3769 |
kakl |
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{ |
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"metadata": { |
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"name": "" |
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}, |
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"nbformat": 3, |
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"nbformat_minor": 0, |
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"worksheets": [ |
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{ |
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"cells": [ |
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{ |
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"cell_type": "code", |
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"collapsed": false, |
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"input": [ |
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"%pylab inline\n", |
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"import glob" |
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], |
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"language": "python", |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"output_type": "stream", |
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"stream": "stdout", |
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"text": [ |
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"Populating the interactive namespace from numpy and matplotlib\n" |
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] |
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} |
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], |
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"prompt_number": 31 |
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}, |
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{ |
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"cell_type": "code", |
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"collapsed": false, |
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"input": [ |
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"list_of_files = [ './Krypton00000.txt']" |
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], |
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"language": "python", |
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"metadata": {}, |
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"outputs": [], |
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"prompt_number": 113 |
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}, |
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{ |
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"cell_type": "code", |
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"collapsed": false, |
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"input": [ |
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"datalist = [ ( pylab.loadtxt(filename,skiprows=20,comments='>'), filename ) for filename in list_of_files ]" |
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], |
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"language": "python", |
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"metadata": {}, |
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"outputs": [], |
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"prompt_number": 114 |
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}, |
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{ |
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"cell_type": "code", |
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"collapsed": false, |
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"input": [ |
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"pylab.legend()\n", |
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"pylab.title(\"Kr Bulb Spectrum\")\n", |
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"pylab.xlabel(\"[nm]\")\n", |
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"pylab.ylabel(\"Amp\")\n", |
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"\n", |
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"for data, label in datalist:\n", |
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" pylab.plot( data[:,0], data[:,1], label=label)" |
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], |
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"language": "python", |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"metadata": {}, |
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"output_type": "display_data", |
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70 |
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|
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|
71 |
"text": [ |
|
|
72 |
"<matplotlib.figure.Figure at 0x7f8b3225c490>" |
|
|
73 |
] |
|
|
74 |
} |
|
|
75 |
], |
|
|
76 |
"prompt_number": 127 |
|
|
77 |
}, |
|
|
78 |
{ |
|
|
79 |
"cell_type": "code", |
|
|
80 |
"collapsed": false, |
|
|
81 |
"input": [ |
|
|
82 |
"list_of_files=glob.glob('./Kr*.txt')\n", |
|
|
83 |
"datalist = [ ( pylab.loadtxt(filename,skiprows=20,comments='>'), filename ) for filename in list_of_files ]" |
|
|
84 |
], |
|
|
85 |
"language": "python", |
|
|
86 |
"metadata": {}, |
|
|
87 |
"outputs": [], |
|
|
88 |
"prompt_number": 102 |
|
|
89 |
}, |
|
|
90 |
{ |
|
|
91 |
"cell_type": "code", |
|
|
92 |
"collapsed": false, |
|
|
93 |
"input": [ |
|
|
94 |
"fig, ax = plt.subplots(figsize=(20,7))\n", |
|
|
95 |
"\n", |
|
|
96 |
"\n", |
|
|
97 |
"for data, label in datalist:\n", |
|
|
98 |
" ax.plot( data[:,0], data[:,1], label=label )\n", |
|
|
99 |
"\n", |
|
|
100 |
"#ax.legend(loc='upper right')\n", |
|
|
101 |
"ax.set_xlim(200, 900)\n", |
|
|
102 |
"ax.set_ylim(600, 4000)\n", |
|
|
103 |
"ax.grid()\n", |
|
|
104 |
"ax.set_xlabel('[nm]')\n", |
|
|
105 |
"ax.set_ylabel('Ampl.')\n", |
|
|
106 |
"ax.set_title('Kr Bulb Spectrum')\n", |
|
|
107 |
"ax.xaxis.set_major_locator(MultipleLocator(50))\n", |
|
|
108 |
"ax.xaxis.set_major_formatter(FormatStrFormatter('%d'))\n", |
|
|
109 |
"ax.xaxis.set_minor_locator(MultipleLocator(5))" |
|
|
110 |
], |
|
|
111 |
"language": "python", |
|
|
112 |
"metadata": {}, |
|
|
113 |
"outputs": [ |
|
|
114 |
{ |
|
|
115 |
"metadata": {}, |
|
|
116 |
"output_type": "display_data", |
|
|
117 |
"png": 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O3DkRH8x4AgAAAACkpPCMJ9ixTwNeoPAESfS7WpGfDfm5Izsb8rMhPxvyc0d2\nNuRnQ37uosmu/nDx+o+ls2Sb8RQ+l19+bly73qHwBAAAAADwHe5qF1tkCK8w4wkAAAAA4CtjxkiV\nldLSpdI//xma8VRbK02Z4vXKkk+4gPfKK9LNN4dmZiVCXZ2UmSldeqn06KOJOSfihxlPAAAAAICU\nUn/Hk8RunVhI51Y7eIfCEyTR72pFfjbk547sbMjPhvxsyM8d2dmQnw35uYt2xlNGvd9WaRNLvhlP\nYX75uXHteofCEwAAAADAdxrOeIKNV8PFAWY8AQAAAAB85ZJLpE8+kRYvlv79b2nJEmnbNum227xe\nWfIJF+2WLpVuvFH6178Sc95du6T99w/9LGfNSsw5ET/MeAIAAAAApBRa7WLLq11j/NxA4QmS6He1\nIj8b8nNHdjbkZ0N+NuTnjuxsyM+G/Ny5zngKt9qlewEjFu+9dB4uzrXrnbgXngoLC9W7d2/16tVL\n5513nrZv367NmzfrjDPOUE5OjoYNG6YtW7ZEvn7q1Knq3bu3jj32WJWUlEQeX7lypfr376+cnBxN\nmDCBljoAAAAASGGZmaE/mfEUG+k+XBzeifuMp9LSUg0aNEiSdNFFF+n000/Xq6++qu9///saN26c\nHnzwQb399tu65557tHTpUk2aNElLly7Vpk2bNHDgQK1bt06ZmZnq3bu3/v73vys3N1cXXnihRo4c\nqeHDh+/5zTDjCQAAAACSXmGhtHWr9Pzz0v/+b2jG05Yt0rRpXq8s+YSLdq+9Jk2cKC1blpjz7twp\ntWkjXXSR9NRTiTkn4sfXM57CRadt27appqZGubm5WrJkiQoKCiRJ559/vhYuXChJWrx4sUaNGqVA\nIKDs7Gz17dtXy5cvV2Vlpdq2bavc3FxJUkFBQeQ5AAAAAIDUw4yn2PLqrnb83JCQGU+PPvqoDj30\nUPXr1095eXnavHmzDjroIElS+/bt9fnnn0uSqqqq1Llz58jzOnfurOrqalVVValLly6Rx7OyslRd\nXZ2IpacN+l1tyM+G/NyRnQ352ZCfDfm5Izsb8rMhP3fWGU/pzvreS/fh4ly73tkvEScZO3asRo8e\nrbFjx2rWrFnKDDfrfqu2tjbycVOf29dz6hszZoy6d+8uSerQoYP69esX2XUVfqNxzDHHHKfKcZhf\n1pNsx2F+WU+yHYf5ZT3Jdhzml/Uk0/GaNWt8tZ5kOyY/8vPqeM2aNVF9/eefh44DgdDx+++XqrTU\nP9+P3/M/L6P3AAAgAElEQVQLH0uh41WrSrV163fHzT1/8OBSTZokDRnitt5XXw0dB4Ox+f69yi9d\nj2fMmKE1a9ZE6isWcZ/xVN+TTz6psrIyPfvss1q3bp3atWunrVu36rjjjtP777+vyZMnKzs7W+PH\nj5ckjRgxQtdcc426deumgoIClZWVSZIWLFigefPmadasWXt+M8x4AgAAAICkd+GF0jffSMXF0sqV\noRlPmzZJd9zh9cqST3in0/Ll0tVXS9/+Wt2sNm2kzZuldu3czrt9e+i5558vzZnj9hrwD9/OeNqy\nZYtefPFFSdKuXbs0f/58nXTSSRo8eLDmzp0rSZozZ47y8/MlSUOGDFFxcbHq6upUVVWlVatW6eST\nT1bPnj21detWVVRU7PUcAAAAAEDqyaj32yqtdu7C2UU74ykY9E+bHJJbXAtPkjRt2jT16NFDffv2\nVY8ePTR69GhNnz5dc+fOVU5Ojv7+97/rj3/8oyRp4MCBGjx4sPr06aP8/HzNnDlTbdu2lSQ99dRT\nKigoUK9evZSVlaXCwsJ4Lz2tfLcNEy7Iz4b83JGdDfnZkJ8N+bkjOxvysyE/d9Fk13DGU/ixdOb6\n3uvfP/SnS+Gprs7plJHn1//Ta1y73onrjKeOHTtqyZIlez2elZUV2QnVUFFRkYqKivZ6PC8vT6tX\nr475GgEAAAAA/hMe8xseLu6XAkayOeww6eabo981Zt3x5LfCE7yT0BlP8caMJwAAAABIfgUFUuvW\n0hNPSKtWSa+8In34oXT33V6vLPn89KfSL34hZWdLV1whvf56y563337SZ59JHTq4nferr6SDDpLO\nOy80qwvJzbczngAAAAAAcNFwxxPcBINuu8bY8YRYofAESfS7WpGfDfm5Izsb8rMhPxvyc0d2NuRn\nQ37umPFk4/resxSeLDOe/IZr1zsUngAAAAAAvlO/8MSMJ3fhIh4znuAVZjwBAAAAAHxl1CipUyfp\ngQektWtDM57+8x/pnnu8XlnyOf10aeJEqUsX6dJLpTVrWva8QED69FOpc2e3827dGpoPNXy4NG+e\n22vAP5jxBAAAAABIKfVnPEnsnHHl0moX/rpYtNrxcwOFJ0ii39WK/GzIzx3Z2ZCfDfnZkJ87srMh\nPxvycxdtdrTa7cky4yncahdt4SkWrXZ+wbXrHQpPAAAAAABfaThcnLvauaurc9/xxIwnxAIzngAA\nAAAAvjJypHTEEdKMGdJbb0lLlkgVFdKf/uT1ypLPaadJRUWhWU0XXii9+Wbzz/nmG6lVK+mjj6TD\nD3c775YtoTldZ58tLVjg9hrwD2Y8AQAAAABSRmM7nthj4KZ+lux4ghcoPEES/a5W5GdDfu7Izob8\nbMjPhvzckZ0N+dmQn7tos6s/XJzCk/t7z6XVLjxUPJUKT1y73qHwBAAAAADwlfq7dCRmPFlY7mrn\nl6IRkhszngAAAAAAvnLuuVJOjnT77VJ5eWjG05tvSvff7/XKks+PfhTK8ZBDQrmWlzf/nK+/ltq2\nlSorpe7d3c772WehuVI//an0/PNurwH/YMYTAAAAACBlMOMpdsJZRrNrLJY7nvi5gcITJNHvakV+\nNuTnjuxsyM+G/GzIzx3Z2ZCfDfm5s854SnfWGU9Seg8X59r1DoUnAAAAAICvNJzxFH4M0bPMeAoP\nGXc9b/0/kb6Y8QQAAAAA8JXhw6UTT5SKiqQNG0Iznl5/XXrwQa9XlnxOOUW6916pQwfprLNCeTbn\nyy+lgw8Ofe0xx7id99NPpe99TzrjDOmFF9xeA/7BjCcAAAAAQMpobMYT3IRb7RJ9Vzt2PCGMwhMk\n0e9qRX425OeO7GzIz4b8bMjPHdnZkJ8N+bmLNrv6hSeJAobre49WuxCuXe9QeAIAAAAA+ErDGU/c\n1c5dOMuMjMTueGr4WkhfzHgCAAAAAPjKOedIAwZI110nvftuaMbTsmXSI494vbLk079/KLcOHaQh\nQ6TKyuafs2WL1KmT9PbbUp8+buetqpIOO0z6yU+kl15yew34BzOeAAAAAAApgxlPsWNptWPGE2KB\nwhMk0e9qRX425OeO7GzIz4b8bMjPHdnZkJ8N+bljxpNNss14avhaXuPa9Q6FJwAAAACArzDjKXbC\nWbLjCV5hxhMAAAAAwFfOOksaNkz65S+l994LzXhaulR67DGvV5Z8/uu/pL/+VWrfXvrhD6UPP2z+\nOTU1Upcu0po10vHHu53344+lI46QTjst9PNDcmPGEwAAAAAgZTSc8RR+DNHzqtWOnxfCKDxBEv2u\nVuRnQ37uyM6G/GzIz4b83JGdDfnZkJ+7aLPLzPzuY1rtbDOeaLXj2vUShScAAAAAgK9wV7vYqavz\n5q52DV8L6YsZTwAAAAAAX/npT6XzzpPGjg3NJFq8OPTfE094vbLkk5MjLVggHXywdOKJUlVV88+p\nqpIOO0wqK5Py8tzO+8EH0pFHSgMGSK++6vYa8A9mPAEAAAAAUkZjO57YY+AmnGVGRnq32sE7FJ4g\niX5XK/KzIT93ZGdDfjbkZ0N+7sjOhvxsyM8dM55sXN979VvtWjosPBWLRly73qHwBAAAAADwHWY8\nxYblrnbseEIsMOMJAAAAAOArw4ZJo0dLF1wgffJJaL7TCy9If/mL1ytLPj17SosWhWY85eZKn33W\n/HPC85lee036wQ/czltZGTr3D38o/etfbq8B/2DGEwAAAAAgpTDjKTbCM564qx28QuEJkuh3tSI/\nG/JzR3Y25GdDfjbk547sbMjPhvzcRZNd/eHiEq12UmxmPKVzqx3XrncoPAEAAAAAfCc8XDxcdPJL\nASPZWGY8tXQYObAvzHgCAAAAAPjK0KHS+PHSz34mbdoUmvG0YIE0Z47XK0s+XbtK//63dOCBUo8e\n0hdfNP+c//xHOuooqbRUGjjQ7bzvvisdfbR06qnSsmVurwH/YMYTAAAAACCl0GoXG7TawWsUniCJ\nflcr8rMhP3dkZ0N+NuRnQ37uyM6G/GzIz53rjCda7UJc33tet9r55efGtesdCk8AAAAAAN+pP+OJ\nu9q5CxfxMjJaXkiK5Y4ngBlPAAAAAABf+clPpOuvD816qqmRliyRiotD/yE63/uetHZtaMbT974n\nbdvW/HM2bJBycqRFi6T8fLfzhl8jL08qK3N7DfgHM54AAAAAACmlfosdM57cWVrtYrGvg70hoPAE\nSfS7WpGfDfm5Izsb8rMhPxvyc0d2NuRnQ37uop3x1JLH0kmyzXjy23Bxrl3vUHgCAAAAAPhOwx1P\nfilgJJvwjCfuagevMOMJAAAAAOArQ4ZIN94YmvVUXS3961/S7NnSM894vbLk06mTtHGj1K6d1L69\ntHNn889Zt07q21dauFAaNsztvOvXS7m50gknSK+/7vYa8A9mPAEAAAAAUkp4x1O43cvld96NG9lx\nQ6sdvEbhCZLod7UiPxvyc0d2NuRnQ3425OeO7GzIz4b83LnOeLK02vXqFdotlQosM568aLVr+Fpe\n49r1DoUnAAAAAIDvxOqudtu3x2Y9yaquzpu72rHjCWHMeAIAAAAA+Mppp0lFRdKGDdLPfy4tWCDN\nmiXNnx/d6wQC0ksvhWZFpauDDpI+/jg042n//aXdu5t/zhtvSMcfH8r7nHPczvv229J//Zd03HHS\n2rVurwH/8O2Mp507dyo/P19HH320cnJydPvtt0uSHn/8cXXs2FG5ubnKzc1VXl5e5DlTp05V7969\ndeyxx6qkpCTy+MqVK9W/f3/l5ORowoQJFJgAAAAAIIUFAtKVV0bfJtbY66S78I6nls5sYrcSYinu\nrXaTJk3SO++8ozfeeENz587V2rVrFQgEdPHFF6u8vFzl5eVasWKFJGnp0qUqKSlReXm5Fi1apAkT\nJmj3t+XYwsJCzZ49WxUVFaqpqdH8aEvd2Cf6XW3Iz4b83JGdDfnZkJ8N+bkjOxvysyE/d64zniRb\n4SlVWGY8SdEV4FKx1Y5r1ztxLTy1bt1ap512WuTjo48+Wps2bZKkRncsLV68WKNGjVIgEFB2drb6\n9u2r5cuXq7KyUm3btlVubq4kqaCgQAsXLozn0gEAAAAAHqpfKLHsWkr3HU/172oXPm7Jc1r6tfF8\nDaSGhA0X37Rpk5YvX65TTz1VkjR79mz16tVLQ4cO1fr16yVJVVVV6ty5c+Q5nTt3VnV1taqqqtSl\nS5fI41lZWaqurk7U0tPCoEGDvF5CUiM/G/JzR3Y25GdDfjbk547sbMjPhvzcRZNdY8WKdG+1c33v\nNRzOHk3hqaWteS15La9x7Xpnv0ScZMeOHRo5cqRuu+02HXzwwbrgggs0evRoSVJxcbHOP/98rf12\n2lhmZuYez62trd3n4w2NGTNG3bt3lyR16NBB/fr1i7zBwlvrOOaYY4455phjjjnmmGOOOfb38Zo1\n3x0HAtJnn5WqtDT61wsE/PH9eHUcDIbyq3/c3PNDBadSvfWWdN55bucvKwsdS/7Kg+OWHc+YMUNr\n1qyJ1Fcs4n5Xu507d+rcc8/Vj3/8Y/3mN7/Z6/N1dXXq2LGjtm7dqsmTJys7O1vjx4+XJI0YMULX\nXHONunXrpoKCApWVlUmSFixYoHnz5mnWrFl7fjPc1c5ZaWlp5A2G6JGfDfm5Izsb8rMhPxvyc0d2\nNuRnQ37uosluwABpyhRp4MDQ8fPPS//zP6E/oxEISEuWhO6Sl+xc33tt2khbtkgHHCBlZko7d0r7\nNbMFZcUK6eSTpblzpVGj3Na7dq10wglS796hO9x5jWvXxrd3tdu+fbvOPvtsDRgwYI+i09KlS7Vj\nxw5J0rx58yLtd0OGDFFxcbHq6upUVVWlVatW6eSTT1bPnj21detWVVRUSJLmzJmj/Pz8eC4dAAAA\nAOChhi1y6d5q56p+q11Lh7THqtWOofCQ4txqV1ZWpldffVUffPCBHnvsMUnS8OHDdfDBB2v06NFq\n06aNjjjiCD300EOSpIEDB2rw4MHq06ePMjMzNXPmTLVt21aS9NRTT6mgoEDbtm3T0KFDVVhYGM+l\npx0qvzbkZ0N+7sjOhvxsyM+G/NyRnQ352ZCfO0t2FDDc87MUnqzDxTMy/PNz49r1TlwLT4MGDYrs\nbGrohhtuaPTxoqIiFRUV7fV4Xl6eVq9eHdP1AQAAAAD8p2Gxgrva2XhReIrmfEhtcW21Q/IIDxKD\nG/KzIT93ZGdDfjbkZ0N+7sjOhvxsyM9dtNnRarcn1/de/dxaugMpFq12De+m5zWuXe9QeAIAAAAA\n+EpjO57SvfDkqmGrXUuKSanYagfvxP2udonEXe0AAAAAIPn96EfSH/4Q+lOSSkqkGTNCf7ZUuPDx\n6quhu+Slq/p3smvbVqqpkdq12/dzXnstlP2sWdIll7idd9Uq6cc/lg4/XNqwwe014B++vasdAAAA\nAADRauz322h/5w3v7En3vQkMF4fXKDxBEv2uVuRnQ37uyM6G/GzIz4b83JGdDfnZkJ87y4wnl1a7\n3btDf6ZK4cMy48m18GSd8eSnwhPXrncoPAEAAAAAfCUWM57CRRNL8SRVeHlXOyDqwtO7776rHj16\nxGMt8NCgQYO8XkJSIz8b8nNHdjbkZ0N+NuTnjuxsyM+G/NxFm13DHU/RCu94SpXCk+W951WrnWUo\nfKxx7Xon6sLTYYcdpsceeyweawEAAAAAIKYznlKl8OTCdedYKrbawTtRF54OOOAAKoUpiH5XG/Kz\nIT93ZGdDfjbkZ0N+7sjOhvxsyM8dM55sXN571sJTLFrt/JI/16539mvqE1dffXWTTwoEArr33nvj\nsiAAAAAAQHprrGASLXY87TlYXErvVjt4p8nC04knnqhAIKDgt++SwLfv1mAwGPkYqYNdbDbkZ0N+\n7sjOhvxsyM+G/NyRnQ352ZCfO8uMJ8l9x1OqFJ5c3nsNC08tbX2LZaudX3DteqfJwtOYMWMiH9fW\n1ur9999X27ZtdfjhhydiXQAAAACANMVd7WKjsR1PLckjFVvt4J1m649z585Vjx49VFhYqP/+7//W\ncccdp9WrVydibUgg+l1tyM+G/NyRnQ352ZCfDfm5Izsb8rMhP3fWGU/RSrUdT64znmi1C+Ha9U6T\nO57CbrjhBi1fvlxdu3aVJK1cuVLjxo3TypUr4744AAAAAED6ieVd7fxS+PCKl4WnzEzyRwt2PGVl\nZUWKTpJ00kknaceOHXFdFBKPflcb8rMhP3dkZ0N+NuRnQ37uyM6G/GzIz51lxpPlrnapsuPJdcZT\nfdEWnqwznvw0Hppr1zvN7ng68sgjNWnSJJ144okKBoP6+uuvlZmZqXnz5kmSRowYEfdFAgAAAADS\nBzOeYsPrVruMjO8KgEhfze54OvDAA/XJJ5/oueee0/PPP6/Fixerf//+eu655/Tcc88lYo1IAPpd\nbcjPhvzckZ0N+dmQnw35uSM7G/KzIT93zHiySbYZT9GcLxG4dr3T7I6nxx9/PAHLAAAAAAAghBlP\nseFaeIrFbrHwjqd0zh8hzRae3nrrLd13332qqqpS8Nt3TCAQ0LPPPhv3xSFx6He1IT8b8nNHdjbk\nZ0N+NuTnjuxsyM+G/Nwx48nGdcaT1612fik8ce16p9nC07nnnqvrrrtORx11lDIyQp15AT9NCAMA\nAAAApJTGZjxFixlP3heeKB1AasGMp9atW2vcuHEaPHiwBg0apEGDBmngwIGJWBsSiH5XG/KzIT93\nZGdDfjbkZ0N+7sjOhvxsyM+dZcaTxI6nWMx4aukOpFjd1c5PO564dr3T7I6n4cOH695779WPfvSj\nPR4/4YQT4rYoAAAAAED6isVd7cKFJ78UPrzScMdTS4pJqdhqB+80W3javHmzZs2apWeeeSbSaidJ\nr7zySlwXhsSi39WG/GzIzx3Z2ZCfDfnZkJ87srMhPxvyc2ed8RStVGu1c53xVB8znuCFZgtPL730\nkt555x3tt1+zXwoAAAAAQFyke6udC69nPPmp8ATvNDvjqWfPntq8eXMi1gIP0e9qQ3425OeO7GzI\nz4b8bMjPHdnZkJ8N+bmLJrtYtNql2o6nWMx4irbwZJ3x5Kfh4ly73ml2G1NVVZVOO+00HXXUUZHH\nAoGAnn322bguDAAAAACQvlwKJvUx48nbHU/RnA+prdnC0z333CMpVGySpBUrVujpp5+O76qQcPS7\n2pCfDfm5Izsb8rMhPxvyc0d2NuRnQ37uosmusR1P0Uq1HU+uM55otQvh2vVOs4WnQYMGqaysTMXF\nxXrmmWd0wAEH6IILLkjE2gAAAAAAaaphsYkZT9HzutXOT4UneKfJGU/Lli3TxIkT1b17d40bN04H\nHHCAamtr9fbbb+u3v/1tIteIBKDf1Yb8bMjPHdnZkJ8N+dmQnzuysyE/G/Jzx4wnG9f3npc7npjx\nBGkfhacf/vCH+uijj7R48WKtXbtWt956q1q1apXItQEAAAAA0lTDgkm0Uq3w5KJh4ailO5BSsdUO\n3mmy8PTwww/r//7v/zRkyBD94he/UElJiYK8Y1IW/a425GdDfu7Izob8bMjPhvzckZ0N+dmQnzvL\njKemHmvJa6TKr7GxmvHUkkJcKrbace16p8nC09ixY/XCCy9o9erVOvnkk3Xvvffq008/1aWXXqqX\nXnopkWsEAAAAAKQZ613t2PHEcHH4Q5OFp7COHTvq0ksv1cKFC/Xxxx9r4MCBuvfeexOxNiQQ/a42\n5GdDfu7Izob8bMjPhvzckZ0N+dmQnzvrjKdoxWLXjp+4vPcoPH2Ha9c7zRae6uvYsaPGjBmj559/\nPl7rAQAAAADAfFc7djx5W3gKnw+IqvCE1EW/qw352ZCfO7KzIT8b8rMhP3dkZ0N+NuTnzjLjyaXV\njhlP9sKTdcaTy88tXrh2vUPhCQAAAADgO8x4ig1a7eA1Ck+QRL+rFfnZkJ87srMhPxvysyE/d2Rn\nQ3425OeOGU82rjOe6kvnwhPXrncoPAEAAAAAfIcZT3aJarUrL5defnnv1/BT4Qne2c/rBcAf6He1\nIT8b8nNHdjbkZ0N+NuTnjuxsyM+G/Nwx48kmkTOewgWnlmZXWCitWrXn1zc8t9e4dr3DjicAAAAA\ngO80LJhEix1Pexd/WroDKdqiXatWjb8GO54gUXjCt+h3tSE/G/JzR3Y25GdDfjbk547sbMjPhvzc\nWWY8NfVYS14jVQpPrjOeGhbwWpJHtNnt10gvld8KT1y73qHwBAAAAADwHe5qZ2ed8cSOJ8QChSdI\not/VivxsyM8d2dmQnw352ZCfO7KzIT8b8nNnnfEULWY8hXhVeIrmfInAtesdCk8AAAAAAN/hrnZ2\nrkPaoy08NdVq56fCE7xD4QmS6He1Ij8b8nNHdjbkZ0N+NuTnjuxsyM+G/NxZZjxZ7mqXKoWnWM14\niqbw1NLsmmq1y8z0T+GJa9c7FJ4AAAAAAL5jnfGUaoUnF17PeMrMTO/8EULhCZLod7UiPxvyc0d2\nNuRnQ3425OeO7GzIz4b83CV6xlOqtdq5vPcSVXhqqtUuvOPJD7ueuHa9Q+EJAAAAAOA71hlPqTZc\n3IWl8BQItLxot68ZT+GPkb7iWnjauXOn8vPzdfTRRysnJ0e33367JGnz5s0644wzlJOTo2HDhmnL\nli2R50ydOlW9e/fWscceq5KSksjjK1euVP/+/ZWTk6MJEyYoyDs3puh3tSE/G/JzR3Y25GdDfjbk\n547sbMjPhvzcWbJzabVLtR1PiZ7xlJFhb7ULBKJ7nXji2vVO3Hc8TZo0Se+8847eeOMNzZ07V2vX\nrtX111+vc889VxUVFRo+fLhuvvlmSdLSpUtVUlKi8vJyLVq0SBMmTNDu3bslSYWFhZo9e7YqKipU\nU1Oj+fPnx3vpAAAAAAAPxKLVjhlPexeeWloEinXhKZ1/Bohz4al169Y67bTTIh8fffTR2rRpk5Ys\nWaKCggJJ0vnnn6+FCxdKkhYvXqxRo0YpEAgoOztbffv21fLly1VZWam2bdsqNzdXklRQUBB5DmKD\nflcb8rMhP3dkZ0N+NuRnQ37uyM6G/GzIz1202Vlb7VJtx5Pre6/hjqeW5BHtYPB9tdr5pfDEteud\nhM142rRpk5YvX65TTjlFmzdv1kEHHSRJat++vT7//HNJUlVVlTp37hx5TufOnVVdXa2qqip16dIl\n8nhWVpaqq6sTtXQAAAAAQAI1tuOJGU/Rc80xFjuewufzS+EJ3mmkLhl7O3bs0MiRI3Xbbbepffv2\nyszM3OPztbW1kY+b+ty+nlPfmDFj1L17d0lShw4d1K9fv0hlM9zTyfHex/X7Xf2wnmQ7Jj/y8+o4\n/Jhf1pNsx+HH/LKeZDsOP+aX9STbcfgxv6wnmY7XrFmja6+91jfrSbZj8iM/r45nzJgR1e9nZWWl\n+vjj0HEgIG3fXqrS0pafr7w8dFxX54/vP9H5lZaW6oMPpEDgu+MvvpCCweafHwxKdXWl+uQTSWr+\n60OFpz1/PuvWlWrTptD56+qSM790Pp4xY4bWrFkTqa+YBONsx44dwZ/+9KfBP/zhD5HHunXrFvzq\nq6+CwWAw+MUXXwS7desWDAaDwaKiouCf//znyNcNHz48+MorrwTffffdYF5eXuTx+fPnBy+55JK9\nzpWAbydlvfLKK14vIamRnw35uSM7G/KzIT8b8nNHdjbkZ0N+7qLJrmfPYHDjxu+ON24MPRaN//mf\nYFAKBq+8Mrrn+ZXLe2/dumAwJ+e749NOCwZffrn55919dzDYvn0wOHp0y87zm9+Esq7viSeCwYsu\nCgbbtQsGv/yyxUuOG65dG0u9JcNeumra9u3bdfbZZ2vAgAH6zW9+E3l88ODBmjt3riRpzpw5ys/P\nlyQNGTJExcXFqqurU1VVlVatWqWTTz5ZPXv21NatW1VRUbHXcxAb4aom3JCfDfm5Izsb8rMhPxvy\nc0d2NuRnQ37uos3OZSh2fcx4sg8Xb2l2DRqU9jh3NK8TT1y73olrq11ZWZleffVVffDBB3rsscck\nSSNGjND06dN10UUXadq0aerRo4f+8pe/SJIGDhyowYMHq0+fPsrMzNTMmTPVtm1bSdJTTz2lgoIC\nbdu2TUOHDlVhYWE8lw4AAAAA8EjD4ohL8SLaOUWpqLHCU0uHi7tkV/98fis8wTtx3fE0aNAg7dix\nQ+Xl5ZH/pk6dqqysLL344ouqqKhQSUmJDjnkkMhzioqKtH79er399ts688wzI4/n5eVp9erV2rBh\ng+677z4FXO6niSaF+znhhvxsyM8d2dmQnw352ZCfO7KzIT8b8nMXbXYuBZP66upCd1tLlaKHy3vP\nUnjKzGx54amx3WXhc7f0TnrxxrXrnbgWngAAAAAAiFZjO552747+NTIz/VH08JJlx1NLs9tX4Ykd\nT6DwBEn0u1qRnw35uSM7G/KzIT8b8nNHdjbkZ0N+7qwznlx2PKVS4cl1xlN98Wq1C39dU4UnP7Q7\ncu16h8ITAAAAAMBXGhYqXApI0baLpaKGrXYtbXuLtvDU1CB3djxBovCEb9HvakN+NuTnjuxsyM+G\n/GzIzx3Z2ZCfDfm5Y8aTTaxmPLWkmBTtbrGmWu3C5/TDz4Br1zsUngAAAAAAvhKru9qlUqudi0Td\n1W5frXZ+GS4O71B4giT6Xa3Iz4b83JGdDfnZkJ8N+bkjOxvysyE/d6k642nlSundd+N7Dsl9xpPX\nd7VjxhMoPAEAACDmeveWPvjA61UASFbWHU8zZ0q3356YwlNenjRgQHzP4covhSd2PKU3Ck+QRL+r\nFfnZkJ87srMhPxvys0n1/CoqpLfeis9rp3p28UZ+NuTnLpEznrZsCf2XqOHi1dXxP4fre8/Samed\n8eSnwhPXrncoPAEAACAuMvibJgBH1h1P4a9NxHDxjh39UVhpTMMc43VXu33NePJL4Qne4a8DkES/\nqxX52ZCfO7KzIT8b8rNJh/wyM+PzuumQXTyRnw35uUvkjKfw1yai1S47O76vHxarGU8tKSZFW3ja\n12dR+RsAACAASURBVI4nvwwX59r1DoUnAAAAxEW8Ck8AUp91x1P4+YkoPLVvH9/Xt7DOeIpVq50f\nhovDOxSeIIl+VyvysyE/d2RnQ3425GeTDvnFq/CUDtnFE/nZkJ+7RM54qr/jKd5Fj0S1Fbu89yyF\nJ2urneSvVrtkuHa//FIqLvZ6FbFH4QkAAABxwYwnAK5iteMpETOe6hd2/CZRhaemdjxFc05IM2ZI\no0Z5vYrY468DkES/qxX52ZCfO7KzIT8b8rNJh/yY8eRP5GdDfu5SdcZTogpPsZrx5EWrnR8KT8lw\n7a5a5fUK4oPCEwAAAOKCHU8AXDV2N7bGHm9KKhaeXHjZaue34eLJYOtWr1cQH/x1AJKSo9/Vz8jP\nhvzckZ0N+dmQn00q51e/vSIeUjm7RCA/G/JzZ5nxJEW3c6b+cPF0nvEk7ZljS4tAsbyrnV+Gi3Pt\neofCEwAAAGKKf9kGEA/RFJ7CX5eIGU9+3t3Z2KyslhSBwq12sSo88f8L6c3HlwgSKRn6Xf2M/GzI\nzx3Z2ZCfDfnZpHJ+33wT+jNev2ikcnaJQH425OcumuwaK3i47nhKlVa7RM94csnbz4Unrl3vUHgC\nAABATO3aFfrTD60VAJKXpdWOGU8hXt/VjhlPkCg84Vv0u9qQnw35uSM7G/KzIT+bVM4v3jueUjm7\nRCA/G/JzF0121h1P9QtP8S6CJ6rw5PLe80PhiRlPoPAEAACAmAoXnvzwiwaA5BWr4eLpPuPJtfAU\nTXaNFZ4kf7XaJQM/756z8PElgkSi39WG/GzIzx3Z2ZCfDfnZpHJ+zHjyN/KzIT93iZzxlMjh4qk8\n46ml/4AQ/rr6X1//Dqd+KDxx7XqHwhMAAIDP1NZK8+d7vQp34RlPfvhFA0DyamzH0+7dLXtuKg4X\nd1V/fS2dtxTrVjv+/yC9UXiCJPpdrcjPhvzckZ0N+dmQn82+8nvhBWn48MStJdbi3WrHe8+G/GzI\nz51XM55SpdXOdcZTfS0tJsWi1c5vw8W5dr1D4QkAAMBnWrXyegU28W61A5AeGu4kcimEpNJwcReJ\nbrXz83BxeIfCEyTR72pFfjbk547sbMjPhvxs9pVfqhSe4vWLBu89G/KzIT93iZzxFH5+ImY8JWrH\nUyJnPNXVpV6rHdeudyg8AQAA+Mz++3u9AhtmPAGIBctd7RLZahfmx1091rvapVLhKRn4efecBYUn\nSKLf1Yr8bMjPHdnZkJ8N+dnsKz92PO0b7z0b8rMhP3eJnPGUyOHijbWZxYPrjCdL4SnavP1ceOLa\n9Q6FJwAAAJ8JF578+K/nLcGMJwCxEKsdT/H+39Lw67f0jnuJ1LDw5MVd7fwyXBzeofAESfS7WpGf\nDfm5Izsb8rMhP5t95Rf+JSHcspZs4l144r1nQ3425OcukTOewl+XiBlP4dePd+HJ9b3XcMdTS+9q\nZy08hc/tl+HiyXDt0moHAACAhAj/BX3nTm/X4SrerXYA0oNlx5MXrXZ+3fFUX6Jb7aI5J1IXhSdI\not/VivxsyM8d2dmQnw352ewrv/Bf0JO18BTv4eK892zIz4b83CVyxlMih4s3tdsn1hI94ynV7mrH\ntesdCk8AAAA+k+yFp/C/+rPjCYBFrHY8MePpu+N4Fp4avjYznhBG4QmSkqPf1c/Iz4b83JGdDfnZ\nkJ/NvvIL/0W/tjYxa4m1eN/hifeeDfnZkJ87L2Y8pVKrnct7L1F3taur2/vr6+948sM/RHDteofC\nEwAAgM8k+46n8Pr98IsGgOQVix1PqTRc3EWidjwFg3tn7bdWO3iHwhMk0e9qRX425OeO7GzIz4b8\nbFJ5xlO8553w3rMhPxvyc5eqM54SteMpFjOeWtr25tJq5/fCE9eudyg8AQAA+Eyy39Uu3q12ANKD\nZcdT/cJTvHdfJmq4uKuGO55akodL4WlfrXZ+zQaJQeEJkuh3tSI/G/JzR3Y25GdDfjb7yi9VdjzF\n65c93ns25GdDfu4SOeOp/nDxVNnx5Drjqb54zXhqrNVO8tdw8WS4dhsWW1MFhScAAACfCf8FPVmH\ni/v9X/8BJIdY7HhixpP7jKdWraRvvmnZeZpqtQufk5l/6Y3CEyTR72pFfjbk547sbMjPhvxs9pVf\n+C/oyfoX9Xivn/eeDfnZkJ+7RM54SsUdT7GY8RTPwpPfW+24dr1D4QkAAMBnkn3HULKvH4A/xGrG\nU6J2PPnxf/Mshaf995d27Wr5efw+XBzeofAEScnR7+pn5GdDfu7Izob8bMjPpiUznpL1L+rMePI3\n8rMhP3fW7Pw6XNzvM568bLXzU+GJa9c7FJ4AAAB8JtnvCpfs6wfgvVi12iVixlOiCk8uGhaeWjro\nO9odT/tqtfPLcHF4h8ITJNHvakV+NuTnjuxsyM+G/Gz2lV+q7HiK1/p579mQnw35uYs2O2urXSCQ\n2Fa7ZJnx1JIdYNHueNpXq11mpj+Kcsl07SbrjMemUHgCAADwmVQpPKXaX5wBJE5TO55aWsAIBqVT\nTpF69EjvHU+S9612++3X8tdJd6m6Y5jCEyTR72pFfjbk547sbMjPhvxs9pVfsv/FM96FM957NuRn\nQ37uos2u4Y6naHYv1dVJkyeHik/xLoIn6h8LXGc81Rev4eL7KjxFU8CKp2S4dlP1H24oPAEAAPhM\nsu94Cv+FOdX+4gwgcawznurqQl+fiMHW4TYzL3c8XXml9MYbez/uOly8ri5UeIpmx1NjhUF2PEUn\n2f/hqSkUniApufpd/Yj8bMjPHdnZkJ8N+dkw48kd7z0b8rMhP3exmPEUTatdou6oVlcX2tXj5Yyn\nBx6Q5szZ+3HLXe3CO5ii/fr6j0n+KTwlw7XLjidHq1at0vHHHx85fvzxx9WxY0fl5uYqNzdXeXl5\nkc9NnTpVvXv31rHHHquSkpLI4ytXrlT//v2Vk5OjCRMmKJhqPwUAAIB6UqXwxF/ZALiK1Y6nRNxR\nzQ87nqTQ99uQ5a520bTJhVvt6mdQf8ZTS1v20h07nhxMnDhRp59++h6FokAgoIsvvljl5eUqLy/X\nihUrJElLly5VSUmJysvLtWjRIk2YMEG7v33XFhYWavbs2aqoqFBNTY3mz58fz2WnpWTod/Uz8rMh\nP3dkZ0N+NuRnk8oznuK9ft57NuRnQ37uYjHjKZodT+FWu0TMeGq42ycemsuvJYWnaO5qF03RiBlP\nsZGqrepxLTzdeeedev311/coPAWDwUZ3LC1evFijRo1SIBBQdna2+vbtq+XLl6uyslJt27ZVbm6u\nJKmgoEALFy6M57IBAAA8lSo7npJ1/QC819gv3tHsKqqrS1yrXTLteIqm1S6aolH4LnhN7XjyQ+Ep\nGaTq/3/GvdWuYZEpEAho9uzZ6tWrl4YOHar169dLkqqqqtS5c+fI13Xu3FnV1dWqqqpSly5dIo9n\nZWWpuro63stOO8nQ7+pn5GdDfu7Izob8bMjPJh1mPMXrX2x579mQnw35ubPOeMrMjG7YdaoNF28u\nv4Z5Sd/t/Apr6Zwslx1PDYeR+63wlAzXbqrueNov0Se84IILNHr0aElScXGxzj//fK1du1bS/2fv\ny8OkKq723xlghmHfXeKCO4hrFNT4qS0So4lb1CBu0ZifhhiNGmOMicZoXKLGJYboh0ZNojEofm5x\nwaDSKqKiLIooi4CyDQKzwqw9M/f3x+FQ59atu3Tf7unppt7nmWd6uV237qmqU6feOucU0K1bN9e1\nra2tgZ+bcOGFF2L48OEAgAEDBuCggw7a6lLHHc2+t+/te/u+WN4zukp9Cu09o6vUp9DeM7pKfQrt\nPcP0/cKFAJBAR0fXqW8672lfMXf1nz9/fpd63kJ7b+Vn5Zev9/Pnz498veMAb7+dRHm5+r66OolP\nPgFOPz3a7+fPT6KlBejoyO3zdXQk0KMHMG9eEmVl+ZPfV18lkUy6v//0U6C0VL1fvBhobw+/n+MA\nn32WREcH0NYWfn1HB1Bbq/Q/AKxcmURzM7Dzzgk0NBRW/8vX+9paoKvM//fddx/mz5+/lV+JgxIn\nx5m6v/zyS5x88slYsGCB57uOjg4MHDgQdXV1+N3vfoftt98el156KQDg9NNPx89//nPssssumDBh\nAmbPng0AeOGFF/Dss8/iH//4h/dhSkps4nELCwsLCwuLgscTTwDnnw889hhw4YX5rk36ePBB4NJL\ngXvvBa68Mt+1sbCwKET07AnU1tJ/xoQJwGmn0f8wHHkkcMcdwGGHARUVufW4GTGCvIL+/GfgpJNy\nd58glJQAt94K/OY37s8ffxz473/pPwA8/zzw97/T/yCceSZw1lnAVVcB778P7LRT8PW77AIccQRw\n6KHANdfQZ1deCey6K3lYrVsH/OlPGT3aNoXDDwc++ACoqQEGDMh3bdyIw7eUZrkuoXj77bfR3NwM\nAHj22Wdx+OGHAwCOO+44TJ06FR0dHaisrMTcuXMxZswY7L777qirq8PixYsBAFOmTMG4ceM6u9oW\nFhYWFhYWFp0GDgvJd76QTFHooYIWFhb5h2l9m06oXTEmFw+DKdSOQw4ZUcPeijHUrhBQ6IeL+CGn\nxNONN96IU089FcuWLcOYMWPw9ttvY9asWRg5ciRGjhyJyZMnY/LkyQCAY445BmPHjsW+++6LcePG\n4YEHHkCvXr0AAE888QQmTJiAvffeG0OGDMF5552Xy2pvk2C3OovMYOUXD1Z+mcPKLh6s/OLByi8e\nguRX6IZnrnNU2L4XD1Z+8WDllznSlV2cU+2KMbl4mPxKDav7uMRT1OTiHR3ma7sS8VQIY9fmeMoA\nN910E2666SbXZ0cffTR+/etfG6+/4YYbcMMNN3g+Hz16NObNm5eTOlpYWFhYWFhYdDUUusdQodff\nwsIi/8jGqXalpYq80k93yyaYdMm3l2ouiKeoHk9+p9rxPaOUYVG882enh9pZdE1wAjGLzGDlFw9W\nfpnDyi4erPziwcovHoLkV+iGZ67rb/tePFj5xYOVX+ZIR3Y6YQJkFmoHEIGSS33aWR5PYfLLt8eT\nX6hd1DJyjUIYu8Xq8WSJJwsLCwsLCwuLLoZCD7Xjeheb4WxhYdF5aG8nokkik1A7IPd5nrpKjqd8\nejyZQu1sjqf0UegbT36wxJMFgMKId+3KsPKLByu/zGFlFw9WfvFg5RcPQfIrdMMz18SZ7XvxYOUX\nD1Z+mSOq7FiHmDyeohJP0uMp13meCinHU1Tvo2zkeOpqxFMhjN1C33jygyWeLCwsLCwsLCy6GAqd\neLIeTxYWFnHQ3m4mUdIhMHSPp2IgnsIQ9VS7qDmb0iGNHIdC7fQcT+l4TVnYUDuLIkchxLt2ZVj5\nxYOVX+awsosHK794sPKLhyD5FfqOp83x1LVh5RcPVn6ZI6rsOjq8YXZA+qF2nZXjqbOSi+cjx1M6\noXY2x1N8FPrGkx8s8WRhYWFhYWFh0cVQ6IZnse7YWlhYdA78PJ7ihNrlUh/l2+PJLzQR6Nzk4l09\n1K4QUKzzpyWeLAAURrxrV4aVXzxY+WUOK7t4sPKLByu/eCjmHE+5rr/te/Fg5RcPVn6ZI6rs/Dye\n0iF3OjPUrrOSi/vJLyi8ubM8nhzH7PXVlYinQhi7he7x7AdLPFlYWFhYWFhYdDEUuuFZ6MSZhYVF\nfhHk8RSVwCjG5OJ+YJmYnrEzPZ5MoXZ8T5vjKRqKNUeiJZ4sABRGvGtXhpVfPFj5ZQ4ru3iw8osH\nK794CJJfoRM3uQ4VsH0vHqz84sHKL3NElV17e3ZyPLHHU7HneMol8ZROjqeuHmpXCGO30Dee/GCJ\nJwsLCwsLCwuLLoZCJ554oVOo9bewsMgvshVqt63keGJiyHT/zvJ4MoXadbXk4oUAm+PJoqhRCPGu\nXRlWfvFg5Zc5rOziwcovHqz84iFIfoW+48mLxlwZzrbvxYOVXzxY+WWOqLIrtFC7fOd4SsfjKR0i\nqbQ0e6fatbaGl5FrFMLYLfSNJz9Y4snCwsLCwsLCoouh0A1Px6EFYqHW38LCIr/w83jKNNTO5nhS\n76N6PLH80rneL9SurMzmeIoKlpn1eLIoShRCvGtXhpVfPFj5ZQ4ru3iw8osHK794KOYcT7z7b3M8\ndU1Y+cWDlV/mSCfHk8njKR1yR3o85TrHU2cRT/nI8ZSNULuysvx7PH3xRWGM3WLduLHEk4WFhYWF\nhYVFF0MxEE/FaDhbWFh0DoI8nqKG2nWmx1NnJRf3A8skFzmeshFqV1YGtLSEl5FLjBqVv/ZJB7kO\nVc8XLPFkAaAw4l27Mqz84sHKL3NY2cWDlV88WPnFQzHneMr1jq3te/Fg5RcPVn6ZIxs5ntIJtWPy\nqliSi/vJj+8b1eMpCpGUjscTy1Yntdra6Pfl5fn1eOrooPvPmJHMXyUiwno8WVhYWBQhqqvzXQML\nCwsLLwr9VDjTzreFhYVFVLS3Z/9Uu2JILh50f/lf/y7XHk/y2vZ2eu84RPaUleU/1C4oFLGroVg9\nnrrnuwIWXQOFEO/alWHlFw/5lN/gwUBjI1BRkbcqxILte/Fg5RcPVn7xEJbjqZB3PDs6aIc7V8ST\n7XvxYOUXD1Z+mSOq7LIVatdZxFO+czzxs5nur3uP8WudkNKRjscTl8Wk1o47AhMmdD3i6aijEvmr\nRERYjycLCwuLIkWxKXYLC4vCBy9iClU/mU43srCwsIiKbITayTJynVw83zmewjyedBIvitdTOh5P\nTDwxMbhuHTBrFuV1YuIpnzmeCsnjiYmnYvN4ssSTBQAbqx4XVn7xYOWXOazs4sHKLx6s/OIhSH75\nDtuIC8fJ7fHZtu/Fg5VfPFj5ZY6osgvyeLI5nrxIJ9QOiJ63KR2PJyap+FoOtSsv7zoeT2+9lcxf\nJSIi1x7PjgMsWJCbsoNgiScLC4ttFmyAFNuOgoWFReHDhtpZWFhsy/DzeIqanwjIT46nfHs8RTnV\nDqC6hhFBnGcrqncUh9pxHfQcT6lU/mzuoOTrXQ25DrV77jnggANyU3YQLPFkAcDGqseFlV885Et+\nhX5cOWD7XlxY+cWDlV88BMmvWELtcuXxZPtePFj5xYOVX+bIRo6nrphcvL2dyJVc6+ywHE9RPZ4G\nDgRqa4PvJYmnqKF2Jo+nsjLlOZWrOSEMXKcjj0zkpwJpINehdnPn5qbcMFjiycLCYptFoR9XbmFh\nUbwollA76/FkYWGRCbLt8ZTLHE+Oo07yzLfHU1TiacgQYOPG4DKZeEon1E4mf+/oUMQTkN9wu0LK\n8ZRrj+eSktyUGwZLPFkAsLHqcWHlFw/5kl8xeDzZvhcPVn7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8eDE2bNiA559/PtL92XAM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\nA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BnKyeDQQ4FjjqHX3bv7xw5HmfDkoochlSgrxB139Ho8lZdTG8tnKysLP1VB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\nZrntDBH7iFKbRHj9de4DhYwMDv7rbaozM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|
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"text": [ |
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"<matplotlib.figure.Figure at 0x7f8b31e58750>" |
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] |
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} |
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], |
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"prompt_number": 153 |
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}, |
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{ |
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"cell_type": "code", |
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"collapsed": false, |
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"input": [], |
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"language": "python", |
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"metadata": {}, |
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"outputs": [] |
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} |
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], |
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"metadata": {} |
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} |
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] |
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} |