{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Few Useful Things To Know About Machine Learning\n",
"\n",
"Recently I read [Peter Domingos](https://homes.cs.washington.edu/~pedrod/) [paper](https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf) on few useful things about Machine Learning, which discusses lessons learnt by Machine Learning researchers. \n",
"\n",
"This is an attempt to understand, summarize and implement the ideas mentioned in the paper by taking up suitable examples wherever possible."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Table Of Content\n",
"\n",
"* [Introduction](#introduction)\n",
"* [Learning=Representation+Evaluation+Optimization](#learning)\n",
"* [It's Generalization that counts !](#generalization)\n",
"* [Data Alone is not enough](#data)\n",
"* [Overfitting has many faces](#overfitting)\n",
"* [Intuition fails in high dimensions](#intuition)\n",
"* [Theoretical Gurantees are not what they seem](#theoretical)\n",
"* [Feature Engineering is key](#feature)\n",
"* [More data beats a cleverer algorithm](#more-data)\n",
"* [Learn many models not just one](#many-models)\n",
"* [Simplicity does not imply accuracy](#simplicity)\n",
"* [Representable does not imply learnable](#representable)\n",
"* [Correlation does not imply causation](#correlation-causation)\n",
"* [Conclusion](#conclusion)"
]
},
{
"cell_type": "code",
"execution_count": 466,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"\n",
"import os\n",
"import gc\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from sklearn.preprocessing import scale\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.ensemble import RandomForestClassifier, VotingClassifier\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.svm import SVC\n",
"\n",
"from sklearn.metrics import accuracy_score\n",
"from sklearn.datasets import make_classification\n",
"\n",
"from functools import reduce\n",
"\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"\n",
"SEED = 1932\n",
"np.random.seed(SEED)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Introduction \n",
"\n",
"Machine Learning algorithms can learn to perform variety of tasks just generalizing from examples which has made them very important tools in Computer Science and various other fields. To apply machine learning successfully on a particular task there are few concepts and pitfalls one should be aware of. The goal is to explain these concepts and pitfalls in detail.\n",
"\n",
"Throughout this notebook we plan to explain these concepts by taking the example of ** classification ** which is a very matured example of machine learning. We would first give an example of classification and explain all the terms revolving it.\n",
"\n",
"Example of classification is a ** spam filter ** which classifies emails into _spam_ and _not spam_.\n",
"\n",
"__Input__ : Email message (Boolean vector $ x = (x_1, . . . , x_j , . . . , x_d),where , x_j = 1 $\n",
"if the jth word in the dictionary appears in the email and\n",
"$x_j = 0$ otherwise\n",
"\n",
"__Output__ : Label ( whether it is spam or not )\n",
"\n",
"__Example__: Pair of input and output ( Input, Label )\n",
"\n",
"__Classifier__: Takes input and outputs single discrete value ( label ) \n",
"\n",
"__Learner__: Takes training examples and outputs a classifier\n",
"\n",
"Test of this learner is whether the classifier found is able to predict correct label for unseen emails or not."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Learning = Representation + Evaluation + Optimization. \n",
"\n",
"Suppose we have a problem and we feel that we could develop a ML solution for it, the first problem we face is to pick out an algorithm from large list of ML algorithms out there. This huge list is made up of three important components:\n",
"\n",
"- Representation\n",
" - Classifier has to be represented in a way that is computer understandable.\n",
" - Choosing a representation is tantamount to set of classifiers that could be learnt.\n",
" - e.g.: Instance based methods use a representation where we assume that nearby examples in our dataset are similar in terms of labels.\n",
" - This set of classifiers constitute hypothesis space.\n",
" - If a classifier is not in the hypothesis space it can't be learnt.\n",
" \n",
"\n",
"- Evaluation Function\n",
" - is needed to distinguish _good_ from _bad_ classifiers.\n",
" - evaluation function used internally may be well different from the one we want classifier to optimize.\n",
" - e.g. We could train a linear model which uses [cross entropy](https://en.wikipedia.org/wiki/Cross_entropy#Cross-entropy_error_function_and_logistic_regression) as internal evaluation function for training but we may want to optimize for accuracy, so we would choose a classifier that would give us highest accuracy without worrying about the internal metric.\n",
"\n",
"\n",
"- Optimization\n",
" - Finally we need to search through this set of classifiers for the one with the highest score.\n",
" - The choice of optimizer governs the kind of classifiers learnt if the evaluation function has more than single optimum.\n",
" \n",
" \n",
"Let's take an example of binary-classification where we will be using a synthetic dataset and implementing the notion of a __learner__ which takes training examples as input and outputs a classifier.\n",
"\n",
"Our dataset has two features and a target variable ( that we want to predict for future examples ). Goal is to understand how a learner finds out a classifier from hypothesis space. For this dataset we will be using [Nearest Neighbor Classifier](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm) to demonstrate the idea."
]
},
{
"cell_type": "code",
"execution_count": 374,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def plot(X, y):\n",
" fig, ax = plt.subplots(1, figsize=(10, 6))\n",
" ymap = {'r': 0, 'b': 1}\n",
" lmap = {'r': 'neg', 'b': 'pos'}\n",
" \n",
" for c in ['r', 'b']:\n",
" mask = ( y == ymap[c] )\n",
" plt.scatter(X[mask, 0], X[mask, 1], c=c, label=lmap[c], alpha=.5, edgecolor='none')\n",
" \n",
" plt.xlabel('First Feature')\n",
" plt.ylabel('Second Feature')\n",
" plt.legend();"
]
},
{
"cell_type": "code",
"execution_count": 375,
"metadata": {},
"outputs": [
{
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g88+1EAOYOPThhwylsIlPZlLJzARuvz3aoxBOh6h9JUzTbATQePJ3j2EYBwHkAxAxNsEUF9Pk/tJLzLhxOoG77wauvFI/p7aWMWX79+u6ZB4PcOgQe2AmJjIDc/9+xiYIgnDxYJrs3rFjB4PB4+OBW24Z3fU1XEZifz8XdenpkzdWQTgfiYn1iWEYRQAWA9ga3ZFcuKxaxRo56kY4uAigx8P4sqNHaTXzeCjKbDb2vExMZFaOiDFBuPg4cIAxpor+flrSf/azoaV1FHl5vHeEk5BAS7swsfj9wPvvA3v3spakxcLA/dRU3vuLi6M9QmEsoi7GDMNIBPAygL8wTdM9zP/vB3A/ABQWFp7j0V1YhAd0hnP0KL/IPh/dCt3dFGGGoWuS1dcDBQUMxh3MwABdF+3tvGlnZdEVMVxBWkEQzj+qqoZu8/tpUR8ppurKK3lvcZ+8q1sswLp1Ug1+MnjvPWDnTv6+Zw/vx4WFbOFUUwN85zuMHRZil6iKMcMw7KAQ+5Npmq8M9xzTNB8H8DgALF261DyHw7to2LCBbsnCQt50QyEG8dvtFFp+P8VYV5cukfHP/0xxt20bhdz69cCRI1yJxcWxttnddzNgd3C7JkEQzi8SE09vO8B7wcMPM/mnv59dsMQ9OfGYJlBezt97e3Vx16YmirFQiK3xRIzFNtHMpjQAPAHgoGmaj0VrHAItWjt38md/P8VWIEDrWChEs3cwSLdlKAQ8/TTbbfzsZ8A773D1W1vL59TV0W3R2go88wwLzd5/vwgyQTifWbqU9wivV28rKqK1fDTi4oBFiyZ1aALoxQB01f3B+HznbizCmRHNoq8rAXwTwFrDMPacfNwYxfFctPj9XFF1dlKAxcXRpWCz8afFQteCspgFAgzk/Y//oAuitZUWtP5+ZmX29mrXZXc3sGtXtI9QEISzIS2NNayWLGH80dq1wNe/Hu1RCQCFmBK8ycn0WACR3QKkxljsE81syg0AjGi9v6DJyWFQbV0dv9gpKRRfwaBOQQ+F9M+BAYqsDRso3Ox2/u336xZMPT3aGtbREZ3jEgSBiySfj27DsyEzk2EHk4HHw0VcdnZkLURhfFx/Pe/Z5eVM1OrupkvYbmcLpIULoz1CYSyiHsAvRJ/CQmZIDgzQOuZw8Mvc3c0bY1cXb5ShEOMTwgVadzdXYz4fXw9QjNntOp4k1itXC8KFSCjEMILdu7mwyskB7rxz+CSeaBEKAW+9xTGaJu8ld9zBcjqxRigEVFfzHllcHFvdBGw2JkesW6e3dXezBElcXPTGJYwfEWMCli9nyYrSUq6senpYtXn+fH7JVVulmho+3+mk8Ort5Re9tZVWMatVPz8xkRax0lI2LhcE4dyydSvDCRTNzcALLwAPPRS9MQ1m167IMAa3G3jxReB//I/Yyrr0+4GnnmKdRsVVV7GyfawiJUTOL0SMCXC5gAceoCBLS2P2U2Ii3RJz5vCGk5TEFezjj3MFe/gwV10DAxRfAwMUYhkZ/H9GBlty3HVXtI9OEC5ODh4cuq21lY9YsY5VVg7d1tMDNDTQYh8r7NoVKcQAdhhYtEhEjzAxiBgTANDClZ/PFWBJid5+5AhvOIWFDNjt6WH2ZE8P3ZdeL8Wc10sR5nbTJRIXR9el3y/tkwQhGgxXjNUwdIB3LDBSlnWsZV83NAzdFgoxq1zEmDARiBgTTlFfP/L2sjK6De69l4H7tbUUXg0NFF2qd6Wq/hwI0Hr23nunH/S7dy+bCnd1MTbjhhtopRMEYfwsX866gWZYdcZ58xiXFSuoEImGBqCtjdb1NWtoWY8lRooPixULo3D+I2JMOMVIN5zw7fHxwLXXcuX6wQfMgiovp2VsYIA/k5N5M7VYgFdfPT0xduwYX6MmkCNHWK/sxz+WLCvh/MQ0gY0bWacrFGJ3iiuvnPyYqBkzaM3evJklZ2bPBlavHvn5fX0MTs/OPnfW7ClTgJkzuQAbGGB4RFMTXYKTWaS0p4d1FXNyRm7nFM6SJYybbWvT25Ytk0WiMHGIGBNOMXUqV84VYa3ap0zh5DGYyy/njezAAeCKK+j++MUv6J602bSYcrs5AY0lpDo7dSVpc1Cfha4uWuKmTz+rwxMmg2AwtiKtY5D164FPPon8e2CAFt/JpqQkMuxgJD75hIIxGKQ4uflmZjTGxfFRUUErW2IiC8CeTpmMgQHGqaWnczEXjtfLDMV58yK3b9zIDh5nittNi1swyCSi8Mr/H3/M/YdCFJ3r1lFsjUZ8PItX79vHe1VREUWkIEwUIsaECO68k0G1x49z1VdWNvIqecYMPhRvvw1s2sSbld/PoP/ly0cXYn19wJ/+xLZKysWZlRVbcS3CMFRV0TTa2kpVvm6ddCMegeGKHu/ezVNmxEClxepq4Isv9N8dHcDf/i1FjMulu3Cose7cyQKw43El7tql+97abFy4XXGF/n9v7/BV41VLn/C/u7rYfHysUg319cx8VKV2PvsM+OpXgVmzGO+6fr1+rt/PxKQZM8YWmHFxY4s2QThTRIwJEVgsrNZ8JhWbFy/mjdfr5Y27v58ZR9/7HkVXSQlwyy2RN7QXX2S6vd/PR18fV7Hh7pS0NKlVFlN0dgLPPccZGmDNhD//mb7kpKToji0GGU5sBIO0AMeCGDt8OPLvAwcokjo6OMYtW2iVVm7D/n4uusYKP+jsBN58U1u6AwFa4IqKdKak38/38fnoHlVG1hkzKAINA3jjDboITZOLtFtuoVAciY8+0kIM4Ll+/32Kserqoc83TYZDTKbQCgYZa1tRwWNYvnz0YxAuPkSMCRNGXR1vqGo13dXFG/uxY7wBHTxIi9u99+rV8RtvcFtHh3aRtLczHsNi0ZX9f/tbxtkMdmcIUeDAAS3EFH4/P+BLL43OmGKYBQsoXsIpLY2dGMjwzEXVzgygJUhlSbe2RsZwjaerRnX10JADgOKvsJB10N59lwLs6FHeJxYvZmhEbS3wj//I2C63mxYxgKLttdcoDge7PBVNTUO3tbdTDI60VpjsNYQqbKuoq+NPEWSCQsSYMGH09lKIuVxcFQ8M8AaoWimp2K8tWyjG/H56u7q79Uq2t5ep4hYLLWTKJdHSQivaffeN3ZxYmGRGUhGxoi5ijLVreX0r6868ecBNN438/LY2XTH/TOnvp9CpqOACZ/nyocH7TU20GB05Qn1dUMDvLsDYsLQ0fndtNt11QzEej7TqwDHcdq+XFiyA3/fLLuN9oLSUmZVHj1Ik1tXxu+908l5QW8t7RGIi8M1vRsaCKfLzeUzhZGfzGBYupDD2ePT/VBLBZOH1MhZ2MFu3ihgTNCLGhAlj5UpOOF1dvNF7vdyuXA+myUmiv5+/V1Vxwmls1P8HaEVzu3nDTEjgzTgU4g11zx4RYxOGOsm5uacXhD9/PgNxwn1BTqeYLUfAZmNA/A03RLYTG0x/P/D88xQcAK/3u+8eXnCMxSuv8PsF0Lr08cf8iJYt4zafj3FVHR30MtvtjLW68kqKNuVCtVqZhRkepzVtGrBixdhjmDWL8Z+trfy7r49Cc98+Ci6vV192FgvF34YNjFk1TW5TsaP19bxclcu3rg548kngRz8aGkN2zTWs/9Xfz79VkD5Asfm97zHDtLWV95LLLjuzdYQ6r0ePMt5s9erhRZ3frxek4fh8p/+ewoWLiDFhwrjzTprjjx/XN02LRd+IDIPia/Zs3oi7u+keMAzO62qistko6BISuLJXzcePHYutqtznLabJD2rXLv6ekADcfntkNsZoJCfTLPHRR1TdeXmsd6LMKsKwjKV3P/xQCzGAi5A33qBb/3To6dFCLJw9e7QYq6zkR1deHulxTkgA/u7vGNB/6BA/0rvvpgCrqeH3dbwlJ1Rdwk2bOJ5t26j7Gxr4XT54ULdK6+vTIQ3BIMWNw8G1gsUSKcTS0zkOj4f7GNwEe8oUhi9WVHBfc+dSiB4+zH0WFkb2cDwTTJOJR2oh2d3N+95999EyF446Z4Mr+MvaRQhHxJgwYZgm5/OGBsZodHTQpdDXx5tgQQFXj2438K//ysmhtpY3+spKirbERN58Dxzg3z09OssyJYWr2VgJfD5v2bOHKXGK3l7gpZeAn/50/AWmpk4FvvOdyRnfRcpwAqq2lguV0TIIvV4KD5+P7cvsdn4/hovXUoRCLP3Q3k4Bpj72HTuAr3yFVrnp0xlsr75rZyIeEhKo0w2D4lJhs9ES5nbzOXv2MLQhNZWWuqYmihqbjZdafj7FVFpapNgZyboUH68D8o8fB559lvchgILwm988uyr/DQ1aiClCIX6tBosxgM3PX36ZY7FaGUe4atWZv79w4SFiTJgwQiHeoNTKNjmZN0DTBP7mb4Crr2bwrYr76OriTVPFiQWDnBRUvFlvL0VYUhJvnFYrRdtLL1HcXXKJuCzPiMHpcwB9OsePSzG3KJKYSGtP+GLD6RzZrQlQTD35JBctAK1rd9xBd9lgcbd4MX8GgxQGO3fqkhW5uXz09wP/9m/6/fPzKVzGUxh1NMJjtBQFBbwnHD3K+0Z8PO8NKSm8b/T10cp11110i/7mN5EC02ql+BwN0+Q9RwkxgELv00/pOj5T/P7T256aSquZx8N73NmeT+HCQyJuhQnDbo+sSG2xcIIpLeWN12bTbpjw+LDkZGqAmTMpwDwe/lQV/b1ePq+riy6PJ5/k49FH6UoRTpPRIquFsyIU4rXd20sxNJ6sQ4AuQNV94vXXGdzd1jZ2nb5PP9VCTL3/e+8Bt91G953dzsXMNdewWCvAoP316+nus1o53pYWWqDa27UQM02Oa+PG4d/b7eY4d+yIFDvDMVzhWbudbtOSElqaOjt53lpbuT/V17akhJa6227Tl2hKCkXaWK2dPB4e02BqakZ/3VgUFg6fgTl//uivS0oSISYMj1jGhAnlK1+hQFI39dxcujqKiijGVAxZYiKtXb29vKF2d/Pm7vXq1aXFwpW7283nq30eOMD/1dRwxfm//3cUD/h85NJL6RcKX8bPmjVyP6wz4cQJYPt2+pHmzRt7ljrP8XqBd97htXniBMVEURGv0yVLmD05kmu9pgZ44gnGVDkcFFcqYD0+niUibrpJl3cAKJSqq3Ul+bQ0/T+Ph/FVX/4yH4PZto0/s7P5WhWTqXrBAhSRVVW0lB05wv1fconex5EjdP2pOK6PPwa+9S1asoajtJRB9zt28D2dTuDWW/lz/34u0oJBxqi1tvLYHQ5+5//iL2itW7iQl1FfH+8d4wm6j4/nfga7M8PP15lgtbLV1Ouv09IWH0+34+zZkc/r6qKLWcIphbEQMSZMKGVldGvs2KGzsVat0mn6ZWU6zXv+fMa6dHXxeYEAb5oqk0qhAvz9fv7e1KQtZc88wxW9YfAmn57O95tIXXHBkZXFlLJNm6iCZ8wYX3rceKmtBZ5+WkeGV1TQ9LJ27cS9R5QIBnktDq5x9eabFGJeL4PKAV6TRUX8LsycyUd9PSfm8OtzyxZawQIB/s9qpdsuJYWnLS6OYmT+fC5eiov5/GPHuL/WVu5PxXQlJo5u5FTNre12uiFVKMF3v8tMR6+XAkkl3lgsPL7cXC0I33svsphtfz/zOb75TXq7v/hCi7srr+Rx3Xgjv5vd3TqL+u23ua/kZAqvzk6K0ZQUPqxWnfn56KP82+kcf8yo3c44VVVGA+A+RuvROV6mTAF+8AMdExueoNHeznCKxkaev7IyFskdzeUsXNzIpSFMKIbBFe+KFZxI8vIi26Z86Uu88apK1NOm8YbV1UWR1tTEm7Vp6ofdrmNpVJ9LtdKNiwN+9SveuKdOpa6orAR++MPT65930ZGTM7zZZCLYsGFoUdjNmzkTj9XLJobZuJGH1t/P6/rWW3kaVb1bILKNT1OT7hyxZQsFjSqoOmMGW/TExXEyDxcXyu0YDFJwHT7M70h5Od2Wql3ZJZdw/11d+ruWlgZcd93omZt33UUBpDIVExMZJnDzzbQ4vfwy37uzk98zVfbiwAG+h9+vy1WEc+IEg+//+Ect1Fpb+drvf5/HmJzMY/7jH+ma3LNHB7Xn5+sir3Z75KXS3EyN/847PFZ1nOPpFKIWZxUVuqXR2dRwG8xwVq+XX9YB/qEQP7v0dGDNmokGxk5mAAAgAElEQVR7X+HCQmLGhEkhJ4erwcH962w2Bu3+6EdsvGu380bc3q5rDVmtenKyWPi7zaYnGGUFU0KtuZmTRn09f/p8w/cDFM4R3d1Dt/n9uvDTecjBgwyOV4dw4gQ7QKmWPep6NQyKGOVqU9fprl1aiAF086lYrDlz+D1RGY3qeldxUyr4vaeHIQAeT2QdvksvZVzV7NnAQw8xU2806uv5GoeDFr5bbwV++Uu+57XXUpQp63RWli7OXFPD79rbb9OCVl7O86DiP3NzmRQwuP3TiRORZR02bKAQ83i43eOhwFJVVmw2Lq7CrUjTp/N8q4zMzk4WgR5OFA7HrFmMObvxxokVYsPR3c1jHkxFxeS+r3B+I5YxIapkZvLGrCYii4U35FBIr8pNU8e1GAafo/4OBLiKb2ykkFPB/uETH8C/9+yh6CsqGnvCEs6CGTOGzpKZmZxhz1P27x+6TdWWmjaN19PWrRRZXi+v3bg4vm7x4uGDvaurgauuohW5tZXuz6oqvk71drVYeP1brRROnZ3axamMj8rduG5dZALNiRO6IOncudxHRQVrlwEsdgrwu/HKK/zOLVzIMf3qV5GhAlYrLWOHDvF71NPDseTm8veyMiYJqHi0wYTHbNXWUoDt3q3dvuoYZ8ygOK2r00WjCwuZfPDCCzznLhe3uVw8v1ddNfpnp85DSgrPw2S7CuPiIusrKkZq3yQIgIgxIcqsWkW3y5QpXLHb7Xp13NfHG1tvL1fncXH6ph0uytRNrrtbV+yeM4cT3KFDfO2mTcDevXplvWwZy22cbSDvOaG3l6aV7m4G4cybF9uF1tas4QyoGvAlJU2eS/QcMVL5NbX9xhvpTjRNijO7ndely0XX/JtvDvXcKm1qtdJqc+21FGAZGRR1f//3tETl5WlXpsVCMebxRGYSzp0b2aLo9dfpCuzsZIzVkiXAz38eWV4O4Md06BDFZFoaP7KODmDRIgoYt5vHUFDAv51OigyXi8focvH7+p3vUJjNmze09Y/Lpd21AN+nvp77SUnhd7i3lz9LS4Fvf5u/b9pEIblsGfCLX2jrmtut+9eOJaw++4wPRXY2xzqZwig+nudvsHV+IsMyhQsPEWNCVMnKAh58kKvkBQvoCnnjDU5KmZm8ARsGb/zBIAWZ3c4JSrlvUlO5Oo+P56p9zhzg889pefD5aDWrquJEoibPnTu5+r/8cr6+rCxGw5l6eoDHH+cMBDAafPFi+pZilfh4RoM3NvIDmDr19NotxSBLllBkmCY/imCQ15kKaLfb6QobbJEFKBiWLqXlLHzb5ZdHPi8hQRcinTkTeOQRiiqA1qTjx7loycsDHniA178Sa+GlIzo7gd/9Tpeb6O+na/CNN4Zaa/bv17UBnU5apnbtoigKL8HQ3U2RGF6qQ4mx/Hy9Npg9m3kaGzbQ4pWezks1XMyuWsW2TwBfl5jI52VmUmCp9k+33cafhw/z8rHbdQKwiltTFfyHw+1mIkE4LS1M8r3iipFfNxHcdBNF58GDXCAuXz52TTTh4kbEmBB1kpMjA1vvvRd47DFONA4Hg5jT0jhhdHdzfu/p0U3JZ87kPg4epKBzOoFf/5o3bJeLq/CBAU4mKvW+tZXBwP39FGGbN7Mo4zl3JQSD9B2dOMFglvnzI5f727ZpIabYvZuNQMN9UrHISHUOzkOmTqVx79//nYH5aWm0stTX68LD06fzownHYqGlrLSUp0O1GLr0UlqSRmPxYoqQHTv42u98hxaXcG/vcAHsu3YNX/dr+3bgG9/QNbZ6e3ksdrte7Bw+zMXJgw/SmldVxctxzRpaloHIyzE+XtcDVFxxBa1AfX0c62Ajbk4Ok3mffppZoX19PE89PcAHH/D8hJfR6O3lGBYtosVQxcqtXj16kk5z8/A9IQdXzp8MVMbmRGRtChcHIsaEmCM/n5NeYyPwhz8w88swOAkcP66rhns8nAyuu47xLFlZvLG3tnKS6evjc4NBCrOeHh0c3NtLcabiYtraOOmd05unaTIq+cgRvW3nTqpRZUkarmIlQBNFrIuxKKPKTAQCFC1nW9O2oYGuQOUO9PtZpPXhh3k9lpZSvOzdy2vOZqP7UsWLLVrER10dRZvDQcE1mqt8wYLTi2/s6OBxq6xjFW+p2g8tWsTvzebN/C5lZ/N/KgjfMPidSkpiHa2BAe7HZuNz331XF1INhfi9yc5mEeaCAuCee7gYiosb3dJ8zTX8Pj7xBMVXXBxdnBYLrdrhYmzmTH4dEhIiz8VY39WcnOFjt8YSwYIQDUSMCTHLlCmsW7RxI2/cKghYreRVTE5cnF6dd3bSktbXp11GqkSG38//ZWRQkCUm8nXKENXcfI4PsLo6UogBnCEPHtRFUgsLqTTDUXUAhBFRJRaUheiDD4Cvfe3suj0dPTp0W3s7FwkpKZz4r7+ei4H9++lua23Vwgigq/Ldd/Xrt2yh9g4v6HomhEJ0Q5aX8/eBAX5n+vspxuLitCtz9Wq6CnfsYAmGzz6jhc8wuKAJt1LHxXEfO3bw+3TzzYxt8/tZu8tu18dWX8/K/tdeGzk2ZdFWdcMAvub22zlej0f3pAX43PBzpkIO336bY7HZeAzhMXLDkZzM533+ud6WlUWrpCDEGiLGhJimoAD4yU/oMtmxgxOcw0FBpYL1q6q46i8v5+Tb2aktYuEo0aV6Zno8nBwTEij8li8/t8c2Yl5+eEflJUuY4aCUgMXCtLmz6XJ8EfDRR5GuOr+fIuihh/i3srKmp/OzN01eN4mJI1t0VKP6cOLiIl3br71Gi64q6bJ1KxcMa9ZQFIUHkwMUTZ9/TqF4Nuzdy3hJxfz5bJWkuljEx9MKVVDALErDoJXpd7+jJauggOcgMTHSDel2M7ayspKLofR04M47+dr164eOY3Cbob172X6pt5fn4frrmbGpmDt3aEuz4uKh1fXnz2c8WlsbXZODwwlMk2uY2lreCxYv5nFddRVFqMqmnDdv5GQMQYgmIsaEmOfaa+kCeuEFevXi4yP75/X384be1MQJQ5W7MIzIxsKBAG/y7e28oZsmXzMwwH1s2sQb9uDA6kljpC7nU6fq32029pmpq2N1z6KisRvyCWhoGLpNlY/YtYuWMuW+ysjg9dLVxYl65UpWjR/M6tUUF/X1fH5WFoWJEm/9/TR2ArwOlXDbuJHixWIZvtRaW9tZH+4pA2tvL61tR49qD3dKio61/O1v6apUbYJUpqbHQwtUYWGkOHr/fYo6ZXk+epSi9b/+i5fm4Jpi4S7X9na6cdV3sK+PYjU/X3vY163jeVJjTU1l8Ptw2O0jhyG+9lpkFuf27Sw0Gx/Pr9lIXzVBiBVEjAnnBXl5DCo+cYIWANWSZsYMxrirGBYlwFRNsnDrmGlyAvF6+b+MDB1HNmUKXSgff8yV+4Qbng4fBj75hAMtLOQsVFhIy1d4vYH58xkkM5jCQj4uUtxuiqieHl3gdDRycoZaadLTKYbChVgwyIzFmTMZS+T303qVmzty9lt4d4jwJFGLhY+ODoq2QIAf94YNdJvOmTO8gJmIj1Xp8927edxdXfyOqCK0qan8vaGBglFlIbpczAINJ/yYtm6liGpu1uNub6fwueyySOuY3U73p0K5TNXCSYUObN8O3HADt6WmMuauro7PnTZtfD0nw2luHlpOo6MjCjGggnAWiBgTJhafj9mBPh9nzAks5BVn+vB3N+zFhoQgjofyUXR5Hhoarair41sGApEtk5QoUytztW1ggMOrqaFbxmYEEW83AdgwMEDBF14q4KxpagKee04rgCNH2GzvJz9hEaolS3Q2ZbhVTADAyf+JJ7TbcccOWq8GxyaFc/XVPMUDA/y7uZnXwr/+KwWJmvS7unjddHVFBnYfPDhUjH3xBcVLuBDcsIGZg3Y7LU1lZcDvf6/jpHp6dN2wtDS+p4pxBPi/sYqWjodly2gRq6mh+AoXfKEQFyAuF6//uDiKxcpKXeMrfPGxZIn+3eEYfn9ffME6aHl5tKTFx7N8hyri/OabFM81NTTm9vbqqvR+P5+vrI+Gwc8D4Hk53RIzI1kWJ8LiKAjnChFjwsTR2cmZSBUA++ADRumqYPSzwecDnngCiS0tWAcABoD2WXjK8nVMm6YbjSu9o9q5hLsp7Xbe+OPiTjYl7w+hp7EX0xObkeJvwZ4DU9HtyoPVasWVVw7vqjojlIkgHI+HJgpVrOpsI7gvYDZtGlqqYcsWupNHsmAWFNDism8fhbpqhu3zMYlDlT9T18fgGKTwGluK8L6TCp+P1jYVh3TTTXSZ+XwUZOnpdP+pfpOhEIuadnRQ6MyYMTEl2FJT2XPy97/XdfkALaJsNgqlrCxedtu3c7tpciwJCdzHokWRNbiuvprV+RWhEPf16af8Hq1cyXpgyvoVCDCUoLeXWZa1tbokRnw8X5OVRevjvHm6m0B1NbOm29ooUNetG/+CqKBg+KzJi9iQLJyHiBgTJo7PPtNCDODd8b33dC+WsyG8fL7i8GGULm3Eeu+UU5mR4Tdl5UYKBrlNibXERE6EJSnNaOoJIj/JjcqOTLi9ITjT2rB/fw5qa7niVx0BLrtMr95Pm3BFOJ7twik6OhiMX1OjY5ocDt3IejR3cnIyxcL+/bqZc1ISf9+5k5YaJeKzs3l5BYM0UIZbhxTFxUMrjWRmRobwKVddfT01eGcnt6uyGhYLRY9KhlWxWBPhFu/qYkmIjRsj6345HBRAM2cCP/whrVqq3ZjDQVGak0OxtH07ExCuuYavWb2alr8DB3huVOaoqi+msjEzMyme8vN1FrPNxkD6rVspRnNydHcCgJ9pdjYtiM89F+kGfe459q8drY6YIiWFovGjj/RXasaMyEQBQYh1RIwJE8dw3XF7engHP1t35Qg+h0tyT2D58in46CNOaMqCEu6aDI8ds1horcjKAhwdXbhmegsGAlZ09MfDgAl/dz9aW0zs2mXgs89ofSkoYMjXvfee4WpbNS4MF18JCcPHhgmn6Oujpaeri5eQ201xtmwZBdV4Gz4rlyCg626lpFAIJCXxUVlJ95nTyf+53dpqo7jqKrrgVNFQlyuyEYLPR0vQwoUUdgUFFGMWC8UBQDdmQgKvx1deoTs0FOJzb79dV58fi507Ga/l8fAyuvFG7nf+fB7j9u0UZGlpfO877qDVLiGBQqe6msdrt/O9y8u1eKms5HH++Me0ZP3t3zLwv7NTV8MvKqKI2reP52vxYn5FB+eWxMfrzgSDLV3qWFWIQTiqFvJ4k2lWruSa79gx7veMF06CECVEjAkTR07O0Nx/l2v4LsmnS2FhZD+ZkxjTCvGNUgZhV1VxAlI1ySwWTjgqiNhm40SiXCgnepLQ4nEiL9GDY12paOt3wWEPob/agMdDq0F1NeONliyha+yMxFheHtPuPvmEaqKwkBHMkmM/KuXl/CynTqUQcLvpEuzqAr7ylcjTt38/jadWK61D4RN/aalui+PxUJxNnaq95xUVvD6WLdOvefVV1tRKS9OxZAkJwP330+rl81GQqHIpu3cD//f/0trj9dKK9s1v0rKk3JslJXyUl7NI6p49fN/0dN1i6YEH+NxDh2jhcrt5/SYl0Uq0YgXPwZtv6rFWVlIY3XcfXXyqUGx3N4Xj4sW8llXGZE1NZFuh3buHJkT09Oielao104YNfO/sbI5Flb8LD7hXjbzDs0bz8vj+4c3CCwv1WmQko/npGtPT00cXs14vbyHHj9OSd9ll53XveuECI6pizDCM3wO4GUCLaZoTEFgkRJUrr2TuuzJPGQbL44/VzXc8zJ3LIJOKCr3v1auBrCzEg1aF3/1Ot0rxeHjzVa4Y9RKnk9tMEzjWm4kMowt9A3bUdKciELTAaRgIBHQrpUCAh7N+PSexnh66RE575V1ayofKKrjQaG5mZH1/Pz+r0tKz3mV4nJiqFJ+YSCtPeBjixo3Ahx9SzDQ10eJ0000UbE4nY6B6eiiC7HYKrPDgfLc70qLT1EQLUGcnLUNz51JLqwb1g3MsAgHgn/+ZQfrt7RxHQwNF0te+xkr2oRBjyT76iKK+t5fXWHs7r6uGBlrVvvxlXrvPP69rZzU3c8wLF1IgDSc4mppomfrOdyiaTpzQgrG1lSLkhRdY9DYvj9mLyhqVkKBj5Do6eNzx8ZGuztxcju3QIVrDVKkMILLchGEwhqyigseVlsYaa3l5vDyUxXDxYv01mD+f65TBrtUJuIROYZpM6FDG++pqiskf/lC7sAUhmkTbMvYHAL8C8FSUxyFMBJmZOmra5+OMN9jXc6ZYLJxd6+s56xQURLQDuvNO3uwPHOBNft48/vz0Ux2crYKPc3Lopmw/HoS7zYbu/gT0B20IwoqgzzhV1T8Y5KSgemTOm8dJ7JlneJhntKq+EIXY8eMsd69m9/37edLWrgXACXjHDoqrOXMG5XP09bE3T2MjZ/zLLjsVQDV7NkXW7t164u/sjJy0GxtZ86qtjcLG4aCweP55iprvf5+f5S23MCg8GGSl+oMH9T6SknQdKr9fu+LUGuLgQVqxwuPIamspvlJSKPCam2kBC4V0hqbXy/6nfj/f1+fTYq2zkwJRWff6+iiEDhzgvlTWr/q9rk6Xc0lKGnkxkJREo2tfH/Doo3zPHTv0R1NZyeNasoTjU0ktHg8ty6o+m9XKBUhZmf7+vPACX2Ox8GsYCtEFGv4VT0ujW3K40iPhZS/CcbmY1PDRR/oyuOaas29fFU519dAoCo+Hn+s5qysoCKMQVTFmmuYXhmEURXMMwgTjck1uKfsRKjgmJQH/8A+0jqmWKSqbbd8+LazsdrqKPPVdaG+xottHk4gJC2DqIH+Xi5NUSwsnoJQU3sxbWmgZ2bdv5MnlomPDhqFBP5s3AytXoqHNgSefjNRpjY0ny1L4/cATTyDU1oHD7Rlw+/oxY/tRZDzyHcBuR0EBRXN4RuDMmRQXa9ZQpPzhD7oPaWcnP7P8fAoX1ZZI9TmMi6NFavp0/r+vTxcZ/fBDblOteEpKIt1vNTVajH34Ia1xClXlPhjUFi9Fc7Oug6diGj0eXd5CiTGLhcfa2srXK6suoF20Dgf3rzoFqCr/AAVMuIVKFT7eu5djD4X4/vn5PG9tbdrlnpBAAfdv/6b/LinhOLdvp2Wxvl4Ludmz+TBNii91zMp6Fr7e8Hq5n/A+sMOhWp9NFuF5ReGEdxsQhGgSbcuYIEwYmZnAz35GF4nHw5IIGRm0hHV0cDLIzeXk3VARBGBByLQgEDIQMg0YhgkDBvx+TjSpqZyY+vs5MTY38/eaGlrJRIydZLiaD34/0NuLjRsdQ3Ta1q30MDsrK+Bt7sYf9ixBUw/NIEaViRum1uDSe1iJNC2NxjKvlxYaq5W77ujQHRdSU/WkapoUB0qvd3To9z18mNadQICfYyjE5gZlZbTmfPophVNKinZtK1T+SXc3r6twQiG64VpbI9/P5aKVrrqav1sstIYpMZWWpoXLnDkUQKEQBeTWrdpi5XbrfqwArWLp6Txuj4evU0VUFcnJFHsNDTqbuLmZYrCoiGIwO5vfhzVrdLsg0+SYVbyWSmBWWaHhGAaF7RVXcN/FxZE1wj75hOcqEOB4br1VJzKca2bMGL78xYTWExSEsyDmxZhhGPcDuB8ACqVwjDAGTqdO7/f5OIEtWEBLQHk5J7GGBsBuNxGCASAE07QBME+Fc1mttLQ5nbomWX0996/cV88/T4vKWM2KLwqmTx/aZT0tDUhLG1anBQIUEU6PB1vqC04JMQAwYeDDz+0ou4PiKz+fLrpwl5XqTapcarNnc39KCLlcuiF4URF/hkJsNB0IcH+q1efx4wzUv+wyWjvj4nRR1MJCCp+UFB3c39qqCws3NlIouVy09JWV0WWqLF42G6+j1lb+VONVzbfLynhc06bpkhvKipWURAFktfKRnc1rMztbe+h/9KPRP5aMDIrEzk6KMCVGQiGKozVrGJcVDFI4tbToWmxdXTxmJWoLC4cXM21tPGZleV63jvFgBw/qpAmA5+mFF4Cf/nSo0D0XpKTwc373XYp5i4WfebTEoSAMJubFmGmajwN4HACWLl0qhZmEcTF4Ja8mNpXlZU9JQE4ng/eDpgmYIVgMA1a7gbg4nXUXCnEiU0VDDYM38oMHWUD/n/5Jt5a5EDBNigcVmzQulB/r+HH+7XKdqgQ6ffrQWJ2UlJMutpkz0eBuHrI7f3ImmpsppFaupHtMCS2VE+JwMLD+gw+4fdUq7vPECcYAxcWxIrzK2HO7adXyeiPbJLndtFwdOaIrj0ydSqG1Zw+vmRUrdIB/bi4//z17Ig2CKSnMhKyo4LWh3J39/Vrw9Pby/W02vseVV1K81NTQypWby+tJnUarlSJo/nz+Py5OB9oPbmE0HE4nz0F2NoVRIECROHcuP6Lduzm2w4c5zqIifW6U21W5eFNSeN5ffFHH5s2bx1ISyrrn8zHLs7iYn9lgVOmPsVpZTRaXXMIxNzfrYryCECvEvBgThDOhqIixRQoVr5KRQaHV1BQPS5qBkjg3jre5ELJaEbQ6MUDv2qmimG43RZmaqE1TB2Dv3Qv89V/TMnC+Wcja2mipycnRpRsaGznZdnRwgl2wgIHvY5YYiI9nXYWGBj2rn4x+X7WKlqi6Ov3U2247+Xnk5iL7itmoeqND1x8pKoIlJelUPFRiInuSHjyoa1WF/+/rX6e1o6VFFyhNSKAACcvvQGIi31tZfxQqk66ujgJJuQltNk7Yubl0GRYVUbgkJlLMfPJJ5L4TE1kAdeZMHkZTE98nJYXWpQ8/pBDKyuL5LCnhqZo3T9f32rdPCzGA+2ls1D8DAYqzq64aX3eIRYsYFJ+ZyTGEQvy8B9dnU3XYpk3jc7u6KOSuuSbS7ej18m+Xi4/DhykSw0uMhEIUt4M7GihG2n6ucDqlBpkQm0S7tMWzAK4EkGkYRj2AvzdN84lojkm4MCgtZXaYaiCcn8+JwOnkRGi1AugPwRHqwczpLejsd2BXy1SEQg44HAb6+jixqIbQgwmFOOG6XMDTTwP/639FBi43NrL22c6dnKjvuisGsrZOmvY++CAy7mnRIoouJcTUU8vLKWpWrhx9t11djOFvaclHXh6wKle7FZ1O4LvfpcWqry+yAjsArLhvPvb7BtDd2AeVxrpqVaTVwmYb3vqoSkjY7RTDK1eOXEfXZmNy5/PP622qeClAd5UK4Ffi2+djAHsgwO0330xRWFtLkdXbezJJJL4fqKpHZ18ISVPTMGtWNkpK+P9du3gOCgsptLq6eC1WVfE9PR66zY4f5yMtTVt1TZPiMTeXVh2VUVlSMj5X38qV3Pe2bRxnTw/F1JEjPF+LFvF5JSU8h34/hazqBjBvnt6Xx0PrmsOhsyc7O2kQHbwQSUritp07Iwvu5udLiyJBGIloZ1N+LZrvL1y4GAYzu1aupFuloIDut08/5d+33BzC2son8drOqWjwJKO5JwGNPcnwWFLgTHGivp6WgNE6Fqlg8W3bOFmr1i0+H/DrX7OelApeLy8H/uZvaG04p4RCNI/s3AkEgziRvwybjlwN2Gzo7KRI2rePE3V48LmisnJ0MdbfzybeKlutro5C44c/DCsv19uLvNZqzuSWEgDa1JaUBPzwJ3HYuzcObjfFlBJIY/Hmm3QXKmpraSkbKSh72TJm7T3+OIVPTg6FUno6cPfdwEsv6ePo79etkgBay44do4AJBk+dTjisATTs7UNjigX3Ld6N8r1TcMRqosuRA7eb4ichge9tt7NOV2cnrXsuFy2r2dl8r/Z2XlOqcn8oxLElJvIaU1ma//7vwC9+Mbar0jBoRVMN0auq+B4tLYzrUiVGXC7gq18F3nqLz3O5+LrwemqtrUPjxXJzec7Dyc7Wmaiq5llnJ8XZ6tWjj1cQLmbETSlc0GRn65V8UpIO7MaJJqCyFfcuakd5cy6+OFaIngE76nwhDKRPOeVmUu7NwRORakIeH8+Ju7eiFqnt+wCHA4filqGyMu1UrSlVauO55+hemogauOPm888jzGB1G48Dniq0Zc3F/v36aW+/Ta00WAiNVRBz796hZQPa2yk65s8HfVkvvqiVREYGi0qFVVl1OoFLLz29w+rr0w2oFaZJATxahlxBAUugKAtXejoFltNJAVlby0bXmzfr5t6qnVZXFz/PhoaTjeZ9QJzVh4GgFS29LpRlN+OLuiK0tvXDnBpCIGCB1crzk5xMIdjVRRE1bRqPobKS+8/N5ViOH+d1OnOmroKvrGeKUIiu2ZKS8ZWt27WLn214fTfVWkoVkJ05kzGQqmjyYNe0EoyqrRhAcfm1r3EMra08t5dfrr8zU6bQIiwIwtiIGBPOD3bs0P1jFi/WkcVnSnIyYLHAjhCW5p3ArJRm/L++5Yh3pmBPd2RtK1UTKhAwYUEIpmkCpgUWA/B4LEgJtCPu1ReABJaMN9vq0Nv+DXR0xEfUMdq7l8HDqkn0EOrqaGorLtaR2meL8tOeJCO+DzjSgrq+2QB04aeUFE7+oZCeTC0WxmCNRniV/HB6e8GdvfUW/N4gdjflo8GdhNzEHlySvx6O22869VyPhwInKyuydtZImCatLcHgUDGiEjQOH+ahWyy8VMJdaaoocLgbTm0vLmbG31//NYWS00lRsWePDmtra+N2hwPIMnsRZ3oRZw1h4/FCZCf0IT2+DoFF2eiDC3v30mWdnMzxuly0OBmGLsehBI5h0L3e3c3rJDubFrXBpTRUhmR///iqx4cvJEIhWtlqaylc58zhsebk8P0H95ZUJCbSWvbRR3pbVha7UUQ7DkwQLgREjAmxz/r1wMcf67+PH6eJ4myCsBITWcVz2zbgyBEknziBOwaO4r9DP4DTkofcXAe6uk6KClAkGAM+GL5+dHpdMBGC0xIEfBb0NnYhK0GrktkpTUjua4bbXRTxlgkJtHQMEWM+H8v6q+jtuDj2/JmItLNBajVpOvAAACAASURBVGVmegeK0rqxpTfyVGRlcfK/4gq64xISKMSUpSwQoKuurY1iYtYs7nrWLBrfBr9lSQmA7m6Euj34711LUNGaBQMmUuN9KH/BxPduodDdvJnB7UowLFnC2KyRLD41NbTitbXRvapqZSnmzGGc19tv62379w9toTQa8fF0sb36Kl16hw5RqPr9rJCv4uESE4FEqw1wh2AxTExJ6sGJnhTYXHGwpcXDebIOl7JqzZrFmDBldVKFhcMTDSoraa3Ky+PfAwP8vb6el0VhIf+fksJtqn/lzJmMiRtOGC1YoIvU7t3L40lM5Fdozx7GOz7++NjnZdUqvs+RIxRtc+eeYyuvIFzAyFdJiH22bBl+29lGxN94I80QFRVAbi7m5Wdi9sFm2Pv2ouOqpaiqNtDdTddScbGJa+1bsLEmF0c70+EN2BAyDbgsQfj9BgIhC2yWEIIhA1UdGSjLaMD21iIEApxEU1M5qe7fr+N4TrFxY2Qa3cAAe/b89Ken3S3Z7abAUW6jFaVL4NygzRmGAdxzD9BVZ8HWrZyUc3P5Nvn5w8e0+f1sbB1eoqKsjAInP58lDz79lM9zOIDrrz/p/vIn4q2aUvyxfCFaexPQ57fDZfdjedCNyw5Q1H3wAWB2ddPElpKCnTtdKCmJ7B2p6OsDnn1WB4XPmMGPLiGB4qSsjPFtv/xl5OtMk8Hn4xVjPp9uVVRerstoADyvOTkUqRSQqbAF+rEkvQbXzTiKKs8UuGfOOaUmCwsZj5aXR/djeTmtS6oB+tSp2kLm9fIRnu1ot9OFO3u2bgNlsfBYnn1WxzRu305r2ne/O/R41q6lmN61i0I7MTGyv+Xhw7RMjmixDSM3N1L8CoIwMYgYE2IX1YOlqoqmm/A0vPAGhWeKYXBGDetIHDStiA/1Ij/ZA2NW8qnyDw/9MIQbdn6BA423IjvMCgaLBUkJQJ/fjgT7AJ4qX4hj3akYyMrG1KkUEFYrNd/hw5zYf/Urtn5RVd2HREEDNMm1tET2uBmD/n7gv/9bT+7V1UBl7kp8f00Qll0nGxQuWADbNdfggQAFzLFjfG56OktODMfevUNrhe3bx65XKk7okksYg+TzUXyaJuAL2vFaxxVo9MTB7XPAhIH+gB2fVSWj7B3g+muCMPdWMMhMUVyMmpppw4qxQ4coOIJBnjsVGF9WRoueEhjDtb4Zb9ubYJAtllRBV7ud1qbZsymCZs+mELvySuC994CGBgvmzcvHuoUWOOKn4BuOQrzxrh0NDRzfmjWRwnLRIo63t5eiqLqaFrgTJxhHtnDhUP0dH8/rZe9eCt7SUorLwckldXXM8B0slqxWVui//np+lQZfbhdiu1RBON8QMSbEJps26YqeXV2cQRYv1n4YZao4WwbFZs3PbsEnNcWAzYa8PFo0iouBL91qBfpKcE35Ufxp3wL4Q5wxrYnxWHSVDUnJBrYeycMLB0rR7k9GqjUDwSD1lGFw4gwE+HtHB11zX/nKyTdNS9OFuBRW62l3It+zZ6joaGwyUL12DWZdtSZie7ydrriWFk7weXkjT8qDi+srWlp0hXavF3jtNd0+JzubFc59KdnotwVhBkKn2hv4QwZ27wa+PPdwpBADgJoaJJpp2LQpGfX11OCXXspz98c/MjsvLo5CpqyMAmnTJopDp5PCsLg4srArMP5K64cOUYgB3J9haF2sCr5mZdH9+OCD4a+kaM4Bm5MPDNCFN1w/RquVbr6qKm3dSkujYG9t1S5Kxbx5PN5wQ3B4yYhwRtoOcCzr1gG//e3Q/Y/HKiYIwuQhYkyIPXw++r0UJSX0R9XV0TRRUsJZZSK49FLu+2TQ0qrCOvRkFmFXsgvBICfdUxajL30JX+58He3ealS0ZKHGl4dQWjp6bFa8NvNn+NXrPhzudcAfsqF2nwGrlVY11ZAaYB7C4cMUEKEQLTp5K1dSBajO0AADtsaIzq6ro0hwOCiGDh/WXQLCGc0qpDJNR2OkiTp8+zvvaCEG8HfV5zEu3oqBoDb3qFpWae46FKX2Y0NdIRrcSQiZBqandWL3F93Y05KM5mZtjbJaWTG+q4vWq4QEXZBUuR+9XhZjvfZaHnN7O4Vmfz8fmzaxIn14IdPBhHduiIvjMaoyJwDXAuPxjo/2HootWyKtW4ZBUZaeTsHu9/PYFy8e+tr583nJhJOaqsXxSHz1q7QcvvcehVtpKfDII2OPVRCEycUwRyukFGMsXbrU3BFeVl24MGlq0sv33l7OWImJjHT+9reH9jFpatJBUqd8f6fB0aOM2+rpodC74gr4jTgEg8MnNQY73finRx040e5ARgZdWV98wXggVb1fFYx1OGjpcDi4e4+HE3V8PPVkQQHwgx8AGZZOKrXeXs7Ao1j+QiHWxKqo4NDr6igaMjP5u7IYAZzgf/zjMzstp443yHIPR47obStWROrhf/zHoeU/QiG69H71K348wSDPVVER4+b+du1mbP/jAfx+92K4fU647H7E2/w4aCuLOPGqE0JWFgVKZye35eVRqITHPwE8dV/5Cs/Ns8/yNUqg5uezWcBwFiuA7sLBwextbXyf6dPpjj1Ng+WIPP74UPcvADz8MI3CBw9ShLpcwO23Dy1oq6qW+Hz0Zt9229Dq+iPh9/MxnmxMQRDOHMMwdpqmuXSs54llTIg9MjI4W+7Yoc06CQnAvfdGCjHTZMCNKjhlGAzmWbNm8B5HZ/r0sAJkxI7IELVwukLJCNl1bE5tLSd+VZFdlcUAOFE2NXG7aqVktXL7558Dd97JAqLXXZdGk844qKykEOvr097NhgaORzWmzsnh+K+//uyEGMDx3nMPj7G1lUHpg11pycm6V2MoRCtdayuPc9UqWrW8XoqGWbOAW28F7HMXo/zXPhQkewAw0KvBMhV1tU4UFGjB5PVSyFqtuhCq6u+Ylsbz7XZT8CYk8LgNg+dpxw4K4PAac4cPM46ro4Ovy8/Xn3VeHq2V69drK+Ott477ozkt5swZKsZycng9HT6sY8f6+thq6ac/jbwm16xhwoLPp6vmjxe7feTre7LYto3XeiDABcPq1aednyIIFywixoTYw26nJSw8EjsUGtr9++DByMqfpgl89hl9L+H1AiaY8HR+06Qby2rV+QDhhEIUExaLroulimc2NZk4dMiA3c5JuLR0fKUC6uv5c7D70e2m4Jg7l8H1OTkTVwPKMBh3NVLs1RVXMAEU4MeyezctSFu30hX6jW8whsztZowS64k5EVixEjjQfMqXmxKfBXNQvFcwyEuhu5t/nzhBQXj//XTVffaZPq/Z2dTsPT0UMEogdnXRcrl8OUXYyy8zzgzgOfryl3VF+7VraQFrauI5PFsxOxJLllBEV1XxOsnOpjgPr+Ki6O8fvvWQzcaH283j27OH5yszk59JrLQf2rqVhWoVn33GY7rhhqgNSRBiChFjQmwSCHDmbG+nOMvM1N2SlWJRqYDhmCa3T6IYS0nhxH34MCfRQIDWmq6uyErpgHaPqWKqpgn4fSEEEcIATOz4uA858cCrr6ZgyxYG1cdZg0BFBYLHT6B6oBAD00pQMtd2ynOXlcWfg60hyuVUVDT+lkLjYWCA4iatuxbG1i0UTnPm8PM5adq45BJan3bvBt5/n+dDjaelhdu6uxlYHwzypevWAQsusePTbh3olAiKFNUaCNDuNMPQfSODQX4GTz6pK+NnZVE8tbdTSKl6YIpgkNY6j0cLMYCi4JVXgJ/9TFuLUlN1nN9EEwiw9dDevbwu8vJYHkR9ZoPHrRhpe2Ule25u26b7Ty5axHN9//3jd11OJtu3D922axePW6xjgiBiTIhVEhM56YdHibtckXfukcq1j1HG3e9noPfBgwxNWr58+CDp0bjjDu7j0CFdMD8xkWKkpyeywbiy2jB2yQTMEGCYLP8wANRsaUFjdwLcbhvK95hYVvlndB1owB/3LESntxlI7odj+SJ87RsWFBUxeHvbNlqIcnKY7ZiRQQtOTo5uAD0RrF/Px0BzJ1IPV+KWWc2YntapswfC6mGUlNBd+cwzkVY7n4/nyeWiJQigK66ujiUbli/nxBwMMlzuoYfofV6/ngLW7aa27u/XpTMSEhhz5fXy3FosFGDbt1P0LVlC0VxQwFg3j4fC59JL+bn7fLrZdiBAAXfs2MiNxieSzz+P7Kl54gRjDpUYW76cQi08M3LOHC3CwzFNWpw6O3X7poEBnt958+gWvPHGyTqS8TN4kQLwvIdCIsYEARAxJsQqq1bRXBHOypWRqYILF1KVtLXpbTNmjGkWeu01VlJXvP46jW1lZeMfnsNBF8sNN9Ay8/yzISR7GtF7zI5mmwtufzx6+60IhfhcJRiCgRDS7X0IwUCfPw5Ww0RXfxxsx/vR4U7CkvxmxFX14P/btRbH2+KRE2hAnvUYfD09eMtYhIf/Jhk2G/Ctb7EeVlWV7q94ww2stj5SJp9pUtA4nSMHsIdTXc0SHEeOAFVbggj0luGL2qn4w62vIdk5QMVwzTURJhuXiwKookLvp7eXViZVMgLg5NzWxryJwkJa1eLi6GJNSuJYnU66FFVvxowM/VYWC89rczPFhyqY2tfHel2NjRR+mZkUJi4X97FlCz+Lvj6Km7Q0Pi8UosC7++7hC85OJOHnRnH0KD+b+HiO63vfY/Fet5uX9Ei9O3t7ef2FxykCWgyHJ+hGk9LSoW2dZs8+93FrghCriBgTYpMFCzgz7dzJmXLBgqEl1B0Ozlq7dtH/NHUqBdoo9PUNPxlu3356Yiyc1FTggdzX0ZZXhS9flYbPjxXh09piHAlNg81hR38/hYbHA3i6QwjCAofNj2DIgNViwmLQhBYKAbt3BlB1Yi6qWlPQ1R7E4cBcpNimYga64f/oAHp/cAkS0h345BNm3HV0cAyffMKYo6Uj5OxUV7P8REcHxc611/KUjkZFBS1au3cD/i4HELSho9GFRz64Dr+5+W1YEaKCCBNjSb1NuDarCUjKQMNAFgI2JxwOWg8Hl2IwDE7Q4UVIX3mFYmrDBt2UICmJViuXi5eE1crEhIYGiuiBAW1Fslj4cDopxNra+ByXixYz06RFLhhkDJZh0E04bRpf/9JLDJSfzCzD4cSyzRZpIcrOZuLAWLhcPP0qU1VZoNRHMrj/ZrRYu5aXinLNzpoF3HJLtEclCLGDiDEhdikpOdnkcBRUpc9xEggMrVwODO9GGTduN7B3LzJdJjLRhuXt7+C+7CCeGvgqdmatgyUzA9u2UYz5/DYAQSTafRiw0G1psVqAhASkpgJt/lQkAjAGvGgeyAZgwDdgh3MgDgNNA4ivq4SZtgBvv62FGKATS++5Z2gsWU8P8Nxz2nri8fC5OTmjxxPZbIw78vvBmf5kR+vqznRUtmdi3pxQZGzewYPAiy/iFtNETnYBKjsykbBmGUrW5OGttyiCVGPxuDjtvmxtZSaoGsv69TpJQbmyMjL4UV91FRNmV68G/umfaEXq6eFEbxiRAetpaUxoKC6mC/PwyRqzwaB276qkCmUNCwQoXMcSqmfD8uW0zoazaNH4apMNxmKhsH7tNV17zO+n2Fm7dmLam04ENhvF5Q036JIvgiBoRIwJFxXJyZyw6+rAWaG9HfB4UFYCIDRtfP67wahaaKYJ7NsHo78fmXHAjzNfxjsJFvzLgdvQ3My0RqfTQCgQhzafgbkZbbC77Jh+SSYSsixwOIBDhxJR216K2m6gdSABQVhhNUJw+myY5axDZU0CAlYdexVOMEhr0pw54HFVVQGJiTjUMweBQORX3TRp+RpNjC1ceEp/cfYMBmEJ+BAMGWizZQN3rop0G3/8MRAKwWoBLp96HJdPPQ44TgCLf4jkZIqpzz7jrlwuCiSLhfFOnZ0UEaqkhWnS2tXUxNPr81GUqXJyFgvrcdXW0vqVkEBNHAzqwPu5cxk31t6uJ3+vV7c4Sk3lfuLj+V4q83Sya28tWsTTtm0b33f+fHrlz5SFC1kypKKC2ZhFRbSsxaIL8EwEpyBcDIgYEy467rwTeO1VE0ff2A97ZwuW5p3AisNHgWeKaVo6XUGWk0OVd/w4TTQnsWWm4pbCSvx7eQ9SUuLhdlNkWK0WAA5MXZGPhgagoRNoPsSJ2W4HGpuz0B8KwmsCBkyYhhXt/fHY05KH336cheRdunVOZqbWQzk5J3MXdu5kut5JE6DdOxuw3DFkJhxrss7PpzXj+eeBgQEDPmcCQmY8uhOT8EFSEaZ6DURUWhjc2gg4Fc83Ywbwl3/JjMX6esa7hUJ0gaqSFcePU2jdfjvwu99RS7rdOpYqIYHGt2efBf7n/6Tl6y//kuPbuFFX56+qosv5S1/iuWls5KlISgJczhBcQQ/Q7EW6wwYzIQUWq+3UqcnJGVJyblJYuHBMj/ppkZ09vm4KZ0tLCz+vqVOHL4gsCMKZIWJMmHxaW3UH4+FSws4xycnAt1Yega/qNVgtJmyWk8XBjh5lnYDT7XtpsTCI6bHHaMZxuTgznuxNk5Y0gGN92jWnXuL3U1AcP85TpAxswSDg81lhwqQYC5no8jnR3ZoA514LLBYKKRWQn5hIEbF2LfD+2wE0POdGRtxiXFVUgxnpnZhrr8aHTTXoydc+K4djfK64Rx7he7z/PseVlAgsmOaGra4brz6ehL/4RSYs1pNqsLBwaLkRFYwVdqoKC/kzFOKpPnRIB6EvXcpTmZUFfO1rPEdWqz4vwSDFwJEjPIakJLriPB42DVdxVyoBAGDThuZmwN0Vwr7HPsDzGwoQZwuiINGNgNWBtCsWISsvDoWFdH+eiXH0QicYZDzdwYP8226nUB8cxikIwpkhYkyYXN59lxUfFcuXx0alx+b/n733jo/rOq9F156GGfTeAQIECwD2XkWJlEQVipItWc1WZMu25B73d6+Te+Mk7920m+Q9JzdxItuxYllxkdUlkiqkRFEUey8gCRKFRO/AzGD67PfHwuY504ABi0SKZ/1++AFzcOacffY5wF6zvu9bXzdSLKHY7V1dkydjJ08y87ysTMtGr6nhqi4EnnzKjO//bxKEcFjLWcrMpErkdI75jwX4ey3yJxQdgz9khmks+byqSvM0y0wLYm5dCKtvTcFzzwFtTSGkDk7BzPx+dDrT8ZXFB1CY5sYTc/Zja/FMtLeTJ65dy/PHoK2N4cbubqCsDGm33Ya/+ZsiFBUBjadCyGw5ArtrBHABI+eBnme9KP7CWF+ku+4Cnn2WrBIgS7zjjrhTNnMmK1rtdobtOjpIVkdHmac2PExydXBMBQyHKbLl5PC6f/MbjTSdPMnUQr3S19urKWrAWH7c8FlML9mNdRvtONRZDG/QgrqCPlTdHpxU3uGNiAMHNCIG8B68+irn3cj/MmDg8mGQMQNXD62tkUQM4OtZsz5+a/Dofj4TbU+EUIhliqEQ2cGSJcwAb29nA8c1a7BhTjFc6fTfGh6mIvWd7/B1s85tXpG1+O1iqZCN9AUxmm9Bb58ARj1Il01I6zmDv/39XPSYyyBtKcBILnrcabh9ahOOdBXh9pom5NVk46ENE1zLyAjwq19ppYmNjSRn3/42KirsGD7RCfg0AzGTkAgdPY63f7cUQ6ZcTJ1ajPnf+g7MTY3cIZoh6XDXXTzdhQuaMjhrFonVyZMkUdXVFCq7u7X3uVycWr0hayBADqyv9VA5ahEY6+iQbfdibXVLzHYDiaF/ThX8fj4eiboyGDBgIHkYZMzA1UM8h3yAK+fHTcaqq5lYpLdir63VeuLo0dtLhmCz8T16K/ThYc1tEyADmD2bUszXvnZx88MP80uPuXMpQimPrFAICIclTAhDSgFAlxw/ppF5vALOtiFIpCHo9qPLKzAoqtHqyYHF5IYli2Nwe4FT/Xm4U54jM0kmQ/z48Qin0QGPA4MDdpQdasDKlQtw6mUn9HZWtfm9eO7YPIx6AkARla5z56x46KGJ/RTS09mwu68P+Od/Zg6SHj09nMqsLCqBIyOsyJs2LbJmAODvz57VXgsB3Hpr7H6oqeHGaLY7UcWugYTN0a9U03QDBm50GGTMwNXDJTrkf2R44AFatXd0MJ+tujp2BT9+nCFI1XRy+3Y2P1RdwjMyyBq83sj3JZFNvXEjhajWVnIgi1lCyiDsliB8fhP8sEBCgLSMBCLN6oPN54TLJ+HxW9BpzoM3bMNIMBUOsx9iJAxLRipS0izwpErMeWQWcOsDyTWpHPO+kBJ49fRMHO4qhoSANZCPe74KPPm4H3t/2QF3wIaZeX3odadiNGCNaN5+8iSJVLLJ5NnZcUgT+IjYbByLak00fTqnPdonLisL2LCBXDoQIBcuKUlwsnvuAbZs4Y4mE8OTH0XG/nWOZcvY+1JXn4LZs69q1zEDBm4oTEjGhBCpAL4PoFJK+aQQYjqAmVLK16/66Axc36itZR6V3oehrOzqWJxLSa+AQ4f4ev58riDxVno9xmvkGA7TWVXX/XvUGcKBnx7H0OJiVFcDs2ZZIW69FXjjDe19DgdDlOfOkagkYCZWK3fLyiIfvHDSCXvQDZ9Xwi1N6AtmwidtY0SMBrGhgIQrLDAQSIVDeBAKSZhECEGYEZBm2AD4vBJhacGGx3JQdk/iLtdSMhLZ10dlqmLWLGD7dhzvyMOhrjE2YzIhkFOE114DvvutWdjYcQhoOQMAeP5EPRXOKC+IoaHkyZjFQg4cHQarqyNv6unh8XJyND65cmVkZNFsZp/LpPpxLlrEeGh3N1sX6IikgcTIyQG+8hX+iQ0PU2S8km23DBi40ZGMMvZLAAcArBh73Q7geQAGGTMwPsxmlrIdPkx/gZIS/ge/Gs3oPviAMT+FLVtYunjzzZd+TI8nosmiy2/Dzw4sxDDSAMGk5sZG4NOfXoJwWgbO/nY/PNZMTFtZjrRnn9XUspkzgQcf1Bqc65CVRTJSVQXs7nTC5wrAKocghB9dgVy0eIoAIRCSJqRa/LDJAIQwQZgFvKEUuMMOCABmEUZAWpFp8yG1UKCggJ2KEiEUis1ZW7o0D3c/+CDO/f1YzC81lXKUzYZgEGhtt6D+858nyezvR/XyGpzYHSmNWK2xIceJsHEjE/J7e/m6vJxGplYrRcgXX9QMa0tL2c+yuZkKWUoK+dWkUv3s9pgqTwMTIzubjb0NGDBw5ZEMGauRUj4shHgUAKSUo0JMJDcYMDAGmy1xY70rib1742+7HDKWmsoVaGgIALCvvRTD3hQgiwaoMJtx5AiwIP0M3vhJM3pd5YCUsDx3Ap+5yYrasjEydvo0xxKnYm/1auCFF5QLvMTJgyFUpg8i098HmyeIVLMfg8jCsNeOPJsLrkAKLHYLzB7AH7YiLCUkAClNsJsDEFJiZnY3Zi/NhsmU2Ajq2LFYNWrvXmDhwlpkPjoTeC+2g3NWFjjQadOAadOwIAQ0jWhhQ6uVxCqZiKgeubnA179Ovm42RxrR1teTqJ47R58xFUmur792Wv0YMGDAwOUiGTLmF0I4ACatCCFqAFwj7WcN3HCQkiuz08lcH5VBHK8j8uV2SRYCbQs24vgv9sAa9uH8KTfQ3USFb3SU5y8uxlv/3oxel+PiOYPeEF7fV4TpJS6YTWPJ4ufOaWTM42G2ezCIOXV1cDyWxRacNcV4Yv5mZDQfQ9qpA8ixufFnw99HV9iHM65ymFIy0ddigQyHEJZACCaYzEAYNO2yWAQspjA62sIo2tUI+blaBIPWWEEuEEDHvh5gKI3zp/ts1dEBLF4icOADH9wnWjjPaWmYtq4CZWWR2dpmM/DQQ1oosaJi8kRMN9UJ1a3U1EvvG2rAgAED1wOSIWM/BrAFQIUQ4jkAqwB84WoOyoCBuPD5mPGuctBMJkoxCxZQJjl8OHL/WbMu63SH9gbw6h8yIc2rgJPH0NXqg90WQnZPD/PIzpyB2euG52w7EMhgieCYlYPLLTDgcaAgbawZoyKN3d20n1eZ0G+/jWkPP4xpD88ApBkQGxFsW4Ij72zEKx/60XEiB12BXAxZs+AcBsw2D0Q4BJMAHJYAArBCQMJmDiIYFnD6bHD7rcjo8uGV/xjAu9OL8Nhjuhyu8+eB3/wGReeygTMzOea5cy+68xcXA5l2P54y/wJ7UrIxEHagKnsIi4c2Ae5vXGx86XSy12NKCqOwE+WIDQwwOni1Ww0ZMGDAwPWIccnYWDjyFID7ASwHa+2/LaXs+wjGdv3iwgUuevn5zLkxLL2vDHbvjiwGCIdpKltXxwxu1XkaIEMYz1y2tZX72u0kc1EOqOGW89j2F2ch3SZmuA8Po9BuQlcwH9kYBQYGYJIh3NH3Hi6EBQbdU2h2mp8PpKfDJgLITBlT5mw2YMVYyuXWrZElaaEQ3TMrK4HTpxG22PDs0H1ots3G7hYBvxVIywZuW8a+jqa8VPhHrZAuiVG/BQGPCTYRQNBvGqu3DMNhDaDHnYbB/hBQxPS5xx8HVcVXXgE8Hswt8uFQVwnaRkCrkRkzMG/emDp1+CSygv1YX6Nrb+QHcPQosGIFTp8Gnn9ey+PKygKeeCLS+0uht5f79vTwz2DuXPLnq5E2aMCAAQPXK8YlY1JKKYTYJKWcA+CN8fY1MIZNmyLzl6qq2O8wTvK2geQQCgHvvgsc/kU60L8SC4o7sba6BSYx1k26u5sJ2Q8/rBGd8eJlH37IKkmFXbuAL34xQt7xvfgGnO46EhiXC/B4YJISM7M9eKjgXQwGM1CV2oPM0mJU5WWhcacf3rCN8bqqKty80Y6UYhOr9ZYu1TwAOjrij2doCLBY0NiditbjXRgty4Tfz7id281agLw8csb5861obGTNQnoG4HWb4PSHkGoNwCQkTAKwmwM4csKG0vNN6Mqz4LMbc9DTA7y9tRwdzjoUp7twW/U5OP0p6LUMovKxGZp5Z6Lwrt+PcJiFo0Gd4djwMO/Ppz8d+xZFxABy58OHORXK9iwUYtOD9HTDs8qAAQM3LpJhCAeFEEuklPuu+miu35FE2AAAIABJREFUd3R1xSaSt7TQq8qoA79kbN1KvgJzFuB3Ysf5KQhLgdtrmii35OQwJ0v5hU2blvhgfj+9wvTweoEdO+g7BgAuFxwj3ShIrURvs4v5YYEAEAigMrULFfZeVFgGmehUVIRCqxVfz2rBocZ0eExpqP2H+1FVnwpgcez5i4sjHUr9fh5/TCoa8JBEpgx0QYjSi/6kfj/JmNnMS87PJ8/PygLS0szY/0EAodEgfAEBk5BoG8lEm9OEocwgSvpc+PlTezA4ew183akYHXSjPeRAS3c9frD2AObMygT0U1ZbS7Ia0rWLEgKoq4PTGVFgehFtbbHb+vs1IqZHQwPJWGsr+x06nTz8nDnsd2ioZgYMGLjRkAwZWwbgc0KIVgBuMFQppZRJtBm+wRBP9VDbDTJ2yTh4cOyH8nKu7n4/DnaWkIwtW8Yu1idOaG+YMQN45JH44eGRkfjKj/JVAKiqORy4J383fnOqAt6UFCAQQHZaALel7wbMDvZczMggAQeQmW/Dzfl+YGY1UJ84Maplxnoce9sOa8iLBcWdKHKEGMoeS6Kfkj0MALBaJMrKNJKjnOgLCkhycnIoBk6dyst0Ou0YGrDBLII41wgEZBgppiCGvHZUZg7jwLkcpAyeQ393Fs71VsAZSoNsB/whE/7yyzNhDmvTNRjOwhbHF9G0rRnZGMbNdT2Y/fhCoLAQ6SHmfY2MkDSp3P94OWN2u9YQXA+Hgzzv+ee15gVSMgpaVsZbasCAAQM3EpIhY/E7/RqIhXJlj4a+Vt/ApHGxe43dDixeDHR1QUoP8Fg1V/tf/SryDWfO8CueuWxODmNi+hZGAEsBXS6ahw0OAmVlmHL8TXy3fDcaPeWwIIjp1UGY08Y8w+6+m/s99xxzygAypXHy1PbtA954JQfIXAu4XNg3BDz2uSxUn95yMdetNMOJlRUX8KHjVtSUkO9lZgK33MJLLyigkGc28y2vvkrRrq4O6OszobPThux0N0z+ILJSvMhM8cMdtCEcdqOzyYPzvgr0wo4QJEaDNvz7idV4/3EH1q9n8/CbbqL/WL+rDFhSil6/Hy/YrMjINmEKyIWHh4GdO1mrUFVFA9Bbbom93rQ0ql1HjmjbhKDRbWdn7C1Qt+6aJGNOJ2/g0BAZ8Ny5Ri6oAQMGrhiSIWNx2xYbiIPSUipg+qq+8nL+4zZwyZg7l+sgACbDV1Zi3jIwtLZzZ/w3dXaSjEnJsGBrKw2t5syhtfsf/qAlPuXn0zn06acjY3AVFUgJBjHbHKCdxVgl4UWDq5wc4Bvf0OSr8nKyjeFhKm3FxRf7WIbDwHu/bAJOtfGF2Yyhkhn4q3/NxvSqB1AyfAy3Oj5EaWEQ679Wg4UzStHRQR4fzeVVA+w5cyiqXbjA5Pm8POBP/xSoLBA4u3Pw4v5hKVDgcGFkNBsjIykIm8xwBVLglWbYwhLNzSwO2L8f+PGPmYJXUhTGDFsLUt29aB3Kwv+zLx13f6kUJ0+ZYLVyunp7qXDddVfizxv33stxnToFpPqHsLy6G9PyizAos+O2idS3/bxmMDLCZ0Oxx6NH+Ux95jMf77gMGDDwiUEyZOwNYKwfC2AHUA3gNIDL8w34pOK++7hKqmrK+nojCeYysX49F22lsMybR4d2AInVSLX9tdd0cU4Ae/YwWf+736V9vsPBHLP3349NhrJYKOMMasQGdXWRfXeEiLScf+cdJriFx+J+Y3KT7+wFuE+ev7ib3y9x5EM3TFUBlJVZcS5rIdrtC/GtJ8n58jGW8x8MAsNuSmRxlBi7PbLP9U03AXv2pMLVk46us25AShSkebD24UIsPXUBJ18sgT9khoSERUgIE+OMp05pipsFQXjOD2LU5IbJlA5rmhlmDGHbryXOeiuwdCmHozoJtbTwnsSD2QysWR3Gmp4XmTvZB2C/QM66dZg16yYcPx473dcc9u6NlfGOH6ehcEHBxzMmAwYMfKIwIRkbq6S8CCHEQgBfvxInF0LcCeAnAMwAfi6l/JsrcdyPFUIwbnOxNM3A5cJqpZi1YQNfR/R/mDqVBKmhQds2bRqtLXp6IokYQNnn4EFaTejz+AYGYk9sMgG33soT9vQwoUnPfKLxxhvAT39KuaiwkEldW7cCM2ZAnG1EQaoHvaNpQDiM3pFUBEMChSPngSMuwOGAt7wcJ06kag0L9u8Htm5FyO3FKV81+ueuReWqinF7MN52G1PizOZ8VMzOQoHDjUefKEbFdDs8zTl4+2gHPjhbjCGvA86AGRaHBeEwKzYBwGwKw+/2QwYE+kQ67MKHvMAQiou8EP1+eEwVGBiI7PU+YaHwyZOIYF1SAtu24dNfn4WyslycOUNit3x5ggbfHzf0ZFyPgQGDjBkwYOCKYNJ+C1LKg0KIy87qEEKYAfwLgNsBtAHYJ4R4VUp58nKPbeCTibhNuISgDXxjI0OTRUVM4DeZ4pfyAfG3V1WxR5AeZjO3p6dPbCB78CDw+99rCkprK+D3o69iAV75iQsXuqfDN9yMwZ4AioNtCHvy4XD7MTVrGBhM44Lf04PgrfMAZNBP7fXXEQiZ8J9HFqBtJBPY1wycKMKSVbaLxDQaNhstJjZsAKS0IiWF5l+Dg8AQivHj5wvw13/qxJYdDoS9VtjtAh4Pp1EIIMUUhMk0Cpe0oCecA5OQsAb8sPS1ID2/HKmWSFsLk4k2beOitTV2m5Qwt7VixYrcixZs1yyqqyMLRAAy0Mk24TRgwICBBJiQjAkhvqd7aQKwEECCssFJYSmAs1LKprHz/BbAfQAMMmZgcvD7qVrNmBG5vbQUcROTyspijzF/PrPHT5/ma7OZyVDJJjFt2xYTRpSdXfjtYD36ajKB4mykHD+OAn8PFmScxn3pW/GafyHCo/lALnPRzCE/6j0HANxyseHjke5iEjGAoc/+fuzbV4LFixPkaQWDQEMDbC4XMG0aZH4BXn2VaYxSAhaLGaWFISyv6MDZrjQ4kQkpU2CzjbXbDIQR8Ifglw5kYAQWITEQzsXmnkX49BoTFo8JkR0dzFO7+eYEbYyOHKFJr/J9G+vlGQG9vHYtY8EC5ogpQ2GLhWzXaCdgwICBK4RklLEM3c9BMIfshStw7jIAF3Sv20AbDQMGkkMoRJPdw4f585QpwP33a+6hubk0tNqxQ3vPlCnxbUbMZuDRR8kyBgfpiJ+REbtfNHp7qYht3Uq/sJERlj8KgU5fLvocBSQdJhOQlwfz6ChctnwsKDuO9JQ92DK8HP3+QuRlBXHntLPIlmNqS0oKAKDTGUUGx2KCXV1xyJjbDfzyl1p155tv4ui0B3DorJZp0Ly/H81HhrGivA1TiiT8ITN68+tgLc7D6dNAV4MHo9ICh/CiwtSFkDRhCDkYtWSiKyUXP3p8fBs3AFSRXnpJex0MUumbMkXbNn065/h6gNlMq5TOTlZTVlZqxRwGDBgwcAWQDBk7KaV8Xr9BCPEggOcT7H9FIYR4CsBTAFB5vfzzNnBl4XRSafF6WRChpJidO2lFodDaCrzwAhP0FW69lSHGlhaSomnTEsQ7x1BamrhjdTz84Q8kZIWFPH96OrPqMzJgrVgIOBbw9yMjHH9ODqxFYWDGHEx37cL09JfgX9IDWxp7WmL6On6fPx/YuRMlGS6gc+xcdvtFNSlu3cKuXRoRG8PZTaeB6tqLPTMHmgYRlhYM++zITx2F3RJEmecsKhbloTTDCW/wOFqsEhf6UmGWQcBkQoZjBKHiDKxZY5qYiAHMddPDYqEauWoVCWtl5fVZYVxSco0mtRkwYOB6RzJk7EeIJV7xtk0W7QD0SRflY9siIKV8GsDTALB48WLDZuNGQ3c31R6vl6937mSIaPHi2DwegFWsTmekqlVcnLjq8nIwNMTxAVR9/H5KVlYrcMcdKEhJwZR//jlaBzOp1lksEEMDWDy3m/vU1QEDAyRiQvCaVG5aZibwxBOYt/V9HHaF0RYuZf6ayYQlSxKEKOOYDmeaR0mAxtRCu/QCSEeKWUv8Mge8eOghwNHejXDKdpyozcP3X7sF8PkBACI9Denl2VphgYKUCBw6joGDLcgttMC6fBFJaSAQOzaLBViyJH4DSwMGDBi4wZGQjAkh7gJwN4AyIcQ/6X6VCYYrLxf7AEwXQlSDJOwRAJ+9Asc18EnC9u0aEQOY+LR1K5Ujr5eETJGv6moqU2Mq0FVHSgpDWKEQw5AzZ1J5U+G4AwfwiL0B79gX4exwGdIrcrG6pglT80Oswlu9Gli5kmpWdnZMs3IUF8P6uYfwxCNMV+rv56H10b4IFBUBTU0Rm5ZUduOg3QHPWGej8kqBcIsLGSn+i/vMnz/G1RyVQLoFiyzd+NySM3jpVB08AStEYT7q6gWG+wLwt/bBVpQD2O048K+78fZLbniDGbBbgrj9tRex6M820G9NhYaLiphbVV5uEDEDBgwYSIDxlLEOAPsB3AtAFwuCE8B3L/fEUsqgEOKbAN4ErS3+Q0oZR+owcEMjXuWjx8PtFy5obYy8XipVTz6puaJebTgcZDL6UKnFAsyeDWzZAoyOwmH2Y2P+Lv4uNw+YMYcEbP167T0ThN/N5omLOQHwuA0NnIcxZN+5HE/NtmH3jgAGtx9Fdf4+TA3sxMHgXDhzp2B6TRjz/q+xJhs2G41MX3oJTy46hE/VncFPO+7FcGE6Mtyd2PLnZ3HYMYwvLT2GoTk34fUXQpBhC+D1wtvfj9fPpqDywp+goHKs31FHB5XKO+9k1wIDBgwYMBAXCcmYlPIIgCNCiP+SUsaJO1w+pJSbAGy6Gsc28AlBeXlMHhQyM5mflZnJUF97O5PECwowrgnX5SIcpomXw6Ft27CB7qwNDSSBy5ZpFZiqkEBBVXVeLUuEjAzga1+jp5fTyST5sjLkALgr9DqQcYTlOFVTcddwO7CiEnjo4cgcumnTgO99D+juxkBXFnp/mYbggAf2c42wmsPocqXjeHsO3A1HID3TqEL29ADhMCQETp8RKPCeoQvs1Kmcs8zM2LkwYMCAAQMXkUzOWJUQ4q8B1IMO/AAAKeXUqzYqAwYUbrmFyfdK7VG2Akoxi+4XFArFP47PRx+x4WEa8k6WtO3dy5Cp2838s40bmZRuMtFANtosq6SE1XcVFVTwAL6vvj5+z8zJwutl1WdeHhUthZQUkrBwWAsLBoORpqtC8HednfGLGcxmuDJL8bN/BI4dlUDnIEz9mZiVfh55uRL9ow7kZnh43GAwohN4qmUs/Nnby3ZRJlNkE/YrDZeL85uTc3XyAg0YMGDgI0AyZOyXAH4M4P8FsBbAE6DfmAEDVx/Z2cA3v0n/L6+XeVnp6SQh774bQQRgMlEpU+jvJ+HIyABeeUVz2d+xg5V9F3sqTYCmJlpoKHR1Ac88A/zgBxctKGLwyCN05DeZSP6qq4F1666MKrZzJ5tJBgI8/5130gvL62U1aWMj96uoYDUpEOu1BoxbVbp9+9hbhocBlwvhEHDaWYIVOIEp7gZUTknHe7NXYeRM18X3ZKaHMKvCC3gQ6blWXh55cNUq6nJx4ADviyLg9fUMsxoNvA0YMHCdIRky5pBSbhVCCCllK4A/F0IcAPBnV3lsBgwQFkts0lR+Pq3m33qLIbnMTJISpQa9/TZ7REoJNDdTwdG3Mtq1C1i6NH747Px54Nw5HnPOnEhVyelkNr3bTWXqgQdiVTGAx/3sZ3n+8aw0Jou2Nl6bgs8HvPoqlb4PPtCIWChEMrhpk9YrNbpIYBzr/AsXyGErTO24YE0FTCb4w1bUONoxbeQgRO5d+OI3p2PHh7Xo+uVmFJt7saa2BymBGiqQygLC4eB9Aahuvv465zYtjYT4Uu33Xa5IIgZQvTx/nkS9pobHnqiYY2iIc5aaSqI/YW+nCaDGY/SjNWDAwCSQzH8enxDCBKBxLOG+HUCStuQGDFxFzJlDkuZ2c3FXikhbG9UjBbebeWf5+QxnAVRnentjydi2bWwarrBzp6bshMMkGv6xUFwgALz5JnPVEhlwXUkiBmgdAvSQkoRCOcQDJCVKCQyHGVLt7eVYrVZg0SJWcyZAXh4FwJrsfpQ4hjAyakFuoAuPVB+EyCkBvvhFZGfbsfF+wLPqFuz52VG8cboUxWVmLPu7ryLN5OG4ams19fA3v9GsQFwuzl1mZpLVCVE4fz6SiLndbElVUEB1tLWV+zz2WOJjHD0KvPyypq7m5QFPPJF81wU9/H6S3+PHec/nzmUHh4+qsteAAQPXNZIhY98GkArgjwH832Co8vNXc1AGrmE0NlJpys7mgvNRVS4mgskU65Tf0kJC1t0dSYaGhzUyZjbH5hiNjFBd0mNggCawZjN/VkQsNVVT4Y4f18hYMEi7jb4+hgmnT7+yhCyR83taGlUo1fG7v5/fLRae32Ti9T71VFJtiNasYQcgX2EhUru6kJoVwO1T+2CrnMMK0uxswOVCcOt2/MdvMtAbyoMrfwFGR9Kw703gc5+jAJZyiJw5zdmlEbH+fqqKKSnAvn2XRsZycyNft7eTVOmLK86e5TnjmbIFAsDmzZFh7v5+hrDvumvy49m8mcbECgcPcu7vvnvyxzJgwMANhwnJmJRyHwAIIcJSyieu/pAMXLPYtImhIIXdu4Evf/na69HX2MiFWCEcjl2o162LVUD6+iIXZ4VAgOzihReoPuXksFJQkSylfgQCzCVr13kXz53LFk2XAhUKLSzUkvTnzqVa53Rq++XlMcTm9QKvvcZtKSlUn8rKtHGazRzju+/y2DNnRoZudSgqAr7+deDQnqnwvNuDOs9BVOUMA7V1DDuGw8Azz6DhhAk9nfU43S/R5eoFUt3Y6wxj5395sXCFHfD58L5vEE/c3oYCv59qVVtb5Nw+8EByraf0KC6mAtbQwNd+P+counuCIqcAifLevfwwISXJV/Sz297O7Vu2kNTn5LCIpL4+8VikjG0yD3CbQcYMGDCQBJJpFL4CwC/A0GSlEGIegK9IKb9+tQdn4BrCwABVjHjbbr754xlTPEjJ+FpmJpUuQFOFvv51Ls41NQxnRaOoSDNx1aO0lOTrBz+gAqX3PjObgYUL+fPRo5FETG1btix+c/LxsHUrc95CIaqPq1drrZq+9CUqeD09Wpuhnh42Ovf5eI3z5nEsevVv+nSSRWWiu38/793atXGHkJUF3LLeBqxfA3jH7PeVEnrmDNDXhxFfBXpcDpzsyYfbLSFMYXiFA0G/xMy3P0RavgOjDgfe2zSKB8OnGSrVJ9hnZpIgqUKDyeAzn6Ea1dLCeWlpiawsdTgiCyZ+9zstpy4Y5Hvnz48k6fn5wK9/TRIMcF6ff55zHl2IoCAEn4NglBe2kTdmwICBJJFMmPL/A3AHgFcB+o8JIdZc1VEZuPbQ2xu/Ii+eKevHiXCYasu8eSRlTicVsKlTGS8bD2lpVMz0CfJFRSRTABfdP/ojEqXmZqoma9ZoyeoqDBeN7u7JkbGzZzUHeylJGt56S/Mw27ABuOcebf+hIZIsv5+KWEoKmdTnP8+KQ4+HuVvnz0d2MwCosi1fHklI4iE6HO31Al4vajo/wPGzizHilUA4jLA1Ba5wCnKtTgyNWpHmdAIOB7rd6UBlAQmylCRNlZUkP5N5hrq6qFpduMD33nYblUcpqdweOMBnID2d25Vq2dWlETGAIcTychrT1tRwW1oaydvhw5HnlJLbEpExgDl4H34Yu82AAQMGkkBSpUNSygsiMu8lgZmTgU8sSkupaESH8cZboD4OmM0MvzU0RBKgZBtTr1pFBUlVU9bWRiocGRnApz4V/72JCNdkVbEzZ7Sfe3tpzwFoeVavvcYcNRVmPXxYy2VTGBxkT0p9iDSaZABUc4aHE5Ox/n5Wng4Pk9AuWUIiM20acOoUMlxe5FicaEMBpJQwIYxUqx++oBkOu//i81Ka4WQ41eeL7eeUrN2H3w/86le8LoAk97e/Bb76VSqdGzZQ6XM6GdrV3zelkuptNSoqSKSnTWO4cu5cba6jEe+DiB633Ubid+QISfuCBeMWSBgwYMCAHsmQsQtCiJUApBDCCib0N1zdYRm45pCRwVDSO+9EOslfi5/+77mHi35TExfG2trkPcUALuSFhZM/7+zZXIz1/SGXLUvQ1Xsc6HPZVLgM0EJwoRBDcrNn87XPF/840QStslIzoFVIS6PCFA8DA8DPfqapaY2NPO+jj3JbRQWCI22Yl94Er7Rh2J8Km03Aa89GMAjkWJxAej4ybD7cUtVCsnLffZwj9QyVlyO2A3kCnDmjETGFUIihYBXmTE+PXw3p8VA1U0rptGksQli2jKFKherqyBA3wGdo3rzxx2YyMdyrQr5DQ1RYh4Z4zEWLjLClAQMGEiIZMvZVAD8BUAbaWrwF4BtXc1AGrlGsWkVio6opa2quvHXDlUBaGvD440xgFyJxBeKVhtnMMOa5c1S0Kisnr4oBVFX27GHul7KFSE/XKkGBSL+w+nqqV3pYrbHJ+atXkygq9cdiIXFN5K21d29sWPP0aSpSDgeQl4esm3JRneKAdI6icxhwuyUyczz41JyzyM1Nhd3bgbrcbqTYJLBiFeRtt+PD0HLsf6MbgYxczF5WjluFQFIGEInUqYlUq95emv5WVnL8LhcrYJ96KpZkqXu4aROJZ3Y2CdYE/UMjMDwMPP20RhwbGvhMPPpo8scwYMDADYVkqin7AHzuIxiLgesBeXlJWSNcE7gUv6jLhRBUXRL5jiWDjAxWqe7cSVXNbqd6pYhvdXUkOaioYIju3XdJALKzSbKiKwUdDhKQ5matkGG8Sli9OqSH08lxzZgBnDmDz8w/i1dOmWG1SFjX1WPxbdm4/c75EFYLiU9XF8OIWVnY82+H8fbvhscI1CB293nh9U3H0qUcvqpJuPXWOI/ZjBkcr14dM5kmDkEfP87wZEEBLTGcTs7ptGnxP0wUFDDf7lINe/fti1XwTp/mPBgtmwwYMBAHCcmYEOItKeX6sZ9/JKX8649uWAYMXOcIBC7P8DMnR0vSHx6mUtbfT6f9xYtj91+yhIra6CjJXCISIQRzv5KBxULPNIC5Vbm5VOpUjtcDDwDvvIPMU6fwR+u74VtUA8uioshoXHo6x+zxAL29OPBqOyB1SmV7O/a9lYfjx3MvFiMODzOa+q1vRRZHIiWFqtXmzdyhoICsrbCQuW/btjFkaTYzLHjTTbxep5MENBTivtnZmunv4GCk4hg9V8nA5WLyflcXcysTFXIMDxtkzIABA3ExnjKmr/1/EIBBxgwYmAinTrHycWCAC/9dd1HJuhxkZQHr10+8n8USGb68RJw5A+x6rgnufTbM9MzDmtC7sPb2MqT3ta9podOUFCpy69YB77+PlAMfAk0NDIeqwo4dO2jDMWa5EfasABAZNu5s8qA0l3yqqYmCnMPB4teYyy4pYd9Pv18z3QVYYbl/v/Z62zaqZhUVJLIXLpCAtbVRehsa4utdu2g6e//9Wk6Xy8WBOBwkke3tvJdz58YSbJ8P+MUvtNy+piYSYrs90sLDap1cqNOAAQM3FMYjYxMkYhgwcANhaIgLbmlp4ubgfX3A73+vVZz29AD/9V/Ad77z0eWtXSbOnWPXIrmrC/Cnower0Z9TjYeq91FRq62NfdOvf635q3V305rjqac4X1u3avt5vZjr3Il30+6JUJ3KywGYmKLW3U1+k5LCcSxZohOugkFWkh47xjkuLaXXWFZW/ErRAwc4FquVRKq5mUTr5EkqaipX7sQJErSVK3nsl1/muY4d02xSLBYe74tfjMyxO3EissgCIInLytLCvFYrcO+9E9uHGDBg4IbFeGRsqhDiVQBC9/NFSCnvvaojM2DgWoCU7Dl44IDmj3XPPfHzlE6ciLX+CASYwB0vtHgNYs8eQIZlRCVmw3ApRhxFyNS72StcuBBrdBsMav5meuTm4qaSw/CZG7DfORPBsAnlBT6Y84fxX29Y0diRA7ON7ZtCIbaX3L1b151oxw5WYoZCVJ06OoAXX2Q/yXhJ/KGQ1hYqO5thXKeTY4v2TWts5D16/XW+b2hI6+3Z1sZQa0cH88/01Zf6TggKQrBKc+ZMHqe8/ONvG2bAgIFrGuORsft0P//91R6IAQNXBYODDD9davju5MnI8Jffz8q8mppYtSuRdcG1bGkQDjMuOTAAVFfD5yshmcjJuaj4SAj4gmZgWpxwa3S1pYLHE5XwBUAImObPxfpFpbg9MIgLnjw8+1wqArt7EB6wwTWYgRR7CGl5dmRkUCFrbNSRsd27NXuKlBQSJIDFCPX1sS2J5s0jGTt5UttmtfK+RVeQZmRoshwQmYA/NKT93Nsb+b7p01l5EI3p01l0kcg2xIABAwZ0SEjGpJTbP8qBGDBwRTE8zDY2qg/ijBlMOE8UYkwEfY9LBeXzFd3ges4c4P33I/29UlPZQ/FaRCAA/Od/RvSKrMvbgFYs4XwdOwaMjqIg1Y2Cmkzgjjtij1FVpeVW6VFXR0J36FBke6nycuC++yCEwK7/cQwBH5Wr0kwnsge9CIRNkCErhobMGBqiOhYMAhYZ4LGUEuXzsUIxPV1TK4WgOmkysUXVLbfwOWhv53eA4cN77400d7VY2IUgM1MzNtaTd33FabRBbWkpDV/fe48DtVq1ooJLQSDAZ0sVSlyL1jEGDBi44kjKgd/ABOjpYcJwZyerpdatm7zRp4Eri1dfjWxIfeYMDWs3bIi/v9PJdkE5OZHNphMpavG2Z2Vp7ZJUC6S1a5nU7fOR4OjVtGPHqPY4HCQvCxdObvEdHNQ836qrJ79wHzwYOUcAlvZtwkB9LQ6cyUBoyRKUpA7h/rt9wJwE82a1Ag8/zDyroSG+XrlSI6B/9EcMLyrz07VrL45zsFNT1YrT3ShKc+HsYC6ELwyrw4zcXIqKu3cDq/Kb0JJSiyFnJqrsXcixuvjGtDQtBHj//Vp3BJU8n5vLsszGRhKdGTNI3vbt4zORnk4iplqD0I8SAAAgAElEQVRarVhBS5GMDBLH7m6NgM2axdBjNFav5r3r62OFZ6LcsJYWHntkhLYaa9ZEfji4cIGJckqVKy1lg/rrJN/QgAEDlw6DjF0uPB72BVT/QIeHuah/85vGP9GJ4HZztb3S+TSBQKQLvsKpU/HJ2N69rMZT+V51dUwMVxYJ0b5RVVWJW/hUVABf+AJ/Hh7ms6ESvC0W4KGH2A7opz9luFNKLsiVlVRT5s2jwjaRmrZnD8escqUqK4HHHosNDY6Hjo6YTSYhcffs81h33yz4fAJZWQlsH/SoqgK+/W1eZ1paJMGoqtLCidFvm5WGrnPMQ3NYg6gt6MWgz4HCajvsaVqXooYG4OxANlourAPMoxD9w7gjbz+WzxiIde83mTgne/Ywv8tqZRVA9HwuW8av1lbmBCpbivXreX8aG0kcy8tJJAsLx2/blJo6frVkeztbOalnrLubH94ef5yvpSSh1T9nHR1U3BJ9gDBgwMAnBgYZu1ycOBFr8OjxcCFQDaYNRMLlYuJ1UxMXz9mzgY0bL8+XSw+zmaRE3yZoYIBk7C/+govunXeSPOzcSd+qwkLNLX/PHioqt99OBeyppyjPKJ+vZNv3vPdeZKVdIAC88AIJ186dGpEaHOTin53NnKTjxxkSXLUq/nHdbtpn6JPWz59nPtWKFcnOUmL1tqgIdvskObIQnLNJ4OYvTcP5I4PoaA0AAKqzh5FV0o9UUwdsIgDhKwBkBbq7BYL+AsDeDACQqal4W2zA7NI9SI9XGPHOO5xfhaYmqmbRRRcjI6wEDfD8OH8eePZZ4I//mAralcTevbHFHU1NVNULCzkWVWygR3PzlR2HAQMGrkmMZ/r6GsaxtzCqKceg/pEnu90AFSGlXIXDNOpMT0/OSysegkF6MkhJOcViIRF+/33+3uNhSHDGDO5z4QLwgx/w53CYysfICL+cTs1bqqUF+OxnSZLuvHPy49L3gRwaYiJ5Xx/w0ks8r+oQ0NXFcwcCJGLt7SSTK1ZEelUpdHRE5mEpnD8/OTK2aBGrE/UmpUuXfmRJ544sG5785Upc+PA8PL1uVOcOY/NPD+JQ11jI0OWEOeBF3soZ6O42kcSeOwcMDSHkcKB9zaOYGW2iGgxSyYzGrl2xZOz48di/U5+PH7DiEe6hIRJ6m40FA5Nhq4kKHdT21FQqitF9RvVeagYMGPjEYjxlTFVQ3g+gGMCvx14/CiCBxfQNiLo6fhLXL44mE/9ZG4iF3x8/Kf7kyUsjY729VDOUp1N6OvOU1q5l3s+xY1Sd6uqoQEhJ8nfiBFUvm42KRHExF+eCAqo8DgdJ0dtva3lIk0VBAclXKEQfrAsXNHuMoSHmp+XnUykEuN1qpfJ19iznKt6Cr1ojRds5FBTE7jseUlLYdunEiYvVlJdtUDtJCJNA5eopfPHzn2PjzHYUp7twuj8faVY/lhUfQWNNNbq7rbwnY83RhQDypw8z562kRKtYDQZjG6QDsQUG58/z7/bQIfZdKi+PT3wBErbf/Y4k2mbjvoWFtNRIlrjW1bHgQI/MTM0c12pl7pnel81sZhcBAwYMfOIxYTWlEOIfpJT6WMBrQoj9Cd524yE7G3jwQebvDA0xifuOOyYdsrlhYDJRuYpWJCaT66THli0kYuEw1bbubiojX/saE6SXLKFCtm0b9x8Y0NzXARISy1gPxdFREhy7XUvib2xMfG4pmZy+Zw8Vjfp6+jCoBO6bb+aY2tp43lCIz4XNRnLgdms2C2azRgQBLs6JlJecHHpi6RWg7Ozkw6d6WK2RvlmXC6U2Xoqdh8cDk5BYVt6OZeWad1nOfD+OnLRqDhPhMBYGdiPv2bd5vvR0VspWV3POqqqoauqhN6s9fx74yU/4vaWFoUKnUzNqratj3pgK4/7mN8Bzz2mqVU8PVcV33+XffjKYN4/v27uXhDEvj8/mkSM8V24uiVdhIT+YpKTwHEYhkAEDNwSSyRlLE0JMlVI2AYAQohrR/UxudNTWssrK4+FCbJSjJ0YoxPnZv18r379UIgEwARsgaVJ2Bd3dzNcSgoRIWU4Eg5pCkpGhWRYUFPB1Whr9w0pKNHKYkcHvwaDmTeXxkIDt2EEFq7ycpOboUf7uc5/jfsXFwDe+AWzaRGVMn9xeWspzrF3L0JfTSXIGkFBMpBLefTe9rM6d4/zNn//xO7x/+CGwfTvJZ2Ul8KUvTS7kWVfH1kl6VFYirTANX/kKp3BoCKgeOYaZJ9/SkihcLuAPfwC+9z2SwE99ip0QOjr4DMycyQpnhWee4fNgs3GuBwaoYNbU8G+5oYH39ctfJtlraIgMH4ZCPHacAogYeDxUxHw+3qeNG0m43n6bHyQAjvHWW6mMzZwZv2LTgAEDn2gkQ8a+C+A9IUQT6MY/BcBXruqorkcIEelHdKNDSpKMw4dJuJYsIRH57W+5MBUUUClobiZhuVSH+rw8kjB93pMiJYcOkYzl5JAgvfMO1a+sLCoV7e1chIVgsvyiRSQUCkJQtfiXf2E4VDWm3raNY1cGpD09HL/ZzEVcKV4AQ1EPP8ycpSNHIse4YgXw3/87z/n++zyWamZdUsL5mz49vsokBHPgrnSi+aXi+HESoqNHSVxPnKBy9/TT46vETieJbW8vyevMmbSckJLzMHUqsGsXHLW1WLFirLLz18f4n0gPt5vkSJH7p54iybJaNUINkAA9/7zmV5aZScLY28sQqMrjGx3lfrNnk7TZbJHhT58vsum3x8NCjIICrRCltZXtsDo6OB8WC5+7cDhS+ZSSz9ScOXw2DRgwcMNhQjImpdwihJgOQOn8p6SUvvHeY+AGRyDAMNDmzVou3axZDB02N2skZ8pYrlB0Ps9ksHYtCZ4+f0rlPUVve/JJkrYXX6SiNHs2F9hZs5ioLwRVrqNHSYBmzGAvxGCQx+jtJTHTe1up8ff0aF5VABfczk7um50N/I//AfzZnzEs5nAwlHb//TzOunVUZc6e5XEaGkgcAS7uX/jCtW+TcuQISZSaK4BE9/nnga8k+Ozm8QA//7lmyHr6NBXD732Pc/3ii1Q4AbYpWraMCqoiTHoIEbtdkcCuLoaL+/tZZal33x8Z4b2WUpvjvj6SZ7+fRM3rpWrX3Kw9U6WlNJUFqAbu2MFrdzioWs6ZQ0XU6+W8hMM8XlMTzy9EZOhUNTE3yJgBAzckkrW2WASgamz/eUIISCl/ddVGZeD6xv79XKD0RQ0nT3JBjYfLIWO1tVzsQyEudEVFmiHrvHmR+77+utbayGSiqvbgg5EKR329Vnyxa1ckuQCowIyOUoEpLo50hAdI4Pr7NfVFCM2643/9LxIDt5tVnzk6D68pU7jA/8M/RCaS9/aSQFxqpelHBSkZLpSS5Gp0lNdx/Hji9xw5ohExhY4Okthjx7TCho4OhqH37aOaWFZGAqV/vmbNipxPgMrYSy/xQ4EiY0KQHOu7BlitvOdCkBTt28d9c3N5ParjwpIlJGr19cBXv0ry19wc2Q7J46FfWFkZlVevNzLEOTKimclGY7IFGAYMGPjEYEIyJoR4FkANgMMA1H8/CcAgYwbio7U1toGylCQi5eXaIqtwue2CSkqA//k/uegeO8aFeuFChigVmpsje0ympnLBjbYS0EOFB7u6qFiZTFzEg0Eu2mVlXKjb2kgC588nafq3f9OuX0p6gm3bpuWm3XVXLHEAuNDHs0DQW2RMBJ+PSowKY15qYcREkJIk8dAhvlaFCe3tWu5bSgqT5M+eJfmMhqqAjbdd5WP5/SRicqx5uc/H361axfM4nQzlLlkSeYytW/n18sucV4CK1Ogox5mSwmcxHGau1kMP8R51dzMxLTVVC2+mplI1++IXSZj13ReiKyQBjvHpp7Vm6Z2dJHwWC5+Z0tLYSth58y69hZIBAwaueySjjC0GUC9l9H8PAwYSoKgofr/C6mpWvb34IlULi4Vhp2j/p2h0d1MhKi9P7LtkswH33ce+g0BsEYWe0Hi9PJ4QXExVuDQas2YBP/uZRgb6+nhNs2ezKq62luHGxx/XQlYdHZEkw+XiObKzScacThq/lpXFhqRycrhoR1eaJquY7N4N/Ou/kiwWF5OkPv741anI275dCyECJLYLF1JBUqQ1L4/zs2dPfDJWUxOZowfwnkydyuP091M5U/96rFaNXDqdDPPGQ2cnw4b9/SRfgQCPYbWSYI+Ocm7q60mM/tt/43Hnz2f4uqEh1sg5LY33TJ9/prZHo7GRxKq6mtc3MkLSnpZGNc1kAv78z0nylaWICllKyQ8Nhw/z9YIFl55PacCAgesGyZCx46DPWOdEOxowAIAEa/58kgO1kFZUMFRXXs5egYODVBzGM85ULWJU4rsQXJgUaZk1K7ZoIlEla14evw8MMHSmrC02bya50vejVLDbteTu9nYuqIrYzJ7NRX/hQi6woRAX+rS0SA8wpcroFapQiMn50R0a7Hbacei9plTi+E9/SkVm9er45PHAAeCv/kojgp2dJCFvvqm13LmSiGesmpLCht09PZyD4mLOR6IwdE0N+1ju3s37YbGw60FuLsltU1Nkhei0aVoIN56yqKAqbNWcq/sRDPJeZWfzeXz8cRZtqP0sFqqJy5ezRZIKuYbDiQslFixgOFtP3jweXoPbzXtnMvF5nTuX2+vrI9tEDQ+TsJpMVOX0BFWFOlevTny9BgwYuO6RDBnLB3BSCLEXwMWYjuHAbyAh0tKYrP7uuyRSZWXsr6cIUbKtcxoaIisQe3qAv/97hqRSU3n8L3yBxzp1iovf9Onxj11bywVY35YmM5Nf77wTn7D4/SQY8+dzzKq10egow6E+HxWMpiaGBj/7Wapdc+awCADQkrWVuWcgQELY3h5pl6Fw000c55kznMejR7W8q+5unutLX4okj1JyLvSKnJRUl6Id6q8UonPpAJKaadNim6iPF4Zev56kVBnvKnKdn8/+rsePU41yu7XfZWTEhiX1UPc/N5cKlc9HgmQykTAvWMDq2uhuBS4X2yMFg7yPx4+TuNXWcjy//jVzxfSEPxxmd4bGRpKqigqeIxAgQR4d1RQ5t5tETE9OGxuBf/onXr/dznuWkaERxylTSNQMMmbAwCcayZCxP7/agzDwCYSqKluyREuWnyyUwgFoVhkDA1zkKitJ8jZtYshK9fXbsoUK3MKFkccym4FHH+XC5nJxoSsu5sLamUD0dThIotraYnOvVK6Z2n7mDAlWWRkXTpeL5G36dKppVitVj2PHSMAOHeL1ff7zseRRqSadnfSj0iMU4jU6HDx+VRXzp1wukhW9QuP1Xr3WRrNn8z5Eb1u5khYX3d287/PmUWkaD1lZ/LpwgWSzqor3JzWVKuuiRSSlzc1UxJYsiV9RqTB9Op+P8+epNB48yLkOhznX2dnxw6ZvvklS29PD50k58y9YwN93d3OMlZV8HjdvpkKojII3bqRaa7FwDkIhzkE4rBGs7u5Iz7O/+zvNWDgc5geQnBySbbebz3uiHqWXi/5+zo2qFo03JwYMGPhIkIy1xXYhRBEA9VF0r5Sy53JOKoR4ECR5dQCWSikNR/9PGoaHaTmhiE5VFZOko8OKIyNcEFwuLqJ6w0s9SfF4uKAq+4DmZoYAe3o0lcjj4e+3bLnYNge7d1NtyMkhUZg7VwsdKugtKaLxqU/xOsrLGa7MzCSx6u2l6qIPs6pm5B98EBme/fa3mWP1+9+THFVVkRwODzMkmcjFPV4yv9tN0qDUpp4eEoSyMuZanTihnTs3l75oVwN33KH10gRIQu68k0ri175GopiSkpz3XiBAl3vVr9RsZrhTkSClZqnXE0EItsQ6fJg5fCtWMJRot2tK5O9+B3z3uxyjlPR5+9u/5bORlkYiNTpKgu33a6RbKYInT1JlVfB6Wbk5dSpDrM3NfO7KyvhcCMHjpKdr5KqzM7LDgyp8GBnhfqoidbxq42CQY0xPn9wHno4O4Je/1PITDxwAbrvNUOAMGPiYkEw15UMA/jeA90CrxX8WQvxQSvmHyzjvcbDn5b9fxjEMfJQYHGTCdns7lZ5bbhk/sfy11yIVp5YWVhXq+zwODNBn6vx5Ll4eD3PCfvhDHnv+fC54/f38UgqEIkBOJxf7oiKtvyLA32/YwMW4uVk734kTDItt2qQtqnY7F6FEyM+nKW1XF8dw5gzVi6YmrZqytZXzk5nJa9EXGRw9SqJyzz08fzTGq5SsrOQiq68+7eyMVdI6O3n8kRES1e5uKk3f/ramdqgm1z09nNuZMy+vZZfNxgT6jRv5WhmdKoyX0xWN/fs1IgZwTjdtYnjwUrsKWK1aKPP112OVNK+Xyfr19czR2raNz1M4zO/6bgvq58xMLV9PFXUMDPBY2dkkcc3NPGZtLa+jp0fLhwsGSQwVQR0ZiVQzw2Fer9+vPcsOB+/vmTOxeWtNTVTg1Pvr6lggEx36jof3348tFNmxgyHj6HtpwICBq45kwpR/CmCJUsOEEAUA3gFwyWRMStkwdqxLPYSBjxJ+Pz9Fq5ykvj4uBN/8ZvxqslCIC100zpyJfL1rF4mDXs3Zt48E7Yc/1BpZHzzICsSKCq0PpUqKnjWLC6NavNR4X3451j7A6+V+3/oWlQ2zme9PS+N7tm/nGFNTqaIplU4IqmclJVTcwmGqIMeOMadtaIikR7XRWbCAJM9s5ldrK1W/jIxYy4/xwohmM/DII1r1qdXK48QrbM7IAL7zHZIBs5mkQSW7nzhBJejQIc6fSjBfupSh28uxFrkSC7c+HK0QCFC9qam5/OOrFlSJtit7jpwcTYUKBjWCZTJRfb33Xs3uxOEg2df7pFVX8z6cP8/wcno6jxMI8PlatYrP18AA57+sjATryBHe09RUPkuFhVqlrdnMDxsffhhJxkIh/k3ow9INDfzwsnLlxHOi/3tR8PlI/CdDpA0YMHBFkAwZM0WFJfsBmBLtbOATiIaGWE8oj4eqT3QSNKBZG8SzB9Cjv5+KkyIX4TAXoy1buHjddx/VMbNZU7IcDi3HpaKC4ajvfz/yuFVVVCQyMmKrNVVD6Ohxv/BCpGfU+fNM8o6XR2MyUYGorWW4sq6OStHgIMe9Y4e2iJeVUbUymRgyfOWVSKuGtWtjj6+Hqj5V3lctLQzp6WG3c7+33iJBtFqpMK5ezTndvJl5b04nF2HVB9Pv57w+9phmdPtxIJ5Cl2yRRzx0d/PDQGYm79GCBSQpeiWooCCyU4MQfK03r125kqH15ctjnyOLRQsrBoOc154ekl67ne+3WEjIVJjy7Flub2/ntaWns+gjNZVjFoL37MABHtNqZdgzLU07l0JnZ+Q2KUlen3mG93rZssiqWxV2TU/XOmD0RGWbZGcnto4xYMDAVUUyZGyLEOJNAGoFeBjA5oneJIR4B7TEiMafSilfSXaAQoinADwFAJWVlcm+zcCVRCJj1ETbheBCplr6KEQnIkffT2V6mp1NkvPyyyQT27Zx8aqo4EJjtXL7xo1cQO+6i4n5gQDzZjIzuTiZTLEq0vTpseMdGoo175SSKt14Sc0ZGZGh2uxsLpA+HxfQcJgLseppOH8+9z9xgtcwb15yhEMITa1QTa8/+IDHzckhad28mQqLUm62buXP9fUkF0pRVMqc38/XLhfz6i6FjLW0ULFxuajarFp1aUrZsmUk9vpw7IIFEys0St3Rz+EHH0Q+d4WFwBNPsFBi+3a+Z8oUkmClHM6fz/mqqeGcdXWRRD/yCKtb4yn4Q0PMP2xpIcmy2fjcNTdrPSpNJipnqt2Sy8WQ7LPPAp/5DAnz0qW8py0tfH6mTKGNSUsLlTs1xujm4RkZkRYqZ8+S5BUXU/U9dYoke+pUEtH33iMZy83l380tt/ADR2sr50QRQyNaYcDAx4JkEvh/KIS4H4DK7HxaSvlSEu8bJxEneUgpnwbwNAAsXrzYMJ79ODBzJpPG9e1nhBg/vLV6NReMo0e5oCxaFNmLD6A6tW+f5uHl8ZBM2e3aArt9u0Zmamq4SI6O8tzKp2vtWqoCeuK1ciXJ26uvkuCZTFz8Zs2KHau+AbQe47nzA5oJqCI4qgm5ahadlsbF8cwZLXRUVsavy8GaNVRr3G4qhS+/TMd31Vx7xgwSgIMHudinplJp6eriWK1WLW8pNfXS2lFduAD86leaTUhHB4//yCOTP1ZWFltaHThA8lJTE/8+KbhcLIY4f56vp0yhgqW6HQihkYqeHhL1W26h0hkPq1bxGdi/n3N3//0k+InCm1IyTH/oEJ8tdd97ehi6tNlIcEpKNBPfQID3KyODROnHP2boc/lynkvfumvhQhZGKLuP2bN5z6PnbN48nk+FdE0mzUIlHCZRNpuZf6cwMMCClO9+l38/p09rz8M77/D9yRRdGDBg4IoimQT+agCbpJQvjr12CCGqpJQtV3twBq4RZGUxLLd5s5Y0f/vtEzu7z5sX2x9Sj5QU4Ac/oMKwZQu35eVFmnva7ZH9/VQCvzLMBLj/5z9PYuf1UuVZuJAL8vTpDOlkZ8f6XykUFPCrt5evg0EutgMDXEBXrIi1ygC40D38sJbTZbORANbURCoMV6Mlkc3Gr5df1nLupGS4SzU5V4njquG5Ik4+H38uL+dcRpPkZLBnj3Y8hVOnqApdSs5RRobWxWAibNqkETGA6s7TT/Me7NhBgqr3m1OtlRJBhZCTrTw9dIjKmOoyEQhwDIWFVCCVMlpdzTkWgs9WairvTUcHlaiODn4Q+fWvme9nt/NvbM8e5hKqsOLGjfGfoXvvJbE/eFArKNEXKrhcVMmi4fMx9eDNNyPDkj09JHDjFbQYMGDgqiCZMOXzAPQZoaGxbeO4Lo4PIcSnAfwzgAIAbwghDksp77jU4xm4Cujro1Lh82nNs2trudhkZGjhsMuFELRJuOMO4Be/iK0unD+fn9yVIzrAxT66BF/vaK6H1RobDlUIBrU2OYpUdXRQLUhJ4Xl6e6mu2Wy87uZmLmCzZvF90R0FXnopMuQpxPgGpZcDKamgmM1apwCAi+qMGRoRHhmhCtLdzfva16cl+c+eHdnDM1kkUtM8nsmTMb+fCo9qeTV79vjPV3RIeXSUJGzpUs63x8N5WbaM9zEZ49ueHpKXioqJQ62nTnGfRYuoBo6O8lnS50hmZ/P1Qw9p7Zmk5NiU8qSUZq+X11RZqdllCEFC5/VyW7zcws5OzpvqtuB2R5KxGTPiF3sAvNZ4ym9b2/jXbsCAgauCZMiYRUp5MY4jpfQLIS7ro/5YmHPCUKeBjwltbUwEVmRl2zaG2R54IPKT9MgIVYLRURI1lRB9qfjMZ4Cf/ITKAMDw0cKFXFBVOM7rpeqRTPl+IgSDWo5VOMyxb9wIPPUUlYp/+7dYMvDMM5EL3YcfsnG03R6ZbP7AA8zPOX1aq8qMl6c2WYyMcAEtLtZUQyE0y4SZM7m9p4fEceVK5jsBnLP0dH6p6kSPh35gKqw1WdTWxlbMZmdP3vE/EAD+4z9IagCqm8eOMaSYKH8pNTWyKrW3l/OQkkKC2dLC+9rXR9U1uu2UHsEgQ56q0tfh4HM4XhWnstswm6lGLV/OEF8gwLnPzuYYAwHO06JF/BsZGOC8q3Pp8xFNJo43FNLyzJSSq0i2Hn4/FTVFisvKOG92O5XsmTN5/0dGmBOoL17Iy+OHnO3bYzspJNsH1YABA1cUyaxovUKIe6WUrwKAEOI+AH0TvMfA9Qz1T9rrZc6Xav/T2qo1nu7ro5KlFoM9e5hYHp3bMhk0N3MRXbCAi5PfT4+otWtZhRgIcJHau5ehmeJiLcfottvGd2XX4913I93jT57kwv/gg1ooSQ+Ph/YZetPRnh7mGEUrdDYbvczWr+fr7m6ez2YjMcjIIMHt7+e5JsrPCYd57UeP8n0ZGSQLqlJu0SJg506Skbo6Lv5r10aG/OrqYkN1KoR2qVi0iNd26BAJRF4eiahJV2gtJce2bx+fp9mzeZ/0ytPRoxoRUzh7loQqEblfuZIhNgWTiYoWQHU0N5fEZ+1aztV4YeLduyMtVzweKqTf+15idW7pUipvStkqLua8u92RBLK4mM/w2rW89meeIfEbGOB97+lhXllZGclTayv/jpRilZHB1lrx7lNjo/a319TEsG1/P/3D1q1j4r7Vyvuiihf6+rTihYwMkrV339WOqTekNWDAwEeKZMjYVwE8J4T4FwASQBuAq9B52MA1A9WD8dw5LfQSCvGf/Wuv0ftrx47YUJUKFY3X/Hs87B9rxKBXvU6c0JplKwwPMzwzbx5ViMOHSQy+8pXkznPsWOy2hgYShpwcrQWSgtsdPz+uu3v88xw+HGllsWMHSdqOHZxjs5mk5q67EqtA+/dH9ud0OoHnn2cCttnMPCebjfsIQcIYvaCuXMl7d/QoyV1xMUmKz8ewsCo6mAxMJlp2rFvHZyQvL/Yadu2KrGxURENv/KvaWEWjry8xGVuxgiG8w4f5+s47SSoUicnM5DXef//4RKy7m3N54QIJXGkpr8vtZugvEVnt6+Mz3tjI677tNlYu/smf8HocDpJCZa0BkHylp5O8z5pF8jQ6ytyzH/2I43z7bZ5TKY5OJ78WL44dgyK9fX08Vl8fldPMTH5QUZWYS5bwmPGKF26+meM8c4Zjmzfv403e7+jgNUyZkrh4woCBTyiSqaY8B2C5ECJ97LVrgrcYuN4xZQr/uQ8NadscDv6DbGujQhVvEQ0ESJQulYzFaz6t7Bf06OwkwdHv39nJsSWj9sQLcZrNGpl46CHmiZ07x2u+447YPozA+G2UQiEurvqcndFR4B//UQtPhUJU+YqKSMriIdooF+B8dHSQCAwMkJyMl/dlNpMArV9PwpKTQzXw6ac1kltXR4I22VzA8dS9gwdjtx07xu4ISh1TilY0JrKxmTuXX/r9t24lwSotJUEa7zns6qKy293NORwYYEivvp7PQXSxh3LFb27WVDnVhksI5mf9xV8wt3F0lM2ovtYAACAASURBVOTq5psjvb46OvjsqYIRhfx83tOeHs5HXh7/9lJSqPrGe16nT+cYP/yQYxoa4vWWlvK5GhwkkV+8mGTN5yO5jc6HmzIlcowfBwIBVngqEqq6O1xKYYkBA9cpkqmmLALwVwBKpZR3CSHqAayQUv7iqo/OwMeDtWupFtjt/EdpsTCMIgTDGxaL5vmlR2rq+P3x2ttpPdDRQQJy++2RC8Hs2bEhq6oqqj36pO1wmKQh2qAyur1LIixezHHosWCBRkQyM6l0BINUF0wmKjHvv6/tX1KSmEABXJCjjTpVQ/No77LTpxMfKzr02tPDHKKf/pTXm5bGRXvDhkhyEg+KOPn9VOz0amNDAwnn0qXjH2MyiK62BLSqT4XaWt531eMSoHo0UaVuNEpLaQCcLFQeleo5qloXTZ1KJVFPxvbuJdHz+bTwuCJiAHMEAwH+fuNG/g1kZcWqO4WFkVWgAImY2cy/tZQUHkPdp64unvsv/5J/Jxs28BgA/wanTwf+z//hByC/n/Pa28uwp9XKZ/Dpp7W2ZA4HrUc+bvIVjd27I/MP1fM5bdrl5YYaMHAdIRkn/WcAvAlA/fc5A+A7V2tABq4BpKczufs732HOyooVGvG5+WaqKm1tzOvp6dFI0D33JP7nOTpKX6rWVu7f1sYEZL2z/8qVTIa2Wkn8pk3TnO7XrNGOXV3NUI/+XFlZyS8yK1ZQ7crP53WtWcPX0bBYtHDQunUMg95+O5WzL395/FBKWprW0kbBaiWZjcZ4/ReXLdOus7mZc+9yURHZv5+KiM/H4oboLgmJ0NYWv5IuXgury0E8clhbGxk6FIKK3JNPUr37xjc+GmsFfReCuXNJrvLz+SyofpsAlbNNm9A3aMb2lin4sLMazpMXNKLtdDIvbudOErXf/Y7VlvGejdtu4/06dowh4/5+Pk8A77E+/1AZESsFrbWVfy96r78tW/ihICdH6/igchGzsnht+v6wHk9k2Pxagb5/rILHw2f94MH47bIMGPiEIZmPHflSyt8LIX4EAFLKoBAiNNGbDFznEIL5SLW1/IcYCnHR6u9nng1AheDAAZK3OXNIzmprI5O4FU6ciCUAgQAVEWWIajIx/+e223g+/YK2bh33Gxnhorl7N93WR0epBNx7b/zzJrq2FSvit3ICuBCOjGimnQqqP2UyMJmAu+9mwrZaQIuKGHbSL5Bm8/hqVEkJqzY/+ICL+NSpLKzweLioqsbk4TDJlL7IIBGiSaLClW6Fs2YNCYFq71NfT3UnHq6EGW6yCIVIAPbt42uzmWHaKVNIyvW5b6dP40RXHl44PRthKQBvJrb3z8LnL5xCaS1IFLKzI5+9Dz7gh4rofLXeXq3aUUqScH0qwE03aR0aDh9mJbGevI+McNxKWe3r4/NZUsLjDg1p1cHLl7MQIvpvbmCAStq11PYo3lhaWxm6VHM4bRr7qF4pSx0DBq4xJEPG3EKIPDB5H0KI5QCGx3+LgU8MohfJV1/Vfj51SvM3MpkYUlFVWtFI9Gk8XijLYomvsCnDV0BT0fz+S89RizeW117jQqgWy099KrYVTbKYOZPqolJKamu50H/wARfKjAxex0QkpLSUJEEZeOpDXV6v9nOy1aR5eSTP+kIGu318C4hLgcnEPLXbb9faU10LUNWdhYVUdkMhrfG9frE/fx5y02a89U4ZwminApWTA18wiG29c/BYbStVqOj75/dTvYxudbVzJ+dZnw/3wQeR815by6+UFK2g5f9v782j4yrvNP/nlUqStUvWYlu2LFuWvFvyCsYLizEGQgghQAKkE0KAhIR0kk7OmZ5MzpmZ35nJTM9JOunpTvd0yDoJJoEESICwGbCNWYxly8YLXmVbluRFsmRt1q56f388eufeqrq1SSXdkvT9nKNj19Wtum9d3fve5/2uduxCcdEiWu6Skyn0p03j3/YHP+C1+/TTgbGdKSmBPWKd8HopCuvqKBArK0eneDHARZF9sdbdzXNoP96pU7QmRrLYEIRxSCRi7DsAXgQwTyn1Hlio9d5RHZUQvxj3TF+ftaq3x2odPuwsxhYvZmadPU7J42G80HBJSIidEAOYkbh/v/XalDn47neH/yDKzGRG2+AgY4sOHuQDdeXK4H0PncjOpkXw8mVaJOvqeN7NA3/69NC1sfy5806r2fuMGYwlGm5j7nDY2xPFA6dP89pZvJgu774+/p3sltjubmDrVvToFLTpbGBwgJatoiKgpASX1lcA3xqgwDJ18QzZ2c6Fb/0TUQDeT/39jKdMSaGVKDWVomPfPt9FTG6ub4bpo49SzJ09y/M7cybw9a9bbu+NG/ld7YkukfYP/cMffJNH9u2jhTbUfdDaSlGVmMj7OtLFQUEBQwCqqqxz5HRf19WJGBMmLJFkU1YrpW4AsACAAnBcax1hpLQw7mltpSUmN5dB+/Pnc8I1D1itfYP2g030GRlMr3/tNbrppk2j1SSe3CWnTgVu6+3l9w/VMDwStm2ja9Xw9ts8d9FUv7/7bj4kOzoo5np6+NAzQeeRWp60Bn7/e7q80tLotnrhBT7cR8v6EU/Y3bSpqfxRynf78eNAby+mTAHySrPRfLGfom1IKM0sTwGywL9fba2VeJKSQpe5k/gsL+e9YycrC/jRj2ilvHCB99IddzBW8nOfo4BvaaEIu/VW379xVRWtajNnUtBNn+4rAouLWci4utpqEzZ/fvjzU1sbmMV78SLHGCzR5ORJXpvGJb99OxMqIq1lN3WqFbd54YJz+Zn8/Mg+SxDGIUHFmFJqDYA6rfXFoTixVQDuAVCrlPqvWuuWMRvlZKG7m5NZpCvK0eaDD5h1aFbn5eUM0m9v5yq1sJAxW/YK86Hin0pKuALWOr4sJQb7ee/vt9oGjdT6prVzmYd9+6ITYzNn0u1ZV8eHfqTxa/6cPh0YNN3YGPphO5FYu5bf1e7iXbbM1zI4JHqUAm5fdBZ/GFyKAS+Ly6ZPTbHaWKal8Zo+e5afV1oaPLHj9tspfE0WcmEhr7FTp7jNVOF/913+/6GHrHjAGTN875neXn6HpCRfa9nevb59VAsLGYcZDU4V/832q1et5uILF1qLr9df900u6O2lJfzzn4/MEmdnxozADNv8fOf+sIIwQQhlGfsZgM0AoJS6HsA/APhbAMsBPAlxVcaOgQHGKh06xIl3zhzW2QnW2HosaG8PrJN18iSDxB95hBNyVxcnaBMTde214csrAIFC7OpVfm5qKl1tYx1b1NLClf/8+YwXu3jRqrCel8cMuS99ybIAer3Rj9EpNm5wGHkwiYnOPTijIVih1ZZJsr7Ky6PFaM8eiqOyskD318KFjK26ehVlU1vwrWt341jrdHjuX4nFa/30llKRtQLLyKD1samJ10NXFwvF7ttnWd3y8/l3OH6cZSsuDzU7yc8HHnyQ4uzIEf6+tpbWMLvYibS8SyjsMW0mmSU9nWP+p3+yjpGVxfsiK8sap+HcObpvz57l9fqpT0XnBr/nHlryzp612jdJIVhhAhNKjCXarF+fA/Ck1vo5AM8ppQ6M/tAmETt2+FZZP3uWpQq+6GKjg7o6ZwFx6hQDyY1LLyeH7hS7lWbvXq7uGxsZi3PbbZxMnaxhx44x0Ni0iJkzhxaBSIKMY8Hrr9N9aKx1S5bw/Ju4n5kz6RZ86y1mef71r7QsZWQwWzCSJuBKcaV/wO+2WbZsVL5SWIKVAIm3+lOjydSpoS1Gycm8DrdtA+rrkTm7AGs2bQLmxGCBZMpV/OUvgaUnLl/mNXfmDAW/SWS5fJkLtvR0y2LU0sJYs1WrLEEWi2uqsJBlNn75S2t8+fnA1q2+i6X2drrb772X38lY1C5d4j1iQhDOnqVb/Otfj9wirhTF2OLFI/8+gjAOCCnGlFIerfUAgJsBfCXC9wnRYrLk7Jw+zck5VA2q0SRYfEZdnW+T5tZWBrk/8QRfHz3KfpL19ZZge/99roy/+EXf1e3gIIuXmr6LAFf7c+awLMRoU1tLV6xBawbwp6cHugDr6igajQWgo4PCLCsrsmzL22/n5x8+zAdNZeXY1NNyYto0Csldu6zzvnx5bBqaTyQKC53bCMWKs2etPq+mBdnAAK1dV64EZhQfPGjVEwOYTXn8OC25paV04/n3SvXn4kVa4To6KJ5mzaLAMiKpr4/3bVISkxWysrhISk3lfZyV5VuQ17hcb7uNgmtggIswj8c3oaSpice231d9ffzuU6fGNhEHsK7reAyHEAQHQomq3wPYqZS6DKAbwC4AUEqVQUpbxBYn83uw8g5jxbRpgXEbOTnOk1tTE0WZ6RPZ10cxaejoYEBwVZXvw+LcOV8hBnBVvXu3rxhra+N+AwO0XJkq5MHo7maMVksLrT1Llzq7Fc+eDdzm8VgZn319lvg0xTX9A9w/+igyMZaSwkw206omLY3fx62/8aZNFGANDTyf0Va8F8KjtdXUXmue7+uus+6h5GReUykptLSacg5GHPm7/gDf+y85mZawJUuY3BHqWrp6lYuJujreS729fG9aGv+95x52xnjqKbpPGxp4f5p+lVrzeB0dvteKsfLNmwd885tcWCYnMyvS/16xlw3Zt4/xqL29FH6bNgWv+xcNAwO0dhsrdGUlEwOijVsThDEm6N2rtf6BUuotADMAvKH1/3tiJoCxY0KsuPZauiXtrFzp/gRi+sOdOcPV64oVwHPPWat4g8djWfC05kTs7+LUOrB90pUrFEn+sVP28hcNDcD//b/Wtl27OK5gJTG6uoCf/9wa4759dIV+9rOB+zqVH1CK7aBMmYvubj5ECgv5UF2zxvehEmns2JUrdPuYWkoNDRSDjzwS2ftHg6lTR6+chcCyF/ZG6UZ83HQTX69ZQ9djZqZV3LWoiNf6li281+zcdhstuf73ViRtg7Zt4zVnFk4ArWorVvBav3CBY/F6Ke4yMjjWmhqKNaVofbOLwZQU67sAtJqtXUur+lNP+R6/uNhaRDU303puHin9/RRQJSW+baaGw7ZtVjFfgCETpgCzIMQxIe9grfVuh20OnYuFEbF8OSeMqipOxEuX0oriNgkJHItd+KxfT3FmfyCsWWNZ95Yv58rbTmYmJ3d7c2SAr0tKfK1oHo/vCvntt33FmdfLCXfJEmcrXXV1oFj8+GM+bPxdj4sX0/Vi74dZVMRCr1lZXF17vXTlzJhBy0Fjo+/nhKp71NvLz2huphDt6fEdc10drQ/hmmIbtKaAa2riwy2abMr2doqDixf5Hdevj5+s3YnKnj3O24yAWbyYC67WVlqRystpYers5D2XlsbFhNfLxJjFi+mmtCfWzJ8fWdKMCRmw1zpra+NC6O23uYgx901tLd3qhYW+yR7XXEORePw4x1tR4dzNwbQxe+89WtLKy622TwATgZyKQJ84MXIxZo+9tW8TMSbEORL7FS9UVEQ2qbpNaSkzqKqqKC4WLfIVJIsX03LV0sJJNy+Pk3FOTmCF9+JiuicyM63WLuXlvrFUjY2BY2hro9BxijOxPzxMXIzHQ9HjL148HuDhh/nAM/Esq1ZRhO7aZfV6rKnh91m6lBbA5GSKtY0bgxda7ekBfvELy9V07BgffEuW+O7n30zcn95eq4/hkSO+8Xpr10ZWtqC3l1a5tqHogtpaPlC/9jX3ra8TGfsiwr5Na14Lv/oVryUT6N7SwvvLuCnnzQu8vtat4z1WW0urZnGx9bumJoqt4uJAS1lmJn9nF+BJSVYSwIwZtPgODHCMR45YBWI3bODCaeFC7hNJ7bBp0ziOri5+h7Q063fBknNikbTjtECTuDFhHCBibDKhNQVSczOtMcPtBTh7dmhrzjXX8OfUKQqZ7GzGbjglI9x/P2OuTAr7mjW+k/LMmRQydvLznYVYfz8fOKYnn8nuUgp49VUmBvjHRqWkWL0xDSdO8CFi58oVfva3vhWZRWr/ft+Yn7w8PuDa2/mw6+mh5SFUSYTubgq65mbG0h09SsuBKdy5ezctkdOnhx7L4cOWEDO0tNBiWFkZ/rsIw2PJEgp9/21K8W95+TKtSN3dvLa6u3kNB+vfacjJ8S2W3N/PfrGmUGtaGjMcS0utfTZu5D4FBVx4XLlCsdTeznuguZnH7+nhvdXZSUF3//3RFzxuaAB+/Wur8v+RI7RMb9nC1wsXUkjaS6lkZcUmE3TlSlrk/LcJQpwjYmyyMDDAOA570Pp111lVr0eDsrLwE7nHQwEWrETE5s108Rn3SlISXSj+9PfzAVBfTyF14AAfMtOmWQ+lHTtYhiMcjY20IMybZ7lkExJoBYzUNegffF1QQCG1fz9FcVISH3pVVc7towDGuzQ10RpmPu/8eVomjKWhoSG8GDPnbmCA+7e38/s5BYgLsWPLFoobky29YIF17Rqra0oKsHo1/8Za09LpFMsYig8+8K2Y39XFDOe/+zsrvnHxYlbEr67mdZyVxUVSUhK3m+SBhATeS5WVrMXmv3iprQV27uR1NG8ex+tfD/H993mtdXZyv/5+XscbNljXbXExy990djKz95FHYpNRuWkTxa7pL7tihW9cm9a8n6XhuBBniBibLBw8GJg9+MEHXDX6x3LFE/n5zNI6epQTvCnG6c/hwxQqCQl8SBjrVlqa9f2cXJ5OmLiV4mIKHfM5ZmUfCcXFgVYR03NQKatEwfbttG6ZAG47H39M61dfH60Ira18UJuabED4zFKAlrS33uIDygiz5mYW5dywQYppjhYpKcB991GQmcbzhrIyxn4ZzN9/OOVFamoCt3V20ppqj8EqLfW1lvX1MWh/xgyrv6XHw/fcfnugEGtqAv7t33ivXb3K63fHDuBf/sVX3JhCsSbmEqDwf/FFWtqeeoqtk0wyy+uv836JRRmRxEQu4JzKxuzZA7zzDs/N3LnsJmJv5SYILjLGpc4F12hocN5+/vzYjcGUvIjWIpOczJX6qlXB40rsLVxOnaLLxeulS2bfPk78kfbJmzvXcpkkJVlu1mjcNcuW+fYBVIqu3awsPnhNFqbX61v406A13bN9fXzwtbXx30uXKDTb2mjtsMcMBWPGDIpY43pNTORDv6/PuQdgPGBKFPzoR8BPfuJbEy2euHiRQnfnTitL0Z8pUwJd9KY3q4ntSkykVWc4oQNOnToSEpwFvqGjgzX+duywmozPn09L1yc+4Wylqq5mMLyJc/R6uWB46SXf/UpLfYtGDw7y2nv5ZboQt2/n/ag1/85eL4WasRaOBsePA6+8Yi1GzpxhEdt4vKaESYlYxiYLwepIjVV9qePH2Yza9ANctIhxLaHcBQMDlgsmM5Nu1WDiw2xvb2c8TF4eBVpKCt0kbW2+7opQKMVssFWrKJSmT4+s3Y2dxES2rzl3zorRO3yYDyL/YzlZJpua6ErMyqLrVSm+zslhBmphIa0ukWKaiRsrnxEBo/kAHAmvvuprWXzrLZ6DcEVNx5KDB3lNmwf6e++xsLGD6L96lUmLZ87wT3j99cCcdetoFW1s5DUw3AD2deso3O2tkFascBZjHR0Ujq+9RmFfXGwJr4EB3jeJic5ZwhcvWvfv1auWsNm5kxnIhg0baP26dInXvunEoTW3nznDz2lpoVBLTOSi5/Ll0WsB55/h7fXy3jx5MrLm6YIwyogYmywsX854JbsVZsWK8PFGsaC/31eIAXQ7VlUxIzAYzz3H/QzHjwNf/rKz9WDBAlqKdu7k67Q0JhFkZ1N43HSTb9BzKLxeWgDOnqVbcCRuXHuyw5o1VmakYe1a5xih9HQ+oCoq+BAcGOBDs6iIbliPJ7ossdJSvsf/YRcsG9RNBgedSxRUV8ePGNOaNcTslpW+PortL3whYNennrJuvZYWhl499hgwfXrayHuNzpjBnpd79lAkzZ/vLKa8Xtbsu3yZAr+1lYNZtsx6nZ3NbGinRZpJ9ujosK7hhASrD6XJlk5JoSj98Y957aal8dim0XhXF8dgrt/BQS6WRstdvncvXcJ1dfxeaWkUYf39HMNtt8Hq/C4I7iBibLKQnMwg2SNHLEtNNA/i/n6KIa+Xk300wbYNDb5CzFBTE1yMXbniK8QATtoffsiHhT8JCSzsWlnJZsbp6b5p/AsXRj7ep59mbInWjFmrrmYwc0YGHxpvvGEJtRtuiDzOJy0N+OpX6RpsbaVACmZxS09nPN/evRxDVxcfHMYCGKnL1VBYyFpPb7/N85iQwNIF8diP0gRZ+zOcxuqjRU+Ps1XRIS6xri7QEz04SMNfuMTJiJk2DbjzztD7nDplhQhkZvIaHBzkv0uXUvx/85vB7+3ly+lK3bqVr5OSeG0WF9MqaC9dU1lJ8W/c8VevUmzt2cPP93h4bGPxXbSI99X69QwHiLSYcjiqqti2LDWVoQs1NbyHp07lcdPT6QKfNSuyThqCMEqIGJtMeDzDK2XQ1MQVtXFLTJnCYNtI4pWA4K4Hp4KRhmD1t8LV5VqwgPWzXn6ZlgqlaCUIVrHfn0OH+F2Ny6emhu/du5e+pd/+1rIKXL3KfnyPPRZ5lmVyMt2fodCaArCpiQ+ligprVZ+VxYfIcPparl/PB+rFi7T2jZZLaKR4PLRy2ltxAfFVhiM1lULEP/7RQSQ7lRsLtR0Ar7eqKsZWLVlCy+5IW2d1d1v/Ly7m2Lu7rRIUN98cKMS0plvRlN4oL+d3HBzkYqS4mBZnezFZgxFkJi5RKSuTuLyc7zXHPnuWIQm1tbzOH3rItzbZcDHV+HNzeU0dOWJZD8vLaeXr6uJ+0Yixy5d5b0oHCyFGiBgTwvPGG76TbU8Pg2G/+tXI3j91KgWFPW4jJSW0i9I0Kfa3PoSaMLXmZO7xsHF5czMn4WhKBbz2mm/sjddLl0ZLCx8Ydhej+X11dQxNHKCr6513rNdTpgB/+7cUch4PrXz+ff8iJT09Pl2T/tx5Jx92R44wpmjlSloh44lPfIJZgUZVZWY6iuQ5c3ja/dcR/vV//x/V1VxMGN57j2+2x2UNh/JyCqH+fl4/q1dT8N9yC8ur+Gfm9vQAv/sdLds1NXRlLlrE+7m5mVbdrCzed319TLbweinCbr6ZC5T+flq4jUsyI4O/r62lmPV4KMI8Huv4ly6xPMZwFhz+2BVvYSG/t1K8h06e5LEACrKiIlr+QtHeDjzzjJUQNWcOLfKxEI7CpEbEmBCeurrAbRcuhG50rbVvTNOnP03X6KlTnMCvvTZ0WnlCAgPUn3uObpSEBFp1Vq923r+7m4E5ZpJMTub7o63Z1NtrreDtnz1zZnA3WSzdZ8YV68+BA8Djj/P/58/zx1Q5j5b+/uhjzsaalBS6oz/9aY4zHsdaWgp8+9t03yclcaHg0NHA4wEeeAD4y1+ofaZMYehb0Lhxe29Fw6FDLDcxkriqtDTeEy+/zPvkyhVajW+4gcLIn/fft+qENTTwnjhxgoKsqYn38sqVVlNws2D74ANex/fdx3pnZWW0xubmUohNmUJhtHQpRV5uLoWdfS5xmnOGw9KlrGdmyM7meK5csYRYYiJjZ995h/uHKhdjzl1/P3/OnGHW7913x2a8wqRFxJgQnoKCwMkxN9dZiO3ZwxiMzk5aYO64g/sqxVXkkiXOlfidKC5mxfvGxsAYMH927fIt39HXx3T5b387MGOzt5cTsYkbsVNSQguCvX9eSYmVWVlTQ3GYk0NxmZTkWzm8v5/lO5KS+ICJVkQMDlr1l+wYs8pLL/lmGS5dyszPSI5z/jwfJufPUxDfdFPo3prxQKxih0aLtLSIzuGsWTTWdnTw8g/pcTSuOzteb2xE//z5tFo9/TQXGM3NwL//O8MO/OMXz53jv/39VgzfpUtW/FdvL69948a0s38/xeOjjzJx5U9/8r0Pb7qJFrnubuAf/zHwOzuJw+Fw4420en30Eb9DeTnj4n7+c85pqam8j82cdO5ccDHm9VKMnjzJe0hrCsu+PhFjwogRMSaExwTtmgkzIcHZhXD0KN2XhlOnGFN1xx3Mpmxt5YRsGg5HIiCUsjK7GhvptvJ4ApsU19YGvtdkfdkn1/37WTahr4/fY9063+9y8810x+TnM9A3LY0ZnG1tdNkUFvJ71NXRjfP3f289xOrq+JAzsTkFBcwqC1XvyZ/kZFpc7M3TAVpd6uoCC8kePsxzES49v7+ff0Mj6trbaarJy4u8UbkwYiK6FJYuDSyBUloaG1eY1vxs+4JoYICJHY884rtvXh5d86mpFF+trbynTFZyRgYXB8nJvEftYstuWa6s5L360ku0kNmr4qem0ky4Y4e1f3o64xtjgccDfOpTzJj0eq2YuM2bnZOKwlnrr1zxXfT19LCsiOnSIQjDRMSYEJ65cxkUb1aXS5c6l8RwKkdw8SJXocYUMDhIN8b06dEFZB86RJeHmeR37WKQrylzkZsbWNjWv5RDWxsfCGaV7/XShTF3rhVHVVQEfOMbFDkDAwz6zcujK6Kvj0/TVausjES70HvxRd8g6aYmPuTuuivy7wnw4fHss1ZB3rIyPjyqq533r68PL8ZOn3ZOfjh4UMRYvLFhA/9W+/fzGiwri/4aCsbAgHNxWqdCzOvXc4HV1UXX5K5dFFWJiVaLo+ZmCpz6eoos46atrPRdbFVXc9+kJN5b7e1sxfbuu1xkTZ/Oxcu0aQxHCGUFHw7+MZYVFbTi27Nf580LX2bEqTxOYSHnnuGEDAjCECLGJjvnztH0bgJrg7kQ8/LCB7c6rQzb2jgB+0+ux45FLsa0Zp0gp5pOf/M3fL1xI90HdhffunW+2WE1Nc4lE06e9A1qNwVm7dhFFmBZAcz2zk7fLgCGM2dCfzcncnJYSqO5mccxD4Bg7pNIWiIFK64rPfrij8REJgds2ULRH8v6W0lJDKz3r7XhJMinTmWc4v79tHInJ1NI5eX5hi2UllJcNTZSzFRU0BJlqKuj6O/r43F7eyleDhzwzUbs7uZCxCHuzpErV2gpT0iguzRaC/Qjj/C7NTXRj1xREd5aNqDAZAAAIABJREFUv3w5XbWXLnHfGTM4xxw5YmWbxmN8oxD3iBibzOzc6esOef99TlChSk6EYsUKqymyYeZMqw2PnWhcLpHUdJo2jdmd1dW0KixcGJh5GWyyjmQSX7iQDw87KSnWSjo11aplZMf+sOnr45inTo3s+/u7TObNY/zanj18oOXlcVyLFoX/rLlzaT28csXalpAQ/zFjkxmPZ+TlLE6coMXa/K1LSyn0tm613HRZWYzfciIri4uBujpe70pZ9QZNh4iCAi4IFi1iZqG/GDGV+6urrezGtjZ+rj1Dtq2Nnx1JGZqTJ5nJauLoduxgsd1orFPhMrqduOYaClLjGTh9mgJz927+lJRwHCP9uwmTDrliJitdXXQ72GlvpyC7/fbhfWZ5OQNZd+1ibElZGVfIzz/vayHyeBjUC9CidOIEJ8YFC5wnsSlTKDz8y0r4V+KfOjV0Ovy8eYFWgYwMrnbDsXAhrW8ffEBXT1YWXUfGapGYyAfLa69Z7zHbAK7AX3uNIioxkZ91443hj2vH9KgE+FDr6OA5i8S6lZjI+LVt2xgHNHUqjz8WHRgEdzAFTw2HDjHZY9ky4O/+jvddYiJd3Oa+M/1Kr1zhQqOszOpqYdoknTtHS1B5Oa8fI76KipytQkVFdGPay0x4vbz3e3p8rddOyStOvP46Fz4NDbwvsrK47dFHrX06O61M15GUg7EzcybDI957j/NIQoJvjZLaWi7agmV9C0IQRIxNVlpanLO2HCqIR0VlZaD78f77GRtSU8NJc8MGTuInTjA2yowjOxt4+OHAuAylrJpOpgZYRkb0LUwSEjiRfvABV/oFBXRHRtoT8OabGUfT0UFx6O+WXbuWn3nkCCf+lSutgH97rNrgIFfyc+ZE1wrn/ff5WdOm8Wdw0CrnMWsWY9lCdUbIzaXlQhjfGCtxuKK9/ostgOUbli3jIsKeBQxQGP3yl5a7/d13KSrMAgCgaDOtteyLoenTrQWWPzNn8nqtr7e2FRVxQdjdbV2zHk9kfSIHBmhtq662rHuXL/Pe+PKXeV+ePMl6YGZuycwEvvSl0AH6kWJanB065Gyxb2gQMSZEjStiTCn1QwB3AugDUAPgYa21Q1TpGGL6kxjBsHZtbG7ceKWggILBvwx4tG12DH19dFH29XEVan9QpKRQyNjFk9ZctdsFYVsb3aZOaeLz5rHMxUhXulOm+DYM93r5Nx8cpCsvXLzKlCmhBc+8eYFFVZ1i1Uzh3Ntucy6B0dBA8WUsjNdd52vR05rup/Z2ukezs7kif+yx2FgAhPijq4t192pq+Lq0FLj3XmeXt9a8dvyxCyt/9u2jEDMxUQkJXLQtWRIYY3bzzYwhPX2ai6eFC0NbaO++m8Lr7FnuV1rKe7+wkAus7GwuuCIJGfB4aEHzz4Y093JZGe8t+9zS0cFkmvvuC//5keLUvzPUdkEIgVuWsW0Avqe1HlBK/S8A3wPw9y6NhTz3nG+806FDfLBNVEGWksJsppdftgLjCwsDA9cjoaUF+PWvrcn/9dc56YXqB9nR4fxgsK+e/cnICN9KKBpaW9neqKWFr9PTWW+pqCjyzzh2jBa+tDSOzanIrH/yQkMDV+5NTbREzp7NRAQjoi5c4Pk0D5Nz5/ie6dMtd29LC4VYQoL1MG5qYjzLypWRj18YP7z2miXEAAqhV16hIPNHKQoe+/4AhUowGhvpZrOHFFy+zALN9tZPeXkUTrm5kbcBKy3l9WniRw8e5L328MN0J2ZmRlcaYulSikezyPF4uAhqbeUx7LGRBv9s65FSWMh73l5uZto0icMUhoUrYkxr/Ybt5W4ADrPJGNLUFBh43tPDQOnhxk+NB1at4iR58iQnw/nzh5dd9/bbvqvwwUHW8po/P/gEm55OEeEf3F9QEP3xh8u2bZYQAxh78vLLzGSMhDff9K3uXVXFmBX/71Bezkn60iVaAWpqKLxMvNa5c+xFuG4dX3/4YaAL+fhxulmOHuUDxyQKzJnja82zfx9hYnH0aGTbDHfcwUB9E2s5bZpvlqM/M2Y4V75vbGTx5Lo6Xr+1tXQBpqZy8RaJa3HPHpaJaWujVSsnx7ofhpMwtGEDF0Kmf6ux9JeWclyZmYGWwUiyju309lrW/kWLnN3Cn/wkf1dbyzhM03BdEKIkHmLGvgzgGVdH4OT3B0Kb9CcKubnMEBoJph6WnbY2iptgbofERLo67Ja5lJTog9oNR48y0LitjSvkLVvCx9ScPRu47fx5TsLhygl0dTH2zE5vLwN7/XsI2mPV9u7lQ6+42HfStj8EnbJPzed8/eu0ftXWUgj6n1//KurCxCE11bdvqtkWjKlTWTOvvp7XTrAAe8OyZVwk2ee9OXO4uFKKFtznnrMafwO8hx58kAsOO11dTFq5csWyiinlGw/a38+FxXCSSObNY3LMhx9y/khMZPKO8WRs3gz8+c/Dn1suXwZ+8xurs8AbbzDe0j9DWylaG0NZHAUhAkZNjCml3gTgdJd9X2v9l6F9vg9gAMDWEJ/zFQBfAYDZo1WcsrjYau9hR26wyCgsDLTIZGSED4xftYrC5OOPef4rK8MLKCdqa5kIYCbew4c5+T/+eOiHz9SpgYVQMzIii7lqa3NuT+Of8WlIS6P4XLkS+Od/9q2ZBvi2f5k/n65P/3HNnGk1zV65kg+2d96xPmvNmvHRBFwYHmvXUhTYCRdWoFTk5R7S07mQqK6m5TUnh9edsXx1dvLesqM1BZFdjHV2stCzEXV79wa+p6WFAnEkVqTbbuM5uXyZ84h9vqmspMgzyTQVFdHNLW+/7dviyW7tlzpiwigwamJMax2ixgCglPoSgE8CuFlr/yeTz+c8CeBJAFi9enXQ/UZEcjIDTF94wRJky5ZJ7E2k3HQTV8gmoFZrWmi2b2dCQKgJrKgouhgtQ1sbY6sKC/nw8L+ELl2iRSDUg+jGG+nGsQfX33RTZJNtQQEnf38xFy47MjeXmVb2ZtDZ2b7WyZUr+d327+fYsrJYksDfhXzTTSzLYc5DrPr5CfHJunW0hO3fz+t9xYrYz1F33UWrlsmoLCmxysX09gbeZ0BgIH1VVaBXwbgj29uZaHL1Kt17//qvwJ13Dj/OKifHuSo+YGUdR0tHh7O7trWV4x5ud4CBAbp8s7Mjz+AWJg0qhA4avYMqdRuAHwO4QWvtULbcmdWrV+u9/qusWNLXxyDPrKyJG7g/WnR20n3R1cXVsz2AdtEi4HOf4/+1piXM1LpasYKr8KYmrmQjWb3u3Mkfr5fCqa/PeYX98MN8mITi4kWr7cyyZdGVmjh+nA2Qjeto1iwG4ofKtgR4Dk6cYAB2djYFlVNGXGcnfwoLpe+dMHZozcWMxxMo8P/P/+Hv7Nxyi28vyT/9KdCCBnAO2LuXrvypUy0LdHIy8N3vxrbTwHCoq2O/1suXeW+npfku5rKyGDs3nHvx+HG2S7t61erPe+utsRu7ELcopfZprcPWOnErZuynAFIAbFO0QuzWWj/u0lgskpMl5ma4ZGTQZXLwYGAm09GjFF9z5tD6ePCg9bvf/Y4Ts8fDSe7GG4Hrrw9+nEuXfLsGaG1lFdozGXNzI3PPTJ8+/CSNBQuA73yH2Wfp6YypibT5+YIFgfEn/mRkxL5HnyCEQ6ngcVz33ce4sQsXKCqWLw90lRYXB4qxxERur6oK/Oy+Pt7XY9kjtbGRiTNTp3LOHxgAnn4arSeb8NaZUpzrWYqprTW4cbALJXMU55dbbhmeEOvp4TkzZYRMf97iYiY1CALcy6aUYKyJSrCisZcu0WJkF2KtrbSSlZZyIvZ6GauxYEFw94JTr8e8PLoNu7tpSSopYZbTSK1Jzc2MEzlzxmrdUlHhu09q6sSeULu7GRPU0GCVPhGBOHnJz2fbsbY2Ll6dEghWraIl6PRpvlaKCTUZGbxPzXZDYqJv27DRZscO/hhKS4GKCgy+8x5+e2wTWroSAdWCtvxy1J3Px+N3JyJ/3fzhZ3qfPRtYzxGgdXwizx1CVMRDNqUQa1pbufK6fJkiZ+3asXMBBIv/KioKDG43FjT/7MHTpynGOjoo4goKrPR3pzpeAEXCihVcdcaiL5zXy+r2ZozNzbTqZWeHd31OFAYHmVFm3FInTzIg+vHHw7tihYlNqHIUHg9bb9XWci6aM8fa/7rreA3Zg+PHUuC3tFjtnQynTwPnz6OmLhktzQAwVDamvh4DZWXYn1aBW5x0WEeHlQ0aKhEhWHyYxI0JNkSMxTPd3VYc1vz5kQW6d3YCv/iFNdnV1PAh+sgjY5MFtHBhYDbgihU0ybe10VplAubNA91/Ys/JYSuX7du5b0ICg5c3b2bW1syZvgUc8/NZ30ep2DXora0NdLdqzeDjySLGjh8PjA9qbeU1Gaz1jSAYSkoC75WcHOBrX+N91NHB+3ksM4AbGpyTEBob0X/Vz3rl9QIdHQHVRACwAO+ePdxnyhQmIdh7VNopLuai+Nw5a1tKirRMEnwQMRavtLayT5wpXLhjh5XKHYr9+31XnQCzCs+coTl+tElIAB54gKvNxkYKJxMLkp3N8g5vvskJsbCQ8RR2l2RRESfsZ2yl57xe1tQqL+fk/tBDrHrd0MD3rl4dvhzF4CAfAKY445o1w1uZXrrEQFyPhyIz0grk45Fg9fec2uwIQqSkp/sG/I8lwVyN06ahbPoBTOnU6OlP5Dw2tFhcutRv36NHgd27rdc9PbSaz53rnIgDsNvA++9zHp46lYvLYFZ+YVIiYixeeffdwIfe229TAIRyOQZ7UI7lA1Qpq0fj0aNW+YjKSk7C9orVhYUM6r10if9PTWWwa2trYMr66dMUY8nJ0bdteuYZX2vd/v2stB9MkJWUcLK0W8fOn+e4TJHbvXtZ8HK81KPzelm1/Nw5WhMrKkKL2LIy/i39LQlSy0wYr0yfzuveHrtaUADcey9S3n0XD8zdjZcvr0VT1xSkZ3tw0/XtgXkFJ08Gfu7AAIVWMOtYSgpL0dj74gqCDRFj8crFi4Hb+vooDkJVrC4ro/ncTkLC8KxijY0UHtOmDc8CVF1NK5KhpoaicP1634Dd66/n6vLXv6Yoa2piXMmsWXzwNzXR2rd4MS1c0bZsqq8PLKLa1sbxbdzo/J6EBJapMAH82dkcu73ivdfL+JNgYmxwkAJ6/36+XrGCzZWH03IqFjz3HM+roaqK7utggiw/n+n3b77Jh01iItvQTBY3rTD+6ezkfd7ZSct6eTlrSi5ebC0IKyt5D3zveyj56U/xRN/v0JWbiSmZSUjwbgRarvWdr4LFt0liizACRIzFK0VFgU2zp0wJX/9s/nyawHfvplhITmZT32BtiYLx6qvMojMsX86CkNHEnb33XuC29993dlHs22fFJ+XlcWKrr6f4vHqVFjMTP/fFL0aXKenUNBgI38cxL4+CDGDBy//5P6P7jLfe4vc1vPcerUxbtoQ+7mhQX+8rxACe7wMHQrfDWruWloTGRoozeeAI44UrVxg/awoz79nDxcTmzYxtXbjQd/9169jRIjERaR4PF6Fas4etqZMIMFu0qsrqDwswFKOkhAuw7ds5VyUkcN/166VqvxAWEWPxysaNNIcbIaEUrRSRtA/ZsoVuvJYWWtGizaSsr/cVYgAf2suWReei8q9OD1BMmaB8O/ZA8YQEir+jR2mNmjPHagV09ixdbdGkhJeU+CYOGJxqymntPHGmpFAg+/fhDFWXrro6cNv+/e6IsaYgtZWDbbeTlhZdMVxBiAfefz9wDvrgAy4wnBYVfX200PvPcbW1vq+zs4FHH+VntbRwfjGxvK+/7uuZMPGxwSzwgjCEiLF4JTOTTaGPHeOEMn9+dLV4MjOjt4YZ7Fk//tujEWPz5/vGZgB0EzhZtYqKfPf1eBgzVlYWWMuosTE6MZaVxeSH11+3+kkuXeobmdvZCfz1r8wgnDKFk6t/8dk772T8m0mQyMtjIchgOGVt+QvCsWLWLOftkfYtFITxxuXLgdsGB7nAdRJjSUmcK/wTV5zajOXlsZahHa/XalV14QIXOh4Pt4sYE8IgYiyeSUqiNWqsCdbjMJiL9MwZmuWTkhgXZWLabr2VsVlmZVlUBNxxh/NnrFzJz7CXrNi0yTlYdubMyL6HnWuuoYCrq6Oo9S8q+6c/0eoG0Hr39tsM7l+1ytpnxgy2Qzl9mpPsnDmh3aXLlwdaGJcvj37ssaCggA+EXbusbfPnBw84FoTxzuzZgUWilQruXVCK2d5//rO1kEpMjDzoXmsKr5oa3xCT9nZuk8QXIQSu9KYcLqPem1IgXi/w299a4gSgAHr44cA6XlVVtCgZEhOZxm1PGGhu5meGq2Dt9dIy1dJC919REVPGP/rI2mfxYrZkiWUMRlsb8JOfBG6fPRv48peH/7kDA8Abb9DFC1CIbdnC+LMzZ7g6LykZ23gS0wYmP19cj8LEpqeH89j58xRKp07RxVhYyJ977nHu9NHQwIWhafcUTeX9Z54BfvYzXwt4cTEXg7m5DMcoKqLoKywc+XcU4p5Ie1OKGBOcGRjghGSyKSsrA1eUXi/wj/8YGJdRUkLhFguuXKHp3+uly3I0BER7O/DjHwduj+X3MBw5QoE5MMDXs2YBX/iC+02SBWEiojUt2e++y5AP+32Wnw888URsF0MXLwLf/CZdlKbH5+zZPLbdKp6Wxv2kk8WEJ94bhQtjTVcXYygKCpz7yfljipquWBF8n74+5yD9cFmKkfLGGwySNUH1iYmjI8ZSU/l9jx/nyjkvj8dbuTK2x+nvB156yRJiAN0ZH3zABumCIMQWU/Nw587ABc/ly9acGCumT+e9bEoTJSQwNCIry3e/ri725Y31HCOMW0SMTQbeeYeT0eAgrVubNwPXXjvyz50yhZOPf020UBmG/pheI3ar27FjjOHavp3iqKyMK8mdO5mOHsuq9/39wK9+xTT1/n4eu7iY/RcrK2N3HIAuip6ewO12d7AgCLHHyQKl1PAsU/X1LHdx8SLnoltu8Y1j/cxn6K40mfDB2tg59lkSJisixiY69fUMRjf097OGWGlpbFaEd94JPP20ZSHLz2c8RDh6emglOnqUk+KyZQzub2oCnn2WAa+Dg7SyHTzImIuEBMZaDUeMeb3A4cN8f24uA/PT0xmPduECxaC97tCMGRwDQGtcLAq15uQ4l9gIVztOEISRsXYtk4HsYTlLlkSfcd7RwTi0vqE+lmfP8vU3v2l185g+na8vXKDY83qB732PIR/GdVlSwk4kdpqb+fkzZzonGXi9tKh1d3ORGq4FnDCuEDE20XHKRgQYzBoLMTZzppVhmJQUPsPQ8MorvkVIDxygG8FkJNldqT09XGXm5QW2SIqUP//Zt3TG3r3AY48xoN3g9dJtceUK8N//u7Wizclh8ddgWaaRkpHBh4K9EGxqKotNCoIwepSWMrFo924KmgULhtcf8/BhS4gZenvpclyzxtqmlDV/7NhB4TQ4yLmsoYGZ4sZ1OTgIPP+8NR+mptK6Vl5ufd6BA8Af/sDahYmJFJKf/jSL2AoTAhFjE51gK7/h1iBzIimJkxtAMVVTQ0EzZ46zgNE6sBo8wIQBU2qhoICxFvaYtKIi6zjR0NQUWO+svZ2ZoMa9YBqJd3TQnZiby0m7rIz9KF99lYH2I2XLFq6KT5ygOFu1KjCeRBCE2FNWNvI+ssHqBIaqH7hnD+ez/HzGi3o8tJoZ9u71nQ+7uynOvvtda98//pGfY45TXW0Voh5Oqzsh7hAxNtFZtoyZRK2t1rb8/MBWILFgYIBFUe21fTZtCiyeCnCSMQVY7dsqKjg5JSYyeeD8eX7uffcxzm047sJgCQUtLcANN1AE7thhNVNPTuZPfT0nu7S0wHpFI2HBguGJSkEQ3GXJEsay2pNwkpJCF6E2ljR7jTO7de3UqcD3dHfTglZSQqHW0uIr+IwV/+hREWMThCga/AnjkpQUNoNet4437caNrJ3lXy8sFhw4EChatm/3FYIAJyV7MVXD6tUMnr/7blqmPB6O94c/pKAbbvmHWbOcRVxJiVUXbfVqrppXrfINxjXV9nNzh3dsQRAmDjk5wP33WyEehYXAAw+E9jQ4FVa2izcny7hS1vakJOcYssTEyDLjhXGBWMYmA5mZY9MPsa7O9/XgIOPHGhoCY702b6a4+ugjq4yEiZ2qqOBPsD6R0ZKeDtx+O+PUzOqyvNwq26EU/2+yQufMYQwIQFeiUlJ6QhAEYtydg4ORWepvv51xZceP8/WiRWzPZli7ltZ5u7Vs6VJrAVhZyc4Z6elW2IZxUUppjAmDFH0VYse777Ix7tWrnHja27mi+853OCG5TUcHWzPl5ga2VOrrA37zG6sReFsbM5ZWrmSxxtmzx3y4giBMILq7g5fTaGpi67T2dgq91at9E6EaGhi3umcPF6nr1gGf+IRzBwEhrpAK/EJ0aM3My5YWuu+GUz6iuxv4xS/YHsnU05o+nfFpDz7IXojxzOAg64w1N9M6JgJMEARBGAFSgV+InP5+4KmnrIbeAGO1IqkXZic1lc3BDx6kMMvJsWpoHTwY/2LMpIwLgiCMFl4vy9uY/perVjnH0AqTChFjAuO27EIMoMtxxQpg6tToPistLdAFCIxOwoAgCEK8MjDAriEff0zX5LXXMhb2zTd9aw2eP0+r/DXXuDdWwXXkCSkwHsEfrTlJRCvGZs4MbJE0Gn0eBUEQ4pkXX/Stb/j885xXnUJt9uwRMTbJkdIWAtOzo9keCqVYKqKigtk/RUXA5z4n8VeCIEweurtZrd+fPXuce1L29o7+mIS4RixjAq1WBw6w8rxh1arhiTGApTQ+85nYjE0QBGG8MTDgXJV/cJCxs6bMhUFiVSc9IsYE1qx59FGu5Ew25bx5bo9qYlJXB+zfz4m6okKqZwvCRCQzk96Ac+d8ty9ZwsXv88+zbVxCAgvAbtrkzjiFuEFKW0x2tGZtm/R0CbIfbY4eBZ59lufccOedkkklCBORtjbghReAs2c5t65YwXqLpn7Y1avMpnSqOyZMGKS0hRCemhrgpZfYrmjKFFaZX7vW7VFNXHbu9BViZpuIMUGYeGRnA1/6EtDVRTGWnOz7+/R0V4YlxCcSwD9Z6e4GnnnG6hvZ0wO89hpXccLo4N+jE6BV0r9huiAIE4e0tEAhJgh+iBibrJw65dsLzWB6Mgqxxyk+zDQrFwRBECYtIsYmKykpztslfmH02LIFyM+3XmdnA3fc4d54BEEQhLhAYsYmK2VlbFXU3GxtS05mkKkQGVoDp0+ze0FeHjOlQiVB5OQATzzB/b1esYoJgiAIAESMTV4SEhhcun0706/z8oAbbgByc90eWezRmsVoY81LLwHV1dbr3buBhx8OHR+iFJuQC4IgCMIQrogxpdR/A3AXAC+ARgBf0lqfd2Msk5rMTOBTn3J7FKNHXx/w6qu+DXk3b7ZSy0fCxYu+QgwALlxg8VxpayIIgiBEgVsxYz/UWldorZcDeBnAf3ZpHMJE5q9/ZYHVgQG2G3n/fZaSiAWNjc7b7V0MBEEQhktnJz0Xf/wj8OGHnMeECYsrljGtdbvtZTqA8VN5VogNvb2caE6cYL2ddeuARYti9/kDA8694Q4cAG66aeSfX1QU3XZBEIRI6eoCfv5zFo4FgCNHgGPHgIcecndcwqjhWjalUuoHSqk6AJ+HWMYmH3/6E2OsWlrYIuiZZ4CTJ2P3+Uo5x4nFwkUJMCvyuut8t5WUAJWVsfl8QRAmL/v3W0LMcOaM1IGcwIyaZUwp9SaA6Q6/+r7W+i9a6+8D+L5S6nsAvgHgvwT5nK8A+AoAzJ49e7SGK4wlra3OwquqCigvj80xEhPZ+9E/riuW2aK33gosXcrsyPx8ZqjGSuwJgjB5cSoQHWq7MO4ZNTGmtd4c4a5bAbyCIGJMa/0kgCcB9qaMzehC0NND11liIjB/PpCUNOqHnHQ4FZsNtX243H47/34HD1oB/Bs2xPYYM2fyRxAEIVaUlnJxakcysSc0bmVTlmutjWnkLgDH3BhHAHV1wNatFGQAsw0fesi3UKcwcgoL+eMfBL90aWyPk5REQXbjjSxyK1YrQRDGAwsXAitXWpb9xEQWjc7JcXdcwqjhVp2xf1BKLQBLW9QCeNylcfjy179aQgwAOjqAbduABx5wb0wTlc99DnjhBaC+nnW51qyJfcPs2lrg5ZeBpiYK602bpKitIAjxj1IsO7R+PXD5Mq3vGRluj0oYRdzKprzHjeOGpL+ftaP8qasb+7HEI6dOMc4rI4OCZqQTQ14e8OijzBpKSoq9O7i3F/j97y1x3dEBvPgiUFAAzJoV22N5vSyb8fHHtMBdc01sM0MFQZic5OXxR4gdBw9yvu7qogXy5puDtwccQ6QCv8HjoQnYP0BSXJTAm28C775rvd69G3jssdiYzNPSRv4ZTpw86WvlBFiJ//Dh2IuxV14B9u61Xp85A3z2s8DixbE9jiAIgjB8jh4Fnn/eer1nD5/5Dz7o3piGkCAag1JUyPZyCB4PXVuTmc5OriLsXL0auC3eCNYjcjQscPv3B27fvTu2xxEEQRBGhn3RbDhxIrCMiAuIZczOsmW0hB0+zIDJykoxEV+5QjecP5cvj/1YoqG8PNDS6fEAy5fH9jh9fcDgYOD27u7YHkcQBEEYGf39ztvjoLuBiDF/Zszgz0SluRl46y0GzhcU0PIXqjRDYSH96b29vtvjveZbYiIzYd98k43Q8/OZVRlrcZ2ZSbdnfb3vdnFRCsLEobWVYQ65uW6PRBgJy5bxeWCnqCgujC4ixiYT/f3Ab37DYHYAaG9ngsITTwDZ2c7vSUkBPvEJ4C9/sSxkRUXA2rVjMuQRkZsL3Hff6B/nnnvYUaChgeUzli4FNm4c/eMKgjC6dHXx3j59mq9nz2Y8qGQ2jk9Wr+Zzb88eGhjmzgXuusvtUQEAlNbjpy3k6tWr9V4nn+/UgXWVAAAMMElEQVRo0tjI4PXmZra72bgRSE0d2zHEikOHgOeeC9y+aRNw/fWh39vezgkpIwOYN8+51dBkp7WVZTpGKylBEISx5YUXgI8+8t22cCFw//3ujGc06esD9u0DLlwApk9nqaE4yDIcFQYH6Zocg++nlNqntV4dbj+xjIWitRX45S8tF11DAzPlvvKV8SlGgvnLg223k5UV+3iriYYUZBSEicXx44HbTpygy3I8PgOCMThIr8n583x98CB/Hn00eDLUeCYxkT9xhGRThqK6OjBW6sIFCrLxyIIFgdmESgFLlrgzHkEQhHjGyQsyZUr8CrGuLuC991jA/OOPKRoj4dgxS4gZLl7kZwhjgoixUHR1Rbc93klPp3ndBCtmZQF3302TtCAIguDLdddFti0e6OwEfvYzdo2pqgKefRZ46aXI3nvlivP2lpbYjU8IyQS0P8aQBQsC65IkJTFmarwybx7wjW+wIKr0axQEQQjONdfQOlZdzQSm5cvjt6VaVVVgvazqarZUCpctOHdudNuFmCNiLBTl5SyH8O67DPZLT2e/sPEawG9Qavx/B0EQhLFg2TL+xDvBaj82N4cXYzNnAhs20MVp4uHWrmXS2ljj9TKOeaImDwRBxFg4bryRF2VbG2tVxVnQnyAIgiBg9mzgyBHfbYmJoetI2tm8mRmUFy4A06a5U3urqgrYsYNdXoqKgDvvnNh1P22IjyoSpkzhxSlCTBAEQYhHVq70dSsqBdx6Kz06kZKby4LVbgixmhomHly9ytfnzwNbt8ZFdfyxQCxjgiAIgjDeSUpi15HaWpZlmjMneDHveOTw4cBtnZ3A2bNAWdmYD2esETEmCIIgCBOFkhJ3Yr1GSjDP00Ssc+aAuCkFQRAEQXCXlSsDs/sLCsansBwGIsYEQRAEQXCXoiLgwQeB4mK23Vu2DPjCF+K3wG6MmRz2P0EQBEEQ4puyskkRH+aEWMYEQRAEQRBcRMSYIAiCIAiCi4gYEwRBEARBcBERY4IgCIIgCC4iYkwQBEEQBMFFRIwJgiAIgiC4iIgxQRAEQRAEFxExJgiCIAiC4CIixgRBEARBEFxExJggCIIgCIKLiBgTBEEQBEFwERFjgiAIgiAILiJiTBAEQRAEwUVEjAmCIAiCILiIiDFBEARBEAQX8bg9AGEc0tgI1NUB+flASYnboxEEQRCEcY2rYkwp9V0APwJQoLW+7OZYhAh56y1g1y7r9fz5wP33AwliZBUEQRCE4eDaE1QpVQxgC4Bzbo1BiJKmJl8hBgAnTgBHjrgzHkEQBEGYALhpzvgJgP8AQLs4BiEa6uudt9fVje04BEEQBGEC4YoYU0rdBaBBa/1RBPt+RSm1Vym1t6mpaQxGJwQlP995e0HB2I5DEARBECYQoxYzppR6E8B0h199H8B/Al2UYdFaPwngSQBYvXq1WNHcpLgYWLwY+Phja9u0aUBlpXtjEgRBEIRxzqiJMa31ZqftSqllAOYC+EgpBQCzAFQrpa7RWl8crfEIMeLee4GjR61syooKIDnZ7VEJgiAIwrhlzLMptdaHABSa10qpswBWSzblOCEhAViyhD+CIAiCIIwYqUcgCIIgCILgIq4XfdVaz3F7DIIgCIIgCG4hljFBEARBEAQXETEmCIIgCILgIiLGBEEQBEEQXETEmCAIgiAIgouIGBMEQRAEQXAREWOCIAiCIAguImJMEARBEATBRUSMCYIgCIIguIiIMUEQBEEQBBdRWmu3xxAxSqkmALVBfp0PQPpbhkfOU3jkHIVHzlF45BxFhpyn8Mg5Ck+8nqMSrXVBuJ3GlRgLhVJqr9Z6tdvjiHfkPIVHzlF45ByFR85RZMh5Co+co/CM93MkbkpBEARBEAQXETEmCIIgCILgIhNJjD3p9gDGCXKewiPnKDxyjsIj5ygy5DyFR85ReMb1OZowMWOCIAiCIAjjkYlkGRMEQRAEQRh3TCgxppT6b0qpg0qpA0qpN5RSRW6PKd5QSv1QKXVs6Dy9oJTKcXtM8YhS6j6l1BGllFcpNW4zdEYDpdRtSqnjSqlTSqn/6PZ44g2l1K+UUo1KqcNujyVeUUoVK6W2K6U+HrrPvuX2mOIRpdQUpdQepdRHQ+fp/3N7TPGKUipRKbVfKfWy22MZDhNKjAH4oda6Qmu9HMDLAP6z2wOKQ7YBWKq1rgBwAsD3XB5PvHIYwGcAvOP2QOIJpVQigH8FcDuAxQAeUEotdndUccdvANzm9iDinAEA39VaLwawFsATch050gtgk9a6EsByALcppda6PKZ45VsAjro9iOEyocSY1rrd9jIdgATE+aG1fkNrPTD0cjeAWW6OJ17RWh/VWh93exxxyDUATmmtT2ut+wD8AcBdLo8prtBavwOgxe1xxDNa6wta6+qh/3eAD9GZ7o4q/tCkc+hl0tCPPNf8UErNAnAHgF+4PZbhMqHEGAAopX6glKoD8HmIZSwcXwbwqtuDEMYVMwHU2V7XQx6iwghQSs0BsALAh+6OJD4Zcr8dANAIYJvWWs5TIP8E4D8A8Lo9kOEy7sSYUupNpdRhh5+7AEBr/X2tdTGArQC+4e5o3SHcORra5/ugq2CreyN1l0jOkyAIo4dSKgPAcwC+7efZEIbQWg8Ohd7MAnCNUmqp22OKJ5RSnwTQqLXe5/ZYRoLH7QFEi9Z6c4S7bgXwCoD/MorDiUvCnSOl1JcAfBLAzXoS1zaJ4loSLBoAFNtezxraJghRoZRKAoXYVq31826PJ97RWrcqpbaD8YiSHGKxHsCnlFKfADAFQJZS6imt9d+4PK6oGHeWsVAopcptL+8CcMytscQrSqnbQHPup7TWXW6PRxh3VAEoV0rNVUolA7gfwIsuj0kYZyilFIBfAjiqtf6x2+OJV5RSBSbjXSmVCuAWyHPNB63197TWs7TWc8D56O3xJsSACSbGAPzDkJvpIIAtYHaF4MtPAWQC2DZUAuTf3R5QPKKUulspVQ/gOgB/VUq97vaY4oGh5I9vAHgdDLp+Vmt9xN1RxRdKqd8D+ADAAqVUvVLqEbfHFIesB/AFAJuG5qEDQ5YNwZcZALYPPdOqwJixcVm6QQiNVOAXBEEQBEFwkYlmGRMEQRAEQRhXiBgTBEEQBEFwERFjgiAIgiAILiJiTBAEQRAEwUVEjAmCIAiCILiIiDFBEOICpdSgrczBAaXUHKXUaqXUP0fxGTlKqa9Hc4xhjDPkMQRBEKJFSlsIghAXKKU6tdYZEe7rsTW8t2+fA+BlrbVjy5hojhHi2CGPEeJ9iVrrwZEcWxCEiYlYxgRBiFuUUjcqpV4e+v9/VUr9Tin1HoDfKaWWKKX2DFm4Dg514PgHAPOGtv0wwmMkKqV+qJSqGvqcrw5tz1BKvaWUqlZKHbL1LPU5hn2MQ+/76VDLMSilziql/pdSqhrAfUqpeUqp15RS+5RSu5RSC2N2sgRBGLeMu96UgiBMWFKVUgeG/n9Ga323wz6LAWzQWncrpf4FwP/WWm8das2UCOA/Alg61Fg50mM8AqBNa71GKZUC4D2l1BsA6gDcrbVuV0rlA9itlHrR/xhKqRvDfK9mrfXKoX3fAvC41vqkUupaAP8GYFO4EyMIwsRGxJggCPFCdwgRZXhRa9099P8PAHxfKTULwPNDAmc4x9gCoEIpde/Q62wA5QDqAfwPpdT1ALwAZgKYFuF3sfMMQEsbgHUA/mgbZ8owPk8QhAmGiDFBEMYTV81/tNZPK6U+BHAHgFeG3Iunh/GZCsDfaq19+o8OuRoLAKzSWvcrpc4CmOLw/gH4hnz472PGnACgNQLBKQjCJENixgRBGJcopUoBnNZa/zOAvwCoANABIDPKj3odwNeUUklDnztfKZUOWsgah4TYTQBKhvb3P0YtgMVKqRSlVA6Am50OorVuB3BGKXXf0HGUUqoyyrEKgjABETEmCMJ45bMADg/FgC0F8FutdTMY83U40gB+AL8A8DGAaqXUYQA/A70GWwGsVkodAvBFAMcAwP8YWus6AM8CODz07/4Qx/o8gEeUUh8BOALgrhD7CoIwSZDSFoIgCIIgCC4iljFBEARBEAQXETEmCIIgCILgIiLGBEEQBEEQXETEmCAIgiAIgouIGBMEQRAEQXAREWOCIAiCIAguImJMEARBEATBRUSMCYIgCIIguMj/D1VMyss813MdAAAAAElFTkSuQmCC\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"X, y = make_classification(n_samples=1000, n_features=2, n_redundant=0, random_state=SEED)\n",
"plot(X, y)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Red labels represent examples of class 0 and blue represent examples of class 1."
]
},
{
"cell_type": "code",
"execution_count": 378,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"class InstanceLearner(object):\n",
" def __init__(self, X, y, eval_func):\n",
" self.X = X\n",
" self.y = y\n",
" self.eval_func = eval_func\n",
" self.score = -np.inf\n",
" \n",
" def init_classifier(self):\n",
" return KNeighborsClassifier(n_jobs=-1)\n",
" \n",
" def evaluate(self, classifier):\n",
" classifier.fit(scale(self.X), y)\n",
" yhat = classifier.predict(scale(self.X))\n",
" return self.eval_func(self.y, yhat)\n",
" \n",
" def get_classifiers(self, space):\n",
" classifiers = []\n",
" \n",
" for k in space.keys():\n",
" for v in space[k]:\n",
" classifier = self.init_classifier()\n",
" classifier.set_params(**{k:v})\n",
" \n",
" classifiers.append(classifier)\n",
" \n",
" return classifiers\n",
" \n",
" def optimize(self):\n",
" space = {'n_neighbors': [1, 3, 5]}\n",
" self.classifiers = self.get_classifiers(space)\n",
" self.scores = []\n",
" \n",
" for classifier in self.classifiers:\n",
" mscore = self.evaluate(classifier)\n",
" self.scores.append(mscore)\n",
" \n",
" if mscore > self.score:\n",
" self.opt_classifier, self.score = classifier, mscore\n",
" \n",
" return self.opt_classifier, self.score\n",
" \n",
" def show(self):\n",
" for index, classifier in enumerate(self.classifiers):\n",
" print('Classifier : {}'.format(classifier))\n",
" print('Score : {}'.format(self.scores[index]))\n",
" print('*' * 100)\n",
" print()"
]
},
{
"cell_type": "code",
"execution_count": 379,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classifier : KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
" metric_params=None, n_jobs=-1, n_neighbors=1, p=2,\n",
" weights='uniform')\n",
"Score : 1.0\n",
"****************************************************************************************************\n",
"\n",
"Classifier : KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
" metric_params=None, n_jobs=-1, n_neighbors=3, p=2,\n",
" weights='uniform')\n",
"Score : 0.944\n",
"****************************************************************************************************\n",
"\n",
"Classifier : KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
" metric_params=None, n_jobs=-1, n_neighbors=5, p=2,\n",
" weights='uniform')\n",
"Score : 0.927\n",
"****************************************************************************************************\n",
"\n"
]
}
],
"source": [
"learner = InstanceLearner(X, y, accuracy_score)\n",
"optimal_classifier, best_score = learner.optimize()\n",
"learner.show()"
]
},
{
"cell_type": "code",
"execution_count": 380,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best classifier : KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
" metric_params=None, n_jobs=-1, n_neighbors=1, p=2,\n",
" weights='uniform')\n",
"Best score: 1.0\n"
]
}
],
"source": [
"print('Best classifier : {}'.format(optimal_classifier))\n",
"print('Best score: {}'.format(best_score))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We gave a search space to our learner i.e `{n_neighbors: [1, 3, 5}` and evaluation function as `accuracy` which means it would consider nearest neighbor classifiers that take into account nearest ( 1, 3 and 5 ) neighbors and out of those find the one with the highest accuracy score.\n",
"\n",
"\n",
"|Representation|Evaluation|Optimization|\n",
"|--------------|----------|--------|\n",
"|Instance based |Accuracy | Greedy Search |\n",
"|Hyperplane |Precision and Recall | Beam Search |\n",
"|Decision Tree |Square Error | Gradient Descent |\n",
"|Sets of rules |Precision and Recall | Branch and Bound |\n",
"|...|...|...|\n",
"\n",
"If we plan to use some different evaluation function we could try out different evaluation functions from this list and see what is the best possible classifier for that combination also currently we are doing exhaustive search, we can change to different optimization function to see if results vary or not.\n",
"\n",
"Most textbooks order algorithms by __representation__ only and overlook the fact that __evaluation and optimization__ are also important.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## It's Generalization that counts. \n",
"\n",
"Fundamental goal in machine learning is to generalize beyond training examples seen by the system. Let's think about it, suppose we have a dataset of size 1M with 100 boolean features ( features that can take only 0 or 1 ), then there can be $2^{100}$ different training examples possible and we have seen only 1 million of them as our training set what about the rest $2^{100}$ - 1M examples\n",
"\n",
"In the above example we made the most common mistake among machine learning beginners which is to test on the training data and have illusion of success. So ideally we must always take some out the examples as the validation set and check our classifier's performance on that.\n",
"\n",
"So we would have to reimplement our evaluate function from previous section to take care of this.\n",
"\n",
"- We would consider only first 700 examples from total 1000 examples as training set.\n",
"- Rest 300 examples would form validation set.\n",
"- Evaluation score would be performance on 300 examples rather than whole of dataset as we did before, this should give us better estimate of classifier's performance."
]
},
{
"cell_type": "code",
"execution_count": 381,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def evaluate(self, classifier):\n",
" self.X = scale(self.X)\n",
" \n",
" Xtr, ytr = self.X[:700], self.y[:700]\n",
" Xval, yval = self.X[700:], self.y[700:]\n",
" \n",
" classifier.fit(Xtr, ytr)\n",
" yhat = classifier.predict(Xval)\n",
" \n",
" return self.eval_func(yval, yhat)"
]
},
{
"cell_type": "code",
"execution_count": 382,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.9033333333333333"
]
},
"execution_count": 382,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"evaluate(learner, KNeighborsClassifier(n_neighbors=1, n_jobs=-1))"
]
},
{
"cell_type": "code",
"execution_count": 383,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"InstanceLearner.evaluate = evaluate"
]
},
{
"cell_type": "code",
"execution_count": 384,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Classifier : KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
" metric_params=None, n_jobs=-1, n_neighbors=1, p=2,\n",
" weights='uniform')\n",
"Score : 0.9033333333333333\n",
"****************************************************************************************************\n",
"\n",
"Classifier : KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
" metric_params=None, n_jobs=-1, n_neighbors=3, p=2,\n",
" weights='uniform')\n",
"Score : 0.91\n",
"****************************************************************************************************\n",
"\n",
"Classifier : KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
" metric_params=None, n_jobs=-1, n_neighbors=5, p=2,\n",
" weights='uniform')\n",
"Score : 0.91\n",
"****************************************************************************************************\n",
"\n"
]
}
],
"source": [
"learner = InstanceLearner(X, y, accuracy_score)\n",
"optimal_classifier, best_score = learner.optimize()\n",
"learner.show()"
]
},
{
"cell_type": "code",
"execution_count": 385,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best classifier : KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
" metric_params=None, n_jobs=-1, n_neighbors=3, p=2,\n",
" weights='uniform')\n",
"Best score: 0.91\n"
]
}
],
"source": [
"print('Best classifier : {}'.format(optimal_classifier))\n",
"print('Best score: {}'.format(best_score))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the previous section our learner returned a classifier ( 1NN ) with score of 1.0 ( perfect ) but now after taking out holdout set and evaluating classifier on it the learner thinks that ( 3NN ) with score of 0.91 is the best classifier out of set of classifiers and performance of ( 1NN ) on unseen dataset is low compared to this classifier, this is what the author referred to as __illusion of success__. \n",
"\n",
"Generalization being the main goal has some consequences\n",
"\n",
"- Unlike in most optimizations we don't have access to function that we want to optimize.\n",
"- We need to consider train error as a proxy to test error and this is fraught with danger.\n",
"- But one good thing about this is that since it is a proxy we don't need to fully optimize it, infact a local optimum found by greedy search may be better than global optimum."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Data alone is not enough. \n",
"\n",
"Generalization being the main goal has one more consequence, data alone is not sufficient no matter how much you have it, since there are $2^{100}$ - 1M examples out there that our classifier has not seen. So how do you figure out classes for all those examples ? In the absence of any other information our classifier would do no better than a coin-toss. Many machine learning mistakes stem from failing to acknowledge this fact.\n",
"\n",
"Every learner must embody some knowledge or assumptions beyond the data it's given in order to generalize beyond it.This feels like a depressing situation but luckily the functions that we want to learn are __not__ drawn uniformaly from the set of all possible mathematical functions. In practice many times similar examples have same class labels and underlying function is smooth which makes it to realize ML in practice.\n",
"\n",
"Note that we introduced the concept of **Representation** earlier, now the way to choose it is the one in which we could express our knowledge easily. e.g In problem of estimating house prices we know from domain knowledge that houses similar to the one in question demand similar kind of prices so we could use this knowledge by using instance based methods ( e.g. nearest neighbor based methods ), in a different problem if we have knowledge about what kinds of preconditions are required by each class, “IF . . . THEN . . .” rules may be the the best option.\n",
"\n",
"Machine learning is not magic; it can’t get something from nothing. What it does is get more from less. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Overfitting has many faces. \n",
"\n",
"What if the knowledge and data is not sufficient to determine the correct classifier ? Then we risk of just hallucinating the classifier by learn random quirks in the data. This is called `overfitting` which is one of the major challenges in Machine Learning. e.g. When your classifier reports 100% accuracy on training examples but only 50% accuracy on test examples then it has overfit.\n",
"\n",
"Overfitting could come in various forms, so to understand it better it is important to decompose generalization error into two parts `bias` and `variance`\n",
"\n",
"`Bias` : learner's tendency to consistently learn the same wrong thing.\n",
"\n",
"`Variance`: learner's tendency to learn random things irrespective of real signal.\n",
"\n",
"To explain we can look at decision boundaries of two classifiers, linear model has very high `bias` because when the decision boundary between two classes is not a hyper-plane then it is not able to induce it, but decision tree classifier can learn very complicated boundaries but suffer from high variance."
]
},
{
"cell_type": "code",
"execution_count": 392,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def plot_decision_boundary(X, y, classifier):\n",
" classifier.fit(X, y)\n",
" h = .02\n",
"\n",
" x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5\n",
" y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5\n",
"\n",
" xx, yy = np.meshgrid(np.arange(x_min, x_max, h), np.arange(y_min, y_max, h))\n",
" Z = classifier.predict(np.c_[xx.ravel(), yy.ravel()])\n",
"\n",
" # Put the result into a color plot\n",
" Z = Z.reshape(xx.shape)\n",
" plt.figure(1, figsize=(10, 6))\n",
" plt.pcolormesh(xx, yy, Z, cmap=plt.cm.Paired)\n",
"\n",
" # Plot also the training points\n",
" plt.scatter(X[:, 0], X[:, 1], c=y, edgecolors='k', cmap=plt.cm.Paired)\n",
" plt.xlabel('Feature 1')\n",
" plt.ylabel('Feature 2')\n",
"\n",
" plt.xlim(xx.min(), xx.max())\n",
" plt.ylim(yy.min(), yy.max())\n",
" plt.xticks(())\n",
" plt.yticks(());"
]
},
{
"cell_type": "code",
"execution_count": 395,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"classifier = LogisticRegression(random_state=SEED)\n",
"plot_decision_boundary(scale(X), y, classifier)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As you can see a linear classifier tries to find a line that would separate two classes but a line cannot separate examples from two class so this model has very high bias."
]
},
{
"cell_type": "code",
"execution_count": 393,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"classifier = DecisionTreeClassifier(random_state=SEED)\n",
"plot_decision_boundary(scale(X), y, classifier)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Decision tree classifier doesn't suffer from this and is able to find complicated decision boundaries to separate the classes, but suffer from high variance because the performance of decision tree classifier trained on different set of training examples would be different."
]
},
{
"cell_type": "code",
"execution_count": 402,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shuffled_indices = np.random.permutation(np.arange(len(X)))\n",
"\n",
"Xtr_v2, ytr_v2 = X[shuffled_indices[:750]], y[shuffled_indices[:750]]\n",
"\n",
"classifier = DecisionTreeClassifier(random_state=SEED)\n",
"plot_decision_boundary(Xtr_v2, ytr_v2, classifier)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Decision boundaries of above two decision tree classifiers are different which point to the claim that author is trying to make that decision tree classifiers trained on different training examples turn out to be different."
]
},
{
"cell_type": "code",
"execution_count": 404,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,\n",
" max_features=None, max_leaf_nodes=None,\n",
" min_impurity_decrease=0.0, min_impurity_split=None,\n",
" min_samples_leaf=1, min_samples_split=2,\n",
" min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
" splitter='best')"
]
},
"execution_count": 404,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"DecisionTreeClassifier()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For decision tree classifiers there are many parameters that we need to tune like `depth`, `max_features` etc. to get the best classifier that doesn't overfit. We could use cross-validation to find out optimal values for these parameters.\n",
"\n",
"Cross-Validation is a method of randomly dividing your training data into (say) 5 subsets, holding out each\n",
"one while training on the rest. But this is no panacea and using it to make too many parameter choices can cause overfitting as well.\n",
"\n",
"Besides cross-validation we could use `regularization` which penalizes classifier more structure and favoring ones with less room to overfit.\n",
"\n",
"We should be skeptical of claims that a particular technique `solves` the overfitting problem. It’s easy to avoid overfitting (variance) by falling into the opposite error of underfitting (bias). Simultaneously avoiding both requires learning a perfect classifier, and short of knowing it in advance there is no single technique that will always do best (__no free lunch__)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Intuition fails in high dimensions. \n",
"\n",
"After overfitting biggest problem in Machine Learning is the problem of `curse of dimensionality`. It says generalization becomes exponentially harder as the dimensionality (number of features) of the examples grows, because a fixed-size training set covers a dwindling fraction of the input space.\n",
"\n",
"Even with a moderate dimension of 100 and a huge training set of a trillion examples, the latter covers only a fraction of about $10^{−18}$ of the input space. This is what makes machine learning both necessary and hard.\n",
"\n",
"Nearest neighbor has a problem even if all 100 features are relevant! This is because in high dimensions all examples look alike and all of the neighbors would be roughly at equal distances from the example in question, we can see this in action, we will create a synthetic dataset with 5000 examples and 150 relevant features and see the performance of KNN compared to the dataset with 5000 examples and only 10 relevant features."
]
},
{
"cell_type": "code",
"execution_count": 429,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy on training set: 0.9426666666666667\n",
"Accuracy on validation set: 0.9094117647058824\n"
]
}
],
"source": [
"X, y = make_classification(n_samples=5000, n_features=10, n_informative=10, n_redundant=0, random_state=SEED)\n",
"\n",
"X_scaled = scale(X)\n",
"Xtr, ytr = X_scaled[:750], y[:750]\n",
"Xval, yval = X_scaled[750:], y[750:]\n",
"\n",
"knn = KNeighborsClassifier(n_neighbors=3, metric='minkowski', n_jobs=-1)\n",
"knn.fit(Xtr, ytr)\n",
"\n",
"knn_tr_preds = knn.predict(Xtr)\n",
"knn_val_preds = knn.predict(Xval)\n",
"\n",
"print('Accuracy on training set: {}'.format(accuracy_score(ytr, knn_tr_preds)))\n",
"print('Accuracy on validation set: {}'.format(accuracy_score(yval, knn_val_preds)))"
]
},
{
"cell_type": "code",
"execution_count": 430,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy on training set: 0.952\n",
"Accuracy on validation set: 0.8675294117647059\n"
]
}
],
"source": [
"X, y = make_classification(n_samples=5000, n_features=150, n_informative=150, n_redundant=0, random_state=SEED)\n",
"\n",
"X_scaled = scale(X)\n",
"Xtr, ytr = X_scaled[:750], y[:750]\n",
"Xval, yval = X_scaled[750:], y[750:]\n",
"\n",
"knn = KNeighborsClassifier(n_neighbors=3, metric='minkowski', n_jobs=-1)\n",
"knn.fit(Xtr, ytr)\n",
"\n",
"knn_tr_preds = knn.predict(Xtr)\n",
"knn_val_preds = knn.predict(Xval)\n",
"\n",
"print('Accuracy on training set: {}'.format(accuracy_score(ytr, knn_tr_preds)))\n",
"print('Accuracy on validation set: {}'.format(accuracy_score(yval, knn_val_preds)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The performance of the classifier went down even though all the features added were relevant to the target variable. It is easy to design a classifier when we are working in 2 or 3 dimensions but as we increase the dimensionality it becomes difficult to understand what exactly is going on. Naively, one might think that gathering\n",
"more features never hurts, since at worst they provide no new information about the class. But in fact their benefits may be outweighed by the curse of dimensionality.\n",
"\n",
"Fortunately, there is an effect that partly counteracts the curse, which might be called the `blessing of non-uniformity.` In most applications examples are not spread uniformly throughout the instance space, but are concentrated on or near a lower-dimensional manifold. For example, k-nearest neighbor works quite well for handwritten digit recognition even though images of digits have one dimension per pixel, because the space of digit images is much smaller than the space of all possible images."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Theoretical gurantees are not what they seem. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Machine learning papers are full of theoretical guarantees. The most common type is a bound on the number of examples needed to ensure good generalization. What should you make of these guarantees ? First of all, it’s remarkable that they are even possible. The main role of theoretical guarantees in machine learning\n",
"is not as a criterion for practical decisions, but as a source of understanding and driving force for algorithm design. In this capacity, they are quite useful; indeed, the close interplay of theory and practice is one of the main reasons machine learning has made so much progress over the years. But `caveat emptor`: learning is a complex phenomenon, and just because a learner has a theoretical justification and works in practice doesn’t mean the former is the reason for the latter."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Feature Engineering Is the Key "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some machine learning projects succeed and some fail. What makes the difference? Easily\n",
"the most important factor is the features used. If you have many independent features that each correlate well with the class, learning is easy. Machine learning is not a one-shot process of building a data set and running a learner, but rather an iterative process of running the learner, analyzing the results, modifying the data and/or the learner, and repeating.\n",
"\n",
"One of the holy grail of Machine Learning is automatize feature generation process, currently how it is done is that we generate huge amount of features and then work out which ones work for the problem. But bear in mind that features that look irrelevant in isolation may be relevant in combination.\n",
"\n",
"Let's take the example of XOR function of `k` input features, each of them by itself carry no information but when we combine these `k` features it suddenly becomes relevant."
]
},
{
"cell_type": "code",
"execution_count": 431,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X = np.empty(shape=(1000, 2), dtype=np.uint8)\n",
"X[:, 0], X[:, 1] = np.random.randint(2, size=len(X)), np.random.randint(2, size=len(X))\n",
"\n",
"y = np.apply_along_axis(lambda x: reduce(np.logical_xor, x), axis=1, arr=X).astype(np.uint8)\n",
"\n",
"X = pd.DataFrame(X)\n",
"y = pd.Series(y)"
]
},
{
"cell_type": "code",
"execution_count": 432,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot(X.values, y.values)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Red and Blue Labels are coinciding on top of each other, it is very difficult to find a linear separation between two classes."
]
},
{
"cell_type": "code",
"execution_count": 434,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
],
"text/plain": [
"col_0 0 1\n",
"1 \n",
"0 263 257\n",
"1 236 244"
]
},
"execution_count": 435,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.crosstab(X.iloc[:, 1], y)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"These two features are not very relevant as we can see from the contingency tables that almost $(1/4)^{th}$ of total examples ( ~250 ) fall in each of the 4 buckets."
]
},
{
"cell_type": "code",
"execution_count": 436,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy on the holdout set: 0.26\n"
]
}
],
"source": [
"log = LogisticRegression(random_state=SEED)\n",
"\n",
"Xtr, ytr = X[:750], y[:750]\n",
"Xval, yval = X[750:], y[750:]\n",
"\n",
"log.fit(Xtr, ytr)\n",
"log_preds = log.predict(Xval)\n",
"\n",
"print('Accuracy on the holdout set: {}'.format(accuracy_score(yval, log_preds)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is evident by the accuracy produced by the classifier trained on it. Now if we merge the two features $x_1$ and $x_2$ and create [one-hot encoding](https://machinelearningmastery.com/why-one-hot-encode-data-in-machine-learning/) of this variable we would find different results"
]
},
{
"cell_type": "code",
"execution_count": 437,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X = pd.concat((X, pd.get_dummies(X.iloc[:, 0].astype(np.str) + '_' + X.iloc[:, 1].astype(np.str))), axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 438,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy on the holdout set: 1.0\n"
]
}
],
"source": [
"log = LogisticRegression(random_state=SEED)\n",
"\n",
"Xtr, ytr = X[:750], y[:750]\n",
"Xval, yval = X[750:], y[750:]\n",
"\n",
"log.fit(Xtr, ytr)\n",
"log_preds = log.predict(Xval)\n",
"\n",
"print('Accuracy on the holdout set: {}'.format(accuracy_score(yval, log_preds)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By just adding this combination we were able to learn perfect classifier, that is why the author emphasizes that feature engineering is the key."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## More data beats cleverer algorithm "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Suppose you’ve constructed the best set of features you can, but the classifiers you’re getting are still not accurate enough. What can you do now? There are two main choices:\n",
"- design a better learning algorithm\n",
"- gather more data\n",
"\n",
"ML researchers are mainly concerned with the former but pragmatically the quickest path to success it getting more data. As a rule of thumb, a dumb algorithm with lots and lots of data beats a clever one with modest amounts of it."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Learn many models not one "
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"Early on everyone had their favorite learners with some `apriori` reasons to believe in its superiority. Most of the effort was then spent to try many variations of it and select the best one.\n",
"\n",
"Then systematic empirical comparisons showed that the best learner varies from application to application, and systems containing many different learners started to appear. Effort now went into trying\n",
"many variations of many learners, and still selecting just the best one. But then researchers noticed that, if instead of selecting the best variation found, we combine many variations, the results are better—often much better—and at little extra effort for the user.\n",
"\n",
"Thus creating `model ensembles` became the standard routine. We will demonstrate a basic ensemble techinque of `averaging` which combines results from various different classifiers."
]
},
{
"cell_type": "code",
"execution_count": 439,
"metadata": {},
"outputs": [
{
"data": {
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\n",
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