E1uqP+B47X0M8u9+09uBrL7ZwcJ/baX6+DUMibiMV9Ov6ZVEqYUQgnsuTOHWpBk8+OnzbKp6h0aOsPD17dw43s6iy4afU+c9emLN4S95eP0juGjG2RTO7MBHWXrLJefEaoUQgqSYQP5xSzKvbV9Axo5MGnTHKOM//PLbzwnecBUPX3grV4+N9kj1y97idDl5edtKMna+gJ06EOCoH0lK+J08fs/FRAQMvO9Ntb/bLMAiRVFq2xskhHhU5TjOOwL67ZavgcDXtxZj2EfsaDQAE9sdW95UCFpIDOr/u02FEPx+1t3cWXcFEaYITHpTX4d0zsiv34IxZD1N2u73x6nRfYMpeiW5lkuAqzwW25nK65uxOV1oNYIIFV50JYS5t/jml9d7fO6B5oXv34Hw1zD7j2HyEHW3uy6eMZ+sgldwast5fO0K/nn9w6re71y0q3w3z35cx57jtYT4Gnn9ttkEePdN0u9r9OLlHy1i2/Eb+cu6DXzl8Ccrp4jVO49z0ww9i2Zf0qtJXG9bse0tnt+2FIQLZ8NQHrngaRZcOLKvw+oyIQQLJtzIbeOu49+73+fFbf+gUV9Otf4dlnz/Ocs2zOWX067n2gmRnSpx3peO1TRw00e3Ue3cD4CzOZQLfH7KH+bPPfkQeSBS+28lraNEqWWcynFIkkeF+oEh+BsaDJtwtlO5TFEUrLi32CSfI/0XtBot8QHx53WidKB+E94xL3PE1fbZuDPVOdyL5yHe3d8+13J+qNpW2u05OiO/ohI0zQwK8FLloUp0kA6d7272N/3P43MPNF8dywYgKWSGahW8Wuh1Om4YcisAm6veo7SuM7+ezx95lXn85JPb+K5xGUa9jRW3TSQ6qO9/Dk4YlMAbNy/g/XunMSHaTJN+D+8ef5BpL99J1ra9KMrAO8nwXUElL35xCIQLTcMkXrn8pXMyUTqVVqPltrFz+erHn/LghMV4a8xoDFWU1NXyq1XbmfXsOt7cdIQmu7OvQz1LdYONP63OY/azGygpjURxGolyzeetK1bx71t+OqATJVA5WVIUpVMt3Ds7TpL6i6TIoSiKQGit7CkrbnPcwcrjoLWiKIILY/pf2XCpdXWOSnQ+B2lQCjt9jdXprroY4dv9ylXDg91nfKyKuuWd/3fof/gNfxIl9E1V5o8NNuEd/QZK0IfkV6qb+J3LdpXtp4EiFEXLXcm9U0Rl8Yxb0LqCcLm0PLe+7cI+55vqpmru+PQ+nNgAwfJ5k7ggJrCvwzrNBTGBvHfPNK6dBCgCm/cWnsq9ldR/PsXmI73Tn603/Pu7I9zy8ndYyiYQVv8g/7v5BS6M75tqd2owaA38bPxPWHfTZyxKfoyHLpxHiK+BomorT619m+nPv8CKDfk02hx9HSpl9fX89L2nuei5f/HS+nya7C5Gm65n+bR3WL3g10yIVrkSUT/RL9b7hBCb+zoGSeoKX6MJrcv9Q2Jz8b42x317dA8AGmcQQSbfXolN6ht23E/pB/t3v5DH+EHurZoubTUNzer152jpsWQ2qnNAOsjki3C6X2huKsxT5R4DQWbOewAYbCOYGufZqoRtMeoNPDzuWRryH+G/37uoOg/7wJzJ7rKz4JMHqHOU4bIFc++oJ7lybO/8fXSVRiNYfvlDvHrZGwTrhyK0zZTq3uP2z+cx741M8svabqvR35U3VnHFW3fz6w834XApXD1uEB/fdTtRgX2/uqcGk97ErWNu5t5Zw/hq0WweuyoB06CPsIW8zPI99zPtuX/w97X7qbHaO57MwyrqG7n/w5eYs/JKcuvexhX0PiMH+fLybRN57+5ZpI7wfGGg/swjZ5aEEP5AvKIo2854/+xOXC5Lh/dTiqIMyOV9TwnWxmARNewtP4DL1fq3+tbje9ALPYH6Ibhc6jcalTomhGeKfJzJJdwvUmICwro9x7CgwSiKFiGc7CwpZGpsgqfCO01p43EAIkzdP1/VEV/NIOqoZmfZAWCmavc5VymKwsbSL0DA1PDZvVoV65akibzz7dfsKq4lY0M+S644t7c39dSSL58hv24bitPA7MDF3H/J2L4OqUMTB43ni5v/w+s7/8ML256n2VDJXtffufrtTVwX/UseTBlG+DlUBGJHST4LVi/EpinDK7Kc+0ct5d5LEs7panFd4W3QcsvUaGq9buCtvW+DdxFO7xX83/7PyNwyh3mjLuXHU+NICFX3oeuhijr+8OVKvrO8hTCUgw40TjM3j7yFxTMuQtvPz1SpxVMFHnKBOCHExDMSpiygo3I7snR4P2K1WqmpqaGurg6Ho++XgPuzh4beSpNiwSj82bev9dWlWQGJzAh4DJMmqM0xUu/T6XT4+fkREBCAt7d3j+erttaDxv30b0hgRPfj0urQuQJxaivYWXZItWTJYi8DAbEB6lVfC/eKpq55D/nVcpd1a3KO7aFJHEdx6bh74o969d5CCB5KTeSO177jjR3/ZcG0GCICBvaZg7a8un0VnxWtAiCBu1h+/WXnzAt0jdBw+7g05o28ij9tepH/5r+FvX44b39/lPe3FnHH9CGkz0zoswIVnfX+nm94ctOvULQNKPZAHp+6mJ8kn18rFwA+eh8envQrFoy5nVd2/pN38laC6SiYXuWdkg957f+uY2L4FG6aHE3KyHD8vDzz99pkd/L5nlJeyfmQg46VaIwVCANoXD5cOvjHPHXJXfgYev578lzmqWRpKxDE2eXBq4BM3KXD2yJLh/cTtbW1FBe3ff5GOl10QDhOJQjRzm7WGP9IFBT051mfov7O4XBQXV1NdXU1gwcPxt/fv0fzHaoqAUBx6Qn37VmXdh9tGLVUcLDySI/maU+Tq8JdoTE4RrV7DDEP4WAplFiPqnaPc9mbO9wNu03O0Ywb3PvnMS5JDCUkMYNm7VF+nR3Eyzem93oMfe14rYXluc+CBvysV/Lm7T87J6vImvQmfnfRI9yXdBtHynQs/XQfOUeqWbHtbd7Ms3L3hAXcMT0RL33/+z30hy/f4p3Df0ZoHWjt0WRe+g8mx8T1dVh9Ktg7mEWTH+GOsQt4ffcbvJP3LlZDJcLlw3eHqvjuUBUGfTPTEwZz6ahBTB4SRHyIT5eS/PK6ZtbvK+OLfcf56kA1dU0OdP6VeA+uQKt4c3nMPB6fno6fsWe/zwYKjyRLiqK0Vc3OAjwtS4f3f1ar9WSi5OvrS2BgIF5eXud1x/COWKz1HGs4CoqOxJBhZ/2gcrkU9hyvRUFhWLi/as0mpa5xuVw0NTVRXV1NfX09xcXF6PX6Hq0waZyB1B9cRIi/s8f/Zsb6XkN23nh0QT1vntyaJnszLq27GMWY8DhV7gEwJnQoa0qh1nlMtXucy44dnURDsR83X6xewtoejUbDpXEpfFT4TzZVvcXRqpuJCerZQ4Nzic3h4uF386gvvJOAsFxW3fKEx57U95Vwn3DCh0DW3Rfy4Y4CfpP7exRNAy8e/IZXt13FQ9NuZm5ybL8oT21zOLj1vT+wx/ofhAb8lfFkzXtR9v46RYh3CA9N/CV3j0/n22PfMvq66azcXMiH249xTP8O3zsPsnHjMBzZifiTyLhBsQwJ8SUmyITZpMfXqEdRFGxOF9UNNootTRwoL2VX5S4syk50vvuw1yRha5rNYLM3119wHT4hMdw27gZ89OfnSnNb1O6zNEeWDj831NS4Xzz5+voSFRV1zmxD6EsB3r4UWyJRFA0OBYxn/AJqcjhACPQaDUa9Vn5N+wmNRoOvry8+Pj4UFRVRX19PTU3NacmSQKC4tAht557E1jS5UOxBBOt7/hRucvh0Pt0cSHWtOoea95S7V3oUl57hId3fMtiRC6NHsnwXOLUV1Dc34Ws8d85PqO2Yxcrmw1UoShi3T5zWZ3E8PmMhn7yVhdNQxc8/+Tsf/OTxPoulNymKwpL3dvLNwUpMhmjeuG4eg80D58WhEIJrxg1B4/Nrln6/nBrKaAp8m99v/ZK/b7yeX824lh9NiOyzVbRii5UH3tnEXs0GtEYYZbqGN67/HQZd/2802xdMehMpsSkAPJiSyH2zhjBn1W+pbq5HY96K3rwVO7DF6c33RWE4Dw6mufSH6ppeg95F6GvQGCrR6C0QBIYTH4uI3M/yeY9zQXTgica4o3v98zsXqF06vKaTQxeqGYfUsbo69+H0wMBA+aK+k7QaDV4695PI1voi1DY3IjTNeOnVKSgg9YwQgsBAd8W2lu//FheYr6R+3x8Zqb2nU3NZGt0VxQJNhg5Gdqylr0thlbXHc7WmrNaGrXoyhqaJ6FVsaDk8JApRdhuNh37OkUp1PpfucCkuKq2V1Db3XY+hj7YXoSgwOS6ISHPfnQXwMfhw5+j7AMi3vc/qPQf6LJbeoigKN2c9wft7v0GrEbzw4wsYM3jgrWZohIZrhl7N2vmf8MAFv8Sg8UHrVUKd+f/49aYHmP38Kj7YVozT1btHxj/ecYzL/7aBnMONaErvYH7sI6xMe1omSl2g1+rJTvuMly99mQVjFjA8cARaoUVorWhNRwgJqmDG0BDGR5u5IMaMd0ABOp98d6IEhHhFcs2Q6/nLzL/wSdrbJMcGnUiUpLb0l+/OFGBJXwdxvlIU5WQxBy8v+fS3K7z1Wqx2J1abi4AzXvPU2KrRGOpBGwicP9tbziUt3+8OhwNFUbqd1G4r/x5D6Fpc3hcAU3sUU4gfaH33cNTWBMzo0VytaW4y01xyAxfEB3l87lNpNBqG+kwjt9LCoQoroyP7tmeNy+Xit+tX8OHht3BoqgAwixEsmvIg1wyf3mtxKIpCRv69eA0OZdboX/Xafdty78SbeGff29RwmCc2/IVZw17sl2dbPOWej5eyu/G/mGL0PDj8FWaPGDj9e1pj1Bq5a9wdpCXewIvbXuLdfSvR+RykqLSBX7yzjb9/cZAH5gzjyjERqq40ldZYuf+jFWw7dgx700VcEGPmufmziAkemGXB1WbQGpgyaApTBk3hoWSwOW3kW/I5WncUk87ERVFTTo79MP8RNEJDhCmC4UHD8TPIc0hdpXqyJIS4E/c2uyDcZcLP1Nb7pV5yanlweUapa7Q6BxpDJRa7lgjiTr5fURQcLisI8DfI/kr91anf7z1Jlg7U7sAYsp5Gbc9XlgJ8nZiiX8epaLBYH8Hs7dkHGEXV7lWe3uhdkhDqS+5RC/llDarfqz12p51rV95Pkf3b0/ZTWJQ8Hl3/JE11r5A2MbZXYll94Dvs2hJ0vlVcN35Yr9yzPRqh4Y8XP879X96F1etbFn30Ic/fcH1fh6WKJ754lW+q/g3AjKDbuXPaBX0cUe8xe5l5fOqj3DbqFtYe3UBD7BQyNxRwsKyeX336D55ek8jPJs9g/uRo/D14dqvZ4eQfX+Xwz73Pgs9ejGEa5o2+hKcuv7BfnJ0aKAxaAyODRzIy+Ow2ANcm9E7D64FM1WRJCPEnYBFQgLvYQ2vb8jTIZEk6R3nrtQhbE04ELkVBc+LFdr2tCYR7a57Ze+DshT9f5NdvxjtqFYWusUBSh+Nrbe7tDf6Gnq8gxpkjQNEhhIPtx48wM354j+c81cHKYhDNRAWqv/0rKLAGfdAGvi7J5xf0XWJw63t/oMj+LYqiIdnvJyyZcQdHqst5euNzFB6bwCMFu2h2wE+mqp8wvbb9fQCCxQUM6mEVRk+ZGTOVySGX8u2Rg3yUX8/8cRVMHxrS12F51FNr3+S9wr8hBCQaf8T/Xfvzvg6pT0T7R3P7mFsAuPXCWJ5fv4mVxz+iQbj4684P+ds3M7gm8RJuTI5hYmz3t+U32hyszMnnhS2v0uyzBuFjA0XHTUPvYMm0VLTywax0DlF7ZSkJSFAUpd1GG0KILSrHIUmqTbUbdwAAIABJREFU8PfyprjB3SqsrtlKgJf7aX1NUz0AGozoZNnwc06Nowyd317qlM6tCjY43OdfzF4932qmERp0riAc2jJ2lx32eLK0sf55/Ebsp1bzGKBOxb0WWuMxvMI/oaA5HnhA1Xu1Zd2+Mr7bnoh31GBuSvwpT8y+GYAR4cGkJv6DP32aR+aGAp74YBdh/louHRWlWix2p528uq9AC1cnXK3afbrjxcv+yG8/3MfbR4v4xTtb+e9903tl9bE3LPn8NT469leEUIjWzeTdtN/Jc6SAv5eeO6YnUJNzOZ8eXo3Odx/47uOjyg94791JhGqmcPmIkcwaHsbEuMAOt2c22Z1sOVzNx7sO8b9D7+EKWIfGvx4BRHmP4vnUpxkWqE7vOElSk9rJUm5HidIJK1WOQ5JUoREatBhx0kS1tfZkslRvdydLXtqB8WJDal+jow40EOztmXM5vrowLEoZ+VWe71FkdZWDFhKC1GtI2yIpMpE3CqBZlOByKb1+iLjR5uDR/+xEcZiZG7GMJ2aPO+3jGo1gyRUjqLXaycpbza82Ps2/g95kXMQQVeJ5a/sXKNo6FKeJuyddrso9ustL58Vvrh7NtsJa9h6v5fY3PuOD9GvwMfaXo81d53QpPPTB+6ytcSdKsYZZfDB/uVzVOEWkbyR/nrmU+y+4l7fz3uY/+/9Lk7ECY/hqalnNa9tu55WvR6DVCIaGmRgeHkCYn5FAHwMul7ssdVF1IwWVZeQdc9HscIGw4ztsLRqtlQBdOA9NeoDrhl2NRsivu3Ru6hc/BRVF+XNfxyBJ3eWj96XW3kSjw50g2ZwOnLjPhQR5D7wqS9LZbIq7ml6oyTPJUrAxAkvTLorqPNsk2uaw49TUIICxKvZYajElyr1yJbSN5JWXMCp8kOr3PNVL6/MoqW0iKtCbx65qvSSuEIKnrh1FtuUJmnW1LFy9mK9ve0eVw+4r8z4EIMZ4IX79sJiOyaAj49YJXPvWYkp8NjHvNStv/zTNY2dYGpodlNY2Ud1ox2pzYtRr8NZriTR7E2jSe3S1p7CqkV+t2s73h/R4RycyOiyGlTf+Ga1c6W9VrH8sj05+lJ9f8HM+OfQJ/8tfzY6KHVybOI1vDjRQVtfMYeUtihp2odSYUVw6QIPQWhE6C8LLRbPjScL9vbhoWBQB4XcwIjyY64Zeh157bvevkiS1k6XNQojZiqJ80d4gIcRniqJcpnIskqSKEJOZ2poKFNFMTVMjdc1WQAF0+BvlytL5wI47UY7w9UyFucG+keQ3QVnTcY/M12JPWSFCuFBcWkaERnp07tb4GX3ROANxaav5riivV5OlIksV/zx6F8ZBI/jFRY+1u4XIS69j+ZxnuOfLW2jQ7GXxmhX85fJ0j8ZT29xIYfP3oIF5I/rvgevBZhNj4uxsr7RzRL+cG19x8q9b5narxPnRykbWHyjnywMH2Fu1m0pHARp9NUJbj9A2oShacOlpLr8MH+JIDPdjQpQ/SbHBJMcGEhHQ9YSyye7k2S+/4J1vG6lv0mEy6Pnj9Ge5bnys3HrXCT56H9IS00hLTKPOVoefwQ9FUSitbeb+L1axr7YO9HVnXadBwzv3jGRKTPyJr/P43g9eklSiarKkKMp/hBA3CiEeBrJxF3o4UxAQr2YckqQmb70RnfDGoVgpri1HsZtxEU6In07+cj5PuEQDAoj0C/bIfEPM0WyogFpHmUfma7Gr7DAAWldQr/U18dNGUkM1O0sPALN65Z4AT3y5AqGrx+RXyPXjO95Wd1HcSGaF3ca6ilf4/NgrHKj4EcM82LT3y7xSmspnYwo4xC0TZnpsXk/TarRkXPY3fvrJQvZZdnDc+zkuzyzn0ZlzmTcxqt0Vt/pmB98fqmT9vjLWHyjncIV7hd0Y/gGGoI0Y27iuuexy6pod5BypZkftJ7xTuh7nuhj8SGRcyARmDhnHpLhgEsP90LaylVNRFAoqGvjX5k18eORNHN652M0TSTL8jOXzJxAbLIvsdEdLiWkhBBEBXvzzqucprC2ktLEUm8uGw+XA3+BPqHcoQwKG4KXrf6ulkuQJvfHbcj4wF/ejdkkakCJ9I/jLi3/m3dfeY+/OHQCYzWYmTpzI4sWLSUlJafW6hIQECgoKTo5fsmQJixYt6tQ9U1NT2bJlCxaL5eT18fHxBAX9sLpRVVVFUFAQ6enpzJ07tyefomqys7PJyMjAYrFQUFBAfHw8S5cuJSmp/Sp02dnZpKens2bNGuLj++55i83hoqHglwhtI8NuiPbInDOiJvHS+ptBiehRSfMzHah0n4Hy1vRepbNBphhqGndTUHO41+7ZaLOzuep/oINr4m5Bp+3cr7q/XHY/F77+GTZtET//9Bk+/clzHovpo20V2Ksu5qYxt6PX9u+tYD56H16/cgV3fXYvOypzUMJf5XffbeO59Vdx9aixjIsKIMzPC4fLRWW9jf2ldXx3uJidVZvR+OSh9d1HU+OP0WkSSIoNJCHmMrY1lDEudAzDg+MJ8Q7BV++Lw+XA6rBy8bw5lNcq7CquYUXexxTZLWgCLDSxg+/tWXy31wtnThw6ewwxuiuIDDDj56WjxnGEksYijjUdpFmXh9a7CEwggKQ4E69ePQkvXc/L+Utu/gZ/RoeMZjStb2mVpIFK7dLhL+GuiJeJu3R4awKBO9WMQ5LU5mc08dC9j/LT2x7mtrnX8PX6L1mxYkWHCUp+fj4JCQnMnTuXpUuXdumea9asASAtLY2srCyWLl3KwoULzxqXmZlJWloaSUlJ5OTkdOkealu2bBkAq1atOvm+9PR0kpOTWbRo0Vlfk8WLF5Obm0t8fDwFBQUnE82+ZLHaUOxB4Agi2Mcz2y4nRMbhqB1PHVBjtWM2eeYF39Fa9xkos773GnEmmOPIa4Qyq+eLVbTlhU2fgK4aXN48Mn1+p68z6HQsnvQov8+9nyLHl7yzbSM3Tbiwx/Ecs1j5Is+9Spg20TMJtdpMehOvXbmCv25Zzpt730QfsJU6r2Je+fqXgEBo69EHbkLoatF6HUfjVYxxsOvk9VdOsfD0zFT8Tp53urHd+wV6Q2K4H5eNfZadFTv57lgOXxdu5mDtbhzaJnR+eUAeu/MuYndxMwDe0W+4K7jpQQugaBkZMIXHpt3PhPCxanxZJEk6D6m9shSvKMrQjgYJIZJVjkOSVOfvZcTfy8i0KZP4ev2XVFVVdXhNbm4uKSkpXU6UTtWyknTqitKpFi5cSH5+PsuWLSM9PZ2MjIxu38uTCgoKqKysPOtzz8jIYMuWLSxbtozU1NTTVuVOHbt48WKys7NVie2CgCv47/poLhrT8bkeS6MdgABvfatbhLrDS68lxNdIRX0zRdVWjyVL2AZjq57MsPgJnpmvE66Iv5R3v9Fi0Ktffa/FBwffAy2M9p+FXxfPDc4bO5NXd06jyP4tz337P24YMwWDrmfFHp5e/xYa/2ImBl/M0LBzp0m1XqNn8eRFXBV/JX/PfYEwXTKOkBgKyhsoabBSFXz6v78o3zhmx1zMRVEXkRyejF7T9YP9Pnofpg6aytRBU/lFMjhcDvZV7WNzyRbyKgpJmXQhx2usNNqcfFs9hlIbxPnHMytuMnNiLyHEe2D1h5Ikqe+pnSyt6eS4Z1SNQpJ6UUKCu49EZ1ZxnnnmmdNWVdSSnp7OsmXLyMzM7DfJUkZGBpMmTWr1Y0uWLCEtLY2MjIw2tzCqSQgNoD3x3/btKT+AIXQ13sbBwKUeiyEkpJAa/UFyj4UxZnDrX6eusteNpLkklJkX9d7h6+SoOFxNUVQ2QU2jnQCTupWxthUXUqPZhgDun/STbs3x98ueIO3lTzheHclr3x5i4cXd7w1jczjYUPEm3pEVjIqO6fY8fWlMyBgyLn3ptC2h9bZ6/pqzB7PRTGJgImNCxhDl5/keVTqNzr31K+TsrV/pPOXx+0mSJJ2pvxS97197gySpB1rOz3S0RWzZsmUsWbKkN0I6bdWp5YxTX8vNzSUtLY3MzMyzPtZyXik3N7e3w+qy/dX5GEPW4zB959F5raZsvCI+JLdsq8fmLKpuBCAqsOuVzbrL16gjwt998Du/ol71+z3/3UqEcGFS4pkR072tWEODB/PYHHcfpL9lH6Ckpqnb8WR8/zmKrgJcXjw4rX+eG+ysU8/O+Rp8eeLCJ3gg6QEuH3K5KomSJElSf6D2ylKWEOJORVFe7mDcKsAzj04l1SiKgtXu7OswPMpbr/V4xbrOJEstW9A6KmLgKVu2bDkZm9ls7pV7dqSlQMXEiRPP+lhfJ3SHGnLxinyPYtcY3Mcu21bR6N5u6aXx82gMIV7hVFmhqK7II/PZHQ6ONx4GEdCryRJAcPgeqr13sO6wjqQY9bpEuFwKew/G0cQV/HjK2d9XXXFjUhRvf3+UrcfzeeCjV3j3J/d1eQ5FUXhj7+ugg+G+MzF7nTtb8CRJkiQ3tZMlBTgkhFgJbMZdOvzMV0FmZOnwc4LV7mTUE5/1dRgeted3l2EyePafQWeSpcWLF/fK9rsW6enunjGn3rOgoIC0tDQsFgtVVVWsWrXq5Ja3rKwsnnnmmZMV6qqrq89KslqKMwBUVlYSHBzM5s2bWbp0aaeq0y1atKjNyn8tyV1vJZNnqrYfRx+wnRql47NCVU3uH2kmnb9HY4j0Hcx+K1Q0lXhkvj3lRRji/ope0RLm17t9flzeOzHoNrG1bCigXrK0tdDC8SpvfI1z+OW0nm3f1GgE96T488tvlrPHrvD+rulcP6ZrZ71W7diMVbcbRRH85qK7exSPJEmS1DfU3oZXAHwOpAHLgCzc55hOfcvCnTBJ0oDRkiy0tkKSmZl5MnlRk8ViISsri4SEBOLj48nPzz8t+YiPjycnJ4eUlJSz4pw7dy6rVq1qM+lpKbzQkvAsXbqUuXPneqzgQktS11vbFHuiptn9tfPTB3h03oRA9/kWT/Va2lFyCACtM7DXeiy1iPGLA6C44Yiq91m9093Ed87IsHab0HZWyrAxRBhGIzRO/rBxKXanq+OLTvFCrntTRZRhMuMjOqx1JEmSJPVDav/GLMDdjHYN7ZcO7x8nzqV2eeu17Pmdek+F+4K3B15QtebU0tanJigWi4WcnJxWS3z31MqVK09bzaqsrMRisZCUlERqamqb1fJSU1NbPTcUHx9PUlLSWQmQxWIhOzv7rFWf+Ph4j3xe2dnZZGdns2jRoj5bWeqKOnsNAAFGzyZLo0JjYT/YRIVHei3tr3QnKiZNqCfC65KRIQl8WwXV9mLV7qEoCu8feQldQAhzRo3yyJxCCJanPMmPV8/FZtjFrz97l6VX3tSpaz/YvYMq8R0CeGSqXFWSJEk6V6mdLFmARYqi1LY3SAjxqMpxSB4ghPD4lrWB6tSteKe+4L/rrrtYsWKFKvecP39+m32d0tLSTm7981R1ufT0dJYuXXra9rz58+e3mZR1hsViIS0trVt9p/pKo6MOgEAvzy6Qj40Y4v4fbS3Ha+uJDOjZmaijte6zT2ZD7/VYajFx8HBe2Q92UYLV5sBbhZ8jXxzcj833S7x8BElxnlu5HRs+jAtDr2djxX/437G/c/3h6UyNa79XktOl8PcvDuDUxhMZYGJOfM/OT0mSJEl9R+1teGkdJUot41SOQ5J6VUv58M2bN598X1ZWFvPnz++TAgst29pSU1PPOkvV1XjMZjNLly4lMzOTwMBAkpOTT/Y8SkpK6tHnd9ddd5GSktKr57l6qsnpTpZCTd1PElsT4RMCLgNCKOw4frjH85U0ureoDfLpuHeUpyUNSgRFIHSN5BQVqnKPf+9wn6cM0Awlyt+zCeHy1EfwIhyhr+X+z35Do83R7vhXvi7gYLEXurJ0/nX1ix6NRZIkSepdaidLQ4QQK4UQce0NUhTlkMpxSFKvOrPIg8ViYc2aNW2u/PSGli1yixcv7vFcixYtYs2aNaSkpFBQUHCygWxqamq352yJ61xKlAB8am+n4dD9JIV6tre2EIIo+100HL6HRmvPq6hZbO5CEbEBvV/i2aQ3oVfc2/82Fu5W5R7bKzcBcGHEDI/P7WPw4W+zl4Giodkrh9vefgOnS2l17I6iap79bD8Aj185iqgAeSRXkiTpXKZ2spSJe9Wo/x88kCQPOjNZWrx4cZ9vK2tZ7fJE7yKLxUJKSgpr1qyhurqa/Px8Fi5cSHZ29mlV8jorMzOTgoKCsxKljnpV9Qd19T64mqIYHBDi8blHBkzFZY2lpKbnJfutSgUAw4NjezxXd4QY3QUr9lZ4/tnY/tJqmvV5ANw0tvsJe3umRydxY/wdOKouYcveEH7xzlaaHaf/vewvq+HWj+5DhGYxa6Qf8ye1v11PkiRJ6v/UTpaygEBFUd5rb5AQ4gaV45CkXnVqspSVlUVycnKf9zfKyXH3fu5K0YTWkpWCggKeeeaZ094XHx9PRkYGCxcuZM2aNV2KKzs7m5ycnFZXlPoqwRwfcCl1+55iuOaudscpikKN1Q6A2aT3eBxRQSYAiqqtPZrH5nDRVDUFW/VkLhjUN1XZro+5j7p9T+KomeLxud/c/iVCY0enBJAcMcbj87d48qIHWJ76OHqtlo93HOeqFz7lo+1F5JXU8uK6HdyQdQ8u004M5lzummPyeA83SZIkqfepfVo/H0gGvuhg3BKg3YRKks4lZrMZs9mMxWJh5cqVfb61zGKxnKx4d2Y57paCDK2VOW+rFHhmZmariUxycte2orWsJmVktF4Qs6qqqkvzeYpW6MHlhVYY2x1XbW1ABH2CweWNr9EzhTNOZfKxoA/cyI7qfGBst+c5ZrFiq5yJl15DYsggzwXYBZOj48FVyr6Szhxj7Zqvir4CLST6T1I1QRFCcPmYCF69fTL3v72FY8a/8+jmGly2ELRehQgfGyhanpr6R6ZFyaIOkiRJA4GqK0uKoqwAzEKIZ4QQNwghJggh4s54m4BsSisNQC2rS2qvjrQkFG0lFrm5uSeTmIyMjLNWlpKSkoiPjz+tGAW4m862VM5raRLbwmKxtHr2adWqVZ3uIWWxWEhOTmbLli0kJyef9RYYGNhuc9tTz4P1laKaCowh6zGErsHX6PmVJbu2EK+IDyh29ax/VWF1IwBRgX232pEY7q7mV1rbjKXR5rF565rslDZUoCiCq4fO8ti87ZkxLIRXF8bh5VOBRl+DzicfobURbIjm9Ste48YRV/ZKHJIkSZL6VF1ZEkK0bOgWQOunYSVpgIqPjyc9Pb3dF/w9kZaWRm5u7mnnoto685OUlMSaNWvajGXNmjUsXrz4tARo/vz5gHt1KT09HbPZfHIr38KFC5k/fz6LFy8mODgYgPz8fJYuXdrpbX5paWlYLJZ2z1BNmjTptD9nZmaSkZFBQUHBySQpOTmZ+Pj4k1sBPfH1PtK4HeOg/3LMNZr2jlyW1LtjEC5vNBrPP3saFRoLeWAXlbhcChpN9xKd3aWFaAylRAb6ezjCzvPz0hMcvYZGjvDtkXiuHDnSI/N+faCCxuKbiA2dR9oodc4rteaCiBF8++P15JTmUNVURbRfNONDx8utd5IkSQOM2tvwDgG5uJvStiUQ6Hl5LknqZ9TeeufJ+ePj41udLykpiUWLFp01tmXbXE+axnb1bBO4kzQ1GvqeqdJWhMG8BYvS/gvf8oZqADSKSZU4xoW7ey0JXS1FllpigrrX+Parko/wScii2jAHuMiDEXaN1icPnShmU+FOjyVLX+SVATAnMQEvnZdH5uwsL50X0wdP79V7SpIkSb2rt5rSHm5vkBBinspxSJIkeVxFo3tlSS/USZZCTEHgMoDGxo6Sw8QEje/WPKXWlh5LfXNeqUW4dxyHm4rZW3nAI/O5XApf7CsGYM7IMI/MKUmSJEmnUrsa3l0dJUot41SOQ5IkyeMqrTUAGISPKvMLITDiLkm+t+Jwt+epsbtXX4YE9G0p68TAYQAUNXimJHzO0TKaI5/ANy6TxEFaj8wpSZIkSadSu8DD1lP/LIRodcP8meMkSZLOBZYmd2U3L23Pm8a2xV/vXjEpqC7q9hxNSjkAI0L7psdSiymD3WW9a11HsDlcPZ7v7Z3rENpmjN4WQkyy+askSZLkeWqvLHGi4t3KE8Ueqk55/xAhxLsnquFJkiSdc2ptdQB469RLlsK83Vvniuq7lyzVWK0oWvcK2PiIvi08ekncBQAIQxk7j5X3eL5Nx78GYEzgFFlYQZIkSVKFqsmSECIAd4GHBODPnNJvSVGUQ4qizANShRBxasYhSZKkhsHaOTQc+jnj/X6k2j0ujb6BhsP3oK2d3a3rt5ccQQgFXDqGBEZ4OLquCfMJQ6cEIITCFwXbejRXaY2VGrEDgOuGz/FEeJIkSZJ0FrVXlv6E+9zSREVRHqWVqniKovwZ6FxjFkmSpH7E1uyNq2kwUX7qnQWaPHgkLmssRyu6d/2u0kMA6JTgfrH6EmaMx+UwsbfsWI/m+c/ObWgMVaBouTR+hoeikyRJkqTTqZ0s1SiK8p9T/txWr6XWu2lKkiT1gTH+c6g/8BjDNAvaHVdjtQPg7+X5hrQt4kLcxSOqGmwn79cVDQ3+NJddRoy+f6y+pI94ioYDv6G8dFiP5lmd/yUAkV6j8dGrU2BDkiRJktROljr7LDRI1SgkSZK6wKDxQnH4o++gyt1h21oMweuwa3p+/qYtvkYdQRG5GMM+Zsexrp9bqq71x1Y5i4vDb1Ahuq6bGBMBCPJKaml2ODsc35pmh5NDjVsAmBVzsQejkyRJkqTTqZ0sDT3jz2ftATlxXilB5TgkSZI8rkLzJcawT2miTN0bBXyBIfhrco7ndfnSQ+UNAAwJ6R+rL9FB3gR467E7FfaX1Hdrju8Kqmi2jENjHUXayFQPRyhJkiRJP1A7WcoWQmwWQrTUqz1tG54QYjaQAzytchySJEmdVti4C2P4h5S4NrQ7zqE0AhBqClA1ngB9JAD7Kg51+dqDdVvRGMqIDjJ6OqxuEUJgjnkfn6HP8OmB77s1xxd5ZdhrJnF5yOMkBPZthT9JkiRpYNOpObmiKFlCiPlAgRDCAlQJISYB8UDSiWGPKorSs7JIkiRJHlRuO4Ih6FuqlPbPCCkaKwBhPoGqxjPIFEVF3Q6O1h/t0nV1Tc1YgzLwCXHi59O9anpq8PKqQ2Or4ftj24GurQwpisIXee6VvNkjw1SITpIkSZJ+oHqfJUVR0oB7TtwrAUgDkoGtwMQT1fAkSZLOKXaHAzRNAAzyUzdZGhLgXpyvaCru0nU5xYcQGicoOhJD1KvY11XjQ8cBkF+3u8vXHiyr57hrHQZjDTOGhng6NEmSJEk6jUeSJSHEBCHEDUKIh4UQzwgh/k8IcWfLxxVFyVQUJRAIBJIVRdGcKCe+1RP3lyRJ6m0l9ZaT/x/pp26NmjFh7mOdjUopitJWUdGzbT1+AACDEopGqP5srNMuHToVgGZtAcdrrF26duWOjXgNeg/vIX/FoOv810KSJEmSusNTvz2zgBUn/j9TUZR7FEV5+cxBiqLUyARJkqSB4HhdNQCKS4+PUd3zQMmR7jLbiq6CivqmTl+3v8p9xilAN0iVuLpramQSKAKNoYq1Bw526do1h9cBkOCbhF6rXsl2SZIkSQLPbsNbqCjKs4qidP0EsiRJ0jmmtN6dLGkUk+r3GhIYDYoGobGz7diRTl93tNZ9xmmQT//Zggfga/AlQBcDwNqC7zp93TGLlXKn+3nbtYn9o2+UJEmSNLB5qsCDckbz2S4RQvgrilLroVgkSZJU56eJpOHQz4kOMqh+L71GzzDno2wtEFSO9O70dRXNxaCDBHOcesF105jg8XxTdoQdlVtRFAUhzuoscZZVW3ej9Xb3mrpqaP8pWCFJkiQNXJ5aWarp4fWrPBKFJElSL2mya3E1DSZUn9gr9xsfNg7F6ceBsoZOX9OolAI/nHnqT64adhGupsHU1po5XNnYqWs+OPApAIOMwwk1haoZniRJkiQBnltZquzh9eqejpYkSeqCUX4z+eBbX6YMj2pzTI3VXVbc37t3zs0khvsBsL+0rlPjqxpsWEsvRWMsY3rMaDVD65Zrhl7OW1+Y2VhdyYb95R02zT1eY+W4cxM64LrEK3snSEmSJOm856mVpZ4mO7KroHTOy8zMJDk5GSEEQggCAwNJTU0lOzu7zWsSEhJOG79s2bJO3y81NZXAwMDTrk9OTiY1NfXkW8ufs7KyPPEpqiI7O5u0tDRSU1NJSEggNTWV3NzcVscuW7aMtLQ0srKyKCgoAKCgoIDFixeTmtq1fj3t8dL6othDMAhzm2P2Vm/HELwOh2G/x+7bHrN/LYbQ1ey2vt2p8XkltTjqxjJIuYbB/v2zH9HM4e7VoS/3lXU49u0t+9B6HQNFcOPwq9QOTZIkSZIAz60sBQohDgCWDkeezXziTZLOaQsXLmThwoUnE6QVK1Ywd+7cdq/Jz88nISGBuXPnsnTp0i7db82aNQAnk4elS5eycOHCs8ZlZmaSlpZGUlISOTk5XbqH2lqSw1WrftiJm56eTnJyMosWLWr1a5KVlXVW8hcfH9/rn9uB2hyMYZ9SI1zALarfL9jfiTFkPc0OH2qsdgI6WNHaX+JegWpZkeqPUkaG8adPt/Nt4XYsjRMwm1o//6UoCh/mVlNf/TgLUwXhPuG9HKkkSZJ0vvJkNbwE3M1mu/rW/zbTS1IPJCUlAVBVVdXh2NzcXFJSUrqcKJ0qKCjotP+eaeHChSxatIjc3FzS09O7fR9PKygooLKykkWLFp32/oyMDJKSkli2bFmrq3Jz584lJSWF+Ph45s6dS0ZGBvn5+ZjNnnvmUmzNwxD6KWWujW2Oqbe7kxFfQ+8kI2PDEt3ltnUN5BYVdjh+Y/EWtL55xIa6eiG6btKX4jf8dxiiMvhox9E2h313qIrDlY346Hz4xbRrezFASZIk6XznqZUlgFSg41eHZwsGPvNgHJLUpxIS3PkwDK0pAAAgAElEQVR/Z1Y6nnnmmdNWVdSSnp7OsmXLyMzMJCMjQ/X7dUZGRgaTJk1q9WNLliwhLS2NjIwMUlJSTvvY0qVLiY9Xd+duaXM+xpB1VCptF1NodNQDEGAIUDWWFt46bwwEY6OCTYV7mDWs/a/B9roPMUVvo15nBCb3SoxdFW+Ox1cXSL2zgrd3fc6tU4e2Om7FV/sAhWsnROJj9OSvLUmSJElqn6dWliyKoqxVFGVrN96yAdmbSRowWl7It5ypacuyZctYsmRJb4R02qqTxdKd3bKel5ubS1paGpmZmWd9rGV1rq2zS/2B1eleWTIb/XvtniFGd2+ineV57Y5TFIV6VzEAEyNHqR5Xd2mEhkvjLgWgoPEb9pWcXbziYFkdX1e/gmnI80wa0dNaQpIkSZLUNZ5KlpQeXt/+q8pOEkKkCCHyhRDdfuwshIgXQmQIIZaeeFslhEjqwvVmIUSrSwpCiEUn5pvbEuOJ+y0VQqzpbsy9ztbQ9Ten44frnQ73++xWD8xr/+F6l/PE+88oQ2xrbP1alXQmWWrZgtaSFKhty5YtJ2Pz5Ha1nkhNTcVsNjNx4sSzPtZfErr2NLvc32eB3r2XLCUGDgfgcO2BdsflV1SDvgKA6bFjVI+rJ+aNcG+r0/n9f3v3GtzYed93/PfwskvuFVjqvrqCkmVLsWMBu05iW6ldAZm4diZ2QoiJp3GuS7RuM+NJU2Lc9kWn6XgDTjzTmTRpwZ3ayTRjhyVbeWxn7BhQLMeJL1kSduJIytrmkWVLli2Z5NFqL9Re+PTFOQcEgQMSIHHh5fuZwZA85+CchztY4vzwPM//eUp/+ERtOP79z82q/+jX1Dvwgu4a6ty/NQAAUuuG4W317mvT45CMMTlJcXmBK6YtVNbzQ9HjkhLWWsffFpE0Z4zJWmsbKSkWtKeeEf9RuQijI2/+1s7woduaf076T6QH3+N9/0+fkqZ/TbrrrdKv/8XqMf/t9dKlJj85/hd/IL3plPf9s1+S/vRd0o2vlf7NV1ePOfN2KeyT+P+81eXBwjUSlrLZbEeG3wWCuUqV13QcR+l0Wq7ranFxUdPT0+UhbzMzMzp9+rRc15XjOFpaWqoJWZWV+xYWFjQ0NKSzZ882PExufHy8Zr5SIAh3YWHSdV1NTExoYWGh/HMqldqwmEarXfOH6N1woHPh8823v0FP/PDjennlO7p6fUX9veGfd33e+YaMsepZOahbDm7v9YgeGHpAsSOvk3P+aRWff0zf/GG8XJTi8+de1BdfnNa+oauKHb5f8Zs68+ECAACBVoUlY4y5y1r77GaebK09s9kLW2uzFY3ISUquc/hGpiWdDoKSf37XGJOVdMYYU7TW1v3I2w9bj25wjRl54TImqSSpYK2tHYeEHS0Wi8lxHLmuWxMyJicnO1JowXVdFYtFZbNZxWIxFQqFNSEmqCCXyWRqhsKNjIwoHo8rk8mEhr5UKqVcLrcmzDiOo9OnT7ek7UGoCxumGATNyn/X4eFhOY5TN3y1wzXj9Sx1Miz99F0P6UNzkvrO6+kXlvSG24dCj/vy81+XJA31xyo/lNmWjDF6/0O/qd/9wu+qN/Jl/duPf0lTp96uxUtX9Lv/76/Uf4tXZOPf/8QHtv3vAgDYfVo5UzZvjElbaxtbMXGbMcYk5QWYmvJb1toZY8y0vCC0XrDJ+M9f7yPubGUY25H+w/ebf07v/tXvX/tz3jlM1afiH/jGJs5bUWr4rjf7bau6oTr1eW19pGhzgrDkOM6aQOG6rubm5kJLfG/V1NTUmmCzsLAg13UVj8eVSqXqVstLpVKh84ZisZji8XhNRboghFX3+sRisZb8XsViUcViUePj4zXXGBkZCQ1E2WxWmUxGyWSyY0Mbrz7/G7pqL+j+d9zTketJ0m2HbtP9Vz6k2Xmjp99wsW5Y+pb7tNQrvSa6fecrVXrkzkd0x6G79L3z39e3X57XW3NWV65fUf8df6renmuK33RCb7ntLd1uJgBgD2pVWPqapHsklYwxJXnDygrW2r9q0fk7IVjRsl6Qcf1jQsOSMWZc3hC8zdeA3in2Hdza83v7vEerz9vTG36OfQe2dt5NqByKV3nzfurUKZ05s+mO1HWNjo7WHYqWTqfLPTLV1eU2K5PJKJfLrenhGR0drRvKGuG6rtLpdN11p+oN7wt+p05VF3z12nUtX7xFknTz4c5Uw5O8XpjE8Xs1O+/o7597WaMhxQSvr1gtXZuX6ZXecscbO9a2rejr6dN/fet/0UvnrXKffEXOSxc1cNu0egef0+H+I/r9hz9ErxIAoCtaEpastenqbcaYzt1BtEZS8obd1dnvqE6PkV+swbXWOryhQ1otH3727NlygJmZmdHo6GhXCixMT08rGo0qlUppfn5+Tehotj2RSES5XE7ZbFaTk5OKx+NKJpNKpVJbDmKnTp1SMplsOvAEAa1V1fNee/it+uRX9uvkfXeE7j9/2StYYox0uMOlrON3RSVJX3XC5/d9+8ULuvTcezV4+Hm94943d7JpWxK/OS7dLD3ygRU9/cIr+pNvfkVffOGcPvy2P9Cth27tdvMAAHtUKxelXcNa257Z8+0Tkdd7tBnZJuYdRfyqeEG1vbwxZlMz040xT4Y9xEK/XVdd5MF1XRUKhY4XIagUDJHLZrMbHLmx8fFxFQoFJZNJOY6jiYkJpVIppVKpjZ9cR9CuekEpm80qGo2uWzijkYWAG3Gg96hWXr1VA+aG0P3fffmH2jf0hA4NfU09PZ39gOTum69o4PjH9P0DH9aL55dr9v/ddxa1cuUmvf7oI7rhwOZ7+bqlr7dHr7/9qH7rx9+rx37+Mf3UbT/V7SYBAPawtoWlHaihuwq/Ol7lz2OSmlnlMydp0lqb9R8ZSTl/GB92ieqwlM1mQ4eVdVLQ29WK3hfXdZVMJlUoFLS0tKT5+XmNjY2pWCyuqZLXqMnJSTmOUxOUKoNRqVSS67qhZcWDkBRWhrwdnKXvaf9Nn5WJdr7i/61HIuo//A31HfiO/vLcuZr9f/3NlyRJD9+3vavgbeR1Q6/T8UPHu90MAMAeR1ha1ehYpHKo8offRay1jd59zlhrUyFD/XLyAlNTM9OttQ+GPSTNN3MetF5lWJqZmVEikej6+kZzc97yX80UQAjrxQmreheLxZTP5zU2NqZCobkAUSwWNTc3F9qjVBkw4/G45ubmQtsfFKHYSs9WpR8sf0v7hh7Xj1bOhu7/0SXvv3CfOj8f7si+I4r2eUUlPud8ac2+q9dX9OXF/63+6Jf00N37wp4OAACaQFha1egQvMpxPllrbcMfo69TBS8oN1ZbJxk7UiQSUSQSkeu6mpqaakv1u2a4rluueFddjjuY7xPWY1NdCS8QVj1PkhKJRENrLAWC3qR8PrxztnJYXSaT0dTUVOhx09PTisViLSsd/v3lb2r/TQW9ZP8udP/CZW+U8b6eLRYl2aSHbvJ60L6xMKfrK6uVHr80/7wU+YIGbvmkju+8EXgAAGw7hKVVDU12CHqF/HlGzQy/a+TarLi4iwShod3D74JAUW++TqlUUiLhrXmcz+drembi8bhisZjOnl3bizIxMVEu2BAsEhtwXTd07tP09HTDa0i5rqtEIqHZ2VklEomaRzQarVkXamhoqGaYXzab1ezsbEcX+V1c9sLS/i6FpZ+//6clSVf3Pa0vzb9U3j715BMy5roGdJPuOnpnV9oGAMBu0tkyTtubK2+dpXrKY6j8eUsnrbUzjZ7cXzB3TFJinR4mPgveRWKxmDKZTFM9Lc1Ip9MqlUpr5kXVm/MTj8drFqWtVCgUlM1m1wSg0dFRSV7vUiaTUSQSKQ/lGxsb0+joqLLZrIaGvLV+5ufnaxaq3aj9ruuuO4fq5Mm1tbHHx8c1MzOjTCajxcVFua6rWCymZ555pqPDHM8vn5ckDfYd6tg1K73l9p9Urwak/vP6k7kv6uH7flFXr6/oSy98QTooPXTjm7rSLgAAdhvC0qpZSXFjTKRO+fCYpFLF93FjTNjkjKQkVezL+6EqLi9whd3RBSFpNmQfdqh293S08vyxWCz0fPF4vGZoWzA/Kdi/Wc3ObQqMjIx0taqgJL1yxVt7+2Df4a5cf3/vfp286WF95cWCvvziZ/Ti+Xfqc09/T9cGvi4j6dd+/N1daRcAALsNYWlVXl7PT2UokrSmAt6UJPkFHUJnkhtj5iTFrbXV+0vy5jiFfYweLE7T+dJaAJp24ZoXlg7v605YkqSxh35Zs58p6fIrw/rVj57Vc9c/KzP0qo703ayfvC1ktVoAANC0PTdnyRgTMcbUrJzphxhH0mjI0x71vza6llKYfJ1zS1JaktNMsQgA3XPzyjt06dnf0hujb+9aG07cfEIfTU2rf/kh/dOPviMb/awk6bcTGfWYPfenHQCAttht76jBhIz1Ji9MSyr46yNVS0sa80uCSyr3KuUkpesMz6sWem1/ntJC9XpK/lymE/61AewAV5ajun7p3q4WUTDG6I2336jpf/VT+oXX/5juGHiDHrrxhNKv+YWutQkAgN1mxw/D80NPRl5QCoLKnDHGkddTlKkqqFCQF05q5gdZa0vGmIS8NY8cSQuSTsoLSuE1lFUOVNN+G2L+tiX/+qeCoXfW2gljzIgxJi9vnlLEP+aeBoMYgA54zaE365N/Z5QYvit0//nlq5KkIwP9nWxWqB87flQffvQhXbz639VjetTb09vtJgEAsGvs+LBkrZ1UE8Pj/KFudYe7+cGqqV4eP+g0tBqmX+yh4Sp6ADrvUF9UK5fv0gFzS+j+F+0T6o9ckel9XYdbVt/B/u6UMQcAYDfb8WEJADrt4sFPa+DIRV3vYcgbAAC72W6bswQAW/bDZUf9x76ohZWv1+xbWVmR7bksSbr1cLTTTQMAAB1EWAKAKs8vP62Bm/9CL9q/rdm3cPmijFmRJN16iHWkAQDYzQhLANCEF84vSpKs7VF0kHlCAADsZoQlAGjCDy4sSZLMyqB6evgTCgDAbsY7PQA04UU/LPXaA11uCQAAaDfCEgA04UeXz0uS+gxhCQCA3Y7S4QDQhKHe+3Tp2d/SfbcPdbspAACgzQhLANCEq1cHdf3Svbpt4NZuNwUAALQZYQkAqtx78E361LNXdWfs7pp955evSpKODvZ3uFUAAKDTmLMEAFWO9N+o65fu00FzR82+b53/uvojX9X1vue70DIAANBJhCUAaML8pb/WwK2P6Ucrf9/tpgAAgDYjLAEtMjk5qUQiIWOMjDGKRqNKpVIqFot1nzM8PLzm+ImJiYavl0qlFI1G1zw/kUgolUqVH8HPMzMzrfgV26JYLCqdTiuVSml4eFipVEqlUqmh5w0PD8txnJa36aVXn1V/5KtaWvnHmn2Xrr8iSYrsP9Ly6wIAgO2FOUtAi4yNjWlsbKwckM6cOaORkZF1nzM/P6/h4WGNjIwol8s1db1CoSBJSqfTmpmZUS6X09jYWM1xk5OTSqfTisfjmpuba+oa7RaEw+np6fK2TCajRCKh8fHxmn+TbDarUqmkWCwmx3HaEpQk6XuX/1EDtz6mH9iTkn51zb5Xr1+UeqXo4NG2XBsAAGwf9CwBLRaPxyVJi4uLGx5bKpWUTCabDkqVjh07tuZrtbGxMY2Pj6tUKimTyWz6Oq3mOI4WFhY0Pj6+Zns+n1c8HtfExERNr1wul1OhUCgf0w1X7UVJ0hBhCQCAXY+wBLTY8PCwJDXUi3P69Gnl8/l2N6kckiYnJ9t+rUbl83mdPHkydN8HP/jB8jHbzTVdkiTdeCDS5ZYAAIB2IywBLRaLxSRpwyFiExMT5VDQbpW9Tq7rduSaGymVSkqn06EBLug1amTuUqetmMuSpJsORbvcEgAA0G7MWULTLl29VHdfb0+v9vfub+jYHtOjgb6BTR17+dplWWtDjzXGaLBvcMNjD/QfqHu9rWgkLAVD0Do1lGx2drbctkhke/SIpFIpzc7O6sSJEzX7tkugq3b1+nWpZ1mSdMuh7fHvCAAA2oewhKb9xMd+ou6+h48/rD9O/nH557f9n7fp8rXLoceeuPmEPvqzHy3//LP/92e19OpS6LEPDj2oP3/Xn5d/fvcn3q3vX/x+6LHDR4f1iXd/ovzzL3/6lzX/8nzNcd/41W/U/T22opGwlM1m1xQ1aLdgGF7lNR3HUTqdluu6Wlxc1PT0tJLJpCRpZmZGp0+fluu6chxHS0tLNSGrsnLfwsKChoaGdPbsWeVyufK/wXrGx8dr5isFgnDXrXlJ9bx8+Youf/c3ZXov6/jRoW43BwAAtBnD8IA2CMJCWA/J5ORkRwotuK6rmZkZDQ8PKxaLaX5+fk34iMVimpubUzKZrGnnyMiIpqen64aeVCqlZDJZDjy5XE4jIyPrlklvRhDqOjVMsVEXlld0/dK92v/qG3Wgf//GTwAAADsaPUto2lff+9W6+3p7etf8/MSjT9Q9tseszeqf/cXPNnzsJ979iXWH4VX6+Ls+XvfYdqksbV0ZUFzX1dzcXGiJ762amppa05u1sLAg13UVj8eVSqXqVstLpVKh84ZisZji8XhNAHJdV8VisabXJxaLteT3KhaLKhaLGh8f71rPUuxgQp/63vt0+933rNn+8uWrkqSjg/3daBYAAOgwwhKa1sxcn3YdWzknqZXHtkrlULzKG/5Tp07pzJkzbbnm6Oho3XWd0ul0eehfMNRuqzKZjHK53JrheaOjo3VDWSNc11U6nd7UulOtFOm/RdcvPKDD5pY1252l76k/8lXtO3SbpEe60zgAANAxDMMD2iAoH3727NnytpmZGY2OjnalwEIwrC2VStXMpWq2PZFIRLlcTpOTk4pGo0okEspms+Xepq38fqdOnVIymezofK5mPL30lAZufUyXDv5lt5sCAAA6gLAEtEF1kQfXdVUoFOr2/HRCMEQum81u+Vzj4+MqFApKJpNyHEcTExNKpVJKpVKbPmfQru0QlBavPKe+I1/Ty/bc2u2XvbldAz2HutEsAADQYYQloA2qw1I2m+3qsDJptberFWsXua6rZDKpQqGgpaUlzc/Pa2xsTMVicU2VvEZNTk7KcZyaoLTRWlXt8p1Lf6/B41P6/krVfK1Xz0uSBnsJSwAA7AWEJaANKsPSzMyMEolE19c3mpubk9RcOe6wsOI4jk6fPr1mWywWUz6f19jYmAqFQlPtKhaLmpubC+1R6nbArPaKH5YO9h/ucksAAEAnEJaANohEIopEInJdV1NTU22pftcM13XLFe+qy3EHBRnCypzXKwUeVj1PkhKJRENrLAWC3qR8Ph+6f3FxseFzdcKFq15YOkxYAgBgTyAsAW0ShIZ2944EgaJesCiVSkokEpKkfD5f07MUj8cVi8XWFKOQvEVng8p5wSKxAdd1Q+c+TU9PN7yGlOu6SiQSmp2dVSKRqHlEo9F1g1flfLBOuXT9giTp6P6jHbsmAADoHkqHA20Si8WUyWSa6mlpRjqdVqlUWjMvqt6cn3g8rkKhULcthUJB2Wx2TQAaHR2V5PUuZTIZRSKR8lC+sbExjY6OKpvNamhoSJI0Pz+vXC7X8DC/dDot13XXnUN18uTJNT9PTk4qn8/LcZxySAp6s4KhgO3695ak5esXpB4pOnCkbdcAAADbh+n0Yp1oP2PMkw888MADTz75ZEPHr6ys6Nw5r+rX/fffr54eOhyxN9R77X/gM3+kx1/8n7rBnNTn3/eR8vGpP/ozPeM+p9y73qlf/PHXd6XNAADsZQ8++KCeeuqpp6y1D3bievQsAUCDli/epmuvRHV35PZuNwUAAHQAYQkAqtx94I26/Pwv6bY71w7pe/nSVUnS0cH+bjQLAAB0GOOtAKDKsX3Hde38G3XUvKa87fr1FV0e+Fv1Hf4HDe5j+DIAAHsBPUsA0IAXL5zXwK2PSZIODvx2l1sDAAA6gZ4lAKiydOUF9R3+R5238+Vtz7/ilWa3tldH9x/sVtMAAEAHEZYAoMozl0oavP3P9PzKZ8vbfuCHJbMyKGNMt5oGAAA6iLAEAA148aK3rlOv6FUCAGCvICwBQANeurQkSeo3B7rcEgAA0CmEJQBowNLl85Kk/T2HutwSAADQKYQlAGiA++rLkqTBXsISAAB7BaXDAaABN/TEdfm5K3rt616z8cEAAGBXICwBQANWrg7p2iuv1/CR+7rdFAAA0CGEJQCocufg67X8wi/oluP3lre9fPmqJOnoYH+3mgUAADqMsAQAVW7Yf6euum9S9I5bytueWy6p7/CLMn3Hu9gyAADQSYQlAGjA8/ZTGrzd0dK1+yW9sdvNAQAAHUA1PACocv7qi+o9+E1dsM+Wt12VVzr81sND3WoWAADoMMISAFT59sWzOnDnR/S9lU+Xt103FyVJdxy9qVvNAgAAHUZYAoANvLK8LNN7WZJ0Z+SGLrcGAAB0CmEJaJHJyUklEgkZY2SMUTQaVSqVUrFYrPuc4eHhNcdPTEw0fL1UKqVoNLrm+YlEQqlUqvwIfp6ZmWnFr9gWxWJR6XRaqVRKw8PDSqVSKpVKocdOTEwonU5rZmZGjuNIkhzHUTabVSqValsbv+O+JEmy1ujWQ8fadh0AALC9UOABaJGxsTGNjY2VA9KZM2c0MjKy7nPm5+c1PDyskZER5XK5pq5XKBQkqRwecrmcxsbGao6bnJxUOp1WPB7X3NxcU9dotyAcTk9Pl7dlMhklEgmNj4+H/pvMzMzUhL9YLNbW3+25l38kSTIrB9TXy59NAAD2CnqWgBaLx+OSpMXFxQ2PLZVKSiaTTQelSseOHVvztdrY2JjGx8dVKpWUyWQ2fZ1WcxxHCwsLGh8fX7M9n88rHo9rYmIitFduZGREyWRSsVhMIyMjyufzmp+fVyQSaVnb9vV4fxqvr6xIkp4774WlPh1q2TUAAMD2R1gCWmx4eFiSGurpOH36tPL5fLubVA5Jk5OTbb9Wo/L5vE6ePBm674Mf/GD5mGq5XE6FQkHz8/Oanp4O7U3bqoP7DkiSrqwsS5IO6DZdfu5f6vjK+j2FAABgdyEsAS0Wi8UkqTynpp6JiYlyKGi3yl4n13U7cs2NlEolpdPp0AAX9M7Vm7vUbkf2ez1I16xX1GH51QO69sqP6e4Db+pKewAAQHcQltC0lUuXtHLpkqy15W32yhVv+5Ur4cf6w5kkyV696m1/9dXNH3v5snfs9eurx1675h27vNzQse3SSFgKhqAFoaDdZmdny21r5XC1rUilUopEIjpx4kTNvm4HuvuOvkbLP3yn9l96uyRp6aL3uj52cF83mwUAADqMsISmnYsndC6e0PWlpfK2hY98ROfiCf3w935vzbHffMtbdS6e0NXvv1DetvSxj+lcPKEX/uN/WnPstx9J6lw8oSvz8+Vt7mOP6Vw8oed/59+tOdZ557t0Lp7Q8lNPlbed/8xndC6e0HPvf/+aY59Jp3UuntCl2dVhcReeeKL5X7xBjYSlbDa7pXlKzQqG4VUWUnAcR4lEQsPDw4pGo2vmB83MzJT3GWNCw8vExET5kc1my5XqNupRC4yPj2tpaSk0MAbhLmyf67rla2azWWUymZZX+7s7cqeuLj6s66+8XpL0rZf/QX2H/0F9+xdaeh0AALC9UdYJaINYLCbHceS6bk1PzuTkZEcKLbiuq2KxqGw2q1gspkKhUA5yQRvn5uaUyWRqhsKNjIwoHo8rk8mEhp9UKqVcLrcmzDiOo9OnT7ek7UGoCxummM1mNT09vebfdXh4WI7j1BSL2KwD+3olSReveD2Q37z8OQ3e/hW9tDIo6Z+15BoAAGD7IyyhafeXvB4aMzhY3jb0G7+hY+97n9S39iX1mr/9G+/YgYHytuh736tIOi319q459t7HizXHRt7zHh1917tqjo39xacla2X27y9vO/KOd+jwI49IPWs7TO+Znq459tDb3tbw77sZQVhyHGdNoHBdV3Nzc20pSjA1NbUm2CwsLMh1XcXjcaVSqbrV8lKpVOi8oVgspng8XlORLghh1b0+sVisJb9XsVhUsVjU+Ph4zTVGRkZCA1HQw5RMJlsytHF/v9Qz+Kwu91yRtT+jy9fPS73SDYPRLZ8bAADsHIQlNK3nwIGabWbfPpl9tfM5Qo/t75fp79/asRVBrXxsX59MX+1Lut6x7VQ5FK/y5v3UqVM6c+ZMW645Ojpad12ndDpd7pFJJpMtuV4mk1Eul1vTwzM6Olo3lDXCdV2l0+m6605V9oxVCn6n06dPrxlquGlmWQfv/h+SpItX/rVeta9Ikm45OLT1cwMAgB2DOUtAGwTlw8+ePVveNjMzo9HR0a4UWAgCRCqVqhlW12x7IpGIcrmcJicnFY1GlUgklM1my71NW/n9Tp06pWQy2XTgCQJaq6rnDR04Uv7+Rxdf0TV5Yem2Ize05PwAAGBnICwBbVBd5MF1XRUKhbo9P50QDJHLZrNbPtf4+LgKhYKSyaQcx9HExIRSqZRSqdSmzxm0q15Qymazikaj6xaQaGQh4EYM9O+Ttd7Qzx9ceFm254Ik6Z7ozS05PwAA2BkIS0AbVIelTle/CxP0drWi98V1XSWTSRUKBS0tLWl+fl5jY2MqFouamJho+nyTk5NyHKcmKFUGo1KpJNd1QyvzBSEprAz5ZpkVb47bN374jEyPV+jh3mO3tez8AABg+yMsAW1QGZaCMtzdXt9obs4rzNFMAYSwXpywqnexWEz5fF5jY2MqFApNtatYLGpubi60R6kyYMbjcc3NzYW2PyhCsZWerWo98gqNPPmiV8rerBzUQP/+9Z4CAAB2GcIS0AaRSESRSESu62pqaqot1e+a4bpuueJddTnuYL5PWI9NdSW8QFj1PElKJBJ1izCECXqT8vl86P7KYXWZTEZTU1Ohx01PTysWi7WsdLgk9corDPKj89Ll7/2Kbr7ySy07NwAA2BkIS0CbBKGh3cPvgkBRb75OqakKF6kAAA+zSURBVFRSIpGQJOXz+ZqemXg8rlgstqYYheQtOhtUmQsWiQ24rhs692l6errhNaRc11UikdDs7KwSiUTNIxqN1qwLNTQ0VDPML5vNanZ2tjVV8CoM9hyVJH136byuXXhQ9x16uKXnBwAA2x+lw4E2icViymQyTfW0NCOdTqtUKq2ZF1Vvzk88Hq9ZlLZSoVBQNptdE4BGR0cleb1LmUxGkUikPJRvbGxMo6OjymazGhryymnPz8/XLFS7Uftd1113DtXJkyfX/Dw+Pq6ZmRllMhktLi7KdV3FYjE988wzLR/mGBv45/rKszE9d9GrgHfLkdoS9AAAYHcz1tputwEtZox58oEHHnjgySefbOj4lZUVnTt3TpJ0//33q6eHDkfsDeu99j/8uXP6w7/6tnoPPSVjrul3fvpn9P6HE91qKgAAkPTggw/qqaeeespa+2AnrkfPEgCEuPGwV8xh/9AX1HvgWV3tv1cSYQkAgL2ELgQACHHkwDX1DHxXvQeelSQ9dMt9XW4RAADoNMISAIS41PNtHbznj8s/x28lLAEAsNcQlgAgxM8Mry5w22MHdGj/wS62BgAAdANhCQBC3HDgBt1zyJs7+iuv+/UutwYAAHQDBR4AoI7/9Y4/1N88/zf6ueGf63ZTAABAFxCWAKCOGw/cqPfc955uNwMAAHQJw/AAAAAAIARhCTLGlL9fWVnpYkuAzqp8vVf+PwAAAJAIS5B3k9jX543IXF5e7nJrgM4JXu99fX2EJQAAUGNXzVkyxiQl5SWlrLXOJs8Rk5SV5PqbYpJOW2tLDT4/Iulxa22iHedvl8OHD2tpaUlLS0s6ePAgN47Y9ay1WlpakuS9/gEAAKrt+LBkjMlJikty5AWP2BbOFZf0uKREELb88DNnjMlaa2caOE3Qnnadvy2OHj2qpaUlXbhwQc8995yi0agGBgbU00PnI3aXlZUVLS8vl1/vkvf6BwAAqLbjw5K1Nht87wen5BZONy2vl6fcK2WtdY0xWUlnjDFFa61b78l+GHq0Xedvp8HBQR0/flzPP/+8Lly4UL6JBHa748ePa3BwsNvNAAAA2xDdBj5/CF9MUrF6n9/jE9H6QUiSMmHPb+H52+rIkSO6++67FY1Gy3OYgN2or69P0WhUd999t44cOdLt5gAAgG2KO+JVKf9rvblOrn/MZNhOY8y4vCF4uXacv1MGBwc1ODioW265RdZaWWu72Ryg5YwxzMkDAAANISytSkresLg6+x1JI2E7/KINrrXWWecmbNPn7xZuKgEAALCXMQxvVUSrFeqalbXWbtQjtJXzAwAAAOgwepZWHWvkIGNMpLJ3yBgzJq9ceVvOv8GxT9bZNdzI8wEAAADUR8/SqkiDx5VDjz/8LtLgGklNnx8AAABA99CztKrRIXKLFd9nrbWZNp5/XdbaB8O2+z1ODzR6HgAAAAC16Fla1VBICYbIGWNG1Njwu02dHwAAAEB3EZZWuVp/qFx5nzEmIulkg8Pvmj4/AAAAgO5jGN6qWUnxdQosxCSVKr6PG2MKIcclJaliX95fdLaZ8wMAAADoMsLSqrykMYWEFr8nSZKmJMnvUUophDFmTlLcWlu9v+HzAwAAAOi+PReW/GBywlpbrNxurS0ZYxxJo6rt4XnU/7rRWkp1tfv8Ve6Yn5/Xgw+G1n8AAAAAdqT5+XlJuqNT1zPW2k5dq+2MMdOSRiQl6s0n8ofHJSVlqheSNcbEJT3uP9/xt0UkPSPplD+cbqM2zEuKWWtNyL4tn78Rxpir8uaj/VMrzoddL1iXa76rrcBOwGsFzeD1gkbxWkEzXitpxVrb34mL7fieJX9R2Iy84W3BcLY5vxfHkReKnIqnFCSdkDeHaA2/9ychKec/f0HSSUnp6p6oqjZEJE37bYj525b8658Kgttmz78J3/SvR9cSNhQsbszrBRvhtYJm8HpBo3itoBnB66Vj19tNPUvw8EcHzeD1gkbxWkEzeL2gUbxW0IxOv14oHQ4AAAAAIQhLAAAAABCCsAQAAAAAIQhLAAAAABCCAg8AAAAAEIKeJQAAAAAIQVgCAAAAgBCEJQAAAAAIQVgCAAAAgBCEJQAAAAAIQVgCAAAAgBCEJQAAAAAIQVgCAAAAgBB93W4AWsMYE5OUleT6m2KSTltrS91rFbYrY0xSUkZSRN5rxZGU5fWCRhhjIpIet9Ymut0WbE/GmJykuFbfk/LW2mIXm4RtpuK+JXBM0pS1dqZLTcI24d+j5CWlrLXOOsd15N6XsLQLGGPikh6XlAheVP7NzJwxJssfHlQyxoxLkrU2XbEtL+/1MmGtzdZ9MuAJboSBNfybl4K8cJSq2J43xjjr3fhg7/BvhtPW2kzV9rwx5iTvQ3tPxQcsjrzQE9vg+I7d+xprbavOhS4xxszLe2OaqNo+IumMpHustW7ok7Gn+DcymbA3ImPMnLw/VCk+AUY9FW9QEWut6XZ7sH34NyrPyOulnqzYPiJp2t8+Ue/52DuMMXP1eqb9e5p1exSwu/nBaVzScL3XQSfvfZmztMP5n87EJNXc3PqpOiLp0U63C9tWRtLZOvtOVxwD1JNRyN8bQN4NymJlUPK5/oNhvgg+cFlPUVKyE23BztTpe1/C0s4XDHOo9wmMW3EMEJc0bYwZC9lXqjgGqOEP4cx1ux3Yfvxe6xFJNUNfrLVFa22UHmtUiK8TmoJ5tEA9Hb33JSztfElJWqer0ZH3BgZI3lwCV9JsyL5Ih9uCHcS/GXYZGoM6gh7pQldbgW3Pn3zvyptbsuaDO//vzDGCNTbQ0XtfwtLOF9FqFRBgXdbaCf8T3rDhMCf8rwyVQZhsyPAqIBD0EjjGmBFjTM4YM+5P2OcDO1QL5s3mjTEFY0zE72nKSXqki+3CztDRe1+q4e18xxo5yBgTocgDNhBUxzu97lHYc/xPf/Pdbge2teDDlqQkp7KIjDFm3hiTqq58hr3LWjtpjHHkFf5ISlqSVKysoAiso6P3vvQs7XyNDp1q6IWFvcmfLJmUNMFaS6jkD4uJ8LrABoL3ouGQIVQZSWP+3xkg4MiboB+8XpJBL1MX24SdoaP3voSlna/RxLzY1lZgx/LfmKYlzbC2BUJQ7hnNqJmzVBGeKA4CSeXyznlrbdrvTUrLu59JSnqGwIQNdPTel7C08zX0QmAIHtZxRt7wh/SGR2JPCW5out0O7AjBe8x61amotImgdHiucsidX+75Hnm9TBF570tAPR299yUs7Xyu1u+O5NMZ1OUv/CaCEqr5n+yeZPgdGtRQlUR6DCCvh7Gml9Fa6/oBakZU8cX6OnrvS1ja+Waldd+AYqK6GUL4k/Zj1UHJn6MCxOSthVKofsi/kanYxo0NgqF2696kMMoB8oqBhC1fEchKBGusq6P3voSlnS8YIlNzg1vxIprqXHOwE/gTrRN1epSYtwRZa0vW2lTYQ/6bUMW2moVIsecE7zP1PmyJiA/u4HFU/3UieUOsXII11tHRe1/C0g7nD5FxJI2G7H7U/8raKCjze47S65TxpXIigKb470UlhbwXVVTBO9XRRmG7mtLqIsZhxsR9C9bR6XtfwtLukJZXlrWcsP1knZN3U8ynM5BUfl3MSTphjJkLeSypwbkH2NMYHoMwaXnln8vDMv2/OXl5VRXpWYKC6pr+gsVr/pb4w8NPUpl1zwvuZ9d7r+nYva+x1rbqXOgi/8WSk3ejuyDppLyynNXrXWAP8+ebbLTWSZphVahWUWI+ptU3Mlfe35xT3AhDWvNeVIn3ItTwQ3XQwxTc2E7x/rM3+UE5I+/9pTIkOf4jY611qp7TkXtfwhIAAAAAhGAYHgAAAACEICwBAAAAQAjCEgAAAACEICwBAAAAQAjCEgAAAACEICwBAAAAQAjCEgAAAACEICwBAAAAQAjCEgAAAACEICwBAAAAQAjCEgAAAACEICwBAAAAQAjCEgAA25gxJmKMWap4xJt47njF8+ba2U4A2I2MtbbbbQAAAHUYYyKSHrfWJrZ4nnlr7XCLmgUAe0JftxsAAEA9xphpSZU9Ka7/NVK1bVHSsartaWttKeRcCWutKwAANkBYAgBsZzFJjqSMtdYJNhpjkpIKkpzqHhdjzIikM/5zSxW7kvLCVPV2AABCEZYAANtZRNIjIT1Bi/7Xmh4ia+2MMSYmLxRVSkiKVPY2AQCwHgo8AAC2s9Imh8zNSBqq3GCtdQhKAIBmEJYAANuZs/Ehtfwhe5ENDwQAYB2EJQDAtuRXgSts4RSUygYAbAlzlgAA25I//K64hedPSqult+X1NB2TVyWv6O+LSZrWauGHoLT2iP81Ja+IRMY/fkTSSX9fXN4wwWzY9f1jU5Lm5Q0JjEjKtrISnzFmvOLHIUkLfvuylQUxAACbQ1gCAOxq1lrXGPOIpA9KGq/a5/j7cpLG5AWmmLV2wj9kwhgz75cdn5LkBuHID1rz/vpFk5Xn9Y+PVVbq88PTM8aYRCuCjDGmIC8UVZZHj/m/JwCgBRiGBwDY9fzenNAhfVX7MtXBR17v1oi88FOseJ4jb05VuvJgY8yYf/ya7dbaGf/43OZ/k/I1IpKS1QUr/DZVtx8AsEmEJQAAVkuQn11nX9iQQFfe0L5KOXk9UGG9R0HwagljTN4PTpWmtFpaHQCwBQzDAwBg1XrD4+rtK4cVP7hEJDlV84kC8eC4rcxd8ocWZuUPHzTGlOQFsUJl7xcAYGsISwAArNpq8YVgIdxSxbynSmHbNsVaO+GHpKykE/LmY40bY4rW2lSrrgMAexnD8AAAaJGKOUSxdQ9sAb93qmitTVlro/Iq+U1KStbp1QIANImwBABAa5XkD7cL41es25KwqnfW2qDE+aS8kuUAgC0iLAEA0FqnJMkYk6yzf8vV8HxjdbbPaf25VwCABhGWAAA7UVCBrroS3HoiVV+b3Vdd9S7Yt2a7PxQvK2m6uhfJHx53utEGbyBijAkLXmlJ+RZdAwD2NGOt7XYbAADYkL9+UVr+wrEVu1x5PSmLktLVVeb8wDLtPycSHG+tTdTb518nLm+oWzCkzvGfl/JDz2jFvpKkYrBgrX/d4PmOpAVJQ5LyzS5I61fYe7xqgduYvECW99ux4O8a9q9RCjnPvLV2uJlrA8BeR1gCAGAbCwtLmzwPYQkAmsQwPAAAAAAIQVgCAAAAgBCEJQAAAAAIQVgCAAAAgBCEJQAAtr+4MWbJf9Rd8LaaMWY8eF47GwcAuxXV8AAAAAAgBD1LAAAAABCCsAQAAAAAIQhLAAAAABCCsAQAAAAAIQhLAAAAABCCsAQAAAAAIQhLAAAAABCCsAQAAAAAIQhLAAAAABCCsAQAAAAAIQhLAAAAABCCsAQAAAAAIQhLAAAAABDi/wNXPWuEn7KemAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsat_v_headers = [ss.TDS.plt._fname[i + 1 + ss.dae.n] for i in ss.GENROU.v.a]\n",
    "tsat_v_headers = [i.replace('GENROU', 'TSAT') for i in tsat_v_headers]\n",
    "\n",
    "fig, ax = plot_comparison(ss, ss.GENROU.v,\n",
    "                          v_lt2s, a=[0, 5],\n",
    "                          ylabel=\"Terminal Voltage [p.u.]\",\n",
    "                          tsat_header=tsat_v_headers, right=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Appendix\n",
    "\n",
    "CURENT NPCC 140-Bus System Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Power Flow Data (PSS/E RAW format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0,   100.00,  32, 0, 1, 60.00     / PSS(R)E 32 RAW created by rawd32  MON, JUN 22 2015   8:32\n",
      "CURENT NPCC 48-MACHINE TESTBED, CONVERTED FROM PST BY BIN WANG\n",
      "REVISED BY YIN LEI, 11/18/2013\n",
      "     1,'MILLSTONE PT', 345.0000,1,   1,   1,   1,1.01517,   4.8434\n",
      "     2,'MONTVILLE   ', 345.0000,1,   1,   1,   1,1.01090,   4.0566\n",
      "     3,'MONTVILLE   ', 115.0000,1,   1,   1,   1,0.99170,   4.0069\n",
      "     4,'MONTVILLE   ', 345.0000,1,   1,   1,   1,1.01125,   4.1005\n",
      "     5,'CARD ST     ', 345.0000,1,   1,   1,   1,1.00618,   2.3527\n",
      "     6,'SHERMAN RD  ', 345.0000,1,   1,   1,   1,1.00594,   1.8603\n",
      "     7,'MEDWAY      ', 345.0000,1,   1,   1,   1,1.02071,   3.2654\n",
      "     8,'MILLBURY    ', 115.0000,1,   1,   1,   1,1.02151,   1.9975\n",
      "     9,'CARPENTER HL', 115.0000,1,   1,   1,   1,1.01811,   1.0727\n",
      "    10,'BRAYTON PT  ', 115.0000,1,   1,   1,   1,1.03060,   8.0176\n",
      "    11,'BRAYTON PT  ', 115.0000,1,   1,   1,   1,1.01169,   6.7075\n",
      "    12,'BRIDGEWATER ', 115.0000,1,   1,   1,   1,1.02371,   5.9431\n",
      "    13,'PILGRIM     ', 345.0000,1,   1,   1,   1,1.04565,  10.6737\n",
      "    14,'CANAL       ', 345.0000,1,   1,   1,   1,1.03950,  10.3866\n",
      "    15,'WALPOLA     ', 345.0000,1,   1,   1,   1,1.02697,   3.4395\n",
      "    16,'VERMONT YNK ', 345.0000,1,   1,   1,   1,1.04108,   4.4713\n",
      "    17,'SCOBIE      ', 345.0000,1,   1,   1,   1,1.04016,   3.2759\n",
      "    18,'SANDY POND  ', 115.0000,1,   1,   1,   1,1.02570,   1.5065\n",
      "    19,'POWNAL      ', 345.0000,1,   1,   1,   1,1.04132,   6.4689\n",
      "    20,'MAINE YANKEE', 345.0000,1,   1,   1,   1,1.04211,   9.1477\n",
      "    21,'MILLSTONE PT',  24.0000,2,   1,   1,   1,1.04860,  11.8582\n",
      "    22,'BRAYTON PT  ',  18.0000,2,   1,   1,   1,1.05930,  12.6562\n",
      "    23,'BRAYTON PT  ',  20.0000,2,   1,   1,   1,1.01570,  11.7526\n",
      "    24,'PILGRIM     ',  22.8000,2,   1,   1,   1,1.07625,  15.7768\n",
      "    25,'CANAL       ',  20.0000,2,   1,   1,   1,1.06000,  18.3042\n",
      "    26,'MAINE YANKEE',  20.0000,2,   1,   1,   1,1.04550,  15.7134\n",
      "    27,'VERMONT YNK ',  22.0000,2,   1,   1,   1,1.04550,  11.0690\n",
      "    28,'NORTHFIELD  ',  13.8000,1,   1,   1,   1,1.02751,   3.2234\n",
      "    29,'NORTHFIELD  ', 345.0000,1,   1,   1,   1,1.02751,   3.2234\n",
      "    30,'LUDLOW      ', 345.0000,1,   1,   1,   1,1.01622,   0.7209\n",
      "    31,'MANCHESTER  ', 345.0000,1,   1,   1,   1,0.99761,   0.3966\n",
      "    32,'SCOVILL ROCK', 345.0000,1,   1,   1,   1,1.00329,   1.8450\n",
      "    33,'HADDAM NECK ', 345.0000,1,   1,   1,   1,1.00627,   2.5437\n",
      "    34,'BLACK POND  ', 345.0000,1,   1,   1,   1,0.99603,   0.4986\n",
      "    35,'SOUTHINGTEN ', 345.0000,1,   1,   1,   1,0.99524,   0.0743\n",
      "    36,'CONN YANKEE ', 345.0000,2,   1,   1,   1,1.04860,   9.9630\n",
      "    37,'NEW SEATHED ', 345.0000,1,   2,   1,   1,1.04419,   4.6062\n",
      "    38,'GILBOA      ', 345.0000,1,   2,   1,   1,1.04210,   6.9752\n",
      "    39,'LEEDS       ', 345.0000,1,   2,   1,   1,1.04100,   3.2739\n",
      "    40,'NEW SEATHED ', 230.0000,1,   2,   1,   1,1.03072,   0.5762\n",
      "    41,'ROTTERDAM   ', 115.0000,1,   2,   1,   1,1.02634,  -3.3709\n",
      "    42,'ALBANY      ', 115.0000,2,   2,   1,   1,1.04000,  -2.5665\n",
      "    43,'EDIC        ', 345.0000,1,   2,   1,   1,1.04908,   8.3430\n",
      "    44,'PORTER      ', 230.0000,1,   2,   1,   1,1.04792,   6.5696\n",
      "    45,'PORTER      ', 115.0000,1,   2,   1,   1,1.04349,   3.9472\n",
      "    46,'COLTON      ', 115.0000,1,   2,   1,   1,1.04781,   6.1850\n",
      "    47,'MOSES W     ', 230.0000,2,   2,   1,   1,1.03000,  11.6793\n",
      "    48,'MOSES E     ', 230.0000,2,   2,   1,   1,1.05000,  15.0127\n",
      "    49,'PLATTSBURGH ', 115.0000,1,   2,   1,   1,0.96523,  -1.1162\n",
      "    50,'CLAY        ', 345.0000,2,   2,   1,   1,1.05000,  13.2144\n",
      "    51,'CLAY        ', 115.0000,2,   2,   1,   1,1.04000,   8.5283\n",
      "    52,'ROCHESTER   ', 345.0000,1,   2,   1,   1,1.04193,  19.4130\n",
      "    53,'ROCHESTER   ', 115.0000,2,   2,   1,   1,1.03000,  18.0053\n",
      "    54,'NIAGARA W   ', 230.0000,2,   2,   1,   1,1.04080,  26.9321\n",
      "    55,'NIAGARA E   ', 230.0000,2,   2,   1,   1,1.04000,  26.2095\n",
      "    56,'HUNTLEY     ', 230.0000,2,   2,   1,   1,1.03000,  26.8995\n",
      "    57,'HUNTLEY     ', 115.0000,2,   2,   1,   1,1.03000,  25.7233\n",
      "    58,'GARDENVILLE ', 230.0000,1,   2,   1,   1,1.01010,  24.5883\n",
      "    59,'GARDENVILLE ', 115.0000,1,   2,   1,   1,0.99669,  22.1857\n",
      "    60,'DUNKIRK     ', 230.0000,2,   2,   1,   1,1.04000,  30.2181\n",
      "    61,'DUNKIRK     ', 115.0000,2,   2,   1,   1,1.04000,  26.7270\n",
      "    62,'STOLLE RD   ', 230.0000,1,   2,   1,   1,1.01628,  23.9633\n",
      "    63,'MEYER       ', 230.0000,1,   2,   1,   1,1.00548,  17.6467\n",
      "    64,'MEYER       ', 115.0000,1,   2,   1,   1,1.00715,  14.5476\n",
      "    65,'GESONIDGE   ', 115.0000,2,   2,   1,   1,1.04000,  15.7558\n",
      "    66,'WATERCURE   ', 345.0000,1,   2,   1,   1,1.01975,  20.8736\n",
      "    67,'WRHL        ', 230.0000,1,   2,   1,   1,1.00265,  16.6813\n",
      "    68,'HILLSIDE    ', 115.0000,2,   2,   1,   1,0.99000,  12.7432\n",
      "    69,'BINGHAMTON  ', 345.0000,1,   2,   1,   1,1.01948,  14.3356\n",
      "    70,'BINGHAMTON  ', 230.0000,1,   2,   1,   1,0.99894,  13.5662\n",
      "    71,'BINGHAMTON  ', 115.0000,2,   2,   1,   1,1.00000,  11.1142\n",
      "    72,'LAPEER      ', 115.0000,2,   2,   1,   1,1.05000,  10.1183\n",
      "    73,'PLEASANT VLY', 345.0000,1,   3,   1,   1,1.03292,   1.6376\n",
      "    74,'MILLWOOD    ', 345.0000,1,   3,   1,   1,1.02708,   0.2979\n",
      "    75,'RAMAPO      ', 138.0000,1,   3,   1,   1,1.04944,   1.2631\n",
      "    76,'RAMAPO      ', 345.0000,1,   3,   1,   1,1.04639,   0.7974\n",
      "    77,'BUCHANAN    ', 345.0000,1,   3,   1,   1,1.03539,   0.5458\n",
      "    78,'CE UG       ', 345.0000,3,   3,   1,   1,1.02000,   0.0000\n",
      "    79,'RAV A-3     ',  22.0000,2,   3,   1,   1,1.05000,   8.1715\n",
      "    80,'NORTHPORT   ', 138.0000,2,   3,   1,   1,1.02320,   0.6309\n",
      "    81,'GOETHALS    ', 345.0000,1,   3,   1,   1,1.02198,  -3.2846\n",
      "    82,'AK-3        ',  22.0000,2,   3,   1,   1,1.05000,   7.5680\n",
      "    83,'KEITH       ', 220.0000,1,   4,   1,   1,0.95576,  22.9842\n",
      "    84,'KEITH JCT   ', 118.1000,1,   4,   1,   1,0.96323,  23.4874\n",
      "    85,'LAMBTON     ', 220.0000,1,   4,   1,   1,0.99128,  36.4486\n",
      "    86,'LAMBTON     ',  24.0000,2,   4,   1,   1,1.00000,  41.7274\n",
      "    87,'LAMBTON     ', 220.0000,1,   4,   1,   1,1.01813,  33.6520\n",
      "    88,'SCOTT       ', 220.0000,1,   4,   1,   1,0.97335,  32.8563\n",
      "    89,'SCOTT       ', 220.0000,1,   4,   1,   1,0.95584,  30.2514\n",
      "    90,'VIDA        ', 220.0000,1,   4,   1,   1,0.95411,  30.1020\n",
      "    91,'RICHVIEW    ', 220.0000,2,   4,   1,   1,1.04000,  11.2134\n",
      "    92,'HANMER      ', 500.0000,2,   4,   1,   1,1.04000,  18.6819\n",
      "    93,'ESSA        ', 220.0000,1,   4,   1,   1,0.96211,   7.5454\n",
      "    94,'ORANGEVILLE ', 220.0000,1,   4,   1,   1,0.95948,   7.7792\n",
      "    95,'DES JOAC    ', 220.0000,1,   4,   1,   1,0.97264,  14.6338\n",
      "    96,'HOLDEN      ',  13.8000,1,   4,   1,   1,1.02323,  15.2006\n",
      "    97,'MARTINDELE  ', 220.0000,2,   4,   1,   1,1.04000,  14.0482\n",
      "    98,'STLA        ', 220.0000,2,   4,   1,   1,1.04000,  31.9721\n",
      "    99,'PVR         ', 220.0000,1,   4,   1,   1,1.03842,  31.3229\n",
      "   100,'PHAS        ', 220.0000,1,   4,   1,   1,1.03248,  26.3181\n",
      "   101,'SAB 2       ', 220.0000,2,   4,   1,   1,1.05000,  24.3484\n",
      "   102,'BP 76       ', 220.0000,1,   4,   1,   1,1.04550,  25.5246\n",
      "   103,'PA 27       ', 220.0000,1,   4,   1,   1,1.04629,  25.3162\n",
      "   104,'BEACH       ', 220.0000,1,   4,   1,   1,0.99699,  13.1740\n",
      "   105,'BUCHANAN    ', 220.0000,1,   4,   1,   1,0.97457,  24.1225\n",
      "   106,'NEALE       ', 220.0000,1,   4,   1,   1,0.99289,  14.5859\n",
      "   107,'NEALE       ', 220.0000,1,   4,   1,   1,1.00616,  15.9332\n",
      "   108,'S CT        ', 220.0000,1,   4,   1,   1,1.00033,  13.9155\n",
      "   109,'SLT         ', 220.0000,1,   4,   1,   1,1.00029,  13.8910\n",
      "   110,'BURLINGTON  ', 220.0000,1,   4,   1,   1,1.00281,  12.4399\n",
      "   111,'DETWIERER   ', 220.0000,1,   4,   1,   1,0.96194,  10.0383\n",
      "   112,'CHATHAM     ', 220.0000,1,   4,   1,   1,0.97541,  29.6056\n",
      "   113,'LAUZON      ', 118.1000,1,   4,   1,   1,0.95230,  22.4473\n",
      "   114,'MARYSVILLE  ', 220.0000,1,   5,   1,   1,0.95972,  30.6392\n",
      "   115,'ST CLAIR    ', 500.0000,2,   5,   1,   1,1.02000,  33.4478\n",
      "   116,'WATERMAN    ', 220.0000,1,   5,   1,   1,0.99338,  26.8500\n",
      "   117,'PONTIAC     ', 230.0000,1,   5,   1,   1,1.00506,  30.8651\n",
      "   118,'WAYNE       ', 115.0000,1,   5,   1,   1,0.99857,  31.7891\n",
      "   119,'THETFORD    ', 220.0000,2,   5,   1,   1,1.00000,  30.2408\n",
      "   120,'ARGENTA     ', 220.0000,2,   5,   1,   1,1.02000,  26.6696\n",
      "   121,'SC415       ', 220.0000,2,   5,   1,   1,1.04000,  32.8926\n",
      "   122,'WATERMAN    ', 220.0000,2,   5,   1,   1,1.05000,  32.3212\n",
      "   123,'MONROE      ', 230.0000,2,   5,   1,   1,1.01000,  37.6123\n",
      "   124,'BRANCHBURG  ', 230.0000,1,   6,   1,   1,1.04471,   2.3841\n",
      "   125,'LINDON      ', 230.0000,1,   6,   1,   1,1.02196,  -3.4160\n",
      "   126,'HUDSON      ', 230.0000,1,   6,   1,   1,1.02261,  -5.3945\n",
      "   127,'ALBURTIS    ', 500.0000,1,   6,   1,   1,1.04853,   6.5520\n",
      "   128,'WHITPAIN    ', 500.0000,1,   6,   1,   1,1.03926,   2.7377\n",
      "   129,'KEENEY      ', 500.0000,1,   6,   1,   1,1.02303,   8.9401\n",
      "   130,'PEACH BOTTOM', 500.0000,2,   6,   1,   1,1.02000,  12.1966\n",
      "   131,'CONASTONE   ', 500.0000,1,   6,   1,   1,1.02604,  13.4125\n",
      "   132,'JUNIATA     ', 500.0000,1,   6,   1,   1,1.03978,  19.5565\n",
      "   133,'CONEMAUGH   ', 500.0000,2,   6,   1,   1,1.02000,  34.3480\n",
      "   134,'HOMER CITY  ', 230.0000,2,   6,   1,   1,1.03000,  25.5764\n",
      "   135,'KEYSTONE    ', 500.0000,2,   6,   1,   1,1.02000,  35.0063\n",
      "   136,'ERIE W      ', 345.0000,1,   6,   1,   1,1.00058,  19.7176\n",
      "   137,'ERIE S      ', 230.0000,2,   6,   1,   1,1.04000,  20.3245\n",
      "   138,'E TOMANO    ', 230.0000,1,   6,   1,   1,0.97073,  13.5527\n",
      "   139,'KYGER       ', 345.0000,2,   6,   1,   1,1.01000,  29.3780\n",
      "   140,'TE          ', 230.0000,1,   6,   1,   1,1.04132,  30.2102\n",
      " 0 /End of Bus data, Begin Load data\n",
      "     3,'1 ',1,   1,   1,     9.000,    88.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "     6,'1 ',1,   1,   1,   320.000,   153.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "     7,'1 ',1,   1,   1,   329.000,    32.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "     9,'1 ',1,   1,   1,   158.000,    30.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    11,'1 ',1,   1,   1,   680.000,   103.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    12,'1 ',1,   1,   1,   274.000,   115.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    14,'1 ',1,   1,   1,   248.000,    85.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    15,'1 ',1,   1,   1,   309.000,   -92.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    16,'1 ',1,   1,   1,   224.000,    47.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    17,'1 ',1,   1,   1,   139.000,    17.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    18,'1 ',1,   1,   1,   281.000,    76.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    19,'1 ',1,   1,   1,   206.000,    28.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    20,'1 ',1,   1,   1,   284.000,    27.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    30,'1 ',1,   1,   1,   322.000,     2.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    31,'1 ',1,   1,   1,   500.000,   184.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    34,'1 ',1,   1,   1,   234.000,    84.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    35,'1 ',1,   1,   1,   522.000,   177.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    36,'1 ',1,   1,   1,     9.000,     5.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    41,'1 ',1,   2,   1,   700.000,   125.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    42,'1 ',1,   2,   1,   177.000,    17.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    45,'1 ',1,   2,   1,   256.000,    17.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    46,'1 ',1,   2,   1,   177.000,    25.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    46,'2 ',1,   2,   1,  -154.000,   -67.500,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    47,'1 ',1,   2,   1,   528.000,   100.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    49,'1 ',1,   2,   1,   208.000,    17.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    51,'1 ',1,   2,   1,   731.000,    75.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    53,'1 ',1,   2,   1,   923.000,   250.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    54,'1 ',1,   2,   1,    20.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    55,'1 ',1,   2,   1,   939.000,   132.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    56,'1 ',1,   2,   1,   172.000,    44.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    57,'1 ',1,   2,   1,   240.000,    -6.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    58,'1 ',1,   2,   1,    84.000,    38.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    59,'1 ',1,   2,   1,   705.000,   198.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    61,'1 ',1,   2,   1,   237.000,     8.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    64,'1 ',1,   2,   1,   143.000,    25.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    65,'1 ',1,   2,   1,    91.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    68,'1 ',1,   2,   1,   211.000,    41.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    71,'1 ',1,   2,   1,   371.000,    53.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    74,'1 ',1,   3,   1,   102.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    78,'1 ',1,   3,   1,  2000.000,   600.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    80,'1 ',1,   3,   1,   700.000,    25.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    83,'1 ',1,   4,   1,    80.000,    16.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    85,'1 ',1,   4,   1,    18.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    86,'1 ',1,   4,   1,    50.000,    25.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    88,'1 ',1,   4,   1,   110.000,    55.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    89,'1 ',1,   4,   1,   100.000,    70.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    90,'1 ',1,   4,   1,   115.000,    45.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    91,'1 ',1,   4,   1,  1650.000,   500.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    92,'1 ',1,   4,   1,    10.000,   320.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    93,'1 ',1,   4,   1,   125.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    94,'1 ',1,   4,   1,    95.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    95,'1 ',1,   4,   1,    25.000,   100.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    95,'2 ',1,   4,   1,  -125.000,   -13.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    96,'1 ',1,   4,   1,    20.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    96,'2 ',1,   4,   1,   -60.000,   -25.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    97,'1 ',1,   4,   1,   910.000,    50.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   101,'1 ',1,   4,   1,   350.000,   130.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   104,'1 ',1,   4,   1,   200.000,    90.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   105,'1 ',1,   4,   1,   325.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   106,'1 ',1,   4,   1,     0.000,   -12.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   107,'1 ',1,   4,   1,     0.000,   -19.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   108,'1 ',1,   4,   1,     0.000,   -13.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   109,'1 ',1,   4,   1,     0.000,   -13.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   110,'1 ',1,   4,   1,   718.000,   125.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   111,'1 ',1,   4,   1,   399.000,    45.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   113,'1 ',1,   4,   1,   206.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   114,'1 ',1,   5,   1,     0.000,    90.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   115,'1 ',1,   5,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   116,'1 ',1,   5,   1,   200.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   117,'1 ',1,   5,   1,   400.000,    97.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   118,'1 ',1,   5,   1,   280.000,    86.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   119,'1 ',1,   5,   1,   750.000,   200.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   120,'1 ',1,   5,   1,   946.000,   -40.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   123,'1 ',1,   5,   1,    63.000,    10.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   124,'1 ',1,   6,   1,   370.000,    71.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   124,'2 ',1,   6,   1,     0.000,   -22.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   125,'1 ',1,   6,   1,   320.000,     5.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   126,'1 ',1,   6,   1,   450.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   127,'1 ',1,   6,   1,   200.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   127,'2 ',1,   6,   1,     0.000,  -150.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   128,'1 ',1,   6,   1,   970.000,    60.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   128,'2 ',1,   6,   1,     0.000,  -162.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   129,'1 ',1,   6,   1,   610.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   129,'2 ',1,   6,   1,     0.000,   -50.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   130,'1 ',1,   6,   1,   180.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   131,'1 ',1,   6,   1,  1160.000,   468.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   131,'2 ',1,   6,   1,     0.000,  -900.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   132,'1 ',1,   6,   1,   210.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   132,'2 ',1,   6,   1,     0.000,  -337.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   135,'1 ',1,   6,   1,   170.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   136,'1 ',1,   6,   1,   270.000,   223.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   138,'1 ',1,   6,   1,   110.000,    64.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      " 0 /End of Load data, Begin Fixed shunt data\n",
      " 0 /End of Fixed shunt data, Begin Generator data\n",
      "    21,'1 ',   650.000,   215.117,   999.000,  -999.000,1.04860,     0,   750.000, 0.00000E+0, 2.17500E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    22,'1 ',   632.000,   208.118,   999.000,  -999.000,1.05930,     0,   700.000, 0.00000E+0, 2.06500E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    23,'1 ',   276.650,    10.788,   999.000,  -999.000,1.01570,     0,   300.000, 0.00000E+0, 9.99000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    23,'2 ',   226.350,     8.827,  9999.000, -9999.000,1.01570,     0,   300.000, 0.00000E+0, 2.23500E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    24,'1 ',   700.000,   261.533,   999.000,  -999.000,1.07625,     0,   800.000, 0.00000E+0, 2.32000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    25,'1 ',   560.000,   108.222,   999.000,  -999.000,1.06000,     0,   650.000, 0.00000E+0, 2.09300E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    26,'1 ',   800.000,    27.488,   999.000,  -999.000,1.04550,     0,   900.000, 0.00000E+0, 2.81700E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    27,'1 ',   540.000,    37.044,   999.000,  -999.000,1.04550,     0,   600.000, 0.00000E+0, 1.80000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    36,'1 ',   554.000,   217.901,   999.000,  -999.000,1.04860,     0,   650.000, 0.00000E+0, 2.99000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    42,'1 ',   370.000,   134.949,   999.000,  -999.000,1.04000,     0,   400.000, 0.00000E+0, 1.78000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    47,'1 ',   400.000,    -3.268,   999.000,  -999.000,1.03000,     0,   450.000, 0.00000E+0, 3.51900E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    48,'1 ',   400.000,   107.452,   999.000,  -999.000,1.05000,     0,   500.000, 0.00000E+0, 3.91000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    50,'1 ',   600.000,    41.180,   999.000,  -999.000,1.05000,     0,   700.000, 0.00000E+0, 2.95000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    51,'1 ',   141.000,    20.685,   999.000,  -999.000,1.04000,     0,   150.000, 0.00000E+0, 6.19500E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    53,'1 ',   833.000,   173.977,   999.000,  -999.000,1.03000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    54,'1 ',   557.500,    -0.649,   999.000,  -999.000,1.04080,     0,   650.000, 0.00000E+0, 3.25000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    54,'2 ',   557.500,    -0.649,  9999.000, -9999.000,1.04080,     0,   650.000, 0.00000E+0, 3.25000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    55,'1 ',  1095.000,   148.655,   999.000,  -999.000,1.04000,     0,  1200.000, 0.00000E+0, 3.62400E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    56,'1 ',   410.000,    87.207,   999.000,  -999.000,1.03000,     0,   500.000, 0.00000E+0, 2.57500E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    57,'1 ',   298.000,     3.534,   999.000,  -999.000,1.03000,     0,   350.000, 0.00000E+0, 1.62400E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    60,'1 ',   410.000,    54.828,   999.000,  -999.000,1.04000,     0,   450.000, 0.00000E+0, 2.35350E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    61,'1 ',   194.000,    13.180,   999.000,  -999.000,1.04000,     0,   200.000, 0.00000E+0, 1.89400E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    65,'1 ',    91.000,    51.625,   999.000,  -999.000,1.04000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    68,'1 ',    66.000,    -0.140,   999.000,  -999.000,0.99000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    71,'1 ',   134.000,  -373.660,   999.000,  -999.000,1.00000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    72,'1 ',   150.000,   379.422,   999.000,  -999.000,1.05000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    78,'1 ',   466.019,    74.010,   999.000,  -999.000,1.02000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    79,'1 ',  1000.000,   257.345,   999.000,  -999.000,1.05000,     0,  1150.000, 0.00000E+0, 3.22000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    80,'1 ',   720.000,    -0.078,   999.000,  -999.000,1.02320,     0,   800.000, 0.00000E+0, 2.00000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    82,'1 ',   460.000,   125.095,   999.000,  -999.000,1.05000,     0,   500.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    86,'1 ',  1650.000,   251.799,   999.000,  -999.000,1.00000,     0,  1900.000, 0.00000E+0, 1.90000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    91,'1 ',   930.000,  1082.086,  9999.000, -9999.000,1.04000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    92,'1 ',   450.000,   324.468,   999.000,  -999.000,1.04000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    97,'1 ',   600.000,    96.902,   999.000,  -999.000,1.04000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "    98,'1 ',   585.000,    33.013,   999.000,  -999.000,1.04000,     0,   650.000, 0.00000E+0, 9.75000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   101,'1 ',  1200.000,   506.878,   999.000,  -999.000,1.05000,     0,  1350.000, 0.00000E+0, 2.29500E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   115,'1 ',   550.000,   269.536,   999.000,  -999.000,1.02000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   119,'1 ',   550.000,   145.624,   999.000,  -999.000,1.00000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   120,'1 ',   700.000,    57.157,   999.000,  -999.000,1.02000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   121,'1 ',   145.000,   157.850,   999.000,  -999.000,1.04000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   122,'1 ',   155.000,   127.774,   999.000,  -999.000,1.05000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   123,'1 ',   655.000,    58.623,   999.000,  -999.000,1.01000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   130,'1 ',   490.000,  -467.860,   999.000,  -999.000,1.02000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   133,'1 ',  1700.000,  -141.013,   999.000,  -999.000,1.02000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   134,'1 ',   880.000,    43.093,   999.000,  -999.000,1.03000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   135,'1 ',  2330.000,  -100.279,   999.000,  -999.000,1.02000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   137,'1 ',    70.000,   174.600,   999.000,  -999.000,1.04000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      "   139,'1 ',   115.000,    18.439,   999.000,  -999.000,1.01000,     0,   100.000, 0.00000E+0, 2.00000E-2, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000, -9999.000,   1,1.0000\n",
      " 0 /End of Generator data, Begin Branch data\n",
      "     1,      2,'1 ', 4.00000E-4, 4.30000E-3,   0.07000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     1,      4,'1 ', 4.00000E-4, 4.30000E-3,   0.07000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     2,     33,'1 ', 7.00000E-4, 8.20000E-3,   0.14000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "     4,      5,'1 ', 9.00000E-4, 1.01000E-2,   0.17000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     5,      6,'1 ', 1.80000E-3, 2.17000E-2,   0.37000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     5,     31,'1 ', 8.00000E-4, 1.29000E-2,   0.14000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "     6,      7,'1 ', 9.00000E-4, 9.40000E-3,   0.17000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     7,      8,'1 ', 7.00000E-4, 8.90000E-3,   0.13000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     7,     10,'1 ', 1.60000E-3, 1.95000E-2,   0.30000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     7,     12,'1 ', 8.00000E-4, 1.35000E-2,   0.25000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     7,     15,'1 ', 3.00000E-4, 5.90000E-3,   0.07000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     8,      9,'1 ', 7.00000E-4, 8.20000E-3,   0.13000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     8,     18,'1 ', 1.30000E-3, 1.73000E-2,   0.32000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     9,     30,'1 ', 1.10000E-3, 1.33000E-2,   0.21000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    12,     13,'1 ', 8.00000E-4, 1.40000E-2,   0.26000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    13,     14,'1 ', 6.00000E-4, 9.60000E-3,   0.18000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    14,     15,'1 ', 2.20000E-3, 3.50000E-2,   0.36000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    16,     17,'1 ', 3.20000E-3, 3.23000E-2,   0.53000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    16,     29,'1 ', 7.00000E-3, 8.60000E-3,   0.15000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    17,     18,'1 ', 1.40000E-3, 1.47000E-2,   0.24000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    17,     19,'1 ', 4.30000E-3, 4.74000E-2,   0.78000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    17,     20,'1 ', 5.70000E-3, 6.25000E-2,   1.03000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    19,     20,'1 ', 1.40000E-3, 1.51000E-2,   0.25000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    29,     30,'1 ', 1.30000E-3, 1.51000E-2,   0.26000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    29,     37,'1 ', 3.50000E-3, 4.11000E-2,   0.70000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    30,     31,'1 ', 1.30000E-3, 2.13000E-2,   0.22000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    31,     32,'1 ', 8.00000E-4, 1.28000E-2,   0.13000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    32,     33,'1 ', 2.00000E-4, 2.60000E-3,   0.04000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    32,     35,'1 ', 8.00000E-4, 1.12000E-2,   0.15000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    33,     34,'1 ', 6.00000E-4, 9.20000E-3,   0.11000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    34,     35,'1 ', 4.00000E-4, 4.60000E-3,   0.08000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    35,     73,'1 ', 2.30000E-3, 3.63000E-2,   0.38000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    37,     38,'1 ', 1.60000E-3, 1.63000E-2,   0.25000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    37,     39,'1 ', 8.00000E-4, 7.40000E-3,   0.48000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
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      "    95,     96,'1 ', 1.36000E-2, 9.55000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    96,     97,'1 ', 1.60000E-2, 7.67000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    98,     99,'1 ', 3.00000E-4, 9.20000E-3,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    99,    100,'1 ', 1.00000E-3, 7.02000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   101,    104,'1 ', 7.70000E-3, 7.73000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   101,    105,'1 ', 1.88000E-2, 1.49300E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   101,    107,'1 ', 7.60000E-3, 7.51000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   101,    108,'1 ', 7.80000E-3, 7.72000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   101,    109,'1 ', 7.80000E-3, 7.83000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   101,    110,'1 ', 4.82000E-2, 2.63600E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   104,    106,'1 ', 1.80000E-3, 1.80000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   104,    110,'1 ', 6.00000E-4, 6.20000E-3,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   105,    106,'1 ', 1.65000E-2, 1.15600E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   105,    107,'1 ', 1.15000E-2, 1.10300E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   105,    111,'1 ', 1.31000E-2, 8.09000E-2,   0.13000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   105,    112,'1 ', 8.00000E-3, 4.97000E-2,   0.30000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   105,    113,'1 ', 3.82400E-1, 9.47900E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   107,    110,'1 ', 2.10000E-3, 1.86000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   108,    110,'1 ', 2.60000E-3, 1.94000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   108,    111,'1 ', 5.90000E-3, 5.77000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   109,    110,'1 ', 2.60000E-3, 1.94000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   109,    111,'1 ', 5.90000E-3, 5.77000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   112,    113,'1 ', 1.01000E-2, 8.73000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   114,    117,'1 ', 6.63000E-2, 3.69600E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   114,    119,'1 ', 8.76000E-2, 2.54000E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   114,    121,'1 ', 6.30000E-3, 8.02000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   115,    116,'1 ', 7.33000E-2, 9.79900E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   115,    117,'1 ', 1.00000E-3, 1.14000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   115,    118,'1 ', 1.65700E-1, 1.55100E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   115,    119,'1 ', 3.30000E-3, 3.92000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   115,    121,'1 ', 2.20000E-2, 2.98400E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   115,    135,'1 ', 0.00000E+0, 6.30900E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   115,    139,'1 ', 0.00000E+0, 1.24300E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   116,    117,'1 ', 4.74000E-2, 2.63100E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   116,    118,'1 ', 1.17000E-2, 7.44000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   116,    120,'1 ', 2.30700E-1, 7.04100E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   116,    121,'1 ', 9.51000E-2, 4.57600E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   116,    122,'1 ', 3.30000E-3, 1.28700E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   117,    118,'1 ', 2.00000E-3, 1.99000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   117,    119,'1 ', 1.70000E-3, 1.89000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   117,    120,'1 ', 6.70000E-3, 7.97000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   117,    121,'1 ', 1.50000E-2, 8.69000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   117,    122,'1 ', 3.83000E-2, 8.86000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   118,    120,'1 ', 5.00000E-3, 6.29000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   118,    121,'1 ', 1.39100E-1, 4.79800E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   118,    122,'1 ', 9.50000E-2, 5.07100E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   118,    123,'1 ', 1.40000E-3, 1.74000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   119,    120,'1 ', 1.06500E-1, 3.49800E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   119,    121,'1 ', 1.63600E-1, 5.80400E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   121,    122,'1 ', 1.25000E-1, 4.69900E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   122,    135,'1 ', 5.73000E-2, 7.58100E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   122,    139,'1 ', 0.00000E+0, 1.53200E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   124,    125,'1 ', 2.50000E-3, 7.30000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   124,    126,'1 ', 0.00000E+0, 8.39000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   124,    127,'1 ', 4.00000E-4, 1.05000E-2,   0.72000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   124,    128,'1 ', 5.00000E-4, 1.17000E-2,   0.84000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   125,    126,'1 ', 0.00000E+0, 4.11000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   125,    128,'1 ', 4.90000E-3, 2.63400E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   126,    127,'1 ', 0.00000E+0, 2.53200E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   126,    128,'1 ', 0.00000E+0, 2.74100E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   126,    138,'1 ', 0.00000E+0, 6.80500E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   127,    128,'1 ', 0.00000E+0, 1.33900E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   127,    132,'1 ', 9.00000E-4, 2.21000E-2,   1.62000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   128,    129,'1 ', 0.00000E+0, 1.38100E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   128,    130,'1 ', 7.00000E-4, 1.75000E-2,   1.26000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   129,    130,'1 ', 4.00000E-4, 8.50000E-3,   0.60000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   130,    131,'1 ', 2.00000E-4, 3.80000E-3,   0.54000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   130,    132,'1 ', 7.00000E-4, 1.73000E-2,   1.25000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   131,    133,'1 ', 2.00000E-3, 3.90000E-2,   2.77000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   131,    135,'1 ', 5.70000E-3, 6.99000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   131,    139,'1 ', 5.90000E-3, 1.05200E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   132,    133,'1 ', 1.20000E-3, 2.93000E-2,   2.09000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   132,    134,'1 ', 2.35000E-3, 4.38800E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   132,    135,'1 ', 1.20000E-3, 2.88000E-2,   2.06000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   132,    138,'1 ', 3.31000E-2, 4.22400E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   133,    135,'1 ', 3.00000E-4, 6.30000E-3,   0.45000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   134,    135,'1 ', 4.60000E-3, 6.25000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   134,    136,'1 ', 4.60000E-3, 7.82000E-2,   0.79000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   135,    139,'1 ', 1.77000E-2, 6.61000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   136,    139,'1 ', 0.00000E+0, 2.05400E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   137,    138,'1 ', 2.55300E-1, 7.18000E-1,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      " 0 /End of Branch data, Begin Transformer data\n",
      "     1,    21,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 2.00000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     3,     2,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 1.60000E-3, 4.35000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     3,     4,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 1.60000E-3, 4.35000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    10,    11,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 7.00000E-4, 1.38000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    10,    22,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 7.00000E-4, 1.42000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    11,    23,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 9.00000E-4, 1.80000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    13,    24,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 1.43000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    14,    25,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 5.00000E-4, 2.72000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    16,    27,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 6.00000E-4, 2.32000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    20,    26,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 8.00000E-4, 1.56000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    28,    29,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 1.81000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    33,    36,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 2.50000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    40,    41,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 1.61000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    49,    48,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 1.56000E-2, 1.53600E-1,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    48,   100,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 1.00000E-3, 1.59500E-1,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    54,    52,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 2.00000E-3, 2.33000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    54,    55,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 1.30000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    56,    57,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 1.42000E-1,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    58,    59,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 9.30000E-3,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    60,    61,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 6.40000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    75,    76,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 1.00000E-4, 7.40000E-3,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    84,    83,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 5.20000E-3, 1.74000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    85,    86,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 0.00000E+0, 5.70000E-3,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    87,    85,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 2.00000E-4, 2.46000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   101,   102,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 7.00000E-4, 2.11000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   101,   103,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 6.00000E-4, 1.51000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   137,   136,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'TWO-WINDINGS',1,   1,1.0000\n",
      " 8.00000E-4, 2.39000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.10000, 0.90000, 1.10000, 0.90000,  33, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      " 0 /End of Transformer data, Begin Area interchange data\n",
      "   1,     0,     0.000,    10.000,'NEPOOL      '\n",
      "   2,     0,     0.000,    10.000,'NYISO       '\n",
      "   3,     0,     0.000,    10.000,'NYISO2      '\n",
      "   4,     0,     0.000,    10.000,'IESO        '\n",
      "   5,     0,     0.000,    10.000,'MISO        '\n",
      "   6,     0,     0.000,    10.000,'PJM         '\n",
      " 0 /End of Area interchange data, Begin Two-terminal dc line data\n",
      " 0 /End of Two-terminal dc line data, Begin VSC dc line data\n",
      " 0 /End of VSC dc line data, Begin Impedance correction table data\n",
      " 0 /End of Impedance correction table data, Begin Multi-terminal dc line data\n",
      " 0 /End of Multi-terminal dc line data, Begin Multi-section line data\n",
      " 0 /End of Multi-section line data, Begin Zone data\n",
      " 0 /End of Zone data, Begin Inter-area transfer data\n",
      " 0 /End of Inter-area transfer data, Begin Owner data\n",
      " 0 /End of Owner data, Begin FACTS device data\n",
      " 0 /End of FACTS device data, Begin Switched shunt data\n",
      " 0 /End of Switched shunt data, Begin GNE device data\n",
      " 0 /End of GNE device data\n",
      "Q\n"
     ]
    }
   ],
   "source": [
    "data = !cat npcc.raw \n",
    "print('\\n'.join(data))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dynamic Data (PSS/E DYR format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     21 'GENROU' 1     5.7000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.6400       0.0000       1.9050       1.8075      0.36000\n",
      "         0.36000      0.23270      0.20270       0.0000       0.0000    /\n",
      "     22 'GENROU' 1     5.6900      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.0857       0.0000       1.8340       1.8060      0.30520\n",
      "         0.30520      0.220955      0.200955       0.0000       0.0000    /\n",
      "     23 'GENROU' 1     5.6000      0.30000E-01  0.35000      0.50000E-01\n",
      "          2.4467       0.0000       1.7400       1.6800      0.24450\n",
      "         0.24450      0.100799     0.090799   0.0000       0.0000    /\n",
      "     23 'GENROU' 2     5.2000      0.30000E-01  0.35000      0.50000E-01\n",
      "          6.2000       0.0000       2.1150       2.0400      0.54600\n",
      "         0.54600      0.225511      0.205511       0.0000       0.0000    /\n",
      "     24 'GENROU' 1     7.3000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.3500       0.0000       2.0320       1.9280      0.38400\n",
      "         0.38400      0.23780      0.20780       0.0000       0.0000    /\n",
      "     25 'GENROU' 1     5.7000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.0615       0.0000       1.9175       1.8980      0.31200\n",
      "         0.31200      0.20930      0.19930       0.0000       0.0000    /\n",
      "     26 'GENROU' 1     4.7900      0.30000E-01  0.35000      0.50000E-01\n",
      "          3.8000       0.0000       1.8900       1.8450      0.52200\n",
      "         0.52200      0.28874      0.20874       0.0000       0.0000    /\n",
      "     27 'GENROU' 1     6.7000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.0500       0.0000       1.7400       1.6800      0.33000\n",
      "         0.33000      0.18450      0.10450       0.0000       0.0000    /\n",
      "     36 'GENROU' 1     5.7000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.6615       0.0000       1.9175       1.8590      0.52650\n",
      "         0.52650      0.319930      0.30993       0.0000       0.0000    /\n",
      "     42 'GENROU' 1     5.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.7150       0.0000       1.2648       1.2108      0.23800\n",
      "         0.23800      0.17800      0.10800       0.0000       0.0000    /\n",
      "     47 'GENROU' 1     5.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          3.3711       0.0000       1.3410      0.76950      0.49500\n",
      "         0.49500      0.35190      0.30190       0.0000       0.0000    /\n",
      "     48 'GENROU' 1     5.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          3.0340       0.0000       1.4900      0.85500      0.55000\n",
      "         0.55000      0.39100      0.30100       0.0000       0.0000    /\n",
      "     50 'GENROU' 1     6.7000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.9200       0.0000       1.3750       1.3050      0.39000\n",
      "         0.39000      0.29500      0.20500       0.0000       0.0000    /\n",
      "     51 'GENROU' 1     5.5000      0.30000E-01  0.35000      0.50000E-01\n",
      "          14.307       0.0000      0.46545      0.44115      0.93750E-01\n",
      "         0.93750E-01  0.61950E-01  0.60950E-01   0.0000       0.0000    /\n",
      "     53 'GENCLS' 1     37.000       37.000    /\n",
      "     54 'GENROU' 1     7.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          7.8831       0.0000      0.85930      0.58500      0.36790\n",
      "         0.36790      0.32500      0.30500       0.0000       0.0000    /\n",
      "     54 'GENROU' 2     7.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          7.8831       0.0000      0.85930      0.58500      0.36790\n",
      "         0.36790      0.32500      0.30500       0.0000       0.0000    /\n",
      "     55 'GENROU' 1     7.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.9817       0.0000       1.2192      0.77160      0.43680\n",
      "         0.43680      0.36240      0.30240       0.0000       0.0000    /\n",
      "     56 'GENROU' 1     5.5000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.3880       0.0000       1.9235       1.8485      0.35750\n",
      "         0.35750      0.25750      0.20750       0.0000       0.0000    /\n",
      "     57 'GENROU' 1     5.6000      0.30000E-01  0.35000      0.50000E-01\n",
      "          5.0600       0.0000       1.1805       1.1294      0.24465\n",
      "         0.24465      0.16240      0.10240       0.0000       0.0000    /\n",
      "     60 'GENROU' 1     5.5000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.8311       0.0000       1.7334       1.6673      0.32490\n",
      "         0.32490      0.23535      0.20535       0.0000       0.0000    /\n",
      "     61 'GENROU' 1     5.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.1600       0.0000       1.2768       1.2228      0.24960\n",
      "         0.24960      0.18940      0.10940       0.0000       0.0000    /\n",
      "     65 'GENCLS' 1     10.710       10.710    /\n",
      "     68 'GENCLS' 1     3.7700       3.7700    /\n",
      "     71 'GENCLS' 1     8.5000       8.5000    /\n",
      "     72 'GENCLS' 1     11.770       11.770    /\n",
      "     78 'GENCLS' 1     1000.0       1000.0    /\n",
      "     79 'GENROU' 1     8.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.1739       0.0000       2.0010       1.9550      0.36800\n",
      "         0.36800      0.32200      0.30200       0.0000       0.0000    /\n",
      "     80 'GENROU' 1     4.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          2.9750       0.0000       1.7040       1.5440      0.37600\n",
      "         0.37600      0.20000      0.19000       0.0000       0.0000    /\n",
      "     82 'GENROU' 1     5.9000      0.30000E-01  0.35000      0.50000E-01\n",
      "          3.9200       0.0000       1.5450       1.5100      0.31000\n",
      "         0.31000      0.25000      0.20000       0.0000       0.0000    /\n",
      "     86 'GENROU' 1     6.0000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.1579       0.0000       1.9000       1.5060      0.38000\n",
      "         0.38000       0.2109      0.20090       0.0000       0.0000    /\n",
      "     98 'GENROU' 1     4.6000      0.30000E-01  0.35000      0.50000E-01\n",
      "          11.077       0.0000       0.4550      0.32500      0.143\n",
      "          0.143        0.0975       0.0775       0.0000       0.0000    /\n",
      "    101 'GENROU' 1     5.5000      0.30000E-01  0.35000      0.50000E-01\n",
      "          4.0740       0.0000       1.0125       0.648       0.351\n",
      "         0.35100       0.2295       0.2095       0.0000       0.0000    /\n",
      "     91 'GENCLS' 1     98.700       98.700    /\n",
      "     92 'GENCLS' 1     27.000       27.000    /\n",
      "     97 'GENCLS' 1     36.000       36.000    /\n",
      "    115 'GENCLS' 1     46.000       46.000    /\n",
      "    119 'GENCLS' 1     30.000       30.000    /\n",
      "    120 'GENCLS' 1     1000.0       1000.0    /\n",
      "    121 'GENCLS' 1     66.000       66.000    /\n",
      "    122 'GENCLS' 1     190.00       190.00    /\n",
      "    123 'GENCLS' 1     33.000       33.000    /\n",
      "    130 'GENCLS' 1     24.000       24.000    /\n",
      "    133 'GENCLS' 1     1000.0       1000.0    /\n",
      "    134 'GENCLS' 1     44.000       44.000    /\n",
      "    135 'GENCLS' 1     115.00       115.00    /\n",
      "    137 'GENCLS' 1     3.5000       3.5000    /\n",
      "    139 'GENCLS' 1     1000.0       1000.0    /\n",
      "\n",
      "     21 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     22 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     23 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     23 'TGOV1'  2    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     24 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     25 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     26 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     27 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     36 'TGOV1'  1    0.50000E-01  10.0000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     42 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     47 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     48 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     50 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     51 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     54 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     54 'TGOV1'  2    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     55 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     56 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     57 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     60 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     61 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     79 'TGOV1'  1    0.50000E-01  10.0000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     80 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     82 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     86 'TGOV1'  1    0.50000E-01  10.0000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     98 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     101 'TGOV1'  1    0.30000E-01  0.50000       1.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     119 'TGOV1'  1    0.50000E-01  10.0000       100.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "     133 'TGOV1'  1    0.50000E-01  10.0000       100.0000      0.30000\n",
      "          6.0000       6.0000       0.0000    /\n",
      "\n",
      "     21 'IEEEX1' 1     0.0000       50.000      0.60000E-01   0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.20000E-01  0.50000\n",
      "         0.80000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.7300    /\n",
      "     22 'IEEEX1' 1     0.0000       400.00      0.20000E-01   0.0000\n",
      "          0.0000       7.3000      -7.3000       1.0000      0.79000\n",
      "         0.30000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4500    /\n",
      "     23 'IEEEX1' 1     0.0000       50.000      0.60000E-01   0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.50000E-01  0.50000\n",
      "         0.80000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.7300    /\n",
      "     23 'IEEEX1' 2     0.0000       50.000      0.60000E-01   0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.50000E-01  0.50000\n",
      "         0.80000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.7300    /\n",
      "     24 'IEEEX1' 1     0.0000       50.000      0.20000E-01   0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.40000E-01  0.47000\n",
      "         0.60000E-01   1.2500       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.7300    /\n",
      "     25 'IEEEX1' 1     0.0000       400.00      0.20000E-01   0.0000\n",
      "          0.0000       6.5000      -6.5000       1.0000      0.73000\n",
      "         0.30000E-01   1.0000       0.0000       2.0000      0.39000E-02\n",
      "          3.0000       1.5550    /\n",
      "     26 'IEEEX1' 1     0.0000       200.00      0.20000E-01   0.0000\n",
      "          0.0000       4.2600      -4.2600       1.0000       1.4000\n",
      "         0.30000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4650    /\n",
      "     27 'IEEEX1' 1     0.0000       50.000      0.20000E-01   0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.50000E-01  0.53000\n",
      "         0.33200E-01   1.2600       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4650    /\n",
      "     36 'IEEEX1' 1     0.0000       62.000      0.50000E-01   0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.50000E-01  0.40500\n",
      "         0.11400      0.50000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.7300    /\n",
      "     42 'IEEEX1' 1     0.0000       25.000      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.62000E-01  0.50000\n",
      "         0.65710      0.35000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       2.0250    /\n",
      "     47 'IEEEX1' 1     0.0000       16.500      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.37000E-01  0.27000\n",
      "         0.60000E-01   1.0000       0.0000       2.0000      0.58000E-02\n",
      "          3.0000       1.1500    /\n",
      "     48 'IEEEX1' 1     0.0000       16.500      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.37000E-01  0.27000\n",
      "         0.60000E-01   1.0000       0.0000       2.0000      0.58000E-02\n",
      "          3.0000       1.1500    /\n",
      "     50 'IEEEX1' 1     0.0000       50.000      0.60000E-01   0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.46000E-01  0.50000\n",
      "         0.80000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.5250    /\n",
      "     51 'IEEEX1' 1     0.0000       23.100      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.44000E-01  0.50000\n",
      "         0.71430E-01  0.35000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4500    /\n",
      "     54 'IEEEX1' 1     0.0000       50.000      0.50000E-01   0.0000\n",
      "          0.0000       5.0000      -5.0000       1.0000      0.40000\n",
      "         0.80000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4500    /\n",
      "     54 'IEEEX1' 2     0.0000       50.000      0.50000E-01   0.0000\n",
      "          0.0000       5.0000      -5.0000       1.0000      0.40000\n",
      "         0.80000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4500    /\n",
      "     55 'IEEEX1' 1     0.0000       23.100      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.50000E-01  0.50000\n",
      "         0.71430E-01  0.35000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4500    /\n",
      "     56 'IEEEX1' 1     0.0000       25.000      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.50000E-01  0.50000\n",
      "         0.65710E-01  0.35000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.6670    /\n",
      "     57 'IEEEX1' 1     0.0000       25.000      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.50000E-01  0.50000\n",
      "         0.65710E-01  0.35000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       2.0600    /\n",
      "     60 'IEEEX1' 1     0.0000       25.000      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.50000E-01  0.50000\n",
      "         0.65710      0.35000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.6670    /\n",
      "     61 'IEEEX1' 1     0.0000       25.000      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.62000E-01  0.50000\n",
      "         0.65710      0.35000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       2.0250    /\n",
      "     79 'IEEEX1' 1     0.0000       50.000      0.60000E-01   0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.40000E-01  0.50000\n",
      "         0.80000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4500    /\n",
      "     80 'IEEEX1' 1     0.0000       25.000      0.20000       0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.50000E-01  0.50000\n",
      "         0.65140      0.35000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4500    /\n",
      "     82 'IEEEX1' 1     0.0000       50.000      0.60000E-01   0.0000\n",
      "          0.0000       1.0000      -1.0000     -0.40000E-01  0.50000\n",
      "         0.80000E-01   1.0000       0.0000       2.0000      0.16000E-02\n",
      "          3.0000       1.4500    /\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "data = !cat npcc.dyr\n",
    "print('\\n'.join(data))"
   ]
  }
 ],
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