diff --git a/2.1 Hidden Layer Representation and Embeddings.ipynb b/2.1 Hidden Layer Representation and Embeddings.ipynb
index 64f17ab..72a1e44 100644
--- a/2.1 Hidden Layer Representation and Embeddings.ipynb	
+++ b/2.1 Hidden Layer Representation and Embeddings.ipynb	
@@ -121,6 +121,28 @@
     "# %load solutions/sol21.py"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# %load solutions/sol21.py\n",
+    "from keras.models import Sequential\n",
+    "from keras.layers.core import Dense, Dropout\n",
+    "from keras.optimizers import SGD\n",
+    "\n",
+    "model = Sequential()\n",
+    "model.add(Dense(512, activation='relu', input_shape=(784,)))\n",
+    "model.add(Dense(512, activation='relu'))\n",
+    "model.add(Dense(10, activation='softmax'))\n",
+    "\n",
+    "model.compile(loss='categorical_crossentropy', optimizer=SGD(), \n",
+    "              metrics=['accuracy'])"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -216,7 +238,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x11d16ceb8>"
+       "<matplotlib.image.AxesImage at 0x7f8f12a02518>"
       ]
      },
      "execution_count": 7,
@@ -225,9 +247,9 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x128a16b00>"
+       "<matplotlib.figure.Figure at 0x7f8f0a751710>"
       ]
      },
      "metadata": {},
@@ -265,7 +287,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x11d3579e8>"
+       "<matplotlib.image.AxesImage at 0x7f8f1292c748>"
       ]
      },
      "execution_count": 9,
@@ -274,9 +296,9 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAP8AAAD8CAYAAAC4nHJkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTrt7TSUezkQAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x11d197518>"
+       "<matplotlib.figure.Figure at 0x7f8f129b1198>"
       ]
      },
      "metadata": {},
@@ -297,7 +319,7 @@
      "output_type": "stream",
      "text": [
       "[0 1 2 3 4 5 6 7 8 9]\n",
-      "[0 0 0 1 0 0 0 0 0 0]\n"
+      "[1 0 0 0 0 0 0 0 0 0]\n"
      ]
     }
    ],
@@ -327,9 +349,9 @@
      "text": [
       "Train on 45000 samples, validate on 15000 samples\n",
       "Epoch 1/2\n",
-      "45000/45000 [==============================] - 6s - loss: 1.2717 - acc: 0.7238 - val_loss: 0.6574 - val_acc: 0.8535\n",
+      "45000/45000 [==============================] - 8s - loss: 1.2375 - acc: 0.7294 - val_loss: 0.6443 - val_acc: 0.8592\n",
       "Epoch 2/2\n",
-      "45000/45000 [==============================] - 6s - loss: 0.5226 - acc: 0.8696 - val_loss: 0.4406 - val_acc: 0.8867\n"
+      "45000/45000 [==============================] - 1s - loss: 0.5174 - acc: 0.8721 - val_loss: 0.4334 - val_acc: 0.8887\n"
      ]
     }
    ],
@@ -353,9 +375,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEKCAYAAAD9xUlFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEKCAYAAAD9xUlFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/w/rMOoQeiTo9AAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1068989b0>"
+       "<matplotlib.figure.Figure at 0x7f8f54da0240>"
       ]
      },
      "metadata": {},
@@ -363,9 +385,9 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEKCAYAAADjDHn2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xd4VGXa+PHvTUhISKeXEBJ6QqSEIYgNEXABRewSC4vr\nymt/X8uu6I9VQF1Z166sigrWlXV1dQNSbNhRCBY0oQUIEELvpJf798cMMAkJGSCTyST357pyMefM\nc87ch8C553nOU0RVMcYYY46nia8DMMYYU/9ZsjDGGFMjSxbGGGNqZMnCGGNMjSxZGGOMqZElC2OM\nMTWyZGGMMaZGliyMMcbUyJKFMcaYGjX1dQC1pVWrVhoXF+frMIwxxq8sX758l6q2rqlcg0kWcXFx\npKen+zoMY4zxKyKy0ZNy1gxljDGmRpYsjDHG1MiShTHGmBpZsjDGGFMjSxbGGGNqZMnCGGNMjSxZ\nGGOMqVGDGWdhjDGNRtFB2LsR9mY7f4JCwXG9Vz/SkoUxxtQ35WVwYMvRZLA3u2JyyN9VsXzMQEsW\nxhjTIBXsc974922slBSyYd9mKC85WlYCIKoTRHWGXhdAdFzFn5Bor4drycIYY7yhrAT25xybCA7/\nFO6rWD6kBUR3hvZ9IXFsxWQQEQMBvr1dW7IwxpiToQoFe2HvhqqTwf4toGVHyzcJhKhY582/44BK\ntYPOEBxZ55dwIixZGGNMdUqLnE1Ce7MrJYWNzuajogMVy4e2dt78Ow2CPnEVE0J4e2gSULfx1yKv\nJgsRGQk8AwQAr6jq9ErvxwKvA1GuMpNUdb6IBAKvAMmuGN9Q1Ue9GasxphFShbyd1T9IPrAF0KPl\nmwY7nxtEx0HnM47WCqLjnPubhdX5JdQVryULEQkAZgAjgBxgmYikqWqmW7HJwLuq+oKIJALzgTjg\nCqCZqp4mIs2BTBF5R1WzvRWvMaaBKik4mgCqephckl+xfHh7580//uyjieHwT1hbaNI4h6d5s2aR\nAmSp6noAEZkDjAXck4UCEa7XkUCu2/5QEWkKhADFQKX6njHGAOXlcGhbxRqB+8+hbRXLB4Yevfl3\nObdiMoiKhcCQuovdj3gzWXQENrtt5wCDKpWZAnwsIrcDocBw1/73cCaWrUBz4E5V3VP5A0RkIjAR\nIDY2tjZjN8bUJ0WHqq4VHG42KityKywQ0dF58+82/NhupqGtQKSOL8D/eTNZVPXb0ErbqcBrqvqE\niAwG3hSRJJy1kjKgAxANfC0inx6upRw5mepMYCaAw+GofG5jjL8oL4MDudV3M608CK1ZhPNZQeue\n0ON3bskgHiJjoGmzuo2/EfBmssgBOrltx3C0memwG4CRAKq6RESCgVbA1cBCVS0BdojIt4ADWI8x\nxj8V7q+6VrA3G/ZtOnYQWmSMMwFUNwjNagd1ypvJYhnQXUTigS3AOJxJwN0mYBjwmogkAMHATtf+\n80TkLZzNUKcDT3sxVmPMqao8CK1ys1HB3orlQ6KdN/72fSDxoqM9iqLjnIkiILBu4zfH5bVkoaql\nInIbsAhnt9hZqpohItOAdFVNA+4GXhaRO3E2UU1QVRWRGcBs4DeczVmzVXWFt2I1xnjgyCC07GoG\noeVUPwitQ/LRLqaHk0JIVJ1fgjl5otowmvodDoemp6f7Ogxj/FtpMezfXM2o5OMMQqvcxTQ6DiI6\n+PUgtMZCRJarqqOmcjaC25jGRBXydlVfO6g8CC2g2dEaQezgSt1MG/YgNFORJQtjGpqSAucD4+oe\nJpfkVSwf1s55848769jaQSMehGYqsmRhjL8pL4dD26t/kHxwa8Xygc3dBqENsUFo5qRYsjCmPqow\nCK1SMti3EUoL3Qq7DULrOuzY2UxDW1s3U3PKLFkY4wvlZc4aQHXPDvJ2ViwfFA4t4qB1D+hxvuuB\ncryrdtDJBqEZr7NkYYy3FO6vfr6i4w1C6zmqUu0g3gahmeMqKSsnMMC7z5YsWRhzsspK4UB1K6Ft\nhIJK05mFRDtrBO1Og4QxFROCDUIzJ2HLvgL+On8lKMy4Jtmrn2XJwpjqVDUIzf1h8r7NlQahNXUb\nhNb/2G6mNgjN1JLCkjJe/HIdL365DlW4aUhXVBXxYu3TkoVp3CoMQqvcZLQRivZXLN+8lWtZTAck\nXW6D0EydUlXm/7qNv85fyZZ9BVxwWnvuG92LmOjmXv9sSxamYVOF/N1uCWADFXoYHdgCWn60fIVB\naKdXrBlEd4Zm4T64CGNg5dYDTJ2bwffr95DQPoInruzL6V1a1tnnW7Iw/q+ksJpBaNnHH4TW+cyK\ny2JGxznfs0Foph7Zk1fMk5+s5p8/bCIyJJCHL04iNSWWgCZ12+HBkoWp/1QrDkKr3FR0sNLM9+6D\n0OLPOXYQWpD3q+zGnKrSsnLe+n4jT326lkNFpYwfHMf/De9OVPMgn8RjycLUD8V5VQ8+O5wQSgvc\nCh8ehNYZug6tYiU0G4Rm/Nu3WbuYOjeDNdsPcWa3ljxwYW96tvNtE6glC1M3ysudNYDK8xQdGYS2\no2L5oHDnjb9lN7elMW0QmmnYNu/J5+GPMlmUsZ1OLUJ48doB/K53W6/2cvKUJQtTewoPVL9O8r5N\nUFZ8tKw0cRuENtIGoZlGLb+4lH8sXsfMr9cTIMKffteTG86KJziw/vSu82qyEJGRwDM4Fz96RVWn\nV3o/FngdiHKVmaSq813v9QFeAiKAcmCgqrpPiGPqWlmps/dQdQ+SKw9CC45y3vzbJkGvCyvOVxTZ\nyQahmUZPVUn7JZdH569i24FCLu7XgUmjEmgXGezr0I7htWQhIgHADGAEzvW4l4lImqpmuhWbDLyr\nqi+ISCIwH4gTkabAW8B1qvqLiLQESjDeV9NKaOWlR8tWGIR2caVFcDo7awfGmCr9mrOfKXMzWL5x\nL6d1jGTGNf0Z0LmFr8OqljdrFilAlqquBxCROcBYwD1ZKM6aA0AkcLhby/nAClX9BUBVd3sxzsbl\nyCC07KofJhcebxDaZZUGoXW0QWjGnKBdh4r4+8LVvLt8My1Dg/jbZadxxYBONKnjrrAnypvJoiOw\n2W07BxhUqcwU4GMRuR0IBYa79vcAVEQWAa2BOar6mBdjbTiOGYSWXfGh8oGcqgehRXWGmJRjp7e2\nQWjG1Iri0nLeWJLNM5+upaCkjBvOjOeO4d2JCPaP5lhvJouq0mTlBb9TgddU9QkRGQy8KSJJrrjO\nAgYC+cBnrnViP6vwASITgYkAsbGxtR1//XV4EFp1D5OLD1UsH9bWNQht8LHdTG0QmjFe98XqHUyb\nl8n6nXkM6dGav1yYSLc2/rUkrTeTRQ7QyW07hqPNTIfdAIwEUNUlIhIMtHId+6Wq7gIQkflAMlAh\nWajqTGAmgMPhqJyI/JcqHNpR/bODyoPQmoYcvfnHnW2D0IypJzbsyuPheZl8tmoH8a1CmTXBwdCe\nbepFV9gT5c1ksQzoLiLxwBZgHHB1pTKbgGHAayKSAAQDO4FFwJ9FpDlQDAwBnvJirHWvOL/6mkGV\ng9A6uFZCqzQILaozhLWxbqbG1CMHC0t4/vMsZn27gWZNA7hvVC+uPzOeoKb+W4v3WrJQ1VIRuQ3n\njT8AmKWqGSIyDUhX1TTgbuBlEbkTZxPVBFVVYK+IPIkz4SgwX1U/8lasXlFeXv1KaPs2OqevcBcU\n5hxfUGEQmusnshME1r+udMaYisrLlfd/zOGxRavZebCIywfE8OeRPWkT7v//f8V5b/Z/DodD09PT\n6/ZDiw4eWyNwTwjVDUKr0MXUNSq5eQurHRjjx37atJcpczP5ZfM++nWKYspFvenXqf6vYeJ6Huyo\nqZyN4D4e90FoVTUZ5Vfq0XtkEFoi9Bp9bO3ABqEZ0+DsOFDI9IWr+M+PW2gd3ownrujLJf071vuu\nsCfKkkVZCWzPqGYQ2uZjB6FFdnLe/BMuOrabqQ1CM6bRKCotY9Y32Tz/+VpKypSbz+3KrUO7Edas\nYd5WG+ZVnYj8PTBzyNHt5i1dg9CSIenSigkhvAME2F+ZMY2ZqvLZyh08/FEm2bvzGZ7QlskXJBDX\nKtTXoXmV3fnC2sBVb9sgNGNMjbJ2HGTq3Ey+XruLbm3CeOMPKZzTo7Wvw6oTlixEIOFCX0dhjKnH\n9heU8Myna3ljSTYhQQH85cJExg/uTGCA/3aFPVGWLIwxphpl5cq76Zt5fNFq9uQXM25gJ+45vyct\nwxrfeiqWLIwxpgrLsvcwJS2DjNwDDIyL5vUxKSR1jPR1WD5jycIYY9zk7itg+oJVpP2SS/vIYJ5N\n7c+YPu39coqO2mTJwhhjgMKSMmZ+tZ4XvlhHuSp3nNeNm87tSvMgu02CJQtjTCOnqiz8bRuPzF9J\nzt4CRiW14/7RCXRqYRNwurNkYYxptFZtO8DUtEyWrN9Nz7bh/PPGQZzRtZWvw6qXLFkYYxqdffnF\nPPnJGt76fiMRIYE8NLY3qSmxNG1EXWFPlCULY0yjUVpWzjtLN/HEJ2s4UFDCtad35s7hPYgODfJ1\naPWeJQtjTKPw3bpdTJubyaptBxncpSUPXpRIr3YRvg7Lb1iyMMY0aJv35PPX+StZ8Ns2OkaF8MI1\nyYxMatfou8KeKK8mCxEZCTyDc/GjV1R1eqX3Y4HXgShXmUmqOr/S+5nAFFV93JuxGmMalvziUl78\nYh0vfbWeJiLcPaIHN57TheDAAF+H5pe8lixEJACYAYzAuab2MhFJU9VMt2KTgXdV9QURSQTmA3Fu\n7z8FLPBWjMaYhkdVmbtiK4/OX8nW/YVc1LcDk0b1okNUiK9D82verFmkAFmquh5AROYAY3HWFA5T\n4HCjYSSQe/gNEbkYWA/keTFGY0wD8tuW/Uybm8nS7D307hDBs6n9GRjXwtdhNQjeTBYdgc1u2znA\noEplpgAfi8jtQCgwHEBEQoF7cdZK7vFijMaYBmD3oSIe/3gNc5ZtIrp5EI9eehpXOjoR0MBWq/Ml\nbyaLqn5LlRf8TgVeU9UnRGQw8KaIJAFTgadU9dDxHkKJyERgIkBsbGztRG2M8RslZeW8sWQjT3+6\nhoLiMq4/I57/Hd6dyBBbwri2eTNZ5ACd3LZjcGtmcrkBGAmgqktEJBhohbMGcrmIPIbz4Xe5iBSq\n6vPuB6vqTGAmgMPhqJyIjDEN2FdrdjJtXiZZOw5xTo/WPHBhAt3a2OJl3uLNZLEM6C4i8cAWYBxw\ndaUym4BhwGsikgAEAztV9ezDBURkCnCocqIwxjROG3fn8dC8lXy6cjudWzbnlfEOhiW0sa6wXua1\nZKGqpSJyG7AIZ7fYWaqaISLTgHRVTQPuBl4WkTtxNlFNUFWrIRhjjnGoqJQZi7N49esNBAYI947s\nxR/OiqNZU+sKWxekodybHQ6Hpqen+zoMY0wtKy9XPvx5C9MXrGLHwSIuTe7IvSN70TYi2NehNQgi\nslxVHTWVsxHcxph66+fN+5g6N4OfNu2jb6coXrpuAP1jo30dVqNkycIYU+/sOFjIYwtX897yHFqH\nN+PxK/pyaf+ONLGusD5jycIYU28Ul5Yz+9sNPPd5FkWlZfzPkC7cNrQb4cHWFdbXLFkYY+qFz1dt\n56F5K9mwK49hvdow+cJE4luF+jos42LJwhjjU+t2HuKheZl8sXonXVqH8tr1Azm3Zxtfh2UqsWRh\njPGJA4UlPPvpWl77LpuQwAAmX5DA+MFxBDW11erqI0sWxpg6VV6u/Hv5Zv6+aDW784q5ytGJe37X\nk1ZhzXwdmjkOSxbGmDqzfOMepqRl8uuW/QzoHM3sCSmcFhPp67CMByxZGGO8btv+QqYvWMmHP+fS\nLiKYZ8b146K+HWyKDj9iycIY4zWFJWW88vV6ZixeR5kqtw3txs3ndiW0md16/I39xowxtU5VWZSx\nnUfmZ7J5TwEje7fj/tEJxLZs7uvQzEmyZGGMqVVrth9k6twMvs3aTY+2Ybz9x0Gc2a2Vr8Myp8iS\nhTGmVuzPL+GpT9fw5vcbCWvWlKkX9eaaQbE0DbCusA2BJQtjzCkpK1f+uXQTT368mv0FJVw9KJa7\nRvSkRWiQr0MztciShTHmpH2/fjdT0jJYte0gg+Jb8OCY3iR2iPB1WMYLvFo/FJGRIrJaRLJEZFIV\n78eKyGIR+UlEVojIaNf+ESKyXER+df15njfjNMacmJy9+dz69o+Mm/k9BwtLmXF1MnMmnm6JogGr\nsWbhWu3ubVXdeyInFpEAYAYwAud63MtEJE1VM92KTQbeVdUXRCQRmA/EAbuAMaqaKyJJOFfb63gi\nn2+MqX0FxWW8+OU6XvxyHSJw5/AeTDynCyFBtlpdQ+dJM1Q7nDf6H4FZwCIPlz5NAbJUdT2AiMwB\nxgLuyUKBw19FIoFcAFX9ya1MBhAsIs1UtciDzzXG1DJV5aNft/Lo/FVs2VfAhX3ac9/oBDpGhfg6\nNFNHakwWqjpZRP4CnA9cDzwvIu8Cr6rquuMc2hHY7LadAwyqVGYK8LGI3A6EAsOrOM9lwE+WKIzx\njYzc/Uydm8nSDXtIaB/Bk1f2ZVCXlr4Oy9Qxjx5wq6qKyDZgG1AKRAPvicgnqvrnag6rahx/5RpJ\nKvCaqj4hIoOBN0UkSVXLAUSkN/A3nInq2A8QmQhMBIiNjfXkUowxHtqTV8zjH69mztJNRIYE8sgl\nSYwbGEuArVbXKHnyzOIO4Pc4nyO8AvxJVUtEpAmwFqguWeQAndy2Y3A1M7m5ARgJoKpLRCQYaAXs\nEJEY4ANgfHU1GFWdCcwEcDgcnjSNGWNqUFJWzlvfb+SpT9aQV1zG+MFx3Dm8B5HNbbW6xsyTmkUr\n4FJV3ei+U1XLReTC4xy3DOguIvHAFmAccHWlMpuAYcBrIpIABAM7RSQK+Ai4T1W/9exSjDGn6pu1\nu5g6N4O1Ow5xVrdWPDAmkR5tw30dlqkHPEkW84E9hzdEJBxIVNUfVHVldQepaqmrJ9UiIACYpaoZ\nIjINSFfVNOBu4GURuRNnE9UEV5PXbUA34C+u5yUA56vqjpO5SGPM8W3anc/DH2XyceZ2Yls0Z+Z1\nAxiR2NZmhTVHSE0dm0TkJyD5cA8oV/NTuqom10F8HnM4HJqenu7rMIzxK3lFpcxYnMUrX2+gaYBw\n69Bu3HBWPMGB1hW2sRCR5arqqKmcJzULce8q62p+spHfxvgxVeXDn7cwfcEqth8o4pL+Hbl3ZC/a\nRQb7OjRTT3ly01/vesj9gmv7FmC990IyxnjTipx9TEnL4MdN++gTE8k/rhnAgM7Rvg7L1HOeJIub\ngGdxjrZW4DNc3VWNMf5j58Ei/r5oFf9enkPL0CAeu6wPlw+IoYl1hTUe8GRQ3g6cPZmMMX6ouLSc\n17/L5tnP1lJYWsaNZ3fhtvO6ERFsXWGN5zwZZxGMczxEb5xdWwFQ1T94MS5jTC1YvHoHD83LZP3O\nPIb2bM1fLkykS+swX4dl/JAnzVBvAquA3wHTgGuAarvMGmN8b/3OQzw0L5PFq3fSpVUosycMZGiv\nNr4Oy/gxT5JFN1W9QkTGqurrIvJPnGMnjDH1zMHCEp77PIvZ326gWdMA7h/diwlnxBPU1FarM6fG\nk2RR4vpzn2u68G04pxE3xtQT5eXKez/m8NjC1ew6VMQVA2L408ietAm3rrCmdniSLGaKSDTO3lBp\nQBjwl+MfYoypKz9u2svUtAx+ydlP/9goXv29g76donwdlmlgjpssXKO1D7gWPvoK6FInURljarT9\nQCF/W7CK//y0hbYRzXjqqr6M7dvRusIarzhusnCN1r4NeLeO4jHG1KCwpIxXv9nAjMVZlJYpt5zb\nlVuHdiO0mU2sYLzHk39dn4jIPcC/gLzDO1V1T/WHGGNqm6rySeZ2Hv5oJZv25DMisS2TL0igc8tQ\nX4dmGgFPksXh8RS3uu1TrEnKmDqzdvtBps3L5Ou1u+jWJow3b0jh7O6tfR2WaUQ8GcEdXxeBGGOO\ntb+ghKc/XcMbSzbSPCiABy5M5LrBnQkMsK6wpm55MoJ7fFX7VfWN2g/HGANQVq78a9lmHv94NXvz\ni0lNieXuET1oGdbM16GZRsqTZqiBbq+Dca5s9yNgycIYL1i6YQ9T0jLI3HqAlLgWPHhRIr07RPo6\nLNPIedIMdbv7tohE4pwCpEYiMhJ4BudKea+o6vRK78cCrwNRrjKTVHW+6737cM5JVQbcoao2atw0\naLn7Cvjr/JXMW7GVDpHBPJfanwv7tLfV6ky9cDJ97fKB7jUVEpEAYAYwAsgBlolImqpmuhWbDLyr\nqi+ISCLOJVzjXK/H4Zy8sAPwqYj0UNWyk4jXmHqtsKSMl75czwtfZqEKdwzrzs1DuhISZKvVmfrD\nk2cWc3H2fgJoAiTi2biLFCBLVde7zjMHGAu4JwsFIlyvI4Fc1+uxwBxVLQI2iEiW63xLPPhcY/yC\nqrLgt2088tFKtuwr4ILT2nPf6F7ERDf3dWjGHMOTmsXjbq9LgY2qmuPBcR2BzW7bOcCgSmWmAB+L\nyO1AKDDc7djvKx3bsfIHiMhEXAsxxcbGehCSMfXDyq0HmDo3g+/X76FXu3DeufF0Bndt6euwjKmW\nJ8liE7BVVQsBRCREROJUNbuG46pqaNVK26nAa6r6hIgMBt50TVboybGo6kxgJoDD4TjmfWPqm715\nxTz5yRre/mEjESGBPHRxEqkDO9HUusKaes6TZPFv4Ay37TLXvoFVFz8iB+jkth3D0Wamw24ARgKo\n6hLXQkutPDzWGL9RWlbO2z9s4slP1nCoqJTrTu/MnSN6ENU8yNehGeMRT5JFU1UtPryhqsUi4sm/\n8GVAdxGJB7bgfGB9daUym3B2xX1NRBJwds3diXN223+KyJM4H3B3B5Z68JnG1DvfZe1i6txMVm8/\nyBldW/LgmN70bBfu67CMOSGeJIudInKRqqYBiMhYYFdNB6lqqWsSwkU4u8XOUtUMEZkGpLvOdzfw\nsojcibOZaYKqKpAhIu/ifBheCtxqPaGMv9m8J59HPlrJwoxtxESH8OK1A/hd77bWFdb4JXHem49T\nQKQr8DbOb/jgbCIar6pZXo7thDgcDk1PT/d1GMaQX1zKC1+s46Wv1hMgwq1Du/LHs7sQHGhdYU39\nIyLLVdVRUzlPBuWtA04XkTCcyeVgbQRoTEOjqqT9ksv0BavYur+Qsf06MGlUL9pHhvg6NGNOmSfj\nLP4KPKaq+1zb0cDdqjrZ28EZ4y9+27KfKWkZpG/cS1LHCJ5L7Y8jroWvwzKm1njyzGKUqt5/eENV\n94rIaJyjr41p1HYdKuLxRav5V/pmWjQP4m+XncblAzoRYKvVmQbGk2QRICLNXKOpEZEQwKa+NI1a\nSVk5r3+XzTOfraWguIwbzoznjuHdiQgO9HVoxniFJ8niLeAzEZnt2r4e5+R/xjRKX67ZybS5Gazb\nmceQHq35y4WJdGsT5uuwjPEqTx5wPyYiK3BOxSHAQqCztwMzpr7J3pXHwx9l8unKHcS1bM6rv3dw\nXq821hXWNAqezjq7DSgHrgQ2AO97LSJj6plDRaU89/laZn2zgaCAJkwa1Yvrz4yjWVPrCmsaj2qT\nhYj0wDnqOhXYDfwLZ9fZoXUUmzE+VV6u/OenLfxt4Sp2Hizi8gEx/HlkT9qEB/s6NGPq3PFqFquA\nr4ExhwfguUZaG9Pg/bRpL1PmZvLL5n306xTFy+Md9OsU5euwjPGZ4yWLy3DWLBaLyEJgDlXPBmtM\ng7HjQCF/W7ia93/MoXV4M564oi+X9O9IE+sKaxq5apOFqn4AfCAiocDFwJ1AWxF5AfhAVT+uoxiN\n8bqi0jJmf5vNc5+tpaRMuWlIV247rxthzU5mMUljGh5PekPl4Zwb6m0RaQFcAUwCLFkYv6eqfLZy\nBw9/lEn27nyGJ7Rl8gUJxLUK9XVoxtQrJ/S1SVX3AC+5fozxa1k7DjFtXiZfrdlJ19ahvP6HFIb0\naO3rsIypl6yObRqd/QUlPPvZWl7/LpuQoAD+cmEi4wd3JtBWqzOmWpYsTKNRVq78O30zf1+0mj35\nxYwb2Im7z+9JqzCbvcaYmng1WYjISOAZnIsfvaKq0yu9/xRweNxGc6CNqka53nsMuABoAnwC/K/W\ntPiGMdVIz97DlLkZ/LblAI7O0bx+UQpJHSN9HZYxfsNryUJEAoAZwAicCyYtE5E0Vc08XEZV73Qr\nfzvQ3/X6DOBMoI/r7W+AIcAX3orXNExb9xfw6PxVpP2SS7uIYJ4Z14+L+nawKTqMOUHerFmkAFmq\nuh5AROYAY3EulVqVVOBB12vFuR53EM6xHYHAdi/GahqYwpIyXv5qPf/4Yh1lqtxxXjduOrcrzYOs\n5dWYk+HN/zkdgc1u2znAoKoKikhnIB74HEBVl4jIYmArzmTxvKqu9GKspoFQVRZlbOPhj1aSs7eA\nUUntuH90Ap1aNPd1aMb4NW8mi6rq+dU9cxgHvKeqZQAi0g1IAGJc738iIueo6lcVPkBkIjARIDY2\ntlaCNv5r1bYDTJubyXfrdtOzbTj//OMgzujWytdhGdMgeDNZ5ACd3LZjgNxqyo4DbnXbvgT4XlUP\nAYjIAuB0oEKyUNWZwEwAh8NhD78bqX35xTz5yRre+n4j4cGBTBvbm6tTYmlqXWGNqTXeTBbLgO4i\nEg9swZkQrq5cSER6AtHAErfdm4AbReRRnDWUIcDTXozV+KHSsnLeWbqJJz5Zw4GCEq4Z1Jm7RvQg\nOjTI16EZ0+B4LVmoaqmI3AYswtl1dpaqZojINCBdVdNcRVOBOZW6xb4HnAf8irPpaqGqzvVWrMb/\nLFm3m6lzM1i17SCnd2nBg2N6k9A+wtdhGdNgSUMZuuBwODQ9Pd3XYRgvy9mbz1/nr2T+r9voGBXC\n5AsSGJnUzrrCGnOSRGS5qjpqKmf9CI1fKCgu44Uvsnjpq/WIwF0jejDxnC4EB9pqdcbUBUsWpl5T\nVeau2Mqj81eydX8hY/p24L5RvegQFeLr0IxpVCxZmHrrty37mTY3k6XZe0hsH8Ez4/qTEt/C12EZ\n0yhZsjD1zu5DRTz+8RrmLNtEdPMg/nrJaVw1sBMBtlqdMT5jycLUGyVl5by5ZCNPf7qG/OIyrj8j\nnv8d1p0f/HahAAAXOklEQVTI5oG+Ds2YRs+ShakXvl67k2lzM1m74xBnd2/Fg2MS6dYm3NdhGWNc\nLFkYn9q4O4+H5q3k05Xb6dyyOS+PdzA8oY11hTWmnrFkYXwir6iU5xdn8erXG2gaIPx5ZE9uOCue\nZk2tK6wx9ZElC1OnysuVD3/ewvQFq9hxsIhL+3fk3lG9aBsR7OvQjDHHYcnC1JlfNu9jytwMftq0\nj74xkbx43QCSY6N9HZYxxgOWLIzX7ThYyN8Xrubfy3NoFdaMv1/eh8uSY2hiXWGN8RuWLIzXFJeW\nM/vbDTz3eRZFpWX8zzlduO28boQHW1dYY/yNJQvjFZ+v2s5D81ayYVce5/Vqw+QLEujSOszXYRlj\nTpIlC1Or1u08xEPzMvli9U66tApl9vUDGdqzja/DMsacIksWplYcKCzhuc/WMvvbbEICA/h/oxP4\n/RlxBDW11eqMaQi8mixEZCTwDM7Fj15R1emV3n8KGOrabA60UdUo13uxwCs4l2ZVYLSqZnszXnPi\nysuV95bn8NiiVezOK+bKAZ2453c9aR3ezNehGWNqkdeShYgEADOAETjX414mImmqmnm4jKre6Vb+\ndqC/2yneAB5R1U9EJAwo91as5uQs37iHKWmZ/LplPwM6RzN7QgqnxUT6OixjjBd4s2aRAmSp6noA\nEZkDjAUyqymfCjzoKpsINFXVTwBU9ZAX4zQnaNv+QqYvWMmHP+fSNqIZT1/Vj7H9OtgUHcY0YN5M\nFh2BzW7bOcCgqgqKSGcgHvjctasHsE9E/uPa/ykwSVXLvBeuqUlhSRmvfrOBGYuzKC1Xbh3alVvO\n7UZoM3v0ZUxD583/5VV9zaxuwe9xwHtuyaApcDbOZqlNwL+ACcCrFT5AZCIwESA2NvbUIzZVUlU+\nztzOIx+tZNOefM5PbMvkCxKJbdnc16EZY+qIN5NFDs6H04fFALnVlB0H3Frp2J/cmrA+BE6nUrJQ\n1ZnATACHw1FdIjKnYO32g0ydm8k3Wbvo0TaMt24YxFndW/k6LGNMHfNmslgGdBeReGALzoRwdeVC\nItITiAaWVDo2WkRaq+pO4Dwg3Yuxmkr255fw1KdrePP7jYQGBTBlTCLXnt6ZpgHWFdaYxshryUJV\nS0XkNmARzq6zs1Q1Q0SmAemqmuYqmgrMUVV1O7ZMRO4BPhPnU9PlwMveitUcVVauvLN0E098vJr9\nBSWkpsRy9/k9aREa5OvQjDE+JG73aL/mcDg0Pd0qH6fih/W7mTI3k5VbD5AS34IpY3qT2CHC12EZ\nY7xIRJarqqOmctaNxbBlXwF/nb+Sj1ZspUNkMM9f3Z8LTmtvXWGNMUdYsmjECorLeOmrdbz45TpU\n4f+Gd+d/zulKSJCtVmeMqciSRSOkqsz/dRt/nb+SLfsKuKBPe+4fnUDHqBBfh2aMqacsWTQymbkH\nmDo3gx827CGhfQRPXNmX07u09HVYxph6zpJFI7Enr5gnPl7NO0s3ERkSyMMXJ5GaEkuArVZnjPGA\nJYsGrrSsnLe+38iTn6whr7iM8YPjuHN4DyKb22p1xhjPWbJowL7N2sXUuRms2X6Is7q14oExifRo\nG+7rsIwxfsiSRQO0eU8+D3+UyaKM7XRqEcJL1w3g/MS21hXWGHPSLFk0IHlFpfzjiyxe/noDTZsI\nf/pdT244K57gQOsKa4w5NZYsGgBV5b8/5/LogpVsP1DEJf07cu/IXrSLDPZ1aMaYBsKShZ/7NWc/\nU+ZmsHzjXk7rGMk/rklmQOcWvg7LGNPAWLLwU7sOFfH3hat5d/lmWoYG8dhlfbh8QAxNrCusaQBK\nSkrIycmhsLDQ16E0GMHBwcTExBAYeHI9IS1Z+Jni0nLeWJLNM5+upaCkjD+eFc/tw7oTEWxdYU3D\nkZOTQ3h4OHFxcdYxoxaoKrt37yYnJ4f4+PiTOoclCz+yePUOHpqXyfqdeZzbszV/uTCRrq3DfB2W\nMbWusLDQEkUtEhFatmzJzp07T/ocliz8wIZdeTw0L5PPV+0gvlUosycMZGivNr4OyxivskRRu071\n79OSRT12sLCE5z/PYta3G2jWNID7R/diwhnxBDW11eqM8abdu3czbNgwALZt20ZAQACtW7cGYOnS\npQQF1bwY2PXXX8+kSZPo2bNntWVmzJhBVFQU11xzTe0E7kVeTRYiMhJ4BudKea+o6vRK7z8FDHVt\nNgfaqGqU2/sRwErgA1W9zZux1ifl5cr7P+bwt4Wr2XWoiCsGxPCnkT1pE25dYY2pCy1btuTnn38G\nYMqUKYSFhXHPPfdUKKOqqCpNmlT95W327Nk1fs6tt9566sHWEa99RRWRAGAGMApIBFJFJNG9jKre\nqar9VLUf8Bzwn0qneQj40lsx1kc/bdrLJS98x5/eW0GnFiH899Yz+fsVfS1RGFMPZGVlkZSUxE03\n3URycjJbt25l4sSJOBwOevfuzbRp046UPeuss/j5558pLS0lKiqKSZMm0bdvXwYPHsyOHTsAmDx5\nMk8//fSR8pMmTSIlJYWePXvy3XffAZCXl8dll11G3759SU1NxeFwHElkdcmbNYsUIEtV1wOIyBxg\nLJBZTflU4MHDGyIyAGgLLARqXPLP320/UMjfFqziPz9toU14M568si8X9+toXWFNozd1bgaZuQdq\n9ZyJHSJ4cEzvkzo2MzOT2bNn8+KLLwIwffp0WrRoQWlpKUOHDuXyyy8nMbHC92L279/PkCFDmD59\nOnfddRezZs1i0qRJx5xbVVm6dClpaWlMmzaNhQsX8txzz9GuXTvef/99fvnlF5KTk08q7lPlzWTR\nEdjstp0DDKqqoIh0BuKBz13bTYAngOuAYdV9gIhMBCYCxMbG1krQda2otIxXv9nAjM+zKClTbjm3\nK7cM7UZYM3ucZEx91LVrVwYOHHhk+5133uHVV1+ltLSU3NxcMjMzj0kWISEhjBo1CoABAwbw9ddf\nV3nuSy+99EiZ7OxsAL755hvuvfdeAPr27Uvv3ieX5E6VN+9IVX0l1mrKjgPeU9Uy1/YtwHxV3Xy8\nJ/iqOhOYCeBwOKo7d72kqny6cgcPf5TJxt35jEhsy+QLEujcMtTXoRlTr5xsDcBbQkOP/h9du3Yt\nzzzzDEuXLiUqKoprr722yoGE7g/EAwICKC0trfLczZo1O6aMav24tXmzW00O0MltOwbIrabsOOAd\nt+3BwG0ikg08DowXkelVHeiPsnYcZPyspdz4RjqBAU1484YUXh7vsERhjJ85cOAA4eHhREREsHXr\nVhYtWlTrn3HWWWfx7rvvAvDrr7+SmVldS753ebNmsQzoLiLxwBacCeHqyoVEpCcQDSw5vE9Vr3F7\nfwLgUNVjG/j8zP6CEp7+dA1vLNlI86AAHrgwkesGdyYwwLrCGuOPkpOTSUxMJCkpiS5dunDmmWfW\n+mfcfvvtjB8/nj59+pCcnExSUhKRkZG1/jk1EW9WcURkNPA0zq6zs1T1ERGZBqSrapqrzBQguLpk\n4JYsjtt11uFwaHp6em2GX2vKypV/LdvM4x+vZm9+MeMGxnLP+T1oGdbM16EZUy+tXLmShIQEX4dR\nL5SWllJaWkpwcDBr167l/PPPZ+3atTRteuLf9av6exWR5apaYycirz5FVdX5wPxK+x6otD2lhnO8\nBrxWy6HVmWXZe5iSlkFG7gFS4lrwwJhEkjrW/bcCY4x/OnToEMOGDaO0tBRV5aWXXjqpRHGqrMuN\nl+TuK+DRBauY+0suHSKDeS61Pxf2aW9TGBhjTkhUVBTLly/3dRiWLGpbYUkZM79azz++yEIV7hjW\nnZuHdCUkyFarM8b4L0sWtURVWfDbNh75aCVb9hUw+rR23DcqgU4tmvs6NGOMOWWWLGrBqm0HmJqW\nyZL1u+nVLpx/3jiIM7q28nVYxhhTayxZnIK9ecU8+cka3v5hIxEhgTw0tjepKbE0ta6wxpgGxu5q\nJ6G0zLla3dAnvuCfSzdx3emd+eKec7lucJwlCmMagHPPPfeYAXZPP/00t9xyS7XHhIU5FyLLzc3l\n8ssvr/a8NXXxf/rpp8nPzz+yPXr0aPbt2+dp6F5jd7YT9F3WLi549hse+G8Gie0jmH/H2Uwdm0RU\n85rntzfG+IfU1FTmzJlTYd+cOXNITU2t8dgOHTrw3nvvnfRnV04W8+fPJyoq6jhH1A1LFh7avCef\nm95cztWv/EBecSkvXpvM238cRM924b4OzRhTyy6//HLmzZtHUVERANnZ2eTm5tKvXz+GDRtGcnIy\np512Gv/973+POTY7O5ukpCQACgoKGDduHH369OGqq66ioKDgSLmbb775yNTmDz7onHD72WefJTc3\nl6FDhzJ0qHOpn7i4OHbt2gXAk08+SVJSEklJSUemNs/OziYhIYEbb7yR3r17c/7551f4nNpizyxq\nkF9cygtfrOOlr9YTIMLdI3pw4zldCA60rrDG1IkFk2Dbr7V7znanwajqp5tr2bIlKSkpLFy4kLFj\nxzJnzhyuuuoqQkJC+OCDD4iIiGDXrl2cfvrpXHTRRdWOn3rhhRdo3rw5K1asYMWKFRWmF3/kkUdo\n0aIFZWVlDBs2jBUrVnDHHXfw5JNPsnjxYlq1qthJZvny5cyePZsffvgBVWXQoEEMGTKE6Oho1q5d\nyzvvvMPLL7/MlVdeyfvvv8+1115bO39XLlazqIaq8t+ftzDsiS957vMsRvZux+f3DOH2Yd0tURjT\nCLg3RR1uglJV7r//fvr06cPw4cPZsmUL27dvr/YcX3311ZGbdp8+fejTp8+R9959912Sk5Pp378/\nGRkZNU4Q+M0333DJJZcQGhpKWFgYl1566ZGpzuPj4+nXrx9QcXrz2mQ1iyr8tmU/U+dmsCx7L0kd\nI3g2tT8D41r4OixjGqfj1AC86eKLL+auu+7ixx9/pKCggOTkZF577TV27tzJ8uXLCQwMJC4ursop\nyd1VVevYsGEDjz/+OMuWLSM6OpoJEybUeJ7jzeN3eGpzcE5v7o1mKKtZuNl9qIj7/rOCMc9/w/qd\neUy/9DT+e+tZliiMaYTCwsI499xz+cMf/nDkwfb+/ftp06YNgYGBLF68mI0bNx73HOeccw5vv/02\nAL/99hsrVqwAnFObh4aGEhkZyfbt21mwYMGRY8LDwzl48GCV5/rwww/Jz88nLy+PDz74gLPPPru2\nLrdGVrMASsrKef27bJ75bC0FxWX84cx47hjWnciQQF+HZozxodTUVC699NIjzVHXXHMNY8aMweFw\n0K9fP3r16nXc42+++Wauv/56+vTpQ79+/UhJSQGcK97179+f3r17HzO1+cSJExk1ahTt27dn8eLF\nR/YnJyczYcKEI+f44x//SP/+/b3S5FQVr05RXpdOdoryzXvymTB7Ket25nFOj9Y8cGEC3dpYDydj\nfMmmKPeOejtFuT9oGxFM55ah3DcqgWEJbWxWWGOMqYJXn1mIyEgRWS0iWSJyzOJGIvKUiPzs+lkj\nIvtc+/uJyBIRyRCRFSJylbdiDGrahFkTBjI8sa0lCmOMqYbXahYiEgDMAEbgXI97mYikqeqR/mGq\neqdb+duB/q7NfGC8qq4VkQ7AchFZpKq+H/NujDGNkDdrFilAlqquV9ViYA4w9jjlU4F3AFR1jaqu\ndb3OBXYArb0YqzGmnmkoz1Pri1P9+/RmsugIbHbbznHtO4aIdAbigc+reC8FCALWeSFGY0w9FBwc\nzO7duy1h1BJVZffu3QQHB5/0Obz5gLuqBwDV/ebHAe+palmFE4i0B94Efq+q5cd8gMhEYCJAbGzs\nqUVrjKk3YmJiyMnJYefOnb4OpcEIDg4mJibmpI/3ZrLIATq5bccAudWUHQfc6r5DRCKAj4DJqvp9\nVQep6kxgJji7zp5qwMaY+iEwMJD4+Hhfh2HceLMZahnQXUTiRSQIZ0JIq1xIRHoC0cASt31BwAfA\nG6r6by/GaIwxxgNeSxaqWgrcBiwCVgLvqmqGiEwTkYvciqYCc7Ri4+SVwDnABLeutf28Fasxxpjj\na/QjuI0xpjHzdAR3g0kWIrITOP6sXsfXCthVS+H4i8Z2zY3tesGuubE4lWvurKo1Dk1oMMniVIlI\nuifZtSFpbNfc2K4X7Jobi7q4Zpui3BhjTI0sWRhjjKmRJYujZvo6AB9obNfc2K4X7JobC69fsz2z\nMMYYUyOrWRhjjKlRo0oWHqyv0UxE/uV6/wcRiav7KGuXB9d8l4hkutYN+cw1qaNfq+ma3cpdLiIq\nIn7fc8aTaxaRK12/6wwR+Wddx1jbPPi3HSsii0XkJ9e/79G+iLO2iMgsEdkhIr9V876IyLOuv48V\nIpJcqwGoaqP4AQJwzlzbBecstr8AiZXK3AK86Ho9DviXr+Oug2seCjR3vb65MVyzq1w48BXwPeDw\nddx18HvuDvwERLu22/g67jq45pnAza7XiUC2r+M+xWs+B0gGfqvm/dHAApyTuJ4O/FCbn9+Yahae\nrK8xFnjd9fo9YJj49/J5NV6zqi5W1XzX5vc4J3z0Z56uo/IQ8BhQWJfBeYkn13wjMENV9wKo6o46\njrG2eXLNCkS4XkdS/USmfkFVvwL2HKfIWJzz6ak6J1+Ncs3cXSsaU7LwZH2NI2XUObfVfqBlnUTn\nHR6vKeJyA85vJv6sxmsWkf5AJ1WdV5eBeZEnv+ceQA8R+VZEvheRkXUWnXd4cs1TgGtFJAeYD9xe\nN6H5zIn+fz8h3pyivL7xZH2NE1mDwx94fD0ici3gAIZ4NSLvO+41i0gT4ClgQl0FVAc8+T03xdkU\ndS7O2uPXIpKk/rtUsSfXnAq8pqpPiMhg4E3XNR+zNk4D4dX7V2OqWXiyvsaRMiLSFGfV9XjVvvrO\nozVFRGQ48P+Ai1S1qI5i85aarjkcSAK+EJFsnG27aX7+kNvTf9v/VdUSVd0ArMaZPPyVJ9d8A/Au\ngKouAYJxzqHUUJ3IGkInrDElC0/W10gDfu96fTnwubqeHPmpGq/Z1STzEs5E4e/t2FDDNavqflVt\npapxqhqH8znNRarqz1MWe/Jv+0OcnRkQkVY4m6XW12mUtcuTa94EDAMQkQScyaIhL72XBox39Yo6\nHdivqltr6+SNphlKVUtF5PD6GgHALHWtrwGkq2oa8CrOqmoWzhrFON9FfOo8vOa/A2HAv13P8jep\n6kXVnrSe8/CaGxQPr3kRcL6IZAJlwJ9Udbfvoj41Hl7z3cDLInInzuaYCf785U9E3sHZjNjK9Rzm\nQSAQQFVfxPlcZjSQBeQD19fq5/vx350xxpg60piaoYwxxpwkSxbGGGNqZMnCGGNMjSxZGGOMqZEl\nC2OMMTWyZGFMDUSkTER+dvupdibbkzh3XHWziBpTnzSacRbGnIICVe3n6yCM8SWrWRhzkkQkW0T+\nJiJLXT/dXPs7u9YGObxGSKxrf1sR+UBEfnH9nOE6VYCIvOxaZ+JjEQlxlb/Dba2ROT66TGMASxbG\neCKkUjPUVW7vHVDVFOB54GnXvudxThXdB3gbeNa1/1ngS1Xti3NdggzX/u44pw/vDewDLnPtnwT0\nd53nJm9dnDGesBHcxtRARA6palgV+7OB81R1vYgEAttUtaWI7ALaq2qJa/9WVW0lIjuBGPfJGsW5\nGuMnqtrdtX0vEKiqD4vIQuAQznmdPlTVQ16+VGOqZTULY06NVvO6ujJVcZ/pt4yjzxIvAGYAA4Dl\nrpmQjfEJSxbGnJqr3P5c4nr9HUcnobwG+Mb1+jOcS9ciIgEicngVt2O41t3opKqLgT8DUTgnfDTG\nJ+ybijE1CxGRn922F6rq4e6zzUTkB5xfvFJd++4AZonIn3BOiX149s//BWaKyA04axA3A9VNIR0A\nvCUikTgXtXnKjxcqMg2APbMw5iS5nlk4VHWXr2MxxtusGcoYY0yNrGZhjDGmRlazMMYYUyNLFsYY\nY2pkycIYY0yNLFkYY4ypkSULY4wxNbJkYYwxpkb/H/4VJ1MBiwVHAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEKCAYAAAAB0GKPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrhgAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x11d74d518>"
+       "<matplotlib.figure.Figure at 0x7f8f0af187f0>"
       ]
      },
      "metadata": {},
@@ -508,7 +530,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {
     "collapsed": true
    },
@@ -533,7 +555,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# %load solutions/sol22.py\n",
+    "from keras.models import Sequential\n",
+    "from keras.layers.core import Dense, Dropout\n",
+    "from keras.optimizers import SGD\n",
+    "\n",
+    "model = Sequential()\n",
+    "model.add(Dense(512, activation='relu', input_shape=(784,)))\n",
+    "model.add(Dropout(0.2))\n",
+    "model.add(Dense(512, activation='relu'))\n",
+    "model.add(Dropout(0.2))\n",
+    "model.add(Dense(10, activation='softmax'))\n",
+    "\n",
+    "model.compile(loss='categorical_crossentropy', optimizer=SGD(), \n",
+    "              metrics=['accuracy'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -542,20 +588,20 @@
      "text": [
       "Train on 45000 samples, validate on 15000 samples\n",
       "Epoch 1/4\n",
-      "45000/45000 [==============================] - 7s - loss: 1.3793 - acc: 0.6377 - val_loss: 0.6832 - val_acc: 0.8490\n",
+      "45000/45000 [==============================] - 2s - loss: 1.3746 - acc: 0.6348 - val_loss: 0.6917 - val_acc: 0.8418\n",
       "Epoch 2/4\n",
-      "45000/45000 [==============================] - 6s - loss: 0.6157 - acc: 0.8335 - val_loss: 0.4507 - val_acc: 0.8828\n",
+      "45000/45000 [==============================] - 2s - loss: 0.6235 - acc: 0.8268 - val_loss: 0.4541 - val_acc: 0.8795\n",
       "Epoch 3/4\n",
-      "45000/45000 [==============================] - 7s - loss: 0.4775 - acc: 0.8635 - val_loss: 0.3786 - val_acc: 0.8983\n",
+      "45000/45000 [==============================] - 1s - loss: 0.4827 - acc: 0.8607 - val_loss: 0.3795 - val_acc: 0.8974\n",
       "Epoch 4/4\n",
-      "45000/45000 [==============================] - 7s - loss: 0.4165 - acc: 0.8798 - val_loss: 0.3410 - val_acc: 0.9056\n"
+      "45000/45000 [==============================] - 1s - loss: 0.4218 - acc: 0.8781 - val_loss: 0.3402 - val_acc: 0.9055\n"
      ]
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEKCAYAAAD9xUlFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nbP7w4+XSn3MAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEKCAYAAAD9xUlFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x11d6f3eb8>"
+       "<matplotlib.figure.Figure at 0x7f8f127a37f0>"
       ]
      },
      "metadata": {},
@@ -563,9 +609,9 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAEKCAYAAADjDHn2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njDHGBGTJwhhjTECWLIwxxgT0/8JXmCG/empdAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAEKCAYAAAAB0GKPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKGGIiEhUlDBERCQqShgiIhKV/w8SDKlB5q+0vAAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x11cc454e0>"
+       "<matplotlib.figure.Figure at 0x7f8efc155eb8>"
       ]
      },
      "metadata": {},
@@ -614,7 +660,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -655,7 +701,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -668,7 +714,7 @@
       "\n",
       "dense_4 True\n",
       "Layer Configuration:\n",
-      "{'kernel_constraint': None, 'use_bias': True, 'trainable': True, 'dtype': 'float32', 'units': 512, 'name': 'dense_4', 'bias_constraint': None, 'kernel_regularizer': None, 'bias_initializer': {'config': {}, 'class_name': 'Zeros'}, 'kernel_initializer': {'config': {'seed': None, 'mode': 'fan_avg', 'distribution': 'uniform', 'scale': 1.0}, 'class_name': 'VarianceScaling'}, 'activity_regularizer': None, 'batch_input_shape': (None, 784), 'activation': 'relu', 'bias_regularizer': None}\n",
+      "{'batch_input_shape': (None, 784), 'name': 'dense_4', 'units': 512, 'bias_regularizer': None, 'bias_initializer': {'config': {}, 'class_name': 'Zeros'}, 'trainable': True, 'activation': 'relu', 'use_bias': True, 'bias_constraint': None, 'activity_regularizer': None, 'kernel_regularizer': None, 'kernel_constraint': None, 'kernel_initializer': {'config': {'seed': None, 'mode': 'fan_avg', 'scale': 1.0, 'distribution': 'uniform'}, 'class_name': 'VarianceScaling'}, 'dtype': 'float32'}\n",
       "----------------------------------------\n",
       "dropout_1 True\n",
       "Layer Configuration:\n",
@@ -676,7 +722,7 @@
       "----------------------------------------\n",
       "dense_5 True\n",
       "Layer Configuration:\n",
-      "{'bias_constraint': None, 'use_bias': True, 'trainable': True, 'units': 512, 'name': 'dense_5', 'kernel_constraint': None, 'kernel_regularizer': None, 'bias_initializer': {'config': {}, 'class_name': 'Zeros'}, 'kernel_initializer': {'config': {'seed': None, 'mode': 'fan_avg', 'distribution': 'uniform', 'scale': 1.0}, 'class_name': 'VarianceScaling'}, 'activity_regularizer': None, 'activation': 'relu', 'bias_regularizer': None}\n",
+      "{'kernel_regularizer': None, 'units': 512, 'bias_regularizer': None, 'bias_initializer': {'config': {}, 'class_name': 'Zeros'}, 'trainable': True, 'activation': 'relu', 'bias_constraint': None, 'activity_regularizer': None, 'name': 'dense_5', 'kernel_constraint': None, 'kernel_initializer': {'config': {'seed': None, 'mode': 'fan_avg', 'scale': 1.0, 'distribution': 'uniform'}, 'class_name': 'VarianceScaling'}, 'use_bias': True}\n",
       "----------------------------------------\n",
       "dropout_2 True\n",
       "Layer Configuration:\n",
@@ -684,7 +730,7 @@
       "----------------------------------------\n",
       "dense_6 True\n",
       "Layer Configuration:\n",
-      "{'bias_constraint': None, 'use_bias': True, 'trainable': True, 'units': 10, 'name': 'dense_6', 'kernel_constraint': None, 'kernel_regularizer': None, 'bias_initializer': {'config': {}, 'class_name': 'Zeros'}, 'kernel_initializer': {'config': {'seed': None, 'mode': 'fan_avg', 'distribution': 'uniform', 'scale': 1.0}, 'class_name': 'VarianceScaling'}, 'activity_regularizer': None, 'activation': 'softmax', 'bias_regularizer': None}\n",
+      "{'kernel_regularizer': None, 'units': 10, 'bias_regularizer': None, 'bias_initializer': {'config': {}, 'class_name': 'Zeros'}, 'trainable': True, 'activation': 'softmax', 'bias_constraint': None, 'activity_regularizer': None, 'name': 'dense_6', 'kernel_constraint': None, 'kernel_initializer': {'config': {'seed': None, 'mode': 'fan_avg', 'scale': 1.0, 'distribution': 'uniform'}, 'class_name': 'VarianceScaling'}, 'use_bias': True}\n",
       "----------------------------------------\n",
       "Model Output Tensors:  Tensor(\"dense_6/Softmax:0\", shape=(?, 10), dtype=float32)\n"
      ]
@@ -718,7 +764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 17,
    "metadata": {
     "collapsed": true
    },
@@ -738,7 +784,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -747,7 +793,7 @@
        "True"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -759,7 +805,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 19,
    "metadata": {
     "collapsed": true
    },
@@ -770,7 +816,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -779,7 +825,7 @@
        "(45000, 512)"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -790,7 +836,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -799,7 +845,7 @@
        "(45000, 784)"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -810,16 +856,493 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.manifold import TSNE\n",
+    "\n",
+    "tsne = TSNE(n_components=2)\n",
+    "X_tsne = tsne.fit_transform(hidden_features[:1000]) ## Reduced for computational issues"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
    "metadata": {
     "collapsed": true
    },
    "outputs": [],
    "source": [
-    "from sklearn.manifold import TSNE\n",
+    "colors_map = np.argmax(Y_train, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1000, 2)"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X_tsne.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "10"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nb_classes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([  1,  30,  62,  73,  86,  88,  89, 109, 112, 114, 123, 132, 134,\n",
+       "        137, 150, 165, 173, 175, 179, 215, 216, 217, 224, 235, 242, 248,\n",
+       "        250, 256, 282, 302, 303, 304, 332, 343, 352, 369, 386, 396, 397,\n",
+       "        434, 444, 456, 481, 493, 495, 496, 522, 524, 527, 544, 558, 571,\n",
+       "        595, 618, 625, 634, 646, 652, 657, 666, 672, 673, 676, 714, 720,\n",
+       "        727, 732, 737, 796, 812, 813, 824, 828, 837, 842, 848, 851, 854,\n",
+       "        867, 869, 886, 894, 903, 931, 934, 941, 950, 956, 970, 972, 974, 988]),)"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.where(colors_map==6)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlwAAAJCCAYAAAAVwBlbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsvX10W+d95/m94AskxA5dURaTSgEQNh5atuWXWE3K0xcr\nkZ04StzGSk83KaSqsR1Mo05HntmcdjY4p3ZmB5s0007NJI0TJrFWI921u+esW8eN7G3MVG7TMicr\nJ7aVRGa1yxCMXA9sUTVtmRREEnf/uLzkxcXz3PcL3At8P+foUHwAPPcBBBFf/l6+P0XTNBBCCCGE\nkOhItfsAhBBCCCGdDgUXIYQQQkjEUHARQgghhEQMBRchhBBCSMRQcBFCCCGERAwFFyGEEEJIxFBw\nEUIIIYREDAUXIYQQQkjEUHARQgghhERMb7sPYGbz5s1aPp9v9zEIIYQQQhx55plnzmmadqWb+8ZK\ncOXzeZw8ebLdxyCEEEIIcURRlIrb+zKlSAghhBASMRRchBBCCCERQ8FFCCGEEBIxsarhIoQQQkh3\nsbS0hLNnz+LixYvtPoqUDRs2YNu2bejr6/O9BwUXIYQQQtrG2bNncfnllyOfz0NRlHYfpwlN0zA3\nN4ezZ8/i7W9/u+99mFIkhBBCSNu4ePEiBgcHYym2AEBRFAwODgaOwFFwEUIIIaStxFVsGYRxPgou\nQgghhJCIoeAihBBCSNfz5JNPYmRkBO94xzvwuc99LvT9KbgIIYQQ0tWsrKzg93//9/HEE0/gJz/5\nCR5++GH85Cc/CfUaFFyEEEIISQyqCuTzQCqlf1XV4Ht+//vfxzve8Q4MDw+jv78fH/3oR/HYY48F\n39gEBRchhBBCEoGqAsUiUKkAmqZ/LRaDi64XX3wRb3vb29a+37ZtG1588cWAp22EgosQQgghiaBU\nAhYWGtcWFvT1uEPBRQghhJBEMDvrbd0tW7duxc9+9rO178+ePYutW7cG29QCBRchhBBCEkE2623d\nLb/4i7+IM2fO4Kc//SkuXbqERx55BL/+678ebFMLFFyEEEIISQTlMpDJNK5lMvp6EHp7e/GlL30J\n73//+7F9+3b81m/9Fq699tpgm1qvEepuhBBCCCERUSjoX0slPY2Yzepiy1gPwp49e7Bnz57gG0mg\n4CKEEEJIYigUwhFYrYYpRUIIIYSQiKHgIoQQQgiJGAouQgghhJCIoeAihBBCCIkYCi5CCCGEkIih\n4CLEK1FMTiWEENI27rrrLmzZsgXXXXddZNeg4CLEC1FNTiWEENI2fvd3fxdPPvlkpNeg4CLECwme\nnKqeUpF/II/UZ1LIP5CHeooikRCSPKL4WfZrv/Zr2LRpUwink0PjU0K8ENXk1IhRT6koPl7EwpIu\nFivzFRQfLwIACjsS6CBICOlKkvyzjBEuQrzgYXJqnCJKpYnS2g8og4WlBZQm4h+ZI4QQgyT/LKPg\nIsQLLienGr+FVeYr0KCt/RbWLtE1Oy+OwMnWW0GcBCkhJBnE8WeZWyi4CPFCoQCMjwO5HKAo+tfx\n8abBXnH7LSw7II7MydajJm6ClBCSDOL2s8wLFFyEeKVQAGZmgHpd/yqYohq338LKu8vI9DVG5jJ9\nGZR365G5Vkeb4iZICSHJwOlnmV8+9rGPYXR0FFNTU9i2bRu+8Y1vBNpPBIvmCYmA7EAWlfmKcL0d\nGMWkpYkSZudnkR3Iory7jMKOQkuKUNVTasO1Ra8NkIy0ACGkfdj9LAvCww8/HMbxbFE0TYv8Im7Z\nuXOndvLkyXYfgxApVuEg+49uFTGA/lvY+B3jseukyT+QFwqg3EAOM/fOBN5f9FrICOuahJDkcPr0\naWzfvr3dx3BEdE5FUZ7RNG2nm8czpUg6kihSZF7qjgo7Chi/Yxy5gRwUKMgN5GIptoDo05+i9KGI\nMNIChBASV5hSJB1HVCkyu7oj0b6FHYVYCiwrUac/3Qi33EAulLQAIYTEFUa4SMcRVkG2NUoWZt1R\nnCwRwixCPfitg+j9z71QPqOg9z/34uC3DjoKNwUKZu6dodgihHQ0FFyko1BPqaEII1H6UIbXSFDc\nLBHCSn8e/NZBPHjyQaxoKwCAFW0FD558EO/Y9I4mQWcmCe3chBASFAou0jGop1Tc9dhd0tu9fLC7\nrTvq7+n3HAmSReAOPXHI0z5hUthRwMy9M6jfV3cdbbJG6b76zFeF9zsxcwLjd4xjcONg021GJC1O\nET9CCIkCCi7SMZQmSri0ckl4mwLFkzByGw27vP9yAPAkFmR7zy3OYfPnNydCbIiidHWtLrzviraC\nwo4Czv3hORzbe6wpkgYgVhE/Qkj38bOf/Qzvec97cM011+Daa6/F2NhY6NegLQTpGFKfSUGD/P2s\n3ef+vW5Xs2Ul05fxZP/gtHdc7SPMeHl9epQeLP/xsue9aBFBSHcQB1uIl156CS+99BLe+c534vXX\nX8fNN9+Mv/7rv8Y111yzdh/aQhCyil3KMDeQ87SXqJBchtcCfadIWxIc173UwxVvLvraK4gtBVOU\nhHQwqgrk80AqpX9Vg///futb34p3vvOdAIDLL78c27dvx4svvhh4XzMUXKRjKO8uo7+nv2m9L9Xn\nuc7KWkguqj+ywxALog/+wo6C435xd1yXids39b0JPUoPAD2y9cmdn8SXP/hlX3v5LaaPW1MCISRE\nVBUoFoFKBdA0/WuxGIroMpiZmcEPf/hDvPvd7w5tT4CCi3QQhR0FPPQbDzWImcGNgzj84cO+0nPm\nQvJzf3jO02NTSgoHv3VQ+sE/9oGxRHfuyawkvnrHV7H8x8vQ7tOw/MfLjmLLbi+/Jqic00hIB1Mq\nAQuWhqaFBX09BC5cuICPfOQjeOCBB/DmN785lD0NaHxKOoowzUatY3wGNw5ibnHO1WNXtBV85eRX\nmmrKjG5EQ8AdeuJQ055JcFwPc55Z2LPR4jY4nBASIrOS/8eydQ8sLS3hIx/5CAqFAvbu3Rt4PysU\nXIQIELnV9/f0oy/Vh6X6kqs9ZAX8c4tza+mty/ovw9ziHHqUHqxoK4lyXA9T3Ia5l8w5P6Wk1lK6\nhJCEks3qaUTRegA0TcPdd9+N7du34z/+x/8YaC8ZTCmSxBJlYbQoLXVp5RJWtBUMbhyEAmWtVskP\nh544tJZuBPSImBHZshMEUT7nTik0lzU8rGgrrOUiJOmUy0DG8v87k9HXA/CP//iPOHr0KL7zne/g\nxhtvxI033ojjx48H2tMKbSFIIrFGoIBw7RTsLCaM6wBoOkNQ7KwQonzOUb+eTtc2pxP3XLUHx88c\nD5ReVE+pOPBXB9Zc783QboKQeOHZFkJV9Zqt2Vk9slUuA4XoI9dBbSEouEhiMD6Y7fyfwvowdfKZ\nMq5jPpMCxdYHzA0KFNTvExuIBvWrsgobs5BptReWl9fNr/CTiWa715gQ0nri4MPlBvpwka7A3Opv\nR1iF0U4+XMZ1jE5G7T4NR/cedeX3lenLSG0h7LoTgxSDi6wS9j+6Hwe/dTC0+ZNusf5bOolUNx2G\nonRo2HYThBAShMCCS1GUtymK8neKovxEUZQfK4pyaHV9k6Io31YU5czq158LflzSrRx64pCr1F1Y\nH6aGD5esTkt0HUN8KVCk+/YoPRi/Y1xoC+HUnRhEQIhq0jRoePDkg7bzJzdt3GS7r5+6L7dzKs3Y\nCT+Z79aeq/aEajdBCCFBCCPCtQzgf9Y07RoAvwTg9xVFuQbAfwIwoWnaVQAmVr8nxDPqKdWVHYMC\nBZX5SmgF34UdBRy584j0Q1smNuwE0Iq2shatMRurGnMF7dJmQfyq7ASLbP4kALxWe036Wro1GLW+\nTm5HApmxe01lvlvHzxz3/BoTQkhUhF7DpSjKYwC+tPpnl6ZpLymK8lYAJzRNG7F7LGu4iAg/H9Jh\nFnyLap+A5oJ5L8X0fs9nV4dlh1+hA8jruNzUfYmK8b3WuvX39OOh33hI+jxZq0VIsumWGq5QBZei\nKHkAfw/gOgCzmqZdsbquAPhX43sZFFxEhNNQahlRdqM5iQ2zMEopqbZ3y6mnVOx/dL+v11EmXOyE\nztG9Rx0bHKyPkZ1tcOOgrdM/h18Tkmy6RXCFVjSvKMplAP4vAPdqmvaa+TZNV3XCn6aKohQVRTmp\nKMrJV155JazjkA7Cb11WlM7iTgXs5rFAdU0cZWml83lhRwG/t/P3murL+lJ9wvmTZrzWjm3auMlV\ng4NxltxADkf3HpXWvp1fPG+7j2iGZn9PP2u1CCGuuXjxIt71rnfhhhtuwLXXXov77rsv9GuEIrgU\nRemDLrZUTdMeXV2urqYSsfr1ZdFjNU0b1zRtp6ZpO6+88sowjkM6DKeOQS+F7SL8FH7LislF63Hp\nlvvyB7+81klp1DQd/vBhPPQbD611V1pFj12NmOjfpS/Vh3+9+K+uiuKtES2vr5Px77bv0X1NdWhx\nsrshhMSfdDqN73znO3juuefw7LPP4sknn8T3vve9UK8RRpeiAuAbAE5rmvbfTDd9E8CB1b8fAPBY\n0GuR7sToGBRZKWT6MijeXPRdTO628DsIdsXurXZ3N0feZu6dWRupY7W2cFNkXthRwIEbDqwJXiMt\nKIvoyfDTVehkE7JUX+KwakI6FLVaRX5yEqkTJ5CfnIRarQbeU1EUXHbZZQD0mYpLS0vQ5U14hBHh\n+mUA+wG8V1GUZ1f/7AHwOQC3KYpyBsCtq98T4ovCjgLO/eE5HNt7rEkQfPmDX27oRhvcOIiNvRux\n/9H9jiJG1uHm9GEtS3OJ1g3BaD03AN9iLyqhJhJkdmc48tyRtfo0DRqW68u+ruu1q9CNtYSRsu2U\nkUWEEF1sFaemUKnVoAGo1GooTk2FIrpWVlZw4403YsuWLbjtttvw7ne/O/iBTdBpnnQUXkfU+O1w\nC6NQ2+8e7RzDY8ZL52Nfqg+KothaUHjpKnTTSGEMAo/Da0UIkeOlaD4/OYlKrda0nkunMTM6Gsp5\nXn31Vdx555344he/iOuuu872nHSaJ12L14iV3/qqIJ5YBn6d4/1G5cLGbdF/j9KDwx8+jLtvutvW\nFNZLTZvTfY1/i7i8VoSQcJgViC27dT9cccUVeM973oMnn3wytD0BCi4Sc7ymg2QioDJfET7Wr3CS\npQm9RE28FN6bCTLix0qQdJsbgZTpy+DInUdQ2FHA8TPHbQeCexGron83c9ej8W9h934ghCSPbDrt\nad0tr7zyCl599VUAwOLiIr797W/j6quvDrSnFQouElv8FLTbiQDRY4MIJy/1TmESVtdj0IYBWZfi\n4MZB4WtpJwi9ilXRv9vRvUeh3ac1/FvIXhMFCmu5CEkg5eFhZFKN0iWTSqE8PBxo35deegnvec97\ncP311+MXf/EXcdttt+FDH/pQoD2tsIaLxBY/NU6i+ia3j201fuvHwqrhCqMOzYvzfZCaNT/u+sZj\nZYavcXovENLNeDU+VatVlKanMVurIZtOozw8jMLQUIQn1Alaw9UbyakICQE/qTPjg3jfo/s8P7bV\nZAeyQgHiFKkynqNfEWIQRmrSsJVwg6yA3S6VaBWXRhTOuLbo/tbXRZbGjNN7gRDinsLQUEsEVtgw\npUhii9/UWWFHYc3I04pTfVQrkRm6Xrh0wTHdZU1nAvBci9VqQ1Y/6VsvRe+yFKnIvw1ovfEsIaS7\noeAisSVIJ6Bo3AsAvFZ7LTa1OzJD17nFOU+1VH5rscLotPSK17o3L1E4mTgD0PLnSQghVii4SGwJ\n2gkoMuGMmwN5YUcBl/Vf1rTuxbrAr/VBGJ2WUeMlCicTZ+cXz7t6njRIJYRECWu4SKzxUiNkYER8\n4jA02g1ea6msdUoyiwM3z9PP69tKvNR92dXEOT1Pr7VihBDiFUa4SKwII8rgNPYlbrU7XqI4ovSh\nzEw0bs/TD16icEFSpDRIJYREDQUXiQ1hDZK2i+zEsXZHJhT2XLWnSXyKhIEGrUl0xfF5+sWu7sss\n0EsTJRy44YCvFKmdQSrTi4R0BysrK7jppptC998yoOAisSGsKIMsstOj9MSiRskaxQPQFMU5cMMB\nHHnuSJP4lKUPNWixrsWKApFAP/LcEZR3lz2b0dpFAyvzFdz12F0UXYR0OGNjY578wLxCwUViQ1gj\na2QO6FdsuAL7H93f1oiFLIoHoCGKc/zMcaH47FF6hPsaJp6tdr0PCz+p5DDTgDKLDoNLK5dw6IlD\nnvclhIRPVa1iMj+JE6kTmMxPoqpWA+959uxZfOtb38I999wTwgnFUHCR2BCWL5S57gfQnduX6kuY\nW5wLlKoMA7ciQSYyV7SVjrM48JtKDnOmpPU9I2Jucc7zvoSQcKmqVUwVp1Cr1AANqFVqmCpOBRZd\n9957Lz7/+c8jlYpOFlFwkdgQpi9UYUdhbT+R0/jC0kJbIhZuRYJMZBrpRiPS1aP04MANBxIX0TLj\nN1IVtnGrUStGCIkv06Vp1BcaO9DrC3VMl6Z97/k3f/M32LJlC26++eagx7OFgovEhrB9oZy6FecW\n51oe5XIrEuwK6Y88dwQr2goAPeJ15Lkjts8j7v5SfiNVURm3ypzpZeuEkNZRm615WnfDP/7jP+Kb\n3/wm8vk8PvrRj+I73/kO9u0Tj4cLAgUXiRVencjtcJNaalXbvyF6RDYOIpEgE5+y2i7Z8wir8zNK\nZOOW3IxwisK4dewDY+hL9TWs9aX6MPaBsUD7EkKCk86mPa274bOf/SzOnj2LmZkZPPLII3jve9+L\nY8eO+d5PBo1PScdiZwpq0AoTVKuppmHjYHQWygZPi8w69z+6X3gN2fOwS9d5ESan1FOYKE1gfnYe\nA9kB7C7vxo7CDtePl6GeUvFa7bWm9f6efleRqiiMW8MaDk4ICZ/h8jCmilMNacVUJoXh8nAbT+UO\nCi7SsYhcyq0ENQe1ur6LPphl3llGZ6EX7NzURcgEp5MQNXNKPYXHi49jaWEJADBfmcfjxccBILDo\nKk2UsFRfalq/vP/ytgqcuDvwE9KtDBWGAOi1XLXZGtLZNIbLw2vrQdm1axd27doVyl5WmFIkHYts\nOLSBm3ofu/on9ZSKux67qyFdJ/JrCrObbs9VezyZnMpsJGTrIiZKE2tiy2BpYQkTpQnXe8iwm39I\nCCEihgpDGJ0Zxa76LozOjIYmtqKGgot0PIvLi01rgxsHHet9nOqfDj1xCJdWLjU8RuTXFLSbzhB9\nymcUfOXkVxq6LhUotl2KRnG923UR87Pznta9EHanISGExBUKLtLRyDoVL+u/zDFlJKt/OvBXB5D6\nTErqy2RdD9JNZxZ9AJosLjRoOH7muPTxMl8pO78pKwPZAU/rXoiq05AQQuIGBRfpaIKk8+zMR0Xe\nXjKCdNM5WVvYnRNwFjRuLCN2l3ejL2Pp2sv0YXd5t+P5nYiq05AQQuIGi+ZJR+O1yNzNY50Q1Yz5\nLcJ2Iwztnotdx521e9I8Zsh8VqMwPoouReNaFFiEkE6HES7S0YgiPAoUVOYrjiagTvP1RITt1+Qk\nDEXpN9FwbJG3mReH9x2FHbh35l7cV78P987cG5rYIoSQboGCi3Q0ormKRjrQyQTUmu6y6/gz0mGH\nP3w41GiNTDACEKbfvBidhtk9SQghSSefz2PHjh248cYbsXPnztD3p+AiHY/hXp8byDXVXskiOkaU\nyDAaPbr3KI7ceURYD3XkziOhOOPLzm6tcTq69yi0+zTh9bxErdghSAghjfzd3/0dnn32WZw8eTL0\nvSm4SNfgNqIjixIBcFXgHfbsQi/jjrxErdghSAhJItWqisnJPE6cSGFyMo9qNT6jyuyg4CJdg2xm\nnwatQRg5jcMxix8ADeLq4LcOep5dGKZA8xK1YocgISRpVKsqpqaKqNUqADTUahVMTRVDEV2KouDW\nW2/FzTffjPHx8eCHtcAuRULQ2KHnNRJm7vKzGpMC9rML3XYKukU0zsguasUOQUJIkpieLqFeb/yF\nuF5fwPR0CUNDwX6Wffe738XWrVvx8ssv47bbbsPVV1+NX/u1Xwu0pxlGuEjX4DQuxhBGbqNEshmJ\nIvwMl/YDo1aEkE6mVhP/LJWte2Hr1q0AgC1btuDOO+/E97///cB7mqHgIl2Dm2Lw2flZ7Llqj/A2\n67qXbj7ZtaPoFPRS80UIIUkinRb/LJWtu+WNN97A66+/vvb3v/3bv8V1110XaE8rFFyka3Djq5Ud\nyEpH5VjX3XbzKVCEIk49pSKliP8LslOQEEKaGR4uI5Vq/DmeSmUwPBys2adareJXfuVXcMMNN+Bd\n73oXPvjBD+L2228PtKcVCi7SNYg8ucwYtU5uo05ujVE1aDjy3JGGYnijdks0RJqdgoQQImZoqICR\nkXGk0zkACtLpHEZGxgPXbw0PD+O5557Dc889hx//+McolfyVddhBwUW6CiPdpt2n4ejeo8JaJ7c1\nXFYBZ4e1LstuRuKBGw4wDUgIIRKGhgoYHZ3Brl11jI7OBBZbrYKCi3QtslonL/5Uxh7H9h5zjHaZ\nI2R2NVqylCYhhJDkQsFFiAU/nX5uol3Zgeya55asmxHgaB1CCOlEKLhIV+HWZNRPp59dtCvTl8Ge\nq/asmaLawYJ5QgjpPCi4SNfgZbBzEGQRsuNnjkvrtgxYME8IIZ0JBRfpGsIwGQ0SIbNLFdKklBBC\nOhuO9iFdgyyV57ZmKugYnuxAVniG3EBubS4jIYSQ9vDqq6/innvuwY9+9CMoioKHHnoIo6Ojoe3P\nCBfpCtRTapPvloHbmqmgETIv3Y+EEEJay6FDh3D77bfjhRdewHPPPYft27eHuj8FF+kKShMlYWeg\nAsW14Ak6hsfaydij9KwJtrDryMg6qqoin88jlUohn89DVflaE5Jkovg/PT8/j7//+7/H3XffDQDo\n7+/HFVdcEXhfMxRcpCuQiSINmuuaKbeGqHYUdhTWIl2Gy3xUxftE/8FcLBZRqVSgaRoqlQqKxSJF\nFyEJJar/0z/96U9x5ZVX4uMf/zhuuukm3HPPPXjjjTdCOrUOBRfpCmSiyI1LvEFYKcEwiveJO0ql\nEhYWLK/1wkIkYzsIIdET1f/p5eVl/OAHP8AnP/lJ/PCHP8Sb3vQmfO5znwu0pxUKLtIVhCGW/Bii\nigiamiTumZ2VvNaSdUJIvInq//S2bduwbds2vPvd7wYA/OZv/iZ+8IMfBNrTCrsUSVdgiKLSRAmz\n87PIDmRR3l32LJYKOwqBbRtk3Yo0PA2fbDaLSkXwWmf5WhOSRKL6P/2Wt7wFb3vb2zA1NYWRkRFM\nTEzgmmuuCbSnFUa4SNfgxz0+Ctit2DrK5TIyGctrncmgXO6M19qtLxwhnUKU/6e/+MUvolAo4Prr\nr8ezzz6LT3/604H3NMMIFyEtJqxoG3GmUFh9rUslzM7OIpvNolwur60nmaC+cIQkkSj/T9944404\nefJk4H1kKJomH6Lbanbu3KlF+WQJIaRTyD+Qp5Eu6QhOnz4duudVFIjOqSjKM5qm7XTzeKYUCYkQ\npnxIVLD5gpBkQcFFSES0alg26U7C8IUjhLQOCi5CIoJ+WyRK2HxBSLKg4CIkIpjyIVESli+cK1QV\nyOeBVEr/Sqf+7uD5p4E/LwL379W/Pv90u0+UaNilSEhE0G+LRE0YvnCOqCpQLAKGu3elon8PAB3Q\n7UkkPP808PiDwFJN/37+Ff17ALj+lvadK8EwwkVIRDDlQzqCUmldbBksLOjrpHOZUNfFlsFSTV/v\nQKampnDjjTeu/Xnzm9+MBx54INRrMMJFSETQb4skBVVV5b5GspEpHI+ULJ5/WhdL8+eAgc3AVTcD\nZ55Z/353oTFyNX9OvI9sPeGMjIzg2WefBQCsrKxg69atuPPOO0O9BgUXIRHSkpQPIQFQVRXFYnFt\nIHClUkFxNWVYKBSAbFZPI1rheKTkIEoPnnxy/XZRunBgs75uZWBztGd1wSn1FCZKE5ifncdAdgC7\ny7uxo7AjtP0nJibwC7/wC8jlcqHtCTClSAghXU2pVFoTWwYLCwsoGSnDchmwjFJBJqOvk2QgSg9a\nWaoBT3xj/fvdBaAv3XifvrS+3kZOqafwePFxzFfmAQ2Yr8zj8eLjOKWeCu0ajzzyCD72sY+Ftp8B\nI1yk61GrVZSmpzFbqyGbTqM8PIzC0FC7j0VIS5iVpAbX1ldTi6cOfR0TczdiHgMY2NiH3bge4cUU\nSKS4TQMuvq5Hw66/ZT3SZU5DWtOObWCiNIGlhaWGtaWFJUyUJkKJcl26dAnf/OY38dnPfjbwXlYo\nuEhXo1aruOuFF3BpdcRVpVbDXS+8AAAUXaQryGazqAhShllTyvAUrsfji7dhCfoH3fzcMh4vPg4A\noaZySETI0oMijKJ4s9Dae6jtQstgfnbe07pXnnjiCbzzne/EUAQ//5lSJF3NoTNn1sSWwSVNw6Ez\nZ9p0IkJaS7lcRsaSMsxkMiibUoZ2UYUm6N0UPkFfU1F6UIZRzzX/CvSc3er3Mfl3HMgOeFr3ysMP\nPxxJOhGg4CJdztzysqd1QjqNQqGA8fFx5HI5KIqCXC6H8fHx9S5FuI8qzP/DZ7Hy138W2w/rRGIU\nvAd5Ta+/Bbjjk8DAlQAU/atMgCmpWNtB7C7vRl+mr2GtL9OH3eXdgfd+44038O1vfxt79+4NvJcI\nphQJIaTLKRQKDQLLykB2QC9SFqwbVKsqBr77NHrqGxvvZHxYxyQllTjs/LC8vKbmuiyguXMR0EWY\nrLg+JnYQRgo7ii7FN73pTZibmwu8jwwKLtLVDPb0YG5lRbhOCNHZXd6Nx4uPN6QVrVGF6ekSfql2\no3gD04d1tapierqEWm0W6XQWw8NlDA3ROkVKVH5YsqL4CTW2dhAGOwo7Elk7yJQi6WrG/s2/QZ9l\nrW91nSQbVVWRz+eRSqWQz+ehcv6fb3YUduCO8TswkBvQM1K5AdwxfkfDh16tNotaelG8weqHdbWq\nYmqqiFqtAkBDrVbB1FQR1Sr/baTIhE4YAuj6W4D/MA7c/6j+9fpbYmsH0QlQcJGupjA0hMPbtyOX\nTkMBkEuncXj7dnYoJhzDzLNSqUDTtDUzT4ou/+wo7MC9M/fivvp9uHfm3qYIQzqdxfTwj7GSaqx/\nXEmtrH1f7zzsAAAgAElEQVRYT0+XUK83en7V6wuYnuaYICmygverbm5eC2PIuKje645PMiUcAopm\n6dBqJzt37tROnjzZ7mMQQhJOPp8XWh3kcjnMzMy0/kAdijk92Nu7CcvLr2FLdQuGp69FurYRtfRF\n1H7lFgz86v8CADhxIgVA9JmjYNeuekvPnij+5quNzvCALsLMQsg6ZBzQDWrHx2M/ZPz06dPYvn17\nu4/hiOiciqI8o2naTjePZ4SLENJxOJp5ksBY04PLy3NQFAVzP38R3xv9Nr73/mcxf9f+NbEF6FEw\nEbJ1Ar24/Zm/bV63OsNzyHjsoeAihHQcWcmcP9l6K1GrVeQnJ5E6cQL5yUmo1Wq7j+QLUXpQ0y6h\nt/cy7NpVx+joTFMx/PBwGalUo+dXKpXB8DDHBAkxOgk1SfTPcIYHOGQ8AVBwEUI6Djdmnu1ArVZR\nnJpCpVaDBn2yQXFqypXoilsTQK0m/iCXrQPA0FABIyPjSKdzABSk0zmMjIyzS1GGmxmIhj+W7JeJ\noL9kdJGR7Z//+Z/j2muvxXXXXYePfexjuHjxYqj7U3ARQjoON2aeBq0UMqXpaSzUG6MVC/U6StPT\nto+LYxOA3/Tg0FABo6Mz2L79KADg9On9mJzMu+pUrFZVTE7mceJEyvVjEo0b6wfjPlEMGQ/DdDUh\nvPjii/jCF76AkydP4kc/+hFWVlbwyCOPhHoNCi5CSEdSKBQwMzODer2OmZkZqdhqpZCZrVmiFU89\nBXz0o6j88i9j8+bN2Lx5s1D4lUolLFjqcxYWFlBqY31OkPSgH3uIrrSUcGP9YNynUNAL5HM5QFH0\nr0EL5u1MV9tJRFG35eVlLC4uYnl5GQsLC/j5n//5UPY1oOAihHQtrRYy2bSpvf+pp4A//VOgWgU0\nDXNzc5ibmxMKvzg2AQRJD/qxh+hKSwmnGYhWf6xCAZiZAep1/WvQ7sSoTFeDEFHUbevWrfjUpz6F\nbDaLt771rRgYGMD73ve+cM68CgUXISTR2KUEndKFrRYy5eFhZFKrP3a//nXAGvEyYRZ+fpoArM/9\n4MGDoadOjfSgrEhehp/6Lz+PaSt2URi3ERqrJ9bGy/U/rfLHitJ01S8RRd3+9V//FY899hh++tOf\n4l/+5V/wxhtv4NixY4H2tMLRPoSQlqKqKkqlEmZnZ5HNZlEul23n+Nk9DgCKxeJalMqIDBnIbjOu\nl81mhX5dUXUzGoa6pelpVF5+2fH+hvArl8sNzwWwbwIwUqXm5/7ggw+u3S56LVpJOp1dTQ02r4f5\nmLZhnVNoRGEMZLeJxJN1BmIYZzPG+Wy8TF9bvLA+2sd8rd0F8bzFdrrORxR1e+qpp/D2t78dV155\nJQBg7969+Kd/+ifs27cv0L5mGOEihLQMvzVTsscdOnRImhJ0ky50083oFCXzWnRfGBrCzOgoci5E\nnSH8vDQBAOJUqZV21oD5qf8aHNzjaT0S3Eam7KIw7ayLsqbjFl/X/8hSc3F0nY8o6pbNZvG9730P\nCwsL0DQNExMToZux0mmeENIy/DrAb968GXNzc66voygKAED0801RFNRNnYJ2ETdrpAjQBZkhdpxu\nt0P0WCuDg4MYGxvzHIVKpVLC527F+lq0Eq9DrCcn85IIVw6jozMRnnQVa9QKaHZ7N7h/L2SO+jqS\n2+5/NJyzyvjzongwtZmBK/W5ii3Ek9O8l38Hj9x33334y7/8S/T29uKmm27C17/+daRNdZdBneYp\nuAghLcMQQqJ12Qe/qqqew/q5XA4AAo/3cRKIQUcImcXepk2bcPHiRbzxxhsN93Er4Nyc2+8540Db\nxwLJxIpIoNjdF3C3jzn1J0r3eeX5p4FHH3B334ErG68X9lkseB7tE/F5ZHC0DyEkEaiqKhVcmzZt\nkj7OLu01ODgoTQmGYX7qVFQftOjebF1x7tw5bN7cnBbxk/oTPXcRe/a0MB0XkLaPBfJSOyTqLjRq\nn+xuMxB14j36APAnv+OvG8/Yzy3m9GLYZwmD62/Rxen9j+pfEzJYm4KLENISSqWSNM31+uuvS2uf\n7MTL2NiYtLbJa92TCKfuwDBGCJlrwGRRKa9dk9bn3tPTI7zf8ePHPe3bTto+FshL7ZBd7ZObuiiZ\nw/zi6/4sENw41luxqzkLcpYuhilFQkhLcKorkqW3ZOmxwcFBnDsXrR9QlDVcsv1FBE39yV77dtZw\n+cFr3VeoRFg71IS0BmwVWZ2VLNXmtJ8Uu5ozh7N4wHNKsU0wpUgISQROUR9ZFEeWGhwbGwvtbDKc\nomRBo2huugnDmAEZ52HeXvDr+xUKrezYc+q4E6Ux7VJ/hv2Dn3P4OQsRQsFFCGkJTnVFsg9/Q9QM\nDg6urW3cuNH3OTzbODiMCCoUCiiXy8hms5idnUWpVHJtKmqXKvSbBhUR12HeiaNVtUNODvMiEWSX\n+ru0CKTEaWUAupmqXc2ZHe00QU0YFFyEkJYgEk4Gbj78FxcX1/4+Nzfna+ZhGLMTRQ7ufveUicxc\nLmc7A9IrYdSztYKuG04tw4imbby8+TaZ8ahdpGllGUhn5Pt94G77mjPR4wzaaYKaMFjDRQhpOV7d\n5oPaL4S1j6jmSlEUYX2Umz2D1oB1EsZwavO8xFQq43o+Y8fi1gLB0WNr1efLj6WCqH4NAHbeDnzo\n33p+SlbiUsM1NjaGr33ta9A0DZ/4xCdw7733NtwetIaLo30IIS3H6CJ0ix/7BZGo87qPdY8LFy40\n1VzJfml101lovAalUgmVSgU9PT0NNhDdJLrshlN3teCyjvYx3O7NggkALl2038dI/fkZFWTc306o\ntckbKyx+9KMf4Wtf+xq+//3vo7+/H7fffjs+9KEP4R3veEdo12BKkRASe7wWfctShzK/L9E+oj28\nuN1rmua6RsyosVpZWQEAX6nOpJO44dTtQFQY/9iXgL/+4uqIHhuuujnYte3q11rs1aVCRR55pJBC\nHnmoCP7/5PTp03j3u9+NTCaD3t5e3HLLLXj00XCd/ym4CCGxwK6Y3WvRt2yOovE4N/u46SA0kBm6\nuhVObuY+djptNzZNAqLC+JVloL7i/Ngzz0RzJqClXl0qVBRRRAUVaNBQQQVFFAOLruuuuw7/8A//\ngLm5OSwsLOD48eP42c9+FtKpdSi4CCEtwU5QORWzey36lqXzzp8/73oft2ajmUwGv/d7v7c2TsiK\nG+Fkl+r02lWZVNpubJoEglgw2D3W7VBuP3uHPJi7hBIWYPnlBAsoIdgvJ9u3b8cf/dEf4X3vex9u\nv/123HjjjVLDYL+waJ4QEjlOxeFhFcUbhLGfm3mEuVyuoeDfr8Gonbnr4uJi1xTVt8zYNKn1Rm6G\nT8uwM0sNaujqtmBfgpei+RRS0ARGrAoU1BGeie+nP/1pbNu2DQcPHrQ9J41PCSGxQpYyO3ToEAB5\nhKdSqfiK6IThO+XkG2aIN7PwkdWUOdVzyc4LoKtSjS0xNhXVGyVlRI3In6un195jC5BbSQDidKDX\nqJQf3zCfZCGp55Sse+Hll18GoP88evTRR/Hbv/3bgfc0Q8FFCIkcmaCam5uDqqq2jud+isfD8J3y\n4xtmJ9Ls6rlk5z1//rxwLy+zFbslJemaMARGuxC53d90q+6xZbDxct2uwa0jvpeh3LLUox/fMJ+U\nUUYGll9OkEEZwVPPH/nIR3DNNdfgjjvuwF/8xV/giiuuCLynGaYUCSGRY5eeM9JydjMFjft48e4K\nEy++YcZ9Zc/XywxIL6lR0RkBdIzPV2jpRulcQfu0VyyJMh1oTUG6vZaPdK1XHy4VKkooYRazyCKL\nMsooIPr3c9CUIgUXISRyVFXFvn37hLcZ9U129wF0oZAk4WA3rPvYsWO+h1uLnrfsfhs3bhRaWQQd\nht1q3JqiuhJlbgVGEgjjubgVUhG+bnExPnWCNVyEkNhTKBSEqTlgve6pUChIO/0MQ1Azcatlsqbu\nZJ5fAFyf221qVFYjJ/MN85KSjAN2pqgGhiir1SoANNRqFUxNFZvHA4nqjUJOe7UML+lAGdffAtzw\nHkBZlQNKSv/eGrWSFcVzeLVrKLgIIS1hbGzMsZBdVjxuGIJaiYtwENlavPbaa9L7ezm30/Bsr/sB\n8uL+uOLGFFUmyv75nw81PkhUB+UlBRcnZMXoXorUn38aeO7vAG21w0+r698b9VlGBMzrGTwSp2yb\niDDOR8FFCAkdUaG2m2iN7D6yyFdchIMowrS0tIRUSvwjdtOmTaEWssteh8HBwcDdmnHAjSmqTJSt\nrMw1R7nsXNOTRBjROqcmApmpqZ9rSdiwYQPm5uZiK7o0TcPc3Bw2bNgQaB/OUiSEhIq1nsjozgPc\nzVCU3UdUoxQX4SCLMNXr9abas/7+frz22mtr6T7z6wPAV2OAqOkgk8lgbGzM854t88LywPBwWVjD\nZTZFTaezq+nEZjpqHqO1KP2G9+gu8n49xZzSknYpw5Aig9u2bcPZs2fxyis+PcZawIYNG7Bt27ZA\ne7BonhDiG1FnnKxDz6lQ26kT0E2noJduwiCPsWLXTWjtrrxw4YKwtiqoyWkYz8NtcXo7cBKC1aqK\n06dlTRcKdu0KzxSzbYTRlWjFqRjeztR04MrkmMZGBLsUCSGRI+uMk1k72Lmtu+3GEz3OEBmbNm3C\n66+/jkuXLjnuYbZuUBSlIZXhp/vx4MGD+MpXvuJqH7vuRRGt7CicnMwLo0TpdA6jo605QxC++93N\nWF5uFrNJOb8jUXQKOok40e1mggq+hMMuRUJI5Mg642Tzx+zqrfwMb7YWqs/NzTWILdke5scBzcWw\nXrsfVVXFkSNHGvZRFAUHDhwQijavdWetbAxwU5weZ666aqyz5zGG0ZVoxamJoOF2AUkxjY0BjHAR\nQnxhF6nxGjWy20u27mbWoXEWc2TNzeOcZh+6OYcsMhVnz6w4Rbj81pLFsQYtNNrtIdZJprEhwQgX\nIUlCVYF8Hkil9K8JGb1iF6kxi6TBwUHHFJ1sL0VRmjr4jA5IN2JLtLebiJGXKJRsP9m6rBPTjW1G\n1AwPl2MRIXLtqSXAPI9xeLiM6ekSTpxIYXIy7+rxscZtV6JsBE9QwrChsCOqc8cECi5C2omqAsUi\nUKkAmqZ/LRYTIbqchjsbLC4uOt5nz549wnVN0xrSe9Z0oBMiweJGTF24cMG1VYNsP7vriLy1wpj/\nGJShoQJGRsaRTucAKEinc20pmHdjdOpEENEWW9x4iIU5nNsqgK66OTrT2CQPFXcJU4qEtJN8XhdZ\nVnI5IAGjV5zmBhrYpcVEKTYz5vSeU2Srr68Pb37zm3H+/HnbTka76xm4LZ53KvgPo3swVHzMums1\nJ06kIEtdiboNRWlE/ft4pEdbiiztuPFy4I/+u/t9ZMX0QW0ovJ475iOXmFIkJCnI0lsxcVB3wojU\nyIxJDezSeKKCeTPmSJHdPrlcDocPH8a5c+dsXdlFkSTR2CG3xfN2kSmRA32xWHQdPRMZyAYiIVEE\nN0anBrJIlsyTKykNAL6RFdAvvu7t31lmiHrmmWhMY6NoCIgZoQguRVEeUhTlZUVRfmRa26QoyrcV\nRTmz+vXnwrgWIR2FLO0UEwd1tzilF+3Sa3YiypoSlO1jRNDcRo6sKb3z5897PpvdfsY5/HRfGgQV\na0KcXMVjgptasmpVxeRkHqdP7xOmHwFxt6xMzHUMdvVUT3zD/T6tFkAbLxOvh1UfFgPCinD97wBu\nt6z9JwATmqZdBWBi9XtCiJlyGbAKlUxGX08QRpRHFClyKvy2E2NWawXZrEXR/l6iQ37qsNzgtaDe\njFex5ur5JiSK4FRL1hjVkrESiwaAlmNXT+UlyhV1gbyZ558GLglqPVM9yRwqLiEUwaVp2t8DsP6K\n+BsAjqz+/QiAD4dxLUI6ikIBGB8HzEJl48b2nScAhUIB586dw7FjxzwVfttFx44cOdIgHNwWlnuN\nDonO0NfXhwsXLgRK5wURcl7Emuvn28oP0YCYuw1HR2caCvdFRfVWDJHW7gaAlnP9LXq9lgy30cww\n5jS6ZUIFVpab19OZ2NUXBiHKGq4hTdNeWv37/wAwFOG1CFkniTYL5k6+ubnEdCqKkKXX7O4/Pj4u\nNEwVRXTc7O81OmQVcoODg1AUZW2grt90npeInBWZKEulUk0i0PXzbeWHqAQjFRjEqsGpDsuIZNmJ\nto7mA3fLb3MbzXTTERkW0rqzC+Ffq420pGhe01shhe2QiqIUFUU5qSjKyTgPriQJIYk2C6USYC0a\nX1jQ17uEQqGAlZUV4W1uLSAAZ48uu1SeWchddtllrlzrnQhi9SCL/K2srDSJQNfRsFZ+iAoIy6rB\nrg6rayJZdthFubxEM6+/RRfjA5t1UTShRtNgkaDIaxCiFFxVRVHeCgCrX18W3UnTtHFN03Zqmrbz\nyislowMIcUsSxUvCOxXDQjYSyLouq1Vy49HltiYrSO2V9Zz79+8HABw9etRzYb9ZrNlFAD2lLq+/\nJZouMxeE4a8FyIvqt28/1l2RLDuu/WXx+lU3u9+jVV2tMYi8toIoBdc3ARxY/fsBAI9FeC3SacjS\ngk7pwjDES6tTkjIRkEolKy0aEFmEy7xuV6vkZC/hxbU9aBF9WB2G5qibbNTQ7OxsoNRlKwlzVqOi\nrNc69vYOMqpl5cwz3tZFtKqrtc2R11YRli3EwwAmAYwoinJWUZS7AXwOwG2KopwBcOvq94Q4I0sL\nHjzYvL5/v75u4NdmwRBZiqLv2cqUpKhTEQBWVpKTFg0BmZeXed2uVsnJo8uLa3tQARPEDkKGnQiM\ng0u9G7z4a8kw0pIrK+tzJ+t152kGXUcYHamt7GptY+S1VYTVpfgxTdPeqmlan6Zp2zRN+4amaXOa\npu3WNO0qTdNu1TRNbHRDiBVZWnB8vHld04CvfGVdjPixWTALPGNP67WjTEkanYq5nC74FKX5PnFP\ni4aAG5Fjl+rz4tHlZKEQVMDIzlmpVHwbmTq9Pl6bFdpBGLMaw0pLtpxWzwkMoy6qS2qrWgWd5kn8\nkEUqJCknaNq6GLGKl1xO/97uw0ck8NyeKSwKBX2Uz9GjzYKvVWdoM25Ejl2Ux21Uym26L4iAsRvG\n7TfNmJQolh1hzGoMMy3ZMkS1UI8+APzNV6O7Zhh1UV1SW9UqOEuRxI/Nm3VrBCs9PXLRpSiApMbF\nkVRKLnIMWjHbUFWBAwfkzzEh8xWjxM3cwkOHDmFu9f0zODiIsbGxBlEi62K0m/cYxjkVRYHo522Y\n140T1aqKf/7nQ2upv97eQVx11VjgOqvJyXzyZiTK5gQCwN57o0ufhTE3MwGzN9uJl1mKvVEfhhDX\nqCpw6JBYbAHArl3Ad74jFkdBHMGzWfEAaYNWOL8baU2Z2AIS5z4fBeaRObJh0IsmT7O5uTkUi8WG\nx4bRgejnnH6sKpJKtari9OmPA1haW1tensMLL9wFAIFE1/BwGVNTxYa0Yuwd5O1qnibU6ATM9bcE\n3zuMPQgARrhIXDAEh11qL5cD9uzRa7bM79tMxjlt6PXaiqJfI5fThU7UaZt83l70DQ4C5+I1fiWO\nuIletSLC5fdsnYIsCgWEE4mqVlVMT5dQq80inc6umZzGFrsIFxS9UNwLSYk6Wc951c16l2Tcz+0B\nLxEu1nCReOC2jurLX9brnLzUaDkhqvsyaqlmZqIXW4B9fVYmA4yNRX+GDsBN9KpdFgpJsW4IA7t6\nqjBqrRLnIG9X8+S1AL1V3lhBEZ3z5JPRnbvVTQk+oOAirUXmceUmrRJwkLCtv5ZRtF6vt05kmZE9\nt56e4IKyi3Djn+W1+NzLEGw7OqHo3S32Ng8pX+N8Es31twA7b29e91OA3ipvrKA88Y3mc1oJ49zP\nPw38ye/oTQgxF6FMKZLWIUrd9fcDl18ur9sy6OsDDh/W/27dw01KUXTtoKnIMIn7+RKCU1F9u/fr\nFkQ1XGZSqUx3GpWGkQq8fy/Ek/J8pCaDIk0ZehnTF+DcRhRNJuwGrtQ9vSKEKUUST0Rpw0uXnMXW\n4KAutgoF/6N74j7yx4+dBWnCbRTJbdQqCgPTJOJ14PTQUAHbtx9GT8+g8PZE+GZFQRjmnnHxxrJN\nGXogyLlF0T4zURi0BoCCi7QOL91YuRxw7JheR3Xu3Lrw8Du6JwnzCtud1uwQnPyzvIzdcaoJCyvd\nGNY+UeB34PTQUAG/+qvnAAiMfOG9lsur6OtY2umNZa6T+qsvOKcMnQh6bidBFTODVgouEi3muqmU\ny7ebosgFh9/RPX4fRzoOL1Eru5qwsOYlhrVPVAR1dg9znI9X0deRWOcObrwc6O0HHh2LtljcGtHS\nfPge9qXDnZdoJ6hiaNBKwUWiwzoT0c5jyoydCPIzuifI40hktCuq48WHy66zMKx0Y9zTlm6c3e2i\nT37H+Zj3PH36QDLH+USFkZrc+X5g8XX9T9TF4k7pOyf60rrACnNeoijaB+giNIbDrym4SHS4sXqw\nRr36+oALF8SdhID/WifWSMWKdkZ13HQyGtjVhIVloNoKI9YgOEWonKJPfsb5WPcExL+sxXqcT9Q8\n/7ReM2Ulqo7FIPVQYUSzgGbrB6Ax2jdwpe7c/0f/PXZiC2CXIgkLVdUF1uysHqEql4H9+51H5gwO\nApddpj9u0ybg9df1QnqDMExNreeiyGo77TQBDavzMKznEHdDVEP8WJ3dDdEUxagdO+PUsK6ReMI2\nU/V7PWV1NJoXY1M/3ZqijkQjatZGccXRPqS1WC0NKhXg4x9fd2u34/z5dQf1fL65Y9HoJPQjkkTn\nWh3zQtHVXtoZ1XEzHsgN5XJZKNy8GpmGtU9UGJEombN7FMOk3Tw29uN8osYu4hRFsfjuQjiC5/mn\ngce+BKws69/Pv6J/D9jvY+c/FsNolgimFElwRKnDpSV3w6TNaRzZh61o5I2diandufxYQbi5FvGE\nl7ReFFg7GW/FrZjMT+JE6gQm85OoqlVXe4RhZJoEQ1Q7Z/cwiuLdP7YHbtOSHY+dqIqiWNxarG9N\nE7p1en/iG+tiy2BlWV+3QyYwY2b9YAdTiiQ4qZRzJEuENV0omyeoKPqoHeN+bk1CZedSFHdi0Mu1\niCcOHjyIBx98sGn9k5/8JL785S+39CxVtYqp4hTqC+vviVQmhZHxEQwVhlp6liTilHL0M/ewWlXx\nwgt3QdPWywsUpR9XX/1Qd4ssMzLTz523Ax/6t/E4C6ALM3PK8P475fvc/1fy22QpzRaYm9pB41PS\nWrxEJeyK1stl/TYrmrYelVJV4MABd5GrMKwgZFGyAwcY8QrA8ePHPa1HyXRpukFsAUB9oY7p0nTL\nzxIrXEYs7Irig9g5WIMBmnYJp0/vC+zB1TF+XqKI0957Wy+2APsOxrA6J9vpPxYSFFwkOCLLBRG5\nnL2xZ6Egj5TNzq5Hm2T2EtaUpJMVhJtUoSzNubKin9WoCzMem7T0Y5vOG6fOvNqs+INCtt4VeByQ\nLEs5+vXw0m8XjwUK4sHVcX5eYTjXh4FTWs/cObnxcvF9ZOsG7fIfCxEKLhIcq+XC4KA+I9GMW8+r\nXE68vmmTs82ENXJlZwVh9QizCifZniKM6JrbPeOCj/OG5Z3V7houM+mswMfHZr0rCGlAst+Ceqfb\n/XpwBTVx7XpkUU83RfqGKPvA3UCqp/G2VI++7oQhMPceApYvtcZ/LEQouEg4mMfSnDsHPPSQP8+r\ncln34rLy+uvi+i4zFy6IfbtEUTW3BfVuo3ezs/Gf12jF43nD9M6yMxT1g5MQtLt9uDyMVKbxR2Eq\nk8JwedjXWToCnwXK1nRdb+8m4f2cCurdFNz76YKMoqOya7CLesoMSM0Youz6W4AP/0FjKvTDf+At\nOhfSLwSthoKLRIPfuYCFAvDmNzevX7oE9PQ0r5uZm3MfUbLriDSn2IDGKJnsDNlsMuY1mvF43jAd\n0cPszHMSgk63DxWGMDI+gnQuDShAOpeWFsxX1arnbsZE4mNAsihdt7z8GhSlMdrtxs5B5E5vxU8X\nZBQdlV2DTOT81Rf0tF5vvzwtaK21uv4W/fuBzbqIn1C9RacS2rHILkUSP+y6HjMZZ/d6o1bMDruO\nSPO1rR2Jdl2LpZJ4TzfnaQey10By3lQq1VTIDACKoqDutuszApyMQ8MyFu2qbkYfJpMys9KenkH0\n9l7mqUsRgKm7sQJ9APb6e8/cBekFp45KYsP9e2H+NxBivEcAe2NTu/eX02OBWHUsskuRxAO/Bdmy\nOh4jNWlEm2S4iSiJUoUio1Zris2oCxscXF/buFG+Z5znNXo8b5zqrszYFeCrqioUW3aPk9FV3YxO\nnktWnn8aN50YwS0nfgO/NPk+bKluXbtpZeW81MPLjvVCfA3btx/1NBrIbk+vY4bIKm7qtMxGpHbF\n/LJo2RPfcNeskdCORQouEg1BCsjthIA5VSkrsHcjAEQF9XYdklYWF9f/bqQygWTNa/Q4XzLsuquw\nkAm+TZs2oWj8u3h4nIyu62Z02wG3Gq3YUMtAgYINtQxGpm5aE11hpOvsjFcN3No9uNmLCHBTpwW4\nS+vJ7rP4urvaLK+/EMQEphRJNHhMVzXhZgaiKL0H6NGnsTHvQsftmYM+twSjqmrgkThRnEk0Gmfj\nxo2Ys46KMt3utWZsMj+JWqVZXKVzaYzOjHo/eKcgSe9cTC/g+7/83ZZEkJgqbBHmGYiKAmiCUgI3\naT3bOZAiIpgNGRJMKZL2E7SA3E3RvSi9B3grnjfjNsUWZXF8zH28rCNxwhRbfi0nZAX458+flz7G\nT4E+uxklSKIV6drGlgke2j20CHPU885/L454zb/i7IslSwnKiu6jmA3ZBii4SDRsEreDe3J5d0Oh\nAFx2WfO6HzsGtym2MBzsRagqcNddjWnYu+6KneiKgqCWEyIhKEsZ5nI5X0KxoZsRAHrWa7jcdiuG\n5WMWKyQfhsrAlpZFl2j30AYa0noWnHyxRCnBG94jvm8CarPcQsFFwkdVdd8sK3190RSQhxlxchNZ\ni7gMCC0AACAASURBVKo4/tAh3f7CzKVL+nqHE6blhEEUNWdDhaH1SNfqwINapYap4pSj6ArTx8wL\nkY+yiUEBM+0eJLgdKO0XI+IlEl1OvlhmE9NLF4GTT64amZrYeLm32qyYZwgouEj4lErNwgHQ/bWi\nqPeJKuIkw2OxuWsk9UbS9Q5C1jFYqVR8C5Iwvb7M+O1WjEJUOtGSUTYxKGAW+Xa58fvqaDyOZwqE\nX18s44xWoWXQv8H+fWQWlP+lAPy3P471pA8KLhI+ssiSTU1NE15+U4nSjkF2DmskDAA2b9YFmKLo\nf4/Rf/S4Y9cx6CYKJEvVRVFz5rdbUS4qZyN7q7SstqnNM/1o97CKWYD81Rcid2M3fjzOvOrdKBeA\n/dBrwF6wWQXl8gLw/muA69YtSeI26YOCi4RP0IiTV0uJqCJObs9h1F6ZI1Fzc8DHP+5NdFmL/53W\nOwhR+s/AKQrU6lSd39mLclGZjewX8aTXNq2nQxWcONGLEycUaVq06+0erAJE1EEIhObGbv7x+OmJ\nAt645COt7HQWO8EmEmv9vcDuaxvXYjTpg4KLhE/QiJOfmYR+RwmFcQ5ZCnVpydtvV2NjzXMk+/r0\n9Q7HSP/JqFQq0mLzVqfq/HYrikVlBkA5sl/Ek1zb1JgOBYyiuUjSop2AU7TIIKSOP/OPx4d/dAs+\n8fgnMfPqlahrHtLKdmdxEmwysTawsfH7Nhszm6HgIuETNOIUl5mEbs9hdy5jNqOb8EWhABw+3Pi6\nHT4cX+PUkCkUCshJzGwVRZFGsOyc5qPAy+xFM+uiUk976V/HARRWzxv+WZNc2yRKhxrQ8kGAm8hV\niM0M1vfrwz+6BW8fG0fv/+ohrby7AKQE82ndFMvLxNq8yZQ6ZpM+KLhINASJOLW6CD7oOZzO5aV4\nM4pIXQxwa4cgigIpitI0w9EcwWrHyKGhwhBGZ0axq74LozOjrmcp6qJyBkAdwAwMsQVE8/ZOcm2T\nU9ozKWnRliETIEoKUTQzhPZj2jqmracX+MDdzucUdccqPcBzL8d20gcFF4kfcZlJ6PYc5TLQ32+/\nV8yKN1uJlxorUWehbBqGEcGK68ghGa1+eyextklPF9p/PPlNi0Zuk9EuZPYcd/77SJoZQnkfT6jA\nynLj2sqyu8J+UXfsnX8A/N0PY/sLK0f7kHjiZrRPu89hvm3TJqBWAy5ckO+lKPoPgi4jn88LB0jn\ncjnMuBiF5ObxcRw5ZEdc3t5xRDSmx4rfsT0dPwLIPHpnYLMuwiLsGA38Pr5/LwCRBonvKB8rXkb7\nUHAR4gfRHMe+Pt1rTOab1QWzFkWkUilplCqXyzmKJNmsxDA8tUj8mJzMmwrlm0mncxgeLvsSSLK9\n0+kcRkdnPO9HAiKbqehmHqNBi0WmFc5SJCRqRB2MS0tysRWz4s1WIqulsiuENxOVgSmJJ/LaLAW7\ndmmB0qJJt8noOIJOKWiluWsIUHAR4gcvLWXW4s2Yj58IGz+F8FaiHJpN4kWUVhbyPVKdU8uVJIJO\nKRBZYYRs7homFFyE+MFLK465eNOrqWsH4KcQPg505KDpOLPqkv5L//dN+KXJ92NLdd0xPCwrC5FN\nhs4Kvb3aRZApBX5HCrUJCi7SGQSNGnl9vKhFxw1+TF07AGuESua3lc1mYyF02jVouvkcXRIMNaWG\nFAAbahsxMvVObKluC9XKwrDJAJq9n6L09lKrVeQnJ5E6cQL5yUmoVftB58QBY4SRsOAeoZm7hg0F\nF0k+QaNGfh5vNXe1eskYvOlNjd8Luu1s18MmJp/gMiuHPXv2xELotGPQtJWuCoYKUkM99R5c8y8f\nCN3KQt9L3C1sV6zvF7VaRXFqCpVaDRqASq2G4tQURZdfGuq2BIRo7ho2FFwk+QSNGvl9vNmk9OhR\noEfgmHzpUuMnpOg+duthEqNPcFkh/PHjx9sudIDWu9eL6KpgaItTQ/JaLiX0tGJpehoLFjuYhXod\npenpUK/TNdiNMArZ3DVsKLhI8pF9CFYqzpEcVZVHl7x8uBYKwBVXNK9b5ymurIgfb16PKgol+wTf\nt68t0S5RIXwchA7QHvd6K3GZcNUSZCmgiFJDej2YKCqthZ5WnK2JxYFsPfEY6b779+pfw+4YlIpw\nJXRz17Ch4CLJx+5D0C6SY0R8/Owr4vx58br5E1JSu7S2HmUUymnmYwzyVXEQOkA83Ou9jk6JSbbY\nH0HtATyipxXF9T9hW0Rk02lP64mmFTYNLRbnYULBRZKPmwJ2US5GFPEx8OOb5eYT0mkeRpR5JCfR\nEoN8VRyEDhAP7y8vo1NilC32R1B7AB/o8yVF643/T4KOAioPDyOTavyozaRSKA8PeztwEmiFTUOL\nxXmYUHCR5GMtYJdhjfDYRXz8DD118wlpPavVoyvKPJIbYdrmfFUrhY5TN2S7vb+c3ipmOqLeK4g9\ngA9EFhFW+wljFJBeTK+hVqu4to8whNrW02/FY6kC/qeeE1AA5NJpjI+MoDDkbuB5omhFLV4bxHlY\ncLQP6TzyeXFdlnW0jtv7eSHocLEoziQ6n6xurUvGD6mqirvuKuLSpXWV0t+fwUMPJdPBPpXSI1tW\nunR8p2uqVRXT0yXUarNIp7NNI4P8jgLq+JmNMsIY1ZMwONqHdDduczGhjLu3YO5clE2rtyu2ieJM\novMdOxbtdWLOoUOlBrEFAJcuLeDQoSSFhNbxWu+VFIKm84LidxTQ9HSpafh2lD5fseGqm72tdxkU\nXCSZ2IkWt7kYLzmbMM9tV2zTqjO147nHiLk58QembD3uRK3T20GQdJ7f/U+f3o8TJ5Q1ced3zFDX\nzmw884y39ZBQT6nIP5BH6jMp5B/IQz0Vz+JFCi6SPOxEiyHE9u/X73v0qDzSBDRHpIBwWr1kgtBN\nsY2bKFkYtOo6sUT2gZnMkFDH6GeTpcDA4f8Dm1/6uYabRVEiv1EwURTK6Fw0xN3g4B4oSn/DPRSl\n33HMUJTzIGNNG0btqKdUFB8vojJfgQYNlfkKio8XYym6KLhI8pCJlkOHWu8473Ufp6L4RPf2J4fB\nwTIAawNBZnU9mbjVzypU5JFHCinkkYeKmLzHLJYCGy72Y2TqpoaZikBjlChIFMwp2lSvL6Ba/T+b\n5n66qXt2U5DfkbTBsqE0UcLCksUseWkBpYn4pW8puEjykImWubn2OM572ceu2Cbxvf3JYWysgL6+\ncQA56AaYOfT1jWNsLGkhIW+oUFFEERWsRgNQQRHFeIgu4XifXgxPX9uwZo4SBamVchNtWlmZA7Bk\nWV1y3N+Y2ahbTyihzoOMNa20bFiNhk6/eiN+qr0PH9MahfnsfPzStxRcJFmoqh798YJbq4OwLBns\n9rErtumI3v5kUCgAhw8XkMvNQFHqyOVmcPhwIXkpOI+UUMICLNEALKCEGLzHJGmndG3j2t+tUaIg\ntVKiKJRb3Ow/NFTA6OgMdu2qhz4PMra0yrLBFA1NQUEeGXwNNzWIruxA/NK3ve0+ACGuMSJAovE4\nmQywcaMe5bLitlUrmxXbJXht9bLbx/hEF1lHGHVnVjpylkv7KRQSWOMUkFlIRidJ1lvKwGahpUBt\nwxL0KFGzbUM6nZXYNjj/nzX20W0hKtAjnevpwlQqg1RqI5aXm3+mdHwtVhCuvyV6TyxBNPRN6MX/\nhmvxMF5Epi+D8u74pW8Z4SLJQeYM39OjVwiPjQVr1RJFn/r7gQsXvNVUObWMyQr1ZbUhSe/tJ7Eh\nK2kKkK23FEk6asOeP5RGiYLWSq1HoTRs3360KQV41VVj3VmLFXck0dAsNiI3kMP4HeMo7Ijfb1OM\ncJHkIIv01OuNoQo3xqN2BqXG+qZNwGuvrUfNjJoqwD40YhfFEp2jWAx3xBAhEsooo4hiQ1oxgwzK\niMF7zIiKTKj6B+rAZl2E2URLGqNUYvNStwwNFaSPC2N/EiKSaGhqYAtm7p1p/XlcQqd5khzCcmEX\niZxMprmP3ul6QV3l7a5hXMc8YzHIdQhZRYWKEkqYxSyyyKKMMgrg+6mdODnee71fInn+afdi26jh\nMqcV+9JtGfHjxWmegoskB7dCyQm3wk02LwUABgf16NeSqYPJz1mcZrKoKnDXXcClS+u39fcDDz1E\n0UVIB+B2DFBHjwvyI6C8CLQIoeAinUvQqJKqAvv2iW+zDp6ziz7J8BptcxJ/mzeLGwEGB4Fz0ZkJ\nEkLCRRadcjOvUa1WkT59Azajanu/xJLgGYycpUg6lyDu6EaETIa1OF1U/O6E145CpwJ7kdiyWyeE\nxA47g1Ynawu1WkVxagqb8LLt/RJNGxzq2wEFF+keZF2OgLg43TwvxS1eOwo7ZiYLId2Jm9FCdgat\nTmOAStPTWKjX8TK22N4v0bTBob4dUHCR7sEu+iQTOUZEzY3o8ttRaBe1GxwUP0a2TghpGW5GC+lR\nLHFpQq0262htMVvT65q+jntwEWnp/RJNKx3q2wgFF+keZNGnXM45oiTz6BocjDYyNTYG9PU1rvX1\n6euEkLbiNFrIEGQy0ums4xigbFoXIhO4FX+KT+F/YAh1KDiHoc4omAda51DfZujDRbqHclnc5egm\nKiXz1jKvGSN4whRdXjy9CCEtxan+SiTIDMzRKTsPsPLwMIpTU1io1zGBWzGBW5FJpTA+MoKhoaEQ\nnkVMaIVDfZthhIt0FxvX57JhcNBbVErkEN+KYdNBGgVIy6iqVUzmJ3EidQKT+UlU1eaOMtJZONVf\n2RW0G5EwUc2XmcLQEMZHRpBLp/Ux6+k0xkdGUOgksdUlMMJFugORh9fiYrA97YZNUxR1FVW1iqni\nFOoLuq1IrVLDVHEKADBU4AdjpzI8XBZ6YxmRK9msRwOj5guAbWqwMDREgdUBMMJFugM7ceQXWRF+\npRJ+lIvEmunS9JrYMqgv1DFdmm7TiaJFhYo88kghhTzyUJGM97ubjkLZ/URrTvVXooJ4K+ZIl5uz\nhcbzT+v+V/fv1b8+/3S01yM0PiVdgpOjux/sjFH9uM6TxHIidQIQ/ShVgF31XS0+TbSoUIXzGMcx\nHusRQUEc3YE+KIoCTbtk+1jZdQ3DU/GbZH2/lrnIx2g0TtKh8SkhVmQdil59s8zYGaMGjZ6RRNGz\nqUe4ns6mhetJpoRSg9gCgAUsoIR4v9+dOgrt7gcsNYgt2WNFDA0VMDo6g1276quRMBE9rs4WGhNq\no9gC9O8nkhGpTCoUXKQ7cHJ094NhWirDq+s8SSRVtYr664IoaR8wXB5u/YEiZhbi97VsPS44dRQ6\n3c/LnjJknlvASij7u6ZLnN3jBgUX6Q6icnQvFOSmqEGiZ06w/iI2TJemoV1qThX1vrm3IwvmsxC/\nr2Xr7cRcFyX7uLN2Gnpxbvfj8p5KrXdK9/QMmmrAwtnfFV3i7B43KLhI9xCVvUIU0TM7jPqL+VcA\naPrXRx8A/uR3KLzaQG22JlxfPr/c4pO0hjLKyKDx/Z5BBmW0x/FcVmxudYEXRZFETu3iQvc+KEq/\nZU1BrVZxXeBunGd5eX0OqqYtSq8ZqYt8lzi7xw0KLkKC0up5iKL6CwBYfF0XYhRdLUVWp9WJ9VsA\nUEAB4xhHDjkoUJBDrm0F83ajdeSmoz0QdRQaiDoPt28/jKuvfsgUiVJgFMCLxvmIOHPmkLROy6nb\nMXS6xNk9brBLkZCkcf9e2HU7YeBK4D/Y1JaRULF6cAFAKpPCyPhIR6YU48TkZF7oc5VO52y6AhXs\n2uWzM9nmmj09g/jVXxXXQFWrKk6f3ifZMdh5SHvx0qVI41NCksbA5tV0ogQWvrYUQ1RNl6ZRm60h\nnU1juDxMsRUi69YKFZijSzJqtVmp6WjQuihZIfvKytyaN5cVu27DyOq0SOxgSpGQpCGqvzDThYWv\nqqoin88jlUohn89DbbHx7FBhCKMzo9hV34XRmVGKrRBpTBsCTmIL0EVMVHVRdgJJJqzsug1F52m5\nCSppCYxwEZI0jDqLJ76h122Z6cLCV1VVUSwWsbA6SaBSqaBY1MelFGg8m3jsBkCLMESVEWkyTEcN\nEeanLqpaVXHmzKGGgncRMmHV07MJKyvNj+3pGWw6j9V4tVar4PTp/Th9eh/S6Zzv50DaD2u4CEky\nzz+tF9HPn9MjW7sLXVf4ms/nURE4/udyOcwYQ8ZJYtEtHdx8TimBRJWMalXFCy/c1WR8KiKdzmF0\ndMbl4/uwffvhprPKasQMInWgJ57xUsNFwUUISTSpVAqin2OKoqDud2wTiQ1OAgQQC51WXh9YF0LA\nelTt5+duQPbMW5C+mEYtvYjp4R/j5aEXAQC9vYP4lV9prrd0IzCjfL7EGxztQwjpGrISg1nZOkkW\nTgOgFaU/Or8quHF7X7dxALBWb7al+vP4hR9vw4aLG6BAwYZaBiNTN2FLdSsAYHn5vHA3N0X0kTnQ\nk0ih4CKEJJpyuYyMxXg2k8mgHJXxbMRU1Som85M4kTqByfwkqmq13UdqK40eVYDepajT2zuIq69+\nKNL0mp0ASqdz2LWrjtHRGQwNFRrqzYanr0VPvbFMuqfei+Hpa233dRKYTmci8YVF84SQRGMUxpdK\nJczOziKbzaJcLieyYN7q6VWr1DBVnAKAru58HBoqtK1maXi4LK3BskbWzJGndG0jRKRrG227JRuL\n/ZttMCJ1oCeRwggXISTxFAoFzMzMoF6vY2ZmJnKxpapAPg+kUvrXsFwopkvTDQaqAFBfqGO6NB3O\nBYhnhoYKuPrqh9DbO7i21tMzKCx4N0eeaulF4X61DUuORe9DQwWMjs5g1y4N27cfbZ0DPYkUFs0T\nQmKBqgKlEjA7q8/9Lpejm44UBFUFikVgweRUkMmEM83pROqEtF46nUvTWDXmmC0dtlS3YmTqpsa0\nYl+aI3Q6DBbNE0IShSFiKhVA0/SvxWJ4kaMwKZUaxRagf1+Sm4m7pue3TgAPfxSYeK/+dfdT+g2K\nnl6Etp5m7Pbarjhirjd7eehf8P9dexYrl2XAeYUEYISLEBID8nldZFnJ5QCzldb6iJdgRpZBSKV0\nUWhFUYAgLhTVqooXfvwJaClTKupiGvjTTwETtzbdP51LY3Rm1P8FSVsI+h5WoaKEEmYxiyyyKKPc\nlsHhRIcRLkJIopiVdLmb1xtHvGio1SqYmiq2fOyJzG0iqAvF9HSpUWwBwIYacM/XhfevzdaCXZC0\nnKDvYRUqiiiiggo0aKiggiKKUBHDUDBpgoKrTZxST+GB/AP4TOozeCD/AE6pp9p9JELahhsRIxrx\nUq8v2A4GlqFCRR55pJBCHnlPH1jlsl6zZSaT0deDIPVWGnpZuJzO2szTJLEk6Hu4hBIW0Pj4BSyg\nhBDy2SRyKLjawCn1FB4vPo75yjygAfOVeTxefJyii3QtIhGjKMCePevfywSJVxPIoFGCQkEvkM/l\n9DPmcuEUzMu8lXpXtiKVafxRncqkMFweDnZB0nKCvodnIb6fbJ3ECwquNjBRmsDSwlLD2tLCEiZK\nE206ESHtpVAADhzQBYyBpgFHjqwXzssEiVcTyDCiBIWCXltWr+tfw+imFBleplIZXLXjcxgZH0E6\nlwYUvXZrZHyEXYoJJOh7OAvJVAXJOokXFFxtYH523tM6Id3A8ePNxejm7j+ZIPFqAhnXKEGjo3qj\n59JQYQijM6PYVd+F0ZlRiq2EEvQ9XEYZGVimKiCDMmiEmgToNN8GBrIDejpRsE5ItyIqnN+9W8U9\n95Rw4oTe0fWWtxzA3NzxQF2KWWRRQXNLZByiBO10VCfR0+gi7/09bHQjsksxmdAWog0YNVzmtGJf\npg93jN+BHYUdbTwZIe3Dag2xe7eKT32qiA0b1tN/qVQmsNO2UcNlTitmkME4xvnBRQjxBG0hYs6O\nwg7cMX4HBnIDuh9eboBii3Q91sL5e+4pNYgtwH9XopkCChjHOHLIQYGCHHLxE1tRzQ4ihLQNRrgI\nIbHBPN5nYiIFRRH9fFKwa1cAh9G4E+XsoBCg8SYh6zDCRQhJJObuvw0bwulKTBxRzg6ywY03GY03\nCfEPBRchJJaE1ZXYEsJMAbqx3feIk5hyK6RovEmIfyi4CCGxxM4mIVaEPXk75NlBIjG1D/uwGZvX\nBJVbIRVXSw1CkgBruAghJAhuJ2+7JeQarjzyQhsMYL07cz/2Q0PzZ4ECBXWs18vJ9sohhxnMeD4b\nIUmHNVyEENIqwk4Bhjw7yC76ZESx3DqYuzXerKpVTOYncSJ1ApP5SVTVqq+zE9JJUHARQmJDIoe6\nh5wCBBDq7CAnQ9dZzLoWUm4sNapqFVPFKdQqNUADapUapopTFF2k66HgIoTEgsQOdRdN3s5k9PUY\nIBJTZrLIevImK6CAGcygjjpmMNN0n+nSNOoLjbYd9YU6pkvT4TwhQhIKBRchJBBhNegldqh7yCnA\nsDHE1CAGm27LIIM//O4fYjI/ia2prXg4/zBeUl8SCim31GZrrtarVRWTk3mcOJHC5GQe1SqtJUhn\nQ8FFiBfoAN5AmA16iR7qHmIKMAoKKOAczuEYjjVEsf7rd/8rrnv/daGm/9LZtON6tapiaqqIWq0C\nQEOtVsHUVJGii3Q0FFyEuEWkLvbtAzZv7irhZa6zevbAA/iFhcaUn1+PTtnw9siHugcU0W4MQ+OC\nNR14076bQk//DZeHkco0frSkMikMl4fXvp+eLqFeD39sEyFxhoKLELeIHMABYG4umO9SgrDWWV22\nMo878Dh2oFF0+WnQ213ejb5MX8NaX6YPu8u7gxzZnoAhOreGoXEVZW7Tf14YKgxhZHwE6VwaUIB0\nLo2R8REMFYbW96+J3yCydUI6gch9uBRFuR3AGIAeAF/XNO1zsvvSh8sfp9RTmChNYH52HgPZAewu\n7+Yg7ChIpfQPZRl+fZcSxAP5B3SxZeFVDOAB3Lv2vd+XQvZerlZVTE+XUKvNIp3OYni4HI4BakAP\nLTe+VIYoMxuLGv5XQWcQVtUqpkvTqM3WkM6m16JI1jWz2DEzmZ/U04kW0rk0RmdGA53NjsnJ/Go6\n0XLddA6jozORXZeQsPHiwxWp4FIUpQfAPwO4DcBZAP8PgI9pmvYT0f2TKLjaLXaMiIO52Lgv04c7\nxu+g6Aob2YezgaLoNTwdzGdSn4HAHxMagM/gPgDhz1k26n3MKahUKhOO67xMRLv8t0wh5WgY6tUs\nVCSiRILJsF8wpwSVfgWapgGm3oNUJtUUYTLv8aWnvoSv3fc1vJx9GVtmt+ATn/kE/t2t/04q0sIg\n0n9TQlpInIxP3wXg/9U0bVrTtEsAHgHwGxFfsyWcUk/h85s/j0f3PRpqG7tXH6LEdnYlEVH7v5kg\nvksJQVZP9UbPQGQNepHW+wT00HJjGOplHI4XDyuR/YJ2qVFsAfY1WU8VnsKffe3PUM1XoaU0VPNV\n/NnX/gxPFZ4S3j8sEjO2iZAQiVpwbQXwM9P3Z1fX1lAUpagoyklFUU6+8sorER8nHIyo0uLcYtNt\nQcSOHx+iRHd2JQ2j/X+wub0+Tr5LUSKrs/qdI7sja9Az1/VUn9qB7330Xjz93vvw9J13BvfoCuih\n5cYw1K2LO+DNw8pLnZXsviWUsNjb+HNssXexJcOoh4YKGB2dwa5ddYyOzlBskY7n/2/v/YPjOs/7\n3u+7C2IDWDJ9uRRXlRUshLkiRcey05iTe5HYY1yTc21JdWWrbSJ1xTCSaVyacS5l11Ft70xkt3dd\nj+1W5qSX0sAKFZXY2pOZ2o51LbeJmEKVYsSpkqlFOxApBQJgm9ZSBBvKEujFj33vH2cPcPbs+57z\nnl/78/vhYECcc/acdw8W2AfP832+T9tF81LKKSnlPinlvmuuuabdyzFClVVyEjbYCZOt0nZwSXSP\nU3c3USgAFy8C09Md67uUJDcXbsb7p96P7fntgAC257cnXr7OZKzApPLkzTj3pfejWnkTIAWqlTdF\nN0aN6KFlYhhq6uIOBPCwKlcC/fbWWTVwGDUhrWMg4fP/BMAvOr6+vr6tq/ELqIZ2DFni4oC6rjDZ\nqv2l/U0ars3H1TNkAKjnikq5bHUpLi1Z5aZSqecF8jpuLtzc0tfT2FgJZ89O4sU/eB9q1cGGffYf\nJJHWUyhECpYL9X9e+wErm7SEJYxgBCWUlI/JjGTUInanh1W97IiN5mvpNFxOSwYnIxhR6sv8xgER\nQoKTdIbrvwO4UQhxgxBiEMCdAL6V8DUTx8sXKLUthdWfrRqXBZ2aLZESga9nZxyGskPK/dRzxUCc\n7p4kMLlcAakffAnrr6r1c91QPvcbh2Nj5GGlKDsCANLATSdvwt5H93paMjgJkn0jhEQj0YBLSrkO\n4KMA/guAOQB/LKX8YZLXbAUqHQsADGWHkHljBhurjX966oIet2ZLbjR3O5n6EK1fWdfu64Y3pI5G\n5b8V1t3Tg3KlgtHZWaRmZjA6O4tyhcN+bZ79QhVA8D9Iug0jDyuddqtmPT5XyGF8YRwTtQmML4x7\ndhsGmaFICIlG0iVFSCmfAPBE0tdpJXb5QmUH8dnUZ5WPUQU9flowkRZ4+6G3+5ZL/M7TS29IbUHn\n4hnG3VNDuVLB5NmzWKlbESxWq5g8exYAUMgl157fLfiV1XsJO2jSYVJ2DIJfSZQQEg+JB1y9ik7H\nsn1ku9IYUhX0+GWe5IbE9x/7PkZ+fcQz6PI6T+JO3f3AyIjafytGG4jimTNYGWj8cVyp1VCcn29L\nwNVufzk3up+roexQ3+kTx0pjTf5bXjotQkhn0PYuxV7AqcNafW0VqW2Nt1UX9Jhknkw0WLrziLQI\n3UEW1A+sp4loHeBLuYyllPpHcakafsRKWMLYkySNzo7iluO3tGlF7cOk7EgI6TwYcEXE/eZ0ZfkK\nhBCWiN2nbV6nBXPjlwnTvRl98LEPhg62Ou0Nt61EtA7wpVjEyIULyl0jmXBloih0opluO+woOpFK\nuYLZ0VnMHZwDAOw9tddXp0Vaj/19mknNYHZ0VmlcS/oPlhQjonpz2ljdwOBVg7j/4v2ej3VrbG+E\nAAAAIABJREFUwURKKIXzfpkwL02ZCe7y0eprq8o33G8c+kbD9fqKiNYBniwtofTII5j8xCew8gu/\nsLl5+Oc/R2nv3mSu6UGnmum22o4iLEblWIfNyJkd78ZpHMDlS+ueP7vuUT62Cz2AWAKuMspG1hXE\nm6S/T6R7YcAVkahvTs43Ed1cRBMNVtg3o28f/TaeffjZzfl4Kp2MjdyQTb5enab16UpGRlA4bWWP\niocPY2nXLoxcuIDSN7+Jwvve1/LlBNEhkkbcP8NKLzzbZmRlBWdwMx5f/jWsYV1/fB0vF/qob+Tu\nAduLWMQkJgGAQVdAkvw+ke6GJcWI6N6Ewrw5tbpscqZ8piHYMsFZWmLpMSbqGrHC6dNYuOsu1Pbv\nx8KHPoTC+9/fluXoStRsvvDHqBzrsBk5jf1Yg9rM1Y2pC30YiihuBls2K1hpyYifXiPJ7xPpbhhw\nRSTuN6ebCzfjvoX78EDtAdy3cF+i2aLTxdOBgi0bO3vXiVqfriRpjVhAqJcKj1HG22En8vRdS3jw\npQfxmY3P4MGXHsRzdz23eXwZZYxiFCmkMIpRzHx0RnnusHYQTpakZsSPZjvRo/t+xPF9It0NS4oR\niaqfaidhNTl29q5TtT5dSZIasRB0i16q0zAqx9ZtRsp3AY9/5VtYe0O9nDh6GY9/xSonDu0cwhfw\nhYYS3xf+3Rew8bMN7P+jrT/m4rKD2PWTXahc3yzs3vWTXdZANmIMbTuIDgZcMRD1zUmlgwKSD+J0\nbw4Q1jzIK8tXlPvs9VHrQ0gjqtmmTRnvUgmYnETxcyubwZbN2hvW8Oef/3MM7RhqKvFdGbiCP/qD\nP8Kt//VWVJeqyIxkMFYai0UXdPhfHsaXpr6E6hu2yl6Z1zM4/C8PA5xgFQj7+zFfnI/9+0S6GyFl\niJpSQuzbt08+++yz7V5GS1EJ5VPbUhBCNIwI2ja8LfayjuraEMC+I/sw8usj2n23nbhN+/gk1tlW\nVEOrOygTRToP0y7F1F13QypEHUIKQABSUe8XEKhBMUcxAKpuxLHRMXz7176NRz73CC6MXMCupV04\n/OnDuO27t2F8YTzS9QjpZYQQfy2l3Gd0LAOucMTVnffl0S97dgY62Z7fjvsW7gt8DS+8nofJc+zp\nLkVHN9kmw8Nt1VfFTU9//zqcUYxiEc0TDPLIA4B23wIWQl/T3Y0IWMOqv/jMF/HW9761qbtuIDuA\nG4/fmFh2plKuMBNEuhoGXAkTZ2bns6nPmgvXBfBA7YFA5ycRGB1Vj/TJ54GFhVavJnb6IkPZweiC\nnylMAYB2XxSbBq8g73vl7+HcsXPYWN5o2JcaTsXmZL8ZYC1WrZYtV7IuzmsR0gqCBFzsUgxBnN15\nQfRO1Ea1mBYMrW4n7DJtLwUUMIUp5JGHgEAe+c2AymtfFJag6UbEEnKFHAauapb12h5SUamUK5i7\nZ25r8LaiMhrXtQjpRBhwhSDO7jyVrURqWwrpwXTDtvRgGquvrXK2YSvRDaeOcWh1O2GXafuwLR8O\n4iAA4BROYQELDQFVAQUsYAE11Jr2hWUE6teuvT2qh5TXSJtzx84Bax4PDnitTofjfYgbBlwhSNrs\n9AOPfgC3n7x9c9tQdghSSqtrkAajrSPpodVtJs7XMTHHLiUuYhESctPVvdyCdsASShhG42t6GMMo\nwXpNR/GQskfaVBergNwaaWMHGu5SpY5e8KvyuxekP2HAFYJWmJ3a2+44dQd+/vc/R22tMf/O0k9y\nlCsVjM7OIvXmN2P0T/4E5d/8zY4wJI0bOsq3h3a6uvuVKsdKY0gNN74tmHpIeY20MaVT/KpMslNe\nx8RxL0jvwYArBEGduM+Uz+DLo18OXA60Rc2qgdYASz9JUK5UMHn2LBarVUgAiwMDmDx6FOWf/tQS\nyvdIsGV3J66trEGkBQBApMVmIN8t2dPN4HhmBqOzsyhXks0guN3fw2SlvHRUrcCrVJkr5LBnag8y\n+QwggEw+Yyxi9ytHDmS9bR/T2XRHCOZNslN+x3C8D1HBLkUFcbbKR+kE87OMSMImop85Uz6D//Av\nnsAbLvwcl3dlcPrwDThzwPrln89ksDDeG35ESv81F93QrWgHxyu1rUzCcCqFqT17UMjF/6bt1VUY\nRF/l1SkYxfKh3cyOzm4J4h1k8hmML4yjUq7g+Xufh1xtfM9J2noiKLrnkc6m8a6L7zI6xu9eBIX2\nGZ0LuxQjEPdA5iidYF4ZLJZ+4sX+vl9V+TmEBN5UqeL9XzqHm5+0/mJdqvbOX6aq16SbTihZe2Wv\nypUKDs3NNQRbALBSq6E4n0zZJq5SoJ+OqlvxK0fmCjncdPKmhuzZ3um9eOfFd3ZU8KDLQm0sb/hm\nsOxjopRm3VAP1jsw4HIRd6t8mE4wu2zxmfXGgbY2Ii0SK2GGeVwvoPq+D1Zr2P/ISwCAkUz3C3lt\nTI1221mybirtVqu4e24OO595BkfPncPk2bPQSbCTCo7jKgUmZfnQbkzKkblCDuML45ioTWB8YTzx\nQCtMp6CXaN/WYPkdE6U0qzof9WC9AWcpuoi7VT7ovMGGskWqcaDt2776Nt9Sj7tcZGfoAHiWh8I+\nrlfQfX+3X6hiOJVCaaz9Qt44OFM+AwgYme22s1uxOD/flL0CgOX1dTx8/rzn8pMKjkcwoiwFOq0W\nVGNzVIGU7bXVa+QKuY7JVp07eg7nHz6/+Vq3M0MAPNc4VhrD3N1zyn12ZsvkmLjuBfVgvQMzXC7i\nbpUP2gmmKlusvWENpz932lecD4TP0PW7Cabu+/v6rl9ITBPUDk4XTxsFW+0uWXtlqbyWn2Rw7FcK\nbKfdA2mkUq7g/EPnm14sJpmhXCGnFfjbmS2TY+IiilUH6SwYcLnYX9qvNB2NYvkQpKNRV554dfTV\nTcsIL8Jm6HRlJtPyU7ejC4x/69/e2jPBFuD9OjB9jbaCMFmqNJBocOxXCmyn3QNp5Nyxc9p9Jpmh\nG4/f6KvBMjkmDuLUg5H2wpKigzPlM/jOse9gY7VRHRK1k9P21TLBpGzhRdASpo1IC6X9hG0Z0OvY\n359eH+SsfX10WMdraWysqQPRibsqmmR3ohOvUmC77R786KdONy+TVZPMkH1fvO6XyTFx0KrrkORh\nwFXHq1W+tlbD6eLpWN98ddYTJZSUreemHUz7S/uVNhR+GTqd15duey8SJDDuVsK+PlqNHTgdO3cO\nyxuNb57DqRQOXXstnlhexlK1ipFMBqWxsa1g67mngNNl4PJFYPtOYH8BeNu7E19z1D+WgmKqFwO2\nOt1s8bWpnsmPbgzisrdmjY4z0WC1SrPWSdo4Eh4GXHX8WuX9SnJBvLu8BOqFwlZ5wuQXqZuwmZrt\neX3mo1OJ0y+tX+imTF4hl0Mhl0O5UkFxfl4dXLl57ing8YeAtXrZ6PIr1tdA4kFX1D+W3HgFVG5P\nMFsvBkD5u8Kr0y3sG3lSQVwcDGQHsL68rty3/MRyi1fjz7mj53B+6jywASANXDd5HXaf2N3uZZGY\nofFpnc+mPuupxvUquQQ1N9UZmg5lh3D/xfuDLz4Gohi0toNuWy9pEQ9OWkGWm+3XAB+bSvzyQbJO\nfufxMlkNap46k5pR/34TwERtIvD6AH+j03ZSKVe0XYRRnnMSnDt6zhL4u3jT/jfhyotXuip72I/Q\n+DQEXhonv5JL0A4/XbbsyvKVwN5XXt5ZQXy1gor728mZ8hl849A3+rqrkmi4fFG5WSqCsHIZGB0F\nUinrczmGZkLd2JygI4H8BPhB9WIzH53BnS/difdsvAd3vnQnnrzrSQDROt062a4gV8ghnU0r93Va\nd9/5qeZgCwD+/vTf0+y0x2CGq45OwzWUHcItx2/xDDy02TEB3HHqjs3yzdCOIQBWYKVjKDuEwasG\nQ5Umga0sD4CezAD5jqURwAO1B1q7KNI5aDJcS5mr8fS9X9wsRZbLwOQksOKIaYaHk5lNrspWAUAW\nWRzHcWUGLIUUpOKXioBADbVAGa4yyvjw+odxZWDr907m9Qx+76O/h48e+GjorEknZ7iA5pInYHX3\ntWJeYxBt24yYMT5vp9xbskWQDBcDLgdhNUFeJcL1K+u+Y1S8CFOatHVX3dCNFhTOlyRunBqvjy7/\nHT7/w/+M4dqWfuf11AA+vGc/vjvy9s15mKOjwGJzvIJ83ppRHie64AjQz2L0C6iCzHXUnev6167H\nj676UZinBKC9AY0pSYv6VecHEOi+zAzMQDs2wY2jHNqNDQu9CAOuFqPKuqQH06it1yBr0e+vLojw\nyqwB0O5zZoC6TXjupbXrhQweCYZqgPVdlefxufnvYqT6Myxlrsanx34NX83dBAGgNjEBwCojqn71\nCQFonChCo8tW2eiyUn4BlalezC9bpsL0zbyb3vTjXqsu4BRDQmlLoctO6TRcKpyDwDs92O0XqOFq\nMW7901B2CFLKWIItAHj6159W6j+8XPFNHPPjHtTdCnTPy2++JOlNVCOAvpq7CTeM34v0xDHcMH4v\nvpq7CUCjmeqIxqlBtz0KfrYQKt2VymT1i898EWOjY5tzAQ+UDyj1YqbX123XDUs+8cyJpt9DrZ6N\nGJYgA6BN5y/qOj91HmA6bdvuE7tx3Ueus5x7ASBtCea9zE45X7E7YcAVEJ0Q/ebCzbhv4T48UHsA\ng1cNorYW7M9kkRYYyg41bX/urufw+FceV44L8RobZDJSqBvH+eie1wcf+yCDrT7EdFC1e+RPqWRp\nthqOGba2x41qJJATXeDjFOB/r/w9vPW9bw0lovYbSeRG9Wb+p7f/KT7+Kx/v2rFFugDlhWMvNGwL\nEpgFbQ7wEuvvPrEbE+sTmJATmFifwC8/+cuew687uWGB6GHAFQDTjFCYQdeyJnHL8Vuagok///yf\nY224MSiyu5W8OgtNug61Y4AWLxt1NraDbuqmJPFQrlQwOjuL1MwMRmdnUa5svfnpRgBlBwaQz2Qg\nAOQzmSYX+kLBEsjn81YZMZ9PRjAPbGWrsmg23DT16Qqa0XB2RRZRxCEc0o4kcqN6037kc4+gOty4\nvZvGFukCkfXl9YZgKsh9DtTtuA2BR/HY2cO9p/YCAOYOzm1m3LTXToGdjB0MNVwB8BKpOzVWuuNE\nSlhjghS33D6HW1P18Zc+DimC6S+iPh8n1EWRdqLSaDnH+Pjt7zTC+nQF8dEKIqhXoeo+fM/GeyBT\nyfweagW6jkqgUVsV5D6rdFQ6BrIDeOfFdwZctf4a4g0CWAPkavNiqeVqLdRwJYTpYOj9pf1IbXPV\n37el8MH/8EHcceoOz1KfszR538J9GBHB9BdBUJXn3HR6iZH0NiqN1kqthuK8lXEo5HKY2rPHM5vV\nSeh8uvzQZTRU26MO0VYNS971413KY5MaWxQ3XtklZ/YryH3OFXINZT8v1i+pXe/9UGXcAEC+Lq0/\n3hXv4HFquUz1bMQMBlwBMBGi2wghlF8HLYkF1V8Ewb0WHWFKpEAw41VCbJwlxEWNRsup3SrkclgY\nH0dtYgIL4+MdG2xFQRUEOUXUTqIO0XYHEpl8Br+/9PuJ/R5qBaZGqEHus31eu2kgk9eXGMOarXpq\nstYAXXIxDi1XED0bMYMBVwBMhOiAJUbfWG3sVNlY3djMFLmzWF7lOlW3kmlpwATnWnRzE71c+HV0\nYwckaT92iXCxWvWatKXVbvUqqiBIVzYK2pWou56z+/DoO48a/R4qo4yd2AlR/7cTOztGWL/7+G7f\nYCrIfXYzVhoDFAUDMSgC67eAuhYr5Dt0HG767ISMHwZcARkY2pr3PZQdUmanTEuPpjjLEI+XH8cr\no68kkjUyDShN6MYOSNJaVGJ4VQnRjbPj0EtQ32uYWjAklRX3K4eWUca9uBfL2BoOvYxl3IN7Agdd\nSZSyTIOpsFYXuUIOex/d25BJG8gO4KaTNwXWU9nZJT9D1HQ2HSgjFwR2QsbPgP8h/YfKDBRoHpWz\nfkVdl98+sl3tPL9jyBKqhzQZdRus2lkjALGI2u1zxGGEGnfQSXoLt9h9sVptEr+7EbAyW6WxMaVg\n3j4HgJ4sK5piB0JxDNEOQhFFrGK1afsa1lBE0fj6bqG4XcoCEFkInivkEhWT+53f1HxVp91ykhpO\nYffx3bj8F5eteYwbANLAtYeujeU5ZkYy6tFNHTaLsptgl6ILlWt8alsKckNtZKpygdc5z0spG/y5\ngnYAmnZJdgLdtFbSekZnZ7X6LBVpAOt1l3i/c+Qzmc0RPqR1eDnqB+lm7PQZjWEJ4g6v7ZYErOxc\nyDFCSa23n2GXYgRUpbDamn5EjypjoxLGD17dbIYatMTWTVmjOMuTpMt47ilriPRn7rA+P/dU0yGm\nhqU2qsqK7hxBz03UBC3reWnEdv14l3FZsFdLWXF4fGXymYZSZ5I6qyh6NqKGAZeLoMGLTlDuFsZf\nuXQl8vW0Y21SouPE6DQo7VOeewp4/CHg8iuwuiVesb52BV060bu6j8zKWrnRnaPfBPVJEKZDrYQS\nBjHYtD398zQO33/YuMMtiDVDNxEkkDTtltSec7Eai/atW0Y3dQsMuOrYFgaerVEugmRsglhK6ND5\nZskNGaoDMGnbhiDdmKRHOF0G1lxvAmtVa7uD0tgYhlONv36GUylMvOlNytPemm12adedwznCh5jh\ndKYfxSge+t5DgTMnBRRwEictR30JQAJvfOWN+OS9n8SBrx4wzrwEtWboFqJ4fOmyS15BKG0cOg8G\nXHBZGBgSdFhyHCU2O2sk0s2mWUHLk98++m18/eDXlbYN9M8iobl80Wi7zrD0xSvqTPATy8tN27rN\n9LRTcAdXR3EUk5hsmJP4+X/zeTx515NNjzUp612FqyCkQG4xh9899rs48NUDgR7fq6WsKB5fuuyS\n6pxOaOPQWVA0D+8RN0PZIaz+bLXBVyvsuBtV92OYrM9nU5/Vjp94oPaA0Tq+fvDrynMMZYewfmW9\nUccmAEirLBh2zaRPeHCyXk50sf0a4GNTvg9PzczoXtqouUTzNpVKGfPzRVSrS8hkRjA2VkIul2xH\nXicQZkyQauyPgFCK3XMLOXzthq81bPMSrqvOnXk9g098+BObQVe3C9+jYtqlGOqcmtFFALB3em/X\nB6ydCkXzBjizONrMlgDuv3g/bj95e6JapKAZpajlydPF09rS6ZXlK01NA/axNC8lvuwvANtcZY5t\nGWu7AUF1WZVKGWfPTqJaXQQgUa0u4uzZSVQqnWG2mRR2cOPMSk1i0tfvSjX2R9dZeGHkAgDgybue\nxJ0v3Yn3bLwHv/GD39BeQ3Xu6huqeORzjwBozub0+tgY1fNLQhNln9PL6Z6lxc6gLzNcKtsGFXFa\nGKiuuW14G95+6O34/mPfb9ruFdTpzmUaCGozZIbQ2oF48txTlmbr8kVg+04r2Hrbu40eGnQY9ezs\naD3YaiSTyWN8fCH0U+h0RjGKRTQ/7zzyWMCC9nFe1g1urn/tenzo0x/C5//N51F9w1b2RDcIW3du\nURP4i7G/aMjm9LrlQDuen98w7X7PLiZFkAxXXwZcXiVEm7Blw6DXFGkBuWHm7+XEXZ688dYb8cIT\nLxiVK7XPX1jmrFeW1Toa53EmpUvTtbNMSZzYjvNL1WqD0amKmZkUdPX1iQkz36duRBvc+Phd6QI1\nd1nRDqqKKBoHdkGCwF712rJp1/OrlCuYu3tOvVMAE7WJxK7dr7Ck6IOnFYOmbBhVSK67pirY8l0j\ntjoA7zh1B1ZfW8WzDz1rPLdQ2e0ogH1H9uGW47coOyGdhJmtaMMZi8SPIMOoMxm195NueydTqZQx\nOzuKmZkUZmdHPcuiYecl6sb+HMER5ZzEIIOwg4wU6lWvLZsgzy/O0mqukMNAVj1AptttNXqBvhzt\noxu9o8sqxTFSR3dNr+P98CqN2l2LqvWZjPA5XTxtrbcumLeJal7qNWORWS4SlLGxEs6enUSttqUd\nSqWGMTYWbW5gq7G1aPbzsLVoAJQNACWUmgTqJvMSg479GcGIMmulCuyCnLvXx8b4Pb8Gobvjd2zU\nMUaVcgXrrzaPnAs7QJvES19muIJaNMQxiFnnoaXCNKhRrcuJLkvmV9Lb9M+SD+COU3fE2jDQTW75\npLMpVyr43+bH8K9qH8NF5CAhkMnksWfPVNd1Kc7PFxuCRgCo1VYwP19UHn+gfAC/93//HnILOYia\nwPWvXa/UVanwG0LtxCtr5baXKKNsfO5e9dqyyd6atQIpB/bzazCVBZoq4lGsHOaL84DiLSF1daon\ntHHdTl9muIIOafYLEkw0Se5reulWTYMavyBFlSULmq27uXCz71qCaLK02cUIZUrSfzjF9Ys4gNM4\nYInrx/ZgvAt9uKpVdelOtd1+w55YmcDEH0wA2BJkxz2fWpe1AtCQYbO7JJ2P8bKtsN/847ZI6AQq\n5Qpefuzlpt/xbxx/I3KFHGZHZ30HU9tO8UHvia6UuXFJNRyLtJq+FM374Q4gVl9bVQrJbV8qXfeh\nl4g9juHOXuL/9GAat5+8vSnwiXuodNCOybAdlhTaEye9Nrg6SLdlXILsMD5eNn4CeZUnl667sdfQ\nfX8ggL2n9mLu4Jxxl3jQzkbT10ZDSTMNYMM6pleC3lZC0XwEVKLu6qtVpAcbp7zZZT9dufHZh71F\n7HE4z+8v7W9KW9sMXj2oFP3rArTLi5dDNQMELbeGmbFIoT1x02uDq8fGSkilGkt3Oi1aHILzsD5e\nNn5iepUn1wpWUIS6RNpLaL8PElYHYYB33aDlRZNSbVNJs5784iig5GHA5eI7x77TFEDU1mrYWNtK\nyQ5lhzaDBG1Zz/UXjDsIiWO4882Fm/UGpo5h2aaji4IGMmfKZ/QBnEe5M+iMxTg0dKS36LXB1blc\nAXv2TCGTyQM+WrQ4hjtHDYj8uiSDdDf2Gr7fB1V1T/OHMxAskDYZizRfnNeWNGsrNcwdmutZM9p2\nw4DLwZnyGb0HlSOwWb+y1QUSRHvkDkLiGO68Pe/vOu8nrndiGsjYQZx2XTFqsrQaugBdn6S36MXB\n1blcAePjC5iYqGF8fEEr/I9DcG4SEKlE8TZ+FhBhbSt6geytzYPWlaSxGRTtPbVX6xQ/sCOY1NrP\nzd43gNsAIJnxSgIGXA5MMybOoETnaaUibmH4mfIZrFxcadruLk0G7QA0Od4riItqHeFGe98EWFbs\nE8qVCkZnZ5GamcHo7CwA9O3g6jiGO/sFRH4lxwIKmMKU0rsLCObJ1UtsCuZNqKEhKBorjUEMNr95\nrL+6HmvQEyQTyuHX8cKAy0GQwMQ+VlUa3HdkX2R9lh9nymfwzXu+ibXXm4Oetx96e0O2TBewiLQ6\nMjQJDL3ulR2QxhUMabVq0jxIJt2L3ZG4WK1CAlisVjF51vIqMjVI7TWizuQroYRtaPwdla6mcf8z\n9wMwKzl6WUD4BWS9ile5zo078MkVckhdrXhLXoNv0BPEPFWVIfWiV8xoOwEGXA6CZKCcx7pLg7ed\nuC2yPsuP08XTqK2pf7BfeOKFhq91Av13TL4jdGDod6/iFLZ7adXo39X9HD13DgMzMxAzMxiYmcHR\nc+ca9hfn5xtmKwLASq2G4jz/8o6ES0skIPDTP/wpKuVKLBqsIH5fvYJpcKIrAevsG7zO2yCCNygF\nNmRIAau06fzsolfMaDsBBlwOVIFJejCN1LbG22QSlETRZ5mMEfIKNFRaMVUAGCUwNAnK4hS2m2jV\nSPdx9Nw5PHT+PDYA7MeTmMad+Kfnb8K3n37z5mibXulI9NJEtZoiilhLN2bH1zPr+MoDX8F8cb6v\nNVhR0AYnAtbIHZ8ScJiGCFVWza8UuJkhlROYWJ/AhJzA3sf29rQZbSfQl8anOnSGqKptSXlAmRqT\neg6ZlpbflnOdOgNTE2NTFTcXbsZ3jn3Hd9B1XBkond9ZnGVa0nqmzp8HYAVbn8CX8Auwgqg3bJzf\nHG0zkhlTem7tSGv+JO9A3L5UKqPQVqLLVF0YuYDqUjX06KB+Z6w0hrOTZxsCoCBeWrrHewU9cc2l\n7GUz2k6BGS4XqsxUHN2EpphYIJwpn8Hqz1Y9z9MKr6qkB107icNGg3QedgHlMB7ZDLZs7NE2pbEx\nqF5lP6vVUK50RwdVp/lS6TJVu5Z2Ib0jnYgGyzTDF/dxrSRqQ0OYx8dhE+K8fhRtIPGGGa4Ow2TW\n4OniaWys+o9qSHoodENGMIFB1yp3+TBu+KRzqZtcYxcuKPdXq0so5HI49sILWF5vHMq7KiWK8/Nd\nIZbvNF+qEkr40MqHUB3eCnIzr2dw+NOHIeodKoX6vzgwzfDFfVw7yBVykQKVoI8PkxUj7YEZrg5D\nlxFybg/TTRk3ts7s6we/DgC4Y/qOWAdd012+P5i87joAwAXsUu7PZKxMzCVXsGXTLTquTtNEFVDA\nJz78ic3h17mFHD7x4U/gwFcPYP2S+l5HwTTDpzvuGI41ZLOO4VhHZQzbSRw2IaQ1MMPVYZholXQD\noFUkISpX6cy+fvfXMZQdwi3Hb4klo+ZVWmUZsXc4sXs3AODk+cP4uEPDBTSOthnJZJQ6rm5xlk9a\nExVmLuJtf3EbDtxwoGm7sxQVZd6iE9MMn+645fo/AMoZjjZe+3qZqFk10hqY4eowGrRKsLyy3L5W\num5Kt69WejDdVNIz6YD0Q2d6emX5SmxZKJPSKukNTuzejT+d+H/wD/f+oXa0Tbc7yyfpSxV2LqKf\nY33UeYtOTDN8UTN+AqIjtFxRCOKpRboLIaXh2PIWsG/fPvnss8+2exlGOPVFQzuGAFjzC+PqYnRn\nkQAr02WX6dz6phtvvRF/88jfNHhzpbal8IFHP7C5Fr9zmvLZ1Gc9p91vz2+PrLXSDdqO49ykOylX\nKijOz2OpWsVIJoPS2FhX6LfiQpdtGsWoMrOTRx4LWPA8Z6Vc0XalRTmvau2qDJ876CyjjHtwD9Zg\nNopMRZj1dQq2p1bYLkfSeoQQfy2l3Gd0LAOu4KgCFydhghg3QQMOk+PjCmJ059lEAA9NldPfAAAg\nAElEQVTUHjA+n4q4gkNCegGvgOUgDkIq/gISEKjBzPVcRQqpWM9rUp4so4x7cS9W4d2F7UXU591O\nZkdnLQNTF5l8BuML421YEfEjSMDFkmII/IZBx2H4GbSkZrI9rjKdcn6kgzh0Y7SBIP2IzurAS3Se\nlCA/7vOaOM8XUVQGW3bnpAmtbkTYLAGKGcwMzGBG6EuBfuXCuDy1SGdC0XwITAKUqFojnTDeq4vR\n7/ig59RhBz0q49M4zUjDmrIS0o2orA7uxt04hmObgnE3S1jCKZxKRJDfDvNTnWheQiKPvK8ovtXm\nrE0lwLpbjz1eB9gyFHUfqzomM5JRZ7g4XqcnYIYrBCYBStQsj27+oS6YMTk+6DkBvcj+5sLNuP/i\n/bhjOj4riK6lXAZGR4FUyvpc7m7RLkkOL7NOVRYLsDr0dBmeEYwkJshvxwBqXXbK1mV5ZbrSSLd8\nQLbXsGr3eB2TETx+jQyku6GGKwSt0HDZ1wkyUsjk+CDnpI7KgHIZmJwEVhxvlMPDwNQUUOj9Yb3E\nHD/huE4zZSMgGvarROfdjt890gn5BQRO4VTL78VMasazgQgCmKhNeB/rOAbwbmQgnQdF8y0gqS7F\noEFWkrBT0IDRUWBRUebI54GFhVavhnQwfl1/uv3uY6N6YsVJXD5dpudUBWQCAkdwBCdwItJ1w6AT\nuds4xe4UxPcmDLi6lE7LKGntH2LoQuwZUilA9TMkBFDrzk4pkgx+XX+qYMJJp9kdmFo9JHHduIO8\nsKhsHGzcdg60fOhN2KXYpZgMrm4lJmOG+p4RTUeUbjvpW/y6/mzNVBbZpmNsMXgnDWxu10Buk27H\nVtEwVgewhoNCPV6HI3gIA642oRKjd5q7ehiRfd9RKlmaLSfDw9Z2QhyUUMIgBhu2DWKwoauugAIu\n4iKmMd0kVgcQm/N7HHTaQG5T4g5ac4UcxhfGMSEnMLE+gQk5gfGFcWUgtXlsTX8M6V0YcLUB3WBm\nWwvmpl0ZJXphGVAoWAL5fN4qI+bzFMwTLe6Sok4kr8ritCujpMPUp6uTsnJxjisiJCjUcLUBnRh9\nKDuE9SvrHaPhIgEpl4FiEVhaskqKpRIDL7JJ1FE5cTu/R8VEw9UunZeOOMcVEQJQw9VZKDyadCXC\nK5euMKPUrdj2EIuLloh+cdH6mp5cpE7UElxSjvJhMfHp6rSsXLeWQUlvwAxXkmg8mr489GlcXl5v\nOpx2C10M7SGID1GzK52WLTKh1Vk5vw5GZrhI3DDD1SkUi43BFgCsrGA/nqQYvddY0vyFrNtO+o4S\nShhGY4NFkFE07XB+j0rQrFwUvZeJPivq94CQKDDgShLNm+3Nl55i6bDX0NlASMlxPwRAPAFTOywR\nogRBQQKcqIJ2k/JlNwatpIeQUnbMxzve8Q7ZU+TzUlpvuY0f+Xy7V0biZnpayuFh9fcbsPZNT7d7\nlYQYMy2nZVZmJVz/huWwnJbTTcfmZV4KKWRe5hv2e+1zkpf5pmtBQuZl3mi9Qgrl44UUoe8BIX4A\neFYaxjjMcCUJPZr6B6c9hIqVFavETHqaTrJAiIKdbVrGctM+d9aojDLuwT0Nmal7cM/mczfNykUV\ntO/ADuX2djUVEOKGAVeS0KOpvygULIG8EOr91HP1NCYlsW4JyFTlOSfOIOgYjmENrgkZWMMxHAt0\nzShdmGWU8SpebdruNpYlpJ0w4Eoa+024VrM+M9jqfTjup2fxCpj8NES6gOwojnoGYc5r7qz/Szpg\n88sqOYMgVRbMa7uOKIL2IopNQR8AXI2rqc8inYNp7bEVHz2n4SL9iUrPRQ1X1zMtp+WwHG7SB31E\nfkRK6a8h0mmU3I9zaqRU1/TTU9mPM9FN6dCtFRJyUA42nE93HCRC3eMw66Z+i7QLUMNFSBthKbkn\nUWWwJCQexsMoo+xbElP5P9nncOLMivmV9lQmonGMrymhBAF1adydNVIN2/ba7oVb7wXAqATbaaaw\nhKhgwEVIEniUkhXDB0gXoCuzSUgUUVSWxADgNbyGMspIIx34WiaCcfcxcbi7F1DQznm8hEsNXx/H\nceVQ7uM4bnw9FUECR/prkW6AARchLSTpCUCqYI4BXnic+qmUx6/LJSxtejy5MzvLWMYkJrGBDePr\n2pkZkwyN+5i4xtfkoe64dV+vgAJO4mSDt9VJnIysnTqGY8aBI/21SFdgWntsxQc1XP48N/2cfDD/\noPyM+Ix8MP+gfG76uXYviQQgSWs2lXRscFDKbdsoJwuDn35K5xWl0z+lZEqrM4pTwxXVz8rr+es0\nY3EzLac973cr1kCICaCGqzc5Uz6Dxycfx+XFy4AELi9exuOTj+NM+Uy7l0Y0uLNLqnGLQDyOEapJ\nUqurwJqreYuWYGb46ads3KUrXSaphhq2oXGk1zCGcQRHtJkZd+YmW//nlcWJq7zWzqyRX/kzqCaN\nkE6Aw6u7iC+PftkKtlxw6HVnoppdLoSVZ3ITx4zrVEp9bhVCWPIyokc3eBmwym1BByQDlpD8Klyl\nfWxc+A1x7nS87r0NB06TToDDq3uUy0vNwZbXdtJeVBknKZt9UeMaPhDE5ouWYP7o9FP2G73OOd0r\nk3QJlyLNQjQ1TrW7/U7hFADgIA5G9u1qpWmriXYtqCaNkHbDgKuL2D6yPdB20l50ZUIpk3GMUE2S\nGhwEtjVWsThdypCwpbkCClpLhCg2BUHtHuKwh0jiXCboOj6d0PKBdBsMuLqI/aX92Dbc+O65bXgb\n9pf2t2lFxAtdFskuH6qGD0TpKFTZf508CTz6KC3BwhBFw3Qcx2O3KQhq9+B1vC5bpdseh9VEEJz3\nHkCTJxgtH0hXYqqub8UHuxT9YZdi9xDUcD4Og/rpaavjUQjrM7sR20dUt3c3Qd3Udcfb3Yburz8i\nP6LtSmy3k3vc95KQuECALkWK5glJkHLZ0nItLVkZr1JJn13SdTGaCupVIv3hYfOMVpC1ktZhC+B1\nQnydeFwn3k8jrfQE0223s0yqc1G4TvqdIKJ5BlyEdAi6LkPTjsIoAVvUYI0kg62d0tlTDGNYW+ZU\nPXYYw0ZWF04EBE7hlPJcNBcl/Q67FAlJmCTc23WaL9OOQp1I38TjS9VR6fbromN96/HyAvPTlOk0\naDoHed3ooRGM0MmdkDgwrT224oMaLtINxKG1SuK8UVzshVA/Voh41kbCEVY75aV50jnIe2m4CCFq\nEEDD1fYgy/nBgIt0A0mP5wkreo8SFPk9pySfcy+iC3iCir/DjOkxGckT1/rihMJ40o0w4CIkQfyy\nQa3GGaRls9ZH0IDNL1jrtOfcycSZQQozzzCuWYomzzOuAKmdcxsJiQIDLkISpJOyPXGW+ryya530\nnDsdXcCTlulQgVDQwCZpC4dpOS2zMtt0/jABkv3cdPYV6R/lWbYmHU2QgItdioQEpJM6+nSdidks\ncNVV8Vk8dNJz7nRM5gA6ERCoIb7Bljo7iDgsHPy6JoNcw+9cAICawPDVNb7OSMfCLkVCEkTl6N6u\nNwRdB+LyshWISWl9npzc6ioM023YSc+509GNnPHqAgw6p9Dr+LAjiUzw6poEgs039DuXdcKRpm5Z\nQroW01SY6gPAPwPwQwA1APtc+z4F4EUAZwG81+R8LCkSEgxdqU9X/mO3YfLo9Ej75X5l2ewt8i1N\nZUCv8lwUUXxUvNzrg+rE/M6F14Yl7pqmVpB0NGiVhgvAXgB7AMw4Ay4AbwHwfQAZADcA+DsAab/z\nMeAi/UyYDkVVAKX7sM9LLVbyqAIeL61SkOClVaL4INcOo+HSnqsGiZfym8EWX5+kkwkScEUqKUop\n56SUZxW7bgfwNSllVUr5Uj3T9atRrkVIL2NrpHRlQB2qUl82qz52ZCScOSoNT4Nhj+JZwhJGMIIS\nSiigEKjcBujLc0G3x0UZZbyG15T7ssgGNkJVlT4H14ex7d5p4IYF4KvWuYaHLQ0iIV2PaWTm9YHm\nDNe/B3C34+s/BPBPNY+dBPAsgGdHRkaSC0MJ6WCy2fgyT15lw6AZLpYgg+FV7osrw6XqEISEzMps\nS5+Xfc2odhDuTCAHsJNuAnGWFAE8CeAHio/bHceEDricHywpkn5ketq7DBj2nKo3raABFEuQwfAq\n96mCFi8LB10gEybgiqrpamcZk5BOJkjANWCQATsQInH2EwC/6Pj6+vo2QogLrw4s0zmKbgoFdQeh\nva1YNLOMiDKfsR/xKvfZ5TZnufFW3IrH8FhDt56AwBEc0ZbnLuFSoO1u+4VFLGISkwBgXAJsVxmT\nkF4iKVuIbwG4UwiREULcAOBGAH+V0LUI6Wq8gpcktCuFArCwANRq1mcva4eoA7UB9JUITGcJYW8v\noIAFLKCGGhawgBM40TQU+hRO4QROBL7GDuxQblfZL6xgBUWYey34PS9CiD+RAi4hxAeFED8GMA7g\n20KI/wIAUsofAvhjAH8L4D8D+B0p5UbUxRLSi+iCl2w2eZ8rv1ioVLJEy04CiZjDdgN0KWE8sNxB\nmF/WqYQStmFb0/af4WdK/644slOmzyuonxghfYVp7bEVH9RwkX6kXcJ00+tGEjH3oQisFUOYdTou\nlaYqLv2V3/NSadQyr2dk8Z8X5Xfz35UvT78c4RkT0pmAo30I6S7KZXNdVVzn040FyuetUmMspFJW\niOVGCKumSUKhGx+kGhOkGqEzjOHANg5+6EYK5RZy+NoNX0NqOIU9U3uQK+RiuyYh7YajfQhpE2Hl\nSkF0VSZrMKnitUQQH4sIjLgJoqkqoNCkE4s72AL0JcoLIxcAALWVGuaL87Fek5BuggEXITHRKXKl\nYrFxyDQA5Ty6lsRCkUVgREVQrVhQnVgYdEHgrqVdm/+vLlVjvy4h3QIDLkJiwjTQMSFKY59X5sp5\n3tdeAwYHG4+JPRbi1OtEaFXWKgiqIDDzegaHP3146+uRTKuXRUjHQA0XITERl1zJzpS5g7dsFjh+\n3D9W0WmzslngypXG827bBrzxjcClS/FoxzaJW5RGuoLNsUZyCbt+tAuHP3kYB75qWTlSw0V6EWq4\nCGkDcZXoVJkyAFheVpco3dmwW29VV/GA5vOurQFXXRWPdqxhQZ1QWyUtZ7N0KWr4/tPfx23fvQ0Q\nQCafYbBF+h5muAiJCVVmang4eAVNlymzcXYRqq45OGhlrl5/3frazowdPNiihsGWtD8SQkj7YYaL\nkDYQl1zJLyPm1GipsmGrq1vBFmCVEb3OG3vDIOcBEUJIEwy4CImROOwdVI19TpwBkkkMYwv3W9Yw\nSCsIQghpggEXIS3CtPPQzpRls8373AGSaQyztJR8w6D9/AqLJawIWkEQQogTBlyEtICgOvJCAbh4\nEZie9g6Q/LJhNnZgZpqBC2pL4Xx+/xEFHJZTWBJ5SNAKghBCAIrmCWkJQXXkQVwV7GNV57eZnjaP\nd8KI/6mTJ4T0IxTNE9JhBNGRh8mGLSxYwU0chDFwpU6eEEK8YcBFSAvYscN8e1jH+lLJKj2qCOJ2\n7xc8qcqN1MkTQog3DLgI8SDKiJ2w6AKexUXvdRQKev8uXSZN9dy8gidd9k1ntkqdPCGEWDDgIkRD\nnIbply6Zb/fKCvmtQ1dWdJ/T67l52Ufosm9PPMGRiYQQ4gVF84RoiFMIHuRculmKYR+rErz7rUcn\n2o9rXiQhhPQCFM0TEgNxCsGDmI66/bKCrM/Ua8vvuensI6jVIoSQcDDgIkSDLohIpYKXFYOajjoD\nHtMyoeqxOq+tsIFTy9zqCSGkx2DARYgGnanoxkY4LVfYsT9JBDlBz2kL7A8eBIaGLBd8arUIIcQc\nBlyEaLCzUul08z4Tm4a41xGnID3IOd0C++VlayD2qVPh50USQki/QdE86WtMHN37XShOF3lCCFFD\n0TwhBpjaPvS7UJwu8oQQEh0GXKRvMXV07xSheFQT1rCP7/eAkxBC4oABF+k77MBDN+xZlbkZGtr6\nfzbrrXeKw5nefZ6jR6OZsEYxce2UgJMQQroZBlykr3AGHjqcmRv7+OXlrW1Xrvif2w5q7rkH2Lkz\nWACmOs/DD4ebr2gTdj4jkIxonxBC+g2K5klf4ZXZAppd2YMIxv3ObZPNAseP6wMW0/MAVgB06hSF\n/4QQ0g4omidEg5fQW5W58RokHeTcTpaXvct5QcToO3bEJ/w/ehQYGLCCsFQKuPrq1g7tJoSQXoYB\nF+krdIGHnbFyZ4Z0xwthHtSocJbz3HqtHTv013TzP/9nPML/o0eBhx6yTF0BK3h77bXoQ7sJIYRY\nMOAifUVQAXippA50pDQLarxYWlLrtV59FRgcbF7jkSNWOdKJrhzozpL56bCmprzX2kqjV0II6UUY\ncJG+IsxMQ53M0S+oyWabAycnIyNqMfvamlXOc6/xxAngqqvMnqcq2+Y1WsjObHnhfr5xdWQSQkg/\nwICL9B1egYcqiAgyPNp57osXgZMnm7NSwFZWTafXunRJvUYTfVcYywbV+CI3qu7NsDYVhPjy3FPA\ng5PAZ+6wPj/3VLtXREgkGHARUkcXRNx6a7hBz6mUlcE6fhyYnlZn1YKaiuq2p9PRLBsmJ733u59v\nFJsJQnx57ing8YeAy68AkNbnxx9i0EW6GgZchNTRBRFPPBF+0LMdtAHqjFUYTZnq+MceU2fsTDlx\nAvjIR7YyXUJY5Uvd8+W4H5Iop8vAWrVx21rV2k5Il0IfLkLqqMTxNqY/JmEGPTsHaNsdipcu6T21\nTAZuJw0HWpNE+cwdAFQ/dAL4zNdbvRpCtNCHi5AQ6HRMJvommzCZH1v3deqU5WK/vOytiyoUrCBr\nZMQ6b7HYeu0Ux/2QRNm+M9h2QroABlyE1NF16m1smHfhRRn0bKqL6gTBOsf9kETZXwC2ZRq3bctY\n2wnpUhhwEVJH140ImAc1YTI/QYdpd4pg3avbk5BIvO3dwPs/Amy/BoCwPr//I9Z2QroUargIqWNn\njtzBjBMTjZKJxso+ZnHRyhD5/Rjm81vn4VxEQgjpDIJouAaSXgwh3YIdFNmBkAqTLrxCwTvb4w7s\nTP7mcXY7joyo1xdktBAhhJDWwpIiIQ7sMlkQs9OgqEqCJthlw64UrNPEkhDS5zDgIkRBUkFNuazP\nnpmwtNSFgnWaWBJCCAMuQlQkEdTYpUQ/hofV44CArQxbVwnWaWJJYqRcqWB0dhapmRmMzs6iXKm0\ne0mEGMGAixAN7qAGiDas2auUaJuu2oHd8ePeGbY4Bke3bPj05YvBthOioVypYPLsWSxWq5AAFqtV\nTJ49y6CLdAUMuEhfYAcXQgADA9ZnryDDHYwcPRrd+8pLcH/qlHVeO1vllWGLw4fr6FHg4MHGc9xz\nD7BzZwIBGE0sO5ZWZIvivEZxfh4rrlbclVoNxfn5qMskJHFoC0F6Hi+7h+Hh5lKh6niddUOQUTZx\njcOJep5y2Qq2/H70VfcmFLaGy1lW3Jahr1KbsbNFzgBmOJXC1J49KORyHXmN1MyMbuAPahMToddJ\nSFg42ocQB16lPJVhqOp4XXCiy1qpynVxCfGjDo4uFs2sKGIzU6WJZUfSimyR7hrHXngh1PlGMplA\n2wnpJBhwkZ7HLxBx7zcNXAC1TYSu5AfEI8SPMj4ICPb8ghzrydveDXxsyho8/LEpBlsdwFK1Gmh7\nnNdYXl8PVVosjY1hONX4tjWcSqE0NhZqfYS0EgZcpOfxC0Tc+3XH28J2G112ymv0ThzdhVEzZUG8\nxHbsMD+WdBetyBZ5nStMJq2Qy2Fqzx7kMxkIAPlMJtYSKCFJwoCL9DyqAMVGFajoApojR8yyU1FL\nfn5EtawolYDBwXjWQrqXKNkiUyG817nCZtIKuRwWxsdRm5jAwvh4rHoz2k2QJGHARXoeZ4ACAOm0\n9VkXqKiOX1kBnnjCClb8slNRS342XrYNUTJlhQJw9dVmx166ZH5e0l2EzRYFsWYo5HLI2j9wLlqt\nu/IKqGg3QVoBAy7SF9gBipTA+nqjBYPueDvTtbFhbTO1X4hDHB+H9YN9HlXQZhpIcT4jcVKuVHBo\nbi6Q2P747t2hMmlxZpz8AiqtuP/cudDXJMQNAy5CNHhpsbyIw6U+7LWdeAVtJoFUx89nJJEImtWx\nj9/QnE9XIgyTSVOt7e65Oex8+ulQgZcuoDo0N4dypaIX929sMMtFYoM+XIRoSKXU9glCWKW8Tr+2\nl19XqdTsNbZtG/DGN1rZr5ER65iOHhlEAlGuVFCcn8dStYqRTAavbWxgeX296bh8JoOF8fGm7aOz\ns1j00F3pHmdfd7FaRRrARv3Y0tiYNujyulYYHy+df5d9viEhsLyhDiV1z4sQgD5chMSCLgvk7Nxz\nlux27ozm1O48V0rzk2mvyWQsj5d4X5WFe/RR4OLFLpnPSAKhyhipgi0gnF2ErkTovC6AzeyYXzbN\n61phvMK89GIrtVpzC7LhWggJAgMuQjTouvlefdUKcNwlu+Vl6yOM5sp9LtUf23aJz1Tf5Sfe76oB\n2CQSqpKajjB2EUOagMXrul6Bk5+gPmgQpOrIdHJpfR3ZgQHlPgmwa5HEAgMu0lcEGdis6+ZbW7O0\nVF4O9kAwzZXuXOl0sw7MVN8Vl7M96X5MAxQvMbtX0LK8saHMWPldV7ffL0AK2uFo68jU/ZLW+Y7f\neKP2muxaJHHAgIv0DUE7/8plK2OlYmnJzFfL1HtLd1yt1pyBMvX5ikO8T1pPEn5QugAlm04bi9md\n4ncVqoyVX2Ck229fS5V1CussX8jl8NjevdqOyTDPj5AgUDRP+oadO9UBlGros9fAa/sxgFqU7ndu\nFUEGUsc1BJt0Hrphz4euvRZPLC9vCt69BOdBzpv0EGnVdU2vH0Zs736s6n557Qv6/AihaJ4QF37Z\nKjde5UK7LOflYO88zgTVuYSwAitn6bNctoTtYa8VpKRKWo/OvuDh8+cjmXLGPRLHVOflzho533CG\nPEqGKrG9MxPlhZ/dhdOpvjQ2huL8fFM2kUOySRIw4CI9izO4+K3f0h/nFpeXy96ZK7ss5y7ZZbPW\nR5jyndvdXogtWwi79Hn0KHDPPcDrrzc//tAh/2vFZaba95TLVrpUCOtj587YbqJO0+TOtjjLW7oS\npHs7gNhG4gQZC2QHONN79+IXHI9ZXl/XBo66wNOkpGf6WK/AjEOySRKwpEh6knLZCk7W1vyPnZ7e\nClZMSolJl+10JcN0Wt29CJiti6XIGNC9sAYHgZMnIwvk/LyunAgAp/bu1ZYgH3v55dhKiCpMSnNO\ndM8tOzCAq9LphvMcnJvT+mZN793reR3TcqBuPbbvVtDnR/qTICVFBlykJ9Hptdxks40lOl1QAlhl\nu1aIznWmp16YGKK208i1Z/B6gcQQuao0TwLNGS4Am2U60wDNfky7TDy9zEedDKdSGEqltD5hAsCR\n667Did27lfv9Aim/9VCnRYJADRfpe0yCLQA4frzxa6+uQl2w5dZFHT0aTSel88/SzAD2fIzJMZyX\nGACvF4hpS6oHKq3Vkeuu05a3gvpRtcvEs1ypGL/ZrNRqgJRaiwYJ4OHz57UaNtNyIHVapNUw4CJ9\nSzbbHEDpgo98Xh9suXVRDz0UTSel88+anLTG77gZHDQTzNOXKwa8otOYIlenqHthfBwndu/WCt6D\nBgftCCb8ZjCqWN7YwKFrr9Xul4BWz2XaIECdFmk1DLhIT5LNeu8fHm7ObgHBgxI/81PAzADVmSUr\nFi0RvNs/68QJa/yO87lls+bSIfpyxUCpFC3qDYk7CLODBz+DUCdJBhNe3mE6t/k0LB8wHY+9/LLn\nfq9Squ5+Odd6cG4OQ6kUsul0LJ2bhPhBDRfpScpl4N57gdXV5n328GZdoFEuW0HP0pL/EGdTvZWX\nTkol1G+VXoyEoFwGjh3bqltns1b03qZvltOvSoef7inq9b08vry0UirRv5PswIBWy5UGsB5QaxW3\nHxkhFM0TgmCBU1i8NNROvPTUXl2Jjz3WvOZWPC/SfXiZjALJCea9OivzmQxeW1/HsqK91tkNePfc\nnPLxuoYBGxkw4DIV1BNiCkXzhKA1w5n9zE8BK7vlVW3Saa03Npr1XyrN2L33Wl2ZNDPtHcKM97G1\nSzqSEsx7nXexWsXPajW4i7DO8mYhl9OO0xnJZLT7dNvDrLVdzQSkv2DARUgEVIalToQAjhzxDva8\ntNZu/ZdKM7a6alW3aGbaG/g5pXvhF7wEXcfOZ56BmJmBmJnBzqefVq7B77yrUuKNAwOeInadFu21\n9XXcms2GFre7A9cditmMJs+BkDhgwEX6iiRG29iZNCmBU6caRemnTllidy/8smSLi1vrNSlfmoj0\nSecSxWUdiKf7rlyp4N7nn2/QTy1vbOCeubmmoMtEuH9pfd3T5V43rHp5YwOPvfwyDl17beCxRKrA\n9dX1dQy6/ipiZyJpFdRwkb6hk8Xp5bLVmahzkrdxjvzxO45mpt1JHIacUV3S/XRZbr2Tn3DfVCMV\np8ZK62yfTuOqgQE6yJNYCKLhUudXCekxdAGNnQ1qd8BlX99rrBBgBVsmQRfNTLuXkUxGGSiMZDLK\nQAqAMriKEkR4aZpU++zr6boATTNIcWqsdI+5tLGBi+96V+DzERIVlhRJz2NntnTZI6do3S45CgEM\nDFifWyVEd/tk6ZCycWC22xaKZqbdja4keGs221Qiu/f553HP3FwovZcXXpomr32mpqNBzx1GY0Un\nedJpMOAiPY+fOamdDXJ2AAJbAVorhejOzkpbiO/Gtpio1aw5kI8+SjPTXkIXtDyxvNyk7VqVEu75\n7G69V5iOx9LYWJPWCQC21ff5rd+t1zJdQ5zu73SSJ50GNVyk5/EyJ3VquPxE6THMJg5EJ2vOSOsx\nHf4MbOm9ohh9lisVHHvhhU3hfDadxvHduwOXKoOuwUR/ZqpR8zqujDKKKGIJSxjBCEoooQD+YJFg\n0PiUEAemxqJ+rvHtEKLT5JTYeAnZ3dgi81YafeqCm7jXEIdbfBllTGISK9j6a0rQe44AAA1kSURB\nVGYYw5jCFIMuEgganxLiQDcf0e3i7ic0b4cQvRXmraQ7UJXIBoXwNBVtldGnl3dY3Gs4du5cJNsM\nACii2BBsAcAKVlAE/VRIcjDgIj2P6dBmLz8sCtFJu1Fpu07edBMe3btXK1JvlXDcyzvMaw3lSgU7\nn356y1z1mWc8NWblSkU5JggIFsAtQT3eQbedkDhgSZEQB3YJb3HRKjlubPgPuyakU2nVsOagA6qH\nUykcuvZaPHL+fJPof1AInLzpJuX6gvqD6RjFKBbRrDPII48FLBidgxCAJUVCQuN0jV9ftz6zlEe6\nlSg2DUG6G72yWF5dl+5gC7A6L3XlQa8sVpDuwxJKGEZjOltAYBGLGMUoyuBsLBI/ND4lhJAuIYyD\nfBgTVHdmzNZk2edzUxob8zQ8Va3h7rk57fV1gZXOFDY7MBDoOdrC+CKKWMQiBARkPUe3iEVMYrLh\nOELigBkuQgjpAqIMtQ7KsRde8BWmOzNgxfn5wPMO0x7X12XMdN5ax2+80fc5uSmggAUsII/8ZrBl\nQwE9SQJmuAghpAvwEqbHqccqVyoNQ6ud2JknVQbssZdfDqQN8xobqisP2ueOMifSDQX0pFUw4CKE\nkC6gVRYPXvYKduYpjuAvrysPptOe54g6J9LNCEaUAvoRcCApiReWFAkhpAtohcVDuVLxNFeN099L\nWx7cvdv4HHGgEtAPYxgl0AeGxAsDLkII6QKSng1olwl1ODNPcQR/UQddx0UBBUxhCnnkISCQR56O\n8yQR6MNFCCFdQpguRVO8PK7c3l2t8vcipNMJ4sNFDRchhHQJcemXVIGbVznQHUglIV4npNdhSZEQ\nQnqdctma4p5KoXznnZj84Q8b7CUOzs1hWAjlQ/N181I3hVwOC+PjqE1MbDq8mxqlEtKPMMNFCCG9\nTLkMTE4CK9aw5uIHPoAVlxZMAnhdSgwKgVWHzMRUIxbUKJWQfoQZLkII6WWKxc1gCwCWdu3SHnp1\nKhVKxK6ziTh27lzoZRPSazDDRQghvcxSo4HnyIULWLz2WuWhlzY2cPFd7wp+CY3+a3ljA+VKpa1Z\nrkqljPn5IqrVJWQyIxgbs+we3NtyOXYlkmRhhosQQnqZkUYDz9Ijj0C4slGbh4b09PJ6nJeRatJU\nKmWcPTuJanURgES1uogfzt2D5+buadh29uwkKhUOrCbJwoCLEEJ6mVIJGN4y9iycPo0j3/42hMsS\nKIqnl9fj4nbCD8L8fBG12krDthTWsA1rDdtqtRXMz3N2IkkWBlyEENLLFArA1BSQzwNCAPk8TvzK\nr+DUW94Sm+loIZdDdkCtUInTCT8o1ar5PMQgxxISBmq4CCGk1ykUrA/nJsTbQXj8xhuVZqhxOeGH\nIZMZqZcOzY4lJEmY4SKEEBKZThnV42RsrIRUqnFO4irSWHXlGqrIbIrpCUkKZrgIIYTEQlxO+FFx\ndiam0zswMDCE9fVLWB94M768/ttYhcRhPIJduIBXsAvbrvt9dimSxGHARQghpCswmSVpdybaYvmN\njWWkUsPYu/cUcrkCKvVz/PPqgc1z/GYHBImk9+HwakIIIR2P6cDs2dlRpW4rk8ljfHyhFUslfUSQ\n4dXUcBFCCOl4dG72bp8vXbchuxBJu2HARQghpOPR+Xm5t+u6DdmFSNoNAy5CCCEdj87Py71d1ZmY\nSg2zC5G0HQZchBBC2kK5UsHOZ56BmJmBmJnBzqefRrlSUR5bGhvDcKrxLUvl85XLFbBnzxQymTwA\ngUwmjz17ptiFSNoOAy5CCOllymVgdBRIpazP5c6YGViuVHDv889jeX19c9vyxgbunpvDzmeeaQq8\ngvh85XIFjI8vYGKihvHxBQZbpCOgLQQhhPQq5TIwOQms1OcJLi5aXwNNzvOtpjg/j1VNl/zy+jom\nz54F0OiG3yk+X4SEIVKGSwjxRSHE80KI54QQ3xBCvMmx71NCiBeFEGeFEO+NvlRCCCGBKBa3gi2b\nlRVre5vxG2qt6kAkpJuJWlL8MwBvlVK+DcA5AJ8CACHEWwDcCeCXALwPwAkhRDritQghhARhSWOF\noNveQkyGWvsFZYR0E5ECLinln0op7QL8XwK4vv7/2wF8TUpZlVK+BOBFAL8a5VqEEEICMqKxQtBt\nbyGlsTEMCuF5jElQRki3EKdo/l4A36n//80AfuTY9+P6tiaEEJNCiGeFEM++8sorMS6HEEL6nFIJ\nGG60SMDwsLW9zRRyOZy86SZkB9RSYlUHIiHdjG/AJYR4UgjxA8XH7Y5jigDWAQRuf5FSTkkp90kp\n911zzTVBH04IIURHoQBMTQH5PCCE9Xlqqu2CeZtCLoeL73wn5MQEpvfuNepAJKRb8e1SlFIe8Nov\nhPhtAP8IwH65NZjxJwB+0XHY9fVthBBCWkmh0DEBlhfsQCS9TtQuxfcBuB/AP5ZSOlthvgXgTiFE\nRghxA4AbAfxVlGsRQgghhHQrUX24/j2ADIA/E5b48S+llEeklD8UQvwxgL+FVWr8HSnlRsRrEUII\nIYR0JZECLinl/+qxrwSg/cpMQgghhJA2w9E+hBBCCCEJw4CLEEIIISRhGHARQgghhCQMAy5CCCGE\nkIRhwEUIIYQQkjAMuAghhBBCEoYBFyGEEEJIwjDgIoQQQghJGAZchBBCCCEJw4CLEEIIISRhGHAR\nQgghhCQMAy5CCCGEkIRhwEUIIYQQkjAMuAghhBBCEoYBFyGEEEJIwjDgIoQQQghJGAZchBBCCCEJ\nw4CLEEIIISRhGHARQgghhCQMAy5CCCGEkIQRUsp2r2ETIcQrABbbuISdAC628fqdQL/fg35//gDv\nAcB7APAeALwH/f78Af97kJdSXmNyoo4KuNqNEOJZKeW+dq+jnfT7Pej35w/wHgC8BwDvAcB70O/P\nH4j3HrCkSAghhBCSMAy4CCGEEEIShgFXI1PtXkAH0O/3oN+fP8B7APAeALwHAO9Bvz9/IMZ7QA0X\nIYQQQkjCMMNFCCGEEJIwfR9wCSG+KIR4XgjxnBDiG0KINzn2fUoI8aIQ4qwQ4r3tXGeSCCH+mRDi\nh0KImhBin2P7qBDiihDif9Q/Hm7nOpNEdw/q+/rideBECPEZIcRPHN/7W9u9plYghHhf/fv8ohDi\nk+1eTzsQQiwIIc7Uv+/Ptns9rUAIcVIIcUEI8QPHth1CiD8TQrxQ//y/tHONSaO5B331e0AI8YtC\niP8qhPjb+vvBsfr2WF4LfR9wAfgzAG+VUr4NwDkAnwIAIcRbANwJ4JcAvA/ACSFEum2rTJYfALgD\nwH9T7Ps7KeUv1z+OtHhdrUR5D/rsdeDmQcf3/ol2LyZp6t/X/xfALQDeAuCu+ve/H/k/6t/3frEE\n+CNYP99OPgngtJTyRgCn61/3Mn+E5nsA9NfvgXUA/0JK+RYA/zuA36n/DojltdD3AZeU8k+llOv1\nL/8SwPX1/98O4GtSyqqU8iUALwL41XasMWmklHNSyrPtXkc78bgHffM6IPhVAC9KKeellKsAvgbr\n+096HCnlfwNwybX5dgCP1f//GIAPtHRRLUZzD/oKKeVPpZR/U///zwDMAXgzYnot9H3A5eJeAN+p\n///NAH7k2Pfj+rZ+44Z6KvkpIcS72r2YNtDPr4PfrZfaT/Z6OaVOP3+vnUgATwoh/loIMdnuxbSR\nnJTyp/X/vwwg187FtJF++z0AwJLUAPiHAL6HmF4LA7GsrMMRQjwJ4FrFrqKU8k/qxxRhpRPLrVxb\nqzC5Bwp+CmBESrkshHgHgG8KIX5JSvlqYgtNkJD3oGfxuh8AHgLwr2G9+f5rAP8W1h8kpPd5p5Ty\nJ0KIXQD+TAjxfD370bdIKaUQoh9b+vvy94AQ4ioA/wnAfVLKV4UQm/uivBb6IuCSUh7w2i+E+G0A\n/wjAfrnlk/ETAL/oOOz6+rauxO8eaB5TBVCt//+vhRB/B2A3gK4U0oa5B+ix14ET0/shhPgKgP8v\n4eV0Aj37vQ6ClPIn9c8XhBDfgFVq7ceAqyKE+AdSyp8KIf4BgAvtXlCrkVJW7P/3y+8BIcQ2WMFW\nWUr59frmWF4LfV9SFEK8D8D9AP6xlHLFsetbAO4UQmSEEDcAuBHAX7Vjje1CCHGNLRAXQozBugfz\n7V1Vy+nL10H9l4rNB2E1FfQ6/x3AjUKIG4QQg7CaJb7V5jW1FCHEG4QQV9v/B/B/oj++9yq+BeBQ\n/f+HAPRjFryvfg8IK5X1hwDmpJT/zrErltdC3xufCiFeBJABsFzf9Jd2N169zHgvrFLjfVLK76jP\n0t0IIT4I4A8AXAPg7wH8Dynle4UQ/wTAvwKwBqAG4AEp5ePtW2ly6O5BfV9fvA6cCCFOAfhlWKWE\nBQD/l0PD0LPU296/DCAN4KSUstTmJbWU+h9W36h/OQDgP/bDPRBCfBXABICdACoAHgDwTQB/DGAE\nwCKA35BS9qyoXHMPJtBHvweEEO8E8DSAM7De8wDg07B0XJFfC30fcBFCCCGEJE3flxQJIYQQQpKG\nARchhBBCSMIw4CKEEEIISRgGXIQQQgghCcOAixBCCCEkYRhwEUIIIYQkDAMuQgghhJCEYcBFCCGE\nEJIw/z9ICX4F7LJYpgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f8e941bc4a8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "colors = np.array([x for x in 'b-g-r-c-m-y-k-purple-coral-lime'.split('-')])\n",
+    "colors_map = colors_map[:1000]\n",
+    "plt.figure(figsize=(10,10))\n",
+    "for cl in range(nb_classes):\n",
+    "    indices = np.where(colors_map==cl)\n",
+    "    plt.scatter(X_tsne[indices,0], X_tsne[indices, 1], c=colors[cl], label=cl)\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Using Bokeh (Interactive Chart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div class=\"bk-root\">\n",
+       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
+       "        <span id=\"0af86eff-6a55-4644-ab84-9a6f5fcbeb3e\">Loading BokehJS ...</span>\n",
+       "    </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "(function(global) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "\n",
+       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
+       "    window._bokeh_onload_callbacks = [];\n",
+       "    window._bokeh_is_loading = undefined;\n",
+       "  }\n",
+       "\n",
+       "\n",
+       "  \n",
+       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
+       "    window._bokeh_timeout = Date.now() + 5000;\n",
+       "    window._bokeh_failed_load = false;\n",
+       "  }\n",
+       "\n",
+       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
+       "     \"<div style='background-color: #fdd'>\\n\"+\n",
+       "     \"<p>\\n\"+\n",
+       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
+       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
+       "     \"</p>\\n\"+\n",
+       "     \"<ul>\\n\"+\n",
+       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
+       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
+       "     \"</ul>\\n\"+\n",
+       "     \"<code>\\n\"+\n",
+       "     \"from bokeh.resources import INLINE\\n\"+\n",
+       "     \"output_notebook(resources=INLINE)\\n\"+\n",
+       "     \"</code>\\n\"+\n",
+       "     \"</div>\"}};\n",
+       "\n",
+       "  function display_loaded() {\n",
+       "    if (window.Bokeh !== undefined) {\n",
+       "      var el = document.getElementById(\"0af86eff-6a55-4644-ab84-9a6f5fcbeb3e\");\n",
+       "      el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
+       "    } else if (Date.now() < window._bokeh_timeout) {\n",
+       "      setTimeout(display_loaded, 100)\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  function run_callbacks() {\n",
+       "    window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
+       "    delete window._bokeh_onload_callbacks\n",
+       "    console.info(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
+       "  function load_libs(js_urls, callback) {\n",
+       "    window._bokeh_onload_callbacks.push(callback);\n",
+       "    if (window._bokeh_is_loading > 0) {\n",
+       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (js_urls == null || js_urls.length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    window._bokeh_is_loading = js_urls.length;\n",
+       "    for (var i = 0; i < js_urls.length; i++) {\n",
+       "      var url = js_urls[i];\n",
+       "      var s = document.createElement('script');\n",
+       "      s.src = url;\n",
+       "      s.async = false;\n",
+       "      s.onreadystatechange = s.onload = function() {\n",
+       "        window._bokeh_is_loading--;\n",
+       "        if (window._bokeh_is_loading === 0) {\n",
+       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
+       "          run_callbacks()\n",
+       "        }\n",
+       "      };\n",
+       "      s.onerror = function() {\n",
+       "        console.warn(\"failed to load library \" + url);\n",
+       "      };\n",
+       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "    }\n",
+       "  };var element = document.getElementById(\"0af86eff-6a55-4644-ab84-9a6f5fcbeb3e\");\n",
+       "  if (element == null) {\n",
+       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '0af86eff-6a55-4644-ab84-9a6f5fcbeb3e' but no matching script tag was found. \")\n",
+       "    return false;\n",
+       "  }\n",
+       "\n",
+       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.5.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.5.min.js\"];\n",
+       "\n",
+       "  var inline_js = [\n",
+       "    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      \n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      \n",
+       "      document.getElementById(\"0af86eff-6a55-4644-ab84-9a6f5fcbeb3e\").textContent = \"BokehJS is loading...\";\n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.5.min.css\");\n",
+       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.5.min.css\");\n",
+       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.5.min.css\");\n",
+       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.5.min.css\");\n",
+       "    }\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    \n",
+       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "        inline_js[i](window.Bokeh);\n",
+       "      }if (force === true) {\n",
+       "        display_loaded();\n",
+       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!window._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      window._bokeh_failed_load = true;\n",
+       "    } else if (force !== true) {\n",
+       "      var cell = $(document.getElementById(\"0af86eff-6a55-4644-ab84-9a6f5fcbeb3e\")).parents('.cell').data().cell;\n",
+       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
+       "    }\n",
+       "\n",
+       "  }\n",
+       "\n",
+       "  if (window._bokeh_is_loading === 0) {\n",
+       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+       "    run_inline_js();\n",
+       "  } else {\n",
+       "    load_libs(js_urls, function() {\n",
+       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "      run_inline_js();\n",
+       "    });\n",
+       "  }\n",
+       "}(this));"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from bokeh.plotting import figure, output_notebook, show\n",
     "\n",
-    "tsne = TSNE(n_components=2)\n",
-    "X_tsne = tsne.fit_transform(hidden_features) "
+    "output_notebook()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "\n",
+       "    <div class=\"bk-root\">\n",
+       "        <div class=\"bk-plotdiv\" id=\"e90df1a2-e577-49fb-89bb-6e083232c9ec\"></div>\n",
+       "    </div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  \n",
+       "  (function(global) {\n",
+       "    function now() {\n",
+       "      return new Date();\n",
+       "    }\n",
+       "  \n",
+       "    var force = false;\n",
+       "  \n",
+       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
+       "      window._bokeh_onload_callbacks = [];\n",
+       "      window._bokeh_is_loading = undefined;\n",
+       "    }\n",
+       "  \n",
+       "  \n",
+       "    \n",
+       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
+       "      window._bokeh_timeout = Date.now() + 0;\n",
+       "      window._bokeh_failed_load = false;\n",
+       "    }\n",
+       "  \n",
+       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
+       "       \"<div style='background-color: #fdd'>\\n\"+\n",
+       "       \"<p>\\n\"+\n",
+       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
+       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
+       "       \"</p>\\n\"+\n",
+       "       \"<ul>\\n\"+\n",
+       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
+       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
+       "       \"</ul>\\n\"+\n",
+       "       \"<code>\\n\"+\n",
+       "       \"from bokeh.resources import INLINE\\n\"+\n",
+       "       \"output_notebook(resources=INLINE)\\n\"+\n",
+       "       \"</code>\\n\"+\n",
+       "       \"</div>\"}};\n",
+       "  \n",
+       "    function display_loaded() {\n",
+       "      if (window.Bokeh !== undefined) {\n",
+       "        var el = document.getElementById(\"e90df1a2-e577-49fb-89bb-6e083232c9ec\");\n",
+       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
+       "      } else if (Date.now() < window._bokeh_timeout) {\n",
+       "        setTimeout(display_loaded, 100)\n",
+       "      }\n",
+       "    }\n",
+       "  \n",
+       "    function run_callbacks() {\n",
+       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
+       "      delete window._bokeh_onload_callbacks\n",
+       "      console.info(\"Bokeh: all callbacks have finished\");\n",
+       "    }\n",
+       "  \n",
+       "    function load_libs(js_urls, callback) {\n",
+       "      window._bokeh_onload_callbacks.push(callback);\n",
+       "      if (window._bokeh_is_loading > 0) {\n",
+       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "        return null;\n",
+       "      }\n",
+       "      if (js_urls == null || js_urls.length === 0) {\n",
+       "        run_callbacks();\n",
+       "        return null;\n",
+       "      }\n",
+       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "      window._bokeh_is_loading = js_urls.length;\n",
+       "      for (var i = 0; i < js_urls.length; i++) {\n",
+       "        var url = js_urls[i];\n",
+       "        var s = document.createElement('script');\n",
+       "        s.src = url;\n",
+       "        s.async = false;\n",
+       "        s.onreadystatechange = s.onload = function() {\n",
+       "          window._bokeh_is_loading--;\n",
+       "          if (window._bokeh_is_loading === 0) {\n",
+       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
+       "            run_callbacks()\n",
+       "          }\n",
+       "        };\n",
+       "        s.onerror = function() {\n",
+       "          console.warn(\"failed to load library \" + url);\n",
+       "        };\n",
+       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "      }\n",
+       "    };var element = document.getElementById(\"e90df1a2-e577-49fb-89bb-6e083232c9ec\");\n",
+       "    if (element == null) {\n",
+       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'e90df1a2-e577-49fb-89bb-6e083232c9ec' but no matching script tag was found. \")\n",
+       "      return false;\n",
+       "    }\n",
+       "  \n",
+       "    var js_urls = [];\n",
+       "  \n",
+       "    var inline_js = [\n",
+       "      function(Bokeh) {\n",
+       "        (function() {\n",
+       "          var fn = function() {\n",
+       "            var docs_json = {\"0a107901-21f4-414c-8b60-0314827c77c9\":{\"roots\":{\"references\":[{\"attributes\":{\"data_source\":{\"id\":\"96dd01f3-cc06-44ef-b6bb-1eb06c543e23\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"ad8b2453-bb3f-4c0e-9cd6-8cb23e16801f\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"661a558d-6ef7-4be4-be81-dea7a71a8c70\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"2afe8a3b-fde7-4e6e-8ec4-2688be847a5c\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"ba216e52-be76-4db2-8352-ebe09293b50b\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"fb675052-09f3-4302-aab8-cf62d3f45bc5\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"458559a1-f0e8-49c5-9590-81bb5589fef2\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"999d8d98-c897-40de-b76a-dbc9d54a64d2\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"hIV9LF5GK0ArOtgnvT4bQKZ8AhpjZMC/KJuMZcrTKUCcHMPQgtEhQNGYU/vRtSpA7XTJLSlY8j/uSSpWxXYZQAQFOd3E2fE/oo8uaG7hKEBkD+pCg0AcQNwcMgKwgStACo/Y3hjFJUDYpuRbz/UsQLX2ygH8tSZA4SDXBVGJJkAt5PcIyRcpQDlfUGTlChtAC6BE+xT6EkArElL1JDYoQOPGRFM9fCJASGAMXLpFJkCP3048n8sHQFaWxm2DIitAt7O6NT/2IUDdG/3wA78sQPv8f/SSehdAqlKokA1wB0Bt70RX7XcpQAdcI+cZ2uM/Qf22fe+3CEA5jlaiswEKQOy6G6y/yydAxoUh1dAeJECBNZRzCZgpQGKZM7BGvxRAKsKcteLHKECL+9J7rhERQOWVb8NfliZAdY23iCFjJUD4DnOUxIklQEIKVR8b/w1AqhSxQl53BEBVHRGAq8chQJU7//gwnxhA0IbatgTkI0ADN81c/sAmQDy9XUwiaBNAdO0YMNwoKUCz+d7qHOAhQDDX5HEuZyZAWgAfqa1cFEC4GrENLkkLQFaabzQhGRRAmLOToOO9G0AMVcDU5VAoQCzAIEFCcRlA+h98K4ZlKkD4ie2GilPoP/TS44ZuTyZAtSRwskmtJUC1dPOXiEMeQK6xW04TuSZAc1xycQQXCkDaZ//BH6AoQNuTyp0sPC5AlgaooyRVKED4hOvniWUSQKp4mm1KgSdALmuIH7s1HEDotfUPHbwmQFp/BTs/ny1AsLg82VlmJ0B+te6RcignQC3yH8BlqipA9LnQbJ8BJkDzDp8av9gqQDWPBBuNJSRAC3NdwC+IEkD22CG85J8ZQLizA/EplSZAsvlHZD1vIkCVXmRCcksEQA==\",\"dtype\":\"float64\",\"shape\":[83]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[83]}}},\"id\":\"96dd01f3-cc06-44ef-b6bb-1eb06c543e23\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"XMQzwjPC9D+RNenDYjP9PzZ7NeszsghA8Mb1eiZc8L8u3OV8C94PwK5hr4Mg/AJAqmAnHh/o7b8/LB/ljnUIwIx7kOEXBADAGiwuGWGt37/l9EUEM2TaPxD4capJSrq/bA9tD6PqAsAWhCAYBgbcv+vDMOVT4wNA7XcwUkW32r9a0nE1hqEMwLXXMDyh8wPAKqU8g7as3j//JuXc6wTzPzLzKDz+kf6/eF+KB7zwB0C4E+C6rr7wP2W9dufAJem/xlOWDkJy7b90UWIPqg0TQG8UB18u9AnAhpWj7V5L/L9WebE115sEwLhzdtVznty/oRTjm3zN+T/hWJ1083sBQEAcpDbnnv8/1Cl05wUSB8BqqBrr8d4HwPNyJntl6/a/iQhvkMqH8L/V5qZJ51X4vx/NtL3I9QbA2Kg7rDrS+D8EXmZ8YJz+vwQI/0UmSw3A1d9ExUVXEcBLQOxKdR4FwAZI35kxE/C/0l0LhGWID0DSMyy9YTYQQPjOBDS3Lts/o+VtMz7oEEBY8oQOU2zQP5odjJu4DQTAVPn+auo287/n8LQ8lG4HwLqExucbgATA9ZVOjmWaBMCiEzELR/AQQEFUAWfDFQPA3B9XE/H3AsDOM+fcsm0GQOyHolC7+/0/gsJ4gclRDsAHwe/q99D1v9A84KB28uu/GjatGiogB0DqYnA3XsbRPwZ9oPyOBA1A0lYDNHCpAkCEhk9OXfvxv4A5UdFRawNAl2g96ZKoA8Axqb+d9Bb/v1a8B9SL4/c/iU0fLktL9r9JzoYKTcsBQJDF247EaOc/AgvvgJLF0L8DK6UgHEXwPz7g6UUiaAjAMLsvXU2bzz8fqY2D4pEJwHBtVD0J1eC/K6LYHTh+/7+E0uBmKzPzv8RTlIiD4fk/T4q7FuB4/L/gycCd2p7Nv8LWLLbfCPE/feDjNRChBsAY6C/HEM3sP5aOXZEWkARAHLZDYHQlDUBe76+ekH72vw==\",\"dtype\":\"float64\",\"shape\":[92]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[92]}}},\"id\":\"45bbea89-c56c-4eef-b115-72e19981c894\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[116]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[116]}}},\"id\":\"1c51aa9f-10a8-4361-a173-48c7c6942006\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"458559a1-f0e8-49c5-9590-81bb5589fef2\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"96b7e4be-6f1b-4a47-91db-cbd18bed4195\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"8336d1d8-68b3-4cbd-8dc8-7022be931d48\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5b22d030-9f3b-46c8-aa62-4805a15b2170\",\"type\":\"Circle\"},{\"attributes\":{\"label\":{\"value\":\"4\"},\"renderers\":[{\"id\":\"2afe8a3b-fde7-4e6e-8ec4-2688be847a5c\",\"type\":\"GlyphRenderer\"}]},\"id\":\"ed92957f-5152-4fdf-85b9-3cb1d1078b41\",\"type\":\"LegendItem\"},{\"attributes\":{\"data_source\":{\"id\":\"d651deee-ae2a-460d-be1d-b023292a3a4d\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"4b00d740-2b64-4c58-ae14-8b519c061d9e\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"961692d3-5d9d-413b-af3a-7dd95eaa6773\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"3e5fe63d-38a1-4a1a-91c9-e5c9afef99b8\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"0381250d-3021-4a37-971f-67972b73567c\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"\"},\"id\":\"7edee319-08ef-430e-9e40-6c2e68c515aa\",\"type\":\"Title\"},{\"attributes\":{\"label\":{\"value\":\"9\"},\"renderers\":[{\"id\":\"61d151cc-1443-4377-b2a5-71fe0b5ff494\",\"type\":\"GlyphRenderer\"}]},\"id\":\"aa1ebdaf-bc54-4a07-8fc0-79d1f3f9a958\",\"type\":\"LegendItem\"},{\"attributes\":{\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"0eddfe14-cee1-4853-ac32-f0d22dc8699e\",\"type\":\"SaveTool\"},{\"attributes\":{\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"46eb72e4-911b-4f17-afa9-a94d42dfcbef\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"3a9ffd9d-7d1f-4680-849a-dbd2dc4439a9\",\"type\":\"PanTool\"},{\"attributes\":{\"label\":{\"value\":\"7\"},\"renderers\":[{\"id\":\"999d8d98-c897-40de-b76a-dbc9d54a64d2\",\"type\":\"GlyphRenderer\"}]},\"id\":\"d7fe879a-41f4-4326-819d-f45895b79e68\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"e7b884f1-a7b7-4de5-91dc-c27c5c549b60\",\"type\":\"ToolEvents\"},{\"attributes\":{\"label\":{\"value\":\"3\"},\"renderers\":[{\"id\":\"d50622b6-c068-4062-baf9-03dba5688029\",\"type\":\"GlyphRenderer\"}]},\"id\":\"44f269c3-d739-4844-b205-f080761e0f00\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"7b86a82a-b121-4e1f-ae71-be992129c14c\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"45bbea89-c56c-4eef-b115-72e19981c894\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"f331f988-abb4-4bac-baaa-3d326ad1e8af\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"fcf23350-cea8-40c0-9b8d-e664d26c8000\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"58a4965f-f738-4792-aade-401eac316fc5\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[124]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[124]}}},\"id\":\"6833c653-d77b-4f2a-9168-09a35cd7fa4e\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"label\":{\"value\":\"5\"},\"renderers\":[{\"id\":\"3e5fe63d-38a1-4a1a-91c9-e5c9afef99b8\",\"type\":\"GlyphRenderer\"}]},\"id\":\"8806006a-a7e9-431c-b482-e2904b73b49d\",\"type\":\"LegendItem\"},{\"attributes\":{\"data_source\":{\"id\":\"3a298aef-3e85-486c-a822-8d8ba749ea13\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"10285d43-a120-4aa9-9f24-5ac28ffa46c0\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1d84d47f-908a-444d-8a45-ba8c8cf0ba79\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"b2e97d19-5b4d-4d3c-8df5-a5f760eda438\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"6833c653-d77b-4f2a-9168-09a35cd7fa4e\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"39b8e513-f126-410c-b9ce-65c7408372e0\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"8336d1d8-68b3-4cbd-8dc8-7022be931d48\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"4a6ab629-922a-4cca-9d25-6fc2b76893f4\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"284a2067-bcc0-47b3-a4e9-a9011ea1b31f\",\"type\":\"DataRange1d\"},{\"attributes\":{\"label\":{\"value\":\"8\"},\"renderers\":[{\"id\":\"a6fa1671-46ff-4904-a75d-b3e1c7ee8798\",\"type\":\"GlyphRenderer\"}]},\"id\":\"04870eca-e5a2-4689-b1a3-bfe781ef7872\",\"type\":\"LegendItem\"},{\"attributes\":{\"items\":[{\"id\":\"51ea03b1-9398-41c5-8b57-0c12c1caf274\",\"type\":\"LegendItem\"},{\"id\":\"b1689a95-a3fc-4723-b733-838dc50d2bc9\",\"type\":\"LegendItem\"},{\"id\":\"479fa1de-d9b5-4c46-a324-a0dd27bc192e\",\"type\":\"LegendItem\"},{\"id\":\"44f269c3-d739-4844-b205-f080761e0f00\",\"type\":\"LegendItem\"},{\"id\":\"ed92957f-5152-4fdf-85b9-3cb1d1078b41\",\"type\":\"LegendItem\"},{\"id\":\"8806006a-a7e9-431c-b482-e2904b73b49d\",\"type\":\"LegendItem\"},{\"id\":\"c3452e2e-36aa-438e-aae4-7bf7fde7d579\",\"type\":\"LegendItem\"},{\"id\":\"d7fe879a-41f4-4326-819d-f45895b79e68\",\"type\":\"LegendItem\"},{\"id\":\"04870eca-e5a2-4689-b1a3-bfe781ef7872\",\"type\":\"LegendItem\"},{\"id\":\"aa1ebdaf-bc54-4a07-8fc0-79d1f3f9a958\",\"type\":\"LegendItem\"}],\"location\":\"bottom_right\",\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"632de7ab-f72d-4cab-b234-7bba0fabd3e2\",\"type\":\"Legend\"},{\"attributes\":{\"label\":{\"value\":\"6\"},\"renderers\":[{\"id\":\"58a4965f-f738-4792-aade-401eac316fc5\",\"type\":\"GlyphRenderer\"}]},\"id\":\"c3452e2e-36aa-438e-aae4-7bf7fde7d579\",\"type\":\"LegendItem\"},{\"attributes\":{\"data_source\":{\"id\":\"5705cbda-a125-4b95-8dcc-a7a4e409bb0a\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"e34bdd34-2372-42a7-97c4-71acb03b6bca\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"75f57b6c-48b5-4d3c-9b7b-bc20eecabb2e\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"d50622b6-c068-4062-baf9-03dba5688029\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"below\":[{\"id\":\"de561971-5cfb-4f3e-a4a7-a303933ba023\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"aeff42d5-9279-484c-8e33-ad92cff0e64b\",\"type\":\"LinearAxis\"}],\"renderers\":[{\"id\":\"de561971-5cfb-4f3e-a4a7-a303933ba023\",\"type\":\"LinearAxis\"},{\"id\":\"582554cc-769c-4e47-9cf2-1baca126df0e\",\"type\":\"Grid\"},{\"id\":\"aeff42d5-9279-484c-8e33-ad92cff0e64b\",\"type\":\"LinearAxis\"},{\"id\":\"f4204887-e43f-456d-86f5-0e67d500ed05\",\"type\":\"Grid\"},{\"id\":\"3e7713e2-c4e3-4fad-a332-a1102c07fff4\",\"type\":\"BoxAnnotation\"},{\"id\":\"632de7ab-f72d-4cab-b234-7bba0fabd3e2\",\"type\":\"Legend\"},{\"id\":\"c78ed4fd-0dd2-4855-9a0b-a81bc58f6446\",\"type\":\"GlyphRenderer\"},{\"id\":\"4a6ab629-922a-4cca-9d25-6fc2b76893f4\",\"type\":\"GlyphRenderer\"},{\"id\":\"b2e97d19-5b4d-4d3c-8df5-a5f760eda438\",\"type\":\"GlyphRenderer\"},{\"id\":\"d50622b6-c068-4062-baf9-03dba5688029\",\"type\":\"GlyphRenderer\"},{\"id\":\"2afe8a3b-fde7-4e6e-8ec4-2688be847a5c\",\"type\":\"GlyphRenderer\"},{\"id\":\"3e5fe63d-38a1-4a1a-91c9-e5c9afef99b8\",\"type\":\"GlyphRenderer\"},{\"id\":\"58a4965f-f738-4792-aade-401eac316fc5\",\"type\":\"GlyphRenderer\"},{\"id\":\"999d8d98-c897-40de-b76a-dbc9d54a64d2\",\"type\":\"GlyphRenderer\"},{\"id\":\"a6fa1671-46ff-4904-a75d-b3e1c7ee8798\",\"type\":\"GlyphRenderer\"},{\"id\":\"61d151cc-1443-4377-b2a5-71fe0b5ff494\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"7edee319-08ef-430e-9e40-6c2e68c515aa\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"e7b884f1-a7b7-4de5-91dc-c27c5c549b60\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"10a19e19-02a2-475b-8406-3c21d8da5b46\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"284a2067-bcc0-47b3-a4e9-a9011ea1b31f\",\"type\":\"DataRange1d\"},\"y_range\":{\"id\":\"d1d7b111-1dae-4a56-9f57-37a3f77020f7\",\"type\":\"DataRange1d\"}},\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"lime\"},\"line_alpha\":{\"value\":0.4},\"line_color\":{\"value\":\"lime\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e5842c0c-fd8d-44ac-b500-296899dff5aa\",\"type\":\"Circle\"},{\"attributes\":{\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"1bea0b8d-c53e-43a2-a732-f4648495b402\",\"type\":\"HelpTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"coral\"},\"line_alpha\":{\"value\":0.4},\"line_color\":{\"value\":\"coral\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4addc9c8-c892-43c6-b531-a3b8cdb3ea29\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"green\"},\"line_alpha\":{\"value\":0.4},\"line_color\":{\"value\":\"green\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"39b8e513-f126-410c-b9ce-65c7408372e0\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"661a558d-6ef7-4be4-be81-dea7a71a8c70\",\"type\":\"Circle\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"3e7713e2-c4e3-4fad-a332-a1102c07fff4\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"3a9ffd9d-7d1f-4680-849a-dbd2dc4439a9\",\"type\":\"PanTool\"},{\"id\":\"46eb72e4-911b-4f17-afa9-a94d42dfcbef\",\"type\":\"WheelZoomTool\"},{\"id\":\"9846262f-183d-43e6-b278-6ac49559dd69\",\"type\":\"BoxZoomTool\"},{\"id\":\"0eddfe14-cee1-4853-ac32-f0d22dc8699e\",\"type\":\"SaveTool\"},{\"id\":\"7fe42c1c-894d-46d4-9257-35a1dc36466c\",\"type\":\"ResetTool\"},{\"id\":\"1bea0b8d-c53e-43a2-a732-f4648495b402\",\"type\":\"HelpTool\"}]},\"id\":\"10a19e19-02a2-475b-8406-3c21d8da5b46\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"ad35cf0c-0e5b-4100-8fa6-00ce21b69c12\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"e5842c0c-fd8d-44ac-b500-296899dff5aa\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"0abcf802-4ba5-4802-8a06-31c9673fd5de\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"61d151cc-1443-4377-b2a5-71fe0b5ff494\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"red\"},\"line_alpha\":{\"value\":0.4},\"line_color\":{\"value\":\"red\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"10285d43-a120-4aa9-9f24-5ac28ffa46c0\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"magenta\"},\"line_alpha\":{\"value\":0.4},\"line_color\":{\"value\":\"magenta\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"ad8b2453-bb3f-4c0e-9cd6-8cb23e16801f\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"blue\"},\"line_alpha\":{\"value\":0.4},\"line_color\":{\"value\":\"blue\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1b69f779-9065-4176-8deb-54c2cdb0abdf\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[100]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[100]}}},\"id\":\"3a298aef-3e85-486c-a822-8d8ba749ea13\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"961692d3-5d9d-413b-af3a-7dd95eaa6773\",\"type\":\"Circle\"},{\"attributes\":{\"formatter\":{\"id\":\"7b86a82a-b121-4e1f-ae71-be992129c14c\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8c51cd31-a3c8-44cd-8461-e0336ba054b2\",\"type\":\"BasicTicker\"}},\"id\":\"aeff42d5-9279-484c-8e33-ad92cff0e64b\",\"type\":\"LinearAxis\"},{\"attributes\":{\"label\":{\"value\":\"1\"},\"renderers\":[{\"id\":\"4a6ab629-922a-4cca-9d25-6fc2b76893f4\",\"type\":\"GlyphRenderer\"}]},\"id\":\"b1689a95-a3fc-4723-b733-838dc50d2bc9\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"383ecda6-36c1-4403-afb6-e18fe92e8731\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8c51cd31-a3c8-44cd-8461-e0336ba054b2\",\"type\":\"BasicTicker\"}},\"id\":\"f4204887-e43f-456d-86f5-0e67d500ed05\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"1c51aa9f-10a8-4361-a173-48c7c6942006\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1b69f779-9065-4176-8deb-54c2cdb0abdf\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"96b7e4be-6f1b-4a47-91db-cbd18bed4195\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"c78ed4fd-0dd2-4855-9a0b-a81bc58f6446\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[107]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[107]}}},\"id\":\"ad35cf0c-0e5b-4100-8fa6-00ce21b69c12\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[81]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[81]}}},\"id\":\"d651deee-ae2a-460d-be1d-b023292a3a4d\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"0abcf802-4ba5-4802-8a06-31c9673fd5de\",\"type\":\"Circle\"},{\"attributes\":{\"label\":{\"value\":\"0\"},\"renderers\":[{\"id\":\"c78ed4fd-0dd2-4855-9a0b-a81bc58f6446\",\"type\":\"GlyphRenderer\"}]},\"id\":\"51ea03b1-9398-41c5-8b57-0c12c1caf274\",\"type\":\"LegendItem\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"cyan\"},\"line_alpha\":{\"value\":0.4},\"line_color\":{\"value\":\"cyan\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e34bdd34-2372-42a7-97c4-71acb03b6bca\",\"type\":\"Circle\"},{\"attributes\":{\"overlay\":{\"id\":\"3e7713e2-c4e3-4fad-a332-a1102c07fff4\",\"type\":\"BoxAnnotation\"},\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"9846262f-183d-43e6-b278-6ac49559dd69\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"formatter\":{\"id\":\"383ecda6-36c1-4403-afb6-e18fe92e8731\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0381250d-3021-4a37-971f-67972b73567c\",\"type\":\"BasicTicker\"}},\"id\":\"de561971-5cfb-4f3e-a4a7-a303933ba023\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"8c51cd31-a3c8-44cd-8461-e0336ba054b2\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[111]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[111]}}},\"id\":\"ba216e52-be76-4db2-8352-ebe09293b50b\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1d84d47f-908a-444d-8a45-ba8c8cf0ba79\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"yellow\"},\"line_alpha\":{\"value\":0.4},\"line_color\":{\"value\":\"yellow\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"4b00d740-2b64-4c58-ae14-8b519c061d9e\",\"type\":\"Circle\"},{\"attributes\":{\"data_source\":{\"id\":\"da6256f6-6da5-480c-8f85-aeecc6a6c7d2\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"4addc9c8-c892-43c6-b531-a3b8cdb3ea29\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"5b22d030-9f3b-46c8-aa62-4805a15b2170\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"a6fa1671-46ff-4904-a75d-b3e1c7ee8798\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"7fe42c1c-894d-46d4-9257-35a1dc36466c\",\"type\":\"ResetTool\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[90]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[90]}}},\"id\":\"5705cbda-a125-4b95-8dcc-a7a4e409bb0a\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"fcf23350-cea8-40c0-9b8d-e664d26c8000\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"x\"],\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[96]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[96]}}},\"id\":\"da6256f6-6da5-480c-8f85-aeecc6a6c7d2\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"plot\":{\"id\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0381250d-3021-4a37-971f-67972b73567c\",\"type\":\"BasicTicker\"}},\"id\":\"582554cc-769c-4e47-9cf2-1baca126df0e\",\"type\":\"Grid\"},{\"attributes\":{\"label\":{\"value\":\"2\"},\"renderers\":[{\"id\":\"b2e97d19-5b4d-4d3c-8df5-a5f760eda438\",\"type\":\"GlyphRenderer\"}]},\"id\":\"479fa1de-d9b5-4c46-a324-a0dd27bc192e\",\"type\":\"LegendItem\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"black\"},\"line_alpha\":{\"value\":0.4},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f331f988-abb4-4bac-baaa-3d326ad1e8af\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null},\"id\":\"d1d7b111-1dae-4a56-9f57-37a3f77020f7\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"75f57b6c-48b5-4d3c-9b7b-bc20eecabb2e\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.4},\"fill_color\":{\"value\":\"purple\"},\"line_alpha\":{\"value\":0.4},\"line_color\":{\"value\":\"purple\"},\"size\":{\"units\":\"screen\",\"value\":7},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"fb675052-09f3-4302-aab8-cf62d3f45bc5\",\"type\":\"Circle\"}],\"root_ids\":[\"b865903c-b5ce-41ea-b059-2a4b1569d610\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.5\"}};\n",
+       "            var render_items = [{\"docid\":\"0a107901-21f4-414c-8b60-0314827c77c9\",\"elementid\":\"e90df1a2-e577-49fb-89bb-6e083232c9ec\",\"modelid\":\"b865903c-b5ce-41ea-b059-2a4b1569d610\"}];\n",
+       "            \n",
+       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
+       "          };\n",
+       "          if (document.readyState != \"loading\") fn();\n",
+       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
+       "        })();\n",
+       "      },\n",
+       "      function(Bokeh) {\n",
+       "      }\n",
+       "    ];\n",
+       "  \n",
+       "    function run_inline_js() {\n",
+       "      \n",
+       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
+       "        for (var i = 0; i < inline_js.length; i++) {\n",
+       "          inline_js[i](window.Bokeh);\n",
+       "        }if (force === true) {\n",
+       "          display_loaded();\n",
+       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
+       "        setTimeout(run_inline_js, 100);\n",
+       "      } else if (!window._bokeh_failed_load) {\n",
+       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "        window._bokeh_failed_load = true;\n",
+       "      } else if (force !== true) {\n",
+       "        var cell = $(document.getElementById(\"e90df1a2-e577-49fb-89bb-6e083232c9ec\")).parents('.cell').data().cell;\n",
+       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
+       "      }\n",
+       "  \n",
+       "    }\n",
+       "  \n",
+       "    if (window._bokeh_is_loading === 0) {\n",
+       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+       "      run_inline_js();\n",
+       "    } else {\n",
+       "      load_libs(js_urls, function() {\n",
+       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "        run_inline_js();\n",
+       "      });\n",
+       "    }\n",
+       "  }(this));\n",
+       "</script>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "p = figure(plot_width=600, plot_height=600)\n",
+    "\n",
+    "colors = [x for x in 'blue-green-red-cyan-magenta-yellow-black-purple-coral-lime'.split('-')]\n",
+    "colors_map = colors_map[:1000]\n",
+    "for cl in range(nb_classes):\n",
+    "    indices = np.where(colors_map==cl)\n",
+    "    p.circle(X_tsne[indices, 0].ravel(), X_tsne[indices, 1].ravel(), size=7, \n",
+    "             color=colors[cl], alpha=0.4, legend=str(cl))\n",
+    "\n",
+    "# show the results\n",
+    "p.legend.location = 'bottom_right'\n",
+    "show(p)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Note: We used `default` TSNE parameters. Better results can be achieved by tuning TSNE Hyper-parameters"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise 1: Try with a different algorithm to create the manifold"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.manifold import MDS"
    ]
   },
   {
@@ -830,7 +1353,14 @@
    },
    "outputs": [],
    "source": [
-    "colors = np.ar"
+    "## Your code here"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise 2: Try extracting the Hidden features of the First and the Last layer of the model"
    ]
   },
   {
@@ -841,15 +1371,22 @@
    },
    "outputs": [],
    "source": [
-    "colors = 'bgrcmykpoa'\n",
-    "color_classes = np.argmax()\n",
-    "plt.scatter(X_tsne[:,0], X_tsne[:, 1], c=colors[Y_train])"
+    "## Your code here"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python [default]",
    "language": "python",
    "name": "python3"
   },