From 303246ad6f933226d052471d48550437cf685790 Mon Sep 17 00:00:00 2001 From: Zhuyi Xue Date: Sat, 29 Oct 2016 06:09:20 +0000 Subject: [PATCH] added scramble-experiment.ipynb --- scramble-experiment.ipynb | 896 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 896 insertions(+) create mode 100644 scramble-experiment.ipynb diff --git a/scramble-experiment.ipynb b/scramble-experiment.ipynb new file mode 100644 index 0000000..b338fed --- /dev/null +++ b/scramble-experiment.ipynb @@ -0,0 +1,896 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This experiment shows that even after the pixels in hand-written digits images are scrambled, they can still be clustered effectively. It also shows that t-SNE takes no information about the translation/rotaional/illumination invariance in a image, which is very different from typical image recognition tasks." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "# That's an impressive list of imports.\n", + "import numpy as np\n", + "from numpy import linalg\n", + "from numpy.linalg import norm\n", + "from scipy.spatial.distance import squareform, pdist\n", + "\n", + "# We import sklearn.\n", + "import sklearn\n", + "from sklearn.manifold import TSNE\n", + "from sklearn.datasets import load_digits\n", + "from sklearn.preprocessing import scale\n", + "\n", + "# We'll hack a bit with the t-SNE code in sklearn 0.15.2.\n", + "from sklearn.metrics.pairwise import pairwise_distances\n", + "from sklearn.manifold.t_sne import (_joint_probabilities,\n", + " _kl_divergence)\n", + "from sklearn.utils.extmath import _ravel\n", + "# Random state.\n", + "RS = 20150101\n", + "\n", + "# We'll use matplotlib for graphics.\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patheffects as PathEffects\n", + "import matplotlib\n", + "%matplotlib inline\n", + "\n", + "# We import seaborn to make nice plots.\n", + "import seaborn as sns\n", + "sns.set_style('darkgrid')\n", + "sns.set_palette('muted')\n", + "sns.set_context(\"notebook\", font_scale=1.5,\n", + " rc={\"lines.linewidth\": 2.5})\n", + "\n", + "# We'll generate an animation with matplotlib and moviepy.\n", + "from moviepy.video.io.bindings import mplfig_to_npimage\n", + "import moviepy.editor as mpy" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def scatter(x, colors):\n", + " # We choose a color palette with seaborn.\n", + " palette = np.array(sns.color_palette(\"hls\", 10))\n", + "\n", + " # We create a scatter plot.\n", + " f = plt.figure(figsize=(8, 8))\n", + " ax = plt.subplot(aspect='equal')\n", + " sc = ax.scatter(x[:,0], x[:,1], lw=0, s=40,\n", + " c=palette[colors.astype(np.int)])\n", + " plt.xlim(-25, 25)\n", + " plt.ylim(-25, 25)\n", + " ax.axis('off')\n", + " ax.axis('tight')\n", + "\n", + " # We add the labels for each digit.\n", + " txts = []\n", + " for i in range(10):\n", + " # Position of each label.\n", + " xtext, ytext = np.median(x[colors == i, :], axis=0)\n", + " txt = ax.text(xtext, ytext, str(i), fontsize=24)\n", + " txt.set_path_effects([\n", + " PathEffects.Stroke(linewidth=5, foreground=\"w\"),\n", + " PathEffects.Normal()])\n", + " txts.append(txt)\n", + "\n", + " return f, ax, sc, txts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load data" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1797, 64)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "digits = load_digits()\n", + "digits.data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optical Recognition of Handwritten Digits Data Set\n", + "===================================================\n", + "\n", + "Notes\n", + "-----\n", + "Data Set Characteristics:\n", + " :Number of Instances: 5620\n", + " :Number of Attributes: 64\n", + " :Attribute Information: 8x8 image of integer pixels in the range 0..16.\n", + " :Missing Attribute Values: None\n", + " :Creator: E. Alpaydin (alpaydin '@' boun.edu.tr)\n", + " :Date: July; 1998\n", + "\n", + "This is a copy of the test set of the UCI ML hand-written digits datasets\n", + "http://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits\n", + "\n", + "The data set contains images of hand-written digits: 10 classes where\n", + "each class refers to a digit.\n", + "\n", + "Preprocessing programs made available by NIST were used to extract\n", + "normalized bitmaps of handwritten digits from a preprinted form. From a\n", + "total of 43 people, 30 contributed to the training set and different 13\n", + "to the test set. 32x32 bitmaps are divided into nonoverlapping blocks of\n", + "4x4 and the number of on pixels are counted in each block. This generates\n", + "an input matrix of 8x8 where each element is an integer in the range\n", + "0..16. This reduces dimensionality and gives invariance to small\n", + "distortions.\n", + "\n", + "For info on NIST preprocessing routines, see M. D. Garris, J. L. Blue, G.\n", + "T. Candela, D. L. Dimmick, J. Geist, P. J. Grother, S. A. Janet, and C.\n", + "L. Wilson, NIST Form-Based Handprint Recognition System, NISTIR 5469,\n", + "1994.\n", + "\n", + "References\n", + "----------\n", + " - C. Kaynak (1995) Methods of Combining Multiple Classifiers and Their\n", + " Applications to Handwritten Digit Recognition, MSc Thesis, Institute of\n", + " Graduate Studies in Science and Engineering, Bogazici University.\n", + " - E. Alpaydin, C. Kaynak (1998) Cascading Classifiers, Kybernetika.\n", + " - Ken Tang and Ponnuthurai N. Suganthan and Xi Yao and A. Kai Qin.\n", + " Linear dimensionalityreduction using relevance weighted LDA. School of\n", + " Electrical and Electronic Engineering Nanyang Technological University.\n", + " 2005.\n", + " - Claudio Gentile. A New Approximate Maximal Margin Classification\n", + " Algorithm. NIPS. 2000.\n", + "\n" + ] + } + ], + "source": [ + "print(digits['DESCR'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "### Before scramble" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nrows, ncols = 2, 5\n", + "plt.figure(figsize=(6,3))\n", + "# plt.gray()\n", + "for i in range(ncols * nrows):\n", + " ax = plt.subplot(nrows, ncols, i + 1)\n", + " ax.matshow(digits.images[i,...])\n", + " plt.xticks([]); plt.yticks([])\n", + " plt.title(digits.target[i])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# We first reorder the data points according to the handwritten numbers.\n", + "X = np.vstack([digits.data[digits.target==i]\n", + " for i in range(10)])\n", + "y = np.hstack([digits.target[digits.target==i]\n", + " for i in range(10)])" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[t-SNE] Computing pairwise distances...\n", + "[t-SNE] Computing 91 nearest neighbors...\n", + "[t-SNE] Computed conditional probabilities for sample 1000 / 1797\n", + "[t-SNE] Computed conditional probabilities for sample 1797 / 1797\n", + "[t-SNE] Mean sigma: 8.121142\n", + "[t-SNE] Iteration 25: error = 1.7597865, gradient norm = 0.0074143\n", + "[t-SNE] Iteration 50: error = 1.5783467, gradient norm = 0.0064391\n", + "[t-SNE] Iteration 75: error = 1.1461960, gradient norm = 0.0041176\n", + "[t-SNE] Iteration 100: error = 1.0846084, gradient norm = 0.0043109\n", + "[t-SNE] Error after 100 iterations with early exaggeration: 1.084608\n", + "[t-SNE] Iteration 125: error = 0.9854247, gradient norm = 0.0038639\n", + "[t-SNE] Iteration 150: error = 0.9670529, gradient norm = 0.0044109\n", + "[t-SNE] Iteration 175: error = 0.9677989, gradient norm = 0.0038176\n", + "[t-SNE] Iteration 200: error = 0.9640027, gradient norm = 0.0039360\n", + "[t-SNE] Iteration 225: error = 0.9705969, gradient norm = 0.0046251\n", + "[t-SNE] Iteration 250: error = 0.9659890, gradient norm = 0.0048534\n", + "[t-SNE] Iteration 250: did not make any progress during the last 30 episodes. Finished.\n", + "[t-SNE] Error after 250 iterations: 0.965989\n" + ] + } + ], + "source": [ + "digits_proj = TSNE(random_state=RS, verbose=2).fit_transform(X)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(,\n", + " ,\n", + " ,\n", + " [,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ])" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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MrLJP4xjEwW0gPJapWW062UiN+ypml32WSUW3HE38sgWPeTqVjqXkW6PH0s3E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CEH8AoC79U385Pi7tehpEhxJnJuPMm/Yea93BAnxbptpQuvK8ItP88jEiYmzhLwC2xd7qS6LEBO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\nnp64L06oIYalzEDxhblYK400Pudlz4Ntqja0vQw5iG6Qvf2aB1oouSSZE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owg6elpWUeg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A48as7QPvWMNtb2WfmOPOOtZ9gGjPYWyFsylb9Wlat36fWM/hrONCJ7YQ6dg1bOGlaPdBTmy6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\nVTGhoIyoqMt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gznPvdJsDB3m89630aw0IqlHWuIaftRFiOBLMhZgAZ7tmcTCW2RhEAc52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\nIYTIc/8fEQblAPk+NTUAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "scatter(digits_proj, y)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### After scramble" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1797, 8, 8)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "digits.images.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "8" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dim = digits.images.shape[1]\n", + "dim" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[20, 2, 16, 30, 28, 22, 50, 51],\n", + " [17, 52, 21, 41, 13, 56, 19, 34],\n", + " [39, 32, 7, 10, 5, 47, 36, 63],\n", + " [57, 4, 59, 49, 48, 0, 40, 60],\n", + " [ 3, 23, 42, 54, 31, 27, 62, 24],\n", + " [38, 61, 43, 58, 18, 14, 11, 12],\n", + " [25, 46, 15, 35, 53, 6, 1, 33],\n", + " [ 9, 45, 37, 8, 44, 26, 29, 55]])" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Generated scrambled indexes\n", + "idxes = np.random.permutation(dim ** 2).reshape((dim, dim))\n", + "idxes" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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1 rows × 64 columns

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" + ], + "text/plain": [ + " 20 2 16 30 28 22 50 51 17 52 ... 1 33 9 \\\n", + "0 0.0 5.0 0.0 8.0 0.0 8.0 14.0 5.0 3.0 10.0 ... 0.0 5.0 0.0 \n", + "\n", + " 45 37 8 44 26 29 55 \n", + "0 12.0 9.0 0.0 1.0 12.0 8.0 0.0 \n", + "\n", + "[1 rows x 64 columns]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_X_scrambled = df_X[df_X.columns[idxes.ravel()]]\n", + "df_X_scrambled.head(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAACjCAYAAAApZ81qAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAkAgQhcAAhG6ABCI0AWAQP8Bfz5cKiocWJAAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Make sure columns in df_X_scrambled is scrambled\n", + "nrows, ncols = 2, 5\n", + "plt.figure(figsize=(6,3))\n", + "# plt.gray()\n", + "sampled = df_X_scrambled.sample(nrows * ncols).reset_index(drop=True)\n", + "for i in range(ncols * nrows):\n", + " ax = plt.subplot(nrows, ncols, i + 1)\n", + " ax.matshow(sampled.iloc[i].reshape(dim, dim))\n", + " plt.xticks([]); \n", + " plt.yticks([])" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[t-SNE] Computing pairwise distances...\n", + "[t-SNE] Computing 91 nearest neighbors...\n", + "[t-SNE] Computed conditional probabilities for sample 1000 / 1797\n", + "[t-SNE] Computed conditional probabilities for sample 1797 / 1797\n", + "[t-SNE] Mean sigma: 8.121142\n", + "[t-SNE] Iteration 25: error = 1.7601628, gradient norm = 0.0074960\n", + "[t-SNE] Iteration 50: error = 1.5779889, gradient norm = 0.0065058\n", + "[t-SNE] Iteration 75: error = 1.1458678, gradient norm = 0.0042113\n", + "[t-SNE] Iteration 100: error = 1.0841460, gradient norm = 0.0042964\n", + "[t-SNE] Error after 100 iterations with early exaggeration: 1.084146\n", + "[t-SNE] Iteration 125: error = 0.9861298, gradient norm = 0.0041633\n", + "[t-SNE] Iteration 150: error = 0.9696192, gradient norm = 0.0037047\n", + "[t-SNE] Iteration 175: error = 0.9616197, gradient norm = 0.0039074\n", + "[t-SNE] Iteration 200: error = 0.9655997, gradient norm = 0.0043739\n", + "[t-SNE] Iteration 225: error = 0.9687797, gradient norm = 0.0047719\n", + "[t-SNE] Iteration 225: did not make any progress during the last 30 episodes. Finished.\n", + "[t-SNE] Error after 225 iterations: 0.968780\n" + ] + } + ], + "source": [ + "digits_proj = TSNE(random_state=RS, verbose=2).fit_transform(df_X_scrambled.values)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(,\n", + " ,\n", + " ,\n", + " [,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ])" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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fncEIzZEosiTRHImx0hdAJ0mcWWhnqsWEOYesb72JYfRDjxJuX4I1O4Jp5bIE\nn13i7H+gu/IMJ796opVkbpPZSSrwxlofdW1R9rQdaNV/sMlPrgn09gf8Hl9i0EAOMK1G7Jh4JGju\nuOOOO451JU4EWtmE3TAeT2RnSsrU4ZhQ9DlMupKUMkmSsOjLcZqnk1Qj7O55iibvG0TiPQTijVkf\nHlQUdLKF9sAKIokuLPrKQbdqPZiixmkPfJhWXmY9hSLzrOG9MSFn73heGXT8HKAl1shE41QKwnYk\njYSU5ylMzRoNEUVhZ5YZ6N5kkmVuH6+7vazwBWiKxmiIxHjP46ctGqM9Fsc/SCTTSnBteUne7bbW\n7Y2zLEPXtQos3+xn0RQrVpMGV4GOBZMsNHfF6Pbl/tDSG0jvvs91vmBdW4TGzhhFdi0fbMrejT6t\nxshVpzvzsidptBHBfASZ9WXEEj48ke2H9HqrfgxGXVHGvb97Qpv4pOUX+GMNhBOd+KJ7Blmv3scd\n3owvuofu0Do6Ax9Tbjs1Y674jO9FV0og1khwQFe7WVfGNNfXso6zC4fvhZ4nSTD4F3JVXSG1/5sg\n9ORWvK9vQ1VUTFPLRqiGR8csq5kJRj17I9FBA/PBmqKxQc+X6Qvk0weZ/T5a2cwaPtjkz9jtHUuo\nRKIKCyb3ZWMrsGpp6oqxqyX9gchh0RCNH9lZ/bGESmNnjC31YQrtGvyh1DpqZfjsaU5uubRUBPIj\nRATzEdbgeYXQQduJ5qonvJFGz2uoqoLTPD3l2JaO+zPOSs9VXPGjlY0U5rjpiSRJlFoX4zCOx6Qr\npsJ+BlNKrkevEakcj6ZtoU30ZNhoZz9TQM8XH1iMydfXy6LGk4S3tKEttmKoHb173eeizKDn/KIC\n9oYjtB1G6lcNcHqBjaVOB9eXlzDTln+BHPr+D46rMLBiayBjF7onkOzf+OSd9T5eWNGbcXnanPFm\nenwJEkchXUE4pnD+fAfdvkT/Q0dFkY47rq1ikdgz/YgSwXyExZOBtGxpw6PSG9lGkWkWRt2BL+dd\nPU+SzLAf+XBoZCPltlNzPn9/F3+ReSZ2w9hhddMLh2accRLvel/PenzG2kombEvPPZ4MRLGfOfFo\nVm3EuBMJNgWGn5Z1gc3M1WXFfLm8hCUFNsaZjJg1+bskDaDYrqPcqWPltvShu0hcZWKlgdaeOH98\nriNjINfIcNPFpSyeYmVnc4TAIJPbDrX9PL3WzLc+W8bkahPxuEKbO8bq7UESSZWJlUbRMj9C8muQ\n6DhQ7VgKMXLJAAAgAElEQVSKUVt82NfpCn2S8nOB8fC/qC26iiHPiSa8tPmX0x3ckJbwRjj6XPpy\nLi+6OutxOZn5i1FN5O/valcowoceP937WuNnF9opO4Sdz6qNBubbLdjzeE15JosmWymwZH5Py7cE\neGtd5sx6JQ4t3/9cBRMrjUyvNXPPLWMotGa+zqLJZv5w2xhmjh3+jP9Z48zIksSLK3pZuT2IJ6jQ\n5o7z2Fs9PLu8d+gLCDkRTakRJkkyp9X8kV09T9IZXEMk0Z2Shc2gcaKVrQTjjYNeRyundlFNcF5F\nb3gb8ZTJUX3boh74SYuaZbxVI5kYU3DBoPds8b3H1s6/9l/DoqtkfuVPMGqdg75OOLLOLbyUYl0p\nL/Q8RW+iB4NkpNY4AYvGStWpZbDMw8Hp1Gwnjz1GtT10UUXhNw1tbNm3OYoMfNbl5LMuJ9eWF/Ob\nhra0JWsmWSKspLdAzbLMOYX2o1/pY0CWJeZPsmQM2pLUtxY9k9Nm2vrXovedKzHGZaA3kD77fMFk\nK64CPT/4XAUrtgbY0RSmtFDHwskWdrdGeH+jn41703tLLlrkYGKlkaauKJsyHH/1Yw+XLykUrfMj\nQATzY0CSZCYVf5FJxV8kngzQ5H0TX7QOq76aasdS4kqQta2/JpJlbFQjm3BZFrKt6yHa/R+BJFNh\nO53F1b+mI7CSQKyV9sAHKRPgJDRMLfkKu3qeJK6k/6e3G2oxarOPqcaSPrZ1PZjyMBCMt7Cz+zFm\nlX3jMD4N4VDMsS5ijnVR+oFS8N9aR9fDK1H8UZAl7GdOxHFhbnMhRpMXuz39gRz6lqb9q9PNeJOB\nt9y+jGvPoxkCOUBYUXiq080N5SUYj8PNVs6cbeftdemfyWkzbLR0x9jSkB5IF05OH7O+6KQCNtaF\nUq5T7NCyeN/4tlYjcdpMG6fNtPUfL3PqWTLDTlNXlLrWCKGoikYjUeHUsW5PiDsebc6a4S0YVkgq\nIEsqsiwC+uGQ1OMhOfFxSFGSvFX35Yw7ok0pvh53eAudwdUp5ZX2s5nuuondPU9R1/vvtNdV2c/B\nqC1mt/uptGMllgXMLf9u1vq0+1ewseMPaeVa2cLZ4/6Wy1s6IaiqyvveZXzoe5uYGmOu9SQuLLwc\nfY6rBI4UJZYg1uRBW2RGWzD6J3gFEkke7+hhtS+AaV8r+mNfgLoMyV4koECrofcQZmydXmDj1uN0\nP/O31/t48p0efKEkVpPMZ09zcuHCApKKyv0vdbJ8kx8V0GklPn9mERefVJDxOmt3BXlhRS/d3gTT\nakxceYaTEsfwhjUC4SQ/fLBpyKVwRr1EJNYXgoodWv7jsjImVIrVMIdCtMxHKVnWkG3KSVKJ0Rn8\nOK281fc+k4u/RCyZeV1nLOlnbOGnqet9Nm3ZWqX9zEHro9dk7qLUaw48oSeVGHElgEEzOrrNeuJd\n+JM+qg01aEZoct6rvc/ykvtf/T+/3vsc6wOrub7064wxjlxXt6zXYhx/+HMzRsp/N7axY9868mCy\nrxVdpsv8O1MhayAfbzKwJ5w9felHXj83VpSgz7M15bk4e46d02fa6PElKLRp0Gv73qNGlrjtU6Vc\ncZqTjt44Y8sM2MzZ5w3Mm2hh3kTLYdXlvY2+jIFclvr2TN//7/2BHKDbm+C//tHCn79Ri32Q+gmZ\niWA+SrlDW7KOb+9yP56xXCVBUolSbJlLs+/NtOMllrmYdC7mlH2XHd2PEIy3otcUMK7wMlyWBYPW\np9A0DZu+Fn+sPqV8TMFFAOxxP02D52USShizrowpJddTbJ6dwzs98mJKjEc67mV98GNUVOwaB9e4\nbmaGZe4RvU9STfCW5xU+8a9AL+k5xXEWb3teSTuvI97Kr5t/xGeKvsB44xQ2Bddi1lg4yXYaDm3h\nEa1TPtoaDPUH8oE8WfKx72fXaFJytp9daOezLif3NLaxO0tAT6rZM8kdD7QaidLCzK3o0kJd1mNH\nWrs789LBGbUmTp9lp90d4+kP0ie/xZMqH23xc8HCzL0GQnaim32U2tX9BHs9zw/rNXbDOBZX3wXA\n1s6/0ew7sHNamfVkZpZ+PWX/9HgygFY2p+2pnk004WFXz5N0h9ah09gY4zifasdSWnzvsqXz/pRz\nZUnHkpo/HJPJcf/ufjwth7leMnBX7Z8xH8F18P/b+hs2hdbmfL6MjDIglBhlE9+o+H/UGgff9vZ4\n94PdjRlzp6dO30z37eoywopCdzzBNIspJbd6cyTKr+rb6DkoTet8m5nv1Qy9auNEEk+obNgTZM3O\nING4ysQqA6fPtGM1ZW4dB8JJ/vFmN6u2B9BpJc6eY+fK04vQag70xn2wyc+fX+hIe+3nz3TymVOd\n/OqJFjbUZV5euP8cYXhEy3yU0muH92Rq0DqZ7rq5/+dprhuoKbgAX7Qeq74KmyF99yjdMAObQVvA\njNKb08obPenrnhU1zq7u/2Nm2e3DuseRsDawKq0spkbZFFzLSfbTU8o7Y228730DT9LNZNMMTraf\niTaHLvmuWEfGQC4hkXkvKVICOUBECfPvnsf5VuVPh7zf8aopEs26CYpOkohlaWtUGfQssFuQswzn\nVBkNfL+2nD80ttO6b0nbZLORGysyb8hyIlJVlaffd/PCSk/KGvQV2wI89mYPFy4q4JpzitKGzO55\npr1/Ql0kpvL8Rx5iCZVrlx5INX3yNCvvbfSxuf5AwB7j0nPefAeeQCLjzPb91u0OYjFqOHW6FbNR\ndLfnSgTzUarCdhp7e58jlvTmdP6csu9gM4xJKbPoK7HoKw+5DgklQpP3ddzhrZi0JYwpuBDrQddr\n83+EP7Y34+vbAsspC55MiWX+IdfhUGQLxrqDJqE1RvZyT8sdRPdtF7s2sJINwY+5veJHQ95j/UGT\nD/dTUbFIVoJZNrg52N7IrpzOO14FBkm1mi2Q2zUyP6mtyBrI96sxGvjdxDE0RmLoZIkKw9CTEBVV\nZVMgRM++1n5ZDq/JV2+s9fFMlnXeigovr/JQWazn7Dl982WicYWXV3kyzox/e52Pq88u7m+dazUS\nP/pCBWt2Bqlri1BZpGfxNCt6rUxTU5gsiw4A2NEcZUdzF88ud3PHl6tGbGgg3x1/s0COEzqNlYWV\nP6PUuhiD1olJN3hu7cPLKpdOUZOsabmTXT1P0BPaQLPvTVY1/RhftL7/HFVV2NWTefx+vybvG4Me\nPxpOzjCZz6ZxMMOcOmb+XM//9Qfy/baGNrAjtHnIexRkGeuWkblz7L2cZl+aU11dQ/xej3cTTEZs\nw1wq9pUKF4VZJscdTJIkakyGnAJ5IJHkx3ua+VVDG39p7eJbuxp5ptM9rLrlk/c2ZE4mM9CHW/om\n0wbCSX78UBP/fC/z5xGNqyQOym2gkSVOmmLlC2cVc/ose/+EvOoSPQbd0BNkewNJ/vZaFx29YovU\nXIhgPopZ9BXMLvsPzqi9jyVj7qHGcXHWc7Xykd2LuTu4Nm0/9KQapb73wDh+LOknkugZ9Drx5KHt\nEHc4zi24hPMKPoVR6vtMagzjub3ih+hlQ/85LdFGdoQzB+3WWNOQ95hpWYBOSg8QsywLMMpGvuC6\ngdvKf8gsy3wmGqcyK8sEwymmmbm8peOWTpa4raoUU46zy2+sKGGx4+jk9H6my0195MDDnUrfuvaW\nQfZCz2fJwZrH++xf+v3qag8t3dmD6oxaE0Z9br9Ds1HD58/KbZ+AjXUhvnlfA7/9V1vW5DdCH9HN\nnickSaLcdipN3jdQSP1y0cpmym1Ljuj9Bu6GNlAg1tL/b73GhkFTSDSZPSVjiWXeEa1XLmRJ5jPF\nX+SSoquIKZGMk95e730u69h2taF2yHsYZSO3lH+Pv3f8CX+yr4UzxTSDL5fe0n/OdMscplvmAPBA\n2+8yXiemZl9GdaKYY7Nw3+Ra7qpvYdcgy8oAFtmP3uYcGzNkPgPYEAhRaczv7nZFVVmzI8jGuhA2\nswaNzKBd3fuNKzOwaW+IHc3Z930oc+q48cKSrMczuXBhAZMqjTz1Xg8bs0yEG2jNziA/fLCJa84p\n6t8JTkglgnke2d79SFogB5hV+o2s68APVTDWnrHcoj8wE1iSZCYUXcWWzgcynltsnktNQfbehKOt\nIbKHf/c8Tn1kD2X6Ci52XsncfVnTtoU2ZnxNma6SCTnuHDfFPJO7au+jKVqPRWOlZJAu88Is2fUK\nj0Ce/uOBSSPznZpybt9en3WD1wKtZth51TcFQrzp9tIZizPGaODTJYVZu9wLtFpaoumtz4LjIJf7\nfS90sHxzbvM4AHSavnHv51d4eH6FB2OWbvELFzn40rnFQ85fyKSyWE84mvtiqvbeOL99up1rzinq\n3w1OOEAE8zziiezMWD7UvuXDlVAitAeWZzwmkzoZxaZPnyUPUFtwKZOKs28IcrT1xLu4t/Wu/jHx\n1lgTf23/H2aa5jHJPJ2gkvmL7fLia4Z1H42kpdY4Ycjz5llP5gPvGyQHZPSzauycYj9rWPc7HnXH\n4jRFY+wORTLkO+wjAbflkLktoijoJAmNJPFqj4dH2rr7j+2NxHjf4+eWShenZ8jTflFRQUr6WACX\nTssC++ElUBlpWxpCvP6xF28oydzxZiZXG4cVyKGv1R4ekNAlEleRJBg4J9Fp03DFac5DCuQAr6/x\nZtxffSj//rCX8xcUoNMe+8RUo4kI5nkglvSzvevvZFt1e6THy8PxrqwPCJFE6gSYTJnoAHzRuiNa\np+Fa5X8/bXIbwKbwWjaFM68NN0hGppvnHPG6vOd5nWd6/pESyGVkvuy6BccwliAqqsKG4BrqI7so\n01cy33pyyjyAfNMejfOn5vZBM7YZZIlZFjNXljoZYzzwXsPb2nE/vZ5YswfDWCexz8zk7/okO0IR\nLLLMuU47y3rSV4KowCPt3Sx2WNOywM23W/h2dRkvdvfSE08w3Wrmcy5nXmWL+2RnkN8+3dYfdHc0\nRagoGv5s8EyLDFQVFkwys7k+TCSm4vYn+dHfmvjW5WWMLR86BWs4qmDUS/1L3VZv73vAkCUYW26g\ntECH1aQhGlfo9MTZ2x5NyRC3XzCi4A0mKB5mitnjnQjmeWB9239nbZUDmHQuVFWhO7SOYKwVq76G\nWNJDJNFNoWk6habJQN8M9aQSJqnG6A1vQ1HjFJqmYD6oe9ikK0GWdBkDepF5esrPmiwPEtnKR0ro\nECbeTTBOPeJpaJf1Ps9zPU+klSsobAh+nHNWuqSa5L7Wu9kWPjA88KbnJb5TeccRTYQzUnYEw9y5\ntyVrl/p+CUXlOzXlKWXRRjetdy1Djfc9HIXWtxDd2k7HTfOgwEhQUXi+25P1msGkQks0xlhTegBa\n5LCy6ChNsBsJz37o5uAVfa09R6bnbn/61YEBttOT4J5n2/n9rTVZW+hrdgR47O0e2t1xih1aPndG\nEafNtOENJTlvvoNLFhfgKkgPzElF5cPNfu57sTOl3GnT4rSJ0HUw8YmMcr7I3kEDuU0/Dp3GzuqW\nn+HNsmbZaZqJVV9Fm385cSU9b3updTEzS29H3rc+WysbGVf4WXa7n0w5z6AtStsmtdy2hDr3syTV\n1O6yKvs5Ob2/o2WWZT5ve9NTqw5maeElR7QOiqrwZu9LWY93xdMzZGWzLrAqJZADtMWaecf7Ghc7\nrzjkOh4rT3T0DBnIAUoy7FvufWNHfyDfzxBLMm9DB2+fkXnYZyCtBIVaLe/3+lgfCOHQaji30JH3\nk9wAOrMs46ou0dPUlfus/LJCLe29qb+hk6ZaWLk1/SG505Ngb1uU8RWpD0eJpMqT73bz0soDPSTd\n3gT3vdDBGJeeX15fhcOSPQRpZIlAJLWLQJbgmnOLxA5rGYhgPsplCr77WXRVzCr7Ok3eZVkDOYA7\nvAl3eFPW4x2BldgN4xhb+Kn+snHOz2A31LK390XiSoASyzzGOy9HllK/XI1aJ/MqfsSO7kfxRfdg\n0roY57yckiOcB324Jpmnc4r9LD7yvZPza1qiTUw6qOfhcMTUGIFBfn8l2tzXmNdleaCrC2d/0BvN\n9kZym8X/mZL0iU5Jb+bZz6WdufXGnOt08Gh7Nx95D4wjv+n28ZPaCqZYjm2P0uGaVGXik12pn4ME\n/MflZWxtCLN2V5CtjWGi8QOta5MeLlxUyIa6vtn8p82wcfosG//3dg8fbvYjSX3bnl5xeiFrdoSI\nJ9O7vg269KGIP7/QwYqt6WP1i6ZYqHbp+1vyDQ0NPPTQQ3z88cf09vZitVoZP348ixcv5qqrrmJC\nRSU7miMEwwpLZtioKtHjCSQIRRXKnbpRsanTaCCC+ShXYJyMVraQUIIHlU9hUdUdALi7txz2fToD\nq1OCOUCxZQ7FlsxjyKF4O97IHiy6CgpNk1lc/UtUVck5z/tIWGw7Y1jBfG1wBWcVXpBW3hipY290\nN2W6CiaZpuf85WGUjYwxjKMxy/yB3uTga/QHypZcxqXPz6QzVQZ9xrFyCag06CnUalha5Mi4FM08\nq5Lg6oa08tpGL7KiogzSajPLEhONev7U0pVSHldV/tXp5j/HHnrGxNHgC2cVsaslgi90oOfiU6cU\nUFmsp7JYz9L5Dnp8CV5c2UtdW5SqYj2XLC6gokjPVWekrri48UIXN16Ymv52yQwb7xyUbGZipZGq\nktRejdaeWMZAXu7UcdunS5EliVAoxE9/+lNefvllFOVAC9ztdtPY2Mg777zDkiVLmDRhApOq+h6y\nonGF3z/bzqrtAVS1b1ncbZ8qZaLYNlUE89FOIxuYUXorm9r/1N+VbdaVM7P0VmJJHy2+d4nEu4e4\nSi73yf0/w47uf9DgeYX9E/JKLAuYXfYf/d30o8VY4wSG3q7jgPhBcwRUVeWxzgdY4X/3wDUNE5ll\nWYBO1jHfevKQu559ruR6ft9yJ3E1vYuzeUA2vaGcZD+dtz2v0J04MH5oks2c5bgo52uMJle5ivhN\nYysDG3lmWea2qlLmDzF73Hb6BLr+9lHar9USTlDd7KNhjCPra0OKmhbI92vMsbdgNKsq0fOrG6q4\n/6VO6tqiWE0yhVYtqqr2P4QW2bVcd14JnZ44b6718uxyN0adTJs7TiyhsHCylYsWFaRsnOL2JXhp\nVS/tvTGqivW098ZQlL7tUm+4IH2Neacnc3f/jReWoNfKJJNJbr31VlasWIHRaOSyyy7jyiuvpLy8\nHL/fz5YtW1i2bBkaTeqywCfe7mHltgMPCe3uOL/9Vxt/ur2mP8PciWp0ffsKGbks8zlj7H30hDaj\nlU04TdMJJzr5qPF7OeduH0q2Me5grJW63n/ji+7Fpq/GaZpJg+fllHO6gmto9r6ZNp5+rGkkLZX6\nMbTE0ltxmUwypXaxbwmtTwnkAHuju9gb7RvSeL7nSb5W/h2mDbLV61jjRL5W9m3ubft12rGyYeTN\nN8lmvlv1c970vEx9ZDdl+grOKbg4b1vms21mfjGumjfdXvzJJHOtZs4otOe0zEnSykh6LWo0fdT9\nM2VFFI8t5b/qW0jkvoQZgFpj/q4MGOih17r7NzIJRhQeXtZNKKpw+ZIDO5E1dkb52aMthKPp09Z3\ntUTZ2x7lm5f1/W35gkm+/2AjgfCBc+1mmTuvq6K0MPM8g3FlRnQaKaVLvrpEz/RaMwCPPfYYK1as\nwGQy8fjjjzN9+oH/e06nk5qaGi66KP1B9cOt6cNW3mCSTXvDzD/MPdjz3Yn9KJNHtLKZUusiiswz\nkSSZOnfum7AMTmKM4wLKbCenHYkk3Kxu/hlt/g8IxpppD6xgW9dDGa/S6F1G+Aj0EBxJiqow1TyT\nvtb54Ep1FZxXeGlK2fYsiWX2i6sx/tn1d4baRXiaZU5awNeg4aLCy4es10B2bQGXF1/Nt6t+xhdd\nX6VUn99beY41GfhqpYtvjynnLKcj5/XKkixhOz19bb+mwsHiuTVMtJj4elUZw1mGbJAkrirNLcXo\naNbmjqWNmQO8stqDMuDv9NnlvRkD+X4rtwZod/f1Jj36RldKIAfwhRTeWZ89t7vdouHzZ6VuY7pw\ncl+wVVWVRx99FICvfvWrKYF8KNn+RsR8ONEyz1tHbh23SrPvHcYWfgbDQWueW3xvp03AU7PMQQ7F\nW1ne8E1mlN5Kue3UI1S3w/O39j+wLpi+HerBKvVj+H71L9EdNLnPkcNe7J3xdjxJd9YMb/t9rfy7\nLPe+xdbQBuwaB2c4zmeMceyQ1z/RxRWVYDKJQ6tJmatQfM1C1HgS//I9kFAwTi2j9Gun9p9zksNK\nlWEM39ndmPXaZllmgd2CQ6vhnEL7cbFDmieQOe1OIKyQSKjo92Vyq+8YfEhBBbq8CcqcelbtyDyx\ncLAUrwAXn1TIjFoza3YGMRlkzpvfN/xRV1dHc3MzQMbW92BOm2njpZWpyw4LrRpmjjUP6zrHIxHM\n85RFX0Eglv2LKrv0MWRFjdIRWJnWTZ5tExUJDWqGXF0qSbZ1PYTLsgDNMU5m0hXryCmQAywt+HRa\nIAdYbDudN3pfGHRGugEj/oSPAo1z0IlxOknHWQUXcNYoG4oYzZ7pdPNSt4ewolCu1/GVihJmWvu+\ntGWDltKbl1By3UmoCQWNNf3vrdKo58aKEh5u7cr4CLrAZma21cx0i4mCHHdhG+3GlxuwGGWCBy3p\nKivU8cZaH3PGm6ks1lNbaqDdnX39uV4rMb7cwN62SMpe5wMNtqxsv5pSAzWlqb+bd97pm5RaU1PD\n2LFj2bRpE6+++iptbW2YzWZOPfVUzj33XPT69Ierq85wEggn+WCTn6QC5U4tkypNPPOBm9Nm2qgo\nyv8HskOlueOOO+441pUQhs+sK6PN/0HGoDoYg8ZJUk1f2uM0zaDANCmlLKGEM2Z4qy24FH+0MWMr\nXVHjlJjnYtQd25zjH3jfYEc4t1n+G4NrqNTXUHZQt7VBNjLTMh9/0kdUiaCXDEQPWk+fJMFy31us\nCXzEWONECnJozQtDe7fXx6Pt3ST2dQ0HkgqrvAHOLLRjGrBlqqTVIOuzB5VxJiNLnQ7K9ToCSQV3\nPIFZkrBoNewIR1ntC/Kq24NVIzPBnP8zoqMJlS31Ibq9B/5vSlJfy3xjXYhln3gx6CTOmmNn+ZZA\n2ral+5kNMvUdMXY0R7Lulvb1z7gosA7/Ieihhx6irq6OxYsXs379en784x+zbt06du3axdatW3n9\n9dd54oknGDt2LOPGjUt5rUaWWDDJyoULHeh1Mqu2B2nojLG9KcKba73UlhpO2IAuxszzlN1Qy0nV\nd1HtOI9i81wmFV1NbcGnM55r0Dops57MnLLvUpshMYqEhtJ9G5AMVGY9meKD9gAvNE2j2n5uxgeC\n/VczDNHlPBIcmtyDqoLCX9v/h4+876YdK9GVcrXrJn5Rey9mOXtmsM54G/e3/ZakmksqFGEo7/Wm\nj8fGVJUV3uHlGAewaTWc7XTwX+OqeGz6eJYU2vAkDjwEJ1V4uK2brlj+75v9wEsdbGtMfeA8eErH\nE+/0YDFquPvGak6ZnnnSmD+s8PGOIKu2Z+5idxVoqSk9tIcfr7dvrs+KFSt4+OGHmTp1KnfffTdP\nPfUUd955J+PGjcPj8fCNb3yDdevWAX3Z4FZvDxAI9/3eJEnixZWpuzUmFfjHm91DzmE5Xh0ffUsn\nKKu+kqklX0kpc5qn0dD7CsF4676tUU+hpuCi/mQvqqoQjLXQ4nsXlSQ62caUkusx6Vxp15clLXPL\nv487vBlfdC9WfTXF5tnElSDZlnyVWBZgOsatcoC5tpN4svtvGZeEZaKg8FjX/Vi1VmZZFqCqKi+5\n/8W73tcIKyHKdVW0xZsHvYY32cuu8DammGfiS3hY5f+AYNLPdMtcJua4E1soGaQt1kyJrhT7MPK2\nH2+yzUTfGQpzEYf+uWgkiQ896Q8EKn1bnZ7rzL6sbbTzh5KszjK+PZCiwrbGMEtm2Dh7joOPtgwv\n9bEETKsx8ciyLuZMsDB73PDGq+Pxvocmn8/H7Nmzeeyxx/q71OfMmcPFF1/MFVdcQV1dHQ8++CB/\n/vOf0cgSH20NcO/zHdx8iYuSAl3GvO3tvXHc/gRF9hMvb7sI5seZYvNsigdZKiVJMtNcX2W880qi\nCTdWQ3VaVrfU8yWKzDMpMs/sL9NrbLgsC+kMrk4516wrY3bZNw//TRwBRtnI7RU/4u/tf8ST7EVC\nYqZ5PsU616BpXt/3vsEsywLe8b7Kq73P9pcfHMg1aCjTV1Ksc2GWrUhIhJQAetlAU7Se37fcSXhf\nop9lnhc4t+BSLi++mjX+j1jW+zw9iW4mmqZyWdEX+2elv+x+mjd6XyCmxtCg4cyCC/hs8ZeOwqcz\n+s20mtgVTp9gtTM0/F22BoopCmEl8yxuXZ5nEosn1LRWeDZF9r6v/meX9w5xZp/Z40wEIwoGvcTu\nlijvbuibR/Lqx14uXOjg2vNy38/cYjnQG3D99denjY1bLBauueYafv7zn/Pee+/h9XpxOBzMm2Bm\n5bYA97/Uyd03VqORM28Ic/u9DcybYOaGC10nVA73E+edCikM2oK02evDMd11M3KXjo7ASgBc1oVM\nLblhVCWOmWiayi9r76Mj3opFY8O2b893raRlmeeFjK8JJftabZkyx2klHafZz2Wu9SRqjOMzTpoD\ncMe7OMtxAW95Xu4fY3/T8yJr/B/iSR7YdW5jcA0NkT3cUPZNHu/8Cx3x1v5jSZK85XmZMYZxLBwl\nqwOOBkVVeb6rl7d7fcRUlZPsVj5fWsTkLOPX7kSShKKiPcS1SP6kQrYFWdV5npvdadcyvsLAntbB\nZ6rLEmysC2EzyWxtyDZcluqK04uYWGnkPx9pSkkFC30Bfel8R85j1S7XgV7AxYsXZzzn5JP7lsrG\n43F27tzJwoUL+3dJiyVUGrtiXLCwgJdXpW+oo6rwya4QnmAbv7y+Oqc6HQ9GzzevkFd0GjOzyr5O\nUvkaABp5dH4RSpLUn5zFm/DwkvufbA1txKEpxJtMb5XMtCwA0rPBAXzJdXNOgdWpK+GSois5xX4W\n920j0LgAACAASURBVLf9N837ktYMDOT7eZO93Nd6N5EscxDWBVYd18H8qY6elB3Olrm9dMTi3F5V\nik6SiB/U1BxnNGQN5BFF4d1eH3vCUSr0Os5xOrBrUzOIFWo1uHRaOuOpcxussswYQ/4njbntU6X8\n9l9t/TullTl1nDnLxj/fc6Ps+ygVtW9P8FdW59YqP2WalYmVRhRFZXdL5geFurZozsF83rx5PPts\nX6/XwFb6QAPLo9G+e6buX65y4UIHHb0x9rRG8ASUtEG/Pa1RGjujjHHl/+81FyKYC4dltAbxgymq\nwh9bf0FbLLW7XEJC3fc1UKx1YZKMfOB9E6e2iK54e/95BsnAfGtfa6G+vp733nuPTZs2UV9fT09P\nD6qqUlJSwimnnMLSpUuZMWMGTl0x36z8T+5q+gG9WZb5AVkDOZC19X88SKoqy9zpE902BEL4k0k+\nX+rkH+0HPjeDJPGl8szzMWKKws/rWqgbkJL1zV4fvxhXReGAZWeyJHFteQn3NLX1j8vLwHUVJYfc\n2h9NKor0/O5rY6hri6KoMKHCwNvrff2BfKBolvl+U6qNzKg10xtIMHOsmUVT+gLr9qZI1m78ssLc\nQ8mCBQv6/11fX8+kSX2raJJK3zCBViNRX1/ff05JSV8Xvj98YNLin5/vRCNDOMO4+UBvr/Py+bOK\nMeqP/7neIpgLJ4QtofVpgRygQl9NUk3SHm+hO9HJP3seyfh6s8aKvG8Tmb/85S8888wzaee0tbWx\nceNG7r//fq677jp+8IMfYNFYucR5Jf/ovP+Q6l0X2ck7ntc403H+cbc7VFxVs45f+5NJLi4uZJrF\nxGpfEKMss6TARlGW9eAfegMpgRygJ57gtR4PXygrJqoorPOHUFCZa7Vwz8QaPvIGUFSVxQ4r5cdB\nwpj9JElK2Y40OYzVq+VOHTdfWkpZoQ5VValri7KrOcLESmP/Q28mv/1XO587s4iz5tiHvEdtbS1l\nZWW0t7fz+uuv9wdzzYCHqddee63/3P3H6wYMH8RyzNX72hofe9qi3PHlqpTrH49EMP//7J13eFvl\n2f8/R0d7W7bl7TjO3jsQyIKEJKyEsFdLGQVKKW0ppZsX+LV00r6lC9q+FAoUwg4rQEOAJBAySMie\nTuK9bVl7nvP7Q4kdWZItO05iG32uK9cVHZ0la3yf537u+3un+VLgDMevrQG0hpvxSsmzeUVExuun\nUREsa9+WmZnJ8uXLmTFjBiNHjiQ7Oxuv10tZWRlPPfUUW7Zs4amnnmLKlCksWbKEmabZvNG8Ii6s\nr0DBYutlfOB4myCJw5fN4UZeanoKT8TFJZlX9eKV91+0CgVj9Fr2dkpqs4giRcfEdahOy1Bd9yVQ\n5Qk6sAEc9Qcp8/r5VXkNrmPZUnqFgu8V57IsQXvVZOd+o6mVumCIEXoty7IyYmb7/QFZlvlgm5NP\ndrtQKATmTTAxd2JUWGeMMvDv/zYSTu7eCsCtS7JYMDVqq9vgCPHbF2vbe6BnmZV89/IcsizKmBr2\n4zg8Ef7+dgP5WSpGFXbdRlYQBO666y4eeOAB/vnPfzJ+/Hjmz5+PIAjIssw777zDihUrALjiiiva\nB7HrdyU3b+qKg9UBth70MGNU8tLSwUD/+kSmSXOKGK0fHxNSP47UTfpvhAhjDROpCJQRlIKoFWq+\n973vJdy3tLSU888/n6uuuordu3fz5JNPsmTJEkRByUjdWDa7PwFgmHY0c8wLGa4bjU2VRXO4gU3u\n9V3ex4dt73KhbTliP0ow7Atuy7fzSHkNzcfWsJUCeCIRbtl7BLUgcIU9g2XZ3XsGFCdJXivWqnmi\nuqFdyAE0CoEPW52MMei69YOv8Ad44HAVgWOfkzJfgK1OD78eXhxjXnOmeWZ1E+9s6ujVsPuoj8a2\nMFfMsZFhUlJkV3OkrusyzRUfNzNpmAG7VcUTbze0CzlAkzPML56v5TvLc3h2TTMVDfHnkoF1O1zd\nijnAVVddxaZNm3jrrbe48847GTlyJCUlJRw4cKA9xH7uuedy8803A9FSurrW7n0AbCaRFld8KKKq\nMciMUd0ePqBJO8Cl+VKgFw1oBC37fDtjtofp/gciLIf4iv0OaoNVMV3KfJKPMt9+Dvh24464yFbl\noFAo8Pl8rF+/Ho/Hwx13RBME7ao8MpQ2FmdcxqW2qynUDkEnRutz2yIOdnu3dXsPC62XoFIMrjV0\ns1JkcaaF4XotFqXIfm+gPds8Auzy+BiqVZPfTRg8X6PmC5cnxgzGphS5xp7Jq00dEZGv5mbx3eI8\nZlqMKS1biAhscXlwnhCr9kgSWWolw1KIGJwO3L4If3ytLm5d/EhdgItmWjhU7ee1TxJHpk4kGI6W\neo0s1PLPVfFtYkMRmR1HfDxySxENjjBVTfGCPiRHw/SRybuXvbq+mWK7Bo1KZNGiRYwZM4YjR46w\nf/9+ysrKcDgcjBgxgjvuuIMf//jHqFQqQmGZ/321Ls53Xq0UYkrTxg3RMSxfw9EEg5als6zk2gbP\nUkoiBtcwP82XllUtr/Kp80MkJGYYz+Ui2xWoFRrqgzW0RRy0hprZ5t6IRtB2mXCWiH2+nTxa/T8E\n5SCjtOMZphtFlspOkWYoBeoiCjTF7WVvAG53tLwtJyenfVuBppgCTTEtoSbqQzUx7U+HaoYjIhLp\nwpp3iGZYu/gPNpSCwFSTgSeqGhI+/3JDK9PMXYdINQoF/zO0kDWtbZT5AuSpVVyQaUErKNqz4odo\n1VyU1bNyTKNS5PrcTH5dXhuzvaEfucW1uMKEE3x0fAGJdTtdvPhRfBVFMioaAihFAaVIwnO2eSJ8\nvMPFginmmL7ixzlnXPL3adN+Fy9+3MquI37uuyoXvVZk4cKFLFiwgOrqalpbW7FarRQWFrYPtIJh\nib+srOdIXewyyoxRBq6bb2PNF05a3BHGFuuYN9FMqzvMtoNeHJ6Om586XM/EHhrbDETSYp5mwPPH\n6p+z37er/fH7jjc45N+LQWFmp/fzlM5Rqh2JKChRC2r2eXcR6eQ7HzzmJLffvwulQpl0/bqhoaF9\nve+yyy5r376q+VW2eja291bPUxVyS+492JRZ/K32t10KuUFh4tpOTn+DjfUOF21JMrWSJcl1Ricq\nuDgrfh38vAwz77e0xfQrv/vuu2luTl5hAHDLLbdwwQUXMDRBn/PR+u5DyaeL/Ew1Zr2I0xv798sw\nivzfqsaEmezJGJqrQaNSMHuciY92JF6jbnCEuPgsKzcsyOSVdS34gzJatcAVc2xJu5e5vBH+/Hp0\nsLanwsf9/6hk+ewM5k00oxQFCgsLKSwsjDlmx2Ev//mwmaN18fkQB6r83Pf3SgQBzh5j5JyxRlRK\nAbtVxW++XszL65vZdsiLLIHNpKTFFWk3yhmsDO5Xl2bQUxUojxHy4xz2H+zReS7LvJ7hutEAfLfs\na116rI/TTwaiM/CVK1e2///o0aOsWrUKn8/H5Zdfzte+9jUADvn28WbrizHnqA1V8duqn3FhxuUJ\n693H66cwyTADpULFJMMMtAot3oiHlc0vsN2zCY1Cy2zzQhZaLxkUWe4fJfBiP85Mc/KwbSrclJeF\nRSkSOCEmu2vXLmpra7s4Ci699Fh/+05/3plmA1NM/WempxQFvrYoi7+8Ud8edlaJAqV5Gj4/6E1y\nDJh0Iq0nhK4zjCIXnx2NXNy8JJvKxiBltfFCun6nkx2HvVxytpW/3TOUBkcIu1WFTpM8h+Czve6Y\nDPQmZ5h/vNPI65+0cvFZVpbMsFJW46euNURFQ5BPd7toTJBod5y24zNvGT7ZHT33967MA2DDHher\nP+8ox1u9zckXh7389uvFXd7jQCct5mkGNB86kluzpspM42xsyo765QmGqWxxf5p0f/Wx9q5Op5OH\nH3445jlRFLn33nu5/fbb20W2JliZ8DxBOcBqx1sJnzvg282lmVdTpOnoef5E3aMc9O2JPoi08Vrz\nc4TkIBfZruj+RfZzOpvDHMciilyXc3KNe0RB4Ap74iS6H/zgB0yePDnhc0VFUfcw17F482Sjngsz\nrUw06vrdAOqccSZK87Vs3OtGIcCscUZeXZfcFCYcgVZ3BLVSYHyJjhGFWhZMtmA2RE12NCoFP7mh\ngIf+XUl5Q+ySgicg4wmE+Mc7jVQ2BvlaClauyUrJGtvC2K3RPBCLUeSfqxrjQuqpsHm/h288dpii\nbA07DscvozW1hVm700mLK8LaHU7Cksw5Y01cd17moKlBTyfApRmwhOQQzzY8QTiBW1sqzDMvRkBg\nt+8L1rS9w17vDkbpxjHOMJl93p24Im0Jjxurn8wQ7bD27kxTp05l3LhxKBQK6urq2LBhAxs2bGDO\nnDkYDAby1IV86vyQgBz/I5WsEUyECDs9W5lvXYJCUFAVKGdl8/Nx+1UHKlmUsbRXr78/4Zcktrtj\nZ5EC8MvhRZiUfT/neOqpp3C73dx0003MmjWLvLy8uH/HXcjebnJw0OvnF8OKKNKq+52QH8eoExld\npGNUkQ69RkQpwvpdXXeZi0hRn/Y7Ls5B00nUVEqB+ZMsFGSp2V3uS9jX/EhdgCvmdF9tYDWKvLel\nLa5SfckMCxfOjEYD9BqRhVMtTByqY8Med1wpXbZVyZzxpqR2tf6gTH1r8tm8wx1m4z4P/qBMMCRT\nVhOgujnIOWNN3d5/T3F6I2za56HREcKeoUJxGmrc0zPzNAOW+mANPilxGHGIppTywOGkxw7TjqI1\n0sTRwKH2bYf9B/hH3f/yw6JH+HHRrzno34s34kGSI7zY9C+cx8T9oG8Pcy0XYDabue+++2LOW1ZW\nxh133MHnn3/O9773PZ555hnUCg3TTeeyJkkUYYrhLLZ5NsZtb4u0st29mWmmWbgjicPQHslFSAoN\n+Cz3xTYLFf4gH7c6kYjWgt+UlxVn5vJus4P3mttwRyJMMRm4OsdGhlKJeAoEdofby2dtbta0OlEB\n+n5UipYKE0v1WA1iTDJYIg5UJW9eo1IKFNvVePyJ8xYiErQ4Q9i66VJmt6q4a2kO/3qvEY9fQhBg\n9ngTNy6Id/QbWaTj6xfb+esJywYalcC3luZg0Il8ssuFO8n9dMWJpXbH2bLfQ7Mz3Kfr6Z/tdfOX\nN+rbBz9ZZiU/uSGfvFOcTZ8W8zQDipAcIhDx8U7rq2xxfZJwH5Wg5t6CB/nA8TZrHO/gllxkKDMJ\nSyEUgsg04yyWZCznB0dvjzu2InCY+mANOep8RurGtm+fZJzOAd8eVja/wOfuDeS3FDHHcgFGMXZU\nP2zYMH74wx/yzW9+k02bNnH06FFKSkqYoJ+aUMzNopWbc+5m15FtCWfpqx1vMs00i1LtSHQKQ3sn\nthNZ2fwfrsy+qdu/XX9GIQjcUWDnKruN5lCYYq0ajSJWPN9pcvDvuqb2x2sdLtY6XKgFgbkZJr6a\nm4Va0XeCW6BRUxWIvid5A7AJy4Eqf7dCDlHXt644VJNc7AXApE9NRmaPNzFjlIGj9QEyzUqyEgwA\nwhGZrQc9vLq+JabsLBCS+fWLtUkHFd0xc5QhYXtYmWhpX1+JuT8o8cTbDTFRjCZnmKfea+JH1+X3\nyTWSkRbzNAMCn+RlReO/2OraQJgIiXqpH2dJxmWoFGqW2JazKGMZETmMqpOHvDfSsx7OoqBkjH4i\nY/QTqQtU0xiuRxTEhPvOmzev/f87d+6kpKSEDGX8uq9JtHBr7rd53/FG0nB7eeAwjnALVqWN67Ju\n5cmGx+L2WetczUW2K9GLJ5co1h+wqZTYkrirvducuFY6KMusbnESlGTuKsxJuE8ynn32WR5//HHc\nbjdWq5XZs2dz0UUXUVRURKZKyU9L8vn5kRpCskSlP0BRgsz2/orb173wCcDl3YTJD1YlX8NeMMXc\nqQFK12hUCrQqBc/8t4nKxiAlORoun22jMFuN2xfh4WerExrSAL0WcgBvQGKIXU15p3NnW6KGOn3F\n/io/vkD8fe444kWS5W5Nik6GtJinGRA81/B3th5rt5oIAYER2rHMssznLNOc9u0KQYFCiP+y6kUD\n4/VT40rXijWl7f3Fk5GrKSBXU5D0eY+nY6Cg00VLmMKdsuMXW5dxceZViIj8vfb3XV7vuNCX6IYn\nfD4sh3BF2gaFmHdFWzj5eihEZ+p2lZIre5Awt3bt2pjHmzZt4ve//z3XXHMNP/vZz1CrVHy7OIfv\nHKjg4SPV/H7EEEzKxIO4/saYITq0agF/gmYkJp2CcSV6LphmZtyQrjPzxSQvd1iemtsusid+Mgl1\nrSEe/HdVe4OUmuYQ2w97+c3Xi3lviyOpkPcUgdjh/q6jvrhBh0mn4K6lOX0qsFZD4j+WWS+eUiGH\naMOgNGn6Nd6Ihy/cm7rcR0bm1rxvxwh5d9yYcwdj9ZPaH5dqR/L13O8A4Ai38M+6/+XuQzdwT9mN\nrGtbnfJ5X3rpJQBUKhWTJkXP3xiqj9mnNdKMUlAiIeGVuk5SCkSiYU6bMotMZXzmsFVpI1uVG7d9\nsGFJIRHu5cZWNju7/ntCNFP9zjvv5IknnmDlypW88sor/PSnP2XcuHEArFixgkceeQSATJWKsy1G\nXBGJ9W298wc/E+g1Cu64OLHYunwS1863dSvkAPMmmjtX5yEAN6WQxd6Z/37eFtfpzOOXWLOtjd1H\ne2bm1BWJ4nadE/iWn5vBmOK+9QsYkqNh7JD4c144w9Kn10lEWszT9HsichiJrkNsQzTDYlzYUkGn\n0DPDeC6zTPO5xHYVd+f/iJAc4kPHKn5T+VO2uj9DIkJYDqM5Vo5WVVXFAw88wI4dO5A6mZk4HA6e\neeYZ/vjHPwLROuXj7Ru3ujfE7GsWoxm8oiAyWjehy/t8ufkZIBpluDb71pi2qEpBxbXZt7Z3dBus\nPF3bGNeDPBmvNnTfp/vf//433/3ud5k/fz6jR49m/PjxfOUrX+Gll15i+fLlALz44os0NkZtTRdk\nRD9bjlC4vVRtIDBlePJoTVsK6+kA+ZkqZowyoDo26bQYFHzjUjsjU/Bg70yzM/F7+OF2Z8Ka9uNM\nHKojwxQ/6730bAuThurQqATUPQj3A6zc0L3FbW+478pcFk+3YDOJFGSp+OoFWSw7J7WmPidDOsye\npt9jUloYrh3NIf++hM9bxAxusMcnsyWiIVhLa7iZfE0xf699lDL//vbnPnSswtPNLDkSibBixQpW\nrFiBXq+npKQEnU6H0+nk0KFD7eVqI0aM4N577wWis/zPT1giUAsaZpsXtD++Ovtr/KnmEVrCTSTi\nkG8fnogbg2hknGEyDw95jK3ujYDMFONZWJXdlwYNZA54faxqTlwmmAhnN+F4IGl5mSiK3H///bz1\n1luEQiFee+01br/9dkbqtegUAu+1tLGyyUGxVs0tedmMNvQfJ7hEaNUKRhVq2d8pY92kV1Cal9xb\nPhSW8fgj6DQCDz0Tu47t8kp8sttNXqaaEQU986cfN0SX0AY2UXMUgCyzyM9vLsJqVNLUFuLFj1vY\nU+4jy6Jk6awMpo6IDlYCIYmbf5u8eiURTk+EcERGKfZt+FuvFbl5cTY3L+555OJkSIt5mgHBV3Pu\n4ona31EdrAAgW5XLfMtislR2xugnoeymm1hIDvFU3Z/Y5omG65WCKq4+vSshD0rRHzObzcYNN9zA\nunXrqKioYM+ePe37iKLI5MmTOf/887nxxhvRarXtx47Wj6cqUE6hZggX267Ers5rPy5Hnc9DQ/6X\nlU0vsLot3kRGIkJjqA6DGF0ztygzOM+6pMvXO5jY5e5Z+HWC8eTc2Ww2G9OmTeOzzz5j//7oYE8h\nCGSolNQEop+ZCn+QX5fX8NjIEhzhMH5JplSnOSUlcifLbRdm88jzNe1ubxqVwJ0X5yRNXHtlXQtv\nb3TgDUioRAh10llJhu2Hvew66uWBGwsYVZT6gGb+JDOb9rvZeaT793SIXc0PrsnH4Y7w6vpW3L4I\n00Ya+Mal9rjBmCTRI9taIM7Zb6CTFvM0A4IslZ2fFP+GysBRJDlCsaa0R+Ydq1vfbBdyoMdGM7u8\nW5ltWYDJZOKBBx4Aog5wVVVVeL1edDodxcXFmEyxpWreiAe7Ope783/U5flFQcllWdez2f1JQnvX\nT9rWUKJNnAA32EnWOzxPrcIbidB2Qg1TjlrJ1SfpGAeg0USXVUKhjs+JotOvv0+S+enhSuqD0UiA\nTSlyT1Fuv5utF9k1/PGbQ/jikJdgWGbyMD1GXTRkXVbj52C1n7xMNROH6vh4h4uX1nY0Zuks5CcS\nkeCNDa18vwdirlIK/Pi6fHYe8VHZGMDplVj5aeJlkZFFWiobA/zmxdr2MrVP97jZdcTHHZdEcwHq\nWoIoFFFP9snD9HxRlth3IhFnjzH0+az8TJIW8zQDiiJNSa+O+9yVPBM+FXZ4Puc/Df9gScZybKqo\n0YXZbGbs2LEJ9z/o20u5v4yFGZekfA2FoGC+dUlCp7ct7k+5ISe1pYTBxiyzkZcbWtp7nkM02efr\nBXbGGnRU+gPscPuwqUSmm4yoTtJty+/3s337doCY5h/OBGvlx4UcoCUc4Q+VdfxlZAnK0+D41RPU\nSgUzR8d2NHvirQY+3N5hRlSUrUbfQ+/yekdqeQwnIggCE0ujnczqW0NJxdyiF1nxcWy9OcBH253M\nGmvghQ9bOHzM+nV0kZabFmXh8Uc4WN29HWy2RcmtS3qWid/fSYt5mi8FLqn7NVcFii4T7dY7P2C9\n8wMK1MUM140hT11IhjITlaAmJAdoCzs45NvLHt8OZprmcEXmjT2+z6GaZLPvnsYQBw9aUcGDQwt4\nqaGFfR4fdrWKpdkZjD02Ay7SanpU/y3LcpdRneeffx6HI5ocdbzzXVMwFNPTPBlt4Qh7vb6TDvWf\naraXeWKEHKIOaT313BldeHI93XMyVJh0ClwJauKzLCoqE5SqycA/VzXScMJAYl+lnxc+bOH/fa2I\nmuYgH293dpngplEp2qMTg4W0mKf5UuBLYhIz1XA2ftlHrqqAmabZbHB9zB7vdppDDUmFvTpY0b52\nLyAgJxDa6cZzeuXhPUw3GpsyKy4ZboZpdo/PNZjIVqt6bAiTjF/84hcoFAoWLVrE2LFj0ev1yLLM\n3r17eeWVV3juuecAOPvssxk5ciQA77WknoAnDICB184kZWApdpsForPb5bOTJ1/uPOLlvS1tuHwR\npg43cOEMC2pV/Ghh8XQrL6+L7bmuUQlMH2ngg21tCWfaDQkiAjsOe3F5I+Rnqrliro23NjriZvXH\nSZQZP9BJi3maLwVKhYqwFP8DMNe6KMa2tVhbyg7PFh6v/V1K500k5MO0oyjRDkv53o74DvFUw59o\nDNWjQEGeupg8tZbaYBUCApMNM7k8q+ez/MFMWJLZ5HRTHQhSqtMyxaRP2ZTD4/Hw6quv8vTTTwOg\n1+uJRCIEAh2iMW7cOB599FEAIrLMx62p15eX+QKMN/ZvAx+bqeufflFBnBCOKtSyfHYGB6v8ZFpU\nnDPWmLTj2KZ9bv7wSl37t2N/pZ/th72MLtJSXh8g26rCYhAxakUWTDHT0BZi/U4Xkgw2k8jtF9sx\n6kSuPS+TXz1fSyjS8T2bM97IukQNZAQ4/hFQKxVcenYGrycJ4Z+K5ipnmrSYp/lScLZpHh+1vRuz\nLVuVw3Dt6Lh9VQkc41JlmHYU38i7n8rAUTY519EUqidTZWeaaRZDtSPi9m8Lt/KH6gcJEx1oSEhU\nB4+iFjTcX/gLMpVZmJSn3nBiIOGLSDx8pJoj/g7xnWTUc29RLh85nOxwe7EolSyyWSjRRcPv3kgE\n/TErs2XLlgGwY8cOysvL8XqjSVNGo5G5c+dywQUXsHDhQtTq6OegLRxOKcR+nD0eP8tOqEqqC4Q4\n4PWRrVYxpp8kx80Zb+LV9S0JLV8NWgW/v6OYVneEVneYysYgBVlqpgyPDpgmD+t+oPLKupa4Ye6e\nch97yuMjAs+taeIH1+Rz/XmZOL0RCrLUiMdyDsYN0fOr24r4aLsTj19i6nA900cZaXBUxZXbTRth\niAmdXz3fhl4r8MKHLXGZ7pv3uzlvcs98Kfo7giwnaSScJs1pJiJH+MDxNhtd69AqtMwxL+Rs87zu\nD0yBoBRkReOTbHatJ0yYodoRfMV+J2pBg0JQxNRqR+QID5V/l6ZwQ4+vszhjGXZVHs80PB733Gzz\nAq63fz1m23stK1nZEp/wBjBeP4W78n/Q43sY7KxsbOX5+ua47XaVSMMJ6dcCsMRmYaHNwq/La/hG\nYU6cmEqShNfrRalUotFoYpZGwrLMf+qa+GpeNn+urGN9W/fOcgCj9VoeLI0mzq2ob+b1xtZ2YctW\nKflmYU6/yHivbQnywFNVcevVy8/N4JxxRl47Vg42Z4KJ2eNNKS0bVTcFefLdRnYnEO2uKMxW87vb\ni1Pev8UZ5m9v1bPziA9BgKnDDdx5iR2tWoEky2iOhfMPVvv52VNVcccLAjz9/dKEYf+BSlrM0/Qb\n/rf6YQ749sRsW2q7liW2y/rsGn7JR0gKEpAD/KvuTxwJHARgtG4CN+fc3T4LbgjW8nzjP9nv240S\nZfvMuTu+k/8z/ln/x6QtS+8t+B+G68ZQ4T/MPt8uNrnWUROsTLiviMifhj/Xi1c5+AhLcnuG+K/L\na9jmSr0EyaIUaQtHsIgi1+TYmGkxYkxmOE50Fv+5y8ubja34JYnHRpUgyTLvNjt4uaEVbzcLywrg\nrsIcclRKfnakOuE+y7IyuC735EvoThaXN8IzHzSxeZ8brVrBwqkWrAaRf6xqjNlvRIGGh75a2GVf\n7nBE5tt/LU/q8tYdT3ynhCN1AbYe9GLQKpg3yUxuRtcd3ZyeCApFtOTtqfeaWL/LRViSmVSqI8+m\nZv0uV8LkOrVS4Mn7SgdVaVpazNP0C476DvGb6p/GbVcLah4t/VfSDmW95VeVP6aiU7/z8fqp3JV/\nf8y2oBSgNdzMI5U/INSpNt2ksLRnyQsILMpYytmmeTxUcW/S615iuwq/5GO1I94cpjNKQcVjFiUA\nSwAAIABJREFUw55J9SUNSna6vTxb10S5P4hdpeSqnEzKfH7e7YEjXGcUQKFWzYIMM+dnmFEpFMiy\nzKrmNr5we9jt8XF8ifa2/GwW2jqWOV5taOHFhpbEJ+6ETSnSksT6VQB+P6I4rl/7mSYUlrn194cJ\nhuJl4buX53DWmORrzVsOePjdS7W9uq5Oo2DeRBPvbu54X9VKgR9dl5/QP/1IrZ8X17ZwtC5AYbYa\nlSiw9VDqA7yFU83cdmG6NC1Nmj5nsztxb/KgHCQg+dCLxoTP94b6YE2ckAPs9m7DG3HHXEut0JCj\nzucbeffzYuNT1IWqUaAgS5nD1favYVAYaQjVMVQ7giyVnYDkRyNoCcjJe0CnIuQAGeKZm7lFnH5C\nTW6UWQaU5jMTEq4LhPhNeS2hY/ONhlCYv1bVc1eBHZ1Cga8nqdcnIBF1cBtr0KFSKPCEI/z4BPMX\nABG4PjczRsgh6i6XqpgnE3KIllft8/r7nZjXNAcTCjnA2p2uLsU8GEr8fmhVAvddlce/Vzcl7Yo2\nb4KJ97bEDtCCYZnfvVTLPctzmVTaUerX2Bbi4Wer2xu2tPbQIdCiV/DVC7J6dMxAIC3mafoFNmXi\nL5daUPepkEN0Ft3Vs4kYoRuL4lh0QEKiIVzLX2p+xV1591OqHcFG1zrqg7U0hxpRCqqEYp6ltPco\nuW62ZUH3O/UxsiTR+ORnOFd3eNYjKsi8bioZl3TdEKavWedwtgt5+/0B29xefl5ayJtNrZT7Axzx\n97xt5jiDrr02/f8drY4RcoAIUB2IdwkcoddycaaVt5P0Vu8J9iTOdmcSQRddT04Ur/38oJe3Nzq4\n+CxrwmMnDdOjUQkEOg0G5k0yM36onodvKmTtDhdltT7KagI0OcOolALnTzZTmqvh3S3x0RaPX+JX\nz9dw39V5TDvmw75mmzOu81pPUKkUqJWDZ638OIPvFaUZkMw0zUZMMLaca17U59eyq/Mo0cSXjk0w\nTE3aE3yXZxs1x2rLjyMjs7J5BQ9X3MdbLS+x2b2ew4H9eKRoGZOIiElhIUOZySzTfL6S8w18kdRm\nEcO0o5hn6fvX3h1tq/bGCjlARKL52S14d/cuhNpb/EnMtgOSRIFWzZ2FOfxyeDFnmbvOrl6aaeUq\nu41MlRKjqOD8DDPfLY62jC33BTiaZDBQ5kscXflKXha35Z1cE42ROi0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mg8hHX7ThD8kY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YU9dAyfZCG7oHO1uA8b/8tq19LWv4F/L89V/5HfFD2RIMxytmn07kwYkxCxe3eRb+lY9OR8ICgV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\nQHWxAJWf6O9uNtXoMdcaUOIKCV8SnaP/66nEFbbc2Y5/wPml5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7yodwsd791N9byfjvCI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\nsMwxtee5vlk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