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Jupyter notebook for Looking at german traffic signs (https://kasperfred.com/posts/looking-at-german-traffic-signs)
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Looking at German Traffic Signs\n",
"\n",
"> A practical application of convolutional neural networks.\n",
"\n",
"You know, I don't think we as a species do enough looking at German traffic signs. \n",
"\n",
"I mean, sure, they are there when we drive through Germany, and we do (hopefully) *see* them, and register their meaning, and alter our behavior based of those meanings. But we don't do nearly enough *looking* at those bold, blue, red, and white, geometrical pictograms. \n",
"\n",
"I think this is a shame, as by virtue of not looking, we do not appreciate their simplistic genius of interlingual communication.\n",
"\n",
"That's why I decided to outsource all the looking to computers a while back when I was toying with an image classifier that would classify traffic signs.\n",
"\n",
"This will primarily be a commontary on what I did, and some ideas for what I could change, and do different in the future.\n",
"\n",
"Since I use the Tensorflow library, I recommend reading my [introduction to Tensorflow](https://kasperfred.com/posts/introduction-to-tensorflow-as-a-computational-library) if you're not familiar with the library, or just need to catch up.\n",
"\n",
"The dataset used was provided by the German institute for neuroinformatics (Institut für Neuroinformatik) under open access, and can be found [here](http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset). \n",
"\n",
"Before we begin, we start by importing the libraries needed, and check that all devices are recognized. "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import os\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt \n",
"import tensorflow as tf\n",
"from tensorflow.python.client import device_lib\n",
"from skimage import data as skimage_data\n",
"from skimage import transform\n",
"from skimage.color import rgb2gray\n",
"\n",
"plt.style.use('ggplot') # make plots look better"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['/cpu:0']\n"
]
}
],
"source": [
"def get_devices():\n",
" local_device_protos = device_lib.list_local_devices()\n",
" return [x.name for x in local_device_protos]\n",
"\n",
"print (get_devices())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we load the data. Since it came pre-split into a training and a testing set, we will just use that as opposed to creating our own split. \n",
"\n",
"Notice further that I didn't use the datahandler descripted in the [post mortem analysis](https://kasperfred.com/posts/post-mortem-analysis-of-my-final-year-project) is not used here. The reason for this is simply that I hadn't hit on the idea yet when writing this."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def load_data(data_directory):\n",
" directories = [d for d in os.listdir(data_directory) \n",
" if os.path.isdir(os.path.join(data_directory, d))]\n",
" labels = []\n",
" images = []\n",
" for d in directories:\n",
" label_directory = os.path.join(data_directory, d)\n",
" file_names = [os.path.join(label_directory, f) \n",
" for f in os.listdir(label_directory) \n",
" if f.endswith(\".ppm\")]\n",
" for f in file_names:\n",
" images.append(skimage_data.imread(f))\n",
" labels.append(int(d))\n",
" return images, labels\n",
"\n",
"ROOT_PATH = \"./data\"\n",
"train_data_directory = os.path.join(ROOT_PATH, \"TrafficSigns/Training\")\n",
"test_data_directory = os.path.join(ROOT_PATH, \"TrafficSigns/Testing\")\n",
"\n",
"# load data\n",
"images_train, labels_train = load_data(train_data_directory)\n",
"images_test, labels_test = load_data(test_data_directory)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In order to use a static neural network, regardless of its architecture, the input dimensions must be the same for all examples. But as if often the case with images, the resolution of these can vary a lot between individual images. So in order to use them, we have to standardize them before feeding the images to the network. \n",
"\n",
"The simplest way of doing this is just to rescale all the images, and it turns out that this is not a bad approach. Because the images are not of the same aspect ratio either, we have to define a mode of interpolation, again, for simplicity, we just fill in black, an do not attempt to do any interpolation which is evident by the use of the `constant` mode.\n",
"\n",
"While we could convert the images to grayscale as illustrated by the comment, we don't do this as the colors on the signs are specifically picked to convey information. Also, as we will find later, this is needed due to the poor distribution of different classes of signs. "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# resize images\n",
"images_train = [transform.resize(image, (28,28), mode=\"constant\") for image in images_train]\n",
"images_test = [transform.resize(image, (28,28), mode=\"constant\") for image in images_test]\n",
"\n",
"# convert to numpy arrays for efficiency\n",
"images_train = np.asarray(images_train)\n",
"images_test = np.asarray(images_test)\n",
"\n",
"# convert images to greyscale\n",
"# images_train = rgb2gray(images_train)\n",
"# images_test = rgb2gray(images_test)\n",
"# when doing this, cmap must be set to grayscale when plotting the images"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"The 28 by 28 pixels were chosen because it's on the order of the resolution of most images, and because it's the resolution of the images in the common MNIST dataset. \n",
"\n",
"To check that we have correctly imported the data, we can inspect the data dimensions to assue that we have correctly imported and rescaled the images."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Trainingset:\n",
"img ndim: 4\n",
"number of images 4575\n",
"number of labels: 4575\n",
"unique labels: 62\n",
"image shape (28, 28, 3)\n",
"\n",
"Testset:\n",
"img ndim: 4\n",
"number of images 2520\n",
"number of labels: 2520\n",
"unique labels: 53\n"
]
}
],
"source": [
"print (\"Trainingset:\")\n",
"print (\"img ndim: %d\" % (images_train.ndim))\n",
"print (\"number of images %d\" % (len(images_train)))\n",
"\n",
"print (\"number of labels: %d\" % (len(labels_train)))\n",
"print (\"unique labels: %d\" % (len(set(labels_train))))\n",
"\n",
"print (\"image shape\", images_train[0].shape)\n",
"\n",
"print ()\n",
"\n",
"print (\"Testset:\")\n",
"print (\"img ndim: %d\" % (images_test.ndim))\n",
"print (\"number of images %d\" % (len(images_test)))\n",
"\n",
"print (\"number of labels: %d\" % (len(labels_test)))\n",
"print (\"unique labels: %d\" % (len(set(labels_test))))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here, it's seen that the number of unique labels are not same for the test and the training sets. \n",
"\n",
"This poses a problem as the dataset is not large enough so that the test segment will test all the types of traffic signs. This means that the network could completely fail on the 9 types of signs that we're not testing, and it'd be difficult for us to find out, especially if it does well on the training data. \n",
"\n",
"Furthermore, the measly ~4500 training examples are not a lot when considering that we will, as shown later, have several thousand features. "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
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2LDNnzmTjxo2kpKTw6quv6owbEZE4Cxr069ev7zVt3rx5D5x/6dKlLF26NLpWiYhIv1F3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\n/wE40jCRwmXUAAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcb7cdb56d8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# label distribution\n",
"plt.hist(labels_train, 62)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A similar story is seen with the distribution of the images.\n",
"\n",
"The large variance in the number of samples per label is also problematic as it will be difficult for a network to learn the representation for some of the classes for which there is not a lot of data. \n",
"\n",
"I does, however, make sense that it'd be this way, as certain signs are a lot more prevelent than others as it reflects the distribution of the same signs in the world. \n",
"\n",
"This can be mitigated by having a large amount of absolute data, but as seen above, this is not the case, and as there's no simple way of getting more data, a lower accuracy is to be expetced, and it'll be difficult to fit a complex model, why a many layer network will likely not be ideal. \n",
"\n",
"Continuing our exploration, now is probably a good time to do a visual inspection of the data:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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x29MWmp6Q2W8L3fEpipI6dOFTFCV1dNXV7Ri41e5zppLxwYM7wVbqo8fw4TSG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\nRVFShy58iqKkDl34FEVJHbrwKYqSOv43i6XdwilI93MAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcb7c4103c8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"traffic_signs = [300, 2250, 3650, 4000]\n",
"\n",
"# Create subplots\n",
"for i in range(len(traffic_signs)):\n",
" plt.subplot(2, 2, i+1)\n",
" plt.axis(\"off\")\n",
" plt.imshow(images_train[traffic_signs[i]])\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here, we can visually see that the image transformation has worked, and that the images are padded with black bars as expected. \n",
"\n",
"This can be extended to show an image for each class label with the code below."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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H4/ugrt2JU8bWnZdlov/fN+txvGfh3XB48JwaQWzPSZde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\n8Xku/dMjFNfW8TFMu/p9a59nvcgOj6r3NlEcEHM/eMr4zvDlCseD8Ot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TAAAg\nAElEQVSib9++yMnJQdeuXXHxxRdj06ZNLdvsTPpM/6655pqW991xxx2YNGkS6uvrv/0T/h6zt+XO\n3/72NwwZMgThcBjdu3fHpEmT4LruLreTuQMAd955Jw477DDk5+fDcRx88cUX1naVlZW45JJLUF5e\njpycHAwcONAaiPaF3Nmb8mTLli0477zzMHjwYPh8vlaPe8uWLZg4cSLy8/ORn5+Ps88+G9u3b99l\n+//+97/x0Ucf4cc//jEAIJVK4ZZbbsHw4cORl5eH0tJSHHPMMfjwww9pu9mzZ+OUU05Bjx494DgO\nfvvb31ptX3fddZg9e/Ye/2DruyTbcikWi+Hiiy/G8OHDEQgE0KdPn91uf+rUqTDGtDxA6Xz1f2Rb\nnsyZMwdnnHEGunbtipycHPTt2xeTJk1CPB7fZfsyTwDg4YcfxoQJE1BSUtLqwr65uRk//elP0b17\nd+Tk5KB37964/fbbkU6nW97z61//Gg8++CDWrFnzDc/++0W25c3GjRtx9NFHo7y8HMFgEOXl5bjg\nggsyrlckmfJm/fr1OOecc1BWVoZwOIwJEyZg8eLF1rbTpk1D//79EQwGMWDAAPz973+nv2fjXJVt\nufNVmpubMXjw4N3+ECBT7nyVSZMmwXEcXHbZZfT6H//4RwwZMgT5+fnIzc3F8OHD8dhjj9F7sm3M\nyUS25VJra5Pbbrttl+1/03FoT6xz9poPfvYmPvzwQ5x99tk444wz8Mknn+D111/Hjh07cMIJJ7S5\nXSwWwwMPPIArr7yy5bXly5ejqakJ9957L5YsWYJnnnkGS5cuxbHHHtuysOnWrRu2bNlC/5577jkA\nwNlnn93S1ujRo9GlSxc8/vjj38FZK98Gf/3rX/GTn/wEP/vZz7BkyRL85S9/wYMPPohf/epXbW6X\nKXcAIB6P4+STT8att97a6rYXXXQR5s+fj+eeew6fffYZfvrTn+KnP/0pnn766Zb3aO58v4jH4ygu\nLsYNN9zQ6sTrui5OPPFErF27FjNmzMBbb72FFStW4NRTT4Uxps3277nnHlxwwQUIhUIt+/vggw9w\n4403Yt68eXjnnXdQVlaGI488EqtXr27ZrrGxEYMGDcLkyZNRVlaWse1wOIxzzjkH99577zc8e+Xb\nZHdyKZ1OIxAI4IorrqA5ZXeYMmUKrrjiCjiOA0Dnq72V3cmTuXPnonfv3njqqafw2Wef4e6778b9\n99+P66+/fpftyzwBvnyQ+8EPfoDJkye3ut1NN92E5557Dn/729+wbNky3H333bjnnntomy5dumDC\nhAm4//77v8YZK98Gu5M3Pp8PZ5xxBl599VWsXLkSzz77LFasWIGTTjppl+3LvGlubsZRRx2Fmpoa\nvP7661iwYAF69uyJH/zgB9i2bVvLdi+//DIuvfRSXHXVVVi8eDEuu+wyXHDBBZg+fXrLe3Su2rPs\nTu58lauvvhq9e/fe7fYzjTk7mTlzJh577DEccMAB1t969uyJyZMn4+OPP0ZFRQXOP/98XHrppfjn\nP//Z8h4dc75ffJ1c+uc//0nrk1/84he7bP+bjkN7ZJ1j9hIuvPBCM2HChFb//ve//92MHj3a5Ofn\nm5KSEnP88ceb5cuXt/x97dq1BoB54oknzA9+8AMTCoVMr169zNNPP03tbN261Vx44YWmtLTU5Obm\nmrFjx5p3333XamfOnDmtHsuUKVNMcXExvfbKK68YAKa2trbV7V566SUTDodNMpls9T3GGLNgwQID\nwHzyySetvufcc881gwYNsl7/9a9/bcaMGdNm+9nG3pQ7hxxyiLnyyivptXvuuceEw2HT2NjY6na7\nyp1Zs2YZAGbjxo3W3woKCsz//M//0GsjRoww119/Pb2W7bmzN+XJ7hz3m2++aQCYzz//vOW1JUuW\nGABm1qxZrbZXVVVlPB6PmTt3bpv7TaVSprCw0MqdnfTo0cPccccdGf82c+ZM4/P5TH19fZv72FvJ\ntlz6Krfffrvp3bv3brW3aNEiA8Bs2rSpzfftq/NVNufJTv70pz9Z6yHJrvKkreMbOnSoueGGG+i1\n008/3Zx66qn02qOPPmrKysp265i/7+wLefPyyy/vcs2cKW9mzJhhAJgtW7a0vJZKpUxxcbH59a9/\n3fLawQcfbM455xxq78wzzzTjxo2j17JtrsrW3Jk2bZoZOnSo+fzzz3er3bbGnK1bt5ouXbqYOXPm\nmHHjxplLL710l8c3bNgwa82cTWNOJrItl75uOzv5T8YhY9p/nZM13/iJx+O47bbbsHDhQsyYMQNe\nrxcnnHACEokEve/mm2/GJZdcgoqKCpx77rk477zzsGjRIgBANBrF+PHj0dDQgOnTp2PRokU4/vjj\ncdRRR2HZsmW7fSxjx45FbW0tnn32Wbiui9raWjzxxBM45JBDUFBQ0Op27777LoYPHw6fz9dm+7W1\ntQC+/N+ITFRVVeGFF16wvv0BAGPGjMHHH3+MhoaG3T6fbOf7lDuxWKzlWxY7ycnJQXNzMz7++ONW\nt9vd3MnEoYceihdeeAHbtm2DMQYzZ87E8uXLcdxxx9H79vXc+T7lye4wd+5c9OrVC/379295bfDg\nwejatWubX4N+77334DgORowY0Wb70WgUiUQCkUjkax/b6NGjkU6ns+or9F+HvS2XvinvvvsuunTp\ngvLy8lbfo/NV62RDntTW1u5yjNidPGmNQw89FNOnT8fatWsBABUVFXjvvfesb1iPGTMGW7du/d70\nje+SvT1vqqqq8MQTT2DEiBG7XDPLvInFYgBA6yiv14tAIIDZs2cDABKJBObPn49jjz2W2jv22GMx\nb948KhPc1+aqvTF3li1bhptuugnPPPMMgsHgbm3T2pjjui7OO+88XHnllTj00EN32Y7runjjjTew\nfPlyjB8/nv62L405mdgbcwkAzj33XJSWlmLkyJG45557kEwm23z/Nx2HdtLu65x2+4jpP+Tr/E+B\nMcbs2LHDADDvvfeeMeb/Psm77bbb6H0HH3yw+eEPf2iMMWbq1KmmS5cu1rcmxo8fb6677jpqZ1ef\nCL766qumuLjY+Hw+A8CMGTPGVFVVtbnNKaecYiZOnNjmexoaGszQoUPNGWec0ep7/vCHP5icnBxT\nU1Nj/W3x4sUGgFmyZEmb+8km9qbcue2220xRUZF57733jOu65rPPPjP9+vUzAMxTTz3V6na7yp22\nvvFTX19vzjjjDAPA+Hw+EwgEzCOPPGK9L9tzZ2/Kk9057ssvv9wcfPDB1usjR440V199davtTZky\nxXTs2HGX+7300ktNjx49TENDQ8a/t/WNH2OMKSoqMn/5y192uZ+9kWzLpa/ydb7xc91115nRo0e3\n+Z59eb7K5jwxxpjPPvvM5OXlmfvuu6/N9+0qT9o6vkQiYa655pqW+ctxHPOb3/zGel9dXZ0BYF57\n7bVdHvf3nWzNm7PPPtvk5OQYAGbs2LFm+/btbbaXKW8qKytNYWGhueSSS0xdXZ2JxWLmjjvuMABM\nv379jDHGbNq0yQAwb775Jm372muvGQDWfrNprsq23GlqajKDBw9uWbPubrutjTmTJk0yRxxxhEmn\n08YY0+o3fj755BMTiUSM1+s1oVAo45o5m8acTGRbLlVWVprJkyebuXPnmkWLFpk///nPJj8/v+VY\nWuObjkM7ae91TtZ846eiogKnnXYaevXqhby8PHTv3h3Al3Klr3LwwQdTfMghh2Dp0qUAgPnz52Pr\n1q0oLCxEbm5uy785c+Zg5cqVu30sn3/+OX70ox/h+uuvx/z58zFz5kwEAgGcdtpp9D8Jkmg0an3b\n46s0NTXh5JNPhs/nwyOPPJLxPcYYPPzww5g4cSIKCwutv+9sPxqN7vb5ZDvfp9y57bbbMHHiRIwf\nPx5+vx+HHXYYfvjDHwIAPJ7Wu+uucqctJk2ahFWrVmH69OlYsGAB/vCHP+AnP/kJ/vWvf9H79vXc\n+T7lyXfJ7uTSL37xC7z88st45ZVXkJub+432EwqFNJf28VzS+apt9uY8WblyJY4++micffbZLZL4\n1vhP5q/7778f06dPxwsvvICFCxfi0UcfxT333IOHH36Y3rcv5dLemjdTpkzBokWLMH36dBhjcPbZ\nZ3/tNXNpaSlefPFFvPfeeygsLEQkEsG8efNw/PHHt7mGaot9aa7a23Ln2muvxZAhQ3DJJZd8re0y\n5c7s2bNx//3348knn9xlrvTv3x8VFRWYP38+Jk2ahOuvv578UMC+NeZkYm/LpdLSUtx0000YO3Ys\nhg0bhmuvvRb33nsvnnzySfpBJcl/Og61d558/bqQ7yHNzc04+uijceihh2Lq1Kno1KkTgC/LGuRX\nytrCdV0MHDgQL730kvW31sqqMvG73/0O+++/Pwl5+/Tpg+7du2PWrFmtiqU6dOiA6urqjH+rq6vD\nCSecgGQyibfffrvVr7/OnDkTK1eubFUUtbP9Dh067Pb5ZDPft9wJBoN48MEH8Ze//AVbt25Fp06d\nMGPGDABoU1rXVu60xerVq3HPPfdg3rx5GDNmDADggAMOwOLFi3HXXXfR1+X35dz5vuXJ7tC5c2e8\n/fbb1uvbtm1D586dW92urVwyxuC6667D008/jX//+98ZxYe7S3V1tebSXpJL35QOHTrg/fffb/Xv\nOl+1zt6cJ0uWLMFRRx2FU045BQ888MAu37+rPGmNWCyGm2++GY8//jhOP/10AMCQIUOwceNG/OY3\nv8EVV1zR8t59JZf25rwpKytDWVkZ+vfvj6FDh6K8vBwzZsywSrJ20lrejB8/HsuXL0dNTQ1c10VJ\nSQlGjx7dsoYqLS2Fz+fD1q1babtt27YhGAyiuLiYXt9X5qq9MXfefvttbNy4seUHAnZyxBFHYMKE\nCXjzzTczbpcpd2bOnInKykr06NGj5bV0Oo3Zs2dj2rRpWL9+Pbp06QIA9OuWw4cPx5o1a/Df//3f\npEjYV8acTOyNuZSJsWPHAgDde8k3HYd20t55khXf+Fm2bBkqKytx55134ogjjsDAgQNRU1OT8Zdr\n5s2bR/H777+PQYMGAQBGjhyJNWvWID8/H3369KF/X6f2vKmpyfpEz+v1AkCbv6YzYsSIlk85v0pV\nVVVL7eiMGTMy/s/oTh566CEccMABOOiggzL+/dNPP0XHjh1bPnnd1/m+5c5OfD4funbtCr/fj6ee\negq9evVq07nSWu7siubmZgD2t4m8Xq91Dfbl3Pm+5klbHHLIIVi7di39r8hnn32GjRs3tlm7PmLE\nCDQ2NmLDhg30ejqdxiWXXILnnnsO77zzDoYOHfqNj23lypWIx+MYOXLkN25jb2VvzKVvyogRI7Bq\n1apWa+R1vmqdvTVP5s+fj3HjxmHixIl44IEHMv5ijmRXedIaiUQCyWRyt+cvr9eL4cOHf6197G3s\nrXkjcV0XwP+5MjKxq7wpKipCSUkJli9fjgULFrT81HIgEMCoUaOsDwXeeOMNHHTQQS3rdWDfmqv2\nxtx56623sHjxYlRUVKCiogKvv/46gC9/Xvuhhx5qdbtMuXP11Vfjk08+aWmroqICI0eOxGmnnYaK\nioqWDy8y4bqulav7ypiTib0xlzKxcOFCAEDXrl1bfc83HYd20t7rnL3qGz+NjY2oqKig10KhEHr0\n6IFgMIj77rsPN954I9atW4df/OIXGRccjzzyCAYMGICRI0fiySefxAcffID77rsPAHDeeedhypQp\nOOGEE3DnnXeiX79+2LZtG2bOnImBAwfi1FNP3a3jPPXUU3HRRRdhypQpOPnkk1FTU4NbbrkF5eXl\nLd+qyMRxxx2HG2+8ERs3bkS3bt0AAFu2bMGECROQk5ODxx57DM3NzS0P68XFxQgEAi3bb9u2DS+/\n/HKbPz35zjvv4LjjjtutxVg2sbfkzqpVqzB37lwcfPDBaGhowCOPPIJ//OMfePXVV9v86mmm3AGA\nDRs2oLq6GqtWrQLw5YN/VVUVunfvjuLiYgwcOBD9+vXDj3/8Y9xzzz0oLy/HrFmz8Pjjj+POO++k\nfewLubO35AmAluOsrq6m4x42bBgA4Mgjj8SIESPwwx/+EPfddx+MMbjmmmtw0EEHYdy4ca22O2zY\nMHTu3Bnvvvsuzj//fABAKpXCOeecg5kzZ+Lll19GSUlJy/+W7vzq7c7rtzPXEokEtm7dioqKCuTm\n5rb87xjwZS716NEDgwcP3u3z3dvIplwCvhw7dt7TRCLR8p5BgwbRPPRVdv6Hxbx583DYYYfR33S+\n+pJsypPZs2fjxBNPxJlnnolf/vKX9LO1ZWVlrbbbWp5s3boVW7duxebNmwF8OT/m5ua2fDMkPz8f\n48ePx6233orCwkL07dsXCxYswJ/+9Cece+65tI933nkHhx56KPLz83f7fL/PZFPevPDCC2hqasKI\nESOQl5eHlStX4vbbb0fXrl0xYcKEVtttLW+mTZuGvn37onPnzli0aBGuv/56HH744bjgggta3nPz\nzTfjzDPPxOjRo3HsscfiX//6F1588UW8+uqrtI9snKuyKXf69etH79+5FunVqxd69uzZaruZcqdj\nx47o2LEjvS8SiaCoqAj7779/y2s33HADTjvtNHTr1g1NTU14/fXXMW3aNEyePJm2zbYxJxPZlEvT\npk2D1+vFiBEjEAqFMGfOHNx0000488wz2/xQ5j8Zh4A9sM5pF5PQt8CFF15oAFj/+vfvb4wx5rnn\nnjN9+vQxwWDQDBs2zLzzzjvG6/WaqVOnGmP+T/70+OOPm3HjxplgMGh69uxp/v73v9N+qqqqzFVX\nXWXKy8uN3+835eXl5tRTTzULFy6kdnYlkXrwwQfNkCFDTDgcNh06dDAnnXSS+fTTT3d5nkcccYS5\n8847W+KpU6dmPG9k+Enmu+66y0QiEVNXV5ex7YaGBhOJRMz777+/y+PIJvam3Fm+fLk58MADTTgc\nNpFIxBxxxBH0s4VtIXOnrXPfeW7GGLN69Wpz1llnmbKyMhMKhUz//v3N5MmTW+R2xuwbubM35Ykx\nptVx4ats3rzZnHnmmSY3N9fk5eWZiRMnmm3btu3yWkyaNMkcddRRLfHOY8r07/bbb295306JuPwn\nfyL38MMPN7/73e92eRx7K9mYSz169Mj4nrVr17bZ9kUXXWQuv/xy63Wdr7IvT1o7n91ZambKk9tv\nv32XY8727dvN5Zdfbrp27WqCwaDZb7/9zC9/+UvT3Nzc8h7XdU3Pnj3b/IGEvYlsy5tXX33VHHTQ\nQaagoKDlHl511VVmw4YNu7wWmfLm1ltvNZ07dzZ+v990797d3HzzzaapqcnadurUqaZv377G7/eb\nfv36mSeeeMJ6T7bNVdmWO5KvI/ptbW76KpnkzmeddZbp3r27CQQCpqSkxIwdO9Y6/2wbczKRbbn0\n2GOPmf33399EIhETDofN4MGDzd13321isdgur8U3HYf2xDrHMaaN2iOl3ZkzZw7OPvtsrFq1Cjk5\nOd9q25MnT8asWbMsAZmSHWjuKN8WNTU16N+/P958881v/WvKH330EU4++WSsWLEiq/8nTPmSVatW\nYdSoUVi6dOnX+mq2jjn7Ft80T3aHZ599FnfccQcqKiqojEfZ+/ku80bnquxGxxzl22JvWud4J02a\nNKnd9qbskh49eiAvLw95eXnWVw7/UxYuXIhrr73WEtcp2YHmjvJtkZOTg6FDh6Kurs76KvV/ysKF\nC3HWWWdh4MCB32q7yveT4uJi7Lfffkin01+rhl3HnH2Lb5onu8PChQtx2WWXtelpUPZOvuu80bkq\ne9ExR/m22JvWOfqNH0VRFEVRFEVRFEVRlCwlK37VS1EURVEURVEURVEURbHRD34URVEURVEURVEU\nRVGylHb9Ofczzzya4lQyxW/wO+LvaasNRxxyaVeWKH304tsU14lfR6vPK6X47cfuoPikk6+w9nnb\nsqUUP9u/L8WbImGKG+vqxUGz2CvuL6D4+Y+etfZ5zbgzKK5N8bUYdel1FA+vWk3xh0s/oTgGl2I3\naVf4GQ+/5oifD0+L+zXvg0VWG98Fl194OMWpFJ9LIMQi41QibrWx8yced1ISCVLcHG/mNhw+96Ym\nvv7eAq7bHdCtyNpnl4rlFJetr+J9VlVTnBTX2yvukcfPuZ8ydv/wOLyNL8X3LOj3Uzzo0ov574ce\nQPF9TzxK8abGHdY+G1JRil1XdLoEH8O0pz+y2viuOGfikRSnXc6dtOhX+eGI1UasiXPDK35y0fFI\ncR//PZqI8T4NH4PjsX/C0WpT5IbcQn6C73X5lYC47+m0GHsBpBIJiv3iJ7obxXkkXG5D/qS3I/qQ\nm7L3GfTycXnEmfnEeT/xEo/v3xUXXX8pxe+/+BrFzXyp4HXsqTTl59wq6cTjfkQIH6ONDRxH+XrH\nUzzPeANJa5/xenEP8/j6okG0meZjMGL8ENOGnXgAIPqDAbeRL8be2uoaij0+vnZODh9Tcb4tqnd8\n4ufjxbWsq+NruXHNZquN74pxR/A6J5LP51+94nOOGxutNuRlLypmsWxTPY9JkQhfIzkPeH1i/DBy\nD4BHjEMBMQaFEiI3wnwPmlIyH8V85drzFUSu2MfFfzdpEYOP0U3zPmJeu1/2GzeU4mFDe1N8ygn8\n8+GDyg9De9BFCEGNyAIpZXCs6w0kxBjuceTcJK636M/S/ODImSVD/7f24Ih7aPgeuOLvYtlpjR+Z\nbBRGHMjXN1bIPBKxY/+fuCPWW0bMsXklJRSvW7fuax7TN+fw0/mZpKwvzzVhw9crmaH/N1RVUlya\nz84RbwGvmf25fD2ql/NcUxnn9W33Ljx/AYDHy2vH/CJeR2/eyM9SjU18zSNebrO5vo7ivuO7WfsM\ni/OqnMP9qCaax/ts5DZrtm2lOBqV8509X3mDfG28AX5PUMSvP/8Pq43vgheXzKLY6w9R7NvEz75P\n/XOu1caQ8fx8ViierUoK+XrLdWQkh/eZruGcQKn9bJUX4Tm1ADzfv/Yki5IP/OE5FAcStRQ7Pj6G\nnAwDXTQp1vHiWcKX5OfOF59/i+L/unwixXMffJzi4uNPsPbZvyuPKfE4j++RMF+H43oeaLWRCf3G\nj6IoiqIoiqIoiqIoSpaiH/woiqIoiqIoiqIoiqJkKfrBj6IoiqIoiqIoiqIoSpbSro6fpNt27a4R\n3gSf5c4AjPABpIQ/4LSfXMv79PD7w+Vcz93Bz/WDN97439Y+Dy3metmmC66iuDLFtX3129gnULX5\nC4pr/Z34mLhcHwBQXtad4uIAu0c678fn0bxmHsUpb9uuBunOAIC4sWvGv0qHjh3a/Pt3RX6Qa4nj\noh47EWuiOBK2a2yR5HPbWMW1w17hAkjF+J46sobcrKfwk9pt1i7XdCij+JAJ4ynuHBPHsJSdQIla\nrkNNNgp/R8Tuvt0H78/xobzPqjjXqT786ksUr57PdalRIz0Ddo74fdxPHa9wRQTtftxeJIUnyYgx\nKOTnemSpOAGAcIhdFh7Rd1IiN2LSXSb8Gj6Za2nbfeHzCl+OqCf2Qmwj9ukxwivm7tor5BNja0w6\nJPzcpl+Mz0a4ndw07zM/bNf4+2SdtOjbSdf2ArUHIXHPXOHOsMwWXvs4c/N43kCCz7UhLPqNjz0A\nAZ/wlTTzmBSN2vssH8gOu2Qjt+Hz8T2qb+Bjao7z+11H5FkG94X0ZMnUqq3ncS63gB0KHuH0GXBg\nH4qbttpja51wFdVu5PeU9+1lbdNeSDdejvCGeTJcQ4nrkR4x4b4SY25ajiFi3PampUsnw/wvPFW3\nvPEQxZ2LeF596+nnKJ71vzyXxKw+ZLv3HEe6Vngbf4D7RDzG9911xRglrpPlmwFQIPLPJ/pR0p9J\nZPXdI/NGrn/TYu5yMzh+pIRHumscy58jJT+yOTH/u3beBDvwGnrIyMEUL535LsXNctgywkMGPi/p\n8/n/ByIP1H4PN7KrF7i1DM1ZzjrLTbRn8gYAEsIHV7ee1w85/fkaTxjPTiAAWLmOn6W8LvtF+g/g\nfJzztwqKP1/HbpZew3j923dkP2ufQbFGmPPGfIrr68VYWircRV24L485hJ+bNi6z18ifbOK5PCY8\nd4ixg84Rzw6hII+DPjH3J9J2bhXn8NonnuY2kwnb89YepOs5b5IRcb3LBlJ81EHsKQWAuR+x63XE\n0ez8EbcY8tG0oZJdUOFCXsPkCp0fAKQS/My3VVzzcceOoXjta69Q3OkHfIwBL8+f6XQGf5qIgy6/\n8q/X2Zc08Qr2p6bF/Df+h+zxfeavz1j7LLyGncNFcvz9hkOOfuNHURRFURRFURRFURQlS9EPfhRF\nURRFURRFURRFUbIU/eBHURRFURRFURRFURQlS2lXx09KFPtJj0XQcl/IqjrbhxHpUE5xdZJrWROy\nHrNrD4qbRA1z/cBh1j67i8uU2I/rHps9XL9513X897///Gfc4AD2sPjAdaoA0PMkrv8rKOHz7D56\nOMXLX3qY2/Ry3apHSH7SGe68z/CLScO1q9vrufa1vSjuyE4kV9RzNgkfT6OodwYAWUXeVCPe4/A7\nQqEQxfnFfI8N+No4GWpCnWZ2O839cBPFsQTvwwc+zyG9uF456PA93bp9u7XPt6vYddH0yL0UJ8W1\nSyf4uCujXDvrFZ8NO67to0kG+LgCQb6WaV+7DjNE2LTtH0klOA/SGYbEtOg7jtO2o6cpyrXuXuGp\nkI6ggN8uYs4Bj1tGOH1ym1kMdlgPrtmfV7mR4h0pHksT9m2EL8g57hMeBUdcS+m98orzcoX7xSRs\nJ02zy9c/YTg2vj3jTZD+hrziQooD1rnbc1U8zfco5fB9Lsxl90tauMqqxLiWm8fvr6nmPAOAzWvr\nKL61P89FFY08Ji00XLOf8HOuplIpEWfwigj3hVQcBIQjq76ugWKvh69tcxVft9Ub2HUGAI01fO75\npTyHblq/wT7OdsIX4fONSV+cGIS8GXwjxiPHXfEG0S0Css1dKVAydKtUil+MNugopL8AACAASURB\nVPBx1/7jeW7izfcp7i8cVUtSfBABaxYGvEF2rKWFT8MRyeTxCd+a8I6ZuNinj+dYAOhUwu6SwmJu\nc8WH7KwYeuKhVhvfCcJ3ZoRHTDrT3AxzsXT4OF9TAmFlonRDZWguio4UP/80u57iQu1U849bKT70\nOl67JoSXExkceDDyuIRfTp6JPG7LbdS2CwkAjLg/rnSQBuz8bi/SjcI72JHPb8Nanlse+WSB1YYH\n3BcjER5jZ7zObXQKsIslBHab7ljL1+vDGK9/AcBx2W3jetnhEwhz8pR35nE+EOV78NEHPO4nQjxn\nAkBBuDO3US/cecI75oj5yxUOKm9KPGtlSNeGBp7zgrk8LjmePeMyTDXwPfXn8/WX67GSwezOAYDh\n0TkUr97MzyW9yjgPkuI5skN5F4ojebz2lc+uAJAWY2FIuAgr/8lj0LuP/IuPYcpUig/5028p7tub\n/VQAEBD9/d135lJ8/H+dSHFUrNF94hhrxbr/uBMPs/b56j/Y+3P8SafwG6RAaTfRb/woiqIoiqIo\niqIoiqJkKfrBj6IoiqIoiqIoiqIoSpaiH/woiqIoiqIoiqIoiqJkKe0q3/CLem6kua7R8s7IOlzA\nKkKOlHSjuGOgiOKcjh0oLu7fleLqNcu5+ZDtMCgWcUjUiF938sEUv3fOSRQXhLmWL72EawNXzONj\nAoC8ENda+gNcH9ivL9dFvt/MHoSEKxwB4lrGU7aTwufjbbziWscToli7ndiwZQfF0iWSFh6Kxrjt\n+PEI34ArJCfRKJ9bg5frm5sTfL1ycrjeMz9X5DYAv/APeIXjIBrlYzpowmiKx/XnOtOCYr4hrzzw\nuLXPlZVbKPYIx4HHy+fhpvi8OxTweeQID1d1re3bSIhO6fPyeSZTtoukvQjncL2w9PFAuq9g11ob\n4Q8w4nyN9MGEcymOCclBKsmxdAABQLOP64ML4jwuHRjhcW3GG29T7HRk70J+J/aoNPns2uCY4dxI\nivE5GBI+DsvZw9c2GOJ+mkjZ/bKyjh0zoXz2DMVjGZwy7UA8yecWFb6zRJzPrSjX9jQVCe+MVzg5\nNq1nH1fIx9c35fL40Shqxks723XohU3s+FmwjOe3pLhHg8Q+ZzWzc8EIL5HXZ/9fkVAiWH0sEeW8\n8gkXTLqJ97lkER+zP8MyxS98U/Ed7CqQfbQ9cRPC/xQR80CAr6l0uQCAI/0uhuO0GJM8YgxxRbeR\nOpJM6hefj/vekD6DKK7f/AjFSTEvd/BzbpSKXNtuiYeAgHjNJ8agoPS9iPQLBYV/0SP2wcM/AKCT\nWD+UFLM/sSA3w0btgCvEYl6v8DZ5xLyT4b9tLZWNnJzEGzyQbhzhxBOJ8+Br7PMAgGBPXr8mRrFv\nzuPnNUikB6+PTyjjsfXlbWLMyXCeKXnylqOnzT9bjxaWC0lukKFN6WRyYntunXPwsXwPGqu4X2xv\n4mPrVGyvVyvXshcw5Od+UCA8lnUNPH95IzzfuR5e56TT9hyZW8iv1X7ODrraYD7F+33O+bnu48+5\nwTDfpfRQ9hABgL8359vgUfwsVbWCz3Pjao4DQV7fSQ9OJieNP8D3wyt8tj7vnhlzGsV6wRPlp90c\nMR7Ab08cXUfx829g0TKKG4R3raiAn587lPJatkk8v3kzTFZG+E5r5v2b4llPT+djEmOpL8XPMTPu\n+xvFHe/8ibXPivmLKZ5wHDt93DQft+Pyes0jvLs5Rrg/+w629nnwRn6e+2AVr40mHMC+4N1Fv/Gj\nKIqiKIqiKIqiKIqSpegHP4qiKIqiKIqiKIqiKFmKfvCjKIqiKIqiKIqiKIqSpegHP4qiKIqiKIqi\nKIqiKFlKu8qd13zBMsAuQjjqF3I0S7gGwPGxbCqVxxLTrp1YTtWxO4u7OnbkfcaqWEg2tMgWrRpx\nHHllvI8tN15Ecb2QOQeEmNF4WQIVm/uhtc9up5xHsdfPx1UoZFWJpBDNCXmYK4RjboaP/KR8qrGR\npZtSStle1DWwJC4nh2WBvhSfTNDPkkoA8PtY1uf6+XoEAkJsK8W1UjLr4WvR4LUltK4jTYq8zYjD\nD6V4/PgxFOdHa3j7QpainXz6UdY+1z86leJN4rPdQJglcvkRlvxJl2ZYiFgDIVt6mPbxRv6gkJnH\n95z0MCpEcXEpfRXmSK/tWYWb5m2SSb7XUmbtE9cjJIaUWJSlbyF50QE0JfiaFdfzeaxatoGPSchg\n05UNFEtRqJtrj63xELfh8/Nx1dVViy2EYFZcW0fIShMZhPLy+ldXs2wwmbZFie1BMiH6s5DBJ4Ww\nu85jjzmBHnxujZu5P+cWsCTSjfI9DgiZq/BNo7qK51MAuGzAEIo/Winkl3JOFQLv/Qv4RwXWi3vY\nuR//mAIANO2opHjzej7PWELOTSJvhJzfCPluvpBkA0BaCKTDOdzJvMF2Xdr8P/bePNquqkz3fle3\n27NP3+SkPQlJICQkhCRAkJ7QSCMgCIJYIjallGVTXrWk7G55bavUsryWll2JSqOASA8C0oVW2oQm\nfX+SnL7b7WrvH3eMb9znmfsqn9/nzhhnvL//npy911xrrjnnmnvnvL8DdNEaYpEY3E7RC+qsOYHg\n+OpI8JlXJgl9Zwavd4rWmIgf+LEpsXcdfBZkbrwB8v0PPI3nSILNuIrHPHb1SsjJinlGm10zcH/W\n0paH3NSK+zWHTOITJDz3mlAG20l/3ENExC/j2loj8S1L7BtFRPL3hO6ZR0LjJDbXcN5zJGwxZtcz\nrTEO71VJ7vqhD3/aaHPvbz4CmWXO/AcUqjt+B/nr6zdCvmvhCshhXOcZ8OdkzX/mDzLUtZvD6+t8\n9qCxZ9n0TOW/G9FAHnp4N/5DgvNi5fKFkOPJSeMY5Umcv/sncV3v7sW52DsLn1/76Y8VpAr0THTM\nP+6QEZxrzZ24x10542jIG266B9uI8RzCMu3zh811rkKy/R0B/oGJ5mZ83qQ7cN5NDuLxUmn6YwUV\nc5/j0D7HtjCHQZ29UQOYpPUzR2tjJLgPsow/jiLi0bzYPIH7krWCbTxWw3EUZ/HZ1ZKhP47imJ/J\nsyHub5+5FcdFpUyCaP68G+IYyG99FfIjd+OzTkTk/KsvgxxH2FcxrQf8PI1Ijh5E2C+pxPycNPfE\n0yGHL70MuVL5y/74if7Gj6IoiqIoiqIoiqIoyjRFv/hRFEVRFEVRFEVRFEWZpugXP4qiKIqiKIqi\nKIqiKNOUhhbCN5EnhY0xnovfQ8WmTsRgxvIjIK84bD7kTirVzdtY85lZjvXEa+rU9rK74gNLsI78\nlmGsN3QtqkmmAsOYnB7O2F6jzcvWvQXyjDTWgFrktQlcrFm0qRaTvQnZOh6cchXrIu00+mAs69AU\nMbcUsMYzJieElcGR5NjmwMlR3f74+DjkVDMeoyWD95g9AIlNtZV1uqZUwnEwZ+ESyGuORcdPeyve\nEzdNDgUXa4+9pcuMNtd090HeuQ9rv6n0VTIFdCq4XBLt4YXZnuk/4Bp8m8Z32qj5bxweeakmKiXI\nqQyOca9O6b9Hy6RH/gD2bxWn0I3F5PPY53Zo1ukG+w9CPrwVXRjrQ3T8eO6fdmEkJVyj0lm8bhGR\nMZLIjI9hrXZieBNwTamR+ygKcex0dnQabcY+1jmXxvD+ZLLmOtUIfLoWXtKbMzimK1nzUepQHXnH\nzF7I+7b1Q+7qQ39OvHc/ZLeE96fNNmvfX921Gf8h5vmL5x2HOE7ayTP0eoL9sH2T+axKYno2UWe5\nHj3/yCtk2XUkN/8H5eKY+Y9UPx+Tn6q9jhegUXzql9+HPELehDDAMW7lzP9/W07+w2Zy+sQJ3rdi\niPN5Wz/6OabIIdHRji4nEZG2Z16C/NyXvwl5OKH7ynslcoKNbsdnz6I6TrqWNjzvpk70J86chXMi\nqKBnzN2Pa9RkgH3ZMQvXTRGRiPxpPuUwPDT7HM/FZ1VCazh7rZKkzgbZ+Cf8B5vWcGpCWBsU0yb8\nHf/2HaPJ4jVvhdzqoKMjoDYzIfqrDpx5KeSffOYMyFd/8xGjTTsivw7ND/aDcjb6jv09dfYB7Euy\nyNNiO3/aG/TXZN7MNsitBfRpsXdtYMjco7S3oV9njkfeyzE8xo4JXGPbZvRAntGOa9ieveazw6rQ\n5xgLn/f7n0H/U0bI6WORP422Uu6U6YfqSmHfDPfjM2+Unv1V2jR79LwqTqKXMFVnzxIGeIw4wLmc\nOkR75HFyGdYOHoCcIwdoxtQ0yXCI6+cZ510I2aHP3Ivuvg3yrkEcd4fPwNenc6Zb9tGf/Qhy/2tb\nIHs2O27xnmXoc41Dzsb9d6IzSETkxWPRN7VqET6bbPLmxRbve7BNK8HsV819UCg45ybos21qL34O\nEDzF/yv6Gz+KoiiKoiiKoiiKoijTFP3iR1EURVEURVEURVEUZZqiX/woiqIoiqIoiqIoiqJMUxrr\n+OlBt0VCzhjSDUjaM2v74hIWGa7/8N9AfoJrfcmvE1GdulXB14fzzzHafODn/wj5lms/DLnGpb0O\n1mv2rVsH+eCjD0JOBWYd6n1/+17I/7kXa/YjBz0BaR/rcVvIQRHW8OdTI6Y3ISQPUK4Ja1Urf8Zd\n8tciS46Iso/1mJUiXpuTMr/PLHH9Jf08Dnlc4DG51p1xYvMe5pq7Ia88eg3kuV1dkL0I26g6VJdK\ntcWJhz4EEZFjTj8F8gM//SHk/VRHOj6O86mpDT1CtRzWcTfXqbct5LiWlfwo7qGrfR+K0SHjVHDN\nmUzhuc5OmdfH92GqjPOgKcA+StPreeyENBadBMeziMhZbeiDeYPq4y0H11JpobV1FNcLKeJSHxoz\nQESyVHNcw/P0Ba+zRvXhEd33phb0ZA2PoldLRCSdxbEzd/FsbHOiTlF5A7Bs8jk4eG3NbegamBox\n18bBvXRfyR2SVPEe9G/Ceu0kRTXhNM7Wtpi+raEJ8u3QPevpwLF5oJ/cFrR2HmfjuHraR1eUiMji\n5Ysgj42ih2VgO2aH3ETs27AKOAdzddYcKp+X1mbsiz079xnvaRSfefenIWfy5IMqYn+Mj5vz36I1\nxKF9jU8+rjTJyZyYfAEU3cR8/v/PlSgI2Erz1bbwIFULx5qX4M+tSRwr1gQL5EQKS9DBU6VjDFNu\naZ0BOaqR29CntdYxfRtD49j/2TyOryBGZ0WjCMn54PJN+zP+HZE6c4kmCjt9LJt/Tv1XOBzyt1cb\nTYrHvq0Ix4V9/0+xjbPfB7kthXvZE5d8En+e3G+0OcYLAPl3YsqGw4fcR2a/1ZP8UKbbU4vN8d0o\nWnO4b9v47AbIfoQurVTefHZMjQ1gprnXvRD3m9l9OL93bcA9ylAbHq+zbabRZsXGfc5bF+JrHn34\nDsiWjXM1os93pMWUcHDSaHNsH3rBrCw+y6vjOP+9NO6dqhX6eQrfH/vmOEhcXIeiBPvOcIY2CJ+8\ngb6Pa366hB26KzDnxVtOxc81tRrtuekeHX7a6ZD33og+nfELLoA8u2juGzOv74Ac0HMgL7gGHfaJ\nL0Ge+s1/QD6wH5+H+THaP4vI6PqnIe+dhZ/fZtKeMUV725A8e6QpEycyx8CD9+J3BWdeeRXkHK+D\nbxL9jR9FURRFURRFURRFUZRpin7xoyiKoiiKoiiKoiiKMk3RL34URVEURVEURVEURVGmKQ11/AyR\nT8QtYn1hRw86IRxyAImIuFl0DmQKVNtONctcBu2Q40fIm+IvRceEiMj6L2LNfkjfl1kWHrNwMdbh\ndV+A3qD+PzwMOQjNGv9shPWyq/LYZn+Mta5xGn8+NY51kTXyS9i2+Z2fRTWGfoD3y3LQzdAouB47\n5ZFDhV6fIr+RiIgfcd0t1bKzl4bqL9PkfnGplpjrfEVEFi45BvIxy5ZDzjtUlx7gPaqEeE6OgzWi\nKTH9Be0rlkCelyH3RRHvqU2F6sVJdJWEMdaG19P1pKnGv1qh8Ryb87hRjI9i7W7pIPoEupsOgxzX\nTPdNP/lyOtvbICchji2bHCYhrWMOdWJuDM9JRMSfxGMOlzGXCp2Q1779Ysj77vs1vn8n1rWzZ0VE\npJUK5EfIIzI+hecZUZFymublyNAw5KYCjiURkUwGx/DIyATkyoTZN40goXrsCjnASgO4vhaa8Nkl\nIpKi+ZrNkQsgjz8fn8K5WSLVSCdpnSbHzTp0m9aE2uLjIZ98HeZfv/8r+P4Y35+O8LpbU+aas/ml\nzZBz6VbIXhrXh3IV14dMAf0UWVoXKyw3EZFu8v7UyP3X0tpivKdh1HAM2xmcF6kS/rw81G8cIm3j\n1ixDvsNqhNcbUZ+55DixXHz/Wb14j0REXnjkD5An6clKejQ5429xn/PiT27Ac6L3b7vxNqPNhx5D\nT8IUbUnjhPYktDyHVZwkPV3oIdlfNZ1UDnkqSuQuTGy80KdvR8/CXwuXfA0R7QcScsjYdTw0cT03\nzf95DN73sPOS8rnf/jEe4PyLjGO65JM6mEZvS2/zW7DN0xbi+x/ehQf8Oo6rl7b/wmizb+EH8R9o\nnbJp7JHCR+I6awq8vo4Cj8ViFm0pgxKu543k5Rd3Q85mcH/QQQ+PWXNxDyMiQkuKDO7DuedOYK6S\n+2b2XLzvHbSfmCyi+0VEpNCJffrYz2+B7Dnk0rPxWbLgxBWQ+9c/he/3zY+40TB5bObjs6LQgdmv\n4B7Ey+A5JxVcP3Jt5j7HJq/b3ONx/W1tNT12jSBHnyujKbxHByLcJ56y7iTjGGHEbjKcWwl9Xq7Z\nuIc45+1nQr7j7ifwHAbxnoqIvLF5O+SMhZ/5ihl8Dhz39+jl9fvwum786HWQDb+aiJQm8Lm9775H\nIBfOORlyc4T31KfPmEmCC8i9t6DrSETknPei69eOcO9UreNcejPob/woiqIoiqIoiqIoiqJMU/SL\nH0VRFEVRFEVRFEVRlGmKfvGjKIqiKIqiKIqiKIoyTWmo42fiIHompmpYnz1r9irInk2FuSISW/hv\nAblrAgd/Xitj3W06RU4g8pN86GisDRQROfDj1yH7DrYZN/VAXnzZuyEngq/PrliJ5/zC00abbg2v\n48gU1iTuCbDvohoV4FOtd0AeEqfOra+ReyHl4PeC5clD49uwSKiT9rAvbPJv8JgQEUki7M84xvc0\nt2ANdEx1q9QVEtSwXrPQa7qhjj8ea9vbm8iX49I5hdiIHeM9jGJsMw5Nl5HdguP31LVYk7vl0fWQ\nx6nvIhvbzLh4TinbrCmdnESPgpfCOZXLmjXPjSIX4vkW89hn4RSO+S1jA8YxmnqwXt6hsZNiv1YZ\n50mRXE3NNLd7Jtk/JbJjHNfKwMaa/BknnI7ntHQZ5K5dz0Ie2Iu+HSs019aMT16QGp4Xu7Yyaaxh\ntmJca1tovLN/TURk7CDW2wc8Tw2DV2NIk8/Bs3C9DOi8gjIJEkTEzeO1lFLk8JnAn8+YhXPX2Y/j\n6OIefM5sL6LXQUTEjvG83/XDb0D2mvA6Vp58O+QNj+zD49k4dte4phvq9XnodqhN4nVWxnCOseOq\nOY/jaGQ/jtUkbT6rBirkvCljG7OXLTDe0yhauY/Is8brY1cdn0CVHFw29VkTeVXYq+CQ8ycXoWPi\n4hlHGW3esnMHHtPCZ+JhF54NuffqK7HN28jhM4Vjsbp3m9FmdgIdbP20Vnr0vKmRe2uQPGQz58zH\n91fNPYtLrsIDO3EeJclf5k34/0pkuOLwHlsezoOwzj7H2DLzpVC2aU33UzMg/+fFsyAH3zLXcM/D\ne9LzEDmRaC+a/tqtkGvH4bPLSnDcBR+812jzA/Nx/f3xjj/t9OHHnU2fI4TuecIHqHPQiJ5/bflD\n5xXj/enUCHpniiF+XqiQG0tEZGoS72O+HcfCBDl6WprxPk1UcI0pkpewsw/dTiIiSzI4Fzf4uDZG\nEV5Y50m4n+05AcfO6KsbIFeHsB9ERJIBer7MwP1dQH61iD7vLT5+DuSxA+ibac2ZHryqYF8UZuI6\n195yaH4Hwz+A6+/+PPr2Lj6DnD6xeZ4pctxatHeKyW0j5LwstqLn7ZyT50J+4QvoqxQRsX3sY8fB\nc1j7L9/BN5AfrfWcCyC3NX0V8nDF3M/tue9RyGf89FuQH3sM99znnI19Z5Pr9Jnf4+f+C6++xmjT\no3ET0HzwfdMP/GbQ3/hRFEVRFEVRFEVRFEWZpugXP4qiKIqiKIqiKIqiKNMU/eJHURRFURRFURRF\nURRlmtJQx8/sbqwJzXX1Qc5SWW25aNah2lRX65E3okbulZTj/smfB534/sH/+L7RJqtU0gke85hv\n/wRfT1+nWdTNh7/nvZCf/+NTZptUZ9oUYa16dgrzANWtu1RnWR5DD4u4dRw/Ptb4xlT37Hqm36ER\npLJYz+n7WCtpUw2uXzTrMy2LnAgOjqOIvCuFAo7VtrZmyOMjWFu5cvWJRpuH92F9vJdQPaaN1xVR\nDahLY9cKqI69zuyNyH1x5CmnQV5MY+21IrZZI49AWxsO/iTCMSIiks2RH4nqgFPkuGgkw6MTkAMb\n+2doZBByKTavr0Bz0SY3U6WEnpqRCtbCp1LYPy0D+PO2GM9JRGRngH3o9GLd84JTcLz55L5oWrYU\n29iAfo2poUmjzeo4nkdXM9VRN5EnrAmvq1bB9dojn1pKzOuMyMHmpuk9KfM9jSAhfwb7jJo8zKPj\npkukpa0Dcs7F9+SbcD6PTWD/FVpxnO3fii4BxzXdWZUF6Mnbd9uPIb/825cgn/aJD0He/PTHINd8\nbMPyzflh70OPQm7JIsjBOM7BuQtwXawVcf7M6MC1dsoyPU/N5IbYP4l9Vxuk510D6VqxBPKOQfJr\nkQMiv9T0w42N4HiqNJHjJ2yCXIpwbvZ2zoR8RTO+//dPPWG0GSbYpxXyWK34EDoIxgM85twLzoK8\n5Yb7IbuWuX/oIofcbnrO5rtbIdcO4FjKefj+iVZyuJnDVapjuPZZ5GC0nEO05lCmLZyE5DOKItPx\nw0qfhB1pf6aREz//A8ijZ5Kn0DE3HQcqeM/mko8qIadHQs+B3K/+B+TaVV+EnDlo7o+/fO/LkK8/\nbDnkkktezRb0o11xJjryZi3CcZbrwvklIpLr7IZcmI3OmpbMoRk3IiJNPXj+QRF9O8kUzr3+Ouuj\n10SfrXK4Lufo+orkMrRo2+03o5fwyPlHGm2++p93Q45pPDqteN/6zjgVcpLC+zznGNz3bHrI9Kdm\nAjzR4OB+yGVag1L0mD2wfSPkQifOiVKExxMRiXycuzs2489HaN8tlxiH+Kuwai268AaePAB5skyf\ntWxz3GQc9jLhZ+yshz/ne5xUcT3ecNMNkF98Y6/Rpkf9Vc6h223lRTi/gwm850UP5/eqqy+F/MAP\nTK9Qa4D7nCdf2wr5jPn4zN2+Az9b7Hz+MXz9le+CnLHIhSQiNVq+eZiUzLe8KfQ3fhRFURRFURRF\nURRFUaYp+sWPoiiKoiiKoiiKoijKNEW/+FEURVEURVEURVEURZmmNNTx0zu/DzLXpU9RQXY2azoM\nqjWqz+QSZjpmkpDDxEHXy9dWrYX8+vp7jTYtwfeUlpwEudhEdel0TqTrkKSnD3KYw/pcERF3CmvZ\nuXr48DR6Aoo2nuNUDesRs23Yhj9lOiky1N8h9129gvkGMDSKNaCZFNbxxzHeczttOmVSabw2dkO5\nVAtfKeE421vG/lyw/DjIJx59lNFmll1P5OTgsRslf7oeP7Kogr9qOrDYp2PRWDtx7RrI+597BfJQ\nFRutUnbIlSQiEiU4Liw672poOjoaRRjSP5BvIBQskrXSJPQSkYMlrJdv68W682OWo1/AH8K59dpm\nLOg+acYcyOtffMFos5SZAXnxW7Fm2Sng0p3xcSz4s/A+54/aBHni92btO0ujWizyo9l4Y0e4xp+8\nN7ksegUmhnBNExERcnQU2sitELCUojHE5KnIkPNhfB96W1L5gnGM4X58TWse1+wkj+tBiib8aTEe\n84CD88jhiSYiV3wG5QDP/gP6MloFJ8Qz30I/3fFXnwP58R89Dpm9byIiS1xcc+57Gcdamq7z4B6s\nfe9ZhI6bYnAQctdMdGuIiDjUV6sXYH39+C5so5HYkzgvZnd0QR4nH9HIzleNY1hlnDtJhOtuvoo/\nn/TRH9dNPsWjxrFPb0nqzCvaqCz/GLoI/TQek116C99xBeRdt6Djp1wx27RGaG2t4l7Kz+F1BxO4\nF+C9lVPG8VmOTQmCU2M3DraR1OubBmCx1IdOw6N5xh4yEZGI90LGdCUnJnkG//UjqyE3/wqfAS7v\nQURk1n0P4znQunTKhTgubrrtJsizF78T8lju85Ctivn/01Pnngv5F1+5API7v4BjL/bRq3fDw+jb\ncJ/G575dZ21Ne7iOVWNym3Tiet3/CPoV/5r0b0A3S6YV/TopWrfb6jg+wxTt08KAIvZJmj4vJDHO\no7TXDnniqeeNNj0HjxHTZ46uM3DfQ1NVLNrHNy0/GrL7DLqgREQs8tZEQ/isyPfgfU234rrXlMLr\nGtw+ALltpjlebcHxVR7EPXMp4Y1qg2idB/GC1Xge65/HvenRSxcbh6g6+Dxz0ji2AvJPJrQHiXfh\nfmHwBfRRWq65J/ciHKvnXo9u3qCCz0OfPqMkIe5Vj3j/tZDX/+cvjTb9GJ+52375G8i99LxcMhf3\nLZub8TO4FeM1BLb5rIpDHPCWh7lc/ss+k+tv/CiKoiiKoiiKoiiKokxT9IsfRVEURVEURVEURVGU\naYp+8aMoiqIoiqIoiqIoijJN0S9+FEVRFEVRFEVRFEVRpikNlTv7EcqLMjY2X66idKsSmeIil+TM\nMb0mcVHA5HgoNbvgzPMgb3/wFmzAZo2yyFSEYs8zPvcl/LmFsqoJEjE6JEWNBOVhyz/2IaPNl7/8\nNcgsI56bxWNunkJ53f6JKTwg9bXrmN/5TdSwL9M57Mt09dBIettzJNUjkWUtwOw4pgysVsb+iVJ4\n/TZJIH0ff94xey7kU487AXIha0qPWc4YhjgWA0PEiG+I6QC2jffD5gbqf5zSagAAIABJREFUQfK8\neUuWQm5+6iXIAwGeU5WbsM02m/LY3yWS/lZDlIA2kijGNYXPNaCxk6b1Q0Skc9YsyAuWHA5544YX\nIe8fQGHpnHGci/2DY5CrhRajzewcbGPWscsgx+MoDr7vrrshv1rBY1510hLIqWc2Gm36kyTdm8Q5\n09SKItDBKvZdNYXjO6a+r/jm+sFjulRGUWByiOTOXhafA2WS4efoyVms0HorImGI5x5msb/sIq1B\nDvbf4OB+yFYG5/J+G4XGIiL5NEo+ExvvqUOST6syDnn+B1CSuO3WJyHvGTGFsuzCXZnBcfIy/UEG\nl65zaG8/5NZOlGkW2sw/8jCyG4WapUH6QxH2IRTKk6izOIHP1WKAgycKzD6NLezDOfP6IAdbd+Pr\ny9jHl6TxefboC1uwAdvc+pVaUE479/wLIVfoPoqDN36Szrn3THxG7r73OaPNOMFjdtH43D+G60E0\nhbl1Nor2a5O4tto5lEWLiIQBCf3JVxzXEfs2goT/uAOZbIMQ148oqjfG8WIiuhT+IxaL//YbkKfW\noLx1vtcBOY7NfY7dRc+vBOfm+C4ce98r4j38Zgvur7sfxDVn8mRTkuzQNv2Ejg9CPsz6LeQtVZKk\n0l99cGJcY8ol/GMeIiJT1N9eCk8i3GfO40bRNQfvk0eDOqLPXiOj5vOKBcSJhdfr1+j5xebwDK7b\n7zh1JeSn/u02o02HPguF3fhMa11yGOTRGl5Hj49r60EbpdadR5gy4oHncM+bSmhPOIjP0DESYY+P\n4etbM9j3wYj5uXVwkPougxPTjc0/ttMIYpbj075z6dgzkLf14/oqItI3G9fYkITDCX1mp7+bIS/9\n+mbIe/biniRrGuplsmch5HmrjoFconFhWZgd+kMmQ4UFkNe8Ff/ok4jIH+5GOXnzAO7PclmUOXcs\nxD/iMveJRyC/vHsf5BWzcByJiHi00CW0fsd/4ZKjv/GjKIqiKIqiKIqiKIoyTdEvfhRFURRFURRF\nURRFUaYp+sWPoiiKoiiKoiiKoijKNKWhjp+ECo4rFayjTaWw3tOv43eoUj28k6J6efKmRHYn5IUv\nYs3imIv1mnZgdsmKL30d8qRFhXUJfn/2kZNOh/zPT/4eco+FbWSOOctoM9Pyb5Crk1gjmqEaxpZJ\n7EubarHDGGsDbdus1c6k0Lfhk8MjDg6NNyGfwf7yHLzHmTTWZ5cq5nl6HvVHgvcwm8E6c7cJ65XX\nkNNnyZwZeHzX7M+ISlMdo9aV7wnmkMa6bWG9p8VyAhEJfPIwxDiHWucdAXnVHKxD3fH6JsjViMZ6\nHTfUKI3FKMQ6bM81nUuNYsER8yCXyI3D+qFQTB9R/8adkHe+uB2yTfXz2RTe58ta0BH0nIXvD6JW\no80V550E+bV77oL85CPrIY/QmD/vk5+G3N1L6+SyZ402dz6F9z4T43pslXEsZajN8RK6G0JyuUR1\n1vN8HtecyYEJyLF1aP5vokoeihKthS1Z7Ju8Z56nP4aOpNFRPEZzD86L89twHBycoOcj+U/ed/NN\nRpupRXhP8ktuhTy4CWv0T/sWOn3KMXpejvsf74O879rvGW2G5EiY4ZArjm57yzxcO8cOYK18aQrX\n99efJD+NiMQhuf4SHDcF9o40EPaHFGnNsdM45oM67qumAq71uRT6c8bJN7KsA3+eHURv0iR5EtKJ\n6TJc++XP4nmRwyQVkruCjhmScODwd14BeffdjxttWjEeI09erFby9Y0WcHx2dtNYGhqB7OTNeVkj\nx09Ez0ipo+trBDZ5HNlP57l4P+J6bija/1oWjrXQxnHy1evOgLz8EdwvV2nfKN+50WgzTd6/RNCz\n4tE+Z2gE10Vpwb2W5aK3ybl4hdFmfAv6oqrffS/k9dsfhDxz4QXUBj4PQ/bXOKbrz6Y1nh2Lqcyh\n+3/03h6cF83duP45Pj5L9m43x87BQZzf/iT+vKUT7+vodnQ5zT/9SMhP/Rc6fSzLdLWxQ3LhRehz\nuuOfvgh52ac+j8fcfC/ke1HfI5ddbo6d4Q1v4D/gciDJGO1fO3ANapuD1xHUBiEPHDSalMTFeem2\n4lzuyXWZb2oAHgn6fHJ8dq44FvLw/djfIiITM3ANaXdxDx3S54P196BXN3hxKx6QppFfxyv2gXvR\nafnQp66E/I3HcP9262PXQ/7UMnRHLfrKDZCv/fjHjTYzd74dsmXhHvCxH+F+7Ig1/wj5LRfhGnT/\nL/D1A1fh81JEpDPASZizcY/o1/W8/Xn0N34URVEURVEURVEURVGmKfrFj6IoiqIoiqIoiqIoyjRF\nv/hRFEVRFEVRFEVRFEWZpjTU8VMMsFYvoZrPWsDOEvN7KZscI+w0CUN0tXzj6nMhb/3VzyFH5OcJ\n5i412rSWoRclpprwFJ32p//mfMjf+Sn6OT77gYvxnBPzNnSfhee99+abISdUb3xcM9Zmrz+AHpFS\ngrWABXLYiIiE7IehGuaQauMbhZPBWsqmNPYX6XoMB5CISJGuLUe17kEZb+Jhxx4NedVSrF9OC9fS\nm/XLpOSQMrlguKZfyIHlsIeJyjkTzxw3tmCjloOdE8ZY+33iKqyBfn54CPLWMXRnlGvkeRAR18N6\neM/DmuhUHZ9Uozi4/wBk0ixJSwv2x9R4yThGzsJrzmbxeh0bx+fpGay3H5hAr0oY4Nxro7EmIjK8\nfQPkV14mz0llCmLaaoY8OII/9+bPhdx13HFGm4MbNkOeIq9YNsHrbHGxH0oejr2ghnMkEdMrELIP\nysIbVAnN9zQEWuPjCp7HCC2V+YzpsZrd2wF57yCNgzJO6KSMLhie3eO5+ZDbl5oeG7+E/XnGf/wX\nvmA/ujFKrfi8DOg5kVr9TshL33Kn0eYbT+zDf3DQX3BsAdt4Ygivc+G8mZCLRZxv1RDr9UVEEg/P\nM5PGtbStxVyPG0VpaoL+BZ81MQ2VKDTr9At5XCOaMngM7EGRDy/FPcr6FzdCLtMaVZqFY0lExFmx\nCv/BwvnPew5+/sTkR0w6ZkOe+5blRps7n6F1LcD1N3UQx3OQxjWmqRmdB4PkPKjnwStXaDzRa9w6\n72kECfk22AnoBzgv6q2nvGe2aJ/Sc/m1kOf/3eWQK+SvdMgrWDgOx1m9NhNyw7XZeA9bOshpZ/Q3\n9oP76RuEmbp1MeQMje/tb/8B5HfPwHO8fhz7tpCjzyJl0/XHXkjel9r2oRk3IiKVKezjYgueS3ca\nnxXN3eYeuRrgujVVZScr+ka8mXgPTp+J+571I+TRNLVJYpFDprlAfcrPoyzex9IUPlOtZvQpZufg\nOYqItM/HdWlky27IXgXXsVQF2wzpyZz2cDwvOMycl3t2og8pGMS+3VLC62gUPq05uQzepIh8tKvO\nPdU4xq9/jQ7b405AH+rD99wHef7W1yBvoT23RV7HzHFnGm02teJ8rQ6iJ9DOoSfMo7VTfPItdqG/\nyupB96mISMcC9DDt34V7bNn4PMS92/DnM/vwmX7yJesg//YXvzXaPPntF0HOpHCe+/yh8E2iv/Gj\nKIqiKIqiKIqiKIoyTdEvfhRFURRFURRFURRFUaYp+sWPoiiKoiiKoiiKoijKNKWhjh/bwnpCruWL\nYqxXq1cyG5J7QSK8hBNPXg15+89/BDkQrLPzPawpPebrXzUbJVmLQ+cV0illWrDWdeN//2fIO69A\nf89RedMP0fW2KyAP3H4bZJ+8AF4G88Ic1mpuJ79SbJu1gQndjzTV8Af+oXH8VKtYj5zLYn1nlJQh\nW3Vq35MIb5pPrpe5R6DD59gl6F3pbMZad8unm+6a/bnvFawdfoMGzlJqs9Ol/k7wuj0Hx2olMu9H\nnnw6QRVrWdM0qVKL8RzmPvgo5C1UQ+qk67gzyKvgpGg8O39ZHer/H3h0LrGNY2Oiir4HxzGXxCa6\n9z55EGb72Ke9NTzmc8No5Kjk50Fevu5ko83df7gJ3zNVhFylRcfJowNk1jx0+oTssZhjuhp6jkTv\nR/n5HZBrFazF7upEb8BYldwmHp1j2vx/Bo8EaRXyiKVTOOYbhWPR+krPrqZmnAfjE3h/RERGqK7c\nI2fHqixe2/7RUXw9/b/M2d/5F8huWOcB6WGbwY/Og5wNcE1JtxyG77/yFxATC89x5T9dZzS547wP\nQ/bpGZ0tYt/0tuOcHB4eh1wcxjXLj00fRfuMGZDbmrEvworp6GgUjo1rSFijfQ0tj0ls3seaj/ex\nkEWH10kt+Hw/sGUn5ArtWUJyoGSuer/R5qsHBiEffhi6l+wqPmdHJ9AHl23uhezS82zW1e8y2tzz\nzGcgW/T8aqZnYKuPcyKfw36pRbg221GdvQCNT5vWxoTlfA3CaJb8Jp6D99yvtx+j91RD7M9PfPsD\nkNtP/xW+n5we4Re+CzlyTVGLTZ4Qob1lF/m4ci5dKL+fYtqq8//TN38TYvnKT0GeEb0E+bqH0SX1\ny2OOglyr4diOWQYoIhY5SGMea465j28UPfNxj7L9efT1baF9W77NPFengK9xyINSreH1nrIOfagv\n3fAgZDuNbUySL0pEZOUFF+J7hrZCHnfxPZ5LniX6bBAmuPeaEtNlOu/4YyDv34x91WrjvsYfx2dJ\ndQTnwLY9uG52NJl9O+Xjeeey5C7K0KBvEBZ5RmvkVHQ97N/RxOxPf/c2yD986hHIZ5x2EuS9vyMn\nIH0N4dcwv+en+BleRCSk5+Oe/fgsSuUW0jtwrazS+7Ot+Jm9Vuez1Rlfws/xN1/195DzLo69J268\nBfK7/+l9eA4duEc/+8QFRpu/f/oxyCeRP6lSxw/4ZtDf+FEURVEURVEURVEURZmm6Bc/iqIoiqIo\niqIoiqIo0xT94kdRFEVRFEVRFEVRFGWa0lDHz+jBg9i4TTWfVPprJebpVUpjkHuOQFfFku0b8fUO\nui9S5G5ou/w9kKN0k9GmRTXI7Phxqfb1iz/AmsTWygjkh5/HOtajTkXPiohIWOiBnFuN7iL/mefw\nHMmDsLKnHfLmXViH6kZmrTaXWrseviadMmt0G0G1jDW2IZ2ol8LzjMV0QgQ+1csXWiEvICfKgg4c\nB9Ekeiq89m5sIMZxKSJyz/exPv6u3ViH2jZ3MWRWPfXMRGeCRcXvfYdjrbKIyKpzsQZ0KdXkRzHW\ntrqt6HE4+kisjX32EZyzY5bpTIhCrAUvjWO2s4fG0yIiUvGxdt+jc3HJ6VMtosdGRKQU4Y3JFfD7\n8kVT2CebB7DPqk4b5MLqlZCb5qKvRERkVi/O38pTWEedacHxZ7fNxp9n8Ryr5E9LZzuNNluPwfPy\nXkbHT1DB60zIYbOwB+fUgQTrpGPLdGdE5JzJZ7C+PkwOkePHRcdDth3Xgyz5S2zLrH0fG8N5EJIL\na3ZxCl9PHpaig+Ni/uo5kKvU/yIi7vATkJtDrlUn19ME+g1sB8dNiV5vz15jtLn2Cvy3x36Ffg2L\nfBlLpvCc1pOTzaI5unA1eYhEJK7iejy4Hf1IVvrQPKtERGrkqYojvP5CM64n+80lVQLyIuVtXMcv\nm4Pz/a6nXoAc0t5q9lnnQN7qm3Nx7CCO11/e+RPIV73nMsh7+ichb7oZHR/nXHEB5Mf2oANBRGQp\necUOvLILchzjOc3No9OnqYDzjhQ34tTxw/BzNKExbvFGtEHMaMKBMFLGNSZKaJ7UcUOx37Bj3d9B\nvupfPgq5Qses1rBvOs45FbJTV0VCjiTB8f7O03CP/nxE+zMLx3bCLlDemIpIev7FkEcz/w2yV6Q5\neBG6zm77Lu77/+affwe5OoHeMRGRxCMHJnn1wpq5HjcKr6kDcpDGvWYuR37IKXOfE5VxLJRGsA87\n1qAXqev1TZAnyL9l0fN+/iWXGm02C67bN/5P/Ow048R1kBe24b4ofMuxkFu/fTvkFza+xWjznBW4\nb54171nIU3sHIEfDeF8TcljV6PPfqGP6Yfgzik/vcfizcINgr1gmg8+msIxr9h03/to4xts+gq6b\ny8N+yE9+8TuQp9jZGuO46f2bayG7Lj4DRESu/+w/QL73Ffz89b6foCPXo88BAfmmmgp43UnVfCi7\nK9HF2dKDe9XBUeyriYfvhzz2kashN7fiOuktWW60OfvluyA/eOdDkJecdIbxnjeD/saPoiiKoiiK\noiiKoijKNEW/+FEURVEURVEURVEURZmm6Bc/iqIoiqIoiqIoiqIo05SGOn6iCtbqeS1YV1ekuv2l\n52FNuYhI/OLvIZ+zCp0kwXp0HET01dZYE3oSjrwY27DFrCeusPuG3Ay3/+bnkA/s2E/HxOtc04Eu\nDInN798SchHNeecHIY8+8zRkK4W3clEz1g/OacZ65H7frGEMybcxOYnXWa/WuhGUq+j4camQ3x9H\n14BV5/tMN1WAvKB3HuSj5qLjJxtjnW4T1VBHVOcbVkguICInvQ1rQr2HXoZ8y7Powtjn4DjZ/Mrr\neECSS933e/RZiYisqmFt97cuOReyS/X3loW134evQV/HMZt3Qn52EmuyRUSmJnDceOSC8hOzRrdh\nxDhmayUcS2XyrkhozosgxH7vGMZ50VxAh88OJwvZbkYfx4J1p9Lx8ZxERGyaa5GF87tJJiAfnMA5\nMDSKNc+dOXT6FGyzzUoL+jasw/C8/Vf24TmS0qCFnGy1Cq7nvm06KdjBEbv4mmrl0IydiPwE5VGs\nEY+a0S2Scs1rI02QHNOCnqCxEo61yMIOXfH5L0JO0znV6qhIvK5TIE+5WIdeCPGeyOzzIfourgee\noAui5ptuuMM++a+QX7gNz6FYZgcIzrlZlKdmo9/Oi0xnwuQAXketin2XKTR0awOwNyGhuWw7tObU\ncV+R5kSOy2O/b7wf1/4gjYOtFOEafOY1l0B+5Mv/brS5f8kKyOHGDZB/8xV0fk114l5q5MknId+8\n+1U8x7bDjTZPe8fbIA+8+j3ItuB1N5OrjLY1Ytv0fIvM9dy22UVC+4U661QjOPla9JHURochj03i\nXPbG0dsoIlJtxnXq3C9dhz+/AB2AvFdq/ujXIRvLWp2xysS0h37ruRdC7s//v/z/5npN0vzofQTH\n3uDKE/EQLj4vjyrhz2cXr4e8K2e6PmtFdHhUaF/alDp0LsOXnkMHYER7lvIQXn9QNddUdtWUE5xL\nFxyBzrnXr38AskfPjmIB9xPdKxcYbe5/6E7I+9LYxgcuRTdTEuF+ID0TfT3r1r4C+aannzHaPOmY\nKyF3rVkKeWD7dsgZBz872JPYdx65DCeK5p7FzeE61tKOrrLAMu9HI3Do80AwifvG+x54DPK7r/2w\ncQzfwnmx+b9oLm3A/kzRuKq5+Nlq3T+iMyiYxPeLiDx8C7pvLv/RTyGfeQo+y4oH0Kvr01cfLu1B\ngjrfA/CcWnvt+yDfTi6jTIJ7p8dvR//UukvPhrz1ifVGm95C9KO9oxc/p74R/GXPKv2NH0VRFEVR\nFEVRFEVRlGmKfvGjKIqiKIqiKIqiKIoyTdEvfhRFURRFURRFURRFUaYpDS2Eb5uDzojIw5rQOZle\nyKdcfY1xjI07sZY38zJ6UyoefZcVYD75ez+EzN4JKzBrwm+7+wbISQnrNds2Yl1pOcLC8/+47w7I\nYzH6CXYeHDHanN2NdY9Nc7DWz5uL9bL+3l348xC9K8ty6B3ZXTJdLak03o+Y6uOTGI/ZKGKSZbgO\n9n9MPqTxOlqQpfPRBfWWI7GutyuN/ZNO4z200tim5eK4SqTbaHPJBedAXtyF7oonX34W8r4AvQwZ\nH8dJlWqJQxvPWURk2eHoUYipQD6ysC8TcuC4M/ogr+jDvGmrOW4cF51VQY3qlcND5/gJDJcV1cSS\nsyCdMfvUI8/MlcecBPnpp7AOumRjf/SdhO4Gpx1rxptz5pozVsY2e09cB/n8BXjffnLHHsjdDs7l\nbAV9EdtfMP1Qt9/2EOS5fbgG9eQOQA5quB7EY1jTnM/i42WyhG4kEXN85jI478Lg0NS+29Ruto2c\nPhHOI68Z/VwiIiG5RFaVcQ3ZFeN9n0zaIa88dxXkGq1zHtXn/+/XYBv5D92K5+TjPep30anQauE9\ndQVdF2nXvB+B4Hg/6wvvhnzvdTdBthLsl4UJtvlGDcf+zg2my8RrxvHdtxCvY2DYHGuNgrUySYL/\n0N2Dvq0tLAUSkSYb39O39w3I9wQ4FmIX59rRV6HHIurBcXHioi6jzWguvuaRTXgfFs/C/dmcY5dD\nvukldBScu2gx5PJsdH6IiBRW4HM404auhuoo+iOkgl6VnoCeLbQ3cOv5etjBxD6HOvejEewcJK+g\nj/uBcXpOzG0nV6SIdPS9H/K6n3+CXoEurIqP197yXnQumUqfep5HfJHD+cS1kE+1/rQLx6L+r3s7\nWIIV49jMvGMl5OrN6MT0f/hRyHe9+DvIy45GJ5aICC3n4qVwr1AT0/PYKMrD5Oyj/gnp80AqY370\n6+5Eh1TfqmWQB+5Ff6rr4fUHMT4j11z9TshJaH5+8EcHIGfn4JrhRviegHxpVozXETn4c8cynXTi\n44DKL8bPVvlO3Jf7o/QsoSWpLYfnUK2zn0vTeXgt2Fc27Z0ahRXhxbzw2i7Il1x5OeRa2TxPawL3\nnsN/wP6rRrg3cslxN/+/odMn7eE9D8l1JiJSCXEyzlx5NGSfvJkueYh8dmbSMIlCcy4n5ILLn3Mm\n5MLX0U83Smvr3t/eA/n5NtxbLT0B3YgiIr19+JkxHsSxGPSbffNm0N/4URRFURRFURRFURRFmabo\nFz+KoiiKoiiKoiiKoijTFP3iR1EURVEURVEURVEUZZqiX/woiqIoiqIoiqIoiqJMUxoqd27tQlno\nKHrmJOOhYam3b5ZxjGX0bzte3gLZJrmXd9ZVkGsdKMRrilDidKBiyqvecz7KKndu247HXI0StBWD\neB3Pb9oG+aKzjofclTUlfb97cQPkdatRpLj4KpT4vfbV6yBHNt7aZS0o2HrkgCncnQzxPSxGtO2G\nDpf/B99H2Ve1Mg7ZivH7y9hDSZ2IyOrVqyEvmTsTcsohWWsHjtUkjf1XHkPxspUxJXIsRk0duwTy\nBaefCDk8+a2Qj25BSdyrjz4I+cGnTYHponYUh2ZJnOp6KIwUGyehlUHp58KVOO4633jJaHOSZK02\nZddGkV1joXNjuTWN8apvCgiXZ1E4fJDm85CNYyPXi+L1eafi2AtJElepkphRRKIYBZht81BAOHrg\nYcidRy6CvHAhSuFKr/0B8l0/+aXRZiVCWePQXBSiL1iAAt3x1/dDDkq4luZdnBPpxPx/hpjmVeLj\nMey4nkz0r49Fj8a4iutlie5PU517uMjCcb+zghJ/FlOe+KWvQs7QVM2Q+LqeSjRNMszvfOvfIT97\nAMd7mG2D/K9fQBlsN4mJ66td8Uw63vYxyF0/vxPy/i24diZkTT2S8u7AnJPhKN6PzSWUNy5YPLfO\nmTYGfk7aMfa5G2AvJrF5Jz+6BJ8VLz2Hf8QiSuM6Vk5wrHVeeQGdFN7ncnHCaHPummMhTz2Ea32p\njGM8dQT+IQGvBQW7kw6JWefhNYmIJFYz5DXXXAb5ke/+HLJLfbnxzgfweBE+z2LLXHNY5mzTM8Ji\n+3ODmJxA0W0PCWBHScTamTYF3QvOehfk7Nv/BXKVxp5/Ju4jkwTHomWZAnmG1wSLBLwhPf/76q4i\ncIQ/04KIxf9mYy5cdzNk/0YUi8cBtvHGWz8H+bQuU2L/4BAuyDZdp5f+83311yIMse1cKz5XW5vx\n3Jvy+AcmRETsDtyvLghx7d85ivM5YfP3MtwrpjtxbjuR+ZnDn8A1xSngc9WjpTGhP3Dg0B/zKU3h\nHEk1mXvPOMDXxFncM89etQLy9odx72Ql2LctNu5zqs3m2KmO4Lo0uAP3ArbxR0gaw9Ov9EM+/cyT\nIQflScixY57nK9f/BPK2LfhHQGz6IxSTgmPvzGs+gG0K/gEZu2h+Jo9ivAfteRy7loP9zX/UQiJ8\nRrc04d7Ks8w9h2XhtVsuPu9WX4Z/gOXhXz0K2RlDEXOqG9/f22t+D1At416pNIb3I239ZZ/J9Td+\nFEVRFEVRFEVRFEVRpin6xY+iKIqiKIqiKIqiKMo0Rb/4URRFURRFURRFURRFmaY0VNoyNon1nE2d\nWKNcHkZnxMoS1kGKiDy+Ef06voN1pkM+1uqd9/dYw1wjz0TNx3rMuIDvFxF59I57Ic9Zhv6Anj50\nYex65lHIJ7//nZBfvBn9GnOvvNZoszODt8a3qIb5GKzHT+W7IVfHsV48lcLrXlkwa1+fLWMNY0Tu\nhkq5bLynEUTkFijXsH4zcdBNsmol1uiKiCyagX6SfA6vP2L3DblHwho5PKj4OIlMT4ObxnsYWljb\n2r70KMh9y9GB0OviPVu0CP1W+d7XjTaXd6PLwba53hjPMyYHUFjCfsgfjmP7+L7DjDa3bnkNjxFg\nnXZ4CL9ejqgkOaTrt6iPrcj0CRyVYJ9smsB1KuXh3Jt/Hrqashm8B3fcjH6e+Wei60lEpM1DR09H\nN57Dvm247i1adxq2ObUL8o++8zPI5aiOb4dqmEvkUTl4FHoS2vbiGuNHWOuepZL+TJ3HzWhAddMh\n9r/lHBpvQuzguc5Z1Ad5ZOMbkIf3m+vpWXns43GqK/c9XA+OuAjX9NjBseqTZ8h1zHsYVAchbxxA\nn4FF1+X4uyDvHMP1YGYn3tM4Nmv8XbpHQYjnfc53vgj5F2/7JOSEHG3JADrcOhyz3n6c/Eh58ixE\n7qFxQ4mIRCE56QKc/xY9SvKR+VydOYpz60Efn3kueYRO/gL2qeXiPqYUoyugOmb64XKk/Ui34DGG\n96IPIirReafRszC1H+9j3jbvSSzYN97Jp0J2f34r5MoInndqHK+rL4dekf46Jix2Llm0h7QO0f+H\nVsZovSVnmpPB/u1P9xnH+PAjX4FMWyWxaZ/S+41/hGyRtyUhj82bsR/F/KoE78nD4+iXuqAN3RYW\neVysOm44wy+TcMT3dD6EHpL+M9Ar0hvhHua7D//RaPPMt50N+bAxQZPMAAAgAElEQVQ16IYZGjA/\nrzQK9taMDeNYyrbiZ5aKb86L5d3ovdx2B/qzJMY1NijgvueYC3HfE0a07tlmm+VxdK+4M3ERCn1y\nAJFjJiYn1fjQEOTmpTj2RERStOcL6PnTcjT6FOOnHoOcruHrQ1rPnYr5vErlcP82dgDXsaiOi6wR\nTFZw4pQmcW5mHHquDmwyjjH1EjovbcnQK3BsXvRfN0FOCS1SFn6eq5TQ+SMiUqW9ZIuL70l7OE78\nIh4j8NjpQ2PTMvc5IX/GozVo4TUfhPz4jXdBjhM8x+f/63bIx59ynNGm5+C+crjcT6/Iyl+C/saP\noiiKoiiKoiiKoijKNEW/+FEURVEURVEURVEURZmm6Bc/iqIoiqIoiqIoiqIo05SGOn5yHtYTtlEd\nXbETa0afev/lxjFq5CSJqYZ73Q9vxtfT+22qCRUsYZQDr2412jz6rWdAfvqZFyCfMR+v6443XoG8\nY+ceyJ2nnoK5jjdh6Ah0qzRREXOZnAZ9F10Ieesvfww5tPBWn9CNfiURkef3HIDMp5XEh8abEMZ4\nzzMWXrvXPQfy2iOWGcfozKF3Rqh23fNoIFAJeYp8GmEF65fdDNe1ilhU4xwGeB3Hn70OcuTyOeA9\nK9fwGpasRieQiEjBImcP3TKbLszmNtl/kOmAvHiZ6U/q3vQq5M2TWLftZKmNBhJRLXtgk+OrjLXW\nR0bmkugUsD67aqFrofkwHG+9PVinfuu//zvkXTuxjvpg2axh7q6OQU7KOJbaBM9p7/2/g/yjfRsg\n2w6OnUzGrENvTuN98svoi7Gb1kBumYdjY2ATXpdLc6i72axHHivje9gTEom5NjaCmOb7ydd+HPId\n374B8g9PR4eYiMgdP7gbckQunMKFV0N2IvSViM2+ORybQR3hRiaD3onDUrgAbPTJx5Pg65d04nW7\n9Iyuhua4iVJ0IjTHgvknQ152Cq5brzy8BY9HzpWlKXNtfTzC18yeQY6lIrvNGkdEz2r2wxUcnLv/\ncs6pxjFefPIlyDweJ5pxr9R24irIFXK72bv3Ql6/fdhos/9n90CuFdG98OKBScip9ehBqdp4T56g\nvdTchejFEhFZdiaety94H484E70Hr9zyCGSH/Em9NBQHYnMc2DQPoxifETb7HhpEWyt5mcbQGROR\nt+W4j3zCOMbYZdifWdorhUveDXkWjdWYskXukXo7QGMZohdZ/c9CvuF+9LBceM1Vf/qAdRo1FD/k\nwLQTchX14BrU1oFj+8AQzsnx0/D1IiK33/AxyKe8798g1yYOjQNTRKSjE/cck+N4LgO7sc+bZuBz\nVkSk/DL6WyKffi/AxnnTcsJJkBPyXtq0HiRT5lwcpM9vfT0tdAx8/gS0p3bpdxfcrl7Ixy2eZ7QZ\n1nAexaQRdFtwX9Nz5FLIA3/ciG+IcOwUfHO/ezCD19neg+uc7dHnkwaxpoD7zGde3gz5xJX4OXTD\nj39qHGPProOQUzb2R6kN98cLTsM1PQxwD85LdjiGrjgRETuNY8v1MMc0TqYGaY9Ne4wCfZ526jwD\nXN7X+OQRau+DfNQJKyG/8CT2bfjGi5C/9NYrjDYHyOFz1idwDZo/09wbvRn0N34URVEURVEURVEU\nRVGmKfrFj6IoiqIoiqIoiqIoyjRFv/hRFEVRFEVRFEVRFEWZpjTU8ZOhWsqkik6Djx67GvKuB9Ed\nIiKSkIMjOQJ9OVEvuhb8AL/bStM5RPTd1+HLjjDbFPQanHbiCZAtG+uLfRfrAw87HB001SLWRBbz\nPUabWTqvIpUcJhbWhBYuOA9/fsPP8Ryr6F1J19Gu9MZY97yDhofNHpwGkc1i7XtWsK4xymO9ck+n\n6dvwPPqOk9wV8RS6RuIi+gyExk06wPeXK9h3IiKpDJ63S3WjNt2EiHwF7DfJ2FgXPHtem9GmR3Wo\nbEgJyW0UUS284+A7KjhspHsVzlERkQX33An5YLYCeTIy+6ZRWHR9VFIuaXKFXHjU0cYxXtr4MmSv\npQ/y8ksvhuwW8Povv+Ya/HkK63Z9rqUXc50KQxwruTacm1wXnU5hvbCf4AssHtAiYsXYRmLjfZug\nvhuL0QE09MZTkIMaebRKpq+nlTwA/UXsu9Qh8kMlCV779Z/7KuQll/wD5P7ffts4RuBhrXsxxA68\n/DocNwHd4zR5Kzyam0Ed305Az4XPfuaDkN94ZhfkvlPRX5f4OOGL5JaanGJrnkghIlffQXTF7duO\nbpeRLvTTxNbrdETsh+bEnB/daWxz5xCu392zD6FXjFx4NglJ5pALY+hV030zwvM1xPv61q9fhz/P\n41jLhdg/NUGPwpzIdPycc3gr5MdK6EUY2Ix5dRo9IoGN+7koQDfD8u52o02XdqARSekWXPo2yFt/\n9xjk0MfXZ330KXVFpgOh3IrX2VLA56pjLo0NIVPh+Y6+k/yyYyB/vIq+IxGRXR5eb0g7gEW3fgXy\nn7U20n5B+HkqIomN4zmhvavVezbkm99H7ycTZ4i3UIT8NCIim+79LuSBe/AZ3TGEx2ytoV/D8HDR\nfLMt86PRwPCRkK/6xnsgP/6Z7xnvaRSJzftbjLkMrh+r+tDdIiIyuf5p+hecF9ZsfM/ctTgeHZKC\nRrS3Cl1co0REzvgouvMCQVdRSJ9JJMbr9Om6l7///ZBr/MFJzH22R8cMIszdS5ZDHnwFXUg2eTG9\nSfO5bJNTxmvGeWrVDo2TrmMZ+nd6nkY/bf8ruOaXX9tpHMOz8L5aEc6td938C8i1Mj4X0vxh1MVx\nlJ1xlNHm1z/3KcjtFs73xMH5234U7nN+cxM5vMih5/vmuLEcvC6HnFdVehYd+aEPQX7pMRybjoXz\nq30KnW4iIjtLtN8iR/HYMO7B3yz6Gz+KoiiKoiiKoiiKoijTFP3iR1EURVEURVEURVEUZZqiX/wo\niqIoiqIoiqIoiqJMUxrq+EmnsAZuvIQ14a/d8zvIKRfrUkVEEvIchJsfh7zxknWQowTrB+MUXrLj\noIeF65NFREKqF0xRvazvUBtZ/HmKHDVWhro9i84PEZF8Vwdkr6kZspvH+sAR6he3A+vYfR/dGVbK\nvPUndnZB3rEfaw4trvduEDa1G5LQxKE64KHYdIn0pbCm1rbxNUkNaymdiGo8yVcSkvwmk8b7U++Y\nXpq8LCUsZk/Ib2DTuLPISxTW0LEgImJR3alLY9Ohfog9GgdUYO84OM4C16xFXrsca73/+MhjxmsO\nFbUyXk9A9dgLuzoh79i8wTiG72ANc0L1//v2Yt2z62AfhT7et2oV52KcmH0a+FQnHuFrXMFzqkzx\n+KXaeDpcleVNIhIl2FcpC8dKUkNPSGUUXS6x0NhJoXtrwXx0nYmI9O9Gv0lGcO1MAtMp0QgcH/vP\nnsBa9+Hrvwj5Cb5fImLR/J11DLou9vz2D5D3bsVxtOu1lyCXhnE99qdwHImIJLSmOAHmHN3TP9r/\nBDlO8Dos8pI5runOiWitZJeZ0ForER7DsmkNovXbrLYXWURzct/8mXieATnaGohF3okU9c/aEazL\nv3ME/UQipk/PXYzuQau3F19PLqZKEZ8N6Xacex/+0Q+MNt0cjo1Zq0/FNq96F7bZhPuWJfz6KVxj\nSm24HoiIOGUcw56Ne6VaFdtomo3XPfoGrb0BroOzWHYiIiNZco3kcM1x2JfSIPZux/k9PorjYu3l\nP4Lc/7eXGscIA5y//YUlkBdM7odcPYBtTryM/o2B33wTj3+g32jTH8ex1y449zwP9yQBOa9s8hDZ\n5E+0HPMeslelmxcJ2hNO0D31yC2XCvHnpZS5zs08HJ9/Gz7/W8jZBeguayQTg2OQ/QTHdHs3zqv9\nz6ITSUQkSy41l3xOM/oOgzz86BOQY3LO+TXMYWT64ULeZ5MfJiQfj9D4DmifY8V0DlVzbxXSGhHT\n84ZdRbaPa2kqYKcVfS6K6+xZxvE5PFjCY7bPMP1njaBGXpqj3rIC8h8+/1nIO/aa+8YcOW6Tw9C7\n29SFDluHPhf5NXwGuDRXp7pMH1XfmXjM4p6tkGNy9kQ0bqQJx024Cd1GftXczyU+jqWE9lZxiZw/\nNM7sFH6WEp4fdVyfndS3e554GHKQovN8LwnU/i/ob/woiqIoiqIoiqIoiqJMU/SLH0VRFEVRFEVR\nFEVRlGmKfvGjKIqiKIqiKIqiKIoyTWmo46dUpnrMCawF3uPh91ALHfN7qVSMNW9cTWnFVL9JdaUu\nHdKqYo2z42Gd+/8+Jmavws4CjDa/gUpAE/KwJKaSRkoR1TmTB4RdRA75JGLywYiLtfIx19aKyMy2\nAmRvL9aDx7ZZ99wQ6J5XQ7yntb07IN922/XGIQZXHQd5Vhc5kEIcm00F/Hlv1wzIbgr7M+2ZPiqH\natODBNtwaLwndA/TLuaE65Xr3EMnwppP26e6anqLRc6fgNwSKaMJs82mlhbIaXJ2WIfw6+WYGrfJ\n55CQj6tYq1OfTf3sTaHbZuCGn2GbVCPu0TIbBOTfceq4s8hBYPNpUR152kVvRUCuljDGa7BcXINE\nRHLUF47ga0pFXK9tWtgiGq+t3eg8KFfNseORi8Cn+u8oPDSOnxrf8yY8z5UJ9U2duSjUfwMbH4Q8\n/hJmfhA4FvZvS8zPBLNNm8Z7nKHJF6GnIqRhkPBk5Tbq+KgiWhOoLF1s8oyxmahGzzKPXh/V2aa8\nOkXP7XF0XESh6T9rFNxlcYDn8sf1T0Ou1vv/N3rm2Vu2QH700g9AdqlRHhkJ+/nqeGwicqukyc1S\nJc9YmpwgfM4RtZFYdTxYFu2FyP/CnRk7uHayq4VXi1Qd91aSo+cqOzkcc21sBIP9OE6OWDUP8rtP\nw5kTftm8h2XaMzeXcdxsXHsS5MTG/ozJ6xKTcyXF90dEcvRPAd33ICJ3jEPPJrqMIMWLknmdU/RP\nOfJmBr2HQy6vugjyaddgP1g96K+5575fGW0+8Ic7IM9cPh/yeM1cGxuFTd5B3vYVyQfXFZtraopm\nT0JutuHH7oYc8qaEMz2v6ilCeTixz9NYx+gc+Rlp0QHTdfar6eRPrxkxvYfXKFrmJOJ9UB2vWM9s\n3Aul6TNi7B2afU5Mz56pyb2Q976OnwEjcuuJiAS0Rtvb1kO+/hicWx7tTWMaNw6dk7mCm/c94ucE\nHTOiz0Uu/TyhNSpK6twP+id23vI6xmtnwp8L6PNelQeWiLQ2o3d3wTr0RPb9hWoo/Y0fRVEURVEU\nRVEURVGUaYp+8aMoiqIoiqIoiqIoijJN0S9+FEVRFEVRFEVRFEVRpikNdfwEAdbZ5Qo5yC/0Y93+\neNaseeNada4HdKneMk9Sn0yI/gCXXDhZcr2ImN6DTIpcGOTsoSg21RcGVEvPdasiIrUY35O3sLYy\nIpFCTPX3MXlWuDLTd8w2R8nBVKSuiJ161ZZ/fXLk1wjIf5SlMl5/ot84xiOP3wmZ6zNrdE+iGG9i\nc0sz5JYsOn7qTaX2njbIHpWAj49WITteE+RcMzqX5s5Al05Hu1ngOXfWTMhpF+9zhnI4RuMsj9cV\nBkVsgLOIvLRtF+ShIroKYtv0HzUKK8XuK7zvQ+Stac1jn4uINFfJl0XrmEO1u24GZ1tMdeduHr1K\n+ZzpFQupSN+nNkN2ypDjIBPTekE10H4dsZiTJr8TrSFhiOs1q4naOjshd7fh+HxlF/omREQOFnEO\nWDaeNzt/GoXl4pi95EPvhvzUN38KuafOGs7OA74HZftPO1EcqhH3U1SXbvEaJBKQRyWhcZCkyL9B\nz0fHw3tcivHnxTpzuRSSp4k9Q+Q6ikPsh4iq+K0JHCeWP2q0GafwunpoOE8W6zmXGkNCtfoJudye\nnhiH3JM2vQnsb7JifHi4tE8xXBnsQKCxZNd5XtkOeRKoT9M0nmPyhvEheW9WT/bmkkfEp0ZZv2NF\nOJYC2mx5tGaV6mgJE+pLdk7UU641guYs9s/gHjzP3+/E/r6iztLoUX/U6L5Psl8jJH8idfhQFp+H\nqW7c04iILFh7LOT5b3sn5M75CyBvaUV/4mgJ79mrj78E+YGq+UyOolmQnUncl2zYtBXy2F5so+lz\neLyujj9CPqwNfTYiIiUf19vVFvpQ9mw5dGtOxafJSs8Ba3wCX++Za465stPzxqX1IabJlbB/B8ev\nZZmTMSJ/Tkj7EovWnMDwoNDzy6ZzTOr4utjBSvCyxutWQuscq42KdVwtUYj3Y2oQ70dwiH4Fgz2N\nsYWfc4oxPmfMnapIQn0eUYd4tFeN6Z5b8Z92S7nGDREJjGcLjXfq0BSNzZD2NREfjx9+ImIZLqc/\nAw2DGrXp0Gf8lGvOj920z2kml6yX+ssGjv7Gj6IoiqIoiqIoiqIoyjRFv/hRFEVRFEVRFEVRFEWZ\npugXP4qiKIqiKIqiKIqiKNMU/eJHURRFURRFURRFURRlmtJQuXOzR4JBEvHNOGIe5BqJJkVEghoJ\nhkk+FVPeR4LiWg3P4T/vuB7yJ8+91Ghz78Ag5J39Q5ATkjd3zZkBuZkE0h5J04ISynBFRFwSfxqy\nRpJPsduNyTfn8XjcjyKydXgMMguipY4QthEEJEZLkYS2QiLcjGd+n8li6mwGRX12CQcKy74qPvZN\npYzCUdcxZXkHJ/dBzscob3752W2QqxH2t9OB4/+IBSg5jALzHjoOHqOtFe+765BYzcY2Oju6ICch\n9m1tAueCiMjEwQE8L5KfxyFZrRsJWU+zKbx+n85tC9tERSTj4twLEpIWuiSQpp+nPByvIc3lMCmZ\nbZK0rYlk4kEV2xgew/Foyu9IvOiYcyQqoejatvkYJNZ38LqSg3vw5YMo6a3jPJRUDsefS0uMc6jG\nTrkC8e4bUQ6fOfokyN1H4bwREZk9A0WoN92B/RMLitjjCAWlNVLyh2kcu6U6XXPqIhRsP7l1Cl8Q\n4D279OqFkOcU8aD/esdOyFFsjpssCZ9DB7MV4PiOY1xTUixS9FAhGY4+Y7SZ0HN90sd/KLTW01A2\nhohklImLYzw56gjIr2/YYRyjLYXPiqEq9mGNnolpmosWzffIIWlyHempR/Od5c0OifJDnqu0dLLk\n2qkjd03R3qhCp+WSlDMmcahN51hL49hzO7qNNlvT+Exsb8c/mlCtoHi1UUzVcAwfOQfHwMNXvgdy\n169/Yhzj00tOhvw6yZvvfwPn9+RBlOvviXEN2r4V79nY7v1Gm/7Bg5ArP8S1U2yUIKcSHO+J4D0M\n+R6Hptw9tPDfbBrPIa1JBRonsY3zZ3SK5ss+86PRymb8oyHPDuLaevR5q433NAqbBMSzaa94/JG4\nzj/xBAq0RURSbbMhewXqsyn8nLJjD0rqY1q3sx6Jxm1z/i9ow2fg9n278AVkWo8CfHY4OdwXuWna\nx7P1XkQKzfgelrlHPq3f9Dko3YTzkv/Yj1UzH8xZkqpHGezLqhwaMXhAfxTI9bEz5p+EY3rH0xvM\nY9BnbqdKf8ykgPsY/niWonGTkDY5U+fvZmw7iHvVCkns4wxKqtcu7oG8a/tuyPMXHQ65kDe/e+AV\nwcnRs8alPzRAz0s7S39YqoLr5Iu0noiIHJnF/Rx/zExYsP4m0d/4URRFURRFURRFURRFmaboFz+K\noiiKoiiKoiiKoijTFP3iR1EURVEURVEURVEUZZrSUMfPDbc8CDlKsJ7Y8kcgV6huX0TEqWBN8rbn\n0SPx8HN/gNxPLpaD+7DNiL76qlKNuIiIJNhNmSasH7TI2ZNtbYccVqgekUpA7YJ5G8ZreJ1JDese\nLTrGvnGsGW1pwzpUZxLfYIsp3IjS+J4CaRKCOrWrjcB18EQqJayNLFHdb8JuEhGxqHa1ViE/DnUH\n176mC+SxqGKbUWLW6EZ0jIkytpkhLwM7Fbwm/LlH9cspt05dMIkWpipYh831yyHVz+4bxhr+Vq51\nDc05OVzFsRdTvXmeaqobSRTR9fp4D3ikVMg/IiJSLdMxaL6Lg32SJidQTGOD73O979/jFnRTxFRP\nbEfooajSfXFcqjsnbwI7wkREbPI/2fQeJyE3Efl3+Igu1dfbrukV8ek8eF6xk6pRRDGuv5Oj6Pga\n24HPspufw1psEZHuledBnojQoXD4xWsgX33CEsiFsTcg/92XX4d8463vMNr8/A34nq8tw2fPz9z5\nkKOX10O+9+SzIZ/fswvynQdMr9jatX2Qrzh2DuQ9eVy/g+c2Qv7Xe7HevpbFe96dM5+PXju+5sBB\nfCbEzXXEAA0i7eH5+uQbmCjhGF96+buMY9xz6x2QnYQ8CNRGJOTXSNPzroZrTj5nOukcY65hHxbp\n1vvkpejM4zof+TiHRsT0EfBKaNF6bexSEvIQ8dCwsR/SE83CsCcoV8bzlJrpXGwECZ3G65vQryUz\n10H82ffNtfH7PvqwXLqHkcXeNlx/bfpIELOniUVOIpIIrn0pi71MOHBC8oQl9PyzBOeH7eG+VETE\nIclXZx47z6nhMYdmo+PjoY/jOvjAPfg54ms3G01KNYvnMTCJnyXW//JpfMMHzWP8tVh6EnpFvRz6\n5R7fsBly5Jpr6q5BdBhlKvg5pn0+ttFDKqeBCbxvVVqTmmb1GW36dIwcnbedxfMsFnHf05RGl5FN\ne027jlcsJN9OlvyJUYyuldEJdFglaXI80iIU2ea+3MvgeZTps5TFG/FGEeE9++OGTZCXffA6yEd/\nBH1oIiJOgscYeOoxyBuzHZBXHdaH73fo8wF9fjt498+MNu+/6S7IYYjv6b3oasinf/hcyK/e9wjk\nGo3NxXNxryYi4nl4j0KXpXYYLfKFpmlcvHDb7ZDXHINjX0RkLzmV+r/3XWzyw9ca73kz6G/8KIqi\nKIqiKIqiKIqiTFP0ix9FURRFURRFURRFUZRpin7xoyiKoiiKoiiKoiiKMk1pqOOnSHWNtoP1mXEK\na2grNhU9i8jBDH5X1X7OkZA/dO6l+AbyUiRUf5wSPKff3f5ro81vvOOdkH+xbQgylaVLdzAMebSM\nhazlAOs9/cD0irBGRCK8DrtG76G61TBipw/Vxkem48NL4XkFFayjjmLTC9QIqjXsP65Dz9lUI1qn\nO9mr4tO1JNThjke1wVSDm+O+Cs2+8Wz0rJSoz7tmYm18aQpri2tpvM6Ujb6dShHHoYhIsVLCfyDX\niy3kCcqg68EiB9DwFDpC8s15o81UGmu5fZ9qvX1zHjcKm8wzDt33kMZFYplLYhDh3ErRrXbIt+E4\n2KdhgG1kaGwFhvNHZKqGjbR0YB+nynhfMlkarwn6Hyzy67h1fDsB+XWSAPuuRuM3oTXKS7M3hDqq\nzvrB//PgprAv057pImkENVr7/CLOq9m96GAaj2jeiYgd4riPE1ynemjN+dxnsW79+z9Dp4d07IM4\ndM/jRps7H8Tzbv0YnueMCj5zh+7He75/D65By2lpTZrR3yMicvIsfNb8zMP6+ANf+Q/I7/nO5ZCt\nO1+D7HThdf/3X/yD0WY4iN6F539/P+Rn77zPeE+jCEJcLwIL1+C4Ce/J0Cb0MomIpNvxNWkLx1dx\nBO9TYS46S84+Ae/Tb36HfXzqu9YabfoRriFJgGPpgV+jD+roM1ZAntnbBTmooRdr+x2vGG3uTvCZ\nFvJ0t2id8sjhQfsij15fx4InLjl+bFqvM62mF6gRuBm8tmoJHTJeyxGQy1VzDWcHT2DTHiLEHono\neZfY2Bd2HsfAwnbz+bgzxDVlxih6BYdnouPjuc/1Qe7fg+e0rReP/8lPo9tMROSSZnwenn/+TMgP\nL8H8m9/uhXz5x9HHsz/C49k0LkVERjbjPD3xMnK4PU2Onway6TXcC7bmcX9QGsX1YvbCWcYxsm3Y\n8R09p0F+9GG8PlfwvsZN7I/CPDxkemxG6fOZncK5l5APKs6Ru4yeockk+aMscwVwaOMyNEV7fxvH\ncxKT3GwMXbROG32mjMx5OTSA98eyyadoDreGsHkzPkf3jfdBvuub+Byt53m1Y/y3mFxutjUI+ank\nVci07EmlSv1tm+tx9qhr8Bgp3GsFWwcgf+HTd0OOAny9neA9DcInjTbdFK6NAcl6HRev23LoMzbt\nyRP+CJ4eEybbh8/pS+b+L/bOO8yq6vr765zb597pwAwzdJCqUqQIFsRGxErwZ1DsDaNJRE3RFMUQ\nSzBqjMaCUSyIxoYaEUsERVEibUBEYYChT2XqndvP2e8fPszLd+07w2jkwtysz/PMH+uUvffZZ+21\n9zlz1vd+iGV4dc2l9iBf/AiCIAiCIAiCIAiCIKQp8uJHEARBEARBEARBEAQhTZEXP4IgCIIgCIIg\nCIIgCGmKoZQ6NMItgiAIgiAIgiAIgiAIwkFFvvgRBEEQBEEQBEEQBEFIU+TFjyAIgiAIgiAIgiAI\nQpoiL34EQRAEQRAEQRAEQRDSFHnxIwiCIAiCIAiCIAiCkKbIix9BEARBEARBEARBEIQ0RV78CIIg\nCIIgCIIgCIIgpCn/My9+tm3bRoZh0KeffnpYlPPfYNs2DR8+nF599dXvdN7EiRPp4YcfPkitSg/E\nT9rH9OnT6ZZbbvnBy+3IiO+0j/913xE/+eG45557aMqUKYek7sOBdPIlIqJzzjmH/vKXv/zg5f6v\n+wknnfxG5qqDh/jJD8f/egwSX2ofqYg5HebFz+WXX06nnnrqoW5GuygvL6dp06bRkCFDyOl0ttnu\nJ598koYOHUper5fy8vLo7LPPPmD5c+fOJaUUBJHt27fThRdeSIWFhZSRkUGnnHIKrV27Fs6bNWsW\nzZw5kxobG7//xR3mpJufzJw5kwzDSPq3YsWKNsvnfrIvYCb7u+GGG1rOq6mpoenTp1P37t3J5/PR\n6NGj6aOPPoKyb7/9dnr88cdp69at/31HHCakm+8QES1evJhOOOEEys7Opry8PDrttNNo5cqVByw/\nWYyprq6mK6+8koqKisjn89GgQYO0F8kLFiygM844gwoLC8kwDJo3b55Wdkf3nXT0kzfeeINGjx5N\ngUCACgoK6Be/+AWFw+EDls/9pL6+nmbMmEFDhgwhv99PhWl1OGEAACAASURBVIWFNGXKFPrmm2/g\nvL/85S901FFHUVZWFgUCARo+fDg9++yzcMzSpUvp3HPPpZ49e5JhGPSnP/1Jq//GG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M81aJiKI20wtYvhVsrx9zuu2+vXF/FHMDm1geaiBX1xVqYrnXWRHMVbWDmAtrMiEE\nrg/jdWN5di3mQBMRxTOwHf16dgc7VIt50uEczKsMV6PmQWYG9kvXXMwpJSLaUYGaNHstLLNTtn5O\nKlBMO8DJcvItG/MgVULPsSWmt5Fg2jVuJ+aRKuK5xSz/kqVW8hxSIqKqzdvA7t21K9jV6zF/3nUA\nrSKuz6NnhBJ1cXHdIGyXizVcmUw3hGn88HxlK4nIh+k8fN8fh4I4tjrlY75x1EI/iCW5vuYYbsvw\nYy5/MIKaBP4szC8OhjDuWR7s08IkY7H65b+DXV7DDrC59grGNZvpwbibcX+3TF37oiLBNCYi2HdR\nrmvVhNcd9KBHFhXngG048XgiokRNgh2DvmSYh0Y/KteP4ygWw7aX1OwG+8iArrfhYk2P56JOy1Fj\nh4AdMbC/bXbtMV6eLplAimkg2CwvnRx4jxXTUHAw/apYjGud6XXGvVimk2mXmUxvJ4/FoA+eRE0F\nJ4uDzV59fNQ5Mb8+EsbOyEum1ZUi8gvzwHYxbYuizugH6yt2aWW42Hy9rAw1fxxfYkCo3r4HbD5q\nDPY/vmR6O4rNKAabb7K7FWEZORgHmytQwyBSg220ksgRmCyOcQ2DGIs5C6dfA3bBkYPAPrJ7J7Dd\nTn2QOJkGU6OBdazchGvKK7USDg4+ps9jNWK7CvJxHHktXceqgWlfJPJxHNz94vtgGxauf61X54Bt\n16HmpRHQtWG4Bhcf73Eb50Ni2p5xNs8YJsYPVafrbjYtwZjhWYk6Q3//8wtgv1u6FuyHb7oe7Kw8\ntrZiGixERPXVbP5qwGOMRl3DLlV8thL7w5/TGewtu7eB3SUH9UeIiMjAmNOXPWP85557wS5la4o9\nFvprkEUhy6H7q5vFHMVivzb7s3V2nNVpGlhHxKnXuYet8UJMY85fi/F4x/PoS2Nu+w3YhX2LwU4E\ndb2/IOsrqwE1Fqui+Kw7brRWxEHBy55tM9w413qd7FmW9HiqmAZrhoPN10yXt3Id9m9GM95TH3st\n0US6TpOLPeI5M5nOENvP5XPsBHuGt/jznb7Q8Ssc74kapmG1CucNRzHO84G+GDtN9q4hEtfjh8OH\nz6UWmx8T33N9fPg+sQmCIAiCIAiCIAiCIAj/FfLiRxAEQRAEQRAEQRAEIU2RFz+CIAiCIAiCIAiC\nIAhpSko1frpkY06bi6W01UUwl8+TTFCAaZiYTkzm82dgfmFp6Xaw65kej2J6MYmErg3QfzhqMZR9\nvgLsDJaXGmX58zlMGyda3wh2vBltIqKwhVokO6I7wPZ2xZxGh4l51C4Dc3hjTGdIddc1KbJM7JtQ\nDPtWGZhvmCpsTc8E8xqdbmxXUv0CtsnhYLmTBtM34DpNTAsjFmG5xUlcNcoylO3SMiyTHc81e3x5\nqJESqmW57oZ+nV6mXWR4WC1+rpfBNBYc2GaXG/NazUQSYZGkakOHB1n52IfhKPp4IoH9ZXJNFCJq\nrsF87GYfBq5OmUwPoAH7KBHH/U0xzHlu2vCVVmfpUwuwzgjXvkHNr1NuPh3sj//8GNgW073qFtPv\nWYWJfeFkudvxBoxTTU1o2wpjUOUu3O/WPJ4oHmf6XEwfJh7R87tTQXk9titkYbzw5WH/74zp+dnF\ncdQ8iWUNBfvIOx8H20Nt6xvwkRflQY2I4szmR2hxkMW9hKZthq2IGPr4TxDGQsVayuTVaMEVF4Ht\nYm0wWSM3WnqdZdU7wR5pYhuibJynki6+tv+fFg6hrzzz9GPaMSdMOAfsa/oWgv3N1g1g28xbTKan\nYTOdodwRw7Q6i848E88xMW45mJ4Ak9/RdBNMtlZTCe6dRN889g+ww3tRV4TPw7aFfVu++muwcwqO\nA7soQ1+zZI/Ahm+oqAC7edehmc/qKnB+H34UaoeUbESdp0yvrkdZsxNj7v1XoiaSQV3Aji57G2xn\nJWqNmBH0VSOur48Tdahp4shi63ymaell+nKRerauYWutJNJQ5IhhO1xRvO7qayeDPfEW1GU5beFy\nsEeeegLYWWHUuyQiSjiw3XGFdQ7IQw2sVFK+Zz3YqhL9fpsL9UU8mbpuWtcQrhG2vfc52M1Mp2YH\n09cJMV1BF/uugGu3ERH5uCadwjITfG5gcySfvyymUenj4i6ka+XVMI2fGha+M+Pon5/MfhDscffe\nDna3Ar1vOwXweczNnlmibl1TKhX4mBhOIAPXcB7WNwa750REngRbQ2zBGF7/Deoh5keYVg5bc1cy\nnUFXd1xrERH1OqIv2DlH4NhLsLifyzTz7HJcg4d3YBurv9qo1Vm3B+cJtxvbGW3GmBQpQ02weAzH\nYJdjeoLt8uratL7OeD9strbi+rbtRb74EQRBEARBEARBEARBSFPkxY8gCIIgCIIgCIIgCEKaIi9+\nBEEQBEEQBEEQBEEQ0pSUavxEWT6mYvojMZavVtyrh1bGnu2odWOx/MBwE+YXukNYZoRps8QS2AX+\nQsyBJiJqKtuGZSaYpoGB15FbjPmGBd3ywd65Yg2enyRPL1KJOcZNQcy1LhyAGkC7tpSCnV2I+YNm\nDPMN1+5B/Qkiok5MS6GummkPObO0c1KBg6XpmkwqxGa6TA5XEi0iG09yM89P8FxjlktsJXgjWPmK\nK3IQ9cjE/tqwE32Xn8PkDKjH8SPB3v1vzLkONus6Fm42HrJYhrzFdBYU82WDaUPEwug3dpKE+8xO\n+frGw4QMlnfuDmCuL79eZxINk2Ad0/hhDhhhuhOeDOykzi7M020M41geV7JUq7M+ge3OYxpeA+6e\nBXbBGYPBzl0wH+y9pegrdkiPOV1Z3n+D1QR2fj/UGSkIdQY7wsZUDtOgCAZ1f60NoH/lJrBvqxv0\nOJUKElFsV6IZ+6uB3dNPSNf4ucCLx/h34H3+ZjvmmQ/sgTGda4Txsc31eIiIFDtGkwHiOi0skHEF\nD5PFKMvQ/cbBtBsU0x7LCeM8Yq1YC7aLLUMU0wDZEGvW6lQh9CWHYvoySfSPUkVBfh7Yu2pQI+KP\n9z8A9uQLztbKeHoO6v489ZOrwDaZdoXB7qOdwOs/YuZvwea6S0RECaaP4WSxk9h9djANRoutH7ju\nEJn6crP/9Om4oXYPmCv/jhpATHKCEibTg3rvM7DdUwdqdS7/EHVseh6N83Rx30Pz/1Af06v8ugzj\nb1UZaqzsIj02FtjYQUMvx/ser0JtLEeQlcH8ypGJuhSJ2iTx2M11MjEWKgfOA3HuR05cr/GlliOJ\n9gUpjEMJpm1IbJ0TefJRsJsL/wX28n8vAfvI4agVRUTkjqPGR4bCdq+rRg3HVBIL4XxFDozkYQP3\n+5p1faiG/6BvuBrQ34LMNxJsmHhYHHdaODaNJNJZXjaHKbYeizNNGYvFnCibn7iOkEqiSeNi6ze+\npo06meYMK6NTGOP5qieew/23Xa/VmcOeWbiWpCfy/bRa/lsMNk86WYx2OlGPx5PkJoZ34rNqbB3G\n8Mw4W7ewsdqQjeukHhPGoX3SGK1Ow8B2Gm6ugcna6UN/NwpQNyjz6H5gO0f30ur0rcZ1S81ytJ21\nOF5yTayzthrXMcEy1EbrM3aQVmfIi+fE2LOujz8MtxP54kcQBEEQBEEQBEEQBCFNkRc/giAIgiAI\ngiAIgiAIaYq8+BEEQRAEQRAEQRAEQUhTUqrxY7Pk3YY402ZheXmRJtRAICIK2Jhv2WhhXl3/XgVg\n12zDvNW6KOY0Rlkee7/uxVqdDSsxb9zJxFhiTuzGvJ5YhuHFPDyXn+XXhvSEe6sRNQwKhnQF2zbx\nun0snb62ugZsxdqcn4F5lUREhcWo2VFZwXJ+Ayl1lxZq6zHX3WD6O8R1LeJ6vmw4hv3lYrnEDsVy\nJZmYgIflodtMU6J5J+a1EhF9s+ErsN1cB0hhu3uMH41tYvm1vU86Fuz1iz7S6lQsx9/P8pMbWf6y\ni/mu5oksp9qO6Ro4jVU12rbDhbg/G22mCeFx4PWH4+gnREQqCzU7cvyZYJsK+9jjwTKtBPbZlKG9\ncf/aL7Q6Awr1dqrz+oJ98Y8mgG0z7ZXRN/0c7Iqf3QO2m/Tc4B4x1GYoY7o2VgRjRsiF2i0uE/vJ\n3TMHz1/1jVZnl97YF9EGzHvO74u6QqmitoFpyJg4FlUUr73bCcdoZexYjVpuvR1Y5rJb7gd78Kt3\ng+3h+jtscHItDCL9PzlcH43YfY8wgQODjQ+b620k8RsPoQaHYaO/Pz31ZLCdLKa4WCMXsXgS8eFY\nICLyBPB+ONyoReIJ6muHVJHbBcfB1TPvAnvlb64FWyURTnv8AtT0cTHdJK63Y7E4P/DO34PtMLC/\nHvsD7iciaj7qaLBn/Pg8sJ3sPinmCwafh9maI7pzu1YndcW1kjMP12/DbrwO7DUPPYHnW9xfsc6V\ni7ZpVXpHYlzasRE1O7yBJJoyKWD3Rpx7uh2B/dsjD/UnlVcPAK+8uhBsvlZyLP832KYWMFicYzpt\nRhJdIWcB3rPIZhbns5iOiA/7NxzG9Z2LtSER13VaFLsuTeoiD+f9YB6unwONqEtiv/c82AOYphYR\n0c6n/oht8GC7RgzBOTqVBDKxz2prsE/jDly/Orbp8dHXgPO9i3V7hI0tHpN4iHJxvagkOpg+tq4O\ns+c7vk5n0xM5mdaLzTWD+AlEZLJjvEzXJkHYBidbM29na/++69eBvXVNiVZn7yNRg5HYMtob0/sm\nFeTkoZ6eye6xzfR4rAZ9/V+5EbVL8xT2Z4SJQRk9MI4NORX1tPoeOxzsGkMf/xls3d7E7lmAsN1N\ne3HtZbH4EImglo4nE+MFEVG/k7DdPjeuS7Yv+Q+eEMS+MsLM3o1ryIpv9PkxXIBjyOlD3830iMaP\nIAiCIAiCIAiCIAiCsB/y4kcQBEEQBEEQBEEQBCFNkRc/giAIgiAIgiAIgiAIaUpKRVsCLC8/Wh/E\nxhiYe33kmJFaGTWffgr2VhfmuJVXoi6NbeN+lkJKPYcMALt23ZdanQbLVTfY+7LCAahTQUzjI25h\nG/L79gB7z5dlWp1WAvU26jZizq7qhrnXhQMxVz76VQXYGV0w/9gRxn4iIqpjuZi5BZh/2+zCNqSK\nnHzUTHAYRpu2YSZxa5YOb+mpv2w/5mOa7J672f6SF17TytBympmd8KNmiodpQ2jSDx7Mjfc69PzO\nCHNwr4V11jfimIuz63KxV8GGF/NYbUvPt01EdU2lw4XGyr1gezzo064szHF2JBFOCUZQeyHK9KK8\nTMMrxGQQ4gHcP4KN7fomXVco4MR+n/iH34HtZLdeEV5X7jHngJ2ROQtsY69+z/ITeG87s9zqVdu3\nYBuYlktGJl7HroptYBd5UIeFiKhyE5bpZbnbjhr011ThsVF/Tpk4jsaeORHsj99bppVRaGL/9WAa\nKb4tr4K9atP1YB/TD3PKTRPvscGFAojIxaZ0kwWRGLunPqbLwuNBjO33KT22JhT6s7d8K9j+7agn\nwXUbwh7UzKp0YBtNSx+Te+sxZ9+bieM4XH/oYtK5518DdvlffgP2vRsxl/+KY8dpZfxn63tg20xH\nTDGdiqN+8ys8nt03BxuroSRxPD8fNf64QJTN51lWRozV4XGjv26dO0+rk/r2B3PA1PNxfwDnRF9u\nLtih2mqwFWuT2aDHD5e3Ex6TQP/bvVXXsUkFQ/vjOnLDrt1gd3Ljtd1/GWpFEREpF/YXffw2mGY0\nhMezNYbhYveY6XE5XLr+kWVhrKQg1mFmYNxPMG1DV2fU0zBYzFLVun6ixcrs/LfX8QAWMvhSivdD\n7QO3gH3JtAe0Oh964VGwY3Es4+tN5do5qYL3qc3um59pOeZX6+Mih2l2KQfTE2E6QfVsjrQ1zR+0\nuRYiEZHBH0HZGtnJdIK4b3BdMb58s3SRO3KyZbmTtdPDnCfB4l6czaEmGzPbX9GfBUp3bwbb1Qk1\nZrICWWCfcMoZWhkHg2gctW3YYw1lED6j1G7RfdyuxXGQcOG1KKaJ2ek41CrNHYvP+U2sP91MX5GI\nKB7GdkfYXBPajc+329ZXgh3sjjGnW/fuYLscepxzMU2vjOHDwO5Uj88aNZ/g2tbFxqijCjV+GnDZ\nREREyo9zssmeAW3r+327I1/8CIIgCIIgCIIgCIIgpCny4kcQBEEQBEEQBEEQBCFNkRc/giAIgiAI\ngiAIgiAIaUpKNX6CTagRk8fy6Dy5mKe3YunnWhlGHPMxvT7UwrB8WIbPYDmjFuYLBsKYn9gUadDr\nVJj7anbCHPGMPMyrNmyWI6pQb8CRifmdmT49h7EpiPmE4Upsl8fPtBi69wTbJsyLzu2Mees+pecw\nhqPsPWAW9m0W04tJFYppByimA2IZaKuEru9gOngfs2sxWf6lhWVGEqhfsn3xJ2BXNWJ+JxGRW9MV\nwg0DJp4ANs9XVlyriDW5y6B+Wp3b132DG1hedS4rc68L7eYI6nUYYabf4dF9NYNpFVG9PoYOFW4n\n06mw0TeCjdjWTCdqZxERqSj2gS+D9UEc/TOqcNzcNOlEsGteR90FvwfjARGR6+gxYA88CW1lc10r\ntJUbNb9O/+VPwV74h8e1OrMt1EkZmI06CrsbMIYEWbsdBvaTuxE1AKqC+rh0M422+hhqt2QwDaZU\nEWB6W0cMOxLsT99YBLab6TYREVWY6Ad7XEyXjWkofHM33pMhz/wJbK5FoEjX+FJMZ8FkfuFk5ySY\nnoHFNRZY+ZpuGRG52Zw67+pLwPaw+My1Y96uqAI76MO+zwvodcZr2dqB6erFokx3JIW4338K7FgU\n546f9S0E+/2X0ZeItFBPNpt7bRf6VtyL/WHEuSYQwrVdiIiyslGbgWsbOrgeFCvEYL70zV8fAduK\n65pUaiNqKsYSZ4JtMg88YvoVYH917/1YB9ffsPX/bUY34Fjd4UW9iFBQb2cqKK9A/Yz+R+CarrkW\nNSF6XnS1Voa98SuwDYtdSxjjK7lw7FosPphM307ls7meiMxO3cD2/uQysKNPozaO/6eoZRbPGQy2\nm8WweKmugdn455+BbbCppfrGn4DtMVDTJvNRnIM9rG9P7Y7ji4hodrQe25mBc1MSKbKUUcs0z9w+\nbJu9Gefugpg+LpxsbWSwNbMVwTr8bvSVOI8yrD+SPT1EExinuaYPF7rUNKnYhmb2rOVKEuccbB1u\nm+wgVqeTXZeHNdHLvp/IrKrR6tyz92uwKxrOcTgMAAAgAElEQVSwTJfN19W3a2UcDBysvz1ebIeb\nLWuagyx+kD6/O5kOYN5Rg8AuHIprqShbBykLY47dpNdZuhs1e/xuXKu6t+N+cys+Fxl7UXewrBrr\n7DUatX+JiKJsLsnJRU22vOEjwA6XYhsiVejrVhhjszukr49dDlwzKtbXiaSj6sDIFz+CIAiCIAiC\nIAiCIAhpirz4EQRBEARBEARBEARBSFPkxY8gCIIgCIIgCIIgCEKaIi9+BEEQBEEQBEEQBEEQ0pSU\nijtn5nYF22egoNLeJhRaLeiEgk1ERMF6FIIKhlC0zcFEDd1OFGkbOKQv2HuWf4HHK12hzWKihgXd\nC8BuSqBIk5P1aoAJ6jYy0c9AL+wXIqKmDdvBdjCBMaMBrzNUuwXs3DwUhep/5ECwK3cyEWAiai5D\nwauQje2eessM7ZxU8NycZ8E2mDioiwleccE3IiKLCQbaTDCaFUmKCby5XExMtLIC7AxD9xveisJh\nR2EZmuA0iuW9/vaHYP/ojJPAdvdCUUUiIvpqI9qsb9whFEpzMjF0l4+JfjPxPUoinE1Wkm2HCcri\n9xH7gwuWNgYxnhARmWxAh5kom51AgbXsIhRW7rxqFdh7TRReDMV0ofWrHkGBWKeBvqGYcqLufbgl\n64xpuPveB7QzshoywS420Tf8TGC2NoLC+A1M/NHtxL71uHRh0Lo6FMz0BzDmRw6RULjdjNe6+N2l\nYPuZ6LRh5mhl+BpRMHRpCO2pAezfxNpXwV658edgj+qPosce0oXWuQA0n+CZq5LB4qKbxTGT2SrJ\n/4rsunVYZgXGRofC62xy4D2u9OBcFguh2G4d6eMjnsBjXExxM0662HaqiLJ46IhjDP3zVowxRyYJ\nn052X/iPDwy8BX3DwSYwLuqdSGAf20nuY1Z2LtgG8R8bQNu0ecPRuQrGoNjljoXva3UWHjcO7BAX\n7SzGWMqlLB1MnNi2sa/5dRMReeLoG3V1uA51Z+ui6anAkYE/GhKuwHjxwnOPgc3HLhGRua0ENySY\nMOrQY8BUdRhfHetX4PHTUWDe0EMOERN8N9gPphAThFU5KPbquOkasGMmChE77/unVqWTCcKSG+t0\nMMHpRB2uixJsnZ8I4zXkJ+nbwUNwnZ7RBX/cwIyn9HEK4B7rYH6fXY5j1Wvo4tUJC2Oqze5rZz/G\nbSd77omwdVKUzUVxQxdNd7N1itvkAvLYhjgTnDecbPzzKrhYNBGZrM44j53MNzJYEYbJBKQJ5zeK\nM/8nogBbZzb52DNM9ND8cA4X3HewH0lQYYyNsUb8gSYiIpOJOfuY0LK/fw+w87sXgR0J4w/jKBY/\nwrvwh4qIiGIGPt9mdMK5y12IgvFHD8S159bV1WDvZtfQ2KD/WI/Dj3VGPVhm9kCMa10Hrgd70x4U\n+DbYs4grov8gRaIZ+9/Xmf2QlFPEnQVBEARBEARBEARBEIT9kBc/giAIgiAIgiAIgiAIaYq8+BEE\nQRAEQRAEQRAEQUhTUpqUGq6vATvG8tNsN+omuLz5WhlNTZvA7j4A8wcNlm+Z4c8Cu2bLVrDdTLPE\n0lPCqWBQH6zDxhzxki9QL+fIY1HLpfYbbPM2hbmCxw3BnEciIk/GLmxXE+ZiWkHMg8zJx36IuTFP\neu3i1WCHB6BOERHRMXiZtKcetRV2vImaMzT2Wq2Mg0ET0w5xsDxgbuvqOrrmAU/9jbFTHEyXqWcM\nHaOW6Z3YSXSF4ixXOLt/b2wDyzV+/dWFYIeZIMdnmzeDfXzvXlqdWZmYX9vYgDm5hgOzwb0utBNM\nM0G5tOxxrU6us0C1ddoxhwoPa388huM9Gmd6HFygi4gU14lgh2TkYH7x9cfjQKpdvATsbBdqA2Sd\ncblWpxlIJqaw334tdR3jg8EamXCittnZN6CuAhHRm/egxowrhDnH/TIxllY347gMdMF+iIWwTfGo\nLmbidOPYtdh1+DJxTkgV0QD6TXYE7c4OputmsDx/IvL2R52J7D4Y55tWrQU7wPTpSu/9G9hjnr4L\nbMPQ87u5ZoLF4pJiKikm047i05+PnR9NUueC888HO1OhfoTDg/fw9SjTQGBlehT6XaxZ9xt/J9R+\ncTtxrmLKJimlgeXlz9+BmkcXd8F1zdrSnVoZCaYx4mB6WS6/rn+4Pzw8GA48P6H0hU5GJmoWKH4M\n8xUymc1cIzBiDB6+6AOtTt/IkWC7slErS1ls3cPq8GRiLI1EmEZbErmeUCUeUxfF+2Wg7FjKCORj\n/+ezvtixGXUce3h0XTHDg/NG4kcXge3k0lHcUY5ADaCmp/4CtjtL19vyTP0F2LHZt2KdTqZPx+5J\nvQfnFW8cbwDXiiMiUq7OaEfKwc6Zhe02E3ihdskGLDCKaxbLQq0pIqJKF8ax4JoysPO747o+leRk\noz6fVYvrPjuM923iq49rZWR3wutjMpdkR3Asxpj+jsnCRYxpmxlJ9HZiLGhocYudY7G1GNfijLG1\nvyfJtw2JGI73KPNHjwP7ymRl2ExfKseJbVxy1Q1ancF6tu5kbQjywJYiOndGXTEX0/yJVuNYjDSj\nDhQRkd/EsejJwfktpxtqY8XqUUu2IcKeUbx4QyJJYnigAfuzqQ5nfF93jIOW0QXsaDHeMz/TEQxv\n159h3AU4xhxMs6ouh2ncdcVnbNvN9FfDzJdD6BNERC6Fvuc28bq+r5ahfPEjCIIgCIIgCIIgCIKQ\npsiLH0EQBEEQBEEQBEEQhDRFXvwIgiAIgiAIgiAIgiCkKSnV+OnbC3MBN23HPNpYGHP/6xpQE4hI\nz0P1uFFboT6M+ZdZNiYIhnfuBtu2WY5pAPP4iIhcnTAHWdVhuxwsD89gmaqJMOYfmn6sI0563nRu\nUSHY0U2o+ZNIYG7fnhLUEfDlYT80sBzT3n2O1ur07EQdICuGuZfbq1AfKVXEIpgr7GK6LQbXZVF6\nvizXODANlvPN9Hi65uE9ryhFfR3MxidK9g510ORTsQ0sZ3rhgnfBbrbbzvOtWI1aUbXde2rHFI1D\nzYTm95aCbbOcaG8E/aKBNYEfbyTRT7I9mNvOe+LQZC9/SyyG44S7htOFvhNleexERB4f5tW6mY7C\n4IH9wM5Z8znY1RZ6SwWTLPnRL6drdZpMX8NiOigOhXHPZqGc59vHWZ504LxpWp05jy4AO9jINH5Y\nnCrrghoT2/diXnQ8io0wnboOjvLgNpPFc8NM6RTVQtcw3qQ9TAigPg9zxmNhpi1CRI6N1WiXVrAD\nMH9+fAbOC+bat8HeVnk72AMLkmhfcB0WFudMpvHFx6aXje8E08aIfMl03ojI4EOGOd9OC+e/vS7U\ngrKZZp7Dh3VmOJNoQ/kwPkeY75mWPqemig/XfAV21wDq7+3c8jXYDkPXvkiwMGvZrJPZbVZMg85m\nuioubamnCyfk+nBtZTowztlW2/oaxOZQrr2nDN1fHS49JsA5bG3FtY4yCnEcBqtR68Wy9HhuMj0N\nlw99JdTANKhSxHa2No3vbQT77adeAPv6536slRG1l4HNR4H91H1gh7x4jx02xnS/hXHNtNrWniMi\nMvJxXeKoQm0LU2HcyxyFWlD20h0HrMPsdyzY8bfeB9s56Uqw6346GWx3Z9Qhsw3sKXvtf7Q6e/Y/\nDuvM+Bjs8t2oXZJKQgmMsQbzHX8u6g7GArquaIjFCIstWJ1+pgfJ9BITTNNHMVdxJtFPdHLNHrbf\nZDFGOXDsRpkqnYfNf0ay2OrAvnKzZwNlct1B3ijc32iiNoszQ3868GSgJlvnfPQ/p/vQrHMyPOj3\nfi/aETf2lSvJPbQspuEVQN01ZzZea6gcn2WbqhrAjrvweFWINhFRdgLvQS3TAXTVoy+uWonPb9vZ\n9JeThfNEcT6u6YmInCxmOKvw/UX9HtQ/8jE9nih7+HDb6JtGkmdIm+m8Kmbb3/PpSr74EQRBEARB\nEARBEARBSFPkxY8gCIIgCIIgCIIgCEKaIi9+BEEQBEEQBEEQBEEQ0pTUJhYyDR+bJbL7cjqBXXSU\nrmFS+zXq0FSWY35gl754TtnnJWAbRtv5nJ2P0OtUDqYHk2C5rSyf3sk0fmIWy5V1MB0Fpefbuzrl\no13GcteZ9kK8HPMLTRfTi1B4qyvf0bUaGnMw375TFsutPERiLRbTFnCzPH+D5U4mSeslkx2j2D0i\nk+kybcM8VA87XjE9Hm9xgV6ngX3O5TeCLHmYN1uxDue6RCE9+5gUy9F1cL0plkTtirOb6mJ1ujBP\nNZnmisnqPJSaPhxTy9fG1kVimAvs9aDOBRGRaeF4DzJRkyu7YE7zpi2ojZVj4Fg8cfYzYBehrAIR\nEU295Ddgj/r7LLBvzmXaDEwT6IsVb4B9ycuYj/zm/VdpdfY5C/Whyl9YDnYO09rKC2H+97Ygxvc4\nd09D91cH05hIRLGOYJOu75IKCrrngR0IoC5FNIKaMnmZujZcqBuOiyY/85NGtEc0Yv/kJVCn4ZPf\now/0nvMnrU4Xi3OmqUeV/XEyXRYXj3NO9PU3bv6FXmcY76HLi214ZRf2XYRpAJluPN7H5lsryf+n\n4jGc75w+DK61TXh/Ukmf3v3Bbnbi9Xz5FfapI8l8RUzbwmb3hc8F5OLaTlzLKVkliNPJRDnYKUxe\ng+JsLuGaPrZ9AE0gIvKw+SVusbUWF8ZLYN9FGlGDhmvSWUn0/hTTuSosxjkt0VWfA1KBsrD/jihA\nHauiU0eDbakk/elEvb04YX+5rrwFbOPZv4LtjeK6hyym22Ik0U80UaPLGDwU7NimNWA7vlkBtnvy\n2WAHF/8T66zdoNWZcc4ZYEefnIl1/N9PwXbxpSzT/jRc6Kvxzz7V6nSdcAHYNY+9BLY3C/s+lXhY\nHLfYOHJ4UXfGIl37KhLHbaaH6+VgHyUI52aD6dTwsUiJJOtVprfFg2HCZGWw5zeTtVmx4+MJ9F8i\nIsWu3eDrdNaXTGaMFHv+UwbaoTBq/hARBS3cFmT6SA51aDR+En4cGBbTvLQ9+Hzt9unaee4IPje6\nmU5jBlubNu/CZ9mta0vB9nXrC3af3kdodWYy/86K4j3NrMe1U9UG1PgxOzNtuHLUY7Tyde05U+H7\niYwcnCdiNs5F4Wa851xP2OYaetpajUixZ7yIiWU4Pd9Py1C++BEEQRAEQRAEQRAEQUhT5MWPIAiC\nIAiCIAiCIAhCmiIvfgRBEARBEARBEARBENKUlCYW7o1jLrAzgHl00TDm7X+9HvPyiIiO8KP2TSQP\ndRIaNm4H22a6QgZh3mpmcVdsU5ae322wfPpYFLUtbBNz9ZxMB6WoM+YG1u2uBbuyGPcTEXUPYL6w\nOwftWDX2lW1hX1phzHXtNhrzJE/M0K/zzbUrwa5l+7MyMujQwHPZ0XYQ10PQ4W84FbunR/hzwd5b\nuw1sJ9MKiNl4fp+xw7U6EyxX2MkEdmyW+6pleLI2suLIl+S9rcV0FboePQjsspL12AbWdxks57qZ\n5XU7XXruqwo2aNsOF/h95mMzYrGYlK3nzHoCGHMuP/kosPcsQx0x08axVVEwAOxhE1GrgepQt4yI\nKL7yYbD/OB2FgAbO+wPY3dYsBvvcc6aDPfSK34Hd1dCvM3v6DLC/nD8Z7IQLY9BQ1pdbmzG2/j/2\nzjvMiipb+6uqTj4d6QQ0OWOTJQgGQFQU45gGw4yKcRxnHPPomL3Xq4yfYXS8IwYU82B2HBVFEUFB\nkG6SZJrc0DmfWLW/P+ahr+/ah6ZFPdDH9Xse/nj71Nm7atfaa+8qer0dY15civl5EBF5uLdWCGvy\no9GD4xgVD2Kuc6Wj30Y2Ljt0dC/0dSEiuvDGB0A7VeirNuOeJ0CvXrUT+6hnPi3fvg96SyXGABFR\n1zz8jmJ5ymDjbbD5r1jtfN3yj0B7mvT74WKhtMPEserXF/2SeP42LIyj5gaslbcSmLalFfYAHa5G\nH6F4PepkEmJj6GZ+DuTmeTuB/w5bb9zML0OxxcBi99WOsT5NvEmGo9/HgMVzgmbig+dk8vUMD+ex\nRY7u18X9DxX3DWHrkcF8hBrKcM7wkXUl2OJaeZif3W7mudike3QkgxMnoDdO9frNoDevRa8bk3Bv\nS0QUd7Nr+4T55UxEP53gb9HzJzb3bdDOZubHk8AzKR7ajec1+gjUH/8Tv/D1NyAjA0/APtkOLvrx\ne1qfnqk3gw7Xooedm3lD2czXyWD7JNPCfY3asUvr86SpQ0D/u1NH0FvL0LskqTAjmgibepEG3M17\nTN3jx2Szx898Z8LsWUrZfP5jmzEWK41x3GsREXnYnsDhnpNx5lnHvq9YTnKYJxXPo0R6to0xD0fu\nH+dmvjcx5mXYLQP3CpF6fV5GPLh/416zibzIkkF5DXrh1DDfMBe75+6Avm/MMfH6Pey5xo7j83JN\nFNfm7MO6ge4+dBT26U/gRxXGWMrvghuyXDa+ReMGgU7P6AJa5eGexc0NWYnI7cMcEWSRVLdnLWij\nEdcRH/P0ibG9GZl6DNgKrzPKnle8EX1P3RbkN34EQRAEQRAEQRAEQRBSFHnxIwiCIAiCIAiCIAiC\nkKLIix9BEARBEARBEARBEIQUJakeP+Rgdx08WEfXYGC9YZfuaVoTzRVY79c9mA56Y9lK0G4H323F\nfFijGOiUh6eYoNbSxd6PRWN4Dm4f88thtezpXQpAB7djXfqe7bofQcd++J2MzuhFFKovBa0ieE6q\nBmsBN36Lx7tG9tb69LuxTtJg4bFra4X2nWRgMo8HZmdAQR96jzRzfwMiMln9ZHYGevrs3rIFtId5\nKBishrrTBPRpCe8u1/pcsHITaEvzROD+Ba17+jC7HdpZVqX1Wc4seLp1RH+NOKt9N9g5WRHmseBh\nKYIPPhGR68DqTJMDe7fNa5jZ0eFq7mxF1Mg8B4oaG0CvY/XzeQpr/8fccCtoXjNOOegdQET04kdv\ngD5txK9BX30B+p/VznkHdM+TpoB+efr1oDMTlJSrLPQuGjb1aNBfvLIc22C18H28ftBNXub5E09Q\nb8/nNqv5dytWs58k1mxk3lBpeC3nn3466AvP/q3WhsVjL/tkkFc/Mhb0joUzQL9+zd9BpzNfho9v\nvUfr87L/vR/PwcKkYTGPOxd3PLDwnr53DcauFWdJiIhiLKes6oi5tYMf15WYiWuTyTx+sjrj/LET\n9GmyvBVehr4hAb/uRZYs7piHc9NpxvU9zLwwJin9+izmUaCY54Biecxit1GxHyzfjWu3o7hvHlFN\nCL0YuK9dJ7Z3Uix2FPf0Mbi/lO6bYLr4IoexYBP3d2DjwnwjHRaLlGBst7C90tY9bP9lHZz/D/Vl\nYO6bW4Fr8fE27hubNqC3HBGRLzsftL0HfYKM158HXZuF++fsk6aBju/AHEVzX9b6jH02H7R/ym+w\nzwzsw9q1DTTfPcR/g75D7nGjiGMX43X5XOgzYjn4LOHyFOI52Tgf4sy/wzN0hNbnm2++CXrTeryO\nAranTCaRKPP4YXuyQB3Gzien4T0i0j25bJaD6pgvWC3bkBrMRynKfJRipj6vonGciy523nHWZ5zl\nJA/Pk/x4zR9Uz33cQo63YbIcksNycUeWB8NK9whr8mOb/KzCTQdnn+NUoD9nmHvLMb8zK8G+0etm\n/nJNOPcCzE+yzxHoAZYXxfH1GRgTpVtxrhMRde07AH+QhXFTVYnrQuGIw/Cc4/huYSv3wAriMyUR\nkenBu1Zeg+tGfib6OJWxdxEZPtwfO+w5IOxNsLdi619TQw3o+gTreFuQ3/gRBEEQBEEQBEEQBEFI\nUeTFjyAIgiAIgiAIgiAIQooiL34EQRAEQRAEQRAEQRBSlKR6/PhzsdaPolhX62J/s14p3W+j/7DD\nQRe/vwzbsHlNKNZj5vToDtr04hCYCTxMeK17YzPWwhsG1hdzb5w481kIslr5BofXsRMZzODFCaKP\nkD8rA8+pHOsN42GsDw9GcKzrtqD/DBFRzMDxd9Xiebq430uSYKXDms2MzcbPZSYoRGXvOANVWNvq\naJ4+2EazB2s+e+bmgq7YuEHr0duMXjDNNqvH1GKN+xOwjw08p41Ll2p9OqxgufNpJ4LOYHHTUIPj\nwL0i3GwoQ8wHgojIObAy06Rgs3ptXtDt8WOMxyL6xfzlTPTLWT/7n6DdGdiG0X046LEnHQua+3MY\nJtb+EhEFuuN9e/ft/wLd65TbQUe7jgR924uvgM6J4Tg4bj3PKYVeDD0vQr+HxS9eCtrHatsHBjAP\nbiHMJ+VNeu17hPm3GCbmGCuBL0gyuPzkZtBnXfEX0Ll540BvC6M3DhHRLfe8CnrItNNA39Affds6\nj0cfprOuWwP6/f/9ErS15EOtzzUVN4MeVJjFjsDYi7BPS2c9Cdpn4xHxBP9VtCUjB3QgDX1GuIlH\nugvnS4it2THm0eZlxxMRKVb7brvwxEz74PmO+SNloC22bmYzH5vaJn0uZrFc7zh4H9Y8/x7oot+e\nig2wPPflI4+AjiZI2m/ejznm3gfvxgOYR4eybfYxXpfBPjcS+BHw0+A+I8Q96XZswe/bGCu8B5Vg\nP7duN+4r0/JxbxTn63SSWDxnNejTB3UG7QriPFg4H9chIqKjTr4WdBr3OBqCfjmZK9Abq2E+esul\njT8btIrjnoaIyF3B1lgmLQ+ed7wSfSqiN1wIOngr+pRFX0f/OiIi1xL027EsnO/Nf7qSfYP5trBI\nMdwY22VTMRcTEQ27CX1/YvnowxkP6utbsgiHMD9YQdxTVFqVoDuH9WcOj4lzKcK9TVXra4diOYfv\ncxLh5x5/cdRudt9s1qbJ1g6T5ago9/wiLTyJO4LaLI9xH6I69ryRR5g/vL3Z+kdEEeb76rVZrnQS\neGcmgT498XnYz/z2Qh6Mm7IN+LxARBQL417Jrsf5vXPJOtDZ43EeRT2YU5zmHaA7d0aPQCKi5jpc\nYxt3YhuxRjyntK7Mw4vlJHdDI+iK7ejfRUTkz0RfoJx8fAa0t+E5hHbj2PniGIseG/e2kWx9z+Jl\nD2RNdeifxOO9rchv/AiCIAiCIAiCIAiCIKQo8uJHEARBEARBEARBEAQhRZEXP4IgCIIgCIIgCIIg\nCCmKvPgRBEEQBEEQBEEQBEFIUZLq1puXhQa5G9ehiVNaBzRPcrm5MSXRrg1bQcdqmbEUM1By5aAx\nlDcb+9CMgm3d9Mx0oQlTPI72YFaQGXXxYTXQ9C3moOGe5dYNTLknmcMMIdM6oYFYUwWaOxvMNNVu\nRnOxuEc3lM3MwPsT2YPfaYgyo8AkwcdCMUMrx+bmzrpJVvcMjKXy0s34Hc1XGe/JkCmT+AFAfq++\nWp8deuLPnHI0+/pw0bf4ueK2c9hJnBnhnXoKGgATEZkG3jODxapv+GDQdXPRMJYb8rmambmrK4EJ\nncnTyH5Mq5OIi5mj2RYzKHXQ9C0rTzeSC5QsBF3rxhxixPH6L375aTwHZrBpGhhbiazII2HMGcOm\n3gO6ns3V/o1o+vbkBxhbh5+O5s99bL1XxcaGOk8AOWAsmlku/XoX6CyF87Cvm5mmZuj/z1BZi+et\nmLFqOHJwcs60W9FQ1O3tAPpvH30E+v0Zj2tt9OqK41XzBo7XU6dcBnrcQDQLHDUVjZoznl0AujGC\nax8R0dI78Dz6P4Mm4CaLNp+JptRz/9/fQXfwYax6DDSHJyLa07EQtMuFfUQ0k19uEozteSw0Xgzb\n3H6TSPE5xQw4XdbBM3ceNrA3aLcLz4UblK5bWqK1kR1m85P98QFrE85vW6G5s8kWzavv+xPou/78\nV63PS+5EA3PFjD4V+39Cg29buNEyywcOv9FEZLA2LbYhc2KoVz3/MjbAYoktkeR00PeQbpYrGypx\njfP6Dk7sFPbFHLOucSfobRtQz1+sG8pPvvRR0I6B+zw1GE3prf6DQKfzfSHf88UT/FEAFgfR0hWg\nXVaAaWwjzv7wQPTPvwNtuxOYuwcwNu1YFLTJ/qhDjC09ysGTTr8Xjc2Pn3KM1md+HvvDGVnYRvMe\n7StJI8juQRMzIG5gMR2J6M8cHrb/DLP9QB0b4zh7LnKxvOZmk9Hhf2iDiCw+YflawT422d6Sb5kN\n/nmC3ZVh4HXtb/dqsuvKYn9wwmTxXMn/iBEREeuT+8fzc0oWXXr3A+1mVx/x4F43tAqfv4mIatdX\ngM4M4t60fi1+p9vo0aDz+/UE7TiYBxvCumm6n+WMDPbHj6LpGEfKh3mNx1F+946gOx6NBtRERGls\nz9y4Hv9AUnHxWtCeZvYHKCJ4jxvYH33IHTFU69PTEWOpC/tjVOoA40Z+40cQBEEQBEEQBEEQBCFF\nkRc/giAIgiAIgiAIgiAIKYq8+BEEQRAEQRAEQRAEQUhRkurxUx9uAN27J3oabNmBtdcd8jtpbWxd\nuRS0w+ov4y70lSjsj/X2toF1etwfxnDp78LCMeaPw+ueg6yWj9WyuxSvacZaWZXANkWxelgX85xx\nglj75w3gdTv12Ee0Cc8xJ6OX1mfppmWgTRP7aKzDNpOFyeoYTZPXy+JYublXCRFVb8E6U4vXAjNP\nhA5DD8PPWa0w92kweaE76fXL4do60LwemWut/pl5RXC/DiIik3lBaa92PVh/G2A6zudDDP0PsjOz\ntT7DDitYrqnTjjlYWCxWwuxUM3xYw/yH447Q2tjwr49BZzLvmh7HXgDa5cPPDZZzuONRtLGBOEXd\n80BX5hwNeuvqf4He9uK1oE+97ELQv44/BfrDs8ZrfeazeWQwf4hR028CXTIJfUN8zE+qo41zYm04\npPWZWYjXWbujDHQwqHuRJYO4C71B/nDXvaBr1i8GPXxgd60Nf1fMsWeNxLrxHWWfgX69JB30zrNO\nAt3nBFzLFr2zTuvTV/IW6PXVGBeHZ2Mfnz+A1xVkNeQR5ke3NJHHF8udcRvXCa8H54NiccLXv3Ac\nv+8k8qNi58V9dAzNLy15BHIxR2Yw35o9LM+PHjVEa6PiS/T9sVjWiLDcX/zfD4Me/pc/gnZMvO+9\n0nXvm25puBaYzLvNttFrIe6w9Yt7N1TnPsgAACAASURBVDGfEZOvZ0RksLU6ztarNY88hj/gPiEm\n0zb2Ma9aN16x2bZXsfOuqdK9s5KBmcP2bNtxP+yKY4wHemA+ICJSMfxO3GB7zXdm4hdOPBOkxbwP\nnUVz8XhfgnxcXQ3S/TmuTY6Jewg7gnFhsa1TnO/po7rHh9uN8WyzHGGyuPJx76LBmK+X78R9QK4H\nr4mI6HDC55E1MeZHV4MebsnE52VeV8zTJ9QNvQv3rKvR2ggaOP9tNtcMtpdiVm7k4x5g7Pvcm5NI\n95SMs7zuYnutGMvrfH9HbC/q48FFRIr7ebK0FGd+cT52nQVsrQnlYWzt8OiedBTBnMPXNL4mJgvL\nxriPx3GuepgnbqfBXbQ2nD2433dH2XNiJc6lLe9gTul7/gmgY1l4z6Mx3XdXsecSnx+9B9mjq+af\n6uLPlH6Mk7oGzKNERN4G9FTbPPdz0LEt6FnsZv50joU5K9oLvY0O+/V5Wp/ZOTgn3RGMrVhCh9D9\nI7/xIwiCIAiCIAiCIAiCkKLIix9BEARBEARBEARBEIQURV78CIIgCIIgCIIgCIIgpChJ9fjJz0U/\nh8bYbtD9i7DWffU3G7U2Ig3oE2Ew75tgt674BZfFJPOHiWPBp2En8jBgta6sbrRjJhYUcn8Bw+Z1\nqTjsfk+C2lfiviDYp8l0Vg+sPw6t3ILHs3rbzUvWan1G2HnFHax1tzxY25osTOaRwP0ObFak2zGi\n14TWs3vCmqQoG8/8Ht2wD4PfQzw+UdzwH1XXYS2sze7x+MnjQK/9fAno3W7m68S8ZIhI80DgccLP\nqXAYehltWlKMB3B/qpparcs48/Dg0Xzw3DaIHObfYLIa2azeWLPsLJyvN6ICIBsNzGPD//x70C6t\nrJx5X7B7sOSf6LNCRNTkQf+GVSs/BJ3DapSzL7kP9DuxG0BP+ctzoCunHKP1mefj84b5huWeDbrf\nwAdAL1uNXgw5hLXenXlxPREt24ZrgDcd66DjkQT18kng9Aungu6Sibkxf+go0Ga+7vFzxDlngN5t\nBEHbYfQfyf7on6A/+V/0ZTLcOFdzLH199DlYm15y16OgB/8NPX82/PMN0C42XywPekNsC+geXw17\nMCdoNkDM28VkE4Cvwdxbwp1g3YlrXg/4uc19x5LI8d0LQK+twBiect9fQa+493KtjYWLcIz6Rfga\nyMY0gp4dS+5/HPTwG68CfeFtmB+IiAwLY9xi3k2OwfYgCq/LYT53joV5c8Ddd2p9ko2eHqse/H+g\nVQh9Fdhl860Z7fLhNcQa9L1AlHlIuVzsuhP4giSD4pWYDwpzOoCuCeL+oVc2+loQES158++gR514\nKWhz7vv4hX+/hjqK95SvVYlGRkUw76sGbMOM4U2KEvPnYv47zDqH3Am8obivmMGOiTFfoJCDzw2+\nS18G/dxp6HmXV6uvO80O5rmtO7BNd1qC/ViS4J4+bu510x3HeHtphdZGLpsqHrZeB9htiHCfSzY5\nbbZPNxLlZJa3TX4IWwscli88LCe5PTiXm2K6Lyn3d+FeREG2tmTx56Ig6h15eN/jCZ4/YszvzInh\ndVjq4PwOhtvEuPAEcI8SNzGuOg4fpLVhV+A8qFi+DbQ3jPcovHET6JWvYU4acfIk0IEuuh/dHhZb\nDvNdspgNr8U3JRbbc1Tj3HbXs3WHiOa8+SZocwfuXTPjbO0hfF6zc/A6Rp91MuhIgBkTEVGEx7cb\n+8jM0semLchv/AiCIAiCIAiCIAiCIKQo8uJHEARBEARBEARBEAQhRZEXP4IgCIIgCIIgCIIgCClK\nUj1+am2scwyY6B8Qj2A9ZmQP1tAlwmbF/YEA1iyGGhtA81pgYl4tcV5ETnrdaLdhw0E7vKST1aGG\nWWV0txEjQCdyIzBNrDONs7poZWJdqSsNa/0cLyt+j7GTrMUaaCIis6MPdNe+fbEP4+DUvvNbYpl4\nzzv70BekumyX1gQP9LiNoz7glAmgbYXjZRDWkKooux9GIp8mPMb2YhunnzkFtJu54XQ8A2tdF3+N\n/jtet+594cRZnyy4LOY35e2cj5+zWmOHmSi4bN2xx+3HuHGoTjvmoOEwf50MnDe39C8EXTJP975K\nZ/e27+//BHpwfkfQ3ONL8TFlhexHXnKP1ufu86fjd9jUM1msmCoH9Jhp6O2y/VL0g/AneOWvDIwn\ng9XwOwprkI+6+Y+gl593G+gYC76uzMuBiGhDM3op1DJTiYwEdc/JoE9nrHXv3K8P6J2lVaAHDcN5\nREQ0yYtt+JiXAKV1BnnaOReB/mrZV6AXfoff35aRpvXZsRbr7SNfvg169rTVoLmnj83u+edN2N7m\nCt1XiBy8hxHFPFNYrLrZPY46rCCf+5LFdZ8Gk9X0m9xPIpEvSJIw4ugPEIvjWpvF1tFos34f+xbg\nz3Zsx5zand0nD9/HRNHzZ+V994Pud63u8WNm4H0z03B/Rg4fYzxesY1QnK0Vqh79p4iI1j6Cecph\nOcPFfUOYt0ssgGv/tzXVoNNz8XMiIlWN98dm+dqO8XhMDr17Y66rr4qA9nhQNzXr6+xHq+ZhmyPR\nN7DDWej5Q5+jd5zauQK0wWLVCaHvIxFpe0tlM88fD+4PuGcjxfC6+OhHQyHiuC1+DH4rwryKOj2B\nfnSDL0DPq7Qo7hnr1pZrfXbojvFrRlie29OofSdZVDfhGAYszI9RhfctMLSH1sZ332wBPdSNOagD\nm5vNLK/H2dwMs5zMfcmI9P2pyc3aWJsu9rHFcpJinj6WZhpEZLA8lWPgnjDAzrsxiJ2W9cB1vS4D\nx9qb4Dkpnd0PR7EoT+B/mAz4Mx5/Xo4Q8/RLx30mEVHhJLyv9TU4d+xNmKdc7FLV+vWgF23aADpv\n5GCtz8xB/UBbGbhWZWSijoYx/neW4j6meftO0Ju/War3yZ+d2PoXtlE3sv1ZwVF4Ha48PD5UgedA\nRGQw/98we4yPb8Lr6DMWx2VfyG/8CIIgCIIgCIIgCIIgpCjy4kcQBEEQBEEQBEEQBCFFkRc/giAI\ngiAIgiAIgiAIKUpSPX6ie7AOVRVg7e/uFavwc25sQUS8AthifgG1a7BeUPPsYbX/vOrUSeANoNu3\n4DHKwvPk1Zq8pNmw8Acel+7VQuwYxc7LYjWjlgs/9+VgbWa4Dms343rZNLkasC56/Tfod6I8WAub\nNNi1u7zoFRJkdam8tphIv88GO2bTB/NA22z8TX7P9+MVRURksBtv+HD8di9cgk14mW8T8/DpkoU+\nTnvWlmp9WsyPyvGyOnQPtulm10lBPAdVjzFhJahFNut5bTufMLovULLgHhEnjxoFetuSL0FnOnqM\nV/twLk0+/xzQ3IGE+yjVNDFfhADGSo6l+9hEDfRJMNmYKu63wc5bGczTx8K86cT1d/6GC887wuaI\nO8r8HoqOxe9nYD6nahyZTEfPrQXMr6uJ+WsodXC8WnL6HI4/6I5eUEfl1IK+8MSTtTaMBJ4G7ACU\nKg/7GHc66N6FWHf+3h6shSciqnz3E9D5DubGhpJvQcdN5tNioSfKLi/Gbkfu+0JEXrYuNDZj7AZ4\nTuJ5kfmSRW3MObbS5yT3n4oxnyAj0ZqaJFwm9p2VhetVGve+YN4tREQhNr93sJ2an3mXZWueXyw/\nsPY3PP5XrU9HMZ8gD3pZpHVHTyqTeVZFmU+CGcE44L55RNrSTi6WD+LMCyPMcuXcWvTa4h5BMeYh\nRkTkYvGouP8hXxOThK8B82WgI45/oAnXoVCTPp4LF+H+d+uW60DXMf+pN19bjg04x4NUrzyGHxt6\nn7Yf74lTgbnRzMXxjrD10R3G63bCGDcNYd3jyxXFOcMkpY8oAj29vAPo0T70S9wQweu65tZjtD4r\ndmNcrFuLHqSbdujzOFn4mPlNzMYxc7P9qRHQ21CHoVfhiu+2gy5y4/4z227dfytk8j20vkeOsVwY\nY893cZZjuE8Qs0DRvM78mgErkZ95s/CVojEdP6/siWtedTp26rXY3ivBut8UYn5dbrYmqoOzR95T\njjmb36EouxbDpd/DTsMHgfZFcM+x+l30Kqzagv5zgTiOhZd5BNYvXqb1WbP0O9BNbL2L8rhg3/ez\nHB8J4Tl3SGC5ZDA/xAa+NvlwbA47aTzozBHop0Qslwb0pYoogn2E2HxIkI7bhPzGjyAIgiAIgiAI\ngiAIQooiL34EQRAEQRAEQRAEQRBSFHnxIwiCIAiCIAiCIAiCkKIk1eMnUl0NurwM6+yYNQDFDaxv\nIyJS7F2Vx+G1kczLwmA1iax2z2C18SpBraXBhsnmx8SZdxGrzzct9n0bC/Niln4bTKP178QN7jmD\n39dsEdgrvoihFxSazF/DMLD61Y4lKkL8+VHspkVZ/XJjGMc/UbWsoRkvcc8UvHaThx4fXxZ3CUpC\ntfMwIizeGzE2TeYVZbM+TG6IkMD/xGZnwr1huGcC9yGJxnBsFavT5p5aREQm8yIyCH0EEo1NsvDn\nYl369s2bQfeuw6ST5UvT2jCad4F+elI/0CbzKAmw+RwKYR/BTPRu8CQYID+LP0Ph3AtFme+B28Mk\nnkNzPdYw+z3Mj4eIXCxinTjqBjaJwgqvoznM7ruL1b7Hda+GHvnoa7OhDH0T6mP6GpAMrpjYC/Ty\nHZWgKz1okjbjX89qbRT2QF8gL7sn3br2BO2KoJ9OvQuPD2aiV8zU3/1J63NpDD0+Vn2wBbSKsmBj\nXk/d7p4G+t/HHQU64MZzICJa1FAHekwmzjmDmC+QhxlMKPRpufTX54Mui2J7RETRGPqKBW3MQZ4M\n3YsoWTQ1Y2xEHZxrQZZC43E9AdhO63m350lHgl718QLQXZn/hmNyDyA9j1tsbTAj9aCj6zGHGOx4\nxdbUNiV+5snDvS62Mk+J5Q18bWFeRmyNjPBNJekeP9x7yOU9OP5Q5Wy/W7ehArTpwrlXtwfHgoho\n8DD0AaqtxHnSEMY+LrtqImhPM47nk7PQnyO8cJ7Wp/ujV0E7zczTbhvz46lBj486tj5aWbmgfWdN\n1vrM/9WF+AMT1+1H53wMevuDp4D25ncCnV6Fc/blV9BDhIgoqwD7qNmG3/FYB+//0dN9zCcwgDnH\n62BMN4fQh4mIqLkQ83LM1x30khXoBzOQ+cFlsf1qOpub3gTWWXF2TITtVx3m2RNn+3QPc6VxsT1L\nnD//EVHEwj6rO+DY7O6I86yKbcYstoZG2b4mGtK9nrxBHFuH5V9lHxxfsao9W0A7zH8rytYmt1f3\n22usxPHJys8HnXvkUND1HvTyrdm6B3SQ+zqF9H0jN6nN9OP4RqKY093smTzKn4P481wCz9Y9Mbyv\nnYYNBn3USZhLrW45oB0fxpmPeQFqz6hE5JhsfrD3AKY7kQ/y/pHf+BEEQRAEQRAEQRAEQUhR5MWP\nIAiCIAiCIAiCIAhCiiIvfgRBEARBEARBEARBEFKUpHr8nHbxr0G/98zzoM0uWDPq+BLUZ7LySZvV\nRnbIxFq/yiqsJ26KY/1xBvdVsVmtLBHFYqw+UCvGwzZ4PX7UZj4VrG7dVLqPhalY7Tur/zZ5PT0z\nlDHDeA5xF9Ne/Tozs3Hsamqxpr+gM/pxJAtmM0NmHP1OyoOsJr9er7G1FPe+YY2ye8o9fyxWK8y9\nBIwEngkcxf10WN2pm91E3oej+VMlgNWqOixMLM0nCKXJOuGR7vCbQURxNocOpqcPp3wP1qWHPVij\nfFg68w+JYO0wERExjw5XI3oSxNl8bmQeVC5WhxtpRG8G09I9JZqYx4fSYgNvbCyOtb8RXpvNfFXi\nmjcaUVxhm2F+q5nFV9zB3LrbxOXEz0qz7TTM70REy7ZtBW368Dwtt15Tngy6D5gCusdANhjMm0S1\n4b9QDLZWxZnXAPmZr4vWAMpYAjOziX95FPSqt44F3Whjq1Ve9DIaO/Ik0IG0bqCv/Qa9ZIiIqgJY\ny35Efh/QUeLXxWKZGapt2rUDdA3zPiIi8nBPBDavg+m6V1eyqLVxovD9Ap9W4aiec2LMq9BiRmCG\nC9fvEyYfAbpfR/Q4evnZT0B7lL5GurT/B2S+BzxnsBzE1w5uXeQkWLEamT/ckjjmxqZm5iPkYJ7j\nayr3XzQTTMx4BO8Pvy7LfXD8Nhqq8TxiivmbVGFCPfH4IVobJcvRwy4jC33YuubiTdm9C32EfFYG\n6FtvQ3+daaf8Xuuz+389DbrqD5eB7nzeuaAD49A3LDOM5/jvBvT8ePR0/D4R0ZHFb4G2yzGea10Y\nNxuZn6jajutOcxzXrkiTvovZuhLPK8D2nVk5uhdZsogw/5F4NeaUSuZDGAzoHn8x1oYdxLnjGt4F\n9LrtuP4HyrHPjoQ5KiuBl6mX5RgPm898H+5izz3cdbSGMD80BPVnyHhnvE+NubjnaHBwHNKZF4ti\nj808B/kNfT8XYdcRZV4t1kH6HQzF9qoO29cQ80zyci8pIiKF49HAnjUzivqDHpiDHl61W3CPXrEe\n52akAuOMiMjdjOe1oxGfVescvO9+tgcPsLXKG8D9QmbPrlqfR40aDjqtX2/QvgKMK9PN/ee4hyv3\nisKYINLjn9w4/s32gfnuym/8CIIgCIIgCIIgCIIgpCjy4kcQBEEQBEEQBEEQBCFFkRc/giAIgiAI\ngiAIgiAIKYq8+BEEQRAEQRAEQRAEQUhRkmru/Pq7c0D7g2j2GQkxc6MOehtOiJkeRvAglYcmj7G6\nMtDjTz0edKEbTZ0WLF6i9blzExrgeQ0cNu55aDMDXMuHRmqWhxmOJXj9Vl/bCNpgZsxuNzOjC6NJ\nl8GsQbknb9+OuhFdaUU5niczF6wsw8+TBTdiNtmAGRYzQc5BY0siIstiRpRsQBQzPVZx7paN37cU\nxmpFnW6yFdcMpLHN5gY0LS3sVAC6saoWdFMYTedc3ByWiOLMSDydGe66uSk4O0Uey4oZk3oydNNU\ny8XTSJV2zMGiMAPNKsNhHJ8Pa+tA9/LpxnzcZTeTGZL6A2hO6XPjGKf7MSfZLH7zCM2iiYh21qBR\nYi0zJE1Pwz6jYfzcZKmUecOT49VTf3OcmTuGUDfHcCBizDi1hhmr2sysrrFaj4tIBuahgAvHKp7A\n+D4ZGCzuo2x6l8dw7kYTGHSXsj8K0M2NOfrB9Tge03sXgn5k227Q1/dCc81nPvxc6/PdaoylD+64\nCvSVt6Mp6sZ0NFpcMAM/f+umo0Ff3j9f6/Od1WgoO/RR1ENGDgL94tE9QdvM4LN/7yLQcbduCu5m\nf/ihqRnH1gqiYWcyWeraDjpUVQ161rs3g471Zy7oRNStAI0ju7D9gDvKTI7Z3mn8X54EXV53KehK\nHtBEVLJoFeiyinrQAZZELAfP25uFczmvG8bWngS7zeXrd4GO1OBBXj/mGBXFc+Drlem0bvZMpO8n\nFDOpdqK6yWYy6JCNOaSKmTlnBzDmN29cp7Xh8jNz2yZmzmpjfnWF/Hh8vBL0moVorPr7pf+l9RmM\n/QX0gMMngH7+rgdAjwuzP7DSB/NBdT3msN799MDxMfPmWDbGc7aJ899fiLl446e4lz39jDGgq/hf\nxSCi2q2Yr2vLsc+6ygMzWv0piDHzZpv9MRO39sdf9Bj38L81EGD7Fi8zKA7is1ekBzZQE8HnnvUr\n0cSXiMhpwBj3eHHcO+Tgc4+PmzWnYfw2s3zR6NGN2hXb+yiWI7LYfk6xsTXYHtqOMINkj/4HKTzs\nWYpvyLwH6XcwvD7cH7uYebBlMpNkn24KHmcGxIaLmYKz54MO+TjfOw8chscfi+MZqtWfOzd+jH9k\nYsEny0GXEp5n4agBoE8finuSXvns2StTzzkZefhHLPgzeVMI9+xsu0dxZujdHGF/JIb/5SoiitTj\nGrynDp9X/Lk4BwcdpjWREPmNH0EQBEEQBEEQBEEQhBRFXvwIgiAIgiAIgiAIgiCkKPLiRxAEQRAE\nQRAEQRAEIUVJqsePsxNr3XfEWa21jUVxzVHd+4I8WNPp2Fj73rdgOOgpvzoH9LxnXgG9fPsOdg76\nu7B0Vjced3hNPta2WtwvhtXuKW6s4tFvQ5YH670Vq121bWwzvQOOSyXzjzEDWMvp64H1ikREWREc\ny2bmG2QlGJtkYDA/Hl5+HUzHem63o/uC8BpoxWqgLRfWssbZ8Rar642zk3C7dY8PXvtKzG/HceF3\nTFY/G2XeRVEWZ0YO3lMiIqrAGtAw80iJsXPy+rFOlQ+uxcY+HMK4IiIy2HXx8CbdiihphD14PX7m\nt1NbhfNoNavTJSKKmVjznZeJ3hV9B/QFrTLRB8lxY21v35POBJ2+GuuViYg2b0DvC88W9F6ozMHY\niTQyv4FqnMuZzBOovkavmzZZbl1XthG0beM88zDPiXAN5msPm5fBdDwHIqJ4cxPoaBjPO+DXv5MM\neN2/E8Zr7cJ8AEq24rwjIppn4dy6JoetXUH0RImH8B4WeNDb5utKXD/LG3T/EoMwNtNHngZ6uTMb\ntDcT/XSmnMA8fLzoVzPrNoxLIqLf3DgQ9Dv/+AT0CRccg+dos4RgYU5auRr7iKbrZn8O82UxFSad\n7PyD4w1FRNRYi3k8g3CtXfbmfNDNln4fbWLnzzykRo3GeIs04Ty679HJoJtMjK2aCr3PQDbz5ChD\njzkXWyML8jFWxvdCn4Qo83awatArkYioTx7GeDHbt2RmYb6O7sZ87fFyv0WMLa9X99vgY1tXhX0W\n9dB9rJJBfSOuE4f1xfXd9uL4V+3SPSG278L8mZaBcROowM9HH3s46NLyBtC+3Tg2dR7dxybDxPlZ\ntmUD6CMs9MYpGIwejLlZuF5G3Hyt0tfkz79eD7pntzzQsQb09jxqSDfQY5mnx9wSXF+zSPcy3FKP\nnmtH90NPtgYD20wmHi/OXZv5VFl+jB0fm8tERH6DzTX+3ML9H9neMqLweaHJwVjZzfeaRFQbZc85\nWdjm8MM7gw668JwMNt/j7JnSrfRnFu5z6TDvFVvTbL1ibcbY2mNRgnzOvDddXnbdB2mPnJXbEc+D\n/S6Ijz3XGAnO0+SeR+wBgFkdUjPzDVJe7k+F46fy9OecjH7oE1S1eCvoci/OzcDA/qA9Q3DPEo+w\ne27qvns1Nbj/sm12n7kvbBwvPNyMeSwewz4iYT3P1Teix0+U3YCMXN2rty3Ib/wIgiAIgiAIgiAI\ngiCkKPLiRxAEQRAEQRAEQRAEIUWRFz+CIAiCIAiCIAiCIAgpSlI9fsKsPs3jxTraBlZPmFutFxRW\nu9An4frb/gz6s2dmgn7/87+BbmzAGmbF6hMNR6/P5IWNLqYN5unjsDYMVgNqMNMTFdXrpl2sMNJ2\ncGx6jhwEet2q70BnpWMddWMj1g9+t7xU69Nd2B30EQOwTnLHmrXad5KBwcef1ZCGGtHfwLAShDUr\naXZYUa2H+emEFNZ8chxWvxmK6TWhysJOLfaeVbH6ZMVqRnmceHxYg52WgfeYiCjSjOcR5DW6PDY9\nbGAMXv/MapMT1PhyP5SD6enDcZhvUsyN1+cJ4ecegxsUEYVZ3Tj3RTIDOMYxCwcgEsMa5TDzcsnK\nQp8LIqIhp5+K31nwb9DLq7ENy8K81hjCOdAYQf8db0D3pKquqsFj3NiGzfwyeOjYQTw+zLzQ/C70\n/CEiMti885hsLKP6vEoGNrdhY3NzC/s8o6s+noOrcMzDDo7f8DTUYWaBMKwQ5/dDT34JujGm+7TZ\nCv01mjtOAp2VhrFZ5aDnx9pl6B2TXoj3tJz0OvQ3n0WPqqzuvUGHCefYVrbmeuJ44aOY70g0ps9J\nF/NP8uahF4RinhfJZMkCvAdu5jMW414Apv7/b8rB9SfAPP++XbISdFYG7osam9ALI8I8DPxB3fum\ngOUti60dAR+OeXU9xk7MRB8VxTwCMy08RyKirCDmhEgexpfPg58HCjHp1FTi2t/E1vVu6bpXi8nW\np+Jq7NOMHZz/Dx1yGK4Ti5ajN064GU98cAH6eRERjRuMXjfNCsfHbMKc8vVy9MaI7ma+LWGce/nZ\n+lzMH5cN2mNjHMQ34Dk0l6GOe3aCzsthvkN7dF+xOjaHKsswFscNx3FYtxM97aoa8TomHYW+Tu50\n3QOn/hP0Muqahuv27K9137xkEWrG+e4wnxmPi923BBZodpzvP3EMbMIc4vZgjk0jzCl+N35e60Yf\nJSKiYDoe4/jRU8rnwrkY9GIOCYUwx3hZriWVaO3An5kG8ypkbUbZWEajONYm86wxlD64fj/zZAxh\nG1HuI5QkvEGMYe3pl/vYJDhPxa7fZv6oUaa5LxMPRps9DvO1jIioNszGuAD9tYLBTqCzvegbZjAv\nufoIrgHhqO5lGovFmOYerii5b5PBnlsjbL6Fm/Rnzma2Zvbthfucuj36c3xbkN/4EQRBEARBEARB\nEARBSFHkxY8gCIIgCIIgCIIgCEKKIi9+BEEQBEEQBEEQBEEQUhRDKV6JJgiCIAiCIAiCIAiCIKQC\n8hs/giAIgiAIgiAIgiAIKYq8+BEEQRAEQRAEQRAEQUhR5MWPIAiCIAiCIAiCIAhCiiIvfgRBEARB\nEARBEARBEFIUefEjCIIgCIIgCIIgCIKQosiLH0EQBEEQBEEQBEEQhBQlZV/8bNmyhQzDoAULFhwS\n7fwYHMeh4cOH0xtvvPGTt33llVfSDTfc8JO3216RuGkbEjf7R2KJaPLkyfT444//TGeVGkictI1f\nes6ROPnp+J//+R8666yzDkrfhwISS23jl55zEpFKsUNEdNppp9FDDz30k7f7S88xnFSKm/aecw7Z\nFz8XX3wxHXfccQf7NNrEu+++S1OmTKGOHTtSIBCgoqIieuyxx0gplfD45uZmKioqanPwzpw5k5RS\n+0wid999NxmGQZdddpnWz3XXXUfdunUjv99PvXv3prvuuots22455s4776R//OMftHnz5h9wxYcu\nqRY3e5Mc/3f77bfvt/0DiZt4PE633XYbDR8+nNLT0yk3N5cmT55Mixcvhu+mWtwkItViaS9PP/00\nDR06lHw+H3Xo0IFOPfXU/ba/jMMZ0AAAIABJREFUr1hauXIlnXbaaZSVlUWBQICGDBlC33zzTcvn\n9913H919991UX1//4y/yECXV4mRvXkj0b8mSJa22nyhOZsyYQZMmTaKcnJx9rnm/hLUq1eKEiOiz\nzz6jo48+mjIzM6lDhw50/PHH09KlS/fb/oHESVvXpn3F78aNG1uOufbaa2n+/PkH/aHzQEnFWHrn\nnXdo9OjRlJaWRgUFBfTHP/6RQqHQfttPFEs33ngjDRgwgNLS0igzM5PGjRtHH3zwAXzvoYceosGD\nB1NGRgalpaXR8OHD6YUXXoBj2nvOSUR7ip3i4mKaMGECFRQUkNfrpW7dutE111xDtbW1cFxZWRmd\ne+65lJGRQRkZGTR16lQqLy/fb/tz586lb775hq655pqWn7UlLnr06JEwxxQVFbUc095zDCfV4iYc\nDtMll1xCw4cPJ4/HQ3369Glz+we6Hz5Ucs4h++KnPTFv3jwaO3Ysvf3227Rq1Sq66aab6NZbb6Xp\n06cnPP7qq6+m3r17t7n9Rx55hK644goyDEP77LPPPqMXXniBhgwZon1200030ezZs+mZZ56hNWvW\n0IMPPkgPP/wwnFdhYSFNmjSJnnzyyTafj/DT8EPi5t1336WysrKWf3/+85/32/6BxE0kEqGvv/6a\nbrjhBlq0aBHNmzePOnbsSMcddxxt2rSp5TiJm0OLtsbSHXfcQbfffjtdf/31tHLlSlqwYAFdcMEF\n+20/USwtX76cjjzySOrVqxfNnTuXVq9eTQ899BBlZ2e3HDN69GgqLCykWbNm/XQXKxwwbYmTG2+8\nEXJNWVkZnX322dSnTx8aOXJkq+0nipPm5mY69thj97keEsladajRljjZtm0bnXLKKTRs2DBasmQJ\nzZ8/nzIzM2ny5MnU1NTUavsHEidtXZuI/vNgxmO4Z8+eLZ8HAgE677zz6NFHHz2Q4RF+AG2JpTlz\n5tBZZ51FU6dOpeXLl9Nrr71GH3/8sfafmYlIFEtFRUX097//nZYvX06LFy+mY445hk4//XT69ttv\nW47p0aMHTZ8+nZYuXUolJSX0m9/8hi699FJ69913W46RnHNw8Xq9dPHFF9OcOXNow4YN9Oyzz9Kc\nOXPokksuaTnGcRw65ZRTqLS0lD755BOaM2cOrV+/ns4444x9/uf7Xh5++GH67W9/Sz6fr+VnbYmL\nJUuWQG7ZsGED+f1+mjp1assxkmMOHm2JG9u2yePx0BVXXAH3rS0c6H74kMk56hDloosuUpMmTdrn\n5y+//LIaPXq0ysjIUDk5OWrKlClq3bp1LZ+XlpYqIlIvvviiOvbYY5XP51M9e/ZUr776KrSze/du\nddFFF6nc3FyVlpamxo0bp7744gutnS+//PIHnf8f/vAHNWLECO3nzz//vBo6dKhau3Ztm9otLi5W\nRKR27typfbZ7925VWFiovvzySzV+/Hh16aWXwudDhw5V119/PfzszDPPVGeccQb87LnnnlMdO3Zs\n66Ud0qRa3BxoOz8mbjjxeFxlZWWpv/3tb/DzVIqbRKRaLG3cuFGZpqk++uijH9TOvmLpmGOOUVOn\nTt3v9++88041ZsyYH9RneyLV4oRTW1urAoGAmj59eqvttJZz9nd+v4S1KtXi5O2331ZEpOrr61t+\ntmLFCkVEqqSkZJ/t/Jg44SRam+666y7Vu3fv/X73s88+Uy6XC86/vZBqsXTBBReoyZMnwzFvvfWW\nIiK1efPmfbazv1j6PllZWerRRx9t9Zhhw4apP/3pT/Cz9pxzEtHeY+fRRx9VWVlZLfrjjz9WRKTW\nrl3b8rNVq1YpIlKff/75PtuprKxUpmmqhQsX7rfPRHHxfWbMmKFcLpfatWsX/Lw95xhOqsXN92nr\nmqHUj98Pcw5Gzmm3v/ETiUTo9ttvp2XLltEnn3xClmXRySefTNFoFI67+eabadq0aVRSUkLnn38+\nXXDBBVRcXExERKFQiCZOnEgNDQ304YcfUnFxMU2ZMoWOP/54WrNmzY86v9raWgoGg/CzNWvW0E03\n3USvvfYaeb3eNrXzxRdfUGFhIXXu3Bl+7jgOXXDBBXTllVfSUUcdlfC7Rx11FH344YdUWlpKREQl\nJSW0YMECOvnkk+G4MWPG0O7du3/0NbcH2mPcEBGdf/75lJubSyNHjqSHH36YYrFYq+38mLjhhEIh\nikaj2nn9kuImEe0tlt5++21yu91UWVlJRUVF1LlzZzr55JNp1apVrbaTKJYqKytp/vz5NGjQIJoy\nZQrl5eXR4YcfTjNmzNC+P2bMGFq6dCk1NDT8qOtpr7S3OOHMmjWL4vE4XXzxxa22s6+c0xZkrWp/\ncXL44YeT3++nGTNmUCwWo1AoRM8++yz17t2bBgwYsM92fkyccPa1Nu3YsYO6dOlCXbp0oZNOOom+\n+uor7bujR48m27ZTphTj+7S3WAqHw/BbF0REfr+fiIjmz5+/z3baEkvxeJxefPFFamxspKOPPjrh\nMY7j0EcffUTr1q2jiRMnwmepnHMScSjHzvbt2+mNN96Ae7Rw4ULq2bMn9e/fv+VnRUVF1KVLl1bn\n9oIFC8gwDBoxYsQ+j2ktLr7PU089Raeeeip16tQJfp7KOYbT3uLmQPmx++G9HNSc87O9UvqR7O/t\nIqeqqkoRkVqwYIFS6v/eCt5+++1w3NixY9WFF16olFJq5syZqrCwUMViMThm4sSJ6tprr4V2fsjb\nxc8//1y5XC713nvvtfysqalJFRUVqWefffYHtXvttdeq0aNHaz+/++671YQJE5Rt20oplfA3N6LR\nqPr973+viEi5XC5lGIa69957tbbq6uoUEal//etfbb7GQ5VUi5uKigo1ffp0tXDhQlVcXKwee+wx\nlZGR0XIu++LHxA3n0ksvVd27d1cNDQ3w81SKm0SkWixdddVVyu12q969e6t//etf6ptvvlHnnHOO\nys7OVnv27NlnW4liadGiRYqIlN/vVw888IAqLi5Wf//735XX61UzZsyAY5cvX66ISK1atarN59+e\nSLU44RQVFbXpf7L2lXP20tr5/RLWqlSMk0WLFqlu3bopy7KUYRiqf//+atOmTa229WPihJNobfrg\ngw/UK6+8okpKStT8+fPVBRdcoEzTVHPmzNG+n52drZ544on99nOokWqx9Mwzzyi3263effddZdu2\n2rZtmxo3bpwiInX//ffvs63WYun9999XwWBQmaapsrOzE+aMFStWqGAwqCzLUj6fr2V//n3ac85J\nRHuMnbFjxyqfz6eISJ122mmqubm55bPLL79cjR07VvvOyJEj1dVXX73PNh955BGVn5+f8LO2xMVe\nlixZoohon79J3V5zDCfV4ub7/JDf+Pmx++FDIee4fp7XST8/JSUldM8991BJSQlVVla21HJu3bqV\njjzyyJbjxo4dC9878sgjae7cuUT0nzrN3bt3U1ZWFhwTiURa/rfhh7Jo0SI644wz6O677wbT1D/+\n8Y80ePBgmjZt2g9qLxQKaf8TMn/+fHryySdp2bJlZJr7/qWtJ598kj788EN68803qW/fvvTtt9/S\nddddRwUFBXTFFVe0HLe3/bYY6bV32lvc5Obm0k033dSihw0bRunp6TRt2jR64IEHqLCwMGF7PyZu\nvs+f//xneuedd+izzz6jtLQ0+OyXFDeJaG+x5DgOxWIxeuyxx1p+k2LWrFnUpUsXeumll+j6669P\n2F6iWHIch4iITj75ZLrllluI6D+x+d1339Hjjz9Ol19+ecuxEiftK06+z8KFC2n16tX0xBNP7Le9\nRHHSVmStan9xUl5eTpdccgmdeuqpdMkll1A0GqXp06fTlClTaMmSJZSenp6wvR8TJ99nX2vTlClT\n4Lijjz6aduzYQX/961/p+OOPh898Pp/E0vc4WLE0bdo02rJlC5133nkUiUTI5/PRXXfdRV999VWr\ne5XWYmnixIlUUlJCNTU1NHv2bPrNb35Dn376KfyGR//+/amkpIQaGhpozpw59Kc//Yk6depEJ510\nUssxqZxzEnEoxs7rr79OjY2NtGbNGvrLX/5CV111lWaK+0NpLXbaEhd7eeqpp6hnz550wgknJGwr\nVXMM55ccNz9kP3wo5Jx2+eKnubmZTjjhBDrqqKNo5syZVFBQQET/+fU+/mtlreE4Dg0cOJDefvtt\n7bNAIPCDz2vevHl06qmn0q233kq33XYbfPbpp5/S9u3bafbs2fDzCRMm0KRJk+jjjz9O2GZeXp72\na8qfffYZVVRUUPfu3Vt+Zts2zZ8/n55//nnaunUr5eTk0M0330yzZs2iM888k4iIBg8eTNu3b6d7\n770XNtPV1dUtfaUy7TFuEjFu3Dgi+k9C3deLnwONm73tKaXo2muvpVdffZXmzp2b0Dz8lxI3iWiP\nsbT315C//5cnfD4f9e7dm7Zu3brPNhPFUqK29uoXX3wRfiZx0r7i5Pv84x//oAEDBtCECRP222ai\nOGkL4XD4F79Wtcc4eeKJJ0gpBS8FX3vtNcrOzqbXX399n8a8Bxone2nL2sQZO3Ysvfnmm9rPq6ur\nJZb2QTJjyTAMuu++++iee+6hsrIyysnJoc2bN9PNN9/c6h9CaS2WgsFgy1/qGTVqFC1fvpymT59O\nr732Wssx3/9rPsOHD6fNmzfTPffcAw9hqZpzEnGoxk7Xrl2JiGjgwIHUqVMnGjduHN166600YMAA\n6tSpE3366afad/bs2aOVXn2fvLy8lnvLaUtcEBHV19fTq6++SrfffnvCP6JClJo5htMe4+ZA+bH7\n4UMh57RLj581a9ZQRUUF/fd//zdNmDCBBg4cSDU1NQkd3BctWgT6q6++osMOO4yIiEaOHEmbN2+m\njIwM6tOnD/z7ofXnH3zwAU2ZMoXuvvvuhBvpOXPm0PLly6mkpIRKSkro3//+NxH958/CPfXUU/ts\nd8SIEbRx40bwdLn66qtpxYoVLW2VlJTQyJEj6Ve/+hWVlJRQQUEBRaNRisVi2v+WWJaljdPKlSvJ\nsiwaPnz4D7rm9kZ7jJtELFu2jIiIunTpss9jDjRuiP7zMmjatGk0e/ZsmjdvHg0dOjR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6b/rBYEFRx7pN+SgDyvdmiOxTQ5WC0LX7Muwfm1exz7Yp3gumHReHer9BuH3YX0UUES4jP2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uyKcsxV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\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RUWIC9vuWPdio5ZVMS4f08Z/rwrHnzcDrXb8JtVvcDlsHMT0SPguYhj5fKWLrVU3ojs0V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LO/a9MPbtvtXugffvAfIT7awr5LSySCpb1S5OPn2WUY+u7cumUdroEX0XoVx2fGZdhroUOmRM8k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\nc+fOlWXLlklNTU3J+7LZrPU/EB8175W/J4LBA52B5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CiKoiiKoiiKoiiKolQo+uJHURRF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\n7dq10E57D7pHH31U9evXT/n9fpWZmamGDRu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OhHjz1mqIt21G+aXfQLk/EVFmDgpLPV68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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcb7c2b5518>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"unique_labels = set(labels_train)\n",
"\n",
"plt.figure(figsize=(20,20))\n",
"\n",
"i = 1\n",
"\n",
"for label in unique_labels:\n",
" image = images_train[labels_train.index(label)]\n",
" \n",
" plt.subplot(8, 8, i)\n",
" plt.axis('off')\n",
" plt.title(\"Label {0} ({1})\".format(label, labels_train.count(label)))\n",
" \n",
" i += 1\n",
" \n",
" plt.imshow(image)\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This does not only serve a useful lookup tables to figure out what signtype the different labels represent, but also confirms our hypothesis that the differences in frequency of individual labels are correlated with the availability of these signs on the streets. \n",
"\n",
"For example, while parking directions (label 40,41), and speed signs (label 32) are relatively common, signs signalling a specific height of an overhead structure (label 24,26,27) are relatively uncommon as expected. \n",
"\n",
"Now that we have a pretty good understanding of the dataset, we can start creating our classifier model. Due to the quirks of the dataset, we will constrain the model to a single convolutional layer followed by two fully connected layer. For regularization dropout is implemented. \n",
"\n",
"If you aren't familiar with convolutional layers, you can read this introduction (coming soon).\n",
"\n",
"Setting up the network graph can be done like so in Tensorflow:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def weight_variable(shape):\n",
" initial = tf.truncated_normal(shape, stddev=0.1)\n",
" return tf.Variable(initial)\n",
"\n",
"def bias_variable(shape):\n",
" initial = tf.constant(0.1, shape=shape)\n",
" return tf.Variable(initial)\n",
"\n",
"def conv2d(x, W):\n",
" return tf.nn.conv2d(x, W, strides=[1, 1, 1, 1], padding='SAME')\n",
"\n",
"def max_pool_2x2(x):\n",
" return tf.nn.max_pool(x, ksize=[1, 2, 2, 1],\n",
" strides=[1, 2, 2, 1], padding='SAME')\n",
"\n",
"\n",
"x = tf.placeholder(dtype = tf.float32, shape = [None, 28, 28, 3])\n",
"y = tf.placeholder(dtype = tf.int32, shape = [None])\n",
"keep_prob = tf.placeholder(tf.float32)\n",
"\n",
"# Input Layer\n",
"with tf.name_scope('input-layer') as scope:\n",
" input_layer = tf.cast(x, tf.float32)\n",
"\n",
"# conv layer 1 \n",
"with tf.name_scope('conv1_layer') as scope:\n",
" # reshapes dimensions to 28x28x64\n",
" W_conv1 = weight_variable([5, 5, 3, 64])\n",
" b_conv1 = bias_variable([64])\n",
" h_conv1 = tf.nn.relu(conv2d(input_layer, W_conv1) + b_conv1)\n",
"\n",
" with tf.name_scope('pooling') as scope:\n",
" # pooling 14x14x64\n",
" h_pool1 = max_pool_2x2(h_conv1)\n",
" \n",
" with tf.name_scope('dropout') as scope:\n",
" # dropout \n",
" pool1_drop = tf.nn.dropout(h_pool1, keep_prob)\n",
"\n",
" \n",
"with tf.name_scope('fc1_layer') as scope:\n",
" with tf.name_scope('flatten') as scope:\n",
" # transistion to fully connected layers\n",
" pool1_flat = tf.reshape(pool1_drop, [-1, 14*14*64])\n",
"\n",
" # Fully connected 1\n",
" W_fc1 = weight_variable([14*14*64,128])\n",
" b_fc1 = bias_variable([128])\n",
" h_fc1 = tf.nn.relu(tf.matmul(pool1_flat, W_fc1) + b_fc1)\n",
" \n",
" with tf.name_scope('dropout') as scope:\n",
" # dropout\n",
" fc1_drop = tf.nn.dropout(h_fc1, keep_prob)\n",
"\n",
"with tf.name_scope('fc2_layer') as scope:\n",
" # fully connected 2\n",
" W_fc2 = weight_variable([128,64])\n",
" b_fc2 = bias_variable([64])\n",
"\n",
"with tf.name_scope('logits') as scope:\n",
" # final logits\n",
" logits = tf.matmul(fc1_drop, W_fc2) + b_fc2\n",
"\n",
"loss = tf.reduce_mean(\n",
" tf.nn.sparse_softmax_cross_entropy_with_logits(\n",
" labels = y, \n",
" logits = logits))\n",
"\n",
"train_op = tf.train.AdamOptimizer(learning_rate=0.01).minimize(loss)\n",
"\n",
"correct_pred = tf.equal(tf.argmax(logits,1), tf.argmax(y,1))\n",
"accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can now train the network using the training operation. Notice that we don't use batch learning (stochastic gradient descent) due to the small size of the dataset. "
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loss: 11.8697\n",
"Loss: 3.3169\n",
"Loss: 2.24659\n",
"Loss: 1.56414\n",
"Loss: 1.17278\n",
"Loss: 0.905158\n",
"Loss: 0.718073\n",
"Loss: 0.570112\n",
"Loss: 0.476306\n",
"Loss: 0.402242\n",
"Loss: 0.364415\n",
"Loss: 0.306786\n",
"Loss: 0.286537\n",
"Loss: 0.234836\n",
"Loss: 0.230253\n",
"Loss: 0.201736\n",
"Loss: 0.198578\n",
"Loss: 0.187166\n",
"Loss: 0.168579\n",
"Loss: 0.166748\n",
"Loss: 0.154633\n"
]
}
],
"source": [
"tf.set_random_seed(42)\n",
"\n",
"sess = tf.Session()\n",
"\n",
"sess.run(tf.global_variables_initializer())\n",
"for i in range(201):\n",
" _, loss_value = sess.run([train_op, loss], feed_dict={x: images_train, y: labels_train, keep_prob: 0.5})\n",
" if i % 10 == 0:\n",
" print(\"Loss: \", loss_value)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Again, the training error decreases in an inverse exponential manner as expected passing the acid test.\n",
"\n",
"Individual samples can now be evaluated by evaluating the final layer's logits."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(28, 28, 3)\n",
"61\n",
"61\n"
]
},
{
"data": {
"image/png": 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rpmuTaT6WMBUfofm50TFj9l97X6NrPQ4/zJ9ZZv5WDwBqGs390wCQuf1WY9YX4PvOvnmQ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\nKsQiIpapEIuIWKZCLCJi2X8DqTGDLJyWX3kAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcb5fe2eac8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# predict a label of an image\n",
"sample_index = 3000\n",
"\n",
"image = images_train[sample_index]\n",
"label = labels_train[sample_index]\n",
"\n",
"pred = sess.run(logits, feed_dict={x:[image], keep_prob:1})\n",
"pred_label = list(pred[0]).index(max(pred[0]))\n",
"\n",
"plt.axis('off')\n",
"plt.text(30,20, \"Truth: {0}\\nPrediction: {1}\".format(label, pred_label), \n",
" fontsize=12)\n",
"\n",
"plt.imshow(image)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can extend this to look at a random sample to see what kind of predictions it gets right, and which it gets wrong."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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9T6T7Zt9HI3uOJNd36f7Pt9eVj6fjVBAr+FbrB/992KzTpOtm5GDjFiVu+EJ/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3p+c1Kt1TbUh3K8hN+b+o52pdenW1koX/DHhwgAsH2cctbJoVxcWKDWFs19O5T7/ODM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\nAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcb5fdce0f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import random\n",
"\n",
"# Pick 10 random images\n",
"sample_indexes = random.sample(range(len(images_train)), 10)\n",
"sample_images = [images_train[i] for i in sample_indexes]\n",
"sample_labels = [labels_train[i] for i in sample_indexes]\n",
"\n",
"pred = sess.run(logits, feed_dict={x: sample_images, keep_prob:1})\n",
"pred_labels = [list(pred[i]).index(max(pred[i])) for i in range(len(pred))]\n",
"\n",
"# Display the predictions and the ground truth visually.\n",
"fig = plt.figure(figsize=(10, 10))\n",
"for i in range(len(sample_images)):\n",
" truth = sample_labels[i]\n",
" prediction = pred_labels[i]\n",
" plt.subplot(5, 2,1+i)\n",
" plt.axis('off')\n",
" color='green' if truth == prediction else 'red'\n",
" plt.text(30,20, \"Truth: {0}\\nPrediction: {1}\".format(truth, prediction), \n",
" fontsize=12, color=color)\n",
" plt.imshow(sample_images[i])\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"Of course, these samples are not representative of the final accuracy"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accuracy test: 0.950\n",
"Accuracy train: 0.998\n"
]
},
{
"data": {
"image/png": 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Uvv3tXZ97221hZm9LS1j684//uGc3pMmnPx3+2x1BECYtTZ1K1NgYuvBuvz18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\nAHBisgAAAJyYLAAAAKd/ARAel6c1HYYLAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fcb60fab9e8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Run predictions against the full test set.\n",
"pred = sess.run(logits, feed_dict={x: images_test, keep_prob:1})\n",
"pred_labels = [list(pred[i]).index(max(pred[i])) for i in range(len(pred))]\n",
"\n",
"match_count = sum([int(y == y_) for y, y_ in zip(labels_test, pred_labels)])\n",
"accuracy = match_count / len(labels_test)\n",
"\n",
"print(\"Accuracy test: {:.3f}\".format(accuracy))\n",
"\n",
"# Run predictions against the full training set.\n",
"pred = sess.run(logits, feed_dict={x: images_train, keep_prob:1})\n",
"pred_labels = [list(pred[i]).index(max(pred[i])) for i in range(len(pred))]\n",
"\n",
"match_count = sum([int(y == y_) for y, y_ in zip(labels_train, pred_labels)])\n",
"accuracy = match_count / len(labels_train)\n",
"\n",
"print(\"Accuracy train: {:.3f}\".format(accuracy))\n",
"\n",
"\n",
"# find examples of errors:\n",
"errors = []\n",
"index = 0\n",
"for pred,label in zip(pred_labels, labels_test):\n",
" if pred != label:\n",
" errors.append(index)\n",
" index += 1\n",
"\n",
"# Display the predictions and the ground truth visually.\n",
"fig = plt.figure(figsize=(10, 10))\n",
"for i in range(10):\n",
" index = np.random.choice(errors)\n",
" truth = labels_test[index]\n",
" prediction = pred_labels[index]\n",
" plt.subplot(5, 2,1+i)\n",
" plt.axis('off')\n",
" color='green' if truth == prediction else 'red'\n",
" plt.text(30,20, \"Truth: {0}\\nPrediction: {1}\".format(truth, prediction), \n",
" fontsize=12, color=color)\n",
" plt.imshow(images_test[index])\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here it's seen that the model works with a 95% accuracy on the test-set and 99.8% accuracy on the training set. The discrepancy between the testing and training error could be a sign of the network overfitting, and can be combatted with more aggressive regularization, and, perhaps, using fewer features.\n",
"\n",
"One thing to notice from the types of errors plotted is that the network frequently predict label 19 over a range of different labels for example 32, and 45 shown here. Using the distribution plot above, we see that label 19 indeed is very common in the dataset. \n",
"\n",
"As a final touch, we will save the model, so that we can use it later."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Model saved in file: /tmp/model3.ckpt\n"
]
}
],
"source": [
"saver = tf.train.Saver()\n",
"save_path = saver.save(sess, \"/pretrained/model.ckpt\")\n",
"print(\"Model saved in file: %s\" % save_path)"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"## Conclusion\n",
"While this is not the most sophisticated model, nor the dataset particularily friendly, the model actually does reasonably well with a 95% testing accuracy - which while not great isn't completely terrible either. \n",
"\n",
"Moreover, this will probably mark the end of this project; one that I started a long time ago, but never had time to finish. \n",
"\n",
"If you enjoy this informal kind of walkthrough, and you want me to do more of these, please let me know on [Twitter](https://twitter.com/kasperfredn)."
]
}
],
"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": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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