Created
March 29, 2017 14:58
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 128, | |
"metadata": { | |
"collapsed": true, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [], | |
"source": [ | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"import matplotlib.pyplot as plt\n", | |
"import seaborn as sns\n", | |
"from sklearn.model_selection import train_test_split\n", | |
"from sklearn.linear_model import LinearRegression\n", | |
"sns.set(color_codes=True)\n", | |
"%matplotlib inline\n", | |
"from scipy.stats import norm\n", | |
"from sklearn.preprocessing import StandardScaler\n", | |
"from scipy import stats\n", | |
"import warnings\n", | |
"warnings.filterwarnings('ignore')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 131, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [], | |
"source": [ | |
"# Load data and drop columns that had missings\n", | |
"df = pd.read_csv('data/train.csv')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 132, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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2yPXTB9kDUaEqlUqeffZZ1q5dy4kTJ3j33XdZs2YNP/74I3FxccTExDBy5Ei++eYbVCpV\no0orOzubxMREwsLCDD9JSUlkZ9cP4ti8eTOnTp0iNjaWAwcO8OGHHzaoPB0dHRttV2lpKSqVCheX\n+i6rdu3aYW1tTXZ2NnPnzjXkjR8/Hq1WS2FhYbPvn6tX0vD29cTaxgqZXEZoRGcSYs9x+tRZovr1\nAKB33wjiTpw1et2piakERbQHwCfIm+yUnAbTzSzMkMmllNwwqKRdaCDblu7gfzMXodXquHjqstG5\nWUnX8OvWBgC3QA8K0hpet1KYmyKVSym/YXBHc8i7kolnZ/2DhZ0C3CjOqG91FqbmYevhiKmlEomJ\nBKcAN0qyCln/xjf8Mm8Nv8xbQ3VpJb9+8rNRmflXsnAP0XeLO/i7UZJZf0JYdC0XW3dHTC3NkJhI\ncPR3ozSrEGs3e3o/N5wjX28n63p3sbEKkrNwD/HV5/q5NsgtvpaHjYcDCkOuK2XZzXPsFiRn4Xb9\nMoC9nyulmfXrLU7Pw9pd3zKUmEhw8HOjLLuoWXKLU7NxCvIGwNbHhfIbymPpZEvk9DEgkSAxMcHe\nz43SjAKKU7JxDvIBwMHfnYoc47elNC0Hx/b6XGsv5wbrMHe0Iez50YZcW19XyjMLaDcqCjt/dwDU\ntY0/0+421yHweq6nM5W5DXO7PTvKkGvj40p5VgG2fu60HRZJwrfbKc8quNWqhVto9YOStm3bxuLF\ni9myRT9owdLSkmHDhpGYmMjZs2fZunUra9euJTAwEIBRo0Y1WoeTkxM9e/bk66+/NryXnp6Ovb39\nXW/HzfrmHRwckMvl5Obm4uWlv7a4bt06/Pz8cHR05MUXX2To0KEA1NXVkZmZiYODw90X/g6GjopB\naa5k3eotfPL+Qhav+gQTEwkbftpOXm4BP63axAfz32TF2i9Qq9S88dL7RmecPZxIYGgg0794EQnw\n47/XED2uDwVZBZw7eh4nTyeKro++/V1eej6T3pyIWqUmJzWXdQvWG517+XgSPp39eeyjKSCRsPPL\nTYSO6EFJThHJJy9h5+5A2Q0jYZtLWuwl3Dv6MPStiSCRcGTpDjo8FEZ5bjHpp5OJW3uIgf8YB0Dq\niYsNKqGmSo+/jFsHbwbNmgASOLZ8J+0HdqM8r4TMhBROrz9Mv1fGAnDt5CVKswrpM20kUrmUsMf6\nAVBXVWsYyHS3MuKv4BrkQ8wbjwJwfOUu2sV0ozy/hKyEFM5sOEzfl8foc0/pc5tD5ukruAZ50/+1\nR0Ai4eTKXQQO6EpFfilZZ1I4u/EIfV56WL+NsZcpa6bcnLMpOAZ6GSrOhB/34BfdmcqCUvLOpZIZ\ne4leL49Fp9GSceoiFblFXNkTS6dH+hH50li0Gi0JP+y+c9Af5J27in0bT33FCZxfux/v3p2oKiyl\n4EIaOfGX6P7Cw+i0WrLjLlGZV0z60bMEPdxHX5HqdCRtPGR0bv6Fq9i18dRXnEhIWr8fr8gQqorK\nKExKI+f0ZUKnjkan1ZITf4mqvGI6ThuARGpC0Fj9cVVVUMKlTcZn/1mSB6Ot14hEdy/6IJtRUVER\nQ4YMYdKkSUyePBlzc3POnz/PjBkzeOqpp/j3v//Nli1b8PDwYP369cyZM4f33nuPRx55xPC1GQsL\nC4YOHcpHH31E3759iYuL45lnnmHlypV06tTpjl+v6d+/P3PnziUiIgKAWbNm4eHhwfTp03n11VeR\nSqW89957ZGZm8re//Y2lS5eSmJjI6tWrWbhwIY6OjsyfP59Dhw6xZcuW2144/zNPqv8zYgK6t0iu\nh23jryXdDw7WyvueKZdJ73smgNSkZa4rmbRQroW5/M4z3QOmihb6+8paZj/3+2DqPVt3n/aNG0Z3\n62DSpmbcEuO0+haqvb093333HZ9++ikxMTHU1tbi5eXF9OnTGT16NHl5eYwbNw6JRELXrl0ZPHgw\nycnJDdZhZ2fHokWLmDt3Lv/4xz+ws7Njzpw5dOrU6U9v35w5c3j//feJjo7GwsKC119/naCgINq3\nb09xcTGPP/44paWlBAcH88UXX7T4KDRBEITWrqUHFzVVq2+h/tWIFur9IVqo955ood4f/x9bqP2C\nHm7ysvsubGjGLTHOg9lRLQiCIAitTKvv8hUEQRD+WsSdkgRBEAThL0y0UAVBEIRW5UEdvCkqVEEQ\nBKFVeVBH+YoKVRAEQWhVHtTHt4lrqIIgCILQDEQLVRAEQWhVHtRRvqJCFQRBEFoVMShJaBYtdcei\n3cknWyT3n8PHtEhuS9wfTGnWMv9uCnnLnO1b25m1SG5xYXWL5Dp7WbVIbtrl4jvPJNwXokIVBEEQ\nWhUxylcQBEEQmoEY5SsIgiAIf2GihSoIgiC0KmJQkiAIgiA0A3ENVRAEQRCagbiGKgiCIAh/YaKF\nKgiCILQqD+qdkh7MrRYEQRCEVka0UAVBEIRWRYzyFe4piUTC2JfH4B7ghlql4adPfqIgqxAA9wB3\nRk8bZZjXp4M3y+esIC89n8dmTUACFOcW89P8tahqVU3KD+kSxIxZU3l6wowG70cPiGTqy0+i0WjY\nuGY7637ciqmpgrkL3sbewY7KyirenvkRxUWlRhYYuj7aHxsPR7RqDbE/7KYyv34dncf1wSHAHXWN\nvjxHl2xBYWFG2BODkABVReXE/bAHjUptfO6E/thezz31fcNc1w4+BA2LQIKE4vQ84n/ch4lcSvjk\nwZhZKVHVqDj57S7qKoy8/Z0EgsdGY+2uzz3z0z6qCupzO4zujb2fG+rrf79Ty7aj02oJHhuNuYM1\nEqmUcxsOUnotz6jMoNF9sHRzQKvWcH7dfqoLywyT243oha2vG+raOgASvv0FdY3+dzs/N4InxHBo\n7irjynmd70M9MXe2R6fRkLL9CLUl5Y3maTd+IMWXr5F3+iJSUzltRvbFRCFDp9GSvOUgqkrj93GH\nh6OxdteXN/HnfVTdUN72I3tj5+eK5vo+jluxA4lEQtQbE6nIKQIgN/EqaYfPGF1ej+hwzBxt0Wm0\nZOw7Rl1pRaN5fIf3o+xqBkXnLiORSfEe1AupqSk6jYb0Pb+hbkJ5Q8b1xfr6sZzw494Gx1THh6Ow\n968/pk5+s412Q8Kx9nACwMzKHFV1LYc/W2t0ef8sMcrXSAcOHGDx4sUkJSWhUCjo2rUrL774IsHB\nwfc8OyMjgwEDBnDx4kXWr1/Phg0bWLVK/8FQUVHBwoUL2blzJ8XFxTg7O/Pwww/z9NNPI5fL/1Ru\nu3bt2LNnD56enkYvG9y7IzKFjM+nf4lPkDcjnx/BsjkrAMhKzuJ/MxcB0Dm6E6UFpSSdvMiT/3yC\n3zb/RtzeeCKGhhM9vg+7v9tjdPaUqY8xfMwgqqsa/kPLZFJee2caj42YSnV1Dd+uW8i+3UcYNnog\nl5NSWPTZCgaP6M+z05/g43e/MCrTvVMAJnIp+z/9CXtfVzqNieK3JVsN0229XTj85UbqKmsM74VO\niuHqobOkn7qIb2RH2g7oStIvxt2j2L1zAFKZlH2f6HM7j4ni6PVcmamckDG9OfDfddRV1hA4MBSF\npRKf8PaUZRVwbNtxPEMDCRrSnYSfDxqV6xrsj4lMytHP12Hr40LQyF7ELttumG7j6cTxr7aguqG8\nbR/qTnlOEQmr92Dl5oC1u4NRFapzBz9MZFJO/m8DNt4uBA6LJOHbXwzTrTyciFu6FVVVTYPlTG0s\n8I7qjETatCtGdoE+mMiknF+1DUt3J3wGhHNpXcPj0rNPN2RmCsNrx5C2VOUXk77/FE6dA3GLCOba\nXuP+ti4d/ZHKpRz7cj023i60G9GL+BU7DNNtPJ049XXD8jq09SQ7/jIXNh1uUlkBrP29kEhNSF63\nC3MXB9x6dSNte8Pjw7VHZ6Sm9eV16NCG6rwi8k4lYtfeH+euHcg6HGtUrmuIvrxHPluLrY8LHUf1\n4uTS+mPK1suJ44s3N/gfOrdBX06JiQm9Xh5Dwpp9TSnynyZG+Rphw4YNvP7660yYMIEjR46wf/9+\nevfuzRNPPMHJky1zk3aA2tpaHn/8ca5du8by5cuJi4vjiy++4ODBg0ybNg1dS9xR/Tq/YD+STl4E\nIO3CNbzaeTWaR2Gm4KEnH2LjlxsBcPFx4cKJJACuJqbiH+zXpOz0a5m8MvXtxtvUxof01EzKyypQ\nq9TEnzxDaHhnunYP4ciBEwAc3n+ciN6hRmc6BriTez4NgKLUHOy8XeonSsDSyZZuEwcQPXM8Pj07\nAGDtak/OuVQACpOzcAhwb1Juzo25PvW5Dv5ulGYW0mlsFH1njqO2rIq6imoc27iTc06/TM65VJzb\neRuda+fnRn7SNQBK0nKx9XJqUF4LJ1s6je9Lz+lj8AwPAsCpnTdajYbwZ0fQdmAY+RfTjcq09XOj\n4JJ+mdJruVh7Nsw0d7QhaGw03Z8fjXtYewBMZFKCHo4maeMho8v4OytPZ0pSMgGoyMrHwtWhwXT7\ndj6gg5KrmYb3qvOLkSr0J7RSUzk6jdboXDs/V8M+Lr2Wi81NyttxXF8ipj2MR3d9ea09nLD2dCb8\nuVF0mTQIUytzo3Mt3Jwov5YNQFVuIeZODctrE+CFTgcV17IM7xWcuUhe7DkA5JbmaOrqjM6193cn\n70L9MWXj5Vw/8fdj6pF+9HppLF4RQQ2W9evTifykdMqzC43ObQ4mEkmTf1rSfa9Qq6urmTt3Lh9+\n+CGjRo3C3NwcpVLJpEmTeOaZZ3jvvffo3bs3cXFxhmWWLVvGtGnTADh37hwTJkwgLCyM8ePHk5iY\nCMDx48cZNWoUjz/+OBEREWRkZHDgwAHGjRtH9+7diYiI4JNPPrnttq1atYq6ujo+++wzfHx8kEgk\nBAYGsnjxYhISEti1axcA/fv35/jx44bl/va3v7F+/XoAzpw5w6RJk+jRowehoaHMnj0bjUbzp/eb\nmbkZNTecSWo1WkxMGv75IoaEk3AggcqyKgCykjPpGNkRgODIjihuOOM3xu4dB1GrG5fB0tKC8vJK\nw+vKymqsrC2wtDQ3vF9ZUYWVlYXRmTIzBarqWsNrnVaHxET/zyJTyEk+cJqTK3ZyZOFGAqI6Ye3u\nSElGAW6d/AFw6+SPTGF8j4LcTIH6FrkKSyXOgZ6c3XiEQws30aZ/FyydbfXbWqNfRl1bh1xp/H6W\nmSkM3al/zJUq5KQeOkP897s58dUWfHoFY+XmgMLCDLnSjBNfbSH3fCpBIyKNyzT9Q6buhky5nPSj\nZ0n8cQ9xS7fh1bMjlq72tB8VRdrB09SWVd5qtXckNVWgqW1YVq5/ECodbXHoEEDGobgGy6ira7Dx\nc6fTMw/jFh5M3pnLTcq93T5OO3KWM6t3c+qbrXj3DMbSzYHK/GKu7DrBicWbyD13laDRUcbnKuRo\n6+ovteh09eU1tbfBtq0vuccTGi+o0+E/agCOndpRmpJhdK7MVI66pv5YRtewvFcPniH+u185tmQz\nvr1CsHLTV/QSqQk+kR1J3hdvdOZf3X2vUE+fPk1NTQ19+/ZtNG3kyJFcunSJkJAQduyo74rZvn07\nw4cPp7y8nGeeeYaJEydy7NgxpkyZwtSpU6mo0F+PSEpKYvLkyezZswc7OzteeeUVXn/9dU6ePMmy\nZctYsWIFKSkpt9y2ffv2MWjQoEZdu9bW1vTv35+9e/fesXwzZsxg3LhxHDt2jI0bN7Jv3z6OHj16\nl3vn1mqqajBVmhpeS0wkaLUNz9K7xXTj+Pb6in7Toi0ER3bghfnPo9PpqPwTH4I3U1FRiYVl/Rm7\nhYWS8rIKKiqqsLBQ6t+zNKe8rPH1ojtR19Q16PJDcv2DF1DXqbmy7zQalRp1rYq8S+nYejpydv1B\n3EP86fPyWNBBrbHXMQHVbXLrKmsoupZLbVkVmloVBVcysfV00m/r9e46mWnDEwGjymt6Y67EkKup\nU3P10Bm0KjWaWhWFlzOwdnegrqqG3HNXAcg9l9qwBXI3mbV1yEzrj3XJjZkqNdcOn9Vn1qkoupKJ\nlbsTtn5u+MeEEfrsSORKU0ImxhhdVk1tnaG1+Xvu78/Tcwxug8LKnKCJg3EKaYNreEds/Dzw6NWV\n7OOJnPlmA0lrdhH4cL8m5d6yvHVq0g7fsI+TM7F2c6DwSiaFV/Qt5dzEq1h7OBqfW6fCRHHD1bUb\nymvXzh8CozdRAAAgAElEQVS5pTn+o2Owa++PU5f2WHq7GWZN2bSH5PW/4jPY+IpcXatq0I38x2Mq\n5WACmuvlLbicgc31sjkFelGYnNXg5EO4O/e9Qi0oKMDGxgaZrPHlWycnfRfMlClT2LlzJzqdjoyM\nDK5evUr//v05cOAAPj4+jBw5EplMxtChQ/Hy8uLgQf31CFNTU2JiYrC0tMTMzIxNmzYRHh5OcXEx\nlZWVmJubU1BQcNttc3Fxuek0Z2fn2y77uxUrVjB69GjKy8spLCzExsbmrpa7k9TEVIIi9N1QPkHe\nZKfkNJhuZmGGTC6l5IYBNO1CA9m2dAf/m7kIrVbHxVPGn9XfztUraXj7emJtY4VMLiM0ojMJsec4\nfeosUf16ANC7bwRxJ84ave6ClGxcO/oCYO/rSllWfdeTlbMtfV99BCQSJCYmOAa4U5yeh3N7bxI3\nH+HggnXodFrykozrAgUoTL51bsm1PGyutwwlJhIcfN0oyy6iIDkLt2D9Mq4dfSm4knWTNd9ecWo2\nTkH6rmJbH5cGXW2WTrZETh9jKK+9nxulGQUUp2TjHOQDgIO/u2HgzN0qSc3B8Xr3tI23S4PlLZxs\n6P7Cw4ZMWz83yjLzOPrJamK/2kzsV5tRVddy9ofdRpe1PDMP2wD9OAJLdyeq8uuf55m+/xTnvt3K\nhR9+If/sFXJOnKP0aibqmlrD4Ch1VQ1SU+N7H4pTc3C6vr9svF0oz6nfxxZOtvSYVr+P7XzdKMvM\nJ3hcP1xD9L0eDm08KM3INzq3MjsfK2/95QdzFwdqCksM03J+i+fK2p2kbNxNcVIK+aeTqLiWjVO3\njtgG6i/RaFWqJj3AtzglG5cO+vI2Oqacben98tj6Y8rfjZLrZXNs50XehTSj85qTRCJp8k9Luu+D\nkhwdHSkqKkKlUjVqCWZn668zuLm5YWpqSmxsLPHx8cTExGBqakp2djaJiYmEhYUZllGr1WRnZ+Pg\n4ICDg4Nhh0qlUnbu3MnKlStRKpWEhISg0+luex3U0dGR3Nzcm07Lz8/Hzs7ujuWLi4vjqaeeQqPR\n0LFjR1QqVbNcez17OJHA0ECmf/EiEuDHf68helwfCrIKOHf0PE6eThTlNHzQcF56PpPenIhapSYn\nNZd1C9b/6e0AGDoqBqW5knWrt/DJ+wtZvOoTTEwkbPhpO3m5Bfy0ahMfzH+TFWu/QK1S88ZL7xud\nkZVwBZf23vR9dTwgIfa7X2nbvysV+SVkn73KtRMX6Pfao+g0GtKOJ1GeXYTMVE745MFo1BrKswuJ\nX7Pf6NzMhCs4B3nT7x/63FOrGuae3XSUqOmjAciIvUxZdiGVBaV0f3IQfWeOR6vRcHz5L7cPuYmc\nsyk4BnoZKs6EH/fgF92ZyoJS8s6lkhl7iV4vj9WPEj11kYrcIq7siaXTI/2IfGksWo2WBCMrt7xz\nKTi09dRXnMC5n/fhHdWJ6oIy8i+kkh13ifBpY9BptWTHXqQyt3keZF18MQ0bX3c6TBoGEkjZdhjX\n7h2pKS6j5MrNT4IyDsXhP6Q3Lt3aIzExIWWH8b0+uYkpOLT1ImLaGCQSOLtmL7599Ps4/3wqmbEX\n6Tldvy+zYi9SkVvMpe2/EfxIf7wjg1HXqTn3s/GDdMpS0rHyciNgzCCQQMaeYzh2bk9daTllqZk3\nXab4QjJeA3pi3yEAiURC+p5jRudmn03GsZ0Xva5XnAk/7Ma/bxcq80vIPZdKxsmLRL0yDq1GS8bJ\nJMMJlaWTLRknk4zOa04tfS20qSS6+zzSpra2lqioKN566y1GjRrVYNqCBQv49ddf2bp1KwsWLKCq\nqorY2Fheeukl+vTpw8aNG9m2bRtff/21YZn09HTs7e1JTExk9uzZhm7ZuLg4pk+fztq1a3Fzc0On\n0xEeHs6XX36Jh4fHTUf5fvPNN6xdu5YtW7Ygl8s5f/48OTk5hIeHM2jQIN58802GDx/OgAEDeP/9\n94mM1F+zGjFiBFOmTCEyMpJBgwaxdu1aAgMDARg1ahRPPvkkY8aMuatRvjP7/6O5d/ld2Z3cMoPB\n/jl8TIvktsT4MqVZywyqV8hb5v4t1nZmLZJbXGh8V39zcPe1aZHctMvNc6JjrBGfvXjP1v23iKlN\nXnbV8SXNuCXGue//aaamprz11lt8+OGHbN68maqqKsrLy1m5ciUrVqzg7bf1o0mHDx/O9u3byc7O\nNlRc0dHRJCYmsm/fPnQ6HbGxsYwcOZLk5ORGOeXl5UilUkxNTamrq2PhwoWUlZWhVt/6e4l/+9vf\nMDMzY8aMGaSlpVFbW8uHH37I4MGDCQgIYMiQIQD4+Pjwyy+/oNPp2LNnjyG/oqICiUSCmZkZGo2G\nn3/+mYsXL942UxAEQWhIjPI1wqhRo/j000/5+eef6dOnD/379+fo0aOsXLmSHj30194CAgJwcnLi\noYceMlxvtbOzY9GiRSxevJiwsDDeeOMN5syZQ6dOnRplREVF0atXLwYOHEjfvn1JS0ujR48eN618\nf2dqasp3332Hp6cnTz75JFOmTEEqldKvXz8yMjL44YcfAHjllVc4e/YsoaGhbNq0iZgY/cCMNm3a\nMHnyZMaNG0dkZCR79uxh8ODBt80UBEEQ/n+4712+D6rc3FwSEhIYNGjQPc0RXb73h+jyvfdEl+/9\n8f+xy/fJHs81edmVxxY345YYR9x68C65uLjc88pUEARBEPfyFQRBEIRm0dLXQptKVKiCIAhCq/Kg\n3stXVKiCIAhCq/KgtlDFA8YFQRAEoRmIFqogCILQqjyog5JEC1UQBEEQmoFooQqCIAityoN6DVVU\nqK2Mh611i+S21A0W3t3aPDfsN9Y3L0xpkdyWIG2hGztkp5e1SG5xqfGPz2sO63+70CK5Hy/5/3cs\nP6hdvqJCFQRBEFqVB/VrM+IaqiAIgvCXkZCQwOjRo+nSpQsTJ07k2rVrjeZRqVTMmTOHHj160LNn\nT+bOnYtWq73jukWFKgiCILQqJpKm/9xObW0t06ZN45lnnuHEiRNERkYyY8aMRvP98MMPZGVlsXfv\nXrZt28bhw4fZtGnTnbe7qQUWBEEQhHtBIpE0+ed2jh07hq2tLcOHD0ehUPD888+Tnp7OlStXGsyX\nlpaGRqMxtEpNTEwwNTW943aLClUQBEH4S7h69Sr+/v6G11KpFC8vL1JSUhrMN378eC5evEj37t3p\n2bMn/v7+DB069I7rFxWqIAiC0KrcqweMV1VVYWbW8LGCSqWS6uqGj/yrq6tjxIgRHDt2jD179pCc\nnMz3339/5+02vqiCIAiCcO/cqy5fpVJJTU1Ng/eqq6uxsLBo8N7s2bMZPnw4NjY2eHp68txzz7F2\n7do7breoUAVBEIS/BH9/f1JTUw2vNRoN165dw8/Pr8F8OTk5qFQqw2uZTIZMdudvmYoKVRAEQWhV\nTJA0+ed2IiIiKCwsZOPGjdTV1bFo0SK8vb0JCAhoMF9UVBQLFiygvLyc/Px8vv76ax566KG72G5B\nEARBaEXuVZevmZkZS5YsYdWqVURERHD06FE+++wzAIYNG8bmzZsBePfdd3F2dmbgwIE8/PDDREZG\nMnny5Dtud6u/U9LBgwdZunQpSUlJ1NXV4efnx+TJkxk5cmSjedevX8+GDRtYtWpVo2mLFy8mKyuL\n9957746ZFRUV9O7dm5iYGD755JNmKcefJoGYZ4fi5OuKRqVm1/+2UJJTDICTrwv9nqo/e3IL9GTT\nx2tIjU8GoNvwCCxsLTn03Z4m5XZ9tD82Ho5o1Rpif9hNZX6pYXLncX1wCHBHXaPvHjm6ZAsKCzPC\nnhiEBKgqKifuhz1oVGqjo0O6BDFj1lSentDwe2LRAyKZ+vKTaDQaNq7Zzroft2JqqmDugrexd7Cj\nsrKKt2d+RHFR6S3WfHu+g3pi7myHVqPl6o4j1JaUN5oncHwMxZfTyT99EbeIEGz8PQCQmiqQWyg5\nvXDNA5HrPSACpZM9Oo2GtF9/u2lmm4cHUJKcTsGZSwCEPDuO2mL9bQUrsvPJOhxvXEElEDKuL9bu\n+mMqYc1eqgrq/1YdH47Czs8NTa3+mDq5dBuBg8Ox8XACwNTKHFV1LUcW3Pma1h9zIybFYOflhEat\n4diKXZTnlRgmu4f40mlkTyQSCYWpuZz4bg8yhYzeU4ehMDdDq9Fw5JtfqC6pMC5WImHiq4/g2cYD\ntUrNt/N+ID+zwDB94IT+hA8MRafVsX3VLk4fPIPCTMEz/3wScytzNGoNyz9YRUmBccezVqvlP18t\n43LqNeRyGW++8Cxebq6G6au3bOfXw0cBiOzWhWceHUdNbR3/WrCQ4tJSzJVK3pn+PHY29/92qPfy\nXr7BwcGsW7eu0fvbtm0z/G5ra9ukz/5WXaFu3ryZ999/n7feesswZDkuLo7XX38duVzOkCFD7npd\nzz333F3Pu3XrVvr168eBAwcoLi7Gzs7O6G1vbm3C2yOVy1g9exlugR5ETx7Epnn6D8/81Fx+eudb\nAAJ7BlFRVE5qfDIyhYxBL4zAtY07l48lNSnXvVMAJnIp+z/9CXtfVzqNieK3JVsN0229XTj85Ubq\nKusv9IdOiuHqobOkn7qIb2RH2g7oStIvJ43KnTL1MYaPGUR1VcPRdzKZlNfemcZjI6ZSXV3Dt+sW\nsm/3EYaNHsjlpBQWfbaCwSP68+z0J/j43S+MLq9doDcSmZTz323Hwt0J7/7dubx+b4N5PPt0Q2ZW\n/5207ONnyT5+FoDAsQNI33/qgci1baPPvPjjDizcHPHsE0by5n0N5nHv1RWpmcLw2tTWiqrcQpI3\n7fvj6u6aa7A/JjIpRxasxdbHhQ4je3Fq2XbDdBtPJ44v2YzqhmPq/MbDAEhMTIh8aQxnfjI+36tr\nG6RyKb98tBpHfzdCH41m/xf6L+vLzOSEjo9m179/oraimg6Du2NqpcSvRxCFqbmc3XIM/14d6Tik\nO6dWG5fdJaoTcoWcj5+bj19HX8a/+DD/m/01AEpLJQPGR/PWo+9hqlQwZ/ksTh88Q9SISNIuprNt\nxS/0HBLBQ4/HsGZB40rgdg6cOEWtSsU3894j8eJlPl/xHf+Z/Q8AMnNy2XnwMEvnfYCJiYRn3/wX\n0RHdOXkmkQBvL/4+4RV+PXyU5Ws3MPPpJ43K/StrtV2+KpWKjz76iDfffJPRo0ejUChQKBT06NGD\nefPmIZFImDVrFjNnzqR37948//zzt13fF198waxZs7h8+TLdunWjtrb+BtrPPfccK1euNLxet24d\nI0aMoE+fPqxfX3/z9oyMDHr37s1LL71EeHg4sbGxFBYW8vLLLxMREcGgQYPYuHGjYf4zZ84wadIk\nevToQWhoKLNnz0aj0TRpf3gEeRtanNmXMnEJcGs0j8xUTuSEvuxb+gsAUrmMc/sSOL7ucJMyARwD\n3Mk9nwZAUWoOdt4u9RMlYOlkS7eJA4ieOR6fnh0AsHa1J+dcKgCFyVk4BLgbnZt+LZNXpr7d6H2/\nNj6kp2ZSXlaBWqUm/uQZQsM707V7CEcOnADg8P7jRPQONToTwMrThdKrmQBUZuVj4erQYLpdOx90\nOh2lKZmNlrUL9EZdU0dZatYDkWvp4WxYpjK7APM/ZNq29QadrsF6zZ0dUFiaEzh+EG0e7o+pnfGt\nF3t/d/KT9Ld7K0nLxdbLuX6iBCycbOn0SD8iXxqLV3hQg2V9ozqRfzGd8uxCo3Od23qQlZgKQEFK\nNg6+9ceyU4A7xZkFhD4azaBZj1JTVklteTVJv8aRuPU4ABb2VtRVGX/j/Tad/Dl3/DwAV8+l4tPe\n2zCtrrqWwpxiTJUKFGam6LQ6APb8vJ/t3+4EwN7Fjqry6sYrvoOECxfp2bUzAMHt2pKUXP9dSxdH\nBz6bMwup1ASJRIJGo8FUoWiwTM+uXTh55qzRuc1BImn6T0tqtRVqfHw8lZWVDBs2rNG0yMhIBg8e\nDOjvy7h161b+85//3NV627Zti6enJ4cOHQKgrKyM3377zdACvnz5MllZWfTp04cxY8awZs0adDqd\nYfn8/Hy6devGgQMH6Ny5M6+99hr29vYcOnSIzz//nE8++YSEhAQAZsyYwbhx4zh27BgbN25k3759\nHD16tEn7w9RcQe0N/8w6rQ7JH+6zFTKgK5eOnqf6+j9fbWUNaQkNv7BsLJmZAlX1zXNlCjnJB05z\ncsVOjizcSEBUJ6zdHSnJKMCtk/7L026d/JEp5Ebn7t5xELW68cmHpaUF5eWVhteVldVYWVtgaWlu\neL+yogorK4tGy94NE4UcTW2d4bVOpzP8lyodbXEI8ifz0M27ON16dCLzyOkHJlf6h0y09ZlmDrbY\nt/cj62jD9aoqq8g+kciln3eRfTwRvyG9jc6VmckbHlO6+mNKqpBz9dAZ4r/7leNLNuPTOwQrN31F\nL5Ga4BPZkZR9RnYxXydXmlJ3i2PZzEqJa3sv4n4+yN7/ridoYChWLnaG7Rv42njax3QlPe6y0blm\nFmZU39Da1mm1mEjrP3qL8op5d9VbvL3sdfauPdBg+2YumE7/sX2IP5hgdG5lVTUW5uaG1yYmJqiv\nn9DLZDJsra3R6XR8vuI7Av188XZ3o7K6GgsL/TLmSjMqKo2vyP/KWm2Xb35+Pra2tigU9d1NI0aM\nIDs7G61Wi5OTE127dqVXr17Y2toate7hw4ezY8cOYmJi2L17N926dcPJSX99Zv369YwaNQqZTEbP\nnj1RqVQcPXqUXr16GZYfOnQoSqWSvLw8jh8/zsKFC1EoFLRv354xY8awfv16OnfuzIoVK/D29qa8\nvJzCwkJsbGwoKCi41WbdVm1VHQpl/b6QmEgMZ7O/C+oTwpb//Nyk9d+KuqYO2Q1dfkgw5Krr1FzZ\nd9pwfTTvUjq2no6cXX+QLo/0w7dHB3LOpVJb0Xz/lBUVlVhY1n9IWFgoKS+roKKiCgsLpf49S3PK\ny4y7zvU7bZ0K6Q0nABKJBK6fUDkGB6CwMqf9Y4MxtbFEp9FQV1pB6dVMzBxs0NTW3fQaZGvN1fwh\nEwmGTIcO/oaWqMLaEp1WS11ZBeUZufqKF6jMykN+w9/ibqlrVH84puqPZU2dmqsHE9BeP6YKL2dg\n7eFIeXYhToFeFCVnoa6pu9lq70hVXYv8Frm1FTUUXs2hpqwKgNxLGdh7O1Geqx+n8Ot/fsba1Z7+\nMx5m46ylRuXWVNZgal7fVS+RSNBq9Le0C+7RAVsHa2Y/8i8AZnz6AlfOppB6Qd8rNP/lL3D1dmH6\nf6by1qN3Hv9xIwtzJVU33LBAq9Uhk0oNr2vr6vhw4RLMzZS89uxT+mWU9ctUVddgZWH837c5iOeh\nNjN7e3tKSkpQqVTI5fp/+i1btgBw/PhxZs+eDYCjo6PR6x4+fDhLliyhtraWHTt2MHz4cADUajWb\nN2+mrq7OcCPksrIyVq9e3aBC/b3yzcnJQaPREBUVZZim0WiIiIgA9Nd7n3rqKTQaDR07dkSlUjVo\n7RojK+ka/mGBXDp6HrdADwrS8hpMV5ibIpVLKS9s3mdQFqRk4xbiR2bcZex9XSnLqu9qs3K2JeLp\noeye+wMSiQTHAHfSjl/Aub03iZuPUJFXQtsBXclLSm+27bl6JQ1vX0+sbayoqqomNKIzK79ag5uH\nC1H9epCYkETvvhHEnWhaV1V5Rh62bbwoSkrFwt2Jqvxiw7T0/bGG3z16daGustrQTWvj605pSkaT\ny9USuRVZedj4e1J8KQ0LN0eqC+oH6GQeijP87tazM6rKaspSs/CI6oa6upbcU+dQOtpRd0Nvwd0q\nupqNS0dfsk9fwdbHpUH3raWTLd2efIiDn6xBIpFg5+dG+kn99X/HQC/yrlc0TZF/JQvPzv6knbyE\no78bJTcMDCpKy8XWwxFTSyV1VTU4Bbhx5eAZgoeGU1lcztXfLqCurUN3F08c+aPksyl06hVC7N54\n/Dr6kpmSbZhWWV5NXa0KdZ3+BKKqohpzSyWDJw2kJL+EYztPUlNdi1Zr/OdGp/aBHD4VR0yvniRe\nvEyAj5dhmk6n4/V5nxIa3JEnxoxssMzR2NN0bNuG3+JP07lDe6Nzm8OD+vi2VluhduvWDaVSya5d\nu27a7fu7pjyI1t3dnfbt27Njxw5iY2OZP38+APv378fOzo7ly5cb5s3JyWHChAnk5uY2ynR0dESp\nVHLixAlMTPRdOPn5+UilUnJycnjnnXdYu3YtgYGBAIwaNcrobf3d5eNJ+HT257GPpoBEws4vNxE6\nogclOUUkn7yEnbsDZTeMWGwuWQlXcGnvTd9XxwMSYr/7lbb9u1KRX0L22atcO3GBfq89qh8lejyJ\n8uwiZKZywicPRqPWUJ5dSPya/X96O4aOikFprmTd6i188v5CFq/6BBMTCRt+2k5ebgE/rdrEB/Pf\nZMXaL1Cr1Lzx0vtNyim+lIaNrztBk4YiAVK2H8G1ewdqisspuXLrEwMze2tKU7NvOb015pZcvoa1\ntxvtJgwGJKTuPIJztyBqS8pvWUnnnNB389r4e6DT6kj95YjRuTlnk3Fq50XkS2ORSCScXr0bv+gu\nVBWUkHsulYxTF+k9YxxajZaMU0lU5BQBYOFsS8bJpg2uA7gWdxm3Dj489OZjSICjy3YSNCiU8rwS\nMk4nE7/uEANmjgUg7eRFSjILqSmvJvLpwbSJCkFiIuHosp1G58YfPENQ9/a8segVkEhY+dH3xDza\nj/yMfBKOJJJ6oR2zv3oVrVbHlTPJnD+ZRPqVTKa8PYlew3tiYmLCio++Mzq3b0R3Tiac5e+z30Gn\ng7dfnMoPm7fh6eqCVqsj/twF6lQqfovXd+u/MGkCYwcP5L3PF/Hsm/9CLpPy3ivTjc5tDg/qA8Yl\nuqY2me6DzZs388EHHzBr1iyGDBmCQqHgxIkTfPzxx8jlcgICAvDw8GD6dP0fff369axZs4YFCxY0\nWI+joyOLFi0iMzOTefPmAbB69WoWL15MSEgIX375JaAfnBQSEsK0adMaLP/oo48SFRXF6NGjGTBg\nABcvXjRMe/zxx+nevTsvvPACxcXFTJkyhTFjxtC3b1/Gjh3Lli1b8PDwYP369cyZM4f33nuPRx55\n5JZl/nSMcd06zcXXzaZFct/duv7OM90D37wwpUVyW4JU3jJDJbLTm7e35G4Vlxo/cKg5HLqU2iK5\nHy9pmWPZrmO3e7butwe/2eRlP/jlo2bcEuO02kFJACNHjmThwoXs3LmTfv36ERYWxkcffcSQIUMa\njMq90enTp4mOjm7wk5bWuJto8ODBFBYWGrp7CwoKOHTo0E2/ijNy5Eh+/vnnmz5gdv78+SQnJxsq\n3D59+jBlyhTatGnD5MmTGTduHJGRkezZs4fBgweTnJz8J/eKIAiC0Bq16hbqX5Food4fooV674kW\n6v3x/7GFOmdI01uo7+8QLVRBEARBeKC12kFJgiAIwl+T+NqMIAiCIDQD8bUZQRAEQWgGooUqCIIg\nCM3gAa1PxaAkQRAEQWgOokIVBEEQhGYgunwFQRCEVuVBvfWgqFAFQRCEVkUMShKahYO1skVyW+p+\nWS11x6Jn/rf8zjM1s7YOfvc9E2DO5JgWyfX0bZm7bznXNH6O7v3QM6Zl/r6nvj3eIrkDP753d0p6\nQOtTUaEKgiAIrcuD2kIVg5IEQRAEoRmIClUQBEEQmoHo8hUEQRBaFXHrQUEQBEFoBuJrM4IgCILQ\nDEwezPpUVKiCIAhC6/KgtlDFoCRBEARBaAaihSoIgiC0KqKFKgiCIAh/Yfe9hXrw4EGWLl1KUlIS\ndXV1+Pn5MXnyZEaOHHm/N+WmNBoNy5cvZ/369WRnZ2NnZ8eIESN48cUXkcvlLbdhEuj5xEDsvJzR\nqtUcWbaT8rwSw2SPED+6jI4EoDA1l2Ordhum2bjZM2zOJNa8vBCNysjbskmg64T+2Ho4olVrOPX9\nbirzSw2TXTv4EDQsAgkSitPziP9xHyZyKeGTB2NmpURVo+Lkt7uoq6g2usi+g3pi7myHVqPl6o4j\n1JaUN5oncHwMxZfTyT99EbeIEGz8PQCQmiqQWyg5vXCN0bkhXYKYMWsqT0+Y0eD96AGRTH35STQa\nDRvXbGfdj1sxNVUwd8Hb2DvYUVlZxdszP6K4qPQWa745iUTC32c/gW+gF6o6NYveX0ZOep5h+ohJ\ng4ka0gOdVsu6ZVs5sS8Oc0slr8x9HjNzU9R1aha8/RUlhcblAnj2C0fpaIdOo+Xant+oK61oNI//\nyH6UpmRQmHgZE5kUn8G9kZoq9Mv8ehRVpfF/W8/+EddzNVzbfYy60sZ/W/9R/SlNSafw7GXDe6Z2\n1gQ+OoTEr39Gp9EandsSx5RWp+V/2zZxNTcbuVTGSyPH4G7vaJi+9cRv7E6IRYKEMZFRRHXshEar\n5Zud27icnYlKrebxvgMIDwwyrrASCBrdB0s3B7RqDefX7ae6sMwwud2IXtj6uqGurQMg4dtfUNfo\nf7fzcyN4QgyH5q4yLrOZiEFJd2Hz5s28//77vPXWWwwdOhSAuLg4Xn/9deRyOUOGDLmfm3NTr7zy\nCgUFBSxYsIC2bduSnp7Oa6+9Rm5uLvPmzWux7fLu1hapXMb2D77HKcCN7hP6svfzjQDIzOSEPRrN\nL/PWUFtRTfCQcEytlNSWVyM3UxA2oS8atbpJue6dA5DKpOz75CfsfV3pPCaKo0u26nNN5YSM6c2B\n/66jrrKGwIGhKCyV+IS3pyyrgGPbjuMZGkjQkO4k/HzQqFy7QG8kMinnv9uOhbsT3v27c3n93gbz\nePbphszM1PA6+/hZso+fBSBw7ADS958yurxTpj7G8DGDqK5qWEnIZFJee2caj42YSnV1Dd+uW8i+\n3UcYNnogl5NSWPTZCgaP6M+z05/4P/bOOzyKqu3D99Zks+mN9EqAEEILJEBC7yAdEQsqvCrSBPFV\nEBE+RFEUQUREEBBEBOmhKlUILaGGDkmA9N6zm2Q3u/v9Ed0Qg+JGIMR37uvKde2cc+b8zpzMzDPP\nc8lYj1IAACAASURBVM6cYf6cJSZphnZtjVwuY8bLHxIQ7M9Lb45k/tQvAbCwtKD/sz2ZOOgdzBRm\nfL7xA2KOnKfrgAiS4lNYt3gTPYZ0ZtCLfVm7aKNJujb+noglEuI2/4KFiyPuHUO4s/totTKu7Vsi\nMZcbtx2aBaDOyiMz5jL2gX44hwSResy0fjbqbvr5Ht1fq+t2aInETF4tTSyX4dYxBH0tDCnU3Tl1\n6sY1NBUVfP6f8dxISWLl/r3MGvkiAIVqFXvPRvPl2EloKioY9/UiIpoGc/jSBSr0OhaMeZ2cokKO\nX7tssq5zU1/EUglnvt6OjVcDGvXvQOz3PxvzrdydOL9qN1p1WbX9zGyUeHVsgUhSdwFMIeT7ALRa\nLfPmzWPGjBkMHjwYuVyOXC6nXbt2fPLJJ4hEItRqNTNmzKBbt240b96coUOHcvPmTQCmT5/O1KlT\niYiIYNy4ceh0OubPn0+vXr1o2bIlffv2JTq6cpFog8HAokWLCAsLo3v37qxYsYJu3boZ27Jr1y76\n9OlDaGgoEydOJDc3F4Do6GiOHTvGV199RUBAAACenp7Mnz+f8vJyNBrNX+ouWbKE8ePH0717dwYP\nHoxKpWLSpEmEhobSrVs35s+fj6GWq9A3CPAg9fIdALIT0nHwdTHmOTd0Jz8lh7Yju9D33WcpLVJR\nXlxpEDqM7sX5LVHoNLUzqI7+bmRcSwQg724Gdt4NjHkOfq4UpubSfFhHukwdTnmRGk1JKY4N3ci4\nWrlPxtW7ODf2MlnXyqMBhXdSAVClZaN0caiWb9fYG4PBQOHt1Br72jXyoqJMQ9HdNJN1k5NSeXPs\nzBrpvg29Sb6bSnFRCRXaCi6cuURIaAtatQ3mxNEYAI7/Gk1YRIjJmoEtA7hwsvKGGXc5Af+mVYus\nl5eVk52Rg5nCDDOFGXp95fmTGJ+CwsIcAIVSga7C9AXhlW7OFCVW9pE6IweFc/U+tmnohcFgoDgx\n3ZiWffEGmWeuACCzUqL7zbv5R7oN7qcLxYnV/3+e3dqRfvIihlo+HNbVOXUt6S4hDRsB0MTDi/i0\nqvptLJQseX0SUomE/JJi5FIpIpGI8wm3cLCyYfaPa1iyaxthpnqngK2vKzm3kgEoTMrE2sOpKlME\nFo42BA7rTNtxg3Fr0wQAsVRC4JDO3NgRZbLew0Qkqv1fXfLYDOqFCxdQqVT079+/Rl6HDh3o06cP\nq1atIi8vjz179nDmzBl8fX1Zvny5sVxsbCy7d+/ms88+IzIykujoaDZv3sy5c+fo1q0bCxcuBGDL\nli3s37+f7du3s3nzZg4dOmSs49y5c8ybN4+FCxcSFRWFm5sb06ZNA+DEiRO0bt0ae3v7au3z9vZm\n0aJFyOXyv9QFiImJYc2aNfzwww9s2LABsVjMiRMn2LhxIz///DNnz5r+hAsgU8jRqMuN2wa9AdFv\ncRFzKwWugV6c23yMAwu30LRXCNYN7Gg5uAPJsbfJT86ulSaAzFxORen9deWWCpwbeXB5xwmilkbS\nsFtLLJ1tkZrL0ZZV7lNRrkGmkN+37r9CLJdVu1kbDAbj1aJwtMUh0I/UqAv33de1XXNST1w0WRPg\n4L5jVNzHOFlaKikuVhm3VapSrKyVWFpaGNNVJWqsrJQmayqUCtQlauO2XqdHfI93kJuRx+It81jw\n4xz2bjwAQHFBCS3aNeOLLR8x6MW+HNphWgQAQCKXodNoqxLu6WNzexvsGvmQcTq25o4GA/5DeuDU\nojGFCcm1073XEN+r62CLXWNfMk5V//+5hDWn6G4KZTn5Juv9Tl2dU+rycpRm5lXtEInQ6avOMYlY\nwq6Yk7y16mu6BrcEoEitJj0/l/979iWGh3dmUeQWk3WlZnJjCBcqj/f3a1cik5F88jJXNh7i/Ko9\neLYPwtLFniaDOpJ47CLlRao/q1bgL3hsId/s7GxsbW2Ry6turgMGDCA9PR29Xo+TkxMbN25ELBYj\nlUpJSUnB2tqa+Ph4Y/nw8HBsbW0B6NWrF507d8bS0pK0tDSUSiXZ2ZWGY9euXYwZMwY3NzcAJk6c\nyOzZswGIjIxkxIgRNG3aFKgM8YaEhJCTk0NBQQF2dnZ/eRx/pQvQokULPD09AbCysuLq1avs27eP\nTp06cejQIcTi2j3DaEs1yO4JvYlEIgy/eSvlJaXk3EmntLDyIsi8mYK9lzN+7Zuizi+mUadgFDZK\nev73aX7+2LSwoLZMg/QeXUQYdTWqMvKSMikvqjQGOfGp2Ho4UVGmQfpbuE5qJkd7j0H+u+g1WiTy\nqjFrkUhk/MacYzN/5FYWNHm2D2Y2lhh0OjSFJRTeScXcwQZduea+Y2P/hJISFUpLC+O2UqmguKiE\nkhI1SmXlJ/eUlhYUF9Ucg3wQpapSFMp7brhikTGs2apDMHaOtowb8DYA7y99ixsX4xgyuj87vt/L\nga2/4h3gwdsLJjL1mfdN0tVptEjk99wCRBj72C7QD5mlBQ2H9kRurUSv06MpLjF6qwnbD2JmZ43f\nwK5cXxtZC90/zEf4XbfJb7rDeiK3tqzULVJh18QXbYkah6CGSC0U+A/pQfyW/Sbp1tU5ZWFmRqmm\n6hrQGwxIxJJqZQaEdqBPSCiz168h9k4C1goLQgOaIBKJCPbxIzU3x2TdinINUrPqx/v7tavTVpB0\n/DJ6baW3nxefipWbE7a+rigcrAGQKcwIfq4Hl388WLPyR0x9/drMYzOo9vb2FBQUoNVqjZN7du3a\nBVSGWt99912KioqYPXs2169fx8/PD4Wi+rdBHR2rBvI1Gg2zZs3izJkzeHl54ezsbMzLzMzExaUq\nJPq7YQVIT08nMjKS9evXG9OkUilpaWk4ODiQnHz/J+68vDzs7e3/UvePbXz66acpLCxkxYoVTJ8+\nnU6dOjFv3rwaHvDfISs+Fc+W/tw9cxMnf1fyU6qMeO7dLGzdHTGzVKBRl+Hk78qto5fYNm2lsczw\nBa9xYMFmk3VzE9JxDfYl5Xwc9j4uFKXlGvMKkrKwcXVArjRHW1qOg48rd45fJSchDddmPuQnZuIS\n5ENOvOlhsuKULGwbepJ34y5KNyfU2VWeSfKv54y/3cNbolGVGkN5Nj5uFN5OMVnvQdyJT8TLxwNr\nGyvU6lJCwlqwdsVPuLo3oGPXdlyJvUFElzDOx5g+1nXjYjxtOrXk5IEzBAT7kxhf1X5VsRpNuQbt\nb56kqliN0soCVZEa9W9h/cK8YhRK07+jq0rLwsbXg4K4JCxcHCnLqZrkln6iylNzCWuOVlVKcWI6\nzm2C0Jaoyb9xB722wniDNkk3Pfs33cRK3dx7dc9X11WXUpyYVs1oNx09hITtpt/k6+qcaurpQ/St\n63QMas6NlCR8GlTdm1Jysllz6BfeG/E8UrEEmUSCWCSiqZc3Z+JuEt60Gbcz0nG2sTVZt+BuBk6B\n3mReSsDGqwElGXnGPKWTDcHP9eL04s2IRCJsfV1JO3+Tkws2GMt0mvlSnRhTENbyfSCtW7dGoVCw\nf//++4Z9AebMmUPLli1ZvXo1YrGYNWvWVAvX3jtQvWjRIqysrDhx4gQymYyDBw8yb948AFxcXMjI\nyDCWzczMNP52dHRk4sSJvPrqq8a0hIQEvL290Wg0fPfdd0bj+TuJiYn06dOHAwcOsHz58j/V/WMb\nExIS6NevH6+99hqpqalMnz7daFxNJfHcLdyCvOn33nMgEnFi1T6a9m5DcWY+yRcTOL8lip7/HQ7A\n3ZibFKSa/kR7P1Jj43EO9KLrf58GRJxdd4CAbq0oyS4g/fIdLkeepOOkwQCknIujKD0XVU4hbV/q\nRZepT6PX6Yj+7ue/FrkP+bcSsfFxI/CFfoiA23tP4NK2KWX5xRTE/3mY0dzemsK76X+abyr9BvVA\nYaFg64ZdLJi7lG/WLUAsFrF9016yMnPYtC6SDxfOYM2WJVRoK5j2xlyTNaKPnKN5uyA++u49RCIR\nS/9vFQOe7016ciZnj10kPqwpH699H4PBwI2LccSevkpSfCrjZ42mz4huSKQSls01/YPphQnJWHm5\nEvB0bwCSDp7CqVUg5QXFFN25vwHJu5qAV68OODRtCCIRyQdPma4bn1SlKxKRdODkA3UfBnV1TrUP\nbMqF23G8tWoZYGDKoOFsPxWFq70D7Ro3xa+BC2+tWoZIBCENGxPs40cTDy+W7tnB1JVfY8DAhKcG\nm6ybdfU2DgEetB0/BICrm4/g1bE5pTlFZF+/S/r5W4ROGIpBryf93E1UmbUPpwtUIjLUdpZMLdi5\ncycffvgh06dPp2/fvsjlcmJiYpg/fz4ymQyDwUDPnj0ZO3Ys8fHxjBs3DgcHBzZu3Mj06dNxd3dn\n0qRJAEyePBlbW1tmz55NZmYmkydPJj09naioKLZu3crq1atZuXIlCoWCiRMnkpaWxuHDhzl16hTv\nvfce3377Lb6+vqxbt45ly5Zx5MgRFAoF48aNo6ioiLlz5+Ln50dcXBzTpk0jICCA+fPn/6XukiVL\nSE1NNc4GXrRoEVeuXGHx4sVIJBImTJhA27ZtGTdu3J/20ZqXP3ss/4s/Ymlh+jjnw8DL26ZOdF/5\n2nQD9E8JcPB9cKFHwPsv96gTXR7fraUamjLTJ2g9DOw9retE905s5oMLPQJ6zv/z+9g/ZdmzH9d6\n33Eb3n2ILTGNx/razMCBA3F1dWXlypV8+umnlJeX4+HhwVNPPcWoUaO4du0aM2fO5JtvvsHNzY1B\ngwaxfv16Ku4zq2/SpEm88847hISE4OjoyIgRI1i8eDH5+fkMGTKEuLg4BgwYgLW1NT179jSOc7Zv\n354JEyYwfvx4srOz8ff3Z/ny5cbw8uLFi/nyyy955ZVXyM/Px97enkGDBvH6668/UPePjB07lpkz\nZ9K9e3d0Oh3du3dn9OjRj7CHBQQEBOo/9XUM9bF6qI+L69ev4+TkZBzP/P1VmE2bNtVxyx6M4KE+\nHgQP9TEgeKiPhX+jh7r8udq/8z/2R9OH1B4W/8qlBw8fPsyMGTMoLS2lpKSE77//ng4dOtR1swQE\nBAQE/gYikajWf3XJv9Kgjh49GisrK7p06UL37t1xc3MzhmwFBAQEBJ5s6uvCDv/Kr81YWFjw+eef\n13UzBAQEBARqQV17mrXlX+mhCggICAgIPG7+lR6qgICAgED9pb5+bUbwUAUEBAQEBB4CgocqICAg\nIPBEUV/HUAWDKiAgICDwRFFP7algUAUEBAQEnizq60pJgkF9wpBJJQ8u9AhQmP9vnQp1sWpRXO6d\nx64JoC42/SPg9RlbZ4sHF3oESM3q5hqysjV/cCGBx8L/1l1UQEBAQOCJp76OoQqzfAUEBAQEBB4C\ngocqICAgIPBEUU8dVMGgCggICAg8WdTXkK9gUAUEBAQEnijqqT0VDKqAgICAwJNFfX1tRpiUJCAg\nICAg8BAQDKqAgICAwP8MsbGxDB48mJYtW/Lcc8+RlJR033KrVq0iIiKCtm3b8tZbb1FWVvbAugWD\nKiAgICDwRPGoPjBeXl7OhAkTeOWVV4iJiaFDhw5MmTKlRrm9e/eyYcMGNmzYwK+//kp+fj7ffvvt\nA9stjKEKCAgICDxRPKpZvqdPn8bW1pannnoKgHHjxrF27Vri4+Np2LChsdzmzZuZOHEinp6eAHz6\n6ad/y0N97Ab12LFjrFq1ihs3bqDRaPD19eXll19m4MCBj7spf0pJSQkRERH06NGDBQsW1HVzKhFB\n6PPdsfV0Ql+h4/TaA5RkFRiz3Zr5EDygPYggLzGTM+sPI1PI6fBKX2TmZoilYs7/dJSc2+km6zYb\n1hlrN0f0FToubTqCOqfQmN10cAT2vq5UlGsBOLt6Lwa9nmbDOmPhYI1IIuHq9mMUJmWZfMg+vdpj\n4WyHXqfnzr4TlBcU1yjT6Oke5Mclk33xJq5hwdj4uQMgMZMjUyq4uPQn0w5XJOLVd1/Ep5EnWk0F\ny+auJiO5qu0DXuhDx77tMOj1bF29m5gj57GwVPDmx+MwtzCjQlPB4pkrKMgt/AuV+xPcMpAp08fy\nn5HVn5g7d+/A2MkvodPp2PHTXrZu3I2ZmZyPF8/E3sEOlUrNzKnzyM8zXdOvbweUzvbodToS9hyn\nLL9mHweO7EXerUQyz99Eai4nYFBnJGZyKkrLSNhzAq36wTeaJ0XXJaIN5va2GHR60qJi0BaV1Cjj\n1acTxYmp5F9PMKZZ+bhj7etF6pFTJmvq9XqW7NzOnfQ0ZFIpU4Y+jbuDozF/56kTHDh/FkQihkd0\npnPzFsa8pKwsJi9bwk8zZiGXyUzW9u3dHosG9hgqdCTsO0H5ffq5yYie5MUlkXXhJhIzGQGDuiCW\nSzFU6InfdQytqtRk3X/Ko5qTdOfOHfz8/IzbEokET09Pbt++Xc2gXr9+nW7dujFgwADy8vLo3bs3\n06dPf2D9jzXku3PnTt566y2GDBlCVFQU0dHRvPPOOyxYsIB9+/Y9zqb8Jbt376Zr164cPXqU/Pz8\num4OAJ6tGiKWSdn/8UYubD1O66c7GfOkZjJaPd2JX5ds55d5G1DlFmFmqaBJzxAyridx8LNNnFr9\nC22f72ayrkszP8RSCSe/3MqNPacIHBheLd/Gw4noFbs4/fUOTn+9g4oyDX5dW1Gckcepr7ZzedMR\nLJ1sTda1a+SFSCrh2g97ST56Dq9ubWuU8ejUGqm5mXE7PfoyNzb8zI0NP6MtVnF7T5TJuqFdWyOX\ny5jx8of8sGQzL7050phnYWlB/2d7MuOluXwwfgFj/vscAF0HRJAUn8L7//mYE/tjGPRiX5N1R499\nlv+b/w5mZvJq6VKphLdnTWDsC28xesQbDHtuAPaOdowYNZi4G7d5+elJ7Nr6C69NetFkTfvG3ogl\nEi6v3U3i4bP49AitUcarSwhS86o2uYe3oCg5kyvf7yH9zHW8uobUG10rHw/EEgl3dx4k60wsLmEt\na5RxbtMcsbz6/6BB+1Y4t20BtbzJn7x2FW2Fli/GTWJM736s2LvLmFeoUrE7+hSLXp/I/P+8xop9\nuzAYDACoysr4dt+uWq/vbdfIG7FUwtXv95D06zm8u9XsZ8/OrZHc089OwQGos/O59sM+cq/fwTWs\nWa20/ykikajWf3+FWq3G3Lz62scKhYLS0uoPDUVFRezYsYNvv/2WXbt2ce3aNZYvX/7Adj82g6rV\napk3bx4zZsxg8ODByOVy5HI57dq145NPPkEkEqFWq5kxYwbdunWjefPmDB06lJs3bwIwffp0pk6d\nSkREBOPGjUOn0zF//nx69epFy5Yt6du3L9HR0QAYDAYWLVpEWFgY3bt3Z8WKFXTrVmVMdu3aRZ8+\nfQgNDWXixInk5uZWa+vWrVsZMGAAnTp1Ytu2bcb0lJQUIiIieOONNwgNDeXcuXPk5uYyefJkwsLC\n6NWrFzt27DCWv3TpEi+88ALt2rUjJCSEd999F51OV6v+c2roTvqVuwDk3k7Hwcflnjw3ClJyaD2i\nMz3fGUFpkZryklJuHDhP/NHLAIglYnRa07XtfF3JvlE5aF+QmImtp1NVpgiUTrY0f7oL7ScNxSM0\nsLI9jb3Q63SEvjaAgJ5tyL6ZbLKulUcDCu+kAqBKy0bp4lC9XY29MRgMFN5OrdnmRl5UlGkouptm\nsm5gywAunKzss7jLCfg3rVpEv7ysnOyMHMwUZpgpzNDrK298ifEpKCwqL1KFUoGuwvR+Tk5K5c2x\nM2uk+zb0JvluKsVFJVRoK7hw5hIhoS1o1TaYE0djADj+azRhEaYbGGvPBuTfTgGgJC0bpatjtXyH\nJj4YDAYKEqr62MLRloKEyn2KUzKx8mhQb3QtXBwpSa6M0JRm5WLuZF8t38rXAwMGVCkZ1dJLM3NI\nP37WZL3fuZp4hzYBTQAI9PImLjXFmGejVLJs0ptIJRLyi4uRS2WIRCIMBgOLt2/h5V59MZfJ/6zq\nv8Ta05mC366PkrRsLF2rX0P2jb0xGKh2Damz85HIKz1hiZkMg15fK+0nFYVCUSN0W1pailKprJYm\nk8kYNWoULi4u2NvbM2bMGI4cOfLA+h+bQb1w4QIqlYr+/fvXyOvQoQN9+vRh1apV5OXlsWfPHs6c\nOYOvr2+1p4LY2Fh2797NZ599RmRkJNHR0WzevJlz587RrVs3Fi5cCMCWLVvYv38/27dvZ/PmzRw6\ndMhYx7lz55g3bx4LFy4kKioKNzc3pk2bZsyPi4sjLS2NTp06MXToUH766SfjEyNAdnY2rVu35ujR\no7Ro0YK3334be3t7oqKi+PLLL1mwYAGxsbEATJkyheHDh3P69Gl27NjBkSNHOHnyZK36T6aQoy0t\nN24b9HpE4sqnMTNLBQ2aeHJhSxRHFm+nSY/WWDWwRVtajk5bgbm1BR1e6cvFbcdN1pWay6koq/pa\niUFvMOpK5DLuRl3iwvqDxKzYhXd4M6xcHZArzZEpzIlZsYvMa3cJHNDBZF2xXIau/B5dg8EYB1I4\n2uIQ6Edq1IX77uvarjmpJy6arAmVBlFdojZu63V6xJKqyyQ3I4/FW+ax4Mc57N14AIDighJatGvG\nF1s+YtCLfTm045jJugf3HaPiPobY0lJJcbHKuK1SlWJlrcTS0sKYripRY2WlrLHvg5CYydD9FqoH\nQF/VxxZOtjgG+ZF89Hy1fVSZedg18gLALsALicz0UaO60hXLZOg19+jec06Z2dlg4+9N9tnLNfYr\num36A+G9qMvLUd7jFYlF4moP1hKJhMhTJ5i87Cu6t2wFwA+HDhDaJBB/V7da60rk8urXkL76NeQY\n5E/Kser9XFFaho2vG81fHYJrWDOyY+Nqrf8k4ufnx927d43bOp2OpKQkfH2rf33Kx8eHkpKSauXu\ntQN/xmMbQ83OzsbW1hb5PeGUAQMGkJ6ejl6vx8nJiY0bNyIWi5FKpaSkpGBtbU18fLyxfHh4OLa2\nleHDXr160blzZywtLUlLS0OpVJKdnQ1UeqBjxozBza3yZJw4cSKzZ88GIDIykhEjRtC0aVMA3nzz\nTUJCQsjJycHR0ZFt27YxaNAgpFIp7du3R6vVcvLkScLDq0Kd/fr1Q6FQkJWVRXR0NEuXLkUul9Ok\nSROGDh3Ktm3baNGiBWvWrMHLy4vi4mJyc3OxsbEhJyenVv2nLdVUC4GJRKLKCwQoLykj924GZUWV\nhiDrVgp2ns4UZxZg6+5I+Gv9uLD5GFm3Uu5b919RUaZBem8Y8h5dnaaCO1GX0GsrAMiNS8HazQGN\nuozMq5WfKsu8ehf/bq1N1tVrtMYn5d+Pl99OaMdm/sitLGjybB/MbCwx6HRoCksovJOKuYMNunLN\nfcdb/w6lqlIUyntufmIRel3lU3qrDsHYOdoybsDbALy/9C1uXIxjyOj+7Ph+Lwe2/op3gAdvL5jI\n1Gfer5X+HykpUaG0rPocmVKpoLiohJISNUqlojLN0oLi+4wFPghdefU+5p4+dgpuiNxKSdALfX/r\nYz3lBSWknIzFr1c7gkb1oyA+mfIi1Z/U/uTp6rVaxPJ7b3lVujYBPsiUFnj374bMSolBr0NTrKrh\nrdYGCzMz1OX3PAwbDEgk1cO4g9qH069tGDPXrOJiQjyHLp7HycaGX87GkFdSzLvffcvnr403SVen\n0SD+y362oOlzldeQXq+nvLCEBi0bk3b6ClkXb2LhZEfA0K5cXhVZ+4OvJY9qDDUsLIzc3Fx27NhB\nv379WLFiBV5eXvj7+1crN2jQIH788Ud69uyJTCZj9erV9OrV64H1PzaDam9vT0FBAVqtFtlvg+u7\ndlWOJURHR/Puu+9SVFTE7NmzuX79On5+figUimp1ODpWhYY0Gg2zZs3izJkzeHl54ezsbMzLzMzE\nxaUqJPq7YQVIT08nMjKS9evXG9OkUilpaWnY2tqyc+dONBoNkZGVJ1FRUREbNmyoZlCdnCrDnhkZ\nGeh0Ojp27GjM0+l0hIWFAXD+/HnGjBmDTqcjKCgIrVb7t55y7kd2fBruLfxIOnsLBz9XClKrDHNe\nUia2bo6YWZqjUZfj6OdK/LHLWLvaE/H6UxxfvpuClNoZ8vy76Tg39SE9Nh5b7wYUp1eFxy2dbGn1\nYi+iPt+ESCTC3teVlDM3yb+djnOgN0Up2Tj4uVGSkWeybnFKFrYNPcm7cRelmxPq7Kqx7ORfzxl/\nu4e3RKMqNYaHbXzcKLxt+oPD79y4GE+bTi05eeAMAcH+JMZX1aUqVqMp16D9zctRFatRWlmgKlKj\nLq4cgynMK0ahVNy37tpwJz4RLx8PrG2sUKtLCQlrwdoVP+Hq3oCOXdtxJfYGEV3COB9T07N6EEXJ\nmdgHeJF7/Q6Wf+jjxMNVIU7Pjq3QqNQU3E7FrqEHmRduUZyahX1jb6QpmfVGV52Rg5W3O0W3k1E4\nO1CeXzWpLysm1vjbqXUzKkpLH4oxBWjq7UP0jWt0bt6C60mJ+Nxzb0rOzuK7X/bx/vMvIpVIkEml\niEUi1vy3agLMi5/O4+PRr5qsW5yShd1v15ClmxOl9/Rz0pGqfvaI+O0aup2KQxMfo1erVZchlZs+\nEeph8KhWSjI3N2f58uXMnj2bOXPmEBgYyBdffAFA//79GTt2LAMHDuTll1+mrKyMkSNHUlJSwlNP\nPcV//vOfB9b/2Axq69atUSgU7N+//75hX4A5c+bQsmVLVq9ejVgsZs2aNdXCtfcOOC9atAgrKytO\nnDiBTCbj4MGDzJs3DwAXFxcyMqouhszMqovP0dGRiRMn8uqrVSdoQkIC3t7e/Prrr9jZ2fHdd98Z\n8zIyMhg5cmS1On5vh6OjIwqFgpiYGMTiyrBgdnY2EomEjIwMZs2axZYtW2jUqBFQ+dRTW5IvxOHa\n1Ite00eCCE5/9wtNeramOKuA1NjbXNx2nK5vDgMg6cwtCtNy6TRhIBKZhDbPdgVAoy7n2NKdJulm\nXL6NYyNPOkwaCiIRsRsP4du5BaqcQrKu3iX13C3CJw/DoNOTcvYmJZl5xB86R/MRXenwxjD0TKB7\nMgAAIABJREFUOj2xPx40+XjzbyVi4+NG4Av9EAG3957ApW1TyvKLKYj/8xCcub01hXdNnMl8D9FH\nztG8XRAfffceIpGIpf+3igHP9yY9OZOzxy4SH9aUj9e+j8Fg4MbFOGJPXyUpPpXxs0bTZ0Q3JFIJ\ny+Z+92ChB9BvUA8UFgq2btjFgrlL+WbdAsRiEds37SUrM4dN6yL5cOEM1mxZQoW2gmlvzDVZI+9m\nIrZ+7jR7qT8iRMTvjsI1NIiy/CLy4+7fx6W5hTQcWDkhTlOsJmG36cMIdaVbfDcFpYcLPgN7AJB2\nNBr74MZoCospSTJ9vP3vEt60Gefj45jyzVdgMDB12DNsPX4UNwdH2gcG4efqypRvvkIEtGnUhOZ+\n/g+s8++Qd7PyGgoa1R9EkLD7OC5tgyjPLyL/T66h5GPn8esXQYPWTRBJxNzeV7shqn/Ko1x5sFmz\nZmzdurVG+p49e4y/xWIx48ePZ/x406ICIkNtXaZasHPnTj788EOmT59O3759kcvlxMTEMH/+fGQy\nGQaDgZ49ezJ27Fji4+MZN24cDg4ObNy4kenTp+Pu7s6kSZMAmDx5Mra2tsyePZvMzEwmT55Meno6\nUVFRbN26ldWrV7Ny5UoUCgUTJ04kLS2Nw4cPc+rUKd577z2+/fZbfH19WbduHcuWLePIkSO8+eab\nBAcHM2HChGrtfuaZZ+jYsSODBw+me/fuxolSAM8//zxt27Zl/Pjx5OfnM3r0aIYOHUqXLl0YNmwY\nu3btwt3dnW3btvH+++/zwQcfMGLEiD/to/WvLHw0nf8AbK3NHlzoEeDUwPSxv4fB/J9+feyacbl3\nHrsmwDevvVQnunWFrbPFgws9Aizs60Y341bugws9Atq9O/qR1R35xpJa7zvoy0kPsSWm8VjfQx04\ncCCurq6sXLmSTz/9lPLycjw8PHjqqacYNWoU165dY+bMmXzzzTe4ubkxaNAg1q9fT0VFRY26Jk2a\nxDvvvENISAiOjo6MGDGCxYsXk5+fz5AhQ4iLi2PAgAFYW1vTs2dP4/hq+/btmTBhAuPHjyc7Oxt/\nf3+WL1+OSqUiKiqKd955577tXrFixX3flV24cCEffvghHTt2RCwWM2jQIEaPHo1EIuHll19m+PDh\niEQiWrVqRZ8+fUhISKhRh4CAgIBA/eexeqiPi+vXr+Pk5GQccz127BhfffUVmzZtquOWPRjBQ308\nCB7qvxfBQ308PEoPdefk2nuoAxfXnYf6r1zL9/Dhw8yYMYPS0lJKSkr4/vvv6dDB9Fc3BAQEBAQE\n/i7/SoM6evRorKys6NKlC927d8fNzY3XX3+9rpslICAgIPA3eFQrJT1q/pWL41tYWPD555/XdTME\nBAQEBGpBPf2++L/ToAoICAgI1F/q2tOsLf/KkK+AgICAgMDjRvBQBQQEBASeKOqpgyoYVAEBAQGB\nJwsh5CsgICAgIPA/jOChCggICAg8UdRTB1UwqE8aEnHdnElyWd0EKyR1pPv+yz0eu6a6WPPgQo+A\n11esrRPdcO+WdaI7/a2edaIrszR/cKFHgK1L2YML1TMe1ddmHjWCQRUQEBAQeKKop/ZUGEMVEBAQ\nEBB4GAgeqoCAgIDAE0V9neUrGFQBAQEBgSeKempPhZCvgICAgIDAw0DwUAUEBAQEnihEdfS2wz9F\nMKgCAgICAk8UQshXQEBAQEDgfxjBQxUQEBAQeKKor7N8nzgPNSUlpa6bcF+e1HYJCAgI/NsQiWr/\nV5c8Eg/1lVde4dy5cwCUlZUhlUqRSiul5syZw8CBA++73/79+9mwYQPffffdX9afmJhI3759uXbt\nGidPnmTMmDEoFApjfnBwMHPnzsXb2/uhHE9mZiYDBw7k/PnzAGg0Gj7//HP27t1LcXExzs7ODB8+\nnFdffRWRSMTmzZuZPXs2ZmZm1eoZPnw47733Xu0aIYI2z3XH1sMRfYWOmO8PUJJdaMx2beZD0FPt\nEIkgLzGLcz8eNua5t/THK6QRp1btq5Vu4OBOWLo6oK/QcW3rr5TmFhmzGw8Ix9bHlYryymX1Yr//\nmYqyyt92vq40G9mDqI/X1eqQvbqHoXCyx6DTkXjgFOUFxTXKNBzSnYKEZHIu3QIg+LXhlOdXtq8k\nPZu04xdM1vXoGorC0Q6DTk/SoVNoCktqlPEb2JXC2ynkXolDLJXg3ScCiZm8cp8DJ9GqSk3W9evb\nAaWzPXqdjoQ9xynLr3m8gSN7kXcrkczzN5GaywkY1BmJmZyK0jIS9pxAqzZ9GbrgloFMmT6W/4yc\nUi29c/cOjJ38Ejqdjh0/7WXrxt2Ymcn5ePFM7B3sUKnUzJw6j/y8wj+p+f6IRCJGTn0aD383KrQV\n/PDpRrJTc4z53Z/pSmiPEPR6Az//cIDYqEuYK80ZPXMU5kpzpFIJW5bu4M7Vuybp6vV6lmzfxu30\nNGRSKW8OH4G7o6Mxf+fJ4+w/exaRCIZ36kLnFi1RlZbyycYfUZeVUaHTMXbAQJp6+5is+8XGn0hI\nTUUmlfL288/h7uxszN986DCHz50FoF1QEC/170+RSsW8NWtQlZVhrVTy3+efx87KyjRdg55vftnN\n3awMZBIJE/sNxtXOwZi/51w0hy9fQCSCwaHhRAQGU1yqZtGuLag15ViZWzCh7yBslZYm6T4M6quH\n+kgM6sqVK42/R40axZAhQxg6dOgD9yssLMRgMJis5+npyYEDBwDQarUsXryY6dOns2HDBpPruh9l\nZWWUlVXdqJYsWUJ8fDzbt2/H0dGRW7du8frrr6NUKnn++ecBCA0NZc2aNQ9FH8CjZUMkMgkH5/+E\ng68LLZ/uzPGvdwIgNZPRYlhHDn++GU1JGU16t8HMUkF5SSmtnumCa5A3+cnZtdJ1buqLWCrhzNfb\nsfFqQKP+HYj9/mdjvpW7E+dX7a5xIzezUeLVsQUiSe2CILYNvRBJJdzcuA+lqyMendqQsPNItTJu\n4a2QmMurNG2tUGfmkhB55I/V/W1s/D0RSyTEbf4FCxdH3DuGcGf30WplXNu3rKbr0CwAdVYemTGX\nsQ/0wzkkiNRjZ03StW/sjVgi4fLa3Vi6OeHTI5Qbmw9VK+PVJQTpPbru4S0oSs4k9eQlbHzc8Ooa\nQsKeEybpjh77LE8N7UWpuvoDgFQq4e1ZE3h2wFhKS8v4futSjhw8Qf/BPYm7cZtlX6yhz4BuvDbp\nRebPWWKSZouOwcjkUj4b/wW+Tb0ZNmEw38yovGcoLBV0G96ZWc/OxcxczozV7xAbdYkeI7py8/wt\nDm8+SgNPZ8bMfpGPX1lgku7Jq1fQVGhZPPENricmsmL3Tua8PAaAQlUJu06dYtmUqWi0Wl75/FM6\nNW/B1qijtGoYwNCOnUjOyuLjH3/g6ylTTdI9HnsJTYWWpW//l2t37vD1tm189PrrAKTl5HDwzBm+\nfudtxCIRkz5fSESLluyPjqaZvz8v9OnDuRs3WBm5k7dfeN4k3ehb19FWVPDpi69xMzWZ1Yd+5r3h\nlXUUqVX8fCGGRaPHo6moYOLKLwlv0owtp44R6OHN0x06c/FuAuuOHmRSv8Em6f4v89hDvhqNhvnz\n5xMREUF4eDizZs1CpVJx8+ZNPvjgA2JiYozG98iRIwwbNoy2bdsSFhbGokWLHli/TCajd+/e3Lhx\nw5i2cOFCwsPDCQ8P54033qCoqNKDefbZZ1m+fDm9e/emVatWzJs3j71799KlSxdCQ0NZv349AM8/\n/zw6nY5WrVqRm5vL1atXiYiIwPG3p9tGjRoxffp0oxf+KHBs6Eb6b0/kuXcysPduUJXn70Zhag6t\nhnem+9sjKCtSU15SeYPMSUjj7PpD96vyb2Hr60rOrWQACpMysfZwqsoUgYWjDYHDOtN23GDc2jQB\nQCyVEDikMzd2RNVa19LdmaK7aQCo0nOwcHGolm8b4AUGg7EMgIWzA3JLCxo93YuGQ7phZmdtsq7S\nzZmixMo61Rk5KJyr69o09MJgMFCcmG5My754g8wzVwCQWSnRlZu+CL61ZwPyb1cOK5SkZaN0dayW\n79DEB4PBQEFCqjHNwtGWgoTKfYpTMrHyaICpJCel8ubYmTXSfRt6k3w3leKiEiq0FVw4c4mQ0Ba0\nahvMiaMxABz/NZqwiBCTNf2D/bgWfR2AO9cS8W7sacwrLy0nLyMPM3M5coXc+IB9aPOvREWeBEAs\nEaPVVJise+XuHdo0rjxHA729uZWSbMyzUVryzZSpSCUS8ouLkUtliEQihnbsTP927QHQ6fXIZaZf\n45cTEght2hSApr6+3EpMMuY529nx6cQJSMRiRCIROp0OuUxKYkY6YUFBADTz8+NyQoLJutdSkmjl\n1xCAxu6exGdUnTvWFkq+GDMeqURCgaoEuVSKSCQiOSeLEL8AAALdvbiekmiy7sOgvoZ8H7tBXbhw\nIRcuXGD79u3s3buXtLQ0Pv74Yxo3bsysWbMIDQ1l27ZtFBcX89Zbb/Huu+9y5swZvv32W1auXEli\n4l//gzUaDZGRkXTq1AmACxcu8Msvv7Bv3z4OHTqESqVi48aNxvL79u1jw4YNbNmyhXXr1rF79272\n7t3L/Pnz+eSTT6ioqGD9+vVIJBIuXLiAg4MDPXv25Msvv2TOnDkcPHiQgoICevXqxTPPPPPI+k1m\nLkdbWnWjNhj0xne1zCwVODf2JHZbFEe/3E7j7q2wcrYFIPnsLTDd6TciNZMbQ7iVugajrkQmI/nk\nZa5sPMT5VXvwbB+EpYs9TQZ1JPHYRcqLVLXWlchl1Q2T3mC8WswdbLFv4kvayYvV9tGq1KTHXOHW\n5v2kR1/Bt29E7XQ12qoEwz269jbYNfIh43RszR0NBvyH9MCpRWMKE5Jr5j9I10yGrvwe3XuO18LJ\nFscgP5KPnq+2jyozD7tGXgDYBXghqcXN/uC+Y1RU6GqkW1oqKS6u+v+pVKVYWSuxtLQwpqtK1FhZ\nKU3WVCjNKVVVRTT0egPieyIZ+VkFzFr3LjNWvs2RLccAKC0pRavRYm1vxeiZo4hcvstkXXVZGUrz\nqi/CiMVidLqqY5dIJESeOM4bS7+ke+vWAFgqFJjJZOQVFzF/43rG9OlfO917hqTu1ZVKJNhYWmIw\nGFi2dRsNPT3wbNAAfw8PTl66BMCJS5cp15j+kKYuL0dp9ofj1d9zvGIJe86d5p3vl9MlqAUAvg1c\niYmvdEZi4m9QXqFF4O/z2Gf57tq1iwULFuDkVOnpTJs2jeHDhzN37txq5SwsLIiMjMTT05O8vDxK\nS0tRKBTk5OQYPcPfSUlJoU2bNgCo1WrEYjHLli0DwNLSkqysLLZu3UqPHj349ttvEYurLt4hQ4Zg\nb2+Pvb09Dg4OjBgxAgsLC8LDw9FoNOTm5tY4hmeffRYXFxc2b97MtGnTUKvVhIeH88EHH+Dm5gbA\nmTNnjG0CsLKy4siR2ocitWUapGZV4T6RSIRBX2kpy1Wl5N3NpKxIDUBWXCq2ns4UZxXUWu93Kso1\nSM1k99XVaStIOn4ZvbbSW8iLT8XKzQlbX1cUDpXeoUxhRvBzPbj840GTdHUaLRJ5lS4iKo0b4NDU\nz+iJyq0tMej1aIpKKE7JrDREgCotC5mlhcnHW6l7z2Vxj65doB8ySwsaDu2J3FqJXqdHU1xi9FYT\nth/EzM4av4Fdub420jTd8j8er8io6xTcELmVkqAX+mJmY4lBp6e8oISUk7H49WpH0Kh+FMQn/6MH\nmD9SUqJCeU//KZUKiotKKClRo1RWGgelpQXFRTXHlx9EqaoMM4uq+QUikQi9Tg9As3ZNsXawZuYz\nHwAwacE4Eq7cJvF6Em5+rvxn9kts+zqSuFjTPTYLc3NKy8uN2waDAYlEUq3MoPAI+oW1473V33Ix\nPp6WDRtyJz2deT+u49X+A2ju718rXfU9Q0b6P+hqtFrmr/sBC3MzpowcCcDzvXuzZNNmJi9cSLtm\nzXCyszNd18yMUs0fjldc/Xj7h7SjV8s2fLBpHZcSbzOsXSe+PbiHd39YSZuGjXC0sjFZ96FQ165m\nLXnsBjU/Px93d3fjtpubG2VlZeTn51crJ5FI2LdvH99//z1KpZJmzZphMBjuO8bq4eFhHEPV6XQc\nOXKESZMmsX79eoKCgvjkk09Yu3YtCxYsICAggHnz5tH0txCMjU3VCSMWi7G0tDT+Bv50TLdr1650\n7doVnU7H1atXWbhwIW+99ZZx3LZt27YPdQw1JyEN9+Z+JJ+7hYOvCwX3TOLIT8rCxt0BuaU5WnU5\njn4u3I66/FB0C+5m4BToTealBGy8GlCSkWfMUzrZEPxcL04v3oxIJMLW15W08zc5uaBq7LrTzJdM\nNqYAJWlZ2Ph5kH8rEaWrI6U5VQ8HqVFVnppr+xZoVaUU3U3DvWNrKkrLyTx7FYWjHZpi0w2MKi0L\nG18PCuKSsHBxpOwe3fQTVROcXMKao1WVUpyYjnObILQlavJv3EGvrTA+cJhCUXIm9gFe5F6/g6Wb\nE+rsqush8XDVeKxnx1ZoVGoKbqdi19CDzAu3KE7Nwr6xN9KUTJN1/4w78Yl4+XhgbWOFWl1KSFgL\n1q74CVf3BnTs2o4rsTeI6BLG+RjTz7PbV+4Q3CGI80cu4tvUm7TbVWF7dbEarUZLxW8h3dKSUiws\nFbh4N+DVOaNZ+X9rSE1I+7Oq/5IgH19OX7tK5xYtuZ6YiI+LqzEvOSuL1T/vZdaol5BKJMgkUsQi\nEYmZGcz9YS3vPf8i/r89LJtKM38/Tl2+TNeQEK7duYPfPfUYDAbe+2Y5rRs34tlevYzpsXHx9A8P\np5m/H0cvXKCZn5/JuoHuXpyJv0lEYDA3U5PxdqoaEkjJzWbd0QNMH/IsUrEEmUSCWCTiWvJderVo\nQ6CHFydvXCXQw6tWx/xPESYl/U0aNGhAamoqXl6V/6iUlBRkMhlWf5jBdubMGdatW8eWLVtwcXHB\nYDAQEvLg8RqJREKPHj3w9vYmOjoaR0dHvLy8+PHHHyksLGTJkiXMnj2bzZs3A6b/47RaLaGhofzw\nww8EBQUhkUho3rw506dPN05IehSkXIjHJdCbHtMqw8rRa/fTuEdrirMLSIu9zaXtx+kyuXLsOens\nLQrTanrWtSHr6m0cAjxoO34IAFc3H8GrY3NKc4rIvn6X9PO3CJ0wFINeT/q5m6gy8x9Q49+jIC4J\nay9XGo/sA4i4+8sJnFsHUl5QTOHt+7/ClBFTGea18XPHoDdw92fTJugAFCYkY+XlSsDTvQFIOngK\np1aVukV37q+bdzUBr14dcGjaEEQikg+eMlk372Yitn7uNHupPyJExO+OwjU0iLL8IvLj7h9CLs0t\npOHAyqENTbGahN3HTdb9I/0G9UBhoWDrhl0smLuUb9YtQCwWsX3TXrIyc9i0LpIPF85gzZYlVGgr\nmPbG3AdX+gcuHrtEkzaN+e/XUxAB33/yI91HdCE7NYdLJ67Q5HoS73zzJga9gYTLt7l+5iavz3sF\nmVzKiDcqz/FSVZlxItPfJTyoGedv3WLK0i8xGOCtEc+w5dhR3B0caB/UDD9XVyYv/RIRIto2bkJz\nf39mr1mNtqKCZTt3AKA0NzdOZPq7dGzRgnPXbzDxswUYgGmjXmDToUO4Ozmh1+uJjYtDW1FB9NVr\nALw6aCBeDZz5eO33ADja2po8IQmgXeNALt5N4J11K8AAb/QfQmTMCVzs7AkLCMTX2YV31q1AhIjW\nfgE08/IlPT+XRbu3AuBgaV1nE5LqqT19/AZ14MCBLF68mICAAGQyGZ999hm9e/dGJpMhk8koKakM\nIRUVFSGRSJDL5ZSXl/PNN9+gUqmoqHjwZIRTp06RkJBA8+bNuXHjBrNnz2b9+vW4urqiUCiqeaV/\nB7lcjl6vR61WY2FhQbdu3fjoo4+YO3cu/v7+ZGZmsnr1ajp37lyrPvlbGKgxuehmRpXxSjpzi6Qz\nt+67a9atFLJu1fI9WgNc336sWlJSdpXXlnjsIonHLv5xLyPHPlxbO10g6VB0te2s/KIaZdJPVY1n\n6so1xO84XKOMqaQciam2nX0f3YzoS8bfFaVl3I7857q3952stl2aW/N1lOSoKi+5LL+YK2v3/GPd\ntJQMXhgyHoC9kVXRhKOHTnL0UPU2lZWV89/xs/+RnsFgYMPnm6qlZSZlGX/v/m4fu7+r/oqXqcbz\nfojFYiYPG14tzcu5ymsb1bM3o3r2rpZvqvH8M92pzz1bXdfFxfh7/5eL77vfV2//95/pisSM71P9\nFUUPh6pJhSMjujEyolu1fFc7Bz4d9do/0n0YCGv5/k3Gjx9PaWkpgwcPpry8nB49ehjfzWzXrh1f\nffUVPXr04JdffuHAgQP07NkTc3NzOnbsSGhoKAkJCbi6ularMzk5mVatWhm3nZ2dmT17tnEMc9iw\nYTzzzDOoVCqCg4P56KOPTGpzgwYN6NChA+Hh4WzZsoWPPvqIL7/8kldffZW8vDyUSiV9+vRh6lTT\nptMLCAgICPx7EBlq8+KnwCNj42sPfjXoUeBgZ/7gQo8A+wamzxJ9GEikj3+RMHWx6TM1Hwavr6h9\nlOCfEO7dsk50p7/Vs050ZZZ1cw0VJeU9uNAjoMnoEY+s7pMfra71vh3e++dRhdoirOUrICAgIPBE\nIYyhCggICAgIPASEWb4CAgICAgIPgXpqTwWDKiAgICDwZFFfPdQn7vNtAgICAgIC9RHBoAoICAgI\nCDwEhJCvgICAgMATRT2N+AoGVUBAQEDgyaK+jqEKBlVAQEBA4Mming5GCgb1CUNcR2tYWtfRSknp\nyTXXyX0cePjU0Wep6oC6WrHoROKfr/H8KCkrMP07uA+DkkzTP2X3MLBv6PTgQvWM+uqh1tPnAAEB\nAQEBgScLwUMVEBAQEHiiqKcOquChCggICAgIPAwED1VAQEBA4Imivo6hCgZVQEBAQOCJop7aU8Gg\nCggICAg8YdRTiyqMoQoICAgICDwEBA9VQEBAQOCJQlRH7+P/UwSDKiAgICDwRFFPI77/eyFftVpN\nXl5eXTdDQEBAQOBfxr/GQ/3uu++4efMmn3zyyV+We+GFF5g2bRphYWFs27aN9957D3Pz6svuDRky\nhDFjxtC9e3du3rx533ri4+P55JNPuHDhAgaDgaZNmzJlyhTatGkDwKhRo7h48SJSafUuXr16Na1a\ntTL9AEUQ8mw3bDyc0FfoOLvuACXZhcZslyAfgvqHgUhEflIm5zccMea5t/THo3UA0at/Nl0X8Ond\nHgtneww6Hbf3nqC8oLhGmcZP9yQ/LomsizeRmMloOLALYrkUg05Pwq5jaFWlJh9v8PAuWLs5oq/Q\nEfvTYdQ5VccbNKQjdr6u6Mq1AJxZtYdGfUKxca9chs3MygJtaTknFm8x+Xg9uoWhcLTDoNORdPA0\nmsKax+s3qBuFt5PJvRxnTDOzs6bRM3258u1mDDq9ybp+fTugdLZHr9ORsOc4Zfk1dQNH9iLvViKZ\n528iNZcTMKgzEjM5FaVlJOw5gVZd9rf1RCIRI6c+jYe/GxXaCn74dCPZqTnG/O7PdCW0Rwh6vYGf\nfzhAbNQlzJXmjJ45CnOlOVKphC1Ld3Dn6l2TjxUguGUgU6aP5T8jp1RL79y9A2Mnv4ROp2PHT3vZ\nunE3ZmZyPl48E3sHO1QqNTOnziM/r/BPar4/eoOeb37exZ2sDGQSCRP7DcHN3sGYv+fsaQ5dvoAI\nGBIWQUTTYFRlZXy24yfKNBpkUglTBz6NnaWVycfqGtEGcwdbDDo9acdi0BTVXKbQq08nihNTyb+e\nYEyz8nHH2s+L1MOnTNbU6/Us2riRhJRUZFIpb7/wPB7Ozsb8zYcOcfjsOQDCgoJ4+an+lJSW8sHK\nVZSWlyOTSnlv9Ms42Dz+ZTrr62sz9d5D1el0rFixgk8//fRvlS8oKKi23aZNGy5cuFDtb9asWQ/U\nfO211+jUqROnT58mJiaGQYMG8eqrr5KdnW0sN2fOnBp118qYAu4t/BHLpBz+9CcubT9Oi+GdjHlS\nMxkthkYQtTSSQ/M3osotwsxSAUDLEZ0JHhxe6xPUrpE3YqmEa+v2kPzrOby7h9Yo49GpNVJzuXHb\nMTgAdXY+19fvI/f6HVzDmpms69LMD7FUwonFW7i++yRNB4ZXy7fxcCJ6+U5OLd3OqaXbqSjTcG3H\ncU4t3c7pZZFoy8q5tOnIn9T+59j4eyKWSIjb9DNpJy7g3jGkRhnXDi2RmMmrpYnlMtw6hqCvhSEF\nsG/sjVgi4fLa3SQePotPj5r97NUlpFo/u4e3oCg5kyvf7yH9zHW8utZs61/RomMwMrmUz8Z/wY7l\nuxg2YbAxT2GpoNvwznw6bhFL3vqapycNAaDHiK7cPH+LRW8s4fuPf2Tkm8Nrdbyjxz7L/81/B7M/\n9KNUKuHtWRMY+8JbjB7xBsOeG4C9ox0jRg0m7sZtXn56Eru2/sJrk140WfP0zetoKir47KWxvNi1\nN6sP7TPmFalV7Dsfw6cvvsbc58aw+tA+DAYDhy6dx9u5AZ+8+CoRgcFsO33cZF0rHw9EEgl3Ig+S\nGRNLg3Y111Z2btu8xjnl0r4VDUJb1Dr8eTw2Fo22gq/feZvXBg9m2dZtxry07BwOxJzhq7f/+//s\nnXd0VNXah59pKTPpvTdKCIQmIQmEDgLSi6gotk8BEVEEEVSuil3xoghKRxAU8dI7UqRDIJCEhBJC\nGumd9MlkyvfH4CRjwDAh3ID3PGtlrZzdfmefOfu8+917n3344e1ZRF25QlJGBvtOnybA04NFb82k\nX0gXNh442Djxe0Qkavxfc/LQG9TZs2dz/vx5xo0bZwirqKhg2rRphIaG0q9fP7788kt0Oh2zZs0i\nKyuLiRMnsmfPnrvW2LJlC8899xzDhw+nd+/e5ObmkpmZydChQ5HJZEilUsaNG8dTTz1FYWHh/agm\nTi09ybnlCRSl5GDv62qIc2zhQUlWIZ0e70XfmeNQllZSXa73CAuTsjn/y+FG61p7uXBmF+bDAAAg\nAElEQVQzOROA8qx8FG6ORvEOgb6gg5spmYawqvxiJGYyACTmskZ5aw4BHuRfvQHAzbRc7Lxre9aI\nQOFsR4cn+tL99bF4hwYZ5fXr2YH8hHTKsk3/LRQeLpSmZQFQmVOApatxfW1b+qDTQdmtNH/i3S+c\n7FMx6NRqkzUBbLxdKU7OAG5dZ3cno3jHNn7odDpuJtVeZ7mTHTeT9HnKMnKx9nLFFFq0D+By5BUA\nUi6n4RvobYirrqqmKKcIcwszzCzN0Ol0ABz6zxGObz8FgFgipkbVuPqm38jkzclz64X7t/QlPTWT\nstJy1DVqos9dpEtoRzp3bc/Jo2cBOHEkkrAepnUeAK5kpPFIQCsA2nh6cz279lrayBUsfHkqUomE\nmxVlyKQyRCIRvi6uVFWrAKhUVSOVmP7IlLs5UZ6RDUBVXiGWzg5G8Tb+XqDTUZ6RYxRemVtA1vEo\nk/X+JC4pidC2bQFoF+BPQlqaIc7FwZ6vpr2GRCxGJBKh1mgwk8kI8PCkUlkNQIVSiUQiabT+/yIP\nvUF9++23WbZsGc7OtV9c2LBhA2KxmJMnT/Lrr7+yb98+oqKimD9/Ph4eHqxYsYIhQ4aYpBMVFcWn\nn37K7t278fDwoEuXLjzzzDMsW7aMmJgYampqmD17Nm3atGnqKgIgszCjpkplONZptYaVcOZWFji3\n9uLi1hMcX7yN1v06Y+ViB0D6+Wv3pCsxN0NTXVdXZ+gGWjrZ4di2BRnHLxjlUVcpsfX3oMPLo3EP\nDSbvYiKmIrWQUVNVXaur0xnqKzGTkXL8ItHrDxC5bAe+Pdpj7a43fCKJGN/u7Uj+I9pkzT/Lrltf\ndLX1tXC0wz7Qn5zTxl9RcQvrQGlqBsqC4kZpgr7j8efwNQB1rrPc2Q6ndgGkHzW+zhW5Rdi39gHA\nvpUPEplpMziWCguqKmqHiLVaHeI6BqM47ybvr3uHd1fO4o9NxwCoKq+iRlWDjYM1L859lu3Ldpqk\n+ScH9x5DrdbUC7eyUlBWVmE4rqiowtpGgZWV3BBeUV6JtbXCZM3K6moUdaZ3xGIxGm3tOUjEEnZF\nnWHW2mX0Ce4IgI2lnJiURKYuW8jWMyd4tKPphlxiJkOrqv1tdXXuKXN7W2xb+pIXFVcvX2lyusla\ndamoUmJlaWk4FovFqDX6+kolEuysrNDpdPyweTOtvL3xdnXFxkpB1JUrPD/vI349cJChEd3v6Rwa\nzUPqoj70c6gudeYE/sTa2ppLly6xd+9eevXqxaFDhxCLb993OH/+vGHeE0Aul3Ps2LF66by9venQ\noYPheNWqVaxbt47ff/+dhQsXIpfLeeaZZ5g+fbpheHXevHl89tlnhjxPPPEEb7/9dqPqWaNUIbWQ\nGY5FIpHeuAGqciXFabkoSysByL+eiZ23M+V5N29bliloqlUGb/NPXW55K07BLTGzlhP09GDMba3Q\narRUl5Tj0imQ7Mh48mISsHS2p/XovsSt3m6SrlpZYzS8SZ36alRqUo7Foq3Re0eFiRnYeDpRll2I\nc2tvipKyUCtVtyu24fqqaozqCxjqa98mAJmVnJZjH8XMRl9fVWkF9m38qSmvxLFdS6RyS1qMHsD1\nTb+bplv9F90619m5fUvMrBW0m/AY5rZW6DRaqm+Wk3EqloCB4bR7dgg3r6dTXVpxh9JvT1WFEnO5\neR1JkWHIOji8LTaONsx98iMApn09haT4ZNKu3MAjwJ2XPnieLT9sJzE26bZlN5by8goUVnLDsUJh\nSVlpOeXllSgUeuOgsJJTdps5yIaQm5tTVW3cSZOIjT2wYSHhDOocwrxff+JiajK7os4wJrwngx8J\nJSUvh883b2DRxGkm6WpUNYjrdHZE1P62dq39kCrk+A3rh8xagU6joaasop632hgUlhZUVtfpMOl0\nSOt4nNU1NXz10zrkFhZMH/8UAGt37+apgY8yomdPkjIyeH/5clbPrT+ScL+5n6/NxMbG8sEHH5Ca\nmkrbtm354osv8PHxuWP6WbNmIZFIGlyfA/8Ag3o7xo0bR0lJCcuXL2fOnDn06tWLzz77DAcHh3pp\nu3Tpwrp16xoss64HDGBpacmkSZOYNGkS5eXlHD16lI8//hg3NzfGjx8PwAcffMCYMWOapE4FSVl4\ndAgg43wiDv5ulGTWDmcWp+dh4+GImcKCmqpqHP3dST4R3yS6ZZl52Lf0puhqKlYezlTm13ph6Udq\nh6M8e3SipryKkpRMHNr4ob7l5akrlUjMZfXKbYiilGxc2/mRHXMdO19Xo+FbK2c7Hnl+EMe+3ohI\nJMLe3530c1cBcGrtTd6VtDsV2yAV2fnY+ntxMzENuZsTysLaTkn2yVoP0S2sAzWVVZSlZXFlbW1n\noe2Lo0naavq8U2l6Lg6tfCi8klLvOqcdrr3O3j07o6qo5GZyJvYtvciNvkZZZh4Ogb5IM3JN0kyO\nT6F993Zc+CMG/7a+ZCXXDmNXllVSo6pBfWtIt6q8CrmVJW6+rkyc9yIrP1xDZlLWnYpuNCnX0/Dx\n88LG1prKyiq6hHVk7fKNuHu60rNvOPGxV+nRJ4wLZ+t7dA0R5OXL2cSr9GjbnquZ6fg61w6RZxTm\n89MfB3hn7HikYgkyqRSxSISVpQVyc71XaydXUKWqvlPxd6QytwBrH09Kk9OxdHFEWVR7T+VGxhr+\nd+4SjLqyqkmMKUBwQAtOxcXRt0sXLiWnEODhYYjT6XTMXbKUzoGBPD1ooCHcWi5HYaHvuNhZW1NR\ndfeL3JqS++VoVldXM3XqVObMmcPAgQNZvnw506dPZ8uWLbdNf/DgQXbt2sXIkSPvqvx/pEFNSkpi\nyJAhTJo0iczMTObMmWMwro2l7qKe3bt3s3TpUnbu1A93WVlZMXToUOLj47l27d6GWO9EZsx13IJ8\n6DfrCRCJOLf2d1r370x5fglZF5OJ23aSXq/rF45knE+kNKtp5nKLE9Kw9fOg7YShIILk3Sdw69oO\nZXEpN6/ffkgq4/gFAh7rgesjbRCJxSTvPWWybk5cEs6B3nR/fSwikYiYDQfx792JyoKb5F5KJSMq\ngR7TH0er0ZIRdZXyHP2rUAoXOzJuGdfGUHL9BtY+7rQaNwhEIm4cOIVz5yCqb5ZRmpLR6HIboigh\nDbsAT4KfH4oIEdd3Hcc9VH+dixNvf52rCktoOUK/OE1VVknSLtMWzMQcu0ibkEDe+mE6IuCnL36h\n/xN9yM8s4OLJeNpcucHbS99Ep9WRFJfMlXMJvPLZy8jMpDzxur6jWFWhZOm7K++p7gBDRg7AUm7J\n5g07+frj71m67mvEYhFbf9tDXm4Bv63bzicL3mXNpkWoa9TMfv1jkzXCA4OISbnO22uXoQPeGDqG\nbZEncbd3IKx1EP6ubsxauwyRSESXgFYE+/rj7uDI4j3b2HMhEo1Wy9QhoxrU+StlKRlYebrhP2IA\niCDzSCSO7QNRlZbVm4tvSnp26kjU1StMnT8fnQ5mP/csvx08hKezM1qdlpjERFRqNZGXLgEwadRI\n/m/4cOav/5ntx46h1miYNeGZ+3Z+zcGZM2ews7Nj2LBhAEyZMoW1a9dy/fp1WrZsaZS2qKiI+fPn\nM2bMGDSa+tMTt0Ok+3O1wUPOokWLyMzM5IsvvuCbb74hPj6ehQsXIpFImDp1Kl27dmXKlCkMGjSI\nt99+m/79+7Nlyxa2bt16Ww81IyPD8NrMX9MVFRXx2GOPMWHCBF544QXkcjmXL19m+vTp/Otf/6JP\nnz48++yzjB492mQP9bdXvm2S62Eqvn7//aXxAPm5pg1TNhVezVDfyvKahhPdB9btj2040X3gZFpM\nw4nuA//56LVm0VVX391Dt6lxaOnccKL7gHu//vet7MsrNzY6b9uXn7xj3Jo1a7hw4QLfffedIWzM\nmDG88sorDBw40CjtG2+8QY8ePcjJyTHYloZ46Bcl3Y7Jkydja2tL//796dmzJ87Ozrz44osAjBw5\nkpkzZ7JxY+N/MAcHB9avX8+lS5cYMGAAXbp04d1332XatGn06dOniWohICAgINCUVFZW1tt3wNLS\nkqoq4/fk9+zZQ0VFhdHbI3fDP2bId9q02oUCcrmcBQsW3Dbdq6++yquvvmo4vpMH6eXlZdjUYcyY\nMfXStWrViqVLl97xfO5mXlZAQEBAoD73aw7V0tISpdJ4XriqqgqFonbVeEFBAQsWLGjUM/wfY1AF\nBAQEBP4Z3K9VvgEBAWzdutVwrNFouHHjBv7+/oawkydPUlBQwPDhwwH9QiadTselS5cM62buhGBQ\nBQQEBAQeKO7X1oNhYWEUFhaybds2hgwZwvLly/Hx8aFFixaGNCNHjjRa1Vt3fU5D/CPnUAUEBAQE\nHmJE9/D3N1hYWLBs2TLWrVtHWFgYp06d4ttv9QtBhw4dyo4dO+7ptAUPVUBAQEDgf4bg4GA2b95c\nL3z37t23TV93fU5DCB6qgICAgIBAEyB4qAICAgICDxQP6+fbBIMqICAgIPBAIRhUAQEBAQGBpuAh\nnYwUDOoDhkJu+kbyTUFxYVXDie6Hbonpm403BS7K//42cXYu8oYT3QfmzHy0WXSVN3s0i+649xc3\ni+6X4+685d39pKK4eTawd+93/8p+WD3Uh7QfICAgICAg8GAhGFQBAQEBAYEmQBjyFRAQEBB4oHhY\nh3wFgyogICAg8GDxcNpTwaAKCAgICDxY3K/N8e83gkEVEBAQEHiweEiHfIVFSQICAgICAk2A4KEK\nCAgICDxQPKQOquChCggICAgINAWCh9rEVFZWolQqcXBwaO5TERAQEHgoEV6baUYCAwOxtLQ0+hEk\nEglRUVF/m69fv358/vnneHp60r9/fxISEoiMjOT555/H0tLSkC44OJiPPvoIf3//Bs9lwoQJzJ49\nm7CwMJO+9N4gIgge2xsbDye0ag0Xf/uDyoISQ3TbUT1w8HdHXV0DQNTqPei0WoLH9kbuaINIIuHS\n1mOU3MgzWbft6N7YeDiiVWuI/88fVBaWGqLbjOiBvb8bmlu6F9bsRSQS0XP205TnFAGQG59C2omL\nJuuGTRiAvbczGrWGM2t+pyzvpiHao70fHUZ0QyQSUZiay9n1h5CaSekxeShmcgu0Gg0nV+6j6ma5\nabqA38BuyF3s0Wq0pOw9SfXNsnppWo8bQHFiOvkxCbiHtcc2wBMAibkZMoUlMd9vNEnTrUcIFg52\n6DRaso6fpaa0/nn7DO5FWVomxVeSDGHWfp7Y+PuQ+cdpE2sJWq2WRVu3kJydhUwq5c3Hn8DTyckQ\nv+PUCX6PikIkgsd79aF3x05UVFXxxa+/UKlUotZomDx8BG19/UzT1WlZum8nKXk5yCQSXhsyGg8H\nR0P87qgzHIqLRgSMDutBj7btqVAqmb9tI0qVCplUwowR47C3sja5zgDtOwUxfc5kXnpqulF47/7d\nmfzG82g0GrZt3MPmX3dhbm7G5wvn4uBoT0VFJXNnfEZxUckdSr4DImg3pjfW7o5oNRrifzNuQ0Ej\n9W3oz7Z74Ud9G+o152nK/mxDcY1oQzTPvdwkCKt8m5ddu3bh5eXVJGV5eHhw+PBhANRqNYsWLWL2\n7Nn89ttvDea9efNmg2kag1twAGKphFPfbcbO15WgERGcX73HEG/r5Uzk8p3UVNTu69lqUFfKcoqI\n3XAIa3dHbDwcTTaoru0CkMgknFm8BVsfVwKHRxC9Zq+RbtSKXdRU1uo6tvIiOzqRK9tPNLq+3p1b\nIpFJ2PfZBpwC3OnyZG+OLNoOgNRCRpdxvfn9q9+oLq+i7eCumFtb4h8eRGFqLnE7zxAQ0Y52j3Ul\nasMfJunat/ZBJJVwef0eFB7O+PTrSuKWw0ZpvHo9gtTC3HCcHRlHdmQcAK3H9if9yN935P6KtZ8X\nYomE1B0HsXRxxC2sE+kHjK+dS0gHxGZmRmGu3Tpj5eWOsrDYJL0/OXUpHpW6hoWvvc6VtDSW79rB\nvBf+D4CSinJ2nj7NkukzUNXU8PK/v6JXh45sPn6Uzi1bMaZnL9Lz8vj8l/X8MH2GSbpnEq6gUquZ\n//xkrmams/rQXuaOmwBAaWUFey+c5duXpqJSq3lt+UIigoI5dPECvi6uvNhvMPujz7HlzAleGvCY\nyXV+cfJ4ho0ZSFWl8d7VUqmEWe9PZfzwyVRVKflp8/f8cfAkQ0c9SuLVZJZ8u4bBw/sxadpzfDlv\nkUmaru30bffM4i3Y+bjSZngEF+q0IRsvZ84tr9+GsqITubKt8W2oOe7lpuJh9VD/8XOozz77LFu2\nbDEcz5kzh0WL7r5BSKVSBg8ezNWrVw1hR48e5fHHH6dr166EhYXx9ddfAzBr1iyysrKYOHEie/bo\njV1+fj4TJ06kS5cuPP7446SnpzeqHvb+7uRfvQHAzbRc7LydayNFoHC2o8O4PnSbNgav0CAAnAN9\n0Go0hE4aTqtHQ8hPMF3b3t/NoFtyIxdbL2NduZMt7R7vQ9jU0Xh2bQOAjaczNl4uhL4ykk4TBmJu\nbfqm8C6tPMmKTwWgIDkbRz9XQ5xzCw+KMwvo8mRvBs55EmVpBdVlVVw9cIH4XZEAKBysUVWavvG+\ntZcrJSmZAFRk5aNwczSKtw/0RafTUZKcWS+vfWsf1EoVpalZJmnK3ZwoT88GoCqvEAtn4+kCa38v\ndOioyMgxCq/KLSD7ROMfePGpKYQE6n+zIF9frmXU3h+2CiuWTp+BVCKhuKwMM6kMkUjEmJ69GRre\nDQCNVouZzPQ++ZWMNB4JaAVAG09vrmfXXksbuYKFL09FKpFws6IM2S1dXxdXqqpVAFSqqpFKGvfo\nSr+RyZuT59YL92/pS3pqJmWl5ahr1ESfu0iX0I507tqek0fPAnDiSCRhPbqYrGnv70ZBwq22eyMX\n27+2XSdbgsf1IXzqaLxutSFbL2dsvVwImzKSTs82rg01x738v84/3qDeKyqViq1bt9KrVy8AKioq\nePPNN3n77bc5d+4cq1evZs2aNSQnJzN//nw8PDxYsWIFQ4YMAeDcuXNMnjyZM2fO4OLiwrJlyxp1\nHlILM9RKleFYp9UZXn6WmMlIPX6R6J8Pcnb5TnwjgrF2d8RMYYHM0oKzy3eSezmVoOHdTdaVmP+9\nbtrJOC5uOEjUyl34dAvGyt2Rivxirv9+lrNLt5N7KYWgUT1N1pVZmqOqqjWIdXUtrC1xa+PNhf8c\n4/A3Wwh6tAvWrvb6dDodj84aR5sBnUm/kGiyrthMhqa6Tn11OsOSQ0snOxyDAsg8Hn3bvO7hHcg8\nGWO6pkyGVlVTG1BH09zeFtsWvuRHxdXLV5rcuM7Zn1QqlSgsLGrPQyxGo6n9Co9EImH7yRO8/v13\n9H/kEQCsLC0xl8koKivly19/5v8GDzVdt7q6vq62jq5Ywq6oM8xau4w+wR0BsLGUE5OSyNRlC9l6\n5gSPdjTdsAEc3HsMtbr+l4asrBSUlVUYjisqqrC2UWBlJTeEV5RXYm2tMFlTamFGzd+1oRNxxP5y\nkHMrd+HTXd92y/OKSdx/lsgl28mLT6HtaNPbUHPcy02G6B7+mpF/zJDviBEjEItr+wdffvkl/fv3\nb1RZWVlZhISEAPpFRmKxmO+//x4ACwsLtm/fjre3N8XFxVRUVCCXyykoKCAgIKBeWT169DCU1adP\nH4PnaipqpQqpeZ0hP5EInVYHgEalJuX4RbQ1agAKEzOw8XBEVakk91IKALmXUmnR7xGTdTXVKqTm\ntZ+UE/1FN+1EHd2kTGzcHcm9lIJGpQ/LjU+h1aBQk3VrqqqRWdy+vtXlSgpTclCWVuo1rmXg4ONM\nWa5+6PPA/P9g4+ZAv+mj2TZnlUm6WlUNEjPj+qLT6zoFt8DMWk6b8YMxt7VCp9GgKimnJCUTC0db\nNNWq285RNahZU4PYrG5TrNW0beWHTCHHd2g/ZNYKdFoNqrKKet5qY5BbWFBVXafTotMhkUiM0oyM\n6MGQsHDeW72CmOvX6dSyJSnZ2Xz2yzomDh1OhxYtTNc1N6+vKzbWHRYSzqDOIcz79ScupiazK+oM\nY8J7MviRUFLycvh88wYWTZxmsvadKC+vQGFV6wUqFJaUlZZTXl6JQqFfT6GwklN2m7nthtC33Tu3\nodS6beh6JtZ/aUM5jWxDzXEvNxXCkG8zs2PHDqKiogx/jTWmoJ9D/bOc+Ph4Fi5cyBtvvMHFixeR\nSCTs37+fnj178uSTT7Jx40Z0Op2+93cbbGxsDP9LpVIjD8AUilOzcQ7yAcDO15Wy7EJDnJWzHd2n\njQGRCJFYjIO/OyUZBRQnZ+MS5AuAY4CHYZGQabo5ON8qw9bHlbKcWl2Fsx3hU2t17f3cKc3MJ/jx\nvri113cuHFt6UpKRb7Ju/vUsPNvrF4E5BbhzM7PAEFeUloudpxPmVpaIxCKcW7hTklVI8JBQ/Lvp\nh7vV1Sp0Wq3JumUZedgG6OfiFR7OVObXzk+mHznP5XW7ubphHwVx18k+d9kwpGbr50FJcobJegCV\nOQVYeXsAYOniSHVx7Tx83tlYUrYfIG33YUqupVAUl9AkxhSgnZ8/Z69eAeBKWhp+bu6GuPS8POb9\ntAadTodUIkEmkSIWiUjLzeHj9WuZM34CoW2CGqUb5OVLVNI1AK5mpuPrXDucn1GYz2ebftHriiXI\npHpdK0sL5OZ6r9ZOrqBK1bTf0U25noaPnxc2ttZIZVK6hHUk9vwlYqLi6Nk3HIAefcK4cLb+SEFD\nFKfm4NxG34bsGmpD/vo21H5cX9w66NuQUytPSjJNb0PNcS//r/OP8VDvhEgkMjJiN2/exNPT867z\ni8Vi+vfvT0BAAGfOnEGtVvPjjz+yadMm3N3d0el0hIaa3ns0lZy4ZJxaexsMZ+yvh/Dv3ZGKghLy\nLqWSef4aEW+MRafRkhGVQHluEdcPnafDE33p/vpYtBotsb8cNFk3Nz4Zx1behE0dg0gEcRsP49dL\nr5t/OZXM8wl0m6YvP+t8AuW5xVzbc5rgJ/rh0z0YtUrNpf+YtjAI4MaFRNzb+jLo3fGIgFOr9xM0\nsAtleTfJiEkievNx+s8YC0DauQRuZhaiLKui+0uDadmzPSKxiFOr95usW3wtDVs/D4ImDEEEJO85\niVvXtiiLy7h5/c5DrBYONpSkZpusB1CWmoHCyw2/EQMAyDoaiUP7QFQlZZTfuH9zWBHtgrlw7RrT\nv/8OnQ5mPvEkm44dxdPRkW7tgglwd+eN779DhIiugW3o0KIFH6xZTY1azZId2wBQWFgYFjLdLeGB\nQcSkXOfttcvQAW8MHcO2yJO42zsQ1joIf1c3Zq1dhkgkoktAK4J9/XF3cGTxnm3suRCJRqtl6pBR\nTXINhowcgKXcks0bdvL1x9+zdN3XiMUitv62h7zcAn5bt51PFrzLmk2LUNeomf36xyZr5Mbr2274\na2OA2jZUWVBC3uVUsi4k0O11fdvNvNWGEvacpv2tNqRRqYn/zfQ21Bz3clMh7OX7gOLr68uBAwcY\nPXo0ly5dIjIyknbt2plURmRkJImJicyePZuysjIkEgnm5uaoVCqWL19OaWkparV+eEYmk1Febvqw\nUIPoIH7TUaOglDqvkST/EU3yH8bzITWV1Zxfs++edS9vMdatyK/VTT0aQ+pR47mWquIyzi3bfs+6\nkeuMOwCldTzs1LMJpJ5NMIpXllZy+Jst3Cupvxu/gpJzm9ck/jq/lHYg8p40c/6yuKgoLqFemvwL\n8fXCKrPzqMw28VWoW4jFYt4Y+7hRmI9Lrbf47KODePbRQUbxphrP2+qKxLz62EijMC+n2oU643v2\nY3zPfkbxjtY2fPDkc/esDZCVkcOE0a8CsGd77T129NApjh46ZZRWqazmrVc/uDdBHVzafOc2lHIk\nhpQjf2lDRWWcXXqPbYjmuZebhId0yPcfb1AnTZrE7NmzCQ0NpX379gwfPrzBPFlZWXTu3Nlw7OLi\nwty5cwkLC0Or1RIREcGjjz6Kubk5ERERhIeHk5SUREREBCNHjmTmzJm8884797NaAgICAv9YHtY5\nVJHuTpN/As3C7hnfN4uuRNI8N3B+YVXDie4DgYGODSdqYqwcLBpOdB9QuFg1i67yZvP8tuPeX9ws\nul+Oe7JZdB2dTX+lpikInf3CfSs7Y0/jR9a8hgxuwjMxjX+8hyogICAg8JDxcDqogkEVEBAQEHiw\neFgXJf1jXpsREBAQEBBoTgQPVUBAQEDgweIhXZQkGFQBAQEBgQeKh3WVrzDkKyAgICAg0AQIHqqA\ngICAwIPFQ7ooSTCoAgICAgIPFA/rkK9gUAUEBAQEHiweTnsqGNQHDXMzScOJ7gMu3tbNorvl9JVm\n0e02wP+/rik1b57mJrNqnh2aynPvw57Wd0Fz7Vg0+z8bm0U3Ku7e968WaBoEgyogICAg8EDxsA75\nCqt8BQQEBAQEmgDBQxUQEBAQeLAQVvkKCAgICAjcOw/rkK9gUAUEBAQEHiwEgyogICAgIHDvPKwe\nqrAoSUBAQEBAoAkQDKqAgICAgEATIAz5CggICAg8WDykq3zvm4eakZFxv4oWEBAQEPgHIxKJGv3X\nnPyth/ryyy9z/vx5AJRKJVKpFKlUn2XevHmMGDHitvl+//13NmzYwI8//ghAr169KCkpQSzW22+d\nToeHhwczZsxgwIABTVYZAI1GQ9++ffH19WXdunVGcb169WLBggWEhISYVGZZWRmLFi3i4MGDFBcX\nI5fL6dWrFzNnzsTJyemuymistgERtBnZEyt3R3QaLZc3H6GqsNQQ3Xp4BHa+bmhUNQDErN2HxExK\n8JP9EEkkqKuUxP962BBvCp69Q7FwskOn0ZLxxxlUJfW3lPMb1pfSlAyKLiUikkrwGRiBxNwcnUZD\n+qHTqCuqTKuuSMTTM5/Aq6Un6ho1P33xC/mZBYb4R5/qR+ijXdBpdexZ9zsxxy5iZmHGyx88j9xa\njkat4cdP1nGzoMQkXa1Oyw+7t5OSm41MIuX1EWPwcKj9jXedPc3B2POIEDGme+yeKtEAACAASURB\nVE96tuuARqtl5f7dJGZnUqNW80yf/oS2Drp7Ta2WRTu2kpKdhUwqZfqYcXg61mruOH2SAxeiQCTi\n8R696d2hoyHuRl4ebyxZxMZ338dMJjOtrlot3/66kaTMTGRSKbOeeRpPFxdD/H8OHebw+SgAwtu1\n4/mhQymtqOCzNWuoUCqxUSh465lnsLc2fdtK9x4hWDjq76msY2dRlda/p3wG96IsLZPiK0mGMGs/\nT2wCfMg8fNpkTUTQbkxvrN0d0Wo0xP/2B5V12lDQyB7Y+7uhrta3kQs/7kUkEtFrztOU5RQBkBuX\nQtqJi6ZrA+07BTF9zmReemq6UXjv/t2Z/MbzaDQatm3cw+Zfd2FubsbnC+fi4GhPRUUlc2d8RnGR\nifeyVssnX35NQmIiZjIz5s19Bx9vL6M0RcXFPPfyK2z+5SfMzc1RKqt55/15FN16zn364Vwc7O0b\nVd974p+4KGnlypVER0cTHR1NSEgI8+bNMxzfyZgClJSUoNPpjMJWrVplyHvu3DlGjRrFW2+9RWlp\n6R1KaRzHjx+nVatWpKSkkJSU1HCGBlAqlYwfP5709HR++uknoqOj2bJlCxYWFrz88sv16nm/cG7r\nj1gmJWrJNhL3nqH10G5G8TaeTkSv3s355Ts4v3wHmmoVfr07kX3hGueXbacsqxDP0Lt/yBvKDfBG\nJBGTtPl3ck5H4x7xSL00buEdkZibGY4d27akKq+I5K0HuHktFZfObU3W7dSzAzIzGV++soAtS3cw\n7rXRhjhLK0v6j+vNF5MX8O2M73ny9bEA9BzenbSEdL5+bSFn9p9j0DOmd9ZOX72MSq3m3y+9ygsD\nBrPy9z2GuJLKCvZERfL1/03h0+deZuXve9DpdBy+GI1aq+Hr/3uFfz31LFlFhSZpnrp8iRp1Dd9O\nmcb/DRrC8j07azUrKtgVeZpvXnmNL1+axPK9Ow33XIVSyYq9O5FJG7f/84nYi6jUNXw/6y0mjRrJ\nD1tq94TNKijg4LlzLH7rLX6YNYtzV66SlJHJz/v2E9yiBYtmzmRMnz6s3L7DZF1rPy9EEgkp2w+S\nezYW1/BO9dK4dO1gdE8BuHXrjGtox0Y/a13bBSCWSjizeAvXdp+hzfAIo3gbL2fOLd/F2SXbObtk\nO2qlChsvZ7KiEw1hjTWmL04ez4dfvo35X+oklUqY9f5UJk+YyYtPvM7Yp4fj4GTPE8+OIvFqMi+M\nm8bOzfuZNO05kzUPHzlGdbWKn1evYPprU5j/7XdG8SdPn2Hya9MpKKy9Xzdu3kKrlgGsXbGEEUMH\ns3zVmkbV914RiUWN/mtOGj3kq1Kp+PLLL+nRowcRERG8//77VFRUkJCQwEcffcTZs2cZM2bMbfPK\nZDLGjRtHVVUVGRkZqNVqAgMD2bBhA927d6dbt27s2LGDr7/+mq5duzJgwACDp5yQkMC4ceMICQlh\n2LBh7N6926jszZs3079/f0aMGMGvv/5aT/vQoUP069ePsLAwVq9eDcDatWuZOHGiUd1CQkJITExk\n/fr1aLVavvvuO7y89L07V1dX/vWvf9G7d29KS0tJS0ujV69eTJ06ldDQUGJiYjh//jzDhw+nc+fO\nzJs3D61W29hLDYCdnxuFCTcAKE3Pw9qz1pNABJaOtgSN6UXIK6PwCAkE4NquU2RHXwMRmNsqqKmq\nNllX4e5M2Y1sACpzC5E7OxrF27bwRqeD8htZhrCCiwnknb8EgMxKjkalMlm3ZYcALkVeBiDlUiq+\nbXwMcaqqagpzijG3NMPMwhydVm9gDv3nCHt+2g+Ag6s9lWWmecUAl2+k0qVlawDaePlwPSvTEGcr\nV7DolWlIJRKKy8swk0oRiURcSLqGo7UtH/yyhkU7txBmgncKcCkthZBWbQAI8vElMbN2usRWoWDJ\ntDf1mmVlmElliEQidDodC7du4oWBj2EhM7tT0X9LXFISoW31nZ22/v5cS7thiHOxt+er16YiEYsR\niURoNBrMZFLScrIJa9cOgOCAAOIa0WmVuzlRnqG/p6ryCrF0djCKt/H3Ap2O8owco/DK3AKyjkeZ\nrPcn9v5uFNxqQzdv5GLr7VwbKQKFky3B4/oQPnU0Xl31v4etlzO2Xi6ETRlJp2cHYm4tb5R2+o1M\n3pw8t164f0tf0lMzKSstR12jJvrcRbqEdqRz1/acPHoWgBNHIgnr0cVkzQuxsfToHgZAx/bBXL5y\n1SheJBaz4vvvsLWxMYRFx1wkols4AD26d+PM2cZf7/9FGm1QFyxYQHR0NFu3bmXPnj1kZWXx+eef\nExgYyPvvv09oaChbttz+KwhKpZIVK1bg4uJCQECAITwuLo4jR44wffp05syZg1wu59SpUwwcOJDv\nvtP3rr766itGjRpFVFQU7733Hh9++CHV1XpDUVRUxMmTJxk6dChjx45l+/btKJVKI+3o6Gg2b97M\nL7/8wqpVqzh58iRDhgwhMjKSkhL9kMrx48fx8PCgVatWHD58mGHDhiH7y3CaWCzmzTffxNbWFoDc\n3FzCw8M5cuQIrVu35rXXXuO5557j7NmzODs7k5+f39hLDYDUwgy1so5h0mkNvTGJTEbG6XjiNx4m\nevVuvMLbYeWmf0iJRGLCpz+BfYAnxUmZtyv6b5GYydDWGSbW6XSG4RhzB1vsWvmRGxlbP6NOR8DI\n/jh1CKQk2fT5dAuFBVUVtb+dTqtFLKm9XYvyipm37j3mrn6bw5uO1kmnY8bCafQb24voY7c5rwao\nrK5GYV77dRaxSIRGqzEcS8QSdp49xcxVP9C3vd6zKq2sJLu4kA/HP8/jEb35Zvsm0zUt6mqK0Wjq\naEokbD99kjeWLKZ/p84ArD90gNA2QbRw9zC5jgZdpRKFpWWtrrhWVyqRYGtlhU6nY8nmLbT09sLb\n1ZUWXl6cuqj30k5ejKO6EZ2lv72n7G2xbelLXlRcvXylyekma9VFamFGTZ02pNPqatuQmYy0E3HE\n/nKQcyt34dM9GGt3R8rzikncf5bIJdvJi0+h7eiejdI+uPcYarWmXriVlYKysgrDcUVFFdY2Cqys\n5IbwivJKrK0VJmtWVFRipbAyHIvFEtRqteG4e1godna2RnnKKyqwttLnUcjllFU0zxeDHlYabVB3\n7tzJG2+8gbOzM7a2tsyePZudO3fecQh04sSJhISE0KFDB8LDw8nOzmbt2rVY1HmQPPfcc5iZmdG1\na1c0Gg0vvPACMpmM7t27k5Oj761aWVlx6NAhjh8/TpcuXYiMjMTc3ByAHTt20LdvX2xtbWnRogX+\n/v71PNipU6dib29PixYtGDt2LPv378fZ2ZkuXbpw4MABAPbu3cuwYcMAyM/Px9XV1ZB/27ZthISE\nEBISQseOHdm1a5chbujQocjlcs6fP4+VlRXjxo1DJpMxefJkg+FtLGqlyngITCQyeGaaGjU3TsSh\nrVGjUdVQlJSFlbvek9RptZz55jeubj1Kuyf6mayrUdUgNqsz1S4Swa3f2D4wAJmVnIBRA7BvE4Bz\npzZY+bgbkiZvP0TSlgP4Djb9IaSsUGIuN68jK0Kr0Xv5weFtsXO04Z0nPmTO2Pfp1LM9fkG+hrQL\n3ljE/KkLmfLpSybrys3NqVLVevJanQ6J2HhIdXhod9bNfJf4G6nEpiRhYykntFUbRCIR7f0CyCws\n+GuxDWpWVtdq6nQ6JBJjzZHdItjwzr+IS0khJuk6h2IusD/qLLNWLKGovIx3flxhel0tLKis0+HU\n/kVXVVPDJz+uobJayfSnngLgmUGDyCks4o0FC8gtKsS5EfNrGlUNYlntPSWi9p6ya+2HVCHHb1g/\n7Fr749g+ECsvN5M1bodaqUJqXtsxFtVtQyo1qScu6ttQdQ2F1zOxdnek8Homhdf1HdGc+BRsPO5u\nzcTdUl5egcKq1utVKCwpKy2nvLwShULf2VFYySm7zRxzQygUcioqKw3HWp3WsAbmTlgpFIY8FZWV\n2FhZ/W36+4ZI1Pi/ZqTRBrW4uBhPT0/DsYeHB0qlkuLi4tumX7FiBVFRUezatQt3d3f8/PyMvFPA\nYHQkEgkSiQS5XH+jicViw5DpvHnz8PLy4p133iEsLIx///vfhl71li1b+OOPP4iIiCAiIoKEhAQ2\nbNhgpOHhUdujd3V1JS8vD4Dhw4ezd+9eqqurOXLkiMGgOjo6UlBQ+4D80zuOioqibdu2Bm2JRIKD\ng94rLCwsxKXO4g6JRGJklBtDSVoOTreGPW28XSi/tUgCQO5kS8iUUSASIRKLsfNzoyyzgMCRPbEP\n0NdXXV3TqPneiux8rH30ZchdHVEW3jTE5ZyO5vqm/SRvO0jx1WTyY65SfiMb50faYdda/71RbU2N\n4WFpCklxybQP1w8t+rfzIzM5u/acyqpQVdegVqlRq9RUllcht7Jk8IRHCR/UFQBlVTVarem6bb39\nOJeYAMDVjBv4udY+zDMK8vlk43p0Oh1SsQSZRIJYJKKtj68hT3JONi62dqZp+vpx7pr+u7BXbqTh\n51armZ6fx0fr1+o1JRJkUilikYg1b81h/sQpzJ84BQcraz5/ceKdir8jwS0CiLykH5q/nJJCQJ22\nodPpeG/pMlp6eTLz6aeR3FpQGJt4naERESycMQMPZ2eC/9KG74bK3AKsvPVali6OKItq76ncyFhS\nth0gdddhbl5LoTAuod7Qb2MpTs3BuY2+42Xn40pZTu3cocLZjvCpYwxtyN7fndLMfNqP64tbB30d\nnVp5UpJ5byNNfyXleho+fl7Y2FojlUnpEtaR2POXiImKo2ffW0OvfcK4cLa+x94QnTt24PhJ/eKt\n2Lh4WrVocRd52nP85CkATpw6zSOd689v/zf4R67y/TtcXV3JzMzEx0f/kM/IyEAmk2HdwIo/Hx8f\nvvvuO8aOHUvLli0ZOnSoIe5uLsa1a9eYM2cO8+bNIzY2lilTphAaGoqDgwO5ubns3bvXsJpYqVQy\ndOhQLl26RLtb8z55eXm0uHVjZWZmGgzswIED+eSTT9i7dy+tWrUyhPfp04c9e/bw0ksvNdi7+xMn\nJyeys2sNgE6nMzLKjSHvUgoOLb30hhO4vOkIPj06UFlYQsGVNHKir9H11dHotFqyL1yjIq+Y9FNx\nBI3upTekOh1Xtx03Wbc0OR1rb3dajBkIIsg4dAanjm1QlZRRmnr7IeTiK0l49++GQ9sWiEQi0g+d\nMVk3+thFgrq2YfaSN0EkYu1nPzPgyb7kZ+QTezKe1CuBvLN8JlqtjusXk7h87irp1zN5ce4EIoZ1\nQywWs+az9SbrdgtqS3RyIjNXLQF0TB/5OFtPH8fdwZHwwLYEuLoxc9USRCLo0jKQ9n4BtPHy4fvd\n25ix8gd06Jg6bJRJmhFtg7lwPZHpSxeDTseMsU+y+cRRPByd6BbUjgB3d6YvXYwICGndhg4BDT8Y\n74aeHTty/spVXpv/NTpg9rMT+O3QITydndFqtcQmJlKjVhN5ST+XPXHkCHxcXfh87U8AONnZMWvC\nMybrlqVkYOXphv+IASCCzCOROLYPRFVaRllaVsMFNJLc+GScWnsT/pp+bUfcxsP49epIZUEJeZdT\nybqQQLfXx6LTaMk8n0B5bjEJe07T/ol++HQPRqNSE//bH01yLkNGDsBSbsnmDTv5+uPvWbrua8Ri\nEVt/20NebgG/rdvOJwveZc2mRahr1Mx+/WOTNfr36c3pyHNM+L9J6NDx8fvvsfbnDfh4edG39+1H\njZ54fAzvffgxz738CjKZlC8/nnevVW0cD+kqX5HuLt2WZ599ltGjRxsWGn3zzTdERkayePFiZDIZ\nM2fOxNbWln//+99s27aN9evXs2mTfi7pdq+MLF26lB9//JG9e/diY2NDu3btOHr0KG5ubqSlpfHY\nY49x+bK+IZ86dYoPPviAAwcOMG7cOHr37s2UKVPIycnh8ccfZ+nSpWzduhWtVstHH31kdN6vv/46\nNjY2fPLJJ/Tq1QtfX18WL15MdnY2L7zwAsuXL6dDhw6GtLGxsUyaNIlnntE/KCorK3nyySfx8fFh\nxowZtGjRgvz8fH7++WdWrlzJkiVL8PHxMTrf6upqHn30USZOnMhTTz3F+vXr+eKLL/j5558bfG3m\n4Jyld/NzNDku3qa/+tAULN5gurFtCt5+te9/XVNq3jz7qJjZNW4hzb1SnHRvncjGcuNaUcOJ7gOz\n/7OxWXSj4m6/VuV+Y2bj2HCiRlIUc7bReR06hTbhmZhGo4d8X331VTp06MCoUaMYMGAAzs7OzJun\n782Eh4dz8+bNv33H9KWXXsLJyYlPP/3UJN3PP/+ckydP0rVrV5588klefvll2rRpw+7du3nsscfq\npR85ciS7d++mvFw/B9GpUycGDx7MlClTmDVrlsGYgn7Yt6CgwKgcuVzOxo0badmyJa+++iqdO3dm\nxIgRJCcn8/PPP9OzZ/2enrm5OUuWLGHr1q107dqV+Ph4WrVqZVI9BQQEBAQeLu7aQxX47yB4qP8d\nBA/1/iN4qP8d/pEeauy5Rud16Ni1Cc/ENITN8QUEBAQEBJoAwaAKCAgICDxY3MfXZmJjYxk1ahSd\nOnXi6aef5saNG/XSlJWVMWvWLMLDw4mIiOCTTz5BdRfvXAsGVUBAQEDggeJ+vTZTXV3N1KlTefnl\nlzl79izdu3dn+vTp9dJ99dVXVFdXc+jQIXbu3ElcXJxhZ72/QzCoAgICAgIPFmJR4//+hjNnzmBn\nZ8ewYcMwMzNjypQppKenc/36daN0Op2OV199FYVCgYODA8OGDSMmJqbh076nSgsICAgICDwkpKSk\nGG0oJJFI8Pb2Jjk52SjdJ598Qps2bQzHR48epXXr1g2WLxhUAQEBAYEHCpFI3Oi/v6OystJou1sA\nS0tLqqru/CGN+fPnk5yczIsvvtjgeTfPOn4BAQEBAYE7cZ92SrK0tKz3wZSqqioUivofH1Cr1Xzw\nwQdERkayZs0a7O9i32rBQxUQEBAQ+J8gICCA1NRUw7FGo+HGjRv4+/sbpVOpVEyZMoVr166xceNG\nwxa7DSEYVAEBAQGBB4r7tco3LCyMwsJCtm3bhkqlMmwd2+IvHw74+OOPKS0t5aeffsLR8e43sBB2\nSnrA+GPusmbRLS+vaTjRfaDHxO7Nohv1U+R/XdPazqLhRPcBOzfTv6XZFNj63r+ddP6O9HP39t3U\nxtJpyvBm0Q1pP6ZZdC+mHW04USMpuWb613X+xLZ1+7+Nj4+P54MPPiA5OZmgoCC++OILfHx8GDp0\nKJMnT6Zv376EhoYilUqNPojSpUsXVq5c+bdlC3OoAgICAgL/MwQHB7N58+Z64XW/nX3lypVGlS0Y\nVAEBAQGBB4rm/q5pYxEMqoCAgIDAg4VgUAUEBAQEBJqABt4nfVB5OM9aQEBAQEDgAUPwUAUEBAQE\nHihEDezJ+6AieKgCAgICAgJNgOChCggICAg8WAiLkgQEBAQEBO4d4bUZgb+loqIClUp1VxssCwgI\nCPxP85Cu8n2oDOo777zD1atX2bRpExKJxBC+ePFi9u3bx5YtWzAzM7tnnfHjxxMfH49UKkWn02Fj\nY8OECROYNGlSg3nfe+89/Pz8mDhxIr169WLBggWEhIQwfvx43n//fUJCQhp3UiJoPbwnVm6OaDUa\nErYepaqo1BDdckh37HzdUKv0WwjGrd+P1MKMNmN6IxKLEQFXtx+jqqDEZN32j/fBxtMJrVpD7K+H\nqaxTRrvRPXEIcEddrdc9t3I3gY+FYuPpDICFtZyaqmpOfLvJJFmtVsv85atJTL2BTCbl3Vcn4e3u\nZojfsHMPB06cAqD7I514+cnHUVar+HDh9xSXlCC3tOT9aVOwt7Uxub5Bo3ph5e6IVq3h8uYjVBXW\nXufA4RHY+bmjrlYBEPvTPtRK/f/2/u4EPzWA45+vM00T8B/UDbmrAzq1hqS9J6kuLquXps0Tj1KU\neIO86AQk5jJajeyD2EyKTq3l+s5j1FTc+RNUt0Or07J0/y5S83KQSSS8NmQU7va12wXuPh/J4bho\nRCIYFRpBj6D2lFVV8s3OTVSqqrG2kDP1sZHYKaxM09Vq+ebXX0nKyEQmlTJrwjN4ubgY4v9z6BCH\no84DENauHS8MG0p5VRUfrVxFVXU1MqmU9158AUdbW5N0AfwGdkPuYo9WoyVl70mqb9a/zq3HDaA4\nMZ38mATcw9pjG+AJgMTcDJnCkpjvN5pc30++/JqExETMZGbMm/sOPt5eRmmKiot57uVX2PzLT5ib\nm6NUVvPO+/MoKi5GLpfz6YdzcWhkZ7x9pyCmz5nMS09NNwrv3b87k994Ho1Gw7aNe9j86y7Mzc34\nfOFcHBztqaioZO6MzyguMvGZ8T/MQ9UNeOeddygoKGD16tWGsGvXrrFq1Srmz5/fJMb0Tz755BOi\no6OJiYnh559/5scff+TUqVMN5vv000+ZOHFivfCbN2/e0/k4Bfkjlkq4sHwbyfsjafFYN6N4a08n\nYtfuIWbVTmJW7URTrcJ/QAiZZy4Rs2onaUejafFomMm6bu0DkMgknPx2E1d2nqLdyAijeDtvZyKX\n7uD04q2cXrwVtVLFpa0nOL14K2d+2E6NsprYjX+YrHv0bBTVNTWs/OIjpk4Yz3dr1hviMnNy2X/s\nBCs++4hVX3xMZEwcialpbNl/gBY+3iz79EOG9OnJj5u2mqzr0lZ/nc/9sJXr+yJpPdR4r2FrT2cu\nrNrF+eU7OL98h8GYmtsq8OnZEZHE9CZl39oXsVTCpZ92c+PIeXz7hdZL4937ESQWtfe3c/tWVOYX\nc3n9XgqvpOAeFmyybuS1K9So1Xz13CSe6zOQ1Yf2GeJKKyvYF32WL5+dyEdPvcjqw/vQ6XRsOn2M\nIC9fvpgwkaEh4aw7etBk3ROxsahq1Pzw9iwmjRrFks1bDHFZ+QUcOHuOxbPe4oe3ZxF15QpJGRns\nO32aAE8PFr01k34hXdh4wHRd+9Y+iKQSLq/fQ/rR8/j061ovjVevR5BamBuOsyPjuLphH1c37KOm\nrILk3cdN1j185BjV1Sp+Xr2C6a9NYf633xnFnzx9hsmvTaegsNAQtnHzFlq1DGDtiiWMGDqY5avW\nmKwL8OLk8Xz45duYmxs/G6VSCbPen8rkCTN58YnXGfv0cByc7Hni2VEkXk3mhXHT2Ll5P5OmPdco\n3XtFJBY1+q85eagMqo2NDR9//DGLFy/mxo0baLVa3nvvPSZPnkxQUBAFBQW8/vrrhIWFMWjQIHbu\n3GnIGx0dzTPPPENYWBghISG8++67aLVa1Go1gYGBfPjhh3Tt2pV9+/bV0/X29qZDhw5cvXoVgLfe\neosffvjBEP/NN9/w3nvv3TYOYMaMGeTl5fHSSy+xf//+RtXdzteNokT9pt+lGXkGDxAAEcgdbQkc\n2YtHJo7E7ZFAAJL2nqEw4YY+iViMVq02WdchwIO8K/oybqblYutd60kgAoWzHR2e6EvE62PxDgsy\nyuvfqwP5V9Mpyy7EVGKvJNCtc0cAggNbcTUp2RDn6uTIt/+ag0QiRiQSodFoMDczM8rTrXMnzl00\nfYNtO393Cq7pr3PJjVxsvP5ynZ1sCRrbm65TRuER0gYAsVRC0OjeXN1m+sMWwMbbhZvJmQCUZ+Vj\n5W68qbxDoC86HZTcSgNQmV+MxEwGgMRchk6rNVn3csYNOge0BCDQ05vrObXl28gVfPt/ryKVSLhZ\nUY6ZVIpIJCK9II8uAa0ACPL04UpGmsm6cUlJhLZtC0C7AH8S0mrLcHGw56tpryER639btUaDmUxG\ngIcnlcpqACqUSqMRqrvF2suVkhR9HSuy8lG4GV9n+0BfdDqd0XU2xLX2Qa1UUZqaZbLuhdhYenTX\nd2Y7tg/m8pWrRvEisZgV33+HrU3taEp0zEUiuoUD0KN7N86cjTJZFyD9RiZvTp5bL9y/pS/pqZmU\nlZajrlETfe4iXUI70rlre04ePQvAiSORhPXo0ijd/1UeKoMK0KdPHx577DE+/fRTNmzYgEQiMXiE\nM2bMwMXFhePHj/PNN9/w+eefExcXh06nY/r06YwfP57IyEi2bNnCwYMHiYys/eKIpaUlJ0+epE+f\nPvU0ExISuHTpEt27N+7LKAsWLMDFxYVVq1YxaNCgRpUhMZcZvCEAnVZr6I1JZDIyzsRzedNhYtfu\nwTOsHQpXB2oqlei0WiydbGkxOJyUP86brCs1l6G+9SDTC+tqdc1kpBy7SPT6A5xZtgO/iPZY3zIG\nIokY3+7tSPojulH1raisQiGXG47FYjFqjUZ/TlIpdjY26HQ6vluzntb+fvh4uFNRVYVCoc8jt7Sg\n3MQhUH19zYyvc936ymSkn4oj/tdDXFi1G+9u7bByc6DNyJ6kHYuhurSiUXWVmJmhqa772+oMqxwt\nnexwateCjGMXjPKoq5TY+nvQYeJo3MOCyY9NNFm3sroahXntF3DEYjEarab2vMQSdp8/w9s/LaNP\nO31Hxd/VnbPX9Qbh7PWrVKtN/0pRRZUSK0tLI13DbyuRYGdlhU6n44fNm2nl7Y23qys2Vgqirlzh\n+Xkf8euBgwyNML0tis1kxtdZZ3ydHYMCyDx++/vVPbwDmf/f3pmHNXF1YfwNW5GlIAoihdq6Iriw\nigiCIEVRQASpaN0Vi7u4oWBF1Ip7qfq1FnepUkFEREErImhFERE3PkXFHZBNtgACSeb7I19SArjV\n3KSB+3seHp+ZO5l37sTMmXvuuedcvvnRmgBQXV0DtUZucTk5eXAavdwOshoATU1R9zW7uhrqavzP\nqKqooKqa/Y+0kxIvgsPhNtuvpqaKqqq//79WV9dC/XNVqKmpCPdXs2ugri6dSkVgsf75nxSRqTlU\nAYGBgRg5ciRu3ryJqKgoyMvLo6CgADdu3MDu3buhpKQEIyMjeHh44MSJE+jTpw8iIiLw5Zdfoqqq\nCqWlpdDQ0EBxcbHwnC4uLiIu4+DgYKxduxYcDge1tbWwt7dHly5dpNFdh3EcvAAAIABJREFUAAC3\nrgHynyn+vYPF4j94AXAbOHiZdhe8Bv6PtPxxHtQ6d0B14Wtofq2Hnm62uHcs+ePnTwFw6hog39hd\n1Fi3noPHF2+B+3/dkocvofFFR1QVlEK7pwFKc/NFjNPHoKrSDjW1fxtEHo+BQqNRSV19PX78z29Q\nUW6HpTOn8T/T7u/P1NS+gbqqCj4WTl09FBrdZ1aT+/z8rzvC+/z6UR7U9bSh+XVntOvAH10otvsM\nfcc74c6RD3dJcuvrIack+t3i/1UVtft2h5K6CozGD8dnGmrg8Xioq2Cjk0kv5F+9i6KbOVDRbo8e\nng64szfuo/qq8tlnqK3/+2WJYRjIy4mO/EaaD4SziQXWREXg9rPH8Bpoh91Jp7Hi9z2w6N4THdU/\nfh5TtZ0yaureCLd5TJPvtqEBmw5FQEVZGQvH+QAADp4+DR/nb+A+eDByX77EqvBw7FvZfOT1Lnj1\nDcJRPfD/SNL/3+eOfbpBSV0FhuP495nhclFfwUbFkzwod9AAt66+xfnWD+qvqgqqa2oa9ZcnUhas\nJdRUVYWfqa6pwedqHzdP/T7Y7Gqoqv39+1BVbYeqSjbY7BqoqvJfdlTVVFBV+c8M+aciq1G+MjdC\nBfiuXy8vL9jZ2QmNXEFBATgcDmxsbGBhYQELCwtERkaisLAQLBYLGRkZcHR0xKhRo7B37140NDSg\ncSlYbW1tEY2QkBBcv34dN2/eRFpaGng8HpYuXSrRfjam4tkrdOjJrxr/ub4OqgtfC9tUOmrAbOYo\ngMUCS04OGl10UZVfAs2v9dBj5CDcOpSAqvySf6Rb9rgAnYz491izSycR962ajiZsF3gJdbW6dkb5\nS/5LSsdeBii69/HuQAH9DHsi7QZ/RHA35yG6dTEQtjEMg2UbtqJ7ly5YPmsG5P8/b9nPsCfSMvmf\nuZJ1E/2NDD9at/zpK3Tsxb/PGl92AvvV3/dZVVsDlrNHC/ur+XVnVOYVIW1LpHBOtaG27qOMKQBU\nvSxC+278IBU1PW3UFpcJ255fuI67B0/hv0fOoPjOIxRcy0bF4zxw3tQJR1sNNW+g0NggfyC9v/gS\nmbn8kW1O3gt00e4kbHtZWozQ40fAMAwU5OShKC8PORYL/33xFM79LRA6YQY6a3ZAb/0vP1q3T9du\nuHo3GwCQ/fgJuurpCdsYhsHKX3ehm74+Fn83HvJy/O9WXUUFqsr8B72mujqqa980P/F7qHpZBI2u\n/PusqqeNmkb3+UVKJv4bcRr3I8+g5M4jFGT8V+ge1vhKDxWPX360ngDT/v1w6fIVAMCtO3fRo0kx\n65Y/0xeXLvNjNv5KuwIzU5N/rN8STx49w5df6eNzDXUoKCrA3Ko/bmVm4+b1Oxjs8H9X8xAr3Lj2\nz+uSfhIsuX/+J0VkcoQKAPLy8iLzKNra2lBTU0NGRobw7aaoqAgKCgrIy8vDmjVrEBMTg+7d+XNG\nrq6uIud71xtRhw4d4OPjIzSocnJy4HL/dqN8asDRh1B87wnad9fnG06wcP94CgwG9UXN60qU3n+G\nVzcfwvx7DzA8Hl5lPUBNURmM5wwFS14Ovb0cAAA1JeV4EPdx83wFd3LRsZcBbP5vOG8dSULXISao\nLi5HYfZTvMzIwWD/MeBxeXiZcV9ogNS0NfEy4/57zv52hlhZIuPWHfiuWAWGAVbO/R5HTp6Gvm4n\n8HgMsrLvob6hAVey+AZ09gQfeA3/Bmu2/4qZgauhqCCPNf7zPlq3KPsxOvTQ5xtOANnRF/Dl4H6o\nLalE8b2nKLjxAAPmeILh8VCQmYPqwrL3nPH9vM55Bo2v9GA8cSTAAnJP/QVdS2PUlVWi7FHLxbJf\nXLyBriNs0cnMECx5OTxOfH/AXFMG9uqNm09zsSwiHGCA+SNHI+7aZei214JVj974WkcXyyLCwQIL\nZl17oM+XX6OgrBQ/neLXkuyg9jnmjfD4aN3BJv1x/f49zNm8GQwDBEyaiKik8/hCWxs8hoebDx+i\nnsNBejbf6M70GIVpbm7Y/PthxF28CA6Xi6UTvvto3bIH/Pvce8IIsAA8TrgMXUsjvCmrQvlb7jMA\nKGt9joqnBR+tJ2DoEHtcSc/AhGkzwYDB2lVBOHg4El/q68PBfnCLn/l2jCeCVq/FpBl+UFRUwMa1\nIf9YvzEjRjmhnUo7xETGY8va/2BXxBbIybEQG5WAosISREXEYd22QBw4tgOcBg4C5q8Vi+5HI6Op\nB1lM42GaDLFjxw7k5eVhw4YNwn0+Pj6wtbXFzJkzUVpaiqlTp8LHxwcDBw7EuHHjcPLkSejp6SE6\nOhrBwcFYv349Ro0aBWNjY6SmpkJXl78sY9y4cfDx8cGoUaMAAGw2GwEBAaipqcH+/fuxc+dOJCcn\n48iRI8jLy8PkyZNhb2+PH3/8EUuWLEHXrl0xe/ZskWUzTk5O+OGHH2Bvb//Ofl1Y+Ru5m/YO2OyP\nnwsTB7a+/2xe+lO5fij9/QeJGXVN5fcfRABNXenMg2l06fD+gwjwIuPtxpEkJrPcpKJr0ddTKrq3\nn6USO3dN4fN//FmVTh/vNREXMunyfRthYWG4d+8eBg8eDC8vLzg6OmLSpEkwNDTEd999By8vL9jY\n2CA1NRXDhg1Dbm7uW8+1cuVKmJqawtTUFA4ODpCTkxMa7/Hjx6N9+/awtbVFQEAA3N3d33tto0aN\nwoIFC3Ds2Metx6RQKBSKbCCzI9TWCh2hSgY6QiUPHaFKhtY4Qq0t+uffYTsdg/cfRAiZnUOlUCgU\nSiuFph6kUCgUCuXTkdVlM9SgUigUCuXfhYyOUGXzqikUCoVC+ZdBDSqFQqFQKGKAunwpFAqF8q9C\n2lVj/inUoFIoFArl3wUNSqJQKBQK5dNhyWhQEjWoFAqFQvl3IaMjVJopiUKhUCgUMSCb42oKhUKh\nUP5lUINKoVAoFIoYoAaVQqFQKBQxQA0qhUKhUChigBpUCoVCoVDEADWoFAqFQqGIAWpQKRQKhUIR\nA9SgUigUCoUiBqhBbSW8fv1a2pdAoVD+xZw7d67F/cePH5fwlbReaKYkGaa2thYbN27EiRMnAAAn\nTpzAvHnz8J///Adffvml2PXy8/Pfe4yenp7YdQUwDIO0tDQUFxcL9zU0NODx48cICAggpgsA169f\nh4WFBcrKyhAeHg5NTU1MnToVSkpKRPQk3dfQ0FCsWLFC7Of9EG7duoX+/ftLRRsA8vLy8Ntvv+Hl\ny5fgcDgibYcOHRKr1o0bN957jJmZmdj0ysvL8fjxYwDA9OnTsW/fPjR+5LPZbCxYsABZWVli02zL\n0Fy+MsyPP/6I6upqxMbG4ttvv4W+vj5sbW0RHByM/fv3i13P0dERLBYLb3sHY7FYuHfvnth1BQQF\nBeHChQvQ0NBAQ0MD1NXVkZOTAxcXF2KaALBp0yacOXMGycnJCAoKApvNhqKiIp4+fYrQ0FAimpLu\na3R0tIhBdXR0RHJyMhGtpkydOlXE0GzZsgVLliyRiDYA+Pv7Q1tbGy4uLlBQIPtI9Pf3BwDweDyU\nlJTg888/h46ODkpLS1FWVobu3bsjPj5ebHpKSkoICQlBeXk53rx5g4ULFzZrnz59utj02jwMRWYZ\nNGgQU1NTwzAMw1haWjIMwzD19fWMhYWFNC+LGBYWFsyLFy+YrKwsZt68eQzDMExUVBTj5+dHVNfR\n0ZEpLi5mysvLGSMjIyY/P5+pqakR3nMSSLqvJiYmzfQlRVNtkve1JczNzRkOhyNRzZCQEOaXX35h\nuFyucN++ffuYJUuWENNctGgRsXNT+NARqgzTrl07lJaWQl9fX7ivtLQUn3/+OVFdRkquVwUFBejr\n60NTUxN3794FAHh6emLbtm3ENAG+W0xLSwunT59G165d0blzZ1RXV4NFsCKGpPvatC8k+/Y+bUbC\ns1BmZma4deuWWF2t7+PEiRPIyMiAnNzfYSwTJ06EpaWl2LUEo//vvvvurS5nSfa9NUMNqgwzYcIE\nzJgxA9OnTweHw8GZM2ewe/du+Pj4ENUNDAxESkqKxF2vAneYm5sb5OXlkZubCyUlJfB4PKK6VlZW\nWLx4MbKzs+Ht7Y28vDysWrUKtra2xDSl1dd/A5Iy5gIXN4/Hw7Rp02Brawt1dXWRY0i59PX19REX\nFwdPT0/hvqNHj+Lrr78Wu5bAzfw2WCwWUlJSxK7bFqEGVYaZMmUKOnTogBMnTqBz5874448/MG7c\nOIwZM4aoblJSEmJjY1FSUoJ9+/Zh+/btiI6OJj7ntnTpUvj7+8PExARz5syBp6cn5OTkMHnyZKK6\nGzZsQGRkJKytreHt7Y3c3Fz06dMHfn5+xDQl3de6ujpMmzZNuF1TUyOyDQD79u0jos3hcISBdQBQ\nX18vsg0AHh4eYtf94osvhP+amJiI/fzvIjg4GPPmzcNvv/0GHR0dFBQUgMPh4NdffxW7VmpqqtjP\nSWkZGuUr49y7dw/6+vpQV1dHVlYW2rVrB0NDQ6Ka1tbWuHLlCthsNtzd3ZGcnAwulwtbW1tcuXKF\nqHZjCgsLwWaz0a1bN6I6np6eiIiIgKqqKlGdd0G6r9HR0e89xtvbm4j2xIkT39nOYrHEHm3bmMTE\nxBa9K9HR0cT6fPv2bfTo0QOZmZkoKSmBtrY2LC0tiUSN7927F9OnT8euXbveegzJl8O2BB2hyjCR\nkZH4+eefERERAXV1dTx58gTbtm3DsmXL4O7uTkxXmu7I27dvIzY2FkVFRVi3bh1SU1PRtWtXom7C\nyspKVFRUSNygSrKvpAzHhxARESFxzbKyMjx69AgA3/Wrra3dbDnJ+vXrid0XX19fXLx4kei0gYAn\nT54AAHJzc4lrtXWoQZVhwsPDERkZKZx38fT0RP/+/TFz5kyiBvVt7shJkyYR0wSAuLg4bNmyBZ6e\nnjh58iS4XC5iYmJQUlKCZcuWEdPt1asXPDw80K9fP2hra4u0kZpjk0ZfIyMjoaCgAG9vbxQUFGDJ\nkiV48OAB7O3tsXbtWrRr146ILsAPpistLUXPnj0B8OcTBdp2dnZi11NWVkZoaCjKy8tRV1fX7J4q\nKSlh5syZYtcVYGlpiWPHjmHEiBFo3749MR0AWLduHQBg8+bNRHUo1OUr01hYWODy5cv47LPPhPvq\n6upgb2+Pq1evSuw6JOV6HTZsGLZv345evXrB0tISGRkZKCwshKenJy5fvkxMd+fOnW9tmzt3LhFN\nSfd19+7d+OOPP7BixQo4OTnB19cXXC4Xy5Ytw/79+6Guro6VK1eKXRcAMjMzMWPGDIwfPx5Lly5F\nWFgYoqKi4OHhgT///BMLFiyAm5sbEW0AWLZsGTZt2kTs/C1hb2+PwsJCsFgsyMvLA+BHN7NYLGFU\nt7j54Ycf3tq2du1aIpptDTpClWFsbGwQFBQEf39/6OjooKioCDt27ICNjQ1R3aYBIwLu3LlDJHhE\nQEVFhdBoC9yeWlpa4HK5xDSBtxvNiooKYpqS7uuxY8ewa9cu9OjRAxUVFbh8+TKOHj0KQ0NDLFq0\nCF5eXsQMalhYGAIDA+Ht7Q0Oh4PDhw8jJCQEI0aMgIuLC4KCgoga1E2bNuHp06coKSkRun05HA5y\nc3MxYcIEIprScHN36NBBZLu8vBxJSUlEf7NtDWpQZZiQkBCsWrUKw4YNA5fLhby8PIYPH45Vq1YR\n1Y2JiRHZFqQ3c3JyIvrjtLKywoYNG7B06VLhvl9++QUDBgwgpgkAGRkZ2Lp1a7MHbllZGW7fvk1E\nU9J9LSoqQo8ePQDw0yyqqqqiT58+AIBOnTqhurqaiC7AD6w7ePAgACA7Oxu1tbWwt7cHABgbG+PF\nixfEtAFg27Zt2Ldvn3COnGEYVFVVYeDAgcQMavv27aGuro6EhAThS5KWlhbRl+GmWZIAfkCYtFJO\ntkaoQZVhNDU1sX37dtTX16OiogIdOnQQWShOipbers+fP4+TJ08S1Q0ODsbSpUthbm4OLpcLc3Nz\nGBkZEU/ssHr1ajg4OEBVVRV3797F6NGjsXv3bqJzxpLuq7q6Ol6/fg0tLS1cvnwZVlZWwpFxbm4u\ntLS0iOg2JT09HUZGRkLjVlNTQyxfsoDo6GhERUWBzWYjKioKW7Zswc6dO4kY8tLSUvj6+sLOzg4L\nFy5EYGAgjI2NwTAM7ty5gyNHjqBv375i130b+vr6ePr0qcT0WjvUoMog4eHhmDlzplTm9t7G0KFD\niSeof/bsGcLDw/H69WsUFBRAW1sbnTt3JqoJ8IsCLF68GHl5ebhw4QKcnJxgbGyMKVOmEMuDKum+\nuri4ICAgADY2NoiNjUVYWBgA/ujxxx9/JJq0w9TUFJGRkXBxcUFsbCy8vLyEbQcOHCCexYfL5cLI\nyAjl5eW4c+cOAGDmzJlwdHQUu9a2bdtgYmIiHC0qKiri8OHDAPiu77179wrvvbhpumyGw+EgJSVF\nqoUJWhvUoMogeXl5Iv9KmoyMDJFtDoeDs2fPEqlw0xg/Pz9cunQJ2trazaJtSaKjo4Pq6mro6enh\n2bNn4PF40NXVFUm9KG4k3dfFixdjx44duHTpEgICAoQu1++++w5Dhw7F/PnziWkvX74cvr6+WLt2\nLSwsLITrUt3c3FBcXCw0OKTo0qWLsJpQbW0tCgsLoaioiDdv3ohdKzU19a3l0iZMmIBRo0aJXVNA\n02UzcnJycHBwwPjx44lptjVolK8Ms2/fPowdO1bi6yObvrnLycmhS5cu8Pf3F867kWD+/PmwsLDA\niBEj0LFjR2I6Tdm4cSMyMjIQHh6OVatWQV1dHcrKyrh16xaxWpLS6qvA7SuAw+FAQUEBT548IZIW\nTwCPx0NhYaHIKDwhIQHW1tbEl5WkpqZi8eLFiIuLQ2JiIg4cOAAFBQUMGjQI69evF6uWmZmZSD7d\nuLg4ESNqbm6OzMxMsWpSJAc1qDKMlZUVLl++TLzk1L8FW1tblJSUiCQ2ECw1IFk2jsfjIS4uDs7O\nzqirq0NYWBgqKysxb948YkuFpNXXpg98AHjz5g0GDRr0QbU8PwUHBwecOnVKKhmpampqoKysDDk5\nOWRlZaGyshJ2dnZiT6IxdOhQ/P777y267x8/foxZs2bh7NmzYtUEgCtXriAnJweDBg1Cly5dsHTp\nUly+fBkmJibYsGGDRD0+rRlqUGWYH374AVVVVXB2dkbHjh1FfvwkqlYIOHfuHJKTk1FcXAwtLS0M\nGTIELi4uOHLkCDp16gQnJycium9zcfN4PBgYGBDRBPiVdBQVFYXb+fn5RAupA5Lta15eHtzd3VFX\nVycckTbVtLa2xt69e8Wq2xR3d3eEhobC2NiYqM67uHv3Lq5evYr+/fsT+Q2tX78eeXl52L59u3D9\nKcC/xwsWLEC3bt1ajMb9FHbv3o39+/ejX79+yM7OhrGxMbhcLsaOHYsTJ05ATk4O27dvF6tmW4Ua\nVBnmbUETLBYL58+fF7seh8PBnDlzcOvWLTg4OEBHRwclJSVISUlBt27d8PLlSxw9elRib7vFxcWI\niorCsWPHcOHCBbGfn8Ph4IcffkB9fT22bt0KgO8StbW1xahRo7B27VqJeQdI97WoqAi1tbWYMGFC\nszlLJSUldOrUiXgVmMmTJyMzMxMGBgbNXhBJ5PJ9+vQpAgICkJOTAzs7O4wZMwYLFixA165d8ejR\nI6xcuVLsqQfZbLawGpSrqys6deqE4uJiJCYmgsfj4ejRo1BWVhar5pAhQxAREQEDAwPk5OTAw8MD\nly9fhpaWFthsNoYOHYr09HSxarZV2oavsJVCurpLU/bu3Qs2m41z586JlLlis9lwcXGBg4ODRIzp\nlStXEBkZieTkZPTp0we+vr5EdHbs2IGnT59i48aNwn1aWlpITEyEv78/du3aRTyaWlJ91dHRAQBc\nunQJPB4PpaWlIrmZi4qK0KlTJyLaAjw8PCSaZGDVqlWwtrZGSEgIjh8/jrlz5yIsLAyOjo5IT09H\ncHCw2A2qmpoaYmJiEBERgQsXLgi9PMOHD8ekSZPEbkwBfpIQgVejV69eUFZWFs6Tq6mpgcPhiF2z\nzSLJauYU8VBZWcksWrSIcXV1ZdauXctUV1dLRHf48OHMw4cPm+1PTk5mhg4dyjg7OxPTLi8vZ/bu\n3cs4OzszDg4OTL9+/Zg7d+4Q02MYhnF0dGRevnzZYtuDBw8YJycnIrrS6KuAI0eOMH379mUMDQ2Z\nXr16Cf8MDQ0loi9JTE1NGS6XyzAMw9TV1TFGRkYi7WZmZsS0Hz16ROzcTTE1NRXZtrS0fGc75Z9D\nR6gyyJo1a1BSUgIfHx/Ex8djw4YNWLNmDXHdwsJCdO/evdl+XV1dbN68uVn9THGxbNkypKamYvDg\nwQgODsbAgQNhZ2dHfA1qeXm5sGZmU3r06IHS0lKxa0qrrwLCwsKwfft22NjYSCRJCAAYGhq+151M\nKhBL0EclJaVmwVAMwdkwHx8ffPHFF3BzcxO6fknB4XBw6tQpYX8aGhoQHx8vbCedurMtQQ2qDHLx\n4kUkJydDVVUVQ4YMIZYerSmampp48eJFs6CY3r174/nz59DU1CSie+7cOTg6OsLV1RUDBw6U2INe\nV1cXubm5LUbyPnnyhMhyDmn1VYCKigoGDhwoEoRFGhLz/f920tLScPHiRZw5cwa7du1Cz5494erq\nChcXF7H/joyNjXHkyBHhdu/evREZGSnSThEPNChJBmm6Vk1QjYQ0GzduxMuXLxEWFiYSocjlcrFw\n4ULo6+sTyZbEZrNx+vRpxMTEID8/Hx4eHoiOjkZiYiLRlHh79uxBSkoKdu7cKfKQKysrw/z582Fq\naopFixaJVVNafRWQmJiI06dPw9vbW2SeHACxjEXr1q0jlnj/XfTu3VskWrtx9DbDMHj16hX++9//\nEr+O+vp6JCYm4qeffkJJSQmxajN//vkn7O3tRapTUcQLNagySNO1ggMGDMC1a9eI61ZXV2P8+PHg\ncDhwdnZGp06dUFhYiLNnz0JZWRm///47VFRUiF7Dw4cPcfz4ccTHx6N9+/bCiiRfffWV2LV4PB4W\nLlyIS5cuwczMDFpaWnj9+jVu3LiBQYMGISwsjOhITpJ9FRAaGoqIiAhoaWmJvDSxWCykpKQQ0Wz6\n/3nIkCHEtBrzIb8ZkoUXqqqqcO7cOSQmJuLGjRuwsbGBu7s7sWVnbW3dujSgBlUGMTU1RUJCgnBO\nxN3dHfHx8SJzPqTWSdbX1+PQoUNISUlBSUkJOnbsCAcHB0ycOJF4EvPGcLlcXLhwATExMbh06RKx\nt3qAn7A9LS0NZWVl6NixI2xsbGBubk5MrymCvh47dgx//fUX0b6amZnh2LFj6Nq1KzGNppiamiIr\nK0u4LSmPizSZOXMmrl27BjMzM7i5ueGbb76BmpoaUc2QkBCoqqpi+PDhzaLxSUdwtxWoQZVBBEEc\nb/vqSGfTkRYREREYOXJkM9dnaWlps1qPJHj9+jXy8vJgbGyMhoYGibjOmmqy2WyifR02bBiioqKg\noaFBTKMp0vK4vCsYiiGclerQoUMSTytpaGjY4v7W+ryQBtSgUj6YiRMnvjcak8QCfAF+fn5IT0+H\nmZkZXF1dJfJWD/CNWkBAANLS0qCkpISYmBhMmDABv/32G7FSW9LQBPiVjM6cOYPRo0dDQ0ND5Psm\nVeRbWgb1Q4pLvC3KWxxcuXIFZ86cQXFxMfT09DBq1Cii3+27onkbu/cp/xxqUGWcmpoapKamorCw\nEGPHjsWjR4+I/ShjY2Pfe8zo0aOJaAsQzDudOXNGOJcpcJmRYv78+dDT08OCBQtgZ2eHjIwMHDx4\nEAkJCTh69Gir0QTw1sojLBaLWNUXIyMjWFhYCLczMzObudRJvKh9iFuZVArPAwcOYM+ePfDy8oKO\njg7y8/MRGxuLZcuWEU1ucfXqVZSUlAi9WxwOB7m5uViyZAkxzbYENagyTHZ2Nr7//nvo6+sjJycH\nJ0+ehLu7O4KDgyWacUYaNI6MLC0tFdaxJIGVlRUuXboEJSUl4eiJx+NhwIABuH79eqvRlBbSelF7\nX71TUik8AcDa2hqHDx8Wmau+f/8+Zs+eTSwDWlBQEJKSkqChoQEOhwNVVVU8fPgQw4YNw88//0xE\ns61Bw71kmDVr1mDlypUYPnw4LC0tYWBggD179mDFihVEDKo055wAvhG9dOkSEhMTkZqaCkNDQ/j5\n+WH48OHENAF+usHHjx+LzEE9efKE6PyXNDQB/rKdyMhI+Pr64v79+wgODoampiZWrVpFzP0pMJaJ\niYktFjKPjo4moivp1J2NUVFRafZd6unpEanBKuDcuXOIiYlBSUkJ9u/fj+3bt+OPP/7ApUuXiGm2\nNahBlWEeP34MZ2dnABAaOnNzc7x+/ZqInrQX4FtbW8PAwAAjR47E4sWLJZY9aPbs2Zg+fTq8vb3R\n0NCAvXv3IjIyEnPmzGlVmgAQGBiI2tpazJgxA4GBgTAzM4OKigqCgoJw4MABseuVlZXh0aNHAIAV\nK1ZAW1tbJNiOzWZj/fr1Ys+p25idO3e+tU3cuZoFc8XOzs7w8/PD3LlzhcXqf/nlF6L9lJOTg4GB\nAdq3b4/s7GwAgLe3N600I0aoQZVhunfvjsTERIwcOVK4LyUlpcX0gOKg8Qjl6dOnLc7FkMzadPTo\nUWJ9exdubm7Q09NDXFwcLC0tkZubi7Vr18La2rpVaQL8B35ycjLy8vLw4MEDHDx4EKqqqiJznOJE\nWVkZoaGhKC8vR11dHZYtWybSrqSkhJkzZxLRFtA0OKmsrAzp6ekihb/Fhb+/v8j2ihUrRLafPXvW\n7Bhx0b17dyQkJGDEiBEA+C/kSkpKNPWgGKEGVYZZuXIlfH19cfjwYdTU1OD777/H3bt38euvvxLV\n3bp1K/bv3y/MfcowDKqqqjBw4EAiBnX16tVYvXr1O+txhoaGil23Mebm5hJdeyotTYDvWk9KSkL/\n/v2hrq6O/Px8Ygk72rVrh+PHjwPg5zHetGkTEZ130dL/nVu3biFii8hFAAAS5ElEQVQsLEzsWqmp\nqe9sr66uFrumgMWLF8Pf3x99+/bF7Nmz4enpCTk5OYmlLm0LUIMqwxgbG+PPP/9EamoqHB0d0bFj\nR2zcuJFYTl0Bx44dQ1RUFNhsNqKiorBlyxbs3LkTL168IKIncO2SXMLwLhwdHVucO1ZUVISmpiYG\nDRoEPz8/sSa2kIYmAHh6esLLywslJSXYsGED7t+/j1mzZglreJJk06ZNuH79OiwsLFBWVobw8HC0\nb98eU6ZMkWjSEADo06cP0UC3pty7dw+RkZE4deqUyBIicWJqairMQGVgYABra2tUVVWhV69eRPTa\nIjTKVwbJz89/7zGkMiUBf68TLC8vx9ixY3H27FnU19fD0dERf/31FzHdluByuXj+/Dm+/vprYhrh\n4eFITk7G3Llzoaenh1evXuHXX39Fnz59MGjQIBw6dAhffPEFVq9eLdOaAm7evAk1NTV0794dRUVF\nuH//Puzs7MSu05RNmzbhzJkzSE5OxqxZs1BdXQ1FRUXo6OgQ9UCcOHFCZJvD4SApKQlVVVXElgoB\nfE/A6dOnERkZiQcPHsDe3h6jRo16b/Txp5CdnY3Y2FgUFRUhJCQEJ0+exOTJk4nptTXoCFUGEYxe\npJUpqUuXLsKRRG1tLQoLC6GoqEg0QvFtlJSUYMSIEUT7Gx0djaioKGF1ma5du8LIyAhjxoxBQEAA\nTE1N4eTkJFbjJg1NASYmJgD4o6b09HT069dP7BotcfbsWURFRaGiogIXL15EUlISNDU1YW9vT1Q3\nJiZGZFtOTg5dunRBUFAQEb0nT54gMjIScXFx+Prrr/Hw4UPEx8c3q+Ikbk6dOoUNGzZg1KhRuHz5\nMjgcDv744w+UlJRg8eLFRLXbCtSgyiD379+Xqv7cuXPh5+eHuLg4TJo0CV5eXlBQUBBGHEsa0k6W\nyspK1NfXi+x78+YNKioqAAAKCgpivwZJaz5//hzLly9HTk4O7O3t4eXlhblz56JLly7Ytm0bgoOD\n4eXlJTa9lmCz2dDS0sLp06fRtWtXdO7cGdXV1e/NzvWpREREED1/YyZNmoSnT5/C3d0dR44cQbdu\n3WBra0u8qATAj2bes2cPDA0NERUVBW1tbezbtw/e3t7UoIoJalBlGIZhkJaWhuLiYuG+hoYGPH78\nmEgZNQE9evTAxYsXoaysjBkzZsDc3ByVlZUScQu2BOkHro+PD6ZNm4Zp06ZBV1cXBQUFOHjwIMaM\nGYPS0lIEBgZi8ODBMq25atUqmJubIzAwECdOnMCsWbOwbds2ODk54cqVK1izZg1xg2plZYXFixcj\nOzsb3t7eyMvLw6pVq2Bra0tEr2mKwwsXLsDBwYGIloCnT5+iR48e0NfXl3hC+vLycmGUvOA307Fj\nR3A4HIleR2uGGlQZJjAwECkpKdDQ0EBDQwPU1dWRk5PT4uJ4ceLl5YWkpCRh8WtTU1OietLG398f\n+vr6OHnyJAoLC6Grq4upU6di9OjRyMnJQf/+/TF16lSZ1rx9+zb27t0LeXl59OzZE5GRkRg6dCgA\n/vrfoqIisWm9jQ0bNiAyMhLW1tbw9vZGbm4u+vTpAz8/PyJ6DQ0NItsBAQHEcwinpKTg0qVLiImJ\nwZYtWzBkyBC8efOGuJcF4L9AbN68WWQ0+ttvvxFbEtUWoUFJMoylpSViY2NRUlKCffv2Yfv27YiO\njkZycjLRpTMTJkzA1KlThQ9c0rwrKX99fT1u3bollWoZFRUVEq3KQlLzfQnqm7a3Bpr2SdJl48rK\nynDy5EkcP34cRUVFcHZ2xogRI2BlZSVWnYaGBigqKqK0tBSLFi1CVlaW8AW8W7duCAsLo+XbxAQd\nocowCgoK0NfXh6amprBGpqenJ7Zt20ZUl81mY86cOVBWVoaWlpaIsSORTcnT0/Od7WPHjhW7ZmMy\nMjKwdevWZoksysrKcPv27VajKS2aJjdoCdLrjAHyUwdNad++PSZPnozJkyfj7t27OHbsGObPn4/0\n9HSx6nh6emLLli3o1asXDh48iFevXqGgoAAdO3YkHgjV1qAGVYbp3r074uPj4ebmBnl5eeTm5kJJ\nSQk8Ho+obmBgINHzN0WQ63XOnDnYtGmTMKGEpFi9ejUcHBygqqqKu3fvYvTo0di9ezcmTZrUajRr\na2sxbNgw4TabzRZuMwxDNIK7Z8+e2Lx5M7799luJ1gdlGAYFBQXCFxYejyeyDZBdflZfXw8lJSUw\nDIOysjJ4enoS+W0NGzYM48aNg5+fH3x9faGrqwtdXV2x61Coy1emuX37Nvz9/XHgwAFkZmYiODgY\ncnJymDRpErH0ZQIEZeNevXoFHx8fomXjBAwePBgJCQlQV1cnqtMUU1NT3LhxA3l5eVi0aBGioqJQ\nUFCAKVOm4OzZs61C88qVK+89hmTaw/DwcNy4cQO7du0iptEUQbEHaSw/S0hIQEhICNLT07FlyxYc\nP34cLBYLvr6+mDJlitj1Hjx4gJUrV0JeXh6bNm2iI1NC0BGqjFJaWgplZWWhizUtLQ2urq4wNjZ+\na01LcdG0bJyTkxMmTZpEvGzcgAED4OnpiUGDBkFbW1ukTdxJzBujo6OD6upq6Onp4dmzZ+DxeMKE\n5q1Fk3SO4PcxY8YMBAQEoKSkRGKjVGkuP/v111/x888/o76+HpGRkdi/fz86dOiAcePGETGoPXv2\nxNGjRxEZGYlvv/0WdnZ2wqBCQDIu9bYANagySGZmJmbMmIHx48dj6dKlCAsLQ1RUFDw8PLB//36o\nq6vDzc2NmL6ky8YJUFJSgoWFBerr65slNCeJo6MjpkyZgvDwcFhaWiIoKAjKysr46quvWo2msbHx\ne0vzCebpSSAnJ4fNmzcTO/+/jcLCQgwcOBB//fUXVFRU0K9fP/B4PKK5fF++fImLFy9CUVERenp6\nkJeXJ6bVVqEuXxlk4sSJcHd3h7e3NzgcDqytrRESEoIRI0bgzp07CAoKwsmTJ4npW1paIj09HXJy\nciLRoBYWFsSKX589exYsFgvOzs4YPny4MOmBtrY2Dh48CGVlZSK6AH9uLS4uDs7Ozqirq0NYWBgq\nKysxb948dOvWrVVoPn/+/L3HfPnll2LXbat8++238PDwwPnz56Gvr48VK1Zgz549SEtLw5EjR8Sq\nxTAM9u3bhx07dsDFxQWBgYESnzZpMzAUmcPc3JzhcrkMwzDMzZs3GWNjY4bNZjMMwzBcLpcxMTEh\nqu/j48OcOnWKYRiGsbS0ZBiGYS5cuMCMHTuWiN7JkycZOzs7Ji0tjWEYhjEzM2OuXbvGXL16lfHw\n8GDCw8OJ6AqYPXu28P5KCmloCnj+/Dlz48YNJjMzk8nMzGTS09OZI0eOSOVaWis5OTnMtGnTmAUL\nFjDl5eXMtWvXGG9vb+bRo0di1xo9ejRjZ2fHpKSkiP3cFFGoy1fGSU9Ph5GRkTDytaamhnhlDkmX\njTtw4AA2bdokXJ8nLy8PS0tLAPySXxs2bICvry8RbYAf/EU6cvrfoAkAP/30E/bu3QsVFRUwDAMe\nj4eamhpYWlpi3LhxEr+e1krPnj1FyhFaWloiKiqKiFavXr3oqFRCUIMqg5iamiIyMhIuLi6IjY0V\nSQl34MABmJmZEdWXdNm4J0+eiPSpcci/lZUVsbJxAqQRDCWtAKyoqChERkaipqYGx44dw+bNm/Hz\nzz/j1atXxDTbIllZWdi+fXuzZToAxB7FTQOOJAc1qDLI8uXL4evri3Xr1sHc3BwTJ04EALi5uaG4\nuJhoySkAmDdvHtzc3PDNN99IpE6loqKiSMBM4/nh+vp6fPbZZ0T1pREMJa0ALC6Xi759+6KsrExY\nD9TPz09iWbHaCgEBAfjmm28wY8YMkWhbimxDDaoM0q1bNyQlJaG8vBxaWlrC/bNmzYK1tbWw5Bcp\nTE1NsXv3bgQFBcHJyQkjR47EoEGDiD0YevfujYSEBLi7uzdrO3PmDPr3709EV8Db3vBJumSloQnw\nA4+ysrJgamqK6upqFBUVSa00X2umvLwcixYtopG2rQwa5Uv5x7x8+RJnzpzB2bNnUVBQgOHDh2Pl\nypVi17l48SKWLFmCoKAgjBgxAoqKiuByuTh79ixCQkLwn//8h2iC74cPH2LXrl3N0gA+e/YMly9f\nbjWaAL/iytKlSxEXF4fTp0/j999/h4KCAqysrKjrUIxs3boVampqmDJlCnEPC0VyUINK+SRu3LiB\nP//8EwkJCdDW1m5WrFlcnDx5EqGhoaipqYGmpibKy8uhrKyMlStXEl1zCwBjxozBV199hc8//xzP\nnj2DnZ0dDh8+DA8PD8yePbvVaApgs9lQUVGBnJwcMjIyUFVVBQcHB4nnum3NxMfHY/ny5eDxeMJR\nKiOB9b4UslCDSvlobt68iYSEBJw9exbKyspwdXXFyJEj0bVrV6K6HA4HWVlZKC4uhpaWFszMzCQy\nh9u/f39kZGQgLy8PK1euxOHDh/Ho0SP4+/sjPj6+1WgC/NJ8Lb0UOTs7488//ySm29awsbHBggUL\nYGlp2cztS9f7yi50DpXy0cydOxf9+/fH1q1boaurC319fYnoKigoCJfLSBJBKjwDAwPk5uYC4Bcm\nyM/PbxWaeXl5+OGHHwAAOTk5mDZtmkg7m82WSL3OtoanpycUFOgjuDVBv03KR3H9+nW0b98e58+f\nR3JyMgD+g37VqlVSMXaSwMrKCgsWLMDGjRvRu3dvbN++HcrKytDR0WkVml988QXGjRuH8vJyXL9+\nvVmBeiUlJQwcOFDsum2ZefPmYfXq1Zg0aVKz+ra0NqnsQl2+lA8mOzsbkyZNgq+vL9zc3KCtrY38\n/HzExcXh4MGDOHToEPr06SPtyxQ7tbW12Lt3LyZOnIiKigqEhISgqqoKy5YtIxYMJQ1NgF+VpGfP\nngD4kajq6uo0EpUAhoaGLe4nWeGGQh5qUCkfzOzZs2FjY4PvvvuuWdvBgwdx5coViZbfkgRNcwg3\nNDSAYRiiOYSloSmgtrYWoaGhiI+Px5s3b6CoqIhhw4Zh9erVEq9D25rhcrlvbaMvMLILXVFM+WCy\nsrIwZsyYFtu8vLyQlZUl4SsiS3x8PNavXy9M2VZcXIzQ0FCEhoaivr4eERERrUKzMRs3bkRBQQGi\no6ORmZmJ6OholJeX0yUzYoTNZuPhw4fgcrmQl5cX/lVWViIgIEDal0f5FCSdPJgiu5iYmDC1tbUt\nttXU1DAWFhYSviKyeHp6MlevXhVuCwoBMAzDpKWlMe7u7q1CszE2NjZMZWWlyL7y8nJmwIABRHXb\nCklJSYyJiQnTq1cvxs7Ojnny5AnDMAxz+vRpxsrKinF1dZXuBVI+CTpCpXwwvXv3RlJSUott58+f\nf+u8kKwijRzC0s5bzGKx0NDQILKPw+FIZHlSW+Cnn37CrFmzcPXqVYwcORI7duzAjh07sGLFCkyd\nOhWxsbHSvkTKJ0CjfCkfzPfff4/ly5dDRUUFQ4YMgZycHLhcLhISErBu3Tps27ZN2pcoVqSRQ1ja\neYtdXV0xd+5cLFy4EJ07d0Z+fj5+/vlnjBw5kqhuWyEvLw/Tp0+HvLw8FixYgIEDB0JPTw8xMTHo\n3r27tC+P8olQg0r5YOzt7bFs2TKsWLECdXV10NDQQGlpKVRVVREUFAQbGxtpX6JYkUYOYWnlLT51\n6hRcXV3h7++Pbdu2YdGiRSgrK0OnTp3g5uaGOXPmENFta7BYLGHQ0WeffQYej4ddu3bBwMBAyldG\nEQvS9jlTZI/a2lomLS2NiY+PZ9LS0pi6ujppXxIRUlNTGUtLS+bEiRNMfX09wzAMw+FwmNOnTzMD\nBgxgMjIyWoUmwzCMqakpkfNSRGl6nxvPkVNkH7pshkJ5B9LIISwNTVNT01YXpf1vxMTEBPv37xdm\nnvL19cWePXtEMlGRrmdMIQc1qBTKe5BGDmFJa/br1w9r1qx55zEeHh7E9NsKdnZ27ywywGKxkJKS\nIrkLoogValApFAqMjIxgbm7+1nYWi4VDhw5J8IooFNmDBiVRKBQoKysTTxpB+Rta1ad1Qg0qhUKh\n1WQkAK3q0/qhBpVCoRBNuE/hQ6v6tH7oHCqFQqFIGFrVp3VCDSqFQqFIGFrVp3VCc/lSKBSKhKFV\nfVondIRKoVAoEsbW1haJiYnCMn0AUFFRAWdnZ6Snp0vxyiifAh2hUigUioShVX1aJ9SgUigUioQR\nVPW5du0aXrx4gfT0dMybN49W9ZFxqMuXQqFQJISgqk99fT22bduGU6dONavqQ0epsgs1qBQKhSIh\nzMzMcOPGDWlfBoUQ1OVLoVAoEoKOX1o3NFMShUKhSAgul4sTJ0688xha1Ud2oQaVQqFQJASHw2kx\nKb4AFotFDaoMQw0qhUKhSAha1ad1Q+dQKRQKRULQOdTWDTWoFAqFIiFoVZ/WDV02Q6FQKBSKGKAj\nVAqFQqFQxAA1qBQKhUKhiAFqUCkUCoVCEQPUoFIoFAqFIgb+B8+yV7wYlJpqAAAAAElFTkSuQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1215a1e50>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"#df.drop(['GarageArea', '1stFlrSF'], axis=1, inplace=True)\n", | |
"corrmat = df.corr()\n", | |
"k = 10 #number of variables for heatmap\n", | |
"cols = corrmat.nlargest(k, 'SalePrice')['SalePrice'].index\n", | |
"cm = np.corrcoef(df[cols].values.T)\n", | |
"sns.set(font_scale=1.25)\n", | |
"hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f', annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.values)\n", | |
"# plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [], | |
"source": [ | |
"print cols.tolist()\n", | |
"sns.set()\n", | |
"sns.pairplot(df[cols.tolist()], size = 2.5)\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 86, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [], | |
"source": [ | |
"# Generate train/test data splitdf\n", | |
"X_train, X_test, y_train, y_test = train_test_split(\n", | |
" df.ix[:, train.columns != 'SalePrice'],\n", | |
" df.ix[:, 'SalePrice'],\n", | |
" test_size=0.33,\n", | |
" random_state=42\n", | |
")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [], | |
"source": [] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 47, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [], | |
"source": [ | |
"numerical_columns = ['MSSubClass', 'LotArea', 'OverallQual', 'OverallCond', 'YearBuilt', 'YearRemodAdd', 'BsmtFinSF1', 'BsmtFinSF2', 'BsmtUnfSF', 'TotalBsmtSF', '1stFlrSF', '2ndFlrSF', 'LowQualFinSF', 'GrLivArea', 'BsmtFullBath', 'BsmtHalfBath', 'FullBath', 'HalfBath', 'BedroomAbvGr', 'KitchenAbvGr', 'TotRmsAbvGrd', 'Fireplaces', 'GarageCars', 'GarageArea', 'WoodDeckSF', 'OpenPorchSF', 'EnclosedPorch', '3SsnPorch', 'ScreenPorch', 'PoolArea', 'MiscVal', 'MoSold', 'YrSold']" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 88, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"Index([u'Id', u'MSSubClass', u'MSZoning', u'LotFrontage', u'LotArea',\n", | |
" u'Street', u'Alley', u'LotShape', u'LandContour', u'Utilities',\n", | |
" u'LotConfig', u'LandSlope', u'Neighborhood', u'Condition1',\n", | |
" u'Condition2', u'BldgType', u'HouseStyle', u'OverallQual',\n", | |
" u'OverallCond', u'YearBuilt', u'YearRemodAdd', u'RoofStyle',\n", | |
" u'RoofMatl', u'Exterior1st', u'Exterior2nd', u'MasVnrType',\n", | |
" u'MasVnrArea', u'ExterQual', u'ExterCond', u'Foundation', u'BsmtQual',\n", | |
" u'BsmtCond', u'BsmtExposure', u'BsmtFinType1', u'BsmtFinSF1',\n", | |
" u'BsmtFinType2', u'BsmtFinSF2', u'BsmtUnfSF', u'TotalBsmtSF',\n", | |
" u'Heating', u'HeatingQC', u'CentralAir', u'Electrical', u'1stFlrSF',\n", | |
" u'2ndFlrSF', u'LowQualFinSF', u'GrLivArea', u'BsmtFullBath',\n", | |
" u'BsmtHalfBath', u'FullBath', u'HalfBath', u'BedroomAbvGr',\n", | |
" u'KitchenAbvGr', u'KitchenQual', u'TotRmsAbvGrd', u'Functional',\n", | |
" u'Fireplaces', u'FireplaceQu', u'GarageType', u'GarageYrBlt',\n", | |
" u'GarageFinish', u'GarageCars', u'GarageArea', u'GarageQual',\n", | |
" u'GarageCond', u'PavedDrive', u'WoodDeckSF', u'OpenPorchSF',\n", | |
" u'EnclosedPorch', u'3SsnPorch', u'ScreenPorch', u'PoolArea', u'PoolQC',\n", | |
" u'Fence', u'MiscFeature', u'MiscVal', u'MoSold', u'YrSold', u'SaleType',\n", | |
" u'SaleCondition'],\n", | |
" dtype='object')" | |
] | |
}, | |
"execution_count": 88, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"X_train.columns" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 51, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)" | |
] | |
}, | |
"execution_count": 51, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"clf = LinearRegression()\n", | |
"clf.fit(X_train[numerical_columns], y_train)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 56, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"0.675444109832\n", | |
"24255.8450004\n", | |
"1610401299.55\n", | |
"17892.062239\n", | |
"0.673145273089\n" | |
] | |
} | |
], | |
"source": [ | |
"import sklearn.metrics as metrics\n", | |
"\n", | |
"y_pred = clf.predict(X_test[numerical_columns])\n", | |
"\n", | |
"print metrics.explained_variance_score(y_pred, y_test)\n", | |
"print metrics.mean_absolute_error(y_pred, y_test)\n", | |
"print metrics.mean_squared_error(y_pred, y_test)\n", | |
"print metrics.median_absolute_error(y_pred, y_test)\n", | |
"print metrics.r2_score(y_pred, y_test)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 71, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [], | |
"source": [ | |
"numerical_columns_2 = ['MSSubClass', 'OverallQual', 'OverallCond', 'YearBuilt', 'YearRemodAdd', 'BsmtFinSF1', 'BsmtFinSF2', 'TotalBsmtSF', '1stFlrSF', '2ndFlrSF', 'LowQualFinSF', 'GrLivArea', 'BsmtFullBath', 'BsmtHalfBath', 'FullBath', 'HalfBath', 'BedroomAbvGr', 'KitchenAbvGr', 'TotRmsAbvGrd', 'Fireplaces', 'GarageCars', 'GarageArea', 'WoodDeckSF', 'OpenPorchSF', 'EnclosedPorch', '3SsnPorch', 'ScreenPorch', 'PoolArea', 'MiscVal', 'MoSold', 'YrSold']" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 78, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"0.689194220762\n", | |
"24349.4401112\n", | |
"1578443672.26\n", | |
"18038.6697128\n", | |
"0.687279195986\n" | |
] | |
} | |
], | |
"source": [ | |
"clf = LinearRegression()\n", | |
"clf.fit(X_train[numerical_columns_2], y_train)\n", | |
"\n", | |
"import sklearn.metrics as metrics\n", | |
"\n", | |
"y_pred = clf.predict(X_test[numerical_columns_2])\n", | |
"\n", | |
"print metrics.explained_variance_score(y_pred, y_test)\n", | |
"print metrics.mean_absolute_error(y_pred, y_test)\n", | |
"print metrics.mean_squared_error(y_pred, y_test)\n", | |
"print metrics.median_absolute_error(y_pred, y_test)\n", | |
"print metrics.r2_score(y_pred, y_test)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 66, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"[(-184.74936276219992, 'MSSubClass'),\n", | |
" (19468.471869886129, 'OverallQual'),\n", | |
" (2571.5639183634912, 'OverallCond'),\n", | |
" (266.30123989091823, 'YearBuilt'),\n", | |
" (193.87917361150403, 'YearRemodAdd'),\n", | |
" (8.5007780431122963, 'BsmtFinSF1'),\n", | |
" (-0.57660145164533461, 'BsmtFinSF2'),\n", | |
" (5.793107854324095, 'TotalBsmtSF'),\n", | |
" (3565134237212291.5, '1stFlrSF'),\n", | |
" (3565134237212287.0, '2ndFlrSF'),\n", | |
" (3565134237212308.0, 'LowQualFinSF'),\n", | |
" (-3565134237212252.0, 'GrLivArea'),\n", | |
" (13011.376602428587, 'BsmtFullBath'),\n", | |
" (1966.1139145676125, 'BsmtHalfBath'),\n", | |
" (6179.5323986318517, 'FullBath'),\n", | |
" (530.83511733883188, 'HalfBath'),\n", | |
" (-9599.1204237681395, 'BedroomAbvGr'),\n", | |
" (-12202.70517494347, 'KitchenAbvGr'),\n", | |
" (6609.3841663876701, 'TotRmsAbvGrd'),\n", | |
" (5962.9342705165473, 'Fireplaces'),\n", | |
" (12779.702043086903, 'GarageCars'),\n", | |
" (3.2360033061806455, 'GarageArea'),\n", | |
" (31.582481405207311, 'WoodDeckSF'),\n", | |
" (-12.182620560486711, 'OpenPorchSF'),\n", | |
" (7.9135275721816285, 'EnclosedPorch'),\n", | |
" (51.602973991847307, '3SsnPorch'),\n", | |
" (87.466791114242085, 'ScreenPorch'),\n", | |
" (-162.70375081971105, 'PoolArea'),\n", | |
" (-152.23987523774701, 'MoSold'),\n", | |
" (-177.90516736429154, 'YrSold')]" | |
] | |
}, | |
"execution_count": 66, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"zip(clf.coef_, numerical_columns_2)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 135, | |
"metadata": { | |
"collapsed": false, | |
"deletable": true, | |
"editable": true | |
}, | |
"outputs": [], | |
"source": [ | |
"x1 = np.arange(10)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 144, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"x2 = [ 0, 2, 2, 6, 9, 15, 12, 14, 16, 18]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 145, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"array([[ 1. , 0.96334736],\n", | |
" [ 0.96334736, 1. ]])" | |
] | |
}, | |
"execution_count": 145, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"np.corrcoef(x1, x2)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 2", | |
"language": "python", | |
"name": "python2" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 2 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython2", | |
"version": "2.7.13" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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