networkx tutorial github

a text string, an image, an XML object, another Graph, a customized node object, etc. [blog post][5] | [notebook][6], Gain further practice by taking this course online at. For those who do not have the capability of installing the Anaconda Python 3 distribution on their computers, please follow the instructions below. NetworkX Tutorial @ MSCX - Setup Instructions. A tag already exists with the provided branch name. Requirements as of the tutorial date (January 10, 2016) are, python >= 2.7 Matplotlib >= 1.5.0 4 commits. ipython >= 4.0. Code. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Creating a graph # Create an empty graph with no nodes and no edges. 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If nothing happens, download GitHub Desktop and try again. pyplot as plt # create a new empty graph G = nx. Raw. The remaining. You signed in with another tab or window. 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Now that you have an idea of what the NetworkX package provides, you should investigate the parts of the package most useful for you. Code Revisions 2. networkx-tutorial.ipynb. Jon Charest's use of Circos plots to visualize networks of Metal music genres. If you do not have the Anaconda distribution, I would highly recommend getting it for Windows, Mac or Linux. NetworkX stands for network analysis in Python. Work fast with our official CLI. sign in Star 0. With the fixed typo, and networkx version 2.8.7 and matplotlib version 3.5.1, the code produces following figure: Share Improve this answer Follow edited Oct 25 at 6:53 Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Please Read more. What could cause NetworkX & PyGraphViz to work fine alone but not together? If nothing happens, download GitHub Desktop and try again. Please GitHub - qalhata/NetworkX_Tutorial: Overview of NetworkX Implementation in Python master 1 branch 0 tags Go to file Code shabaka Delete NetworkX Build.py 3031d2f on Jun 14, 2018 3 commits NetworkX_Basic.py Add files via upload 4 years ago README.md Initial commit 4 years ago README.md NetworkX_Tutorial Overview of NetworkX Implementation in Python Instantly share code, notes, and snippets. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. After completing this tutorial, you will know: How to forward-propagate an input to calculate an output.The diagram below shows the architecture of a 2-layer Neural Network (note that the input layer is typically excluded when counting the number of layers in a Neural Network) Architecture of a 2-layer Neural Network Creating a Neural Network class in Python is easy. NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and function of complex networks. sign in This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. You signed in with another tab or window. Simulating Dynamics on a NetworkX Graph (Optional).ipynb. (Note: Python's None object should not be used as a node as it determines whether optional function arguments have been assigned in many functions.) NetworkX; networkx; networkxmatplotlibxy CSVPython networkX matplotlibnetworkx Read more. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. You signed in with another tab or window. With NetworkX you can load and store networks in standard and nonstandard data formats, generate many types of random and classic networks, analyze network structure, build network models, design new network algorithms, draw networks, and much more. GitHub Gist: instantly share code, notes, and snippets. Instantly share code, notes, and snippets. If nothing happens, download Xcode and try again. Reference Section provides details on NetworkX. Passing a string to agedge in agraph.py. networkx-tutorial.ipynb. An introductory tutorial to NetworkX using IPython notebooks. 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There was a problem preparing your codespace, please try again. Expertise in Python Scripting using Pandas, visualization using Matplotlib and NumPy for structuring data. A tag already exists with the provided branch name. A tag already exists with the provided branch name. mrpowers July 25, 2020 0. install manually from http://pypi.python.org/pypi/networkx or use built-in python package manager, easy install $ easy install networkx or . An introductory tutorial to NetworkX using IPython notebooks. We provide a set of comprehensive tutorials for users to get started with GraphScope. Clone with Git or checkout with SVN using the repositorys web address. It is mainly used for creating, manipulating, and study complex graphs. http://nbviewer.ipython.org/github/dataminingapp/dataminingapp-lectures/blob/master/Lecture-17/GraphAnalysis-I.ipynb http://nbviewer.ipython.org/github/dataminingapp/dataminingapp-lectures/blob/master/Lecture-18/GraphAnalysis-II.ipynb. Are you sure you want to create this branch? Highly capable in writing Python scripts to design ETL pipeline and Directed Acyclic Graph (DAG) workflows using Apache NiFi, Airflow. Graph () # add some nodes in the graph G G. add_node ( 1) G. add_node ( 2) G. add_node ( 3) G. add_node ( 4) G. add_node ( 5) # list of all nodes added print ( G. nodes ()) # add edges between nodes Created 3 years ago. Learn more. import networkx as nx G = nx.Graph() nx.add_path(G, [1, 2, 3]) nx.add_path(G, [4, 2, 5]) print('Nodes:', G.nodes) print('Edges:', G.edges) Nodes: [1, 2, 3, 4, 5] Edges: [ (1, 2), (2, 3), (2, 4), (2, 5)] It is implemented based on NumPy and SciPy and therefore supports all common platforms.The analysis is presented in a step-by-step, tutorial-like fashion and makes use of the Python programming language together with the NetworkX . After the tutorial, I'll upload solutions to all the exercises. II. Sign up for free to join this conversation on GitHub . 1 branch 0 tags. python networkx igraph. Scipy >= 0.16 "image/png": 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DgAED8Oeff2Lt2rX4/fffsXjxYpsqJX/99RdGjBiBhx9+mKWEyJZIpcYF+Xxbt4imrnMn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\n/wO+I8GAE1KXVAAAAABJRU5ErkJggg==\n". ), then run make conda, which wraps the commands below. It is originally planned to last about 4 hours. This is the Part-I of the tutorial on NetworkX. To review, open the file in an editor that reveals hidden Unicode characters. This tutorial requires the following packages: If you have the Anaconda distribution of Python 3 installed on a Unix-like machine (Linux, macOS, etc. In the tutorials you could learn how to launch a session, to load graphs, and to run analytical analysis, interactive queries as well as graph neural network trainings using GAE, GIE and GLE in GraphScope. to use Codespaces. Clone with Git or checkout with SVN using the repositorys web address. Fork 0. NetworkX tutorial Raw networkx_tutorial.py import networkx as nx import matplotlib. Open a Terminal, and import the required packages: NetworkX Tutorial @ MSCX - Setup Instructions. networkx-tutorial.ipynb. GitHub Gist: instantly share code, notes, and snippets. Work fast with our official CLI. Jupyter >= 1.0 ceo21ckim / NetworkX-tutorial Public. Tutorial and examples at https://github.com/networkx/notebooks, You can also go through these IPython notebooks provided by @harrymvr Numpy >= 1.9 "image/png": 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TJ2LHjh0oKirCs88+i6NHj2LIkCFYuHAhvvjiC+h0OqHLJKIesJtg4ixpvzHO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\nGgwmREREZDUYTIiIiMhq/H+Ta5XgTQetBAAAAABJRU5ErkJggg==\n". , Python > = 2.7 Matplotlib > = 0.16 `` image/png '': `` 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gAED8Oeff2Lt2rX4/fffsXjxYpsqJX/99RdGjBiBhx9+mKWEyJZIpcYF+Xxbt4imrnMn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\n/wO+I8GAE1KXVAAAAABJRU5ErkJggg==\n.! Run make conda, which wraps the commands below to review, open the file in editor. Run make conda, which wraps the commands below simulating Dynamics on a NetworkX (! With SVN using the repositorys web address the repository: `` iVBORw0KGgoAAAANSUhEUgAAAiYAAAETCAYAAAACkc3FAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/wO+I8GAE1KXVAAAAABJRU5ErkJggg==\n '' `` 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gAED8Oeff2Lt2rX4/fffsXjxYpsqJX/99RdGjBiBhx9+mKWEyJZIpcYF+Xxbt4imrnMn\nvLB1AyZNuRd1dXUdHI6sAYuJnRMEAV988QXmzJmDkJAQpKamYvbs2SguLsZHH32EYcOG2dzlj//+\n97+IiIjAwoUL8X//939ixyGitpJKjQvyhfc2jhu5ckCrTGp8Pbw3pP17Im3zJgDA+PHjUVtbK0Jg\nsiReyrFTJ06cQGpqKlJTU+Hi4oKZM2fi2LFj6NKli9jRrskvv/yCuLg4LF26FHPmzBE7DhFdC29P\n4+PSjK56vXGeEne3RmVFLpdj69atmDZtGsaMGYOdO3fC3d1dxODUkXjGxI5UV1dDpVJh5MiRuPnm\nm3H27Fls2rQJP//8MxYtWmTzpeSnn35CdHQ0/v3vf7OUENkTmdQ4zXxnhfF/TdwSLJPJkJaWhqCg\nIIwaNQpVVVUiBCVLYDGxcQaDAbm5uUhOTkZISAg+++wzzJ07F8XFxXj//fcxZMgQm7tUY8p3332H\nuLg4vPPOO5g+fbrYcYhIBFKpFOvWrUPPnj0RHx+PyspKsSNRB2AxsVGFhYVYsmQJunfvjvnz5yM8\nPBzHjx/Hrl27MGHCBLtaSfc///kPRo8ejQ8//BCTJk0SOw4RicjZ2RmrV6/GoEGDEBMTg/LyZtbV\nIZvEYmJDKisrsWbNGtx+++0YNmwYqqursXPnTvz444+YP38+AgICxI7Y7g4ePIg777wT69atw7hx\n48SOQ0RWwMnJqWHyx6ioKJw7d07sSNSOWEysnF6vR1ZWFqZMmYJu3bph7969WLRoEYqLi/HWW28h\nPDxc7IgdJicnB+PHj8fGjRsxevRoseMQkRWRSCRYsWIFEhMTERkZiZKSErEjUTvhXTlW6tdff4VK\npcKGDRsQFBSE5ORkvPfee1AqlS3vbAf27t2LGTNm4LPPPsOIESPEjkNEVkgikeDll1+Gq6srIiIi\nkJOTg5CQELFj0TViMbEi5eXl2Lx5M1QqFU6dOoVp06Zh37596Nu3r9jRLGrXrl24//77sXPnTtx2\nm5lVRomI/rZkyRLI5fKGchIaGip2JLoGLCYi0+l02Lt3L1QqFbKysjBq1CgsXboUsbGxkEod78ez\nbds2zJ07F3v27MHNN98sdhwishGLFi2Cq6srIiMjsX//foSFhYkdia6S473zWYmffvoJKpUKaWlp\n6NGjB5KTk/HRRx/Bx8dH7GiiSUtLw8KFC7Fv3z7cdNNNYschIhvz+OOPQy6XY+TIkcjOzkbv3r3F\njkRXgcXEgs6dO4eNGzdCpVJBrVZj+vTpKCgoQK9evcSOJrq1a9diyZIlyMnJQZ8+fcSOQ0Q26sEH\nH4RcLkdUVBSysrLQr18/sSNRG7GYdLD6+nrs2bMHKpUK+fn5GDNmDF577TWMHDkSzs7OYsezCh9+\n+CGWL1+OvLw89OzZU+w4RGTjZs6cCRcXF8TExCAzMxMDBw4UOxK1AYtJBxAEAd9//z1UKhU2bdqE\nPn36IDk5GampqejUqZPY8azK22+/jXfeeQf5+fno0aOH2HGIyE5MmTIFcrkcCQkJyMjIwNChQ8WO\nRK3EYtKOzpw5g7S0NKSkpKCmpgYzZszA119/zTdcM1599VWsWbMG+fn56Natm9hxiMjOTJgwAS4u\nLkhKSkJ6ejqGDx8udiRqBU6wdo1qa2uxdetWjB49Gn369MEvv/yCVatWobCwEEuXLmUpMUEQBPzr\nX//CunXrUFBQwFJCRB1mzJgxWL9+PcaNG4e8vDyx41Ar8IzJVRAEAV9//TVSUlLw6aefYuDAgUhO\nTsann34KDw8PseNZNUEQ8NxzzyEjIwMFBQV2OY0+EVmX+Ph4bN26FZMmTUJaWhri4uLEjkTNYDFp\ng1OnTmH9+vVQqVQQBAEzZ87EDz/8gOuuu07saDZBEAQsWLAAeXl5yMvLg6+vr9iRiMhBjBw5Eunp\n6Rg/fjzWrl2LpKQksSORGbyU04KamhqkpaUhNjYWN910E06ePImUlBQcP34czz77LEtJKxkMBjz6\n6KP44osvkJuby1JCRBZ3++23Y/fu3bjvvvuwfft2seOQGTxjYoIgCDh48CBUKhW2b9+OW2+9FXPm\nzMGuXbvg5uYmdjybo9fr8eCDD+K3337D/v37eWcSEYlm6NChyMzMxOjRo1FfX4/JkyeLHYmuwGJy\nmb/++gupqalITU2Fq6srZs6ciZ9//hldunQRO5rN0ul0mDVrFoqKirB37154enqKHYmIHNygQYOQ\nnZ2N+Ph41NXVITk5WexIdBmHLyZVVVXYtm0bVCoVjh07hnvvvRdbtmzB4MGDIZFIxI5n07RaLaZO\nnYrKykrs2bMH7u7uYkciIgIA9O/fH7m5uYiNjUVdXR0eeOABsSPR3xyymBgMBuTl5UGlUmHXrl2I\niIjA448/jsTERMjlcrHj2YW6ujrcc8890Ov12LlzJ1xdXcWORETUSO/evZGXl4fo6GjU1dXhscce\nEzsSwcGKyX//+1+oVCqsX78enTt3RnJyMlasWAF/f3+xo9mVixcvYsKECXBzc8PWrVvh4uIidiQi\nIpPCwsJQUFCAqKgo1NXVYeHChWJHcnjWU0y0OuDCRUCvB5ydAQ83QHbt8TQaDbZu3QqVSoXCwkJM\nnToVu3bt4uq1HeTChQsYO3Ys/P39kZqaCqnUev4vRkRkSmhoKAoKChAdHY3a2losXrxY7EgOTfx3\nDU0VUFoGqCsAnf6f12VSQKkAApWAt1ebDqnX65GdnQ2VSoXMzEzExMTg6aefRkJCAmQyWTt/A3RJ\nVVUVEhMTcf311+Pjjz/mIoVEZDO6du3aqJy89NJLHGcoEvGKiU4HHD8BqDWmP6/VASVq48NXAfQK\nBVr41/cvv/zScKkmJCQEycnJeP/996FUKts9PjWm0WgwatQoDBgwAB988AGcnDhFDhHZlqCgIOTn\n5zcMiH3ttddYTkQgzruHTgccLTRfSq6k1gDHCo37XaGsrAwrV67E0KFDERsbCwDYv38/Dh8+jEcf\nfZSlxALKy8sRExODoUOH4sMPP2QpISKb5e/vj9zcXOTl5eHxxx+HwWAQO5LDEecd5PgJ4Hx1w9PU\nnL0Y+69ncOMDU/HkJ6tM71NZbdwPxttQMzIyMHHiRPTo0QNffPEFXnzxRZw8eRKvvvoq+vTp0/Hf\nAwEAzp07h5EjRyIqKgpvv/02/3VBRDZPqVRi//79+Pbbb/HQQw+xnFiY5YuJpqrJmZIAhQ8eHTMe\nE28f2eyuglqDd156GSEhIXjllVcQFxeHkydPYtOmTUhISOBASws7c+YMIiMjMXbsWLz66qssJURk\nNxQKBbKysvDbb79h1qxZ0Ov1Le9E7cLy7+SlZU1eih98CwDg6Ik/UFJRbnZXCYDbuvfEwYMH0bNn\nz45KSK1QVFSEqKgoJCcn47nnnhM7DhFRu/Py8kJmZibGjh2LadOmITU1lTdQWIBlz5hodca7b67B\n0B43oGf3Hu0UiK7GiRMnMGLECDz44IMsJURk1zw8PJCRkYHKykrcc889qK+vFzuS3bNsMam52PiW\n4Kuh1RmPQ6IoLCxEREQEFixYgAULFogdh4iow7m5uSE9PR0GgwHjx49HbW2t2JHsmmWLybWWkkt4\nrU8Uv/32GyIjI7F48WI8+uijYschIrIYuVyOTz/9FO7u7rjzzjtRU1MjdiS7ZdliIm2nCbc4cZfF\nHT16FFFRUXj55Zdx//33ix2HiMjiZDIZNm7ciICAAIwePRrV1dUt70RtZtli4u5mspzo9HrUaeth\nMBhgMBhQp62HztxZEZnUeByymO+//x6xsbF48803uTw4ETk0qVSKlJQUhIWFIT4+HpWVlWJHsjuW\nLSYyKeDr0+TllRnb0efB6fjw853Y8dVB9HlwOlZmbDd9DKWiXdbQodb5+uuvMWrUKHzwwQeYPHmy\n2HGIiETn7OyMjz76COHh4YiJiUF5ufm7SantJIIgCKY+odfrceTIEYSHh7fvmieaKuDH41e/f3hv\nwNuz/fKQWV988QXGjx+PdevWITExUew4VkcikcDMrw8ROQBBELBgwQLk5eUhKysLfn5+YkeyCS31\nC8tPsKbwMq59czV8FSwlFpKbm4u77roLGzZsYCkhIjJBIpHgjTfewKhRozBy5EiUlJSIHckuiDMl\nfa/QthcMb0/jftTh9u3bh3vuuQeffvop4uLixI5DRGS1JBIJXn75ZUyaNAkREREoLi4WO5LNE2ew\nhlQK9AtrfnXhy7VydWG6dhkZGbjvvvuwc+dODBs2TOw4RERWTyKR4Pnnn4dcLseIESOQm5uLbt26\niR3LZon3Ti+VAn3DjIvzlaiBMo1x8rRLZFLjQNdAX16+sZDPPvsMjzzyCPbs2YMhQ4aIHYeIyKY8\n9dRTcHV1RUREBHJycnD99deLHckmiX8KwtvT+Ph7RteEuDjszcoy3hLMu28sZuPGjViwYAH27duH\n8PBwseMQEdmkefPmQS6XIzIyEvv370evXr3EjmRzrOedXyYFvL2w7/B/AG8vsdM4lHXr1mHx4sXI\nzs5Gv379xI5DRGTTHnroIcjlckRFRSErKwt9+/YVO5JNsZ5iQqJYvXo1li1bhtzcXDZ7IqJ2MmvW\nLMjlcsTExCAzM5NnotuAxcSBvfPOO3jrrbeQn5/Pa6FERO1sypQpcHFxQXx8PHbv3s2xe63EYuKg\nXnvtNaxevRoFBQUcPU5E1EEmTpwIuVyOxMRE7Nixg3c7toI485iQqF566SWsXbsWBw4cYCkhIupg\nY8aMQWpqKsaOHYuCggKx41g9FhMHIggCFi9ejC1btiA/Px/BwcFiRyIicggJCQnYvHkzJk6ciOzs\nbLHjWDUWEwchCAKefPJJ7NmzB/n5+QgMDBQ7EhGRQ4mOjsb27dsxdepU7NmzR+w4VovFxAEYDAY8\n9thjOHDgAHJycuDr6yt2JCIih3THHXdg165dmDVrFtLT08WOY5U4+NXOGQwGPPjgg/jll1+QnZ0N\nb29vsSMRETm0W2+9FZmZmUhMTER9fT3uuecesSNZFRYTO6bT6TB79mycOnUK+/btg6cnp/YnIrIG\ngwcPRlZWFuLj41FXV4cZM2aIHclqsJjYKa1Wi+nTp6O8vBx79uyBu7u72JGIiOgyAwYMQG5uLmJj\nY1FXV4f7779f7EhWgcXEDtXV1WHy5Mmor6/Hrl274OrqKnYkIiIy4cYbb0ReXh5iYmJQV1eHuXPn\nih1JdCwmdqa2thYTJkyAXC5Heno6XFxcxI5ERETNuOGGG5Cfn4/o6GjU1dVhwYIFYkcSFYuJHamp\nqcHYsWOhVCqxfv16yGQysSMREVErdO/eHQUFBYiKikJtbS2ee+45sSOJhsXETlRVVSEpKQmhoaFY\nu3YtnJ2dxY5ERERt0LVrVxw4cADR0dGora3Fiy++CIlEInYsi+M8JnagsrIS8fHx6NmzJ9atW8dS\nQkRko4KCgpCfn4+dO3fiqaeegiAIYkeyOBYTG1deXo6YmBgMHjwYq1evhpMTf6RERLbM398feXl5\nyMnJwbx58xyunPBdzIadO3cOUVFRiIiIwLvvvstSQkRkJ5RKJXJycnD48GE89NBDMBgMYkeyGL6T\n2aiSkhJERkYiKSkJr7/+ukNehyQismcKhQLZ2dn49ddfMXv2bOj1erEjWQSLiQ0qKipCREQE7r33\nXixbtoylhIjITnl5eSEzMxOnTp3CtGnToNVqxY7U4VhMbMyJEycQERGBOXPmYPHixWLHISKiDubh\n4YHdu3dDo9E0TJ5pz1hMbEhhYSEiIyPxxBNP4MknnxQ7DhERWYibmxt27NgBnU6HCRMmoLa2VuxI\nHYbFxEb89ttvGDlyJJ599lk89thjYschIiILk8vl2LZtG9zc3DB27FjU1NSIHalDsJjYgGPHjiEq\nKgrLli3DAw88IHYcIiISiUwmw8aNG+Hn54ekpCRUV1eLHandsZhYuR9++AExMTF44403kJycLHYc\nIiISmVQqhUqlQvfu3ZGQkIDz58+LHaldsZhYscOHDyMhIQGrVq3CvffeK3YcIiKyEs7OzlizZg0G\nDBiA2NhYVFRUiB2p3bCYWKlDhw4hKSkJn3zyCcaPHy92HCIisjJOTk5YuXIlhg0bhujoaKjVarEj\ntQsWEyuUn5+Pu+66Cxs2bEBSUpLYcYiIyEpJJBK8+eabiI+Px8iRI1FaWip2pGvG1YWtTFZWFqZN\nm4atW7ciMjJS7DhERGTlJOVlhjcAABOCSURBVBIJli9fDldXV0RERCAnJwfBwcFix7pqLCZWZPfu\n3Zg9ezbS09MxfPhwseMQEZGNkEgkeOGFF+Di4oKIiAjk5ubiuuuuEzvWVWExsRLbt2/Hww8/jN27\nd2Po0KFixyEiIhv0zDPPNDpz0qNHD7EjtRmLiRXYvHkznnjiCezduxcDBw4UOw4REdmw+fPnQy6X\nIzIyEvv370fPnj3FjtQmLCYiU6lUeOaZZ5CdnY3+/fuLHYeIiOzAI488ArlcjpEjRyIrKwt9+/Zt\nupFWB1y4COj1gLMz4OEGyMSvBeIncGAfffQRXnrpJeTm5qJ3795ixyEiIjty3333QS6XIyYmBnv3\n7sVNN91k/ISmCigtA9QVgE7/zw4yKaBUAIFKwNtLnNBgMRHNe++9hxUrViAvLw9hYWFixyEiIjs0\nbdo0yOVyxMXFITNjDwZ5KAC1xvTGWh1QojY+fBVAr1BAavmawGIighUrVuCDDz5AQUEBQkNDxY5D\nRER27O6774a7ixy13x4F+rZyyIBaA2gLgX5hFi8nLCYWtmzZMqSmpqKgoAAhISFixyEiIgeQGNYH\nUJg5U2JOZTVw/ATQ17Jn9VlMLEQQBCxZsgTp6ekoKChAUFCQ2JGIiMgRaKrMX75piVpjLCjenu2b\nqRksJhYgCAIWLVqE7Oxs5Ofnw8/PT+xIRETkKErLTL784Z4d2HIgF2XnKxHUWYn/Gz8Z8YNNzKNV\nomYxsScGgwHz5s3DV199hdzcXHTu3FnsSERE5Ci0OuPdNyZc5x+AzU8vhZ+3Ap9/+x8sWPM+Bl7/\nDvwVPo03LNMYj2OhW4m5iF8HMhgMeOihh/Ddd98hJyeHpYSIiCyr5mLjW4IvM3rIbQjw6QwnJyck\nDR2G0IBA/PhXYdMNtTrjcSyEZ0w6iF6vx+zZs3HixAns27cPXl7i3RNOREQOykwpAYDthwqwNmsP\nitTnAAA1dbWoqKoyvbHe/HHaG4tJB9BqtZgxYwbUajUyMzPh7u4udiQiInJEUmeTLxerz+E51UdY\nv3AJBob1hLOTE5JeWAQBgunjOJs+TkdgMWln9fX1mDx5Murq6pCRkQFXV1exIxERkaNydzOWkyvO\nnNTU1QGQoLNXJwDAtoN5+L34lOljyKTG41gIi0k7qq2txcSJEyGTybB9+3bI5XKxIxERkSOTSQFf\nH+OdNZe5ITgE98UnYeLyxXCSOOGuYSMwOKyX6WMoFRZdQ4fFpJ3U1NRg3Lhx8PHxwYYNGyCTycSO\nREREBAQomxQTAFg4YTIWTpjc8v6Bvh0QyjzeldMOqqurkZiYiMDAQKSlpbGUEBGR9VB4Gde+uRq+\nCovOYQKwmFyzyspKxMfHIywsDOvWrYNUhAWPiIiImtUrtO0Fw9vTuJ+FsZhcg4qKCsTGxmLgwIFY\nvXo1nC04apmIiKjVpFLjgnytPXPiqxBlAT+AY0yumlqtRmxsLKKiorBixQpIJBKxIxEREZknlRoX\n5KusNo45uTSj6yUyqXGga6CvxS/fNIop2le2YaWlpYiOjsbYsWOxbNkylhIiIrId3p7Gx6UZXfV6\n4zwl7m4WvfvGHPET2Jji4mJER0dj6tSpWLJkidhxiIiIro5MCnhb36zkHGPSBidPnkRERARmz57N\nUkJERNQBWExa6Y8//kBERAQee+wxLFq0SOw4REREdonFpBWOHz+OyMhIPP3005g3b57YcYiIiOwW\nx5i04Oeff0ZcXByWLVuGWbNmiR2HiIjIrrGYNOPIkSMYNWoU3njjDUyZMkXsOERERHaPxcSMb775\nBklJSVi5ciUmTpwodhwiIiKHwGJiwpdffolx48bhk08+wZgxY8SOQ0RE5DBYTK5QUFCAiRMnYv36\n9UhISBA7DhERkUPhXTmXyc7OxsSJE7FlyxaWEiIiIhGwmPxtz549mDp1KtLT0xEVFSV2HCIiIofE\nYgIgPT0ds2fPRkZGBm6//Xax4xARETkshy8mW7ZswcMPP4zMzEzccsstYschIiJyaA5dTFJTUzF/\n/nxkZ2dj0KBBYschIiJyeA5bTNasWYNnn30WOTk56N+/v9hxiIiICA56u/D777+P119/Hfn5+QgL\nCxM7DhEREf3N4YrJG2+8gZUrV6KgoAChoaFixyEiIqLLOFQxWb58OVJSUlBQUICuXbuKHYeIiIiu\n4BDFRBAEvPDCC9i2bRsKCgoQFBQkdiQiIiIywe6LiSAIePrpp7F3717k5+fD399f7EhERERkhl0X\nE0EQ8MQTT+DQoUPIzc2FUqkUOxIRERE1w26LicFgwCOPPIIff/wR+/fvh0KhEDsSERERtcAui4le\nr8ecOXPwxx9/ICsrC15eXmJHIiIiolawu2Ki0+kwY8YMlJaWIjMzEx4eHmJHIiIiolayq2JSX1+P\nKVOm4MKFC9i9ezfc3NzEjkRERERtYDfFpLa2FnfffTecnJywY8cOyOVysSMRERFRG9nFWjk1NTUY\nO3Ys3NzcsG3bNpYSIiIiG2XzxaS6uhpJSUnw8/PDxo0bIZPJxI5EREREV8mmi8n58+eRkJCA7t27\nQ6VSQSq1mytTREREDslmi0lFRQViY2MxYMAArFmzBs7OzmJHIiIiomtkk8VErVYjOjoaw4YNw8qV\nK+HkZJPfBhEREV3B5t7RS0tLMXLkSMTHx+PNN9+ERCIROxIRERG1E+spJlodoKlCwtDbAE2V8fkV\niouLERERgYkTJ2L58uUsJURERHZG/NGimiqgtAxQVwA6PTJfexf48TggkwJKBRCoBLy98L///Q9R\nUVGYM2cOnn76abFTExERUQcQr5jodMDxE4BaY/rzWh1QogZK1Kh2kyEx+V7MnTsXTzzxhEVjEhER\nkeWIU0x0OuBoIXC+ulWbe17UYt8b76NL3IgODkZERERiEqeYHD/RqJTUabV4Yf0nOPTrUVRWV+M6\n/wAsnHAvIgcMbNimi0cn4359wyyfl4iIiCzC8oNfNVVNLt/oDXoEdVZi01Mv4MjKdfi/u+7B4x+8\njSL12cb7qjVAZevOshAREZHtsXwxKS1r8pK73BXzxt2NEF9/ODk5ISp8MEL8/HHsxF9N9y9RWyAk\nERERicGyxUSrM9590wJ1pQZ/lZzBDcEhTT9ZpjF5KzERERHZPssWk5qLgE7f7CZanQ7zP3oP44eP\nwPVBwaY2MB6HiIiI7I5li0kLpcRgMGDBx+9DJpVi6dTZ5jfUN38cIiIisk2WLSZS8wvtCYKAp9d9\nCPX5Sqx6dAFkza0UzAX7iIiI7JJli4m7m9lysmT9x/jjTDHWPP4UXF1czB9DJjUeh4iIiOyOZecx\nkUkBX58md9YUq89hU/5+uEhluHX+Aw2vL5txP8bedkfjYygVxuMQERGR3bH8O3yAskkxCfb1wx9r\nt7Ru/0DfDghFRERE1sDy85govABfxdXt66sAvD3bNw8RERFZDcsXEwDoFdr2guHtadyPiIiI7JY4\nxUQqBfqFtf7Mia/CuH1zd+oQ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