{ "metadata": { "name": "" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise to detect Algorithmically Generated Domain Names.\n", "In this notebook we're going to use some great python modules to explore, understand and classify domains as being 'legit' or having a high probability of being generated by a DGA (Dynamic Generation Algorithm). We have 'legit' in quotes as we're using the domains in Alexa as the 'legit' set. The primary motivation is to explore the nexus of IPython, Pandas and scikit-learn with DGA classification as a vehicle for that exploration. The exercise intentionally shows common missteps, warts in the data, paths that didn't work out that well and results that could definitely be improved upon. In general capturing what worked and what didn't is not only more realistic but often much more informative. :)\n", "\n", "### Python Modules Used:\n", "- Pandas: Python Data Analysis Library (http://pandas.pydata.org)\n", "- Scikit Learn (http://scikit-learn.org) Scikit-learn: Machine Learning in Python, Pedregosa et al., JMLR 12, pp. 2825-2830, 2011.\n", "- Matplotlib: Python 2D plotting library (http://matplotlib.org)\n", "\n", "**Suggestions/Comments:**\n", "Please send suggestions or bugs (I'm sure) to *clicklabs at clicksecurity.com*. Also if you have some datasets or would like to explore alternative approaches please touch base.\n", "\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import sklearn.feature_extraction\n", "sklearn.__version__" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 42, "text": [ "'0.14.1'" ] } ], "prompt_number": 42 }, { "cell_type": "code", "collapsed": false, "input": [ "import pandas as pd\n", "pd.__version__" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 43, "text": [ "'0.12.0'" ] } ], "prompt_number": 43 }, { "cell_type": "code", "collapsed": false, "input": [ "# Set default pylab stuff\n", "pylab.rcParams['figure.figsize'] = (14.0, 5.0)\n", "pylab.rcParams['axes.grid'] = True" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 44 }, { "cell_type": "code", "collapsed": false, "input": [ "# Version 0.12.0 of Pandas has a DeprecationWarning about Height blah that I'm ignoring\n", "import warnings\n", "warnings.filterwarnings(\"ignore\", category=DeprecationWarning)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 45 }, { "cell_type": "code", "collapsed": false, "input": [ "# This is the Alexa 100k domain list, we're not using the 1 Million just for speed reasons. Results\n", "# for the Alexa 1M are given at the bottom of the notebook.\n", "alexa_dataframe = pd.read_csv('data/alexa_100k.csv', names=['rank','uri'], header=None, encoding='utf-8')\n", "alexa_dataframe.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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rankuri
0 1 facebook.com
1 2 google.com
2 3 youtube.com
3 4 yahoo.com
4 5 baidu.com
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 46, "text": [ " rank uri\n", "0 1 facebook.com\n", "1 2 google.com\n", "2 3 youtube.com\n", "3 4 yahoo.com\n", "4 5 baidu.com" ] } ], "prompt_number": 46 }, { "cell_type": "code", "collapsed": false, "input": [ "# Okay for this exercise we need the 2LD and nothing else\n", "import tldextract\n", "\n", "def domain_extract(uri):\n", " ext = tldextract.extract(uri)\n", " if (not ext.suffix):\n", " return np.nan\n", " else:\n", " return ext.domain\n", "\n", "alexa_dataframe['domain'] = [ domain_extract(uri) for uri in alexa_dataframe['uri']]\n", "del alexa_dataframe['rank']\n", "del alexa_dataframe['uri']\n", "alexa_dataframe.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domain
0 facebook
1 google
2 youtube
3 yahoo
4 baidu
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 47, "text": [ " domain\n", "0 facebook\n", "1 google\n", "2 youtube\n", "3 yahoo\n", "4 baidu" ] } ], "prompt_number": 47 }, { "cell_type": "code", "collapsed": false, "input": [ "alexa_dataframe.tail()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
domain
99995 rhbabyandchild
99996 rm
99997 sat1
99998 nahimunkar
99999 musi
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 48, "text": [ " domain\n", "99995 rhbabyandchild\n", "99996 rm\n", "99997 sat1\n", "99998 nahimunkar\n", "99999 musi" ] } ], "prompt_number": 48 }, { "cell_type": "code", "collapsed": false, "input": [ "# It's possible we have NaNs from blanklines or whatever\n", "alexa_dataframe = alexa_dataframe.dropna()\n", "alexa_dataframe = alexa_dataframe.drop_duplicates()\n", "\n", "# Set the class\n", "alexa_dataframe['class'] = 'legit'\n", "\n", "# Shuffle the data (important for training/testing)\n", "alexa_dataframe = alexa_dataframe.reindex(np.random.permutation(alexa_dataframe.index))\n", "alexa_total = alexa_dataframe.shape[0]\n", "print 'Total Alexa domains %d' % alexa_total\n", "\n", "# Hold out 10%\n", "hold_out_alexa = alexa_dataframe[alexa_total*.9:]\n", "alexa_dataframe = alexa_dataframe[:alexa_total*.9]\n", "\n", "print 'Number of Alexa domains: %d' % alexa_dataframe.shape[0]" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Total Alexa domains 91712\n", "Number of Alexa domains: 82540\n" ] } ], "prompt_number": 49 }, { "cell_type": "code", "collapsed": false, "input": [ "alexa_dataframe.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclass
20904 transworld legit
82690 lkfun legit
85167 islam2all legit
62859 pulitzer legit
85573 sge legit
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 50, "text": [ " domain class\n", "20904 transworld legit\n", "82690 lkfun legit\n", "85167 islam2all legit\n", "62859 pulitzer legit\n", "85573 sge legit" ] } ], "prompt_number": 50 }, { "cell_type": "code", "collapsed": false, "input": [ "# Read in the DGA domains\n", "dga_dataframe = pd.read_csv('data/dga_domains.txt', names=['raw_domain'], header=None, encoding='utf-8')\n", "\n", "# We noticed that the blacklist values just differ by captilization or .com/.org/.info\n", "dga_dataframe['domain'] = dga_dataframe.applymap(lambda x: x.split('.')[0].strip().lower())\n", "del dga_dataframe['raw_domain']\n", "\n", "# It's possible we have NaNs from blanklines or whatever\n", "dga_dataframe = dga_dataframe.dropna()\n", "dga_dataframe = dga_dataframe.drop_duplicates()\n", "dga_total = dga_dataframe.shape[0]\n", "print 'Total DGA domains %d' % dga_total\n", "\n", "# Set the class\n", "dga_dataframe['class'] = 'dga'\n", "\n", "# Hold out 10%\n", "hold_out_dga = dga_dataframe[dga_total*.9:]\n", "dga_dataframe = dga_dataframe[:dga_total*.9]\n", "\n", "print 'Number of DGA domains: %d' % dga_dataframe.shape[0]" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Total DGA domains 2664\n", "Number of DGA domains: 2397\n" ] } ], "prompt_number": 51 }, { "cell_type": "code", "collapsed": false, "input": [ "dga_dataframe.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclass
0 04055051be412eea5a61b7da8438be3d dga
1 1cb8a5f36f dga
2 30acd347397c34fc273e996b22951002 dga
3 336c986a284e2b3bc0f69f949cb437cb dga
5 40a43e61e56a5c218cf6c22aca27f7ee dga
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 52, "text": [ " domain class\n", "0 04055051be412eea5a61b7da8438be3d dga\n", "1 1cb8a5f36f dga\n", "2 30acd347397c34fc273e996b22951002 dga\n", "3 336c986a284e2b3bc0f69f949cb437cb dga\n", "5 40a43e61e56a5c218cf6c22aca27f7ee dga" ] } ], "prompt_number": 52 }, { "cell_type": "code", "collapsed": false, "input": [ "# Concatenate the domains in a big pile!\n", "all_domains = pd.concat([alexa_dataframe, dga_dataframe], ignore_index=True)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 53 }, { "cell_type": "code", "collapsed": false, "input": [ "# Add a length field for the domain\n", "all_domains['length'] = [len(x) for x in all_domains['domain']]\n", "\n", "# Okay since we're trying to detect dynamically generated domains and short\n", "# domains (length <=6) are crazy random even for 'legit' domains we're going\n", "# to punt on short domains (perhaps just white/black list for short domains?)\n", "all_domains = all_domains[all_domains['length'] > 6]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 54 }, { "cell_type": "code", "collapsed": false, "input": [ "# Grabbed this from Rosetta Code (rosettacode.org)\n", "import math\n", "from collections import Counter\n", " \n", "def entropy(s):\n", " p, lns = Counter(s), float(len(s))\n", " return -sum( count/lns * math.log(count/lns, 2) for count in p.values())" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 55 }, { "cell_type": "code", "collapsed": false, "input": [ "# Add a entropy field for the domain\n", "all_domains['entropy'] = [entropy(x) for x in all_domains['domain']]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 56 }, { "cell_type": "code", "collapsed": false, "input": [ "all_domains.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
domainclasslengthentropy
0 transworld legit 10 3.121928
2 islam2all legit 9 2.419382
3 pulitzer legit 8 3.000000
6 danarimedia legit 11 2.663533
7 heartbreakers legit 13 2.815072
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 57, "text": [ " domain class length entropy\n", "0 transworld legit 10 3.121928\n", "2 islam2all legit 9 2.419382\n", "3 pulitzer legit 8 3.000000\n", "6 danarimedia legit 11 2.663533\n", "7 heartbreakers legit 13 2.815072" ] } ], "prompt_number": 57 }, { "cell_type": "code", "collapsed": false, "input": [ "all_domains.tail()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
domainclasslengthentropy
84932 ulxxqduryvv dga 11 2.913977
84933 ummvzhin dga 8 2.750000
84934 umsgnwgc dga 8 2.750000
84935 umzsbhpkrgo dga 11 3.459432
84936 umzuyjrfwyf dga 11 2.913977
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 58, "text": [ " domain class length entropy\n", "84932 ulxxqduryvv dga 11 2.913977\n", "84933 ummvzhin dga 8 2.750000\n", "84934 umsgnwgc dga 8 2.750000\n", "84935 umzsbhpkrgo dga 11 3.459432\n", "84936 umzuyjrfwyf dga 11 2.913977" ] } ], "prompt_number": 58 }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Lets plot some stuff!" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Boxplots show you the distribution of the data (spread).\n", "# http://en.wikipedia.org/wiki/Box_plot\n", "\n", "# Plot the length and entropy of domains\n", "all_domains.boxplot('length','class')\n", "pylab.ylabel('Domain Length')\n", "all_domains.boxplot('entropy','class')\n", "pylab.ylabel('Domain Entropy')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 59, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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4zS8pKUnXXHPNWb9wSUmJcnJyVF1drerqao0bN05DhgxRenq6xowZo3nz5vm2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\n+Y1atGgR5oRAdLDl0F4AZ4c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"text": [ "" ] } ], "prompt_number": 59 }, { "cell_type": "code", "collapsed": false, "input": [ "# Split the classes up so we can set colors, size, labels\n", "cond = all_domains['class'] == 'dga'\n", "dga = all_domains[cond]\n", "alexa = all_domains[~cond]\n", "plt.scatter(alexa['length'], alexa['entropy'], s=140, c='#aaaaff', label='Alexa', alpha=.2)\n", "plt.scatter(dga['length'], dga['entropy'], s=40, c='r', label='DGA', alpha=.3)\n", "plt.legend()\n", "pylab.xlabel('Domain Length')\n", "pylab.ylabel('Domain Entropy')\n", "\n", "# Below you can see that our DGA domains do tend to have higher entropy than Alexa on average." ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 60, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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T08P8+fPntHn+4Ye5wedjk92OZBiYQLkk8W87dzLw1a+yaNGiOW1SmsbBkydxBgKUKQox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\ngcAY6fQ0TU1NPP74b5mYCHL55fn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"text": [ "" ] } ], "prompt_number": 60 }, { "cell_type": "code", "collapsed": false, "input": [ "# Lets look at the types of domains that have entropy higher than 4\n", "high_entropy_domains = all_domains[all_domains['entropy'] > 4]\n", "print 'Num Domains above 4 entropy: %.2f%% %d (out of %d)' % \\\n", " (100.0*high_entropy_domains.shape[0]/all_domains.shape[0],high_entropy_domains.shape[0],all_domains.shape[0])\n", "print \"Num high entropy legit: %d\" % high_entropy_domains[high_entropy_domains['class']=='legit'].shape[0]\n", "print \"Num high entropy DGA: %d\" % high_entropy_domains[high_entropy_domains['class']=='dga'].shape[0]\n", "high_entropy_domains[high_entropy_domains['class']=='legit'].head()\n", "\n", "# Looking at the results below, we do see that there are more domains\n", "# in the DGA group that are high entropy but only a small percentage\n", "# of the domains are in that high entropy range..." ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Num Domains above 4 entropy: 0.57% 361 (out of 63294)\n", "Num high entropy legit: 3\n", "Num high entropy DGA: 358\n" ] }, { "html": [ "
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domainclasslengthentropy
29392 theukwebdesigncompany legit 21 4.070656
37378 texaswithlove1982-amomentlikethis legit 33 4.051822
55073 congresomundialjjrperu2009 legit 26 4.056021
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 61, "text": [ " domain class length entropy\n", "29392 theukwebdesigncompany legit 21 4.070656\n", "37378 texaswithlove1982-amomentlikethis legit 33 4.051822\n", "55073 congresomundialjjrperu2009 legit 26 4.056021" ] } ], "prompt_number": 61 }, { "cell_type": "code", "collapsed": false, "input": [ "high_entropy_domains[high_entropy_domains['class']=='dga'].head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclasslengthentropy
82558 a17btkyb38gxe41pwd50nxmzjxiwjwdwfrp52 dga 37 4.540402
82559 a17c49l68ntkqnuhvkrmyb28fubvn30e31g43dq dga 39 4.631305
82560 a17d60gtnxk47gskti15izhvlviyksh64nqkz dga 37 4.270132
82561 a17erpzfzh64c69csi35bqgvp52drita67jzmy dga 38 4.629249
82562 a17fro51oyk67b18ksfzoti55j36p32o11fvc29cr dga 41 4.305859
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 62, "text": [ " domain class length entropy\n", "82558 a17btkyb38gxe41pwd50nxmzjxiwjwdwfrp52 dga 37 4.540402\n", "82559 a17c49l68ntkqnuhvkrmyb28fubvn30e31g43dq dga 39 4.631305\n", "82560 a17d60gtnxk47gskti15izhvlviyksh64nqkz dga 37 4.270132\n", "82561 a17erpzfzh64c69csi35bqgvp52drita67jzmy dga 38 4.629249\n", "82562 a17fro51oyk67b18ksfzoti55j36p32o11fvc29cr dga 41 4.305859" ] } ], "prompt_number": 62 }, { "cell_type": "code", "collapsed": false, "input": [ "# In preparation for using scikit learn we're just going to use\n", "# some handles that help take us from pandas land to scikit land\n", "\n", "# List of feature vectors (scikit learn uses 'X' for the matrix of feature vectors)\n", "X = all_domains.as_matrix(['length', 'entropy'])\n", "\n", "# Labels (scikit learn uses 'y' for classification labels)\n", "y = np.array(all_domains['class'].tolist()) # Yes, this is weird but it needs \n", " # to be an np.array of strings" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 63 }, { "cell_type": "code", "collapsed": false, "input": [ "# Random Forest is a popular ensemble machine learning classifier.\n", "# http://scikit-learn.org/dev/modules/generated/sklearn.ensemble.RandomForestClassifier.html\n", "#\n", "import sklearn.ensemble\n", "clf = sklearn.ensemble.RandomForestClassifier(n_estimators=20, compute_importances=True) # Trees in the forest" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 64 }, { "cell_type": "code", "collapsed": false, "input": [ "# Now we can use scikit learn's cross validation to assess predictive performance.\n", "scores = sklearn.cross_validation.cross_val_score(clf, X, y, cv=5, n_jobs=4)\n", "print scores" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[ 0.9688759 0.96784896 0.96729599 0.96753298 0.96887344]\n" ] } ], "prompt_number": 65 }, { "cell_type": "code", "collapsed": false, "input": [ "# Wow 96% accurate! At this point we could claim success and we'd be gigantic morons...\n", "# Recall that we have ~100k 'legit' domains and only 3.5k DGA domains\n", "# So a classifier that marked everything as legit would be about\n", "# 96% accurate....\n", "\n", "# So we dive in a bit and look at the predictive performance more deeply.\n", "\n", "# Train on a 80/20 split\n", "from sklearn.cross_validation import train_test_split\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n", "clf.fit(X_train, y_train)\n", "y_pred = clf.predict(X_test)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 66 }, { "cell_type": "code", "collapsed": false, "input": [ "# Now plot the results of the 80/20 split in a confusion matrix\n", "from sklearn.metrics import confusion_matrix\n", "labels = ['legit', 'dga']\n", "cm = confusion_matrix(y_test, y_pred, labels)\n", "\n", "def plot_cm(cm, labels):\n", " \n", " # Compute percentanges\n", " percent = (cm*100.0)/np.array(np.matrix(cm.sum(axis=1)).T) # Derp, I'm sure there's a better way\n", " \n", " print 'Confusion Matrix Stats'\n", " for i, label_i in enumerate(labels):\n", " for j, label_j in enumerate(labels):\n", " print \"%s/%s: %.2f%% (%d/%d)\" % (label_i, label_j, (percent[i][j]), cm[i][j], cm[i].sum())\n", "\n", " # Show confusion matrix\n", " # Thanks kermit666 from stackoverflow :)\n", " fig = plt.figure()\n", " ax = fig.add_subplot(111)\n", " ax.grid(b=False)\n", " cax = ax.matshow(percent, cmap='coolwarm')\n", " pylab.title('Confusion matrix of the classifier')\n", " fig.colorbar(cax)\n", " ax.set_xticklabels([''] + labels)\n", " ax.set_yticklabels([''] + labels)\n", " pylab.xlabel('Predicted')\n", " pylab.ylabel('True')\n", " pylab.show()\n", "\n", "plot_cm(cm, labels)\n", "\n", "# We can see below that our suspicions were correct and the classifier is\n", "# marking almost everything as Alexa. We FAIL.. science is hard... lets go drinking...." ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Confusion Matrix Stats\n", "legit/legit: 99.89% (12152/12165)\n", "legit/dga: 0.11% (13/12165)\n", "dga/legit: 80.16% (396/494)\n", "dga/dga: 19.84% (98/494)\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 67 }, { "cell_type": "code", "collapsed": false, "input": [ "# Well our Mom told us we were still cool.. so with that encouragement we're\n", "# going to compute NGrams for every Alexa domain and see if we can use the\n", "# NGrams to help us better differentiate and mark DGA domains...\n", "\n", "# Scikit learn has a nice NGram generator that can generate either char NGrams or word NGrams (we're using char).\n", "# Parameters: \n", "# - ngram_range=(3,5) # Give me all ngrams of length 3, 4, and 5\n", "# - min_df=1e-4 # Minimumum document frequency. At 1e-4 we're saying give us NGrams that \n", "# # happen in at least .1% of the domains (so for 100k... at least 100 domains)\n", "alexa_vc = sklearn.feature_extraction.text.CountVectorizer(analyzer='char', ngram_range=(3,5), min_df=1e-4, max_df=1.0)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 68 }, { "cell_type": "code", "collapsed": false, "input": [ "# I'm SURE there's a better way to store all the counts but not sure...\n", "# At least the min_df parameters has already done some thresholding\n", "counts_matrix = alexa_vc.fit_transform(alexa_dataframe['domain'])\n", "alexa_counts = np.log10(counts_matrix.sum(axis=0).getA1())\n", "ngrams_list = alexa_vc.get_feature_names()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 69 }, { "cell_type": "code", "collapsed": false, "input": [ "# For fun sort it and show it\n", "import operator\n", "_sorted_ngrams = sorted(zip(ngrams_list, alexa_counts), key=operator.itemgetter(1), reverse=True)\n", "print 'Alexa NGrams: %d' % len(_sorted_ngrams)\n", "for ngram, count in _sorted_ngrams[:10]:\n", " print ngram, count" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Alexa NGrams: 27012\n", "ing 3.40001963507\n", "lin 3.3818368\n", "ine 3.35295391171\n", "tor 3.22349594096\n", "ter 3.21827285357\n", "ion 3.20411998266\n", "ent 3.18184358794\n", "por 3.1562461904\n", "the 3.15228834438\n", "ree 3.11693964655\n" ] } ], "prompt_number": 70 }, { "cell_type": "code", "collapsed": false, "input": [ "# We're also going to throw in a bunch of dictionary words\n", "word_dataframe = pd.read_csv('data/words.txt', names=['word'], header=None, dtype={'word': np.str}, encoding='utf-8')\n", "\n", "# Cleanup words from dictionary\n", "word_dataframe = word_dataframe[word_dataframe['word'].map(lambda x: str(x).isalpha())]\n", "word_dataframe = word_dataframe.applymap(lambda x: str(x).strip().lower())\n", "word_dataframe = word_dataframe.dropna()\n", "word_dataframe = word_dataframe.drop_duplicates()\n", "word_dataframe.head(10)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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word
37 a
48 aa
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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 71, "text": [ " word\n", "37 a\n", "48 aa\n", "51 aaa\n", "53 aaaa\n", "54 aaaaaa\n", "55 aaal\n", "56 aaas\n", "57 aaberg\n", "58 aachen\n", "59 aae" ] } ], "prompt_number": 71 }, { "cell_type": "code", "collapsed": false, "input": [ "# Now compute NGrams on the dictionary words\n", "# Same logic as above...\n", "dict_vc = sklearn.feature_extraction.text.CountVectorizer(analyzer='char', ngram_range=(3,5), min_df=1e-5, max_df=1.0)\n", "counts_matrix = dict_vc.fit_transform(word_dataframe['word'])\n", "dict_counts = np.log10(counts_matrix.sum(axis=0).getA1())\n", "ngrams_list = dict_vc.get_feature_names()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 72 }, { "cell_type": "code", "collapsed": false, "input": [ "# For fun sort it and show it\n", "import operator\n", "_sorted_ngrams = sorted(zip(ngrams_list, dict_counts), key=operator.itemgetter(1), reverse=True)\n", "print 'Word NGrams: %d' % len(_sorted_ngrams)\n", "for ngram, count in _sorted_ngrams[:10]:\n", " print ngram, count" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Word NGrams: 142275\n", "ing 4.38730082245\n", "ess 4.20487933376\n", "ati 4.19334725639\n", "ion 4.16503647999\n", "ter 4.16241503611\n", "nes 4.11250445877\n", "tio 4.07682242334\n", "ate 4.07236020396\n", "ent 4.06963110262\n", "tion 4.04960561259\n" ] } ], "prompt_number": 73 }, { "cell_type": "code", "collapsed": false, "input": [ "# We use the transform method of the CountVectorizer to form a vector\n", "# of ngrams contained in the domain, that vector is than multiplied\n", "# by the counts vector (which is a column sum of the count matrix).\n", "def ngram_count(domain):\n", " alexa_match = alexa_counts * alexa_vc.transform([domain]).T # Woot vector multiply and transpose Woo Hoo!\n", " dict_match = dict_counts * dict_vc.transform([domain]).T\n", " print '%s Alexa match:%d Dict match: %d' % (domain, alexa_match, dict_match)\n", "\n", "# Examples:\n", "ngram_count('google')\n", "ngram_count('facebook')\n", "ngram_count('1cb8a5f36f')\n", "ngram_count('pterodactylfarts')\n", "ngram_count('ptes9dro-dwacty2lfa5rrts')\n", "ngram_count('beyonce')\n", "ngram_count('bey666on4ce')" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "google Alexa match:17 Dict match: 14\n", "facebook Alexa match:30 Dict match: 27\n", "1cb8a5f36f Alexa match:0 Dict match: 0\n", "pterodactylfarts Alexa match:34 Dict match: 77\n", "ptes9dro-dwacty2lfa5rrts Alexa match:19 Dict match: 28\n", "beyonce Alexa match:15 Dict match: 16\n", "bey666on4ce Alexa match:2 Dict match: 1\n" ] } ], "prompt_number": 74 }, { "cell_type": "code", "collapsed": false, "input": [ "# Compute NGram matches for all the domains and add to our dataframe\n", "all_domains['alexa_grams']= alexa_counts * alexa_vc.transform(all_domains['domain']).T \n", "all_domains['word_grams']= dict_counts * dict_vc.transform(all_domains['domain']).T \n", "all_domains.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclasslengthentropyalexa_gramsword_grams
0 transworld legit 10 3.121928 39.051439 44.033642
2 islam2all legit 9 2.419382 15.475215 17.367964
3 pulitzer legit 8 3.000000 14.458222 28.441721
6 danarimedia legit 11 2.663533 40.189599 54.829856
7 heartbreakers legit 13 2.815072 45.354321 69.734483
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 75, "text": [ " domain class length entropy alexa_grams word_grams\n", "0 transworld legit 10 3.121928 39.051439 44.033642\n", "2 islam2all legit 9 2.419382 15.475215 17.367964\n", "3 pulitzer legit 8 3.000000 14.458222 28.441721\n", "6 danarimedia legit 11 2.663533 40.189599 54.829856\n", "7 heartbreakers legit 13 2.815072 45.354321 69.734483" ] } ], "prompt_number": 75 }, { "cell_type": "code", "collapsed": false, "input": [ "all_domains.tail()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclasslengthentropyalexa_gramsword_grams
84932 ulxxqduryvv dga 11 2.913977 3.745231 6.464859
84933 ummvzhin dga 8 2.750000 6.183945 7.180022
84934 umsgnwgc dga 8 2.750000 3.272306 3.847079
84935 umzsbhpkrgo dga 11 3.459432 1.653213 2.546543
84936 umzuyjrfwyf dga 11 2.913977 0.000000 0.000000
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 76, "text": [ " domain class length entropy alexa_grams word_grams\n", "84932 ulxxqduryvv dga 11 2.913977 3.745231 6.464859\n", "84933 ummvzhin dga 8 2.750000 6.183945 7.180022\n", "84934 umsgnwgc dga 8 2.750000 3.272306 3.847079\n", "84935 umzsbhpkrgo dga 11 3.459432 1.653213 2.546543\n", "84936 umzuyjrfwyf dga 11 2.913977 0.000000 0.000000" ] } ], "prompt_number": 76 }, { "cell_type": "code", "collapsed": false, "input": [ "# Use the vectorized operations of the dataframe to investigate differences\n", "# between the alexa and word grams\n", "all_domains['diff'] = all_domains['alexa_grams'] - all_domains['word_grams']\n", "all_domains.sort(['diff'], ascending=True).head(10)\n", "\n", "# The table below shows those domain names that are more 'dictionary' and less 'web'" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclasslengthentropyalexa_gramsword_gramsdiff
63819 bipolardisorderdepressionanxiety legit 32 3.616729 115.885999 193.844156-77.958157
34524 stirringtroubleinternationally legit 30 3.481728 131.209086 207.204729-75.995643
63954 americansforresponsiblesolutions legit 32 3.667838 145.071369 218.363956-73.292587
49070 channel4embarrassingillnesses legit 29 3.440070 98.201709 169.721499-71.519790
5902 pragmatismopolitico legit 19 3.326360 59.877723 121.536223-61.658500
49210 egaliteetreconciliation legit 23 3.186393 92.257111 152.125325-59.868214
74130 interoperabilitybridges legit 23 3.588354 93.803640 153.626312-59.822673
36976 foreclosurephilippines legit 22 3.447402 72.844280 132.514638-59.670358
47055 corazonindomablecapitulos legit 25 3.813661 74.706878 133.762750-59.055872
70113 annamalicesissyselfhypnosis legit 27 3.429908 68.066490 126.667692-58.601201
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 77, "text": [ " domain class length entropy alexa_grams \\\n", "63819 bipolardisorderdepressionanxiety legit 32 3.616729 115.885999 \n", "34524 stirringtroubleinternationally legit 30 3.481728 131.209086 \n", "63954 americansforresponsiblesolutions legit 32 3.667838 145.071369 \n", "49070 channel4embarrassingillnesses legit 29 3.440070 98.201709 \n", "5902 pragmatismopolitico legit 19 3.326360 59.877723 \n", "49210 egaliteetreconciliation legit 23 3.186393 92.257111 \n", "74130 interoperabilitybridges legit 23 3.588354 93.803640 \n", "36976 foreclosurephilippines legit 22 3.447402 72.844280 \n", "47055 corazonindomablecapitulos legit 25 3.813661 74.706878 \n", "70113 annamalicesissyselfhypnosis legit 27 3.429908 68.066490 \n", "\n", " word_grams diff \n", "63819 193.844156 -77.958157 \n", "34524 207.204729 -75.995643 \n", "63954 218.363956 -73.292587 \n", "49070 169.721499 -71.519790 \n", "5902 121.536223 -61.658500 \n", "49210 152.125325 -59.868214 \n", "74130 153.626312 -59.822673 \n", "36976 132.514638 -59.670358 \n", "47055 133.762750 -59.055872 \n", "70113 126.667692 -58.601201 " ] } ], "prompt_number": 77 }, { "cell_type": "code", "collapsed": false, "input": [ "all_domains.sort(['diff'], ascending=False).head(50)\n", "\n", "# The table below shows those domain names that are more 'web' and less 'dictionary'\n", "# Good O' web...." ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclasslengthentropyalexa_gramsword_gramsdiff
22647 gay-sex-pics-porn-pictures-gay-sex-porn-gay-se... legit 56 3.661056 160.035734 85.124184 74.911550
44091 article-directory-free-submission-free-content legit 46 3.786816 233.518879 188.230453 45.288426
63865 stream-free-movies-online legit 25 3.509275 118.944026 74.496915 44.447110
38570 top-bookmarking-site-list legit 25 3.723074 117.162056 74.126061 43.035995
79963 best-online-shopping-site legit 25 3.452879 122.152194 79.596640 42.555554
12532 watch-free-movie-online legit 23 3.708132 101.010995 58.943451 42.067543
30198 free-online-directory legit 21 3.403989 122.359797 80.735030 41.624767
40859 free-links-articles-directory legit 29 3.702472 152.063809 110.955361 41.108448
30875 online-web-directory legit 20 3.584184 114.439863 74.082948 40.356915
79001 web-directory-online legit 20 3.584184 114.313583 74.082948 40.230634
78947 movie-news-online legit 17 3.175123 81.036910 41.705735 39.331174
51532 xxx-porno-sexvideos legit 19 3.260828 73.025165 35.176549 37.848617
42200 free-tv-video-online legit 20 3.284184 83.341214 45.662984 37.678230
40771 freegamesforyourwebsite legit 23 3.551191 114.291735 78.515881 35.775855
58275 free-web-mobile-themes legit 22 3.356492 88.503556 54.149725 34.353831
70724 seowebdirectoryonline legit 21 3.499228 126.111921 91.819498 34.292423
28283 download-free-games legit 19 3.576618 84.492962 50.661490 33.831472
18894 web-link-directory-site legit 23 3.729446 102.993078 69.367186 33.625893
4838 the-web-directory legit 17 3.454822 87.520339 54.697986 32.822353
65871 social-bookmarking-site legit 23 3.762267 116.664791 84.545021 32.119769
21743 free-links-directory legit 20 3.646439 104.050046 71.956644 32.093402
74449 money-news-online legit 17 3.101881 77.587799 45.775375 31.812424
48456 free-sexvideosfc2 legit 17 3.381580 63.659477 31.878432 31.781045
57427 your-new-directory-site legit 23 3.555533 99.130671 67.468067 31.662605
49041 addsiteurlfreewebdirectory legit 26 3.609496 134.446230 103.178748 31.267482
34821 own-free-website legit 16 3.250000 59.564153 28.839294 30.724859
10080 web-directory-plus legit 18 3.836592 89.030979 58.484138 30.546841
43762 web-directory-sites legit 19 3.471354 98.528255 68.088416 30.439839
34811 free-sex-for-you legit 16 3.030639 46.653059 16.670504 29.982555
21390 online-deal-coupon legit 18 3.308271 77.862004 47.886115 29.975889
48204 acme-people-search-forum legit 24 3.553509 87.829242 57.898987 29.930255
73304 free-webdirectory legit 17 3.337175 93.606205 63.858372 29.747833
44221 good-web-directory legit 18 3.461320 88.201881 58.629789 29.572091
50633 all-free-download legit 17 3.219528 69.337916 39.909696 29.428220
57095 free-link-directory legit 19 3.536887 95.869062 66.507042 29.362020
58652 global-web-directory legit 20 3.721928 100.465474 71.293587 29.171887
74259 online-games-zone legit 17 3.292770 74.987811 45.881826 29.105985
77290 us-web-directory legit 16 3.625000 80.044863 50.969551 29.075312
72128 bookmarking-sites-lists legit 23 3.621176 115.664939 86.595393 29.069546
64948 web-marketing-directory legit 23 3.849224 125.587313 96.714227 28.873086
79557 freewebdirectory101 legit 19 3.471354 100.131488 71.474824 28.656664
72737 free-seo-news legit 13 2.777363 45.267539 17.089020 28.178520
53449 website-traffic-hog legit 19 3.721612 77.199578 49.156126 28.043452
50837 myonlinewebdirectory legit 20 3.584184 121.155376 93.276322 27.879054
29303 business-web-directorys legit 23 3.621176 125.854338 98.160126 27.694212
41310 free-online-submission legit 22 3.413088 113.459411 85.792712 27.666699
76645 linkdirectoryonline legit 19 3.326360 116.879367 89.392747 27.486621
30430 online-deal-site legit 16 3.202820 68.103656 40.887484 27.216172
27227 free-site-submit legit 16 3.202820 64.158023 37.127294 27.030729
62951 mybusiness-web-directory legit 24 3.772055 124.553982 97.538670 27.015312
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 78, "text": [ " domain class length \\\n", "22647 gay-sex-pics-porn-pictures-gay-sex-porn-gay-se... legit 56 \n", "44091 article-directory-free-submission-free-content legit 46 \n", "63865 stream-free-movies-online legit 25 \n", "38570 top-bookmarking-site-list legit 25 \n", "79963 best-online-shopping-site legit 25 \n", "12532 watch-free-movie-online legit 23 \n", "30198 free-online-directory legit 21 \n", "40859 free-links-articles-directory legit 29 \n", "30875 online-web-directory legit 20 \n", "79001 web-directory-online legit 20 \n", "78947 movie-news-online legit 17 \n", "51532 xxx-porno-sexvideos legit 19 \n", "42200 free-tv-video-online legit 20 \n", "40771 freegamesforyourwebsite legit 23 \n", "58275 free-web-mobile-themes legit 22 \n", "70724 seowebdirectoryonline legit 21 \n", "28283 download-free-games legit 19 \n", "18894 web-link-directory-site legit 23 \n", "4838 the-web-directory legit 17 \n", "65871 social-bookmarking-site legit 23 \n", "21743 free-links-directory legit 20 \n", "74449 money-news-online legit 17 \n", "48456 free-sexvideosfc2 legit 17 \n", "57427 your-new-directory-site legit 23 \n", "49041 addsiteurlfreewebdirectory legit 26 \n", "34821 own-free-website legit 16 \n", "10080 web-directory-plus legit 18 \n", "43762 web-directory-sites legit 19 \n", "34811 free-sex-for-you legit 16 \n", "21390 online-deal-coupon legit 18 \n", "48204 acme-people-search-forum legit 24 \n", "73304 free-webdirectory legit 17 \n", "44221 good-web-directory legit 18 \n", "50633 all-free-download legit 17 \n", "57095 free-link-directory legit 19 \n", "58652 global-web-directory legit 20 \n", "74259 online-games-zone legit 17 \n", "77290 us-web-directory legit 16 \n", "72128 bookmarking-sites-lists legit 23 \n", "64948 web-marketing-directory legit 23 \n", "79557 freewebdirectory101 legit 19 \n", "72737 free-seo-news legit 13 \n", "53449 website-traffic-hog legit 19 \n", "50837 myonlinewebdirectory legit 20 \n", "29303 business-web-directorys legit 23 \n", "41310 free-online-submission legit 22 \n", "76645 linkdirectoryonline legit 19 \n", "30430 online-deal-site legit 16 \n", "27227 free-site-submit legit 16 \n", "62951 mybusiness-web-directory legit 24 \n", "\n", " entropy alexa_grams word_grams diff \n", "22647 3.661056 160.035734 85.124184 74.911550 \n", "44091 3.786816 233.518879 188.230453 45.288426 \n", "63865 3.509275 118.944026 74.496915 44.447110 \n", "38570 3.723074 117.162056 74.126061 43.035995 \n", "79963 3.452879 122.152194 79.596640 42.555554 \n", "12532 3.708132 101.010995 58.943451 42.067543 \n", "30198 3.403989 122.359797 80.735030 41.624767 \n", "40859 3.702472 152.063809 110.955361 41.108448 \n", "30875 3.584184 114.439863 74.082948 40.356915 \n", "79001 3.584184 114.313583 74.082948 40.230634 \n", "78947 3.175123 81.036910 41.705735 39.331174 \n", "51532 3.260828 73.025165 35.176549 37.848617 \n", "42200 3.284184 83.341214 45.662984 37.678230 \n", "40771 3.551191 114.291735 78.515881 35.775855 \n", "58275 3.356492 88.503556 54.149725 34.353831 \n", "70724 3.499228 126.111921 91.819498 34.292423 \n", "28283 3.576618 84.492962 50.661490 33.831472 \n", "18894 3.729446 102.993078 69.367186 33.625893 \n", "4838 3.454822 87.520339 54.697986 32.822353 \n", "65871 3.762267 116.664791 84.545021 32.119769 \n", "21743 3.646439 104.050046 71.956644 32.093402 \n", "74449 3.101881 77.587799 45.775375 31.812424 \n", "48456 3.381580 63.659477 31.878432 31.781045 \n", "57427 3.555533 99.130671 67.468067 31.662605 \n", "49041 3.609496 134.446230 103.178748 31.267482 \n", "34821 3.250000 59.564153 28.839294 30.724859 \n", "10080 3.836592 89.030979 58.484138 30.546841 \n", "43762 3.471354 98.528255 68.088416 30.439839 \n", "34811 3.030639 46.653059 16.670504 29.982555 \n", "21390 3.308271 77.862004 47.886115 29.975889 \n", "48204 3.553509 87.829242 57.898987 29.930255 \n", "73304 3.337175 93.606205 63.858372 29.747833 \n", "44221 3.461320 88.201881 58.629789 29.572091 \n", "50633 3.219528 69.337916 39.909696 29.428220 \n", "57095 3.536887 95.869062 66.507042 29.362020 \n", "58652 3.721928 100.465474 71.293587 29.171887 \n", "74259 3.292770 74.987811 45.881826 29.105985 \n", "77290 3.625000 80.044863 50.969551 29.075312 \n", "72128 3.621176 115.664939 86.595393 29.069546 \n", "64948 3.849224 125.587313 96.714227 28.873086 \n", "79557 3.471354 100.131488 71.474824 28.656664 \n", "72737 2.777363 45.267539 17.089020 28.178520 \n", "53449 3.721612 77.199578 49.156126 28.043452 \n", "50837 3.584184 121.155376 93.276322 27.879054 \n", "29303 3.621176 125.854338 98.160126 27.694212 \n", "41310 3.413088 113.459411 85.792712 27.666699 \n", "76645 3.326360 116.879367 89.392747 27.486621 \n", "30430 3.202820 68.103656 40.887484 27.216172 \n", "27227 3.202820 64.158023 37.127294 27.030729 \n", "62951 3.772055 124.553982 97.538670 27.015312 " ] } ], "prompt_number": 78 }, { "cell_type": "code", "collapsed": false, "input": [ "# Lets plot some stuff!\n", "# Here we want to see whether our new 'alexa_grams' feature can help us differentiate between Legit/DGA\n", "cond = all_domains['class'] == 'dga'\n", "dga = all_domains[cond]\n", "legit = all_domains[~cond]\n", "plt.scatter(legit['length'], legit['alexa_grams'], s=120, c='#aaaaff', label='Alexa', alpha=.1)\n", "plt.scatter(dga['length'], dga['alexa_grams'], s=40, c='r', label='DGA', alpha=.3)\n", "plt.legend()\n", "pylab.xlabel('Domain Length')\n", "pylab.ylabel('Alexa NGram Matches')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 79, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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t+hQKpXm14UEQ0G43yeXS+H6H7du3zPm767q02108rwdAOq2Tzy+83qhWq+N5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\nDC6GzwEAbovS0lItX75ckhQWFqYHHnhANptNJpNJU6Z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"text": [ "" ] } ], "prompt_number": 79 }, { "cell_type": "code", "collapsed": false, "input": [ "# Lets plot some stuff!\n", "# Here we want to see whether our new 'alexa_grams' feature can help us differentiate between Legit/DGA\n", "cond = all_domains['class'] == 'dga'\n", "dga = all_domains[cond]\n", "legit = all_domains[~cond]\n", "plt.scatter(legit['entropy'], legit['alexa_grams'], s=120, c='#aaaaff', label='Alexa', alpha=.2)\n", "plt.scatter(dga['entropy'], dga['alexa_grams'], s=40, c='r', label='DGA', alpha=.3)\n", "plt.legend()\n", "pylab.xlabel('Domain Entropy')\n", "pylab.ylabel('Alexa Gram Matches')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 80, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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HqO7bh39qisq+ffz6v/6LWCx2Vm1raWkhEolQrVZpbm6uP//pT38al8uF1WrlH//xH+vP\n7969mw984AMAfOADH+DRRx+lXC6fVRvOlCRC4pIjY4AFSByIGokDARIHomY9x8HEq6+yxenEbDAA\noFar2dTSQmFigng8TjaZxKY+/mu93WQi93qP0KFf/5qtwEBLCz63m80tLWypVhnct++s2hYIBGhs\nbEStVjM/P19//otf/CKxWIw//MM/pFKpALWEbu/evfVE6JZbbiGfz/Ozn/3srNpwpiQREkIIIYQQ\n4iKWjUZxWCzHPe9Qq8lmszgaGoicoFclkslgb24mm81SnJ/H53Yv29/S0EA+EDjjIXIvv/wygUCA\nt7zlLVx33XX86Ec/Ou4YRVHq83W++93vUq1Wefe7343P56Orq4t8Pn/BhsdJIiQuOet9DLBYHYkD\nARIHokbiQMD6jgOr10s0lVr2nKIoxBQFm82Gz+cj6/MxsrBAuVKhWq0yEw4zYzTS1dNTKx5wgusq\nigIqFSqValXteCOhSSaTPPHEE9x555185CMfYcuWLXzxi1/k29/+Nl/4whcIhUIAzM3NMTU1Vb/+\n7t27efDBBzl48GD98d///d/8z//8D9Fo9MzfoDMkiZAQQgghhBAXsZ6rr2YwlSKeTgNQLJU4GAhg\n37QJm82GRqPhTbfeSnrzZp4Oh3kqGCTQ1sZ1/+f/YDabMZlMmNraCCwtLbtuIBrF3N5+XAW6k9m1\naxd2u5329nYeeughPvWpT/Gd73wHgBtuuIFnnnmGX/3qV/T19eFyubj11lu5+eabuf/++3nhhReY\nnZ3lz/7sz/B6vfXHrl272LhxI48++ui5fdNWQcpnCyGEEEIIcRE41ffdudlZRn7zGyqxGFWdjpYr\nrmBg2za0Wu2y46rVKoqioNFolj2fSCR48f/9P5rTaVx6PbFikaDVynW7duFwONbsNa2lsy2fLYmQ\nEEIIIYQQF4HVfN8tFApotdrjEp3VKBQKzE5Pk45GsTY00N7RgV6vP9PmXnCyjpC47KznMcBi9SQO\nBEgciBqJAwGXTxwYDIYzSoLeOHdjby/bdu5kY0/PJZ0EnQtrkgjNzs5y8803s3nzZrZs2cIjjzwC\nQDQa5R3veAe9vb28853vXLbA00MPPURPTw/9/f08/fTTa9EsIYQQQgghhADWaGhcMBgkGAyybds2\n0uk0O3bs4PHHH+c73/kOjY2NfPrTn+YLX/gCsViMf/7nf2ZoaIi77rqrXoLv7W9/O8eOHUP9O/XQ\nZWicEEIIIYRYz9xu91kvcHo5cblcJ6w2d0GHxjU3N7Nt2zYArFYrmzZtIhAI8NOf/pSPfvSjAHz0\nox/l8ccfB+AnP/kJd955Jzqdjs7OTjZu3MhLL720Fk0TQgghhBDiohSNRuvr7shj5cfZltzWrnzI\n2ZmammL//v1cd911LC4u0tTUBEBTUxOLi4sAzM/Ps3Pnzvo5ra2tBAKB4651991309nZCYDT6WTb\ntm31VYTfGBcq2+t/+3fHAF8M7ZHtC7N94MABPvnJT1407ZFt+Xsg2xduW/4eyLb8Pbi8t9/499TU\nFKdjTavGpdNp3vrWt/L5z3+e9773vbhcrmXdfW63m2g0yv3338/OnTv50Ic+BMC9997Lu9/9bt73\nvvf9tqEyNE68bu/evfX/AOLyJXEgQOJA1EgcCJA4EL91wavGlUol3v/+9/ORj3yE9773vUCtFygY\nDAKwsLCA1+sFwO/3Mzs7Wz93bm4Ov9+/Vk0Tlzj5IydA4kDUSBwIkDgQNRIH4nStSSKkKAr33HMP\nAwMD9a5qgNtuu43du3cDsHv37nqCdNttt/Hoo49SLBaZnJxkdHSUa6+9di2aJoQQQgghhBBrkwg9\n99xzfO973+OXv/wl27dvZ/v27Tz11FN85jOf4ec//zm9vb0888wzfOYznwFgYGCAO+64g4GBAW69\n9Va+9rWvoVKp1qJpYh343fGg4vIlcSBA4kDUSBwIkDgQp29NiiXceOONVKvVE+77xS9+ccLnP/vZ\nz/LZz352LZojhBBCCHFJUxSFWCxGJpMFwGw24XK5li01IoQ4PWtaLOFckmIJQgghhLgchUJhpqfn\n0eksmEw2AHK5NMVimvb2Zpqbm85bW/L5POFwhFyugEqlwum04Xa70Wg0q76GoijE43HS6QyKomA0\nGnC73Wi1a17MWFwmVps3SCIkhBBCCHGRmp9fIBCI0da2AYPBsGxfsVhkZmYcn89Oa+vaFpmqVCqM\nj08Rj2exWhswm81Uq1XS6QT5fJLOzha8Xs+K14lGo0xMzKFWG7FYHKjVavL5DNlsgpaWBlpb/TI9\nQpy1C141Toi1ImOABUgciBqJAwHrNw7y+Tyzs2E6O3uPS4IA9Ho9XV29zM9HyWQya9aOarXK0aOj\nFIt6Nm7cgs/XgsPhxOVy09bWRUfHJqamQiwuhk55nUgkwtjYPD7fRrq6evF6m2hs9NDa2smGDVuI\nRPKMj0+ecTvXaxyItSOJkBBCCCHERWhxMYTd7jnlkDGNRoPD4WVxMbxm7YhEIpTLOvz+thP21uj1\nejo6epicnKdcLp/wGuVymfHxAO3tPZjN5uP2azQaOjo2EI8Xl605KcRakqFxQgghhBAXoVdfHcTv\nP3Fv0O8ql8tMTh7m2mu3rUk7Dhw4QmNjJxaL5ZTHzc1N09howOdrPm7fwkKQSKRAa2vHKa+RSMTJ\nZBbZvLnvrNosLm8yNE4IIYQQ4hJWLldWVUBAq9VSqZy4Wu/ZKhaLFAqVFZMgALvdRTyeOuG+paUE\nDod7xWs4HE5SqRyVSuW02yrE6ZJESFxyZAywAIkDUSNxIGD9xoHBoKNQKKx4XKFQQKdbm4priqKs\nuiKcWq0+aUJWrVZXXRVOrdacdBmWU1mvcSDWjiRCQgghhBAXIa/XTTQaWfG4aDRCU9PKvS1nQqvV\nUi6XVpWYFAp5TCb9CffpdFqKxZWTukqlQrVaOa1y3EKcKZkjJIQQQghxESqVSuzfP4Tff+ICA1Cr\nLDczM8K2bf0rziU6U2NjEyiKjcbGU5fHHh8/Sm+vH7vdfty+paUlZmdjdHRsPOU1IpEwanWaDRu6\nzqrN4vImc4SEEEIIIS5hOp2O3t4O5ubGiMWix32xSyTizMwco6enbc2SIACfr4lodOGUw/TC4RB6\nvXLCJAjA7XZTreZIJhMnvUapVCIWC9Lc7D3rNguxGpIIiUuOjAEWIHEgaiQOBKzvOHA6nWze3E0+\nH2F0dJCZmQlmZycZHR0kk1lkYKALt3tthsW9wWKx0N3dwszMMaLRpWUJWbFYJBCYJZsN0d9/8t4e\nlUpFf/8GQqFpwuHQcUPtkskEU1MjdHQ0raoww4ms5zgQa2NtZtYJIYQQQohzwmq1MjDQSz6fJ5fL\nAWAy+TAajeetDR5PI0ajgfn5RUZH59DpDCiKQrVapLm5AZ+vf8ViCGazma1be5mdnWdsbAGj0Qqo\nKBazGI1aentbcTqd5+cFCYHMERJCCCGEEKehVCpRLBZRqVSYTKYTLrK6mmtkMhkURcFoNGIymdag\npeJytdq8QRIhIYQQQgghxLohxRLEuiVjgAVIHIgaiQMBEgeiRuJAnC5JhIQQQgghhBCXHRkaJ4QQ\nQgghhFg3ZGicEEIIIYQQQpyEJELikiNjgAVIHIgaiQMBEgeiRuJAnC5JhIQQQgghhBCXHZkjJIQQ\nQgghqFarRKNRYrEklUoVg0GHx9OA1Wq90E0T4rTIOkJCCCGEEJepTCbD4mKYSCROpVJFp9PS1OTG\n6/VgMBiOOz4WizE2NoNOZ8Vud6HRaCgUCiQSYUwmDb293ej1+gvwSoQ4fVIsQaxbMgZYgMSBqJE4\nECBx8Pvm5gIcOTJBqWSiq2sL/f1X0draRyql4sCBYaLR6LLj4/E4o6Nz+P29dHRswOVyY7c78Hi8\nbNy4Gb3ezdDQMcrl8gV6RasjcSBOlyRCQgghhBDrRDC4SDCYpLt7AK+3Ca1WC4DBYMDn89Pe3sfo\n6BzJZBIARVEYG5vB79+AyWQ64TU9Hi86nZP5+YXz9jqEOB9kaJwQQgghxDpQrVZ59dVB2tr6Tzj8\n7Q2JRJxMZpHNm/uIRqNMTy/R2dlzymuXSiWmpoa4+uqtqNXyO7q4uMnQOCGEEEKIy0gsFkOns5wy\nCQJwOJxkMkVyuRyJRAqr1bnitXU6HVqtkWw2e66aK8QFJ4mQuOTIGGABEgeiRuJAwPqLg3Q6zcTE\nFIODwxw+PMLcXIBCobDieblcHpPJtqp7GI1WcrkciqKg0WiO218oFFhaWiISCROPx6hUKqjVaqrV\n6mm/nvNlvcWBWHvaC90AIYQQQggB5XKZY8fGyWYrOBweXC4PiqKQTCYIBIZpaWmgra31lNc43WkE\nBoOeRCJX3y4UCgQCQbLZIkajDbVaQ6WSZW4uTDw+Q2+v/4xe26naG4/HKRQKqFQqLBaLlOsW543M\nERJCCCGEuMCq1SpHjoyg0djx+Y5PNiqVCjMz43g85pMmQ6ud76MoCqOjg1x5ZS8qlYoDB0bo6dlK\noVBgYmIWm60Ru92JSqWqnxOPLzExcZD+/lb6+3uW7TtTCwtBAoEQGo0Jvd6Moijkcgn0ehXd3W3Y\nbKvr3RLi9602b5AeISGEEEKICywSiVCp6GltPXGPi0ajob19A+PjR066FpDL5WJiYo58Po/RaDzp\nvRKJODabsX6My2Vhfn6OTKaE3e7FbncsO75cLrO0FGTbtu0kElEWFoK0tPjO4tXC1NQMS0s5Wlv7\nfu+1tJJMJhkamqS/vwOHw3HSawhxtmSOkLjkyBhgARIHokbiQMD6iIOFhTANDU0n3V+tVkmlksRi\nOX71q98wPDzG0tJS/VfvTCbDwsICGo3C4cOvkc/nTnidXC5HKDRLe3tL/bkNGzrJ5cLMzEwvWzRV\nURQSiRjT0yM0N7txOl00NflZWIic1SidRCJBOJyms7PnhAmd3W6ntXUjIyNTVCqVVV93PcSBOL+k\nR0gIIYQQ4gIql8vk8+WTzo1Jp1NMTy+g05lpbOwgkZjHaGxkdjbC8PAYWq0WtdqIxeLCbG5Go5nl\n6aefor29k76+fvR6PcVikWg0QjYbpa+vY9m9NBoNHk8D+byOYHCMSkWNRqOhXC5itRrZsKG13ktk\nNBpRFC2ZTOaM5/IsLIRoaGg+ZRlus9mM0WgnGo3i8XjO6D5CrETmCAkhhBBCXEClUonXXjtKb+8V\nx+3LZDJMTs7j8bRiMpnI5bIsLU0zMLCJTCbD/v2H0Gi0bN++BaPxtwuiZrNZjhw5RCIRpq3Nj9Fo\nwOt14/E0otPpjrvPxMQUimLD7W4gl8tRrVbR6XTLeojeMD09RleX54yGrVUqFV5+eZDe3itXnGeU\nTCbJZIIMDPSe9n3E5U3mCAkhhBBCXAK0Wi0qlUKpVDouSQkEFmloaMZkqiU5+XwOo7E2nGxycorO\nzk2Aivn5EN3dHfXzzGYz11yzk5mZSRobDfj9LZyKTqclkykB1O91IoqiUCjkjuvNyWQy5PP5+vlm\ns/mE51erVdRqzaqKLWi1Wsrl1Q+NE+J0yRwhccmRMcACJA5EjcSBgEs/DlQqFc3NbiKR8LLns9ks\npZKCxfLb6mnxeJjGxkaSySSVihq73YnNZiebLZ5wrSGv17eqOT1ut4tkMnLS/fl8npmZGV544UXG\nxsY5fHiMw4eHmZqa4uDBIYaGppifTzM/n+bIkQkOHx4mmUwedx2NRkO1WlnVr/XlcgmdbvW/2V/q\ncSDOP0mEhBBCCCEusKYmL5lMhEwmU38um81iNP42CQqHg+j1Cna7/fXKbw1ALZGqLZCaPe66RqMR\ntVq/7LonYrFYMJu1xyVjAPF4jKGhYxSLOmw2D9de+2b6+7dTqZj4zW+GWVoq0N29idbWDlpbO9i4\ncQs2m4+jR6eIxWLLrqVWq3G5rMRi0RXfk3h8CY/HteJxQpwpmSMkhBBCCHERSCaTDA9PYbN5aGho\nJJGIk0zWkpSlpRDVaoa+vl50Oh1TU1Oo1XacTjcAoVCQhgYDLtfxicP09Bjd3V7sdvsp718oFDhy\n5BgWi5fGxtpirqlUkrGxKXy+DaTTCQwG6Oxso1AoMDo6TXNzJ6HQPCaTQldX17Lr1XqRRti+fdOy\nuUbJZJKhtIYOAAAgAElEQVSRkVm6uvrRaDQnbEs6nSYYHGfHjq2nLKogxInIHCEhhBBCiEuI3W7n\niit6CQZDTE0NkUymCYWS+P1teL2NeDxt9cRBp9MSi8VJp9MUCgXC4XlUKj9Wq/W4eUalUgGtduWv\nfAaDgS1b+jh48DAHDrxItaonHI5gMNhJJNJs2NBGR0dtHlIsFsNsdqHX6/H7OxgfH6SlpbCsHLbR\naMRicRMOR5bNUbLb7fh8TqamjtHS0nncnKR4PEY4PEt/f5ckQWJNrRhdf/mXf0kymaRUKvG2t72N\nxsZGvvvd76544Y9//OM0NTWxdevW+nMPPvggra2tbN++ne3bt/Pkk0/W9z300EP09PTQ39/P008/\nfYYvR1wOZAywAIkDUSNxIGB9xYHRaKSzs51rrrmCG2/cQVeXh/7+Xpqbm+tJUKVSIRaLMTR0hEpF\nj17vxGptoFTSc+jQEPPz8/XrZTIZdDpOWrzg983NzaNSmbjqqp3s2LGD9vZObrjhJnp7t5DJVAiF\nakPnotEUDocTqP36brM1EA6HWFqKMD09zdTUFAsLC1itdkKh44fBtbb6aW9vJBgcY3JyhEBglrm5\nGUZHB8lmQ2zevGHFHqzft57iQJwfKyZCTz/9NHa7nSeeeILOzk7Gx8f50pe+tOKFP/axj/HUU08t\ne06lUvHAAw+wf/9+9u/fz6233grA0NAQP/zhDxkaGuKpp57iT//0T6lWq2f4koQQQgghLm21eT9G\nOjr8BAJT9e9FiqIwNjaGVutg06atqNUaSqUibW1ttLS009W1mXA4yfx8AEVRWFycw+/3ruqegcA8\n8XiRrq4+Ghu9mM1m3G4PNpsdh8OF399JJJImHo9RLpeX9TLlcnkOHjxMMJhAUSyoVDaSyTLHjo0z\nNTVzwmFKXq+Hq67aysaNPrxeA83NJrZu3cjmzX1YLJZz80YKcQorJkLlchmAJ554gttvvx2Hw7Gq\nkodvfvObTzhO9UT/EX7yk59w5513otPp6OzsZOPGjbz00kurab+4DN10000XugniIiBxIEDiQNSs\n5zhoafHhdOqZnBwhkYiztBShWFTj87Vhs1mZmRmiUkljs9UWN9VqtbS39zAzM8+xY0dwOvWrWpC0\nWq0SCITx+zvrw9FSqSSLiwsEArOEw4tUqwoej49gcAmNRkOlUvuOGA6HCAbD+P29tLVtwO1uxOVq\nwOdro6NjgGrVyMjI2EnnbNjtdrxeLx6P55Slu1eynuNArI0VB4zu2rWL/v5+jEYjX//61wmFQhiN\nxjO+4Ve+8hX27NnD1VdfzcMPP4zT6WR+fp6dO3fWj2ltbSUQCBx37t13301nZycATqeTbdu21YP+\nje5Q2ZZt2ZZt2ZZt2Zbt9bZ95ZVXsrAQ4j//8zEcjmagis1mQqVKMjMTxmBQodeb2L//RSqVMm1t\nreh0WmZnp5mYGGPr1q0UiyVeeulFrFYrt9xyy7Lrb926FZ3OwjPP/C/BYG3tIrXawMGD+/H5Qlx5\n5XXMzx9henoYqLBz53UkkwmGhg4wNTXNtde+DafTxgsv1K533XVvJZfL8n//739SLqdIp1PE43Gi\n0TBms/mCv5+yvb623/j31NQUp2NVVeOi0SgOhwONRkMmkyGVStHc3Lzixaempti1axeDg4MAhEKh\n+q8Sn//851lYWOBb3/oW999/Pzt37uRDH/oQAPfeey/vfve7ed/73vfbhkrVOPG6vXv31v8DiMuX\nxIEAiQNRs97jQFEU4vE4i4sRXnvtCN3d/TidTlwuNzqdDpVKRblcJpvNUq1W60PWIpFJzGYT8XgW\nq9WNTqenXC6TyUQxmbRs3NhZ/3F7fHycgwdnMBhsJJMF2tp6MRiMzM1NkU7n6Ovrx2SyEAzOkEjM\nMzDQxdJSBq3WSCpVpFwu4vc3AaBWq5ifD7O0lCQej9LV1UE+n2N29jBdXT66uloYGOg7Z4UQatXt\nUjz77LO89a1vxWazrWr0kli/zlnVuEwmw1e/+lVmZmb45je/yfz8PCMjI7znPe857UZ5vb8do3rv\nvfeya9cuAPx+P7Ozs/V9c3Nz+P3+076+EEIIIcR6kk6nOXZsEjBgsTjQam0EAjEGB8dQqap4vW6s\nVjNarQmtVotGo8HptKHTaRkfn2Lz5qvZuLGbeDxGKBQhk8kBsLSUYXHxZa6//mpUKhVjYzM4nX4y\nmRy9vQOYTLXiChs29DM1NcX4+AQbN27A7+9iaWmRbDZLU5OTffteJp9XcDisaDS1pOzYsWNkMnka\nGhq54ooduN219Y4UpUxDg4fh4WMoisLWrQNn9d4oisL8/AILCxHUagOhUJrx8SDl8iQ+XyMtLT6p\nOidOacVE6GMf+xg7duzg+eefB6ClpYXbb7/9jBKhhYUFfD4fAD/+8Y/rFeVuu+027rrrLh544AEC\ngQCjo6Nce+21p319cXlYz7/6idWTOBAgcSBqLmQcFItFyuUyarUarVZLNBolm82jVquw2aw4nc4z\n7p3IZrMMDY3T1NSF1WpldHSUQkFFT08fmza5CYcXOXDgZdTqGMlklJaWZhwOF/PzYUKheex2PQ0N\njRw9Oky1qsPlaqa5ubZAazqdYnr6GE8/vZeurjb0eieTk+MYDG4cjiwqlQqDwYhWq6Ojo4Pp6SmO\nHj1Ef/9W9Hoj4XAYnU7L1NQQfv8APl83JpOVpaUoWq2Tzk4XlUqWTCZZT4R0OgNebwt6vYHh4f10\ndrZhs9lO9RaclKIoDA+PUixqaW3tw2Aw0NXVB9TWQ1pcnCeZHKW/v0eSIXFSKyZC4+PjPPbYYzz6\n6KMAq67iceedd/Lss88SiURoa2vj7/7u79i7dy8HDhxApVLR1dXFN77xDQAGBga44447GBgYQKvV\n8rWvfU26NIUQQghx0YrFYszPh0inC2i1OubnA6TTGVpbO2hqqq2Zs7QUoVKZpbu7Fbfbfdr3mJyc\npbGxDbvdzsTEBNWqkc2bryCXg0AgwMzMPCqVg3K5SHd3HwsLIzgcJpxOJ4cPD1MuG3juuX04HD4a\nGxvRanWUy2Xi8SixWBKNxsrg4CB7977Arl13UamAzdaEWm0iGk2jUiVobGxAp9OzYUMP4+NFAoER\noEgyGUOrzXH99W/G768tjFoslohE5uno2IDHU/vhe3b2GNFoGIfDjaJU0Gg0eDzNzM7amJyc4Yor\nNp/R+z87O0exqKO9veu4fQaDgfb2LubmppmZmaOzs/2M7iHWvxVTZIPBQC6Xq2+Pj48vWyzrZH7w\ngx8wPz9PsVhkdnaWj3/84+zZs4dDhw5x8OBBHn/8cZqamurHf/azn2VsbIzh4WHe9a53neHLEZeD\n350YJy5fEgcCJA5EzfmOg5mZWcbGFrBam+ntvQIw4HJ1sXXrH6DVuslk8jQ2eujs7KGlpYexsXki\nkchp3SOXy5HJFHG53OTzeWKxNC0t7dhsVmZnJwiH45hMTnp6ttHU1E5zczt9fTtJpwvMzs7R3NxO\nqWTghRcG0WgcxGJ5RkbG+PWvnycez9PQ0IZWa8NsbsNobGN8fAZFqVAsZtFoNLhcHgwGG6FQhEql\nhEqlwmJxolZXeNObrsLvb8FotLNp0ybS6TgWixWLxYxGY8TrbUGlUqFSqfB4WgmHQ8TjS7hcznrv\nTHNzO3NzC2f0/lerVYLBKD5f67Ln9+3bu2y7udnP4mKMSqVyRvcR69+KPUIPPvggt9xyC3Nzc9x1\n110899xz/Md//Md5aJoQQgghxMUlHA6zuJimu7sftVpNLBYllSrS2dn3+sKiNhYXAywsBGlp8WEy\nmWhv72F8fBin07ls7Z1TSaVSmM21BUuj0SXs9kZUKhWpVAans4GZmUWcTj9GoxmDwUo+n8VisTM7\nm0GthlyuQENDB4piQqvVYzSaiMfTdHdvJxwOEItNAHqamjoxGq3o9VoikQCVSgC1Wo3BYMJubwC0\nBIMhDAYNmUyU9vZmDAYjsdgSXV19rxcmCJFKJdFoNGg0y1+fyWShWCwTDE7Wp0RAbZhcqVQ+o88g\nHo9jMFjR6XSnPE6r1WIy2YnFYjQ2Np7RvcT6tuL/xne+851cddVVvPDCCwA88sgjEkzigpI5AQIk\nDkSNxIGA8xsHc3OLtLR0v17JLcaxY8ew21tQFKU+rN/jaWZubhyv14NWq8VgMGA2OwmHI/h8K1fd\nBV6/Xq33JJvNYzI1UK1WicfT2O1ONJoldDo1S0tBMpkkhQJUKk7MZiMmkwWVKkOpVMTt9jM5eYxq\ntYqiGIjHM2SzeRSlRHNzBxqNlmIxS7mcp6Wli1dffZ5qVY3NZiEQmMBisaJSVdm6tf/1+UMWEok4\nRqP29fuo6OhoZWJiFrXahEqlUCwW0OsNKIpCJpMiFguxadOGegEGgEwmjdV6ZmsGlUoltNrjRyfd\neONNxz2n0ejra2IK8ftW9bNEoVDA5XJRLpcZGhoC4C1vecuaNkwIIYQQ4mKSTqcplSASiRCJxNBo\njMzPJzEY/Bw7Nobbbaex0YtarcFgsJJMJutzgxwON0tL8/VEKJfLEYksUSiUKJdL6PVa7HY7JpMJ\ni8WCXq+nVEoBvy0FnMtlyWTyJBJFikUFnc6GRlMmGp3H4WikqclLLBbAanWRyRSZnBzCZmsklVrC\nZHLgcLgplfK0tfUQjUaYmprEYtGj1aqYnZ1gx44/YOPG7eh0ekwmG0ajQjK5RCw2R1ubF0UpYrF4\nmZkZxefz1hMMo9FIT08ni4thUqkAExMKTqeHcrmAyWTA42mgsXH5oq7B4CQ7d/ac0eeg0WioVnMr\nHwhUqxXU6lP3HInL14qJ0F/91V/xwx/+kIGBATQaTf15SYTEhbLe14sQqyNxIEDiQNScrzjI5XIE\nAos0N9vp6KiVfk6lCjQ1tVEul4hGI2Sz07S3d6DTGSgWS/VztVot1WqVcrnM6OgEoVCMbLZMNJok\nny9hMBjQ68HjcdDQ4KCtrZlSKUOhUMBut7K4uEQ+r1Auq2loaCaRKGK12imViphMVgwGB1NT40xN\nHSORiDM7O0UuV6RcNuJwNNPc3InZbCOdTjAzM4nN1oBKZSQSCREIjGK3u15fg0hHOLyASqVhw4ZN\n+HzdTE5a2bfvN/T1+dHp8jgcekwmI9PT07jdDWi1WnQ6Ha2tLbzpTQqDgxNYrbrXF35VKBRiWCzW\n+nsxMzOJWp2jo6PjjD4Hu93O+HiAarW6rCLcvn17l/UKKYpCNhvD4eg/o/uI9W/FROjHP/4xIyMj\nqyqQIIQQQgixXs3NzaPV2mhpqVUhqw03q1KpVNBqdXi9PkKhBUKhRXQ67bIv6cViAbVaxf79gwSD\naTQaI9msgaamAXQ6A+l0lFIpSy5XRaWycuzYHCaThvn5adrautm//zA2WwdmsxmzuTZcLZ/PkEhE\ncLsbyWRSDA8Pk0qV0WiqNDVdQSKxSCaTolwuUq1WyOcraLVOGhrMDA+/iE5norm5nVyuiNfr58UX\nn8XpbGLDhs2k0zEWFsZRq7WkUjH0ei1zc1PEYhq2b7+WWCzN6OgkwWCa7u52Wlv9JBJJstk8Gk2Z\nkZFBOjo2UioV8Xhq85symTTz87MsLY3xznfeeMafg16vx+WyEg6HaGo6+VDDcDiE02mR77DipFTK\nCsuu3nrrrTz22GNnXOf9XFntCrFCCCGEEKdLURRSqRTlchmNRoPNZluWyJTLZV588SClkpmOjr76\nvunpSdRqK253behXpVJmfn4Ck0lFd3dLfdmR6ekxqtUUY2MRuru3kkwWcLmaMBiM9XuEQvPMzg5j\ntaq57rrrmJ0dxWbTk0qVGR9fwGZrAsx4PB0EAlMEAkHa2joolytMTk6SzxdQqbQ4HM1otTri8TDx\neBCvt5lUKkZLSx9Op5dQaI5SKYeilCiXcxiNdhwOG+l0mmKxiKJksdmseDwNlMs5dDoFrVZFJpNE\nra5iMmmx2z1UqyqmpiZJp4uUyzm2bduGz9eKosD09AyDg68Sjy9wxRXb0Wp1VKs5GhrMXHXVVhwO\nx1l9XsVikcOHR7Bam/B4vMftj0TCJJMLbNnSJ4nQZWi1ecNJe4Tuv/9+AMxmM9u2beNtb3tbPZBU\nKhWPPPLIOWqqEEIIIcSFoSgK8/MLLCxEUKsNaLV6KpUSpdIUPl8Dfn8LarWaeDyOzeYGdMTjsfoi\noR6Pl7GxCWw2JzqdDo1GS7WqoljM1JOgZDJBuZxhejpAe/s2dDojer2mngQlEnESiSSKosFkamZ0\n9FXUai02m4mGBisulxqTSU02G2Fubp5jxwbx+9soFJYYHs4wNTWGy9VCV9dWFhdnKBZrPUBarZbe\n3m3EYosoiopgcIxKpYrF4qRQ0HPkyDPo9Xq2bHkL09MjeDydVKsVzOZG5uZG8XicOJ12rFYD2Wxt\n/SGdzoTR6KajoxcAjUbLyMg4lYqZI0dGgdqcIZUqw/XXb0dRriAeX2DTpi4aGxuw2+3n5HOrtbuP\n8fEpRkcXsVjcr8+rKpFOL2Gx6CUJEis6aSK0Y8eOevWTXbt21f/9u1VRhLgQZE6AAIkDUSNxIODM\n40BRFEZGxsjn1bS2Lv/SXCwWWVycJ5E4xsBA7+s9RXoaGz2MjU2j1Wqx2x2YzRZ8viZmZkbwetvQ\n6fRkMin6+jxUq1WWliIkEkF8vgaGh2doamphbm4Bi6VWRCEcDpHLVXA4vOj1RhSlhWRyCaPRicFg\n4cUX9/PWt15LX98mGhoayeVy/Pzn/8vRo69iMLiYnDyKxdJGe/sWqlWIx8NkMklaWzei1dZ6hywW\nJ2NjhwgGR8lkknR0bKVUKuJwuKlUasUf4vEYNluth6pUKmGxuJidXcDlMtHY2IDF4iQeT3LDDW8i\nEpkFoFwukcmUuO66m8nnswwOvsKhQy/g97fhdDZQKqkwmy24XD50Oh12u/31anvx+hqVJlNtAdgz\n+W6p1+vZtKmXXC5HNBpj375fcuONN9LVtRGT6cwq0onLy0kTobvvvhuoVUgxmUz1QgmVSoV8Pn9e\nGieEEEIIsVbm5gIUCho6OrqP26fX62lr62RuboapqRlsNgvVagG9Xs+GDe1MT8+RTEaxWp2YzWbc\nbjvj469RLBYwGnVEowrZbJSGBht9fZ0cOTJEKlViZGSEhYUQfn8XGo2GUklNY2NzPRGorUXkJp/P\n0t+/hWBwlpmZADabD71eTygUwe3uwGrtoFyuEg6naGhoJpeLkkrFiMcXaGrqIBYLYrHYKJcLVCpg\nt3uAMqVSHrVag9fbysLCURQFisUcNlsjTU2daLVaMpkYNpuVcjkJ6AkGlzAaE3i9rWi12vqQo3g8\njtlsJ51OMjZ2lJmZOcrlPGp1FK+3E4/HS7VaJRwu89JLB9BoNMzPh9FoTJhMNhRFIRgMU63O0tHR\ngsdzZsuzmEwm/H4TTU1e/P6WMw0HcRlacY7Qzp07+cUvfoHVWqv2kUqleNe73sXzzz9/Xhr4Bpkj\nJIQQQohzpVqt8sorg3R0bEKv15/0uEqlwvj4YbZu7WFwcJSNG7fW5wel02ni8STlcgW1WoXDYUOj\n0TAycoBt2/qx2+3MzwcJBqOMjk4xOhqmu3sb8XgatRry+TR+fzvt7d2Yzb+diz06OojVWmLz5iuZ\nmTmGRpMFqnR0bGJ0dIZiUUdb20ZmZ2d4/vlXaWnpw2y2o9WaGB5+EZutAbPZSjK5hMnken3x0gLB\n4FFcLjeNja3EYhGGh1+htbWXQiGH09mEwWBBr9fR2OjGYrFRreYIh2cpFvNEIuO84x3vRVEUSqUE\n7e0dTE9PMzY2RTyeQq934nA0o1IVCIcncTrtmM1aent7cbsbefLJx3C7bbz5zTdjNBqXvce5XI65\nuQna2xtpbm5ak89bXF7Oeo7QG/L5fD0JArDZbGSz2bNrnRBCCCHEBZRIJNDrLadMgqC2Zo3Z7CCT\nyeByWQmFFmlu9gFgtVqXfUcCWFiYp7OzhcbGRiYmpojHS5RKGnI5DTZbEx5PJ01NWrLZIktLIVKp\nIqOjI2zc2IfFUuslSSZDdHX1kUwmsVj0ZDJ5FhenmJkJYbO14HY3oVKpyGbzNDb6KZcLGI1WYrEI\nVquTRCJKuaxQLleIx4Po9Rby+RTFYo7GxiZaWzuYmDiESgVqtQ6ttoJarcZotOJwuCiXi0xPH8Pp\ntAJqDh9+CZWqRCgUJRwO4PHYsNlsDA7uR6Vy09f3JtTqWnKj1VYwGvV4PE0EAscYGTnGhg1lNBoz\nLpf/hO+xyWSis7OXycmjOJ2O4xIlIdaKeqUDLBYLr776an37lVdekXGX4oLau3fvhW6CuAhIHAiQ\nOBA1ZxIHb8z5WQ2t1kC5XKarq51cLsLiYrD+a3NtbaAS5XKZYHCBYjFKR0cb6XSapaUMBoOZiYkF\ntmy5gYYGB6lUHJ1OSz6fRa+3otc7SafLvPLKb8hmU0QiQRQlj83m5MiR15iYmGFqaol4XMPQ0CTP\nPfciw8NHSSYTaLVaoMLk5CBDQy8zPn6AaDSEWq2iWMxhMFjxerswGq0kk1FSqSjJZJyhoVcJBGoF\nFpqbO+nr24HRqGdy8gDT00eIRheJRuMMDh5kcPA1AoEZstkckUgYj6eJlpYexsdnCIWSdHRsolyu\nYjQaqFSKgAqNRoPVaqe9fRP5fJWhoUGsVhcuVzPRaAyozc9KJOKEQouEwyFKpRI2WyOhUPi0P8s3\nyN8DcbpW7BH613/9V+644w58vtqvHwsLC/zwhz9c84YJIYQQQqwVtVqNolRWdWylUkat1qPT6RgY\n6GF0dILXXhulUtGTzZaoVqukUhG8XjtXX30FOp2O6elZnE4vhw4NYjS6WFxcoFJRGB8/wOioAavV\nhdXahNfbisvVyPj4qxw48ArFYozNm3t46aXnMJtteDwdVKsKdrsOny/M4mKcRCLNr371DJlMimAw\nRLFYpVSq0NV1DS6Xl2w2ydzcKNlsnEqlSiYTZW7uMGo1vPrqk7jdXqBKS8sGjEYb1SpotTb0ejOL\nizMEg2C3u7FYGvB6N6DTWVhcnOTAgVfYtu1KfL4WstkcXV1XEA4v4nI1UyqV0Gg05HIp1GoVsVgY\nlUqN2ezk0KGDvO1t78RisZDLLbG4uMjCwiIajRGDwYyiKMzNhdBoqkSjOdrb29b2wxfidSvOEcrn\n86jVakZGRgDo6+ujWq2e925LmSMkhBBCiDORTqeJxeKUyxW0Wg0NDW50Oh2vvTbEhg1b6gWhTkRR\nFEZHB+nu9hGLJYlGU8T/P3t3FiTJeRb8/p971pK1r733dM++SRpJlrCEZYyMD1gCjCMcDk6AIUwQ\n8UWYGwdcGggijLg1dyfiM9h8cTAOgg874PizjbFsyZIsa0aj2af36q6ufV+yqrJyORfdGhgsWZIt\nL1j5u+rMysp+p/vpmnrqfd/n6XTZ368RDIZYWFgglUoTjcYYjUyazQqJRIBWq0cqtcjnP///cvr0\nY2SzC3iewK1b1xDFAJ4HpVKBWCyDLAdoNAo0GhuEQgrhsMiJE/eTSs2RTGYpl3eYm8uxt1ek1epR\nqdRYX79Jp1Mnm11FlmM4js10OmV+/iSaFqBaLVKrbSIIAs3mPrKsYhhBYrEArdY+uh5nbu4C6fQS\noigzGHQYDNrYtoWiBLBtB9ueMJn0EASHXC5HvV4hHo8RCik4jsXx479AvV5lOByRz88znQ4pFG4z\nN3cwC3VQDGGb73znn/j4x/8HiUSK7e1rhEIxZmaW7uqhBNBuN3jllW/zm7/5y29bmW3fO9ObzRve\nMBG67777uHTp0hue+3HzEyGfz+fz+XxvxWg0Yn19m8nEwzCSKIqCZVn0+02CQZmDmgcR8vnXrzTW\naNQpl9fQ9SjJZB5BENnfbzE7u8hwOKTZLBOJaCwvLwMHidPOzgbl8g66HufSpR0eeeQJhsMhlUoN\nRQkymYzo9zuY5pByuUAgECIY1BmPK1y48G6+9a1/IRbLkMstomkBRNFiZibLtWvXqNf7iGIEw0ji\nOBbD4ZDJxELTDCRJZ2/vGuFwDMua4Dg2mqZhGBl0XadUusm9995Do7FDvz/AtjVisXnC4STNZhlZ\nDpBMzhKNpvE8gdGoz40bz9Dp7HHvve9G12V2dzfRNBnPszl//j2AR7G4hSQptNtN8vkFDCN2WEAC\nHMfkxo3nOHPmNIYRYjodc88977qrWe2rJpMxxeIahuFx4cLZ17zG53sz3mze8LoRVi6XuXjxIqZp\ncunSJS5evMilS5d4+umn/WIJvp8qfw2wD/w48B3w4+Cdq9PpsLa2yZUrN/nsZz/P/n4Jy7LuPD4e\nj7l+fZ1wOMfq6mmy2RyJRJJcLs/Ro2fQtCSDwYjhsEqtVn3NN03NZoPd3VtIUojl5RMkEknq9Rap\nVB5JOugjtLR0nOHQoVTaBw7egM3NLdFqdajX22hakHK5QqvVodNp0+22abXqDIddxuMxihKi32+i\nqjKDgcnzzz+L58XwvDidzpTBYMx0KvCVr3ydfl8kHM6TSMwgihqOA8PhEEFQqFYL9HpVZmePUypt\noKo6x449RDq9RCKRRdM0VDVAobBBu93F8wI0m2UURafbbZLJLGEYcQwjiW07jMcmgiAhCALp9BE6\nnS6TiYBhGAyHLRqNPSqVLRTFZTCosL+/xcLCURKJHJoWIhQy0PUAljUlEFCJRrNcvfoSCwtHXjfB\n6XY7zM7mUZQwrVbrLceE/3rge6ted4/Q1772Nf72b/+W/f19PvnJT945bxgGn/70p38ig/P5fD6f\nz+f7zyaTCbdubeA4MrFYmmRSJxzeodNxKRZvMj+fYWYmz+ZmgVhshng88Zr3SaXSOI4DdPG8Huvr\nVcLhg1mj8XhMv98gEgkQjRqHy89kTNPEtgWCwSAAvV6XYrFIv9/npZduc+HCfSwuLhCJRLFtj1qt\nSa3Wx7JUdN1AkgxAJB6fw7ZtTLNPNOpQKrmUSiXG4yn5/Cni8RlEUUWWBWq1DdbWNlhZuY9MZhbb\nPqKTplgAACAASURBVPgZWJaLaY6R5RDRaBZVDRwugdM4ceJRRPGgGls0GiMcjmJZE1qtOjs7ryDL\nEul0DFWNsrl5GcNI4boesqxj2wUkSSEcjmOaPVzX4eTJ91Kvb9DrdWk0qoTDGrGYTrdbZHY2jSRJ\n3H//u4jFsqiqDriI4sFbzGZzn1Rqht3d2yhKEEXRXvP3MZmMGY97LC0tY5oq9XqNVOqH6yvk871Z\nb7g07h//8R/58Ic//JMaz+vyl8b5fD6fz/fONp1OuXr1FpFInmTy+98k27ZNobBOIqHTaAw4evTs\nD7yf67psbFzlvvtOYds2GxublEo1bPvgg1/Xten3R9x//8PoeoBOp0OjYRKPp7ly5TLttkkiMYOu\nhyiVtphO2xiGjqJ43L59m37fYTyGbPYo5869l3J5l3A4iSTJWJaFKCoUClep1TYQRY/FxeOYZpdI\nJE08nmdmZoGvf/3vsW2XRx/9TSqVXYLBCMPhAM9TMM0Bmhai3a4zmQxoNoskEnNkMksMhy0EQcS2\nx0SjKQaDLrKsUq8X2Nr6HsnkwmFZ8A6BgEEwGCUQiBGP57HtKdXqNqbZZ2bmCIFAkG63iuvaTKcW\nplknm9Xp9VpIks7s7Cr33PMQnU4X15XQNB1Zlmk0ymxtXebYsaP0+3u02wOOHTvNsWPH7/o9DAZ9\nWq0KCwtZIpEIpmnSau1y9uyJtzV+fO8cb1sfoQ9/+MP8y7/8Czdu3GA8Ht85/6lPfepHG6HP5/P5\nfD7fW1CpVNG0+GsmQQCyLLOwsMrFi88wO3vkDe8niiKBQIR2u02j0ca2dU6devBOb6BGo87Gxh4b\nG0Xm5zMIgoBtOzz77DNMJhLxeBbbBsuySCSyBAIzlEoFLl68TDKZJhZT0bQ4pjnhpZe+SjCYIhzO\nMJ06uK6A41jEYrNsbLxEMBgklVqi261SKFwjkcjR77exbZdsdpVut8toZCEIE1xXYDKZoOs68Xga\nz3PY2trDMDLEYhmm0wmWNSEen6FSuY0sq0iSjiRJOI6DKMp4nstw2EFVQ2hakHa7QqfTQFVVFEUn\nGAxSqWxg2yMURSEezzEamRhGnG63jOvKRKNJisU9FKXIYDDAMMJMp1N6vTaVyh6t1i4PPniB2dk5\nqlUN277JYNBgd1dC1w9m1cbjIYGAwvLyDKFQCADbniLLr1/Awud7u7zhLrQ//MM/5Itf/CKf+cxn\n8DyPL37xixQKhZ/E2Hy+1+SvAfaBHwe+A34cvHMcVCBrkkplvu+xZ599+s7XiqKgqiEGgyGe59Fq\nNbl58xaXLl3m0qXLrK2t0em073xaLAgS29sFTFNAVUM0m2329vbpdDqIoohhxMjlFtjbq+F5Hhcv\nvkCrZbOwcJZcboVcbolQKEmz2eH555+m27WYnT1NtdqiWq2Syy1y/PhpVDVIsbjBzs41ut06g0GH\nXq+ObY9JpeZQlACbm1cZjyfU6xWuXPkOly8/gywHkCQVy5pg2xM8T8RxXMbjPoqiM51aaFoYx/GI\nRBJIkkIwGEGSJDzPpddrY9s2tm1Rre6QySyTyRxBVUNEImmCwQiJxAKyrKMoGoNBl3p9F1GUuHDh\ng4RCcY4efYhEYgHPg/HYRFF0IpEsnqeQTKZptYpsbHyXnZ1rbG9fYX//Cum0zK/92geYn19AVVV0\nPUwwqJNKRVldnSUcFpCkCfF4kHQ6cWe5IRxUj0un4285RvzXA99b9YYzQs899xxXr17l3Llz/Omf\n/imf/OQn+cAHPvCTGJvP5/P5fD4fcFABThAUVPWNm6BGowlKpRLXr98AtMPGoQezDYNBj93dGppW\nY3V1lW63ycbGDkeO3IMkqYdJhUu12mM06tLv95idXSIaTXHr1jqmCSdP3oNhxPA8B0GQ0PUQ1eou\nw6GN4/RYXj6LIAQoFtdwXYXx2MZxbI4cOUOptIUovjozIxCNRg+XqDnMzJxgOrU4c+YXEQSBnZ3b\n2PbB7JGmhRFFBdf1GAx6OM70zs9E10Moioxp9jCMJMNhj+nUwnUdQqEog0ELUZTI549hmp07y+RU\nNYCqKvR6VRRF5+bNZ4hEUpw580vMzZ0+LOIQQJYVHMcjHp+h2SzS77coFByOH18hEjlFoXCbUqlI\nPm+jaTqaJlMo7FIul4lEokiSeNhgdptyuUit1iYUipBMZhmPRfr9Dq5bJZOJEwgEmE4HJBLLP+aI\n8vneRCIUCAQACAaD7O/vk0wmqVQqP/aB+Xyv57HHHvtpD8H3M8CPAx/4cfBO83rVxh555LG7jqPR\nGM88800eeeQYmUz+vzwWJxqNU6kUuXr1KtevX+To0YdYXDx613WRSJTJJM3Fi8+xv79LOp2lWGyS\nSOTpdBr0el0URcN1HWq1Int761y48GsoShhN04jFYjSbJZrNGqKoEQ7PoGkq8/MrKEqYUChGtbrL\n5uYVZmdPIgjgugKqqiBJEfL5JarVXfr9Ib1eg06niSi6DIddQCSdXmI6tRiN+sjyQbPXZnOPxcVz\n1OvXcRwLXQ8ynVr0ehXm58/Q7dbo9xuEQjEMI4WqBuh2a1jWCFXVyWZX6PebbG1dYjA4mBFTFI12\nu4ppdgiFooRCcUyzRTqdI5ebYTqdEoul2d8vsLIyR622RyKRY2npOKIoUK+XD8uWj5BlnUgkzWgE\nwWCA0WjM/Pw8oihhWRZbW7ewrBrvec+DP1TpbP/1wPdWvWEi9MEPfpB2u80f//Efc+HCBQD+4A/+\n4Mc+MJ/P5/P5fL5XqarKdDrBdd03fJNcrVbI5WZ/4GbpXG6Or371RSQpwMzM/Gteo2k6p0/fy0sv\nPcd06gIKw6HFzEwGxxGRJJlOp0G5XEBR4oTDSWzbw7Yn9Pt9ptMp06mDrkuIoovjCPR6HTyvjeOM\n6PfrRKM5+v0mmhYkGAxgWSNEUUIQJEBkZmYBx3HZ379GIjFLKBSh329RrxeIxQ7KeLdaZVqtMu32\nPleufI1oNMdkYrK19QqOYwEHxRnG4x6jUZ9er47jgKZppNOLRCIpTLOPKMrMzJwgGIywufkiqhpk\ndvY4lmUiSSKWNSYWyzAc1ohEDIZDh1ptC1mOEgjEKRS2mJs7Ti43j66rNBpNQqEcnc4+0+mQxcWz\nCIJDPj9Ds9miWKxRr1eYnZ1lOOwSCsnoegzXdX/4QPH53oI3TLc/9alPEY/H+a3f+i12dna4desW\nf/EXf/GTGJvP95r8NcA+8OPAd8CPg3cOWZZJJAza7e/vL/Of9wh5nsfu7hYPPPAgkmRRqRSxrMld\n14/HI/b3CyiKSjKZxvNe/413NBpneXmVK1eep1TaQ9c1RFFEVUU6nRK3b79AIpEil1tEliUkyaNU\nKjCZuIcV4jQ0LYrjeHQ6TZrNBvv7W/R6HRKJJIYRZTzuE4vFCQSCNBpFptMp6+uvIMsag0GH6XSK\nIHiUy5v0ek1isQzjsUm/36Zc3uSZZ77A/v51DCOBroeZTseMxyaDQZPRaECv16DZ3MdxXHQ9xPz8\nOYLBMEeOXMAw0gwGbQRBQFUDmGaXfP4ox449zGDQpF4vYJodLGtKr1enWLyJogjoeph4PEe5XKfd\n7uG6EAwayLJMtbpPq1VnOrWZTExarTrj8YB+f0ir1Wdvb4f5+TnOnDkNWKjqlBMnjnD69Cnm54+w\nu1v6oZIh//XA91a97ozQP/3TPwHc9WmKIAh3vv7Qhz70YxyWz+fz+Xw+391mZrJcu7ZJKBRG1/XX\nvGZ/fw9FkUgm0yQSKer1BqXSJqPRFBDxPIdQSCMeNzhy5CjtdoXBoEs0+v2b88fjEe12B9O06PVM\nJEmg291lfX1INjtHNGqwunqKyWTC+vptCoVbVCq7gEI6rZBMzjIejw/37qQxjBSWNT6cOYK9vW3C\n4RDT6YjRaEChcJNyeQNRPOhbBMJhVbsKvV6PZHKe0cjEcSoMBm329m4jyzKyLLO6+iiGkaFQuMZo\n1GN5+X6CwRiC4PHyy18lEknhui6WZSKKJnDQ48cwkoRCcZrNPXQ9TLtdpteroSgH1eNarX2Wl+8l\nEIjiug6Nxg6W1eXixeepVEpYFtg2VKsFFhdPomlBOp0mnc6YYDDMYFAjGo3S7wuk00uEQlFKpXXK\n5QYwZXb2CJ5nIYoiu7u71OtNisVt+n2TaDRMPp8mkUjc9R7U53u7vG4fIVEUueeeezh//vxrPvFv\n/uZvfqwD+6/8PkI+n8/n8/na7TZra3tEoxmSydRhwgD9fp9Go4Kuu7TbfU6duh/bnlIslun3x4ii\niiCIeJ6H44yRJBfL8gALzxNYWDh5pxCD67rs7+8zHE4Ih+M0GlW+/e2vYRhxDMPANKfkcvMYRoTr\n1y8xnQoEgylyuaP0egezJ5bVYzjskMmsAAKqGiQUirG29jzBYAxR9KjVdgCPeDzFcNhAkmQSiTy5\n3Dzf+96/EQhkyWYXqFQOZmUWFk7RbJZxHIdwOEGzWTxMei5gGAn292+xt3cLVdWJRjNoWhhFUVlb\n+y7J5ByLi+eQJInBoM3c3Clse4quhxgO24fJVg1Jkjl69EFqtR0ajX2Gwwbnzr3/TiIiCDAYVGm3\nS5RKa2QyC8RiKTqdIrncPJoWQpJUTLNFLpdFUQLMzR3n1q1XyOfT5PPzFAo3OXbsOK1Wnd3da3S7\nVTTtoDHs3Nwc43Gf06dXGY1Mms0qwaDAsWMrP9S+Id8705vNG143Efrnf/5n/v7v/57NzU2efPJJ\nPvrRj3L06NHXuvQnwk+EfD6fz+fzwUEFuUqlRq3W5mCWxyUY1JiZSZNMJrly5SbRaJ5yuYGux4nH\nk4elpPt0On0sy6bTaXLr1hUuXDjB4uIS1WqHhYWjyLLM3t4ujqOSyeRptxu88MKzTKcW+fwyoVCM\nQmGT8XhMu91gOOzz0EO/jm3bVKtVbNsjEDBQFJlKZQdF0VlaOsdw2KJcXmdv7zpzc6fwvCmTSZ9M\nZoVut8rS0gLl8h4wZjQaMZm4LC6eR9cNOp0KhpHEtqdsbt5EFD1EUULXDRqNXRYXzzEYtCgWbxMO\nJ1hevg/wsKwJg0Ed0+zRahU5d+4DhMMJGo09AoEw4CGKMsFghNGoz0svfYm5uVNks0eoVjcIheJs\nb7/C4uIZUql5AgGD0ajPpUtfIZ8/guNM6fc7zM8v47pTTp68n9GoR7NZQteD1Go7PPDA+5BlmZs3\nXwGGxONparU9crks4/GY4XBAr1fl8cc/jKYdlO/e3r7OAw+cJpfLArC3t0Mo5LGy4leS8705P3Ii\n9KrBYMCXv/xlvvCFL9BsNvn0pz/Ne97znrdtoG+Wnwj5XvX000/7lWF8fhz4AD8O3uk8z8O2bb79\n7W/zvve97875er3Oiy/eJp8/TjKZZjqdUipVEASdcNhA0w6W1X3lK/9IKCRx/vxZQiH1MLGSMU2P\naDTJ9vZt1tZu4nkS8XiabHaBRGKGcDjGK688z97eNpFIDs9zsawJqhplNDJZWbkPXQ9TKm0wmYwB\nB0XRqNW2MIwUS0tnMc0Onc4+oVCY69dfxDTrpNPz2LaNafY4duwCgqBjGCkqlU2i0RwgMxh0kCSF\n4bCFaXZptUoYRpJcbpFabZ9AIAIIaJpOLneU6XTMZGJSq+0QCIRRlCCm2QbAMFJoWpBWq0SzuUur\ntY8giBw5ci+qqmNZFvV6AcOI47ousqxSq23jeR4rK/ciywFqtW1OnHgQGBMMhsjnF6nVCpTL22ha\nhExmBkkSuH37ZZLJHPn8HIIwQZIUPA/W1i7jukN+8zf/bwRBYDjsM5l0EYQpmUyEVCqJ53msr1/l\nnnuOo2na68aD/3rge9WbzRvesGqcrutEo1EikQi7u7uMRqO3ZYA+n8/n8/l8PwpBEFAUBUmS7jof\niUTodOpks6u4rkupVEHXo4TDkTvXVCpFVleXKJeLiGKAwWDI7GyGb3/7aW7f3kIUg4iiSiiUIhSK\nEImkkCSN7e2bJJN5hsMBJ05cwDCSfO9730DTIiiKjiDIdLtV6vVdBEEEXPb3bxAMJrBtm1gsg2VN\nGI0GmGaP69efwbY9VlYusLJyhslkRKdTYzIZM52OaLXKTKcWqdQKe3s3SCbnSSRmEcVVyuXbBAJh\nOp064/GYSCR5ON4Y0+mISmUTw0gBwmEPoD1UdYIoHjRbdZwppdIajmOTyawgyxqjUZ+1tRdIJOaY\nmTlGLJYhmVxgNDpotKrrEY4dewhZlqnVtnGcMYIgEwikmE67VKtlAoEovV6Hubk52u0mw2GHfP4I\nmUwWy5oyGPTI5+eJxZI0m03a7T0ajQrJZIbBoEMul0BRVMrlbeLxGJIkYRhJ6vUGc3OzP9kg8/1c\ne90ZoW984xt84Qtf4MUXX+Txxx/nIx/5CA888MBPenx3+DNCPp/P5/P5XuV5HpZlAaAoyl37RxqN\nBru7LYbDKcOhheeFmZ9fwfMOmpF2OjVk2WNl5ShXrlxkf38L11XQdZnvfOcF5ufvPayItkk6vUgm\nM0OtVsKyRkQiSUajPvX6PvH4DLFYjFarQ7tdJxJJ0+93WVw8jaKEmE4tOp0au7tXUBSF1dUHUBSd\ncDjKzs4rFAoXyeePIooBTLPNkSPnEUUZRdHodBrU6zsUizfIZo8SDieIRLJEo1lUVT8cww6WNSaT\nWaXd3qNW2yabPUoslkVVA0wmJo1GAc/zmEyGaFqI48d/gVptm0uX/j9yuVVWVu4/3Ae1R72+S72+\nxfLyBVqtEltbLzE7e5xUah5dNxgOO4xGPfL5Y4TDMSxryNWr32B29jjz88cYj7uY5oBEIkuzuY8s\nqwyHXSKRFOFwgOl0TK/XQFECRCJJVFXEdW0kycNxukQicXRdIhaLEQgcJGW5XIR4PE6328Gymhw7\ntvLTCjnffyM/8ozQ448/ztmzZ3n00UeZTCZ8/vOf5/Of//ydm3/mM595+0br8/l8Pp/P9wYcx6Fa\nrXL9+hr7+w1AJBBQicfDrKwsMjc3g6ZpOI6DrodYXMzz8suXMc0+W1tXAAiFgszMpPE82NnZYXNz\nC9d16PV6lEpV5ucvcP78e3Acm263jSwbdDoDkslZQEQUIZmcwXUFEokcg0GbUChGvV6k06miqiH2\n9m4DLq7rEQzGEQQBSZKpVLaIx/Ps7V1nZ+cSkUiGSGSGycQkEkkjCC69XoVgMMZw2CKbPUanc1D1\n7uTJHLKsYVkjBEE47PsjMR4PCYViqKrGxsb3yOWOoapBPM9F04JoWohabQdBEJmdPcl4PESWVQKB\nCLOzJxBFidGojyCIuO6UcDjFcNhiNOoRj+fIZFbIZpcZjXqMRgN03aDXq5FOLyDLKqp6UGkuFNIJ\nhYzDGbh1LGtCtVpA18OMxxbNpsPs7BL5/DLj8QhBkA57G40YDhsIgkMqlSWXO+jpZJomzWaPyaRL\nPB7H8zy/cpzvbfe6idBnP/vZ1ww4PxB9P23+GmAf+HHgO+DHwTuHZVm88sp1dnZqJBILnDlzgunU\nZTwe8fzz38A0RSqVJufOHUeWZabTIaIoomkhVlZWmUwsJpMxjuNSqVQQxSCeJxGLzRKPx9jbqyHL\nKdLpZTRNRtcjyLJCKBThoO2iguOM2N/fIhAI0Wjs47oCuh7BcQ4ez2QW0fUovV4Lw0gwmYyIx2dx\nXQfDSLO9/RLNZpFqdRNRFHnwwXcTCERoNovMzR3HNLs4jsBBwiVhWSMSiTksa4wsa0iSjOt6uK6H\nJMkIgkQ4HKfdLiNJErFYjsGgSSq1AHhoWgjDSLG9/TKRSBpVDTAeD1lb+y7Z7AqCIDIcdhAEgdGo\nz2QyZDBoU68fFHnI51fp9WqoqgZ4hEJxbHuCZY0oFF4hGs0SjaaxrBZzc8t0Om10PUi9XmQy6VMq\n3ebs2fciywKJxAyDwYDhsIMkSSwsLCNJYba21giFoqRSUWKxOLoeAEDXA4iiSLW6QaVSxbZHZDKh\nHxgj/uuB76163UToYx/72E9wGD6fz+fz+XyvzXVdbtxYo1IZkk4fwbI8er0pgUCYYDBEOJzGccIU\ni20kaZ3z508yHhexbZvxeMzOzh6goGlBGo0ao5FHPK6xt7eOqmq0Wn1UNUgspjM7u0i/P2A6tQGR\ncrlAIGAwmYxRVZVkcoFer4HripTL28RisxhGgkAgTDSaZjp1yWQWcBwXx3G4fPlrmGYXWVaxrCEL\nC+fQNINyeY3hcIBpDvA8qFb3EEUJSQrQajVQ1QD1egFVDaEoQXQ9TL/fOkyQBjSbZUKhCPH4HOXy\nGoIgHDZHbWLbFuFwDNPsUa1uoKpBNC3IYNCi1Sriug7J5CySpAAenc7BPiTPcwkEokSjB/uYRFGi\n260RjeaIx3OHhRy6hMNxSqU1er02hmEgSUFk+WDf0XhsEgiEEASL5eVjhMNBZmdPIUngutDrdZhO\nB1iWR7tdxDTbnDhxP71eDcex7/q9W9aYublFKpUGijLk1Kn7fhrh5/s59oZV435W+HuEfD6fz+f7\n+dXpdKhU6rTbfTwPVFUmkQgTDocZDAYUCg0GA1DVBNns/OEsxX/wPI+1tWvYdoV3vesErutRLvco\nFttkMkdJp3PY9pStrW3i8TyNRp2XX36OSCSK56nY9kEls7m5EzQadUA8bC7aZW7uFPH4HJIkoigS\nvV6FwaBPpbKFZU2RJAlFCRKPpwmHMxhGilLpNvV6gWLxJrOzp5FlmU6njKaFEEWJYvEmS0vnmEwm\n6LpOPD5DPJ5DFCU2N1/CMFLIcoBSaY1i8RpnzrwPSZIYjXrUaoXDpOo8oVAU13VxXZtmcw/T7B8W\nUxDQtBDgHT52kDgpSpBWa598fpVwOIHjOFjWANu2URQdRdFxXZter8bMzHHK5XWm0zG6HiGXO8Jg\n0MJ1XUyzi21bh/t+yjzwwPsZjUZIksb6+vOI4oSzZ9/Fyy8/Ry53jJWV88TjeabTEWtrl4jHYwwG\nDaLRGJPJgMGgx+rqApp2sKxPFEVMs8OpUye4fv0lFhZC3H+/nwj53py3rWqcz+fz+Xw+35vhui69\nXg/HcZAkiUgk8oZNMD3PY2Nji15vSjye4fjxVUzTZHd3n5dfLjKdDplOx4xGIAgh7r331F1JkG1P\n6fcH9Pt9PE+hXDb51ree44knfoUXXngZw5jDNHt4XpZKpUSz2WE0gkqlgOvagIrnSezv7xOP59ja\nWscwYlQqu1iWyWDQxbLGqKqGKAqMRj16vQ6hUISlpXN85zv/m3g8hyBI9HodNC1KubxGt9ug329x\n4cKvIwhw+/ZzgEu3W7vzeDw+QygUwzDSBIMxJhOT/f1bDAYdLMvCMBKIoogkaSiKius6eJ5ALJbD\nNDvAQUnrbrfOcNhCljUiEY18/iiu69Dvt6jVNpBlnclkgKoGiEQMZFlBkjTC4Tj9fhPXhVgsfyex\nSaXmGY8HWNYEy5ogSTLb2y/TaOyiaQG63TqJxAzBYBxN02m1iuzvb9HtNjHNPq3WFo8++huUShUK\nhVvEYnmazT16vQayrGKaB4UPVldPMze3wiuvPMPm5iUEYcrq6jl0PUS1WqTbLdFq7XLy5FE0zW+m\n6nv7+TNCvv92/DXAPvDjwHfAj4OfDa7rsr9folxuoihBZFnFcaZY1pBcLsHc3OzrJkRbWzv0+y7z\n88sIgkCn06FYrBOPZwmHDUxzyDPPfA1VDRMMzmAYEUIhHdcVGI9H9Pt9CoXbPProB5Ekif39LXZ2\nXuDEiQU8T2R+fplnn/0Ow6HEZOICOpIk0u830PUMmhaiXq/guja6buC6EroeptOp4jhjOp068/On\nUBTtsEfPlF6vTTqdxXEsSqUio1GHbreBIMgYRoLRyGRu7hSCAKoapFbbRhQVIpEEgUCEwaDD9ev/\nTjq9hGEkGY9NEok8ruscJjgikUgaw0hy+fL/odOpsLx8L8FgDBCYTkeMRn0kSSGfP4rjTGm1SozH\nPRKJeabTEXNzp3CcKe12+bCgQhxRFBFFmatXv04iMcuxYw/RaOwxN3cWWVaoVG7R6zWJRjMMBm32\n92+hqgGWls5hmgM0LYhlDalWt5hMRoRCcVzXwnUdgsEw0+mE0ajL7OwqnudQLm/hui653PLh8sEQ\nqVSW8XiEqg6RZR1NC3Hr1kukUllWVpaZTMZ0Ok2CQYXl5WU8z6bTKZFIqNx///kfGIf+64HvVW/b\njNDW1hZ//dd/zc7ODrZt37n5l7/85R99lD6fz+fz+f5bc12XW7fWsW2NxcWTqKp657HpdEq1WqLb\nvc2pU8e+r9/PZDKhXu+xunoGQRCYTCYUi3VyucU79wmFwkSjWQqFTRYXZ6nXu5RKdeLxCMPhiGQy\nj+uuMxqNCIdDBIMhNC1EOJyh1zMZDPosLx+jWm3y/PPPkUodQVGCpFJH2d6+yXg8RlUDzM8fYzSy\nDwsQJJBlDUHw8DwoFm+xsHAK17XZ379NMBhhNBpi2weV4TQtjG2XEQSbyWTEyZO/yGjUYTDo0Gjs\nEg6nSKcXCYfjCIJINJqh262zsfE8sViWQCBCuTzAdV0kSSaZnMHzPF5++V9pNPY4duzhO2WoO50q\ngiAyM3OCRqNAv18nEIjRapVIpWZJJmdoNkvs7FzBNFtEo3mCwSiDQZPJZIgkKSSTCwjCQfErXQ8j\nyzKl0i06nRKRSJpIJMV0OkVRAkSjaQKBCLFYjvH4oHre0tK9lEprrK09R7dbJZtdoVLZRlEUstkF\nKpVNZmZOcN9978eyHNLpLM1mGceZ0mzWMc0Wx47NMBqNuHbtIvn8Co1GFUEYs7Awx/nzp0gkknfi\npN/v0evVfjIB7XtHecMZoXPnzvHxj3+cM2fO3Pk0RxAE3vOe9/zAG//+7/8+//qv/0omk+Hq1asA\ntFotPvKRj1AoFFhaWuKLX/wisVgMgL/8y7/ks5/9LJIk8ZnPfIb3v//9dw/UnxHy+Xw+n+9nTqGw\nR7frMD+/9LrXFIu7hEIuR44s/Zfz+/R6kM8fNMkslcpMJjLJZPqu6zY2Nvhf/+v/4cSJxzh1i/LS\nwQAAIABJREFU6mFs22YwaB4WEpAxjPBhg1DzsFrZZVZWjpBILHDp0rNcuPBubt++Ra02ZDAYoetJ\ngsEYtj1mZ+c2k4nF7OxxNC1MIjFLv9+iVFpHlhUikTSOY7O5eRHLGtLvt4hGsxhGimg0gSwHse0J\n43Ef2x6zsXGRU6few2DQpNfrkE4vkMksEY1m8TwX27awbZvNzRfodKoYRhJBkEgk5phMBpTL63fK\nWyuKxtzcSWx7Srm8RqdTIRrNks8fo9+vH1byFWk09ggEIkwmQ9LpBSRJod+vo+tRXHdKKrVIrbaD\nph1UjTuo+JYDPDzPIRLJIMsyR47cz2QyYn//JpPJkEgkSzyePSzX3WU47LKwcBZZlqlUdqjVtmi1\n9olEomSzS3ieQK22TSgU5PjxhxFFgclkSjAYwjDiFIu3GQya9PtlYjGRXC5Ht+ty6tQvsLl5iXPn\nDu49GvUxDJ10Oo0gCOzubmDbVR599F3Isr+rw/fG3rYZIV3X+aM/+qO3PIDf+73f4xOf+AS/8zu/\nc+fcU089xeOPP86f/Mmf8Fd/9Vc89dRTPPXUU9y4cYN/+Id/4MaNG+zv7/PLv/zLrK2tveG6Yp/P\n5/P5fD89B319Wiwvn/6B1+Xzs2xuXmNhwb7rjexwOCYUSt05brV6zMwcueu5ruvS7bZR1RiqqhIK\nRbGsEZ1Og7m5OTzPptttoigypVIJy2oAEqMRrK2tMxg4fPe732EyUXDdAJPJkHg8gSTpDAY9BEEi\nEskwHptkMquYZpdKZYNIJEUweJBIaFoIVdVx3SkrK/cjyypHjz4IQLF4k1JpnVgsh65HyeePIss6\n4/HBMrFoNE00mkFRDhqKiqJKqXSdhYXzLC6KxOM5rl37d3Z3rzKZDJifP3NYkMDhwoUn7uztOdjz\n0wQ86vUC/X7tznK+V8tkTyY99vZucOLEI4zHA/L5VQThoBT33NwpGo0CjmMhyyqDQRNRlGi19jHN\nDpnMETY3L+K6U6rVHebmThKP5zCMFKII/X6LdrtELreKaVpks0vEYhk2Nl6kXL7N0tJZFEUnGAzT\n6TQolzdJJvNIknb4+9PI5RZQlFkajTiKYgIeiUSMwaBNLBbHMCKoqkYkEqPVqlOtVlFVBU0TMYws\nw+GQaDT6doWvz/fGidAnPvEJ/uzP/oxf+ZVfQdP+Y3Pifff94Modjz76KDs7O3ed+/KXv8y3vvUt\nAH73d3+Xxx57jKeeeoovfelLfPSjH0VRFJaWllhdXeXFF1/koYce+iH+Sb6fd/4aYB/4ceA74MfB\nj5fneXS7XarVBuOxhSiKxGJhMpk0mqbR7XbRtPAbfkovSRLBYJROp0Mq9R+JjyBw51Pbg8pnHrKs\n3PXcdruFbcssLx+j16tTKm0Qi6WRJBVBEBAEhdu3L2EYWWCMKHosLq4giiLr67tUqw1KpQIXLvwS\ny8tnaLdrdLsm0WiOycREloMEg1FkWaFQuEKv18AwkkwmQ6bTKeCiKDqRyMEStpmZ40wmJtXqDroe\nQpJUlpfvYW3tu+Tzx+h2m0wmE3q9GuFwkkAghiCITCZDNC1Ep7NDIpEjEkljmh2CwTgzMyfo91tk\nMosYRopEYpbJZEinUyEUihz2+BmQzx/HtkecOfPL9HqNw+cbjEZDTLNNMBhH1w1Ms4MkyUwmQ3T9\noOeR40yZTieYZo9EYgZdD2NZY4bDNsnkPAsLZ/A8j/F4yGg0wLJGh8vmFILBCOFwjERiFllWMYwk\nwWCEXq9OLJZlf/86sqzheS5w0DOoVtvk+PELtFp14vEUtj1mOvVotdokk1H6fZvptEMoFMY0G2ia\ndGfppCAIhMMGm5u3SCZlTp8+Qbm8h+u6d+JiOBxSrR5UGXRdF01T2dy8xZNPPvl9SzB9vtfzhonQ\n9evX+bu/+zu++c1v3jVD881vfvMtf7NqtUo2mwUgm81SrVYBKJVKdyU9c3Nz7O/vf9/zP/axj7G0\ntARALBbjnnvuufMf4NNPPw3gH/vH/vE75Pjy5cs/U+Pxj/3jn7fjhx9+mFu3Nvjudy8RDkd57LHH\ncV2Xf/u3rzAadXnyyf8LRZG5dOkiu7t7PPLIwfOfffbg+a8e//u/f41ut0M6nadcnnL16mWGwzGn\nTp1nMOhTLJY4deos733v44DH889/E0EQeOihx5hOp3z1q1/GNG1OnDjPYNDj+ee/hOcJHDv2LuLx\nOC+//E1eeeU73H//+0mnDV544VtUq3Pce+9jyLLOxsbNO/19bt58kd3dNWxbwnFETLPP9vZl4vE8\nx4+/G9Ps0WjsYtsWR47cS6fTYG/vCrY95b77Pki7XWJt7QUCAQMQSKUWWF//Lo5jkcmsAjauazMc\ntpAkCde12d5+iXA4zuLivQBcufJV8vnjKEqAQCDC9773z7Tb+4TDSXK5o2xuvogsK8zMnGBn5zKi\nKNLtVllauodo1ODKla8zHn+JdHoRz4PNzRfRdYN0+qCJ6ubm95AklZmZ40SjGdbXv8tkMiKZnKfZ\nLFAqraFpQQwjRSAQIRSK0e+3SSYXUNUAL7zwj4xGXWKxHJ1OhfX15/E8l2RynkAgzNbWS4TDSY4e\nfRDLGlGpbFCpbAIew2GfQuEqoigSDsfo9epcufINgsEwv/ALT9LpNLhx42nC4RBLS0dRVYFabQPP\n8zh16jSXLz/PtWuXALjvvgeJRMJcvXqJen2P+flZVDXL008/TaVSZWXlNJFImt3ddQRB5MKFd9Fq\nXeZ//s+/ZWFhlg984AM/U39P/vGP9/jVr//rJMwbecM9QisrK9y8efOuzY9v1s7ODk888cSdPULx\neJx2u33n8UQiQavV4hOf+AQPPfQQv/3bvw3Axz/+cX71V3+VD33oQ/8xUH+PkM/n8/l8PxG2bXPl\nyk0ikTzJZOo1Hy8UNggEHBwnyPz88vdd43keu7u7NBoHm/xLpRKVyh6yHEKWJQwjgKLoXLv2CoYR\n5OGHLyBJGrJsHDY57dDrmdRqLVqtDrFY9PCD0m06HZNWq0out4xlTQiFYgQCATY3LyIIHkePniEc\nTtDtDrh8+Tqrq+doNIp0u02Gw4MS18vL99Dvt7l8+WscPfoQ6fQC1eoGhpHC86DbrWPb1mHJag9V\nDWDbFrFYjlAoRrF4E0lSDvsCiUiSytrac4iiTCgUQxQler0ax48/gqYFCYdjSJLOzZtPs7LyAPv7\nN5EkDV0PMBx2cF2X2dkTWNaYWCyD49hcvvx/SCTmMM0+kiRiGOnDggZZwuEYgiDQapUOK/SNGY+H\nWNYQQRCw7clhVbYgmmYQiSQolzeQZQXT7FEsXuXkyV8iFIogyzqGkUDXDTzvoMGqJEnYto0sq4BH\nPD5zOEMVxzCSdyrclcsbXL78FT7wgf9Bp3PwAXe9voNtj1EUDU0LMBr1icfj5POznDx5nGKxQCIR\nRFGm7O7uEI+nSSTyhMMxZFlmPB5Tq5VpNht43oTV1SUqlVvcf/9ZwGU4hMXF1dfcQtHrdanXC5w9\ne/yulUy+d5a3bY/Q2bNnabfbd2ZyfhTZbJZKpUIul6NcLpPJZACYnZ1lb2/vznXFYpHZ2dkf+fv5\nfD6fz+d76yqVKqoaIxaLH/bn8dB1/c6HorIss7i4ytraZQRhjOMsfN9ypEKhwGBgs7Jyhna7TaGw\nx6lT9xCJJNne3mZt7RaSJBOJzNDvD/jSl77OvfceIxhMIctRotEk6XSMSqWOZfVJJI7juirxeB7P\nK6IoEUIhGcsaY5o9BoMOzWb7sFRznlAoSK3WQpIEbNsjkVhkMnFotRqoqkskkiafP0Klso4sawyH\nXbrdOoIgoesxZmdPouthbt9+DsdxcBz3TmGCZrOIbVtEIga53BECgSiOY+F57uEeo00ikTSSFMCy\nTGx7jOfZiKKMaXYoFm8QCETvzMwMBm0kSbuTyAyHGtPpBM+D8XiIKEKnUyYcTgICptlGkhQkSWR+\n/gzF4g0MI0koFKfZLDIe95EkmVhsjlZrl+l0ymDQpdutEYtlcV2bM2ceJxrNYVkjLGvAeKwxGLRQ\n1SD9fhPHmaJpQRzHIZtdYjqdMBg0AYFAwEAQREqlNTqdMpFIlnq9gCyrVKtbVKtbJJMzKIqOIAgE\nAmFqtX0KhZs0m7uoqsZgIDE3F0cQDhK22dmDZHo4HNBstkkk5pmbO8n6+lXa7SYPPvgIruvwwgvP\n88gjv/i6+8gjkSimmaZUqrC8vPjj/DPx/Rx47Sj6T9rtNidOnOD9738/TzzxBE888QRPPvnkD/XN\nnnzyST73uc8B8LnPfY7f+I3fuHP+C1/4ApZlsb29zfr6Og8++OAP9T18P//+8zSo753LjwMf+HHw\n4+B5HoVCieFwxCuvXGNnp8zubpVr126xvr5Ov98HDpKhSCSDIDjUatW77jEcDmm1BszNHcHzXG7d\nWiORyKIoIW7evInnqTz00K9z9Oj9nD37EOfPP0wmc5KXXrrNlSsvYZomnU6LK1cusr19i8XFE5jm\nhMnEo15vEwgEePe7H2U4bCAIMJmYJBIHe3jOn38YQdAoFEq0Wh3i8RSqqhMIhEmnFzly5D5Ms0Oh\ncIVC4TqJxBybmy/R7zfxPIHx2GRu7iTT6YSdnauIokoud5Rkco5wOEk4nCCVWiSRyKMoKoFAFEmS\nsW0LURQIh5PE4zO0WkUGgxrXrv07tVqBRqNIu12hWi0QDEaJRjOEw3EcZ4ooyrjulHR6AVnWqVY3\n6Har6HoIx5lSr+8CIrFYjlhsBk0L4zgWmhakXN4glZonlVrCNPt3EqhkcpHxuIeuR7DtCRsbz7Oy\ncgFZ1mm3q2SzyyQSeVRVp9utUatt025XGI266HoQz3MYj/u47hRJkhEE6TD5cGm3y+zuXmM6tTDN\nLmfPvpdMZoVOp0anU2V5+T7S6WWSyXmWlu7l/Pn38Yu/+FHOnXsfe3u7XL36LKGQw8mTxzl58j5i\nsRB7e5sMBj1KpRLp9DyRSJxer81k0gNcDCOCIEgcOXKenZ0ilmV9X+y+uiwzlUpTr3dwHOfH+8fi\n+2/vDWeE/vzP//yHuvFHP/pRvvWtb9FoNJifn///2XvTUNnys/73s+ah5rlqz8PZZ+rTc0cT7cS/\n+Sty0StchHAvXBDxnYgvfCFBBEUQfBe4ivgmIEjkwiWIJOL0///tkDmdHs7pM+29z55r2DWPq9Za\ntab7oqp3bLs7iSa2plOfV2fXWlX123WeX+31rOd5vl/+8A//kE9/+tN86lOf4rOf/eyVfDbA7du3\n+dSnPsXt27eRZZk/+7M/QxCEf9f7LlmyZMmSJUu+N47j0G53mExsABIJk2KxwGQy4eSkzs2b62xv\n715VeubCCX0ODk7Y3l4lm82RTKYAi9msx+WlQKlURhAE2u02qdTb0sfndLttrl9/hmazRTxeuFKG\nSySyDAZd1ta2SCZTDAYNptMRjx59Gd+X2d29w/XrtxBFkV6vRRDM2Nzcotu95OysyubmTR4/fsB0\navHkyZtksyVkWeXyso4sywRBgCAY9PttNC2OrifI5WI0Ggc4zhjXtdH1FI5jUa8/QddjuK5FvX4I\nBBhGgkymjOfZxOPZq7a3uZCCz+rqNer1A+LxDKpq4Hnz1rnJpIfvu5hmiouLR4vWsFV0PYaux6lW\nH7KyEpDLrRMEHtnsKhcX9xmNulhWn/G4x2jURhBETDOJaSbJZtc4Pn6dIHDZ2noR2x4iyxqj0SWC\nAIPBJc3mMdPpEMNIEkUhs5mLqurMZjaaZuJ5LqaZJJ/fwLYtoigik6kAIo4zIh7PkU4XF7/HKgcH\nX8G2x8iyQRh6qKrBZDLAccaMRi2GwyaFwhaxWJrJpMdg0CKbXSMMA+LxLNnsCsNhkyiaJzLb23cI\nghlf/er/S7/f4bXX7mGaBWRZxbb7nJ8/JooMwjDC92c4zpjr1zeJxeL0+31mM59stsBkotLpdFhZ\nWXnP2JZlGVnWcF0X0zQ/gN205EeV7zkj9F+F5YzQkiVLlixZ8oMTRRHHx6d0OmMSiTyxWBwAyxoz\nGrVpNGoYxiq3bj33ns93XZeLi31u3drD8zxsu8Xu7ibHx2cMBlNisQxPnhxTKGwThi6jUZ/xOCSd\nXqPdbrKx8TSKohKGc5P2avWQvb1bALz66peJIgtFCXj55Z/Fsib0el2q1RobGzeYTKYYRhpRFHn0\n6E1efvnj1GrnHB0d8tZbX+P553+OWCyDaaYQBIl2u8tgMCaTKeA4DvF4Acsa8vjxVzGMOFE0V7Qb\nDjsLg1QXVTUXqmoJ8vkNYrEMrdYx+fw60+lcJa/ROMSyBuzsPE+v1yAWS2EYSVqtE1x37jUkSQph\n6FOtPkSWVWRZZTTqsLl5h+l0TDKZ59q1jyxmbvKcnt7l+PjbFAqbTKcDRFGhVNpBkqSFT1ACz7MX\ns0ATtrdf4uLiPqqqk0gUUBSVdvsMx5liGOZVm9u8nU1EVQ2CYEYqVaLTqZJM5kinK8RiGcLQRxQl\nms0nKEqMYnETxxnT7zd5882/x3HGiKJELJZCkiQcx8I00+TzW9y8+THi8Sy9Xp16/RGmmSIWy5LL\nVRbxMsF1p2iahm2PSSYTvPbaPxKGDba37/DSS79ALBbDcWY8evRtKpU1dnd3EQQBx5mwubmC53kM\nh5eoqoyipFEUhUbjkGeeefp94/zk5DE3bqwTi8V+iLtnyY8KP7QZoa9//ev81m/9Fo8ePcJ1XYIg\nIB6PMxqNfigLXbJkyZIlS5Z8cDx5csx0KrC39/Q7ui+SySSKonJ+3ieKpoRhgCi+W4ZY0zRSqSKt\nVgtNU4nFNBRF4caNa7iuS7PZxLKaiKJKLBbHcVwGgwmKkkZVY7iuQ6/X5e1rlHa7ha4biKLIeGzh\nun1WV8tMpxb5fJF8vkguV6BWa5DJFAjDiHr9jPF4wMOHr+E4IzyvzUc+8hN4nsdo1Gc69RgMBsRi\nKWx7iGnGse0JYejjOHMZ6WSyuFjvKbqeoFTaptdrEIYBzeYpyWSOfH6T2cxGUVTG4y6+P2M47CAI\nIqnUPKkyjDgHB9/AtkekUkVEUcE0U5yevrGQvN7DNDNY1oAoCpjNHAwjwdHRt3Bdi2vXPoos64vj\nEQcHX2dt7SmKxW2CwENVNXQ9QRgGOM6UdHo+13P37j8skpF1PM9hNrNJpQoYhkM2u0YQzGi1They\n5AG6HkfTTDqdMzzPwbIGeJ7N5WVALJZBkmTCMOLy8pDpdIAgwHQ6ZGVlD1lW6Xbr5PNrFItbHB19\nG8cZYxgJarVHJBI5ptMRoqggyxrZ7BqJRJpW6xTXtXBdG9OMk0zm6XbryLKB7ycZjabYdoAkRaTT\nWcrlLQwjx8HBMeVymp2ddSRJZjQacnK0j0YAeo6n7ryA63rvG+NBEOB5Lrqu/9D3z5IPF99zRug3\nf/M3+au/+iv29vZwHIfPfvaz/MZv/MYHsbYlS96T5UzAEljGwZI5yzj4tzEcDhkOZ6yvb79nC3q/\nP+DGjWcBgXa79b6vk8nkabfn7VuFwndU5SzLotHok0xWWFnZZmfnNhsb13GckGq1RqvVwXUDEonc\nYj7FIAxFLCtgNLKRJA1NSzObCTx6dB/HmbftxWIxstkkl5dPePjwWzSbp4xGDarVR6RSMsfHj3n1\n1W/z+utvUK93OT8/YzJxGI9tBoMub775Cr4fkEoVmU77DIctms1jxuM2qmoSi2XIZivEYgl03SSZ\nzDGZ9KjVHjIcXiJJKq3WGfv7XycIPFZWbpJI5BgOWxwfv4bnOVQq14nHs5RK2whCRD6/RSJRwPd9\nSqVdCoUtVldvk8msEI+nefbZX2A6HXLv3j/wd3/3/3B6+gaKoi28iSS63XNEUWI87uM4FrncJvn8\nJiCQSBQXYghldD2OYaQwzQRBECzMXCeIokShsIksK6yt3cR1Lc7P3yIMfQwjTiyWIZdbR9NiTCY9\nut06/X4NRVHRNANFMXGcCaaZZm3tNmtrN9E0g2Jxm0rlJrOZzWTSZjhsU6vtc3Z2n3b7DElS8Dxn\nMQuVIZfbXFToZHwfNC3FbObRarUIQ48gsBiPuxwe7lOrHROGLoqiEkUBiqLQ6bR47W/+iszDu+y1\n6sy+8vd842//PzzPfVdcvj0j1O12KBRSSz+hJd+T71kRAtjb2yMIAiRJ4td+7dd47rnn+OM//uP/\n6LUtWbJkyZIlS36IXF62yWZL7zuH6zgz0mmT1dVNarVT0ukMmvbuu+qyLNPtdlhd3cAwDABGoxFP\nnsxb2AqFKbVaF1Eso2kqQeDS7Q4wjAyO46DrJrOZTb1+Tj6/Ri5XYjIZYtsPSafzFAplNC3k9de/\nje97DAYTbNslDEN03WQ6dcjnK7Ra5yjKiGx2i5WVZ6jXq8hyAlDxPAdRlMlmVykWd5nNLC4ujhgO\nO5RK10gk8riuRa93ie/PiCKBeDyP607JZNbodE5JJHL4vosoKpTLu5RKmwwGLS4u7mHbY2q1R1y/\n/jESibn8c7N5wnQ6BMB1rYX56phG45Ao8kmlyiiKynDYxrJGrK/fwfd9ptMhsViCVKpEt2uSSpXJ\nZlcQBIkw9BYzLwqFwibt9jG+Ly7MWetMp3NxA02LM5vZRFFIGCYwzSRRJCBJ8+fKskIUBUiSCgjE\n4xlmM3dRvckhSRKNxj6KYpJKldjf/yqZTAVRlGm3T7GsAbXaPrXaIWEYYBhJ1tefJpEoMB53kOUj\noihiPO4yGnXZ2HgKTYshywq2PSYMBTzPQ5Y1UqkSQeAwHE65d+9VnnvuY+ztXUcQPHRdoVQqMx43\nGY8n7H/tf3I7Crm2s42hG8Rlldf39xnEZeBj74rNyWTCYHDJs8/e+GFtmyUfYr5nIhSLxXBdl2ef\nfZbf+Z3foVwuL2d1lvyn8raJ1pIfb5ZxsASWcfBvpd8fs7e3877HJUkkCAJyuQKjUYtm84JYLE0q\nlUaWFYLAp9lsUq1ecHKyz9pamv39J5TLBc7O6pRKG+i6jqZpnJ9fcPfuaxhGlkplk9HoDMOIY9s+\nrtuk3a4RBD7xeIbBYMBg0EIQRPr9BqYpAAFvvPEasVgCVTWIxbKUy6u4rs1gMOHg4C6Fwjrr688w\nmx2ytXWD09MDut0ea2vPUCiscXHxmGQyT6GwztnZQ3q9Oq5rU6lcQ1FMZFllNnMxjCSCIDKdjnCc\nEVtbLyAIAqlUHsvqMZ1OFjNFMppmEkUQi6WAEBCx7QGXl1Nse4RtWyiKSiYzV7HL5ze4uHjItWsv\nkUqV0LR5Enh+fo/BoIXjjPF9D8/TcV0bkBbS2ArDYQvTTJJKVQiCGbpewjQzhGGEYSTo9ep43oxU\nqkA6XcF1h5TLN/B9l+GwxXjcRZY16vUnPHnybRKJHLqewHEser0audw6tj1G03Ti8RyKYlKtPiCK\nAjY3n+HBg1fI5dZJp0tkMitY1hBNm89QzRMqkVgsRT6/Si63wuHhNwgCn1SqsBBncHBdi+l0RD6/\nSaHwtjDFPhsbT+H7UxRF4+HDuyiKyvr6NU5OHpHNlpAkjVqtStiokcunMfR5wp1JpynGJL71+B7d\n7n8nk8kiiiK2bbO9vUujccTt2zvLtrgl3xffMxH6y7/8S8Iw5E//9E/5zGc+Q7Va5fOf//wHsbYl\nS5YsWbJkyb+DMAzpdrtcXnaZzTwkSSSbTWLbzvv6rwCk0ymGwx7FYgXDMLl2bYNut0e9fozjzLi8\nbGOaCXK5NGtrP8f169cZDPq8+eYBnU6Xn/3Zm3ieR7PZ5OjoiG53ukg6dDY3tzk9PcHzQhRFpdU6\np1hcYzIZMxi0EcUZuVyFV1/9O6rVA4rFHW7c+Djt9iWCINFq9XnrrTeIxTLIsoAkJSkUdphMbGx7\nxt/8zV/h+z66nqBeP8Sy+gwGl1xePqHVOiEIfBqNk8Ww/4SVlRs4jsX29vNcXLzF+fl9trae5cmT\nV2m1jslmVxgMmmQyq0wmg8WcTYLxOKTTOWc6HZJIFJAkmVxuA9e1kCSZ6XRIEAj4vodhJNH1OKlU\nnlhsfsEeBAGaFqNcvo7v+wiCwNHRt9jaeoFer8po1EFVNUwzSRD4mGYSTYvR7da4vHxCGPqLCktI\nPJ5he/sFLi8PF0pvRWazKbqeIJUq4Pszjo5eYzxuY5px7tz5GdLpNZrNJ8C8KqjrEoIg0evVMc3k\nol0ugWmmqFT2cN0prjuh260RdE6Q4zl8M4WRSXNxcR/TnMtzC4JIqbTH2dmbZDLzapYkKbRap5TL\n10ilSvi+S79fI5nML4QPciSTWU5P7/Lw4Wt87GM/h2nGuLjYR9d1hsMGUuRSKs7bL4MgoN2+ZGdn\nlcbUIggGHB5eEIYRuq5QLue5ceM2iqJ8ENtsyYeA75oI+b7P7/7u7/K5z30OwzD4gz/4gw9oWUuW\nvD+vvPLK8i7wkmUcLAE+vHFg2zbD4RDfD1BVhUwm831f3FmWxePHR8hynExmFU3TCIKAwaBPvd4m\nmTxmZ+e9q0L5fJ5G4xGmmUBVFTRNY2WlQi6XZX//mOeee4lEIsHp6T6GoXF0dMRgMMaybM7OuvzD\nP/wdiUQGQdAoFm/wwgu7tFoNvv3tb2CaKURxyje/+SUKhS22t1/EcVxEcUgmM08ojo5eJwwhkVhh\nNpPxfQnH8ZAkyGbXSaVWGQxqQIRh5BiNLB49+lssa8LGxnOUyzuk0zkePPgax8evo+txgiDEti0c\nZ0IqVUCWNSCi37+kXn+MJCm02+fIssrjx19BEAR6vTq6PldeG43aRBHU6/uMxz2SyTye5y7MV2UU\nReXsbACECIK0kOmO0Wwe4XkOo9EMTYsRBDNARRBYtLDNJaaDwEPXU4tKkUOjcXDVZpfJlIkiEEWZ\ncnmXy8sjDg+/AURMJj1WV2/Sah0xm9mEYchw2MRxJos5oCSjUYtG4zHXr3+URKKAYSQJQ58g8Egm\n53NGg8HlonI090RKJh263Qtcd4IkzYUfDEFAOr/Pc3qSTDyHNe5wb9TEzK3R7zfI5dZ0/FC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77zJXvt2jVeXCh0fPrTn/6PX9mSJUuWLFnyY4KqKljW7Ps6d14NEd81L6GqKslkjMGgRybzdgIg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GbGaRzS6TTi8yHveQZYVMZolcbo1m84itrXcDn06a6bRPLveLqKpOs3lAr1cPghJEUqlCkPrW\nQ9MSaFoYQZAD/41NNJokkcgxHLYRRQnf94hEEkGiGEiSiCjKTKdDotE0o1GPUuk6qhrm9PQ5tdoL\ner0aGxt3gzhxA8dxKRRKpNNL+L7LYNAkHI4RjaaQpCzN5hGdTnUeYT2zSSYXAolUGNd16fVOabeP\ncRyLdruKZY2RZR3XtXEcm0JhnVJpk+Xl6xjGCFkOEY5nSSSLgddGQdfjQUmmjCDMiRCAKM4JQXXn\nh6w2j1lJfxpl7vDo5DEvzAmh2FymV6/vMhjUicXS+P78s5blEI5jBQEfI8bjDoYxwnFmqGoEz/MY\nDBqMRh2SyQKRSJRebx5eoSha4OVy0bR5Z5XrzhiPewwGLXq9GtnsMqenz1DVOMVikqWlTSqV53jd\nM7LdKtK4g+LN75WdxU2u3HiT8bhNufwSKyu3iEbTNJsH6HqUwaDJ8vINjo4eMx53GQ6bVI4eosgq\n0WSeaHQ+xapWn6Hr0YAoCXQ6JzQah4z3P+JWOEXImWKYQ/ZHbZaufQVF0WlUt1COH7E5aqOEwjw4\n/t9oizLR7DK12i6C4DMedzk8/ITpdMB0OiIcjvPSS18LPG8z4vEcp6c7iCIUCqvcuPFVtrbeQxRl\n2q0TSp0jBvaUO+kCVq9B1LVYFFX0aIonz++hrGxy9epLdLunn9nMicUSVCot8htX+MH33uKr0Rjt\nRJKzwYCS76PJMt9/+pTM5cvcHQ6JRSI0ajW2ZjNqW1vz5LvNTS5fu3a+Hn4Kz/MwDIOYrnP3yhWW\ncjnUYJ31fZ8nR0eMxz/fqoHpdMrJ0RHmaEQin2dpaemndiNd4J8eF5/OBT53+DxOAS7w88c/x/tg\n/mLYwzQtJEkkFov92EO2Wq2jaRkePXqCJKlBMaNJPB6hUFg4L4xNpXLU66fnRAggEolw69YmjUaT\n4+MtBGEu6xAEj0Ihw8LC5s9s/m212oiixrNnTxmNTDKZIktLl8nlVvA8j8PDQ54/f8adO/+GwWCM\nqoYxjBGpVAHXFYIXTIFicZOzs+dUKocsLWkMh30EP8TdbwAAIABJREFUQUJVw7juFM8DxzFJJK4G\nccttBMEjn18lEkkAIrZtEg6nmUx6vPvu76OqEUQxRL1+wuLiPBEuHE7SblfI59eZTgfIcihIKmuw\nsLBGt1sjl5sXJn5a9rm4eJVOp0Knc8Jo1MFxbOLxDNnsKroeDXb2G9j2PEY5FssQDsexLCMgrPMX\nVsPok80uoSjrnJ29CPp85ol4yWSek5On5PNrjEYtfN+jWLxCvb57PnE5PX1KqbSJouhBWphPKBQO\nikxPaTYPiESy1Gq7hMNJVDWMrsdwHIdEooBhDJlOB4TDKVKpYlDw+Wn55tzXMptNkWUZSZp7vAaD\nDr7vk82uBJOsHtPpGM+bIcsyk0k38BZlMIwhtj3FcWxqp8/pv3ifnCBibb3L/qRPefNLqKpDo7GH\nrscIh5NMpyNkWaZcvkWzuct0mqFYvEwslqNQWKNUuoZtj3Fdn0Zjj8PDB2SzZXzfOw+SCIXCmOaE\navU5N268iSxrzGZT1EGLy8XLc5mfKGGaE8rxPLvdE0KZJVzXYXPzS4zHXXzfI5ksMpn0sO0p/X6T\nwaARdF3dRNcjjEYt+v0zZFlnYWEtmOpUmE7HLCysIcshut1TwA9knmeIosho1KbfbwbR0XNJ2Pr6\nXVqtA4bDHqXSNXznEeYH/4VNQSDiObiCRNOxeFSXmazeYTazGI3aGMaAyaQX+HvmHi9ZVsnlyljG\ngNy4TdH1sPo1dg7uM1i6QTSzQi63SK/XxDSrOM4M3xeYVJ7xKwtrqIDrRllYWOdk1KExbONFM2in\nW1wSJabhBIdHD3lVDdO3JliSQk+A0OINolGRen0Xw+izuLhJJrMUlAjrTCYm3W6FhYUiyWQez7MY\nDtuoqoSuS9idPUa1XeSZgSrOiGXm5FwejegZAxzfJawIrK5eQVVDHB7ucfv2L3B2VqGxt0W7ccql\nOzcglaFbO0VKJKiIPseNBmuaxlIsxqVcDml3l3uWxXAy4RdUlbvpNIIgcPTBB7x/eMiXv/nN8+eC\nbdv86O23cXZ3yR0dMel2eUdReOXuXTRF4Q/feYfvv/8+f/6f/hNqqcRXfvu3+fqv/dr5lN4wDKbT\nKbFY7McI1t+8hrb45NvfZmk2I6UoNC2L/XyeN/7Vv0LX9Z9pXb7APzwuiNAFLnCBzw3mEbJzudN8\nB/mfR2+Q7/tUq6fUah00LU4opON5HtXqMaGQwPp6mWg0ynQ6ZW/vhKtXiywv/9UOpu/7DAY9dneP\nKJeLZLNZVFXFtmc/9rtCoRALC/lAYjOPXE6l0uTzuZ+ZBNm2zf37j6nVxsTjJUqlK7juDMPocXJy\nwObmLRKJHIqSotmssbR0nUQiTbtdp1rdJRTSCYVUVDWCaRocHm7T6Zzi+/Pd/XR6GU2LkEiUAumY\nTKNxyGjUIZstE42mKRY3mUx6mOaYcDhFKBQmkcgHRZJn5HJrDIcD1tfvYhgjarV9HGeKIMgYRp9u\nt45pjpAkkWx2jd3de5ye7iDLIWYzIzCuOwyHLXZ373H16uu4rockyeh6NEi7ShOL5Wi3j7AsA1Gc\nF6LOzeYi/X6NaDTF4uJVQMQwBoBAuXwLSZKDHXMfRdGpVJ6RySyTzS4Tj+fo9U5xnBmrqy9jmgYn\nJ08RRRnDmHuSTHNEtbqFKIoUCpfxPPd8YjG/n1xMcwwIwTkniESSNJuHWNZTYO4dicUyqGqEZvMo\n6GRyURSwrHEgZZNpt48xzUkwcRJoNA5IJktEInPSNe+YgWr1OVrlKZu+jyZCdjJAOH7IzqSLml0l\nFNKYTPqEw/Pd/UxmJSDEJrqeoNM5C9LmdHq9KqFQhFxumUJhjd3dv8TzfBYXr2IYfTqdOfHwfSfo\n0rmHJKksLV0nLCnIkowPzJwZlj3BdSx0KUQkkqbZ3Gd19RWi0QTDYYtabV7mOx63GQzapNPFwDcG\nsqwxHveRJJn19avoeozTnfcxT7eYjrvMIimiy7cCydcDGo1DVlfvEAqFgyQ8i4O9H+H78xRHQRDR\ntASiqFKrvWBw+IBfSRa5nCowHDSRFY2cOeakdcDR0QMWFi6hKKHzQI55KWwCWZbQ9Xl4R6pf56qk\noIcT2FqYmW1xWH3OUFERBB/Pc4nH01jWhG63SmTUIZ1dRtfj1Oq7TCZ9UqLI4613kXIrXPMckokF\nakcPuWybrIYTGFqUmmuzYE3Zah8TL22er6fzsloDmE/2Tk+fUSqtoigyrmtSKq0zGtVZWFhA1xW0\nmE4ml0bJZCkVltAVBdu2GHk+iWwB0TTIZFKYpsHCQplnz36A4t9jfP99sq5Hb/8FH7/7Z+y5Di+/\ncpfQUoEv5DM8/Na3SAkCz7pdhoeHJGIxnts2V9Jpbn/5y+fr182lJe5XKlQqFdbW5p/zi6dPSZ2c\n8NL6Ok/abUrjMUuyzL1PPmH37IzYJ5/wv8bj3CyV2O73+dZ//I9Mmk2++e/+HU/v3WPw4gURQWAk\nSSzfvcv1W7c+05f2k54BD7/7Xe5qGulg86oMvKjV2HrwgFfeeONnWpsv8A+PCyJ0gc8dPq/ekAv8\n7HAch0ajSa3WxvPm8qj79/+SX//1b1AsLqCqf/+UtL8P9vYOmExgbe3G/08GUWI4HPD8+QGbm6sc\nHVWJxwssLCx+5qE6L0JNo+sRTk5eoOvzZCpJ+izR832fo6MTms0+0WiGaHReJNjrjahWn1MqZUin\nUzQaLY6Pq7RaPWx7RiwWoVjMs7xcJJfLfuYcLcvi2bMdDENAVRNks0Vs2yKRSJNO53n27BHb20/x\nfQ9VjaMoWvAC5+C6Hq7r0e+3se3xecntvAgzi6KoXLr0CqlUKYgU9ohE0siyiqJobG//AEman0un\nc0Y8niGTWcY0x7junAQuLl6dRy93ThgO28EOdZdIJIks5zk+fsT6+qvIcojBoMlw2KbVOmY87jKZ\ndAMiNMW2p9TrO+zv36NQuEQ6vYrrmoRCUUIhmXz+VUxzRKczl4y1WgeUy7dQFJVu95TJZN5HY9tT\nTNMgGk2h61EymaWg7NRldfU2z5+/y2jURZIk0ukl+v3GebRyvb5HLNYKJH9ldnfvUa1uoWlhQODG\njV8iFsvi+x6iKAE+lmXQbB7RaOyxsfFF2u0TisXLDIctHMdmYeESyeSnkrohvV6NbreCqurYtsVs\nZuI4c3P/XIomYRhz+dOnkyxdT9Jo7NHv14lGM4CP67q0D+5TnAwp2FMyskLO99hqHtCpH6DceJOV\nlZdIpVbwfR9BkAiHE7iuHRD7OpNJF8dxCIU0xuMeV668TiaziKJoLC5usrt7j0gkhapGcF0Hx5kR\nCkXwfZ9W6wjfh3L5Nj1RpNk5QxGFeTiBOaE77iBnV86jpJ88+Q4bG1/AcWboejyY2kC1+oKlpU0M\nYy5Z9DyHbLYcREyHef7B/8OmOeJy6Qp9UWRsT3m6f49epkQoFAb84P41efT+f0E/e8ErkQS7nQq2\nGmY2s4My1CiiKNE93SakhLCsKa7v4tsGtmWQcl2aIR1F0ZCkEKFQmKWlTQaDOXELh5OY5pDJqM0l\nPCRRYOvkMW63StKxyTs275xts/L6b7K2dodQKBZ8thYtc4hpjlG1KKqqE4tlUNQoC3qcUOEyyZnN\nzPVQ7ClpQUCWQkgIzGyTfCiMU9vleDalULjCdNpDkhQSiRSKEmY6hfX1l0kkUkgSyDJsbX3A7u5f\nEo3qXL/+C1x75XV2Kjvczi/x58fbXIulyOkxzjyXsW0SvXSNZDLHeNwjny8zGg2oHjxmwxU4vv8e\nyW6TK7rGoNfh/9rb4pdeeZlBM8Z0OOTPGw2G0Si/Lsv0bJuI4yC0WufrYb/fZzqdopomzeNjjo+P\nefPNNzl+8IBl0+SdDz7AtCz2ej1u6Do7lQrdoyNej0R4aWWFkCxzO5vFaLV47733+I6us2kY3C0W\nEUURezbj/nvvsa/rbFy58jc+A7rdLtpgQHpx8TN/fymX4+2tLfg5EKHZbEaz2QQgl8v9nSdVF/jp\nuCBCF7jABf5Zw7Isnj/fRZbjLC7+VcBAtVpnOlV4/PgFm5tr55Kyf2y0Wi1GI5fV1cs/cccwHk8g\nipf45JNHRKNpVlbKjEbDnxh4oKoqqVSRZrOJrqtkMp/9nv39Q8Zjn42Nl4D5JEcQBOLxBJ5X4v79\nD5lOnwZelzxXr94gFArR73eo1ytMpzWq1QbXr2+cJ9Jtb+/Rbk95/nwLVV3AsjTmxZXPiMV01tev\ncHZ2yu7uM1zXwbIsDGOKIIQAD0lSiURUNC1KrbbHeNwmn18lHI4TiaRZXn6JVKqIJEn0+w3a7QqK\nEiKVKpLPr+H7PpNJn0Ri4fyFcy4VzFOrvQjkanVs2wYEHj16i9XVV0inM4BHNJokEknieT6qGiaT\nWaTZPMT3PRRFDfw1DpY1wXHmKVrXrv0SpdIG29vvUavtkcut0O3WCYfn0dPl8rwcdDjsMBy2EYS5\n9r/Xa5BIZND1OL7vMxq1keV5Gakkydj2BFUNM5n0SCTmU6BLl14hmSzQaBwym5mk00uBB6pLqXSV\nnZ33WVraRFXD+D4oioIkhQIpXphIZC4bq1a3OTvbotOpks8vk8kssrh4HdMcMx7PJ5HhcAJdj5FI\nLHBwcA9BEBgOGziOg+c5aFqUwaDGdDqmUnmO63r0ejXS6SVu3vwavu8GfT0Knudx8tG3KI/a6JKI\n4PvkFJV8doXd/Y+Qwwmy2RX6vRp2bYeQOaHpWtQcm0vXfplwOM7BwQNMc3ReRNrr1Xj69HskEnnW\n1l7BcWz6/RqaFse2p4FEziMezzMet3Fdl08++SPSqUUe1V5wSQmhSyomUNUiCJllTk+fsrCwjm0b\nZLNlHMcOPjOBdLqMJH0QyCBNrl17k3A4gWEM0PUopjlgXQ6hKRqfPPk+vu+hR9NcDieod6sMpmOm\n0wFPn/4F1mTA9emAjUuv0OvVWAxpxIDnj75DWJKZDGr4xauIiQKHZ89RrCmWbeB7HrIapqPHKBYv\nY1kTVlZuI0lKMMGUkGUlmI4uo6oRHMug67kszKbcWbzGzJxQbR4wU6BrjnHduedtHgGfZDek4eAz\nGXcRmEfED2dTYuWXiOVX6ddfUHBd1FAY37WZdSu0zTGjkI5h9JlFU1y//lWy2TIPHnyHxcWVIHY8\nxGBgUy5fZjabsrv7McvLV/A8i9de+zrT6RDf96jXT9jzpgzvv82aZfJnpkFFFAnf/irLmTwFCSov\nHpFeWuH01KHdbrBizugcvuC2MWEpX8AXBZxBl/+j0+X7777LjWiEmTFhrVBgORZDXlzka6USyvY2\nH7VazByH7U8+QWq3iQsCjcGAQ8ti8fZtXNflwYcfItXrLCkKoWiUrqLwUBR55jiUfB8/Hsf7a+v1\najjM95pNOg8ecO3NN8/XcmMyQa3V+Nbv/A6XXnsNPRoll8tR3NigVCrRarWYTCbztfgnPB9EQcD3\nvGCz4G+eKP1tqFYqPH37bTLB73kiy1z7+tdZWV39mY95gTkuiNAFPne4mAb9y4Hv+2xv7xGNLpDN\n5j7ztTff/DoA43GM7e0Dbt/e/CfZITs7a5HNLv/Uh1w0GmU4tIjHVbLZJMfHrSCG18L350EIkUgE\nURRJJtPs7h4Tj8tcunTt/BjD4ZBez6RUWuXjj+/z7NkepukGkbgii4t5Mpklej2LVCrGyso84nYw\nGGGaPrKcZX//gHQ6TrP5IV/5yhcAePz4BaFQjmz2Evn8JslkDsdxkGWJwaDL8+dblMvLeN6MyWRE\nIjHvHtG0GKlUIYgFdphM6nS7NRYXr+D7Hr3eGaqqE49nsSyDyaSP5znIskKnU8U0DSRJxffnsrBQ\nSENRlMAo79Ns7jMctsjnLyFJKuFwHFWNYVkTwuEo3W4l8LeonJ3tIknzF8BUqkSjsY+mxQOfwzws\nYTzu0uudBVOcEpXKk8ADoaFpkYA8hoJCygi+7+L7HuFwgkbjEN+fMZ32iUTiQciARSgUxTSH54Wj\npjmPVP5U1pbLLRIOJ4LY6wGCIDGZdEkmS0Sjafb37+E4MwqFy4iiyNHRJyjKF9C0GK47Yzhsomkx\nkskC/X6D7e0f4jjzLqFS6Qay/GnAgHLuj5HlEJIkIwgy3e4piUQB2+7hOPOX506nSi63imW9heua\nxOM5dD2OpsWCjqMRtm0AEAIinstkOkFVdabTIQICIdtAkBT6/Tru9nvcCieIheMMxx2S4x6txg7R\n3ArF4mXG4zbLyzf4tOdG0yLU6zv0enVmsyndbg1BqFGv7wf3yiSQKeawrCmFwjq2PaW3sM6zmYk0\nMxmJEkNFQR112Nz8ShCnPU80m0dTK1SPH1Gr7zEYtAmFwly9+gaeNyeVqhoNgjb2CJ9ukfVc7ooi\npjGhOz3iIBShOrMpXPsKCwuXePXV3+Dk/h+yoUUQfA9V1bFsA6tf56rvsbzxRc66p6iVpxjTEQ/l\nEElFJSFJjCY9ap5Df/UOeUHA81xGow6CMO8BSiSK1Go7NBr7rK6+jKrH6GpRUqMON8NJBN/Dsic0\np0MKa68yOd2iNemBOcbSY2Q3v0zyyhs82L/PmiThz2aYmk4rvcjSyh1EUWA/s4pxcJ/2qE1mOia8\nsM5CepHsdETNnnKcuUUyWaBSeYoo+sRiKbrdGgcHHxMOx1BVmcGgyXQ6plp9wksvfRFRDDGbTVBV\nGU0TyRy94GuxPOHcIjEtjO25/N+Hj1FjMZaLKwyHLQbHz9gTJWwBJpZJplUnq2lBEt8RGd/nViJB\nWdXJrKxw/OwRX85mScZi/NnxMfpoxKjZ5MR1uX/vHovDIYVUip12m53hkHy7jdvv88Mf/IDI4SEb\nwFIohNHtMvY8KsMha6rKoijidDr8wDR5rVRCcl12Wi260SiXJImzbpeDw0POTk7wTk7YzOWY9fvE\nJhMkQL5xgyf37vF/npyQMU0ykQiRUonDVosrkQj5ZPJ83T5qtchfvYogCBiGged5/9XhDOPxmOdv\nvcWXEgmigdfIsCzef+stEr/1WyT/2u+7wH89LojQBS5wgX+26Pf7uK7yYyToryMajRIOp2k2Wywt\nLWIYBs1mm+nUCqYlEXK57D9Ig7hlWViW+3eaRs37ShwEQaTXa3B21qFYXEWWZWazCc1ml1QqTiwW\npdVqsrZ2mXa7Q7c7xPM8arU6qprkP//n3ycWW+L69V8imZz3BbXbdR4+vIfnVSiXLwX9Lhanpw0U\nJUI6XUJRFBKJDNNpm9nM5t13P0TTZBxHJ5td4OSkzYcffo/ZzDuPRk6nUywurnJ6eobjzBPFYrE8\nxeJlstkVRFFCFCUUxcOyokQiCTKZZfb37wUBCRGGw1ZQPlpEVedTqHA4cT5R6ffbjEbd4OVbxPdd\ner0Gtj0mmSxRqTzHcWwmkw6yrNBqteh0zpDlOWnK51dxXZfpdECzeUi/32Q47AAuvV49OK5PLJbm\n9HQb153R6VTIZlewLCPwW2SJxdLMZmbgQzMQBCmQ8xEEB5iBFGfeAzNPJZOZzaZBaauBbRsB8XKD\njiWC9LER7fYJmUyZUEhD16PIsorrugDEYmnG4z6l0jUmkwHhcIJksowgwHjc4+TkKZ3OCaenW7iu\nSCazRLO5Rzo9jzY3jP75NEgQJMbjDul0iWSyyHDYJByO4/sep6fPURSNfP5Tf8+UYvEKsixzcHAf\nTYucn7dpjnHVMG1ZQZhZhEI67U6Vrj1loiXYXLqG3TnhdjKPLkiMRm1EQWRzYZ1+Y5/Q4ia6HqdS\n2WI8biNJKobRYzRqk0qVqFa3aLWOz69BVTUmkx6e55FMlqjXXyCKConEAvF4PogKH+N5HkL7BHHc\n48qVNxAEGAxMVDWCLKtUdj4g2tjnhueRGTRo9ioY4cR58h5AKKQyGnUxzTFW84i13AqC7zOZ9Mgq\nKp3JKcqll4O4bBnHcXBnFrFYFnyfbueU4XiAMu5xPb9Gu/qU5emAuKSwHknxB8M2bzs2CUXHjOUY\nR9Pkl25QrWxhVp9hAiFF5yiSQMivIggSup44lzeayUUaB/fZCOlMfJ9Kv4W/dINpp0pq0sEUZSKS\njDqzOX76Xab5y3QkmW6/jjQZEI0kWb42J4iyLHP1zq/xPKSys3ePgRbmriRTUjSq/QZHkoxvGzz8\n+Nv0n71DzDH5eOcHLNz9BpcuXaXZrLK//z7Ly1d5442vEonohMMRdnYeoygTVlausfPO7/GyYzM+\neoqgxxhLIjNB4BXTwHvyPpXnH3F1aYVFVePR0TYbv/2/sPXxj7jereOkMwxcgygeVTVEeOaTl0Qu\nLRSxalWOej2y0ynjWo1dy2KxXGbDcfh/33mHX1lf5493dgibJl/e2CA2m/HtP/ojaprGv19fp1Kt\nsl+vE/I8njWbFCSJ8je/SWN7G/noiHXb5ns7O6xLEh9MJuTSaT64fx9lZ4fCYECu0+HItvn9gwMM\nyyJ59y7FYpGTSoVPtrYoHhxwp1zGFkWODw6IlUr879//Pl+/fJnlhQV6tk0jkeDm5cu89yd/glmp\nIAkCZDLc/MpXyOfz588H3/fpdrvYtk0qlfpMtULl6Iiy552TIABJFJF7Pd773vd4/StfIZv92bvj\n/qXjgghd4HOHC4/QvxzU621SqZ9Mgn74w3f40pfeBCCTyXF8/Izx2GA4tOYaeSUC+HQ6BpXKc5aX\n85RKxZ/r+bmue+5x+dsgywr9/oDZTCCTWeTFi23eeWcLWVaJx+MsLBRot1soioUsOzQaPWBODkDg\n4KDO0dEjVlZe4datLxIK/ZUvKpHIcPfu1zk42GZ7+wGpVBzfl4hE0kQiUWaz+TRHkmSGwzGbm9d4\n8aLHixdbpFLrfPDB+9TrXVZXXyGVWg4mM/No5MePHxCPa3Q6DcbjPoqikU4vEo9ngyJSDwDf91ha\n2sSyxgiCgmWNg4LJGbncCqY5YTodAPMJjSDIxOM5LMtgZ+cv2dp6H9+f9xUdHHwU+FaOSCTyaFo0\n8Fb0SSZzVCpPKZWukkjk6XZP2dz8Mv1+Ldixfo5h9IlEEiiKSiKRDyRiLWazKYNBC1GU8TwfSVKC\ne2UuS5v7Ywi8Fw6KouK6c/JqmtOAWGcRhPn1+v68SHQy6RCNZlAUlUbjgPG4iyCITCZd2u0Krmvj\neR6xWBpdj9Hv15lMBoHfTcSyxpTL18lmyzSbx9TrB5ydbSNJIRxnhmEMaLVOgmQ8BU2LoWlRjo4e\nIMshFhYuM5tZdLtVhsM2nucSCkVIJPJBnPhHCIJEKjX3LxjGEEEQicdzgfcpSipVDGR28+LN2cwk\nsnSD40EdUdVRpn0iqo60dIPmsM3ypEdz/2MuRVKEE1kymSUMY4jjzFgIhenbBpKkkErlSSaL+D6E\nwynAp9c7IxZLc3b2gpWV24BAs7nP4eEjRqM2d+78atDN9An9kyeIyQLh4hUWFi4HYQ9n5PNrLC5e\npdU6wjRHHB6eUV6+Sb55yEYsg+9DUtGo796jMmljWfMp13Q6pH78GLV5yKIk4UyH3KvtcDVVQtMi\nWJ6LoIVRXJd+v0EsliEWSxFdvErl8BExSURRQkghHad1yLESoqjGySWyIAi4M4sFSYREno/FeVdQ\nVAnR7Z4x+OhbXJ6OWJUkBr7AmarTaV5i8e43OdptcPrwLSxzhJRawi1c5n77mIKexFiIkohnmVae\n0XVtNidd4oJEbdQipsVpebtcM0YshBO4ikZeT3C68yFGNEMuv0q9vk+3W6VcWOfG8k0MQeD9bpW6\nOyOmahzs/iWZp9/juqKiejOm3VNqh4/YufYqX/03v8WlS2vk86u0WmdBPL5KIiHy2mtf5Qdv/TnG\n1gOk0ZBNUcKYjqg5DrKms2BbzCyTL2XjHHTrRFWVL2sSn3zyAa//D7/JR/VDitMpYaDqeazl0iiN\nOo4eJpdKo2eyuILHBNAKBdY3NzmcTnnlzh2KksTv7e6y0WpR0HWOtra48dJLeN0ugu/zPBYjYtuI\nvR790Yjj8RjH82j96Z8yS6e5b5qkGg12HIdUocCNV17h+ssv8+Ctt+jeu8dmLkdnPCbtutQmE34l\nnSbebjOwbd7v9VhstfjXqRSeqpKOxQgdHPD+8THZq1c56vd5OJnwhd/4DV6/do0f/MEfEK/VKIRC\nRGMxtMmEh9/+Nq//5m+iqipPHj7kh7/3eziNBloohK3rlF57jTe/8Q3y+TzWeEz6r23kNfp9Ht6/\nj9rroXY6PGs0UK9e5e5Xv/pTC2Idx6FarTLqdgnH4yyXyxc+Iy6I0AU+J3Bdl2azyc7OIffufYLr\nCpTLi5TLy//kRvkL/MPBNC1Sqb+5OfxTKIrC4WGVjY1NVDXO6WkjiJb2kWWRbDZLpdLF930WF0s/\nt/OTZfl8avC3QVVD7O1tkUoVabWGxGJ5NjZKmKaNbU85Pq6gKDOSyTj9fot0epFwOEY8nkIUJSaT\nx2haCU2LUqmcEI9HzicKs5lLNJplZeUardYZ9+//kJWVG4RCKq1WDcMw+XS5H4872LaB71sIQoSP\nP76PouRZX3+NwaCPIDQRBBHHmccqLy/fYW/vQ6rVYxRFIxbL0u/XzycQ86Z7MM0Jo1GfbLZIobBK\nrfYCw+ihqhEGgxbhcJxwOIkgzF8kDWOM51moahjTHGGaU6bTMf1+neGwg64nSaUWUNUo6fQSmjaX\nw81mBuFwAts2qNf3zycelmUiSTLl8k3G4zaWNWVx8WogHRPQtAgbG1/k8PAhsqyQzy/TbB6cl6AK\ngoDjmChKOPAWyYzHXVKpAolEDt93EQSRdHqRfH6NRGLhXA45HLYwjBGTSZd+v4bj2FjWlGg0zWDQ\n4PR0i3g8T6XylFgsjSgqQSxzBcPoEwpFkKQQ0+mQcDjBxsZrzGZTfB9cd0Zr532kQR2xvo816VM/\nfcHa2itBJ0ubjz/+E0Rhfj/mQtE5wYxmCIXm15LLlXn2zOL09Dmu62DUD5hVn6Gli3Q6FVx3Riaz\nTD6/gSQJHD/+LqGzF5RGLXatKUMgrkS4sfm6DGeJAAAgAElEQVSL7M9mGMaI4eO3CZ084YE1Qc+t\ncvPKG+SjKfr9Ol3HIhbJcHT06JzMua6NKIZwHJtIJE6rdYxljTk8fEAuV+b/Y++9Yi1LzzO9Z621\n114753ByqthV1V2dA5tstihRIiVqFIY2oBnbFw4DY2DDF77yvS8dgIHhGQzgkSzZGiWS1ogiu9nN\nZueu6q5cp+pUnZz22WfnsHL2xdpdzR4mCSI8TbNe4KCAU3ul///XPt/7f9/3vro+wPd9UqkCqtql\ne3iXyvEWUwjQuEv/7jsczp5l/txLGEYPRYmjqj3S6SJhGOC6NsO92zyRyJJI5gCwbJVUIsWCpNDt\n7VEo1NHGPcpH6xSMAd6oQzmEZODzg+YGU5kyUiIN5VlM10QfRhnF7e1ruEjcJmDZ1Ii5Ni4h645N\nScmR8Gw0fUgikWZs2+imSmLjMqYx4rCyyPkv/Zc4+7f5vGPw+cAjGwaEYow12+C9cZPbl79FYec6\np0uzFLJlur19GuUl1KWnKBkj3MERO417jI0+89Vl2vqQ28aIipIhNDQkrcf5U88xHLZodfaQYnGy\nyRx3Lv0l7RNPYdsWmUyVdhgyPX2Go94B07bGIj7ZRILD1hbFEE5KIlOE6PhsBgG31y6RXD5BL1dh\ndnaFeDxGLlegVMqTSASo6ojLb/w1yaMDyoaOryjkXIey5/HXpk4sCCgnUwiFDBl8ls6vkDRt1HyG\n06dPE/uv/zuu/9s/Yt40Sfg+vu/TTGWYn51FlCQy+QKdVJyN9XUOgoDj+/epV6soe3u8cfcupcND\n/tnKCmVFoW2avP/uu/TKZZLAW4eH/Ce5HEuKwpuqSkbTSPg+quuy1GyykMlwlM9TkGWefOklvvLF\nL/Kv/uiPiG1t0RuNWNc0jg2Dk6LIWBC47zg0+33mFhc5ODzkxVoNURQJBYHOcMiKJNFxXfqyzO8/\n+yyNdpuPrl1jpKrsv/EGz6dSZCWJvu/TT6eRi0X+5b/4F7Tv3UPc3OSUKDIvSSi6jhoEbL3/Pn/y\n9ts88eUvUzl9mhvNJgNNo9duc/Wjj/hcIoGcyXD2zBnq9TpX791ja2bmJxrN6rrOB9/+NsV+n7Is\nM/Q83sxkePZrX/ulL617SIQe4jOP8XjMW299gKYFVKsLfP7zX8fzHG7ePOTq1TWeeeY8J048dIf+\n/wNs28Z1XQRBIJVKTcwwgx/72Y+zQQCj0QhNsxkODfL5LEtL5x+UwpmmQa/XwvN8dnePqFYrP7dd\nsHg8TiajMBoNyWaj4OsnSXpb1piDgy10PUGhMINlhYBELJbG9wWKxSSOo/H2269y4cI5lpbOoyif\nlEfous9jj/0Kw2GHmzc/ZHn5FNVqtMM/HPZptVrIcpLxWOXatQ/o90Pa7SaCIKMoCU6ePM+ZM0/S\n6Ryws3NMs3mH2dk5Dg9bXLz4OLFYmqmpEplMGUXJAJGIQb9/SKk0x927b1EoLFIoVInHM5MyMw9Z\njuO67iSgdpiZ+VV6vQMcJzJFtSyNanUJ01RR1b3JWGgTMYUq29s3kSQFz7M4ffp5dnZu0Wyuk0ik\nmJ+/QGYS0EuSxGjU4uzZF0km89y79y7DYZuZmdMIQtRwbtsG09MnSacLrK6+ThD4hGEkN2zbFrat\nE48nJqajOkHgo2kdxuPZSVlYnngcwlCcNKIXyWRKaNoACBHFGOXyPMlkBseJvIlEUZr0FyUYDBoM\nBkeMx12azfsUizNUKnPUaisMh8cYhoqiZFCU2AOBh8hHysSy1Em/V1RyJ4pJXNfh4Pp3eBIYpgoU\ncmUKxgh1+wqX5Xik+uXoPJvMY/b2UEcdpFyFwuCIXghCrkI+X0XTesTjSQ4P7lIdHXNWipERQDTH\neHs3yM39E2zb4M6lP6e/9RF12+TM0kXmTjzD2dpJ/vx4g/ulWeqnPofYP2J+60NWjnweLS9gHG9y\nf+8m7x/cYXrlSTRBZDz3KN7g6IEBq22bhGEkhOD7UflXOp0jDGEwaBAELoIQQ1HiKEoeRUnjbl3m\nGUHk7PiYlJKlL7nc3LuBc+JZKpVF4vEkmtYFIJ0uMD9/AW3/JilJAgI0dYBt6YhiDBHI56fpdvcx\nG2vMb1yipvUo+C59x6DnB3hKki29j5MqMrRN3JJBIqtSqJ9CUVLR9apLfP/+B3jN+xyaKkZxhtMx\nmcrwCEXrIskJbmgDMrZBTJA4JUC5v8/md/4Xskqa855LTRARZYWYJHHesVlr7xB29vmiIHK+OE0Y\n+iBJvLJzmea5L2GWZ+kMjhkCqVBgtHWFkmvxRBiiI9CIJxDSRfarS1itTYzOLl1JopJMI9rGxJ/K\nxrLGLD/7+1y+9T3mjzd4NJFFy7nESlOc27pOwfc4HU/ieBbL6RSPSwl2LR0ldDjnWtx5599RPnWK\nen2Fxt4d9q++g7q6SuzqZX5XEHB8j5Tm4Po+TUIGwI4o8t9KISoes5UKYSzGHWuA7ToMBn1e/NJv\nUJ9bZPWdN7h94wr2oE8xV+Bbm+t84/YNioU8i+ce4SPb5terVX7zwgXK2Sy7wyGVfp+0IGC5Lo4k\nkRZFUpbFiqpypOucCkMu7ezwjudhaxqFMMQVRb7s+9QkCQG4quskZ2epex5/+rd/S3x7m+d9n3VJ\nogIcCwLPex7XgOuuy68JAiNNQw5DdmWZTKnEqWSSRqPBSiKBrmmQSnGwtYWxu4s7HPL9V17hhV6P\ns889RyKRoGQYfOvSJb51/z7Lrst8LMZQENAUhROFAhlRxJIknqlW+fb+PsbNm3zvtdcouS77d+4g\niCJTwIzvc0dVYXsbz3GYUhRuXb2K5zgYgwG5ep3F5eUHG8XX3n2XxNoaiutiyjIz8/NkTZPvfeMb\nPP/lL1Ov/93UV1VVZX97G8cwKE5PMz8//1OzUL8IeEiEHuIzDdM0eeWVtyiVVjh//uynXrjFxZN0\nuy0++OAyoiiyvLz0H+o2H2KCj+VMRyMV3w9QFJlKpfypeucfh+FwSKPRQtcdZFmZBLAurmsxGPRJ\nJmd/6vHr65u4bsjs7ClSqfSn/i+ZTDE3t0y73aTZXH/QS/TzgO/7xGLw/vvvUKnMACKKIlOvV6lU\nKg/W63A4oNVq4LoxdN1ldrZKuTxNLPaJy7muj1hd/QDHEYnHiz/iRh4EMBy2EIQYKyvPoOt9RDEi\ni7mcxHg85tKlV4jHsywtPUMiUebRRx+jWJxC00YcHNym13udlZVznD37PEEQ8uabf0U6vUI2W5t4\n3Ryzt7eKIIgoSoZqdYFqdRnD0PC8EMMYEovFJxLE84iiPCkTg1yuzPXr38GytEmPUWTiORgcPRAg\nkOUEYRgSizkEQcjW1oeY5ohEIsXh4Sr9/tHE40Zjbu48xeLMRP0tEpaIVNnmEQSYn3+UXu+QVKrE\n/Px5bFtnd/cmjmMiiiK6PmI0aiGKMWzbRFU7HB/vEIsp6PqQ4+NNXNchk6lO/IMqaFqPw8M1ksks\nQRAgigLZbJm9vRvEYgqzs6fpdPYQBJFkMoNpqggCE6WyDqIoUa+foNG4h2XNYxhDFhe/hu/7jMdd\nNK1LGC6TTKbp9Q7xPAdBEOl09hBFkdOn50km84RhRP4N44gpR4cwjMhjMo8iK4TjNrqlkzZVXihN\no0gyGUlmcfEi19UObmWBgjlGDjwcx0SWk4CA395mJgyQ4glc2yaOyNPlRa6uvU0xnmBe7VNo71KW\nYuyvvY199gssF6epizJePMns3Dk2Ni+TdwymXZOj9g7HtsajCCz6DlvbVzFKs3RSeaR8mVyuxtTU\nMvX6MoIgYZojLEt/QFAFIWRx8Umq1Tlu3nyVXq/J/HwBxxxzKgwoex6+55FIxymGIUp7m/XX/yXJ\n2bMolUUKhSksS0PXh1H/Tn6a3XvvMpfO4/suvh/g+h57jsmikmJm5jTvfPhNXu7s8lQ8gYLAFdfh\nGc/F8mwCRMbOIfFBg4VinalsnUtbH9FKpClVlmlc/gYnG/eZD1wOtCFXA59b0yc5Unu8KAjkUjlE\nU8NzLfYFgZocJ9B9CraNHrgEiTTDICBpqYiCiCaI+JZKKZ4mo6TodvdBilEtz/FUqsTfDI8RpTl8\nc0ghmaE/aPClIORJQaBKiCgIXLZ1emKMYPX7POW6+FoXx7O41d1jo7ZMKyZQLi+QSpXw8Lk37pLW\nh6yqHSwEpHGPpKUjBgH/u6mzSIBiaszncqRDAds1ySXiOIdryOeW0UaH+HeucaHbw5NjNDIZpsYj\nZOC65/Ih4AFVwIjF+Ctd55FGg36vR3wwYKpSQb1/h703vkdgmjz69HOcPnuOG5ff5/v/8/9I+c5t\nHgsCGoHPR+MhyVqVC7UazwYBw40NtIUFvr22RtYwiMfjvKNpPAV4QYBumgStFno8zorvozoOHVEk\nI4qcTyTYsSxcQUD3fca2TUMUOZ9K8eH2Npvr65w1DF6xbbJBwOOiiBSGmEAFWAFuA4+4LsUw5G67\nzeFoxOF4jGjbbMVivBWL8dVCgcHduzw1O8uGqpLUNMaaxqtXr3Lh7FmONjcZ7O7yW5bFSi5H1vdp\naRqe67Lr+yzKMmPb5rDRYD8IuLSxwdOKgjQ1xdO1GuPxmHf29hiVy7R6PQ5v3eLk9DTl6Wl2FYVl\nTWNGUeitrfH2tWs8/9u/jSAIfPSNb/B7kkQ1k8EzTT58/XVarosUj9PQNO6mUpz91V9laeUnbyof\nHhxw97vfZRHIyzLHN26wOzPD57761V/oEruHROghPtO4du0m6fQMp06df/C7S5fe5PnnXwagUqlz\n9uxzXLr0AYuLC58Zg81fRoxGI7a29gGFbLaIJEmMxxaNxjqFQooTJ5Z+JLgHaDSOaDQG1OtzzMx8\nIhdt2zaHh3vcunWVSiXyTIgCyjGdzoBLl97lySefI5mMc+fObS5efO5HSNAPo1abpts9otFo/VyI\nkG3brK1tIEkZTp8+j20LVCpThGFIr9em1Vrj1KkTaJrKeHyMaZrIcomzZ5/AdW0OD7ce+O4IgkAs\nBrlcgYWFCxwdHU3MPj+5niBEogjLy09PfFn6xOMJFCVJMpnio4/eZXr6PIYxxjR1SqVF6vUVfN8n\nl5M4f/6LbG5+hKaN6PczrKyc4/vfF0mnBXzfe9Cjk0hkEUURy9LZ3LwK+GQy5YkEtUWvd8Ti4mNk\nMqXJfApASCaTp1JZYHPzMqlUEc8zSSYLNBobWJZOrbZIpbJMGPr4vkens4OqdkkkUiQSGTqdfS5d\n+gu63SNEEcrleXzfpd8/miiZmZimSru9Q7W6SK22SBgGbG5e5syZ5/E8h2JxarIWW0hS1OQuij7x\neIJCYQpFUQgCD9NUKZVmqFaja0SN+OqkH6TM3t4qYegjSfLEGDYSPcjlaqRSecbjFoeHd/EcgxCR\nTLZILldndvYRNK2P7/sIAtRqJ+j3D3EcB9McMRy26XYPgIB4PIlhqEhS5G0zHB5zfLzD1NQJBEHk\n416a1LhL19YxR8e4xgjb0kgXaqiOQdVSiYtzhI5JXpIh9FmIJbhrqhRTBaYcg2EswVgUEQSBs9Mn\nKasdjppbEz+iE4i+i9DawfJdZocNzqpdFpNZelKcb998leTF30AUBeQwxHEMrHGP+cExRSnGVVtn\nyra4EbgMRQnH0sjaDg3XwZ07z8mTT0+U3AqTHqwCQeBzcHCHrdUfMG5us79/A8dRyWTKVKtL9HoN\njg/u8Vy/Qcn3QO/xXmONTCrPC/EkBWNI0hxz884baPUVkskcjYO7XHnz/6SaryAh8GS+TlGS6A1b\n3DFGjDIVCqNjZmcfwe43kQOftmPQ9X0836MpSsQDnwCfChKnMwX64x7Nznc5NTpme/c61xyLiqXz\nX8yexnNMeo7NWdvg3+5c45FMGU+W8IUY97wmhcDheaAUeBiixD3P4ornse57nBFC0kggQNf32AkD\nkvEkY31E0xoj+h5bx5sMk1ncwREXkhkuVJc47uxguA77BPw+kaLfEMgjEDPHLFkai5JI1nfRTZWu\nbbK98ii/+dv/Fbu79wgCGUPvUw9tzubKzOXL7BxvITXuM5ZkBp7OrwHLQBgEvDscci+d5evLsxjd\nFnMzZZ599kluv/5dKn7AfDzO9cGQxWKVreGQI8fmLnCRKLC8Csw7Do9kMjQ9D2wbbzAgDpwslmhf\neZ/mwQ7JQpF6fYrLf/bHnNq4x1OKQsx1WRqrFMKQdz/8kO1qlWQ2S2Ew4GBzk1gYYochT4kit3Wd\nN1SVLNDudLglCPyzcpmc6+J7Hpbn0VYUaoqC6XmYvk/LdfE0DSce59bxMav9Pr/qeZwPQ97zfYpB\nwIHvkwlDbgNlInPUjTCkDaQBw/NY930Cx8GTZdqSRLle5/YbbxArFvnXu7u0LYuiqqL2erT299lq\nNtF0HaffR3Jdjn0fIwhouC4ngFVNIy1JuJIEYYjo+5QMg8cqFV5dXeUoDBHjcVRN426rxcuSxONB\nwNbmJm/dv4+SyfBBIsG5xx5jaXGRtK5z+9Il0qUSBU1jaWUFQRAYmCYMBjwThgxnZzlXrSLH47z7\n2muU/uAPor9tV6+idrtMnzjByfPnSSaTrL7+Op8vFB6INswBdxoNVm/coFitYozH5EolZmZmfqGy\nRA+J0EN8ZuE4DltbRzz77Fd+6ueq1TpbW1n29/dZeqip/x8Eo9GIe/f2mJ098cCf5mNMTU1zfHzE\n3bvrnD9/5lNfkIPBgEZjwPLymR8hSYqicOLEaTRN57333ub5519kb+8QSUqRy01Rq80xN3eSe/dW\nOT5uceECk118EdM0cBx7UmqUflAmVyzW6Hbv/4OfNwgC1tY2SKc/kfXu9fp0OoeEYWyiyKXyxhvf\n5emnH+XChdN85zuvUio9RiwWZzgc47oukqRMelMcRFFA13Xm5s5x585rOI79qV02SfJJJAq4rkk8\nriCKMoYxnmRe+hiGzvT0WQRBotXanhiddojHE6TTOTzPI5+fodncYHHxDOm0gqJkMU2Tra1r1Oun\nqNWWyeXKiGIM33cZDI45Olqn09kjHk8xHLYi40Yl6tsyTfVT/hjnzr3M5cvfZGfnKqZpIAgC5869\nRC5XwXUtDg5uAxCPJ6lWl5ifP0+rtc3m5kckEhmWlx9na+sa5fIsOzvXkOU48XiScnmBdDpPux2Z\nbI7HHYbDJul0gcHgCNPUUNX2xMi1AAhYlkapNDMpLww5OLjPYNDBNDXK5TlyuSqHh/exbY3j4w0S\niRxh6CPLkZz2xsb71GonqFYXUdU+YeijaSPS6QKj1jbm6hsk1R5hTKFXWyLz4h+g65EqmiwnsG0T\n17Uol+fZvv8+6tZV7OY6RqGGlkhPDGGFSc9TCVmWabW26XS2yWaryLKCqnZpdA943lIp2xqq2iPm\nWnRECQ0BxxgSV1KM9D4H/QY9W0czRmwhcHr5Kdq+g0hIJlMmCFx8SWRm7gxh6LO6+hb5fJ2j5gbH\nnT2eDD0eU7JshgGhPiQlSZwWZO5sfoicKtL1bMJQoNW4Q9Y2ue67HPs294EiUA08DNvjoLOBo/eo\n/t7/MJGqTiNJMmEYIssK2/c/YP+Nf0N6/wZneoe0X/nfCF/8pzz50j+l19un09khsXmFsj5ijxDD\nHNMKA1Z6De6lsui2geC5zCezNG69hhVPMn7rD8mbGnPxBM0g4K+VFKfnHmFkqBwLIpbaQ9MGrK29\nha92uORanA88bGAPWAx9XMC1dC7EU/SNEa3tj/iSJLMYT3HdtdkbtXEI+Kv2Lp9L5QkJWYkpnHQM\n0kqKM5kqjXiSxuEdfhN4DkiEPprv4/twCbjlGBTDkLkwQEfkZkwiEBV2DI2lwOWlZIa0INIOA741\nOGKpNMd8dTHKHjoGjxBwBPSALJAHkoTkAhdfkHjfD1AIEdyQGVnA3r9Ds7mGZQ2xrBDzYJWzxTpq\n/wjHc0AbkPU8Nm2DADCBm0TyLE8BVxyLeBzyizV2bJHm4T6bl9+npo1RDBNJTlBPCfxftkUCeBk4\nC6jAPPCDMEQSRYRiEcW2+Vo+zyCdpijHWBl2eW9nm78cDLn4u18n2FhjxnMpiTEyQogD5MOQa6pK\nx7KwMxluSBKaYfDfP/kk10SRYDjkC6LINy2LDcNgLgg4Jct0ul068Th+EJDyffZclzc9D8l1WQoC\nTgHHYUghleLdXo+EZVGvVFBMk9O+TzoMOXBd3DBE+/jvEVGWKwHYwKPAdhgS8310QeB0KsXjQcA7\njQZXul26us5cIkEdeFFRGHkeb7VaNA0jKmUDqr6PAxSDgJuABqiex9pkDkaAFAT8abvNM7LMS6KI\n5bq87jjYts1pUaQIzIkih55HWtOw33uPw8ND7mezJIpF9hSF7MmTFEsl9oZDlopFDodDpoKA9YMD\ndlstjCBg5sQJavk8b7/xBntvvEGh3ycuCFwTRVYfeYSnfvu3Kdk2mX9Pna6YTPJv/+iP+NJjj5GX\nJJqex0a9zgtf/SrJH1K5+yzjIRF6iM8sut0uiUSeZPLTzfIfZ4N+GLXaHIeHzYdE6MdA0zRc10UU\nRTKZzM99pyYMQzY2fjwJAhAEgenpWQ4OXI6PW58SK2g0WtTrcz82U/QxLl58grfffo1XX/0bFhYe\nZWoqkgI+deo829trFApxLlx4BkFIcPv2dRKJFI4TTAwqAyxrj1wuw8zMLKIo8Q/wtHuAfr8PJD8l\n610ulyiXS+i6jus6VKsLlEpxyuUCiUQC27ZJJALa7Q612iLpdG4i6BDBtnXW1q6i62N8P5z46XyC\ndDqF73sUCmWGwz6dTgNJEkgmh6yvXyWTKZFIpDAMjVgsRS5XpVKZJwg8dH2IaWqUStPs7l7D8ywE\nIU0mU6LZ3Of8+Zc5efIZ4vFP3rVYTGFqaoVUqsCtWz1UtUc8HgN87t9/H1GUYNwhNIcIiQJSaZpY\nLE4ymWZ19R6Nxn1OnXqGVKpIpbIERP1TH/vcgIDvO5imRhiCJMlMTZ2eZLEC2u0tTp9+ceKxIyCK\nsYlqWpog8Fhfv4QgCCwsPDrxJ0qiKJHMcxj69PtN1tbeRFFSeJ5Hr3dIv79PPB7HcXRUtUM+X8H3\nCyQSGSQphizHJ1LdQ0qlBSxrTLe7i+87GIaGZY3Y2bqK9/af8CvpArV8Dcf3uHd4l3e//b9y4Sv/\nDeNxB9vWqdWW8DyXj773r1jW+rwgx+kks2TNAfeP7tKNZ1BVFUGIoWk9FhbOIUkyrmtNyFQSSZLR\nAw8rDIi7LplEjrY+QAtCTp55nq2DVaqXvklu2MQYtekS0o/FSRdmGOzf4rrvsTzuIooS8XgCM5vj\nbmONk7Up5FiUifLSBRo7VzntGHw/CCl7FqbnIggiW4BfnmE/nmAQBhwdreGqfZqOwecIOCYqGXqW\nKJiIAQ3g/zAGHB9vk81WiMcThCEEgY+uj7j97f+JJ482OB94WIHHyFT54PJfcrtQw/d9Rr1DvuCZ\nXA18Xgg9KpPzjoGRMSThmBjtLYJ0iaY2pHu8zhNqjxNBSNrSSPsupiCSCwLOlOdQTJXrhkavd4R2\ncJcpQ6McRO+WBbhEuocngIJrIboO64JEIMUoZwqsm2NuezahZfI7cpz3BkdsGiNEz2EKgURMpifF\nWB8dIyNGGZXJT4GIsFwEvgUcBh6vEAXTAT4ZL6Qkx9gJQxZ8D93SMASRICZTlmJUbI3+4JDR6BjL\nVBkAErAKvAAcAG2gCdRDn8XJWLmBz76tM+o2OXPmLDs7a3Q6I+qFMtMIXG3cZ+vgLjm1iyzG2CCk\nAiwSZT5GRMQt4/tcOzxg/tw5LHPI+LW/ZVYQqPo+h41DsoUSq+1jYq7LLNCfjKk4ecbzwNZohKko\nLGYyXJif59WNDZ7L5cjNzFBKJvn2uMP7f/HHyEf7GLpGsVTCdzziwK7nkfV9XpBlfl8U+b6uY/o+\n28fHPDo7y/9j25idDiXXpRoE2KLI44LA44KALwg4qRR/OB6zJwickCR2bRttMm4pUSQJbLkuX1UU\n1EyGVhBQt232PA9x8rnyZI0cA79CRIjuA5eBL0oSCUmi6fukBwNuj0bU4nHarsuv+D6ibZNNJOgB\nThCQU1U6nkeeKKOXD0MOJ9+3JrA++TcBZIjItOB5rHoeY99nIAh0wxDBdfkS0A0CVGArCDgPlH0f\nxmOyd+8SZjL0pqawSiXsvT0ESeLPBYFzlQq2qnLn2jVSjsNStcrRRx/R3d8nsbTEW++8w8tAzDTJ\nhiEJ12Xt6IgPUiku/lAPkWnbbOzv89obbyA5DplHH2WpVmNFFFlvNrlz5QpPf+EL/CLgIRF6iM8s\n/j7SxJIUw/d/fFP9Lys6nQ6Hhy2CQEKWE5OG8V1qtQJzczM/N1+d4XCIJCV/LAn6YVSrUzQa68zM\nTCMIApZlYRgus7P5n3ocMOmnSTA1lUNVm4RhSDKZ4OzZFeLxOMfHQ3wf9vaOuXjxKebmph4cGwQB\ng0GX9fV1wtCiVvuHK+Q0m5EXyo9DNA7RWIiiSLN5SLVaJZlU6HZbnDr1PJlM8UeOU5Q08/OnuHfv\nNratT8qjPkEqlcGyXHZ3N6jXFyiXqywtnUKWZQ4PNwnDFM3mLlb/EHH/JqZnsR5PUjjzPDNzZ0ml\nTIbDBoqSYjQaIsuRFHMymWV5+XF838GyPnnnwjDE9x0UJcHS0pO8//5fUC7P0mxuks/VyLW2OK2k\nyCfz6P1DVndvcDyRED537nOsr7876bVxCQKPbLZMLPbJH1Lfd3EcHc+LTD37/X3S6QK12gr37r3L\nF7/4nxGGIQcHN0mnI2lqXe9zfLxJsTjF2bOf5513/oSTJ58HBNLpPJIUlZT1ekcoSgrfDyZqZSLJ\nZA7f94jH02jacOJlFI17KhX1BEVlhWN0fYCuj3AcA0VJ43kulqXSbu+h713nP07mWSnNIogRkX02\nkWOnucbNm68wGLTwfZd4PMl41OKspTGbKbO59SG+YzKlpDCsMdLFL9LrNfE8l+PjTXzf4qmnfgfH\nMRh2rzNyj8gVZrhYP8Fx94Btz8V3TEXlW0QAACAASURBVI4QuTj3COv7d2lrPfaPN6n4DgFRkLzt\nmtTNEbacIlaaZTg4xLJNXNcnV62xPtih09umLYYM+g1mTz5HcfY8W7df4wthQByQCNGDEEeOs53K\n42TKxAdN7t9/H2NwxFcIsIFd4BSgExVIxogCxTlCNjcvUa3OsbP+Af377xE6JkYiQ2X7Gs8oaZqm\niubYzMRtnhge8zeX/pLSuZdxjBGWqeOFHm8T9Zt0iXbgHwVmPJsesOo02Xcspo0BLyEwPRFWmSUg\nFwbcVdv8zsmnyYyaNHqHHBzc5YxnUfAsZokC2zuT+18mCuDHQI2AfBiw7rncHzukA58lRGoCXHEN\ndDHGxcDnmmujBgFrYpaya/F0EGAHAU8ATxP1k4hAEpABBzgN/COgPhmrGwS84lokEKnHYtQCn5gI\nI98jJYi4Wh9D75FMKlEfIVFQfm0yJnlgDbgFPDJ5ltJkXi4BXUtDEMYsLy8wHK6xd7xDYm+VFX3E\nLWNEzzKZlmIcEmVzZibjkCYib1eCgP1kkhdefJHae++xlExxy3fY3d8jniuy1dgjFQbcDnxmiUhU\nZfLTBvaBgecRTyQIOh0+siwsUUT+eDMuDAk8jxfFkA9iMRpBwFjTiAOiJPGu67IsCGRlmYKiIA+H\nzMdi7BoGJxcWWGq1mDcMRMchFQSous5mGFIJAgTPo6soSJJELpWiKwj4pkkjDLFFkaQk0fN9PFHk\nI8NgqdfDCwIOAUMUeUsQUCWJad8nS0ROepPx9YnI0OO+j+f7VIAUkAhD1En/UTwICDyPuO/TE0WM\nMETyPOqTdXww+R4MJ/PoEWXhtolMExKTNeNN5vY112UgiqhBgEZEhrNEGxEhEYG6GgTULYuZRILA\nMNi4d49RJsM/OnWKu3t7zM3M8M7qKh+0Wvy6afLVXI5T1SqCJPHu8TGvD4foikIhn+fZTAZFkuhY\nFmqzyavf+hbZ3/s9zlkWkijy3uXLVIZDHhkOWVhc5N4bb3CpVOKFJ55gvlzmB/fu4X/uc78QJXIP\nidBDfGaRyWR+pPQGPt0j9DF0XaVe/9kyy78s2N3dp9s1mJpa/hRB8TyPTqfN7dv3uHDhzM+lwXEw\nGJHN/mhg/+8jkUggCDKGYZBOp3FdF1n+u0mf67pFqVRlZuaT3p53332TxcVFADKZBDs7Bywtncey\nrE8dK4oi5XIN27ZYW3uHixdf+ns83Y+HYVhMT/904gcRKTo6iu4nkYjT61mIojQxOowThY8RouA5\nge/rmKb2Iwo+QRAyPT3D0VGLW7fepFCICKTrurTbB/h+DMV3ODXukkgXmc+VQJC5eev7HEsKM7PL\nhGEN01RxHAvfd+j1DigWl7AsjUQiQxAED/xWQESWZYLAB0IKhWksa8TS0nm69y6xGHikJRnfs5AD\njxUhpD9uMXPx19jZuY4kxUkkMmSzFQxjhO97pNO5ibGlHxlHWirpdHFihpkmlcpTLE7heTamOWJ5\n+YkHGS3LUrFtk5mZMxMTzTa9o/uoeze5cPJ5lPoysYlE9ceGp6lUDNu2cBwD1zXwPBdB8AmCqP+n\nUJhmNGpiGGPi8STxuEI8XkUQBIbDY0xTRVEi4gQCo1GTlGOQkxOMjTFDWycmxijGU9QQ2HItdL2L\n7zukUlnM/iGz2Qqho+HYGuVyBVEKOFGqcbu7S1b0qI/bzA8O6XZ2+LMb36N0dJ9pW0MMQu7EFDar\nc/zWY79BojJPr7ePofbQx10MJYXUXGcQeHSIgqeQKBiVgZ5rILW2UDv7SJkyhjHkhRe+QOGrv8sP\nfvDnqM0N2m2VqWQWS+1wKgw453ukBVCRaEgxYkEYdYCFPvF4MjKZdXTawDRRBoHJKj5BFNAdE+12\n+xsfcqe9TWn3Gl/2A9JhyE1CPvIcfiCILAkiSuBxd9TGlRXczh6JRBZiSd7VB6wQlVnlgPeJgusR\nUdmVAkwRYOg9FoGzosQt3+UxomDeB951LFzXIRkKzLoWQwHOj1ucn5C4E3zi0uUBs0S78PtEAWgf\nWAx8GsBFArxwku0IPC4GAUlCXsVHiydYSWY56DfxLBUD6EzO15rMxz0isvg8UV9FbDJHC0CagICA\neBhDlWMIokhaiDHrWbzr2/xHs9MUchn29q6jEmWvvkx0L/3JM5Qmz3OJiChlgSeAd4F6PYXvCyST\nNo3dm3j796m4FhXfxyOk4Tp4k/MsALXJOL83GcfujRu8lkjwj5eWqFYrvFwq8h3TQBvrHHgmKcdh\nWCxjDHrMANcnc5AENoB9KcY/n56mKwjo3S7ZTIY7jQYLxSKrmsZKvc4TCwvsOw63LQtLVcnaNseC\nwHoQcD6RoK4o2KJIrVTCtG182+btW7eYGgyI2TbIMguxGPuGwTAIuC1JVGMx9CCglM+zUixSEEU6\npsnpIOAM8IHnUbVt7MlYHvR6jOJxzrouu6KIkUzyK9PTdJpNftM0CQWB73oemcn6TgDfA/75ZP0f\nAOUwpCOKPKYobGgasmUxsizioojs+6iT45LA0mSsDKLMWW2yRqpEGdbhZE53gStEZP3XgQFwSES0\nnwYeI8okHU3WcjUImLIsti0L1fcRHIc/v3KFL6TTZPb2+Iooouk6tVgMC1g/OCCdSqH4PgPHQUok\nOFurMbAsbnS7jIdDFl2X5UaD3s4O/3e7zZwokm21EGMxbEXBGg65GIZc7XZpOA7b5TLW/DxhGPKL\ngIdE6CE+sygWi2QyEu32MfX6TzbCDAKfbnefF198+f+7m/sMo9fr0e0aLC+f/hHxiFgsxvT0DJ1O\njPX1bS5c+PGeA38f+H5ALPbJro+qqqiqNmkwj1Eo5B8QLlGUHshhi6L4QB3rp8HzPBzH/6nKc4oi\nU62WCcOARuMQCHFdD0EQiMfjxGIykhRQLBaR5U++9lzXpdPpMhiM8TyPVCpJvV4hl8v91HsSReHv\n9CX/wyQ+n8/TapkMBgdUKou4rv0g6/OxglYY2jjOAFkWODrap1iM6rGDIMBxTEajIfPz08RiBqbZ\n58qVv0UUBSyri+8nqNk2s+kCauDT6eyTy5aYFwTWtj+iWlvE80I0rc/MzBxB4NHvt6jXH8N1bbrd\nfbLZCqlUAUmS8DwHTeujqn1EMcq4jEZ9FEWhnkiymKvhOEaUZUkmyefLdPQBLiGi6CCKMVzXxvNs\nisVZDGPI4eHRxExVJJMpkc9HSnWeZyPLkQKd69rU6yfodLaRZYVcrkomUyQeTwACYRig6yNuvf0n\nXND6mL7PGX3A0bU1VgUonHqOWEzC9x2ef/7zxGKRj9Dm5j3eeuubmKZLpbIwMfkMkaQEohh9XpLi\nxGIKxWKcg4M7qGoH17WJ/KhkarWTDPQh729dJaZ2yLo2x4GPHk/QTZeInX6BYnGGXu+I0aiNnMpz\n1N6h39lFNVXiXpaYMcYxxnhyjMd9iy3P5ZFUgZY+JrnxJl8JQ16UJEDghmvwZ0ebbJQXOFFbRtNV\nUskc6/0Gx6kC8cAjRRRENYHfIQqkTCLC8FcEbG98yJmnfgvf95ibW2Zn5y7lcpGLF5/g1Vffotm8\njzfucM73MAmRg4AMPllfYCjLjI638aZO4nkO+XyVIVGg3SEKyqeIAv63iDIey0TEIuaYKBuX+brv\nECCCKPJS4BECQejzO0BIiIrAH7oWA99j2jEQ5DgBPqeJAmqBKEC3iEjEs5NrXyPKXASAFvh8vP3R\nJyKEDhGBc2wDG6iHHpWYTBM4B7xIRCBeIyphGxEFRGminX+DKNsSn1y7M7n+PSTe9lx6iISizFI6\nhdTeYS6EpCTT9h3WifpIBpNzbxP1UU1PfkaT+8xP5u4q8L5vcSIUkQWRkJBdYEsMeWX9A6qZAque\njg/855Nx9ogyWOLk/LeBM5PrHU7mPwnk8yKW5bG0lON7zU1O2wZnwijL0ScK4D3g5ORc+uSnPnne\nxw0D6fJl3tzbo/y1r5FWFE7MzDH37AqjZIq1jftMJxvcHETHXCAKyq8AHwK5j5v7gwAyGT6fyWCa\nJjdrNY6yWb6+vMyBbfOlL32JK7kcax98QHI4pBQETCeTqLLMyWIRMwgQbZuGrnPTdan3esiCQEsU\nSckyL1erjFWVputyHIsxkCRqy8ssxGJsWRbKYMBvyDIJ02TD81DDkCzw+GS9dMOQjm3z7yZzMnZd\naskkN4OAsSDQCEN+c7Le1Mla2QTeIcrENgE5DLnguvRclzXXJQRSQcB0EOBM1oQIvA38p8CTRETH\nmLxD/cn7k5i8Y3t8UionAXIQ4BNtCpyczFGSKBtVICLBG2HI2TBkIQx5BzjheSx6Ho7rcizLxDIZ\n6vE4K+k0gzDEsSxkQaCey5FWVdYdh8u3b5OJxegPh1wMAvQw5LFymVq3yx3fZ396mmdWVqjOzLDV\nakUEOpuNNhaSSdRej4Nq9aeWvH+W8Itxlw/xS4tHHz3D5cu3KBSKDzxVfjgbFIYha2u3mJnJ/8zg\n9ZcFjUabWm3upyroVas1Njba6Lr+M0vafhYURcYwbDRN4/CwCcgkkzkkSUTTHNrtPbLZBHNzM7iu\n/aAkL5VK4fs2tm3/TP8CTRuQz5/61O8+9hEKgoAwlCgUkmxv79Dvt0kkciSTGSBgMGgThgbptMzJ\nkycYjXSmp+HoqMmdO5vYtoAkJRFFEdfV2Ng4pFbL8dhj535ixiyXS6OqY4rF0k+9b1Udk81GmcpS\nqcrUlMZgcIBhqOTzUxO/HiZ9KX3G42OmpyuEYYOdnVtsbsZJJPJIUox2u4NpHvDII4/z5JNPUyp9\n0rR6+/Z1vvWtbxHqGl1tSDZXQUAgCERSSoZ+c5NWa4PxuEcmkyMIAvb372KaA2zbBAIKhRkcx6Tf\n3ycIIrKnKGmKxTrd7iG2rVOvVykWE2zbGiFlcrnyg3uwXRvNNZgu5RiPs4ShhetaaNoAy9IpFqeZ\nn79ALCbjeS7jcZtG4z6eF8mk+36AqvZQlCSVyjyCINNub2OaY8bjLIIgYprjSanjEQuuxdnFi4yG\nLeJxhZX6SRKWSitVYqRFst3N5gbJZBrf9/C8AaraJp+vTUw9o3EVxRij0THJZIYg8Gm3tjHGHdrt\nbcbjHp3OLkebl8npA5J6j4NYnEZ7k98LRVZ9B9n3EI0BhjYg19yisHgeWVYYjdrYtsnx7g2eNIac\nFkWS/TZ912I1maMiiGR8j3g8getaHB6u8nLgcTb0cYIoOD2HwGMIfO/++2wd3KGczLCh9vGXHudg\n+wqngH9CtPN/nqhBfUgUcOWIgqVL7c3JPNZYXb2M76s8++znMIwOb755mXb7kNK4xyhwqRFldASi\nYDDtw8BzKMlJqtU5er19XKKm7o93xv81UUBWICIO7xCVbR2pPZ7xnWiXmgApCOhO7vEKEUmJvqEC\nykDgWezu3iC0TU4TBYApIrJiEgWs7xBlGWaISre+QRSAakQBuEaUadkBeqHP2tE9upbOGvC5ygJC\n4KEPjhCBPyMKPreJSsvm+CQTdMQnqmwZosDXJQqYFXxW5Ayqo5MRRWx1wFzo83gszoFtIRERp9bk\nHB+TKp+ITN2dvC8fz9PHfT9xoBUEJAiiXX9B4JnZGb7+wrPcbzZo585h3btFDPj+5FyFyRhZwEvA\nlyZz5wN/Orn2hQtnCYKAbFbm39gGL4X+g56uw8lzvzl5tsPJ/Wh8QqpG+/s88+ijtLpdvvn669QS\nCZpHx2y8/hricZMv1Kb4i16Xpcm8f3fyPPNEJGscBswWi1yYmuLNVosrikLM9ylOT3NSFNlTVUbV\nKk/Pz7Oxvc1CoYAhy3QFAcF10W2bK+02s4kEnu9HprDpNPkgoCuKzAJbnkdS16FQQNJ1FldWOHP6\nNEE2y5VmE+vggLrrUpm4Px+GIReI+tnkybOWBYF94AZwOxbjqSCAbhfX8/hjz+MfAzOCwGoYsjVZ\nD+cnY1wAZkSRN8MQz3WRJuMpEBGnMRH5DYiIi0NUlnmPiMA+RkSQ+5M5NIk2NIrAX02Os4j6kqzJ\n/2cn63xIVCZXJcpCArwSBMh8smmwDaSDgIRt0/V9XEliW9fJyTJzksSR66LaNqaiIIsikmEwdl2W\nLIt0IkHb89CA57JZxr0eB/PzTE9Pk0skmK5WUTsdYrrOwLYJVRWlXCY/UXl9WBr3EA/xD8SJEyv0\n+wOuXXubxcVz1Gp1YrFIgWg0GrC7u4EoDj9lrvnLDMuysG2fbDb7Mz+by1Xo9fr/YCJUqZT58MPb\nSFKJSmWWVOrTJYphWKXbbXP79iqVivwgsxOJKFTodFrMzS38xPM7jkMYmp8yF/1h+L4PiDiORhgK\nLC2dYm5u8cFulONEZUGq2iIWi+E4DkdHTS5dWqVaXWZ2tk46HY2X67qMRkOOjjYxzau88MIzP3ZX\na2qqyuZm82cSoX6/zYkTdQAKhSwLC3n29joEQYp2e5swFCZjFGW8PM+iXk8zHuc4ceIUkpQgCKJw\nUdMWcRwBTRvQ7bYoFssPsk3xeBxZlrh7uMbZR75ALldDkmK4jsnIMsjVTzIc9tnY+ABFkbl+/XUE\nQWNpaZZ2e5tkMouu/7/svXmYZFd55vm798a+R0ZGxpL7vlVWqVSbtlJJoiSBhJAAm820Bxua9ozp\nNj3TYw9jT9PNY9Oebg/zgGdM0zZjGmzT2CwCjJGEQCVRJdW+Z2blWrkvkRkRGftyt/nj3MyiLCQE\nxm3Jru954smKutu555x7433P933vt4XDIUQWhIdEo1IpUq/XLenuRe677xG8XpP47r3MjJ6j1RtF\nURxIMqyWtwj1DWKaBfr7WwkG/dRqZdLpRfr770ZR7OTzG0iS8OrIskwwmGBm5hSVShEwyWTmqVTy\npNNL9PXdxebmnKVY58LhcO14j2wm3JEcRM+vE4k0Ew4lsNld2KtF5jOLFOsV7HY7Pp8DTSujKBKd\nnR0oioLXG0TXNVKpeWRZorI2i5FbJVXcIpdbY8gdJFSvUNicZ3p5kmityB2GjuHwsEurMT/5Em2y\nna+V8zjROQp0ILMIvDT1Ehe21jEMjXq9TKmUYxCDfW4/DaaB0+6gJMFCrYxk1NGNukXYZaq5Fbym\nTh4BbpxABJM4Jp21Mq0tgwTDzaiz56m7vExW8iSsfYsIIPUCIrl7O7wpAJRKWaKb8zgqBdLpq+zb\ndy82m41oNIbD4SIYjFKol3dCqmIIoDUObBg6HrsbSYJarUpmc5kmBMjbXsVuRXiiehCA7XngS8Bm\nvYCOIC2adUwEkTuygQDf26DdAxilHIuL49TSS5QRYXcHEd6JNas9zQjwCjBjHV9GgO8Iwpuzap0/\nAORSc1xDZgnIywbhjl1MLl7lJCIRvQNBdLLWdZKIFfo2q80HrGutWN8XrP0yikyH4sCJzli1RF1R\nSOk6EV0U32ywxi9k3Xcc4T34ASK8qdlq67T12ZZn9lj7NwIZ0yRbztPemSDW0sjmuXN8BwGMQ4h8\noCoibFBDEKlFBLkqWm3wITzviqJQr9cJqip7rX5Treto1venEWIASas/TlrzoMdmI1QsMud0snTx\nIt3xOBtLS1SuX+fN0RjDzS18vValigjl2o3wepy15kOlWsUslXA4HDw0MkLG6eSa10u1s5PlSoV8\nLscjt9/OyQsXWL98GWo1JKA/EiGTz+Pt7eXSxATZQIC1zU26XS7e3dFBMZPhB6pKulajU9dRnE7K\nDgdXvF4ce/cSaGsjbwrPmjw2RkRRCNjtZGs1VEnCJ0nUTZOQabJbUZAkiXnTZFCWcWkaS04n7TYb\nH3C5+Gq9zhSQNU3sVt+r1jOmAmlFYQqh8Ja0xsJpzZctRJiilxvE89uIsLqQ9d1nPQcBBGlyW2NQ\nsI4bZzuMUpCeBQR522X924tYKEghnuH4j1w7a831DWtujWoamqYxARwG3IaBT5Y5pqoEWlpI2O1s\nmib5hQU0Xcem68guF+5ajdTkJHWHA8XpZKpcZo/NhtfrpTkaZX51lWs2G/fs3UtLSwvr2SxvFLtF\nhG7Z697277+dSOQ6Y2PjzM9fZXx8jKGhXSiKRnd3M8PD97+hi3n9PE1VVSv35Ceb0+n8kXyQn93c\nbjfpdIpYrOllJAgE4WloaGR2dpSmpvhN2xKJOOn0NdbWVonHXx7+WC6XWVqaZu/eQTKZDTye9p1t\nx48f45577tuRj3Y4GmltbSEWa0BVVeveJLxeF7FYG5LUzujoaZqbPZw6dZF4fIjm5vabrme322ls\njOLz+bh69RRzc/P09HS/rF3BYBCPZ52lpYVXJHHLy4t4PBLBoMjl6e5u49q10/T1jbC5uYlhuHE6\nfciyRK1WRdMEMZmevkp3dy8jI3sAUa/INA00rY7L1UA2W2RxcYZSKU00KtYAx8bOIEk6zp69XF2f\nobtWJuBvoKLWOb+1Rl6x4dyYw273MD7+PA899CADA7sIh1W+9a2TXL9+kZGRN6GqNQqFNKZpIssy\nXm8IXXdw6dJTQI3BwX6CQUHs1tV+ZlOr+PQKmZpOIRymMeimt7eBlpZ+/P7AjuDJ5uYCoVAcny+M\nJMmYplAQy+dTGIZJvV7BNHXK5S0cDgflco7NzTlCoQSJRB/5/CayLKNpKo2NLRTyGeavfh9WJykD\ng6EEujvABiaFpm5sNgcul4eurp6dhZNKpUQsFsMwTJxON+n0Itr0KXpMA49hkF6ZpNvQKYYTNAai\nDAdjVJYnaXZ48GIjW8xg1itohU1K5QIpdB5GAKEVTOJ6nQdlman1CWqBJhwODx4zzZ2hJpo8Qepq\nBVWRiIYa2JVa5EQ9x8H2NhYXpkkkesieUrmOADztCBA5i4j/77Y7iXlCZIw6LlmmzYRz7iAmi3Qi\nSIELkYg/ilgdDiLAaBk4FGljTavTHvITiXiYnh4nn19leHgfa2tr1LQKTgTAcyLA8RIClBXzG2ws\njNHc3EtpcwkZQSAeQpCOt1nXeB4BwA4iQPRFBIG4hAB6NgSJuGadP4TwHNQRq+Ib1SK2co6eyhYh\nBDm4jgDjRW54aArW/S4jgN06AnwvI0LetkOKPMA+T5DOagnNUEjbJC6rdRYQAHAQARaHrT5/ErEi\n/xDCs5G3+mAEQThywHNW213OAAUzz7INFLXOoGGAqfMMBleBNyHEBxRrHC9bx5Ws/rhm3bfP6u8A\nN3J77NZ1g8DF1VVWLl0iLsuoFy+iIUDyu6wxxhqzryBIlg8Bil3W9WTEb4LD4UBRFFTTZBUBvt1W\n3xpWWzoRxKhmbdtjtdNts2FTFIKVCloshuFwsCHL3Gm3kyiVuPbSDykjEv3dCIIb4Eb41kuGwWou\nh7ezk57mZrLr62wFAvyzD3+YQqHAM19/ki89f4L5c6eYuXyZI7pOt8vFRD5PWpJYqlZpCAQItLRQ\nK5e5Oxgk4PNhlss4q1WaPR4WVZVSIEB3dzePh0L4hocpeDxsHTtGcmwMh6Jg83i4oKp0OZ20myam\nYZA1DIJAQdeRJYl1SaLNNPFJEqbDwVy9jrtaZa8ksWCaJK0xarfmh1uWGTOER/OKrvMWa76sWmPf\njyAxXwX+F4T3qI4gm1M/MvYRRKinAyHCcL81NnOIZ6to9a/Hmudvtv56rG1NiPfEtiWtOfDfECRo\n1hpXAxFWmUI8m9cliUmgqCjcG4uxbJqs1WqEGhs5ruvMaBp3V6u0OhwMGAb2TIarqsqe1laaeno4\n+eKLZOp1UuUyWjTKIw8/TCwU4vr6OpG+vjeENwhuEaFb9gYwSZLo6uqis7OTXC6H01nh3nv3EQgE\nfm7KZ/9YTJZlK7n9J5umaTfl9vystrW1RUtLF/V6mdXVRSKR2E3EtFDIk0ot0dHRwtLSMg6HC0mS\n8HrdNDZGGB7uZ2pqlqmpTfz+RlwuF7quUyhk0fUK/f1t+Hw+Ll8eJ5NJ09AQuen6iqJQqZTQNDex\nWORVvTSy7CCVWkVVnSSTr+yFcrnctLb2MzZ2ie7urpvEOratv7+HyckZZmbGCAaj+HzCq1QqFdna\nSuH12ujr6945NhwOU63mcDqdHDx4N9nsJltbWQzDoKkpSmPjLvL5LJcunaStbe/OdbbDBhsbQ+i6\nE7vdhmm2kcms4PPZrfba8HpDRDt62dpY4fz6LGbqOgVJxtu6i/ZkH6ZpIEkGpdI6qqpTr2fo7e0h\nkVhhYuIEtVqZRKKXaLQNRbFTr1dYWhpjYeEqKyvX6OsbRtMqDA/3EYk0sNwcZmMjS7lcodnloqmp\ngZaWGPF4E9evj9HW1ku57Mbl8mOaJvl8ilwuhaLIlsKjgWmaOJ0ebDYHyWQHDQ1BNjbmCIViLCyM\noigOVLWK2+3HbnejqjVUVcXjDXJm/jIP1at43T5a1BqZ8jw/1A38fXdQKmUIhUJIUpVyuYiiiIK1\nsVgz8/PLaJpKeXOJlvVZGnQVHxDMLpND4mJunY3GDvR6mSZMbPUSjZEOVlfGhMJbpUgEDS8ClG8h\nVNYCpsmwWieuq5wplwgEGnFUMyi1LZxOB7pRx26XcDoUIiEfzsYEKaVOuVahVitRtjm4rlW4gxvy\nyxsIwDNoc2CrFllPZ6iU8/gdLtTCBh4EoLIjgNn3EIDnWYSa1HZoVzq9gFOv482mcTodJJMRuroO\ns7kJfn8TU6e/QREReubDkhdGgCg5vcB0PU81kqBYzuJEEI4SghxcQYCuuHXt5xFgUbXaP4eQevYi\nANi0dU/PIzwRdQSxsWOwyw5xSULevm8EeNtArJg3IUjPsHX8KYQHawBBHmIIYFlHkJYBm4O8XKUk\na3ynvoXznneydfLrhKy+0RHg04YgZqMIIIvVD3cjyNiM9f2dwH8AXnC4UU0NzWESURTKtTJ9soN0\nvcoMwhszbvWhYfWHCRxBkDAPAui+aPVbGSGk4EKQLhcWWSoW6bPbaQoGWdrcxIPwAmwD3ZLVJ4MI\n0vte6/5z1vWdwNkzZ4gnEpw7c4aMtd8qN0K3FhGgPW7dq81qWwRBeFfrdfpjMbamp7HrOv5qlS67\nnaDbTbMJmY11DOsetglmDAH6cRJ10wAAIABJREFU/wbA4WAxkUC321nLZpmXZfruu4/JyVnqdYkD\n9z/OuUCS6a/+Jb8iyexy2MA0OVSt8m3DYN3pJKtpdMTjuDSNtbU1RgCb308mk+E206TgdGJraiI2\nMMDa6iqTzzzD5sIC72ptxR0KsWaz4ctkqNpsNCWTlFZWyFarrJom81au0JYkUbDmaM5mwx2NsmkY\nNG5uMmCzMW+aJCWJZk1jzjRRgVXTZL/dzmmbDYeq0qBprFr9d8CaU2GrL76OIK+q9UwkEGR10Zq/\nR7gRRvm0NSbXre/3IEj6eWtcWq05BIL0b3umdG54dK8iCNsQN7zDKwgRjDWEFzcjy7wtHheREMDk\n1hYLwNtUlUNuN0u5HDZFwaNplJ1ONnSdsqri9vkYHBmho6eHiUOHGHvuOXY5naiaxqXlZVLBIHce\n2Panvv7tFhG6ZW8YkySJUCjE29/+9n/oprxuTXhkNKrV6quKCwAUChm6umJ/52tmszkikRjBYIj1\n9TUWF8ex2VxIkoyq1nA6FVwuk3y+TKmkUK87cbvdbG4WWVgYI5FoYGCgl2q1yuZmmmo1i6LItLdH\nCIfDP1Kss5dr16YpFLZoaGjizjsPo2kamUyara00jY1ekskfL2kNUK/XsNsVVlYydHYe+rHk5kct\nGm1iclKlVCrh8/letl2WZQYGeikUCqyvb7C+ngLA63XT39/6svDEdDrL3XffzeTkBPV6lVisha6u\nPiRJolarkM2muXz5h4yMjGCatp3isNvW0BBmdnaFlpZOGhpCXLqURVHquFwuPB4bpmnicLgZGLmX\nev8hNE3F4wkiy4olzCCRSs0RiSRxuWwcOnQ/zz//HXp6BpifX2B19RqVivDESJIQSygU1slkVonH\nmwmH7USjQTY3N+joaCOZjJHP59F1A0WRCQQCOBwOVlaWCIe9dHZ2MjenU6nk8PsbMU3NImMysmxi\nmjYkyaBczln1e2oEgx7cbgXTNKnXS0xMnKStbReK4sAwdDStRqm0xezsOWJOL2u+BoKGxiW1TE62\n0doQYzm/hsPtJRSKUK0WcLncGIbO8vI84XCY8fFrLC+PIafmaDY0ivUKS/kUhXwaXauxW9dwl7Ks\nqFVmXT6aTSgUNtB1lWIpi1otYyKAay8CUM5gxennN1i1O/A0tJNOzxOPtzCxMUMyvYRc2sIZ9JGu\n57hg6Ay8+TGGh/v5L08/zdL8JVTFxm2aSJwfQ4CZdQR42qqVqW/Os1WrUq7k2ciusFXOo1r7bPt1\nqwgQ7kB4Ozat/1tancI0wSfLLC8vEo16aW9vprHxLK2t93Htz/89Lda+cwgw24ZYZU5KMKTY+G5q\nFlW2YyDAd4N1bS8iT6lqXXcG+B2rPT3AY9a2bXngNALA327tP4cAgz6g1R+gtKbTiVhNryNI3iBi\npfw88GEEsGvlhufBjyBIkrV/g3XNK8UMCV0jqUg4qwWaYrEdT0nU6rdZBFlRrfFMIUhVEQEyHdYY\nDyHCjHRgOJRErWVZs1cZTW9SDzdyolxiDAFYK9wgf3mEh0xBkNNtUhS02nzcug8QHhWsfVuANsPg\n1MQEBwYHmapW8VvtvoyVnG/dq2Kdb8D6u4wgQj7g/Oc/z7379zPxne8gWdu2Za43rXmiWffWYd2v\nat37KhAIBBg1DK55vRy12WgFoo2N/NXCAh1IyLJMozWmT1t9OG+NVx4Iejx0DAwwfOAAsiRRLpex\nOTzY7eGdMgfVapl+tc6hxiY2CnmkYoEmm8J+w+C/lkrc/+ijVLNZWvfs4cX1dSobGwQliWIgwDW7\nnUpLCw8+8QTrc3PcaZrMpVI84vORqFSYWF/ntvZ2nszncdXrGKEQisfDuYUF7pEkTuRybNlsBBwO\nqorCar3OWijEb7z1rYyNj7OaSjFdq9EjScwbBjOmyRQQVRQe9ftJ6Tor9Tqdpoli9d1t1ji5EYT1\nHuAM4nnqs+b2dWuMd1vjL1nzsm6NSbM112zWuLQjyHuzdc6wtX+3NV+3fyns1nGL3PBcDSCe1S5r\nro8iyNCmrmOUSrgdDp7P50m5XBxpa2OlVCJrmhxyOtEkiXOKgkuWSQaD7POIumwgokFuu+02+vv7\nmZ+dZSOXwx+NcqS9/Q0VpfO6IkJPPfUUH/3oR9F1nQ996EP81m/91j90k27ZLXtD2Xbezfr6Cu3t\nXa+4X6FQAOqEQn/3mjrbqnE2m43m5hYSiSTlchnDMLDb7WQyadLpEp2d/aRSywSDIbxeL+FwA7re\nzOLidVR1ju7uTlpbW17xOi6Xi927h8hkMqysLLG6WkOWJdxuB319bUQiraytrRCLJV5Wf6parZBK\nLdHaGmNu7jJu96uTRBAKdzabnWq1+mOJ0Lb5/f7XlJNVLtdobm6jqSnO2Ng4MzPrgB1JkjEMDbtd\np709TlfXEIVCBk3Tbvox8Xg8NDb6WF1dJBZrJhKJkkjE8Pv9rKy08dJLU4RCEWTZJBgMUiwW8PvD\nVn5AhUIhQ1NTM7ncPLFYnHg8id/fxMbGi7zlLb9ENrvF9esTpNOLO0VnGxsTHDx4H/V6kdHR79LX\n10s2W2BpaYF4PEnjj1QZ1zSN5eVFDKNAZ2cHvb29rK8voGk10ukFgsGYJVAgkmhLpQy5XIpqtYCm\nqTQ0qIyOPsnU1DhLSwWOHPkfiEbbmZu7yNWrk6hqjXI5TyAQxetw0xlsotHjx7A5cDpdhE2DQq3E\nWr1I1/ABFhZydHTEdn60K5Uw4XAYTaujqjWKqevMpWY5oKv06TrH8xscMg2mZYVGxU6voROsFvle\neok7I814PCE2Nxaom3UGEXH/2/kAPsQK/jG1zLLTjdvtobm5jfvue4jvjD6PK7XAbX4vhq5ypbhF\nqjnJux9+kKamJkI9w6wXauiyADkDCG+GhPDInADm1TKNlRItbW3MzNW5tLVGQauQRYCb4I98nkSc\n5xeBTyKAVXp9jo3yFmOpNUacOn19Xdjtdvr725ieTpNGeCeGESvVdYRXKQe4TJ0On4uGYpZKKEY6\nc51NhLdBR4CymtVeCQGqtyuDtSKA/3YY3CYC1F23+k9CAEEQnopYU5Qzkzr7EeBwO4xuO6wnYf3b\nY/W7EHYXFrLadAWx8t0HKLrKKdMgiw17OEjx3PdREWSzxzr3ltUOBwKgbiLArB0B7MvWtU9zQ40u\nL8NCIU25twWju5PV8TEKNjtT1vaI1S8eboQBbosRbLdzm/SUuaF+l0MQlG0pdB+QrNd5amaGaDJJ\nJp3me9bYPmEdcx5Berqtti9bx70JQc6lcpnlmRk6s1nO2mzs0oRy36bVf8OIsDoZQd62SaEPEXJX\n1TTCu3cz7HKx9u1v421sxFaukIwm+JO1FZoNEy8CWP9oWFiDdY+mLFMKhdis1UjZbDTu24/DFSUW\nuxEmXatV8dhsLOayuGo1XIZOrqqiSxIlYGhoiEw6zWXTJPLoozx55gxhRUFyOPA7nbzr8ceRAGVj\nA5fLxZYk0er10hIIMJfJkMvlOJBIcL5UYi0YJNbYyEN796KsrVFcXeVsLseeYJCA18v5fB6vx8Nm\nqcRKLkfG62VV1+lRVQKyjMcwsMsysqKAw8G4rpPUdWK6zorNhqRphK2+nbE+XdyoKVWzxnY7KPt2\nhFd3W8o9bT0Lk9ZcwpqbdutTssbOtPq4H+EJrlj/ziOI6Hae3aA1F7uscZnmxjNXkCQqNhsrisI1\nt5toQwNJWSYRjfJiscis3899gQCtfj+K201wYIC5Uon2yM1RGW63m4HhYd6o9rohQrqu85GPfIRn\nn32W5uZmDhw4wNve9jYGBwf/oZt2y15nduzYMe67775/6Ga8bi0ej5HJTLK0tEAy+XL1uHw+x/r6\nPIODnT+X622rxm2bLMs7xKFSqbC+nqWzc2hHkvlHxQcURaG9vZuZmXGi0fxrkK2WaWxspLGxcWce\nmKbJ6dOXiMdjpNMZlpdncbl82O0uTNOkWhWaT21tMTRNxedzvazW0I8zwzBQ1fpPVLR7rbYtuR0O\nN3DXXXeRy21RLBatnBUHDQ0RVlZW0HX9ZbWzti0ej6MoG6ysXGd1dZFg0EG1WmF1dYF6vUwkEsfr\n9TE3N45pyuTzqxiGgdvtIx5voVIpY7MpVuFR8HpD2O1OnE4HfX276e4epFKpoOsqTqdzR6BifX1m\nJ+dnaKiPxcVlrl8fxen0WcRGpVLJE4uFaWvrR1EUurpaOX58Cr+/EVWtUyxmKZWyiJ97HUmSkGUF\nj8cHVHj80TfTUK1yl1Pji+NPsTF5Ap8vTCwYJVnJE3I4WawXqXoC4GtHLWWoVCus1FbY3zlCuVRA\ntyl09O/G5/Ph93t25mG9XqdYLGKaFXy+MKapUSjnseXWQNOomCaNhso0kNUNwvUK07KMXjfQakXG\nFQnD1AiH4jgRIP4wArhuFzwMA38J3O6LcL4gUpOnrp3nju5+pNYY80YdRVZob25ndzJBMZ/F5/PR\n3d3C3NwWC6rGRUS4nR/4ZQTYCSBW179VL3Jndy/Xc1nysh0XghgEuSE4UEWA8EUEQG6zjh/Rqmi6\nQclucODA3p1ncP/+PWxtnRDSvIiVbNk6xrDOqwD2Uh5DlSmXRFL8nyNAbxxBIr6GCMnZJhTbftl1\nq3+2A5hLCCC4/QbYFjtIWv8XijayhswSOutWP2sIcrMdZlTiRh2V7aKi7QggPmx9PAjPTJ8p7uMH\npknQYeOxoUH++msCrH+OGyTrLgTpjFj3HUSECT6OIBQxBMH4CmJl/8uaSincwMd/+3+nrb2dL/zz\nf86eWo2V7Ca6pomCoAgga0MAURlB0KIIkrGJ8IZtWtvXrGsXrXYZgOJy0bN7N8u1Gnvsdp6/cgUb\nN8KiZG7UpalzQ055W+VOBy5dusRbIxFafT7GQyECmQxJ08QuSTv332TJO59AePuyCLLahCCjn/zw\nh3E6nfzB1at88fIVWjx+vMkW7uvt48mL55kr5DhgSTtvJ/6vWn87Dh9m34c/jCRJDMXjjI1N0dh4\ncyRCW1sHF2w2Nmo1QrqOW1FwKjauaSp2v5/y3Bzhvj4O33knvQMDyLJMOp1G13WmL11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"text": [ "" ] } ], "prompt_number": 80 }, { "cell_type": "code", "collapsed": false, "input": [ "# Lets plot some stuff!\n", "# Here we want to see whether our new 'word_grams' feature can help us differentiate between Legit/DGA\n", "# Note: It doesn't look quite as good as the Alexa_grams but it might generalize better (less overfit).\n", "cond = all_domains['class'] == 'dga'\n", "dga = all_domains[cond]\n", "legit = all_domains[~cond]\n", "plt.scatter(legit['length'], legit['word_grams'], s=120, c='#aaaaff', label='Alexa', alpha=.2)\n", "plt.scatter(dga['length'], dga['word_grams'], s=40, c='r', label='DGA', alpha=.3)\n", "plt.legend()\n", "pylab.xlabel('Domain Length')\n", "pylab.ylabel('Dictionary NGram Matches')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 81, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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dWiTEyjEaDcRi2WXtm89nMBiWHnEV4mYic46EEEJcIR6P09c3QWdnz1XLVKuq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"text": [ "" ] } ], "prompt_number": 81 }, { "cell_type": "code", "collapsed": false, "input": [ "# Lets look at which Legit domains are scoring low on the word gram count\n", "all_domains[(all_domains['word_grams']==0)].head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
domainclasslengthentropyalexa_gramsword_gramsdiff
3429 dftc777 legit 7 2.128085 2.707570 0 2.707570
3715 5221766 legit 7 2.235926 0.000000 0 0.000000
4144 28365365 legit 8 2.250000 4.050612 0 4.050612
4235 mm-mm-mm legit 8 0.811278 4.260668 0 4.260668
4297 fzzfgjj legit 7 1.950212 0.954243 0 0.954243
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 82, "text": [ " domain class length entropy alexa_grams word_grams diff\n", "3429 dftc777 legit 7 2.128085 2.707570 0 2.707570\n", "3715 5221766 legit 7 2.235926 0.000000 0 0.000000\n", "4144 28365365 legit 8 2.250000 4.050612 0 4.050612\n", "4235 mm-mm-mm legit 8 0.811278 4.260668 0 4.260668\n", "4297 fzzfgjj legit 7 1.950212 0.954243 0 0.954243" ] } ], "prompt_number": 82 }, { "cell_type": "code", "collapsed": false, "input": [ "# Okay these look kinda weird, lets use some nice Pandas functionality\n", "# to look at some statistics around our new features.\n", "all_domains[all_domains['class']=='legit'].describe()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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lengthentropyalexa_gramsword_gramsdiff
count 60897.000000 60897.000000 60897.000000 60897.000000 60897.000000
mean 10.873032 2.930306 33.083440 40.901852 -7.818413
std 3.393407 0.347134 19.233994 23.302539 9.388916
min 7.000000 -0.000000 0.000000 0.000000 -77.958157
25% 8.000000 2.725481 19.136340 24.056214 -12.938013
50% 10.000000 2.947703 28.703813 36.259089 -7.108820
75% 13.000000 3.169925 42.400101 53.036218 -1.995136
max 56.000000 4.070656 233.518879 233.648571 74.911550
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 83, "text": [ " length entropy alexa_grams word_grams diff\n", "count 60897.000000 60897.000000 60897.000000 60897.000000 60897.000000\n", "mean 10.873032 2.930306 33.083440 40.901852 -7.818413\n", "std 3.393407 0.347134 19.233994 23.302539 9.388916\n", "min 7.000000 -0.000000 0.000000 0.000000 -77.958157\n", "25% 8.000000 2.725481 19.136340 24.056214 -12.938013\n", "50% 10.000000 2.947703 28.703813 36.259089 -7.108820\n", "75% 13.000000 3.169925 42.400101 53.036218 -1.995136\n", "max 56.000000 4.070656 233.518879 233.648571 74.911550" ] } ], "prompt_number": 83 }, { "cell_type": "code", "collapsed": false, "input": [ "# Lets look at how many domains that are both low in word_grams and alexa_grams (just plotting the max of either)\n", "legit = all_domains[(all_domains['class']=='legit')]\n", "max_grams = np.maximum(legit['alexa_grams'],legit['word_grams'])\n", "ax = max_grams.hist(bins=80)\n", "ax.figure.suptitle('Histogram of the Max NGram Score for Domains')\n", "pylab.xlabel('Number of Domains')\n", "pylab.ylabel('Maximum NGram Score')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 84, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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nT+rjjz+WzWZT//791b1797M+oKdRNFE0uZvTEfMDAAAAref1nqZVq1appqZG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\nhtPXAcAUJJvN5vInNLSPr4NsF9b8w0r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"text": [ "" ] } ], "prompt_number": 84 }, { "cell_type": "code", "collapsed": false, "input": [ "# Lets look at which Legit domains are scoring low on both alexa and word gram count\n", "weird_cond = (all_domains['class']=='legit') & (all_domains['word_grams']<3) & (all_domains['alexa_grams']<2)\n", "weird = all_domains[weird_cond]\n", "print weird.shape[0]\n", "weird.head(30)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "79\n" ] }, { "html": [ "
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domainclasslengthentropyalexa_gramsword_gramsdiff
85 9to5lol legit 7 2.235926 1.991226 2.359835-0.368609
2611 akb48mt legit 7 2.807355 1.301030 1.041393 0.259637
3715 5221766 legit 7 2.235926 0.000000 0.000000 0.000000
4297 fzzfgjj legit 7 1.950212 0.954243 0.000000 0.954243
6045 crx7601 legit 7 2.807355 0.000000 0.000000 0.000000
8531 mw7zrv2 legit 7 2.807355 0.000000 0.000000 0.000000
10802 jmm1818 legit 7 1.950212 0.903090 0.000000 0.903090
11961 qq66699 legit 7 1.556657 1.322219 0.000000 1.322219
13200 twcczhu legit 7 2.521641 1.724276 0.000000 1.724276
13756 hljdns4 legit 7 2.807355 1.724276 0.000000 1.724276
14763 6470355 legit 7 2.521641 0.000000 0.000000 0.000000
17322 d20pfsrd legit 8 2.750000 0.000000 0.000000 0.000000
20591 lgcct27 legit 7 2.521641 1.176091 0.845098 0.330993
23458 jdoqocy legit 7 2.521641 0.000000 2.813581-2.813581
24661 95178114 legit 8 2.405639 1.591065 0.000000 1.591065
24720 ggmmxxoo legit 8 2.000000 1.113943 0.602060 0.511883
26454 ggmm777 legit 7 1.556657 1.477121 0.602060 0.875061
27222 rkg1866 legit 7 2.521641 0.954243 0.000000 0.954243
27676 1616bbs legit 7 1.950212 1.806180 1.322219 0.483961
29142 5278bbs legit 7 2.521641 1.806180 1.322219 0.483961
29551 05tz2e9 legit 7 2.807355 0.000000 0.000000 0.000000
29858 1532777 legit 7 2.128085 1.477121 0.000000 1.477121
30119 5311314 legit 7 1.842371 1.000000 0.000000 1.000000
30290 zzgcjyzx legit 8 2.405639 0.000000 0.000000 0.000000
30739 xn--g5t518j legit 11 3.095795 1.000000 0.000000 1.000000
31465 7210578 legit 7 2.521641 0.903090 0.000000 0.903090
31951 fj96336 legit 7 2.235926 0.000000 0.000000 0.000000
34455 xn--42cgk1gc8crdb1htg3d legit 23 3.849224 1.255273 2.411620-1.156347
35554 720pmkv legit 7 2.807355 0.000000 0.000000 0.000000
36166 d4ffr55 legit 7 2.235926 1.079181 2.260071-1.180890
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 85, "text": [ " domain class length entropy alexa_grams word_grams diff\n", "85 9to5lol legit 7 2.235926 1.991226 2.359835 -0.368609\n", "2611 akb48mt legit 7 2.807355 1.301030 1.041393 0.259637\n", "3715 5221766 legit 7 2.235926 0.000000 0.000000 0.000000\n", "4297 fzzfgjj legit 7 1.950212 0.954243 0.000000 0.954243\n", "6045 crx7601 legit 7 2.807355 0.000000 0.000000 0.000000\n", "8531 mw7zrv2 legit 7 2.807355 0.000000 0.000000 0.000000\n", "10802 jmm1818 legit 7 1.950212 0.903090 0.000000 0.903090\n", "11961 qq66699 legit 7 1.556657 1.322219 0.000000 1.322219\n", "13200 twcczhu legit 7 2.521641 1.724276 0.000000 1.724276\n", "13756 hljdns4 legit 7 2.807355 1.724276 0.000000 1.724276\n", "14763 6470355 legit 7 2.521641 0.000000 0.000000 0.000000\n", "17322 d20pfsrd legit 8 2.750000 0.000000 0.000000 0.000000\n", "20591 lgcct27 legit 7 2.521641 1.176091 0.845098 0.330993\n", "23458 jdoqocy legit 7 2.521641 0.000000 2.813581 -2.813581\n", "24661 95178114 legit 8 2.405639 1.591065 0.000000 1.591065\n", "24720 ggmmxxoo legit 8 2.000000 1.113943 0.602060 0.511883\n", "26454 ggmm777 legit 7 1.556657 1.477121 0.602060 0.875061\n", "27222 rkg1866 legit 7 2.521641 0.954243 0.000000 0.954243\n", "27676 1616bbs legit 7 1.950212 1.806180 1.322219 0.483961\n", "29142 5278bbs legit 7 2.521641 1.806180 1.322219 0.483961\n", "29551 05tz2e9 legit 7 2.807355 0.000000 0.000000 0.000000\n", "29858 1532777 legit 7 2.128085 1.477121 0.000000 1.477121\n", "30119 5311314 legit 7 1.842371 1.000000 0.000000 1.000000\n", "30290 zzgcjyzx legit 8 2.405639 0.000000 0.000000 0.000000\n", "30739 xn--g5t518j legit 11 3.095795 1.000000 0.000000 1.000000\n", "31465 7210578 legit 7 2.521641 0.903090 0.000000 0.903090\n", "31951 fj96336 legit 7 2.235926 0.000000 0.000000 0.000000\n", "34455 xn--42cgk1gc8crdb1htg3d legit 23 3.849224 1.255273 2.411620 -1.156347\n", "35554 720pmkv legit 7 2.807355 0.000000 0.000000 0.000000\n", "36166 d4ffr55 legit 7 2.235926 1.079181 2.260071 -1.180890" ] } ], "prompt_number": 85 }, { "cell_type": "code", "collapsed": false, "input": [ "# Epiphany... Alexa really may not be the best 'exemplar' set... \n", "# (probably a no-shit moment for everyone else :)\n", "#\n", "# Discussion: If you're using these as exemplars of NOT DGA, then your probably\n", "# making things very hard on your machine learning algorithm.\n", "# Perhaps we should have two categories of Alexa domains, 'legit'\n", "# and a 'weird'. based on some definition of weird.\n", "# Looking at the entries above... we have approx 80 domains\n", "# that we're going to mark as 'weird'.\n", "#\n", "all_domains.loc[weird_cond, 'class'] = 'weird'\n", "print all_domains['class'].value_counts()\n", "all_domains[all_domains['class'] == 'weird'].head()" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "legit 60818\n", "dga 2397\n", "weird 79\n", "dtype: int64\n" ] }, { "html": [ "
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domainclasslengthentropyalexa_gramsword_gramsdiff
85 9to5lol weird 7 2.235926 1.991226 2.359835-0.368609
2611 akb48mt weird 7 2.807355 1.301030 1.041393 0.259637
3715 5221766 weird 7 2.235926 0.000000 0.000000 0.000000
4297 fzzfgjj weird 7 1.950212 0.954243 0.000000 0.954243
6045 crx7601 weird 7 2.807355 0.000000 0.000000 0.000000
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 86, "text": [ " domain class length entropy alexa_grams word_grams diff\n", "85 9to5lol weird 7 2.235926 1.991226 2.359835 -0.368609\n", "2611 akb48mt weird 7 2.807355 1.301030 1.041393 0.259637\n", "3715 5221766 weird 7 2.235926 0.000000 0.000000 0.000000\n", "4297 fzzfgjj weird 7 1.950212 0.954243 0.000000 0.954243\n", "6045 crx7601 weird 7 2.807355 0.000000 0.000000 0.000000" ] } ], "prompt_number": 86 }, { "cell_type": "code", "collapsed": false, "input": [ "# Now we try our machine learning algorithm again with the new features\n", "# Alexa and Dictionary NGrams and the exclusion of the bad exemplars.\n", "X = all_domains.as_matrix(['length', 'entropy', 'alexa_grams', 'word_grams'])\n", "\n", "# Labels (scikit learn uses 'y' for classification labels)\n", "y = np.array(all_domains['class'].tolist())\n", "\n", "# Train on a 80/20 split\n", "from sklearn.cross_validation import train_test_split\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n", "clf.fit(X_train, y_train)\n", "y_pred = clf.predict(X_test)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 87 }, { "cell_type": "code", "collapsed": false, "input": [ "# Now plot the results of the 80/20 split in a confusion matrix\n", "labels = ['legit', 'weird', 'dga']\n", "cm = confusion_matrix(y_test, y_pred, labels)\n", "plot_cm(cm, labels)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Confusion Matrix Stats\n", "legit/legit: 99.58% (12140/12191)\n", "legit/weird: 0.01% (1/12191)\n", "legit/dga: 0.41% (50/12191)\n", "weird/legit: 0.00% (0/10)\n", "weird/weird: 30.00% (3/10)\n", "weird/dga: 70.00% (7/10)\n", "dga/legit: 14.63% (67/458)\n", "dga/weird: 0.22% (1/458)\n", "dga/dga: 85.15% (390/458)\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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99Ve4urriqaeewtGjRxEUFIQPP/wQWq0WKpUKAKBSqaDVag2+HpMKEZFSNWGg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\nIE9X/eOlh06ZMBrDzPDK963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"text": [ "" ] } ], "prompt_number": 88 }, { "cell_type": "code", "collapsed": false, "input": [ "# Hun, well that seem to work 'ok', but you don't really want a classifier\n", "# that outputs 3 classes, you'd like a classifier that flags domains as DGA or not.\n", "# This was a path that seemed like a good idea until it wasn't...." ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 89 }, { "cell_type": "code", "collapsed": false, "input": [ "# Perhaps we will just exclude the weird class from our ML training\n", "not_weird = all_domains[all_domains['class'] != 'weird']\n", "X = not_weird.as_matrix(['length', 'entropy', 'alexa_grams', 'word_grams'])\n", "\n", "# Labels (scikit learn uses 'y' for classification labels)\n", "y = np.array(not_weird['class'].tolist())\n", "\n", "# Train on a 80/20 split\n", "from sklearn.cross_validation import train_test_split\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n", "clf.fit(X_train, y_train)\n", "y_pred = clf.predict(X_test)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 90 }, { "cell_type": "code", "collapsed": false, "input": [ "# Now plot the results of the 80/20 split in a confusion matrix\n", "labels = ['legit', 'dga']\n", "cm = confusion_matrix(y_test, y_pred, labels)\n", "plot_cm(cm, labels) " ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Confusion Matrix Stats\n", "legit/legit: 99.56% (12111/12165)\n", "legit/dga: 0.44% (54/12165)\n", "dga/legit: 17.99% (86/478)\n", "dga/dga: 82.01% (392/478)\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 91 }, { "cell_type": "code", "collapsed": false, "input": [ "# Well it's definitely better.. but haven't we just cheated by removing\n", "# the weird domains? Well perhaps, but on some level we're removing\n", "# outliers that are bad exemplars. So to validate that the model is still\n", "# doing the right thing lets try our new model prediction on our hold out sets.\n", "\n", "# First train on the whole thing before looking at prediction performance\n", "clf.fit(X, y)\n", "\n", "# Pull together our hold out set\n", "hold_out_domains = pd.concat([hold_out_alexa, hold_out_dga], ignore_index=True)\n", "\n", "# Add a length field for the domain\n", "hold_out_domains['length'] = [len(x) for x in hold_out_domains['domain']]\n", "hold_out_domains = hold_out_domains[hold_out_domains['length'] > 6]\n", "\n", "# Add a entropy field for the domain\n", "hold_out_domains['entropy'] = [entropy(x) for x in hold_out_domains['domain']]\n", "\n", "# Compute NGram matches for all the domains and add to our dataframe\n", "hold_out_domains['alexa_grams']= alexa_counts * alexa_vc.transform(hold_out_domains['domain']).T\n", "hold_out_domains['word_grams']= dict_counts * dict_vc.transform(hold_out_domains['domain']).T\n", "\n", "hold_out_domains.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclasslengthentropyalexa_gramsword_grams
0 alcatelonetouch legit 15 3.106891 49.001768 79.015001
1 optumhealthfinancial legit 20 3.584184 68.667084 87.158661
4 elderscrollsonline legit 18 3.016876 76.441834 94.462092
5 mobango legit 7 2.521641 18.020832 22.072036
6 costaud legit 7 2.807355 16.037393 25.008755
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 92, "text": [ " domain class length entropy alexa_grams word_grams\n", "0 alcatelonetouch legit 15 3.106891 49.001768 79.015001\n", "1 optumhealthfinancial legit 20 3.584184 68.667084 87.158661\n", "4 elderscrollsonline legit 18 3.016876 76.441834 94.462092\n", "5 mobango legit 7 2.521641 18.020832 22.072036\n", "6 costaud legit 7 2.807355 16.037393 25.008755" ] } ], "prompt_number": 92 }, { "cell_type": "code", "collapsed": false, "input": [ "# List of feature vectors (scikit learn uses 'X' for the matrix of feature vectors)\n", "hold_X = hold_out_domains.as_matrix(['length', 'entropy', 'alexa_grams', 'word_grams'])\n", "\n", "# Labels (scikit learn uses 'y' for classification labels)\n", "hold_y = np.array(hold_out_domains['class'].tolist())\n", "\n", "# Now run through the predictive model\n", "hold_y_pred = clf.predict(hold_X)\n", "\n", "# Add the prediction array to the dataframe\n", "hold_out_domains['pred'] = hold_y_pred\n", "\n", "# Now plot the results\n", "labels = ['legit', 'dga']\n", "cm = confusion_matrix(hold_y, hold_y_pred, labels)\n", "plot_cm(cm, labels) " ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Confusion Matrix Stats\n", "legit/legit: 99.51% (6713/6746)\n", "legit/dga: 0.49% (33/6746)\n", "dga/legit: 15.73% (42/267)\n", "dga/dga: 84.27% (225/267)\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 93 }, { "cell_type": "code", "collapsed": false, "input": [ "# Okay so on our 10% hold out set of 10k domains about ~100 domains were mis-classified\n", "# at this point we're made some good progress so we're going to claim success :)\n", "# - Out of 10k domains 100 were mismarked\n", "# - false positives (Alexa marked as DGA) = ~0.6%\n", "# - about 80% of the DGA are getting marked\n", "\n", "# Note: Alexa 1M results on the 10% hold out (100k domains) were in the same ballpark \n", "# - Out of 100k domains 432 were mismarked\n", "# - false positives (Alexa marked as DGA) = 0.4%\n", "# - about 70% of the DGA are getting marked\n", "\n", "# Now were going to just do some post analysis on how the ML algorithm performed.\n", "\n", "# Lets look at a couple of plots to see which domains were misclassified.\n", "# Looking at Length vs. Alexa NGrams\n", "fp_cond = ((hold_out_domains['class'] == 'legit') & (hold_out_domains['pred']=='dga'))\n", "fp = hold_out_domains[fp_cond]\n", "fn_cond = ((hold_out_domains['class'] == 'dba') & (hold_out_domains['pred']=='legit'))\n", "fn = hold_out_domains[fn_cond]\n", "okay = hold_out_domains[hold_out_domains['class'] == hold_out_domains['pred']]\n", "plt.scatter(okay['length'], okay['alexa_grams'], s=100, c='#aaaaff', label='Okay', alpha=.1)\n", "plt.scatter(fp['length'], fp['alexa_grams'], s=40, c='r', label='False Positive', alpha=.5)\n", "plt.legend()\n", "pylab.xlabel('Domain Length')\n", "pylab.ylabel('Alexa NGram Matches')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 94, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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DZDIZTjnlFEZGRvjf//t/853vfIcTTjiBa665BlVVufLKK9mwYQP3338/iqKgqirPPfcc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\nhw5tpba2lBdfXNbmhQmefHI5fv8gJk2ahdvdSENDLc3NPgzDwOGIJirKQ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"text": [ "" ] } ], "prompt_number": 94 }, { "cell_type": "code", "collapsed": false, "input": [ "# Looking at Length vs. Dictionary NGrams\n", "cond = (hold_out_domains['class'] != hold_out_domains['pred'])\n", "misclassified = hold_out_domains[cond]\n", "okay = hold_out_domains[~cond]\n", "plt.scatter(okay['length'], okay['word_grams'], s=100, c='#aaaaff', label='Okay', alpha=.2)\n", "plt.scatter(misclassified['length'], misclassified['word_grams'], s=40, c='r', label='Misclassified', alpha=.3)\n", "plt.legend()\n", "pylab.xlabel('Domain Length')\n", "pylab.ylabel('Dictionary NGram Matches')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 95, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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0dFzprl2WSqXCyMgEgcAA69btwmy2nn5eJRSa4cSJ1/D7Kw1VpFVVlXA4Tnf3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\nkye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"text": [ "" ] } ], "prompt_number": 95 }, { "cell_type": "code", "collapsed": false, "input": [ "misclassified.head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclasslengthentropyalexa_gramsword_gramspred
896 dom2-fan legit 8 3.000000 6.568955 5.656685 dga
1296 mm8mm8-6642 legit 11 2.368523 0.000000 0.000000 dga
1378 4390208 legit 7 2.521641 0.000000 0.000000 dga
1514 sqrt121 legit 7 2.521641 0.000000 0.000000 dga
1687 02022222222 legit 11 0.684038 0.903090 0.000000 dga
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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 96, "text": [ " domain class length entropy alexa_grams word_grams pred\n", "896 dom2-fan legit 8 3.000000 6.568955 5.656685 dga\n", "1296 mm8mm8-6642 legit 11 2.368523 0.000000 0.000000 dga\n", "1378 4390208 legit 7 2.521641 0.000000 0.000000 dga\n", "1514 sqrt121 legit 7 2.521641 0.000000 0.000000 dga\n", "1687 02022222222 legit 11 0.684038 0.903090 0.000000 dga" ] } ], "prompt_number": 96 }, { "cell_type": "code", "collapsed": false, "input": [ "misclassified[misclassified['class'] == 'dga'].head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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domainclasslengthentropyalexa_gramsword_gramspred
9184 usbiezgac dga 9 3.169925 7.825928 9.172547 legit
9185 ushcnewo dga 8 3.000000 12.265642 13.904812 legit
9187 usnspdph dga 8 2.500000 5.182278 6.556287 legit
9190 utamehz dga 7 2.807355 10.741352 14.733893 legit
9192 utfowept dga 8 2.750000 7.095911 17.416355 legit
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 97, "text": [ " domain class length entropy alexa_grams word_grams pred\n", "9184 usbiezgac dga 9 3.169925 7.825928 9.172547 legit\n", "9185 ushcnewo dga 8 3.000000 12.265642 13.904812 legit\n", "9187 usnspdph dga 8 2.500000 5.182278 6.556287 legit\n", "9190 utamehz dga 7 2.807355 10.741352 14.733893 legit\n", "9192 utfowept dga 8 2.750000 7.095911 17.416355 legit" ] } ], "prompt_number": 97 }, { "cell_type": "code", "collapsed": false, "input": [ "# We can also look at what features the learning algorithm thought were the most important\n", "importances = zip(['length', 'entropy', 'alexa_grams', 'word_grams'], clf.feature_importances_)\n", "importances\n", "\n", "# From the list below we see our feature importance scores. There's a lot of feature selection,\n", "# sensitivity study, etc stuff that you could do if you wanted at this point." ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 98, "text": [ "[('length', 0.13110737655160343),\n", " ('entropy', 0.15589784074688856),\n", " ('alexa_grams', 0.48657282029928439),\n", " ('word_grams', 0.22642196240222362)]" ] } ], "prompt_number": 98 }, { "cell_type": "code", "collapsed": false, "input": [ "# Discussion for how to use the resulting models.\n", "# Typically Machine Learning comes in two phases\n", "# - Training of the Model\n", "# - Evaluation of new observations against the Model\n", "# This notebook is about exploration of the data and training the model.\n", "# After you have a model that you are satisfied with, just 'pickle' it\n", "# at the end of the your training script and then in a separate\n", "# evaluation script 'unpickle' it and evaluate/score new observations\n", "# coming in (through a file, or ZeroMQ, or whatever...)\n", "#\n", "# In this case we'd have to pickle the RandomForest classifier\n", "# and the two vectorizing transforms (alexa_grams and word_grams).\n", "# See 'test_it' below for how to use them in evaluation mode.\n", "\n", "\n", "# test_it shows how to do evaluation, also fun for manual testing below :)\n", "def test_it(domain):\n", " \n", " _alexa_match = alexa_counts * alexa_vc.transform([domain]).T # Woot matrix multiply and transpose Woo Hoo!\n", " _dict_match = dict_counts * dict_vc.transform([domain]).T\n", " _X = [len(domain), entropy(domain), _alexa_match, _dict_match]\n", " print '%s : %s' % (domain, clf.predict(_X)[0])" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 99 }, { "cell_type": "code", "collapsed": false, "input": [ "# Examples (feel free to change these and see the results!)\n", "test_it('google')\n", "test_it('google88')\n", "test_it('facebook')\n", "test_it('1cb8a5f36f')\n", "test_it('pterodactylfarts')\n", "test_it('ptes9dro-dwacty2lfa5rrts')\n", "test_it('beyonce')\n", "test_it('bey666on4ce')\n", "test_it('supersexy')\n", "test_it('yourmomissohotinthesummertime')\n", "test_it('35-sdf-09jq43r')\n", "test_it('clicksecurity')" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "google : legit\n", "google88 : legit\n", "facebook : legit\n", "1cb8a5f36f : dga\n", "pterodactylfarts : legit\n", "ptes9dro-dwacty2lfa5rrts : dga\n", "beyonce : legit\n", "bey666on4ce : dga\n", "supersexy : legit\n", "yourmomissohotinthesummertime : legit\n", "35-sdf-09jq43r : dga\n", "clicksecurity : legit\n" ] } ], "prompt_number": 100 }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Conclusions:\n", "The combination of IPython, Pandas and Scikit Learn let us pull in some junky data, clean it up, plot it, understand it and slap it with some machine learning!\n", "\n", "Clearly a lot more formality could be used, plotting learning curves, adjusting for overfitting, feature selection, on and on... there are some really great machine learning resources that cover this deeper material. In particular we highly recommend the work and presentations of Olivier Grisel at INRIA Saclay. http://ogrisel.com/\n", "\n", "Some papers on detecting DGA domains:\n", " \n", " - S. Yadav, A. K. K. Reddy, A. L. N. Reddy, and S. Ranjan, \u201cDetecting algorithmically generated malicious domain names,\u201d presented at the the 10th annual conference, New York, New York, USA, 2010, pp. 48\u201361. [http://conferences.sigcomm.org/imc/2010/papers/p48.pdf]\n", " - S. Yadav, A. K. K. Reddy, A. L. N. Reddy, and S. Ranjan, \u201cDetecting algorithmically generated domain-flux attacks with DNS traffic analysis,\u201d IEEE/ACM Transactions on Networking (TON, vol. 20, no. 5, Oct. 2012.\n", " - A. Reddy, \u201cDetecting Networks Employing Algorithmically Generated Domain Names,\u201d 2010.\n", " - Z. Wei-wei and G. Qian, \u201cDetecting Machine Generated Domain Names Based on Morpheme Features,\u201d 2013.\n", " - P. Barthakur, M. Dahal, and M. K. Ghose, \u201cAn Efficient Machine Learning Based Classification Scheme for Detecting Distributed Command & Control Traffic of P2P Botnets,\u201d International Journal of Modern \u2026, 2013." ] } ], "metadata": {} } ] }