{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Classify Data ###\n", "\n", "*Create a classifier for different kinds of plankton using supervised machine learning* \n", "\n", "Executing this Notebook requires a personal STOQS database. Follow the [steps to build your own development system](https://github.com/stoqs/stoqs/blob/master/README.md) — this will take about an hour and depends on a good connection to the Internet. Once your server is up log into it (after a `cd ~/Vagrants/stoqsvm`) and activate your virtual environment with the usual commands:\n", "\n", " vagrant ssh -- -X\n", " cd /vagrant/dev/stoqsgit\n", " source venv-stoqs/bin/activate\n", " \n", "Then load the `stoqs_september2013` database with the commands:\n", "\n", " cd stoqs\n", " ln -s mbari_campaigns.py campaigns.py\n", " export DATABASE_URL=postgis://stoqsadm:CHANGEME@127.0.0.1:5432/stoqs\n", " loaders/load.py --db stoqs_september2013\n", " loaders/load.py --db stoqs_september2013 --updateprovenance\n", " \n", "Loading this database can take over a day as there are over 40 million measurments from 22 different platforms. You may want to edit the `stoqs/loaders/CANON/loadCANON_september2013.py` file and comment all but the `loadDorado()` method calls at the end of the file. You can also set a stride value or use the `--test` option to create a `stoqs_september2013_t` database, in which case you'll need to set the STOQS_CAMPAIGNS envrironment variable: \n", "\n", " export STOQS_CAMPAIGNS=stoqs_september2013_t\n", "\n", "Use the `stoqs/contrib/analysis/classify.py` script to create some labeled data that we will learn from:\n", "\n", " contrib/analysis/classify.py --createLabels --groupName Plankton \\\n", " --database stoqs_september2013 --platform dorado \\\n", " --start 20130916T124035 --end 20130919T233905 \\\n", " --inputs bbp700 fl700_uncorr --discriminator salinity \\\n", " --labels diatom dino1 dino2 sediment \\\n", " --mins 33.33 33.65 33.70 33.75 --maxes 33.65 33.70 33.75 33.93 --clobber -v\n", "\n", "A little explanation is probably warranted here. The Dorado missions on 16-19 September 2013 sampled distinct water types in Monterey Bay that are easily identified by ranges of salinity. These water types contain different kinds of particles as identified by bbp700 (backscatter) and fl700_uncorr (chlorophyll). The previous command \"labeled\" MeasuredParameters in the database according to our understanding of the optical properties of diatoms, dinoflagellates, and sediment. This works for this data set because of the particular oceanographic conditions at the time.\n", "\n", "This Notebook demonstrates creating a classification algortithm from these labeled data and addresses [Issue 227 on GitHub](https://github.com/stoqs/stoqs/issues/227). To be able to execute the cells and experiment with different algortithms and parameters launch Jupyter Notebook with:\n", "\n", " cd contrib/notebooks\n", " ../../manage.py shell_plus --notebook\n", " \n", "navigate to this file and open it. You will then be able to execute the cells and experiment with different settings and code.\n", "\n", "---" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Use code from the classify module to read data from the database:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from contrib.analysis.classify import Classifier\n", "c = Classifier()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Build up command-line parameters so that we can call methods on our Classifier() object `c`" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from argparse import Namespace\n", "ns = Namespace()\n", "ns.database = 'stoqs_september2013_t'\n", "ns.classifier='Decision_Tree'\n", "ns.inputs=['bbp700', 'fl700_uncorr']\n", "ns.labels=['diatom', 'dino1', 'dino2', 'sediment']\n", "ns.test_size=0.4\n", "ns.train_size=0.4\n", "ns.verbose=True\n", "c.args = ns" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "Load the labeled data, normalize, and and split into train and test sets (borrowing from classify.py's createClassifier() method)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "count = 100 for label = diatom\n", "count = 66 for label = sediment\n" ] } ], "source": [ "from sklearn.preprocessing import StandardScaler\n", "from sklearn.model_selection import train_test_split\n", "X, y = c.loadLabeledData('Labeled Plankton', classes=('diatom', 'sediment'))\n", "X = StandardScaler().fit_transform(X)\n", "X_train, X_test, y_train, y_test = train_test_split(\n", " X, y, test_size=c.args.test_size, train_size=c.args.train_size)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Setup plotting" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "import pylab as plt\n", "from matplotlib.colors import ListedColormap\n", "plt.rcParams['figure.figsize'] = (27, 3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot classifier comparisons as in http://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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GTHuXC/vXnzLHBTHLAGoxAze5IvsaMf3tUOR9kTw3AHepahumv36ZiBTTyuYEExHxCsZg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JAAAg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\nO05OnWtqOkdWrMU0HGgz4qVhm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yKnuQ5FWjSnZVGZXxhTI/QcRg7nwXJyV21ECdhz32hj\nsrTOdpyRgwgpqRhbHOMCic0JBybMoCEjl3G1R1GlRXXOWBoyck9qVqB1++3g9aI89xzi2DHkzJkY\nn/kMjEAu5RyGQF0j+vceQtQ12oYUiS0bMay/rGlAffNdRFsHxlc/PdgmErQRa/Fcwn/8Meprq6Gx\nBWvhbKxLF4Pj+MmpeGidfT4l9/w7hS/9g6SaKvx5BRy5/dM0zz95Wbb/SlBMkwV7N9kVlJaFMsJm\numDbmMOIkN9US5Lfx5Y5Swb7mQRtrMuTzNuLrmZ8bQWpnW20J6dxtKCISIx+IycKIaebfZNmMb6m\ngjRfOxFV52hBUdyqz6GQKMkqNEdvjxfRqfLYpm4N2zMgiXu42HfEkBLxnftRXn6tW7JEDOrFAAms\nLQ0Dse49lIpKrD/9FiYWDThoaMIVutcryQ4a1qzD8/yzOFe9jTF2LP5PfQZzwsSRP1uicDrpuP+H\neP7+JI5160BRCFx3PYHbPhZXwiUezmW5xsbUF//O/L/8Gt3XgVRVlBgaq4m8Xnm7t+Gtqybi9nBs\n6aWDD0gw7l/1w18z7r01THzrVQyni0M3fISGWdENAk8E4dofK676GO2pWZy/6130SJjDxbN498Ib\n8XuShz/5NOOUrkyEorLRO4fFPrtUzG6yRV/Wq5Qs3rUedzjQS1KM3DX2GZyQkoKGasrGTSbkjC1w\n3oP+2qw9jqN/Fqv1H19I6N4DSdcRZbv2QAj2jp/J3vEzz2k7jQLD7V4qX/oGYuuO3kZHkqH16YaE\nZSG27YAt22DZ0hGd2p/QsnJz8X3z26MZwahhTJ1Gx49+MqSNnSNdB2MoyYEeOFa+h2v/od7g/nhs\nTBgWorYBZeV6rI/dNGSwOCQZ63Zi3nQ53HT5oGPjvStDka5DBUU9P1u5uZR+9kuUSmmX+Y9gLusR\nzz+H2EjtaGXGkX0I+jKkR+svFdPCGQkzqeoQW2IRrwlfTFCXXUBd9uCd7pMFU9U4WjCBo/lFvWM4\nhxMDEQyR/feXEOG+TOpR2xgSxTIpqj7C0YIJsUtwE0RraiatqSewJHQ4KArWzTdj3XzzuZjsJMDx\n3V8gKmt7pb2ONyZTNu5EfLQBOWb0pa1yTC7G3beP+vzRoPW8+bSeN/+cjZ0EzDqwk6y2xqi1ZSwb\nS+RbF1KS2tVOdks9daMgLXsQdjg5XDh11OePBn63l9LiWQlVfUJ8ghUYFcm64Z34klynEidDWkA8\n9yLKE0/Z60JG5yt7ETEQ1TWIJ/6O/K/vDHt4XDkwlwv/HZ/Af8cnjmc0I4KVkYnvS1+FL37F/o9R\nzGXn1p6xkVxVzoW/uB+lX+P3UcdkkTBOn485f/tjbOI14YsJqpZeRtXSaK3hE0229oehO1h/4Q2s\nX3p97xjOFpxi4nXoJlvZrQ24w8GozLChSj+GQ09DEK+/Mybx2p9s3T3zFugn1NtDDvciYiD2H4Jj\ntZCVjpw9HdyuqENOCOk6EGeRMZ0JGNaZNjYhVqyK6i4/agcphK39FgwiduxGjoB4jUloSYlWuh9t\n3z5kspfIwguwMk7B4vIc6ZowhpIc6NV5lRLXS2uiMiqOKwhTBFIRaBX1mMPpFQ/4THY0DyZja+oQ\nu/fCgTpYciGMG9wsaThN15HYRs8x7x5tB0hIZ/VkSQK8n2x52pF9QLRvHK2/lIrAUFRSujpOyNj0\nSJj09mZ006AjKcXWhT3ZvuycrzzhSNq6BzFAvuK4YjJVwxkJ4QgHCbmOLz5STJP09mZc4SB+dxJt\nyenHReYmjHN2dkIhDhxBHKuL6qdwXP7S4QB/AFFWeVzEK2BLDRw+ijhWB2kpWNOLwTN0EscJwTkb\nO6FQDYPx9ZUx15ajgRQCYVmktbccF/FqX0ziDfhI6WzDVFRaUzMIO1zDn3e8iGFjw2WxQnySFbCJ\n1gHOYsOawUTrwAbTJSMd+3HghGe59oPyk18MWluOGkKAriO27RzWThPpwaDU1eHYuhkiBpG5czGL\nJpyxMdm5tWd8zPu/R6JIVziOmEwohN2e3uZcxwvd10Hunu3s2XGEY7mFiIJJZKac5LnsLPSVp6UW\nr3/WK9gE6JpfryS9o9VulBED/Y1qOJF9CVhCAWE7yIHaNZd+5Sq0JTeyvUNlcVe3UxAKSrcWrGUY\nbPTOYUGmYjcD8wdQHvk/RGU1UhEIS0JaKubX7oLszN5nAnqvcUJI13MYERLZwRR7S0DXYUCX7VgT\nV0ITmdttd9FNT7ycNibpall4f/cIjjWr7WZsAuRjf6Xz298hMufkaT7FwznHFx+xJAeidF67AjG7\nH4/WxqTHhYhYWKkpIw4UBx4v3liBePzvfeVPz7+O/MTtyBuv6z3mRJKu/dFfZzUR8vWc7Q2NVF97\nQrpOw9mYBCKajpCSyBASOokixdfOtCMlKNKiJw23KT2bw+OnnJVB0r8yXOWViDirvpHGZBFVQ1gW\nllCwjpMgdYaDzDi8F2ckiEQgkHS5veyfOPOEaBWew6mDUnokJgM20F8OZ2OA3RRLVQCBTEka6sjh\nEQ6j/vV5lPIqOylDWihJHsy7bkXmnZxmgedwcpDs70QK0Zfl2Y3RxmSGqqJbJsbxapdLSWFNOflN\ntb33Layt4ND4qbSmnZyki1jkag+Kb4vWrB6WZIWoL8vr1FixYmfUNQaSrKcTJ6WBVg+khKrYHdVH\nbGNCQEqyLYOXGr90OtGmt453VuP93W/AtOwb//0JAh/6CIHb7zijYrKzfd3Z1hXmpU1V3LJo3Em7\nR/a+nQkRrInE/SFvMqoRwXAf/zu65ZUNfPK1P+IKBblGUxDS4siEmbxy42ej+iydw2kgXhVNw+qn\nR+EpKsZfUQZA0OnCFEpMwXPoC7zCmoZqWijSivqsv5GFNR3NMAg5nIS6neOEwr4Sie2dOkJV+5pg\nKX1C0z3k6dZmA7xzyFnxDJMaOrAmT++7V109rNyKcd+3eh2Somnc9dPXUM6ceexfBok6VFmQF/ez\nqB1wlws0FdnlHxSs9SI1FXw+8CYhJ01MqDwsXum2vn0bjtWrsMaM7dXBEb5OvL/6Ja3/+2ebLD5F\n+Fcr8R5OwzQWhOagzoiT9Xp4ly1cb8bWduqxJikEltOBGhxCfN/jRkhhX2/ZRfaGwWhF8RsaEU88\nBVlZfVp1kQjiyWeQC+ZBXu6QgdyJCIoSIV/fdw2wThKCLjfuyGDbGegvQ7oDPRLukyQg2l9aQiAR\nqJZFbWoWimlijdLGhGUx6egBTFUhpHVnyUhJVlsjzWlZp7Y8/ByOG0Zm+pDluL02puropoFtSX2f\n9f+3qWpolkl7Umq/o0aHwppydCNMoF/WbJK/i4KGaioLio7r2udwaiGz0kHXYmrtR/lLj8v2qXE0\n+QGkNwm6ApDqRWamH9e4lM27UY5UInOy+uK6tg7U59/E+LePn1GExdkOp6OPEOzf8+NEIeh0xU3q\n6W9jllAwFYHWnZgR6zccVjU0w8BUNdqSUo9LFiK5q4P8ploCTlfvNVTTYFLVQbYnLzwunfLREqxA\nQiRrotmsZwwcdqb6SSFdwf79paVCW/vgj+i3tlQUuwFza1v8taXL2Z0cJJEXLoFIZNAaMFHSVbS3\n4/3D77DSM+x1LYBh4H7+WcKLFmNOjKG3fhpwtpOuAFo3+dNTYn8yCFhfwTjSq8oH/f/AmMyfloGr\nsx1hmrHjflXD0h2ooSA185eiBfyjImBf2lQFUvKl1U/h0FQ6U/O7byYpPrKPaaXb2Dfr/a9Tvu6d\n7Qkfe9poaKNwrp1N2o0JhVBpjGXmod1I04rp8ARgCgXFtFClhQT8Tg8BhwN3KIhmmSiWiZCgGxEs\nRcEUKpeHjmFMmoz1g58j3C6+8lYd6x5cbmcWAssuncWnlwz2Uj0EbNrG9TSlZGGF+o0qNQfn5p3s\nrwshnC6EIrjrp68BZ7DjeZ9iRLuYU6cgZ0yD7bF3jQQ2IYamQVeXnT2RloacXAzHqu2g3+ezs4D8\nfqQRgfQ0lId/hyyeiPzaFyErdoMiiO8knRvW2U6xXyaQ9Caj1NailR/BmHJqdKD+1UjX40V/yYHe\nrFdVxbzpCtQXVyIGZFZDXxAmNRU1GLIdpdOBMT4XzRe0yVBfwA7kDBM6u5CZ6YjX3kC8twnr61+E\nyZNGPFaxb78dzPVvEKLrYFm07S0nmDfphGe5xkIiTa7O2eDwOFg4jfl7N6ENUSViKmov6WoJhc6k\nZFTTRDUNHIZhHyUljkiYiKaR7O9kfslmygsm0pQ58jJdT9CPbhgEXf3Ki4TAVFSyWhvPEa9nGToX\nn4/3ve2IGJtIPTAVBc0ye4kNn8tDRNNxhkNopmFLrkiJHgljqiqqtJi/fxu12flU5heNmLQQlkVG\ne4tNVvRDyOEgu7VhEPGaef50zuHMhXXBeeBxIUPh+DGZotiVZqGwLb2TmY7MzkA0tkA4DMHujaUu\nP+g6VlYG+u//hjWtGPOj14N75A2LlO225FOUfaYm27IDnV2Q4h3tI5/DADgzUim+7UbKnnl1SMJw\ntKRs0OmmKT2H7Jb6uE1OJWApCpppIAFDc9DhTsYTDiAsE92MAALVMlGkJKC6KT52mILmWg4WTSM4\nTB+RWMjoaEEKomzMVLVeibz25KE3D4b6rtKmFMec+8T8q6PivK3NFrRHJx89vqV6EMnqdQzOZoWz\naL2raiePdO2G9cX/h/I/DyEikUGf9ZKvLpdNzioKOB3IGdOhuRlCYURbu03GWia0tSEzMhCr1yK2\n78T6yj0wa0bChGsP9P0ltv/uH5N1cxv6zh2nnXh9PxCu/dGjZdrkOznZr7s++W/k7diIHo69ASkB\nw+3B6esAKbE0ndaiSahGBM3fhbOr0yZjLQtneysRTxJJDbVc9l9f48BNH6XyoqtiXrc/+mu3Akwy\nO8j3tdCS1q8SRAj87iRmlG553xOvIyFd4TQRr4qmsbXZYHH3z/2bbFXmFVJcXRb/XGlhFxLZfzwh\nP0khPxZ25k5LSiaucAB3MEin24t36UwQCoHyVpofe4H6j3+a9Wv2oQrR6zDWrdkbk3jthaYhwqEB\n6wMJioJQVehHup4tEgO+xhQOrZ1JW00G7hQ/Ey8sJWdS7eke1ogxmtIR6xtfRv3k52N2mwRsx+fz\n2XGHYUJTs/1HCDvoXzAf6e9ClFXYJOvC+fYYyivgod8g//s/owKpRByldDhij0dK5GgzHEeIE026\ntjcr/OMPXrasduHyWFz3MT/X3OYfaWPLMxbx9F7VCbMwbrse9cUVQ56vRIy+LMRQGP1QtzNTFOTU\nSeB2Iw6X2+WTy5baJGl7B+Gf/IrWR36D9CbWvbF3bFqfHfnpI19VoYLDdUpI1x7omhIz63WkNhiJ\nwCt/TeLtFzyYBlx4XYAPf74Lj/e42hqcFajLysfUddRIfMLCJsRsKNIizWdnY0gEAacLvzsJr68D\n1TJpTs3EcDhRTJPiY4cJuD10jbBDqBSxlfME8rjLy08XpITaknFUbJpK2O8ko7CeSReV4Enzn+6h\nnXSYGWmEisbhKjsaN0dVtaI3yr1Bv71JDpiqSktKOkkBP45wkLbkVAJuL0JaFDRUE3S4aciKX4US\nD1LY8gL9M2cF0paY6kZ/UqJ/o1SwN/6FJ2XE9z2ZWL9e8KMfahw4IJgxQ/L9/zRYvPj9P4+haxgf\nuBrtr8/FzwCzLAiG7N+2JaGxBaWxxZ5vFAVr1mRo64D6JmR+NnJKEUiJsv8wvPq2Tb6OFJpm36s/\nesZ3imKyE43aSpVnfpPMvq0O0jItPvg5H0uvHSyLdMqRlIaYfzXxKKDmHftpO1g2JNEIQxOzB4qm\nkd1SP+T5Wj/tRNUIk9XZ3OvNWlMyUCyLJH8nEV2nJd1eczjDQaaVl7Bz6rwRbyJZQsQWmpVQUCDI\nyBj6/HjkKgwmWMEmWXuyWHswiGTFlgwARkW0RoI6ZeunUX9gHIpqMua8cooWHkJR3/9zmbzr0/A/\nDw19kN/f93X7A7C1m7RRVSieiMxIQ5QetO1i2RJwOsHnQ3ngl9Q9/HvISJx0BZCqioxlZJJeAvZ0\nYbRrC9OAN57ysOKZJEJBwaIrg3z0C50kp505NtZDwJ7o7NfaeYsJZOag1R6LG/frgX42ZllkHd5v\n/1PVCKSl01Y0ibSKMvRAF/Wz5xPMyEKJhJnx3BP4csfQMmVGzHvHa5ZltSsx5zFFWhjq2Sv9VLkj\nnd2vFeBvdZAzqZPzP3CM1Pxof9lDuhZlJRGfuYzGKX3resjJP993Q9xjCppqhtQJg0EbcQA2GSsl\nyQEfEU1HunRS8lKxgKa0QoTXwPfSq/xbZQaKqg1yHnf99LW442q57Cry/v4YIben17EeeG8Pmwqm\n8+gvVtr3F6dn5y/Q4aa1KgszrJGa30pybtuwvt/XmMLGxy/DjKiAQrjLza6XFjHtyp2MO6/iVAz7\nhGC0ej3K8y/HDfDj6YgJsM8xJezYhZw7B1JTbHW5ni88NwdRdgRZdQzG25NsoruToWWX4HprJRhG\nrzNUWlqwcrIxJ0wc0fONBkMRXr52Qck2By0NCmOLTaaeF2Y4aSu/T/DN27Joa1YwDQGoPPnLZA7v\n1fnyjweX4pytGEi+9mS9agfr7fJJc/Cu5JA2BvYi88Bhu8TIm2TvHJqKTbymZqLW1OLYs5fwRZcM\nO76esQGIOUvI0B/H8kfAoyOEAoEA6E4ic+cOOrd/yf/J2o3uIV+DQXj0ZT81FR5y8iUz5odJShk6\niJISfnpPBqU7dMIhe3yvP5nE9ndcPPjPJt7vUo8pXe2o/cqIYiGejQkk7lCQgNODVFUiqtKbCWSp\nKtIQ5DTXUz5C4tXv8hB0unGEQ4Qd3R2PpYViWjSl54zoWica0oKO+nTaa9PQXRHSxzXhSh6edChb\nP52KTVMxI/a8XFsynsayAi787EpcKYGTPezTC8vCVVE1ImGAXuICEKaJu3vT2tAdvXqxUihEdJ38\npuq4xGt8kkXB8meTXl1PJMltx2RS4ugK0zK5MOq8tCmnNptHSjh8WPDeewIpYdEiydSpctiYbOVK\nwW236gQC9oF1dfDeRp0Xno9wyaVnzmLyZEF9Z1NUc63+GCruF1IiTRPlSBUyJ9P2l/26tcvMDJSd\n+zFvvGLEWa/WBXNQ//m6LXHQI//U0o41uQiSTkGDrSHQ2qhQss2Br10wYbpB8YwIw1Wl1x9T+dZt\nWQT9AssStDaq/PY/U6mvVvng57pOzcDjwG/A9k4nctL1LMgcHGtkzb+azG3xN7Kbd9jEwoQhlr75\nm2ITFTB0TNbzf+kdrTSnZWJoencfBvuTsMOJKxgk2d9pN5GMg1jzmSM9C09nNQ6XhVTt51bCEXDq\nBNNSeuevobL2YxGs0E2yDtC9i0Wy9mSzQjTRaoZ1/LVj8FrpeNJ9pI9tRtUHV3D1h2kobHzscgId\nHqRpE7xl62bQVpXFvI9uGPLc9wPEqjU2URoj47X3mHg/myay7AjkXACeJDsT2jDA6cTvTUdt68Kx\neROhG28Z0ZiMmbPA5UL4fEhvd5Z+KASKQnjBBSO61olCz9oiEoaKEidVhzVSsyxmLggnRJ4+/O00\ntr7jJBy035kV//CwZbWTh15owuU5s/xlltfRm/0Kx0/AJtVV42luHFXcr5oG7rYWuoIBpKoS9qb0\nNoOzdAeG08349W9HEa8Ds1v7E6496EjJoDZvPDlN1bR38zHCsnAF/eyZtXjQ8acS0oLWYx4aK5LQ\ndIvcKZ14M+PLFfVg/6octj07HjNsz2NHt6dTvS+NG7+3l9Q8e93Qn3QdCU7LdsddP30NieRP9147\nqMmW+u4rMc9JRFhfAK5IEEe6F8IKZKTzfKUGlbYGRb6/hYmpTkJ6dABWmOHhaIu/lxgeCM2y+Fww\nk3nrdzKrOJc9ZQ1UpuSwacl1FB5nZ97jQUtlFuWbpvT+XH9wDBnjG5iw+OCQgf7BtTN7SdceWBGN\ng6vnMGb2URTlzJq4YuG4RNLb22MG+Qk/tWVBaxuYFjK5HzEhBCiqvYtJ4qQrgDFzJv5bP4b72We6\nhVgEMjWFzv/4FiczRXS4Hce6KpUnH0omFBCoqmTrGkHuGBef+EYn7qT439iqF9x0totu0tVGKKiw\nYbmbW7/gI3fc0AHc2YRY5KvwByBGOf2I3qy6OkzTQrpc4HDYRCmAZaJ0JZZtF2V7mdl0fuNekh9+\nyC5pEiA1Hd/XvoGVEf0enYrynx7JgTf3tLPqL9nsPaSiOySmIXj3NTd3fqOT7IL4dnJot86BXX2k\nK0AkrNBYC5tXuVh6zRmQyXMSoRlmXHtKxM4UJElBn92cSNjZib3nKwLdiL94iAshOFg0jelH9uEK\n9pGSx3LH0e5NHfn1ThAsS1D+3lRaj2UiFLvhV82+8UxcUkr62Ja45xkhjfKNU7GMfqGSVDDDKuWb\npjD9ql2nYPSnEZaMqVUNicVkCpAU6CLksOeh/k0WLEVB76f3HwsjH2p3AAAgAElEQVTxiFNz/Fh4\naz2eppZe3bLQtEmISxeRdhqzeP75T4W/Pan0uuznn4PbbrO44+NDS6v8x79rvaSrDUHAD/feq7F5\nyyjew7MN/thzdSLzmABbiz/ote01qV9M3kM8hcMjJ17Pn4kor0LZXtJr5DInE/ND14zoOicah/fq\nPPu/XkwDFFWyZZWLSbMjfOT/+YbcbHzuT0kEAzbp2oNQQOHZP3i5/o4uRlEpf8LQ3BXmsc2VfOqC\n8WxrHfy5tDQWLLpx8AeAtenVXmIyHkHZvGM/7l2lMeeqhGMyBbwyhKpKTIdOcj+lCV2RjMsxCGQN\nfYlY85lj5hQ8y9d2a8UCTifhOz9A8fiC3mPikasQm2AFeHxr9eCD+5GsMDijtSd5KNjh5sDG2Rgh\nnaBiIa186vaPY+rlu9Fd8eej+tKxhHyuXtIVwDI0mo/m0FGfSkru+yfpIia6/HY6ZgwkZGemiaiu\nAWkhVBXpdPZWpwlFRfGPfKNXejx03PttUh78GaKm+/tXFLq+cA9WQcHQJ58E9KwtzLDKU7/2Uluh\noWkS07Tj/o9/tZOCovhxf/URla1rXIT7ST8aEUFHq8LaV91cfeuZV4k0UH4ARk/A6gE/Mk4joURs\nTDVNUqoqMFxuBGC4+yZ+S9dxdnYA8bNbY0II3rj2E3z4hT+Q3tpgb1hJyfbzL6WseHYCozo5kBaU\nrMylpiQNRbWQUlC+OZMZV9VRMKMj7nmmIdjx/Lhe0tW+mIIZstj18hguvrts1KQrnI7mWt2ZoUdb\n/Hz+weX86d5rAVhcBP6ygwQdLhxGZMhmDkMmD0gIJGegt7fTOmYKdDSQ7NJI8XfQmDuOUBznNZxE\nwPIrbuP5kmZC5bm0eHJxFylkyQYcDM+cxxymhOo9hZStm0Goy4U3s5Opl+8ms6ghofPNiMrRLZPR\nXWFU3eq9ZktlNplFjaTmx4heutFekwkxlI4sQyHkc+E+w7N4jrszZWZmt2bY0E3c4kJKO/vQiERv\nYwdDdjn3+HEj1uFBCAK33kb9+Zez9p9t7KvKIGd2JlcqgnEjo+uisGGdwo++76C0RCE7W/KVf4/w\n8U8bCDE8uSYlvP43D9KCrLw+R1hfrbJltZOLb4xPbO3b0rcb2R+aLjmyX39fEa8wmHyVeQXd4vgD\njuv+OxEbiygaWiSCMX0moiedxbIQQiEydXSav5ELFlH38J/Y/HQNG/em4y7M5NIknRnSirIJSJx0\nrT2q8ugDKezZ7MTpklzxIT+3f6lz2KzonntsesvFnkMGuQV972Nbs8KbT3v4xDc64557aK+OZQ72\nBkG/woGd+vueeA3pDlQr9nsUu+B/MCTC1qtzuPoaeUiJapi0pgxT5xgHAZeH7VPnU9OQz7a2eQQ0\nD9Nd+5khS1HF0ARUPHQZHh47fCfvNizDkgoXZG3hs5P+SrozsUZs7TUZtFZl4Ur1925K2j50Cql5\nm1G02OPyNaegqBbWgLWUtFRaKk9/Z/P+TWkSQeEtV6G5nEMu5HsgjTDy3ZeQKV7o8I06JhNCouoK\nIHGkO3F0H6z7w/jG5cQdf89Y42LRHA5sCfHm1nE0mpnMn+/n8lm1eN19v6ye5xy4FN7abPH48n1R\nA7cs2P1yLnvfyCHsV8mZ3MWSTx4jsyixeKirRefdP47Hkx6mRy7RMuG/fu1gRVcVydlxNNkkHDx4\nfszP9u4TfPmFfQnd/6yFlMiMVGTd4CyekfhLqesIf8DOfO1BVwCZnjo6PVZVwfzo9RybfRlvrsmk\nrDOfyVMtrrFqyWX0vmXDmy6e+nUyjbUquWMNPvH1ThZeNkSDzX4wIvDyYx7cHqs3s0tKOLRHp3Sn\ng1kL469H9m9zxvSXigq1lRpFU4feBDmZUBSB16Hx2ObKQZ99enEhoMYkZBeMSUaJQ8j2QDu6k8zz\nQd+6C7lrv60V3A+J2pgQAkdGKqK5FTFjEilp3dmthoFo91HwqY+Ad+SJOCbgX3wlK9bls608k5xp\nGVw7TzKpONq3b2uNPcsKRR30vTUc9rDx8Sk0l3twJZvMu7mBeTc2s/Kt2ETrQFTtmoAZUaMqOoId\nbmr3jWP8/CNxn6W1KgszEpv9b6/NeN8TrzIr014HxkCiMRmKigyFCE2Ygal1NwSTgLSIzJg1qnEZ\ns+fQ8Mif2fZMFet2pKKNyeKSNAfndcf9o0HNMcH933WwaqWKrsNHbjO477/CeOLwUAPXFlvedlBT\nrpHTL7mis03w6hNJfP57HXHHVbbP0S1bEX1AKKCwb6vjjCRee3Ai9F8jnqSYvUMg8ZhMIlAMg2Bq\nOhFPn29sO9bI8vGLea+bdB2WcO2H9rQsHr3z22jbWqncn0mbI5OUbJM8qxN1lMl8Rkhh+wtjObw+\nG8tQKJjZxgUfO5pQxipAa7WHmpI0kjJC/eJ+QemqXLIn+tBdseP+rmYHUg7+BqVUaDicfFykK5xi\n4nXZZbPYsGYvUsK4FC/HOnzc/eCb/PHea9jonYMXg0kpTsyAD0XKmCLoABaxaEPb2CIZmbRcexMN\nm3bg37KfNN1JWtjEUHVenXfNiDV4euBrTuHg/qUgBYpu0lai0XikgGlX7MLpTSxo6o/KrcUcXDsb\nq7t8sbMhje3PLmX+R9eTUdg47PldLV6kJXpJV+hJuJS0VWcMSby6kv2Eu1yDP5AC3TU6IvlUYSSk\nazhs86NRv/KmZmhqgox0ZEvrIPIV+hxkXEtRFORFS5EdHYjaeptgi0TAMJH33EWdxy6pHYkOD0BL\nM9z/8zG0towlKUmyf61gzVq49zsRZs0ZOWGxdZPCp2519WbS1FQLfvA9B23tcN4HmoChybVAl6D2\nqEZmbvQkn5xqsW+LY0jiNW+cgarJqIxXsBcJmXlnH+naP2joj8Vj0lAUW56pl3w1PRS88y4UT0CW\nH7V3sQecN6yNCYE5azbhnDz00hKUhgYQIIJBAtdeh1k0YVTPEYnAg49ksG9PFsnJEmOvYMNWmHtt\nO4uvsn+fI8lybW9W+PYdWfg7BVIKIiHBG39P4liZxn2/jT8H9UfpdifpGdH2nZphcfSQRihA3Eyc\n7DwTTZdEwtHfosNpkTPm7LOxeDClgpQCTYl+poLGatq9aaT62qJKInswnI1ZgN+dRGNaNhkdLThD\nQaQQqKZJZ1IKzWnDpO8MgeV117CxcRFONYQwJSVHZ1Cato8PF76AIkYWhFlS8N3tP+SYfyyGtBd1\nGxqWsL99Gr9b9GUc6vAZgW3HMlF0M8oXqLpJJKjjb0vCmxWb4Hd5A1hGLD1HiSft9JbnHi+k0efr\npbTnBscAl6XuLsUam4d6oBw5hKxFPDuTQCTJQ+vEcbibW9H9QSxNRTFMTIdO28TRl929uyefX746\nG12zcGoWu97QeWv7WH5y15Yo8lUa4fi+uJ8pbvjLOA6vy8DoznKo25/MK/dP4YM/KSU1f/gYr7XK\n1SP933tdRbG/29YqF8lZsWMrATi9JiHf4HDclWKMsEzizIWUEI4oOPToxb6orLF3ENxOZDBEvOlh\nKBvD48Zacj6iph7R4bMbdYUjoAiMj9806ri/vMbLt5++mEhExeOKsOddneWbx/HTL2yjMHfk7//a\n11z84f7U3k3p6nKdh76ZztceaOWCy4e3scYalaBfITOnzxcIAS63ZP82fUjiNXeMQe3RwTZmRATp\nWaPbEDtR6Gj3s2LFTq6+erDk0V83DhZutclY2FrdyUCriIRB1eCCcclIfwdG4VyUjEkoXU8jc3Oh\noXHIpqdxLUUCC89HmhZqTR0yFAHDQhgG1m234Jg0ZdApRuHg5xmIjg7Bt76XRE2Dg5RkeG+twfOr\n4c4vBpgzP5oMF4qI+X1AXyZr01EXr/93MUbInse6WhXW/S2HfTtaWXj98MSwZQo6atNxJkdvODk8\nIVqqsockXt1pPhTVwDKj7UwoElfKmUuIjRSGYb93UVLPUqK8sQI5dQocOjy6uF9RkFMm4Zs4Bce+\nfagNjaAqiECA0EWXYMyIrb05HCwLfv37VLZuTsfrlVilgk3b4QMfNrj14yOPlX2dcMMVLlqaBaYp\nCAbg749r7Nml8MLy4KDpNlaSz74tTpJTo+cdb6qksVals02Qkh7bEcRbP2q6JG/86ds8GgkS0X+1\nLPvPwAKewnffomXyDDJL99rN5OPcIx5PZikKvjHjqVxyKdklO/A0NXDMZ+AMB6nPzOfogmVkOUfG\nXfSgbGsuZe/NRNVNFAWOrVCpP5jC3FuOocQKo4fBWw9Poanc212hDVW70mk4nMyHfrILh2d4u20s\nT0JRrQFxv8TyCdpr3WRNiO3DXclGzE1KgKQM20+PlnSFU0y8SgnNu6dxaOd5RIIOnElBMhZuRem2\nLFflUcJT5tDCYbJbGnCHgzEnroiqoXndCJ/fLpeVYLlcGCmp7P7nG3zq8Z14Z07iwrR9nB9sZE9K\nFtsmnEerd+gOkUONu3J7MYpqobvtRZ7uihDsdFG7fxxFCw/HPbexLI8Dq+bgb/Hi8AYpXlrCmDkV\nHF43s5d07YFlaBx8ZyaLP7lm2DH1pE0PHiyo2tAGWbx0P7teXhRVPqloBgWzKtEcZy5hkSjpuvwt\nF1+7L53ySo0kj+Qrd3fy/W+2206yugZUFXntVbC3BHbujj1xKQpyTAHUN9jEqhD2qlQRmE8/BosW\n2jo5m7fClu2QkoK87CLqis+zxzhC0hXgjVc02loFBWNsh5OKpKMd/vpnjQcfDsddO5SWCP7z2w42\nv6fiSYKPfyrCf3wnwoM/1geUL0LAL/jVgzp/ugHc7qEJNlWVPfJ5Ufc2TXDE4O3749rb/az4pyeK\neFU1SXaByeTZZ1fpZKygoeqwxu/vT+HQHgeaBjfeYvDfD4ZJTXVAaz2hdj/OJYtgQiFi5eq415aT\ni+FYDQSDSE0DVUUAbT/+Gf7P3mV3A9+5g+qX30RIScPCpbRMnwNHE88c6N/AavtWhfVbLLLyIwQF\noAMarHs1iXnLIiQlxw52OloFjz6Qwqa33BiWpOC8FubeXsGRd3IIBIiai8IhwZ5NTqrLVcZMGH4+\ncbgkwa7ofADLsjNxlCE81LyLQ7g8kmBAIvuVT6o6XHzjmZ21nwg6Il7+98DdbGxahJSC6an7uWfa\nHxjjsZsgpnR10OlNxu9OIr+xOm4A1uny4ooE0Uyju/mQRAqFmpwx7Jg2H4Qgye8jq6UehxGmNSWD\nlrQsrNFESkBTMIPNTQvJcjX1kqzJWicl7dNZ2LWVIu/grCYAw1J5uvxWltdcS8B0MTXlAJ+f8hc6\nwqnUBfN6SVcAEw2f4WV941Iuy3tn2DGpuoGMxS1I25fGgyslQEZhA81Hc6LKJxXNZMLiA8Pe92Qj\nFB5hp++XVtrlrt2aiBFT4ecrruHxTUsJRnQmZDXxw5teZNkkO6ZJ2bADHUG4sABvRU1Us7b+CDic\naJaFZkTsxldSYqoaXW4v6+ZejKlpOL1Bslvq8QT8+NKSaUjPwWgYwk/2jDUGIqbCI8/Mw6s14BYR\nMMGtwOFDabz4rMV1s+znY8d+Ms+fjt6vudZjL+Xzgz9Pp7Y2h+JiyU9+arJokcWkzzgwBmziSEMh\nac80Hvni8Au6tZmCX2xXGTdgDVWpwVcvdXP5FfEZ1MIy+OlPJX5/3/09HskPvgdf+tDMmOf8edgR\nnTn46+vF3P/o+TS2uchMDfK9T+3i7psOASDqm0BVMS9ehLJ7P9TGznyVDgfS64YOnx2USGnrKTod\nhH/1PeTYPAgEUXaWIA5XYmWmYS2cA9mjy9wH+OvyYqQlKMiySaM0b4S6Fhd/WzGR79y5J+557+7K\n4d7fL2RPeTrJaRa3fMbHTZ/087eHUgZVAoWDgid/lcIFlw+fcKHpfY/ePyazzPgblD344F1d7N/u\nINTv/rrTYt6yEKmZp5d4dXTHVgNL36++em5UaXwPYpGP51HML/8ziYoyFacTbv5YkC/cK9Ad4D5c\nS1EYwhdfhefwAVK2bY5PWBQVIWpr+9g1hwOkJPz4o1hXXA6GgbJ5C2LjJvB4sC65GDl9WsxrDWzg\nZxPF0XjrFQellSq5BWEiQGauLTPywhNutoX3xSQsvA6NtloHa/5SQOUeL6ommXFpK6GCFVSvWRpj\nHtNpK5mOccVhNOfQc5kQEqHYMZXo1xDLTvQZOp4bM+coR96bbqfx9l7QQneFySoaurHZ2YAjFSpf\n+EYGaze4UATccE2A3z7YQk62Za8Ha2ph4Txk0XjE8pVxr2NNmYQ4VtPdY0HvFhMWWN/4CrVfv8+O\n+0sP4ly7BhEOEV66jPCChaOWndu3R2H7VoWx43r0xiVpJrzyosZlV5lkx5Hf7+yAH37fwUvPakQM\nuOwKkx89EOatFSpdPpt07UEoJCjZa99n/sK++SReZaXDJeloGZyYI2BIyZTp88OkZ1vUHxNR5Jiq\nSa76yNlF7sfSfw12CZ76ZQZbVtpyMkUzQnziW82Mm2yvmzMO76d9bBGdBeMoWr0cNY60RceYQjxt\nzWh+P5amIaSFpelUX7CMt37ye17cWkP22AuZV7qZgnAHFYXTODBlHmHnMIv7OAj6NI5sysSTFuqd\nsxxJBs1Hk2g+mkT2xNgkp2XB3jfyKVmZT9ivkTG+i0UfO4qiWjRV9JGuAEiBEVY4tD6LmVcNP5/o\njjg8GcStcgNweEyKFjRzdFtG1P1Vh4k6fu1xka5wionXvW9k07AlD2nYb1XI56Zu7RL+6+FKfvDV\nVMzcPISU5M0ZT9uWIO5w7Iy6cPFk7rn/CT41v4ALdq2lZvMeQhMn0XLltXzu57YAe2ZeFqV5l1B6\nAsZtGSqBtqRBO4C6O0x7jR3UtVVncOS9afhbvKSOaWbi0lKC7UnsfGFxL8EZ6vRQumouYb8zThYN\ndDUn1mk3KaMThydE2O/A4Ql3j9POjBouYzZnSi1TL9/FoXdmY1kKWIL8mZVMv2pHQvc+HUiUdF2/\nycGtn80iELAn+U6f4KHfJ9PhE/zyx22Qnma/6ULAzOmwc3fsCykK5vb19r937UG8ux7S05E3Xw89\nuq5OJ/KiC+GiC4GRabrGwvZtCqkDhMWTU6CuVtDeDu1tgkd+qbNlo0rRBIsvfT3CmHGSD1zrxtcJ\nIOhoh0f/qFNeplC6P7aTtizwt2u43UMH20637eRKtjrIzLWzxSwLujoULv/Q0NkeueNM7vttK7/9\nbirtLSqWBdPnhfnqz4Zv/nYmIVbQ0N6s8N07Mwl0dWd5hu0A5shhhVffDiJS0pC6jj8C5I8nSVVj\nyg6gqtQ/8RRG8STUqircby4HIQjecDPm2LF9WbbpE9E/98Xe00baM6p/tu4bq5NwOp2o/UzD4bAp\nz/oqldyxJq88nsSmt1x4kiXXf7yLRVcE+e6dWdQdU5CmnVtZvT2Dtopk0goCWJHBdqZqkqrDekLE\n64JLQrz+9yScbqMvQ6xR5bylIfQhHlbT4b8fb+ahe9OoOKgjgJwxBl99oO2M6m6aCL41+eaon6WE\nimdvJtyeAtL2FfvaZ/Dlnb9g4u3PoTojfLPJT4GviXanlys728kM+gZdVyL40aLbeXnqMpJDXVxT\nvpWUUBcbxsykNGsENeojgL8mj+akXPSk6PLeiC+JB1JuIXlCJW2lk2kvnQyWQsrkMtJmllL3zoX4\nqscju7NlStpn8I2dD5A+ax/BGFYfNN08rl3O8slDaMeu2YsqBBlFjTSWFWCZore7ctjvxJUcxD1M\n5up5t2xi7+vzaTxcAEKiOQymXbWDtDHxtWFPFUYqNVD8s4ej9ADv+Xoa/9jqJhC23+Gyxhzueuou\nVr7cxPnnRVC9Bagvv4IjPx8h34HyY4OuKQB1yXkEvvYZiBhoW3aj1DdhTRiHmDOVi+IsFgfnh0VD\nW3JjTO1CgKOVKtbaVNLzon1YVrvgYGYBd951JctXOnn4917qH1U5b1mYO+72s3aFk9894CXYHR8c\nPCi47WMw/yP1WEoeA0Ni0xS8vDqE9vzwkWQ4oHCgpZCyTgu927dGggqRkMrTNUd54fn4c6GcAJOv\nymffGzm96VDTrqunNL+OLz8/7K3PKPTEaj148oV0/v334/AH7Hmssc3NfX9ciCMnn8/d3oJolwjv\nRkjPQs6aiahdE/vCmekY694AKREbtyJ270MW5COvvhTF2U+SYsYCoNsuj+M5pIRd1YWMGRtBKH2Z\ngtke2HEsBXWCZMc+Nw/8Lpd9B92cP9PPt+6pxx9QuOW7kwl0E5ztzSrP/DaZzjaF5vrY70J9ZWIj\nzco3yR1j0lyvkNZNlhoGRMKC85YMnTE7c2GYL9zfzv/9LIVQUCAtwQWXh7jnB4nJtZxsDCx7r2r1\nRxGx/bNhB5KxjRUuvv4db2+WZzAAzz3pYNtBP489AWZGBsIyEUgCU6aRsm1z3HFsWLERVBXPwVLS\n33kbw5tM87U3YqRnQCuADtOX2n96EK+4p3Uw0TpwTivZpdMY6aS9MXou62pxkN2mk+RQ2fJCDpW7\nvSRnRljwgUbUiQGe/vYkgl0KSAXLgN0r03DnXA7BJJCD7UwoFoF2D8k58bUN7eMga2IdDYcKcKX4\ne5Mvwn4nY8+Pn+0K4EwKseD2tex55QKCHR4kkJrXypybNyFGxxmeMej0CS68No+WVgXLEpjAq2+6\n2Veay571tagOh702DIYgJ9sOrMMxMtBVFevhB2HBPKirR7y2HCIRGq79IGZRUe/60Zg9G2P2idHH\nLC0RKEr0Zo2q2j8fOayQlGTxlz/ovPS8issFn/ycwYdvM7j1FhcHShTC3UT+W2+qbN/q4uLLzKhN\nwh5I4MB+m3gdTspuwSUhnvuTF4/XQFG7pRIbVabMDuPxxo/fFQV+8H/N/OpbaRzc5UAokJ5l8uWf\ntJGVd3o3kEaDgfIDGx6eQ+exJIyI/f2W73Py4Bfy+eHT1aRlm3Rl55F5sIRgeib+zGy8DbUxN5FK\nPnIn+27/HJq/iwmrl+NubeQZfQIHC6fD1hoA5PjxbBs/nm0n4Dk6G2wf3H+jyK7Ctmip9JBV1MWR\njVmUrs7FCCtMWNjM9Cvr2P78OA6ty+7VU22u8PLmL6Yx+/qamFyBGVZprvACwxOvOZM7ObIpEzMi\nUHXbpkJdKg6PQVrB0Mk5Sz9VjlCgfLPdF0LVJKnnrcUzpgo4S4hXKWHH8/lII/qW0tR4968Z8FWT\nzvPnY6SlI+oOk3Z+MdaqBkI4AYGnW1PJUjV+7L2ElX9r5un7sgg134DqvhxFsTC/68CTt4gZSys4\nuKaQ2pJxCEUyZnYFExYdHJLhHgpCtewM0wE7gJah4vCEaDiUz66XFnWTqYKuVi/1B8biTumKbsqB\n3cSqYvNUUCwwBwdbwy0Ce8ekwKRlJRxaN4NgR7cOjCIZP/8wnvThrzF+Xjljz6sg5HOju0Pvi0xX\ngP9+MHVQlqc/oPCnx7388L52vOPG2sH9nn2Qn4tMSSbYEUYicBGkp0qw+aIbObRd59GnvKxcdQ1J\nnivJzrJo/IPK5GKDe7/cwbZdDn7752Q6fYLLrzH4xr1BcgpG30o9PV1SdVTg6Rd/mqbtaGqrBR+8\nzk0gYAs/lx0SbHhXZdklBqEg9C9eCQYFq99WmTLVorlp8H2EgJSMxN6Fa27z09GqcKxM6w3AFlwW\nYs7i4SUpZi0M87s3G2muV3C6JcmpZxcZ1oOBgcNbz7mJRKKzPI2IoLRU8NdXu/jMTUkEb/kgnmee\nwsjNxSguxjxYjoWKjoHerTjYkTaWA+YkXv55Ei8+NwvLmsWYsRaVf7bwpkmuu8OFwyF47n+9NNaq\nTJod5mNf8lE4ZWTlNP3Hn5YhMWLIP0hpzynfuj2L5nqFSDcRU3FA493XXTTWgTT7riMthZBPQ9Ut\nFM3CMqK/I9OEgqLExnn+shA1RxV2vedCVW1B9MKpEa748PBZq7ljTX72VDPtzQqmCRk5Z1/g1YOi\njD5n3nw0G9PnBau/j1DAVNGqp1O4oIwd8y5lztqn0BWDirwJJFeUYKIjsHB1a48HhIvS8ZehVkzl\nwK6J7A18EndaF0aFAyEkBbMrSM1v4cj6GbTXpeNO7aJ42X6yJ44+O6U9pBHQVVyu6LkwEFLJz1Q5\n9s4VNJXn9vrG5m0phI4W42tIRUY9rwBTRe3IsRuaDHBRqh6hYGyQsRmJBEGdjD2/jOqdE3rfW0dS\nkOIL9w+7EaQ5DeZ+cBORoIYRcuBK9p8xi0hnRirFtw2tcdgf2zs0hKrx2KZKgj6Vp/6Rjzlg4yQQ\nFHz8Ph33vOVk+xW+f7gNs6yDsDKG66kmjB1g98RkfjTuEtfzzu+m0LJ3Gkbnp8nIl8gNgo5HwiSN\nryJlUjmte6fTVTkWxREhbVYJadMPDf3dv/G23T08Boygk9rSC9Eq/VHXMPwu3PUNPHGTpGnb3N5N\n/gNlCs89rSAtgRUaMFeFFXa+4R2UJQaAsDAdtWx4Z+8w36wNpbCKhh2zsQwNgUSoFplz97BtawIk\nfd5eJt2pYgRcaO4AQc3ivbUJ3fakIjnDzWV3xM66HYjATV9iZV0oqpb2m7/I7yVde+APqNz30FjS\nrlcQ45axIPV1nNVNhDJyKVJUwpaOBNzYVW+WovDupZ/h7VUFvPWsl0O75+BNNXF5JL5HFIpnhrn+\n4z62rHbxzitepAXLru/ils92jrrLtZTQ4dLwd2k4XH3XCAYEigt+tGoMD3w5i0jI3oA9WOHkhZVp\njJ8cJhAcrD/44qMuhDOADA0u9xbuTu598OWExmUYHlqrFmAe7LtO8qRSHnmxIqFN7cwbBYY/CdUR\nosYR4Xu/Sei2pxwDidhY2bA92PJCNmZ44HutUrEpnd+/uRd3qsG1edOZun8brRnZuFLScXZ0IVGi\n4v6q2Zdy+KCT159zsu6tJTgci8nMsWh9XCF/rMUddweorlR55s8uOtoEF1wc4bNfC5A3JrG4I1am\n7pGuXMyIh/5hprRAFQLVcPDkt4sJBxQsU6G12kVViZukcVMWXacAACAASURBVMcIBYgiWKWpEWzK\nIiWvBX+rl4EF7dJUojRbh8KY2UcJdbrpqE+zq0otyJxQT87k2mHPTStoZdndbxLyuVBUqzcx6GzH\n0897CAxoTmcYgrp6lbfWuLjmiiDygzciHn0ScnOQ06YQ3n0ACxWVCI7uNGC/M41jyXN59uFk/vaP\nPEKhueSPh+anBMnJgk/dFSErW/LLBxxUHBHMmGXxH9+JMHfe6GPb1DR7PhsICbjc8IFrXRw5rBDs\nnrcOliq8/LxK2aE+0hXsJqVdXXZyr8stCQ5YaysCJhYPT7qCndSz5GiAzatcdkWDtNcM190xfNZq\nRo7FDx9tobNNEA4KMnJHr1V7piDL66ClykNHtXdATCYwIpI1zyfzgf/XRsVl15Gzbwe630fL5Om4\nGhqIoAMSD/bmW0hzsXPyNWx+LYkXH88g1PFFPBlBzIiKKhQmLGqiYHo7qx8fQ2NZMp60MLNvqKFw\nXmLycLGgu6yYskjSEji9Bhsen0DFlszezbHdDS6ObMqko8EVtbYEW4e17kDsJERVN0kfk1hmszcz\nzIyratn/dl5vVaTDYzD3luphpQ9UXbLss0dYdEcFoS6NHbs3IRR53NmucIqIVymhow3CXbGfNNzh\nBdqx3B7K7/0eC/7vZ7RvOshR7xL2+CbyGjdQSCWLlM181/wxB7ZPoc+pCAyflx7llHB7Khv2TwFh\n9WYKHXlvGs1Hc5j3kXU0HCqgqTwPpCBrQh25U2sI+500lecQ8TtJyW8lfVwT6gCSNnNiLQ0Hx/Yu\nuixTYAR1xs4tY+9rF8ToeizwxcleNQ2VooUHqdw2GTMSXe4/+eLEGym40/zMun4bXc3JWIZKUkbn\nsGUk/aGoEnfqmZ2aP1JN15IDOrEUdFQFaupVphRL5Nfugcf+TmjVRsrd8znUkcprXI+Fwm3KP/mx\ndR/rVi/DWt1jrwL7VbFtrOSAzivL3QghMboJp6efVFmx3MHbGwLs3qHwxisaHR0wb6HFLR8y0DRY\nu1rlaLnChEkWF11qktZXAY5lweVXmfzmIR1PksThsP+vvk5w5bUmD/2PA38X/Zy+IBCANW9rRCKD\nn9fhgBtuNjh0UIlyjk63xQ2f6Eqo8RGAxyv55L93Ulel0tmmkF1gjkgPTAjOyl3IeDANKC/ViYRi\nBxS1lRrvVrRx0UduBQSOl16iLFLIMaWQN60rqWACn+Yv/I07ea75w4Qv7MnUsX9HFUd6bA0O7XJg\nmdLOSge2rXGxZ6OTHz/RjGXButfdNNWqFEwwuOj6AFn5JiVbHZTv10nJsJh7YSjqu5cSpswJs/4N\nN4EugTtJ2tmlTQq5Y0xKtjlobewjXcFeMG57xxWzTDsSVEjOCqNqEsvoU67SHRaTZkUYPzmxucjC\n4iff1XlpcystDSrpmTahOpJA6nSXSp5ISAmdjcmD9JHBlqPxNdoZnofyi/nHolu4dtcqurq8bFCW\n8p61hI0s4SZepIxJ/EZ+Gd8TPX7Ivl6wI6n3377G1O5yLftPuMvNzueXMPO6baSPbaZ23zg6GtJw\nJgXJm3aM1DHNdNTajaoUzSSjsBFvVnQjBE9GB7o7RLjLge6xJVIiQd3WfVJNmipyo/ylZWj4/j97\n7x0mR3Xl/X9upc49OWgkjUY5JwQSRhYZTDDGOIHBccF+jfEah7X3t177dVznvF7ntMav7bW9xmAT\nTAaBQAIkFFDWSDMjTU6duyvd3x/VM9Mz0yONRhGk7/PoUU91dVV11el7zv3ec76nO4oQclTcJl0F\nM+PJEmVsFZn/LSBcVN2hdn4L40XN7DbKp3aR7ougag6hivhREai630b3n2YaYqHSIzaXKcR/P9iM\nEAIJmN1BigpqSkHbHoVLLg9CeZA/Xv5O3vDiA1S097NOv4CXrYU8xJWcxwtU0Mnn+RxtT0xmwIYA\nOvcMjQdmrITel5bg+U8F0tC9fiVGsoY5F2+jfccUeluqUDWHqlmtVM1qJ90bpqepGtdSKZ3SQ0ld\nL0pBgwbXEbhT48TbPS1CIcCxFExNZ+a8fjb8v4uHL/K7Km7OGLKfEbATYWrmHqRz9+ThEkyqy8IL\n9xEZownNKJTlmDV9I8lu7zcXqoznY8mjabojgSOX+20/iiMeC1S/j9DM2ePaN6MIEMrghDuXhe62\n4nF/f7eCpmoITWPHR/+dmb//JYEXtrIp+lp299dyH6+nkm4uUR7nM+4X2Pb7RfD7gecn6G4bisla\nD+g89bcQisrguHnfXRE2PxPkS3d18+JTPjat9WNbsGilyWuuzJJJCTav89HfrTBtrs3Cc81hJK3j\nwHmX5HjiniCVtQ6q6vn/RJ/K1W9P8+uvlg2TDZCuIJcVNO7wkkVGQlGgfsVumjYsGiXzNffCLUyq\nGn8DMFm/kVRvFMfSCJYm870ZjraBmC//b2zsP8ojnkgUErGF2bDSEXQfmF20pFTRJHZfgHBVhvXX\nvxMZDjP7xefYqS+miwj3cQ0pwtzCb/kWH+PxrZfhvH7g2XjHa9rn2dj+3ZL1T3oLOQMl1g/erfD0\nIwa/+Uc/P/1bN/s3lJKNa1TOSDPrgj40v8uhbRHirT7C1SaTF2tUFUinSxdmnZOme3cE25RohkS6\nkOzRmbIoyeb7KwZJ18HP2BqppvqiY5lAUtnQSbytvIiUXBO6f3wyX6ruMOvCl8nEgphpP/5IGn9k\n/A3lhOCo9j/dYduwZZtOKj36nudM2L1P43WXgbzqSq/Xx1/+RnO6hma1moedS9jBAt7Br3mA6/ht\n5hayrx3QBfHsqLFpyF9u3qRg20Nzvc4Owfp1Kr/7S5ZoieTuP2s07RfUN0hueIvN9JmS559TeGmj\nSkmp5MJLHKY1FEhESFi0xEE3NOIxiJbkZR+7BVVVkj27BAf2D5GuAOm04Okn1aIxeCYtCATB74dc\nVg7+7nRdUlFnY9b1IjhyrwhFgSvekmHlJTk6W1VCEZdJ044u7vcq216ZCT0jIV3oOxhAFmHIbUvh\n0D5v7OmbMYeN7/0w8+/+HZnONAeNC3jWPI+1rOEqHqCHCr5lf5z+D5VRGJNl+4f8Un+rnxf/VM9A\nTJaJGTz985mk3tRCw7m9NK6voOdAGF/IYtqKXmrmJuhtDtG+K4JQJLVzE5RPHb7oHa7IEiyzSMd0\nAlELIcDMqCiqJFRmsn995TBC2bEUkt0+L6Fr1M1QSPcalNRm6DsYLBj/JKoumb3myLI8A6hbkKBq\nRopYewBFdSmtyxyV3qzu96RSjhfpCieYeH3wbp1ffS9Ia7Myps4CgBZKc+uXHuAjV1+HptZTd8vt\n/MueepSSFAGRJdzSzj1db+MbuU9QaEjDkd/m5tcu5dCddW2NvuZKXrpnJbgaRtBbFWh9eRqd+2rJ\n9IXJpf2oqkNXYy3Rmn4aVu4ml/QTayun50ANye4w2UQAqEIP5AiVJ5i6bD+RqjhmuljwUsyaPKiq\ny8w123EdheZNM5G2ihbIMf+yzVRM76C7sdojh/FKPsqndQ2bdBRCUSSRqsOXjrxSMR7S9dkNGh//\ndBkvbTWw7KEf50gbMS2YMsnhpa06qXQ5S9/9fj65/U5ihkNktUDZs4ddzRFeF3svniT12DYmpchn\nXw1f+exsh9tu8eHzQ2mZR56ufVxl3VqFRFxwsFkgFKioUHngbyr/8m8WyaRg907BYw+r7N6l0Lxf\nYFqCaFRS3yC57o02N73D5jtf04ettA7Asop/X8uE19/gUFmd43Of0Un2K+g+ybXvSHHjHUn2btN5\n4QkfqYTC3GUmKy7MEQgVtzEhYFK9w6T6E5cV/YdnD5ywY08Uaw/0o2sKXa3w8y+XsOU5XwHhWvye\nN8xx6GnT+emLOabOu5ontl5PfwpKVvnRG/eR3Z/kjV33YlN8gWCYTVnDxzopBbkMfOZ9QebOV/EH\nXQIhl+bdGr/aGkXTJS37NFzHE6nf8Kift34gge6DrkMqL671cWCXRut+jVxWYPglVbUuSy7IccOt\nKX74f0uG6b8NnncMTlPzuVTNTDP9vN08+bMG4h1+EJIVF2W540tx2ppVNjzqp6tVZeosi/MuyY3K\nSLXsob+vXxkdXCkXp0tK4UmCbQlefmgJrdvqcU2DMdsvCJdQZYxcykeqJ8L6spU8Ov8y+p6vwZ0P\nValeSrt7+VDyB+QIjXGcggwGR2WkLbu2xtb7zqFyeidCCPRAjlzKz96n52OEssTby3BsDd1n0bmn\njilLG4nWxEjHgvQ2VdPfWkG6J4yZNVAUF18kS2ldDzPW7KK7sWaYHm/hOYs6TOESrYkx/TU72HzP\nKmKHPF9QUtvL4jdswLE02rZPJdFZij+SoXp265iNssAjTw/XePKVBqGoo3QEx4LjwJa/VfPyg9Wk\n+8YafwAkejSObaokOspI+qPsOGcehx6dDrMgYiWZ1NXGt+N30iNrBq5k5JUNHW3QxoZ+066lcfCl\n6eRSBq7jxWSOrdCycSbtuyaT7CrFzuoomk3XvklUNHRQt7CJTDxI36EK+pqrSfaEMZN+EF6Ja7gq\nxvSVu5GugqJK3BEcuZdNXdzHBUtTLLrmBbZJ6Ng1Bekq+KMpFl/7IsHSFO076+hrqUI1bKpmtlM6\nuWfMCaKiuURrT4/y7VOBDY8Z/M8PSmhrUsckugEiZS6uA/u26wgxie53/Cv/vUdDWe7iMxzCe3bz\nUPsqvp/+MEeK+73Fo+HNPC1TYf9OwTc/VoprC6LlLooiefYhP5vXGXS1afR3Kai6pKTc5fnHfbzp\nfUli3Qr7d+i8tM7HwUaNrjZPKilS4hEDl1yfYdlrc3ztzuI9IzzJvdHxgZSCaSt2goSmFxbgWjqq\nYTJrzUvUzmuit7manv2Tka6grL6dimntY1bpCQHhildn3D8eRHM17HhkuSf15g7E66PvuZ0TlNaa\ndDf5yaWCpC69ma+33EEWibpAobZ1P70dBtckH0AeIe4HMarqwnUE8X649WaNULgWX8jB75d0747Q\nvSuCbQli7T5AEog6HHyhjNfc2I5tKfQdMjiwqYSeFh/9bT4cS6AHXEqqTWaujNFjPMG+514/jHQd\ngOdDi7VpElTObCdUkWDHw0sxUwGE6jB5SSPzLt9KvKOEzj11mGkfJZN6qZ7dNiYZKwQES9MES0/v\n5JwThc5OuPNT5TzwcKCAcB19z11XsGCuRVOLSlOzj/kXXMfdnTfwSExSttxAbWmBfTHe3vUnTPSi\nMhCFxzRHVV54STbvf5fBoqUSv18SiUDjHsEXPmMQDku2b1OxbUlJCfzjPpUPfdSipFRy6KA3t3x5\nq8K+PQqppMDnl9TVSV6zxuGfP2bzjS/rpFOj7d4eY405EJAsO8fltg9k+PD/8bF7p4KiwKLzs3zw\ni33EunTWP+qjvVljUoPNykuzVE0aOzGipMJ9VSVOHA1sCzbdPYU9T1dhpTXGjslckr4e/vRYG4m2\nEIHSqWQaPk3nnlLkIkF5upfKjg4+0fd1UgxPtBhCYYw/OiazTZXn/zCVth1RkAJf2CKX0thyfx3B\ndSY9B8JYOQXD73JwcxnTV3VTOydBssegfVeUzr0R4u1+ckkNoUCw1KR8WoplbzxEX0sQUYTD8vRT\ni8VkkrIpac5/x36e/MksL/tVCsqmpllz216EItn7TCXdB0IEohZTl/VRPnXsbH7d71LZMPFmuE8/\nuXHCny2GE0K8SgkfenuEzesLSw0HHvrIgcslFMmx56638vH/0ZEu+LULmD8jxYKZXlrefnc6ew5V\njDjO4VDcefbsm0youm8wy9MXTtO2vT6vW+gZQLo/TKKzhOaNM7wMHFdB0Zy8oXpGaiYDmMkAvlCW\nylltxRn7Ma/DpeH8HfQ2V5HqiVI5rROhOjiWRt+hCtJ9YfoPVaDlneGB9XOItZUx4zW7XvGp9EeD\n8ZCun/pihG/+Z2lBCUWhjRUcS5VMrnVYuqaWrm4VRfEmobNnWZy33CuD6WlYzgu7/IxNuo4HgvXP\nqtTWSi65wuvqVztJct+9Kv39Q0ZyqAX27hHcf6+GqoGZg1BIkskMiZX39kBvj8DKabz17TYVlbKo\nbMDw7z0AybmrHFwHfv+/klmLTPx+SS6n0N6s8fjdfp59OIA/INF0yRP3BHh5g8G7PzHxsrxjwQDp\nWhaYuEzDicKGxwy++fEyXHso+PYwsNLq/S2EJBCS/PSLUZp3G2i6xDQF5dU2C841yVpgVc/ixZ0+\nbFSOxcYyfUG2PG8zZUUcNec9r+yhctoOeA5PuoLeTklbk8tn3l2J0CR2ziNazawYXATLJCXNexV6\nuxQufkPG6xaqSChCjBWzMc3nUDc/zob/mUK0Jkd5fYZsBsxskOcfN3j6/iCKIvEHJC8+6Wfreh/v\n+WR8VAZ0YfOvNQ2lrD3Qj2W7R1wxf7WgM1NO41035TP0CgmG4TYGEqG4dDfWsOeJJYN+SQ9mKZvS\ng6bbtJXUsK1/4WFI12Iosp+r0b2vlpo5rSiqRFEtzLRB+/b6/A4KOcWFHkn/wQrvSl0Fobj5siHv\ne7iuSqZPI9MfpHp2G75Q1pMFGiWzU7zXrxCS+nP30LJpJprhUD2n1SsXd1R69tfQ11KNnVPR/DbZ\nRIC+lkpmrN5B2Wmgv3o6wTRh+TKdxsaBJlOF93rEvRcSpMLj378OobggFRTDIlIVI+hL0+croyk1\njXjs2GOyrj1TKJ3aOVhhJGWO9u1T875SBeGS7oV4eyl7n55f0OxR5kk9b4zIxlWy8QCR6n4mL2ka\noyPtGP2khcusC7fRtr0eK+OjamY7Homn0dNUScfuOlK9EXS/iZsMEG8vo3Z+M1OWFG8Sd6ZCSrj1\nPREeerAwEaF43C8USUW1w22XVmObAim9JILJMxwa5ljYwJ66lew6MJClM3Eb27TWz+QZNlV1XjZV\nRa3D2r8HsPLnBeg8CC37NB67O4iqSmxL4Au45DJDSSP93YL+bpVAULL66oxXaltE53CsuH/y4t0k\nu8qIt1dRPrUToTi4tkais4IDG3T6WmrRfBYIScumucRaK5m5emvRCeuZjMZnZ7PnycUUEqIeRtwn\n4RIstfnjv88k0aN7cb8tKJ2Uo3ZOGilgX+1CGluihyFdxwNBz74IqYjFzJUJhAKhMpt9GyJkYkMx\nbbJH0nfIR+PzcxCq9IhWn4ttKoMLFLmkoDMZoL/bYtp1BuGSHH1j8uujY7JgeRwjYLL/2blEa/pR\ntB5cWyWXDNL28lTattcPVp60b59Kb1M18y7fPO5M2DMFT60zuPqt1XmJ1rFjMkWRBPwuX/xGlBdf\n8uHzeVJvtTU2F782i6JDrmEm6/b5MTkcsXZkdHUpPPOU5Lo3OugGlFdA0wHBU4+peb+o0K5JGvfC\nurXePNc0wfB5lQfeWCewLMHuXZJDhxTe9FaHSXUSw5BFCN+B714IiarBVdfafPfrBpPqJKWTM1iW\n1+hq67N+1j0UQLoQCEo2rzPYtt7gXR9PMGna6StneCqQiSn89TNLMdPjifsh0xbh0c+uQtVdXFtg\nhGwqZ6QIhC3ioTr29M8hNVhZM1F/qXBwcylTlvahahJVc7AyCo3PVg3GhRnFJdbup6sxjOsAMr8I\nJAfmlgIcSHT5SXT7mLwoRrDUGuOSxoj7Vcnia1vZ9WQ1QoH6ZX1I6RG1bdtL6GkOkUtoGEGbTL9O\n594IC1/XRt2CE7cYebyyXaGQ7j5GBPbuZs4/38aK1y6n8cpvsmV9IacrRrz2DEv15SiZ3EOsrQLX\n9JFOKmTSCn1xg+e3RXEcgePC7qbg4KAxcXifTXWWko17ZVzp3kh+klhQUi4VHFMHqSJdDVDy2TjK\niGMJOnZNoXnDHCYtbELRRi4PFQ+WVN2mbGoPBzfNRA/m8EWyGEGLQEmGZGcJXfsm4S9Jo/stdL+F\nvyRNX0sVqd7IMXz3VxbGJF17elE+/QXUc9fQdcHNfOcHkSKk68Brz8b8Ppfzludo7VA50KyRSisk\nkgrpjMLWlw36Y95z3dtYvGT/6CFobxe8vNU7bjIJ/X0iPzh5/xxHkIgLbNsrTZNSkBzRIXJg3+0v\nK3zwVh93fMQiMIoULT5oKQpc/2abr37XK4+rqnWJlEoqaxxSSfj7XWHKqxyiZS7BsKRqkkNXm8q2\n5yfWFOxYcNqRrqZJ6Affp3rVCq56w4X8+JP+IqRr4WsJwiFal0ZVYf8OAzMnSCcVbFPQ3arS3aqh\nCOjtVMlljo+NuZZG964SfHlysq3JI3MHsgkdW5BNK9i2wMoq+WxZMaLywLOxZEzhU+8pxZmzZ5TE\nyphkBTB1aYyWzSVk4jrhCgt/2CFQZuEPuvzpxxF8PpeySpdASFJR42CZnjzCAAqzXQtRSMS+KiEl\ndZ0HufCFx7n82Qf5rxc+UIR0hWE2hkugNIU/kqGnqQbXUbFzBq6jDmmxAVbGwEpPrCvpcAhAoWt/\n7WDGs3cObzvgZRq5Cq6jeg2xpJJvjFXke0iVLX87j3BVDEV1Ge0fixNloYoEZtpHvL0MfzSNETTx\nhXP4whmaN87ETOv4o1k0w8YXyqH5LVo2ziyqZ3amQTz3HPp112HMmcOXl9/D/sZi49jA356/DJRY\nVDVkSR2qxbU1HNPAsTSslM/LLpPg2AqZ/qMJ8Me8QgD6D1ZhZb14MdlRms8Iysdk0iNXHUvLx2Tq\n0P+jYjKFpufnkOgoJVrbj1DGM9GTGMEc/nCGjp1T8EczGKEcRsjEH03T3VhLrM2zPc1nYwRM/JEM\nHbumYmZOvr883SBaO9G+/lOMWz7G87f9nYcfLLwnY8RkIZe5S02a9+gk+lQyKYVsWiGdVNm3Tcey\nPEK09YBWNDt+AlfJoUaNjkOejXW1qpi5gkkinm5jOqHgOgLL9PxlNj2yUs/bd/OzPn77nShXvz2N\n4S/mL4tcgepSMaOVlk1z0X0mvnAGI+jZmNcTogF/NIXuN9F9Fv5oikRnOYmuV7kvHAeC2RTveeJ3\n/OLH/8w3f/ppGp+aX/BucRsDG39lD7mkSl+bgZ1TMTMqjqXQ2+IjE/dsIdZh4BynuD+b0Gnb5cU3\njiXypGuBjTkKZkbFdRSvkYxUsLIjs8K9fc14lPZHLmP6ql1jzC2LX/OkBS0c2jIN11HwR725pT+a\nxXUE+5+dhxHKYgRzaD4bf0mGXMpHd2NN0WOdUXAcxC9/g3rhlSjnXsg73+7LE5Fjx2RCSObOsgiH\nJM9v9JHNKcTiCjlT0HJIY/deb07T1qESTxwPqkVgml7/joH4Zvcub8FgYJyybS871jQF2aw3rmUz\nFIx1Q8dKJQW3vMXP9W+yUUeVXo9tY6sucHjxeZWDLQKtLOfNLatdSkpd/vyTCAIor8rH/dWe9upj\nfw0UPdaZhqWbn+ZTX30/3/jXGzjwBVmEdIVCG/MWU3JEqrO07SzBtRWsjIZjqWRiBr0HvDjMzKhk\n4vqIz08E3rW0vlw6WD3S05QnHPOZ2tL1tPIdU0E6av5vtaiNIRWe+38NGCELw++AGE9msyRckcOx\noHNPlHBFDn/EJhC1CZbl2PtMJek+g1C5ie538Uds/BGT3U9WF8zVjx+Od7YrHCfiNbhrB0uvv4KK\n++/Ff6iFX+29jKEAZIwboTiUTe7FTPmLxiquK9jSWckht5yMHAjmjnU2lSca8tqr2USQ4reg2MRk\nNKSr0rxxJvOveInq2a0oqoNmWAjVAYobmKI7ZPrCuI4YRXJIBFZWH5bZOvA603/82PbTGka+UdhI\n0jUeR73sGsSvfoNoauauPefjjFlu40FVJYvmm2jagF7O8P1cF17e4Q1W8YRyXBum7NuTnzwcHOug\n47QxKdjwnMqFlzjccaeFPyAJR7wVyrGg6bBxb5ZD+3WipcNtzOeTJOMK2gie0+eXHNh50nrtAacH\n6dpOwYKGlFTc9BaiX/4i+u5dtLdoJHM+xBi/5YFAP1RuUTE1S7xPGaXL6boK+/P3NX2cbSwT17Gy\nApkxxhgax2djIJC2QEuHuPSD+/GFbHS/g6q7XgbsGHBMhc59IXyh4RMDf1CSjCnoIxRYIiUujduH\nP+uxSNY1DaVjErPHghNxzKPFnAM7Wb7jRcoSfRhZk132fMSYvs2zMT1gUjql25O7cUdGyQrp3jBS\ngm1qRTWiJgaBa3mZhEhwcsUkEIplo43lLwXt2+s575YnCZSmUDQbVbeLTCwHDuM1tYy1laGow5sn\nKKrEzumjssE0w/bI5+yZTYopDz+McfXVKA8/jNLczP/sW8FYMckA9IBD3fwUyV49v1A47IgeAZs1\ncC214O3jEJNJQTq/sJxJBBgrc/Hwf3twbY0DG2az/M3rKJ3Sg6I6qIaFojpjXqtmWCS7S0DIYfbk\n6cZquI4yPCZTvAnRGROTjQHR1oVx+2dQH1mH0tHNfza9iSPF/aoumb3IJJUQFNMXlkjaW1QcZ0Bq\n5/itoLTs9cbN7vaxBN7GZ2OOLXjsLwFuvCPBmmsz6IYkEHbRdIkyhn9XVYdsPIRt6qjG8PFOEXhj\n2ci4X0C6d3wyIq9W6LbJ937zKd70/N+Z3N/Olt5luHK0PM5wuISrkoTCjmdDI0q7pRR0H/AWJ81U\ncR3LiSLW6cPNa7QWx/hjslRPhGB5kjkXb0XV7YJxbKyPuNg5g3h72aCc3gBUw8HMGKjqcB+g+Wxi\n7cUlM84kKB+4E+VzX0bs2EV7k0lHOnyEuB9qqx1WLMvR3qlijmhQ6bqCzdu8GCQeVzieRhbrF8T6\nvaQeu2ii8nhtzJsDb3lJ4Ze/y1JZ5RIKSQIBiT6G+SqKJ6n20osKWcWrFlXyhzf8XtxvjAi9IqUu\nTbtPk8SaU4hLH/szH/zJp5mzdwuVPW1sj81jbP/m3VQjZFMzK0G61xjVgAopSPX6cBwFJ3cUoqVH\nhMC1BYkubwKXTRSTpRp/3O9agj1PVfO6T2yntC6LqjtoPgdVLz6WCcWrpuxrCSGEHB73K2BmtFGJ\nFZohsS2lgHw+vjie2a5wnKQG6r/xJZRMGpG/G+rg2wF/JwAAIABJREFUgDW2c1QUSS7lQ4jhOhOD\nEJLuDoVwZIA0c/P7jXXMIxC9BXAtFemSz+Q5nAM/MmxTQ9Vcll6/ATNtkI0H8UfTPPWjq/P6FYXf\nycUfyRCsiIOcki+ZG/4VFHX0YC+E9EqQzhAUkxcQv/0D9PYhTO8+aPnO8AKJHOMZqgrEEgqOKzH0\n0d3cQdDbr9Ddo6Brhb/kw9nE+OzFdjw9qGyWwfLIiUJTIREXfOSTFu/7oEXjPoXaSS7vfbuflzYO\nL5FSFElJhU3DfIvG7T5si2GNtKQUqKocZXuWJSg9iqZZx4rTgXQdgNC8G2RsWI+x/jmUjKcV4+bH\nJcHopj8evK2urZDu01FUN6+ZORyZtNfAStEkti0LPns4G+Mw7w/t5ljKKC3YiUAiyKVUZq/upX7Z\nS/QdDKAHHHY8VsWW+2tGTF4kRtChZk6STEwnm9DQ/ZCzB8qFQVW9oK4QZk4MajmNlwA9npIDpwPp\nqtkWc5p3oeZvjkTkSdexBoj8dinIxgJFCLEBCI8gHXakY7UxCUJiWxqOfTjfO05IFTPtI1IVZ83/\nedAji12FVH+IzXefn89iHI5wVQxfKFs0801R3VHa8a4jEIpE1U+zJlgnGdpHP4rIDGleKeMgsISQ\npHoHCKAijVuEJBML4Atn85OAI9nDeGMyiW2qRTXMJwIr68MImKy8+Smy8QBmxkDzWaz96euKcM8S\nXzhLoDRZ9LclVHfU1UsJSIHmf3V0654o1N/+FTI5RH4sUxmYSI393FVFkuj3YpZichBSCvq7FUrL\nxYgh8djjfjMncF2KNi08Wpg5gaLC7Z+L846PJug6pFJV5/DhN1SR6Bs5jjn4omnCFXG69jIq9pJI\nRJG4HwlaIDd6+xmEi3asozLRg+EMxP2ejSlI3DGlQ7zxRMnqoDgwSiNVkEurpGMqilY4fzj2uB/X\nIy3Gar56NFAUiZU1mHbuPqYs3U+qJ4oRyvLyA+fQ3ThpxPW4GKEc0dpeMrEgrqOiFmb8S88vjhL6\nsxX84bG1Ec8I7NqNePBhRNZrBuYO+r4BzmEkPDLIsuHgIW3M+Z1pCdo6VBxVLXj/OMT9QpLNgn4c\nwlnbgv5+wZtvdNi4M8OuHQJ/AB66X+XLnzNGVGFKfH6omZ+iX4BjGSgFi2dSgqpJnBH3wswKomWn\nPvY+ldAsk7f+7w/xmUMN5wTuYeaWeUhI9xuHWZ+RpHoMFM0t0H32jj7mAQ/7/tA+jplPJDrm9U+F\nbEInWpPj+s9vJd7h8xqhplT+8e35eanPgrNLiFbnCJSZyGIxhOaOksOT+SI63X985SxORLYrHKeM\n1+jGFwZJV4A7+R4CmV8xKlYe7WIETaYs3c/M1dtR9dGkoqIqvO29WaY0OJihZlDtgtKxkRNV7+/R\nmaZFzi1cVN0mlwxQOaMDDreCeERIyuuHuqsZQZNobT9G0GTpDc+CGLge77xGKEfdwmZK6/qIVMfI\nJfyDA7JjqWiGRbAsSS5lIKVngLmUgR4wKal99TQEOSzU4msBYu06RGZo0Ho7f0DHoviI4G0rL3e5\n7qoMP/hGXz47djiCAZfb3plk8QKL1efnKC1x8fsLFw0K7Sxfihkstn34uYWAYFDS0S5YtsIZlV1a\n/HNjIxCUTJvu7R8Kw+KlLlXV8IOf5whHJKrqXY+qSgy/ZMkFORafZ7Pq0ix93aqnw4LX9CGXVZi3\nwqSnQx0kxtJJgRCwbPXJCfJPJ9K1EPqLLyCsIcJmDnuooJuhqffIMYdBAvI172rGCBZZNFFcJi3p\nI1fRgVPeS7DULsh4GWlL3jbNNzAmFdriaCiaxMwqBCI2gRKzyH7jtzHpCCbN95oSKSpUTMsQrTY5\n541tlNTmBrO8hOJlIVbPTjJjZT8NK/qxsupgud6MqjC9nSpLzs+S6FPyjUY8HeNkXOGC1w0F+UeS\nFBh4/3gSpqdaxiCajOMWpD0bWJzHBrzoppi/BEW3CZQlmLVmO+XTOovuEyhNUjOnlXBljFBpGqFZ\n+bKe4jY2lAHoDNs+EgMEgWtrlE7pHrF/8c+MBVW3qJrZNnjcUEWScFWc6llt1Mw9xND3dwGvQVH9\nin1UNHQhFImd83yDlJBL+ohU9+ezEj2iw3UFuWSAqlmtRSQzziBYFmLfvmGb3s2v8q+Kx2RCdQlE\nHc65roulV3Uj1CLEtZDUr9hLsDxJtDaGotuHtTGhyPz7h4/JhOIiVBcr7aN6VhuMOvdRRP3CoXp2\n6+Cf/miGaE2MYGmaeZe9xIBtDfwLlqWYes4+Sqf0YgRzg7EXgJXT8IeyGKEsVlYfismSfkIVCYKl\nE2/W8GqAsnXXIOkKXtyv4I6RKebp1EVKJWuuyXDznXF8gdHP1fBJrr45zaQGh/nnmPhDEs0YGZMN\nHRMBuq/YfGD4uRXFi90835RD048tk3bmImswuzVSIpmxwCZSKvnX7/Wh6e6gvwQHPWBSPbuZkrpu\nSid3kksEh+J+W0FRXMIVMXIp/6CNmRkfqmFRWjemsP8ZgSVN2whYQ3HplTyEn8xhYjKJ5reonNFB\nxQXrEMUm7rrLwkt6qZ6RZdKcNIFIYfZV8bhf9RX6ppHnHb5fOqZROS2DahT/HYwXEohU9w9ec7S2\nH38ky8KrN6IHckNjr3BQNIeKaZ1UTOuiZu5Bcinf4EKWdAV2TqdiWgfZeHBQOsg2vTLhqlnt476m\nVyPExs0UpqpP5hBTaEEO0iOjn1lJ1OW85SZf+3w/06aO9pVCSC5eneXcNbBwsU1tnSQYHMjeK+4v\nB6TkhCi0vdHQNE9GIBiE6TPH4ljGB0WBNRc5g6/nL5RMnyF57/ttFi91UQrmlpoGMxblWHNthpWX\nmFiWwMz/NKX0pNQWnZsjkxCDmbiWBbE+dVjcfyaiqusQhc9FAJfxKGPH/RLVsAlVmCx5fStTl/UV\nrRDxh22mr+qmdFKGkposqs/J7zdG3K+5+fcPF5N5FWUIsLIadQtieW6Nw35mLGiGQ/3yIf4qWpOj\nbEqGmrlJ5lzYUTCOuSBcyqZkmH95O7Wzk2i6i5n24nspIRPXiE7Kohru4OKW60Kqz0ftvDhG8Pjr\nCB/vbFc4ThmvZnUNel/P4N/X8gDXcQ/38sb8lqGHpKgWkdoY01fuoWZuK9KFg5tnEmsry2upgj/g\ncuX1Oa6/xeS2r9zH1Cuh/5k1dO+vQSJQFAdFtcnGI4BA1W00v4UvmKO8voN4ZznZuJ90Xwhkweqz\n4hIsSbHixrX4I1kUVeKPZGh8dt5goCSlQOT1eMZeYRegOGi6w9zLthS9J1UzOrnojvtpfHYeic5S\ngiVJ6hY3U17fhRAw/fxd7F/v6ZEhJKrmMmP1ToIlafZvmD1YehcqT9Cwcs+Y3U3PGNRPRWoqwvZ+\nWJPo4LN8ls/yxXyzoiEbU1WXpYts3vKGNB+7I4GqwofeF+fHv4wMdqcMBlzmzrb41Mfig6UR3/2R\nxfd+HMGyXBQFohGXA806lu2t9JWUSMrKYfm5NvF+hV07BR3tgnhs6DIVBcorJP/18ywrVkr8frj4\nMpc7bvOhKOQzLjxyy8zJURlbHoZW4AMB+Pr3zCIaPNAwXbJpV4af/kDjmbUqlmay+poM515oYfjg\ngquypJIKm5725VP2BRddl+a8S3I8+PsgOzcZSCBa5nLjexOjmh6dCJyupCuAW1uL9BkIy8tk0nD4\nPTfxeu4jy0AJ7FBQVFKbZfLCBOfdeAgj4PLa9zbxxI+nY1sKSIGiueh+hwvffYhwuReJHNwa5+lf\nTcPKuSA94jbVr+OYGqrmYARdfCGH0ro4/qhF554w6bhKNlZYty8xgi7n3HCI+Zd2o+qS/lY/f/+P\nuV6jBgdc6UmZuLZStCtu4cq7ajgsurJz8BoLoftd3vrVl9m9toLG9WVICQ0r+pl+Xj+BEptAicWC\nKzp5+fFyXEenD5VFK02uuinFsw8H2PCoH9cF3fAm1POWW1i2O24C9Hg12zqac55IZH1+FDn8d/Y7\nbmY5m+iiOr/FZcDWfOEMJXW9zLt0K4HSNEZwC+t/U4lje7pKQrgIzWXRNS9SXu9N0jOxABv/tJpc\n2gApUA0Lx1Kw0sF8GY+F7vf0BaM1/fQ01WBmNHLx4QGGottUzznEwqs2omoudk7n+d9dSKo3zECm\nrlBcpKsO+u6xIDSb6KQ+qma1jX5PwNLrNzBlaSPNG2dhZXXK67uYtLCFUJlHbs187cs0bZhDNuEH\nKQhWJJhx/i4SnSUc3Dzdk+gBqmcfYvLipok8mlcPNA3CYUgkBjf9K9/kHt7IJs7Jj2BD/tIXsqmZ\nmeX8Gzuom5cml1Z44f4QTjqYf64SRXOYfdE2Ji9uAVpwbMHGP60m0RXNZ7o4SOFixiMgJEbAxR92\nEVqCsvpO+luqyaYMsv0hCtf7heoQqY6x4q1r0fyON+n8G3TsmuyNTkq+OgNxGBvzxjKh2Bghk+mr\ndhXda9qK/VQ0dHHguTmk+sJEqmNMXtxMtLYPIWD2RdtofHbeoISAHswx69KtICQHNswhl/Ayyksm\n9TLtvL1nVLPTYpCV5dDaOfj3+WzgFu7it7xrlI1pusuMBTZXvi3NRdd5C+iLV5lsXW+Qy3j24Au4\nLF+d45qb04NZZL/8SoTnHvbjug6qLjF8kq5WDdcFv18SjEqipS6LVuY42KjT2arQeUgdlnGoapLy\napdP/bCX2qleY5q66Ta/+24UoXg5NY4DQgiswWY6o74tIFBU7xre9++xIvvAvOUWP3usk7/8PMy+\nbTpNvU3MXt5CeX0HQkD9ObuQriDWVuXFZIpL/YqdRKr7aX5xHsluz0f5o0mmnbsTzTizM/c7Sqsx\nVQ0jv4JbSpzv8BE+xH9hM1ACO2BnLuGqOL6pzUTO2YJQJRfc3MX6P3oNGAFUwyVSaXL+jZ0YAc8P\nb3u0jOf+WI1jeaSEL+gQ7/R5cnC6xB928IcdqmekcR1B14EAqT6VXLIghhXefpd/8CANy5KoumTu\n6hj3frXBoz8cb2FQVb34v7h28UBM5vn0+ZdvKrqA6I9kufhD99H0/Cy699ei6ja18w9SPasNzWdT\nPbsNK2PQuXvy4Gdq5h5k0vxmDm6ZQc+BakCg+SxmXLCDUHnyGJ/SKxy1NUP18nhP4H95MxfxFKnB\nJqVDcf+MBpsLX2Py1c/1U1Hu8uNv93LDO6rImV6fDl33Gsr+36+ZzJjr+c+Nz5vc+QGDZBJcCZGI\nS1+fQrzfq0iMRiQlZZLpM12mTnV5bp1Kf5+grXX4pUYikltvt7jjIzZ+P7Q0C958jZ94DGzbu0qf\nAbncWM2yhuL+QEByw9ts5swrsgBmwN8eyXLv3Sp/+YNGR9xm+Zosa67OUV4tAZvr3p3ioT8GSca9\nSoLZSyxe/84UG9carHswiG2Dpkkue3OK5a89s6tD4tFyNGf4WP5z3scLnMshpuStayju90ctqqan\nWPHWFkpqs0RrshzaVoqdU3FtJZ9AKLngPfuZutRbnMkmVB7+9jzSMa9JveZzvarbfh9Cleg+B1/Y\nIVBqUj0zSev2EnJphVTX8J4Qqu4yaUGMi96/F0WXuJbCw9+ZR09zMB+LeZVA0s1rVRdF3l/qDtHa\nDNNX9hTd6/xbmpmxqpcdj9SQietUz0ow4/weSuu8GGH5DS1se7COVJ9H0oQrciy+po1kj8Gux2tI\n9RkIAXWL+pl3cWfRc5yOEEejBzdvyTL5i3sfHbW98u93M+uTd6Jm0oPbbJ+f/1zyfb7T/R4cF6qX\nd9CZ2EtV1EdJbR+BkqF9XUdwcEsDB16aQllVgNtvF1x8tYkQcNtX7mNaeRArq7N37QJSveHBgDda\n10NJbR+xQ5WohrfKGamODWXpuLB//RzaXp4KrkJ5QyfTz99NIDp89SUTC9BzoAbNZ1E1s51EV5Sd\njywl1lrByHIOzW8SqUxQUtfLtHP34o8e20pOLuXDsTT8kXR+dckLOK184wY9YJ4WAf4/vvrWF6WU\n557o86xYtkSuf+Tvo9/Ysxf1smuHZb1KTWVt7Vv4SNmv6elXuXR1mmuuNLEdmD/XZuE8a/DeSQn3\nPRTgR78Mk0gK3vbGNLe+I0WgIOvCtuG7P4rw+NN+bwFUSqZPc1h9FWx6UcWRGqsvdDhvlYtWMAe8\n9y+Cn/7QINYvWLjY5fYPWyxdPvx3FY/BI/9QsW3BJZfbZLOCr39J569/1kaRr7ouWXqOy/QZLrfd\nbrNw8ZEJ0bUHvMG3GDmVigsSMYWSCndYg6500mvuVVLujqlNdjwxHtL1Z+8874TbWaGNtRMZlBog\nm6V20TyU3p5hGfz7fHN406IX2N2oUTE5y6wLu1GkQqTapKohjVIgU9G1P8jW+2uId/mom59g0VUd\nBEuGHK6U0LihlN1PVSLx4j0j4JCJPEeuvxw368df1Ulw0iEvoyyP+Q0X8PyfppDs8hGpNll4RScN\n5wyf/Dm24OCWKJmYTu28BMESm60PVrPp3kn5co6C4FJxqahPE6qwmH9pF1OXHFs3yO6Yw2UzphOK\neI3cBpDLQDqpEC510fWh7NWjJUEPZ99HwshzTikLn3AbmxUtk98699Ki712w6SnKY72oBQRslyjh\nooYnaOyZhRHMUr9sD4ouMIImpZN70IyhldxMLMiBDbPpb60gXBlj+qrdhCsTw84Raytl37r5uLan\nTykUSd3CA1g5g3R/mFB5gqqZ7fhCQ9lEmYTBrkeXEm8vQw+a1C1qZurSRpSC2EpK6GupJNUbIVwZ\np2RSD4e2NrD78SXYuRFaUIpDqDyOL2RSt7CZSQubB33cROC6npyCorr4wtkhP+8IrHyGWOF9OpU4\naf5yxQr5zLp1o7arn/882ve+h0gXxGT+EDfP/SP/aLvUy/q6opdwqY3ul0yakyZYMnTvHvj7y7iN\ni+jcU4cRzDHt3D1UNHQNO0c2HmD3kwsx077BZ1E5o5UECSaFFxAqs3CMLYPkOXi6nXueXEh346R8\n5nwrDeftQQ8Mn5QkuyP0HazEF85SOb2dngM17HxkCek+b7F9EMLBF8kQLMlQMb2d+nMaj6lDt5SQ\nSwSQrsBfkh4WP5hpH4rqnjYdwE+ajc2dLp/54RdGbVee34L+ue8jckOTasfw8dM5/85/pP4/LAtW\nXZph9lIbpGDGAouaKc7gPXUcWHtfgMfuDiAEXHZDhtXXZIYtMmfSgj/9KEzzHg1F8Z7D9HkWc5eb\n7N5soPsky1abzFxgDYv7H/h9gMfvDmCZCvPPMbn+n1JMqh8+NvR1eYvShk9yzoU5Og+p/PrrUV5+\n3hgRk0n8IUnDHIvp821e/84UNVPGN8584hv3MrMqPGq7mfZhmzq+cHoYuWZmvMUyPZA7LeL+R771\njpNiYyWTZsrXvOdro7ZXxnv42c/uHJb16gjBY741vKX0z+RSAUom96BPaQSp4iuN4avo43WvWza4\nf9PmMC/dX0EmrjFrVYwlr+sdJF0BpAubHyxn/4vRQW3dUJnF7AtidO4LYOcUJi9MMWVhclhB3v4X\ngmz4Sw3puE7l1CznvKGbyfOHxlsAM6Owf2MEO6swbVkCBKz/YzVbH6lglLSJ4lI7K0NJtUmu8lmC\nNd5C6tSyIBOBndMw077BZlqF2x1Lwwhmj2vPgWPByRjLxpxbOg7quWugtW1YBn+rbxrvX/UiWxuj\nzJhmcdu7k7iuYOpkr2GzryAXYtsOnW//V4Sde3SWnid53+1ZJk8bPs959CGV//65p08pFAgE4Mab\nLQ7sV2hvFyxZ6nLRpQ6RAlnnndvhy58z2LdXoW6K5J3vsbnuBmfY2GDb8NTjKm2tguUrHKbPkPzi\nJzrf/pqez0gd2lnTJfMXuFTXSG56p81V1zpHHGcOF3tbJvR0qASCclBGDLwKt1RcIRR1MXyjPnZK\n8JbFdSfcxiob5svXf+bXRd+744f/xtKtz2BYQ/4ypkW5asETbDk4D1/YZu5Fbeh+gS/kUDUjOSyD\nM92vs/3hWjp2R4lUZVl4VRsV9cPHm75DAV66ZzK2qXgEqQLTV3bjOArxdj+RqhxTlvQTLB2KYbIJ\nlef/p56ufRH0oM2MVT3Mu6QTtaAqRErobgzTdzBApCZHzZw4+9dX8MIf60dpwArVIVKVI1hi0XBe\nLzMv6EI7TE+aI0G6kOo1EAoEy8yCuN/Tn9X9DvqoJpfHjgGZgaPJeH30O+8el40dF+IVoO5n/0X9\nd7/uHdS2+cLcn/HVPbd4HUpd8PnBP2Mnq657+bDnaOpN8/N/uxbwSFdFDDkeKSHZHcXKGPijaQIF\ngfGJwIENs9nz1MK8dqNCuDLOOW95Bl/4zNNdOuXEKyAefQLlw//iqYo7Do/MfB9vbPwejhTkcgrh\nkMvihSYP/6VzmFM8GkgJTS0qTS0aFeUu5XM9EnaQnDvOePIxlTtu9Q2uVobDkl/+LsfS5eMfSI6F\nlDpZGG+m6yklXgFt9y7K3/suxL69gGBnxQrWJB8lY+nkMgqaz8EIOFz/+R1FM0THi2xCo++Qn82b\nd2CU9aCoLtMqig/wTT0ecXHxZedM6Fyxdh8PfnM26f58MyIpWP2eJmav7p3w9ReiL+Pdh5te03DE\nfY818/Robb0Y0XuqiVfNMlmx/Xmq+rqQQpAUIeYGt9CTrcOxdBTVRiiSFW97hrKpEy81tU2VZFcJ\nUgoiVbFhk6/jDTunsenu19B/sMLzl7ZK/Yq9zLlk62lBIJxsnGriFcdB++QnUX/xC9A0pO1w25wn\nuGvXCi8oF14m4Jp3tbL06tHjwEMPvTSuCb/rCJJdJdimRqg8iS+cpaUvzZVXesTHjud3H+tXHISU\nsPORpRx8aQaK5uA6KuX1nSx943OnDeF+MnGqiVcA9f7H0X7yB3BccBx+PP9bfGTXh3Acget4DVdW\nXprlw1+JTXgckBJa96v09ahUVDvU1h+ZLDgWPPK/AX71tehghVLVJIdP/bCP6slHb2NjEa+vFJxq\n4hVgYcsO/vXe7xHNJFCk5K8l13FL4vc4roJ0NIRmYUST3Pr9Q8MI1fEiaXp+Mdmjk+jwYYQcyqZm\njmsyQtgYnq3fujPI374+DTunQH4svvZfmpi6aLR8yUMPvTT4eqIk7OmOU0q8ArQcRLn1g4jtO0BR\naS+Zw0p7HX0ZP6mUQijo4vdJ1j7QweyZxeOogUa9h5sr9vfDru0KugHzF7oEAsf8tcZE60HBu270\n0bRfQdM8gvbTXzB5923jiwMHYm04veeW48WpJl6NXIbbfvlFlm9ei6Nq5ITBqpIX2dffgJ1TUTRP\noubi2/cwZXHxiorxwDYFfQeDuLZC6eQ0vtCJi41sU/DUT2fR+nIpiubiWAozL+ji/HccOCnJXCcS\nTz+58ahlBsZLvB63Nuat77uDtnfdiv9gC812HV+5fipmbig6ymYgt2s2u+c0Mmfu4bNEb/vKfYOv\nCx2NEBCpOrbMrKNBw8o9TFm6n3hHKUYoR7giceQPncUJg7zsYpytG+BAM04gxM2XLCOdHUqPSKYU\nNm81+NlvwnzofRMrnxECGuodGuqdcTnSY8VFlzps2p1myyYFTff0W49mwHo1ka6nA+w5c+l8Zj0v\nPrcdXUj+7QtLiD9nDOpl2TkVx1J49q6pXHFn44TP89yGDQD4KxmTcB3AtIrQIPk6EZTU5njbN7bR\n2xzAyqpUTk8d0wpkIY6WdD1WFEoPwNh2P9HM2pMBWzdYv3Q1hplDty1+03kLXc2TkY7njl1HAwc2\n37OSi+64f8Ikg2Y4lE4+PuT6Ec/lsznvprWk+0Nk4wHCVXGMwJldXnZKoarY3/oW9uc+h2hr46mm\nBv54Uxg7H5NJmQ+a/7uOWa+JEyqdGCmvqJJobf+RdzwOEALmX7GZmat3kOyOEihJD6ucOouTD+ea\nS3CuWIPo6KJbVPLR9793WNyfywg2POZn87oMy1ZPbDwQAibPcJg84+SQ65e/OcOaazLs264Tjkqm\nzrLPyMWj0wUvT53Puz74I2pjnexP2Dx77z9hW0MxubR17EQJL9xjcsFNHWMeZ4BgLYb3nD/tuF7z\nSPz6ueHyN9EZcd7+w610NwYJaBo1M9PDKksKMbCIBcNJWHj1ErEnHVOn4D50L7R3QDbHv3x1Ge33\nBAYbMqfSCumM5AMfK+fRe0aXNI93rlhaCqsuODmygXVTJI88k2XXDkFfr2DxUpfQONeAXgnzyqPB\nwBz0VML0Bfjh7V8mlIwRTsZ4escy9v2pATtfru/a3r1e+7NZ3PjtjfRmx5/gVxkuSB4yJFUzTo7+\nvGZILv3QHpI9BsluHyW1GQIlZ7Y8znhw3IhXAOnzk5k5m6d/6ysaqEhHJdZYD3OLa3ABTCsP0tSb\nHnx9qqH57EHtvLM4DaAoMKOBzZt1crnRRpbOKPz2j6EJE68DOBmk6wB0HVasPHpn/Epwjq8k0rUQ\n6do6NFVh63O+Ud22pSto2TxxQu+JR70ShiMRrscTQngNs44njoZ0HcDxIEIHjlFIwJ6I85xomIYP\n0/DxZOfFg6RrIeycQaonMkpG4HRGsDR1xjcdOq0QiSAjEf7yQ5V0EY5SUSUHNkZYeOkrp3mnETTP\nxmSnE3QNOWUSjz0+DV2Xo+KyXEbwzIOBCROvpwK+ACxYcXpISpzJaOkbGrRaiGDKEDI3Om5yLIVd\na0u54KaOMQnWw5Gr0j0+C9HFIBQx9rkv8EjZtMOovpUjs2RhNAlbeH/OkrDHAbU1ANz7j+Ag6ToA\nKQXPrPdhmgz2BRmYJ8LJmStOBHPnj2yyNDZebVmupwPhOhKpcAmpcAn7flMzSLoWwnVg7w6D8uk5\nrl819YjHu2d9C93JId9aSMKeLIQrTMIVrxz/fqpxXInXAej6QGe+4QOXqnqivGdxFscKXffKwIrB\nd4zZfCeTdJ0ozpKuJweKWtzOvGZ8R4+JkK5NPakJywycKBwt6Xoimlu9EsjV8UATxSeKUoJy1l+e\nxXGAbjDYsGgk1GPs8H4WZwGgj9EAViietuA896zyAAAgAElEQVRZnMWRUEgkDqCQbEz2aPzqT8U/\nK1SXpGmPIjkHSNUjkavnTo4c9v3B46XjiGD0yDvm8cKhwy+cvntlPeARtAP49XNNRQnkQjK28L7A\n2WzY4wltjOxjIRisSHwlzBOPBq+EOeXR4HSff44V26uKwiVLqmlYML75TSE5W0jCngoC9izGhxNC\nvL72CpPvfG40saBpEJ154IifPx0yXScK21RJ90YwQln8keyRP3AWE8Ki+RaVFS6p9PCmQaGgy/ve\nPfFs15Gan6cjntzXT8tejVBEjGoYcbrgdHd6cORnLQSsujzL+kf82NaQjSmay8zzJ17CfbSk66mA\nlJ42rGMplE0Zrnc2EdL1LMbG6+oe4seNtyLtwt+KJBBNEyx7dWePZhN+zJSfUEUcVT9rJycKN9/s\n8vOfqWRGJL1LVzD9nJMn33QqYGV10v0hAiXps/IXJxBXnNtWlNg3DMkl1x/faovTDWYODu7TiJa7\nVNaeHceOFqbtDpKuIwlFKJAJiNiUTs7S0xQY1pzK53d553sc3rayfhTBOkCoyvThx7kjvQ+gNQ2R\nm/a00ddZDCvKxn5vgMB94VBi2HUPkLGD+yle5/jv/rkDRZWU1A01XxsgYw+XDQtnidijwS1vTfLz\nu8LkckOBr6ZJrrkig6a9uknX9haVTEpQP8se1kzulYTTff7ZnTSZtKqNzn0RnBFZr4GwS/28icUp\nAyTs6U7AZmI66T6daG32hDTGOt1xQn5WpeWST38ryZc+Hs53IpW4ruADn0zxj/YY8Op0APufm8Pe\npxcgFIl0FMqndbL0+vUntKnJmQoh4C93dXHlDdWYlsC2AQFvvDbNzW+ZmO7bK4F0/c/fZvjhZ2qx\nTC8Qq5ni8Mnv9Z1WBOzp7vSOBrd9Kkbzbo2uNhXTkigKlNRkOf/mgyf83BNpqjVAihbDeJ9Hf6uf\nh747k1SPAQJ0n8sltzcyeVFiwqTrqyU79UTg8rpHucu6inTLFMDLplY1h2VvfvYUX9mJg5XV2fzX\nVfS1VKGoLlIKZl+0lWnn7jvVl/aqxLJlkn//d4fPfl5BCIlQPNL1mo834Qu9OgNf6cKOR5ZxaPP0\nwQapkxY2seCqTSgTrFg4i7ERCtj85Bdxbn2v1x3edb3y3Ov/Kcmcpa/esv2H/hjgN9/yvrNtC2Yv\nNvnEd/qIlJ61sfEiWhIcJA4PJxUgXcllv8hyx00+shmBbQmEApdeLPnShzPoRUKcQkJ1gDg12ycW\nvw2jQyZ4DACj1vP1A+Tt4cjZF/sEL61X+eyHI6ST5UgJFdUu//H/t3fn8VHV9/7HX2dmMkkm+04S\nQhL2JQQIsoPgAuIG7lSr1q3Ltbbe29Zu3t+tVr1tXWq9LrWtbbHWBQURBAUVAdlkEUHCTkgCJITs\nezLbOb8/hgmZJECW2fN5Ph48HjCcM/Mdcpjv9/ue7/l8/1zP0FFqp/qx0PVqWAliu+/JR+vYsTuU\nA4dDsNsdi8ZSU+w8/pwlIOaJ3dU+cK0o1fOHh+MoLTSgM2gY9PDgE7VMvjxwNhP357ln+3IAC6dk\noE2GN6qb2b7WsRBHr3eUfvrhM+V93pjKXwNYq1nH5teGcGpfLHqDimpXGHtNKbnXlfpdHfWebqzV\nEx77PuOyayzkTathyzojNitMv9xCYorG2t956hV968zhNI5tGY1qO/dPWlWczL5Vk5gQxBNoX8od\nY6XomxJWfxJOeaWeWdPM5Izq3QA/EDrTpZsaeP6RZCyt5z6VTx1XeOy+BF5ZW47+PLfHeJM/d3y9\nERWr8dz7leTvMFJSaOCo+RTDx7X0qZNwBqoXWvna09C1feB6vlC0fb2j8/18VJvCqv8dQUudAedK\ncptZzyfPD2Xeb/dgiu9ZTVeQ0PVi9IpK+tyNxFvTqC1JIDSilaShp9Hpg3fivnfFFKpPJKGpelS7\n44PryMaxmOKaSBpS5uPWBaef/sxOfsxBKvLj0BtVBk+qJyxIQ1eAwi9HULIvC9V+7ho7fWAQxggz\nw2fv93HrgtPsOVZeWVvGns0mzC0KE2aaSUrzny+F3S1/h5HXn4nG3G5MdniPkaf/M44nFntnY8Ng\noKqaS+DaccUnOEoFTIzTmBhn55r8atZ8aqSkVMfkS2zkjbdhKN5z0UDVGX1UfX3wom2qPdK7LwFj\nhw+56DEJE87+5iLt1U25joFWmH9/DE1N5wadJcU6fnxHDO9vre5ydWzHMHb6nByXMgUSxF5YZKTG\nljVn2LwtlH0HQxg22MaY2SHodMG5ylXT4LEH4qko0Tv2tDhbp/tPv4jl6SVVDBzs/4vH/HHu2T5s\nBdeyAIoCd/+qirm313P4qzAiY+zkzmzBGOa+cb+/BbDbXs/m1L4YVJuubTOx/I/TiEo2M3hKlc/a\n1dHmjbsDM3gFiInTuOaWwPm2pC8Kt49Atbr+c2p2PZXHB2BpMcotbh4SFgY3L+jbbWyBELpuKqrl\n8/ejsHcs+K4qNDcq5G83Mm66b68xf+z43EGng9ypFnKnWqjbVo+i9P79OYPUDet2X7CMgDsD145/\n/862Ipfz2v+8Tn4Tjc2so2N9blVViDwxnNuu7X4ZDykx0DPRKXVEp9T5uhkeZ24Mo+Zs6NqeajVQ\nuH24BK8eFJlgZcC8/hEIFe0a1mlMptoMnPhqqASvHmSK0ph9fXCXFnBauTgCc6trX2m3KRzLN1Je\n4gffhAeIhAijS4CoqXYuSei87EuzWdC++gQ9cG0CkACYQd3uCFXbB6q9DU6dCjsvJO2WbC7+uudr\nW/vQNmHCKNTtq3h72Rjs1lhcp+sKqlXj9DYjN9/oOsfeVWXvMrh+fceJtt9Pn5MDnCtTIEFsZ4oC\ns6abGTbdCIT4/Ryxu7qq5Xp4Twh1VbpOGwnbrApr3jHxwK/9txyRP847O65uvZDULCupWZ69I8Qf\nAlhrq47i3fFtgauTzaJn30epfhW8zpyd59HwNUArePgfc2NYl48rOhWrBK9+KVDq9GwqqiXEoKOm\n3NApeIWz9TirfDvI98fOry9mZcW2/bt3VNNi7fP7dMdmWT297d+p/fEdQ9iqSl2Xm4mpNh1VZ7p/\n/4uUGBDnY2kOdWyyae/8mWVuDPdBi0QwsrV23a/bLQY0Db+7tU0EnupyPR2/pATHZmK1VcGxSY03\nmAwwMe7sJlhnw1X1WOfjnMFqd0PV3oanfdGX12wf2jrf44EdCbRaOk/VrRaV0zsPoKa5rt6dOHEe\nSodx664qlbsvSUfRnetzX99+om2VsTOIBdcwtr3+GMQGyhyxu863gVZtpb7L/lC1K1SV+e8XSP42\n77SpWluwebHA1Rc6BrDeDF8tzQYUpevVvK0N/vHz8xYJXt0kIauckn2ZoLl+oCl6jfDY4N4gJRAF\nSofaPvwbN93CjvVhmFtcrzG7XWHEeN8F+/7W+XnSt6ZltYWVvnq/vQ1cu9LxOU6lGNj3ro6ON4eG\nmVRyp3bvGpPQVVxIRHzXuzwrOjuJWWe83BoRrKIH1FBXmtDp8cikOgldhVuMm9HKqeMGl803AVQb\nDBpqg7U+aligaapF3b6q7Y8FS1Zd4GDfBKre0NX7GqTfT5h+Lq121y8lFdXGoJKlFCwpdHk89uuD\nJEwY5fJYHqB0CGS1SemO57lIGHu+IBaCN4x1zg/B/+eI3eEMXKFz6AowLNfS6TMMHJvWjZ/hf3ct\nd6dsmi/ERhj9MnDtqH0AC95Z/WqKtRASpmK3ugb5iqIyYETXc4JgJcGrmwyZcZAzR9IdqylUHaCh\nM9gZeeUe2cjBzwRi6AowfX4LKxdHcPqkgvVsDZ7QcJVZ17aQkuGbOmqBGrr2pbyEL8NXd4auXRk4\n2Ma0eS18+dm5gN8YqpKaaWfKFa0XPV9CV3ExOoPKiMu/4dC6cW23gis6O4ZQG9nTDvm4dSJYjLxy\nL7vevhS7Tef4QlxR0RlURs/rHCAI0RsL7m5mwwoTTfW6tuAiNFzl9h81EGaScX93mavrOoWtwRqu\n9tTEhN1kRhRT2JiNRQ0FIFTXyoT43YQ1FlLYofpTNgVdrwhesoohi65r+6PznitHIOsYC0+cn8Gu\nKrVTGIvSeVVssJYnCJT5YXedb5VrewkpKvMWNfHZUlPbuD8kVCUhRWXOgt5tVu0pgTrn9EcLp2R4\nrfyAooMp3y5i8z8GY7c4ytkpOhVDqMqEG0567HX9kdeD15mX5bB5fT6Z8YH/Ad1eeEwzM+77lONf\njqC6OInwmGaypx4mflClr5sm2gmUTrWr29yNofDUm1V89KaJrWvCCTNpXLWoiVnXXjwQ84R3thX1\n287P2+GrpwPX9n74ZB1jp1hY+64Ji1lh1jUtXH17E4aLvE0JXUV3ZYwvxBTbROH24bQ2hJOQWU72\n1MOERfnms0wEn9i0aqZ+Zx3Ht46k/kwsUUl1DJ5+mKjk4K+jLLwjJkHluaWVrPhnBF9vCSUuUWXB\nPU1MmOl/q8T8mdkiQev56BWVJ8Y/xsclV7HhzGwMip15aZ9yeer6Lo8/379jduZ5VhJ3EcgqE+cB\njnmSM4wFx+rY17efoNFscwliAbZuyA/oILa/rXLt6J5HGhiRa+Wjt0w0N+qYNq+Fa+9sJtRPqj/5\n6yrXQOfN8gNZl1RjirWw76M0GipCSRnewNirS4lM7F+lOL0evN4zNZPN6/O9/bJeERbdIqsp/Fgg\nhK4X+3Yy3KRx83ebuPm7vi1f0R9C1wvVeQXX8BU8MxjoyeZZ7qLTwZyFLcxZ2P0NUiR0FT2VkFVO\nQla5r5shglhkYgO5C3b6uhkiiMUmqnznkQa+80j/ul1SeI9Rb2XhoFUsHHThEgwXcsFgu2Mgu2QV\nmQvnYghzrLA9F8baXIJYOBfGTp+d41Lu2Lkqtj1/DWIDYW7YE91Z5dqRosD0+a1Mn+9/X37LKlfP\n81b5geShjVzx4yMeee5AIaUGRL8QCB1rbzpLX+gPoWt3OcPQjptUQe8HCR2fx1uBa29J6CqEEEII\nEXi6CmUL/+9TsjPbPXA2nM1cOJe8s4GsM4zNuzKFr+rOxQnnC2O3bui86MrXYWwgzA17IlDmkd0l\noat3ebP8gD+bOTuPzRt3k5UY4fbnluBVBL1A6FgDpbPsj6Gr1aZe9OfSVTja/taYnvL3sNVJQlch\nhBBCiODS5SrZFZ+e+30Pwth/7SxxBLHQFsZuXt+5PIG3BMK8sCcCZQ7ZXRK4+k7H8gPQfwNYT5Dg\nVQS1QOhcA6HDDKZO0Ir+4ged5Sw30J3wtSNvh6fOENTJ09eThK5CCCGEEP3DRVfHtgtjcwFDWCjK\nxHlMvDIFwCWM5ez+cwf+4rn2diUQ5oU9EQhzyJ4IpvlmIPNm/df+RIJXEbQCoXMNhA4zGDvBnlwT\nzvDV33QMWuFcCOoMi9tz5zUmoasQQgghhOgYyPYkjH3NS20MhDlhTwTC/LEnZAMt/9Sfyw8UVTa5\nvdyABK8iKAVCBxsInWYwhq690T589fXPq32ger7gs6vHe7rLaW9fWwghhBBC9F/dCWO9xXmnmz/P\nCXvCX+Yj7iJzTf/WH1e/Ouu8upsEryLoSOjqHtIRuupL2YG+ckfg2f68jit4L/Z+JHAVQgghhBC9\n1WXdWC9QFMWv54Td5Y4FFP5EVrkGlvYBLPSP1a/uXvUqwasIKhK6uoeErl1rH76CZ3+GHUsFuDPw\n7BjCdlW2wFOvLYQQQgghhOieQJg79oTMMwNXfyk/4IlVrxK8iqAhoat7SGd4YZ6qo3qhmq2eJKGq\nEEIIIYQQ/iXYVrmCzDODQX8qP+DOVa8SvIqgIKGre/SHzlBRFLc8z8XqqLrrOYUQQgghhBD9RyDM\nG3uiP8wx+5tgLz/g7lWvEryKgCehq3tIh9h3EpwKIYQQQggheisQ5o09IXPM4Bbs5QfctepVglcR\n0CR0dQ/pEIUQQgghhBDCNwJhztgTMr/sP4K1/IA7V71K8BokNE3j+Lb3ObXnUyxN9UQkDmT47DtI\nHDy+07FnDm/n+LblNFaeQG8IJTp1CONv/BkGY5gPWt57Erq6R087xdaGWna+9wrFuzdiaW4iMnEA\n4xfcy/CZ1wJQfaqA7W/9ieqTx2htrCM8Jp6BOVO55JYfYIpN9NC7EMFC0zRefO4Z/r34H1RVVjBs\nxEh++T+PM+eKK9uOee73T/H8H37X5fm//H+P8dBPftb1c9ssHmmz8J2mmtMUbV9JbckRGitPEjdw\nFJO//fhFz7O2NnFo3WLKj+wEVJKGTGTk3Pswhke5HFd+ZCdHN71Nc3UZ4bHJDJl5K6mjZnjo3Yhg\n0d0xWWPFSQ6tW0zNqUPoQ0IZMHIqwy+7C4Mx3EctF4FC0zSKtq/k1DefY22uJyIhjaGzFpGQlXue\n41V2vPkbGs4UMu6Gn5I0ZIKXWywCkaZpLC0+zNrSQuqsZjJMUdw1OIcJCSltx7xdeIAlRYe6PP/O\nwWO4JXOEt5ob0AJhztgT3Z1f2m1W9n64mKObP6KppoKIuCSGTp/P+AX3og/pPMfXVJUPHruHysKD\nzPvJH8mcMMsDrRe95Y/lBzRNY9/qxRz54gNa6muITcsi76YHSc+Z2unY4q/Ws+/jf1FbchyDMZSE\nrNHMefB3bP/yYJ9XvUrwGiQKv/yAgi1LGTprEdHJWZTu/4LdS3/PlLueJCZ1aNtxp/au4+Anfydr\nygJGXHYX1tZGqovz0VS7D1vfcxK6ukdPQ1dLSyMfPvU9QkJNTL/rEcKiYqkpOY5qs7YdY21uJCop\nnWEzr8UUl0RDRQm7l79GZdFBbnj8dXR6+dgR5/fy88/xp2d+z09/8StG5+SwfNky7r39Vpav+Yzx\neRMBuP2ue5hzxVyX89auXsUrL/yRy+bOc3lcwtbg1lRxisqCr4lJG9ajfmzviudpri5lzNU/QFEU\njmx4k6+XPc2UO59oO6bm5EH2LH+WjLyrGHnlfVQW7OabFS8QEhZJYvY4T7wdESS6Myaztjax8+3H\nMcWnMm7hf2FtaeDIhn9jbqxlws0/9/E7EP6uaMeHHP9yOUOm30xUcianD2xhz/LnuOT2/yFmwJBO\nx5fs24C5odoHLRWBbNmJIywpOsQd2aPIjoxlw5kTPLVvK7/Lm82w6HgA5qZmkRc/wOW87ZWlvH/i\nCHnxKV09rWgn2DbQcs4toXvzyx1LXuLg58u45Jb/IDFzBJVFh9i19FXMzQ1Mv6vzQopDGz6gqfqM\nG1ssPMGfyg/kf/wv9q76B+MXfpf4jOEc/3INn7/4M67+5V9JzB7ddtyRL1aw/a3nyJl/J5fc8hDm\n5gbKDu1CszvmF30tOeCxBKSyXGHt+6Hk7zZgitS4dJ6FGVdaMUjm4naq3crxbcvJnrKQwVNvACBx\n8HiaKk9RsPk98m79FQCW5noOrVvMyLn3kTH+3OqxlBFTfNLu3nKGri1mIyve1rNxnQENuHSOnYU3\n24iMuvD53hCMoSvAnpX/RLVaue63r7atkE4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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for i, (name, clf) in enumerate(c.classifiers.items()):\n", " x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5\n", " y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5\n", " xx, yy = np.meshgrid(np.arange(x_min, x_max, .02),\n", " np.arange(y_min, y_max, .02))\n", " \n", " cm = plt.cm.RdBu\n", " cm_bright = ListedColormap(['#FF0000', '#0000FF'])\n", " ax = plt.subplot(1, len(c.classifiers) + 1, i + 1)\n", "\n", " clf.fit(X_train, y_train)\n", " score = clf.score(X_test, y_test)\n", "\n", " # Plot the decision boundary. For that, we will assign a color to each\n", " # point in the mesh [x_min, m_max]x[y_min, y_max].\n", " if hasattr(clf, \"decision_function\"):\n", " Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])\n", " else:\n", " Z = clf.predict_proba(np.c_[xx.ravel(), yy.ravel()])[:, 1]\n", "\n", " # Put the result into a color plot\n", " Z = Z.reshape(xx.shape)\n", " ax.contourf(xx, yy, Z, cmap=cm, alpha=.8)\n", "\n", " # Plot also the training points\n", " ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright)\n", " # and testing points\n", " ax.scatter(X_test[:, 0], X_test[:, 1], c=y_test, cmap=cm_bright,\n", " alpha=0.6)\n", "\n", " ax.set_xlim(xx.min(), xx.max())\n", " ax.set_ylim(yy.min(), yy.max())\n", " ax.set_xticks(())\n", " ax.set_yticks(())\n", " ax.set_title(name)\n", " ax.text(xx.max() - .3, yy.min() + .3, ('%.2f' % score).lstrip('0'),\n", " size=15, horizontalalignment='right')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Django Shell-Plus", "language": "python", "name": "django_extensions" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 1 }