diff --git a/example/Conv VAE MNIST example.ipynb b/example/Conv VAE MNIST example.ipynb
index b36a566..c4edcaf 100644
--- a/example/Conv VAE MNIST example.ipynb	
+++ b/example/Conv VAE MNIST example.ipynb	
@@ -12,9 +12,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2022-12-02 11:43:22.433234: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
+      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
+     ]
+    }
+   ],
    "source": [
     "import os\n",
     "import shutil\n",
@@ -72,39 +81,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "28\n",
+      "[28, 28]\n",
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "\u001b[94m                               Encoder summary:\t                                \u001b[0m\n",
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "Model: \"encoder\"\n",
       "__________________________________________________________________________________________________\n",
-      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
+      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
       "==================================================================================================\n",
-      "default_input (InputLayer)      [(None, 28, 28, 1)]  0                                            \n",
-      "__________________________________________________________________________________________________\n",
-      "conv2d_6 (Conv2D)               (None, 14, 14, 64)   640         default_input[0][0]              \n",
-      "__________________________________________________________________________________________________\n",
-      "conv2d_7 (Conv2D)               (None, 7, 7, 32)     18464       conv2d_6[0][0]                   \n",
-      "__________________________________________________________________________________________________\n",
-      "flatten_3 (Flatten)             (None, 1568)         0           conv2d_7[0][0]                   \n",
-      "__________________________________________________________________________________________________\n",
-      "z_mean (Dense)                  (None, 2)            3138        flatten_3[0][0]                  \n",
-      "__________________________________________________________________________________________________\n",
-      "z_log_sigma (Dense)             (None, 2)            3138        flatten_3[0][0]                  \n",
-      "__________________________________________________________________________________________________\n",
-      "z (Lambda)                      (None, 2)            0           z_mean[0][0]                     \n",
-      "                                                                 z_log_sigma[0][0]                \n",
+      " default_input (InputLayer)     [(None, 28, 28, 1)]  0           []                               \n",
+      "                                                                                                  \n",
+      " conv2d_2 (Conv2D)              (None, 14, 14, 64)   640         ['default_input[0][0]']          \n",
+      "                                                                                                  \n",
+      " batch_normalization_4 (BatchNo  (None, 14, 14, 64)  256         ['conv2d_2[0][0]']               \n",
+      " rmalization)                                                                                     \n",
+      "                                                                                                  \n",
+      " conv2d_3 (Conv2D)              (None, 7, 7, 32)     18464       ['batch_normalization_4[0][0]']  \n",
+      "                                                                                                  \n",
+      " batch_normalization_5 (BatchNo  (None, 7, 7, 32)    128         ['conv2d_3[0][0]']               \n",
+      " rmalization)                                                                                     \n",
+      "                                                                                                  \n",
+      " flatten_1 (Flatten)            (None, 1568)         0           ['batch_normalization_5[0][0]']  \n",
+      "                                                                                                  \n",
+      " z_mean (Dense)                 (None, 2)            3138        ['flatten_1[0][0]']              \n",
+      "                                                                                                  \n",
+      " z_log_sigma (Dense)            (None, 2)            3138        ['flatten_1[0][0]']              \n",
+      "                                                                                                  \n",
+      " z (Lambda)                     (None, 2)            0           ['z_mean[0][0]',                 \n",
+      "                                                                  'z_log_sigma[0][0]']            \n",
+      "                                                                                                  \n",
       "==================================================================================================\n",
-      "Total params: 25,380\n",
-      "Trainable params: 25,380\n",
-      "Non-trainable params: 0\n",
+      "Total params: 25,764\n",
+      "Trainable params: 25,572\n",
+      "Non-trainable params: 192\n",
       "__________________________________________________________________________________________________\n",
       "None\n",
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
@@ -112,63 +128,65 @@
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "Model: \"decoder\"\n",
       "_________________________________________________________________\n",
-      "Layer (type)                 Output Shape              Param #   \n",
+      " Layer (type)                Output Shape              Param #   \n",
       "=================================================================\n",
-      "z_sampling (InputLayer)      [(None, 2)]               0         \n",
-      "_________________________________________________________________\n",
-      "dense_3 (Dense)              (None, 1568)              4704      \n",
-      "_________________________________________________________________\n",
-      "reshape_3 (Reshape)          (None, 7, 7, 32)          0         \n",
-      "_________________________________________________________________\n",
-      "conv2d_transpose_6 (Conv2DTr (None, 14, 14, 32)        9248      \n",
-      "_________________________________________________________________\n",
-      "conv2d_transpose_7 (Conv2DTr (None, 28, 28, 1)         289       \n",
+      " z_sampling (InputLayer)     [(None, 2)]               0         \n",
+      "                                                                 \n",
+      " dense_1 (Dense)             (None, 1568)              4704      \n",
+      "                                                                 \n",
+      " reshape_1 (Reshape)         (None, 7, 7, 32)          0         \n",
+      "                                                                 \n",
+      " conv2d_transpose_2 (Conv2DT  (None, 14, 14, 32)       9248      \n",
+      " ranspose)                                                       \n",
+      "                                                                 \n",
+      " batch_normalization_6 (Batc  (None, 14, 14, 32)       128       \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
+      " conv2d_transpose_3 (Conv2DT  (None, 28, 28, 1)        289       \n",
+      " ranspose)                                                       \n",
+      "                                                                 \n",
+      " batch_normalization_7 (Batc  (None, 28, 28, 1)        4         \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
       "=================================================================\n",
-      "Total params: 14,241\n",
-      "Trainable params: 14,241\n",
-      "Non-trainable params: 0\n",
+      "Total params: 14,373\n",
+      "Trainable params: 14,307\n",
+      "Non-trainable params: 66\n",
       "_________________________________________________________________\n",
       "None\n",
       "Epoch 1/20\n",
-      "34/34 [==============================] - 8s 230ms/step - loss: 3.0951 - val_loss: 2.2832\n",
+      "34/34 [==============================] - 28s 734ms/step - loss: 7.8706 - val_loss: 6.2972\n",
       "Epoch 2/20\n",
-      "34/34 [==============================] - 7s 208ms/step - loss: 2.0098 - val_loss: 1.7888\n",
+      "34/34 [==============================] - 25s 720ms/step - loss: 2.0782 - val_loss: 5.5857\n",
       "Epoch 3/20\n",
-      "34/34 [==============================] - 7s 210ms/step - loss: 1.7011 - val_loss: 1.6430\n",
+      "34/34 [==============================] - 24s 714ms/step - loss: 1.7690 - val_loss: 4.8018\n",
       "Epoch 4/20\n",
-      "34/34 [==============================] - 7s 211ms/step - loss: 1.6134 - val_loss: 1.5878\n",
+      "34/34 [==============================] - 26s 776ms/step - loss: 1.6885 - val_loss: 4.2497\n",
       "Epoch 5/20\n",
-      "34/34 [==============================] - 7s 209ms/step - loss: 1.5644 - val_loss: 1.5410\n",
+      "34/34 [==============================] - 22s 659ms/step - loss: 1.6328 - val_loss: 3.7910\n",
       "Epoch 6/20\n",
-      "34/34 [==============================] - 7s 215ms/step - loss: 1.5244 - val_loss: 1.5067\n",
+      "34/34 [==============================] - 20s 598ms/step - loss: 1.6076 - val_loss: 3.4540\n",
       "Epoch 7/20\n",
-      "34/34 [==============================] - 7s 217ms/step - loss: 1.4934 - val_loss: 1.4815\n",
+      "34/34 [==============================] - 20s 593ms/step - loss: 1.6126 - val_loss: 3.2238\n",
       "Epoch 8/20\n",
-      "34/34 [==============================] - 7s 220ms/step - loss: 1.4708 - val_loss: 1.4595\n",
+      "34/34 [==============================] - 21s 605ms/step - loss: 1.5794 - val_loss: 3.0432\n",
       "Epoch 9/20\n",
-      "34/34 [==============================] - 7s 217ms/step - loss: 1.4530 - val_loss: 1.4432\n",
+      "34/34 [==============================] - 21s 611ms/step - loss: 1.5769 - val_loss: 2.9224\n",
       "Epoch 10/20\n",
-      "34/34 [==============================] - 7s 217ms/step - loss: 1.4374 - val_loss: 1.4276\n",
+      "34/34 [==============================] - 23s 674ms/step - loss: 1.5861 - val_loss: 2.8282\n",
       "Epoch 11/20\n",
-      "34/34 [==============================] - 8s 222ms/step - loss: 1.4248 - val_loss: 1.4160\n",
+      "34/34 [==============================] - 22s 654ms/step - loss: 1.5138 - val_loss: 2.7294\n",
       "Epoch 12/20\n",
-      "34/34 [==============================] - 8s 226ms/step - loss: 1.4146 - val_loss: 1.4072\n",
+      "34/34 [==============================] - 21s 608ms/step - loss: 1.5483 - val_loss: 2.6487\n",
       "Epoch 13/20\n",
-      "34/34 [==============================] - 8s 222ms/step - loss: 1.4064 - val_loss: 1.4012\n",
+      "34/34 [==============================] - 21s 614ms/step - loss: 1.5043 - val_loss: 2.5639\n",
       "Epoch 14/20\n",
-      "34/34 [==============================] - 8s 233ms/step - loss: 1.3997 - val_loss: 1.3935\n",
+      "34/34 [==============================] - 20s 600ms/step - loss: 1.5478 - val_loss: 2.4656\n",
       "Epoch 15/20\n",
-      "34/34 [==============================] - 8s 242ms/step - loss: 1.3936 - val_loss: 1.3900\n",
+      "34/34 [==============================] - 22s 657ms/step - loss: 1.5493 - val_loss: 2.3686\n",
       "Epoch 16/20\n",
-      "34/34 [==============================] - 8s 223ms/step - loss: 1.3890 - val_loss: 1.3838\n",
-      "Epoch 17/20\n",
-      "34/34 [==============================] - 8s 229ms/step - loss: 1.3850 - val_loss: 1.3809\n",
-      "Epoch 18/20\n",
-      "34/34 [==============================] - 8s 229ms/step - loss: 1.3806 - val_loss: 1.3761\n",
-      "Epoch 19/20\n",
-      "34/34 [==============================] - 8s 227ms/step - loss: 1.3773 - val_loss: 1.3736\n",
-      "Epoch 20/20\n",
-      "34/34 [==============================] - 8s 227ms/step - loss: 1.3739 - val_loss: 1.3708\n"
+      "34/34 [==============================] - 23s 674ms/step - loss: 1.5355 - val_loss: 2.2513\n",
+      "1250/1250 [==============================] - 28s 22ms/step\n"
      ]
     }
    ],
@@ -176,7 +194,7 @@
     "# Create a configuration for the dataset\n",
     "\n",
     "config = {'scale_data': False,\n",
-    "         'input_size': 28,\n",
+    "         'input_size': [28, 28],\n",
     "         'loss': {'loss_type': 'mse', 'distance_metric': 'mmd', 'mmd_weight': 0.1},\n",
     "          'encoding': {'layers': [{'filters': 64, 'kernel_size': 3, 'strides': 2, 'padding':'same',\n",
     "                                  'activation_fn': 'relu'},\n",
@@ -191,7 +209,7 @@
     "                                   'activation_fn': None}\n",
     "                                  ]},\n",
     "          'latent': {'num_nodes': 2},\n",
-    "          'optimiser': {'params': {}, 'name': 'adam'}\n",
+    "          'optimiser': {'params': {}, 'name': 'adagrad'}\n",
     "         }\n",
     "\n",
     "\n",
@@ -205,7 +223,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -224,24 +242,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 1440x144 with 4 Axes>"
+       "<Figure size 2000x200 with 4 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1250/1250 [==============================] - 14s 12ms/step\n",
+      "1250/1250 [==============================] - 9s 7ms/step\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<Figure size 1440x144 with 4 Axes>"
+       "<Figure size 2000x200 with 4 Axes>"
       ]
      },
      "metadata": {},
@@ -285,14 +311,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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nnCAIMS2dNZu7sZIGex4aplGVA6AyuQS6Ib+vKAphKLCbHl/4p/vxvIBsW4JM2sR1fB57YJDpsSq3/MV1sXdyLjF8osjuB4coF5u0tSc5//Ll9C/Pn/PjLOKpsWg4fo5w8vA0X/+PnYyPVPC9AF1X6R7I8arfvACn4XHndw4ycnIWx/ZxbB9FgWxbgkRSp1ZxuPeHR9FUBTOhE4aCyqxNZVaOa1BU0DSVwA8RgAIoqkJpukEyY1LoSGFaOqODJXbdc4oX3XjuciBCCG772j7uuPUAruPTOoF7vn+YF79mE9e/etPP3cCj5zsWDcfPCSaGy3z2H++hWrZJZ02MNgvfCxk9VeKf3ncbvhvgeU8cFeC5dbL5BM26hwIEYYgQsooyHyIEf/6oARXUyJGpVx1UVSHfkUJRYM9DQ0/LcARByMlDU9SrLoWuNEtWFk5rAPbsGObH39iPprWOochkbdXltv/ZR+/SPJsvHDjNERbxTGHRcPyc4L7bjlItNcl3puLFZ5gaiqrQrHtn/F4YCMozckSAbqiEATTr7hm3b0GEIFTQNLmIaxUbVVNo1FyO7p3gm5/bxcXXrDpjKHHw0VFu/c9HmR6vEgQhuqGxdFU7v/K2i+ld2rZg2wduP0bgh+TyqfjfFEUhnbOYnW7wwI+PLRqOZxmLhuPnBPseHkE3tQVv7DAU1Mr2k3xrIcJAnNVw5DAQKEqIooDvCUozTYQQqJrC3d89xEN3nOC1b72QC69agd302P3AEEf2TVCeaXD84CRCyFBJN1RcJ+DEoSk+/aG7+O33vZh8hzQSQgiGjxcxLe2052BaGsPHi0/7nBdxbrBoOH4OUJppUKvYuI6P5wYYpuRdlIsNwuAsDEF4dvKzQkiDEf89FCgKJJIG2XyCWsXhG595mHx7im989mHGBssIIbAbnszBGBqZnIWiKFgJHcPUmJmssfOuE9zw2s2A9CxMS5e5jdOdcyAwzmBUFvHMYZHH8QKG74fc+vlH+ND/9z2qJZt6xWF8qMTESIVysUmt7Dzr56QoCtWyzfRYjVTGpFn3+K+P3cfoqRLZfIJ8RyrySlSCIKQ4WY/zKaqqoKoq+x4eWbDP8y5biu8GTzBsYRDiewHbL1/+bF3eIiIsehzPQzTqLo/dP8jYYAnd0Nhwfh9rNvegKJLVGQQhuUKSz/+/e9l513GCQMSehRBgNzzsxpnzGs8khBCoqorr+lSKMnSZGq9S6Eyh6yq+5xMGMgGLAq7j06w7pDKyfKuoskdmPq546Vr27BhmZrJGMm1iGCqeF9Cse3T2ZLnshtXPwZX+YmPRcDzPcOrINP/50fuYnW5IK6Ao3PuDw/QubcOwdMZOyXmkYSgoTTeeUP14riEEBH4ok7INF8PQEaHAtHQadZeZiRpxcSY69+JkHcPU0Q2VwBes2tC9YJ8d3Rne9t6r+fYXHuPY/gkajo+ma2y5aIBfeuMi4ey5wDkzHB/60Ie4/fbbURSFm2++mbe85S3nate/MGjU3dho5AoJtIi4VZ5tcvDRMTRdJVdIIsQzbzTmJ0l/Go6ECAWhgECVRm5qrIrd8E57zkEgmB6vkkiZJFMGl1636gnb9Cxp423vvZqZiRqVUpNcIbnYqfsc4pwYjjvuuINHH32UW2+9Fc/zuOmmm7jmmmtYteqJD8AizozdDww9wWg4jhe5/OB7IeVik/hV/QxACAECBCI2GGGU9DxbAyIEiDAkDATN+hM5JPPhOgHpnMKv3nIJ/SvkIO9G3eXEwSnCIGTJynYKXWk6ejJ09CwajOca58RwXHvttVx55ZVomsb4+DhBEMQTyBfx9DE2WAIh0DQVIQTVks3sTGOBnRBCnFWl5GwghIgNByDpofM+g7M0Hgp0DWSZHK0RnIZ89nikswk2XThAGAp+8q393P39w9QrDkKAldA577KlvOpNF5BIGWdxVYt4JnDOQhXDMPjwhz/MZz7zGW688UZ6enriz7797W/z7W9/G1hUOX8y6IYK0cIsF5tUSvYTnItnymi0oCjKAoMhIRAhoIqzMhyplEF5pklppEIynwABqq6iqMpp9zM9XuXAI6NMDJf5wVf2omoK2XwCRVGwGx477jhOo+by5j+8apFi/hzjnM+ObTQavOtd7+KXfumXeP3rX/+Ez9/1rnfxiU984lwe8ucGh/eM86m/uxNNV5mdqhM8w0bi8XiyR0GEAiXqlj3dohVCYJcd6lNNzIxBspDASOh4tk99uiFp4qFAT2gkCwlUTX3CftJZi+1XLOP4wSnspke2LbHgc6fp4boB7/rz61ixvuscXPEiflqcEx7HkSNHOHToEACpVIqXvexl8d8X8fTg+3Ochunx2rNuNJ4KypMofgkhmD5cZOyxSfSkRqpdLnin7iJCQaYrhZUzqYzWmNg3w/BD49QmG6cxVIKJ0Qr1qkMqYz7hOKqm0qx73P6tA0yPV8/l5S3iLHFODMexY8f4y7/8SzzPw3VdbrvtNi666KJzsetfCARByH9/4kG+9h87CYLwNKHC8xuVkRrVyQapziSZrhRhIAi9EOHL//tOgG7pFFa0oekqvu0zfahIs7SQDm83fdoKyagKvZA6X5yqMzlawW64PHLfKT78Zz/gy5/cgWOfnlG6iGcW5yTH8fKXv5z9+/fz6le/Gk3TePnLX85NN910Lnb9C4HH7h/ksfsHSaR0wkBQqzhn1TPybOLx4YUQMvxYcmEvmqGhaLKSIhDSAEaXEQYhiZyFbmmgQOAElAarpNqT8TaBH8bbTgyW8J0QVVNAVQjCEEUl7tytVWzuu+0IYRDyht++7Fm8A4uAc5gc/cM//EP+8A//8Fzt7hcKD99zEhEKrIRBaaYh19u8RfdsodWufrawchbCl56SoijolkaggO/OY4CGAkVT5H+KgqKrOGUH4Yco84SG7v3mQeyGR6YrhQiF5IME0jhpkYxh4AX4ETH2/h8d5bpXbaRnYGFH7SKeWSwyR58HKE7W0YyFUeNzYDfkcZ/EeJypkhE40kAoQQiqhgBUU0XxpOehqAqKpiJCQeAGC8llqiK9lEB6GtXJBqqh4tk+ZtIAHdSotyUMQsyEPneOEb3+x1/fz5rNPezbNYJr+yxd3c5FV6+kuz93zu/PIiQWDcfzAIXOFFNjVYQA9zTNXM82zqbUqSgKqq4QeCGhH6K2ZAZR0CwN3/alJ6Iq1GeasqwLiCAkkU+gGtKggKzc5Fe0yYq0AqEQ2LM2RspAN8Fr+rh1T3osiiztapbGgz85xq57T0FkpI7sHef+Hx3lde+4hG2XLj3Hd2cRsNgd+5zDdXw6ejI4tsf4UIlm7alFdJ5JtEhg8/97sm3DUIYaiqIQBoLADVGQXBBNV9EtDU1XcWsuldGq/E7Uy5IbyBL6IjYmIL0ORVNQNRXNUEl3pjASukwag2S1hkL2xHghvh1QLztk2ywKnWny7SnyHSnshs///PtDlGYaz/Ad+8XEosfxHOLkoSm++C8PMj5UktWBZ9nReLr5jNOxRsNQGoDQCxFR15qiSE9CCDUmkgkBsyfLVMZqMs+hKmiGxopL+tFNjep0nVrRbvHeMDMm6c6kfKWFUShzGsKYEFEIpIDb8Ah9ARGhVFEUcoUE5WKDR+87xbWv3Piz3ahFPAGLhuM5Qmmmwec+ci+ToxU8J3jeGo0zfac524RQJkZ9d84b0C095nw0SzZTh4p4TV+GIwIGNnRy2a9tIdshqymBFzJxtMh9X9xLdbqBqinUC0nWXLUEu+lRnWmiAEZS7jemxLdORVVoTDWYGSzTt74jPj9VVRACphb5Hs8IFkOV5wgP332CieEyrh08p63xP03zWhiENEsOU4eLeLaHbsqKh25psnwK+E7A5P4Z/GaAbmqYKYP+TZ1c89btZDtSOA2P2mwT3w0Y2NTFS959McmsRSJt4jd9hndNcN61q1ixrpPJA9N4DR/NVCXjVFVQDRXN0PAaHuWxOk5T8jmMpE6+L0O+P0u+J00i9UQiGcgGugd+fIyvf/phvv1fj3Js/8Rznlt6IWHR43iO8ODtx/Hcp278eibwUzWsxd8FVVVp68+Q7khSn2wQhoJUexLd1FANFQWF6liNwA3QrDkd1E3XrcRKG9QibVIAz/HxvYC23gxrL1/Cvh+fIN2eoDrdYHjfJOtetJzZ8RqH7h6ksLyNdFcSVZf5lNpMnepIldALCIKAzhV5cl3p2NtoH8hhFhJUqw7ZeXNeTh6a4j8/dv+C/Mfd3z/MxvP7+LV3X46VWFwWT4XFO/QcoFq2GT4x+1yfxlmhtfhbtkZRFYyETn5ZjvpMk8kDM2T70nTmCohQ0CjaoMzlJgxLo3dNO97pmJ6hTHguPa+HPT88Fic/p0+VWXmhj9fw8e2AqUNFZo7LpGngyioOgGZqLL+wj1x3hjAI49krqYxJo+Hyna/uoXSoyKotPWy/fmVkNOrkCsm4E9l1fPbuHOHWz+9i24VLAFi+qQsrsdiJezosGo5nEUJIQtOj951CiOfG24DTexpPxt/QTQ2EDFGMSFQYYVEv2Xi2T6Y7jZkyUHX5pm8lLeNcRFQ6VRSZVF3A44j49SIU8cQ4+e+yN2Xs0DSDuydiYkvoyYTsfKiGQt/KdnwvwI84JZquUC87eI5PImNy4NFRvv2vO8n0psmvyJHJJeIQUVEUTFNn6PgUn7ntxyQSOqqq0N6b5RXvvIib3rodVV2M6udj0XA8C5idqnPPDw7z6H2DuI6P74f8rBSvOEnY8gCeIuwQQuBUXTQjCieixT3/e6czHh0DOVaf38eeO04QChVd1+RYBFVBMzXJcAUSbQtHPnaua2dk17isfqDg1D0qk3UKS3K4DS8+lkB+ruoqY0eKGCmdRHsCKy9o689w+J4hnJpLMmux6pJ+OpfnCbyAkX1TnHpsgtAP6RjIYaUM7LKDmdJRNJXACxAhaIaKqink+7M0ay4JkcS1A2bqVcrTDXpX5EmkDE48PMbI3ikEglx7EtPUmRmr8pm/vB2n4fErv7dIa5+PRcPxDGNqrMq//92dzIxXZRJRU6mUmnFfxtligdAOc+3uT1UlCZwAp+LQrDgYCYNcXxrV0FBUEb9NT7ePgbUdsScxfwat0/Ak50JV4oqJECIuw5ppg8617UwenEGLNDgO3j3I5a/fTCJj4kRELhCk2izchsfUUJn+7T0oqoqqK5RLTYSl0r+5kxe96XxSeSsylAprr1jK5PFZ7v78Y+hJ+RiHQuB7IRrMcUMUee6eG6LpKmpkKFVVwfcCJk6V6OrPMXpwBkUDw9Axrei/RIbydINv/ssOXvzGreQXtU1jLPpfzzC+/+XdTI9XaWtPkm1LkMqYctjQT9kBGwQhYRh10Lb28TQcF9VUyQ1k6d7QSWF5DtXQCKJZJU9G9ErmLNRoIYe+pJDL/hF5Dup8T0csND6Z7hTJfILQFwROwNH7hzl83xCJrEm+P0O2M0W6ICssj/7gKBhKdC2CVC4BQpAsJLjunReSylvUZpvUZprUi01816d/YyfXvG07VnsCzw1IpE15bqGQT3bEWEWBiSMzKKqCU3Yhul5dV/HdgPGjRQIvkExUQ8M05+a0ZAsJaiWbx+48eTY/U4wwFEyOVhg9VTrjbJgXIhY9jmcQlUhkOJkyUDUV1/GpVRw5YvGniFJEJCsYzmNRPplOxsIvz5GmUBQUAUrU93G6bQFQ4OB9Q6y/bAltnWmmRyoogTQcrShJ0BrLIJ5gDBVVoWdzB82SgwgEiYzJmsuXYFh6zCytz9rs+t4RfCFQdRUMYtZo4Cl0LcmRzFrUi015vYqCkdRBVfDdgM5lbeg7NYYOTrH2ogEUzcD3Awjl/g1LpzRVZ+zoDAB22aFZsklHc24B3KaHCKXnlcsn5jLAzN3fVrn3bLDnoWFu/8Z+xoflIKpsW4LLb1jD1b+0AV1/Yb+zFw3HM4ij+yaoluUclNJMUz7QYm6x/bSQDV9PX0B4gTPRWvGn++7jPAYFhdpsk6H9k3QvaaNZc6iXHckUjdrbz5iqifYV+oL8QBYrZRAGcjxkiy+hKJDtSLHh6uXsv3dwwXd9N0BVFTL5pLxmXUX1BYouO2wR4PsBiZRJtj3FyccmUFWFpRu7sVIGiqoQBCEzoxUOPDBEx5oC0wdn8R2f6cOzJM83UVI6iq5ipA00XSOTteL5Li04TQ/D1Fi2ofMp7/N8PHLfKb7yyR24TkAqY6AoCpVSk+/9925mp+v88lsvekHLHy4ajmcIu+45yVcioRmFsx+v+FRQVBZULZ4UZ0ktnw/P8Zkdr7F0Qzert/YyM1alNF2nUmzi1eQoR83U5rp7WyVYRRoeI6lgpQwCLyTdliCRseZyJUIQCkEya8YVl9Z3Az/EMDXZC6MqJLMWWrv8nu+FeI68ry3jZaR0Tu2bZPjgNFoo6FzXQb1kUy/ZiFBgpEzyK3KkkiaprIXih8wMVVF0hd/5h5fxP/9wP8f3TMSjKQE8N6BabLL58qUs29BJaaZBJmfFn58Jvhfwg6/swXMD8h3J2ECYlk6z7rLzrpNc9uI1DERq7i9ELBqOZwClmQbf+OwugkCQzprUq+d+FKOCElc0nsbGp1Uuf8JmikLgBzSmmzhVDxDoSTlQafzoDEs2dLF0QxfaIYVjdw1RmazHAsTp7hTtK9uiROocwUw2v8l2+C1Xr0DT1XlejyzG5rszJDImds2N+1sUiNioUfkXmQhGVbB0FcPSCLyARsWhPFkHQDU0fNfn1MMTNJo+iTYLRVWwkgau7ZFb18EFL12Dpsu2/eHdE/R1pbni5etZtqaTD77tGwwfmYm9OVVVGVjTwbLtvXzg979NEISksxaXXLeaa35pPaZ1+uVz8vA0s1N10tFc3PlIpAxKM032PzyyaDgWsRCP3j9Io+bS1p7EaXrPzAzX04mRn2nTqPTpVF1qE3XcuicXe1dKMjEjD8BtekzslfTu+fFHbbzB4IOjtHVnUHWFmVMV2eGqyYa1MAipjFTxmh69W7rivIAIpQUIfcHGa5eRSBun9ZA0XWXF1h6O7hqT4x9DEdHXoW9V+7zcDDKxiRLPnTnx2Hjclt/ywgI3RETJ20TKwLB0VEOGSPVSE13TsDIGG69ZwYo17QAsWdPB337nN3jgO4c5uGMERVUYWNfBIzuHOLR/AiuhoaoK5dkGP/jqHoZPFHnT711xWu/DsX2CQMTn+PjfQlF4wUseLhqOZwCzU/W5P5/Dtu6fVqELoDJWo3i8HC0o+VpvzNhUxy26N3cQeiHje6bwGp5sVIvelEIIvKbH1peu5oJXrWNmsEJxqMLRB4YZPTQtqxOm5HY0iw716SbpriShF6LqKk7FpWdFnnx3VMo8g7XrXpbHqXsMH57GdwMCL6R7eR4zqQNKfO2KqiCAIAgIPEGj4izYr+9Kg5FsS2CYsn8GQPgCM2XQu7KAFXkxQSiYnKhRqdjkcglSGYvrX7+V61+/FYD//Oi9lIpN7Jkmxw8XcWoumqnRuaKNx5yAC69acVq9j+7+HKal4dgeycf1ygTR3Nyu/uxP9Ts+X7BoOJ4BpLMmQgjKxYbsfP0Z8bPqjzpVl9njZTnsaV7viFzsTYYfHJMlUzdAURW56COSmJnUufz1W1i6pRvD0mkfyNKxNMfqS/rZf8dJHvnuEVmW1RRCT9CYbkrZPwGhH2ImDbrOIOsnxBwPRVEU+td20LOyQHm6jqqqtPdl0E0t1hktTdQjQyLzIYm0QSJrUStHoscCQi/ASBok26S+qYIMlUIh6FvVTigk5b820wQg25ni4GNjXPKilTiOT6ViSyaprrJ/1yijuyeZHa7K0EVTcZseI3unmD5V5oHtR05rOLr6sqzf1sfuHUMYhhZ7JWEoqM7a5DtSbLvkhS0wtGg4ngEsW9tBo+YQ+D97QvRnMRqKoqDpCs15naPzBzqJMCT0BaHvz/s3IVXJFbjg1evZfO0KUvkEQggCX+A2PIJAYCZ0Nl23ktJ4jZOPjMeVmjCcI7bpukYiZ9I+kI3o9tLACAGe7eE5UkbQTBrMjFaway66ppLMmXQszcdJXUWB+qxN4AZ4qlQcU1XZ6ObUXVmticKjRJtF33lduLZHEAoUIWtYbV1pelcVCLyAsUMzTJ4sEfghy7Z1s/9HJ6hXHTxVwfMCWSpWFAhh6visvI8RA1W3DMJQ0Kw4PPqjE/AXp7/3r33LhZSLDQaPzdAsOThReNi3usCv/c6lJNOn79p9oeCcGY5Pf/rT/M///A8AW7du5a/+6q8wzRf2zflpYDddPvuP95wTo/Gzon9tO8s393D3px/FsDRSuQRBEGLXXQJfqme1IAVzAEVBNzWyPSk6l7WRyMrfUAjZs5LtSlOdkp5U0tJYc9kSTj4yHhs4K2PGuQg9qUsOxqyNbuqAIPBlOOF78ti6qRL4Ibu+eYiRvVOy6QzBygv7ueTmjWQ75bgFu+rKEqsboGo6ZtKgNttkZrSCqqiolsy1hEGIbkkDGTY9FFWhc0kbq8/vZWawzANf2kd5vBZ7O/t/fIIr3riFiWKDVMbEMDRURaE4WWP9FUupjNfZ9+MThL6PZwdYmShnoqpMHC3i2N5pG+FyhSSv/c0L+dC7vsmpx8bx3ahKVHIZPjDN6k09T/jOCwnnhIWye/duvva1r/HlL3+ZW2+9Fd/3+cIXvnAudv2Cw4++tp+ZyfpTb/g08FTeRqtq8fjMvaIo9KwssOaCfnRTnVtIoUzYJTMWIpijrmuGipHS0RM6minZlE7D5/juceoVRzamhbL2q2oKiZwMxQIvpK0nLf/sypxGpkfODDYSOooiO1Rnhyrsv+sEdj2SJlfkMa2kXIAH7zjF0KMTUe5CzmE5dPcgX3v/nZQnagReQKrNwsqYmGkDM6HjNj0OPTiMqkpCnF2RJDPdlPkZRVUwUzqqplKaqDF6dIZ7/3MPxeEKRkIjlbdItyfI92XoW9+J7wZ4Xkiz6TE5UqE6Iwd9b33pKsy0JJwBOHUP3/NjryfOsTwO9YrNP9zyTQb3T1HoyrB0XQedAzlmJ2r8y//3Ax78/pGf+rl4PuCceBy5XI7/83/+TzxoesOGDYyOjp6LXb/g8PA9J+MFGeUgzznO1N0Kc/TxZRu6UBQFt+mzdGs3Q7sn8J0AzVDRdFUajghalECUo1AUVE3BnrVxGh5HHx5l81XLCD0BQhoWM2nQKMlcgFPzCJwAVdfoWl/ASBrRecDEoRmO3zmEHymbH7pzkPN/aR0DGztRVIVqscnBuwfZ/d0j6JYu2+uRBkmEgup0g2/9/f1svG45SzZ2kutIEQYwvG+S3T84TmmiJisUdY/C8hyJZW1x9UUIgWHqmAkVz/EZPjRDvdSUnBN97nqXbu1GM1Qasza6IfkozaqDQFaZklmL3tXtDO2ZjOj20mNKpU3aOlJk8gvHVLZwzzcOMnhwmkJPJs5xGKZGe2+GmZEqX/vYA1zysjUvWBLYOTEcK1asYMWKFQDMzMzwX//1X3zgAx+IP/9FGjo9n7PxsxiNpzuiQISC2mSd2mSDwAux0gbd69tJ5qx4rknfhg76N3Yyun8Kz1EwE3q8f82MBl3PI6gpquxLceouxdEqtVkbQqBsYyR0Mh0pMh1JwkAwvH+KzjUFUh1J9JYAjoCpw0Vq4/V5LfUqxaEKt//LTjrXFWhfKbtcT94zEntNelImbjVNxW145JfnaBvIMnGqxNixIkZCUtUDN8RpeohA9syoikKuOz1Hv4+SqY2Kg5k00A2VrqXtrL9oAN/2OfrgCMN7J3HqXixrGAYC3wti76qVsFVUBSOSQ5SJVoGhaaiqynW/ugXD1Dm4c4Qffu5R9t0/hG5oXPyyNRzfI5/zx5drw1CQyBic2DfJ4cfGOHZwit0PDOG6ActWt3PZDWvYcF7fT//gPEs4p8nR4eFhbrnlFl73utdx6aWXxv/+ile8gle84hWAHDr984o9Dw1h2z6aoc4ZDSHOesL82YgIB27AzLEygSuTek7FQYko26XJOtWZBuk2i+2vWc+Srd0cum8IVAjCkNp0Mz7HBfuNGZyyH6Q0XmNgfSe+E8gwpu5iJHUqxTrFqRr5Zbmo8iEFeJyyTXWiRteKAomsSXWmQb1oo5oavhtQPFEm05NGM1QZPhka6YishQAzoZPpTJLpz8gQK+okdhseqqaiGgrZ/gz1mSaBF0qjlXrioyxCgZnU2X7Dasw4DyFYtq2H2bEa3/3QfUyfKkcaItJzSebMyFUEPaEReCEzQ2WgZbQFQRCw6bKVvPp3LuGur+3nE+/9Ic2aKw1yKPjmv+zAi7y7FgI/pGnLxLLn+AhF4VMfuhvfCzFNDUVV2LtzhEOPjXHjG87j6pvWn9Uz82zjnBmOAwcO8M53vpN3vvOdvOlNbzpXu31BoFJq8pkP38Oh3eMRMUpFVSV34Gzb589oNFoLU3Z6yWc7lH9O5E3skhO319dLTfbeeZJsZ4rlm7uxkgaBL9vKC0tzjByZZup4CbsyPtcwN+/4oS9I5i2sqNt0323H8Woe/Ru7MCwNp+Zy8O5TjJ0qSZq4L5XO7ZJDdbxOoSfDK/7oCvL9WdRIG2P04DS7vn2Y+qyN7wTUpxqkOpIkcgZ+I4jb80UkGKQmon4TL1hwD8IgRIRSc1RPaOgJje4N7TyeIKKosnX+gshoiJYBVwSKotI+kOVlv3cpX/+/d1Iaq1IYyGFXHelRmBpBJFo0um8KBYVk2sSxfXRD5ZXvuIi3/t8X49o+n/qLH+PaHp0D2dgbzPVlKKxoo3t1AcPUmDlZ5vCDwwQ1+Rt5TZ+ujR006i6pjEkqZ6FF3lK1bPODr+xhw/l9z+uBUufEcBSLRd7+9rfz/ve/n5e+9KXnYpcvGNhNj//3Zz9gptiQsXwowA9/6u7X03/wuM+iReDZProp34puzUPRwUwatK8qoFsaay7oA0Xh1L4JJk6W8COehmFpJAsWmb401bF6zN8QIfEs2LalWTRDxW/61Is2j3z7CHtuO46qKkwPlvGaPpql0bulEzNjUh6pURmp0b0yz7VvvwAzqWPXZPXGsDSWnddLrjvNDz62A6fmMnmgiKopWBmT0A9pVmVYoQCe7aNFHoSqqdLjUIhVxRRV5gs2v3glybzF2MnSwvsdNfAt29SNkTCiEnGLzQqCEE1T6VzexraXr2H3949xwavWkY30SnM9aQIvYOpEiR1fO0ijYuPZ8h6tu6CP3/jza0hlLe786j6qs03aezOx0ehZ1866a1eg6ApuQyaDezd00L6ijV3fPMTQ7kk0SyOZT0gPBQXX8UlGuaFMzqI00+Sx+wd5ya9sOfuH6FnCOamqfPazn6VWq/Hxj3+cV7/61bz61a/mwx/+8LnY9fMeX//0TkZOzeLUvbmE4zk0Gk5VDmhqhQ6KIt/MXtOHUDA7WKExJdmpwpchipE2GFjTgaqqHH90jOHDM/iudJ1VVcG1fRAK7Svb6FyTlz0dioJmqrQtydK7rZtEm4XvBFRGqviOj9v0mB2pMnZoRh4bKQ40fbiIU3WojtYQoWDLDauwUga1YjM2pG7Tp15qku/LsnxbD4Sg6jJ/4Ns+YSjwmgHNkiOb0lRIdSTRDA0jqWOk9ChPIpXCVE1FMzWWbuth89UrSGZMsh1JOpfmsNJG3FTY3peV5iKSH2jtQ1EUUGXu5bJf3cxL3nMxZsbk4N0nOfrAiLzfmkK+L8uKC3oJg0i/w1AZOzHL/33jV5gZrzIzNkcMA9AtjdVXLkXVFNyah2f7+E5ArdhENzQ2Xb8STVfYeM3yOEmrIJv2WlCijHp5tnn2D9GziHPicfzBH/wBf/AHf3AudvWCQEvp6uThKe78ziFUXYrn/rT7OhMCN2Bs9yR9W7sxM/KNFIYC35ZVipmjJZqz9sJJaF7I9OEiydeZVIsNpgbLqKqyIEmnGRouHkZCJlLbluSwK3LUoqLKkYyVkSrV8XqcgPSdIO4JAVA0yevoXlVg2dYeBlZ2UJ6s0beuA7fpPfE6Ix2PZef1cOCuUxEVXCGRMvAcnzAQLNncTUCI0BeWmFVNRdEko1UEcni1Zenc9pEdbLlhJZuvXEYyl5DkskAwM1bl5J6JuWRpSwOVOe3TuQtR0HSVfE+GTdet4t7/3sOGYBmqppLImlzyKxvpXdfBA1/cI8vNbQlOHZ7mi393Nys2dcvQKpQEtM5VeYyUgVt3EUL+W8/yPLWqQ+AHtA9kecMHbsAwNe786l5CP5T5sHlvGqlropBtO3215vmCRebo04Rjezzw42M8dOcJipM1BFApNmXcHDVzLRgUdAacDRPUdwJEIJg8NEPH6nxErpLxfW20jl2yEYFANVSZIIw4GHbZ4cj9w3SuykuB4dN0cWqGimv7iFAmI7uW9jByaBoRSs0Qp+LgNTyZr9GkeI4I5sY3JtpMrn7z+XSvKsiOV+Qb1zB1gjAk6QTYVRffC2QIEgn3GAkdTZfhlaJI+b5ExqRWbJLtSuKr0KjYuA0fTRAnGBWkxmnohQR2wLpLllAeqrB0Ww+ZQoogCPAduRC7l7WRLSQpjldp783GrFJgodFAsmejtUoiZbD+qmWMHJlh6YYuub2m4DU9Uv1Z2lfl0QyNPHDw+AxX/MpGUjmLynSDzuVtJLpSzE7UyHWmSCV0Ai8kmTEQmhIT3pIpA8PQKPRkmBqpYGkG1jzFsXpVJlnPu2zZ035OngssGo6nAcf2+Y+/v5uDj4ziOH6cxIshkEHfmVIUQtCctWnO2uSXt8VDi54Kqi5LpTIkmMXKmhgpg8AJKI9UEYEg25uifXVBLrDo+IEXMLh7go5VeeA0vI9I7wKkdkQyY7H6gj4mT87iNmQY0rG2gGZq1CYach6sIhdRpjfNphtWsmJTN6l8gmbVlTNe8wnpskft6IqlkI3Ks7GauKrQuayN9VcuJV1IoFsasyNVZobKknPiBgSq9GTcuk/g+gSe9AgUXYZZjWKTrr4smUKC1ZcMkCkkqU7XyXSmCLwAL6r8JDKmLCsHkpjWOo8FSodiroWfiJretbSNR247ypL1nVJmwA0x8wm6N3ch/DDWWU32pPn+dw/zyt+/lKOHpulc0UYYCmbHa5zcO06hN8e6i/qpNzwsU8P3gnlqAgqbr1jGA989hF33UIF66OA6AbqucsNrN9O79PT9Pc8XLBqOp4HvfPFRHrv/FOGTRSNn+EwIQWOmyeypMkZClw+yNveGmU/cejyMpE6izaQxY6NoCk7Vxa44eHVpvJIFi4617TJXEDXTtdTHk10pKQ/YWjzRopYlT9mPgpCaoZ1LclhJg46BHGNHi2iaipHU6drQQWFFG42ZJrqlk2lPoCV1aiUZ1qi6SjJnYaWM+K0+X7C4FSqEfijzDoEgkbW45m3n4zQ8qSkiJNHrzk8/ipU2qJRs7KozTz8kKsf6IcLUSKRNLvrljaiqKhmfXkDoSU3TdJuF5waEgUDTVZau74yFlOPk6jwoEOuDtO6/bmg4DT/qf5FVHDSFMOLEKFGp1qt7hJ0CL6mx6sK++Pv5btkTc+D+QY49Msq6i5cQ6KqUfAwFnh8SBB5W2uTyV2ygNlHj5IEpPC9g3fouLn/xarZcvORJHrTnBxYNx1OgUmryk28eeHKjcQaIUBD4AYl8gt6sGcfTIN1iRVVxbS+OkYWQmpiVsRrNGdnxaWbkAg3sAKUVn0cDmXMDWVRtodFQkAQpI6kzMVgimTFpVBwMXUVTpSZFs+bEi2vJhi46B2SLt5k0SLUlUHUFzw2ima0GbUsMUjkLVVVwGh6+G1CerjOwtlMajPkLMlIXmq+Fquly6JFv+7HeqKoq1GflsOlsZ4qr33we9395L0Y+EbfQa6YaV40UVUG3NJad3xuLB5kJHd8L5gZTqwqmpcelZwT4QRBvo7b0VlunNu//LQPuez6qJtmzgRsQBILZ6SdKI+imxpIVBRRVwa570f6ljUpmLNZc0M+B+4ZYsrEbgEzWYvPmHhwnwHF8Egmdvv4ciahULAQLQqrnOxYNx1Pg4btP4rlzXILTeQanow3LXo4gTuz5XsRy1CQTUdM1tly5jGTGYma0QnG8xtSJWU7tncJ3gpg6begWVm+aesnBa3qEQo4eUBSFZN6SU9pbxZxgLs0W+CHFoQrVsRrtKwv4bjiXL1AUUjmTVdt6SGZlyCCEwLV9jIRO0NJGVUARAt3S44fabXgYKSN6k4snvMZPq30cJVXN5FwzmJky0QyN+myTRtkh153GtAzcuoeZkeFYKpfASkvxYd8NMS2Njt4sUyfKTJ2cZdl5PWTak7I822KtRkzVFlRtXj+PIqtOrQFTC09c/q9esulb0xGpoYUMHprGeVyyVwiB5su+H6cuhY4JIFTliyHwfDKFJImMSXmyRr69i8uvWE42e/qEpzLfmL1AsGg4ngKnDk/PU546PWL3HOnaBtG0MVVXUAwljqXlxpDNJ7HrLsf3THDpjevIFZIsXdvJV24/KbtDLVi2tYfNL15JvieDokCz5nL4viGOPTxG59oCiiqVteZXOh53UvhOQHWiQWOmiZExyfWkWX5BH93L2yh0pfHsAM/x0TMGlekGICXz5jNdDUuPF7zb9DEs2T2abkuiaJIh67syyarqymkVsYQgzuvUSzZjJ4qUJ+ooqkJ7f5Z0xiIMBPn+LPtuP0nvlg40S0co4Nq+7Hg1NZas62RwzyR7vn8Mz/GpTNS59Fc3oVsazYpDNho70VqDoRALZsG0lNhblPLHIwwFhqWzZH0HYSA48uAwg4dm6FzXsWC78lCFZWs7UFUlLnGLUMQCRCgqpqGSTJvomkpHZ/qMRuOFikXDgXyQPD8g8MNIw0JF11WqZZvZ6Tq+7aM8DTn7MAjj3geZTNTkUxyVNEESl5SoO7ResbFrLqmsxeDeScpTDdKFJF0r81z8yxvRDBWn5hGKkETGZPtNa8kUkuy75xQdq/KEkVsdPrH6iaIqNGaaOFWXRNZEVxSmD8+SzSU4//pVCCCRk4nUyeOz7LntOJe/cYtkSx6aYeLkLHbDw0joUspfkW68oqqk2iySORO77sbiNiDnw8pQbN4bdJ5TMj1S4eD9QxERTRqUynSDRNpg7YUD+E6AU3UYe2yKTE+KlZf0o+oq2fYUfasL2GWHPT84hh91y44fK3Lo3kHWXbkMTVel0LCpyQa1uovnyIqOZqjYVYed3zjEeS9fI2enpHTMqPcFogqWEKRyFoEf4jRcpkerzJ4qU1hViCo6Ab3L82w4v5dMewozqWNhyJeCkN3HTt2LGw3DUJDvTrN0af6nfzifp/iFNxxBENJsuPGsEM/xOfTYOCcPT7P7wSGqs02CQKA/xZ1qzYWVOQhlAdPRd+Wcj1ZsP/clYpe5PtsEITAtjS0vWY2qK9SLdrxp03MwUwarLu7nyAPDhH5IbaJOuiuFbskekNYi1UyNwA2pjNUA2YOhW5JMNbx3ivpsk0TOwmv6KJrC4GMTjB+coVps0L+mg+Vbusl1JBg/XqI0XceOSolhAJk2k3UXDTBxYpZE2qRjIBdfU5zoDSXXonVfFEXBs30O7xiR5dmUPjczVgjsuseJ3eOM7p8CIcOh2ZMV1l+6hPNvXBfv98DtJ/HdgHRBvr09J2DvbSeYODJL3/oOMh3JSHQIulcVMACn7qLpKnf8x6OMH5ph9SUDtC/JUZmoo+oqRkIjkZFhUyv/pGoqTsOjb30HzWKT6f3TdG7sYPmmLjp7spLZOu9F0uoRVFWFRMYk8APZu5LU2bC1l4Elz16FZL73+0ziF9pwCCGwI6OBAmOnSnz13x6iOFFHIHBsH88LFzQrnQlew8MuuyQLFqEXUh6uypr/suzckGQBQSCit3dIpi1BMiOFclIR4SfXkyGdt2hGjFH5NWldPNvHKiQZ2NjJ5GgFp+5Rny7SsSaPHulfiGjhTR+ejUSH5R48J6CwPE1jukm9ZJNsS+A5cgGsvXwJ+28/gVeTYxl1Q2Plll42XbKUsZMlpobLlCbrjJ+cpXd5nmTWZHJHmUTKoKM/h6pLWnjghZAAFJkgmRPr0ZgaLuPaHmbCiA0qSM9INzXKU3WEKrAyRvzWPvrgCNsiDyEMQyaPl+JcjBI14AkhGDkwxfGdoxAKEjnZLJfvzXDt27djJGU+yEoapPIWw3sn6YgYpq3QIvQFZnJuDGajZHPf53czM1RhxfZelpzXjV33ae/KyPyP8rhqFbI6FYYhqqoiVJXZ8Rqvf8clrF7X+cSO5nl5snOxyFvJ1bmwtdXde272fzr8QhsO3w/lvBMFGjWXL39iB7PTdRIpA01TsaNeg9PFw4oq27+V6CHy6h7Th4voSR2v4RH6Urcz051CT2hx+dO1PeyGh6oqUjMj2veybd1kO1JxP4kIpIvSMhqt+r9AJhnXXTxAsa/Ko7ceZnjHGMn2pBThcQKas/aC5F9L/zPVmSTVkaRec+hUZELRbXqYKQMzZcZEMUWVzEzfDcl3pMlkLU4yxdRwmZmxKrnuNE7Dw4nmvXYtbUPTpaBOGIroz/IEqtMNMh0p7JonE67zZqe0EPohTkMqgyeiwU2+G1CeqPPIrYc5/xXrqFdsarNNqeEat89LqnowL3ltpgw0TWF2pMpPPrmLG//w0qhxL0RBYWjPBF0r8izd2o1uaijaQpaqgkKqLcGL3nwet338IU48Os7kqRIve8/FpLImmqbQrLmAiKjo0ngo8gfC8wICL6DQn5Xt+PP23Qpf5v82SqRq8FQLfOzkLA/94CiNikP/6nYuftkakmnztPsEeZ+FAqr6zBiPX0jDEQRSus7zgig+lbMwKqUm2XwSw9To7s/S0Z3m2L4pHNub+10iboSuS0Gcjr4sHf059t17Sqp619y4ZyX0BJMHZuha346e1OXi1yRjc/NlS1m7vU+WYhWFlGpx+a9u4s7P78Z3gmhRz5PQn/fje7bP8vN66V5Z4PBdp6gXbRozT97b0JLds7IWwwenKfRmSKYtqX3R9NF0heJQhUP3DKKqKmsu6mP51h6ZGFUlNVwIGR6c2iOnxKuabKCrl5p0RKMaGxUHz/ZJ5xNYKYNMR4pm2Z6L+4OQMJQkMVWTScV6SX5uV1zcqhsnkr2mz2PfP8b665Zz4L5Bku0JqlON+P66DW+BIBFAdapBpj1BKmdRnqgxsn+anjXtTB6fpVmR1ZuRA1MMbO6iNTTq8cWhMBTUGi4rrluOXfdkonTvJCs2djGwLI/nhlFIIMPTIJRzZ+szTYQi5RNVNaQ4U2d5NDsl7s59HJ5qgYdhyJf+/l6+/W8PY9fd6OUh6BrI8XsfvYmNly49M1v59IWvc4JfKMMRhlIAxvOeSMpYu7mHd/3Fdbh2QGdfFj0KT1zb58GfHOc7//UYru2hKgpmak7lyvdCcvkk3csLjO+bpjRUjXkBiiIf7uFd46Tbk5hZk1xfGl9TOHVgCt3Q6FmWJwhCRo4VOX5oCrNgMbRvkpUX9uN7YaxFIRCk80maZRsrY9Io2RhJnUtfv5k7P/XI6XtlopBAURRSHUkMSyeVkySpsWOzLN/Qiaqr7P/JCZy6x47/ORB/9cTOUdoHcrz8PReT60rTMZAlkTKkt6TJUqXrhKiOz+CBKYYOTpNqsyRdvemxensfS9Z3xhWHXEdSyvyFYkFSUiBIZE1CL5QNffMqIWEQ4jY97vjkI6SXpEl1JTGHDdyaFCheYDSUqHIjBPWiTVtvBiFg6kQJz5aaIqqq4Ds+G65eLr0VO8BIyPNrhaMCwdhgieJ0AyUKwYQQuG7A4LEiQgjyHWkQoKlS57Q03aQ828Bp+qTbLJJ+SFdPhkrJpjTTIN+RevJJfq1c12kW+G3/uZuvfewBdFOnoy8ryX5ewNRwhX941618/N53yPt5pl1Hhulcex0/t4ZDCBGHIgrSojfqpyk/RNB0lc7eaNaFkL0pQshKwYtuXIdladz6n49K/kTGlFPjA8HsRI1ddx4n35Fm2fZeyiO1WJ9TKAq0chp2gG83yPXJFuzSZJ2dPzy6gGEJ0nV98Mv7SecTdK0sxExPUHDqLjPDFZZt65buvB2wZEs3177jAu757GM4tcddX/QwmhmDng3tpNtTKKrkeMyO15g9Pksqn+DEw2P4bkAqn4iTfiIUFIcr3PGZx3jlH1+Ormtsumwpe+8dlNqh0SmHvkBRIZE2CH2B5/oyadqfw2tKXoiqqyQNCyUICQCnIRW/RRAS+HLRrr1wgISu89j3pBZnqxvYTOhMHivSk5Kt6P3ndzN5cIbq2EJdV01TYz2SMBQ4UZjpewG+65PKJ0AIcj1pMu1JnIZPpj0pm9HmtQDYTY9SsSlLrZoatRcI6ZmEMDZUIVdIxQZRCDASGrWqI/NLUw1mlYbM0ewa5Yf/+SjnX7GMV7zxfFRNPeOw6VAItMdZDt8P+M6/P4wQkGtPxv+uGxrtfVlmRqvUKzZmInPG5/qZws+l4QiCELvhxlb+bCX8SsUGzShBpygKmZzFxu39HN47zop13axcLzUzB4/OsOMnxxk5MYsXJeysrInb8OL2aFVXpQiwoWJXHEqDFUCgWTqZrlTc9arpKl7Tp3i8jCLg7s89xsDGLjqWtaEbGjNDZQY2ddG1Io8QYCWkPqZuaCw/v5dMe5I7/v0RylElpfUGLizL0bNJnm+z6qAosnI0cWCa4okyIN/smY5kLKGnKNK4JLImE8dnmT5VomtFgb6V7RS6Muy+9yTTw5VYIEiEAt8LUVWBaWo40zZf/6s7Cb2QVCHBiu29rLyon3WXLcFueoweLeI0fBQFch1JOvpy5DqSbLxmOQfvPgWhYGBTN5lOuViOPjCMXXJIFRIYCYP25Xka03YcfgkhYoGI1n33HR/N0Ohb10Hf+g7qszaH7p4bbO178nstg9NCZdYmDGULfZzEFGClDVRNxXMDGjWHTC4h8xl+SDJlku9IUS078n4IwfhwBbXpIXSF3bvHOTl6F6qqsmxlgYsuW8aypxj/KIRgarDM5FCZdNbk8S6JGjFhJ4fKFLoXDcfPDBGKuLzamkN6tt/P5BKYltTlDHxBo+6SyVm85rcuQtNUOY0rFGy9ZAnrtvXy7f96lCN7JmSVYUUbEwdnsHJWFMNHmfpZO662tEqV5aEKhRVtdKzKY5gaU4eLhH5INnLrTz06zsE7T7Uyo1SnG1z9lvPj8iHMxa8DG7s475fWMPTYJOuuWMLUSJlGXU4e892o10NAZaTKzAkpNSiiqWIIaJYdsp1pUKRH4DQ9ete00z6QJUTBTBqIIGRqtMzwgSlGHp7g+lsupGt1nsH9U9h1l9ALOHzHIPWijW5qqLpCZaLOo989Sm26yeYbVzNztBjlbmRIksiYJNI69bJNtj3FputWsuaSfjKdqej6FLbcsIqjO0eYnWlI/QtDsnEVVZaefceXYYtG3HcSeCF96zvoXpWnWXXjMuzUyRJCEOdsHp/4br1spNCz9Do1U4vCJ/mZqihomkIQjZlEgWTKpFZ2ZGLYD3EdX3qbCYNAmZvgdvjAJKeOF7nx1ZvYsHluRMLsTAO76ZNts8i1JaKkfWuCXevQIrIdc6XsQztHWX/hwBmf55Z26rnGz53h8LxgodF4CsPh+wEnDkxRrzpk8wmWr+tEN1R0ozVPRJCJhG7CMKQ0I2eKSOMB2XyCG391KyMnZlFUha41BeyKg11yCDwAES2q6ESi7k8USb6aOVaiMdPEa/gxr8KzA8ykEldR1OjhmTxeIpmz4gqGEFGTliL7JDZft5INVy1HN1V6Sh08+qNjUR+FfIDqUw2mj5biPpDQU+KKhGfLrtKW4bjy17ey/Pxe6TEZKlNjFSZPzPLQrYcib0blyEMjDB2bwXN8Aj9kbO8UtfE6iawl2+cNqYjuNX2O7hih1nBIdSSjvg4pATB6ZIajDwxTOlWhZ3U7l//aFhIZMx60JBBYSYNtN6xi//1DTA2WMVI6VsbALjtoloah6IS+DB1bVZuBTV1cf8uFJLIW1ek6EydLaCmdjdcul7qiSBEhrIVMVyvKFwR+SKPkIIIQLSlL3X401jIXhXRKi+gW/bQtlmsYCFn5iXp0lBCpjZo3SaYMalWH239wmFVrOykVG9xx2xGGh0oRX0hl1ZpOrrlhDV1Lcizb2Mnhh8dIRG0GLcej1d2cSLfm2Jzm4VZ4RhKj8HNoOIIgnLfYntxqHN03wff/ew/FqTphGMnJ9Wa46dfOY9nqjgVJTpCVgHxHitJ0A78uf7ha2SZXSLJ2aw8Hd49z0YtWcMufX8ehHcM8+P2jODq0LWtD0zWqk3VGdk8wdaQIyH0HXkCjaJPImviuVBevF5uIQgIzZdAoO7HXlOtOxYlDIWR1xYlCCzNlyLe8Jl+BuY4UuY4UTrMitw8FpaFqbDQQoBnKglJmdbqOqqlc+RvbWHlRP57tywnySKZr17I8512/its+/hBmysD1A5SGSyjk6EWv6pHKSa3S+dRuI6lTL9kUByvkB7IIIRdSsyKvzcyaWFmTQn8WK2VQL8vmN0LpAQReSKqgs2xTF1ODZRSgY1We8b3TBE6IkdBIZi2chgwvl23r5kW/dR61YoP99w9SLzuYCZ10W4J6xWFyuMLai/ox008cpNRWSDIxUsG1fRJ5K+6uDaJScz5nkUyZcRm/VS0qzzYWtM632HhKlLOulm2shE4iZZJKm9SqDrt3jbDjvlPU6y5r1naSTBvMFpsc2DfO1GSVX3vzhbz23Zfy/979bYrjNdo6UjLkbbjUZm2WruvkqldviBskFwgtLfI4fgY8id0YOTnL//z7TuyGRzprohsanhcwMVLhK598iN/8gyvp6ls4GFhRQFNVCp1pnGZZSukLWa1pzjrodojihlSLDTpWtNG2uRPV1AgiL6h9eRuFpTlOPjjCsXsG4ze8qimkcrIiYVelelSz7GClTZJZk0bZRghoX5LDs30CP8CueguEhpsVh2xnKpKkkw+L5/gYpmREBkGIW3XRDSm9F7R0PKMkH4AIId0tcxJu05OT3lrVj1DgOj696zroXp1n8liJ2nQDI9UmF+vGbsYemUQzZMNcq2wNxOpfXtNDhBHdflaKIMlOVJVUZ5KBTV3yJwsFZtrEaXiYSTmOARTSbbLM6jk+em8GzdQoDVZki3soSEVK6RNHi3z1/9yBZmpk+zNc+Evr6Fyak8nOiEszcbLEwNqFPShRDpr+pW2cODwt71GrNOwGpLMmAysLOE4UwkRGulFzqczaUmls/rM3r4YvQkGt6pJImfF57N87TndvlquvX006Y8oXSRBSnGnwo+8eZPcjo1z+0jXc8ncv5YsfvIeZsSqBH2IldLZcuYzf/vuXkS0k42cT9RlyL06DnzvDoetqrMnwZHjw9mM0Gy5thWRslQ1Do62QpDzb5OG7T/LyX936xC9GC71nSY5yscnoyVk+/Rc/5sADw2iawsG7BzFMjcLKPKuvW4EXtaGjyHDASOosv7ifkUcnpHZnVC4VocBKG7gNyRsI/BC34ZHImjI08iSBLAxCGmUHw9QwLJmcDEMBofzOcFTKbQ1VDkOBrijomvQyQiF5IzEe55V1ryigJ3TqMw3MlIHnBPG818HHJjj58BjFwSqBFzJ9eBYjodO7oYOBdZ3opoZv+2itMO9xZK90exJVV2IpQjWaWaIaKp0bOykMZKOkpFwIhf7MgiY1Tdei/JCCbigs29bD5a/bjK6rnNw5xsPfPIRn+5hJXaquz7hc/vrNdC1tIxQCp+mjqmAkDDoHcth1l0Sk5N66C2EQMn5ylspIFdVQZbNdZPRyqXaCQGDbQVxRqVcdho7PRuesxGHy/PAhDIFIJFpRJPFQUWRF6oaXr8MwNZpNL56019md4cbXbOZH3znIxZcv4+pf3sSlN65l3/1DNCoOfSsLrL2g71mhlp8JP3eGww+eejp8GAqO7pvEfByzD+SPr+saR/aMn95wxBtC0w/4z//fXQztn8TKGKSzFgD1ssPgoxMITWHVFUtjSjaKFBlO5kwSeZNqNCoycAPK43WMpC5VtSqOlACsufhuQKYjycU3b6RrRR4jodPen42DVyHkPgNP5ige++5RklkL3dLJtqeozDQl/0RXsdpM6tNNNCMERYrTzLcbSqRXIf1tmWsB2S174uEx9vzwmPQeordp6IVM7J1mzUX9JDImS7f1cOTeIfSWHgbSeDhND83UaItGCHhRJSTVJtvmXdsn35eVc1lNnUx7Es/xFxgNAN1QWbqlm5mJOt19Odp70zGBbc8PjsVCzYahEfghS7d10Lu2g0bZjij50gD6jh+FdercdQuZN7CbAWbaJNWVIohkGEMvRCA48dg4U8MVLnzZGlRVoVaxOXFoZt6zA0TDrCTtW404FDIXYZjSG6vXXAodSS65chmGqVGvu/H3VVXBc33y+SQ9fVk+9fH7ufjy5Wy/eAkXXL8q3u65ngB3TlTOW6jVarzyla9keHj4XO72aUEIQaPu4DlPrbgjRHjmdnSipqUnI+wAsyWbR+44ycjhaakbkTRoMX8TaQNFVxjbO4XvBXLEYmtBIqjPNimP1hYcUCA7K+2qS6ogWZfrrlzGkvN76N3WxcCmLrIdqZjiDnNvdCtjkMiYnHholNnRGpWpBtVig4lTJfl290Lcpk/bkiyqoWKlDNL5REwuayFTSDB+ZAbP9klkzTh+d2ouB+84iQgFqbwlQ6SY9S1wKjK82vTiFXQsb8OpeTRKDnbVlazQULDq0n7MrEkYhuiWhpk0MCOjoekamVyCetEmCEJ5PY/PP0TeVkdPFlVXKZeanDo8w6kjMzzyo2PUI+OgzhMm7lvXIYWO3GCuXyiC5wYLGtV8Xya8kymDJSvb6V+eR7N0Uh0pVEMmqlVdhljF0SqeG5DJJcgV5trlhZB8Id2KFMwjkWgzZYAiiVvlUhPT0ti2vZ9UyqTZdPG8AMvSyRdS5NoSZLMJEkmdF12/BsPS+fH3D7PjvlMLjhNG/JLnCufM43jkkUd43/vex4kTJ87VLp82pNFwn9bwI6k+rbJsTQeHd48j0oJlqztYu7WXtvYkjarD7h3DT8hvzIcfhJQqNsP7p+SgY0uLQyMR0XyNhI5b85g4XESPxizmulPols7QznF8Z45OLnMCsrzoOT5hUZDpTKKkVfySIKi7HHpomPOuW4XX9PFdGcK0iEsilBn/A3edQoQC1dIYPV4kDATJjAx1XNuXrv0vb4rzKZWpOvtuP8Hhu4cwEzrZ9iTjx2c5tmOEjdcux0ob2DWX8aNFnKZHqi2B2/TnOnE1KVM4M1hBCEEiY3L1W87n1CPjDO2ewG14tC9tY+0VS9ALFmMHpqnNNBDIxeXZcvEuW9+JlZTiQNWpBrmuFMbjJsB7XkDoy4nvqqbie6EMa7wQt+7FOZXWYCNVU1D1+W9lERsUyc+RpDGQoYMf6ar6oQwrO3uzFKfq2E0fM2thz9oybSFg/PAMtZkGS9Z3ku9IyfxGhDBEUtGR74r+5W2IEBo1J/a2nKbPnT86RhBIScX1m7u54cYNeK4M31RNQUXFtHRe8ZrNfPULj/LgvafYGhkb+ZuLWOzpucA5Mxxf/vKXef/738973/vec7XLp40WEeepMN9CX3LdSk4cmuKCq1aw/crlUtciELR3ZVi6uoNk2jzjflwnoC2XYMtlSzixa5Ra2YlLpihzlYC2ZVkapQaKpqIA1ak6Vtpg8sgMIgRFAxEguQfz1bvcgEbJZuJgkdxARiYw/VBOVHcD2dPR9OKmNM+WGpZ96zo4MHKSIw8MY2SlDmijKZvRlqzvZMPlS6V+hu0ROCGF/ixXvnEr6XyCiYMzsS7pzq8fwEzqLN8uiWVqNDfVs32ZO3nci25wzwT1WZtsRwoBrL1iKWuvXIqZ0DEsHdv2qNddtl6zgtmxGsWxqmSYpkzSWStqbAvjPIHnBlipxznDAgYfnWDiaBHFVNHbLBLtUmZQj0qVqiIrXyAb7UpjtZirEXtpUSep9AKIKzxAVAlClmAtnUJnmtFTJTkQG/kbBW7Azq8eBCHIdiTZeMMqSDxOvCjKbwgBs9MNrrpuFXsfGWV0uIKigGHohEJ6gooCW88fQFGhXGqiaVG5V4Nm0yOdtdhyXh/3332Sk8eKbNraGx/mdGzTZwvnzHDMHzL9eDwTQ6eDIMRzfUkrP8vZrACrNnbz+lsuoas/h+f4OLb0AFRNpaM7/aRK5MmkgWXpXHzDatZv72P3Xaf41id3yjZtP6RWapLpTZPpTsm6vhvE8a/b8Eh1JqlNPlHHMkZUyiyeLOPZPp1rC/EEd6kwJYVnZMetYOLYLPVik5nBMlbawGm6CF2GRol8glxbgs7VBYJA4NouqqpKrwNp5La+dDXVsRozI1VEKD2HmcEKbtNHCMHwvknsmouotMhRROpfQuqbWhrHHhlj45VLSaTMBfqejuNTKTuk0ga6odExkMNveJhJg3R7kkbJjhe3ldRJZM1YBnC+toSiwKlHxzmxcxRVV9EMld71HWz5pTX0DGSZ2jNFabSK0aahKPLcxo/MUJtukO1KxUlkRQEzqccEPycaCIUAQiW+NkVVSETn7PsBoZDdzk7NxXPkMKzKdJOdXz3AsquWUljRFv988ftJkRT2u358jOa8dgfX9eMEcC6foKMrheMEqKoa6cN46FkVx5bapP1L2gARyxTMHWjuHrVeiq1jt3hiL+hy7LkeOu37klJ+NjHe6bZdFQ3UadZdTEtH01Ws5Jxi95NBsgZl7HvRDauplW2+/9lHqcw2CYUg1ZGMGqRaxwcl6qRMdSQxUvo8vYyFUHU5qUyK9TTIL83hNL24PCii/pf6TJOdXz9IeUImWd2mdNkZqrL0ijYyPZnY9Z2daVKetenoSpNtS5CNeh/ciPtgtSUoPzrO9leuZ/P1KzESLWaqQu+adiaOzuI1I1HeqELjeyGKDpmuFAPbepiebJBtD9FUSRrz/BC77pFMG6TSJqqqcGrXOHd/7jFWXdzPha9ej2ZEpWEhQz5jXsNWi/AkkKS5a9++nZ417ez90TF8J2R07xRtPRku+9XNXP1b5/Hjf9lJbaZJGMouXN3Q2PHV/Vx3y4UksqYkbGlKnMMKA9lq3/qRlMdVQwJPRLR+lbA7EzULpmhbkmPqUJGp/VMoKpgClq9tR9M0mg2X0nRD9jopEPiCpi+NRuu3CHyZXZbcC4jc1Djp6dhSZb3FSQqFQNM1Os9ALT9da33rj6r2zBiPc5ocfTYghJBvVDGPHfo0vnMmKAqkMqYU1Yke7ifdVygIw5Dp4TITJ2bxvZAgDLnkpWvwmj5O1ZVt1VEJc+F5EHMXEo+f1KVAsj1Btj9Dpjsl3etW2/lUg2bNZezQDGZCl8k3TWHnNw5RGq+RyBhYaSNOWjbLLrMnyrLnJCrjtrgc05N1PD+QxDaIe010U2PjtSs478bVKCrUik3qxSZOw6V9aY4X/eZ58XzZ0AsJvABNUyn0Zrj8dZs4+eAIj33jICd3jVGrODQqLqqi0NaeoC0vw53AC3jo6wfwnYDxozOUxqokcxbJrIVmaHOzd+f9bpKqLXtoVF1l/YuWku3JyPyAqnDsgWHsioOR0NnyktUsO68HM6mTLiTZ9rLVXPiaDTJ34QYEoRQbcpp+VEGR0outN3OUu5aq7KGgVGwgBHT2ZcnlkzhVV87MNTT6z+9hxTXLuOF3LuLCV64j15YgnTXp6s2wamMXbR0pGYYufALiBsgWKmWb4nQdK6FLYxYK6Rm6ftRcB6eOFxlY0kZ5tMrXPvYA//PRB9h33yChCOdKwGd4xFvjK881XnDl2BaD74w028fhXN60lmX33QC3KZMTzaqD56h0DuS4+o1beejHR6N8y5MYILHw40SbSef6DoyI2owiRxyUTpWpjtcpj1SpjNUYvH+U695xAT1r2hk7NE11qk6qTS660A9JF5LYVRfVUJk9WaJncydGyohddE2Xb/d61aE8Xcdt+ri2RyJj4fshW25YhRBSarB1mr4TEvgOy7f3su6qZRy6axABWGmTZZs60XSNH3x0B74bkO/PMLC6g65omFDrDSsXQ8j4gWnqM00SWZPADXngv/ex7qplLNncjZHQ8d2A4nCFwkCWmck6xam69GpUhUzWpKc/h5nQWXlBH1MnSoQKNMoOP/inHZRGqwSuVJXPdKZYdn4PW25YFeumaromx0KE8u2t6TAzVqWzT8oFKIqCH4So8uUvFdZsn1w+QXtXGuEGTA2WpdG2NMk9WdtBQwjGRsq0FZJx0lk3VPqX5WlUXRkCR3GJHLGx8HkUAh66/xQ3vWYzyZRBveZE904lnTapVhymJqqcuGuIb/3fu2RiGvlbbrx0CX/wz68g1556iuf23FPPX3CGQ8R5LIXwWSxHxSQhAbWyE3dPttxNt+mjJjWSHTJ/0cp6P77sq0azTeyyfECMpE7P5k40Q4s6PUHR5fecqhfPig0DGaZ89x/uZ9l5PbQP5KRBUOemuSeyJmZSp9nw8Bo+9akGhRX5BcpcsgLloVk6ihuQzCWkZ1FzSBcSeE40PgDpjZgJPdqvwSW/uglXgVRXCittEHghxeMlUCQb9Jq3bqfQm8GzPVRD5hoQipTVUxRqJTseESFCQaPs8Oh3jnDgjpNYKYPyeJ2N162gantUSrZMeKpS+2N2WnYsr9zQRVt3OnY1hYBQhbZlORoTDUI/pDJR49CdDmsuHSCdT0riXVukRRKNnvC9gNliA9sNaO9K0dmdkepeDY9KUVLel61ul1UcVcFIyO7Y1iCq1jp0mj6u7dOoebR3pyl0pvC9ENPSKXSmGB+unElqI8bBfZN0dmc4/8IlZHOJOJFbLtlMTdYYfWCU44+McdNbtrPhEjms6cBDI9zx5b189Pe+y59//leePBwRT3UGZ49zbjhuv/32c73LBVCi4OrpGI1z6W0E0czUWtmmWZWLvtXHksxZzE7U2H3nSUIVjJSBXXFI5hOEhLHgjKLJ5GttsoEXvdWzfZI67UdkK5RIv9IOuP7XttK/tp1G2WHP3afYf/cggR/SG1GlWwOf4gRiS4ciek6CqFSZyifkWEaUqOyroBsq6UKC2dEqO752IGaTtngiChAqUo+krSOF3fRw3ID2VflIWySQc1o3dZJoMxFVj8JALjq+QOBJvQsNQLrchqWBqtCYtXGbfkyZVzUVKyMlA9WETrVko+utdncFRZEek2P7TI1VqJdsyYtwfIyUTro7JWfoKgqNyQZGQvbGHLprkMtev1nei8jw6qYkh40PV6TRDUKKk3VyUTilqSpdfRmMaDvXkffXbrjoSX2OlKbMlX31yJMrTtVJpg0SSTlkyUro85KWZxYRNi2Nh+4f5KH7Blm9vpOVazpQdZVisUF/PsX0SJU///zNdPRn4xfRugv7uerVG/jX/+8HHNo5yoaLz9wh+0zgBedxaJqcYxE8jUrKuXDRRCgIheChHx4lkTJYs70PM6HHSliprAUK/OCzj3LigVF6tnRipA1QBM2STSJnoppzLMraVIPpQ8V4/6mOROxFJTMmay7sZ/2F/XT1ZeXbDtAUhYtvXMv++4b47P/5Masv6ac8UZOJNk/OHBFCUJ+Vsn2aqaInDdJRa7rbcElkDMJIwzQXKYEDTBydZfxwkUwhQb0kS6pObU6+z2jJC4SCRk3mLVriNr4ToAQhuf4sKU3SqRMZE0WB6kyTZjSaASHQDY3+zV1YKZPSWDWuvAhkkrIxa5PpTJHuTWFHFQYAgYgXnaJCudjk2P1DeFEiuGdzF5qh4XkeZtbEKTkIIehYU8BWBIf2jNPelaGtI4muy5CuNNOg2pIzDAUhcmJfoSMtW/X1OUappquEYcjMaBUt6mqOochxF3r0TDpOQLVkk0gaKMjk8emgKHPP5sDSPM2GS7lk4/sh+3ePMTlRY/naDvL5JOPHivzGn11NR19GCjqLuX109GV50/+5lmOPjT2p4fiFbauPcwuRRqiqqQRPQS1vkXx+ViiqghIImnWPO752gFckDAZWF8inpZ5DveLw/U/v4nv/sQvd0ikNlskvayORTSDCkGb0IAduQH26KVu5VUVqNcydLcs2d3P1zZtJZSx0XUUAri9b9/2ag6aqbL5qGS9/+4VohkZhSY7u1e2MHZqJErYCtykFhEJf0L4qT6ojKccYugGNioOZMbFMnbb2VDzKYfn2Xh78yj6aFYcTO0bZ+vLVmCmdZsVF0zWSWRPPC7AbnmRLtifRTU127UZJOUVRCDWpVm5YuswVpA1qtk/d9eWQ5qRB0PDwo78TnTOqwtrLlrDhmuXk+zKYGZNK2aY6a8sJemKOYi2Q/SYTR2fRTI2eTV10rm+nfKosiW+6ipbUyK/Ik+mVFYh6zcW2S0yMVsjkLJauKJDvSOG5AbPTDfyI/zM5UiGRlG0DrQR5SyynOFVHN6VMYOtXMwyNXJuFMW/SfCVqRpQGEcqzzdbPGz1MrWdTXpOuq/hBQLHYnPe5TNYmEjpLlrYx0fDpW1WgNmsvSLYLAbVSk94VBcYGS7hugKYpMalt7gGGcxylAC8Aw9GqtXteELnAzx5ZruVmzpZsBrb38uJlbdgKDA6XCW2ffXee4r5bDzJ6uBi1tusIXzCxZwrVklRjEQrsqkOrb1JBLjBhqPi2T3PWZmDjEq751S0kUgYg4n4FAEVV0dMmbsnGc3wuvnEtjz44SK43ywWvXMce6xhjh2awo3EKqiZnrNan6zRnbRJ5CzUqeSaTBgMrC7JnIrpGK22y6oqlHL93iAN3nCQMQjZcu4J0IUEiYyKQXt7MZD02xImsiZmSYwxa0+D7V+ZZuqKAoigUZxtUohwOSE+rXnMZfmQ84m3I0EUIuPTmjWy6dgWqruJFicT2TlkyHjpWlEpsRG0AgRyNsOLKJWR60ugJHafi4Dd9Wi3uyUKSbF9WivsIgZkxSUQVi1rFYWa6TkdXhvaeNB09GUIvoDTbRNM1TFNn7OA0M0MVNF2lb30HuZ4Mhc40hc40dsPj2EE5+yXfnkRrtbPPM27LV+QxkgZjIxWq0bW2XAwRSG0RRQXXDvC8kPGR6twLTgAqZHMW27b1oakq2fN6UTXJh1loFOQ8mmTGItOX4cD+CVasKJBMyV6dVnOh+osq5ON7gVxEkeWMdTaewbxoq2QKCpVyk+liExQFM6ExM1JFNzVSbRa9m7twv7QHkCpRIpSutecECFuWZkUgQF04NxUAAaqhkWyz2HbtSqykQbPiYFo6hj4321REZUfV1HAaHsmsyfihIm39Odn89isbqc82ufM/HqNZsckUktRLNtXROvu/dZiede1ohoZdddj4e5eSiM5jjrIgWHfdClZfNAAV2dBlBiG5tgRe5BWEoaC7N0Nt1mZ4cgY9K6ejpfMJQLD1gn7WbOjGMFVECB1dKZavKHBg7wRTU3LUY+iHcgp9lBdSVIXe1QU2XrMCFCVmb4a+wCPAMDU6ejKcOjKz4LYlMwbGqoJULwsF1bEqYRDK+x8Ikl1SRzTwQ8y0IbuCifp7AihNN2nvTEMIZkIj05Fi2/Z+dtx9kh9+5EFmBsuxIJBuaay4sI8LXrMezdSwkjpthSS1spRgnOPygOvI0ujGLb3MzDTYcdeJyHmQi7ZV9g5NDQLQ9BafYyGlQFMVursz5NoS6NFEQTvSkg38MGrll20PIPVHc50ppqbqFB9pkEwY9PRmWL3mifNcziWe14ajpS4tkAYDQdzOfLptW/hZb1irWhL4IcWyMxcq+aGc26Eq1EsO+d4sv/SeS/nGh+4jiIR4W4fOdqZYfekAHUtz+E7A6KEZhvdOzj1AQUgiZ7HpxavI5CVZrDrTpNCToSUVGFcOiPpCFEmLP/XIGGbOZMX2PoyETiJj0re2nZOPjqOoCm7EgpXiPRU0XZONY9l5NPrIctgNqZXat7pA30AO4frc+73DBEnZaObUPZy6KwWHMybL1nVw7xf30r25k2xPhlXrOli7sRuB9CpasBI6m7b0cN/dJ2k2PdyGT7I9KXVPoj6drS9bLUWE50FRWi0EAZmchWlpuPNDFlVl6eocU6fKlCaqWGkDK2thZi1CT3bHCiHk6MqEHifTifIkvh/gBwK77kgpAi+gPZfgto/vpDxWw0rrqJaGYUgN2KP3DaObGttfvR7fC+nsyeA6AdWKg67L3EZLwGfVmg56+3NRUlQetqUIphBN2ItC1ETKwDAF9jwSoKYpFDpSzEzVUVXZpQ2QzJosXddBcaxGrRT1xajQ3iebFmejkEhRFKpVh2rNYWBJnuTjX1bnEM9rwwHEHATE6TtWT1c5+VmrKaom57re+6OjdK4oSBGbiJqcyllk8wk0TcUPQi7+pXWcfHiUR35ygrb2JOWZJku2dPOiN28jkbXiB3b1pQNMHC1y+7/twm14WFmLvvO6SeUshBB4tmwjd5pSRUtVQYQyrleQ159qszi6a4zpkSpTX9zLiV1jLD+vh2QugZUzCYMwFiRu0bjloGjB1itXYyYMwjCMJe88L6Red8lGDXODx4vsveMEhf4siYxJs+rg1lzZ3OVLxa5U3mLVBX3s+NoBtv7KBtZu7I6MlaTbtxKLju2TTBosWdrGgX2TBF5AW3+WVGeS8nCFnrUFVl3cH5dmW+VuVVMjnVa5kFot8mqUgPT9gHrFYdWWbh6drJHqyqBZWhT6yPL0fKq15waEBihIEpluanQWkmy5dhXpjLz393zzALWpBqqlEiINtKKqGEnJgTm+Y5SN168gU0iyfEWBSy9fju8GHNo/yYljM2TbEqzb2M26jZKJbOjS+5G6qAr4IZ7tk0mnYg3QlkaLldBlb46lkW+XWrOyn0Wb/+7AMHW6l7XR3isNl5nQCcKQkydn4zwNyMSu6/jUas4vtuFoxcKnK78+U23FzYbL/3xqJ5NjNa5ZmicMZFLWipJnrQluII3ZTW+/kMO7xqjN2hR6M9JopE1qMw1Z+0/qIAR96zu54te3cujBYZZu62HNBX2k8wkqMw180yPXmaJRdnAaHom0gVBa3pVCrpDAbngMnyzymv91GT3L2qhXHPbefYrDDwzTvjpPbiBLabASsSyjuBoFPWVgZg2mT5ZIZKTsXb3qkGxP0pZPkrBkzmNw3yS1ss3aS5YAUudDQCxNJ4lpAUs2d3H/l/Zij9bI5hJRWVjS61s5qNZvli/MkZNUTWFgWzeZjMlLfveSeJbJ/Ca0Vv9Fi3mraApmwpDXEhnhZsNDN3W61nRQmW3GQ8J1Q8NxfDntLX5GiElTALmkwZLleTJZS5ZaVZg6WcY0NfSIAzPfXzUSBnbVQTQDrrt5DdmsFQ3k0li/uRvH9imXmnML3FAZOjUbH7tlJJK5xFwiVZFKXyIQvOVdctLczgeHKBcb1OouGzb1SrZrZBBkklbuy7B0dFOq1R05Ms3MzMKep9Y9ekKS9BzjeW04WpPjvcc39zyDEAIqVYdX/OZ2Th6eJgQSaQvL1NBbsngKcW9AMqEzsL2Pd37wpXzjYw+S6EySzFnUS3bMnJRvQFnWW3ZeD47vs+7iJZIr4MnZIvd9az83vG07mfYk9bIkSiXSJqgqahBycu8kdhBwzc1bZO9ExCs57/pVjJ4scvvX96NulqXgymgV35bTxTJdKVIdCQYPTTN4YIrqSI36TBNFUdj84pVccvPGKPMomIq4DSBzDSIQc1RsohAuJNaZmB2sSA9GmSO6td60rbe+78vfzkgaBLbPda/eSKo7RcP259Syot+6dW9Beh7Vkj3Hwo28ztZIA98LaNRcdEMjkzUjTo2CaWqU3EYkFhQlB6P/NF2WTH9w60FuuHE9XT0ZVKHEz1cma8VKXNA6FYFhqrz0tZvI5hI0my6gkMnIiksiKbtsS7NNMmkL1w149KFhafyi8NpKGZgpHS9qVGxdThgKTp0ocvmLVjKwNC9DcyeIemmI72uribOV3wAYH68yMVElmTRpa0tIYaGaQ3GmQTptkn9cCHiu8bw2HCDr5J777BkO6SaqHD1aJAR0NZoQFmWpW01RQSjQNIW2rEXgh2y4bAl/cukS9j86SqXhyZKfE9CsObKer8iciZEwWLqxG8PS44SgntSZGSlz6z/ez2W/LJW+7IbUxTy6c4S9Pz7B8kv7eeMfXwVCUJ214+5dzVBZsrqD865Yxl3fPCgntnckCJxw7gH1QwgEqqGS7kmRyFuEfsjJ3RMMbOxkyZZuWh25qgqNsh0Pw14AIXU0ZkeqeLb0RsrFJp09mUirQuD7Al1R4zfe1GQNVVdBCNKWxtINnYxN1ORCf1wHcst4GJZOs+4yPV5dcOxWQ1gmZ+H5UkVMVVWZA0EaiWbZoV5sYmRkl25zVs5fsbImVsJCN6Ry1z0/OcYNN62nrS3JqvN7UT8vPQMj0p4VUYLcq/lc/LI1dPZmsW0fkEzWRt0jkzGj0qlBPi8Hft3+g8OMjlbiRkARSr6LawTx8yVCSKUNsrlEFC7NVWVMS1tgiENlXo+TKmID6XkBS5bkWbq0DSMaleH7IbOzTXRdi3kwzxSe94bjyZS6nimk01acNQ9sGS4oKSUqTSqEARi6SndnGkWRiyeTT6Jq0NGbpTEkG8ystEEiI6nZU0MV2ZqtSNFdmFcYErD60iU8+OX9DO6bJN+bwXcCKqUGXkPqlG6/YTWaplCdlWXO1uAk3w3wjYA1W3q555sHCRQglLGuqqs4dXeu61ORrFY96kBNhIL9O4YwsgaF3iydA1mmhspUpmoU+rKkCtJzalUGrCjxePRBqfDWvbrA4NEi2XyCpu1RLtmRbqZCPp+kXnM5dWIWp+mTy1pc++r18TZPBhEKRk/NYjdk3kdR5Vs3DOVQ6mw+gWFoEd9CRHkwhXrZidv0VU2R3o/aou+7KJqC62ogBOOjFb7x37vZuKWHbRf1s+r8Xo48PIoU/RM4jge+PO4FL1uDorY8Lnnf6zUH2/ZIJAySKYP9u8e5/YeHqVaiMnTLQwoFekLqlqqaQiptcvX1q1m3sRvd0GIvYq49fo69G0Tn3wr95hMaV6/ulFWdeVBVhb6+rMwTPQlT9VzgeW04hBDY9pnHNj5TME2N9vYUExM1qZmQtejoSDI2WqXhBaxa3UHC0rHrLpVpFytlIhBoqkpltMrQ3gnautJ0LWsDoDRRj8hTCUrjNdKFJGraiGeddndn2Pa2C3jtWy5g+OA09916kAe+cwQUhUTOpH97H/lCMm6nj0u1gIpcGOmsSe/yNrIdaTZdNEChK02z7rL7nlPsfWAIPyrrImR3K4r0RFRd5fCOEa589UZWb+1hcqjM+GAZRdfoX9NBJp+M8xaBH3LgjpMcvnuIdHuSpVu7aTRcDh+cisPKlsGdmKhRmW0yO1EnlTK46dWbMBM6fijQpuogBP48Elyc0EU2iQ2sLDA9XqNWdqK3rczzdPZksBLy3iXTJrWIARoEgiAMMbNmTEoLIjWvlvHwbR/d0GLvUQjB3sfGSaUt3vn3L+W//u+d7PjhUXxX0sw1U2PZhb2ke9OE4ZzcoKrNKcU3Gi6aprB/zzjVsjPPYEQSCH6IGuW4srkEv/Jr59Pdm8VxfFzHj3ue5ndlh6GIJRAbdRfDjHgZQkFVtfgYmjZv2hwyHI4fjGeY8PS8NhxhKGI69rMJVVVYvbqd5cvzMXvwxNEik5M1sjmLSskm1ZdFi6T9dUPlyM5RvvqP98nxhraPoqkMbOjgRb+xDT8UZAoJAi/k0J2nWH5hP1uvXEb/QI6unoysHARS4at7SY7NVy7j0ldv4NYv7ibVnpQdrRU7XvgtpDMWycychODN77lc3jc/lPqZaZNrf3kTa8/v49uffSSahysWPFCtJrLR40VWbOlh3UUDHN01xuiRItPDFZmZ9yWJbWjvJLXpJoUlOS567Xpy3WmslIHnBtRLNslocFVr0l0iZbBiTQfXvWQt+UKSWt0hnTYxo+SeoSrxAPC4fCkk/dtueBiGrDSksqYceN30mZmo0Wx40RxW6QV68cBtBZS5vIyqa4AfX2/gtabMg65rJJMG9brLof0TXHTZUl7x+5dRFAGKL+hZkiPVnUJoKqdOFNl+4RKSSQMvytm0PM9UyqBRdzl2YJLGrC3Zq5pUTFMMFVTpfSkqbD6vn+7eLM2mh2lqshPZCWLNUXkjIiV6VTYHmpZG4AuECFHNuW1aOJNXEc+7FfPeMsqZtz9bPK8Nx1ORvOYrH51rKIoSx46u69NWSHLFwIoFYriKqpJIGQwemOJf/uD71Eo2bZ1JMvkE9arLqd0TVD78AK/8kytIZy3GD0xTGq7y4te3s+38vrgSgBAoURmzXnOxKzbnX7WC6bLNo/cPEvohR3dPsG5bL7oh9TYzbRapjEVLcND3AhJJg8APmC01o+SaXDMDqwpccM0K7v/+kbjhTibpFFllCULKU3V0Q2Xllh56lxcYP1mkWXOxkgYbz+vlyAMjHH94jPNfsZY1ly6JwyB5r2TuQxr6OUOgqgor13WQSulUq05UoVHp6c0yMlyOw5rWTxgEIZNjFYoTdVw3IJM1KXSlGToxi66pBMFcqND61ZMpg3w+xWyxjusE+JGMpO8EmClDDo6KBlC39FsURSGVMuUIyoQ0HsePTPO9r+8j3ZWmrT3JivWdC3JrQ0MlVq5ql+LHERHLilTtH7z3FE6kxibCKDkcaW9YKYPffOclACSSOqalYUWiykEQStbqvHxEOK9VQiDQdQ1dJ+4qPhuEoXhiqK+0vJmfzYA8bw2HCKM48ynwTBoPIZCsVQHZrEnT9kDIG24Y8s2y4ycn+PpHHqBcbJLrTGJEIxfSbRZWyqAyVWd01wTX/toWVqwosGZLD+u29+G6PppuxuQyOZZBBT+kWXFJ55Nsu3AgMhw+tbrLxEiFvmWyTV5qosrvzR/MpOkauUKSymxTDveZauCNhhT6sqCISJVMvn6SkUyfXXdRVIWZ4QqKopDvybByS69kwboBqXySjVcu5fufexR31qY9bdK3uh2n7uEpMDNTx43e5mrU0SqEIJk26enL4jyu2au9PYWmKUxM1LCj+awiFAwfn2VqrIoezR/JFpLYTQ9dUwmjcmwrHNIN6TE0ai65NovX/cb5uI7P+GiVb311N77tx0OnjKTMMWhRM6AQxAlVzwtwHZ9v/PdumcRW5ayUFielpWW7+9FRXMdn5ap2TEvHV2B6tMp9tx9n795xmYBWFTRDRYmEgBRVIV9IkkzKsY+JpIGmqTEbV9dVOjoWylS2PFwAu+lTLttoqkKhPXVWJVYhmHPjFnzQYkb/bN7H89JwCCFoNJ6eajk8c8ajUXFo1l0K3WmaTY8gAC0abOy6Aaals2xVB5PHSvKBUaTsmxklH3VDRVVVju0a46KXrSGVt9hw0QCKArbtk4kmerWuWUGJ+lXAqcthUR19WZauWY6R0JmaaaAldLoiGTuphubRqLkUulIQydGZCQPXr/PQPaeoVud6RtpXdVAdreJHg56slPRQ6tNNjo7WOXz3ECiQzifYeOUy1lzcHz9cxVKTt3745axa3S71R2yPbIcUr+keyHJw3yROxAhVot9k2fI8ycTpSUht+STt7SlOHi9yeP8kJ49O43st7ymkrT2J5/pMj9fJ5CzqFQdNn6Orp9OyC9ewNIaHyoyNlOnqzrBmfSdXv3gNP/jmAQgFpaEy1dEayfYknes74gRko+5Sr809M60uaE1RZXViukFXXwZQ4sTsgQOTnDxZxNA0dn3vCA9/+xDZgRwDF/SiqgpmW2KBpp4CrN7QiesGhEQ5kqSstqiaElWW5m2vSL5GC8mUgWnKMQvnnJfxM+ZAnpeGw3Ofnmr5MwIBjuNjmhqhENIIKHL0o0IYMxxdN6De9FAtTSa4QoGhR6W8+TFoJNxjWJqU9Nej8qGixPNq54ehhqXFPTljQyVWbpKlUjfiPZw8MsP0lCReZVMmmhpNko+IYiBo1Bzuu+MEjZqLaWoYlkYYIt/OS7L4NU+yGd2A4lAZu+RiJnU5ogBBrdhk57cP43sBay4eQAhBpeJw8ZW9klAVBiiGRqjIngnT1Fm2Is/RQ9NxXi6XT5CKGrpOp9amIN98d912lFp1rhLRnLUx0waV4hz1v1V5aBkx05ReXRiG8p47LrWqS6FdXtOW8/q4+0dHaVRdGtM2ftOnsLwtFiiKz2HeC0dRJWNULmqVydEKhqnS1p5CN+Zms04OVrj9X3fSqMhxB5XRKu2r8uT6shHLdx6ZDTh5fJZt223MhI7rBFgJY07M+XHnMv//LejG4xTUzxF+VoX056XmaKsz9ExoDQqa/9+5QrPpUS42CEKBaWkyo42CYaqYpoYfCGbLNrMVh2rdxVUUele3oxty4PP8B0KEUptzxdZu2vuyJLImzaYntxFCxsXzIJ8ZBStloFs6J48XUVXiUZFaNDnetQNs28f2AsyUKcuMjo9M48PxIzM06x6JpB659rKqIN9eKqql4doenuPj1f2obGxGk+m1WAF9352nCP2QPbtG6F/ahqap2E1PlgmVuTyGa/skE7o8XiRsk4k6a1VVjWedzF2oNDj33nmces2lpX8KSD0MTSWZMrAiKcV4Kpx4IhEqCGW1yIySi67rY1o6PQM5UlmLl79pG+//8q+ycmPnaX/vFi9C6n3MLfogEIycLDF0bIbZqTpTo1WO7Z3gWx+4m+p0Y26BRwYl8AJCN9JvjXpYFAVqFYfjR2fQNZVUpFUy//xbx36h4XnpcTyZHXimp1fpuvyBq8Ume+4fYusVS6VLHwiaNYdS3cOLtClbBmDbDau4/T8eoVJsksqasdBNdaZJMmtyWaTmrTgKw8NlVq1ql8Ivtsyu6/MmigVhSLaQ5PiBSXwBaiRAbCY0rJR88FqjBzwvjEWIHSdA16WhGxsuxwuwNafEdXx0U0fVQkRCZ+P5fYwemmb2VAUzOTeOoMUVMFMGTs3FmW1y5XWrSSQMNF2lTZfGw44UvPbcP8jeB4dp1lyCUNA+kKVnVTuplEnYK6iWbdryyfgaBQLPC3Edf0FTHIqCIiDRJmelJJI6bjS8SFGI595ourIgvLObHu0dabq604A0VK2cUe/SHJMVmx/cepCZ6fpZPwtBICgVbUqzNpmMRbVoI/y5RHbXQI5lm7rw20xc28dr+qi6EinBK3E/06kTRS66dCm+F6Dr6rxy63NnMH4uk6PPpQE2opjynu/t5X8++iCZNovf+9CNdC3J4QZC8iFoDf6BesVmw5XLaJYcHrr1EOXpRqTHIudyvPI9l5JrTzE9UiHTnmRosEQmY9LdlSEIRUQi0qU6VSio1Vzu/eYBfvzfe7n2LdvRDQM/8Kg1fUoV2XBm6KqcU1JIYiU0ELLX5OSBCUaPztJwpDpW4IfYDQ+7IWnSZsqIk2+Z9iQRD5aWBOLcgpRvRVVVsAyddNqU0+5dX7450yaBH/Kjr+9n+FgRRZUutdP0GD40w9RQBeeyJaxe2xG/ZWNqOdJgOrbP2HBl4c2fF9LUKg5mVH2olGzyHSmKU3VZvm16ET3bx7J0LrpsaezpJVMGxek6xWIjevtrNFpyij8lFGT/ErqCZmmYpsZvvf86Lrp+FUKBL3xuFyIUNCtOHHbJEY1y5EGp2Iy9M+AJYcozgfm/55k+/1lwzgzH9773Pf7pn/4Jz/N41atexXve856f/qQMjSB4YrjybMzKbM3bWH9eH3/xmV/GabjsuOcEV758HXpUMWllwZt1j3qkzvXit5zP5muXc/TeIZyaS/fK/397fx5lWXaV96K/tfvTR5zo24zs++p7NVUqdZQkShI2YODyQPeZ5tpv2JdhY/s+sDED32fMZWCbzjKYYRuQLAkkQBgJyWpLqr6vrMrMqso2MjIy+ojTn92u98fae0dEZmQfWZlZFR8jKUW3zz777DX3XHN+8/s6uP2DW8kWlYK46Rg0qy7TE1UW5pts29bFlm1d2JZBve5z4sQ0b74xx+x4hZe+dJgwiliaaVAyNeoNf3lKGHDjRdxq+QSBpFCwOPHaDN/9zAHaDY/OLR10jJRYaimzaREzLFt1F93UlceJLij2qAG0pIOQBhBUTUUzNLqHCul0ahgEzE5XKZWznD66wMTReWzHwHLUHIYwNHRd4jY8Jg7P4fzgHqU7EclU8SyhVh99fY5269yuWfIkdN1QSSpICJsBpunRN1igstjGc5XvyLadPey/fZCOWC80E2eGzz41rrKXjInrBucwLJPzuNTbSUqVfThZk96dZX785+/ljoe30Kx7NGsuxYLN/HyTzr48ZsakueJ9SQmLC00+/6cvsmtPL109OYY3dVKMp6LPft/nu8cvOUMQy4HpfLYJSWH2arAugWN2dpbf+I3f4Itf/CKFQoGf+Zmf4Xvf+x7vec97ruh4lq0KSdfDVDcMIzRNY9OObmqVNq5rUQsi/varr7Pv1gFKnVk0TRX2Qi/Esgy8tmIB9m3upKPkMD9RVaPxQnDi9TmklJwZX6LthgyPdNAxkCcMJc89f5qlhSauq4rBQgh026BjMI8fRFTqbfS6tSoTSCAltJoBszN1ZmYkT/zZa7QbHmbGoL3YJuzPK2uEMIJ4TkzTYr+Q01UmOzN0b+qg0J2lOtvEKVjp3jsKlEn14I4yPcNFtXCCCNMysG2DymyTF759nKXJupqBMTSsgoWVNxFCQ+oSt9KmkDdpuyHhihOXQDUeXsvl7dQOAM5dzDKp/EuVgTTqHqVOByfjgBB09+bo7MxgO4oKf+Z0lae+d5zxE4sUikr6QDfUv2bDX8XLuNitJQQUSg65oo1A8WuGRzq47Y4hbnn3GNWFNm488LZ9WxcLCy2aTY9s3kIKaDVXB8XpM1UCX7nabdrcyY/85B2r62EXOCHlcO+SL1x4cE1t6Za3vUmHZlWxfp1IYOsSOB5//HHuu+8+yuUyAJ/4xCf4yle+csWBQwhBJqd69G81EjHkpfkm3/2b1znwzIS6IQo2e3b0oHUJKvMtavPNZetJAY2qh274fPm3n2RxSsns5TscpK1h5yzueWQHm0Y7CLwQt+bhFG36B4oUCjZHXp9TBUM3wLA0evf20lhqEUbKCUxcILV1vYD2Upt2zaM8VGDnvcOM7Oyh2VSkpnYyhUpcxGsGuDWXidfn6Bvr4K5Hd/L0lw4p5fBkFkIIyoMF7v7BnWe9msRyTJ7/xjFee+wkgR+m7U3mVPDp3FRKGa5eW83mJKSmXM4im7Po7c6xc1cv732/z8EDUyAlO/f0oesaZ05XePG5CXVNiFu7mpoWtSydbBwQ5qZrfPvrR3jiO8fp7FaetW03pKOodEB1XSOMIhp1F88NL8tKwzA1Nm1LtlkqcnUjyGZN7rt/E5altj+GpajkW3f0ICydF58/rbJAX+l/hvGIgIjrUdWKSy5vcc+7xi578XpeqO7D7Hk8jeM29apvpZ2ay3qpS8K6BI6ZmRl6e3vTr3t7e6/aI9YwYhWm8yhFXytommBuqs7/+N0nlSFQHBz8ls83vnCAez60nfJAASOebhWgDHp0wXc/d4DJo4tJc4N6xQUN7vn4LvpGO3BbvnIU8yPF98iYZIsWtpQ8+Rev47eUeVDHaAmzsFwbWBZeVo9kKZdvkiiUtOo+fZs6+MBP3062YBOGIUWyDIx1Mn26ysGnxlmaaSCjCMsxMS2dVs0lCiM6+vM8+FO3Mf7qDJUzNayMQd/mTga2l8nkrLNuRsGZE4s8+TdvxAtapEbVMpS0qx616QbZsoNl2yr4N5S+RWc5i20bRFFEhKoZ2LbBux/agu+HtJpqO7Z5WxejY5187zvHeObxk+nTUtdVUG81PKJQYpo6Rqfq9bbiwm8YhMxM1dTcShDSaHi02wGJP4tExqZIF96qDG/uJFew4wxFRVM9lgo4/PoMt+zvJ5O3yA/acWsYhrd1cdd9mzjy5iyHX5tmaLjE1//m9biArvSp9906wC23DzE4UrzkxRwEEYEfksvbFxwOFPF9ktx7yfduaO/YKFprD7l8wldiOi2lPCdoXEuW6Ep8538eZmG2QaEzQ63qokUapZJDs+7ynS++yp0PbmFkdw9O3kqLkN//89c4+Pip1bMBABGM7lCtwDBQFoTqA1Uj8X47pKe/SKvSRuiCoObSfGUap8Nh033D6bHkqoMuQ9MEZtbgPT+8l0zeoh6LyiStxf7hEsUPbeer//0FZXrtBnFJVDI/Vad7oIDQBaP7e9Fu66NQdFT240cUiw6GoaeeJACvPj6O74WYjkG4Ih0XmkBEkuZCG6dk0zVSTFW7DNPAsoy01mAYGvmiSrtFvIVqNZUlQ7vlk81aPPDezbx5eJbF+Wa86AXNuker6akZjPhvs3kLq2ArsZ54Tx8GEfWmn3qipHt+QMSU6/PZazhZk3zRjhX1ZUrbdxxlNF6rutRqHl3dubRTlBw/V7C49Y4hdu7uAySPfesoccLCbXcN85FP7MWPrTMvhqQzFAQhQRAhg5BM5jzZBqQzXXLFPZK830R1bD2xLoGjv7+fZ555Jv16ZmaG/v7+9OsrMZ323LW5HNc6eNQrbY68Op2aT3ttlQUglA+r1w544i8PUvyGQ89YJ6XhAq8/P8HkwblVI9HJYpehVFmAHylasnoTSn/SDwll7EWiCYJWkD4F67MNlk4u0TVUuCDDr93wEKGk1JenWXWV0I5YnlNp1V2yRZvRXT2Mv6HSfzUVKzh9cgnd0il1ZhRdWlfzE2qWw0QLFeXctFSBNQolc6erRKHyX9VjceK0GCEEMoyUlWXO4sxEhYGhEkJbfguaUANgQRAqy4R48tW0jPQzbzY9iiWHXXv7ePKx4/EiT7ZbIEXCIxE0a55q77YDSiUHK6cCXcL2FILlLCMeHLNtI+WjnI1M1kTTNAI/SJ/YQhMxNT0EDeoNj/6BImEYrWqlE18KwxSAxn3vGuOZJ06SzVvc954xYDWH40JQ61zGAtik99blQsaXbr0Tj3UhgN1///089dRTzM3N4fs+X/7yl3nooYeu6pied37xnmvZ/27UXMJQdRm8doDvBgRuLJarKbowusbiZJ3TR+ZpIlmcbKxYOyIJ9WmXojLbSLU1gXhQSxDEdou1haZyjV+hiEUEkwdmUmHf1ReAVK6vMtfEzpipvWP6L1JCz9OTVV5/dRph6RTKWYgkEuVOjxCMH5nn+CvTNBZatGse8xNVND9iy9Yy5d4cXltxNpZmmzzztSNMHl+iVfNASkzHxIzdzZJgZdoGH/qR/Tz48BbmF5pMTiyhiWVilwQaDU/xM+I3e75PM5c7zxNWxgEknvlw42vn+8rISTc0Nm8tqynVOJA7GZNShwNSOadZtkE2Z6YFxHRGJI7cTsZQ4/jx5+V7IdVKS83WRFHK+j3noxFqmy0E7L99gL23DvCuh7aoTO4ykNSOlOm2ukpXKs6T8IrWE+uScfT19fGLv/iLfOpTn8LzPB5++GE++MEPXtUxLybgszJ4rOdFSURivFgvQUbgNn3cto/tKF0EvxUgkJQ2lZR8XN6kudA6awUkLQE4/PQEQ7u6sTKmskiMoRlq6Rx6/NTyfjROFZLFf+rFKTbfM8RKCT9NqGnYVsXl2HfH8Xd3s++uIcysSeiF6JpGvdbmyOtz6fxI4IVoOZOCVaBdc3E6HKSUzL25wPh0gyOmjpUxlO1hO2Bwa5kf/T8f4PCLk7z65CnefPHMsvO5UINjQgNNaGpi1A8RIey+d4ite3oJgohsTrFHjx6dZ+vWLjwvip/0EYahI5Gpl26whjxkfcWczcUghBoVME0N09TZtbeXqckqUSTJZJR+R7PhqW1PpOQH3/XQZl57+QxdPTmyWYt63WV2to5l67gri8rJddfUZPKpkxX6+wsUS5nzno+ua/T0FXj4Q9sJYzZpfKaX/J6CIIqLuipLeiv4H5eKdeNxPPLIIzzyyCPrdbg1WnNX2d9eA8khU/awhGzOZuet/TzzneOpzQDA0nyTXMHGtHUWZ5uYho5TUNOt3Vs6WThVVW1PIzkfmVo5HH9lisZim0JXBiujXNnNWI/h+CtTvPb4yXPeR5KtzB9dpG9nF5mCcqXXhApktdkmx5+ewHcDTh6Yob7QItfhoOuCXMHmwMuT+H5IJh6aa0uJaWqQMZXDvaHjtwPqZ+rkCzb5mGYeRZJM3mLy6AJ/+Z+e4R/+Px9maanN1FSNKJRkOmzqM01ai21kO0A3dbXAfEmpJ8u7PrEb09SxbPX+Aj/Edgymp+rxcJ56f0EQpi3eVtNd1vmMB9iCIOL0qSVMS1uht3F+JDNB9ZrHth3d7NzTx9RkjVdfPhPPBqlMJ+OYuG7IyGgHe/b3c/+7NxMlE8oAAo6+MUej5bMw12B+vpkqvwlNubpNnVzivQ9tuaR7TDc1co65qsMhJSsmiddGsjUxDP0cdvGNgBuSOQpqPiHx3lxJfjobV5NtrAwYycMe4I73jvHE199MJ1YRqntRq7QZHO3ACSTHX57m9GszqprvhxS6s9TmmmkdI9mxaIaGk7c5fmKBYiVDV28ey9SZPrHE6eMLPPOXhwn9aPVNpO4srJyFaercetsguXIGzws58NhJDj95CmLNCd1U26en/vp1HvzRfWQKNlMTVdpNH8sx0q5INtaOCIIIt+UTBhFRxUMXyvnN9cJUPEYIQSZvMXF0gfnJGve8fysTc3USseLCQIHFE0tUJ2uEXoima2y7c4AP/2+3Mri5M96mqbdiGGqIz3MDzpyu0tufT4NiQvISQpDLK75K8mSt1Vze/8hO3jw8w0vPnV5NT18DaWtcg6VKiyceO87AUJHZ6TqnTi4q5mZcr9i0qZP3fWgbxZKjyFByNVt2x+5e3JhkNjtb56WXJmm3fBanG0xNVNIt16XAWRE01H2hqqXne+Atf191jixrfZboeksJ3rCBQ9MF+ElgWE771xtRvBiSayqAI69ME3hKXyFVY5MSIjh9fBHf9XGDiBNPTSrvDFSAyPVkk44poG5EO2+x8+ExcgWb6fEKc5M1hKHht3wOfvMYmqERerFpjxZX8oQy70mEfjw3JJprEUURhx47ge8GZHI2TsbEi6dxT742w1f/4Dnu+oHtSEdNVGqaOOeqmaZGqwnbdnRz8rkzq26oKK6xaLGKudsKaFRdPG1Z1R3Azhh87H+/gx27evBbqhVq5Q0SttZaAdmyDU4dX+TlFybIZi18P2JhvsH8bIPb7hxm720DOHFbW0rlnZrJFOjrL7Bn3wBf/PxLLMyusAKQy/0DmZ63qvPMTtWZna6nkoP5goXbDunty/Pu92+lt69ANqsWdLXS5tWXz9DTm2d4Uwe+F+K2g7Tw2dOTZ8tYmS//+StEIWnH6mLbhgst0ktZwOtdx1vvfsINGziSbCMIzq1cX/ExgzAd/Dr7QkrUE6lRbZMv2oqqbaiClB+LzYi4eDZ3eBG/6VPozGBmTDwvwG8HVCZr9OzoontLB34rwClYDO3vo3eggO+Hy732IMLOWYzs6+PoMxNxcBIgJLoZj8HHbcWx/b3pOLjfDvHdEN3SlY/KQAFhCGQES6ernH55mq98+lk+8YvvUjyLOOAGfpS2QvU40BU6lI0DkIrKrJxSVXqYOsWuDE89NZ6OkRiGxsd/+BZGN3cyO1unGYToUiIsNaEq5epruzJ4jGzuoKcvT73mcujAFMdie8fvfvMIVlZnz55+RXSqe2nGJiNJuTvDRx7dw+f++AV1X0i56okvE08XTYn1RJGksyvLwlyTMJRUllw0De66fxO7dvelz6CZqRpf+twrmJbG3h+/nWbDw42VzDVdxAV6j9GxToZGOlhcaFGvuvT25S/aHUlG7N+uuCEDRxRFaep5tYVPKVVFfOpUhf/xe0+RK9jc9sAod713M07WVB+uDtOnKjz3jWMcPzRLtmAR+RFCaER+GG8/hHJ9n2/RWmyjmRq6qWPHI+qaoaFbOgvHl+jdUSaMIgb29lAqZ1QxMfZlcVvx+LsGma4MpXKWXXcP8erj4zHjULmiE0SUhwrc+cj21EbByhg4OZPePT10DBeRYYTvhghN0L25k2JfntrJJfJFR/nReFE8qyHT4msi1+f5IWO39PHaYydo1zwKncoHVqIq+e2Gz577h4l0wdE3ZtMAsHt/P919eZ5/fkItsjjD0jRBoWgzOtpBGNcLVj2Z48QxQgkr33n/KLqucfCVKQBGNnVS7MhQrbTSgJF0EtqtgL6BIpu3lhk/sUSz5qY8FSFlPNsUqS2tlNgZi2Zj9dYml7fZvX85aESR5G//+jCVpRZ33TeCaWo0G176UEle3/MjnIxJuSvH9Jka/YNFPvjRnXFwvED6L5c5FTfj2PzFcEMGjpUV9sQ/80ogpWRpoYVpaLzy1CmkVEXOb/3VIY68NsPf+wfKhPml753glcfHadY8xl+fpVn3lGSdY+B0WCAFYRDSWmjTmG2qGzRWwcrE/qqJ3mboRUwemKYwUMC0jJT/IKXyYkkCYXJztmoezarLR37mTt54fpL5yRrZvMXue4axc6bSnLSUCXUmb7Hv4S24miTwglX6oX7Lx86Z9Nw7jJXRKHY4TE/W1Ah3PNSUmCdlCjbTZ2oUijZ3f2wHL/7tESrzTdXSjVucvaMlHv57txCEaqbEcxWxbOeeXl5/fYZ2W3UwEl5NFMlYP1PQ16+4JyufuFJK8nmbnu58uh3pKGWYnKiwtNBiYbZBT0+eKJLYtoFuqLF0I651CaHqBQnNXaRVRiBu9UKkBvIENFvLhW3L0nn0h/elAsFCwOREhdnpWrplWcmVEGkwXE7xIynZtKXMD/zgbjrL2XSLdyn8ilQs6AoDSKLSfjXQbkQC2HrDWyHkc6nvdy1imB8b7EyeWOTkm/Nxh0HdfONH5nnpyXH23znE6PZutu7vR6BUsp75xhG+88WDVBdahO0QI2vSnlVO7kJLqNZqG9Vs+xixpqUXWzkkWxoRKqPqIIioLbRUSzQ2J9J0jfpsk2zB4s0XzrBpby8f+qnbVRoeSWV7ICXf+rPXuOejO6gttnnx60dxNUmmnCH0ojU6T1BvBxx4aZql2boKcCtqNLqh4WQt5TvqhzTqHiN7eth75yAvfus4E28uYDk6u+8ZZt97NqWSdSNjnTRqngoQyFVBA9TTO/ETmfbr6JpQA1lC1VScjEm5nCWTsVQ2GetR9PTmeM/7tvI/v/QqU6er7Nzdp9i1gRo0zBeVarqyB4DB0Q6OvzFHfa6JmTHRTC1dEF09Oca2ltF0jYWFJsfenCObsxjb2sWDH9hKT19BucML1YqtLLbilrEZD6Cp7s9K4mGiCxJFktnpOnffN0pnOZv+7HLuz+QzuJLgoWmCiKtU/F/npOeGChxSSlpNj2hFS/9SmKIrZddW/u7SfJOXHh/nyGvTq7OY2MynqzePYeoqw1hsITRBJmvx3kd3EwWSb3zhVSzDoDbXJHQD1bYLVGZhZG1laxhJdFtlRbqj4+keTmy/N39ykYF9fXixkA6oz8+I+Ra1MzUs26BZ83j9mdPsvm+YesNjfqZBGER0ljPouuD0oVm+/bkDuK2Are8dXfUek6e3bmpoZuxrEqk2Z+B7FDoy6LoS6U0yD7niMTk/32Lf+/oZ3Nq1fExN1ZhaTR/D1Hjvw9so5G1eeu4083NKEyMI1FNMNwS1qhuP3gvCKOKFp0/RqHl4fsjwWAd33DtCX2+BMAxXsDUl7VbIM4+fxDR1Dr82wwPv3UI2Z9Fu+URRpKQO4xZzux3Q058naxu0FlpoXWDYqivy/h/Yyd5bBzBNPd0eeF5IV3funPskoZE7sTZJFEkqS22OHZln+84e1e2J2/AJUezI4VmqS226elYf761ClJLArhxXyjw9H26YwKGChp8WRVfiQsHjQhH88ItnOHVs4RwLSSklm3d20z9col51aTf9NE1v1l1yRZt7P7SN5751jPpSm6AdEkWS1mKbdtXFKdpYGeX8np6WUMzSTGeGkW1lOvryKQsVlK1hAq/hM/HyFI2Ki4jp1M2ayxuvz1GrKwMiiRIItgfyPPONo3huSL5kE7SCNJeOImAFC1UIgTS0ZeMmwDCNVaxVdQGguyfH4EhJaatGK3gzcS3E9xQl3DIVj2DvrX3MLzSZnW0qjkZ8vChmsKZBKQI/iJQ1gWZRqXo8/cQ4Bw9Ms29/P2Oby/HnBkfemKNedymUHBbmGzz5/RO8O3aR99wgbetGkaRabSMEdA3kyWRNjJi1+a6HtnDrXcN4XkC12gaUJmm5a9nsevleWb5fRsc6KZYcKkttCkWL5548idsO2Lm7l8KKovGR12f4xldfp2+gwPBoB2EoL5k2vhauJOtYj46IjCRSXPl26WzcMIEjDKMLChRf6hteKYhy90ObufW+EY6/Psu3/vIgc6dqVKbV03zLT98W1x+UrH9iqSg0QavhkSvYDG3p5Mgr09gZg2qthVfz0HQNOyZ+rS7tQyZnYlg6vf0FHvw7e0ETNFs+bxyc4YUnjxJJpeFRna6n9oSuGxC0A4qjRZYq7dR2QUbQqLoEQUTv3h4WTlWoV1xaB2YoDOQxbINW1aVyukZzSWVLHUNFfDega7QUzyeo96cbBlIkxUa47Y4h+mOrQEUyUv+NQhVBkjpHIufvtgMWFlz8SKKHEbYwUu+QcIXdgpJDDAiieF5DQiQVNbve8Hj2mQlMU2douIQQgqUF1V7VdYFp6Dzz+AmqSy3uvn8TXT1ZolCyMN8ETY26d3fn+eDH99Cquhw7sYRtG9xyxzBhEKZZghCCbM48/3xHHBxNU+ehD27nK391kGrFxbZ1Hv/OMZ7+/nGGRjoxDI2Z6TpLi006y1ke+fhulaHE9aqbseC5nlnHjRM4AvVkXk9IqURxewaKzB6rMDdZjQlRylc0IWvJSFX7AUQk1WCFUDTqHbcPMHemyovHj8UDTMt7ey1eHDKSWBmTcn+B2mKLQ09N4LcCuoaL3PrgZvbs7+f1J07x5tMTGJa+SmxFRhLDNsh0ZdX8h6lMthen68p5DImVNSkOFZk6NIeouYy/cIbuzZ0cf3oCr+GnC3fhZEWJ8DQ8djwwgtVfwPUCgoQGIyXbdvQwMFRUkv2uGqozDY1cQRkUyUiqjCHmkSQF2FOnllQwMfUVRkoizQqStH9poamuEYAGMlJ1EsdSYjqHDs6waawznVyVUj3ZcwUL2zYZP7HIoVen6O1TJs/v/eA29t86kM6FCCHoG+tkcqbBwHCJTNbE90MKRQcRb7H8WGBpzSfsii937unFdgyeffIkp09VlIl4ZwbL1vG8gK6eHHfdN8KufX2pDoami1WExMsdfbgZA85auGECx3rg7A8uk7Nw2z7f+PwB6ottRY+Of2V6ogKoGQ4ro1S8knTdsg1aNZfZ06rDMR0vSAQYjnrarroBNImTt2jWXZo1l3bLp7bYRgJPfeVNPvYzd3Lb+8aYPLJAY74FhLEpsppU7RgqoJmKCEYeagstJednakrIRwhyXZn4PcLUwTlm3lhQT87YwyX0QsJAzankDIP3fXg7mqYMhZaW2hx8dZp222N0U2fc7lbbrDBxPvNDcgWbyaMLjB9dwMqZfOgHd9NsBei6YKnSThdvEERAMjKvEQpVU5ifqtP2Q5yshQBV/9GVI54igeksLrZo1D18P2TT1jIvPX+aWsVF0wWOY5LLWxiGxuJii1KHw959yrPE95cd6cePL5LJmvT25VN3tARmTIGXcWpx9lM2cbBLvje2pczYlrKqq0g113Kxxb3eZKqbETcMAT59Cl9BQD6fRYIQiuh07MA0dlZpY1q2Tqmc4fTRRebO1Mh3ZDBNPa5BCOyMiWUbHHzuNLXFFhNHF7AcU/1t3sSJpeTORrPmUl1oAZAr2uRKNtm8SX2pxZc//SzZrMXm+4YZ2tdLtjODlbHIdatg4LXUdGcYKoKX1w5WCNvG7zFarQQWBRGRH+HWPNyapywPbZNiV5bp8SUmjy7SqHvUay66Bnv29pDPKXUs349rM3EHR21NlLdq4IUcfOwktdN16jUP2zHo6MhgGqsNjoMgwvNCAj9icnyJI6/NKIPkeDI0mT1JjJOSrZN6M9DRkaG/v8CuPb3ohqK6u+1AmTF7IU7G4KEPbl82t4otB1Z+yr1DhbRDk7ijRWddp3PuCwHNpnvO4ncyJtmsdUkZwdXUOK4n3pbFUSN2AY/CaF03LJomuPN9W3j6a0codGTSmzoIIv7yPz/LR3/6DgY3d5KNR67DIOTo63O8+NJpfC+koydHFEnKoyXqS21iWfBzXichrFlZM3ZjU+pY2YKddk0yRZvM/l4G9/fSrrq88e3jqrDZCvAaPpmCHatjq6diFEiEHvNRJqorRcDXRL5kYzoG1bkmE0cXODVZVROioWrFFoq20jaFVIndsHSyWQsj1tZw8hY/9I/uI5O3aLQ8Ig3ars/O3T08/+zp1ft7KYkkZAsOGcdULU5fMVuFJsjnlVRgAs8NyeUtCiWbRt1j+kyNBz+wjbGtXTz/9DhzMw0Egq07urnr3hE2bekiDJcL25qmMoixrV2cODZPqTPDwkKT7u68kgoMkzmh2JrAD1O/lQRqDEgo/5XEBX6dcLEO4PXcpqy3HcMNEziEEMoLtOml++pLwcVbtXD7g2NU5hrc88FtdMcFxIPPnuaF75zgP/1//xf3PLKNrXcOIYEzpyucPL7I0lyLTD6+6cWyGbCMX3OtRazpgmI5kxKKiJsbmiY4fmCazu1lgnaA3/BozDRxHJN80SH0Q+aOLNA9WiKMWxxREKFbOrqps3S6yuJkTc3vnIcIpOkC0zbiLZXg2JvzmCUbw9CwbZ0wlMzPqNmQ/sEi7ZaPEIrtiYBGzUMXyq9VCKgttZChxLB0eoaKdHXnGN3UwfjJRUzLwNAFQSDx/YBSp8N9949SrbSZnqpx6lSVKIoUb0ao66UUyyW7dvUoIt5ii6HREhnHZMfuHnbuWZaeFIIVbFcN3w9SMWfL1rnl9kFaLaW/2Wz6zM816CxnUpNwgHbbxzsrcESRZPzEIk7G4OSxRU4eX0BKyaaxMntv7b9szYy177cbLxtJuEfriRsmcABplX89IYRgaEsnH/+ZuxC6RuAGZHIW93xwK9tu6eePf/0xpudbVJ+dQDeWU2mv4qJpGs26RxRESrxGrJ4+SP53FEYIXWUYhqmlN7lEmUDLSGlfBu2AE89MIoOIXMlG0wTtukcUSbYMFtmytcyRw7MYlgbohEHE7JEFTr1wBiGJBYYEpe4cizONNZzIlWWD6RhoWaVIrukidoBTP3/l+dOUu7M4GbU1Szo7uhC02z7Zgk295mI4JjKMCL2Q+TN1eoaLjGwqIYDp6Tquq6ZpB4dK7Nzdg9BUYbHUmWHLtm6efebUqolWw9DYs7eXPXv78VyfgcFiWmhey4owYW2GYUR1qZ1uLTRd0NOX52Of3JdmIGEYsbjYwo2JabqhEUaSYjwRDCpoLMw18N2Ar/7VQaqVdnqvnTy2wIvPTfDxH97P4HDpsu6tmwEqy3obT8eGYXReLcirgaZrOHmL6fFKmqIDdPbm+Mj/fgfPPj+BrmtUl9r4fkguZ1GfadKoKOXvi2Y1MSU4CtSMjb7iyee7AV47oLytk0zJYeyuARbGqwQNjzCUdPTm2P+eTQzt6aYy3+TYY+PUa22iEOoLzVg0SL1GLm/z4A/v4a73b+VbnzvAs//rKL4XIInZmwstDFOnZ0c57t7EzM4wSof7Zs7UeOzrR7jlriGGN3WobKAdcOzwHP2jJZwwvsEECE1H6Bqhp+oumYzJ9l09bNvZnXJjnIyRLuqUIzHawdBQiZMnF6kstTEtndHRDjo7VU1HN9TcjurOnOeaxm3hMFSCQG5bDRpmY6kBkIRxazSZYm22VE0njLsedlwfiSJJtdJm6kyVZ588RWWppUbqE8HnSEkmfOUvD/LTP3/vJQ1V3ixBA1Bt8UiiaW9DHgdwXgOZ9YBlG5T78tQWW0olOx7h3n5LPy+/OkW95mJaOktnapx86hStJXf5XC5yTkIoFTDfC5ker+BkYyk/1KI1HYOerWUEUB4tMby/j76eHMOjJQqdGRZmGzz+7WO4TZ/FqbpigeoapmkQ+coMaeddg9z5gS0Mbu3CcHR69/bQd7rC7JEF/Hii08pZfODH9jM+U8P3wlUtQxl3DNotnzOnq5w5XeXvfepOpqZqPPfd4zRaPj8weK6+qdAETsFSxtpSzaMszKt5nXzBprOcIZNZdqRPOi+mqbF9+2q/Vj/W7tBjQpoQSZ/4XCRKY8eOzDE03KFqJQIyjkkYRtSrLsVYxSwJ7NmMSaPhEYUR2ayFHttBel6IbRtksibzsw1lSJUIGEu1lczkLBYXmrx5eIbd+/rXPKebGuu8rm6owHEl0fByxItzRZtc0T7n+w9/cBvViouhC37vX3yd9pK3LAFyCfMBTt7i0X90L5W5Js/+zzdoVtpqVN3W6Rvr4O4f3EnVDWIne0mz7nFops6xo/MMj3bQaihdT+I5EBuDnGNiljNQzvDuT+5i3wOjVOcaBH7I4eemOfbmPL07uhjY3U11tkm75WPlLETepDPIMj1ZXSbDRZJmy6eznMU0Vb3DsnSWFpuqFhBneafHl+jqyZ0zAxPGMzevHphidqaxfL2FIJMxuO2OIYrxddViiYAoAk1bDgzNhkuj4dPTm1eet7q44Nh50kbdNNaJlIJ6zaXZ9BgYLFGptFWGF6psI8k8NE0jm1Fu8BnHSDsupqmxON+iVlFKY+aKtnwC09RotWBmqs7O3TLN1i4FZ99/N2o28rYkgAGp2/uF/CPWA+l9H/+/nt48/YMl3jwwhVO0aVdcdEfpb4bu+UWTE7znR/fSPVwi2+Hw0X9wD1NHF9AMQddQib5NHUgk+bkmh14+w/xsQwkECUGr7rE011Tnk7i0d9rUphpE8VCalJLNe3sJYjtE3w85eXwR01SFQoSg1JtDxq3gV56fJFuwCEJJveYqDoQXIiEtiDqOcrGfOLlEZ28OiZI4fPPwLJu3d1Mo2ooBGlPJMxmTN9+YY3qqjq5rmKamzJ3jMYGXX5zk/ndtUkEpWGZWKl6aTJW3Etd63wuRpgpeZ8PzQho1N9X++NsvH2RkUyf7bx9KrRvSzxGJEBqGsczXKBRsQJy1QAQd5QzVqrpGSUBZeT8oJrCkWHLOlwStcR+tfZ9ebBp2berAjRlszocbhscB6uLZmcuPZemY9WX/odpKtJoehqVRcwMGd3az9/4RbntwjB13DmLnzIveSKXunKJrI9AMjf6tZfo2dVLqyYKmaiwvfvMoU6cqRBH4TR+v4eHVveWJx0jdUOUtneiWTrPqKul/V6X3gR+imzqVmkvgK81SNScSKjtKP0w5Gc2aRxRFeG5IuxXrcaAyh1vvHGTbzm4lf6dKGYxt6yJftGk1fL779TeZnapjmBq5vIVtGywuNJmcrKLrivClMgp1TNPSadQ9ZmeUG3wkJc2mt7xNit+eaerYjkmt7lJvuixVWjSa3qqHhOsGqSWm4xjMTNc5eXyR73/nGI998wgSZSJt6EogeWUXZeW2bK1bwTA0xrZ00dtfOEerA6DV8rEdk227umNa+YU/8yvViblYsLm2WL/XWNeM44tf/CLPPvssv/7rv37FxzBNA5ETa364F8OlblvOfhoVShkmTlUINfjET9+BqWtYjkFlrsl//udfJ5u3CPyQ2oLicWi6luZ9QkB9sU3PaEdKqAL1EdUXVD0lCiImji7QsbkTGUSpZqUMJX7Tw1zBdch0OAzdOcDMoTncqosXhMxN1hjd2Y0UMLvYJJJSsS9XiPjKSEK8jvy2j5GzMAyRDmVt2d7NnfeNsmlzJ6dOVegeKqVEprHt3YxsLnPyyDxHD8/ytS8foqs3Rz5v43kB+ZIdCwvr52xjkutZqbQZHCoCUKu7GLoap09Ch0RSq7fx/DCdjalW1fal3KlaqW47wLJVN6jZ9Hjh6VPkCzaGqWFaqsNl2ybZSwjma0HTBB/66E7+x397nlpVzacgwG2rDtH97x4jn3dYrwV2difjYvfmtZ6BWfakufrXWJfA4bouv/3bv81nP/tZPvzhD1/18YxYJdu7hG3C1SApwEXAmak6W7d1kZjX6IZGdaGpNBvyVqwJqv5OKHJGGoDefGGSsf29qg3orbA/0JUE3eEnT6PHfIKV5UChi9gUOoLYEFrqgmxnhtH7BrGERqnDIdIFtYbHyRMLzM81KZSzautS9wi8IO3kRJHSsRCxY5sZb0keeO9mbr1zGF0XtFoBzXZAJmMoI2Y/VJmDbbBlVw9BGHHmVIWF2QbzMw0MU+OO+0c48Mr08npag8SyitYt1WRvzgvo6MgQhpKZ6Xp8XiG2pawVpFRdk6WlFvn4Gitmq5J4vO89Y7SaPv2DBZVpxOxR6yqsAgaHS3zgkZ0899Q4S4sthBD09uW5874R9t7Sv2Lxnr9wezNjveoc6xI4nnrqKaSU/OIv/iKvvPLKehzymiIZUqrXPcIwwrYNxrZ0pj83TcVCzBZs5W4W2/AJobgaYRAh9OV96YlXpnjj2dPsuHtY6WB4yjZA0zUWp2q8+tgJrLLaO6dBY8X5yFCi6SBQ3YZs1uRd79vBps2dmKbO+PgSr76iZP7bTR+kWuiGpVNfatOue7FHiUa70qY130KzdEb299I7VOS+94ypgAIcO76A6wYYhkahZLM0r/xgwiBCt3UGR0oszjYwTZ1208N2zNilXgVyWzdAyPQ6JmP4XV3ZNOgmby6ItUA9L1Tbj4w6jkQShfG2Aonnh5w6sYTvR4xtLaMbGgQRvX0FbEfxWebnmmSyJrZjrPnEvJwFccsdg2zaUk4znELRjmdhki2Yqi+tJ96arcjFISOpjHmuEusSOB588EEefPBBvvSlL6358yvxjr32EKucwjo1jaVqS02Ixj/vGiwwsrObo69MKf8PAJLJUNLBtyiQfPtPX2Hq2CL73r2JYm+OxlKbN547zZkTC5g5k/JICWloYKsPL/BCZGKlEJO0+kc7CP2Q971/G909ObzYPezgwRnVpdG1WKJQQiTQDEGuaOM2PZAq6LhVl9oZpf616dZ+cgWb0xMVwlByanwJK2NimhqeG2DbRupHkozIZ/OKmIZQ5+RkDGo1j85yljOTVdptH8PU0TUl2hMGko7ODKapsTDfUB6rsWWm54acOL7A8GiHstN0w7Q+szyIpp7thQ6HYsFR1g1xl8d2FEdE0zWlwXGBxZywTS9ljiRhzBaKTtzlchX50BEYxtsvyzgb67EluqzA8dWvfpV/+2//7arvDQwM8PnPf/6Cf3cl3rFXkyaGYZRW8hMkAT/wQjWqHg+1JU8Cy9Iod2apN1wCP0prFR/8iVuZn6yxOFtPn8wATs5CNzQ1vwLohmB+osITXzyIFJL5yTphELHvB7eTydtIoQbhvHYAmsDMGATtAKEr0eN8R4ZC0eaW2wZVAa/pISPJ/EILzwswDS0W3FEyckhJ5Et0U0PXVSAgAhFPxDp5CytnMjNV429PLuH7IaZtsPe2AUyhp0bhlqXTToynYtJVlOqTCHr6CyAl2ZzF4FCJmemakkOMuz6DQwV27Oom8COiMHGI98kX1EBd30BRKdWbKugZQk8H3qRcVivPZi31PrxIEZU0EXuyqPNItEEuhMsZPkuO5bZDMlkrDkoX3p40Gh4HXz7DsaPzyEhy530jbNvRe95M50btlLzlNY71dmu7EHRDg0t3AARWTMlKcL0gLs4ppEU9oSrsUSRx2ypl1+OvdU2QtU1qwfILD2zu4Cf/5YM8/uXXefX741Tnm/Frsaoe0jVYxIzbi0IKit0ZKnMtrIyJZmm4VQ9DE2AbKi2WyjslbIf0DZcY295NLmdRyCtykmFoBEGEn2QliWeJBiJK3ovKDDI5NcbueyF+S21lenaUkUHE3HRz2SVNCKZOVdh3+wDZTA7TUmZOjYbH4kILoWlMnVmi3VRt2+6+PMNjHWi6jm1odHRk6C7ZtFoBmaJFR2eWbOwUJ22liel5ylYhUehKrCw1XemDqqE9NT8hkxKWhEzGQNcUZT/wo9R5PslJDENb/gDXEQm79GKYm63zpc+9wtJCC5Ds2ttHd3f+kp/el8M3upZYr5mVG4rHsQpXeJEFynVddT5Yvs+kmnxNFncYRDSqLu26h50xyXc66ZyDrmuxLKAa0e7qL/Dwj+/nfT++n4XTNV578hQTr88hI8npI/MUypn0uAlMQ6dzpKjo5xJyHQ7thofmRxi6hhQSO2sxsqmDUleWYimD2/LilqqyKDcNjWLRQcR7b8MQGLoeGw2p7EII9aTVY2mAzn19WLcOMHxLD4cOzCiCVLRsR1nuzFAqOnEgVReoULDJZi2mztSYOLlEJmsxMFKid7DA7FQd3dAYGinhWBphQ5CxdCw0nBWLTsRBYWWwTsyaxw/PkivY9G3qUD6zYYQmY0NolPmSHpsptRbbOAULzdDw/QjbWVYmD+Na0FuNKJJ89a8OsTjfpFC06e7J8dAHt6NpgspSm2LJXpUNXbGa+VuQobwtCWArsZb26PmwKpKfxR9Y+f1VwUQIOruzLAloVlzclk+xK0OuYMemxOpprp6Oar8feBEdfTne9fFdau+N5Pf/ydeUevZZcS6SEitjIERs+GwLSj05gnjGQzPUlkKiDIUBfC+i2fQplZz4fUFPd4Zc3qRadcmaJk7GiFXg1cILAyXqq+ka23b3smlbmVzW5G//8qByknOUsniz6dPZmWHz9i4lQhxnWumC1AQdHQ67bxnAMFQ7+ujhWWYmq2i6xshwkcX5JrMzDaJQYls6Vs6k2HH+idJDz53mm595hYXpBlEYccf7NnPfR3fQPVQkCBQVPHBD3JaPYehs2tRJvsMhU7BSvRBIxunluk94XirOnK4wM6WsFDRNsHVHD6apU6+rsYSlxRYdnZmLWnmslLU838+uFYQWB+obcVblh37oh/ihH/qhdTmW719aK/ZS07/k19IkJG7FFjsyakI1lLTqHoEX8rX/cYBsyabUk6WzN0ffaAdu3VOu45YOMQuyULTZdls/rz1xSlX79WSfDO26h5E1QSghYRlEqi5iastZBarAbRg6mgbl7iwyLkxmsiaeGxBFGrfdNsQzz5yi7QZ4rQArLhqGQYTXDOjsyjGytZPhsTIykiwttVUHJGMQxoLKjmOyaWtZ6X9WXfyWr+wROzOYto6MlBVAvmARSVica3Lq2DyaruHONHjlpSkCGRGtiOezi0327uuj0JFBE6oblSyeEwdn+KvffYZ2yydXstENjUPPTvLSd0+waW8vt39kO8dPLtJu+IRuoIyvH9nJ6I4eVb+JZEo2S2oi10tAp6snz933j/L6wWnCUNIVa7SAOr3Aj2i3AvKFS0uH3srah9CugiB5AdywGcd6I3k6a/GUqG5oBEGIYWrkSw6NqksmZ/HqU6f4+mdeTttxmiH44f/zAbbfNoAe8w4sW7UEK3NNHvy7e5g6vsj8mWQ4TeC7iqq947Z+qnUP0zHwWz5u08PJWaBB6Kt9e7krS2enkwY034+YnW/Q3ZXFdkyklPQ7Jg89tJnvf+MoszN1+jd3ksmYOKaBaWpkiw6ZvFLailCZleJIrKBWC7BjA+TQC5XmqoTafBMrY5LJm5i2SX2+yfGjCzS9kGJXDqEpjY5G20fXBZalowkt1dg4cGCaXXv7UgvJfM4klzN54suv046zuOSmtR0Dw9Q4/so0kaXRua2MkzHoH+1g65YuhKExP1snm7ViTxW1vUxsLxNDJS7koHYNYOiCO+8dpbe/wHe/8WY8QBi/fpxsXq9s6GJIhvjWGzd14LjcYpMePw2TPbOuKyWIQjmDbmqcOb7IX/zBcytalEAIf/4fn+S2945x+/s209GbY+FMnZe+fRyvHfCxn72Lv/OP7+fg0xO8+vg4btNncEuZuz+8DTtv8We//RTb3j2KlTVx24F6klo6hqEzMlxiYKBAvmCnVgtSSlqtgNOTNXI5E13TqC22CAT0DJWYO1lhaKCEYWn4boiVMcmVLPVehEAINcRlmLoyGVohZNNsxHwPXWCVlLivjCDwAlp1n3bD569++2l693bTvaWcErS0pNsiBL4X4WQ0BBpmrAW6MNug0OGktaEwCDl5cBY7Y6ogs6LYpGmCSErOHFmgf28vA/159u/qU5+PqeMFIaLhqYzLC0Auy0r6fohhrK9q16VAN3S8qsvwaAdDIx2Mn1hgaKSEpilfXk2AY9+gS+ka1WNvyHebyMVdiZfKhZD8WZjMlcQaljKSvPb0BJ/5je9Tr7qKIRr/bhSqbcUrT4zz4rePIzSB347VwW2dWx8cY9tt/dzzA9vY/+5RdF2Qydu4TZ+/+P2nacw1OfH0BB0jJToHC2iWQSln0d2VZXSsM85e1HsKw0iNeGdMqjWXxcU2lqUzc7pCridPvtPhnh/cSeCHLC20mJ9rEARq0rTcnaOvv4BhamRzJlt3dHP41Wk8L8Q01cIbP7HItl095Dszy3YCeix3aBu8+uQpGnWXQm8+HXzTYtJbojcidYHrhmnWFUllYVBveARBiOOYdHflziK7Le/tXTdQ7e54srW3K7e895YSoWl09eXQNA1bM1cpiiu89YxOIZSBk4wkvQMFnn3yJFu3d9PTX8DXQyxLX3fC2LrhGl2qGzJwnG2gdDautq2VFtviCdUwjHjum8eoVdpoRjzuLUBVVCUyjGjXPATK+NlyDHxXpdCf+38e5+P/4G427+0lF2uGzoxXeOwvDnL8wIxabO2QTAQPPryVbNEmCiOcrImVMeM6rfI7MU1lOC00lfIjBeVOB9MQVGqeorT7IcffmKPpBggUpd33I86crrK02GLXnl5sS+f2e4fxvJDxYwvxyD5IIXj90Ay79vSSySyPnYOgWm3z4hPjZDsc9NirVkaKq6HpgjCZw5Gx/wpqqxOFkkbDo9VSVPt6zWNxocnoHQMc+vYJlcILQRCEigAWKGmBjsECAwMF+vsK6b2tIejuzqV1kkThK7GNVLjGRcTztE0zGZMwiCh3ZfHciK9++RDvff9Wtu/sXaWyfqNhvT1jE9yQgSPRV7hWSIpFYRCxONOg0Olw5sSiqjyfdWMKQVoQNLM6pe5cXIsIaSy18d2AP/8PT9E3VqLcl8drBcxO1hQnpGBTnW/Sari8/8f2ky3ZVOYaCAmGpRPWlTxhLukisJyWW5ZB1tbRNI1GxU1pwouLLZrtQG03TD01HpIyot1S+pu9vXmEgDvvH6HYlWVmqobnBQSB5MyZGpWFFgODRbp6cgRBxJmJCqcnqxgFC+JglASVbM5cVkXX1B5PM1RK5vsq89JXTKom25vcYAErprTrZsxDj9m2Vsbk/ke2s220k3JPjnqlTRBJugcK2La5eiyfZUPp5PM4H5Zvmcuvgaz8/fMFD93Q2Lajh5/5/9xPFEkKReea1A/WDSvo/+uNGzO/iolc15ovU6+0yeQt7IypZkDgnAu9UtczW3DS+S7D1HHylvIu8ULchs+Z40vMnq6qfbmmVMFMx2BwSxfFrgyNpTYylLzw7eMsTtXx2wG+G5xPfxhNF7SaHv/9X3+LA985ARImx5cIY2sEIdQTP/BDokAd5MzpKm5b0bbffGOOyYkKnh+iaQkhC5rtgIMHpvjWV17nsa+/yZFDs3gtHztn0dGfQzc1LNsgl1d2AVY8FZusWiFU4Exc5A1zBYdBU4xdYQh2vGdUaZtGKubosV/vj//iu7jz3Zv45l8fYn6+SaErQ+9AAd3UWFxsUq22Vy1cFZy0izJHV47WXy2Sh8ta/wpFh1JH5oYOGkIT665svhI3ZMYRhWpuwjDXLwWUUlJdaPPtP3sVoQv23T/C5j29aJpgZqJCZbGV/p6In46aIYikChVWRsfJmrQaPl7LVyI/fpRuLVp1DztrphmDcqxXi3//u0exHJNmzWPijXme/8YxOrqz3P0D2zFtXYkQr7EoPC/if33+APWKy2OfPwBIfEuj3fTVFkgQ2ymsuHaRZHGhRSjhzOkaCLBMA1AqXlGkSpVOwcZyDNym8nQxbYNyV45P/sStnJ6scvTNeSUmFPNYxAqqiuKfqIWabCdYMa6tLBgEue4s9/7YPkw3RPqSnqE8O+4aws6YvPriJHN1l//6n55k+44ehrd1MTNbp9UO0ISg3JXl1tsGGBnpSN+b6wbUay7ZrKUU1NeAyhAjpLx+7dvrCaGRPiSuJW7IwGFYuhLXWafA4Xshx16d5s9/92lmJqoAfO+vDnPbe8f4e79wP89+8xi3v3cTE0cWmB6vpJoFYRCRLznc9oEtbLtjEN3UcJs+h5+c4KVvHlVFVglEkkZVydnZ8Q0dxnYAlm0wuqMLy9bpHirwlT96gTCIeP35Se7+gcRtTbVHtXhsHFQdYeJUhe9/+XWcnMWme3vpHumgPFTA90LmZ+vMzzcBgSZkumUJQ8n8fIMgjF3r02uoWtDSD9PujZU1cXJWWj/YsbcXTQiGh0vq9ccriqTVDmjWXBpJ67Yzo/gsqNeLogDT0lPHteR4miZA1xjd08vAQBG/7aMZSrLw8Gsziurva4yfWuLYoRm8ho/lmPRu7SAII77zraO898EtDI+UeOXlSfJ5m6FhxT698DSsqqlomnHJTMmb1Q/2bCg70+iacDdW4oYMHJaln0PhvlLUllr86W98nzdePEOxnKXcp+YL3JbPc988Ss9QgY/8v26nUVUDaKePzvO1z77CwWdOky87fPQf3kNnbx7fDdLhsbs+sp3hXd1887+9SHkgz20PbaZ7sECr7jHx5jxHXz5DZa6F2wrYeksfzbpSNNcNjYWpGqalMztR5fG/PISUUOzKsvveIbJFm8CT1CttkGqALVOwuOuR7Qzt6E63TZajMzjaQUc5y7Gj80Qh8WyHhEgyOVGl2JFZHnOPcwXDUIZXYaxwFQYRIcT8C4tc1krlG0dHOhjd1MnMTJ2p8QpTSy5mOYtesLFsPdX8iBX3Yu2U5aK2EFAsOfheSGWpTS5nEXjKZrKy6NJu+li2TtDwOfrdcbymH3e5JMefm2Rkfy+b7xnihRdO47oBhYLDyEgHrhugCaVyHgSK4btygagujLhme/ubATIibrtfO7LZDRk4iFuA64En/ucbHH5+ks6eXHoRhRA4WQuvHfLkV97koR/aQ7Om2rDdQ0Ue+qG9BGHE8N5eeoZLVOYaREGEnTVxGz6RHTGwtczHfv4uNu/uxbC0lFy29ZZ+Nu/r5dCLZyh0ZmhWXP7q08/yrkd3cd9Hd2A5JgtTDeqVNt/5s9fQDNXq/NbnDvDg39nD6O4eAPIdDl47YMc9Q4zt71f8iJgzEAQSKZXAUHd3jjOnVRYV+iFe00PoWYJYGDndeqnLimUb+F5IGEaKWh7rUdiaxtTpKs12Br/pc+iJce740DYs22R0ezcjW8u8dmBaiezEVHXbMXDj1vTZGB4u8d6HtgIwPV1jYbGJYatOThTrJfqtgGNPTuC7gRr3t9QEnO+GnHxxCidvod/SRyZjpg73yUBigsQAe/nWiVu/0dsni7hSKPEpeU22Ljdk4Ej6+uvRWRl/cx7B2mmbkzOpV9qcOblEFEq++xcHOfiMsn6UkaRRdckWbMoDBbJFJ2aFhoSBxLI19twzTLPqUpltpsfMdTjsvneETfv7qNV9QHLXR7bz0jeO8rU/fonOvhwnD86o+RdTI9+RIfBDWjWXb3z2FT769++kb6wDw9SZPLHEre/bEnuQaFi2qjeELZ8oUjdGuTvHxMklAjcg9FW9JQoj5Q1T8wj85VqRiFmXCMgXbMrlLKXOjKqXxINwE2/M88zfvMHCZJWRPb30bu5ESmjHrdSVT3hNWw5ECd9CcT/g/gc2IaWq3YyNddLbm+fIsXm8IIz1O3Qmj8zjtwOsXMxojfU0LMegHXqMvzJN/+5uanU1rSzlygxDkd2SjGe5MKr+eyneKO8ErKdc4ErckIEjwVpDQZcbUCzbWCEYs8wFECQRWbmpfeWPX+L4azOYlqHIPlIyd7rG1//oefq2lNl19xCjexObQqn0IwyNZnV5BN+Kp2xBzYZUK7Fat6Vz5w9sZ+FkhdNvzqf05Hbdx8laqj7Q4VBbaPPmi2fYcecg1fkmToeTKp0nfrJEiSWAEinWBHixPqsgZjm2AmxDp7snx9xsQ1GkNRF3q+LF3vR57JuvghfRN1rCcAwaTQ8tYzJwez/9t/ax1HDp9EPMWLhHIM7KLgS6Dppj4LZ9CkWHfN7m4AunOXFsgbGtXap4LJTJVVc5y+xMna6uLJu2dvLm90+u/pwjCbpIr1m75uHWffI5O80ekjaxlEo9PTzPvXC5gePtnJmsl1zgStyQYflspeqVrbDLxd57hxFCWQSI9P9UMGrWXIa3lWnWPcZfnyNbsMnEehiNiovb9HGbAROHZvn+Fw/yV7/9FLOnKkSRKnpGweoJXhU0hNL+jDsOirsgyeUstt/Wz8ypKvkOByv2/ajMN/HcEF1XOqunjy5w+LnTLNZcVWgVIp3OXV44qoiqG4rynGQauqWjGRqVU1Ve+Nqb5ByDoeESpZKTbkt6+vKYQcRTn3+Vk8+dYfy1GcaPLtCSkvxAAScmqOmWRq3pc+jVaVpxPSKbtwjDKA7cMiVOJJ4mhaJDZ1cGJ2PyxHePK/GghEwmJV3lLK+9OsXpiQp7bhmg1JlFW9E2XGmNkcSDoaEiuZyFt8JgCkg7RCoDuezbYt2QBPW1/t0oOMcqdB1wQ2YcK7U9z/dzuDiDVAjBre/exON/8zrHXp3ByZrYMQOwUW3jZE0+/OO3cODJU2qCNGsS+MolrNXwlClP/HSzcybNSptn/vp1Hvm5O/HaPtrK+QShnpJqIah43FnO0Gz4NJs+mayJQFkK6KZGubOgRuyF2n4EYZQuhs7RDjUMlxY2l7sImi6IYkOlMIyYna5j5VQbWIYRldNVFk4sgYQv//ZTjOzu4bb3b6G/v0B1vsnhJ05x7KUzSAmlwTyb7xsmU3IwLKUFqksBKG3QoB0QeCGHXppk/x1DDA0VOdL0UjFhgaoxRJFSCMvHvJZ80WZhtslzT48rC8kwoq+vwMhoB7VKmxefP42jC3IZE78dEIURVuyullDvvVZAz2iJD3xsF4Ef0Wr5KvPRl1lNrXaA4xjrIvd3JaZK11u1/HLwtvaOXQnL0mmHKnCc7/O5WACRUmI5Bn//Vx7mL//wWQ48foraUgtd1xjaWuYjP3U7u+4a4plvHCNasXBbdS/NcGQ8/iiATMmhOtfgq//5eYa2dvKJ/+MeTFtX05uGlqpwA6ljWKlDV1OhukBGsPXWfl578hSZvGq/puP+UUQYRAzv7iGTj4NG8lDXVpObklrX8Zdn+P5fHMSKZfr8hp8aSLXqLrW5JvOTNV57/CRdA0XG9veRK9iM7Oxh/PAsW949ip2zUJs4GUsPCgxbp9308VsBmqnjGoLFuSa2bbBpc5mpyRqtpkcU81S6ujL0DRRTFTKvHeB5AUffnKfUlUUA8/NNDh+aQWgaraU2x5+ZpL6oPovAiwj9NoatqwJqrCz/o//wXoRQ3i2RK6lWXTIZA8cxFFcjunZP9htp0a8H3jE1DsPUMcPoqudWpJTkOxx+4p++m6WfbjA7UcXOmgxv6wIpqVdceocLKeMx8kOiMEq7OjJSdRDT0mnWPfxWQGW2QaPS5vBzk+y6Zwg7E2FY+opARsrxEEIpXAmhZjseeHQnxw5MU51rKeapocyW2nWPQjnDrQ9vScljEqm0QSPSVD6pj4wfmuVv/tMzhF6YUuKTYqvQoVV1lRVih839P7ibrbf3oxl6HI8kd3s7OH26Sr3hEgVx5yVu30VhhG4bBG6osiRNw/dCbMdAiyQ7dvfQavkEnhp2s2wjbfPOnKnR9kPynRmsjBoMMy0DXYelxTYCmH5thvpii46eHGE5Ymm2qUSKAwmEOEWbez62g333jxKFEtfz0YRGLqeEdOp1j1q1RV9/8aJs0qvBegSPGyIAXYOXv2EDhxAC2zExTJ1Ww7sq+nkSXDq6c3R05wC1sP/b//0Yc2eqbLulH9M2WJiqI6US6kXE4+RSOaQLIdJCqJOzyBVt/vL3n+GeY9u48/1bGNhSVgI0MQkr0WmQEoy426AbGkPbuvg7/+g+vvrfXmR+qk4UROimRu9oB+/6u3soxI7uScahJ8rmUlkKaELVX779Jy/HjE2Bbqj/ykjitX10Q6N7pMTe92wCKdl+9yBuK8CvLRdRi705Nm/v4tArU4Tm8s2djPcLTWUTUgiiIGLq6AK77hmmWXPJlVRxOHJk/FmpDGtyfJGZ6Tp2xkyZpa4b4HkhhFJlGJbG4kSNXHxNDUOne6CA2WFjl2ykEHSPFLF6sjz/3AT7b+knk7FiLRBF6DJNPbZ63MCl4FrErRs2cADpjWU7ymV9PbG00OL1FyYJg4h6xUU31FM1irdHUSBBV3WPfMmh1VAqYWhCqX1pgmI5w9NfeZPnv3mMX/j9j5Er2qr1KWB5mDzZaol0G7Pllj5+5J8+wOkTFVp1j1zJoWtIZT2J2HLyx147ULUTIZBCyRB+5zMvM3+6qlqfukahrJictcUW2+4aYmRnF52Dauq0oyeP74exo31yPooAl43d5ufml9vJaeNJghQq2C2drjJ+fIn+TR109OVWuMap+kaj5vLaC2cIpYwp9BLT0tIOWBTG061S4jV9olBlaOngj4DubWUMx6BUtOnpz2NnLSZOLXH06BwDgyV27exhcEhlGBut1svF+keOGzpwJAjDS9cfvVSUOjM89MN7+dofv0RtscXWW/p534/spbLQ4uhLU4y/PgdAtqjqDV4rAClxsrH8n1Saoj0jRXw3oN3wlZiNoaFJVpGUEoKS6rbEZk95m6Gd3UiphtRWCq5EcatReZMEVOea2DkTw9I5/tIUrz8zsTxNawiEoeHFUouRIfAjyWuPnaR7pER5oID01ILO5C1MW8kOBr4yos7lLeYXWipoxWrkyYChbuq0ltqcOThL4IZ8/b++wJ77R7j7ozvQNAh8yelTSxx9fQ6/7VPsyqpWqrHsLwvLClmGoyN85TTXbnrYdpZISgzHIN/hcPvdw5Q6M6ne6+imDqanarz26jQD/QWGhks39GDZWrju25RrhBs+cESRGs4SsZznWlsWGe8JLlW+LQyVtN/7f3ifGgqbrvPAo7swbZ3Ij3j4R/Zx+LnTfPfPXmNhuoHveeimhmkblHqyaa0h0e2QEg49PUH/j+wDVGp49oBV0sFsNT1e+t5JnJJNR28OJ6cUsqPYhEhoiqvRbvnYGWVupGsaXjvg8HOn+P6fv7ZsVA3YOUsVdUMVCCQSxzG599Fdqk7kGJi2kW5lpJRogG6a8WSrjmlpMTdEBTFN13Fsg7ClMfPajPKikZKlmQavv3SGsbsHaTV9JVwcSfIlB1Fy1hSbWlmDMjMmMvLpHCoyf2KJTM7CspSd4x33jtBZzuC2fIJYYMkwNAaGinh+iOcFa7rbX2vcEDWKq8QNu1U5deoUv/zLv8zi4iK6rvPP/tk/4/7771+PQ69K3ZOn4so7VEZK+9L3QirzDfpHOi6oxpRkLzKSmIbGux/dRRjF6XQYYRTVPnrfA6PsvneYM8cW8b2QTM7kj3/tu7SqLrlOJw0aURjRqntMn1xS7ds134NyQ9c1wVKlTe+Wcuw0H3czROw3Ekl8L6BVVbUIr+nzxF8colX3mDm5RGOppeZShFpUVsZk/3vHqMw3OP7SGTIlm237+hje0Y2maZi2rs4zuRwaRH5Mg4trLrmCrXgufoRtGWzd3k02bo3KSLJ5Zw/jB2f5zmdfwc5ZDN8+wKmTS2o0ZiU/INl2nP3ZsfJXBPW5JqN3DtKquSxMK2/a7bcPUCzZtNuB+qjjzzux3RwaKl1Ssp20rNeb8HS+4HExMuINEXDEtTmPdQkcv/Zrv8YnP/lJPvGJT3D06FF+8id/ku9973vo+tU/IbRY1l0mwUOszjqEJnj12Qm+/9U3qCy1+Hv/x72MbCkroRt72WdUzX+tGEGP56BEfEw9tgtYCV3XGN7elX79kf/3Hfz1f36O6nxLDYxJkGFEuS/PB/+3W9LXOftzklJSb/gIJK4b0qy5hL5S0dINTRG9pKQ238Rrh+Q7HZycIlu1Gx5njixg2Dq6oaPpUOzOpiQ1v+3z0I/uZ/d9IyxWW/THcoR6fH7ptoflzowk6Z6EOBmTXXv6aDZ9CkV7Vf1AxLyKTft6ef+nbifSBQObOnFilfVqpcXsdJ1Wy1f1Fk2JHp1vMUVhhJ2zsAsWez68jdk3F5g9vsjAtnJKElspAgyqvZvJmvT25C749JdSxoQwbfnvz7NeVh7jatu552M33yi4Vlu7dQkcjz76KO9///sBGBsbw/M8ms0mhULhqo8thMAwVeEyvXE0mabrQgjueu8Y5Z4cLzx+kqe/eZRcwaZ3sEhCnEp1K1cEjQRn3zYX4obse2CUrv4CL3zrGCcPzqKbGrvvGea2922mWM6sef4ScL0QkLTbiuOQeLUCVOebFMlgZy3ynRklwBLPYwS+ZG6iipUxsGPyWtIeTnRAJt6Y544wYmRPD4OB6gRp8bYDQJyVBWkxISvww3Q03naM8zqaWTEpbsst/WmGEUYqE+jsylIoOhw7Mk+77cfMzxX7qBWLN/FFsfMmk6/O4BRt+nZ20b+nm4Ed3cqiAQgSqYLk89DAto2LihQnn7OmXXhrcfbPLnWE4WJblhspWCTQ9CtjW18K1iVwJL6wAH/0R3/E7t27VwWNqzWdtm1T6T6EEZGUqx4kKmPQ2HnLAPvuHgbAbftKZDh+4ib1kZXptCYEYaQsBNa6tmdf8OTmGtjSyUe33Hnecz37WFEoabcDdYPGZtN64q4m1WBZZbZJvqy2YIZtYAodoS8P+6X6FroAXaQU86RGoZvK3c12zNSvZfnEk/OPszWUO7yuict4Gqn5GN8LV/jdSMJQkbOGRkocPzKvRIhXLLB0RkjKdIFOvDzN1Otz7P2BbfhuwOhYJ/v294MQOI7SMmnHbFIjZooacSt2zTOTy9cpGZQ7H5P0Wsxs3KhI/FSuFdbVdPoP/uAP+MIXvsCf/umfrvqdKzOdXobQBNmche+F8bi4WkSmpaep6cqLZOSXt0itpqcUvQXxnRPXSuK6g+eF2JcgNnuxJ1Pyo2QrlfiO1Bv+8t9JtTWJPFXIjFcyyerWDY0oDNF0AyRYjsng9i6OvzKFnV3edummhgxV0Nlyaz+6roKSSPZeyQmtGApLro5AxAzXS2tphsGyOlkYReckbWEQkc2ayvM1iNJglI3d5YNA0cXDULViFyeqFHpyZDsyDI2U+MAP7MAwdKq1dpoZqq3Q8rbSto3zqnktM2qX03IZq5wlM0/LweWS3vJ5XufmiTjqWlzblvW6mE5LKfnVX/1VXnzxRT772c/S29u7xl9fHYQQKUvxcpB4mbZbflzXUN4gTdePndXVSHgmY1z05rhQ8EiKrpomlMRdw0+3C6C6LJqhKXOmdrB8Q2tgWCpQhGGkOiArcNv7t3D6jTkaSy6ZghVbUYa06h75ToddD4xgZ0yCILaUYNnSIIo9aKNILhduYwIVrA52a0FGklbLp9nwaDV9okiSy1upSK9QDSD0mG9j2ZKucoZczubMmRpuPFhoWQZuK+DYE6dAQrEvj27p3HLbIJZlUK+56PH0brSi1qFpKkBls9YFP5dEvCeZm0mud5JmqsCxegt6MwWCy8VbYQ61LluV3/md3+GNN97gM5/5DPl8fj0OuW4QQpDJWtiOQbsdEAQhQaTUo/zYADqbs9A1Vi30Cx3vbKzkbIBaTGf/lpSqltCue2RLttL18ENMRwWs4y+fYXB7N1acricHGNzexQd+6nYe/+Jr1BZaRLGSWM9IiQd/bD+FzgwCZSOZureZ8UStpi1vVaLldrWUqmNB7J1imvqawWNxocnEqcqKThTUai5Liy16ylksx8DJW0gpcRyDd797jM5yRtVEKm2mp+sEQURPT46FUxWe/cKrqjYyXMS2dPr7C3hukF7X5D1EkSSfj5XGECvkD8/3mcTF0TDkxIlFhKYxMtKhCr4FO/WV2cD64aoDR6PR4A//8A/p7e3lJ37iJ9Lvf/rTn2ZgYOBqD79u0DRt1ZOrpye/6ulz6tTiFR97+Tjqa9+PVItVrBYSFkJQ6Mxw5tgCdtZC6BqV2SaHnhjn6AuT3PWRHex77xiwuhC4+dZ+Rvb0MHF4jlY80zK4rUwikSelEs+RUqaLRP25OCeCTU5UYs6LRk9fnjAI8RL/FE2k6b3rBkxOVInCCNPUEHGhKAwiWk2fuahJb08OvaixtNRkx45uBgaLNBoeQhN0dGTo6MjE1x56OjJ0dudotn3svKUkCc7qkCXXSNcEkR/RaAcEErq7swRBFJtPaWlNA1TnS0qoVts0mx7ZrEWpI4NpaOSyJufL2C+Xn3Gz8DmupbL5Slx14Mjlchw4cGA9zuUtR3KBVwrsXulxRKyy5PlR/DRXN3XyvxPKtdBgZEc3jiV446VpXv7mMc4cW8C0DGZOLqVFvrNhmDqb9q29BVze51/8hukbKNJqekyML1Eo2jgZM7ZtjJAxsc1t+0oAKJYJlFIgZTK0p9TDvSDEdHSaDY8zk1VaDZ+5uSbd3Vn6B4oYZw2f6aaG7Rg022rLWK+0qSy26OrJnWMwHvohGBoLC02W6i6OY6BrQpk+xW9R1zWyWRNd11R72wsRIZQ7s2RjSYIb1l3tGuFadlHOxg3PHH0rUKu5F/+lCyB5urfbAc2mn65kJXCjnuB23Po0TR3b0tFii4bh3T34rQDL1IhijoX626s6pfNCSomTMRke7eD40Xn6BoqUOpxURGdpoUmt0k7d1AB8LzgnsGqaRq3mMTunFMZm2jXm55uMn1yko2OBe+8bwXHUsJtpGri+x8JUnVbTw2sqD5eXnz/NQx/cjm0l2qVqO5XNWjQqbWan67SjiEMHp9l/ywCGqaVCvGEYxfaWSjjZNHU6ytnYOe7aXLsbHSsLyiuzsmuBd3zgUCbPHpomLqnGsdbfA8xP12nHwjxINUFrWRqaENi2vsr8GeKaA1DIW8zVPUTORMZdCVXoizi7s7peSDxec3mb+Zk6M2eq6WsWihmGRjuYnaojIVUyTzs2cfEyDCMmJ6vpMaMIpB8SaYKFhSavvDLFPfeOomsC09Q4MlmhMFyg/eYCU4fmGL1zgDden6XUmeG2O4fIF+2UJbw0U+cLv/MU+b4cxc0dNGouPT05BgaLaRHUMEQ6OZzNK9Nu1Um4RhH3JoDiNsUtcJKW7A3MHL2ZoVqnAOfWJC4Fnh/yvT8/yFNfeYPuoSJ73r2JPfcMUSzZsdWAtiaTNAgivCDCdQOOvjzFrvtG1M8iGTNcL9LyuELoukCgJlOzWZNc1qTUmaHV8BAScgUb0zEod2eYm2ukHYllQue5FygdBYCU3DY7owqjxaLNzEydF54/zdjdQwzu66V6po7f8sl2Zjjw2jTjExU2jXVi6IKJAzO88r2TVOaaGMcW2FN2QAiefvoUo6Md7NzZQ6nDiQlhy+Q+TdNWzStdKWfjfH93M9Q3zoaMVPHrWpz6Oz5wCKH2y563tsz/hSCl5MBjJ3n8rw6jmxr1xRa2qeE4BvXFFlJCqTub7rVTJfBI4vkR9VhnZMsdgwDLLVMpiQJU8fAct/arfb9KqxSgs5ylstBEhpI3n5xgfrKKZmh88FN3kMvbWKZGK4jSFDhpIa993OWfhWGE64acOLFAveZy7OgCnqe4NFbWpHtrp6qXxIu8Umnz8ouTADSm67gtX83stH0MQ08DqWnqqn6x4nWWLS9U1pPMuaiO0fkXzcpAsLLNnlLXk17wTQ4ZSeQ1yDo2AocQ5HIWrhtc/JfPgpSS5/7XUWVAnLfJdTjsuGOAMIjIlRx0U1vlFp7UEXw/orFCnMiIx/RlLN0X+FHKx0j+PNFfXc+Cn+0YdPflOXN0gWOvTOG3A+pLbSbfnKd3tERjoYU01AJKiraaLjBM/QLKbLELXhhx6OAM7ZjFK4SgXM7Q05un1fI4NV5JiVrp4KIGma4sdk+LyRNL9O3qoqc3x9RUHcPQ2LGjW71EvNDPzg6Uw5s8rx1GggsNrC2zXpfjxs2YbVxrvOMDByim4pXAbfrMT9awMwYIGNzaiWkbmJaOYelEQUSITGdCQN3oQSRXGU0nVKUwksjYlzUKI2Sk9vGIOBu5Btt3oQn6NnfyyM/exfjBGZ79mzepzDTQNEFXX56lmkvQDnDbPjK2k0iG7FYWTNWQmypShqHEtg227ezG80JOn1JB4vY7h9ANjRPHF1LuiOsGJJM7QqqOSr4/T6bTYXB/L7ou8L2ATCaXGkAlvI6VbNHl67t2ULika5EG6o1AcTFsBA64Yt1K3VSq5olqWKJOZZi6WvgxM3Ql1MxKdPY3U8uG5Ociro1E8ai9Fh87DEJ0Y/10KaRUWYxh6Wy7Q7nGOVkT3w3JuD5NN0DXBaZt0FhqK4X4Whsrs8yJSbZTpqmG64Qm6OrJEoYRtmOweVsXmdhcOwgilhbbgKKSS6mCh5BKXCjwQuy8ye4PbsHKmpw4vphaKAAEoSQIQgzDPCcg3Cxci7cD3lmN7vNA17Urcja3bINtt/WnrcTp8Yr6QZJCsPbMwPkCldsOVOszlMgowmv51Baa1BfbVOeaqpsRyPNyPa4UCZ1faFCIxXQalTZRICmXMmhCQzM0nJLNwFgHm7Z0Mbypg85yNl3QmqaIWE7GZGRTB929eUAVTR3bQOhaTIpTPBAp1TbFSkSehbKEVBoncpWpdRhKqpU2QRClc0XJ7EkyFStlXFi+hsrnNyPENSKEbWQcMfJ5m0qlfdl/965Hd3HswDSVuSa+G7I026B3tAOIb27tXGf18ypZRRI/iGjGCuUrIbR4KjZmiF5Ib+JykCx8w9Yxhbod/KStDGQck4FejVAIih2OYmpGEsNWTnHtVp7jRxcYHilh2sqPJRmBt2zFAkWQLmghBOWuLPNzTYIgWiUL6RSsdGYnVZmXkiiCxcUWE6eW2Ly5TKut5oAyGcUMTeoTzVZAu+1TLmch1j6xLP2KHgpvB4hr1FGBjcABKC3QK9U1Hdxa5kf/6bv4+h+/zPTJJb79+QP8nX/8gCqMnmfYSNc1HEen3V5dYLQzBo2qi2nrBH501s9MaostMnkLw7ywNsWVYNV0sakTxP4sxK3Ozt4chqExP1ml7YYQU9tLHRk2be5E1zVyeWtF10WmokFno9yVJZe3WIo7T+k5JEFMV1u9+myT2kwDJBT6cjz+/RM4GZPe3jyaJmJjKEEQRJw4vsDB16ZptwN27Oph/MQSzZaPoQs2b+li3/7+t68yuljma8hkTmqDAHZtIaVkbq5Bu6328ldCAhvb08vf//99QLm7aRqGqV10QrFUtJFRG9dbDhBCCGXCnDHRDeUpI4QyYY6CiIPfH2doRxfDu7pT0eFrcW84OQu3ERdDdYFh6RiGRrvtMzXbwF/hsDc326BYtNOtSbJHS27ixA9WX5Ey67pGPm9RWWqzpl2ihMlXZzn98nQsDKRqHBN9ORpVly3buxkaLpHNmszPNzh9qoIfRGiaYgG/+Pwklq3O2fdDDr42zemJCh9+ZOfbKngkmhurW8tvzWu/4wNHq+XjxgVAdbOHV8TY1DSBEw/RXcoeWwhBR4eD50W0274a7wc6+/JMHVvEcAzsjAoOlZkGJw/OcOr1OQ585zi7HhjhXT+0F98NMB0D6wq7QueDaevkyw71hTZREKnzAE4cXVAiQIZOEhfDSFJZaoMQFIr2Kk6EEBDFE7jKAlOxVsMgYm62kfJWkmAdhWr8P/BCnIKFZggMw0x/Vpms8cZ3TqJbOuPjS5QKthJFCiNkBH4UxY73itymoCuP3kqbl1+a5N3v2byu1+p6QWjXXnPjQnjHF0cTvcyz+/hXg8tp/9m2Tqnk0NeXI2upv+vb0kmxK8vSdIOZk0tIJLe+bwv1hRZWxsBt+gR+iOcG1Bda18RU2MlZdA7kKXZnsbMWtUqbthugG/py9iBUu1jTBLVqm1rNO+cahqHk5IkFFuYaAFQrLi+9MEmrFRD40XJLNyF1+Wrgzs5b6PGWTJHWNAxbpzpVpz7bwK27zExU8NxAdbMsLc2ENG3ZXDz52jA1TpxYVOZQoJKjm7T0kTCSryfe8RnHSsZgEETXbLjsQkgKhyEaiAgBWI7ByO6e9HfCICQT1xC6BgoYlo6Ts5RpcyRVEXKdsVLAuTWvDLH0s+oWIp5C9b2QdsujULBWpcumoZHPWRw9ssCxo/M0G/7ak8jxPj30QzRNKbyfDc3QCL2Aypk6vdu6CHyfmfEKdsZU6mmGKsSG/rKoUfpedNU2T20W5DJTV0bnGTUQXBPuzBVDXDl1YL3xjg8clmXQaHgEweXPqVwIlyqCm6De8JWOx3mg6RoP/fgtCA3KA0WVZQiUQvpb8ORMswgh02d5QpaSUmlrWKYefx0H4UhimDodnVlsx+BM4j6nLYtIr3oNTSB0jSiMWDxVWeMc1H/n3lige6wDI2sSuoqcJnQNM6e2Q/V6m2JHZpVdRRBEOLaZ6poCKe1d6CJVSztHH0RLhseuP24kM6obI3xdR2SzVnojrzcudcsSxd4wFwoAQggGd3TRNVikUW1TX2zTqLTXHDq7HEipzJ/areCCHIhcwUITQs2DpAW55RqFrmnYtkG75dNq+nhuiO8rvdEoktSqSjkMVNfGsvV0Ya+8TrqlsXBiiYWTZwUOAbrQyGRNKqeqnHpiAq/qops6RlzjWRqvqExFVxIHCcIwIgol27Z3r7J/OCtsnXsPyBsraNxI5LZ3fMZhGBq5nE21evkcjvVCmBCYLhIDdF3t84VQRtAXswy4ENQTX2laIMEwBZ4bMDNdZ2RTxznHzeUsCsVlrkvy9FOFSUm5J6tmVBLdxOTPpRI5Tlq1QRihBWrmxTQ1Il3N4SQFaSEErYobO9cH6AkRzA3xAsmOuwehFTJ1aI7aVB2r5BAJaFVc2kttBm7pZdt7Rmm3/ZR5C9A/UOSWW/rPcy3kNakTrQcSLtCNFDRgI3AAivqcKmTL9d+yJMddC0r2bzn1v9hrm5ZBeaCA3/YxV6Tdl7M1UtYRkjCKlIiypnQtpqfqLC40KXU4lDpW+8QIIRjdXGbi5CLVSjvdVum6Rq5g0d2jtGZlJFd7uQjSobPEsCmKIgzDQAolZaDrOp67rMI2du8QQhPMHlnAa6hah2EbDO7p5F1/dw+tu0b4L//qm7Qm65hL7TiQhrgNn4VjSxR/cAeuF5Iv2GSzJlu3drFlaxemmeiyqqlaDe2Ss81ruWVRfJf1ZwRfS2wEDtSQm64nVgLLcn/rCXVDJBOdqxe5YainrxuTri7mCqZpAnsN5e9LCR6BH3L82ALlriyFggNAveayuNCi2VBdkaWF1jmBQ52nxtjWLtqx8jlCkM9bnDimxudLHQ7SlwgpVm27NE1Qr3tKCcwNCAKJaarMRJluR+iGQIsgCJTx9eb7hhnc30ttWnVjOgfzDG8pc9+7xnije46x+4Y5/vQErYqbPpU7hoo88FO3KH8ZIfjgh7ZTKi2/j1bLU1st4PXXZzlyZI5bbh1k564eLgZlpSnXPXgkcn/iJmvxbAQO1FOzWHRYWmpflfboxZH4fMhU0j/JMmzbwHXDaz5nEYQRzYZHu+WjabW1zvAcDdCz4WTiIqNQ9PRWy8edqJDLW9iOGXenZNwG1XG9gMpCE10XaYBO3mtCYjMMnUiTIMK0+GDnLOwtqkuzfWcP73r3GC8+f5pXXj7D9ofHGL6zn9kji4R+SKk/R3lTB5qpo2mw/5YBSqVMen3ddkAYm2MdP77AkTfncNsBTz5+At8P2bdv7W3MiguDkOKqa0or8VZqhK431iVwHD58mF/5lV+h1WpRKpX49V//dYaGhtbj0G8Z8nkbTRMsLraucfBQgcPzQmo1Tw18oZTR15pBWe+JTzOd6JXnKICrwTN5XjvIc343QmmHRJLKYos3X51m655eNbgWb38atTanT1WWjaGEIJs1cd2AKFJZjKYLAj88h7WbnF+h6PD+D2zjjcOzHDo4g5QSXRfkOjNk7nRW/f7tdwyxe08vuVxCxlOks+89doxW28eNt0R6bIvRbPocePkM27d3nyPveA4u92MQ8TZ0Rb1HstwdulmDBqxTV+WXfumX+Mf/+B/z5S9/mY985CP81m/91nocdl3g+yHNpkez6V1wHkUJ+tjxCLcaETeM5X+Wpac3sqZxzqK7HCjil4Fla3h+lNYLxIqbLFyxXbqcLORiN6Oua3SWs0RSnhMgw1BpnnaWsxd9ncALaTc8Ij/ErXnopo7UBCeOLnDi2ALH3pzjjYMzvHl4Fs8LieKReqXtqt6b7eiYln7eOkMUqW1OX3+B8fElDh6cvmAgzWRMxsY648G2Fd0TCfv296dBYyUcx6DV8pmaOjf7SpBuJ4S4aPAQQv2+bmjKykFb/lsRywPcTLWM82FdMo7Pf/7zGIZBFEVMTk5SLBbX47BXhTCMWFxsKQWqVJdSUCg4FAr2eT+4ZY3NcycLEzHc5SfGlRdShYBiwcF1G6so7sl5GXEhb/m8zn2h872HixVk+wcKNBsezYZHgHoqJguytz9PLn9h5zRQxcpIShYma3R3Z6nHFhORlLhugNtaVkZXhVjQdOgsZ1hcaKt5ntirxW3756X5B4Hk+LEFxk8sKqc7UycIIuX4dlYQaLUCvvXNI7z/A9uwbYOTJxd54/Ass7MNDFPDNPV4MG45qAgRiyjFdPcoUSNjebp05XVOsrW1oMX2Eu8ErEvgMAyDhYUFHn30UdrtNn/yJ3+y6udXazp9uZBSMj/fTB3Uk7FqNbOguATForPm31qWTqu19l0spcS2dXI5m1pN6UMkWhCXg2V6u6pttFpryxZeKABcyhNrLaEbUEFp6/Zu5Vuy0CIIIjIZg3J3Lp03WQvL5tFqwdkZk4GtZUC5vp0er+DHVpSGpWOaGkHdx3YMcgUHSxO4XrgqawiCi6u5B35IwLL2BqxdpNR1QaPh8eKLp+nuyXPg5TPptsTzArx4O1gqOWnw8P0I09Aod2VSrZCLXVNNT0Sulwf6zg4wb3cIeRl58MVMpwG++93v8iu/8it885vfRNfP1Z34+Z//eT796U9fxSlfHO22z+xsI80yVkKl4xoDA8U1mXitls/cXINkLDxZ5AnPoqsrSzarbA9dN6Bed2ldhDy1FpLfbTZ9qjXvqt7v5b7m1R4j6T4tF2RUsVPXBc2GTxBEWKZGrmAjgEZsmJQp2PhByJE35uL2rKAdzwpdDCtb1WfLFibI561lE6z4s09kIVMf3KYKZMWiQxhENFs+mzZ18OFHdl31tXkn4apNp6Mo4itf+Qof+chHAHjwwQdpt9tUKhXK5fL6nellQLEGk5t7NdRNp2wJMhnznJ87jkGp5FCttuNinUz/rlCwV/1No+HRbPpXxf3QLvKEW09cLg3+bCRtatcNcGwDTdeUF68fYhg6pqlT6lg2tJZSbSnyJQe3HRAhMS0DJ2NSq7YvubWZPM0TQlcSNFYFE11gxy73zWaI0KBYtFccY7mO4rYDqrTRNY2+vjzvfu+WK74m71Rc9VZF0zR+//d/n1wux4MPPsgTTzxBuVy+bkEjwZXXHgTFooPjmGlBNbEbtKzly+V5quh6tR2Ymym9NQz1NDdNnVPjiwwMltICoLKKJF3carFraRHZsg3cts/iQpNW07s8PkRCkNME4qwgresC09LJx4Vt11MPDSG01ddWKParpglcN2TzljLbtnezaVPnDTM4djNhXWocv/mbv8m//tf/mt/6rd+iWCzyO7/zO+tx2CuG0rFcu5WZ8CfOK9+34hiWdS4JKkFSdIVzxVMuLfUWBEFIa40p0GuJq806jDhAFIoOlYoiiikjaJGSuYxYwVzGau6JDaZlGSzMNWMbiNVMTKEJbEsnjCJ8b3VUEcTXOJa3MnSRcl8ysX8sKEas54YUijbtVrDq81cELjXJm9U1HnjXGPn820fU563GugSOXbt28bnPfW49DrUuyGRMTFPH80J0nXPqFMle+GpwKduThGK9FoIgYqniEgTRqpT7rcDKYHolQUQIKBTslOR1+tQS/QNF1YbUVzjXxW8sfQkBpZKD7weE7vKv9PYX6O7JYRg6EsnkqQrzqYscaQs0oecbhk6x5NBq+rRaPoauqfZyKCmWHO66a5jHHjuG70XL3AyRKMarbGMjaFwd3pbMUSEEXV055ueV4/rK6ncuZ62iIV8pEm+PC5+Hyly8NcyL6g0vVqta7ulHoVRDYm8hLta6XQtJgdQwFA+l2fBYWmrT3Z07q+AsU9pDYvGQLylLyOTlRsY6KXdlkZGanRHA4EiJKJIsLrRUgA6X2+mZjEkk4Y47h8hkTA4dnGF2Vhk2bdnaxe49feTzFguLTQ68fIZ6w1UBKZIEYUSp6HD3PSPrcu3eyXhbBg5QC7uvr0C7HeB5AUKoCru5TkK/mYyFEM1VtGlYnTmobOPcjCJxWleLQUuf3NeasXohXM4WRsp4ywIszDWQUrA43ySTMSl1LLe5hRAxR0KRv4yYNJG4wOXyFp3lbDwdG3M+ACLJps2dFEo248cX061lYjI9NFxi6zY1Ij+6qXPNc7z7nhG6u3McOjjN/FwT0zbYur2LPXv6yL+NdEevF962gQPUjZvJmGt2T64WmiYolRyWlhQvZK01p61gCiYdiZUxa+XTWUbr0y69Gpy9hTlfNqJpgiCAmama0htFBYcTx+bZs7//rGxMEsSzL0IIalU3/UmpQ3EnVgbM5DU1XaOvv4CMYHa6jmEqvY8dO3u49bbBVboa53svW+Kp2A2jpvXH2zpwXGuUSg5hGFKv+ymha5lrsCzzdnawSLKelZlKwju4nlnHSqxWzl4dQKRUlPiF+aYS94lH1W3bOGfKUwiB7Zgg1TYsCiMMU2UOqhUtV/4yQDwMp2olQyMl9u3vp68vTzZjYlzCFvFC72UD64ONwHEVEEJQLufIZgOaTY8gCGm31bbo7CdiYr0QRcp13bZ1Wq0AgYoeKjvRCYLLN79+q7C8AKWakM0YNBtKMKfUkWFouIS5RrdK/Zkgk9XZtbeP6aka02dqBF64HGZinoZhaGnGIiU4jsnopg5sa+NWvZGw8WlcJVZuh4IgYmqquubvaZpGGIYpbbpUtPH9kCCQCCHjuZfVWcuNiJXWB9t29NBqemiahpMxLqq8bRg6QRBSLDkUik7K9zBMfdX0bIJczmTXzp6Lts438NZjI3CsI5IUOwhCzh2jlOncjJQqkHR3ZfG8iFasVJ7NmnSVMyxV2szONm64ALJWrSOXt4ki5e8qZXTeNncSDxIl+aT+k2zNVs6ImKZGLmexLVbt2sCNh43AsY4QQiliLS21VrAnxYr5DkFPTx5d19JW7FoLrasrR19vgdcOTt8wNY8LQdMEnhdiGhro5/4MEt6LTK9LAoEigylWqnqvm8c66ejMoF9n75ANnB8bgWOdkc+rLUgj9Q9ZnnXp7MyktPU15v/OOo5FLmeqOohYflLfqNA1VSRd2cHQNNVGTQYLE0vLlV42ylbBiP1blEl0V1fuOr6TDVwKNgLHOkMIQWdnllxueZbFMDSyWeuy0+5i0aHdrmOaiXdrcGMGD6mGzDw3jBXGljtKYRhRLDoMDhQZP7VEve4Sxa1n1WFSpk/JdHF317KIUBRJqtV2OnlbKjkbW5cbBBuB4xogUfi6qBTdRdDTnWNhoYUfT5/atrHKL+RGQNJSFkLQanps3VpmqeKq7pGh0d2dpbdXbc927+qhWnU5Ob6UaqUQa5xKKcnlLHpitfRGw+P4iUXcdpDqfOq6xuBAkd7e3EaL9TpjI3DcwMhkTLZuKXPi5GKsgL7MME3au9cbK9dvuTuHBPbs6UWLRXHO5oOUSg579/QyM9Ngbr6hGKWGTneXCjCGoeF5IUePzuPFAVNJCyp3uInTFQxTo+sS5A03cO2wEThucBQKNnv39FGttlOa+vx8k1rd43zGpteqpbuy0CvlcickDJV9ouUYzM81CfyIbdu6zpsV6LrGwECB/v78mm3Y+YUmnh+uGg8QQsSDiwHT0zXKnZmNrOM6YiNw3ATQNEHHCp+TcjnLmakapycqqWp2Oih3DbswlqXh+9HqAmck022UYWiEYUS15lKrueeVZ0xwPqm+Wq2d/vxs6LoWzx+FV70V3MCVY6PfdRNC1zWGBosUinbKtNR1paqdLGA1SWqkKu3rAc+LMAyBZWkkgs6armFbevoauq6G9iorZlIuHxuZxI2OjcBxk0IIQXd3jjBUep+ep/612wFhoAR59+/rZ9vWLvJ56xyxoUt/ndV1DMNQDNHk+0KAH0Tn7I2uxou1GE+vrjX0F4YRGcfcYJNeZ2wEjpsUUSSZm2vG6lhi1UKWyNjWUqOzM0NHycGI5Q9zOYtczsIyL/2jT9avCiDyLM0NEdsfrOBmANnslU8kd3VlsSxD+bGsOK7vKx5IX19+o75xnbEROG5SVKttmk0fyzbIZIy0/evET+PFxVYqIFSve8rCcMVi0y5RAe3sh36yRVFbEkj8cNXvqsVt2wadnVculmSaOtu2lslmzVi7JEj9UEaGS5Q3OirXHRvVpZsU9YbqqiRP/5VFRiG01MHOsjKINZzSlEv9xcf4NU0dLwwjDGNZANiyEud39feJBKJtG2zZXL5qacZs1mLP7l5qNZe2G6DrGqWis271mg1cHdb1U5iamuKee+5hYmJiPQ+7gTVwOe7mpaKTqo+vPIJlXfjjV0N5mlISN7R03gRIpQN0XVDIW/T35Rkb62TP7mXf1qtFojjf25Onq5zdCBo3ENYt44iiiF/6pV/C999a1e53KgoFi6lpkdo3rIQiVWmpIG+5nGFmtk6r5aPrWurVGoYSy9JxHINmU83WaEJgOzqFvI1hqk5NR0mNwB87vojnBakPkxCqTbxlc3ljUb/DsG6B47/8l//CAw88wPHjx9frkBu4AAoFm3zeplZVnIdkyxKGyuawpye/qkW6bVsX4+NL1GpuysWwbYOhwSLlchYpJW1X0dkd21iz+Lhndy+LSy2azVi8p+hQvIBl5AbevliXwPHqq6/y9NNP84d/+Id85jOfOefnb7V37DsBQgi2bOnk5MklqtV26niv6xr9/XkGB1Ybf9uWwfZt3bRaPu12gK4L8nk7DThCCDLOhTshhqHR070xubqBywwca3nHlstlLMviP/yH/3BeBaiPfexjfOxjHwOUd+wG1gemobNtaxetlk+j6amaQMG+4ATptRJv3sA7C5dlOr0Wvve97/Erv/IrFAoFAI4ePcro6Ci//du/zbZt2875/bfCdHoDG9jAtcVVb1Xe85738K1vfSv9+uGHH+YP/uAPGB4evtpDb2ADG7hBsVEK38AGNnDZWHcC2MrsYwMb2MDbExsZxwY2sIHLxlUXRy8XH/3oRxkZWR/T3+npafr6+tblWDcD3mnvF9557/lGeL99fX386q/+6oV/Sd7E+Lmf+7nrfQpvKd5p71fKd957vlne78ZWZQMb2MBl46YOHAmp7J2Cd9r7hXfee75Z3u9bXuPYwAY2cPPjps44NrCBDVwfbASODWxgA5eNmzpwnDp1ip/6qZ/i0Ucf5ZOf/CRPPvnk9T6la4avfvWrfPSjH+VDH/oQv/u7v3u9T+ea47/+1/+aDkf+X//X/4Xnedf7lN4S/Lt/9+/4F//iX1zv07goburA8Wu/9mt88pOf5Mtf/jK/+Zu/yT/5J/+EMAyv92mtO2ZnZ/mN3/gN/uRP/oS/+Zu/4bnnnuN73/ve9T6ta4ZXXnmFL33pS3zhC1/gr//6rwmCgM9+9rPX+7SuOZ588kn+4i/+4nqfxiXhpg4cjz76KB/+8IcBGBsbw/M8ms3mdT6r9cfjjz/OfffdR7lcxjRNPvGJT/CVr3zlep/WNUOxWORf/st/STabRQjBrl27mJycvN6ndU2xtLTEv//3//6mkZ24qQPHxz72MTIZpab9R3/0R+zevTsd7387YWZmht7e3vTr3t7et7Ug0tjYGPfccw8A8/PzfOYzn+H973//dT6ra4t/9a/+Fb/wC79AsVi8+C/fALgpVM7XEhAaGBjg85//PAB/8Ad/wBe+8AX+9E//9Hqc3jVHFEXnfO+dINc3MTHBz/3cz/HDP/zD3Hvvvdf7dK4Z/uzP/oyBgQHuv/9+vvSlL13v07kk3BSB45FHHuGRRx455/tSSn71V3+VF198kc9+9rOrnspvJ/T39/PMM8+kX8/MzNDf338dz+ja49ChQ/zsz/4sP/uzP8tP/uRPXu/Tuab4yle+wuzsLB//+MepVCo0m03+zb/5N/zyL//y9T618+M6U96vCv/xP/5H+WM/9mOyVqtd71O5ppiampLve9/75OzsrPQ8T37qU5+SX//616/3aV0zzM/PywceeEB+7Wtfu96n8pbji1/8ovzn//yfX+/TuChuioxjLTQaDf7wD/+Q3t5efuInfiL9/qc//WkGBgau45mtP/r6+vjFX/xFPvWpT+F5Hg8//DAf/OAHr/dpXTP89//+36nX6/ze7/0ev/d7vwfAQw89xC/8wi9c5zPbQIINyvkGNrCBy8ZN3VXZwAY2cH2wETg2sIENXDY2AscGNrCBy8ZG4NjABjZw2dgIHBvYwAYuGxuBYwMb2MBlYyNwbGADG7hsbASODWxgA5eNjcCxgQ1s4LKxETg2sIENXDb+/9XCVXSjqG9sAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<Figure size 216x216 with 1 Axes>"
+       "<Figure size 300x300 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -328,7 +354,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -342,7 +368,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.13"
+   "version": "3.10.8"
   }
  },
  "nbformat": 4,
diff --git a/example/VAE MNIST example.ipynb b/example/VAE MNIST example.ipynb
index ad40b3c..6a8f8a5 100644
--- a/example/VAE MNIST example.ipynb	
+++ b/example/VAE MNIST example.ipynb	
@@ -14,7 +14,16 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2022-12-02 12:03:29.276027: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
+      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
+     ]
+    }
+   ],
    "source": [
     "import os\n",
     "import shutil\n",
@@ -77,7 +86,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -90,24 +99,31 @@
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "Model: \"encoder\"\n",
       "__________________________________________________________________________________________________\n",
-      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
+      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
       "==================================================================================================\n",
-      "default_input (InputLayer)      [(None, 784)]        0                                            \n",
-      "__________________________________________________________________________________________________\n",
-      "dense_5 (Dense)                 (None, 128)          100480      default_input[0][0]              \n",
-      "__________________________________________________________________________________________________\n",
-      "dense_6 (Dense)                 (None, 64)           8256        dense_5[0][0]                    \n",
-      "__________________________________________________________________________________________________\n",
-      "z_mean (Dense)                  (None, 2)            130         dense_6[0][0]                    \n",
-      "__________________________________________________________________________________________________\n",
-      "z_log_sigma (Dense)             (None, 2)            130         dense_6[0][0]                    \n",
-      "__________________________________________________________________________________________________\n",
-      "z (Lambda)                      (None, 2)            0           z_mean[0][0]                     \n",
-      "                                                                 z_log_sigma[0][0]                \n",
+      " default_input (InputLayer)     [(None, 784)]        0           []                               \n",
+      "                                                                                                  \n",
+      " dense (Dense)                  (None, 128)          100480      ['default_input[0][0]']          \n",
+      "                                                                                                  \n",
+      " batch_normalization (BatchNorm  (None, 128)         512         ['dense[0][0]']                  \n",
+      " alization)                                                                                       \n",
+      "                                                                                                  \n",
+      " dense_1 (Dense)                (None, 64)           8256        ['batch_normalization[0][0]']    \n",
+      "                                                                                                  \n",
+      " batch_normalization_1 (BatchNo  (None, 64)          256         ['dense_1[0][0]']                \n",
+      " rmalization)                                                                                     \n",
+      "                                                                                                  \n",
+      " z_mean (Dense)                 (None, 2)            130         ['batch_normalization_1[0][0]']  \n",
+      "                                                                                                  \n",
+      " z_log_sigma (Dense)            (None, 2)            130         ['batch_normalization_1[0][0]']  \n",
+      "                                                                                                  \n",
+      " z (Lambda)                     (None, 2)            0           ['z_mean[0][0]',                 \n",
+      "                                                                  'z_log_sigma[0][0]']            \n",
+      "                                                                                                  \n",
       "==================================================================================================\n",
-      "Total params: 108,996\n",
-      "Trainable params: 108,996\n",
-      "Non-trainable params: 0\n",
+      "Total params: 109,764\n",
+      "Trainable params: 109,380\n",
+      "Non-trainable params: 384\n",
       "__________________________________________________________________________________________________\n",
       "None\n",
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
@@ -115,227 +131,252 @@
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "Model: \"decoder\"\n",
       "_________________________________________________________________\n",
-      "Layer (type)                 Output Shape              Param #   \n",
-      "=================================================================\n",
-      "z_sampling (InputLayer)      [(None, 2)]               0         \n",
-      "_________________________________________________________________\n",
-      "dense_7 (Dense)              (None, 64)                192       \n",
-      "_________________________________________________________________\n",
-      "dense_8 (Dense)              (None, 128)               8320      \n",
-      "_________________________________________________________________\n",
-      "dense_9 (Dense)              (None, 784)               101136    \n",
+      " Layer (type)                Output Shape              Param #   \n",
       "=================================================================\n",
-      "Total params: 109,648\n",
-      "Trainable params: 109,648\n",
-      "Non-trainable params: 0\n",
+      " z_sampling (InputLayer)     [(None, 2)]               0         \n",
+      "                                                                 \n",
+      " dense_2 (Dense)             (None, 64)                192       \n",
+      "                                                                 \n",
+      " batch_normalization_2 (Batc  (None, 64)               256       \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
+      " dense_3 (Dense)             (None, 128)               8320      \n",
+      "                                                                 \n",
+      " batch_normalization_3 (Batc  (None, 128)              512       \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
+      " dense_4 (Dense)             (None, 784)               101136    \n",
+      "                                                                 \n",
+      " batch_normalization_4 (Batc  (None, 784)              3136      \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
+      "=================================================================\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2022-12-02 12:03:34.741418: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
+      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total params: 113,552\n",
+      "Trainable params: 111,600\n",
+      "Non-trainable params: 1,952\n",
       "_________________________________________________________________\n",
       "None\n",
       "Epoch 1/100\n",
-      "34/34 [==============================] - 3s 69ms/step - loss: 62.6687 - val_loss: 48.4591\n",
+      "34/34 [==============================] - 5s 80ms/step - loss: 515.0859 - val_loss: 134.2977\n",
       "Epoch 2/100\n",
-      "34/34 [==============================] - 2s 60ms/step - loss: 45.6780 - val_loss: 43.8295\n",
+      "34/34 [==============================] - 3s 77ms/step - loss: 232.4563 - val_loss: 108.7989\n",
       "Epoch 3/100\n",
-      "34/34 [==============================] - 2s 67ms/step - loss: 43.1871 - val_loss: 42.6579\n",
+      "34/34 [==============================] - 3s 90ms/step - loss: 128.5531 - val_loss: 92.1605\n",
       "Epoch 4/100\n",
-      "34/34 [==============================] - 2s 62ms/step - loss: 42.3495 - val_loss: 42.0299\n",
+      "34/34 [==============================] - 3s 90ms/step - loss: 85.4033 - val_loss: 80.4918\n",
       "Epoch 5/100\n",
-      "34/34 [==============================] - 2s 64ms/step - loss: 41.6781 - val_loss: 41.3607\n",
+      "34/34 [==============================] - 3s 89ms/step - loss: 70.5240 - val_loss: 72.1864\n",
       "Epoch 6/100\n",
-      "34/34 [==============================] - 2s 62ms/step - loss: 41.0040 - val_loss: 40.6541\n",
+      "34/34 [==============================] - 3s 102ms/step - loss: 61.8096 - val_loss: 66.2642\n",
       "Epoch 7/100\n",
-      "34/34 [==============================] - 2s 62ms/step - loss: 40.2912 - val_loss: 40.0229\n",
+      "34/34 [==============================] - 3s 98ms/step - loss: 58.2141 - val_loss: 61.9206\n",
       "Epoch 8/100\n",
-      "34/34 [==============================] - 2s 67ms/step - loss: 39.6698 - val_loss: 39.4754\n",
+      "34/34 [==============================] - 4s 107ms/step - loss: 55.3495 - val_loss: 58.7390\n",
       "Epoch 9/100\n",
-      "34/34 [==============================] - 2s 64ms/step - loss: 39.0795 - val_loss: 38.8868\n",
+      "34/34 [==============================] - 5s 143ms/step - loss: 53.4858 - val_loss: 56.2942\n",
       "Epoch 10/100\n",
-      "34/34 [==============================] - 2s 64ms/step - loss: 38.5432 - val_loss: 38.3594\n",
+      "34/34 [==============================] - 5s 138ms/step - loss: 52.1240 - val_loss: 54.5082\n",
       "Epoch 11/100\n",
-      "34/34 [==============================] - 2s 67ms/step - loss: 38.0482 - val_loss: 37.9252\n",
+      "34/34 [==============================] - 3s 98ms/step - loss: 51.0218 - val_loss: 52.7509\n",
       "Epoch 12/100\n",
-      "34/34 [==============================] - 2s 67ms/step - loss: 37.6199 - val_loss: 37.5579\n",
+      "34/34 [==============================] - 4s 105ms/step - loss: 50.5377 - val_loss: 51.7127\n",
       "Epoch 13/100\n",
-      "34/34 [==============================] - 2s 66ms/step - loss: 37.2707 - val_loss: 37.2659\n",
+      "34/34 [==============================] - 4s 105ms/step - loss: 49.5032 - val_loss: 50.4486\n",
       "Epoch 14/100\n",
-      "34/34 [==============================] - 2s 65ms/step - loss: 36.9285 - val_loss: 36.9929\n",
+      "34/34 [==============================] - 3s 88ms/step - loss: 48.8340 - val_loss: 49.3774\n",
       "Epoch 15/100\n",
-      "34/34 [==============================] - 2s 64ms/step - loss: 36.6492 - val_loss: 36.6996\n",
+      "34/34 [==============================] - 3s 93ms/step - loss: 48.2497 - val_loss: 48.4823\n",
       "Epoch 16/100\n",
-      "34/34 [==============================] - 2s 62ms/step - loss: 36.3932 - val_loss: 36.4587\n",
+      "34/34 [==============================] - 3s 99ms/step - loss: 47.9291 - val_loss: 47.5002\n",
       "Epoch 17/100\n",
-      "34/34 [==============================] - 2s 68ms/step - loss: 36.1738 - val_loss: 36.2803\n",
+      "34/34 [==============================] - 4s 112ms/step - loss: 47.4186 - val_loss: 46.9753\n",
       "Epoch 18/100\n",
-      "34/34 [==============================] - 3s 79ms/step - loss: 35.9827 - val_loss: 36.1516\n",
+      "34/34 [==============================] - 3s 101ms/step - loss: 46.8059 - val_loss: 46.3890\n",
       "Epoch 19/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 35.7525 - val_loss: 35.9067\n",
+      "34/34 [==============================] - 3s 97ms/step - loss: 46.5899 - val_loss: 45.8526\n",
       "Epoch 20/100\n",
-      "34/34 [==============================] - 2s 65ms/step - loss: 35.5775 - val_loss: 35.7749\n",
+      "34/34 [==============================] - 3s 95ms/step - loss: 46.4123 - val_loss: 45.2635\n",
       "Epoch 21/100\n",
-      "34/34 [==============================] - 2s 66ms/step - loss: 35.4201 - val_loss: 35.6732\n",
+      "34/34 [==============================] - 3s 94ms/step - loss: 46.0663 - val_loss: 45.1106\n",
       "Epoch 22/100\n",
-      "34/34 [==============================] - 2s 67ms/step - loss: 35.2600 - val_loss: 35.4629\n",
+      "34/34 [==============================] - 3s 103ms/step - loss: 45.7434 - val_loss: 44.8881\n",
       "Epoch 23/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 35.1266 - val_loss: 35.3473\n",
+      "34/34 [==============================] - 3s 100ms/step - loss: 45.3718 - val_loss: 44.7197\n",
       "Epoch 24/100\n",
-      "34/34 [==============================] - 3s 74ms/step - loss: 34.9897 - val_loss: 35.2476\n",
+      "34/34 [==============================] - 3s 94ms/step - loss: 45.1999 - val_loss: 45.1824\n",
       "Epoch 25/100\n",
-      "34/34 [==============================] - 2s 65ms/step - loss: 34.8445 - val_loss: 35.0967\n",
+      "34/34 [==============================] - 3s 92ms/step - loss: 44.9222 - val_loss: 44.3987\n",
       "Epoch 26/100\n",
-      "34/34 [==============================] - 3s 78ms/step - loss: 34.7259 - val_loss: 34.9989\n",
+      "34/34 [==============================] - 3s 92ms/step - loss: 44.7142 - val_loss: 44.4156\n",
       "Epoch 27/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 34.6191 - val_loss: 34.8863\n",
+      "34/34 [==============================] - 3s 84ms/step - loss: 44.6111 - val_loss: 44.1554\n",
       "Epoch 28/100\n",
-      "34/34 [==============================] - 2s 74ms/step - loss: 34.4986 - val_loss: 34.8280\n",
+      "34/34 [==============================] - 3s 93ms/step - loss: 44.2656 - val_loss: 44.2711\n",
       "Epoch 29/100\n",
-      "34/34 [==============================] - 2s 66ms/step - loss: 34.3923 - val_loss: 34.6975\n",
+      "34/34 [==============================] - 4s 106ms/step - loss: 44.0533 - val_loss: 43.9119\n",
       "Epoch 30/100\n",
-      "34/34 [==============================] - 2s 68ms/step - loss: 34.2859 - val_loss: 34.6245\n",
+      "34/34 [==============================] - 3s 94ms/step - loss: 43.9792 - val_loss: 43.9191\n",
       "Epoch 31/100\n",
-      "34/34 [==============================] - 2s 67ms/step - loss: 34.1990 - val_loss: 34.5385\n",
+      "34/34 [==============================] - 4s 106ms/step - loss: 43.8525 - val_loss: 43.7474\n",
       "Epoch 32/100\n",
-      "34/34 [==============================] - 2s 66ms/step - loss: 34.1096 - val_loss: 34.4856\n",
+      "34/34 [==============================] - 3s 87ms/step - loss: 43.7775 - val_loss: 43.4801\n",
       "Epoch 33/100\n",
-      "34/34 [==============================] - 2s 59ms/step - loss: 34.0426 - val_loss: 34.4506\n",
+      "34/34 [==============================] - 6s 169ms/step - loss: 43.5140 - val_loss: 43.5722\n",
       "Epoch 34/100\n",
-      "34/34 [==============================] - 2s 72ms/step - loss: 33.9530 - val_loss: 34.3571\n",
+      "34/34 [==============================] - 6s 174ms/step - loss: 43.2982 - val_loss: 43.1831\n",
       "Epoch 35/100\n",
-      "34/34 [==============================] - 3s 77ms/step - loss: 33.8558 - val_loss: 34.2655\n",
+      "34/34 [==============================] - 5s 154ms/step - loss: 43.1576 - val_loss: 43.2260\n",
       "Epoch 36/100\n",
-      "34/34 [==============================] - 2s 72ms/step - loss: 33.7636 - val_loss: 34.1936\n",
+      "34/34 [==============================] - 6s 168ms/step - loss: 43.1837 - val_loss: 43.2875\n",
       "Epoch 37/100\n",
-      "34/34 [==============================] - 3s 76ms/step - loss: 33.6969 - val_loss: 34.1202\n",
+      "34/34 [==============================] - 5s 158ms/step - loss: 43.0613 - val_loss: 43.4874\n",
       "Epoch 38/100\n",
-      "34/34 [==============================] - 3s 86ms/step - loss: 33.6442 - val_loss: 34.0756\n",
+      "34/34 [==============================] - 6s 189ms/step - loss: 42.9291 - val_loss: 43.0591\n",
       "Epoch 39/100\n",
-      "34/34 [==============================] - 3s 81ms/step - loss: 33.5694 - val_loss: 34.0377\n",
+      "34/34 [==============================] - 7s 193ms/step - loss: 42.7697 - val_loss: 42.8983\n",
       "Epoch 40/100\n",
-      "34/34 [==============================] - 3s 77ms/step - loss: 33.5062 - val_loss: 33.9843\n",
+      "34/34 [==============================] - 6s 185ms/step - loss: 42.7271 - val_loss: 42.7413\n",
       "Epoch 41/100\n",
-      "34/34 [==============================] - 3s 81ms/step - loss: 33.4536 - val_loss: 33.9736\n",
+      "34/34 [==============================] - 6s 169ms/step - loss: 42.5912 - val_loss: 42.4571\n",
       "Epoch 42/100\n",
-      "34/34 [==============================] - 3s 85ms/step - loss: 33.4017 - val_loss: 33.8967\n",
+      "34/34 [==============================] - 6s 181ms/step - loss: 42.4228 - val_loss: 42.7078\n",
       "Epoch 43/100\n",
-      "34/34 [==============================] - 3s 83ms/step - loss: 33.3455 - val_loss: 33.8184\n",
+      "34/34 [==============================] - 7s 202ms/step - loss: 42.3195 - val_loss: 42.4552\n",
       "Epoch 44/100\n",
-      "34/34 [==============================] - 3s 80ms/step - loss: 33.2812 - val_loss: 33.7979\n",
+      "34/34 [==============================] - 6s 174ms/step - loss: 42.1567 - val_loss: 42.2601\n",
       "Epoch 45/100\n",
-      "34/34 [==============================] - 3s 78ms/step - loss: 33.2299 - val_loss: 33.7623\n",
+      "34/34 [==============================] - 6s 181ms/step - loss: 42.2008 - val_loss: 42.2622\n",
       "Epoch 46/100\n",
-      "34/34 [==============================] - 3s 77ms/step - loss: 33.1924 - val_loss: 33.7213\n",
+      "34/34 [==============================] - 8s 231ms/step - loss: 41.9850 - val_loss: 41.9799\n",
       "Epoch 47/100\n",
-      "34/34 [==============================] - 3s 82ms/step - loss: 33.1327 - val_loss: 33.6662\n",
+      "34/34 [==============================] - 6s 188ms/step - loss: 42.1100 - val_loss: 42.1784\n",
       "Epoch 48/100\n",
-      "34/34 [==============================] - 3s 82ms/step - loss: 33.0896 - val_loss: 33.6496\n",
-      "Epoch 49/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "34/34 [==============================] - 3s 78ms/step - loss: 33.0505 - val_loss: 33.6292\n",
+      "34/34 [==============================] - 6s 176ms/step - loss: 41.9547 - val_loss: 41.8774\n",
+      "Epoch 49/100\n",
+      "34/34 [==============================] - 5s 158ms/step - loss: 41.7388 - val_loss: 41.7623\n",
       "Epoch 50/100\n",
-      "34/34 [==============================] - 3s 78ms/step - loss: 33.0055 - val_loss: 33.5885\n",
+      "34/34 [==============================] - 6s 173ms/step - loss: 41.7297 - val_loss: 41.9256\n",
       "Epoch 51/100\n",
-      "34/34 [==============================] - 3s 75ms/step - loss: 32.9562 - val_loss: 33.5682\n",
+      "34/34 [==============================] - 6s 163ms/step - loss: 41.6844 - val_loss: 41.6125\n",
       "Epoch 52/100\n",
-      "34/34 [==============================] - 3s 80ms/step - loss: 32.9132 - val_loss: 33.5044\n",
+      "34/34 [==============================] - 6s 181ms/step - loss: 41.6093 - val_loss: 41.6018\n",
       "Epoch 53/100\n",
-      "34/34 [==============================] - 3s 77ms/step - loss: 32.8911 - val_loss: 33.5246\n",
+      "34/34 [==============================] - 5s 149ms/step - loss: 41.5459 - val_loss: 42.0137\n",
       "Epoch 54/100\n",
-      "34/34 [==============================] - 2s 73ms/step - loss: 32.8427 - val_loss: 33.4650\n",
+      "34/34 [==============================] - 6s 169ms/step - loss: 41.4230 - val_loss: 41.6001\n",
       "Epoch 55/100\n",
-      "34/34 [==============================] - 2s 73ms/step - loss: 32.8050 - val_loss: 33.4334\n",
+      "34/34 [==============================] - 6s 169ms/step - loss: 41.3243 - val_loss: 41.5266\n",
       "Epoch 56/100\n",
-      "34/34 [==============================] - 2s 73ms/step - loss: 32.7625 - val_loss: 33.4242\n",
+      "34/34 [==============================] - 5s 159ms/step - loss: 41.2907 - val_loss: 41.2314\n",
       "Epoch 57/100\n",
-      "34/34 [==============================] - 2s 72ms/step - loss: 32.7312 - val_loss: 33.3745\n",
+      "34/34 [==============================] - 6s 174ms/step - loss: 41.2824 - val_loss: 41.2091\n",
       "Epoch 58/100\n",
-      "34/34 [==============================] - 2s 72ms/step - loss: 32.7078 - val_loss: 33.3664\n",
+      "34/34 [==============================] - 6s 178ms/step - loss: 41.1806 - val_loss: 41.1014\n",
       "Epoch 59/100\n",
-      "34/34 [==============================] - 2s 68ms/step - loss: 32.6691 - val_loss: 33.3476\n",
+      "34/34 [==============================] - 6s 174ms/step - loss: 41.1289 - val_loss: 41.1139\n",
       "Epoch 60/100\n",
-      "34/34 [==============================] - 3s 77ms/step - loss: 32.6315 - val_loss: 33.3242\n",
+      "34/34 [==============================] - 6s 174ms/step - loss: 41.0038 - val_loss: 40.9763\n",
       "Epoch 61/100\n",
-      "34/34 [==============================] - 3s 77ms/step - loss: 32.6156 - val_loss: 33.2650\n",
+      "34/34 [==============================] - 6s 166ms/step - loss: 40.9522 - val_loss: 41.6192\n",
       "Epoch 62/100\n",
-      "34/34 [==============================] - 2s 70ms/step - loss: 32.5846 - val_loss: 33.2879\n",
+      "34/34 [==============================] - 5s 157ms/step - loss: 40.9173 - val_loss: 40.9558\n",
       "Epoch 63/100\n",
-      "34/34 [==============================] - 2s 69ms/step - loss: 32.5505 - val_loss: 33.2432\n",
+      "34/34 [==============================] - 6s 179ms/step - loss: 40.8361 - val_loss: 40.8344\n",
       "Epoch 64/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 32.5220 - val_loss: 33.2193\n",
+      "34/34 [==============================] - 6s 166ms/step - loss: 40.7601 - val_loss: 40.8509\n",
       "Epoch 65/100\n",
-      "34/34 [==============================] - 2s 68ms/step - loss: 32.4888 - val_loss: 33.1875\n",
+      "34/34 [==============================] - 5s 150ms/step - loss: 40.7100 - val_loss: 40.7490\n",
       "Epoch 66/100\n",
-      "34/34 [==============================] - 2s 67ms/step - loss: 32.4646 - val_loss: 33.1908\n",
+      "34/34 [==============================] - 6s 172ms/step - loss: 40.7338 - val_loss: 40.7222\n",
       "Epoch 67/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 32.4351 - val_loss: 33.1536\n",
+      "34/34 [==============================] - 5s 138ms/step - loss: 40.5703 - val_loss: 40.7842\n",
       "Epoch 68/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 32.4007 - val_loss: 33.1266\n",
+      "34/34 [==============================] - 5s 140ms/step - loss: 40.5478 - val_loss: 40.5128\n",
       "Epoch 69/100\n",
-      "34/34 [==============================] - 2s 70ms/step - loss: 32.3799 - val_loss: 33.1141\n",
+      "34/34 [==============================] - 5s 147ms/step - loss: 40.4253 - val_loss: 40.5361\n",
       "Epoch 70/100\n",
-      "34/34 [==============================] - 2s 67ms/step - loss: 32.3519 - val_loss: 33.1014\n",
+      "34/34 [==============================] - 6s 173ms/step - loss: 40.4187 - val_loss: 40.6379\n",
       "Epoch 71/100\n",
-      "34/34 [==============================] - 2s 65ms/step - loss: 32.3320 - val_loss: 33.1059\n",
+      "34/34 [==============================] - 5s 158ms/step - loss: 40.3543 - val_loss: 40.4362\n",
       "Epoch 72/100\n",
-      "34/34 [==============================] - 2s 66ms/step - loss: 32.2974 - val_loss: 33.0550\n",
+      "34/34 [==============================] - 5s 162ms/step - loss: 40.3320 - val_loss: 40.3579\n",
       "Epoch 73/100\n",
-      "34/34 [==============================] - 2s 69ms/step - loss: 32.2693 - val_loss: 33.0305\n",
+      "34/34 [==============================] - 6s 171ms/step - loss: 40.3331 - val_loss: 40.3166\n",
       "Epoch 74/100\n",
-      "34/34 [==============================] - 2s 70ms/step - loss: 32.2401 - val_loss: 33.0310\n",
+      "34/34 [==============================] - 5s 137ms/step - loss: 40.2162 - val_loss: 40.3248\n",
       "Epoch 75/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 32.2238 - val_loss: 33.0035\n",
+      "34/34 [==============================] - 5s 145ms/step - loss: 40.2146 - val_loss: 40.2558\n",
       "Epoch 76/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 32.2013 - val_loss: 33.0036\n",
+      "34/34 [==============================] - 5s 158ms/step - loss: 40.1400 - val_loss: 40.1749\n",
       "Epoch 77/100\n",
-      "34/34 [==============================] - 2s 73ms/step - loss: 32.1794 - val_loss: 32.9557\n",
-      "Epoch 78/100\n",
-      "34/34 [==============================] - 2s 70ms/step - loss: 32.1560 - val_loss: 32.9505\n",
+      "34/34 [==============================] - 5s 158ms/step - loss: 40.1136 - val_loss: 40.3237\n",
+      "Epoch 78/100\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "34/34 [==============================] - 6s 179ms/step - loss: 40.0107 - val_loss: 40.0050\n",
       "Epoch 79/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 32.1320 - val_loss: 32.9338\n",
+      "34/34 [==============================] - 6s 176ms/step - loss: 40.1385 - val_loss: 40.3997\n",
       "Epoch 80/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 32.1117 - val_loss: 32.8920\n",
+      "34/34 [==============================] - 5s 147ms/step - loss: 39.9575 - val_loss: 40.0003\n",
       "Epoch 81/100\n",
-      "34/34 [==============================] - 2s 67ms/step - loss: 32.0935 - val_loss: 32.8946\n",
+      "34/34 [==============================] - 5s 153ms/step - loss: 39.8755 - val_loss: 39.9090\n",
       "Epoch 82/100\n",
-      "34/34 [==============================] - 2s 70ms/step - loss: 32.0789 - val_loss: 32.9032\n",
+      "34/34 [==============================] - 5s 156ms/step - loss: 39.8581 - val_loss: 40.1319\n",
       "Epoch 83/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 32.0423 - val_loss: 32.8561\n",
+      "34/34 [==============================] - 6s 169ms/step - loss: 39.8210 - val_loss: 39.8829\n",
       "Epoch 84/100\n",
-      "34/34 [==============================] - 3s 74ms/step - loss: 32.0169 - val_loss: 32.8456\n",
+      "34/34 [==============================] - 5s 159ms/step - loss: 39.7819 - val_loss: 39.8933\n",
       "Epoch 85/100\n",
-      "34/34 [==============================] - 2s 69ms/step - loss: 32.0022 - val_loss: 32.8467\n",
+      "34/34 [==============================] - 6s 172ms/step - loss: 39.7008 - val_loss: 39.8914\n",
       "Epoch 86/100\n",
-      "34/34 [==============================] - 2s 70ms/step - loss: 31.9893 - val_loss: 32.8303\n",
+      "34/34 [==============================] - 6s 172ms/step - loss: 39.6712 - val_loss: 39.8074\n",
       "Epoch 87/100\n",
-      "34/34 [==============================] - 2s 73ms/step - loss: 31.9633 - val_loss: 32.8270\n",
+      "34/34 [==============================] - 6s 183ms/step - loss: 39.6308 - val_loss: 39.6388\n",
       "Epoch 88/100\n",
-      "34/34 [==============================] - 2s 71ms/step - loss: 31.9530 - val_loss: 32.8128\n",
+      "34/34 [==============================] - 6s 180ms/step - loss: 39.5051 - val_loss: 39.6359\n",
       "Epoch 89/100\n",
-      "34/34 [==============================] - 2s 66ms/step - loss: 31.9349 - val_loss: 32.7916\n",
+      "34/34 [==============================] - 6s 181ms/step - loss: 39.5046 - val_loss: 39.6323\n",
       "Epoch 90/100\n",
-      "34/34 [==============================] - 2s 60ms/step - loss: 31.9049 - val_loss: 32.7626\n",
+      "34/34 [==============================] - 7s 194ms/step - loss: 39.5054 - val_loss: 39.6829\n",
       "Epoch 91/100\n",
-      "34/34 [==============================] - 2s 59ms/step - loss: 31.8901 - val_loss: 32.7510\n",
+      "34/34 [==============================] - 6s 171ms/step - loss: 39.4764 - val_loss: 39.6461\n",
       "Epoch 92/100\n",
-      "34/34 [==============================] - 2s 58ms/step - loss: 31.8729 - val_loss: 32.7421\n",
+      "34/34 [==============================] - 7s 195ms/step - loss: 39.4164 - val_loss: 39.5578\n",
       "Epoch 93/100\n",
-      "34/34 [==============================] - 2s 59ms/step - loss: 31.8474 - val_loss: 32.7114\n",
+      "34/34 [==============================] - 6s 192ms/step - loss: 39.4381 - val_loss: 39.5582\n",
       "Epoch 94/100\n",
-      "34/34 [==============================] - 2s 62ms/step - loss: 31.8308 - val_loss: 32.6824\n",
+      "34/34 [==============================] - 6s 164ms/step - loss: 39.3855 - val_loss: 39.6105\n",
       "Epoch 95/100\n",
-      "34/34 [==============================] - 2s 63ms/step - loss: 31.8027 - val_loss: 32.6716\n",
+      "34/34 [==============================] - 4s 109ms/step - loss: 39.3354 - val_loss: 39.4104\n",
       "Epoch 96/100\n",
-      "34/34 [==============================] - 2s 66ms/step - loss: 31.7830 - val_loss: 32.6657\n",
+      "34/34 [==============================] - 4s 104ms/step - loss: 39.3303 - val_loss: 39.3767\n",
       "Epoch 97/100\n",
-      "34/34 [==============================] - 2s 66ms/step - loss: 31.7682 - val_loss: 32.6748\n",
+      "34/34 [==============================] - 4s 105ms/step - loss: 39.3510 - val_loss: 39.5370\n",
       "Epoch 98/100\n",
-      "34/34 [==============================] - 2s 73ms/step - loss: 31.7545 - val_loss: 32.6766\n",
+      "34/34 [==============================] - 4s 119ms/step - loss: 39.2771 - val_loss: 39.3451\n",
       "Epoch 99/100\n",
-      "34/34 [==============================] - 2s 66ms/step - loss: 31.7441 - val_loss: 32.6319\n",
+      "34/34 [==============================] - 4s 116ms/step - loss: 39.2026 - val_loss: 39.2691\n",
       "Epoch 100/100\n",
-      "34/34 [==============================] - 2s 73ms/step - loss: 31.7177 - val_loss: 32.6328\n"
+      "34/34 [==============================] - 4s 105ms/step - loss: 39.1987 - val_loss: 39.3156\n",
+      "1250/1250 [==============================] - 2s 1ms/step\n"
      ]
     }
    ],
@@ -347,7 +388,7 @@
     "                                  {'num_nodes': 64, 'activation_fn': 'relu'}]}, \n",
     "          'decoding': {'layers': [{'num_nodes': 64, 'activation_fn': 'relu'}, \n",
     "                                  {'num_nodes': 128, 'activation_fn': 'selu'}]}, \n",
-    "          'latent': {'num_nodes': 2}, 'optimiser': {'params': {}, 'name': 'adam'}}\n",
+    "          'latent': {'num_nodes': 2}, 'optimiser': {'params': {}, 'name': 'adagrad'}}\n",
     "\n",
     "\n",
     "\n",
@@ -361,7 +402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -380,24 +421,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 1440x144 with 4 Axes>"
+       "<Figure size 2000x200 with 4 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1250/1250 [==============================] - 1s 1ms/step\n",
+      "1250/1250 [==============================] - 3s 2ms/step\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<Figure size 1440x144 with 4 Axes>"
+       "<Figure size 2000x200 with 4 Axes>"
       ]
      },
      "metadata": {},
@@ -446,14 +495,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 216x216 with 1 Axes>"
+       "<Figure size 300x300 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -489,7 +538,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -503,7 +552,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.13"
+   "version": "3.10.8"
   }
  },
  "nbformat": 4,
diff --git a/example/VAE histone.ipynb b/example/VAE histone.ipynb
index 684d511..7324c18 100644
--- a/example/VAE histone.ipynb	
+++ b/example/VAE histone.ipynb	
@@ -9,9 +9,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2022-12-02 11:57:37.520593: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
+      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -564,7 +572,7 @@
        "[20400 rows x 997 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -623,7 +631,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -636,50 +644,71 @@
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "Model: \"encoder\"\n",
       "__________________________________________________________________________________________________\n",
-      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
+      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
       "==================================================================================================\n",
-      "default_input (InputLayer)      [(None, 22)]         0                                            \n",
-      "__________________________________________________________________________________________________\n",
-      "dense (Dense)                   (None, 64)           1472        default_input[0][0]              \n",
-      "__________________________________________________________________________________________________\n",
-      "batch_normalization (BatchNorma (None, 64)           256         dense[0][0]                      \n",
-      "__________________________________________________________________________________________________\n",
-      "dense_1 (Dense)                 (None, 32)           2080        batch_normalization[0][0]        \n",
-      "__________________________________________________________________________________________________\n",
-      "batch_normalization_1 (BatchNor (None, 32)           128         dense_1[0][0]                    \n",
-      "__________________________________________________________________________________________________\n",
-      "z_mean (Dense)                  (None, 3)            99          batch_normalization_1[0][0]      \n",
-      "__________________________________________________________________________________________________\n",
-      "z_log_sigma (Dense)             (None, 3)            99          batch_normalization_1[0][0]      \n",
-      "__________________________________________________________________________________________________\n",
-      "z (Lambda)                      (None, 3)            0           z_mean[0][0]                     \n",
-      "                                                                 z_log_sigma[0][0]                \n",
+      " default_input (InputLayer)     [(None, 22)]         0           []                               \n",
+      "                                                                                                  \n",
+      " dense (Dense)                  (None, 64)           1472        ['default_input[0][0]']          \n",
+      "                                                                                                  \n",
+      " batch_normalization (BatchNorm  (None, 64)          256         ['dense[0][0]']                  \n",
+      " alization)                                                                                       \n",
+      "                                                                                                  \n",
+      " dense_1 (Dense)                (None, 32)           2080        ['batch_normalization[0][0]']    \n",
+      "                                                                                                  \n",
+      " batch_normalization_1 (BatchNo  (None, 32)          128         ['dense_1[0][0]']                \n",
+      " rmalization)                                                                                     \n",
+      "                                                                                                  \n",
+      " z_mean (Dense)                 (None, 3)            99          ['batch_normalization_1[0][0]']  \n",
+      "                                                                                                  \n",
+      " z_log_sigma (Dense)            (None, 3)            99          ['batch_normalization_1[0][0]']  \n",
+      "                                                                                                  \n",
+      " z (Lambda)                     (None, 3)            0           ['z_mean[0][0]',                 \n",
+      "                                                                  'z_log_sigma[0][0]']            \n",
+      "                                                                                                  \n",
       "==================================================================================================\n",
       "Total params: 4,134\n",
       "Trainable params: 3,942\n",
       "Non-trainable params: 192\n",
-      "__________________________________________________________________________________________________\n",
+      "__________________________________________________________________________________________________\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2022-12-02 11:57:45.095364: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
+      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "None\n",
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "\u001b[94m                               Decoder summary:\t                                \u001b[0m\n",
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "Model: \"decoder\"\n",
       "_________________________________________________________________\n",
-      "Layer (type)                 Output Shape              Param #   \n",
+      " Layer (type)                Output Shape              Param #   \n",
       "=================================================================\n",
-      "z_sampling (InputLayer)      [(None, 3)]               0         \n",
-      "_________________________________________________________________\n",
-      "dense_2 (Dense)              (None, 32)                128       \n",
-      "_________________________________________________________________\n",
-      "batch_normalization_2 (Batch (None, 32)                128       \n",
-      "_________________________________________________________________\n",
-      "dense_3 (Dense)              (None, 64)                2112      \n",
-      "_________________________________________________________________\n",
-      "batch_normalization_3 (Batch (None, 64)                256       \n",
-      "_________________________________________________________________\n",
-      "dense_4 (Dense)              (None, 22)                1430      \n",
-      "_________________________________________________________________\n",
-      "batch_normalization_4 (Batch (None, 22)                88        \n",
+      " z_sampling (InputLayer)     [(None, 3)]               0         \n",
+      "                                                                 \n",
+      " dense_2 (Dense)             (None, 32)                128       \n",
+      "                                                                 \n",
+      " batch_normalization_2 (Batc  (None, 32)               128       \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
+      " dense_3 (Dense)             (None, 64)                2112      \n",
+      "                                                                 \n",
+      " batch_normalization_3 (Batc  (None, 64)               256       \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
+      " dense_4 (Dense)             (None, 22)                1430      \n",
+      "                                                                 \n",
+      " batch_normalization_4 (Batc  (None, 22)               88        \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
       "=================================================================\n",
       "Total params: 4,142\n",
       "Trainable params: 3,906\n",
@@ -687,25 +716,25 @@
       "_________________________________________________________________\n",
       "None\n",
       "Epoch 1/10\n",
-      "347/347 [==============================] - 2s 3ms/step - loss: 90.1200 - val_loss: 66.3479\n",
+      "347/347 [==============================] - 5s 4ms/step - loss: 91.5836 - val_loss: 66.6041\n",
       "Epoch 2/10\n",
-      "347/347 [==============================] - 1s 2ms/step - loss: 62.8614 - val_loss: 52.1530\n",
+      "347/347 [==============================] - 1s 3ms/step - loss: 63.0119 - val_loss: 50.2240\n",
       "Epoch 3/10\n",
-      "347/347 [==============================] - 1s 2ms/step - loss: 45.9193 - val_loss: 37.8571\n",
+      "347/347 [==============================] - 1s 3ms/step - loss: 46.0505 - val_loss: 36.2186\n",
       "Epoch 4/10\n",
-      "347/347 [==============================] - 1s 2ms/step - loss: 33.9541 - val_loss: 27.8993\n",
+      "347/347 [==============================] - 1s 2ms/step - loss: 34.1184 - val_loss: 28.0111\n",
       "Epoch 5/10\n",
-      "347/347 [==============================] - 1s 2ms/step - loss: 25.5455 - val_loss: 20.4530\n",
+      "347/347 [==============================] - 1s 3ms/step - loss: 25.7950 - val_loss: 20.6611\n",
       "Epoch 6/10\n",
-      "347/347 [==============================] - 1s 2ms/step - loss: 19.8274 - val_loss: 15.7776\n",
+      "347/347 [==============================] - 1s 2ms/step - loss: 19.8707 - val_loss: 16.2292\n",
       "Epoch 7/10\n",
-      "347/347 [==============================] - 1s 2ms/step - loss: 15.8741 - val_loss: 12.2251\n",
+      "347/347 [==============================] - 1s 2ms/step - loss: 15.7820 - val_loss: 13.0297\n",
       "Epoch 8/10\n",
-      "347/347 [==============================] - 1s 2ms/step - loss: 13.0819 - val_loss: 9.8118\n",
+      "347/347 [==============================] - 1s 2ms/step - loss: 13.0350 - val_loss: 10.5046\n",
       "Epoch 9/10\n",
-      "347/347 [==============================] - 1s 2ms/step - loss: 10.9403 - val_loss: 8.6235\n",
+      "347/347 [==============================] - 1s 3ms/step - loss: 10.8865 - val_loss: 9.0371\n",
       "Epoch 10/10\n",
-      "347/347 [==============================] - 1s 2ms/step - loss: 9.5187 - val_loss: 7.4371\n"
+      "347/347 [==============================] - 1s 3ms/step - loss: 9.7153 - val_loss: 7.9957\n"
      ]
     }
    ],
@@ -756,48 +785,96 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "638/638 [==============================] - 1s 937us/step\n"
+     ]
+    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/ariane/opt/miniconda3/envs/clean_ml/lib/python3.6/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
-      "  warnings.warn(msg, FutureWarning)\n"
+      "/Users/ariane/opt/miniconda3/envs/test_scivae_2022/lib/python3.10/site-packages/sciviso/histogram.py:70: UserWarning: \n",
+      "\n",
+      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
+      "\n",
+      "Please adapt your code to use either `displot` (a figure-level function with\n",
+      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "\n",
+      "For a guide to updating your code to use the new functions, please see\n",
+      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
+      "\n",
+      "  ax = sns.distplot(values, fit=norm, kde=self.plot_kde, rug=self.plot_rug, hist=self.plot_hist,\n"
      ]
     },
     {
      "data": {
-      "image/png": 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Pdjpcg3mz30n1fX0O+EBm/ke3051ZRLwUuAb4HvBt4DzgHKp/912Z+cPFnj/01zaMiHVAZuZbgPcCO3jqLMVrgcsj4uwOR1xURFxBdWLKqR8UXkL1n/VjYPBfqV9GC8x+BXB3Zr4VeFb9TXbYvZTqC2OW6geGEhTz+b2AbcDD9e3PdzlIvyJiI/Am4EREnAtsy8zdwJ3AsP9w+dPZ67teWN8+DjzY1Vx9GgN21//WLwdG6+8t9wKvaXryUG55RcTVwM7T7vqjiHgm8E7gbcDNLHCW4ooOeQYLzQ7cB9xQv/8N4HWZ+VBEfCwiPpuZRxgCfcy+Efj3+vYx4CLg6ErN148FPoZ/BPYBzwf+HLi6g7GWasGzcLsbZ0nuA+6h+oHhnoj4zLD++sspmfkwcENEfAY4H3ikfmga2NTZYH04ffb6B/3rM3MqIn4TeAvwV91OeGaZeVdErIuIdwGfA35SPzQNvKjp+UMZr8y8A7jj1PsR8TLgr6kq/VhEfBMYp/oCPx/4bhdzLmT+7AARsfm0d59HtTsIqm9MQ/N/0Mfsp/7dAS6mCthQOf1jqL+Y35mZcxHxHWB9p8P1b2g/v/twGfCFzPxJRByngL078zxCdYgCqv+DofscX8QG4JeoTnwY+s/3iNhAdRjoo8D/AO+qH+rr331ovnGeSUSMAgeAfwPeFxEH+dnOUhwWXwPeGxHTVMcE/rfrgZbgE8Ad9Q8TD2XmUH9h19E6KyI+APw88Jddz9Sn0j+/3xMRj1LtYl70uMWwyczZiDgYEbdT7da6puuZ+pWZvYh4XkTsA36Bak/VMNsHXAq8nuowytF69hH62EPi2YaSpOKUtkkvSZLxkiSVx3hJkopjvCRJxTFekqTiGC9JUnGMlySpOP8HLf5QV+sLFkQAAAAASUVORK5CYII=\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/ariane/opt/miniconda3/envs/test_scivae_2022/lib/python3.10/site-packages/sciviso/histogram.py:70: UserWarning: \n",
+      "\n",
+      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
+      "\n",
+      "Please adapt your code to use either `displot` (a figure-level function with\n",
+      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "\n",
+      "For a guide to updating your code to use the new functions, please see\n",
+      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
+      "\n",
+      "  ax = sns.distplot(values, fit=norm, kde=self.plot_kde, rug=self.plot_rug, hist=self.plot_hist,\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x288 with 1 Axes>"
+       "<Figure size 400x400 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/ariane/opt/miniconda3/envs/test_scivae_2022/lib/python3.10/site-packages/sciviso/histogram.py:70: UserWarning: \n",
+      "\n",
+      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
+      "\n",
+      "Please adapt your code to use either `displot` (a figure-level function with\n",
+      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "\n",
+      "For a guide to updating your code to use the new functions, please see\n",
+      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
+      "\n",
+      "  ax = sns.distplot(values, fit=norm, kde=self.plot_kde, rug=self.plot_rug, hist=self.plot_hist,\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x288 with 1 Axes>"
+       "<Figure size 400x400 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -806,7 +883,7 @@
     {
      "data": {
       "text/plain": [
-       "<Figure size 288x288 with 0 Axes>"
+       "<Figure size 400x400 with 0 Axes>"
       ]
      },
      "metadata": {},
@@ -832,7 +909,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -843,78 +920,79 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1 forebrain 10.5-days  H3K27ac 0.27451211178046825 0.0\n",
-      "1 forebrain 10.5-days  H3K27me3 -0.402467531879989 0.0\n",
-      "1 forebrain 10.5-days  H3K36me3 0.5516465262414582 0.0\n",
-      "1 forebrain 10.5-days  H3K4me1 0.06020818668346319 7.517398336563563e-18\n",
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      ]
     },
     {
      "data": {
       "text/plain": [
-       "<Figure size 288x288 with 0 Axes>"
+       "<Figure size 400x400 with 0 Axes>"
       ]
      },
      "metadata": {},
@@ -922,9 +1000,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x288 with 4 Axes>"
+       "<Figure size 400x400 with 4 Axes>"
       ]
      },
      "metadata": {},
@@ -963,221 +1041,221 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.274512</td>\n",
+       "      <td>0.870806</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.891349</td>\n",
+       "      <td>0.320996</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.439339</td>\n",
+       "      <td>-0.493981</td>\n",
        "      <td>0.0</td>\n",
        "      <td>forebrain 10.5-days  H3K27ac</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-0.402468</td>\n",
+       "      <td>-0.094475</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>-0.025752</td>\n",
+       "      <td>0.671069</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.491696</td>\n",
+       "      <td>-0.517568</td>\n",
        "      <td>0.0</td>\n",
        "      <td>forebrain 10.5-days  H3K27me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0.551647</td>\n",
+       "      <td>0.806954</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.763373</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.188527</td>\n",
+       "      <td>0.007248</td>\n",
+       "      <td>0.301</td>\n",
+       "      <td>-0.115451</td>\n",
        "      <td>0.0</td>\n",
        "      <td>forebrain 10.5-days  H3K36me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>0.060208</td>\n",
+       "      <td>0.531998</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.570180</td>\n",
+       "      <td>0.493358</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.603079</td>\n",
+       "      <td>-0.675782</td>\n",
        "      <td>0.0</td>\n",
        "      <td>forebrain 10.5-days  H3K4me1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>0.215111</td>\n",
+       "      <td>0.835207</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.875666</td>\n",
+       "      <td>0.452346</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.351103</td>\n",
+       "      <td>-0.433335</td>\n",
        "      <td>0.0</td>\n",
        "      <td>forebrain 10.5-days  H3K4me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>-0.597035</td>\n",
+       "      <td>-0.040679</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.010869</td>\n",
-       "      <td>0.121</td>\n",
-       "      <td>-0.508184</td>\n",
+       "      <td>0.456927</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.359135</td>\n",
        "      <td>0.0</td>\n",
        "      <td>forebrain 10.5-days  H3K9me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>0.539566</td>\n",
+       "      <td>0.791785</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.749059</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.160446</td>\n",
+       "      <td>0.014106</td>\n",
+       "      <td>0.051</td>\n",
+       "      <td>-0.091975</td>\n",
        "      <td>0.0</td>\n",
        "      <td>forebrain 13.5-days  H3K36me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>0.199280</td>\n",
+       "      <td>0.834576</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.849864</td>\n",
+       "      <td>0.402698</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.433749</td>\n",
+       "      <td>-0.487686</td>\n",
        "      <td>0.0</td>\n",
        "      <td>forebrain 16.5-days  H3K9ac</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
-       "      <td>0.264661</td>\n",
+       "      <td>0.868807</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.891405</td>\n",
+       "      <td>0.332717</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.443636</td>\n",
+       "      <td>-0.501295</td>\n",
        "      <td>0.0</td>\n",
        "      <td>hindbrain 10.5-days  H3K27ac</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>-0.388337</td>\n",
+       "      <td>-0.115301</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>-0.051035</td>\n",
+       "      <td>0.651930</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.495081</td>\n",
+       "      <td>-0.507855</td>\n",
        "      <td>0.0</td>\n",
        "      <td>hindbrain 10.5-days  H3K27me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
-       "      <td>0.550509</td>\n",
+       "      <td>0.808450</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.767645</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.184275</td>\n",
+       "      <td>0.013471</td>\n",
+       "      <td>0.060</td>\n",
+       "      <td>-0.109333</td>\n",
        "      <td>0.0</td>\n",
        "      <td>hindbrain 10.5-days  H3K36me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
-       "      <td>0.109581</td>\n",
+       "      <td>0.521469</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.546609</td>\n",
+       "      <td>0.431943</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.645580</td>\n",
+       "      <td>-0.696358</td>\n",
        "      <td>0.0</td>\n",
        "      <td>hindbrain 10.5-days  H3K4me1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
-       "      <td>0.261027</td>\n",
+       "      <td>0.861291</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.892847</td>\n",
+       "      <td>0.396874</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.389718</td>\n",
+       "      <td>-0.442024</td>\n",
        "      <td>0.0</td>\n",
        "      <td>hindbrain 10.5-days  H3K4me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
-       "      <td>-0.601703</td>\n",
+       "      <td>-0.043511</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.026191</td>\n",
+       "      <td>0.466171</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>-0.484576</td>\n",
+       "      <td>0.334923</td>\n",
        "      <td>0.0</td>\n",
        "      <td>hindbrain 10.5-days  H3K9me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
-       "      <td>0.441895</td>\n",
+       "      <td>0.718664</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.700794</td>\n",
+       "      <td>0.045257</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.078097</td>\n",
+       "      <td>-0.028385</td>\n",
        "      <td>0.0</td>\n",
        "      <td>hindbrain 16.5-days  H3K36me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
-       "      <td>0.274490</td>\n",
+       "      <td>0.872945</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.891871</td>\n",
+       "      <td>0.318100</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.433893</td>\n",
+       "      <td>-0.490046</td>\n",
        "      <td>0.0</td>\n",
        "      <td>midbrain 10.5-days  H3K27ac</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
-       "      <td>-0.394669</td>\n",
+       "      <td>-0.091813</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>-0.023182</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.498197</td>\n",
+       "      <td>0.662828</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>-0.517245</td>\n",
        "      <td>0.0</td>\n",
        "      <td>midbrain 10.5-days  H3K27me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
-       "      <td>0.543955</td>\n",
+       "      <td>0.801493</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.760670</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.181270</td>\n",
+       "      <td>0.010422</td>\n",
+       "      <td>0.143</td>\n",
+       "      <td>-0.108426</td>\n",
        "      <td>0.0</td>\n",
        "      <td>midbrain 10.5-days  H3K36me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
-       "      <td>0.114480</td>\n",
+       "      <td>0.550608</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.570949</td>\n",
+       "      <td>0.430657</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.639772</td>\n",
+       "      <td>-0.686448</td>\n",
        "      <td>0.0</td>\n",
        "      <td>midbrain 10.5-days  H3K4me1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
-       "      <td>0.257509</td>\n",
+       "      <td>0.858658</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.889480</td>\n",
+       "      <td>0.401248</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.387667</td>\n",
+       "      <td>-0.436321</td>\n",
        "      <td>0.0</td>\n",
        "      <td>midbrain 10.5-days  H3K4me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20</th>\n",
-       "      <td>-0.592757</td>\n",
+       "      <td>-0.050852</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.015563</td>\n",
-       "      <td>0.027</td>\n",
-       "      <td>-0.522934</td>\n",
+       "      <td>0.469326</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.370313</td>\n",
        "      <td>0.0</td>\n",
        "      <td>midbrain 10.5-days  H3K9me3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21</th>\n",
-       "      <td>0.430367</td>\n",
+       "      <td>0.716943</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.694522</td>\n",
+       "      <td>0.052451</td>\n",
        "      <td>0.000</td>\n",
-       "      <td>0.080119</td>\n",
+       "      <td>-0.032024</td>\n",
        "      <td>0.0</td>\n",
        "      <td>midbrain 16.5-days  H3K36me3</td>\n",
        "    </tr>\n",
@@ -1187,28 +1265,28 @@
       ],
       "text/plain": [
        "      Node 1  Node 1 padj    Node 2  Node 2 padj    Node 3  Node 3 padj  \\\n",
-       "0   0.274512          0.0  0.891349        0.000  0.439339          0.0   \n",
-       "1  -0.402468          0.0 -0.025752        0.000  0.491696          0.0   \n",
-       "2   0.551647          0.0  0.763373        0.000  0.188527          0.0   \n",
-       "3   0.060208          0.0  0.570180        0.000  0.603079          0.0   \n",
-       "4   0.215111          0.0  0.875666        0.000  0.351103          0.0   \n",
-       "5  -0.597035          0.0  0.010869        0.121 -0.508184          0.0   \n",
-       "6   0.539566          0.0  0.749059        0.000  0.160446          0.0   \n",
-       "7   0.199280          0.0  0.849864        0.000  0.433749          0.0   \n",
-       "8   0.264661          0.0  0.891405        0.000  0.443636          0.0   \n",
-       "9  -0.388337          0.0 -0.051035        0.000  0.495081          0.0   \n",
-       "10  0.550509          0.0  0.767645        0.000  0.184275          0.0   \n",
-       "11  0.109581          0.0  0.546609        0.000  0.645580          0.0   \n",
-       "12  0.261027          0.0  0.892847        0.000  0.389718          0.0   \n",
-       "13 -0.601703          0.0  0.026191        0.000 -0.484576          0.0   \n",
-       "14  0.441895          0.0  0.700794        0.000  0.078097          0.0   \n",
-       "15  0.274490          0.0  0.891871        0.000  0.433893          0.0   \n",
-       "16 -0.394669          0.0 -0.023182        0.001  0.498197          0.0   \n",
-       "17  0.543955          0.0  0.760670        0.000  0.181270          0.0   \n",
-       "18  0.114480          0.0  0.570949        0.000  0.639772          0.0   \n",
-       "19  0.257509          0.0  0.889480        0.000  0.387667          0.0   \n",
-       "20 -0.592757          0.0  0.015563        0.027 -0.522934          0.0   \n",
-       "21  0.430367          0.0  0.694522        0.000  0.080119          0.0   \n",
+       "0   0.870806          0.0  0.320996        0.000 -0.493981          0.0   \n",
+       "1  -0.094475          0.0  0.671069        0.000 -0.517568          0.0   \n",
+       "2   0.806954          0.0  0.007248        0.301 -0.115451          0.0   \n",
+       "3   0.531998          0.0  0.493358        0.000 -0.675782          0.0   \n",
+       "4   0.835207          0.0  0.452346        0.000 -0.433335          0.0   \n",
+       "5  -0.040679          0.0  0.456927        0.000  0.359135          0.0   \n",
+       "6   0.791785          0.0  0.014106        0.051 -0.091975          0.0   \n",
+       "7   0.834576          0.0  0.402698        0.000 -0.487686          0.0   \n",
+       "8   0.868807          0.0  0.332717        0.000 -0.501295          0.0   \n",
+       "9  -0.115301          0.0  0.651930        0.000 -0.507855          0.0   \n",
+       "10  0.808450          0.0  0.013471        0.060 -0.109333          0.0   \n",
+       "11  0.521469          0.0  0.431943        0.000 -0.696358          0.0   \n",
+       "12  0.861291          0.0  0.396874        0.000 -0.442024          0.0   \n",
+       "13 -0.043511          0.0  0.466171        0.000  0.334923          0.0   \n",
+       "14  0.718664          0.0  0.045257        0.000 -0.028385          0.0   \n",
+       "15  0.872945          0.0  0.318100        0.000 -0.490046          0.0   \n",
+       "16 -0.091813          0.0  0.662828        0.000 -0.517245          0.0   \n",
+       "17  0.801493          0.0  0.010422        0.143 -0.108426          0.0   \n",
+       "18  0.550608          0.0  0.430657        0.000 -0.686448          0.0   \n",
+       "19  0.858658          0.0  0.401248        0.000 -0.436321          0.0   \n",
+       "20 -0.050852          0.0  0.469326        0.000  0.370313          0.0   \n",
+       "21  0.716943          0.0  0.052451        0.000 -0.032024          0.0   \n",
        "\n",
        "                           labels  \n",
        "0    forebrain 10.5-days  H3K27ac  \n",
@@ -1235,7 +1313,7 @@
        "21   midbrain 16.5-days  H3K36me3  "
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1248,14 +1326,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Having fun with inspecting the latent space\n",
+    "## Plot specific genes\n",
     "\n",
-    "Now we are confident it's learnt stuff, let's look at how all our genes look on the latent space!"
+    "Since we love certain genes, lets have a look at where they are on the latent space"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -1263,187 +1341,16 @@
    },
    "outputs": [
     {
-     "name": "stderr",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/Users/ariane/opt/miniconda3/envs/clean_ml/lib/python3.6/site-packages/sciviso/scatterplot.py:190: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
-      "  plt.tight_layout()\n"
+      "638/638 [==============================] - 1s 1ms/step\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<Figure size 288x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
+       "<Figure size 400x400 with 0 Axes>"
       ]
      },
      "metadata": {},
@@ -1451,9 +1358,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
+       "<Figure size 400x400 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -1461,102 +1368,18 @@
     },
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
+       "<Axes3DSubplot: title={'center': 'RCM genes on latent space'}, xlabel='Dim. 1', ylabel='Dim. 2'>"
       ]
      },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vis.plot_feature_scatters(vae_df, 'external_gene_name', columns=new_cols, show_plt=True, fig_type=\"png\", \n",
-    "                          save_fig=False,\n",
-    "                          title=\"latent space\")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Plot specific genes\n",
-    "\n",
-    "Since we love certain genes, lets have a look at where they are on the latent space"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 288x288 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 288x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Axes3DSubplot:title={'center':'RCM genes on latent space'}, xlabel='Dim. 1', ylabel='Dim. 2'>"
-      ]
-     },
-     "execution_count": 9,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
       "text/plain": [
-       "<Figure size 288x288 with 0 Axes>"
+       "<Figure size 400x400 with 0 Axes>"
       ]
      },
      "metadata": {},
@@ -1577,25 +1400,11 @@
     "                            save_fig=False, user_config={'s': 100})\n",
     "        "
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1609,7 +1418,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.13"
+   "version": "3.10.8"
   },
   "pycharm": {
    "stem_cell": {
diff --git a/example/VAE iris example.ipynb b/example/VAE iris example.ipynb
index f5bb26b..45e47bb 100644
--- a/example/VAE iris example.ipynb	
+++ b/example/VAE iris example.ipynb	
@@ -22,24 +22,27 @@
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "Model: \"encoder\"\n",
       "__________________________________________________________________________________________________\n",
-      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
+      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
       "==================================================================================================\n",
-      "default_input (InputLayer)      [(None, 4)]          0                                            \n",
-      "__________________________________________________________________________________________________\n",
-      "dense (Dense)                   (None, 32)           160         default_input[0][0]              \n",
-      "__________________________________________________________________________________________________\n",
-      "batch_normalization (BatchNorma (None, 32)           128         dense[0][0]                      \n",
-      "__________________________________________________________________________________________________\n",
-      "dense_1 (Dense)                 (None, 16)           528         batch_normalization[0][0]        \n",
-      "__________________________________________________________________________________________________\n",
-      "batch_normalization_1 (BatchNor (None, 16)           64          dense_1[0][0]                    \n",
-      "__________________________________________________________________________________________________\n",
-      "z_mean (Dense)                  (None, 2)            34          batch_normalization_1[0][0]      \n",
-      "__________________________________________________________________________________________________\n",
-      "z_log_sigma (Dense)             (None, 2)            34          batch_normalization_1[0][0]      \n",
-      "__________________________________________________________________________________________________\n",
-      "z (Lambda)                      (None, 2)            0           z_mean[0][0]                     \n",
-      "                                                                 z_log_sigma[0][0]                \n",
+      " default_input (InputLayer)     [(None, 4)]          0           []                               \n",
+      "                                                                                                  \n",
+      " dense_5 (Dense)                (None, 32)           160         ['default_input[0][0]']          \n",
+      "                                                                                                  \n",
+      " batch_normalization_5 (BatchNo  (None, 32)          128         ['dense_5[0][0]']                \n",
+      " rmalization)                                                                                     \n",
+      "                                                                                                  \n",
+      " dense_6 (Dense)                (None, 16)           528         ['batch_normalization_5[0][0]']  \n",
+      "                                                                                                  \n",
+      " batch_normalization_6 (BatchNo  (None, 16)          64          ['dense_6[0][0]']                \n",
+      " rmalization)                                                                                     \n",
+      "                                                                                                  \n",
+      " z_mean (Dense)                 (None, 2)            34          ['batch_normalization_6[0][0]']  \n",
+      "                                                                                                  \n",
+      " z_log_sigma (Dense)            (None, 2)            34          ['batch_normalization_6[0][0]']  \n",
+      "                                                                                                  \n",
+      " z (Lambda)                     (None, 2)            0           ['z_mean[0][0]',                 \n",
+      "                                                                  'z_log_sigma[0][0]']            \n",
+      "                                                                                                  \n",
       "==================================================================================================\n",
       "Total params: 948\n",
       "Trainable params: 852\n",
@@ -51,21 +54,25 @@
       "\u001b[94m--------------------------------------------------------------------------------\u001b[0m\n",
       "Model: \"decoder\"\n",
       "_________________________________________________________________\n",
-      "Layer (type)                 Output Shape              Param #   \n",
+      " Layer (type)                Output Shape              Param #   \n",
       "=================================================================\n",
-      "z_sampling (InputLayer)      [(None, 2)]               0         \n",
-      "_________________________________________________________________\n",
-      "dense_2 (Dense)              (None, 16)                48        \n",
-      "_________________________________________________________________\n",
-      "batch_normalization_2 (Batch (None, 16)                64        \n",
-      "_________________________________________________________________\n",
-      "dense_3 (Dense)              (None, 32)                544       \n",
-      "_________________________________________________________________\n",
-      "batch_normalization_3 (Batch (None, 32)                128       \n",
-      "_________________________________________________________________\n",
-      "dense_4 (Dense)              (None, 4)                 132       \n",
-      "_________________________________________________________________\n",
-      "batch_normalization_4 (Batch (None, 4)                 16        \n",
+      " z_sampling (InputLayer)     [(None, 2)]               0         \n",
+      "                                                                 \n",
+      " dense_7 (Dense)             (None, 16)                48        \n",
+      "                                                                 \n",
+      " batch_normalization_7 (Batc  (None, 16)               64        \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
+      " dense_8 (Dense)             (None, 32)                544       \n",
+      "                                                                 \n",
+      " batch_normalization_8 (Batc  (None, 32)               128       \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
+      " dense_9 (Dense)             (None, 4)                 132       \n",
+      "                                                                 \n",
+      " batch_normalization_9 (Batc  (None, 4)                16        \n",
+      " hNormalization)                                                 \n",
+      "                                                                 \n",
       "=================================================================\n",
       "Total params: 932\n",
       "Trainable params: 828\n",
@@ -73,111 +80,113 @@
       "_________________________________________________________________\n",
       "None\n",
       "Epoch 1/50\n",
-      "3/3 [==============================] - 2s 136ms/step - loss: 65.0137 - val_loss: 45.2093\n",
+      "3/3 [==============================] - 3s 293ms/step - loss: 66.5540 - val_loss: 44.5795\n",
       "Epoch 2/50\n",
-      "3/3 [==============================] - 0s 10ms/step - loss: 61.4688 - val_loss: 44.5712\n",
+      "3/3 [==============================] - 0s 15ms/step - loss: 63.1257 - val_loss: 43.0686\n",
       "Epoch 3/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 59.8518 - val_loss: 44.3098\n",
+      "3/3 [==============================] - 0s 17ms/step - loss: 62.4867 - val_loss: 42.8197\n",
       "Epoch 4/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 59.3679 - val_loss: 43.8034\n",
+      "3/3 [==============================] - 0s 22ms/step - loss: 61.9465 - val_loss: 42.1328\n",
       "Epoch 5/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 58.3015 - val_loss: 43.6160\n",
+      "3/3 [==============================] - 0s 25ms/step - loss: 61.8432 - val_loss: 42.4042\n",
       "Epoch 6/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 56.7676 - val_loss: 43.2870\n",
+      "3/3 [==============================] - 0s 22ms/step - loss: 59.9026 - val_loss: 41.8007\n",
       "Epoch 7/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 57.2235 - val_loss: 43.2226\n",
+      "3/3 [==============================] - 0s 16ms/step - loss: 60.1182 - val_loss: 41.9763\n",
       "Epoch 8/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 54.7436 - val_loss: 43.1812\n",
+      "3/3 [==============================] - 0s 17ms/step - loss: 59.9461 - val_loss: 42.0899\n",
       "Epoch 9/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 55.0494 - val_loss: 43.4191\n",
+      "3/3 [==============================] - 0s 15ms/step - loss: 60.6776 - val_loss: 42.1616\n",
       "Epoch 10/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 54.0444 - val_loss: 42.9868\n",
+      "3/3 [==============================] - 0s 15ms/step - loss: 59.8339 - val_loss: 42.3377\n",
       "Epoch 11/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 53.5144 - val_loss: 43.8869\n",
+      "3/3 [==============================] - 0s 15ms/step - loss: 58.7980 - val_loss: 42.6264\n",
       "Epoch 12/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 52.4047 - val_loss: 43.9749\n",
+      "3/3 [==============================] - 0s 15ms/step - loss: 59.2371 - val_loss: 43.1948\n",
       "Epoch 13/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 51.8519 - val_loss: 43.8850\n",
+      "3/3 [==============================] - 0s 15ms/step - loss: 58.4238 - val_loss: 42.5978\n",
       "Epoch 14/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 52.9125 - val_loss: 43.1881\n",
+      "3/3 [==============================] - 0s 15ms/step - loss: 58.7157 - val_loss: 42.6719\n",
       "Epoch 15/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 50.8577 - val_loss: 42.9980\n",
+      "3/3 [==============================] - 0s 15ms/step - loss: 58.0835 - val_loss: 42.8583\n",
       "Epoch 16/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 50.1762 - val_loss: 41.9570\n",
+      "3/3 [==============================] - 0s 16ms/step - loss: 59.0580 - val_loss: 42.9876\n",
       "Epoch 17/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 50.1966 - val_loss: 41.9968\n",
+      "3/3 [==============================] - 0s 17ms/step - loss: 58.6635 - val_loss: 43.4219\n",
       "Epoch 18/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 48.5942 - val_loss: 41.8674\n",
+      "3/3 [==============================] - 0s 22ms/step - loss: 58.1582 - val_loss: 42.5236\n",
       "Epoch 19/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 48.9852 - val_loss: 41.5905\n",
+      "3/3 [==============================] - 0s 23ms/step - loss: 58.1306 - val_loss: 43.0033\n",
       "Epoch 20/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 48.5129 - val_loss: 41.5118\n",
+      "3/3 [==============================] - 0s 22ms/step - loss: 58.7020 - val_loss: 42.6231\n",
       "Epoch 21/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 48.6562 - val_loss: 41.6033\n",
+      "3/3 [==============================] - 0s 24ms/step - loss: 57.5889 - val_loss: 43.4102\n",
       "Epoch 22/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 47.6538 - val_loss: 41.6442\n",
+      "3/3 [==============================] - 0s 20ms/step - loss: 57.6887 - val_loss: 43.2617\n",
       "Epoch 23/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 46.3491 - val_loss: 41.2448\n",
+      "3/3 [==============================] - 0s 16ms/step - loss: 58.2749 - val_loss: 43.8745\n",
       "Epoch 24/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 46.8797 - val_loss: 41.9994\n",
+      "3/3 [==============================] - 0s 14ms/step - loss: 57.6261 - val_loss: 42.9349\n",
       "Epoch 25/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 46.3410 - val_loss: 41.5445\n",
+      "3/3 [==============================] - 0s 14ms/step - loss: 56.7795 - val_loss: 43.2370\n",
       "Epoch 26/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 46.1249 - val_loss: 41.1267\n",
+      "3/3 [==============================] - 0s 17ms/step - loss: 56.5140 - val_loss: 43.8091\n",
       "Epoch 27/50\n",
-      "3/3 [==============================] - 0s 9ms/step - loss: 45.6862 - val_loss: 41.1069\n",
+      "3/3 [==============================] - 0s 16ms/step - loss: 56.8630 - val_loss: 43.5389\n",
       "Epoch 28/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 45.2888 - val_loss: 40.9291\n",
+      "3/3 [==============================] - 0s 13ms/step - loss: 56.6813 - val_loss: 44.1977\n",
       "Epoch 29/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 44.2186 - val_loss: 40.4155\n",
+      "3/3 [==============================] - 0s 13ms/step - loss: 57.2842 - val_loss: 43.4952\n",
       "Epoch 30/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 44.6420 - val_loss: 39.8001\n",
+      "3/3 [==============================] - 0s 14ms/step - loss: 56.4184 - val_loss: 43.8265\n",
       "Epoch 31/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 44.0442 - val_loss: 39.6868\n",
+      "3/3 [==============================] - 0s 13ms/step - loss: 57.4595 - val_loss: 44.4045\n",
       "Epoch 32/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 43.3314 - val_loss: 39.3397\n",
+      "3/3 [==============================] - 0s 13ms/step - loss: 57.0063 - val_loss: 43.9473\n",
       "Epoch 33/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 42.9897 - val_loss: 38.9782\n",
+      "3/3 [==============================] - 0s 13ms/step - loss: 56.0909 - val_loss: 44.1889\n",
       "Epoch 34/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 42.9201 - val_loss: 39.4524\n",
+      "3/3 [==============================] - 0s 13ms/step - loss: 57.9449 - val_loss: 44.1739\n",
       "Epoch 35/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 42.4137 - val_loss: 39.4405\n",
+      "3/3 [==============================] - 0s 16ms/step - loss: 56.6295 - val_loss: 45.2763\n",
       "Epoch 36/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 42.1905 - val_loss: 39.0600\n",
-      "Epoch 37/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 41.6753 - val_loss: 38.1279\n",
-      "Epoch 38/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 41.9757 - val_loss: 38.3561\n",
-      "Epoch 39/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 41.4665 - val_loss: 38.9618\n",
-      "Epoch 40/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 41.0937 - val_loss: 38.4766\n",
-      "Epoch 41/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 41.1401 - val_loss: 38.2454\n",
-      "Epoch 42/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 40.1148 - val_loss: 38.8869\n",
-      "Epoch 43/50\n"
+      "3/3 [==============================] - 0s 19ms/step - loss: 56.9186 - val_loss: 45.1395\n",
+      "Epoch 37/50\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "3/3 [==============================] - 0s 8ms/step - loss: 40.6444 - val_loss: 39.1155\n",
+      "3/3 [==============================] - 0s 20ms/step - loss: 56.2809 - val_loss: 45.3918\n",
+      "Epoch 38/50\n",
+      "3/3 [==============================] - 0s 15ms/step - loss: 55.9226 - val_loss: 45.6835\n",
+      "Epoch 39/50\n",
+      "3/3 [==============================] - 0s 12ms/step - loss: 56.5302 - val_loss: 45.9542\n",
+      "Epoch 40/50\n",
+      "3/3 [==============================] - 0s 12ms/step - loss: 55.9486 - val_loss: 45.6951\n",
+      "Epoch 41/50\n",
+      "3/3 [==============================] - 0s 12ms/step - loss: 56.7062 - val_loss: 46.2314\n",
+      "Epoch 42/50\n",
+      "3/3 [==============================] - 0s 13ms/step - loss: 55.9943 - val_loss: 46.1903\n",
+      "Epoch 43/50\n",
+      "3/3 [==============================] - 0s 13ms/step - loss: 56.0830 - val_loss: 45.9534\n",
       "Epoch 44/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 40.2660 - val_loss: 38.5849\n",
+      "3/3 [==============================] - 0s 12ms/step - loss: 55.8083 - val_loss: 45.0825\n",
       "Epoch 45/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 39.0426 - val_loss: 37.8461\n",
+      "3/3 [==============================] - 0s 12ms/step - loss: 55.4881 - val_loss: 46.1091\n",
       "Epoch 46/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 39.4149 - val_loss: 37.4848\n",
+      "3/3 [==============================] - 0s 13ms/step - loss: 54.5756 - val_loss: 45.8180\n",
       "Epoch 47/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 39.8937 - val_loss: 37.2382\n",
+      "3/3 [==============================] - 0s 12ms/step - loss: 56.3269 - val_loss: 46.0869\n",
       "Epoch 48/50\n",
-      "3/3 [==============================] - 0s 8ms/step - loss: 38.4354 - val_loss: 36.8940\n",
+      "3/3 [==============================] - 0s 12ms/step - loss: 54.9613 - val_loss: 46.5239\n",
       "Epoch 49/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 38.0241 - val_loss: 37.5336\n",
+      "3/3 [==============================] - 0s 12ms/step - loss: 54.7402 - val_loss: 45.2246\n",
       "Epoch 50/50\n",
-      "3/3 [==============================] - 0s 7ms/step - loss: 39.4242 - val_loss: 36.5274\n"
+      "3/3 [==============================] - 0s 12ms/step - loss: 55.2498 - val_loss: 46.6639\n",
+      "5/5 [==============================] - 0s 1ms/step\n",
+      "5/5 [==============================] - 0s 1ms/step\n"
      ]
     }
    ],
@@ -199,7 +208,7 @@
     "                                  {'num_nodes': 16, 'activation_fn': 'selu'}]}, # Second layer of encoding\n",
     "          'decoding': {'layers': [{'num_nodes': 16, 'activation_fn': 'selu'},  # First layer of decoding\n",
     "                                  {'num_nodes': 32, 'activation_fn': 'selu'}]}, # Second layer of decoding \n",
-    " 'latent': {'num_nodes': 2}, 'optimiser': {'params': {}, 'name': 'adam'}} # Empty params means use default\n",
+    " 'latent': {'num_nodes': 2}, 'optimiser': {'params': {}, 'name': 'adagrad'}} # Empty params means use default\n",
     "\n",
     "# Path to the data\n",
     "data = f'{data_dir}iris.csv'\n",
@@ -231,10 +240,18 @@
    "execution_count": 3,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/ariane/opt/miniconda3/envs/test_scivae_2022/lib/python3.10/site-packages/sciviso/scatterplot.py:114: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
+      "  scatter = ax.scatter(vis_df[x].values, vis_df[y].values, c=self.colour, alpha=self.opacity,\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:title={'center':'Latent space coloured by class'}, xlabel='VAE 0', ylabel='VAE 1'>"
+       "<AxesSubplot: title={'center': 'Latent space coloured by class'}, xlabel='VAE 0', ylabel='VAE 1'>"
       ]
      },
      "execution_count": 3,
@@ -243,9 +260,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 216x216 with 1 Axes>"
+       "<Figure size 300x300 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -284,14 +301,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "0.9130434782608695\n",
-      "0.8888888888888888\n"
+      "0.782608695652174\n",
+      "0.9166666666666666\n"
      ]
     }
    ],
    "source": [
-    "\n",
-    "vd = Validate(vae, labels)\n",
+    "vd = Validate(encoding, labels)\n",
     "print(vd.predict('rf', 'accuracy'))\n",
     "print(vd.predict('svm', 'balanced_accuracy'))"
    ]
@@ -306,7 +322,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -320,7 +336,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.13"
+   "version": "3.10.8"
   }
  },
  "nbformat": 4,
diff --git a/scivae/vae.py b/scivae/vae.py
index 8c5359a..480720c 100644
--- a/scivae/vae.py
+++ b/scivae/vae.py
@@ -27,7 +27,6 @@
 import pickle
 from sklearn.preprocessing import MinMaxScaler
 from scivae.validate import Validate
-from tensorflow.keras.callbacks import TensorBoard
 import json
 from scivae import Loss
 from sciutil import SciException, SciUtil
@@ -559,8 +558,7 @@ def optimiser(self, optimiser_name: str, params: dict):
             return optimizers.Adamax(learning_rate=learning_rate, beta_1=beta_1, beta_2=beta_2)
 
         elif optimiser_name == 'adam':
-            return optimizers.Adam(learning_rate=learning_rate, beta_1=beta_1, decay=decay,
-                                   beta_2=beta_2, amsgrad=amsgrad)
+            return optimizers.Adam(learning_rate=learning_rate, beta_1=beta_1, beta_2=beta_2, amsgrad=amsgrad)
 
         elif optimiser_name == 'adadelta':
             return optimizers.Adadelta(learning_rate=learning_rate, rho=rho)
diff --git a/tests/data/sub_seqs_species.csv b/tests/data/sub_seqs_species.csv
new file mode 100644
index 0000000..5df74e9
--- /dev/null
+++ b/tests/data/sub_seqs_species.csv
@@ -0,0 +1,10001 @@
+0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29
+Klebsiellapneumoniae-20_GR_12,gltX,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0
+Klebsiellapneumoniae-20_GR_12,gltX,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0
+Klebsiellapneumoniae-20_GR_12,gltX,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0
+Klebsiellapneumoniae-20_GR_12,gltX,0.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+Klebsiellapneumoniae-20_GR_12,gltX,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0
+Klebsiellapneumoniae-20_GR_12,gltX,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0
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diff --git a/tests/test_vae.py b/tests/test_vae.py
index e9eec84..97ab0c2 100644
--- a/tests/test_vae.py
+++ b/tests/test_vae.py
@@ -70,9 +70,9 @@ def test_histone_data(self):
         vis = Vis(vae, vae.u, None)
         vis.plot_node_hists(show_plt=True, save_fig=False)
         vis.plot_node_feature_correlation(vae_df, 'external_gene_name', columns=new_cols, show_plt=True, save_fig=False)
-
-        vis.plot_feature_scatters(vae_df, 'external_gene_name', columns=new_cols, show_plt=True, fig_type="png", save_fig=True,
-                                  title="latent space", output_dir='test_figures/')
+        #
+        # vis.plot_feature_scatters(vae_df, 'external_gene_name', columns=new_cols, show_plt=True, fig_type="png", save_fig=True,
+        #                           title="latent space", output_dir='test_figures/')
 
         cool_genes = [['Emx1', 'Eomes', 'Tbr1', 'Foxg1', 'Lhx6', 'Arx', 'Dlx1', 'Dlx2', 'Dlx5', 'Nr2e2', 'Otx2'],
                       ['Hoxd8', 'Hoxd9', 'Hoxd10', 'Hoxd11', 'Hoxd12', 'Hoxd13', 'Hoxa7', 'Hoxa9', 'Hoxa10', 'Hoxa11',