Skip to content

Instantly share code, notes, and snippets.

@andrewbolster
Created February 14, 2013 13:16
Show Gist options
  • Save andrewbolster/4952700 to your computer and use it in GitHub Desktop.
Save andrewbolster/4952700 to your computer and use it in GitHub Desktop.
Display the source blob
Display the rendered blob
Raw
{
"metadata": {
"name": "nananana"
},
"nbformat": 2,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"#!/usr/bin/python",
"",
"from __future__ import division # this is important, otherwise 1/2 will be 0",
"import matplotlib.pyplot",
"from numpy import arange",
"from numpy import meshgrid",
"from numpy import sqrt",
"from numpy import real",
"",
"delta = 0.01",
"xrange = arange(-7.0, 7.0, delta)",
"yrange = arange(-3.0, 3.0, delta)",
"x, y = meshgrid(xrange,yrange)",
"",
"F1 = (((x/7) ** 2) * sqrt(abs(abs(x) - 3)/(abs(x) - 3)) + ((y / 3) ** 2) *",
" sqrt(abs(y + (3 * sqrt(33)) / 7)/(y + (3 * sqrt(33)) / 7)) - 1)",
"F2 = (abs(x/2) - ((3 * sqrt(33) - 7)/112) * x**2 - 3 + ",
" sqrt(1 - (abs(abs(x) - 2) - 1) ** 2 ) - y)",
"F3 = (9 * sqrt(abs((abs(x) - 1) * (abs(x) - 3/4))/((1 - abs(x)) *",
" (abs(x) - 3/4))) - 8 * abs(x) - y)",
"F4 = (3 * abs(x) + 0.75 * sqrt(abs((abs(x) - 3/4) *",
" (abs(x) - 1/2))/((3/4 - abs(x)) * (abs(x) - 1/2))) - y)",
"F5 = ((9/4) * sqrt(abs((x - 1/2) * (x + 1/2)) / ((1/2 - x) * (1/2 + x))) - y)",
"F6 = ((6 * sqrt(10)) / 7 + (3/2 - abs(x)/2) * sqrt(abs(abs(x) - 1) /",
" (abs(x) - 1)) - ((6 * sqrt(10))/ 14) * sqrt(4 - (abs(x) - 1) ** 2 ) - y)",
"",
"",
"for f in [F1,F2,F3,F4,F5,F6]:",
" matplotlib.pyplot.contour(x, y, f, [0])",
"matplotlib.pyplot.show()"
],
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"-c:16: RuntimeWarning: invalid value encountered in sqrt",
"-c:18: RuntimeWarning: invalid value encountered in sqrt"
]
},
{
"output_type": "stream",
"stream": "stderr",
"text": [
"-c:20: RuntimeWarning: invalid value encountered in sqrt",
"-c:22: RuntimeWarning: invalid value encountered in sqrt"
]
},
{
"output_type": "stream",
"stream": "stderr",
"text": [
"-c:23: RuntimeWarning: invalid value encountered in sqrt",
"-c:25: RuntimeWarning: invalid value encountered in sqrt"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAD5CAYAAADsgWTDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XdUFNffBvBnqaKAiIB0KYr0YgNUFEXsEmMvSWzRRH+a\naKImxiRqYi+xd8XeW+xYAREFsaCA0ntTeoeF3fv+wYuxUXdnZ2e5n3M80d3ZuU9g+e5w5xYeIYSA\noiiK4gQ5tgNQFEVRDUeLNkVRFIfQok1RFMUhtGhTFEVxCC3aFEVRHKLA5Ml5PB6Tp6coipJZtQ3s\nY/xKmxDC2J+lS5cyen6m/9D8jf+Tk1OKFi1W4O7deKnIfvz4S4wcebpZfO1pfsnlrwvtHqE4JTu7\nFC1bKuLmzTi2owAAgoPT4OxswHYMqhmhRZvilKysEujotEJwcCrbUQAAwcGpuHs3AeHhb9mOQjUT\nnC7a7u7ubEcQCc3feNnZpWjfvjWePs1AVZWwyecRR3Y+X4CwsLeorBQgNbVQ5PM1Bn3vsIvN/DxS\nXweKKCfn8ertn6Goxti//xkePkxBYGAKzp4dA3v7dqxlCQlJw7ffXoGtrQ4GD+6Ar76yZy0LJVvq\nqp2cvtKmmp+srBJoa7eCs7MBHj9OYzVLcHAaunc3gJZWS2RllbCahWo+aNGmOCU7uwxaWipwdjZA\ncDD7RdvZ2QDa2i2RnV3Gahaq+aBFm+KUmivt7t0NWL8ZGRycCmdneqVNSRYt2hSnZGeXQkurJRwc\ndBEXl4fiYj4rOXJzy5CZWQxra+3/v9IuZSUH1fzQoi2j4uPzEBCQxHYMscvOLoW2dksoKcnD3r4d\nnjxJZyVHSEgaunTRh7y83P9facte0Y6Ly0ViYj7bMaiP0KItQ2Jjc7FqVQA6d94DV9cD8PNLZDuS\n2GVlVV9pA2D1ZmTNTUgA0NZuJXNX2g8eJGPIkBPo1m0funbdi7VrHyA+Po/tWBQYXnuEYl5qaiFO\nnQrHyZPhSEsrxKhR1vjnn4FwczOGvLzsfSbX9GkD1UX73LnXrOQIDk7D9OlOACCTfdp8vgD6+mqI\niJiN+/eTcPbsK7i47IeJiQYmTLDFuHG20NdXYztmsyR7P9XNQFFRBQ4dCkW/fodhb78LkZHZWLeu\nP9LSfsKOHUPg7m4ikwW7rKwSlZVCqKkpAQBrNyMJIXj8+L/p65qaKsjPL4dA0PTJPtKGzxdASUke\nCgpy6NfPFLt2DUV6+s9YsaIfXr58CxubnfD0PIojR16wdl+huaJX2hxBCMH9+0nw9g7FpUuR6N27\nPWbP7oZhwyzQokXz+DbW3ISsWT3SzKwNKioESEsrhIGBusRyxMfnQVlZ/l2bCgpyaN26BXJzy979\nFsB1FRVVUFaW/+AxBQU5DBhgjgEDzLFz5xBcuRKNI0de4McfffDll5aYNs0JPXsa0dU9GdY8fto5\n7O3bEhw8+Bz79z+HsrI8pk1zwvr1ntDRkY3i0Bg1NyFr8Hi8/7/aTsPIkZIr2tVX2YYfPKatXX0z\nUlaKds2Vdm1UVBQxdqwNxo61QWZmMY4efYEZM66AEIJvv+2MKVMc3917oMRL9n6HlgE1V9Xjx59D\np07bERWVgyNHRiAsbBZ++sm1WRZs4MObkDXYmGTzuZX9tLRka9hffUX7fbq6qli4sCdevZqN/fu9\nEBb2Fh06bMVXX11AYGAyXcpCzOiVthQpLa3E8eMvsW3bY/D5Asye3Q27dw+DhkYLtqNJheor7Q8/\nsLp3N8DatYESzREcnIY1azw+eExbu5VM3YxsTNGuwePx0KuXMXr1MkZubhkOHw7FlCmXoKqqhLlz\nu2PiRLtm05XHJHqlLQUyMoqwZMk9tG+/GZcvR2PjxgF4/fp/+OEHZ1qw35OVVfLJlXb37gZ48iRd\nYjcB+XwBXr58gy5d9D94vKZ7RFY0pWi/T1NTBfPnuyIqag5Wr/bAuXOv0L79Zvz5py/evCkWY9Lm\nhxZtFr16lYVp0y7BxmYnCgrK8fDhNFy5MgGenub0Zs5nVPcZf1i0NTVVoK+vhlevsiSS4cWLTJib\nt4GqqtIHj8ta90hFhWhFu4acHA+DBnXA9euT4O8/BW/flsDScgdmzLiCqKhsMSRtfmjRZsHjx2kY\nMeIU+vU7DFNTDcTEzMX27UPQsWNbsbZTUsKXqeFYH9+IrFFzM1ISqvuzDT95XNamsvP5Aigri7cr\nw9JSC7t3D0N09BwYGKjBze0gRo8+g6dP2ZnVylW0aEtQQEASBgw4ijFjzqJ/fzPEx/+IP/7og7Zt\nmbnLvny5P7Zvf8zIudnwuRuRANC9u76Ei/an24vJ2lT2khI+WrVSZOTc2tqtsGyZOxISfkSvXsb4\n4otTGDz4OB49SmGkPVlDi7YEPHiQDA+PI5g8+V+MHWuDmJi5mDOnO1q2ZOaHooaGRgvk55cz2oYk\n1YzT/piLi6HEJtk8fvzf9PX3ydpU9vz8CrRurcxoG61aKWHePBfExf2AESM6YcKE8xg48BiCgqRj\nKzlpRYs2g54+TcegQcfw9dcXMXGiLaKi5uDbbzuLpa+wIVq3VkZBQYVE2pKE96ewv09SK/7l5ZUh\nPb0I1tbanzwna1PZCwrKJXYTXFlZAd991xXR0XMxcqQlxo49i2HDTiA0NFMi7XMNLdoMiInJwdix\nZ+HldQpeXp0QFTUH06d3hqKiZIp1DQ2NFigokK0r7c/1aSspycPOTofxvtHHj9PQpYseFBQ+/bGR\ntdEj+fnlaN1asiOXlJTk8d13XRETMxcDBphj8ODjmDjxPOLiciWaQ9rRoi1GWVklmDPnOlxdD8DJ\nSRcxMXMxe3Y3iV1Zf0xTUwU5ObKxo4pQSJCbW1Zr/7+zsyHj/dq13YQE/usekZWJJNVfaxVW2lZW\nVsAPPzgjJmYurKy04Oy8H/Pm+SAnR3Y+FEVBi7YYVFRUYd26QFhZ7YCcHA+RkXOweLEb433W9ZGl\nftbc3DKoqyt/9ioXkMwyrSEh6ejeXf+zz7VsqQgeDygpqWQ0g6TUdtNXklRVlfDHH33w6tX/wOcL\nYGm5A5s2PQKfL2A1F9vo9CQREEJw9Wo05s+/CWtrbTx8OB0WFuIdticKWepnre0mZI3u3Q2wYMEt\nnD//irEMK1f2hYWFVq3P13xIfjyGm4tqu3/ABh2dVti5cyjmzu2On366hd27n2Lz5oEYPLgj29FY\nQYt2E8XF5eKHH3wQF5eLHTuGYODADmxH+kS7dq3w5k0JCCGcn6xTXxExN2+DnTuH4OjRlwCY+X+d\nPNkB9va6tT5f8yFpYqLBSPuSUlUlRF5eOetX2h+zstLGjRuTcO1aNH74wQfW1tXF29S0DdvRJIoW\n7UaqqKjCmjUPsG3bYyxa1BMXL45jrc+6PioqimjRQgF5eeXQ1GSnf1JcarsJWYPH42HECCuMGGEl\nwVQfkpUJNllZJdDUVKm1K4ptQ4daoH9/M2zY8BDduu3DTz+5YsGCHlL7cyhu0vldkVL+/omwt9+N\n588z8ezZd1i0qKfUv1H09dWQkVHEdgyRSUMfa31kZYJNenoR9PRU2Y5RJ2VlBSxZ0htPnszEw4cp\ncHLag8DAZLZjSQQt2g1QUFCO7767ikmTLmDt2v7499/xMDZuzXasBjE0VEdqaiHbMURWX5+2NJCV\nlf5SUwthZMSN97eJiQauXJmAZcv6YMyYs5gz5zqKimRnbsLn0KJdDx+fWNjZ7QIhBBERszFihCXb\nkRrF0FAdKSncL9qfWyxK2mhpqSA7m/tDLFNSCmFoKLlNJUTF4/EwZowNIiJmo6SkEnZ2u3DnTjzb\nsRhD+7RrUVRUgZ9/voVbt+Lg7f0F+vc3YztSk5iYtEZiYj7bMUSWnV0KR8d2bMeok7Z2KyQksLM7\nvDglJuajfXtuXGm/r00bFRw8+AV8fGIxdeoleHl1wrp1/dGqFfdH87xPpCvtlJQU9O3bFzY2NrC1\ntcXWrVvFlYtVgYHJcHDYDYGA4OXLWZwt2ED1r4+yULSlaQhabWRledbExHyYmnJ3BMygQR0QFjYL\nRUUVcHLaw8rmz0wSqWgrKipi06ZNiIiIQFBQEHbs2IHXr1+LK5vEVVUJsXSpH0aNOoNNmwbiwAEv\nqKszu2gO08zNNREXl8d2DJHVN3pEGsjKVPa4uDyYmXF7GJ2GRgscOfIlVq3ygJfXKaxYcV9iG2Uw\nTaTuEV1dXejqVo9bVVVVhZWVFdLT02Fl9d+wq2XLlr37u7u7O9zd3UVpkjHJyQWYMOE8WrVSxPPn\n30FPT43tSGJhbt4GsbHcX7uBC6NHZGEGKiEEsbG56NBBk+0oYjF6tDVcXAzx9dcXcedOPI4fHwkD\nA+nrr/fz84Ofn1/DDiZikpCQQIyNjUlRUdG7x8R4ekZduRJFdHTWkzVrAohAIGQ7jlgJhUKipraK\n5OSUsh1FJCoqK0hRUQXbMeqUlVVC2rRZw3YMkaSnFxItrXVsxxC7qioB+ftvf6Kru4H4+MSwHade\nddVOsYweKS4uxujRo7Flyxaoqkr3+M73VVUJsXjxXcyefQ0XL47DL7/0gpwct2cOfozH46FTJy1E\nRnJ3a6fS0koIhYSxRfnFRVNTBYWFFaiq4u6v4ZGR2bC0rH2qPlfJy8vh999749SpUZg+/TKWLvXj\nbHeJyEW7srISo0aNwldffYURI0aII5NEZGWVYODAY3jyJB1Pn85Ejx5GbEdijLW1tsT2UGRCzU1I\naZ+KLyfHQ5s2Kpxeje7Vq6zPrhcuK/r0McHTpzPh75+IoUNPIDeXe0M0RSrahBBMnz4d1tbWmDdv\nnrgyMe758wx067YP3bsbwMdnktSPShCVra02wsPfsh2jybgwsaYG129GhodnwdZWdos2ALRrp4o7\nd76BjY0OunXbh7CwN2xHahSRinZgYCCOHTsGX19fODk5wcnJCT4+PuLKxoizZyMwYMAxrF/vidWr\nPSAvL/vzi+zt2+HlS269Md/HhYk1Nbg+7O/Fi0zY2Un3eHhxUFCQw8aNA/DXX+7o1+8ILl2KZDtS\ng4k0eqRXr14QCrnRL0QIwcqVAdi79ylu3foKTk56bEeSGEdHXYSGZnJ2tb/q4X7c+G2Iy1PZBQIh\nwsLewtGx9pUMZc2kSfawsGiLL788jaioHCxc2EPqf0Zk/zITAJ8vwJQpl3DpUhSCg79tVgUbqP51\nUEVFkbOTbLKySjjTPcLlK+3o6Bxoa7eU2N6Q0qJbNwMEBX2LEyfC8N13V1FZKd2bLMh80S4srMCQ\nIceRn18OP7/JMjP+urG6dtVHSAizeygyJTu7jDPdI1zu037yJB3dun2603xzYGiojoCAqUhNLcQX\nX5xifJNoUch00c7MLEafPodgYdEWFy6Mlbk1CBrD2dmA8T0UmUKvtCUjODit1u3UmgM1NWVcujQe\nenpq6NfvsNR2c8ls0U5IyEOvXt748ktL7NgxpFnccKyLq6shHj1KYTtGk3DpRiSXr7QfPkyBq6vs\nDn1tCEVFeezfPxyenuZwczuIlJQCtiN9QiYrWWRkNnr3PoT5813w5599pP7GgiR0726AFy/eoKyM\nexvPcmvIHzenshcWViA6OgddujSv+z2fw+PxsHJlP8yc2QVubgelbhkImSvaYWFv0K/fYaxY0Rf/\n+193tuNIjVatlGBnp4OgIO6teMaFFf5qcHUz5cDAZHTtqg9lZbpac42ffnLFkiVucHc/hNevpWdy\nmkwV7RcvMjFgwDH8889ATJ7syHYcqdO3ryl8fRPZjtFoXFjhrwZXu0d8fRPh7m7CdgypM2NGF6xa\n5QEPjyNSM6tYZop2ePhbDBp0HFu3DsL48bZsx5FKHh6mnNvRQyAQIj+fOxsT19yIrF7zhzvu3Inn\n9LrxTPrmGwesX+8JT8+jUrGGj0z8LhQVlY0BA45i06aBGDPGhu04UqtXL2OEh79FXl4Z2rThRhHM\nzS2DhkYLztxIVlFRhKKiHIqL+VBT48Za7G/eFCM+Pg/Ozs1zuF9DTJpkj6oqIfr3PwJ//ykwN2dv\n6Vpu/CTUISkpH56eR7FyZT96hV2PFi0U0Lt3e9y6Fcd2lAbjwjraH+Paruw+PrHw8DCDoqI821Gk\n2uTJjvjjj97o3/8o0tLY23eV00U7K6sEAwYcw88/u2LqVCe243DCsGEWuHw5mu0YDcalkSM1uDaV\n/cqVaAwb1pHtGJzw3XddMWtWVwwYcIy1FQI5W7SLi/kYOvQExoyxxo8/urAdhzOGD7fAjRsx4POl\ne6puDS6NHKmhrc2dCTZlZZW4fTsew4d3YjsKZyxa1BNDhnTE8OEnWRlCy8miXVUlxPjx52Brq4O/\n/+7LdhxOMTBQh6WlFu7e5cYNSS5NrKnBpe4RH59YdOmix7nfZti2dm1/mJho4KuvLkp8MwVOFu15\n83zA5wuwZ88wOnGmCcaNs8GpUxFsx2gQrnaPcOVK+9SpCIwdS2/eN5acHA/e3l7IySnFL7/ckWzb\nEm1NDHbseAxf30ScPTuG3jhponHjbHH5chRKS6V/diQ3r7RVOHGlXVhYAR+fWIwZY812FE5SVlbA\nhQvjcPlyFA4ceCaxdjlVtH19E/D33/dx5coEtG7dvJaPFCddXVW4uBjiwoXXbEepF5fW0q7BlUWj\nzpyJQL9+pmjbllsfitJEU1MFV65MwOLFd/HgQbJE2uRM0U5KyseECedx4sQomJm1YTsO502b5oj9\n+yV3ddBUXFrhrwZXRo8cOPAc06bRmcOi6tRJC4cPj8C4ceckMhSQE0W7vLwKo0efxcKFPdCvnynb\ncWTCF19YIjIyW6rWVPgcLnaPcGEqe2hoJlJTCzF4MB3qJw6DB3fE7NldMWbMWcZHZnGiaP/88y20\nb98aP/3kynYUmaGkJI+ZM7tg27bHbEepExdvRHKhe2Tr1mB8/30XKChwogRwwuLFbmjbtiV+/ZXZ\nG5NS/x07d+4VfHxiceCAFx0pImazZnXFqVPhyMmRzgJDCOFkn7a0d49kZhbj4sVIfPddV7ajyBQ5\nOR4OHx6B8+df48qVKObaYezMYpCcXIDZs6/h1KlR9MYjA/T01DBypJXUXm2XlFSCxwNatlRkO0qj\naGi0QElJpdTuNbh5cxAmTbLj3G8wXKCpqYITJ0ZixowrSE8vYqQNqS3aAoEQX399ET//7Nps962T\nhF9/7YUdO0KQn1/OdpRPcPEqG6i+4tLUVJHKLpLs7FLs2/cMCxf2YDuKzOrZ0xizZnXFlCn/QigU\n/2qPUlu0N28OAiEECxbQNxeTOnTQxLBhFti48RHbUT7BxZEjNaR1KvvatYEYO9YG7dtrsB1Fpi1Z\n0huFhRXYuTNE7OeWyqIdGZmN1asf4NChEZxZkpPLli3rg507Q1hduexzuLT5wcekcSp7UlI+vL2f\n448/erMdReYpKMjh8OERWLbMD3Fx4t2uTOoqolBIMH36ZSxb5k7HY0tI+/YamDmzC3799S7bUT7A\nxWVZa0jjzcgFC27jhx+6Q19fje0ozUKnTlpYvLgXvv32ilg3xZC6or179xPweMDs2d3YjtKsLFni\nBn//RPj6JrAd5R0urvBXQ9qG/d28GYunT9OxaFFPtqM0K/PmuaCkhI+DB0PFdk6pKtoZGUVYutQP\ne/YMg5wcHd4nSaqqSti+fQhmzLiCkhI+23EAANnZZdDS4sYOOx+Tpgk2hYUV+O67q9i1ayhUVLg1\nEofr5OXlsGfPMCxefFdsH+JSVbQXLbqD6dOdYGOjw3aUZsnLqxNcXY2wcOFttqMAoFfa4jJvng88\nPc0xcGAHtqM0S05OepgwwVZsk25EKtrTpk1Du3btYGdnJ3KQwMBk+Pkl4vff6U0SNm3fPhg+PrE4\ne5b9pVt1dVVhbs7N+xrScqV97NhLPHiQjE2bBrIdpVlbvtwd167F4MmTdJHPJVLRnjp1Knx8fEQO\nIRQSzJ9/E6tXe0BVVUnk81FN17p1C5w9OwazZ19HWNgbVrOsWNEPHh7c3CFcGq60nz3LwPz5N3Hu\n3Fj6c8Wy1q1bYMWKvpg//6bINyVFKtpubm5o00b0K6HTp8NBCDBxouhX7JTounTRx5YtgzBs2Emp\nGwbIFWyPHklKyoeX10ns3j0U9vbtWMtB/WfKFEcUFlbg4sVIkc6jIKY8tVq2bNm7v7u7u8Pd3f2D\n5/l8AZYsuQdv7y/ozUcpMnGiHdLSCtG//1H4+k6Grq6qRNuPi8vF69fZGDbMQqLtiouenirat2+N\nxMR8mJhIdiJLzfdt0aKeGDWKbnAgLeTl5bBuXX/8+KMPvLw6fbBYl5+fH/z8/Bp2IiKihIQEYmtr\n+9nnGnL6nTsfkwEDjooag2LIX3/5EQuLbSQhIU8i7QmFQnLs2AuipbWO7N4dIpE2mXL6dDjR1l5H\nTp8Ol1ibsbE5xNx8C1m79oHE2qQaTigUkj59DhJv72d1HldX7WS1aJeXVxJDw39IcHCqqDEoBm3Z\nEkT09TeSBw+SGG0nLa2QjBx5mlhb7yDPnqUz2pakPH6cSiwstpGxY8+SzMwiRtvy9U0gurobOP9h\nJ+vu308kpqabCZ9fVesxddVOVof8HTwYCnv7dujenS4IJc1++MEZ+/YNx8iRZ7By5X1UVYl39+ny\n8iqsXx8Ie/tdsLLSwtOnM+HkpCfWNtjSrZsBQkO/g4mJBmxtd2HTpkeoqKgSaxuVlQIsW+aH8ePP\n4ciREXTJVSnn5tYepqZtcOzYy6adQJRPjPHjxxM9PT2ipKREDA0Nibe3d4M/LSorBcTUdDMJDEwW\nJQIlQcnJ+cTT8whxcNhF7t6NF/l8JSV8sn17MDEy+od4eZ0kkZFZYkgpvSIi3pIhQ46T9u03kd27\nQ0hpKV+k8wmFQnLzZiyxsdlBhgw5TtLSCsWUlGLa3bvxpFOnbUQgEH72+bpqp8jdI3Wpq+GTJ8NI\nr17etT5PSSehUEhOnw4n5uZbiJubNzl7NoKUl1c26vWPH6eSH3+8Qdq2XUu8vE6SoKAUBhNLn8DA\nZDJ06HGirb2O/PTTTfL0aToRCj//w/s5ZWWV5OTJMNKjxwFiYbGNnD//qlGvp9gnFApJt257ycWL\nrz/7fF21k/f/BzCCx+N9dkwiIQQuLgfw22+98MUXlkw1TzGoqkqI8+dfYffupwgNzUS/fqbo1csI\nNjY6MDJSh7q6MoDqKdSpqYWIjMzG48fpuHcvAa1aKWL8eFtMmeLYrBcFi43NxcGDoTh9OhwVFQL0\n62eKbt30YWmpBUNDdaipVY+tLiioQEpKAcLD3+LBgxT4+iaga1d9fP99V3z5pSVdCZOjzpyJwPbt\nj3H//tRPnqutdgIAK0U7ODgVEydeQHT0HPqGkwGZmcW4cyceQUGpePUqC2lpRSgqqgAAqKkpw8BA\nDRYWbdGlix7c3U3QsWNblhNLF0IIoqNz4O+fhKdPMxAdnYP09P++hurqyjAwUIe1tTZcXAzg6WkO\nHR1uTu+n/lNVJYSp6RZcuTIBjo66HzwndUX7m28uwt6+Hd3ggKKoZm3FivtITi7A3r3DP3hcqop2\nXl4ZTE23IDb2B86ulUxRFCUOGRlFsLbeieTkeVBTU373eF1FW+J9EydOhGHQoA60YFMU1ezp6amh\nT5/2OHOm4Qu0SbxoHznyElOmOEq6WYqiKKk0daojDh9+0eDjJVq0Y2JykJSUj/79ublyG0VRlLgN\nHtwRr15lITm5oEHHS7RonzoVjjFjbD5YKIWiKKo5U1KSx5dfWuH06fAGHS/R6nn+/GuMGUNXHaMo\ninrfmDHWOH/+dYOOlVjRTkjIQ3p6EXr2NJJUkxRFUZzQt6/Ju/H59ZFY0b56NRpDh1rQyTQURVEf\nUVSUx8CBHXDtWnS9x0qsgt64EYshQ+jGohRFUZ8zZEgH3LgRW+9xEinafL4ADx4kc3a/P4qiKKZ5\neprD1zex3qWPJVK0g4NTYWHRFpqaKpJojqIoinN0dVVhYKCG588z6jxOIkX7/v0k9OljIommKIqi\nOKtPHxPcv59U5zESKdqBgSno1YuOGqEoiqpLr15GCAxMqfMYxos2IQTBwWlwdjZkuimKoihOc3Ex\nRHBwWp3HMF60k5IK0KKFAvT11ZhuiqIoitNMTDRQXl73HqKMF+3nzzPg5KRb/4EURVHNHI/Hq7de\nMl60w8Lews6uHdPNUBRFyYT66iXjRfv162xYW2sx3QxFUZRMqK9eMl60Y2JyYGFB9wSkKIpqiPrq\nJeNFOy4uD+bmmkw3Q1EUJRPqq5eMF20+X4C2belMSIqiqIbQ01Ot83nGi7aBgRp4PB7TzVAURcmE\n+lZCZbxo6+nR8dkURVHiwnjR1tamu65TFEWJC+NFu00b2p9NURQlLiIVbR8fH1haWqJjx45Yu3bt\nZ49RV1cWpQmKoijqPU0u2gKBAHPmzIGPjw9evXqFkydP4vXrTzembNlSUaSAFEVR1H+aXLQfP36M\nDh06wMTEBIqKihg/fjwuXbr0yXHKyvIiBaQoiqL+o9DUF6alpcHI6L81sg0NDREcHPzJcX5+h1BV\ndQ8A4O7uDnd396Y2SVEUJZP8/Pzg5+fXoGObXLQbOvbaw2MqFi92a2ozFEVRMu/jC9rly5fXemyT\nu0cMDAyQkvLfDgspKSkwNPx0owOBgDS1CYqiKOojTS7aXbt2RUxMDBITE8Hn83H69Gl4eXl9clxF\nhUCkgBRFUdR/mtw9oqCggO3bt2PgwIEQCASYPn06rKysPjmutLRSpIAURVHUf5pctAFg8ODBGDx4\ncJ3HFBVViNIERVEU9R7GZ0Tm5pYx3QRFUVSzwXjRzsoqZboJiqKoZoPxop2ZWcx0ExRFUc0G40U7\nLa0QhNBhfxRFUQ0hFNZdLxkv2oqK8rRfm6IoqoEyMorqfJ7xom1m1gZxcXlMN0NRFCUT6quXjBft\njh01ER2dw3QzFEVRMqG+esl40bay0sKrV1lMN0NRFCUT6quXjBdtO7t2CAt7y3QzFEVRMqG+esl4\n0XZ01MXz5xlMN0NRFMV5hBCEhmbWeQzjRdvUVAOlpZV0vDZFUVQ9kpIKoKBQd1lmvGjzeDw4Oxsi\nKCiV6aaNyjqNAAAgAElEQVQoiqI4LSgoFc7OBnUew3jRBoAePQwRGJhS/4EURVHNWGBgCnr2NKrz\nGIkU7d6928PfP1ESTVEURXGWv38ievduX+cxEinaLi6GeP06G/n55ZJojqIoinPevi1BcnIBunTR\nr/M4iRRtZWUF9OxphLt34yXRHEVRFOfcvh0Hd3cT9m9E1hg8uAOuX4+VVHMURVGccv16LAYP7lDv\ncRIr2sOGWeDateh6V7CiKIpqbiorBfDxicXQoRb1Hiuxom1urgkdnVZ49IiOIqEoinrf/ftJMDNr\nA0ND9XqPlVjRBoBRo6xw9uwrSTZJURQl9c6efYXRoz/dGP1zJFq0x4+3xZkzERAIhJJslqIoSmpV\nVgpw/vxrjBtn26DjJVq0O3XSgr6+Gu7dS5BksxRFUVLLxycWFhZtYWKi0aDjJVq0AWDyZAccOvRC\n0s1SFEVJpUOHXmDyZIcGHy/xoj1xoh2uXYumW5BRFNXsvXlTjLt34zF+fMO6RgAWinbbti0xdKgF\nDh8OlXTTFEVRUsXb+zlGjbKGurpyg18j8aINAP/7Xzfs3PmEjtmmKKrZqqoSYvfup5g9u2ujXsdK\n0XZ1NUTr1sq4fj2GjeYpiqJYd+lSJAwN1etda+RjrBRtHo+H+fNdsGHDQzaapyiKYhUhBBs2PMJP\nP7k0+rVNLtpnz56FjY0N5OXl8ezZs0a/fuxYGyQm5iM4mG6OQFFU8xIQkIzs7FKMGGHZ6Nc2uWjb\n2dnh4sWL6N27d5Ner6gojwULemDlyoCmRqAoiuKklSsD8MsvPSEv3/gS3OSibWlpCQuL+hc3qcu3\n33bG06cZePaMbvxLUVTz8OhRCqKisvHNNw0fm/0+BTHn+cSyZcve/d3d3R3u7u7v/t2ihQJ+/bUn\n/vjDF9euTWQ6CkVRFOt+/90XS5a4QUlJ/t1jfn5+8PPza9DreYSQWsfdeXp6IjPz0+3cV61aheHD\nhwMA+vbti40bN6Jz586fnpzHQx2nBwBUVFShU6ftOHr0S7i51b3NDkVRFJfduROPWbOu4dWr2VBU\nlK/1uLpqZ51X2rdv3xYtYQMoKyvg77/7YtGiO3j4cBp4PB7jbVIURUmaUEiwaNFtrFzZr86CXR+x\nDPmr72q6PpMm2aOiogpnzkSIIw5FUZTUOXr0BZSVFTBmjLVI52ly0b548SKMjIwQFBSEoUOHYvDg\nwU0PIcfD5s2DsGjRHZSWVjb5PBRFUdKoqKgCv/12D5s2DRS5N6HOPm1RNaRP+30TJpyHuXkbrFjR\nj6lIFEVRErdgwS1kZ5fi0KERDTq+rtopVUU7La0QDg678eDBNFhaajEVi6IoSmLCwt7Aw+MIwsJm\noV071Qa9pq7ayco09toYGKjjzz/74Pvvr9LFpCiK4jyBQIiZM6/i77/7Nrhg10eqijZQvQJgWVkV\n9u17ynYUiqIokezYEQIFBTnMmNFFbOeUqu6RGhERb+HufhhPnsxA+/YN24KHoihKmsTG5sLFZT8e\nPpwOC4u2jXotZ7pHatjY6ODnn10xdeol2k1CURTnCARCTJnyL5YscWt0wa6PVBZtAFi4sAcqKgTY\nvDmI7SgURVGNsnZtIBQV5fHjj41ferU+Utk9UiMhIQ/du+/HrVtfwclJT4zJZF9OTikSE/NRXMyH\nkpI89PTUYGzcGnJydMYp9XlCIUFSUj4yMopRWSmAmpoyTEw0oKmpwnY0TgkOToWX1yk8eTIDRkat\nm3SOJk9jZ5upaRts3ToI48adw9OnM6Gm1vB91JobQgj8/BJx8mQ4bt2KQ15eOczM2kBNTQkVFQKk\npRWiuJiP3r3bY/Roa4webY2WLRXZjk2xrKSEjzNnInDu3Gs8eJAMdXVlGBioQUlJHoWFFYiPz0Pb\nti0xcKA5Jk60g5ubMV1qog75+eWYMOE8du0a2uSCXR+pvtKuMWPGFRQVVeDkyVH0DfMRQgguXozE\n0qV+IIRgyhRHDBtmgU6d2n7ytcrKKsHt2/E4fjwMISFp+PlnV/z4owtatJDqz26KAaWlldi06RE2\nbw6Gq6shJk60Q//+ZtDSavnBcUIhQWRkNq5ejcbBg6FQVpbHX3/1xfDhFvRn8SOEEIwceQaGhurY\ntq3pM8SBemonYZC4Tl9ayieOjrvJli1BYjmfrEhIyCMeHoeJvf0ucu1aNBEKhQ1+7atXb8mIEadI\nhw5bSUBAEoMpKWnj65tATE03k9Gjz5CoqOwGv04oFJLLlyOJtfUOMmjQMZKcnM9gSu5Zt+4B6dZt\nLykvrxT5XHXVTk4UbUIIiYvLJTo664m/f6LYzsllFy++Jtra68iaNQGkslLQ5PP8++9r0q7derJu\n3YNGFX2Ke4RCIVmxwp/o6W0g165FN/k8fH4V+ftvf6Kjs55cvRolxoTcdft2HNHV3UCSksTzQSYT\nRZsQQm7ejCW6uhtIYmKeWM/LNevWPSCGhv+Q4OBUsZwvOTmfODntJjNnXiFVVU3/AKCkV2WlgEyZ\n8i/p1m0vSUsrFMs5AwOTib7+xmb/G3BsbA7R0VlPfH0TxHbOumonJ/q037dp0yMcPBiKwMBpze7G\nJCEEf/7phwsXXuPmza9gaKgutnMXFVXAy+sUTEw0cOCAFx1lIkMEAiG+/voicnLKcOHCWLRqpSS2\ncycl5WPAgGP45ht7LFnStP1iuSw/vxw9ehzA3LndMWtWN7GdlzMLRjUEIQTff38NqamFuHRpPBQU\npHaouditWfMAx469hK/vZGhrtxL7+UtK+Bg48BhcXAyxYcMAsZ+fkjxCCH74wQcREW9x7dpEqKiI\nf8RQZmYx+vQ5hFmzumLePPGPS5ZWlZUCDBlyAlZWWti6VbQbjx/j3IzIuvB4PGzfPhhVVULMmXNd\n7B8K0urkyTDs2vUEt259zUjBBoBWrZRw+fIEXLkSjYMHnzPSBiVZu3c/wb17Cbh4cRwjBRsAdHVV\ncfv219i48REuXHjNSBvShhCCmTOvokULBWzaNFCibXPuSrtGUVEFevc+hC+/tMSff/ZhpA1p8eJF\nJvr3P4q7d7+BvX07xtt7/ToLvXsfYqy9+Pg83LgRg+fPM5GSUgg+XwA1NSWYmbVB9+4G8PQ0Y+yD\niQ1v35bg1q04hISkIyEhD0VFfCgry8PIqDU6d9bF4MEdYWIi/jV2nj5Nx+DBx/Hw4XR06KAp9vN/\nrr1Bg47D338KrK21GW+PTUuW3MPt23Hw9Z0s1u6mGjLVPfK+zMxi9OzpjQULXMXanyRNiov56NJl\nL5Yu7YOJE+0k1u7hw6HYsOERnjyZAWVl8YzjvnUrDitXBiAyMhtDh3aEs7MBjI1bQ1lZAQUF5YiN\nzUVgYAp8fRPRq5cx5s1zRv/+ZpwcD0wIwc2bcdiyJRiPHqXAw8MMrq6G6NBBE+rqyigvr0JSUj6C\ng9Nw7VoM7O3bYckSN/TrZyqW9svKKuHktAfLl7tj3DhbsZyzIby9n+Offx4hJGQGY1f2bNu8OQi7\ndj3BgwdTGbu44Pw47brExeUSA4ON5NixF4y3xYbvv79KJk++KPF2hUIh+eKLk+TPP31FPldmZhH5\n4ouTpGPHreTEiZeEz6+q8/ji4gpy4MAzYmm5nbi5eZPnzzNEziBJISFpxNV1P7Gx2UEOHw4lpaX8\nOo+vqKgiR4++IGZmW8jo0WdIVlaJyBkWLbpNxo07K/J5GksoFJJx486SefN8JN62JHh7PyPGxpvE\nNrSvNnXVTs4XbUIICQ9/Q9q1W0/OnYuQSHuS4ueXQAwN/yF5eWWstJ+aWkDatl1LoqMbPgHjY48f\npxIDg41k8eI7jZ50UFUlIHv2PCHa2uvI77/fq7fYs62ioor88stt0q7deuLt/YwIBI0b915WVkkW\nLLhFjIz+EemDKjz8DdHSWkcyM4uafA5RZGeXEF3dDeThw2RW2mfKiRMviZ7eBhIZmcV4WzJftAkh\n5NmzdKKjs55cvPhaYm0yic+vIlZW28mFC69YzbFmTQAZMeJUk17r759ItLTWifw9SU8vJAMGHCVu\nbt7kzZtikc7FlPT0QuLqup8MG3ZC5IxnzoQTbe11TS56gwYdI5s3PxIpg6hOnHhJHBx2ycy4/9On\nw4mu7gYSFvZGIu01i6JNCCFPnqQRHZ315Px5dgudOGzZEkQGDDjK+izFsrJKYmT0D3n0KKVRrwsN\nzSDa2uvInTtxYskhEAjJkiV3ianp5kZNvZaEiIi3xNh4E1m+3K/RV9e1uX49mujorCcREW8b9Tpf\n3wRiZraFVFSw+1uJUCgkvXsfJHv2PGE1hzicPBlGdHU3kBcvMiXWZrMp2oQQ8vRpOmnXbj05ceKl\nxNsWl4KCcqKjs568fCm5N0ld9ux5QgYOPNrg47OzS0j79pvIqVNhYs9y4MAzoqe3QWq+Ns+eVb/f\njh4V/z2Vw4dDibn5FpKf3/DusT59DpLDh0PFnqUpnjxJI3p6G0hxcQXbUZrs0KHnrLzfmlXRJoSQ\nsLA3RF9/I9m7l5uf8n/95Ue++uoC2zHeKS+vJAYGG8mzZ+n1HisUCsnIkafJ/PnM3Yiq6Vtk+4pb\nEvdSZs26SiZOPN+gYx89SiEmJptFWotG3EaPPkPWrXvAdowm2b49mBga/kNev2a+D/tjza5oE0JI\ndHQ2MTHZTNasCWC9i6ExiooqiJbWOtYL0sfWrn1Avv66/g+Ss2cjiJXVdrGsdFaXAweeEROTzSQj\ng52bbSkpBcTI6B/GRy2VlPBJhw5byZUr9S/MNHbsWdb7sj/28mUm0dXdUO8IGmkiFArJ8uV+xNx8\nC4mPz2UlQ7Ms2oRUj36wtd1J5s3zEVtfI9M2b35ERo8+w3aMT2Rnl5DWrVfXORyttJRPjI03SWwl\nxmXLfImz8z5SVsbsB8THSkr4xMlpN1mzJkAi7d26FUvMzLbU+UGYkVFENDTWNKorRVKGDTtBdu8O\nYTtGg1RVCcisWVeJo+Nu1i4ICKm7dnJuGntjGBio4/79KXj2LAPjxp1DWVkl25HqJBQSbNv2GPPn\nS9/6DW3btsSwYRY4fvxlrcds3/4YXbvqo3fv9hLJ9OeffWBs3Bpz596QSHtA9aSZ7767ChsbHSxa\n1FMibXp6msPSUgt79z6t9ZjDh0MxapQVWrduIZFMjfHTTy7YsiVY6pecKCnhY+TIM4iOzoG//xTo\n6qqyHemzZLpoA0CbNiq4desrKCjIwcPjCN6+LWE7Uq1u346DuroyXF0N2Y7yWZMnO+DIkc8X7bKy\nSmzc+AjLl7tLLA+Px8OBA14ICEjCsWO1f5iI04EDzxEamok9e4ZJdKbmX3+5Y+3aQPD5gk+eI4Tg\nyJGXmDLFUWJ5GsPd3QQ8Hg/37yexHaVWGRlFcHc/DA2NFrh+fRLU1aV3BVGZL9oAoKysgOPHR8LD\nwwzOzvsRHv6W7UiftX//c8yc2UVqp23362eKtLRCxMTkfPLcsWMv0a2bAWxtdSSaSU1NGadOjcb8\n+TeRmJjPaFsxMTlYvPguTp8eLfH9Nbt00YeVlTZOnQr/5LmIiCwUFVWgRw8jiWZqKB6PhxkzOmP/\nfulchCw0NBMuLgfg5WWBQ4e+gJKSPNuR6sZWvwxbjh17QbS115F//5WuSTi5uaVEXX01a7MfG2rW\nrKuf7ct1ctpNbt6MZSFRtbVrH5C+fQ8xdtO5qkpAevQ4wOqC/5cuRRIXl/2fPL5smS+jo3XE4e3b\nYtK69WpSWFjOdpQPnDkTTrS01pEzZ8LZjvKBumpnk6+0Fy5cCCsrKzg4OGDkyJEoKCgQ3ycJgyZN\nssfVqxMxZ84NLFvmB6FQOvrZLl6MRP/+ZtDQkL4+yfd5eXXClSvRHzz24kUmcnLK0L+/GUupgJ9/\ndkVxMR8HDjBzNbdr1xPIyfEwZ053Rs7fEEOGdERiYj6iorI/ePzq1Rh4eXViKVXDaGu3Qs+exrh8\nOYrtKACqN4b47be7WLjwNm7e/ApjxtiwHanBmly0BwwYgIiICLx48QIWFhZYvXq1OHMxqnt3A4SE\nzMDduwkYPvwkcnPL2I6Es2dfYexYa7Zj1Mvd3QQvXrxBQUH5u8dOnYrAhAm2rO52Iy8vh337huO3\n3+4iK0u89y0yMoqwfLk/9u4dxur/o4KCHMaNs/mgiyQrqwQxMTno2VM6u0beN3asNc6dY3+97ezs\nUgwefBxBQakICZmBzp312I7UKE0u2p6enpCTq365s7MzUlNTxRZKEnR1VXHv3jfo1KktunTZi5CQ\nNNayFBVVIDAwGUOGdGQtQ0O1aKEAV1dD+Pv/d1Pp4sXXGDXKisVU1RwcdDFhgh1+/91XrOf99de7\nmDbNCVZW7K8RPWqUFS5ejHz3b1/fRLi5tYeiopT3wwIYPrwT7t6NZ3UU16NHKejceQ86d9ZjdEMR\nJolloWRvb29MmDDhs88tW7bs3d/d3d3h7u4ujibFQlFRHv/8MxA9exph6NAT+O03N/z4o7PEbwTe\nuRMPFxdDzux52bt3e/j7J8HLqxMSEvKQn1+OLl302Y4FAFi2rA8sLXdgzpxusLMTfQOHp0/Tcft2\nHKKi5oghneh69DBCSkoh0tIK/39IaxL69JHMEEtRaWqqwNFRF35+iRg8WLIXKEIhwcaND7FhwyPs\n3z8cw4dLV3eSn58f/Pz8GnZwXZ3h/fv3J7a2tp/8uXz58rtjVqxYQUaOHNnoznRpExeXS7p120uG\nDj1O3r6V7Epy339/lWzYECjRNkVx7148cXWtviG2b9/TBk+zlpTNmx+RIUOOi+VcHh6HpW5iyKhR\np8mRI9Xrizg57ebUEqgrVvhLfK3tjIwiMmDAUdKjxwGSmJgn0babqq7aKVJVPXjwIOnRowcpK/v8\niAcuFW1C/lsPWU9vA7l+PVpi7VpYbOPUQv+FheWkZcuVpLJSQL755qLUreRWXl5J2rffRAIDRStm\nd+/Gkw4dtkrdOt5btgSRGTMuk7KySqKiskLiM0JF8ehRCrG33yWx9i5fjiS6uhvIH3/ck6o1WerD\nSNG+ceMGsba2JllZtS+mwrWiXePevXhibLyJzJp1lfEVyjIzq6cfc2WafY2OHbeS8PA3pFOnbSQ0\nVPo+cPbufUI8PY+IdA43N+93V7TSJDg4lTg47CJPnqQRW9udbMdpFD6/iqiqrmJ8aGthYTn59tvL\nxNR0MwkISGK0LSbUVTubfCNy7ty5KC4uhqenJ5ycnDB79uymnkrq9O1rihcvvkdJSSUcHHYjIIC5\nmVxBQalwdjZgdVRCU9ja6uDx4zQkJxfAxkayE2oaYvJkR0RGZuPx46bdYA4ISEJ6ehEmTJDcvpwN\nZW/fDlFROXj+PBN2dtL3ta+LoqI8unTRQ3AwcwMX7t1LgL39bhBCEBr6PXr1MmasLTY0+UZkTEyM\nOHNIHQ2NFjh8eAQuXYrE+PHnMXKkFVav9oCqqnh3Xg4JSUf37gZiPackWFpq4d9/o2Bh0RYKCtI3\nsVZJSR4LFvTAunWBOHdubKNfv3ZtIBYu7CGV/28tWijAxEQDV65Eo3NnXbbjNFr1kNt0DBzYQazn\nLSyswKJFt3HtWgz27BnGidFYTSF970gp88UXlggLm4WiogrY2u7EjRvi/bAKDc2EkxP3fvDMzdvg\n+vUYdOqkxXaUWk2b5gQ/v0QkJOQ16nVRUdkICUnHN984MJRMdBYWbXH9egw6dNBkO0qjOTnp4vnz\nTLGe8/LlKNjY7IRAQBAePktmCzZAi3aDaGqq4NChEdi3bzjmzLmBcePOISOjSCznDgt7K5ahaZJm\nbNwaVVVCmJpqsB2lVqqqSpg61Qk7doQ06nXbt4dgxozOUFGR7PoijWFqqoGqKiGMjVuzHaXR7Oza\niW39n9TUQowadQYLFtzCkSPVP6PSuNKhONGi3QienuYIC5uFDh00YWe3C1u2BKGqStjk85WU8PH2\nbYlUF77aGBqqAwCMjNRZTlK3WbO64vDhFw2e0FFczMfx4y/x/fddGU4mmpqve833gUssLNoiKSn/\nsysWNlRlpQAbNjyEo+Nu2Nrq4OXLWejb11SMKaUXLdqN1LKlIlau7IcHD6bhypVoODntgZ9fYpPO\nFR+fBxMTDcjLc+/boKmpAgDQ0mrJcpK6mZm1QefOerhwoWHTp0+fDkevXsZSXwxrvu5t2qiwnKTx\nlJTkoa+v1uRVGe/ciYeDw27cuROPR4+mY/lyd7RoIZZ5gpzAvWohJSwttXD79tdYurQPpkz5F6NH\nn2l032liYj7MzNowlJBZNTdkxX1jlgnTpzvB2zu0Qcd6e4fi2287M5xIdFz6+n+OqWmbRhft2Nhc\njBhxCjNnXsGqVR64cWMSOnZsy1BC6UWLtgh4PB5Gj7bG69f/g6OjLrp23YeFC28jP7+8/hejuj/O\nwECN4ZTMqOnvlfS60k3h5dUJoaGZSEmpeyXKuLhcxMbmYvBg8Y5qYELNqBZpHN3SEIaG6khLK2zQ\nsbm5ZZg//yZcXPbDxcUQr179DyNGWErtuvNM4+Z3XMqoqCji9997Izx8FvLzy2FhsQ3//PMI5eVV\ndb7O1dUIkydL7wiFutSMK+fCD06LFgoYOdLqsxsIvO/kyXCMHWvDicWXuE5PTxWZmcV1HlNWVol1\n6wLRqdN2lJdXISJiNn79tVez6gr5HFq0xUhPTw379g2Hr+9k+PsnwcJiGw4ceFbrzUpHR1307Mnt\ngf8cqNkAgPHjbXD6dESdx5w+HYHx47mzrjKXqakpoaiI/9nnKisF2LPnCTp23Ibg4DQEBEzFrl1D\n0a6ddO7ZKGm0aDPAxkYHly6Nx+nTo3HsWBisrXfg+PGXEAiaPtJEGs2Z050zaxH36WOCpKSCWvtR\no6KykZtbBldX6V+XGqheaVEaN4BuqFatlFBS8uGInqoqIQ4fDoWl5Q6cO/caFy6Mw/nzY2FpKb1z\nAdjA+/957sycnMeT+h2YmUYIwb17CVi61A9ZWaX4/Xc3TJhgx9m+SC6bNu0SHBza4ccfPy1269YF\nIjExHzt3DmUhWfOzb99TBAenYf9+L1RWCnDs2EusWvUABgZqWL7cHX36mLAdkVV11U5aORjG4/Hg\n4WGGgICp2LFjCPbvfw5Ly+3Yt+8pKirq7vOmxGv4cAtcvfr5Ga1XrkRj+HALCSdqvlRVlVBQUIFd\nu0JgYbEdR4++xL59w+HnN6XZF+z60CttFgQEJGHVqgfQ01OFt/cXbMdpNoqKKqCv/w8yM39Gq1b/\nDZXLzy+HsfEmvHmzQKpnQcqSgIAkfP/9NZiZtcHixb2kdid5ttRVO2nRZhGfL4CSEh2pIEl9+x7G\nwoU9Plib4sKF19i79yl8fL5iMVnzQ9//taPdI1KKvmElz8PDFHfvJnzw2N27CfDwaB5ToKUJff83\nDS3aVLPi7m4Cf//EDx7z90+Eu7sJK3koqrFo0aaalW7d9BEZmY3i4uoxwnl5ZUhOLoCTEzeGLlIU\nLdpUs6KsrAB7+3YICane0SY4OA1duujTIZgUZ9B3KtXs1OycAgDBwdXbvVEUV9CiTTU7Xbro4dmz\nDADA8+eZ6NKFdo1Q3EGLNtXsODrqIjS0erurFy/ewMGBe9u9Uc0XLdpUs9OpkxaSkgqQk1OKN2+K\nYW7OzTXNqeaJFm2q2VFSkkf79q1x7VoMOnZsy8mdg6jmi75bqWapY8fq3cwtLJrfzicUt9GiTTVL\nZmZtcPduAme3e6OaL1q0qWbJ2Fgd2dmlMDaW7g18KepjtGhTzZK+vtoH/6UorqBFm2qWdHWrt66i\nW1hRXMPpou3n58d2BJHQ/OyJinoKoHqvQi7i8tceoPlF0eSi/ccff8DBwQGOjo7w8PBASkqKOHM1\nCP3Gs4vL+cPCHgPAB5shcAmXv/YAzS+KJhftRYsW4cWLFwgNDcWIESOwfPlyceaiKEYpKVW/9VVV\nuVm0qearyUVbTe2/GzjFxcXQ0qI7JlPcUbMAf6tWdHsxiltE2m5syZIlOHr0KFq2bImgoCBoaGh8\neHIeT+SAFEVRzVGT9oj09PREZmbmJ4+vWrUKw4cPf/fvNWvWICoqCgcPHhRDVIqiKKo2YtnYNzk5\nGUOGDEF4eLg4MlEURVG1aHKfdkxMzLu/X7p0CU5OTmIJRFEURdWuyVfao0ePRlRUFOTl5WFubo5d\nu3ZBR0dH3PkoiqKo9zT5SvvcuXMICwtDaGgozp8/z2rB3rZtG6ysrGBra4tffvmFtRyi2LhxI+Tk\n5JCbm8t2lEZZuHAhrKys4ODggJEjR6KgoIDtSPXy8fGBpaUlOnbsiLVr17Idp9FSUlLQt29f2NjY\nwNbWFlu3bmU7UqMJBAI4OTl9cG+MK/Lz8zF69GhYWVnB2toaQUFBkg1AOO7evXukf//+hM/nE0II\nefv2LcuJGi85OZkMHDiQmJiYkJycHLbjNMqtW7eIQCAghBDyyy+/kF9++YXlRHWrqqoi5ubmJCEh\ngfD5fOLg4EBevXrFdqxGycjIIM+fPyeEEFJUVEQsLCw49/+wceNGMnHiRDJ8+HC2ozTaN998Qw4c\nOEAIIaSyspLk5+dLtH1OT2MHgF27dmHx4sVQVKweb6utrc1yosb76aefsG7dOrZjNImnpyfk5Krf\nRs7OzkhNTWU5Ud0eP36MDh06wMTEBIqKihg/fjwuXbrEdqxG0dXVhaOjIwBAVVUVVlZWSE9PZzlV\nw6WmpuL69ev49ttvax3WJq0KCgoQEBCAadOmAQAUFBTQunVriWbgfNGOiYnB/fv34eLiAnd3dzx5\n8oTtSI1y6dIlGBoawt7enu0oIvP29saQIUPYjlGntLQ0GBkZvfu3oaEh0tLSWEwkmsTERDx//hzO\nzs5sR2mw+fPnY/369e8+7LkkISEB2tramDp1Kjp37owZM2agtLRUohkUJNpaE9U2XnzlypWoqqpC\nXl4egoKCEBISgrFjxyI+Pp6FlLWrK//q1atx69atd49J45VHQ8brr1y5EkpKSpg4caKk4zWKLE34\nKntmFL0AAAHrSURBVC4uxujRo7FlyxaoqnJjtcKrV69CR0cHTk5OnFx/pKqqCs+ePcP27dvRrVs3\nzJs3D2vWrMFff/0luRAS7YxhwKBBg4ifn9+7f5ubm5Ps7GwWEzVcWFgY0dHRISYmJsTExIQoKCiQ\n9u3bkzdv3rAdrVEOHjxIevToQcrKytiOUq9Hjx6RgQMHvvv3qlWryJo1a1hM1DR8Pp8MGDCAbNq0\nie0ojbJ48WJiaGhITExMiK6uLmnZsiX5+uuv2Y7VYBkZGcTExOTdvwMCAsjQoUMlmoHzRXv37t3k\nzz//JIQQEhUVRYyMjFhO1HRcvBF548YNYm1tTbKystiO0iCVlZXEzMyMJCQkkIqKCk7eiBQKheTr\nr78m8+bNYzuKSPz8/MiwYcPYjtFobm5uJCoqihBCyNKlS8miRYsk2j4nukfqMm3aNEybNg12dnZQ\nUlLCkSNH2I7UZFz81X3u3Lng8/nw9PQEALi6umLnzp0sp6qdgoICtm/fjoEDB0IgEGD69OmwsrJi\nO1ajBAYG4tixY7C3t383qW316tUYNGgQy8kaj4vv+W3btmHSpEng8/kwNzeX+PIdYpnGTlEURUkG\n927fUhRFNWO0aFMURXEILdoURVEcQos2RVEUh9CiTVEUxSG0aFMURXHI/wFveCuBnS9DKwAAAABJ\nRU5ErkJggg==\n"
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": true,
"input": [],
"language": "python",
"outputs": []
}
]
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment