{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CGrid Rect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "from cem_gridtools.cem_gridtools import CGridRect\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note the points may be in either direction, but internally they will be converted to anticlockwise\n",
    "x = np.array([0, 2, 2, 0], dtype='d')\n",
    "y = np.array([1, 1, 0, 0], dtype='d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = CGridRect(x,y)\n",
    "g.gen_gridrect(0.2)\n",
    "g.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Geographic rectangular"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.array([152.3913, 152.4514, 152.4303, 152.3702], dtype='d')\n",
    "y = np.array([-23.9340, -23.9001, -23.8626, -23.896], dtype='d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This time, set the geo flag to True\n",
    "g = CGridRect(x,y,True)\n",
    "g.gen_gridrect(300) # Cell size in metres\n",
    "g.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ToDo : generate grid via stereographic projection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Export grid to SHOC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export to file\n",
    "g.export_shoc_grid('shoc_grid.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# X coordinates\r\n",
      "XCOORDS 1421\r\n",
      "152.4514000\r\n",
      "152.4501556\r\n",
      "152.4489112\r\n",
      "152.4476656\r\n",
      "152.4464200\r\n",
      "152.4451738\r\n",
      "152.4439277\r\n",
      "152.4426811\r\n",
      "152.4414345\r\n",
      "152.4401875\r\n",
      "152.4389405\r\n",
      "152.4376931\r\n",
      "152.4364457\r\n",
      "152.4351979\r\n",
      "152.4339500\r\n",
      "152.4327017\r\n",
      "152.4314535\r\n",
      "152.4302047\r\n",
      "152.4289560\r\n",
      "152.4277067\r\n",
      "152.4264575\r\n",
      "152.4252077\r\n",
      "152.4239579\r\n",
      "152.4227076\r\n",
      "152.4214573\r\n",
      "152.4202064\r\n",
      "152.4189555\r\n",
      "152.4177040\r\n",
      "152.4164525\r\n",
      "152.4152004\r\n",
      "152.4139482\r\n",
      "152.4126953\r\n",
      "152.4114425\r\n",
      "152.4101888\r\n",
      "152.4089352\r\n",
      "152.4076807\r\n",
      "152.4064262\r\n",
      "152.4051707\r\n",
      "152.4039152\r\n",
      "152.4026586\r\n",
      "152.4014019\r\n",
      "152.4001439\r\n",
      "152.3988859\r\n",
      "152.3976259\r\n",
      "152.3963660\r\n",
      "152.3951033\r\n",
      "152.3938405\r\n",
      "152.3925703\r\n",
      "152.3913000\r\n",
      "152.4506459\r\n",
      "152.4494007\r\n",
      "152.4481556\r\n",
      "152.4469097\r\n",
      "152.4456639\r\n",
      "152.4444176\r\n",
      "152.4431712\r\n",
      "152.4419245\r\n",
      "152.4406778\r\n",
      "152.4394307\r\n",
      "152.4381836\r\n",
      "152.4369360\r\n",
      "152.4356885\r\n",
      "152.4344405\r\n",
      "152.4331926\r\n",
      "152.4319442\r\n",
      "152.4306958\r\n",
      "152.4294469\r\n",
      "152.4281980\r\n",
      "152.4269486\r\n",
      "152.4256992\r\n",
      "152.4244493\r\n",
      "152.4231994\r\n",
      "152.4219489\r\n",
      "152.4206984\r\n",
      "152.4194473\r\n",
      "152.4181963\r\n",
      "152.4169446\r\n",
      "152.4156929\r\n",
      "152.4144406\r\n",
      "152.4131882\r\n",
      "152.4119351\r\n",
      "152.4106821\r\n",
      "152.4094282\r\n",
      "152.4081743\r\n",
      "152.4069196\r\n",
      "152.4056648\r\n",
      "152.4044091\r\n",
      "152.4031533\r\n",
      "152.4018964\r\n",
      "152.4006395\r\n",
      "152.3993811\r\n",
      "152.3981227\r\n",
      "152.3968624\r\n",
      "152.3956021\r\n",
      "152.3943389\r\n",
      "152.3930758\r\n",
      "152.3918070\r\n",
      "152.3905382\r\n",
      "152.4498918\r\n",
      "152.4486459\r\n",
      "152.4474000\r\n",
      "152.4461538\r\n",
      "152.4449077\r\n",
      "152.4436613\r\n",
      "152.4424148\r\n",
      "152.4411679\r\n",
      "152.4399211\r\n",
      "152.4386739\r\n",
      "152.4374266\r\n",
      "152.4361790\r\n",
      "152.4349313\r\n",
      "152.4336832\r\n",
      "152.4324351\r\n",
      "152.4311866\r\n",
      "152.4299380\r\n",
      "152.4286890\r\n",
      "152.4274400\r\n",
      "152.4261904\r\n",
      "152.4249409\r\n",
      "152.4236908\r\n",
      "152.4224408\r\n",
      "152.4211901\r\n",
      "152.4199395\r\n",
      "152.4186883\r\n",
      "152.4174370\r\n",
      "152.4161852\r\n",
      "152.4149333\r\n",
      "152.4136808\r\n",
      "152.4124282\r\n",
      "152.4111749\r\n",
      "152.4099216\r\n",
      "152.4086676\r\n",
      "152.4074135\r\n",
      "152.4061585\r\n",
      "152.4049035\r\n",
      "152.4036475\r\n",
      "152.4023915\r\n",
      "152.4011342\r\n",
      "152.3998770\r\n",
      "152.3986182\r\n",
      "152.3973595\r\n",
      "152.3960988\r\n",
      "152.3948381\r\n",
      "152.3935746\r\n",
      "152.3923111\r\n",
      "152.3910438\r\n",
      "152.3897764\r\n",
      "152.4491370\r\n",
      "152.4478909\r\n",
      "152.4466447\r\n",
      "152.4453983\r\n",
      "152.4441520\r\n",
      "152.4429054\r\n",
      "152.4416588\r\n",
      "152.4404118\r\n",
      "152.4391648\r\n",
      "152.4379175\r\n",
      "152.4366701\r\n",
      "152.4354224\r\n",
      "152.4341746\r\n",
      "152.4329264\r\n",
      "152.4316782\r\n",
      "152.4304295\r\n",
      "152.4291809\r\n",
      "152.4279317\r\n",
      "152.4266826\r\n",
      "152.4254329\r\n",
      "152.4241832\r\n",
      "152.4229330\r\n",
      "152.4216828\r\n",
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      "152.4123530\r\n",
      "152.4111022\r\n",
      "152.4098508\r\n",
      "152.4085995\r\n",
      "152.4073474\r\n",
      "152.4060954\r\n",
      "152.4048428\r\n",
      "152.4035902\r\n",
      "152.4023371\r\n",
      "152.4010839\r\n",
      "152.3998303\r\n",
      "152.3985766\r\n",
      "152.3973225\r\n",
      "152.3960683\r\n",
      "152.3948137\r\n",
      "152.3935592\r\n",
      "152.3923042\r\n",
      "152.3910492\r\n",
      "152.3897938\r\n",
      "152.3885384\r\n",
      "152.3872827\r\n",
      "152.3860270\r\n",
      "152.3847710\r\n",
      "152.3835150\r\n",
      "152.3822588\r\n",
      "152.3810025\r\n",
      "152.3797461\r\n",
      "152.3784897\r\n",
      "152.3772332\r\n",
      "152.3759767\r\n",
      "152.3747202\r\n",
      "152.3734637\r\n",
      "152.3722073\r\n",
      "152.3709509\r\n",
      "152.4303000\r\n",
      "152.4290622\r\n",
      "152.4278244\r\n",
      "152.4265809\r\n",
      "152.4253373\r\n",
      "152.4240915\r\n",
      "152.4228457\r\n",
      "152.4215984\r\n",
      "152.4203511\r\n",
      "152.4191027\r\n",
      "152.4178543\r\n",
      "152.4166049\r\n",
      "152.4153556\r\n",
      "152.4141054\r\n",
      "152.4128552\r\n",
      "152.4116043\r\n",
      "152.4103534\r\n",
      "152.4091018\r\n",
      "152.4078503\r\n",
      "152.4065981\r\n",
      "152.4053459\r\n",
      "152.4040931\r\n",
      "152.4028404\r\n",
      "152.4015871\r\n",
      "152.4003338\r\n",
      "152.3990800\r\n",
      "152.3978262\r\n",
      "152.3965719\r\n",
      "152.3953177\r\n",
      "152.3940630\r\n",
      "152.3928083\r\n",
      "152.3915532\r\n",
      "152.3902981\r\n",
      "152.3890426\r\n",
      "152.3877872\r\n",
      "152.3865314\r\n",
      "152.3852756\r\n",
      "152.3840195\r\n",
      "152.3827635\r\n",
      "152.3815072\r\n",
      "152.3802510\r\n",
      "152.3789945\r\n",
      "152.3777381\r\n",
      "152.3764816\r\n",
      "152.3752251\r\n",
      "152.3739687\r\n",
      "152.3727122\r\n",
      "152.3714561\r\n",
      "152.3702000\r\n",
      "\r\n",
      "# Y coordinates\r\n",
      "YCOORDS 1421\r\n",
      "-23.9001000\r\n",
      "-23.9008019\r\n",
      "-23.9015038\r\n",
      "-23.9022064\r\n",
      "-23.9029090\r\n",
      "-23.9036119\r\n",
      "-23.9043148\r\n",
      "-23.9050180\r\n",
      "-23.9057211\r\n",
      "-23.9064245\r\n",
      "-23.9071279\r\n",
      "-23.9078315\r\n",
      "-23.9085351\r\n",
      "-23.9092390\r\n",
      "-23.9099428\r\n",
      "-23.9106469\r\n",
      "-23.9113510\r\n",
      "-23.9120554\r\n",
      "-23.9127598\r\n",
      "-23.9134644\r\n",
      "-23.9141691\r\n",
      "-23.9148740\r\n",
      "-23.9155790\r\n",
      "-23.9162842\r\n",
      "-23.9169895\r\n",
      "-23.9176950\r\n",
      "-23.9184006\r\n",
      "-23.9191065\r\n",
      "-23.9198125\r\n",
      "-23.9205188\r\n",
      "-23.9212251\r\n",
      "-23.9219318\r\n",
      "-23.9226384\r\n",
      "-23.9233456\r\n",
      "-23.9240527\r\n",
      "-23.9247603\r\n",
      "-23.9254679\r\n",
      "-23.9261761\r\n",
      "-23.9268843\r\n",
      "-23.9275931\r\n",
      "-23.9283019\r\n",
      "-23.9290115\r\n",
      "-23.9297211\r\n",
      "-23.9304318\r\n",
      "-23.9311425\r\n",
      "-23.9318547\r\n",
      "-23.9325670\r\n",
      "-23.9332835\r\n",
      "-23.9340000\r\n",
      "-23.8987598\r\n",
      "-23.8994615\r\n",
      "-23.9001632\r\n",
      "-23.9008655\r\n",
      "-23.9015678\r\n",
      "-23.9022705\r\n",
      "-23.9029732\r\n",
      "-23.9036761\r\n",
      "-23.9043790\r\n",
      "-23.9050822\r\n",
      "-23.9057854\r\n",
      "-23.9064887\r\n",
      "-23.9071921\r\n",
      "-23.9078958\r\n",
      "-23.9085994\r\n",
      "-23.9093032\r\n",
      "-23.9100071\r\n",
      "-23.9107112\r\n",
      "-23.9114153\r\n",
      "-23.9121197\r\n",
      "-23.9128240\r\n",
      "-23.9135287\r\n",
      "-23.9142333\r\n",
      "-23.9149383\r\n",
      "-23.9156432\r\n",
      "-23.9163485\r\n",
      "-23.9170537\r\n",
      "-23.9177593\r\n",
      "-23.9184649\r\n",
      "-23.9191708\r\n",
      "-23.9198767\r\n",
      "-23.9205830\r\n",
      "-23.9212893\r\n",
      "-23.9219960\r\n",
      "-23.9227027\r\n",
      "-23.9234098\r\n",
      "-23.9241169\r\n",
      "-23.9248245\r\n",
      "-23.9255321\r\n",
      "-23.9262402\r\n",
      "-23.9269483\r\n",
      "-23.9276570\r\n",
      "-23.9283657\r\n",
      "-23.9290751\r\n",
      "-23.9297845\r\n",
      "-23.9304947\r\n",
      "-23.9312049\r\n",
      "-23.9319165\r\n",
      "-23.9326281\r\n",
      "-23.8974196\r\n",
      "-23.8981210\r\n",
      "-23.8988225\r\n",
      "-23.8995246\r\n",
      "-23.9002266\r\n",
      "-23.9009291\r\n",
      "-23.9016315\r\n",
      "-23.9023342\r\n",
      "-23.9030369\r\n",
      "-23.9037399\r\n",
      "-23.9044428\r\n",
      "-23.9051460\r\n",
      "-23.9058492\r\n",
      "-23.9065525\r\n",
      "-23.9072559\r\n",
      "-23.9079595\r\n",
      "-23.9086631\r\n",
      "-23.9093670\r\n",
      "-23.9100708\r\n",
      "-23.9107749\r\n",
      "-23.9114790\r\n",
      "-23.9121834\r\n",
      "-23.9128877\r\n",
      "-23.9135924\r\n",
      "-23.9142970\r\n",
      "-23.9150019\r\n",
      "-23.9157069\r\n",
      "-23.9164121\r\n",
      "-23.9171173\r\n",
      "-23.9178229\r\n",
      "-23.9185284\r\n",
      "-23.9192343\r\n",
      "-23.9199402\r\n",
      "-23.9206464\r\n",
      "-23.9213526\r\n",
      "-23.9220592\r\n",
      "-23.9227658\r\n",
      "-23.9234728\r\n",
      "-23.9241798\r\n",
      "-23.9248872\r\n",
      "-23.9255946\r\n",
      "-23.9263025\r\n",
      "-23.9270103\r\n",
      "-23.9277184\r\n",
      "-23.9284266\r\n",
      "-23.9291347\r\n",
      "-23.9298429\r\n",
      "-23.9305495\r\n",
      "-23.9312561\r\n",
      "-23.8960782\r\n",
      "-23.8967796\r\n",
      "-23.8974811\r\n",
      "-23.8981831\r\n",
      "-23.8988850\r\n",
      "-23.8995873\r\n",
      "-23.9002896\r\n",
      "-23.9009921\r\n",
      "-23.9016946\r\n",
      "-23.9023973\r\n",
      "-23.9031001\r\n",
      "-23.9038030\r\n",
      "-23.9045059\r\n",
      "-23.9052091\r\n",
      "-23.9059122\r\n",
      "-23.9066155\r\n",
      "-23.9073189\r\n",
      "-23.9080225\r\n",
      "-23.9087260\r\n",
      "-23.9094299\r\n",
      "-23.9101337\r\n",
      "-23.9108377\r\n",
      "-23.9115418\r\n",
      "-23.9122461\r\n",
      "-23.9129504\r\n",
      "-23.9136550\r\n",
      "-23.9143596\r\n",
      "-23.9150645\r\n",
      "-23.9157694\r\n",
      "-23.9164745\r\n",
      "-23.9171797\r\n",
      "-23.9178852\r\n",
      "-23.9185906\r\n",
      "-23.9192964\r\n",
      "-23.9200022\r\n",
      "-23.9207083\r\n",
      "-23.9214143\r\n",
      "-23.9221207\r\n",
      "-23.9228271\r\n",
      "-23.9235338\r\n",
      "-23.9242405\r\n",
      "-23.9249475\r\n",
      "-23.9256544\r\n",
      "-23.9263614\r\n",
      "-23.9270685\r\n",
      "-23.9277752\r\n",
      "-23.9284819\r\n",
      "-23.9291871\r\n",
      "-23.9298923\r\n",
      "-23.8947367\r\n",
      "-23.8954383\r\n",
      "-23.8961398\r\n",
      "-23.8968416\r\n",
      "-23.8975434\r\n",
      "-23.8982455\r\n",
      "-23.8989476\r\n",
      "-23.8996499\r\n",
      "-23.9003522\r\n",
      "-23.9010548\r\n",
      "-23.9017573\r\n",
      "-23.9024600\r\n",
      "-23.9031627\r\n",
      "-23.9038656\r\n",
      "-23.9045685\r\n",
      "-23.9052716\r\n",
      "-23.9059747\r\n",
      "-23.9066780\r\n",
      "-23.9073813\r\n",
      "-23.9080848\r\n",
      "-23.9087883\r\n",
      "-23.9094921\r\n",
      "-23.9101959\r\n",
      "-23.9108999\r\n",
      "-23.9116039\r\n",
      "-23.9123081\r\n",
      "-23.9130124\r\n",
      "-23.9137169\r\n",
      "-23.9144214\r\n",
      "-23.9151262\r\n",
      "-23.9158310\r\n",
      "-23.9165360\r\n",
      "-23.9172411\r\n",
      "-23.9179464\r\n",
      "-23.9186517\r\n",
      "-23.9193573\r\n",
      "-23.9200628\r\n",
      "-23.9207686\r\n",
      "-23.9214744\r\n",
      "-23.9221804\r\n",
      "-23.9228864\r\n",
      "-23.9235925\r\n",
      "-23.9242985\r\n",
      "-23.9250044\r\n",
      "-23.9257103\r\n",
      "-23.9264156\r\n",
      "-23.9271209\r\n",
      "-23.9278247\r\n",
      "-23.9285284\r\n",
      "-23.8933950\r\n",
      "-23.8940965\r\n",
      "-23.8947980\r\n",
      "-23.8954998\r\n",
      "-23.8962015\r\n",
      "-23.8969035\r\n",
      "-23.8976054\r\n",
      "-23.8983075\r\n",
      "-23.8990097\r\n",
      "-23.8997120\r\n",
      "-23.9004143\r\n",
      "-23.9011167\r\n",
      "-23.9018192\r\n",
      "-23.9025219\r\n",
      "-23.9032245\r\n",
      "-23.9039274\r\n",
      "-23.9046302\r\n",
      "-23.9053332\r\n",
      "-23.9060362\r\n",
      "-23.9067395\r\n",
      "-23.9074427\r\n",
      "-23.9081462\r\n",
      "-23.9088496\r\n",
      "-23.9095533\r\n",
      "-23.9102570\r\n",
      "-23.9109609\r\n",
      "-23.9116648\r\n",
      "-23.9123690\r\n",
      "-23.9130732\r\n",
      "-23.9137776\r\n",
      "-23.9144820\r\n",
      "-23.9151866\r\n",
      "-23.9158912\r\n",
      "-23.9165961\r\n",
      "-23.9173009\r\n",
      "-23.9180060\r\n",
      "-23.9187111\r\n",
      "-23.9194163\r\n",
      "-23.9201215\r\n",
      "-23.9208269\r\n",
      "-23.9215322\r\n",
      "-23.9222375\r\n",
      "-23.9229428\r\n",
      "-23.9236478\r\n",
      "-23.9243529\r\n",
      "-23.9250572\r\n",
      "-23.9257616\r\n",
      "-23.9264646\r\n",
      "-23.9271676\r\n",
      "-23.8920532\r\n",
      "-23.8927548\r\n",
      "-23.8934563\r\n",
      "-23.8941579\r\n",
      "-23.8948596\r\n",
      "-23.8955614\r\n",
      "-23.8962632\r\n",
      "-23.8969651\r\n",
      "-23.8976671\r\n",
      "-23.8983692\r\n",
      "-23.8990713\r\n",
      "-23.8997735\r\n",
      "-23.9004758\r\n",
      "-23.9011782\r\n",
      "-23.9018806\r\n",
      "-23.9025831\r\n",
      "-23.9032857\r\n",
      "-23.9039885\r\n",
      "-23.9046912\r\n",
      "-23.9053942\r\n",
      "-23.9060971\r\n",
      "-23.9068003\r\n",
      "-23.9075034\r\n",
      "-23.9082068\r\n",
      "-23.9089101\r\n",
      "-23.9096137\r\n",
      "-23.9103173\r\n",
      "-23.9110211\r\n",
      "-23.9117249\r\n",
      "-23.9124289\r\n",
      "-23.9131329\r\n",
      "-23.9138371\r\n",
      "-23.9145414\r\n",
      "-23.9152458\r\n",
      "-23.9159502\r\n",
      "-23.9166547\r\n",
      "-23.9173593\r\n",
      "-23.9180640\r\n",
      "-23.9187686\r\n",
      "-23.9194733\r\n",
      "-23.9201780\r\n",
      "-23.9208825\r\n",
      "-23.9215870\r\n",
      "-23.9222912\r\n",
      "-23.9229954\r\n",
      "-23.9236988\r\n",
      "-23.9244023\r\n",
      "-23.9251045\r\n",
      "-23.9258067\r\n",
      "-23.8907114\r\n",
      "-23.8914129\r\n",
      "-23.8921144\r\n",
      "-23.8928159\r\n",
      "-23.8935175\r\n",
      "-23.8942192\r\n",
      "-23.8949208\r\n",
      "-23.8956226\r\n",
      "-23.8963243\r\n",
      "-23.8970262\r\n",
      "-23.8977281\r\n",
      "-23.8984301\r\n",
      "-23.8991321\r\n",
      "-23.8998343\r\n",
      "-23.9005364\r\n",
      "-23.9012387\r\n",
      "-23.9019410\r\n",
      "-23.9026435\r\n",
      "-23.9033460\r\n",
      "-23.9040486\r\n",
      "-23.9047513\r\n",
      "-23.9054541\r\n",
      "-23.9061570\r\n",
      "-23.9068600\r\n",
      "-23.9075630\r\n",
      "-23.9082663\r\n",
      "-23.9089695\r\n",
      "-23.9096730\r\n",
      "-23.9103764\r\n",
      "-23.9110800\r\n",
      "-23.9117837\r\n",
      "-23.9124875\r\n",
      "-23.9131913\r\n",
      "-23.9138953\r\n",
      "-23.9145992\r\n",
      "-23.9153033\r\n",
      "-23.9160074\r\n",
      "-23.9167115\r\n",
      "-23.9174157\r\n",
      "-23.9181198\r\n",
      "-23.9188239\r\n",
      "-23.9195278\r\n",
      "-23.9202317\r\n",
      "-23.9209352\r\n",
      "-23.9216387\r\n",
      "-23.9223415\r\n",
      "-23.9230444\r\n",
      "-23.9237461\r\n",
      "-23.9244478\r\n",
      "-23.8893695\r\n",
      "-23.8900710\r\n",
      "-23.8907725\r\n",
      "-23.8914739\r\n",
      "-23.8921754\r\n",
      "-23.8928769\r\n",
      "-23.8935784\r\n",
      "-23.8942800\r\n",
      "-23.8949816\r\n",
      "-23.8956833\r\n",
      "-23.8963849\r\n",
      "-23.8970867\r\n",
      "-23.8977885\r\n",
      "-23.8984904\r\n",
      "-23.8991923\r\n",
      "-23.8998943\r\n",
      "-23.9005963\r\n",
      "-23.9012985\r\n",
      "-23.9020007\r\n",
      "-23.9027031\r\n",
      "-23.9034054\r\n",
      "-23.9041080\r\n",
      "-23.9048105\r\n",
      "-23.9055132\r\n",
      "-23.9062159\r\n",
      "-23.9069188\r\n",
      "-23.9076217\r\n",
      "-23.9083248\r\n",
      "-23.9090279\r\n",
      "-23.9097312\r\n",
      "-23.9104344\r\n",
      "-23.9111378\r\n",
      "-23.9118412\r\n",
      "-23.9125447\r\n",
      "-23.9132483\r\n",
      "-23.9139519\r\n",
      "-23.9146555\r\n",
      "-23.9153591\r\n",
      "-23.9160627\r\n",
      "-23.9167662\r\n",
      "-23.9174698\r\n",
      "-23.9181731\r\n",
      "-23.9188764\r\n",
      "-23.9195792\r\n",
      "-23.9202821\r\n",
      "-23.9209843\r\n",
      "-23.9216864\r\n",
      "-23.9223877\r\n",
      "-23.9230889\r\n",
      "-23.8880277\r\n",
      "-23.8887291\r\n",
      "-23.8894305\r\n",
      "-23.8901319\r\n",
      "-23.8908333\r\n",
      "-23.8915346\r\n",
      "-23.8922360\r\n",
      "-23.8929374\r\n",
      "-23.8936388\r\n",
      "-23.8943402\r\n",
      "-23.8950416\r\n",
      "-23.8957432\r\n",
      "-23.8964447\r\n",
      "-23.8971463\r\n",
      "-23.8978480\r\n",
      "-23.8985497\r\n",
      "-23.8992515\r\n",
      "-23.8999534\r\n",
      "-23.9006553\r\n",
      "-23.9013573\r\n",
      "-23.9020594\r\n",
      "-23.9027616\r\n",
      "-23.9034638\r\n",
      "-23.9041662\r\n",
      "-23.9048686\r\n",
      "-23.9055712\r\n",
      "-23.9062737\r\n",
      "-23.9069765\r\n",
      "-23.9076792\r\n",
      "-23.9083821\r\n",
      "-23.9090850\r\n",
      "-23.9097880\r\n",
      "-23.9104910\r\n",
      "-23.9111941\r\n",
      "-23.9118972\r\n",
      "-23.9126004\r\n",
      "-23.9133036\r\n",
      "-23.9140067\r\n",
      "-23.9147099\r\n",
      "-23.9154129\r\n",
      "-23.9161159\r\n",
      "-23.9168187\r\n",
      "-23.9175215\r\n",
      "-23.9182239\r\n",
      "-23.9189262\r\n",
      "-23.9196279\r\n",
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      "-23.8946039\r\n",
      "-23.8953019\r\n",
      "-23.8960000\r\n"
     ]
    }
   ],
   "source": [
    "!cat shoc_grid.txt"
   ]
  }
 ],
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   "nbconvert_exporter": "python",
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