From 955dcd77a32e618676e1028464a81e14ad1a5bcf Mon Sep 17 00:00:00 2001 From: Scott Date: Fri, 15 Feb 2019 12:27:38 -0700 Subject: [PATCH] update frostnumber.ipynb: add download curl command and change call commands to pymt.models --- docs/demos/frost_number.ipynb | 64 ++++++++++++++++------------------- 1 file changed, 30 insertions(+), 34 deletions(-) diff --git a/docs/demos/frost_number.ipynb b/docs/demos/frost_number.ipynb index e425fab6..2290d846 100644 --- a/docs/demos/frost_number.ipynb +++ b/docs/demos/frost_number.ipynb @@ -7,7 +7,11 @@ "## Frost Number Model\n", "\n", "* Link to this notebook: https://github.com/csdms/pymt/blob/master/docs/demos/frost_number.ipynb\n", - "* Install command: `$ conda install notebook pymt_permamodel`\n", + "* Install command:\n", + " `$ conda install notebook pymt_permamodel`\n", + "* Download a local copy of the notebook:\n", + "\n", + " `$ curl -O https://raw.githubusercontent.com/csdms/pymt/master/docs/demos/frost_number.ipynb`\n", "\n", "### Introduction to Permafrost Processes - Lesson 1\n", "\n", @@ -60,40 +64,32 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m✓ Avulsion\u001b[39;49;00m\n", - "\u001b[32m✓ Plume\u001b[39;49;00m\n", - "\u001b[32m✓ Sedflux3D\u001b[39;49;00m\n", - "\u001b[32m✓ Subside\u001b[39;49;00m\n", - "\u001b[32m✓ FrostNumber\u001b[39;49;00m\n", - "\u001b[32m✓ Ku\u001b[39;49;00m\n", - "\u001b[32m✓ Hydrotrend\u001b[39;49;00m\n", - "\u001b[32m✓ Child\u001b[39;49;00m\n", - "\u001b[32m✓ Cem\u001b[39;49;00m\n", - "\u001b[32m✓ Waves\u001b[39;49;00m\n" - ] - } - ], + "outputs": [], "source": [ + "# Import standard Python modules\n", + "\n", "import numpy as np\n", "import pandas\n", - "\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import pymt" + "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[33;01m➡ models: FrostNumber, Ku, Hydrotrend\u001b[39;49;00m\n" + ] + } + ], "source": [ - "frost_number = pymt.plugins.FrostNumber()" + "# Import the FrostNumber PyMT model\n", + "import pymt.models\n", + "frost_number = pymt.models.FrostNumber()" ] }, { @@ -389,17 +385,17 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ - "frost_number = pymt.plugins.FrostNumber()\n", + "frost_number = pymt.models.FrostNumber()\n", "config_file, run_folder = frost_number.setup()" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -408,7 +404,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -425,22 +421,22 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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GKi8BXwjPqW/t4MXPD/LsJ8VUNraRm2TjhvnG+Hx4iAfntLtZfkk9P1r9JeX1bdy2eDw3LRxDgLuHpcq2wDMXQVQKrFhvfHUjbwn4pwK/1VqfY37/cwCt9R8GKi8BXwj3K6hq5qmPi3h1SylHOruZPzaBGxfkcMb4ZPcHQos0tnXy87XbeXN7BaeNS+TPV04nKSrUvSc9+Ck8dynEZhqzd2yJbjvVYAO+uy+zZwAlTt+XAnPcfE4hRD9aazYV1PDkxkLe23OY4IAALpyezg3zc5icHm119dwuOiyYh5fPYP7nifyff+5k6UMf8cBV05k/1n1BmKy5sPwleOEKeO5iuG4dRMS773yD4O6AP1B3oc9HCqXUKmAVQFZWlpurI4R/6eiy88+t5TyxsZBdFY3E20L40ZnjuHZuFslRI3d8fiiUUiyfk8XM0bHc/OJXXPvEZ/zwjLHceva4E1q584TkLISrX4DVy+D5y+C61yDMugvgMqQjhA+qbengxc+KeWZTMVVN7YxLjuTGBTlcPCPDs2vOeKnWji5+u24nazaXckp2HA9ePcO9CWR7N8DL10LGLGPtnVDXLgHhLWP4QRgXbc8CyjAu2i7XWu8cqLwEfCGGZ//hJp7YWMTfvyylvcvOwvFJ3Lggh4XjEj0zF32EeT2/jF/8fTvBQQH86fJpLJrsxourO1+DV1fC6PmwfA2EuG4FUa8Yw9dadymlbgbexpiW+eTRgr0QYmi01mzcX80TGwv5z94qQoICuHRGBjcsyGF8SpTV1fNqF03P4KRRsfxo9Zd899nNrJyfzZ1LJhIa5IZPQVMuNjJx/74KXr4Grl4NwZ4dVpPEKyFGqLbObtblG+Pzew81kRgZwrfnZnPN3CwSI908A8XHtHd184f1e3j6kyLyMqJ5eNlMshNt7jnZl8/Bupth/BK48lkIChn2U3rFkM6JkoAvxPFVN7fz/KfFPP9pMdXNHUxMjeLGBTlcOD3dPT1TP/LurkPc/spWuu2a/3tJHhdNd1PS1BePw5u3weSL4LInIXB4gy1eMaQjhHCdvZVNPLGxgNfyy+nosnPmxGRuXJDDvDEJMj7vIosmp7DhltP48eqvuOWlfD7eX81vL5xCRIiLQ+Up34Gudnj7FxB4E1zyKAS4/81aAr4QXsxu13ywr4onNxby0b5qwoIDuOLkUaycn+PZzT78SHpsOC+tmssD/9rHI//Zz5cH63lk+UwmpLr4esipP4SuNnjvbggKhQv+CgHu3ZhdAr4QXqC5vYui6hYKqlsorGqhsLqZwuoWCqtbaGzrIjkqlJ+eM4Hls7OIsw1/zFccW1BgALefM4G5uQnc+nI+Fz68kd9cMIVlszNd+2nqtNuMnv4H90JEIiz6P6577gHIGL4QHtLe1c3BmlYKqlsoMoN5gfm1qqm9T9n0mDBykmzkJNo4JTueJXlphAS5t/cnBlbV1M5/rcnno33VnHdSGn+4dCrRrtyrV2v46D6YsHTIm6fIRVshLNBt15TXHzF76mYvvaaVwupmyuqOYHf6d0uwhZCTaAT17EQbuYk2cpJsjI63+dTiZb7Abtf874cHuP+dr8mIDeevy2ZYtqXjQCTgC+EmWmuqmtodQy7OPfWDNa10dNsdZW0hgWZPPZKcnqBuBviYcA+szy5caktxLT9enc/hpjZ+du5EblyQ4xUXzCXgCzFMDUc6zYDeTGF1a+/9qhZaOrod5UICAxidEOHorTtuSTaSIkO9IiAI16lv7eCOV7fxzq5DnDkxmfuumEa8xddVJOALMQhtnd0U1RgXSguceuxF1S3UtHQ4ygUoyIgLJycx0tFL77mlx4Z7/bZ/wrW01jy7qZj/++Zu4m0hPHj1dObkJlhWHwn4Qpg6u+2U1h1x6qmbY+tVLZQ3tPUpmxwV+o2eem6Sjcz4CElqEt+wo6yBH63+iuKaFm45azw3nznWkjd/SbwSfsVu1xxqauvTU++ZCXOwtpUup6ul0WFB5CRFMic3oU9gz060ERkq/xJi8PIyYvjnjxbw69d28Jd/fc2mgmoevHqG124NKT18MaLUtXQ4Db30zFVvpai6hSOdvePqYcEBZCd8s6eekxhJXESwjKsLl3t1Sym/em0H4SGB3H/lNL41Idlj55YevhixWtq7+oylO8+CaTjS6SgXGKDIijculs4b07e3nhod5rPb9QnvdPnJo5ieGcvNL37Jyqe+4HsLc7n9nAkEu2tzlSGQgC8s0dFl52Bta7+eunE71PjNJKTsRBvnn5TWp6c+Ki7cq/6ZhBibHMlrP5zP79/cxaMfFvBZYS1/XTaDzHjXrX0/HDKkI9ymJwmpsLqFopoWCqp6g3ppXWufJKR4pySkPuPqCZKEJEamDdsruGPtNgDuvewklk5Nc9u5ZJaO8AitNdXNHY6ees9aMEU1LRTVtNLR1TcJKbtnPN2cp56TGElOgo2YCElCEr6npLaVH63+ivySeq6Zk8Wvzp/sli0mZQxfuFRjW6cjkDv31AurW2hu73KUCw5UjDYvln5rQnKfAJ8UJUlIwr9kxkfwyk2nct/be3n0wwK2FNfx8PKZlq10Kj184dDW2U2xue6Lc0+9sLqF6ubeJCSlICM2vM9SATlJRk89I06SkIQYyPt7D3Pbmq0c6ejm7oumcPnJo1zWAZIhHTGgLkcSUss3buUNR3D+c0gyk5ByzTnqPfcz4yPc8rFUCF93qLGNW1/KZ1NBDZfMyOB3F+e5JPdDhnT8mNaaQ43tFDhllBbVGFMbD9b0TUKKCgsiN9HGKdlx5CRmGuPqCTayEyOIcuUSsEIIUqLDeP47c3jk/f088K+vyS+p56/LZpCXEeOR80sPfwTrSUIqcuql93zvnIQUGhTQJ5vUeSgm3hYi4+pCWOCzghpueSmf2pYO7jpvEtedOnrI/4vSw/cRrR29SUiFVS0U1vQG9/rWvklImXHGuPqpuQmOnnpOko00SUISwuvMyU1g/S2n8dNXtvKbdTsprWvlrvMmu/WcEvC9QE8SUt+s0uYBk5DSYsLISbSxdGoaOQk9SUjGuLokIQkxssTbQnj8+lk8+XER88e6f7VNCfgeYrdryhsGvlhaUts3CSkuIpicRBsLxiY5Anq2Oa4eESIvmRC+RCnFjQtyPHIuiR4u1JOE1Hd99WYz07RvElJESCA5iTbyMmK4cFp6n+zS2AjZpFoI4XoS8Iegsa2zd/jFaa56YVULTf2SkIzFvSI5Y0Kyo6eem2QjWZKQhBAeJgH/KNo6uzlY2+qUVdq7FG91c++4unMS0iUzM3qX4k2MJD02jCAZVxdCeIlhBXyl1J+AC4AO4ACwUmtdbz72c+BGoBv4sdb67WHW1eW6uu2U1R/5RlZpQdU3k5ASI0PJTbRx1sRkcpJ6e+pZkoQkhBghhtvDfxf4uda6Syl1L/Bz4GdKqcnA1cAUIB34l1JqvNa6+xjP5RZaaw43tQ/QUzd2QursdkpCCg0iN8nGrOw4chJHOXrqkoQkhPAFwwr4Wut3nL79FLjcvH8R8JLWuh0oVErtB2YDm4ZzvmOpb+3o01N3vt/a0fs+ExIUQE6CjXHJUSyekuqYq56TaCNBkpCEED7MlWP4NwAvm/czMN4AepSax9zita/KuPXlfMf3PUlI2Yk25uTGm1mlkZKEJITwa8cN+EqpfwGpAzx0l9b6dbPMXUAX8ELPjw1QfsA1HJRSq4BVAFlZWYOo8jdNz4zlrqWTzFUbbWTGRRASJBdLhRDC2XEDvtb67GM9rpS6HjgfOEv3LsxTCmQ6FRsFlB/l+R8DHgNjLZ1B1PkbshNtfHdh7lB+VAgh/MawusFKqXOBnwEXaq1bnR5aB1ytlApVSuUA44DPh3MuIYQQwzPcMfyHgVDgXfNi56da65u01juVUmuAXRhDPT+0YoaOEEKIXl61PLJSqgooHuKPJwLVLqzOSCBt9g/SZv8wnDaP1lonHa+QVwX84VBKbR7MetC+RNrsH6TN/sETbZapLEII4Sck4AshhJ/wpYD/mNUVsIC02T9Im/2D29vsM2P4Qgghjs2XevhCCCGOQQK+EEL4Ca8O+EqpTKXU+0qp3UqpnUqpW8zj8Uqpd5VS+8yvceZxpZR6SCm1Xym1TSk10+m5rjfL7zOXg/A6Lm7vW0qpeqXUG1a1ZzBc1Wal1HSl1CbzObYppa6ysl3H4sI2j1ZKbVFK5ZvPc5OV7ToWV/5tm49HK6XKlFIPW9GewXDx/3O3+TrnK6XWDblSWmuvvQFpwEzzfhTwNTAZ+CNwp3n8TuBe8/5SYAPG4m1zgc/M4/FAgfk1zrwfZ3X73NVe87GzMDanecPqdnnoNR4PjDPvpwMVQKzV7XNzm0OAUPN+JFAEpFvdPnf/bZuPPwi8CDxsdds80Wag2SV1svqXcoK/wNeBRcBeIM3pl7rXvP8osMyp/F7z8WXAo07H+5Tz1ttQ2+v0/Rl4ecB3dZudjm/teQPw9psr2gwkAAe9NeC7ss3AycBLwApvDvgubrNLAr5XD+k4U0plAzOAz4AUrXUFgPk12SyWAZQ4/VjPOvxHO+61htneEclVbVZKzcbo/R5wb42Hb7htNocNtpmP36u1HnBVWm8ynDYrpQKA+4Gfeqq+ruCCv+0wpdRmpdSnSqmLh1qPERHwlVKRwFrgVq1147GKDnBMH+O4V3JBe0ccV7VZKZUGPIexv7LdtbV0LVe0WWtdorU+CRgLXK+USnF9TV3HBW3+AbBea10ywONeyUV/21naWHZhOfCAUmrMUOri9QFfKRWM8ct6QWv9d/PwIfMfu+cf/LB5/Gjr8A96fX6ruai9I4qr2qyUigbeBH6ptXbecc3ruPp1Nnv2O4HT3Fnv4XBRm08FblZKFQH3Adcppe7xQPWHxFWvc88nN611AfAfjE8LJ8yrA75SSgFPALu11n92emgd0DPT5nqMsbGe49eZV7vnAg3mR6a3gcVKqTjzivhi85hXcWF7RwxXtVkpFQL8A3hWa/2Kh6o/JC5s8yilVLj5nHHAfIxxX6/jqjZrra/RWmdprbOB2zFe7zs904oT48LXOU4pFWo+ZyLG67xrSJWy+kLGcS5yLMD4SLMNyDdvSzEuUL0H7DO/xpvlFfAIxtjtdmCW03PdAOw3byutbpsH2vsRUAUcweg5nGN1+9zZZuBaoNPpOfKB6Va3z81tXmQ+x1bz6yqr2+aJv22n51yBF1+0deHrPM/8fqv59cah1kmWVhBCCD/h1UM6QgghXEcCvhBC+AkJ+EII4SeGu4m5SyUmJurs7GyrqyGEECPKli1bqvUg9rQdUsBXSj0JnA8c1lrnDfC4wljrYinQCqzQWn95vOfNzs5m8+bNQ6mSEEL4LaVU8WDKDXVI52ng3GM8vgQYZ95WAf8zxPMIIYRwkSEFfK31h0DtMYpchJEQobWR8Rjbk1kmhBCir3d3HaK+tcPt53HXRdtBL+qllFplLgq0uaqqyk3VEUII77SrvJEfvLCFP73t/iRpdwX8QS/qpbV+TGs9S2s9KynpuNcchBDCZ3R02fmvNfnEhIdw2+IJbj+fu2bp+MSiXkII4U5//fc+9lQ28bfrZhFvC3H7+dzVwx/xi3oJIYQ7bS2p5//95wCXzRzFosmeWdV6qNMyV2PsppSolCoFfgMEA2it/xdYjzElcz/GtMyVrqisEEL4grbObm57ZStJkaH8+oLJHjvvkAK+1nrZcR7XwA+HVCMhhPBxf373a/YfbuaZG2YTEx7ssfPK0gpCCOFBXxTV8rePClg+J4vTx3t2oooEfCGE8JDWji5uf2UrGbHh/GLpJI+f36vW0hFCCF92z4Y9FNe08tKquUSGej78Sg9fCCE84OP91Ty7qZiV87OZm5tgSR0k4AshhJs1tXVyx6vbyE20ccc5Ey2rhwzpCCGEm/3+jd1UNBzh1e/PIzwk0LJ6SA9fCCHc6P09h3l5cwnfO30MM7PiLK2LBHwhhHCT+tYOfrZ2GxNSorj17HFWV0eGdIQQwl1+u24ntS0dPLniFEKDrBvK6SE9fCGEcIO3dlTwWn45N585lryMGKurA0jAF0IIl6tubueuf+wgLyOaH35rrNXVcZAhHSGEcCGtNb/8xw6a2rp48YrpBAdZWRhQAAAWfUlEQVR6T7/ae2oihBA+YN3Wct7aWclPFo1nQmqU1dXpQwK+EEK4yKHGNn79+k5mZMWyamGu1dX5Bgn4QgjhAlpr7ly7jfaubu6/YhqBAQPt9GotCfhCCOECr2wu5f29VdxxzkRykyKtrs6AJOALIcQwlda1cvcbu5iTE8+KedlWV+eoJOALIcQw2O2aO17dhtaa+66YRoAXDuX0kIAvhBDD8PxnxXxyoIa7zptMZnyE1dU5Jgn4QggxREXVLfxh/R4Wjk9i2exMq6tzXBLwhRBiCLrtmp++upWgQMW9l01FKe8dyukhmbZCCDEET24s5IuiOu6/YhppMeFWV2dQpIcvhBAnaP/hJv70zl4WTU7h0pkZVldn0CTgCyHECejqtnPbmq3YQgL570tGxlBODxnSEUKIE/C/Hxxga2kDDy+fQVJUqNXVOSHSwxdCiEHaVd7Ig+/t4/yT0jj/pHSrq3PCfCLgVzW18/6ewxxuarO6KkIIH9XRZee/1uQTEx7C7y7Ks7o6Q+ITQzof76/m1pfzAUiOCmVqRgxTMmLIS48mLyOGtJiwETXOJoTwPg+9t489lU387bpZxNlCrK7OkPhEwF80OYU13zuVHWUN7ChvYGdZI+/vPYxdG4/H20KYYgb/vPQYpmbEkBkfLm8CQohB2VpSz/98cIDLZo5i0eQUq6szZD4R8G2hQczOiWd2Trzj2JGObnZXNrKzrIEdZY3sKG/g8Y8K6Ow23gWiwoLIS48hL8N4I5iSHkNOos0rlzQVQlinrbOb217ZSnJUKL++YLLV1RkWnwj4AwkPCWRmVhwzs+Icx9q7utl3qJkdZQ1sL2tgR3kjz2wqpqPLDkBESCBT0qOZkh5jfBrIiGZsUiRBXrRFmRDCs+5/Zy/7Dzfz7A2ziQkPtro6w+KzAX8goUGBZiCP4WrzWGe3nQNVzcangLIGdpY3sGZzCU9/UmT+TAAT06Id1wPy0mMYnxpJaFCgZe0QQnjGF0W1PL6xkGvmZLFwfJLV1Rk2pbW2ug4Os2bN0ps3b7a6GnTbNYXVLewsbzCuC5hDQk1tXQAEByrGp0Q5hoSmZMQwKTWa8BB5ExDCV7R2dLHkwY+wa81btyzEFuq9/WOl1Bat9azjlfPeFlgoMEAxNjmSscmRXDTdSJvWWlNSe4Qd5eZwUFkD7+4+xMubSwAIUDA2OdJ8EzBuk9OjifTiPxIhxNHds2EPxTWtvLRqrlcH+xPhG63wAKUUWQkRZCVEsHRqGmC8CVQ0tJmzg4wLxBv3V/P3r8rMn4GcBFufKaJ56THERIzscUAhfN3H+6t5dlMxN8zPYW5ugtXVcRkJ+MOglCI9Npz02HAWT0l1HD/c2MbO8kbHNNEvi+v459Zyx+OZ8eGOTwI900UTI0dWirYQvqqprZM7Xt1GbqKNO86dYHV1XGrIAV8pdS7wIBAIPK61vqff4yuAPwFl5qGHtdaPD/V8I0lydBjJ0WF8a2Ky41hdSwc7ynuvB+wsa2DDjkrH46nRYY4poj1vBinRoZIrIISH/f6N3VQ0HOHV788jLNi3rssNKeArpQKBR4BFQCnwhVJqndZ6V7+iL2utbx5mHX1CnC2E08Ylcdq43iv9jW2d7Or5JGAOC7235zA919ETI0PMKaLRjjeBUXGSMCaEu/x7j3Fd7vtnjOkzpdtXDLWHPxvYr7UuAFBKvQRcBPQP+OIYosOCmZub0GeMsLWji90VjY5pojvKG3n0gwK6zLThmPBgxxtAz7WB7ASbV2+cLMRIUN/awZ1rtzMhJYpbzx5ndXXcYqgBPwMocfq+FJgzQLnLlFILga+Bn2itS/oXUEqtAlYBZGVlDbE6viMiJIiTR8dz8ujerOG2zm72VjY5hoR2ljfw1MdFdHQbCWO2kECmpMcwxXwjmDoqhtxEmySMCXECfrNuJ7UtHTy54hSfzbMZasAfqDvZf0L/P4HVWut2pdRNwDPAmd/4Ia0fAx4DYx7+EOvj08KCA5mWGcu0zFjHsc5uO18fauq9OFzWwOrPD9LWaTd/JoBJadG9uQLpMYxPiSIkSN4EhOhvw/YKXs8v5ydnjycvI8bq6rjNUAN+KeC8RfsooNy5gNa6xunbvwH3DvFcYgDBgQFGrz49hitnGS9Ft11TUNXs+CSwvayBf3xVxnOfFgMQEhjAhNQoxxtAXkYME1OjfO7ClBAnorq5nbte28HUjBh+8K0xVlfHrYYa8L8AximlcjBm4VwNLHcuoJRK01pXmN9eCOweci3FoAQGKMalRDEuJYpLZhjH7HZNcW1rn5VE12+vZPXnJb0/kxzpuDg8NSOGSWnRPpNoIsSxaK355T920NzWxf1XTiPYx4dBh/RfrbXuUkrdDLyNMS3zSa31TqXU3cBmrfU64MdKqQuBLqAWWOGiOosTEBCgyEm0kZNo44Jpxg49WmvK6o/0WTbig68Ps/bLUsBIGMtNtDmmiE4xPxGM9IWjhOjv9fxy3tpZyZ1LJjI+Jcrq6ridrKUjAONN4HBTu+NNYLu5kFxFQ+8uYlnxEebmMr3TRONH6EYQQhxqbGPRnz9gbHIkr9w0b0QvjS5r6YgTopQiJTqMlOgwzprUu8FDdXO748LwTnMdoTe3VzgeT48JM6eH9g4JJUeHWdEEIQZNa82da7fR0W3nviumjehgfyIk4ItjSowM5fTxSZzutDRsQ2unsZKoU+bwv3YfciSMJUWFOtYO6rk2kBErCWPCe6zZXML7e6v4zQWTyU2KtLo6HiMBX5ywmIhg5o1NZN7YRMex5nYjYWx7ae/F4Q++rnJsMxkXEdznDSAvPYas+AhJGBMeV1rXyu/e2M3c3HiuPzXb6up4lAR84RKRoUGckh3PKdl9t5ncU9noWEl0e1kDT2x02mYyNIjJPauImsNBOYmRfvPxWnie3a6549VtaK350+XT/K7DIQFfuE14SCAzsuKYcZRtJnuGhJ7/tJh2c5vJ8OBA400gPdpxbWBcSqTPT5cTnvH8Z8V8cqCG/75kKpnxEVZXx+Mk4AuPct5mskdXt539/baZfGVLKc9sMhPGggKYmBpFXkYMUzNimDYqlvEpstewODFF1S38Yf0eFo5PYtnszOP/gA+SaZnCK3XbNUU1Lb0rifbbZjIiJJCpGTFMz4plRmYs0zPjSI2R2UFiYN12zVWPbmLvoSbe+clC0mLCra6SS8m0TDGiBQYoxiRFMiap7zaTRTWt5JfUkX+wnvySep7cWOi4JpAaHcb0zFimZ8UyPTOWk0bFEBEif+ICntxYyObiOv585TSfC/YnQv4bxIihVG/W8CUzRgHGSqK7KhodbwBfldTx1k5jY5kABeNTophhvgFMz4xjbLJcFPY3+w418ad39rJocgqXzMiwujqWkoAvRrSw4EBmZsX12ayiprmd/JJ6x+2NbRWOtYMiQ4M4aVSM+QZgfBpIjpKhIF/V1W3ntle2YgsJ5L8vmer3uSAS8IXPSYgM5axJKY6MYbtdU1DdYr4B1JFfUs9jH/ZuKpMRG97nDSAvPYbwEFlB1Bf8z38OsK20gUeWzyQpSvaNloAvfF5AgGJsciRjkyO5/OTeoaAdZQ3mMFA9+QfrHUtGBAYoJqZGOd4EZmTFkpsY6Xdztke6neUNPPTvfVwwLZ3zTkqzujpeQQK+8EthwYHMyo5nllOi2OGmNse1gPySel7PL+eFzw4CEBUW1PspwLwlREqP0Vt1dNm5bc1WYiNCuPvCKVZXx2tIwBfClBwVxuIpqSyekgoYU/kOVDWTf9D8FFBSzyPv73csF5EZH870zDjHG8CU9GjZTMZLPPTePvZUNvH4dbOIkxVdHSTgC3EUgQGK8SlRjE+J4spTjESd1o4utpc2OD4FfFFYyz+3Gpu9BQcqJqVF9/kUkJNo8/sLhZ6WX1LP//vPfi4/eRRnT045/g/4EUm8EmKYKhvayC+pc1wL2F7WQGtHNwCxEcFMG9V7QXj6qFjpcbpRW2c35z30Ea0d3bz9k4VEh/nHpj2SeCWEh6TGhHFuTBrn5hkXBru67ew73Gx8CjCvCTy0b59j+ejshAinWUFxTE6Lls3lXeT+d/ZyoKqFZ2+Y7TfB/kRIwBfCxYICA5iUFs2ktGiWzc4CjOWjt5WayWEH6/n4QA2v5RtDQSGBAUxOj3YkiM3IjCMzXvYPOFGfF9by+MZCrpmTxUKn/RtELxnSEcICWmvKG3pmBRm5AdvLGmjrNFYNjbeFOD4FzM1N4OTRcZIhfAwt7V0sefAjNJq3blmILdS/+rIypCOEF1NKkREbTkZsuGOOeGe3nb2VTX2yhP+95zBg7CJ2zpQUlualMTsnXlYK7eeeDXsoqWvlpe/O9btgfyLkNyOElwgODHAsHX3t3NEANBzp5MOvq9iwo4K1W8p4/tODxNtCWDw5hSVT05g3JsHv9wrYuK+a5z4t5sYFOczJTbC6Ol5NhnSEGCGOdHTzwdeHWb+9kvd2H6Klo5uY8GDOnpTC0qmpLBiXSGiQf+UBNLZ1cu5fPiQsJJD1Pz7Nb/MgZEhHCB8THhLIuXnGbKC2zm427qtm/Y4K3tlVydovS4kKDeKsScmcm5fGGROS/CL4/f6NXVQ2trH2+/P8or3DJQFfiBEoLDiQsyencPbkFDq67Hx8oJq3tlfy9q5KXssvJyIkkG9NTGapGfx9cVz733sOsWZzKT84Y0yfbTTF0cmQjhA+pLPbzmcFtWzYUcHbOyupbu4gNCiAMyYksXRqGmdOTCbKB+an17d2sOgvH5JgC+H1m+f73VBWfzKkI4QfCg4MYMG4RBaMS+Tui/L4oqiWt3ZUmm8AhwgJDOC0cYksmZrGokkpxESMzOD/m3U7qWvp4KkVp/h9sD8REvCF8FGBAYq5uQnMzU3g1+dP5quSOtZvr+StHZW8t+cwQQGKeWMTWZpnLBgXP0KWfNiwvYLX88v5ydnjycuIsbo6I4oM6QjhZ7TWbCttYP2OCjZsr+RgbSuBAYo5OfEsmZrGOVNSvHYXsOrmdhb/5UMyYsP5+w/m+f2U1B6DHdKRgC+EH9Nas6uikQ3bK1m/o4KCqhaUglNGx7Nkairn5qV6zabfWmtuen4L7++p4o0fL2B8SpTVVfIaEvCFECdEa82+w82s3270/PceagJgZlYsS/LSODcvlcz4CMvq99pXZdz6cj4/XzKR750+xrJ6eCMJ+EKIYTlQ1cxbOypZv72CneWNAJw0KoYleWksyUslO9HmsbpUNrSx+C8fMC4lijXfO1XWFepHAr4QwmUO1rSyYUcF63dUsrWkHoBJadEszUtlydRUxia7b3hFa83Kp7/g04IaNtyykBwPvtGMFBLwhRBuUVrXyls7jNk+m4vrABiXHMmSqWksnZrKhJQoly7t/PIXB/nZ2u389oLJrJif47Ln9SUS8IUQblfZ0MbbO41hny+KarFryEm0sSQvlaVT05iSHj2s4F9a18q5D3zE1IwYXvjOHAJkKGdAEvCFEB5V1dTOO7sq2bC9kk0FNXTbNaPiwlk61Rjzn54Ze0LB327XXPvEZ2wtqeetWxdaesHY20mmrRDCo5KiQrlmzmiumTOaupYO3t11iPU7Knjq40Ie+7CAtJgwzjV7/idnxR23t/7cp8V8cqCGP1w6VYK9iwy5h6+UOhd4EAgEHtda39Pv8VDgWeBkoAa4SmtddKznlB6+EL6n4Ugn7+0+xPrtlXy4r4qOLjvJUaGcM8W44Ds7+5sbuhRWt7D0wY+YnRPP0ytPke0ej8OtQzpKqUDga2ARUAp8ASzTWu9yKvMD4CSt9U1KqauBS7TWVx3reSXgC+Hbmtu7+Peew2zYXsH7ew/T1mknwRbC4impLMlL5dQxCQQoxZWPbmLfoSbe+cnppMZ4Z9avN3H3kM5sYL/WusA82UvARcAupzIXAb81778KPKyUUtqbLhoIITwqMjSIC6elc+G0dFo7uvhgbxXrd1SyLr+M1Z8fJCY8mImpUWwpruPPV06TYO9iQw34GUCJ0/elwJyjldFadymlGoAEoNq5kFJqFbAKICsra4jVEUKMNBEhQSyZmsaSqcaGLh9+XcVbOyp5d9chzjspjUtmZFhdRZ8z1IA/0IBa/577YMqgtX4MeAyMIZ0h1kcIMYKFBQeyeIqxaqfdrlEKGbd3g6EuNVcKZDp9PwooP1oZpVQQEAPUDvF8Qgg/ERCgJNi7yVAD/hfAOKVUjlIqBLgaWNevzDrgevP+5cC/ZfxeCCGsM6QhHXNM/mbgbYxpmU9qrXcqpe4GNmut1wFPAM8ppfZj9OyvdlWlhRBCnDivyrRVSlUBxUP88UT6XRD2A9Jm/yBt9g/DafNorXXS8Qp5VcAfDqXU5sHMQ/Ul0mb/IG32D55os+wPJoQQfkICvhBC+AlfCviPWV0BC0ib/YO02T+4vc0+M4YvhBDi2Hyphy+EEOIYvDrgK6UylVLvK6V2K6V2KqVuMY/HK6XeVUrtM7/GmceVUuohpdR+pdQ2pdRMp+e63iy/Tyl1/dHOaSUXt/ctpVS9UuoNq9ozGK5qs1JqulJqk/kc25RSx1yZ1UoubPNopdQWpVS++Tw3WdmuY3Hl37b5eLRSqkwp9bAV7RkMF/8/d5uvc75Sqn+S6+Bprb32BqQBM837URhLMk8G/gjcaR6/E7jXvL8U2ICxjs9c4DPzeDxQYH6NM+/HWd0+d7XXfOws4ALgDavb5aHXeDwwzryfDlQAsVa3z81tDgFCzfuRQBGQbnX73P23bT7+IPAi8LDVbfNEm4Fml9TJ6l/KCf4CX8dYg38vkOb0S91r3n8UY13+nvJ7zceXAY86He9TzltvQ22v0/dn4OUB39Vtdjq+tecNwNtvrmgzxkq0B7014LuyzRibKr0ErPDmgO/iNrsk4Hv1kI4zpVQ2MAP4DEjRWlcAmF+TzWIDLduccYzjXmuY7R2RXNVmpdRsjN7vAffWePiG22Zz2GCb+fi9Wuv+ixh6neG0WSkVANwP/NRT9XUFF/xthymlNiulPlVKXTzUeoyIgK+UigTWArdqrRuPVXSAY/oYx72SC9o74riqzUqpNOA5YKXW2u7aWrqWK9qstS7RWp8EjAWuV0qluL6mruOCNv8AWK+1Lhngca/kor/tLG1k4S4HHlBKjRlKXbw+4CulgjF+WS9orf9uHj5k/mP3/IMfNo8fbdnmwSzn7BVc1N4RxVVtVkpFA28Cv9Raf+qJug+Vq19ns2e/EzjNnfUeDhe1+VTgZqVUEXAfcJ1Sqs9+2t7EVa9zzyc3bewy+B+MTwsnzKsDvlJKYay6uVtr/Wenh5yXXr4eY2ys5/h15tXuuUCD+ZHpbWCxUirOvCK+2DzmVVzY3hHDVW1WxjLd/wCe1Vq/4qHqD4kL2zxKKRVuPmccMB9j3NfruKrNWutrtNZZWuts4HaM1/tOz7TixLjwdY5TSoWaz5mI8To7byc7eFZfyDjORY4FGB9ptgH55m0pxgWq94B95td4s7wCHsEYu90OzHJ6rhuA/eZtpdVt80B7PwKqgCMYPYdzrG6fO9sMXAt0Oj1HPjDd6va5uc2LzOfYan5dZXXbPPG37fScK/Dii7YufJ3nmd9vNb/eONQ6SaatEEL4Ca8e0hFCCOE6EvCFEMJPSMAXQgg/IQFfCCH8hAR8IYTwExLwhRDCT0jAF0IIPyEBXwgh/MT/B6ypu+Qc52mFAAAAAElFTkSuQmCC\n", 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\n", 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" ] @@ -484,7 +480,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.7" + "version": "3.7.2" } }, "nbformat": 4,