Skip to content

Instantly share code, notes, and snippets.

@jeanpat
Last active October 12, 2017 14:11
Show Gist options
  • Select an option

  • Save jeanpat/fd3309f94deff61f80e1a6b76e7ed3af to your computer and use it in GitHub Desktop.

Select an option

Save jeanpat/fd3309f94deff61f80e1a6b76e7ed3af to your computer and use it in GitHub Desktop.
Exploration of a Keras model trained for 14 epochs (not enough)
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
}
],
"source": [
"import os\n",
"\n",
"import numpy as np\n",
"import scipy as sp\n",
"from scipy import ndimage as nd\n",
"from matplotlib import pyplot as plt\n",
"\n",
"from keras.models import load_model\n",
"from OverlapSegmentationNet import OverlapSegmentationNet"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"% matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Try to make a prediction from a trained model:\n",
"\n",
"How to load a model previously trained?"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.path.exists('models/savedmodel_14epoch')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# https://stackoverflow.com/questions/42666046/loading-a-trained-keras-model-and-continue-training\n",
"model_reloaded = load_model('models/savedmodel_14epoch')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"xdata = np.load('xdata_88x88.npy')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"labels = np.load('ydata_88x88_0123_onehot.npy')\n",
"train_test_boundary_index = round(13434*.8)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(13434, 88, 88, 1)\n"
]
}
],
"source": [
"print (xdata.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's have a look on the data used for prediction"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA1oAAADXCAYAAAADZCAFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1b11b68748>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"N = 1\n",
"plt.figure(figsize=(15,16))\n",
"examples = [8000, 8100, 8200, 8350]\n",
"for i,ex in enumerate(examples):\n",
" plt.subplot(1,4,i+1, xticks=[],yticks=[])\n",
" plt.title(xdata[ex,:,:,0].max())\n",
" plt.imshow(xdata[ex,:,:,0], interpolation='nearest', cmap=plt.cm.gray)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Make a prediction on the dataset used for training"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The input image must be a 4D tensor:\n",
"\n",
"of shape (1,:,:,1) for a greyscaled image for a network trained on grey scaled images:\n",
"\n",
"https://stats.stackexchange.com/questions/269751/keras-run-prediction-on-a-single-object-after-loading-weights"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"41.1 ms ± 145 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
]
}
],
"source": [
"# https://blog.dominodatalab.com/lesser-known-ways-of-using-notebooks/\n",
"% timeit predictions = model_reloaded.predict(xdata[8100:8101,...],batch_size=1, verbose = 0)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"predictions = model_reloaded.predict(xdata[8100:8101,...],batch_size=1, verbose = 0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# What is in a prediction?\n",
"How does a prediction look like when no segmentation on it is performed?"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAeIAAAHICAYAAACS3unzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f19d0a864e0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"N = 0\n",
"plt.figure(figsize=(8,8))\n",
"semantic_labels = ['background','chromosome 1','chromosome 2', 'overlapp']\n",
"for l, tit in enumerate(semantic_labels):\n",
" plt.subplot(2,2,l+1)\n",
" plt.title(tit)#predictions[N,:,:,l].max()\n",
" #\n",
" plt.imshow(predictions[N,:,:,l] , vmin=-0.05,vmax = 1.1, interpolation='nearest', cmap=plt.cm.spectral)\n",
" plt.colorbar()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shape of a greyscaled image: (1, 88, 88, 1)\n",
"Shape of a predictedimage: (1, 88, 88, 4)\n"
]
}
],
"source": [
"print (\"Shape of a greyscaled image:\", xdata[13430:13431,...].shape)\n",
"j = 13404\n",
"new_preds = model_reloaded.predict(xdata[j:j+1,...],batch_size=1, verbose = 0)\n",
"print (\"Shape of a predictedimage:\",new_preds.shape)"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(88, 88, 4)\n"
]
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA5MAAADbCAYAAADwDMUVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsnXecZUWV+L+n+3V43ZMDcWCaqGRYGBhXVgZX1yWorCRX\nQNA1gayLLoqrKMMqZlZkzRhAMQEqsoCr+FsGQUGShJlBGQYa6CHMTE/sNJ3q90eFV/f2fa/f6xzO\ntz/9effWrVtV91bde+vUOXVKjDEoiqIoiqIoiqIoSiVUjXcBFEVRFEVRFEVRlMmHCpOKoiiKoiiK\noihKxagwqSiKoiiKoiiKolSMCpOKoiiKoiiKoihKxagwqSiKoiiKoiiKolSMCpOKoiiKoiiKoihK\nxagwqSiTDBGpEpG3icivRGSdiOwQkU0i8qCIfEpEdhrvMg6GiDSJiBGR5vEui5KNiDS7OmpKha9w\n4cvGpWBK0boZL0RkDxH5kYi8ICK9rmxXjXe5RhoRWeaubUUqfMzeZ/ruVBRloqHCpKJMIkRkEXA/\n8CPgZOA54BfAH4G9gEuBtSJyxrgVcgIiIstdB2z5eJdFUUYLEbnWtfPzxjBPAX4OvA3YDPwMuA77\nnlIqRAdrFEWZbOTGuwCKopSHiMwD7gaagBXAO40xz0THa4B/B64AfioifcaYn49DUZWpzduBBuxA\nhqI0AUuw7eEwY0zv+BZnXFgHHAD0TLG8FEVRBkWFSUWZPHwN23F7ADjBGNMVHzTG9ACfE5FO4Crg\neyJylzFm45iXVJmyGGNUiFRi9nC/z0xTQdK/e/8y1fJSFEUpBzVzVZRJgIjsA3jT1QvSgmSKq4HH\ngVnAhal0ghmciOwrIj8WkZfdvMu/iMglIlL0vSAibxCRW9w53SLyooj8REQOGca1iYhcICKPiEiH\niGx280EPLnHOQSLyAxF53pV9o4jcLiInZMQ1wGVu9zJ3/f5/eQXlbBSRj4jIAyKyTUQ6RWSVM6Gd\nkRE/mNaKyM4i8i0RaXHlfUZEPici9SXyO8bNQ3s2usYHReRyEZmfEf8kEfm1i9ft7s11InJAiTwW\nu/v4srue1e4aq0uck2mGN5y2JSIzROSzIvK0i/+8iHxVROaNtOlmPOdMRHIicrGIPCoi7SKyJRW3\n0jqvFpH3icgfRWSrq4eXReRhEblSRBZmlaNEWY1rv2VdE3CuC/p+qp2fV8H9KevZivK8ywUdF+dZ\nZl5h7qeInOru23Z3734rIseWcd4pInKn2PeGEZHDo3giIm91aW101/OciFwjJeabujT/ICJtLt07\nROS4EvFL1qVrRxeLyL0issW1o6dF5EYROdHFWebum8/nzlQdLiszr8Ui8vXoWdrs7s/bisQf1ntK\nURQFY4z+67/+T/B/4N8AA6wsM/7FLv7DqfBrXfhVwFZgLfBT4P+wZlMG+O8iaX7FHe/BztG8AXjY\nhXUCJ1ZwPU3uvGbs/Kou4LfAjS7MuPLtnXHum1x8A6wEfgz8HuhzYZ/KuOZH3LFH3L7/P6XM8i4C\nVrk01gO/AX4FvODCHgXmps5Z7o59F2jBmqfd6M5td8duKZLffwD90TX+FLgNWOPClqXif9aF92E7\n9z925/m6OSkjjwOBDS7Ocy6P3wA7sHPgfD00pc5bUaQMQ2pbwEzgoajOb3b5b3TXe7M7dl7GuSar\nLGW2vWddHe4A7gB+AvxhmHXu70EHtj3/2P2udeFLs56BEmU1gMkIT9QNsMDl/ZQLv4dkOz+2zHtT\n9rMV5fm/7thLcZ5l5uev48vu9z6X55/dfi9weonz/tv9/smddzdwqItT49qRr4/fY5+/J1zYJuCo\njLQ/ErWrP7h0H3f34CoXvqLY+ywjvcVYTaIBtgO/xj4XfwDafFrAK929e8nF/d9UHb6yjLyWYuet\nGuBpl89vgW4X9gNARuo9pf/6r//6b4xRYVL/9X8y/LtOgAG+V2b84ygIF7ko/Nqoo7QcqIqOvcbF\n7wP2SKX3PgodzFemjp2CFRY2k+pclyhfU1SOp4F9omN1WMHJANekztsFK3AY4EOpY8uizs8bUsd8\nh2n5EO69YIVn33nNR8fywA/dsWuL5GmAa4Da6NgBrmNpgFenzvsnCh3PN2aUZwmwKNo/0cVvA16T\nivthd2wLsFPqmBfgfpAq20FY4cmXvSl13gpKC5OVti3fQX8IWBCFzwLujNI8L+NeDEeY9ALlviNR\n51ihwWAF850z0jw8rgNGUJjMqIMB96qM+zLUZ2sZGQJWmXn66+gDzkgdO98d2wbsUuS8HjIGSlyc\nz7k4dxE9L+7Yhe7YUyTfj0dgBdgeUs8ehWepbGESa/3lB9xuZuDgw0zg78t5vsrIq961PYMVzquj\nYwcDL7tj702dtzy6rrLfU/qv//qv//5/3Aug//qv/4P/Y0ezDfDZMuO/MuogxB1Y39m8n9QItTt+\nuzv+9iismoI25sAi+X3VHf/XMsvXFJXv5IzjR7tjT6fCP+HC7ymSru9A3pEK9x2m5UO49ye4c+8l\nEpCi442uo9YTdxajPJ8jEkai4193xz+ZCvda1PeVWb7/5+JfUeT4ve74x6Owv6MgZM7OOOdfo/pp\nSh3L7OwOsW01YIVgQ4b2DKs99Rra8zKO/8X9H11BfcZt720jVedYId8AN1dYjuYSccZSmBzqs7WM\n4QuTNxU5fle67abO+3aR8+ZhtZHbSQ2iRHFudWm8MQr7LhkDQ9HxB7OutVhdYgfaDPAMGe+AInlk\nPl9l5HVOlFdNxnl+QHBNKnw5Q3hP6b/+67/++3+dM6koUxMZ5PjtxhiTEe4dO+wWhR0O7AqsMsas\nLpKenzf1qvKLCFgtwP+WWQ4ozCe6rkh633O/x0qJeX8VcqL7/bkxpj990BjTju1k5rACRZr/M8Z0\nZoQPuEYR2QU4DCukFLvGgIjkgFe73WuLRPu++10Whfn7eKsxZmvGOT8cLO8SVNK2jsQKZs8bY+5J\nn+Da26PFMjLGvNL9D3UZil8WCR9Knf8FK7ycJCIfE5HFQyzTeDEez5bn+iLhvh0uK3L8F0XCj8dq\nkO8yxqwvEifrneXvQbHyFAsvxj+63x8VeQeMJL7sPzbWSU+aa7FC4b4isnvG8bLfU4qiKDEqTCrK\n5MB7ZN25zPg7ud9+7NygNMU8cm5zv7HDhb3d70EphxCxs40bXJyFVMaLJsMDpDHGl6Mudch3gp4p\nkl4z9prrgQFOaoaIv/4vlrh+L3xkXX8l99oLIM+V2fmcj71H/ViTzSyedr9xB3KR+828j8aYLViT\nx6FQyfX6MhUr+2DHhsP6Eve44jo3xmwH3omdo3oF0Owcmdwo1inRRHdiMh7PlqdUnlBor2mKtQ1f\nfyeVqL8vuDjxM1vyuYjKUy7+eR4L76sl689Yp20vpOLGVPLcKoqiBHRpEEWZHDwEnI11sFAOR7vf\nR7OENWynsFy8FmId8LtB4lbaaaqkHDFZmq/Rwl//XQzemczq3FZyjcO5rrG8J6UYSp2WKvtQ28hg\nlBLWh1TnxpibROR3wJux80RfDZzm/peLyN8ZY54vp3BSwqvyKDNR2lE5FKtDX39/xTr1KcWfRq44\nAxiPeznUPEfrOVMUZYqjwqSiTA5uBa4EDhCRJcaYB4pFFBHBLiwP8D8jkLfv/L5ojDlvBNIbDuuw\n80H3xs4VTNOEtbjoIlsjOxT89d9ojPnaCKVZDK8d2ENE8mVoJ1ux3kjrsNe+JiOO19Ksi8L8dlNW\noiIyB5hdRnmHi9eUlDIJbRqDcqQZcp07re517t8v63MN1vTy84BfoqHb/Q5YYsQx1may4/FsxWln\nmTM3RWWrBF9/j1f4zlqHvf4mrAfeYuUpF/88v6LC84aCv0d7Zx10mvHdUnEVRVGGjZq5KsokwBjz\nFHCT2/3aICZzH8B679sOjITwcz9WaDlCRPYdgfSGg5/n9PYix9/hfu9JaWR9x30oA2i/dr+nD+Hc\nijDGvAQ8BtRS/Brj+L3YJQYoEf8897siCvP38WQRmZVxzlmD5T1CPIh1lLKniAyYbysir8TOIR1r\nRqzOjTFrsWavkLyWDdh2OV+i9ScjTswIG4zhtPOhPlsjQbH25sNXVJje77Dzjl/nBkbKxd+DwcpT\nLr9xv2dXYOY81Dr0Zf9nN5c6zbnYufRPGWNUmFQUZcRQYVJRJg/vx464LwFuTy+6LSI1InIJ8F9Y\nU6d3lXA+UTbOmcOnsKZjN4vI0ek4IlIrIm9ynf/R5BqskHysiHwgVYbXYL2QgtXixvjO0wFDyPNm\nrJnxcSLyTRGZl44gIruIyLuHkHYWl7vfL/oFzVN5HSUi8Ryy/3K/F4nIq1NxP4R1MLIV+E506G6s\n19g5wFdEpCY65wCsZ89RxxjTQcGxy9UiEubiichM7GBI0e+UiPzF/Q9ok8Ok4joXkSNE5EwRyWek\n90b3G5vE9mDrAeByZ1Hg0zoW+M8hlHs47Xyoz9ZIcKqInJrK8z1YxzttWC+rZWOMeRnbduYAt2S9\nl0SkUUTeJiLxPPSvYc09z0k/eyLyQeCoSsqBXZf0EaxG80ciktD2i8hMEfn71DlDrcMbsd+HvYDP\nxmbSInIghffKlypMV1EUpSRq5qookwRjzEbXyfwV1mTuKRH5E7aDOhP4W6xL/Hbg3caYG4omVnne\nX3HeKT8I/ElEHsOagXVjnTkcgfXKeQKj6GzCGPOSiJwD/AwrBL0Lu/blbtjlLqqATxtj0h5if4PV\ngL1FRH7vyt6HXYz7lkHy7BeRU7BLW7wXeJuIPIrtuNUD+2OXsFiP7ZAP9xp/ISKXYTt/t4nI48Aq\nbB2/AtgXW/8tLv5tIvJ54BLg9yJyN9Z89BCshroLONt1sH0ext3Hu7Cay9eKyL3YzvfxWLPqIxkb\nU8uPA8diO+prReRObN0chxWCbwHeREFjE+PNBxtGskBDrPPF2EXiO0TkYRe3Fvts7I0V1D6ZyuqT\n2HZ7PrBMRFa5dI4EPgNcWmHRf+XSvEhEDsa2EYNdn/aPg1zzUJ+tkeBq4CYRuQ/rQOaV2PvWh32X\nvTiEND+CLfsZwEoReQTrjMpghbvDsObhB2CXecEY85CIXIq997eKyB+x79dDsOuvXo21/CgL147e\nAvwWeAvwehG5B9uu98B6yn6QpFnxL7HP5BdF5PXYNgbwRWPMX0vk1SUiZ2C16hcD/yQiD2C/CccD\nNVjvuN8ut/yKoijloJpJRZlEGGOew3a6z8F2GvbCOvc4Fuso5ArsIuw/GYW8P4Tt4P8UmAuchHV9\nvwArfJxFQdMyahhjfoW9B9djvUqehu3s/Ra7gPkArZozHz0Zay53KNbk61+AvykzzxasU6MLgT9j\nO5anYbV+XVhtzVuGcVnp/P4T24G/EXt/TwWOATZj14V7LBX/o1jt1x3Ye3Eato5+CBxpjLk1I4+V\nFO5jHrsmXhNWiD1zpK5lMJzn3tdgvWtuxpp3LsWadS/FDlJAwaPxWJWr0jq/D/gP4PdYr6CnAK/D\nDmJcCRxijHkwlccfgb/HChN7UDBtfXtWOy6jzI9g6+4B7ODSO7HtfP8yz6/42RohvgK8FWuG+Sbs\ngMnvgNcaY346lASNMT3GmDNderdiBUtfJ43AT4B/IjU30hjzWezzdh9WoD0Za5L8eoovJVOqHM9g\n3zMfx85p/jusg6bdXLk+m4p/C3ABdlDuddj6+xfs8kyD5XUfVkD9JtaS5C3Y98a9WAdu5xZZtkdR\nFGXIiL5XFEVRlImIMwt8GisY72yM2TDORVJGEBFpxmpi9zLGNI9vaRRFUZShoJpJRVEUZVwRkSPT\nS2G4+ZPfx5rp3aaCpKIoiqJMPHTOpKIoijLe/ArIichKrEnhrlgTw1nYeX8XjmPZFEVRFEUpggqT\niqIoynhzJXYe2UFYTWQv1hHLrcCVqpVUFEVRlImJzplUFEVRFEVRFEVRKkbnTCqKoiiKoiiKoigV\no8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8Kk\noiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiK\noiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiK\noiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiK\nUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEq\nTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqK\noiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiK\noiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiK\noigVo8KkoiiKoiiKoiiKUjEqTCqKoiiKoiiKoigVM6bCpIgsF5HrSxw/S0R+G+0bEdm3jHSbXNzc\nEMo05HPHm8Hu5wjmU1Y9KOOLiJwnIveM9bmKoiiKoijK9GTcNJNZQpwx5kfGmH8YrzJNZkZKKBaR\nFSLyrpEql6Ioo4+IXCgiD4rIDhG5tkS8g0XkNyKyUURMxvF5IvJLEWkXkWdF5G2jWnBl0lBBGztX\nRB4SkW0i0iIiX4i/S9rGlGKU28Zc3A+KyEuunX1PROqiY58SkcdFpFdElo92uZXJw0h8K0WkTkS+\n695f20XkERE5YdQLP4FRM9cRZKJrNyd6+SYbej+VCcQLwKeB7w0Srwe4AfiXIse/BnQDOwNnAd8Q\nkYNGqpDKpKbcNtYAXAQsAI4B/h64ODqubUwpRlltTETeAHwU27YWA3sDl0dRngI+Atw2OsVUJjEj\n8a3MAc8DxwGzgUuBG0SkacRKOckYVJgUkWYR+bCIPOZGEr8rIjuLyK+dRP47EZnr4i4TkZaM81+X\nkfTv3e8WEWkTkVeVMrUTkZNE5M9uFOr5IqNN7xSRF0TkRRG5ODq3SkQ+KiJrRaRVRG4QkXmDXbs7\n929cvttF5EYR+ZmIfDq+XhG5REReAr7vwt8tIk+JyCYRuUVEdnPhA7SHsSbQX7+IfElENovIM/Fo\nh4jsJSJ3ubLcgf1YD3Y//yAiXxaRVmC5pExj4zKJyBXA3wFfdWl8NUr/dSKyRkS2iMjXRETKuX+T\nkWJ1XqK+T3YjU1tE5I8icqgL/7CI/DyV9tUi8hW3fZ6IPO3yeUZEzorivVtEnnDHVovI37hw3459\n+D+VuI5Xisgdrh3+VUTOiI7Nd21zm4jcD+wzkvdQGVuMMb8wxtwMtA4S76/GmO8Cq9LHRKQROBX4\nhDGmzRhzD3ALcM5olFmZXFTQxr5hjLnbGNNtjFkH/Ah4NWgbU0pTbhsDzgW+a4xZZYzZDHwKOC9K\n5zpjzK+B7aNWWGVSMhLfSmNMuzFmuTGm2RjTb4y5FXgGOHJ0Sj3xKVczeSrwemB/4I3Ar4GPAQtd\nGh8YQt6vcb9zjDEzjDH3DhK/HXg7MAc4CThfRE5JxTke2A/4B+CSSIj9V+AU7CjCbsBm7OhoSUSk\nFvglcC0wD/gJkO687+KOLQbeIyKvBT4LnAHsCjwL/HSwvCKOAf6KFRS/AHw3Etx+DDzkjn0K+0L1\nFLufxwBPY0eBryiVsTHm48DdwIUujQujwycDS4BD3bW9oYJrmjSUUefp+j4CO8L1XmA+8C3gFrEm\nN9cD/ygic1zaOeCtwA9cp+pq4ARjzEzgb4FHXLzTgeXY9j4LeBOFF99arMA/GzsSe72I7JpxHY3A\nHdg2s5PL9+sicqCL8jWgC9tG3+n+lenN/kCvMebJKOxRQLVGynB4DYUOmbYxZSQ4CNtuPI8CO4vI\n/HEqjzKNEZGdse+2AYLndKFcYfK/jTEvu1HGu4E/GWP+bIzpwna8jxi1EjqMMSuMMY+7UYDHsJ38\n41LRLncjBo9jtUb/7MLfB3zcGNNijNmB7aifJoObKS7FqrOvNsb0GGN+AdyfitMPXGaM2WGM6cSa\n7XzPGPOwy+s/gFdJ+ervZ40x1xhj+oDrsJ39nUVkT6ww9wmX1++B/ykjvReMMf9tjOl15RsqnzPG\nbDHGPAfcCRw+jLQmMoPVebq+3wN8yxjzJ2NMnzHmOmAHsNQY8yJWY3y6O/cfgY3GmIeitA4Wkbwx\n5kVjjH8RvQv4gjHmAWN5yhjzLIAx5kZjzAvuOfgZsAY4OuM6TgaajTHfd3X/Z+DnwOkiUo0dIPqk\ne15WYtuaMr2ZAWxLhW0FZo5DWZQpgIi8EzgK+JIL0jamjAQzsO3G47e1HSljiojUYK0vrjPG/GW8\nyzNelCtMvhxtd2bszxixEhVBRI4RkTtFZIOIbMUKiAtS0Z6Ptp/FaiHBapF+6cwQtwBPAH1YbV0p\ndgPWGWPiybfPp+JscEJ1fM6zfscY04bVKu0+SF6el6JzO9zmDJfuZmNMexT3WQYnXd6h8lK03cEY\n1Pk4MVidp+t7MfDvvm259rUHhbZ3HXC22z4b+CFYMwngTGw7flFEbhORV7p4e2A1kAMQkbdHJrVb\ngIMZ+Bz4ch2TKtdZWM3qQgo2/55y2pIytWnDasJjZqGmYsoQcJZDn8VaX2x0wdrGlJEg3Y78trYj\nZcwQkSpsn64buHCQ6FOakXbA046dfA+A04AsLBJ3gCfBQfgxdm7FHsaY2cA3gfS8vT2i7T2xE23B\ndppPMMbMif7rnaa1FC8Cu6fmB+6RipO+jhewHXkgmBvOB9Zh7w9E9wjbuS+HF4G5Lj3PniXKUSw8\nUUcZ+VdaL1ONweo8fX+eB65Ita0GY8xP3PGbgUNF5GCstvBHISFjfmOMeT1W+/wX4JoozQFzGEVk\nsYtzITDfGDMHWMnA58CncVeqXDOMMecDG4BeBj4vyvTmSSAnIvtFYYcxjU13lKEhIv+IfVe90VkK\nebSNKSPBKmy78RwGvGyMGWyupaKMCK6P+F2sUupUY0zPOBdpXBlpYfJJoF6ss5warIejuiJxN2DN\n/PYuM+2ZwCZjTJeIHA1kuRP/hIg0iPUM9w7gZy78m8AVrjOOiCwUkTeXkee9WA3mhc5BzZvJNimM\n+QnwDhE53M2b+wzWLLjZGLMBK1SeLSLVzgSoLMcnzszxQeByEakVkWOx81c95d7PR4DXiMieIjIb\na4Yb83IZaUxlKq3za4D3Oc25iEija/8zAZwW8ybsYMj9zkwYsU6s3uwGB3ZgR1r7XZrfAS4WkSNd\nmvu6ttuIFWY3uDTegdVMZnErsL+InCMiNe5/iYgc4Eyof4F1yNTg5lGeWyQdZRLg2mo9UA1Ui0h9\nlhm/a0/1QK3br3fvKa8t/wXwn64dvxp4M06brkxvKmhjr8UOmp1qjElMC9E2ppSi3DYG/AD4FxE5\n0PkkuBTr58CnU+PSqcIOXtQ75YYyzRmJb6XjG8AB2AGz4UwhmxKMqDBpjNkKXIDtDHtNXEuRuB1Y\nhzB/cGZ4SwdJ/gLsB2g78Emsy940d2FdQv8/4EvGmN+68K9gtZq/deffh3VMM9j1dANvwboG3oI1\nU7wV2/kvds7vgE9g56e9iBUW3xpFeTfwYazp60HAHwcrR8TbXLk3AZdhX6g+37LupzHmDqyQ/RjW\nmc+tqShfwc4n3SwiV1dQtilBpXVujHkQW6dfxTp2eorIq5zjOuAQkh2mKuBDWE32Juz83/Ndmjdi\n6/LHWLOdm4F5xpjVwJVYgfdll+YfipRrO9YR1VtdHi8Bn6cwuHMh1lT5JexH+PtFb4oyGbgUO+Xg\no9g22wlc6gaN2sTOuQZrNdFJQRPUiXX45bkAyAPrsQNj50dzeZXpTblt7BNYB2G3u/A2Efl1lI62\nMaUYZbUxY8z/Yh0U3gk8h52mcVmUzjXu3H8GPu621WOwAiPwrXSD++/F+g55KXrPncU0RZJTw5TB\nEJE/Ad80xmjne5ow3Dp3L6e/ALsYY9LOJxRFURRFURRlUjLSZq5TDhE5TkR2carxc7FLY/zveJdL\nGT1Gss7FTtD+EPBTFSQVRVEURVGUqcRgS2Mo8AqsSW0jdr3G09ySD8rUZUTq3M2HfBlrgvOPI1pC\nRVEURVEURRln1MxVURRFURRFURRFqRg1c1UURVEURVEURVEqRoVJRVEURVEURVEUpWIqnjMp0mBg\nzmiURZnwbMGYDhntXEREba+nMcaYUW9jc0XM7m5bsIt3KlMb36hagM1j0Mby0mAamAFAFVX0u2Vk\nq3QMd8rQT39mfW5jCztM16i3sXrJm9nMDWWJ8eWKy5iOk45f6rgyspR7v9PvDr89lm2skZkAGPoR\n15bi7XIZyjnKyGJc+ylWD4Z+qp1oWEkbG4IDnjnAeyo/TZkCfHvMcsrl1DfUdKS3t3dM8tkduMlt\n52DYXSgvjI76l10ZMv7TecoY5TeLObyBfwIgTyOdtIdtZWrQSXtmfd7I98Yk/5nM5m2uP9ZBR+JY\nAw0hPN4uRgMNJY8rI0u59zuOF2+PVRtrZCYncTqQbO/F2n4phnKOMrIM9h3qpJ157ARU1sa0x64o\nyrTEC37lCJKG0oKiCpGjTyywl6qPdDzPWOtcekkOjGgnauoR16kX2KD4qP9IE2tFiwkdkBQi04Jl\nuYJmVpxiAlEl4aXSrjR8PMoymEAYt4tidVIqn/RggBcGxkPDN9x3mL4Dx59y6mAT64HK2pgKk4qi\nTEsqEQBVWBx/pMh2qXjlxB9NtPM09fGd+5ixNGVOC4Xlxh9KHqMRPpppj1dZKo2TRSxAxnXsw8fb\nXF7fbVOfStqYGi8riqIoiqIoiqIoFaPCpKIo0xIT/WeFZR3PikOReOnw9DbD3C6VdjnbEz1/yggf\nDHH/+qFTRos8jUFLE2uOxgqfpzeHrGTuo48bm1L68HK342seyvZQ8pzM+cek08uqC0UZS/I0JrTh\n5aJmroqjRit1AAAgAElEQVSiTEu86WNaUInDyzWZLGZGWcw0cyS2RzPtiZA/ZYRXghco1WRZGQ3G\n24HNcPOfSGaiEz3P4ZQly3y1FMXqVT3vKqPFfBZWfI4O2CqKoiiKoiiKoigVo5pJRVGmJYMt51FK\ngxVrM1XTNfHppzByOlZrio63gwxlbInNE8dKa5TOpxzPrHHcYsuG6BIho8Ng2uPBvMnG6PtFGW0q\neY+pMKkoiuJQD6/KSKFmaNMPLwSMV0e/XCEyjltsOZE4fjpuHF6OCWep8FJplxM+lDxHsiyV5llK\n4B9saRedS6lMVHRoQ1EURVEURVEURakY1UwqijItydIsFnO6U865iqJMb8ZTc1Suaep4O6CZCnlW\nUpZiWsbBzi2mwVQTZGW0yVo7dzBUM6koijIMxmoOnjJ09EOnTHXUBHJiMtLC33gsP6Mog6HfWEVR\nFEVRFEVRFKVi1MxVUZRpR9pMdSjaxcG8wSoTh9ib61jVl3pbVMaSwZy7KBOfcupP61aZiKgwqSjK\ntCMtPA5FwFAhcvJQhdaXMvqMdUc/HrAYbNkJZfwoV8ivxBuvoowWeRqBygZEVZhUFGXaU8m6keU6\n6VEmDv1AtdvWOa7KaDHWHf14+ZlKBUkVPseOcu9zVvvROlLGi0qWt1I7HEVRFEVRFEVRFKViVJhU\nFGXaI5SvbVSt5OSjCquRHEutZCWjusrUIL1Y/VhSqVZ0uOX0+RXzLlqp19FicSsJn0ieTsspS/r4\neLYfRUmjZq6KoihjxFQye63kWiaTA6LYAc9YoQ54ph/jLciMpQMen0el6zMOlt5wwiuZczja96ic\n9Efq3inKaKBmroqiKIqiKIqiKMqooppJRVGUChmOuWRa+xfvp7dHg1KaxEq0jFlxJ6qWVkdNlbFg\nvDVK453/RCHtXChLG5kOyzI5VRSlPFSYVBRFqRBh6MJeMSEsa3s0GIrAZyh4Qy1l+FJMSJ6O6JxJ\nZSxR4afAUO5FlqA51qg3V2WyogO2iqIoiqIoiqIoSsWoMKkoijJMxtpT6HAZSln73b8/1zDwutNh\nk+2+KBODTtrHuwjDYjy00qOlTRtvp0JDYSheUhuiv7FCvbkqExn15qooijKGDMecczgms8NhMG+s\n1VGcuGssqd/0OZ5Y8MzKeyxNYNWb6+QiT2PJ42PptbQSfLnGq+5H475MtHucJr7mYsuFVEqcVqnt\n4aLeXKcveRon/KCZenNVFEVRFEVRFEVRRhXVTCqKogyBwTRrk8UBTaw9FAojjOVqFdOmrP78frK9\n1MLY3xcdNZ1YDFe7M1E1N75c4+V8aaLel9EkvuZK1nYs5eymgQbqyIewrHTTHmMVpRhZGsg4LK1V\nn8dORc+bqKgwqSiKMgyKCY2TQZDMopxucDqO3xegN9ruc9ux+etkEbKHi3pzLU45nfBO2oO561zm\nh/DNtLKJ9QAsookWmsN2KxuAwc1kR5vxMHNVwWZwSgmexUxYO2lnN/YEbNvzQuYOOke8fOrNdWri\n30excJinMYTno/BO2ieVEOnRAVtFURRFURRFURSlYlQzqSiKMgSy1oZMa9yyTEWHq8X0mr3RcNpT\nSmvoRx77SGomq6L9KgrayJhe9GOjVE4x8zCvrYm1NvU0MJ+FA8LHg/Hy5jre1x2TpeUbrzIWM21N\nl8VrtuezMBzL0xi0kF4j7hksvXS8wa69lAmuUpy0xm8iEVtYxE534nLGcVpo5lCOBmx7G8/rUW+u\niqIoQ2QwL6elhLj0/MOsNLIEtvR5g6Wdjm8ytodKuQJwdfQrGeEA3VGYD/fd7MHu80ii3lyLM56e\nUeNOVJo8jZlly9PIoshszB/bxMZRLu3gTEVvrpXknWVGmg4fzzJ20BFMpjfTOsCE1Q9GQNK0ujqq\nzzg8beoaC4GVzuVMl1Mpn4kmQMbE5qydtGfOh5zHTmF/Pw5KnDueVDIopsKkoihKBZQrsKXjpIWm\nqii8LwqLndb0p+JC6SU3svIZKmnhNU43R6Fs3STxcyZ7KHxg+qJ4tSSveSyYHGLd6NFAQ9C6QLKT\nkp4flj4+msQj9bE2KF22FprZnwNDmO+0b2I9i2gK8b3mKO7AjSXT0QHPYEtzlDqvmNaymMavmGAa\nx8kqV0wsAMbCYwMNYf5t3HZ2Y0/uZQWQFAYGm984UZevmYxkvZfSmr04PL0fvxdG4x1Xao5jnH8r\nG8L7qpP2hCbct6tNrA8DHH6wbTLMoZzu31hFURRFURRFURRlCKhmUlEUpUKKaSfTS2aQsS9Yk0+/\nH2vw0lrF2CTUH6vHavn8fm/qnHLMRwfTmmbF63G/XVjt4ly33wG0+bKcfDI1t95qd449lt5HHgEg\n19YW0vEmp1nlnEqeXieCN9dYO+JH4tMaldgDaqwlbGXDmGj3fB6xZstriA53c4cWsJBa6gC4iWs5\ni/MBeJLVLHKanyM4JqS5gIVsjDSxY8108eYat6VO2jO1lN77qSe9X+/idZWp2Sw1T7HY+T68nga6\nUst/rOUJAF7BIaHdLeNEHuNBwD4L3vTwMe7ndm4ArGniCZya0HRm5V/JPFH15jqQWCvXyobMe5TW\n3Pl9e+8K2sD0nNeR1FLG2vOkhntDwoT1Tm4DrPdpX64nWc189746jCWhTcbzJz1ZnmEnAipMjgcr\nl5c+fvDyQpyDB4mrKClyuRy1tbUA1NTUYExBJOjp6Qm/VVW2w9PdnTZUVAaj3HmJWessVqfi1ETb\nvcCOKF4sZMbn1abS6Im2s4Sx2ElOsThZ+HNqo/w73Pa3+QoAa/lriH/TrdfSec08AJ5/9z3s8bG1\nAKz5zD5snTEDgMa2NnpS1yOpX2X4lDIJfJLVgO3QxKZ+OFOrVjYEgRKyTcdGgk7a2cN1qJ6nOcxH\na3UdsB9wHQDPAJ2u/Zy8YgVH7XMUAJ+a+1Uu/uuFACx7xZvYg8cB22nchwPYTOuIlLNSpqoDnthc\n2pvieWEqbabshcR1PJtqYxZJPe115ENaaZPZUkLmYOakced+Xw4M8RawkD76qWaZi1loK1/hcjqD\nifWSkMd93MVpnAtYYXItTwTzxFLlLFbGUvNMldJzqltoTpi4xw6TipnDxnVVKu1KydMYnotFNA2o\nZ1/O3diTEzkDgDu5jfu4C4D9OJA7eSCUy5dzKcu4jxVhMGMky1wOlQyKqZmroiiKoiiKoiiKUjGq\nmRxrBtNKpuPE26qlHFcaGxupqbF6pO7ubnp7rYGhMSZo90TGV7dSU1PD4sWLw77XRAL09vYGLWVV\nVVUoc3d3d4jX3j6xTCcmIqXMW4t5ZRWSI3fpUTw/jnlQPUiL3X5hQUFrWQ+84La7sOFes1dF4UUe\n60N6KWgwiy3lkSatQfXp7ojOmQG8AjiNhwE72u89ab6XD3Pfu1cAcCXL+OhnbgLgHI7jpLbTATid\nC8kxtlrI6eDNNR61nsv8AVo5P3K+mH2CM5sWmmlwo+aNzAxxrBZyYSK9wfKMqURL1h89NY/zEAB/\nz0m8mfez+uSTAai/9Vby3lT6qKPCs7CVC1n1w0sB+NrvdmXe66wm82ouYzOtodw76BwTc8Gp7s21\ng46gZfT3NM5zgTtWz2w+eYM1Z73kDBM0jvWRxs1gaKGZfThgQD5zmV9US5kujz9WzBnPXOYHTU8V\nEuI1MoNt1PAwXwSgjyVBg9RCM2dzAQBPsTpoNsGaIQJ8ggs5kdPpcMdiLVlWOUcifLoQO6ZJO82J\nHYn57dhB1xpWBdPQ3diTzbQOMG+FpAdVb4kxEjzG/Qnz1RaaWeq03520B6uQTto5nhMBeJQHOBH7\nfdzEeg7FWl4YDItoGnPHaJ5p5c3VrLt80Diy+2VjUJIyKEeQHOx8FSjHnN133x2AfD5PY6N9mHt7\ne9mxwxokdnZ2smnTJgC2b99OLjd+j9XixYs59dRT2bDBvmRXrVoVyumFX7+9cKF9ec6cOZPVq+0L\nLpfL0dHRkRBCpyuVzN8rZ53J2Kwz7ZH1867j0tq1gXMW2Hr5CntyP78H7Afyzzwbzt0cnR+/7uO5\nmDkKHlOzPMn6sNirahyvP0o7Fix/zFWcxp/DB7OLDh7jfgAO5ejwgX+UB0In7C28nXudSc+NLOHR\nBQ+wcmOhLPEyI6NhIDhdTHB8R9kve+A7SA00gtvupZdZzAbgII6gz7WAqqj2Y4+D/jerI1PMO2Il\nneF1rl3naWR/V8aPX/l+Vv874OffgpsxCTNJrnnKVVfZnS1bgrn3R7icS/kum/lL2eUYCaaTN9cO\nOuikPdT/7izmfD4C2Of4fGvNRz12AMyHf57PAYTBDr/sRgftYT6lIIm5lcXMP8sxf5VIgOyjPwi0\nL1HLi9wdTAhb2cAxHAfAPhxAtXsrzWOn8E67iMvC8/KffIt2NocBkPhexIJJWuBWL6+lSXs8jdda\n3I09E4K9394/Ml+OTVkFYSE7J7y5euL6WkRTUY+vpUxLfbz00h6POpPV0zmXH/D1EL+DjiD05lkS\n4r2dC7iJawFr2np9dM48dgptZh47hWWRJhrT5RurKIqiKIqiKIqijCCTWjNZjlYyHW/CaCmHimon\nx5TFixczd671W9nY2Bgc20DBcc3WrVvJ5+0oamtrKzt27KDNmWR5JzdjxaxZs5gxYwbbtm0DoKGh\nIZjmQsEMt7u7m6VLlwKw6667BvPWrq6uhNmrkk2la03WUNC4eU1gvfv9d84FN6p5CEeGEfu1PBFG\naOezkL91o5hrWM3zFEb7e0mavPrt2ONrX1SWPpJmt3EL7Utte22QN60FuJyLWMpxYVR1Pw5KrJHl\nR+X346BQfkE43JmHHc4S5KrP8MTZrx9Q/qnEWGmnskzA/Ii6N2HtoJ05zHPlKtSyINRELqD2Yl/A\nanB66S06Ip/lJbYSYtNEryl6jAdDG3nov3anmnVBNxWbKb8EzAnlL3gK7l2xgu3OimTOunV8b+O/\ncMkCqwVLO0oZbaaCN9dY6xebHXqNoTd59fl+gEuCPi5u+TUU3nXVwCV8FIDtwKVckPC6W9AuLQhm\nrnXkE1rK2HtqKeL74U0LD+UojHsTzqONlWwImsld2Z2tbA7X699jsWbsSVZzCEe6cvWxgt2D+x5v\nDZCmXEdCxY5PFw1mlpYQ7LvMO3t6nIcSpsgFLV/yHbSGVSE8jhdrGWPPsLEzn7gOy9FKgjVt9e2o\nheZw7BNcyH4cmNBa+rK1sjq0Md8+Af6P2xNlaaGZ1zpz2LgtTLT1JyelMFmuEDnYuWMmWA7XvFUZ\nc7xp6/z585kzx3Zddtqp0Bnp6+ujr892yhoaGujqsl37xsZGtm7dGuYmdnQUHv7RnE85a9YsADZt\n2sSvfvWrINzW19cnBGBfhvr6el54wc48amtrC8KkiIz7vM+JTtbdKXbHYmEuPWfyy9j3TwsrQkd3\nLU8E0530HBw/72Ipy/gg7fzCfWBe5ky2Fsk77SkWBprHxuWKheRqCgLrQuCtLr9D2cA8dkq4LM+a\nkxKbI8Ue6gBOO/v6RNk847+YxuQjdhUfd3z25yDE1e5CdqbdLeCSI0e1+/QbDDtcLefIheU3DIZO\nOljkhMsOtoR5sZAULsrx+JqeQ5k17+lojuXj/BsAj7L7gHbpzzYU2mU/djkaAJqamPPVrwLQAtwx\nD1aMUxdnKnhzzTItjYW6ucznBZ7jq84krx7Y5I51Q6j9mRTqqzYKnwN8i69T92e7f/4RHw5zXKuQ\nxJIhfttgQhn8oFux5Th8vB10BgGwK5rzadt3Uzj/RdYxjwWAFUbmu/ftKziEb/B5wM6X9Ga5L/Ei\nf7puCfPPvQUgCCxZ9zHLzNWXU725JtnE+nAf5rOQPWjiETdwOZ+F4bsyP5rTnV4yJPZ+Gnsg9uEA\nDUWWE0mbwhYT2uLw/TgosRyI/1Yfz0lsYn0QFudH38n9OTB84zvoSCwZ4tvSbdzIYSxJvGPT5R1N\n1JuroiiKoiiKoiiKMqpMSs3kSGHWXT75zV6VEWf27NnMnm0dVMyaNStoKY866qjgxGbNmjXBFLSx\nsZHOTmt609DQwMyZM6mrsyP827ZtCyan27dvHzWz1+pqayhYV1dHVVVVMG2NtZLGmJB/TU0N69fb\nUbK1a9cGzWpNTU3CLFYZSJZ5azEHPMXY7xlYutcKIKmBzNOYGD2Nw9MaqKOdRuAVLKTFjVw+G5Uh\n1kzWRWn1kNRAxjoUU2R7CwSzVj+imuWcJfZWtz+FkfY3cmZwXNFFBzdxexhH3h6VYbR04lPVm2t8\n7/M0Jsy2dmHXoJnczvbgYKc6+uwLQi7a73EubProo4ZajFv1NEeOXdgVgLv5XSLPUl4Q49Hz9AL3\nWTzq3rXMnUsPULduHWC16t7wvp+Clj0H7HCWI8yZw5azz7bXdf31vO7LcKdrWWNl4joVvbnGpsxp\nE9Mf3nA4lzlHO3UU1sito/Du6adg5hq/a7b73yPs7+f4Imc7j5ZHcAze6L6VDexOwUN5XIa0Bi/W\n7MXx/PaTrA5WFPPYiRaaOYFTw7kruB2w7+TYNNZ7cF3DqmCmuIgmOPe0hBMY365LaRazNJGl4kwX\n4m+If6e0siGhjduNPRNaurgukve1GbBaznnsFNJooTmccxKnJ7TfsbVE2gFPTDHrC1/mjiitTS4v\nb6Yam7MCwTnP/hwYzvdtLX1P0vmNhZnrlPbmOhwT11LpqVCpgPVmumDBgiCExUtobNiwgZkzZwJW\naPOeXfv7+4Mwmc/naWtrC8JdPp8PgmV/fz/bt28P+YwUVVVVIQ9vpurzL2a2Wl1dHa4xFh77+/t1\nvqRjMNPVYsuAkHE8Xo6jBvjYXl/gXlYAJBZXjz+kT7I6dEr83A8odFS8EDqPnTjMfbRWsjosCLGN\nwhzIHgoCZZXbj+dH+jmLfSTNX30rrY/yfZLViSUCWmgOH7n5LAzh1vNcwaPiU9GHdNN77mPrt/cB\nkh3MHOrNtRKKuc1/BYewja00MjPEfd61n73ZH+Pucjc91Lpuv0R3qZpqDP1UuRaQI0evE+GO4bjg\ngTU9ry7uUMWkPV3GXhC9uVkNNcxwwqNZt472GTOCcFJNQSDppdCW2wG8MHnKKfDmN9vzDz6Yje9Y\nSf+/m5B/sbKNJFPJm2uWaWYd+aRgdsbloTubnvfclREevwfrgdp6mOkiSj38rOtGAD4ReedMd5jr\niwiQcZmLsYZVnOQEVj+H2L975zI/Ybq/T2Ry6wfSNrGBQ6PO/pmspjbaL5Q1OcCSVcbpKDCWQzx4\n0eD+/H19gefCd7CT9sT8yWIDXA00pOY92sHaOvJ0uTpoZGZIt5UNkflqchAqPXDqKSbYddDBY5FX\n8zyNicHj+Bvu3923ceOAKS7xYNhEmicZM1W/sYqiKIqiKIqiKMooMuk0k6PFpPH4qp5cRwXvMCef\nz5PP59l5550BmDNnTtDgbdy4ka1brauTxsbGoPETEerr68P59fX1QVNYX19PQ4Mb1a2r46WXXgKs\nN1Xv9Ga4pq9eC+mvQ0RCmiIStKD+mM8zSwMZr5853alkncks4nOro/05wL2sCKOPL/Bc8Fa3hlUJ\nBwMF05uk1id23DCfhTS40fF9aOftvB+AKy7/CM+4V5nXRkK2M6C0F1ewGiBvJN0GtDht1ImcTgMN\nYbQ0HkVNrxEWjxDH2ssnvr1PGJePdQlTyQHPWGmn/H2dy/zQdvZkb2Yxm76oDHuyN2DXmfSayRy5\nEKeagglsH7300U+f0y9VU0Wd0wdWUx0cRPTRR6fTVKW9ycYahTyNwbzQa84h6bhpO9tpO/hgW66V\nK2lsa0u0y1hjnnhzNdtr5uab4fjjAWi8/nq+Ne9rVEWj+GOpCZqs3lxjrVlWeptpDXH250CqKdRF\nLQVrjK0UNJOQ1EbGkyjauqJjXQUt5ie5nLkfttuf++I3eYa1QFIzNI8FQbOUppj31/04KLTRDjo4\nhCMR92bexMZEe/XntbIh4TU01obdwvuDs5XYIUza0U5MqXqart5cY81e/N1roTmhlVvDqnD/G2gI\nGuO0aWhBe9hcNM/HeShhTht/x9Ka5NjhWKxl9MROgx7j/qDhbqCBQ1mSaD/xtcVTRXxZko7LrPY1\nzn+iMqmEyZE2cS2Vz4QWKJURxwtkc+fOJZfLMW+eNYE55JBD2Lhx44B4UDBVraurC8JoLpdLCHC5\nXC4Ik7W1tSHcm7uC9abqTU37+yvvgHZ3dwfPslAQjNP7vmyl4vT29g44Nt3IMmNNU46gaUiaeM12\nv6dyIq2RS/pNrA8dl7/ltTzH08BA75yx57rYXX0rhU7IoRwdzGf3uGwxf3ACYGxe5uec1Ub7/lp2\nRNu9FDqEOWBRNG8pnp8XCwS2I2CJF5LupTd8EHdnMd2p/P19Gsx0WBlIbPb0N9jlfnrooSbqUFdT\nRY274/30Bw+u1VSHuaxCFX3OlFVci4nnU3oz1yqqwrZEtbSQnUP4ZloT851ib76xq/4WmkPn7ElW\nc9rmzS5dO6gRm7lmLR/Tc/DBcNFFdmfLFnjkEVdWK5zWZPoMHn0mqzfXYiaj8VxEX1+f4zpmYs3p\nwZoc+69QHdajK1hhM6672Py1LzqnIdquBrZ90W5fzPv4BzfnDAqCg1/iw3uAhYLgGAuQHXQEL61x\n+Y/hOAwmmN/H5pHxvLdWNnAfdwGwlONCm96Pg8jTyGPcnyhX+p75fNNhPly9uSa/dfHyUotoSngF\nz9OY8JpbzvxTf15WvPjdGQ9yxVM4WuhICH1e6EzP50wPpNn4jYm2RDQvcx47JcoSC6k+//kcxD4c\nkMjDm95ONG+uk0qYHEsm7FxKXWdyVPBCYm1tbfgHePWrXx2W0Hj44YcTQp8Xurq7u4OQ5jWScXpe\naxkLczU1NUF72NPTE9Lq7++vWFMZp5uFT6+/vz8Rz+dpjAnCaC6Xo66uLswBnc4Uu6Mm9VssbtwB\nrqEwgj+fhQlX4otoCvOANvBy0FKu5YnER601Oj8fOcCJR2I7aE448DnPbd/gHEuAdaZTS2EOWjsF\nQTNHoRNYTUGD2UvhYxk7eYGCIwubf3L5B38t8Xk5ctzM1ZzGB4CxmWsxVR3wxJ3OucwPwlw1VcGZ\nDkA99eyInOl4wTJeDgEKHfQcVUHI9PglEXroC0KmwTCDGYCt72Ij6OllQuIOoh/Ff4z7Ya+9bB5b\nt9Lf1oY59lgAep95hj4/n3LGDMStLSkrV2JuvtkmtGyZnTcJ1N96K+/mo1zLlQPyH02migOetCDp\nBbZYSDNY4c8Lh43ALm77JWCW244FxrhF+SVDfNgGClrLHncc7HIjt7n31xV8iQ28nChbvARIvB3j\nBcZ9OZB5bokbH+bbbCfNtGS0k/ksDANpHXRwnxus84JOeu0/GHj/KnW0Mx20kTFpoSyeq7g/B4bv\n4zqeTXxrDuUoAFZwe6aTrXgdVE/sgCm27onzj+d052mnM3quCu0lKcxlLdHUGjl88tcSayb9sUU0\nJZYJ8dd4PCfxI74RtN9jvbZkJYNiOmdSURRFURRFURRFqRjVTA7ChJtLqVrJUSE27aytrQ3mpmvX\nrg1ayoaGhqCZNMaEZUKMMSF+R4cd6fKayVwuFzSTfX19ifAY7zF248aNdHV1hePlmL329vaG80WE\nmpqakE+sAe3r6wuayb6+vjBnsqenJ+TT29ur3lyHQLw0iN/uI2ne5Ufg/fwx6/4e/oef8UbODPG8\n6WB6HonHj6ZmLQLfQEMY7YzP+VsODGZYX+Y6dlDQKPRRWGpBKJif9lLAzJjB0rbXJPKL5w7Fc08K\nJjoLE/OO/GjrozzA71gdSh+bucYMd85qzFQdNU3PzYo9s8aaxed5ll2xy270RjW7E7sUXRqkjrow\ntzKmKqqVKvcHMIvZNEQahjryvMBzmeXO8ohoNeqP2Z3Zs+mbPRsOP9zuP/JIqMO+ww8nd889trwz\nZljzVrBeXZ2Wcuuxx3LjPefijdfSJuOjxVTy5hqn5bXS8XNfj9Uaen3QNqxG0sYvPNMdFLSM6Xfi\nTEjoWfqjcL89h8K76h1c7Hywwns4FyChWU+bt0KyjW1iIzdxLWC1QfNZmFzqw9FCc3hfdtARjsVz\nJvegice4P5hdlmtyqWQTf+v8t+IQjmQtTyTmRnoNZCuruJ2bgEJd+nR8Wt7reNwG5kVmorHJaroc\nNi4hfbCm+LFm8rBIm+iNrWNP52ktYux1FkhMdYk1lr7txWWc6KgwWQE6l3Lq4gWu6upqqqurw7qL\nq1evTiyh4YXJqqqqYBra2dmZMBmNBdNcLhcEw9hRDxCENmNMyK+qqoqXXnopIRyWMmFN4wVDX+ba\n2tpQHhEJ2z09PSHP9vb2kN+OHTuCkKyUT9Y8Sz8nCJJmrv5j4edGLqKJP/J/QHIJkPksDB++eI5k\nuqOSng8SO8DxnMTpYY2rV7GYZ3iWTe5Yd6r8ce33+nX/1q0bsBRIlrlN2lmBN0/ancWRaeMG2lL3\nKW7hla7ZOVEZC4EiFiQFCct79NLr9uxd3IVdgxBpl/xwg1qpNSfjOYb99AWHPAaTEEL7XGs20SqC\n/RhqnZMeQYJjHhi4hEmyg18w9fJCYu/JJ8OKFWEOpMTOeJ55prDOZFsbvbEDHr8N5NhKuytDlrnb\naDJZHfBk0UADG6POdsGBjTVl9fXSRWEgqoaCGX1jFKeegvDYgzW59/GqKQiQHdE57S4NsPPO3UIw\nfIPruJLPZzrhiYUDm56Ps55N7thrwzxM26FPznUrtM94TV0g00Qbiq95ORSy5qtOZeLBnpZoqsYO\nOhP+BeL1JA9jSdiOhbHYORysH7CEhz8nbXof3+dDOBKwc7/jd8ehHBWWReqMzPXjc+ezMJhCx2H+\nt2BaSxjIiNtRPAjcQjOHcnTm2pZxn2AiMFUHbBVFURRFURRFUZRRRDWTFTLhzF6VESE2M509e3bQ\n2rW1tTF37lzAahljDaQ3DfXaTB8eO6+pqakJWkIgaDP7+/uDBrCmpiacM3v2bHK5XPD22t7eHkxn\nczKgoLwAACAASURBVLlcwuzVlyU2a/Vmrl4bWl1dnTBtjbWOvixdXV3henfs2JFYQkQZSGzK6sly\nxhObb/ZTGHU/jCW0soE7uQ2wo5KxNjHWRhbT/nUkPMwVRlVjE59YAxSbnx7PSezMjWHx7k/y9VD+\nKgpOMLqAnHN6ctiroPVeO/LrXZUXlvogoY0sOKFopN+lHLvdX/Od1fAuHckcCeJ2MJ+FwYFONVXk\nqA2mrtVUI1Et+3g99ASz6tizazXVdNMTNE2Sqi1v9tiPhLSqEKpdi++nnzrqWMw+gNWUdkVOLOLR\n9VdwCABXsISzj/1/NgNvuuo0k2bGjELmc+dS7dpl78EHF0xhTzkFfvlLAI761TouOerkcdPqTFZv\nrp60yaZvY7uzmD85z6ZVWK2hjzkL8D7KY6c7MfUU3omx51Z/LHbAEx+Pt6XJbtc2wwe5JGgqz+Lc\n0K52Y8+Eib3X9M1jJ5ZyXLiuBhoSpo7+PRY7c4m1XmtYxTlu6aVNrE9pwSpnJOtsMpPWBPv6qiOf\ncFZnHdHZutiPgxJeU2O8tUNacxfnE2t/4+9ZnkbW8gRQaPve7PQxHsz0NBtrCdewGpzps9VENiba\nWOyQJ34PxlpOX7b9OCjxTU9fw2gzZb25yu6XjdnyIOVQltnryuUjl6HOlxx1WltbWbBgAY2N9iHf\nvHlzwhuqFwzTHlfjJUNqamqCCWtvb28QzGJvqo2NjcFkdubMmUFg9L/eK2xdXV3CHNYLk3H+NTU1\nwXy2vr6e+vr6hGltLMz6NSQ7OzuDYBmvLRmXV8kma8mQwTy/dlHoNH2Ay/k2n+c0zgNw80EKLuk7\n3EellHv4+JjtzBQ+UPHHJnZ1H39gT+L0EO8cjuMXroNYg10jDlfeYHJ60Y3sd2/hXRebfqXnpMQu\nzv18pk7ag5ntn99l48Ufn6yu90guEzJVvbnGxN5zq6jmYeZwpKvNbnYEgdDQH8xR++kLAj+Q8NKa\nIxfMYW2athZ20B066vU0hPB+TGKeZlU0b7OOOjY5L5rzWBAE0Baag2ntHf3Hwfe+Y0++7DJrwurW\nnaSpqSBgNjUFM9fqlSvpcx5cmTMHjjgCgKVH7csLPJc513g0mUreXNOmewBddASTw3No5w7uCt31\nLRTmRnZTME3tofDsFb5E9p3YQ8H8vz461gPBDL+OgmfYmBqXnzdo/TbX8SW+AMCT0XqE8dSBh/kH\nFjvTQn/Mv7vitQLjdX2P5jXh3ZWnMXi29etcFlvTspy6UG+ulvQSWH6O5CKaUlMkCm3RCvNNQPE5\n0X5wNh5gLZa/zyNeeqSBhsS6l2nzYz+Q8CSrI1PYJeFb6wXJrDmb8SDFfhwUzp8XlcH7I+hIrWk5\nVqg3V0VRFEVRFEVRFGVUmVSayYmImr1OPdrb21m/3o7+9Pb2Bm3hnDlzmDnTjr3m8/mgWfSmpX67\nqqoq4UHVU11dHfZFhHzejmjGprA1NTUJDWh9fX2I19nZycaNdnQ/9vgaOwbyHme9dtEYk/DO6rWR\nPT09wbS3v78/lCv2+KpkkzZzLXW3gqMQcLogqyWL18WKR0XTI7RZJi3z2CkxOtlCc1GHDR2RGU1h\n5NOeH69r9RZn+rWUZXycy0PZ/bV96syXuddpJLwm0pf/UR5IeHP113I0rwnOChazT3B80fed79D/\nrncVHfPMcsYzXKbyqGm8tp3XjLzAcyxhBsbdzSqqg6fWHDn6ncbQaivtton0t96Lqzdb7aQjaC1r\nqGFztMR3zumNDCaYzPbTH/Lw7MKuAPTRH+ItoiloJuceejAss2atrFtnnT81NRUSeOYZ++vNWoG+\nSy9N7LNiBQCt7Mmh4+CcYqp4c41N7eJ1EhtoCO+k/TiIl7mL2e6cbgiOtXIULDGqKWgfYwsBb1Lv\n97dD5P6p0DmtjcKrKWRS79L1b74O4L18BIA9F8DpG88Nafl33Z2cxRb3rjqMJbTQntA6xe9Rf52/\n5ueR9nJDeA5y5OiiIzxzsYZSqZzCtI32hMOaKiQxDSSur1hj6YkdKT0areVs9x8I8fx0jXSe8ZQQ\n3/Z92eJzGlJTUvxakDdxHfPc+fNIOmxKe5r12y00F6aBsDqUN3bME98jf50TiUknTE40U9cYX64R\nFyrVvHVMaWlpCcJVLHS1tbUxw83daWxsDNu1tbU0NNiXV+zt1f/Gy4l4QS2eu+hNWj0ikjBz9dtb\nt24NcV5++eUwZzKO4/Py5rDxEiax0BjPvayqqgrXqPMly6ecu+RfsH0UvBgKcCN3sYfbP4cLIHIl\n7j9Q8aLGeRqD6/E0nbQnOkGxW/KsOSV+fofvIC6iKZjVPMlqjnALdD//qmfp/KE958v7Xh7ieBO4\njtSHGqyg6vOspiqYXbaxDfNdG+ehww6nl0InMu3NNWYyt8SxEij8/W6hObSd3diTLraGpTqqqAqC\nYV/CtLUvmKla36/+jlsh019DLXXR3Mh+FoTOVqFzI9H8SUM//ZjEvjezrQa6nXjRSTsfP+cNALzh\n344OwiAzZsBeexVMW7dsgej9x7Jlhe1I4Dyq9lEAlvLOMZ1blGaqeXP1accC057szUc5l8u4DrBe\nVr0Za7y4VDwPu4aCSXu3+/X7DRSWAOmmMBA34E62FfKIhysaKCzl0LnRLoEE8AO+zl9YCcB+HDig\nE+7nw8UeYOPBt1iAztPAFVwMwEf5PPU0BPPtkWS6eXOFgnAU10MLzbTQzHGcACS/aXE9Dlzaw74H\nvYmpF+jsAEJziOe/XWtYlRiU8/jt2MtvPP82jnuTa2+Q9Mi6ifXhvbwfBwUPrnkaw5CcNaXFlXkx\nj3F/KH/6Ho3ne60UU3nAVlEURVEURVEURRklJp1mEpKav4mopTTrLkc2j5SBljIevPjiiwCsX7+e\nPfawOqSGhobgZXXGjBnBSU8+nw/mrzNmzKCuri6YoFZVVQVNXy6XC5pBY0xCS+g1mQ0NDdTW1iY0\nnN65ThxujGHbtm2A1UZ6U1gfJ47ntY7V1dUD1sD0+DKmHQsp2ZSrMfOj7vEaalXADgqOI2r5Om9w\nZqaLaAojl1AYfY3Xp/Ke52IHOLE31SwzoCxnGrHWM07rLM632/deyaZ33+fO2iexzmUn7cERRwMN\nQWNh1xdsd9dugglYA418+p02pRM+cTNCQXtRRcGcNd6W1LaSja/veBR7M6100h40w9VUBS2l1xqC\ndarjtYRVSDDh68dQTXWmdrWX3qCRrKchaB9jzWQf/fRFWs/eKM8cOeqdu5UtHA3n7+NSfrCwTuRV\nV9ltv3/44XYdSbCayDlzCuEx37TeYPNn2GvN8mw8FuZhk92bK5DQzHkNzA46w/1rZzv7cAA/4vMA\n5Mnzr3wAsM92V0gnqZn05q/d2HeiPxZ7vO6h8MzvoKDxLLiDsufH2skeCp5lYy3px+ovQK5cC8Ch\n738gsa5p2gTRP0P3sTpc8yaIzCEL97eRRrroCu0qvv9p52kj5RhpKpP1PfMavfv5fYjjzUljbWR8\n79MO4WLic6wDHUvsJKeDjoRmMW1aWlhntTmEH8rRKW+uFm8FFGs2Yw1owbR1Vcoju93+Nl/kPXw4\n81rGginrzTULL1hONKHSzHWmQyMhVHqPsGruOub09fXxwgsvANa0dfZsO0Okq6srCHP5fD7Mq+zq\n6qKxsTEId17g9Gl5YU1EEiavsdlpLpcL58XzMWNBr7q6mlmzZoV0vZlrPp8nl8slTFX9/Mu+vr4g\nTMbLmeRyuSCwdnR0qJnrIFTizdUTu8qvwr54CyYu1uwV4CQ6QodmEU2RV7iOxDZsCB/V+1iR+Cj5\nj1XcWYo/lg00JFyhQ7KD7Zd9WEQTi+58KwCn8F/cze8Au6DzDjoTpm8v8Jy7lsKH3GCCkFlLHZ9w\nN+mEB0/BfPrTwWAuvp8mdS9HqiVOZW+uWeZheRrJ05iY29jg6mUu8+kLRoaF5TzqmEmz6xKsopY/\nsTecs4uNdh9wvDtlAfAZb9rXxUzswFs7wvvd4hC70E2vEyHBmtbWuHxqqQ3zNwFosR44j7zmKB66\nw4WdfDJcdFFBgPRCpcfvb9mSECgfrLLdww+TNBkv5Rl5JJkq3lzjtEqFr+WJcI/nMp8vOMHyg1wS\nvLPG776ZwNwFbucEYBfofK/dzXVBlXMHW18Lsx5z8TYCL7ntJnCvIWbcDd0rC+ayjRQ8wkoT7OQn\ncL4DmGsHLNr4EfO4KpQ/9txJalDOY71S22tcw6rQ0W9lAzOYFZ6/OvIDllTJ2i6H6Sh0Zg3y+LmE\n8YDZ/3E7AG/kTJ7j6cxz/YBsC83kaQymzH45LrD32C+PFXsbj7+VWUuL+LaRpzEx8LsWK4vsx+Wh\nvPunzKrj72MHHbQ4nwKHsoT9onmifm7nYSzhPlbwWk6MyjB2cyXVm6uiKIqiKIqiKIoyqkx6zaQn\n7fRmomkqlcmLNxPt6uqirc0OdzY2Ngbt4ezZs8M6jT09PezYsSOhkfSavtra2qBdjNel7OvrS5i8\npk1RfVq5XC6YptbW1oY0OjsLa1ulTVn7+voSa0568vk87e3t4ZzY/La6ujqhKZ1OlKMJ83EqsTkQ\nCi9bf55vAV0UzLvu4AFwo5L7GThWCiOnnvksTJg0xiOpfl0qSHqlW8OqYJYKSbM/r6n02xvd9smc\nzvORKY8fhT2MJdSRD2aTHQkPdVG7j7ReXXTBadbUjBW/pCG65rQ562iYtk6HUdN4BNyPoHsNx1zm\nB5PjDjqCB9X/5ENcztUAPEAdS118q6Fsgztdgi1bYI3T+8yrp6Aq2oXtQcfcS3vkzbUzWnMPCNpI\nQz/5SLv1sTPsr9zwWbbe8R8APH3rrfQtXw7nnVdIYPly+ztnDjzySGHbaynPO48jZ74OgEdZyPlc\nwgZeBhigiR8tpoo311ImmzH7ciBdLt4OOoMlxH/xudDerrphHzac8XYA5tZDt1Nq1zrNYd4rzzdC\njbNe7twZu3AlWIc797jtJuD7drO7C7ZR0EZup6ABrW2G2oNDIeGv9t3zOr7Jnm593w7aeYQHwnut\nk/bgPbOVDQOcn3i82eEMZvEsazPbVdobrlI+sfbPb8f32NfLBl4OdXcfd3GR0wy20By+dUtZRisb\nwvfpNM5LaJ993TzKA5mmsbGndX+Oj9fKBo5x01OqEH7x8pkAzO2BExedHspyH3cF766xxns+C1nq\nzp/HTtG1rODf3LV8my/xWk7McDCk3lzHjPE2f12+u/29LOoSXb5S51FOZqqqqsIyG62trWH+pDEm\nCJOQ9ABbU1OTEOZiITLGh/f19dHT0xNMW6urq4OZaiyM9vT0BNPWefPmBY+tfl6nFxSrqqpC2rGQ\n2dvbG9KqqalhjpuD1N7enljOZLqRNrMcDXIkBdH2aL+PgpD5iEAPNwL8//bOPEyq+sz3n6rqpRa6\nobtpINhgR0UdQUgUXBKz4M1k7sUk5kbF3AkYRzNOYiYZEqMwoxPEkHkkmhlmkji55ibjROYmLsnE\nJ0gmc2fEjMy4gIm4hs2wNCg0Dc3SXd10LfeP31K/czhVXdVLdXX3++Hh4dSps1XVj3POe97v+305\nDyWFAXVzMovZ1lHTNM8Gry26e7GZyyW22fYv+InnAu3e+IC6mAFcw1JO6X0eZzdLuNUucy/LuRZl\nvX8B8+y23EbMjRx23PAS3PL4dwGoffw+PU+RRCknQUl/x4rIeqQCCvDeKAEeuStgZcnLudcGfS/Q\nzALUeewpJgATsOqqjZPgE3o6CqzS8ld6COvquGYynKWns6gbrLAezcrXNfd9pLRXZysp0jQAMHfx\ng6zVge3KR6NsAU+gaB1c3ZrJl17Kzf/Zz3iRuwC4lQZSpDzjeoZxKdbSsuFkNLm5BgU9+ab9geUR\nDtOo//dmyXI2vwcoqbyRuC9bvIv7uReAP+tZYc9vU/QQs7atkyGlI8PeOnK+sVHADLfn4KQuxnTb\njYC3rchxYJIycKXqfPj6n/wSgCTTWM+jgAoGVBsGNS6u5UYrL3TlibOYbd01L+ODPM5DAFzJotMc\nPYMa3w+E8ejmanAfdDYyJa+01K3bb2QKT+prpSn/AFXT3UQzcR2ApsnY37iJZi7h/YB6cGrqwGuJ\nWVdrv1OvW0/ZyBR+oh1cr+dmJl2qlnlxN1x0uzqW0F3AxNx4mMsl9voaI+GMt9z1+iqu43ld9jKP\nBfY7cL+fSmTMBpOGSjLrWTnHe5skweXoJRKJ2MDS9KQElSVsbGy075mgEE4PJs10TU2NzQSm02ky\nmYx97QaTbrYwEol4sp9uxrKzs9MGs0ePHrWBbjgcPq020/xrlj916pTtdSkUpr+gxw1M3f/pKVTA\n6Frfm1HhmlBUo2qMQD11b9cXnof4a15nqw0Oj9Jhbz7cOkn3iap7QTqXCzw3KEm6PKYUpj7jeZ5h\nLvMBqGMqP+cRAD7Ex1jBGl5Wt/ukSDnbnm2zmW42zM1wGpMdczMYIVc/KqY7Q4Nr5gDe4LKbbs8N\niekFeiNZemwQdA7MnZaL+Hd0whpzYzWB69kOQIIMCf2LdTkGPKB6W4ZtpjL3u1ZTY4Otb9HMSlT/\nyOv4tL0hnLW4nfn8HDap8bflacec56GHci1DJk3y9qLU9ZN9q1VhnZuFKEcQaRhNBjylrOMPLOPE\n7YMsyLUOcVvGJKgjrXOG3+F+e6P+tT+9DQ5DVnfGCv0Kqh5X05M+A6mb1XSGXMYxSs5kJ6zfM0P0\nBLnzaA1QdbmefzbcqR+E3c3f8mGuBuBfeYIdzmd6jqd5Tt/EN9LsCWDcdk3mXHs+c8mSpUvXCfeS\nzJvNzMdQmyaNFcz5yZ8tNIY2wGk9JhdylV3G1FXewK1MZgp79bJuf+Ummj1qDcNWNtsaS3d/oH4v\n99jM9GquYIk+nHrgxTc+AsCW732Qi6NfIfSAUnI8d9N99uFFC612P6pV1267f/O5F7HY8znd/ZeD\nUh6KjQf1jyAIgiAIgiAIgjDEjPnMpEvojJUjnp10cTOVkqUcfRiZaCaT8WQpQ6GQlZSm02mb9evt\n7SUe17K/eNwjZTXL19bWkslkPFJTU+sYiUSstDWRSFg313A4bLcVCoWora21dZRulrOnpyewNUkq\nlbLZz1gsZo93PFJMNsz/PzXfOv757usM3pNv2lnGPOHrIZe96wZbbXEzX+ZMcrLXc7mANscW3dBC\nq30Ka1zxIPekPVdnmXvCeja/R0xnFzbwmF1/P3v4b3wUgEO8TRu7uZCLAXiJzbwbpfH5Dc/bbGaW\nLAmdW42TsJLHWv0ZzWd2s1ZB39tQMJbdXAvhb+cCaoyYDNIrvOjJpqR1Rm0Z/8HaJa3wC/NOlKkc\nAWA2b3MeR0/b10Sy9OhfMkWKA+y1+2+gydZpHiLKRI4BsJRfEuI8AE5y0jYn38UbLOS7NFyh5JHz\nD87n2bn6SK7NZe+zS5Z424NcfbX+vKvo5Nf2/0O5sj9jyc21P/zyeMCT6THv7eVNzkS5qR7ibTt/\n5aV/zapffZnQQb1yK/AbPf019GhTCg1zHjxA7rxhlB0md5Umd+6YDqSeVdP1//UgK/R47aOPbbwC\nKMlhI1PYoLPhc7mEK3V266+4wzp9bmUzL2tViJuxPMTbTPbVJbvZ/2IchPP9TpKtDEZliHMqGtfh\n3GTw4sTtb/ckj9FBO59juV5/st2WUdb4aaLZOru69ZFm266zrMksvnz0UmYqtb7yQFi/Xh3X+vW8\neP/9vHjTVwC4+Edfpi2lrqNLlr5gZbI7eN3WTzbRbD9Lki7O5QKnNU1XWWsmS1FYjKtgEsoTUJp6\nyVJYOSckAeUoJZPJWMnqqVOnaG9vp6dHFXaYf817TU1Ndh0TwLnGOqFQyNMCxO0Fmc1m7XsTJ060\nbUrcViSpVMrTGqS+vt4GqlVVVbS3t9vlTACczWZtzeV4rpcsFleKCaXXWfqXT/veM6fvDF6TnjY9\nPRF4E/jfXKOPJ8TTWtajzHh2A96Lkh+/3bpZ7igdhPQFdyGLrJQ2SZe1YVe1JlcoUx1gAe+1MrYm\nmvlb1Pn1Wm60fQ4hJ3XtQcnVTB+43P+QwjLXYoP4IEY+rBtZXEmWa8yk6onUTe8u3rDLx0hwyx3f\n5UEu03MmMFs3YUiQtQ8G+uiztZBVVJHS46CKKqYz0/atjBCmV68fJ8tJVFulmZzFKV2nGSJkb/DO\n5QK283ru5m/qT3gE1Sti7TdvYOdtKjhJr1vHCbc35Ze+BEDDV47TG2BIBMN7oz5WDHhK2V+++j4z\nHSNha2STdNlzynGOcdcH7mf1N9WNNpOgTZ8Mpu3G01rEBIy15GSuNaiA0ixX7bwXi0JKb2vV4h7S\n+kFGihTn6Pq1MCGOcMjexB/hENNpscd/hpYjuoZnL/OCpz68mamez+8+sBGGHvc85k6DN+Az17NZ\nzKaJQ1aKnKDOmnK5wahruNTIFGL6d0xqGfK5Ab9nB+32gWr2HbmHGx1grcdqgOTTT5O9S9VyZ8Or\n2bX0rwE4cyswT7XSiRDhNzwPqHFljn86MznAXsdUr3IZ79dYQRAEQRAEQRAEYQCMu8wkVJYpj4vI\nXkc/4XCY3t5eKzM9duyYfS+VStkM4IQJE5gwYQKgJK8mAxmJRAiHwzaz6JrmZLNZK2eNxWJEo+qZ\nbENDg5W8GpdXV2Zrso3uPjs7O22bk1Ao5DHgyec4Ox4oNsvoLlPM/9RQwLTbGsM81UtzetbT/GtO\n1l16uT9jBQAHgR7HFt08YXWbtifpss5xxgXPPFF312lkss0OddBuXUDdDGcH7VbKCvAav/EYvnyJ\nuwGoo54XUVqzrWzmJr5oP2OanHTN725b6vdfqYykm6sf1+XXzUq7+F0DAVawE1Ay54dR1vfc0sLP\nTUP553YS1j0cFnCKj+kMQJgwL1HLXP2Mvpceu/8NRJnCOwG4mGN0akGjOw7NU/+ozjstw+wQFt72\nBS7RT+qPsJ72TdpGcf58x8hprSdD0ciUsmbtKtnNdbicQv3tMNxp44rZRLN1Ep5BK+0cZMVtSsoc\nIczX//MOtbF/g/or9IbboEE7s/IL0ENSOcG+G3hLvTz5KkwyB/NPYEQ9maszVOkMVoaTZHQOaR+7\n2cpmPoFqW3KUDnaxDYCl3GrNpNaSu0dcxkr7nT3IfSzlVo/6YqgykuPZzbU/8pnzGGdX1zQnTpwW\nLrHXvo1s4C6+CUDG0QSdx4VWXfM0G+x107ieu1lPg8pqNtnXppNNFzkn4m6Azk4Sq1cDsJdc1nJr\n3xauvetnAFy8bjUf2/0QAH9Ap/0sa1jBUsdFvZIZl8Gky1C2EBmIvDUfJrCUoHL0EQqFbNB36tQp\n9u/fD6hg0sheu7q66O7WfbzicSt5jcfjRKNRG1y6Mtmqqiob6EWjUVt/WVdXZyWvvb29ZDIZGzSG\nQiGPU6xZJxqN2sA2m83Sqd0Ra2pqROo6AIL+l/rlsIUCIBN2RPDWT6acZcx0lV7uhH49GficvuE5\nD2zLDvD2pDIurbXEiBC2EsQMWStDixK19Y+uTLaFVmvJ3kQzYULWsfEpNthtK3dCNf+HfIfPcoc+\nrgv5c94NwE2oC6978QkKzoutRRWKw9yUNtFsb47cPmp+S/42dntqkpbrBwNrWq5Dx4LQcQ6ZHUqA\nvZsD3MlU/YYKAh/R/36B39Ggpa0JMrafJVR7Aj7DdGbSS9KO0Vp7ewaX8gEbdD7Mpbnb90f/no3X\nfA6AmkhN2XpLBjEa3FxNwDfYYCVI2uqvFwxqbZAm46ml7aOPP3mv6uG45uB9dOqffFoLRCfold8G\nXQ6HLfVVxr1EXs3d0E/uhFCmEYAV9DJRj8NuUjZITNLleUh2hENWAttDNxH9QOAWbrftHBLUeYJL\nM07BO0aLrZkUSidfP8ig+e65DdS18SHdfuhabmSK7jnTR5/9HVtotS1uQMn/zW/ptoI5jwv5+o/V\ng5GVn8yVpGTJXcOrgHRnJ+drLfa2nlz42Td/vq0LfnHLFlbPVw9o550EJmzTx/IkSbroHqHzmLi5\nCoIgCIIgCIIgCMPKuM9MGobCmOfu/frfIc5QrmJl/wsKFYXJBobDYZuBPHz4sJWTJpNJO7+mpsZK\nVuvr64lGozazGY1GPU6rZruZTMY6u9bX19vlU6kU4XCYujrlolldXW1NeyKRiKf/pJmfSqXYt28f\noGSyrgGQcDpGCltMNrJUMuQyb67jaYhc9rIXrzT2OMqYAqBvK1TPUw5xC1nEJfoJazXV9Glh6S/4\nCR+xj/fx9AZMkuR7WgZ0A7fabKSfbrrs03rXNbZb/wH4FJ+z/b0aaIJH1dPWfX93Bbz0EjEts67B\nm40MyjwOxvAIxq+baxD+PpNmOhZgWNPmmDm9wovqzelXcf3NFwLwyDLgP9Tsg/tmwAXqPEIn6ofd\npV5+K/IK/B+dqVn2Mk/tVRrGO+/4Z+uceCWtRJ1sTpS4lbn20mvH7069PKhMg8km/e3i2/gkPwLg\nau3kGiTnHU5Gg5trUCZxKPft37Y733XDjBMnSpw9epDMoJVmndn+1NTr2PDoRWqlTDdUfU1N3wNm\nGFKNylSqZDS3/BC+qRJFhJrgdxmV9/neH4esWViP77PPY4GV3Z7DBbbnqpuxnMVs69qZdqSRy7mX\nX/ELK0l05a6DzUqKtLU0YiSsiiJGwiNzdZ2sk3Qxl0sAmEgDq1gGwCx9DgH4BDewRpeQGFy1j+Hf\n+TkrP/k/ATUU39TzI+Rkrr1Azauv6q68StCx09mG1S8sW0afNunZNmE1521VDtcd8+IexUa+DOxw\nIW6uA6Riaym1rEKCytGJCc5OnjzJiRNKnBiNRq00tba2lkRCW/h3d1NbW2uDy0QiYYPGaDRqayPd\ndh5VVVUeySpg5bC1tbXW6bWmpsYuV11dbQPTEydOMG2aknvs3bt3WL6DsUTI92++993pgQRDbmDp\nrhNCXbDc16b+cNs82GHX38C7dMCXpNvWXlzJItJkCDkXClPT1MhkvqTPMylS9sZvFrNtYGkuvdJj\nZgAAHZ9JREFUxuYmageveazLXbfDc/UyaTKwWDnfcQWqncOmTfq9nESo0KUr6LsslsoM6yqDfDVI\nTU4bBHVzq27W5n7mJmo+o8bSUuDhnQ+oFer2qY7doHo4dINWMEKoB67WN9jhfTA1Z9HvEtEjYRuv\ncD5zrfw6S9bW77rOi8/xtB17TTTzGX2Ma/gO81hgW42YgMH9vMPBeHNzzbdvf82fG+S6rsIu+9jN\nTM4ClEP0uxer3z5CA/f8X73QcXL2z2ej+iXpGO69wGHdnoGX4J3aiHgpu+043s7rnlY4s5htj6eG\narvcdGba8bZRSw0BPsOXWU6uxtPdVq+thhPKjd/Z1UWdx1Sw2MZuu9xm/pNl+lq3lc12PB5gL42O\n27X7Gzcy2bbzuJ6b2adbX+0i9+A3DTTq6ROoB71mWHaRe/CbdKZDmzaRnKQqfk9ccQXZr6hr45+z\nkhqq+Z0OQQt9zpFGrrGCIAiCIAiCIAhCyUhmMg9ultLQX7ZyKOWtwtgjFApZl9be3l4OHlT9jqqr\nq60staamhvr6emvAM2HCBJuBjEajNvOYTCbp7VX92Y4dO2YzkaZPpZG9un0ra2tr7fyenh6bsYzH\n40yerDIFzc3NthelUJh8MtcggrKVpeDKWo2UNsgNNgS6m5/K9r2mswUJYOpDSwGYe+MXOZcLPNJU\nw372MIt5eltpjzOs61ToZhVcWZHbVNklSpSv8ksAmjZsors+12fSuLua48/HaLMiqyQ312LwP/Hu\noN1j4GTkVuf6ll1xjuqVVkM19zyqf6XsbVBHbjBWvQBnaxeKo1+Eg7vs+maMRYlb05MWWtnDLs5G\nyb2qqLIyNtVLNXdc5lg+xecI6RF0J/dxF5+3TeiDPt9wUsluroaBmu/kk9K62/NnKfNlLd1zRRPN\nTiY6Y428AJb/4b12es1Dqi8kMy6H7VjXnU8nyNm57gfq1BjrYIWnCbzZf85URV37UqSszHo/ewLH\n2Ats4kI+DMA+fsMcLuJVfq0/c2LQ8tag9UXyOnD8WfBuuvOaj8X1762Mx9QyN3ArtcSsEdi/83M7\nLg7xNj/YchsAy+fnrmeQM8fLoFRDR/XrenKJ9Spyp0eA0Pr1gL6W61PlvX9zLSu+9LiVUB9gr2dc\nVhISTJZAf86vw1Ez6dkuqwKDXGH04QaW6XSaI0dUfUc4HCaZTHrcXM10bW2tDSCnTp1qA9BsNktD\ngxJSGMdXE4BmMhm7PuTkr+l02tOOxOw/Ho8TiUTE0bUIBuoqOpCaP9chzi+zTeMNJl1XOTN9HGi/\n8XK7vd/2beZfqu8HlPX9X/ANAJ7lNXuBfR8f8tTTmWBiB68xi9mem3u3ttK1aP8b3SbkT7jdXsQ/\nVr+O9SzRwlp1ge1vtLm1qOLmWh7cm2jzW5v57g2NqUPbyW7uXKxqKVPcy5p7roNWbWtf//ncIH0P\nsFG5dv47HTzHrwA1jt6BunjWEiNGwtZJRok6kutcDVHSV7tbp2VnjzCRFaxhn8/NsVyMFjfXYrbl\n326+9Yqdn8/x1V3OdUZ1p3tJsvxGNV6quJ+v81H4pXrgwBnAg3rBmovgmbMBaJl/e14HUHBrxkN2\n2h3j7vltA4+xYd1jAMz4FHSErrMP2QoFzS6F6lrzfTfC4DC/dRPY9kH+MWGub3HitkZyO68zn8tV\nmQZqLJjf6Dme5vr5/6C39Uek5swBIPrqq/ZUF0W5sJsAcgq5azJ4r2nZJUsASL/rXYQu/Ip642b1\nYMOV8rvtvoYbcXMVBEEQBEEQBEEQhhXJTA6ASjXqEUYvJkuYyWQ4fvy4nd/T02OlqQ0NDTabefDg\nQSbpgu0JEybYvpLRaJRIJGKlrdXV1TbLmMlkPEY9yaQyDDCusmb5RCLhOQYhmMFkyortP5lvGTdT\n5z+Jm/kZcg2S3b6UANOq4WbU08+vArWzrgHg7h21Nht01LqpYI0xAJq4gOd42mYg3X5+RziknFtR\nTb1v4Xa73kaeBKCNa9jbB2doc5Ze5zMUk88RN9fy4fadzPe+yVo2MsXKFHtJsuyrP6SWhQBU82FW\nP6rWueWM23jwHT8FIMYimxUPEbaum1VUESdu3TN76PEYYZgn9S20cj03A5AgwY/4PgCH+DJ11Nms\nURu7836GoWQ0uLkWw1A4vvaXXQvqxRi032667Tmllpg1ujlKN8v5Z3r/QN2PpZnBtx5Vyh2yU6BT\nOVY/x9PWjfVxHuIyPggoBUUbu60SI07cOgMn6bJjzDUYm8sCXj6lro3/cWIb7+RuLtPGZjO4qqjM\nYjHfp0hbhxa/nBogRqunj67BHZdx4rzOVo/BnHFC/xvuZrFeLwqc1Ov3zJlDj743q960iQi5a/Lv\nsApWz/wIwO7dAFy8aR38QM2/sO1ZHuYBFjnu6+VE3FzLSH/SV0EoBuOsCkp2al53d3fbOslQKGSn\nDx48SHOzOilOmjTJSl6NE6wrbTXBZCqVsoFjMpmks1MVm5w8edLjGNvT04PQP0FOq6WuO1D89YNB\n9YTuxcqtSwQluzGh4iHgtzuUJOz8a3dx/eOq18MeHuK/8wm9rYi96Wpjt3V0BTiXZltrtIHHbQsJ\n4x4Lqh6uTdvuX8Y9nF2dk/v0kbvAFrqFGsx3NvrDupHB3y7EP7+JZk9D7aNWRKaWN7U+KVLEFqtr\n5IOP/hPobV3KUWq0p+Gr/No2C8+SoYlmuvRyIUJ2nw002Tq3/ewhrEdGhgyLuBaACRxhF1Gm61He\nQquVS7rHONSMZzfXfAQFje57hrj+4742mN/MbS3SRDNH6bDLRdjHysWq3GPVuknQ/mUArqGV53kG\n8Lb5iBInSZd9UJYiZWvjpjPTSlvNeQvgev6Il+NvAfDOf/saK1hPVjsGP8WTzgOPKYGfpRRpcdB3\nJAwdrjOqv+WGefBkgk3z4DRJFz/kOwDMYwF3cQ4Ad06G3736KuBt1dUDzCD3IPcUuWtcFbkWIiev\nuIKodjdnFbYA85VHauH63DG3sduO33K2CCkGCSaHCDdbaVp5DAWmXlIYP7iBpclEgjLaMcHkiRMn\nOHxYVZ3NmTPHthZJp9NkMhmbzZw0aZINGg8fPmwDxWPHjtk2JZlMhr/8y78E4IknnmDnTrcTktAf\n5Q4kg7aRrzelu1zKma4mV/zfRe5C0Pv42dS+pV+8Ixc0fIiP8D4+BMBxjtFNt6cXm7n5mccCHuch\nAP6MlbZvW5hm7kTVaMaIUcevbDB5lPxBZKkZ3EpitBnw9Ee+wNLg3ugbTBZpK5tZqM1w4ov/lSNc\n6WwrN3ayupdIGztp4RwbKAK2njJLxmZAt7LZZrxv4PMk9DHexTRW8zYndJbd7X9aDkaDAc9AKFSX\nmS8YyldLaOa7gVYxtYL++ld3n8e01cndS17n7uWfB+ABXuBGVFuiNnazVt+fzWUBLbR6VBXmnNZC\nKx9kkd2fWeZOZkNMPySbq/4xbWeu5Coy+ox1hMOB31NQJrbUzy8MDfkCSDi9Rtw8WLiE93taYi3n\nN2qhNaqHJMCLN2NHaPqMM+jav98qhHrIXdPqyF33mjdton3LFgD6ovNzvVQ/PR3IZVObnH6YlYY8\nsBUEQRAEQRAEQRBKRjKTglDhmOxkNpulq0s9STt+/LjNLEajUc47Tznabd++3SNTPf/889m2bRsA\nBw4csOsfPnyYjg4lHaqqqrLThw4dEpnrKMbviupm9qryzI+Sy/rtA3a+Q02fw5NcwisA9NHHz/gR\nAC+zmVlcwA5eB+DrPMCdWtK6iOu4ja8BsJrbaOFMAD7LHbYe7i6mcTtKDgSqoXOnc1z52qiIm2vl\nYDI1bjayUENtt50HwFPaLbGLh/mYFoEd56TNZDbQRIouYjpT822a+COdAeqh22aXGmnmj1H2/Bmy\nfEPLX1n2LjJr/81Kri/iMvaQa0cy3O6uo8HNdbDbLeTy6s+4ueRrG5JP2llI/uq+dtdJUMeyNT8E\nYG3sBtYklW6whUPWqdOMgSlMA1Rt5Ue1pjBGjL06SzmL2XYfG2It3P4xtY/7jqt2OO/UUse3MZIO\nL4WccfO9JxnK4cevrgiS8RtMZvAAe7mUD9h5a1gBwJoQZN9Qy4bIXYdn7d/PKdAjTJV0xLSp+s5n\nc8v1ARffOB+A4/8P+PTz+p1LWc69VGvFxiHetlnTcjhUl6KwkGByGFjFykFLXV15q7QDEUAFladO\nKXHiW2+9ZQ143nzzTeZoW+pUKkVHR4dtDfLGG2/YvpEzZ860vSVfeuklduzYASiTn+9///tl/Sxj\ngUoMbvLJXwstlyH3WWLO/Ne4itm6bcNXedHWo13JIjpo5yptCvBbXrUGARt4jHO1FGcR1/FuLgXg\nILV8CSU7+wKwG+ztUgJvz8wgBttjUgx4hoduugNvakxgaW6O3drKJF0s1BLCDv6OsDbQqaeeLuc7\nqyLBIS2GvoCHCWvjlA7arWnPX3EHT2v56/MsBX4CwNy1n+Rx1FgFOMnxfs2EhoKxYsDjUihgLHa9\nYrft7wHpX65QH0Y3GNvGKzlpavKf+bqua1zIVTyJau1xhHaWsdI+ZGiimZ/zCAD/g2ustHEjG0Cf\nB/ne2dynT1LmQdlxjtljMUZBbi1nvuMOYjh+P6F03L7J/temdMNzHrkJ2vQwmHhfrkayA3jn5WDU\nsK/1wBnPqukMuZYh81pVcAkw6+93AbqtDWfyCi/aa+oUpnl6Yw43pTwUG/tXO0EQBEEQBEEQBGHI\nkczkMLEKlU0cbIZSspKCSySintR3dnZy4MABALZs2WLlq6FQiNraWurrlYthW1ubNeP5+Mc/bluI\n7Ny5k71799plhNKppIxkqYTJGfK400fJZSdPAfxUSXpSn/iGdTrczusk6eJhHrDbM3LERppJ6Mbx\n87mce9apJvY7l/y+9TnsQJkPGAOeQ/T/VHOw37U8NS0vMRIeCWxcO2cCzKCV53gaUBLCpM7CrGMq\nH9Q+iNPoIEsvnfwWgPfzYf5FZ32SPGbH3kd5iEt0ZijJAj7K7wBo11lMk+FpY7entchwMd7dXIt1\nLTXLFJJ5Bm3Db1LjLtdBu5UjvsxuPqCzkdVUM5WXAZjERTTpsXeEdibSYNd/Px9mFTMAaOL7OiMJ\n8AT8lzoP1r3nx9yBMr7roostPMtc5tvj6bVWK8HH7J/Ol+kVN9eRxS95DZKWbuRJlun7/LWsYsZE\nJU3NPn8p2muMtw4DJ+AtnYI8G5jwj2p6z+wt8LOfAXD886v58zolv76b9ezSZSMdtLOD12yW/Cqu\nq1gJtASTw8xAJK+rWMmqM4bpgIQxQSQS4a23VI1GOp22fSHr6upoamqyrT5isRjz56uL3TPPPMNT\nTz0FqNpKCSLHLxlyJ/9TznSEXJBXA/xWdQbh/B98nwtvUo6/13AFKVL2Zusv+AaHddDwIPcR0aHb\nPf/wPnYuUTbmtcAOvd2kfm3qRUxbEDi95tPFlRUPpB1LuRlrbq6l4kpg3WAuTcba23fTzb/yBACf\n5hpHHhpnI3W8R8u99lHH7+sbutVsZgVrAPgOUf5T9zK9lhtp56BeO+7pIdhCa1klhKPBzbW/Gsv+\nvq9CN7XF1P8FSVqL+Y0K1VOa39ttXdTJEa5GXeu+tfCzLN34a0DJWlexzAYEadIs00Hnk45TNY1z\nWP0e1Q6ij7fp0I6x23XNeE9AQFhIpivB4ejCrQV3p+exwI6BFs6kTZd0hJ7YRfYL6rzVtBLYia54\nVO6tfSpm5Czm06BDg9AzP+YWXd+9i202mN3Ba8RIePrlVirywFYQBEEQBEEQBEEoGclMloFiJa9m\nOUEohnRa5XEOHDhAMqnkNfX19UyePJmGBtW8OZVK2T6TVVVVbNy4EYA9e/YEbFEYT5i8mf8iYCSv\nE8gZCbxy0zbmzFkCQOhzu1BeOsrFsJtfW+OJ1XyHu36kGtVv+18LPNs1mcUEKgM50TmOUvyDB2vG\nI5SfRqZYyasrFWui2WZxVvJF67T5Dt7H5bSTQMnyz6SLndooZSVrWaUzmy38IUv4it3eTp0pgCnE\nSFip41E6ypoRGg1urv1lJYvJphWScBY7PZisnV/26jdOAWhkss0gLd34TSuRnsqPOItbWMungje+\nULv/bvwt27TMcCZnUasLAVpotec9UE6fJoPkNxMyn0uykqMb99zlTs9iNm3amIe/OpuQNgLjB9eQ\nPQ8Ovle97COnvrn4JxDSF7OF1/6QB7XSZzn32t6ll/FBknRZVUc33YE9foeLUhQWIdMEvegVQtOz\ncEupxySMCR4kmz0w7OqyUCiUraqS5xwDIZ1OE41GbW1lOBy2rUUymYwNOiuVVCpFNpsd9jE2JxTK\n/jRgfinyyUp0c4WBHZfrpmoudlXk5Dl9wIklKpicuG4dGWC6fq8bdJUkvA5cpKe3o6SyAL2gq+Fy\n+yskaS3EQL93c1n8OPBqGcZYc2ha9hPcMNy7GTW4zojuDZG5Ae+g3d7oN9LMEdqtY+aNfJFDvG3X\nMTfq23ndOh36b9QbaOIoHcP0aYIxx7WO79KefbssY2wJnz1t/ngIWgo5u7pyRCWETTjLqLE3kQb2\nUcdMTgKQJcsxLWGtZyK1WoCfJUtS10K2c9Du1wSVQXWS7rEM5DMVIy0u1xhrCk3JGudu4fSWIqDO\naeZh2cu8kAssA1iq6yEf5gHm2odirVzIxQA2kDT7Kodraz6e5DE6soeKGmMicxUEQRAEQRAEQRBK\nRtI/gjCGiEQi9PX10dfXN9KHMuaptIykIei4gjKuriYl7MwzBjwpcpnJMFC1bh2gsoopsM9Pk3/6\np9R++9uAMtMxLXJjoJ/5qwuN2W4fg5OqGgOeUpCnpiOPm4E0T9uPcIg250m/eWrfxm5iJGzWcTW3\n2d6S3XTZTFMLrZ4szmS9D8CaQpWT8e7mmo98GbdiXEv7c3bN54LqXU6NlwxZm1F8k+1s5EkWauvN\nsziXtboU6S6+ac2caonZbFGMhHWrTpHyZCXzfTb/8RXzOcXNtXLJ11fXMIvZdrqbbo7QbuX7j/OP\nbGUzoIzr9mlDnRm02vPVdGYS0lfrIxwuq6x1MEgwKQiCMMYJCjDdedmA+VUoeaqZNpfQNN7grPbb\n36b3Ix9R0+vX2wDSrAcqkDylpzOcHtyWKl2t1EDeZby7ufoxN8WuzLWRKXa6iWa7TAutxEhY98Jl\nrORZ3dKhhVYrKTPrQU52CMGBpL8B+XAyFtxc/cv69xPkWNpf24L+HGCD8NdZ5lu+UDBmpK21xKz0\nOUaCRSy2y73FfusS3EcfUb2NrHN2nEwzXbaSPLd9/zHlCyCLdakVRheNTCFmg75me45xH6ABXMun\naWQKANt5zU4fpt2en9yWSqMJeWArCIIgCIIgCIIglIxkJgVBEMY4A+nLmCV3gUj75rtUAdXr1wNe\nt7oIuaeVKfKT9U2PhqyjMDj8jq7glb/6TXq66ba9Kd3lSnHKLKeRxWh3c8233WKzkYN1cy1mutBn\nKOSm6u7fdWMNEbJZyKN02OXcHqmHaS9oklPsPIP0nRwb+KWoTY7c3v+eea368HbZeW5P3pE03XEp\nRWEhwaQgCMIYp78AzbwfJHc104WkqGZetW9exve+S759Bc33B7ClBpwZyi/DGQmp42jGfwMVIxF4\nUxXzOHNW1o24CTRG6rfvzw10IOQL3oKC+JGa7u91UMAbJ35azWOQnNety3XfDwqsC70uhUob10L/\nFAoAjZw1yMXav26lBJJQ2kMxCSYFQRDGOG7Gr1D2zz+/mPYd/qDTv99875USEAZtt5jPY5CwrnIp\n9sZ5NNxgiwFP5eAG1sV8LwPpeTkQQ6Gg/ZWyT6EyKWSUM1pMdAaDXGMFQRAEQRAEQRCEkpHMpCAI\nwhinUPaw2PUMpTivDqROs791Rktdpbi5jl/GmpvrUFJMzWTQ8oZyZbILucu67wdJiwtlLPORT5Yr\n2UphNCDBpCAIglA0AwnkCsldS922qd8MOa8FoZIYSwY8/e2vGKOdYvZbTDsNf83icNWG5jvOUmpG\ng2S2hdqZ+PdTTAAqCMNJKQ/FROYqCIIgCIIgCIIglIxkJgVBEMYZ+aSiwyUhHY5tFpvtBHFzFcrD\nWHRzzUcpbq79bWMg84cjszrU23Zf+7fdX2ZV5K3CSCNuroIgCEJeinVzHWny1Wf216rEj4R1QjkQ\nN9f+GeqAd6Db89dsDiWFZL7lDPgFoVzINVYQBEEQBEEQBEEoGclMCoIgCBWJm3UsRdZaCYib6/hF\n3FwHts8g05lCctHBmtTk2/Zgt1dsz8pCctigYxSESkWCSUEQBGHUMRoCSmF8Mp7cXP3zgrZdjMtr\nsQGYfxm/w2t/+y9Ef8FgUJuS/txs/esV6+wqbq7CSCNuroIgCIIgCIIgCMKwIplJQRCEAVCKAYww\neAp9z/39FuLmKhTDYM1RxqOba3/z/POL6SdZynZKXS8fxbjSFtt70p0OykCa9+P6j/vaTIu8VRhp\nxM1VEARhmJEgsry4t+eligglrBOKYbA38OLmOnAGWsNZqrS13G6qxdZ2jkQNqyAMFXKNFQRBEARB\nEARBEEpGMpOCIAhCxePmesK+15IlFioJcXMtjmIkqn6KySyOtHmN/7sNOtagYxQ3V2G0IplJQRAE\noSLJ4m0JYhgNTTekNcj4w62BG4l9l8JoCVL8rqimnjBfMDZYuexg5rv7728sdPv+uPMEYbQhmUlB\nEAShIhmqjKMY8AhjnUJtN0Yz/RnclGKWM9zzB5JpHYp1BWGkkaudIAiCIAiCIAiCUDKSmRQEQdBI\n7d3YRJ6aCuVgJN1cK6EGUhCEsUMp6hq5xgqCIGiC6vMKLZuvpk8QpGZy/DJaDHhKpVCd4FDML+U4\nK32fAyEe8Ccfcn4RhptSxpgEk4IgCIIgCIIgCELJSDApCMK4JCirWIrMNVTi8sLIEkJ+M2HsMlxu\nru523XVcsx8z382mFTu/0LaLmT+QfQYZFQ30WPJt26XY7GUpbq5i8CVUElIzKQjCuESCivGDuLkK\n5cAEDCP12w+Hm+tA3UzLNX8k9jlUx+KSL2itBJJ0ARAjMcJHIlQqcrUTBEEQBEEQBEEQSkYyk4Ig\njEuMxHUoMpRDuS0hx1B9r/LUVCgHI+Hm6kosKy2jJRRPJf92kpEU+kOusYIgjEsi+i8MzJnVXd6t\nxROH16HH//vk+738r8OM3EUuQ4YGmmigaYSOQCgHQc6b5ZK5+vfjHke+aXfZoHWLnR+0jYHMH+tu\nsIW+z2K+66Fyih0oItcfv0hrEEEQBEEQBEEQBGFYEZmrIAjjEiNEG0gWsVBGTKSuw0O+7zXrvBfy\nzXfFhiNhwNNL0r4eDnMUYfhI0lWyvM/8xuWSuWbIWHMUV+aaL7PVX3ZyIPOHYhuj+VgGkp0sZX33\nfFFLzHNOKRdBBjz5/n+48wfyf0gYOoK+//7MlNz5pZzHJJgUBGHc4QYdEXJBR5jgAKRQUFLs6TZo\nW0H7HMj8QtuupH2Wcizg/Z3yfe/hgHlm3aD3yiVBDhOmg3YAmmi286W2rXJxb+BLvQnupntEJIlm\nbNUSG/S2goJRYfCY38YfCJYaHB6lw8rmyyU/dQOKYoJD930JJEeWGInTfrP+gkgTbJaKyFwFQRAE\nQRAEQRCEkpFgUhCEcYebnUqTM3PJ+JbJcHrWrFAmMp9RjFkvKDvm32ex8wttu5j5A9mnO38g+yzl\n82c5/fuEXLYyyFwn68w3GU//33LhPtHvoN3z1zDQp8AuSboCt5Nv26XML7TtUuePxLGUus98TeML\nZercdczvmyaVd/mhxB1jboar2/fHne+fDvrM/nULTRfadjHTxe5nNO+/lyS9JE/7ns28fD0rTbbb\nNeU5SgdH6SirY3AjU2hkis10FcpQSjZyZPF//zES9m/Qsmb+EQ5xhEOe+dkSxlgomy1N9BMKhdqB\nPSWtJIwVzsxms839LzY4ZIyNa2SMCcONjDFhuJExJgw3MsaE4aboMVZyMCkIgiAIgiAIgiAIInMV\nBEEQBEEQBEEQSkaCSUEQBEEQBEEQBKFkJJgUBEEQBEEQBEEQSkaCSUEQBEEQBEEQBKFkJJgUBEEQ\nBEEQBEEQSkaCSUEQBEEQBEEQBKFkJJgUBEEQBEEQBEEQSkaCSUEQBEEQBEEQBKFkJJgUBEEQBEEQ\nBEEQSub/A+SAk9dCQcdyAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f19c2dc92b0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"N = 0\n",
"groundtruth = labels[j, ...]\n",
"multilab = 0*groundtruth[:,:,0]+groundtruth[:,:,1]+2*groundtruth[:,:,2]+3*groundtruth[:,:,3]\n",
"print (groundtruth.shape)\n",
"\n",
"examples = [0,1,2,3]\n",
"\n",
"plt.figure(figsize=(16,4))\n",
"plt.suptitle(\"One hot encoding: result of prediction\", fontsize= 22 )\n",
"\n",
"plt.subplot(161, xticks=[], yticks=[])\n",
"plt.title(\"multilabel groundtruth\")\n",
"plt.imshow(multilab, vmin= 0,vmax = 3, interpolation='nearest', cmap=plt.cm.jet)\n",
"\n",
"plt.subplot(162, xticks=[], yticks=[])\n",
"plt.title(\"greyscaled\")\n",
"plt.imshow(xdata[j,:,:,0], interpolation='nearest', cmap=plt.cm.gray)\n",
"\n",
"for l, lab in enumerate(semantic_labels):\n",
" plt.subplot(1,6,l+1+2, xticks=[], yticks=[])\n",
" plt.title(str(new_preds[N,:,:,l].max())[:4])\n",
" #plt.colorbar()\n",
" plt.imshow(new_preds[N,:,:,l], vmin=-0.05,vmax = 1.1, interpolation='nearest', cmap=plt.cm.spectral)\n"
]
},
{
"attachments": {
"grey0044126.png": {
"image/png": "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"
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"## Try to predict on an image\n",
" Take an image which is not is the training/ testing dataset and try to predict the labels\n",
" \n",
"![grey0044126.png](attachment:grey0044126.png)\n",
"\n",
"The image resolution is decreased by 2 by skipping one pixel on 2."
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(210, 211) 255 uint8\n",
"(105, 106) 239 uint8\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f19c3d610f0>"
]
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA6gAAADxCAYAAADGKJqKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsvXucbGdV5/1dXbfuPqfPOclJPOQmgYhIyDtGDaADIhov\nEKJ4QQZEJIATeQfwPgLKkIAygjMI8VXRCAxB7iAIMijwoshFZbgkQSByiwnJSchJcnIufbqrqqt6\nzR97r91P7a6+V3dVd/++n099qvbez977qe5a+3nWs27m7gghhBBCCCGEEMNmbNgdEEIIIYQQQggh\nQAqqEEIIIYQQQogRQQqqEEIIIYQQQoiRQAqqEEIIIYQQQoiRQAqqEEIIIYQQQoiRQAqqEEIIIYQQ\nQoiRQAqqEEIIIcQaMLPfM7N7zOybZvatZjZtZpVh90uIYWNmt5jZD2/yPa4ws09s5j12Gmb2t2b2\n9GH3Y7VIQR1hzOxqM3tT/vl8M3Mzqw65T+t+8GgQF2L1mNlHzewXt/rcQZE+v9Z5/rYaTMVgMbOf\nM7PP5GPGnfnv4VGrPHfZccrMHmNmt2+gb98K/AZwobvfz92/4e573b2bH19R/szsh8zsc2Z2wsxu\nNrMrS8efZ2b/nh//zBq+u+XK82EzO5735aHJ8dPN7O1mdm+uYL/ZzPat/a8ghoWZPdnMPmVmp8zs\nSP75v5iZDbtvZTY6DuTXGIn57zBZ65je7+/u7o9z9+sG37vNQQrqFpAPlrP5QBuvs4fdr82mPEko\nD+JCJLJx0syOmdk/mdmzzUzPpl3EThhMxeAws18HXg38d+AQ8K3AnwJPGGa/Er4VuNfdj6znZDOr\nAe8B/hzYD/wn4A/N7Dvz448AXg48MT/+OuA9q1zc/VngmcD3A6cD/wz8ZXL894DTgAcAF5D9fa9e\nz/cQW4+Z/QZwDfA/gPuR/f+eDTwSqC9xzsgaBfIFFY33YhH6UWwdP54rZ/G6Y7NutJtXmcS25Mfd\nfQq4P9mk7PlkEzKxBeh5IUYJM9sPvBR4jru/291Pufucu/+Nu//XvM0bzOz3knMKi6iZ/SWZAvk3\n+WLwb5Wuvwf4W+DsdMHYzBpm9mozuyN/vdrMGn3698PAh5Pz35BaeMzsZWTK4R/nx/+4z9c8HdgH\n/KVnfBq4CbgwP34+8EV3/6y7O/BG4AzgW8ysbmY3mNnz8v5UzOyTZvbi/NwHAJ9w95vzxeA3JdeN\n43/t7ifc/TiZovxQxMiTyMZ/cfd3ufvJ/Pdzvbs/1d1bebs3mNlrzOwDZnYK+EEz229mbzSzu83s\nVjN7USiG5QXCssUyt979bv47O2lmHzKzM5L2T8uvea+Z/U6y/7HAbwP/KZeFG5PrvczMPgnMAA8s\nGzRKffpY/n4sv873Je3+p5ndZ5m3weOW+ds93zKvgpNm9mUzuzTfP2ZmLzCzr+f9f4eZnZ6c9wvJ\nd/tvaT/zPr7TzN6UX/dfzezbzeyFllm2bzOzH03/f2b2Oss8Qg5b5ulQyY9dYWaf6Pd9lnqmmNk1\n+T1OmNlnzez7V/F3/8Xke78o/25H8t/G/tL//+lm9g3LPC2K/+tWIQV1iFgfN6OykK7hWrfkAvh5\n4FQ+UJ5tZn+VP5D+3cx+OWn/cMvchk6Y2V1m9ofJsZ8wsy9aZtH6qJk9ZIl7rmmS0Oehd7aZvc/M\njprZ18zsPyfXujp/ULwxF/wvmtkla/27iO2Dux939/eRWROebmYXQfFQX2pgvdXMvif//NT89/XQ\nfPtZZvbX+edV/54s41X5Q/tEPuhEXx5vZtfn+28zs6uT8+L3/Yz82H2WWYMfZmafz+Xpj5P2V1g2\n4P+xZa54/2b5oLlEv55pZjfl1/2gmd0/OfYj+fnH83ss6eqV/y3eZdmgegK4wpYZpM1sPG97b/4d\nPm1mh/JjS8pw6Z5LPutshwymYmB8HzBOpjitGXd/GvANFhaF/6B0/BTwOOCO0oLx7wDfC1wMfCfw\ncOBFfa7//5fOv6J0/HeAjwPPzY8/t8817gLeCjzDMgXz+8gW6CKm7m+Bipk9wrIJ7DOBG4Bvunsb\n+HngpZaNzS8AKsDL8nPfBlxg2US5Bjwd+Lvk9n8CXG5mp5nZacDP5PcTo8/3AQ3gvato+3Nkv4kp\nst/V/0dmjX8g8APALwDPWMO9fy5v/y1kltrfBDCzC4HXAE8DzgYOAucCuPvfkXlBvD2Xhe9Mrvc0\n4Mq8f7eucO9H5+8H8uv8c779CODLZIs3fwC8zmyxm7OZPRh4LvCwfDH8x4Bb8sPPA36S7G9yNnAf\nmYzEd/tT4KnAWWR/v3NKl/9xMg+F04DrgQ+S6VbnkC0m/HnS9g1AB/g24LuAHwVSt92+32eZZ8qn\nyZ5XpwNvAd5pZuMr/N2DK/LXD5L9JvYC5cW0RwEPBi4FXmxL6AKbhRTUncVTgMcDB4B54G+AG8kE\n5VLgV83sx/K21wDXuPs+MjefdwCY2beTDZy/CpwJfIBMyezrOrIUK00Sct4G3E72UHgi8N/N7IeS\n4z+RtzkAvI/FwiN2IO7+f8h+F9+f71puYP1H4DH55x8AbmZhMPuB/Hiw2t/Tj+bX+Pb8vk8C7s2P\nncrvf4BM1v5fM/vJ0vmPAB5Epmi/mmzi+8NkVoonmdkPlNp+nWxAugp4tyWrt4GZPYFMiftpMrn8\nOJmcYtlK9rvJJtNn5Nd75BLfLXgC8K78e7yZZQZpsgnufuA8ssnHs4HZ/NhKMrwiO2UwFQPjIHCP\nu3e2+L5PBV7q7kfc/W7gJWST6M3ircCLgRaZPP+Ou9+WHzsJ/BWZYtEiezZcmVtTcfcvkLnq/jWZ\novC0JHTmzvy8L5PJ6c8Cv5bc93NkCsa9+atLNgkXo88ZlGTDsrCYY5aFyjw6afted/+ku88Dc8CT\ngRfmVtdbgFeytt/3/3L3r7j7LNl88eJ8/xOB97v7x3IL7n8jm3+uxBvc/Yvu3nH3uTX0I+VWd/+L\n/Ld/HZkSeahPuy6ZYn+hmdXc/RZ3/3p+7Nlksnd73v+rgSdaZkh5IvA37v6JfGHoxYCXrv1xd/9g\n/j95J9n4/PL8O70NON/MDuSLupcBv5p7hRwBXkX2f1nr9wHA3d/k7vfmf8NX5t/xwav6y2XPuz/M\nPS2mgRcCT7Zej6qXuPusu99Ipkv0G5s3DSmoW8df5w+RY5ZbdTaBP3L32/IHyMOAM939pe7edveb\ngb9gQRjmgG8zszPcfdrd/yXf/5+A/+3uH84F7H8CE8B/HGRHzew8skn089296e43AK8lm/wHn3D3\nD+TC+pdssXCIoXIHcHpuPVhuYP1HMqUKMoX295PtsoK62t/THNmq7ncA5u43ufudAO7+UXf/V3ef\nd/fPk00yf6B0/u/mv+kPkSm0b80nvYfJJqLflbQ9ArzaMxfGt5NNKh/fp0/PBn4/70uHTKG7OLei\nXkbmDviuXGZfDXxzie8W/LO7/3X+PWZZfpCeI1Mavs3du565HZ5YpQwPipEfTMXAuBc4w7be9fxs\nei05t+b7Bo6ZfQfZ5PUXyJTFhwK/ZWYh+88iW4R7aH7854H3W2/uiuvIrK4fcPevJvtfTDb+n0dm\niX4J8PdmNpkffwfwFbJn3D6yBa0NJbERW8Yi2XD3/+juB/Jj6Zz+tuTzGUCNxb/vsjVwOdIxZYZs\nkRAyGSnulXso3MvK3LZyk9X3yd1n8o97y43c/WtkRpergSNm9rZElu5PFt99zMyOkbnad8kUw/J3\nm2Hxd7sr+TxLtoDQTbajT/cn+x/cmdzrz8ks0mv6PoGZ/WbuVXU8v95+sv/1auj3vKvSqxAv9T/f\nEqSgbh0/6e4H8lfZ4jIoUoG/P1mMzLFEGH6bhR/fs8gsRP+Wu+xdnu/v+dHmq2+3sbYH2Wo4Gzjq\n7ieTfeUHZlk4xocwaRHD4RzgKCsPrP8IfL+ZnUXm5vYO4JFmdj7Zw/qG5LxV/Z7c/e/JrHN/QjaY\nXWt5lsvc5e4fLHM3Pk6m2JUHhPKAVd5OH/KHwyqSfLd+k+L7A9cksnyUzI33HBYPos7Kg3/5+HKD\n9F+SuS29zbLYvD/IXQdXI8ODYuQHUzEw/pnMarjcOHkKmEy271c6XrZylOl3/A4yOQi+Nd+3Hla6\n/0XAV3LLy7y7fxn432Suw5BZp96fW6zmcy+DO+ldKP5T4P3Aj1lvht+LybwRbs8tK28gcz+8MDn+\n57kVZxr4M7JFLjH6hGysJllY+hu8h2yhsfz7Ppx/XkmeluNOssUQAPKFkINL9GOp/q3Uh5XkaUXc\n/S3u/iiyv4EDr8gP3QY8LpmfH3D38XxB+U5yd2UAM5ug97uthdvI/ndnJPfZ5+6rjf/u+RtYFm/6\nW2QeXqflixTHWQjvWelv1u9516F3vjJUpKAOlx6BzK1FZ27geukP8jbg30tCN+XulwG4+1fd/Slk\nqzevAN5lWfKInh9t7s9/HgsPsiX7z9omCWEhm0r2pQ9MsUsxs4eRKTmfYIWBNV8ZnSFzUf2Yu58g\nU1SuJLOYrsbVaBHu/kfu/j1kk7pvB/5rfugtZO7B57n7frLJ3UZS+59TiplZalJ8G/BLJXmecPd/\nYvEEwdLtJSjL5pKDdG7dfYm7X0g2Qb6czPKzFhle6Vm37QdTMRg8S9zzYuBPzOwnzWzSzGpm9jgz\ni1CRG4DLLCuZcj8y60jKXWSu4EtxF3Aw4phz3gq8yMzOzN3mX8z6LYsr3f964EGWlZoxM7uATK4+\nnx//NPB4M3tgfvxHyJ5DX4AsKQ3wPWRu778MXGdme5Nzf9bMDlkWu/00skW+ryXHf9HMJvIJ95XJ\nfcUI4+7HyCzif2pmTzSzqfx/fDGwZ5nzumSLty/Lz7k/8Oss/L5vAB5tWSnA/WQeKqvlXWQxzY/K\nQ8FeSq9ucReZm+tK+sYNZF4xNcvyQzwxOXY3mdvwcjK1JGb24FzWGkCTbKE45gZ/RvZ3uX/e9sw8\npCa+24+b2X/Mv9vVrHO8z72wPgS80sz25f+3C6w35Gc5ys+UKbIx8G6galmStH2l9sv93d8K/JqZ\nPSB/dkSYzVaHViyJFNTh8hUyK87jc4vEi8h8yAfB/wFOWpY4acKyRAwX5ZN/zOznzezMfAJ/LD9n\nnuwh9ngzuzTv02+Qrfr8U597rHuS4FmszT8Bv29ZEpb/QGbVlavRLiV/aF9O5vr2ptyVdqWBFTIr\n6nNZcOf9aGl7rf14WG4prZEpVk0WBrMpMqth08weTpY4YiN8C/DL+aD8s8BDyOK+y/wZ8EJbSAC1\nP28PmeXloWb207lF+JdZ2wp4XL/vIG1mP2hm/0+uVJ4gWzCYX6MMr/Ss2/aDqRgcnsVT/TrZ7+Ru\nsgWU55LFXEJm1b+RLNHJh4C3ly7x+2TK5jEz+80+1/83st/UzXmbs8liOj9Dpqz9K1ms5u+Vz10l\n15C5yN9nZn/U5/5fJ0t89EdkMvWPZDGnr82bvJHsOfjR/PgfkS1Q/ZtlNVhfDfxCHp7zlrzfr8rP\nfQXZ3+YGsrH914CfyZUb8vueTxY7fphsjFa94W2CZ/k8fp3MenZX/vpzsuz3/eZpwfPIxrObyRZ/\n3wK8Pr/mh8lk6PPAZ8ks86vtzxeB5+TXu5Msf0GaEO+d+fu9Zva5ZS7138jyodxHpoS/JbnHDFnC\np0/m8vq9q+1fToOsQsA9ZAvY38KCEn4N2aLzh8zsJPAvZLkh4rs9j0wW7wSmycJyWmu8fxAu/V8i\n+57vIoszXQ3lZ8oHyZKffYXMo6hJr2fUSn/315M9Rz8G/Ht+/vPW9G02G3fXa5NfZIPoDy9x7Aqy\nH/4RsmQHRVuy1Zo35Z/PJ7MyVFd7DzK3uLeSCeR9ZIIX135Tfs9p4ItkLshx3k+RCdBxsoHzof3u\nQxbf8nayAfTzZAPh7UnbJ5AlSjqWf7ee70DmOvF+MnfFrwPPTs4tvvtqvr9e2/OV/55myZKCHCdz\nYXoOUEnanJb/XmOi+mJgLDn+S/lv4/759uX59iPW83siS7Lz+Vw27iFLIrQ3P/ZEssHgZP7b/ePl\nZJRsoH5Msv0m4EX55yuAT+bXOE420Pxo0vajwC8m208jmzifyP8Or0+OPTY//3h+vX9Mzy19v56/\nRb5vjGzS8+X8u30d+O/5safk+0+RTYb+aJ0yfAVLP+sOkk2a7gM+V/7+ef9enH/vu/O/42nL/N17\n/nZ66aWXXnrptZEXWdhIB3jAsPuyG16W/9GFEEJsIWZ2BZkS9aiV2gohhBBiazGzHwc+Quba+0oy\n6+p3u5SnTUcuvkIIIYQQQgjRyxPIciDcQVY+7slSTreGTVNQzeyxZvZly4q3v2Cz7iOEEELsRDSO\nCjG6SD53Pu7+i54lDdzv7pd6lnFbbAGb4uKbJ9P4CvAjZDFYnwae4u5fGvjNhBDrwsweSxZ4XwFe\n6+4vH3KXhBA5GkeFGF0kn0JsLptlQX048DXPiqq3yTJgraZukxBiC8gH1z8hq7t3IfAUM7tw+bOE\nEFuIxlEhRhfJpxCbyKIi9QPiHHrTHd9Onra5H2Ymf24hAHffSE3NtVAMrgBmFoOrVn+FGA00jgqx\nDrZoHF2TfAKYTToc2NROCTH6HMN9ZkUZ3SwFdUXM7EqyAtFCiK1Hk18h1sEWLiKtiMZRIUabXhnd\nj8RViGtX1WqzFNTDwHnJ9rn5vgJ3v5a8l5r8CjF6aPIrxFDROCrE6LKifEJZRs+WjAqxSjYrBvXT\nwIPM7AFmVgeeDLxvk+4lhFg7q5r8uvsl7n7JlvZMCAEaR4UYZSSfQmwim2JBdfeOmT0X+CBZhtDX\nu/sXN+NeQoh1UQyuZIrpk4GfG26XhBCBxlEhRhfJpxCby6aUmVlzJ+SaJASwtfFtZnYZ8GoWBteX\nLdNWMioEoxWDmiIZFSJjdGX0bFfUjBDX4n7H6CZJEkIMF3f/APCBYfdDCCGEEEKIYLNiUIUQQggh\nhBBCiDUhBVUIIYQQQgghxEggBVUIIYQQQgghxEggBVUIIYQQQgghxEggBVUIIYQQQgghxEggBVUI\nIYQQQgghxEggBVUIIYQQQgghxEggBVUIIYQQQgghxEggBVUIIYQQQgghxEggBVUIIYQQQgghxEgg\nBVUIIYQQQgghxEggBVUIIYQQQgghxEggBVUIIYQYEmb2ejM7YmZfSPadbmYfNrOv5u+nDbOPQuxm\nJKNCbD3rVlDN7Dwz+wcz+5KZfdHMfiXff7WZHTazG/LXZYPrrhBCCLGjeAPw2NK+FwAfcfcHAR/J\nt4UQw+ENSEaF2FI2YkHtAL/h7hcC3ws8x8wuzI+9yt0vzl8f2HAvhRBCiB2Iu38MOFra/QTguvzz\ndcBPbmmnhBAFklEhtp7qek909zuBO/PPJ83sJuCcQXVMCCGE2KUcysdYgG8Ch4bZGSHEIiSjQmwi\nA4lBNbPzge8CPpXveq6ZfT7325dfvhBCCLEO3N0B73fMzK40s8+Y2We2uFtCiJzVy+jMFvdMiO3L\nhhVUM9sL/BXwq+5+AngNcAFwMZmF9ZVLnKeBVQghhFjMXWZ2FkD+fqRfI3e/1t0vcfdLtrR3Qoh1\nyOjklnZQiO3MhhRUM6uRKadvdvd3A7j7Xe7edfd54C+Ah/c7VwOrEEII0Zf3AU/PPz8deO8Q+yKE\nWIxkVIhNZN0xqGZmwOuAm9z9D5P9ZyV++T8FfKHf+UIIIcRux8zeCjwGOMPMbgeuAl4OvMPMngXc\nCjxpeD0UW0W9Xgcg8xiFTqezqE0cE1uHZFQEfvglK7axc67agp7sfNatoAKPBJ4G/KuZ3ZDv+23g\nKWZ2MZk//i3AL22oh0IIIcQOxd2fssShS7e0I0KIvkhGhdh6bBRW48xs+J0QYgRwdxt2H/ohGRUi\nQzIqBs0FF1wAwPnnnw/A3NwcAMeOHSvazM/PAwtW1Xg/cmQh9PHEiROb3tftwOjK6NkOVw67G2Id\nrMZyuhpkXQW4Fvc7VpTRgWTxFUIIIYQQQgghNspGXHyFEEIIIcQ6CMvp1NQUsGAlHR8f79kP0O12\nATjvvPMAOOusswC48cYbizbXX389IEuqEINiUJbT8vVkSV0ZWVCFEEIIIYQQQowEsqAKIYQQYtdw\nxhlnFJ/DatlutwGYnp7e1HuHBRQWLKT79+8HFrL4ZkUSei2ose+Rj3wkAJdddhkAr3jFK4o2x48f\nB+Dmm28GZEkV25gvXL30sYuWOTYABm01Xe4esqQujSyoQgghhBBCCCFGAllQhRBCCLFjCevjwYMH\nAdi7d29xrFrNpkGnTp0CFrLjNpvNgfahUqkAC9bS9HNYSiP2tFar9fQl/XzLLbcA8O53vxvotZLG\n+aeffvqiY0KMNMtZTJdqO2BL6lZYTsXqkQVViB2KmZ1nZv9gZl8ysy+a2a/k+083sw+b2Vfz99OG\n3VchhBBCCCFACqpYJ/V6nVqtRq1Wo1KpYGbFS4wMHeA33P1C4HuB55jZhcALgI+4+4OAj+TbQggh\nhBBCDB25+Io1c/DgQc4991zMjLm5OU6ePMnc3Bxzc3N0u13a7Tbdbhd3p91u46768cPA3e8E7sw/\nnzSzm4BzgCcAj8mbXQd8FHj+ELooNpF6vV7IXuoqCEgmxa6g0WgACy604dqbJkkK19tIUBRJk8L1\nd1BJk+Ke0ae0X/Ee94z31M04+nffffcBcPfddwPQarUWtQlXXyFGnrW49i517iYnTRLDQQqqWBPn\nn38+k5OTHDhwgLGxMVqtFtVqlU6n0zMZjpptR48epdvtKhZmyJjZ+cB3AZ8CDuXKK8A3gUNLnHMl\ncOVW9E8IIYQQQgiQgirWwLnnnkuj0aBWqzE2NsaePXuoVCpFev5ut0ulUmFiYoJKpcLY2Bh79+6l\nWq1y6623cs899wz5G+xOzGwv8FfAr7r7idQN293dzPqa09z9WuDa/BoyuW0TLrjgAiBbTJqbmwPg\n2LFjwIJ1KCyq8X7kyBEtIoltTTzXJiYmin179uwBYN++fcBCkqTLL7+8aBPJkT75yU8CCzISltWw\nZsJCGZe1eCDEdQ4dOtTTl7SvcY+wrsb103vHvrGx3sisuL4Q24aNWE1Xe701WFWVHGk0kYIqVmTf\nvn2cfvrp7NmzBzOjVqsxNzdHs9mk2+1SrVapVqvFwH722WdzxhlnUKlUuOOOOzh69ChnnHEG7XZb\nk+AtxsxqZMrpm9393fnuu8zsLHe/08zOAo4Mr4diUIRiGu6C8/Pzhatf7AvPhqjFeNZZZwFw4403\ncv311wPK/CmEEEKI4SIFdZty4MABKpUK8/PzdLtd5ufnmZmZKZTEQVGpVDj77LOpVqtMTk5Sq9Wo\n1+uMjY0VK7n79u1jfn4ed6dSqfCIRzyChz3sYRw4cIDrr7+ej33sY4Ui22w2Za3ZIiwzKbwOuMnd\n/zA59D7g6cDL8/f3DqF7Qux6zOw84I1kbvYOXOvu15jZ6cDbgfOBW4Anuft9w+rndiBKs6Txl5OT\nk0A2XqbvYQmFBcvrmWeeCSy2nEZcZ9p2dnYWWF0pmrDahrU0rLpp/1KrL1B4PqTxqtGfGOP7jfWx\nL8bm6K9iztePZHSADNpyupp7jXh8alhv7ZyrhtyT0UMK6jZjfHycRqNBpVKhXq9TqVSKxESdTodW\nqzXQwSiso+Pj44yPj1OpVIrsvemAOT8/T6fTYWxsjGazydGjR5mdnS0mAnGdPXv2sG/fPimoW8Mj\ngacB/2pmN+T7fptMMX2HmT0LuBV40pD6t6OJpCgxaQxX+EElXQnCGhpW0qitWK/XiwlqHIvtRz7y\nkQBcdtllALziFa8oZPXmm28GZEndIiLT9ufMbAr4rJl9GLiCLNP2y83sBWSZtpXITIitRzIqxBDY\nsIJqZrcAJ4Eu0HH3S7SytDmYGWNjY1Sr1UJJrNVqRYKiyFA4qALjlUqFgwcPUq1We5TiUDbHxsYK\nBdndi1XbI0cWPEbvuusuTp48WfS72WwW1tdBW3tFL+7+CWCpuj+XbmVfhBCLUabtwRGxnWmG3rBA\nxrFYvEkXX2LcjIWe2A6rZmTNhQXr7NGjR4EFa2vEsabEYlDcO6yl8Q4L1tm4Toyh/eJfy5l9w10/\njUEt90eW040jGd3mLGNJHYXYU1lOl2ZQFtQfdPc0A07UWdTK0gAwM6rVKpVKpXhvNBo0Go1C8atU\nKszOztJoNHD3osTLRggFtF6vU6/XaTQajI+PF8ppDMBmRqfToVKp4O4cO3aMZrNZuB23Wq2i75AN\n8pOTkwO3JAkxbMyscOmLiW787mPSGImJNrqQFJPRmHTHe1hLx8fHC7fHclKkW265BYB3vzsLSz5x\n4kQx+T799NOLfWLrWE+mbSHE1iEZFWLr2CwXX60sDQgzo16vF4phxICOj48zMTFBtVplbm4OM6Pb\n7dLtdguFcW5ubt0rqGNjY5x22mns2bOHarVaKKjVahUzK6y5YQl190JhhWzy3el0epTkclyMEEKI\n9WfaVikoIbaGwcjo/s3vqBA7hEEoqA58KBfOP89LU2hlaQBUKpVCMa1Wq0X5lvHxcU477TTud7/7\nAQsFu0NRjDjQiYkJWq1W4Qq0nntHzGkoo1E+BhYsrNF+fn6+UD7DfdfM+qbBl+uR2EmEK+HU1FRh\nOQ1Xw/j9hztfyEa1Wt2QF0FcP713+h7PDViw1kYfwm0xnh2tVqs4liaZEZvPRjJtqxTUAt/93d8N\nwKWXLkQvROmYsrdByGj6OVx6wyU3ttMERuGRUJaj2J96HZRLxcS4mSZd6peICRaeEXFdWFjYje+S\nHgtarRawkGRJDIbByejZu1pGh0rfBE3Dd/EVSzMIBfVR7n7YzL4F+LCZ/Vt6cKmVJa38Lk1YTcMt\nNqymEQu6d+9e7ne/+/GQhzyE2dnZwnIahPttKJezs7NrsqZWKhVOO+00pqamCjfBqH8KFFbUcCVO\nldG4P9CjsKa4+7qUZiGE2Eko07YQo41kVIjhsGEF1d0P5+9HzOw9wMNZxcqSVn6XJ5TAiDEN5TSy\n6U5MTBQK4+TkZLHKm7reVioVms0mZlZk+V0pLtXM2LNnDwcOHCiU41BSa7VaYUE1sx6LbUpqZYUs\n7q1Wq9EqGvj8AAAgAElEQVRut6lWq7TbbVlQxbYmFl7KpSP27dtXxKBefvnlwELsaVhzYkEnjcuO\nDLqrkYuwoBw6dKi4Z9qXuGbEo6f7YrufzIqhoEzbA+IhD3kIAD//8z9f7PvqV78KLMhXeBukFtSQ\nn/AciDaxiJrKSshRjL1lq2ZKOYa7fG56r7J8BhEznraN/sSxdEyPzzMzM4v6I9aNZHSHcvU5+fvh\n4fZD9GdDCqqZ7QHG8sxme4AfBV6KVpY2RK1Ww8x6LJehlI6Pj1Ov14tSLqGQ7t27l0qlUrxSJTUG\nrVqttqIl1cyKWNP0/mnm3jQDbyiolUql6EtqVU0H2DTb7+TkpBRVIcSuRpm2hRhtJKNCDIeNWlAP\nAe/JVxGrwFvc/e/M7NNoZWnd1Ov1wkIaymEop41Go4hXOX78OBMTE9Trdfbu3VsoluEe3Gq1mJ2d\nLdx9W60WjUaDdru9ZImX8fFxpqamiszBUQO1XPcUFuJLQ5mGbHU3VYLT2NRYZQ7XYCG2K/F7D6tL\nlI44cOAABw4cABasNmFlOfPMM4HeEhIhy9FmdnYWWD7Db1hoy9bb6EMaMxexaGVLTchw+hyIz+Vk\nZpJVsR145zvfCcC9995b7Dt8ODONROxp/LbT8i3lvAlByFO6yBqUrxPPg9SSGs+BkM+yDKaf033p\nPVNra1lmo03EncKC1VcxqEKsHllSR5MNKajufjPwnX3234tWltZFlJCZnJzsKSNTzt5br9cZGxsr\nEhiNj4/TbrepVCrMzMwU7r1pDGqlUinem83mojjQsIBGlt40yUoomPPz88WgmQ7o0U/IBs44PwbR\nmOR2u11mZmY4efKkJr5i21KuuZjWWyzXWlyuzmIkWVlNfcWV6ir2q6lYrqe4XC1F1VAUQgghxCiw\nWWVmxDqp1WocPHiQM844g0ajwdzcHJ1Op6hFGtbMVFGtVCp0Op0ed9zx8XFmZmaK7enp6SIWNRTP\ncvIkd18US5MqqOHeGwmSQpFNldlOp9OjrEbM6fz8fOHi2+12l7TgCiGEEGvljjvuAOCDH/xgsS8W\ni4KwaqYxqLHgGqEwsWgTY1TqkZCOh+l2vKfjZ9y77OGQZuxdquRautgbhNU2+tlvAUkWVDHSXHR1\n9t43o64QvUhBHTH27dvHOeecwyWXXMKePXu4/fbbOXz4MO12u1BOJyYmCutIuAlOTk7S7XYLhXV2\ndrYnmy9kg1ZYUN29qKPabDYLN9xQaBuNRuG+W61We8rJhIIaSZKCVGmtVCo9Ftput7vImirEdqVc\n0iItZ1EuZbFcGYvYt5ryFSuVrehXsqJcrmK5UhUqUSGEEEKIUUAK6ohx5MgRfvqnf5qf+ZmfYd++\nfXzyk5/k4x//OPfee2+hOIZC2mg0mJqaKrLrAkWc6czMDBMTE0xOTtJsNtm7dy8zMzOYGc1ms3AJ\nbrfb1Go1Wq0W7Xa7J/4sFNNKpVKUuQlLarfb7VFUQ/mMBE1hMe12u7Tb7UI5brVazMzMSEkVQggx\ncE6ePFl8jgWY2Bdx4bFIlFK2jvYj2oQlNq4fC03h6g8L9YhjgSrN0xCUs2nH4lCMj+liU4yxsejU\nL8twfFYZNyH6c9VFS8u3YlFHCymoI8hNN93EZz/7Wfbs2cPNN9/MiRMnmJub6xng0ljR8oCaJl9J\nS8G4O3v27Olx8U1ddCMJUxyP2Ney22+adCn6Awv1TdP3+fn54gULlptQboXYjpRLWqTlLMqlLJYr\nY7FUspV+5StWKluxXMmKmNwuV6pCJSqEEEIIMQpIQR1BvvKVr/D+97+fqakpTp48ycmTJ6lUKtRq\ntZ4MfrFqW14tdXeq1SrdbreYkJpZ4QacrrimCm69Xue0004DFpRgoFBWQzEN99203ExqOY0svZ1O\np3iFRTW2pZwKIYQQQgghykhBHUHuu+8+brzxRvbu3VvUHo3402azSaPRoNFoFFZKyFyDQgEsZ+aM\nbMBjY2OFcpjWTIVMIY0MpO5exKKG4pnGsqYZesM6miqn4doLC1acsuIqxHamXNIiLWdRtoouV8ai\nLAvLla9YqWxFv5IV5XIVy5WqUIIVsRNIf7/hFTA9PQ0sZKhOvRFCPkNG4j2uk3oohRdEjIWxSFwu\nFwULnhOpm27aJ1gsh7FdjjPv1yauk7o0x/eTi68Q6ydcfWHz3H3tnKs258I7CCmoI0iz2eTo0aO0\n2+2iJmokMxofHy/iTPspiallMsrQpLGkMzMzTE5OFuVpUgvq1NRUkS04rKZRziYllNAYpOP+kXwp\nVZzTyXm/xEpCCCGEEEIIEUhBHVFarVZPXcNQTqPsTJrcKFUgQ1GNz2bWsyo7Pj5euOempWNSRXh8\nfJx6vV5k5Y3ap+HaG2665XIzYSFNY0+ht75qHBdiO1MuaZGWsyiXsliujEVYYFZTvmKlshX9kruU\ny1UsV6pCFlSxE0ith/E7j7q/EV/dz8qaeh6kbVLPh5CjsKSWF2+j1jEsyH8s5IaspRbPY8eO9dxr\nuQRNQeR+iHPT633jG99Y8Xwhhk6Um4GRLzmjxEnDQwrqiOLuhRLa6XSYm5sr3HtrtVph6Yy6prAw\nuIXyGAphlIbpdDqFW2GcG5bViYmJwh04rK5Aj6U0HfhDcU3LykS/0+9QjnkN5VUIIYQQQgghykhB\nHWGifEvEjnY6HVqtVlEiptVqUavVCitmWDjTeolREia2YSExUpoNeHJysrhGKKhmRrvd7rHCRr/i\nnmlZmrCORvuIN52bm6PdbtPpdJidnZUFVewYwnqRlrNYqpTFcmUsVlO+YqWyFf1KVpTLVSxXqkIl\nKsROJX7TadbqoCwT5drBEdcJC9bLaBNeDNH24MGDRdtIOBiyNzs729OX9N5hDV2qT+m9wxoc/Ur7\nJ+8HIUYbxZ6uHimoI0xaqiWtJxolIcIdNy0jY2bFABi1SiuVSk8W3lAkIyvw5OQke/fu7Sk5E6Tl\nYFIXXlg8IY57drvdwhW52+0yOztb1EA9fvy4LKhixxATwjQZSzkRy3JJWOLYapKvrJR0pV/ClXKy\nleUSrSjBihBCCCFGASmoI8z8/DzNZrPHghoWyVBa0zhPWFBqU1faaFuv1wultV6v0+l0qNVqTE5O\nMjExUUxiG41GTzbgZrNZTMTjnmNjYz1ZgOM+0SZckuPcbrfbkylUCCF2O2Y2DnwMaJCNx+9y96vM\n7AHA24CDwGeBp7l7e+kriX6ki7WwYMWMd1jwdCgvvJYz0af7ynGrMf6mi7ax6FSOV03j1VPrZ9qm\n7OEAC4tLMRbH9j333LPMX0BsFMmoAMWiDgMpqCOMu/coo6E0RpKkNOFREBbSyO4b16lUKkVsatoO\nsqQrEYOaxpuOjY3RbDYLpTjNwhuvNEY1CEU6FNRWq8WxY8e49957paCKHUV5wtpsNhclYlkuCUvZ\n6rlc8pWVkq6sJeFKv0QrSrAyFFrAD7n7tJnVgE+Y2d8Cvw68yt3fZmZ/BjwLeM0wOyrELkUyKsQQ\nkII64qRlW1KFNZTAtPZouPDGe2TSDavn/Px8MQGO9tVqlcnJSer1OpOTk0XcaqvVKs6J2qnT09OF\nklp2/YWFcjPhihzuvhF7qvqnQgixgGcPz+l8s5a/HPgh4Ofy/dcBV6PJ75qJsalsDU3HorRuePoe\npC715UzXsfiU1ghf6rqxwJRaTSOGNRaZyotLq4lBjZh3sTlIRoUYDutWUM3swcDbk10PBF4MHAD+\nM3B3vv+33f0D6+7hLidiS0MJjVjUKDuTWknTzL2pclkeKKMG6vz8PI1Gg4mJCaampmg0GlQqFcbG\nxti7d2+RRRjoqXMaSnDcN5TmiI+dm5tjdnaWZrPJ7Owsp06dotlsKjmS2PHEggwsTF6XS8ISk8zV\nJF9ZKelKv4Qr5Xsvl2hFCVaGg5lVyFwEvw34E+DrwDF3Dy3qduCcJU4XQmwyklEhtp51K6ju/mXg\nYiiE9zDwHuAZZG4P/3MgPdzl9MuKm7r6xv40C2fqpluuUZq65IbCGImVQjmN5EnVarWwqMZ145rl\npCtx7fS6MSk+ceJEMTEWQgixgLt3gYvN7ADZGPodqz3XzK4ErtysvgkhBimj+5dtK4RYYFAuvpcC\nX3f3W1dTaFqsnTR7btltKRIgRfKitFxMWF1TV6G0FE2qYHY6nUIhdXcajUahuEZSpXAZTvtRTiIR\nynOqTAuxk0llsZyIZbkkLGVZXi75ykpJV/olXCknW1GildHF3Y+Z2T8A3wccMLNqbqE5l2wBuN85\n1wLXApiZXFRKRDx4eCTEdpokqV/5l5TwYoAFz4Py+BnXbzQaRduQ+3gPWYxSUrAgs9GHyPzdr8xM\n7IvF3nTsFlvDxmX0bP2zylx0dfb+has39TZXXTQY3WQ9yZJUWmZ9LK4Tsj6eDLw12X6umX3ezF5v\nZqcN6B67kjQhUbjtppQTH1Wr1cIFd2xsrFA4o8xMKJChtMb+eNVqteI9rtVoNHqsqTHxLVto09jY\ncEU+evTooomzEEIIMLMzc6sMZjYB/AhwE/APwBPzZk8H3jucHgqxu5GMCjEcNmxBNbM68BPAC/Nd\nrwF+lyyI/HeBVwLP7HOeXJNWSZSaSd10IwlREMdCWQwLTKfToV6v0263CwU3lMp6vc7BgwdpNBqM\nj48zMTFBrVYrXnHN6elpqtVqUabm1KlTPdaZIO5dzjisFV6x00ktoWXrynJJWCKedDXJV1ZKutIv\n4Uo52YoSrYwcZwHX5WEyY8A73P39ZvYl4G1m9nvA9cDrhtnJ7U7IU1gq09/71NQUsCALYQUNy2ma\nJCnqE0fbkPHwZgiZhAXLaZwTpAmaIl48+hfyGc+BNC48ZDa+w5EjR1b83mIgSEaFGAKDcPF9HPA5\nd78LIN4BzOwvgPf3O0muSasnEhCFy2273aZarRbJkur1ehE3GvGoURYmLScDvYpsWFaB4vP4+DjV\napVarUar1SosqVEbtVar9dRTDYU0lN/oayimytw7fPKB9TPAYXe/XPXbhBgN3P3zwHf12X8z8PCt\n75EQIkUyKsRwGISC+hQS914zO8vd78w3fwr4wgDusetJLadR07TZbBZlXcLqmZZ/iZjUcNVNExmF\nBTXewz04vU61WqXb7TI5OUm73e6Jizl16tSiuqhx7XD1PXnyZE+sjxgav0LmkrQv334Fqt82UNJY\nt3Kc23IxbmGlWU1s20oxbf3i2cqxbIpjE7uR6emsSkhYQ2Mb4L777gMWLJ0hc+VaxLAQ/x0Wz7Bw\nnnHGGUBvrePwdIhzYjvOhQXrbchj3DssvGnbeEZE3+M5I4QQO5ENxaCa2R4yf/x3J7v/wMz+1cw+\nD/wg8GsbuYfIiARFqetsq9Wi2WzSbDaZm5srXp1Oh0qlUrwiM28MnmVlt1arsWfPnsLFN5TVRqNB\nvV4v4k9jO95jAE/delutVhGHGgq0GB5mdi7weOC1+baR1W97V97kOuAnh9M7IYQQQgghetmQBdXd\nT5G5Cab7nrahHom+hBIY7rvtdpt6vU6z2aRWqxVxqkDhCpy68lYqlcKiGm7AYVlNkyuFwhrXmp+f\np1ar0Wg0eqyls7OzxXbqWtzpdIpaqO12W5aZ4fNq4LeAqXz7IKrftmm02+1FcW7LxbiFRWc1sW0r\nxbT1i2crx7Ipjk3sRtKSZ9AbB16O3Q4LZSzopjGoIVuxL8a39HpB7IvrhAymY2LIcjwT4rohp2l5\nttgX8h7bQuwItiib71ai7L0bY1BlZsQmE0phKJoRf9pqtRgfH6fValGv1wtFNrLzAkVW3tTFsFar\nsW/fvkXlLCCbFEfMaVhPa7UanU6Hubm5wpp66tSpIptv9Cc+t9ttlZcZMmZ2OXDE3T9rZo9Zx/lK\nZLZGpqenF7kRrsaFcDWugyu5DPZzFyy7CspNUAghhBCjjhTUbcT8/DytVqvIwpsmSapWq4VrberK\nm2bxjDIxqdttTITDFTiuFUmQQjkNC2q48lar1cJ6GtcPF+P5+Xmmp6d7Vn/FUHgk8BNmdhkwThaD\neg2qsSiEEEIIIUYUKajbjFarVSie4UobSmqz2eyxtKSJjsKa2Wg0erLzpll80wRLZXek1MIa1tl6\nvc709HRhtXX3QkENt18xPNz9heTln3IL6m+6+1PN7J1k9dvehuq3DZT5+flFboTLuRCGtXU1roMr\nuQz2cxcsuwrKTVDsZvqVbwl5DTkNGYwxLy0dk3olpW2XI03IBHDo0KHic3g93HvvvT1t4vqpF1L0\nWZnxhVg9V11kKzcSI4kU1G1IWCrNjOnp6aLMS1hU9+3bR6PRYGxsjImJiWJi2+l0CsUy3ARjAAxX\n4dQKGhbVc845h5mZGe644w6azWYxQFYqFcysJ3FTvGQ9HWmej+q3CSGEEEKIEUQK6jYkLJWVSoV2\nu42ZFUpoJDxy90LhnJ+f77GARsmKSJ4UyuXc3FwRvxquuxMTE5x33nkcO3aMU6dOcezYsR7rTqVS\nKVZ2IyFTZBwWo4O7fxT4aP5Z9ds2kbKVZjkLTVhn1mKZWcoi088aU7bEyAojdjMxdqWx1zF2Hj16\nFFjwRIhF3HTsjGOxL+LI00XgoJwULdocPLiQVzISn8WxkNMoP9UPya7Y0ezAZElifUhB3aa02+2e\nmNFw243sueHqGwNpfA7ldm5ujkaj0TP4zs3NFVl+031lV91w6S0rvmlMqhBCCCGEEEKsFSmo25jI\nlBuJk8LFN615GrGl3W63SIQUJWGCUFojiVKUkjEz5ufnufXWW5mdnWV6erpw4Y16q6lSGopsJFMS\nYjdSttIsZ6GJBZ7VWGZWssj0s8YsZYmRFUbsZtLY6/BWCPmKrNuxP5WhkO2Qz7Cy9rtuxJzHORFn\n/rnPfW5R+/CyiGdGhMiksbIhs3EdIXY0YUkFWVN3KVJQtzGpIhhZfCNhUtQ5bbfbRS3TyOQbiidk\ng124BZsZExMTRZKjqGl66tQp5ubmOHnyJLOzs4VyOjMzU3xO41AjYZIQQgghhBBCrAUpqNuc2dlZ\nJicni2y+oZRGBt/UBbderzM/P9+TRClWgrvdLs1mE3enXq9jZkVMamQLbrVaxX2i1mmr1SosqqlV\nVQqq2O2EdWQ5C01YZ1ZjmVnJItPPGlO2xMgKI0QvIVfhdRTbIYNpPHi0iffwWojt8G6ABXkPGYw2\n99xzz6I2IbMRXx6ynFpkQ2blnSSE2A1IQd3mhPVybGyMdrvNzMxMYR2NeqmhrHY6Her1ehFDamY0\nGo1ikjw/P0+z2Swms9VqlWazWexrNpuFkhrJl0IZDYur4lCFEEIIIYQQ60UK6jbH3XsyEgYRbxrJ\nk2LVtdPpUKlUGB8fZ//+/Zx55pk0Gg3a7TbHjx9nZmamcA8Od97Z2VkgWwmemZmh2Wxy6tSpwrIa\nFtRQUo8fPy4LqhA5y1lowjqzGsvMShaZftaYsiVGVhgheomxKuQyvBjSBINByFxaGxXgggsuAODR\nj350se/v//7vAbjzzjt72qZZuGMxODJvh+zG/n4W1LvvvnstX0+I7c8IZfa9+vCwe7B7kIK6A3D3\nwq03kiKl72EhbTQaVKvVopTM6aefzgMf+EDOPPNM7r77bm666Samp6eLLMARgxoKaiinoYym94/4\n00i4JITIWG4CHJPf1Ux8V5rw9pvslie6muSOJmZWAT4DHHb3y83sAcDbgIPAZ4Gnubv8soUYEpJR\nIbaWsZWbiO1AxIimSuXMzAzT09NMT08zMzPDqVOnaLVaRXbPM888k/POO49Dhw5x4MABxsfHC2U3\nEiKFUtpsNoskTHNzcz2xrZFUKUrcyHoqhBBr4leAm5LtVwCvcvdvA+4DnjWUXgkhAsmoEFuILKg7\niE6nw+zsLOPj40XG3rB+djodarUa+/bto1KpUK/Xi4y9x44d4+jRo8zOzhYJkCK2NU2QFNaXtFZq\naj2NdyHEYsKaGW58qRdCuNxOTU0BcP/73x+A888/H8i8H8qW2LJVNK6bJkCKe8S943mgRaTRwczO\nBR4PvAz4dctW/34I+Lm8yXXA1cBrhtLBXcJy8hmsRk6DleQ1vVc5aVlZbkGyO0wkoyPCGlx9r7rI\nVmyzFuTau/WsSkE1s9cDlwNH3P2ifN/pwNuB84FbgCe5+3254F4DXAbMAFe4++f6XVcMlnCvdXcm\nJyeZmZnpKftiZpx55pl0Oh3MjFOnTnH48OHi/ciRI5w6daqwoqaZe0NhjZqqEW8abUKxjUzAQggh\nVsWrgd8CpvLtg8Axd4/VvtuBc/qdaGZXAldueg+F2N0MSEb3b2onhdhJrNaC+gbgj4E3JvteAHzE\n3V9uZi/It58PPA54UP56BNmK0iMG1WGxPKGkHj9+nHq9TrVapV6vMz09zfj4OCdPnixi2O6+++7C\nyhruwWEBdfcia28wNjZWlJ1ptVrMzs4yPT3N7OxsYW1N2wshFhPWkuPHjxf70szZsFCK5ktf+hIA\nN954IzfffDOwkCQpLDOxXU58VI4fhwWLjRaRRgMzi4Xfz5rZY9Z6vrtfC1ybX0v/1AHQTz6D1chp\nsJK8Qn+ZBRbJLUh2h8VgZfRs/fMGwRYmTVqP5dTOuWrwHdmFrEpBdfePmdn5pd1PAB6Tf74O+CiZ\ngvoE4I2ePUX/xcwOmNlZ7n4nYktpt9vFABjlYE6dOlUkTZqdnaVarTI/P9+TVCnKzYSyGolczKzH\ncpq6AYf1NM1QKIQQYlkeCfyEmV0GjAP7yDyQDphZNbfQnAvIwUyI4SAZFWIIbCQG9VCidH4TOJR/\nPge4LWkXrg9SUIdAt9stLJy1Wq2wioYrb6PRKGJSzaxYnS1n4k3L1ISSmsadhjKsGFQhVke32y2s\nNBFztn9/5gL2jW98A1goVTE2NtZT7gIWLDJBHA8ZPHXqVNEmLDHHjh0b+PcQ68fdXwi8ECC3zvym\nuz/VzN4JPJEsS+jTgfcOrZO7lBjzUkvqauQ0WEle0zapzKZtUwuqZHc4SEZHmE2ypCredDQYSJIk\nd/e1uhcpdmbrSGNKm81mT7KFubk56vU6p06dolqt9kyEI1NvDMrRPpTT+Dw/P8/MzAwnTpyQ+5EQ\nQmyc5wNvM7PfA64HXjfk/gghepGMCrGJbERBvStcd83sLOBIvv8wcF7Srq/rg2JnhkO73S7ccMOd\nd35+vnD7hWzluOzWG8ppKLnh0huvEydOLMpEKIRYnrDShHUkYtv27dsHLFhYpqamCutMyGosIMU5\nca1YgEpjyCNWTjWKRxd3/yhZqAzufjPw8GH2R2SkcaKrkdNgJXlNr53KLLBIbkGyOwpIRkeUsKSu\nkUFbShV7Olg2Ugf1fWRuDdDr3vA+4Bcs43uB44o/HR0iA2+8okxMvNJ4VMisplHjNAbPtOZpakWV\n9VQIIYQQQgixEVZbZuatZAmRzjCz24GrgJcD7zCzZwG3Ak/Km3+ArMTM18jKzDxjwH0WG6CskIYi\nmh6Lld80niYI62m73S4SL83NzS3KRiiEWDvhhRCWmsnJSSCzvuzZswdYsMCE7IbsxbnxfurUqeI6\nqSVGCLExlpPTYCV5Ta+Tymx6XcmtEOtDcaTbn9Vm8X3KEocu7dPWgedspFNi8wlraWr1NLPCpTes\nqJEQKdpHmZkoKdNqtTh58mTfouZCiLURk9lImtLPrS8muOFWGG3inEiwcvLkycLrQe6BQgghhNgu\nDCRJktgehLtuEBbS1J0XKNx/zawnS2+49Ma+ubk55ufnC2uqEEIIIYQQQmwEKai7mFA003T4aebe\neKVZe+MV+0+ePCnrjBADIlz8gjSDdiwChQU1EqmUS1SE1bTZbBYlMrSAJMTgWI2nQ7CUx0N6fur1\nAMjzQQix65GCusso1zBNraadTqcYeN29x4IaCmpkBo3zm82mJr9CCCGEEEKIgSAFdZcxNja2yJU3\nXmNjY4VFNd7LCmq4CadKqhBiMIQHQ1hWwkoambOBHo8HWLC2RKmKsKROT08XJaWEEINjOU+HYCWP\nh/Q6qdcDIM8HIbYJKi2zeUhB3UVE0qMylUqFarVKvV7vcV2KgXVubq5IiNRqtYpMvvfdd59ckIQQ\nQgghhBADQwrqLsLdqVQqmFmhlNZqtUXv7l5YU+O8UFjjPbL6CiEGR9k6mu5vNBrAQvxbWFvCyhKl\nKsJSE0nNhBCDZTlPh2Aljwfo7/WQvgshxG5FCuouI5TUWq1GrVYrFNXx8fFCSYVschuZfFP3pShN\nMz09rcmvEEIIIYQQYqBIQd1FhEKaWktDMU0VVljIGhrKaZpcKeqhmpliZIQYILVaDViwku7ZsweA\n8fFx9u7d29MmCCtM2YJ67Nixze+wELuQ5TwdgpU8HqC/1wMoe68Qo45iTzcfKai7iEajQaPR6FFQ\nw3Uw9plZkb03HWyjZmokVErLXgghhBBCCCHEIJCCuksIRbRarfYop6GQpgpnmuW3nKU3taoKIQbL\n/v37AQpraVhQp6ammJycBBYWi8LKEvFwQexPs4UKIYQQQmwXpKDuEsbHx5mYmGBsbKzI2BtW01Q5\n7Xa7VKtVKpUKY2NjRfmZOC9chCcmJoqyM2J0MbMDwGuBiwAHngl8GXg7cD5wC/Akd79vSF0ULCii\n4b47Pj4OwMTERNEmFobKCmkQHg9xfHJysnAZFKOLmd0CnAS6QMfdLzGz05GMjizLueIHK7nkg9zy\ntwuSUSG2nrFhd0BsPmZGrVZjbGyssKKOjY31uPCGtTT2h/IaVtZ0ciyldFtxDfB37v4dwHcCNwEv\nAD7i7g8CPpJvCyGGxw+6+8Xufkm+LRkVYrSQjAqxhciCuguo1+uF9bScDAnosaBG/Gmn06HVahXn\npPGpcc2xsbFFLsBidDCz/cCjgSsA3L0NtM3sCcBj8mbXAR8Fnr/1PRRBuPaGG2/ZnTd1rQ/ZDdkL\nK07sj3Pq9fpWdF1sDpLREWY5V/xgtS756TG55W8rJKNCbCKyoO5wxsbGiky9kSSpXq/31D4dGxvr\nGW8UahEAACAASURBVDQ7nQ5zc3PFhDhcfCuVSk/cagy8YmR5AHA38L/M7Hoze62Z7QEOufudeZtv\nAof6nWxmV5rZZ8zsM1vUXyF2Iw58yMw+a2ZX5vsko0KMDgOS0Zmt6KsQO4IVLahm9nrgcuCIu1+U\n7/sfwI8DbeDrwDPc/ZiZnU/mQvjl/PR/cfdnb0K/xSowM/bu3cuePXt6FNJarVYopKF0hoWm0+kU\nbrzRJpRTMytiU8OyqnT4I00V+G7gee7+KTO7hpIbkru7mfX12Xb3a4FrAZZqIzbGvn37gMWW07DI\nRKmKer1eLBiFlSW8HmKhKGLdwnK6VCkMMXI8yt0Pm9m3AB82s39LD0pGR4fVxIoHK8WMQ/+4cUCx\n46PHgGT0bMnoJuOHXzLsLogBsRoT2BuAx5b2fRi4yN3/A/AV4IXJsa/nfvoXSzkdLmE9rdfr1Ov1\nIv60UqkU2XxTC2qUkEktp2m8ato24lrFSHM7cLu7fyrffheZwnqXmZ0FkL8fGVL/hNj1uPvh/P0I\n8B7g4UhGhRgZJKNCbD0rKqju/jHgaGnfh9w9giX+BTh3E/omNsDY2Binn346ExMTjI+PMz4+TqPR\nYHJyksnJSfbs2VPEkYYiGgpoWEdDsS27+EZbxZ+ONu7+TeA2M3twvutS4EvA+4Cn5/ueDrx3CN3b\n9ZgZU1NTTE1NsXfvXvbu3Vtsh+ylMhhEzHgcm5iYYGJiopDP2B+xqWJ0MbM9ZjYVn4EfBb6AZHQk\n2b9/P/v37y/G0XjFGBmyGR5JaUm2brdbZMmPV8hsnB+yK0YHyagQw2EQM5hnkqXaDh5gZtcDJ4AX\nufvHB3APsUbq9XqPQhllZZbC3YtESN1ut7CSmllPgqTUXSncgJXVd6R5HvBmM6sDNwPPIFuYeoeZ\nPQu4FXjSEPsnxG7mEPCe/LlaBd7i7n9nZp9GMirEKCAZFWIIbEhBNbPfATrAm/NddwLf6u73mtn3\nAH9tZg919xN9zr0SuLK8X2wcMyvcedPapfE52oRbbzlJUhDZfDudziIlVC6+2wN3vwG4pM+hS7e6\nL6KXRqNRxK5FLFu5nmKamTfN6AuLazGW49lSudYi0mji7jeTlX8q778XyehIEHHisLpY8WClmHFQ\n3Ph2QDI6+ijudGey7jSsZnYFWfKkp3r+5HX3Vi60uPtnyRIofXu/8939Wne/JKkpJQZIDILhvgss\nqntanrSGCxJkg2lYUmGh/mn6isRJQgghhBBCCDEI1mVBNbPHAr8F/IC7zyT7zwSOunvXzB4IPIjM\nrVBsMWFxCStKWh4GMgU14mHCQhpKaKVSKTL6pkpsaomNMjSyzAixPiYnJwvLSVhgllvwKWcFbbVa\nwOLaialMyoIqhBBCiO3GasrMvJWsGPEZZnY7cBVZ1t4GWbptWCgn82jgpWY2B8wDz3b3o30vLDaN\nVDENyvVL43O32y2U07TOaZB+np+fp9ls0u12C+VUE18h1kckJYMFF79w+Su7887OzhbHwhOi7DoY\nhCJbTtIihFg9MfZNTU0V+/bu3duzL+Q23vvVBg/5jDZpSZoTJ070HFNiMyFWj1x7dzYrPg3d/Sl9\ndr9uibZ/BfzVRjsl1k/En8bndMAsZ+E1sx7radRArVQqhRJaJq2ZKuVUCCGEEEIIMUi0XLcDqdVq\nRep6yFZlwzU3VU5hsQtgmi4/XH2BwtIabWU9FWJ9hMzFYhEsWE5icSmSJIUMz8/PMzc317Ov7A4c\nFtU4rjJQQqyfkMXU4rmaZGbBSknN0vPSxGbptsZYIUaTsN7aOVcNuSc7l3UnSRKjSaPR6Ik/jcGw\nHJOa1jaNbL5Baj0NxTRVSGPw1ARYCCGEEEIIMUhkQd1hRP3TiG+rVCrU6/XCdTf2Qa8lNI1ZjbZA\nT03USKyUWlKFEGsj4tcajcai2NPydipjqTU1bTM7O9tzfcWdCrFxopRMWjpmNcnMgtUmNYPFY6ks\nqEKI3Y4U1B1EOQFSmsE3dfmNmFPoncyGxTWy+bbb7UWxphF/Wj5XCCGEEEIIITaKFNQdRBrblrrx\npkorZIplrVZbctU2kiTF57KVNa2xKoRYG+GdkC4apR4L6Xu/eLWw6ITltBzrJquLEBsnDY8JVpNt\nO1ht1m1g0aKvFn+FGG0Ue7r5SMPYQaSW0rRmabVaLRTNOBZKZzlJQ7jyVioVGo0GtVqtp45qtOl2\nu4pBFUIIIYQQQgwUWVB3EEvFxcSKbb86p+l5cTxWb8vuvGmSpH7XEUKsTLooVK5/mFpXob+1JfZF\nPFw5u2+gBSQhhBBCbEekoO5AokxMeYIaSY7SBAypVbVerxeT3zQZUlkRDWVVLr5CCCF2EumCLfS6\n2a+mHFSwUlkoUGkoIdZDlHgROxspqDuEsbExJiYmihjRcO2FpS2raVwqLCRPWqqWWzlhkiyoQgyW\n8qJP6v0Q9RhjUluOVytbW7WAJIQQQojtiBTUHUSanbeseJYtnqGcpkppP+Wzn1I6Pz+/aL8QQoi1\nY2YHgNcCFwEOPBP4MvB24HzgFuBJ7n7fkLq4q0jLQEFvmZnVlIMKVlsWKm0jRhPJqBBbj5bYdwhl\n9914T+ubppaWpdpF/dRyqZpoAwuxqvV6XVYaIVZJmlU7vByCWEQqezWErNVqtSIxWSqbqfzFNQJN\nercN1wB/5+7fAXwncBPwAuAj7v4g4CP5thBiOEhGhdhiZEHdYcQENc3Wm054y2650S6OpZbV2BeT\n5PQe5cmwEGJ5ygpj1Bzu16YsW5FNGxZkuBzjVl4sShVYKaujiZntBx4NXAHg7m2gbWZPAB6TN7sO\n+Cjw/K3v4e6jnKgslavVlIMqt12qLBSoNNR2QDIqxHCQ+WsHMjY2xvz8fI/lNE16VLaExr4oR5Nm\n6C27Bce+KGGTuj8JIYRYEw8A7gb+l5ldb2avNbM9wCF3vzNv803gUL+TzexKM/uMmX1mi/orxG5j\ngDI6s0VdFmL7IwvqDiEsnbB4NbafVSaUzNhXq9UKxTYsr9Vqlfn5+cLKWqlUipXitASNEGJllrKW\nwoIlpryIFImR5ufni4yhS7WNGLd4TxeQms3mgL+NGBBV4LuB57n7p8zsGkqugu7uZtbXxObu1wLX\nAizVRqyNcm3wdBF2LeWggqXKQoFKQ20TBiijZ0tGhVglK1pQzez1ZnbEzL6Q7LvazA6b2Q3567Lk\n2AvN7Gtm9mUz+7HN6rhYTLfb7RkwO51OTxbQckwpUGT7TV160xjUIPb1c/cVQgixLm4Hbnf3T+Xb\n7yKbDN9lZmcB5O9HhtQ/IXY7klEhhsBqXHzfADy2z/5XufvF+esDAGZ2IfBk4KH5OX9qZpU+54oB\nEwppp9PpsZhGtt1w8Y0MvGZWJF0JUuU1Tc6SJmRJFddy5l8hxNKksdshi2UZLLcNmQ4Ph/RVq9Wo\n1WrU63Xq9Xohs+kiUsi7GE3c/ZvAbWb24HzXpcCXgPcBT8/3PR147xC6J5ZgqQRlqfxNTEwUHhCw\nIIvpq5zLoXxdMXwko0IMhxVdfN39Y2Z2/iqv9wTgbe7eAv7dzL4GPBz453X3UKyJUB7LimMMhDEZ\nDjfA9LywwHY6nUKhjfI05cFYE18hhBgIzwPebGZ14GbgGWSLx+8ws2cBtwJPGmL/hNjtSEaF2GI2\nEoP6XDP7BeAzwG/k9Z/OAf4laXN7vk9sAXNzc7RaLWq1WqFkphZVoFA45+bmipjTiDc1MzqdTqHk\nLhUPs1y8qxBieUJmUhf8eC/Hi8d26r4fxLHlFookn6OPu98AXNLn0KVb3RchxGIko0JsPetVUF8D\n/C5ZweLfBV5JVrh41ZjZlcCV67y/WII0c286yQ13wmhTTtgSxyqVSjHhNbOez2VLargAp0kfhBBC\niO1GuVxTv9Ixaa6GlHJiJaBnvE2v2+96gbyShFgaP/ySYXdBbCHrUlDd/a74bGZ/Abw/3zwMnJc0\nPTff1+8ayj44YNydVqtFo9HoydCbxrnE53LCJHen3W73WEbTDL/NZrNnoC0nWxJCrI5OpwPQ43Jf\ntoaWvRjKC0xp25hIx3u5HBSgRSQhhBBCbBvWpaCa2VlJ/aefAiLD7/uAt5jZHwJnAw8C/s+GeylW\nRZqAJZKvhItvmpgFFqyoYTENpTWNL01dfCPxQ+oWDFrxFUIIsf0pj2XlBZ9+bcsW0DS3Q5wX77FI\nlFpSy1bVshVX46sQC9g5VwGjYUmNPkSfxOBZUUE1s7cCjwHOMLPbgauAx5jZxWQuvrcAvwTg7l80\ns3eQZTjrAM9xdxX22mLm5+fpdDrMzc1Rq9V6soX2s4Km1tVydsHU4hpW14hXVXybEGtndnYWgHa7\nXVhT01hTWJj4ptl4W61Wz3XKVtFyjcbURV8IIYQQYruwmiy+T+mz+3XLtH8Z8LKNdEoMhlA0U/fB\niYkJpqamitjRUFrTdukkudvtFgpvq9UqErukCqsQYu10Oh3a7XbxGRYU0/379/e0Ddn7v+3dfZDd\nVX3H8fcne7PkgZAgcTAJaAISOsSZIjKKg2UYwArUMbbjILRVtHFiW59tp4DtFO3UDjg+jx0tChVn\nlIcCKkO16lg68Y+aNgEqGAyBkIWEJcHAZpPd7EN2v/3j9zu7N5fd7G527+/3u7uf18zOvffce7Pf\nPdmz93fO9zzAy7M3qeOa2m39enK3T7PJacyUjjW40ziAlNpXOk6m/j0LFiw45ntgNOOabtMgU3t7\nOwB9fX3H/fOYzTZVyJxacaazi69V0MDAwMgOvWmKb19fH7VajVqtxurVq3nVq17F0NAQnZ2ddHd3\nj3Q4a7UaR44cobe396jdf1NHN03vTZ3WVOZsqpmZmZmZzQR3UGeh1LE8cuTISNYl3Z555pmcffbZ\n9PT0MDg4yKFDh6jVapx00kksXbqU/v5+du/eTX9//8jIbzq+Jv0bwMumAFs1SfoE8AGy6fiPkp3f\ntgK4EzgF2Aq8JyIGSgtyjklZ06GhIXp7ewE4dOgQAOvWrQNgw4YNAGzatAmAHTt2sHbtWgCeeOIJ\nAF588UVgtG2nbEv9MTbeyMxscsY78mm849bqX5va4AknnDDyXMqU1m82CKPZURidjj/eEVJmNqpK\na1Ct+Tz/a5Zp3I13aGiIwcFBhoeHkcTChQtHpiOlTqgkFi1axLJly1i+fDlLlixhaGiI/v5++vr6\nXnY7ODjI4ODgyDpXqyZJq4CPAudHxOuANuBq4GbgSxHxWuAlYEN5UZqZmZmZjXIGdRYaGBgYWWNa\nv6NvX18fu3btor+/n66uLjo7O+nq6mL+/PksXryYk046aaRjmjqfw8PDHD58mMOHD490TNPa1dT5\ntUqrAQslDQKLgE7gEuCP8+dvBz5NdraxFSBlVBYuXDiSeUlZ1YMHDwKwfft2AHbu3AlkGda0pi1l\naVLWNb03ZVQPHDgAZJsxpQytmU1OY1a0foZQY3b1WNnW8bKik8mOelaSmc117qDOUs8++yxr166l\nr6+Ptra2kY7n1q1bWbJkCQMDA3R3d3P48GFqtRoDAwP09PRw5MgR9u/fT29vLwMDAyPTEFPmtL+/\nf6STOjAw4A/SCouIPZI+DzwDHAZ+Sjaltysi0nzt3cCqsd4vaSOwsYhYzczMzMzAHdRZ7YknnmDF\nihX09PSwYMEC2tra6OjooL29/agdP+fNm8ehQ4fYt28fMHr8RfpKHdS+vr6RTZgOHz48krmxapJ0\nMrAeWAN0Af8GXD7Z90fELcAt+b/lkYgZ1tHRwcqVK4HRbOi2bdsAeO6554CjszgdHR3A6PEy6bia\nnp4eALq7u4HRLOyBAwc8gGRmZmYtxx3UWS5lOdPX0NAQtVqNiDjqGIq0G2+Sjp1JuwCnDmnqoDae\nyWiVdBnwdES8ACDpPuBCYJmkWp5FPQ3YU2KMZmaV0Ti1t37abuM03fSZmV5TP303laXXpOfSUTL1\n9+vPJ4fRDZW8hMbM5ip3UGe5/fv3A9m5igsXLqSnp2ekM5qOlqk/ZiZ1XIeGhoiIkQxq2lApZWms\nJTwDXCBpEdkU30uBLcCDwLvIdvK9FvhhaRHOcSlTmi5mG9eTpgvVtra2l13MpovXlH1tvPUgkpmZ\nmbUid1DniDTdr729nXnz5tHW1oakkdFiSQwMDCCJtra2kY2QIoLe3l53TFtQRGyWdA/wEHAEeJhs\nyu6/A3dK+se87NbyojSbuySdDdxVV3QG8PfAd/Ly1cAu4KqIeKno+OaiNHU+DRbVH6/WuBlSyrKm\nDZHqM6iNA0RjZUPToFN6f2O21crnNmpWDndQ55Du7m5OPPHEkQ5qypzCy3cclMTw8DDDw8PunLaw\niLgRuLGheCfwxhLCsXHs3bsXGL2oTTv1pgvY1Gbry9KFdLrwTWvIrXVExHbgXABJbWTT7b8PXA/8\nPCJuknR9/vi60gI1m6PcRs3K4Q7qHNPT00OtVhvJkqZM6vz580em9qaOaTpKxsyK0dXVBYxO7a1f\nt5bOL06ZndQx9Tq1WeNS4KmI6JC0Hrg4L78d+C988VuoxiOg6stS5nTp0qVHvac+a5pe23gkTf1r\n6jcrhNGB4rQW1SrHbdSsIO6gzjERMXJMDGQfjJIYHBxE0lEbKpmZWWGuBu7I758aEZ35/eeBU8d6\ng4+CMivUNNvo0rFeYmZjcAfV3CE1q5jGrGg6x9hmJ0ntwDuAGxqfi4gY75gnHwU181LGNGU1e3t7\nR55LG5CtW7cOgA0bNgCwadMmAHbs2DHy2rVr1wLZcW8wuvFZ/ZrWvr4+YDS7Wr8nhFXLzLTRlW6j\nZpPkeSRmZmblugJ4KCL25o/3SloBkN96gbFZudxGzQo0YQdV0m2S9kl6rK7sLkmP5F+7JD2Sl6+W\ndLjuuW80M3gzM7NZ4BpGpw4C3E92BBT4KCizKnAbNSvQZKb4fhv4GtmW2gBExLvTfUlfAA7Uvf6p\niDh3pgI0MzObrSQtBt4KfLCu+CbgbkkbgA7gqjJim4vSdNu0KVn9lNw0/ffgwYMAbN++HYCdO3cC\no1OAARYsWACM7sidnqvfdClN+z1wILuESjtz108rtvK5jVaLVmUHE8Sez5QciTXThB3UiNgkafVY\nzylbKHEVcMnMhmVmZjb7RUQPcEpD2X6yHUPNrGRuo2bFm+4mSb8H7I2IHXVlayQ9DHQDfxcRv5jm\n9zAzMzMrTEdHBwArV64cKUtZ0G3btgHw3HPPAS8/fqb+/WnDs5Qd7enpGXlNOmM8ZWRTJtWbFppN\nrMxMavre1jzT7aA2zsnvBF4dEfslvQH4gaR1EdHd+EZvj29mZmZmZmb1jruDKqkG/BHwhlQWEf1A\nf35/q6SngLXAlsb3e3t8MzMzq7KUJYXRo2fSOtK0hnT+/PkAtLW1jby2Vssur9KRMSmTWr9ONd1P\ntz5Kymzq6rOZzc6mOnNanOkcM3MZ8JuI2J0KJL1SUlt+/wzgLGDn9EI0MzMzMzOzuWDCDKqkO4CL\ngeWSdgM3RsStwNUcPb0X4CLgHyQNAsPAn0fEizMbspmZmVmx9u7NjsBMmc60Q2/Kls6bNzrmn7Kp\n6bm0BjVlUgH27fPRmWYzaabXpTpjWp7J7OJ7zTjl7xuj7F7g3umHZWZmZmZmZnPNdDdJMjMzM5sz\nurq6gNG1p8PDw8BothRGz1FN61VT5rQ+g2pmzTGdTKqzptUwnTWoZmZmZmZmZjPGHVQzMzMzMzOr\nBE/xNTMzM5uixum66Rga8JExZlXg6bqtyxlUMzMzMzMzqwR3UM3MzMzMzKwS3EE1MzMzMzOzSnAH\n1czMrCSSPiHp15Iek3SHpAWS1kjaLOlJSXdJai87TrO5ym3UrHjuoJqZmZVA0irgo8D5EfE6oA24\nGrgZ+FJEvBZ4CdhQXpRmc5fbqFk53EE1MzMrTw1YKKkGLAI6gUuAe/LnbwfeWVJsZuY2alY4d1DN\nzMxKEBF7gM8Dz5Bd9B4AtgJdEXEkf9luYNVY75e0UdIWSVuKiNdsrpnZNtpbRMhms4I7qGZmZiWQ\ndDKwHlgDrAQWA5dP9v0RcUtEnB8R5zcpRLM5bWbb6KImRWk2+7iDamZmVo7LgKcj4oWIGATuAy4E\nluXTCQFOA/aUFaDZHOc2alYCd1DNzMzK8QxwgaRFkgRcCmwDHgTelb/mWuCHJcVnNte5jZqVYMIO\nqqTTJT0oaVu+zfbH8vJXSPqZpB357cl5uSR9Nd96+1eSzmv2D2E2l0m6TdI+SY/Vlbl9mlVcRGwm\n22jlIeBRss/kW4DrgE9KehI4Bbi1tCDN5jC3UbNyKCKO/QJpBbAiIh6StIRscfg7gfcBL0bETZKu\nB06OiOskXQl8BLgSeBPwlYh40wTf49hBmM0REaGpvkfSRcAh4Dv5NvhI+hwz1D7zf89t1Izja6NF\ncBs1y1S3ja4M2Fh2GGYlu4WI5yZsoxNmUCOiMyIeyu8fBB4n261sPdnW2nD0FtvryS6UIyJ+STZP\nf8Vx/ARmNgkRsQl4saHY7dPMzMzMWs6U1qBKWg28HtgMnBoRnflTzwOn5vdXAc/WvW3c7bfNrGnc\nPs3MzMys5dQmfklG0onAvcDHI6I7WyueiYiY6vQiSRvxXAezpjue9gluo2ZmZmZWvEllUCXNJ+uc\nfjci7suL96apgfntvrx8D3B63dvH3H7b57eZNdW02ie4jZqZmZlZ8Sazi6/Idid7PCK+WPfU/WRb\na8PRW2zfD7w33y30AuBA3VRDMyuG26eZmZmZtZzJTPG9EHgP8KikR/KyTwE3AXdL2gB0AFflz/2I\nbIfQJ4Fe4P0zGrGZHUXSHcDFwHJJu4Ebcfs0MzMzsxY04TEzhQTh7fHNgCpvj+82agZuo2ZVV902\n6mNmzGbsmBkzMzMzMzOzIriDamZmZmZmZpXgDqqZmZmZmZlVwqTPQW2y3wI9+W2rWY7jLtJsjvs1\nRQRynKraRqv2+1C1eMAxTcZk46lyGzUzM5sVKrFJEoCkLa143qLjLpbjLk8Vf4aqxVS1eMAxTUbV\n4jkekl6gmoNIx1K1gYqJtFq80HoxTzfe10TEK2cqmJnkNloIx9t8hbTRqmRQzczM7DhFxCtbraPt\neJuv1WJutXinwm20+Rxv8xUVs9egmpmZmZmZWSVUqYN6S9kBHCfHXSzHXZ4q/gxVi6lq8YBjmoyq\nxWNmZjZnVWYNqpmZmR0/SRsjomU62463+Vot5laLd6pa7edzvM3VavFCcTG7g2pmZmZmZmaVUKUp\nvmZWUZIul7Rd0pOSri/h+58u6UFJ2yT9WtLH8vJXSPqZpB357cklxNYm6WFJD+SP10janNfVXZLa\nC4xlmaR7JP1G0uOS3lx2HUn6RP5/9pikOyQtKLqOJN0maZ+kx+rKxqwXZb6ax/YrSec1MzYzMzM7\nWukd1LIvfKdC0i5Jj0p6RNKWvKz0C+Qx4mzJi7Fx4v60pD15nT8i6cq6527I494u6W3lRD31zlOV\n6nwyJLUB/wxcAZwDXCPpnILDOAL8VUScA1wAfCiP4Xrg5xFxFvDz/HHRPgY8Xvf4ZuBLEfFa4CVg\nQ4GxfAX4j4j4HeB387hKqyNJq4CPAudHxOuANuBqiq+jbwOXN5SNVy9XAGflXxuBrzc5thlR9c/S\nKg8yHUuVBqAmUsUBqmOpwuBVkdxGm8NttHlKbaMRUdoX2cXKU8AZQDvwf8A5ZcY0Qby7gOUNZZ8D\nrs/vXw/cXIE4LwLOAx6bKE7gSuDHgMgu/DdXLO5PA389xmvPyX9fTgDW5L9HbSXFvQI4L7+/BHgi\nj6/ydT7Jn+/NwE/qHt8A3FByTD8E3gpsB1bU/T9sLziO08g6N5cAD+T/p78FamPVXZNjWQo8Tb50\no668tDoCVgHPAq8gO9bsAeBtZdQRsLrhb8uY9QL8C3DNWK+r6hct8Fk61b+TVfkCPgl8D3ggf3w3\ncHV+/xvAX5QdY12stwMfyO+3A8uqWr/534angYV19fq+KtfvNH9et9Hmxe022pxYS22jZWdQ3wg8\nGRE7I2IAuBNYX3JMU7We7BeO/PadJcYCQERsAl5sKB4vzvXAdyLzS2CZpBXFRHq0ceIez3rgzojo\nj4ingSfJfp8KFxGdEfFQfv8gWdZqFS1Q55OUOhnJ7rysFJJWA68HNgOnRkRn/tTzwKkFh/Nl4G+A\n4fzxKUBXRBzJHxdZV2uAF4B/zUeTvyVpMSXWUUTsAT4PPAN0AgeArZRXR/XGq5dK/b5PUuU/S4/j\n72TpJJ0G/AHwrfyxyAaj7slfUpl4JS0lG+S9FSAiBiKiiwrXL9mg1UJJNWAR2d+IStbvDHAbbQK3\n0aYrrY2W3UFttQuBAH4qaaukjXlZ2RfIk9XKF2MfzqfC3lY39aGScU+y81TJ2FuBpBOBe4GPR0R3\n/XORDecVtuubpLcD+yJia1HfcwI1shkIX4+I1wM9NEznLaGOTib78F0DrAQW8/KptqUrul6aoKX+\nplRskOlYqjQANZHKDVAdS8UHr5rBbbQ53EabpOw2WnYHtdW8JSLOI1uj9CFJF9U/2SoXOa0SZ+7r\nwJnAuWQN5AvlhjO+KnWeZtge4PS6x6flZYWSNJ+sfr8bEfflxXtT9jm/3VdgSBcC75C0i2w0/BKy\nNaDL8tFGKLaudgO7I2Jz/vgesg5rmXV0GfB0RLwQEYPAfWT1VlYd1RuvXirx+z5btcrfyQoOQE2k\ncgNUx9Iqg1dzkdto07iNTkHZHdSWuhDIRxOIiH3A98mmbJR58TcVLXkxFhF7I2IoIoaBbzI6jbdS\ncU+x81Sp2Cfhf4Gz8oXx7WSb3NxfZAD5tJ1bgccj4ot1T90PXJvfv5ZsbWohIuKGiDgtIlaT1cl/\nRsSfAA8C7yo6poh4HnhW0tl50aXANkqsI7KR1wskLcr/D1NMpdRRg/Hq5X7gvcpcAByoG92uqpb4\nm1LBQaZjqdoA1ESqOEB1LFUevGoGt9GZ5zbaXKW20bI7qKVf+E6WpMWSlqT7wO8Dj1Huxd9UMFcq\n8gAAAeRJREFUtOTFWMPazD8kq3PI4r5a0gmS1pDtuPk/RccHx9V5qnSdN8qncnwY+AnZmpS7I+LX\nBYdxIfAe4BIdvaPzTcBbJe0g+2N6U8FxjeU64JOSniSbbnRrgd/7I8B3Jf2KbNbBP1FiHeUfxPcA\nDwGPkn3m3ELBdSTpDuC/gbMl7Za0gfHr5UfATrJ17d8E/rKZsc2Qyn+WVnGQ6ViqNgA1kYoOUB1L\nlQevmsFtdIa5jTZdqW1UWTa5PPlF5pfJdji7LSI+W2pA45B0BlnWFLI0/fci4rOSTiHb0erVQAdw\nVURMdqOfpsgvxi4GlgN7gRuBHzBGnPkv3dfI0va9wPsjYkuF4r6Y7EI7yHZR/mDqzEn6W+DPyI4g\n+XhE/LjwoLM43gL8guwCPK2D+BTZ2o1K17mZzQ5V/yyd6t/JUoIch6SLyXaTf3t+LXAn2c7UDwN/\nGhH9ZcaXSDqXbLOYdrJBlveTDQpVsn4lfQZ4N9ln+MPAB8jWs1WyfqfLbbR53Eabo8w2WnoH1czM\nzMzMzAzKn+JrZmZmZmZmBriDamZmZmZmZhXhDqqZmZmZmZlVgjuoZmZmZmZmVgnuoJqZmZmZmVkl\nuINqZmZmZmZmleAOqpmZmZmZmVWCO6hmZmZmZmZWCf8PGVXlkhNJ5/QAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f19c3014198>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#image = plt.imread('/home/jeanpat/DeepFISH-Github_projects/DeepFISH/dataset/LowRes/train/grey/grey0100048.png')\n",
"#grey0044126.png\n",
"image = nd.imread('/home/jeanpat/DeepFISH-Github_projects/DeepFISH/dataset/FullRes/validation/grey/grey0044126.png')\n",
"groundtruth = nd.imread('/home/jeanpat/DeepFISH-Github_projects/DeepFISH/dataset/FullRes/validation/groundtruth/gtruth0044126.png')\n",
"\n",
"image = 255.0*image/image.max()\n",
"image = image.astype(np.uint8)\n",
"print (image.shape, image.max(),image.dtype)\n",
"zoomed = image[::2,::2]\n",
"print (zoomed.shape, zoomed.max(),zoomed.dtype)\n",
"\n",
"#need to cut/patch the image to shape (88,88)\n",
"assay = np.zeros((88,88), dtype = image.dtype)\n",
"assay = zoomed[8:96,8:96]\n",
"gtru_z = groundtruth[::2,::2]\n",
"gtruth_z_cut = gtru_z[8:96,8:96]\n",
"\n",
"plt.figure(figsize=(16,4))\n",
"plt.subplot(141)\n",
"plt.title('Full resolution')\n",
"plt.imshow(image, cmap = plt.cm.gray)\n",
"\n",
"plt.subplot(142)\n",
"plt.title('Down sampled resolution')\n",
"plt.imshow(zoomed, cmap = plt.cm.gray)\n",
"\n",
"plt.subplot(143)\n",
"plt.title('Cut to fit 88x88')\n",
"plt.imshow(assay, cmap = plt.cm.gray)\n",
"\n",
"plt.subplot(144)\n",
"plt.title('Groundtruth segmentation')\n",
"plt.imshow(gtruth_z_cut, cmap=plt.cm.jet)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Now,let's predict the segmentation labels of this this image:\n",
"\n",
"The grey scaled image must be converted into 4D tensor (4D numpy array):"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"input: (1, 88, 88, 1)\n"
]
}
],
"source": [
"#####ugly trick \n",
"x_assay = np.zeros((1,88,88,1), dtype = image.dtype)\n",
"print ('input:', x_assay.shape)\n",
"x_assay[0, :,:, 0] = assay"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1/1 [==============================] - 0s\n"
]
}
],
"source": [
"prediction_3 = model_reloaded.predict(x=x_assay, batch_size=1, verbose=1)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA2oAAADlCAYAAAAiJQSbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBklEQVT/AVUFBcNsUMGIAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f1ad0509f60>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"N = 0\n",
"plt.figure(figsize=(15,16))\n",
"semantic_labels = [0, 1, 2, 3]\n",
"for l in semantic_labels:\n",
" plt.subplot(1,4,l+1)\n",
" plt.title(prediction_3[N,:,:,l].max())\n",
" #plt.colorbar()\n",
" plt.imshow(prediction_3[N,:,:,l], vmin=-0.05,vmax = 1.1, interpolation='nearest', cmap=plt.cm.spectral)"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"## Back convert the one hot encoded prediction, into a multilabel image:\n",
"\n",
" * First make a binary image from each component of the prediction\n",
" * Combine into a multilabel and compare to the groundtruth\n",
"\n",
"The prediction was made with a model trained only on 14 epochs."
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"background = prediction_3[N,:,:,0] / prediction_3[N,:,:,0].max(); background = background > 0.5\n",
"Chrom_1 = prediction_3[N,:,:,1] / prediction_3[N,:,:,1].max(); Chrom_1 = Chrom_1 > 0.5\n",
"Chrom_2 = prediction_3[N,:,:,2] / prediction_3[N,:,:,2].max(); Chrom_2 = Chrom_2 > 0.5\n",
"overlap = prediction_3[N,:,:,3] / prediction_3[N,:,:,3].max(); overlap = overlap > 0.5\n",
"\n",
"predicted_multilabel = 0*background + 1*Chrom_1 + 2*Chrom_2 + 3*overlap"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA5IAAADbCAYAAAAfzq4rAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f19c2d1cda0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,4))\n",
"plt.suptitle(\"Predicted segmentation vs groundtruth segmentation\", fontsize =22)\n",
"\n",
"titles = ['background', 'chromosome 1','chromosome 2', 'overlap', 'predicted multilabel', 'groundtruth']\n",
"images = [background, Chrom_1, Chrom_2, overlap, predicted_multilabel, gtruth_z_cut]\n",
"\n",
"for i, (im, ti) in enumerate(zip(images, titles)):\n",
" plt.subplot(1,6,i+1,xticks=[], yticks=[])\n",
" plt.title(ti)\n",
" plt.imshow(im,interpolation='nearest', cmap=plt.cm.jet)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment