{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Iris Plants Classification\n", "\n", "### Description\n", "\n", "\n", "#### Table of Contents\n", "* [Problem Definition](#defineproblem)\n", "* [Exploratory Data Analysis](#eda)\n", "* [Data Preparation](#dataprep)\n", "* [Algorithm Evaluation](#algoselect)\n", "* [Model Training](#modeling)\n", "* [Deployment Preparation](#deployprep)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Problem Definition\n", "[Table of Contents](#toc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Description\n", "[Table of Contents](#toc) | [Section](#defineproblem)\n", "#### Problem definition:\n", "Predict the flower class based on available attributes.\n", "\n", "#### Problem assumptions:\n", "* Data is accurate\n", "* No missing values\n", "* Data is or can be in a format to be used for machine learning.\n", "\n", "\n", "#### Similar problems:\n", "* Classifying other floral species\n", "* Classifying cancer cells" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Motivation\n", "[Table of Contents](#toc) | [Section](#defineproblem)\n", "#### Description:\n", "To practice building a prediction model using machine learning techniques.\n", "\n", "#### Solution Benefits (model predictions)\n", "* Gain a deeper understanding of machine learning techniques. \n", "* Obtain more experience with Python and data science projects.\n", "* Can adapt model to other projects.\n", "\n", "#### Solution Application\n", "The model could be used for other problems that require prediction analysis.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Manual Solution\n", "[Table of Contents](#toc) | [Section](#defineproblem)\n", "* Examine all the attributes from each flower class\n", "* Determine similarities in attributes among each class\n", "* Group similar attributes\n", "* Use attribute groupings to identify the flower class" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exploratory Data Analysis\n", "[Table of Contents](#toc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Basic Information\n", "[Table of Contents](#toc) | [Section](#eda)\n", "\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Import Libaries\n", "import pandas as pd\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "# Import Data\n", "data_location = \"/Users/wmemorgan/Google Drive/Computer_Data_Science_Lab/iris_data_modeling/data/02_prepared_data/iris.data\" \n", "names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']\n", "data = pd.read_csv(data_location, names=names)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Display Sample Data\n", "[Table of Contents](#toc) | [Section](#defineproblem)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ " #### Dimensions of Dataset" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "150" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# number of rows\n", "len(data)" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(150, 5)\n" ] } ], "source": [ "# shape\n", "print(data.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Peek at the Data" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sepal-lengthsepal-widthpetal-lengthpetal-widthclass
05.13.51.40.2Iris-setosa
14.93.01.40.2Iris-setosa
24.73.21.30.2Iris-setosa
34.63.11.50.2Iris-setosa
45.03.61.40.2Iris-setosa
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" ], "text/plain": [ " sepal-length sepal-width petal-length petal-width class\n", "0 5.1 3.5 1.4 0.2 Iris-setosa\n", "1 4.9 3.0 1.4 0.2 Iris-setosa\n", "2 4.7 3.2 1.3 0.2 Iris-setosa\n", "3 4.6 3.1 1.5 0.2 Iris-setosa\n", "4 5.0 3.6 1.4 0.2 Iris-setosa" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.head()" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sepal-lengthsepal-widthpetal-lengthpetal-widthclass
1456.73.05.22.3Iris-virginica
1466.32.55.01.9Iris-virginica
1476.53.05.22.0Iris-virginica
1486.23.45.42.3Iris-virginica
1495.93.05.11.8Iris-virginica
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" ], "text/plain": [ " sepal-length sepal-width petal-length petal-width class\n", "145 6.7 3.0 5.2 2.3 Iris-virginica\n", "146 6.3 2.5 5.0 1.9 Iris-virginica\n", "147 6.5 3.0 5.2 2.0 Iris-virginica\n", "148 6.2 3.4 5.4 2.3 Iris-virginica\n", "149 5.9 3.0 5.1 1.8 Iris-virginica" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.tail()" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 150 entries, 0 to 149\n", "Data columns (total 5 columns):\n", "sepal-length 150 non-null float64\n", "sepal-width 150 non-null float64\n", "petal-length 150 non-null float64\n", "petal-width 150 non-null float64\n", "class 150 non-null object\n", "dtypes: float64(4), object(1)\n", "memory usage: 5.9+ KB\n" ] } ], "source": [ "data.info()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Statistical Summary" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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sepal-lengthsepal-widthpetal-lengthpetal-width
count150.000000150.000000150.000000150.000000
mean5.8433333.0540003.7586671.198667
std0.8280660.4335941.7644200.763161
min4.3000002.0000001.0000000.100000
25%5.1000002.8000001.6000000.300000
50%5.8000003.0000004.3500001.300000
75%6.4000003.3000005.1000001.800000
max7.9000004.4000006.9000002.500000
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" ], "text/plain": [ " sepal-length sepal-width petal-length petal-width\n", "count 150.000000 150.000000 150.000000 150.000000\n", "mean 5.843333 3.054000 3.758667 1.198667\n", "std 0.828066 0.433594 1.764420 0.763161\n", "min 4.300000 2.000000 1.000000 0.100000\n", "25% 5.100000 2.800000 1.600000 0.300000\n", "50% 5.800000 3.000000 4.350000 1.300000\n", "75% 6.400000 3.300000 5.100000 1.800000\n", "max 7.900000 4.400000 6.900000 2.500000" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Class Distribution" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "class\n", "Iris-setosa 50\n", "Iris-versicolor 50\n", "Iris-virginica 50\n", "dtype: int64\n" ] } ], "source": [ "# class distribution\n", "print(data.groupby('class').size())" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Visualize Data\n", "[Table of Contents](#toc) | [Section](#eda)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "# Import Libaries\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "%matplotlib inline " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Univariate Plots" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# box and whisker plots\n", "data.plot(kind='box', subplots=True, layout=(2,2), sharex=False, sharey=False)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# histograms\n", "data.hist()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Multivariate Plots" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "image/png": 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ZMpUhZ/w6hYVzBJDjPPHZB1D3vY9lfVxnpBOr3lyVvELfEe3AHS/cYSke088T\nZldQABj2AWAa73dPuhvXrr825+slOC52KZNtV16klCPsei4iyiI9RcxCPrMvS5nK9Pkm6bnLvclB\nTl0xOXkCEUgOlupq6qFKNeP1WE6ZHEkI4IZntJScLfcDe9Zq7bC2Huh3OgBAHTMdcHnw+GWPQwiR\ncz6L/kecIhQIIXDP1nvw232/NezrT7TfbHMO2G4IgHYu6Hc6cMu27rSxrQ9kzHnJep6o7d+9wWSu\njN/jx/4T+5P3s82VNItHs/NEnWK8n15ZzOvyZm07Pb0e9R22DV6EEH4AdwAYJqW8WQgxCsBoKeVz\ndr1GMXB1e3IMsxSxGT/vzrnX6SVZE9+OhaJB01ziUDRouPKSnrt8MHDQ9HFHQkcMh6WXac33W970\n4zoUPISm8U1Y8OKCZDrAkguXIJyYA0NUccza5DUPaf/XeRho3w9cuhDqmY1o/9Tn0fz8XOw8tBPP\nfOEZ07bVdqINc8bOwfGu42je2mxoByrUZBGMhqENyTkvZnMOCm2T1AdFu4BLFwK/uaU7Rr/wsLY9\nZSASSpuDAiTiKNKBZBSlnVsAoCvWZei3s8V2IfFomhI5pRVzxs7Bj3b9yPD8bSfaev165Bx2JgT+\nBEAEwAWJ++8BWGLj8xNVN7OSly89CkxfkbMkq8/tQ2taKePWKS0ZAwI9B1nfr9ZVm1HCdcmFS9DP\n08/4XBfcC5/M/0p8+nEpQjEtucma/lSxzNrkM7cBFy/QBjGblwC/uQWhcTPR/NKiZGw/tOsh0/LI\nmw5swqxPzULz1uaMdnDbuNuS+7aktN/0dsvSyWQg49rAJTVGf3OLtj2FT3jMzxNxNWe5bwlp6LfN\nYrvQeEwv37/9g+1o3tqMWZ+aZXj+likt2HRgE+O/itg552WHlLJRCLFTStmQ2Pa6lHKsLS+QYHve\naj7zUoC85qZwzkvROS53tVfxK1VtkbH0VbsXHNZWvM+z2hiEyJyXAhj+/e2t38aN595oSOO67zPf\n1aqM6dXGtvw38O+P9FjNzEzqcQHAhJUTEJPdv59buPHq9a/2xYmX1RW7fYVZ2qZZm/zOEeDlx4CR\nU4HTRkMVIhnbV464ErPPnY0RA0agK9ZlKB2r5/tnawcAEExU5XMr3YkTZnPMitxmGL+VLDVOAdMY\nVRccRigWhM9Th5C+yv32FQiN/TJ8tf0RCp+E7/VfQJk0W3tMtnOLVDPOE9sPbsc1o67pdTyqUs3a\nFnqaK5Pj9RwXu5TJzt4tIoTwAZAAIIT4OFKqjhFRL+llWVMNm6wNXGrrAaFot0pms1YUF+pq6rUc\n45p6QAi0d7VnrFwMaLnGilCI/mo8AAAgAElEQVQQioVwOHQY166/FuNWjsO166/F4dBhhE4cQN2P\n/gXK4oGo+9G/AKeNQnvXcczd3KQ91+YmbRVkCwtQph6Xnv6SiiuHU8UwW6k83GHeJj88AIy+Avhd\nM7BkCEIf/h0NQxtw5Ygr0dSgrUY+cdVENCXait/jh0txoc5Tl7UdvNfxHiasnICmzU34MPyh4Yqk\nPncg9ZaqVHqctu/PiFH1s/MTffa8RJ89D+1dx4H6M1D3vY9B+a9Ttds3n9XOOznOLeF4GE3jtZhu\nXNWIpa8sxUXDLoIilF7HY65zQmq8622H8V897PyE/xPA/wI4SwjxcwCbADTb+PxE1U0vy9rDqt1W\nmF6OT1u52CeB1gvuNV7+v/C78NWeYjiG0Plfz0hzad46P+9BB9NfqKJZTduc/gTg8mrpY4l9fZvu\nResF9+K2cbdh4Z8X5m53Ju1gyYVL8NCuh7jKOPUsPU43L9HmuFjps0ddnPf5RZVq0dJ9eU6gbOys\nNvYHIcRrAM6HdllunpTyqJXHCiFOAfAEgDHQrtz8PynlttyPIiq/ksauomg19meuyZkiZoWVCkWK\nx4eBz96O5VObu1PENi6E8u+PGFZh9tXUW6pm1uOvJxQM9A7E8kuWc7GxEmHfmwezyn5bWoCp30xr\nk1pKZuq+yp61GChcGHjtoz23O5N2cO+2e5OT9c0eU40Yu1mkx+metdqVk5mrtfNFzj67Lu/zSzGr\n3fGcQNn0evAihBiftulg4naYEGKYlPI1C0/zIID/lVJ+UQhRAyD/r5KJyqOksatCIiQAH5C4lQVd\nPs1ZoUiV2skr3All0CgtNQzQKs4Mn6J9s5f6XJFOzBk7J1nnX19ROb2amRWKhPb6SNxKMEO5uNj3\nWqWnbaZX9tPTNgHtVo1ra2uk73vaKASjAey4fodhzRa9cpjf7YMSDQEePxRFMVRKOhw6bDgUVlMC\nUI2xmz7nymxwYRanHR8AJ/4BPKylj4XuOpC1AiUM5xcVSlenFtfhTqCmDkibyxiKhcz7f5vi07Ts\nPlU9O4av/53j5/6eHiyE6A9gKoAVACCljEgpP7ThuIiKqtSxq6pxbZ5KAXNL0mW9HB+LdOdKr5ml\nrcx80T3daQTXrdROjolcfvyuGV7hxvRR0w05z6krgOfxC2bOKQge0baT7dj35snj01LC0lPEUlcq\nV+NA4Ajw0iNatbHEvurF96B94tfQtHkeGldqbaSpoQm3jrsViy9YjFVvrkJ75/tQX3o4I+aZOpOp\nKmPXav9oll48/Qlg73PJ+z6hmFYWi6nxtPPLcagvP9J9Pggc0WI8hdflNe//XXn2/0R5sK3aWMEH\nIMQ4AI8B2AtgLIBXoaWcBcz2Z7UxVhtLUdbv5PONXaB38Zt1BeSLl+V9hQMwqVAkBZSnrjNfJVz/\n5k0IYPVMwz6Bebsw95V7e7/Ct8WVoPuIsl9PKnvf6zThTmDbw8A5V3cv9rf3OWDyLd3x2XVS+yNv\n/1ZgzHRg6p3AaaMRiAUxd/O8jDbywEUP4L6X78OGfRu0NjO+GXW/vTMj5stQTawnVdX3VoR8+seM\nKzS+jIqUKhIxlag2pggXbn3+tsx+fHxz8up78nzg7V64MhANmK54n3f/Xzpl73up94rS+wkhHstj\ndzeA8QB+nCixHABwV9rz3SyE2CGE2HHkyBGz5yAqhx5jF7AvfrOugFzAhH3ApEKRx5uZ06+vEi4U\n7YRVU5exj2/AMAzxDcG6aeuw6/pdWDdtHYb4hmR+M6yq2glYJm7TvzE0m1NgsqIz2YZ9bz5q/Noc\nl4cnA4sHardbWpIpllBVra3oMbxnrbbPkiHweepM224/Tz8AwLpp6/D4ZY8Dp5wFtd8ZGTHPamIZ\nStr3VoR8+kdFSatA6cqoSKkobtTV9EtUoOyHWrf5yvW+QaOMr5c2UPK5fdb6fyIbFasHbMxj3/cA\nvCelfDlx/2lonVKSlPIxKWWjlLJx8ODBdh0jUW/1GLuAffGrr0ifKpmnbIdspZgjwZz7hINHM0pl\nNo1vQjieUindSsqDldcnO7HvzUe2+DzyVnc863Nd0vbRVy9P1TC0AYeCh5KlkxtXNWoly/91EdRo\nV5F/Gccrad9bEYrcP2aL0dCxt42vF+407GNWKjmj/yeyWbEGL4d73kUjpfwAwD+EEKMTmy6Fdim4\nJIZ3PZXXD5Gu1LGbviJ9cgVku77hslKK2WQftcZvXiozNTfarMzs0zcaJ//bWAqaelbuvtdxzOLz\nmoeALd/vjmdXjem8GJ9Sk1F2vGVKCxShZJZO/vN3EBLlTeeudFUZu0XuH33CY35+2bveOHemxpgK\npqrxnvt/IpvZVio5lZTyijwfMhfAzxMVQ9oAfM3+oyIqipLFrqK4tLKRFy/LeyV7iy/Qcylmk30s\npbNZSXmwsRQ0Wca+16r0+DzyFrBpsZYeBmjx7K4B6gYb54nV1EERAgN/v8hQdty7+9cQk24qWpnZ\nKlBdsVvk/lFx12Dga+uw/LMPwFfbH6HwSfiO/x3Kv3xdm7uVpdqY3enMRFbYUSr5WWgFTU1JKaf1\n9BxSyl3IL9WMqCKUOnb1FekBFDRJ38Ck7GYcKkJCwg8gKCS8UBGOpk0U1vOpAaC2HqFIZ9aym8lj\nzFZmNhI05lCnPXcpqKpEMBqHv8aFYCQOv8cFRamOOZ3Fit8+957qbcXj0+ZsAcCAjwKX/Zf27z1r\njfGsT2jWb8OdUDoOZpQdDzTMyl6yvDInO1eMYve9jo5hNQ5EAjlLHGeIBKG8+SzqNmhriydL489c\n0z3n0YSezpwew8FoEH6PH8HEl2wuu75kQ0UWsKASs+PKS4/lkKm88qlO1ocrk1EqfQ7K0zdq3xgP\nm4z4zNVoj3dh/tb52HloJxqGNqBlSgvWvr0Wj77+KBqGNqB1aisGegcaThR6OltzyuMy0tn0lIeU\n16uElDBVlTgWiKBp9U5s39+OicMHYtnMBgyqq3HOHyoVps+9p3pb2fEzYOx1wDO3dcfwFx4GrlgK\nnPZJoPGr2eM5S/zXur1omdKS0eZqXbWl/R3JoCJj2KTPxhdXaFdjUq++6OW6197Uvd/0J7QrgrkG\nEAX20Wb9f8uUFqx6c1XyvNEypQUDvQNtGcCoUkV7VzuatzR3n29MzkvUt5W9VHK+7C53OPyu3+a1\n//7vXWV95woplZwPhw1eHPeXUMWU6zQpu9l59wE0vfCNjJKXd0+6G9euvzZ536wEpqrGE2U3c6Sz\nWVlgrcQ6wzHM/tkObGs7ltw2eeQgPP7VRtTXFiWrVtdnY7eM72lx6G3l863a+kbppWr/bRlQdxpQ\nU587nk3ivzMWxKo3V2Us8PeVT30F9b29slpcfTZ+gQqNYaulklPLdaful1bi2FSBfXRq/x+MajH9\no10/Sv7/xNMnYtnFy2yJaRtKMzsudimTba1QCDEKwFIA5wBIrk4kpRxp12sQUWEyLrN7fFDS5qD4\na/qZ5i6PHDDScN/n9iVSEbpPcAoE6hLfg2i3JueHEqeEWUn78Ne4sH1/u2Hb9v3t8Nfk/w2ho9NM\nbJTrPU1/j3xuBaGYWv73LNcfbfp8rdNGa7fJ9Vs+CUQ6tEFLJIBk9nS250qLf1Wq8Hv8ePT1Rw1/\n6LmFGzefd3Npf38yMIvhof1rAQmoUiZjFUDp2nyNH+h3OnDLtu51hrY+kFkqubY+c78T72v/p5ep\nr/Frk/DTFdhHp6Yz6zGdauehnfB7/AhEA71O9fK5fZwnRrZWG/sJgB8DiAG4GMCTAFba+PxEVAD9\nMvvc5+dqKyc/P1dbOfmz8w37BSMdpqUy2060Ge6HooHMksfhEz2v/FxCetrH7J/twCfu2YDZP9uB\nY4EIVNV4pTkYiWPi8IGGbROHD0Qwkl+lHKuvVw2yvadd0bjhPfqfrW2V8Z71VMZbn6919C1g6nzg\n0oXaFZglg4E1/wc48Q/gpUcSq4/HLK2CrrfJjixtLmhX+XMqSHoMTxv7Edx5+WjMfjI1VsPo6IqW\nLn6jXSmxN0S7vXShtt2wX8i435F3gNPP1a7G3DtYuw0c1WK1CIJZSvp3RjvTzkHtUGX+54hQLGRe\n0jkW6tVxk7PYOXjxSSk3QUtF+7uUchGAS2x8fiIqQCgWQvOWZmM51q3NCJ0/x1B20yeBlrRSmS1T\nWrDpwKbu0pkX3AtfVyCz5HHweO4yyCUWjMbRtHontrUdQ0yV2NZ2DE2rdyIYNQ5K/B4Xls1swOSR\ng+BWBCaPHIRlMxuS36ra/XrVINt7qqowvEeXjzkD89bsKv971lMZb30uwN7ngH+5WZvzkrrvM7cB\n51ytzTGIWCgJju42+dy7z5m2Oa/ba3KgVCrpMXzHZZ/At371l7RY3YXjwWjp4lfGgd/cYoyt39yi\nbTfspxr3G/EZLTZTH6fHahH43L6MmG6d0oqn3nzKeA7a0lzQgMPn9qF1aqvx+ae28spLlbEzebNL\nCKEAeFsIcRuA9wEMsfH5iagAWS+ze+q1PP5EaoHrt9/EwH9/BMsufhB+Tx2C0SC8x9rwldEzcPN5\nNyMYPgnf67+EMvFG4wsc2Aac+rHMbWYrP5eI1XQwRREYVFeDx7/a2KvUDzvTz5wu23sKAcN7dPaQ\n+sp4z3KV8VbVRIna04Dzv66l0pjtq6eUmaXspKX26N82P37Z42g70Ya3jr2FBy56AP1r+mttzu2F\n2yylh0omPYYBmMbqWQP9GduKFr81dVnitM6Yxpu+n+8U88eZpYXZMC/RlSjpv+ziZYZqY/tP7Me6\naeuSc7tW7F5R0IBDEYq2ZMAly1ltrIrZ+WnfDsAPoAnABADXA/iqjc9PRAXIepn9xAHg4cnA4oHa\n7aBPwBU4hvqnZkK5dzD8XZ34sH4Qmv54ByasnICmP96B4+dcBbXziPEFhk0Gjv89c1skUOTfLLt8\n0sEURaC+1g1FJG4LyFm3K/2srzB7T9Pfo3cOd1bGe5Zt5fL2/YmUrzgQPKql23x4wHzfo291rz6e\nI7UnNYVTX418+CnDcd/L9+Gm398EIQQHLhUiNYazte9/tAczthUtfrPFabjDmKYY7jDuF/owy+M6\njdt6Sp/Mg0txob6mHopQUF9Tj4gaQdP4Jix9ZWky7pvGNyEcD+f93IA2gKnz1BluqbrY9olLKbdL\nKTsBnATQJKW8Vkr5kl3P39ed+7NzLf8Q5cMnRcbq3q0Xfhe+2lOMqzWfPwdY253yElIjaP7zdzJX\n/671p60gvgKo7Wfc9oWHtbUBysSudLBKfT0nSn+PNu45iAdnjCv/e2a2cvk1DwGbl2gpX5FAdyqY\n4tJiO33fvc9p5WhdnpypPWYpnAv/vBC3jbuNqS8VzLx9j8Opfk/p4tcsTqevAF561BhvLz2qbdf3\n2/cnLTYNj0vEaqqe0id7QZUqFry4wBD3C15cUNCcFyLA3mpjjdAm7fdL3D8B4P9JKV+16zWIKH+K\nx4uBzxpX9/ZtXAjl3x8xrtaclj7j639mlnSzOkO6GepOA349x7ht02Lg2sdK/asm2ZUOVqmv50Rm\n75HPrZT/PUuuXL5a+wNRj989a7U/9lJTxfp9RIv1masBT113tbFJNwG7fwVMmp09tQfZUzg/2u+j\n2qHwG+SKlDUVEihd/CbjNKXP9viALS3G/ba0AFO/mbJfADjwEnDdk1oKWejD7lhNlSt9spdYIYzs\nZuf16f8BcIuUcisACCE+A20wc56Nr0FE6czylCENKywrk25GXeJbrjqpAoNGAbG0S/aRgJZOkFgf\nIHTsbfPVv08cQN3DKWkI8/cDHR9oqWe64VO0tISe1hWw9OsVVoJYT/sA0Ou1Gawcg52v11ekvm+B\ncKx7PoDsfo/qXdof7GV9zxQFgACevEaL/zHTu+ethDuBBYeAo3/T0scu+rb2mCenZa6lMXYmsOCw\nNgDacr82ABo2WWuXtfXJFM6MNhULWV2jgkokHlcRjMZRV+vWYtfjMm3fZW3zsbBWAe+cq7u/ONr7\nnLFvlxJ48UHzWE3tn/W0tNT9UmK3Nxj3ZDc7v+bp0AcuACCl/BOADhufn4jSmeUpRwNa2Va9NOZL\njwCnnGXMw580W/vWOPVxasyQluDbux6t6VVjprbC501LN1Pc5mkJNb0/KVVCCeJKOAYnSn/fbn7y\nVbx/vCtZIrni3j89Leeie4zzVtbMAk68p5WclRJ4tgl47huZ6WPTn9DaWupcl4vuMaxSzkpJzhCP\nqzgWiODmJ19Nxu6xQATxeBnTnMz6+kiH1pfn6ttfeiRL/5x2RcUsLS0ldnuDcU92E1LacwIRQvwA\n2oT91dBW6/oygOMA1gKAlPI1O17H7hXKh9/127z23/+9q6zvvGiA5V3PHTEsr+Molt1f3V3uQ8iH\n43Jy7I5f01WX5+8HfnF997ZbtmWuDD53p/ZHWPq3cbN+qZXaTFzFUT0+hOJdxqouEj1e6UFNnTY/\noJcqYaXrIh1Dn4/dbO/bommfxqL1b5R3tfJsVBWIdJqvUH7dk8Avb+jePmY6cPECYOBwLeZfegR4\n4bvGx8x4SksrS6nYlLFgrDMrJfXp+O3oiuLmJ1/NiN3HbpiAfl5PjkcWkVlfP3wK8G/LgOUpBVnM\n+vaL7tFSG70Duq/OnP/1zCvjNlQby6aC4t5xsUuZ7DxzjEvc/mfa9gugDWa45guR3czylL0DjNv0\nMq6pTv2YeX6zx9s90b62HgqAOkW7gpK8vC+QuQqzqnY/TiRScAqQnqpRV+u2VE7XamqZWSqIy5X7\nBMoyyIXJ9r7pJZL9NS7EYipCsfw+j6LSVxg3axvpJWf3rAX2PgN854j2mPS5B3o52rTvB/UKSQCY\nMlOhsvU7dWmD7fT49bldcLuLFL/Z5qSkl6k369v1eTCLExXTFDfw2TuLc5xZMO7JTnZWG7s4xw8H\nLkTFYFY+s+uEcZtexjXV8b+bl88sZOEym0psmqVqdHbFeiynazWtq9BUEJZBLkwwbP6+6SWSDxwL\noj0YwU/+tK9yUnOA7CVpc5Wc7bHcMqsqOUkgbN7vBMLdq9LHYirag8b+pD0YQSxWpM86W4yll6nP\n1rcffct4v4ilkomKzbbBixBiqBBihRBiQ+L+OUKIG3t6nOMsGmD9h6jYzPKU0+eg6GVcU/fxn2pf\nfrNNJTaD0XjGius/fXEfHpyZu5yu1dXtzZ5/3ppdPa6IzTLIhVEU4PtfOs/wvrVMPw8b9xxEy/Tz\n8MAf/oZ5a3bh8jFn5PV5FF220snZSs7W1PVcbtmGcrNUOh5FZJTxfnDGOHhSruaGYub9SShWpPjN\nNifFf2rPffv0J7TzQK45iUUslUxkNzvTxn4KrbrYPYn7fwPwCwArbHwNIkplWj7Tr/3MeCplDoo/\ncx8gc1sh+c02ldg0S9VY9vw7uPWSs3OWI7Wa1mU1FSQdyyAXxutx4f6Nb2HRtE/j7CH1CEZi8Hlc\nuHzMGbj/929h/ev/hFsROHtIdyUjK59H0aW3KX0Ol/80La3S0K5S5nblKrdsQ7lZKp0ajwsbdvwD\nP/7KePT3eXAyFMUzu97H9ZOHJ/cptD8pWLa+HrCwzavNcfnsndnnJBaxVDKR3exsZadJKX8phLgb\nAKSUMSEE8yqIik3P0weMJS31yZj6rdk+ZtvyZVOJTT1VI3WSrJ6epU+SNZvgHYzE0XTJ2bh8zBk4\ne0g93jnciY17DiIYiRv2z/b8gXCsx0m4LIOcv2AkjkMnw7j8h1sAABtvn4qNew7i8jFn4AdfHodb\nLz4bG/ccxDuHu9NXrH4eRZfaptLbT3q7Sn1MarllnU3lZql0AuEYTgSjOHQyjH5eDw6dDONEMGqI\nzd70JwXL1tdb2ZYtbnVFLJVMZDc7Z5YFhBCDkJieKIQ4H8AJG5+fiCqRTSU2/R6XaapGT+lZPreC\nGZOGYdH6NzB6wQYsWv8GZkwaBl/axNlCn58Kk55u13akw/RzajvS0Xc+jyKWm6XS8bldWfoUl2Ef\ns/4kdR9HYeySg9hZKnk8gOUAxgDYA2AwgC9KKf9iywsklL1UsneWba+diqWSC+K4vB3bSyVXCptK\nbBZSDSyfUsaFPH+RVEXspi9Sma38bAV8HvYpYrnZCtKn49dqn1LSamOlwNglh7AzKj8O4EpopZE3\nAngb9qalEVGxqaqWEy0Tt1YrzejpDCJxW+AJTwgBIYTh36oq0RmOQZWJ27QqYvmUMna5FPTzeqAI\ngX5ej+kfyj29HlmXTLeTuecI5Po8KkI+7cKmtkClk97mrfYpbrexP3HUwMUsphm75BB2RuZ3pJQn\nAZwK4HMAHgPwYxufn4iKqcylMs1LHofR0RXNWQbZzlLGVssuk3X6e3roRJf555RSfrYisYRsn2bW\n5rOWaK/0WLWKMU0OZ+fgRf9L4SoAj0gpnwFQY+PzV4ThXU9Z/iFylDKXyjQvebwLx4PRnGWQ7Sxl\nbLXsMlmnv6eqlBmlk7//pfOgiArP4mAJ2T7NrM3/9MV9GfNZHBGrVjGmyeHsTOt6XwjxKLSrLi1C\niFrYOzgiomIqc6nMbKkaZw30Z2xLTd+ws5RxPiloZI3+np4+wIdv/nJXsnTyO4c7cf/Gt/DAl8eV\n+xBzYwnZPs2szS97/h3ccvHZzotVqxjT5HB2Di6ugzbX5Qop5YcABgL4lo3PT0SFspKzn20F50jx\nvo1LzTUPhGNouuRsbLx9Kt697/PYePtUNF1yNv7Rbnx9qylhsZiKjq4oVCnR0RW1tPK1nSlopNHf\n03cOd2LkadrCeFJKDO1fiweuG4dAOIa4qqIzHEM8rto/36jQeVy6MrQLKp1sbb4jHMPQ/rUQAhja\nvxaXf3ooAonY7OiKIh5XEY8b+5h4XC39nLlC4psxTQ5n25UXKWUQwLqU+wcBHLTr+anb7n0H8tq/\nUiqZUZno+c1P36h9uzZscmJl5sHGCZl6qcz0/YpUKlPPNW9avRPb97dj+cxxmDFpGOat2YXt+9sx\ncfhArXRujQuTRw4ybPOmTOxOf56Jwwfi8RsmIBiJZzzXQH9Nzkm1egpa6nMVmoJGGq9LwYMzxuHV\nv7djxqRhWPPKAXyh4aOYv/Yvyfe4Zfp5eOOfH2LCxwYaPrNlMxswqK6m8AVBrcZ+LiVuF1RaZm0+\nW/9xpKMLDYu3Zt9n5jjUuhR8fdVr9sVwLoXGN2OaHM62Usm9Oggh9gPogDZvJialbMy2b7lLJecj\nn7LK+Qwwijl4YankPA8gj9gFylQqOdypTchMXXxs+BRtBeb0xcdKWCozvRzpxtunYtH6NzLKkz5w\n3Vic7IoZFqD82mdGJBeCMytrumvhZfiPVa+ZluXtaQG51PK+vUlB60HZYxcoTd/b0RXFT/60D1/7\nzAjc/OSrWDTt06af84+/Mt70MzMreW1ZPrGfS3WUkM1H2ePXzr43vc1LKU3Lev/4K+MxbvEfAGTv\nY5Zeey4uuv8Fw7ZexXAuvYnv6o3psscu9V4llTK+WEp5tNwHQVQAe2K30JNJT4/LJ7852wrOPR5C\nz3/wp+/j8ygY2r8WG2+firOH1CMUiWNo/1rDY7bvb8fg+lr4alzJ9I0Bfg/qat3JkqZmOev9fZ6s\nZXl7kizvCxTnD47KY3vfq3/WPo8Wh7dcfDZC0ThW3fQvWT/nbJ9Zr+Yb5Yr9cGdKm/EB0VD2NlRg\nu6CisyV209u8mkhr1Pumdw534scvvIP+Pg/eve/zeOdwZ9Z4TZ+jN7R/LSABVcrefxmixoFIQIvB\ncKd2W+jcFcY0OVhVDLOJKl6hpSutPK7I+c1Wygub7dPRFUPzFZ9MrmI9+8kduPPy0Zg29iPJxy2f\nOQ7twQj+Y9Vr+MQ9G/Afq17DlWPOQDgaTz7XgWPBjJz1k6GoaR57oK+UOq1g+mf9P1vb8P7xLvzk\nT/vwzw+7cPOTr2b9nCcOH5i9PG1v5htli/1wh7HNBI4A2x5m2VgCAHRF4rjz8tHJvmnR+jdw5+Wj\ncaQjnLyfLV4Pn+xK3p829iO48/LRmP2kDaXX1bgWp2tmaXG6ZhbQ1cG5K1SVKmXwIgH8XgjxqhDi\n5nIfTDns3nfA8g9VFHtit9DSlVYep+c3D58CKG7t1sb8Zivlhc32+TAYxTd/+bph27d+9Rfccdkn\nkuVJLxw1GPPW7DLsM2/NLkTiMrntgT/8LaMEr1sRGaVOH5wxDj43566ksb3v1T/ry8ecgflr/5K8\nzfU5f/9L58HjyvzMej3fyCz2p68AXnrU2GbW3gScczXLxjpL0f5uiEuJb/0qM2YjMbXHcsr9fZ7k\ntjsu+0TG8xRcej0S0OI0NW5fflSL5yL17USVqlJyIi6UUv5TCDEEwB+EEH+VUm7R/zPRMd0MAMOG\ncfI5VZScsQtYjN9CS1daSYuJBqH6ByE0aw18Hj9C0SB8bh8Um/KbzdK2rhgzFFLKZBUxs33OGug3\nTbsYNsiPt5ZciXcOd6I+y6rs/bzdXdf61/8JRQCP39AIf2132prX7cJjN0xAXa0bgXAMPrfLWStg\nl4btfa/+WZ89pN5wmyr9c9bL0Na4FFtKXicpijZ5eeYaY4rYlhbjfge2AaeNNt4vsGysKlWEYiH4\n3L7krSIYd0VgT98LrTJhKBZP9hV1Wfqdj5ziS97PVU5Zj2H9cenPU1AqpFmK2JYWYOo30+K7uHNX\nGN9UCSoi4qSU/0zcHgbwawCT0v7/MSllo5SycfDgweU4RCJTPcVu4v96jt9CU7sspMWoLz2M9q7j\nmLu5CRNWTsDczU1oDx+HKu1JiwmGjaVGF/3bObhyzBm4+clX8Yl7NuDmJ1/VqoFdcrbhcf9oz0z3\nmjh8IN4+1ImPf/t3uPyHW7Kmf50MRQ3bDp0MAwJQhJa7rigCbreCfl4PFCHQz+vhwMVEMfre1NLI\nqbep0j/nQyfDCIRjcLkU7fNL+Rx7Tc/tF4nbaJY2c/Qt4/0CUm9UqaK9qx1zn5+rtbXn56K9q922\ntkbd7Op7YzEV7cGIoc6D6AgAACAASURBVL/KlhL2zuFOw/33jodw+Q+3GOI4GIknY9jW0uvhzizn\niIAxvos8cGF8UyUo+9lcCFEnhOin/xvAvwLY05vnHH7Xby3/FNPwrqcs/5Dz2Bq7haZ2WUiLCZ0z\nDc1b52P7B9sRkzFs/2A7mrc0IxQLFXSo6RQFhrStLzScmZnqtXoX/u+FIwwpFqf6PVg2MzO1a+Oe\ngz2mf6X+vy3pRVWoGH0v0F16duOeg2iZfl7yNtfnXNKUPuECvvBwWpt5Atj7XK9Tb0KxEJq3NBet\nrZHGztgNxeIZ/dVPX9yHB3vom5bNHIdT/Z6c/ZDeFmzpq1w1Wpymx62rppBfuyCMb6oUZS+VLIQY\nCe1bE0BLY3tKSvndbPtbKddZ7EFJMeRTVjlfLJVcpBfPM3aBHuLXtmpjPmDJEC0vGoC6sB0TVjUi\nJrsnq7uFG69e/6otl/tVKXHHL3bhPy46G2cPqYcQwCfu2YBYyqRUtyLwt+9eqaUCpaQEATBUIPO6\nFEP6Ruo+qduEEKUoZ1xMZT/YYvS9utRqY/rno31ebrxzuBPb3j2KyR8/LVllzutWSndlTKrAupuB\nKXdoqWJH3wL2bQXGzQJq6nqVeqNKFRNWTihaW6sgfabvVaU07a/eWnIFgpHufqcrEoOvxmNITQWQ\nd5XFgvsqqQKvPA6c+yXAdwoQ+hDY/Stg0mztqksJ9JH4LnvfS71X9jkvUso2AGPLfRxE+bI9dgst\nXZn+OD29IFH7P3TsbTQMbcD2D7YnH9IwtAGhWAh1nrpeH3YwEsflnx6aXI06EI6h6ZKz8cD/93Zy\nH73Sl77GSmoJ4tQSpfF4ZvqBy6WgX2JRytQ1WqqsnLHtitn3ppaeFULF7/d+gM+M6k7bee3Ah1j0\n7N7k2jsi8edESdbYiQSBjg+Ah1NScIZPAcb9n+7UmwKFYqGitjXS2Bm7gbCWIpa6Xoue2qV/tysl\n0BGOwVtj7GuslFW3rfR6JAi8+Sywobl7mx63JSp1zPimSuGYoTIRWZSWSubbux6tU1ow8fSJcAs3\nJp4+Ea1TW+Fz+3p+Lgu8LgUTPjYwWc745idfxYxJw3DH50bllRYUj6s4FohkzJUxG9CQc+jxoZdK\nXrT+Ddz5r6Nxx+dG4cEZ4/Cnt4/gWCCCWEztseS2LYpYfc/n9qF1amvR2hrZz+d2maamCgBzVmp9\n0U9f3If6Wk+ybypabOZS5KqRVjC+qVKUPW0sX0wbyx/TxipHoauU5y0tlUz1+BCKdxWlQkxHV9R0\nNepHr5+Aeq8bJ0NRbHv3KKZ8YkjObx6zPc9jN0wwXHHpI6omdnPFx7rX3jNcgTHbryirkxdxdfEq\nqcbUZ+K3MxzD1r8dxuSPn4b+Pg9OhqKocSm48Wc7krG48fapWLT+jdLEZi5FjFvLh+D8+HZc7FIm\n5lsQ9UVpqWQKgDpFu6xv9+X9bGVF62rdGHn37wB0z3np6Ioa5q64XIql5yFnUlWZ83Nd9Oxew33b\nysr2pIiriytCSbYxptJUPn+NC3NX7zLMeWlb+nlDLGYr912U2MyliHFr+RAY31QBHDVcJqLKo+eM\npzIrK9rZFcuZEpbteQLhGMh5VFXiWCCStdx1enxk+/wLKitLZJFZOeOOtFLJ2cp9MzaJyoODlyqw\ne98Byz9E+fJ7zHPGDaVwZ47DT1/cZyyfvGaXYaXpbM/DEsjOFIzG0bR6J36z8/0e4+P7XzoPLiHs\nKytLZJFZOWO3Igzl3zfuOZgRw4xNovJhPgYR9YrLpWBQXU3Gavb/b8pI3HbpKAQjWsncZc+/Y3hc\nekqY2fOkp5aRc/hrXNi+vz05T+DHXxmP/j4PguE41r72D1w+5gzceskow8rkXo8ruTq5Q0tgk8Mo\nisCguhpD3PlqXLjn129h0bRP4+wh9XjncCc27DmIx29oNJRKZmwSlQcHL0TUa+nljFVVAikZFcFI\nHE2XnI3Lx5yR/GNg456DhvLJACCEgEjUzU39d7qSlNQly8w+j2A0nlGCFgAkJE4Eo7j8h1uS2yaP\nHJRcmZwlsKnU0ssZd3RFMfI043yOE8EoJJxV4Iior+LZgYhspc91aFq9E9v3t2Pi8IF4/IYJmDFp\nGOat2ZXcll4+2exxy2Y2YFBdjWFgYnU/Ko1sn8dAvwfLZjZgx/5jyVLaqZ89ACx7/p3k/kzBoUrh\nc7tM+6t3DnfgS4+8xD6HqMxYKrlCFLNUcj6KVVb53J+dm9dxWHxux501SlYquYw6wzHMTikzCgAv\n3HkR7l63O2epUbPHmZUjtbpfheszsZvr8/B7XAhEYllLJdfVuhGMxFBX4+Yfgc7iuA8rn743W3nv\nH39lPMYt/kPyvsP6HNI4LnYpE5PJiRxOVSU6wzGoMnFbyoXTTOhzHVKdNdDfY6lRs8eZlSO1uh+V\nRk+fR7YSyPVeN0Yv2IC6Wg5cqLJki9n+Pg/eve/z2Hj7VAztX8s+h6hMOHghcjA9Zafoq5Lnwaz0\n6D/agz2WGjV7nFk5Uqv7UWlk+zy6onEcC0Rw4Jj5Z6+XUObnRpUmW9nuA8eCGL1gAxatfwN3Xj4a\nXVHGLlE5cPBCBTv3Z+da/qHi0MvRppYgblq901CCuNTMSo+e6vdg2czcpUbNHmc2F8LqflQa2T4P\nVQWaVu/EA3/4G1qmn5dRKnnbu0f5uVFF8rkzy7Z//0vn4YE//C3Zz37rV3+Bqvb8XERkPyZrEjlY\nJaZQmZUe1f9AzVUGN9vj0lOKrO5HpZH18xZaLOorl+tlZ0OROLweBVM+MYSfG1Ukt1vBQH932fZg\nOI4Fv9mN9a//M7nP9v3t8Ndy4E1UDrzyQuRg5UihMptjk74N0EqOKkIrQWr1D1S9ZGlPj7O6H5WG\n2eehl8feePtU/ODLWnWxHz3/NiQkPzdyFAmZUTqZKY9E5cMrL0QOpqfspJepLVYqjllZ3Ee+Mh6R\nuIqm1buyli5meePq43UpWcvNfvTUOn72VLFiMRXtwUhG7AIs701UCXjlhcjBUlN2/vbdK/H4VxuL\n+keh2Ryb48EomlbvyjnvphLn5lBxhWJxzFtjjIt5a3ZhxGn1/OypomWL3a99ZkRJ+lkiyo2DFyKH\nK2UKVbHLIJOzpaYP5io3y8+eKkl62mu22K1jqipRReDghYgsM5tjc/hkl/m8m3D+ZZDJudLLduul\nkFOxRDJVGrNy89lKJQcS8/mIqLw4eCEiy8zK4vb3efD9L52XUVZUUXI/jjnjfUt6auBvdr6fUW6W\nJZKp0piltP7p7SOmsetzM2aJKgEn7BORZWZlcX01Ltzz67eSpXDfOdyJ+ze+hQcSFaayPY5lcvuW\n9NTARc/uhRBIlpsNhGPweVwskUwVxSylde7qXfjrvVcYY9ftgtvN73uJKgEHL0SUF32ODaCVQ+4M\nx3DoZBiX/3BLcp/JIwchGIkn9zN7HPUtemrgtrZjyW3/u+cQpk84C4oQ6Of1AADqXfwDkCqHWdxO\nHD4QXTE1GbP6LRFVBv4FQQa79x2wvO+5I4YV8UjIKUpdrpkqE+OAnIhxS+Q8HLwQUa8wJYwAxgE5\nE+OWyHk4eCGiXmNKGAGMA3Imxi2RszD5mIiIiIiIHIFfMVSI4V1PWd53v3dWEY+EiIiIiKgy8coL\nERERERE5AgcvRERERETkCEJKWe5jyIsQogPAW+U+jjI4DcDRch9EmWT73Y9KKa8o9cH0hhDiCIC/\n97Cbkz9rHrs1fTV27VTJsVSpx1aq4+oL8Vupn6EVPPbCOS52KZMTBy87pJSN5T6OUqvW3xuovt/d\nyb8vj53sUsmfR6UeW6UeVyVy8nvFY6dqx7QxIiIiIiJyBA5eiIiIiIjIEZw4eHms3AdQJtX6ewPV\n97s7+fflsZNdKvnzqNRjq9TjqkROfq947FTVHDfnhYiIiIiIqpMTr7wQEREREVEV4uCFiIiIiIgc\nwVGDFyGESwixUwjxXLmPpZSEEKcIIZ4WQvxVCPGmEGJyuY+pFIQQ3xBCvCGE2COEWC2E8Jb7mIpF\nCHGWEGJz4vN9Qwgxr9zHZJUQwiuEeEUI8Xri2P+r3MeUr2rtWypRpbeFSoyVaj1HFEoIcYUQ4i0h\nxDtCiLvKfTxWCSH+RwhxWAixp9zHkq9Kb9fkLI4avACYB+DNch9EGTwI4H+llJ8EMBZV8B4IIc4E\n0ASgUUo5BoALwIzyHlVRxQB8U0r5KQDnA7hVCHFOmY/JqjCAS6SUYwGMA3CFEOL8Mh9Tvqq1b6lE\nld4WKjFWqu4cUSghhAvAjwBcCeAcADMrLL5y+SkApy6wWOntmhzEMYMXIcRHAVwF4IlyH0spCSH6\nA5gKYAUASCkjUsoPy3tUJeMG4BNCuAH4AfyzzMdTNFLKg1LK1xL/7oD2x8eZ5T0qa6SmM3HXk/hx\nTCWQau1bKlUlt4VKjJUqP0cUYhKAd6SUbVLKCIA1AK4p8zFZIqXcAqC93MdRiEpu1+Q8jhm8APgh\ngGYAarkPpMRGAjgC4CeJVIUnhBB15T6oYpNSvg/gfgAHABwEcEJK+fvyHlVpCCGGA2gA8HJ5j8S6\nRCrNLgCHAfxBSumYY0f19i0VrwLbQiXGSlWeI3rhTAD/SLn/HvhHdElVYLsmh3HE4EUIcTWAw1LK\nV8t9LGXgBjAewI+llA0AAgAck6NbKCHEqdC+DRsB4CMA6oQQXynvURWfEKIewFoAt0spT5b7eKyS\nUsallOMAfBTAJCHEmHIfkxVV3rdUtEprCxUcK1V5jugFYbLNMVeKna7S2jU5kyMGLwAuBDBNCLEf\n2iXeS4QQq8p7SCXzHoD3Ur7Jfhraiaqv+xyAfVLKI1LKKIB1AC4o8zEVlRDCA61T/7mUcl25j6cQ\niXSVF+CcvOxq7lsqVoW2hUqNlWo9RxTqPQBnpdz/KPpwSnIlqdB2TQ7kiMGLlPJuKeVHpZTDoU3a\nfl5K2ee/hQcAKeUHAP4hhBid2HQpgL1lPKRSOQDgfCGEXwghoP3efXYSauJ3XAHgTSnlA+U+nnwI\nIQYLIU5J/NsHbeD51/IelTXV3LdUqkptC5UaK1V8jijUdgCjhBAjhBA10D7L9WU+pj6vUts1OZMj\nBi+EuQB+LoT4C7RqTveV+XiKLvEt4tMAXgOwG1qsPlbWgyquCwFcD+3b3F2Jn8+X+6AsOgPA5kR8\nboc256ViysiS4zi5LZRL1Z0jCiWljAG4DcBGaF+I/VJK+UZ5j8oaIcRqANsAjBZCvCeEuLHcx5QH\ntmuyjZCSqZ5ERERERFT5eOWFiIiIiIgcgYMXIiIiIiJyBA5eiIiIiIjIETh4ISIiIiIiR+DghYiI\niIiIHIGDFyIiIiIicgQOXoiIiIiIyBE4eCEiIiIiIkfg4IWIiIiIiByBgxciIiIiInIEDl6IiIiI\niMgROHghIiIiIiJH4OCFiIiIiIgcgYMXIiIiIiJyBA5eiIiIiIjIERw3eLniiiskAP7wR8KBGL/8\nSfw4DmOXPyk/jsP45U/ih/qAog9ehBAuIcROIcRzJv/3f4UQR4QQuxI/N/X0fEePHi3OgRKlsTt2\nAcYvlQ77XnIyxi8RZeMuwWvMA/AmgP5Z/v8XUsrbSnAcRPli7JKTMX7JyRi/RGSqqFdehBAfBXAV\ngCeK+TpEdmPskpMxfsnJGL9ElEux08Z+CKAZgJpjn+lCiL8IIZ4WQpxV5OMhsoqxS07G+CUnY/wS\nUVZFG7wIIa4GcPj/Z+/d45yo7/3/13ty2Vx2gd0FgaKIHBFEERZYlSrU6vm2Vav1iFXw2vPTatWC\nx0uXWq1fD7W1u0ergsc7/VatgK3YU+pptT1VBJXqclMUvHAoolQE2WXZbC6bZD6/PybJJpOZZJLN\nJDPJ+/l48Mjmk5nJJ+Sd1+fzmZnX+y2E2Jhjsz8AGCeEOAHA/wB4UudYVxPRBiLasH//fhN6yzAD\nlDJ2E8fj+GXKBmsvY2c4fhmGyQcJYU7yBSK6G8BlAGIAPFDuW31eCHGpzvYOAF1CiKG5jjtz5kyx\nYcOGUneXsSdkykFNil2A45dJYUrsAqy9TFng+GXsimmxy5QP0668CCFuFUIcLoQYB2AegJfV4kNE\no9OengvFnFczyLJAIBKDLBKPMmfxswIcu4ydsXL8suYx+bBy/KrheGaYylCObGMZENFiABuEEKsB\nLCSic6GcYekC8J1y96dSyLLAgb5+LFyxGZ27utA6rglL5reg2e+GJPGJASvCscvYmUrHL2seMxgq\nHb9qOJ4ZpnKYdtuYWVTLpd9AJIbvPrkB63ceSLXNGt+Mx6+Yifq6sq8p7YrtRohqiV9m0NRc7LLm\nVRU1F79qOJ5ti+1il8nG9CKVjDY+twOdu7oy2jp3dcHndlSoRwzDMObBmsdUExzPDFM5+PRAhQj2\nx9E6rinjrE3ruCYE++N81oaxHVOenGJ4261XbDWxJ4xVYc1jqgmOZ4apHHzlpUL4XA4smd+CWeOb\n4ZQIs8Y3Y8n8FvhcfNaGYZjqgzWPqSY4nhmmcvDpgQohSYRmvxuPXzETPrcDwf44fC4HG/0YhqlK\nWPOYaoLjmWEqBy9eKogkUeryMl9mZhim2mHNY6oJjmeGqQx82xjDMAzDMAzDMLaAFy8MwzAMwzAM\nw9gCXryUAa7CyzBMLcMayNgNjlmGsS58k6bJcBVehmFqGdZAxm5wzDKMteErLyYTjMaxcMVmrN95\nADFZYP3OA1i4YjOC0Xilu8YwDGM6rIGM3eCYZRhrw4sXk+EqvAzD1DKsgYzd4JhlGGvDixeTSVbh\nTSdZhZdhGKbaYQ1k7AbHLMNYG168DAIjhj6uwsswTC2jrYHTIBHYBM1YAvVY7nVKPG4zjIVhw36R\nGDX0cRVehmFqmZQGXj4TvjoHdh8I4qf/vR2fH4qwCZqpOHpjeZPPxeM2w1gUvvJSJIUY+pJVeCVK\nPLIAMgxTQ0gSAQRc8vibOO2eNfivLf9gEzRjCfTG8lBM5nGbYSwKL16KhA19DMMwxmHNZKwIxyXD\n2A/TFy9E5CCizUT0gsZrdUT0LBHtIKI3iWic2f0pFWzoq36qNXaZ2sBq8cuayRRCueKX45Jh7Ec5\nrrzcAGC7zmtXAugWQhwN4D4A7WXoT0kotRGfq/lakqqMXaZmqFj8aukZJy9hCqQs8asXl16nxGMy\nw1gUUw37RHQ4gLMB/BTATRqbfAvAnYm/nwPwIBGREMLyKlFKIz5X87Ue1Ry7TPVTyfjNpWecvIQx\nQjnjV2ss9zoldAWjPCYzjEUx+8rL/QDaAMg6r48B8AkACCFiAHoANJvcp5JRKiM+V/O1JFUdu0zV\nU7H4zaVnnLyEMUhZ41cdl6GYzGMyw1gY0xYvRPRNAPuEEBtzbabRlnXmhIiuJqINRLRh//79Jeuj\nVWDDoLUoZewmjlfV8ctYi0prL+sZMxgqHb8AxzDDWB0zr7ycAuBcItoFYCWA04no16ptPgVwBAAQ\nkRPAUABdqm0ghHhMCDFTCDFzxIgRJna5MrBh0HKULHaB6o9fxnJUVHtZz5hBUvG5A8cww1gb0xYv\nQohbhRCHCyHGAZgH4GUhxKWqzVYDuCLx9wWJbarCMxCPy+gNRyELgd5wFPG43tXv0pv/mcFR67HL\n2JtKx2+6np037UtYc8tpeOa7JwECWaZnTlTCqKl0/ALGx+RCxnmGYUqHqYZ9LYhoMYANQojVAJYB\neJqIdkA5azKv3P0xg3hcxoG+ftywckvK7PfAvGlo9rvhcGSvF0tp/mfMoxZil6leyhW/ST1b9p2Z\n6IvEsHDFFk3TMycqYQqhnPprZEwudJxnGKZ0kN1OFs+cOVNs2LCh0t3ISW84iquf2oj1Ow+k2maN\nb8Zjl89Ag8dVwZ5VHbab4dghfothypNTDG+79YqtJvbENlR97AYiMXz3yQ1ZOvj4FTNRX+fM+zpj\naao+fvPB47xtsV3sMtnwCGEC/jqnptnPzwMyw/BCp0bIZ3pmUzRjZ3icZ5jKwdc2TaAvEtM0+/VF\nYhXqEcMwTHnJZ3pmUzRjZ3icZ5jKwacICiQWkxGKxeGvc6IvEoPX6YDTmbkG9LkceGDetKx7YdVm\nP1kWCEbjNedzkYWMUCwEr9ObepRIyvsawzD2IWl6Tve0PHLpdEAAcVmGEALPfPckHApFUV/nxKfd\nIQyvdyvGfiFqShPNRE9TWWtzox6fPQ4pa+x/+NLpOBiM4ogmHz7pCmKYz8WJdnQwEm8ck4xRePFS\nALGYjK5gtkGvyefOWMA4HBKa/W48dvmMlND5XI4ME1+tmlVlIaMr3IW2tW3Y/PlmtIxsQcecDjR5\nlDNYeq+xgDGMvVCbnsPROPoiMax4YxfOazkci1a9k9K+9rknYPtnPZhxZFOGvtaCJpqJnt421jWi\nO9LNWquD1vj8wLxpWPnWbix5eQdaxzXh4UunIxqXcevzW9PidRqIOFbV5Br3009c8vjPGIUjogBC\nsThuWLklo+ruDSu3IBTLvs3B4ZDQ4HFBIkKDx5WVfSRXFepqJhQLoW1tGzr3diImYujc24m2tW0I\nxUI5X2MYxn6kVy6XBbBwxRZ8/fjRWLTqnQztW7TqHcz6p+FZ+loLmmgmuTSVtVYfrfH5hpVK7Caf\nHwxGsXCFOl63cLxqYCTeOCaZQuArLwVQSoNerZpVvU4vNn++OaNt8+eb4XV6U3/rvcYwjH1Jat7R\nh9Vrat8Qr6smNdFM9PTW5/Kx1uZAb3w++rD61PMjmnwcrwbJN+4b3YZhkvCVlwIopUGvVs2qoVgI\nLSNbMtpaRrakrrzovcYwjL1Jat6OfQFN7TsUitakJpqJnqYGo0HW2hzojc879gVSzz/pCnK8GsTI\n2M7jP1MIvHgpAK9TMeKnV919YN40eJ2Fn2kxWsG32vA6veiY04HWUa1wkhOto1rRMacDXqc352sM\nw9ibpOa99O5naJ97Qob2tc89Aev/94ssfa0FTTSTXJrKWquP1vj8wLxpeOndz1LPh/lcWDKf49UI\nRuKNY5IpBC5SWSB62cbUmUm8TgmhmJwzkxhnGxt0tjHb/WdVOn7NopDaLYVQxXVeajJ21fqZ0j63\nA6GobEg3mcIwKduY7b6UQuNXa6zPiN3EIiUYjesm5mEGsFC2MdvFLpMNe14KQJYFukPRrAxhTT4X\nuoLRnJlJtLLmJM2sAGqqorREEvwuPwCkHo28xjCMfcmVrdEhSaivUyYp9YnJXy1popnoaSprrT7x\nuHasNvvdqSQ8tZoxtFiMxBvHJGMUQ0taIjqfiD4ioh4iOkREvUR0yOzOWY1cGcLyZSbhrDkMw9Qy\nhWRrZJhKEoxqx2r6GF6rGUMZxgoYPbXVAeAcIcR2MztjdfQykOhlIUvPTMJZSBiGqWVKma2RYczE\nSKzWasZQhrECRm8m/LzWFy6AfgYSvSxk6ZlJOAsJwzC1TCmzNTKMmRiJ1VrNGMowViDn4iVxu9j5\nADYQ0bNEND/Zlmi3JbIsEIjEIIvEo5w7aUFye69LwgM62UXyZSaptiwkspDRF+3LeGQYpjbJp6my\nLOCWqGTZGhltWJdLg8/lyBrrH5g/LWMMr9WMoVaE4772yHe9/py0v4MAvpb2XAB4vuQ9MplCTXbq\n7ReefjQevWwG6j3OjGw4zX43Hr9iZka2sf9v9nh8/4wJVZc1RxYyusJdaFvbhs2fb0bLyBZ0zOlA\nk6fJjMwgDMNYmHyamv76NV85KqWf6dkamcHDulxa3A4Jd58/BUc0+fBJVxBuVRYxrXG/msZ5u8Bx\nX5sYSpVMRKcIIV7P11YOBpuuMxCJ4btPbsD6nQdSbbPGN+PxK2ZqZrcpdPtaoC/ahwUvL0Dn3s5U\nW+uoViw9fWm5M4TYbpTgVMmFwamSrYNe7ObTSNbQ8lBmXa6a+NWiNxzF1U9tzIrZxy6fgQaPy6wu\nMkVQRNzbLnaZbIwuS5cabLM8hZrs2JSXjdfpxebPN2e0bf58MxeTYpgaJJ9GsoaWB9bl0sHJJewD\nx31tks/zMouIbgYwgohuSvt3J4CcIw8ReYjoLSJ6m4jeI6J/19jmO0S0n4i2JP5dNahPY4BCTXZs\nyssmFAuhZWRLRlvLyBaEYqEK9aj0WDV+GSYf5Y7dfBrJGloeqkWXraC9nFzCPlRL3DOFke80ghtA\nfWK7hrT2QwAuyLNvBMDpQogAEbkAvEZEfxJC/E213bNCiO8X0unBkDTZqe/P1jPZ+VwOPH75DMRk\ngSFeF3rDMbgdhDqXA8GEQdVX58x5v6ssCwSj8aq5L9br9KJjTkfWPaZVdqbDkvHLMAYoa+zm0tR4\nXIYQAs989yQEwkoF8kB/DA0Jz6AsRFVoohWoIl2uuPaqx/1DoSjcDglxISALgb6IEssOR/6bV6pt\n/LcaVRT3TAHkXLwIIV4F8CoR/UoI8XEhBxaKmSaZK9iV+JffYGMyhZrsRGJwVVfaffPvB3D0YQ34\nwW/fyWn8r8YqvBJJaPI0YenpS+F1ehGKheB1eqvKHGfV+GWYfJQ7dvU0VQhF+9TauedgEM1+Dxat\nyq2dTGFUiy5bQXuFQMa4v/D0ozHvxLFZsdzsd+dcwFTj+G81qiXumcLId9vYH4hoNYClRLRa/S/f\nwYnIQURbAOwD8BchxJsam80loneI6DkiOqK4j1EYkkSor3NCosRjDhHRq7Q7fWwTfvDbd/JW163W\nKrwSSfC7/BmP1YZV45dh8lHu2NXSVD3t/KcRDVi0Kr92MoVTLbpcae0NxTJj9+vHj9aM5XwxW63j\nv9WolrhnjJPvG74HwL0A/g4gBODxxL8AgHfzHVwIERdCTANwOIATieh41SZ/ADBOCHECgP8B8KTW\ncYjoaiLaQEQb9u/fn+9tS4qeca/eo92uNqGyWdW+VEP8MrWJFWJ3sNrJ1C6Vjl917B59WH1RBn4e\n/xnGHHIuXoQQryZuHWsRQlwkhPhD4t/FAE41+iZCiIMA1gD4hqr9gBAiknj6OIAZOvs/JoSYKYSY\nOWLECKNvWxL0bXbDaAAAIABJREFUjHuBsHa72oTKZlX7Y+f4ZWqbSsbuYLWTYSoVv+rY3bEvUJSB\nn8d/hjEHo9fWRhDR+OQTIjoKQE4lIKIRRDQs8bcXwD8DeF+1zei0p+cC2G6wP4NCrxp0PC6jNxyF\nLAR6w1HE47JSaVejKrTP5cCjl83Amz86A//7s7Ow5pbT8Mil01PG/+SxvC4pq1JvQVV4ZRmIBACR\neJQHKseqq8qGYiGuMFsirBy/DJMLq8SupnbOnwa3g7AkSxOnQSJFN7W02Vbk0GzDh1Bpe1yO10wF\ncSvEr9fpwMOXTseaW07D//7sLAzzubLG8QfmTYPX6ciaM6STTGZR9PhfaUoQy4Puguq3IAtZs42p\nLYwmLb8RwBoi2pl4Pg7ANXn2GQ3gSSJyQFkk/UYI8QIRLQawQQixGsBCIjoXQAxAF4DvFNj/gtEz\n0DV6XegKZptLm3xu+NyKkA3xuhCIxPD6R/uxYMUWtI5rwn98+wTc/Jst+PxQBEvmTwOgDMDpRtWF\npx+dqipdULYRWQaC+4HnrgR2rwfGzgIuWAb4RkAmZFWVveuUu7Bk0xLsC+3jCrODx5LxW07MKjzJ\nmI4lYtfhkNDsd+Oxy2fAX+dEIKwsSv71Vxswckgd7j5/CsY2+3AgEAEE8OoH+zDjyKYMDbaduTmH\nZkMypsVaFcPbZ7dj1Uer8Ojbj9ZCBXFLxG9/XMatz29NxeLDl05PxfKhUBQep6Q5Z0g38ReaIMhS\nlCCWB90Fjd9Cx5wOuCQXblxzY0ZbFf8eGA1ISexhYEOiOgCTEk/fT7tkW1YGW6Fcr9rzY5fP0K2o\nm2x/6d/m4M7V72Vtc+e5x+Hr969NVY0WQpSmOm8kAKyYB+xaN9A2bjYwfyX6JNKsKnvribfi/NXn\nV6rifbmxwQiQyWDjt5xYYfGy9Yqtle6CWdRM7CarlT986XRc++tNWbqYbNd7/fErZqLeLsUBc2g2\n6uoNHUKvYnhS25PPK6zvVR2/yZjVGsOn3PlnAMCWO/6PZrwWPM5blRLE8mDR+y3cOetOnP27szPa\nCvg92C52mWxyjghEdLoQ4mUiOl/10j8REYQQz5vYN1PQM9DlqqibbNcz7R19WH3q76QRryTVed0+\n5YxHOrvXA24fvIBmVdnxQ8en/uY85wzDVJqkhg7xujR1Mdmu97qtzM05NNsoehXDk9qefM76bh65\n5gNJ9OK14HHeqpQglgeL3m9hTP2YrDb+PdQW+a6xfSXxeI7Gv2+a2C/T0DPQ5aqom2zXM+3t2BdI\n/R3sj5euOm9/ULlUm87YWUB/ULeq7M6enam/ucIswzCVJqmHh0JRTV1Mtuu9bitzcw7NNko+bU8+\nZ303DyNjuF68FjzOW5USxPJg0fst7AnsyWrj30NtYfi2Masw2NtuivG8BPpjOBiM4ogmHwKRGJ58\n/e9Y8vKOlOflnpc+SHhelPuz9Yqz5StopdFZ0zwvcTmOUCwEn8uHYDQIr9MLh2SjM5wKtrv8y7eN\nFQbfNmYdio3deFxGbySGaFxGc30ddh8I4v7/+RCfH4rggXnTsPHjLswc1wSnQ0I0LuOGFVXoeXE3\nAC6PMvFz+XJ6BnJ5Xnb17MJ1067D4Q2HZ+i2LORUcb4yFemzyRcyQCHxG4vJGeP+J11BDPO5IISM\n1p++jNZxTXj88hmaBaybfG6E47L9PC5qyuB5yRe3Rj0v9512HxzkMDqfseGXwagxtHghov8F8DcA\n6wCsFUJsM7tjepRi8ifLAsFoPEtc4nEZwWgc/jon+iIx+FwOEBEO9EWwcIVKoPxu7O+NYIjXBa+G\nSGkdq6CFy0BngWhQuVSrGvjSf/h90T6EY2E0eZqwJ7AHQ91D0eCuh6TxA47LcXSFu7Bo3aKMwbHJ\n02S3BYztRIgXL4XBixfrUGzsKieMMjV0yfxp8LudcDslfNodSi1mHrl0OhySBF+djSd+GZrdB8gx\n4NnLCpoAqid1HocH/XI/+qJ9WYuaRk8jDkYOZk3wTDYw2+xLKSx+dWO2zgmPayA2hRAZ47zX6UB3\nKJp1ctRWC/AksgxEeoBgN9B4JND9MeBrBOqGlmTxorcwUcet1gIHQOrvSDyCvv4+tK1rMzqfsdkX\nwWhhdPFSB+AkALMBnALFuP+2EOJfzO1eNuWe/OkZ/NUm/UoaSvv6A1jwysIsU9vSry6B351trAv0\nB7BQY/slX12Ceo3tLYztRIgXL4XBixfrUGzsFpokpdJ6WlJKaHrOpdta7SYb+qs6fvViNl9sFruf\nJTHZsK9nxi80bouYz9gudplsjP6a4gCiiUcZwOcA9pnVKSuhZ/DXMulXCq/Lp2lq87q0jXU+ne19\nOtsz1YGZi5Gtf99tvB9HjTWtH4z1KDRJSqX1tKSU0PScS7c19Z8NzEWjF7P5YrPY/SyJyYZ9PTN+\noXHL85naxOi1v0MA7gfwdwBXCCFmCSHy1XmpCvQM/mqTfiUJRYOaprZQVNtYF9TZPqizPcMwTLEU\nmiSl0npaUkpoes6l25r6zwbmotGL2XyxWex+lsRkw76eGb/QuOX5TG1idPEyH8BaANcBWElE/05E\nZ5jXrcEjy0K3UnPGa+Eogom/9SvkZlbWvffCqXh4zQ7zquUWWNXW6/SiY3Y7Wke1wklOXD/tetz/\n1fvhdfnQ1x9AKBbKqETrdXrRnrZ966hWdMzuSHlnMraX45p94Qq3DMPokdTYuCxDArI0dMn8aXAQ\n4ZnvnoQ1t5yG86Z9yX7Vx/VI12+SFI/LuNnAlG8DCzYDV6wGIDS1NBQL6eqqnm47JAee+NoTeG3e\na9h82Wb897/8N+477T6+8jIItMb9JfOn5Y1NZb8W1X4WjWmteYZe7EpO5fGCZYrvNutQcfT1B5S4\n7Q8o8wb1Nqo5g8fhQcecjsx4ntORFbcxOYZA4tiB/gBicmY2N63fRfvsdo7/KqegbGNENAnAmQD+\nDcBhQoiyR4eR+1b1Moo1+90AkPVaesYwdVYwWVYWNd2qrCMNHidCUbn0htIiM3zIiexhHqcX3eHu\nDPOaVhYyIUQq21ggGsDy7ctT1Zsztp/djqbO/wfp1fZUX2TfcHRFusttENXCdveuVtLzYpXbxgri\nzh5zjlt5qjZ2k/q74s2PcV7L4fivzZ9i/olj0dcfz9DQp97YlcramDJDO21o0E9HS78vfFqZDIpY\nlq6na+lh3sOwcPpC3P767Zq6KgsZwWgQcRFHg7sBgWgAQha48dWBrEuLv7wYL+x8ARcccwEb9lWU\nIttYvdsJpzP3/6leQiBLoRWnFz0NxPuz2yQn4PbrZsqTEwmA2tISAHUkDPPJhEF65vzGukaE42Hd\nbGMxOYbucHdWcqFGTyOc0oDrocDsqRb7MphiMGrYXwVgGoAdAF6DchXmTSFE2NzuZWNEgHKZ5gDk\nNeCnV8gtuwFvkCY5PfN+sjqz2hCXr5pz66hWLJ3eBv9/npTqS9/FK7UTBJS/4rPtRIgXLwXCixfL\nYDR2k5p557nH4c7V76Ue9TQ3+dyWpmY1evp94VPAby7Pak/X0ufPfR53v3W3rq6qtVpv+1tPvBV3\nv3U3G/ZVFKK9veGoZjKJ9LmBrdGK0wWbgT8sLHjuYSRhULHmfJOSC9kudplsjI4UPwewSQhhixs3\n85nm8hnw0yvklt2AN0iTnJ55P1mdWW2Iy1fNefPnm+FtnpDRF90EAXyZlmFqnqRmHn1YfcZjOuma\nm3xuS1OzGj399g7TbE/X0vFDx+fUVbVW622fbGc9Lh69ZBJ+uy+uk2jFaeORRc09jCQMKtacz2Z8\nRg9D15SFEJ3JhQsRPWZulwZPLtOcEQN+eoXcshvwBmmS0zPvJ6szqw1x+ao5t4xsQejARxl90U0Q\nwAZRhql5kpq5Y18g4zGddM1NPrelqVmNnn6HDmq2p2vpzp6dOXVVrdV62yfbWY+LRy+ZRPrcwNZo\nxWn3x0XNPYwkDCrWnM9mfEaPgjwvAEBEm4QQ003qT15K43nJLD6V9LyMH+7Hd045CvUeJ/qjcURl\nAX+dE4FwDL96/e9p92ebWHRqkFVtZTmO3v4Aevp7MKZ+DPYE9sDv8uM/Ov8jw/OChDnU4/RleWQ6\nZneg0dOIQDSgVK1d/xB7XkoE3zZWIHzbmGUYjOflvJbDsWjVOxkF/3xuJ+ocEj49GEKjz4UGj8t6\n3oBCkGUg2qf4A7p2AWt+BvTuVTwvchTwD89sv2AZ5Lqh6JUj6In0YEzDGPT192H5+8uxq2cXrpt2\nHQ5vOBzBaBAepwfhWBg+lw+f9n6Kh7Y8hHFDx2HuhLkZfgD2vOiTK35jMRmhWGaxya5gP25YqSpO\n7XPn9bzYAq0ClPUjEq/FAM9QINyj+F1c/rx+W/WcQ10kezCel4Phg1nzk2GeYYjEI7r75cF2sctk\nU8zi5UUhxDdM6k9eChlAtUxzagP+vkNhDPG64HFJONDXjxtWbME3jh+JM48fnSlc8xUjvykm/ezO\np1Vo1jbJ6e5qQCQgZHSFu1MGu2umXoOLj70Y9a76LPN+++x2NLmHwOFwZfRFq+ptmRcugA1FiBcv\nBcKLF8tQaIXyYDQOr0tS9Dehw/46J3YfCOL+//kwlSBl48ddmDmuCc3+OvsuXvROOtUNVSaJ6nZZ\nAH+5HfLwY9DV+q+ZZuc5HXBJLty45saUPqsXKR1zOuB3+eGW3CldTxqVk89N1mPbfVF68RuLyZoL\nlaEeJyJxgXqPcgLTKRHqnFIqmY+t0TPsx/qBVWltc58A/CMAffO77pxDvXhWzxk8Dg+685wElYWM\n3v5eZXGfXBjVDQWA1O+jiJOntotdJpuCFy+VZrCTPyPVnrfc8X9w7a832dKsZ8QY19ffiwWv3KBh\ngnsACzXbB2WOMxPbiRAvXgqEFy+WYbCxq2eCfvjS6bj215vsbdjXM+rPWw6svDi7/awO4KFZ6Lv+\nTSzY1JGluXfOuhNn/+5sAPrG/AokSEmnauI3V1xOW/yXjDY7zAEMUYhhf95ywDNE91DFmvENzVV0\ntkn/fRh9vzRsF7tMNjlHCiL6AwDd1Y0Q4tyS98hkjFR7HuJ12dasZ8QY53X5dUxweu1sjmMYZnDo\nmaCTemtrw76eUb+uXrt9+EQAgLd5gqbmjqkfk3qez8jPDI5ccalus8McwBCFGPbzZDkt1oxvaK6i\ns03678Po+zHVRb5rbPcAuDfHP9thpNrzoVDUtmY9I8a4ULRPxwSn187mOIZhBoeeCTqpt7Y27OsZ\n9SMB7fYvPgAAhA58pKm5ewJ7Us/zGfmZwZErLtVtdpgDGKIQw34kgFwUa8Y3NFfR2Sb992H0/Zjq\nwrTbxojIA6UeTB2UKzzPCSH+r2qbOgBPAZgB4ACAi4QQu3IdN9etC+k+l3A0DlkGfHXZnhctM3+T\nz4VAJIbuYBRjm3wIRDJN+g/Mm4YmvxvhmEHPi55vRY4D/X3K2YxoSClepioAlSw46XX5EIoGIUkO\n1DnqEIqFIIFQ5/QglLi/WVLdi6q+/zTdzxKMBuGRXJAkB3r7+7IMdn63X7MgVJOnEQ7JmXHPaiQe\ngSxkw56XweybA9Mu/1Yifs2GbxuzFFUZu2qvodcpIRSTU96XqvC8JLXd5R3Q8kgAIAIC+4HGsUq7\nu37g9a5dkHf8BaFjvgbvsCMR7A/A6/KhPxZGv4gjKkfR5GlCKBYCJULj+y9/P6fnxef0weP0pAz9\nkXgEHocnpwEayPYeFKm/VRO/ep6X+jon9vVGUkUqh9crCX98dU7rFp9MkjX/8CrzjYznwUxzvqMO\niPRmeF7kC59GyOXOjBWBjGPLLi+CsVCqeGpvf6+S6MflK8rz4nf5U/Mdj8ODQDTAnhcmC6NFKicA\nuBvAZACeZLsQYnyOfQiAXwgRICIXlOKWNwgh/pa2zXUAThBCfI+I5gH4FyHERbn6oidA6YuSkUPq\ncMvXJ+IHv30nK9tYcgGjNvMLIXAgqBj21Sb9YH8cr320HwtWbDGWbUw3Y1gz0PcFsOoqoGEUcMYd\nwH9dp6q43JxhpldXvE//W13FNvX2yUxiDk9WJrH22e1ojPThYF19RvvPTv0Z7t94P84YewZO/tLJ\n8Lv8CQOoJ7VwSS6K8lWCzvrvGMS+eTBzAC1r/JYDXrxYiqqLXfWJoYWnH415J47Fyrd2V0+2saS2\nb3gSmHoh8PvvZ5qbd78FfOkE4O3fZLwuf2VRljF/8ZcXY/uB7Wg5rCVDi+865S74nX7UOevgdrjR\n29+bKlLZ4G5AMBZEPB7Hja/emKHr/wj8A1+q/1LWIkdtgDZirjZA1cRvPC4jFI0jJgsM8bpwKBSF\nxynhUCSWmg8kYzl9gWNq1tHBoDX/mPsEsPEpYG17DnP+MuUEat9+oPFIyIH96HI6spJJNMEB6dnL\nUvvFLnkO3dHerJOejZ5GOCXlNju9uPM4POgKd2WcRH1r71toW9uGlpEtWPLVJQjHwpxtjMnC6Lf9\n/wA8DCAG4KtQzng8nWsHoZC83uhK/FOvlL4F4MnE388BOCMhXAUTjMaxcMVmrN95ANeedjR+8Nt3\nsH7nAcRkgfU7D2Dhis0IRpXbEiSJUF/nhESJR4kQjMZxw4otGfvcsGIL+iJxXP3URlz7zGbNY2kS\nDSrCsWudcmZj1zrleX9QWbjsWgfMvklZuKi2CcVCaFu3CJ17OxETMXTu7cTtr9+OK6dcmfV327pF\nmpdKJZLgd/kTx2rLONaidYsQ9jdntf/otR/hyilX4qZXb8INr9yAUCyEenc9HAnxCcVCaFur7HPl\nlCtx++u3Z+zftrZN97LtYPatFOWOX4YpFZWK3XQNjskCX09kbPz68aOxaJVaj7fg0+4Qjr79Tzjt\nnjX43q835dZUq5DU9snfVBYm6fq96irgqFOVdtXrocnnZun6HW/cgdbRrVlafPvrt6OnvwcxOYar\n/nwVTl15KlqebsGpK0/FVX++ChDAja/emKXr44eNxyLVe6i1NV2Lraq/lZg7fPepjZi2+C8Yf+sf\nMW3xXxCOyRnzgWQs680pLIXW/GPVVUpMJp8Hu5WFS8Y2VyoLl6UtwOImhCIHs2K2bW0bQuGDGfuF\nRTQr7hatW4RwLJzqkl7cdYW7cPbvzsa0p6fh7N+djRtfvRGto1tT28RFPOv30bauDeFYGH6XPzXX\nqUCmU6bCGP3GvUKIv0K5UvOxEOJOAKfn24mIHES0BcA+AH8RQryp2mQMgE8AQAgRA9ADoFnjOFcT\n0QYi2rB//37N90o34utVdM5lCNUz7dV7tNtzmkuNmDeHT9SpuKxtmk+veJ/+tzeHmV6/Om3+91Cb\n39KNc4UaSAezbyUpZ/wyTCmpROyqk6EkdVhPj48+rD7juS0M+0lt19FveIdpvq5nzB/iHqJrSM5V\nXVyr3a+j60YM0FbT33LGr9bYr07aU8ycomLozT8SSSIA6JvzG49MPdWLWe/QsRltRhL9FGK8H+Ie\nyGzW4G7gJEKMJkYXL2EikgB8RETfJ6J/AXBYvp2EEHEhxDQAhwM4kYiOV22idaYk6z42IcRjQoiZ\nQoiZI0aM0HyvdCO+XkXnXIZQPdNeIKzdntNcasS8+cUHOhWXtU3z6RXv0/8O5TDT61enzf8e6jNx\n6ca5Qg2kg9m3kpQzfhmmlFQidtXJUJI6rKfHO/YFMp7bwrCf1HYd/UbooObresb8Q/2HdA3JuaqL\na7X36ei6EQO01fS3nPGrNfark/YUM6eoGHrzj0SSCAD65vzuj1NP9WI21JN5i7CRRD+FGO8P9R9K\nPe/t7+UkQowmRhcv/wbAB2AhFIPcZQCuMPomQoiDANYAUBe3/BTAEQBARE4AQwF0oQh8LgeWzG9R\n8rOv2YH/+PYJmDW+GU6JMGt8M5bMb4HPpX+WxOdy4IF50zL2eWDeNGza3VXwseDyKR6XcbOVCrXj\nZivP3T7l3tNxs4F1vwDOeyhrG6/Ti47Z7Wgd1QonOdE6qhV3nXIXlm1dlvV3x+z2nGfMPE4P2lXH\nap/dDk/fgZzv0TGnQ/PKS8ecDrSOasWyrctw1yl3ZeyvtU8p9rUC5YhfhjGDcsZuugY7JcJL736G\nB+ZNw0vvfob2uSdkaetL735mXFOtQlLbt70AfOvBTP2e+wTw99eUdtXr3m2rszR38ZcXo/OzTnTM\n7sjS4qHuofr6rdO+8+DOrHa1tqZrsR30t1xzB/XY75Qooy0ZywXNAyqF1vxj7hNKTCaf+xoVj0vG\nNssAb2POmO2Y0wGvZ1jGfh5y6cZpEr24G+oemrVf52edqecOcmge26rxypSPgrKNEdEQKLek9hrY\ndgSAqBDiIBF5AfwZQLsQ4oW0ba4HMCXNdHe+EOLCXMc1nG2sP464EPDXOdEXicHncuStjBuPywhG\n46l9XBLB7dLPXJYT3WxjMeV5XT0QiwDx6EC2GrcfkBzZ2cZISmUYG/i7TzGpRcOA2wc5GkaIxICB\nTRAklwexeBRhOQqfy5fINuaE0+GGHIsgJGLwuvxZGc30zG+5MoZJJOXc34bZxsoev2bDhn1LUZWx\nayTbWF8kBq/TgXBczkiaYgnjs55ua23j8ijbuP2ZWceS+6raZbcPoVgY3oQWe51ehGMheJwehBPt\nyWxjdY46OCQH4omxIKXfiaxidY46hGPhrHZ1tjEtXbZBtrGyx6967FeS+AChmA1iVousOPYMzDuS\nMQrkbZPdPoTUxnhVtjG4fIhBzorHpFk/1SWNuJNF9n5qI74QIuM34HV64ZAGtWi06JfGFIKxvHJE\nM4loK4B3AGwloreJaEae3UYDeIWI3gHQCeW+1ReIaDERJYtbLgPQTEQ7ANwE4IfFfQyFpBEfAujr\nV4z2x9z2J1z91EZ0BaOQ5dwLNYdDUjLeEKHB44LHrZj6fW4n6j2ZBn8DnVEEgBKPkpTIAnJAqbj8\n/NWKOW7lxcBPRiiPwS8AWYYkOeB310MSgL+/D95nLoT0kxHwL58Hb98XkJ6/Gv43HobU9wWwYh7k\n569BV6QbC15egBlPz8CClxegK9IN+flr4Pz1XNT390ESAvX9fXD++gLgJyMgPfNt+PuDynu461MD\nWC7zW/rrXqc3Vc02FAvh+r9eP/De4S7IQs67r8XNdmWPX4YpERWLXXUyFIdDgs/lQFdfNEOPu0NR\nZfJXiKaaTTJL04p5iiavmKc8lzO1DJKkLGqCB4C/PQL0fJKp431fKO13HaY8D+wD/vYIpLtGwr98\nHqS+/ah3+uBI6LxDcip6n9BDn8uXmpw5JCXlbFe4CwtfWYjWX7diwcsLcDByMJWKtt5dD6fkhN/l\nV46ZR5fTddei+lv2+FWP/USE7pANYlaP9PmHy6PEpDpG47HMtkjvwPwk0SYFD8DvUM0NVHObOAS6\nw91Y+MpCzHh6Bha+shDd4W7E5cxb6rTizik5UZ+I/fQ4Tt/GITkythnkwoWpEoymSn4HwPVCiHWJ\n56cCeEgIcYLJ/cvCyNm/QCSG7z65Aet3Hki1zRrfjMevmKksbipFJKAMiLvWAdetB/7YpvydZNxs\nYP7KgYq26dunb3NWh/J3Yv++69/Egk0d6NzbmdqsdVQrlk5vg/8/T1L2mbdcEaVc71cEfdE+LHh5\nQfZ7n740NYiaiIVHD234ykuB8JUXy1Bs7FpWj9Xo6a2WRia3PatDW8fP6gAemqX/vADdLUZjy6DL\nVR2/tolZI4QPaY/985YDPz9ioG3BZuAPCwueIwT6A1j4ysKsWFvy1SWodxc/tzAR28Uuk43RX2Fv\ncuECAEKI14go761jlUKd9QawSGaQ9Cwgetlq3D7t7dO3SWYNSbymmxWkecLAdumZzvTerwjskr2G\nsQ7jwssNb7vLvG4wZcKyeqxGT2+1NDJf1rH0zE5azwvQ3WI0lnV5cNgmZo2gN/arFyR6GcjyxGqu\nrHgMYxZGrxe/RUSPEtFpRPQVInoIwBoimk5E083sYDGos94AFskMkp4FRC9bTX9Qe/v0bb74IGN/\n3awgBz4a2Cc905ne+xWBXbLXMAxTGSyrx2r09FZLI/NlHUvP7KT1vADdLUZjWZcHh21i1gh6Y38k\nkNmml4EsT6zmyorHMGZh9LaxV3K8LIQQeWu+lAqjptH0Ss+WqYYry5AjPQiFD8I7dKxiuo8EIdWP\ngBzYj5DHrxjo041xWZVylwH+4UA0CDkeQyiSOFYsjN5oL0Z4R6A70g2f0weP04Ngfy+8QoLD7QX6\nDmRW1L1gGeBLpI/MZ1LV+0iqyrnXTL0GFx97Mepd9YbM+1Y17JsF3zZW4JWXn59dTHfsQM3ErmX1\nWI1WZfKkRib1UJaBWBgQccWQf+gzwOHMXc187hOAAOT64YlELH4Eo33wOn0Ix8NZ5nu1IVkWMoLR\nIOIijgZ3A3r7e+EgR8rzkvER0rQ1EA1g+fblePTtRweqo3uaUvsMUoct9MUZo5D4tU3M6pFu2I9H\nlXE91K1cXen+WMkq5vYBPXsG2upHQJZjA/OTnt3weoZBqhuacz4Ql+MI9AfQ09+DMfVjsCewB02e\nJhBRXuM9EWXEoDrhhJHkQbUQu0w2BWUbswJGBUid9cYKmUHUE/2WkS3o+PJP0Ljtv9E9+Wy0vfHj\ngfbkQJOe2SPcC7z5KLC2HfJXFqGr9V/Rtm4RDvMehoXTF+L2129P7X/XKXdhyaYl2Bfah/bZ7Wja\n+js4QgeBk68B6hoGFilA/gHbwOdKCk93uBtt69qyP0fagJn1f6DapgBsJ0K8eOHFS4Kail0r6rEm\nubKNyTIQ6VGMzf91XaZeuusBl1c5my05gd69yqQwEgAgQ965Dl1HzULbukUp3Vv85cXYfmA7ph02\nDYvS2ttnt6PJ05RawMTlOLrCXTm3AXS0dXYHGj2NqQlhCXXYgl9ebgqNX9vErBr1InzOImDGFZkn\nLucuA5xu4NnLUm3yRU+jK1HRfiB+lDiTcpjktU5gzp0wNyNeO+Z0wEUu3Pjqjam2+75yH6Iimnc/\ndUzWYuy8Nz4QAAAgAElEQVQy2RjNNjaSiJYR0Z8SzycT0ZXmdm1wqLPeWEF0QrEQ2ta2oXNvJ2Ii\nhs69nWh748cITb0QbW/8OLN9bZtyiT+Z2SMSAJ69BFjzU0COITT5XLStW4TOvZ24csqVuP312zP2\nv/3123HllCvRubcTi9YtQmjqhcq+Ky8ZSIUoScpA/dyViklPjimPz12ptBskmRkkHA+jbV2b9ufI\n9X+g2oZhmOrCinqsiVaWyCTRIBDsVhYuar0UQtmHJGD5hcDSFmBxE9C7B3j2MoT+aU5Kr5O6d8cb\nd6B1dCsWqdoXrVuUpZn5tklul6Wt69oQjoezsoqxDufHNjGrRj2mT/6msnBJj9lVVyqxnNYWCh/M\nHr814kyNOpbOGHtGVry2rW1DT39PRltPf4+h/QzFOcduzWH0VPevALwE4EuJ5x9CKVzJFICeidJX\nNyS/uVJluks36Y8fOl5z//FDx2e8BwDjSQGKMPIbMYmykZRhGFvi9uU3Nav1NGHo9+po/BC3dnu6\n2dmoIboQbWUdrmJ0YjCD3euVWE7DO3SsdkzkMd6rY0lvPjKmfkxG25j6MYb20yqYzbHLGF28DBdC\n/AaADABCiBgAGzrXKoueiTIYOZTfXKky3aWb9Hf27NTcf2fPzoz3AGA8KUARRn4jJlE2kjIMY0v6\ng/lNzWo9TRj6Qzoaf6hfuz3d7GzUEF2ItrIOVzE6MZjB2FlKLKcR6tmtHRN57sJQx5LefGRPYE9G\n257AHkP7aV154dhljBr21wCYC6VY1HQiOhlKxduvmNy/LCrpGcjCSDXm9M1zeF4CJ1yAnmggZXgb\nWjcUDe6G0npetq/WNqAO0vOS8/Ox5yUDO3lezKrdwp4XABy79kKOA/19ikm/bz+w6iqV56UBcHqU\nbbP8BpdD3v1Wlucl6QMAkGF2HuoeCr/bn6o0LoQo3vOio6216Buoivg1MudIerOCCYN+YD9AZNDz\nEsuM0dntaHL6Ibk8uu+n5XmZP3F+ZkzXDQUE2PPClAyji5fpAJYCOB7AuwBGALhACPGOud3LxjIC\nVMykX51trG8fvO4GCJcH3Yn7TTONlsPgCB7QzjbW3wfZ7UMoMcCFYiH09mdnG0tlpnF6IUVD+mJX\nZLaxrI9oIAsIZxvjxYtRePFiHSyjveVGjmcuWOYsGkh80rULWPMzxaCvlb0xEkjpquz2IRQLw+vy\n4dPeT/HQlocwbug4XDDhggztv/vUu3HfxvuwL7QvNSnTytSkVWm8EG2ttYxNto9fo3MOLcP+id/N\nzDbma1QSSwT2Z7TJdQ2pGA1Fg/DGo5DSFjha7ycLGb39veiJKIuVrnAXCJQ1nxnmGZaVVY+zjTHF\nYnTx8m0onpcjoFyBOQnAj4UQm8ztXjaWEaBCqjHn2Sdw8QosfOUGjQq1D6B++fy876FXTfnWE2/F\n+avPL2fF+3JjOxHixQsvXhJw7NoFrQrlRVYjV2v18+c+j7vfutuO2s3xW26MzjnU2123HvhjW/Z+\n5yxREkvoHcvg+xmN6SVfXYJ6t/5vo4zYLnaZbIwuVX8shDgEoBHAPwN4DMDDpvXKDhRjdNfZx+fy\n6xgy/YbeQ8/Alm7YZzMbwzBMEWhVKC+yGrlRczNrN5OF0TlHkYb9YpP5GI1pdYIJhhkMRhcvSXP+\n2QAeEUL8HoDbnC7ZhGKM7jr7BKN9OobMPkPvoWdgSzfss5mNYRimCLQqlBdZjdyouZm1m8nC6Jyj\nSMN+scl8jMa0OsEEwwwGo4uXPUT0KIALAfyRiOoK2Lc6cfmU+z/HzVbuHR03W3mudXZBlpUB0OVV\nPCvp+8xdBq/Ti/bZ7Wgd1QonOdE6qhXts9uVM25p7yF/9Tb0zV8O2e1DX7QPspABKGc+OuZ0ZOx/\n1yl3YdnWZWgd1YqOOR2WOnsnCznV//TPwTAMUxGSGi0Sj3KaJrn9wNwnFB2e8m3llrHGIwfa0vWf\nJO1jJFBr9V93/zVL+7W0uxyaybpscVw+4KKnlfi7o0t5vOjp7DmHywfMXwEs2gX8325g6BHZ844L\nlkGuH4G+G7ZAvqNLeVQfy+Acx0hMt89uhyeZ0KJAOC4ZLYx6XnwAvgFgqxDiIyIaDWCKEOLPZndQ\njaXuWzWa+UNtnkuaPSO9wN8eBQ58iPjZ9yJEgM/dgGB/L7yQ4Eje5xwNQnZ50ZWjer3awCaRhDpH\n3WAN8SWHs42x54U9LwA4dq2DESO0HAdiYaA/kKnlJ10DeBqUTGRyLCN7k14CF7VW1znqMozMDsmR\nod0ASqmZ2v8Fhesyx2+5MWzYj2dnxLvwacDhVBbi/Yn5RKQ7//dtMJlPvpj2OD1wSs7CP3Jp5wtJ\nbBe7TDaGFi9WwnYCpGd6m7d8wASqZ6hLM8bpmfItaubUpcSfw3YiVNH4vXNoZd5XBS9eAHDsWodi\njdDp2wGFJ3AxSDm0v4j34PgtN0bjVCvBRHLO4VGKVdtlPmFSP20Xu0w2hS+FmcLQM72lm0D1DHVp\nxrhqqSpbLZ+DYZgqoVgjtHq7Igz8RiiHZrIu2wCjcaqVYCI550hgl+/bLv1kyo9p9xIR0RFE9AoR\nbSei94joBo1tTiOiHiLakvh3h1n9qRh6prd0E6ieoS7NGFctVWXt8jk4fhm7wrFbIMUaodO3KyaB\ni0HKoZlW0mWOXx2MxphWgonknCOBlb7vXNiln0z5Me22sYQvZrQQYhMRNQDYCOA8IcS2tG1OA3CL\nEOKbRo9brku/ukWQCi3oqHWf6txlgL8ZcrgXoUiiYGU0AO/fHoX0arvmvaz57v2U5bjSz2RxKacX\nkkYRs7yfz2Ts4nmxe/xqYuJtY4XcClYIhd42VoivZ+sVWwvtTinh2C0X+TTbkOdFTnheerW3A1LH\nkBtGI3T6j+AddqS2tib6E3d5EFIV7dMrPKmlmX6Xv2S+Rit5Xjh+ddCN02YlruvqB4qi9n2R6XmZ\n+wTgGQY43bk9L3WNSjHrHPMbrbkDgLzFJtXbGIlZ9rwweph225gQ4jMAnyX+7iWi7QDGANiWc0cL\noPuDqWuEFPwiv2FOjcOtFIRKVrIlCXLnMnQddy7a3vpJRhXaptk3K+KhEg2JJDR5mrD09KVZP35Z\njiv9Xbco7Vjtyg+8gMGwlAZQPXJ9Dith5/hlahuO3TSMLEwkSXk+f6X2pC15jA1PAjOvyNRyhzvj\nGPLFv0FXPKivrYljxXe/ia5xs7AoTbPbE5qtXsBoaWZMjuH6v15fMv22ki5z/OqgGace7YWKf7ji\ncUkuaIiAZy5IbSNdsAxNvuGZ37fDk3d+ozV3uO+0+xCVo6m2a6Zeg7kT5mbEdsecDrgkF25cc2NB\nMWuluGSsRVkigIjGAWgB8KbGy7OI6G0i+hMRHVeO/uQjFAuhbW0bOvd2IiZi6Nzbiba1bcqlyueu\nVIxwckx5fO5K5ayeHtGgkoFmaQuwuEl5fO5fEZp6Edpevy3zPda1IRQPK4KjsRiSSILf5c94TPV3\n3SLVsRbpXlrN+fnKgN7nsCp2i1+GSVLzsRsNGtNsSVJ0l6Rs/U0eY/I3lcd0LX/2soFjSRJCJHJr\na+JYofFzsEil2YtyaLZaK29cc2PJ9duKulzz8atGHaf9QWXhkh7fq65S2j1DlO1IAlbMz/oNSNFQ\n5vcdzT+/0Zo79ER6MtrOGHtGVmy3rW1DT6SnqJi1Ylwylcd0wz4R1QNYBeDfhBCHVC9vAnCkECJA\nRGcB+C8AEzSOcTWAqwFg7NixJvc4h0nMZdAwl46Oyc5bN6RkRjSvy6ffX63t2QRnGDvGL8MAHLsA\njJucjRyjFIlVEsfy6ei/kSrktaLfHL8GMGDOL1lCCmjH3pj6MRlt44eO14zPMfVjstqqLWaZ8mHq\nEpaIXFDE5xkhxPPq14UQh4QQgcTffwTgIqLhGts9JoSYKYSYOWLECDO7DCCHSSxahClTx2QXihwq\nmREtFA3q91drezbBGcKu8cswHLsJSmGkTx6jFIlVEscK6ui/kSrktaDfHL8GMWDOL0lCigRasbcn\nsCejbWfPTs343BPYk9VWTTHLlBczs40RgGUAtgshfqGzzajEdiCiExP9OWBWn4yiVbE+VaXeQMXZ\nDLSq1J7/GLxvP4uOL/9E+z2K6a+qom3H7HbdY+X8fAwAe8cvU9tw7KahWyXcq0zwhKw8yqqq3bI8\n8LqQgct/D3iagPMezqn/ebU10R/vzrWaVciNaHC16zfHbw7kuFLHRcjKo9unJABKj8m5y5RilEl0\nfwOqeYuB7bRib2jd0Iy2v+7+a1Zsd8zpwNC6oVUbs0z5MTPb2KkA1gHYCiA5MvwIwFgAEEI8QkTf\nB3AtgBiAEICbhBBv5DpuWTKGyDLkSA9C4UQmsJ7d8HqGQapLZGsqKNtYQmxC3QMmT28j4GmAHOtH\niERJjGh2yTZWYszMeGPf+NWDs41lUMXZxqovdgdDVrYxL5DLmKxl8v/Wg8DbvwFO+i5AjgG/gcFs\nTIPJNqb5kSqv3xy/5UaOA337Veb8ZUpcB/YPzC98jUDd0OyMekbmLQa2K2e2MZPgbGNVgGmLF7Mo\niwAZrWRrBAPVbpmisZ0I8eKlMBqO/WFB2/du/7nhbQtdGJUYjt1KkU/f9V4/qwP4Y1tx40D1wfFb\nbvTmEucsUZJHpLdxjObCdrHLZGO7U+1loRQmzyRGDHUMwzBMecin73qvJw37xYwDDDNY9OYSjUdm\nt3GMMlUOL160KGW1ZCOGOoZhGKY85NN3vdeThv1ixgGGGSx6c4nuj7PbOEaZKsf0VMlWQJYFgtE4\nfG4Hgv1x+FwOSFKOK4dJ41rynuc5i4CTr1HOZkQC+X0u6bj9StEodRGpdENdKTB6TyvD2IhCbgNj\nrEfB2lsOXD7goqeBYHemTyBpTFbrf7rn5YJlSt0MIWsXs2QNrloqHstuP3Dh09n+WYJyq1i6f0tt\nxpfjQH/fwG2Rbj9g0F/FMFak6hcvsixwoK8fC1dsRueuLrSOa8KS+S1o9rv1hSe9kq3Lq1SwXXmJ\nfoXmnJAiFBc9DXiGAuEeJZNHKW+7NFJFmmEYpowUpb3lIt4P/GFhpl4mUVcyT072Zl2rFO9bfmG2\nzgKswVWMNWKZAFkjbn3DB2JVa9GsafR/AvCP4AUMY1uqXlWD0TgWrtiM9TsPICYLrN95AAtXbEYw\nGs+9Y7KSbTQErDJQoVmPaFCpbts+Dvj3RuVxxXzj+xt9DyNVpBmGYcpE0dprNkb0Mr2SuWdIYpJH\nwLOXae/HGlzVWCKWdWMsNBCrdfXZi+X+PmXhkr7fqquUdoaxKVV/5cXndqBzV1dGW+euLvjcBs84\nDNa8X0rzfyXfg2EYpgAGrb1mUaxe5tuPNbhqsUQsFxu3nDSIqUKqfvES7I+jdVwT1u8cqF/VOq4J\nwf446usMfPykeTM9PWHSEGfkxz/Y/Y1QjvdgrImJ6Y8ZZjAMWnvNoli9zLVf8m/W4KrEErFcbNwm\njf7q/SIBLtfA2Jaqv23M53JgyfwWzBrfDKdEmDW+GUvmt8DnMnjGxGh1WpP2l+U4+voDkIWsPMrx\n9BcTCQS82VV2C+kjwzBMiRm09ppFsZqcNPov2Azc0aU8XvS00q53TEoUvdRAFjL6on0Zj4w1sUQs\nFxu3yaRB6fvpJA3KOd9gGAtRE0UqB50lZLBZZIrcX5bj6Ap3oW3dImz+fDNaRragY3Y7mjxNkECZ\nBtFkRrS6hlrKdGO7YlMlL5RmkSsvZhWpNBMuUlkYFdFesyhGk/MlRpFlINqnTAq7dgFrfgb07tU0\n7stCVrR9bduAts/pULS9MlXHC8UCX2JhDFZ7Kx7LsgxEerKz5NUNNRC7+bON5ZxvVJex33axy2Rj\nC5UcLJJEqK9zQqLEY6GCk27e1DLEmbR/KBZC27pF6NzbiZiIoXNvJ9rWLUIoFso27635qZIRLXkJ\nufoXLgzDWJxBa69ZFKPJ+Uz5kgSAgCfPVSqeb/2trnE/FAuhbW1bpravbVO0nbEkFY/laFBJGLG0\nBVjcpDw+e5mxpBCSQ7lFLCMBRSY55xsMYzGq3vNiZ7wuHzZ/vjmjbfPnm+F1sUGUYRimrBgxTBs0\nVXudXm1td3pL2WOmmjA5MU/e+QbDWAg+PW9hQtEgWka2ZLS1jGxBKBrMXyWaYRiGKR1GNNegLodi\nIW1t57PcjB4mj/k55xsMYzF48WJhvE4vOma3o3VUK5zkROuoVnTMblfOzg02kQDDMAxjHCOaa1CX\nvU4vOuZ0ZGr7nA6+8sLoY/KYn3O+wTAWg28bszCS5ECTpwlLv7oEXpcPoWgQXqd3wDyXXgW6dkz6\nDMMw5UeS8muukW0ASCQp2n76UnidXoRiIUXb7WHWZyqBwdgq/vB55hsMYyF48WJxJMkBv1vJ4Z58\nTHtxIL871xJgGIYxFyOaa1CXJZLgdynpapOPDJMTk8f8nPMNhrEQfJqHYRiGYRiGYRhbwFdeGMZi\nTHlyiuFtt5rYD4ZhGIZhGKth2pUXIjqCiF4hou1E9B4R3aCxDRHREiLaQUTvENF0s/rDMIXA8cvY\nFY5dxs5w/DIMkw8zbxuLAbhZCHEsgJMBXE9Ek1XbnAlgQuLf1QAeNrE/xSPLSlVakXiU5Ur3iDGf\n6olfptbg2C0U1ngrwfGrB8cpwwAwcfEihPhMCLEp8XcvgO0Axqg2+xaAp4TC3wAMI6LRZvWpKGQZ\nCO4HVswDfjJCeQzuZ9Gocqomfpmag2O3QFjjLQXHrw4cpwyToiyeFyIaB6AFwJuql8YA+CTt+aeJ\nts/K0S9DRIPAc1cCu9Ypz3etU57PX8kZvmqEcsfv1r/vHszuDJPC1tpbLljjLQvHbxocpwyTwvRs\nY0RUD2AVgH8TQhxSv6yxi9A4xtVEtIGINuzfv9+Mburj9gG712e27V6vtDNVj+3jl6lZOHYNwhpv\nSTh+VXCcMkwKUxcvROSCIj7PCCGe19jkUwBHpD0/HMA/1BsJIR4TQswUQswcMWKEOZ3Voz8IjJ2V\n2TZ2ltLOVDVVEb9MTcKxWwCs8ZaD41cDjlOGSWHabWNERACWAdguhPiFzmarAXyfiFYCOAlAjxDC\nWpd9XT7ggmXK5dnd6xWxuGCZ0s5ULVUTv4wu437436Ycd9fPzzbluEbh2C0Q1nhLwfGrA8cpw6Qw\n0/NyCoDLAGwloi2Jth8BGAsAQohHAPwRwFkAdgAIAvhXE/tTHJIE+EYo95W6fcpZDpdPaWeqmeqI\nX6YW4dgtBNZ4q8HxqwXHKcOkMG3xIoR4Ddr3paZvIwBcb1YfSoYkDRji2BhXE1RV/DI1BcduEbDG\nWwaO3xxwnDIMgDIY9hmGYRiGYRiGYUpBWVIlMwxjDuPCyw1vu8tzsWnHZhiGYRiGKQe8eGEYhmEY\nhmFqlo0bNx7mdDqfAHA8+K4kqyADeDcWi101Y8aMfekv8OKFYRiGYRiGqVmcTucTo0aNOnbEiBHd\nkiRl1Qxiyo8sy7R///7Je/fufQLAuemvkeJ7sw9E1Avgg0r3owIMB/BFpTtRIfQ++xdCiG+UuzOD\ngYj2A/g4z2Z2/q6578ao1tgtJVaOJav2rVz9qob4tep3aATue/Foxu7bb7+9c8qUKbxwsRiyLNPW\nrVsbp06dOj693Y5XXj4QQsysdCfKDRFtqMXPDVTXZxdC5K2UZufPy32vXozEbimx8vdh1b5ZtV9W\nQB2/dv6/4r6bgsQLF+uR+E6ybuPj+/oYhmEYhmEYhrEFvHhhGIZhGIZhGBtx0003femOO+4YWel+\nVAI7Ll4eq3QHKkStfm6g9j67nT8v950pFVb+PqzaN6v2y4rY+f+K+87UNLZbvAghajLwa/VzA7X3\n2e38ebnvTKmw8vdh1b5ZtV9WxM7/V9z32uTBBx9sPuaYYyZPnDhx8nnnnXdU+mv33nvv8OOPP/7Y\niRMnTv7617/+T729vRIA/PKXv2ycMGHCcRMnTpw8c+bMiQCwYcMGz5QpU46dNGnS5GOOOWby1q1b\n6yrxeQaD7RYvDMMwDMMwDFMrbNiwwXPPPfeMfvXVVz/84IMPtj366KO701+/5JJLut99993tH3zw\nwbaJEyeGlixZMhwAfv7zn4/+85///OEHH3yw7cUXX9wBAEuXLh1x3XXXff7+++9ve+edd7YfddRR\n/ZX4TIPBVosXInIQ0WYieqHSfSknRDSMiJ4joveJaDsRzap0n8oBEd1IRO8R0btEtIKIPJXuk1kQ\n0RFE9Eri+32PiG6odJ+MQkQeInqLiN5O9P3fK92nQqlVbbEiVv8tWDFWanWMKBYi+gYRfUBEO4jo\nh5Xuj1GI6JdEtI+I3q10XwrF6r9rq/PSSy8NOeecc7pHjx4dA4CRI0fG01/fuHGjd8aMGROPOeaY\nyatWrWp+7733PAAwc+bMwCWXXDLu3nvvHR6LxQAAs2bN6rv33ntH33bbbaM++ugjd319ve2yrNlq\n8QLgBgDbK92JCvAAgBeFEJMATEUN/B8Q0RgACwHMFEIcD8ABYF5le2UqMQA3CyGOBXAygOuJaHKF\n+2SUCIDThRBTAUwD8A0iOrnCfSqUWtUWK2L134IVY6XmxohiISIHgP8EcCaAyQDmWyy+cvErALaq\nr5OG1X/XlkYIASLSXWRcffXVRz344IO7P/zww22LFi36RyQSkQBg+fLlu++6665/fPLJJ+5p06Yd\nt3fvXsf3vve9rt///vc7vF6vfOaZZx6zevXqhvJ9ktJgm8ULER0O4GwAT1S6L+WEiIYAmANgGQAI\nIfqFEAcr26uy4QTgJSInAB+Af1S4P6YhhPhMCLEp8XcvlMnHmMr2yhhCIZB46kr8s82ZnFrVFqti\n5d+CFWOlxseIYjgRwA4hxE4hRD+AlQC+VeE+GUIIsRZAV6X7UQxW/l3bgW984xuHVq9e3bR3714H\nAHz++eeO9NeDwaA0duzYaCQSoZUrVzYl29977726008/ve/+++//R2NjY2znzp3ubdu2uY899tjI\n7bffvu9rX/vawS1btnjL/XkGi52KVN4PoA2A7VaIg2Q8gP0A/h8RTQWwEcANQoi+ynbLXIQQe4jo\nHgC7AYQA/FkI8ecKd6ssENE4AC0A3qxsT4yTOJu5EcDRAP5TCGGbvqN2tcXyWPC3YMVYqckxYhCM\nAfBJ2vNPAZxUob7UJBb8XVuemTNnhm+++ebPZs+ePUmSJHH88ccHjzzyyJRX5Yc//OE/TjzxxGPH\njBnTf+yxxwYDgYADAG688cbDd+3aVSeEoFNPPfXQySefHLrttttG/fa3v212Op1ixIgR0bvvvtt2\nJ4ZJCOufICWibwI4SwhxHRGdBuAWIcQ3K9ytskBEMwH8DcApQog3iegBAIeEED+ucNdMhYgaAawC\ncBGAgwB+C+A5IcSvK9oxkyGiegCvAvipEOL5SvenUIhoGIDfAVgghLD8fdm1rC1Wx2q/BavGSq2O\nEcVCRN8G8HUhxFWJ55cBOFEIsaCyPTNGYuL/QuJ2atthtd91krfffnvX1KlTv6h0P5hs3n777eFT\np04dl95ml9vGTgFwLhHtgnKJ93QiqupJbBqfAvg07Uz2cwCmV7A/5eKfAfxdCLFfCBEF8DyAL1e4\nT6ZCRC4oC7ZnrCTqhZC4XWUN7HNfdi1ri2Wx6G/BqrFSq2NEsXwK4Ii054ejim9JthIW/V0zNsQW\nixchxK1CiMOFEOOgmLZfFkJcWuFulQUhxF4AnxDRxETTGQC2VbBL5WI3gJOJyEdEBOVzV60JNfEZ\nlwHYLoT4RaX7UwhENCJxxQVE5IWy8Hy/sr0yRi1ri1Wx6m/BqrFSw2NEsXQCmEBERxGRG8p3ubrC\nfap6rPq7ZuyJLRYvDBYAeIaI3oGSzelnFe6P6STOIj4HYBOArVBitZqLW50C4DIoZ3O3JP6dVelO\nGWQ0gFcS8dkJ4C9CCMukkWVsh51/C5Wi5saIYhFCxAB8H8BLUE6I/UYI8V5le2UMIloBYD2AiUT0\nKRFdWek+FQD/rpmSYQvPC8MwDMMwDMOYAXterIudPS8MwzAMwzAMw9Q4vHhhGIZhGIZhGMYW8OKF\nYRiGYRiGYSqIz+dr0XutpaVlklnv+8Mf/nCUWcc2C168MAzDMAzDMIzFiMViAIDNmzeblsFzyZIl\no806tlnw4oVhGIZhGIZhDCLLoikQiU2RhZgRiMSmyLJoKtWxX3jhhYaTTjrpmHPOOeeoiRMnHgcM\nXJX5+OOPXTNnzpw4adKkyRMmTDjuxRdfrFfvv2HDBs+UKVOOnTRp0uRjjjlm8tatW+sA4KGHHmpK\ntl988cVHxmIxXHfddWMikYg0adKkyeeee+5RAHDnnXeOnDBhwnETJkw4bvHixYcBwKFDh6TTTjvt\n6IkTJ06eMGHCcY8//ngjANxyyy2jjz/++GMnTJhw3Pz584+UZblU/w05cZblXRiGYRiGYRjG5siy\naDrQFzly4YotUueuLrSOa3IvmT/tyGZ/HSSJukrxHu+8845/8+bN702aNKk/vf2Xv/xl0xlnnNHT\n3t6+NxaLobe3N+sixNKlS0dcd911n1977bVd4XCYYrEYNm3a5HnuueeaNmzY8H5dXZ249NJLxz7y\nyCPNDz300J5f/epXh73//vvbAGDdunW+5cuXN2/cuHG7EAIzZsw49owzzuj96KOP6kaNGhVds2bN\nDgA4cOCAAwB+8IMf7Lvnnns+A4DzzjvvqJUrVw69+OKLe0rxf5ALvvLCMAzDMAzDMAYIRuNjFq7Y\nIq3feQAxWWD9zgNYuGKLFIzGx5TqPU444YQ+9cIFAE4++eS+FStWDL/pppu+9NZbb3kbGxuzLnXM\nmjWr79577x192223jfroo4/c9fX14sUXX2x49913fVOnTj120qRJk1977bUhO3furFPvu2bNmvqz\nzjrr4JAhQ+ShQ4fKZ599dvcrr7zSMH369NC6deuGXHvttWNefPHF+ubm5jgA/OlPf2o44YQTJh1z\nzDDteeAAACAASURBVDGT33jjjYZ3333XW6r/g1zw4oVhGIZhGIZhDOBzO9yduzIvsHTu6oLP7XCX\n7D18Ps37r84888zA2rVrPxgzZkz/d77znaMefPDB5qeeemrYpEmTJk+aNGny2rVrfd/73ve6fv/7\n3+/wer3ymWeeeczq1asbhBD07W9/+8D777+/7f3339+2a9eud3/xi1/8Q318vdqPJ5xwQmTTpk3b\npkyZErrtttvG3HLLLaODwSDdfPPNRz7//PP/++GHH2679NJLvwiHw2VZV/DihWEYhmEYhmEMEOyP\n97eOy7S4tI5rQrA/nnWlpNR8+OGH7jFjxkRvvvnmLy699NIvNm3a5Lv88ssPJhclc+bMCW7bts19\n7LHHRm6//fZ9X/va1w5u2bLl/2fv/eObqLL//9fNrybpD2ihgMBWqAKlCKVSwKpFAXeVFdC3ZRUU\n0P2o4Kogi/uGxTfrl0X8Ae6CFtQ3K6wryMKuwCqiLG9/IagoFAqigsjvFZEWCrRN0ubX/f4xmXQm\nmaRpO2kyyXk+Hnm0mdw7c9ucOXPvOfecY7nllltqNm/enHn69GkDAJw9e1Z/+PBhEwAYDAbe0NDA\nAGDEiBF17733Xvva2lpdTU2N7r333sscPnx47YkTJ4zp6enehx9+uHrGjBln9+3bZ7Xb7ToA6NKl\ni/vSpUu6d955JzPaf78IxbwQBEEQBEEQRARYjfrTZRMGSmNeUDZhoNdq1J+O9rW3bt2aXlZW1sVg\nMHCr1epZs2bN8cA2q1evznrzzTc7GAwGnp2d7Xr22Wd/7Ny5s2fu3LmnR44c2dvr9cJoNPKysrJT\nvXv3dt5zzz1Vffv2zb/qqqvsmzZtOn733Xefv/rqq/sCwKRJk6quu+46x4YNGzLmzJnTXafTwWAw\n8Jdffvlkx44dPffcc09Vfn5+v+7duzsLCgps0f77RVgoFxFBEARBEARBJDr79+8/UVBQcC7S9l4v\nz7K7PN2sJr3J7vQ4rUb9abWC9Qk5+/fv71hQUNBDeow8LwRBEARBEAQRITodq05LMVQDQFoKTaXb\nGop5IQiCIAiCIAhCE9DihSAIgiAIgiAITUCLF4IgCIIgCIIgNAEtXgiCIAiCIAiC0ASaW7zccsst\nHAC96MWhQUh+6eV7aQ6SXXpJXpqD5JdevheRAGhu8XLuXMSZ7Agi7iD5JbQKyS6hZUh+iXjHarUW\nhvqssLAwry3HosQNN9xw5blz5/TN7Tdz5syuTz75ZGc1x0L53QiCIAiCIAgiznC73TAYDKioqDjU\nFtdzuVwwGo2Kn33yySdHYj0GEc15XgiCIAiCIAgiZni9WWio7Q/uHYSG2v7werPUOvXmzZvThw4d\n2nvMmDE9+/Tp0w9o9MqcPHnSWFRU1CcvLy+/V69e/f7973+nBfYfMGBAXnl5uVl8P2TIkD47duyw\n1tTU6H71q1/1uOqqq/r27ds3/4033mgPAGVlZR1GjRqVO2LEiCtLSkp6h7pGt27d+p85c8YAAMuW\nLevQu3fv/D59+uTffvvtPQHg8OHDpuLi4t69e/fOLy4u7v3999+bAsf2+eefWwoKCvJ69+6d//Of\n//yKqqoqvTjGRx99tNvgwYP7LFiwoEkvTcwXL4yxPoyxfZJXDWNsRqzHRRBNQbJLaBmSX0KrkOwS\nMcXrzYK96nKsnWDCU9nA2gkm2KsuV3MB89VXX6U+//zzp48ePfqN9Phf//rXrJEjR146dOjQtwcP\nHvxm6NCh9sC+paWl1WvWrMkChMVOZWWlsaSkxP7EE09cNnz48Jqvv/764I4dO76bO3du95qaGh0A\n7N27N23t2rXHv/jii8NNXaO8vNz8pz/96bJPPvnk8Hffffft8uXLTwHAQw89lHP33XefP3z48Ld3\n3XXX+d/85jc/Cxzbfffd1/OZZ5754fDhw9/269fPMXv27K7iZxcvXtTv3r37uz/+8Y9nm/r/xHzx\nwjn/jnM+kHM+EMAgAHYA/4rxsAiiSUh2CS1D8ktoFZJdIqa4bN2w/n4dTuwAvG7gxA5g/f06uGzd\n1LrEgAEDbHl5ec7A49dcc41t7dq1HWfOnNl1165dlszMTG9gm8mTJ1/YtGlTJgCsWrUqc8yYMRcA\nYNu2bRlLliy5LC8vL//666/v09DQwI4cOWICgJKSkprOnTt7IrnG1q1bM8aMGXPhsssucwOA2K+i\noiJ1ypQp1QDwm9/8pnrPnj0yr9D58+f1tbW1+ltvvbUOAB588MHzX3zxhb/NhAkTqiP9/8R88RLA\nSABHOecnYz0QInp4uRc2l032MwHQnOwm6PdAtAzNyS9B+CDZTWDi8jllSjXh1E75sVM7heMqYbVa\nFf/QUaNG1W3fvv27bt26Oe+7776ey5Yt67Bq1ar2eXl5+Xl5efnbt2+39uzZ09W+fXv3l19+adm4\ncWPWpEmTqgGAc47169cfOXTo0LeHDh369syZMweuvvrq+sDrKV1DOgbOORhjqmduS09Pj/jLjbfF\ny3gAawMPMsamMMbKGWPlVVVVMRgWoRZe7kV1fTWmfTQNg1YPwrSPpqG6vjo+FFLrUJRdID7lN4G/\nB6JlkO4ltIqmdC8ROXH7nHLanMgplh/LKRaOR5nDhw+bunXr5nr88cfPTZw48dzevXutkydPvigu\nSIYNG2YHgHHjxlU/88wzXWpra/VDhgxxAMDw4cNr/vznP3f2eoX/32effWaJ9BrSz2+55ZaaTZs2\nZf300096ADh79qweAAoLC20rVqzIBIDly5dnFRUV1Un7dejQwZORkeERY2hWrlzZobi4WNYmUuJm\n8cIYMwEYC+DNwM8453/hnBdxzouys7PbfnCEajjcDszaPgu7f9oNN3dj90+7MWv7LDjcjlgPrcWE\nk10gPuU3Eb8HomWQ7iW0ihZ1LxE5cfucMqaexriVXvQoAXQGoEcJMG6lF8bU09G+9NatW9Pz8/P7\n9e3bN//tt9/OnDVrlmJ8yMSJEy+8++67Wbfddpt/K9Zzzz33o9vtZmIg/ty5cxW3uTV1jaKiovrH\nH3/8TElJSV6fPn3yH3744Z8BwCuvvHJq9erVHXv37p2/du3aDi+//PJ/As/92muvHZ89e3b33r17\n53/11VeW55577seW/B8Y5/FRs4cxdhuARzjnvwjXrqioiJeXl7fRqAi18XIvBq0eBDd3+48ZmAF7\nJu2BjjV7Lc1UHVwLiVR2gfiRX5W/B6L5xIXsAqR7iRYRF/KrRd1LRE6UnlOKsrt///4TBQUFkRcD\n8nqz4LJ1gynVBKfNCWPqaeh0EcdsEJGzf//+jgUFBT2kx+JpljIBIVy/ROLgcDtQ2Fleh6mwc2Hs\nLSmtQ3Oym6DfA9EyNCe/BOGDZDeBievnlE5XjZT0A2C6PUhJP0ALl7YlLopUMsasAH4OYGqsx0JE\nF4vBgiU3LsGlhkvoltYNp+tOo11KO1gMilsv4x6tyq7FYMGiYYswa/ssVJytQGHnQiwatijoe/By\nLxxuBywGi/+nVjwzWh57W6FV+SUIkl1tEYk+Dmxj1psjek4RyUdcLF4453YAHZpsSGgezjlcHhfm\n7ZzXqIxKFoFzHicbEZqHVmVXx3TIMmdh6YilIR8mYrBk4IMjy5wV94sALY+9LdGq/BIEya52iEQf\nh2qTmZIZ9jlFJCckAUSbIKY5dLgdmLUjIABvRxwE4CUhOqZDqjFV9lNKc4Il4y2dZdwGehIEQSQZ\n4fSx+Lywu+yKbeo99WGfU0RyEheeFyKxkVpUVvxiBSrOVsg+rzhbAavRGqI3ESssBovid6W0tSze\nvByRjp1Qlx6/f7dZ7U88d2uURkIQRLwQTh8/8H8PoOJsBconlZPOJiKGlrBE1JFaXWqcNYoBeHaX\nPUajI0IRabBkPHo54jrQkyAIIokIpY9/qP3B/9w4dvEY6WwiYmjxQkQdqdXl3aPvYmHJQgzuMhgG\nZsDgLoOxsGQhWVfiEDGoX/pdKQVLxqOXI9KxEwRBENEllD5+ed/L/javHngV86+dn9Q622q1Fob6\nrLCwMK+151+zZk27J554oktz+0Vy7bvuuuvyPXv2mFs2suZD28aIqCNaXXb/tBvP7X4OALDkxiVI\nN6XD7rLDYrBAr9MDoAxR8UQkQf2A/PsVES1mqcbUth42AGHsmSmZKBteBqvR6pczkiWCIIi2RUkf\nG3QGVDoq/W22HN+C3Ha5/jb0/Bdwu90wGAyoqKg41Npz3XPPPZcAXAo87nK5YDQaQ/aL5Nr/+Mc/\nTrZudM0juaWCaBMCrS4f/udDuLwuAECaKU22cKmur8a0j6Zh0OpBmPbRNFTXV8c8+DuZaSqoH4hP\nL4eXe3Gh4QKmfzwdg1YPwvSPp+NCwwWSJYIgiDZGSR/Xueqw5MYlsufGuN7jYDVaNRGc7+XeLJvL\n1t/LvYN8P7PUOvfmzZvThw4d2nvMmDE9+/Tp0w9o9MqcPHnSWFRU1CcvLy+/V69e/f7973+nBfYf\nMGBAXnl5ud8LMmTIkD47duywlpWVdZg8eXIOAJSWlvZ44IEHug8dOrT3ww8/3P3HH380XHvttb3y\n8/P73n333Zd37dq1/5kzZwzSa2/evDl9yJAhfW655Zbcnj179hs7dmxPr9frv8b27dutALB+/fqM\n/Pz8vn369MkvLi7uDQAff/yxtbCwMK9v3775hYWFefv3709pzf+IPC9Eq2nKW9IcC74YOwHAHzux\ndMTSmFnwiWCUvu9Ivt+2hGSJIAiibWhqDhBOH8fTcyNSvNybVV1fffms7bN0viQ1pkXDFl3uS1Kj\nSrHKr776KrWiouKbvLw8p/T4X//616yRI0deWrhw4U9utxu1tbVB/7DS0tLqNWvWZBUVFf148uRJ\nY2VlpbGkpMReUVEhsygePXrU/Nlnnx02GAyYPHlyzg033FD77LPP/rR+/fqMtWvXdlQa18GDBy37\n9u071qNHD9egQYPy3n///bSbb765Tvz8xx9/NDz66KM9tm3bdigvL8959uxZPQAUFBTU79q165DR\naMRbb72VPmvWrO5bt2492tL/T/xLCRHXROotidSCH2+xE4ScUN83gLhKZ0myRBAEEX0imQOE08fx\n9NyIFIfb0W3W9lm6gCQ1Oofb0U2tawwYMMAWuHABgGuuuca2du3ajjNnzuy6a9cuS2ZmZtB2gsmT\nJ1/YtGlTJgCsWrUqc8yYMReUrnHHHXdcMBgEH8auXbvS7r333moAGDduXE1GRoZHqU///v1tV1xx\nhUuv16Nfv372o0ePmqSfb9u2LXXIkCG14tg7d+7sAYDq6mr9L3/5yyt69erVb9asWT87fPhwq+Jj\ntCEpRNyiZqYpyhAV/8RjZjElSJYIgiCiTyTPhETTxxaDxRRiMWYK0aXZWK1WxT3Oo0aNqtu+fft3\n3bp1c9533309ly1b1mHVqlXt8/Ly8vPy8vK3b99u7dmzp6t9+/buL7/80rJx48asSZMmKXqD0tLS\n/NfgnEc0rpSUFH9DvV4Pt9stKy/OOQdjwRXHZ8+e3e2GG26o/f7777955513jjidzlatP2jxQrQK\nNS3c8Rg7QcjRikeDZIkgCCL6RPJMSDR97HA7nCEWY0GeErU5fPiwqVu3bq7HH3/83MSJE8/t3bvX\nOnny5IuHDh369tChQ98OGzbMDgDjxo2rfuaZZ7rU1tbqhwwZ0uQqcciQIXWrV6/OAoCNGzdm1NTU\n6FsyvuHDh9u+/PLL9EOHDpkAQNw2VlNTo+/evbsTAJYvX664Ja05UMwL0SKke1zfvv1tLNu3DFuO\nb8GonqPw6MBHAQA2l01xD2uo/bGRxsYQbUfgd6VjOsXMYg2eBni5t82+N7XirAiCIIiWo5RtcmrB\nVNhddlnWsJbq40gykLZ1llKLwXJ60bBF0pgXLBq2yGsxWE5H7aI+tm7dml5WVtbFYDBwq9XqWbNm\nzXGldhMnTrzwhz/8Ieexxx77MZLzPvfccz+OGzcuNz8/P7O4uLguOzvb1b59e8WtY+Ho2rWru6ys\n7MR//dd/Xen1etGhQwfX559//v3s2bN/euCBB3qWlZV1KSkpqWnueQNhkbqK4oWioiJeXl4e62Ek\nNUoV1RdctwDbTm3DjTk3Yu5nc0NWWle5GnuwbzLO0ZL8hvqujDojfrvtt/5jS25cApfXpdZ32uJx\nRet6USIhZbfH799t1jlPPHdra4ZExI6ElF+i+QTq46kFU1HaqxSzd8xutX6ORNe34HmgKLv79+8/\nUVBQcK4ZY8tyuB3dLAaLyeF2OC0Gy2m1gvVjgcPhYAaDgRuNRnzwwQepjz766OWHDh36NtbjAoD9\n+/d3LCgo6CE9FhdPesZYe8bYesbYIcbYQcZYcazHpDW83Aubyyb7GS0cbgfWH16POUPmoHxiOeYM\nmYNNRzdh7JVjMfezuU3ufdVCzESkJLLshvquDDoDlo5Yij2T9mDpiKUw6AwRfadKMtoSuU00GYol\niSy/RGJDshsfSGu47Jm0BxP7TsTsHbNVi4ONJJ4mFs8DHdNVpxpTD+iYbo/vp2YXLgBw5MgR04AB\nA/L79OmTP2PGjJzly5efiPWYwhEv28ZeBPBvzvk4xpgJgDXWA9ISbW2JNuvNGJ07Gk9+/qT/evOv\nnQ+r0RrR3lctxEw0g4SV3XDflShXqcZUeLm3ye80Ui9OJHKbgDIUSxJWfomEh2Q3DhBruIi6vXxS\nuapxsEk4p4gJ/fv3bzh48GBceFoiIeaeF8ZYBoBhAFYCAOfcyTm/GNtRaYvWWh4itX6LnzvcDjz5\n+ZOy6z35+ZOwu+xNZhRJpKwjiS67kX5XkbRT8tatP7welxouNVtuE0mGYkmiyy+RuJDsxg+B849j\nF49FrJ+bmns43A5MLZiKjWM3Yt+kfdg4diOmFkyVnSvUvMPusjf3T/F6vV7NbYdMdHzfSdCkNOaL\nFwC5AKoAvMYYq2CMrWCMyarIMcamMMbKGWPlVVVVsRllHNMay0OkdVqk7SzG0NdrKqNIgmUdaVJ2\nAe3Kb6TflVlvxsKShbJ2C0sWwqw3y9qMzh2NZ3c9i6I3ivDsrmcxOnc0uqZ1lZ0rErlNMBmKJaR7\nCa2S0LpXSwTOP1498CrmXzu/Sf0cydzDrDejtFep7LlR2qtU9myxGCxB15t/7fyWPA++rqqqakcL\nmPjB6/WyqqqqdgC+Dvws5gH7jLEiAF8AuI5z/iVj7EUANZzzPyi1p6C7YGwuG6Z9NE2W7WNwl8FB\nmT2kWTjE7BwAQvaVViKXXmPj2I348NSHGJkzErntcnHs0jF8eOpDTMqfFPJ6UlTMDBJTJdNc2QVi\nJ78t/Z9H0s/msuHIhSPIbZ+LVGMqbC4bjl08hiszr/TLUJ2zDtM/nh4kZ0tuXILr110vOxYoe2r+\nPXFEzB+Q0dC9FLCfNJDuTQIi1f+Bc4hHBj6CiX0nyrKNtaQf0PT8xOayYfW3qxXnIyGeI4qyu2fP\nnk4Gg2EFgKsQH4Z9QvC4fO12ux8YNGhQpfSDeIh5+QHAD5zzL33v1wP4fQzHozlES3RgPIFZb1aM\nM8hMyfTvUX31569G5LWRWld2ndkVlE1EtLSLlXIBhJyARtJGI2hCdlsTExXJd5WiT0HXtK547OPH\nZPKQok/xtwkVD5VuSsfgLoNl44rEYpZAMhRLNCG/BKEAyW6UifS5IXrepfOB0l6l/gVLKP0c6LEZ\n1XMURueOxvSPp/vPs+IXKyKKeRnXe1zQOJvrefFNjsc2qxMRM2K+uuSc/wTgP4yxPr5DIwFoJmgo\nHpDWtBAzQGWZs1DvqQ8ZC1NxtgKLb1wMxhjevv1tjOo5yn8+cX+qdA+qNM5gyGVDgrKJzN4xG/We\n+pj8/bFCK7Ib7Wws9e56ZXlwN8pDqDiVBk+DP0tN2fAytE9przUPimbRivwSRCAku9En0udGvace\nG77fIItn3PD9hibnA4HxLE8MfQKbj22WXe+H2h+ajJ8JzHZWNrwMmSmZ9BxJcOLB8wIA0wCs8WUM\nOQbg1zEej+ZQskSHioUxG8wY2GkgZm6bKavTooMOlY5KLLhuAZ7a+RQqHZV+S4vUu5PbLpeyezQS\n97Ib7WwsobwqVmNj8h8l69ySG5bA5rRh1o5ZMo9NljkLel2LivsSzSfu5ZcgQkCyG0UifW5YDBYs\n378cL+17yX/MwAyYMmBK2POL8SzSZ8L8a+fj2KVj2HJ8CwDg0x8+DXpuBMZTBmY702jdL6KZxMU3\nyznfxzkv4pwP4Jzfzjm/EOsxJQKhrN1KlvK5n83FH4r/gHnF8/DC3hfw7vF3ZZYWqXen3lNP2Z58\naEF2o52dK5JsL0rWOaZjmLVjVpDHJhnlKFZoQX4JQgmS3eiiZrZJJeo9wfOQJz9/Eg/2f9Df5vru\n1zfp1aG6X8lJXCxeiMgIl1bQ4/WgzlkHL/eizlkHu8sOi8GCF4e/iMU3LJZl/QhXj+W2t27zWz2k\nx4FG7w5le9IWob4vs97cZIrsQLnyeD1Bcmg2BGcbW3LDEjDGGtvozVi+fznu2HQHBq4eiDs23YE0\nY1pIj01bFFslCIJIVppKUxzpc76l8wGLwYJOlk6yNMg3/ewmdE3rin2T9uHd/3oX3dK6BT03lu9f\njhR9iv+5RHVekpN42TZGNEG44DnOOarrq2Wu1QXXLUDZzjJUOiqxsGQhdk/cjQZPAywGi99SLs3g\nIVrKlY473A5Z0J3UC6PhbE9Jg9L3Zdabm3S1e7yeILlaWLIQFoNFFlS5aNgiZJqFPcdWoxX17nrY\n3Xb89iNJ8cmSRZhaMFW2taDWWasobz/U/oDb3rqN3P8EQRBRIJJg/OY85406I+YVz0O3tG44XXca\nRp2xyTE0eBow/erpmPvZXFScrcDUgqko7VWKaR9NC/vcWDRsES7UX/A/l96+/e2I5i1EYkEzAo0Q\nzjXqcDtk7teOlo5we914puSZRjerJHhar9NjwXULZJaSBdctgE6nw6KSyCwoohdG+pOIXwK/r3DJ\nHEQC5Urc1uXhnqB+bq/b38/LvcHn3jELd/e9WyZbeqYP8tgsuG4Blu1bRu5/giCIKBHpVqtInvMO\ntwO7zuxCRkoGGGPISMnArjO7mtTbXu7F3M/m+scwMmdk0PNG6blxTddrZO2W7VsWNJ+hnSCJD3le\nNEJTrlHxs1E9R2F64XQ8+fmTsiA4i8GCB99/0G9dKdtbhjlD5vjzopftLcPT1z+NVd+vwgvDX0Ca\nMY08KglMJK72cOmNpdz0s5tQ66z1W8L2TNqj2C/NmBZkxbMYLH6PjcPtwFM7nwq5bZEgCIJoPWpu\ntUrRpwQlAApMlR/JGEIlAlJ6bkjbbTm+BTroaCdIkkHfrkZQCoqbWjDVHxQtpjt+sP+DePLzJ4OC\n4Oxuu9+6YnfZUemolO0jrXRU4tilYzh26Rgu1l+MxZ9ItCGRBFmGCsSvddbKjt16xa0yS1iNsyZk\nAH+gFU+v0yPNlOZ/0PRo10O2B3pqwVTyvBAEQaiImklcIkmVr4TdZZelSq511WJqwdSgMTV4GoKu\nFzj2SkclOOe0EySJoG9YIwQGxT0y8BGU9irF9I+nY9DqQZi3cx5mXD0DPdv1VLReiHs/RetKYIDd\n/GvnY9eZXZheOB3zds7DoNWDMO2jaaiur6ag6QQkkiBLi8EStK1rYclC6JledizdlC6TuTRjmmI/\ns8GsNBQ/YurMZ3c9i6I3ivDsrmdR2qtUlhaTIAiCaB1qJt2JJFW+EmaDXN/P3DYTpb1K8cjARxoT\nv9y4BDaXDdM+muafk9jddiy5YUnQ84U89MkF45zHegzNoqioiJeXl8d6GDHBy71+l6jdZcf0j6fL\ngtQGdxmMsuFlisfnDJmDOzbdgcFdBge5V3+o/QHL9i3Dg/0fxLO7ng3qu3TE0ngNfGOxHkBziSf5\nlcqT+BOA7FiKPgX17npYjVZ/BjvGmKwN51wmczvG78C6Q+swMmekf1vih6c+xMS+E8EYC+naFx9S\nGpK/1pCQstvj9+8265wnnru1NUMiYkdCym8yoaT/W+KxqHPWhZyLiNuBlc4dST8AIZ8JnHPZc6kZ\ntcE0J7tEMOR50RBSl2g4a4dSEPTKAytl1hVpUUur0YpzjnNUfDLJCAzGBIDq+mqZletiw0VYjVbo\nmA5ppjTodfqgfoEemgxThmJ6S6vRKjt3oFePUl4SBEG0DWol3Qnlod/5486wOzjCzWGkz5ZQzwRx\nu7H4XCKSCwrY1yjinlWldMdiUafcdrm4UH8BJoMJz5Q847dQ6JhOZnWxGCx4aeRL/uKTlHIwOZFm\noAHgj5FqyvOh1+llqZLtLjsWDVuEmZ/M9LcRUyCHO3comSb5I7RK/9f7R9z2wL0HojgSgogOep1e\nSAIk0f87f9zp1/+irn9p5Ev+uixi4eum9H24sg5pprS2/UOJuII8Lxol3J5V0eo959M5qPfUY8bH\nMzBo9SBM/3g6LjRc8NfvkFrBxUKCVHwyeWmp58Pj9eBC/QV//NX0j6djYKeBQcVRX973cthzU/FT\ngiAI7SFNvGI1WjFr+yzZ550snYJiV2wuG5bcuCSsvlcqgBxJ/CSR+Kga88IYuwPAQgCdIOwrZAA4\n5zxDrWsk6r5Vt9ftjy2od9fDCy+sBt9+Uc6gM5oBpx0wWgGdsOYM3LOqYzqk6FOajGEJFRezdMRS\nmPVmONyOlu4lbWs0t3c1nuXX5rJh9berZbEqdpcdV7S/Iqw81Dnr8MbBNxRjXMR+Bp0BD3/4cJPx\nLGrtw9YACSm7FPMiJ4E9Lwkpv8lOkP7Vm6FzOQCTNWj+Eaqf6Hnp0a6H/3mQbkrHE58+oaj/AYTU\n9+GeLeHiJ5tAc7JLBKP2trFFAMZwzg82pxNj7ASAWgAeAG7OeZHK44pr3F63v2JsJ0snWdXZws6F\nWHTtU8h6Zx50tWeAcSsBazag0/n3hYqKQ1otd8F1C9A5tXPIPaWhLOxNVd0l5CSS7KboU1Da/M6g\n3gAAIABJREFUq9Rfr0XM1//GwTewfP9y//ssc5ZsAWMxWDA6d7RibaFBqwf55WjJDUvw209+Kzt3\nYCYxafwNbRWLPokkv0RyQbKrLl7uDX7+lyxE1u7XoPtkIZBTLJt/hOu3sGQhNny/AXfuvxOFnQux\n4hcrQs45xLmFkr63Gq1Yvn85Xtr3kv+YgRkwZcAUPPB/D9A8JYlR+5s+29yFi4ThnPOByaSAvNwL\nm8smy5N+f//7ZVVnd/+0G7M+/wMcY1+A7dY/wbvndcBX20XE4XZg/eH1mDNkDsonlmPOkDnYdHQT\nHC7lXO6h6nfYXfaIqu4SQbSZ7IoyI/0ZCR6vB3XOOni5F3XOOni8nqA2ofL1j8wZKXsfKA8OtyNk\nbSGZHHkcMhnd8P0G1HvC1wIg2oSk071EwkCyqxLSmMfGCvez4cgfC3jdwIkdwPr7AZcNaKgDuBdo\nqFPsN3vHbIzPG+/X9ZX2ypBzjnCEqzVG85TkRpXFC2PsDt+WsXLG2D8YYxPEY77jRACitWLaR9Nk\nnpBQGb/MejOm7V2E6sLx8BrlMQBmvRmjc0fL6mOMzh0Ns8GM+dfOD6rnYjaYsShgH+kiX550yvYU\nv0hlpjl1eMQYJ2lMSnV9ddACJpRHLrddrux9YP7+UP2klrSKsxXItmQHZSAj2SIIgog9IZ//HXo1\nHji1EzClAmvHA09lA2vHh+yXbkr3z0cMzBAUzxhJ7IrFYFGcwwR6aWieknyo5XkZ43tlALAD+IXk\n2OgI+nMA/8cY28MYm6LSmOIS0WIOCFaFjpaOsorkxy4dU7Q0HLt0DB0tHWEHAMZkVvdQlu96dz02\nH9sss3ZvPrYZDe56ZO1+DUuvnoU9E8ux9OpZyNr9GupVrLqbRLSZ7CpaxiKwODncDkWPSmC/UFau\nY5eOyd4HWsscIfodvXhU9v503emgNiRbMSdpdC+RcJDsqkjIHRnO2sYDOcVA9QnBC+PzxjgunlR+\nblw8JvHgzIJFb8HiGxdjz6Q9WHzjYuyr3Id6d3jPe71HeQ7zY92PQdejZ0lyocrihXP+a875rwGs\nEH+XHFsZwSmu45xfDWAUgEcYY8OkHzLGpjDGyhlj5VVVVWoMOSYEWs7n7ZyH6YXT8XXl1/6MGisP\nrMSC6xYEWRp2ndmF6YXTMW/nvCCre7h86eN6j5N5ZMb1HifsM/1kIVJfGgrd/Czh5yeC50XRI0MV\nzsMRVnYB9eS3pZ6xSCsgh8rs8uGpD8NayyLpt6hkIdqltKNMYvFHUuheIiFpM92bDITyclhMaYDO\nAPQoEWJetj0j65dy7miQ/p9/7Xy8euBVf5uKsxWwGC2YuW0mBq0ehJnbZqJvh75N6n+LwaI4h6Fn\nCaF2trG9PmUS9lgT55gHoI5z/ielz7WcMSRUBfE5Q+Zg15ldGH3FaKSb0oVsY75FSaW9El7uRZfU\nLv4sYluOb/H3LRteBsaY4nkDK9z6s3I47YLb98SOxsH1KAEmrIW3wQaH1wlLRjc4zn8Py7eboLvm\nYSAlLnOqx1XWkKZkF2id/La0An24SsbSXPmhso3lts9FqjEVNc4a7D6zG9d2u1Z2PZuzDp//uBOD\nLxuMDFMGapw1OHnpJK5onytkzPPJEa6dDgd3w2K0wiHWHIrfTHbRJq5kF1BH91K2MTmUbaxtiLbu\nTUi8XiF+1pdJzMaA1QqZvSb1vUfQ9047wHTA3++UzR3q5pzCzjO7/Prf5rJhzcE1siD7wV0GY17x\nPNz6r1tlxwKfQYrDVMhACaA1WSnjSnaJlqFWzEsxY+xxANmMsZmS1zwAYWcnjLFUxli6+DuELWdf\nqzGueCOU5Ty3XS4+/M+HcHldAOewNtQi7e/jwXetgJ7pMfezuTJPzaieo/x9LUYLntr5lKK3Rryh\ng6roGq2CBaVHSaNF5faXgc2/hW7jA0jlXug2Puj3yMBkVfpzkp62lt2W1kGxhPCMWAI8KNIaQQNX\nD8SrB15FB0sHPPbxYzJrWWCGMLPBgr4d+sqsah0sHQT5Ez175w5D13AJqX8fD91T2cJP+znhAUrE\nhGTSvURiQbLbSrxewF4lj13xuDAud6zcy9Hzl7AYrMKiJSUNMJiD5g4WY5pM/685uAalvUqDnlNK\ndb4Cvf9KKM1hFOc1RFKhVqpkE4A03/nSJcdrAIxrom9nAP9ijInj+Tvn/N8qjSuuCFVBvN5Tj6Uj\nljZ6RdbfD5zYgfpb/+SPVQDgj2WZM2QOthzf4t9X+u7xd+GFF/OK56F7enccvXgUm49txqS+E5Gq\nZNXQ6QBrR2D83wWFVH8J2P8P4MCbwudvPwr8chHw9QZhj2tDndAuTJ73JKVNZVfHdMgyZ/llJVKL\nk95Vj6wTO1F2w2JYUzJgb6iB5dh26K8YIfOoBcrng/0f9MdSAY3yVzb8RaRx5rfYORhCt3uyGjj3\nHWDO8ss1gMbMNRPWAmBN1hEgokLS6F41aY43hYgaJLvhCPCqBOlVlz1IH+v+MQlZd67G0hsWw5KS\nAUdDDSxHt0N3RXv589+aDUxY16j/JTG3APweF+nODx3TodJRKRuiGKdCKfGJlqBWzMsnnPM/AriG\nc/5HyWsx5/z7Jvoe45wX+F79OOdPqzGmeCSc5dxvPTBZhYweACwdeoX01ATuK91yfAtue+s2cM4F\ni0mv0iDLuh+vF7CfA9bdLVhd/jEJ6HMLcFWp8PmpnUDHPoJ1pXQF8MX/+q0zsFeRtdxHLGS3RRYn\noxX6nKFIWzcRuqeykbZuIvQ5Q4UHkYRA+cxtr5z5zmqUZ5sJHVOTCizoBLw3C9AxIL2LfFwKmWtI\nvtqOZNK9RGJBshsGBa9KkF6VzDP8pHeBzutEqu85kbpuInQ5Q4Cj2+TnAYTFjM8bo6T/l+9fDqvR\n6n9OpehTWrRrgCBCoXaRymWMscAgmksAygEs55wndVGHiCznTrvg7TixA47z34f01JQNfxFvHFzj\nj3+Rfrb0hsWCxeTKEcIEVbTAuOoB7kuPG2gFD/S2uOyCZ+aL/wW2Pd3Ybv39gtUlPmNgCCV0uiBr\nmZKHI1A+7S6bovw5XDakSmRHzDYT1O7cYaRK6wOMKWv07gHyzDW+c5F8EQRBtAIFrwrW39+408Jp\nF2q0DJsN5I8WDJWhvOMbHhDmBVI9HqCfxSxlgfrf7rL741laumuAIEKhtuQcA1AH4FXfqwbAWQC9\nfe+TniYt55J4FMv2P2PRtU/JrRXXPgXLphmw7nwF4wL3lV4zD5a3pyH1ucuh2/BrYaIqWmA2ThG8\nLWsnCNcItLpIvS3jVgLGVEFBbV8Y3I5iYLSHTiezloXamiWVS2uo7HMB1jLL4f9Tbnd0W2OjUzuB\nrB7yOCuFzDUkX0S8c+D4qYhfBNHmKHlVRC+36EExWYFBkwWveFPe8Y59As4T6LGPLKaS4lQINVHb\n81LIOZemK3yHMbadcz6MMfaNytdKTCRWcp3JiixXYzyM4+JJWLb+AbqvNwAAsgAsHf4iLMZU4bP3\n5/k/88eqiJaUh3cCbz0s/H7uO793x4/obZmwrtEq31Cn3M5pJ8t4EqBz2pF1fGfwHuguV8nbXflz\nf90gS4deQnax3a9B11dS4imnGKg5I1jxREuflwO1P8kvSvJFEATRciS7N/zkFPt0rs+D0lAreFUC\nvTNK3vFz38nfB+hnvc6ALHOmP8bF7rLDYjBDr1N7ekkQjai99M1mjOWIb3y/d/S9dap8ragiFpOU\n/mzeCbzC5J/7for7TWXHaxtduNI2Eiu5zpCCVI8HOgCpS4saFyeAUKvFmCp8ZsmCrmNeo1W7dKVg\naREtMB37NP6+/U/AbcuCreCit0W0yitlJRu3MihWgmhDQslVU91aIs+mVOi6Fcr3QF8+FLBmAtMq\ngCerhZ9ZPRTrBqFjH7ncmDMAMVOZ3gykpAbL112rAfBm/30EQRAElJ/bty0TnvsiKRnK3plA73jp\nSmE7majr71oNr9ES9CzR6wxIM6VBx3RIM6XRwoWIOmpL2OMAPmWMHYWQS7sngId9qQxfV/laUUMs\nJjlr+yxUnK1AYedCLBq2CFnmrMhcnWLA3Pr7BYWQUywoE2tHYeuW9PjtLwMfzhcs0ONWCl4XcfHg\n9QC2Kt++0+eVrSnVJ4CXBgu/l64Ehj0OOOuAL5YD+WMa+0i9LeICaEyZoKxCZXmKMFaCaCNCylV2\n2O+kxfLsbhBSY44pAzIvBy6cBEzpgKMaeGd64xjGrwnhobMBf6jyyY1FkH1pP/GeEOXLVQ84a4UE\nEs34+wiCIAgfgc/thjohdlVi+MSFk8o6u6G2Ud/X/gToTcA/G/Wx967VqG640PK5EUGohKrSxjl/\nD0AvADN8rz6c83c55zbO+QtqXiuaONwOzNo+C7t/2g03d2P3T7sxa/ssONyOyE4gDZjzuoG0TkCD\nDWBM+JnWqdF9+9bDQMnMRrety954Hqet0bW7/flgb8ntLwMfL2i8htN3Ddt54NwheZ8di4FxrzVa\nzH/+FJDeqem/JcJYCaINCJQrUWbc9WG9MWHlOZwXh3uA9b8GlhYC87OEn44LwL8eko/B6RBkMVA2\npQUo3Q3KY3c5GuWLe0O0sYMgCIJoIUOnyr3l1g7B3pnSlYLRU9T3DZeEhYtEHzvqL7ZubkQQKhEN\n394gAD185x7AGAPnfFUUrhM1QhWTjDitnzRg7qpSYOSTQjYv0Zp82zLhs683yAPiAoPhUtIazyNa\nTX75PJDdR1iobP6tcDzUNT6cL7x++TzQsTdgC7B83/4y8OEMZa8PEX+ESG8JZ21Yb0xYeX59bGgv\nh3TbofR6gcfSsoF/TZXHs3w4H7jjL0KAqHhuxVTJEnkPGWhK2xQJgiAiQslDX7oCOLBeSMCTUyzo\nZlO63Kue2lGeoEe61dyHpV1O6+ZGBKESqs5UGWOrAfwJwPUABvteRWpeoy0Qi/VJEQsqRYQYMAcA\nw34nLCqk1uS3HxWOA/KAODEYTkQMmBf5egPw3n8Lx8GADr2FQPzSFYLCknp03n4UGPOicJ1v3/F5\ncQKs2uG8PkT8IZUrkRufaNJbEVKeL54M7+VQut6Fk0KKzYd3Cla8h3cCdVXCAvjlYsFi93Kx8L6h\nVn7uG5+QnytQ3pWuF9iGIAiCCI2Sh37PKmDIA8DcSsHItPcNYUu61KveUCPXv+JWcwmOS6daNzci\nCJVQ28xeBOA6zvnDnPNpvtd0la8RdcIVk4wIacCcgvVClpb49peFLV1KwfCmVGFhInPtrhCOGy2N\nqQ6fyhY8KiOflBeaNFqFzwdNlntxAsch/k4W7vhGKRAzq0eT3oqQ8vxRE2mKla6X3iU4xSZjwpbE\nwABRU6r83Eqpko1NXI8SRBAEQUROoAf7qlKg4E7gn5MbdXbBnUBmjrzfV/+Uzze+3Rw0/7CY21Ox\nSSIuUHvb2NcAugA4o/J525RWF1SSBsy5AtIWXlUKDJ8rTPjueRPwuAQXbkOdoHR0OsGLIhaWNLdv\nLC7VUCdMCHV64ffAVIeBhSbPfddYaGr830OnTxR/pxS18Y1SAgWnrcl01oryzBl0tQG3aU6xr5Cp\n1xdAb5cH1DvtgiUvUO423A+M+ytw5yrA0h5wXASOfyr34ogB/OGSP1CCCIIgiNbhtMsLUNZfEhYu\ngXOFu1bL+x18B7h6csB8wyrTxzqjFVkMVGySiDlqS1xHAN8yxrYyxjaJL5Wv0Sa0uqCSGOhulKSD\n7f8r4KZ5gpdk16uCUll3t+A5WXe3EJPidTcWlnwqG1gzDnA7AA4h1awYBB0qPkD06EhTI4oFqgKt\n2uG8PkR8EphAwajwvSp8l0HybDArpyl21jbK3trxQoYwo7XxeqE8eKkdhQfkU9nCz5whQNUR5VTc\n4ZI/UIIIgiCIliPdlbGgE2Bup6yzze2Cd3V43fI5if28XP/rdFRskogL1Pa8zFP5fNpHak0GFyrc\nn9ghWKl3rZAHOe9ZBVzzUHBGsvX3C/2lXpFQhahcdiEI78P5jUH+OcVCVieZVdsGML3g9SELt3Zp\nqbdCqR+4kKZYaqErf12QyZQ0oQ1jynJXfynAG+Pz9vlTJZN8EQRBtArproxQetXlkHvH6y/JPTHn\nvhO2hDXUyb0sepNgLA0sXBk49yCIOEDtVMmfADgBwOj7fTeAvU31Y4zpGWMVjLHNao4nbhCtydLs\nTeZ2wr5TaexAwZ1CG6X4lcB4lHDxASmpQF1l8HGZVTtdOCdZuFtNzOW3pd6KwH6B2cXEvdKiJW7t\neKGGkFIBtJR0+blP7SQPikaIufwSRAtJKtkVs4jJPONVwSnuA3dlmDOC4xQHTfZtS88QdLQ5AzCY\nKNsjoRnUzjb2IID1AJb7DnUD8FYEXR8DcFDNscQVXg9QX9MYnwAIk0ClLGROm+CN2f9PIVPYVaXA\nI7t9fexCBifulccj/KFK+GnNFraViRZ12XGaPEaRtpNfrze4NovSsZb0C8xup5Qpb/39gMctyKiY\nuWb/P4ELp+TXyyn2ZcUjNEBi618ikUke2Q1V5yswS2hg1sb6mkZPjNhvwwPBWRwp2yOhIdSe0T4C\n4DoANQDAOf8eQNhKiIyx7gBuBbBC5bHEB16PkJJw3d1CXRaxmJ8pPYSVI63RC9Oxd2OMzMYpQvzB\n2gmh4xHEBQrFDbQZbSq/oSxvDZfCW+OU+jVcCj7GPcDtrzR6VUJlysu4TG7FK7pX8PaFyzZGxCUJ\nr3+JhCXpZDfSOlhGizxLWKiYl8CtYJTtkdAQas9qGzjnTvENY8wAIdQ8HC8AmAVAwVwc50Ri8Xba\nGq0eB94EPpgnxKS4bMpWjnOHJF4Yu1CL5cQOoR6L+DtVH48n2k5+Q1ne7BfCy4VSP/uF4GP/mCQ8\nqO5c5YtVCSGjDXVyz54pXYiNCfTGuCj3vwbQrv4lkp3kkt1AzzjQGM8qnYe47EL8rKiP6y+F1uPS\nfgDt2iA0g9pS+Qlj7AkAFsbYzwG8CeCdUI0ZY6MBVHLO94Q7KWNsCmOsnDFWXlVVpe6IW0qk+08D\nszN9vQF4abBgHRG9MFJrtTRDmLRvKCs47UeNGW0uv6Esb5mXBx9rqnJ95uXK57JmNmYN++J/g+sM\niR4VqWfPYBa8L4HeGLLYxTWRyG9c6l4i6dH03KGlmFIF/RvoGXHWyechplRg+8LGosHv/S64n6jH\nA+cvAO3aIDSB2pL5ewBVAA4AmArgPQBzw7S/DsBYxtgJAOsAjGCMvRHYiHP+F855Eee8KDs7W+Uh\nt5BI95+Gs5YwBvzXcsHKoZQhTNpXodot7UeNOW0rv6H2JF84GXzMVS+3qgX2u3BS+VzVJxpletvT\nggXvzlXhPSrSzGVksdMSTcpvXOpegtDy3KGluByC/pV6uD3uYK93fY1ct3+9QegXqMcbamgnB6FZ\n1M425uWcv8o5/xXnfJzv95Dbxjjnczjn3TnnPQCMB/AR53yimmOKGpHuPzVZg63XpSuAijXAkquA\nFwcAnAsTPWmGMNEyIu5B3bE42FND+1FjSpvLb6g9ydbM8PValDwoKSHqw2x7Rn7N7QuFPdNNeVQo\nzkpzaFr/EklNUsqu0Rrs4U7vEpy1NCU92NMyaLJQmkGabeyrf8rPTzs5CA2hSp0XxtgBhIlt4ZwP\nUOM6cUWoOiuBVepd9cCpXcHVx3OHSfrYGi0qYh72/f8Eih+W1+Jw1QMT1gqLGqqdkXyEqukCBNdr\n+fJVuTyJMmhuJ7wvfx249lF5P8aA2p/k1xTlk+q1EARBxA6dTsgwKq3N4q5vzAgJCD8vnAQOrA/W\n/9c8BNzwu8aaLgcDdvQrzV8IIk5Rq0jl6NaegHO+DcC2Vo+krRCt4OvvFywWOcXKnhCjBeg6QIgj\nENvdtgxo173R2m1KFSwqSucSLdqA3CpCCiauaDP5lcqDVAakx7wewRr39qNymTNnCJY3Ub4M5saF\niNivdIWQYELsV7pCkE+mI5lLYDSnfwnCR9LIrtcrZBgNnCekd5G32/YMcPPTwe1MaY01XbzeyOYv\nBBGnqLJ44ZyfDDzGGBvNOU/cwlGRVjZ32oItI28/KlhPxv9dmBhKa7M0p0o6QSgRTubCeVB0eiA1\nW27ZE+VTSiRVngmCIAj1kMbZAo1xKmPKhEymIrU/CRkgZfMJS7DOpjkHoWGiKanzo3ju+CCSff6B\n2cYA397SVKH2i/2cMBmkmAFCLULJXCTypdPLqy4rLVwiybJHEARBqEeoONusHsGxiwZzo743Wn01\n4iizGJE4RFNaWRTP3bZEUs8lFKEyRJ37DkjrBDTYhP9Uc89LJB6tkTMpkVZKbsn1Is2yRxAEQahH\nSL1uC5/pkXQ2kYBEc/EyNYrnbjtaa2lWyhB12zLg2HZg5JPAO9PJgk2o69GIpFJyS68XaZY9giAI\nQj2MZuXMpUZLeA8K6WwiAVEr29gdIY53BwDO+UY1rhMTQu0znbAusgDmwNiY6hNCPZdhvwuOS2jO\neYnEorVyJiWSeKyWXi/SLHsEQRCEejjtQt0taRaxPauELGLmjPD9SGcTCYZa2cbGhPmMA9Du4kUN\nq4UYz+L1CvU16ioF5UPWEEJEbetYqKxkrb1epFn2CIJoFv1f7x9x2wP3HojiSIi4JCVNqLu17enG\nYzqDkP44HKSziQRErWxjv1bjPHGJmlYLqUXcRdYQQkJbW8daer1Is+wRBEEQ6tFQp6yzG+rCe15I\nZxMJiFqeFz+MsVsB9ANgFo9xzrWXeUxMB2u0AHeuBhwXgMzLhQJQ1syWWy2kXhiyhhAirbGOKaUu\nBsKnM27N9Zry6hAEQRDqYkoNnotYMoXjTUE6m0gwVF28MMb+F4AVwHAAKwCMA7BLzWu0CWIw8/r7\nhQJQN80TAuulk7zWQtYQQkpL5UEqq1L51JuAf0ySH5NmoSH5IwiC0BYep3wuUqrCXIQgNIjaM5Vr\nOeeTAVzgnP8RQDGAn6l8jegjDWYumQn866HopBmk2i6ElJbIQ6g0mPYLTcssyR9BEIQ2cNqADQG6\nfsP9wnGCSDLUnq04fD/tjLGuAFwAeqp8jegjDWamwHoingkVeJ95efAxklmCIAhtEq74MEEkGWov\nXjYzxtoDeB7AXgAnAKxT+RrRR1oM6tx3kRX8I4hYEKpw2YWTwcdIZgmCILSJGLAvRQzYJ4gkQ+3F\nyyLO+UXO+QYAlwPIA7AgXAfGmJkxtosxtp8x9g1j7I8qj6n5SIv87VgM3P5y+IJ/RFISF7IbqiCl\nNZNklghLXMgvQbSQpJNfU6pykcpIAvYJIsFQO9vYTgBXAwDnvAFAA2Nsr3gsBA0ARnDO6xhjRgCf\nMsa2cM6/UHlskRMYzOyqByasFZSEqx7gHoBBsHhQkHMyE3vZDRV4DwQcs4TPPkYkI7GXX4JoOckl\nvzo9kJoNjP+7sFWsoc63cGG+30m3E8mDKosXxlgXAN0AWBhjhRCm9gCQASH7WEg45xyA6Pc0+l5c\njXG1CmlqQTFWwOsFnLXBmZ2kWZyIpCFuZDdUGkzxd6NVOSMZyW1SEzfySxAtICnlV6dvrOlizgid\nbZJ0O5HgqCXdNwP4E4DuABYD+LPv9VsATzTVmTGmZ4ztA1AJ4H3O+ZcqjUtdQmV2UiPzGKFJNCG7\nJLdECDQhvwQRgqSXX9LtRJKiyuKFc/4653w4gPs458Mlr9s45xsj6O/hnA+EsPgZwhi7Svo5Y2wK\nY6ycMVZeVVWlxpBbRqjMTpTFKWlpSnaBOJBfklsiBJrRvQShQNLLL+l2IklR26/4GWNsJWNsCwAw\nxvIZY/dH2plzfhHANgC3BBz/C+e8iHNelJ2dreqAm0WozE6UxSnpCSW7vs9iK78kt0QTxL3uJYgw\nJK38km4nkhS1Fy+vAdgKoKvv/WEAM8J1YIxl+9IrgzFmAXATgEMqj0sdQmV2oixOSYlmZJfkllBA\nM/JLEAqQ/IJ0O5G0qJ1trCPn/J+MsTkAwDl3M8Y8TfS5DMDrjDE9hMXUPznnm1UelzqEyuxEgXHJ\nijZkl+SWUEYb8qthDhw/FXHb/j1zojiShITkl3Q7kaSovXixMcY6wJfxgzF2DYBL4Tpwzr8CUKjy\nOKJHqMxORNKhKdkluSUC0JT8EkQAJL8+SLcTSYjai5eZADYByGWMfQYgG8A4la9BEARBEARBEEQS\novbi5VsA/wJgB1AL4C0IcS8EQRAEIaPH79+NuO2J526N4kgIgiAIraD2xshVAPIAPANgKYBeAFar\nfA2CIAiCIAiCIJIQtT0vfTjnBZL3HzPG9qt8DYIgCIIgCIIgkhC1PS8VviB9AABjbCiAz1S+BkEQ\nBEEQBEEQSYjanpehACYzxsT8kDkADjLGDgDgnPMBKl+PIAiCIAiCIIgkQe3FS1B1cYIgCIIgCIIg\nCDVQdfHCOT+p5vkIgiAIgiAIgiBE1Pa8EARBEAQRRfq/3r9Z7Q/ceyBKIyEIgmh71A7YJwiCIAiC\nIAiCiAq0eCEIgiAIgiAIQhPQ4oUgCIIgCIIgCE0Q88ULY+xnjLGPGWMHGWPfMMYei/WYCCISSHYJ\nLUPyS2gVkl2CSG7iIWDfDeBxzvlexlg6gD2Msfc559/GemAE0QQku4SWIfkltArJLkEkMTH3vHDO\nz3DO9/p+rwVwEEC32I6KIJqGZJfQMiS/hFYh2SWI5CbmixcpjLEeAAoBfBmL63u9HHUNbni576eX\nt6gNkXzEWnYTBTXvL7pXI4fkl9Aq0ZJdmg8QRPwSD9vGAACMsTQAGwDM4JzXBHw2BcAUAMjJyYnK\n9b1ejvM2J6avrcDuE9UY3CMLZRMK0SHVBJ2ORdyGSD7Cya7v86jLbyKg5v1F92rkxFr3EkRLiZbu\npfkAQcQ3ceF5YYwZISigNZzzjYGfc87/wjkv4pwXZWdnR2UMdpcH09dWYOex83B7OXYeO4/paytg\nd3ma1YZILpqSXaBt5DcRUPP+ons1MuJB9xJES4im7qX5AEHENzH3vDDGGICVAA5yzhckKEMBAAAg\nAElEQVTHahxWkx67T1TLju0+UQ2rSd+sNkTyEC+ymyioeX/Rvdo0JL8+5rWL9QiIZhJt2aX5AEHE\nN/HgebkOwCQAIxhj+3yvX7b1IOxODwb3yJIdG9wjC3anp1ltRDweL2rrXfByjtp6Fzweb1Ab2i+r\neeJCdrWM9B6wNbgjvr+aIuS92uChe64Rkl9Cq0RVdkPpD5tEd9gbSMcQRKyI+eKFc/4p55xxzgdw\nzgf6Xu+19TisRj3KJhSiOLcDDDqG4twOKJtQCKux0YpiMejw4viBsjYvjh8Ii0H+b/R4vDhvc2LK\nqj3o/T9bMGXVHpy3OWULGHG/7IOvl6P3/2zBg6+X47zNSYpOQ8SL7GqVwHvgtU+PR3R/RUKoexXg\ndM/5IPkltEq0ZTeU/vj0+yq/7vB4vXhxQkCbCQPh8XpJxxBElIn5trFY4/Vy2F0eWE16pJr0+Mvk\nQUhNMcDW4IbFoIdOx+B2e+Fwe5CaYkC62YDlkwYhzWxAjcOFnUfPoaR3J6TpGydYdpcHj63bh53H\nzgMAdh47j8fW7cNfJg9Cuq+ddL+s2Gb62gq8em8R0lKS/mshNIb0PrI7PbAYdHC4vf73ohFA2kbH\nILsHFn/wPXp1Tgu6v27o0wnegHM1FRDrcHux52Q1Xpl4NTIsRv+5+l7Wju45giDC4nB74eVe2XzA\n1uBCbna6P77loTf24uWJV8t0DAfw0Bt7ZTpm7Zcn8evreyI1xRCx/iIIIjxJ/cSWZgvpnJGC393c\nB//95lf+zCEvjh+ILKsJ1XYnHlu3T7HNwtIBsBjlluHUFIPiXthUyQSJ9ssSiUJg1p3pI67E+CE5\neGzdPkkWnoEw6XV46I29smOdM1L85xlb0BX9urbH1NV7GtuMHwhbgxvT1+5rVkYfi1GHfl3b4zeS\n6y0sHYCu7c2ydnTPEQQRiFmvg53pMGXVHtl84IqOjfqjc0YK3B5vgG4K1mm3F3aXnYcykhFE60nK\nxYtoJQZvtPxunTEM//3mV36Lyc39OsNk0KHe7fV7UQLb7Dx2HrM3fIVXJxdBx7zwcg6rz0qzdMJA\n5Gan48pOaThSWYetX5+BrcGNdLMRQOOeWvFcQOP+frICE1oi0It481WXRej12Idn7+iPt/b9CAB4\nZPiV+ObHi7J+Lt/koClvidQ7amtwQ88YZm8IvldfmXi1bOxK91ygFylSS2lL+xEEEVsC9QcDsG7X\nKcwb28//DF+36xR+fX1PHH3mlzhSWYcMswFrv5S3WfvlKcy4qbdMpwXqIfL2EkTrSbq7R2olfuOB\noX7vx5Wd0vy/zxuTj1/2vwy/eWNvyDYiu09Uw2zU4aea+iCvzbpdp3DrR0f87y2G4PgZqXW6pfv7\nCSKWBHoRr+iYikyrUeb1EL2YUnafqEZOByuKcztg94lqxX5rHhzapIfS7fb6vaOhLKBivwyL0X89\n0QoqjWtrae0GqvlAENpESX+88cAQ3F7YHbM3yHdZWE169Jm7JWybbplmv44JNWcgby9BtI6EXbyE\nsoLaXR6UnziPVyZeDcaAD2begMXvH8aRyjpMH3Elbr7qMvTqnIZT5+3ITk+RHZe237RfsKyIlttA\nj8xj6/Zh3th+WPzB98hOT4Hd6UHHdIa6BjesRj0cbq+iZef/leTK4mcIIt4IvLfA4b9HruyUBrvT\njXW7TgXdDyvuLcLWGcNk3sh6p0e2rzyw36nzdkUPpa3BDcYYrCY9HO7gGLNAr46036v3FoX0joSK\nRVt5XxG8HM3uRxZWgohvlPSHrcGDtyp+kD2f36r4Ab++vie+WzAKRyrrUO/yKnp3/zJ5kF/HiBkU\naYcFQahLQt494aygZoMOgy7Pkll3n//VAByprA3ap7+wdACOVQUff/5XA6BjwNmaBiwsHYA0s3KM\ny5Wd0jC2oCt+94s+MutM2YRCZKUaUfbRESz+4Ht/H4OO4dGRvdr630UQEaN0b628t0jx3jlSZfMv\n8jtnpMDudGPepm/8bV6ZeDVsTnk8S2C/Fz44jLIJA4PaWE16TFyxC7tPVOPw06MU7z+pV0faT68T\njANKkwelWLTOGSlNxt1QDBtBaBOlGNXUFL2y58XY6HkJ5d1NTTFAxwS9kGoyoGxCYdBcROrtJQii\n+SSkiV/qXTn89Cj876RB0DMADHBIMoGJWUP++82vMOjyrKDjszd8hYE5mYrtF9zeH/PG9sNbFT+g\nxuFSzPd+pLIOjwy/0m/B+W7BKMwb2w9rvzzZrJoxBBGOtqwXpFRV2unxKt47jwy/0t9vxk29/bEr\nYpuLdlfQscB+Z2sakJ4iZPg7/PQoLJ80COdt9aitd/v71dUr14eprXfL7ru3Kn6Aw+kN+79Sui+V\nxh5UbZvuZ4LQJEr1pexOj9+rItVNNqdHogP2YcZNvWX9RO+uiE7H0CHVhFfvLcLhp0fh1XuLaCsp\nQahAQi5epN6V3v+zBQ+t3gO7y4OZ/9gHqyl0JjCl4xkWo+Jxi0mPeZu+wR2DuuPtfafx/K8GBOWE\n3/r1GVyRnYrbC7tj3qZv0GfuFszb9A1uL+wOq6npujIE0RRtXS9IycMQ6h7p1SnNL9s5HaxBbX6W\nFXxM9FiK/V6ZeDVqGtyYulqomTR19R50a29FmqnRa7L3ZLViTQY9g+y+mzA0p8kaDEr1npTGHlRt\nO4I6UQRBxB8Wgz5If4SaD6SZDbL3ondXXpdKfs/rdAxpPm9MWoqBFi4EoQIJuW3MoVBn5b/f/Arz\nxvbDkcq6kHvom3Pc7nRj8Z0F8HKOidf0wE+XHFh8ZwE6tzPD1uDGp99X4earLoPD5Qm5L1a0yFhN\netgbPNDpADD442JIyRFN0daxFkpZ8kTPR9C943Tj8NOjfDUSgtv8pzp0PMvhp0ehxuGCjjE8tja4\nZtLySYP8fe77Wzn+9XCxYo0maXyLjgH3/608+H81uQhgvngWlwdZVqOsn1hJO9y+damFlbKNEfFG\n/9f7R9z2wL0HojiS+KPe48Xpi3Z/fam6emV9NbhHFmocLtl7W4M7KKtiSe9OSKPEOwQRVRLyDgtl\nNbmyUxpe+vgIFpYGe0lOnbeFqO6tD2ov7n31cI7fvfkV+szdgt+9+RUMeh3AhetPW7sPN7+wPayn\nR7TIgAsLrvv/RlV5iebR1rEWSh6G1JQQ94hJDx1jSDcbYTUFt0k16VEWWKF6/ED87bPj6P0/W/Cb\nN/aGjCdLMxtk/bpnpiLVZPBfz2DQBVk8zcYQ/6sUvcwbU213CQsPX79IvaRkYSUI7WE16tE9M1Xm\n3bUYg70xL44fiJ1HzwXpuIHz30funPcwcP77mLZ2H8W5EUQbkFCeFzELEudc0WpypLIOm/b/iCuz\nU/1W2hqHC29VnMa8d77FvDH5fiuKrcENo47B4Q6ddSTLasKrkwfBGlA5t05itQnl6ZFabSlTEdFS\n2rpekJKHweH0Kt4j/68kF2kpOv84A9us3XUKD5Tkys5l1uvw6+t74tGRvUJ6bCLJGtac/9Wp8/aw\n9x55VQgicdHpGLKsRpnn1uHyBNWqOn6uDsVXdPRnG3ur4gdMvraH7FyUSYwg2oaE8bxI9/5v3PtD\nkNXk+V8NwCvbjqA4twMmDL0cqSbB4+HycGz95iwMOoat35yFy8MBDqSbjTCbBKtrqJgVa4oBaWZj\nkKVVap1+ZduRoHiYQKstZSoiWkosYi0CPQwWow7jh+TI7pHxQ3JkNYtC3UcpRp3sXAaDDum+eyrd\nbIQ1hAXUatQ328uh/L8aiBc+OCxrp3TvkVeFIBITr5ej2u7ClFWC52XKqj2wGPSyuNnfvLEX3dpb\nserzEzIdJ+oRinMjiLYl5uYBxthfAYwGUMk5v6ql55F6L3YeOw/OIfOi6BnD4rsGBllNm7KoOlxN\nW5UDCbTU1rs8eHVyEawpIWpEtLH1nFAPteS3pcSDVyCSmkUtuY8AQK/XoUOqSWYVtRr10LegFpLS\n/0pMeS4lWe69WMsuQbSGaMwdAMH7Wud0B8XB2J0umVfYatSDMUYeWYKIAfHgefkbgFtae5JA78W8\nd75F0YIPAAheFKvEagrAny7V7vLI9rcHKh6rUY8JQy8PyFp0eZPWFaml1moyIM0c2mpLmYo0zd+g\ngvy2hlh7BawmPco+OoKbX9iOK554Dze/sB1lHx0JysbVkvsIEBYwUm+MXq9rcXrooDgYQ1Lfe39D\njGWXIFrB3xCFuQMAvL3vNLplWmVxMDqdzj9XEPVQrHUvQSQrMTctcs63M8Z6tPY8kXovwhWwVFI8\nbWHZjgfrOdEy1JJfLRPJvaemjDf3Hg5HMt97JLuElonm3OGS3QWTXodn7+iPn2VZ8Z9qO1L0OjCW\n+HqBILRAzBcvaiF6L5qqZNuS4Hh/VjAoV+VWg7a4BkFEg0jvPbVkXO0EF3TvJSDz2sV6BIRGUNJf\n913XE1NX75EtaIpzO1ASHYKIEzRxFzLGpgCYAgA5OTmKbSK1oFJwPNHWRCK/WqatvRd0D7cdiS67\nRGLT4rkD6RiCiGviIealSTjnf+GcF3HOi7Kzs0O2i2T/qegiliJucSGIaBCp/GqZttz7Tfdw25EM\nskskLi2dO5COIYj4RhOLFzWh4HiC0DZ0DxMEEU1IxxBEfBPzbWOMsbUAbgTQkTH2A4D/j3O+MlrX\nS+YAXUJ92lp+CbqH1YJkl9Ay0ZRf0jEEEd/EfPHCOZ/Q1tekAF1CLWIhvwTdw2pAsktomWjLL+kY\ngohfkm7bGEEQBEEQBEEQ2oQWLwRBEARBEARBaAJavBAEQRAEQRAEoQlo8UIQBEEQBEEQhCZgnPNY\nj6FZMMZqAXwX63HEgI4AzsV6EDEi1N9+jnN+S1sPpjUwxqoAnGyimZa/axp7ZCSq7KpJPMtSvI6t\nrcaVCPIbr99hJNDYW47mZJcIRouLl3LOeVGsx9HWJOvfDSTf367lv5fGTqhFPH8f8Tq2eB1XPKLl\n/xWNnUh2aNsYQRAEQRAEQRCagBYvBEEQBEEQBEFoAi0uXv4S6wHEiGT9u4Hk+9u1/PfS2Am1iOfv\nI17HFq/jike0/L+isRNJjeZiXgiCIAiCIAiCSE606HkhCIIgCIIgCCIJ0dTihTGmZ4xVMMY2x3os\nbQljrD1jbD1j7BBj7CBjrDjWY2oLGGO/ZYx9wxj7mjG2ljFmjvWYogVj7GeMsY993+83jLHHYj2m\nSGGMmRljuxhj+31j/2Osx9RcklW3xCPxfi/Eo6wk6zOipTDGbmGMfccYO8IY+32sxxMpjLG/MsYq\nGWNfx3oszSXe72tCW2hq8QLgMQAHYz2IGPAigH9zzvMAFCAJ/geMsW4ApgMo4pxfBUAPYHxsRxVV\n3AAe55z3BXANgEcYY/kxHlOkNAAYwTkvADAQwC2MsWtiPKbmkqy6JR6J93shHmUl6Z4RLYUxpgfw\nEoBRAPIBTIgz+QrH3wBotUZJvN/XhIbQzOKFMdYdwK0AVsR6LG0JYywDwDAAKwGAc+7knF+M7aja\nDAMAC2PMAMAK4McYjydqcM7PcM73+n6vhTD56BbbUUUGF6jzvTX6XpoJpktW3RKvxPO9EI+ykuTP\niJYwBMARzvkxzrkTwDoAt8V4TBHBOd8OoDrW42gJ8XxfE9pDM4sXAC8AmAXAG+uBtDG5AKoAvObb\nqrCCMZYa60FFG875aQB/AnAKwBkAlzjn/xfbUbUNjLEeAAoBfBnbkUSObyvNPgCVAN7nnGtm7Ehe\n3RL3xOG9EI+ykpTPiFbQDcB/JO9/AE2i25Q4vK8JjaGJxQtjbDSASs75nliPJQYYAFwN4BXOeSEA\nGwDN7NFtKYyxTAjWsJ4AugJIZYxNjO2oog9jLA3ABgAzOOc1sR5PpHDOPZzzgQC6AxjCGLsq1mOK\nhCTXLXFNvN0LcSwrSfmMaAVM4ZhmPMVaJ97ua0KbaGLxAuA6AGMZYycguHhHMMbeiO2Q2owfAPwg\nsWSvh/CgSnRuAnCcc17FOXcB2Ajg2hiPKaowxowQlPoazvnGWI+nJfi2q/z/7d17vBtlnT/wzzeX\nc5Kc09uBIlgoBWVZ0UJLW7RCa4FVgaKAwNIqF11uIrbQXbZF5MdWBLXFFShXgbpCwRbkoix1ZRHa\npSBiCy2UixcsUCgIhdPbOSfnkuT7+2MmOZNkJpnk5DKTfN6v13klmTwz8yTzfZ6cSeb7PKvhn+uy\nm7lv8SyPtgWvxkqzfkaU620A+1ge740GviTZSzzarsmHfHHyoqrfUdW9VXUcjKTtJ1S14b+FBwBV\n/TuAt0TkQHPR0QBeqWOVamUzgM+ISExEBMbrbtgkVPM1LgXwqqr+pN71KYWIjBaRkeb9KIwTzz/V\nt1buNHPf4lVebQtejZUm/owo11oAB4jIfiLSAuNYPlznOjU8r7Zr8idfnLwQ5gC4R0RehDGa0w/q\nXJ+qM79FvB/A8wA2wojVRp6Z93AAZ8D4NneD+XdcvSvl0l4AVpnxuRZGzotnhpEl3/FzW6iXpvuM\nKJeqJgB8G8CjML4Qu09VX65vrdwRkeUAngFwoIi8LSJn17tOJWC7pooRVV7qSURERERE3sdfXoiI\niIiIyBd48kJERERERL7AkxciIiIiIvIFnrwQEREREZEv8OSFiIiIiIh8gScvRERERETkCzx5ISIi\nIiIiX+DJCxERERER+QJPXoiIiIiIyBd48kJERERERL7AkxciIiIiIvIFnrwQEREREZEv8OSFiIiI\niIh8gScvRERERETkCzx5ISIiIiIiX+DJCxERERER+UKo3hUo1THHHKO//e1v610N8gapdwVKxfgl\nE2OX/Kwh43fcpStdb++NH80capWoPnwXu5TPd7+8fPDBB/WuAlHZGL/kV4xd8jPGL1Hj8N3JCxER\nERERNSeevBARERERkS/w5IWIiIiIiHyBJy9EREREROQLVTt5EZF9RGSViLwqIi+LyEU2ZWaIyA4R\n2WD+XVGt+jS6lKbQPdCddVvJ8pVe3+sYv7WRTCXR1d+FlKbQ1d+FZCrpar1Gj7+hYOw2Lqe4Tz+2\ntie/tgvGLxEVU82hkhMA/k1VnxeRYQCeE5HHVPWVnHJrVPX4Ktaj4aU0hc7eTsx/cj7Wv7ceEz8y\nEYunL0ZHpAMByT8/LbV8pdf3CcZvlSVTSXT2dmLBmgWZOFo0bRE6Ih0IBoKO6zVJ/A0FY7cBOcX9\nqNZR2Na3Dff/5X4cv//xuOL3V/i9XTB+iaigqvVoqvquqj5v3t8F4FUAY6q1v2YWT8Qx/8n5WPv3\ntUhoAmv/vhbzn5yPeCJekfKVXt8PGL/VF0/EsWDNgqw4WrBmQdE4aob4GwrGbmMqFPfzn5yPo8ce\njSt+f4Xv2wXjl4iKqcnXMSIyDsBEAM/aPD1VRF4Qkf8RkU86rH+eiKwTkXVbt26tYk39KRqKYv17\n67OWrX9vPaKhaEXKV3p9v2H8VkcsHLONo1g4VnC9Zou/oWDsNg6nuE+3o/1H7N9w7YLxS0R2qn7y\nIiLtAB4AcLGq7sx5+nkA+6rqIQBuAPAru22o6m2qOllVJ48ePbq6FfaheCKOiR+ZmLVs4kcmFvzl\npZTylV7fTxi/1dMz0GMbRz0DPQXXa6b4GwrGbmNxivt0O9q0Y1NDtQvGLxE5qerJi4iEYXQ+96jq\ng7nPq+pOVe0y7/8GQFhEdq9mnbxqKAnI0VAU1864FitPWokNZ2zAypNW4toZ1xb85WXx9MWYsucU\nhCSEKXtOweLpi0v65WUo6/sF47f8uHSzXjQUxaJpi7LjaNpiBAPBous1Q/wNBWPXP9y0lWQqCYE4\nxv3i6Yvx+ObHceVnr2yIdsH4JaJCqpawLyICYCmAV1X1Jw5l9gTwnqqqiBwG42Tqw2rVyasqkYA8\nkBrAwmcWZq1fSDgQxsKpCzGmfQy2dG1BOBB2Xd+ABNAR6cANR92AaCiKeCKOaCjqt6TQghi/5cel\n2/WCgSA6Ih1YcuQSxMIx9Az0IKlJXPj4hQXXa4b4GwrGrn+4aSvWgS32iO6BhVMXYu9he2fFfUek\nA2ccdAYiwUimPfm1XTB+iaiYavZqhwM4A8BRluEMjxORb4rIN80ypwB4SUReALAEwCxV1SrWyZNq\nnUAfT8Qxb/U8zHxoJiYsm4CZD83EvNXzSrq8ICABtIXbsm4bTNPHb7lxWcp6wUAQ7S3tCEgAIoJ5\nq+e5Wq8J4m8omj52/cJNW7EObLHy9ZWY+dBMnPO/50BVM3GfbgfW9uTjdsH4JaKCqvbLi6o+BUCK\nlLkRwI3VqoNf1DqBngnPxTF+y4+TWq9H2Ri7/uEm5ssd2MKvGL9EVIwvv5ZpNLVOoGfCM7lRbpzU\nej0iv3IT8+UObEFE1Kh48uIBtU6gZ8IzuVFunNR6PSK/chPzdgNbLJq2iO2CiJqW+O0y0cmTJ+u6\ndevqXY2KS2kqk2DpNtEyd52ABNAabM27b7etZCqJeCKeSZQOBoKZ8gJBJBRBz0APoqFowdnOy5G7\n7yHso+ClBV7kpfh1E3Nu4zL3mEZCEfQmerOOsUKzlkVCEYQCoYLbqUb8eQRjlwAYMd+X7INCEQ1F\n89pPPBFHa7A1r+30JfsQCUbQm+zNtM/cx6Uk7Jf4GdSQ8Tvu0pWut/fGj2YOtUpUH76LXcrHX148\notQE5PQoNXOemINJyyZhzhNz0D3QDVVFPBHHhY9fmFne2duZNfxmSlPY1rcNc1fNxaRlkzB31Vxs\n692Gy9ZchjlPzMH2vu24bM1lmLtqLjp7O5FMJSv2OtMj51j3Xel9UHF28ZMbJ4C7uLQ7ptt6t+Hu\nV+/OPO4a6ML23u15ZRKpRFad8uKyb1tJw4YT+UlKU0bb6NueaYt3v3o3tvUOtoN0nxwNRTPtbMrd\nU7DslWW2bXjZK8sKtmmnerjpD4iIvIAnLz5VaJQaN6PX5Ja5/OnLcfb4s/PuL1izoKI5B9aRc9L7\nrvQ+qLihjnCXuy27Y3r02KMzj3f07cD8NfPzyvQmeqtSJyI/iCfi2NG3A5c/fXkm7o8ee3Ree7Lr\n2+3K5bY7t+2HbY+I/IQnLz7lNEqN08g0uddQ25XZf8T+tvcrOapNs42c41WVHNnL6ZimYwgAxrSP\nKXrcOdoYNZtoKJrXNvYfsb+rvt2pnLXduW0/bHtE5Cc8efEpp1FqnEamyf3lxa7Mph2bbO9XclQb\njpzjDZUc2cvpmKZjCAC2dG0petw52hg1m3gintc2Nu3Y5KpvdypnbXdu2w/bHhH5CU9efKrQKDXX\nzrgWK09aiQ1nbMDKk1bi2s9di0gwgu6BbqQ0ZbvuVYdfhaUbl+bdr/SoNhw5xxvcjuyV0lQmbtK3\ndtuyO6aPb34883hE6wgsnrY4r0wkFCm5Tm65qTtRPUVDUYxoHYGrDr8qE/ePb348rz0tnr4YwUAQ\nd3zhDqw8aSVm7jfTtlxuuyvUfqztIiABjvRHRL7B0cZ8zG50GADo7O3E/CfnY/176zHxIxPxgyN+\ngOueuw7vx9/H4umL0RHpAADHkcqqOdpYSlPoGehBUpMY1jIMu/p3IShBxMKxcmaD9t2oIV6K32Kj\nC6WTeK2xlI6f3HK5xzQcCGdGT0pvO6WpoqONlTPqntNrc1P3OmLsEgAjVvuSfZkvluxGG0ukEpi3\nel5WLKsqHnvjMRyx9xHYe9jeJY02Ztc+rp1xLUKBEEcbc4mjjfmW72KX8nniU5zKYzcSlF3i5WVP\nXZZJwE8nYeaum/6gagu3ZU4k2lvaKz5MbTwRx9xVc3HEiiNwyF2H4IgVR2Duqrm8PKEOio0k5jaJ\n1+6YfvuJb+ftIxQIob2lPRNbuScuburkFhOQyS8CEkA0FM3Ee7ptpNsKAMxbPS8vlrf3bccP1/4Q\nMx+aiXP+9xwAQDAQdNV+7NrHvNXzMvUZStsjIqo29k4Nxk0yfj0vBWBiqH+4PVZePKZerBNROYr1\n6enHpcQ22wcR+RlPXhqMm2T8en77zMRQ/3B7rLx4TL1YJ6JyFOvT049LiW22DyLyM568NBi7pOcf\nHPGDTAJ+OgkzN5k5nohn8g2ckpyHkgCdXicSjOQlbjMx1JvcJtBHQ1EsOXIJnpr1FF448wU8Nesp\n3HjUjQBQNFaqlVRf6eR/olqytgdVxbUzrs2L5ZGtIzFzv5mZxwEJuJ6Qkgn6RORn+Redk++FA2Es\nnLoQY9rHYEvXFkSDUVx9xNWZRE4gP6n/qsOvwurNqzFj7Axc/vTleUnOduu4TYDOTQ49/5Dzcd2R\n16E93D6kpGyqvtxYCgfCeWXSJ70L1izIHN+TDzg587hQon+1kuoDEkBHpAM3HHXDkJP/iWrJrl0s\nmrYIi6YtQkekA1u6tgAKPPDXB3DJlEugqvjx2h9nDcjiFOfWbe8R3QMLpy7MJPuzfTS+8XeOd112\n41kbq1gToqFhT9Vg4ok45q2eh5kPzcSEZRMw86GZmPd/89Cb7C2Y1H/505fjuI8dlzXTszXJeSgJ\n0Lnr3rThJly86mLEE3EmhnqYbSytnpd3zHsTvVkzfReaITx3+9VMqq9U8j9RLdm1iwVrFmB73/ZM\nO5y/Zj6OHnt0JnF/5esrXbUf67ZXvr4yK9mf7YOI/IK/vDQYN4mYTmWGtwwvuG65CZ5MDvUnt8fN\n7czffkj0J6o3twn66XZWSuI+2xwRNYKqfdUiIvuIyCoReVVEXhaRi2zKiIgsEZHXRORFETm0WvVp\nFm4SMZ3K7Ozf6bjuUBI8/Zgcyvh1f9zczvzth0T/RsDY9Te3CfrpdlZK4r4f2hzjl4iKqebvxAkA\n/6aqnwDwGQAXishBOWWOBXCA+XcegFuqWB9PcEqUr1Sycm6i8oUTLsR1R16HaCiKrv4uJFNJ22Tm\nqw6/Cr/522+yZnq2JnEOJQG6UJ0qOShAhTVU/Jbzvro95pFQBNd+7lqsPGklNpyxAcNahuHaz+Un\nGEeCkaw6RIKRqiYNeyiWaq2hYrfRWOMx3Sf3DPRkxWhugv6iaYvw+ObHM4+v/D+4EMUAACAASURB\nVOyVeHzz43nL7dpPbvyntz1zv5lYedJK3PGFOzLlPILxS0QFiarWZkcivwZwo6o+Zln2UwCrVXW5\n+fjPAGao6rtO2/HzLM92iZhXHX4Vljy/xFWyZSn7Sc+2vK13G+avyU787Ih0QESyZjIPSACtwdas\nmZ5zkziHMvt5oToNYVCAms2U6+f4LTcxPplKoqu/Czv6d2QS9ke0jMibvNRp+23hNrQGWwePe9+2\nvDKjWke5mhG8Vq+5hhi7Tcg2LqctRkITuOypy2zbT89ADyKhCHoTvYiFY+gZ6EE0FEVvsheRYKRg\n+3FqB+3hdnQNdA2lfTRk/I67dKXrer3xo5muy3oFE/YB1DB2qXpq8ikuIuMATATwbM5TYwC8ZXn8\ntrmsITklyp89/uyKJiunE5TjiTjmr8lP/EyfrFiTmdMfetaZnnOTnIeSAJ1epzfZm1enSgwKUE1+\nj99y39d4Io55/5c/+IPbxPv0kKyZ425TxjqQRCWT6r0aS7Xm99htNHZx2ZPowWVPXebYftpb2hEK\nhNDe0p55HAwE0RZuy9w6tR+ndpBIJXzRPhi/RGSn6icvItIO4AEAF6vqztynbVbJ+ylIRM4TkXUi\nsm7r1q3VqGZNFEvErHTiZG4idXofsXCsYvsoVaGEUS8mkzZC/Jb7vrqNn6EMElGtY+vFWKq1Rojd\nRmMXl2Pax1QtVp3agVPb9lL7YPwSkZOqnryISBhG53OPqj5oU+RtAPtYHu8N4J3cQqp6m6pOVtXJ\no0ePrk5la6BYImalEydzE6nT++gZ6KnYPkpVKGHUa8mkjRK/5b6vbuNnKINEVOvYei2Waq1RYrfR\n2MXllq4tVYtVp3bg1La90j4Yv0RUSDVHGxMASwG8qqo/cSj2MIAzzZFDPgNgR6FrVv3OKVF+6cal\nton1pbAbCCAaiubNZr9o2qKqfrtWLEm6UBK4l2ZFb6T4jYaiuHbGYEL9ypNW4toZ19q+r4lUAl39\nXZnjtuTIJdnrfS5/PTfHrdbH1kuxVGuNFLuNxhqX6YT5Me1j8vrpxdMXIyCBkpPoc/vfQoNieLV9\nMH6JqJiqJeyLyBEA1gDYCCDdA18GYCwAqOqtZid1I4BjAPQA+IaqFsyo83vSaG7Se0ACaAm0OCbW\nWxOjC23TaSCAcSPG4auf+Craw+2ZRE832yz3tblJki6U+F/ioABVS7xrpPh1e1wSqQS29W7DgjUL\nsuLwgb8+gJ++8NOCSb1ujttQBnwo93XXcn8lYuw2qZSm0JfsQ/dAd6ZNnn/I+Zj9j7MxrGUYuvq7\n8MjfHsHv3vpdSUn0Tu3caVCMIbaPhozfRk/Yx8IRJZTdUb161BcT9htAzUYbq5RG/ADt6u/C3FVz\nsfbvazPLpuw5BUuOXIL2lvai63cPdGPOE3Py1v/OYd/BVx7+CqbsOQU3HHUD2sJtVal/sXpUcd++\n64TqEb9uj4tTHKbjyGk9Kgtjt4kV6rN/+McfltV317j/bcj45cmLtSxPXsi7PPM1ZDMbamJ9rQcC\nKLUeXrgUoZm5PS5OcVjKDN5EVFyhPrvcvpv9LxE1C568eMBQE+trPRBAqfXwShJos3J7XJzisJQZ\nvImouEJ9drl9N/tfImoWPHnxgGgoikXTFuXNQB8Lx9Dd34V4Ip6ViJ++n0wlB5MybRLz9xuxHx47\n5THccNQNebPZD3X2cbsBAuzq4ZUk0GbmNjk3ErKPo9wZvFuDrZmk/vTgEtZE/67+LiRSibz4SqWS\n6DbLdPd3IVXioBREfpa0tBGB5CXu3/GFOzCsZRiumX4Nlm5cmrl0WFXz2lW677d+FgQkkN/Opy1G\nJBgpq48nIvKqUL0rQEAwEERHpANLjlyCaCiKbb3bcPGqi/OS79+Pv59135pMff4h5+O6GdehvaUd\nXf1d+MWffpFJsr7q8Kvw/We+j/fj72cSOO1mOx9KYqh1gIDrjrwO7eF2LyZJN61wIIyFUxdiTPsY\nbOnagnAgnFcmIAGEg4Pltsa3IhqK4rj9jsO548/NrNfd3415/zcvc+xvPvpm7OrflZfov+H9DZj/\n5PxMfIUlnLXeYnNQikCVBpAg8opkKoHOnMEwFk9bjP/83H8iqcm8vvjqI67GQGrAtl290/UOPtr+\n0czy8w85HycfcDIWrFmAPaJ7YOHUhdh72N7oHujGPa/eU3SwDSIiv2Ev5hHBQBDtLe3oTcTzZqC/\n/OnLcfb4s/PuL1izAEePPRoJTeCmDTfh4tUXY2f/Tly8+mLctOEm2/XTsygPZXZlu/XT+7hpw024\neNXFiCfiFZ0xncoXT8Qxb/U8zHxoJiYsm4CZD83EvNXz8o53brld/bswd9XcvPV29O/IOvYDqQEs\nWLMga9mCNQswZa8pWfGVu978NQt4SQs1hXiiN6+NzF8zHyJi2xf3JnuRSCVs29X+I/fPWn702KMz\nj1e+vhIzH5qJc/73HGzr3Zb1OVBKH09E5GWufnkRkdEAzgUwzrqOqv5LdarVvKJFkqad7qcfD28Z\nXnT9oc6u7JUBAsgdt4m8ueXSycO5641pH5O1rC3cZltueMvwguutf289oi4HpSDyM6c+16m/TrdN\nu+dy25vbdsp+mYgahduvxX8NYASA3wFYafmjCosXSZp2up9+vLN/Z9H1hzq7slcGCCB33Cby5pZL\nJw/nrrela0vWsu6BbttyO/t3Flxv4kcmIu5yUAoiP3Pqc53663gi7rhObntz207ZLxNRo3B78hJT\n1QWqep+qPpD+q2rN6myoCe3lioaiWGxJ3p+y5xRcdfhVmQRO6/3cZOqrDr8Kv/nbb3DV4Vc5rl+J\n2ZXt1rfbB3mD2+OdW+7xzY9nDSSRXm9Ey4isZeFAOK/commLsPbdtQXXWzxtEeOEGo7dZ0c0FMlr\nI1d+9kqsfXetbRuLhqJ5A7mk29Wm7Zuylju209YRZffxRERe5mqSShG5CsDvVfU31a9SYbWYKM3t\njORV238qaSS7h2OID/QgEAiiNdiKeCKOgAQy9yPBSNbMyQJBJBRBb6IXCs0st64TDUURUCDVtwPx\n3u2IjhiL+I7NiEZGItA6Agi4e325szPn7aM2uS6+m2yqHhP9pTSFXf27sKNvRyZhf0TrCAxrGZZ3\nnHKPa26MRUNRqCriiThi4Rh6BnoQDUWgyQR6dQCxcBt6BroRCbSgTxNZ68FcLx3X0VC0mZP1GbsN\nqNBnh2oK8USvpd1EER/oQmTzWvTt/jFER+6b138mzc+C9DqRUAR9yb68dmnXTgFkteUK98sNGb+c\npNJalpNUkncVzHkRkV0AFMbBvkxE+gAMmI9VVYcXWt+vrAnpADLJjrWaWTwQCKKtpR0AMrcAsvad\nvt8WaMt7zjq5pd066O9C4N4z0PbGGmM5AIybBsxeAbQO7q9gHSUwWAe7fZBnpBPx3cy8bXdc82JM\ngHYzLttb2oG+LmD5LLSb8dQOAOOmITR7BWDZHgS2cU3UKIp9dmTajQK464RMmwkBwLhpaDPbTFp6\nIBdgsM2FAsbHdm67tPsssOujiYj8ruDJi6oOq1VFvKThZypuiQGbn8letvkZYzk1nKrHM+OJCEAJ\nbY1thoiobK5+QxaRx90saxQNP1Nxfw8wdmr2srFTjeXUcKoez4wnIgAltDW2GSKishU8eRGRiIjs\nBmB3ERklIh3m3zgAH61FBethqAntFZVKAr07AU0Zt06zkqdSxuU7at6mCgwwEI4Bpyw1LhULhIzb\nU5Yay91Wq04DGlDpSornUuIoLRxD6rRl6L5oA1JXdBq3py1zF095+0uWvn8ij3BsayrZMW3tg8ef\nCsxZD5z1MAB1FfPsf4momRWb5+V8ABfDOFF53rJ8J4CbqlWpegtIAB2RDtxw1A3VSnZ0J5UEurcC\nD5xjXFIwdipw8h1A22jAmuicSgE9W4H7zx4sd8pSIDbaPgE/EDCem73CuEyhv8f4MC0hWb+eAxpQ\naVzHc6lxlF5NgE4kMf+P38+OByny7Uju/qYvACadmR3vLvZP5BUBBToQxA2H/b/BwVA0iMDvbwSe\nXJQd07HRwFfvA/p3ldTm2P8SUbMr2NOp6vWquh+AS1R1P8vfIap6Y43qWBfpxGXrbc31dxv/yL2x\nBkgljNsHzjGWWw30GB9+1nL3n20sdxIIGMn5Yt6W8M+hNSmVszf7g6t4LieOMIR4yN3fQcfnx7uL\n/RN5xkCPMRjK9RMQuLLDuL3vDCO2c2M6EDB+jSmxzbH/JaJmV2y0sa+Yd7dY7meo6oNVqRUZWtvt\nkzpzRwSrcfJnww9o0KzKjKOy4yF3f7sfyCRm8jenNrT7gdmP0zFdRptj/0tEza7Y1+1fMv/OBrAU\nwNfMvzsAnF7dqhH6uuyTOvu6spfVOPmz4Qc0aFZlxlHZ8ZC7vw/+zCRm8jenNvTBn7Mfp2O6jDbH\n/peIml2xy8a+oarfgDHXy0GqerKqngzgk8U2LCI/E5H3ReQlh+dniMgOEdlg/l1R1itoZC1tRo6L\nNbH+5DuM5VYVSMAvhacGNKiSpozfMuOo7HjI3d8rj+THexXjuJE1Zfx6gV0bOvkOI7btYrqMNtfo\n/S9jl4iKEVUtXkjkJVX9lOVxAMCL1mU260wH0AXgLrtyIjIDRi7N8aVU2DezPKdSxnXLuQnxTssd\n1k0lE4in+hANtyE+0G3OSh7KL5foR1wHBssFWhAIhoGBXkCTxgmPm3q4qR/yZ2Kvy4AGVZwp16vx\nmzJn3C55lnqXxzW3XCocQTzRm70/SN62UjDjwRqn/T3GJY59XeYJd/56AHKWRYGBeFkDSfhMVWd5\nrkb8+qbvrRXHPjRhPM7Efsz2caqlDfFEDyKhGOKJOGIltGkP9L8N2feOu3Sl6+298aOZpezeGxaO\nKKHsjurVo76q2vdSbbjt7VaLyKMi8nUROQvASgCrCq2gqk8C6BxqBX0pPYrS8lnA90cbtz1bjdHD\nbJenbNdN/fF2dPbvwJxVF2HSskmYs+oidPZuQyqVzC83sCu7XP9OpF57Auj5AFg+22U9XNTP5IkB\nDarIi/GbSiXR2duJOavmmsd5Ljp7O414KLyi6+NqHcghFY6is3db/v76dmRvq28HAt0fou0XsxH4\n/mi0/f4WBLo/AFZ81Siz4qvGqHkD3fl1AHIGjgiWPZAEDfJi/DYUxzaVAKyx/4dbsx+v+CrQ/QFS\nf1uNzq4tWPbqPXi3+13Mtbaxvm1Fhz5u5P6XsUtExbjq8VT12wB+CuAQABMA3Kaqcyqw/6ki8oKI\n/I+IFL0UzTecRm3q7y4+soxl3fghp2H+mgXZo8qsWWBc2+ym3L6fBn71Lff1cFM/sqpp/MYTced4\nKGQoo4jZ7a93e/a2erYBDxQZNeyBcwbvM7a8ojH731pw7ON7smPfoS3EPzYd859ZiKPHHo0rfn8F\nRw4rHWOXqIkVm+clwxxZrJKjiz0PYF9V7RKR4wD8CsABdgVF5DwA5wHA2LFjK1iFKnEaQcZp9DDr\nyDKWdaOtw+1HlUlfblO0XFtp9XBTP0qrefxGw7HC8eCk3FHEnPY3Iuc1jNrX3ahhkRH5yxhb9eIq\nfn3X99aK2z7eoS2k++z9R+zPkcNK17j/OxCRKwV/eRGRp8zbXSKy0/K3S0R2DmXHqrpTVbvM+78B\nEBaR3R3K3qaqk1V18ujRo4ey29pwGkHGafQw68gylnXjfTvtR5UZ6HFZrru0eripHwGoT/zGB3qc\n46GQckcRc9rfjs3ZBbe96W7UsN4d+csYW3XhNn591/fWits+3qEtpPvsTTs2ceSwEjX0/w4+Nv7O\n8a7/iIaq2GhjR5i3w1R1uOVvmKoOH8qORWRPERHz/mFmXT4cyjZrLpUyPqzUvE3nEDiNINPSVnxk\nGcu60RfuxeJpizKjylw44UJcd+R1iIZj6BZFavZy23JT9pyCxdMWIfrms8CJNw/ub8Z3gVn3mKOY\n5Y6IY9Zv1j1GOWv9JJD/GptcPeI3GoraH+dSR/Uyj2sqHEX3QDdSmsrcWmM6igAWT8sZ1WjaYkQj\nI7O3FRsF/PMyYM564IpOoHWE8Tg3vtL3OZJY3TVE/1tLuX19OJrfpmYvB4LhwRHzxp9qtIWzHjba\nxvhTM3EfTSkWf/YqPL75cVz52SuLjhxmbaOZttqkGLtE5Ha0sSsBPAngGVXtLlbeXGc5gBkAdgfw\nHoD/ABAGAFW9VUS+DeACAAkAcQD/qqq/L7Zdz4x4k07YvP9s47KAsVOND7PY6KGP5mUzilgkFMO2\n3m2Yv2Y+1r+3HhM/MhGLpy1CR3gYAqGW/NHGJIxAqGVwtLFwzEgcfcCs7/QFwKfPA1qHA307gWdv\nA55cZLyOk5cCbbsbdUglgHvPsH+N9VfNEW88Gb+VGm0sFY6is28b5j9piafpi9GBIALp4z19AVKH\nnYt433ZER4xFfMdmRCMjjdHuurYal4ttexMYtifQt2swttIxFAgB0ZFGmdgo47F1vdgo4587b8RS\nrVV7tLGKx69n+t5ac+zrdx8cGS/RD/RuN/JbPvElYMJXB/NirOukFHjscmDX35E6bRniwTAi5ohh\nsXDMduSwlKbQ2duZ31YjHfVM1G/IvpejjVnLljbaWCm/qGw8a2NJ264wjjbWANyevPwLgCMATAWw\nC8AaAE+q6q+rW718nvkA7esyRph5Y83gsnHTgNkrjOueK6y73xhNbO3f12aWTdlzCm448nq0tQwr\nv77/fBdw35n2rwOo6Wssg+86Ia/Eb/dAN+Y8MSc/ng77f2i7foKx4FvPAL+Zn3/8v7QEuMFyqcuC\nN4wTXLvYWryf83reiqVaY+z6hZu+vnenMZJYuoxT2zluMXDzVPttOHBsq0fdgLZwW4E1q6oh45cn\nL9ayPHkh73KVsK+qPwPwMxHZE8A/A7gERhKci/+aG1SZSdDliobbnJPy3XCqb3Rk4dfBBP6GFA1F\niyfjOyXej9o3e1lkhHNsFVqPsUR+4Kavd5moj90PdN6GA8e2yqR+ImpSrn5zFpE7ROT3AG6BccJz\nCoBR1ayY55WZBF2u+EC3c1K+G071jW93fh01fo1UO/FEvHgyvlPi/bY3s5f17nCOrULrMZbID9z0\ngy4T9fHBn5234cCxrTKpn4ialNsLZncDEASwHcbkUR+oaqJqtfIDp6R8uwTkVNK4rEBTxlwq6fsD\n8cH7vTuN/BIHjsnaCJpJpLuMD8K8+2aSvV19T7wZ2PjL7KR+6+so5TVS/Vjjq3en8TivTHbCcTQY\nweLpi/MThWO7Zyfez1o++HjOeuC0ZcCIMcClbwH/sc24DTsMAPH6U9lxExvFWCJvsxuExdoPHrsY\n+M4WIzm/JZbdb5/1sHEJ5RUfApEOmzZxB/DKIyXHfzQUtW+r/OWFiJqUq5yXTGGRTwD4IoB5AIKq\nune1KubEU9ddu0q+Txqziz9wjpHYfPQVxsSRn/gScNAJxvJMkvMdRqJ8wOZqvlQKqYFuxDWFaOsw\nxPu7EE0mEbjPkkx/4s3A41cCu/6efT+dXNq305hQcNS+xvLoCKPO6aT+lrb81+HmNdaP765drXj8\nWuMrK45GG7PVA44Jx6nY7ognexE1E4ajwQgCPR8Mlpu+AJh0Zs62lwLBFsAadyffYQz8sOvv2cn4\nwVYgHBmMG8DLsVRrjF2vKTQICwAk+40vnPp3GX24Nf6fu2twwJMTbgReuA847Fwj3oftafS9rcOM\nuG9tLzn+U5rKJPPbJfXXQUPGL3NerGWZ80Le5fayseNFZBGAnwH4JoAnAFxRzYr5QiBgfBCJeWv3\nQdTfPTjD8rR/HZzxfvyp9rOQO11GMNCDwPLZaPvRWAS+NwptO942Tlys6//qW8Y+cu/ff7ZRj3vP\nMBKmr+wArj0I+MUsY38tMeOD1e51uHmNVD/W+MqKI8vlhA6zgQcG4mgLtyEgAeN2IJ5dznZ28LOB\n+Lb8/SX7BmPrholGrGkqO24YS+RlDu0EAz1GrCb7jdhP9+HW+D/o+MHHv/628fi+M4C+HUabWDQO\nuOtEI/bLiP9MG7XcEhE1K1cJ+wCOhTFU8vWq+k4V69N4rImc1iROp0R5p5FncpNGiyWE5t7PTShN\nL2fCtL85HVdrHLkdXMJtjNkl3kdG5C9jbJGfFGsnre3Gr9NuEvHTbaeMBH0iIirM1dc3qnqhqt6r\nqu+IyPHVrlRDsSZyWpM4nRLl+7rst5ObNFosITT3fm5CaXo5E6b9zem4WuPI7cALbmPMLvG+d0f+\nMsYW+UmxdtLXZcS+m0T8dNspI0GfiIgKK+e35ysrXotG1tI2OPv47v8wOPvyxl8O3rcmdGaSQHOS\nrsMxI1k6nTxtlxB64s3Amp/k3z9lqVEPJt83npY2hziyDKHtOPBCJDvRPxzJLvfKIzbbXgpER+Xv\nL9ian9jP2CI/KTRASSplLGsfbd/echPxIx1Gv//KI8YlwnPWGwn9UGNbRERUNreXjVkx2akkAqT6\ngf+eO5gEfdo9g0mbpy0zLrnp3QEgADz0TSPxOTfpGjCuuU5vZ+xUY93Zy81E+25AgsBXbsu5b0kM\njY02JkVjwnTjCASNOJn1CyOm+rqMeLDGje2xjwDdH+Qn+rcONyaTTCfeh9uAk35qJB1vexMItRj5\nUVn7iwE9H2bH5ilL6/eeEJXDqY8EjET+dXcCE2YDG5YbSfkjxxr9dusw4NPnAp+7BNj5LvDodwcH\nSjl8jpGsbzcIAPteIqKylNN7nl/xWjSy3CTQ1VcD937NOMFYMdtI5PzeKOP23q8NJtm7Sbq+9wwA\nYiaADjM+cPPuWxJDmTDdmAJBIDLcOK6R4dknLpkyOce+v8c+0T838X7F7MGk43Qi/kBv9v4Gep0T\nnYn8xK6PTPe9Bx0P/OoCow8f6AHu/LLRb1+5m3F755eNtrLxl4NtIDnAtkFEVGEFf3kRka84LN8b\nAFT1wWpUqqE4JYE6JVrnJtkX2w4TQKkcTvFnl3hfLOmYsUmNLB3f1gEsig2Ykn7MgVKIiCqu2Ffv\nXyrwx8R9N5ySQJ0SrXOT7ItthwmgVA6n+LNLvC+WdMzYpEaWjm/rABbFBkxJP+ZAKUREFVfw5EVV\nv1Hg719qVUlPsZuBuRC7JNCTlxrfvBVKuHeddM1v8MhGXpwmspPzW2L2icfp+6XMCs7YJC8rtc/O\nXVcCRjy/8oiR6zJumtFPn3hz8bbCgVKIiCrOdcK+iMwE8EkAkfQyVW2ukccKzcBcKH8k2JKdBC1m\nYv5u/wDMusecebnbWP6V20pIumbCPdnIjdPpC4BJZ+Yn57ftnp/oD8mJsSgw9VtGMrJTzDE2yavK\n7bNz1x22JzDjMmDEPsBpdw/memUGTCnQVtg2iIgqylUPKiK3AjgNwBwYo42dCmDfgis1okIzMBda\nxzqz/Q0Tgfu/YSTmr74aWPE14wOtdZjxIVhK0jU/AMlObpwedLx9cn5/T36if16MBd3FHGOTvKic\nPttu3Y2/NPruu04Adr1jJOdryui3i7UVtg0ioopy24t+VlXPBLBNVb8HYCqAfapXLY8qJzHZaR1r\nYj6TN6mScmPOKbnYOiAEUSMaymAShfpu9ttERHXj9uQlbt72iMhHAQwA2K/QCiLyMxF5X0Recnhe\nRGSJiLwmIi+KyKHuq10n5SQmO61jTcxn8qbn+Dp+c2POKbnYOiAENRRfx28lDWUwiUJ9N/vtqmHs\nElExbk9eHhGRkQCuAfA8gDcArCiyzs8BHFPg+WMBHGD+nQfgFpd1qQ1rkudArzkDeTQ/yb5Y8mU4\nZkwmaZ19/JT/MhI+Z3zXyHlpiQF9u4wPw9yk0qEkm9JQ/By1jl83x9quTO6ycDQ75iId+XF78h1m\n3BXZFuPNr34OP/e/leI4mEQkewCL3AEtUgkACpz1sNGOxp9qrHvCjUZS/slLjXbWt4ttpPJ+DsYu\nERXgNmF/sar2AXhARB6BkbTfW2gFVX1SRMYVKHICgLtUVQH8QURGisheqvquyzpVjzVR8xNfAg46\nYTDZefoC4LR7gMgw98mXyf7s2cdPXgqcdCvQ/aGR85JefuLNwONXDs7OHNsd6PmAszPXQc3j101i\nsV2Z05YZ8ZW7XqAlO+b+eVlOcn4M6Pkwf71gi5GjxXjzNV/3v5VkmzAfAbo/yB/A4rm7gCcX2Q9w\nccpSoKUdCEWAT58HPHubUZZtpOIYu0RUjNveNnPhr6r2qeoO67IyjQHwluXx2+ay+rMmao4/NTvZ\nefXVwL1fM/4BdJN8aZcw+sDZ5gznOct/9S0jkT+dVNrfzdmZvauy8esmsdiuTM82+/Xi27KX3XeG\nsY10cv5Ar/16PdsYb83Bu/1vpeUmzPf32A9gcdDxzgNc3H82kEoao0Xee7rxOcA2Ui/NE7tEZKvg\nLy8isieMTiEqIhNhjDQGAMMBDDVbUWyWqUM9zoPx8zDGjh07xN26YE3UjI4cWrKzU9Kn08zL1kR+\nzs7sZZWNXzeJxXZlRu1rv96offOXWWPWaX926zHeGpGr+K1531sLxfreQgNctLSxT64/7/7vQEQ1\nUeyXly8C+DGAvQH8BMB/mn/zAFw2xH2/jewRy/YG8I5dQVW9TVUnq+rk0aNHD3G3LlgTNePbh5bs\n7JT06TTzsjWRn7Mze1ll49dNYrFdmW1v2q+37c38ZdaYddqf3XqMt0bkKn5r3vfWQrG+t9AAF07t\njW2klrz7vwMR1UTBkxdVvVNVjwTwdVU90vJ3gqo+OMR9PwzgTHPkkM8A2OGZa1atSZ4bf2k/E3lL\nW+nbKjbz8ok3G4n8nJ3ZDyobv25mqbcrExtlv150VOGYddpfbBTjrTl4t/+ttpY2+z79lUeMx688\nkv98uj+OjTL6abaRemre2CUiAIAYOW9FChmXj10N4KOqeqyIHARgqqouLbDOcgAzAOwO4D0A/wEg\nDACqequICIAbYYwq0gPgG6q6rlhdJk+erOvWFS02dKmUcR1zSwxI9BtJ3JBE3wAAHjxJREFU0daZ\nyO0mkXSzLWuSf9bybkCCRjKpYxnOzpzD7vKBymy4HvHr5ljblQFslqkRU4Vi1u22GG/VULXYBaoT\nvzXre2shlcxpH2a8Wx8P9Nr32YleQJNGm+rvBsJtzdhGGqvvNY27dKXrer7xo5muy3rGwhEllN1R\n0qbH3zneddmNZ20sadsVVtW+l2rD7Whj/2X+fdd8/BcA9wJwPHlR1dmFNmiOFHKhy/3XXjrJEzBO\nKMIR435k+NC2Zc07yFo+bHC5YxlOKlgrdYlfN8faqYzdsnSsOsVsKdsiX/F9/1ttgWB++8i9deqz\nrfkt1n6bKoKxS0TFuP26aHdVvQ9ACgBUNQEgWbVaERERERER5XB78tItIrvBHNEjfZ1p1WpFRERE\nRESUw+1lY/8KI0lufxF5GsBoAKdUrVZERERE1NR8lEtDNeT25OUVAA/BSI7bBeBXMPJeiIiIiIiI\nasLtZWN3AfhHAD8AcAOAAwAsq1aliIiIiIiIcrn95eVAVT3E8niViLxQjQoRERERERHZcfvLy3oz\nSR8AICKfBvB0dapERERERESUz+0vL5+GMaPtZvPxWACvishGGMOuH1yV2hEREREREZncnrwcU9Va\nEBERERERFeHq5EVV36x2RYiIiIiIiApxm/NCRERERERUVzx5ISIiIiIiX+DJCxERERER+QJPXlxI\npRRdfQmk1LxNab2rRNQ02P4aD48pERGVy+1oY00rlVJ82N2PucvXY+0bnZgyrgNLZk/Ebm0tCASk\n3tUjamhsf42Hx5SIiIaCv7wU0TOQxNzl6/HMpg+RSCme2fQh5i5fj56BZL2rRtTw2P4aD48pEREN\nBU9eioi1BLH2jc6sZWvf6ESsJVinGhE1D7a/xsNjSkREQ1HVkxcROUZE/iwir4nIpTbPf11EtorI\nBvPvnGrWpxw9/UlMGdeRtWzKuA709PNbwkbXCPHrd2x/5fFy7PKYUjFejl8iqr+qnbyISBDATQCO\nBXAQgNkicpBN0XtVdYL5d0e16lOuWDiIJbMnYur+uyEUEEzdfzdcP3sCouEAE00bWKPEr9cVS9y2\na39LZk9ELMxv6Z14PXbtj+kEBATsT8nz8UtE9VfNhP3DALymqpsAQERWADgBwCtV3GfFBQKC3dpa\ncPtZkxFrCaKrN4GfP/06ljzxGhNNG1tDxK+XuUnczm1/Pf1JxMJBtrfCPB27mWN65mTEWoPY/GEP\nrl75Kt7b2cf+lACPxy8R1V81T17GAHjL8vhtAJ+2KXeyiEwH8BcA81T1LZsydRUICNpbQ+jqS+D8\nZc/hmU0fAkAm0fT2syajvZUDtzWYholfr7ImbgPO7Snd/gCwnbnj+dgNBAQQ4Gu3P5s5/gDYnxLg\ng/iloRl/5/h6V4F8rpo5L3ZfneVeE/DfAMap6sEAfgfgTtsNiZwnIutEZN3WrVsrXE33mGjaVBou\nfr2G7alqfBG7PP7kwBfxS0T1U82Tl7cB7GN5vDeAd6wFVPVDVe0zH94OYJLdhlT1NlWdrKqTR48e\nXZXKusFE06bScPHrNWxPVeOL2OXxJwe+iF8iqp9q/ja/FsABIrIfgC0AZgH4qrWAiOylqu+aD78M\n4NUq1qdsqZSiZyCJWEsQd5w1GTvjA9hjeARvdfZgVCxsmzycSKQQTyTR1hpCd18C0VAQoVDAcbu8\nlt9zGiZ+vSqduG3Nebn9zElQVaRU0d2XQCwcRDBY/DsWu7YEIG+ZqlEu3S7dbt8ND7Vnz8Ru7nsS\nCQYy/aKq4u5zDsNbnXFc97u/4L2dfbj19EMBBVKq9X4PqX48E7+FjLt0peuyb/xoZvUqsnBE9bZN\n5FFVO3lR1YSIfBvAowCCAH6mqi+LyJUA1qnqwwDmisiXASQAdAL4erXqUy5rUvFHhrfiki8eiH//\n5YuZf7aunz0B7aqw/tKdSKTQ2dOPi1ZsGCw3awI6Yi2ZExjOMu1tjRK/XpabjN8/kMTO3kReu9mt\nraXgCYZdW7r19EPRn0xh7vINlvY1AeFgABfc/XxJ23fDS+3ZK7Gb+57cMHsCJu3bkXV8F518MB7e\nsAXfnfkJhIIB9CVTuMhyfNgnNh+vxC8ReZeo+mtoysmTJ+u6detqtr+uvgTOvXMdntn0IR69eDoW\nPvxyVoLp1P13w21nTsKwSDizbFfvAM6767mC5azbtZZhsmpJfPcfTa3j10/ctBs7dm1p9SUz8J0H\nN+Zt64dfGY8ZP15d0vbdKKM9N3zs5r4nG674PC64+/m892jhlz+JhQ+/jFtOP9T2efaJntSQ8VvK\nryml8OUvLwt3lFTcC0n4G8/a6KaY72KX8lV1kspGYE0q/fge7bYJpm05H6xtraGi5ZisSpTNTbux\nY9eW9umI2W5rn45Yydt3g+05X+57Mjwatn2P0v2q0/PN/B4SEVE+fp1VRDqp9JlNH+K197sy99Om\njOtAd18i65vb7r5E0XLW7VrL9PQn+S0jNSU37caOXVt6q7PHdltvdfZkretm+26wPefLfU92xgds\n36N0v+r0fDO/h9SkmMdCVFBT/PKSO4t3MpmyndXbbrbvWDiIW08/FKsvmYGPjW7D9bMmZM0Mff2s\nCXkJ+9FQ0LZcNDRYzrrdv/3gOKy+ZAZuPf1QzhxOJSs2S71f6hALO7ebXb0DSKliV+8AkslU3nq5\nM7aPioWxZPaEvFncR8bCRdtvOexnjZ/Y1O05Fg7i9jMnYcMVn8fffnAsggHBPed+GqsvmYETJ3wU\nU/ffDYtOPhiPvvQulsyeAAVwfd4xa+73kIiI8jX811l2ibTXz5qAFX/cjCVPvJZJCu2IhdHZM5CX\ncNsRC6M/mcJ3HtyItW90Yu5RH8dPz5iE9kgIO+MDCNkkkoZCAXTEWnDbmZMKjjZm3W46oZioFF5I\nFK9UHUQEsZYgbjn9UAyPhrEzPoBIKGA7+IU1yT438T89qpX2J/DDr4zHPh0xvNXZg3AwgPaWUFa7\nrNRoY3Z1aPaRstQcMWzFHzfjxIl7Y8EDL2b1dbGWECLhAE6dvA+uXvlqZrSx28+cjFgr30MiIrLX\n8An7Tom0C7/8SXzxuiczj287c5JjsrDd8vT65Sb8MmG/Inz3X02lE/a9EEeVqoPddpySvIu1uXKT\n/2uo4WM3fQzSCflOifq5fTH7QF9oyPj1TMK+By4bG7/f2HpXoWRM2G8eDX/ZmFMi7cf3aM96XChZ\nuND65Sb8MsGXKsELcVSpOthtxymJu1ibKzf5nyonfQycBjpJL8/ti9kHEhFRIQ1/8uI0i/Nr73dl\nPU4nC+eWc1qeXj9dplL14uzSVAovxFGl6mC3nXQSd+62i7W5Qu2ZaiN9DNIJ+VbW5bl9MftAIiIq\npGEvG7POcN/Vm8DPn349k+Nyy+mHQkQwLBLCrt4EQgFBJBzAh939uChnUrtRsRZ09yWwrWcA+3TE\n8P7OXgyPhhFtCaKrN4GWoKAlHERvfxIpVcRaQ3kzSfcPJDGQ0qzr7EUkPxdntnEtf3wgxWu93fHd\nG1Tpy8bqkfOSO2t61MxLyZ0Qsq0lhEhLMBPzqsi0iXQeWCAgg9vqS6IlAPRZ2kprQLC9L5HVLq+f\nPQEd0Za8beU+7upPYLvZbt/q7MHIWBjDWkN5OS65r8eu7bkpU6KGit3c9ycSDCCRSqE3kUJfIoW2\nliASKcXwaBhdvQm0pXNaMjEUxNvb49i9vQWAMOfF+3x3UHjZWGl42Rh5WUNeQ2E7w/3sCbjwqI+j\nbyCFrv7sf4auOfVgPP7qe5h58F55Cb69Awn05STWX3PqwfjuQ3/Gezv7cP2sCXjl9Q/x8T2G4d9/\nOZiQmh4UYEQsjGM/tZdtwrE1wTf3BIszS5MbtU4UtztZuv3MSQgHA3lt5441mzLxvPSsyejqS2S1\ng1tOPxQDyVTWSU/uYBrXzzZGA7NuuyUYQG8iifPuei4ziMasw8bmtffWYCBvQAyR/JOSYid/XhgU\nwcty35/08diyvQdjRsXw/JudmLRvR9bxWXTywfjV+rdx4sS98av1b2PWYWMRCQt6+pNZ5fg+ExFR\nroa8bCyeMD4An9n0IRIpxTObPsRFyzegpz+JpCouWp793L//8kWcMGEM5vxiA2b8eDU+dtlvMOPH\nq3HB3c9DIbblL5jxcWO7Kzbg0LEd+Pdfvpi9vxUb8MVP7YUTJozJr8uKDegZSCIQELSbv9Scv+w5\n/OR3f82Umbt8PXoGePkEFZeOo4CYt1X8R69nIIm5y9dnxXMipbjg7ufz2s4XP7VXVpncdrC9ZwBz\nl+e3Det6Fy3fgA+6+vO2bd3uF80vB3Lb+7aegaxlc5dvyGtTdq8nt+25KdPMct+f9PH42OhhuGj5\nBkz92O55x2fBAy/ii5/aK3N70YoNaGsN55Xj+0xERLka8peXYsm6ds8VSgwulrDfHnEuI2K/P2vi\nsBeSroncKCWp3pqIbddG9umIuRpMY5+OWF6Z4dHBEcOcEsLt1sttU27aHttnYbnvT/p4pI95ofiw\n3jr1tXyfiYjIqiF/eSmUrOv0XKHE4GIJ+129zmXcJBx7IemayI1Skuqtidh2beStzh5Xg2m81dmT\nV2ZnfCDz2Ckh3G693Dblpu2xfRaW+/6kj0f6mBeKD+utU1/L95mo9ja+vrmkP6JaaqiTl/Qs39EC\nM3VHQ/nPXXPqwfj1hi245tSDM8tv+dpE3HbmJMRagnmzPl9z6sG4ZfVrWTN02+3v0Zfexa83bLF9\nzjprNGfnJr+wi9VQQPJjfPYEjBkZwaYfHocNV3wercH8MiNjYSyZbd9urNsZGQvnlbHu+9GX3rXd\n/6ic9ezalN3rufX0QwEFUmr2J6EA22cBue9h+nj8besuXD9rAp752wd5x2fRyQfj0ZfezdxeP2sC\nuvsG8srxfSYiolwNM9pYbtLoDbMn4IgDRtvOcG8diay7L4GgCCItQcT7k0ikFG0tQXR2Dyb8zz3q\n4/j64fuhPZJdvrsvgaf+uhVzlm/IKuNmtLFyRjyiPL57gyo92lg92I0s1ZtIZo0mlVIjD8aaiN8R\nyx8hLGu0sZx2ky4D5I9SJmLkWjiNNpYe0c9Nm7K+nt6BJLr7Ejkjp01ERyyMeCLF0cYKjTbWn0Ss\nNYjNH/bgjQ+7MGGfUWhvCSGeSCIaDiJuOV6xliC6+5JoazX63UgoiN5kCtFQoNLvM1WH7w4KRxur\nLi+MTsbRxppHw+S8WJNGAeCCe9ZnZmvOnVE7FApgmHkik37OOrv3his+n0kcBYCf/O6veGZTZ9bs\n3F19iawZvNNlrLNDp/cRaQkhYu7baXbvdNI1AM4uTZ6WG6u5s9lvuOLzuODu5zOP04n41vZjbQe5\ncZ/bNh2XBbOX2ZVx06asryelyAwikK773OXrs9o122e+QEAAAb52+7OZ9w4Apu6/G247cxLOWPpH\n/PSMSY7Ph0IBtJvHr908rnyfiYjITsNcNjbUpFrr+m5m9WYSL5EhN9HaTfvxKrbr8jm9d+n4cBrY\nxA9xQURE3tEwJy9DTaq1rs8keyL3chOt3bQfr2K7Lp/Te5eOD6eBTfwQF0RE5B1VPXkRkWNE5M8i\n8pqIXGrzfKuI3Gs+/6yIjCt3X0NNereu75Rkn77+vhL7I++rZfz6We6AFXYJ2rntx6sapV3XI3YL\nvXdLZk/MJPD7MS6ottj3ElEhVUvYF5EggL8A+DyAtwGsBTBbVV+xlPkWgINV9ZsiMgvASap6WqHt\nFk0aHULSu3X93CR7a8J/pfZHQ1a1N7se8etnyWSqYAK9Xfvxqhq164aMXaf3Lr3cbkAGv8QFZWnI\n+GXCfvmYsE+1VM1PjcMAvKaqm1S1H8AKACfklDkBwJ3m/fsBHC0iZQfWUGcat64faQlhWCSMgAiG\nRcK2H7C1nNmcaq7m8etnwWAgr70Uaz9e1QDtum6x6/TepZf7OS6oZtj3ElFB1fzkGAPgLcvjt81l\ntmVUNQFgB4DdcjckIueJyDoRWbd169YqVZcoC+OX/IqxS37G+CWigqo5zIvdtyC516i5KQNVvQ3A\nbYDx0+/Qq0ZUFOOX/IqxS37WcPFb6uVob0SKl/Gaja9vdl3WC5eYkb9V85eXtwHsY3m8N4B3nMqI\nSAjACACdIKo/xi/5FWOX/IzxS0QFVfPkZS2AA0RkPxFpATALwMM5ZR4GcJZ5/xQAT2i1RhAgKg3j\nl/yKsUt+xvglooKqdtmYqiZE5NsAHgUQBPAzVX1ZRK4EsE5VHwawFMAyEXkNxrcms6pVH6JSMH7J\nrxi75GeMXyIqpmpDJVeLiOwC8Od616MOdgfwQb0rUSdOr/0DVT2m1pUZChHZCuDNIsX8fKxZd3ca\nNXYrycux5NW61apejRC/Xj2GbrDu5fNd7FI+P568rFPVyfWuR6016+sGmu+1+/n1su5UKV4+Hl6t\nm1fr5UV+fq9Yd2p2HGSfiIiIiIh8gScvRERERETkC348ebmt3hWok2Z93UDzvXY/v17WnSrFy8fD\nq3Xzar28yM/vFetOTc13OS9ERERERNSc/PjLCxERERERNSFfnbyISFBE1ovII/WuSy2JyEgRuV9E\n/iQir4rI1HrXqRZEZJ6IvCwiL4nIchGJ1LtO1SIi+4jIKvP4viwiF9W7Tm6JSERE/igiL5h1/169\n61SqZu1bvMjrbcGLsdKsnxHlEpFjROTPIvKaiFxa7/q4JSI/E5H3ReSletelVF5v1+Qvvjp5AXAR\ngFfrXYk6uB7Ab1X1HwEcgiZ4D0RkDIC5ACar6qdgTFbWyBORJQD8m6p+AsBnAFwoIgfVuU5u9QE4\nSlUPATABwDEi8pk616lUzdq3eJHX24IXY6XpPiPKJSJBADcBOBbAQQBmeyy+Cvk5AL/OUeL1dk0+\n4puTFxHZG8BMAHfUuy61JCLDAUyHMaMwVLVfVbfXt1Y1EwIQFZEQgBiAd+pcn6pR1XdV9Xnz/i4Y\n/3yMqW+t3FFDl/kwbP75JpmuWfsWr/JyW/BirDT5Z0Q5DgPwmqpuUtV+ACsAnFDnOrmiqk8C6Kx3\nPcrh5XZN/uObkxcA1wGYDyBV74rU2P4AtgL4L/NShTtEpK3elao2Vd0C4McANgN4F8AOVf3f+taq\nNkRkHICJAJ6tb03cMy+l2QDgfQCPqapv6o7m7Vs8z4NtwYux0pSfEUMwBsBblsdvg/9E15QH2zX5\njC9OXkTkeADvq+pz9a5LHYQAHArgFlWdCKAbgG+u0S2XiIyC8W3YfgA+CqBNRE6vb62qT0TaATwA\n4GJV3Vnv+rilqklVnQBgbwCHicin6l0nN5q8b/E0r7UFD8dKU35GDIHYLPPNL8V+57V2Tf7ki5MX\nAIcD+LKIvAHjJ96jROTu+lapZt4G8Lblm+z7YXxQNbp/AvC6qm5V1QEADwL4bJ3rVFUiEobRqd+j\nqg/Wuz7lMC9XWQ3/XJfdzH2LZ3m0LXg1Vpr1M6JcbwPYx/J4bzTwJcle4tF2TT7ki5MXVf2Oqu6t\nquNgJG0/oaoN/y08AKjq3wG8JSIHmouOBvBKHatUK5sBfEZEYiIiMF53wyahmq9xKYBXVfUn9a5P\nKURktIiMNO9HYZx4/qm+tXKnmfsWr/JqW/BqrDTxZ0S51gI4QET2E5EWGMfy4TrXqeF5tV2TP/ni\n5IUwB8A9IvIijNGcflDn+lSd+S3i/QCeB7ARRqw28sy8hwM4A8a3uRvMv+PqXSmX9gKwyozPtTBy\nXjwzjCz5jp/bQr003WdEuVQ1AeDbAB6F8YXYfar6cn1r5Y6ILAfwDIADReRtETm73nUqAds1VYyo\n8lJPIiIiIiLyPv7yQkREREREvsCTFyIiIiIi8gWevBARERERkS/w5IWIiIiIiHyBJy9EREREROQL\nPHnxKBGZISK2w82KyGoRmVzh/Y0UkW+52T+RW0OJIxG5UkT+qdA2zfuftTz3cxE5pfwaU6MSka+L\nyEddlLONIREZJyIvVaFejGFybahx7HIfvy+2TRG5WERilue6ytkXUTl48kJpIwF8q2gpohpR1StU\n9XdFis0A8NkiZYgA4OsAiv7TVwczwBgm976OKsexqrqJx4sBxIqWIqoCnrwMgYi0ichKEXlBRF4S\nkdNEZJKI/J+IPCcij4rIXmbZ1SJynYj83ix7mLn8MHPZevP2wMJ7zavDF0TkGRF5XkR+KSLt5vI3\nROR75vKNIvKP5vLRIvKYufynIvKmiOwO4EcAPmZOHHWNufl2EblfRP4kIveYM+RSg6lHHJvlHzTv\nnyAicRFpEZGIiGwyl1u/5TvGjMOnAHzFXDYOwDcBzDPjdpq5+elmHTbxG+zGZf4S8icRuVNEXjT7\nqphd7JpxMBnGRI4bRCQqIleIyFozjm8rpX8TkaCIXGOu/6KInG8un2G2kbx+U0SOS8ewiCwRkUcY\nw1TrOBaRm0Xky+b9h0TkZ+b9s0XkKvN+l3krInKjiLwiIisB7GEunwvjBGqViKyybPtq83PkDyLy\nkSq8XUQAePIyVMcAeEdVD1HVTwH4LYAbAJyiqpMA/AzA1ZbybeY3Gt8ynwOAPwGYrqoTAVyBEmZG\nFuOk43IA/6SqhwJYB+B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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.pairplot(data=data, hue=\"class\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "data": { "image/png": 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Uu9AxnJ2a6vPHic3zRZdz8nZ29XwspXGu19jU20g4SSCWRpKtojdV50gUXWZj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\nc3k4SW7OIqnFdI0ni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G89L10eI5ouMBDNsK+pApdddSlfyO6GipkT0fTvYNpLV8YZT+QY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aa3S3XOCCvfy+SOkYY24zxqwOKyCDNYb89SKy2N5vhohUjBL2q1gnHCJyK5Bvz+/G\nqi1UCSaG+fRlrIdHdhljmoFCrFrjI2GbHgcWiMgi+3Xojz7Nl4mtLJgPsT733Vw6b4bmhWBBo0Ws\n5zCGtfs1xuyx8+NqM3zEyK3AJ0QkxU6nQkQyR4jzOLDQ/oEI9jkSIS6VmKY6n+7Cuna+jFXZ8BmG\n34HDXv4+sdrYzwE2hyzTfBkl/bUwea4Evi4iAazask8APuC/RCQX69h/h4uFgnaxum7JAe635/0n\n1m3sTwMj3SoZxhjTLCL3AY+LSKo9+4vAyRE2+3d7/XuBl7BuEXUbYzwislOsLpKeB54bSyxqWotV\nPt2DVbP8sv36LaAppDYDAGNMv4h8FHhORFqwfsitsBf/EfiNiNwFfHIM71nFh2PAh0TkR1hDxD+I\nVYCNlDd/BvxQRPqwbj3/GKspUQ1Wm/ex+AlWM4o37AepmoF3XWplY0yfWF1kvmDn0b0hizWPJr6p\nzqevALcaY06LyFms2uRIheSngbfZ+z+J9Z0e9BDwvIjUG2M2R9hW2XRY6mlARHZgPdyxP8ZxpAJ+\nu83oBuD/GWNWxzImNX1Ml3yqEp9dK/usMWbFKKtOCyKSZYxx24Xq7wOnjDHfjnVcanLFWz5VY6c1\nySpUGfCkiCRhNeT/SIzjUUqpePAREfkQ1gPSB7jYjlQpFce0JlkppZRSSqkw+uCeUkoppZRSYbSQ\nrJRSSimlVBgtJCullFJKKRVGC8lKKaWUUkqF0UKyUkoppZRSYf4/6EFtfzq4/C8AAAAASUVORK5C\nYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# scatter plot matrix\n", "from pandas.plotting import scatter_matrix\n", "scatter_matrix(data, figsize=(12,8))\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "data": { "image/png": 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bBbxmUDFocVsIc2fCwpg/c1ht3LiRPSMKdu/ebSu1JGkoDbKFWlpQVqxYsWTn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\nrSKad+Pj40xMTPStvq1btwL9X253dHR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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "f, axes = plt.subplots(2, 2, figsize=(12,8)) #More than one dimension\n", "\n", "bp1 = sns.boxplot(data=data, x=\"class\", y=\"sepal-length\", ax=axes[0,0])\n", "bp2 = sns.boxplot(data=data, x=\"class\", y=\"sepal-width\", ax=axes[0,1])\n", "bp3 = sns.boxplot(data=data, x=\"class\", y=\"petal-length\", ax=axes[1,0])\n", "bp4 = sns.boxplot(data=data, x=\"class\", y=\"petal-width\", ax=axes[1,1])\n", "#plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data Preparation\n", "[Table of Contents](#toc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Split the data into training and test sets" ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [], "source": [ "# Import library\n", "from sklearn.model_selection import train_test_split, KFold, cross_val_score\n", "\n", "# Assign features and output\n", "X = data.drop('class',axis=1)\n", "y = data['class']\n", "test_size = 0.2\n", "seed = 7" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [], "source": [ "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = test_size, random_state=seed)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm Evaluation\n", "[Table of Contents](#toc)" ] }, { "cell_type": "code", "execution_count": 89, "metadata": {}, "outputs": [], "source": [ "# Test options and evaluation metric\n", "seed = 7\n", "scoring = 'accuracy'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We don’t know which algorithms would be good on this problem or what configurations to use. We get an idea from the plots that some of the classes are partially linearly separable in some dimensions, so we are expecting generally good results.\n", "\n", "Let’s evaluate 6 different algorithms:\n", "\n", " 1. Logistic Regression (LR)\n", " 2. Linear Discriminant Analysis (LDA)\n", " 3. K-Nearest Neighbors (KNN).\n", " 4. Classification and Regression Trees (CART).\n", " 5. Gaussian Naive Bayes (NB).\n", " 6. Support Vector Machines (SVM).\n", " \n", "This is a good mixture of simple linear (LR and LDA), nonlinear (KNN, CART, NB and SVM) algorithms. We reset the random number seed before each run to ensure that the evaluation of each algorithm is performed using exactly the same data splits. It ensures the results are directly comparable.\n", "\n", "Let’s build and evaluate our six models:" ] }, { "cell_type": "code", "execution_count": 95, "metadata": {}, "outputs": [], "source": [ "# Import Algorithm Libraries\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n", "from sklearn.neighbors import KNeighborsClassifier\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.naive_bayes import GaussianNB\n", "from sklearn.svm import SVC\n", "from sklearn.model_selection import KFold, cross_val_score" ] }, { "cell_type": "code", "execution_count": 97, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "LR: 0.966667 (0.040825)\n", "LDA: 0.975000 (0.038188)\n", "KNN: 0.983333 (0.033333)\n", "CART: 0.975000 (0.038188)\n", "NB: 0.975000 (0.053359)\n", "SVM: 0.991667 (0.025000)\n" ] } ], "source": [ "# Spot Check Algorithms\n", "models = []\n", "models.append(('LR', LogisticRegression()))\n", "models.append(('LDA', LinearDiscriminantAnalysis()))\n", "models.append(('KNN', KNeighborsClassifier()))\n", "models.append(('CART', DecisionTreeClassifier()))\n", "models.append(('NB', GaussianNB()))\n", "models.append(('SVM', SVC()))\n", "# evaluate each model in turn\n", "results = []\n", "names = []\n", "for name, model in models:\n", " kfold = KFold(n_splits=10, random_state=seed)\n", " cv_results = cross_val_score(model, X_train, y_train, cv=kfold, scoring=scoring)\n", " results.append(cv_results)\n", " names.append(name)\n", " msg = \"%s: %f (%f)\" % (name, cv_results.mean(), cv_results.std())\n", " print(msg)" ] }, { "cell_type": "code", "execution_count": 98, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Compare Algorithms\n", "fig = plt.figure()\n", "fig.suptitle('Algorithm Comparison')\n", "ax = fig.add_subplot(111)\n", "plt.boxplot(results)\n", "ax.set_xticklabels(names)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model Training\n", "[Table of Contents](#toc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### # Fitting the classifier to the Training set" ] }, { "cell_type": "code", "execution_count": 125, "metadata": {}, "outputs": [], "source": [ "knn = KNeighborsClassifier()\n", "knn.fit(X_train, y_train)\n", "predictions = knn.predict(X_test)" ] }, { "cell_type": "code", "execution_count": 103, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[H\u001b[2J" ] } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Evaluate Model" ] }, { "cell_type": "code", "execution_count": 123, "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix" ] }, { "cell_type": "code", "execution_count": 124, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy Score:\n", "0.9\n", "Confusion Matrix:\n", "[[ 7 0 0]\n", " [ 0 11 1]\n", " [ 0 2 9]]\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", " Iris-setosa 1.00 1.00 1.00 7\n", "Iris-versicolor 0.85 0.92 0.88 12\n", " Iris-virginica 0.90 0.82 0.86 11\n", "\n", " avg / total 0.90 0.90 0.90 30\n", "\n" ] } ], "source": [ "print('Accuracy Score:')\n", "print(accuracy_score(y_test,predictions))\n", "print('Confusion Matrix:')\n", "print(confusion_matrix(y_test,predictions))\n", "print('Classification Report:')\n", "print(classification_report(y_test,predictions))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Deployment Preparation\n", "[Table of Contents](#toc)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Summary\n", "### Basic Information\n", "* Number of observations: **150**\n", "* Number of features: **4**\n", "* Data types of features: **Numerical**\n", "* Target variable: **class** *(Categorical)*\n", "\n", "#### Other Observations\n", "* No missing data or corrupted data\n", "* Sepal length and petal length variables had the strongest correlation with class.\n", "\n", "#### Model Evaluation and Selection\n", "* Selected a mix of simple linear (LR and LDA), nonlinear (KNN, CART, NB and SVM) algorithms. \n", "* Used k-fold cross-validation (CV) procedure to evaluate the accuracy score of each algorithm.\n", "* Identified k-Nearest Neighbor (k-NN) as the best algorithm to use for modeling this dataset. **NOTE: Used default parameters for KNNClassifier module**\n", "\n", "#### Results\n", "* Prediction model has an accuracy of 90%\n", "* **Success Factors:**\n", " * High quality data (no corrupt or missing data)\n", " * k-fold CV for determining the best model\n", " \n", "#### Conclusion\n", "* Include k-fold CV procedures for supervised classification modeling.\n", "* Will try to evaluate efficacy for regression and clustering modeling." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.3" } }, "nbformat": 4, "nbformat_minor": 2 }