150 lines
No EOL
16 KiB
Text
150 lines
No EOL
16 KiB
Text
{
|
|
"metadata": {
|
|
"name": ""
|
|
},
|
|
"nbformat": 3,
|
|
"nbformat_minor": 0,
|
|
"worksheets": [
|
|
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "heading",
|
|
"level": 1,
|
|
"metadata": {},
|
|
"source": [
|
|
"nbconvert latex test"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"**Lorem ipsum** dolor sit amet, consectetur adipiscing elit. Nunc luctus bibendum felis dictum sodales. Ut suscipit, orci ut interdum imperdiet, purus ligula mollis *justo*, non malesuada nisl augue eget lorem. Donec bibendum, erat sit amet porttitor aliquam, urna lorem ornare libero, in vehicula diam diam ut ante. Nam non urna rhoncus, accumsan elit sit amet, mollis tellus. Vestibulum nec tellus metus. Vestibulum tempor, ligula et vehicula rhoncus, sapien turpis faucibus lorem, id dapibus turpis mauris ac orci. Sed volutpat vestibulum venenatis."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "heading",
|
|
"level": 2,
|
|
"metadata": {},
|
|
"source": [
|
|
"Printed Using Python"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"collapsed": false,
|
|
"input": [
|
|
"print(\"hello\")"
|
|
],
|
|
"language": "python",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"output_type": "stream",
|
|
"stream": "stdout",
|
|
"text": [
|
|
"hello\n"
|
|
]
|
|
}
|
|
],
|
|
"prompt_number": 1
|
|
},
|
|
{
|
|
"cell_type": "heading",
|
|
"level": 2,
|
|
"metadata": {},
|
|
"source": [
|
|
"Pyout"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"collapsed": false,
|
|
"input": [
|
|
"from IPython.display import HTML\n",
|
|
"HTML(\"\"\"\n",
|
|
"<script>\n",
|
|
"console.log(\"hello\");\n",
|
|
"</script>\n",
|
|
"<b>HTML</b>\n",
|
|
"\"\"\")"
|
|
],
|
|
"language": "python",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"html": [
|
|
"\n",
|
|
"<script>\n",
|
|
"console.log(\"hello\");\n",
|
|
"</script>\n",
|
|
"<b>HTML</b>\n"
|
|
],
|
|
"metadata": {},
|
|
"output_type": "pyout",
|
|
"prompt_number": 3,
|
|
"text": [
|
|
"<IPython.core.display.HTML at 0x1112757d0>"
|
|
]
|
|
}
|
|
],
|
|
"prompt_number": 3
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"collapsed": false,
|
|
"input": [
|
|
"%%javascript\n",
|
|
"console.log(\"hi\");"
|
|
],
|
|
"language": "python",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"javascript": [
|
|
"console.log(\"hi\");"
|
|
],
|
|
"metadata": {},
|
|
"output_type": "display_data",
|
|
"text": [
|
|
"<IPython.core.display.Javascript at 0x1112b4b50>"
|
|
]
|
|
}
|
|
],
|
|
"prompt_number": 7
|
|
},
|
|
{
|
|
"cell_type": "heading",
|
|
"level": 3,
|
|
"metadata": {},
|
|
"source": [
|
|
"Image"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"collapsed": false,
|
|
"input": [
|
|
"from IPython.display import Image\n",
|
|
"Image(\"http://ipython.org/_static/IPy_header.png\")"
|
|
],
|
|
"language": "python",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"metadata": {},
|
|
"output_type": "pyout",
|
|
"png": "iVBORw0KGgoAAAANSUhEUgAAAggAAABDCAYAAAD5/P3lAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAH3AAAB9wBYvxo6AAAABl0RVh0U29mdHdhcmUAd3d3Lmlua3NjYXBlLm9yZ5vuPBoAACAASURB\nVHic7Z15uBxF1bjfugkJhCWBsCSAJGACNg4QCI3RT1lEAVE+UEBNOmwCDcjHT1wQgU+WD3dFxA1o\nCAikAZFFVlnCjizpsCUjHQjBIAkQlpCFJGS79fvjdGf69vTsc2fuza33eeaZmeqq6jM9vZw6dc4p\nBUwC+tE+fqW1fqmRDpRSHjCggS40sBxYDCxKvL8KzNBaL21EPoPB0DPIWVY/4NlE0ffzYfhgu+Qx\nGHoy/YFjaK+CcB3QkIIAHAWs3wRZsuhUSs0CXgQeBm7UWi/spn0Z+jA5yxpEfYruqnwYllRic5a1\nMaWv8U5gaT4M19Sx396IAnZLfB/SLkEMhp5O/3YL0AvoAHaKXl8HLlZK3QZcpbWe0lbJDOsaHuDU\n0e4u4JAy2wPk/C1JzrKWArOQ0fUtwH35MOysQxaDwbCO0NFuAXoh6wPjgQeUUvcqpUa0WyCDoQls\nCIwBjgfuAV7KWdY+7RWpmJxlXZezrEdylvXxdstiMKzrGAtCYxwI/EspdZbW+g/tFsbQ67kQuBHY\nFNgseh9FV6vCbUAeWBC9PgBeq2EfS6J2MQOBrRDTe5KdgAdzlvW1fBjeUUP/3UbOsoYBE6OvG7VT\nFoOhL9Af+BUwFLkZpV+DaY6V4UPkRpb1+ncT+m8nGwK/V0oN01qf025hDL2XfBi+DLycLMtZVo6u\nCsKfGnSq8/NheEpqHwOBEcDBwJnAsGhTP2ByzrJG5cPwnQb22Sy+0G4BDIa+RH+t9dmlNiqlFKIk\nJJWGi+jq5JPmq8BbJJQArfXqpkncczlbKbVQa/3rdgtiMNRCPgxXAK8Ar+Qs63LgXmDvaPPGwPeA\nH7VJvCRfbLcABkNfouwUg9ZaAwuj178BlFLvVejzgR4WFviM1npcuQpKqf6IyXIjxLS7GzAWuUnu\nXsO+fqWUellr3ZBJdq/jr9+BDn1uve07O9Rz0y6f8PtGZGgWe53oT6SBkZ/q1/nHZy47aloTRTKU\nIR+Gy3OWNR6Zxtg0Kv4KRkEwGPocxgcBiCwcsSI0F5iOhF+ilPok8C3gVGS+thK/VErdrbWuO2ys\ns/+aLZTuOKbe9krrIUCPUBB0B+PQ1P1bdKe6EzAKQgvJh+GbOct6gkJkxM45y+qXDIWMHBhjBWJe\nPgyDWvaRs6zPIVObAG/nw/DpEvUGAp8E9gGGJzbtl7Os7cvs4skqp0V0Yl8jgcOBjyMDhbmIZeWl\nfBg+UUVfReQsayhwELAnsAXi6/E28BxwTz4MP6iyn92RaSCA+/NhuCwqXx9R4MYhU0MfRTK/AjyW\nD8MFGd0ZDFVhFIQKaK3/BXxfKXUlklTq0xWafAI4Driyu2UzGLqRlygoCArYHJif2H4gcFb0+Z2c\nZW2bD8NV1XScs6yNgH8g/jsAPwCeTmzfFPgjYsnbiez71MUVdnMQcF8V4nyUs6whwB8QX4+0s2Ys\n0yPAt/NhGFbRZ/wbzgO+DaxXotqqnGX9GbigCkXhf5CBCsDngYdzljURGQhsWqLN+znL+iFwdT4M\ndYk6BkNJTJhjlWitQ2Bf4P4qqv848t8wGHor6Yd9+ruHJFkC2BI4rIa+D6egHKwmstYlGAxMQCwH\nrRjEPI5ER5S7ZvcFXsxZ1phKneUsawSi8HyH0soB0bbvAM9Ebaplt5xlnYkct1LKAYiFZhJwSQ19\nGwxrMRaEGtBar1RKfRX4JxIzXortou3PN1mE+YgJsSwaeoLHOQCqUy3QSr9eqZ6G/gq2aYVMhqrY\nOfF5FeJwvJZ8GM7JWdY/gC9HRS7wtyr7Pjrx+e6MqYC3KLbU7Qhck/h+FJIKvRRVjfSREXicU8EH\npgAvIIqLBZwGfC7avl5Uf29KkLOsTZCMq8npj9sQx89no37HIlaAODplNPBIzrJ2z4dhNVlaT0HC\nXwFmIkrAC4if2PaIz8/3KCgn385Z1pX5MJxeRd8Gw1qMglAjWutlSqnTgUcqVP0SzVYQtP5mcMXE\nSvvtUUy9YsK5QEWHy7EnTB6lOtSsFohkqEDOsgYAdqJoagkT9Z8pKAj75yzr4/kwnF2h748ho/GY\nq9J1oqiKLj4JOctKK8Yz8mH4Yrl9VcnHkXVYTsyHoZ8WJWdZNyPThbF5/3M5yzowH4alpi9+T0E5\nWA18Nx+Gf0zVeRG4KmdZ90R9bwCMRKwyX69C5h2j91uA4/JhuCSxbTYwJWdZtwNPIFbifsAFSISZ\nwVA1ZoqhDrTWjyIjjXIc3ApZDIZu4ELgY4nvt5Wody8wJ/qsgBOr6HsihfvOfCRrY7v5dYZyAECk\nGP0ISEZmZYZ55yxrB8SyEXNxhnKQ7Pt64H8TRUfmLGuXKmWeC4xPKQfJvp9CLCJlZTYYymEUhPq5\ntcL2XVsihcHQJHKWtU3Osi5GnAZj5iKWgiKitRouTxQdl7OscnPu0HV64dp8GLY7R8pyxEGxJPkw\nfBcZ9ceUSvN8IoV76upK/UZcgawcG3NKqYopfleFU+gDic/b5SzLWIwNNWFOmPqp5CG9sVJqPa11\nVZ7dBkOL2D1nWcmcBkOR8MFtgM/QdTXJZcCR+TBcXqa/SYj5egAFZ8VMX4ScZe2FRPnEXF2z9M3n\n3nwYVsrtAmK6/0z0uVR4ZXLtivvzYfhGpU7zYbgkZ1k3ACdHRQdWIQsUO3ZmkUzB3Q/xjaolLbeh\nj2MUhDrRWr+mlFpJ+eV5hyIxz4YWs98Fj/Rf8uZbozo0/ZYt7D8rf9ORK9stUw/hU9GrEnMAp1R+\ngph8GL4bzdNPiIpOorSzYtJ68FS1IYPdTLWp3hcnPm+Q3pizrA7E+TCmFn+aZN0dcpY1LB+G5e4b\ny6rM8bA49X39GmQyGMwUQ4NUGnkMrbDd0A3sdeLk4z6cN+89pTtDTWd+gyErF+7pTv5eu+XqJbyK\nTDHsmg/DJ6tsc2ni8+dzljUqXSGaevhmoqjIObFNVBzlV8kQug4W5tbQNl13WGatAv+poW+DoW6M\nBaExPgC2LrO9nHWhpSilDqI4NPMhrfXUJvS9M/DfqeJXtdY3N9p3rex50uQ9lFKT6BrTvoFCXbTX\nyZNfmnrZxHtbLVMP4xng74nvK5DzeD7wfIWRayb5MHwiZ1kzgF0oOCuemar2ZQoK8zLgr7Xup5t4\ns0n9DEl9b0RBSPeV5q0a+jYY6sYoCI1RacnZ91siRXUMAH6eKnsYicdulDOAY1NlpzWh35pRqG9R\nIuGN7uw4AfG878s8nw/DX3RDv5dScGY8NmdZP86HYXJaJzm9cHMp7/s2UHdK9BTpKaxBNbRN163k\nt9Rux05DH8FMMTTGZhW2v9sSKarjbopNk/sqpUY30qlSahCSGS/JCuD6RvqtF6UpMm/HaHTJbYaG\nmQzED/0umRVzlrUZhXwJ0HOmF5pJOlXyxzJrZbNt6rtZP8HQIzAKQp0opTZAlsItxTKtdTnv75YS\nLR7lpYqrjV0vx2EUH4fbtdZtucnpMqOrDjPy6jYii8DkRFHSYnAEhem22cBjrZKrVeTDcCldTf/p\nh345ksrEGprnF2EwNIRREOrnMxW2z2uJFLVxJcXmy2OVUo34ShydUda+EaIq7T2u0SZTY/eSdFY8\nMGdZm0efk86J6/LCQUnFp5pIkZjkcvQz8mH4YZPkMRgawigI9VNp7v7BlkhRA1rr+RQneNqC2hba\nWYtSajiS9z3JXLomaGktq/VllLIUdKqSWe0MjZMPwxlIel8Q/6Zv5CxrGIX8AJ10XU+hFtIRQ+UW\nKWoXyYyTu+Qsa79KDXKWNRpJyx5zZ9OlMhjqxCgIdaCU6g98o0K1npBCNotLM8rcOvuagCRgSXKN\n1rozq3IrCCZNfFkrfRjotWsCaJinUBODK51/tkuuPkTy/DoYOIDCfeb+fBjW4t2/lqhdcmRdbUri\nVnILXS2HZ1WRvfAcCk61K4A/dYdgBkM9GAWhPr5F6XSrIBf6Qy2SpSaidSReShV/XilV7veUIj29\noOkB2fGmXT7x7sCbOGpFf7VZx4A1m0/znG2nehMyc+0bms7NFJxzxwH7J7Y1OvWUPG9/mLOsLRvs\nr6lEaaOT0TtfBB5ITLWsJWdZg3KWdRNwTKL4wnwYzu9mMQ2GqjFhjjWilBqBpJYtx51a66UV6rST\nS+maJz52VvxRdvVilFK7UbzexGNa67Kr+bWS6X+ekPYs79HkLGt34JOI+Xyz6D2d1vfMnGUdini6\nL0C851/Oh2HD+SyaQT4MV+YsaxJyLm1Gwf9gAXBHg93/JNHHtsArOcuajCztPBDYCkkytBXg5sOw\n5QmF8mF4W86yLgK+HxXtC8zKWVaALMm8CslHsicS7RFzL8VhyAZDWzEKQg0opbYE7qd8prPVdF2h\nrSdyLfALYMNE2XFKqR/XsHbEURll62L4Wiv5PuBUqPPF6JXkLuCQbpGoPi4HfohYKGMHWD9axrlu\n8mF4Z7RuwfioaDBwaonqRemQW0U+DH+Qs6xFwHnIFNwQsv+3mMnA8dHiVwZDj8FMMVSJUuow4DkK\na7GX4gqt9cstEKlutNaL6boULMho5tBq2iul+lH8IFuCmJcNfZx8GM6hOCFVU5THfBhOQHxfylkH\n3gY+asb+6iUfhhcCewC3l5BlFbJk/P75MDwqlVTKYOgRKK1rizhSSk2h67ximo1abV5XSi2n9EIk\nz2itx5XYVqnfQcjI7DiqW2XtfeCTUbRA3ex50nWfUrqjeJEcrfcLrpj4SCN9xyilxgDPp4of0Fof\nUEXbg4B/pIqv1FrXnVNh7AmTR3V0qIwwRH1E4E28pd5+De0hZ1m/Bb4bfX0+H4Z7dMM+hgGjkDwC\nS5FpjFk9bR4/Z1mDkGmF4VHR20g4Y3oxJYOhR9EXphg6lFLlVjFbH0mZvDGwCTAayCFe0ntTOZ1y\nzDLgkEaVg1ahtX5BKfUU8OlE8ReUUjtorSstCduzch8YehSR5/6ERFG3nBvRuhE9frXUfBguA6pd\n+Mpg6DH0BQXBBro7o+Ea4Bta66e6eT/N5lK6KggKOAE4u1QDpdTGFOdNmNkLf7uh+zgYcRQEMa+3\nJe22wWBoDOOD0DhLgYla67vaLUgd3ETxglLHRXkeSnEExQ5gbQ9tNPQokis5TsqHoVlbwGDohRgF\noTECYHet9Y3tFqQetNYrKDb/DqN46eYk6emF1UhUhMFAzrImUEhDvgr4VRvFMRgMDWAUhPpYAvwf\n8Bmte31+/8uQBEdJMjMrKqW2o5A2N+YfWusePw9s6F5yltWRs6zxwKRE8RXtyEVgMBiaQ1/wQWgm\neWTe/jqtdU9Zz74htNavKaXuAw5KFB+glBqptZ6Tqj6RQlrYGDO90AfJWdY5wNeQFQwHIAmetk5U\neZFCsiCDwdALMQpCed5AphEC4NF12BHvUroqCAoJ7TwvVS+d++BdJEmPoe+xKRLnn0UeODwfhm3N\nRWAwGBqjLygIbwN/LbNdI1MGH6ReL/eWkMUmcDeSeGa7RNlRSqnzdZQoQym1C7Bzqt11NWReNKxb\nzEMU6GHAesBiYCaSLOviaF0Cg8HQi+kLCsLrWuvT2y1ET0ZrvUYp5SG57mO2Bz4LPB59/2ZRQ5P7\noM+SD8OLgYvbLYfBYOg+jJOiIeZKxOs8STJiIb28daC1/lf3imQwGAyGdmEUBAMA0XTKraniI5VS\nA6O0zOnloI31wGAwGNZhjIJgSHJp6vtgJBNlehW65cANLZHIYDAYDG3BKAiGtWitHwVeShV/muLF\nuW7VWi9qjVQGg8FgaAd9wUnRUBuXAn9IfN8f+FyqTo/OfbDnSX8brDpXnqEUe2ropzQvdtDx66ev\nGN9XolIMPQDb9T8LrBd4zsPtlsXQe7Bd/0BgQeA5QbtlMQqCIc21wC+ADaPv6WWu5wAPtVKgWtjt\n6Os2XG/9jhdQjIzTQ2rFF9bQecy4E2/I9UQlwXb9LYDDK1R7K/Cc21shj6FxbNcfDjwGKNv1Rwae\n83q7ZWo2tusPBb6ELGW9BbAICX99Gngs8Jx0hlZDBWzXHwvcC6ywXX9o4DlL2ymPURAMXdBaL1ZK\n+ZRItwz8Jc6N0BMZMFB9GxiZsWnzTjrPAH7QWomqYgTF/h9pngC6RUGwXf+XwC2B50ztjv57M7br\nXwJMCjxneo1NP0SWgAfJq7LOYLv+esAFwOkUL9wWM912/d0Dz+lsnWQ9A9v1BwEXAT8PPKfWVOML\nkPVt3kNWQm0rxgfBkEWph5UG/tJCOWqnQ40ttUkrvWcrRamWwHOmAZsguSfGAi9Hmy5AUhgPAz7f\nHfu2XX8k8ENgx+7ovzdju/4uwP9D/peaCDxnCbANsF3gOYubLVu7sF1/AHAHcBaiHDwI/C+ywNsE\n4KfA68BdfVE5iNgbOBmxqtRE4Dn/BoYDnwg8Z02zBasVY0EwFKG1fkEp9RTioJjkIa11zzaVarYq\nvVFt2TpBaiN6oCwB5tiu/2FUPCvwnLTTaLM5oJv77800dGwCz1kXHXkvRNKydwI/Cjzn1+kKtuuf\ni2TX7Ks0et681yxBGsUoCIZSBBQrCL0h98EbdW7rddiuPwoYFJu/bdffFNgL2BZ4DZgWKR5ZbRWS\n2+KIqGiE7fpjUtXmlrtZRdaHscBAYDowM/CckimWbdffFfgw8JzXou/9kfUccojV5MXAcz4s0XYw\nsCsymu8PzAVmBJ7zVqn9pdoPRVKF7wSsAN4EgqzRve36HcAoZDEqgO0zjs3rged8kGo3gOJ05ADT\ns0bTkan+k9HXGaVGjNFxykVf81nH2Hb9Ich/MRJJeT291H9fL7brj6CwANfPspQDgOi3rijRx/rI\nb8kB7wPPBZ4zL6Ne/JvfCDzn/WhufhvgvsBzVkR1dgN2AR4JPGduom38P7wXeM7c6FzfCfgU4iMR\nlFLebNfPIefXzMBzikz8tusPQyx676bljmTeCfhyVLST7frp//TV9Dluu/6GwOhUvTWB58zIkjFq\nsykyNfmfwHMW2K7fLzoWeyDTFPnAc14t1T7qYwNgT+Rc/wi5ZyT/N20UBEMRSqn+wNdTxQspTqTU\n41BaP6yVOipzGzzSYnG6m6uBz0YPv7OQm3dytc35tuuflHZutF3/BuArwEaJ4p/QNdU2wGnAH9M7\njRSTG5CbS5LQdv2joymTLKYBzwHjbNc/DomW2TCxfbXt+sMCz3k/sa8RwM+Qh/X6qf5W2q4/CTit\nzMN1OPB7CopQktW2658YeM5fEvXvRKZzBiXqZaWUPha4JlW2NfB8Rt0hiANfmjWIuf5jiLPfvVm/\nAfmvbgNmB54zKrkheuD+Bjg11Wap7fpnBJ5TybelFk4E+iE+Fb+ptbHt+scg//nGqfJbgeMDz1mY\nKN4UOZYX2q7fSWHhuNdt198ZOBc4MypbbLv+5wPPeTb6PiJqe5ft+ichx3WXRN8rbdc/OfCcrGis\nR4ChiHKSlSn2f4BzkOvitMRvCKJ9DEzU9TPafwGZlkkyBvExSrKUrtdnmoOBycA5tus/iCyat3li\nu7Zd/0rk2ihS1mzXPwT4E3LulaLTKAiGLL6EaMlJbtBat91pphIjFw289t9DVh4N7Jva9EKnWnpJ\nG0RqBXcjCa08YCqy/PJE4L8A33b9HQPPeTNR/0bgvujzGchoywPSq5U+nd6R7fp7IDfRjYDrEE99\nDeyHrPb5lO364xI36zTb2q4/AUnt/SSyLHQHMvJZklQOIhYChyCLid2FWBoGIQrDfwGnAP8Gskzd\nVvSbBgPvIMdpJjLHuxdikXgg1ewa4Jbo84+BHRAFI/3gT9/QQZa+/iIy9zwccVQrSeA5nbbrX4s8\ncI6htIIQK7xdFJLIAvEEYjmYBlyP/E4LeXj92Xb94YHnnFtOjhrYJ3q/vtbpE9v1fwqcjYxUL0GO\n51bI//g1YIzt+mNTSgJIivfNEIXgBOThfx0ySv8Nct7vgzgfj0+1HQf8E5iPKM/vI+vLHA9cZbs+\nJZSEevgDBZ++3yIKzgVI1FeSrCnD6ci0zebAJxCfjmoZjxzXPPBL5By0gW8jCt3sqHwtkYL1N0RB\n/R2ymOG2yHE5CLFAHAu8ahQEQxbfyijrDdML3HTTkWvUBRfsb88bPb6TzjEK+oHKL184YHL+Jmdl\nu+XrJsYBhwaec0dcYLu+hzw0dkcu/AvjbUmLgu36DqIgPB54zuQq9nURMgI8LjnyBibZrj8z2s/l\ntuvvVcJJbWvkXDoi8JzbKu0s8JxFtut/IqXgAPzOdv0/IiPnb5KhICAjpMGIEjAhPV1iu35HWsbA\nc25ObD8ZURAeqibENBqpTYnark8FBSHiakRBOMx2/cHpB29kSv4KooSlLRYnIcrBHcBXk7/Fdv0b\ngReAM23Xvz7wnJlVyFIJK3qfXUsj2/U/jiiiq4B9ktEytuv/Fhlpfx2xEnw31XxHYLfAc6bbrv8k\ncny/Bnwz8Jy/2q6/DTLd9F8Zu94ceXAeEHhOvM7MNbbrT0UU4vNs15+c2FY3gedcm/hNP0EUhDvL\nKMrJtkuIFPboWNWiIOSAO4HDE7/Dj67FSxEn21+m2pyOWDpuCDxn7fG2Xf8e4F1EIVsceE5oohgM\nXVBKjURuSEke11qXMhv3OPR553VO9Sb407yJZwTexO8FnnNV/qYj11XlAOCfSeUA1s4D/y36mp7f\nrAvb9fdGLDMzU8pBzMXIg2wsMhLKQiFhgxWVg5gM5SDm+uh9VHqD7fr7IlaNFcAJWb4UPcHLPvCc\n2YgVZn3gyIwq30AsQg8lQ+aiefUfR1/PzlB08sD9Udusfmsi2t+Q6GutjspnIE6L16dDaSN/irMR\np8dTbddPOxK/nwgxTZr8747e30SsEkNL7PvXGQrAVYgvwggK/gK9mXMyfuON0fvWkY9Dkp2i97uT\nhYHnLKNgURsDxknRUMz5FJ8XP22DHIbqSc9pxsSOW8ObtJ89ovdXbNcvpQC8j4zcdiTbnAoy4q2b\n6Ia3CYV5/Y0zqsXOf4/WEYveaq5GQuOOQaZekhydqJNkW2BLZF2UzhL/R+xE2XAIa+A52nb9lUho\nY63hd7GD5d1ZGwPPmW27/iuIUrkLXc/n9xP13rZd/yNgVezoF8n1NjAyyyKETGGl97fGdv1/IlaL\n3h7e+06WM2PgOQtt11+GTMcNo6vVJ1aWsyK+4nvFQjAKgiGBUmoshfnOmGe11vdl1Tf0GOaUKI9v\nlqrE9lqJb6b/Hb3KsU2Zba/VslPb9bdDfA0ORLz0N62iWWxVqMkc3iZuRuawP2u7/g6JKI9RSCTR\nYoodhOP/YgNKK2Ix2zZJzjnINMN2NbaL/4uiaIUE/0EUhB3pqiCkMwl2IscjXZZFJ/B2iW1xRtWR\nZWTqDcwps63U9f8Q0TSN7fp/iK0PtuvviPjmrCHyR1qrICilNkTmHjZDLsDke/JzOtwnzY1KqXcR\nR4cFiBab9XlRT87I19dQSo1GNPz0tJOxHvR8mhrOVobB0XuAOBiWo1zmwaqdXW3X3x+4BzGVv4SM\npN9AnPEg21McxMIArTs2dRN4zoe26/8NOA6xGJwfbYqV9b8GnrM81Sz+Lz5A0qOXo2y4Ww3MoT4F\nIY4+KTfNF58TaXN4VthstVNDitLKcdxvOjKmEj0tv0M953fs87E3Eul0B2JliBflOzfwnFcA+iul\n5iEmwQFNEBaK569L0amUWggcqrXO8gg2FKHG2CdW4Uem9XvBlUflu7RUaiByU3lPa92ZKN8cSav8\nfUQBTHKr1rrqueIsxp18/eg1azrLjSYB6NfRsY3G6Is9nDjDYxh4zundvbMotvtm5N50duA5P09t\nT0faJIkfirU+zNrF1YiC4FBQECZE73/JqB//F+u14r+ImIVEOB1iu/6ZNfhwzEamp7YuU2e7RN1m\noZBnW5YVIfZ1qNWfotw51yuIph++hET0bAkcikwpTAEuCjxnSly3PzIP0a8NcnYgD6SBlSoaIhQX\nV2UtVup24LBU6S7IyG+NUuodZP52awojrTSvIjeshlij9XdQKh2jXYRRDtpGfOCruQfEpmzbdn0V\ndP9iPLsgjnEryI67Lzd/PCt6/5Tt+v3LJXAqQ/z7ut2ZO/Ccx23XfxUYZbt+7D8xCngl8Jwsa80s\nZBS8ke36O7cg4ybA5UgegJ0QE/XN5auvZRaiIMQRF12wXX8TCv9ls6eERpOtIMR+EXNS5YsRh8dS\nTo/V+CzUck21i6uR5++4wHNeKFXJRDH0PfoR5fqmtHKwDDhCa73O5JA3lCSeF04v6Z3FPRTMzBO7\nS6AE8Q12PbomgYn5Xpm29yMPhu2RUK96iKMn9q6zfa38JXo/NHoly7oQeM5K4Iro60+jKINuJVJC\nYu/439uuX805A4VkWyfbrp+V/MdFnOmeCmpfFKsSRYMc2/U/DeyG3OfSjpOx5WmfVHmcuXFcFfus\n5ZpqObbrb45EtswqpxyAcVI0FDMbOFxrXeT9a+heopvnEArzolvashT0wmbEapdgGpIU5XDb9R9F\nYqrXQyyL8wPPeTeuGHjOMtv1T0VuqldH6W//jigNmyHOcAcBgwPPcZog20xkRLcJ8DPb9S9CRqM7\nI7kDvoDE1hfdxwLPWWy7/plI7oCLbNffHXm4zUQeRtsjGRP/EXhOKSfcABkpj49i5+9G/putgHmB\n5yxIN4iSF21C14V6Rtiu/yYSW15uHv4a4P8oKAedlPcvOAv4KmItfCTKKfAS8v8NR1ILHwnsl5GA\nqF7ORdYaGA48HGWyfBqYgViDRwCfQR72PkDgOU9E2TvHI4m0TgeeRczb30DyH2iKcyA0ymrgWNv1\nFyDK1NvIQ3tStN3LCH+9HUl29UPb9echFo8BUbtLEKfJtJ9EmgA59ifbrj8bCR3cGDlvZqdTLcPa\n9NCbUMhs2GFLKvPFSAKxZl7/CxEL8pgoA+QMxD+kE3HenAHcHnjOGmNB6Dt8iGjHWSFKK4HHkcQr\nOxvloLXYrr+77fqrEIejNyiE6P0WccZbabv+lFLtG+Ry5AY/BHkYfRDtR9M79QAAA3FJREFUcwYS\nNdCFwHPuQR6a7wHfAR5GMhk+i9xcT6G6KIOKBJ6zFBn9r0GUmBlIWN9ziHf/5yjO/phsfy2yqt4i\nxOJxF3INTI9k/Q7ZoV4xv0PC5LZCci4sQm6g08kYHdquvxy5lt4DwsSmF5EENCts1//Idv3M9LbR\negJTkEx4NvBA1joFifqLIjkeR6wcfwdeQfIFTEEcjHNU79RXkShvw95Ixs5+yOj/KuSh+ATiAHcq\nxb4fxwOXRfJMQc6zlxGF6B3g4MBznmmWnBFzEUfP0xDFcCGiAG+JHKushESXIdanjRBF4l3EInAj\n8vuOqWK/5yNRGaOQFNkfIhkOX6CQgwAA2/W3jkI3V0T7ejjatAFyXb2PXP/LbVnroWGi6bbzo697\nIlaWk5Br93wkk+jztusP7o94Lna7eaoMZU0cVXIAped7eqGZfP2ZqmPFl+ptrVf3n19UpvVMYLRS\nagBywxuEjLwWAe9qrTMXV2mUzs7OP/Xrp+6qt33Hmn5Zue3XNeZTOVoky5nqKiQkrNT883Qk3WvJ\nsMLAc1bbrv9Z5AH6KWRkOB+5wRWlWo7a3Ga7/mOIomAho/GFyI30YeDREru7ELlOq07TG3jONbbr\nT0Nu9KOQm+i/gFsDz3nTdv2fI2FbpdpfHnlpH4LcnHdAlIz5yLErqXgFnvOR7fo28lDYE7lu3kKO\nTdZ9K52xrhTl7knnUVB6SqVeTsr4apQU6lDEbG4hCsFbROsRBE1ebjrwnNB2/XGIGf5gRBkYhPyv\n7yDpjR9MtVkOnGK7/vWIgrFrVPcF4O8ZKbaXIuduWkH6KfL/JbkEsWClfWK2CDzHt10/jzhXjkGO\nyzNIZEiRD00ga3ocaLv+kUh2xo8hSuVURKmIUyiXVGYCWVzKQlJD7xrJNg85b9LX8RLgF6X6SpFU\n9Cpe28gaJgORqEEAbNffDLlvHIQoAndR8NEYilwjExD/nwuUiTQ0GAwGw7qC7fqjEUvKqsBzmhWd\nt05gu/5pyNoifw48J9N5PForxQeeNFMMBoPBYDD0DWL/llvK1In9jt4zCoLBYDAYDH2DePo5MwrJ\ndv0hFPwTnjBRDAaDwWAw9A3+hPgOHRPl25iK+FhsiuR4OARx0Lwf+J1REAwGg8Fg6AMEnvNklL78\nHMRRca/E5hVINNIVwI2B56z6/3ExLRI31pXNAAAAAElFTkSuQmCC\n",
|
|
"prompt_number": 6,
|
|
"text": [
|
|
"<IPython.core.display.Image at 0x111275490>"
|
|
]
|
|
}
|
|
],
|
|
"prompt_number": 6
|
|
}
|
|
],
|
|
"metadata": {}
|
|
}
|
|
]
|
|
} |