diff --git a/doc/HandWrittenNotes/NotesOctober16.pdf b/doc/HandWrittenNotes/NotesOctober16.pdf
new file mode 100644
index 000000000..74bd2282c
Binary files /dev/null and b/doc/HandWrittenNotes/NotesOctober16.pdf differ
diff --git a/doc/pub/week42/ipynb/week42.ipynb b/doc/pub/week42/ipynb/week42.ipynb
index 6b3758969..b721db302 100644
--- a/doc/pub/week42/ipynb/week42.ipynb
+++ b/doc/pub/week42/ipynb/week42.ipynb
@@ -327,10 +327,29 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "inputs = (n_inputs, pixel_width, pixel_height, depth) = (1797, 8, 8, 1)\n",
+      "labels = (n_inputs) = (1797,)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 5 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "%matplotlib inline\n",
     "\n",
@@ -386,9 +405,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from tensorflow.keras import datasets, layers, models\n",
@@ -426,9 +443,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def create_convolutional_neural_network_keras(input_shape, receptive_field,\n",
@@ -469,10 +484,260 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "360/360 [==============================] - 0s 270us/sample - loss: 2.9499 - accuracy: 0.1417\n",
+      "Learning rate =  1e-05\n",
+      "Lambda =  1e-05\n",
+      "Test accuracy: 0.142\n",
+      "\n",
+      "360/360 [==============================] - 0s 276us/sample - loss: 3.1746 - accuracy: 0.0972\n",
+      "Learning rate =  1e-05\n",
+      "Lambda =  0.0001\n",
+      "Test accuracy: 0.097\n",
+      "\n",
+      "360/360 [==============================] - 0s 266us/sample - loss: 2.8655 - accuracy: 0.2361\n",
+      "Learning rate =  1e-05\n",
+      "Lambda =  0.001\n",
+      "Test accuracy: 0.236\n",
+      "\n",
+      "360/360 [==============================] - 0s 268us/sample - loss: 4.1425 - accuracy: 0.0861\n",
+      "Learning rate =  1e-05\n",
+      "Lambda =  0.01\n",
+      "Test accuracy: 0.086\n",
+      "\n",
+      "360/360 [==============================] - 0s 281us/sample - loss: 12.1606 - accuracy: 0.1194\n",
+      "Learning rate =  1e-05\n",
+      "Lambda =  0.1\n",
+      "Test accuracy: 0.119\n",
+      "\n",
+      "360/360 [==============================] - 0s 264us/sample - loss: 92.4401 - accuracy: 0.1167\n",
+      "Learning rate =  1e-05\n",
+      "Lambda =  1.0\n",
+      "Test accuracy: 0.117\n",
+      "\n",
+      "360/360 [==============================] - 0s 266us/sample - loss: 513.3971 - accuracy: 0.1250\n",
+      "Learning rate =  1e-05\n",
+      "Lambda =  10.0\n",
+      "Test accuracy: 0.125\n",
+      "\n",
+      "360/360 [==============================] - 0s 266us/sample - loss: 1.5727 - accuracy: 0.4889\n",
+      "Learning rate =  0.0001\n",
+      "Lambda =  1e-05\n",
+      "Test accuracy: 0.489\n",
+      "\n",
+      "360/360 [==============================] - 0s 266us/sample - loss: 1.4129 - accuracy: 0.5778\n",
+      "Learning rate =  0.0001\n",
+      "Lambda =  0.0001\n",
+      "Test accuracy: 0.578\n",
+      "\n",
+      "360/360 [==============================] - 0s 270us/sample - loss: 1.1714 - accuracy: 0.6750\n",
+      "Learning rate =  0.0001\n",
+      "Lambda =  0.001\n",
+      "Test accuracy: 0.675\n",
+      "\n",
+      "360/360 [==============================] - 0s 272us/sample - loss: 2.0958 - accuracy: 0.6417\n",
+      "Learning rate =  0.0001\n",
+      "Lambda =  0.01\n",
+      "Test accuracy: 0.642\n",
+      "\n",
+      "360/360 [==============================] - 0s 282us/sample - loss: 10.6445 - accuracy: 0.4528\n",
+      "Learning rate =  0.0001\n",
+      "Lambda =  0.1\n",
+      "Test accuracy: 0.453\n",
+      "\n",
+      "360/360 [==============================] - 0s 265us/sample - loss: 53.7238 - accuracy: 0.5167\n",
+      "Learning rate =  0.0001\n",
+      "Lambda =  1.0\n",
+      "Test accuracy: 0.517\n",
+      "\n",
+      "360/360 [==============================] - 0s 266us/sample - loss: 4.6263 - accuracy: 0.0889\n",
+      "Learning rate =  0.0001\n",
+      "Lambda =  10.0\n",
+      "Test accuracy: 0.089\n",
+      "\n",
+      "360/360 [==============================] - 0s 267us/sample - loss: 0.2329 - accuracy: 0.9361\n",
+      "Learning rate =  0.001\n",
+      "Lambda =  1e-05\n",
+      "Test accuracy: 0.936\n",
+      "\n",
+      "360/360 [==============================] - 0s 267us/sample - loss: 0.2550 - accuracy: 0.9389\n",
+      "Learning rate =  0.001\n",
+      "Lambda =  0.0001\n",
+      "Test accuracy: 0.939\n",
+      "\n",
+      "360/360 [==============================] - 0s 273us/sample - loss: 0.4001 - accuracy: 0.9028\n",
+      "Learning rate =  0.001\n",
+      "Lambda =  0.001\n",
+      "Test accuracy: 0.903\n",
+      "\n",
+      "360/360 [==============================] - 0s 272us/sample - loss: 1.1501 - accuracy: 0.9250\n",
+      "Learning rate =  0.001\n",
+      "Lambda =  0.01\n",
+      "Test accuracy: 0.925\n",
+      "\n",
+      "360/360 [==============================] - 0s 269us/sample - loss: 5.7982 - accuracy: 0.9472\n",
+      "Learning rate =  0.001\n",
+      "Lambda =  0.1\n",
+      "Test accuracy: 0.947\n",
+      "\n",
+      "360/360 [==============================] - 0s 263us/sample - loss: 2.6227 - accuracy: 0.4722\n",
+      "Learning rate =  0.001\n",
+      "Lambda =  1.0\n",
+      "Test accuracy: 0.472\n",
+      "\n",
+      "360/360 [==============================] - 0s 270us/sample - loss: 2.3032 - accuracy: 0.0889\n",
+      "Learning rate =  0.001\n",
+      "Lambda =  10.0\n",
+      "Test accuracy: 0.089\n",
+      "\n",
+      "360/360 [==============================] - 0s 269us/sample - loss: 0.0612 - accuracy: 0.9861\n",
+      "Learning rate =  0.01\n",
+      "Lambda =  1e-05\n",
+      "Test accuracy: 0.986\n",
+      "\n",
+      "360/360 [==============================] - 0s 276us/sample - loss: 0.0671 - accuracy: 0.9833\n",
+      "Learning rate =  0.01\n",
+      "Lambda =  0.0001\n",
+      "Test accuracy: 0.983\n",
+      "\n",
+      "360/360 [==============================] - 0s 315us/sample - loss: 0.1622 - accuracy: 0.9833\n",
+      "Learning rate =  0.01\n",
+      "Lambda =  0.001\n",
+      "Test accuracy: 0.983\n",
+      "\n",
+      "360/360 [==============================] - 0s 306us/sample - loss: 0.6783 - accuracy: 0.9750\n",
+      "Learning rate =  0.01\n",
+      "Lambda =  0.01\n",
+      "Test accuracy: 0.975\n",
+      "\n",
+      "360/360 [==============================] - 0s 271us/sample - loss: 0.9861 - accuracy: 0.9139\n",
+      "Learning rate =  0.01\n",
+      "Lambda =  0.1\n",
+      "Test accuracy: 0.914\n",
+      "\n",
+      "360/360 [==============================] - 0s 284us/sample - loss: 2.3063 - accuracy: 0.0889\n",
+      "Learning rate =  0.01\n",
+      "Lambda =  1.0\n",
+      "Test accuracy: 0.089\n",
+      "\n",
+      "360/360 [==============================] - 0s 268us/sample - loss: 2.3066 - accuracy: 0.0889\n",
+      "Learning rate =  0.01\n",
+      "Lambda =  10.0\n",
+      "Test accuracy: 0.089\n",
+      "\n",
+      "360/360 [==============================] - 0s 269us/sample - loss: 0.0860 - accuracy: 0.9806\n",
+      "Learning rate =  0.1\n",
+      "Lambda =  1e-05\n",
+      "Test accuracy: 0.981\n",
+      "\n",
+      "360/360 [==============================] - 0s 272us/sample - loss: 0.0994 - accuracy: 0.9694\n",
+      "Learning rate =  0.1\n",
+      "Lambda =  0.0001\n",
+      "Test accuracy: 0.969\n",
+      "\n",
+      "360/360 [==============================] - 0s 276us/sample - loss: 0.1380 - accuracy: 0.9861\n",
+      "Learning rate =  0.1\n",
+      "Lambda =  0.001\n",
+      "Test accuracy: 0.986\n",
+      "\n",
+      "360/360 [==============================] - 0s 270us/sample - loss: 0.2716 - accuracy: 0.9750\n",
+      "Learning rate =  0.1\n",
+      "Lambda =  0.01\n",
+      "Test accuracy: 0.975\n",
+      "\n",
+      "360/360 [==============================] - 0s 266us/sample - loss: 1.2340 - accuracy: 0.8528\n",
+      "Learning rate =  0.1\n",
+      "Lambda =  0.1\n",
+      "Test accuracy: 0.853\n",
+      "\n",
+      "360/360 [==============================] - 0s 271us/sample - loss: 2.3084 - accuracy: 0.0778\n",
+      "Learning rate =  0.1\n",
+      "Lambda =  1.0\n",
+      "Test accuracy: 0.078\n",
+      "\n",
+      "360/360 [==============================] - 0s 270us/sample - loss: nan - accuracy: 0.0778\n",
+      "Learning rate =  0.1\n",
+      "Lambda =  10.0\n",
+      "Test accuracy: 0.078\n",
+      "\n",
+      "360/360 [==============================] - 0s 269us/sample - loss: 145.8945 - accuracy: 0.0889\n",
+      "Learning rate =  1.0\n",
+      "Lambda =  1e-05\n",
+      "Test accuracy: 0.089\n",
+      "\n",
+      "360/360 [==============================] - 0s 265us/sample - loss: 12.0592 - accuracy: 0.0861\n",
+      "Learning rate =  1.0\n",
+      "Lambda =  0.0001\n",
+      "Test accuracy: 0.086\n",
+      "\n",
+      "360/360 [==============================] - 0s 267us/sample - loss: 15.1758 - accuracy: 0.0889\n",
+      "Learning rate =  1.0\n",
+      "Lambda =  0.001\n",
+      "Test accuracy: 0.089\n",
+      "\n",
+      "360/360 [==============================] - 0s 272us/sample - loss: 2.3114 - accuracy: 0.1056\n",
+      "Learning rate =  1.0\n",
+      "Lambda =  0.01\n",
+      "Test accuracy: 0.106\n",
+      "\n",
+      "360/360 [==============================] - 0s 280us/sample - loss: 2.3102 - accuracy: 0.0889\n",
+      "Learning rate =  1.0\n",
+      "Lambda =  0.1\n",
+      "Test accuracy: 0.089\n",
+      "\n",
+      "360/360 [==============================] - 0s 267us/sample - loss: nan - accuracy: 0.0778\n",
+      "Learning rate =  1.0\n",
+      "Lambda =  1.0\n",
+      "Test accuracy: 0.078\n",
+      "\n",
+      "360/360 [==============================] - 0s 269us/sample - loss: nan - accuracy: 0.0778\n",
+      "Learning rate =  1.0\n",
+      "Lambda =  10.0\n",
+      "Test accuracy: 0.078\n",
+      "\n",
+      "360/360 [==============================] - 0s 270us/sample - loss: 108165.7293 - accuracy: 0.0889\n",
+      "Learning rate =  10.0\n",
+      "Lambda =  1e-05\n",
+      "Test accuracy: 0.089\n",
+      "\n",
+      "360/360 [==============================] - 0s 266us/sample - loss: 17690.6252 - accuracy: 0.1056\n",
+      "Learning rate =  10.0\n",
+      "Lambda =  0.0001\n",
+      "Test accuracy: 0.106\n",
+      "\n",
+      "360/360 [==============================] - 0s 267us/sample - loss: 2.4732 - accuracy: 0.0889\n",
+      "Learning rate =  10.0\n",
+      "Lambda =  0.001\n",
+      "Test accuracy: 0.089\n",
+      "\n",
+      "360/360 [==============================] - 0s 271us/sample - loss: 2.6679 - accuracy: 0.0778\n",
+      "Learning rate =  10.0\n",
+      "Lambda =  0.01\n",
+      "Test accuracy: 0.078\n",
+      "\n",
+      "360/360 [==============================] - 0s 266us/sample - loss: nan - accuracy: 0.0778\n",
+      "Learning rate =  10.0\n",
+      "Lambda =  0.1\n",
+      "Test accuracy: 0.078\n",
+      "\n",
+      "360/360 [==============================] - 0s 270us/sample - loss: nan - accuracy: 0.0778\n",
+      "Learning rate =  10.0\n",
+      "Lambda =  1.0\n",
+      "Test accuracy: 0.078\n",
+      "\n",
+      "360/360 [==============================] - 0s 266us/sample - loss: nan - accuracy: 0.0778\n",
+      "Learning rate =  10.0\n",
+      "Lambda =  10.0\n",
+      "Test accuracy: 0.078\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "CNN_keras = np.zeros((len(eta_vals), len(lmbd_vals)), dtype=object)\n",
     "        \n",
@@ -502,10 +767,139 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1437/1437 [==============================] - 0s 33us/sample - loss: 2.9792 - accuracy: 0.1308\n",
+      "360/360 [==============================] - 0s 43us/sample - loss: 2.9499 - accuracy: 0.1417\n",
+      "1437/1437 [==============================] - 0s 35us/sample - loss: 3.2380 - accuracy: 0.1232\n",
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+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "360/360 [==============================] - 0s 34us/sample - loss: nan - accuracy: 0.0778\n",
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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# visual representation of grid search\n",
     "# uses seaborn heatmap, could probably do this in matplotlib\n",
@@ -553,10 +947,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [],
    "source": [
     "import tensorflow as tf\n",
@@ -582,15 +974,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 25 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',\n",
     "               'dog', 'frog', 'horse', 'ship', 'truck']\n",
-    "​\n",
+    "\n",
     "plt.figure(figsize=(10,10))\n",
     "for i in range(25):\n",
     "    plt.subplot(5,5,i+1)\n",
@@ -617,11 +1018,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_49\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "conv2d_49 (Conv2D)           (None, 30, 30, 32)        896       \n",
+      "_________________________________________________________________\n",
+      "max_pooling2d_49 (MaxPooling (None, 15, 15, 32)        0         \n",
+      "_________________________________________________________________\n",
+      "conv2d_50 (Conv2D)           (None, 13, 13, 64)        18496     \n",
+      "_________________________________________________________________\n",
+      "max_pooling2d_50 (MaxPooling (None, 6, 6, 64)          0         \n",
+      "_________________________________________________________________\n",
+      "conv2d_51 (Conv2D)           (None, 4, 4, 64)          36928     \n",
+      "=================================================================\n",
+      "Total params: 56,320\n",
+      "Trainable params: 56,320\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n"
+     ]
+    }
+   ],
    "source": [
     "model = models.Sequential()\n",
     "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(32, 32, 3)))\n",
@@ -657,16 +1081,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_49\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "conv2d_49 (Conv2D)           (None, 30, 30, 32)        896       \n",
+      "_________________________________________________________________\n",
+      "max_pooling2d_49 (MaxPooling (None, 15, 15, 32)        0         \n",
+      "_________________________________________________________________\n",
+      "conv2d_50 (Conv2D)           (None, 13, 13, 64)        18496     \n",
+      "_________________________________________________________________\n",
+      "max_pooling2d_50 (MaxPooling (None, 6, 6, 64)          0         \n",
+      "_________________________________________________________________\n",
+      "conv2d_51 (Conv2D)           (None, 4, 4, 64)          36928     \n",
+      "_________________________________________________________________\n",
+      "flatten_49 (Flatten)         (None, 1024)              0         \n",
+      "_________________________________________________________________\n",
+      "dense_98 (Dense)             (None, 64)                65600     \n",
+      "_________________________________________________________________\n",
+      "dense_99 (Dense)             (None, 10)                650       \n",
+      "=================================================================\n",
+      "Total params: 122,570\n",
+      "Trainable params: 122,570\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n"
+     ]
+    }
+   ],
    "source": [
     "model.add(layers.Flatten())\n",
     "model.add(layers.Dense(64, activation='relu'))\n",
     "model.add(layers.Dense(10))\n",
-    "Here's the complete architecture of our model.\n",
+    "#Here's the complete architecture of our model.\n",
     "\n",
     "model.summary()"
    ]
@@ -682,16 +1135,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on 50000 samples, validate on 10000 samples\n",
+      "Epoch 1/10\n",
+      "50000/50000 [==============================] - 29s 588us/sample - loss: 1.4859 - accuracy: 0.4624 - val_loss: 1.2305 - val_accuracy: 0.5614\n",
+      "Epoch 2/10\n",
+      "50000/50000 [==============================] - 36s 723us/sample - loss: 1.1038 - accuracy: 0.6117 - val_loss: 1.0395 - val_accuracy: 0.6340\n",
+      "Epoch 3/10\n",
+      "50000/50000 [==============================] - 33s 657us/sample - loss: 0.9519 - accuracy: 0.6655 - val_loss: 0.9358 - val_accuracy: 0.6690\n",
+      "Epoch 4/10\n",
+      "50000/50000 [==============================] - 31s 623us/sample - loss: 0.8557 - accuracy: 0.6983 - val_loss: 0.8984 - val_accuracy: 0.6826\n",
+      "Epoch 5/10\n",
+      "50000/50000 [==============================] - 34s 686us/sample - loss: 0.7815 - accuracy: 0.7239 - val_loss: 0.8937 - val_accuracy: 0.6926\n",
+      "Epoch 6/10\n",
+      "50000/50000 [==============================] - 39s 778us/sample - loss: 0.7171 - accuracy: 0.7455 - val_loss: 0.8841 - val_accuracy: 0.6909\n",
+      "Epoch 7/10\n",
+      "50000/50000 [==============================] - 35s 706us/sample - loss: 0.6686 - accuracy: 0.7636 - val_loss: 0.8679 - val_accuracy: 0.7088\n",
+      "Epoch 8/10\n",
+      "50000/50000 [==============================] - 36s 717us/sample - loss: 0.6195 - accuracy: 0.7808 - val_loss: 0.8770 - val_accuracy: 0.7042\n",
+      "Epoch 9/10\n",
+      "50000/50000 [==============================] - 33s 658us/sample - loss: 0.5780 - accuracy: 0.7965 - val_loss: 0.8683 - val_accuracy: 0.7132\n",
+      "Epoch 10/10\n",
+      "50000/50000 [==============================] - 31s 622us/sample - loss: 0.5363 - accuracy: 0.8093 - val_loss: 0.8779 - val_accuracy: 0.7136\n"
+     ]
+    }
+   ],
    "source": [
     "model.compile(optimizer='adam',\n",
     "              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n",
     "              metrics=['accuracy'])\n",
-    "​\n",
+    "\n",
     "history = model.fit(train_images, train_labels, epochs=10, \n",
     "                    validation_data=(test_images, test_labels))"
    ]
@@ -705,11 +1184,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10000/10000 - 2s - loss: 0.8779 - accuracy: 0.7136\n",
+      "0.7136\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plt.plot(history.history['accuracy'], label='accuracy')\n",
     "plt.plot(history.history['val_accuracy'], label = 'val_accuracy')\n",
@@ -761,11 +1257,252 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_52\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "simple_rnn_2 (SimpleRNN)     (None, 32)                1184      \n",
+      "_________________________________________________________________\n",
+      "dense_104 (Dense)            (None, 8)                 264       \n",
+      "_________________________________________________________________\n",
+      "dense_105 (Dense)            (None, 1)                 9         \n",
+      "=================================================================\n",
+      "Total params: 1,457\n",
+      "Trainable params: 1,457\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n",
+      "Train on 800 samples\n",
+      "Epoch 1/100\n",
+      "800/800 - 1s - loss: 1.2877\n",
+      "Epoch 2/100\n",
+      "800/800 - 0s - loss: 0.4611\n",
+      "Epoch 3/100\n",
+      "800/800 - 0s - loss: 0.4365\n",
+      "Epoch 4/100\n",
+      "800/800 - 0s - loss: 0.4249\n",
+      "Epoch 5/100\n",
+      "800/800 - 0s - loss: 0.4223\n",
+      "Epoch 6/100\n",
+      "800/800 - 0s - loss: 0.4215\n",
+      "Epoch 7/100\n",
+      "800/800 - 0s - loss: 0.4174\n",
+      "Epoch 8/100\n",
+      "800/800 - 0s - loss: 0.4131\n",
+      "Epoch 9/100\n",
+      "800/800 - 0s - loss: 0.4153\n",
+      "Epoch 10/100\n",
+      "800/800 - 0s - loss: 0.4137\n",
+      "Epoch 11/100\n",
+      "800/800 - 0s - loss: 0.4121\n",
+      "Epoch 12/100\n",
+      "800/800 - 0s - loss: 0.4061\n",
+      "Epoch 13/100\n",
+      "800/800 - 0s - loss: 0.4123\n",
+      "Epoch 14/100\n",
+      "800/800 - 0s - loss: 0.4081\n",
+      "Epoch 15/100\n",
+      "800/800 - 0s - loss: 0.4102\n",
+      "Epoch 16/100\n",
+      "800/800 - 0s - loss: 0.4070\n",
+      "Epoch 17/100\n",
+      "800/800 - 0s - loss: 0.4083\n",
+      "Epoch 18/100\n",
+      "800/800 - 0s - loss: 0.4085\n",
+      "Epoch 19/100\n",
+      "800/800 - 0s - loss: 0.4057\n",
+      "Epoch 20/100\n",
+      "800/800 - 0s - loss: 0.4066\n",
+      "Epoch 21/100\n",
+      "800/800 - 0s - loss: 0.4073\n",
+      "Epoch 22/100\n",
+      "800/800 - 0s - loss: 0.4030\n",
+      "Epoch 23/100\n",
+      "800/800 - 0s - loss: 0.4044\n",
+      "Epoch 24/100\n",
+      "800/800 - 0s - loss: 0.4043\n",
+      "Epoch 25/100\n",
+      "800/800 - 0s - loss: 0.4014\n",
+      "Epoch 26/100\n",
+      "800/800 - 0s - loss: 0.3995\n",
+      "Epoch 27/100\n",
+      "800/800 - 0s - loss: 0.4030\n",
+      "Epoch 28/100\n",
+      "800/800 - 0s - loss: 0.4002\n",
+      "Epoch 29/100\n",
+      "800/800 - 0s - loss: 0.3994\n",
+      "Epoch 30/100\n",
+      "800/800 - 0s - loss: 0.4003\n",
+      "Epoch 31/100\n",
+      "800/800 - 0s - loss: 0.4002\n",
+      "Epoch 32/100\n",
+      "800/800 - 0s - loss: 0.3993\n",
+      "Epoch 33/100\n",
+      "800/800 - 0s - loss: 0.3967\n",
+      "Epoch 34/100\n",
+      "800/800 - 0s - loss: 0.3972\n",
+      "Epoch 35/100\n",
+      "800/800 - 0s - loss: 0.3966\n",
+      "Epoch 36/100\n",
+      "800/800 - 0s - loss: 0.3959\n",
+      "Epoch 37/100\n",
+      "800/800 - 0s - loss: 0.3974\n",
+      "Epoch 38/100\n",
+      "800/800 - 0s - loss: 0.3937\n",
+      "Epoch 39/100\n",
+      "800/800 - 0s - loss: 0.3954\n",
+      "Epoch 40/100\n",
+      "800/800 - 0s - loss: 0.3937\n",
+      "Epoch 41/100\n",
+      "800/800 - 0s - loss: 0.3920\n",
+      "Epoch 42/100\n",
+      "800/800 - 0s - loss: 0.3926\n",
+      "Epoch 43/100\n",
+      "800/800 - 0s - loss: 0.3924\n",
+      "Epoch 44/100\n",
+      "800/800 - 0s - loss: 0.3931\n",
+      "Epoch 45/100\n",
+      "800/800 - 0s - loss: 0.3901\n",
+      "Epoch 46/100\n",
+      "800/800 - 0s - loss: 0.3904\n",
+      "Epoch 47/100\n",
+      "800/800 - 0s - loss: 0.3900\n",
+      "Epoch 48/100\n",
+      "800/800 - 0s - loss: 0.3881\n",
+      "Epoch 49/100\n",
+      "800/800 - 0s - loss: 0.3897\n",
+      "Epoch 50/100\n",
+      "800/800 - 0s - loss: 0.3883\n",
+      "Epoch 51/100\n",
+      "800/800 - 0s - loss: 0.3875\n",
+      "Epoch 52/100\n",
+      "800/800 - 0s - loss: 0.3880\n",
+      "Epoch 53/100\n",
+      "800/800 - 0s - loss: 0.3885\n",
+      "Epoch 54/100\n",
+      "800/800 - 0s - loss: 0.3856\n",
+      "Epoch 55/100\n",
+      "800/800 - 0s - loss: 0.3862\n",
+      "Epoch 56/100\n",
+      "800/800 - 0s - loss: 0.3848\n",
+      "Epoch 57/100\n",
+      "800/800 - 0s - loss: 0.3859\n",
+      "Epoch 58/100\n",
+      "800/800 - 0s - loss: 0.3854\n",
+      "Epoch 59/100\n",
+      "800/800 - 0s - loss: 0.3846\n",
+      "Epoch 60/100\n",
+      "800/800 - 0s - loss: 0.3817\n",
+      "Epoch 61/100\n",
+      "800/800 - 0s - loss: 0.3863\n",
+      "Epoch 62/100\n",
+      "800/800 - 0s - loss: 0.3854\n",
+      "Epoch 63/100\n",
+      "800/800 - 0s - loss: 0.3817\n",
+      "Epoch 64/100\n",
+      "800/800 - 0s - loss: 0.3859\n",
+      "Epoch 65/100\n",
+      "800/800 - 0s - loss: 0.3824\n",
+      "Epoch 66/100\n",
+      "800/800 - 0s - loss: 0.3848\n",
+      "Epoch 67/100\n",
+      "800/800 - 0s - loss: 0.3831\n",
+      "Epoch 68/100\n",
+      "800/800 - 0s - loss: 0.3844\n",
+      "Epoch 69/100\n",
+      "800/800 - 0s - loss: 0.3829\n",
+      "Epoch 70/100\n",
+      "800/800 - 0s - loss: 0.3819\n",
+      "Epoch 71/100\n",
+      "800/800 - 0s - loss: 0.3822\n",
+      "Epoch 72/100\n",
+      "800/800 - 0s - loss: 0.3770\n",
+      "Epoch 73/100\n",
+      "800/800 - 0s - loss: 0.3810\n",
+      "Epoch 74/100\n",
+      "800/800 - 0s - loss: 0.3807\n",
+      "Epoch 75/100\n",
+      "800/800 - 0s - loss: 0.3802\n",
+      "Epoch 76/100\n",
+      "800/800 - 0s - loss: 0.3810\n",
+      "Epoch 77/100\n",
+      "800/800 - 0s - loss: 0.3801\n",
+      "Epoch 78/100\n",
+      "800/800 - 0s - loss: 0.3783\n",
+      "Epoch 79/100\n",
+      "800/800 - 0s - loss: 0.3794\n",
+      "Epoch 80/100\n",
+      "800/800 - 0s - loss: 0.3800\n",
+      "Epoch 81/100\n",
+      "800/800 - 0s - loss: 0.3787\n",
+      "Epoch 82/100\n",
+      "800/800 - 0s - loss: 0.3787\n",
+      "Epoch 83/100\n",
+      "800/800 - 0s - loss: 0.3786\n",
+      "Epoch 84/100\n",
+      "800/800 - 0s - loss: 0.3775\n",
+      "Epoch 85/100\n",
+      "800/800 - 0s - loss: 0.3762\n",
+      "Epoch 86/100\n",
+      "800/800 - 0s - loss: 0.3770\n",
+      "Epoch 87/100\n",
+      "800/800 - 0s - loss: 0.3756\n",
+      "Epoch 88/100\n",
+      "800/800 - 0s - loss: 0.3760\n",
+      "Epoch 89/100\n",
+      "800/800 - 0s - loss: 0.3757\n",
+      "Epoch 90/100\n",
+      "800/800 - 0s - loss: 0.3743\n",
+      "Epoch 91/100\n",
+      "800/800 - 0s - loss: 0.3745\n",
+      "Epoch 92/100\n",
+      "800/800 - 0s - loss: 0.3741\n",
+      "Epoch 93/100\n",
+      "800/800 - 0s - loss: 0.3751\n",
+      "Epoch 94/100\n",
+      "800/800 - 0s - loss: 0.3731\n",
+      "Epoch 95/100\n",
+      "800/800 - 0s - loss: 0.3738\n",
+      "Epoch 96/100\n",
+      "800/800 - 0s - loss: 0.3747\n",
+      "Epoch 97/100\n",
+      "800/800 - 0s - loss: 0.3745\n",
+      "Epoch 98/100\n",
+      "800/800 - 0s - loss: 0.3737\n",
+      "Epoch 99/100\n",
+      "800/800 - 0s - loss: 0.3730\n",
+      "Epoch 100/100\n",
+      "800/800 - 0s - loss: 0.3724\n",
+      "0.37147161960601804\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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fqFQmdVwHnuVdL09ioJ+aQKIauF74rMvjRVlha8jVGfyA+WZ3nmV6NBCLSa/FGvSkqDhZipnHWKmcyYwVt2GQdkAsF7c+fMC6vExb2kk2jL/5xiP68Xqs8SZWF64Xvu5sGPEXrivL3dR1ejYQi0GnM1OuFGTDqDhKaswUvsfc2TAsi4W6xi1l9la1JdYCpYLlnIaXeo6JquNUljNsGJnlGZOSzHeZOo4eEsRi0mu2NwqWK05ehSrjWRbLspTlMt1zC802vnvv3p57QyR6hFJ5lhcjGwbVY2J5UScKMdtRUWVF3R6fbuDqO17U6rpZrdXnRWBkw1hotq3blYZePIlFoNfCBgqWl4HR8TmZvaIsmTPxIavRc088kjUpSRmu/eFuXHvXbjz43JHyOxNEDourLBcIlgscMOQc8+pAKYLogrMvulN+NquwGJAtbBiXfe8ZbHtgH148MOksT63DZp7lRqs7ZbnHYhui4pCyTKQ4/9L78cXr3XmV24Hba5FVnzgHXHva89gv7iC+2YUoaAiC3qr0RI9QZoBfTqVerMxx371nLz742bswNdtcnAIJIiatLDO5/OjkPJ6NZ+3jnDsDDfU+0Gbwg97uk7BMrDS9lsKWguUVZtfBSfzxxXdix57jpfflnJdKWB9mKMspCihxohzKYUusNMulLD/0fNRDNEnBMrHImO2yJ20YwHlfus/x7qjXa54KlsUKdC0N95oSSFQbsmEQGlmqMQC8sG8CALBjrytYzvAX8/zpsPVlscpgGzDSQUMoAhSfgmViCci0IBn1NT8bRpHjUZYYYuXIUpZty6PPZhnJ5yDkzjrdXZxCdwHRPb328kXB8hJzbGohc71MLu9an2XDAHeutzWSiWe5wAkVQDTiHqUaIJaArMbUXJOrLBd4wJdpu3utoSeqjyl8iGbVljrOOYGJqizzZLtIWF4cHwY198Ri0GuJAShYXmLa7eRV3/aA7eahy3m5/cW21gF+xvci7aFoxMmGQSw7RoXN9SwXaekK3UpU14nFIdU7UlBZ1rYB8DffeBg3bt8TbeuyYcDwLHd0vh3sRBAOeq0+UbC8xLSVwW+Z2Ss6eAabgzZSKw1Em2s9B679VwjyLBNLSV6vispiKMu9NuCE6F0456n6ls6GEf0fZCXbB7Dr5SlcL4JlpZAgDJO23jhWNzWdWntiMei13rmuZvD7whe+gG3btgEA3vGOd+C8885Lrb/mmmuwYcMGAMDv//7v4z3veU83h+w51C60qHLoTY1Y7bIy5Pk2nZ5lx/ZA9kQnkgItInmWiaUku+7r3/PzLHd/PnkEYQi/kIRNrHVsQkdH3dJKvZ6ea2oBt6osp47XW3EKsQrpMRdG58ryvffei+3bt+O6667D9ddfjx07duCWW27Rtnn66afxmc98BjfccANuuOGGNRcoA7oqkDUgz0Xm2xdPN7gyrRCPgth3vukUuU4c22oHKXVWEQF5lomlJMuznAo0sosqlg2jwAA/RzEPPzeKsy+6Ey+PzeSWQRDg6eDYfDZkpw1Nr/zw57dry6PHgEtM6SJSoeaeWAR6TVnuOFgeGRnB+eefj76+PtTrdZx66qk4ePCgts3TTz+NSy+9FL/1W7+FT37yk2g0Gl2fcK+h5iC25sfsosJESef1/T966f0453N3g4PD9xnee8ZPpg61WN3N4reQDYNYCrJrqRlYZN9nRapoN7fFYzvHAAAvHZnuvBBizWAbnO1Sls3tGFMHhhs9lUoZIVeUZSNw7qSu0wyXxGLSa7a3joPl1772tTj99NMBAHv37sW2bdvwjne8Q66fnZ3FaaedhnPPPRfXXXcdpqam8MUvfrH7M+4xAq3xSitgstHrUJ0169voxDxmF9rg3O3TtLbJHVTcRFkuvStBdIVZXQMzSDC2LzbddefHz1tOECq2XsaUsmz8L8jy37uyYZgFdTcpCTX4RPf0WlvZlWcZAHbu3In3v//9OO+88/Ca17xGLh8eHsZXvvIV+f2ss87Cxz72Mfz5n/954bJPOGFdt6fXMSMj6xelnHVH5+TnE05YpyleIyPrMTTUDwAYHu6zHnP9+gHnOW3aNKRNvauuHxzsg+fZf0dfn59avuWEddiyYQCDA/XovNf15/4NPD9619q8eXjR/l7LTa+e92rB9vcXy2bb7tb0hBPXYaAvab7WrZuQnzdvWYear+sAtjpvsnHDoPO8xPd6zY+OsXlI22Ygvm82bBigOrVC9NLf/cQT16emn964cUh+HhlZLy0/w8N92nabNg2hL677GzcOaus2bx6WnwcH6/D9qJCBgTr66sk9sWGD+7niYiKesbVW91bkb304/s29dJ0JN8fnWvJz1nOgKnQVLD/yyCM455xz8LGPfQxbt27V1h08eBD33nsvfu/3fg9A1DVaq5U73LFjMyuSi29kZD3GxhanO/X48Vn5eXRUL3NsbBqzs5E1ZW62aT3m5NS8tj1jyRvZ8eOzmG8G2nrB3FwTnMNa5vx8K7X82LEZBI0W5uejCjw708j9GzTiQH1iYg5jY32Z21aRxbzORGfY/v5imXrvmBwdm0F/ny+/T0wm98mRI1NaYABEKRzzrvX4ZPJia24rvrfb0f02Pj6Hsf7k+AtxIDE1tUB1agXotXt5bGwKjZbezXhMqe9jY9Py2Tc7o9sXJybn0GxG9U19PgDA0aOJZ35mtoFWnLp0fr6JoGW/X4r+3cbHo/ujyL20FLSabdT7aj11nQk3x4+729uVuJ89j2UKtB3bMA4dOoQPfvCDuOSSS1KBMgAMDAzg4osvxv79+8E5xze/+U38yq/8SqeH61m0bBhIZ68QSnNRF4baBWbmWV5oJiozB3eWaZ/dr9jxVXrNc0T0FtmTkri7sIMw7Qct5lkuXp/N49MYV6IMVhuGy7OcUY5Z7dQyeZhRpwtU9Utv3IFHXxjL35AgOqDX4oeOleXLLrsMjUYDF154oVz2rne9C7fffjvOOeccvOENb8AnP/lJfOADH0Cr1cKb3/xm/NEf/dGinHQv0TayYZiNl/jq9FRaBneoOZHV4v70M3cZ+znS0ZUIQlz73/zgfkzH3Si9NqqV6H2yxsnaguVCYwKKVGOWf3yCyIMD4KH5LLB7lq37O1ZqqeO4kTpOHeBXoLI/8MwRPPDMEXz1/F/UltN7IbEY9Frc0HGwfMEFF+CCCy5ILX/3u98tP59xxhk444wzOj3EqkDNhqE2XibO6a7N7ZQNrdk1lP2Klmk9n4zg4oX9E7jqjhcLlEIQnVOmLdUmYwhCdJIMsYzjq9dUEaJi8HR9S01r7RjhF+kl9h5JnsqGkUTL2li/nOpL9ZtYatZMnmWiGPqkJOXUA5MfPLQfMGwYnXi6rdNdixzMBfZXZyUU50EQy0lWNgzb+mJllrBhGFltyIZBqLSDEK124FwfpY7Ly4ZRvE22lcFDY18tG0Z2qdELp07SC1rihAjCQa8pyxQsLzHmDH7p4DbHs6xsfuVtO9E2GjHnXAzcXWaP1VFijZLdVewONDgvF2DYS0zTDkI040FZzpkz6d4iAJz3pXvx/kt+6Fxv9yybG+Ufx3ycaKnjlIDczMifV0/FwED9dMROFC0T3dNrvRcULC8x6ht6pCzr6+V353TX7gqldbOV2C+rpeykGeytKk+sBlKvnOa08ksQLf+frz+Mw/EIbvO+o/CBUJmYaQIAjk7MO7fJCnQBxYWRMuCrK40ylBiXm9599YXSeVYRrbj3UEvBSA09sYj0WKxMwfJSo02WELqDWxe2djJrvVyOxHf8v7aepq3Lcm50VH97rdYTPUFWtUrNfqYObIJt6uD8Opo36GnfkSQtV6/57YiV4bwv35fqDQQclrwSVqIkVnbXc21SkpRIk12B27GyXPPTr4FkwyAWA7JhEBopG4YjG0bhWfCU7bKUZbVxfOOpJxjHtHmWCx7fOAfjUASxLGT6PTtshMvs1lGPDrEmCQKOb936Ag6MzihL05a81AA/R13SZtDLsmHwxHzBjU1zbRiBCJaTEIFqNrGYpGxHFafrGfyIbFQbRgibDcM92M6GxxgCZYSzS+GKlOXos5nZwppnWc1HVxJqRImloIiyJlADjbHJBU0FXozj5W5LahvhYHymgVsfPoCHnh2VyzhsvSN2ISWdBjFZmAqvjUF8rnfIospyvZbW06iqE4tBrynLFCwvMXnKskANaIsqALauPMFJc7swwuyjsXutkhJrk2zfvfFVuc8+feXj6c0LVPky90WvDU4hVg6pIGtpPy0D/FzBckbZWeJLqExKEv1XxrMcBcu+51axCaIbXG3oSszaXASyYSwxZuo4VyrN/IW2zdx5m/+vsavw4f5rAFhycRY4ZqmAupp1m1gBHnthDJ/614cWJ5gsoSznHa/I2ZQ5Y3rhJIriStWZCnTD9DbxJ2fZaTuScQxtW/WL+3yBJBuGTVkmaZlYDGxN6Mx8C3/62R/iqV1Hl/+EciBleYlRJyXhnKcGcYhGS5tsJGOmpVSKLEuN84yEckUHBSqnk7lNqjyKlomYL17/NIKQo90O0Vf3uyors1blqHIdHa+Ustz14Yg1gk0p45blrmwYNlzr9AF+akDOoeXoz2mz7Z5lqvTE4mFrs2cXWmi2QhydmMfJG/pX4KzckLK8xKjTXYeWrjc5E5Mx2YiygYan2jUs6gQADLOGscT0LNsb76zvmVAbSsSkByktDSllOW+wyCIrwamXXrliUQ9DrAJEm6+1wjxPCNFFEROXRUPdNlTEFG5sm3c7JNkwbJ5lkpaJ7rEKHBVuPylYXmJMz7Izz7IDc3W/otbZfG8AsN5b0L6bNgzbcz7d6BavtRWu30Qvk+PXV1kcZbn4tuY9RAEE4UL0LprjUrImISlaFVPp53jG80YLpLOP0A7SqePIeUSUZXRiHhdf8RjmG+3UuqxYuYqtKQXLS4xqwwjDrAF+yedsmwTHCRsG4s/2bdcxPRF+yrNcJOdsGcsyNaKEgVklFprtwgM31FnHipJXdiHPcpkXRGfqOILQsSto6bSfuvLrrklZeY61fONqXn9TyS7oWbYpy5WMZIhKcu0Pd+HZl8bxhMWDbLUnifpawWTeFCwvMUFon8FPVAVrF13mrH2A54ny7HmWhbLc5n5cdoHSHfYQG9WrxkTV+dPP3IWvfv/ZQtu6Umbp2xhd2IsSLBfYSBwvlc+r+L7E2sLpWc6ocK6Ub1nbRd8d9g3O8bqp+zEUW/TyqrrwLFsH+BFESWw9b2XGRVUBuhOWGM2GgURZNnMfq29S5ohmFc653NfV4K5jUbDcFOM3yyjLWqohB6m3PtLTCANLlbj36cOFdu3EUrEoNowS9Zh6U4ii2Hz8qnCSLLMHurZ6maSEM58PyeeQc/ksOam5D2+cvgv/Y+h+634mwrOspo4T+1QxkCGqSVHBoxdScVKwvMTo2TCUBke0OLY6khPLymDZMcBvyGtGx44vb5FsGF15lqtfz4llppuR84myXEx5AwpkpyhwOuWsR1TpiWIIZTk1dsSc3jrjm7Ymw00h6qXvMe154/EWAGCAtVNl2GjFzy2alIRYDGyuCm22yVAX6SrowqBgealRVYWQ81TDKQ3tztRxOpzzZGpsbn8jqyGajKQe/1/Is8y1/8oFDsU3JdYInAOfvvIx7Nh7vIN9C3jqzUwCuTaMxfXp94ISQlQDu7JssdBpqrB9ebog/avYz/NYPN11hKnN5N1jrXb07NBSx1GVJ0qSWXUNf71KFQdMU7C8xKjTXWueZSNaVqtGVuo4TVk2t43x4p3qaOvHspXvoFS7SI0oYdBqh9ixdxx7D02V3reYZ1n/vtx5lilwIIpin5QkZ4KqDPVY7B+tS9v0gEhZ1gb4ybKSZ0cW7VhZ1rJhiA9VlP2IauKyncJuw6hys0rB8hLjmu46iZWzK4m5PFSUZc45mq30lNYeixtMFoKHlpQtBY5TLnVclas4sVxonku5rLxloUjgq71P8hA/OrsjNRmPc4fON5GY50jhA+FCpo5TlkWzr1qUkJhOB/+Jr5ENgydijBGM5N1iInUcK5qmiSAsZNUYPXOL2MGiHlYECpaXGHO666QuGG/4GQ2giu5ZBprtdIDgq0FDu7noqeMqWI+JCtBWelGSgfqGlWMAACAASURBVKKdv0pl7qdU0PbO+/Cz49/FLww801lZHeC6P8jLTJgkga/mtSs+Y18qINafKdo6VVlW1OuyYohIHWfzR1P7T5TFVmfCjJfDKnZeULC8xKg2DLVbTCrL1sbMHTn3oSVn8eMcdmVZCZZ5u5ny/1gnJTGyYJR66FN8QABotJR6Z/zvwjqbZAEfhqYsL8wAADZ68/aNC1LGykGeZaIo7tRxxjKt2Vd7aez729aJeun7nuGL1kPdvNqbiDzp3qIy3P3kQex6ebKDPYnVjjoLqhzgt1InUwAKlpeYIORykIRuw0jJvclHdbHy+Uf8cfz95iuxBePxOi4VABWfKXu1GuVSxwlbCMXKRElCoxdF/p/VU2Irx6GGOXdk4r9iXdelTqZgeVVUQohqYB3gB7inTIdpM7LtbL9JxGKPMf2FrqQNI8urV6auf+37z+FvvvFI8R2ISvP07mP45xt3FN8ho55pNgyjPtMAvzVIO+So16ILH0IZrSyHJ0cLwnS7lvq82ZuFxzjWY06ua7bSwXJaWdbJCpYLBSqp8kpsTKxa9Ae8asMoFy1z48GeuxtbnGasTG+KK/sG3QqEiTV1HE/P5uqcUCQDl73C91k8iDD6vluqu0aXprPctGhCY1OIz1z1BO5/5kjh7WV/hiX2zbITVTBWpmB5qQkCXVnmsuG0d4dxSyMqECnhfBbE2wLNdtqGoXqWeXOuUDYM035RbrrV6Jwfe2GMPJtrGceo/8xdbF3MBTwcej1j8b+Fw+sOt3AdPzkHgjBxKsumKqx+zrEgudaK3UQ2jNSGceOdl5fcegtS007EFH3OZwpzjvuiqlCwvMQEYagEy26fmggaLr1xB/7s89utZdVYPKsSSwJamw3DU9/Y5qPUXc7UdAYF7KLWfX742Mv4x2ufwvanDhXfkVhV2LqOG60Al3//Ofc+DmU5nDyCV93yF/jJ2sH8A8eV28toaovU57J13r6ieBnE2sAWLNsG+LmGqlhtGHKdvtJfGMcQW4gH+Kl5lktWTPspEwQAu8hnpoL73n17MbcgsnFlT3dtinRVlB4oWF5igpCjrirLcWVIZhHVu7sefHZU21+tgGKSEZ8nAXLDMsDPZyFm+UC0fxws6wOx3W90SRd4uabx+HQDADAx0yy1H7F6sHXZbn/yEO4pOM21IORAMLYHAPBf+l/MPdZiNa2lbBjUg0IUxKUsZ9owCpZtVsOfeuwifHLTd6JJSVQdxZgEK6+u89SH5Fi2nLnE2kKtP+0gxP/6+ztw7V275bIde47jmh/uxvP7J5xlZLWhVaxiFCwvAi8dnrZmpQBiG0Y8ZWioqAlq+rfo//zmsRbbL4TCHGYoyzMYirrrpLKsJJe3HSqVDSO9yexCC4eOzVrPTTakub+CWK1wPVqO/ysfVHLOwWr9AIB+ls4TDgA79h5P6iITNoyMMgsdt8w5OlbQDUAYWLubOQc3mm6XDSM18YiyxPbcqLMQvuchUKJlpmjMQP7Lnl00ce/zycsfwn07yr0UE72LWn1EDHLrIwfkMi2NKBye5cwqWL2GlILlLpmabeKvL38IX9tm72qObBgiMObK23n0f97zWV0vlWUl24Utz7KHEC3uYx4D4POT2vGA7IbSHJWq8qnLH8bHv/JA5jlW8Y2QWH6Sh3nOdlYbBoB6FCz3OYLlK27dqdTFAp7lIjaM/E2Uc3RsTYIzYSCCVnN+j7SybP9szXjhbqYBKJ5lk4INtG3cQNa9vPfwNL7y7+4858TqQm3/kjS4yjIj2LXVOtuA1ip32FGw3CULzehh7solGYQcdaEsh2llWTRGzgEXynKhLIsBfCG3z+DnsxABGGYxmNgwHGWai7g8n/RGoxP2PLa5GQ+INYFFWC7Q+Nm6qDng1wG4g2UNGQB0WQe7sGHQSyLhIpnBT586OnuWvjybhN4TaOJ5TLN/mH7+vAF+9vuSICLU+sNMj0+0sEAZ7t6TKranFCx3S85VDQK7Z9mc7trV6mnKchwse7ENAxxOG0bIPcxiCKGwYTDVhpHRSMttsn4VQaTRUwEV8767M7NEK/rRAgD84sDT+LtNV9gLieu2l3ErFnmZyw8g8rel24YwsQ/w46m676qjWXXKFXCLAX6CJFgumDrOolybzy5zObF2sE4mpXxONcV5NgyjuArGyhQsLzXapCRI5kA338aKNDcidVxNURWsA/wQos0ZZjEMPhtNYKLbMCyFc6D55Da8d/QSMJRTitVuQWINY2n88lPHWZZxLncUyvJ/H3oUQ17LarVgi2TDKIM5oURW495oBpiao4Gva5WiA/zUOhraumnEV1WRc7y1+Q5l2eKusGIVTeLPqbz9OWURqw9XFiOB+UJlm2TEnjquurWJguUlRk8dZ1OWYXwwUCqgGNjHYhuGawY/j3EEYJhi68Bnx8HDwEgdZ2+8Gw9cHe2PsLSyLHWLKvafEMuCTSjIVZ1cynI8+skc4FeHxZbhqHMf3XgD/nLjtdnH147LM7+rlMmGcf323fj0lY8X3p5YXQSJQpLA0wEHd36xkGPf85kejMjeSDHdddFoucgpVTe+IZYI2wDUvDplBsdZtr0qxhEULHdJ3iXVs2EkE454RjYM18NXs2FA9yxzbh/g5yNEwD1MYT3AQ/C5CT11nLNSx93Z4KUaQPVtsHpVnFgubF22+bFyeoNQUZb7WWTDaPHoHhqIv2tlcPESqZd1sj+JE/2Z1Lm5zyX7u37M4itm5lqYmU+fN7E2SDzLCVEvo/vlLNS2LR+N1r1AD5YNWTjXE20Z4ScXmZNcUbS85rDNOKxWKTPYvfK2nfh/L7ojlYtZlmEeoIKBBAXLi4St7QnDqBmp+0lgnM6GUbyhkQP8mBIsW2wYHjgCHinLABDOHDMGl1iUZc4T7ydChBnnlXrrIxsGAVhvgo6zYcQBcD2u6y1eA+BIJSeyDRQ/UyvPvjRunMfiKMt5ZRGrm8B6X/DsOpERSDz03Ch2HZyS5dgYYG3HAL9iyrLdruEQdKhqrznsvdNu0UwkB1D30q1G8eegJe2mVYOC5S7JekCL7je7DcPMs2wvQ10ulGVPsWHY/HBRNoxYWQbAp48WU5bjc/JZevCJfk7pJpQbygWx9tCVZbGs/JNU9SwLmvABAH0WZRkOZVkvM/+4O/YcL7xPmQCB3iXXNtYUbnDP5goA/d/9GN4zHM/kamx3+6MvK2W4guWmESyLZ0bUQD+561jmObsH3lITT2TXDwDuSmKJj9XFJ9z8Ufz95isqWccoWF5C2nH3m7BhcJ40kGZuwiJBhZk6zpk2CCFCzjDLhqPt5qcKTnfNkvKzVLVUK6+WUMVqTiwLGR405y5OZVlfIZTlAZuyzNN5bDNPrgNy/czi5de6b9eHJ3oYYcOAlpEou0558xN4a/9u5KF1fSuVrB9Nw7Osn8NLR6bzStb+yz4HqtxrDVuOZBVXHGDLmBSviPYLmqixkDzLq5t0jRFv9iJ1XBjyVJ5l0aA5lWWl3BrSeZZteOAI4KGNKFctbzdyU8dxDsWGwTPTaKVjZWosCbtnudxeEVG91r34TWnDcCvLZi7Zbsn6Cc4xBs4eIrpH1iqBwyaUNSmJtjyjbC3AVu6ZfrQy8yznYbNhyM+p1HGliiZWAXoMYI2Wrah1pUyqzipQW+kT6HkyXoBksFxLUseJVD+Jslz8UDLPco6y7CNECAbueQCvAa2GdprOSirz1YbIaqJtgQI1mIRNKcjdx1oOUhWqJW0YnSnLnVVPbvkUfy9VIL1OrmXsqePSVjenDz6jsqmr1IC4xvSXzSSQLqjYWXt8HC+IxUokVhF6Now0RWpZXhlVg4LlRcJ2sYNA9yxH2TCidaIyiQbSPbo++VgzgmWXF85jHAH3oq6Qen+sLCtFuk3LAOJgO6P2mo2/PgrWvR+xuukgVi6oxPJEWYYlG0ZcHzO7yTpojYsoy/ONNv768ocwPFDXlpuHppfJtYs1WObZqbSKcv32PfKzqizXGMf/GLofM3wA2+ZPh9+psmw5qVQXO9XtNUdeXXVallVlWan/Zj2rYhxBNoySzDfa2PbAS4VGw4tGsqZlw9BtGMkAv/y39nTqOPs+kbLsAQxgtX7wVsEJERQbRmYmgF7rPyGWhc5sGBGRxSjaR00dB0T1vsUjZdnuWRYzWy6yDcP5RYrZeGH/BEbH57Hn0JR1O7k9RctrFpk6zhhkbRsobaNozfGV+u8xjp8feAG/Nvhk/L2Ir189v+K9h9RvsvbI8yxn7FlovyqOfaJguSTfvn0nrr5jF5548SiA7ItqepY5Vz3L0TZSWXaUoVZKc1ISV8zqxTYMBoDV+oB2A/+1/hT+n+EfasfUjgOuZMMIM1tomyJCI6WJTqQxzjkGWROf3vJN/PLA00kxXFXJAqksZ2XDyGJ6ronx6Ubpc5OfjRvClVrRGhTzjv40RAU5Mj6HdpBf31RcNox0NgxXnSp2HFNZ1tfFz52Cga29GqeD/jLnR6we8u4A1wC9RBwM8erZJ3MtpVWCguWSzDUiFcucOc92saUNw5oNw8h3WaCymAP8nMqysGEwSBvGr9cfwpv7X3KeK+dJ4O/l2DBSA1OgTI9dxf4TYlnQleXi+2zxopH5b+rbG++bVpbDuG5m5VlWleVX+npqrKm5Fj7yT/cUOylxbhm/gTuqu20X7lhO9BYz8y189NL78Y2bny+1XxhaQgubstxlJVE9ywymZ5mntskisWFYFhJrHl1Ztlh1XAP84v9bz92Ft05swzsGntWWJwV0f46LDXmWuyQrNgxCjj605BS9IVfyLMfbiO9FbB3JAD99Hwa9sgllGWBgtX6glVbUOOfptz+hLOc83rNSxxFrmE7qAQcGY7V4nvdFiwxluc4CqYhlZcPwpXoW4tyN3+vgZDJO0/htyT3AMrdT1izq+RDLx+jEPE7cMIC5hajumZPX5GFXlm3ZMLozYvjKoD7fDJZZ+oUyE0uPZ9Hxh0/uOoofOWEYI5sGix2L6DnENb/6zhexfrCv/P4LkUAyzOy9fayCUjMFyyUp88IThBwXb7kCrSc3APht8JArilScOi6nUqira+akJEpZakPrx6njpLK8MKOsCxDAj5Rkx4/xciYlsZ5z9eo2scyoVaDoDHccwBCLPPULXB0kpyjLLJB11aqMxccSgcAGNl/qvJ3nlqksO7rMLefHeXYqRqK6HJtcwPlfvg+//l9ehf/6n/4DAMDzysle7fji/9/8euwfWocr594GcGChoc9U1kEyDA313jDvk8SGUQy5t8WKlC5DP9Y/XP0kaj7DP5/7zoJHI3oN0f5tu3+fdb0zT7LRZSF6DNNqhKUHcYUhG8YSErSjxrDejAb/hBldb0UaxERZjv4PjTR0QORJ8xhHyKNLayrLA7EyZx2UIZXlMDPYSWXDQHIPVLD3hFhEHn5uFGddeDtmFyxZKTpRAzjHQBwsJ8qyacNoK93Iti5toSxH/5/gz6S36Qj373HZMLoepUVUiun5qG7u2HtctrdeSauZ2O+VOIyfG3gRADA6MYdbHzmgbyd7CjurLHqw3J0NI+OdNIXtRVBMyEWsTjp9+ZdxB9dnlDSLY5yC5VVDkbiATR3S97Hk1sybwU99r5fKMtc9y2rbLRrJQDiQa/3gzTm5XgbLqfMAwDytDBeZ2TAoWl7VbHsgUhIOH5vL3K5M3DyUCpb1AlQbhm/pRuYiWI67mjd7s8UPnkFWF7TrZdI9WUmy/P2X3Ikb79nT7ekRy4AIjNUJpfySynJgCRwnZtIZikQVMdvforeSup/nyLNsepldZA08r+LsasTykieMOIVlQ1nmXCjL+nZeQMFyz/LkrqPYsfd4RiVIVx5v6iAAIPSTIEANfoHkDc1tV0sUAU92RZsjSJOTkn5mkTqu3g8+NyHXD8aBSTptkWLjYHkD/MxT5MVbdADP7xvHWRfejkPHFieoIZaPzIk/lDqQlU7KTEY/6NmUZcWzjCBbGQt1L/8Wz60sl8lk0IkNQzAznyjv5u3Raoe4/m4KlnsBERiHXO3JKxksF5ThQu6o4wXbVi11nBEUi3W2B/5tjxzAWRfejkYrSK9U72mnTYRU5LVA5+nibIXFGb0cyjICy9iUFYaC5YL8w9VP4tNXPi6/i2Ags9I0I+9kWB+Kt03nL5ZKFHdPaAAkOZaBRFmWjatVWY4nJanp5nuhLFvbb6ks88wflkodhyw/W5oHnh0FADxXcqAMUR1stUMLkLMCTfUzT+pkmyszXToG+BWxYaz3FpzHtgYEFg4fn8Odj73sOGvFhmGeCgce2zmGcz53N57fNy73pICiNxH+5EAZb2IKyy/sn8DND9q9m9G+6TrbtNRD7giWi+Yx1pRlI52ivH8sPTPfu28vAGDWeMFLnV9u7yexmlFf+vLas1z/vdFzkSovrF6wTAP8uiSzIWvHD+1YWVZjzMSrnNgwbN11AjF7H6B4lsUDW1E6RFd0yJmclERlwKEsqz/DQ5g9wI+yYaxZ1DjhyPgcNgz1YbA/aka4pX5bMdb9aJzmjamrNRuG4lm2jeYX3eNMD5ptNFshhgcyzi3mU//6MOYb7q7ALLvF8/uinpw9h6bxk6/arJ4i0WMIZTkIknEc5gC/C7/5KADgjLe+ylqGTVk2U48Cig2DFe/9UFGDbPMe8KUNI30uWYo5d34psJxYVajxSeftmQh8dM+yiUcD/FYRReJFMbDOE8EET3nB1AF+NgVCbFhXgmXR4Nk8yyJ9Vqh4llUGHZ5ltSAfPHOAX5YCTn62tcNHL70fF33rMeu6wrN6je7EqfWop0E+7CMpVm5SQwgWB8nWQFjkWZYBgZuiyrIZKDeu/ijeO3x3ckhZ4fX9rL+aIuWeJ+RcBr1ls2HYxniIYHl4INGrxFad2zBUZVmvv1mTkth+lxRxDMsUUCy3OLH6UOOTotmOTEwlOXS01oyC5d5HTiYiFmTVmaAZ7xNvytPbi4aUw96o2m0YZjaMtGc5smEAzPO18hJl2XIcYcPIUTZsNoxOoEa2h4kv3ktHppNFBZVlLZBWBp+KgJhDv1H6VGXZOkxfV5SzBjE1msWC5dQhpkfxM/17ku9OZdmyDJ0/XIiVRVy2MEwsdGWzYdiU5WZbn7AqOpb9hbBozdFm8DO6sRlz3z8yWFan4y54zGhjqttrgXYJZTm/fRRtvTE5m6CCnmWyYZREtifmxbXUDdZuxPvEb1GK702KaIrE3M4YCFLTlOUMz7Jmw2BAKlh2pI5Tvvrg2HV4Go1WgP66vr963GRfXqp1Je25h8ka4FewEmhBtaJWSNWLA+YAvyzPsvA3Z1o1YoSy3K2HWL6oGn+QF/ZP2CetoHiiJxGXLQi5kjquXBm2FyWhLNf9dLDcaeo4X9nP4y1jXb4NIw93bnFiLVDGs5xLmG3DIGV5NVCiC8qLlWXwEB5j0KaFFvsrtgybZ1msF2njWtxTUsdZjqlkw2BAKliusYy52GNl2UeI8ekGvvb9Z62/yz7ALy6CIuE1gTUw1pTlgo0ptwx0igqQ32sskLedLXVcoizrWTFs2AZWdYLr57kCZQooehPZXawGyyWjZW61YUT18ER/Bn3QB12bdbzoraT2CPpGsJz1IhkovZsCaRdU72nHcUlYXhuoNox8Zdm1XFcLReo483nCKjjAj4LlLskMlsMkWGYsFmCleBY3wlJh5nbPcozwLDd4vZANIwQDY2kbRl0ODjQDXi4jXdHo7jk0ZT2X1KQkytcijxFqW3sXU0lVUa9rdto15YtS5z0oD2gjG4ZQlK3ZMEJdNcsKlhstoWh0RxllJek8oprfqwQhtw6oLoJNuBXK8gfwLfzp+lsBJPUjXceL1RttgF9Y3LMsxQ/tBrYcwPH79ZRiVMdXLcqlzZ15OG+5TB3noII2DAqWOySlEFu2SZRlDsYYQm6zYSQBgs3bJrYXyvICr4PFn9c1RvHT9X3W1HHSOJ9SlgPnCUv1Li6j5turx2L5L0mE7l2sVaCACgUAfG4SdbTjciw2DHDtAAOsJetKlmc5KyAQSGW5215E2ZVSfB+KI3oP1bPsyoaRX4Z54Tla7QBv638BAPBj9THtWIVn2TPQU8cZyjJz2zCMR1Lqc9ayTrYhehM1sM19KXJKy/p6p2d5cFPp81tqKFguSaqZzKg0LFaWGQ/hCWXZaE7U7BhZqePqcWO3oCjL7zz4Lzh7/Z2a90F0s8mZcRzKsnXabTXPMtIzVYlvVgGcIoG1QVHPckZ9aFz55/hArKZBC5aVXeP9Z8J+DLFGMkDJNviU66pzOthIvhfNhpFHKWVZSQ9J9Bbi2ume5e6U5RpC/IfmbvzB8P3WY/lGHVd3f0vfbpxe32s9jupZ9kO7DSPTD20Zocsty2y5xa0nS6wutB6EnE3zljtSx3Ew3Dz/BoQnvbazc1xCKFjukLRYkK4evqEsc0VZNl6worRyGdkwVGXZM3yeatstBxOCRd1lSrDc5p5Ulu2TkkT/iYDbN5Rl0f2WsnBwJQwg0/KapYi/USDSxYnZ9wAlJSKSh/QMH8A61khe4DKV5fh/w5epBs+i+7vbwJU7Agdtm9T4hK4OSawA4pJ1M9212V7WWQA/HvytHUvYHDIGX79v3Xb80fq7rMdRXyQ9R7CcpVrnxbzudIlc2YYq+WpFqx8d2jC0XLlQZvDjUZkM3JlObqWhYLk05ptQxpZB2rMMva5oBdkbmmiZCHIXeB8YD7SY1HN4lqMFSbDc4DWnsiz2BhIbRj0VLEf/Z6WOq2Y1JxaLotfXqSykXrQUZVkEuRwQnX4z4QCGvEZ2NgzDs2wGG+r3VpAxwFXbx0V8f/G87Sx7UhzReyhVMhkjUrIIo72sIUDb0j3nnO66IOp+6WDZbcOQ52npGMo7k2OTCzjvS/eVOk+iN1HrR2fT5qjKshlD8MTHzL1Kam4ULHdLRmviawP8Is9y6PA6Kz3P+vp4Wd1Qll0DreQgKXipAX4LvC6D7nT2N54M8ItvBZeCwtoNnLvh3/HKeOY1w2JKrAFsL1u8iLRs9oqEFhuGUqFmeD/WsYXswXsWG8bRYB2mwgH5fbM3AwBoW2ZOs+JorG0vm/9t8GF8bsvXnUWZuUWJ3kG9YiLmLT0piXGv1FigWe5CnqhrQLE8y/9t8JHUsqxgWbyIFk1Ll3V/q7/+8ReP5u5HrA5KDeR0rE6EZdFWK9sr1oysgeQrBQXLJXG98Vh1WqEsg0ee5VDdUJeY8+peTcmGESnLyQ4nsgn8TN8u1JR8tHIGPyVYbvK6zKph7YaOf5vo6q75hmc5/vGb5vfhlbVx/ObQo8ov6UBqI3oO6VvPeLEDMmwOgR4s2wf4JYXNhAMYUmwY9umu08ryHO/HHQuvBwC8rX8n/r9N1+JV/lGpLOfhaqz7mZ7mCwB+afCZQmUUTGdLVAg1KOjUs2y27XUECBT7UTt+DCeTnpi9L+mK80uDO1LLRJDd5l46WJb/ZynLtgBZ+WzZJzWbX8E6PrvQwt/+2yMYnZgvtgNRKfJj5bwNLHVdBsvVhILlDinSTSVHJPPEJ5nqhpb/p3Mwq8epMzUbhp6L83f9O/DedffgTX17ZeWzTUqygJr0PtsdH6ICx8qyw4Yhfw/39JNEdqx86NgsDozNZGxB9ArWB6u23rGjkdLqBw+8FC3m9klJpvkAhryWfFm0TnetZMNg4PBi31sYN29v7NsHANjozaFd1IZhGQcAAH+24ab4fNMFmIGIeT8/8eJRex5morJoXc8dZsMIQ67VjRoL4CmpsUQ9FVtY0yNaMGeqFG1/m9VSeWoLDfBTyMx2wxjCkOO8L92Lh58bzd/PwuHjc3jxwCQOjNLzoFdQX/Y7V5ZFGy/GlyibKz7mKtowaAa/kriuoc3WwIRqFtswOHTbhfYh7nl+a9+LeEPfflw28854cazyIsmGAegDnUQAfIo/juPhung/oSwnl7jB6xiU0127FTpX6jhmbFfWiP/xrzwAAPiFN50ifjLRazC9y1ijwGhpbuTPDIIoeJaT6EBvOGdiK8UwiwZEWW0YxiyAHuPgnMlz2OBFU2rP8z45wK8MavAy4kfTe8v7RxsvECJAesZLse2Xb0irgUTv0OkMfhx6va0j0CYNCQwbhrptVtBQR4CmoneJetqGjz4lWPYYK5SD3KYiqy986p5zjTaOTi7g6OSCXkbBVl3Yoci20Tt44/vwKv8o9gUn5vaS5V9V415SBJIQXiV7qElZ7hLnzW6MlkgmJdEladG4iK3fs+5evLFvf6oYP1bWmjwKfuvK9NciWP6R2rhmwwADmJdc4iavoQ67ssY5ZNCRZ8MQA6rkSFalvCIJ+yt4HxAlsfaCZHyThIZnOd4ugJdkw4gbTg6GBd4HABj2opc8q+qmWDlqCOWIalE/N3jz8b5cKstlXtVsAYbttq85FEEKB3oXW6aHssoygJSyXFOC2cC0YSjb+l7y0meqwuozAEja7QA1zYbhecWUZWvqR0t3UWYGmIKVvehAW6I69O+4Ef996GEA+S85uWGRiDVEqlvwZApsXkXHMgXL5ZHdBnmvVkpDxuPHtpI6Tq4SbZJlXXwgANGDOOBM+tt8T5nhLJ4u9Uf8CW1SEgbdhtHivmxg0zP4Jb9J2jDMh4KRaDlp5CkgWGs8+eKx1LJCNozAPrNYwD2lgYy6WThjaHFdqbV5llXfs8cSG4bI4TnA2vG6EK22EpAXxBagJ7OeKYENW5wczkR1sGWIKOtZBgxlmQXoY8l9EPCkHQX0PMuel4S3QhRRy9GOwRJlWV/OCuZZtn60LnMFS4WD5bbIfEBPjl6BBS1ZN/Mvm6N+GH3r0obBk3acUsetElgSLWcjAkrOYmWZaQqsuXsUcNrUOqE2hGjDlw1hXQka+uJBRxu9eaz3om4x6ftRg2X4yQx+Gecsc9oaNoykyyR5AyTWJrc+ciC9MOdhCwDcFSwryvLo+Dx27D0GgKFlDYohkQAAIABJREFUPPg3evN4z/B2o1BFWfY4PISxe1mvnzWEirKcjRoPCfUj4CzufkznSxfl6+dV6FBEhdE8yzJ1XHfK8iBrasGyaNNtqePUwFzdB0gyswjkAD/DXel5LMmGoQyGNYNvlQxhOeolde/pXKPSDsq/tBIrDE/C2E6V5SRWNmwYcfmAMkdExaBguUOMay7ZeWACn/rXh9FqRQFsAC+qBCxWj2VXM0dr76P4kPct+Ahin6blOEJZZpGyLFQI9cHchzbGgvUAgFf6xwFEuQoBGJOS+LKBDTnQPrAD/7F2KDlQjmc5kdVNG0YiLVevihOLSdFJOFyN6eTUrLaHUMOiZIjRPlffuQsvHZoCR1pZBoC39u82DqwEF+BgTLdhCHyEyqQkxRHnNcMH4DHg9B/fLH+fWo4585rl9Igew2bDKDspCaD3iAyxJvqgKMvQlWW1J8MXU78irSSnbRiOYFnxLIv/f3PwUXx6yzfhKwGzFhhLn6CrP92+uGjGl1bb3sNJrDxP7jqGXQcn0yt4qFvlMsiLlc0BfmqhpCyvFlyp4+IL/fWbn8eeQ1MYOx7ndeU+WPxGFnU1JPs07vk3bGIzkRrMdV3ZrJR+PHhI2DBqxoN5f/sEAMAptThYjk+UKQP8VGWZc47571+MD264Rf0R0bHismuO6a6F71Qc4+DRWWx/6lDm34dYA3DHZ4V/vuFJ+bmOILJMcBb51JSAwgOPgmXLgLkUygA/X9gwOJP5a2WZTFGWc5/Ryb4iCBGDa/tYkDzklXJSyjLdC72Pcn2DDlPHAbpaPMQamkqc5Fm2KMsewxnjV+D9625NKcl16Eqzz0KEnCFghg3DS9swfrb/RQCJnx8wbgmbcKO+DFt/ZXESZZmC5arxD1c/gb/5ejqPN8JASR3a2XVLgmW9rnPO8Y/feTz+XM2Gs6tg+Qtf+AK2bt2KrVu34qKLLkqtf/bZZ3HmmWfijDPOwMc//nG0221LKb2Ns8qE4i0/+hN7cdeVVsfiwXee6NZV1gl1QTRQUbDsWZVlABgPh9HgNZwYT76QZMPQlWVX6rhI2daVZT81wE9srAfL9zx12PoneOnwNOYWVt81X8tkxQkFYmUErWTgUR9rK2ne9EEdjHGnspw+sGLDiIPlPBtGmemuhSooB9d6gTbWQOBUlsmP0bNYbRgdPDWZFizrNozUAD+mB8sntQ/i9X0HUTdtGBZlOYQHjrR9zlSW5+OBsxuVYFnLZmP8n/riCJaKBlGyh4dujd6BB4WVZbe0LPZPK8v7j0wBqG7quI6D5XvvvRfbt2/Hddddh+uvvx47duzALbfcom1z7rnn4hOf+ARuvvlmcM5x1VVXdX3CK03qGjq7qUSC+Ohh77HIqsC1yhaV5sfz+qkPVakuCGWZhQi4J1NT1Tz9wdyOA2kxyEj6fowBfjUWhSb6Gz3Xg2UmKrI9G4YX58o1lTuTv778IXz6249nbkOsHmyDoUzUbt9+JViGYsMAojuDg8n7J/vASZkeS2fDSI4dFp+URNlVvLg2YmW5hkRZ1mwYpgfUGnEQvYRmw1gsZdnTlWXxUidnCDRtGDEn+VNamalgmUWCSqhE8yEHmEVZFsHyJpbYomyxsC2d3NjEAqbm9BSQ1kIyoAF+PYjSg5frWc6rCMaLIefJPSKTE1SMjoPlkZERnH/++ejr60O9Xsepp56KgwcPyvUvv/wyFhYWcPrppwMAzjzzTNx0003dn3GvwPWMEZF6zPXGJG7U6ixIZcOQyrJiw2jDQ5vbbRht7iMEk4qzDGSNAX5ApLCpx+oX3XnxQqk+O36ax5PcuCZmJd9zaCq1DdGbPL9vHM/tm3CuN1/AbKj1doC14LEQwgmnKcvgAGNoFUgFzzUbBuIA3Espyz4L0VayYbyt/wW8sf6StUx1T9GIN2JlOQqWIcuRv63gZBJE76Apy4uUOs5UlpO2XvQiKqKJEpi/xtenlk7ZMOLeR7XeB/Dge2nP8pwIluMc5NEJqKWl719xfnsOTeGvvvqg9XcWnRKZUsf1ICU8y67gIbFhpCclkZaMCgbKQBeTkrz2ta+Vn/fu3Ytt27bhiiuukMtGR0cxMjIiv4+MjODIkSOljnHCCes6Pb2uGRlZb10+MBCpS+vW9WNkZD3m4ocvYwwjI+vloLiNG/rBkSjLNR/oH6jLbmDfZ6jVfbQQNXp9fTVs2jQkj+PHSvQWbxJDrBEP8PNk8N1nUZZDMPTJ6awZ+vtrOHFkI4R2IM6lztrasTZ489i4YRAsfh8UD/3BwT7t7yB+W91L3gBNNmwYSP3tzO8Dg+JvmN52uVnp4/cSZ114u3W5+BtuGEtUqvUbBq3bqgHlJm829hd7sW1IVZaj8DnPhjEysh7zjKMBDz5C1D0u67FNWQ7jfeYWWviD4fsBAJ+Z/HW8FIxo2766NobT6ntw4/zPpILl4T4Gz4vu941Hk2DDtGEMD0dtRL1u/w1U9xaXpfh7jk435eeBwSjAXB+3/WWObwbLQ6wJduJr0D66X9avWl30QippQes+xC0z5EUT89y78BN428CLVhtGAC+aiCoUxwVqNR+eUMXjYwk7nxosb94yjJGR6Jnr13x5fPG7hob6nb9PsEV5Zqt/D/Nv09cX3UvrHH9LG4fjfei+WR7Mv/MUS8LYdeuz74H1h+0zM27ZHNWxQ3Uf80jmcti4cTA1R0TVrnPXM/jt3LkT73//+3HeeefhNa95jVwehqGW/oPH6dPKcOzYTJLPdBkZGVmPsbFp67pGI+p+mp5ewNjYNI6PRwFCGHKMjU3LYHhqfAbrkXiWEYaYn28hEF7mgEP0CNdZgEajjfHxWYgQQ6gNP7/7n/D6DcM4GGxGAC/xQHO9oQykspzYMJrNNo4dTzxpItD2wXF8fBYnxsvXe/OYnJzHxiDaVwwCnJ1tyL/DzJXn4awaw2dwBngreYCYTE1FfxdVVTD/lgvz0d9wZmbB+XdeDrKuM1Ec8TecnEjq2uTkvHVbNRfxFm/G8CzrNqQQLJUz1nbsoNVCGz58hGA8msFPDBrUjx2i0WhjbGwa841ElfuLjdvw4ePv07b930PfAwD8+/ybZRDcRPSSFzYX0G77GBubxsTEHLbE+5jKsrh/mk27b/+ZnaPYc2gKbz3tFZm/kchnqe7l8fHkBXB6OkrLOT/ftB5rdHTK+YzTs2E0MMSaCDa9Cnsn6lgXRCJSM66T2iQ4XN8PAJ5qvcoeLAtBRdmdgQMhV8qM/hfK9rCXzMB37NgM+uL1rWY8CVaznTwDZhvW36Zy9GgSJI0qfyPz7zU5FR1XPC+K0Gq2Ue+rUZu9TJh/5zBoyzZ6ctJ+3eSzwNH+Hzs+izo4mo04hojjocmJOXmPhHHO/eW+zp7HMgXargb4PfLII/jDP/xDfOQjH8Hv/M7vaOtOPvlkjI2Nye9Hjx7FSSed1M3hKgVPfTA3SHuWORSrBY86HoDEhqHixy5mANjiz6YH+Jk2DHgIuSeX2zzLQmmL1LzkeOvZQqTFGQP8tJ8zNYpXe1GjLmwYvvPHk01zLVIkdZxat7bEyrIYjGd6lgGGZhHPchjIoLrGQucAPx8hRifmsWPP8VQ3otmlnezDU8qyj0Da99RiPMcAPxd/9dUHtSmw5xttXL7tOSw4gmti+VHriciGUTKbGgBV0WUY8hoYYg14/cMImad4NfVtgegBLsapiCnfZ8NI4TXrbE3aMJJ7hiHyLEsbRnzy/XGwbGbYSH6L5dcU8Exo933G5sKGQZ7lHqKEZ9l18eV+cUYt1kM2jI6D5UOHDuGDH/wgLrnkEmzdujW1/pRTTkF/fz8eeSRKQXLDDTfg7W9/e+dnWhn0C+msMrHyK2fcizfW8rPGNaWOdhQaq55lFmq5OM0BfmZAKzzLyXmls2EIH7PHdM9ynbW1VB0y4HYFPFwoIJagukSYTO3kKqPA9RR1q8l9bPZm4CFEgGhKX1WUY/HEIqYH00oYyNyyPuPxAD/PasMAEA861U92o+rd1PYJrAP8kjy0ym8rOd31QlMPVG56YB/ueuIgbnlov2MPYrlRr12Q18sZrw7GD+LsdbfjA+uTAe+JV7gfm7z5qJ72DyOEl/Isq+2qx5gcGzIQTz4lBuelZvBD9IxQB/h5jBue5ahsoSyrk1TlDTlYzOaasmH0IGo2jLxN824V6VlOylNtGFWclKRjG8Zll12GRqOBCy+8UC5717vehdtvvx3nnHMO3vCGN+CSSy7BBRdcgJmZGfzUT/0U3ve+92WU2GPwzK+Jshw3dFEqLGM7ZYBfUwmkgegtSzSOQPSAbsN3D/AzgoqQewDTZ5sSja4cbBgjA+/4nAdq6UBAO+34RcCaKosb/1sLyFhH9Czas9Zx/etxnTkarMcmbw5j4YbYLsGwaagGxL24HgM4i5ZzrwYWOkbfA+BhgDYitc1DerprgSu1GxAFy0fDDanlfqxUA+oAv7Y9dZwrWC4YEIhbdQWcZ4QL5eIFQfaF4fEjf+7qj+Gn+/R1og7N8zrWI7IgeAPD4PDkDJHJdNp6D0vIPIAnarB4aeszZ/BjHAEYFpg+XsCL+1mASJh5Q30f+hHdT33MNSlJ6ucXipZVgSVLOGlblOXHXhjDj5w4jJO3DLl2I1YQxkMwps82aeP41AK+desL1nVyt1DEEGKFkQ2jgjFCx8HyBRdcgAsuuCC1/N3vfrf8/LrXvQ7f+c53Oj3EinLXEwfx0z+2BVs2DGjLzYvo6o5gwpssbRjQM15wKMpygIbRtPgItbd+j3G0Q09RqtPKcqB0FJh5a8UyQMnrLI7F9NRxw3VgeKDmbOp8WLx1ys+K/s9oWSkYWJXoPbD2i1z3EpXWj9O8BfDQ31/DyEnrgNFoOxZbKQAg9GrwUsFyFJhEHxMbhs/C2PJkTx0HROm4zMZ+k0NZriGUwYu0YfBAjqVQ7//MqeQLIF5saaKG6qBeiXaYrYZmXTZVWQYiL6Y3sC62YZjZMEQgGe0bxnW7PxZP2vDAmZ/Ku1xDgDb3sODpwabPoufHE81X4T/17cNp9YOJsqwG3Fomi/TvL1QrC1Zdm7L8j9c+BQD46vm/WKwQYnkJAyAet5FV1y/73rOYmLGPa5K7hWLadbGcJ57liqppNIOfhUYrwOXbnsMDz6SzdygvQgam1CxsGHGwHKdrS2wYXFOWwfUSfBZi0EsChNfUjsae5cSbqdKGpw1oslW4JFgODRVbV5bNxltlmC3g9eEL+n4dUsW3R6Ib8v2KNTHBB/zYXRnZLXzPS2XDEMEyZ+l3eu1FLQxk1gxpw+CWYDm+Z7Zs6AcP9cDWFSxHyrJhw1DGGKjlmC+wZUPeRFmmYLkqaJ7lgjm6bYhAYD5MJGd/YF2kLBvBcXIfMK0XTvQ0BvDA/XrahhHnWV7wDGXZi+6Xo8E6zHrr4LMg8Sw7lGXrE65AvVT/QlmbJ8FytFEwurvr5wmxxGip4+wX964nDmqDp9NliDfAqN7peZZFnahmYEDBsgWhGgUW9ShxpGc3HAfHovzCYkCeH2tt2m5CWWbtVA5mDxyDTH87U7Nh2JVl3bNsRqMhF7MJGsoyQi1XLQvbYIxZH/ZvH3gu2Y+5/wb0vF97FBnb0xcHrC1ei40SkbIcWS707mfxL/frqXJkgBGGmmf5rL7vY5A1IxuGmQ0j3mfz+gEg0Bt0814T1BDKgaxNqSy3k8BGUbydM/gVvBk8qSwX2pxYBtQeEmHDcPWaFFGWhd8YANjAUOxZ1p8zyUAnxNMzRPVKCCQB98C9empwng+OgHtYYGllWbx8BqihD21Zlq4sW35L2cpYcPu2kmc5OPoS5q7/JH598IlyxyKWFVYgz/Ll257D3sPuLBZyt1hMFAEo59X3LFOwbHDHYy/j8ReivmCpHmU5ChzrbnkwmuxAKMsMPN3NpdgwOPRG2EOIATNYVvIsm12+5kCofBtGciyfhVCnDPYQgDH7b5sOB5TtLAP86ElPwF0PaixEyKOBex54ZAGKPctqhWPK3RBalWXxsBVjA5Jt+lhg9SyfvKkfr9g8GOX2DHRbh8tvHNk6YmU57oKs8bb8fUxRlrudlEQqy2Rarg6qsixnosnY3FHvPUuw7A2si4LlDM8yoOdoBqJ2nHv11DOghiBWlvVguRYryxwMIfMx7CXPFVOdlr/D+F89vyyKNv+qssznoomOXukfL7YzsTLwpK+u494vcQsJG4as+0nWIVvsUgUoWDa4+YF9uOXBfQCUHgNLxTCXmJuIBk8MyPNZtI9WVlxhotRxeqEeOIbiYFmUoaWOM5Vl6NkwQp42yas2jONTSX5Nzxh66PFYo865IbJSxxFrj9B8GbRQY2Gc5pDBk5kr4sDWGOAqg10vnT5OqLg8VohbRlPm8ixvXNcfKYRtI1h2qMJ+/BoKqKnjVGVZz1jTDWJmOLJhVAf1SrRzbRhcEx1UzJnzAIANbQRnTL6oyRcwKP+zJN2bwG3DiJVl31SWozspBEPAfK0XxWXDsAX9RWpl0ZprG+BHVBeuqMrR9+ztfQR49/C92OTNastTyrLSUb9qU8etVhhLlB1xI2sujILliEBSKsuG9SE6gO4bU1f7LJQetbsbPwkgW1luc0/aLAD7VNRqNozLv5/kd/URysA95HGw7LBhiCD9cLDRmle20947Ym1QZ2FUV+O8yiJzBVh6Br/Es2wJlkXDGk+k0+a6+mzPsxzA91ikEBoDBl2qcA1JNgw5WBdKnnIlWF7P7In4i94LZMOoHmrQ2JY2DNe2kF5ME5uyzLyaYcPQt/VkoKxYQeJeGO7XtdSiQNSOt+GhaQ7w86AMevXlQMEm9zUbRlaAPDYxj+/eu9fxyxM+9s/3K+W5txPKst6JQhW/soi8yDmeZcFP1w/gZ/tfxG8PPqwtT/Isi/FR0fdv375TqsxiBr+qQcGyAWMslXze2ogYi8wtRDexUIWF9UELwMMkMbyWKQNJ6rgQDDOx9YExLtUyMyF9SllWfT99Q9hdO1XJs6zO6KTbMFqoRbMDsuh8d+w5jh8oeV9FkN7gNXvXNU99INYImmc5Q1kO4IODxWneQqtlgjEOHg+ADb3I/vBg48flemnDiO8hc6Y/2wA/hlAGy9y0YTi6o9UBfup4AdkmKOX88uAOnORN2n94AcT9SmpbddAG+OXYYzjgDJZFIKAqy9E+nuxhEaWbWYbU77JOe7WUslxDGOUX9+povPMj2Db/RgDJi2XII2VZBNkNnlan5XkZPoxt979k3S4b99+rFahqegUjI0LHzF6R00SJbCvOGViNPMtHxueVl0ayYfQEecqyeRVdgz2kGoVklH68Q7JvIJRlkbdVCWARwkeIEL4yGUIIgIEzL9XIBVyfhEFOSgJg/R9+EbcM/abmWVa7jD1wHD4WdZeIrAL1WAn/9Lcfx5W37ZTbCgWuyWuZqeOItYc2g5+jJtTiEfuhCJYZj3tEmNaFrQ73434UYBwKNuGbM28DkFgewlhZbhlZMG0BuMdFsBymbBiZyrJUPDxwFmXtEG0CC/RxBcNeekrgoveEHDtMSQEqg3rtAtu0jebGqWA5VomFshzqwbKYQETNUKTN4McMZTl+ZHM/GeDXj2ZkF4onrmKMASf9hJzpr+Ylil2kLItguWYoy/bfDWDRUxfZUscxua67FIzEEsDFNSmmLItg2ZyBVQqQUqlOUAf4VREKlg08L60sP7pzzLm9q84Ii4LouhUPWK6+sgeKsmyUJdQGMIYFJWUVEHVLm8pyk/vw/aRicqMrQ3jWgKhhVlVhHyFu3L4bQBIs+witvy2aSZChDS9zel8Sx9Yg3PFZocYCacPwYotDCAbOYBngp2fDEDP6AaoNw65gcDDZkwJE3dceAvi+F70Mx4rwgfZmTISDmQP8ktRe0Yuqh1C+ULNAD47bihVK3us5N4MMkkhZrh7KpZC5tR2Vm4OnUhKKumNmwxgN1kdlKtY46YM3JiXRlOW4fnGvT+ZZvmjLlfjQhptRi20YjEV1Sdw/IlgWA/xEILPA6/AZTw3Ubu97Aq/mB7Tf2kn4Ylbj+585jOf3jQMwlGWj8LkGBcuVw7BNqG2UjwB90MUHGSy7pvLgenla2ZQNozdgYKkJB77y788o6x0YDUPiWVbTtSXNbNRlF1Uon4Xaumj/ZHKFppw5LG5gmIeaESxP80HU6tF2AVcTb4kTZ1rDbNowRGMuKneNBdaHQjTi2kfIPfsAP5lHmlgLqHWsQKwcD/Dz4wGoimcZnrZXVB/jYNkTifCTYPl/Dt8DgMtR1dOGoBsaA/wavBYF54YN45q5t2ImHMgc4CfujejYnjb+wDPsHLbeljxk97tHk5JUDfVa5GUpiezFej0SwbKnPA8unf5FfH7q16J9YFOW1R6WDGVZ6V38sdpR+CyyYTDG4jEnUX161+S/ROcfB8sibZzosRQKtWjv52/6LN7Dvhv/qPg8FiF2+ecbn8Hff+ux6O9g8yyLXNRZeXqJFcF8CVSbqA9vuAkXb7lCWy/qVDM1liTe0ciGAagD/KoZllbzrFYQjyXdbdkp47IbzpRnmSOlHgtVrBYry+pz1os7kkMwNOIA1teUZb3yhnEIHBUjWrakhWMMmmfZtGGIiiqU5Rq4NeKpsQBteHHqL/cAv9TyAr5vordhSuDouj98RF3FPB7YJDzLANNG/avZMMLYhhGCSWXtx+tjqCGU95DZ3aeP3RZe/BA10XMUn6uY+TLLhiE9n2AA8+DxJPUiCyMbxnwYBR6MWeq5teQ0NClJ9VCvhKgh6uU5NrkAjdCYVY/pyjIHwzOtV2KaRxOHhPFFF4IJkLZheFqwHFcSacPQrXsB96JXTy9tQ+JgCJQ0jHL6dvFcyah2nSh9WbXY5lkWR2i2SFmuHFwEt/FXpbK8unYstblITpAqRqqFep7lqGyyYfQUTLFh2B5awglsrjFVWJk6Tszgx9TGQR/gV2Mhotg03UhyeNLKkSjLfkpZjs4hDi5E46PZMBKl7U0/sQXDfclKXxnx31IaUJuQEjXI0WDCzNRxxqos3zfRw8TXsrX3UfzU/X+JU/yo4XQqy4hetjTPshJKJMUqNoxYWfYY16Z0r7Eg8SybwTJPXh4BoSwHkbIcJMFyCz4C7mUP8BP+aB5NnsIQxi++HF7sWb5h/i3ROVp+eW7oK1RqacPI24FYLvRBq+kLc+6X7tUXhPpL1+vrL+MV3oRzKl/R2+erPngjANa2lzaMSFlWRRORDYPF81GZx+I88iwLpLKcMU27OJPF7hXXPMsV7HInDOJYRZ2UxLwfmFJXB1nU1efMPZ+hLNvS3lYBCpYNPJbM1JSp8OTYEUUjJ9NNMZ4uL37Q1+JsGOpT1VdCCBFw1zKUZSBpHG3dGGrj6YGDKd2FPgtlpW1px9JMI/FykSfX7lmWNk0jRCiqllEXXG8hXh6DfdHsW1JlcN0X8SAkLXUc9+IHphIsM9WzHCnLdbS1WSrrCGQjbg7wM/MsN3lNDvALOZfjBdrcRxu+s1FXXyQjZdlPMnHwZICfGFdgT7hYDJtqQ6w0qg0jZ0ue7q5+77rt+NimG7WR/nrpSTpCu7KsH1S3YbTxs/3J4GufhQjjAX4eY6lnk7BhCESPpbRhuF116Cg/gaMaB2EyHkat60UzLRBLh7PtCc2XtvR2g4qaLCa+MVPcJsqysCcliHaVPMs9gpk6zlV5kjDSvl71qAFxQ8AT1Sia0S8OllmIXQencO3du7X9PXCEzJNWDtWzLAZ3AMCh2o/G5xKn2jK6tQSaZznXhhE1aIzpjXekDAplufiw/SKzku05NIUPfvYuPPzcaOFyiWriutqR+uVIHafZMJSXv1hZ7mOBlku8nqUsQw8WmryW5FkOQulZTpRl0ycany8zg+UkH3QQhqi1ZgAkKp3Vs5xT9UUbIpVlyoZRGdQ6ZM2OpG/tTh0nynAoy1v8GfwEovRsutpmD5bh1zHA2vi94YfkOh8hArB4gJ9qxxNnZ9owdGXZ/iyL7UaLGLsIVRkwgy6Kklcat43SzLOc3naYJQNHhqSybATL4qWQp5XlfplBo1bJzmcKlg08xhCGiWUiVXlc6o/xVTRygZzBLy5LqAdcmfkr3vadczdry8QAv+PhOgDAA41To0N5STaM7869Cbdt/B0Aif9NNpJmNgw58C+EpyrLioqdDPCLupr76r4WPNTiSSXEdMUmrinCiyjLYk75HXtp2tNeIXmImjkV7de7higbBo9n8JPeZGN+dVs2jD7W1m0YCNBsxt5joymLBvgly6b4IPrCefieZ3iWPbThaY26+hIYTRshFA8P3EuU5fYLd+MVB24HkB0su16o5Xphw6ABfpVDC+Xk4OUMAYW7guX4mWIGsPEN9GcbbsL/rP0grrX6S6OKaMNFb4uKGDzLAG2An9wXTKaqA5LeEFn3M6pdJ8Gy6+/UmjqGXx54KtrC+m5J9X+lyFOWpfqPdLQ8pATLIvBNWXw4oKcITQrpU1IaVhEKlg2iPMvRZ2PyJADAloX92MDmUknbTUzPMovfqEQ10R7IcYX6z/27tf1FwDDH+/Hh4+/F3Y3TokMqnuUjwQY5aUNaWVYH+KnZMEJNsVDVM5k6Lh5w0lfzLMqyF6XiKjG9b6Hnvxg0VbhUoqpkKcsizzKLPcvRhNKGDUN5ZOo2DF1ZbjSi7r6WdQa/hMlwCP3BXDyAlwOtaGDWAu9DAM96PwLCs5x46YBEWQ5fTmbBFOdlG+BXFBrgVz3U4CHvskTjULJn8Esry3qPyABr65mKZFaBaDvVhmEjiHOW2wb4RS+QyX0iMhX0eekZZLXfhOwBfv1opqY1VvdNLb/zi/itoccw4k1b6zpV/5XD+bdPzeCXvNSIl64hL8k5LwLftLIMLVhWA1AxWU4TtUoGARQsG0Q2DH0wXgLHzx/6Bj684abU26+5ZeJZVmfwSzb0DPXKRGTDsGW2AEuUMJEqKDqHDGVZ8SwzzrXomW7nAAAgAElEQVTgQA2ezTzLYajn4YyU5cjJaRvg57zXyrSAFfQrEXkY9wMHhtlCqhvZU2w8XhzS8jgI1ZXlpB73DUaZA/pYINMiArGyvCCCZT3o8BFihg/I75PhUJQP1GtFlqDmLFrcQzu2YdRYqJWrfhb3SgAP8Hx44jwHNsjtZKaZDmwY8m9DA/wqjWzDMq4Pd3hokrRYetsWGMHyIGtqr3myxy8ObGWw7QiWQ82GYZwbmPayKcqsZ7zgiTVZLfKfrL8Nf73pGhSu6LNRruVAWqWova8KTmXZSIkY8qRXQAbLqrIc512umYIah+YzM5XlVjwwu4pz+FGwbCCVJ8QVQrmYogKc6M/IdsHVPJgz+AnFiXOOMwaewOvZHrmtbSS+GFhkNq5ArCzz6FxCpVoJ5djtWVZsGKqyDC7jUznjYDzivxUkyppYntgw3NNdp2wYBSKAIg0zUS3M9xp5lYMm/nbzVfi9oQe19T4P5AA/6csXXmCje07U/VeMbAQQzXSZUpabifdYOw5CLPA+jAdDACCnjB8M5xGEHKw5jzkezXDWhq+9PKpdh2ImTSBO28W8pEtdCZaTulv8BVKuN9Q7smFUBz0bRvy/c1ueSh0nYFrvRELg6UHvIGsYynIyYyqQ2PrMYFk0rwE8acOwZcMIlAF+0nLnJTMTOuteRqP84/Vo0q4TvWn3Riqt+ei4CGEb4EesHM7HtEVZFvz/7L15vC1JVS74ReTe+8znDlW3ZqYqQEoQUEEtKBFwAAQEeWjD47VPq+U58GjkZ6O0PhVp4CH6wFa0QVrk+UQE/GHTDmgDhSBQKGNRVQzFVNRc99adzryHjOg/IlbEiil37nNv1T2Xyu/+fvfsnRmZGTszMmLFF99ai8JmcmOZmOU4EIGRb/htsWY5jsu8l9AZyxG4g5/SYaNYlbR025/KMpBEwWmW4ZOS/Ojitfix/scAmE4wyyyz0HExtKwwB8OoDXXPe9ELirNMS8Lh7/Lslwpj2jIZhgtTZ2UY40mooaM4ywrCp/Dmdct8AtqxZa5KXa+5Z3FIrkXZI/MPS9gO8bsG3wi2Syvj0SDNMnPwC8p5Y1kevAQA8JXxBd5YgGmLo5F5Dya6wgcv+ll8Sj7aHGPfv9ecfBZ+5+QzHcs8r7esDGPLZVOLHfz4+1gJZaMMmNgd3FhGf8GV45FmdgtJMoyOWt4zCGUYLZ7LFBlG3M7jzJMLYpyQE4A3bN1kMTKyqe1s6wGLhpHTLHtjhFZj+vaUGhljn1ZCG1b7TijzHjywd3exDIdQZoJrpH5IZtzdXPHMoRjQIEpPzctRJCIeW5k0y9loGKogwxAT5/uxFxeXO2M5ghRIMvgRVqWZEW+queS4uI1JaNRaMDY3TndtMNS9pEEB3ukuF6BbMyeNoe67jiyOsxwkJYFnngW0Y7NrLey1rAwDXrNc16bOiWZZmwx+WWa5gM4AOPshofCyfX+HK+e/7Lb5Ti1ZSjDHRBMqF6fbDuQ94ZOSBJplYeQZAkC1/yIc/ZHX4KPDbwuc9vqoMR6bDrqGwMbgEEZizl7HLl+jj9vrA9iw7+ycMu+wHm1hWxljOXbw4+9jzzLLzoFQ+OQpgSHFIs3EmD74pxKWDnsD/FG4Pqy0Um0KZfc5nXsswxAhk7YqtzHHjA4ZMcsuQszcUvY662oezl82Fw2DGedehsFiHteT6BgNtXYEF6zfgBJOKrN6c1nvrvDYKe3YhUyN0Dn4nTkUn5lb9WOa5ags9bkVaie/yNk2usHBr5geew+gM5YjxKHjOFbIWNZzxXjChCpizKQtGZ9zWGKWrfNTlrkTYYfnHIPI+YMMdH4o0yxLrV00jDF6QSzZiWPCFR67/gE8cf4LybJgY+g45zEeb27fAe7BSWUHmNBAc2KCfWJ7emHbvuI2IrVfmQBs+nRdmagAUTQMZT6Y080tAxCRfr7GeERyJKNzo4lkfF1ilufqLbNhxJnlCn1R44fmr8OS2AmOrYSyBj0Zy5WXYTDDiE+KMzejdJey6Bz89hAyMozGsgVm2Ydni5hlETLE/3H5X/Cw/h3uO/W9w0iGoRbPzV5nQ81PiYaRGss9ySZ9GRnJ1t+9Fo+8/T1FcoRYxMv7t2GWtm5WbMJ33lSi9Sk6nGYU+56IWVbMAYueG63mDVhY21w+CP6O8P5yDp0M46yClFHoOC7DsEbChprLOv8F54G2ymDLOAkzFYsPG6FvZ2ERAycss5xZj9AizMIUO/g5BlnEzDIZ0V6HPNZVkFLVZRzUGo8Yfx4/vvipIOpFL0oqkdSN/u5Gs+yiYXTm8l7EspUhzQnv9Vx6UiKKy0moKHScPXJejG0HKRCGFDLtWSAz8bMYoMaEmGUt7YTQr4xwbFnDuK+Nrk6Mtty2CSQGosYzFz+Ll63+XcQsm9gdNImE9NFhiCF549oPM93x7CO9T9AQ/u1wZqFO3oUHXfd/YcG2dxdnuWDNGTIkbyzTEnXMLE+mMGne8TqUYaiFA9ny63qBkSdp/Xj0DVpF9MyyTphlaEAPzQRzWUSpvS3m7f05UG3hYBAVo7kh96CMPC+WYTQe1eGeRDkaRhgXmTPLzli2f+eYsRw7+PEYy+ZYj4EYu0lhl5TkLIAAz+AH8FeXZBg7ul80CglSGBkGZ5aNSZzKMIA0IgY5P+Uc/CDDLExOsxxFwwiZZaZZ1gpXDMxSuknWoLyDn06NjVzoOAVhdXLturaQQTAYTcJluK6T3NugoPNcm+abZ9RObeca69ollI0vIdz+IXqIM/hJqGzbv0vtxz9uPxKAZZbHpmMmxyZilmMWzLFoFN+cM8usGzxQbQVsyLwYo2fD3ZmfKZ0jIjHLN0/OBU/4E2NqyLGkfPcm7AUMP/NeLK1/E4/o3wLAP5fi09G6yCx7g7tZhhGD2jFl23NESM8z0p8aPsh9XlfzgBsHotjjWoYOfvRO8Hc0kWEAYmEFgF9ZjbEgxjhcmzIlg5pATvLmunkZRjcQnDkUmWWdapappJdfWGbZ+rTUWiSh48xFCswyc/Dbe6ZyZywnMI5wXpPI2w4tpUUrxllUdrD3A77GktrAqjoZlCNBO9epAcYoFQVjWccyDGKURTkaRqxZvrx/OwDDLlQ8dBwxyyVjmULH6bxxUHzX+HKm/fvuD30Nf/vxm9Idsd3VGQ97AsQszzPmQLD2zSF0umQroF00Fa49HuqeOZo9Z4rHTJM4vtrwzzvfDsAs8dUTUxcTUQNumTmWYVBsZxNFRkOMtz2zrMNukNiQka5wUG44Bz9TEebgp3161iYHv1lbb9fe9wZEz7QPWlaetjj20jd+DBubJfbV9O+pDKPZWE6jYaTjAbW9Hd3HGD3n7Jdb++TGuTeWvWZZKz8OkSEj5k1SrBWZ/jYJhTkxwVFrLC9KHxEhd7vu1zvqPlOW2C6+/t5BOXJcxlHPliVbgVaryZbZ1HNJUhJznO+bD2zd5KJoGAc/2z73YGPojOUIUobRMHKoopA3QNrI+qI2XqJ2tJdC46qdP8ML67cH5ahxzEfG8n652Rg6DjCDuWIGRcosp5o1IMweuKP7LgEKwJjliOXjv8snkShpNFN2rGQAXHPDXck2XutPfekwfvZ3PoQ7j21lj+9w74FYo3kmwyh2ajrVPvJ4xdxT38kweFmuE47gUrKLGmpCLEakWU4S5gjUoo9Kj9G3E1GaqNbRdYgNOVyv4mC14XT65jQpsxz7Jrhb0NbmjaSanTPsHgElw7EDfps4yyfW8v0UMctpNIx2zLJ38PMSu7esPxFv2/h+p2Net+ERaUBIE6CIwDgnYoRCx2kAqL1xI60xK+Yts5xhjakvuFuZMjzlca79P7B3xH12Dn7xWNpRy/cojq8PcdVrr8Y1N9yZ7JuewY9sI24fkAwj1CxvqrlsUhLu61HpCX5u5YPmOHQOfmcVOGscp7vm2hxeJoc+zCxpWkipkrF8brUBKXTWYNCSjGXS95jt3sEvDR1n9lunKmU6uC+OL8TRejlw8ONJSQg8okEfE6s5Nbi0dzisW+F3zhJnmffx//oFY0zfenhj6vEd7jnUx2/DJZVJQ841aSXkmGXKRjZhMgzArq6IULNcQRsDOGOMU2SKvqihaibDEH4imXvfammMZWLSyMioo4Qm9PsO1/uwX27jMXPfYCG7pOsHSLPMswVmJ49TZRh+Jcv8bS7f4d6BY5btsrImx++mYzLtHvBtKol9LKosW0ygvncUaZYFgOvH98dnRw9y/T4lh/BL5bEWWKJmDoWJDENrlwYeIGmgZsxyKsNYsONWzljO4cLqhPs8V9E42m51ssPpwW13m7H049fdkewrR8MoZ/CjvpZsBmrrm3ouk5REI04Jz8cVL8PYe9RyZyxH4GwsX2oAuLGsps59TTaaCk0hpYCyDONcuV6UYcCyZz4mIS0RE7NM9U1DBwFAZROa3DC6n0suEjv4VeAMA1seF+S4aM71n1ffj4f2bk+qGP/akq0c1DDj4DeubQiaqmuqZxJb7/51XDH/VQDpxC6LjNFAHedEy8BoGOmeaZtchmFXMPLUtcBIV0aqVPs4ywDw9f5D8Inhg/H/bn13chQxy5Ix3IA3vgn0Lh5TPjyXi+8sqoRZ1hBOlpRz8JuVKVNa4+4T27jqtVfjm3e2TPTQ4fSjFzPLLY6xbeNVJ54dbJ4ryDAAH6c2B4pa1CTDqO05XRbLBhkGv1Yiw0C43E6rM8ImQFnNMsvmdx2vl6A0sCSbjeVluYOTNi7z6oI0DKV77zsr+d6Az2eQWbWeyiyn56H+lPxTiFne1oNEDqfZuYJtMEmnYgJwL6GzQCJI9pCU0tmBrhJ6qhPOwD74aXKFErO8KEdYFjuNMozYc9Rn8Mszy7DLxZXyWc8UJCqh3SBP+s1BoEsN614j1JwGHtCFfm+3S8sTMpZ7e/DtuY+CT+zcU0lmR6ljR48ZqQGzjB4AGWmWdahZjh7/xIZ7O2dyGMfqJQzRNyndZR/v2Hwc1vUCYtSyj0qNw/TVQJDohP++z4/u74/lcZadboIZy5kVpLYdftyVaA1c+zWj7fzItelEtMO9BLuCR32h9suJxUMoCsymDmPxUySlODSWQN4AdlUoOPjxYUG5SV8V7UplGDU8s+yIEWYsc2aZsrhSO1+QTH5lQfdmR/cxQYWnLnweKw2hJZfE0MVl7lNSkoRZ7ozmexI+ikWK6aHj0gGeVj+orZLkaEvPpT5NQEKkOBLP9vl7FXu3ZmcIMmCWwwdNe7iGt9S2BqgxgpdhlI1l03lxY5m0Z/vlZp5Ztp04daDexcoyDHY7/y0XHDQdlIJEpTwbV2sZyjBsBzrQvmOMl1KUDrND8V9W6uZKLyE3KHIT3omNTNKTXVPdK+BttWQQikwILUqEM9FVqlmOomE4B79CHcYwzPKF+k7cNDlkrgnRaKDWwhrLToZhCsfM8jxbWv7YzkNsWZJhVL6z1z7DZs5YnpUw49Kuys7a606/fOZgDQTKWDklJ4ndGbYtwvnVSZxUC0nGPo7rRpck26SImGUmwyBQ2yRmWTg/mThslwgc/DSEjVjg013zaBgSCtBefjJAuqJEkWPGqDCw7/dj5r4OIN/nL4sdnLDGsouz3Dn43cuw9zvLLBeOiA1ctiBA5AP9XbZSnDW1EPhDuUtniBQBk1fCr9C1/jH3GjoLJEJsvPHGk9Msu7LRd2KWuYNfDsQOc7aOOsZFOU5CDQHcwS9MDakdw5B6lD79igfgey4/D6KqnAxjoiVqCMvzEbNsY2+ylMZzUSepImYwh1SG0UKznCnimeWuqe4V9IRiMp1CO8jIMPpOsxwxy7loGDaed+n0I93D+dUa9olNZyxDNKflVbIPmWOWExmGafsTXTnjJh86rjbJVMCcajOm1KzmrtIa0hrLXWSMMwiboMPFSG7xLIQ1BGJfk0roQNaTwxfHF+P9248ItsUyDKX9CoerpiNJQmY5ZvWMg1+YBKW2K4uAkQvxpCSVCJnlnK8CSVTGTPe/ZmUW6e3SWJKMWUYdMMtcD9vhngNN+nJdZdukJFy9H8dZXpY72NF9RwS+cPlqN9HS0InhDXg2ut7DU6bOAonAB9u44bhOSPhoGKX3OtEsFxoheX/OZ4xlANmkJMQs70SaZRUxy/zQQb/Czz/rEZDSM8tchkENvbZSjQE8s7wgwuU3HiorRmmpcrcdIBnLldy7L9F9EYlu2T4eakciwx4crIxc56RajDTL/SKz7E4fvQfbeoAH943z5zccs9zMTtWiYCxHDn702yaQzghwjJ70GfygvE9BLhpGW/ggC+aDUr4f6iJjnEHUobHcxgGT2n1uOfl4vZw9ZsnKG3Z0PzkujoZRu0kZqyaIWQ5JkjjWeBwNAzCsdBDjnzHLLiJSg7Hcg3fa/cO1H7HXpXYc3qgBJhiI2hnLFY2jMfGUXKXDaUXDDS4nJTHPWQrtumoqSpMtWrFbFjtYV/OurT58cBu+Y3CLv3akWR6IGv/1wDsB5N+bvYK9W7MzhNjBL2w8tlFwJXNCMZs/fRFFwygyy6EMY0sN8Ndb38POl2OWzWM7bpkKP9uzzLJlD7Ism6ycZplkGNzBT0NCiypYcpuXMbMcG8vTDdnSoK+Uxvs/dQsmtXJ3NSfDaGIMO9x72FKmbZHXe6xZdrFZM6lxz69MjPE7632BvGjoMvh53QKlmC55RW/b92akK9xWH6CLN2Z+qmUfUo1c504sXeLgh7EJDADp2DofZ1lAOKOpds62tD/n4HdAHcPD+rcV6+WQkWF0zPKZg7aGowv71uZRsNjbMaYxy18aX+TakUsgZd+jCSpsqoHTQvNm7qK6OEPaa0CDqiFMd22OkT7MooZj0wGWNESnaYwJfbttpHs4ppZtnen9CK9Pzn/rat74zhCz3LXxexUuisUsDn5MVieFCHy5qI3Sc1+RO9jQc8HqSsBIFyLGAPnsw3sFezeo3RkCf0axgRdEw5gSG3KAiWV4ZXBsjNjB780bT8bhetXXIdPpVmMTy/NYbY1lES4BN3lXCxEyyzWkDeTlmXItJPraG8gJs6zDOLkcpVCkpZfwruPbeMcHvuIYZPM7/LknE3I+6TrU0wmljbk6a6e0rhewiDGW5Q4Oq33JUp4zllXGWJYnsYV5bOn5kFmGj4axIrZd8oMJk2HEtaTse4frVdRu+blZs6xEH2KSRsPIOfgZ+YVwbJ0zgmXl9djaM8tZzbL9+7+ovwJWgJcc+6lCzaLlcq3JBu+Y5TMJaziSMemfRfmZCNSWzEgb4pplVAHghc8wiXWEEPiHrUfhgNzEpp53bZKu4FhaCPzu2jOwQbGUeTWpDUZ6z1iznBtLqP+na2rm4CehzB7HLJt9V8zdiKP1Mm6cXORkGBNduXdEuMloeJ8oTvuGnocWlU137Z3o/cS7a/P3JJpuL+9uDp/Yxv6lAQb9KoiNzFNeA76NXnBgDnJDYUns4LhaCnT7gcSmkOUS8Fr/vWcqd8xyAsmW+3UUO45rwabFpx+IulU0DBqMKZbnRFfYsYaAOX/abPpDE6vSMcu2SA8U5SIKKcchQgc/BRFEw1BaAEKiz2QY8ZJ7HTHLuV8Wv5DTBv31rTHz8PPbJxSeq+s/TxtqpfCzv/MhvPtDX5v52HWrRyyltXXGYoY9OFSt4Sj2A2DaS3AHP4VXHXg3fnXf35p6cge/qClvKfOOcANETNEs17IPUY8SGUbsdDUnJs4AJw2/k5cICafY08qt8kxz5G1CbIJpDVTWobUzls8grLHsWLG8wiw6pgak6dO/Mj4/2EUZI3/rpx+LKx5xgdv+TzuPwl9tPQ5AugzNDdnjaplJ7AQW50KnP9cGI0kUIUdw1Nozy1oDmPh+3zHTKpRhPG/pE3jR6gcAhA5+ng2nsSS8FsVk3tYDKNmzzDX9OlbPpJYdTieIuMp1lZzUevmbrsEfvuc680WFzDJ/SEQ+HBjdiTcc/Atc0juODTUfMMuS93ItmOW9iL1bszOERIYR7DN/pUgd/KjgQI/w6P5N6AmFke45zXFJyzhCGJ6IwrLtuIxNOWbZBBU/YY1lMhD6Nmsa6dKyMl8pIcnBD5Vj1Ui3piChZSTDEM0OfnqK4QyEHWeuWkaGke4nZrnD6UNtpS0f+PStMx/75fGFAIDlQjxVkhvxaBhkQM6JCUZ2IsfbjKJ4ypNwBaOUlATwzPK6Dpk20aBtr+UAQvGkJKZsnO7aM8v+/XRGsPRxlo0RceqaZQeyTbR2724XDePMQddxIobpz0LWIxef+S3rT8bvnny627fFSJASVNQWSc4UO3oLAG948eODfT5SRr4t5ogXwyzXroQe+bBvFYV2IxlGJhpGjzn4+XeAjO9otdWOcUPdgxaVz4SbrNJ2uCfhGOEW0TBu+MYxuyNMUmbUMxpPmr/B9VXV2IeQ3dRzgY0QMsvlMd07Urf7LfcmOmM5QhANQ4dGMT1wE3/SyxY4nq4/iJ9Z+QgAtryM1NmCQMzycp8SNpjBedsyZ7kO7sjDfgJ3nfMY3FofDOocM8v5Hyh9nGVducbpAu9DQIsqkGH0ES6b8PS+CQoDyjTtJRlwMcZ1uOTT4dQR95G3Ht7A1s6URCML+3Hr5AA+uPNwAJ5Z9pNLWkpNmWVyAqqgXPtOJoEibyxTrxm3Nlp94QaIYZbLP6EWPch65IyDUjSMeTEuMss806BhlsvG8gc/fSuueu3V5QpZJA5+2q9wde3+DMIxy2Ff3/RIhBoDNonHEH3cWp/j9tEErzG8YdTSneGZvC9Av2fbJq0KRpqlG+3E1v2cgrG8PGelHxqhsWzjLOvAwS+WG6ZZOV1K5GiiR/rmsa6gZc9qllNjubOW71m42zuFWQ7AmGUhhCMSn7346Wzxoe4H8jYn3YD19SjA+X7sQWu5M5YjBNEwSmWYDCN+sQ/gpPs81pXrGXtInSNcGTAZhn0k1LHmliXGyxfimw98diKG71lmeZSJs+wgJKROQ3iRQaNhZBgr2mcO60eOHUqXo2EQ4pdu2nLypGY6cBFu73DP4jff+m943V9+trGMhsbNk3NRo8KWGmBZNsswOLNME7FKqGTJ2J8/bU+TFl3mJIhkIRo12EqSM61fxeF/CXNi4phlcvBzv4szy1ohjobBHfzWNtMkDm2glXbvbscsn16sbY4wHJcH6wB1vs9uMuZEPQaqPIPsjeWG1Y9CNIz4fRFBGZpkhTGYT+pFvOTYT+F47xCre1j51ZUF7F80bVwDwDg0ls0On6FtLhrHeqLGREvkEvPEdhcdO0LPGsvKrjhSv08GVcQ0qwmGn/v7buZ4muBkGNl9hYOCzI6AkVOUr0GRtghej45GZrmcUO3MozOWIwTMcoODX9xQdFQGgI2GYWUOOu14TZxjs39FGKe9LWW8nYkxy7VHIcJQao5Z1sQYN6SMlN64oGgYgF9O0/AOhIRewizLZLmQUHp/pvVzRQe/unPwuzdw8+GN8r671oMwaet6HiuOWaZSIask+LKdHXR7qF17yzLLEQIZRrSf2usk6pCbOlmKT07LwS4aho41y55Z9okeaO1SIpeUxNRXnJIMg96RLs7yPYdf+sOP4lX//VMAgA999jZc/42jxbIUc3iWZ2qY5byxTDr7JjuA2qTPalZilv33Kjaoo6I0BuV+R7/fZ5M/QI/9JLgSyjRKZtysyjA7X1/UGOkwYox0DmDNMoyeY5ajakfVnNz4cYz+7d1QG3cn9e+we+QmbaX+Rgf9+fTR2KxaZ2QYUzTLXZzlswhzattps5QOX3jn4Ce8B2/cbLixPNY9H8YnYyzztL/n4jjW1DyGVkJBjFZJ7iAzxvLN/QcBAO7AoXAHr5/wj5yiYQBMs6wlRFRXYgZ9vUMZxhVzX8HrDvyl0deVVnHsfZzDGPdf/xwOybVg/6Qgw5g1C1qHWTD9pm7tjPGKP/sktodjV3pbD7BQ0ixnZBi0jcdOTp2NcsxyuXvatJPKk5GDXxMXrUTqH8D/Egai9s5/iYNfxZKSqOAd0xBodvArtfGISWNfldI4enIHV732anz+a52xcDpw291GW/k//unLeP07ry0XrEMHP0KTqSDqMXQvL4MjZrnJHiBjQblxow6+u+uwzxT1gtpsvKJI7T6OjgEAWvYca6hjzXKU7hoAVmJjGbVbhYmd2XOJugAbV1320EMdMssFuPtdt1wR6NAIGot3k5SEH9ek4Z/oKiDUvDwvPFd6/b1rku7dmp0hPPaOd+FZVoejddgtBprlQjvhg6XzshfS6Yk5au0ZWiGAu+sVto+0nblHJEJm2XZSXxs8DMtX/QmOCRN3tuTgRxhrrzPrMc2yiGZ+gyTddejgd1n/MObExGRksttK0TCeMP9FfOfR9+FJ818I9hsZhv09OS1V5qd0mA1rmyMolXFObcBoQmGzvORgoqXzlOemIuAZ2JyDX08oZwAnMowCs+zPEeJfhg/DOzauwCeGDw62N2mWtV1VoRBY3iBO37E6kmF4Bz8fDYPLMOg3NbGQbRlKpbUbiJTS+NrtRtr10c/f0er4DrPhI9fent/hYg6319QKNcbX78pLlEge18SdxTKlykoX4sllToYRh0AkqIgQed3JZ+ANa0+1J+KhEAGMdyDmlu21QxkGALeiROiJ2q2+xAx2bHgNxARKm0lw3V/EvN5p5eAnenNJPTqcAhrab1mG4e99JYU5x6QsMzNEXLr6EU++Yjgn1T2ow+iM5QhaVrioOm4+NxjEbpdO9xFq2LivQmZlGDVk0KCOqNVgH5CG3wHKMgwAEL0pHteMWa4hXQdLTnw5LXJfhjNBXXDw64mmGaP5IQNbJtZB1ypM9KJ21tHh9GFzZ4xf+sOP4p1Xf3VXEw/e5mtIL80hBzcdBqbnE65KaDx28DWsyB02CWzBLGuvQY77TgWJT4weAg2JlUUfKrFRsyxC/wCfzCFnLFNWtDR0nMtOyELHAea9aDKInfERIZ5gKq3dex8YHBh8gXsAACAASURBVHtwAPlWwNve96Xsdk0pfme47bIeYbsuDavUlhvaKMmUdMgs5xz8CLEMg07/2p+/Av/tRY93bZTK3VYfxE2T82yFK8YsA3q0A8xRSFJNHlnuWudV4Ypg3+UTSGON54xlM2EQqAerWNSbrdJdi/683d4Zy6cDdHt3n5TENotJflIImFV1TvT1WHjCpuc4zRfqTKIzliNs9w/gYGX0m3EqTscsC8/8JLNgbizTTF9IxxBwUJg4wnGW4WnitGvpIxKIZRgRS0ckWEOq7LGNNOBkGKLQKcN7PPt65x38euBpwPNLy5yd5xhPlCt00fp12PzzF2Pr71+HVavl7qjlU8PWjml/n7nxiNs2C8Ms4NtGrSuf9YugYmOZOYRA4T8sf8wc65IuTDeW26Y+PbA8586Qa/IPvNBMQksyjCyzbMtOIge/RmZZi2wGP0IpIo5foWTGAhnLfLbc6ZfvXdRhNAxC6Sk8Z/HfMFi/zaedLoC30ad8z/0AAJddbNqol2EQG2z19Q1GBE9cYq8AADhv/wIOrMzhE6s/gk8OL8VXJ+cnx2pZQShirwE93oawxrLJVKuhtcJYGBLmGYuhI3DfOvgB/p2WPG4zwwATn7Z7bhVLetNImUpxWAlEAHXG8mlBzpHe7yscFCUlqeodVO95WfEaYxaWFuB+T3pKUpLOwe+swXZ/P/bLbVSobXYhD6dZbinDqCGNISuEc77jmGgZZLkZsU7WL8dlL1JklgHmbNhoLIcMX88tk/hj3rFxBYBUs2wc/KYwy1PuTy8ytmoWZ3lpaLSZ9W1fwHcObgIAbA0nbjm6w+wIntaMRrL56x38agg32fFOOSE7xJnl7x58w332MgzKnkdOSWl7GivZKKsg7F+Zc5XlbX5hroe3vvzJePyjLjLXtGngKbmCZ5ZDBz9evziNtY+GQcvH7TXLyQSjACOVybNzHe5FqIKxXHgkPzBvGOpx1J5+8/hz8ZoTP5Y95tvufwBvffmTsboYRj+KNcvx5DJwgqaY4Dov89is9uMvNq/MtnOIHmMNNTDyxrIb55TCUC4Eh5GB3Be1mxxoCBP2kIz3aFmUEnUBQD23DxVqDPQO6ztsLRLb2U9OO5w6GmzlIrOsg2gYAn0dZ/UNy3OJJxAyy23iLO9BW7kzlmMMBybD2EG5mclbbz5LaHzk2ttx813r6ZIR+xwwy0UHP5mWB5LZengNETLLLX6XK2uNZeo442gY3Aj+0sQYGbnQcdnMgijPGOOUpnGEjQl72ybSS0k2bdKJ33/3tXj1n3+6VWKADs3gU8C291MIf9QElV8ZcCMcGc+psfy0Re9ENYmWmWPnII5ai1YUg5NhINQsx4MvLUd7ZlkEf4NrRwy4mxxIlr4+lmGIaTKMwkAUfeC+EkHouL1It5ylaDUJKTj4TcMoYpZP6kXcpfa7742h43Q4mXSa5dhYZl/fv/0I/OP2I3HN8CHJvqmQXlZkmOUdYM44zVJUC+jUWCaypYc6mBxwKVLOwc8Zy/OGST9x5DD+9O9D/5XkybBQjR1OH/LRMAqFuQ9KZvWMpDjuO8vhAETjfVOc5T1pJht0xnKEYd842e2TW0mHypllAHj7+29Mjk+ZZQDSa5ZvnFzs97PQcVTef25w8EuYZRHUj3qpvIOfadSTSK+Z0yxTqKM5xOmuZV6GITzjnnZ44YeYWZ7UPpJGX/lIC21ZnQ5t0f5+Hj6+hV950zUArAyDMoVpmTw/GshyGfw44tBxfkKZ0yz70HFNBobwhYJyyYqLyDv45aRO9N5tasNa3zg26Ylpsint8nSYvXKKsVxiliNJF4/C00DCdDgF7AwLMZQZnGY5eabNndBYZxhchmz4e4qrHa24VJl+OcYIfbxv+9FuzJjFOUpLxiyrCVCPmQzDG6kJs+wyz9bB71VsdSXVLI+dk6OyxvI+uZV2QkVmuev8TwdUxORzlJOS8OhGaRCAOlppjuMsu5TqgBsrXn/yadg652HRecrjwZlGs7jqvgibuIAiXgQyDOGNUAFtDVZmHN99E5bhYxR7z06JysowPjB+NO6cLOMJ819OjM5JxnBOQ2zZap6iDMPLPCJmObO8F6c5LXXcPR4NI9rn6mT/xprlSe3ZtB4zltOUreHSd4fZwfvDpjBYH/j0rUZLjliGId2EMZmgZZhljphJ9ulNMzIMLRuf9E899dsw16vwpZuPu7o09bHKpoGPHfyyZZ2xPI9XnXg2jpE/gfAe/0LpYEDQkBAoW7clB7/k2ixzKDc4ulZ/+rC5M91YRm36vVnv+7Tyuf20jfpWxyxrigkeM8sNk8c2lSTIyjHLsrb97oBkGNqlu64ROo4T2dJjoeOo3p5ZDvuWOaZZ1jbCxaBVZF2eXr7DKSMejPmuomY5YpanTFzGuueknQBLeqa10akDuL0+gO1zF7B41DvYdjKMswjaMq+VUJl01x4SClKKYP/We14RnKumwV4I1+nVZph1n/lZczKMnGEqAFQsBJxn1jIF402RsUwzwpyDH1071SwXHPxEjSLrQjopO+GoonPypCQ9NXTOWB2zfLoRPrem+zlimc6CaBiMWXZtr0GGwTHRZAxExnJOCqFEumrCcPkDDuCKR1zA2GdEzDLVzTJdjlkOHfxy4PrOI2rVf5dkLBvdMg95pyHcak6FlFkvsc7JxFIVZBgdThu22hjLBWZ52hMZiCnnzlLL5k+88nL+5HZ7zRnMh4aiSVsTPhqGnBhjmWuWTSGV9PfEEPeYgx/V06XfTtJde82yFEzOlCVE+IZOs3w60USmlaNh8NBxcFmACfGZeA4HIFpJVoyYi2KSdzKMswmStFiqUdcmoQN2N4ca0o7g0jn4jZjwPWa2cpKMXPdgjOUys+wc95uY5Ugbxx381i95HI70LgQgkuUVwIQ3yjHefCaZxs6MNcsZBz97TKWGmFTz9rfFxnJnPJwauF65ueRwzLMq+gF7ApmwpGnouLwMYxJl+/IDbYFZFsXdrLNveBd4HWWUwS8nv7D3pGRIS5JhCKtZ5hWTEgIal/dvw+sPvh2XVGF2OFqK/KXVf8D3Dr6S1o/JMbwMo+xM3GH34JPzEnTBwS9nLfPJ0TRjuQ2zHBvHSVKShnY+i7khZOUdGWsbCmxgNMumvWpAhe38U8MHBYmGAmZZMxlGdC2jWaZJp0+U4rmevIYv6PO7l+GU0ZTuupjBjzHLxq6IJKrROJ04+AWaZQp1KJ0s1F3frcY3/oQzgs5YjuCZ5TrjvOc3SChUojlflyKfZSEx0GbWPlR9ZyjEAzJPuxun4A0rEjv4RWwhGSwNmuU4exlnlo9f/lz844F/n60j/a5sPGZ2z0qyMxcNIyPDIPTUCCNhlukeesm+7Hk6zAj2uNqOPSmz7JeIS5plxywXJAfxoquTG2U1yyJp2xzOVGa6Zl4+nsvydNelWOE+GkGha3TMcmosSylxv0OLLvrHhdWJ4D7QBONBvbvx75ev8fXKGAdOhsFu414cQM5WNDH2O6MJhqPaPZg295108EALYzlrLYdGciy7iGvbVKXZNMs+I6W0cXM/dqOJcU9pjY3DaUjkkLHcEypglnlinpjY6KN2jmCCy5mmMffsPJONY61/W4c8PLOc7iu+FtxYRrpymDDLOgodx6Nh2H5TQyTGcpM07kxj79bsDIFkChVIhsE1g/5zJVowy1omQsqhrrwMowWznDPHBULWuFSN7GZJ8WNJhuEd/HhQe+dwkmm8quTgF8we83VyZTMyDLrVPTXEEMZYvvSC5aBcZyyfGjT7H2hm6oeBseyPmmimWXaUWDkpCQdNAp3Dh6BJYcFYLiiM+Db+NxgAnAFiq2g1y3NiDCXyXd8kmkQm12QOfiYaBpNhCIl9Cz2s2pTA63o+mBRO0yw7vb/2E14TvrJr9KcbTcbyL77+I/jPv/+RZAJIyB05xwxkcgYtITcBpC00NsQTuTQpScMkcpZJlew5ZplkGB//ijeWzcUVlBa4BRdhCwtQWrj3P9YscydXPtH7zI1HAslGEFUmQho6jp1o0kI+06EZThK5OxmGEGnM+Pg5TiIZxqrYhunVzEqFS45W5WUYXQa/swA6kGGUy0kon/axgBqkWfa3ecgy28QDcmAsU6eSMTqECLJWF5OS5Bqc0yzHcZaFcuwBNzqy2c20QC6CQFMGv2lJSQIHv3qIHedQEt7gLu7s7pAboKeZYdxYlsIzy5DeecOdNYmGUTKWQ9lPr287yynRMLKI98X2RLSbZ/BTuZizYDKRUtfoGDEFETFu2k4pzMBg2EEeAUPSsnYJxCYHzHLX3u8JTLuvtdJFjWzOoJi3zPK7N78HHx1+W+O589Ew7Lnpe9LvRTKMxivMAKZZJhkGRUGqKLqR1Sy/q/dsvKl/lWGPRZlZptUUfp/e+J7rAsOaTzrdBNtPF6NKssl9N3E8ZTTJMNo4+EmhM8xy1F4jQu1B/SP4vrmvwnAMtScZImO5bSKqM4G9W7MzhdjBb+skLq7M0g930CHNctPLW9MR0jvTjbVvRImxrDmzLJJrBtUMclznr5+XYZCDX1iHHlgDZiG4co1XFx38yqHjEs1yg4NfpYauwxadcXzaoYtfQoycZpmWValNmMEykFokDn4lzbI5x9A6+hyvDgHwhiyHcZD1bTKGFOE+AdH4Xmjm4KcLzDKFwcomcABbPhYaYNIUuqDQGqtyy5WpAmY5XXIGUuOLZ/CrlW6UonTYHeo2kRWiCC85zGGEn1j8BM6Rho29W63gVEzZkiOfhsDF5/oMr02XKJEn2fPKyi6IK1SWWd7RfdRahMwyBIQd7xTzWeihDt4Vpb0hHV+3J5R7v0RVHt+KSUlsXTqcGtzdnIFZ5imqBeCewzs2rsBd9So+PnxocoyKVqXvVx0112bx6UUVaZYpCdTUX3HvozOWYzAZhtJA/x9+E7+y7+8AAL3KP8JKqMDJLgfHDttHP0YPWosgXi3HJGGp8trPXk8GHaJkxgJHY+g4MgqCpCS2AxPc4STDLCOfwe/5S9dgMDZZ9kovXYlZNsuilq1QQ2xrYpZjR7LOeD4VaB2NPQ2GADHL9MyoJE2gTJINosRCw6LELA9rU/4utR9HH/NzuGbpyeZwOUjK7uh+owyDIApf3NI2sbSCJCC6yBwT81XWLIcyDH5BMwAoLEmT3aqCDqRJJvJo+X7zPbSCojsZxj2CVlFGCjIMjh9b/AyunL/RsGZIE5LkkF3xizTLqfRD4Pse7tNVz7LgEp0oLOvGO+2Y5R3dD8JDkoMfDXekSxbQqIRuqVnWGAjPLEuKdiTyE8iwzjr/ucOu4Feey/sSqFCSR23jqFrGa04+G8fq5eSQ2D9lqPum/WkFZ3pGxrIPJTrlR5wBdMZyjIhZFna23avCW0XMcrVzEofkWvZU7sFbZnmEPrT20odJI7NMMoy09c71qzBTWcygOclD7veFzLILD8c0y/ycVCeeoUcVnKMA4IL1L2a3I6pT7CAmWL2l9lmhkqX0rq/cFUpyhjYOfrGekiZaFWq/fJw4+OVPzAfW0aHLUdsU1EqmRsYY1RRtZmhJCxG2F2+A2MGbXSPWLO/oHk6oxeKqDzspAG8sqyh0XKDtgwrauRTNxnLuYXSh4+4Z1HUbY7nEspn2vvGXv4wr501iKtIs7+h+9hiOhshxjnld1wtpoeAcLd6LhusRtPTvMjHLI/ShIFDB+uwQsyyM7FBpCSkUloQxrkuaZX73iBwhmROXYUy1i9g7VbeIYtKhGbuJhhEkJWEyDC8ptYSglvjN488N9gHAmprHkhxazXLtV/aqkCQpkhR7AHu3ZmcIgmmWebuhRCTuO0xSkgdd8yr8l/3/T/Zczvi0DWOo+1YnSoZqA7PsliPSzmG+X01Jd21fhgbNMnVwPhoG0ywL4c5Kv2HbOtwBprMsxUMc25Bv+Rr5T3G6a/9bzH5nVHVMwj0H3Xx7KXScZ5bDFZFgwtMyznJJ3qBkzsjwbFautcWss4gKuubvhKB8whfW438//jz89onn+N84lVnOaJaFhFDeAalCLMNQjQ5NOWZZxZmROpwWTPd98PuzEz+loDd8aMADchNAS2a5YeNRtYK/2Hg83rbxBLfr4/V3YF0v5EOBtkDjT3WrLQqy3kEtB0aUYQ1iDTMxUMzZtobAABO8+sC7ASCjWfbM8qv2vws/vvhJ19/TGCckl2HELHr+B2gAW9ujmX57hxReF5+TYRQOiphlskvISN6xK8EaAie1CT3Iw85uqHksiqE5v2IyjCQahrV7Oge/swAVDx3HWk7EWpmkJNNuX2gsj9ALmeUkGkaYNtScIZ15zw2qoOMsNawmzbKKpCBcs2yiYVCdzP5t7Y3gJmZ5bNOill46J8OIl99EuH9SmCx0Dn6njnh5tISUWTagAS+Q0pAMgxz8oLJSHd7meftUGRnGNHgj2VPLfACIr66DSWD47hmHFC8vmurgJzSAKM4yBKrRhvsmRcgsV9Du/kwFSUcYs8zf87e974u45vo7252rg8OS2EEfk6mMvQyM5RCku+SgCCiTwmQwQI7EYJ8/OboMm6y/vU492B6Wrvy1PH0ZdrzrQUHUI9TSkCJcTmFCfUk35ijIYGWTTyzDDH7AitzBE+e/6N6DcYZZjiOtp1I7mjiKYuSnDjOgUYZReC8iHxRJzLLtz9eUGfcHzBeJ96Gbeg6LwmaI1D4aRqxZ7jL4nUWQUqLWIomGYQZhv6ESut2Lq+GNZcs6tHHwozISOmk584PKzcyBjAyjsN2ckOpA8WSF+z1eL+dZBGLgtjizjLyDXxNySz/3q47i6QufdTXW2g9SE5Vnljtb+dTRzlT2EoCEWSZjmSUUyIWOi2VG/BzmvKydZZll7sSX2RkvNyebooOEcMZBLfIMoH83C0YPz+CnQwc/DYFq6CVZEjpIVmFkGCnjvjOa4KrXXo1//cJd7Fy2PoVV549cewfe8ndfyO/sUMRrDrwLL11931QZhgiM5VzZcBvJMGICJHvuJmo5g1HmnE29b9a4LxZmzLKaoGZx+E0bB6A1FLyxHvf9PCeADhz8fOOlLLA+GgatYnpmuWjkM2a5M5ZPHW4sztzwclISHjpOwycWMedYy8iGuH2zpeewZJllrZkMI8ngt3dN0r1bszMEAfNCGwc/zurEMgwVSSF0EmAbsN2AbZRkLJcc/OIZurtO1Kh7lQwe3Cyh41CFRgC/pjOWhWfr6GXY0Z754wxcAk3JTaLNrq5+zy/v+wf8yMJ1GGBiF++0MyZcPM54ia6zlk8b7Dg4FbGDHw//5pjcjGaZD6J31avB/qQumXfHHlCul2guE4fjAsCS8hTkIG4SWYizzJMpRElJtBCoRuv+UtBB6LiSg9+RE0b7+ZVbT/pzMRlG1+JPLy7uHZ+6QhUwy/FqgNbFWUxxksXQYt4XwOl82xqKDQWTX23fB6PB90aMCXto255SAaubOqaHK6KuD7BJTgAvu/OaZRaCMa5jcrt9dtnkWXSYGcrZB+m+4muho6QkiIxllRrL/MluqgEW5QgUZ5nWE2QUOo7bIHsNnbEcQQiBWkvn4Oe3xzIMjR6TYQwwTjw7/cGm3A4Zy4WwbLH2C8gbFyLK4MfrGHzPVsV0VnRW3vG5gZ/JMCiCAHfwM3GWC9IPYhOSHq+hTm65zy/jT5wx3jHLpx3sHraZfPgnkTLL/kQps5yNG84HO76UW+WZZeHeg/LSNW8pU9MAk4PrFGY5x4qbk8RJSXjA89QJuOKrUVOiYRAOyTVcdPM/IW775WXqDrNimqNYyCyHCKeOIdoxy80yjBjjrAFePqLNOOAgvQxPqNqtJCrHLBsjmhz8jPgoZpbz0TDEeNttd8yyJiOJOfg56Rbd2czkBNZY7tr+aUM+g1/h/irlCQRGHNK2LT2XOchfgJhlqKjfLNlMe1CI0RnLEaQ0xkAVOfjFg7UUKhgbF+QYEAJ34FByThHJMGhW1ZSUhDv45YPYl7WZuTK+4vlc7LxeUnAZho2GEXSIZQe/nGPX+taIORWkL6MU2l2POtqxEtnzdYbCqaOtDIMg3LJquCJSQTELLg6zFYaUMvFnvWbRlPVQomAsi/BvuC8n0Zii67RGeYkBLK36OBAjlomzPDcIf0Msu6hE3sEvxk8vfxgX3PkRHJLr2f2TNpEcOjRiMkWzzKVH8TP76m0ncefRjdxh5UnWFDQ5NI2IjQ3KN5wr+t70S7WL/qQh9MSRI7FmuWY65cRYLkTDIGZZaeH8G8axDKNhUuJPSoaZmPJrOrSBl0Smd7zJwU8xosBFw7D95bSYJkPdt0EEVBANQxRIkr2IzliOIITAREubYKMsw6iggzjLC2IE1DVuERelJ5UUDYOYZbM5Wc7KJCURWmc70oBZjnZ7TVLmB8pYhuELhZ0gyTDIWA6X2uIO8/rRJba+tGTm8ZI/+GgjJcxDDXkZBrHXHbN8OpFMNnYjw2AOfjHb6TP4hWlw37F5Bf5840rcVp+Tr1dBszyTI5OO3O0odBz/zZbJmGCKZrkkM0oy+LE+YC4ylqEDJtnIMtIbHj8TcoYqZcQcT8qZMju0wzTNsjcMZWIsn9wY4TV//qnkGFXIbFo6d4CGdu763pZr07NEEhAsdJxgBhFpljW00eZrn6iqKYqTYaBN+62ssTxCjzHLJCnhoeOm9Ul+4tINAKcOdwezMozC/dXKJXUS8ON0IB1dPIAbRhdnD3cr5VqBx1kWVZXtazsZxlkAIfLMcrz4ZtJd+9s3J8aAqlPGSmt4B7/KHQ3kmGU+Qy9ruoB2jg5NSUlokNeQzJHR64X4YAGkS22xZvljNoOPY9IK/V/2t3AZhv1cq3zn2Ck4d4cwAIb/0opZdmVD1jUw5mIZRqRZ3tZz+PTo0mKddJWPhtGUvU5kyjQmthQCwl6nzmQMBLixPCUaBskwbPnz9i9gMDAG+I3jC1yZWLPchlmmay+IfJis8aSLNXuqmJbBz6VsFrK5z2JozyrPJsPw/hus/CzGRIOB6eIsCw2hmQzDapbp2BrMWI76fv6eK82ZZSPDGOoe+ggd/IjsMZlAEfy+pLaKaZZb/NwOzWgi08q2sl91EJxZ5lKLp70Kf7Lxg8mxnx1f6m0dNbHprv0qdi6CzF58zp2xHEEKYY3lOgjbJIVZjqPORCKMhrEoRoCuEwNYA65VEkNAiQxSB7+U5RXIM8uhDKMgichty6T5pd+xqNb9+ahjFCmzbGsVnMPtL6Q55kcm1w+W4mznrE0dYo1aRyycGjSiwYjd0O3hJC4OIFySBny7NZFabDtI4izrbEZKDsVWTeJoGJ8ZPsCcp7HXDHcmTSN3cN9o60ohvtrHWdYuzvLKYh+v/fkroDePAwC+ML7YlgllGJf178L9e3dnrhmCrr0gxtkCownd6w67xWTKhMMZbiJlls3+dFtxghUfm5UUlcs74zSYCDZMIhvOlTCHJMNAbYzlQIbhNfbk4MdDnxJiZpmOIWZ5qHtuYk3jhJTSSVzcvSxay74OnQzj1OGTluVkGIWVr8mY2QDCTSbjlNYxll/4VvzV8An+3VA2ihCFqZVmJf+mybl4ybGf8gfuQWq5M5YjSOvg17MB2f12bY3ljHMTYMTrKGghbQOkxlbSLPMlvJPKBPa+Q52THRXDOMv535Ld3mBtkscyj7NMDkojHf6ueCmO9Ng5GQa/bF6zbHTZGj4O7USVZBhdZ7kblBh5Lt180Rs+ki1TkmH0BJveqTgahgoYp2ydOMPNmN5XnHgO/mLzSnMeshOyE8bwr9bTtfyiR8Zyswyj1Mro/DzOMl1n8JhnY+2hz8A1w4e4MtzB79GDm/HTy/9SOLPBQbnuJs0LFJc0+kFkLPd7Xfe9W+jJsHG/l4blmeVscplTqlHZOMiet1GeJOIN5cJOhqEg1MSRIwoyiIWvGbOcOqaHmmU6RjpmuZ8mJRHC6ZsTNVWyLOnHlM7B79ThVnkzzSIr5Z8MATXBsZEhNMIMftwOyfXR0gRNoOeua6NZdqSjIS6K0bX2EKanG7qPQQgfOo6DvishnVyAv7fL0joz5OYfKlyColbatGx3e30Av3fyR3Gif15+GZA74UcF/MuwuwYohDcALhRHAAC3RFrTmF1wjhvUsRU6taaBh8dZVsRuJzKMDrsClzzMeBNLMowwKUm7OMtBlVg9eNzw42rZb29ow1mGrmG/ACCmMMuqEIXFIcrgp9jMsn/p92Br8FBMPvFJW0ZDivaSiUcPbsLPLPsJy2JRhmH6k85Y3j14pIbs/mA1JTfB99uGuoc5MWkdA3hWZjkXo77pUsm+pheeMtYKFTDLNUy6a+rPa5bBLzZs6ohZ7tt+QVL6bN1zOnwyrKUwrD3P4OfevALTUnoWHWZEowwjMwncMc6sm8r0nUaZH2bwM9tLYD5Oqrb6Z8ssC4GJrpIJ2F40nbveNgIxyzFzLBIZRsg8k74wt3yrVbgEpTXFsmwONn9Lfa5xMGGt+sefcKmrpz8mby1nX4aIJQSA/77x/Ukd6JxLMIPK18dhlI9UhmHjdRbSHPuXMH0ZDftmGTtmLBtWJ46GkT19h12iXei4UIbhmGUeqYWMZWtEyJbM8rROsdnrXwRlNHRhAGDHFIxlMjxdfPNiCkomQYEyjk9RnXxCoXah4uhSD+/fGmwnYzlm2kY2DXmvM5Z3jfPXbsB8ZjLiDVPbDwkTBeI8eTIox5/5ju4Hx0zDrKHjcuRHIw8yg6VBGdQkFCSXYWhpW7Lvj3kGP45J5PztnHzVyG2LNctCCGiRZ5YTsGgYbe9xhzJ815aTYWTKD42xvEFZJQUYs8xZu/z1BFjoUE3GMq0wmPEkJt/2oArj1I3ljY0NPOMZz8Ctt96a7HvjG9+IJz3pSXjWs56FZz3rWXj7299+qpe7xyGEwMQ6+HFIYR6nG0yFDrLaDGwGJ5VjrBRld7L7LC2cY97i+Mla+zZ4aP88nvm4B7p6JnVPvrdrsf3yvAAAIABJREFUcZ8ZPSg5EZ3+PfKpuG7p+7CtBviydVwCUmPZyzQKxjKdOssGcmaZL+8YZnmRLUd3Mozdgd+1We9hzLVSVBdq8/aktqyfFE1lljPXSK8dGsS5ivnEKGHBOJmPEIDoGQe/2JD/o5c+AQBbMSlM+nwGP6tZjgOws3NU0K2MZcI+uRV8X5ChMUeXIQe/ftUZy7vFw499ED+68Dn3/fAJQwrQq+Gy0Nk2/Ov73xsYavwzvQ+tjeXsxnTrVx/0E7hh+YrC+9rE480Aaxz3oEIHPyuR8JplWv3RiWEThjz16a6FJYkkdEazLABICCb1KCYs4nGWgSAzYIfZ4cbihn3BNmKWbSxlCUZqtZRPcBmGVrV7rxyz3FLvfyZxSjW89tpr8fznPx833XRTdv/111+P17/+9Xjve9+L9773vXjBC15wKpe7VyCEMYh7iQzDLBeRpquCCgZUmjknOmSNRIbR5ESUk1SI2ChAKMMoEMszzc62Vd87FTID4OvyUly38v1QWuPN6z+IXzn2vOzxJMOQToYRFWCa5XhXEGdZ0EsooYXA3G2fxn898E5cUh3Nn7dDK5RuW6sMflGcZWLSODOn7YSQOlGpVVHqQAgC4AsBsbCK6+tw4tYot6R93FYODs4cZI2DWLPcs4anT/k+hVkW5v1PPPSF+U9pk20snnTnYa61T4bSAFqtip/RuNMsnxbwAfrlb7oGJzeGSYp3xRyiwwyu3FielVnObMuUO37Oo3DD6vdnVwqbQyo2d/y/94uPc599NAwFobyDOiUl4Qyiy+CXLJn73x1k8NPMWE40yyTDmJ7BjwgYejff86Eb8aI3fLjxN3YoozG0bIMMY0MZZjmMhsHfjzwowpg5QJkMfq4fBT4/vh++NL44OmbvUcun1Nu+613vwm/91m/hvPPOy+6//vrr8eY3vxnPfOYz8cpXvhLDYbNTxV6AtN6ZsQwjDqVmmCUf+YFYtqyDXyTDoFZKnfXtD3g6bu5fZnfFzHIhznKTI1ND7nePcN9vnPgJvHnh59weOj939qtRYYh8iK8LD+035QvRMPhsdiLSeLSmjGafzYXlyLyol/Xusj+ts5ZPCbHvzEwyDIMdRcby2LcxlYaOm8YW6Mi6Xf6f/wDvrsPQQ5E9nNQs2SLSvcFvbFjVAYD3bn03bhhdjBvrfLzQOD5sLJOiTwomEYNskZ6XqrcqQmN5nqJhRGcfWc3yoDc9tXKHENyBaTPKOra5M3ETOO7gR8hF7QG4DKMt2lnLLk546/MWTxXg4Oq8/8Id/HTtJge1FpbE0Pa7r0/MJq4rf74gmYkih3HtIruQI7gZX2xZERpvxQx+9rof/ORN2B52scZ3C+ds38Ig/Q9LH8XO1W8CAGzQ+yKAON21PWHxPMrJMBSga09KSIF/3H40Pjy8fNafca/jlIzlV7/61XjMYx6T3be5uYnLL78cL3vZy/A3f/M3WFtbwx//8R+fyuXuFdAsiGbCBIoHWYMNltovQ3tj2dzS4/Wi26cTZjmMhnH3RVfin/c921w/qk+poxQ5qyDzW0qgF+Ylz30kAJPOmlJa8+OkaCfmUJDGCaTEpLFl+jpi9Ry7oBmjQzIMixXrQNnZyrsEjzzB7mGb2+llGLQiUmGspTGW3YlMG6dJZpzuOl8lbnzYv4l0oiw38isu/nxh+awFAqC8fHhUreBPNn7QsYUJmAwDWsfKD3dJBYEFMcKDe3cCaEhyEiB8GilTab53zPLuoLUJ9/lP298BAAnrrwEXLtRNegQ3ln35UIZhowScZmbZLlLkHfza8yCNtRI2dNxzFj8JoSZufFNWiuj6Yxs6jvYRXn/yaRjBvysaAvvkFvqYuPGxgsJ+uYmTasGdn5jlFbmDpy183lZb5yscZPBDMjZ3mA2zyDAeO/d193lLkQyjEA2jcD0eDQNqEmiWY6ncXsY9Fg1jaWkJb3nLW9z3q666Cr/2a7+Gl770pa3Pcc45y9MLnWYcOL6No1omjFCvEhBKm2UrZZZhF+d8pzGANZyrHn758AsCp4wKChP4lNGU6pOYt9XVBczNW0M141JdVcKeWuLQoZVk/77VBVOHuR4OHVpx59i/fzEpv3brHDi/v3+/N+oruxR9zjnLWFoyL8bcoIeFhTybHNSx30M9luhXwKFDKzi5E3ZoS8uexallH6g9i0bxehcWB4GDn6gq0G1dEsZY3n8g/U2ngtN5rr2MCTlUSIGD5yy57QcPLgXlcvcjdvDTAHb0AD+0cAMOy8tx6NAK1i2zTAOZFGF2uxxWVxcwN2fa/crKPA4dWgmyYgLAYGDadG/eD8gUJOXQoRX0KonFRdM+l5bmgs633w/fl+XleSxM5jEGUMnw/Y5/d6kPP3juCjZBEzyFquqhqvx1jm0ZBk1B4sr5G91xY/RQIWaK/X2gMmBl6L6vWiZwbr6PQ4dWMDdvYjUvLvTvM+23DabdC60VNmBYLqXT8J8HDyzigL3XZBgLlvFUCu2siTgaRrytCecdWnF9LWHR9rFSCmewr67OY+HYtpvcrqx4BvfQodXkXSGsriwE94LeMcC/T4QD56xiCGBBjgEFiJ55zxQE7tc7hnMnawAALSUWFgbo9arAQIonxEoLLMsh/tPK1RhIszojoHGg2sRx5fuaQ4dWsCUlHjW42W2jsy7bvoBwfLGPEXz/MxA1oO87fffphusvl+eSe0jjfoyxnHPP+n/aeScAWIPXt4V4LAHMM5JS+HCY8xUqCVS2nR06t2zj7bXne48Zy7fffjs+/vGP47nPfS4AMzvu9Wa73NGjG0FikHsDa2s7qFEls1ehFADtGCIJjZ1Nb/ANyIFBhRlptNaox2YAnDDnCcB3NBvrOxiN7PXiFSjlQ9TVE4UjR9aTOq+v27SiwwmOHFl3qVzX1raT8uqcb8do4RCuPvFwe6z/DVSH48c2sb1to3vUCsNhfpDnmNRmSboemzocP7EZ1dGY6AI60YsKqwff2hq5UFsKImBAiVk+dmwTy/3Tw6gdOrSSvZ/fijh63DiPKaVx9OiG384+A0juh4DCVcv/DMAPVotzPefQ+fzJX+Pw4R91+n2X1U+rqWzqiRPbGNlEKOsbOzhyZD3UMQOYTGocObKOtU2vj77k0DJuPryBu+9eRyUltrdN+9zYGLqJJeDfFzrl5uYQ25btUnX4fifvSaHfOXbMvC8Ua3RUA6rW7vgT1lHMJNXxx410lZFVGKytmWNKbPfamk3usGPerWP2WULr+0z7nYY27zI5ZJtpTurEfez4FsY75hk56Znyz2SaDKMt7r57I3Hk3rbX7UmBkW17GxtD7OyMXfvd2Biyc6wXWbkN+y4RhizZ0Gg0CfYdPznEIjt2ZIvSu/6f5t8HAKhrYDgcYzypA2M5CZVqdz20fyfuHpkIShIaB+Qmbq8PuGLHjm6mERDsPV1fj+q/QWFZyVg2lezafjtMaoXbjmziARcY43Nzc+j+xvdwY2OIVbGFCSpsMZnSUC6k5EeU4Oz4sXDMB8wzUspL8nY2d1CPxhjbieXRo+kx/Nh7E1KKRoL2HlvHm5+fx+/+7u/illtugdYab3/72/HDP/zD99TlThsqSRn8otBxtqnw0HFNMgyC1jrRLI9t58o72dhZyR2fbioiWcLOlJELq7j5+34Fh9U+e13W8THhP22Vop22yThGCsfIFCNvAahFJMMgRkZHXrbsZexkGKcInf887Xauim1c0jvuyj7x0Rfhv/zHx2DOtvcJqsDRlRxjBUsFXYLKyTCm1AcAfvl5j8b/9rxHu3TzXuuI0N0u7ttZ4WnJDYpzdMnC5sGEksw5XpVCK+bgV6GiS7l3IazMqIuGsUv45Bamj08fcqxZVuyhcBlGzsGvNRpkGHyyF8swZhBFF5E0+37IJJJMIp7YjbXX5vOQp/GEeI6vjGi/ynRAbuJE7ZlHc6q8o2DqR2HkTs5YRj7TaIc83vGBr+C33/ZJHIkivpQ6///jwF/j1fvfFWwby4W0eJwNuEEO6qNhKGib+ZT2nS047b3tC1/4Qlx33XU4ePAgXvnKV+IXfuEX8NSnPhVaa/zMz/zM6b7caUclfQY/jr6YoIfaZ/CDdqFxgObQcbFm+RZxAf5o7Ydwa33QFGiQHwdOUDM2rJKRy7dzY1mzUdtlKpNeqxaXj6EgyyG36NRIl+el86FmoYoQLvFQZIDYcOgwI2ZMH16xpWUNgSd/1yW44OAi5uxguoVF59wHeGbZGJLNDTbQLIt8I89NIlcWB/j2Bx7MnTD4WsooZco2t9Oi46M9vk/veyZ9PJDJctbQ1TbFIDf7w++kWeaGVYcWYCHIai2zCWNUFA2jjYNfbCyX5BH+2PLGKsg2ZTbnWkXTFWbSgcoKePxV7iu128Uoe+RES3feML112K7JyB5r6cikJTHEQNQ4qRf8ZQ0LExxbrLU2YwY5+AUhKztMxddvN1KaDbsCV8rmyvfFkqKJTOUZPOtqEwTiOMu10yyfTTgtMoyrr77afeY65ac85Sl4ylOecjouca9Bynyc5V+UZqZ1C4iRVZDMWO4jzywDcM5PPsakxI2Ti9xugTD6RHTw1M4vF0HD1LFQnn3my4HckcQ5T1mvZX8tuN77V449D687+FfurAoSshgNw587NZa1YVAQxVlmA0cpm1mHdigQy1OjYXA2TQOuKfStobGJBbdyYuRLyh2XzWYZXBvpgBm32ZarGtnPvN4Wcv+FAICTmKJvLV3Lalh5qMh88p9wYy4BUXLuwndnwDnWupsw7grcWM708dA6DR3HjWWuWeYyDITGsuCdZAZ5p1WzjRvaAiLbnkvnyBZEY1VMUenNAFUwlseoMGfPO2YxyuvoYmQsD3XfkUlk3PLjDGteYJbjSlpjmSbfcwU5U4c8knC0GT/Ktc0R/uRvb8D9z8/3i1pkgvwlz69MLYfprpVbsTmbHPzOPvP+HgYxy7HzB4E6k36FSIbhDYb0oNBYTjq6wB6NDd/pdZ61ucXRLlw1td/v4x6HRjfvzHkYOYpPLUoyDLeSmP4gPvC4OMsImQfTeeuOWd4l/FLubDmwuEERZ6sDiFm2Kyeib9LmwiTsmBaw/tz98437bXXN3xZ1jSVLqeEN9B56Jf7vnafhev3g6SfLVoiYZfObFapgkHBa1+i359nBMrttfktehtG9AruE9sZYjXT1EPATE5kzljmzzB7vMJLYyIZRtdSO6XyBDCMeJloaFjONB8I6UlvQ+LUkQ2PZpLs2jAb3yYknxHPcWLbESY9NLKl+JoNfZGyJjBUHgOKZx5rlDu3gJtnRAhYnSt7/qVvwhZuO48Ofu635JBwyfn6FQ8Haia4BlpTkdEiL7i10xnKEkmaZQOlAK2jInGY5xyBFMoyY8RX2n/kcQmtffnajuNg1+0+sup5Z9ta7kCI4T+yYwlFDOi1ozH65b5koCY6xYZplY5j5cpXQGGDSGQqnihkNL+ewB8uW2rawYcMIjUTfZdSi+NmVdaEqyTCe8KgL8eoXfi8eeMHq1DbdLnCho1yjHtt8juUe39AXtZKIXHbxKv5XG1rRwQ4Q3EchZP/Ml2msOpCGGgvYSrkIuGQw/NfwOk69RAcOSphEMoxMH+/8NqgfahE6Lnbwa2TLpjTngFkWLQ7YxTWS4oxZJoN23rZvcuQdK9/OR2xyEE+IPbPcc8ZyxRJNAWwMKcgwEltZ09SRmOXOWN4NaExulGE0kAQ6IQDaNzQiD4TyyZyAs8pW7ozlGFUlMXGsQ84BxC6XiVCzPOc0y+VbWmKWOZMrBPD7L74SL/rxRwDwHUUTSssspU67yCyz5V7B9pfKB+eEuTc8KclDe3dgWZBTATE26V2V0PafNxhqyGTmuihH0z3S7uPQWuNfPn87huOGWKQ85vKU8/UiGQY9/f+29nQA1mhgzDJgDGwJXXwXlAIuPCcMM0TnTdk0+lt+B/gg28QskyErBaCnRNlRGrjgwCKWFyLnLWKWLVumhMxSKtOMcSCN88uxLZbc3Ssxy92rMCu4DENk77+TYfAVLosr57+M5yz+G4BwYjOawVie1idL1ucJUZZhNKHdBJOdM2MsE4jgGesK0q5KhTKMuI824yBnluOy3j2hkAkw6+DHZBidg9+MYGQCmifZpV1apFHExaRlkjkRpbtmcZb3Yqa+EjpjOYKUArX2WY1iaKu/kVBOi8wRyzB4w6SOJxuUnm1bXRq4hAMBWdaCKZ51c87Bj3fSUrRkloVPkQoAUBovWn0/Xrz6/0UFU+NfQCVaQMNiRh2xGHUyjCn4wjeP48/+4Ut459Vfze63BL7/PuV+9iNmmZrCMbWMOyb7THrz2FhG3cgs1zlD1a2e5NmmJvhlRh0cUF7yFi3akc6fwK4s9ZnsKlcsZtxyLEyVMMe+TmPRhzPu7uXwmd+y0P5+k9TuJxY/gd/Y9x5XpEmG8aT5L+IH5r+EB1RHgmc10WEiqqbVt2lYXvCG627PMqv9ISpmLNux70/WnwzA++JM4MeBcYMMg6RFQ/QS/xXSN7sxZ1bNcufgtyvwaEGAn3zPMpSuz1+EuEXKOjSWiwEFgEiz7AMlnEW2cmcsx+ixANpZYxlm4DMyjAwz0XBLXQPJdINOhpH14KeL51t3wiwXtrOLOfCOXUXL1XSOwLguDAQmd590mX1oaf6C6mRQdYG8g5+2hUoZ/ABgQQy7dNdTsGPTwJ7cCDuy4LaVPmeQyDAY3OQokmH0Re1WGnIIZRHRzoRZnq03DZnlMos3rR0Zuzvzptpz9ll6+5yDYTsZBskC0rrwKWVsK7vy3bswGzIOflfO34hzqw0siR1oZGQYmed4af9wwCzXkPijtR/C69d+FECzsVxqzpvbpj3tZ8mbhIjaX8tXIXH4bioLuJTXgI90ccP4Etw+2e8cecfat/MJZ5ajd7yeWwVgJBcxs+xSHk8zlguaZSrROfjNBveEqNtQwdcQ0cY7Jvsglg7im+c+ftcrWYacCB38ZpFw7BV0xnIEziznHECgbdQHwYwEplOOB0kNoP+IML50olmOltvsVvapXcMS0VtRlkwwppgVufvkjtsWGgD+C2nqDqzM4U9/9UnBeRUEoGt88851k9aSQQN4ycr78ND+nakMQ5jEKxrwSUm0r8SaMo5gC11EjF2juLw25TiSG1BZ3hZqSAhoaPusyVimOKizMMslzT6XJ5XA69QuDbwox1G2UBFLHZxfSHdfSp1+GxmGM7gYs3zL5CD+bP0JVrNf0Bh2MoxdQXPNcuSXcmnvMAAmw7Dbc6EB+6gDZllB4MbJRVjTlllufPT5nSdsoogDgbGMoOG3HgdalWKFqzAaxv3OW8ZPP+1hWFr0dZkoHzqOM8sxOdR7xq8DMP04lynysk5pkhjLBWgFsskVhGOWO+KkJRyzTERU+/smBDA+8EB87qvHphq4TX20i5qirWb5LEx33RnLESobOg4oMcuU/cnnRx/p1JuYY/5xL8DHH/1K9z2XPKSNUXDa1iwKzDK/Dm0d9EPmTEaGyd/PPRP/Y+NKJ8NY29jBb7/tk9igrEvUy2mNS/tH0gqAjAZjMPPlT3o5TyozCBkZxq5+8X0GiedzBJqU+O/NNzRmlnlbcElobJzlsTWWH9y/y+7Pdy+USSpX7zSUXPs2H/+UsgyjnKGPn0uUTiJkKMPIGOutNMvRZFwA+PrkPHxu/MDoGbECYM+vexdmgnbMspFhHJA+e9glvWOA5jIMMqzTNjwQEx+5AalTdxOzXNq1tmGIgAMrIbPMcU/ZFdzBbwIJKQWe8KiLAmN2pCSETH1oeDt/68ufjOVzzsf44GWQ0BkZRrSymoyDDZ2WPUZr4fyDuubfDsLdOwR/c3cwnpgLaFz39aO4+fDGKd3vQIahvQzjbCKY77F012crKHQckA5mgJdhmBBnlllGBdjMRSUZRjiglvdz+cNuMdXBr1CvoH52+8piPzgPMcu06Zu9B+HLowN4CGhZ3lx8ODJMSe4F0wBuHF+Ah/bvNPUEpfTmSUkEKpuhbEubEHV9UXdswhSU2RnNPra/hyGzHHJbSpOxTNFejLH8k0v/avbb0nwyednFq3jq996/df1FYXuuTKDv59sTI1o4lrEJRoKUubKUOChNmnBV1CzPIsMg8GfEl6XzzHKH2aAjGcaFvZNu3zlyA0prlpTEIDfp6VsHVkLc5+8mGsYJm849kGGUizei6fJxWxIQgWZ5hJ4z6HkkkDFLShKcr/B+mAy3kbGso7GtKMOI27t3FlYQPoNfaLd3KCG6R+490Hxb+XAfBcOf6C3bT8GtwzA1dBM5QTbV3OiE06A3HbMX0RnLESoppzDLZmmugnLMMk9lWydZbcLOF8gzBo1GwYwtatpYOs1hTwAYjkxHt7I4wPbQSyqEDBu5Y8RhDVxrXEk2MMV10hD4o/UfwUG5jt/a/zfIpZH9vodfgN7IxGLYscayTOa9HQjjiXJOoTkUZRhTbmjo4IdgJK4hTbSMSLNMUFrg147/ZMAw3+/QcqMxUYqG0fgSuF3R0F1g5oRoSGedP3GIyQjnVsa4mSAfsSA2snKXc+mWM3p+xcz0mAX3IaA6zAS7AvLIBx+CuvlmAGYid3t9AAflBjRnll00jJwMYxKwoImsrEmzXGhTdMi+5TB2PS/elkCZWefPjOWJ7rnjQ2M5JxUEsu+IqFAJlTDLdC/d/SkEpE7adRC9RzjNstIa8qwyt84MPGlQmIxwJMSCH3P5rhNqCSfUUlS4TM7RhPKSo4ZI6aJhfAtASp9tpoc02oVxQTMMqjOWmfSiqOsJpAzpTsGtTuSH6VmbVakd8s15FYbA+pYxBlYW+5EMo3y9Gj6FrFCRbpXPYt1fs4+YZRNT2hy/ujLvOlMK+i+hOmY5g2/euY6f+71/xme/cmR64QjTph/8HYiTkjgHvygaht8vsKnnsa29AVDsUJtoiSkIGORA45mHFKJVOxJi+uVNevvUWm6nWSZ9vp1Qi3Bgih2e0uXU7l2YDXQj/erhV8cX4K56H86pNqChUUcOflljWYSa5Ri7YZZf9vzvxE899duiCe/uDIlZjjISfD9+jdFz9ecSlLGq2utLZWVliqXQccQwl0LHxSf0DmHcr6VDO8RPbRYpI5/Ac9tmlJGbNk0R4/dInYXTnM5YjlBVzTIMwBoJghnLtMwse42zK/c5a6FG5WZoSaVsebPGWeb717fM7H1lYZCVYVAFvZFvJhHElgnmTMOqFBzrvaPTOMuAdMYBBcGvhOoCAGTwjTvWAADXfvVouVBhyS2+n5s7Y4wnflLCnVzjVc9aCzPRoQyVibGcdi8pcxyzv+H3Qv6C4klFZjNPtU7b2wwYbV7BJBqG/dsqGkYu6Yj2BrE7V9foTwu49IZWD4+rRRyrl7EqtqAn4yR0XI78iGUYMXajWb7wnCU88dEXB8xzHImodfzkWa0QLsPQPf/eMGPWJN9pe30ziU40y5SURPhywWGlFRO2bE+RqMzm7r1ohTg6SkPouHhTaQWFx9pug/g9Ero+uzQY6IzlBFII56TXK8gwtBBWk0XRMGzDqVJVC49d7K4RlRECbp7VmHxhZmq5RZGcsQxgfbvALEeaZX4MMY0SCufd8n4AjEXOJMIg9k1Cs6VosvR9soeRY5Z1ZyxnQM8kjjO8G7z49/8Fv/dXn3XPKNYs0/kfedk5Sei4MVJmOUaRQD4FDZsofBHeWqYNbnsrA7TFC5cwJOTgNyXVN8ANssK74TKfhcd178AuwTwlieXc0X2c1AuQAviDt38cX7ttzZYwZWOH7R3dwwCTxna6m2gY2ZIiMpBb28ozvkXMwS9glsmYFTYsaNvTSkOaSKggtFwdj3FxumTHLEeyI2YsAzzLa8v63MfhJ93mb95ILt9M348zZllljOVC+8i1m4mcn72dnmF0xnIGk0YHP4qG4ZOSOBmGLM+2RG4Qp+9IG1TIMITLr9PgmLQis8w6nmzPLrA9JM1yP6hLVRgJhIANx6Tx2MHXsP/ua22d0/JclwlYeYXZETDLhBG4sdz1kDHoDreVogWfM8d85daTrlASDcNe7cX/7juwsjTXKMPIPftiB1nYPEtoISPjybW36FICrRN9TLt8DZmte6pZTgs5rT6bKPrJJX+unHpmmuXuVZgJjlETwt27oe67dNULcox//txtAPhEJsSO7htmuUEKwNvg+QcX8fQrHoArH3khgBb2bmAbi+h7S0QFc0SFKyoiBz8WT9nJMKwx3Z5Zrlwc8jHCsHTAdGY5QcAs5xxjOzQhfmze0TW9g6kztM7uG2WY5bbtc/EnX4Nb9n3XPRbd5Z5CZyxnQKxDKXScgMYjqm9gdXw3AJbGWmaYZfs3tzzsN/gC2QbUJttY5mubRFKFyHH4+R97OH7wuy/B+QcXs7INkamviRKioqX71NDPMsswL69bmpbSLZvS/e1kGHm4cGUNNyeYZGQiYzyq/008qv9Nv90+k1IGv0pKQFZBBr8TO+E1s5FhMisSjRtarY74Oje9Z/RViulxllte2saaZhNbtn0aYoNMIDQKikkaOuwO7kZK10cNdd9p6r9zcJOTFJU0yzt6gL4ImeXY0YnL7OZ6Ev/uBy5zWuRZDITsONECMycQrJhmWff8ShUZs9aYbnteLSvXbwSpsaOkJCXNcirD4JGBBZMvdS8GQasJdD0ls2Esv2jZB+Y0y7mVs6YkUBzV/otQi6ozlr8V0BgNQwP71QkAwKVbnwfAmOWMDINQTJwAwyA4I9RvdHCB8k9T48rJKuL9l5y3jBf88EOnprvm30boY05MAkMh914S40gvHHV+hlmmey5ZSLIKtRaoOge/LGg1U2sf3K10n+Lt9O2qlQ/jqpUPs3Lmb+DgF59LVGaAs1EG7jgZJ6LJMcvNSO2DcHLWiEhUXTpEiJYDrZi+pK1EFUk/qCrTKxwP+vwI7kw5LXTciY0hXvFn/4bj62HWxg4RvCbOMZ876GNZn8lpAAAgAElEQVRbGWP5qQufxxOrz9kieWN5W/eDpCSvOfFj2NTzQZmsH0jLKsaTvd11+bMdxR38avj+3hnL0jDvbVd5hJAuFnKYgyBMRCESGQaArNSOTSLZ6mM3FHhsvuNl2PjTn83u87HfDbKkSuFe8tUujlP2o9Dm7GcTOmM5A5oBZzP4ZTDhDn4lBOxseV+uAU0f2OMlX7pOYabH9V9ZB7/IIGZfXZzliAoXQmCIPubFOAjS742GnC6TgtR7baaTYQjpjLBaSxNpo1FZdd9FINNxxloZuvglRcosi+B7BeUz+EWxhetcZ1jqH3W+gA8SU+5Y3e+Py7n7Emsg81kE21aVY6JFlnFr4wCTG/SdREmXmWUv1TCf7jy6hZvv2sCdRzfRoQyewa8PYpZ7ToYBAJdVdwAIkyNx7KhB4OA3yUQFyEVE85O+Ka0qaL6htTx7Jtd2ZSVjeLXWaTQMa0wLJl9phKzQR06G4V5m+zfjAJw7X6JZVrS5g4XePN6+rOemcnuDb6YpkLHN+v4Z7j1vt8NqyV1l5hWQM4zOWM7AyzDyoeNieBlGg2Y5+JKys4m8gddn6sCeGgOZy2Qr04YFybLimXqOxADzNgamrxkz5KIr0MvnvJvhk5JoIeHi91q3QSk6ZjkHeiStZ/uBcVZioM3fXuzgx6BEFTj4Ha2XsXngIewcadtK2lv8dcr3HFwRHZYvLWNvDacsV7ri0y9ex6HjLE7YrJOE92w9NikTay9LnufJc40Gu9Kq6nii8Ja/vQFHT0b6mPsqXIg+4bT4XIYBAAfluiljv+eY5QGLs5wbD6rT5KSd9sO7O26WA5RiqyORDINf//9cewr+fOPK/Plkhcoy800yjNyswjCZcXsPo2HIYovv0AjqNxqs5Syr3/I2T7M3XnHiObjm0l/0deiM5bMf0zL4hd+llx1UGWPZGa7M4MxdtKHhTEvN607R0tLgW7MsSIM945nldOdQm+xT3CksFxHBd3V0Li7DYJa+daCstWQyjOxPuk+DDNCmZpLTjO8TWxA764XyGc1yZIxqISCYg5+CxMb53+X2twmfFiO1bzOzsmkHxcdGaD2pENMNlCR0nP1yTIXZrb4+OR/v3fquYJtnlr0Mg94Xziwrth/wE5zPf+0oXveXn2EOOyGu/8ZRXHPDXXj7+29s/hH3FWg/OaFJ4A5z8APgEl6QsaeiBuAc/BzznJkQMsosXjCZZh/Ejt27ihgwo0HOiwfMspNhkGbZl/z65Hx8enRp4aT+vZ9kZRi2WJZZ1plBVgWTkot6J/D4uS/fZ03lrZ0xjpzYbl2e+3QAs7LCXLO8O9CTO66WMa4WXB26aBjfApg0ho4LH7AWzFhukGGI4herTRP+c1xkliDiHMWHmxncw/pEzDdnohuiYQyFYWjm4Jm7XNWTaBjCJ2cgraAQElr5dOKqpQxjezgJMg7eF+AGtxlnEq888Nc4/+rfyO6jMw0Ef5Zh96ZdVBgrl4EMZl/Z0HGF/tE92V0wy/wcWWY5Japaoc2lVZSohT7HzDKQTh7iOMuxVMlVP+qGePW/dPOJ4u+ZusJ0H4NmN4QmgTu676LtAGHsd/6dYBz8arc/t3ry9Mc9MNnmyYXZLNmmKErFw2Z84Ly8YhPi2FgunXbQl3jry5/sN7AV1gl4fxA5+M2QwS822H5y6V/vs8TJb7/tk/jVN13TujxfeQP85DsXsjKRYQSlmttVca8IR43s5rMAnbGcQWM0jHjgFdIZBUL20oG5YASE8AxCrAUGuINf/iS5pZOm8pwhaAqgnytfRVkieHzcoY2zGxhYLMlCWDtzlNICXLspoU1sTiG8EaYlaohWGfxe9IaP4EVv+MjU3/StBCfDUG3cyloa1RpYFttYFjt8U9Au3QRG0QqACNiifJzlaCI2bX8rYtm3sUZts/1b1y0zgBVOtfjjr3Cfk9Bx9vOaWkiOiw2rOLGFFFyzLDyz7N5nOlF03liX4a7X3A/c5+CMZenihw91H/wBCmj0MXET/rgNj9BDH5NGZvmic5bwWz/9WHs+d2LzZ8qjCIiJ6b8of46ZCkfkT4ZZ1lyznL1edEVZYJa1Hyv+f/bePE6SozoX/SKzqpeZ7lk1mpFG+74LkISEQDIIzGIWG2yz2L+LuVxsjDHeuNg8Yxu/x7Wt+8BmsbHvNb5csI15iM2AMfBsxA4GJIQkkAQS2tA++0wv091VGfePzIg4EXEiMrKqeqa7ur7fb6arMiMjozJjOfHFF+eU+fm/kA/2UtZwqp9VZV2L2OW6HaoD2dMBEM0y8/jcN0zfWP3oUl/z1D1LYqw2+YrCyFhmEJdhCHxx/XPMd5EZ9iFvBZlP272UbxDoisNUID0TbNg5NNJ7Eri6UssbhnA7PJNuESWzvE4s6mOGESBzV2I0FBB41uSteOeWvy87ahRmANLeMMpnnAs5imbGwDDL4TRNt0ZKSPzJ5g/jhNY+csxhlpVmmcgwLJaKq10N+1vjZip8yaVnb0OeCVx10XE4/YSNtbdK2dxXXs/nkG87RX+mvqcpdhfT3jH3edjhrm0phe1n2c7HW6XWtrJkj6+yMWnZYPpPwbo2A0q2/21b/gkvWvctAP5qwJLMkQlgW14GL+FqUox/6MeQTb22yT3ctIWU2vWd3uCXK28YqZnyzLIJd10dCGmWvQpfrrO4xvpoKEiD249E7QhOxxw+Zd8nUD/YwzJ4ZsViZCwzUA08FMHvnvFzcQjlMqstw8iDFTG28UiQY5zNXBdAwc3PrDbylZFKPtg0nsFCPgci+EEILIhSs7wuMy6s9GyUZZb9HbYZpImKRpb3C4hqyZ/9SWsanJ9ldrxpAN67kLDeuxQls6y9lkBYS7CsL86a+/lMcz2O2TSJ9/zu07Bz2xSO3TSJv/qtq8prHUZFwTWWQ/cItg8vof9xXo7j9/e9GDcvnoTPzl8EgDOWzYqKPqPcKpKSe3sWPO8e/MvVWufVNSYtH4ix/LWFswAAc9U+i33dddUZ+1m67+z2peMBAE+buJ09X2YSXlFpwvLTcaER+njhhfSDhsh8rPqaZg3Rje6UWfZlGGmBLaQsCRR3FXStMsuNYToX8n8oqTk7LebRFt0ERrnm9nTMIItgq80bRsTX2dqFYZY5bxgllK6ZyjDYCH4pukHByy90eRrLMOL3VPfiPGG84Mmn+Mwy+exG8KPG/YJmlqmxrMpIVVE8+1hIiU3ZLHRYZaVZlrlxHTfqHz0YP8v146SUvTMy5VIofXdZDbPMMEchFxX6fCh9c74slFfHkWFEQ8yTzydv99nicjXEykx/nJUTeO/MU/V3z1hWK1chZpn4z6alCTHLoVFwJMOooFbohMBn5i/GZ+cv0uzpHx/4OTx/8kb8RGUEK8wt2Q/1we5WPNTZhONbpa/9VF/ivbyCxP3atfePtvcq8XtmrsFF550MeR8jw6iM5bArUvcAZZbNZ+m0S5HbET/Lc0wfX2mWM+FImQp/fB7BB5WpAXSlmiSqPlMZzH/b/GF6iiU/msJsMlx9A/mIWWYQ1yyX7FpXdwIZcYmThQ1XS4bhn/OYZdonJFaspqwc1/edfeImJp1JGJRoiDIoCQBMMjIMWMayAW2AGzp78ITx+zAhlnxmWWbIRTGSYRAUUuKtH7wJt91bSiUG0QGJSGfmGwZlNC3lZ7mQwtq002SDH80z9jUF/koLL09IL1OZ5g9+6RL9/SudC3E4W1+tEIfbtn3fALNMrov7Webfb8gT1IhZdqB2SgqB8unaw5/tlqzE7gOLcEGDLrEGROR517Fp7oY+fvtoeh4uQl3E7Z0TcWDyhHLfg+qyXWY59X4WsxyeMIv2mH+OFYwZssgaO7ojYzkFoZVnHvVODToBjjWpn5HATT/cheu/8+CqG8tHzDID1RlyQUmkTlM+OotZHlvnsz7qg9MJuoixP70uodfJMFICktD0AHEdx2hJlypmeT0xlvXmx4C/Xvq5XZiNC0IIsnGMbPBjf9HaxMzcEm6/bx9uv680li0ZRsiwqskzR4GO9nztXmvLMAo1KFZhVsvNbnFmuQ5u9csCLHFaXv0ZF5VNBQBo5VkZ4rvCv3Uvx2M7nwu5dy7Zno/JMBQMSUzaSI2xX+cre8Qsl5DarQj/PAqYTZX0mAuqw+WY5Xiku/i7sF3H1Sbn82go9aCQkuyBgMMsl9RufZ50gx8TtEUTQq0xr+aWruOco0Ulw3B/V7G2vB71C3eVl+s3ROT9qrreFXw8idAeD7c+vv9zPwAAzC+srsnOiFlmIdCRGc8sVxsNlEEtRY7vLJ6Cz85fhLHLXxzsTOplGCmlSksg9Uy8JnmNYcylU/0gx46raE3jJDCJHkwK8yzpI7IMKhLcgn7XQUkw2uBHsdSx66ekmyYiMtfYZj/lI5vz7e36kdfMXLecHJUyjBrNctOl5T7svNRLg5PK2GpQufSBQkpLSxm7Z9BYhiRGmvDOm1dh+GeK0O52OWKWNe64bx/ueehg9Y1/IGqpn6LLMKN8hNI46D6RVHi88jK8Rysip1ReCipjuZoMyyrcdfj+7gyX1yy79xTtcTYnjlmWENXYQ8rbHRnLKdC9hiu/YMYE7h3TgDBAGYyql/urW65GCQYwMpaD6CJgLMuyynQIs7y3mMZn5h8HMbEhaIZ4jIF1zhzTQ+YAesYwsxxm67hr6ACSOdYyjTwoRYaOzGxjWbFbxFmstZRGn0uV5gOzV1YnbWY5F6OgJBSu9lZG3PHY3kjCeeqIfYwesKz5dFWgmjB2Fitzr16GUc+sOd97YtbszKR7PPUekUmsEAKFBOYOd7BuvGVdE4JrWCnNsuX5gklbyywHRMtm0+TIWv5/P3gTPvblHwEoNcscuMkdtzpiyTASpUa9vANunOjlutRrJEpPFKYJ20Zz2HWcA2Isz0rfIFbjScYYy6zrOO1n2fGGMdIsJ8Ed02PGKveG3SPdkCAh0o/SzFar//eRsRxAp9LIulCbz5RmWVpLcjK4zh2rGKWxrEb2AViDNZVRHeaWC9klRHJMhXLVRwRNJrAocyvktYnSV3jHAHuAEipiH7LyljQoicwCPjjXLpYcYzkt0iOz9EbejZYedZe8dJ4MQ2kaF+dRqIA8ZGbF+1kOlMonVqvswhO7EKjv76rg0XuHmWVyYy6JBGbnl7B+sk2uCRc0LMOQOLP9iJM18bPsMMTM/icW6vhq23W+XODYewquvna5YzXMMpu7Qy4kwZ6bJlvLvU2OhDZkNJmiIh6KeFASf8+ueT57i/VM+hizzIyhTgQ/c3jELLtYWIpMIKrnqoYJ+phNn8lNVuxzXRHQLAdua9vKxDXgKhvOR8ZyAF1krOu4AuXLV7odylJI6S9xJ9m+Qgx0lmWGhLi1XGMXa9DB1vUj74bxXkJLh4olt8KZe7/ilQ/gmeVCKtdxxnguUGqWe5VhdLoFfuWtX8TXv/dwT9evRLjMcjTUhvPYTsx3689UoayYZY618cYwZSzP7UenVQ6KmagxJGrYskGyoKmrM0FjktZ7jxUujdyZ+SWsn0zb+qH8sS9WS9PKWB5f2Idfnf58mUYvedLlUycjT7PMpxsFJbGhDYHA8+Dqax2zzNfxGmYkVka6iuds8EttG9ENfgELpWSWbRlGVvUFatk91dAXuWGW97HGcvk3a/kb/MoyugcklI93+rxvu3s3bvzBY0llWit4zZ9/Ef9x2yP4zDfv08fU8y7cjoKpChwhpY5oiV5Is5xQPag3plVmK4+M5RC6MtOVw4IEIIRhlp2KE7LlaEfjhZNmjg0CYSZAWH+5cxRUk2lcx9nsnaj+c538q7Cwpx68QR+zXceZKmiYZWEVvpRhZMjRu+u4mfkldLoFrvvCj3rLYAWi03EmZoRZDttXArLbwX/d+K/6yJZsRn9W0iNOD+j5WQYxltvloEh9p3J6z9p6HmKWmxjRzmSwrsoEN6ZE7ypweLGLbiExRZnlqKFSnlQ6TvWsW925QFqbWTbn3Am50j67edSXaS3BrIalM8ucNKPOWI7du69XkXpxJN0LrjzVTkoXTipDRgdprfpjJcNIZsXJmOiOB7R4osUzy1xQEikFSJMAAHzm63fj3R//XlqZ1ggySPztJ2/DhyPjHNcfas0yayyXb0yRhyFmOQy73qw2I1lhZCwHUDLLvrEs9HnjZ1mBN+S4ZW/nu+CPKUyM5dg0NYYXX3OGlebnn3Y6zj15c1gnHSeW2VDX3DUtokN1l8XN3/KD2zmG3O8pWMwy9ddL0isZRqlZNr/2u3fuxqe+do9fYAarVScVgyfDkClDt4RwJBZv2vQJ/VlPEFlj2TYsNbM8a5hlGrggeYkatLNOvCCC4CVBDX9CcpcRF8Ch+fI5rp/w/cVyUHV9seo7Xrj+BlzUvl/Xe8B+Zq63DGESWQhNIIsRs2zBsGYhYznOIutj1SQw1NrYxy1iJ3lkzopjqpwmNMV73YsuxBkkwqVbPglZuY6rmGVpM4nCMVb1pS75QwMTcSaGSs8wy5ngjDUzPaRncybtWkdcqmhPqllvGMGrjP78kbFTAvnXt4f7Hz2E+YXVKZ8ZGcsM3vyqKzAxMc66jlNdpJpd2b46w8yn1aEwdSoUbQwo2dy/+PWn4MLTtlrHn3P5yXjDyx4fzDbsysX+S8HqmEkv7RrYnAzDLkN8wwBlH5V21mUkO9R1HLn4XR+9BR//SqqxXF7YSDO4wqFkGOo3RSXL5JwsfD2yQgsFBCTEt/+JycKe1alVFbkwg6V25cGETB45vSdTSeOne6Dk3AlcffoIfxwxpGcqY9lmlsN5KeNqSZo2ctXEHZax7KYFfC26r1nm1zVHmmUbRobBD3uuH2yAN4i1AR3UunOTxMoA7eNdtFtpXghiG1ZDhwSElhFmjrFsNMuJhc+psSy07Mi7J2MsC3Cyo4LIk+hkMio8W5Pgnol2Bai6icBKFGBWgjnsKaax/qVvxa1TT2bP15FzAHDH/fuD+a90jIxlBpeeux3r1k2gzTDLQFkpwswyX9ks3W9Cp0M73Dqd7uRYWZYN6+3Op+42vJ9lP13OyjC49MJjlrmZLjWgu5YMwwQhoS2sS1zH9ep2ZhgDNCjXca1W1RkmbPCTEh6zTNESXezI90M8dKt/rWMGFKTuL+VVuOCsRs9ZV0BPotTLCxPWverqTDCKb2R+KyAwM1e6zKPGcgxqwPfcaUnCLEszsKmBq97PsvrLyzOGqtL3AJfJCjHCrplRSN77g57MB4zufh63RT44+Yy1wsP1JWdt6/WO1p+iMPd1meVgBD9v1cV2H/mH+38ev7/vxX56RoaRcXyn9oYBbN+6Th/mVi1DWFjqYjG2+W1IsCM/4B90X1ukO4zJMAAg27Ct+YxvSLqfkbEcQt4KaJbVjlDGWEa4HsbZK+Lfk1kpLGr6hPNP3YJX/tS5ePHTbJlGnes4rs5z11ADORQKWx1edJzQ88tqBuwGP9cog0BX2q7j3vHhm/3C02sCFsUwudFSzHI7L+tgEdkVJmWBZ0zcik1ihpVYKLRQWMbc3x16KmaLsSoPe1m4k5nBbknJMCizzGiWI77tytOB5D29tRrW2tyjnorzDQIqw0jd4Fcxy04bEWRXf5YLvdnK7RJCCE0GRrZyide+/csAzOQj9L5dI7qACHjIqGGW2X5V/Y2/DHpWODKMdsRYfs0LL9D9tNtHpxAMitGVxG+40iwXIDKMFOSmPRTIcFiOYVZO+PfkmGWO2STGMu1fOG9VIbzmz7+E33zXV5PTr1a8fuO/sgYvQCfV7gcq9Yoby2WatYmRsRyAyFqsZhkoNV0m3LWpOlL6MgxuwGIrW6QnqmOWhRB4ykXHYaztbq4LpCfXpRTDkl54522Dgi4xf+3wmfxSGfk91KBSTEZXZk7ZhGGWqyO3/GiPny+Bu3StY3cNUUtXzHKeKw2l4X69GrM4h+evuwkXtO6DiMkwRNdi+7vIdGfpqoo7mRkAtbFcwyy7EzR38sIZpeXf9BdnDOzEayLtJHhfIXQ1pu0ubYMflR5JgPggF0Jgw/qxqAzDfbsBN8tGerRGh7dOt7A8xpggMCFm2Q1/DXCVQwekCg6fEWIkeCaU1lwRM5Z7fcNUkichK28Y5TFfsxyYHLgH6CZfbnUpollmey8prcmjQhNmGahxqzZEcA1eLfF0gpJwVkXMGwa9A3vfYD86HP3PyFgOIcvRJszyI+0Tyw+yrCoLomTVssIPwMEhtrwmhDnGbXRK85/L3TN0Iny+jlk2Da/8rndOi7JJKBlGQaQTMVDDLCOu4gBg8tm/BXHGk/WxUrOc9iy6XX5Jepg0y0uaWS5/U6yeKNZeQNYyy7Sz7cicGMs207VIjeXcN5b5oCTN0E9H673qQFZpdSLMrtROhCuop+puGsskfR8Cm6bGAQgSwc+ecfuaZUSPD1GVb4RXv/WLeP27v6a/68cQeCBufZUQbJ+uJzsRZllJc06vNtTF9onYF9v5UHDGsroPZaFT3jdjwsJ4wyjPPrL1MgDA4U2nAKjcJfI7/OyvhFmObTnmmOUM3Dhq/CzT8akJs7yW4BnL1d9CSsxe93/hok54VZZ7Wx6z3NQoHpL+Z2Qsh5Dlmln++NyleGD89OpEaS3PidI4aHXn9SUls1yvWXYRd1HVj7EcZwL4oCR+estY1p+YdXNhlpilEJWcgl9WU6BsjvbrWR1rnfQ4ZFf+5/KYbBbBr+tuihpCw0FrlhWzHN3gR4zlGmaZTnA6znSHPr+lfFJ/Xmz5mmVuJ3x4CZw/38v7airdiG3iC843yQmrHUUKrAZ397m43jA2T41bTJrX/gMMsgujWQ4WaaghARyaM3Vd9UWhCH7uBr+CrKoAwLcXTtPHywzDmuWtGyfwlv/yRLzs6Wfqu9t/EyDscWGM2eD3By+/BK94zjlJeccdIZbPi/pZPjB9On5z78ux1N5QpgkMYt6cNDPGMivFUkj0hkFlGBR5DRGzVhF8yxIo9j+Ma7pVzAOm3whJOJLyH1D6lYqRsRxC3tLeMNw6JQDMZ6Vx0OoYH6mFTNMsx/wbc5HMeu0SgpVU+LP0WNkyi1nm06vDSoYhq4EmY5TcNIsuGaDyimHrStOtq/sVys8y8zS4yUTXEXoPY4CGjmcsm+fgyYEqg0xAQnQXg3m2qu2UCl1pDAbhbPFbYmQYNCgJ56PWO1LzOnp5X7qMarXGeRYv1QaMk57PjP5hy5Uc/KSqu7YHGGhtqMKm6XHYEfzsMoREGaGNf8O0mtIP1PMMkRMus9wlG/z2is34x9mnlMdrhk2V+85tU7pt6nN19Z18zoSdnmOWj928DldffLxzj/T3bbHRmlm206iVjeCvdscExxtG8J4Z54OZ8SiljGUB64E0lWGsFfgyjPJvqH+IXRtKF7jxUGNkLAcgspaWYai49Ki+AQLzgjGWI9ZytP8S9Z1oL6hjlmMbUSjyLEErJ8pBQskwJDIUUiATbKBS/Skow3Au0q7jCp+9V4YxPe4yy9rgGKIGbTTL5Y8qpAx2WEaGgbgMQxT2Jj7YxrI1iSO73hcrbxiok2E0fP79vC5ltDzjspMAAOedsgUA8MzLTrTTBZnl2CTRfM7YlRcfanC3dZzSMZYFNk2N2Ztgvc2aoe/Dv5rSD+pcx7n1lTLL9MlqGUbQT2j4UD+vIqZZBhzDl4AtJVOQrjKK1QY/ZWQVDYmGjG7wi0+YF170dvucYKQe1l4gc3U2kmGwCLHDKdFv2Q35LukR6i9D5RmS/mdkLAcgcrPBr9Rqqp6jfPnKWKYsnJShYKJOBD/3XvA7on60mi+86tToeZUzH5SEWe7KaQdlDx4WsyyAxcrPspJhlM8n3EjpknQOGpTEH7gySFx819/h0P/6Zetcp2tvXAAY37RDyCwrzbK3KsFBG8tFfINfZSIodJETfboz8SFfukJpJ+PGcl29jhmlyXAsk3NP3YL3vvEaHLtpkk0edImFyAAQKmOkvMZYjjDLotSh0gh+dS4BQ+99GOt8P6ATe+49udP6riXDENZxdUX0PvRYqrVM3lXmTNZct53BLJJSqbQmtdoM6bLhBTGiubrmjWd5YlASAKJtt0kBMEsnys+ysG42YpZ5eO8jKDviruWY5TTbJMWr0GrGyFgOIWthKlsAULVd/b7LqrMg/IG3kPBqIMvuMNay6gcH4Q/4+U8+Fe994zXB88bA9W/C9ce2JtPNy/5umGXjwSL2UyxvGOhWvk39zSrKddyG+QcsV1uAYZEpm9xZQ5pls8s5srJRGcsZABFhlnPRhXBkGB+fuwwzxTgOFpM220qu0wNqTo1lTrPsfHfP112QAD0ZTLw02scnDACxiTCF0iy7Os7M0SwrbaqRYdg6jKCfZef4MPoW7wfGEOCFGDEZhn1cMcu8sVbnJjQZwqRv566HIDa5ukn6PUi5upWxrIxylUvdqpwfwY8wy4wUy77W/h6O4KfemLmgNTKWWbju9/R79HzQ+rK9FM1y49XBIel/RsZyCGR27MkwBPRy89y4iapXFD6zrL1bRJllod1PKQNoOaGKUmsYV7A3+BmGvczLWLUCsGUYKHWXXgO0NviRzk92PFdD6n4xzxqqk6fLTN1uQLM8JLNcgBrL5fcYASkL6g0jnVnuIMPNSyfjTftfQtwlhkF1iIMIStJLxDPT1hKZuBq5EgdartQy3rm0A4UEvnT4XHIPCTsoCTDWzix1uDvG+ZJO/sWbFYHhqfO94Lh8H9aJBW1EuF5dFLgNfqoW0LqsmGXRQ4CkWmLZ+ay+10kwku7BUt7mo1qhy42LIwA9rFA4fpbrivH1w2difzFZnQsFJfEvHskweAQN3oT6+pTxH/iXeWNy0/IMB0bGcgDC0V3pCkPq2/snfgk3n2kkAZyfZQV7wHIqnzA7nRePgLGs79uDDMNLT/4KYcJdF0JpljnfjWHNsrd5Rph0ofCmilGm0gtfhlHdY1haLjhjmd8AWSYyxj/EcxkAACAASURBVHKdn2XLWCYBSrhJ3tsO/BQOXPU72lCvNcyCS4JqMjM4pI7tYfKYbjQNU+Kpm/0OynX47X0vx31dO9qa5TpOlBNnCcMQecZwTUQ/c3z4meW7HjxQG5ntjRs/hd/a8BnzLgOdgK9Z5tPVbfDj0NNGVXJNK8VYdlbjku6h72VkGLkrwyia1SN37AzetMKH5p6ED80+CUBlkHAb/CQdaUqMZBg8ghv8AnsaFCbFIq6cuMvLz30dw9yfxDAylgNwGTItXRAl5yOEwMFsA7qZkWPEBPTWhiCmso23y1dxJEJyxiP4+cc4bxiSTS8cGUZ1n0inRpekc3RRVN/dcizIVtDQVZILi1l2jWWG4V/tUIOb+m1SQr8Y38BS70B6MhaKFrrWMp5lGPjWMn7cPQZ/9Ind5n6RzaBsFkyeFP2woqlXunVCaTZj19MVin7LSGUYgMB4KwOIRxhvg5+Th5bheMf9sg4Tdh+Yx5/+w414/2d9NszF9vygLcNgHgnnZ5nTNak+q2DCNYeQXheda6rv7bwBs5xQH71gQDB9pivDUMeTw13ndRv8/Mml8aNsT/j/7ds/RtHtknzMubVuLN//6CHc/+gh73hoPU+6HqKcVM3XSRIxJN3PyFgOgbjXssYqCZRaMn9DXyHDS6J1HZiSYRxJbW2q67g8wpxpJVl1WBnL84vGkbzvPJ43xnIYZtlVqB0o1gV/h5ZhFGFjWfUTQ2QrayNKM8uMDEhB+fLN6mQYwpFhWG7OIstx2lau6VLqiGc3QY/vqzQ00i52k7Vbpk5HSGcN+pOb1q9MFBazLCtJFm0xbl12oYOSOH3PsGuW5xfKOn3/Y77BwIEayxzc5eaQcxkdwa/lh3CO3Lz804T1JSsbA5FhsPcwH7R3HS3DKP/o/QiJciW6wS+1NOrN0KAkB2YW8MHP34lDcwumRyJVfBiDkhycXcQrr70eX//ew7Vp//h/fxt//L+/7R2n/fddDxzAN77/SPklQuZJSE+GpOBPeJp1KMMyWR8ZyyEsHdYfpbKOzbfy9Xuro2nMsmcPCGC8Xa8HHRSMZpkzlv30nGssbolXCOMNoyDMsnIe/2Bnc3WxucbSLKNrNMvO4BI1lhkZhh+UZPiYZQVrg18oDWhQkhpmOTCZiT06bZg1ZJZN+fh79NzRRgxdP6md0mLxApnY9b73OtVGFxl9H0JNnMN+ls+YvwVv3vhRfUldVMthrPNA83mU7ruyDNzVvFFQtS3yDA2z3MBY9kqRkJIkTTGWXf/iqXmrS7qONwzT15tr+KrmZEaY5bp765VKaZhlBd2FUz/L9DbLx4UeNTyyt3RF+8XvPtRzHrT//tN/vNGcqNn84G4MDObfa8Nb5YjX6rWMzoL+SDf4CVSVRZRVkg5UD++ZYxyql3/sHfM+OzvWzrxjywVCJnhgN/jFjAdt1DLhrqtBxUQuU8/QPCTK5uTo6oHINc/jzLJtVJTH+CWnYdIsu4RjubLBpxVkgx8XlOSHSzuwLTuIJ0/ciRlZGgHfXjgtvqmPPEvNwgV82OpL6nQXXvro6fB1gaV2Dm6d4AwTz7ggB1K9YXBoiS46sCcv5QY/005c13FXzvwbkJfnme2zGsPoW9yC4S+SYBi3tA1+En4/BJgJZBNjOXni5q7iEW8YqTcJrobUXNRxZBgKRQ3R4Msw4sQPxxupcSCDv+9HQKKQ/og4jDIM0bBOs3kEjvtyLkfbHLiu3w1+w4IRsxyCwyzbInmhZRgUf/WxWzG3YA98LGPG1DYulOmyQeuv05hlPtx1Cde41hv8JGWWbWM5hBxdPxSwZpZ5H7kA0Cl8GcZa8LMMR4YhqWjZS2qCknCa5c/NX4ROZRg/a/JWAMDXF5xIdxHWV0Jag3sItfv/vPS9v6/UCaenWVau20Q4EL3VnEXoTD3a6NoyDFm6jrO8YQRmQGovgHn/9vnUOr/nwGEsdZZ/r8SgUfd8SrgauvJK7onwmmUfyuhuJsPorR6rq9KY5eb3UkkF6AY/e3wotGY5Lc9M1BjLDLUcIzPUpNC/zxAay1DPo3drOcwQ1+UZGDu4pfAm5WmUeuViZCwHIC1jmWxAkKi0jLyD9hCiQUkEPGZ5OaHuz3dMXKfksB2hPAVllhljWfq/kT7CFgqz7O/cZhFt9r6AYZa75IX4muXh02+6WlUZY5ZBvWH4xnIBYemTy2Pu+wo/PCnViktvMgxVEXxNfG8QZjEoLS1BWxkLsXIQIyMW6a8OLVFgz75Z/V0KoTf7un6W3bap/MyGBlYpgbNaD9kyDwdFIfGGv/k6/ucnb2tW8GXGddffhS/e9GA8UdJGNiZ5QIzuG8v2KpjCuCg1/0XenFluMlmk/XOSNwx1XXJKcl8hdD/qRmyVgbYZzqzBfdU9yKojx3hyNXwYmWWNvpjlQH8Qk2EE9Pn9lqUsz3BgZCwHkG83rJpQrBkALcoQlRGdWJE4nRaFq1leVqNODfTVTX71p8+P3pe6jlPnFdOREWqChrsukGljSwdj4NZNydJnjo52Ys8Z7QuSVw0pw5guV4eDkgxL02U2+JHK6NXLQgUl4TXLBTIvIIAbUMCXIpjPyliu0yy7mdQaD328rtRL3TqhWTxKlHvlDq/ONEELXWzI5qxj5QY/k6+7SqKg2pWeNDmj2ob5H+O1G/4dpz72+eD9VZ25+a7djcu+nPjst+7H338u7uVC9yaRPpgaDibcNb9i4G3wI6nouQllLPegWW5UW4RZ0WziDaPJTeizc5llhTqigdM/J6NKbIxl+FpayIA3jOHTLJvnkQ53hTvVz7KfKsQs22jc4w3JmDsylgMYf9LL8KPOdgBAWzhLlGqXcoMaXRfVKbbM9vQnnJB+owQoA1cxF088d7t3joKTYWjjnjBsEMASfGY50zKMOmaZeMPQBr05/+POFvb3dCtDsBuRYZgd3WwWqxrGdVxk8a4KfCGE1J4xKAopvIhYLtMWe3RSlhNK0SuzrM57BnlvL6yOWXZDCVO09QanSJtV+fTZg7ZFFzuyA1bOxnWXo8V3ipNrGQb/1sc6JWM9ubC3v0KuUIgEw4IaDlSzzIENzczg1qUTMVuM4dCJT05KDzSwFwKkSpIMQ/fFCYw7M/FVQUlaqv5VaWzXcf7T9vbg9CDFMm/G78NEwFND6oa01QSz4bHJVWna41DEybrrfBlGUqF6Tb5iMTKWAxB5Cw8XpfeGNrqkhStmWcSNEzc/qxPkGj5fpTZOjeEXn3lWesEbIFWzTL1hqATKWHbTL1bsr5QCh2UpnZismBgjZSEMKGlKOZVhqNuR819dOJv9HR29wS8sw+gh2NaKh6tVjUiWYQcl8ZnlLoTniskbtCKDYKoMI9RzhordOykR1hsDcXdv3JK3m5MhnJsx5S5aosBkZlz5SVH1LRB6YicNdUz/eMyy553HC2+7snHLj/bgod2z9QldRBo3daNFmWVWhuFt8BPg3M3tK6bw+/tfihseXt59JmqcAVKZZdvIVeAez5YNE1ZaAbP3I3e9YVTPIBTMpR+oHDWxwtjjlmaZ9C8x//2rFVqz3GTActKGIt26G4VTb9E3szwkGHnDiKBbPZ6W6OpKLPR/zZZKoprlxOsGBZVllhjBj2PhlF9oEuMMAkaz3IXAoaLskDdWy8zuYAT4zLKXhny9afFU/MTYo9h2+D4rifaGYbmOc1jSIdzgJ10ZRmH0fl4HR8NdS16G4WoAZSCaov4qaNpq0bpmQHXrcy3TXHM+em3kYkFYMk+GkZvVjbAHADW4u7+n3/pVDZb6u/Q3q1ZGnMssB+dJq6TOv+PDNwMA3vvGa5LSm4AWkTSWsaw+ZOxb4jTLjxYbAQA3jV/mpf/8jQ8klZOWtTZd4Jr2AFyL0iL83i88AXc+sF+7iQNANMt2WfUGv2DGTcshvM+KOX7u2DfxTXmxl72s/uaT0zhw9vMxece/Bo3C1YyemmqiDEN6k4tE+Ya3wlhfyKsuOk47LVgl3U8tRsxyBMo7QBtd0ApTzvgVk5fWYKMVhjlnNJFpZW0C4fy175t2rdqQSOUSAsYbhoTATGUsT2eH9TFUnzi0BJVh8AU5LCa9Rq0MY8osh7xhDJMMQzqfrF8ciOAnAIiii7uWtuMfZ8wycldmyGHLM+pkGLTTLAqeWW5af32mtrcXVhq64fPUyHU7QcUsW5cHJgq9ts93H3wGHsR277h+a1q7z8kwyg/GWA7cRC+7xlcEViv0r2qqWUbAdZz3XeCwHMOnT38T7hs7o4+SWgWqOW8TE+pbK0+vaCltZvP0uCW/A4TRLGd25TYuCAMTx+SShdOrsWF7th/Hzd7hpK80y1Wjnjvt6Tgs2xHjbvWjmQrDNoJDz0XUNPbQe/SuSnjhv/Scc5ZtRfxoYWQsR9CpDL+26OoKImDCXfv7dsPg3OXor7HrlmXRQxnicRaZgzJCXRmGMYNLrwoFBA5V/nqnxXx5bc1vaRHXcSGDnsvDBCUxx9x+wUTwGx5rWU0OrHlBggwDRTkpsTaRQaAlXDbeNVzDZel0C3Cu1pKZZO3xwUGPr2u8nUcD/cRkUWaDnz1Btq/nmeXU8v6wczzuESf75aoyoBuafP+olbGsZBjmhJNuyFE9olgvbCnI9AcB7kW5KymSJB/MekGz/rycKJWlaOI6rpcujmqWPRmGYpazgBnWR5/K6c79Sbnve7lAhnyINcsNrWU+DweFjMvswrk3f7+hFZLVjJGxHIFmloVhli0jrkGFjhqhnHY4fKpvxGUY8WsXlsoGZwwRfxKwKHMUMsO8HEdXCmzISmPZZULLT+b6tih0UBKTpV2gQvozZ06G4WI4/SxXfyT3ZN20RLMsu3pCo8DLMPxhK/R1qVsgExwzHM+ibit9rzKk//rSx+EZl54YPB/b4EcjmNVHx3O+NygjF11WPfOnPWGnKYMnwyjhyzBca1kdj5Vq9Roc2q6IMssF+WyY5bNP3OSl9SbiOqrcAK3lBsmEMCGom3jD6LWoOoJfMChJjxm7YCYwtI76QTBsP8uZEFWQktVbd0PoR7N8T+eYKo/Ate74KO2Pqc8zpRoM1ThbYWQsR3BnUXqhuHnxJIeKKv9JIHmsiRDLuvK9+RWX4S2vutw6uJx1jsu7rpIvVsELlGZZ96tkPFlCC0XFwc/ICUxrY7kafKxGat9PuZcLFUPCl1JwMgyPiRh0h78CwGlV65bk1Qa/LjJrh3lXCo+pqZdhGHSqQd2r2w01vYN6PSdtn8bUZNg3txXCPcQs03IFJgHuhLNZ/WK63yqDTdPVBizCLLs8t/FfHsg+wVheKTKMeGCRABIetm18aj0BXv3T5+PSs7c5ZbDzo8xyv3tHel0hXKoM2CbeMNznkrL+KQSZhGkZRvmnNoJfbe6x9JVxSI4UzhggXLWtKNMMo2ZZoe6XbRBzeMHkDeVkUK8w2v7Zm+fKw5tEDtEY2gQjYzmCPdiM35v5z7i7s91quALQ3jBSYW1q8M6Vf0/eMY2dx6wPXjcoGL1l87wXlkpjeZwJz62yW5LGT+yhYgKb1QY/wiOEoDYIhlpkOaDZ13cYZtkdINSrWo4Nk0cL6hdy1dA9JCwZRodlll14xnLk0S11iqo+xa+JTYI4LNfrik1eFYvnelSxrxfWX3Kmt0JUoApb9X8oloCRzVRGsVdcw6QeXuQDk1CD8GhCrQ41gt7gGpFhcJplITDeznHCtik7O+fd6RDMg3w4NVnR0xlllhtEeA0XN3xzasy7MgwjYWt6v9DN/FUd+9n75jSd2JeGvRhObxiJz/Jl67+Bp0/ehjNaj2oiRE8yQhv8avwsp77GphO/o923DAojYzkCkQkT+IFWRKEacPpczdbOpTMiy2Is60Gg+bWLi2XDVDtd1UBCjdM5OY6Fym3cvZ1t2JGXfmTrvGEAZoNgCHsOLnhPTxk1NIKfm/FwMsvuByBYIyvfyhlKP8sd5J5m2cu/wciuZBhekhpZRt3rWB7NfjwqpWLxljrdSERElU/vZYg+X8qq6Yg69nWpG/x2HTiMX/uLL+OBx2bCZTnKJJ3aXNYEKUXmvGGEvIOkhrvuB41yFGbFJoVZ7ukezEVeUBK9ObpZ1NqEW2lIpi8yBEe5wU+PiRDV9yFmlmt+Wi5Mf66ZZTAbkyOZ+pPMgJHdgDThMCxD7shYjiATgt0Ylgmhl61S2WV7g1+TMqSnTYZQeffBLI/ZQUloO/v7mavwyblLAADfXjxdH+cGH/eYYpbDDKTfSSoZhrSYZRtD7TrOOhZKbGuWuzKzNjR1keGrh+3dy/4GP5fxMd+XOqU7DPfxuvW3qfHbSLvXALYMwz6nmOUlwnaGCOS+/CyzPqkz5y+BLk5lLLt+lr305YnDi2WbveEHj+Hfb/hxIM+ji16MZa3ZjyThvGGIwLDHuY4DBtNnJGfhDBOKWW7iDaMX0NxNUJLyr3YdF2SW/RP/sXA6vrt4Uv19GWbZHhP8Pk6Ism9yI44OA0xbjv82+3kpsqgiwUJGb8zvuoyMuf0+Zifjn3/q6YGEKxsjP8sRCEEGa2H+5FnlDaOQ+OGP9yfnFT4XZlyXh1muL1MIRrNsu3iT5POuYoNOP1eM6c80pOnUZBsz8yYYg4LaVBkrmtsZdJmgJN6SU81S4mqEG5QkhPmFDoqKWaaa5S55yoUU+PDc5dieH8CZ7UfLfGsMW/osl7oFr4FP1LuFfkNMCtEPaFndSaNyHdfpFkG9p4mC2XuF4hhOVxbBDXxaW+pu8HOSav/b1UP/5NfuBQA89fE79SZGHXDiKLeLTg8yjJgMSYEaVHVMZKi+Z6J/dqyX61t51lCzbPrixiAVIHfCUvZCNHxwNhzdkMvGXhRUzLLU74yXYQyfsaxQ16ebfkJqnYxhlgMXE28YKs0/f+VuHJhdRCvLIu1jsJ1Dy9msesnZ23DjD3YN9B7LgRGzHIGAIDpYQ6HmeWkCPLZ/Hnfcn2osk8bu3ceHttGXYRALur1KwLqJUl4xva40gvVTCbVPdqlf4nFnHINLzznWS681y0zRLjvnWHZAU++om8Is88VclTBGUtigAoDXvv3L+MatDwGofn8lw7A2+CEDINAhXUJTzTJXn2plF86BxY7NfvTEOCYgFiRIdeadThFMo4+7v6/pOnvomNZEmzOuoMCVYfg6/fpnd7TlFwpLy/Se2aAkAYqUi+AHDIawmBwveam5BV47rkAnl1lGvWE0CEqStrru3NdAyTB0b12nWU4vWZUPbXvKwOeZZfWpUNpHDLcMIxRUyk9I35GSYfh9hg3TxjIUkLKcQH/puw/VlMlGYxmGk96V+bz2hRc2y/AoYcQsR0B3CNvMcta4h7AjRtezbdrV2XLo5gJLyCl48dNOx6k7pnHeyZutvMJ6J/qZNPCq77uvcnejoMJlc7/70nOOxX33+Z2k9jdMx9ugZnnlmstfvvkhbFw/hovPOKY+MXhmLbSKp1iYUobRQdfb4KfYnIixHClLpxNglhuKlPceXAAAbJoaw/6ZxZ4YxxSsn2xj94EyWI5bRrXk3ekWwVFLM8t96KTizH2Vf+Q642c50PYC3jCKQgLLG6m5MbpuQIwEqN8X86QhrM8u8eHkF5JhJJcojM0bxgEA+w8tRNO5zWWpB81yLzg4u6g/exH8iGaZRVPjifnCkyqm37IMaKFcXQ6hsZz4k6w9VNVF3Vpm2Rz33YSGeyMJgcefeQyec8XJVf7NXrhbb5q08ZWEEbMcgaVrJNZynvnBF+pgh/h0zjHpzeaGRrdpWKbm10yMtXDVxcez3gDY5TWOMRDKowhw29IJ+MCCCW/biVRJAV6zXDCDpkeuqOe5ghvq+z5zB975kVuS03OMYkjjqwadTKgNfraxrN6NK82wENHnLnUL/U6t+3rf489/z8HSgN2xZV1ZnpjOrg/8xs9ehLMqX7tukVpas1xwvKSFpq7x7MR+XTftRfhJHI2udh1nO8UIpldYLmlLPzDa3B6GpJgMg75BETd//U2uhqnrd5K9eao0lmcPx5llF2plpb3MmmXKeOvfWv0ZtOs4eoHFHOvPlURIGsPP7QUKCAixPH3D0YSR1tVJhkoIQFP/hWabE4xlUXipwmGygec+6RScsXMjuWk63D5/tXqkGhnLEXBR94SSYfRZYZwbeYeMlnD5mOUmhuPjzzwGV198XDAvCb4NWZ2gLf/WOAjjwmmpYpa5zFR53WIrY8EKSuJ0NsPpDYPXqnLIqoElrzxgd2TucAlqQY+Z3FgpeCjXca6xWFd/3bPz1aB97ObSWF4uZnnz9DiecUnpR93zhqFkGJENfroN8fZVGniRt3WODmB6UiQcZpnZ6Fke4MNdW0FsVojdrJ51k41sZrIYhivDKCQgQjIMl4FX1w2g09g8Pd7TdU1cx9G+OHY+FTqaZLF8fSdXZq1Zhq1ZNk2jDEoyjJplLcOo1SwL/SnVGwZt99SLRj1se6dpNfDsjFU6Bo+M5QjoO5ai7KwKKSoxfDM07WjqfFv2A9XtNBkEXvezF+EVzzk3mFdwMhvSolG2hmwo0d4wmLxK10Wkk1CfUphl1eGv1pbKgJNhmHP2QTWwtFBu9CvDXfvNv0uOeQtz3qMzB5aCMgy26LXYUi1bL5dmGaCbZOzjeoNfx2dfFEK6/4brTeFjOv+wHl29y5AMwbQL+7j9fZBig96h3nPegFlOGepdbxgx6Yu3kqIj+CUXKQilWW6KJjKMS84qg6y4PvBT8EvPPjt4rlaG0Vet9yfpdEnEMMv22FFAYL1YwKSIy1pWHRImgPS8sIzlBswy46M6xiz3wwZ7xvIqneP0bSzPzMzgec97Hh544AHv3O23344XvehFeNaznoU3velN6HSaLUEdbVBjcs/UmfjS4XPw0bknlgL1prP0xjKMZdTY2uNxf1lRW5ljyMkAZGmWQZkCYiwj7DpOdZLl1abFaV/Y0Qh+dnmHAVyY4xBZoIzlduWfsysz3u81OeYybTHDsNOtPKF6DGzaA1e/5ZmXnYhtmyaCgUG4MMW9ItTGFLsZ23RGWa4UsG2cdR0nrL90cqcnR9Wx7fkB7Mz31LoLZDXLKwzKWO7JRVosKAmZbGSVsWw2lTnZuAx8D6RCCKmbqt17rZsojWztqjOCX3zmWXj7rz8ZE2O2YZ7ytn/icTuZspR/v3brI9b3ULp0hMdCAPp9lkZaeYhWWYHy3ZzQ2odrN3+o6c1XNJq2TFqTu7UyDNOfuTKM0Mpwea4/ZjjFVn7zKy7DK55zTrOMjzD6MpZvvvlmvOxlL8O9997Lnn/DG96AP/qjP8LnPvc5SClx3XXX9XO7Iw6rIWc5Pjb3RMzISe06rte8vKVqJv1yapZVloPQDonAZwVuE5mALH+XNtoJQxmJ4GdryMk9qj4gtqqUKsMoZLo7wKMNE5SEHAt0lCralWIjXc2yQl2gkhBCzLK3AuckOvOE0vg98dhSivPSp5+J//6rV2qGkTLLf/VbV+H1L31ccpnqYBgz+3ib3rsmKknd74sfZyYrtq1sM8v6Y3ny6okf4Hc3fpqdLJbf+fvEVmCOFrSxnDUYkgLMOQXnZzlUrYMb/AbUB//Zr1yBt/7alY2uefVPX4CXP+tsreGPIc8ybJzqTe5RB4GyDnNa2qaPh3ue3MS9zFsZztTAFo36ptUE/XxrNcuEeNIR/LgNfhLPnbwJO/M9PrOc2Pgl4vZLHVxmmatDJ++YxtUXH98o3yONvozl6667Dm9+85tx7LG+C7AHH3wQhw8fxuMeVw5uL3rRi/DZz362n9sdceTCbqD6eA8yjMyubTbYzmM5NcuDW17Uvj0lb6ZxWjTAeYZUhhFx0JIJQToJn1m27hswHOqe5+dveADXfuA7uPmu3dF0KwHaj65LETBQRldblKs7HeR4rLsB31/ciRsWTtXpYjKMkG4XKBngUrMMfPnw2fj/Zq+o0sSf9+Xnbcefv/bJOPukzdZxxTDSMMjrJtq9bQALIFQn2kSGsXl6Als2jOMXftIO2KLbUOJslt38msQsM9c534NMcUDLbIWFXyHWstIsu26lYmguw4hPAEPnBiXd2r5lXWPt8sb1Y3jq433WtwlSS/8rzz8Pz7mCDyQSbcd9PB6zMkmJEFNvjWbZ3IiuMA4bUn3nc94wCqbPyCDxzMlb8dsbPuNrlh3QtvJH+34Wj3Y36HvZEU+Tf055L+eCldLnNEVfruP+5E/+JHjusccew7Zt2/T3bdu24dFHH+3ndkccISazboPfpecci2dccgKu/cB3zPU0vVNZYp3xcsoGBrIrlWTB+/vlmcpyUFRLk4xmmSmaELzCkjWWne91UagUHt47B8B4ZVjJiPlZdh+AlmHAyDAW0cbfzjzduUyQv/UrINb5KsFH5y73jsXy4AyIbZsmrb/LgoA05/SdG3HVRcfhuU86Ge1Whrf9mh9goenqTGlsuA0/ZoAow8BngT0GNKBzlAjIMFbgaGVkGE2Y5epPTIbhTNdlpLcNhbvOxOqWb6W+7SvO34EryHf6m9UkZhA1x16NpP1NCbNiJjElyn6Y+lkGgEIe2e1Wu/bPY2qy3bP2/Nt3PIbzT9ms4xTUIbRCyKZ1N/gJ3yimDHT5PXyHO4sTcUCup4Xpq/57zHLvWR1VLJuf5aIorNmolLIxS7p161R9omXCtm3TGCcNYz1Z3tq8aR0md80Gr73k3O24+NwdVl4Uk+vGrO9bt05h22bbKHik8jc7Ntbyrh8EhADWrx/38m56rw3TEwDKcraWfI2n5Z6MaKqm1o+jU7WavN0CqmB+yljetHGdV5bNm9exmuWJ8Ta2bZvG1NQ+fWzK+W3r15fPfHJyzDquPj+0awbdQmJyss1efySRet+c2fQzXb2PVju38lEbOlrCyDA4KN0b59YszzPnmdpGbquV49hjN9jHnGAKGzZOJv2+a7ZNY9vWKZx/2taBuPvj7jk1XdaXyYm2df64HRvxu7/0xGh+k9WgfmmV1wAAIABJREFUNzaWJ/2eLBOo5ikarbbf/WbVMz44PYkFAFeO/RCfWrzIKucjznAzVvVTU1MT9jvPeANn8+b12La1HAzHK/+6QvDP6H9+7Bbs2j+PP3jl5d65QWLyPvUuWmz75DBT9TdqXOHS2ixb+SymN5R1cL3TD7uTinsrH/BT0xMYG0sfKvvpN/JxY0zF8mlyjzNP2ozv37MXJ+/c1Og62p+2coFt26ZZH7ntdlobUJiYNO1N7UmgdXSsXbaBxaXD+P1Nn6zOC33vY7ZO4R7yruruTSdTvb6bV157PU7cPoW//t2n1yd28PDuWfzNP38Pl567HW9+1RXRtI9W436WZcGyvmLqS7h47H4A5Ti4ZdMk5uCHu962bVrL7yRs3XsmJMbI94mJth5Tv5+dXV1jJjJbt07p8rj9vkKo3brtjF4/qDp+JLBsxvKOHTuwa5cJYbh7925WrhHDnj0zR2UzyrZt09i16xAKopecmzNO22dnFrBw2A/VrLBweAl7ds/o77t2HbLOz83ZO3j37p0BnM2P+/aVDGe30/WuHwQEBA7PL3p5N73XzEz5WxYWOlhc9DdwhrxhLCws6WdIA42pDX4HDs55ZTl4YJ6U39SL2bnydxw8ZM4fmlmwrj946LAupzqu3jMAvPra6wEAT3vCTvb6I4nU+y4t+d4QDlaM+NKSXW/U86Ib/DgYX9j+oFgU0sqTtonyfOGV3fWTfPDAfPLv27FxHHv2zNQnrAF9zxQHqqAki6ROAGnPf6Gq692u/5s5cOZ+p+NPLrtFef/Fql09Y+y7+BRKY3m+aq+ZtK3uufnyPcwcOmyVpVuFpneNwF27Z5BX7+VQ9Q6l5H/3v3ztnvKaZW4L+/aXbVc6dSx2X9VHqjGCS2vJMISElAKHDpV1cNapv/QtXXvg+XikW+rpZ2cX2L4thH6e1YEZMzbE8mlyj5964ok454SN2DCeN7ru0V2m7WVCYNeuQ9aG28efeQxuunM3Op20NqCwcNi0N623J89+abE8v/+xvVAUUiHNe967b9ZKX3dv2j/2825+/OhMT9c/8lj5HB/eXX/9/v3VuB/pVx4/dp/+LIQs7Qf4ruN27Tqk5XcSAgsLxmYRKMdChcPz5pxrc0kA+/bNYqIaMlz7RWHXrkNo5QKdrt2GXVvp0KHD1jUhHOnxN8tElKBdNmN5586dGB8fx4033ohLLrkEn/jEJ3D11Vcv1+2WBXlAhtHK4+tyrR78MLtYVm8YwEAc7QNG1iDBBzvwQypX0ZcysqyWZZp162jXcX7ZhKVZNii4deigZjn+e1bTaqv0PoSX73KlWdau4/jd9eodyYTtDO6zCr0z+3tttkcMmnHqoUy66qam5+4R0yxznmV0Cr5ue28+IE8omLDwR/u99BKUJOhfmoBukKxzHQcAH529DHd2duDhrtHQr6QgCr/2Mxc00nUD5TM9qwcvMrPEyHEZ5bf8lyfiK7c8DKCH5iP8j5zrOPpebddxzTb41QX4WG40uXtP3GDFNnER/CwZkqRtgXEdJ9wPJrXdj4ef/bWvfhL2OVEq3THgaL+PXjFw4c8v//Iv49ZbbwUAvO1tb8Of/dmf4dnPfjbm5ubw8pe/fNC3W1ZYxrKj34r1n+1WHj3v1hXOaFU6zkG6yqL4hWeciSedv73/jPQODcn6xKWd2t2dY/Hv8+fjAzNPRp5n2riiy+yKWebaY5YZP8uWlpNZyvM0y8rzQWInuxoadCwog1t87Q2jCmTR6YFZrp1ocDrz+CVHFcZQbF5K4yK8iWbZuX+PRljmDHTa+PUmiD5rBzia5RVSzY2f5V6eSfhH+H6WzaSOu9OXF861DGXgCE8kajZfX3rOsXj8mdv4kwMGjeqXUVYEGNhD0RvE7c0vXjp6SCDsPYPDSunKk0oc24cSzLPSLDOu4yxvIpaxzNghgU0c0jkU+x1bNkzgdBXpr8Jogx/B9ddfrz+/5z3v0Z/POeccfOQjHxnELY4KsoAbozpvGK08Hg77OZefhId2z+K2e/cFN9sct3U9/uzVVyzbBqenPeGEgeRD/SwvdZhOjm7wkwKfmr8EANDKyBYDYVjORTkobxiB77XMMq/zXIlgN1QGCu7ufu7WaJY5Tw1enXa/csbyCraWQ67j0qCMmrSLuXsI5h0Y377MueoVusZyaGBV7JF0DIsm0rYL2/djnVgEcE1t2n7Qi+u4FM8BVrhrlM+3aZ1crtW9GFKCkCw35kho7tx5LwKmbTd+nswxLlCO5TefMsvO9zqsFOMspRjS+VsH2xuGzyxbwUeI3tEdD+g3zfZrMsZmlpu3H/v7CnkdjbFsMoxhAGWW6ewoz+LGcLuVRY2yjVPj+J2XPA6/+a6v4NDcUrDybd9c71vzaIMWnWOWQ2xvngkz+JPnPC/HvHz1vQS/FB31rzx/EMWue1AU08F87ZswhV2haDIIuJ1jaBkzxizX2MqsUeEfW0HWsyZS+mCWEy9NZpb5KA2AZSw47zKwwiC0/1UntwbE8qumv1h9+pWalP2h24PrOIXYb2gSwS+cx5FHe4AuEnvFmSdsxNe/VwYk0e/FYhj1un2jfFk3ihyzHDKWhWCjj4ZwtFcJmzwdbSw3KXKVuMusmFA3fNRYfsrED3BncWqgnD6z3E9tVOP7059wAvYcPIynXLgDF5y6BRMJgXZWEo5+i1zBsFzHUWO5ToaRN/PDvILMh8YQhFpeYjYshTb45XlmfEkT1iIW395mlg3YCH5VJzH/r2/F/GffDlEsqWLGf0/N+ZWEOLNsn8uE/W5CG/ximuW6Z8Oypwns89FCP/sCDKuWKsPgDsY0y+acYYck3vK+b3mhahVT7FcHfjnFlmGsjFlhL37l9cpU5Ce4fpZ7+bWD2t+Rgm43Pbz1cuPqi4/H5eeVUr3ckWFYy/KNH038As1XkM3B1OVfUz/LR7uGN7p/w8KWzLITlIRIFHNh+gA6Xlw+/iM8afbfST7k5ka8rP/azHKzF66Ixg3r2/iNn7sI6ybaOP6Y9diyYaJRPkcbR79FrmBwbnKAaqkwUl9araxZB7KSLIiGoERsnWaZGssZYZYFt/TKPJMsE2T4JzIMRrOsvhQHSt/esvDLFsPR7mBT0KSMqTIM/b5SWM8E1ngq0a/o0cBJ28vVhvNO3lyT0gent4+m70Ojkms5BXDvIwe980EZhg53bYPd4JdUEhv7Di2wE+ReQH3rNr82fE3TDX4cUoyDM0/YWJsmBUsryFgWQmBj5XKTHQt9sjkxX/+YTaqoyR81lsn9hGioWe6vNx8UM51S4qjv/FCeOpKlIpIYzbKE17YmpPEeRdeuONlEPyZKeOPg6sLRb5ErGMENfnUyjDxL6mB1ihXC7vQE8jM5YxlWJ2hQyjAUm+Qvx4RlGByz7N9Af6wYOm0sp1LL5J18+hv34sHdYb/aRwt8EBj+B6bKMGLO/utMY248/bUXXhC95mji9J0b8Ze/dRUuPaeZS0uAMMuRNFs2GH+irE3N6ZKZgaVFVgVevO4/vGtCEmQR8oYxoP7m9e/+Gv7647cOJK9eSpTyM9wlaVd/mYKU5MduHszeki3T45he18ZLn37mQPLrF0p+oTTLenIleo9ryF1n9UdqXCi6/Hnne51h2W91P5JBfJpqljNI3eerZ0L7evW5tJVdnbL7Jvips6dZTiybTr/KjWSFkbEcQa8R/JJZgSGoRGqJRUpZyzLZ4a6FHuSbsHPsBj/OG4bnGUCxbPFuyN3gt9Qp8NEv3Y0//LtvHnXtmwu2OIEiupvCQjIMPQgxmdd7w/ATTDsO6Vca1vfIfKd4w7j21U8i6VOZZZ/Zz0lggSsn7vKu4GRI5YGC5mjSDzDc9c0/2tNfBroczOpQ6rWRc76f5R4G+yg1klCIBmi3crzzN646Yh4v6qAII1dLLvR/6MV68g5x4a4hC/68sL/Xhobu11gODGuP7J3DR7/0o4GOC2aFJS29EJJolm0Jo5SS9PvCep7lLZh3Sj7RonCe484/ZTN+8SfPqi2jWjheaeNnU4yM5QjCmuW4zKJdc35YscQyyzzynDDLGcMsM88vE/zcVzdCyRgByphPlGF4S1Akz9nD6YEJgDLAwOe+df+ydRKxbD3XccI+ENog048WMKnOD027qCZtkR9NT/E2dUSzTB6UiroYQtgbhrT+KvQS6GklDnS9eMOwZWFpEAJDVG+bQZEhMV/TTTlmLrXLeQKODEPaYzEn2wihSeho9vpABXv7dd/Fp79xn+dXuD80mzRmVLPsyDAkQIKScL+Df2+cVIljllt5hm2b6nXHhlCrTbqiMTKWI2jREU7Yx2MdRKuVNe5AVitoJ1rXGOhA1coyo1lO3AGfCd7PMucNwJVhQHa9NDFwv6WpkXHTnbvxoevvwsHZRdzyoz3Ye/Bw/UUNwA0CIWLC1ywHZBiRLsEbMJ2HtDZqfAnVNfTjDYP1kBFhlkOVl9XsA1Cu44Q7UaJypcQRzA04NGjjuSmjViblL7rn4YNmIu7oN3vRLK+koCRHGrnyysFosPQY15yq92B7w6j+Mtp6dXmqN6SU83UIyTBUuxtklOGm2v0MhdEsu67jpLOi6Mkw7BvrMcLr5p2VdO0LPG0WqX1pr3JreWQsRxCUYdDocwzqXMe5WNVVKLxqH04MW7OcVczynUsmSAprXIQ2+HE314NllU/DDX46m8DnFKhyFRJ4x4dvxv/9vm/3VIYQmrmOczwoBJq+65PXgtuJuqeTdPor1/B41fPOxQWnbUlLbA0YgSTO0rGLeFASTobBv/CQoSlCMoweBi13P8Kg+6x+2D/6c26+azfe8v4b8KWbHwJg9xPuhJFivJ0HgzSJeHc/1PA29ul+tXcVIX8ZI8NAWIZhryzG79evkRYaOlTbrxtZmtzf+DZOg+0Nw5coGs0yJ8MI5+qm4yaMpZeY+jKqKnQktd/LgZGf5Qj6kmEk5L+SOuBXPe9czC/El3s5NOkwaVspZRjqSxt/ceA5eKQbj1aYwXSa9Lac6yzDLCtrPm2Dn/d7LGu5WWN3kx+aW+ITorcOnXcdx+fjbfALGMWGcfbz8a5wjbPVVukdXHnBcbjyguOS0uZqeTpGLdOFKVazHPECQ5LnIj4chwahQcowuFD2g0RTI4Empj//sX3lDv+HdpUbcv3gC+H9JsGJzwqus8uNkEco+hAH/3iq/tzZ4KcjLwoBp2OO57ZMzLKWFyS3jfonZTyBpOVYyjDKxGofivHmKq36X7fBz0Twc8/bbcYimVPKWNWhFL5KiJUr1xgZyxH06g2jdB2X3oWshMqRaiS40BviEn6EvcHP+FnOM4H7uvUbWkrXcf7smb23pqBV+Xg3WuGyhiUOy4Fe6kDsZ7uFdTXLIddx0vSUDHzGwTq7hparxyuH+rGfbK9cMgl5Fxne1S0iw1iUOcYcDbPe4OfmJAt2NKODv9H2M0UhUEFDzIXx9I3RS/3XfyMcGan3l47fg0e7GyJpA8cjD+eEbVN4YNdMtJyrGcrQYVQY7OcU1K0usXtQYNPJjWQYDcsXLI8DoYzAQQ7gDbPKyAY/V4YhJdUs+8xyqmaZTlQAMp9PXHJpIsP469/5ifoMjxJGMowIYjKM2CCZrHEbAtuCxCSpBU1D/SyHlnj4PHxjWWuWrc5V51T+X6Sx5sIxFmWDTtkrawOfmb10uOwVgWy8QBahcNf6OMMseyuyMnp+mKGM5RhLSw3k9A1++mL9UTHLEsChYgI3LJyK2xaP1+dDOscws2w+p8offBnGYK1lw6g1yDchKccsB4UAgQosIpqD046fTi3KqkQrsnLSs//cmuR13jBcFWTds6d16hvff6SxG1DaxD/x1Xv03hMjL0jNKYVQqv4m+1mWUEIQtSrIuY7j8nS5ec6/sr4PtzCWVEJzbcoYN97OMd5emZH9RsZyBDkNlkH9nq5RbxccmkXcoswy9YbBGMtMUyx3QavzBhyzpjsGd6msrsE6xn8/pEGTS3tjltNlGK7B1A3IMGLO/j2FiifDqK8Lw9JsJqoOfXEp1csKX59dcH6W6UQnFwUWZW5NdoIGu9oT4BqMPVQ2f4Nf4yyi6Kn+k41MIXB1NuSxL3WzJsWFp21FK8/wjEtPaH7xKoArM7L7395ac+1V6iZWBD87B7pi0MTP8ns+dRv+8O++mVBKA9q+PvHVe/C/Pn07gF5kGPVo2japDINllonbSb+Rea2jPCr8d27JMPR+jfpVAsA8px63Da0YjIzlCEIyjLID6X/YHwbDoclvoE01z435lidOW0vXceWJrSTgg+TcYeh8lPWbyiyX2HPgML5w04NJ14SQ4trKpO2BWWYucfttlW/uGss1ruO67fX+yQjzAKxNZnmpk1ivuGfDRK4U+r2QyXklu5CylGQUyCzPMnSy+MjeObzy2utx+717IQJbj+xw10nFP2Ka5Z6uDXwG/ElizBtGaEUwVrZN0+P42zc8FafsCMs7VjNyLroqAKqKaNzsUy8Iuo5zmOU6GUafM7sgAaGMwOT86394kzEDqIKSFK7rOJ1bow1+27ODJq2Vjg9KkirDoLEYVjNGxnIEdFbtdqTj7f4f3bknbxlYXkcL2hZNMQipAZBlxBsGxyzzN1O3ySzXcRyz7OTUULP8hZsexD987geYXzC+lRs3dl2uhOW3ATPLelm7Op6JRG8Y1fNanPC9Qvgsgsf31BV5aAzqicpYXkgM98wbYgyzrM/wzHKGAh3kVlAZOsD+4P59AIBv3v5oUIbRDbjkiqHbwId6L2i6sak2bfX42A1+gUtaebgfDl0z7G7l8qBmmSeSBgK9GduWYdBFF7dOR7Pr00ZzjeGxKuiYCbbRX/4cUrPMIHWf73rDKFdRzDgQ2+B3/Owd+IWpr4fvw/FZabZyIxnGSsZog18EwZ3AAJ50/g589Et3e8evvGCH/nzJ2dtw5fk7vDQKr3jOOXjBk0/Buh6jiK0EaPF+UvN2ZRjmcyQpuZdp4NQ1M7e8Y2xlaiyL+o7NuW8/DVx6H8LoSbPMXOIdqg5Y2jXYTv0pprNSj7cwzrhQc5llT4YRKWwok1UKZSwvJcswuINcuGvhXaA3+EGiJQp0pUBBzlsb9mj2KRH8VNqa99JxNvjRd18UMjkKZxDLNI76zHIYE+PNtZJDbit7kfsUUt2GsdfW1DV1lgaSoispAsLR4sbv16++3l1UUatKWWNmuR5Np7FlVErlOs7xswy6oiggIuXctPgIzbUqgflrSTOYjxvXhyO1qr5hldvKI2Y5hoxZelDYsmECv/OSi71rXvW88/Tn177wQjz+rLCXh3Yrw/Yt6/ou59FEXzKMCLPMwQ5KQvJl166qzzooSaJRE9Ea9Egsp21+HNAGP7PZS/2pnjHthjmXZRWmRGUsTxzjnat7S8POslGoTSiLyTKMwOzPPeR9sDf45SjQRW5NdrhqD2JQeBv8BqBZplhYau5y0kUv42hKm3EDsrheFXQ6ILixKO7xZLjr/HK06bosjXHLa5b9jWjxetCvkeZqksfayhOO0uIO0FjWm8LT0lMZhg53rfghwJJiSbgyDGrfhG/oulukLvzUVVs3hiP5NZerrEyMmOUIrFk108DP3Bn3C7wWIGjLrAHdPJZnQs/YOWY5NAgZWQHNNyLDsJjlvLagsR3BvTIUad4wBpOvt9SmmWXSaUaM5esPn48WChyz/TIAd1nnfG8YzcrL5bFaMTFWdp2pG/x4L3GxcNfmnIngJ5ELia6zMmAi+JkXUi6R8hH8JNtQ4uh6yzfmuoWlLibH+xtKBqZndPLhZRi+tEAI8065LMO+mc3n//TMsxoXd6XDZZbp410uV5FaPhTwhuHKMJbbdZxr5KlJ1XLIMJoQLEDVr3uaZZOJ1ixLv6ASwGun/39szmaxD+eYE+4GP8mPxwImdsCW6XHvvC6jkmEs876H5caIWY4gj2iWAXZ/ztoDsZXf+por8f+88olJl2VZnFkOuaVVnaZtLFdlYNti1YEMYituY2Y5nSWQ3SVszpr5a2VlGExnm6OLFtUsR4zlOTmOf56/FIXgpEFuJ2oXYFgM4RSopdj+mGVGhqGeMUmuNvhl1SbVrrS3a3KMzdTSXlyQ3+tmVabvQbMck2G4buV6gcpuYamLV157fd/5GYM4TYbxkmvO1NKaJqDjwtOecAKe9oTh8ooRkiIKMXhO/f7TXlh+UH2YVU+psSwaapYHK8MYq/YYuTIMKSVu/MGuvtoD9fBSFBJ//c/fw72PHAympxH8uq43DEjHz7I/cTyr/Qi25YdqBynbG4a+ORarVaXjj2E2hFcwG/yit1jxGJl7EdTJA+gA+NJrzsCvv+jC5S7SioN+RFJi68YJnHDsVDBtLChJCuiyzxTm8PoNn8ZGMcvOWHlmuXmDfd9n7iDlbwa9mJhwU/ntD+GPN30M68RCg/yZ3+0aBxL4iy0f0FpkAJCi3ijg8o6x7kDaku2w2NPKsEp3HccdY+nm8g95uIpZzvSgGJi0SHPZhfuNwRmVYSRWapdZto31tDyiqPI4OLdoH460nZS27D5hTobx/CtPwdUXH9+TsTzsE8QUiVxThjmU/NAmxW6qlRQzEfWDkhg0cR3XC1wZhmaWHRnGrXfvxbs/fis+8dV72Hwe2DWD//GJ79XcTP2R2HVgHjfc8Rj+xz9/P5g8g2nPxliu8qDMMmBpwMmtmG9O/xLyhgGBJ12wAy+55gw878pTgmVsEpRkJWNkLEdAXZrVSQ6f+cST8ISIPnl4kd5RWsYyCXedyizTPC4sbsdJrT24euIOzwME/ayzSfSG4d739vv21VwRRqPO4eHbAKCZsRxhlskRP02EWY5c5r9pJ03SmDkkxoXWLCfqddPDXVd/yRK02uAnYJhlCjUG0texkJm9EDFmORVeBD+CQfiZDeUQyznlrr6PaaL1dtKGZBgxDHvUSj0GRtx7NjWCosFfAGjVEN24Ku10tp/l+P36Z5ZDMgybWZ6ZLyd6KmgJh2/d/lj0XvSnq6cUI1uEkGEZBqj8TjDPgdg3dP7svp+IBKmVZ3jWE0+Ke5JRMoyRsTy8sCL4JQYVWGtQj6hpM2gRGQbrZ5m9l9Fqmk1PwjRCWgjNLDcVloXL0mtTT7IlqnK6kfZi4I3l8HK5PpbELDNwHo3X+a2h9qAGzNQ6wXa0kXDXkhjLqq6rKJSeZtliisvPCzk1ll1mmSRPKDvgyzDohSmD4IHZxejydMigiRo6KRv8GP7Mfeqq2o6PmGUPMcO2158evq6q+0aHoc/YruNsCUhdLeibWfa6OVsKaGQY/d2nzMS6UW3yDAWk7he4oCSEWfb8LFO2uCCf7fPeiqEKSlJbuqqMelKReMEKxchYjoBubogsmK5taHahPimdsZYyjPIz72eZZ5vdcNcSIsl1nJ5h99NgG/aGXBjuIDK1tJd+Dy5fV7/N5ZbCLHN5100O+/UetpqQZQKXnXMsfvPnLkpKzz+7yAY/aiwrGUbFLHdgG3U0rLp6a4u50RD64a4pKyet24bw7o/f6rioM5/rBsGlThe//Zdfxfs/e0cwjevFxTvOXZNwjPOGEarG/WqW1xIE0PtMIchU2jICBF3HOXV6YQaHv/FByK7xiU/Rr40WmgyGvWH0Xieo4a16h1gboH6WXRmGOq8QlWEE3E8C/msW3oc4RkFJ1gDscNf++RGz3PQZuDKMillO1iybhqwMiIIwy3bjJxcBSHcdF0bjpt5kg98yMctcoWVCs+eKXPeW0sJdD0+bec3PXICLz/Bd7HHg5cn+Qa0SYJhlrVmWtriAM1Zj77jX5dCQFKNOhrHUKc9/54e7IqmYNoz+B9gmEfwmAq7jovkPT3WOwuhg1eQqvuraEzJ1L45ZNqXwNvjd9HEs3fo5dH7Eh7HuW4bhh0Uti1uNW8sT3VImxTCgG/yUDMP0DmaD34RYwpi09wPkRBNOn6ffR/PWcmpfbmQYSclXLEbGcgS2n+U10is2RLOnYlJnWXPNsqB+li1myzBr6lrVwcwv2tGg6ty/Rfv9ho1dd1kNmOVGxjKnR/ZsZSbNgDTL3vJkfa5rFql+ljUKuixa1WtpL7cqsKsA8K83WYfr4/xCh3ET59+H3nIQWkS9EuLkFRtgU+7qu44DQjV1IuL+LixHGO5aH3rGAv3IMOLPkvezbF+ztyAbyZfmy78ZP9kZtAxDfXU3+A0Cph0QnqeOWfb8LJuJp1pRncoW8NT8O9a1YyDGM23bzvjgtiEjh6n7NdX16r2ucmt5ZCxHkFua5aNYkFWAJIOQPMMywIg9Q6+9nDDLJxU/ru7rR+Ur8y4/7zpQbrbodqoluj7aa+qlUkrcevceq+OrvabSEefiSGiWe2OW6+4VaiMqPGyZKCHjIQQvTzaDuxlH/CA6arBSA18Z6ppolpWfZfI6LKYoojV368dr3/5l/E1g933IKB7E6mooj7hmOXZKmcXpzHIoKEmc2Vu7MMZcswoQ6ieyytjVkeaKsLH8yblL8FCninPQrYy+Fh8Jd9Ab/Fxy3bUB+/FHz4V9j5U/E9KsYEKgkIZ1p5plDpRp5lzxmcXZsG49Be5GyNWKkbEcQVbjZ3mEhoOFcBmx8m+yDIPhMwoIz1iwX1UzGUYMqZ3uN297FG+/7mZ84aYHyzImTSQqzXKiSR4qi+m4/U63q9b4k5jl+nK4KUKd6rW/+iSsnyhZu7XaikRkMx+F1vXLOLNsM7vVJaDa3/LDnu5UXLPMlCokl2D2EVb3HwCzHKj3cVu53pD2VkMimuV2NalTdTUFw84sB9HHzz7v5M3scY80cTf4kdMd5Lh58eTqS2n0iZwPudxv9Qwxx8omCK3E9AQ64dVMOzntjGMCErLqF2TV0kOaZRdtS5YRmRC6Kgy1wS+x7qcw5KsBI2M5Ajd60QgMetQsA2aQ5WUYvDSjcPIoDQSz7KSuNRvcbOOjrr0OYvDbU7kOOjhbdkZJzHJDGUY4S/uueum9AAAgAElEQVRZ0M5VbQyLsWsKSStmNYyKwqapcZwY8b+9FrBlesL3thCZJKod7lbyqm50nCHQHUABI8PoMovehX1xlb4ewQlaD8urn/vW/fi3b/+YZG4Vp/ae9JrYKddYqGtd733jNfj5p53hHQ89n2G3ldWmxy0b7HDG9Gc36TP//LVPxrmnbGHP6XFA1We6wU/699BjQWUsIw8wy31u8fOYZTV5VYwps7LTK3S/DckbmU5bzyB1gy5k6SXHMMvS2+BKQWUYGdEvQxvpgn71kPrWhyXc9chYjqDOz/IIBkntwHmIhln2qyG/H8pfLLJdx1XGN5F4aBRpQUkG8Zr9/SApzHK1wS9RhhF2teV+N/mVy/dAyq9MCtHtadlSNvitTVx8+la883VPcY4K77M+Qp6/qvVZZUAXMqBZptdUnwtkvhShx0HLrteSHG+e34euvwsf/PydTG6xezaAXmVyf3vz3SexK4adWT71uA34lRech//0LDuUtxCip98eI6A8bxgRzXJ5rIKSYQTKM2jNsrqxCeNsn+6nRlgBhqRzjLlZ6Q3DbHaXZPOjRJx8yWEM5FzynkQAf06vH3MDl69l0UfG8tDCZjyHu1PsFeqpJDUDz1hWxm0kYwdcp+mtghFts1rW5ti3pkjtdD3dcMo11UCRpTLLgUzHF/fhnVv+HqfK+8t05OGoDSCe0/kG+ccw5HZDfxDAmKuJJRuS9ONmZBhmiqNcxznGcmEGR73Jleibm8owQrA2+FnHG2RSk7dnl0Qyj902qlmuqae+dEMGr1kL7hKvOG8HG7BF9/0NKsC6yCZKjzSJuDOzSqCY5WXS1PvMcgk33PUgIJ2/QJxZFkKSVVObWQZ4LbI+RzLmmOVgGQMSpxDUax25jhti5JZm+SgWZAVDmB6z8bVRbxiJeVA/k6YTI188zXLv1HLyL+yBWdYb/JI1y/zxLbP3AADOKe4qDxBjuSPTm3tSx+bJMEaNJATebzjHllUMM1lSVuwodR1HKyr7rgjb5N7FcnXVoNmGiKGikHjfZ27HTXfGXMPFESpGVIWRUPbUPQB1CMsw1nCdb/DTT9o+hfe+8Zp4pDctw6jeWWSDX3msuq674Bxx0/Upw3AqvvG6pDTLavwZwP1p0+QquCPPOq31GMStnypPVXt69BOW6eNJZjHL9rMOyjAS37+RYaSlX6kYGcsRWEtGA+gTX/2C8/HyZ5/df0arFg4jppaXG7jVcjXLLdH1IviVc2vVgVXMMqMB5RB9zYkTAp8dS7lx+WxaIq2coYFhrDsHAJjDJADga7c8oM/tL8pAFe2lQ7W5p3Rsrp/sWOepn8FaNS7Ynx2u960zn4zxK16KJeRGhkE3+JFLJBPvWkiJrvSZJsDxhtHgJ8Rcx3355ofxlx+9NXRlQuZMxggYDAn56urmaZZFvVyoQRVdq9WZIsm/ekIawyyrdxY3lj3N8hFilhVUcT15gVPURt4wmMTWMef8xmxeR/bUzDJxHefKkKj2m7YNKsNw2W3XSFTPI1XQNApKsgYwaD/Ll5+3HU993M6+81mJ6E2GUf5NdR1XXmOnzVHAtRWoiznN1CVu8IuNfqlN3Xff1oRZTpNhhIzZdmcWADAnJnH/o4fwL1+7R597pLsRADC+eKC+PA28YShmZcM6fjc6TTuyLQgYrb6CyDKMXfRsdNAyxrLetGczywoStI4Wpu676XpUJIXdu9Vcl5J3IG3UzzJHqHt2CyPDqEGTvn6tMcv0+TZ5TildvMjscM02s8yUxTOW6/2D9wJ/H0j5NxzBr497MceshaAI6VO2f4HTWo/hwvb9gJTMBlf+RWREv+zWaa+ON+zMjbZ7dRvL6T5y1iBGfpbrwbm3CcFnXMPMcuhxu4NdDskEJSHWsnaIPohw12nJAgGf4llnzfwshwYAxSwfxjgWO4WlgX602JiUN5Cmw3OTnL6zPv+10I5e8zMXYNumsPcA7lhZr6WXUhKTROmQXc8AnC5RSFm6VdT5Gth+ltMbhAxcV1dXkuq/szrUS/nsC8s/7nQkSbOcugqAtSvPa9qOUyYVmcssE+O3YDZmGiKkMvSWi1mudR3H190QHts/j6/f+jB++imnes+FJ5Eta5nNU1YSDEDgpNYevGr6i+jIl3l7YGgR65hlna4/W3kkw1gLyEbGcjoaSA0UVOPhBpzU550L5SFAot2ZxU9N3oRMEJWYYgGOQLhrKSU+9bV7sHv/vHe8Dio8cavPDX5j3VnrO2UWZovxpLwB4LPfvD+hDHYhTjt+Q3L+w4zLzjkWp+ywn0Wy0sg7aGQUIiDDoK6iDEVblLvjwS3FMsZ1QnsLGcWDYIx6Ya1TBBqeNwwwTHtN8bc6btMo1hqzTNEkKEnKY8q8lRYyOeNWUnz2hc134EFJqr+KTPOCM7kTXuf277juZnzya/dqF6MhcAFKwstCVVnIg5YMsyydKbpCZoW+Vi9WyesCupJUZjnwnFYbRsxyBKnBMtYymowVfpurmOUGz9ldRsqJoXDOw/+CYyd/gIcXdwLyWPzHbY+g3ZVABu0No665xnW38av3HVrAx79yj3c8xfyVCZrld3z4Zlx42lY8/ZITwt4wKmZZdaoZMRYKZHj/zFW47PFnAd9cipZn9nDYlZAuc/X3+VeegpO2T2NqkvdzWiZe3R3lkYI3/pOhNyPu4OozkiUDLYWvOaTeMJJfi9ST27seOGAFYhhMUJLA8Z6tZVu6Yi5p1qf/3i88HmeesAlfvOkh9vwatpX1k2y16utjmmZZMcU+s8yvCPhc83IgZJR7zHLoeqdc84tl38q5TOU1y+RLMACK8Yihj0hp9f/uefr0cmIsu96SfCmTOp5W+bdMlyTNhadvTUq/UjFiliOwKzOv/xuhBO0Q3vWbV/GJAhH8+AAk/JN2uxIlWygKIC8WrXR/+8nbTOcwANdxdQiHA05glhOCktzyoz34wL/9sExfdHHJ2N1eR9Yqyp3hRudK2RngO4un4uD0KbXlSUKV9daNE7jk7G0pSdcw/PrMyo/cNgLzLo07OBEc9MxAVkCCelw16MW4FTD1+E//8Ub893+6ydyzJrs0zyqqpE5ZY5ckbPDjvGGo56Ui9o217WdOX8upx23wjtlp19aIIJnPW6bDzLtCiqHhRrmsWw30zoZWPvqVYQSYZR3uuuBaGXNBhW63PMD5nJbMA7Y3+NVtAKfGcnyyaMkw0CHH7WKHmPLUqr9lwwTe8bqn4HlXnpJ2wQrFyFiOgGU811bfWAuzZGOORRlGAtUJNWPw/Q1+Ki+hZ9cmHLBu8DooyZE329K8sDWTYRQ//BJePvVVXDn+Q/a8uymMHhsUjC/beij/qjHXUcMMXnJhPobfDJVhKHdwGb5y2HjV0bvfSSZCFiiQWcx0ws0ikMF6XCfDSLmdVo84iXuO4Fedc41l2gZ+8tIT8LwrT8EzLzvRSUPld/HavVYXHwWAg3MlObF1o28sv+ZnLrDT9+INo3D7Ll/Pbx9YJhmGtwlFF6o87+8qZZMrdLrhPp6bjNgqDP5afcsaGQb9KbZmmTDLVW7XzV2B7y/uxMPCJkJ0v9+g7m9YP8Z7vVpFWJsjVyK4DX6D8IoxVPBt5UhafobaxM+yv8FPMcvSRC0T/qamWNhPO134/fa816jBhakb/DB/EAAwndn6aFVIvXRPnoP+Zb2OHX3s9Hjlc8/Fi592xkjXTMD1JW79lsK4glITnwICjxab8PHZS6t81LV2TqVm2XcdZw/Iie0C4Xpcy1SnE8u1x//b39+At7z/2/UZqsmi0+4FoOtxu5XjRVefhnbLCRZD09duBlxr44F5nnsPlqtYWzf4eyEuO+dY63uSZrmaSHMyDLV9zS6JazyHNr/1hxCzrD7EZBiP7Z/Hn/7DjdaxTtdhcqzM7ZVA51DtCqmt2PCNZfoUKZFi+Vmukjzc3Yy/nXk6pHDUuopZXmO20EizHIG1wU/9XVv1oxaNHofIYPnOjHjDCGUckmGUm5tIJCPdoKt0iYztcrzeRj6LwS+zcR22ANBGF6VXabvkqiOkxkKmmffe0O26S3olUjrN6XVjePblJ/V459WP5HrlzUeoN4xqMqg283BmsposSSPD8De0STd5bQkF0Sy7GIjruERW8O6HDjbKt6fVFPIoDEkSSLqGx4M9B8oNarENkApp3jDcyk/7G/89HilmObTaoQ7HVlb+5ev3esdUP8rayuz9ydGaeAEdYdx3SulPFruEH6Vto2WRNI4cJsSUr7G6P2KWI+DkAWu5c4whqT9ynt0vPvMsbFg/hsmJcChVF67bLCPDII1fZMSQk9bf2nLGNvj1aGamaTbL39EKMMudDq89e8bk9/H8ye94x1kZhratevsdB2YXre9NtWtrGtx80JJhCDYhZYa1DKOKxOjWcTrUimqDXx2zXHeUFl8GjAJ3Inf3Qwfxymuvx2P71GbT9PrmJm3qZ9kFN0muq67C+lwziVhzld/83p+s5CsnbZ+uvSpFrpIJx9Vh9YIf7W7AITnppfdef3B5ov7eMQRXTiR/XgQ+e8Wp28wnmTErUukFgKXMTFwKKb36T6O4unpmnU+Nn2XtojVYkuHEyFiOwDKWFcOw5jrHGjRa27er2xXn7cA7XvcU5A0i+LmwNMtE02mWihRj2+9iXD8yDPo5xH6Uf0OaZV/nZvK5YvxOLz0vw+jvGXjGcg/atbWKkC/xj85ehncefFbwOgmh36EgMgx1TuUDlHXIvGHiOs41loMMcWwglsmu4756S+k54vv37K3KWQ/Wp6x9gruKOeIaLn6a2vrKMMsJSdcIzPO87Jxj8d43XoPJ8YQF6ibeMLSxXOBgMYE/PfAzngeY0pV+GrPc7wY/d5Jo9sOUH+q8YQTzZY8xMgxr5Si8QiqEQCcz+4WKQmJM2F6NOjCSo7DU0c3XOa9JkrVV+0fGcgSslnZt1Y9aKOYlxZAcxLOjHeSu7rSRYRRmg1/JTdizXxoCNFrGZRj+bGM5mAqA8RvtYqnrdNi15axkGOQXq8+9jh1LDru9VrVrvWC87etihRD48sK5uLuznR50U3nMslpK9ZllMpBV0hxug1+vMozgBr+axp/mDIOvm9H9fQnnYhv8UlBnEKw1g0FJLpr+7pTkQlReXjRzWYQjzgnhv/9liuAX2t/nyjCa3odNLpnPkWw/P3++/iwE0HVkGG1H1tdN80tifwsxy2ur6o80yzHYmuVq1rvWakgNmjyOkIHXQLJs5bGvWG/LMKhvVYep0ktOfXScg9jg1y0k72VFyTBCzHLAUPWyqf5qZplo1lwpyuPOOAbfvWt3tOwx6HuNmkQteGPZT+dvYqKrBL4vVe4aAJU3DD4oiTV5Y5isEEIypNR2keLYwpdh9MfauZrNFLCTv1EdBwC8/iWPww8fOJDGJhOkeELIM2Ebx0UBSWV35GOWCWY8CdTPBuXk4NdBaf1xjWn6U5v2jTSrgptAOhOCh7qbyL0EuhkxliHRdphlV8bIg0hhENYsr7V+f8QsR9AkDPNaR5IIQ6RXt6BmmZzpQtgb/CxmubqnNpb7l2HUosaABUoWolsUnpGq+uOQNwwlw0itfxkKoLuI397wGX3MZdUuPiPuJP51P3th9Lw0NOYINRgbC3tcAID/WDgDABdwxNTmUgphjATPGwB5vVqzzAyONYsbGu/51PdJKXpglgcwmvY8t9XMcnP/6mvNCGiCjVPjnqeLFKQ80tIABnnpMhiAh5Nh7D/ER8Tre4NfQGZhmOW0OvaL67+Kq8Zvj5artqzeRm/zDDIB21iWQNtZqQwx9RSeZtnfdazPrCWMjOVUaM3y0S3GikVKfxR4dixbn/CcC5lZGxiEjlpHl6NLpHqCyIsFPHfyJtYrxSA2+BVS4l++fh/e9ZFbcMuP9pBEvmyCYqkylpUje3u1jn9Y7QMPWt8f7m4GAFz3hbvKe9X6kLXP7zxmfTT9CGGMM1HOaL3/2NwT8Ya9L9PBaRRK13Hl58xZlnY3c9ooqvPCr1M2tRzEN77/KClreNd/rZ/lhGVbVSTf60s479hd1XWcDGO0OnjkkeQNQ5T11TC3jgxD2mndfu8jVb/moabb/u6duzF3OBzR1JNhOMsg3bqgJBWeOH43fm59ittD/r7lPeyDlneLTOCh9WeZ6wvpyTBSIli6t/WclKj71eY0XBjJMBKhta9rrorEofrAFEOyySAVes60sXeQI6+WWcugJIaBM4LaatBMXI498ZEvYOfkrdhbrMc3Fs6yT9ZlEfh5dPzvFhKP7St9Ix+aIxvmapiwjjaW0+a3QhZWed43cxXu6uyw0tSFGafn//p3rvbCs2pd6Mj4qMVYjQxDQmARfjAfa4OfdI3lKh/9nSydSqllGF6ejK1Mdf4cYsyyu8GpyZSyDMkrjGY5Yte7SAlYMqhAPKN+vz+kdBG5yyx79d28S06zHHrXsbnc3oOH8a6P3oILT9uK337xxWya4KZslb/XZYvAZzdf/xgtK3tf58dQWUUmgD3rTsf18+fh6ok7UEhfhpEW7n2kWeYwMpYbYq1VkDo0GURCtlkz3bNBVwq0qpmzlJRZlp4hoRmmmrFTVJGMxlhmuTe4zDKbhtmQR9HplMdbGb8E75bSHTj2FVNeyibM8sSY31UcjWiIqxWsZplJ54WWpRv8UFjL0p6fZWkMCpW2QI3rOGtwpp9dRjZSd2uZ5fC5opDIclJC6RoDPa7mAPi9DZ/E8a39ja8dMc+DR8qEOstQ6SvI5JAYg5bMSMCTGIWM5Vg/Nb9QGpO7D8wH03irHdL+23sd5ahjyX0k19iWOZ1MCJSrUEvIkVWTW5dZ5mQYSzJDm8r/nCSjUO8lRjKMRGhmeY1VkGT0YTexRkOIpa1SFxAokGlmWRJmOROSMLXKeEgrpgo7nXHa4Ya/Ud2TdqblkjUzM3fK62LJYZZDMgy1yVFAWr0tu7GjpirXVXU9IRm1iVqwLD63J8I7RL1hSHTpe9TMvl9nBKQeGH3XcfUV2WWLS2aZv65b5w0jJqVwLA83ZT/uGkOG8sgd3JFHUgS/zJZhiKJruTqj9U/rmxvew4Wq563Iip0rM/KkEMqtZ9O6yhrD5HMKs0xlGMLIUzIhUXQLz3Uct4fhYLHOOeIyy3wR1lo7GRnLIwwEKf1EkF1o0Mupxi5Fhi4yS4usmGWOBUtdjpXVJkTOaO1ds2w+FwVlvanh40fco9AyDGV0BYtCjOXCdJQpGztc1LJBa7TTHBRSnht1/ZYFmWX1HeadyNKTAO86jl4TmJy53lcQNlxDmmV930izcfWevgwjZmiH8w3dtOe6OqrkfSFVs2zJMIqOpcm1mWV/82pYhhGuKCr0dCsPl89120mWQaw8TNn4zy7YUgVWesyxCLMsRBnYRY2RsvA2+LlZFhI4KOMRGP13tzY7/pGxnIqqwoxINBuNnkfIVmbzDWmW1d/M0nNKaTpLzl2acZtWw4JpYzndWKiDayz/H/bePM6uozwTfqrO3XpTd0tqyZL33cYL4AXbLAY7NgYHxUAg42xMTCADyfcB/k0gHkiY+THkCxkmIQyQCZOEJCQOEwj7ZgOBsNkkLAaDMeB9lSXZaqn3u5yq7486tVedc25LltRSPX9I955bp07d27W89dTzvm+4DFfPDbVRGsuNgIOfCZOFJEw7rQSN5YrvU6VplotQGhOrQ53fjRM7znJYs8ztC9DMcjCDX8VRL6BPMiQo4klJPM1yzLYIQMeo9dtW1j5RbwU1F0HSHx941I2zDGgtMuE5ch42lrNA6LjV/FU1CRE2hfYsdL2U1e7GrjcoT0EdQ6irWqeQNaJluJplQvVczzhDy4uG4fidgGCeOdkRiZ8Axm5DcT3Q/sMZyViuiSTDKEcdQzK6SA2lWdbMMuPEMoKJEVFCD2jbWA7WaRoPxZBYVcY/71zQrz/nvJRSiDlSaQbEH7JmcaJu5iC5ySwPP9TrO+6lMbEahOaSsI5Zb6QsDaeSWQTuMeMsO5+Fup8hFQUQiOuN4Zll1f/DnwIAvvqDR4u6w6V2zi6jHzNGLBZOyESqRm2dE6ZVBudJKEHduURs7oq+x3KbWTb+dpT4JyurYZblRi+LEAMLy4EoGc7eVJ7CDL1iVBE3oY9dY9mSYRA7SsjAzrgqyvs+Ea6x7P4SUZvnCLOFkrE8JI6w/jEEVrcIAcNqluX/VGmzAKmjkganLudqlsvqBAxmORLveDXgsTdFo75y2yO479E58VzwIGMmjZdsGAe/XE+WIc1ylWlRNyx2GhNPHjiISipCwBzjwS1rSnyKDH6cYJyu4CWj39aSpeDxrq7xBSPfB37wSevzMs1yXQenULGPfOUepy778w987k78xSfvQAjWuOXA5771AP75X+/xPvNQ2V/raMkThsFQ+26DWR5EmGVCiHf2F3fwiz8uZ/aJnYuMEmykc3h66z5dn2Mt95yNJYm89tpV0dY6cZhtGYb8XYprfd9YdtcNBuLJMNylwl0GdBSkwBc4jJGM5ZpQsU7TrGlB7jrLFqe/X3g2ftg7JjpxDBdSToAXk4LWRXJDs8y9GVKluw4aCgazXKZZrjIKIl+DWcy1/1v9/c0/VU4ilISZ5doOfpaxXK5Zrvo6VX39F551ImamOjjjuKnScglh1JMfGZplzpzFTrw2pUj6Ex06boKu4HmdO/HU1gOinNF73D59VLYHLxy5Hc07P29dF34A4e/hyjA81DCmdRG/rBWPPALGOb76/UeNCvXLO3tbVdIXoNpWTlP8/kf9OZ6o/kkcZtmsQsdkdu4Mh5CIQp7YxUJycg5cv+7z+I3xrxunmLJa8SKk76+FiqaGmWVXs+wyy8Z6MPCTtLgt5SB4PF/nXHV+10jouCMNyVhO2CdMjouMQWVZnb7TOwl/tXD5qoxi/3oxYRUmgjmBmZpl7pQv3eEbY58pA6T+BLiw3A+ya9LMcdkCFafSKiuP2sPG8rqdt+EN6z6nGZDoybdpLFdolitQZSwff9QE/vg1z8Rox48PnFADdTTLINbftIxZBmD0LWZl+7PLBJpSyDD+y+Snoi2Jxpv1hgoPvitPSmIbIic2dmIT3Ru/wXlMmU66jwx39I4WbSivMeFJQv2pn+iIPtw2ltdPaAaUBDTLFOGNW6kMQ/mCRIxlAOO0CwAYJV3/QyAuE6pAZDSpV6vRLJsOfiR32gt4TpEcBNvzydJ2xtNdH1mjKRnLQ+II6x+VWDfawvuuvxTbnnlCdeFhpE+RH1oaDjltwnTwY45mWR3lEfu+KijNciAqRWjOnZ3v4nXv/jo+e+sDJZVGLVsPwkj3y59830dwYuNxNKjPLDsPE1V7Dn7DD/XU159chDYjPrGsmWUS1SwHNmqce8aEeh9x8CsbIZTUc/Az9cv61KekYqeI/P8N627CW6Y+GStelLXPV2JH2CLMpPFbVPTr2MyTsHrUNaysUzI2UA5+L7z4OIdZ9rsVAUfuRq6ogGKWY5oCzrHIBCE0TmymVj7JlWFI/Pj+3V6kDLvq8jUmzJKXyTCIvYnoB4xlV4bBCXa6xrLn4Be2lo+09SElJakJ2WGSJ7WPkXa9bkSV4Woj7NQUxl4+ipuWz8Xo8c8G++lXHGa5kGEYE2mdaBg2s0yt8la5QHt2z4sJ9Pt37cIlZ20OttnOyhT+XiazXHaqHSJAzOLEYBYtGUYoznIFqqJhJFTjTb/8dIyNrJ55d5nlsmgYYRmGUV6GlFptWyI3mgZyzthQ0TDcMlXjM3a9bMzYDHuN1qRuv99ReyohgBILcKbiLLvrLiXEOy0jhGPAGNrI8MTeFfzbnTvwwouOqwgdV65Z5hxY5i2MoYcJuoIdzJBhFP8rZ1jjOQ88No//+X+/X+ML+88LvdbXymQY4ndW8dUHvrHsO/gBfccMDOzX7TrUGnNkDZTELA+JI203ta+47oVn4PjNEwCMDUdAl+kh+jsTfH75aVhqrQfnBBQME2QZXAkzClaNawMDiCf7ABzNcvHgLCTDqJJaeEaCb6DHWqF0qUZClRAawRFLAq8AVIWOq8C+6vM/cMPl+3T/4YAzjp/GsZv87IlA3blEG8uUl8dZtu8SZXnAuI6yySX9rm5SktAxeC2No0stV6A/YPj6D7RGuSzknPs7VC3ydYyAZnggJkQwjGZZMZdcM8vu7bEMfpLJfc/Hbsc//+s92LlnucLBr2CWM4rb73kcN//7g9bnHMASbwPQzDJ3OqvHLBMSjqLhICyvNk99AmPJGV9mkiI3GoZ5sijhnjDK99fv/jWjDeWa5SMViVkeEqnfDIfnPHUrvnLbIwC0IRea+IZGsYNukhxvn/4Idi+drT4yDWPi/B+aN3ngXTDOcqgZhoTY/dxlIOQbHdbOXMC1cV8WpUJlLAw8R9wvpSgMJC+XYVT6K66yrz/73C04LmIgJmiEjDLPmcaQGlEwDMx7ir8fVX3C7PcFC02IVRfgLMI1nXVIUXR2PsBWWcxyeX33PjqHh3cteNeVZjlwT2g8fOIb9+JnD2tNcxmb7TLsq+nX7j1ve+UzMNpJy2ddDCfDKOZCw8HPvV8lMDGfAa1BXukJHTHn9TXLf/aR2wEAVz3jON0ezrHECxkGXZGNNP9Df+DHxq+TwCpYwtrkVd9l92tiR8PIfWPZW6PUs8KOlIBPmhyp0TDSaB8SR9rRw/6APM6PM8s+qkoQZwGkCzv1Z8Q0SG2GOQjL8oxn0iud/upWb7y3fobidczBz21fDNb3rGCWqyb01cowXnn1mau674hDjZ+XE7Eh/OWxWzDO5rGba0mHxyxzvZCJ05WYsWzdosBK+hYBx3J3gP/8vm96n1nGckCjaT7v7R/8TrD+MhlGqJvOL9qGQGmmP2NU1CTzK9FqZpgYbdWpLQFDbFAIoIxlw8HPO4tUqbHNW7mSVZjVuWysiUrNMoCVYsxNUMksFzCqHeSsYjYNairKS/VX8O71H8SHFy8CcHnwHisMka4AACAASURBVNMBkhYyDMW4MzvVtbid4KOLF+IXx75dPC+wLlSQWWqsHWHMYTpLqgnlKHZk9Y/9Ave3q8MsVxnUQpds7Kp7i+p1kFmOpJEGHKNRHsvVPA/WzHLc9LSSNkQKafaQKwbvle/4Mn764KzTWGY202+PsTkg+6pZTp39SUVdrf6xjd24uH03pvlsRLMM75pIje1olqWxHGlPmVFBACyu+IsvYLPJ5us6YSXVs0OnMEPAu8908DP7fsk8oIqsrgkJJaC1f1VThqHjLPtsp08AmDIME2WHHYOKOMvCF0ZghBRxix1mGbDDx4VqCoYiDT5PX6VdEXv/ss6Pjc/j6a5p4eBXxiwzEHyteyZ2sGnxPrAuEMfBz2OWZblA+w9nJGN5WCQDYmho50j53vl8lcPO8gTuLRnP05OOGzqu2sFYyxj8ghUNioXWMnVoFVXIaBh3PyKOmP/luw9bnxM1Wdq/2bHZ47iwpRM8ULDqaBgVjUnG8pOL4IbQu2RfsA0EOa58CYOUYZiPCLG3IQlSsK3g6PXDIbKsDJUlDFu5IcxrlLEaFLhbg3LdVuuIuU7VJX+Wy55+NC4/72hMjSdWeSjUnkr2TYbhMstAuQyjLDOqRAYjyhL0fG72+1hEDN22eicmoWgY1r0loeOEg59hLBfM8ieXzlNlHs2nrUcHmWXnmnfCeIRay0mGURMEtsEn8dsvPht7F/1MOQkaahqKyTCCzHJ1vZZx0NfGMkUoznIJs8z9N2EmwL+mDP0yGYY7AQYdBYvnEhENo1FMUC5Tooxlxynxdyc/B8Awpjgq4yyfViQTaTZoMLB+spWfXNTq404hZmY0c19xqH4hM/gFZRjWA8zX5ZZqzCCwmOUa4a5CYOor1GPgqp5hbnYZiOUMti/9+phN47js6UevvoIjFPVlGCLOMmfiXGTAs+D9FoMqr4F7mnmO8hMTqVmOyTA4uDKWQ5tSCaFbjj4maFdW9etg1lUvdFw8KYk8WbyzfzS+vPtsnNjYifsHG60WhdYF94pvK/NgucMdiVmui4iE4IIzNuHnzj/mwLdnDcFllt3Bt5pBR4htOFjMsinDIPa1sFjCtGbjmuUqXXKcUQvzd+amwY3aITNKyWNCXU6mLA6zgzq9Nwdh5Rn8Nk+P4gM3XI4zj58OtjuFjjvwqFq6bBlGeAMvrvFisdWftkkfW7NZp+8U/YWQUt3v6c3t6EWSL5gyo8XlgE5StqmsO3Hn/wq4VXn2kHFcbTPuq6k9YV9R95RKbeiKjb4KgxZklh1jmXB844fbxWvjeqkMoyIuM+dARmxjOdRHrY1k4KsGHcar4izX0Dl76a6NTQThYixKo/u+wSbIPAJ64xwwyN3f2lkHQuvXkYBkLA+JdDQ9PDzNsjfJVe9uA7VGmWUCjl/a89fYNvJdT4YRgjWZKmZ5yGgYJdZyLPiAf6AujRyuNHSuw9TdD+/B33zuTlQ5+lEw0EEXj+fj+JuFS7EaAyD19YOAQDQME6EMfqGNICk0y2Z9141/Db83+emg9SBOPOJ96mVj/468Hz5BM9m82+953C9QwwBWR9vVRcP3u8wyj2dVqwwdV2rUr7aFRzaGmUoIODgTfz8dZ9mGldZZ3Qd85XuPoLv7MWyBdvgu2wRK2UZZLG/qyTDg3TNwT12c+up+fctADvI6cc2yCh0nM/gVZEkeMPNk1fWY5bAM40hbHpKxXBPKmDnCOsj+gNyZ6qgY9ufNBsVvvPAM/I/XXGJcrVjQYE+WlgyDABN8DleM3OHLMCrWOilzCMVZrtJc1mWWQwU1s8wArjV0rgaPguHrt293GhP+rbL+Ah7O1+P7vRPKGh5FYpb3P4adP7yMWyXMsnvCID4PPNBccHnkegB9R7N8WecObMlmLU3oTx7c4/XvKvNSGOoVhRz4Hvruk1Zv1Ab/RGni3yfUZiGJiHPEBoJZjsdZJt58LOfQ3j/fgOvIx9X1OklJYrM3B9fMsjxtDIQ5jJ266PaWs8gSI709mKFz0c/9dNe2Hp8Qg40vZBhl2VvDsdrLyazLzz8GY50Gnn7qTLTewxHJWB4aadIcFnKwNbOwswYAXPrUrdg4NWLcU1Wn4wnc16lILRmGcy24WbcmoMJYJiHDwb+7jsd/5dGa0U5KRIksollW7EZFohMCDtpfxCLrWNff84bnlLbPelbq6vsd7/hPl6DTkjrMGicqJZplfY/fF0JxlnV5X6JAhFdsadsHA1NiwfHi0e/id9d91gkd50cFqJOUpCI8s4UmBhgZzFnX3HFFmDZeKIZxsUWa4p8E1N9rSBmG6GuDwkRx2U1KfRlGLPEUKw0dV84sg+vISN5XiDj4kUDhsqRYJq54+M/x+1OfKKqvdjI318BWg9rylEKGkQfmDB1GMiDDcH9Xp8jRG8fwnjdciumJdul3OdywT8bypz/9aVx99dV4/vOfjxtvvNH7/L3vfS8uu+wyXHPNNbjmmmuCZdYMHClBQn3IxVJmvdpfv6HFLOf6iNg2lqUmMz5ZWZ8UbW3UZJZVC3jcKDCZjTiJJpllkSlNsrq5xyxLdqOcBczAkPWXsMDtCa1B6w/5I02TdiAwMzWCs05YDyCiNfZOPKuZZeOCPiIFLxilgLFs6nlrbOQk+gZ7JmttEGbJMIYxevVz9b9lyJ94ECOki1eMfx1Xb//fttHv3O7LqDQLX5vkjLY1YVjUlnQpZlnqbYv5yjU+g9EwwvKisr1af1D+F+UIRcOA9b98ThmCbavoTdIx0fzqHHEZRquZWdEwpAwjHGM/TvKEnCkT9iEaxo4dO/Cud70LH/vYx9BqtXDttdfioosuwimnnKLK/OhHP8Kf/umf4ulPf/p+aezBwGuuOQv3PDKndG7JfhgeUnerjeUaiuQav7O5K867djQMVY/LClQ4VShjmZQfqxkPELfVK108QhrwRjXENJb19YFjfWjHw/InjpIVEHCPWQ7ZyrHfOmmWDwG4zLJlLNtFLBkGZ15SEn1jZLtWYenmlrFsbgDDryseZxSoN36WPvpWvG5iClNUxFSfpMvYw8aCzzU3BMP2Yj3XG5vxIetIsFE2lWzZMOr91tLBTzLLrs78mE1jmH3A1yyH4MowzHK1mGXHwY+HpmCXLPE2b8OPiyCz7IxRU2LRamZW/oEyzbK+P3Ty5DLLqfcD+8As33LLLbj44osxNTWF0dFRXHXVVbjpppusMj/60Y/w/ve/H9u2bcPb3vY2dLt+qtRDHc84czN++YpT1fuUwW94SOZpfzLLxPGG7i7qFLplMowguFleTFBN+MZyWO4gq4jXb+UksYr5i7FklmW5kGY5UJGHcSJkKS6zXLZRedEzj8cZRTg5IGxYJxxouMay4eAnHXn2QYZh9eoqzbIhwzCfaTLL4uQkYoxHuiyvay0D2NrYg91MpFLfQOfV9ZVvfwK/Sj9ntM/+jkMxwukUcb+jbN38w1dfjLe/6qKiIAEIwHIx/8Y0yy+99CRcfckJ6j3j8Tm+NN01k2xx7LzPDx0XOgsxXwfT2K/mTEJFQjLvtceouQa2mhSU+sxyXiK1CMdZtpF8VwRWvRzu3LkTMzNa4L1p0ybs2LFDvV9cXMSZZ56JN77xjfj4xz+Oubk5/Pmf//m+tfYQQJpAh4c0+JqNsGdzCJUe67CnjTbRMYXtv5HNLIemrJAMY5IuVRT0L8U9qk1jJlzI1CyD63yAbjQMLcMw6/R/q3GyDABY8JjlwORYVHXy1km89Lkn6zalzv6koGzZdH9zLxpGKONWoE9QaSwHk9Hw0MtAB7bf531bByzBLGN5eKNgWP8+bSzrDXL33/4ZJ9NHtKOsxSzbJ02V2UHl//VJ+YQKDKNZpuCeZtn9m2WU4rij1qn3A2RRqZ33NyPmZ3LshFsTjIahhltkHAUQlPRUnrgEpIAlpz+tRhaMhhFy8NNmf6Blzm+dlgGBVcswGGNWB+bcnoTGxsbwl3/5l+r9K1/5Srz5zW/G9ddfX/sZGzaMr7Z5+4yZmQnr/e4lYYw1m5n3WUIcMzMToAVFOTkhDLdGRit/w40z4+i07O5p3jM23sbjxkAfpdpYbmQAiretQk4hF0z37zczMwFqPEeGbBujPbTRQxc6U9e6dR1170p3gLmlHqamRgGIuMjT06PB7zIyouuYmhpFq3je5OSIqs9c0KemR8GbogwHx8zMBCSHJifsdjsLPkuiTcREuegwy5s36QVGPrtVOJxNTY1iynDaCJVdqziU2t9u679/6DOzrdTJLGYxy85C1+40MTbaAiA8+HNQ0IzAPSRpZPr3mNwlJA2EEExPjcBMru6ukTxmgBptpBlFu90EAPzN53+CE46ZVmPEXB9mpkewa1Zs6DZunKhkrzZuHFdjYC8T9W3M5r1yU3QRs2wcrab9Pczfanp6tLQ/TM2KUxlK9Tw1MiIqnBhvH1J9aa1gfLxT63fbVfSlifEm5qD7+8REG81i3pT1LO0aVV075+GE2uvXj6HTaVrXCCHG3CfqNOdos5075rroOdEwOp0mZmYm1L2AGMuLxWZyZKSJyUl7LaABh/GpqRG84T3fwCuuPhNXXXwCAMDs0aOjun7Zpv5YCysIY2pdB5OTI4pZbhTPDMswRJmQDKPTsbNTjo22DkqfP9TG2aqN5aOOOgrf+c531Ptdu3Zh06ZN6v2jjz6KW265BS972csACGO60RjucU88sVDqyfpkYWZmArt22RPx7KxgGvOceZ8lxLFr1zy6PWG49Yv/OeeVv+ETjy+g1RRGXEYJcmbfs7TYDe+KAXBDutBw9Ga9Xq7qkX/n3XN6+sn72uheny1ie64njr17l9W9f/QP38VdD+/Ff7vuQgAizubu3YvB9iwuafnR7OwSesXvMDe3HPwddu+aw54V0e5e3+5vUrPcXemh493po8vthcKsS77u9fLi+y0hMwyixx/3y65FhMbzwcTKiuhjc3P+stfrDqy2utl7g5rl4tXKSh8LGVEbqpxT5MwfI/lAP2PPXmGwcs4xu3vBKWnPvSvdPoCm9UwAqj8Dwgmwu6LH0J9/9Af4rW1P8epjxhfbtWvej1Pr4G8+8QM8z6lFSo0AAJ1xYGUBm7O9mGXjyHuxkyZgz+wSdjXjh6p798pTJT3nLBffaX6he0j1pbWC5aV6vxtjom/t2rkHbQCDQoaxuNBFvzdAs9VQ9czNr2BM3gcSlDrs3r2IhUVH/sn1fNbtir67tKQdxM127tmzhAnndHJ5uS/Wta7u93v3LmFhQTxneaWv+tAYWcGLRm7Dg/kGr23bd85jbrGHv/jYD3Heyf7nC/Nd9VzZpsWFFZg0yeXnHQ3cL17ngxwL8ytqjmBFXHSZ9j4kqQ5Fw1jp2omFVorveyBxMOZsSkkpQbtqGcYzn/lM3Hrrrdi9ezeWl5fxhS98AZdeeqn6vNPp4J3vfCceeughcM5x44034sorr1zt4w46ZEdLRxLDQ8swVufg979e/xy89w2XemVCu2IgrA+rG7rHxHpqG79mDXc9vDf6mQvuSERVXzIu2w5TTFWo44AKhDTLZc8eDDnEGwZLmGQYTy6CP693zdEsc59Z1rp58b/UWDIQDKjNEgEAjTgieU5yzn1m6DiTCGaM47cnvoCLWneLNtRxznXeVY3OT33jXq9dTcMJl04eBQDYTMW4JFZSkiHHvsw4mvr/fsMwvyUBx19+8ocAgBzxMIsg9tyWRR7BSvZhUs9cprPX0TDiMZljkoqTGzvwzM5duHbsW95n84WBPj4SIRGDoeMcWZ7xu7Qa1PLloXxQyLaI56THS5hl91IaBwKrZpY3b96M66+/Hq94xSvQ7/fxspe9DOeeey5e/epX43Wvex3OOeccvO1tb8NrX/ta9Pt9nHfeebjuuuv2Z9sPKOSgSg5+w2NfHfxG2oFuamizXIQM47JHWln1jAlqmi5Ey3nXuD+FPq15P66b+Bpuzn9XlzdLEYD3ltFAbocHYjlkWtJ6cZbj327Ay+UaLhqxFSfhgMC3lV0HvzizDNgaywEyDGCfLIgyZpzluPOQCzsahi6bM47Tm4/h9OZjeAc/17NNS8eNc+G1E19UBq+J0MbScsJtC0ZocybiL9sRcczfCpXGvPYf8K+tRpOdMMScXxTMlISAmJejlXIQI1JQ8XFgrowh7nxqRsMwLsKdg2H1e/myWRJVab6Qdo4VEh+3nSpqkkukGKCU4B8WnoVH8vV4TjMDpUZSEpZHI2GUapbdaBjJ0RvAPhjLALBt2zZs27bNumbqlK+66ipcddVV+/KIQw5pkzU8PGa5potf1acxIzFoLJP4xOkmJZlnHYyRFUxQ95jcvzdngRmywFUjtwMAOr09xrPsMgt/+1pcv27akktwzsALBjFXzLI4ZqTKM7vcsJHoY1hjOc2MTzaGsbfK4izLMWKaDByGVpETDGjT0yzLPtTr5/jQl+4yKg8bGxKhhCPubSHVXGU8WeO05Yzm9mAZM26yMpaJzx5vziSzbJd/cLARDw3W45NL5+NVpa3RMOepRJLsG+qHHxMyIjmHMx4/jaQFs8w4KYxl53MwcB4IHWeeilTHb/OiYWhD0yxnfgONUFQliQVpLEtNtXMawkMp2532ZpTg2z3hlN1qZsgoVSQS5QOl+Ra/n3mvjIbhI5QtMSFl8KsNvctLGBaKWc7qM8vDZvCzPgsyy/FJ0ZpCOMeAUyzyDiZIzJVCQ24E1mEe4//ydqwjOoqGfCZzj8CcCe+YxqzdPmYyfzaok3JVlIn/WP2hmeU0JRwoBD3kvUJONAzLwc9+JVM+axkGRU58ZlmW/9fbHsFpK7fj+Z3bi/vtp5/dfNhpr/7cjoahF3XunLCQ4JfyW1NlUIcSDTWJoa3kjrHsGCl9NPA/516EB/ONlXO4/MmD0TAq7k3Q+J2XnKNeD5PuGtD9S7GkwdvF33g3GwMD8YyZDAwcFYly/OnU+zgWDQMwThwiPaMsXv/8sjCWxwtmGQOts6fgkZ2nc9Jo7BBaDYrTj5vCqcdNi7YpGYb/+8lawmtoioYRQloZa0JrllPPqYO3v+oivP5l5wLQ4c8aQ2iW6yDKLAc8j+say0JOQTDPOhh3mOXQhCrZtvNwB7L5x3Bh29BWEnmfwf1ZMZ1N5sp4DsujR4chGUYZygLSq+cZv0CSYRxcTI7ZGmOPWTb7kscsFxpLxSxT5NQ3liXrOrLwEP7D2Lfw86PfVzWaeOXEV6335jG3Zbw6xvL63nZMEq33d3vqKY3HMMoNfwDFLIf79JWd23Fp5ydeO0zWjhcbzAm6gvV0wQod55001Zx/rHkqDYuhcf7pM3j+hccCGE6GQUxmOdDHFZoimsw3uqcLo9aRYagwnCVzpfwsrllmirE2Q9NxzvCchZtwTOMJfS3UxFIZhtAsj3WKyEe5EdEJudIsm7+d51dgfNhuZmhkFBeeKfT7lOeaWXa/l2KW/V/WT3edOj+QjOXaCGVdS4hj68YxPPWUjQCeHGYZiLM8NOAY4TpB2RWZRgADA8EC72CiiFVcBplhr8/FhNcy2C6qGL5Iu60TdVPOEZJY2IwLqWEsM9LAsKt8YpaffKgFL/Cn2bJhzHrvFmEBZllJjCA1y+L9ABQD4jv4SUN3akFs7AacYnG5j+WVnlfWRCgzpmiUaSwDVz7+93jr1MeLtsH6DAD+33VfwG82P2N8D/HBKAk//6mtB3Fu6yHj2QKWIcI55vgYGAee2f4Z2rx67MYgDZCUi2HfoXx9hpBhEJjOdJIZ9e8no9O4YfY/4CsrTwHnxFszFLPsyovMPum9sCHjPYuWaQEGX9yD0/p34lXjX/HvN+pv1JBhKJ8cw1jOCIusA/pBP+4djcxklps2GUX5wNB82z9OIxMnjiwUtz3FWQ4irYw1kY7fVo+8YH2yLD7x1cVzzt2CE7eI+IsxGYbLMAAVzDK330hm2dUsh2qQIa96hfy/BdNYliywySwbbYqk5OWMe0a9fKsXkWrNMiP1JBgmw50lC+GAIaSD3eoYy9zx+DddQT0HVy4MT7lA56DIA9Ew5CI8sSgM0GXeAgfwZx/+QUV7xX3Pa/8YF7Tv09e5zSwDWjct2+W+2UDmjHvEfcFEQBBGTxO+0WIbywyzGMeOfApXjvwIz13+kldev6+H4DyVFoKhMHQUKUIAwtUGkEVkBIBgPJd5G+Iv7GuWN2d7gaXZgC7Zn49j3IN5aqLmc6NBro7ZRRmzvFDIMNR3s5hlZrDIJpEiXr9tz0vw1wvPc2QYYr7nxbyf8TyYAfE115yFThFbP8Qse8ZyOlYBsI8OfkcSNIuTOs6wkBEdMjoEsxwZoNddfSYA4LO33h+PhlHGLAfK26QAV8zyOHFlGIZmkxAwztEvZBh9+MxyaCK1ns/6XlkA4GyAyFcLMsuxiZ7R4Yd36t9PPsrsra0bw4ltJELZuEzGV8gwpKERNpaVDKMrjpBl36tKybuRLoAAeMnYd+wPDI19lYNfLIQjB7AucpJDCbcYOlmHJcOA2OQO69BahqTC2He84BnH4d5H53DxUzbXu4EI7bGWYcSdwk1DkYN4fev1624Gbr4ZbMuboo8LyTCsBGshQiOkWZbHOg7KHPz6BdGiDHbTWCZ5MOadjIaxh40iR2ZtEGReAlJssIWDX6e4pgtu3TCG5eJ9jHAykZYEgWQs10SSYew7pB621k61RpE4s1yiWa6KhsFZwSyPYIT20UCOQWABplScPks9dshY1qmpTZZNs8bEOuKzGgTfpJJHwxVUiAEhw6hGdZTbhCcFTvf9w1dfhFEn25jL/PCAZlm/5wDXpw85KFhQs1xsXrlYnCk4jsr2YBOd88qacDXMuj7dj8PRZopyJGwsy2gYWWTcZmAWQyfHsuU8xRg4JyqJhVuH9b5ibtEOfmmy31dsmOzgD/7jBbXLSyVtHQc/21iOy2bc+S0kDXIJDWUE5+YmzYh5ryrx2V8Couotc/CT8kQ1ZAwHvwwRGYYy7sXzMyOum4w2ZTpJ5iHNMtFX6qS7rsqueaQgGct1oSb81HFWC6mHrTP26vzKUQe/wIJdV4ZBwME4wTwXO/IJuoxZNu6Vo5QAOVfRMKRm2VrUlWEbiW6Ra42myZzd8/AsNhw7Gf5uQaM//DvUlWFU1ZNwYODqlQHATbxgyTBkEegVn0NHwxgg7OCnvPvZQN3/XyY/tep2m3Kiqj0cLZEPxaLYUHBHhiFgXpObXHNj++BgAxZZG59ePr+8Ud4z45rltK18kkGopVkuNZYt7TGxHPBMlGUBDmmWOedaZsH9fsc5V6xv1YxZxiy7CVFMZlkYy/LEx2mbAdOQzbQnovGMgMzCrC8kw3DfJ5sHQNIs14Ycb6nbrB5Ss1yLWK4xQGPGcigGsekE5ddjvhGL7gITxrIpxbCOk4v2SQc/OamHNcvGEZ9RjzRWAGDEcG763K33e+10Nctmq2NLQZ72wockrjj/GADAiVvWDX2v7eAnT2o0ONd6YcYpWEizrPqf6HMhjf8wqGaWzXETHoGM86CxnIGBgqEV2IS2HAc/DqI0mjvpJvzJ3M/jLxauwG4WT2FbhhQN4+CAgKt+UhZn2fSvCIWOU5+VdW/urwt22P0A+WHcYcowLPqi+KBMs6yMeHmjJcOwmWVtSNvMsrlh0Our/iWC0ZAIUS2vk8EvEcsCyViuCS3DSD1ntZAG5v76DaMyjCBDJRCcN81oGFxolueZZJbDsZaVsZzbAeurZRi6EcSYHEeo6Qltz7yWsRFglt1fQcbWzGvKMBIOLM4+aQM+cMPlXpi4IJw/rh06zn4lZZOZIcMIapYhwmllXDPL+wJaoVm2ykrG0P0ePDZuheFkOgzKcg3CtF9AYSzL9O55iXa5cv7xCbqEA4Uh4iybf8dQBj/1mRtuzXjNdCEEXlp+JVacZcksh5zJia4jbCyLD8tkGA3kKinJJF3Gwl+/GoNH71QDTJEnJrMsfw+q+740lt1zSF6UrROBNIWOE0jGck0M7dWb4EH+hvtrpxrP4OdPUDHHIgAY++LbcHnnRwAEK80LBz/AZpbNKiglmKYLOPXuG9FCX325dsDBz04gYlRiMMsdYjr7MavcwMicFtIsuxO2nCDzoWUYCYca3BCBNlMkDQsBXsgwKNHGclBvyJnFYpWNjVqwomHYpzqEEGtBzmAv9rrdYfI2I1pWouo07lbyJWUsiz5fJ754DLIdiRg5GIjFWa5w8ONx8t+TYdg6BPM/uO+aizsBAIsYsR22uS3DiI2gUOg4Nw13UIZBmGfJ5o/8GOIURj/Z/A306woZRoVm2buShgGAZCzXhuzQqd8MDxmYfn+z86GJAKhY/AMfZQs7cc3o91SBGLNs3kopwbaR72HD3E9wTuuhoI5SG8s2syzraXR1GmwAyjmJmoUAdPtMH7sFZBguMyiP6tl+jAyQcHDgboTM05SgEIeLsFOA6E+UEnxx+WyrDsq5MpZXeGOfjWXFZHPiLfBO64zwW/bYbfA+NmW+gyEB89pn9neVxY/n4ICSYbjM8n9/1UXG/RUoc/CrmQwoYXUgRMZZrmaWs4poGOqzsuVAGqwmh2G8bi08BsaBJ8gGm/zgATlc4DkhZlm2OndYYnPT2Qg5+KnnBthk6N+DGL9L1aYxbCyT0vdHKpKxXBeKWU4dZ1hc+3On4gM3XL7f2fnYHBhyIpIT3d2P7MWHvnQXbr3jMWz7z59UWZRUOc7BOUEPTXR5w055bTJklDiaUfFMS4YRTE0tMEZWsPWOD1rPlhMbtflndHt+2CyUZChTMoxkLK95uM6qtrHsapa5JcNgEM5Sn1k+Dz0j7TkhDHwg+n2XN/dZs6wlEiToL6Bax3WkGnOR5pzj2ua/4EWjt3n3UIMpV+03XjcNZpmBqjE0txK/py5MUv4pJ6wHAJy0Nex4m7CfIDP4EVuuE5ICuNdiJ5ZunGVSY8Mp0Vp8DE+wCfRIy4qzrIgfeYtnKRdSoRJmmbmGJFMrpgAAIABJREFUuiFnCjHL8jkuaeO9Nk4UQ4l+CCFKhlFLs5xEywCSsVwbbD8bekciNDu/f37EuAyjPN31F7/zEL783YcBADt2L3rl5ASywNoYoyugYFhPF2A7+NktkTCdjkwHv2m6gF8eu0WEIuLckl1I5GphsJOSdPvhOkPfDdDM8qCuDCORZYcsXOOTlYRG47BlGCKhib8oEkOG0eP7rms/ubFDPyNErwU099wxWE7PHg7WTY0jebcOwGDuCiNioJjlkqWtUrLs+1Y87ZSNeN/1l+KUY5Kx/KSiYJZJoJ8EiiqwsmgYTp98fvt7WLnlH0X9QWbZkPl05zDLxsDdVSuYXc9HiFlWrLly8PMJkAZylcLdeKiSG6m6AsyyuThtyBb0vQXMLXbZ76vKJ5sHQAodNwT2r4TgSMT+ZpZjDn4kmJQkYhE6E5J08AOAATI0wPDi0e/guZ2f4MfdMwBsEeUIUeW2ZHtwFt0OIOzgRzjHtWO34ozmdmzfczc4RiLfRzPL5oTd7edoyzolyxbJ/gfo8GKDNLzXPpxua/Z5ybqd374P83wEwGZwGMwyoWqscU60vIBzg1ne9z7y86PfL5pKgmMvLMOwCzAeZgZphWZZGiMyKYnULA+4vVEcJrCFirPsXFdpiROeXBC9QVJxgkPprh0Hv9jflTua5ZOyx5DvEJIfOc228kW00UMXwiGWryyAdMZBeI4Bz9AkhjHOYWiWfWO7aB2ACmZZTuWqobqSGLMsZYISIWbZ/CVCpIz5Q1WFlgOSg59EYpZr4uSjBaNw+XlHH+SWrF1snhZG4rPP3bJf6qvLLOfcT4UqYabqBbSDn6yfEI4zm48AALJcSzLMSeqKkTuwhe72nm06cshJkxcRKlwDADAWBnDkhlNfL8Aso4RZjuk2oyiZC08+evjwZgn7Dx6zHJiyz209hNetu1kST0qzbGrWLWYZDCiM5f3BLEtwEI9xI9DGgEhKouPn1lmCKZjKSKjqNN6Pkq54wcS4zeswyzWRbISDABVn2WaWq/4WZZrl5y3dZL1vow8UCaHkNPoL29+L35v8DACAPX4/Fj74/6B/960AG2AAWhjjxkbP7ef5Cqbmfmq0VZQNa5ZdGYb832SWGeCuETJ7j4HMirNcRL5odPB4Hg+XGGKWrcg8rgwjjQMAiVmujanxNj5ww+UHuxlrGpP7+TesGzqOgaBD+njRyPfwmeXz7MKGsdwhPQD6mItxYh0DM04weOiHoBuOtTTLJoj1Wh+vqdi3hTQilK1M6fPAVIpwAFjp5armbaO34d+6p5TGrlUyjMCRfRDOGvOaa87CUlcsJm/+teESOiTsZ3jRMHzNsn4vymdEM8vaicg0lrmlWXZxV38zTm3uGL6phISTjphaf6OvikgZ5fkjG4H6CDh6dAQttowpulRcLYzlSN+3YybXW/0To3bgQVzNcm1jOV7mtMFPAWgHzxYZqEhEvBAvAVqywHc/BAAYPPxjEM6KDZg2xkNJSY6651OY3vldbM22odNfh4133IQMZ4RlGF5oUPnClmHEJE3WWA7JMLIM/33vS/Hu9R/Eo4Mp+xniJosQcuE5+KVxACAZywlrGDwaDSPExjGc17rfN5aNoPNvmfwEljGldKEi0L1hkhNg+fN/AtIeB6W/HploArpmi1nORIzbEmaZEm6FizM1ywAE021MrKG6AGCFtIPXY5Bz4jPO3GxcSxPlwYSvWY4by+Kayd5m6oTC2lhyrrJHdgNLwBwLy4Sq0EEPR9FZv02sj3ev/yA+1b0IPxlsLJpARH/jiBw3C8SiCaw0JtDqLWMdXS4e4sZZpt49wyL1/YMAQhVBwQr1MlD9t+AgyMDx62Nfr3xECwNwOe9z3wnOdPojbIDcYZbNUir1el8Y2tN0Eefs/Cwmlu/D6c1JjJMVQbqYm0Sjnis7P0SrRwGcaRvLJA/rol3NstHNtXxIvPgTXIftc12vCioKAai3GUnDQCDJMBLWLOpm8JNHs6aeWJU1mOV1dAWEaxkGg5y4bZ0w7y7gRP5QcI0Pa6M1syzrCBm4Um/ZAFOM4JZsFpt+8k9oGCHpurzpOE3Zda2nYuKeJesDbUlYU/CiYcSn7E3dB8RGTGarJFmQWaaEgRcJEELM8r5IGH57/Avetaw7DwB4XvN2FWdZOGShaBsQM2dDmk8Kjj7toMsbmJTMsjSWebX0qPban4yEA4+siSbJi4hA5mlIOTgXJqKUzJWhTbQMg3HoPqQr08/luTCWCcUY6eLd6z+Ik1Z+7Pm6DBqjAESUo4yLsbWOLCMjHI/ltlMoNQztF43ehit2/p0w3o3nNonPLIvTRG6FtmtkeqzKDYUcV8usiX6IDyXqH7W5NDcjrnGcNo0CyVhOWLOIyzDsiWyJCz1WyFg2meUHByKWJlPGsjh6Uzt2o+zL2WeCxnpQ32Uwy3KSlUflDw42qGL9YqG/oH0v6LLQQN8w+Wls2PU9S1rSR2ZNpA1H0iGNpd00GctrHX6kE5NZtnHF7IcLzbI8xdAyDJORJiazHNAslxnkw4JwhokHBdvXhQ5TJ/wBiqNg7n8XCbdvA4WMBARzbASTRDLLDBxmxjJ3xQ++DEJqSZNW8yAga6IBaSz7hmAMwrE1x0ggVJrEaY3t2DbyXRELXyWE4oaUR9elXrEcAy6YZZll9cyV7yt9sRyfuTSWaVdlxpzORKSlx/Ipq375TeQ4peBY+KvfRP/ub6kyTYSYZV48NyC9CCCPpNMUHHlhLNfZXKZxACAZywlrGLEF1s16JrPxiYQhjrOQYQBz2KHjeHF8JidEwmxjO/b8kxo7sJnqhCPE0CwDzJJhfH3ldFVOTlxPbz2AM3/8/ugTqOP8EZNh7MZU8HrCGgIPSYqKjwJm35bln2FbEa+Yk0zJeSwPekOzHHLwyyPypmFBwHA67sXkg18FAKzw1tAOfrFoApxQ7GGjHrMsJVTuJmOYb6QzjSYr4YDDZJZL2E4XDARtvhLd4JzTfBC/s+6LuGLkDmSEKxkGN5jledYRfisPfk/dJ5llEzmhcDP4DZpjAIAx0kVWpMjenO0FAGz3jGXRwVy/FbbzHvW6SXI082XnS+bCide4ZDLLqv6iUVFjWatbgqdI7m+dxoFA0iwnrFnwyF7PZZYXmdDuUiIkDgNkepYzjtMIirBaxYd5oVnWIeC0sbybTCO2BL9+3c1eS2PMct+IWDAwvk9rMB81gpsktxz8XPbto4sXIiMM3bE0vNcKXnLpScHrHrNsaZZ9POuJj+vPCUGeBxz8OANKZBj7i1lugBWGhXi/wpvWCQkhBC8e/TbwSDziSkizPE0XMcAElnkLG6mQeIDz6ElT8TDjdXm71dhKNsKBR9ZCEwMhFbKY5fLbOAg6bCn6+asm/tW+IKNhABgvEk+t8CZ+a/zLII/u1M/lOXKeFTHLBZh1slec3FAxjoQMQ2xEJ8gyBpximRuRJqAd/EIbQUCM8fNb92HD7IL9QT6AdGSVyLK4g97ehTjLLgkl6QibNMvVSKtpwppFjNn1jGWuHd1aZIDTG9txbn8B9+AMS7MsDqcMZlkdWBXGcq6N5QYGpV78Vjs5Vwbt9ENfxWsX7sRf4jIAQN9g9twjsXZINgKZClU8fZmMYoTbi8QDg414IJ/ByV5Q+4RDDb/zknOwZcMotm4cCxcYIhqGCxKJhnF8thOD+4TMpx8IL7g/wq4BYkPYhzYUemiosclB0CQDXNa5E/jandb3MtEIGcvZEnYSwYrrpCTMGKnVv00ZdDz4ZCUccDQEsyylNhJ1HPw6PG4se1DMMrfkeSc3taEMLk4ec9iRj8wQicQoCwBjtIesOIFsEAYG4m3ilFNgQGIEiHGik4kYzckHnoNfgw4/VgkhoIWhLv1kzBa6Zz6JWRZIxnLCmgQhJBhQnXE/McIi66jXLTLAb018GRgAH8IZatJkXBvGMsoGA0ETTC/BBrPc5P36C7KhWR7ffScA4KhMyDTMNMSu4dJE2Fj+tfFvAgvAvf0ZdCePw5lL37UfJzXXkWM4r3m1SiU8GTj/9JnSz0PZGX/+kuOx0s3xve//pPReSvRRrLlgX9C6B7nIoRPULIbG1WqQmWMHYpOnNMtcO6JyQqKdMMa+AQR9Tg1Dhysnr3Bp83WF4SU1y6WlEp4MkKyJJmF4RvteMOhTj0oHvxplLLCBCFvItS+L39e4SErizMs5Mm0sE5thHiNd5eCXFSxwzFiOnRx2eSOcTIT1AW4HRg0xy3VAi/bnKsRi/OQlbRoF0nyQsCbBnR22RA7qMcvLxlFzyzFAJbM8KCJfCEZDgEFoluX0RJVmmQzFLMPSLAuc1BAMhumt7BourQCrZlULQ3xmQE7OeT6cGZymxEMP7saPcYJ1oy2A2OxpKKY2IQQ500xuCIPAElAqZxgCbozkJhlY0TCUhKKzLtq+GPvGQdBDQzhCAYpZjsEylqv0r4lZPmjgmZirhbFoS3ZK71tNn+VCztYq+tAYdcKsMbHZyzl1ZBhas6zrEm1tk75y8GsgB4e/+aTgaKEfdUaMJgoKMMshB7/QT+WEWVbrXlCzXKO+IxGJWU5YswhNkCxgLJuLf9OVNkhjmWdKsyw1m4xTYSwT6eBXLMzNDpp9x/miBKbDYb89jWZ3Fsc3HhfvS5jlTjGZStbkmyun4lmdu3TTQYIzmXxaXhK/NoTEMB+KCISOK/7kZpzxLm+g4Sy+FrMcYYtZwMjeXzKMRnGcDgjnqRYGlgxjIy1SDnfWAUvzwTqaEWaZg6LPM80sRzbPCkMs+JJZTkbCgYfMcArYcrqqyCSrmrtyYczKPuSREwU5MiiiPqvLhCjjmILj6OwJ1YK2wQg3CAPnxPMBIADeuf5D0e8RDPcGgOd9AA1bhhFw8KsCgf5tJUFT1teTDEMgMcsJaxYhBiwH9dg4c3JxdcDSAB6AghBxaGaHjtNHydLBj7RE0oZQdrFYS3VjxOvxgsUwjWWXHZymIvRQNxOpS3czO4UpR3jDoBwUazLLaSo8dOGlMjdEBOYn5gL7R3t/Ab83e61glmUfiPyRQ4bx/mKWTRlGlzfQQt9KY3wcLfSh1HcylAhplgEAhKDPG2gQoQqtMpbrxd5A0Tb5iDQyDjRYZkgvQkk5IoglqPr3bthxVjxs4GmWrTpVLGZqWZMM1EpN/abJzxrMsunXkhdnlXbbQtlbzbpd2YeCZJaNgR9mliv6LdFSxdDJki/DKK/uSEFilhPWLHRaas08MFClPbu3P4OHczvWsMdUcb3DltOa6SQkpRkAQIqQQKTZAUfYUz/cUOM40Qk/Zxo5WWZPkvJYcIWOoZMveJOoGavWvQ4kzfJhATcxgfybO380GS+ZQ8d1nSBQMowYKxJyrMvrpkmvwDPa92ABxwIQkQbGaFelMW6SAU6nIq0wBn6WMYkXj343eF3IMMR4EGO6glkeApylOMsHC5yaOuV9l2H0Y5IGCGOY87hviMksM6Mtp/R/hpUvP+BUFmGW4W8+pVY/2CaQKLOMvA9kttwoGDouXLH1uWSW80A0jJTuOozELCesSRBiTaXqVV4YuADwxZVz8NGli0AMvZnHIjBbu0XA1JE1K6JhqNBxkoWmJUlOQrAyQjnGcklQeOnksZKJSAnupM5BQHnIYBft37mnvlRE35VwKMFjlg1D1lw0e8pY1tcoIUqGEdYxkqAMY9jQcR9ZfAa+sXKad/3KkR+p9q/wZiHDEO+n6DJaJEefU2CwMtTzZNulIdQsUgOXbfosY6Bi8U+a5YMH0tDGsinDqBM6LoRejKUF1NwfnccLZjkoS/I2eKLTdIy6Yg5+Mv5yCBwEeWRN4PnAO02koR1dVbc1NMs6GoYZecQunmQYAslYTliT4JwHF/olPoJG4Y0sJ5V143boOLuigj3gGSg4MmjvZ6lZllOFZIXv2iEW905JtijnIeoVcYzbATK1OLsT/s917gAArNDR4nm2hzRD2KOaDEmJHTVdZJ8aiR+HJxwcuKnbYxn8Qpn4TBlGqEeEjojdZ9TBoBBcuHgiHzdkGE20iDaWJXazcZBB3XGkIYxlMU5bZKDio9/aPQX/3j0JNy2fO3SdZu1AMpYPBjZM65jbtrFc/rdw+/8SRASkFdYKFRdQMoyILp7ptSEW098o7V1pkEKG4UhENtG4scxAMCARZpn1C7mRxmoMWQIdDUPJMJxq3vGaS9BqVsdgPpKQZBgJaxYhJmkHX48teML63DQIXGPZ1Cx30MMIuirUnEx3LR38aGFYy0QOwfA+AWQGm2xmDAREtjTplOgaLhO0CJZfMMvu8zgnyAJHiCaTXge/dPkpOPeUDThxSzw5RMJBgiPDYKAqA5fNLPsbHWI4+AWZZeKzXkDY6a8MOaceG70jX4c2GVia5SZhngZ5DxvDpsETQ0uBOBHRMADgVeNfAbjwNeihiRsXn+2VH8bw1czykI1K2Hc0tHE7TASTXcyeu75CLsHXdm/GRa27o/e8+S++iVMmlnFc9kS4gNQsRxypTbhZYwFBZITiLLvptU3wSs2yvU6EmlVJLBMCAu3YHrpn09QITjtmCj+6b3faNBZIzHLCmkVooX+MT6vXckdvGcuWZplbmmWpEV4okphIY1lCMssrQxrLDdNY9hy2qJEEJYxlKoxl1zkxKsMY0lhuNijOOWnDUPckHBh8e+IK/KS/Rb3PZSxhbvfrruI9bBmGTHcdPmygkfCLwy2OOajHnvV4A02YxnJ4zMyyMZC8V/uJd/U3F6+IilF+TGMWhA1qa5Yrj/RlpINkJBx4ZOHTrSoHzcfzCes9B8EKb5WekjQIw69kX4hXajHLlZ3Gu5QRHtQsT9K4PI6DII8wyzyvySzX6LcqzrJiln0DXI+DyuqOCCRjOWHNggeMzJ1sfennxzY0izBKepj6wT8AEMyyPI5b4B11v3UUuGpjOV4uh2blYhPyChEyibbLLIMoGcZt/RN1O9PsdthgT3MG/3v+SvVehI4Tf19T794zHPwkTGY5hBizPGzouJy74goZyk7XLseUy6rNMtG3Y/GUXQyMseI6b+0vB7+zT9yAi8/ajF+58tT9Ul9CfZiaZet6xZ92NwtnwCzrE5lBnPRCh+yWZrnKwTA8zjj3pU6TJcwyA5DHDvz73eJZ+8osG3GWpYNfoFyKCmMjGcsJaxLCwc8fxEtGel0zbbXEhe171evTm4+q12ZCkAUpw+DEyNCkJ5hhZRhlxjJAkHPfqDexkE1Yz5Xg0BKPXfmkuk5XkQI14dCEa+syg2Mzj2tDiQyooVkeg89mCQe/kAzDvvb9o15a2kYOoqRKuj1NNJErzfWjuTjxOSbbrcrknKqxVhfS+UlEDfCjw8Rge/uXo9mg+K1tZ2Hj5MhQbUvYD6BhQ7GK5d9wzAl2ecjkN/G5MDP6bChTpIhrXMRZrjitC8kwAAQd/Mbd5CdWeRrVLPNB15NhhBz8KiPHGSRQWPJROLiXSLiORKRVNWFNgnMeYcX04A9plk1sG/meem3Gm1xUMgyqMo4BOoPfXiaZ3nrRMBqx0EQF9IQebueuxtH4yPIl+OjSM6zrQoYh6u4bEywr8wBPWFsIaJaFXtkOlaaNZZN1ImDF/R0EFmgSlmG4BkZV9msZNcZEFw1QotO8by/C2Z3S3KHKLKOtTmnqwmSW3Q1C3Qx+CYcwWM1wnA5ectXTcP+z/yu+1T0ZgHYOLJNhmMyyfzYCoHA8FexrVQ8qMZaHSB/PQMBIZP4e9ISxzM0xXq9ek/kWzLKUH4ZCxxX3FLckOZJAMpYT1ixCgejDobXCg31DtqheB5llV4ZRMMvzvIPFMi9rBy6z7E7gZZrlm1eeCg7g1u5pWOb2M4UMQ7TJZNlYhJ2R2LJhtGbLEw423D7BI+pNGZvVlWG4MI3TEOsFhAwMQxsdYLB5wFiWhuxZ7KfqviVmG8bLaGOHcSJSB3p8Ey/sYmlYcTt23FDPTDhwoBMbg9er82wQ8PaEOnlQyW9K+kRVUilehIfLQcGrhe7hywiz27N5eA7mnGBA/LXlgYmnAQBI3nXG+Or6Mi1Ld+1oltNwEUjGcsKaRWihNxnikGY5BvM4atFw8DMTj0hmmXMy1CLvMssrsI+eWcARUeLH/WPBOBRDaN1nOPgNDCOGVxjL//U3LsR73/Cceo1POKgIrcGhBbKHUDQMXe7zEy/H/5m/zNr8xYxlPymJLnPT8rl46+wvWp+ygAEvjepjsF096+8WL7XKrKCNh/KN6K8/2WtDDHKcirY7DHhdB7/aT0s40CDtMcxf8Vb/eoXFJtQIuj8TxSz7Jo7smxlhKivqV5afAgB4PDeypBrMcnXfijPLoXtnIxprBoK+Yyy/Y+82zDaFYysddL1Y6i6qfitC9O+j013H60maZYFkLCccUnj+hcdivGa8X20M68FsMsRVMgwT8jhKhnKT95laNplQhINgJ6sOsyYnZc9YJm3rfZmujlMK7qQ4VZ9xIOM+s1xlLLeaGUY7Kaby4YRQ1i9TzrirfRzu6B9rxeXmNWUYpnkpMufZz2I8ziyb990/mAm2mbfqa4PlOGVEOw2az4ghLfdrCFkoZnj5LZQQEKIJFDOtuoul4oSuUYR2+273BHxy+Xy8Z+75+LO5F3rlBzUc/MqY5VB0GbfvSjAQ5E769+35tBpPZNCtJH8qHfxMkqVk7fnNF52JKy44BqccPdzpz+GKZCwnHFK49udOxf96fTXraWfw0+ibMowSxtZFrgxkfX/OiWVwyGgYDATzrHqBlxNcw8naN3BYwJAjogRHZqWtfvPsL2FP8WwRrcPOxAQAhCbN8uECXnaObCDGLG9Y1ylei2uZ5YgXcfDzKjI+48Rjnjn8kIieMyonAQdV2e/r99fc2Mgu8xZev/sVeHQwZdUXBIm8TjjkQAMRMarZUnG6oY3luGZ5uZDQZSRHBoYBRGi4uwdHeU6jgPCDqZRhlDHLgTG2wNqB0qK8zBBrQq4lWW+uej0zPn7e07b6zTM0y3I8nXK0Jn/kb71xcgS/csVp4SyBRyCSsZywZiEnwq8Onqau2Q5+8kiu2uDQi7CGOylJZzoGYjHYMUgWrIlyzXLo2aoNNLPCfy3yDp4oYopyEDw2fiYAYA/XcUbT5Hb4QNrK71p6MT60cAmAsK0XMpYpAX7/Fefjhl89Ty2AA0vTHzMw45plFkiaENJR+8yy/ywZYaAq0oAJNe6MwVK22ZRII2INoeEbi1V/P0oJQHRCHTnnh4xlKbPLIBxQzbnclyDJa9XRMELxkWNSp0fy9d41QGxGXc1yp5VhrifqyPpLGKnIHGs+bduzTgx+Ln+fAc/w3667EL965enB+xM0krGcsCbBOQcHxU2n/j6+ys5T13PYxoD7KlqfDJdj3O8eR8vse6GwVSHI42rXWHYX9TLNMifUi5UrvyMDwT3rn4M37b4Wi8axXpY0ZocddvL1+FaviPsb+PMOiDSW7WgYk+NtnHbslGKWZcIdWTa0kHujxWSWA/eEHPy6qI5UoZjlGsaykkmpMWmO7vq+CUAyBg51kFXIMIQOl3jMcojVnStO5jLkaJDckiKEHN4YSC1mORTFgvPwGIudTAoZhm0sHzMzju179elkZcjSGppliRwEx22eQLORTMEqpF8oYW2DwFr9BoFoGHUWR+78D/ishGKWue+JH4IssxW7nGc5xrJ6HzKWbRkGoDVwPd4AoRRdtJwMTMkcOFwQ8kgPxcOoioYhHYHsuMbh8Is+TGZZDDhznDHY8cgBn1kOG+XEb2gAH1q4BDtzcUysQscNyyynMbFmEDaWqxz8hGb57oFwhNtOxP9uv/vQwiX44so5AEQinAzMYpbj0WEqDFDWD5YRJyq+mTVAhtu6xwef5RvLY3jCyGNSlcDHUhwR3Q6zRL8xVlzXbfvk6MvwtwvPSbvJCJKxnLC2wW2PYHPBrCvDeOLYyxQDYTHLDishnSI4UItZDgd8DxnLWoZBRqfssiTzmGV51NjlTej8I5Y1lXCYQP7lTWkNIT6L6urgRTn7HgDWCYSov4YMw9Esi+eJjvfg1AW4bzDj1RLTJ9vXfD+BEO4ZbFaMnzZs9C9Qx1g2kQznQxs0cNJQKcMoNMs/6R+N7Ze/HQ/gGAC+8XvfYAZ7C1a3ASZkGFb/C2/q5Bry1ZUz8DDZ6j+fDYKrTOgkBhC+NX+7eClumL3WLs8JcmrrmbduHLM2n82KuP0mgqObAD95ymvxgfnnWtcfaxyN23onpuUjgmQsJ6xJhAwBF3WN5bkNZwWPct1JTjv4UYuN+Hb3pGC9MfaZgeAde7fhT/ZebT2Hc4Kxl/8hPtJ+uf4OVDPLxLgfKJjlgHwkTXaHDySDWvU3zYsj4J6hd7ScUxWz7ERiqZUwwdYsA1rbedfmq8BBfRlGjYQh8mi7SoaRgyqDRm5AzYxpeqNbxiyXPiLhEMJqNjOEQP2RWVOHZXP7XR+ZisU8k82BElT6nzCu49nn3I65fMvI88Tz2QAxQzs0xkQ/tk9ogIJZzuwxOtJuWOMpI+XrmfW0yG85GFmPH/R9ZrvsniMd5TGmEhLWAMJpGrThW2UsM6NsiJmWoEboOMks72Uj+Hb3JCuNtoQblqfLG2iTATgIthfpf812chCQ9hi6nY2QCdcEsyyO3Qgh4Jyr8F9dNNAKHLOlue7wgcy8Fdsc5pwgIxwraOPfOs/GvdlJwBNFOerfc99gBue37zfqr6FZDowJabRmxdGGmwHNk2EUH98/2IgTGo+LazWZ5ZzrzalywOLDMctpSKwdBOevij8gpXoVKCM8+ryh5uXndETCnLLwaaI+HXUoB1Une5xD6ZQpHzhrBwWBSE0tr8uxKtqRBZ/NQMAzW4ZBCQkmA5K47oVn4LjN2sE79Fu50owsOYEPjcQsJ6xJmCG1zMnV0jLyesxyr69TB5uTa0yzzKHZiKyYEENgDmsgDQgvKoBkHor/OmYMZEqR51y+BKA1az1aDvJ0AAAgAElEQVTe0BIUa4VJE+HhAsUsRzTLKpIKofhB+wLsIVrGQy0DW7z+evcM/KB3nLpeV7Msy+Vq4afyIUUJx1iOOPi9Z+4q3NXfrOqVbS/DALQwUswj7ZCDX10ZRq1iCQcJq4nmIzXLAMSgkSSCw+r2kXmO25Jp3jwdd7qTDoOmA6CQWBTGMrOlESwTcziHHmNmLHSdXMcxljkBN+Is3zB7LQgFumiiN3ZUsH3PeepWHH+UNpbN+SG0gSAgpb9xGh5hJGM5YW2DOMYyzNf1jOWVvi2FkHCNXRkNg4EqZoCWOEm5ntW5WtR9NsFsb7ttMAskQ841Rw5AM8u8acxsaYo7LMF9ZhkEuObZJ+Kip2w2jFYKNzGC2SPk2khA8LO+XnRrGcsEKquYHB+yb1Nqh+pS9TpGislIy9Bd3DD0y5AXsidL/zkks5zGx9oBIQTvnbsSf7zwEn2t8h79upxZFjGVc6N/DlRfjp9QUi4z3lFjc0bBiZQFDSx5Biuc9MzQcaYsr0yil2V6PCzzVrHpJXjs3OuC97io5E1IOPNfaGOeoJGM5YS1De5q3HzGSR4RDyKqo5U+C7JTUWaZawe/jLCoKe6HiAvHU3afPTKiNWuUUq1ZLqprFCm4e7yhvrtpcBCCWoldEg59KAc/ZwFbN9rCf/qFs/APi8/CI4Np9CGNWV2GBJhlkcxHa3fKQroZNaEHnQIegGJ6pQzDXWAfZxPYlWu2yzqilqES62qWecEsW/rP4ZhlZ6+RcAiDEOCuwRbszCftiyWglOi50LhunRRyvckziQx5Shg3lqnWLBf9UNatZBjMlmH0i5jLnGue1zSQY87fjAvW997+DL7ZfKaoW2qxA8lKqhBTtCQZxvBIxnLCmkTIEIhDTJ8/HTsPt/eO9T5d7ulQPGUyjCyQlKRchqGv39471ppk7dbZk/xI23bSUjIM4jLLDWVEmW0gQO2U4QmHNjTb4x+tAsCP+sfhf8xtAwgtwlRpWAaiMpZdA8JfAu7ub8Z91Hb+6RULtbxXMGzaiHeTOTAQfHZZJwsKnfhoRrhahiEZPXWEbjLLNRz8bCRD4VCGnOfqZq8EnL8oN18aBiwaqqQpxZDMciw+PeNGRkCLWSaaWXYc/GaXdFMahaFtRlAqY5YpJXj3/Avx3YbIHyAN20Eg6UkIobXR3USHNgaJUS5HMpYT1jwo0V7+ofir+oiYBA3blT4zUmNrxIxg08GPlhjL5vVPL50XNQ50OfF/p60nRUqICh2nmWXt4KcnxkSdHY4IGgyBvy+lBJzb5d1wc+J/YvX1YMp4ZPhMa5vxPKpkGMxg5hiIciL82NKF2DumDWw3za/t/CT/L5LrVDDLvMgaaI8zU4YRz4CZsPYg+6oZX75ahqE1yzzQN4C4gSqJDxJllomWYcA2lmMOfnJ9YCDYxSbw7e5J+NsFHaotFoFDnNbYBq5sF6P7jwAJyTAkUmjFMJKxnLAm4RoR79j7C3jn3p+3yxT/yzBTsdSjSz0WvB7K5gSICVBplkmZUa0xAI0u6u0iI1Mwpi4lRjQMcU0yFUKGUbQpTXCHNSxnvUB/Cx1Bm4selZIkWn56Ip/g6j56pFPUI56QFwybXNgXeQcPHP1Cqw6GmLFsyzDq7O5yLmQfWkIyZDQMEn6dcOiBwO/LMWx75gnefeaN5umebSz7/ScmTXCjYXDjvpixnCvJHQEHxT8sPhuPGhGQYnH6OTTrK7u4kmGswlyL9fUQs1w3TOWRimQsJ6xtEDGZzPMRPJxvKHXwYw7bJbHcY2r3brFh3Jz87MXenHhjp4Xm5JbzzDgutofdg4MNAID78i2ivUYTM0qMOMuuDKNpLCzlxlTC2kQwGkbgEEGtfUZfpIF7LM0y4tKFzHmgZJY7pAcAium1Fl0aOzEJ60gVs1xjGZplY5jjI5ZS2X1Oeei4NCbWCkIGXuyv95JLT8IHbrjcKsSN8mb/Ng1Us75m4QMijdLHzn8tsq1nqs+ZwSznERmGGw0jRrSYdcauy7HHuB0Fqa4spY4+P7QxGOTiOzZS6usg0q+SsLbBnck1oFezZRg+lvsMzUY8MxhgZyRjnFgOGnWY5dxg2tzyn1o6H2/afS0e4TNFKw1GkBAMVOg4cV3KMPo88xy/igoSDhOonhuhiGSfkDG47ZCKvnaREjiMb3gJoI6l3S+yio0UpyCS6bUYb2qzZbZBELKASKBcGF9aORt/svdqyznRfU5pPWlMrBkEJQI1/n5qv2itARr9SKziVpERT3b57vQpyDbpRFMcBPeMC/39T/tbrP4mnVMJZ+CE4OblczDPOjU2cCUstiJubF8Vxmoay8F39r0hZrnXF+tKu1mdnfZIRDKWE9YkYg5+pl6NO3GWzQDxJpZ6DI1GpspImIuvGTfWZZbLWAKJ3Ijv6YUzQgNdaKc+c62gBFjpCeaj1RT3y9BbfWQGZZgy+B2WUKHj9KWYEQyUOfgV/zvyiFgGP3cx3dU4GgDwBBsHoLWblmFTGMvdSDxx9ZUcZrnPqnssA0UPzeC2V43zElsijYm1A7paq0T9kc1TB0OzbDHLuswONlk8VzK6sOZTDoLZ1tF4/e5XYC8fswxhYhjLAMHnlp+O39/zS2pc1Y39bT7L1Sxrh8ealdTIbhsiWXoDsc4kYzmMlMEvYc0jNh25CytDRLPczdEYy1DI0hRsZtk2lm1mOQzmyDjqxYO1mRVKiTqOk5PYX8z/HM5sPoplbqZFTebA4QgZp8XWLGuo+MmBBdXqR0Y0DG6EX4vKMKzVlOC+kTPxjUcaeCwXSU+kdtMsJ7OT7WUjRdsrjOWiTQMWLIYez9Ai9qAs0ywTHqnIQdIsH9oInaLUkdEoSVrg1AEIO/h9fPEC3DfYBMDcIHLPWDYfb0Zz4Sopjx1CVLPP1bibnIBT+P0AhD+Kp1lWRjzHoDmO+5dGS+uTTS3r51lgR9LtJ2O5DIlZTljzsCbXgAzjdno26PRW3NM+K2iodvuwAsFLmGG1LBkGjBBWqGbQAKHxrM02RFhEOYnNsnHc0j3NKkoI8PBgGjcuPDOZzYcRTt66DgCwbiwcY5WoxRpeNIwQs8w4olEqTLiaRkKIMpSBQoYBatoUYE2xiH995QxRd4S1lqfJkvWLGcvvmrsab9r9y9Y1HoizrDehceotlgEx4dBDyMhrt6oNOB0NQ8MkLL5W9EtAEyjypAQw5A5cVxbqUTbpIZnlPHgqGRsDJj6RXY32s18BAGiRgcEs2/I7xjl+dtEf4D3zLyivkOjvo34T54uUyzCSWRhCYpYT1iRiRoEJOWHNkwmMvfz/w/LHfxg8dmZeYpPiGRFmORYnuex+08CuMpZdBz+J4I6f6P/eOSfCfZ2WqLPDBr/43JPxrLO34Cu3PYI7H5j1PqfOoh6LhkGIXnD1Yh9nf13NsltKOPjZ7DVrr8Pv7v4VddxdrdcU/8dkGH2eoYtYuCzfwY+WGMvp5GXtwCUI3vLr52N8pAm/94fx+J5lPLxrEYDdB2/v69CG8qp5QkhNLZOUVwTq54ajtpZh5FbpmGb5/8xfjvV03qkPIC2x0WwbxjJzNMucl28IXVBKohvDkIOfZJZbNTYmRyKSsZyw5mEu7HY0DB+hBXzACTj1w7rFHPxkHf938WI8NNhQy1gGiPKQrnJocmUYEq2AsezzbMksOJzQyCiO2TRuXTP3QmedMI3v/HQXMlpwZRXRMDjjVpjBqLHs5Mx191+zbAx72ai16FJCisQP5XVLSOeofh75vOwa943lMhmG83USDmGYf55mw+//0fuKG//xS3epa1V9cGCcHlrJUEp8QJQhzA0HP8Qivth339E/JtAKDtISoRlbZBCQYRR1cl5LtyyfaEm3nC8R4lP6xRFPJ8kwgkh8e8KahBVDNsKkuhMVD1wDCmY5dD3GLBfMwq3d00S4umjoOLvOAa/HLJswv1voKNKdWBMOU5Dwm1dvewr+8NUXodPKAM4t5inMLJu6X69iBYt5Iv7Jy83L5+LP5l7oxAS364gbKtrhFgB6EWa5LBW36aDFuH8tYe2CBE4yat1XMYfbZYt44YYJpOQPgN2ZnSp0nGUYscKdk8RAkqsYOAcgmWX0lZ5Yxd03/RHqGMvS6Zf6bZcoS3edNMthJGM5Yc3DHPe20ejPcsHkI5wYSR3CrJvr4GdXW2+xl0d+VTq2GCMQ0pIpPRvjRixdu8wfv+aS0uclrC2Yf99mI8OWDWPqfdzBT34ed+p7//zleP+8iFlLHQc/t0+xIqteyIlQtSXKWhefF+X7g7AFUPdkSGfqtJnlU4+ZDNabiOVDH2Z69n1BLNqLhJlJjxhaYTu9PLE6o3be0zIMWVKiTuxvXRYgTeEUazHLzJVh2JvhKpgijDqaZYkkwwgjGcsJax72wDcZJ7tcbGOew2YI9P36Wg+2g59db8RYdiZqmdWp6miQEGCedbB9MFUpwzAnUpdZke9mpkZKn5dw6KOOioCjzMFPvMkZj27Wdubr8OPimJhSI3JMCdPnyjBMxA0VmWlFjIdeVIYRZ5ZD0TDc0X3eaTPqdcrgt7YgpQfD/KlCf9fY3CyvmpplK2SbKcPwOBdtLJtx7myipf4pIue2DMPTLBuESJ0TRPO+WF9PzPLwSJrlhDWJWPIFOyB9yWJrgHEdLzM04QHAiqVZdu6PTIg9J6XpoPYESvD7e34JAHDhVlG2kVE7q1oB04ObENE4+Xu89/pLa2d9Sji0YZmrge4jMvPZiymJnFDE+p/ZjzNK0CUdjPDl+ENhb1RdtqrKUJHjazhjWdYR0izbfd1jBxPWDIiezPapnvhcK/qKrVk2PqF1jGUCm03WqJUoB2L+Nh38moRFQ8fVncoVI03t9rnPjaGVMvgFkX6VhDWP2JGSJ5eIHkGT4KRs6tlsGYab1tfH7b1j8aXls61rdTXL5teRDIApwTj35A3e50KGYdc70m5gtBOLJpCwVlFm+LEKZhnwF/BFJsLSmf2SEoIuLU4kCA1nikQFs1yhF9XMckSGUXqEHoqGYcswHCVJ7E3CIQidRGeYe+ISHReyb4SiYQgHv/hZjuxvOacAMQgRc4xJzXKFgUtp0ZObHXVNjykpw5B11mOWc6bviyYlKWGWY9lCj3QkYzlhTWIYB79QVj+/Pn8omKxDL+Dg5z7HxCeWLrCkG4DI4gfUkWEQ73WnlRmsmlGWyjbwqEGTcBigpg6jSrMM+LKFBV4cARdpfwGxmPaIuE5ZP/pMaxw6Q6hqUyg/f+SJ5cjnPuQ47EIn5MkjDn5lBkHCoY3VGGyhO1YXDQOlMgwp7xPprk1m2d+QVhIjlACcq1TxDww2qHY8Mdf12lVHszwx2gIlBC9/3inRMmUyjIQwkrGcsOYRG/dlAeU9BCZnk3Xolsgw6sg9CLQMo2oCNz+WBoipVw5tFBgzvKDTPHhYI3g2QlDIMOozy7Lo3y48F9/rHo9dbJ0qk1HNLLfypajxsjpmWUAaGiyyDIXG1d2DzfjY4gX4UvZcdU1uQt2BacswzOvBxyUcQlDdaihq2b9U6eAXioZRM3Sc6+Bn9te6Dn4ZJWoczl/xX/G+uSuRZfY9FuNdg1luNij+6vcuwyVnHxUtkzaSwyNplhPWPKw4yyWaZc7jk1coXXAeY5ZdGUYo0YlrLBOi6htGhkENZlnXpT83nUHk63SMdvihrrEXY5YtzTK3LZFH82n83aI2PgHRrx5snYJje/dgpTUFEiZ/ndBx1Scu4qkqKBaAsrTY4bu/2n0KjkMLQA8A8KXls3DusR184+5T7ZKRzULCoQ8pNdpXGUbVXBuMhiEqMxsTrDOPyPeAIZjlwtcAAAZjG9HFfd6m08zgJ8fExWdtxmVPP7q0bvNrbJjs4AXPOA7f+elOq04Tf/AfL8CehW5lnUcqkrGcsCZhMmh2UhJfy2jdF2WWAzIMg1le5jrdsM8s+3AZDUKM0HFRg13+bx5ti9fNjKoHhZhlEe6Iep8nHCaocxjBXc2yyayGjovjNBWlBPd0zsbnH1qHF4xuBVkJW8tloeNirJ40lmVCh5g0qszQMDcFPdLCPcddg+5dd8H8TmVOTAmHNkJzYeU9gWuxUwsJKxpGYC4V9YZPTJiRlASIRcMoh8ksy/9DqebF8/S1lz33ZKxf10EVMkrxOy85GydtncT0RBvPKwzs0Ng4ccs671qCxj7JMD796U/j6quvxvOf/3zceOON3ud33nknXvrSl+Kqq67CW97yFgwGg0AtCQn7Bmvg8+BLhWoZhv7c1LMtGcZyndBxngzDYJZjkJOleaf8blkWPhaUbAhj+npofZmeaPsXE9YoAn9gQorQcdYlhbBmOQ65YM/zERDUC0HlklWVUV+Ib1Dc1d9s3B+HtSkACcagjbU52dCHPlYjEwj9XWN9/Zsrp3qfW1EnykLHccksU6ucJcNQSUkqZBgZVWPWDRWnyhhxl1cT3ej80zd583/SLA+PVRvLO3bswLve9S784z/+Iz7xiU/gn/7pn3D33XdbZd74xjfirW99K26++WZwzvHhD394nxuckACE2ddAKesd53H3iBCDYerZbGY5zDQAmk1zJ2lKdHQNM3lCKCtf6Ls1MqqMgZgMQ14PsQZ/9FsX433XX+pdT1gbMNmtmLF376NzeGJuRb23ZRji9VinYegp46CEWMMnNsJioeNe8IzjsHn9aPAexWs7G9TZzjF43/yVqlxdZllW4yVeSFbxmsX+SkoS6+MfWboYv7v7V4CosWyPN/vEUoCVGMusxhgD5PwtSrGCOnYNWSsahmrTvv0wSbM8PFZtLN9yyy24+OKLMTU1hdHRUVx11VW46aab1OePPPIIVlZW8LSnPQ0A8NKXvtT6PCFhf8HK4FdRlsXYXeJPbqaebZmbkS1cZlmjF4l4QYhO8kC5NpaPMgwKffSo71PMsqkNjRx9ly0wrWaGkXZSXa1VtJpxhyMA6AaCFYcScVxwxiZceGbc8UfCXUzrOPhZsg9ane7aZZYZycBB1XFzubFsOzIyNwMRSpjlFDrukMdqbMFhNMscBH1HharTXdsOfgBxTiy1DMNsaCjOcmW2VqoV/JJZ9llf0WPrpruug2QsD49Vr547d+7EzIzOkLRp0ybcfvvt0c9nZmawY8eOoZ6xYcP4apu3z5iZmThoz06oxtiYOFYaHW2hG4nTKtFoZJiZmUCz1YjONe22H4/Y1LOZhrMLc0L+WX8Lzm09pBjmn/WPwjzrgFLNOjeIboUZ5YJSgpmZCUzt0ezg2JhgtMdGWxgZEa87Ruzk6WltbDcKqUan00z918Fa/z02GXPh5NSo931MmY7ExERHlVs3IfSN7XYTR2+cBB4tf966iQ7ae5aLetpY6IYldBs36natN/ri2GhbhHJh/j1ytDSaYvmR40caCSu8iVHSB63QVKvXhHjZOgFgclK3x/y9Ns5MpGPoQxxyLssyqv52j7VEf4mN5X44Tgy2j50BevqzgS/1Sp85Xqwp4+MdrFs3BjkLU0rQNubchW4OjAhmeWRUyxuoETuxroNfu5UhX+GYmZnAjiJU3PrpMavMxo3joJSgM9LE+HhbXaujWa6DQ3VuPNTatWpjmTHmZE6zkyJUfV4HTzyxEGQMnmzMzExg1675A/7chPpYXBQTy9JSD72evZAvrTseo3MPqPeDQY5du+bR6w3U5PXV/jl4bvOHqky/XzgdBY7SxOv4IYx5zwcX/v/2zj3KjqrO999d55x+59npRxLygAgEAglIAgQwAXRIQhLBgKNBzQgqCy8ThFkL5TFXxhkVYXDQkTuuexWZdbkul4+5Y64MZOlCWVcMMwJXBxxfjPImQOdB0kl3us+j7h916rVr76p9Tp9Hnzrfz1rap6p27b1D7dr1q1999+/3DgxlDmECjmH730YvAQB0dQAlLyiyb0EUCv7vUsnGyMgoDh/yF1MdO5b3/g1j485kH/z3jh72y7retsnJAsdvgDTcz3bR9xwfPjQe+fdM5qPG7PjYpFfOvV/GxycxlsuXK9W3Nz4+iYmygXzkyAQmjqmN5bcOjnm/DwXG7fj4JCbytibOnfOnUCiGulEqOdsPHFmPP+n+lfQ1J0y+ELbCVc+Jo0f8l87gf699+0Yp0ZjmuHNZqWh71y4/WUCuI6u9lw8ExmKQPXMvx4mdswD8JrZNd64dHT2GwyIQFcK2MVE+5mz6nuXxcf++LAaGpKkMwy7ZKBZLGBkZ9fp/+HB4Me3+/UcgBHD06CS6ymHlDuw/guJEPlJfNUzHubEZc7ZliVgHbdXG8vDwMJ566ilve2RkBIODg6HjIyMj3va+fftCxwmpFfKD75XTP4pv/8vT8SfJMVmVnia14RypKvCpLY8sXin2R8o4ureyTCLgbpMTObhl5d/Z0Odu/7il2M9oGOmjJyihUVzeksKDaykkEo4c05U/mHluhaZNp97AOdK4K9rq8yxJhuEWcj+4/L6wAL8fXaDtGyDLMERowV9wv7LPsTWT6UAu40b2MT9HV1QIs3qC2uC4E/w4y85JJds5NyTDsN31KQltBmQYtmaBn9OMCGmWuUq18VStWT7vvPPwxBNP4MCBAxgfH8cPf/hDrFvnLyBauHAhOjs78fTTjtGya9eu0HFCakVkbsl2YV8pGgYnHIM5ksGgvF9NrH7SoI8CwonLCUAEw94pJj2VJjmT8WfjoOZSpVnmF+b00d3lG8uqy1tUWMvKOMs2IFRvaDHnQuijYQhVG+XfRYUBryK6dMrgnGBRARQVjfE2aF2C8jRjdC9HhoalZ6Ta/gulfL5AOOFIcDs44kzCMwJOaDc5GobcXcfYL0d8UURMIo2hamN5aGgIN910E3bs2IHLL78cW7ZswcqVK/Gxj30Mzz7rfN6+5557cOedd2Ljxo0YGxvDjh07atZxQlzkyVBnC6hWNPt1JIR1izWWk6cux7PstGEFPMtKf7bCsxwKHUfPctvRm2gsxy9w8z3L8uIlNZFYr0ZjPFhGoKAxll1fmggYHc62OSHPMqKRMKL9Sd5Ppg/ugtaaeZYNRpf7glgs2fjXX/tfxaVhHdYjC7XkomQ4pjPldNeA/3VI7UABCgUbbx4c9/pBGsuUlsdv3boVW7duDe372te+5v1evnw5vve9702lCUISib6JGxi2cpipKbhjTeLWOk1GQ8ep+qr0LFsChWLU8xDyHroTNCfS1BGWYUQvsEqzq/IsO89l9T0QJCPJMEzGVMg4h9qznLGEZyz70TDMvHBBgv9cnQzDwIFOpikd2co9y1pjOe5gAPcZ8PKbo3jz129g1YxovYHRi1J521nPUlKud0m6b1TRMCKRaCBgCYFH/98r4X9TDejI8iYxhbGkSEviangzGQsiH34qR97MbemvgiTPchxmnmXhRcMIrvKXDYzIvvJG1rJQKC/y0sWY9jzLdDukjp4u/WI3QO1ZliNGAI6xLJJtZViW2ShSjVVvv8JaVUWhKBkmcAgie5aLiog4XMTXurhGXEVzmYFUKA7Ps1y0wyHfhG/QBteewBu35c2gDMM7P0mGEcjgV76HI+NWVOYQMuW2D52FuUxWZQxfK0hLctHbF+LSc5dg87lLIhNJnEdJJ8RwdZxxD+yCUBssRppl4UfDsDSeZW9ChmR0QLHgCtH97iRLzXL66O70PW2qy6v0rCrHgVlUopBRG1M8NBalcjdceUa03ozln1Pux8vFftjL34VnF7wnsV8uclKSgkKzTblF6+JpliuylTWyG8Nq3Lm0ZNuhr4Uhz7IIJp4KG89Kz3JCm46xbHvtum3I/a9HXOS3LZxVs/Bz7QCNZdKS5LIZXHnhMnR2ZCIPRd1DMmhOyLZFcNGTblr60cLrkN36aUW9Zno4d5IVGs9y3D7LgtfpsEwjeh6NhPSRsdSadRe1ZlnhWdacL6N7OYsj7FkWmD8vGoYpKMPwddQCYvWfYqJjtmFL0WgYBYVAmi+NrYunWa7gHJNFqHH4xrIkrQudLnzj2AshZ0UKmkrzgi+l7pBWGcbRZ5xR9aSG0FgmLU/Es6ybSVSrgLw61NKGIMcyfcDcxaqzk7roaNOEmWY52P+S4tNcsHuq8GCcSNsPpQxB4R22bTN5grGEQffiBigXEmYyIuJZdn6a+v8cSpJnWfmyQGu5ZfE0yzWYzIJDK7hQVsY1XEslO+QACfbADoRvK0FInuVAOc+zHP/d0bL8hDolhTPE7b88lDmyGw+NZdLyRI1lg5Mkw1lEFhsln1MJQiCQ7jqst1T9dnEnUjmUl0tGsYiLnuV0o7q+Seme3Z+2baOYcXSKvyscp21Dl8Y60oauXwJKY9lZa2AHCkX7asKRcT8hg0A0SQkQfbitWc44/61CdZ5ljQwjsLurI4N1q+bHlnNkGOrQccWSvBxVKLP1FQ1NKyfKUViGEX1+CcW/jXN8o+ECP9LyyFo1ExlGpI6IcRAtbSP8+bcSLCHwUslJ//6z4mlSW1JfAruCgeptxXFqlgkAFJWaZc2n5FwP7njrCuRzM6DMRw1guL+nYgs20pzqq4klIEqq8tUvSxVCoKAIvSF/IfrY1lOxY+PJVbZCGkk10TB0CBEeXbrnQ8izLH25CNVX/uvGWVaFjrMVi7l1bXptuUFiTDzLnOMbDj3LpOWJLvDTGMu23nOskzl4bbh1VNPBcv3jdjf+Zdnt+GPJz06m1CdLngzA+TetXTEMADh1ydzA+QqDiDNpqlFqlhNkGF5M43I0jLdKvSiU1OPkxveuxPz+XrMvKcEXN+nrh8ooyVgW3FR9tuKrSFUIKI1luf1sxkJvQlQRMj1wPcuqhas6tJplaUs31IIRY3QL/Jzt8vi1ZRmGX9JUs2yJYAa/cv2q5w81y02HxjJpeSJJSaqYSfxoGFB/4RJlY7tKa1lYIqQbdVH2NbArqFk+adFsfOOWizE8t9s7nlEYRJxI043qcZ8ow3DHHvz7RaXzBYDe7rBBKYSZISJnOir42gUAACAASURBVFORCYSkk0PNVTtuBfyXhavedWKoTtKauJ7lOI2xjO5yC+FnoHTGmcZhoomGAQjJ01w2lsvb8UlJEjzLGScaxltHJnzNsqpvsrFMGUbDoQyDtDxRz7LBOfK2pdaoeXWWpRnVyzCcNh2DOykaRsBDEfAsq46HZRjlv5xI043i8qpDx0XHjG3bvuGsGcveg9jA2oxLd60iZCwbfBo3QQiBfNmzPCcQN5ZxllsX17Pc191hfpKBZjmmWCiDnw05+kxwnYlrLDtfT1SeZdOslBlLYDJfwl/c9zMcP39Gub2oFzmyWJVDu+HQWCYtT1RTppNhxETDCMRZDs5Lf394A+ZaR8rn+17hs08ZRFdHFv/3318z6qMl3E92YT3czN7owyDYvmrRR0izHNpPzzLxCWd3LGP740TljQb0Gs0kjOI3Z5yXTiAsw5iKzl4IeKHjgi+PuXJii1mKe4xMb9yx1NdtLpvRe5bVdcuEo2Ekt2MD5dx90dBxunj+MsHx+vzeUXV/pWdSuCXSKGgsk5ZHNo5NA7h/4dBWnLV8GDgwoYxJCwB/KAzhDxhCNuP4E9yp7+RFs/HKvqPmfXTjF9mOwexyyZpF6O7MYve/vaQ8z4uGofk3KTP40VpONaZXVzVmbIQf9mYNmrUY9izrx6uooLxRu/AX+AVlScNze7Bz2+k4delc3alkmnL0mBPtpBJjWX9jhPXzumJWwFgu2dF51T+/HL0CFjJCHTousUtlVBktVc6eiAyDU3zDoWaZtDwRGYbJRCJs7C3OweFsv3NOwkluxCs7sAqjErmDJ8MAEEw2lrEE1q9aIJWNl2FYGsOenuU2wfD6KjXLtlkGP+OuhL5yJBskGcvCSHEmACBv9Uh1VdcvIfzQcRlJTnXmSQPo7KhdZAXSGLrKGfwWzOtJKOmjNYKl+0A3zrIZZ+zki6Vw6LjIEkFfs+zM6XoZRtK9mlVoBiPdE6o5nZN8o6FnmbQ80bdunQwjGg3Dlzkk6CclCYXw/s8MYZUXmUiaZW8npF1u/xRJSUIRCFSaZVrLqSRjiXKcV7PrqxvTSS+T1cowQvVqTspYAv97bA2ezS/Coq5hAC9H+lopluV7llVfWkjrsf6MhejpymHNKeaxsU3igQsI7biwhCPdmcyXYjL4Bb/MOFas64W2A95oLwxcBTIMr/7IYj61jpk0FnqWSesje5alCUgKYxk6xfaMUb+MOnScCFVQ6ep9P92wHc4+Fu1+qGLXmA9HvQjUq8jSxok0nbieL9Prq0pZbQd1GAkYfaAJ/g55ltVnZyyBAjL4TX5hxPNd6bDNWAJ/fc3ZzgK/QlSGwZfG1sWyBM45daiia5i0cM8ppB8XQgjkMhbyhWL4WSEETl/mfIGc0ZOLepa9ud3HdIGfajG6SmPNsdx8aCyTlicaOs78XC9cj2ctq+PDyhEE5ED3SVgWyiunFdEwgnGNEL4pVZ5lnb7al2FwYk0jKn1jHKqvESYyDC8mc+Bc/VivzJOri+oiqrCWB2Z347jBPlgCyBeKAKT/RrwN2grtCFXIGnTlclkLk4VSJN31uacO46t/sR4L+nthuaHjynGWPc+ycoFf5b1OSlSl2ib1h8YyaXlkG0L7Fh4wUr0Yme4CuuB+lWdZuBn8ytuobMLyJkA7HOZLZXKHQsd5xnzguKYNb002J9JUks24L0Nm5cO2sm8AVxp5Iq64bpGero+6LyTV4N5FlhDIFxQhFqdYP2k1YqzgQAnd2BRClGUYRZRsOXQc0NmRQdG2Q6HjgKBnOfSdpfz/CTIMzbMmUk4qyDjLjYfGMkkdJp5Vt4TvufUnNZWxLSDCMZKrkGHIBrfT10A9ntfaP56kWQ71kZ7lVJNxZRhVaZYR+G12fqWjyMSpm9F4lqtpL/iVRxUNg/dBexGnRdYtRA2XE8hmHM+yLgOfXQo6XJwyrmEdlmGU+1RFzldLCNz75+eH9pl6x0n9oLFMWh558tOmu/b+z0edzCF6rtOEHfJmyQ/j5/MDMX0s69sU7UVWWwfqdbOsqTL1qfs4tZi1ZPpSsQxDsditFEhKokOlmTQhnHpdfY5r8McUiXDhmQuV+21FDPJK/xuRdqE8LuIGXVmGkS+UIppll5JtwwpqloUuKYlhr2L000GiGfxIo2E0DNL6RGQY6mKqCcyPBBfvkVLqjQPHbz6wHQXoQ1RZZfeGnAhCBKNheJ5h//j6MxbgF8/tw/HzZwbOUbdBz3K6qXiBX6igLwMy9UybtKOzj7VSoTiphtZwUNfl3bvBRX00ltsWkwV+jgxDP87cRDZBz3KwdKnke4vduDQqY9mXYVTeZ0sAtpDL6R0qpDHQWCYtT5xnVkY2mF3j1WhSs6H1LE8iPni+syBQ7cmOlA38XrlsHr5xy8WRuhL7SlKHayybZlwP6dx9W9l4fITaMTKc1dbyaKnL+53JKAz4BHTxzN3+hTzLGX4sbVe0L4ERGYa6mFWOhgEglO46WG0xJMNwjpU8YxnhY4jKMG5+/xmYO6sLt/73f5Wr9psT0fB2fAdsPpxZSMsTWeBXgWu5JOmEnXTXcZ5ld0flmmWIcEISt91aeQ2CGk6SPtwFfiYvXIBGm2kSDaOCT75BA0WVlOQ7c6/DZw9d7u0Ph3aT69L1R73fFUUF281w7LcvWls5/DUjzrOcdT3LwQx+QXmFbePZ/GIAwG/zC521LMI1sJNfBGf2dmBoTiDRilY/LfeN47rZ0LNMWp+IvktdLJhm2ktZakc9y6p5ScCZKO2AcV2ZsQylZ1nIjWval+uaynHSmrheWXcxWxIqyUMl0TCMxneCJOhYphfH7DFvfy01xSoJFWUY7Uvcy5bJ9wwB37NcQvTeAZz5+4XCAD5xYEdgX9mzHDCwAz6VaGcCqIarJQSKtrxP02nSMOhZJi1PcP5ZPNQX+xZ+1HY+CY+WugH4q5vdc2wAPV0KSYVrbHjBMCqLsyzKsg2VZlmuJdGLUKFnkKQDNzVuQX6SagirItwHusF5iTuMDimPB9NRRzNvVtaIcoFfhmO/XUlay5Fcztcsy3GWXaLzt/9bnZSk8mgYKkeMoLXcdGgsk5bHfeiesmQOPrn97TFxloGnJ4/H/zpyPh49tgKAH2e51DMXAPDs5GLM7uvAZ645O3Sq8Ktwtiv1LFuaT+gqL3aSrZzQFm3ldOLKMIqylkeDKrsjYPIyJm9WPqC8JqS2MooIHUno7meVZ5nRMNoZvbzCD4ahTjoFlDXLigV+wZ+RL4NCoCSiZpSf0EfxJVE6X9XfSIQnTupNhzIMkhqG5/agpyvrZfNSYUPgycll3rbrKSj1zMUdRz+AtyYsnAlg0WBf6DwhwnGW4yZdFW6sz4hnAoBs+iQZJ8m2DifWNOIuXjP3LEe9Y7Zt1/TBq/XSSX9dwgb81PrhLbZlimuC5LHo/o7zLHuLaEOeZf+3as2JF285pG12fstmdMRjrHSWCAjJyOa4bj70LJOWx8tUXd7WGbHq0HG+BnkSndB5JywRjtMstCU1fbTK0TCUoeP8Ot2+xJEUm5PzajqZN8uREHVmo9P2zm2nR/aF7VJzj27U+1VJ6fBJkVX9cQv8Kg4dF03ik6UMg0g4UjcR2taVU8kw4jzLllDHWR61HZnfq4U58X1T3D9KGQaHddOhZ5m0Pq7e2NMwhmcWd35T6TW9dNeBcD3qyVQAtl21DEOUvwWWYpyCwbqnAjXL6eR9F78NyxbOwvIl0QfwmScNYN6sLuw7dMzbp0r9XLKrGx+VnqErrzPg4+uKl2EE73cu8Gtf4jzGYRmSvlxO8SIaLC47OwCgpPA5vlacg3sPb8JLhX6pjeTxKRANHcc5vfnQWCYtj7fSP5zbw4hiyfdOxU1IQripqquLHefJMCKaN1Vb8fVqo30oPG0kPeSyGaxdMWxcXpkAxCCDXyUDKGlRnjyWMwoDXred1Ib3ckwZBoH+pUqO/60rF4yz7PJSdmno/GJJ9iwH016H632hoM/oGjw/2l+FfInDuunQWCYtj/uATI4zrPAKeKHjAp5lXRt2OBFCJROY20eVZln+beJ7CDKzJ4cF83ojbZH2RjUMTJKSVCbDiK8j8tDXLDqsqENlbDt8OGNVto6ApAydx1g6FKtZDniWv9Z5NazOXohJv4ytWuDnyTCq6KJygV8VEZJI3aFmmaQGXVis/pmd2uN20LPs7tSpMBCI1Vzh3OVmZYp+xlNPlvF1hbe/dMM78Mmr3q49TtqTsGfZf6DXcgGo3vBQv3kGQ8dF+qE1djQyDIQ9y5RgtDcmXyYEEjTLAc/yqN2DIjJhGYbiy6CbvdUoV5DZkI9/ySRNgZ5l0vL4MozobHXWSQO4+tLlznHFuaWAztlbIKdqA24bbpvqTH86LMt56JvJMOLrqnYBIGkvLFWYNrvy8TUV4zruc7LpMNWVKwXuRYAGRbsTZwT7h6J6YL9cWLNcKtleSmsXWYYhhMABexYAoAvHkITpVxvT2NCkcdCzTFqety10JqvVywcjx9acMqhOMlImKEGOTb4gRDmDX6B4RZplx3WtMpZdo7uvO+fti2OqoeVIexBOP+1LlWoaOk6nE1X8AmQDXjIIKjXKA5IoAMjSWCYKZAmGbvwLiND4LJWc+T42dByA/ZgNAJhjH6q8b4b34rmnDuGcU4cqrp/UDnqWScszv78X37jl4qrOLQV0zt4kqtSRAb94bh9+8dw+r3wlCC90nLQfAjN7O7Bjw8lYuazfrO6Ew9QsE0CtD5Y9ZacsmYPfvHgwvqK44ZTwHTkudJyxZFmrWQ6vUXDrPu2EufjVHw8Y1k7SjhuJKLlc+MuH50UO7Dt58Wz8x/MHAucIHIDjrJmDt0w6Y9LlCCuXzcOMng7826/fqOp8MnVoLJNUEzI8VaHjSn7K3LgFfqrPYhUt8CtHz9Bl8LvwzIXyLn1dU7OlSZsgazUB50tKcCyfeNwsZCyBX0kGQKieYAWmbUMtaVJKQwxqU+GFfZQ0yze9d5WZfpS0BfJ9EDd/hiNflGDboYjLuP49p+EHe17AI//6klf3IfShgCwex+rkvkjb1SwSJ82BxjJJNcHpxY6LhhFYgWyiI3acFeaTl7BQ9izHpz91+5JQW/xRTqptScSLq1jgB9jGD2izmLDAZ645G8/vPazui1RFRtmn5DbUhEMlujKMsEaVtDtCSAZzjLY5eM+4c3WwdFdHFscN+NldHXmdhe/OvwnP7x0FMBbfF1XnSEtAzTJpH5SeZeevM6HqJy5ZT6kKHB+Hm/TEZIFfElNdAEjag+CDf/FQH1Yu68efbVweGudOBrIwvhc62T0rhMCiwT6sW7VAfTxWsyzXpWsjvP2XO1aX+1eukwv8SAyh/H0JiozgWCuWbGUSn4wm/KHJ/WIaDSOpb6Tx0LNM2pqQZzlmMrLk10pR2USni7NcjWgiadLk5zoChMdsNmPhxveuAgC8ccD3fimHSg2Gj86zHKdZ1sqfA50877Rh79/l37tu3fT9kChhGYY+ipEQiCzwg21DSC9hcrIfUY4ramQsx/QtCc7rzYWzC0k1CZJlP3QcAjpL5QI/acLUlNP2w3vA6/tnXBejYRAFka8fMUZBqIzmIT8VOY9Os5yJiYahr8vhgpXzcc3mU/x/p+RZZjQMokTyJmtfyqDwLEMx98sZI4Wb3VVdbzYTfEE0u0e1HSRNg8YySTn+DKNMSqLIXq2akyLP4Qp1kW4cZzviWa6CRBkGZ1USEyJL8oxFjkvbVSUyce+lGB21edBZ50/GcryCrrHi3bqUYZAY5DGnnR9lzbJtwy7ZkXElrwUQQDmsqHpuXzjQh86OjNtEuEnzfwbn9SZDY5mkmqT5xY+GEZ8qN+JdSNA4y1jlSbUmmuWk45xTCcw0wEKhWa7FANKJLSJeuYrqcs+TtpnBjyQQfNmLlduFomHYKJaicckjUiJXYqfxg8SNysqeIcZFSR2gZpm0EdHZzFZpllXeNgMPXByi/CkwaixXo1mOP4fatjZF9lppxoGsuayw2or6EvEsV6FZlivRZTejDIOoCCfnif+AETxWKtko2dHoMUFpfKi8Vs4UHdt/fc3Z6OzI4PcvG8RmJtMCepZJqglOUnGa5WA0DNVcGn1AVyjD8JKSJIeOI6RRqOQVKhlGtfVGvcIG4tGE/ug+i9OzTLQEXt7kuXznFafj7FMG0deTC3uWizZKJf14c+pzZRh6zTIQlQwdN9iHgdndFY1ZOkGaC41lkm4SZRjlYgrj974b3+H9lieqpFBzMlbZtRxd4Ff7CZDaNhJHOHRcTLnQOZW2oT4xEyfDSJCN+KHi1MczNJaJgnwxmDY1Os+feNxsXHfZaREpng0nMUl07g9/mRHCXeCns5b147ISA5jTenOhsUxSTchzpoqzHPQsB84CgJ6unLQnUK+obMmTO6lGQ8fVHtoM7YnpZQ+FiVVFfpF3JHjNKulTLcZmdP2As01jmagYnyiEX/wiESn833L0wUKxpPAsB8/13+R090h4jYD+WCK0lpsKjWWSSkTkh0aGoVjgp9QnK5xgFXmWNTKMekDPMolD9oxFHvK1NGjjNMtmjuWA982WtsN1Ms4yURExliPjLiyrCJIvRI3l0P0T2DZK4iNtV+JZ5uhuLvzvT1KJSgummsyCu+JCx01Zs1x2XesWgdQS2soklgTPsqp8xTKMaFMAgEzAoDV+qYsxuJ163Lo58EmU8Ymi91sItaTORT5WKCoW+ImocW2j/tEw6ARpLjSWSSqJW6wXxEtKItSLnfz6otuVGssCokHGMifVtsTwuidFw4jcB1MYspWlu1b3363DvXUiETYowyAxLFsw0xs0qhESdz/kiyrNcvDccp1xGfxi3NqVfAzhtN5caCyTVOI+N42dV4mh46ITpvsQN3lIe6HjqFkmdSabiZ/WwxpKhWY55j4wRVXHkqEZGJrb7ZepsgHdgitGwyBBZvZ24Cs3vgNnnjTg7xQKzXvgdol4lgulSLrrsIzJsZbjMvgB8F445RFKz3LrwDjLJJX4E5zZBBP0FJuE0xKBVdUzeztwcHQitn5fs2zUnSnBSbW9ufWDb8e8WV3a46YJGqbiUXbvGLf6wTnduOPqNZjIhz+Jm+Deym53dAuu6FkmIWwbveVF2sGREY2mor8fiiU7Mq5CZcqe5bgMfqHnSYykIwlO682FnmWSStxJKDjBxL35i2DYIAPPMuAs/gAcY9mkP6LOmmXdZ2rSHriXvSOXwYwe/ZiUNZomC5Mq7ov0rqp6dY37vG1Ut1QPjWUSRPURz3FyxMgqFGMosqA0sG2Va3XaS5ZhyLVXJMMwL0rqAI1lkkpUz804k8BK0CCrNMuHxyYBALMMjGXn/MZMd/QstzdJV9/YqJyKDMP76760Rl9ezSvTGyuA/xWJMgyiQ/YGh48J5W+XuJe6UFzmuAeMZmhShtE60FgmqcR9cJpOL6K8AE93jkprNjqWB1CZZ7kRcEolccQtsnP2hXfasDG7r7OyRqQ1A36V+rZ14zbijYsYz85fepZJEN0Xk4gMI3RMIcGTrCR5QaAbflGb7hrwNcsJL35x0FZuLtQsk1SilFQkfG6OPtgV9QXK9nQ6t8/8/p7E/riaZULqhbkGWCh/x3HRmQsxoyeH7/7kP7H/cLw+Hwh6lMPtJC0u1FQWQv507csw6PshDvP7e7Bt3bLoAaGay+NfHpM8y+6mSTCMaN0xB+V6aC03Fc4uJJV40TACU1W8DCOoZVN4FxTeiEvXLsH17zkNZ7xtnkF/BF2+ZFoQftgblIeAZQmcfcoQjAexdP+pQ9TFdExVTuOdYzQMIvO5j52Ls04eiOwXiB/zqpfH6AI/ybgW5mtRTMMlmpxLGguNZZJKLN9aNiLJllU9oLMZC2edPGg04QVDzRFST5Ie27JGU37Oy8PZriIshqy68AzaBH2osq6ET9eUYRBTHNtWP06UnuWYaBh+9r64RvXtVSTD4POjqdBYJqmkkkkIQCjOsokXrFLvnGUlWOOENIE4fb7yWAUvn6G6FJUaa5bLB1yjXeedy2R4g5GpodQsyy9nkuY/KdmU0PwGonroOOhZbi40lkkq8TSSwZ06TZns/VJ4qOI+n5nMYZaov1+g/ulOSEtQQSg4IUSdxk3YWlZl1KxSsqw1Xip9QSZtSMIYkROQAPFxmV15XVyyqXCT8V9JYvvG4d1UaCyTVKJc36cxC+TFRxn1Cr/wZswxdX/4EY1MP5RDtwZPZf/+cw1Zd3+MDCPZtRx7mJ5loiP0/hirWVbsk5PgSMcFYlJdu+1rvopUZixzfDcTGssklfiaZX+C0a5Wlh7kqodu1LsQOBZTp8uJx81CJiENca3gnNqeVPMwrZc3VpZfxKbVls7R1aWDSUlIEu7UbzqW4vbJnmUh1AlQTKjk9uPobi4MHUdSiVKGoSXsWTZaVR8SLatqFLBhY/XyQcyd0YmZvR3o6sgY9Waq1DFJIJnGnLxoNl7bdxQ95RS/JgjHLRbeJ5WpajzFvFz6RarUYUhYTEpCDEleyB3dJ7+EqeKUx2qWhdCOdXqWWwcayySVqCaWzrKxKkTYAJDDzKnitUZW4Afb0oWas4ErL1yGwdndAIDuzvrebpxK25vt7zoR7zzrOMyZYZ5ARPkArsFAkkPGmbSjMwaSuuMeZ5xlosXwjc9kgV80GoaAbehajnxNqeAFj7Zyc+HsQlKJQoWBT1y5ElesPwEDs7pDZeXJUPU5V56osllLeyxYZ/AG6+7guympH9mMhQXzeis6p/xOF1+mmoe0CP9QSpVMq3LDc2mOu54+yjCICfGeZYUMIyHOshBAMcFY1q+XiT1Nate8LKk9NJZJKlG9sc+b1Y3Na5cqIls4f91PaeqHbnhfNhM0lmOM68Chrs7GyDAIMUU5dqXtamQY8vA3aUfHQPnLzOKhGeq2KpFPkbbEdAirxlDcehVR/l+8DCOmPcowWga6ukgq8SNcmHxWK3uuYoxleVeSF0uOBgD46bEJmS7EfRWZih4jusCv6qpw8qLZ+Kur12DRYJ+375Qlc/D2k5wMbVzgR1w+tuVU9M/qiuz3FvglhY5THI5Ew5AjuojkF0qdZrkiGYZxSVIP+PQmqSROvihPiO5D1o2VqfRQSbtySTIMRZrfrjoby1zXRyqlXnGWdS+k0s7wprayqFf55u1nRuqmsUzWnjasPhAKHacfJ8poGBFjOVpVUlISrQxDe5aiHnqWm0rVT+/XXnsNN998M/bv34/jjz8e99xzD3p7w3q5V199FVu2bMHixYsBAPPmzcP9998/tR4TYkDc5y35mGcs2+HtIHG65jgZRvBYd4OiYXBOJabUy76MXdjnljGtK+E4o2EQU6qJhpEYOg4iNilJsFLZw8wx2zpUrVn+zGc+g6uuugq7d+/Gaaedhn/4h3+IlPnVr36FrVu3YteuXdi1axcNZdIw3AlNNYlFAsN7xrJehiHvScrgpzISau1ZblQoOpJiTFb4TbF6wPAFrkq7wT2NnmWiQ+fZlVFrlmVjObjh/K/6OMscs61CVcZyPp/Hk08+iQ0bNgAAtm3bht27d0fKPfvss/j973+Pyy67DDt27MDvfve7qfWWEEPcOU+dWUntJfY0y4rkIbGTWoxqI3haJZ7lT394Nf76I2drj//tx8/D3R8/L7Svf6aj1eukEU0MMUkWYnpMWW/4z9Tq0sBoGMSUpBGi0hbLkj45C6UAYkPHxbXJIds6VGUsHzx4EH19fchmHU/ZwMAA3njjjUi5zs5OvPvd78Y///M/4yMf+Qiuv/56TE5OTq3HhBjgeZYVc5g8QXme5ZJ7PHmBX6gtZfvRY5XEWV46PBPHDfRpj/fP6kJfdzj5xIc2nITrLluBpcMzjdsh7Y2FqNetls9vry4Dy7jahPCMhkEqodKXwUiM/aAMA8nRMCCAj21ZgUWDfcjlwiYXPcutQ+LT+5FHHsGdd94Z2rdkyRKjBRw7d+70fq9fvx5f/OIX8cc//hHLly836lx/v95YqDcDA+owRaQ1cCUPM2Z2Ra5lTvK8dnZkMDAww0tzPXt2d+Sc7u6O0HbweNdY9AXQ9U73z+vDnBmOx7eoWHVY63G2aOGcmtaXFng/q5kzpxe5bPh+6J83A33dOXR1le+hGf49JH910f13nTOnBwMDM9Db5yRI6ezIRsrOnt0TqmfmzIPKupKu3ZyRowCAuXN6eZ1TzOsdrnOu8ms8a/84AKCjI4tZgXEn13dsshA5d/bsnlCZQrHk/e6f14dcRxbC0jsBOzqy2HjBCdh4wQmRY5090fPkf5/q39sO43y6/RsTjeVNmzZh06ZNoX35fB7nnHMOisUiMpkMRkZGMDg4GDn3wQcfxJYtWzBnjvMAt23b80absH//kXjhfJ0YGJiBkZHRhrdLakeh4ExoBw+ORa5lsVAKbdslGyMjo5jMFwEAY0cnIuccm8iHtoPHjx4LHwN8SceBA0dRKB+fUJTjOKs/vJ/1HDo0hnyhGNq3f98RjHdlMTHhGA6jo8e8/37FYvje0f13PfTWOEZGRjF21DEGJvOFSNlDh8ZD9YyOHlPWlXTtDh92zjsS6CdJH/nJAnId2aqu8VuHxpw68kUcemssdCxYn3wvANFxFbRJDh44iny+6D1v1P0uavs8ZvBMUJ2b9nHejDnbskSsg7YqGUYul8Pq1avx8MMPAwC+//3vY926dZFyTz75JL73ve8BAH7+85+jVCrhhBOib1eE1Br3i6zq85h2gV+MDCN2BXXMvuCxeoeOI6RShBCRBX5xX4aNpUReNAx3s36fm90PNpRhEB2miXXMMviFywvEZ/CLl31wzLYKVUfDuOOOO/Cd73wHl156KZ566inceOONAIBvfetb+PKXvwwAuP3227Fnzx5s2bIFd911F774xS/CiguAS0iNsLxFe9FjujBw/gK/5NBxScfcfXKYIUKmEyZDMngP3XDFSvzpOJMRowAAFbhJREFURW/DkuH4T6TR6DGV982U2b2dsAQwu68juTBpb0T8XK5er6KXnLrprtULyZPhM6F1qNrVtXDhQjz44IOR/du3b/d+Dw0N4YEHHqi2CUKqppLQcZnyC1xs6LhK5zTOgaQFqNSzNXdmFzaesxjvPGshJmM+Pfue5biXzPhtU44b7MM3/+ZSjB9RyzgIMY2PqM7gF1de/5yptj0yPaGbl6QSL3Sc4pj8APdlGK6xrAgdF2P9xq2g5mRIpjMm41NVJpfNoLcrFz3gnuNmsPS29WVqgRwZhhAVSWPORIYRLu/8jc1JEtMepUOtA0WUJJXIBnDomLSdkSQbqgksPsyyvnw9tZqETBWlPl/aVc0XZhFnJevO4b1C6oQ7hqtxXsRJJQQcAzs2dFwMcf1551nH4Y2DY/oCpKHQWCapxIr7PKbzLFcpw1AdEzHHCJlOyHeI7BWeCl5dcTcJIXUmOMYrnZNjjeXysdikJBVqpF0+8CcnGfSONArKMEgq8T+PKTzLEc2yibFcmQyDq5xJK1CvBUZVVctbhjSAxYMzMDS3J7lgmTiphFVe4Md01+mHxjJJJQOzuwGotYy6aBiuF1opw4htLUaGIR1at2p+bE2ENBJnJb+8swb1eh5lhP7WuBlCzAiM8c6ODO689lzjU408y1XKMEjrQGOZpJKt5y/Fzm2nY+Wy/sgxbZzl8nxXE8+y9yk7fPDPNi7H1z91UVzXCWkYyrCHtazf4KCb1p3GM6k3VX3wiI2GUU53XWWcZdI6ULNMUknGsnDmSQPKY0me5ZpoljUeNTeIPSHNxPUoG8VZNgy7Jdcf/KF72bz742v9qBq8MUidqGYMd+QsTOZLyueBi3ACN1dRO2k1aCyTtkOe+uSkJLWJhsHQcWT6IiBgwy6P0/CjvpZjNil03LxZ3bVrjBAdXjQM88HdmctgMl9KkGHwHa9doAyDtB3aOMuuDCNTWZxl1SG/CU6lZPrhhzasV/1SA7H3iFuE9wqpD9V4fjtzGQAGmuWEYctFfOmAxjJpO6IZ/KRoGAaxZ0PHlG3Qs0ymL0GZUHRt0tQtadlG5m1ApgOVzMedHY6xHGdoGyX1MW+STGNoLJO2Q/YUWOWMfa4MI5OpdIFfZcY1Ic3GHbMmSUmqayDcjkmlvGdIvagmWIXrWZ7IF7VlHMcyB247QGOZtD3+Aj9nOyl03M4rTk+s0y1frzi2hEyF4Pq7eixOkke9+utLHRompEYcP38mAN9oViGESB7HHOepgAv8SNuhk2HYBhn81p+xAGeeqI6yES5fZ1EoIVNB9vzWvH59nOXokkJC6k3lI+59F78NZ500gEWDfdoyJncPHwHpgJ5l0nZEZRiSZrnCOMsqaCuT6YynqVceq0H90l9127w7SGOwq4iGkc1YWL5kTmwZo1Cg/ISSCmgsk7ZD71kOb8edk9iGl8GMEyWZfvgyDAMdRhVu4Lg4y7pbgvcKqRczepxY3gOzu5rcE9Kq0FgmbYcuKYm/rQgdV8WDPO6MOTM6K66PkFoRjNZy6vFh71ktPb4qD7NqTQAh9eTkxXOw84rTccX6ZTWvO+nZwNGeDqhZJm2HLt217jhQxYQn4k+667q1Va3QJqQWBD3LV6xbhovOXIhPfvWJ8MGp1B8TZ1mb3XLqzRKixWStST3gB5N0QGOZtB06z/KnP7wa//6f+zWh4CrULCPeQ5dVJD4hpFG4w9kSzsuiKpPeVDzMcXGWdfdS8N2RiwBJq0BjuD3gE5u0HTrP8tLhmbjsguNr1gYnUTJdiYt/XJNhG4m24deqC6foRqNZs3wQ999ycS16QQghNYHGMmk7ZI9ZqZTsw6pcZklLmUx/6jVKI3GWAzusiCHt4N6HfMkkaaLWC1eziqRZpP5QhkHaDtnwzRdKiedUEzqOq/vJdMW9B1SviTUZt1JoOpUMQ27FDd3IBYCkmXx403L0dJqbRo2c5//+E+9goqsmQc8yaT9cvWb5oZwvJhvLlbrgBOghI9MYEU7EE0c12uHI0Fd4lmW8DJq8cUgTWbdqAVYvHzQurxqtf/PRc7B0eIb2uI4kI72vO4eeLvo4mwH/q5O2w/UEdGQtHJssGnmWK36ACwoxyPTFHZuxtvIUBrBXv7cdjLOsztjjGu40lklLoRiuC+f1YuFAL154fdT4Prr5/WdgaG5PbftGagY9y6TtmNXbAQA4NlkEABSKeoshLtVpHILWMpnGuJ6zro5MfRqIiJYDP9W2ckCGUZ8uEdJIKo0mc8rSuZg7k0lTpiv0LJO247zThvEvT7zobRdiPMv/9c9Wo1iysefZvZU1IpjOl0xf3v/Ot2Hr+UvRXYE2sxLcse96i02SkrjrbOlZJq1E0mjlaE4HNJZJ2zG/vxf/5fLTcGSyiP/58G9iNcvZjIVsBlUJkPnMJ9OVjGVhZk9HbJm1K4bx+DN7cfKi2RXXH0k4EvQs+3HlQmX8aBi8cUj9WTzUh1XL5k29Im3+9sgPJWedNIDOen3hITWDxjJpS1YvH0TfzG788ndv4op1JySWr+bxzWc+aWVOWTIH35hivGN1tI3yX2l/iZpl0kD+6uqza1KPbrSajuLrt51ek36Q+kJjmbQt3Z1Z3PjeVXWp25Fd8qFP2hPPO+xZy4GkJBoZhrvYkLYyaSWSxivHczrgUgpCDKg4fJagYpkQLxpGaIGfiOwDfBkG4yyTNKD7gkJaExrLhNQJehRIu+KNfdUCv/KGnDjTBmUYJE1wHKcJyjAIqSGzejtw6OgkLGbwI22MHGc5+OZoaRKieAv86MIhLURwnv+rq9fg6Hi+vN8t0IROkZrDaYmQGtHTmcX2d52Ivu4c+rpzze4OIc0j5kXRkzNLnmWGjiOtSHC0Ds7pxilL50rHOZ7TAD3LhBiQNN19/tpz0duVxYyeDpx9yhD+x//5D8owSNsiZwgM3gquJ64k6TBsho4jLU4moLfnKE4XNJYJqQHDcppSJvAj7UxMBj9PhiEtm/VDx9WzY4TUmODYDg5ervBLFZRhEFIHBMAVfqRt8T3L0QV+ehkGo2GQ1iO8eDU6djma0wE9y4QYUHHoONBWJu2L8LzH5e2AyaCVYUia5b/9+Hk4PDZZ344SMmWc8ZqxREhCxOk/XdCzTEhd4LIOQgLWsodVfupEPMueZtnZ7p/VhePnz6xv/wipgpOOm+W91LnjNfJFRJ3VnbQo9CwTUgcEQ8eRNkZO4Kdc4CeHjqMMg7QIt3zwrMg+/bjleE4D9CwTQgipKZ55oAiHYXmHwsZyd4fju+nupA+HtA7u0M5IzhGayOmCsxIhBlQ68Qnw8xtpZ/Sa5XNWDOP3rxzCwOzu0Bmbzl2Czo4M3rFyfqM6SciUcb+UyJ5ld8zzOZAOaCwTUgfOWTGExUMzmt0NQpqCHPEiaDBceMYCXHD6fOSy4Q+buayFDWcvblAPCakNrpGc0cgwaCunAxrLhNSB047vx2nH9ze7G4RMO4QQyGVpQpB0kM2oPcuelUzXciqgZpkQA6oJHUdIu+Iv8AtHuCAkbWQzjhkle5Y55NMFjWVCCCE1xdMo29I2ISkjo/Msl+HITwc0lgkxgBMeIRUghY7jDUTSSrYcODySva+86XqeSWvDq0gIIaSmxKW7JiRNuJ7lqK3s7OjsoJmVBngVCSGE1JSIRpnWMkkprudYzkiZL5YAAJ25TKO7ROoAjWVCCCE1phxnmZplknKyljvWw9byZL4IgMZyWqCxTAghpKZE0l3TViYpJaPxLE+4xnIHjeU0QGOZEEIIlg7XIYmObEEQkjJczXJJGusT9CynCiYlIYQQgk994O04NlGoSV30JJN2wY2GIb8XTuapWU4TNJYJIYSgM5ep2YPd1ShThkHSjpvBT05d5XqWuyjDSAWUYRBCCKktEfuB1jJJJ240jFLEs+wYyx30LKcCGsuEEEJqimsaz5/XCwBYMK+neZ0hpI5kNNEw6FlOF5RhEEIIqSmirLtYs3wQgx9eg8VDfU3uESH1QRcNg5rldEFjmRBCSN1YUo8oG4RME1zNshz3haHj0gVlGIQQQgghVeBn8Auby/kCPctpgsYyIYSQmrByWX+zu0BIQ3HjLMsyjBVL5wDwjWnS2lCGQYgBJy2aDcDRYBJC1Fz/ntNwZLw2sZoJaQX8OMtha/nPr1iJ0bHJZnSJ1AEay4QYsGBeL75xy8XN7gYh05pcNoM5M/jZmbQPmYw6LGJnLoPOWd0N7g2pF/w+QAghhBBSBbo4yyRd0FgmhBBCCKmCrCbOMkkXNJYJIYQQQqpAF2eZpAsay4QQQgghVeBHw6C1nGZoLBNCCCGEVIEXDaPJ/SD1hcYyIYQQQkgVZOlZbgumbCx/6Utfwle+8hXlscnJSdx8883YtGkT3vOe9+APf/jDVJsjhBBCCJkWuDKMpcMzm9wTUk+qNpZHR0dx22234YEHHtCWefDBB9Hd3Y1HHnkEt912G2699dZqmyOEEEIImVZkLAu3f+gs3Pjelc3uCqkjVRvLjz76KJYuXYqrr75aW+axxx7Du9/9bgDAmjVrcODAAbz22mvVNkkIIYQQMq1YtnAWerpyze4GqSNVG8uXX345rr32WmQy+mxNb775JgYGBrztgYEBvP7669U2SQghhBBCSENJTHf9yCOP4M477wztO+GEE/CP//iPiZXbtg0hRGjbsszt8/7+PuOytWZgYEbT2iaNg9e5PeB1Tj+8xunm9Q7HXOF1bg+m23VONJY3bdqETZs2VVX50NAQ3nzzTSxevBgAsG/fPgwODhqfv3//EZSakENyYGAGRkZGG94uaSy8zu0Br3P64TVOP/nJAnIdWV7nNqAZ97NliVgHbV1Dx61fvx67du0CADz11FPo7OzEggUL6tkkIYQQQgghNaPmxvK3vvUtfPnLXwYAfOhDH8Lk5CQ2b96Mz33uc7j77rtr3RwhhBBCCCF1I1GGkcTOnTtD29u3b/d+d3Z24q677ppqE4QQQgghhDQFZvAjhBBCCCFEA41lQgghhBBCNNBYJoQQQgghRAONZUIIIYQQQjTQWCaEEEIIIUQDjWVCCCGEEEI00FgmhBBCCCFEA41lQgghhBBCNNBYJoQQQgghRAONZUIIIYQQQjTQWCaEEEIIIUQDjWVCCCGEEEI00FgmhBBCCCFEA41lQgghhBBCNNBYJoQQQgghRAONZUIIIYQQQjTQWCaEEEIIIUQDjWVCCCGEEEI00FgmhBBCCCFEA41lQgghhBBCNGSb3YE4LEu0ZdukcfA6twe8zumH1zjddMyZjWwuy+vcJjT6Oie1J2zbthvUF0IIIYQQQloKyjAIIYQQQgjRQGOZEEIIIYQQDTSWCSGEEEII0UBjmRBCCCGEEA00lgkhhBBCCNFAY5kQQgghhBANNJYJIYQQQgjRQGOZEEIIIYQQDTSWCSGEEEII0UBjOcAPfvADXHrppbjkkkvwzW9+s9ndIVPkvvvuw+bNm7F582bcfffdAIA9e/Zg69atuOSSS3Dvvfd6ZX/zm99g27Zt2LBhA26//XYUCoVmdZtUyV133YVbbrkFAK9zGvnxj3+Mbdu2YdOmTfjsZz8LgNc5jezatcubt++66y4AvM5p4ciRI9iyZQteeeUVAJVf19deew0f+MAHsHHjRnz84x/H0aNHG9d5m9i2bduvv/66fdFFF9kHDx60jx49am/dutV+7rnnmt0tUiU/+9nP7Pe97332xMSEPTk5ae/YscP+wQ9+YK9fv95+6aWX7Hw+b19zzTX2Y489Ztu2bW/evNn+xS9+Ydu2bd966632N7/5zWZ2n1TInj177HPOOcf+1Kc+ZY+Pj/M6p4yXXnrJvuCCC+y9e/fak5OT9vbt2+3HHnuM1zlljI2N2WvWrLH3799v5/N5+8orr7QfffRRXucU8Mtf/tLesmWLvWLFCvvll1+uap6+9tpr7Yceesi2bdu+77777Lvvvrth/adnucyePXtw7rnnYvbs2ejp6cGGDRuwe/fuZneLVMnAwABuueUWdHR0IJfLYdmyZXjhhRewZMkSLFq0CNlsFlu3bsXu3bvx6quv4tixYzjjjDMAANu2beO1byHeeust3HvvvbjuuusAAM888wyvc8r40Y9+hEsvvRTDw8PI5XK499570d3dzeucMorFIkqlEsbHx1EoFFAoFNDX18frnAK+853v4I477sDg4CCAyufpfD6PJ598Ehs2bAjtbxTZhrU0zXnzzTcxMDDgbQ8ODuKZZ55pYo/IVDjxxBO93y+88AIeeeQRfPCDH4xc4zfeeCNy7QcGBvDGG280tL+kej796U/jpptuwt69ewGo72Ve59bmxRdfRC6Xw3XXXYe9e/fiwgsvxIknnsjrnDL6+vrwiU98Aps2bUJ3dzfWrFnD+zklfO5znwttV3pdDx48iL6+PmSz2dD+RkHPcplSqQQhhLdt23Zom7Qmzz33HK655hp88pOfxKJFi5TXmNe+dfnud7+L+fPnY+3atd4+3fXkdW5disUinnjiCXz+85/Ht7/9bTzzzDN4+eWXeZ1Txm9/+1v80z/9E37yk5/gpz/9KSzLwgsvvMDrnEIqnadV17eR15ue5TLDw8N46qmnvO2RkRHvcwFpTZ5++mnccMMNuO2227B582b8/Oc/x8jIiHfcvcbDw8Oh/fv27eO1bxEefvhhjIyM4LLLLsOhQ4cwNjaGV199FZlMxivD69z6zJs3D2vXrsXcuXMBAO9617uwe/duXueU8fjjj2Pt2rXo7+8H4Hxqv//++3mdU4h8/ZKu69y5czE6OopisYhMJtNwG42e5TLnnXcennjiCRw4cADj4+P44Q9/iHXr1jW7W6RK9u7di+uvvx733HMPNm/eDABYtWoVnn/+ebz44osoFot46KGHsG7dOixcuBCdnZ14+umnATirsXntW4MHHngADz30EHbt2oUbbrgBF198Mb7+9a/zOqeMiy66CI8//jgOHz6MYrGIn/70p9i4cSOvc8pYvnw59uzZg7GxMdi2jR//+Mect1NKpdc1l8th9erVePjhhwEA3//+9xt6velZLjM0NISbbroJO3bsQD6fx5VXXomVK1c2u1ukSu6//35MTEzgC1/4grfv/e9/P77whS9g586dmJiYwPr167Fx40YAwD333IO//Mu/xJEjR7BixQrs2LGjWV0nU6Szs5PXOWWsWrUKH/3oR3HVVVchn8/j/PPPx/bt23HCCSfwOqeICy64AL/+9a+xbds25HI5nH766di5cyfOP/98XueUUc08fccdd+CWW27BV7/6VcyfPx9/93d/17D+Ctu27Ya1RgghhBBCSAtBGQYhhBBCCCEaaCwTQgghhBCigcYyIYQQQgghGmgsE0IIIYQQooHGMiGEEEIIIRpoLBNCCCGEEKKBxjIhhBBCCCEaaCwTQgghhBCi4f8DbGhScAL6lxcAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 864x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Start importing packages\n",
     "import pandas as pd\n",
@@ -851,10 +1588,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [],
    "source": [
     "\n",
@@ -930,10 +1665,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 16,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# FORMAT_DATA\n",
@@ -1019,11 +1752,377 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"model\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "input_1 (InputLayer)         [(None, 2, 1)]            0         \n",
+      "_________________________________________________________________\n",
+      "RNN (SimpleRNN)              (None, 200)               40400     \n",
+      "_________________________________________________________________\n",
+      "dense (Dense)                (None, 1)                 201       \n",
+      "=================================================================\n",
+      "Total params: 40,601\n",
+      "Trainable params: 40,601\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n",
+      "Train on 9 samples, validate on 1 samples\n",
+      "Epoch 1/150\n",
+      "9/9 [==============================] - 1s 71ms/sample - loss: 0.2312 - val_loss: 0.3372\n",
+      "Epoch 2/150\n",
+      "9/9 [==============================] - 0s 660us/sample - loss: 0.1141 - val_loss: 0.1061\n",
+      "Epoch 3/150\n",
+      "9/9 [==============================] - 0s 659us/sample - loss: 0.0394 - val_loss: 0.0071\n",
+      "Epoch 4/150\n",
+      "9/9 [==============================] - 0s 699us/sample - loss: 0.0046 - val_loss: 0.0171\n",
+      "Epoch 5/150\n",
+      "9/9 [==============================] - 0s 704us/sample - loss: 0.0033 - val_loss: 0.0889\n",
+      "Epoch 6/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0219 - val_loss: 0.1605\n",
+      "Epoch 7/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0415 - val_loss: 0.1926\n",
+      "Epoch 8/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0500 - val_loss: 0.1812\n",
+      "Epoch 9/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0461 - val_loss: 0.1415\n",
+      "Epoch 10/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0347 - val_loss: 0.0922\n",
+      "Epoch 11/150\n",
+      "9/9 [==============================] - 0s 824us/sample - loss: 0.0212 - val_loss: 0.0479\n",
+      "Epoch 12/150\n",
+      "9/9 [==============================] - 0s 787us/sample - loss: 0.0099 - val_loss: 0.0172\n",
+      "Epoch 13/150\n",
+      "9/9 [==============================] - 0s 675us/sample - loss: 0.0030 - val_loss: 0.0022\n",
+      "Epoch 14/150\n",
+      "9/9 [==============================] - 0s 986us/sample - loss: 9.7638e-04 - val_loss: 7.2656e-04\n",
+      "Epoch 15/150\n",
+      "9/9 [==============================] - 0s 997us/sample - loss: 0.0027 - val_loss: 0.0076\n",
+      "Epoch 16/150\n",
+      "9/9 [==============================] - 0s 918us/sample - loss: 0.0065 - val_loss: 0.0172\n",
+      "Epoch 17/150\n",
+      "9/9 [==============================] - 0s 802us/sample - loss: 0.0105 - val_loss: 0.0249\n",
+      "Epoch 18/150\n",
+      "9/9 [==============================] - 0s 747us/sample - loss: 0.0135 - val_loss: 0.0282\n",
+      "Epoch 19/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0145 - val_loss: 0.0264\n",
+      "Epoch 20/150\n",
+      "9/9 [==============================] - 0s 914us/sample - loss: 0.0137 - val_loss: 0.0206\n",
+      "Epoch 21/150\n",
+      "9/9 [==============================] - 0s 796us/sample - loss: 0.0113 - val_loss: 0.0131\n",
+      "Epoch 22/150\n",
+      "9/9 [==============================] - 0s 767us/sample - loss: 0.0081 - val_loss: 0.0060\n",
+      "Epoch 23/150\n",
+      "9/9 [==============================] - 0s 963us/sample - loss: 0.0049 - val_loss: 0.0012\n",
+      "Epoch 24/150\n",
+      "9/9 [==============================] - 0s 797us/sample - loss: 0.0024 - val_loss: 6.3233e-05\n",
+      "Epoch 25/150\n",
+      "9/9 [==============================] - 0s 928us/sample - loss: 8.9651e-04 - val_loss: 0.0025\n",
+      "Epoch 26/150\n",
+      "9/9 [==============================] - 0s 840us/sample - loss: 6.0079e-04 - val_loss: 0.0075\n",
+      "Epoch 27/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0013 - val_loss: 0.0135\n",
+      "Epoch 28/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0025 - val_loss: 0.0187\n",
+      "Epoch 29/150\n",
+      "9/9 [==============================] - 0s 993us/sample - loss: 0.0037 - val_loss: 0.0217\n",
+      "Epoch 30/150\n",
+      "9/9 [==============================] - 0s 791us/sample - loss: 0.0044 - val_loss: 0.0217\n",
+      "Epoch 31/150\n",
+      "9/9 [==============================] - 0s 858us/sample - loss: 0.0045 - val_loss: 0.0191\n",
+      "Epoch 32/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0039 - val_loss: 0.0146\n",
+      "Epoch 33/150\n",
+      "9/9 [==============================] - 0s 911us/sample - loss: 0.0029 - val_loss: 0.0096\n",
+      "Epoch 34/150\n",
+      "9/9 [==============================] - 0s 713us/sample - loss: 0.0018 - val_loss: 0.0050\n",
+      "Epoch 35/150\n",
+      "9/9 [==============================] - 0s 647us/sample - loss: 8.5783e-04 - val_loss: 0.0018\n",
+      "Epoch 36/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 3.0594e-04 - val_loss: 2.5202e-04\n",
+      "Epoch 37/150\n",
+      "9/9 [==============================] - 0s 863us/sample - loss: 1.8101e-04 - val_loss: 6.7099e-05\n",
+      "Epoch 38/150\n",
+      "9/9 [==============================] - 0s 703us/sample - loss: 3.9999e-04 - val_loss: 7.7128e-04\n",
+      "Epoch 39/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 7.9741e-04 - val_loss: 0.0017\n",
+      "Epoch 40/150\n",
+      "9/9 [==============================] - 0s 700us/sample - loss: 0.0012 - val_loss: 0.0025\n",
+      "Epoch 41/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0014 - val_loss: 0.0027\n",
+      "Epoch 42/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0014 - val_loss: 0.0023\n",
+      "Epoch 43/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0012 - val_loss: 0.0016\n",
+      "Epoch 44/150\n",
+      "9/9 [==============================] - 0s 829us/sample - loss: 8.8874e-04 - val_loss: 7.5455e-04\n",
+      "Epoch 45/150\n",
+      "9/9 [==============================] - 0s 951us/sample - loss: 5.1152e-04 - val_loss: 1.7192e-04\n",
+      "Epoch 46/150\n",
+      "9/9 [==============================] - 0s 660us/sample - loss: 2.0790e-04 - val_loss: 4.0816e-06\n",
+      "Epoch 47/150\n",
+      "9/9 [==============================] - 0s 711us/sample - loss: 4.6266e-05 - val_loss: 2.7128e-04\n",
+      "Epoch 48/150\n",
+      "9/9 [==============================] - 0s 749us/sample - loss: 4.1003e-05 - val_loss: 8.3658e-04\n",
+      "Epoch 49/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.5438e-04 - val_loss: 0.0015\n",
+      "Epoch 50/150\n",
+      "9/9 [==============================] - 0s 928us/sample - loss: 3.1567e-04 - val_loss: 0.0019\n",
+      "Epoch 51/150\n",
+      "9/9 [==============================] - 0s 876us/sample - loss: 4.4962e-04 - val_loss: 0.0021\n",
+      "Epoch 52/150\n",
+      "9/9 [==============================] - 0s 641us/sample - loss: 5.0340e-04 - val_loss: 0.0019\n",
+      "Epoch 53/150\n",
+      "9/9 [==============================] - 0s 808us/sample - loss: 4.6209e-04 - val_loss: 0.0014\n",
+      "Epoch 54/150\n",
+      "9/9 [==============================] - 0s 672us/sample - loss: 3.4820e-04 - val_loss: 8.3973e-04\n",
+      "Epoch 55/150\n",
+      "9/9 [==============================] - 0s 969us/sample - loss: 2.0743e-04 - val_loss: 3.5795e-04\n",
+      "Epoch 56/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 8.8204e-05 - val_loss: 6.8977e-05\n",
+      "Epoch 57/150\n",
+      "9/9 [==============================] - 0s 871us/sample - loss: 2.3493e-05 - val_loss: 3.3119e-06\n",
+      "Epoch 58/150\n",
+      "9/9 [==============================] - 0s 919us/sample - loss: 2.1414e-05 - val_loss: 1.1120e-04\n",
+      "Epoch 59/150\n",
+      "9/9 [==============================] - 0s 653us/sample - loss: 6.6533e-05 - val_loss: 2.9480e-04\n",
+      "Epoch 60/150\n",
+      "9/9 [==============================] - 0s 757us/sample - loss: 1.2946e-04 - val_loss: 4.5168e-04\n",
+      "Epoch 61/150\n",
+      "9/9 [==============================] - 0s 637us/sample - loss: 1.7989e-04 - val_loss: 5.1229e-04\n",
+      "Epoch 62/150\n",
+      "9/9 [==============================] - 0s 730us/sample - loss: 1.9770e-04 - val_loss: 4.5904e-04\n",
+      "Epoch 63/150\n",
+      "9/9 [==============================] - 0s 937us/sample - loss: 1.7858e-04 - val_loss: 3.2337e-04\n",
+      "Epoch 64/150\n",
+      "9/9 [==============================] - 0s 700us/sample - loss: 1.3298e-04 - val_loss: 1.6517e-04\n",
+      "Epoch 65/150\n",
+      "9/9 [==============================] - 0s 627us/sample - loss: 7.9819e-05 - val_loss: 4.4961e-05\n",
+      "Epoch 66/150\n",
+      "9/9 [==============================] - 0s 643us/sample - loss: 3.8018e-05 - val_loss: 7.1273e-08\n",
+      "Epoch 67/150\n",
+      "9/9 [==============================] - 0s 677us/sample - loss: 1.9286e-05 - val_loss: 3.3234e-05\n",
+      "Epoch 68/150\n",
+      "9/9 [==============================] - 0s 758us/sample - loss: 2.4687e-05 - val_loss: 1.1639e-04\n",
+      "Epoch 69/150\n",
+      "9/9 [==============================] - 0s 804us/sample - loss: 4.5842e-05 - val_loss: 2.0612e-04\n",
+      "Epoch 70/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 6.9680e-05 - val_loss: 2.6295e-04\n",
+      "Epoch 71/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 8.4390e-05 - val_loss: 2.6638e-04\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 72/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 8.3969e-05 - val_loss: 2.1982e-04\n",
+      "Epoch 73/150\n",
+      "9/9 [==============================] - 0s 760us/sample - loss: 6.9725e-05 - val_loss: 1.4524e-04\n",
+      "Epoch 74/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.8517e-05 - val_loss: 7.1139e-05\n",
+      "Epoch 75/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.8984e-05 - val_loss: 1.9971e-05\n",
+      "Epoch 76/150\n",
+      "9/9 [==============================] - 0s 702us/sample - loss: 1.7681e-05 - val_loss: 4.1901e-07\n",
+      "Epoch 77/150\n",
+      "9/9 [==============================] - 0s 829us/sample - loss: 1.6708e-05 - val_loss: 6.7446e-06\n",
+      "Epoch 78/150\n",
+      "9/9 [==============================] - 0s 787us/sample - loss: 2.3608e-05 - val_loss: 2.4330e-05\n",
+      "Epoch 79/150\n",
+      "9/9 [==============================] - 0s 902us/sample - loss: 3.3171e-05 - val_loss: 3.7927e-05\n",
+      "Epoch 80/150\n",
+      "9/9 [==============================] - 0s 788us/sample - loss: 4.0075e-05 - val_loss: 3.8644e-05\n",
+      "Epoch 81/150\n",
+      "9/9 [==============================] - 0s 738us/sample - loss: 4.1130e-05 - val_loss: 2.6891e-05\n",
+      "Epoch 82/150\n",
+      "9/9 [==============================] - 0s 765us/sample - loss: 3.6244e-05 - val_loss: 1.0650e-05\n",
+      "Epoch 83/150\n",
+      "9/9 [==============================] - 0s 681us/sample - loss: 2.7940e-05 - val_loss: 5.3801e-07\n",
+      "Epoch 84/150\n",
+      "9/9 [==============================] - 0s 837us/sample - loss: 1.9829e-05 - val_loss: 4.2921e-06\n",
+      "Epoch 85/150\n",
+      "9/9 [==============================] - 0s 724us/sample - loss: 1.4882e-05 - val_loss: 2.3182e-05\n",
+      "Epoch 86/150\n",
+      "9/9 [==============================] - 0s 834us/sample - loss: 1.4241e-05 - val_loss: 5.1712e-05\n",
+      "Epoch 87/150\n",
+      "9/9 [==============================] - 0s 650us/sample - loss: 1.7021e-05 - val_loss: 8.0365e-05\n",
+      "Epoch 88/150\n",
+      "9/9 [==============================] - 0s 806us/sample - loss: 2.1027e-05 - val_loss: 9.9789e-05\n",
+      "Epoch 89/150\n",
+      "9/9 [==============================] - 0s 767us/sample - loss: 2.3939e-05 - val_loss: 1.0447e-04\n",
+      "Epoch 90/150\n",
+      "9/9 [==============================] - 0s 805us/sample - loss: 2.4364e-05 - val_loss: 9.4391e-05\n",
+      "Epoch 91/150\n",
+      "9/9 [==============================] - 0s 857us/sample - loss: 2.2300e-05 - val_loss: 7.4155e-05\n",
+      "Epoch 92/150\n",
+      "9/9 [==============================] - 0s 827us/sample - loss: 1.8895e-05 - val_loss: 5.0538e-05\n",
+      "Epoch 93/150\n",
+      "9/9 [==============================] - 0s 848us/sample - loss: 1.5732e-05 - val_loss: 2.9589e-05\n",
+      "Epoch 94/150\n",
+      "9/9 [==============================] - 0s 816us/sample - loss: 1.4025e-05 - val_loss: 1.4693e-05\n",
+      "Epoch 95/150\n",
+      "9/9 [==============================] - 0s 844us/sample - loss: 1.4130e-05 - val_loss: 6.2074e-06\n",
+      "Epoch 96/150\n",
+      "9/9 [==============================] - 0s 812us/sample - loss: 1.5525e-05 - val_loss: 2.4471e-06\n",
+      "Epoch 97/150\n",
+      "9/9 [==============================] - 0s 849us/sample - loss: 1.7200e-05 - val_loss: 1.2896e-06\n",
+      "Epoch 98/150\n",
+      "9/9 [==============================] - 0s 846us/sample - loss: 1.8208e-05 - val_loss: 1.4842e-06\n",
+      "Epoch 99/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.8090e-05 - val_loss: 3.0926e-06\n",
+      "Epoch 100/150\n",
+      "9/9 [==============================] - 0s 894us/sample - loss: 1.7003e-05 - val_loss: 7.0144e-06\n",
+      "Epoch 101/150\n",
+      "9/9 [==============================] - 0s 662us/sample - loss: 1.5543e-05 - val_loss: 1.4011e-05\n",
+      "Epoch 102/150\n",
+      "9/9 [==============================] - 0s 873us/sample - loss: 1.4384e-05 - val_loss: 2.3845e-05\n",
+      "Epoch 103/150\n",
+      "9/9 [==============================] - 0s 752us/sample - loss: 1.3946e-05 - val_loss: 3.5000e-05\n",
+      "Epoch 104/150\n",
+      "9/9 [==============================] - 0s 780us/sample - loss: 1.4239e-05 - val_loss: 4.5095e-05\n",
+      "Epoch 105/150\n",
+      "9/9 [==============================] - 0s 728us/sample - loss: 1.4924e-05 - val_loss: 5.1775e-05\n",
+      "Epoch 106/150\n",
+      "9/9 [==============================] - 0s 751us/sample - loss: 1.5538e-05 - val_loss: 5.3581e-05\n",
+      "Epoch 107/150\n",
+      "9/9 [==============================] - 0s 872us/sample - loss: 1.5739e-05 - val_loss: 5.0439e-05\n",
+      "Epoch 108/150\n",
+      "9/9 [==============================] - 0s 752us/sample - loss: 1.5450e-05 - val_loss: 4.3548e-05\n",
+      "Epoch 109/150\n",
+      "9/9 [==============================] - 0s 834us/sample - loss: 1.4853e-05 - val_loss: 3.4826e-05\n",
+      "Epoch 110/150\n",
+      "9/9 [==============================] - 0s 739us/sample - loss: 1.4254e-05 - val_loss: 2.6189e-05\n",
+      "Epoch 111/150\n",
+      "9/9 [==============================] - 0s 799us/sample - loss: 1.3909e-05 - val_loss: 1.8987e-05\n",
+      "Epoch 112/150\n",
+      "9/9 [==============================] - 0s 710us/sample - loss: 1.3907e-05 - val_loss: 1.3828e-05\n",
+      "Epoch 113/150\n",
+      "9/9 [==============================] - 0s 787us/sample - loss: 1.4151e-05 - val_loss: 1.0715e-05\n",
+      "Epoch 114/150\n",
+      "9/9 [==============================] - 0s 724us/sample - loss: 1.4444e-05 - val_loss: 9.3657e-06\n",
+      "Epoch 115/150\n",
+      "9/9 [==============================] - 0s 822us/sample - loss: 1.4601e-05 - val_loss: 9.5118e-06\n",
+      "Epoch 116/150\n",
+      "9/9 [==============================] - 0s 716us/sample - loss: 1.4541e-05 - val_loss: 1.0992e-05\n",
+      "Epoch 117/150\n",
+      "9/9 [==============================] - 0s 763us/sample - loss: 1.4311e-05 - val_loss: 1.3683e-05\n",
+      "Epoch 118/150\n",
+      "9/9 [==============================] - 0s 676us/sample - loss: 1.4039e-05 - val_loss: 1.7335e-05\n",
+      "Epoch 119/150\n",
+      "9/9 [==============================] - 0s 769us/sample - loss: 1.3853e-05 - val_loss: 2.1458e-05\n",
+      "Epoch 120/150\n",
+      "9/9 [==============================] - 0s 744us/sample - loss: 1.3817e-05 - val_loss: 2.5355e-05\n",
+      "Epoch 121/150\n",
+      "9/9 [==============================] - 0s 812us/sample - loss: 1.3908e-05 - val_loss: 2.8282e-05\n",
+      "Epoch 122/150\n",
+      "9/9 [==============================] - 0s 831us/sample - loss: 1.4042e-05 - val_loss: 2.9683e-05\n",
+      "Epoch 123/150\n",
+      "9/9 [==============================] - 0s 824us/sample - loss: 1.4130e-05 - val_loss: 2.9355e-05\n",
+      "Epoch 124/150\n",
+      "9/9 [==============================] - 0s 940us/sample - loss: 1.4123e-05 - val_loss: 2.7500e-05\n",
+      "Epoch 125/150\n",
+      "9/9 [==============================] - 0s 780us/sample - loss: 1.4033e-05 - val_loss: 2.4626e-05\n",
+      "Epoch 126/150\n",
+      "9/9 [==============================] - 0s 929us/sample - loss: 1.3915e-05 - val_loss: 2.1358e-05\n",
+      "Epoch 127/150\n",
+      "9/9 [==============================] - 0s 851us/sample - loss: 1.3829e-05 - val_loss: 1.8274e-05\n",
+      "Epoch 128/150\n",
+      "9/9 [==============================] - 0s 832us/sample - loss: 1.3808e-05 - val_loss: 1.5773e-05\n",
+      "Epoch 129/150\n",
+      "9/9 [==============================] - 0s 785us/sample - loss: 1.3846e-05 - val_loss: 1.4073e-05\n",
+      "Epoch 130/150\n",
+      "9/9 [==============================] - 0s 826us/sample - loss: 1.3907e-05 - val_loss: 1.3231e-05\n",
+      "Epoch 131/150\n",
+      "9/9 [==============================] - 0s 725us/sample - loss: 1.3948e-05 - val_loss: 1.3223e-05\n",
+      "Epoch 132/150\n",
+      "9/9 [==============================] - 0s 875us/sample - loss: 1.3947e-05 - val_loss: 1.3963e-05\n",
+      "Epoch 133/150\n",
+      "9/9 [==============================] - 0s 760us/sample - loss: 1.3907e-05 - val_loss: 1.5319e-05\n",
+      "Epoch 134/150\n",
+      "9/9 [==============================] - 0s 906us/sample - loss: 1.3854e-05 - val_loss: 1.7093e-05\n",
+      "Epoch 135/150\n",
+      "9/9 [==============================] - 0s 788us/sample - loss: 1.3816e-05 - val_loss: 1.9014e-05\n",
+      "Epoch 136/150\n",
+      "9/9 [==============================] - 0s 836us/sample - loss: 1.3807e-05 - val_loss: 2.0776e-05\n",
+      "Epoch 137/150\n",
+      "9/9 [==============================] - 0s 773us/sample - loss: 1.3824e-05 - val_loss: 2.2088e-05\n",
+      "Epoch 138/150\n",
+      "9/9 [==============================] - 0s 869us/sample - loss: 1.3851e-05 - val_loss: 2.2753e-05\n",
+      "Epoch 139/150\n",
+      "9/9 [==============================] - 0s 805us/sample - loss: 1.3867e-05 - val_loss: 2.2706e-05\n",
+      "Epoch 140/150\n",
+      "9/9 [==============================] - 0s 886us/sample - loss: 1.3864e-05 - val_loss: 2.2028e-05\n",
+      "Epoch 141/150\n",
+      "9/9 [==============================] - 0s 749us/sample - loss: 1.3844e-05 - val_loss: 2.0913e-05\n",
+      "Epoch 142/150\n",
+      "9/9 [==============================] - 0s 856us/sample - loss: 1.3819e-05 - val_loss: 1.9607e-05\n",
+      "Epoch 143/150\n",
+      "9/9 [==============================] - 0s 775us/sample - loss: 1.3803e-05 - val_loss: 1.8352e-05\n",
+      "Epoch 144/150\n",
+      "9/9 [==============================] - 0s 868us/sample - loss: 1.3801e-05 - val_loss: 1.7341e-05\n",
+      "Epoch 145/150\n",
+      "9/9 [==============================] - 0s 795us/sample - loss: 1.3810e-05 - val_loss: 1.6697e-05\n",
+      "Epoch 146/150\n",
+      "9/9 [==============================] - 0s 895us/sample - loss: 1.3821e-05 - val_loss: 1.6475e-05\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 147/150\n",
+      "9/9 [==============================] - 0s 745us/sample - loss: 1.3827e-05 - val_loss: 1.6673e-05\n",
+      "Epoch 148/150\n",
+      "9/9 [==============================] - 0s 909us/sample - loss: 1.3823e-05 - val_loss: 1.7234e-05\n",
+      "Epoch 149/150\n",
+      "9/9 [==============================] - 0s 747us/sample - loss: 1.3812e-05 - val_loss: 1.8055e-05\n",
+      "Epoch 150/150\n",
+      "9/9 [==============================] - 0s 832us/sample - loss: 1.3802e-05 - val_loss: 1.9003e-05\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE:  0.00013756163733796297\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time:  2.689994057873264\n"
+     ]
+    }
+   ],
    "source": [
     "def test_rnn (x1, y_test, plot_min, plot_max):\n",
     "    \"\"\"\n",
@@ -1139,11 +2238,373 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"model_1\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "input_2 (InputLayer)         [(None, 2, 1)]            0         \n",
+      "_________________________________________________________________\n",
+      "RNN1 (SimpleRNN)             (None, 2, 500)            251000    \n",
+      "_________________________________________________________________\n",
+      "RNN2 (SimpleRNN)             (None, 500)               500500    \n",
+      "_________________________________________________________________\n",
+      "dense (Dense)                (None, 1)                 501       \n",
+      "=================================================================\n",
+      "Total params: 752,001\n",
+      "Trainable params: 752,001\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n",
+      "Train on 9 samples, validate on 1 samples\n",
+      "Epoch 1/150\n",
+      "9/9 [==============================] - 1s 123ms/sample - loss: 3.0983 - val_loss: 2.6331\n",
+      "Epoch 2/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.2368 - val_loss: 1.3642\n",
+      "Epoch 3/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.5814 - val_loss: 0.0494\n",
+      "Epoch 4/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.0840 - val_loss: 2.0500\n",
+      "Epoch 5/150\n",
+      "9/9 [==============================] - 0s 4ms/sample - loss: 1.0542 - val_loss: 3.3454\n",
+      "Epoch 6/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 2.0113 - val_loss: 2.2591\n",
+      "Epoch 7/150\n",
+      "9/9 [==============================] - 0s 4ms/sample - loss: 1.2031 - val_loss: 0.6653\n",
+      "Epoch 8/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.1947 - val_loss: 0.0098\n",
+      "Epoch 9/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.1489 - val_loss: 0.1562\n",
+      "Epoch 10/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.7153 - val_loss: 0.3025\n",
+      "Epoch 11/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.9929 - val_loss: 0.1518\n",
+      "Epoch 12/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.7057 - val_loss: 3.5748e-04\n",
+      "Epoch 13/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.2392 - val_loss: 0.1841\n",
+      "Epoch 14/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0423 - val_loss: 0.6776\n",
+      "Epoch 15/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.2011 - val_loss: 1.1314\n",
+      "Epoch 16/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.4506 - val_loss: 1.2257\n",
+      "Epoch 17/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.5082 - val_loss: 0.9414\n",
+      "Epoch 18/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.3401 - val_loss: 0.5070\n",
+      "Epoch 19/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.1250 - val_loss: 0.1690\n",
+      "Epoch 20/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0424 - val_loss: 0.0213\n",
+      "Epoch 21/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.1198 - val_loss: 5.4215e-04\n",
+      "Epoch 22/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.2425 - val_loss: 0.0044\n",
+      "Epoch 23/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.2828 - val_loss: 1.5660e-04\n",
+      "Epoch 24/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.2116 - val_loss: 0.0329\n",
+      "Epoch 25/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.1010 - val_loss: 0.1533\n",
+      "Epoch 26/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0432 - val_loss: 0.3467\n",
+      "Epoch 27/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0694 - val_loss: 0.5287\n",
+      "Epoch 28/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.1341 - val_loss: 0.6064\n",
+      "Epoch 29/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.1681 - val_loss: 0.5469\n",
+      "Epoch 30/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.1419 - val_loss: 0.3942\n",
+      "Epoch 31/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0838 - val_loss: 0.2281\n",
+      "Epoch 32/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0450 - val_loss: 0.1080\n",
+      "Epoch 33/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0511 - val_loss: 0.0472\n",
+      "Epoch 34/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0847 - val_loss: 0.0279\n",
+      "Epoch 35/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.1079 - val_loss: 0.0341\n",
+      "Epoch 36/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0991 - val_loss: 0.0675\n",
+      "Epoch 37/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0688 - val_loss: 0.1359\n",
+      "Epoch 38/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0450 - val_loss: 0.2315\n",
+      "Epoch 39/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0454 - val_loss: 0.3231\n",
+      "Epoch 40/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0631 - val_loss: 0.3727\n",
+      "Epoch 41/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0771 - val_loss: 0.3605\n",
+      "Epoch 42/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0735 - val_loss: 0.2975\n",
+      "Epoch 43/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0570 - val_loss: 0.2149\n",
+      "Epoch 44/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0436 - val_loss: 0.1435\n",
+      "Epoch 45/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0439 - val_loss: 0.0983\n",
+      "Epoch 46/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0539 - val_loss: 0.0804\n",
+      "Epoch 47/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0614 - val_loss: 0.0862\n",
+      "Epoch 48/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0586 - val_loss: 0.1140\n",
+      "Epoch 49/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0492 - val_loss: 0.1606\n",
+      "Epoch 50/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0424 - val_loss: 0.2154\n",
+      "Epoch 51/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0436 - val_loss: 0.2601\n",
+      "Epoch 52/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0496 - val_loss: 0.2780\n",
+      "Epoch 53/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0529 - val_loss: 0.2635\n",
+      "Epoch 54/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0501 - val_loss: 0.2255\n",
+      "Epoch 55/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0446 - val_loss: 0.1806\n",
+      "Epoch 56/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0418 - val_loss: 0.1436\n",
+      "Epoch 57/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0437 - val_loss: 0.1223\n",
+      "Epoch 58/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0471 - val_loss: 0.1186\n",
+      "Epoch 59/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0478 - val_loss: 0.1314\n",
+      "Epoch 60/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0453 - val_loss: 0.1572\n",
+      "Epoch 61/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0424 - val_loss: 0.1892\n",
+      "Epoch 62/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0419 - val_loss: 0.2171\n",
+      "Epoch 63/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0437 - val_loss: 0.2310\n",
+      "Epoch 64/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0452 - val_loss: 0.2264\n",
+      "Epoch 65/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0447 - val_loss: 0.2069\n",
+      "Epoch 66/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0428 - val_loss: 0.1810\n",
+      "Epoch 67/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0417 - val_loss: 0.1581\n",
+      "Epoch 68/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0423 - val_loss: 0.1443\n",
+      "Epoch 69/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0434 - val_loss: 0.1421\n",
+      "Epoch 70/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0436 - val_loss: 0.1510\n",
+      "Epoch 71/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0427 - val_loss: 0.1677\n",
+      "Epoch 72/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0418 - val_loss: 0.1869\n",
+      "Epoch 73/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0418 - val_loss: 0.2019\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 74/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0424 - val_loss: 0.2075\n",
+      "Epoch 75/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0428 - val_loss: 0.2022\n",
+      "Epoch 76/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0424 - val_loss: 0.1890\n",
+      "Epoch 77/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0418 - val_loss: 0.1736\n",
+      "Epoch 78/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0416 - val_loss: 0.1613\n",
+      "Epoch 79/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0419 - val_loss: 0.1556\n",
+      "Epoch 80/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0422 - val_loss: 0.1576\n",
+      "Epoch 81/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0421 - val_loss: 0.1659\n",
+      "Epoch 82/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0417 - val_loss: 0.1775\n",
+      "Epoch 83/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0415 - val_loss: 0.1880\n",
+      "Epoch 84/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0416 - val_loss: 0.1937\n",
+      "Epoch 85/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0419 - val_loss: 0.1928\n",
+      "Epoch 86/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0418 - val_loss: 0.1861\n",
+      "Epoch 87/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0416 - val_loss: 0.1768\n",
+      "Epoch 88/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0414 - val_loss: 0.1684\n",
+      "Epoch 89/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0415 - val_loss: 0.1638\n",
+      "Epoch 90/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0416 - val_loss: 0.1642\n",
+      "Epoch 91/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.0416 - val_loss: 0.1688\n",
+      "Epoch 92/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0414 - val_loss: 0.1758\n",
+      "Epoch 93/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0413 - val_loss: 0.1824\n",
+      "Epoch 94/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0414 - val_loss: 0.1860\n",
+      "Epoch 95/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0414 - val_loss: 0.1855\n",
+      "Epoch 96/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0414 - val_loss: 0.1815\n",
+      "Epoch 97/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0413 - val_loss: 0.1757\n",
+      "Epoch 98/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0413 - val_loss: 0.1706\n",
+      "Epoch 99/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0413 - val_loss: 0.1680\n",
+      "Epoch 100/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0413 - val_loss: 0.1685\n",
+      "Epoch 101/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0413 - val_loss: 0.1717\n",
+      "Epoch 102/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0412 - val_loss: 0.1761\n",
+      "Epoch 103/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0412 - val_loss: 0.1799\n",
+      "Epoch 104/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0412 - val_loss: 0.1815\n",
+      "Epoch 105/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0412 - val_loss: 0.1805\n",
+      "Epoch 106/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0412 - val_loss: 0.1776\n",
+      "Epoch 107/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0411 - val_loss: 0.1739\n",
+      "Epoch 108/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0411 - val_loss: 0.1711\n",
+      "Epoch 109/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0411 - val_loss: 0.1701\n",
+      "Epoch 110/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0411 - val_loss: 0.1712\n",
+      "Epoch 111/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0411 - val_loss: 0.1736\n",
+      "Epoch 112/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0410 - val_loss: 0.1763\n",
+      "Epoch 113/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0410 - val_loss: 0.1781\n",
+      "Epoch 114/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0410 - val_loss: 0.1783\n",
+      "Epoch 115/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0410 - val_loss: 0.1769\n",
+      "Epoch 116/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0410 - val_loss: 0.1747\n",
+      "Epoch 117/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0409 - val_loss: 0.1725\n",
+      "Epoch 118/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0409 - val_loss: 0.1714\n",
+      "Epoch 119/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0409 - val_loss: 0.1715\n",
+      "Epoch 120/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0409 - val_loss: 0.1728\n",
+      "Epoch 121/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0409 - val_loss: 0.1745\n",
+      "Epoch 122/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0408 - val_loss: 0.1758\n",
+      "Epoch 123/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0408 - val_loss: 0.1762\n",
+      "Epoch 124/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0408 - val_loss: 0.1756\n",
+      "Epoch 125/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0408 - val_loss: 0.1742\n",
+      "Epoch 126/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0408 - val_loss: 0.1727\n",
+      "Epoch 127/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0408 - val_loss: 0.1718\n",
+      "Epoch 128/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0407 - val_loss: 0.1717\n",
+      "Epoch 129/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0407 - val_loss: 0.1724\n",
+      "Epoch 130/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0407 - val_loss: 0.1734\n",
+      "Epoch 131/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0407 - val_loss: 0.1743\n",
+      "Epoch 132/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0407 - val_loss: 0.1746\n",
+      "Epoch 133/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0406 - val_loss: 0.1742\n",
+      "Epoch 134/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0406 - val_loss: 0.1733\n",
+      "Epoch 135/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0406 - val_loss: 0.1723\n",
+      "Epoch 136/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0406 - val_loss: 0.1717\n",
+      "Epoch 137/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0406 - val_loss: 0.1716\n",
+      "Epoch 138/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0405 - val_loss: 0.1720\n",
+      "Epoch 139/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0405 - val_loss: 0.1727\n",
+      "Epoch 140/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0405 - val_loss: 0.1732\n",
+      "Epoch 141/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0405 - val_loss: 0.1733\n",
+      "Epoch 142/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0405 - val_loss: 0.1729\n",
+      "Epoch 143/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0404 - val_loss: 0.1723\n",
+      "Epoch 144/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0404 - val_loss: 0.1717\n",
+      "Epoch 145/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0404 - val_loss: 0.1713\n",
+      "Epoch 146/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0404 - val_loss: 0.1712\n",
+      "Epoch 147/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0404 - val_loss: 0.1715\n",
+      "Epoch 148/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0403 - val_loss: 0.1719\n",
+      "Epoch 149/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0403 - val_loss: 0.1721\n",
+      "Epoch 150/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0403 - val_loss: 0.1721\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE:  0.33065482509314414\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time:  4.063339866930619\n"
+     ]
+    }
+   ],
    "source": [
     "def rnn_2layers(length_of_sequences, batch_size = None, stateful = False):\n",
     "    \"\"\"\n",
@@ -1257,11 +2718,414 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"model_2\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "input_3 (InputLayer)         [(None, 2, 1)]            0         \n",
+      "_________________________________________________________________\n",
+      "dnn (Dense)                  (None, 2, 125)            250       \n",
+      "_________________________________________________________________\n",
+      "dnn1 (Dense)                 (None, 2, 125)            15750     \n",
+      "_________________________________________________________________\n",
+      "RNN1 (GRU)                   (None, 2, 250)            282750    \n",
+      "_________________________________________________________________\n",
+      "RNN (GRU)                    (None, 250)               376500    \n",
+      "_________________________________________________________________\n",
+      "dense (Dense)                (None, 1)                 251       \n",
+      "=================================================================\n",
+      "Total params: 675,501\n",
+      "Trainable params: 675,501\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n",
+      "Train on 9 samples, validate on 1 samples\n",
+      "Epoch 1/150\n",
+      "9/9 [==============================] - 3s 300ms/sample - loss: 0.2430 - val_loss: 0.5644\n",
+      "Epoch 2/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.1736 - val_loss: 0.3869\n",
+      "Epoch 3/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.1127 - val_loss: 0.2206\n",
+      "Epoch 4/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.0582 - val_loss: 0.0794\n",
+      "Epoch 5/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.0169 - val_loss: 0.0029\n",
+      "Epoch 6/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.0054 - val_loss: 0.0260\n",
+      "Epoch 7/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0324 - val_loss: 0.0504\n",
+      "Epoch 8/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.0467 - val_loss: 0.0285\n",
+      "Epoch 9/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0328 - val_loss: 0.0034\n",
+      "Epoch 10/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.0135 - val_loss: 0.0040\n",
+      "Epoch 11/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0039 - val_loss: 0.0287\n",
+      "Epoch 12/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0058 - val_loss: 0.0605\n",
+      "Epoch 13/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0131 - val_loss: 0.0829\n",
+      "Epoch 14/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0194 - val_loss: 0.0883\n",
+      "Epoch 15/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0212 - val_loss: 0.0779\n",
+      "Epoch 16/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0183 - val_loss: 0.0572\n",
+      "Epoch 17/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0127 - val_loss: 0.0335\n",
+      "Epoch 18/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0068 - val_loss: 0.0136\n",
+      "Epoch 19/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0030 - val_loss: 0.0024\n",
+      "Epoch 20/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0027 - val_loss: 1.2379e-04\n",
+      "Epoch 21/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0051 - val_loss: 0.0028\n",
+      "Epoch 22/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0080 - val_loss: 0.0047\n",
+      "Epoch 23/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0090 - val_loss: 0.0034\n",
+      "Epoch 24/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0072 - val_loss: 7.9357e-04\n",
+      "Epoch 25/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0041 - val_loss: 1.8172e-04\n",
+      "Epoch 26/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.0017 - val_loss: 0.0032\n",
+      "Epoch 27/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 9.8594e-04 - val_loss: 0.0086\n",
+      "Epoch 28/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 0.0019 - val_loss: 0.0134\n",
+      "Epoch 29/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0032 - val_loss: 0.0151\n",
+      "Epoch 30/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0039 - val_loss: 0.0131\n",
+      "Epoch 31/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0035 - val_loss: 0.0086\n",
+      "Epoch 32/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0023 - val_loss: 0.0038\n",
+      "Epoch 33/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 9.7638e-04 - val_loss: 6.2415e-04\n",
+      "Epoch 34/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 2.0486e-04 - val_loss: 1.2711e-04\n",
+      "Epoch 35/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.7897e-04 - val_loss: 0.0017\n",
+      "Epoch 36/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 9.3385e-04 - val_loss: 0.0035\n",
+      "Epoch 37/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0015 - val_loss: 0.0041\n",
+      "Epoch 38/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 0.0016 - val_loss: 0.0031\n",
+      "Epoch 39/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 0.0010 - val_loss: 0.0014\n",
+      "Epoch 40/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 3.8129e-04 - val_loss: 2.5618e-04\n",
+      "Epoch 41/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.2805e-05 - val_loss: 2.1215e-05\n",
+      "Epoch 42/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.0318e-04 - val_loss: 3.9185e-04\n",
+      "Epoch 43/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 5.8197e-04 - val_loss: 7.3479e-04\n",
+      "Epoch 44/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 8.3516e-04 - val_loss: 6.7143e-04\n",
+      "Epoch 45/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 7.9020e-04 - val_loss: 2.9473e-04\n",
+      "Epoch 46/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.1117e-04 - val_loss: 9.5914e-06\n",
+      "Epoch 47/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 2.0737e-04 - val_loss: 1.7466e-04\n",
+      "Epoch 48/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 6.4773e-05 - val_loss: 8.0023e-04\n",
+      "Epoch 49/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.3126e-04 - val_loss: 0.0015\n",
+      "Epoch 50/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 2.9796e-04 - val_loss: 0.0019\n",
+      "Epoch 51/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 4.0033e-04 - val_loss: 0.0016\n",
+      "Epoch 52/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 3.5189e-04 - val_loss: 0.0010\n",
+      "Epoch 53/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.9971e-04 - val_loss: 3.8061e-04\n",
+      "Epoch 54/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 6.4458e-05 - val_loss: 4.2287e-05\n",
+      "Epoch 55/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 3.0748e-05 - val_loss: 2.1912e-05\n",
+      "Epoch 56/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 9.1749e-05 - val_loss: 1.4746e-04\n",
+      "Epoch 57/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.7409e-04 - val_loss: 2.2298e-04\n",
+      "Epoch 58/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 2.0479e-04 - val_loss: 1.7109e-04\n",
+      "Epoch 59/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.6309e-04 - val_loss: 5.6148e-05\n",
+      "Epoch 60/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 8.5561e-05 - val_loss: 7.2680e-08\n",
+      "Epoch 61/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 2.9589e-05 - val_loss: 6.8893e-05\n",
+      "Epoch 62/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.8627e-05 - val_loss: 2.1753e-04\n",
+      "Epoch 63/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 6.9461e-05 - val_loss: 3.3156e-04\n",
+      "Epoch 64/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.0860e-04 - val_loss: 3.2681e-04\n",
+      "Epoch 65/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.1127e-04 - val_loss: 2.1422e-04\n",
+      "Epoch 66/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 7.8069e-05 - val_loss: 7.9475e-05\n",
+      "Epoch 67/150\n",
+      "9/9 [==============================] - 0s 3ms/sample - loss: 3.8544e-05 - val_loss: 5.6801e-06\n",
+      "Epoch 68/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 2.2280e-05 - val_loss: 1.1926e-05\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 69/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 3.5117e-05 - val_loss: 5.4203e-05\n",
+      "Epoch 70/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.8786e-05 - val_loss: 7.4794e-05\n",
+      "Epoch 71/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 6.9064e-05 - val_loss: 5.2614e-05\n",
+      "Epoch 72/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 5.7196e-05 - val_loss: 1.3840e-05\n",
+      "Epoch 73/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 3.4491e-05 - val_loss: 1.0025e-06\n",
+      "Epoch 74/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.8893e-05 - val_loss: 3.3034e-05\n",
+      "Epoch 75/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.9875e-05 - val_loss: 8.8878e-05\n",
+      "Epoch 76/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 3.1397e-05 - val_loss: 1.2737e-04\n",
+      "Epoch 77/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 3.9527e-05 - val_loss: 1.2254e-04\n",
+      "Epoch 78/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 3.5790e-05 - val_loss: 8.2120e-05\n",
+      "Epoch 79/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 2.3637e-05 - val_loss: 3.5632e-05\n",
+      "Epoch 80/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.3674e-05 - val_loss: 7.3105e-06\n",
+      "Epoch 81/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.2974e-05 - val_loss: 1.6392e-08\n",
+      "Epoch 82/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.9160e-05 - val_loss: 1.3448e-06\n",
+      "Epoch 83/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.4034e-05 - val_loss: 9.0552e-07\n",
+      "Epoch 84/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.2094e-05 - val_loss: 3.0385e-07\n",
+      "Epoch 85/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.5367e-05 - val_loss: 8.0188e-06\n",
+      "Epoch 86/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 9.9294e-06 - val_loss: 2.7247e-05\n",
+      "Epoch 87/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 9.2066e-06 - val_loss: 4.9869e-05\n",
+      "Epoch 88/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.2172e-05 - val_loss: 6.2256e-05\n",
+      "Epoch 89/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.4610e-05 - val_loss: 5.6833e-05\n",
+      "Epoch 90/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.3545e-05 - val_loss: 3.8028e-05\n",
+      "Epoch 91/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 9.8245e-06 - val_loss: 1.7565e-05\n",
+      "Epoch 92/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 6.6784e-06 - val_loss: 4.6333e-06\n",
+      "Epoch 93/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 6.2636e-06 - val_loss: 3.1352e-07\n",
+      "Epoch 94/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 7.8167e-06 - val_loss: 5.7957e-08\n",
+      "Epoch 95/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 8.8814e-06 - val_loss: 2.0652e-08\n",
+      "Epoch 96/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 7.9313e-06 - val_loss: 5.0479e-07\n",
+      "Epoch 97/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.6641e-06 - val_loss: 3.9630e-06\n",
+      "Epoch 98/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 3.9718e-06 - val_loss: 1.0759e-05\n",
+      "Epoch 99/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 3.8638e-06 - val_loss: 1.7641e-05\n",
+      "Epoch 100/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 4.6211e-06 - val_loss: 2.0309e-05\n",
+      "Epoch 101/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 4.8920e-06 - val_loss: 1.7200e-05\n",
+      "Epoch 102/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 4.0745e-06 - val_loss: 1.0651e-05\n",
+      "Epoch 103/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.8193e-06 - val_loss: 4.5502e-06\n",
+      "Epoch 104/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 2.1446e-06 - val_loss: 1.1548e-06\n",
+      "Epoch 105/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.3315e-06 - val_loss: 1.2338e-07\n",
+      "Epoch 106/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 2.7433e-06 - val_loss: 1.0219e-08\n",
+      "Epoch 107/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 2.6370e-06 - val_loss: 9.3971e-08\n",
+      "Epoch 108/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.9543e-06 - val_loss: 6.6622e-07\n",
+      "Epoch 109/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.2729e-06 - val_loss: 1.9608e-06\n",
+      "Epoch 110/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.1388e-06 - val_loss: 3.3764e-06\n",
+      "Epoch 111/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 1.3629e-06 - val_loss: 3.8900e-06\n",
+      "Epoch 112/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.5361e-06 - val_loss: 3.0788e-06\n",
+      "Epoch 113/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.3895e-06 - val_loss: 1.5539e-06\n",
+      "Epoch 114/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 1.0370e-06 - val_loss: 3.5336e-07\n",
+      "Epoch 115/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 7.8902e-07 - val_loss: 4.6299e-10\n",
+      "Epoch 116/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 7.9880e-07 - val_loss: 1.9660e-07\n",
+      "Epoch 117/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 9.3307e-07 - val_loss: 3.3801e-07\n",
+      "Epoch 118/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 9.6321e-07 - val_loss: 1.8860e-07\n",
+      "Epoch 119/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 8.2091e-07 - val_loss: 7.0632e-09\n",
+      "Epoch 120/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 6.4288e-07 - val_loss: 1.1217e-07\n",
+      "Epoch 121/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.9085e-07 - val_loss: 4.6195e-07\n",
+      "Epoch 122/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 6.7404e-07 - val_loss: 7.0872e-07\n",
+      "Epoch 123/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 7.6255e-07 - val_loss: 6.0457e-07\n",
+      "Epoch 124/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 7.4666e-07 - val_loss: 2.6607e-07\n",
+      "Epoch 125/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 6.4827e-07 - val_loss: 2.0327e-08\n",
+      "Epoch 126/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.7280e-07 - val_loss: 5.2852e-08\n",
+      "Epoch 127/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 5.8074e-07 - val_loss: 2.4961e-07\n",
+      "Epoch 128/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 6.3092e-07 - val_loss: 3.6680e-07\n",
+      "Epoch 129/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 6.4495e-07 - val_loss: 2.9368e-07\n",
+      "Epoch 130/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.9995e-07 - val_loss: 1.2594e-07\n",
+      "Epoch 131/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 5.4430e-07 - val_loss: 1.5208e-08\n",
+      "Epoch 132/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 5.3143e-07 - val_loss: 4.8301e-09\n",
+      "Epoch 133/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.5890e-07 - val_loss: 2.6517e-08\n",
+      "Epoch 134/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 5.7982e-07 - val_loss: 1.8501e-08\n",
+      "Epoch 135/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.6184e-07 - val_loss: 1.3788e-10\n",
+      "Epoch 136/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 5.2054e-07 - val_loss: 2.4350e-08\n",
+      "Epoch 137/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.9353e-07 - val_loss: 9.0819e-08\n",
+      "Epoch 138/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.9521e-07 - val_loss: 1.3683e-07\n",
+      "Epoch 139/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 5.0509e-07 - val_loss: 1.1353e-07\n",
+      "Epoch 140/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 4.9805e-07 - val_loss: 4.4824e-08\n",
+      "Epoch 141/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 4.7384e-07 - val_loss: 1.1381e-09\n",
+      "Epoch 142/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.5304e-07 - val_loss: 2.0549e-08\n",
+      "Epoch 143/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.4944e-07 - val_loss: 7.2969e-08\n",
+      "Epoch 144/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.5503e-07 - val_loss: 1.0051e-07\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 145/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 4.5281e-07 - val_loss: 7.9922e-08\n",
+      "Epoch 146/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 4.3790e-07 - val_loss: 3.6836e-08\n",
+      "Epoch 147/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.2103e-07 - val_loss: 7.2751e-09\n",
+      "Epoch 148/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.1376e-07 - val_loss: 1.9455e-11\n",
+      "Epoch 149/150\n",
+      "9/9 [==============================] - 0s 2ms/sample - loss: 4.1480e-07 - val_loss: 5.0494e-10\n",
+      "Epoch 150/150\n",
+      "9/9 [==============================] - 0s 1ms/sample - loss: 4.1410e-07 - val_loss: 1.5817e-10\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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HdeWVV0qSPv74YzVs2FC//vWv1b59+2iIru1e7dq106pVq6KlAy+//HKVMQ0ZMkS9evVSo0aNtHr16uh9HMeJBuRKP/vZz+Tz+bR48WJJkXKIRYsWVesMcrjat2+vZ599Vq7rqqysTC+88ILatm2r9evXq0ePHmrevLluvPFGXXvttVq3bl2tj3vBtm1NmTJFmzdvlnSgfKdJkyY6/fTTo+U95eXlWrp0aTScHsqGDRtUr169aF1ypUsuuURz586VJG3dulUrVqzQxRdfrLKyMt1xxx365ptvJEW6ZwSDQTVv3ly5ubl6++23tXPnTknS4sWLddZZZ8lxHC1dulQvvPCCJOnbb7/V4sWLlZubq44dO+q///2vPv74Y0nS+++/L8uydNJJJ+n555/XH//4R0mRWvkXX3xRPXr0kG3bGjNmjD788ENJ0hdffKH//Oc/Ovvss3X66adr2bJlKioqio7h+/Pwf//3f1VKKSq5rqsPPvigxudqUqdOHZ1zzjl66qmnJEW6elx99dV66623dPXVV2v+/PmaP3/+IUN05Ty/+uqr2r9/v8rKyjRv3jzP/gUDMBkr0gBq1L59ew0bNkxDhw6VZVmqU6eOHnnkEU/aZY0cOVIjRoxQIBBQnTp19Ktf/UqbNm36wfddeeWVeuyxx6IBoF27dvr73/+url27yrIsnXfeeWrYsGE0fB2sZcuWGjVqlIYMGaKsrKxoGzNJGjFihO6//3499NBD8vv9Ovfcc6Nj6tixo37/+99XuZff79djjz2myZMn6+GHH1YoFNKIESPUpk0bvffeezHPydixYzV58mTl5eWpvLxcHTp00E033aS0tDRddtll6tu3rwKBQLQFW6tWrWp8XNIhNxvWZt26dRo7dqzmz5+vFi1aaOzYsbr55psVCoXUpEmT6Ka4u+66S5MmTVLXrl3lOI4uuOAC3XDDDT94/6+//lonnnhitcdvvfVWTZgwQd27d1coFNKoUaOiresmT56sW2+9VZZlqV69enr88ceVmZmpTp06aevWrRo0aJDC4bCaNm0aDZLTp0/X+PHjo23exowZE90g++ijj+ree+9VcXGx0tLS9PDDDys9PV3Dhw/X6NGj1aNHD7muq9tuuy36Z+PRRx/Vfffdp2AwqLS0NE2fPl1NmjRR37599e2336pPnz5KS0vTiSeeWOXPyDfffBNtafd9O3fu1P79+2NaDZ4+fbomTZqkvLw8lZWVqUePHrr88ssP+/2S1KlTJ23YsEFXXnmlysvLdckll1T5FwcA8bHcH/r3RgAAAADVUNoBAAAAxIEgDQAAAMSBIA0AAADEgSANAAAAxIEgDQAAAMSBIA0AAADE4ZjuI71zZ5HC4SPfva9Rozravn3fEf/cVMIceoN59AbzmDjm0BvMozeYx8QxhwfYtqUGDbJqfO6YDtLhsHtUgnTlZyMxzKE3mEdvMI+JYw69wTx6g3lMHHP4wyjtAAAAAOJAkAYAAADicEyXdgAAAKAq13W1c2ehyspKJMVXnlFQYCscDns7sB81S2lpGWrQIFuWZR32uwjSAAAAKWTfvt2yLEuNG58ky4qv+MDnsxUMmhOkXTesXbu2ad++3apbt/5hv4/SDgAAgBRSXLxPdevWjztEm8iybNWt20DFxbF1KmGGAQAAUkg4HJLjUHQQK8fxKRwOxfQegjQAAECKiaXOFxHxzBlBGgAAAEnzz39+oFtuGX60h5EUBGkAAAAgDhTQAAAAIOk2bfpG998/RXv37lFGRqZuv/1/ddppZ2jx4oWaM+dvsm1bTZs21bhxk7R79y5NnDhOxcXFsm1Lv/nNKJ155llH+ytUQ5AGAABIUavWbdHKtVtifp9lSe4PtKBu3/oEtTvrhMO+56RJ4zRw4LW68MJO+vjjdRo79rd67rl5mjXrT5o58yk1aNBQjz76kDZt+lorVryjtm3b65prBuvdd1dr7dp/EaQBAABgnuLiYn333be68MJOkqQzzzxL9erV06ZN36hduw66+ebr1bHjRbrwwk469dSWKi4u1t13j9aGDZ+rbdv26tu331H+BjUjSAMAAKSodmfFtmpcyesDWVy3+r1cVwqFQrr99v/Vxo09tWbNSk2aNE5Dhw5Xbm43PfvsC1q9eqXeemuxXn99gR588DHPxuMVgjQAAACSKhDIUtOmJ+qdd5ZGSzt27Niun/2sufr3761HHpmpQYOuUzAY1IYNn+vLL7/Q8cfnqF+/q/Xzn/9SQ4cOONpfoUYEaQAAACTdPfdM0rRp9+kvf3lCfn+apky5X36/X9dff6Nuv32E0tPT1aBBA9199wSVlZXp3nvH6vXXF8i2bY0de+/RHn6NLNf9oVLyH6/t2/cpHD7yw8/OrqvCwr1H/HNTCXPoDebRG8xj4phDbzCP3jB9Hrdu/UZNmpyc0D28Lu04VtQ0d7ZtqVGjOjW+nj7SAAAAQBwI0gAAAEAcCNIAAABAHAjSAAAAQBwI0gAAAEAcCNIAAABAHAjSAAAAQBwI0gAAAEAcCNIAAAA46qZMmaDXX19wyNe0b//LIzSaw0OQjpEbDh3tIQAAAOBHwHe0B3AsCe8pUNHcu1R/+AOSjjvawwEAADik8g2rVP758pjfZ1mWXNc95Gv8LTvK36LdIV8zZswodenSVRdddIkkaejQgbr11pGaOfMxlZaWaO/efbrttpHq0OGimMZXUlKiqVMna+PGDbJtW/37D9Rll/XQxo1f6P77pygUCiktLU1jxozXCSc01e9+d6/+858vJUm9e1+pyy/vHdPn1YYgHQO3eI/khhTcXSjVI0gDAAAcSm5uN7355hu66KJLtHnzJpWVlemll+bqzjvH6eSTf6oPP3xfDz00PeYg/eSTT+i4447TM8+8oF27dmnYsCE69dSWeuGFOerff6A6deqsN974hz75ZJ22bSvUnj179NRTc7RtW6H+9KeHCdJHhR2ZLjcUPMoDAQAA+GH+Fu1+cNW4Jj6frWAwnPDnt23bXjNm3K/9+4u0ZMki5eZepn79rtHq1Sv09ttL9Mkn61RcXBzzfT/88APdeec4SVL9+vXVoUNHffTRh7rggnZ64IH79d57q9WuXUe1a9dB+/bt1aZN3+iOO25RmzbtNGLEbxL+XpWokY6F7UiS3DBBGgAA4If4/X61a9dBK1cu19Klb+rSS7tqxIhh+uyzT9SyZSsNHjz0B0tIauK64YOupVAoqIsv7qwnn3xWp512hl54YY6mT/+djjuuvp555gX17XuVNm36RkOHDtTevXs9+X4E6Vg4kSCtEBsOAQAADkdubjc9//yzOu64+goEAtq8+Rtdf/1NatOmnVaseEfhcOwr3+ee+yu99tp8SdKuXbu0YsUy/fznv9Q999ylzz77VL169dUNN9ykzz9fr5Ur39GkSfeobdv2uv32/1VmZqYKCvI9+W6UdsTAorQDAAAgJq1bn6N9+/apV68rVK/ecerRo6cGDeonn8+nc8/9lUpKSmIu77juuhv0hz9M1eDBVykcDmvw4KFq2bKVBg26TlOnTtZf/zpLPp9f//u/d6pFi1ZatmypBg3qp7S0NOXmdlPz5qd48t0sN5719B+J7dv3KRw+csMP79uuojn/T8d3u1mlJ51/xD43FWVn11VhoTf/rGIy5tEbzGPimENvMI/eMH0et279Rk2anJzQPbyqkT7W1DR3tm2pUaM6Nb6eFelYVKxIixppAAAAz5WWlujGG4fW+NwNN9yo9u0vPMIjOjSCdAysys2GlHYAAAB4Lj09Q3/965yjPYzDxmbDWDjUSAMAgB+/Y7hy96iJZ84I0rGo3GzIMeEAAOBHyudLU1HRHsJ0DFzXVVHRHvl8aTG9j9KOWFDaAQAAfuQaNMjWzp2F2rdvV9z3sG07rrZ0xzKfL00NGmTH9p4kjSUlWZYlWY5EkAYAAD9SjuPT8cefkNA9TO98crgo7YiV7XCyIQAAAAjSMXMcSjsAAABAkI6VZfs4IhwAAAAE6ZjZrEgDAACAIB07x0f7OwAAABCkY2Y7ckPlR3sUAAAAOMoI0jGybB+lHQAAACBIx8z2SZR2AAAAGI8gHSs2GwIAAEAE6ZhZbDYEAACACNKxszkiHAAAAATp2FHaAQAAABGkY0fXDgAAAIggHTPLduSGCdIAAACmI0jHyvFJITYbAgAAmI4gHStKOwAAACCCdMwsNhsCAABABOnYOT5qpAEAAECQjhl9pAEAACCCdOwo7QAAAIAI0jGzbI4IBwAAAEE6drYjhUNyXfdojwQAAABHEUE6Vo4v8pNVaQAAAKMRpGNk2U7kF3TuAAAAMBpBOlZ2xYo0Gw4BAACMRpCOVUVpBxsOAQAAzEaQjhWlHQAAABBBOmaWzWZDAAAAEKRjV7EizTHhAAAAZiNIx6qytCPEijQAAIDJCNIxsugjDQAAABGkY8dmQwAAAIggHTub9ncAAAAgSMcuWiPNijQAAIDJCNIxOlAjTZAGAAAwGUE6VpR2AAAAQATp2LHZEAAAACJIx4yTDQEAACARpGPnsNkQAAAABOnYUSMNAAAAEaRjR400AAAARJCOmRXtI82KNAAAgMkI0rFyKks7WJEGAAAwGUE6VnTtAAAAgAjSsbMqpowVaQAAAKMRpGNkWVakvIMVaQAAAKMRpONg2T659JEGAAAwGkE6Dpbjo7QDAADAcATpOFiUdgAAABiPIB0P25FLH2kAAACjEaTjQGkHAAAAkhqkFyxYoG7duqlLly6aPXt2tecfeeQRXXzxxerZs6d69uxZ42t+jCzHobQDAADAcL5k3Tg/P18zZszQvHnzlJaWpv79++v888/XKaecEn3Nxx9/rAceeEA///nPkzWMpLAcHycbAgAAGC5pK9KrV69WmzZtVL9+fQUCAeXm5mrhwoVVXvPxxx/riSeeUF5eniZOnKjS0tJkDcdbtl8uK9IAAABGS1qQLigoUHZ2dvQ6JydH+fn50euioiKddtppGjVqlF5++WXt2bNHjz32WLKG4ynLcST6SAMAABgtaaUd4XA4cgpgBdd1q1xnZWVp1qxZ0euhQ4dqzJgxGjly5GF/RqNGdbwZbIy+c3zyW1J2dt2j8vmpgvnzBvPoDeYxccyhN5hHbzCPiWMOf1jSgnSTJk30wQcfRK8LCwuVk5MTvf7uu++0evVqXXHFFZIiQdvni20427fvUzjsejPgGFi2o9LiYhUW7j3in50qsrPrMn8eYB69wTwmjjn0BvPoDeYxcczhAbZt1bp4m7TSjrZt22rNmjXasWOHiouLtXjxYnXs2DH6fEZGhqZNm6bNmzfLdV3Nnj1bl156abKG4y0OZAEAADBe0oJ048aNNXLkSA0ePFi9evVSjx491Lp1aw0bNkzr1q1Tw4YNNXHiRN18883q2rWrXNfVddddl6zheIo+0gAAAEhaaYck5eXlKS8vr8pj36+Lzs3NVW5ubjKHkBSW7ZM42RAAAMBonGwYh0gfaYI0AACAyQjS8aC0AwAAwHgE6ThYNn2kAQAATEeQjoNF1w4AAADjEaTj4fjkUtoBAABgNIJ0HGh/BwAAAIJ0HCyb0g4AAADTEaTjYDmO5Lpyw+GjPRQAAAAcJQTpOFhOxTk2lHcAAAAYiyAdD7sySFPeAQAAYCqCdBwqV6Tp3AEAAGAugnQcDpR2sCINAABgKoJ0PGwn8pPTDQEAAIxFkI4DK9IAAAAgSMeBGmkAAAAQpONgVXbtoLQDAADAWATpOFDaAQAAAIJ0PJzIZkOXIA0AAGAsgnQcONkQAAAABOk4WJxsCAAAYDyCdDwcNhsCAACYjiAdhwPt71iRBgAAMBVBOg5W5cmG1EgDAAAYiyAdB9rfAQAAgCAdB4saaQAAAOMRpONhc0Q4AACA6QjScaC0AwAAAATpOFgOmw0BAABMR5COR2X7uxAr0gAAAKYiSMfhQPs7gjQAAICpCNJxsGxHsixKOwAAAAxGkI6X7WNFGgAAwGAE6XjZjlz6SAMAABiLIB0ny/ZR2gEAAGAwgnS8HEo7AAAATEaQjpftcLIhAACAwQjS8WKzIQAAgNEI0nGybEdisyEAAICxCNLxchxWpAEAAAxGkI6X7ZNLkAYAADAWQTpetkP7OwAAAPCiITEAACAASURBVIMRpONksdkQAADAaATpeHGyIQAAgNEI0vFyONkQAADAZATpOFHaAQAAYDaCdLzoIw0AAGA0gnS8bIf2dwAAAAYjSMfJcijtAAAAMBlBOl70kQYAADAaQTpenGwIAABgNIJ0vNhsCAAAYDSCdJws+kgDAAAYjSAdr4o+0q7rHu2RAAAA4CggSMfLdiI/XeqkAQAATESQjpfti/xkwyEAAICRCNJxsipXpNlwCAAAYCSCdLycSJCmBR4AAICZCNLxorQDAADAaATpOFHaAQAAYDaCdLwcVqQBAABMRpCOl11ZI82KNAAAgIkI0vGK1kgTpAEAAExEkI6TxWZDAAAAoxGk41VZ2sFmQwAAACMRpOPFZkMAAACjEaTjFG1/R400AACAkQjS8aqskQ6xIg0AAGAignS8HNrfAQAAmIwgHa9oaQcr0gAAACYiSMeJ9ncAAABmI0jHi5MNAQAAjEaQjld0syFBGgAAwEQE6ThZ9JEGAAAwGkE6XvSRBgAAMBpBOl4VpR0cEQ4AAGAmgnS8aH8HAABgNIJ0nCzLkiyHIA0AAGAognQiHIf2dwAAAIYiSCfCZkUaAADAVATpBFi2jz7SAAAAhiJIJ8LxsSINAABgKIJ0ImxqpAEAAExFkE6EzYo0AACAqQjSCbBshxppAAAAQxGkE2H7KO0AAAAwFEE6EQ7t7wAAAExFkE6ARY00AACAsQjSieBAFgAAAGMRpBNhO3LZbAgAAGAkgnQibJ/EZkMAAAAjEaQTYHGyIQAAgLEI0ongZEMAAABjEaQTQdcOAAAAYxGkE8DJhgAAAOYiSCeCGmkAAABjEaQTQY00AACAsQjSibAdKcSKNAAAgImSGqQXLFigbt26qUuXLpo9e3atr1u2bJk6deqUzKEkhUUfaQAAAGP5knXj/Px8zZgxQ/PmzVNaWpr69++v888/X6ecckqV123btk1Tp05N1jCSy/FJbliuG5ZlsbgPAABgkqSlv9WrV6tNmzaqX7++AoGAcnNztXDhwmqvGzt2rG655ZZkDSO5bCfykw2HAAAAxknainRBQYGys7Oj1zk5OVq7dm2V1/ztb3/T6aefrrPPPjuuz2jUqE5CY0xEdnZd7aqXpR2Sjm+YKTst86iN5ViVnV33aA8hJTCP3mAeE8cceoN59AbzmDjm8IclLUiHw2FZlhW9dl23yvWGDRu0ePFi/fWvf9XWrVvj+ozt2/cpHHYTHmussrPrqrBwr8r2R+qjt+XvkpVBrXQsKucQiWEevcE8Jo459Abz6A3mMXHM4QG2bdW6eJu00o4mTZqosLAwel1YWKicnJzo9cKFC1VYWKi+fftq+PDhKigo0DXXXJOs4SSHE/n/EFrgAQAAmCdpQbpt27Zas2aNduzYoeLiYi1evFgdO3aMPn/bbbdp0aJFmj9/vmbOnKmcnBzNmTMnWcNJDmqkAQAAjJW0IN24cWONHDlSgwcPVq9evdSjRw+1bt1aw4YN07p165L1sUeUZVdUxhCkAQAAjJO0GmlJysvLU15eXpXHZs2aVe11J510kpYuXZrMoSRHxYo0pR0AAADmoflxIipLOzjdEAAAwDgE6QRYTmVpByvSAAAApiFIJ4IaaQAAAGMRpBNRWSMdYkUaAADANATpRDisSAMAAJiKIJ0AK9pHmhVpAAAA0xCkE2FzsiEAAICpCNKJYLMhAACAsQjSCbCcyj7SrEgDAACYhiCdCFakAQAAjEWQTkRF1w7a3wEAAJiHIJ0Ay+ZkQwAAAFMRpBNB+zsAAABjEaQTES3toEYaAADANATpRLAiDQAAYCyCdAIsy5Ysm/Z3AAAABiJIJ8r2cbIhAACAgQjSiXIc+kgDAAAYiCCdIMv2UdoBAABgIIJ0ohwfmw0BAAAMRJBOlO3jZEMAAAADEaQTZNnUSAMAAJiIIJ0oSjsAAACMRJBOFKUdAAAARiJIJ8rxUdoBAABgIIJ0giI10qxIAwAAmIYgnShKOwAAAIxEkE4Umw0BAACMRJBOUORkQ2qkAQAATEOQTpTtyGVFGgAAwDgE6URR2gEAAGAkgnSCLJv2dwAAACYiSCfK8Ul07QAAADAOQTpR1EgDAAAYiSCdKLp2AAAAGIkgnSCLzYYAAABGIkgnyvZJblhuOHy0RwIAAIAjiCCdKMeJ/GRVGgAAwCgE6QRZti/yC1rgAQAAGIUgnaiKIE3nDgAAALMQpBPlVKxI00saAADAKATpBFk2NdIAAAAmIkgnKroiTY00AACASQjSiaJGGgAAwEgE6QQd6NpBkAYAADAJQTpRlX2k2WwIAABgFIJ0oqKlHdRIAwAAmIQgnSja3wEAABiJIJ0gaqQBAADMRJBOVEUfabp2AAAAmIUgnSj6SAMAABiJIJ0gSjsAAADMRJBOFJsNAQAAjESQThQ10gAAAEYiSCfoQGkHNdIAAAAmIUgnitIOAAAAIxGkExU92ZAgDQAAYBKCdKIqaqRZkQYAADALQTpBlmVFwjQ10gAAAEYhSHvB9lHaAQAAYBiCtBccH6UdAAAAhiFIe8CyHU42BAAAMAxB2gu2T26IGmkAAACTEKS94PhYkQYAADAMQdoDlk2QBgAAMA1B2guOw2ZDAAAAwxCkvWD75NJHGgAAwCgEaQ9Q2gEAAGAegrQX6CMNAABgHIK0F2yHkw0BAAAMQ5D2gu2T6CMNAABgFIK0Byz6SAMAABiHIO0F20dpBwAAgGEI0l6gjzQAAIBxCNIeiLS/o0YaAADAJARpL9i0vwMAADANQdoLDjXSAAAApiFIe8CyHbp2AAAAGIYg7QUn0kfadd2jPRIAAAAcIQRpL9g+Sa7kho/2SAAAAHCEEKS9YPsiPynvAAAAMAZB2gOW40R+QecOAAAAYxCkvVCxIu3SSxoAAMAYBGkvOBWlHaxIAwAAGIMg7QGLGmkAAADjEKS9YEdqpDmUBQAAwBwEaS/YlZsNqZEGAAAwBUHaA5ZDaQcAAIBpCNJesNlsCAAAYBqCtBecyvZ3BGkAAABTEKS9EO3aQY00AACAKQjSHrBsTjYEAAAwDUHaC5R2AAAAGIcg7QU2GwIAABiHIO2BA+3vqJEGAAAwBUHaC5xsCAAAYJykBukFCxaoW7du6tKli2bPnl3t+TfffFN5eXnq3r277rzzTpWVlSVzOMlDaQcAAIBxkhak8/PzNWPGDM2ZM0evvPKK5s6dq40bN0af379/vyZOnKinnnpKr732mkpLS/Xyyy8nazhJxcmGAAAA5klakF69erXatGmj+vXrKxAIKDc3VwsXLow+HwgEtHTpUh1//PEqLi7W9u3bVa9evWQNJ7kqVqTdEDXSAAAApvAl68YFBQXKzs6OXufk5Gjt2rVVXuP3+/XOO+9o9OjRysnJUfv27WP6jEaN6ngy1nhkZ9eN/toNZWqfpKxMRw2+9zgOLZu58gTz6A3mMXHMoTeYR28wj4ljDn9Y0oJ0OByWZVnRa9d1q1xXuvDCC/Xee+/pgQce0IQJE/SHP/zhsD9j+/Z9CoddT8Ybi+zsuios3Bu9dt3IGIr2Fin4vcdRu4PnEPFhHr3BPCaOOfQG8+gN5jFxzOEBtm3VunibtNKOJk2aqLCwMHpdWFionJyc6PWuXbu0cuXK6HVeXp4+//zzZA0nqSzLipR3sNkQAADAGEkL0m3bttWaNWu0Y8cOFRcXa/HixerYsWP0edd1NWrUKH333XeSpIULF+rcc89N1nCSz/HJpY80AACAMZJW2tG4cWONHDlSgwcPVnl5ua644gq1bt1aw4YN02233aazzjpLkyZN0o033ijLsnTKKafo3nvvTdZwks926NoBAABgkKQFaSlSrpGXl1flsVmzZkV/3blzZ3Xu3DmZQzhiLNsn0bUDAADAGJxs6BXHx8mGAAAABiFIe8X2UdoBAABgEIK0RyzHoWsHAACAQQjSXrF9El07AAAAjEGQ9opNjTQAAIBJDitIb9u2TW+99ZYkadq0aRoyZIjWr1+f1IEdayyHA1kAAABMclhB+s4779TmzZu1Zs0arVixQj179tTkyZOTPbZji+1Q2gEAAGCQwwrSu3bt0rXXXqvly5erR48e6tOnj4qLi5M9tmOL45PLijQAAIAxDitIl5eXq7y8XCtWrFDbtm1VXFys/fv3J3tsxxSL9ncAAABGOawgfckll+iCCy5QgwYNdOaZZ+rKK69Ujx49kj22YwtHhAMAABjlsI4Iv+2229SvXz81btxYkjR9+nS1atUqqQM75jg+uRwRDgAAYIzD7trxySefyLIsTZs2Tb/73e/o2nEwSjsAAACMQtcOj1g27e8AAABMQtcOrzgOB7IAAAAYhK4dXuGIcAAAAKPQtcMjnGwIAABglpi6djRp0kQSXTtqVLHZ0HVdWZZ1tEcDAACAJDusIB0Oh7VgwQItX75cwWBQ7dq10ymnnCKf77Debgbbifx0Q5LFvAAAAKS6wyrt+MMf/qB3331XQ4YM0XXXXaePPvpI999/f7LHdkyxnIrwTC9pAAAAIxzW0umKFSv00ksvye/3S5IuuugiXX755RozZkxSB3dMsSumMhyUlH5UhwIAAIDkO6wVadd1oyFaktLS0qpcQ1LFirTLhkMAAAAjHFaQbtWqle677z5t2rRJmzdv1n333acWLVoke2zHlsoaaXpJAwAAGOGwgvT48eO1Z88eXX311erXr5927type+65J9ljO6ZY0dIOaqQBAABMcMga6by8vCrXDRs2lCStX79eAwcO1IIFC5I3smMNpR0AAABGOWSQHjdu3JEax7GvymZDAAAApLpDBunzzjvvSI3jmGc5FTXSrEgDAAAY4bBqpHEYKlakXWqkAQAAjECQ9gqlHQAAAEYhSHvkwMmGBGkAAAATEKS9woo0AACAUQjSXqnYbEj7OwAAADMQpD3CgSwAAABmIUh7hdIOAAAAoxCkvcLJhgAAAEYhSHvFrjiQhRVpAAAAIxCkPXKg/R010gAAACYgSHslerIhK9IAAAAmIEh7hc2GAAAARiFIe8SybcmyONkQAADAEARpL9k++kgDAAAYgiDtJdtH+zsAAABDEKQ9ZDk+aqQBAAAMQZD2ku0QpAEAAAxBkPaS45NLH2kAAAAjEKS9ZFPaAQAAYAqCtIcs20f7OwAAAEMQpL3kOJxsCAAAYAiCtJfoIw0AAGAMgrSHLIfSDgAAAFMQpL1k+yjtAAAAMARB2ku2Q2kHAACAIQjSHrJsh9IOAAAAQxCkvcQR4QAAAMYgSMcg7Lr6YH2BwmG35hfYPrmsSAMAABiBIB2DTfl79dgrH2vdl9tqfgHt7wAAAIxBkI6Bz45M17795TU+bzkOpR0AAACGIEjHICPdkSQVldQcpCntAAAAMAdBOgaBdJ8kaX9JLWGZzYYAAADGIEjHICMtEqSLa1mRtmyfFKJGGgAAwAQE6RjYtqV0v6Oi2lakbUdyQ3Ld8JEdGAAAAI44gnSMMtMd7a+tRtqJrFjTuQMAACD1EaRjlJnu0/7SmlekLbsiSLPhEAAAIOURpGOUkebT/mJWpAEAAExHkI5RIN2pdUVadqQ9nkvnDgAAgJRHkI5RRrqv1vZ3lHYAAACYgyAdo8w032FsNiRIAwAApDqCdIwyD7EirYoVaZde0gAAACmPIB2jzHRHxaVBhV23+pNOpEaaFWkAAIDUR5COUeXphiWl1VedozXSBGkAAICUR5COUSCjIkiX1RCWK0s7aH8HAACQ8gjSMcpIi5RvFNfUAs+hawcAAIApCNIxykyPhOXiGks7qJEGAAAwBUE6RtEgXVNpR3RFmtIOAACAVEeQjlHmoUo7ojXSrEgDAACkOoJ0jA6UdlQPy3TtAAAAMAdBOkaHqpGO9pFmsyEAAEDKI0jHKL2itIP2dwAAAGYjSMfItqzIMeGHbH9XfmQHBQAAgCOOIB2HrAzfoU82pLQDAAAg5RGk45CZ4T9k+zuXFWkAAICUR5COQyDDd8j2d3TtAAAASH0E6ThkZfhrPtnQsiJhmtIOAACAlEeQjkNmhq/mrh2S5Pgo7QAAADAAQToOWRn+mrt2SLIcPyvSAAAABiBIxyFQS9cOSZLjl0uQBgAASHkE6TgE0n0qLQ8pHHarP+n4pDClHQAAAKmOIB2HQKZfkmpsgWc5bDYEAAAwAUE6DoH0SJu7mlvg+dlsCAAAYACCdBwCGZEV6RrrpFmRBgAAMAJBOg6BjMiKdE2dOyzHx4EsAAAABiBIx6EySNfYS9qhtAMAAMAEBOk4VJZ21HS6IScbAgAAmIEgHYfKFemaNhvStQMAAMAMBOk4RFekKe0AAAAwFkE6Dhlpjiyr5tIONhsCAACYgSAdB8uylJnmq7mPtOOntAMAAMAASQ3SCxYsULdu3dSlSxfNnj272vNLlixRz549dfnll+vXv/61du/enczheCoz3VFJjQey+CjtAAAAMEDSgnR+fr5mzJihOXPm6JVXXtHcuXO1cePG6PP79u3ThAkTNHPmTL366qtq2bKlHn744WQNx3MZ6T4Vl9VS2sGKNAAAQMpLWpBevXq12rRpo/r16ysQCCg3N1cLFy6MPl9eXq7x48ercePGkqSWLVtqy5YtyRqO5zLTD1HaEQ7Kdd0jPygAAAAcMb5k3bigoEDZ2dnR65ycHK1duzZ63aBBA1166aWSpJKSEs2cOVODBg2K6TMaNarjzWDjcFyddO0uKlN2dt0qj++sl6UySdkNM2X5/EdncMeIg+cO8WEevcE8Jo459Abz6A3mMXHM4Q9LWpAOh8OyLCt67bpuletKe/fu1YgRI9SqVSv17t07ps/Yvn2fwuEjv/KbnV1XjiXtLSpTYeHeKs+VlUTKPQrzd8pKyzziYztWZGfXrTZ3iB3z6A3mMXHMoTeYR28wj4ljDg+wbavWxduklXY0adJEhYWF0evCwkLl5ORUeU1BQYGuueYatWzZUlOmTEnWUJKi1tIOO7IKzYZDAACA1Ja0IN22bVutWbNGO3bsUHFxsRYvXqyOHTtGnw+FQrrpppt02WWX6e67765xtfrHLDPNV3PXDqdikZ8gDQAAkNKSVtrRuHFjjRw5UoMHD1Z5ebmuuOIKtW7dWsOGDdNtt92mrVu36tNPP1UoFNKiRYskSWeeeeYxszKdke6oLBhWMBSWzznw/yOWU1EXTecOAACAlJa0IC1JeXl5ysvLq/LYrFmzJElnnXWW1q9fn8yPT6rM9MjUlZSFVCfzewv7TmVpB0EaAAAglXGyYZwy0yJBulqddGVpR5jSDgAAgFRGkI5TZrojqXqQtqI10qxIAwAApDKCdJwqSzuqr0jTtQMAAMAEBOk4RYP0QceEWzYr0gAAACYgSMcpIy1S2lGtBR5dOwAAAIxAkI5ToNbSjsjjLpsNAQAAUhpBOk4ZtZV2sNkQAADACATpOKX5bNmWxWZDAAAAQxGk42RZljLTnepBms2GAAAARiBIJyAz3afiUko7AAAATESQTkBGmk8lZbWUdrDZEAAAIKURpBMQqKm0gxVpAAAAIxCkE5BRU2mHZUuWQ5AGAABIcQTpBGSm+1R8cGmHJDk+unYAAACkOIJ0AiKbDWsO0qxIAwAApDaCdAIy05xqpR2SZDl+ic2GAAAAKY0gnYCMdJ+CobDKg+GqTzg+uaxIAwAApDSCdAICFceEH9wCz7Ip7QAAAEh1BOkEZKQ5klS9Ttrnl9hsCAAAkNII0gnIrFiRrlYnbfvp2gEAAJDiCNIJyKyttIOuHQAAACmPIJ2AzPRIacf+aqcb+uWGCdIAAACpjCCdgAOlHTUcE05pBwAAQEojSCegsmvH/hK6dgAAAJiGIJ2AQEZFkK6ptIMgDQAAkNII0glwbFvpaU61FWlKOwAAAFIfQTpBgXRf9dIOxyex2RAAACClEaQTlJXhU1HJQavPDn2kAQAAUh1BOkGBdF/1rh1sNgQAAEh5BOkEBTL8NZd2hIJyXfcojQoAAADJRpBOUCDDp6Jqmw39klzJDdX4HgAAABz7CNIJCqT7qrW/s5xIWzzKOwAAAFIXQTpBgQyfSkqDCn+/jMPxR34SpAEAAFIWQTpBgQy/XB10TLgdWZGmcwcAAEDqIkgnqKZjwintAAAASH0E6QRFjwn//obDitION8yKNAAAQKoiSCcoKxqkvxeaWZEGAABIeQTpBGVWlnaUUtoBAABgEoJ0gmou7UiTxGZDAACAVEaQTlBWRqQeusqhLKxIAwAApDyCdILS0xxZ1kGlHRXt78RmQwAAgJRFkE6QbVkKpPtUXFPXjiBBGgAAIFURpD0QyPCpqPRAaI5uNgxT2gEAAJCqCNIeCKT7D9psSI00AABAqiNIeyCQ4atSIx0t7aBrBwAAQMoiSHsgkOGrekS4zYo0AABAqiNIeyCQ7jvoZMPKFWmCNAAAQKoiSHsgK6OWGmna3wEAAKQsgrQHMjN8KguGVR4MS5Is25Esi9IOAACAFEaQ9kAgPbICXfz9DYe2n82GAAAAKYwg7YGsjEiQLqpSJ+1jRRoAACCFEaQ9EKgI0lWOCSdIAwAApDSCtAcC6ZEuHQcfE+6y2RAAACBlEaQ9EIiWdhzUuYMVaQAAgJRFkPZAjaUdtp8gDQAAkMII0h6o7Nqx/6DNhnTtAAAASF0EaQ+k+R35HLv6oSxhVqQBAABSFUHaI4EM30FdOyjtAAAASGUEaY8E0n0HrUhzIAsAAEAqI0h7JCvDV6VGmj7SAAAAqY0g7ZHMg0o7ZPskVqQBAABSFkHaIzWWdrDZEAAAIGURpD2SleGvciALpR0AAACpjSDtkUCGT8WlQbmuG3mAPtIAAAApjSDtkUC6T6Gwq7LycOQBx0+NNAAAQAojSHuk8pjwoorOHZZNaQcAAEAqI0h7JJDhl6QDnTscv+SG5YbDR3FUAAAASBaCtEcqV6SjnTucyLXClHcAAACkIoK0RwLpVYO0VRmkKe8AAABISQRpj0RXpEsrVqCdSKkHnTsAAABSE0HaI1kVNdKVvaQtmxVpAACAVEaQ9khmuiNJKj64RpogDQAAkJII0h5xbFvpaU7Vrh2SXDYbAgAApCSCtIeyMnwH+kizIg0AAJDSCNIeCqT7vtf+rnKzIUEaAAAgFRGkPRRI96m4srQjutmQ0g4AAIBURJD2UCDDf6BrB6UdAAAAKY0g7aFARg2lHWw2BAAASEkEaQ8F0n3VunawIg0AAJCaCNIeCmREaqTDYZfSDgAAgBRHkPZQoOJ0w+KyIEeEAwAApDiCtIcC6ZFV6P0lQU42BAAASHEEaQ9lZRwI0lZl+zs2GwIAAKQkgrSHAtEgXc6BLAAAACmOIO2hzMrSjtKgZDuRBwnSAAAAKYkg7aGsis2GRSVBWZYVqZNmsyEAAEBKIkh7KPC9GmlJku2nawcAAECKIkh7KCPNkWNbKiqJhGfL8VHaAQAAkKII0h6yLEtZGT4VFVesQjt+NhsCAACkKIK0x7Iy/dpXWdrh+Gh/BwAAkKII0h7LyvRHV6Qp7QAAAEhdBGmP1ck4EKTZbAgAAJC6CNIey8rwRTcbihVpAACAlEWQ9tj3a6QtxyeFCdIAAACpiCDtsaxMv0rLQgqGwhVdOyjtAAAASEUEaY/VqTiUpai4XLIp7QAAAEhVSQ3SCxYsULdu3dSlSxfNnj271teNHj1a8+bNS+ZQjpiszMgx4ftKgnTtAAAASGFJC9L5+fmaMWOG5syZo1deeUVz587Vxo0bq73mpptu0qJFi5I1jCMuKyMSpIuKyyntAAAASGFJC9KrV69WmzZtVL9+fQUCAeXm5mrhwoVVXrNgwQJdcskluuyyy5I1jCOuTuaBIG05fjYbAgAApChfsm5cUFCg7Ozs6HVOTo7Wrl1b5TU33HCDJOnDDz9M1jCOuKyKGul9JeW0vwMAAEhhSQvS4XBYlmVFr13XrXLthUaN6nh6v1hkZ9et8fGsuhmSJMtxFKgT0J5wsNbXmo558Qbz6A3mMXHMoTeYR28wj4ljDn9Y0oJ0kyZN9MEHH0SvCwsLlZOT4+lnbN++T+Gw6+k9D0d2dl0VFu6t8TnXdeXYlvK37VNxpis3WF7ra012qDnE4WMevcE8Jo459Abz6A3mMXHM4QG2bdW6eJu0Gum2bdtqzZo12rFjh4qLi7V48WJ17NgxWR/3o2FZVuR0w8r2d+GgXPfIh30AAAAkV9KCdOPGjTVy5EgNHjxYvXr1Uo8ePdS6dWsNGzZM69atS9bH/ihETzd0IhsP2XAIAACQepJW2iFJeXl5ysvLq/LYrFmzqr3u97//fTKHccRlZfgrunZUTG/oe6EaAAAAKYGTDZMgWtpREaTpJQ0AAJB6CNJJkJXpV1FJ+YFVaFrgAQAApByCdBLUqaiRtuyK0g5qpAEAAFIOQToJsjJ8Ki0LKWQ5kijtAAAASEUE6STIqjgmvDRUcQANQRoAACDlEKSTICsjEqSLg5VBmtIOAACAVEOQToI6FSvSJRVB+sdc2hHeU6CiF+9W8Lv1R3soAAAAxxSCdBJkZUY2GRZXLkT/SFek3XBIxW/PVHjntyr/+M2jPRwAAIBjCkE6CSpLO4rKKh74kQbpso/+oXD+RtmNmim46V9yS/Yd7SEBAAAcMwjSSVAZpPdXBGk3/OMr7Qjl///27jy+rqre+/hn733GnMxDkzSdmQotlPG2hcqklEJb4QX4CCoFEXxxHwXk+ojTfeFzuQhy5QpevfIMKugVvaiIXBABZRLaAhbhKdACpW06pJlzMp+cYe/1/HEyNG2SJqc5GeD7fr36Ss4+Z++9zkoC36ys9Vvvk/jbo/iOXE7o7M+D55J8/+XJbpaIiIjItKEgnQXhoINtWXQlTfrAFBuRNokYsef+D1akiNCKK3FKZmOXzCH53kuT3TQRERGRaUNBOgssyyIS9tHZNyI9xRYbxjf+EtPRSOicz2MFcgDwH70Cr6kat2XvJLdObRbATQAAIABJREFUREREZHpQkM6SSMhPR3zqjUi7zbtJvvsigSWr8VUe03/cd+QysByNSouIiIiMkoJ0lkTCPjp6pmCQbtwJgH/hmYOO2+F8fHNOILVtI8ZzJ6NpIiIiItOKgnSW5Ib8tPd4wNRabOi17AVfACuv9KDnfEevwMTacPe+NQktExEREZleFKSzJBL20z4FR6S9aA12URWWdfCX3jdnCVYwl+R76yehZSIiIiLTi4J0lkRCfjp7UuD4IJU49AkTxGvZi100a8jnLMeH78hlpKr/hol3TXDLRERERKYXBeksiYR9xBMu+EKYZM9kNwcAL9aOibXjFA8dpCFdvQMvRXLnpglsmYiIiMj0oyCdJbnh9KYsxhecOkG6t7SdPUKQtkvnYgVz8Rq2T1SzRERERKYlBeks6dvd0HOCMFWCdLQGALu4atjXWJaFXToHt2n3RDVLREREZFpSkM6SSNgHgGtPpRHpPVihPKxwwYivs0vm4EX3Yryps0hSREREZKpRkM6SvhHppO3HJKZGkHZb9vZW7LBGfJ1TMgfcFF5r3QS1TERERGT6UZDOkr450kkCU2JqhzEeXnTfiPOj+9glcwHwmjW9Q0RERGQ4CtJZ0jciHcc/JaZ2mI5mSPaMLkgXVoDjw1WQFhERERmWgnSWhIMOtmXR4/kxydhkNwcvmq7YMVLpuz6W7WAXz9aItIiIiMgIFKSzxLIsckI+Yp4Pkj0YYya1PW5f6bui4St27M8pmY3XtHvS2y0iIiIyVSlIZ1Fu2E+364Ax4E7u7oZeSw1WbglWIDyq19slczDxTkxXNMstExEREZmeFKSzKBL20eU6AJNeucNr2Tuq+dF9BhYc7spWk0RERESmNQXpLIqE/HQk00F6Mit3GDeF11o7qvnRfdKvtbTgUERERGQYCtJZFAn56Uj0jkhPYpD22urAuGMakbYCYayCGXja4VBERERkSArSWZQb9tOWSG9+MqlBun+h4eiDNKQ3ZtGItIiIiMjQFKSzKBL29Y9IM4kl8LyWvWA52IWVYzrPLpmD6WjEJLqz1DIRERGR6UtBOosiIT9x4wMmd7Gh27IXu7Acy/GN6TynZE76/OY92WiWiIiIyLSmIJ1FkbCPHpPe4XBSp3ZEa8Y8rQPSI9KgrcJFREREhqIgnUW5YT9x0kF6sqp2mEQM09E4poWGfaycQqxwvoK0iIiIyBAUpLNo0NSOSQrSXus+gMyCtGVha8GhiIiIyJAUpLMoEvZjsHFt/yQG6ToAnDEuNOzjlMzBa6nBeKnxbJaIiIjItKcgnUW5ofRotGsHYZIWG3qdzQBYuSUZnW+XzAEvhRetHc9miYiIiEx7CtJZFA76sC2LpBWYtBFp09mEFc7H8gUyOl8LDkVERESGpiCdRZZlkRfxk8CPmaQ60l5HM1Zuacbn2wUV4AQ0T1pERETkAArSWVYQCdBjfJNWtcPrbMLOy2xaB4Bl29iFlf2LFkVEREQkTUE6ywoiQWKub1KmdhjjYToPb0QawC6aiRdVkBYRERHZn4J0lhXkBuhKOZMTpGPt4KYOa0Qa0kHadDZjEpO3zbmIiIjIVKMgnWUFkQCdKWdSqnaYjiYA7HEYkQbwWlW5Q0RERKSPgnSWFUQC9Hh+vEkYke4vfZd3eEHaKaxKX0/zpEVERET6KUhnWUFukB58WKk4xniHfL0xHsY79OtGw+sfkT68qR1WfhnYPs2TFhEREdmPgnSWFUQCxI0//SAZP+Tre577v/T8+Yfjcm/T2QzBCFYgfFjXsWwHu7ACN1ozLu0SERER+SDwTXYDPujS5e/SQdokew4Zat269zCJGMYYLMs6rHt7HU2HPRrdxy6cidu4c1yuJSIiIvJBoBHpLMvfb0T6UJuymFQ8PYqc6MZ0tRz2vU1nM/Zhzo/uYxdVYTqaMKnEuFxPREREZLpTkM6yUMDBtXu35z5E5Q6vtW7g85a9ACRTHrF4asz3NcbgdTRhjdeIdFElYFS5Q0RERKSXgnSWWZaFL5SeznGoWtL7V8Vwe4P0L55+lzv+4zWMMWO7cbwLUvHDLn3Xx1blDhEREZFBFKQnQCAnAowiSEf3gWVhhQvwWvbgGcPr25qoaeqiITq2zVC8znTFjsMtfdfHLigHy1blDhEREZFeCtITIBhOB2kOOSJdi5U/A7tsHl7LXvbUd9IZSwLw5o7mMd2zv/TdYe5q2MdyfNgF5QrSIiIiIr0UpCdAODLKEenWWpzCmTjFs/Baa9myowFIV/54a+fYFh+ajnTwHq+pHZCu3OGpBJ6IiIgIoCA9IXLycgFwe7qHfY3xXLy2OuzCSuziWeC57Nuxg1llEU5dOIN3dkdJptxR39PrbAJfEIKRw25/H7toJl57A8ZNjts1RURERKYrBekJkJeXi2cs4t1dw77GtDeC52IXzcQung1Aomk3i+YXs3h+MYmkx3t720Z9T9PRhJ1Xeti1qPdnF1WB8fDa6sftmiIiIiLTlYL0BMjPDRI3PuLdw49Iu73VMOzCSuzCCozlUG5FWTS/mIVzivA5Fm+NYZ6019k8bqXv+thFM9PX1jxpEREREQXpiVAQCRDHT2qEqR3efkHasn10+Euo8rVy9KxCggGHo2cX8taO0c+T9sZxM5Y+dkEFWJbmSYuIiIigID0h+rYJd+PDl7DzWmuxcgqxAjkA7EkWMDvQSsDvALB4fgk1TV20tI+8YBHAJGIQ78Iax4WGAJYvgJU3Q7WkRURERFCQnhDpbcJ9eIkRgnS0tn/qRLQjzvauPPJMJyaenle9eEExwKiqd/TVkB6v0nf7c4pmamqHiIiICArSE8Ln2KSsAKSGHk02xuC17sMurARgS3UL+9wiYGCHw6rSCEV5wVHNkx4ofTf+QdoumonXVofxxr5tuYiIiMgHiYL0BPGcIFYqPuRzprsVkj39Qfrt6hY6/GXp83qDtGVZLJpfzJbqKK7njXyvcd7VcH924UzwXLz2hnG/toiIiMh0oiA9QYw/hOMNHaS91lqgd8MTY9hSHWXWvFkQyOkP0gDHLyihO55i576OEe/ldTSB48MK54/fG+hlF1Wl76HpHSIiIvIhpyA9QSx/CL+XGPK5vlBqF81kb0Mn7V0JFs0vwSmZjduyp/91x80rwrIOvV246S19Z1nj/+XtGzVXkBYREZEPOwXpCeIEwgRIYow56DmvdR8EwljhAt6uTi8mPG5eMXbRLLyWmv5zIiE/C2bm89bOkYO019E8rluD78/yB7HySgeNlIuIiIh8GClITxAnFMZneXR3Hzy9w2utTdePtize3d3KzN6FhXbxLEjGMJ0DwfnYucVU13UQTwy/XbjpbMpKxY4+Tslc3ObdWbu+iIiIyHSgID1BAuF0fej2toO3+fai+9KL+IB9TV3MnpELgFOS3irc2296x/zKPIyB3Q1Dz5M2qQQm1j7uNaT3Z5fOxbTVpetVi4iIiHxIKUhPkGBOBICu9s5Bx028CxNrwy6cScr1aG7vYUZhGBhY2OfuN41iXkV6AWF13TBBujN7pe/6OKVz0+3SqLSIiIh8iClIT5BQbnqUuatzcADuq9jhFFXS2BrDGCgvTgdpKxA+aD5yUV6QgkiA6tqhg7TXkb3Sd33s3iDtNVVn7R4iIiIiU52C9ATJ6QvSHV2Djg+UvqukviU9VaK8KKf/ead49qCpHQDzKvLYVT9ckG5MXy+bQTqnECunELdpV9buISIiIjLVKUhPkHAkPbUj3j14aocb3Qe2DyuvjIZoNwDlxQNBOr2TYD3GG1hcOLcij9qmLnoSB+8u6LXWgS+AFSnKxtsYaFfpXDwFaREREfkQU5CeIFYgPV0j0d096LjXug+7oALLdqiPxoiEfOSG/f3P2wUV4LmY3ikbAPMq8zHA7vrBoRzAa6vFLqjMSg3p/Tmlc/Fa92GG2a1RRERE5INOQXqCWP4QAMmeA4N0LXZRepOT+mg3M/ab1gH7bYDSOwUE0lM7YOgFh32l9LLNLp0LxuA17zn0i0VEREQ+gBSkJ4jlT49Ip+IDJeNMKo5pb+yvzlHfEutfaNhnqCBdmBukMDfArrr2Qa81qTimo3lCgrRTOg9A86RFRETkQ0tBeqL0jkjvX3s5HY4NdlEVyZRLS3vPoIWGAFYwghXOHxSkIV0G78ARaa+1Ln29CQjSVqQYK5SnedIiIiLyoaUgPUEsx4dnOZDqwfPSW357LTVAul50Q2sPBphRFD7oXLuwEq+tbtCxeRV51DV3E4sPLDjsrwBSNAFB2rKwS+dqRFpEREQ+tBSkJ5DrBAmSoqM7AYAXrQHbwS6YQUNLb8WOA0akAeyCyoNGpOdW5PUuOBwYlU6/xsLOL8+4jZ5n2L6vbVBAH45TOhcvuhfjJjO+n4iIiMh05ZvsBnyo+IIErSRtXQkKcoO40Zp0hQ3bR320t4Z08VAj0hWYng68ng7sUHqhYd+Cw111HRwzJ13qzmutxcorxfIFxty0RNJl/Vt1PP3qbuqjMUryQ1x/0SKOqCoY9hy7dC54Ll5LDU7ZvDHfU0RERGQ604j0RPKHCPUGaQAvug+7aCYADdFucsN+IiH/QacNLDgcmN5RkBukKC84aJ50JhU7PGN4bEM1/+NHG/iPp94lJ+Tj0+cdjWXBnb/4G0+8vAvPmCHPHVhwWD2me4qIiIh8EGhEegI5gTBBq5vWzjgmGcd0NGIfswKA+miM8iHmR8NAkDattVBxVP/xeRV5/UHaeB5eWx3+WYvG1KYX3tjHI3/ZwQlHlHDB0jkcPbsQy7JYvqicB558l98+v52t1S1ct3YR+ZHBI91WXhkEwlpwKCIiIh9KGpGeQE4oh6CVor0rgde6D2Cg9N0QNaT7WLml4Phwh5gnXdeSXnBoOpvBTY5pRLqtK8Fvn9/OwjmF3HTZCRwzpwjLsgDICfn5+4sWcdWqY3hvbxs/euTN/kWS/e2yLJwSLTgUERGRDycF6QnkBEKE7STRjnh6oSHpLcATSZeW9viQ86MBLNvGzq8YsgQepBcc9lfsGEOQfuiZbSRTLleef0x/gB50X8virBOrWHd+Okw/9dfdB73GLp2L17Ib4x16caKIiIjIB4mC9ETyh4k4Lm9XR3FbasD2YeeX09CaXmg4VOm7PnZhBV7bgUE6veBwZ23HwAj3KIP029UtvLylnguXzaWyJDLia09fXMHJR5fxyF92sKdh8LbkTulccFMHhXwRERGRDzoF6QlkBUKE7BT1Ld101+/CLqzAsh3qW3ordgwztQPSAdm0N2LcgZHf/EiA4vwgu3pHpK1QXn9Vj5EkUy6/eOpdZhSFWb187qHbbVmsW3UMOSE///exLSRT3kC7ehccTpd50iYVJ/HOC3T9/p/pfvJe3IYdk90kERERmaYUpCeQ5Q/h8+LYFqSaa/rnRze0Dl9Duo9dWAnGw2tvGHR8XkU+1bXtY6rY8YeNu6iPxrjy/GPw+5xRnZOfE+DqCxayt7GT3780ED7tggrwBab8PGmvs5melx+i88F/IP6X+yHZg1u/je7f30b3k/fgNlZPdhNFRERkmlHVjonkD4ExnDQnRLijDbswXfquviVGXo6fnNDwX46BEni1OL0l8wDmV+bxt/caSYX2EZh/8iGb0BDt5omXd7HsuHIWzSseU/NPPLKUM5dU8uTLu1lyRGm6wodt45TNx63ZOqZrTSS3dR/dv/9nSMbxzTsZ/+LzcCqOhmQPibf+ROLNp+h+5H/iP/ZsgiuuGnK+uIiIiMiBNCI9gSx/CIAVlT0ANFnpINsQ7R5xNBp6R37hoLnIy46rIGL3YMU7RzUi/ciLO7Fti/927pFjbj/AJ889ipKCED/9w1biSRcA3/zT8KJ70/O+pxgT7yL21L9h2T4i/+0Owud9EV9lenGlFQgTPPnj5F7xXfyLzyO59XkSm3432U0WERGRaUJBegL1BekFwSYAXm9I12UeqYZ0/7mBMFak6KAFhyUFIU6fnf7c5I8cpHfXd/DKlnrOO3U2hbnBTN4C4aCPay48lobWGL97IT3Fw7fgVLAsUttfzuia2WI8j9iz/xvT0Uho5Q39v4wcyArkEFz+KfwLzyTx+mMktj4/sQ0VERGRaUlBeiIF0kHaaakmhcNfdiSIJ1yiHXFmFI88Ig3pUemhqmMsrUrXd34nOnI4/t1fdhAJ+bhg6ZwMGj9g4dwizj25ij9v2sO2va3YOYU4M48luf1VzDC7IE6GxF9/i7tnM8EzrsRXcfSIr7Usi+CKdTizjyf+0s9J7dk8Qa0UERGR6UpBegJZ/vSos9uwg2TODJrak7y8Jb3t96FGpCE9T9prrT0orM70d5AyDn9+p3vYc9/b08rm7c1csGwuOUNsQz5Wl519RP8Uj0TSxXfEUkx7Pd5hbhfe1pVg0zsNPPXqblraezK+TvL9l0n8vyfwH3cugWPPHtU5lu0j/NH/jl08i9iffzTlF1CKiIjI5FKQnkB9UztI9pBTPgefY/HEy+mwdqg50tC74DARw8TaBh332mrpCZXw9q426lsODtPGGH77wnYKcgN89JRZh/9GgFDAx2cvWEh9NMYjL+7AP/9UsB2S218Z87X2NXXxwB+38vX/8zI3/+AlfvT7t3jo2ff56v/ayI8f33JQ7epDcaM19LzwU5zKYwgu/9SYzrUCYcKrbsYK5BB76l687tYxnS8iIiIfHgrSE6kvSAP+0lksnl9CY2t61HWkzVj6DFTuqBt03GutI6d8No5t8cIb+w46b/P2Zt7f28bHz5hP0D+6cnejcey8Ys4+qYqn/7qH7U0pnFnHk9r+KsZ4hz651/o3a7ntZ3/l1a0NVBSF+cTZR/CNK0/hjs8v45yTqtj0bgPf+umrfO/Xb9DUu3HNSEwqQc+z/wvLHyT00b/HcsZemMaOFBFe9SVMTxc9f/7RoNrdIiIiIn0UpCeQtV+Qtouq+LtjZwDpjVXCwUMHvv1L4PUxqQSmo4FQ6SxOOqqUl96sJZly+5/3jOHhF3YwozDMR04Y/fbho/WJs4+gOC/Evz/yJp3lJ2K6WnDrth3yvJ5Eip8+sZWf/GErCyrzuePzy7jpE0u4YNlcjqwqoKI4h0+ddzR3//czuOTMBWyvaee2n23i7eqWEa8bf/W3eM17CJ39Oeycwozfl1Myh9BZ1+DWvUd84y8zvo6IiIh8cClITyArMBCknaIqlhxZit9nj2p+NIAVKQJfYFCQ9tobwBjswkrOOamKzliSTe804nmGTe80cPvPNrG3sZOLz5yPzxn/L3c46ONLnzgBY+C7L3oYx0/qENM7aho7+R/f/wvrN9ey5vR5fPnyE4etIpIb9rPm9HncetWpFEQCfO+hN3jyld1DLmpM7dlM8q2n8S/6KL45Jx72e/MfuYzAkgtJbnmWxDsvHPb1RERE5INFG7JMJF9vkHb8WHllhG2bT557JPk5gVGdbll2unJHbwk8k4rj1r4DpEerF5YUUV6cw3+t38l/rd9JfTTGjMIwV1+wkKXHlmflLQFUleXytU+fzHd/9Tpvxmex+P1XCZ7+aSx78DSSRNLlsQ3VPPnKbnJz/Nz8ySUcmxMl/tS9uHXb8FUdh2/+KfjmnogVGDxnvLw4h2+uO4Wf/mErv37ufarr2rlq1cL+kXwv1k7P8z/GLppFcOknx9R+zxha2npIuh6FucFBfx0InHYZbvNu4i/9B05RFU55ZvW3+xhjMN2teG31mK4W7OLZ2MVVWJZ+pxUREZluFKQnkGXb4AtgF1SmPwfOPXlsi//swkpS1X+j8xdfwvQthHP82IUVWJbFuSdV8atntjG3PI+/v3gxpxxdhm1nf6e+iuIcvvrpk/mvX1VzQmInW17eSOFRJ1KQGyQS8rGlOsp/PPUuDa0xzlhcwbVnhOnaeD/de9/CCubim3cSbs0WUtWvge3gzDqe0LLLsQsHaj+HAj7+/uLF/PGV3Tz8wnbe29PKp887mpOOLKbn+R9jEt2EV9+C5Rv5F5POWJK/vdfIjn3t1DR2srepi3hiYDpMKOBQlBdkZkmEJUeWsmT557CevIPYU98n1Luhy1iYVILku38h+c6L6V+CUolBz1uhPJyZx+LMPBbf/FOww/ljur6IiIhMDstksfDvY489xn333UcqleKqq67i05/+9KDnt27dyje/+U26uro49dRT+ad/+id8vtFn++bmTjxv4usWl5Xl0djYkdG5nb/8Ms7MYwmffW1G56d2vUHizaewckuw82dgF5TjlM4d2PnQGGqbu5lZkjMpW103t3Tg/ebLvJcs54HOM3Fx8Dk2KdejvCjM1efOYk71o6R2bsIK5RFYcgH+487F8ocwxsNr2EFy5yaS774IqSTBv7sM/+KPHTRiu2NfOz978h1aGxv5YtkGKlI1BM+4ksCijw7Zrlg8xRvbmnhlaz1v72zB9Qy5YT+zyiJUleVSVRYh6HNo7YwT7YgT7YyzY1870Y44lgWnVhouNU8QSkQJrVg3qpJ6Jt5FYsuzJN98GtPTgV22AKfiqP6vm5VTgNe0i1TNVtx9WzBdUXB8+I5YSmDRx3DK5h/yHofzvZgNJhUH23fQXyOmuqnWj9OR+nB8qB/Hh/rx8KkPB9i2RUlJ7pDPZS1I19fXc8UVV/C73/2OQCDA5Zdfzve+9z2OPHLgT+Nr1qzh9ttv58QTT+Qb3/gGixcv5lOfGn25sukYpN3m3Vjh/MNaCDfVdb38G7zNfyARKmFH5fnsdOaTHwlydkk9qQ0/xyRiFH3kEyQXnI3lH3putNcVpefFB3B3/z+cyoWEzvocdn7ZoNck9r1Dx5M/hGSMh3vOoHvmKVSVRagqjVBZEqGxNca2vW28v7eNPQ2deMZQkh/ktGPLWXpsOXPKc0f8ZcMYw676Dl5/r4nXtzXR3NTCushfOC6wj/rSv6Pko1dTVHBw2UK3ZS/Jrc+RfG8DJGM4s48ncOIaYgXzqWvppra5m31NXTREYyRdD2MMnutR7DVzkrWFBbG38ZkkicK5+I86g9yjTsHOLRmyjRP9HzrjpfBa6/Fa9uBFa/Ci+/C6WzGx9nRZxr7Rdl8wvRtnMAcrtxS7sBK7aCZ24Uycwkqs0ND/QZos+h/G4VMfjg/14/hQPx4+9eGASQnSjzzyCH/961+54447APj3f/93jDF88YtfBKCmpoarrrqKP//5zwBs2rSJf/u3f+PnP//5qO8xHYP0h0Vqz5vEN/4Sr7UWZ9ZirFAuqfdfxi6ZS+ic66g45thD9qExhtS7L9Kz8Zfguen5xEWV6eolqSSJ1x/Dyi8jvvQ6Ht2SpLq2ndrmbtz9vicCPpsFM/M5clYBxy8o4YiqAuwMR+rrW7p5dUstOVsf4+/MG9SkiqizZkBuKaHicopybArr/kpOxy48y6GlcBFvhk7hnY489jV30941MKWjb5Fp0O9g2RY2YIBoR5yu9nZOC2znjNB7VDjpmuFNdinNecdgCqsI5EQI5eaRk5dPYZ6f1tq6/jDrdbdhYu1Y8XZ8iU4cL0HKWLjGImUsEp5DpwnRZcJ0ESJmhUn5c/ECeVihPHzhCPlBiPg9cv0eETtJTryRYFcdga46nM4GLJOeBmMsm2S4lGSggKQ/QsLJJeGEMW4KK9WDnerBcWPkJFrJSTThmIEygkl/hER4BolIBW64CBPKxwrmYcL52IEQju3gOBaO42BZBi+VxEslMakUxkvipVLgph97nosx4GHhGfCwwbLTvyTZvR8tZ7/HNlhWenqVlX5ckOuns70D20tieyksL4nlJrF6H/eXdDTpr5OxbLB9eLaDsfxg+zCOD2w/OL502UXbB/t9tLCwLNL3Tn/A6v2crP7x6OCLD3e7IY8PcXCo1xUW5dDWOvymUOkTJ/6vZNNNUVGEaLRrspsxbfX+RFFUlEM0eojvRxnRVOzDnPx8guHRFWgYTyMF6azNkW5oaKCsbGAEccaMGWzevHnY58vKyqivr89Wc2SC+WYfj1P1zyTffob4a7+HZILAyRcROHktlj26bzvLsvAvPBOn6jgSbz6FF61Jz6N+b336HvNOIXT2teQGwlwzL31OyvVoiMaobe6iOD/E7Bm541atpLw4h7UrjoAVX6L+9RfIf/tPlPTsIRR7F2rSr6l383k6fgqvxo+gqzlEOAgzSzxOWFBCZWkOM0siVJZGKM0PDTt3PeV6NLf30NDSzes1u3Bq36Sk/V2Oat2A3XbwL477/20jYRzavTBdhOlxcjFOEL8Nfgf8tiFCikK3m0CqjqDbhU1vQEz0/msf+r03ublsdwupc4+l1i2k1i2i3s3HZeQpHBbp4GlhKLI7qXDaKHfa0h+72yhvfY0cOzHiNSZK8WQ3YJrrBg5/z1TpRP04HjrQIrDDNRX7sIZiFnz+e5PdjEGy1kee5w36s7kxZtDjQz0/GsP9djARysryJu3e00r5ZbjLzseLd+Evqhj01Kj7sCwPFlzf/9CLd+N2teIrqhzye6ayooAlh9XoUTRp5RpYuSbdnmSczoZaWlraqSqbx+U+m8/YNgG/Q0FuIKO56pUVBb2fzQfOBiDV3UFXSyMdra10tXXQ3dGGh4OTW4g/t5BAfjF5ebnMyw8TGkVdcmNMb1+24XW3pz/Gu7D8QVKWj5jrI+b5SOSUETR+ZiZdSlMeJzk2fl/6X8DvDHzuG/jc57Px+xwc20r/ZcE1pFyPZMob9DGRdHF7YqS6W/F62+ElYniewfU8PNfgGYPt82P5/FiOL/2548f29f3zYWOwLbAtg43BeB7GeIM+4h3w2BiM56bn5lt+jO3DOH4824ex/Li2D2MHcG0Hy7LTI8hYWJj0P5PC9lLgpbDc9EfcZPpjqvejmwIvifHc9G8UQPpvgCY9sj3oWDaM/sJDt+Hggxk3deL/eJh1H8C3NM3pKzKlZOHLUTh7/pTLX1kL0hUVFWzatKn/cWNjIzNmzBj0fGNjY//jpqanshS7AAALj0lEQVSmQc+PhqZ2TCcR2K/PDr8P86BpbFuHZ1WghEhF7zxmY8B1SbouTT3jPNoaLCNYXkawPD2COlQ/drTHGFvP5kEoD0JVg4760s+MnuuScl1S8UO/1AYCQMBvgz8CeRGg6hBnZY9+pg+f+nB8qB/Hh/rx8E3VPpyMNo00tSNrxWtPP/10Nm7cSEtLC7FYjKeffpozzzyz//mqqiqCwSCvvfYaAI8++uig50VEREREprKsBeny8nJuvvlm1q1bx8UXX8yaNWs44YQTuO6663jzzTcBuPvuu7nzzjtZtWoV3d3drFu3LlvNEREREREZV1mtI51tmtoxfakPx4f6cXyoHw+f+nB8qB/Hh/rx8KkPB0zK1A4RERERkQ8yBWkRERERkQwoSIuIiIiIZEBBWkREREQkAwrSIiIiIiIZUJAWEREREcmAgrSIiIiISAYUpEVEREREMqAgLSIiIiKSAQVpEREREZEMKEiLiIiIiGRAQVpEREREJAMK0iIiIiIiGVCQFhERERHJgIK0iIiIiEgGFKRFRERERDKgIC0iIiIikgEFaRERERGRDChIi4iIiIhkQEFaRERERCQDCtIiIiIiIhlQkBYRERERyYCCtIiIiIhIBnyT3YDDYdvWh/LeHxTqw/Ghfhwf6sfDpz4cH+rH8aF+PHzqw7SR+sEyxpgJbIuIiIiIyAeCpnaIiIiIiGRAQVpEREREJAMK0iIiIiIiGVCQFhERERHJgIK0iIiIiEgGFKRFRERERDKgIC0iIiIikgEFaRERERGRDChIi4iIiIhkQEF6DB577DEuvPBCVq5cyYMPPjjZzZk2fvjDH7J69WpWr17Nv/zLvwCwYcMG1q5dy8qVK7nnnnsmuYXTy1133cXXvvY1QP2YiWeffZZLLrmECy64gNtvvx1QP2bi0Ucf7f+5vuuuuwD142h1dnayZs0a9u7dCwzfb1u3buWSSy7h/PPP55vf/CapVGqymjwlHdiPDz30EGvWrGHt2rV8/etfJ5FIAOrHkRzYh31+8YtfcOWVV/Y/Vh+OwMio1NXVmXPOOcdEo1HT1dVl1q5da7Zt2zbZzZry1q9fbz75yU+aeDxuEomEWbdunXnsscfMWWedZXbv3m2SyaS55pprzPPPPz/ZTZ0WNmzYYJYuXWq++tWvmlgspn4co927d5sVK1aY2tpak0gkzBVXXGGef/559eMYdXd3m9NOO800NzebZDJpLrvsMvPMM8+oH0fhjTfeMGvWrDGLFi0ye/bsGfHnePXq1eb11183xhjz9a9/3Tz44IOT2fQp5cB+3LFjhznvvPNMR0eH8TzP3HLLLeb+++83xqgfh3NgH/bZtm2b+chHPmI+85nP9B9THw5PI9KjtGHDBpYtW0ZhYSE5OTmcf/75PPnkk5PdrCmvrKyMr33tawQCAfx+P0cccQTV1dXMnTuX2bNn4/P5WLt2rfpyFFpbW7nnnnu4/vrrAdi8ebP6cYz+9Kc/ceGFF1JRUYHf7+eee+4hHA6rH8fIdV08zyMWi5FKpUilUuTm5qofR+HXv/413/rWt5gxYwYw/M9xTU0NPT09nHjiiQBccskl6s/9HNiPgUCAb33rW+Tm5mJZFkcffTT79u1TP47gwD4ESCQS3Hrrrdx44439x9SHI/NNdgOmi4aGBsrKyvofz5gxg82bN09ii6aHo446qv/z6upq/vjHP/KZz3zmoL6sr6+fjOZNK7feeis333wztbW1wNDfk+rHke3atQu/38/1119PbW0tZ599NkcddZT6cYxyc3O56aabuOCCCwiHw5x22mn6fhylb3/724MeD9dvBx4vKytTf+7nwH6sqqqiqqoKgJaWFh588EHuvPNO9eMIDuxDgH/913/l0ksvZdasWf3H1Icj04j0KHmeh2VZ/Y+NMYMey8i2bdvGNddcwy233MLs2bPVl2P0m9/8hsrKSpYvX95/TN+TY+e6Lhs3buSOO+7goYceYvPmzezZs0f9OEbvvPMODz/8MM899xwvvvgitm1TXV2tfszAcD/H+vnOTH19PVdddRWXXnopS5cuVT+Owfr166mtreXSSy8ddFx9ODKNSI9SRUUFmzZt6n/c2Ng46M8hMrzXXnuNG2+8kW984xusXr2aV199lcbGxv7n1ZeH9sQTT9DY2MhFF11EW1sb3d3d1NTU4DhO/2vUj4dWWlrK8uXLKS4uBuBjH/sYTz75pPpxjF566SWWL19OSUkJkP5T709+8hP1YwYqKiqG/O/hgcebmprUn4ewfft2rr32Wq688kquueYa4OD+VT8O7/HHH2fbtm1cdNFFdHd309TUxJe+9CW+8pWvqA9HoBHpUTr99NPZuHEjLS0txGIxnn76ac4888zJbtaUV1tbyxe+8AXuvvtuVq9eDcCSJUvYuXMnu3btwnVdHn/8cfXlIdx///08/vjjPProo9x4442ce+65/PjHP1Y/jtE555zDSy+9RHt7O67r8uKLL7Jq1Sr14xgtXLiQDRs20N3djTGGZ599Vj/XGRqu36qqqggGg7z22mtAukqK+nN4nZ2dfO5zn+Omm27qD9GA+nEM7rzzTv74xz/y6KOPcvvtt7N48WLuvfde9eEhaER6lMrLy7n55ptZt24dyWSSyy67jBNOOGGymzXl/eQnPyEej/Od73yn/9jll1/Od77zHW644Qbi8ThnnXUWq1atmsRWTk/BYFD9OEZLlizh2muv5VOf+hTJZJIzzjiDK664ggULFqgfx2DFihVs2bKFSy65BL/fz/HHH88NN9zAGWecoX4co5F+ju+++27+8R//kc7OThYtWsS6desmubVT129/+1uampq4//77uf/++wE499xzuemmm9SP40B9ODzLGGMmuxEiIiIiItONpnaIiIiIiGRAQVpEREREJAMK0iIiIiIiGVCQFhERERHJgIK0iIiIiEgGFKRFRGSQV155hTVr1kx2M0REpjwFaRERERGRDGhDFhGRaebZZ5/lvvvuI5lMEgqF+OpXv8pLL73Erl27qKuro7GxkYULF/Ltb3+b3Nxctm3bxm233UZrayuWZXHNNddw8cUXA+mNLO6//35s26aoqIi77roLgO7ubm6++WZ27NhBPB7n9ttv59RTT53Mty0iMuVoQxYRkWmkurqaG264gZ///OcUFRWxbds2PvvZz7J27VqeeOIJHn74YYqLi/nKV77CjBkz+PKXv8yqVau45ZZbWLlyJfX19XziE5/g+9//PuFwmKuvvppHHnmEyspKHnjgAXbs2MHq1av57Gc/y69+9SuWLFnCAw88wHPPPcfPfvazyX77IiJTikakRUSmkfXr19PQ0MDVV1/df8yyLHbv3s2qVasoLS0F4LLLLuOOO+7g0ksvJR6Ps3LlSgDKy8tZuXIlL774Inl5eaxYsYLKykqA/mu+8sorzJ49myVLlgCwcOFCHn744Yl7kyIi04SCtIjINOJ5HsuXL+fee+/tP1ZbW8tDDz1EIpEY9DrbtnFdF8uyBl3DGEMqlcJxnEHP9fT0UFNTA4Df7+8/blkW+uOliMjBtNhQRGQaWb58OevXr2f79u0AvPDCC3z84x8nHo/zzDPP0NHRged5/PrXv+acc85hwYIF+Hw+nn76aQDq6+t56qmnOP3001m6dCkbN26koaEBgP/8z//ku9/97qS9NxGR6UYj0iIi08iRRx7Jbbfdxj/8wz9gjMHn83HfffexceNGSktLue6664hGo5x22mlcf/31+P1+fvSjH3H77bfzgx/8ANd1+cIXvsCyZcsA+MpXvsK1114LQFlZGXfccQfV1dWT+A5FRKYPLTYUEfkA+MEPfkA0GuXWW2+d7KaIiHxoaGqHiIiIiEgGNCItIiIiIpIBjUiLiIiIiGRAQVpEREREJAMK0iIiIiIiGVCQFhERERHJgIK0iIiIiEgGFKRFRERERDLw/wHk2CBdLwG7TgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 864x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE:  0.0001599707197639255\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time:  6.330565928015858\n",
+      "Model: \"model_3\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "input_4 (InputLayer)         [(None, 1, 1)]            0         \n",
+      "_________________________________________________________________\n",
+      "RNN (SimpleRNN)              (None, 200)               40400     \n",
+      "_________________________________________________________________\n",
+      "dense (Dense)                (None, 1)                 201       \n",
+      "=================================================================\n",
+      "Total params: 40,601\n",
+      "Trainable params: 40,601\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n"
+     ]
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "Error when checking input: expected input_4 to have 3 dimensions, but got array with shape (12, 1)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-19-6c4ebdf72ad9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m    155\u001b[0m \u001b[0;31m# validation split.  Setting verbose to True prints information about each training iteration.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    156\u001b[0m hist = model.fit(X_train, y_train, batch_size=None, epochs=150, \n\u001b[0;32m--> 157\u001b[0;31m                  verbose=True,validation_split=0.05)\n\u001b[0m\u001b[1;32m    158\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    159\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)\u001b[0m\n\u001b[1;32m    817\u001b[0m         \u001b[0mmax_queue_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_queue_size\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    818\u001b[0m         \u001b[0mworkers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mworkers\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 819\u001b[0;31m         use_multiprocessing=use_multiprocessing)\n\u001b[0m\u001b[1;32m    820\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    821\u001b[0m   def evaluate(self,\n",
+      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_v2.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)\u001b[0m\n\u001b[1;32m    233\u001b[0m           \u001b[0mmax_queue_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_queue_size\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    234\u001b[0m           \u001b[0mworkers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mworkers\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 235\u001b[0;31m           use_multiprocessing=use_multiprocessing)\n\u001b[0m\u001b[1;32m    236\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    237\u001b[0m       \u001b[0mtotal_samples\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_total_number_of_samples\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtraining_data_adapter\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_v2.py\u001b[0m in \u001b[0;36m_process_training_inputs\u001b[0;34m(model, x, y, batch_size, epochs, sample_weights, class_weights, steps_per_epoch, validation_split, validation_data, validation_steps, shuffle, distribution_strategy, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[1;32m    550\u001b[0m         \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    551\u001b[0m         \u001b[0mcheck_steps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 552\u001b[0;31m         steps=steps_per_epoch)\n\u001b[0m\u001b[1;32m    553\u001b[0m     (x, y, sample_weights,\n\u001b[1;32m    554\u001b[0m      \u001b[0mval_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training.py\u001b[0m in \u001b[0;36m_standardize_user_data\u001b[0;34m(self, x, y, sample_weight, class_weight, batch_size, check_steps, steps_name, steps, validation_split, shuffle, extract_tensors_from_dataset)\u001b[0m\n\u001b[1;32m   2381\u001b[0m         \u001b[0mis_dataset\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mis_dataset\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2382\u001b[0m         \u001b[0mclass_weight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclass_weight\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2383\u001b[0;31m         batch_size=batch_size)\n\u001b[0m\u001b[1;32m   2384\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2385\u001b[0m   def _standardize_tensors(self, x, y, sample_weight, run_eagerly, dict_inputs,\n",
+      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training.py\u001b[0m in \u001b[0;36m_standardize_tensors\u001b[0;34m(self, x, y, sample_weight, run_eagerly, dict_inputs, is_dataset, class_weight, batch_size)\u001b[0m\n\u001b[1;32m   2408\u001b[0m           \u001b[0mfeed_input_shapes\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2409\u001b[0m           \u001b[0mcheck_batch_axis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m  \u001b[0;31m# Don't enforce the batch size.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2410\u001b[0;31m           exception_prefix='input')\n\u001b[0m\u001b[1;32m   2411\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2412\u001b[0m     \u001b[0;31m# Get typespecs for the input data and sanitize it if necessary.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/training_utils.py\u001b[0m in \u001b[0;36mstandardize_input_data\u001b[0;34m(data, names, shapes, check_batch_axis, exception_prefix)\u001b[0m\n\u001b[1;32m    571\u001b[0m                            \u001b[0;34m': expected '\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mnames\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' to have '\u001b[0m \u001b[0;34m+\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    572\u001b[0m                            \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' dimensions, but got array '\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 573\u001b[0;31m                            'with shape ' + str(data_shape))\n\u001b[0m\u001b[1;32m    574\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mcheck_batch_axis\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    575\u001b[0m           \u001b[0mdata_shape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata_shape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: Error when checking input: expected input_4 to have 3 dimensions, but got array with shape (12, 1)"
+     ]
+    }
+   ],
    "source": [
     "def lstm_2layers(length_of_sequences, batch_size = None, stateful = False):\n",
     "    \"\"\"\n",
@@ -1454,9 +3318,34 @@
     "end = timer()\n",
     "print('Time: ', end-start)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
- "metadata": {},
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 4
 }