{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CURENT WECC 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) WECC system contains 179 buses and 263 branches. Two line trip scenarios are created to verify ANDES simulation results with DSATools TSAT and Siemens PTI PSS/E.\n",
    "\n",
    "Dynamic data is based on the CURENT WECC 179-Bus test system, which uses models GENROU, TGOV1, IEEEG1, EXST2, EXDC2, ESST3A, IEEEST, ST2CUT and ESDC2A, the saturation of which could be implemented differently across software. \n",
    "\n",
    "### Simulation Parameters\n",
    "\n",
    "Integretion method: Trapezidal Rule (ANDES and TSAT), the default second order Adams-Bashforth method (AB-2) (PSS/E)\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 three 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",
    "The finding is that, **for particular disturbances in large systems, neither two of ANDES, TSAT and PSS/E could match**. Implementation details in commercial software are lacking. Thus, it could be futile to insist on obtaining the same results for large systems, especially with several complex models.\n",
    "\n",
    "Nevertheless, Scenario 2 shows that ANDES results are trustworthy. **In fact, ANDES is open-source with all the implemented equations clearly documented, which makes the results highly credible for research and education purposes.**"
   ]
  },
  {
   "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, psse_to_df, plot_comparison, run_cmp\n",
    "\n",
    "andes.config_logger(stream_level=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 1\n",
    "\n",
    "Line 38-39 trips and reconnects after 0.1 sec. This branch is a transformer branch that connects generator #11 on Bus 39 to Bus 38. It is the only link to Bus 39."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Toggle Toggle_1>: Line.Line_221 status changed to 0.0 at t=1.0 sec.\n",
      "<Toggle Toggle_2>: Line.Line_221 status changed to 1.0 at t=1.1 sec.\n",
      "100%|████████████████████████████████| 100/100 [00:16<00:00,  5.89%/s]\n"
     ]
    }
   ],
   "source": [
    "ss = run_cmp('wecc.raw', dyr='wecc.dyr', fault_line='Line_221',\n",
    "             t1=1.0, t2=1.1, tstep=1/120)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "idx       Line_221\n",
       "u                1\n",
       "name      Line_221\n",
       "bus1            38\n",
       "bus2            39\n",
       "Sn             100\n",
       "fn              60\n",
       "Vn1            230\n",
       "Vn2             18\n",
       "r           0.0005\n",
       "x           0.0238\n",
       "b                0\n",
       "g                0\n",
       "b1               0\n",
       "g1               0\n",
       "b2               0\n",
       "g2               0\n",
       "trans            1\n",
       "tap              1\n",
       "phi              0\n",
       "owner         None\n",
       "xcoord        None\n",
       "ycoord        None\n",
       "Name: 220, dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Line_221 information\n",
    "ss.Line.cache.df_in.iloc[220]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load TSAT and PSSE Outputs\n",
    "omega2 = tsat_to_df('omega2.xls')\n",
    "v2 = tsat_to_df('v2.xls')\n",
    "\n",
    "omega2_psse = psse_to_df('omega2_psse.xlsx')\n",
    "v2_psse = psse_to_df('v2_psse.xlsx')\n",
    "omega2_psse.iloc[:, 1:] += 1\n",
    "omega2_psse.iloc[:, 1:] *= 60\n",
    "\n",
    "# prepare variable headers for TSAT and PSSE\n",
    "def header_replace(fname, idx, offset, old_str, new_str):\n",
    "    \"\"\"\n",
    "    Utility function for replacing strings in variable header\n",
    "    \"\"\"\n",
    "    old_headers = [fname[i + offset] for i in idx]\n",
    "    return [i.replace(old_str, new_str) for i in old_headers]\n",
    "\n",
    "fname = ss.TDS.plt._fname\n",
    "tsat_omega_headers = header_replace(fname, ss.GENROU.omega.a, 1, \"GENROU\", \"TSAT\")\n",
    "tsat_v_headers = header_replace(fname, ss.GENROU.v.a, 1 + ss.dae.n, \"Bus\", \"TSAT\")\n",
    "\n",
    "psse_omega_headers = header_replace(fname, ss.GENROU.omega.a, 1, \"GENROU\", \"PSSE\")\n",
    "psse_v_headers = header_replace(fname, ss.GENROU.v.a, 1 + ss.dae.n, \"Bus\", \"PSSE\")"
   ]
  },
  {
   "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": [
    "fig, ax = plot_comparison(ss, ss.GENROU.omega, omega2,\n",
    "                          a=(10,), a_tsat=[10], a_psse=[10],\n",
    "                          ylabel=\"Generator Speed [Hz]\",\n",
    "                          tsat_header=tsat_omega_headers,\n",
    "                          psse_data = omega2_psse,\n",
    "                          psse_header = psse_omega_headers,\n",
    "                          scale=60, right=10,\n",
    "                          legend=True,\n",
    "                          show=False,\n",
    "                         )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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": [
    "fig, ax = plot_comparison(ss, ss.GENROU.v, v2,\n",
    "                          a=(10,), a_tsat=[10], a_psse=[10],\n",
    "                          ylabel=\"Terminal Voltage [p.u.]\",\n",
    "                          tsat_header=tsat_v_headers,\n",
    "                          psse_data = v2_psse,\n",
    "                          psse_header = psse_v_headers,\n",
    "                          scale=1, right=10,\n",
    "                          legend=True,\n",
    "                          show=False\n",
    "                         )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 2\n",
    "\n",
    "In this scenario, Line 4-16 trips and reconnects after 0.1 sec. This line in the eastern zone that connects two generator buses (CRAIG and SAN JUAN)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Toggle Toggle_1>: Line.Line_2 status changed to 0.0 at t=1.0 sec.  \n",
      "<Toggle Toggle_2>: Line.Line_2 status changed to 1.0 at t=1.1 sec.  \n",
      "100%|████████████████████████████████| 100/100 [00:18<00:00,  5.45%/s]\n"
     ]
    }
   ],
   "source": [
    "ss2 = run_cmp('wecc.raw', dyr='wecc.dyr', fault_line='Line_2',\n",
    "              t1=1.0, t2=1.1, tstep=1/120)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "idx        Line_2\n",
       "u               1\n",
       "name       Line_2\n",
       "bus1            4\n",
       "bus2           16\n",
       "Sn            100\n",
       "fn             60\n",
       "Vn1           345\n",
       "Vn2           345\n",
       "r         0.00977\n",
       "x            0.11\n",
       "b               2\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: 1, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Line 2 information\n",
    "ss2.Line.cache.df_in.iloc[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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": [
    "# load data\n",
    "omega = tsat_to_df('omega.xls')\n",
    "v = tsat_to_df('v.xls')\n",
    "\n",
    "omega_psse = psse_to_df('omega_psse.xlsx')\n",
    "v_psse = psse_to_df('v_psse.xlsx')\n",
    "omega_psse.iloc[:, 1:] += 1\n",
    "omega_psse.iloc[:, 1:] *= 60\n",
    "\n",
    "fig, ax = plot_comparison(ss2, ss2.GENROU.omega, omega,\n",
    "                          a=(1,), a_tsat=[1], a_psse=[1],\n",
    "                          ylabel=\"Generator Speed [Hz]\",\n",
    "                          title=\"WECC Scenario 2 (Line 4-16 Trip)\",\n",
    "                          tsat_header=tsat_omega_headers,\n",
    "                          psse_data = omega_psse,\n",
    "                          psse_header = psse_omega_headers,\n",
    "                          scale=60, right=10,\n",
    "                          legend=True,\n",
    "                          show=False\n",
    "                         )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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": [
    "fig, ax = plot_comparison(ss2, ss2.GENROU.v, v,\n",
    "                          a=(1,), a_tsat=[1], a_psse=[1],\n",
    "                          ylabel=\"Terminal Voltage [p.u.]\",\n",
    "                          title=\"WECC Scenario 2 (Line 4-16 Trip)\",\n",
    "                          tsat_header=tsat_v_headers,\n",
    "                          psse_data = v_psse,\n",
    "                          psse_header = psse_v_headers,\n",
    "                          scale=1, right=10,\n",
    "                          legend=True,\n",
    "                          show=False\n",
    "                         )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Appendix: CURENT WECC 179-Bus System Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Power Flow Data (PSS/E RAW format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0,   100.00,  32, 0, 1, 60.00     / PSS(R)E 32 RAW created by rawd32  THU, MAY 21 2020  10:24\n",
      "WESTERN ELECTRICITY COORDINATING COUNCIL 179-BUS SYSTEM (MOD\n",
      "DISTRIBUTED WITH ANDES (HTTPS://GITHUB.COM/CUIHANTAO/ANDES)\n",
      "     1,'CORONADO    ', 500.0000,1,   1,   1,   1,0.97947, -26.1745\n",
      "     2,'CHOLLA      ', 345.0000,1,   1,   1,   1,0.97744, -16.9603\n",
      "     3,'CORONADO    ',  20.0000,2,   1,   1,   1,1.04000, -19.6589\n",
      "     4,'CRAIG       ', 345.0000,1,   1,   1,   1,0.97518,  16.2755\n",
      "     5,'CRAIG       ',  22.0000,2,   1,   1,   1,0.95000,  23.5536\n",
      "     6,'FOURCORN    ', 500.0000,1,   1,   1,   1,1.06814,  -7.9038\n",
      "     7,'FOURCORN    ', 345.0000,1,   1,   1,   1,1.00914,  -4.6874\n",
      "     8,'FCNGN4CC    ',  22.0000,2,   1,   1,   1,1.00000,   2.2301\n",
      "     9,'FOURCORN    ', 230.0000,1,   1,   1,   1,1.00726,  -5.2308\n",
      "    10,'HAYDEN      ',  20.0000,2,   1,   1,   1,1.00000,  33.7299\n",
      "    11,'NAVAJO      ', 500.0000,1,   2,   1,   1,1.07205, -23.9351\n",
      "    12,'NAVAJO 2    ',  26.0000,2,   2,   1,   1,1.00000, -17.8112\n",
      "    13,'MOENKOPI    ', 500.0000,1,   2,   1,   1,1.06735, -24.8548\n",
      "    14,'PALOVRD2    ',  24.0000,2,   2,   1,   1,0.96000, -21.7139\n",
      "    15,'PALOVRDE    ', 500.0000,1,   2,   1,   1,1.04856, -29.6406\n",
      "    16,'SAN JUAN    ', 345.0000,1,   1,   1,   1,1.03559,  -3.8744\n",
      "    17,'SJUAN G4    ',  22.0000,2,   1,   1,   1,1.00000,  -0.8871\n",
      "    18,'WESTWING    ', 500.0000,1,   2,   1,   1,1.05593, -29.5910\n",
      "    19,'NAVAJO1     ', 500.0000,1,   2,   1,   1,1.07025, -22.8500\n",
      "    20,'NAVAJO2     ', 500.0000,1,   2,   1,   1,1.06042, -25.9522\n",
      "    21,'NAVAJO3     ', 500.0000,1,   2,   1,   1,1.04693, -22.1208\n",
      "    22,'NAVAJO4     ', 500.0000,1,   2,   1,   1,1.02564, -31.4586\n",
      "    23,'MOENKOP1    ', 500.0000,1,   2,   1,   1,1.05571, -23.3906\n",
      "    24,'MOENKOP2    ', 500.0000,1,   2,   1,   1,1.04116, -31.0832\n",
      "    25,'MOENKOP3    ', 500.0000,1,   2,   1,   1,1.05132, -15.5499\n",
      "    26,'MOENKOP4    ', 500.0000,1,   2,   1,   1,1.04671, -42.3967\n",
      "    27,'FOURCOR1    ', 500.0000,1,   1,   1,   1,1.06585,  -5.7792\n",
      "    28,'FOURCOR2    ', 500.0000,1,   1,   1,   1,1.06933, -27.9822\n",
      "    29,'CANAD G1    ',  20.0000,2,   1,   1,   1,1.00000,  24.7380\n",
      "    30,'CANADA      ', 500.0000,1,   1,   1,   1,1.03634,  20.9474\n",
      "    31,'CANALB      ', 500.0000,1,   1,   1,   1,1.07861,  49.2370\n",
      "    32,'CA230TO     ', 230.0000,1,   1,   1,   1,0.97855,  53.8260\n",
      "    33,'CA230       ', 230.0000,1,   1,   1,   1,1.00114,  62.8749\n",
      "    34,'CMAIN GM    ',  20.0000,2,   1,   1,   1,1.02000,  67.7961\n",
      "    35,'BRIDGER2    ',  22.0000,2,   1,   1,   1,1.00900,   2.4615\n",
      "    36,'ADELANTO    ', 500.0000,1,   2,   1,   1,1.06032, -42.1554\n",
      "    37,'ADELAN&1    ', 500.0000,1,   2,   1,   1,1.08090, -46.2256\n",
      "    38,'CASTAIC     ', 230.0000,1,   2,   1,   1,1.03195, -47.2901\n",
      "    39,'CASTAI4G    ',  18.0000,2,   2,   1,   1,1.02000, -45.9803\n",
      "    40,'GLENDAL     ', 230.0000,1,   2,   1,   1,1.02337, -50.9223\n",
      "    41,'HAYNES      ', 230.0000,1,   2,   1,   1,1.03129, -50.6520\n",
      "    42,'HAYNES3G    ',  18.0000,2,   2,   1,   1,1.00000, -47.3488\n",
      "    43,'INTERMT     ', 345.0000,1,   1,   1,   1,1.05257,  -4.3661\n",
      "    44,'INTERM1G    ',  26.0000,2,   1,   1,   1,1.05000,   0.2811\n",
      "    45,'OLIVE       ', 230.0000,1,   2,   1,   1,1.03475, -47.6289\n",
      "    46,'OWENS G     ',  11.5000,2,   2,   1,   1,1.02000, -47.2682\n",
      "    47,'RINALDI     ', 230.0000,1,   2,   1,   1,1.03402, -47.8387\n",
      "    48,'RINALDI     ', 500.0000,1,   2,   1,   1,1.07212, -45.4811\n",
      "    49,'RIVER       ', 230.0000,1,   2,   1,   1,1.02362, -51.8438\n",
      "    50,'STA B       ', 138.0000,1,   2,   1,   1,1.03256, -51.9003\n",
      "    51,'STA B1      ', 287.0000,1,   2,   1,   1,1.03663, -50.7167\n",
      "    52,'STA B2      ', 287.0000,1,   2,   1,   1,1.03663, -50.7167\n",
      "    53,'STA BLD     ', 230.0000,1,   2,   1,   1,1.02728, -52.1086\n",
      "    54,'STA E       ', 230.0000,1,   2,   1,   1,1.02516, -50.0567\n",
      "    55,'STA E       ', 500.0000,1,   2,   1,   1,1.04304, -47.6632\n",
      "    56,'STA F       ', 230.0000,1,   2,   1,   1,1.02484, -51.8789\n",
      "    57,'STA G       ', 230.0000,1,   2,   1,   1,1.02394, -51.1740\n",
      "    58,'STA J       ', 230.0000,1,   2,   1,   1,1.03112, -48.9133\n",
      "    59,'SYLMARLA    ', 230.0000,1,   2,   1,   1,1.03832, -47.1488\n",
      "    60,'SYLMAR S    ', 230.0000,1,   2,   1,   1,1.02073, -48.2552\n",
      "    61,'VALLEY      ', 230.0000,1,   2,   1,   1,1.02930, -49.0304\n",
      "    62,'VICTORVL    ', 287.0000,1,   2,   1,   1,1.05209, -44.4925\n",
      "    63,'VICTORVL    ', 500.0000,1,   2,   1,   1,1.05866, -42.4751\n",
      "    64,'MONTA G1    ',  20.0000,2,   1,   1,   1,1.00000,  56.5947\n",
      "    65,'MONTANA     ', 500.0000,1,   1,   1,   1,1.04928,  48.2022\n",
      "    66,'BIG EDDY    ', 115.0000,1,   1,   1,   1,1.06863, -16.9326\n",
      "    67,'BIG EDDY    ', 230.0000,1,   1,   1,   1,1.06592, -14.5699\n",
      "    68,'BIG EDDY    ', 500.0000,1,   1,   1,   1,1.08919, -13.3098\n",
      "    69,'DALLES21    ',  13.8000,2,   1,   1,   1,1.05500,  -7.9400\n",
      "    70,'CELILO      ', 230.0000,1,   1,   1,   1,1.06159, -15.0760\n",
      "    71,'CELILOCA    ', 500.0000,1,   1,   1,   1,1.08964, -13.4178\n",
      "    72,'COLSTRP     ', 500.0000,1,   1,   1,   1,1.07839,  -1.3595\n",
      "    73,'COULEE      ', 500.0000,1,   1,   1,   1,1.07000,   0.1645\n",
      "    74,'GARRISON    ', 500.0000,1,   1,   1,   1,1.03705, -12.1586\n",
      "    75,'JOHN DAY    ', 500.0000,1,   1,   1,   1,1.08283, -11.1230\n",
      "    76,'JOHN DAY    ',  13.8000,3,   1,   1,   1,1.00000,   0.0000\n",
      "    77,'HANFORD     ', 500.0000,1,   1,   1,   1,1.04947,   0.2258\n",
      "    78,'NORTH G3    ',  20.0000,2,   1,   1,   1,1.00000,  26.5872\n",
      "    79,'NORTH       ', 500.0000,1,   1,   1,   1,1.04993,  12.1085\n",
      "    80,'BURNS       ', 500.0000,1,   1,   1,   1,1.05295, -19.5513\n",
      "    81,'GRIZZLY     ', 500.0000,1,   1,   1,   1,1.06740, -17.1477\n",
      "    82,'MALIN       ', 500.0000,1,   1,   1,   1,1.05433, -23.3455\n",
      "    83,'MIDPOINT    ', 500.0000,1,   1,   1,   1,1.06195,  -5.1981\n",
      "    84,'MIDPOINT    ', 345.0000,1,   1,   1,   1,0.99845,  -1.5707\n",
      "    85,'SUMMER L    ', 500.0000,1,   1,   1,   1,1.05818, -18.2347\n",
      "    86,'GRIZZLY1    ', 500.0000,1,   1,   1,   1,1.06533, -18.7474\n",
      "    87,'GRIZZLY2    ', 500.0000,1,   1,   1,   1,1.07143, -16.0156\n",
      "    88,'MALIN1      ', 500.0000,1,   1,   1,   1,1.05062, -14.1380\n",
      "    89,'MALIN2      ', 500.0000,1,   1,   1,   1,1.06088, -19.8058\n",
      "    90,'GRIZZLY3    ', 500.0000,1,   1,   1,   1,1.07997, -21.7956\n",
      "    91,'GRIZZLY4    ', 500.0000,1,   1,   1,   1,1.06943, -17.2249\n",
      "    92,'GRIZZLY5    ', 500.0000,1,   1,   1,   1,1.06860, -22.4488\n",
      "    93,'GRIZZLY6    ', 500.0000,1,   1,   1,   1,1.07170, -17.8609\n",
      "    94,'GRIZZLY7    ', 500.0000,1,   1,   1,   1,1.07926, -22.0559\n",
      "    95,'GRIZZLY8    ', 500.0000,1,   1,   1,   1,1.06917, -17.2247\n",
      "    96,'GRIZZLY9    ', 500.0000,1,   1,   1,   1,1.06761, -22.7454\n",
      "    97,'GRIZZLYA    ', 500.0000,1,   1,   1,   1,1.07104, -17.8942\n",
      "    98,'BURNS1      ', 500.0000,1,   1,   1,   1,0.97284,   8.0442\n",
      "    99,'CORTINA     ', 200.0000,1,   3,   1,   1,1.13097, -34.9741\n",
      "   100,'COTWDPGE    ', 200.0000,1,   3,   1,   1,1.13613, -30.4883\n",
      "   101,'DIABLO      ', 500.0000,1,   2,   1,   1,1.05298, -46.1260\n",
      "   102,'DIABLO1     ',  25.0000,2,   2,   1,   1,0.98000, -42.3238\n",
      "   103,'GATES       ', 500.0000,1,   2,   1,   1,1.04707, -47.6820\n",
      "   104,'GLENN       ', 200.0000,1,   3,   1,   1,1.14090, -34.1986\n",
      "   105,'LOGAN CR    ', 200.0000,1,   3,   1,   1,1.14016, -34.5836\n",
      "   106,'LOSBANOS    ', 500.0000,1,   2,   1,   1,1.04927, -49.5273\n",
      "   107,'MIDWAY      ', 500.0000,1,   2,   1,   1,1.05934, -48.6051\n",
      "   108,'MIDWAY      ', 200.0000,1,   2,   1,   1,1.16705, -51.4430\n",
      "   109,'MOSSLAND    ', 500.0000,1,   2,   1,   1,1.04639, -49.7921\n",
      "   110,'OLINDA      ', 500.0000,1,   3,   1,   1,1.03727, -31.0686\n",
      "   111,'ROUND MT    ',  20.0000,2,   3,   1,   1,1.02000, -15.0791\n",
      "   112,'ROUND MT    ', 200.0000,1,   3,   1,   1,1.12385, -25.1402\n",
      "   113,'ROUND MT    ', 500.0000,1,   3,   1,   1,1.03454, -27.9316\n",
      "   114,'TABLE MT    ', 500.0000,1,   3,   1,   1,1.01342, -32.0699\n",
      "   115,'TEVATR      ',  20.0000,2,   3,   1,   1,1.05000, -35.6850\n",
      "   116,'TEVATR      ', 200.0000,1,   3,   1,   1,1.12744, -39.6332\n",
      "   117,'TEVATR2     ',  20.0000,2,   3,   1,   1,1.00000, -30.7816\n",
      "   118,'TEVATR      ', 500.0000,1,   3,   1,   1,0.99816, -38.9938\n",
      "   119,'OLINDA1     ', 500.0000,1,   3,   1,   1,1.05026, -24.0934\n",
      "   120,'OLINDA2     ', 500.0000,1,   3,   1,   1,1.01142, -38.0294\n",
      "   121,'OLINDA3     ', 500.0000,1,   3,   1,   1,1.02786, -30.7891\n",
      "   122,'OLINDA4     ', 500.0000,1,   3,   1,   1,0.98098, -46.5990\n",
      "   123,'ROUND1      ', 500.0000,1,   3,   1,   1,1.04054, -22.0273\n",
      "   124,'ROUND2      ', 500.0000,1,   3,   1,   1,1.01079, -36.1445\n",
      "   125,'ROUND3      ', 500.0000,1,   3,   1,   1,1.04054, -22.0273\n",
      "   126,'ROUND4      ', 500.0000,1,   3,   1,   1,1.01079, -36.1445\n",
      "   127,'TABLE1      ', 500.0000,1,   3,   1,   1,1.01257, -25.8067\n",
      "   128,'TABLE2      ', 500.0000,1,   3,   1,   1,0.99882, -45.3405\n",
      "   129,'TABLE3      ', 500.0000,1,   3,   1,   1,1.01755, -27.3173\n",
      "   130,'TABLE4      ', 500.0000,1,   3,   1,   1,0.99876, -41.4218\n",
      "   131,'TEVATR1     ', 500.0000,1,   2,   1,   1,0.97999, -36.9419\n",
      "   132,'TEVATR2     ', 500.0000,1,   2,   1,   1,1.07047, -51.7010\n",
      "   133,'TEVATR3     ', 500.0000,1,   2,   1,   1,0.97141, -35.0590\n",
      "   134,'GATES1      ', 500.0000,1,   2,   1,   1,1.06807, -49.9922\n",
      "   135,'DEVERS      ', 500.0000,1,   2,   1,   1,1.03539, -43.5212\n",
      "   136,'EAGLROCK    ', 230.0000,1,   2,   1,   1,1.01010, -52.7598\n",
      "   137,'ELDORADO    ',  20.0000,2,   2,   1,   1,1.02000, -25.9732\n",
      "   138,'ELDORADO    ', 500.0000,1,   2,   1,   1,1.05122, -33.0947\n",
      "   139,'LITEHIPE    ',  20.0000,2,   2,   1,   1,1.02000, -49.6246\n",
      "   140,'LITEHIPE    ', 230.0000,1,   2,   1,   1,1.01186, -55.7741\n",
      "   141,'LUGO        ', 500.0000,1,   2,   1,   1,1.05498, -46.0893\n",
      "   142,'MESA CAL    ', 230.0000,1,   2,   1,   1,1.00705, -55.0594\n",
      "   143,'MIRALOMA    ',  20.0000,2,   2,   1,   1,1.05000, -45.4414\n",
      "   144,'MIRALOMA    ', 500.0000,1,   2,   1,   1,1.04087, -49.6789\n",
      "   145,'MIRALOMA    ', 230.0000,1,   2,   1,   1,1.03821, -50.1247\n",
      "   146,'MOHAVE      ', 500.0000,1,   2,   1,   1,1.06999, -29.3603\n",
      "   147,'MOHAV1CC    ',  22.0000,2,   2,   1,   1,1.05000, -21.0397\n",
      "   148,'PARDEE      ',  20.0000,2,   2,   1,   1,1.01000, -39.5994\n",
      "   149,'PARDEE      ', 230.0000,1,   2,   1,   1,1.00600, -51.6818\n",
      "   150,'SERRANO     ', 500.0000,1,   2,   1,   1,1.04129, -50.0775\n",
      "   151,'VALLEY      ', 500.0000,1,   2,   1,   1,1.03694, -47.7607\n",
      "   152,'VINCENT     ', 500.0000,1,   2,   1,   1,1.06119, -48.9450\n",
      "   153,'VINCENT     ', 230.0000,1,   2,   1,   1,0.99489, -51.6324\n",
      "   154,'CAMP WIL    ', 345.0000,1,   1,   1,   1,1.04289,  -2.4160\n",
      "   155,'BENLOMND    ', 345.0000,1,   1,   1,   1,1.04464,  -3.3929\n",
      "   156,'BENLOMND    ', 230.0000,1,   1,   1,   1,1.04624,  -3.9585\n",
      "   157,'EMERY       ', 345.0000,1,   1,   1,   1,1.03705,   4.8898\n",
      "   158,'EMERY       ',  20.0000,2,   1,   1,   1,1.05000,   9.6052\n",
      "   159,'MONA        ', 345.0000,1,   1,   1,   1,1.05596,  -2.0072\n",
      "   160,'NAUGHTON    ', 230.0000,1,   1,   1,   1,1.04453,   0.6143\n",
      "   161,'NAUGHT      ',  20.0000,2,   1,   1,   1,1.00000,   3.4140\n",
      "   162,'PINTO PS    ', 345.0000,1,   1,   1,   1,1.03679,  -2.4413\n",
      "   163,'PINTO       ', 345.0000,1,   1,   1,   1,1.04044,  -1.4027\n",
      "   164,'SPAN FRK    ', 345.0000,1,   1,   1,   1,1.03514,  -1.0920\n",
      "   165,'SIGURD      ', 345.0000,1,   1,   1,   1,1.05190,  -0.5455\n",
      "   166,'TERMINAL    ', 345.0000,1,   1,   1,   1,1.03911,  -3.4207\n",
      "   167,'MALIN3      ', 500.0000,1,   3,   1,   1,1.06106, -19.7689\n",
      "   168,'MALIN4      ', 500.0000,1,   3,   1,   1,1.02557, -31.6678\n",
      "   169,'MALIN5      ', 500.0000,1,   3,   1,   1,1.06179, -19.0138\n",
      "   170,'MALIN6      ', 500.0000,1,   3,   1,   1,1.02702, -31.6971\n",
      "   171,'MALIN7      ', 500.0000,1,   3,   1,   1,1.05696, -17.4396\n",
      "   172,'MALIN8      ', 500.0000,1,   3,   1,   1,1.03194, -37.1499\n",
      "   173,'MIDWAY1     ', 500.0000,1,   2,   1,   1,1.04651, -48.2385\n",
      "   174,'MIDWAY2     ', 500.0000,1,   2,   1,   1,1.05458, -49.3078\n",
      "   175,'MIDWAY3     ', 500.0000,1,   2,   1,   1,1.04625, -48.2334\n",
      "   176,'MIDWAY4     ', 500.0000,1,   2,   1,   1,1.05470, -49.3092\n",
      "   177,'MIDWAY5     ', 500.0000,1,   2,   1,   1,1.04598, -48.2211\n",
      "   178,'MIDWAY6     ', 500.0000,1,   2,   1,   1,1.05705, -49.2854\n",
      "   179,'BURNS2      ', 500.0000,1,   1,   1,   1,0.98437,  -6.6858\n",
      " 0 /End of Bus data, Begin Load data\n",
      "     1,'BL',1,   1,   1,  1750.000,   -56.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "     3,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "     4,'BL',1,   1,   1,  2350.000,  -127.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "     5,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "     7,'BL',1,   1,   1,   239.000,   -56.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "     8,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "     9,'BL',1,   1,   1,   139.700,    23.800,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    10,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    11,'BL',1,   2,   1,    90.000,    70.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    12,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    14,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    15,'BL',1,   2,   1,   793.400,   207.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    16,'BL',1,   1,   1,   840.000,     5.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    17,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    18,'BL',1,   2,   1,   617.000,   -69.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    29,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    30,'BL',1,   1,   1,  4400.000,  1000.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    33,'BL',1,   1,   1,  3600.000,   700.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    34,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    35,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    36,'BL',1,   2,   1, -1862.000,   971.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    39,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    40,'BL',1,   2,   1,   135.000,    27.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    42,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    43,'BL',1,   1,   1,  2053.000,   907.100,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    44,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    45,'BL',1,   2,   1,   -72.800,   -17.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    46,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    47,'BL',1,   2,   1,   121.000,    25.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    49,'BL',1,   2,   1,   320.000,    65.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    50,'BL',1,   2,   1,   237.200,   -63.200,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    53,'BL',1,   2,   1,   138.000,    28.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    54,'BL',1,   2,   1,   807.800,   132.100,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    56,'BL',1,   2,   1,   117.000,    24.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    57,'BL',1,   2,   1,   121.000,    25.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    58,'BL',1,   2,   1,   887.700,    -6.200,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    59,'BL',1,   2,   1, -2771.000,  1654.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    60,'BL',1,   2,   1,   401.000,    80.600,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    61,'BL',1,   2,   1,   205.200,    17.600,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    62,'BL',1,   2,   1,  -129.000,    32.200,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    64,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    65,'BL',1,   1,   1,  1700.000,   300.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    66,'BL',1,   1,   1,   160.000,    31.250,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    67,'BL',1,   1,   1,   -67.500,   160.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    68,'BL',1,   1,   1,   -44.200,    22.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    69,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    70,'BL',1,   1,   1,  3137.000,  1681.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    72,'BL',1,   1,   1, -1525.000,   -50.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    74,'BL',1,   1,   1,  2584.000,   394.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    75,'BL',1,   1,   1,  3200.000,  1100.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    76,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    77,'BL',1,   1,   1,  3500.000,   500.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    78,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    79,'BL',1,   1,   1,  5000.000,   400.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    81,'BL',1,   1,   1,   -66.600,   -97.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    82,'BL',1,   1,   1,  -339.000,  -119.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    84,'BL',1,   1,   1,   610.000,  -414.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "    99,'BL',1,   3,   1,   -43.300,    20.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   100,'BL',1,   3,   1,   210.400,   -77.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   101,'BL',1,   2,   1,    50.000,    25.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   102,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   103,'BL',1,   2,   1,   305.000,    -7.600,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   104,'BL',1,   3,   1,    27.500,    -0.100,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   105,'BL',1,   3,   1,     8.010,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   106,'BL',1,   2,   1,   265.000,    14.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   107,'BL',1,   2,   1,    55.600,  -329.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   108,'BL',1,   2,   1,   777.600,    32.600,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   109,'BL',1,   2,   1,    40.000,    21.500,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   110,'BL',1,   3,   1,  -189.000,    61.500,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   111,'BL',1,   3,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   112,'BL',1,   3,   1,   148.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   114,'BL',1,   3,   1,    -0.700,   118.500,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   115,'BL',1,   3,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   116,'BL',1,   3,   1,   884.000,    54.800,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   117,'BL',1,   3,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   118,'BL',1,   3,   1,  5661.000,  3491.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   135,'BL',1,   2,   1,   856.000,    19.600,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   136,'BL',1,   2,   1,   175.000,    18.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   137,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   138,'BL',1,   2,   1,   902.300,   -11.400,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   139,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   140,'BL',1,   2,   1,  3191.000,   630.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   141,'BL',1,   2,   1,   204.200,   -28.200,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   142,'BL',1,   2,   1,   377.400,    64.500,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   143,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   144,'BL',1,   2,   1,  3098.000,  1189.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   147,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   148,'BL',1,   2,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   149,'BL',1,   2,   1,  3118.000,    78.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   150,'BL',1,   2,   1,  1230.000,    72.800,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   151,'BL',1,   2,   1,   406.000,    41.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   153,'BL',1,   2,   1,  1066.000,   -10.800,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   154,'BL',1,   1,   1,   457.700,    81.700,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   155,'BL',1,   1,   1,    33.900,    11.900,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   156,'BL',1,   1,   1,   148.000,    -7.900,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   157,'BL',1,   1,   1,   116.100,    38.400,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   158,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   159,'BL',1,   1,   1,   -62.000,    12.800,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   160,'BL',1,   1,   1,   255.000,   100.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   161,'BL',1,   1,   1,   100.000,     0.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   163,'BL',1,   1,   1,    31.600,    11.500,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   164,'BL',1,   1,   1,   141.200,    71.400,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   165,'BL',1,   1,   1,   379.000,   -43.000,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      "   166,'BL',1,   1,   1,   185.000,    78.500,     0.000,     0.000,     0.000,     0.000,   1,1\n",
      " 0 /End of Load data, Begin Fixed shunt data\n",
      "     6,'1 ',1,     0.000,  -113.000\n",
      "     7,'1 ',1,     0.000,  -155.000\n",
      "    11,'1 ',1,     0.000,  -190.000\n",
      "    13,'1 ',1,     0.000,  -391.000\n",
      "    15,'1 ',1,     0.000,  -146.000\n",
      "    16,'1 ',1,     0.000,   390.000\n",
      "    18,'1 ',1,     0.000,  -427.000\n",
      "    36,'1 ',1,     0.000,   912.000\n",
      "    43,'1 ',1,     0.000,   430.000\n",
      "    48,'1 ',1,     0.000,   -80.000\n",
      "    59,'1 ',1,     0.000,  2146.000\n",
      "    62,'1 ',1,     0.000,  -108.000\n",
      "    67,'1 ',1,     0.000,   576.850\n",
      "    70,'1 ',1,     0.000,   792.000\n",
      "    71,'1 ',1,     0.000,   462.000\n",
      "    75,'1 ',1,     0.000,  1019.350\n",
      "    77,'1 ',1,     0.000,   550.000\n",
      "    79,'1 ',1,     0.000,  1200.000\n",
      "    80,'1 ',1,     0.000,  -220.000\n",
      "    81,'1 ',1,     0.000,  -674.000\n",
      "    82,'1 ',1,     0.000,  -110.000\n",
      "    83,'1 ',1,     0.000,  -220.000\n",
      "    84,'1 ',1,     0.000,  -870.000\n",
      "   103,'1 ',1,     0.000,   -91.000\n",
      "   107,'1 ',1,     0.000,  -327.000\n",
      "   108,'1 ',1,     0.000,  -130.000\n",
      "   112,'1 ',1,     0.000,  -128.000\n",
      "   113,'1 ',1,     0.000,   -91.000\n",
      "   114,'1 ',1,     0.000,   -91.000\n",
      "   116,'1 ',1,     0.000,   -32.000\n",
      "   118,'1 ',1,     0.000,  1500.000\n",
      "   138,'1 ',1,     0.000,  -319.000\n",
      "   144,'1 ',1,     0.000,   400.000\n",
      "   146,'1 ',1,     0.000,  -196.000\n",
      "   153,'1 ',1,     0.000,  -190.000\n",
      "   154,'1 ',1,     0.000,   -60.000\n",
      "   157,'1 ',1,     0.000,  -220.000\n",
      "   163,'1 ',1,     0.000,   -18.000\n",
      "   165,'1 ',1,     0.000,   -50.000\n",
      "   179,'1 ',1,     0.000,  -220.000\n",
      " 0 /End of Fixed shunt data, Begin Generator data\n",
      "     3,'1 ',   800.000,   123.043,   300.000,  -300.000,1.04000,     0,  1600.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "     5,'1 ',  1048.000,  -132.905,   400.000,  -400.000,0.95000,     0,  2100.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "     8,'1 ',  2160.000,   -30.469,   700.000,  -500.000,1.00000,     0,  4300.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    10,'1 ',  2050.000,   464.829,   900.000,  -900.000,1.00000,     0,  4100.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    12,'1 ',  1690.000,   195.571,   700.000,  -280.000,1.00000,     0,  3400.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    14,'1 ',  2640.000,   378.080,  1300.000,  -900.000,0.96000,     0,  5300.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    17,'1 ',   962.000,   148.778,   300.000,  -300.000,1.00000,     0,  2000.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    29,'1 ',  4450.000,  1011.075,  4000.000, -4000.000,1.00000,     0,  8900.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    34,'1 ',  4480.000,  1150.177,  5320.000, -3500.000,1.02000,     0,  9000.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    35,'1 ',  1640.000,   285.666,   600.000,  -525.000,1.00900,     0,  3300.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    39,'1 ',   200.000,   -52.159,   268.000,  -134.000,1.02000,     0,   400.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    42,'1 ',   325.000,    68.266,   300.000,  -220.000,1.00000,     0,   650.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    44,'1 ',  1780.000,   534.593,   850.000,  -440.000,1.05000,     0,  3600.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    46,'1 ',   110.000,    29.078,   100.000,  -100.000,1.02000,     0,   220.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    64,'1 ',  2910.000,   953.299,  1500.000, -1000.000,1.00000,     0,  5800.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    69,'1 ',  1301.000,   431.493,   692.000,  -711.000,1.05500,     0,  2600.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    76,'1 ',  5174.765,   855.276,  2649.000, -1850.000,1.00000,     0, 10400.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "    78,'1 ',  9950.000,  1854.073,  5780.000, -2000.000,1.00000,     0, 20000.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   102,'1 ',   765.000,  -206.264,   330.000,  -310.000,0.98000,     0,  1500.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   111,'1 ',  1057.000,    25.675,   400.000,  -400.000,1.02000,     0,  2100.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   115,'1 ',   594.000,   192.348,   300.000,  -300.000,1.05000,     0,  1200.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   117,'1 ',  3467.000,  1654.420,  2500.000, -1000.000,1.00000,     0,  6900.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   137,'1 ',   982.700,  -128.764,   300.000,  -300.000,1.02000,     0,  2000.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   139,'1 ',  3195.000,  1032.512,  2000.000,  -900.000,1.02000,     0,  6400.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   143,'1 ',  1690.000,   593.821,   900.000,  -400.000,1.05000,     0,  3400.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   147,'1 ',  1680.000,   446.627,   700.000,  -300.000,1.05000,     0,  3400.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   148,'1 ',  2200.000,   393.721,   600.000,  -600.000,1.01000,     0,  4400.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   158,'1 ',  1665.000,   -31.368,  9999.000, -9999.000,1.05000,     0,  3300.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      "   161,'1 ',   445.000,    91.733,  9999.000, -9999.000,1.00000,     0,   900.000, 0.00000E+0, 2.50000E-1, 0.00000E+0, 0.00000E+0,1.00000,1,  100.0,  9999.000,     0.000,   1,1.0000\n",
      " 0 /End of Generator data, Begin Branch data\n",
      "     2,      7,'1 ', 1.79000E-3, 1.98800E-2,   2.57600,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "     4,     16,'1 ', 9.77000E-3, 1.10000E-1,   2.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "     4,    159,'1 ', 8.11000E-3, 1.36900E-1,   2.43480,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "     6,     27,'1 ',-0.00000E+0,-4.08000E-3,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "     7,     16,'1 ', 5.00000E-4, 5.30000E-3,   0.08820,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "     7,    162,'1 ', 4.80000E-3, 4.36000E-2,   0.70780,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    11,     19,'1 ',-0.00000E+0,-6.34000E-3,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    11,     21,'1 ',-0.00000E+0,-1.18800E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    11,    138,'1 ', 2.80000E-3, 2.11000E-2,   1.01940,    0.00,    0.00, 1630.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    13,     20,'1 ',-0.00000E+0,-6.34000E-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",
      "    13,     23,'1 ',-0.00000E+0,-8.26000E-3,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    13,     25,'1 ',-0.00000E+0,-1.79500E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    13,     28,'1 ',-0.00000E+0,-6.12000E-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",
      "    15,     18,'1 ', 4.00000E-4, 9.60000E-3,   0.90380,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    15,     18,'2 ', 4.00000E-4, 9.60000E-3,   0.90380,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    15,    135,'1 ', 2.59000E-3, 2.96700E-2,   2.15300,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    15,    135,'2 ', 2.59000E-3, 2.96700E-2,   2.15300,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    18,     22,'1 ',-0.00000E+0,-1.18800E-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",
      "    18,     24,'1 ',-0.00000E+0,-8.26000E-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",
      "    19,     20,'1 ', 7.70000E-4, 1.80400E-2,   1.39842,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    21,     22,'1 ', 2.41000E-3, 5.86500E-2,   4.86560,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    23,     24,'1 ', 1.79000E-3, 4.24400E-2,   3.39220,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    25,     26,'1 ', 2.07000E-3, 4.95900E-2,   3.95160,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    26,    138,'1 ',-0.00000E+0,-1.79500E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    27,     28,'1 ', 1.77000E-3, 4.18900E-2,   3.34460,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    30,     31,'1 ', 3.50000E-3, 7.00000E-2,   4.60600,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    30,     79,'1 ', 8.30000E-4, 2.39000E-2,   3.30000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    32,     33,'1 ', 2.00000E-3, 2.00000E-2,   0.80000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    36,     37,'1 ', 7.40000E-4, 1.86100E-2,   1.40264,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    36,     55,'1 ', 8.20000E-4, 1.66800E-2,   1.18802,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    36,     63,'1 ',-0.00000E+0, 1.59000E-3,   0.12002,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    36,     63,'2 ',-0.00000E+0, 1.59000E-3,   0.12002,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    38,     45,'1 ', 2.21000E-3, 3.34600E-2,   0.07338,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    38,     47,'1 ', 2.90000E-3, 3.80000E-2,   0.08240,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    38,     58,'1 ', 3.09000E-3, 4.67700E-2,   0.10080,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    38,     59,'1 ', 2.26000E-3, 3.42200E-2,   0.07506,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    40,     54,'1 ', 4.70000E-4, 7.23000E-3,   0.01624,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    40,     57,'1 ', 3.50000E-4, 5.36000E-3,   0.01204,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    41,     49,'1 ', 2.20000E-3, 3.42200E-2,   0.07716,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    41,     49,'2 ', 2.38000E-3, 3.66900E-2,   0.08284,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    41,     56,'1 ', 2.01000E-3, 3.07400E-2,   0.06886,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    41,     57,'1 ', 2.81000E-3, 4.29600E-2,   0.09648,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    43,    159,'1 ', 1.80000E-3, 2.45000E-2,   0.43920,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    43,    159,'2 ', 1.80000E-3, 2.45000E-2,   0.43920,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    45,     47,'1 ', 2.90000E-4, 4.34000E-3,   0.00950,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    47,     54,'1 ', 2.29000E-3, 1.58300E-2,   0.03060,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     54,'2 ', 2.29000E-3, 1.58300E-2,   0.03060,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     58,'1 ', 1.41000E-3, 9.67000E-3,   0.01940,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     58,'2 ', 1.41000E-3, 9.67000E-3,   0.01940,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     58,'3 ', 1.61000E-3, 9.71000E-3,   0.01928,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     58,'4 ', 1.61000E-3, 9.71000E-3,   0.01928,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     59,'1 ', 2.70000E-4, 3.93000E-3,   0.00918,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     59,'2 ', 2.70000E-4, 3.93000E-3,   0.00918,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     59,'3 ', 2.70000E-4, 3.93000E-3,   0.00918,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     61,'1 ', 1.38000E-3, 1.11600E-2,   0.02470,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    47,     61,'2 ', 1.38000E-3, 1.11600E-2,   0.02470,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    48,     63,'1 ', 8.30000E-4, 1.88400E-2,   1.66668,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    49,     56,'1 ', 3.70000E-4, 3.66000E-3,   0.00830,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    49,     57,'1 ', 5.50000E-4, 5.86000E-3,   0.01246,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    51,     62,'1 ', 1.07000E-2, 7.90500E-2,   0.36670,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    52,     62,'1 ', 1.07000E-2, 7.90500E-2,   0.36670,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    53,     56,'1 ', 7.30000E-4, 1.02500E-2,   0.02558,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    53,     56,'2 ', 7.30000E-4, 1.02500E-2,   0.02558,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    54,     57,'1 ', 1.19000E-3, 1.24400E-2,   0.02798,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    54,     57,'2 ', 1.19000E-3, 1.24400E-2,   0.02798,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    54,     61,'1 ', 1.28000E-3, 9.79000E-3,   0.02120,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    56,     57,'1 ', 1.10000E-3, 1.18900E-2,   0.02514,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    60,    136,'1 ', 1.40000E-3, 2.64000E-2,   0.10200,    0.00,    0.00, 3070.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    60,    149,'1 ', 6.50000E-4, 1.18700E-2,   0.04672,    0.00,    0.00, 3070.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    60,    149,'2 ', 6.50000E-4, 1.18700E-2,   0.04672,    0.00,    0.00, 3070.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    63,    138,'1 ', 1.79000E-3, 2.52400E-2,   0.53546,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    63,    138,'2 ', 1.79000E-3, 2.52400E-2,   0.53546,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    63,    141,'1 ', 2.00000E-4, 4.10000E-3,   0.29620,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    65,     77,'1 ', 7.00000E-4, 7.40000E-2,   4.87000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    67,     70,'1 ', 6.00000E-5, 1.31000E-3,   0.00378,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    67,     70,'2 ', 6.00000E-5, 1.16000E-3,   0.00332,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    68,     71,'1 ', 1.00000E-5, 3.00000E-4,   0.01434,    0.00,    0.00, 3450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    68,     71,'2 ', 1.00000E-5, 3.00000E-4,   0.01844,    0.00,    0.00, 3450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    68,     75,'1 ', 2.30000E-4, 4.51000E-3,   0.33320,    0.00,    0.00, 2175.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    68,     75,'2 ', 2.00000E-4, 4.46000E-3,   0.30500,    0.00,    0.00, 2175.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    72,     74,'1 ', 1.79000E-3, 1.40500E-2,   3.68000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    73,     77,'1 ', 1.13000E-3, 2.06900E-2,   1.85526,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    74,     75,'1 ', 1.96000E-3, 3.30400E-2,   1.88000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    74,     77,'1 ', 1.42000E-3, 2.25800E-2,   1.88000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    75,     77,'1 ', 1.20000E-3, 2.31600E-2,   1.71520,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    75,     77,'2 ', 3.00000E-4, 2.00000E-2,   3.60000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    75,     81,'1 ', 6.30000E-4, 1.41200E-2,   1.09756,    0.00,    0.00, 3450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    75,     81,'2 ', 1.09000E-3, 2.40800E-2,   1.55542,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    75,     81,'3 ', 1.08000E-3, 2.40900E-2,   1.55348,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    77,     79,'1 ', 2.00000E-4, 8.20000E-3,   1.30000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    77,     79,'2 ', 2.00000E-4, 8.20000E-3,   1.30000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    80,     98,'1 ', 2.64000E-3, 5.35600E-2,   5.29066,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    80,    179,'1 ',-0.00000E+0,-2.66700E-2,   0.00000,    0.00,    0.00, 1732.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    81,     86,'1 ', 4.10000E-4, 7.37000E-3,   0.72694,    0.00,    0.00, 3450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    81,     90,'1 ', 6.60000E-4, 1.26600E-2,   0.95976,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    81,     94,'1 ', 6.60000E-4, 1.26600E-2,   0.95976,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    82,     88,'1 ', 7.20000E-4, 1.38200E-2,   1.27572,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    82,     93,'1 ', 7.80000E-4, 1.50200E-2,   1.13810,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    82,     97,'1 ', 7.40000E-4, 1.41300E-2,   1.06634,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    82,    167,'1 ',-0.00000E+0,-7.20000E-3,   0.00000,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    82,    169,'1 ',-0.00000E+0,-8.64000E-3,   0.00000,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    82,    171,'1 ',-0.00000E+0,-1.00000E-2,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    83,     98,'1 ',-0.00000E+0,-2.66700E-2,   0.00000,    0.00,    0.00, 1732.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    84,    155,'1 ', 6.20000E-3, 6.73000E-2,   1.11560,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    85,     87,'1 ', 6.00000E-4, 1.03600E-2,   1.01456,    0.00,    0.00, 3450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    85,     89,'1 ', 1.20000E-4, 2.38000E-3,   0.21926,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    85,    179,'1 ', 1.22000E-3, 2.37300E-2,   2.20710,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    86,     87,'1 ',-0.00000E+0,-1.26300E-2,   0.00000,    0.00,    0.00, 2000.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    88,     89,'1 ',-0.00000E+0,-8.58000E-3,   0.00000,    0.00,    0.00, 2000.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    90,     91,'1 ',-0.00000E+0,-1.26300E-2,   0.00000,    0.00,    0.00, 2400.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    91,     92,'1 ', 7.40000E-4, 1.42800E-2,   1.08220,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    92,     93,'1 ',-0.00000E+0,-1.26300E-2,   0.00000,    0.00,    0.00, 2400.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    94,     95,'1 ',-0.00000E+0,-1.26300E-2,   0.00000,    0.00,    0.00, 2000.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    95,     96,'1 ', 7.40000E-4, 1.42800E-2,   1.08220,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    96,     97,'1 ',-0.00000E+0,-1.26300E-2,   0.00000,    0.00,    0.00, 2000.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "    99,    100,'1 ', 2.48200E-2, 1.69380E-1,   0.20232,    0.00,    0.00,  838.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "    99,    116,'1 ', 1.48000E-2, 1.01010E-1,   0.12066,    0.00,    0.00,  838.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   100,    104,'1 ', 1.38200E-2, 9.26800E-2,   0.11060,    0.00,    0.00,  747.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   100,    105,'1 ', 1.66800E-2, 1.13810E-1,   0.13608,    0.00,    0.00,  838.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   100,    112,'1 ', 1.11300E-2, 6.67800E-2,   0.07286,    0.00,    0.00,  752.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   100,    112,'2 ', 1.05000E-2, 6.54000E-2,   0.06860,    0.00,    0.00,  602.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   100,    112,'3 ', 1.10500E-2, 6.64200E-2,   0.07160,    0.00,    0.00,  752.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   100,    116,'1 ', 3.90300E-2, 2.74030E-1,   0.31072,    0.00,    0.00,  747.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   101,    103,'1 ', 7.90000E-4, 1.93700E-2,   1.32850,    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 ', 8.70000E-4, 2.08700E-2,   1.45710,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   101,    107,'2 ', 8.70000E-4, 2.08700E-2,   1.45710,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   103,    106,'1 ', 8.30000E-4, 1.98500E-2,   0.00000,    0.00,    0.00, 2450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   103,    133,'1 ', 9.30000E-4, 3.64400E-2,   1.38950,    0.00,    0.00, 2450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   103,    134,'1 ', 7.20000E-4, 1.60000E-2,   1.08790,    0.00,    0.00, 2450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   104,    116,'1 ', 3.05800E-2, 2.04600E-1,   0.24472,    0.00,    0.00,  747.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   105,    116,'1 ', 2.23500E-2, 1.61060E-1,   0.18342,    0.00,    0.00,  838.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   106,    107,'1 ', 1.53000E-3, 1.47000E-2,   0.00000,    0.00,    0.00, 1560.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   106,    109,'1 ', 5.30000E-4, 1.29700E-2,   0.00000,    0.00,    0.00, 2450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   107,    132,'1 ', 2.00000E-5,-1.33100E-2,   0.00000,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   107,    134,'1 ', 2.00000E-5,-9.98000E-3,   0.00000,    0.00,    0.00, 2450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   107,    173,'1 ',-0.00000E+0,-9.35000E-3,   0.00000,    0.00,    0.00, 2134.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   107,    175,'1 ',-0.00000E+0,-9.44000E-3,   0.00000,    0.00,    0.00, 2134.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   107,    177,'1 ',-0.00000E+0,-9.35000E-3,   0.00000,    0.00,    0.00, 2134.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   110,    119,'1 ',-0.00000E+0,-1.00000E-2,   0.00000,    0.00,    0.00, 2667.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   110,    172,'1 ',-0.00000E+0,-1.00000E-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",
      "   113,    123,'1 ', 2.00000E-5,-9.98000E-3,   0.00000,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   113,    125,'1 ', 2.00000E-5,-9.98000E-3,   0.00000,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   113,    168,'1 ',-0.00000E+0,-7.20000E-3,   0.00000,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   113,    170,'1 ',-0.00000E+0,-7.20000E-3,   0.00000,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   114,    124,'1 ', 1.00000E-5,-6.66000E-3,   0.00000,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   114,    126,'1 ', 1.00000E-5,-6.66000E-3,   0.00000,    0.00,    0.00, 1800.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   114,    127,'1 ', 1.00000E-5,-1.12000E-2,   0.00000,    0.00,    0.00, 2667.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   114,    129,'1 ', 1.00000E-5,-7.20000E-3,   0.00000,    0.00,    0.00, 2667.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   118,    122,'1 ',-0.00000E+0,-1.00000E-2,   0.00000,    0.00,    0.00, 2667.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   118,    128,'1 ', 1.00000E-5,-1.12000E-2,   0.00000,    0.00,    0.00, 2667.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   118,    130,'1 ', 1.00000E-5,-3.60000E-3,   0.00000,    0.00,    0.00, 2667.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   118,    131,'1 ', 1.00000E-5,-7.55000E-3,   0.00000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   118,    133,'1 ', 1.00000E-5,-1.09800E-2,   0.00000,    0.00,    0.00, 2450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   119,    120,'1 ', 7.60000E-4, 1.95200E-2,   1.82450,    0.00,    0.00, 2894.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   120,    121,'1 ',-0.00000E+0,-1.00000E-2,   0.00000,    0.00,    0.00, 2667.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   121,    122,'1 ', 8.20000E-4, 2.11900E-2,   1.98420,    0.00,    0.00, 2894.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   123,    124,'1 ', 1.40000E-3, 2.33800E-2,   1.47500,    0.00,    0.00, 2396.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   125,    126,'1 ', 1.40000E-3, 2.33800E-2,   1.47500,    0.00,    0.00, 2396.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   127,    128,'1 ', 1.54000E-3, 3.40900E-2,   2.31140,    0.00,    0.00, 2450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   129,    130,'1 ', 9.50000E-4, 2.10200E-2,   1.42520,    0.00,    0.00, 2450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   131,    132,'1 ', 1.65000E-3, 5.71900E-2,   2.47740,    0.00,    0.00, 2450.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   135,    151,'1 ', 4.20000E-4, 9.05000E-3,   0.66794,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   136,    142,'1 ', 1.90000E-3, 2.58000E-2,   0.09840,    0.00,    0.00, 2320.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   136,    149,'1 ', 8.45000E-3, 7.03400E-2,   0.15954,    0.00,    0.00, 1160.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   138,    141,'1 ', 1.93000E-3, 2.77900E-2,   4.67120,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   138,    146,'1 ', 5.60000E-4, 1.41500E-2,   1.04290,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   140,    142,'1 ', 1.10000E-3, 1.27000E-2,   0.04800,    0.00,    0.00, 2320.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   141,    144,'1 ', 2.80000E-4, 7.53000E-3,   0.51736,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   141,    144,'2 ', 3.50000E-4, 7.50000E-3,   0.55360,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   141,    146,'1 ', 1.90000E-3, 3.10000E-2,   4.14020,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   141,    150,'1 ', 6.00000E-4, 1.28000E-2,   0.94620,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   141,    152,'1 ', 4.40000E-4, 1.12500E-2,   0.82920,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   141,    152,'2 ', 4.40000E-4, 1.12500E-2,   0.82920,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   142,    145,'1 ', 1.38000E-3, 5.39900E-2,   0.15252,    0.00,    0.00, 2320.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   142,    153,'1 ', 3.20000E-3, 3.95000E-2,   0.14400,    0.00,    0.00, 2320.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   144,    150,'1 ', 2.10000E-4, 4.57000E-3,   0.32336,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   149,    153,'1 ', 2.85000E-3, 3.64900E-2,   0.12656,    0.00,    0.00, 2320.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   149,    153,'2 ', 1.38000E-3, 3.39900E-2,   0.11252,    0.00,    0.00, 2320.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   150,    151,'1 ', 4.00000E-4, 9.30000E-3,   0.68560,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   152,    174,'1 ',-0.00000E+0,-9.35000E-3,   0.00000,    0.00,    0.00, 2134.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   152,    176,'1 ',-0.00000E+0,-9.35000E-3,   0.00000,    0.00,    0.00, 2134.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   152,    178,'1 ',-0.00000E+0,-8.40000E-3,   0.00000,    0.00,    0.00, 2100.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   154,    155,'1 ', 2.40000E-3, 3.32000E-2,   0.58490,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,2,   0.00,   1,1.0000\n",
      "   154,    157,'1 ', 5.20000E-3, 6.02000E-2,   1.01000,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   154,    157,'2 ', 4.90000E-3, 5.37000E-2,   0.88430,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   154,    159,'1 ', 1.70000E-3, 2.25000E-2,   0.39920,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   154,    159,'2 ', 2.10000E-3, 2.38000E-2,   0.38450,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   154,    164,'1 ', 1.20000E-3, 1.72000E-2,   0.29870,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   154,    166,'1 ', 8.00000E-4, 1.06000E-2,   0.20390,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   155,    166,'1 ', 1.60000E-3, 2.26000E-2,   0.38100,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   156,    160,'1 ', 1.08000E-2, 9.65000E-2,   0.32960,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   157,    163,'1 ', 9.60000E-3, 8.78000E-2,   1.42650,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   157,    164,'1 ', 3.40000E-3, 3.92000E-2,   0.65240,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   157,    165,'1 ', 3.40000E-3, 3.74000E-2,   0.62080,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   157,    165,'2 ', 3.40000E-3, 3.72000E-2,   0.61820,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   159,    165,'1 ', 3.80000E-3, 3.40000E-2,   0.58240,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   159,    165,'2 ', 3.20000E-3, 3.49000E-2,   0.57220,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   167,    168,'1 ', 1.03000E-3, 2.33800E-2,   1.58040,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   169,    170,'1 ', 1.07000E-3, 2.47000E-2,   1.52700,    0.00,    0.00, 3020.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   171,    172,'1 ', 1.03000E-3, 3.23000E-2,   2.79600,    0.00,    0.00,    0.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   173,    174,'1 ', 1.23000E-3, 2.65900E-2,   1.98702,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   175,    176,'1 ', 1.23000E-3, 2.66200E-2,   1.98880,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      "   177,    178,'1 ', 1.12000E-3, 2.51700E-2,   1.83586,    0.00,    0.00, 3600.00,  0.00000,  0.00000,  0.00000,  0.00000,1,1,   0.00,   1,1.0000\n",
      " 0 /End of Branch data, Begin Transformer data\n",
      "     1,     2,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.46000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     1,     3,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.73000E-2,   100.00\n",
      "0.95450,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     4,     5,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.23800E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     4,    10,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.50000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     6,     7,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.10000E-2,   100.00\n",
      "1.06300,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     6,     7,     0,'2 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.10000E-2,   100.00\n",
      "1.06300,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     7,     8,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 5.90000E-3,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,  3000.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     7,     9,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 2.80000E-4, 1.38000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,   430.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "     7,     9,     0,'2 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 2.90000E-4, 1.39000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,   430.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    11,    12,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 6.66000E-3,   100.00\n",
      "1.08000,   0.000,   0.000,     0.00,     0.00,  2000.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    15,    14,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 6.00000E-5, 4.95000E-3,   100.00\n",
      "1.10610,   0.000,   0.000,     0.00,     0.00,  3066.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    16,    17,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 6.00000E-3,   100.00\n",
      "1.04350,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    30,    29,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.50000E-3,   100.00\n",
      "1.05000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    31,    32,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.00000E-2,   100.00\n",
      "1.10000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    33,    34,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 2.00000E-3,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    84,    35,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 4.60000E-3,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,  2000.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    37,    47,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 1.30000E-4, 6.93000E-3,   100.00\n",
      "1.05000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    38,    39,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 5.00000E-4, 2.38000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    41,    42,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 5.80000E-4, 2.53500E-2,   100.00\n",
      "1.04910,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    43,    44,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 5.20000E-3,   100.00\n",
      "1.02500,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    47,    46,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 4.99000E-3, 1.14730E-1,   100.00\n",
      "1.04780,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    48,    47,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 2.60000E-4, 1.38600E-2,   100.00\n",
      "1.05000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    51,    50,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 5.90000E-4, 1.49100E-2,   100.00\n",
      "1.00170,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    52,    50,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 5.90000E-4, 1.49100E-2,   100.00\n",
      "1.00170,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    53,    50,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 3.00000E-4, 1.33000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    53,    50,     0,'2 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 3.00000E-4, 1.34000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    55,    54,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 1.30000E-4, 1.38600E-2,   100.00\n",
      "1.01060,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    55,    54,     0,'2 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 1.30000E-4, 1.38600E-2,   100.00\n",
      "1.01060,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    59,    60,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.15000E-3,   100.00\n",
      "1.01330,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    63,    62,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 2.00000E-4, 2.33800E-2,   100.00\n",
      "0.97890,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    65,    64,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 5.00000E-3,   100.00\n",
      "1.09000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    67,    66,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 8.90000E-4, 2.99000E-2,   100.00\n",
      "0.98730,   0.000,   0.000,     0.00,     0.00,   250.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    68,    67,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 2.00000E-4, 1.18100E-2,   100.00\n",
      "1.02380,   0.000,   0.000,     0.00,     0.00,  1008.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    68,    67,     0,'2 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 9.00000E-5, 7.35000E-3,   100.00\n",
      "1.02380,   0.000,   0.000,     0.00,     0.00,  1300.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    67,    69,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.03400E-2,   100.00\n",
      "1.04550,   0.000,   0.000,     0.00,     0.00,  2000.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    71,    70,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 2.21000E-3,   100.00\n",
      "1.02340,   0.000,   0.000,     0.00,     0.00,  2500.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 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,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 3.75000E-3,   100.00\n",
      "1.09770,   0.000,   0.000,     0.00,     0.00,  5000.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    79,    78,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 2.50000E-3,   100.00\n",
      "1.06600,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "    83,    84,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 7.20000E-3,   100.00\n",
      "1.05000,   0.000,   0.000,     0.00,     0.00,  1500.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 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,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 9.80000E-3,   100.00\n",
      "1.05000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   108,   107,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 3.00000E-4, 1.74000E-2,   100.00\n",
      "1.11900,   0.000,   0.000,     0.00,     0.00,   840.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   108,   107,     0,'2 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 2.00000E-4, 1.19000E-2,   100.00\n",
      "1.11900,   0.000,   0.000,     0.00,     0.00,  1120.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   111,   112,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 2.28100E-2,   100.00\n",
      "0.91740,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   112,   113,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 1.00000E-4, 1.74000E-2,   100.00\n",
      "1.11900,   0.000,   0.000,     0.00,     0.00,   840.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   115,   116,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.81500E-2,   100.00\n",
      "0.90910,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   116,   118,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 2.00000E-4, 1.25000E-2,   100.00\n",
      "1.11900,   0.000,   0.000,     0.00,     0.00,  1120.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   117,   118,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 4.48000E-3,   100.00\n",
      "0.94520,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   137,   138,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.51200E-2,   100.00\n",
      "0.99600,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   139,   140,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 3.65000E-3,   100.00\n",
      "0.97870,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   143,   144,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 5.16000E-3,   100.00\n",
      "0.98430,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   144,   145,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 5.00000E-3,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   146,   147,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 9.80000E-3,   100.00\n",
      "1.05000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   148,   149,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.02600E-2,   100.00\n",
      "0.98710,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   152,   153,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.14900E-2,   100.00\n",
      "1.06310,   0.000,   0.000,     0.00,     0.00,  1120.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   152,   153,     0,'2 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.14900E-2,   100.00\n",
      "1.06310,   0.000,   0.000,     0.00,     0.00,  1120.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   152,   153,     0,'3 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.14900E-2,   100.00\n",
      "1.06310,   0.000,   0.000,     0.00,     0.00,  1120.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   155,   156,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 3.00000E-4, 1.81000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   157,   158,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 2.00000E-4, 5.80000E-3,   100.00\n",
      "0.98550,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   160,   161,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 5.00000E-4, 1.41000E-2,   100.00\n",
      "1.05880,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      "   163,   162,     0,'1 ',1,1,1, 0.00000E+0, 0.00000E+0,2,'                                        ',1,   1,1.0000\n",
      " 0.00000E+0, 1.95000E-2,   100.00\n",
      "1.00000,   0.000,   0.000,     0.00,     0.00,     0.00, 0,      0, 1.50000, 0.51000, 1.50000, 0.51000, 159, 0, 0.00000, 0.00000,  0.000\n",
      "1.00000,   0.000\n",
      " 0 /End of Transformer data, Begin Area interchange data\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",
      "   1,'1           '\n",
      " 0 /End of Zone data, Begin Inter-area transfer data\n",
      " 0 /End of Inter-area transfer data, Begin Owner data\n",
      "   1,'1           '\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 wecc.raw\n",
    "print('\\n'.join(data))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dynamic Data (PSS/E DYR format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      3 'GENROU' 1     3.9000      0.32000E-01  0.54000      0.62000E-01\n",
      "          2.6400       5.0000       1.8600       1.7800      0.25000\n",
      "         0.45300      0.19500      0.14500       1.9714       6.9000      /\n",
      "      3 'IEEEST' 1          3            0       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000      0.75000       1.0000       4.2000\n",
      "         -2.0000      0.10000     -0.10000       0.0000       0.0000      /\n",
      "      3 'ESST3A' 1    0.20000E-01  0.30000     -0.20000       8.0000\n",
      "          1.0000       5.0000       20.000       0.0000       99.000\n",
      "         -99.000       1.0000       3.6700      0.43500       6.4800\n",
      "         0.10000E-01  0.98000E-02   4.8600       3.3300      0.40000\n",
      "          99.000       0.0000    /\n",
      "      3 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "      5 'GENROU' 1     4.0000      0.32000E-01  0.52000      0.63000E-01\n",
      "          2.6100       0.0000       1.8100       1.7300      0.24500\n",
      "         0.51000      0.19000      0.14000       1.7850       7.1400      /\n",
      "      5 'ST2CUT' 1          1            0            0            0\n",
      "          5.5000       0.0000      0.30000E-01   0.0000       10.000\n",
      "          10.000      0.40000      0.40000E-01   0.0000       0.0000\n",
      "          0.0000       0.0000      0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "      5 'ESST3A' 1    0.20000E-01  0.20000     -0.20000       8.2000\n",
      "          1.0000       5.0000       50.000       0.0000       99.000\n",
      "         -99.000       1.0000       3.5600      0.33500       5.8100\n",
      "         0.10000E-01  0.77000E-02   5.6000       3.7500      0.40000\n",
      "          99.000       0.0000    /\n",
      "      5 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "      8 'GENROU' 1     8.4000      0.35000E-01  0.46000      0.70000E-01\n",
      "          3.4200       0.0000       1.7600       1.5800      0.28500\n",
      "         0.48500      0.20500      0.15500       1.8429       6.4500      /\n",
      "      8 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000       0.0000       0.0000       3.0000\n",
      "          3.0000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "         0.15000      0.50000E-01  0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "      8 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   50.000      0.20000E-01   9999.0      -9999.0\n",
      "          0.0000      0.10000E-01   1.0000    /\n",
      "      8 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     10 'GENROU' 1     4.5000      0.40000E-01  0.50000      0.60000E-01\n",
      "          2.4500       0.0000       1.7000       1.6500      0.25000\n",
      "         0.50000      0.19000      0.14000       1.7850       7.1400      /\n",
      "     10 'ST2CUT' 1          1            0            0            0\n",
      "          0.0000       0.0000      0.25000E-01   0.0000      0.16000E-01\n",
      "         0.16000E-01  0.26000      0.26000E-01  0.26000      0.26000E-01\n",
      "          0.0000       0.0000      0.10000     -0.10000       0.0000\n",
      "          0.0000      /\n",
      "     10 'ESDC2A' 1    0.20000E-01   50.000      0.50000E-01  0.20000E-01\n",
      "          0.0000       3.0000      -3.0000       0.0000      0.51200\n",
      "         0.70000E-01   1.3000       0.0000       3.9825      0.50000\n",
      "          5.3100       1.0490    /\n",
      "     10 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     12 'GENROU' 1     4.2000      0.32000E-01  0.60000      0.66000E-01\n",
      "          3.5900       0.0000       1.7600       1.6800      0.22000\n",
      "         0.40000      0.17500      0.13000       1.9225       7.6900      /\n",
      "     12 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000       0.0000       0.0000       3.0000\n",
      "          3.0000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "         0.15000      0.50000E-01  0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "     12 'EXST1'  1    0.20000E-01   99.000      -99.000       1.0000\n",
      "          10.000       75.000      0.20000E-01   9999.0      -9999.0\n",
      "          0.0000      0.10000E-01   1.0000    /\n",
      "     12 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     14 'GENROU' 1     8.2000      0.33000E-01  0.48000      0.55000E-01\n",
      "          3.8300       0.0000       1.9800       1.8500      0.37500\n",
      "         0.56700      0.28500      0.22500       1.4800       4.4400      /\n",
      "     14 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000       0.0000       0.0000       3.0000\n",
      "          3.0000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "         0.15000      0.50000E-01  0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "     14 'ESST3A' 1    0.20000E-01  0.20000     -0.20000       6.8000\n",
      "          1.0000       5.0000       50.000       0.0000       99.000\n",
      "         -99.000       1.0000       3.7700      0.12400       6.5200\n",
      "         0.10000E-01  0.50000E-02   6.7700       0.0000      0.40000\n",
      "          99.000       0.0000    /\n",
      "     14 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     17 'GENROU' 1     3.8000      0.31000E-01  0.49000      0.58000E-01\n",
      "          2.6300       0.0000       1.6700      0.61000      0.26000\n",
      "         0.45300      0.20500      0.14500       1.9714       6.9000      /\n",
      "     17 'ST2CUT' 1          1            0            0            0\n",
      "          0.0000       0.0000       0.0000       0.0000       30.000\n",
      "          30.000      0.23000      0.25000E-01  0.23000      0.25000E-01\n",
      "          0.0000       0.0000      0.60000E-01 -0.60000E-01   0.0000\n",
      "          0.0000      /\n",
      "     17 'ESDC2A' 1    0.20000E-01   25.000      0.20000E-01  0.20000E-01\n",
      "          0.0000       3.0000      -3.0000       0.0000      0.64200\n",
      "         0.10300      0.99400       0.0000       2.5950      0.35600\n",
      "          3.4600       1.0000    /\n",
      "     17 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     29 'GENROU' 1     8.0000      0.50000E-01  0.20000      0.80000E-01\n",
      "          4.3400       0.0000      0.90000      0.60000      0.25000\n",
      "         0.60000      0.15000      0.90000E-01   2.2000       11.000      /\n",
      "     29 'ST2CUT' 1          3            0            0            0\n",
      "         -3.5000       0.0000       0.0000       0.0000       1.0000\n",
      "          1.0000       0.0000       3.0000      0.80000E-01  0.27000E-01\n",
      "         0.80000E-01  0.27000E-01  0.10000     -0.10000       0.0000\n",
      "          0.0000      /\n",
      "     29 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   72.500      0.20000E-01   9999.0      -9999.0\n",
      "          0.0000      0.10000E-01   1.5000    /\n",
      "     29 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     34 'GENROU' 1     4.6000      0.40000E-01  0.37000      0.10000\n",
      "          2.9500       0.0000       1.8250       1.7800      0.29100\n",
      "         0.44000      0.25000      0.23900       1.3933       4.1800      /\n",
      "     34 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000      0.10000       0.0000       1.0000\n",
      "          1.0000      0.20000      0.10000E-01   0.0000       0.0000\n",
      "          0.0000       0.0000      0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "     34 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   50.000      0.80000E-01   9999.0      -9999.0\n",
      "          0.0000      0.15000E-01   1.0000    /\n",
      "     34 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     35 'GENROU' 1     4.1000      0.33000E-01  0.56000      0.62000E-01\n",
      "          2.3200       0.0000       2.0700       1.9900      0.28000\n",
      "         0.49000      0.21500      0.15500       1.8429       6.4500      /\n",
      "     35 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000       0.0000       0.0000       3.0000\n",
      "          3.0000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "         0.15000      0.50000E-01  0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "     35 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   50.000      0.36000       9999.0      -9999.0\n",
      "          0.0000      0.30000E-01   1.0000    /\n",
      "     35 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     39 'GENROU' 1     9.8000      0.28000E-01  0.20000      0.16000\n",
      "          6.4100       0.0000      0.99500      0.56800      0.19500\n",
      "         0.56800      0.10000      0.89000E-01   2.2400       11.200      /\n",
      "     39 'ST2CUT' 1          1            0            0            0\n",
      "          0.0000       0.0000       0.0000       0.0000       15.000\n",
      "          15.000       0.0000      0.53000E-01   0.0000      0.53000E-01\n",
      "          0.0000       0.0000      0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "     39 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   75.000      0.16000       9999.0      -9999.0\n",
      "          0.0000      0.10000E-01   1.0000    /\n",
      "     39 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.30000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          10.000      0.70000       0.0000    /\n",
      "     42 'GENROU' 1     4.8000      0.37000E-01  0.50000      0.75000E-01\n",
      "          4.1300       0.0000       1.7000       1.6200      0.25600\n",
      "         0.41000      0.10000      0.85000E-01   1.8429       6.4500      /\n",
      "     42 'ST2CUT' 1          3            0            0            0\n",
      "          0.0000       0.0000      0.30000E-01   0.0000       1.5000\n",
      "          1.5000      0.37500       12.000       0.0000       0.0000\n",
      "          0.0000       0.0000      0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "     42 'ESDC2A' 1    0.20000E-01   20.000      0.20000      0.20000E-01\n",
      "          0.0000       2.0000      -2.0000       0.0000      0.54500\n",
      "         0.90000E-01   1.0000       0.0000       3.0975      0.41000\n",
      "          4.1300       1.0000    /\n",
      "     42 'IEEEG1' 1          0           0        20.000      0.80000E-01\n",
      "          0.0000      0.15000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.50000E-01   0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.28000       0.0000\n",
      "          10.000      0.72000       0.0000    /\n",
      "     44 'GENROU' 1     4.7000      0.31000E-01  0.67000      0.61000E-01\n",
      "          2.8800       0.0000       1.9900       1.9000      0.24500\n",
      "         0.42000      0.10000      0.85000E-01   1.9057       6.6700      /\n",
      "     44 'ST2CUT' 1          1            0            0            0\n",
      "          3.0000       0.0000       0.0000       0.0000       10.000\n",
      "          10.000      0.30000      0.30000E-01  0.30000      0.30000E-01\n",
      "          0.0000       0.0000      0.10000     -0.10000       0.0000\n",
      "          0.0000      /\n",
      "     44 'ESST3A' 1    0.20000E-01  0.20000     -0.20000       7.2000\n",
      "          1.0000       4.0000       50.000       0.0000       99.000\n",
      "         -99.000       1.0000       4.3500      0.24300       8.4000\n",
      "         0.10000E-01  0.50000E-02   6.3600       20.000      0.60000\n",
      "          99.000       0.0000    /\n",
      "     44 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     46 'GENROU' 1     7.4000      0.30000E-01  0.20000      0.16000\n",
      "          3.8000       0.0000      0.61900      0.36500      0.23800\n",
      "         0.36500      0.10000      0.85000E-01   1.7850       7.1400      /\n",
      "     46 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000       0.0000       0.0000       3.0000\n",
      "          3.0000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "         0.15000      0.50000E-01  0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "     46 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   50.000      0.16000       9999.0      -9999.0\n",
      "          0.0000      0.15000E-01   1.0000    /\n",
      "     46 'IEEEG1' 1          0           0        20.000      0.90000E-01\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.98000\n",
      "          0.0000      0.30000      0.10000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000       0.0000       0.0000\n",
      "          0.0000      0.90000       0.0000    /\n",
      "     64 'GENROU' 1     4.7800      0.41000E-01  0.53000      0.67000E-01\n",
      "          3.3800       0.0000       1.6026       1.5818      0.28525\n",
      "         0.45122      0.23079      0.16596       1.9475       7.7900      /\n",
      "     64 'ST2CUT' 1          1            0            0            0\n",
      "          3.0000       0.0000      0.30000E-01   0.0000       20.000\n",
      "          20.000       6.7200      0.67200       0.0000       0.0000\n",
      "          0.0000       0.0000      0.10000     -0.10000       0.0000\n",
      "          0.0000      /\n",
      "     64 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   47.500      0.13000       9999.0      -9999.0\n",
      "          0.0000      0.20000E-01   1.0000    /\n",
      "     64 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.50000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     69 'GENROU' 1     4.0000      0.20000E-01  0.20000      0.50000E-01\n",
      "          3.0000       0.0000       1.4846      0.83403      0.61720\n",
      "         0.83403      0.47870      0.40033       1.3900       4.1700      /\n",
      "     69 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000       0.0000       0.0000       3.0000\n",
      "          3.0000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "         0.15000      0.50000E-01  0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "     69 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   50.000      0.16000       9999.0      -9999.0\n",
      "          0.0000      0.26000E-01   1.0000    /\n",
      "     69 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000      0.30000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.40000       0.0000    /\n",
      "     76 'GENROU' 1     8.0000      0.30000E-01  0.20000      0.60000E-01\n",
      "          3.6700       0.0000       1.2009      0.84062      0.46099\n",
      "         0.84062      0.32024      0.30991       1.3900       4.1700      /\n",
      "     76 'ST2CUT' 1          3            0            0            0\n",
      "        -0.40000E-01   0.0000       0.0000       0.0000       29.500\n",
      "          29.500       1.5000      0.15000       1.5000      0.15000\n",
      "          0.0000       0.0000      0.90000E-01 -0.90000E-01   0.0000\n",
      "          0.0000      /\n",
      "     76 'ESDC2A' 1    0.20000E-01   20.000      0.60000E-01  0.20000E-01\n",
      "          0.0000       3.0000      -3.0000       0.0000      0.13000\n",
      "         0.50000E-01   1.3000       0.0000       3.3750      0.30000\n",
      "          4.5000       1.0000    /\n",
      "     76 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000       1.0500\n",
      "          0.0000      0.80000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "     78 'GENROU' 1     7.2000      0.43000E-01  0.20000      0.79000E-01\n",
      "          3.4600       0.0000      0.63800      0.42400      0.22800\n",
      "         0.42400      0.16100      0.12700       1.9675       7.8700      /\n",
      "     78 'ST2CUT' 1          3            0            0            0\n",
      "        -0.60000E-01   0.0000       0.0000       0.0000       29.500\n",
      "          29.500       1.5000      0.15000       1.5000      0.15000\n",
      "          0.0000       0.0000      0.90000E-01 -0.90000E-01   0.0000\n",
      "          0.0000      /\n",
      "     78 'ESDC2A' 1    0.20000E-01   20.000      0.10000      0.20000E-01\n",
      "          0.0000       3.0000      -3.0000       0.0000      0.57000\n",
      "         0.50000E-01   1.2000       0.0000       3.3750      0.30000\n",
      "          4.5000       1.0000    /\n",
      "     78 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    102 'GENROU' 1     6.1200      0.52000E-01   1.5000      0.14400\n",
      "          3.4600       0.0000       2.1290       2.0740      0.46700\n",
      "          1.2700      0.31100      0.25000       1.3333       4.0000      /\n",
      "    102 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000       0.0000       0.0000       3.0000\n",
      "          3.0000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "         0.15000      0.50000E-01  0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "    102 'EXST1'  1    0.20000E-01   99.000      -99.000      0.20000E-01\n",
      "         0.20000E-01   40.000      0.20000E-01   9999.0      -9999.0\n",
      "          0.0000      0.10000E-01   1.0000    /\n",
      "    102 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    111 'GENROU' 1     4.0000      0.51000E-01  0.20000      0.33000E-01\n",
      "          4.3900       5.0000       2.0548       1.3111      0.62622\n",
      "          1.3111      0.51468      0.27397       1.7850       7.1400      /\n",
      "    111 'IEEEST' 1          3            0       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000      0.75000       1.0000       4.2000\n",
      "         -2.0000      0.10000     -0.10000       0.0000       0.0000      /\n",
      "    111 'ESDC2A' 1    0.20000E-01   40.500      0.60000E-01  0.20000E-01\n",
      "          0.0000       2.0000      -2.0000       0.0000      0.50000\n",
      "         0.50000E-01   1.0000       0.0000       2.6250      0.54000\n",
      "          20.000       1.0000    /\n",
      "    111 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000      0.10000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.60000       0.0000    /\n",
      "    115 'GENROU' 1     7.8000      0.60000E-01  0.20000      0.11000\n",
      "          4.1600       0.0000      0.75000      0.53000      0.32000\n",
      "         0.53000      0.30000      0.21500       1.5500       4.6500      /\n",
      "    115 'IEEEST' 1          3            0       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000      0.75000       1.0000       4.2000\n",
      "         -2.0000      0.10000     -0.10000       0.0000       0.0000      /\n",
      "    115 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   40.000      0.20000E-01   9999.0      -9999.0\n",
      "          0.0000      0.10000E-01   1.2000    /\n",
      "    115 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    117 'GENROU' 1     4.5000      0.40000E-01  0.50000      0.60000E-01\n",
      "          3.8200       0.0000       1.7000       1.6500      0.25000\n",
      "         0.50000      0.19000      0.14000       1.7850       7.1400      /\n",
      "    117 'IEEEST' 1          3            0       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000      0.75000       1.0000       4.2000\n",
      "         -2.0000      0.10000     -0.10000       0.0000       0.0000      /\n",
      "    117 'ESDC2A' 1    0.20000E-01   40.000      0.50000E-01  0.20000E-01\n",
      "          0.0000       3.0000      -3.0000       0.0000      0.51200\n",
      "         0.70000E-01   1.3000       0.0000       3.9825      0.50000\n",
      "          5.3100       1.0490    /\n",
      "    117 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    137 'GENROU' 1     7.8000      0.60000E-01  0.20000      0.11000\n",
      "          6.0700       0.0000      0.75000      0.53000      0.32000\n",
      "         0.53000      0.30000      0.21500       1.5500       4.6500      /\n",
      "    137 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000       0.0000       0.0000       3.0000\n",
      "          3.0000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "         0.15000      0.50000E-01  0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "    137 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   50.000      0.20000E-01   9999.0      -9999.0\n",
      "          0.0000      0.10000E-01   1.2000    /\n",
      "    137 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    139 'GENROU' 1     5.3000      0.35000E-01  0.50000      0.77000E-01\n",
      "          2.8200       0.0000       1.6200       1.5700      0.24500\n",
      "         0.37600      0.10000      0.95000E-01   2.1060       10.530      /\n",
      "    139 'ST2CUT' 1          3            0            0            0\n",
      "          0.0000       0.0000       0.0000       0.0000       29.500\n",
      "          29.500       1.5000      0.15000       1.5000      0.15000\n",
      "          0.0000       0.0000      0.90000E-01 -0.90000E-01   0.0000\n",
      "          0.0000      /\n",
      "    139 'ESDC2A' 1    0.20000E-01   20.000      0.50000E-01  0.20000E-01\n",
      "          0.0000       3.0000      -3.0000       0.0000      0.60000\n",
      "         0.70000E-01   1.3000       0.0000       2.8200      0.32000\n",
      "          3.7600       1.0000    /\n",
      "    139 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    143 'GENROU' 1     8.0000      0.50000E-01   1.5000      0.60000E-01\n",
      "          2.7500       0.0000       1.9500       1.8700      0.34000\n",
      "          1.0000      0.29000      0.24000       1.3900       4.1700      /\n",
      "    143 'ST2CUT' 1          1            0            0            0\n",
      "         0.50000       0.0000      0.42000E-01   0.0000       10.000\n",
      "          10.000       1.0000      0.80000E-01   1.7000      0.80000E-01\n",
      "          0.0000       0.0000      0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "    143 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   50.000      0.19000       9999.0      -9999.0\n",
      "          0.0000      0.15000E-01   1.0000    /\n",
      "    143 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    147 'GENROU' 1     8.4000      0.35000E-01  0.46000      0.70000E-01\n",
      "          3.4900       0.0000       1.7600       1.5800      0.28500\n",
      "         0.48500      0.20500      0.15500       1.8429       6.4500      /\n",
      "    147 'ST2CUT' 1          1            0            0            0\n",
      "          5.0000       0.0000      0.29000E-01   0.0000       2.4000\n",
      "          2.4000      0.14400      0.40000E-01  0.37700      0.10500\n",
      "          0.0000       0.0000      0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "    147 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   40.000      0.20000E-01   9999.0      -9999.0\n",
      "          0.0000      0.10000E-01   1.0000    /\n",
      "    147 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    148 'GENROU' 1     4.3000      0.32000E-01  0.43000      0.66000E-01\n",
      "          3.0300       0.0000       1.7900       1.7150      0.22000\n",
      "         0.44000      0.10000      0.85000E-01   1.8525       7.4100      /\n",
      "    148 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000       0.0000       0.0000       3.0000\n",
      "          3.0000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "         0.15000      0.50000E-01  0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "    148 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   40.000      0.20000       9999.0      -9999.0\n",
      "          0.0000      0.35000E-01   1.7500    /\n",
      "    148 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    158 'GENROU' 1     3.9000      0.32000E-01  0.49000      0.62000E-01\n",
      "          2.8200       0.0000       1.6400       1.5700      0.24000\n",
      "         0.43000      0.18500      0.13000       1.9225       7.6900      /\n",
      "    158 'ST2CUT' 1          1            0            0            0\n",
      "          8.0800       0.0000      0.30000E-01   0.0000       10.000\n",
      "          10.000      0.15000      0.50000E-01  0.15000      0.50000E-01\n",
      "          0.0000       0.0000      0.50000E-01 -0.50000E-01   0.0000\n",
      "          0.0000      /\n",
      "    158 'EXST1'  1    0.20000E-01   99.000      -99.000       1.0000\n",
      "          10.000       40.000      0.20000E-01   9999.0      -9999.0\n",
      "          0.0000      0.10000E-01   1.0000    /\n",
      "    158 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n",
      "    161 'GENROU' 1     5.2100      0.42000E-01   1.5000      0.42000E-01\n",
      "          3.0100       0.0000       1.7980       1.7780      0.32400\n",
      "         0.45000      0.26000      0.19300       1.4800       5.1800      /\n",
      "    161 'ST2CUT' 1          1            0            0            0\n",
      "          10.000       0.0000      0.30000E-01   0.0000       30.000\n",
      "          30.000      0.40000      0.50000E-01  0.40000      0.50000E-01\n",
      "          0.0000       0.0000      0.40000E-01 -0.40000E-01   0.0000\n",
      "          0.0000      /\n",
      "    161 'EXST1'  1    0.20000E-01   99.000      -99.000       0.0000\n",
      "         0.20000E-01   50.000      0.10000       9999.0      -9999.0\n",
      "          0.0000      0.12000E-01   1.0000    /\n",
      "    161 'IEEEG1' 1          0           0        20.000      0.10000\n",
      "          0.0000      0.20000       1.0000      -1.0000      0.95000\n",
      "          0.0000      0.10000       0.0000       0.0000       0.0000\n",
      "          0.0000       0.0000       0.0000      0.30000       0.0000\n",
      "          8.7200      0.70000       0.0000    /\n"
     ]
    }
   ],
   "source": [
    "data = !cat wecc.dyr\n",
    "print('\\n'.join(data))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}