From 1a456857a6ec7ebad26bc915fe8bf25640584b33 Mon Sep 17 00:00:00 2001
From: Jean-Luc Parouty <Jean-Luc.Parouty@grenoble-inp.fr>
Date: Sat, 20 Mar 2021 22:37:05 +0100
Subject: [PATCH] VAE : Work in progress...

---
 VAE/01-VAE-with-MNIST.ipynb                 | 331 +++++++++-
 VAE/01b-VAE-with-MNIST.ipynb                | 660 ++++++++++++++++++++
 VAE/modules/Callbacks.py                    | 117 ++++
 VAE/modules/{VAE.py => VAE-old.py}          |   0
 VAE/modules/callbacks.py                    |  79 ---
 VAE/modules/callbacks/BestModelCallback.py  |  34 +
 VAE/modules/callbacks/ImagesCallback.py     | 109 ++++
 VAE/modules/callbacks/__init__.py           |   2 +
 VAE/modules/data_generator.py               | 147 -----
 VAE/modules/layers/SamplingLayer.py         |  36 ++
 VAE/modules/models/VAE.py                   | 141 +++++
 VAE2/01-VAE-with-MNIST.ipynb                | 523 ++++++++++++++++
 VAE2/02-VAE-with-MNIST.ipynb                | 660 ++++++++++++++++++++
 VAE2/foo.h5                                 | Bin 0 -> 1026696 bytes
 VAE2/modules/AE.py                          |  59 ++
 VAE2/modules/Callbacks.py                   | 117 ++++
 VAE2/modules/VAE-old.py                     |  91 +++
 VAE2/modules/callbacks/BestModelCallback.py |  34 +
 VAE2/modules/callbacks/ImagesCallback.py    | 109 ++++
 VAE2/modules/callbacks/__init__.py          |   2 +
 VAE2/modules/layers/SamplingLayer.py        |  36 ++
 VAE2/modules/layers/VariationalLossLayer.py |  60 ++
 VAE2/modules/layers/__init__.py             |   2 +
 VAE2/modules/loader_MNIST.py                |  61 ++
 VAE2/modules/models/VAE.py                  | 141 +++++
 25 files changed, 3301 insertions(+), 250 deletions(-)
 create mode 100644 VAE/01b-VAE-with-MNIST.ipynb
 create mode 100644 VAE/modules/Callbacks.py
 rename VAE/modules/{VAE.py => VAE-old.py} (100%)
 delete mode 100644 VAE/modules/callbacks.py
 create mode 100644 VAE/modules/callbacks/BestModelCallback.py
 create mode 100644 VAE/modules/callbacks/ImagesCallback.py
 create mode 100644 VAE/modules/callbacks/__init__.py
 delete mode 100644 VAE/modules/data_generator.py
 create mode 100644 VAE/modules/layers/SamplingLayer.py
 create mode 100644 VAE/modules/models/VAE.py
 create mode 100644 VAE2/01-VAE-with-MNIST.ipynb
 create mode 100644 VAE2/02-VAE-with-MNIST.ipynb
 create mode 100644 VAE2/foo.h5
 create mode 100644 VAE2/modules/AE.py
 create mode 100644 VAE2/modules/Callbacks.py
 create mode 100644 VAE2/modules/VAE-old.py
 create mode 100644 VAE2/modules/callbacks/BestModelCallback.py
 create mode 100644 VAE2/modules/callbacks/ImagesCallback.py
 create mode 100644 VAE2/modules/callbacks/__init__.py
 create mode 100644 VAE2/modules/layers/SamplingLayer.py
 create mode 100644 VAE2/modules/layers/VariationalLossLayer.py
 create mode 100644 VAE2/modules/layers/__init__.py
 create mode 100644 VAE2/modules/loader_MNIST.py
 create mode 100644 VAE2/modules/models/VAE.py

diff --git a/VAE/01-VAE-with-MNIST.ipynb b/VAE/01-VAE-with-MNIST.ipynb
index 294b1d8..88a9784 100644
--- a/VAE/01-VAE-with-MNIST.ipynb
+++ b/VAE/01-VAE-with-MNIST.ipynb
@@ -39,9 +39,116 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       "\n",
+       "div.warn {    \n",
+       "    background-color: #fcf2f2;\n",
+       "    border-color: #dFb5b4;\n",
+       "    border-left: 5px solid #dfb5b4;\n",
+       "    padding: 0.5em;\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;;\n",
+       "    }\n",
+       "\n",
+       "\n",
+       "\n",
+       "div.nota {    \n",
+       "    background-color: #DAFFDE;\n",
+       "    border-left: 5px solid #92CC99;\n",
+       "    padding: 0.5em;\n",
+       "    }\n",
+       "\n",
+       "div.todo:before { content:url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1My44OTEyIiBoZWlnaHQ9IjE0My4zOTAyIiB2aWV3Qm94PSIwIDAgNTMuODkxMiAxNDMuMzkwMiI+PHRpdGxlPjAwLUJvYi10b2RvPC90aXRsZT48cGF0aCBkPSJNMjMuNDU2OCwxMTQuMzAxNmExLjgwNjMsMS44MDYzLDAsMSwxLDEuODE1NywxLjgyNEExLjgyMDksMS44MjA5LDAsMCwxLDIzLjQ1NjgsMTE0LjMwMTZabS0xMC42NjEyLDEuODIyQTEuODI3MiwxLjgyNzIsMCwxLDAsMTAuOTgsMTE0LjMsMS44MiwxLjgyLDAsMCwwLDEyLjc5NTYsMTE2LjEyMzZabS03LjcwNyw0LjU4NzR2LTVzLjQ4NjMtOS4xMjIzLDguMDIxNS0xMS45Njc1YTE5LjIwODIsMTkuMjA4MiwwLDAsMSw2LjA0ODYtMS4yNDU0LDE5LjE3NzgsMTkuMTc3OCwwLDAsMSw2LjA0ODcsMS4yNDc1YzcuNTM1MSwyLjgzNDcsOC4wMTc0LDExLjk2NzQsOC4wMTc0LDExLjk2NzR2NS4wMjM0bC4wMDQyLDcuNjgydjIuNGMuMDE2Ny4xOTkyLjAzMzYuMzkyMS4wMzM2LjU4NzEsMCwuMjEzOC0uMDE2OC40MTA5LS4wMzM2LjYzMzJ2LjA1ODdoLS4wMDg0YTguMzcxOSw4LjM3MTksMCwwLDEtNy4zNzM4LDcuNjU0N3MtLjk5NTMsMy42MzgtNi42OTMzLDMuNjM4LTYuNjkzNC0zLjYzOC02LjY5MzQtMy42MzhhOC4zNyw4LjM3LDAsMCwxLTcuMzcxNi03LjY1NDdINS4wODQzdi0uMDU4N2MtLjAxODktLjIyLS4wMjk0LS40MTk0LS4wMjk0LS42MzMyLDAtLjE5MjkuMDE2Ny0uMzgzNy4wMjk0LS41ODcxdi0yLjRtMTguMDkzNy00LjA0YTEuMTU2NSwxLjE1NjUsMCwxLDAtMi4zMTI2LDAsMS4xNTY0LDEuMTU2NCwwLDEsMCwyLjMxMjYsMFptNC4wODM0LDBhMS4xNTk1LDEuMTU5NSwwLDEsMC0xLjE2MzYsMS4xN0ExLjE3NSwxLjE3NSwwLDAsMCwyNy4yNjE0LDEyNC4zNzc5Wk05LjM3MzksMTE0LjYzNWMwLDMuMTA5MywyLjQxMzIsMy4zMSwyLjQxMzIsMy4zMWExMzMuOTI0MywxMzMuOTI0MywwLDAsMCwxNC43MzQ4LDBzMi40MTExLS4xOTI5LDIuNDExMS0zLjMxYTguMDc3Myw4LjA3NzMsMCwwLDAtMi40MTExLTUuNTUxOWMtNC41LTMuNTAzMy05LjkxMjYtMy41MDMzLTE0Ljc0MTEsMEE4LjA4NTEsOC4wODUxLDAsMCwwLDkuMzczOSwxMTQuNjM1WiIgc3R5bGU9ImZpbGw6IzAxMDEwMSIvPjxjaXJjbGUgY3g9IjMzLjE0MzYiIGN5PSIxMjQuNTM0IiByPSIzLjgzNjMiIHN0eWxlPSJmaWxsOiMwMTAxMDEiLz48cmVjdCB4PSIzNS42NjU5IiB5PSIxMTIuOTYyNSIgd2lkdGg9IjIuMDc3IiBoZWlnaHQ9IjEwLjU0NTgiIHRyYW5zZm9ybT0idHJhbnNsYXRlKDIxLjYgMjQxLjExMjEpIHJvdGF0ZSgtMTU1Ljc0NikiIHN0eWxlPSJmaWxsOiMwMTAxMDEiLz48Y2lyY2xlIGN4PSIzOC44NzA0IiBjeT0iMTEzLjQyNzkiIHI9IjIuNDA4NSIgc3R5bGU9ImZpbGw6IzAxMDEwMSIvPjxjaXJjbGUgY3g9IjUuMjI0OCIgY3k9IjEyNC41MzQiIHI9IjMuODM2MyIgc3R5bGU9ImZpbGw6IzAxMDEwMSIvPjxyZWN0IHg9IjEuNDE2NCIgeT0iMTI0LjYzMDEiIHdpZHRoPSIyLjA3NyIgaGVpZ2h0PSIxMC41NDU4IiB0cmFuc2Zvcm09InRyYW5zbGF0ZSg0LjkwOTcgMjU5LjgwNikgcm90YXRlKC0xODApIiBzdHlsZT0iZmlsbDojMDEwMTAxIi8+PGNpcmNsZSBjeD0iMi40MDkxIiBjeT0iMTM3LjA5OTYiIHI9IjIuNDA4NSIgc3R5bGU9ImZpbGw6IzAxMDEwMSIvPjxwYXRoIGQ9Ik0xOC4wNTExLDEwMC4xMDY2aC0uMDE0NlYxMDIuNjFoMi4zdi0yLjQyNzlhMi40MjI5LDIuNDIyOSwwLDEsMC0yLjI4NTQtLjA3NTVaIiBzdHlsZT0iZmlsbDojMDEwMTAxIi8+PHBhdGggZD0iTTM5LjQyMTQsMjcuMjU4djEuMDVBMTEuOTQ1MiwxMS45NDUyLDAsMCwwLDQ0LjU5NTQsNS43OWEuMjQ0OS4yNDQ5LDAsMCwxLS4wMjM1LS40MjI3TDQ2Ljc1LDMuOTUxNWEuMzg5Mi4zODkyLDAsMCwxLC40MjYyLDAsMTQuODQ0MiwxNC44NDQyLDAsMCwxLTcuNzU0MywyNy4yNTkxdjEuMDY3YS40NS40NSwwLDAsMS0uNzA0Ny4zNzU4bC0zLjg0MTktMi41MWEuNDUuNDUsMCwwLDEsMC0uNzUxNmwzLjg0MTktMi41MWEuNDUuNDUsMCwwLDEsLjY5NDYuMzc1OFpNNDMuMjMsMi41ODkyLDM5LjM4NzguMDc5NGEuNDUuNDUsMCwwLDAtLjcwNDYuMzc1OHYxLjA2N2ExNC44NDQyLDE0Ljg0NDIsMCwwLDAtNy43NTQzLDI3LjI1OTEuMzg5LjM4OSwwLDAsMCwuNDI2MSwwbDIuMTc3Ny0xLjQxOTNhLjI0NS4yNDUsMCwwLDAtLjAyMzUtLjQyMjgsMTEuOTQ1MSwxMS45NDUxLDAsMCwxLDUuMTc0LTIyLjUxNDZ2MS4wNWEuNDUuNDUsMCwwLDAsLjcwNDYuMzc1OGwzLjg1NTMtMi41MWEuNDUuNDUsMCwwLDAsMC0uNzUxNlpNMzkuMDUyMywxNC4yNDU4YTIuMTIwNiwyLjEyMDYsMCwxLDAsMi4xMjA2LDIuMTIwNmgwQTIuMTI0LDIuMTI0LDAsMCwwLDM5LjA1MjMsMTQuMjQ1OFptNi4wNzMyLTQuNzc4MS44MjU0LjgyNTVhMS4wNTY4LDEuMDU2OCwwLDAsMSwuMTE3NSwxLjM0MjFsLS44MDIsMS4xNDQyYTcuMTAxOCw3LjEwMTgsMCwwLDEsLjcxMTQsMS43MTEybDEuMzc1Ny4yNDE2YTEuMDU2OSwxLjA1NjksMCwwLDEsLjg3NTcsMS4wNHYxLjE2NDNhMS4wNTY5LDEuMDU2OSwwLDAsMS0uODc1NywxLjA0bC0xLjM3MjQuMjQxNkE3LjExLDcuMTEsMCwwLDEsNDUuMjcsMTkuOTNsLjgwMTksMS4xNDQyYTEuMDU3LDEuMDU3LDAsMCwxLS4xMTc0LDEuMzQyMmwtLjgyODguODQ4OWExLjA1NywxLjA1NywwLDAsMS0xLjM0MjEuMTE3NGwtMS4xNDQyLS44MDE5YTcuMTMzOCw3LjEzMzgsMCwwLDEtMS43MTEzLjcxMTNsLS4yNDE2LDEuMzcyNGExLjA1NjgsMS4wNTY4LDAsMCwxLTEuMDQuODc1N0gzOC40Njg0YTEuMDU2OCwxLjA1NjgsMCwwLDEtMS4wNC0uODc1N2wtLjI0MTYtMS4zNzI0YTcuMTM1NSw3LjEzNTUsMCwwLDEtMS43MTEzLS43MTEzbC0xLjE0NDEuODAxOWExLjA1NzEsMS4wNTcxLDAsMCwxLTEuMzQyMi0uMTE3NGwtLjgzNTUtLjgyNTVhMS4wNTcsMS4wNTcsMCwwLDEtLjExNzQtMS4zNDIxbC44MDE5LTEuMTQ0MmE3LjEyMSw3LjEyMSwwLDAsMS0uNzExMy0xLjcxMTJsLTEuMzcyNC0uMjQxNmExLjA1NjksMS4wNTY5LDAsMCwxLS44NzU3LTEuMDRWMTUuNzgyNmExLjA1NjksMS4wNTY5LDAsMCwxLC44NzU3LTEuMDRsMS4zNzU3LS4yNDE2YTcuMTEsNy4xMSwwLDAsMSwuNzExNC0xLjcxMTJsLS44MDItMS4xNDQyYTEuMDU3LDEuMDU3LDAsMCwxLC4xMTc1LTEuMzQyMmwuODI1NC0uODI1NEExLjA1NjgsMS4wNTY4LDAsMCwxLDM0LjMyNDUsOS4zNmwxLjE0NDIuODAxOUE3LjEzNTUsNy4xMzU1LDAsMCwxLDM3LjE4LDkuNDUxbC4yNDE2LTEuMzcyNGExLjA1NjgsMS4wNTY4LDAsMCwxLDEuMDQtLjg3NTdoMS4xNjc3YTEuMDU2OSwxLjA1NjksMCwwLDEsMS4wNC44NzU3bC4yNDE2LDEuMzcyNGE3LjEyNSw3LjEyNSwwLDAsMSwxLjcxMTIuNzExM0w0My43NjY2LDkuMzZBMS4wNTY5LDEuMDU2OSwwLDAsMSw0NS4xMjU1LDkuNDY3N1ptLTIuMDMsNi44OTg3QTQuMDQzMyw0LjA0MzMsMCwxLDAsMzkuMDUyMywyMC40MWgwQTQuMDQ2NSw0LjA0NjUsMCwwLDAsNDMuMDk1NSwxNi4zNjY0WiIgc3R5bGU9ImZpbGw6I2UxMjIyOSIvPjxwb2x5Z29uIHBvaW50cz0iMzkuNDEzIDM0Ljc1NyAzOS41MzcgMzQuNzU3IDM5LjY3NSAzNC43NTcgMzkuNjc1IDEwOS41MSAzOS41MzcgMTA5LjUxIDM5LjQxMyAxMDkuNTEgMzkuNDEzIDM0Ljc1NyAzOS40MTMgMzQuNzU3IiBzdHlsZT0iZmlsbDpub2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+       "    float:left;\n",
+       "    margin-right:20px;\n",
+       "    margin-top:-20px;\n",
+       "    margin-bottom:20px;\n",
+       "}\n",
+       "div.todo{\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;\n",
+       "    margin-top:40px;\n",
+       "}\n",
+       "div.todo ul{\n",
+       "    margin: 0.2em;\n",
+       "}\n",
+       "div.todo li{\n",
+       "    margin-left:60px;\n",
+       "    margin-top:0;\n",
+       "    margin-bottom:0;\n",
+       "}\n",
+       "\n",
+       "div .comment{\n",
+       "    font-size:0.8em;\n",
+       "    color:#696969;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "</style>\n",
+       "\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**FIDLE 2020 - Practical Work Module**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Version              : 2.0.20\n",
+      "Notebook id          : VAE1\n",
+      "Run time             : Friday 19 March 2021, 19:58:50\n",
+      "TensorFlow version   : 2.2.0\n",
+      "Keras version        : 2.3.0-tf\n",
+      "Datasets dir         : /home/pjluc/datasets/fidle\n",
+      "Run dir              : ./run/MNIST.001\n",
+      "Update keras cache   : False\n"
+     ]
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**FIDLE 2021 - VAE**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Version              : 1.4\n",
+      "TensorFlow version   : 2.2.0\n",
+      "Keras version        : 2.3.0-tf\n"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "from skimage import io\n",
@@ -77,7 +184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -107,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -124,9 +231,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dataset loaded.\n",
+      "Normalized.\n",
+      "Expanded.\n",
+      "Concatenate.\n",
+      "x shape : (70000, 28, 28, 1)\n",
+      "y shape : (70000,)\n",
+      "\n",
+      "Train shape after rescale :  (7000, 28, 28, 1)\n"
+     ]
+    }
+   ],
    "source": [
     "x_train, _ = Loader_MNIST.get()\n",
     "np.random.shuffle(x_train)\n",
@@ -144,9 +266,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x169.2 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "pwk.plot_images(x_train[:5], None, indices='all', columns=5, x_size=3,y_size=2, save_as='01-original')"
    ]
@@ -167,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -197,7 +330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -233,9 +366,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Init VAE, with r_loss_factor=0.994\n"
+     ]
+    }
+   ],
    "source": [
     "vae = VAE(encoder, decoder, r_loss_factor)\n",
     "\n",
@@ -252,7 +393,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -281,9 +422,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/10\n",
+      "110/110 [==============================] - 6s 53ms/step - loss: 0.3451 - r_loss: 0.3459 - kl_loss: 0.2163\n",
+      "Epoch 2/10\n",
+      "110/110 [==============================] - 6s 59ms/step - loss: 0.2569 - r_loss: 0.2544 - kl_loss: 0.6671\n",
+      "Epoch 3/10\n",
+      "110/110 [==============================] - 6s 53ms/step - loss: 0.2511 - r_loss: 0.2477 - kl_loss: 0.8252\n",
+      "Epoch 4/10\n",
+      "110/110 [==============================] - ETA: 0s - loss: 0.2456 - r_loss: 0.2409 - kl_loss: 1.02 - 6s 50ms/step - loss: 0.2457 - r_loss: 0.2410 - kl_loss: 1.0257\n",
+      "Epoch 5/10\n",
+      "110/110 [==============================] - 6s 53ms/step - loss: 0.2314 - r_loss: 0.2232 - kl_loss: 1.5807\n",
+      "Epoch 6/10\n",
+      "110/110 [==============================] - 6s 54ms/step - loss: 0.2232 - r_loss: 0.2141 - kl_loss: 1.7170\n",
+      "Epoch 7/10\n",
+      "110/110 [==============================] - 6s 54ms/step - loss: 0.2198 - r_loss: 0.2103 - kl_loss: 1.7970\n",
+      "Epoch 8/10\n",
+      "110/110 [==============================] - 6s 54ms/step - loss: 0.2179 - r_loss: 0.2079 - kl_loss: 1.8681\n",
+      "Epoch 9/10\n",
+      "110/110 [==============================] - 6s 54ms/step - loss: 0.2158 - r_loss: 0.2055 - kl_loss: 1.9183\n",
+      "Epoch 10/10\n",
+      "110/110 [==============================] - 6s 54ms/step - loss: 0.2143 - r_loss: 0.2037 - kl_loss: 1.9826\n",
+      "\n",
+      "Duration :  00:01:00 453ms\n"
+     ]
+    }
+   ],
    "source": [
     "pwk.chrono_start()\n",
     "\n",
@@ -302,9 +472,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "pwk.plot_history(history,  plot={\"Loss\":['loss','r_loss', 'kl_loss']}, save_as='history')"
    ]
@@ -318,9 +501,76 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Original images :**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x169.2 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Encoded/decoded images**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x846 with 25 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Original images :**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x169.2 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "imgs=[]\n",
     "labels=[]\n",
@@ -350,9 +600,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Generated images from latent space**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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u/8re9HP+n4/RBJNZVehEdalMkBIFmpSo3hREReTgB39hZ2dnZzGfz+Py8nLQ6eXl5aBPTWrwO4jOlMA219Hlxpkfl5W0GA79jjtX0W1G07EC4WDxwmcMlhj8MDXnnCobJdN3QLCXl5dDW5gBYgcbsfzgVXf/u5QM8EAqerYFZtXBavBU/Tl9Asjy6+7ubiGzYV0yYObs0j3kkzPLq6sry1xwhslGh/sfAzb2qedKKuqd33PfOltkEKQFlJyQqE2yo1Ug7JgfZWkY9ChjgBczemCEcByPFZ3ycva6a1ll3LTYHrZJTTg4yVC9wG4Z+Nze3sbd3Z2dAnOgFtdVn8v+loMlQA/r4fX1NU5PT5cCrSYlDujsQ5cKSLP/W+9dcseglIEM+0kGNI4w4N9oUuJeLfDDeoEuAWTht5WxVwGzwywSSwZidZxXsjHws8p0l2ukC2Iu0wRKhbLYIO/u7uLbt2/x7du3wUA1O2FjyoKkTpMw8EHQhELx4jlNsECVg82Czy4N1BlcBXyyczgDrYIlZxucdSjTw3plw3bsD0+XVOAHQfDy8jLu7u4WzhPxK8jh+h8EQuwl857ATHVMBoB7AqXqUbNNBrIcLBEw2dGyQ1bwo3pUShy2yY4Wicl8Po+7u7uBmeV6AwbP2jeOOagA/zakShJbx/Nnzqc6v8r2xQwr+03WJYMfZWRd0GQbU8Cq4AfB8v7+fkFHYHeen59L23T66v1s0zL2Gk7vmnywXlmHnCRq4ohjXHmI6l3ZH1dDpNNbrswDfvbi4mLBz0bkm2Xiu4xEqWLnGFJhJ5scZg1xGQkjWTftwUGQM0hlewB+YJycnWTo1a0o4HloVuTl5WVcX1/H9fX1cP7Ly8sFJ4tXVqDLtJ720y7YoYr5qQw2cyJqmI5SZ2Nj3bCxKrjV4wB+HDXP11dWgI0TIPbq6iq+ffsWDw8PC8bNLB5+DwZP57PHAo5tSeUU+BjOoN3UJfdlNYXFwc/pUKl4tk/naLMahYjFFUCuho5r8GCf/AL7w/YJVohBNPoI09QsyiwcGgDOwJmru0FA4wQDelH9aFKi4Of29naJYdCp7F7wg8QEtnl7e7tk509PT0s1lmqbEcv+tZqB2IWMYRGzuKj+Dp9DL9++fYuvX78Oib+zSwa1yqo78OMY2Yz5yWImJ5kMZjVWKGOIpAbg1pWNsN/T5L2Sva720swyYrGozqFYABoAHGeIGfhxbEHEIk3KiFODHE93XV1dxYcPHxYcBTJMLdLT+XCcm5VZKWoXgVOv3wqg+tvMwWrwU31BR9ClZisZSHIFszqWXMBkOhbsHRwst//x8XGhwFKnSXAN1B+4abBDC44q2bQAHGoGfphZZXtkPbGOdJoEuq4oeb4+2sr2qQAITpbtE7UFV1dXS9Ng+MvMEwITArL2y66nS1rOvNUmDSwaMFmXX758aerSMbGZLl0tn057uXo8tU1mC9Q2z8/PF2xT7xEBs5qi5s/3NbVZBWrHoOv0/NPT0+Anv379Gr/88kt8/fp1Ccyyf3WlIhkbW017KVmgNspTXo7Fi1he3Y3rsm6VEcp0yslcS5973+eHX/gMHcBghx3n169fhxcDIDbaXuZHFaEdxg4WGSNYHzX4+/v7gWrXGgi82Lmqglx79iHcFy2auKLV2TBZZ9AH9IfPmcljQ1XjVV1y3Q/PJbt5aLzgYKFHpnFBrWMaE9OXOnbQD2512D6AT2+Abs2XK+DhAAowe3t7G1++fBl0yAkHbFEZWw2srk4oAz9oN+5Pa/GUlVVnz4Dn/v5+qNNjZ4txwc5Wx/qhASAnOlXC/cmfA/x8/fo1Pn/+HJ8/f15IHrVuUsFPpUsHfDjwOUbW2ebj4+PQ72ybGIeZbaK/ImLBNrl/tJ+3JatORbfYEQdkv379Gl++fIlffvllQX/8YibP1VOqb83qthTs6AsMO095RSzW8CH5VyCEmkvESfwOumz1aU+fb+3xFhWiVrDjfs8FWQxmvnz5svBC0FR2QIEPMz9qiEr/633wPPTFxcWAYFUqajAiBiSsdQb7EudYVxlUDvhAACLYMKEv/I8Xsz8cuBT4uNV77NghPC3FUxVwsOfn53F/fx+vr69LWxeg4E6DhwZcrun6LYgDsjoNxo6TGSAGsd++fVsKmJqJZqtRHPhxY1N1AdbHLbmGL1HanSl6TFFX+twVAMpAzxgA5NhYx7DDNll/ALUMaMfqsmLxXImB2ubDw0NExML+MOfn5wur8RTYcdDFtBg+R79wH/PfbUtP0IYo8FH2h/uTSwvYJlWXbJcO/GT1PuoH0R43W8L3CT2gpICZIF2I8PDwsLRPHq6LMeESIRe3em1kY0vdVxlAyvooneVqRsAEMBBiQ+SA6ajbbA+Lql0AP6DGsRQTQAjX4/oDZCNZvc+hiDrWHlGA6Bg8/h4B001/wEg/f/68wOI5OjYzUAemOTCykTAd/vT0FLPZbKG+gK9xenoaT09PCyyDFuQeok7HitNhBmhdFqqOVLNMFzDd1KUDPm48qcAeOXjCoSIAYmwDKDkHz/fmEiMn22YMMgCUXbvSIQIJHwtgyPWVzkahS1dmUNWJ4KX39fLyslQvh3aenJwMwRKsQVYfxraZ1cS4vtKYs03RuKbv0R4N2s7udIwqKHLxUnXJTJ3WVzqCgO2dAYi7N7YXXrEFEFT5bj0X37crU2m1oeWbN8b8ZE4iM9BMsoGhQEgRq1KvStu5epTMOBx78fT0NBilzitnLwjTfNnO0VWfbDvA9iJlJ9l9K9hgI2XnpYXQzPBosburDekFIGgD/4bP52jdTJ9K747tr0OR7P5aQMgdx/bplsDrKrBsL5EMREPcWG3pLQscOJ+bGsX98b3uiiFgaSUn2XROyy+5/5UpY/tUXbI9ZnbkgE/E4sajuD8eX1WdSct+FGBkNrqOzxsrbkqI29qS1jiukhQHiHQxgqvxcbaENqsv5LpV/r7yodwvWv+VTYdu2v52vtQ96xh8prQeo9ps1ZAq0CFXKIYHHjs0dXqtrJMV4lYV8Wf6TJPWQ912Jes6AKdLzgyU/nbZyZgAyUbuDELfK8h0wdy9MsCDv0r37iMoVrJqoM6AqgOLbiWIAh89XgFrZZsaICrbdGClukcWXEunYbg/It6W5e4bAGWiwEe/U/DqAD/72UynTv/qw9FmZlwh6ifxGw6cGfDWxNX1E67REzD3pUu9tosr/J32gepMbcsxQQpSNVZmTGvWHnzHfd2aLtZ77ekr52N5vKwjW1/qXt2sG9jPz8+W1dHVQbzKSpfxucDpBhj2h3ADMnM4PKgi3oyZgY1uxOY2aGtlI1lQ35aMuUaG7jlY4r2uFlHgmn2vWWVVaKcGib8Vm4fPsgCQ1Z7wuauxnX2/TV26sdP7O048FJzy9JarB3GrhJRKb9mjAlq9hx7bdKyBA1oa2HlcueJ4HUe7sMcqIPL32RhT+1TbhC51GbSrs1P/quUD3MeaHCjAdXU+7l7ceMTUHMYlF7+iJqTFNuxDVBdOHKOC3ygwhW2ib7AAwW1RoFNb2eyIglhuQ8Qb+M/qbpyd8D0zqeFAGaaodUZkm7a2lYLnrMHK8LBRckfw8ksuxNPiWF3GnrEHWqTFisxAhiqBf8OIeTZ72zDPPafEOVNcq+VYx2S0q4herwVUq4CEfmHg+fDwsLDvBNd8MJDVOX0HfKBDzdQdU6N96zJfvi9Hs8MgeUO9KhvVfsmcyDbl5eVlZYaC70vZVegExZRfvnyJz58/x88//xyfP38e7JRXf3FhZWuVJeuKE5KKzXC2Cl1myQ8HENSvoLAW4wvndtNg+5IxdgrpsU1dNasgtlqdp2UFLilRRsDZJNsSPteAyfqC/9AtQo6Pjy2bkQGOVROFVQR2mYGL7C+3FX0BO9RVxi1dKsh14F/HP7cVsdLFpyres39Vth+6BIjFOD0/P4/n5+c4Ozsbru38NkuWHFSykwebKrLXuV11trxy5JdffolffvklPn/+PPxVAKTAxxVWsXNDOxVcuA5lBb++vi5lxBFvBZfuwaZKo2cGqW3ZNfPTcx1lyRTMIguBgQHEOqZAjTQDQM6ZKfPC2Qjaxv2ZOUI1TKb74WTgCFDvlbELvX27zUyUAf4qv9UMW1fz6LJo2KM6Xn7kgdLsWZ1WxbS6tvLvIOpLtKCaxygALVafMABi8OM2VevJ5Lclla/i92qb0CkzPACxbgWt2qfaZqZPl9w5hofBjk5nMSDidiNhwgouPidWFrm29fTnNsUxUb02qiBQ6111iXumQ134w9OblU2iDRX4diwPPnM1R8wsfv36NSJiQdfz+Xz43Ww2W9h6ouqnsX5vow82jfAITBXPFJgq1C2BdkbK2SWDHi3kcvOZaojOiTkHq4OQwY8WM+tgccDHKWsfoCe7ngIFl41XGRovodW9YDLg0wI/3BYFOaxT1hmCn95nNs0F/SJAagDV34xxoPtmEVQ02DCA0L15sLePgp9Mn0qra/1XNk3B7amCl7Ib+IztXx08j9Pj4+MF/6HsIsBPBXK2FTydMx/Thsw2efUPg1ZNUBwz6wqc2S6ytjD4cX5WA6/amAZNTI/w6+TkxNZ9ZqzBLpkfvTb6oyfZdDpkH8tJSTYdrcBH7ZLjcaZHF8OUCWIQC8lqx9BusD6cVLIt48HDbqo869teWQv8jEGvDtmrU3T1IG5PiarGxxVjasdlDlfbnHWwZjrVbqXZXKiTLPvdlozRH/9VZ8ZZGg9wrSXQeWiXoTuDzHSUtVNZoYo94PZXQZh/g/c97dqlc11nqquai9elzRoY+cV6RmB09VOZDWrft9qv/6sjd0kPO9rMR7hp6V1KKxFxf/l7BZBu2sHZplsRxLaZgVdtu7MVdy8VOGFfq+DZtUVfY33ptnwvJ8OtcVUlAcpMuxV4me6yAnfnx3r8bDYeM5t0iSP7GSYPsK1MVSO4CVkL/DBAaClT53cz1OkyRZ2SaCmTpeXA3PHu95wJZsvy3GfZMtr3IjqgM+Cj1LXqu3plQEKpc56H5uzJOZQWkHR6rV6ulqHlyPbB3PWMsQxoOPusmJtW4NGEp5VwuPvp1aHqU3Xber9vsLOqMMhnFtTpo6UrPl/W79rPuK6yGbPZbOE7PQeE6/bcdVRfmW2q/g5Jjzoee9rZss/Mx47RX68fy37Hn+O9u64Dfr3tyHzFJvS7Us1P1bHZ8T2BMEO9TsH6vesct8wZ3zG1Vt2LOlEgVF7d5cBQtuzdTYu1+vUQBI6NHVwVzMYMZHynv+N+dw4aesT3unqPz8e/ccExA7UVmNWarvcoFTDJ9Mt9yaL/u4ywBWbwl8dO5lDdOGnpUKeo2X7fS4KiQcYBlx6g6QBiBSD5hXNi5aprgwvy+hfHMcOqNgl9uVcr0Ryjy23pXftSr8e+Ff/jb5UkuBiV6VT7JxMG0SqaePK1cZ84h37vYmBmm273723oZuvP9moZZCtjbGUwLuhyR+MzptDdIFOKnY2XFdgyRmeYLoAegoOt2tCTmWfnVGNTsOTe6znYyUKPrew0yyCRXWbtg17ZIMfq8hD0ua44nVdjoHd89GSVEDhQN05UXMBWHbJeK/26ej1NmBRYb1NaAWiVczlwU4GeCgTp+dUmK3/LbXIgjn1tpa/KPltBfpeifbmJc2V+1r0ceIU4f9nD3qg/1XOhHja7fqbbVqxUX7JOf64Efla9oDq0jMnJplD0PZ8T7WKFc1aB//EbpmyhSJe1ZIGSGSDdxJD3+8kMc0wfHgIjpBkb3uv0QQ8zosxBZrAAPXys6t4xiPwd69nps8o+Mt3x/4cEfDiDrII1f+devdfC3wrEVi9mEPDS8VXVbrhA3cP8ZE63lZhkNrBvyXRcgZrssyp4ciLCwU2nW9i/8nFOxw5sZ8zAmASTbbOygUMUHmfqX52frew386t8bMv+WW9YgcXxNAOyGAecfIx5Ze1qMWH6PpPR4IdvOrtwJm7AZQGsqifIGB8oRa/njJOvC4XCUPn3VaCEAfIDMVsgaBWmYFsOVgevfu6uzwbDA5zvLQM+jvnT63BAxGd8LW6f6lCBM47BmFBn7tiA1rTXoWaXEYuAr8VS4DsEKed0+Di+Rsa+ZjbpgA7OxeeMeKPdnb1r+zNA63TbotvHTn05h79JcSxJ1Q7XJtVnlZDw7yugyseynnBd1iOPK01O3H1C1BbH2qUDspwQ9PTrJqWVjLj2OL21ACuuVflWjZG4ltMPn4MTyMwm3f+rgBx335VN6ne9wHbrOzyrE3U3kQEgN9XVCp5sqOgEDagcJBjw4HNtq2M3FAAB7JydnS0wQhmdNxYAbUOcQ3Disgn85QHOBqZS1XfpuZ2BOsPiccFZiRowdB0RS4bXyxJkx1ZMwa6FgU/F+uj/lZNpJQ26WqoXAOm5IeyIoU/WacZYOaeaTXlV+neA3fXbtoX115Pp4n+25wzQZtcb41vx2fPz82BbDvyobXL7uJ04X8X8OHDj9HpIPjZimR3tAdZZ3MkSkyyGZoks+2r2ly42c5v45WyZ/baLDT3MTnY9bVfm33oTkrWnvXoupB1WDUqXHWYvdw3OZKtzQOns0HEeVbjeQwaAHCXrivIqBLutTNJJlQVlTj8LntkARd8642zpkkGQCwZVgNAgqeceA4IyxueQHGyEt52IfFoEf7lPxgIgnZp2koEVB9LcObLMuQcAaUDs+Z7H1L5022Ob+r0LbL16ZB1mfhY6YJvk8/H7zC4yEKDj0QFYZd17gFHmv3YJanttEtIT+COWE0pNSipfq2NcgS1/xzrntmhCou2PeGOwHNhpAaFWP7h+4/etWLp2wXMWfNwxLhCpZJmhe+l0Fp9Xs0z+TqlXvVbVFr4PVWqWcWZK3rdsCmhlQdGxA7qtQRZEMweP91XbVYf8uywQOxCUsQWHqMuI8Rlm61x8zoqZzYJmK2HJZKzTa/3eZZ7Z9z3n3pVkoM+1JwuQapvZFgZsn6vsA1OBU3dflTj9OXusbLNlo2MD5TqSgfyxYynzq9UWMNmeaWiD/m3F8THtdqB8zIt/k507+79HNrLaq2fgtJCuO2fldCtkWxlsi4XgawNAgbrNjD9zpOs68W0LZwFuUPMAzDJyNUbeHK/acEtfldPN6gRUj2zgWcZT6c4BIgdyWwB+X1IFGxccXTLhHGxLX87Zav8ruHWJC8ZZluRoEOlNVLhvMnvMQMS+pCfIZN87sKMbV7oNYiv7fHp6aiagfG1nm1kAzmy0laQoyFHgM0YORe+QDLTyBoe6WWXmb92O3O4ajhTIjlO71ONaIMp91vKtGTBaFchu/PEWq5wrQ6AVi9CqN8gUU51PHbLOhWZgCd9njra377aZfThpZZNOtD8d4OEt9N2jK7IH0OpD9hT8aP+wY9DHT6hxAsBCj5mhtoxL29Ey9F1KK7BH5Gwq20S2Hb3bkbsKmNr/VcLBou3h4/G9ywwr3VZBttdp71J6k0U3NlWP7plK2QMv3VPA+TFBEYvTHQ784Bhuh/pYBrA9uuL7bSUkeux7EwU9Drjqkw/w/C6nS7dTN1/LJSQRy7M6PTasPrvlb92967mcbEKvGwM/rYDpAld1rAMoGQDKAqZ+xgGbHasDPq6Ns9msa2v3ipLLzr0PWTXzZf0459rzVOgs+6x0qW3IwA++j1guvHQAiI/vAag6vg5FqoJIFe2/CvTwgxQ1KFZMQQZ+OJD2gh91nMxWKvipnHQWaBVg7ZutHcMuch+2gA8CZfbQy0zXz8/Ptg8zVjbz1Zm+8cqSzMon71tXLRnDGOt4zOyR/Sw/O1EBrepRn3Po2FnXRpfAZHFd7bRKSqukhM+p/dnb75WstcMz3+CYRvVewzE/mg3qVEcFfvBZRs+7e4Q4x6rK18FdDfBDkFWnbxhEZs9kU+DjshH92wI/WYbhngHDWQt/DhBUBUIHiDLHf0gAyAWCbBqM298DgFi/GfBx9Lo68+pRNNw2tX/nc15fX5eKWls1K06HWaDdZzDtuXY2lYl+zthYffAlntrugiU/oHYs+GHb5N9r2xX8HB8fW32M7bdDsc2xftbZZEuXrMfW8xNZZ+oHsrFf2YtL7pX50Wv0AKCW7qqZix69r1zzUwX+HnEOOptiqMCMdiwDnOp4dpDarizIOiUpBZstTzxEaRllFpwiFp2be5ipe9ilm+bSgOlAbMXSKPjBveDldOaK4StjyRz1oThXSGv5aMRybYzajjIH6nizhyVmhZYakDVhceIcZHUfuE+s9Kyca9YPmT7HTFtvUsawPfhf+1oDp9plNe2l+q7Aj+sXBT+OVWD71N9mendT0j2Af98ylpF1emyx7GDXW/WVbtw75hN/s+Nc/K906QDOKv3o/q4iW3+8hYoO1qpAGMfz7/gzlkpBmRNW4OMkU5beg1uO+R5WCEWMH0BqPBw01VBdoawDoBk1mrFzzkHwd7wcNwsU2ge9r0OXnna6vqySBe7nSmeORWkdgzZrW3rtU99nQXNVprP6zaGNB9fvape9CxHclFUGLHFtiNq4s0H9jfs/Io8ZLfvMbJYT3F3q7/W1Xr2XgfHKv2ZPb3e261jUFvjhtlUJSQZkHEhyMb4FZp3tVnigR68rb3I4FrXxDVR7behSxh5QUQ2mMaiT2+i+d6sKxm7IdUhMUNZv7jiIDsTMYDMgqnrIrueCr+qOj6na7CRzkhlz17Py671IFhDGHuPOO+ZzB1yy/8dI5VSzfUUOTZ+9tulE7bMFQp2d9b5cMOy19UrHmd56X5kuK/CxTVHgs2obHCDK2Bj+DUSB3ypxfMxvKkDqVtS2tqWofMzY/lwJ/Kjiep0ib6LUGrwZkNBNBLmIjv+iM3iwcVtUidrBGEw97eM26WMtMkDnkPUqg3Fd0T5w4tqlQKAarK3B75anjnEOlS4rHWftd/uJjHWy+5Qqq1Vb2ESAyc6BtvBLj83GO09hZZLpsEpQKlt2+twHQ6DXzq7PNqKAT0E7f1edj6+nQJ+/6wU0zg4rcWNplQRzjG1uW7cu4ebYlOmw98W/yZI1vF5eXhZsE5+17BHt1cSzJT2+RTcYHQtm3f89422tHZ5dUHPHcsdl4McN+Gr3ZLy4zoOFbx7KhbggqwEzc+gVGMseaaG7PGcOFvexKwA0JiOoAEzllHr248Bx7MyVUeLPXQBnw22NRXUQLcDdAkSHAn7YsUGqfqjuveqTlh4BWqCnzElmLKw62YwhysBrazxWuwSzPt2425Uo6Oq5fgb6svd6v1ngOT7+9WGmCkbhVys2A+PRAVm19SpItvxLxrA7X7BLHxuxGH/YPl2faSxqAYbMZl2faQyGbeJaPTrC8bBp55/5t268VXrT75xdqmR6bsnWn+qeIbMM9KhDrh4ZcXJyMtR66DJKBEMHbLJ2KqgDMs6cK7ejeuKwOhoFX/sSxzb1OIbMMDN2Tp+arcc+PT0tgR9uo4JX11Y26srZVU5F218BgpaD3YegrxQAOWHAeHz8K4PaCxwqp+XAz9HR4jP0uL0Z8HHgSYNsD6CugI7q+pDA7JjpEU3seuzS2WSlT1ynArIugdL/+feaaGbtr8Zldvyh6RJ/W2xeBXyquFONcQY/EYtFyNApx8dszLkxqb5Zx6IDPi1wnh3vANY6snLB89hB1UK3PUqvlAon6wCPBicFINpGpZPZwWbOM3uIKYOeDGC5duyS/Wllb04ca5D1T2/2ohkEB3MNiGpkLpDiPGivG3dVUK8cLH9+KNKjQ5eZo48zm8umcCu9KnhhUMNOGO3me3DHOhamSkx6fYcGFLZVvta+g2h2/Yo5GONHK7tk8MPXavWNJidsy3pfWbsr39Iaj/vWmZMx/lX9lAKgbKYh07tjVNkW4QsyMKN2Cd/n7qnlYzOdOpCX2aW2b6xsZYfnDDW63/cAITUIZ9isNOc8NSvJ2pmBEjcYM9DTephpi2nZFfCpHCof4/otc7CZk+rRq4LXqo09g16DKv82a3NPwFRDPEQnq1IBameDLb1W4EeBPoNTzjJ7+00DpgM/vUG9lR0fHx8fhD7HjK1W8FnlxbagrHrGDqif6LFll5SOAUDV2MvG2K7Z9lV8RZasZYlJBX5cXIWwjhx7h7/uOz2fA+G94LvX51b9lbU1k7WXujsU74JORf05pTglZd/xMdVLJQMe1fGVMh2VrPfAzl/7Te9z2zLWsVaDKjPU1oDNnJTLUMayZDoeneG2gvgqznVfkjnYMY5XAW4rSI7th0wn/L37jL/j/1u6ygI6t12/x3dZlr4rna8CgHoBbs+L+9D5LVy3ss8qkarGKa7rEifV66Zsclu+t2qj+n6XtGc60TGrSRmkBQRcrNTfZPE0uxf83wuwHfvTui+VzE9ksvJqr8x5cSMcdR2xWPzmvucs0e39Ur2qpZuQHoNt3V9mhE5RaBdnwFXmtCvJAKR7746r+tHpvvqNOy7TY69za/WnM1r3Xg38kAAPi46/qq2unytb5GN7ddv7arUvuxfVSRUEewN95cx3Kau0obIZ1+ctHfRcj8cEf56BJNxTFTB79Km/2YRsS9+cBLp76bUjPjZrd2WXPC6y7/U6HO+zNmWguMf+1O5cX2X9VkkL8EWsyfxoB+CGM+PSjtbndeln1V4UbNiZoStoytqeOXw+tnU/2SurdzgUUcNxg4YHMt+7bqKVPdk7e/5aZthVX3J7FGRze/kv32sr03L90jr2UKQFfDIbUJvMNlNzjyPRh1a2bLTHHhzA0narv8nGVER7Ktv1RSXq2LchY0EPv3e2pzpy+urxZy0bRtudPa5yj9UYyMbSodlnljxlyaezmSpeZjGzikHZNfC5a6OzS9b1GH+TjTuO2RmBUSXtma07WXvaK8uaK2Gl6S6V/ORZ95yeVlDNWBdVKn+fGY8OAL6+e2gfAgafdzZbfohm1Zf7NFwHYPE5i/YD9OWeC6XPeNLzVOAjy47wNzM21aUDBKpHHmN8juqYnr7cpRwdHQ3Xbjki/tzpEyBHnwKO5wjhcwZCzlYzB8zXdu3h7zDl4nQKmc1mS4/VwOf4DbeNx8Pr6+vC+AXIVnDE19q2blcBDBpE9NEj1e7NrWei6fkzu9V2VoCk0iffgwvm2QNTe9q3D9t0/io7roozzse6uJkBh+x6fF1uL//NxgT8TqZjjdvuHrhk5OTkxO5cfXp6Opw3Y4F64ixkrYLnMRQU/xad0Xp2UA/7gxeuo/SZOl8+Tu8L59Fz4Xttt3thaov/Pj8/x8nJiT0vX5+d8a4kM8pMt5lxsoN1BlkFOb1uNpfPv2HDbJ3XjQkdf1nw1ntiMNfS5a6lJ/Oq9Ir7xTPaAHDwFHC8+GGK9/f3S9vqs71VLA7rlNvhHCzbJoSnkXE+DYY8dnB/6Ac424gY7tuBn962b1KqoK06dEyLgtkK8GSPsdBzur9u/Gd+rDoffsft14fkOoDOK9IysN3Tt9sUgHe+x5Yo0FNfxTFTmVhHDEAq+3fvW/eF4zNGy+mMnwN5enpqa/C4jvbs7CzOz8+X/G7WVgVymWxlqXvW2QpGsmDpMhQd/Nm23hzk1PGxU0OAdW3WYzRoZkHx6elpYHqOj3/dGOzo6ChOT0/TYLlrQ2Rx98yDqsWsKABtOVN3XdWdAtis2I3ZAA1SDpxoAbY6FX36tOr56OhoCSS1dLdPJs8FF/yvNonPHfPDIMixPw8PD0uMi+ohs9NsHLj3WUBmGwb4Yf2rznEOdrCwWb4PnE8Zp11JT8DCd6pTZ5/OHt13FbvZ6gcNfpqwuPPhWqwnF/R1yu7x8XGwaez3liXF+0pGIM/Pz0NbefyrqJ9zgE99lr4cc6fnz4BDpavsOAd88B7364A4T6W77VCwlD97Gr22R//v8c8rMT8VinUBld+7QOWoclV4VVfQQvmKAvl/NVQNlq4Qsgr8cKbsiJ1DqZDrrqRyCupUq76tjKYn03C/0Zf7bct4FQCpDjPan//n8eAYjuo+dq1bByj0vQM+LGx7zlm5jFMBjp7PjREHfDhY6XGur905+T4Z4HBwxedYIqwscTXWdxVE1fYcyGm1ZVXbzOyu53rcTgXBWfu0rRGxZIcuLjDwqabwkIjuSxxYwOcaf1q/VVvTPs50no0b51vVf1bt4c8c0YHvqyQ5i/FuGtv1T9VnlWz1qe4uE9Dv8J7BBoQHu1O4gqVexIdz6+DIlsyusqTXXcsNnH2yA2gb2qHScrQZU+OW/meOtLc/NbtoBUK9P/d/BmL1f2UGlCUaG5S2JQ7sZGNLwX4r0PU4wdYxGaDptd8K3OF7HovVviHZHl2r2vimpWpDy19oFu58m9twrrWdQdY2FzDVtniMuIQqA8NZwluBnRaDtW9p+VzX187PumXjGdmg/6vPcvap7cX7Mf26av/3xNvWubcCfrIMqAdtqfKyzZrUQHjAZGCkQr1ZwORz6HL1bPlr9nKDkq+lAM4F810aa6bHlrggow92PTs7i8fHx2EXUreHg26khqms7Fq4nqM/M/BTgcts7LCT1WI+d0yWfexbMnDA/+t3zqlWu5frmIZ+cC5tCwdH912mQ9VV1WZ3D7gP3RVXH0bMdUDO9+xaVgXVWTLi7hv2ytMmzGQfHx8v9AX060AQ/9XpJ3c/DvTwOfhzB5DVbiu2fV+y6ripbFJ9bs8u7Kw393Ki9pr1qTtXdl6XLOu9uf97+7FX52tNe+n7lmSZWesREeyE2Yk9Pj7G8/PbM4PgfBnUqPJbiqs6uYW8s91HuY9glC4QHYKhsmTslMusFfhgugR1I2dnZ8P3T09PwzHsrCLentGWAUkFshosHeh1gMoZXgvUVmD7UKTXDhVA8Nh3zhV6xevh4WFY2chjGvbozo9jYIcuE83GWnaPLQDkgA+KLDP/o9fbh1SOHn3kkhfXH85Goc/z83NbU9HD7EXEAiDB7/hv7705m+uxR3dc6/q7lh6w4YB2FSvV1yLZfHh4GHysgkVnN7gm+pRjKB+L49bpX6dDXuFVxdDKB2i/9crK016tDI4dWpbJKbKrjBT1BjBWGCyugQ5iMKTX5GJGboczuKzNvc7W7SZ76JINbjUE7nMNHqq3s7OzuLi4WNKZo08z8JllkpoNgqnB8c4xsq6qB9E6wJ09BPNQdNvDcLWEg4oDCNAtVl8AzHBRJ66HhMNl5Pw7tFHr8FzbM3CbAVo3RjMWS1ed8PVcH24zwFYJWM9v8XIAj23z/Pzcrsh0wRI61v5h31olJawjPYbbWvnSDLRmU3eHYJsZ4FFxMafF+LAuER9ZnwxM+ZwuAcH3WVKnrHdli9U9OWDn7FbHWmaD7no9trnWtJfLPLJGanaXAQ8OTHCyYHi03gJKPTp6K0Z1HcfXyKadtMMyI66CaeWEqwFxSOIclkoWcFyAYQCk2aUaEPSousM1dYrF0eo8debGlQPa+lRkdx/ZgwQPxcFuQrjfVL8KdpFdRiyuZlE74KJTBkJIVHBsNVWROWPX3p7kpPIRWb8css1C1F6yoMnj+fz83K7W00RRbZP7Dp+7IlztV/w2YtG3VjaZ2aKbwlQG7xBsMwvgWduy2QntIwVCAECIkTiXxi9OGDXhZD26trj6SByXJSqt2ZYKOClz5RjPLE61ZKsFz5VUCBEKYWpWV58wumVDZwNVgbPNUC3+Vhm0BtSWw3XU3SEYpEo2gMYAoMzZ8jSYc7COWndA1IEfnWbh9xqIOYusnKZzvhnwgU5d/xxCwOxxtpCe9ioI4oTGHQt9MfPjHB5sk5k7tCmrHamSqAoAOXDN96/j8RD0GNHvN1Tns9lsCfSrfXLQxIZyOiXtgjj3kwM/+pneA+zHsXAtAFTZ7SExP3rfVZt6gIJjxtyMCdduMdPD23moDXDC4toCW9YtTKokogI4WZ+4IndX66ltG6PvtWp+VCpH4ShVfXGHQ8nZlAp/zkgWxXnO4alzU2TqBqk6+6ouqeV4q+xyHzKmLcqUORYvA3+amagOuR812PF5cG1Hr6thuAxYgRm3wbVHGSGnb9ePq2Yi64oCyFWyzMw2WaqsTceDa5ezez1Wj+Pfw5YynTidZTbr2lT1165kbIDMzqHJmmNqub8qwIjfOX+L6ymz7hghvgcGZ2OBTlUfcmj+dhM+oZVwKiBy+tPSgNfX1wW/65JIvQ/8xXk43mqfV2Mqi598rWrcoE9XTU7WrvmB9DTCAZ0MADln1IMgM4CTtYO/16ABo9T5Vf7LRtir3EMxSJZNGCb+tsCfHlsNeB30Tip9qsNwc+YtPeqLr1v1xaFIBoKcrWzi5QotK1vkv1n7HZBytSyszyxZqmp8qn5z4HJVx7uKVP2H91k/O5us7E+nIbOsu0qEIQiSWhSt7arqeZzeKh1WffFepZVoqo302CofB+npM7QBx+q4gmTTrdmUpUsue9rCf/V9Jis/3oJvsgJBjM7UqHhTOf0828ky24wu2zSJz+8cNLebsyS815URFxcXMZ/P4/z8fAkAqUE6wHPIgZH/rzIVZzQZ6MB3Tr/Vyz1uoteYtR0Z66MgtgWAKpDm2J9DkN7xNgbI9NieTnHy9Fe2aanToYId9j/M2LkVabBZvHdgCPrObJR9l/ZrZSPbFr12a7w5JhSfqT6zZ4E5X60LDhgkZX3m2lPVJVVLuZ2vOTTgozEwom8KWn0q/la6ZPvMfK4rPdCYXCUrapMOjEEwrepe5+fnC/bJNqq+uEV6OPDbko0/2LSV3VUAiI2Pt9fHi3eV5eeA4X821OrxGDqnqcERnQ3jg5Lm83nM5/O4urqKy8vLAQTx0lkXMA+Z8YnIkXMWiPC+yiT0L+s1e5ite8wJj4sqa+G2oe9R9KhTb/y6uLiIi4uLwQjV6ByQxXV5au4QRANir206wKOBrQKwzuYU/PDv9bfOJrndbEMQV+PA+oSt4v3FxcXCSjV1tJzAaDDdh/SAGw6q+H9s8GfdMNhRu8x23tX3LsCrbfK9IYDqCrSxgZGlAtP7kCpBWicmuPOxjqpHYEQsP9zZgSO+jo4zl1gy+EEMBWnAdqkv9sFso5ycqq7XjacrgZ9VLuocoGN1dH8YPFMIzxe6u7tbAkMMhDLmIGMQoEB2pBw8neKur6/j6upqgQFS5/legM8qkrED+p6zEAd8WH/6UFseD84g1Tj55Wo8oEt9XV5eDkBWDdDVQxxyhsninETF5Cm4yZKFHgbPFbdn4IeBrU6LcGapwAQBUwHtfD4fdMqv+Xy+kMywrp2TRTsyZhTvt6n7XvCCv248aiISsZwlO50oCGIdKQukemRhhkynbfCe2QG2TQ2MmqQ40Dq2/3YhmW5azDq/r86hPqmVnLCdOVt0SYi2K2LxMTGOkcPMCXTJ9nh1dbVAIkC3atOsb6dj7setT3uNDeLoMOdMM+VwcATQYeCDByoqG5RNd6kT1vsB0EGHo6NVcfh7dXUV19fXcXl5OWSU+E3F+LxXAOSYnIwpyHTcYn4qxscZZGYEDGTPzs4Gg+Sgx2wPG2IGgKqVJO8J2Do2oRf4tMBQ5UR7wY9j8DhBqVhZOEoHfhBEoU92qpph6hRYFUAPKbjqe00U9PjsuCxwKvjJXpmNMoBVloCTTE1MlB3AMZyYVLZ5COIS7t7fud+787rPMoCqyap+l+mR269Tb1lNFtslXgqCtIxES03YNjP2R222JzHZylJ3vXCPA9Rsv8UQOKYAqNYxPmgHtzHiDb1yZ6OjQaNDSTBGBT/M/GiG894CpEoP8KmCZ8YWZJSsTlPy75kRcCDWUejQC3SpzvTy8nJg8jQL4boDNsyKct+ntJiK7DfOPvXzVtaajYFsnKjDdawPv1cApNOY0JnS6cr8YCxozQFPqSjzw+04VKkADX+W2Q3e87GqqwooZ4wB+1n85aSCk8wqMWE9np+fL9XvuRWbh2SfPQCoAqzZcSpuisrpKvuO7RTnc2Pp+Pht9S1PfSnb7qaiFQDpDAp+x8kNdNsCPtzmlu53ss9PFSgd6myxCBkzkAVcN1B0ioRrBjhDZKYHKJXBEIMlxwg4mve9SgaA3IsDnztPlnVUgZcNUo1c9YngxgBGdQfwc3Nz0wQ/DIC0HuiQdMpG39OuDOA4sMNjOSvo1/MqAKpstHL4em1NWLK6Ag6ocMyaVbqFC3wf2pe70HcV3FoZbXYOBTpsM265cY+dO5vXtvJfts8sMWE9KvBBoGTWSJOTQwNAPfpSsoDf9+pRbRTf83kcG1vpUUGEJgSqb+gEL2byqpofjqNuOhvlKC65y+JBS7YOfsYGTM3w+TwuG6kCpn6nQYGzSQVBJycngxEqRYf/eZ6S5ySzQHFoTFBPGyoWr+fF59FBWrFFTt/4jvXHx/F0I2ciPKUJA2Rn6up+kF3q77km7JB0uYo422SpHGw2pjXJqZKeKkFxto/3bLdZIbtjd3iqJFtqq8CnAj1jgMimpHW9CjTxewdiHfDJWLwsgVXfrWMDnzn96WrarCiWwQ8Hywz87FsYMGSgYhXRPs4SkjGx19mj+jjnm09OTpb065jzbCUmJ5a6kCGb8nJtUxBUyc6YH37vGuaCpVuBpcdW52IF8XmdI9f5Y10NlBmiZow9GfJ7DZYsmR4hrh/c/g0O9DrDrGoKHFh211ZHy2yBq/NxS28V5GZ9o85iF9JyqGPGndqGLkXOgia3JQM+laPVc+j50DaXtLgXO2A+nu/pkFZ5bVKqRMzZpAtwLoms9JolPKjfyvSoDKsuTHAsgPPbzk75nnBd/n8XomN5DJCuQE6VXLds0unWTXtl95NNk6ltsg2ynvU9dNayTe0X138Hwfw4UeaFB7J2mtugTIuKYViYh2RlsMFlg0izRxibAh9mC3TlgWuTOhi+d5V9BcyxQMy1S0GGFja6omEd1Pr+5eXtGV0uA1UDz8YUt8Pt2eRWd+nydreFAV+zpav3AHYd2HEBCXV2p6enC4sMsqxTM/4e0X53PsGtDtJAWe0P00pKHJDmz8fe01jJ/AFf313bMS4VUKj6Rc/prlN9XzESFfDRV+8+XOp/NMlybdyFn2XmZ6w4HaotgHmp+icDRRlgyo6BtHx9xca65ERjuyMTtF+4bXg/po93Dn6cQaDTnp+fl6q9taNc5qY37IKjXl+Nj6dE4EC1QEvnpF2tgLs3NURuJ//Vdm7bMFdx3GiXyyo1aKo+ncNVA0KboFc2ADc9w21w4FlZgcq58vVbzGJvv247SDphZ1uBbUgWJLkODqCT6+4eHh7i5OSknMpi1hVTk/jL2aa2gwGrUuanp6cpG6uAVgvUW2xVr562bZ8ZM9BzzVawhH6gwwxM6OfKuOuxEW8PFnYJpgNeLRutmHXcK/+/6amlbUvm+/G3BXpwjsfHx7i/v18CQOpndWUl9xvHKdhkBpzYPplFx3Slq+PSBQYVYHOxW/tnXdkJ+GkFSjbK5+fnJYSYMT6OKeDvIuqCMQRMdvK8IRoXS/J3DHwci6EAyAGf9yKtqS0HYmGYAD/ZIHdZB86pwIfbw4AiC9oKupxzdeOLgwwHa/6slRW1+m0X4gBQFQwc6IBje3p6Gu4fKzHhaNU5u4CJv85e2VZ1PDmGR2u3tGhSwU825lx/uT46pODpgLlm6mw/mgzALqHLx8fHBdCfvfj8eO98HLdHv3PgR+3U2aUDPtoH2VSOslcuST40caDOASDEy4hfgQoDigy8KohlH6fgx9kkt4vLQzjp0PdZUuLYniopaSVyq9jp1sEPDzoXLBkAAfxkAZMHvtaI4PzOWHFMNqBOTk6WlHVycrIEfhj48LI8BTkOhGlbtI8OWRzbgnttZSbaR5CsyBnnzzI6x1jg2q7YVZdMqi6rfST4muxUNRBket6H9DiCFuvjABBs8/7+3k4RakLCdsi2p9dVZ88ZK8YR6y0DP24jPC2WVKDl+oMls10XSA9FMv/GdomxrAs1IvLiWC0j0OupPnksAfxkYMdNXVaBUuOA1h8xuEYb+S9+e2jSA3wU0IKNrcBiBvirxJP1qD6O9el8KrM8+r+bynRlI5UP603oWjo+COYnU6w6Vx7gPUV2zrny9Z0CkUEC/Lj9JyrWgK+F9yxafM2ya1C0CmJ2gd/pzzEB6rR0f58MJLuMAMfw9IxucsfBkvdnwotXlbgCdu0bl3keCujpFecQ2OlowERtT1ZIzHrucbKaefIxOpY0OFbgB1R7Vl9wcnKycC33V9+P6cNNS5U0ZeCLg5ObloJeYXuZ/mCfug0FrpG99LoZkFZGgPfzwdJ2BUWccGJKPNPDIQKbiL6x1epfBZVZ4unikmuL01/EIlmgiT2uxfaZgZ+saD2rs6zAGov6jlVYvZ3V/DgDcUFSFelqMRzwwbkjfp2PfHl5Gf7iGA6WzPbotBbAT1VImRXIVkrQAP/eAickc7Ju2kM/VxCr2xUovf3y8hInJyfx9PQUx8fHQxt4upKDo26bDp1dXl7Ghw8fhtfNzc0QTAGYmF2Ag3X3FdFe7bZPcY6hB5RUWabaJfr18fFx0J/TPdqTOXS1X64FAcjR3X+Zamdn6+oE2VaZPneBRcGtgo1926v2F3+uovrUaRCdQuEM3PUBrsN9BP/qFiFwAotr8DYTV1dXg+6urq7i5uZmYS81tlue1sQy9wqQZUFUfe+u7NclUfq/S3zVNt298TFsl65eStl31RmE2R++Nicozvc6kiBj81wipYDM6dH100FNe2VZCWd9zqHytJebA+aOwv+z2WyJkn1+fl44PwrD2BChmJubm4XX9fX1sMfL+fn5YIycXfL1M+ZH+4On6t4z8IlYdB6qS/QxprxcIFI9Pj09DedDX0bEMBZwzoeHh0GX7FBhfLohpTI/Hz58iE+fPsXHjx8HPSMb5X2czs7OFoxK788xF+9NnBNxQRG2Att8eHiI+Xw+rPSKeCt+1OwUdQk6feIeWYLfcdKjIAe6UaDLm6Sdnp4uBEoOAu56LrC4qa192atrRzXu2Afx/SGBUD+bBa+Li4t4eHhYmkbiIMS78aMuzIFY+FKwr7BRZn7ge/mRQdClbkAaEQtbX2RAvQqaPX25SdHY0EpG9H/nh6BLnsGYz+dxf39vn3wwm80G3wzhmKm7rWfAC6ws61Q3FGWGFjp2K6V5apr7QYG7i6muD8f45a0/3qLKSqA8dDYHPijEPbF9NpsNge/x8XFpfppXo+ChfFAag6qLi4u4ubmJH374IX766af44Ycf4vr6esj8T09Ph8cfwDChKAw2nSbRQk4NlPr3vYnLEpwuNfPnh9WyTs7OzuLu7m4IpPy7l5eXpcebsBFr5gFdYcdmBqsXFxdxfX09sD5XV1eD7lyxO9odEQtOXIHfITACkN5grWOQgQ/6g6ciGZTocXC29/f3wwOI8cw9Pocytuxo9frK/LipLQBWfcQMbPbm5mZhI1IkXuxrNCvmoJPZZxVMNy1Ze1r+FZ8zA4OiWA6iEYsgBrrCMefn53F7e7tgd3z/PHWtv2XWHiw6EgzYH68O4scdcD0l7JZBbkQMbcb4dEx8bx/viwGCZMCMQQAnBNrPp6enS/6W4x36Hr7X7ammNhmxnCAwIGHbZNYc/lhrugCSAHJ1lkX15YAs91XL5/aAoJUebNrLXCglxQMNGTQ+ByJFZ8A4oSgoEoAFjpZpd1YiPxuMAyYGA5R3fX0dP/zwQ/z4448D+MFggtGygqEophgZnfLUm0OsY/pv29LbBj5OMxcYAwMBBiZwSnw8T0N9+/Yt7u/vF7ITjBPVJTs7ZvDYwABwYGC82kvrgZhVYrqYAwPfIxuo65NDkiozwl+d2uExz0Hl4uIinp6e4v7+fiFz//r16xAcsQJMn8HHTlWZHw6YCn7gYF0NF/SuU174LVghsAvQM9+vm45V2adeW9dufQ+whz7FZ1iIoLbJgOf6+jo+fvwY3759Gx4izWwAB0wAHwaVCn6gS66540cDad0Ir9LjMYDjcS86NZ3V6m2qz1eV3vO6aUbYJL5nUAMbenx8XEjcEOOurq7iw4cPQ6xkMkAJA05OnN9jZlcTE+jGlYXwghMkqMziAegq+FHmB/fPf7NY2kswrAx++EKV48joYwQYdCYU8PT0NHQIrnVycjIEtk+fPg3ZJZyte7owB0xQtxwsYXA45w8//BCfPn1aAD+saChXqWStS+KXZpP6eg/iwBu/hzHif9bl8/PzUlaO6ae7u7vhxayOLll1RZfsXPkFYIzX5eXlYFhO/2zYrEdniFWGfSgyNitSu2Q9AqTO5/Oh75+enuLu7i6+ffsWX79+XQCu/OLEg1kFZn0U/HCWB31xoTozeTp9rav12NkiYEKnbI/M+GhfHJJex4omJhFvNXK4TwZAnFh+/PhxyTY1YOrqKp7OV/DDTAEXNiMxcdOsbIf4rU6PANzhfnUK89Ck8h8Z88NjloGHPpkddvn169eFKWFORhALoUsFOqxXBT8c3zgm8jQWs3XM+PFL/S8XsKveOH5m9rkO8IlYEfys+xtWKnd0RAxLMPE/nCAoO37SO3+WPRWe2QIGPUwHfvz4MT59+hSfPn0apkPQPg2OWoSV1Q042jVjDt6DVCCIdcV9A6odAxxTEhooYaDuqe4KiACwoBPOEJDtAPzgSd7cZq5H0DoVZ1T6d13Zx3RnL0urYFBXUmKp++3t7QIrgMDI4IbtDw6XH16s02rKwmTgRxMTLthVal6ntjLdOofpkrxDFw0SmZ9t2Sb0p6UD2UpbZfB1+gnnZxYPdZXqSxUAq39Vvag+D431wblbia+bpmHfdHx8PMRGZT5gl1xkfHV1NST+bHPOx3Ib2OY17rHd8ao9nq1R+3O61Ckt1S/uradP+dixpSUbBT89NQdMc0N4vhK/ZcWgWI93l2UQxEV3/J7BD89/MvKcz+dxc3MTHz9+jA8fPgwOVoM7v1x/sNN2wOeQakMgGWrOvq/OwwAIon1xfHwc8/l8IXNUpoABrBbLqoNkloan00CtX1xcLEx3cABwBqf3NLZ/qvG/67qCMWNN75XZWAWz7GBRq6UOlB2tMrDK0CpjwHYENgIFrzzt3EpMuA8qfbvpv6yPeuoINiXr2CKLY58jFusr8T+mKSNiAcRy0NRpTAVbOnXJrKsWxOp0Bs5R6YrvowISVb+4vt2mXl3/Z8kk25wep6Ui6CcUPeN3mClhu9SkQ5+ViL/M4nGCkU178epYJQMwHty9ZuTBmD51+sdnW2F+1g3i3LBsICi1dnR0tOQ01bFqdTv/z+CHp7CgQF1eyQpjJVUGx8d8b1LdM3SJjIWnxRAoHXvnqFn0vbI+bJRcGMsMotsWwemzd+roEPWsY7bKhNEHqLNSu84CDa/gms1mg33x7zTTZOZHpzEV1GYZJqawFCApEM5s0713Mta/vQdGKMKDefTf2dlZRMRgmxFvm5DqXlzQLfQcsZjQMrPKAVAXKMB+HYCqgM97FLWhKkFhwO5AOYMj7if4WKyGY4aIpysd+NHjOEl0QBZjRqecFdDwZ5BeANvqz00ct9Jqr94AUf02Ox86H9kCluUxI8BKZ+NiQ8USal0R4MAPjBHZLdPFLBnSbPWFoutDDJzrSOWYtE4HxzOw4YwGQFdpdTV6R6kyA8DX7p0vxveVHLruWs7EBUAHfPT/jIHD93ycgo3ZbLY07dULfrjOA0AN7da26Yokd7/cPg287wn4ZCxj1ibne9BfsE34X+1nrgWDf3RjQvWo+sQ5NanR+8D5xjCthy4ZANJjes4TEQt6Ql9ywoBpMk00WUdu6pLZIoyNTJ/aDpyb7dHNgoyVHmYW3ylzVslazI9jcDTQ6+dO3EoCdDwvz3x8fFxCzlC4Y4Xccl3e24KBEDtyXa7eA3r4GOdEs37Zt1TtqXTm2q7BD32J/kcfA9BmgRRgSI1Xj1ejZPADY8+Aj7Zb9cn6yvRUOeeW4962VA5A7VVBAMRlhFrcqt+7+8axOm1SrSzhpMY5Ws1Y2dFmDrAVLHsSmN5zrStjgRhEfa3qkIWXNHPyx9dXBgJsoepbAZC+1CcgEDv/ye3Gd/zX+dKsL8b027ZkU8BH9cqABf3PK/u0PgvX4e/UrhVoMIuTAVn4cwY6PJZcMlTdW+u+ewFQa3xshPnh//UzfV+dk19skA6IOOUyTQvmR521Y390uR0bsl4T4sCP3k8FgA4B+EQs63CsuN+xA1XAgr7kjbbQDq3PUcPUY3XaQ6c/NCtRZzvmHtftp0OTDMyr43BgRtkA1RU7TXzGoMdR7lon4LJNZ5OqV7WtKuD09IvKWL+2KWkFh977U8ASsVgYrXaJz1mXzkb1WFf7oSCIfzMWqPQkk4fiZzcx/tQHucSFYyaYHWZZK9CTgR8HaHUBQXavmY/p7Zd1bK3n+LU2OVQQxNJCXlkwcaDCdb7OOyv44RUKHIB5TxcAIK1mzxTtKLyxxnUoBqnCiLlHWsc6h4hsQPXJK4vUOWfgR/XjVhW0AmUG1DV4vhfRgJS13SUt/J1zrlmgy4CqW0brip010cimNDO7dI64cr6r6LOXadikrDruxgQM9bEu2XPTJ07fGjAznVVgVlmFsf1RAaFDlzF+R2MrgCm+Y5CDWKlF6qrDaiqy0mnlh13i4fxw6361TZVvGzP+12J+IpadZUtpfI6Wc+agqQHPFWu9vLwMxbNMs0Pw22x/kJYD5vttyXszPkgvAGIdseFlRqyBDplIxvYoAOp1sGNYgmrMZno+ZAer4MTdmwM+TmcKgPQ3EYtONyIs8MHvdLWJLrPlc1aAtqVvlQr0uv7rlV0AomqsqS/lz1W3/L4aDxroHCNQASA+J+ulYg0cAOoRvY9dAtOxonZZHVfpWT93yQ7eMwBiEKsrM9k2HfjBtVr+1tlrlWxUyYobv1n/aP/xfW0c/IxBYSxOqfzbzJgj3jZE5O9cx2iBqx6jCmSluveZ03RtVUfT2w/7FIfy+TvX1sxA9d4z8MAOjp1s7wu/U4PMHCm3p6VL19asrw5RXF9F1PdRjQH9zCUbmqhwTQ4+V9us7MTptgJBqueWjLVNB3J2DXzwfxVIeiSzTfXD6E/+vAI+CoKdDVY66wWn2i8K3PT7MbJtXTofNqYdma2oLljULgCK+HwaM1vjrGWXDty6e6v8cKXLLKZU8SKTja32YuS5boBn43RBr/qc2+McCNcfPD8/LxknGzNX07cykvcQHMfIGF1WBusyxHVfODfrRkEUMp1W9rFKvxyyOFCS6ac1ZjVAZplV5nxcu3R/ET0/zoWEh+v+quPHSAXw3P074JP9/16kChhsqxE5c+HGA/sNBsN8XfazVfvctXruKztHduy2dZjZRS/IawEmvoZOX2Wfo+81JuI6WcLDbdHFBwzAeuLlGF/aAjM7AT+qFBck1Sm2zgPRDs+KsXiOkhWldQVc71NdG85WN/6CILCqE+7JVJwcegBl4f5b1UmozlpgiH/j/kbk2SX0CJ0qGxSxbJit7OS9SMs2W/aoSYc7p+oS58X3PKXFfc4rMd1z3NSx8p4z+CwLbKrfTIcVCO7xUxUI2rZsayy64FjZpANJWd0P65inuOFn2admr7HSAyh2bdfcV26cZv5nDNDG+XX6Cp/zdDP7TPwGNbIRizv1s25ZhxGLMzJOMh3qZ1Xi0fs5vusFPhEb3uTQfcfObUwGngVIXd0FRUa8FT3rs6B0sOmyP6ckKJ7/Z4PtuYfqmEMIrL3o2xlhprOWLnvAT+ZcXW0BO1emdPlzbhuzRTg2AwjqzMf006qZ6zrCAKZlc+4enZ6zzxT8oF9hf5osMPDB3luauPD5uF3MIKh+2Ae0+rjST0+CVJ1v09Jrm5s4X5aY4HcZ+HHJacRiUsg2CNHv9ZUd3+rvyr/uGqzqtV1grmyzJ4Dr77PaHU482EfAZnkTS3ynMRXv1SdWvjHT5apju6dPdLxWMhr8/Lf/9t/G/mSSA5U//OEP+27CJBuU//E//se+mzDJhuRf/uVf9t2ESTYkk10epqy//eIkk0wyySSTTDLJO5LZPunASSaZZJJJJplkkl3LxPxMMskkk0wyySTflUzgZ5JJJplkkkkm+a5kAj+TTDLJJJNMMsl3JRP4mWSSSSaZZJJJviuZwM8kk0wyySSTTPJdyQR+JplkkkkmmWSS70om8DPJJJNMMskkk3xXMoGfSSaZZJJJJpnku5IJ/EwyySSTTDLJJN+VTOBnkkkmmWSSSSb5rmQCP5NMMskkk0wyyXclE/iZZJJJJplkkkm+K5nAzySTTDLJJJNM8l3JBH4mmWSSSSaZZJLvSibwM8kkk0wyySSTfFcygZ9JJplkkkkmmeS7kgn8TDLJJJNMMskk35VM4GeSSSaZZJJJJvmuZAI/k0wyySSTTDLJdyUT+JlkkkkmmWSSSb4rmcDPJJNMMskkk0zyXckEfiaZZJJJJplkku9KJvAzySSTTDLJJJN8VzKBn0kmmWSSSSaZ5LuSCfxMMskkk0wyySTflUzgZ5JJJplkkkkm+a5kAj+TTDLJJJNMMsl3JRP4mWSSSSaZZJJJviuZwM8kk0wyySSTTPJdyQR+JplkkkkmmWSS70om8DPJJJNMMskkk3xXMoGfSSaZZJJJJpnku5IJ/EwyySSTTDLJJN+VnPQe+Pvf//51mw2ZpE/+9Kc/zdY9x6TLw5BN6DJi0uehyGSbvx2ZdPnbEqfPifmZZJJJJplkkkm+K+lmfiB/+tOf4vX1DdC+vr7GbPYGqvi9Cv9Oj9NzZlKdv3Xd7C/OqX/Xva5e352Pz5vd9+vra/zhD39Y+fqZ/PGPf0yvn91vpRv3u9fX1+Glx/T0Kf9W/2Zt4vNnv5nNZnF0dBSz2Wx49UqrD5xwW/75n/959O97hG2zGnOtz1r25/RR9bO7Do+Ll5eXpfOxXviVXYuvoy+9vtp9dr+VbfJ3v//97+3v15F/+7d/K7/X/uyxY6cv7aNq/FTSe/wY26/OP/b3LT+Lz7bhZ//v//2/QxvU11T9lsUn/j6LZSyrxmS+hhs72TUq26uuOTYWte6nFTdHg5/sguxINg0UKmk5MD0W7atAm7uHVQJe9tt1+mefsk4frPN71VdP//XobxXgw+ceAwTX7buxMsYuVjkfO8Ve4JP5iKOjowW7PDo6Go5X/VT31QN83P+9979rHVaifaj2USVSlaitrWOzY78b0+aeOJN97/pn2/pdF+xV5+VjkUiMuWYPmKmuuYl+24SNjpWNgJ+IzQKgXlEFVRkcI+NW+1Ztey+Kz1B6dg/vFSyxOLZwzL1WxphJD/hYp29bY27X0upPN+5WCSIKfFw2WDmzzAaY8cF3Dji1zj9Geh33IQEfiGOwMgDUClaVfhzT2mOnY76v2Bj3fQus9Pj53rZtStYBI72/6/VHTqc94s7T8s2ZHvYd1zYGfiKWAVBE/9QG/raovjFtwe8zw6lovnVkncGL9q1znl6p+tZllu69nqtyOBkArXTV096sv1bNfleRMeN9m9LDeFVBs3U+PY8DP63A0wJPzqH26DZj8rJjxwT1XUt1D9VYawEg9rXr3GuPDa0S7Cs9Vwnk2HjTkxhtSlqJtrvHVrLe02ZHSFTXUhvuOX9m9+7zMW0dI6v+bm3wk3Woa1CLjm1lj2PakqFR/r4nK15FerKfnnvrGTTblFY25j6vDIBlFSYnGx9jsphVMp6qrYfICPRKBkB7nRVLS9+a4Ly+/lrro+BHg/fR0dFCbVYFevQz/tvS+6HrEffuQGIWzMewLK1r95xXj9ffVmCtx9ds0odUIHFfskrindmhjv9ee8iu78iILHnIxmVLR6vqYNXfjQY/vRfKDGUsuMiOH5OpZr/rYSiqc+l1e5HzoWSXEeOcQE+GkDmzXiPocYKVw+w9b/XbjHU4FCeZySrjKgtKY+yIP6uCHP6+vLwsvDIABPBzfHwcx8fHCwAoS3IYCLXYo1XlEO0363c+boy0bLj1257P3PWyBLb3Or3XOzTR8R9R21OlH00GescF22F1bv7r2tcaj2Pi6qrSc77R4Cdjetz/Pc7QfV512joBr/q+uqdeGZuJVOBrl8bbYsP0vf62YkOyYJS1Qf/P/rZkE/2n47fnXnetO23L2ORCf9e6xyoguuvz8Qx4np+fh7/qdPEbAJ+Tk5M4OTkZGCC+FoMkbZfLPMeyJK3+2pX06HKTAKiV4Lj/WyxP9dve9lXJdO9v+Hq70uNYZgrvxwLOjOFxYx62xkmIS0aq8zvAxe+ZtcV3FWDS62mf6P+tsVnJxmt+1pXKMY0FK72GNcYAndJUoQoieq5bAY9Dy2J6wSz3S48zdAwAv2CYejyfh4NhBkarzDQz5p771e/3obcxtpDdn4Ih9xe/U11lv2Hg8/T0FM/Pz8MrY4Bms1mcnJzE6elpnJ6exsnJiWV6AJJY7/ri37DoPfQmXpvOVFvX42tWgM3pjo8dm4xm37nxsGqy2ZIscPYkVXqtVvKyDVkVkI79nfOz6DPnU7NkRG3R2ZwDO/o/bFH/Orus7ltttKcfemQt8DMmGx+D0Csj6c0cKqectV+/z7IMVp4G90MDKmOk1zE6x5w56x4gmIGcnsyE/0c7EAxd1pEZrwOvru0tQL4KUNqntHTjHE8GWCv9wKkC+Dw9PQ0vp19c++TkJM7Ozgbww6AW9UA8NcaOVuuFehOSQ7PhloMfA9ocCNLf94CYCuhWba9iRgZqWrbaauuhyyoAyPlbnMslLlkiwqDHJSTuur0vtkH3cnFz7P329peTtZmfTQ0uNcRWlpAZoGaP+llltOokMiPMkC1/zr9zkgEFvv4YcLkJ6QmE+l77rGWQ/JkLku6vGmr2ingLiAiUbGhZQFTdMWjrDZj6vtdYtyFON9kx/L8CO5aWXSmAUb0B8Dw/P8fj42M8PT3F4+Njyf5Aj2B+Tk9PrS4xNcYASN+rrWb3p8H1UGSVAMnft+5J/Z+7do9P7fGzej9VcuL8q/uuVw7Bz3Jb3Hu0y71X4fYzWGnZqWNhkYywTfK5Womks022P9gk/lffnN1/1Xfr2OnK4Kc3yPV8l2XX2vl6TJV1ZsE0M1DNODOjyxSsitTfV32XZWD7FOec9H8HVPE/9632QQvkZMHTZShqqLPZbMHINABWxqe/RQDucUR8fb7v6jebll4nOeb3Y0BOlkkyywPQAwAEZ6sF0GgP6n3A/Kg+8dnp6elCfRA+578KhPT+Wv3Q29ebkFUDsvM1zv7YTt219H3Lz+rYqMARn7/lX1vvW4mK0+uu/ay7XqXfHr+hv3N2ieN6EhLYpdok60yBD793CYkmJs4u2Rc7QKX3rPc9BleobGy1lwa7VUWNUus8cA0HcsawBA74sJIrw6uyy4zaywKoZtyZsW5DKqPMxLW9CqzoX7yvshDWmQM4bJgcTNlQI2JBN3i5oKh602P592rwrs9aAXTXkumlp20uc8z00gI7Cnr4xZmm2juzeE4n/DnXBbn3+B+AljNNzph72IR967byJU7UznVcOD+r+m+B3sznOvCjdpKxeb3vVWeuH/bpZ8dIlmhmbVTbVHtSfWV2qgkJzuP0pW1i8FP5XbVFtekMBLWEx/cY/LGxgueezHKMuMyCv1uFHXAZJl+H7wUsgKsrUOX20O0ZWsb/uK/McA9BKqeijE+E15PLFJ3OHMjRAOoAEEQDJxseswiqw8xIHVuEe3R/qz7bpVQsnX6eZVqsI84QedqKdaU6enx8jIeHh+Ezfu/qfjhIOUfKesJf1AXhvb6en5/j9PQ0Xl5e7Mox3D/YBHWohyROV61xlgEgx9jg+JadOr8LXWZTmarfKqnsfWmSyud2/bQPPzuWFGiBWk3eMZ2MlwOiLX/qkhLWX5YAqg7ZVtmXsj3i/wwEOQBU9ckqpMtK4KdyBusOIGd0FWPggmWWfarhKrhS5scZo3O+ji1wNLtjkrTv1mXO1pF19Fo5TtaLZpAVW8DBk4Pmw8PDUgBVvaJ/OTiq8WlWUh3L0yrKBLWC4y51mrFPLtvnz/lYTTzUeaL/oQPWH3+n+tKXq/txrEAri1R9nZ+fx/n5eZydncXFxUWcn58vJT86/aX3rn1Z9de2pBd0VUAoO4fzqev62axuZF0/m71cDYnzsxw8K7C/LcnAapaQVOdxftbZ5uPjo2V6sqREbZbtUpMBBSZMFijwUdu8uLgYbPTp6WkpKWXbrGZOeAxV/VzJRjc5rNB01Si9kcwwHYrVjLOi16saA0W3GYXHQbKi8hAsFc26ugPc+yEBn6wtbtDxd5qRvLy8LOhH+56DJvTEBom/9/f3w1+8rwBQRAzghwMigiKDGn7xcefn50PwVBBUTW3ui/1ZhaFwDIezNegK/X53dxd3d3cL/Y/v7u/v4+7ubkFX+l6z1Bb4ccAnAz3Q28XFxdA2N90NPeJaPX14CMAn86kVM6vndGyMApVqiiRj+NjOud/53JCMUWdfqv5V32fTJjpFpv2xDz+bsW89v8NfByQZ2LB9aT1PlpSwXfL3jlGPiIU+ZqCJPode1C4vLi7i/v5+wS6RmOCeMDWtNZdqp9o3q4Cgje7zw7LK4HIGqVlIRbFnKLYKki3wo0yPZpzqiBnBwoBfXl4WBgf3Ef7fh0Fmxjc2iKqe8FnG7OgUyuPj44LhuaCJYMpBFccouEUboDcFMgqANIDO5/O4uLiI+XweDw8Pw/9nZ2fx9PS0wOqx820B/G3rtwKm7jj9TKdC3FQkdAXww0CGP7+9vY3b29ulY9nJZuAH7VPgw4HPZZSsZ2alGPSw0+aXY78qQLQK0NyG9CSXkBb4cX4W0ykVA5v5WccAsR6YLWgBXH4PxgBTmW5qWvUDnR8K8FFpASHHxjFI1X7XuKi+lJMY9bHMzGZTXwpYOb4x68M2CX/qkmDXH/jr+mYTOtwK+GkZpGYiPRmJBlJHp2cBVNFsyyhVkapQNkQEUpz37OzMUsgMfHANvS73waEwQCrZNEFW0+OyR6VoNUDe398vBM7b29uFvxpMYahcpAcDBZuD4Mi0K+sSRjqfz+Pu7i4uLy+H8+r4YyeNPnGZibIY25Yx18v0zBm/m85g4KmABjr69u3b8GLdOdCq9DoDFTdtmU13sX4183VJjU6RjNHPPu0TogxCS9jX8P+uBs9NkygLmzGxGQDKWL2M2YOuYafn5+fDOVHDlflZnNMxsocMfFyQVzaW66tYV5oAukRFfWjmZ3VKm8cJ9KblAsz+sA7BwGKMuPIHtk+1Sf7e9Us129SSjTzYtEfU8PBX32dZJytZjdA5ZHW07BCzIkudL1bw44Llw8PDMH+pRs73zMAH1wUA6qGvdyG92WzmRF1NT1bHo5kIAiUMkP/nFwfSzFDZQHU6hJ0pB1AET5wT+ozwKxzwHvTsJvt3VVnVuasN6lQl+tZliszIAfB8/fo1vnz5El+/fl3SnWPs2MEq+GHwCl0B1LItgk7H+fncEctMg9aDMFuQJWU4zy5EA6Grc8gCgh4/huVRP8usrPOzbnqzBX4yP4uXm8p8eHiIi4sLe06OI+pnOdHcN2B1kunZ+VhNJFVfnAQy8OFEBDbJ7KwCIwdUuE1HR0dLNZFceM7xEuAHbKwmqQ78uJKCTNbR606nvVrGyEqu6nqULahejmZ34Md1flXABYfMQZcVqfOieLlsxQXFXTMF2fetgac0bFbT4zJIZgq+fv26ZKSZwbqpL+iTGR9Q4zp+Tk9P4/7+fgHMwrlClxG/6kCnW56fn0cBnkMWl2VqNslO1bF0rJevX78OwOfz589LOlV7ZDtUJiLi10DGWT7adnx8POhRa/sQfJlNckFWi9YjlgHDvpMSnXZzbE82NVcBnoiwwCerEWGgoy9l9Crww213q2hdkSzXh7jaMPXbfA1OMPfpZ3skY30cIaA1lJpUaoyEf4VtusQyAz9aBwb/ygkjEhLcB+tSa/s05kYsb03iitdbyccqIGhr4IfFoVjuUB7MWZ0Io1ueGqnYAaXlXeGzGhFnhVqEx4bp6gkgbNiKYvl+NcM8FEPskRZLBxDr5p6hDwY+X758GQwThqrB07EHHOwQ6FBzFbEYHBhQMxBSQByxXCytTlwpde2bQ9elG3+OrcumPFx9DwMfvFh/FeujiVHEr+BH+xsB7fj4eMHp4z2moOFk2Y4VyHIxrAumLPvU59hrOyZP/Q4zCcrO6pS0+tXMzwLcOvCjiWEP+IHdZVNnWtTMATMDf6v0565EAZBj6DSZdDU+bJvsXz9//jwwsgqAFMji3Np/sKfz8/OFccXT/lz47OItM0iqf175p8TBphm8lZ7qzqIDihvXg2Qz5kcVikCqUyVQItcZaMGlOlzNDCNywMLZoholI1kWtxcFFOmYn6wvty0u2+C28Fy0+14ZHy5mVj1qfYAa5i+//DIYJv4q+GGancHU4+PjQpEzgh7a7doJBw+Hy1NnEYvgB4V6MHidLkV/7JsN6h0/VTKSOVllfTThgK4AYlmfbItZMaXzGScnJ0tTVS8vb0thwQIpWGO/wvUJWuuF82hgdKuD9mGbLGP8LD7r9bNu0YAyBxws9b3W4Knf1iSz8rE8lakrjpQ9Gutn31Oy6QCsA6vM+Didff36dSEZAQDiuOkWJcCnuj5DrSP3NScR0KuCH/hl/NYVu/NnzG66hKQVo1qy8ZqfXuCjQQTC0yVMY3MQ1ekSdr6sVKdQB34YrXIGoYpRg+R74mkuLgTDC+dtgZ91lLmKZHQrt0fb5pwoU9JKqbsVQvf390s1IjBMBj9VvQheLLgeF7Fm03Cs3wz88OovXA/jBCv5HPvndLgrnVbjR1keZQccta7snRY3cyBUip2nLLMiZ/SNOjunM7SRgZBOk6ujRjC9vb1dWAkGu+T7h91zO5yN7lp6x1Kvn8X37GcfHh4WABGzB+xXmTnQxERtk6dOIjxbo+w6Mz6u3oT9NftYgGGXoCj42aWfXfUaTo8KejjBBEsH/cAOP3/+HL/88svwYvCjPlmno7n9nBjAfmArsEfI0dHRgp0zo66rwpSRxXhAH/C1OTHB96v271rgp2IOWFym2TJKnuaCQjiIctbJTleNUucwM/BT7ckD5biCTAY8XOiFKRVcB0bpwIOCil0DoJZwm/C/Bk0GPJqtKGhlx+qCJrM+qkOl1Z1wANe+RbB8enpaMER21Mr6sHM4OzuzdG1LdqHLVkabMQROh1pU2VNzl01B655AOKcTtikFsPgNaq64zfwe5zk5OYm7u7uhkJ1XgjH4AYjCuZ3T10Sl6udDkMrPKrDUOqzn5+eF0gK3is+t6FNmT8EP+1QFQCcnJ8O0pdaFZGCHV9k+Pb0tf9c6H2Uv9uFnsynyTLT9mV3yZwx+AHCQTDrmx62adbGRdaBlBPCxzLZFxMDMKnB1he28vxrvpQaB7nUMcz/xZ72y9rQX/8/OIZu/dC9GjJyNuGJlnoNW0KPgh4ueGfwo5e4KrtjgtOKdlQmFPjw8DMaoBXpa6FUBxl0bpmtLBmod+HEZJrMIDFp1dUhWs6Vsj9aIgD6Fgbn2o50cNCPegigXvOI8OC8v0+TgjSkT1nvG/HB/HRqYjaiXPrvpr2wKs7XgIFvWzuKYVw520JXzF9x2/o51BPDDtSko0gQ7BNDLbBSf/z1Iy8fyfbCfZZ1C38ru8YtZdudn3cKSzM/ipUwgRAETb3Wgvhx2rffLIFb76hBtE1L5WAU+0J8mkQA/+nL+tbJPN13JiQn+os/ZnyqAZZIAL/gT6JYZHva1m5St7PBcgR53PkW3ulcP13jwyhKtDXFLax2i1WLniLB0GjrbIUue3nKrETJAoNfUjCCrr9mG9OgS7zPg487pmDvVqWMH3Ko8R5tiF1AHPjRDZGPl9nHbeZmmm+ZRp+5YQPRTiw3dZiBtZZfctmxKJ8s0tV+4b5ghYF1mUx9Ko7vaDS581I0ktQaAs1BmbRj84PXt27fhmUK4f37cidqsY2V3IS7DZXH1D5Vd4hhOTNQ2eYy7FXyOYXd+1iWZkMrPOmFW3vlaTTCVCXDjxfWf6+NNidOVfl4x6zo97exS2XQFQI5N52lK6Ivbpgy31r9ygTIDSb5PxAF3Tt1qBOAHfhs6q5JMBbYZGeNkq5scogGalbnMSutDmIpjJwsD5OJYl4Ww83UFd7gu/uf5RjVQKBWUqrI7LVCn59JBUDnUXWWdGQOkx2RgTqcnMuDAWUq2+sfN86OfNACyw0A7lEXg9lXBwQVVLTBUoKVZUNa3vVPE64jeqxN2EllwYD3rlJeuClIQpNMnuHfWHYNN3dzOgR/uY83U1ddg7PH5b29vl/Z5Ylo9Ihb+5yADx+76bBcyZswwuHHjnEEi2B2thdSVmOxrGfyon1VfyH4Wf3XayoER1eHx8fECq56VDug99/jZMYFyE6Lg2YEgfO7YHgVBWgqiPtXt38M6Z18bseg/FOxwAuJqWaE3HXeYDsN4Y+DD9Xf8V1d9Zcw6+4JVbHJjDzat6ENnjBrAFPiwknTJpdaIcBbinC+upx3Kn7Pz5Tlj7nilG7PMv1JERR/yMbuSFhBgcY4Hx/L5GPy4LQYcq+LYAdYVBzu3IoAlY3tYf9z+bMWBAwM85abTpK4PuV+2rdceB6DgRxMBBYkKgHSawQFdBT5KW/Nn7lExOiXCNuUYVA0WaBMCp9Yoffv2bTgv9M7sA8YwA1buGwXe25SM+VFpgQD1s5qYsG3qNhRuH64WyIV9oC3c1zyVqW2PeJuSAxObJUV679pvzs/uwg4r0XjBwmOK69j4/tQuM11ymUjlZyPeQI9ON/OT19kuddoSdqkAjdvM9WVgjjTpVWYZdqnn0j5b1S43xvxUwAd/s0YpklW2wK0wyfZ/UQWzMTrUzbUBXL2uzpQHo9bwRCwGkwwE8WfOKPctPY7BOdiI5cxNp0oytsAV2UXEgvPka/C8P9OjLI7F0OtnQMYBGh4LEBectQ2u77YpbkqhAuHqNPh3EfmeWxmQdWwr2wTaiP7WR8ToEnTHSLHt4TP8z3rl4OD8iC5/V/DD9u3agn7blk7HBmi2SU4W+Fxqmw74qK9lf5v5WVzD2SKDIrUzfO8YjtlstgS0sxjibE+BTw8rui3RcVLZZQZ01O9yUuJ8rEsyFURybOT/da8lTUqcrjVOuoST28uJlH6fTZm6/tO/3N8t29zqJoe9wMd1lAZPKDDbxTkDPUxnqwPLwEhELDjXjAHIMiwNiNV1+bN9AiDHYGXfuyxTDTMLnEqxu8JIZgagR84c3bbqWTvZSTw8PAz9/PT0NNyryxAdC9Jyvs4QD1GyDFj7UfXpHK4mK+q0ZrO3fUHgPHXPLN4plnWq/c9jyk0BQDT4V23n9mqQeXl52yH4kMX5WbUDfp8FJAU/WsPlksuIN0CrQSnzs5yh828U0GrS4Xxt5lMP0cdGLOuiBwRlv3V+tkpWFPiwLqBDrcNxvtbZpQM/rnha78UBPSUWWrKqv10J/LhB1NsAvdkqgDrDdMyQTnEp0neG5wI8t6s6puqX3hdf7xCMskey4O+AgQ5ml5G0DFP3keB9QJQlgLDh8BiqCp4zsJfda8b+OXFAalvSe+5WIjLGLhX0KPhRKp3ZFn7uD3TqpkRcBqk6Ro3IbDYbpqyyui89r740qdmnbEKn+Ots1OlT6yxZxwp6MvDhfG02nqpkg6UHUGVM7HsXB3D1ewAOx6iwz4p4S0pgJ8z48JPYM7t0Nql2Cb8/m82GYmpXL+RiYnWvm5KVmZ/egF1lIFlGrU5NgY9SeWyUDs26zJ6nm1SJlfNXI+b+UIOsrs/9sS/gw+1QfVZZCR/DTkyBhWYA1VSY1lApxao79PJDLlmXmtE+P78ta1fnwDqsxiK/VxZEp8N6+3wX0nOtCuApGGCHxoHRLZXlAKk7915cXMR8Ph9enGG6qWfn0Hm8PT09LThTsEDOyfbeK/ffvgLpqn5B/VQ2RR+xvLVI9tIkk31o5l+135mR4DGS+VpID7DK2Fs+/yEI+9nWuOLvFRzo/Tggq1NL7Kt4ClL32oFN8gIBBj/VdXjMIemEfgB+dDNDB6Ld+0x6YpWTlfb56VFeK4ioUbpA5Jgf53R57pmVqttlZwVwvPLBza+irRGLexlwn7ARums5Z4B7rfr0EIJlZmz8nQYRlwEoa6fTXo69Yyo2myLhYKnMEhgBNkjop2JtqjHeYgr25WjHOoFW8HGsCE8h8ioTN+3FwBVOdT6fx+Xl5cIL4IfruCJi4XqZI395eRmKm2GDqBXLCtJb94l+zFjaXUjmO8cwlPx9dpxLMt3qPa3x0fodXqHjXq+vr0MBLidJmZ/NABCf09XpVXV4VT8egp/l7zI9u3Gr8TJLMhmccAkB2FdOSDgpYbASEYPN6YIWnB/t4oUjGAM9W1e4z7Yhe32wKSuxckgZLeuKK7kgll8MStghPj//ut9FxJsjqGhYBSqZIWYvl5Wo7Jq2HRuwK+CT6S8zTNahsnfKGMAg2SgZ/LBR4qWsULU6i/ujRaVnznnfMiZAO7YvAz2qR6dDV7vFy1ovLy/j6uoqrq6u4vr6Oq6urhbAj25oyNOlrj4H7WHAFPG21b7aOt9j9hrb19uUVc/Peq3uq5VkuhV8ALW6IogDpEsC2c9Cb71AjkFtldhWAMjZxa5sdqwelfFxfkenfbOiYceso6/A9szn88EWYZ8MfnhrAoyXx8df94LCikq9htZZsk0qUK5YH8f0bUp2An4gLptpZZoKfnQazGUjTOGhWl0NBAETARGB8/HxcVCUtl0zfAU9vApJjTNbSVTJewNAbIxslC0D5eMwwNmxIiu5vLxcyki45ufl5SUeHh5swGPg42hzddguo8wM0NHTmRPfdsAcM64y4MO2WOnNgR+t9wGtzk725uYmbm5u4vr6egA/zPq4oIwdfXVMaT0X7gmFlvxdxkxqX4yRXQKgXqY9Y4Iq9sD5WU4wsZIuYtnPOnvkpBBJ5vHx8QCCuEarupcM+Ljpk/fgZ3slY67YRp1v1aJnnSbGuV1Scn19HTc3NwtJiWN9AGpYzy4x4YQE7WbCoPKnLeAzJsnLZG3wkzWiB6WxsWZTCYpws3lGdCjXhszn84VNzdz0E4z6/v5+aeWQtg3Xwf2xE8hebpOozDAPgT0Yo8sKwLpCOHWyLjNBvzAty1MmGfiBM5jNFueklW3L+peNknWWTZ22nOsugE5LxjgIB2BbjF3GyuC+XZDk7BIvTlDQFlybx8Px8fGCQ1dWjzNKnT5pjcusP1j2ZZuOca4kG3sO8GT9k4Fa1gfrlf0s2xL8Jc7B7JAyVKwLDdTKNPG+UFmymU1/7ZtZZ32ObQcnBpkfzXyrTkWrXV5fXw8A6PLycsEulfWJeJspwX3A7jBO2JfAtisG3dkbj6Wqf1eRjTA/q6Iw1wmOgq6YIZyHFcrzmECvOr/IymEnml3HsT5uk7aWUapBZmBjXzJWl716ygASBzOI0yc7PTcPzVl81hYX9HC/DGY5s2wB2czB4j56PtuluMDYYgIq4KOFyM5GdPqSV3rhf97xl2sHIhansZgZYqerWSZ/70CPZsT7BqotGWuXLQDkfG02BthO2EZUn5Wf5cQxYxm5PTiPAz6Vn62mVFwf7Vq4r3vblOmnmupyfg7n56QkW4QA4kCZ9YhYSDz4L9tcK9nk+8nGo2PnNylbn/bSxnPnOMluvHVuzQrYME9PT8vruYBdZYcuSHJQ5uDMhlkV5O07KK7j/N3gzUAj/8YBWcesZUVyfO1WsM5WP0CU9WHQw45WnW1P/dAuM012qqtkldlUV6sfNWNnhkynKRQ86hSlAmO3dFenv5zdoi0uI3bBgW1g3/Y4VpRJ4c8j/PS087V6rJ6fmW72tbCRLEOv2DfVJ9qhQVqv5QCQ87HvTZdOWsCnYtoZlETEqNjlACtf3/2f2SZ0y+2qSIaIfPpvEzrdKvhRJ8zG5QamC8AVCOKsL1MmFBmxvGX4y8vik42Vxs+mZPh6CrZ08LiCvArM7UN6gE8PCs+ApF6jcsRu4LviRc5GYWQowss2aNOVKzwvDcfuWAp1ulprkI3hQ3S6Y1gfB3wcAFIHy8DHTRkqU8Mg1F2zAkC8EELbCAYh4u0RJng4phZoq+PdNxPEQCZjcXrOoZJl2TjeJWWZn3XMKF8DfQrb1NWdGRhlP6vgh23S2SL72EMpLWC/1ZLsGGenmiDo1JdjfRzD7ZJ0jDm8cM5qHygFPc5XYBxVicyumNidMD/8lz9vZag9wAcOzimTKTuX1UKZeFaNe6q4FnFGLGckGiTVKLMi20OSLGMc8/sskDIAwnXc1FhFA7P+AHg4i4AueVt+Bj66IziCI0TpfNZrpV8O5I512aWex2ZESqc7x5qtAtJ9fTIn6+rscE3WJ5ytBspqiq0CvU9Pv26qBh/Bwfv09NRus6DBYt3+XVc0WcyOyfxKBXR7mC4ew47JYz/Lv3d+lm1Qt0bggM2JsU59u0QkY9Z7GNl9yZhxpLapbE/vyktIZZfONmEXnGS4Jyw48AOfzL4CvvLk5CRlkR1ztQ1ZC/z0NioDL/q3Z0Coobssk5WpNLruAYMnxfPD+nTPkufnt5UjmpEoBczPQclWCx2KbAph8zmU0tQsUJk3HeDaJg3IvOqE2Tt2sAA+/OgTffIxdMoUO2e0CnwU/GiWpNky/92lMADpOU7BKAAI24tbaen29VEwmYEeziRZn6xjBVnq0BX88IOPsfcI2sGMFAfTrKjX2QTOsWsANFaUJepl2N158BcBq7WaihMRDcbsZ/WRRKxTXCdi2Sbdc+B0qqvXzx66HiPatT5u5aV78oEDQG5csD3NZrOBhWEgwyCWY6aCHzer8vLyMuhWwY9LQjhmbINRXxn8jA2aWWZRDVSXpWh2qUiWzwcFRISl7KBMPLwPhqmDB4YCWtdNkTAQciDs0IAPyxhduiCPc2TzuDqdougevwGTk7EQYGu4WJ0NTMGP0zWM9fn5edAT7sXVF1TARwPAvnW8qkPPmB9NGNyuv2on0E/GSLAzfXp6WgiuuKa7VuZglVmAQwaLcHx8vAR++InSmuS4ugPt311PibVAF/dx6zgW1XvLz6IPM51GLPpZ2BrsDn4WwdMFaL4Hx8a6fYWcHf5WJGPUW/aZsT/ZGGDbg81goUHG+jjwo75e/YOCn6qGMIv9m5KtLXVnqYCPvufzuuDpkCD/hpkeKOT19XUYFMj+ERyzKRFGqxG/ZiN4z0aZFcK2VgK9Z3GZZMbqaIZSzfUzU8fnwTlgjBFvwFadbaZLdQxo9+npaUTk017VstqqqPKQde6mP5TqzhyrBjR1fBBOSjJKHYkJ613BrNZroW16Hp7yBKMQscwiOODm6pe0v7j9+9Btb2Dndqooo1olKi7guGSH60vgZxnssP6yaS/oM+LXoIj3zs9m011jE8xDtk8V1VML+LjaRmbLs3PjfLPZbEhMlPWBXivwo76E4yhWdZ6dnVnA0xPnNyUbmfaqqPYxg0wdJBuXy8r4rx7PgfL5+XkBtWo9SIaYOSgrDVzVGelyz9b9ZmzKtmUTA6vlRLMpFFfACp25QAzAgv5ho2TDVAfrKHitM4lYdrStIuffArB1GaUDrBkAUgfLwEBZWQd+wOSB8dNaPM42oV8OtOy0+TiApIjFJ8k7piej2d+j8HhWhioDQ2pnGsCqxIb9LAKl1t1pPaXWgEAXaDNPU6qPbdVS6r1xv7w36YlxbJ+akPCUIoMf9K8mPAx8MD3FLC3blwM/GqOV6efkVvfr6p3i2rQed7rDc0Sbwo1YziocLe2mS7LpEZ0S4YJYHiRafIdrIDByoHSrWbKgqBm29gf/fU/iMsmMmmUjzTLuiPyp7PgO44fPp6wPnICCLaaBWadKseuy7IrR+y0AIOewXGbpAJBjSKvpaNYrBzo3XhwLxHbJbJEGVs502aZdkK/sM6K2zV0DpTHMUzXN5YKf9o+CHgRDAFcuJkc/c+2V1lI64Fmx667AutfX9vTHIYreC/5q/6tfzRhu1iXsz/lpTHdFxIJt4ju3cESTTLUpjdXQqQM7CniyafNNys5rflq/y1gfRYg4lgcFo1dkEy8vvz62QoHPt2/fFgKkYyvAEOBa7NB57xmlX1srDVp9tCtZp37BZSQui9SpKTfPq5mBGwMRb0uimaLVqREFP86xa1aFvnB67d0/5L2BIBcE3bRXVfPDDjbCrw7iF18b14IO3NjJwJADPwpwMFYArDI2IwM9Y0DGLmWVaa/s/hzzk/UVsztPT08DyHV+9u7uLr59+7YAfpyfZWaAwTGD554EpOoX/f7Q7TTTU8X8OBCkcVPPnzE/EW9TxZpkcsmISzJ7EgqO3yxOPzwOFBT2kCgtWRn8rBM4I+piZlYK/82cliJYtC9iecoLBgnmRzNJvTafKwuQusxS7zPrP/d+n9I7mLTfM+Dj2AO3SshNN6guIt4oWzjaaq7bsUuO/o1YXsrr2LystuDQnWmPZM61BXqYScM0hU4Lu37j6+H6LiDqlBS/XJsz6tz5mRbw4b8s+9I122ZPG5x/bvlPZ4uVn+Ug9PLykvpZBEjnZ5kVQLvdGGoxPj3yXu00S1AU+Dh/x3rMWDJm815f34qSOcl002oVg+9sS2NjxfBkn3Hb19Xnzqa9nJPR7zLD5L/utxgQ6AylvDkj0ZofsAoRvubIAR+ei+7dV4KvcYhTXb1AtnKcVbbuqvqrMYFr4dwRb1kDDFVfjrp3AVQDg2YYjrnopV9b36+TMLRklfGk+sxYlyyrdP2YbWyozkvBj+pK2YcKvDhne4h2ti9RMIi/3M8uCeHfqJ/Few6SbpNRTIu0wFiE97PZliFuigjnOMTkEtLjI6oE39mnY+74lfkuHP/09LSkV06C3LYTLaZH9Zr53B4wO0aHvT52I+BnDArPMjLn9KosRAMjO29eOospF52v5MJIDX5OSY4dYEagpUANrptGsetKD5OXZW1qnDwFkRWXamBz1+Jz8hhoGaS7TnYtl3m4KZtDBa1jRe2JP+f+ygCQZniQzEaqva5c8GXWh50rt5PvIwM+2q6MrXsPTN4qgLnVZy2w445XvTHrw0WxCny4AN0xgPo5293YvdL0PHo/h6ZblSw+qi40wcySERWXgOB8WsPFenWsb+Vn9V60DQp8qthYjdHs/D3HrwV+VkVjGejJgl31G55zZuDD9KyuBtLiSRhZRsNlAbE3OGpQ4CmXfRrkGADWAqD6ykBPi8nTazHrg7/ZVFoGgPjF98D9oABYdZuxQFlAzfp1m7oeM5Yqx+rArDJrGrRcwGo9xytikc2rstlqzDGLqAEV4sBOZbdZkOU+XgWUjJEWqKt+x7/Xc1WgUccB93fE26IDMAU8ZcJ+lrcTwZRXb92c+sreJFN/y3qC3g4BAPX42srfZgCI71P718VTth+swDo+Ph5iqjI/XOMDnWbJCyTTceUTcR8ufmTnWEW2Pu3lFIn3/Jl2HjrVIVVWfoZ2mfVx85WcjUQsPlATf52TdMHPDTZuD37HBuwQMl97245VpeUYWs4zC0qaDeBcet7sejwOGFi56S6de84cvN63Az6Z/tVB4xx8Pj3/viTTZ48unV1yfRyP6dfX16UgldVrqEN213C6zFhGBdWVjLHbfYveSwWAKv+q37tkIBsjeqxrUxYg1c/itwpemG3Iko8s4dC+UD8Ln8b3v6tERKXyQa3fqA9jO9AEgfuAZzVagArHMkjk8gK3yCFLlBSkuFrYSpd6b5pw4ffrys6XukfkwMcZWYZi1aD1nKw498yujLZno8Tfygj1dxn44YGAzytj2GWWotdySDz7y/qr9FkN3Oq6+B0zBBoYq8Lp1n1nbXB67dH3rnS2iri+yRyiOjXNvuBg8dvZbGangjUYsROsQLO7pruXLEDwvfX2Te93u0xMHKDRhND9JvutJhUMSpiVc+Pa+VndjsD5WbV9DoYum28x7K59eo6WXbo+PHS7dXFP2RZNPPi7zL/ymEDfOTvUeqPKBhmI4bwZAMvawjMIPI42lazsFPzozbWcSkajM53O017q+FzQZUOCUtRZ43fO+KqVBz0AqCX7CKY9zrzlRF3gctMWEM5QIG6qSUEvfqvOUv9yO8FOqAHxudz9VsG0FSwPwZFmAcLZHeszc3bqSFl3+L9ie9gBKqjVv5mPUL1rX6vzVWkB9F0Cm5boeFM7yI7F/85mWdQf6lRly89moFPPC6lAcOZfq0LnMSzOvu1Rded0UYkDBi7hYz1y4oA+XmWDSAWl+hvH8Og59B4cFnCJljuez78OSbCRHZ6rC6uzzToAx3JQhBLxoMnHx8eYz+dLNKoLso6GZ+AERBkRS46a2+UcQ89jLNTZ82Blw98ng1A5/B5jVMDj9p5g2pIdJ/cp+u/4+Ng+NR39iL6rwORs9ms9AsAtH8/BG3rTfsgMTkFeNo6rALVtqTJffI826nGvr/6Bpm4qEeficQx96qMH2A6QbLC4wKmgVv0Crse2xFPYGXDlbLKaWsumhXYdQNl3Ot+SHcvSCmTq2/BYl4uLi4XsXv0sXq3z8T5QygJymzgwVz7W9ZGCX24bH8d/YQf7SFQyUN76Xn0uj1ntR+huNpsNjwzBd9Cxe0CzgpfX118fAaQAy+3RBv26ZCJLUBT0KLOE37Kesxg6VjbC/PSAID1eO8YZDh4zwJtjafA8PT1dmoOEI+d5SF0WjbloNmC0Hx2PTnZgjB9imhkm3y/Pq0Lc+10GTYemM8eaZe/cx9VLpxthiOyA3LPSdO7+9fVtx17d8fX4+NgueYfj5uur3hyYywq2cYxS8TiPk1042Ar46DFwhnr/XL+hu8Ty9JMClKOjo/SZSzxWcK1sjLEDfXl5GVgHfA6QzO2NeNtkr2WH7A/cLtX6yoDPrgJm5i/wvwbNyn9w/2oihwSTdc1+GQtEuP4iS350V3BXZhCx6G+U3c9AdDZucD72sVpjpn246wQl8/EK0nGs3qsyI3os+8HT09PhM9alexh3lsTD/jT2Od8Am0SbOC4wkHHAR2OIm8ZjUJZN442NoTuZ9tLglTE+OvihJJ0XZgNm8OPmIdGxCnx4B+As848IC3xaD9dT4XboFM0hSM9gcRm7G7gKPNxePAx2MKjZMN3ze/i6OLd7BIV7dhAyFYCg19dXC34yw8yADzN5zPxof2YZ/KbFjT8FGppxs6PLEoVWsaEmL65vuaBS2Sc+BztJx/TpKh78hvcpUUDP+uStL1rLdzloVEFpW5I5d+03CPerG4PsOzNfqyyCJpluQQHeOz/Lz5lixkL1q4klAyCXYGpChnvWJNP9dtegB+11oD9jRvCZjmntQ9apsm/o14jFONZ6ViH725eXl4FJwhi5v78ffvPw8LBwb+xPOBkB+8e2yf9zvOBaMS2F4H7QODpWr2s/3sIpdKw454nB7wq21JDZKJ3TY6cOx4dAqUuyIxZ3/1WgVRmmCyxusFeBZJ+G2XMcCxsjo3x9ud2dcT0YqYIfnRLjazOjk/U1jwMVF1R7gloG4DXY8l91etvWr7uWOia0Sx2rm77U6Z8skeHv9dwMGnG8A7U4h2ufy3QjYimwVdOWOq2nT6avNm/jfkIbtqnLDDCPAV/O1zgAxEmm82M4PntKOPexJpg8/aWsLPwsbF+ZqJ5n6jkgqPe9b6nawvbUOoeOSQWpbpo4m47Ux/YwkFD74hkQ6Ax2pMkLwBb7aLQ/ezkGUdktPQeuuY7shPlxytXBq0piw2RD0yw84tcA6sBPxGJGq+iR28FthYKBnPXl9i7RAaQDrzLWfUtPOzIQ5waxCzhMg/N8NM7Neuc+duBHgyIX90HP2e8q55DpsldvuCc12F3qObO1LOt0Dkj1iHMoyFAwkzFlnKkpeOK26NhRZpGTE3bCbnoS9+tYO52OrYAPt0/7blfi9FkdWwVTZ3PqZyNiSX8Rb36Wkxe+HqY/mJ3DtdTH8kuZKPcAU/WrzpZ7E5ltA1cVB0D5u1Zi5MZhBXz0Wqxr9bNZf7oEio/FZ7ApbafzJzgmSyqcvWcbOGr/rOJjd7LPj4oqznW8BkJ0igNGOJfL+vA9jMxRhHg5mjsrvqvAjVKIes0x2ds2RQ2lGkTVwGu9ODhp3U8Fft1cf8v4OdPQIO4Cg7tmS7+9Tlb7eNvi6iqydriMy/UX/1Yzaz7egZ9WINb2ZKCHa8bYCb++vg7TWA68KNBSMOacbcYwoY342wpYmxLtv5adjhEOivClnFCcnp4uMIB8vAtcCIIvL4u1IvziWjkGVWp/WoTrAE6WcKqv3bfweFLdMRDj99l4dUBqTEzJEj/tV7TB2Y+zT9glxsDz8/NSzZfeq2svX4uTE7XrnmS0JWuDn1UvXAUQBUCOvuOsBb9Rh8vZKeaBucNc2xn8oA3ZLrWtV8YC8eByA2JXWUmmu5ZOewAPG60LgqwHzUC10JGvi984XaJfuY2afXB7NCtyTlgdi17TjeNNBqgx4vo4czAKfBgAVdM+fB2cA7bn+pjb4rJ3bbtrFxzsw8PDgt4iFp2so8pxbW6DOv2q/1zfZcdvWpzdKCB1x1b2xlKNfU0+mXXT+g0GPlXCoH2fgZ9VEpAsiTkE8AMbiagL2DOwkbGx+pfP24ojrPuMNdNrtfwF3xNPL2Ns8HUr/WbXy+LHqrKTp7q3nEQWzPQ7HewY5DiOHZ9mIhnYyq6DwOv2vMiCYm+Q5P5z/bJLADRGWpmAGqsGI+23o6O3uf6zs7OFFxtlBqoyoIk+zqZR+F64XZUxsvQY3j6cbmvMsG24KSAtVncvNx3G588csQuArCfWs2a72ga+ZsXaZGyiq31wgLfqx13ap4IfBdct4APJxrLqhu2I+4v9bgaAe5NDTjArAKb+YqyfdX2I4w/Rx0bki0nc9K4yQqxHTfBcX2vdD84R8eY/e0Akt4GZG2ZreoA26537Q31O5pvHyM43OVTRG6iQMT5TpI/PObDBEDHIn56eLJXqron/mZFw89Bj0CcPjMzwqu+2IVnm0PqNAz4MeDQgRcTQj2qkXHB5fn4+7D+BPlbgw4AW+uH3GcDsDQ5qVD0Z9T6ATkvcmHZ9qUXA2SNDdJlzxFsxZAbuHeCpWBf9H391vDkny2ONr6/gR7dTYMCt2yu4vmTZV/DUvtLvxtq1Swi175Rhx/nZJrF/Wk8SweNE2XzH/Iz1tdpH6lcPGfhwv3LtCwMgl6woyFBfq8Cfx3vGvPB7tEltCv/rNJ0DLFki0pr6rACP+pxe3a692mvd32XnaQUpnULSjtFAqYbZ6swMJfNgcYhYHQ8DMfxlw+TBVvXHNsS1tXIyLhAp/anBEgYEoMPn52AE8IMgBCCj2WVEvVqrcroaGKox5u63OjYbB/sARi4zZlF2xU0xZfs0sZOFDh3ocdfOsvNqrClgY/YO73uYH2YZdR8xHnsO/Lg27tJOK4eeBfRef8J9W2XYnFxwUsL+i2sye/1sxc71nEPvw9l15mt3Jb1jHqJ22dpDzTEsmqD1MC2aNDqQq/riDRVd8q4g1+nb/V+1T/tW+7MXAO1k2ivCzx9mA1Zpb834uA1qoDg//neZaY8x8YDRWpRs74nsnvXeMoXhN7uSKkvsAT9Mv+rURLZZVQZ+3L5J2pZWQNTg16vnSg+VU3W/r/pv25IBEAWA/F716ah1VxAd8bYlBPdzy45dANDpyawdOpWq2bFOa+IaLolR1oeZH6010/7dpaBP17l2Nnbxv5tGcT7XjfVeO6uShmwqssfP6v1A/z1t2pWMAT4RsWRDreQkq4lpxcusXT16zBLNyk+6vnBty2q/Nq3PnT/YtAI3bvokqztw2XgVsNxv3Peq3Mwgs9qf6r75lYGLfUg2UN0xmZN0OuQ+deBUz+30AOesxq8b8bmHKVZ6aYFhNmTtIwbbPca4KwecAZ4eyfTv+sCNUx0brC9Xv8VtVNbQLT9Xv8DXyXaGdePaBVrd9G3VwLAtYQCUjVPXtiq5dHrSYJrZMgPMVXytjgEtL1jFz+rYbPnafYnTUSY9/ZvpyPWzS3LQHp2RyMaJq7HDPWTJEq7tEiPVG4/xbPp0U8B2p/v89BhhVU2eHcOdietlx+tgccaaGSVvvpeh0grh7gvcZFIFs+pYHbxuIDsQ4/QUsRisAXYAlFyQ0yCJ1T66tNKNOUhlZC199mYj+wqU1XXd/fBY1/n2KgBpsHEgRoEPzud0zhuR8i7MvFu3Ah1n30dHR9Y5u8yyqufLgM++9Mrve9pQBUzXdxmroFMrLjFpFcy74OzGXmtrkQyU6n0fkrTsMWvv2EDPetapKD4f9yX7W07mWLe6Y7duVvny8jb17J62gOtmMd/ZKdqidbpj+rfVZ2uDnxayZsVy8OvJPirgoxmKC76sOJ0fdUhUKVOlyPG3WvnFits0Ut20uPb0ZFYKaPQ4PZeCUfRzRAwFy44pwG8zJ12xPzwuuD2qW17NlxVbsvHx/HRW9+X68ZB0r06Q+8JNBfGL7SezIQYy6mRdv2XgR/fvybJPB7TdvTrGx9lyZb8cSLYdZHEN/puNNQUDCkqrJLMqpnV1Jc7PZvVhzj+rnwXDrs/1Y/2oHbb87D6BqooyKpBMl1ltjEtM+C/Ox/rmNuh1oTsH+KEnZ5Nqm/qXde7GbCshZVt1CYkmAlW/V7KTgucexifLGpTaY8fXAjMZja6O01FvbJAaDBwAyoLmmKK9fUgvANK2K6jV7FrngRmMcqBiIAKmQMEPgmMGlDPwowBIDYtX/GjdURYUM4ZA+6DVn7sS1xbnZLjo/OLiIi4uLob3eKil9qmCy4jlHdXRR7DHDPywo3UPHXW+IAO3WY2PK3B2tpwFVu2/XYgCn+raGmArpidjaPQYDmwO/PCxjhnQNuh4cey61mAxABrjZw/J12a+AeLYGTcVyMAQfcW+j8eAgovn57f9dtgnZ6wu+2x9Hp6y7qpzvi/1nRmQbU1HV2UGWWyqZGc1P1mGqIZYgSAX8Nz8I2eSMErnTLPMMcI/08sZZcUWVMZ5CJJli+ueU50P9JHt1pkBC0gFmtk563sePxxAjo/fHu6HIMjBUAOimxbhV9Vvu9a1OtmMmdW+4K0GAH7m83nc3t7Gw8PDki3CabqkA3phYKjApwLHjmJXW1UHe3z8tuXF0dHRgi7dfTHA02Jnrfvh/uK+3ZX0skwc7JRhd8DH+VrH+EAnjvHTqRH1s87XumQE49AFvjF+VoHrIYgyP5Vtap84MKDs7MPDgwUIClR15sUBHwd+MAb0YcDKAvGGhkwgsL91SabbesL5Y06IW+xPj73sfJ8fF8iU0XGsT5Xpu4w0M8rMMNGuKitWhqBlkC0qfd/iDK8Klu437nulYjWzR79nfa41IRGexs+mwrIdf3F+F+z5r+o6q/PSTMQZXCvj26S0HCuLCzwZUFAgyTaojhZ64TbpdJcGqYjlp8qrnbqpTM0c8f74+DjOzs7i4uIiLi8vh9fV1VVcX18Pr6urq7i8vIz5fL601N0FhH0DIO7T7Poa4Kqprh7Wx9mT+llOMrMpSwVNWcbPTCzXWVbJx6Ez7K2pLhUHgBQ8ZADI+SQXd4+Pf31OG67FbWOfrYys6leBz8vL20aXmEavWGX1N/ye/bHeWzWl5t47WXup+9hB5hBoNSedZSFgc7LMMDNgV0PAmSQDF66BgJKwCZ/ScZtgfXozvE1Jqy0sDD6yYzUQVQBIQSfOU83vclvUuWfgh8+LIA8Dm8/nC6+MDXB6PkRxOtMxpY4YTgpjXZ3PfD5fYH446cDnsB2cm/UK8MM61XGC37prqJ1mU5isI9wLwM+HDx+WXtfX13FzczOAIAAg3mBTk5VdBlW1M9ZlZROtBNO9WgmmLiTIElMOjq4AmpOdDPS4JLMqfm5Nex0CCBrTBm53NRXkQJACIE1M8L6XHXPsD8dRN/vCyQfHTdjj1dXV8EJCoi8kJPBBGAetxBtt7pW9MT/OOLOA5kAP/3VgJjNkZ8COQueBphScAz5qcI6C7THIXQOgMZIBIL1vzloU/KhelQp3QNFl3g4AqcOGMcJwOCjO5/MFVgDGxsbamnNmp8LtxHeH4HiVDXJtVpbTsUCwo/Pz87i/v19g6FhgS5y8MMhxYwXjg6erW7bKIEdZOga4DH4+fvwYHz58GECPAz+63J3bzH3m3m9aVFdjgU/la7lfK8aHX71+NpvuYt0p8NH6OzcVWQHSXqCq9rAL6RlHzrc6EKT9xn+zOkSNryx8XWWp+fctHTOogl3Cx8KP4H9mYBnwqC8G8IFdR8RSrF5Hdr7PTyU6tVFlI/f39wvgR5Xh5q5dfRB3ZhYAFMFmAVGVkX1+qJI5A3WsfCyzPkrVZgDITXNCJ1l/siPQ9mp2wtNquL4yPmpsDH4yx5vNpx+KfrN2OMeaASCXjZ+fnw92Bwq6crQ8ThQw4nqataNN7GjddAnOqyCHHSV/fnV1tQB8AH7YAV9eXsbFxUVzh2fW/S51rrZWHTf2xeAnSzaRaPbWCKmfdclNBrSz8oJsGhKiACMDPiy7SjR744DzsS6p1mJ+V7DP51Tmz4Fi58+qpFVnTNA+BT5ILGCj8LkKfJTxAQur9pj9XUXWAj/onN4GVNm8ZoIRi86wmpd2hsdB0AVZnF8HVTYlosyAo8f1fjKpMrhdiwuIqleXSeI4ZXuyAnGXvfG5YZRcL8KC62j/qhN3TpazDhjezc3NAgvAhpfVdjngoyCiN1BtQ46Ojqw+Waq2qw4RlHja6/7+fmEe/uTk7ZlPEHWofF0cq+BH2R9lhPV3ADisV9glT98B/AAA3dzcxM3NzQLlDrvOEpp92uoY5qcljhVR+3GMkBZIu4Jpx/ZUfoKZOfavLvhlftb1UxWPdgV2VGCXPeDZ2WbEci0l2+jj42MTLDo/mTFzuJ6Lw5xY4t5Yv2dnZ4M9sm+FreKlzI/GWC1w1n5rxdgeWZv5GYvAOIhlRW+82icbDA69qvE656n1GmyQp6eng0E6Wo6Do2bALlvktro+27c4JgfCjqIKYK4o7/z8fNCDC5Za68N6zNqF9mT1QDAM0KNwBG6umcEPMwFc+Loq8+N0u0t9Zw42A0VqG1r8fHFxMQDSl5eXeHh4iLu7u7i7u4v7+/uhnkenT2az2RIAwvWqPtNkiIE4j7nz8/MFCh3sjQM/DHThkOFseWxmUyv7lgpQZ8HcMQaOOVB/mNl8VqPJ/pbbCTvk9rCfQDCE/pyfbQEg1xetBCSziW1Ly0c4f8i2wuCRa/QAPF2dIoMZPRfrk0EQxCWp3H4FswxqAXw40dA6wgz0sC1GvLH6Op577LJ1zMamvcYyQG6a5Pn52VJ4zjlWQTDLMhU1cvCG04TDRIDkugBeGcJzkW5prOsf1w/7lAxkZOIGvS5jPD8/H8718vISd3d3C5T24+PjUjDDy1Gy2fXduGAKFlkIT3MxoGXjdFMf1aof149VtnkIolmv2ohORwBAPD09DaAzIoZVPVhsgM8cI8vJh+pWM1m2T3xeFTizneLFU19cZ+CyTA6urnap0ve+GISIPj/rgI+b1tREk387BgS6a+nnyijqFAj7WNiiPujYTeu4/tG2tY45FMkYn4jlJB3AB34SpSDwt0hYXNLG11IdOzaY24Hfzmazpa1A2C454eC6H+iVGT8tKYE9MjuFMbTJxGRnj7eI8EaihlktadTPWiutlDXAe0WrPE3DlJ2+eHpkTFaiGQnasW/JWDWICwgcJIHK2Rg5YD0/Py/M94JFYNDJOmRjdlMnTu/oV7zwOVg8LbJj9ofZINWpG198/61MTj/fl77Z6Tnwr6CCgxP0AX2D4QH9/fr6GicnJ0tTH7q4wNUbRIQdA2irAz4MzgBqYJuYvuICUNQewG7V4br9Q7J+ymRbgRTj2mXevYmK85+w2zF75+j417Hz8vJiARSfWxlF6MElmgqAxvrZ34o48Mr2GRFDv/OCj6enp4j4lf3GZ07POE6TT/YJnBiwT2ZbZLbp4uJiiVln38qsrCsrwfnYJnW1KLd5Hdvc6uMtMiTrlOqAEGcocLK69BHGzM6Sr+UyXD6H1qiwU/348ePw0vnLzChxnTH9tC/JwE8FerjPmaFR4BPxKyPAg/zh4WEImFxQCSNl8KPFrhGxMDaUtucshgMkAx8ESa0zYNZH2Tw2On1fZaH7AD6VHhUEcVaHz/FiCnw2mw22gfoefH5ychLfvn1b2lxS9/7guhHolAGw1lUx+FFwBlCDBIWnLc/Pzxd8Ceq9dCntfD5f2siS+6flNHfFHGjS1tMOB2oBdp6fn22SqT7WHYPjHFvMelJ98fk5cDPz46YlXQ2eJj3OTx2i9LL+GTmAPjw7O1uouWGAqTZzdnY2sLP6rDy2T/hiTk40BsM+2Bdzm3iVJcAPr6ycz+cLK9PAzOrydiQvPOZWYXh67XMt8LOqE6iAjyr89PTteUJMqfPnjr4Dk6BTIbq0UpdbMk3OxshLYnluNWMINknP7UIUnGm7YWg6dYHfuikVzEUjwwProwbIe/9oHYEDP0rbazYAQ9TM0jlVXmmi9LqyPQrOlU52AHeXute5cSf43E3V4j0HXM42eSoQWd7t7e2Sk2X9Zqvw0AY3BaMJC/sCABpewg7wc3p6unDfR0dHQ0KjoFeDqQJZp0/3/y6AELNAqq8suQSwdQColWQqaHF1enwtTjKVoXP70jjmx9VYOubHAaBD968KYDPgE/HG5DAI4YRQ2RneA4djHB5Lo1vDuF2auZAZbeC4yEkmJy4ujl5cXAzEAWwToEaBHC86AKmAe3FM+6Z1vbOl7g4QqBGyMbqpFC3O4kGAjIUpeGYntOPdoyqAXLkmROej3U6wGUXsFHZIxqpBJhP08evr6wIAqrJlZAq8nw9YBN0oS/f8cXqOiAWnyo7Z9ffJyclCrQ8XumpxoNtXJNOrfof75wCwL/326lKDKfpPgST3N/b44eB1fX09PP5CM0vegFRXZSr40X7ne2G6X6enmTGYz+cDM8XsEtchMPDNxk2v7nbN/rRAtfpVTEVx8ER/c20l96kmH1oIi/Pxqi9m3pX10WXr7HcBfnhVULXrdpaQ6Bg+xKSzt9xBbQ/+FufQmAemjllMMGvfvn0bwE4L/PAUdcSin+Ukn9uptqvTXryZKBhZ1psmJZeXl3F2dmaTWdbvJmXtpe7ufURe58Pfc0aiS6l1SoYHu4IkZQ+qwIkBojs188DRmh+Xiej8c8YUOPBzKOKy2sxpOACkWagydpytgepEsHTbE/ASTGZ/IKxDvgYDEbTp+HhxRRAva9ZidaXl3bLRDNxy/znpASSbEgZhLeYH7/l4ztzR17AJAFU4rJubm7i9vY27u7vyeT8KfjSYKuPAgFoBmK7g44AJB6vTdhgHXFsAJ8v+iPvj0IJn5T/UBtkfwX9ywsKiq7aq6Ssw7ZWfZd/MgIenOhj8wNdyDZ6b7mKgykFQP+vRnSZtu5BWQqTfKdBQvaJ/WR88lXh1dTWsxtSkRB9NoY8uwfUV2Cj4UGYQv8F0FjPtZ2dnS7FSazLhl9UmuQ/0/bqy9uMtesQ5GYg6OZ7K4EHu5oyhYOdcmaZlpKqOVFcqcY2KFsPqTrLO6DL2x/XfvsU5Vf3rfgN96H2jP7EpHq+qgWGCEXD7NukWBQyIGdQoNa99zQ5CH2bppizVkNnomWpXnVf9qbKr6ZGsHVk9kIIf1SfqDMDicQapD7F0295nAFenSHQaEcLBlHXOtgq9IuDzniU8badMQqbDlqPdVdBEG6paLv6ME8xsSo7HPIMA6IMZGvaz1cNK3RSl2hKvwNNnOfFeTZmvrUCO+tkK+LT6dhsyJmBrMsnv2S65/7GlyOXlZdze3sbV1dXgZ7OXLkzg6WjWo9ZWcnt4tgb/8waHXMSs4Ac2rPWzY0BidVwPA78x5if7TpU5m80Wsnl09Onpaby8vFhmBR0FhakDZgfrMhnOSDSoMT2rD1vj/7OAmBkkO/JDADpOeoO4To9xn7pgiQD0+Pg4GMHl5WV8+/Zt2DCPgxSDH/6c9/1RYKNTUBn4QZt0ftoVdGqRZnYN7pdDklWpYf4NO1xlZLl+J3vkgW6K54CtAlrtXx5r6mRZ96pTd+/KLmkhZSsBcLaQ9d22pHUN7kdMd7HNMvv98vIy+DvtB/hZrBxSkFvtlM96dDakiSvX3HHdne4JpvV1DpxmfpbB3T4la18PQwvWjmc9Tk7eCs/Z197f3y/U+rjNKt0u3WybuLazS+13TfRdWUlWIsL+uRf0OJvN+rDHLrde84NGsEHyDSiixHw0d/DZ2dmgHAVAvKpE63xwTnageM+fq/FpHZCyBazAMUa5byNUaRkeO083DemYAvweuuSdW29vb4d9fiCuvoDnt7VdmgXpWGLdMHDJQI4Lqq1prt7MYtfiKOMxogBSv3t9fbXTWOqIddqSQY/aJ87NfyNiKaCy3eLYTEf6vjrOXf/Q9Nojzs9WfczLh/E7AB/obh0/y76R/azuku9qjxj4VEy6A6cMniOW620OAbxWccBNk7O/eX19HcAP7h9xkWcwMrt07LqWnLh2Z0mCszMlF5x/dbqtaqP4WuonWjrOZDT4qZy+u2jP4NTsg5WNAjtWFOh395T2LLPMMghGqzA+PtZljRnzk91z9rlmZmOMZBPSY/iVTllPStHCCTP7Mp/PF1Yr4PyOGWB2MLu29js724qRc+AnC5AZkO3py12D3Wz8oP3ZVIg7T3a/zJ66FUDsbB3o4WN0/GdtYb3ovWXHZXrk++vVLcuuQG/lE7IAyYKgqACPs3T2xSiehZ4AcrbhZ90O6lxblNlm5WcdWMh815jPNyGVb2iNfX6fMfCvr68LoAJkgV4vAzsKZF3bWiwVJx3qh12CuWry0WN7vfa5EvPTSzVxcHTHIkDifxwH+hVgiI1NN1NTCk8HvXOILjPMGABFsPx7Z5DcP/rX9cGhsUGQrF0996Fg9vz8fGDwsJySr6P7BCnr4/rPBa3KeFhfFdvjAuMugt0hSnbfx8e/rkBh+4WoQ3VZZcvRahucnbngxvrNgA/fV/Zdb0Dah1Tt0/7R++T3GPfws7p1CPypAz7qZ9WX9vrZato5Y9VZNInq1Y3zV9p/hyYZGMZnDHwwXa2/d/aoL75WT7LE/e5szrHxDvg4UbvctH5WnvbKBlsLIVZK5EwCDBAUqfUhbu4yo2KdYfJ32kZH32WZiLZ/lfs+RGmBN74fPg7fAeS8vr4VUmL+Gp9ngZJrffgvrsfv1XE5I9bMpDW1xYbpgqb2gfufs7L3JqrPDNyjnxz7ww7RsXhVUuACtwZB1jEfmyUmbty47w5NX6swTXq8gtR1/KyyB7jeWD9bgSFXI8L3VTE3rb5ipko/36W07sV9V/2P+4Jv4+/Zz+q0qAM/ev7KTrXdFfjJpi+z+9+2rDXt1QroGgyyDN51Pk87QXFaH1IZJMRlH2pUfH60iel9N0epBt2TwY6VbQ+CyvD0szFO2IEPODb+rpWFZH2aZbTu984QsyCZgalVsktt6y7Ab9ZPVbuy36pj1d86cKeA2F1LwUolTifZ+HRgSa/v9JsBn1ZfbjtYVn62AtVj/CwHy136Wb3+pvxsC7BXsku75OtVtsI6y86pv9WpYZ2edElndo2sza4NLgFRn5v52BZ+yPxHJT33s5FpL6e8HnSeGbHrZBgdZwy6OsgpUTs+M0oYOK7vproy1OoGIg+27P4PUTLnMbbNep88LnANzkgd4OkFlKqLbAxk01o4RxZcXSDi73rkUHTe044M1LjzODtAX/dklxmYya7TAjVjzunuLdNnNQa2JZmfzcYpZBN+FjqEn60K1nGuCgDp+dG+MX5W+0H76NB9K8vYJMDFEwUf2mf4PEsyFVy1fL8bLxrfNNZWYKdXV2P12mufG5/2gvQaXHa8UwjTn0rhaUEljnMvzSheX98e1MbXqmpBtJ2r9NG+Jcs48F0LyLrPWkaanYN/0/pbSWZ0PZlHlWFkQbInqB7yGIjYXDB3YFbf4/+W7+C/3MYKGLXOp+caK7sCPXrNyjYzqewT5+DzOT+LKUvoNSuMHeNn3bUyP8v30er7Q/e1Tlpt7kmcGfio4DOOk/jNmOQy+9/9tvKz1Xmqc/Lnm9Tx2s/2GtOYDKFniFINJeJt3wMYTqXIKvhVIIYDqAZSfF8NzAxBZ58dglS6zIAsf+/e47wu66+yCf7b+kzfs9PNiup6g2bmbFrH9JxnH1KBuWzsura7/yvHOBY0tM61jb5s3Werv7Ypm/Kz/B2+z7L+TfpZvS7/boyfbX1+6NLrKzJpxZOsv7W/VrHL7HytJHCMVD59jA30jo+NLnWvGuP+53OpUTI1yr9TpOsCqypEjVOvl33vQJJrS8VorCPbNvCeQAdZ9Z5ms9lSjUBmKNn1M6ereo8Im0nq71r3NIalGCvb1GkLqPXotgfAV5+PPaZXVgVS2XnGShWItyH79rP6u035WQeKVvGz78Um9fyb9LnV9xone66H48YAsMpPtPo1AzubkJ7xsdVNDnsRWDboK6SrFB6kReFVA80Z5bqyLee4SdklM8HGUmWlrbZln7f07NoyRrbphA9JsvtUu9tExtcrmb62Ebzek1634Wf1vJvys3zNMbbakvekrwhfVjDmHhTEur8tHWTt6vmsda7eZKUaR+p/Nq3jrYKfdalqNg6XxWbMy6rOkAeNvh8zWFTWVdouDJv7srrXsd+5jHEdI2+1kY+t/u+5XnVMK9PRdr83mr7SlwuImY2uIq7vevtwHT/zXuW9+ll3/t+6n2XR+3VMW2Z7EV5vFcvOn43VXXZd1273m1Vk2/rY+uMtIFkH6XcQVaxDutl32XX0mlX7Ws68lYX2sBot2bbyxxhBlVX0ZBzKEKxzbw6cZufuzUAyWrgalz3ndW3clfQ4Tic9xzngU/XJmP7SdvSCn6yfe9mpVn/12P++5dD9bM93Y/1s71jOZNeMZdaP7pisn3vZllVYJSd6zgysrgN+HBO4KqDvkdHg51/+5V+20Y5J9iB/+MMf9t2ESTYov//97/fdhEk2JJOf/e3IpMvDlPWehDjJJJNMMskkk0zyzmR2qPTtJJNMMskkk0wyyTZkYn4mmWSSSSaZZJLvSibwM8kkk0wyySSTfFcygZ9JJplkkkkmmeS7kgn8TDLJJJNMMskk35VM4GeSSSaZZJJJJvmuZAI/k0wyySSTTDLJdyUT+JlkkkkmmWSSSb4rmcDPJJNMMskkk0zyXckEfiaZZJJJJplkku9KJvAzySSTTDLJJJN8VzKBn0kmmWSSSSaZ5LuSCfxMMskkk0wyySTflUzgZ5JJJplkkkkm+a5kAj+TTDLJJJNMMsl3JRP4mWSSSSaZZJJJviuZwM8kk0wyySSTTPJdyQR+JplkkkkmmWSS70om8DPJJJNMMskkk3xXMoGfSSaZZJJJJpnku5IJ/EwyySSTTDLJJN+VTOBnkkkmmWSSSSb5rmQCP5NMMskkk0wyyXclE/iZZJJJJplkkkm+K5nAzySTTDLJJJNM8l3JBH4mmWSSSSaZZJLvSibwM8kkk0wyySSTfFcygZ9JJplkkkkmmeS7kgn8TDLJJJNMMskk35VM4GeSSSaZZJJJJvmuZAI/k0wyySSTTDLJdyUT+JlkkkkmmWSSSb4rmcDPJJNMMskkk0zyXckEfiaZZJJJJplkku9KTnoP/P3vf/+6zYZM0id/+tOfZuueY9LlYcgmdBkx6fNQZLLN345MuvxtidPnxPxMMskkk0wyySTflXQzP5A//vGP8fr6K6DFX5bZbBaz2Wzhf4g7Xo/BcXjx93pud87sGpXo/fD1tH16/ewc2e+1fdn5VH7/+993HTdG/vVf/3XoU9cO/ezl5WVJL7PZLI6Ojpbu8fX1dTiez8e/UXG/4XZk5z06Oorj42PbjqzN/FLdZeNA37d0+fr6avt1G7qMiPi3f/u3tD3ch2PE3dPLy0u8vLwMnx0dHS31/SrXctdknbT8Dv7qvao/4eP4+Kr91Xf//M//PPIO2/KnP/1pI+fpvYee//k8PX2W/RbH6Yu/Zx+Rjd1sPLgx0GoPZBu6/OMf/7jwf+U3Vh2DrThS9UP1XW/bMt30xM5NivqOSp+jwQ8uAMfuOo6dfhYAeq5R/e9kjLN1x3JArkBO1ZZdKHhTwvebgTd1dBmIUGHn5X7jZDabxfHxcQpC+H84zJ529OiMx/MmDJbvYR9jYhPApzr30dHRQv9XMsbZu2up3qtj3W+zQP2ebHWbosCwkjF95vTeuk6PvSgQVv/i2lsB5l1LTz9sUyrQ4qTqpwqA9p5jX7IS+IlYdiwO+bmgxd/3XKP6X6/XK1WgX6Wd71UQwFwGFuGzLw1cPYxRDwBxv8/Oc3R0tMA8tAJwBtp626Hve4PxvmTb2Zbqp2WXOqZWAYS9ICjzGZlNH6JT3qVkjFqPXbfOy3/X0btrr/NX7jdZnNo1I3EokrHcekwr9vYCqFX7eRd+dTT4UScUsX522zN9wH/V+Y3JXHCcC54IrNl19dq9it0UdblpYf3pq8XQOHFgsgJWPW3T87++vk27aPaH6ZcxbW4dV+lLv993UK3antHSrfNktt2bnVe26QJijy23xtI6bF3Pb/fF5u1LNhHAmFkd+/sKAPVI5rN3JS5ecttWPdemk3Snr+x7/O/00BMfKulNTlvXaJ1jrWmv7H9uyLpInz9zYKRlBJnCOHgiYB4fH3f9vqfNfGxFvR6CaJ/0gB4FHvq9nt/V8ui5+DrOuHGe5+fnhbai5gf6a1HdPYyF+/5Q9edkHcfoAImes+d32XfVMRlQ5t9mWesYgNszFjcdXA5RqgQ2Az29wa0XdLjrjg2Ard9kOt8lGFoV9IyJHy2b4IRDAWmm/16/7c7R+90+ZO1pr+x/SJU5bpoxah3HjtUV4768vHRnoW4Qtdrm+sy936U4EIP2tPRW9Q2fMwtq7nNcVwtowfY8Pz/H09PTwNzNZot1QhEx/LaX3fitSSto9zpRN6Z7snfVcdbGzDErEIc+3bV53KziT9bJwn8r0huwxiQDDqyOiQMVUK6O/S3ocNUx6XypO0fr/zHtiwjLth9CbGvJyuAnogZALUfUexwfq+/d/3puOFL9X5mf19fXIYiOpSfXYQgOYWA48OFe+hv+C+EAxt/r76ED1oUGOy6Yfnl5iaenp+EFnR4fH8fJyclC21VWySLfq1TAx43naqxWiYv7bZU4tAJUxey56+qY4e/dyjO91iSL0hrzPeOqB6iMuWZPe3rG1dh2bVsq8LHu2GyxomxDvX3g/DnO1eNb9824ZTIa/DhUuSmF9Xzv3mdsAhykBlhd/oxaEUydZIalitZB6waY3kcFlLLvtjVQKtaFs+3MWDND08/0HFqvwyDI9TUDn8fHxyE4zmazODk5WQBNEcur9viesn7Qe2vdg7vvyontwthXCfjrgISx96SOV50qxgDALR8H/WkCg/PiGJxLC/XH3tt7lh6f4r6rztfD5qkf6b2OJs16zgps87V6dL1OorqqbAMAVqAuizP83RjdQ9hvuz7P4rG2T3+n360jY4DkWsxPJmNYHQeesv8z4IP3CnY4i3RACMLARwM//ufgmTFDVaa6jmzLQBX44G/F+GSSgQPuRz729fV10M3z8/NCtq/nwFTX4+PjAIIQ4E5PTxfu4eXlZeFa0G2v0xuTEf3WZdV+6Pmdgh5mfZ6enuL5+XnQBXSq4If1rnaK8eGCZ5V5T+KlSnQgY32GO7djDKuA23O9Tfnh9yAV+6V/x5xP9c/2xdfRF/+mRSZou7J4uil9rg1+Wsbg3rvvXGfpNVynsiPUYKovx/qw4wQAAgji/1FMm1HqqwysfUs2KBn89YgOZpcpcv8wmHl4eFgANRwI8RfH4rjn5+eI+HXK6+zsbOH3p6enC0GQ9TZWRw6Y/1ZlWwFC+9DZLicqXNOFY3UTRQU+GLNstzzmMlDO9639oH0xJqM8dFEGLhPna6vzrSLqk911MobHAaNKKqbkPUhmS/x9dpwjJMYyf/xCUsKiJINem/WoMwscO/TaGY5YV3crLXVf5RjNwNSZVINfQY46TXWcyhIos5A5zpOTk+HvyclJnJ6exunp6VJNiRrcGGTd6oexfb0JUcfiELmKA06O3QFLgxd09PDwEA8PD3F/fx/39/cDCGJdqT6hU0x5nZ6exvn5eczn87i8vIz5fB7n5+dxdnY26O709HTB2CJiKWPhNrvPMsdfsUn7AMDVuKscReZQMjvuaYf+1ZezXWZ9tKYn041LXF5f3+r3KiC/KgN06AGzAnDVmHWft0CJ+11PP7pxwD6ehWsANVjyVGfrupnetm2rLYBZHVt9X/kbRyi4sZDZgEtSMnYex2V1nOxPlKHllwO4VVv5Pp209LqVaa9KKqfhBr8aiWN3ECARQJlR4IDqBgADHw6YZ2dncXZ2Fs/Pz3F+fr6gOAUwKqoQB/QORdwgY8mMx6F5Pefz8/MCwGEA8/j4OHx+d3cXd3d3CwCIi5tVlxG/sj6np6dxcXERl5eXcXV1tfACGFKDU3DK99HruN+LVOMw+6wH+LSCYRY4K7DDf3GMuw4DWLZdfuE3CoDw+7GMwfciDrRyBg9p9VkVdPXcWpqgj05pBUy2WU0qNZgekt+NWJ9BHDN2NbZWya77TVU+otPW2UKW2Wy2NJui5SYOBGEMZP5Zddtr22uBnwpFj3EuGWqEVMwOAiMHWWUTlEbnDkXdCFiEs7OzOD8/j4uLi4W6g+z5UT19ccjiQIsLiA7xaxYGgb4eHh7iy5cv8csvv8Tnz5/j27dvcX9/vwBq7u7u4vb2Nm5vb5cAkk6NPT4+DvUfJycnC6zP1dVVfPjwIT59+hSfPn0ajlPDgmjxcwv47JvV2Yb0sgB6jFLbfC52ROooYcMMgFXfzPxl11HQw8lK5nd0+4NV/NRvWRxgyQCuBiZ3Hga8+pn6ewbDGfipgia3w7EMWXD/rYtL0JWJyUBiRjjwZ5qwZGAW53V2i/f4nGs0Ffho252MAZQrgZ8qEGgmrZIpxBW+4sVOE9MlDHbAHOB1e3sbd3d3QzDVfWFUEQA88/l8eHFtCSNWzjiq+1rF2Jh9YMS8LckYG4hzWrg/paBZV09PT3F/fx9fv36Nv/3tb/HXv/41/vrXv8Yvv/wSt7e3C/qEvr59+zawPwxuOUACjIL1ga6urq7i+vo6vn37Fo+PjwvHuKwim/bK+kDlvTBElSNo3afeYxXU9Hx8DAc2ZmX1pXVfLhlydgvb1eXx+tJxu668B/33Sgv4ZH3qAmbG6Ch7kLH4OrWiDJ8GzCwhVdD0Xmx2VVklOXP+QWstGeRkMy08Va1/2T/oDAuXJ5ydnS2wty5h1fhYMdk9IGjlpe49UgVWnIsDpqJI/g5OU0HOt2/fhr94gUngYOoYHCji4uJimC65vr5eqi3BsXg9Pz8Pn7c6exWD25WhZkwP2pABHwaQ+O3Ly8swlXV3dxdfv36Nn3/+Of7yl7/En//85/jP//zP+Mc//jGAn9fX1+F4Bj/KBLi9fbjW5+rqagC6Ly8vQxH0xcVFnJ+fD06SHSH06pgAJ5oBr6rTVX+7ijgaOLt+BWD4+yyT5+M1+DGARcICffF0p6v5UuaHHSh0jBd+g+Nc5tjyR6v27z5kG+MpS+gy4KO+Lwuaytwr0NHPW0GTX7BvTeSUQeD70PvbtoyJDWqrq7Kzep+wA3yfJTewO046FeSwLevsigJbBrFISDlp4dmW8/PzJb3yUxfG6K5HtyuBn3UDumN1OMgpymTgwyDn69ev8eXLl/j69evwnr+HY0WwdYXN5+fncXl5GTc3N8OxPN3FtDrad3R0NARQzorWFQ1Y2zbOnvM74KOrbwBkbm9v48uXL/H58+f4+eef469//Wv8+c9/jn//93+P//zP/4y///3vcXd3twBsHx4elqa93DjAb46OjobAB1CLdp2dncXl5eUwHubz+UJG4YreW4yH+24d3WwzaGasak97qnvmug8dCz2gRxlaTVC43ouXuetUK5yhMrU8Dpgp4JVfaK8Gw+9ZKnbeBRoOoO48AD7M2jKw0aRGGR/+TIMmM338QqDUrUj4vQK1fQCgsbJJcK4JgPMPbLscb10ZiS5UQdyswA/bLpeWXFxcxHw+H8bGxcWFLZbGfXD7WZer9NfK0169gTMiL4RUOlxXafGqIDA9ADsIsp8/f154//Xr1yXwA+cNBTCLc3FxETc3N0M9ibZbawpOT0/j+fnZziW/B6MaI44xcHTky8vLUN/z97//Pf7617/Gf/3Xf8V//ud/xr//+7/Hn//85/jLX/4SP//8c9zd3S0YHLNFqAdSwMM1AMfHx0tFz9APs0gKfjSjqKYuq77YBADapowBPhF1ISgDGnZGLht1RepwkgA6rBtmbJn9YfCjgBs2C/CryQ0DcwY/WK3J9+zef29SMT38V79X0STVbWGhCxeY5dMEmGtFlDEAQ4DkB2wBb1ALtghJKjO9m05Ye2RT7H9PIlP5NOfzFLCwzXKSwjMpCnx441k33cn2C9YeoGc+n8f9/X1cXl4ugd+Xl5c4PT1duBc3RrNi6FZ/rcz8jHH+Lrt2dQDOgBAYoQyAnM+fP8cvv/wyFNMyEILSwCRg8Cvrgykv1IloZgPwo7Sc1o84ihHvx0imvG0ZaZb1VddV4BMR8fDwEN++fYtffvllYHv+4z/+I/785z/H//t//y/+4z/+I/7617/G58+fF/qaDU4zCBds4cyOj4+X6oEYIAP4XFxcDIAV4JXBz9gguA7g2WeQbY0jpb/x1zkyHA+Hw9kiO0Q4UDA9ADxg5RgAMfPDtV24FgIbT3dcXFwM9s3HRyxuWnpycrLU9qqftj0OeqXluB3L13tOzZ75fPqeRRlALWLnqRAGswqIdYrTsf+4BoMfZgseHh5iPp/H8/Pzgm2zb0aSisUPaLuCoG1Lry7d76qpMf5OFxfgexejcA7EYWZoeXYFRAPsFjFVp7t4elMBEN8jEwlYpYvFKsz6O+bXsbYZm9crW1/qrkamna41AexEFfiA4QHo+fnnn5fAD5Tlprx02uv09HSYxmIGgWuC2OAQTDGF4pZOR/i5Wu6DVl/xebYpvcwAv9c2obgZ4Odvf/tb/Nd//dcAfv7jP/5jqPf5+vVrPD4+LjgfpcrZYFg4a1Hnq4bLdCpqf1h/WTbYAoPcZ781xkD7lh2p23QQeuJtC7gej5mdbHo6W+XHYCar99Bag4hlhgi/e35+Xtr4EMdn/eC+HwM0DkmyMVzdKwsHIq3fYUYHY0DBD4Mj/qvgx212quAHqzuVbYBuuQha68Y2ETB3LY44cMcwoaALdQD++N45BmtJCc+sfPnyZQEEAfw4wKPJkpu2ZjIBdbacxPBv2F71he85LozV59amvdTY1KnqUuZsFRfX8GDZNIAPwA8UxE717u5uwTHCiDA4kBEeHR0NAOvi4iK+fv26QK+DllMKl3/v0Ol7cZyVA+Qg4aji5+fnIcOHwfzyyy/x97//Pf7+97/H3/72t/j73/8eP//8c3z+/HkodmaGjadMKuDD2bz7ra4cm8/n8e3btyG70FUJnA26e9c+0mmY36KwfbIz1UwO4wB2zEXu7EDxPztQdqRc75MVvOrqEPzPjA+zQ1lhLI8dBUAKirK++a1KxTw4wMOMK9eEQJ/M/nDxs5Y3aMGzJkGsWwRMZgk1uEbEME0Cn8GJDnSvS6ffsz0r+4O+xHd8v7BZLmrmZAV2yjMrGlsZqLAoCFJQGhFLQJbHirK3HGu41ILBXMTywowxutxqwbMDPVn24FaEcJ0AO1RWiKPQeboLAgOIWGYRuPCWl99hSoyNktG1KiKirtB/D4bWSwsz46Kr7bSuQ6cnNPPmlRkMMHjQ8+BHMMPvmT3i6S+33YEyPL1snBrZewqGOs3RE+yybE4TGNgr0+TsRPl/R6FzINNs8ejoaCF4Iuk4OTlZKnJWkMQ1errlgdqoMiOHIL1+oicJrUC7m17g32UF7LrqFvamUyO68svt5cTn52kUjFUuUWB7rnTGgRI+GjFg1/Y7hiiokuYMHCgAYtaMGfYsWeTElWdWAH7w/e3t7cLqaa6zYr/hShcYyMJGmb3F91qzB/1jtkYJh3UA7NYfbOpebtBr/YYzMN3PRzMNpcwhPO+pe0ZAeZzBckGdZr9quC77aPUJ2nQIkrE97n0W+HSeX6cvMK0IUaOBUTJYZX1pjRVPW7KRMJWrDtjRx6yLSod834cYKCFu3GdtZYfBfaGgh4uP1XnqCi7NGhn8IEkBUNZHmrATY2YQtsnjDrs44zhkkre3twt/GQRhzGC6WuVQ7LFXNuFHmAngTF6Dmaur0+J13maEVwlljJ4mwi7B1ICJWh8kMi5Bwvhh4KNMrzK5h5yUuilL11a+d012uJ/ZZ6vN8mwK2y/0jK1I0PecWETEEvjRGjHoRYukESN001IsUGEGVxPYSpctna68z08vms2Aj4IJB4J4Skw/10IrzQKhDIhbMsk1PhGxUJSn0yQKfBy67e07yL4NLrt+1S6us1F96Kob3kqA90dCYSIHXwaSHAD5L0Trt3i5KwdoBsQ6ZcPna+nQZTCHKtynKmg7/8Xn+nKFzvhca/EAfrQeDzUDyszqo0x4appZQC6uzxwp6n/c1AteWKigj7/Q+oHvUdheuC7GJTnMFDgGnlfZKrhVHePaOu3llrvDxnVln5vi5OlPrfXSBBTvD9meVSqfzVs7qG9FfGWW/suXLwPg+fnnn+Mf//jHQh0t2B7dMy/i7aHS2EtNgTSDHxeHOX4CSLn6WnyusZ592KogdifP9lLQ44APvxTgqGE4ehygBkahNSQZ+OFNsl5fX5fo1yzI9zI+ri8OxdgqilWlYuzQJxGLupjP53F9fb2wPF0pTZybs3+0LQMqLFwLBAN0RfRu/DgGwN131WeHKg7kOMmYWQeAmFXjaWgERIAfziA5KCobxw4SutBFCW6TMwbg9/f3S9tRYHrEJTE6xr5nUfChZQLoYwa60LO+eCwoC+yyewa1WuyshbvM/DDw5VW4vBo3m3ZR3/tbArycdHJNE5g7sHasv59//nmoz/zHP/6xUJ+JGh8tXmewwgwt11ep32BmEf6cp66Pjt72bkNBe4/9KsgbKys91V0HUDZ1klFvPMB1Tl+pTwVNDvDgf6zecjQrDAZG4/aG4KkTpnhRQMtPDT8/P18K1FWfaN8cgrSCYoQHSJqtaTaGzQYfHh5iNpvF1dXVMMgZ/PA5cQ52wJqZKwDTOpSnp6dBz65uDNMhyFTwt+UQ3VTMqrIvh+umMx3g4b+cpABUKuvDS9cZ+MCJuuXsGdvDq7Rgm1zbxW2GU8dnOBf27sKUS2+S0jMGWLatx9b5V3H6yni42htNbhjo8gamri4EwAc6ZoDLgOXl5WUAta7ukwui4Tfg2yPefD18jPP5PTrUvtmWb+7VZc+xfBzHV+hNWVouagbwgX3i0UN/+9vfhsUp0Cd0yWMC54atMnvKL67J4WQU58JY4Ck0xAy3lL4FfMb2N2Ql8MMX4cySAYQ62IzlUQYoG8R8Q5wJADVm01IaTHnVh86T8goB7F3z5csXuyMlzzm7udasz6rPdi24h4i2AWqgzAApnrl1fX0dETHs2Im+535X462mEXkMwah1ShTngTHxxpifP3+O+Xy+VCfktsZnwXdup+BVHOY29e6SELZRF8Bd37Nu2VZ5N26tx8umQbiwmTNH3YRQt7TXFX7M+jhWmOsQsLpPAZYrdj5k6fUlWVBwwF59o05PMEug9gNwC4YA4Af1IDotVQVH9TsMupQ1AqjFey6WdUkuX0P/VvrfJqDlc/eMP8dQZokggxP4SZ6u5GlKTG9hM9q//OUvAwD6+9//PqzKxebAyu6wvfIMCvStswMRsVAoDz99cnKy8B5ANmPqNSZUOuy179Hgh1EdLobG8GBXAMRZpN6Yyz54PpBf/FgKBDmm5V1G09NpGuQeHx/j27dvg1PWPSbgMBg0cX9w26vr7lN4jh/Saqfq3jFx2HwMA5xBJwcyBjoZANLvtAZhNpstMBOoKzo9PV2YjsGeP7zTM+uN74lBIe4tc4zZ2NLj961/50AjwjpPdapu40LdmkJ3gtVNy3BtrufBeOECRw6MOgUW8WtdHi+AABuFQmZmffgcuk0C+iBLTPbF0EGqLDcDsXip3+HApFk4hHWtK/fAFvzjH/+If/zjH/G3v/1toTbk9vZ2IYvXB1Ty/6xnHA8mCO3k5AZsLuo4AXxcjSGzylkhtL5c/25Dl+7/KoC7YM/t5MREa6R45gK1eFjNBeCD/dj+8pe/xH/9138NOv369esC8NHnqOkmhfCp0KMDP7BP+AXUYuEvCtmrWl4nlc567Hdl5kcNszJQdqrZVJa+3HV5qXNEDNkAX6eaFsnYC+0sFHXC6JjNgGPlAaxMBgbO6+vrwlSJ9h23W/vMHbdpcQFaM0f+zn2mS9CxSo6BKU9pcF+pg9cxoXPGXOdxe3sbs9nbKj02vtlsNhg+b4cPAISND2HQGaBz4JW/d+Bxn6I22AJgLdDJwdIVE+u+XFWRq7JtunM6B0UO4gp+4JjxIFv8//Ly61b4zEDwtfn6GXuS2WdPX25LHAOQHacJoy4JZn1yohDx61iGzegGsgx8UCOCaU0OlmB+YfvKDugKW7QH19dl02AM+HsHfBhMK9BlH+V8catfNyVjmB+2PxyvflOnJ3mKl6crwfaApeM92AB+mPW5u7sb2oGyABQdc8kHykAuLi4WFhgxoQE7BNDlRAhg6Pz83O7Bxkk161D7rmLzWvFzIwXPvcjZOZCeFzuw09PTeH19HZYy8nkwMHSeUgMpAyR9MQV8dHS05Nh19VB2jxwglV2oAtTYPl1HqvNnGTH+qk64Ih/6QYGiTmtELGc3rCMFyMwWPjw8LK3Og3641gBTNDBUZSUeHh7sQ/RcAHR9waDZGeW+JBtPvcBH+137321Kyhkb2ySAJWyVx40+p0npc3Z+6vgZRMOpHh8fL7UB7cic466TjTGiSWAvW4D3Lvlk/aKv8DlWAnEhLFb/APjwiiAAH2bdAF7hD8AMcKLB7BvGFXQLPepqMByr0x9aL6bAx7E+3Ie7BLCr/kb/RixvR6GAluu0wPagzoc3n/3b3/4W//jHP+KXX34ZFiRAAHr4MRS6Wz7AD2ZLtJb36OjXfbp0Xza+D0d26JQ3L0pSydi8HtnJai+IAhp9uQxNHSaCDWf56hxdtbk6dp1G4QwSgMUVXfcU1el3zBAwQ1Q5sl0Ig7Jeh6A6QXanaP3s7GxwrjjOLXHHXwU/rvgSBdTICnVTO2QbMEQN0G6jyha1qsLtRJDZBVAdIy3gpv3tXo6dZZvRmiud2mJ2FufkQMV1dBnzw+3FdV1dUJbFHxIrt4qor2glK3w8xCUXjtlDQSxPjQAAcfBEQSxWAkHv8M/z+Tyurq7i+vo6rq6uFqabFdiAycVnnMwo6M1ihwM+WU0n+sn93aaseg21gcxfcl8i6XPTlZiyZJ0CwIKBi4ghcb26uoqbm5slXepydMRjLlYHY/f4+DjYOqYscR8OsDLgcc9k5NjBOlyljzcCfsYETNwgAAYPYCB/vHeMT8TbdJcahVKCzpGz8bPxcb2QToW5LFnPhft0AzZjflyGtkvRdlWi98ngR+lZ1EihL5mSdvVREYs7k2ptGDtIABx1gHjkgWYfjlJ1L+17pxcHEg4tuLrgpwAtAzwZ8GGBbTH4YbaFa3m0SJzrP5T1cTU/GAsIirgHTZYwJaLZ/pg+awHGXUtPktQStS8dGwhYvBKIV+wBBIEdANuDze6Q2GCFHUDPhw8fhqDJUyMKfNiWwT5h6wIOjBwrOF4wo6y/UfDD/eiAzyHonMUxPvjf+S/YCe+4rzplMItCdTB3YHqOj48H1u7m5iY+fPgQHz58WNClJiyz2WywUd6kGEkoM0bwyRGxsAM760+BD6/O1oRd9esSgEy2zvy4KSwYDZwWoz0ewNioClkkskrO2Cvwo3Q+A6KIX40fjA/mOplR6smE3b1GLKN2Pe4QpIdC5/8VADEoVYZOt6Bnhs6BLmfIGOxwlhq8HXOBc81mM8vc9YAeBT6ZQR2KHiHOYWZTOxWgy/pJkwZm0xj8YFxwcbOyPiiaZCeq0yIcEOFI2Y+499kr6y+110Nj8loBunWfVQLIzDfqfbjImZezY9sCFJlHvGXuzBIgWAL8XF5eDttLRMRSYgN9wxe7scC+hQOj7uKtKwZ1bHAf7lK/Y6/lbBR/OZbpixlZBkH8TEzWJQMfMDgKfD5+/BgfP35c0KVjankbDABdgGueKgOpERG2HkwLq/lavDK3BWR7ANDKOzz3iDaIKW2luJj1wc2zseJ43jtCr8NGrsyPLn3n4OmmY1oBQQMMF9Ph73sImJUooHDg5/X1dTAcZPbZ1JKCVZZMPzhOgZFSrLpKgMca6zrTnzOqLAi6bOM9SOZU+fteVshNG3KQQv+5TF3BDzs9Bj8IiBFvUyIO6EAq8JMVOzugfyj6HJPFqmTJiyYZGjzd6j1e4YdpLmbwAHwQKJktuLy8HFhABEPefBRjBSzQ7e3twh5s8DE6fnRzw9Zz3DIbPzT7dTbJ71V3bssH1SXvd8bPWoSfhH6w1w6Az6dPn+LTp08LumR7Re0l7FQ3DcbnClIjYgBcutqTXw7UcpyufHCPTlda7TUWADlH5IqaoDQFPgi0OM4FYs5KlfkBw6SBGCgU7cB7DcAayF3w1Pc9RqZ9uY6z25RUjIADfLxRIP5nB+uWY3J/VMFHjZ3BDmc4/Bd0vLuGy36rAJll3asY2iFJlf22QI9jgjLwA7vVxxC4XXmZ9WXAO5vNFmp9dEorG6PqZ9w0iN531if7lB6f4ACdJnKOWXWsKLN6bFe8UocXOVxeXg4MwadPnxbAD+pEsPM+inHv7+8Xpqci3lb/uCkQgB+uE8NqI151BIZJx0oFgA5VdDyrLWpZgO6Rx9OKbtEOTyUq8IEuf/jhh0Gf19fXwxQ19y+zPmqfT09PC8AH9o/x6VYEuukuBVUtXfbG0J0UPGcAKJv64robPpaZHw2aPF3FxZfqCHCsc5haL5DRiwqAxoCfKvBwm3ch2XV6nC1AIk9hQU84B8CPmx5h3TCLpwaudC47ZF1qjWvMZou7N+NaGrj1nlRHbuxUdVIZIO7p002Ijvfse/2sFQgy8FuBetiRm8PPwA9PVyCR4amRKqA7m9TEprrXQwuGrKsKeGfCQVNBjyYkjk3QlXzwrVzjc3l5GdfX1/Hx48f44YcfBvDDRbLQb0QMe36pPD8/25298YqIhSXWWH10dXW1UIirtSHsz5Ux2CUAUrvLbNQxso75Ub+YLebIQCx0if7mRxFBl6pPnr50U9PqY5+enuxUJMYPrs9TW8ziOeDDsyste+6RrYIfBwA4eLy+vlrQw8GQf4uXAhCX6TiHHRFLg8dtqKTMQwZ83GDlNrupsEOSnoBctRnIH6JgiKetHMPDnzNbVy2t5ixGt0GHYcNhKpDha2Xjo5ftOVRpgecMkI8JDMraZgXGehxPf7ldnTmzY3F2qC8urub7cCt+uB9c/xyKrsckQgrS8T5jftyUiSYqytZCR2AJUNyM6RFmCXgDPFe0rAxhlhyjJIGBDwqrAbB4GTZvXurGAPfVIUrmIyOW99FRHbptKHhRgoJYTHlhhR50CfAD4HN1dTUUrauNMnlRbTfgXjyF6VaRuedvRuS+S6Wl57XBT89AUuCD3/B8rtblZJSfFr7iWOcQ1fCdoTNjwA4iYrEIV7NL/du6917ZFesT8bZXTSvgwwln0yGsXw1AnHnh+2xaUR2wm+Ji1kdBjwt+LL0A6L1La7yxrpz+VGeaQSugqZgVDWhumjkL3DwN47YtqKahM2DX6qtDC4xjAJAer/4vK5LVpILBDwMf3vAVwTKr83FP+1ZdOXDG94ppdDBNuC4vpWfwg9rDDFC9B/CTicY6N42pm5HqTuvwuwws0adas6UF68zIOjt18ZrfKyPLix90E1pmhNlPQDK9jvXlO5/20gAZ8YYetV4EHYt6HT5e2Riex9baHqbQObhqQHXb8Wf0sP7lwZH1gaOx3XERuwFBjvVgFk2BkAM+yvTwufF7Dnp6jiyDYR1V2Yyydnx9vUb1cizie5XegAl7VACUvbKVma3FArhWlakxEIt4277fFW3yQ1I5aekBv/z+kIOh+otefWbByflVXumFlUEImrxak8EP6nyur6/j5uZmeCFQosaHi2H5WrrnlvtcQRdvtsfAh68J8IN71n7JYg/LISRBzudG5ECWEwQUqmPFHj9bTx8Ue3x8PLBpzKThxcwdL0BwMzO4vk6n6jQc+9nZ7O3pCbxjNOsyq/PLfMnYRGFt8NMKFg74qHEq6OGXOlZWtla4u06OWHxongZVfk4QP3sE11NDdS9cM2NQqs+qftu2MUJ3TodZYMDx0A0bJwKpY39gcMz8OEYuY3201kfriLgdmhFVFD//z4wkzsX3zH3hgKz73n23LXFtqcA4/mpQ0CktB4KUEYIoEMGUh2aHkIw9fXl5GUAPPz1eH5aKVSvsQxR4OUDWYnwyoOS+34WsMn64bxX4wO44YH779m1YAo2VXcwWAPzwrr+6+y/v56N+1yUwuqqMrx0RKfjhKa/5fD5cG8kO+ixjfdw43KVkY7CKpw7Icn0P9mvCVgUAQO6hs5i+ZNZFgSR0qUmqAqCXl5cBfGWPvmF/jb7G1JcWsfNY0uku/M2SKO3PStYCP+xcxjYEBsJFz6j7UbSnStZpDxipTl2xs3PzovzkYhg+Bgno2pOTky4AxMW+DFyUrjtE6aWF2Th12gTAJxMXJHumuhT4ZEyd1ou5YkB3DdZrqw94vLu+2bf0MIssmphAWqyPAz4KOpmx1ekpdd7KGMLZMvD5/PnzgkPXJbunp6eW8dX/FRi9F1mHkcym6zloMvPDTAF0w9Ne2TJzZr/Zvp0dc+IJYPv169clpoLrw5ghQKAG8MGUF5c7YFy3AuUux0LvtbL2OoKA9Yh9ffBgWgAfnsZ0005caKwAFvrMEk5lEbMX9BoRwwpAtIHrfXgRhAOIPeCnx1Z2Ou3F/3PQ5OwQ+8Q4tset+lHmR42cKV79LZQC4APwA1YDTpWZBg6kDH60yJaBGwzw0KZUdCBlAb9isQCC3Dn4c/4s02c21aVFzlXBM7NZDFxbL14dpn3j+sT1xaHIWGfuxgHbpmOA2D7Zzjg7hKNFUuOmqbnNOiXD2/TjhQDJz2iLiIUkSP2BvjA+3hsAGisK9tQncjJZPZiWx4LuxeIeW4HrPD8/W3/L7wF+AGyhXwRJBGIGXW6XYV56zWyVs+HMfnfBtLekmj1Q3SnDDSYNsYyBpK601cUH2VYTAEw8VrTejuMrs7XcDp6uRrxHO5j9YfCTLaToSdR7Yu3K4GcM6xOxXDyrmaYue1dj0mAJY2Wn54qcVXH8W6ZboSTsE8NLLBX8OOYAO5hmq0uqKaZWn21LuAC9chLcZnYUDgAxA6TTKep0dRkmMhTWEWcOSpEzTa61Wq+vr3F6erq0gqUCP7pCRAv0sz45FFmFkXLsT8X6MCurtuamnY+OjmwtAM6hTAQzvLe3t+nOtKz32WyWTkXr/6xjBUBj9Hlous/ETf2pvlzfcWaP/nLL0BUEc1DMarY4IPKUJj8sFbEgItIAyUWxaAvXFvZMjbDsSqdjYgHPIuC3zt7Yl3JiwMvbWZ8Zo8vX4HGQ1Wbx9Zn9gV4ZBGF3cOz1g8RIV3yxXldlfnAflezk8RZKx6tCHc1eMT88vwjau6LVswzEBVJko+j48/PzJuujNT/K9FQBs2IWtm2MLQTdohU1cHAQ5SmxCF93pSwO97OjTR1Y1cwG15/NFrdEUGehtT9uZ1gF6Xzfhxr8Vp2SU8YrW92l2VgFgPBb7WseE+hPDcBITvhhmmAF2AnjOg7w6EuX03OQxL3ouM76eNf6X+d6GjxbL70ujwP2GcqsI6vXz7IpLgRFnfbCGDk/P19gB3iKptr1t4e93Zf0JE8Vm1GBVzeVz2wfzq02jnOrj+ZpLcRQV3ai13Z1egBkALUZ+AGbpyzUNmxuZ0vdI5ZvQA1LDQyOSOtDdNmrAz86MICENYjqfCRYC7AGCnaUQWAAVLFbvVMlu6TiW9ThOufk9zr16Fg4ptwVGDkAhPduJQM/BFfbpM5DgyOzkMqM4fcKgJyD7QmimxZ2rNqGMWxjZpdueTqu55IOMAHQu9aEILNn2p4zWGZ+UOujIBnnccXsaqOYfmPgo+PkvU+FVe13U2ARi37YTXFGRBoooS+weFwg66ZCeIorYwdQ/oCHZupmeDzd5mLLIYKedUV1lzGbGgtVx/peAezj4+OgQ16xp7MnygLx6/7+fqg90jouXJOnUbXuCMBWE0/IpnS7k5ofiDZaKawKBEXkRbLsaFmRDJY4kLp5SJ42wdSNYwpc4AZS5fvge4S0ANB7crxVWxVUqcHqlBfTtNl0WFbro7rj6cdqObZOo8LQtf1qgMoWHJo4ANQSBXMV61Ot9MJ1NQkBsERGD/tEX7rpbGYKvnz5srTCC/aIazq/oKsCMf6QefbaW2XDhyYtAAe98PFqK6pjHMe/hx3f398P/pL1q/bFK5FQx8XAB74Y50AbsNJLnyiuz2Pk+6mSkvcgFVNXsT74LGPwYG/OF0JPbJM8DebiX1arCfDDeuVa2mq6S8HPNvW39aXuEHeMgh8FQY5md9MnWtCo37vpLqbiUCjr2sTXZENm1kifOIu2Z/1V9UnrN5sUOEo9f3Y9F+jc/WBMKIPnMkYOdgAyygJk04wuu+H6AKZStSiSnTfa57In3A/Pibf6wfXXLoNmD7WuorpTAMT26FZ+OcCrAAj9h6kqHOfGgjK0XLuAc/L9KrB2dXmsW53mUQB4SLKKz2idh+87q+3SMa8MAduO6teBH12JxNMiALYvLy+DrWJPIWxmiKXtriZEwXvVXwoQd2WbY+2Sj8+m7t0MhPrFCA8EnT4j3h434kgHTSx0Kgw2zEwez6hguwR+TAkvb9cCdgdu9R54DGjfVbIS+NHssiUZ/Z4FjAoAKYugVe8aXF1tiRaDoR2a4WrlO7NIAFBgfXhbdWSWGvwPWdRYXOawTnBQ/ekqBbzYyFzA4vMx0ATwwbJJ3beCVxBEvG3MBZqdAyfPl2tfZKD2EGUVXSnr5ewxC5JqpxFvQAeFycg8IWAMtDCWVwXxHiWZMADSDJUBs4Ie/n01xvdlv6tcd4y/YRvKdKrMA2yWEwlMfSkQhQ8GoNV6H2Xf0R7e24f39cHSdl1az/ez6T7ahKx6Le57jm+O6awSQ72+W6UV8QZ8sm0LsvIPZfFVr0gg4Z95j6jq2Ww97N2qfbvTaS8n2Y2xUXIBarayRAcFzz/qFAoHOAY+TLfxtSMW2R920jBEKA1z1ZlBHiIIUiNxUyccFHTq0oEmB1R4IOtUBWcuasSsY5wP1CkXzWabsPGmXTztgg0tYbxY2YfrOzbQ1bscmqwSAFjHjoXNpsJ0qkR1DP1xYMwodyzVhQPlFV3cNrRB2R/NUHVs6RjKsshDZYB6pArqLot2+nb2GrE8Xcy2pPUhmtSA/VFwy34ZNowgybsP88NS+Zlhyiy7+3RyiHbrhEFnFv+y+h/HdOo5WVcRMUwLc79qGYleQ2Migx+wPrPZbIn1cc9mU9ZnFTvMmHiVjUx7RfQtqW2xCWi0Ah8OOBoMK/Dj5iU1kEbEYGwAMbhexvwwJe+eQnt2dtY1FdLTRz19uynhLMPpio9j49D3jjHhc2iWrvVbCoo0m+HxwYVx/LRp0OWcVbCDxmoGPg+my7iGSAOC9kUVKDY1XdErGcXf8xudNkDfKPDJmIKsEJqLn2FD+I6DqQbKDIRymxT8KKB20wF83zhfRCx9d2iyKdbVJTdZnWV2PbbfiDd2T8GRSzzd4gZeWQS/y49e4MdoMPvTKorl9mr7s++2Jc7OeoXBiivxyF4O+Gh7It5YIAAVRzaoj8Z5mUHnchKOu4710UdpsE6ZdHB94d67Y1q6XWufnzEDpzcb4c/Z2WXMTzYQHEXn2AMtvsIKA3b+aL/WqiCTAdvw8PAQ5+fnC4Mjk96gtAthw3TfqTN0QIABEM7lnK3ToWN+qnoNXI/Zn4hYWDXgnhODtoKmB6MAPYNqR8BlYMQ0MN+zMoTcb7vOLlu21PtbZ3uuBsgVRCvzgz7QhIOdp9opT085RoJBFZ+zyow5COg5mfE5VFH9rPM7ZUmcXt0YUD/AjAT6WFn3bDGD2jUEdsiBkp/nxc8P6y2KzfzbIes7wjPy/FI2iP/PElnVtfoG/a2WBDD4iXgrH+BSEH08CgAt2Dx9NAo/R4x16u4ZfTGm7zLZ27SXG5DaYFYSH+MU5AaC1opwsALImc1mQ9AD8ox4ywSZLdClm2B+zs/P4/7+ftgTSAvPWDR4un7ZpVHy9Vx2wkGCj3HH6/1kBqtzyG5Zcpa5c7YK3aB97DR1+30udgYQ5rEEIIWpMNyTskswZly3yj73IWNBczYGq5cDPQqSIt5sG7aEvmP7ZRCjTAT0y46Qz4UtCSBZhpwFAQ3k/PcQ2Z8e0Xt0791xTp/4H7bgVoShDzUJVbvOkhltBxhYfYo7Xvw4C006Kt0dAvvTIy7AuxjpZj6y8Z7ZLe/srHEW18rYJQVGuiIXPpZ9KJckMJB19T69/ZPFnB5ZGfxUbEHrNy7g8jGqKC5qVeeaoUM+DxswZ/NQDq8OgsOF8nA90IJAuDzVxXtQXFxcDAZ+enq6ECzdIM6ckvtum8LXAkjgPuRjtG0OsLXYHlfkqsWpXKvhACwMC20G48NLY3XpJLJUrQ2JeJv+5P2j+H5eXl4WDJTHJE+R8v0fsqje1C6V1XNsj5v+YmDh+kHHDrOr+rmCI0y16OfqE1zyw+IAkd73oUrlG5TJ0vtpgVmAj7OzswW7gJ/Ux1rg3MwEqB1kSamygfDDCI4fPnwYXjzlpc+fwnX0/qv+25dkemFxbE/FlveUB+B8R0dHQ+ziGMZbtXCSgd/wGHF2mE234TeIjfoEea3JdGyU+iLtK4chenQ8Gvys6iwy5kBZBgUoMEb8VSeLNmlwxBN+8d5NkeHabNBwuFwQPZv9ulvw/f19fP36dclpuD0LHh8fl55PoopSg2319aalchjMbrjB1Xt+Z8C6/BUrQJh14cwC7eCNzxwLxMalyyeRsUa8sXgAsqBoI351wPw0ZGafHh8fYz6fD+MRLCHGg3sQX9bn25Is662u23LCapcIjuo80cf468CMjnWXXTI7oMWVCMgozMSY4nGa1Tm4a2ZO9pDE+VwnCnz0OwdiFfhgagJ1PLDJiFjwxW5FELOj0A+e1Xh8fLwQMHUKG3U+19fX8fHjx/jxxx/jxx9/jJ9++il++OGH+PDhw0Kxc+VXW+JA/zbFsY7Vcc5nckxyy8u1Tg7XgU/C9QFEsm1A0A6+ntr/8fHxwOLp/fGYen19HfwF1/p8+PAhPn78OABap1PuJ75+BoL4N73jYWXw49BZ1hj8ThuuTsplIZyJsLPlpeh8Xs7KwbzonD+/1yw24m0ek+ctESx5QOKaTOnN5/OFOW1to6J+DBLXZ9sW5yhXubYadxV0uMBVH2qI7c/RP8zqnJ6eDu95GTqDIjYwGJUui2UAhgdn6gNt5/P5wuc6HYfsk+8T53UMZdUnm5Zew2+1x41J7mtmOxUAMUjl37r6EYwdtjN98XQJVgVxQFX7csFGwRGCuzrWDDzy+Xcp6zDB6m81sdRpLvgxZsQvLi4WauN0qoTBDwda1in/1XqOiBjYiMvLy7i5uYkffvghfvrpp/jd734XP/30U/z444/x4cOHuLy8HJ7ern3j7renb/j32xJm//Xa7H8d6GGgzgt5eE8sfTwQl2xwfOG4qDsq66rqKhF5fHxcmCHh8zLwwphgRu/m5iY+fvw4MHpXV1fDFGYGfByjzP2muuwdB2vV/IxF29VvYJhAixExdB46EE5Xl6TzbxUMRXhEzddV5/n4+DgYGIKim4rhjAWFXFdXVwub9amTYGeLge2MYdcAaNVr94IeziZ4xRw/tRvgkrNQfqozjIxpXc1kUOjMtQFas/Py8jKAL1z/27dvw/Ld8/Pz4TOdisPr4uJiYVxgewOMV2eku5IsWPe2I7MTnhbhhMQ96RuBLuLNCetu25ppqo25zdPgmDloM2DWe0Db3fXAIjFL3AqKu2SGNLhXSVLF+mTJJb9gbwxyzs/PF1bsKHhS8AO/jWtqXQoviWf9wIYvLy/jw4cP8enTp/jpp5+G18ePH+P6+jouLi4WbHlTdrUL5gfXyeKgi1EKfLSY3O14rzMaPPYZvPICHwazEFwTzB3XaWFPJywc0SlT3C+zfwA/2Lbgw4cPA0OfgZ8saeJjVMbociXmp6VEJ1Wj1DnhPFmBlqsvwG/5ePxe26WDkTMVOEQYKxAsEDU7Ayj16urKrmqAM1e6jvuC75n7YxcAyF0jM0rXRj7GvecArEtg+dEFnz9/jl9++WXYawL9inO4DSQjlilcBjxcl8B1WzBYbLj2+fPn+Pnnn4dpt9fXX58Gz9NwmoE9Pj7G5eXlsLoPL75vx+htW3oZiixTHhM0leXRJIWnlfR4LZKuwA/GSsSbTVYOUdudMTsATG7arLevdymrMHpZoud0eXZ2NvQD9Mi+jJlu/i2ug98ysHx8fFzSubaTgdZ8Pl+YFgFDoEFS75PvbSzrswsZw0w59icDQPr4FmXDnZ5Z37BVpx/21zgH7BPAx8VgJST4elzsnG1YyaLn3bTeRoOfFvJaVZTSUmflvmPlwvhAv7GynXNXR8iUus4n88CDsz45OUmfHcQ0r9LrPYFxV8zPJq6h7EYWjHhJJO8JwTu+IqPAFBeDWP4b8TYVli1rZ0N0bcD10YYvX74Muz3jobYYCzolen9/P6xWgCEDpOFYZvR2xQCN1SczBa6Nme2pg9PpEIAfZnwYJDHjwABEARCySrZPB3iq6Q/nL3qD5CGJy4pZHGOgDJ7qVqdBImJBjycnJwuJHF9ba0TwPWxMWT72p6wnriFzO7Mz08/TOJmuMyD/HvRdMT9qH7ryKuItUcSMSUYcMEOrq73gA5i5xbnRh/jO6VbbG/EGxngrkuw5XtVr07IW+KlEB2d1PhgihFcAVJSvOmMERC2QVvZHETgzPLwJm8tGcV2tI2KH41Y04FqKYHcVGJ1s2yEwuOQ6Kn1uE7a5511joUvNSjib4OlGOEvd+4MpWLdHE16gj5mxODk5WWCUAGoAnq6vr4cxgQCiOlfWb9d65n7ouX7lfFxCwgkIMz+wCQU/XK+nBbPsNEG5v76+DpuoZcDHTdMx4HF+YhfOdV3R+2y10/khN3WGF8Y4prtms9kwNaX9VYEfXkAC4KN+Tv0hM/tagNt6uKXGi0PWIaTVNmXsNJbogh21Y2bsYFNsl/pS1kdJAuhbQZi2ldvLU9UohkYJALdPi+Z1pmZXelyr5idjKFSR2c041O4Gcubg2BAj3lYjKKXnwA8rmrN6R8Vz8SVPvbgpIYfeHRX9HjKTXj1CFFSq4fBcNTMvAEFcEwBmjcEP/kLHXGfFFCr0ByOGDplBUNaON8Fk5gEr0gCs4OCxl8VsNhvawudwdSi7FgXZPP4zENTKvtwLzgt6AXhk8KPOlgObSxbgNJ+enuLu7m5p4UBEDXyULXTgZ5eOdh1Ru3LSw/zwcTgfpo4j3hYTOMDICSl/H/HGnDPjoIFUWXGch5MYfQ4fM0faF2P6Zt/SC3ycDpUVVeDDeoJ/QnzKwE8GQDhZxVQnM0CqSwZoPE2NOkmwdExKZCtE0VbFBNxH8CkZ5hg7BlZmflhh+pm+19+6z3uyMAd8OItT8OP2g3D3ASVxgXJEpOAH1GLGJOG8mfNpiWbX25IWcNX/swGmn/E9MwiBgfAzfhgAPT+/PU2YN0WDkXAwZYpct0eH/pjtwTQWgyF2xHoPjq3CShN2Cqj50sJonUPfhTg7dMeoHnmsMcNQvdSxsnPj+g8GP67uB+BHM1swCQqAIc6+OBBonYMCIPU1zIa0ZBVHu6qovnrYHwY++h3+4pxINvAe7Kv2pTI/eOF6EW8rfzhYOh+Kc4H10VqQbO8X7hP+m/Wbu/d9SBbIK9HEkQGHsj+cgMDmMhvNWFhN+iMWyYAIv6cPv7gWCcJTXtgGhgGusj/8O9dv/Nf12RjZyA7PWWbBaA3SEzxbjpePcU4WUxCs4Ey48NFNs7DxwiE7BJ71izrnMbLPbGbMQHKDMstgdLUXXqi3Qa0IF4yjv2HkWiPAOzqzvgFCEES1XRHLmZMzeKZzAc6Oj4/ts+PAXmUBaNuy6vV6bBCfu1oCODh+PlDEm/NzNT8MUhFgmTUDGHYO2iUW2jZ9ueku7jcHCqtkYJvS8pnZbxyLoOdREIvPFBiiLxmwQJQNeH19eygp962yqew7wQjo5ndZMWwF2A9ZWmBV/8dnru+q3bGZ5YSPcmxPtm8ergl9KvPGSayCWf6f2wRmkZ+56PZf0+RGEx3nn9bV+9Yeb+GYoZb0ZJzM9sBYmeLj2gNQbK4GBH+5UI+dc2a87KTZwbSykSyYcH/tE+ygDe5vxDgH7Ob3HT2q9TYQLJXWgr6IxWf/cOGc260UuuWtCzQgKGWsoJp17/a84BUYeI+C311LrzNgx9HSq3M6sDV2osz8wHFGLIKfjGZHTQnrzE1PObCiINbR/I710X7LwIL6jV2Lu37LV1QZsvpRZfr4OPapWj/E/jEilopmcZxjL1jHp6enCw8wxeou7NOlj7HYt4/clPQmzg4AKQvENsC6Vdt0AIhtI2KRDNB6WW2L830MkuEjWsyeK4x3SYh+ty4AWmuH55ZjyD53zscd32J+3HGc6bHzY9GsHJmqM142XAwM5yAdoHH37Sj3fUnlRFcZVBnbw3PDDCSYNYHRMLgE8MHvswCX1XSok3Z1BzxmHGBhwMYGr1M06pCyPtxmEB0bqFuAHedyoEBtjCl12ElELB3HQRLBF9fh/me9K5vBfY/2KMhydQ0tKv0Q6rQg67ahBXzUByHIwVeyvQGcurHAv8XvnP3z1CZ+g3ofbH7Hj7PgR1lUS6HH3Pu+hMGJ2lEGvB1wVLZFk3CcMyKW/KRb4eUAK36bAVhdaq9bu3A7sHcTgO3Nzc0SsOVpTQdwx/jLsTpe+9leLJlxZMfpZ3qObFDwX32PtmWgRH+XGakr0uNaBr5OlaG22qP9uS/nq/2/yu9dtuL6VXftVWDJgU/ZI+17iBbnzWazYYrNbQjG05gRsRCMGRRrm132VTEHro+3LZltjhEHOtz9MZBREBoRS6DUOVsdO1lWmfW9slEZ8HHJDf5qYnMIAAiyzrhRPVbH8PewBUwb4zg33p0PdX6UbZmnvLD5XTbt1TsFMqaf9qFnB3yy49SPaq2i61O8NJZk9qnxyOlT2W1eMcu+FT4VoowegM8Y1qdHn+uwPyuBn1UHjAM87pUFT1UyfwaqLjNODaw8qHTLcK3l0HlWHlS6RC8DWjwIDyW7hLjBo0bEf6vzZI6Pp4l0Yy43LnQMsLHrefkZMwyAHh8fF/YS+vr161BfhO3gOaPl6+NcnOHghX2AdErOgdt9ASCVXifhbCcDoeuAZEjmZDMHyzbJgZSzXLfJpdqeC6IaPA5Bevu4lTw6vTng4gAu95n+Tm2aX1mQBnOoUyIMfPC8p2yVH9rG7XQgr5UI7Evf2T3w9xUAUvbH6Y7F+XC+RsRysqegR3eW5q1CGPwcHR0tMXoMftzGhlWsqXS0ji5XWu2VDa6KrtKGVaAnm1t0YMiBHw286hj0/Pp0cQ2QGuiY9nfFlHz//JsWA7RrI1RdVo62B/hkmYNOdSmDkoGvyvDZKJGlYrVJxK+GjEdY4PEZX758GQCQ6lbBFsBPRCzQxgiscO5wHPvcr0L7DTLm+g78ZQDI9Rfbok5JsW1qVpoxgvxYC92Pye1oi2Cq+8S47JJt1NnAoQAgZ5u97cqSRKfLjEHg4/k3vG3E09NTyqyqbUW8TalwEWzF+rhVflUf7Cu5aAnrr+cenI4c+5kxoRnoxewFlxRAcC1HBmgCws8VY+Azm82GFbB4VMmnT5+GB5kC/PB0V2tMb8sW136qe0SeVbYy4CyjZMPSYqqMDYqIpSDJgSgLzFh6/e3bt/jy5YsNkDwtE7G4j4gGPL0/7Zdq6mvX0gN2etuaOVoHfBRQwgCdoSrg0Xoh0PJuxcL9/f3A/Hz+/HnYSRq6zZ7bBeeO+8aeQ9lUHRfZa8G866NtSSvhYMkSlSoZyTJD7kN+n7WJgeHLy8tCZskMGwMfTkj4gcPofxS88w6y2V4xev+HYIsqjsXo+U0rCcl0qAyogp0sAdHEUR/zwwkC6nxms9kS4wPg07PSq7cvDkmvbrw55qpK1DO9KcAEwFH9cy0kxyuNn7wdCScd7inyvI3I0dGvWxdcXV3Fx48f44cffogff/wxfvjhh/j06VPc3NwMdVwMfrbtFzPZ2Govh2hbN5QFTAYmvE+Lm+9ko8VvtGN55Q5f6/n51+c88SMOmCFgOu/l5WUB5FSZvkPc2leHLKxL19ZsKsc5Xp060ikLBq98jmwqhA2QV3VxoSauyZsp4int0KmCar4exhfuXzNYtJenW7jWRFcz7Uoc6zMmCGSZIjM8jqXhFycsETE4YaymA2Bh5kenFfWp1bolAjaYBOhF/yvwqcAP9xH//x4Sk9bvMnbHJRE8RcUsAPvUbNqa98BCAukSC4xB1PmcnJwM9SD6yh5TM1YOQYeVZFN5eJ8lHw4IcTzEeQF2wIbDpwMY6bUZ6AL8IFnkjWh5dS78KK4LvYLx+fHHHwfww0XsDGrXYTfXla0tdW85m4yWU4NzBqrGjd+B7cEzoiKWH2CYgR9+ujgCJZgfpvA12DG1Xg1o/D5jBA7NWFfJtDLmRh0vvs+Cjf4eTvb09DTu7++XNq/E1Bf0zHQ8nDIba1ZrpNfX/nBgB2wDmIdqFQXOvS1h58Fjqmd8ZVm/TntUwEdBEBIPrKQDSG2BH1dTwBkoHD5AJoAPb6DGm6i54Jll34dmhypOl63ko5oyZpvgsck+kpOEalqSH1XjWHMkK+fn50MRLGpBUA/CrM8qGxxmsxD7lB7gHdGugeUkxIEhBQ88ntmX6gwFn4fZPH32ojJ7zJBj49mbm5sB+Pz0009L4CcrYs90tk19rvxUdyfsdMc43AwAaWbOQRPXw3ki3p5Ey4Hw5OTXW9SB45gfVjLTeUqtOyer+yY4R5pNJe3L4fYyUg6hV0BWr8GGGvG2vwfX0HA/u/0ldPqMswc4VRzPRpxloLyKxekDTBJPpfBGXbxnhT6EMasB27ZTrmyvFTT5s8r59kx94TuAHwY+WuSozKADP/ifgSvbJOtFA2i2QZ4C70NLQNxYqdrXYu0UvLgaPJ1+zkBTVo/FU18aHBmozufz+Pjx41ALwnv7uHqfzI9mckh6jKj9KqRlg+o/Mn3r+ViPGfBBXNSpTH32ogKf19fXQa/n5+dxfX0dP/zwQ/z000/xu9/9Ln73u9/FTz/9NEx5uXofvR83Fbgtfa7E/PQ0SIEJPnNK5PdOoXyMW7anin58fFx4H7FYD+TAT7YKCEo6Pj4enCyeQ6PPonHbhVfL4Hszgn3Kuu3hQAfnh2dhXV1dDTs7A6Ty5nnq/DQ7QWDjQmd23NAzA57T07cnxmNHZ5wTjA6cNlYtXF9fD6sWPn78ODjuT58+xYcPHxZWMOgmfrtkfnD+dQK6YxHcZ2pPWX2J2oCyMKj5ceCnZwoFq0oUjGYFsxDohsdNi1XYpbiMt1ef7DdZL9nUFV5uuoyPZfDj2DkujmXGHLo6Pj6O+XweNzc38cMPPwy1IDwlwjv/OtYnu/9DY3taMmaMKVh3jLkCIOgQ4//x8XHpeMcMuulMXtHFU86o8WFA++OPP8Y//dM/xU8//RQ//fSTZX04AdpFUpjJ1qa9IA61t25WAROclG5ihvcRsaB0FFvC+b6+vi5lplA+lKyZCgwWSuZ5al2ZwJk/T324zfc0AByCo81knbaxgfJUEbayv7m5GZ7ndXx8PIAgrqdym3FFLC+PzgIX9MYgCEuhtYaFjR/HHx0dxcXFRVxfX8enT5+GAj68/+mnn+Ljx49xfX09PPhUmSuXBByqOCaoOq7nfOyQMR74OgA/urzdZZnQ5+vr60Czu6LZXuaHg+sh2mEv5Z8FkIy1q6bDFChp3WVWkA4wpAXUsDkkEldXV8O0yA8//DCsAtKN73R6lPsE9/ZbF75/rTPVl86ORLzFQmU4OflXVjCrr9TpUQAf2CF8JEAPgA/8oz570TGvFfuzDdnotJdKlvW2KGgXNHk1x8XFxUJRJTM17GAZBLGRa/BkheKp4ABVTK9fXl4OxVyga2G4CoDcc4xcYbT2wy5lU5SiGinYOC1Gxb4PnD0AVOKp7hFvy2HRbzgP962jxJVhY1qWH5mhdWMaCBCs2bB19QJnrshqepZvblvHakf8ubJC2XdZtq06ZpCqO8eyI3ZZKTNIOgXDxfFcU4A+jvh1EzW3MzAHUjcFWWXP2i+ub/m4bepSnf6616sY9iwJYLCTrcYDAGJ9sc54ahrLn5kd0GLYqtB5FdZc+w3/b1t/VRvc9yzsx9wuzYiDXOfD59C6StV1Bn7dogWOmRFvvhmJCJhxxMXf/e53S7pFcsh1XLrv1qrxbx0drvxU91WOY4NGBzJgYYTLG5ZB0ZpVRMRQ4KyfK2XPwugX1wcrARSNz9EWBG8oGahW56t1GsyxQD19t4vMpnImFWOX6ZYNgzN1Bj6axc/n8/jy5Uvc3t4usC44J48Jfmgts2xsRMquuaJAN62qU6LQPYr4eAUDwC+yVl3BMCagblIq4NPbFu1H7VMGk3DEj4+PcX5+vrQ4gOt9lIHIpslYBxFvT/6OiIUnxp+eng7BFECUWQS3pLbHd2XMQhZYD0UUoLZeLvt2tXW64atbmac1Q7ADHjNaE4Ji2E+fPg3MgCY2fF+998/CscDZBR8z5lqrSM+0qupIk0e3Mi9bcawskE5VZ/VcGeCBXtj+wLyiHADMzz/90z/Fjz/+uOAfXR2XG4Mt3NDTz/y7Srb+YFNtSI+RIjBieoKnqTQ46h4szrm6QD6bvT1EMSIW2AE9PwYfpmu45oN3rqymv5Sp6AlCFdjYpKzjYPA5GywbHLM+6G8uVL25uRn2VcL+LawDnL9aVu4CtQZ8dQYQZYDY4MH8IMhykSZWqlRFfOv09SoyJnvqYWEV9KCf8OBWJCVa5IxzHR+/PRGcGVZcn/Xi2gCbBABi3YCJBSOnG6lVW+iPzTJ3yRJk0pOoqN4QrLj2g+slHSPt2Die9tAVfbxyEtdnBhD2iiXQvAoI/lMfYqq2m/V9jw91x7aC7aZl7GyJ+rrz8/Ml/8Rx0s0wsF6UFHDsjyYoEYsPfeb2cf0r4iF8I9hxLgdQNs/5ataJww4OALl+HaPPnT7egn/PhhoRAxvA0yV4QrQ6TJwDinGPotBsEowO/vJ3GbBiEIYgiOJXKLzF/DjHe4gZY/Y/SwXGOEBmBW0MKLCzK7YVAPhBZtMCQDzlkhmRttU5PKWDNdsBcOOiZ92q3Tlt7bNdBNAsa8raxO3CuGSnBF1yDRR07PqNHTMYWQRKHg9ORzqNxlMn+jsFP7yRGuzRTaH0Ap8e1mfbkgVu/O/sVsEqjnVTWwxOGLxiHDj2h9kBx5RqssirJLHxHdgBV+/jimFdf6i44/YNVlla96GJLuyHYyDOo+DWJYHHx8cLfhTXhE1lBAQ+Y1thoIwXFqxgugtxkEtCOAlRG+Rx6moj2RdpP2l/riMbnfZSp8q/0Zth4IPjueC15YDwe+z9ghUG2eZ1GcrVaRAIDy63FbvuU+GWPLsVSxmQ037chRG3gE82yJwuOYDxZxD0JRi06+vrhWWUbmVPNgXmpmE4YDuQ7OaZcS8O/DLwnc/nC4W1vKIIwEenvCpb2Jb0nFvHOdumOkAAHkxfqX5xPgU/DGJ4VR4frzrShAjXjFh+OOpsNlsCP2ASGPwo1c522DvWs+93HVwr8Kx956ZfFQDx6kZ8x6sm8X/mU/nabFMoU8DiELYbXSkJ4IMgqZvf4cWxwumNj8OYHdu32xTYTkQ9blSHWJmqgEfBD8AFs0UMVnnfOweks77WWkve6sUlhPzSDQ01+XA1m9we7pMxMua3G5v2ypx9JmgYMz/8e967hT9nJTFChsLdvKWrO1Da3QVMoFwonHcl1Y25wPg44NPbL+zgdk21j82G9XfqoHilAYAEwM/T01NcX18vbYvPq+50I0KXsTAty7Q9M3qOLcrAD/7y2OIN9HRln2MVWv12KBmpy7Aq8IP/+XucJ6PLdeVbxrAym/T8/Ly03YCbOkbBs9svRhm51pTXITGxKr1tY53hf71frukB48NF6NgkVu1IWR4IAy2whLyNhQZF/M9suU5RKkjmfsjsS9mnXfvOlrBdtNqmpADswy2cUd+jsRAvPc6dAy+ud+Xiat7ehYEtABA/mJZ16pg8bof64V36y7XBj0OS/LfVeO4IPkfmpDgz56CqU19KzTqmh8+ZzafyKjMwAMhmHPBhOpkVzMHG9du+pTJKp9MqeOI9QBD6koEGllbyfhL6UMQsC+DxoeBHC2h5jOgSWpwrYyP4tzwOWtMpLaC4bem1PadzDZrsLPE9O/Ee8OPaMZvNlurrNOAioOqiAQY/PA2Z7RXj9KS62hU7t45UgUH9qLtP1DRyUohjX15ehkcDKWDUa+pYQMLAtSAIimDjAHgAThmg6m7Oao8M6rJ+4WMPTVxQV8mSSE0iVCdsa+yreM8lBk84TjcoVbb96OhoicVjJg+xT/9HPHQ65XutkpBdgde1a34qpVY3wDfoBiwHOM36EZQATnQ5Zg/4Yaeg+/9w1s/oFzs7Q+lumisrsNR7c320a6erg7ISZeacU4xYZPIcsOV+h57m8/nSXhJKr2tbmKKFUUcsZrcwYgY/HMj5XOxw0U7OpnR/qVaAcEBx2zIWUGdtYr3xFDQHzCzQsN3g+WvM3OB73p6C26KJCDtsB344oLpdtjOA6vrt0BiDiHHjh22Nf8PF6sqSoG+en58XpjbOz88XpqAj3p7TpvaCc6GwmRcI8DYELmFsPbx0FX1syg72IZowMwPrkhL4pLu7u0FnvA0B7IHjpAIejpXoO15pzZuIOqCDv6xTtwpX47i7d0emjNHPmGO3vtRd/1ZZsU6baGexQ2aFuhUICn50Eyh1trpXEDtxBkA8BdIqbNbAj+vtE/BUUg20MU4YBqtsl44FBhaY6tAMxBmDgkd2ngxm4TR46kTnmTmwu8zaTeFU01zaX3y/hyKOMXDHQI9wZMqccr+jX8DCss3c3d0tJBC6NYUCawTWCL+jO2yT6XesuOM2qdOtkpAWuN+16BhXUO5EfSWYT2bQ2L9xIvD09LS0MpMTDN4ElgEw+2TUYWFVrO6DpqAH4wrngs93/qJla/x+lwlHj/T4jCyBcvaB79HnDw8PcXFxMQAegB6AIU4uq4VButKVyz2Q8Ov0v5Z78FMOnP2xfnr6Affco8uxOt/4UvdVBhz/Ril1da4MfBTsZGjWFTlDmCng3YKZRoShclbECs9YgBYrsGp/bVKqgajHVKi9Oja7X6V3Qcuzjlrgh3/P3zP44vGjbeDruPPyb9WAKxmbfW5DMoauR5cMUBnM8uv5+XkBXPLKS05M4ISxKEEDqTs32o+2qA/QZ+whkLqA4WwzG1+HJmP0VbGNs9nbM/Dg13iqWPd24ePOz8+Xnq0GYX04loCXscOP4i/aydfUgIlrtED6KrKr5KQnWeJ2OJ/MIBb/Y6+dx8fHhd22ER+hU9ihlhW4mMj2zLGOY57aHk8xcyxkv8nvIS0ioDqWZVUb3vrjLVRwA+ygFBFWwYvBjwKcDPDoPDefn7/H8Qp+kFEyE4Q2KMVe3TPuu9fYDil7qdrhBnEFgFjYOLLgx++roLVKX1WG4zIWvs6Y6/G437dkQcR9pp/zdAfbJK8eQmICpwsHzexsNSWN6+j12C41EeFgzu3n8cU66GUSDkHWbQ/0yNPDWIwAEKsF5ty33759W3qSt+qDH/zLLIHue+Z2Z9fxhDb3Mqw9QdEB312JrpCspLoX9Df+4j6en5+X2BfeDFG3LdBpLo7DXD/EO+ozo8OsLu+lxedg31DZYe/98/Gb0uVKj7dg2YSj0ECpGQEMggPky8vbZms6taVFr9kmTg788CDTVUJ4r5t4OZpvnb7bVUbSGkxjQJr+boxDcsf2Ah/+TDNFbV/1e20T30eVdfZIld1sUlr92HPt1thj+8R4f3l5WZrCfHx8XJjKVFaWbVFpd24L22/E8vJbTUQ0A9Vs1GWXh5RkQHqZVhYHVDl5xDGcbLDvm81mC6sbAX7m83nc3d0tPQAVflJXxKIkgKe3sucecjudD1GdtcazYw33LU4v/F2mNz0Hg1g+LxghJgd0k0PdtiDbSkRr81RfDI4YzLqkY0zdHX6n975NoLpz5meMZI7KOV52pppNVvv64HsteNY6D/7rlh5qrQEETFLr3iCHwAysKz3BRJ2T0zWfq8riNFBooGP2oMX06PsWAHJt7/3u0KR37DHI5ADLgRUMQjX97GyVrwHb5Ho8LvLU1ZU8Te2KpKuxdkjBsld0mgvCQUTHLScGvJXD6+vrgr6enp6G7J73UXPMjy4KcVt+cPlAViKQ1Ye8d6nAT3Y8+zQFsQpYoDu2D7YpLe3IWB+Ne5kNMaBxtuWOY/26PtF7z/puk3LQ4MeJdoY64g+dMwAArvZJREFUYGWHdIpLs358jgGi52JGJ3u1shRlJ1yQ/S1L5ph7f9cDWHocijt/pQsXMNfV1y7B7ZhrjW2Xs0P+jrNIZXfUNpX1YZ0C/Gg9nmalFSvbE0Tfmx1WjKVLBrIpBkxZHR0dLewKzOAnW4WJczPo1Ac7q36YJc9A8yqgx7G5h6LTFuPv2usAeVYaAH0DWGJGhG1LbdAlg1mca61e5t8zyFHAVCUgep5d+Mm1V3uNaWRv5lwhPzVsHgzsNB3wcG1VB6wZU6ZAB3gyxWp7XOGt3vcuxDlMB97GnIfFnbM63v22NwvoDW58ziwg6P+V0WZ9lIGybTvklu1kUukwO9YBIHagzMq6ZERtU8cLU/b8XDCXlSojqyvz3D3p+OoF5buWMe3KkkMd8wxcEDj5WYqtfWBwDga5CjxdWUDmV7Pg6hgQ/s69d/2wTxmT7LUSY415rAuu6cL5FATpb52/cABGdaT2/P+396XbbSQ70qAWapdt2e57z/eIPfM6c59xpttta5eojd8PnyhFBYHMrOJWFBPn8Igii7UkCkAggMwys2R8LI2TqWsv2a4La7RW5qdrIIm+84COJ1FGoIpk5eQUmDq/VYOZIYmyXfNILhOIwFXkTLC/EnBV4oxUvH1voqTsKBoXHlvNVD2Hy8fxghv3/LCT1aw0enniAdNF3q/LEAUBOYnAPo8/N88qO5CbKatJotceEK2qzufosQR8/tH1poDPEKUvADKL/Zb2yGmMiuzOA8PesXSf2qyMBMcjDLx96Pt1y9rATwnw8QzAM+qcoZQc27sZStBqJHyTlgbNdcminYcX3EoNP5J5xit1H5Uco8uxN8ERe5LKqku29wAQ76c0MdH/OXPl40bZqcce5I63qTqLJPI7zBqYvQcwTv64X8QrU+J3vE8NfKnWAC/B7KI3PX4ubniAsQuIHIp448LlzEjfqSSsa6z03jPT1IcgiI61Clkb+Ol64y0bQCwy8OaC/TYBH/48YklSsuixmkcvOb2WjOUmONzSc4yyRn1fuh8vM+UpvSpRRsnBLXfPDZ3xgcwDwCMwwOOc6idh4Kn7T2X3Hqjxzs0DPhq0SwBLxJiUbr9MWdSxImYsl8D3PX6UlJiZy/DoeQ5ZeoEf76Zc5u9WISmEjO9zkmMV+PshXH8u2+/CcuV+w8apMoSxgHRhDFK/Td0Ly5J59dnlnBdpyxqQVVLLR+TOres5DEVyID0VlHK/5314gJP3WcrceQx5aVDsyxak7sEhsbWl59I3wWddRuCyz/mYxXr3WJ5540CpLCJmmW3gbK+usqhsvC+bs2zGahOkpITiybaN07pFs+uUA4v+78OS4q/nwL2g6J1D7vPo/Eqd9pClbzBRhswbCy5Tzctod/GRXWSe4D4ESbGT8wAn/rzvmLDeI/3Pe4x1yYcAP7ksKPqsy/dethWh3tQ+hiSrOJ95UP4i2JOUw87dJ6UBt+/xFy2LPo537qV2lDoXj21Q8MMBmZez0N+lzi0K5np+Q7PLLlLqe0r3EZWXUsxPBJo1aOr9lAMtJffSpgMfT7Qs2+WaSse05PsUqPkI4zz3U937/m6eIJMz0NL3KikGImeIfZ3pooPtPLLsGzpleKX0ZemY5EpQqXsicubq1FPn1seRL1rWrc+UnXpMTwR+ILwicEkZpi/w8c531bZZErR4nDzJMaolQNbTUVfJAZ++ZYxUoF+Er1mUlOoS7/veaymwMm8FxDsv/GYR8Tq1HX+3SOkMfv7888+Fn0SV9UjV5ceSqs+PI1WXH0eqLocp/R6HW6VKlSpVqlSpsqEyWnVppUqVKlWqVKlSZZ1SmZ8qVapUqVKlylZJBT9VqlSpUqVKla2SCn6qVKlSpUqVKlslFfxUqVKlSpUqVbZKKvipUqVKlSpVqmyVVPBTpUqVKlWqVNkqqeCnSpUqVapUqbJVUsFPlSpVqlSpUmWrpIKfKlWqVKlSpcpWSQU/VapUqVKlSpWtkgp+qlSpUqVKlSpbJRX8VKlSpUqVKlW2Sir4qVKlSpUqVapslVTwU6VKlSpVqlTZKqngp0qVKlWqVKmyVVLBT5UqVapUqVJlq6SCnypVqlSpUqXKVkkFP1WqVKlSpUqVrZIKfqpUqVKlSpUqWyUV/FSpUqVKlSpVtkoq+KlSpUqVKlWqbJVU8FOlSpUqVapU2Sqp4KdKlSpVqlSpslVSwU+VKlWqVKlSZaukgp8qVapUqVKlylZJBT9VqlSpUqVKla2SCn6qVKlSpUqVKlslFfxUqVKlSpUqVbZKKvipUqVKlSpVqmyVVPBTpUqVKlWqVNkqqeCnSpUqVapUqbJVUsFPlSpVqlSpUmWrpIKfKlWqVKlSpcpWyV7phn/++ed0mSdSpUz+85//jObdR9XlMGQRujSr+hyKVNv8OFJ1+bHE02dlfqpUqVKlSpUqWyXFzA/kP//5z0IOPJ2+g+LRaBR+5/3Pwr/Fe2zP35XuYzqd2nQ6tbe3t9Z+dnZ2bDQatbblbXhfOzttTMn7m06n4f68fUH+/PPP8Pz7iuoydfzU+Hnbp/YbSbRdtN/SfeD33vWkrtn7H7rEe+hw3bo0M/uf//mfmXONziFncyXbRTY8Go2KdF7iAzzdl+6/VGCXfLx163OVfja6Nh4Xbz86Rl3OxdtXdG58Hnxcz89G16L3THT//Pd//3fp5RSL2qV3raXj6F2f6ihnOyX717HyjquvlH513yk95aTULs3SttkZ/KxDSh21Suom6HLMvoqpkhY1GHa6JePo3Qfz6Dz3e3bEOaMbgvQBCSW/8a4fv8X3XY8VBWIGmCXnWZrkRMfsEog+guj9jHFV0OD5wBzg9cAGJ4Bm1iSBOu5dzkOvwwOy/Bf7WSSA7ivz3m8eSIyAqh4vlViUJDM5e4+uKwfKFpEEl8hGgB+Vrjdu15vdc7RdkPm2OE+91j7X7umlNDuJ/vf21WWfngPQbVMZ9abKvFk876MrEOJt+zq/6L7wHH+XbPkjiwZMLziW2lAKzEbHKWH4uiSfem2p36wbAHU9dklSotUIjV08ptH4lH7mgdtSHXW15WXY5crBj2YYOYmytdxNzdt6++pz7JSoY+2CetclfR1+KlP2AkxO+rI8uXOZF5h5vxtCthiJF+why7rvSgJM9Dt8HzEEJb/3/u+royHZ5qolB0K896X7jNg87zs9bi4BmRfAdGWb5zlG6thdflvit7tez7wxAPvwdKvsXXS8kqR2kTpaOfjpGhhLKbjUsbp+13Xbrsb30ZxsKuguStRwovf42zdbLDmPvsFgVbIK0MOOrgszqr/XfZmVOe6UHyjNXL1j97mWTZbo+j37WcS4eOM7z/3aJ0D2YZsXJV1BSReW28xn63JMXt9rj3yvdw19jrVsZm4jyl5RRp/KKNYhKYPaBofaJ4Ppawy5bKoL/drlPEaj342WH6Hs1fcaFhUYI32q00sF49JgEH2eYgu3RSJAP49OvfHNZftdmGjeppS1+mjilQ5TNqXv5xkbDzT3lShuLjuebwT4MSs3jGi7eWr6JUrw6qgRa/WRDdIsHVTVafWpFeeytnnHt5QlWMSxlim5sV/kvvtISb8Hf59iDFLnl7ruIetvFZK6R9TWSv2g7q+khOkF8uh4XcspQ5AulQ5Iyf2uwGcdoseOzjN3Pan7YxnXt1LwU6rYkotM1fhTjrOEKueg3PWcctnsIpDyomQeulMlRT9H18xj1aWU2dUBe+cUnUcO2AwZwKbOqQ+zYzYfWOgDsEqyvlQpoER/pdI1EG2qpHxSzi/m9tslWegCgLA9tusDylYlfcZMfxddY9+Y0lWX0bnmjsHb9ilTL9PXbgzzA/EcX5e6r3dzecbZh5WIznfIAXNRkmK7+G9KuoKW0n3lzqFr30DJfj5ysCyVlMPjbbp8rvstGdc+fSGbLN592CXwlO6/BCzl9o+gHukzFxhLZRPYIYjaTYkv6ntNJWO4CKa7NLlMHXvRsnHghwUAJUKYEegYjUatherwWWq/84KXkkDwEWQeZxr9z3ospd5TbGDqWPz50J3k0KWEoekzzhooo1JzxA53YRS869g2icY78p0lbHuOPS4plZVumzvuKsXzQ944Rf5qEfck+8cuCWcf1jQFutftY1cKfiI6XSm90mwuUmIOAEW/xbZvb2/NC+em+5mX0k99z+fpfb4oyWVZpdlHyXFSIMP7622jWWJ0zrqaNv82d43z6Dh1D6/CyHMlhdS2kaNdBIPl6VZtzjunaF/R/iIGN7dtTlIBa4jigZEurKf3fSoZzI1nyb2HF2yXbV1XctbzURsvuZ5VSum9kvNtKdYkAvrRtimfzNulEs+Ur07ZepfxiM4r2qZLzBo081N6ISkl5gbKy2YU/GAVUjNrve+jnNR59nVQQ5aUUernJdlILjuC8wSzh+0U/ERMQS7jKgXpQ2L6Fnke815XqW6j46Wy1ij4pQBQzpaj89gUKQ0Onp2mkkTdRxTgNMhGyQpeCmpGo1Hjh73z4+0iG98kyfkfszhWMHjk33nkQino9T6PAHFOSgDzKnU2WPDjDWw0MGxwqugcaPIyGjbEHBpflGyiobJ0zf5YSg1b9+H9n3MAEZtRygjxtp6jUodccv2bLF5A9P5Xx6e/T+3fA8clviHn8EsAkOpzU/QY6SUSXFv08rb3bCmVwHn28Pb2Zq+vryH44WPpb71z8Z6Z2GUchigR8NNr4jGEeKyZ7lPtkn2dZ3PqZ9Unqj15/jJlS6vS1WDBj0rKySrwyWX3/ILhsTJxE5n9vnl2d3eb/aUMrMThdHWey3S4OcDSZT8l+8sFrCjAqDFGgSwFfqAz1l2OKfCOrwbcBeAMOXiWOthURphKTqLfpP7qZ5Hu2S7h7HPHzJ3jkHVVKl1s27tWb7w1yEWgU+0R++Pt4WcV/JRei9ox1t9SG4/21RUgrkNK/QvbCcbbS9xTQF/3E72YqdMyJWzQSzi5auL5Uj6H6LtFSmfw0yVgLiq4RqLAB59FqJ+V9/r6aq+vr/by8mIvLy/NewY+UNje3t7MU94jgDWPwiJwsMwx7KrPrhKh/Sg70GNxhsiGlzNO1RWMUl8lDkGvXZ1nyW9XpctIUiAvFfhLHG60f+/4mlFq4uE5X9U375P1y59hH964l4DU1HerAEXz2GUU9HWbnETAIQcuvEBZGkQ9cKvn4wVUAB+OCZF9R8nNsiSX9OW+9ySKcfzeG6/UvaEAikEp6wexEy+M3+7uru3u7jaEgfpaM8smJ96YqH5SttxFj2tjfvoYZ0rBJfvkTANg5/n52Z6fn+3p6cmenp7s5eWlZTz7+/u2v7/f+oyVycdOKclsc0sf8zrS1JhEv/VucNWfGqXnQGGUMEiwePhOwTMfO8qGU+cYbftRpYv96XaajKguo+CowQ96ZRDEx8k5++h6PqKkQLD3vSYsJUHUzGZ0B/1GtuuBXu/cNZmBbfO98fb21mKB+MnxubHYZGEQyP+X6MusDXqUGFB96nfQxd7enu3t7TXvYZtaPeFz5r98Lvy39Bq6yFLBT98T9YDEvMfxWJ6Xlxd7enqyx8dHe3h4sMlkYs/Pz43R7O3t2Xg8toODA3t9fW2OpcxBiQwxEHbNeOZxIH3uBTVGNkpl6tiZcrMzB0cYJl6RIXrngb+l9+YQ9b1o6QN8IKxb6DNysvwdjoWgBwe7v7/ffMcsQBTMV8XGbaIoe8af819PPHvFZ0g0oVOPgdEXPvfArgZY3k7ZZs9mI+ZznTJPzFSQ1wX0KOABMYC/bJu6HcZ2b2+vIQvwnv+yvlOsuwLheccmks7gxwuAi9jW+21OFB3qYDFjwCwPlPr09GSTycQeHh7s7u7O7u/v7enpyabTqe3u7tp4PLbDw0M7Ojqyo6OjZn854JM69yEanCfeOHqGNE+Q944BUUPjv9CfZiXav8XOEkaJ13g8bumzhCXownCtA/z0BWQaKEp+o8cs/Z2CHtYl61PZWQBdM2tlmdDnwcHBTLlDzzEF3rtklfP4tVLp6mchqbJRye9z30XgBHqN2gjgb5lhx/4ZsERlMLZl1vt4PG6xDWrLCoZKr3uRUppkphhnb5/RPvR+V13hr9oigx6uiOBz9rNst0wWeH4Wf/Hi5BO/9a5dGfyuyXpOBtvwXHqhrFzN/vH56+try/Cenp4a5QL43Nzc2N3dnU0mEzMz29vbs8PDQzs+PrbJZNIYK1OtyEAhirr5HPlcl6HIPrLo46uBRcfyMjwteSjTo9kIv5RW574tZIUwvIODAzs8PJzp60qxBOvW06okAqMpti8CPZGO1dnCwTIjoMAH37NO2bmCmeUgCTv1dOr9/1F0vGxgpnrkv56NMviZTCaN/4W+tCzl9ZNAr9A72/Lr66uNx2N7e3ubAUC4F1LXwkF3mfdA7lhdgA+28+ySr1ftDj42SjD0xXFSwY8yPx74UZ/L+lKWTu1wmYwPZOngZx5jLLkhvWCpdCsMbzKZ2OPjY2OAYH1ub2/t+vrabm9vG/AzHo/t6OjITk9PG8cLAwRy5SauEuaAA8NHcLZeNoG/UcDkYKisjQd21JmyMSpTwGUSZgnADBwdHdnh4WGLReBgmcr+P4K+SsXTXQoM4TPWv+dsmbnTXjsGQJxd8vevr68NvQ5WFi9lhbj50pOPBnpWIRFLoL2TGjA9IIs2ArY9b/88m0j1fnx87LJEmKDCvUBm6ft6VcAnJyXx0mPfzH6PJeIU2yAnFepbWV9sh2qTGlP5hfNGXGS2B7qaTCZ2fHw80yRtZmELQi5xmVd6gZ+uJ+Ftn0J2rFQoE9txEI3ocVUyQM/9/b09PDw0AGgymdj9/b3d3NzY1dVVA35Go5EdHBzY6elp43TNrEG2oO5yix92RfPrkFSwz+kIf1PgJ2ICtKQVZRzR/+oc1cmyzgB8Tk5O7OTkpNVvwNQ4RJtm+2QhQw+qpeVL715mHfJvmcFjZ8m2qQwskhL026mj5oTl9fW1AbMoRR8fH9vJyUmL9VHwo9lw3zEq/W5R0vcYETNXYsMeKNSMn4Mj6w8vtldlhTg5UdvT9gTuDUJwRRvC6elpy/69MWDw4wGQdSWhqXiovkiTDrU1Fvg8Ti49ZocZuOg9lydTPXl83lySZMbn+PjYjo6O3H4v/r0moNy8vQxZ+lR3M1/ZOccC5eng4L12nXNQ1ED5+Phod3d3dnt7a3d3dw0AmkwmTcnr+vrabm5u7OnpyXZ3d+3o6Mienp4aI0UQhULRxBU1bg09+Jn5zlDRt0oEcKLsyqPJVXcwNAalzNBFGQkzPLhf+D4we2fwzs7OZn6Da1xUllESaJYppSAtd21MRXvb6qwd/tzL3rm/jvWLYInJBigvK2OLbV9fX213d9cODg7s+Pi4YWWZRdAZJ6PRyPb393vpI1XeW7Z99/GzkJwN83fMmni/8fwss+iYLIIXdOUxeVzG4vuL/bkmPPg99Bix8cre4l5QcLSKcoo3zvP8VhMOz8dyAhiVtFhnrDsFrsr6aG+lsk7MnnNpEkD18fHRTk5OWvvx7lkvni5TBtvzw47UrI0MzX4r3MsolSoH48Olrbu7u0b5DH5ub2/t5eXFdnd37eTkpKFO9/f3GwSLHqDDw0N7fn6eMbyPLBGLEzlPzkCYkWHD5GAI55kzSgY/HCQAfsAigMGD4bHRsbFGvQJdGcuhSJ/SXSnDhe3YKUJ0Vk/EEHCQ1KDJvQXssCeTib29vdnu7q4dHh62Mn+zNivLjZXezMwIqOfG6CMKJydms4APtsq6hL7u7+/t/v6+mSyizDqSEAbJmuFziYaPwwCK/fDx8fHMZ0hEOXiiBJTS9Tqk7/2lpWTsi1kz7dnxfCzrifWlCSfvwwM+fHwFnMz8nJyczExYwG/ZNpGoeETCskqTK+n5iSTKbpS2w374BmYn69F2rFAAHLxub28bp3t7e9t8fn9/by8vL7a3t2fPz89mZk2/CMDPyclJY9SKgnPZWi6jHoL0oYIV/LDDUZqcswk1SuhEjZIdoWaEPJ64Jx4fHxv9HRwcNKwBG7AaKhworxljNhsMhqo3yKLOL7pWziqZSWNAxOwAbFGzTe9/lLa4VMLMEJpakXhoPwg73YODA9vf359ZY0SvcdHjNkQp8bNqSwxItEcSgAdsOl6wW/bDXObgpljux/KAD/wCA53xeNzMxsX/aKSFDSOYesF6nTIP6IlerCvYHftMtkXVG0AQ6ww2yIkqtxWovXgv1vHh4WHL7zMA1mnx8L3cu7eI8UvJWqe6eyiSQQ/fvEz/wTEqla4ZJTtXLntB+fiMwc/r62urYY4pvNPT01Z2ivOOpurxOOC7ITnZlEOMRJmeFAuEbEQBKf/PgEcBkFLo3kwQvg44ahj/dDptGTTPTgDw4QZoNnQts87rQFehd+88U/elJ6o/BoEMcKJmdC1rwQYZ0GrfHXSsDezsuJn5eXx8bOnM7H0GGPq7tH8I15AqcaaYvq7jOK909bMs7C/xP/seBTf8l6+TS4+wS04k0SqAmbL39/cN68p9OzgPbh0AAMJxuEWBy2jPz8+NvWI5A8zePDo6soeHBzs6OmoAkK7Gr+L54GXbZlQ+TZ1Hyr8qowU/6yUTHP+8GBj52ag0hb9eaRVji8QSOsQ9wTEVhIKW1LSPyRunRcnKy16eUvV7bzCwnUflMbJlSk8drCJbLbeAIXh5eWlqycgkj46O7Pz8vNnG7H0aNWcxisqHBHa6SFTG0v/5vfb1aDaHIMj0K+sL3zFw5awhFdi9WQhesx90Nx6PWxS6OkXsMzVVtu94Dkk8+2MHqy8eVwYo2k/AOlRg+/DwMANI1ea9faPhWVlXZJKHh4czNDteUabq0ezR2HjbDFUiP6s24/VvKevDPZPX19d2eXlpV1dXzV+wPgClSEwYeIKNgU+FcNmGgRavu2ZmDajZ39+fadJV8Oyx6zn7W7ZeS/wpf5ZifNTXajzkZAMTepihQ+VDmTr1s1yS0rYAs9lH06iPZhCGmArQqhNP+Jo8himSeZKSlYKfnEJZsZ7zZSaB2R2m9GCIWLOHGQN1mtzIx7PEuJGOWR9kIswMcL9IDi3zd0NjgVgUlJacK9+8ygxw75XS5V4GotQtmpd1RVcGnHAEXEdmkMulyr29PTs9PbVPnz65zlKZLbNhsgN9RXWr3ykI0ZKhghPt/dDsHd9pJhgFZe88+N7yWOHxeGwnJyd2dnbWTFRQW1eWltk9b4xS7Ms6dBz5ltT2CmTxO/WzOtZsO+iZBOD5559/7OfPn3Z5eWmXl5dNDyV06i0yyb048JtY9Rdsjtk7W4x7COBnPB7b7u7uzGzeaGYY+wFPUva8bPFAj36vOlObhf1pmZmJAFQ1rq6uWi0fOuknKk9yawCXpvgcuKHdzGaYebb1vb29ZvIJM4J63RCddZsawz7s/Nzgp6tB4jceYlQj1G04E2HkymUtDqjM0uDcvAzfy26ZclcEy3VJRcPYR8qplo7TsiU1Fvg/JUqtM9OiRqmUOWhz6Ep7Bbi3Rx0qDBK9Oa+vry2HzsAIWRGy0p2dHTs6OrLPnz/PlDB1bHQMVKfR+KTKT6sUDUAR6OH3HthgB8fBkQMjlz909g+DHwRJsDjetHQFsV5JnAEQZmeCmeVmeL0+Ho8uTM+69emB8VRSEiWV/L0HeLQfj9dBA/DBC8wPl6fQi8OzYZG0oDTF3+MacD+Ytae8Pz09NWCG44KOCY+L1+SO7bxyzbok0l9UAtIYBRvkvjpme66vr+3q6squrq6aEiXHRu7LwrjyuPHjnaAzBal44bPpdNrcP5g8BNbn8PCwxfoqWcDxHsKLCPN2i5CVMT/eDat/8V6zPK5La/MWMk2tZ6pBckd55HS13q1T/bQWqkBB/1+3cZVIKrPVGzOiIKMsXUEkB0mmYhlcaomKezq4mQ71fTObAT8wNtYjzp8zHhzHYxr1ujdBSpxCBHr4f48xUEYAs34QGD0wq1OhOcs0s9bsHATI0WjUsDTQ3/7+vsvQQjfj8XhGr55zjcpdfM3Ybt2yKAef8k9emdFrkAXwAfj58eOH/fr1qyl5gWlDX85oNGr6Oripldd+AZMDHWKiCScYHvvP4EYfWKz+vHTa9DqAbAq04q/ni7Skz8kdYh9sES+AH3yPBISTBMRJ7p3jRUS5TwtgFQAZ1wKigYER7Hg8Hrd8PDNN0bUuW+YCP11OkDMV/gvBgkYIdtwvAkfG2aaCHy6beFPr2Bim0+nMEtz7+/utEpmnFL5hNcjzgky5fp8hOFeVVJac0rMHfNTBgsbmPh9me3RdEM7amSb3pjJz1gjdstF5ma02ZHp6Lx2vTRTvGlP/8/0MfT48PCQbX1NNzepodWo6skc4Wq+cyn13Ok1XS2NmNhMwvd4F3naINloipfeuMkLMJCibB+Dz69cv+/nzZwv4PDw8tJg6TCI4OTlpVlRnpodf0PXOzk4Dcvm7qHyW8gfan8Li/b8qPXO8y5XcIkCg/Xb8P5IR6ItLXWqXPKsSsRjJB6/KDP3xjDowMWyfOGdOOuFvzX7bk/pcZXDZVvvqpOvv5gI/feps+js+YZ1dA6XymgXcpKyNsQx4eN0AXfQMFKquCaTrx/B58YuVi1IKT6fV3gKzYZW7WDy0HSFwL0Bqz4CH4FVvyDy00ZUzO7N3HSKjhEEiC+GH42HNpen0d53ZzGYAGTt6XiZB17QoWbdJwcFHFugA1/zy8tJaPys1fZb1bPauU84uMQOIAyJYXhwXvgBgCLa+u7vbsl+PqeVr0Od96b2L42+qTtUnq69V21SbAPhBrwhAD/8Fi4AZeNAnGlnPzs7s/PzcTk5O7Pj42A4PDxtbxXlw0MTvuVSmNhgBH9w7nMTq7/ivHl/HbpmSi5cKehQAaRLAFREkJGBieU07XURUQY8CH6yezuBHy15g6pihZb/L4Ip7tfT8taLisbPL0svcZa8IyJila+i4KL5gs3bWxYapmZ9mgZy18Yqu3LAFxwfUCqVxgx1fD+9TF9HSjInP3esD4jEZimPtAlwjRogBUMQoREbL943S2PgchslGyYbITMHDw4NNp9NGj3zvmNnMvRQFy9R9y2MxNACkdsj3Ws7ppvalAQSJQ24RylQvAWZQKjvAvVqTycT29/ft7e2tCcpm7zM+cX94q9F695jnSPUe5utcp0SBUoN4F/GCqpa9tD+P+0bAIKB/DoGNV1E/Pz+38/Nz+/Tpk52dndnJyUkDfgBaOeEBOOWJI+w/OS5wiUsfocDMhMcY5cZrmTpPxUi2T/Wh+pmyPfy/liu9BEQBhj70GT4Wi/nCNnkZAcTNp6enhkSAL1ViAL1Au7u7LtPjtRvMC3q6+OSF9PyUnGTkfD0jZ/YELwQwvUE4cAL0cCOdLqQ0Gv0ukzw+PjaKBGq+u7tzp6xz0x6DKNyQ2A+cPLMXeiN3GbN1SSpD8TLHKFOJ9s36xbjCkfI2nJHAKAF+2FmamT0/PzdPd767u2s15qmj98Czsn16zt44DAnIskSgpxTsRvdsFDijninohv+yPpkZ8MDPw8OD7e7u2vPzs93f3zc9XgjW2E512OV+9K6rS1IwdImuh3WoCQGztFrCRBBFYzOazTF7kl/n5+d2enpqh4eHzexLgGVmWs3MBS1mvr+IWB9NUCO2Z1XMQh/RxMqzOa/vh3vhUuUkBpjch4VEBM8/hK/ldZkwtmB5EEtBHnByxKTA3t5eKxmJksd5gH0fmevZXvM4CWZ+vH1xYOTSipagGOgAYWJfjGq1WQvg5+3tzR4fH+329rblfPWG4RUpOehi2xSw2RRn6umV2bkcexAFEXZc/IJR8D2loAjGidW1PfADAIu+revr6xYli+xSHb3XwI5zSDlGNeChOE8+/+i8SoAA/qrT1ftCbVH1rNsytY5nc3k6hT7B9Dw8PNh4PJ6ZDWRmTTDm/j5Pd5tig8sST5fK+uhjSLQXDyUutr3xeGynp6d2fn5unz9/ts+fPzfAB8wPmqCRZKJPS/eL8/TuNfbB8OkIzDobiX0zfj8UG/Wk5N5MgSD2ZRAlEHhCAXTIwAdsz+npaWOXuno2V07AsqPXiH0xgzP877GwyvBFr2XJQnt+1OEq3ecpWQOusi37+/uNwsGysCGAbdnf358pf/H0Sq5Xvr6+NgttTSaTlvPV82GnrUAqlamo8DgMSaIAwePgBVPVpd6s/L0yZ3ihpAHnxkES34PW5oxE6W0ESzOzu7u7VmMezqWEqSgxwtT9vm6JdJWTHNOnL9WTp1ez9xWiuU8D1Dp6Q8AMcGb59vZmT09PTZA8ODhoMXns6NlOdR0oDahInlLswtADpVk3H+Ixdfxe2R68dMVfs/eWAowh+nzOzs7s06dPDfhh4HN0dNTcD0g2ORjyXy8p0fuHHy7NwVkTIk6mdNzWqWONA54fxV9lq3Q/PJY8XlqlUHadZ3R5wEfBD9vmdDptSp4oS3MlRFsc2Ld4FZRohl5f6fLbhfb89Pne257BT8QYAJCMRu0nE/PvoWAFNgiUk8kkBDPYj0790+XZUzeoXpf3fp3iBYHUthF4Tb28JkWdxs5NphxAuQ4N8AOgylkDmpQ1Q8ldj56jl4l0Gb8hiDKzno4jPeYAELbTTJxnTiJQwtkySOJn5LGTRbMzJyeYIeI5VwYyuZk/+B0HWrVFZnuHAn6ioFiyrfe9gn0GPjqBRBcFxbhwLyX0CRDrMT4APmDzFDAjiDLzpFOw4RN0FhI342pDrpa9IntetZ5LEqcIiEdgSJky2CbbJ4NXACBmYMGqM/hBOVr7ZXlCEcdLLcdpsuH5C25JWSQAKpWFL3KYEmUOoizVUzIHKS6HQaH8OwwkO0SmzM3aa4xEDk+p+hJDy43PEBxrTjQ4pNg7BQ94wdmxvjRIcqYCXepMDm7CQzbCThj7wKy7HBBTIO1lHl1B0FAlBXy8TDIHZCHafMpZOfTOvRy6xgt0eXZ2NgNmwRYha8S5KfDRwMgzVDQ50X1448Klkk3VdyQee8egQx9B4pWkAEwxrrzyvTY5o1+E2XZlgnEvvr6+L1zLS5Xw/cOBGkmQ9qVo4hP59nXrNsX0QLRsx8yJd23q4xQAgSSALnZ3d1t9PtzgrDO8tL2Akwktvyn4wXVxn5b2aunq0bmYvEhZ6CKH0clGQTMCQAqSWLTXBwr1eg4YWcKxwql6za9Ktyrro87Vo1lLxie6vtR1L0Mi4Bl9h+9Zb2btYMgsAcqUWhLREiVPifTAD09x5xIInKcaoTeTzMxaDoFfCoJSxpe6b9ctOZ1F//NnOQDEdqbAFrpA6YozfQWzvA4M2ycH5lxjOuyTATLPHkOCg7FJlTlXYW/zCtumSsm96AUtfsZhxPqYvWf6SCqZwTs7O2uxPUhQ2B94s7zQOKszlPgRQpjpqewEM8HaMM/3J/vcIYEgs9kSmCb6ul3UY6f+SpM9TBTAthhTrWakSojqY3W9tNTitGr/fDwvjm4k+FFhg0w5mOgiI4cFpb69vbWQvpbJOLh5GQ/PaogWYdMpgDr1T2867/z5u1KFrsMhe85Bnar+z0EQAQ/jzT0YSnmygWhPgTebQ5vNtb7srdUUTafXc1EQhGvSMeGxGRrwiUTtr+TcSwCQB36YVYVt8lhDn17AimxT+094zSCUOnWWCq8g7CUmKdCv20XfL9s2Uwkh+wYtpeB73UaBj9foHNkPB1lmwnU9GPaLbKO8EjGvr8VrRWHFdyzCh/sHkx14Gj1mkbG+EUg9AFAKelblb0vsz+ydAYrAD/sqL3Fmn4ffj0ajlo/lPtYooee+LF4bz+sTU8aQKzDaq6U+fRGsT8Rse7Jw8JMKlpED9t6ngA8HWLP3RioGP/wZ748b/KI1EdBzEPX7MDKGeNfIY8DbDFGic9Ns09vOY34YnHoNsXCuo9EoBD9RTRjnw8AnatRU+jWqO6dKmLlgORS9lmZNHBgjcMfsjZk1CYECIAU/qk8td7L9MDMTMRFRH4rZe0lE1wzSJk0vAA5FZ8sSBUceAIrKFZ7PxZhp0FQ7ZaYA/paTE044AXp4UT48yX06nTZ9RWCYGPicnp7OgGg0VkMUCKWS7FWIx7Z656XJpYKfKBHRuIl9wcaYudPEzwM9uE+UKVQ9pp5/yTE0SmbVt+sYqJQQAyXJ6VKYnxxbYOY7YGVRoowTgRWS6hpnRbLyosctYOlvKEbBj7fAngofUzOzoTndeUo4XpbFmYYHfvb3991VRs1sxjCVlVFdMpDVh9AykE013qnhe1mUjo8CwqFKSXbpfcb65Mxfl5pQvTLoNWuDH54x6ekzcq4eAEJygv3zDKAUle7pd5Ml5Xui7XmsvZmPvB9OIJnJ9V5R4FTmB8+gAuDBozOwiOLDw0OzCC3KMycnJw3wQYkt1e/jgYzUOA3ZjqN46JXAvBjLwAefsU2m/B/PqOTFFPXh4vyYKX5YtNcTqI+yyelmmbK0slcEgHJZJz5PBVT0+/A2nOUxgsSxuU7JjpXBD5Ar9s21So/1KQ2CfZmfZd8EKZCaovwjI9MGdOhKAYeCHw6WMMoogHnlrigLAQCCITKbp6yPVyJJjUH02SYI6zi6LgY/2FbZHu31Aeuj9X7okXWK8ca+OUimABBodU1OovJoilL3SkfeOHnbDEn3kd0q28OAhEGP2azPZd/L/ZVer5wGX+hfdTqZTBrgg+eE8bPCbm5umsXz4HtR8uKyF5e79J7iMSjR6zokd3zWCce56OXd3wp8mD2KfCzbI7+YGWS7BPDBYzTwtHg8SJqPFzH5fM0lCbiHI7yxLQG0K+v5yYmXdXLW4TktVq4XJM2slX14lB3/BWXH9KAHfLzjbKpogPeuJ3eNanDYHjphAKT9IQBNcK7cJxRlk9rno0FSn/nGTiRifvQ4/HfdzrJUvOwP4l1LKvmAHvkv93RxYzr3hnhrbXnMLM5JdcqNk6pbZn7QK6RlUq93SzNkHZccyP0IkgM/Zu0SF9sifq9g1rNNLnlowolnhv369cv++ecf+/nzp/3zzz/269cvu76+blgf6BbgR5uqj4+Pe086Waeof03Zq1kevKWAEMdN7AvbRLOr1B7VNnmFbrA+DHyY+cH5qd/3GB8t1fE18rlH4+BtV3IvLBX8RJI6MWVzmHZnp8n7ibI6GHe0gmnUU4BmSc0qN8nQSkRLOvOW5byMI2pCZ4YAeuJgGYEe/PV6CPSFLITLN3oekU45E9k0EORJKVD3gKzqk8GPrgWj6zcpEFEny/apwMdbcRhMntl7P4G3irsGgijQeCzBUPTcxR49Fpffl7I/ZrMzZz0wy7rkBJPHk/0ugM/l5aX9/PnTfvz40WJ90OszGo2aIOmtCcUN7dwz5smQbbfL+Xj3pgd61Lfht/r7iE1noMO2qewdKiV4oLH3xHgF0R5QVT+wal0tFfyUXITnlFmZ3LBqFqNEHkym6tChzl3p/MwaZgpA1yHr8B682AX8sMPto9B5wUiXY8wb6HNZCL8i8BMB2NfX19Y4at2ZG9e1gR1PHzZ7D8baU+SBLX51YVOGICXnkwr2qkNsr70+3LjOAZJtVhkXtk8cQ5keTk74heQETtWbERiVubQ0o35kaEC3j+17AEhBkAIffUHUfs3as414LHkJEYwhsz7o82Hg8+PHj4bxubu7a2Z4wS7R6wPGhx+SmusZ2SSJ9Kyg3It3rCP1bby6svqyKLHE4r9geLliwvZ5c3PTzM5j4MMlLwY/nr/V4+vkCpaU/+Xvut4La2F+IBHboAqFYKD4e745PLTKi2ihPsmvu7u7VqA0+72QF6bP8lLfmlkqcGCFKuiJMs/c+CxTUoxPinLV69P3XsBkfWpJk4/HmYhmqphFBIfKDXdae0awxFpDZu0G3NSS+BoUVwFCFyGpc/ScKH8XASAtUWnfD/5y8IxswnuZmfswTc4o0UsA++SSNCcoSqt74Iuv2QswQ9Nz13OK9Ovd0xz4vBlfZm371nHUEjRKJdzgjBLJ7e2t/fr1y/7++++G9bm6umoBH57dhR4ffkAq9/nkbLaPrEL3fXQZkQNqi1wCZgATMXwMWvH/6+ur7e29PwDcm9qOGXo3Nzet+MnJiZnPzKru+vrZSMeppE5lreDHk4jWU1YA4rE9Xu8ADBDTKxm9wrniuFxrhtGhxqzONDovfOdlY6WZ+aoccVeD9K6Lgw03PmsG7mUtbJicfZpZK9NHIMYDEhn0QJ8wRl6ziTMeBj+eMc47PkORRZwz3+OsTy5leb016rSj3hLoE2URgB62z5ubmxnwgyDJK9Ri5g9nlh6g4/PygkqfJGWTRJNF9pn6aAINmhxQ8RtmehAwESx5Ugl6fcD4XF1d2e3trU0mk2ZCApJOPC6DH5mBqe3QsYJyj8VLjYGXqC5b+hwnYnxgQ1qGBtBAogg94T3rkxNLzLDjxnFeeoKbnG9vbxv96YrgDJ4U/HBfXpSUzDteXWQw4KfkZvSAD69DwKCHewQAfpj5UeoOlN/Ozk5rbQnOODSrxDnpZ6lzLpG+mUtX8ShDDRCl+9EMETrRLMWjzj12QAMmZwoMfniBNIAh7g1RR6HTPL3Gas5IdFz4PPn/IQfMPvdTBGy5HyQqg+CYap88bgyUmR1AVnl1ddXMAEI/CPTJ4IdX+vUea6HXo5mmd71DkZL7qst1KJPKjKrH/jCTjt/rfhAgETB18VgGtFdXVw3wubu7s8fHx2aCye7ubvO4DDwk9cuXL82DUpl9TzXNdo0jQ9R7StQWvV4fvLiXku3QrN2gzjrgpETZO+gTNgod8sKGzBArG6WPs/DigOdHcN25+7yrH147+ImclH7GSvdAUDSVnVEraHRlC+7v75t9cb2Zm+xyDzPFDaPKK1FaNCbLBkF6DanzLnEsHsPFoINfKEcxSwQny83NGjDf3t4aMKtNdzBGpuCVGo6m6nJQ1zGJdKYAad2iOtLvVDy9R997jJ3O4lIgy/pTfeJ88IgD2CSAz69fv+zy8rKZBcTJCXp99FlPAEA6jZ7HBvcQB4LI+ardriop4fNd1O+iUpcmGfob1Zky7Gw73F/J9skJpwIfnC/8LhYzVPDjMT/qh3P3c2rMlimeTroe0wM9HgAC2EDyh4QBx2Twi32yHjXJ1DXxOHby1HZdUJbBD6/v4z3PK+VDcmzePLpbKPiZ9ybSjBuDiCDGwcyr93oAiKfm6SwvKJRLLTBCOFZvdkEUFEoyjSFJLgPyGJDUthAONGwI4/F45hk/6lg5M9HtzKwBPwxuo4cieqBHm689BgO/1evwMpKhiQe0vTIPdFsKxvmehz5BcXvsmZ6TBl6m2z2WAIvgcaA0s5ZDVTvFQ1JBu/OxveCjOkzZsDeeQ5coSVTgw0lKCsiaWVPe4gZnbMe2qUw73vOMIBwbvgFMHnp9vKfE6zprHujZBP10AdPqk3Z3d1sLfUYMEM+6grAdenFMgSyzPtyH5y0ky+erYEz7flKrS3v3XV9gm5LBrfOD9wx8eD9gDDhwKZWnvT/6TBlu4Hp6emqdB4yQn3TrrfGj551znEOUFIiJDLME4LFhcwYQZf+pfXGmgvegWaFf/IXetbSiM808AOQBHHYGUVAfks5xPvw32s4sXWqOgB7GczqdNjqFLtQm9RxYl7pirJeUcDOlPgKFH5LKDzTVshffa14Q0GvddIn0pgDUK09w34+yOpqFe8KTS3T2pbcCMIIkA5+zs7MW8FHWh/suvZIJy5BBUFfgg/cR+6N9P54uPZvQBI+TTF10lOMn9/hEPX1c9opW7tdFFvkc9BxzPUJdZeFPdfcyz777wgWbvd8sqGUi62TWJ0KO3A/E4IcfkohjemtLIONgOt07100XD8BEATKXISvro46Yt+WSE6ZKetNv9bdK4ypTxI7CawpMLZIWvU+BtiHJPDRxCuAiYHG2zwCI6XTogxe+wzl4utMeAzB6PH2WWQJmfVCaRpLC1+pdMzv7KHh2HZ8hSKR37zO2iYODg1aC4TFE2izLx9T7IFpQFoETDAZ0iSbni4uL5vXly5em3+fo6KixV1xPBHxKEoB1Sp+SFwSJBSdvABQHBwcuIGH9qS49wJgC0FGfGNs3Ax9+nl/qAapez+Wyfe3CmZ8+jsHLOhn4gIYzaz8vSo0Ra7poZo/fMyWLbJKZIwAfZB+YbXByctLUmlP0mypLlZm7do+GX6Z02X8J8NFt0AQZOSimR3d2dppFzsysZaj4H4bJxu8BXc3qOWhCx1om8UCtXlPXMsmqpauOSvfJ9sj6wV8sDIr+LdghAiF0BltjRlenvfKCh/yAWggvQ3F2dtZaioKZAabMzWaZnhRjUCLLDqpdwZiej/ohTgR4aYKo9Oz1cPD3fBxOUmBHuC90PS7M7sJ5HB0d2adPn+zi4sL++OMP+9e//mX/+te/7Pv373ZxcdHyv7hXmFWOdKjJ2zqFfVSf36kgmdvff3+QK1c/sI02FvP3np/U19vbm9sygP0w+OH9MKDmJ7l7z97TsfFixLJsbZANz5yNce+F2ewqs/wdMg6l/6AwnlLLTw4GCOKaMxru1Pi884XghsDnDOB4G++6N0Vy5816YrDCxqfAxGu2454ABqj4i2Xw2Yg8AIR9KL2uzwfy9OQxPqq/IemxNOOfZ996X2ughD3x40fM3qfZckIDvQEs8T3CTAKfA8APHnkQrf+iwQDv+f7k/Q5Jj2Zl9xcHDg4SXgKmAVNBg7Kt7Md2dnYae9R9cxCET316emrsX5+/x7/f39+309NT+/z5s/3xxx/273//2/7f//t/9u9//9u+f/9uX758aUpeur5aCWM3VObHEy+xSjGWADfQK/tPxEZlt/le0J4vtW9l/RnIggSA7j3WB4wPQA/Klt6MTNx7HgDT3stFytrBj4fONYDyCzOE8Bfbmb0HRG6yAviZTqetmQhwyvv7+w1axQwvgB/MNDg+Pp4JkF5w1JILL9CIbTzHNFTp6zzUqUaZGW5ur+wEY2DHCyA1Gv0uqcC4VS9aLoMudIYQlzPZqapoxquOgrfjY3qfL1NKgWnf/Xp6RPl5PB43+gFogXOG8+TZfBAwRdAj60FZBvT78MMuERxTDxxO+Ze+Y9M3m++6/y7nkQqYsDOzdyDkJW4MgDjIMvuGfXIAhJ99fX21x8dHlwFS+xiPx3ZyctKwPv/+97/t3//+t/3rX/+yr1+/2qdPnxrfi3Pkax0iaO0i3j1Ucj9x0mhmrV5UBrmTyaQ1AQA2BZvzkjm8Z1bW7L2fSycUqK9l4KWsjzI/fI/guLgGBj7Lks7gRw1sETdfRE+qQrAt6Dg2gul0Gk6hg1MG+NGnfWPdEF5VFA136CXQZ6Xo+bKzxg3mUdFDAj+lhub9ppRl8DJMPq7XuIjtYMgMKOGEmfnhoKkAFMAHJS9uZtcG2Ui3et4lWbmOwSoA0Dz3k2Z6HoDQ/XMvFd/zADsItgiA+FybodURRv1euvL62dmZy/pE56tjFd3bvE3qu+heWYR455a7nggAsR1wcOF9e+UL6FZ7I3mfDG7gl9WemEmC7O39fnYXen2+fv1q379/t2/fvrXKXePxuGHytE8lAkARAIy+X7Yf7uvzU2DWY0b4O242Zrs0+w1QFPx454xGabPf/ha9O6lkEb6WFyFNPSYKv2ewnRqvXAztMtZrZ34iYWPmi+BgyBcKSh2Dqmt9cEaKTnU4bM4m0edzdnZWzAxso3Rx/Lip8Tu9QT2Qa/ZOz7LjxPunp6eZejb2z7/3shCmXqMZBOosNTtbN3AdgnCmqYCf+27Q+2PWtl9mGDhQar8XhBc2RLkr17e1THZg1fdAit3B+eg2UQYNnTFzpz0+CKDcd6V2wCsJp2bjcCnSzMLZXQpoI53irwdqhpRgdpWIXIgALQNb7oPFZxh3LnOBoVMbYz8Hu8W98/z83NiZlqj5nLi30it5eeAnmgwR+eVFxeDBgh+zuPkJhsvKS8324uXbtVsdN83x8XHT5AzGB1lHhD5TQTNyuh81cOauiTMVT3/srDVDYbDLS6jrNHU1RNC/CJoAPqkHI0bZpJ5jld/COlVHDTs7ODhorQ/DU3CxHYMkZiGwT13RmRc1jHSp5xl9vykJTcl9F93PCDTaQ+EFTWb0AH7YDvmvmc3oUQOrls54EVmULrl3ixNOSCpp4vvOS1A3zV5zAJdFx4TLXtgPz8KbTqcNm6fAg/0sJh6Y/Y6tWlXx7A3H5QcOw+ey3+VJLp7/1+vqOgalslLw0zfw803OwZNna2nQYgXixY4VBgqa7uzszC4uLuzr169Nox2MMLqWFAW7zIxzaFJ6M7IThg4j5geOmXUFPWM5fc/pMXDiBSt1hpf+PkelR9f3ESUFErzgGtXmoQPoEL0GYF/hbNFPwGuJ6ArdWP0XpWl+yrf3SIsuwWPIwdID3CXZr3c/ey9thOZZQvv7+6010mCHOs2ZAyyvwYXtYcuYNHJyctKaTfvp06eZB0gz48NB2UuIdbyGxvzweeeSZi8J5O95G37PQJNn2Zq1JyWMRqPWmms8MYBZV2V9tI3EuwZmfXStPK/k5YEfvi6991MJaR/pDH5UeV0P3iV7jm4SzlpQ7vKMAOAHixlibR/OYnZ3d5vplt++fbPv37/b169f7ezszA4PD2fW9lEj1MCpNVj+Tel1r0pKziUVGLxr8m5idcQMgCLwY/bO/LDTxeesc2WRoC8YIk+L9np9ovPka5hXh6vQ+zyOgJ1tl0DLOlUwyuyBlqXhdHWhQ35IIsAPmFldgoJL01Hpk88xcp6ljnaV0keX3jl7votZIIwvfg9WALrb29trSsywRV7CgB+aqeuoATDhXtjd/f38rk+fPtmXL1/s69evTbKJHp+oDy9ifVJjh9+X6nJVSU3Kp0Z2mLoO3h5xkW2S/SPaPLS8rBUR1mv0KCC9Bn06Aq/BBQZIJyXweeNaUjFkkTKYsleX7CvKYLQEws14CoAQSLnk9fXrV/v27Zt9+fKlAT9wDHquDIL05ovOuWS7IYnnDOa5Efn6uTFVj8VOmktf+Bv1+vD+kc1yjwgvWpkql/QBhYvefqjiZd9a/2fwA33xzEwGvpiIwOAHzI+ZtWbpoScPwRLgh5mCPpk/0/8K5DZFUmyCJh1m7QkF2IZn0mqmD5DET/8G+MF+FQBxuczsvWH9/Py8YdmxmCHYH2VmddmK6Fo9WVbQ7CPznosmaZ4/4XuXAS5+h210nScFPtAjfG7qETYR067l6egRUdH16TkvQwYDfszK6n28rWadHBDVGNmxcu0TdDpnIp8/f27NNGCBEYJC5PP2rgXvh2SIixLvhvXEA7ban4XtOAvBtqNRe5ZXBHwU/PCihtxfoOAnJbzviKL9KJJjeVK/08CKewK6QpnT7H12l7KzbJ9M0R8cHMysv/X58+cG/OizvPi8+G8kmhlvup16gcVrUNWxYmCqiSRskEGR2e+nuON33ir6YH8QdI+Pj+38/Lzlby8uLprHWID50WuI2Lwu47BuWUQMiGIJJ5M8Vl5SAJDL5TDtjTWzBvhEfT68z52dnZmV1/mZe9Cr99w97/rwfpmytqnuORqzlAnC516zMztWXmEUlB5meWGFUTZEXl+Cz4kVhiwJ5+FlxdH5DsEw9Xy7sG/evrzfpJytWXtFWAWxCnA8HUe0OC9qCODDpS9dr8Ibj0XKKvQ9zzFw7TnGNfUZ60WTA9YpPgfrww8c5mUowDbg8Qcol+CFYKnrmOTOzbtHo3tpXVJS5vAk53PYpnQKNNswJyG6rAgEfVzY1ks0WZcAsZja/u3btybZ5GVFPL2VJJDqg0oAUm7sFiEcM7skipEv9cAtxpgTD95WlwrgnlfuB+L9KQhm0aUosFwM/K33eCheyyt1XauKjYNiflg8mtMLevhc2QQueeEZQXi2DBR7cHBgp6enTR+BZpPe+fBLDTKVOadAxkcXz/Aj2jP6jN97tWrNQvRxFpyJ8GMQovMrva6S7TeN9cslJirMECj7E+1LS9JITMD8mM2WvNROkaDwPr0gnQI+0bVvgs66+hGMC/tLniyCfep2/HtNTGCD+kw2LV8yy84gln1utNI6H5//lmw3RB1G91ZOn158iUAhJ5dgXvFiVp0F20YTiKBr7xmK3jP3uMUgAj6pa+UxWYYeBwt+uIEVmTyLghA1SjhXZX0wfU8zyqiHgM9FZx10zRJLspePKrmg4mXeyhp59Wldq4LvBZ7mzo133qqn2wZIVUrvyZJx8hIFfkF/YH0QLBEw4ZwRMHnldV4LhlkC9QfRNXnOlJ38qrPPruLZBv7vGlhS+2Zd6ef8HjP12M8ywz6dTkMQC58LJlZ9vD5SwwNlej5D119KUslztH2X3+n4KRD2wI7arPfAW4Ar79mJ+jiLEjYzSnoXLb3Az7JvrMjAU+fClDobJT9U7/Hxsckqx+Nxi/Xh2Qbe8t0aIFMMzyIC6SqMt4R9WaSUUL4RGIkM0HtGDZgfNOAB/GgWoscsYTiqtCWisM3aU5TZppX1ASuLgAkKH/oD8EGwREbJwRL7xfuoV0/PPcWCDE08v6L3bRd2y/uMkwztB9HeEAavDw8PzXMT8fggMOzc68M9W+jz8WbsaVlF2Rz2s3p/pUorvK91Sd/jp+JKHwDknYsCHvW5vIwBEw9INFP+NpX0pmLRshLTwTI/LDoQEZ3uUepsmAA/qD9j9ojS6F5gTDnO6HxLKNuUUX40NmIeo+f1J7y1mxgAcdkrWtmZWR92siWgdt3OcxnSNTh0KR+pM+XGWC1J8xT38XjcalbXZ3lF56/nqHaMewSiMw+HoN+UL9DkENfUNbmIEgyd8qzr9qhvvbu7s9vbW7u7u7P7+/sGxI5Go1Zf5ZcvX5Kzu7SUFjG6Gg+icmepLNvPdmVzSpL/1HXm7gFvOwW/rH8Gu+x3kSywr+VHWWBxQ30EkQfUUr41Anbe/d7Fjw0S/HA2hv/NfDCiGQFYH36IKdehX15eGsVgBsn5+Xnz5HZtgvXOLWoCS8lHDpyLFI/WZrbAM0KeTjsatZ9qzKuN6mMQNGMsZX6qDrsJ2yxPpeVGZ54ZZGYt5gcACIxP9NgDHCsSDZJ8n/FstaHptySr16Civ/GAj/diZkftDbp7enpqQM/NzU3rBfCDZmhMbcfsrouLiybZZJ/rrRDO11LCVOhYbJtEoKIETJlZyPRA/94SBvC3urIzA59orTx+vw59DRL8mM3e8FGmzsLAR+lYULGYdgnwozOAuDbJSuG/6kAj0cC6jQaZEjVWj9o2a5dKeEaJrtsEY0Tg9IBPtDJ0ybmm/u/y220V7vXhkhcvbsgrOwP8oOcnWgHYLO/Y2Xco+NEyypCka4LVF/Qw66OlLeiLS113d3d2dXXVegH8PD09mdnv2bSY3YUFZLGO2vn5+cxz2TwbK8nk+RpyS1esQ7rcW/Pcg6nf6nfeva/gl3UPG9XlYjxfixcerOotShudUxeZ16+uFfyUUndR2YsDFwdHNN9xDVqn0KIBz8soPaDjnZsHaFIKXrVyhyYKGr0s3AOVqlvtE9G1YfjJwlzu8li9kszDA8J9mb+hikeB6+csuW30My15sQ51insO/HhLFCiI9b7XUop3ztH3KXp9GVJyP+q5RGWFCOBEL2V8ONmAb725ubFfv37Zz58/7efPn3Z1dWW3t7f2+PjYPAuKV87/17/+Zf/617/s+/fvdnFx4T442rv+UjtTJqGLDNXPeudVwlRH7E8ENpiV1bWaGPRobx7bqfccL0xv98Ctnr+SDN59XHKtXXS58md7QSJnkiotsOK1EZl7CAB6AHxYYUzT8ZNnowzEo1y9Gy9SEm+7rXTsPLQ0G6U2sLNuETjNrFWDjgywC+tjtroZCJsknpPFX33vAR/Woa68ziAWq3Rjhhc/F87sfVYQfpfyHdH/uetcl87VL+pnnl2pz+nC9ERZP/R0f3/fsD4APr9+/bLr6+uG9UG/1unpacP6/PHHH82jgzC5xFtlPcUEq+RY96Ha6aLOzQPA+plOOvBsU32sJiawVe3NM2v72gj4KPMTgZ5VJxiDKnuVInw1Xp3ZBQPlchdPu2RmwHvKd4QmU8AsOlf+O1RjXIWoU/MM0PvMmxYNvXLgBPgZjUYzBuk9x6s0w/c+32Y9msW0dSrIppwrP88LzCya1nkGCZIUXsxNk6Bl6GbdwMeTXFYc2ZK+93p8tLyM/h741evra7u8vLR//vnHfv78adfX13Z7e2uTycSm0/eV88/OzppeH17Q0HuMBZ8rX6P317vWIYOdZUvkP83MZfYi4MsEAreLMPDh5SjURsH8MPDhuKrl5VR1h2VZel0p+OlaJsjRt9yUxUaKF888MLMWRcc0nfaDRFlGKqP0MpcqswGRG0v1e81SvKDpGSI3yvJ6ExwwPWpdHW0K+MwLYD+aY9Z1uMxmy0vqXL31YHSWFxgfXaQSU2dRmub7o0Q3o9FopqlZg2Zku15gXac+U8CnlPXxgA8AKJc8OJm8vb21m5sbu7q6ssvLS7u8vLTr62u7u7uzp6enBvhg/bQvX760en0uLi6aWV7Rw4X5/HMlL9blPPpZdXLaJXmOQIGnf9Yr/tdlCvSVAj5aOWGGHUmm2qcCIH4mmI6Bgh8FcMvWx6CYn5x4jA+UxgpT4IOgq85U+0Gi503lnKr3vwfe+lzvRxHORMysFcC8jERnG/C0aC13ceAEuNVFDXl6O4zXrLx/p6SUso7sZR3isXX8OTvcUh3ivlDgAxDLa4awo9TAFSUu3rOtvO30OlNjsEzpsv8UOPf0xN+pH/X0dH9/b7e3t3Z9fW3X19fJBueDg4NmdhceGcRPbgfw8VgfPq9UP0hqHEpsOZJl6bQLuPIS/mh/+pnH7nlro8Ff6uQDjqFR2wi3Fuzt7YUPjfZKXqxHj+HT6+MYugz/OVjw4wWSFCvA9ei7u7umyRmzu9B5jqW3U4swLcII5gU+uq+PIHwzK+0evZgx8GYHsUFykyyvN4EMBOcQBc2uM4i2XTjLNLMsgEVAZaeqM0dGo1EL+OiDEXkFd4gX9JRBSIGfVWSZ84rHUGmi1WefHkDVmbJgfCLgA8Znb2+veUj0t2/fGrYHCxqizyfyt8r84Bpz5S7ebqh67HJeUexIsX383vOtWtbk9Zo8fd/e3s5MFtKZmJgxDfDDySYTCnxui4yL88rawE/OYHWAItrWAz9QGs/uQq8AnjkCAJTLQiDzGFVfoxyqIfcRD91HmUm0xkS0LgyzPhw4Uwsbek6T9aTZcq5kts2iWWfE3HmNlOpUd3Z2GvAKG009jw06QxM0B1J8j7/6IE9st8zsctmSYhs9ySWSPKOSFzBk8IMen4eHh2bRWCSWnz9/tu/fv7dKXQp8dEHDiJ1KgR7drpQdGoqkYk2K+UkBINZtVN6Cjt/e3mYmH/BilYij8LXsZ/HcS9ioMj+ccHIfrTLu65a1Mj+anUXbRIHIA0D6HC9kJWbv605gxVigVXasqaDnZSr8udJ6Q1DwukWBBQcbBUCanUQNmFH9GTVor/lODRHngZe3PkgO4GwrAGIgoYBSaXev7MX605IXpkirjSrzw/rTBxorba7A1gPB0XVCSgPzoiRVyvLKBpG/KSnXQqLJBanFDN/e3lrT2r9//95Ma//jjz9mprV7bAC/vGvlc/aAK2/blQ1bhZ+OrgnvSxkd/Yy/iz7X5JIXhvXWw2MA5JW7YKO7u7tNFYXBjz4/kZlazw67jtciZe1lr+jm0wzFzKc2tWatTxTmwIjl8pn5QenLK4t4bIC3jQfivJt6mwIki4ILHhevROIxQBxA9bEW+jgLb8aB13TH5+cxOylHGznrjyRRIGEgy9+lWAVelRs65HV9wN4gkObW4IrOlc/L20btFefI3w9Fp6nz0DFfBFCbTmdX4GYAxOUQrOcDuzs7O7OLiwv7/v27/fHHHw3wOT8/n3lsEB/Pm6kXsbAROxTZbzQGJQzZsqQUkKXeR0BQ4yQ+VwCkjLouH6IPp+VV1/f29hrAy8/xSj3MtDTZ5PFZhW9dO/hJiZcReAGIFcq0HoAPBhsPSVSUqopih8yP2MDNFWWXKh5r9FEl56j1poZB4TNlgTzwo8CIgyamXHrgJxc0I+DjBRYFtR8RAKWSEf4uKiN54EcBEMpd3K+VK3npU79Lznc6ba/6ywCIzxfvmUnaBMklWalkjIX1lSpVKuOKcpdOa0evDxqcvcfKeKAm0qUHfhQsYVv+3aboERIBH/3MA0CpGOklmLyYobeKM5ekzd4nI0DvDHwAesD4RI8RYpbWS6pS98GiZdDgxyxP93EwBCjZ2dlpskhsxzVpPB0aj7Tw1vhRhxidmwb1bWJ7ohtVP4/GKJXRscHyX+wP+gVrx6t28+wgpV5zjraLfCTdek40JwocFcRqDxACK2h03A9wqN7sEabQU0FOz8n7PuVwPVtep5SyE3qeJWyRd6yoN0QfZGn2PrEA+uKHlmJmFz8sGolIlyQkBYJ4e36xf+H369al+rwu9uXFE+/acsCW30dsECeXupQF/C1+e3BwEM7y0mVFWG9g6j2f7/kTfB5dT5fvVAYPfqJg6S3cZPa+zsvx8bFNp9NmVWcoC08VPjs7m1kq3zPA1DNncsa6aiS7aulzTVG2h8xfZ4FAv2bWgFo8PXg6/b1oJXQcPQTTzFqGzgxCFMBzwWcojnVR0vc6PKYnyuwVfPLsPDOzg4MDOzs7s/Pz82YhPAawub6s6HoiUBPpcJN0WursI9DgAR9NKM3auoLPZJ/K6/ig1MUzf3i9l8hv8nl5EjFaHrvlsSDrlFIApICnL1DyfKwXzzw/DIaHbRbfQfd4YC3bKiYVmbUXV4S/1eMCCPH552Kqd619ZdDgxwM+DHZUwWh4PT09tZeXF9vf329mI2DhrYuLC7u4uLDT09PWarEQ3Bz6RHk1SqXSU9fw0cUDeB6CZ2PiqcpscDAWXRUUhnd4eGjPz882Gv2mXkHDm1krG+GH1Y5Go1Z2A0CUAj6q91SA/Gg6LgV1KZCjmSODW2ZmEUx3d3cbGwVrED37qQSYplicFFM0ZF16163jUnL+7N/MrAV8PN2hpIxej+n0fTFDTG0H4wPgw2u9eI844HNJAZUoIG66z80BoJQwUMC28Kde4sY2xy/9nGfLIrHE/bC/v9+UwNDsjCoKlzZHo1GL6WV/qnYJX6HgNQfi1Wb7ytrBTw7d6WB52/Ey2ycnJ01wPDo6ajL9w8NDOz8/n2F+uNGZnULO0WyCga1a1CD1O2UAzNrZBn8Ph8mGycAH7A8vtz4ej5tshCl3AFyPzvXOD9IlE90GibJLFh0/dq488QD6M7NGd+gdwbowXJb2AAz7Bj6mnnPumkq2W7V4Y81/ddsu+/WCjKc3XmxyOp3aeDxukhM8c+3s7Mw+ffpknz9/bvyqLnTH4Mfrv+py3tssEQicTn+3enBbAESTDQa3Ly8vNh6P7fn52Q4PD5tJQma/Kyjo7eLfIOlEuRPghyclmLUTXY9xwjbetUUASO/9ee+HtYOflETZmyoUBnpyctIoD6zA6+tri/nhlUb1wXopcNOHivQkpcBFK3do4gELzurZMaMhjwMlZu/BYLlZD9nJ+fl5q6fL07G+lLlIsT4phiB1jyyCpl2l5CjoCCgCaDLggQ5Rljw5OWmeA3VwcGBm1vRroewFHcKpcpKiUgJ4opJDLstMXf+qRQFQSYCAeP5Nmbi9vb2WP0XDK5IN+FYwsLwkgVeuxMKyUcmr5FpLGUi+rq7bLFuXqSDvnU9XYX8FEMS6RQlLf+NVUpRh14QRa+axrWqJ2mPuc8RCasy6bNdlLAcNfiC4IGYIgGK1QQs07eHhYQv8oCSCtUP4uU+69kTqHKr0F9ajBiMFI9qQp7rlmX3IUPb39+309LR5ajTPQCih4Pkcc6xPSQki+m4TxQMNDHYAePg7fP76+mpHR0etae6w4clkYmbWcqhwqsreseT081GlS6CO7kHOxnniAOyMf4ceOyQYyPyRkPBaL97isTl7q7IYYXCRmhUJPbBOPIZdV3XG73kbfloC1lWLHm2R8rfrui/WDn761qn1O1YMMhem8UDTohdEwY/34Msq3SQ1fkrTQu+5mjD/HqVNPBKBmzO5D+Hs7KyZKQTwA/ZBV5jVcyy9H3GOH/WeiVgFjz3Q3yGDVH1y8zpK0Xg8gi5uiBdWBualKEoB6kcUjEGX71QPnITApvA7Zuw0EHICwowsr/OivrUCH1+WwTaxPXoMN8Au9M565rjJj51R1kfZXH5AOD/d3QO+EUObYtiXKWsHPynxAiAjyYiyPTg4aC3LbWaNkXvrEvA0zFy2hPcpyTkovcbouyFLKY2swVJBjwd+1Ci0/4AXOeR7BFmqPrjWAz9e6YPPg68lur5N1Z0nfa6FKXb8jpeb0Nl72AZ6enh4aD0bCj17YGeZvdO+nxTwSdln6tqGXpLOgXO2Lf6N2hQzPyiJ4H8NhMfHxzOPN2C2iFdU56d6pxKN6DzxHf/Pn6XGJbftOnXp+Y++gT6KQaxfL5HH5+iBfX19bfTMZWl9bqKyPvwCk85xV1fXz4EfPm9PFlUa9GSw4EeBDyRCs8r68CrPoOT5id9a8vJuRjXQTevbGKKkbmIYLetWsw1dfCuVlcCw4dC9h+1555YCrxA+9qYDn3mEx4wTCJ3d5c3yenx8bD3UVFdg19leXqY4L/MzVJtWgJC6Jz1GThkyAFX9jBeBhW7gJ3k1dV2JG3amq6qzvTHwSSVI3v8fWVZxv0JPeA/98wwurLsFHaJ/UpNLs3eW0Ovn4djqlb5SoKd0PJbBsg8W/EA0wHisAIMfKIFXkWWj5cBYUu4qZXu8c67ii5e1wGHzrBBm+ZBhRE14mpkgK+HsJKLgvQw0F2y0Z2nbJQq+XqICloezS15HBqUU2KiZvx7JvMBnE8RjSFL+hcfd8514r7OulEHXJ4Dr2HO5hBMLb2bXR9fREMQDwGbW0gH356EMDcKAn5DgLUQKnbNe+Z5gBkiBT6T/3H2x7Dg6ePADiQJUxBBwTwgyHjXaCPhUY12eMGjQm5uNKgqanjPme0DLot7aFnouen6l+q/A57eknJunH4Afzi61tAkniiDu6Tw39iWJS9/ywyqFwaQyQvq5/k7/RwBEuZJZAbYz+E3u0+JM30syvDInn6Nez6LEK6MNURbFFHvXGiV0Cnr4O7P3xQgZBOkCl0oy4FiagCK2phYlHZIMFvxETilighDY2CjZgM2s5XxLGvG6UnMlUtpXMPSg2uf8UsBHAW0KAHksgGaaESjic4nKqqV6GLqOuoiOTSkV7e1Hf88ZIJdXvEeWAADBRvk4+mToCAClAE3q2qIA6v1m6IHWE74GnXEJAARghAVH1Ra0hMkvT7yAq+cSSRewkLtnUza9bF2yL/OO18ePRL+J2jQiW2FghAfVatz0wA+zR9iG7wXveiN9rqt9YLDgB+LdMBh4BUBKh7NBM30XZShVhiMpep71ybpWA099F4EfPX7X7z6q5FgU/t57r3appUtsEyUlqsecDiIQs6nSl9mIwKEmIsyeKFPAv1MfmsrwU0mOt61+vwlszpAkZZtR5QS/g/7BAJbETU1CI1+r51bK1C1b/2sHP55T9bJHbFMasJgF0GCpClx0MOu7z+i6P6LkbuxIl6xPfJYKit5YssPH/7xtiR7USX808ZKLnETsUQSC1J5Zh8gq+Rz0fZdxnye7HAIQ7hsEUvc2//XAkB6Xx73L+PM5lDA067KnZR3X80mLYDs83eRAv2fTUaLJ94HnY/U6NLbi2J6dDyHOrRT8dCnr5JAj/qYM0bvpujrMKHj2dYhdr3vIsgq6kg2lFNzwdyUMQVS+Se33I4oGqa73eZTRqbOLwA/vR3XuOd6u17Wo7boefyji6UF17v0mEgVPUbLaxe93OX6X7YZmz8sC7pxwlJ5HSXksOpcuYFhBt3fe3vktSzqDnz///HMZ51FlDVJ1+bGk6vPjyH/913+t+xSqLEiqXQ5Tht2OXaVKlSpVqlSpsmAZ1YayKlWqVKlSpco2SWV+qlSpUqVKlSpbJRX8VKlSpUqVKlW2Sir4qVKlSpUqVapslVTwU6VKlSpVqlTZKqngp0qVKlWqVKmyVVLBT5UqVapUqVJlq6SCnypVqlSpUqXKVkkFP1WqVKlSpUqVrZIKfqpUqVKlSpUqWyUV/FSpUqVKlSpVtkoq+KlSpUqVKlWqbJVU8FOlSpUqVapU2Sqp4KdKlSpVqlSpslVSwU+VKlWqVKlSZaukgp8qVapUqVKlylZJBT9VqlSpUqVKla2SCn6qVKlSpUqVKlslFfxUqVKlSpUqVbZKKvipUqVKlSpVqmyVVPBTpUqVKlWqVNkqqeCnSpUqVapUqbJVUsFPlSpVqlSpUmWrpIKfKlWqVKlSpcpWSQU/VapUqVKlSpWtkgp+qlSpUqVKlSpbJRX8VKlSpUqVKlW2Sir4qVKlSpUqVapslVTwU6VKlSpVqlTZKqngp0qVKlWqVKmyVVLBT5UqVapUqVJlq6SCnypVqlSpUqXKVkkFP1WqVKlSpUqVrZIKfqpUqVKlSpUqWyV7pRv++eef02WeSJUy+c9//jOadx9Vl8OQRejSrOpzKFJt8+NI1eXHEk+flfmpUqVKlSpVqmyVFDM/kP/85z9mZjadTpu/eEFGo5Ht7OzYaNQGW7qt/gYvb5/Yn7dP76/uU0X3j+29fatE5/H29hYev2TfqW3+67/+yz2XeQS67CN6nV2+47HCthgjT8+erliwLf7ytiXjrJ9F92h0vEiic/7v//7v5O/6yv/8z/8kv9drTH3nbQvbjETHrHScvLH37o3U/nj7t7e3mfPwfJJ3n/D3peP1559/Jq+vj8xjm2b+9eBzthPPZqL94cV6KLF9PkZkT7yft7c3e319bW2/s7Nju7u7trPznq9Pp1N7fX21l5eXRue7u7u2t7dnu7u72fPyZBW6TPkWs/w9WOLneOzV52KseFt+YYwju/SO4UnKZkp9Z+54uRie0mdn8KMnWAIiVKAQHYxSZ+kdKzLiLvvSm6mLovGdXlu0fanT+WiC697Z2QnHmCUHlqPf8fb6u1xw9oKD931OcmBhyKLAAZK6plInyNtGY6/bdAFQuLdKbDYVkDdVSoCM2exYd0kw9L1npxxIdTvox0uSveNF22EbBciR7Q5JUgkHfx59pjHESxh4u52dHXt7e7Pd3d0w/qYAbQqQ5K6v5HPdZtk67AV+Upl4H+ATbZdyjKnfdZHoOvqCuj7nsG2SygAiUNj3fouyrGXcS1GWtqkAqK/knCf7AM8XlICd6LjYXx8/wAG5yqx4elKmTtkhT7/MPKSYoBJ9MluRCuBDlxIQkfOBqZjFACh17C6JZOqcvH318afL9J2dwU8JO5KTLllcdOw+woOpZRc9rqJo71xKbhrdl3dOvF303dAkOm91PCXOzfvey2Y8fXAQ1WN6v9XMSJ2Dt58I1OYM38vQlqnTUiDobVv6nX6fs5GcHr1xmldKM2j+TgPykG0vJ33Ovct9H/2efSoAieqdt+Hvo0CZsj3sF/vB+3mufRmyDL9eYutdkwovTqV8qPpejYeR/+s63l18FX+fG6O5mJ9UYOsrpYbmvU/txwuoOYDDhreJ2cSQJJeRlEiJI/SOF2Utpee6qGC4CfdP18SkZPsS3aT26SUpueCY26cnmw56IClWreS3fffjgV0veJrNnwCn7oePoMOclICbeZiW6K9uh6RBWbronilljkoTLN1XF/33Yn68YLMqgBBlkppN8nl1EY+RSAXdLvvvYvwfSfie6ZpNsnRhYLqwNN53Jbrqk8UMWRZ9nbnA6dmvtw0zM2AUtMxRekzv/D6aLOO6csxgLh7gL/TG7FDfc4kYqo/oW3P65PHVz7oI66aUYfHYu5wuShPSFAjqmtSq9AY/eN/3RosG1ttnCvB4DE5keErF6W+4qa70urqg0m0V755J6Vnfl1C1USZYsl20vXfsj+hYlyk5W+YZKJ5Nq94AfHZ3d5vZPxxEvcyTnWWULVe9tqUPe6TBzwM+JX7QC3j6v5fspvyJBsxVSm4Mc8DS+98DJ94xlnlfs93iWLmeopKEh3+XGrt5Qf5cPT9KNZYCh5RC+X8vGPJfr29HM4qUIen5l5576YCnAuo8wHHTJQI+nt6jjEP1qkbI99Lb29tMcPXuXc+B8Oe5LDW6v1YlfbIo/i71+77Bw2NlsJ/X19dmWjO/oC/tIRmNRg3o4SnNDIJyuioBQB/BLvteg+ebcglelGhGn3vS1Xai/ZYG1C7HmldygCb3XeozBfapZEP3pbapv/MSRnynNmrWnmUZMbPRubDoNS0rVs411d1svsw4ZVQRw8Q3L2d5eg45Bej59sn+PNAVXY/+7iM42FLJ3SMRg8fblzA7us4Sf84v3Y93r7AulREsuVc2Ub8RACoJWLmsU4EPQM/Ly4u9vLzY8/Nz83p5eWmAEARsz97eXuu1v7/fAkSsq9T0aD3PecsFQ5UurAOkT0atNrMMIJlKXvl7L8EZukSJfy4hyel3NBrNJH58vNJkH36TmVokKgx4YKcKgrxrTI1D7rNFyFzgZ1HAQffpMT56vNR++pxXzpGX/K70t5tgjIuUFPhR4MNGr4AkAkbYHgGTDdZ7scOAwfIialxKwXGR1eD76NpSsgmgtzTwqSPNsQOsD4Ce5+dne3p6al6TycQmk4k9PT3Z8/NzA34Y9Ozv7zd/9/f37fX1tXk/nU5bACh3TnzuQ9fLPBIBgch3ccat/0fBKWIRFuVX8ftc8OYECPY6dEnZTC5Oen91H7yvKJ56PllZWbZfXYgSfhFsLPtTBUF6zVF8iO6r6J7qCtg7gx/vRFOGVYL2vP3iN6rQLjezF1CjYKvXE7FGHiJXZxFdT0rhH10i/eKvMjcYz1wGB8PkYAo2IVVGwf6YNdBSihoxT83NLc7mXae+X7R0YW1KJWWXHjPLwistY/yhGwY8j4+PM6+npyd7fX210WjUgJuDg4Pm/Xg8tvF4bC8vL3ZwcGBvb2+2v79vb29vtrf37taiBQ+VPfYkZc/L1OO80gdweCyd/uX9lzAHHDxxL3CykVpxm/cfXY+nE34NBdimfEKpfaX25e032l80Hvw92yn8Kv+vSSbipTKz6luj/jy9Lv2syz3cZax6Mz+pEytx9l6GmWIIurI4TM9p8POaK/kY2lAZMRBdHGBpJrptkspMovGNgulkMrGHh4cWg8CGqmUx6BkBFS9mGDwjVqM3a5dgo6CxKZI771TigM/YxrS89fT01AI6Dw8Pzd/7+/sW+NnZ2bHxeGyHh4d2cHBgBwcHNh6Pm/dMvU+nU9vf32+dj/eXz3UIwXHdkgPxaqP4PtVXBdsEyH1+fra3tzcbjUYzLB4/tkLZJ/1Mj5MK5N5vhiK5uJnatiuDFoFK3kb96fPzc+ND4Vs5sdRyF4CPMrPsU6Hr6fQ3Q5tjeLpea1fpBX5SaK3kZsspM0KBqYHwaLropQAIwuUPVqICIT4f3AAp9iu6ziptKQW7CKZaMnl8fLS7uzu7u7trgigbqjIV0DNYBA6ueOH7vb29FuvDTFBUBlOnM1RH3EWiQKjfaU8PnCdADoAO/8UL4Acszng8tqOjIzs6OmpA0OHhoR0dHTWZaJTImMW9PwyAPNlUW86xKSqpa2PdeuPrsS9vb2/2/Pxsj4+Pdn9/37JFM7P9/f1Gf9Dn/v5+cTl5k3RRKhFrmwMuOSbM2x/vF7bz+vraAB5mY2GPj4+PrYQyAj7wl/Clnj/d29trEQ0eseBdz6JlKcyPbmOWp+S9bSPDY3pOEWvUQAkn6T00L6VEfnGWoplK6ibMjcNHkNLgrmMR3UdR5vn6+toYJwdLBNGbmxu7ubmx29tbe3h4sJeXFzfAoT4NQ4UzhkPmIMt9JVrT9jKZKCNdtjHrcfseL8W45b5npgcsDxg5BMLb21u7u7uz29vb5jN1ss/PzzadTm1vb6/RzfHxcaMf/I/eIK+0qX4k1QBdGaB0bw/7XLN42joDn9vbW7u+vrarqyu7vb21p6enhp07OTmx8/Nz+/TpU3O8vb29mX4tM78E5gX2LtWBdUiKqdL3nh48JjOqJrC+1B60aZnZWLZTJJHsZxFPzWwmXjLwYX/KPvXw8HAm7nrkgWe/i5a5Z3uxpFBbDslHGZgCHe7xUJDj0XQMgLRDPWIAGLmy0oBiuRSCaytlvlLoPIfchyS5jEQllXnDCLx7gA0VbA8C5+3trd3c3DSGend3Z9fX1y744WOyzg8ODppAitfJyUkTaHH/4H5gAIRzg9NOOa5VSCkA9z7LAR68TzlbZnsYoEJfAKbX19eNnuBguVSJ7NLsnSVg/UBfp6enreZoHJvBkHddSFw0kC7b2Q5RPDCRAog5APz29tbY6NXVlf3zzz/2zz//2OXlpT08PNjb25uNx2M7Pz+3b9++NcypJpW5c9ZFL/nc1RbXLR64yW1nFttwruKioEdbPthW1E7hO/GXkxMkJVy+ZHZcgc/JyYmdnp42PpUTFfhHr7Lj2WWOKInGLCULBT99hIGPF/yiTJKpOWSW2jSpM0f0pjCzVk8BnCoDHw6IUNzBwYGZWRNEWYZgbOuSPgE/MmQP9EwmkwbgXF1d2eXlpV1eXrbYHvy9u7uzyWTSgB/ODMH6sI5PTk4aY8W9A2PnJr+Dg4NWzwL29/b21gqq6wJAOqY6rtE2KYnAAWeemkUCkN7e3rZ0dXV1Zb9+/bKrq6sWSIWdMngZjUaNbSr4OTk5abFEnBB5a5DkxmibRf1uNDYlY/b6+tqAn8vLS/v777/tr7/+sn/++cdubm4aG/ry5Yu9vr42zN7h4aGNx+Mim+FYwXbNDN+QwI9K1wS59LsU2GH7xAtlSSSSV1dXdnV11SQnAD9cioY/5eQRoIfLmfClDw8PdnZ21vxWiQe+Li8pYT0umtlbG/jhC4xm4+A7puWYjmPqXHs9lKbTBxdCoLDT09PmdXR01ARGKJEBlNm7snTWwpDZmkVK11Jezrkq1T2dThvAy5kJgufPnz/tn3/+sZ8/f9qvX79myl3QvS7CxT1dYH3YUGHkzEDodE9kOtinNkGXXO+yZBFlLxYv29f9KkB9eHhoOdNfv341DAB0B9B6d3fX9IMwY2P2m1YH+OE+oePj45ae8FsFqjzLiM/fzFpl61T54KOLJp054JMqb8NmHx8f7ebmxn7+/Gl///23/e///q/99ddfdnV11czOe3h4sL29PTs9PbVPnz7Z2dlZJx3ArjXx0PMcij5L40KXcrmCBI6jDHi0iZnLWwA6sFMkJgA/CnyU9UGcZOYHySRPXlDWx9ONtg7ofVm6blepLBT8pGqyLHxh2qSs7AyoOabloDCmz/HiGiUyf1DoHkU6Ho9b9ef7+/sW+AEToAyC9nx4lKTHYnljFn0/BMNdhAPxbuSoxgumjw0Ver+6urKfP3/ajx8/7J9//rEfP37Yjx8/7NevXy1j5YCoIAR1ajZcjyX0Gmn5nsW47O3tNRksroOPt0rJZYUl4t2zHiM7Go1azvXp6alxqAxSf/36ZT9+/LC///67Aas/f/5s+kCgL3WK0NXBwUEDanRdIJ16y2VwZoH4OniMPurChl0lCkYqzHJ6gkQVQZXBz//93//Z5eWlPT8/29HRkU2nUzs9PbXv37/PNNHmALzHDEQ+2PvtqtsLNKlTKWHadB987Qp6tDUE9sJJJDPosFMkkmBl7+7uWows93sheeSGdU4oFfgwecDJaOqadUbZovXUG/yUUvuRM1VFMTLkrA1OFQEQ9Pnl5aX9+vXLLi8vWyCI65NqVLoMPkpeTMs9PT21wA8YBDNrAR6eCVZapx6ipIK151j6iLJ6CkJxDOjcY3ugbwRSAB+wCdA9Aqlem1l7lWBmCdSxaIDUF8Zqb2/PXl5emgX29Lfrzjznuec0wHhjxCBVkxNm5/7+++9GZ3C0YGyZStfEArNCdOw9dphpfZ3YAOHssSuN3pXp3DQpAT5efwYL/CcmHlxeXjb3wI8fP+zy8tJeXl7s+PjYDg8PW6Xp0vPQ5Dqli03RmecnvHPnxMtbyoVjqS4rgcSEe+8AfKAnjqd3d3dNzyTbEU8U4eOiFcArXzP7zokNmB6+n5j9YfCjY7IIWfjjLSDezcnAB4Oj2Rorj0tdoNHhPJk+5/4Bbp5k2lsXW4KD5f4ds98168fHx4Zux6wToF1t8ILSU5JidIZslIsQvg8YiGpGzpkK61wDqcciwFihcw1yZu9Gp9kEB1rcH5h2Gy3axauZwgl49/vQqPdSybG2Zu9ZPgMfLXMBoAL4wF6vr69bDJ3qQ8tQzA7iuNEiecrWKXhi/eUWQOT9KhvxUey2hGnR7zgB8ICw2i/3fCFAM+OHfel+U+ewrIC4TEklWbnfMGHglbY8pgfxE0wP2B68mEjASxl01Q8md/A5wIa99hUGN7wCNM+aVRtnH7BMO5t7qrsnmi2yw+SyBr+YxuamZZ7Zg0DIL/QOAPhwfZKFB55nanG2AiNGDfPo6KipcaI3CA1eTPdhv+o8+cYpMdZ1GPKqz0fLR3jxGhNci768vGz6RRBQMXsEtWnNIKPVuaOMnwE5zoOncELn+B/3DzOUbOzrAjylWXOpeECOnTAnJ8gkoae//vqrAanQGZIUZeg4E4SdYvx5nRCMPUAsGEIWddbe88C8h6F2lU0KujnJlf/Yl3vsjzbT8rpbPNvv9vbWptPfU92RVKruvVmfek68TcTgpRJOlWXrUsGcxsWcz9BKCRMHOtFAV0332B7u88H/+B6MD9snztF7zIwyNS8vLy2daLKoiyB6j8IwW01Jeu7HW7BwYIteGmR4BVAGIlAYT4nlJkqe6YOmSc4k+Xy1XKUr+I5GI3t5ebH7+/tmHRms78L1TV634PHxsSmPIQAqLc810tzYReO5Ssk5jBKH4mXJMAIIAx5m+HitHuiXGR8wPZeXl82MroeHhxY7p0wOO2v+ThfdguHp/QlHghmAz8/PzTOlFPh4gH9IQbILY5HStbI+zMyiz+Ovv/5qZvmwzuBYmZXxVtSGjni9JV4ID9eC+4edp9q5LljJThdZbBc9bSKbF0lUblHGgb9jZtXMWqyDlh3ZvieTSbM99KQ6gV65odljcJm100RmEX5sGRLZX3Q/adxkgMk9beiL1fW0vD5ZbmbmmbG8ECXbJutJl4PhRJCvgwmOyWQyswYQN0frKtC62rcywouUhTzYVIUV5ilQp60z+AHbw/VI0OQMihihoqEZs0M48CjlzaiTBxuOlKlz9ATx6rPofufzHo/HzTnw9TMDtAzlzSvzOnHPiXjOR8Efg2Bl+AB8uNTFM4XQKOs9/0kzfWWAFPzoEuxseHq/6kKZHujxMuRNE89Ba4CBY9PMnpk6bkZHkoL+Odx3yqzxGloMfgCAUF6GXiA824wD6sHBQWvZApSx0acFPeayzE3TZYo1SX2norNvzfxETksyns/Hi9k9DqKwP94f60d7NbGdlkwYrPH5rlsi9gffqSj45KRM20S0VYABDZMIzPLwAobMmiOG4jExHDN10V99iDC3FCCRZFbKe44f7Jt9K8YE++a/i5S5Hm/hBU/NfD0jYCViUHjtAZ7dg2ZWpvEY9Eyn0xmFabDTPh9dZhsUPpfLwPh4awppUxdeUQbCoGDTHGmpRNfFn2vTKjIWGClKWQp6dEYXZyjQk8ceeE5TGUB9Jo3Sr6nr7VsyWZYs+v7y7l8GGp6tgp0DWAXw4QUnoTNeQBQsKuuFt+FHjMBXICgoY4eevYeHh2bSwtHR0cyCiPx7XGfpmGyyKLtTEnyVfdHt+H+PCYLeefkCfvwBkhU+pvpUZo959o+CH/a1Q/C5XRhXFm5qTs1ofH5+nklCUF7m/7k3ltfIAsCED8Q5MyvrPe1AgY/XHM3feefOs7y9ig3/TSUmfcZ37rJXRCGywhm96lQ8Xp0ZSvRYFl3QTAMfjsk9PcwAKPvDq/LiuGbWZKZaR+XynDadMfjJBcRSY1yF0apRLoIe5n16+1MKV4MoSl3oE8Hr6uqqtSYM07H6DBmvr0NBkP6v/SDaJ6JgSUH1uh2sWX8nqxmpx2ThO7ZXndKMxmb0ZDFYfX5+ttHofX0QXlQUL4AcbjxnehyrauO+4Sm4AEDcdMvH0QczwmYBqEpttu8Yr1IicBL5Js8HeHaM32sixz0b0+m0tQo7ytKj0ai1DgzaB1i3ek6aQKeuk7eLth+S6Ll7iTPikL4URDCrwo+mgA54PTyeaAC74Uk73J/jAZ9Ur4+3xIQmTkoKeCCHxyMVU+e1y6UscqgnHFGgqkxe4l4XJuSLZNoU7I3W+bWcAWXptFn0+AAMMQWoSuVZPRDcoErR6jlHykllUZsq3jUx4OEyktc7ojStzj6A/r1ncrGBKvCF6HRRM2sZPAydWQl9xIk6giGBIA4aXVkNz1GxI1bAiibnv/76y/7v//7P/v7774atZUeLMheDHjxG5PT01E5OTlrsDwMg1iWDH12Mks+RGVtdrZszVC17bZtoMNK/3nv9DSeh0+nUHh8fm8kpNzc39vz83OiU9c326ukgYpsiGYLtpSTFjnvgx4uV2k+lTz3gxECTdm+tHgY9XonL83eIuThXnIs+UgrgSmdYerFa2xRWIXOt88OiN6lOI2WHqj0T3BjHwIdpt5eXl2ZdFRgZsoWoIYsbqryBZaUBHO3u7rYei8Dd9bgeL9B5axl4NzTeD61kMq+ksmdef0Jr1mrA3Pisi1VC57u7uy5zgODpMUAAn0rJM+3LbEO0fxyD761o5hDf+6vStWa+8wIgfrGDY+YH4AcNzujR07HVldT5kSJ4f3h46DJr2pAOX8HsMM9+4YDAZXUtVXt9LdskWibSxE2bT/Eb7rMEe4C2g8fHx1bLwvPzc2Nb0L0yfR4TEvlaPnc+Vz3PofrX6FrN2smi91K7jBb2VMAE/fJSHhBN/HLPtNREku1Nkw0zm2HPtfnZaznwWLyILetru73KXkqFew4f73MgAKJKZkWhoZgVCXAFBMvlD35xZsGDyoALGSU3kHFmqAwB07yasSiVp9es9fN1iuouV+aKSmSqTwWFWkJUEKTZiz66ANkKsoPxeNwwBxw4mf2JZnIpKzAajdzZJ6knvXsAy7sXUmO9TNGAxuKdg2fTWtblNUR0AUp+1MjV1ZXd39835WOAGCwmipXUz87OZsAPAGZq8dDpdNpiDLVXhBlm7S2M+g04wHsNvXr8jyZaXvLYHhXYJJerUJbE4y3A2j49PTVMrSYqbJ8Q1oOWqPmcUzY1BP/qCWwtiplmcQKisVNtVBltj6EDa8NglycYsN8DQMVMS03y+PhIRNQfwgdEZTQP/HjjkBqrvrKwslepo8XnDBC890qPYeCQSSLz4PVAGLEq+MG5KGKGgpj98c5XabsoM/UAnyLUnOEOQXLn5pX/vN8x0OTgw0GJ16fQh4kywOXSCTLIs7OzVvCM1oUxe3/oIvcnmFlT5vQoX35wn2ewWv/uMmarkHnuMw9I6PotPEsPPVkKfFDu+PTpk3358sU+f/7cAj/QnYIftlkFNlhyAI4cdo3zxu+42VJny8D++Tdew7uCw48mXkDu8lsI9KDT28H8cKM7swmRz438qZdAe/oaqn9NAR8Wj8WNvveAAvbPrLbZewKupS6On9yHx31ZqgcAr8lkMpPw41hcmeEyl05OiRLqZelyIeAnOjlPEfxSIOE1lyoyNbNWk6IHfLQ3Q6fIwkB3d38/lwtOUKdremCHQY/3WY7VGbJR9hU1TlyjVzrxOv+510tr02ANcD8gewSLcHZ21gRSbqBk1gfnxDqH4ULPZtaaAq/TcKMG6FXXqbtK1/PygowmDOjR4vKkPk6GG8MBVi8uLuzi4sK+fPliZ2dnLcCDv2DudCYJvwB+oEuAMzh1NDLr7KEI/CjTMfTguUjRElHpNXvbewwF64wTGW+Wl3eMPralfmiTJXX+KcYI3yvIwW80rnpst/ZRqp7YLyCZZCbKzBpmNUoaPeJgVbLwhmcvEJq1a8hcNmLkifU3mAZjYISbWQMjFiCMWB8ohktaUCQU5zU38/l5wCcCQNGYfCTRMgn+sr49ClYDKbM++pRulKLG43EDdI+Ojuz09NTOz89nSihHR0czpShmD1CD5lIO9DwajVqOIMpQPNaPs50hBM5SFspjalWXHLx4ZgkDH15zibNKBLmTkxP7/Pmzffv2zb5+/doCP5ywMMWu4EcbPZ+enhpfoE3MsG+UZPAZs41aEsX1c8DYBukTcJSph2hbAjOu0J+CH9a1dxzv/bZICph692w0hhw/YRPa44MX4ij+Qk8e6wN7RHyFT4fvxHfcXK0TUSLQvQogtFDwowExYn6UUQH4YcfGAGhvb6/VB4R9gQmIZuToWj4ob+D8uPzBx9ZVLqMylwKhEhZgSCxBjqHq8p1Hz3Lw5M+8GX7K/vA0TNSqEUgBevAC+PFq02bWMlIGXlxGNbMW+FEA5IHgFF3bZ8wXIQxgPAfJ2+TOVRkTfpwFSl5YGZbXDDGzxjZPT0/t06dP9vXrV/v27Zt9//7dvnz5Yqenp63mcW2AZPDjzQ5lu+ZeMga5uAZvVow3U49ZwU1OWEp7JLravwZfvqcw7jorVll23BdgFrxp7tg/fHB0nutOMvqKJoh9mC3VYwR89N5mAMolyNTMVtUR+3VcA8dFPqYyTxozvXOPgN2idb2Uqe6eaFal4Ef7Lfg9Ax+eqqfTnVlp7Nw4I0cQ5Gyd2QjOXj3FRQxQpMjIiQ7FaJUi1c9Lfh/VnT3mxytBaDMqKFOwPaPRqGlyRjD9/PlzA37Q8+M1UDLYMrMmcOLFQFfr0lGd2mN9PPG+W0VQjZxJdE6ecGYXzcbTVWKxBhbGCSXK8/Nz+/z5s339+rVhfk5PT2eemaYLqOE8FPxwr54CaAAgDb7aV6bgNgL0Chi3UTRY472yPszAabM8Mw7oKQH4VVZBgbr6JfUxqpshsK/LlFKwoy+z96Rfe3w8xod7fbwyNJawwH69xIHPKQWCNH4qVoh8KR+/q6wM/JjNAiAFP3CcyAIRDM1+Z5K6TgGDnwitssIgWpv0pr3iPLW8FdUqS6+f/w5JujgLdTYRAFLw480g8qa/4zc85lzuYtbn/Py8YRG0gZL1DJbAY/DUMHn9iVT5K9XkzmM1BInOL2ICUo3ODHwU/GB/HOQYsH758sUuLi7s+Pi40ZeOOY+t3i/QIfTJQIabz6Pz1+Z1lGl4jLwkAJ9vKwAyS88G1aUstK8PSQzYW0x3R0nFkxzrg208kDpkX1sqXe41Bgpeos7gh22Ny14Merzp7RwbNZHVOKq9XzkQhO89tofvA60u8PV3tc2FgJ8os/QuAIO4u7vbgB3+CycGpYAFwIBxTdlrjtas38zCgKvPFmMAxOcflb1STE9kjJsiHsDxrpVvRgY7Zu3FBPk9Z4k6C0zXU0LPz9HRUeM00eTMi+Nxo6x3PlEGETGR7By8PrRck9669V3C9kTZs8f6eKvHes8HwngiswT4QYM6mtSPj49bC5CqPeOcQdPjhWO8vb3N6AW65wZbvpe82Xx6v6mj9e4XtYuhScTg5tjdrvcJRNk1feF+Qsnr5OSkKVWD+UldQ+p8dNsuyeiQRf1qiZQk6R75wElfqhmZz0d7AKPHP+k9w8fW5DMHfPD7VDUlSuY8WSjzkwM+SmWhjKUIlQOPt7KyOiV11mbvXeZmv42TleQ1beqjM3ANXo+PB7BSN+kQg6MnKZCWcpo55keBjzf1nYEPzgOGqKsCK+Bhls8L4gy4ogwF16jsT84heM52Xbr17r9cBuwFNp1V5U1v94APAAmSF54yq9PZsZihlw16fVR4RQ4T2/F5IygzWwz/gvPTpfjhM/jYm5rAdBWPQeGXB6gRCHWROw6AZu8gFuAH94MmLLrvLmO+KXqa5/xSybay1zoBx/OLkZ/WWXr8HUCPLkarj6TCY012dnZaSYbigKjktWwgOzf4STn+CPiYtZkcRaAeEkXAQtYHpWGAzayFRrVG+fz83Fp9EuCHn3nC1D03VnsOl681RcVF47QJkkLZnigQVBDkNa5qnwACHMCMTsHUNULYcXpTojmAR1PqOfNXB1Ja6hoSCMqdB+sl+txrdOaSF8APAx9mfHi6LK+87TUaR44uBarVIXuz0sAacwbK/Q542KnH9uL4mxJQ55GS6/N8G/tdvkeQYDKwRB8lWFzM9OMp1IsYZwXNH0lvqURG2RzYlpk/8YQTUMy0xvIR2D+zrvzZ83P7QapY34vjK+wPv/dszIuPq9TX0nt+FPjwVNioMSuaUaOZqVn70QneFGezd4VpAGQFYtYKL8ntMUARA1LC+nQFE0MQ75xT1xGBnqjM5fX6IEih5KXTMXUNH647IxNVhkkfhcClTjY8D/hosC7p9RqK000xdp6ozpj5AfCBw4PN8CKRHNyYofN6CLoCHwU5HujhcjYSGSRPzCgC/Oj6RB4TlhrDoeh5XkldpwJl1hvGHo870XWfeB87OzvN/cErPOvxPADaRYYOWJXhykmKFfHIBa86oTbjgSXd3puRhVh6f39vNzc3zeKmeI6frszP5IVWcPTaeGwixnGRMjf4yZVKWCkwAPxOKe9cBzh3mfOiZl5gwvE5i+W1ZHTaLgIjZpJAWdE1e69oDLz/vazbCwDLlNJjRufMv0kFq6jfypvlhWMwA5Pq7eBZXGazs070sQw6NZvvSe+YOsurtPTljd+yJSpN4LvU7/g9sz7a6Hx7e9us6MxP7TazpjEdvVn6wFJuZk7V+PVcoskJHpPITNVkMmmyV17CAuzP4eFhc674Ho25Xrngo0qX+8TL0F9eXpoH3XIwnEwmrd8y6MRq7GDYeZJDyfnyuXh+zPNZEegYsn7VnktfZu2+Ry77497WpJ7tjVkgZX6enp7s7u7Orq+v7fr6urWyOxJKTiaU2Y8YZ/2/KwDqCpTmAj+aJUWiAMisvcS211ejzA0DHw6YOHYqg1QKn1cWRrbCWSwCoNZFUy8dk3kyl6FKDgThOw8ARVPbvZ4fHEuZQT4+jBnGZdZ+jhiMkNkmDuT8tHG8lPUpmeIegY3UZ+uUFPhWR6nPW0OiwBkfbGY0Gs00pkdPa88BH2YWFTxrqVQ/Yz3zuaE8Z/a+OCpWCueSN8BPFEy3RSKg4/0P8ANQfHNz05RE+TcYd16OhEsiqSRShe8RnG/qXIcCcLpcX+q7ksSB7ZnBj44dtmfb5947JSAAftgPcM8ss0uj0agFfrx4qudcQiosQlYy1d1zbhxEcg3FEbWt9XqI0tfMFnG5hUtfoGsx4wzN1kqv86uvcoZiiKVSkll1YX50ijsHM68xDsYK0MPrvGhdW/frASBeD4b7i5T58Xp+uLGa7+cS4DOkAMoO0AM+urYPz/YC+wPwA5vxHj3iMT8lWSvOyyubRgBIZ3GClQLrwMwPWB9mfTFt3kvA2GaHpMcSyV2HByK830b7Qw8IP8yUGUEza/rBdDFL3s+8wW7oOvLiVMl5ejbCsVPtJtULhz449bFKEnCyyX8Bfu7v7xvm5/7+fqbHy+z9aQ460URZoBzgYWCL84626SK9wU8X1ocHGp+xEr3SV4r90TUlWNHsyNWpa0DkUggcIH7H2yq1Hs0Y8mhHvn4dEx1Lb+xWKSWZFD7zztkDPl7ZQtf2YaoU2wPceOwRvuNmd2WXuI9IAyQ3w6LnQMFP1PCsDkfv60hWoUuP9cydmwdUFSh6wAfgB9k9snlMY+Zp7br6trI/qZlbytoqiM4BINj07u5u4yv4MSnM+oKRhL69sRpiUFXpCgJS7IgGSN3ndDqdKYMA/HAgRELBa8h4TEWX6+CkqPRaPVmHn+0Cevh9FDu9pMF7we9hnxDYGdso9sXC4AfMD4Cu7hv7iezVi6EpILRo0mBlzA//BdWpwIe7w1WhEHWK3P+j/QCMgLUXhKdn8gwFsAm8nedgtVQTKUaRqo5FSqHLZogiENNVIsYnMr4om2dDMGuXPBDQcO/g6ew4vgesvKZYLpfyjAgzmwHhUY9PNJapcV6X5AKI6o17pJAc4MUPM+UJAgALYFOY+cFidgA/Hp3uMROa5PAMveje8Xp/UO6CTe/s7Njh4WFrii4Dn6gxM0pktkE0cWOJekC42dnMWpMWlPUx88GPfu/5zgjwfyQ9lYIgD0x6PtkDi5pcclLJRAdsEjOlufTN+93ZeV+3S20YLJEHgEp1tojYtfIVnvm9Ks8LOFGDJIMadngRqtTPtT8AigG15+2by23qjDE7LAowm2SIuUzKQ+Yp4ONlDwyEvO0VsEwmkxbwUQNVMAxAzCwg69TMZh5/otlUyawulhJAO0TRsfHYEwZA3DCOe58fZ4F+H+758R5iyfcOn8t0Og1tDnpV+/PuJd4H7Hpvb6+5Br4Or+mez0kp902y575Sco2vr79nenEPyP39favkZWYt4INZf55EjLJX8vAY9K56WYcuS5lij1mOQE/KT3n2xSwQQE2KfYUPhX/gignPluTzmk5/l5i9hS91yRGOoavynwtf56d0W+7Z8EpfXt9FtMqumbkOjx1iKjvkWqUqnwMCT5WH4+Sp11wSgXSloNcpJTddZEhqKDlK09tOARXrCQyN1qPZkBnkRsfEX+xPn+vkZVZedskv/X4RTnkeKQVh6gi9shE3ietSARhnZHk8k4cXssNilLouE4QzPmag+Bx4Svrb21vLabKuo2vD/7xPb7aht69tEg/cpe5dNDuD+fHAz87OTmuByxT46Vqmi8pxXROWIUmK5UmVvnKzKJk4gG2YWes9JGLr4Sc4Bmr8jMCPJlLcZ6fLl3jXj3Plv7xtV5tdadlLEbyyPsjM9LkjTJONx+PGYeFJ8BzM1Omp4rygbGZNQMU0WCiCs1BeFfr+/r5lyCjBcA+JR9Py/ykZWnapgcVjaCKGTUuQqg8PIPFxMGPn7e2t0RNvq1l/xErxZ9hPl2Cn+0n9ZhG0bFfJZZIsOsasL32Iqbd6Kzs8bmbFYpR48cweXqYgcmJqbwpUoGu9r3AeHmPHpdSo38xjKD3ZBPanz3nlkrTofgYLwL1gDw8Pzcw6M2tKofwMPu6pyrEW0XeL0sOq7bTkHsoBIG/CUPRKle7ZJ6tf92KmV4r2Smm4NmzLy2XwelC4Hzg5UgCk47IoffUCP10P7qE0KA3oEAPOrA8/4JSds9cngu/QYOVl7XxMACYYIQZ8d3e3NQ3TbHYFU0z55ccr6LL8OE6UmQxRShgLj0nxjMVrbEsBUQ9MMPgByNHvPNDD14Nt+dzxOe676H72wE70GrpuVTwAqTMpmfnh1VsV+DAzy4tSsm2ofXgAkvXN58FARZ00rkVXifcWPMV1KihPgWbP+Q5dlulv1FZ44oi38OV4PG4eSMzPdOMAB0mdr8dGqX/N7WMIkrq3VPR6S5kgr2eRAZDaHP5PtYl47A+zRZrom70nHToDkwGQgh+cM7CA7rN0vEpkpT0/ECgJMp1OW0rDSrHcXKy0vNfXAcV4K0oiywfoYcSM7UajUcuJo5QFBWJdIAAfnsKr03hxTFwfX7uOxaozD4gaoOdMeBuPSVEAosAmAq1ew5s3DjAwBkF6TM7szdrg2nOOJYyPd638ecnYrkO6nh+PJ+vFK3/p8+/U0UaPptHl9vkcWG/qeL0kR3Xmlcq99Zm84zBjWcLmbZp0AeUMhvkz3ldkn7qGFhaXHI3en+IO8HN0dDTT7Oz5TD6n3DUtyocOCTjlmB9lf5QBiiZteODHzGb8dwR8uIyMpMMDsjh3ZosiNvnw8NCenp5aAIgJitL7uGsS2gv8zHOz8ckx2wLj0izy8PBwBvh4s61YORwMAW44iKK85gEkdt5Y8AwGjiYvNO+B+cFLnTxT/J5ShswY8Jh4mYIHftRIlCb1yhhev4WOCdemvSxEdaiOgNk4Bd4lY+CBJ30NUVSHORbPszNtUETCwVlmCQWvzlwBpd5PEcOGfXjAi/sCOSHBTFLvvkqVYKMxHbLOzfqXvbxx9u4Z/V8BEJY/wMw6nv2Hh5l65+yNuTI8yqQvguValS67sD5mZSWvlM15YIjBj9qf+vEUo85xTtlc3jd0hOqJ10P4+PjY6gtEbEbsVp/tkQp9pDfz0xUAeQFEWQUoAM6LnTF6f7gfiLNQr245Go1azY4QVTKflzfTbDqdtpq87u/vZ3obtP+nBLEO2YFCPGfH75V148CB73jsvKZZL+joDa7sRBSsvAyIjYcNtg+I8RzQ0MTL0qPzVAAbTSXn/hgzm3GoelxvPHWcPR/iOXl+8e+QLCnbEy1QifNWRsO7f0sYh48m6jv1mlPgBEkOT3Hf2dlprf10enpqh4eH7hpKubEtuZ83RUfKbnX5nQeEInCkyYcyP6xviAdydP9cjmLfqr6E9cHJlZbVedYXvyL/4Y1dHyC08qnunvObTmef88XsD4yKWZbn52cbj8czLAMrE3S3lx14qNYbXO77AfszHo/dJlD0OTDTxNcYGeymiJepswHpewY/2u3vTXVUw+PjamYCBsIrefG5elmDshClEjmXaJy6JgiLEC/74nPRZEMdoVe61OUDzNLgJ2JscuKNL/cA8HYQBj7sH7TfSBMd73pLWZ+PLKyzEoaUwQ/uEcjOzk7zGBFe8qDk+V2p81MfvSk+tO+5Roma+rGSF8CPxrwIVOEeiGKl2r9OSDCz1j64n8+bfMCJrQIvL9mcR/dzgR92qF2dggcyFPy8vr66Tu3g4KA1SJy9sXK8hZdSzl9ZBnaWqbolB3Od0usF367jsw5RQ42AjwITr3asa8Zw/4g3a0eZFdYLnx+Ex1ezHNybfJ78f4p5yGVYKTCrAH/VooA7FbhTvTZaZlYA5AFBDwTnXnzOXvbJGas6W/UNuUbrqNSV6wPbFvHAcyRexg4B+Dk8PGymuvPDTD3xgE0ugdwU8cbTuyYvrkZ+JwWAtDSm++PfKVOuQIfP30tSzNrsDk9QwG8V/DDz47E/7MvhtxcpncFPCf3oSWo7VhiyvLe3t6b0xYDHK3mYtaezYj9AnqoovYG8LFCbqt/e3hfXw5omukqst57JaDRqGre6yrKdcE53etPrOCng4R4frvHqDY6xxV+v70pr1DzTy8xmAiL/VnXssVI7Ozsz6wHptbPxeY4n5bh4m1VKCmxFYE0zd53K6vXZKQOE8hKOD0enrCCOqQmGMoVeH5iWvaBv2CMvosdrgiko4+v01vjy7vto/IYoahMlUuILOMjt7Ow0jzvhp3pzgrKzs9M8SoSZH88XRsfn+7nUXw1ZFn0vRYmCV/byEjLYkMZf3mfKF3JyyeAGOmZWP5pN6lUBcizsImRl4CfajyJMOFMFQFGm5vX5YK0ezhS9xi92cuz8WTFm1uotenp6sr29vZkVb3nBJs42lWYcsnBQ8YTHWgEQZ9Ra5tIF6jxd4vg6W4jLjgyKIraIn8EFvXK/CtP5WBZBGUPNntSJYCwAbKNsbF069/TngTQzm9GbrqisgJVBA/YBe+O1kziDU1DEx1U/4M3q5CxYbQnJiD40k8GYd53cb4Z7Qst4+N22CAMc1gt/bva+qvP19bVdXl7a9fV183wnDZz7+/tNfyQecdI1EUzdu5sAeMzi3skc6FOmxttvFEP5ryZtyqJ6y36wD+QEx6ugcOLLCSuS1qjfJzX5ha9bfewipDf48Si0KMh7QTUFfuDQMKj7+/suw+CBIPyWB4/3qVMA2VlzWUvrlAyuNLBzKYedLwMuvkkXlY2tQqKbHGOietDyYPQIAW+auxoaAqrZbz3gydxc7lSAy4Dp7e2ttS4NABB0vru72wJFuN5U9oSxwP69OjRvs25JOQ3VKQNF7xEuuuQEkhQeM2R4+D16PDDmyiKysB3ycaPzZt170+r13mWHzPcezl+dO5dcIj1/NOGEzfscOrq7u7Nfv37ZP//8Y79+/bLb29vWA4PNfgfU8XjcMD+Y6dWF+Sn9fpOEY0AKBDFD47HJagf8OwY+ag+6nbJDHNexH55QwPbMtsTAh9kfTnBzJS9Nas1mJylEY9RVeoEfL8v1TqSUfsV3MC6ABYAYZha82SgIXqPRqFkjiJ1atACagh8EbARcOHEzayllZ2dnBrl6dUtmsBAoS8HPKrKa1E2jx46Ch9ccy8FTlzKPKE7O7jmb57WWmFFggzJrP5QU2z8/PzfnjHMBYzGd/n66t5Y99H7xHIg3NpvmnD3go70bHkBl8IuxZeCrzCkyffULmvQobZ5ifdgn6P9eguQ5UmX2PLYR58qyCXrWJLOrv2FGU5Nd2BXAz48fP+znz592c3Njk8mkNV57e3t2eHhop6endnZ2ZicnJ3ZwcNC57FV63vp5tJ9167T0eB7w0e+8fZe8zGZL1po4jEbvLQjce4v4qCwtAx+1adghl9PV13ilrtRYqW/oKp3BT1/FKUvksUFm7ysjewBIH32h090BfrSMosBHp7/CoNlR439WIo4FxiDqUtdgwU7Z61MZCkvgiRckU8DHmyXEq2N7M7088MPsD+4RAGOUvTT7ZwcNfSkAA/gZjUZ2eHjY3Ct8TGURuCbOfSfqTNYtDCrY/iLApkCBy5IMLhgkcMbqlcm4HHx4eNiACQ6m0bnpeeh9oefMgNh7dhA/EsPMGv3qjDDtD9LxGop++4rH1vPnXrDxWAJsB/BzeXlpP3/+tMvLS7u9vW3aBCAMfs7Pz2fAT1Ql+IgS+fmc/1Cb9oBbjljwAD9ibLQ0BCeTXFYGG89JJSecrFuOAbBpbWNhP5O71kVL70UOSxRWsh9PWDkc8BSl8npAYGS4hMHbK+iBYs3ewQ8zPkzPckaKm4KZnlJF8quUMVu25DIkL+BooGTgo6UNLoNxcziDVnbOanBc+kLAVcaPzxvnhONhyf37+3ubTCYNeMVsQrN34BOtDuw5EAVDQxGPVfG28UCEMir4vVfzx34U3PILq/nCLj1GhX0JJwt8D+n9pPfh09NT03yL193dXfPEaQAvffgq+lC0T4+FwUAfRmXooj6JX+rH8dnLy4s9PDzY9fW1XV1d2dXVld3f37fW+DGzptn59PTUTk9P7eTkpPGreo99hLHMSXRvqZSAgBSj423DjDaEGR31fR5pwP4Y9seTUjBDi4GPzvry2NiUpLAE+40+0ov56cr+eCxPCVo1sxkA5AVHLkdpJh+hWr6O19fXVnllMpnMPNgUmSV+kyrfeNl3Ds2u2/ihH9VTKlBGjI+WJLQUon02mono1GWtMSPbQFkE++GeIwAfgB8Ewul02gAfXCuOqTOGvPvFA0I6jmbr16cK6zXSaQkQ5efYca0/WroedgXwk3LQfG5sL/hfmSk418fHR7u5ubHr6+vmdXt72wRkZKS85gwCMqZfpx5P85EF4xt9B+Hk4unpye7u7uzq6sp+/fplV1dXdnd3NwN+0O+jZS/sB8dFQO7Kgi8iSVy1jqOKh0oUQ3RfUc+OB3pgy/gOPVk8UYDZHSYOGAQhznJCgzYPs7Yf5oefmtlMwovr8Gxu2SzQQstefU/Wc4gIiNp06qFROEfQcVAsgpoqU88ZjtTstxK5/KWUOn5zcHDgrlWjqHaVLM4iRQ0vAj5a4vIa0b3vzd4BKm7+/f395rEh/ERwGCz0sbu72wAgGBP2OZ1OZ5gmPG/o+fnZzNoOCPcQjouXTpdWBiAFfKLxHIKojXrAx+zdBnUmFYACl5cZ4Grpi8GPggvogEuJfI5RWVWd6/39vV1dXdnl5aVdXl7a1dWV3dzcNDOQzKxhfbDa8Pn5ecNGYBaS6pnHIjWemyp6L2hPIn8OAfi5vb1tGp7B/GCsIZjpBbB5fHzc+h6MXO4cI0ll/inbXBeoVeATEQke8+MBHwY4CoC8shViJbbTpI+TP42Z2gIAG8R7LANj9l5J4XI4rptBr15HNBbe+0XI3Cs8M2OwKOGbRBXpIVEEQAAbddreYyfU+QPNMgUOp86BFOeGh7FFXepdAWBJNrBMibJdvflKgJDXP8Jjw4GVdY3MnMsS/IBZBj8AQF5TLrMR3GSNTIUBsgIfBl3KBmjQHqKUUutehsXfRTV/zg7ByDIroH1WSCR0Wz6W5wCZOucp9nx/ISm5vb1tyi9XV1d2fX3drD0DVheB+Pj4uGF9EJAZ/Cg7NVQ9L1s08LJewPxcXl7ar1+/mqnuHNQi0Kz739bxzUlUQWDxAJCyPLoCOuxKwQ8nfpzgRDPGEBuRbMK24aN11qiZzbSlMIsesenLtMWFPN4iCvLz3NwefefNxOHeDWQSXMv01v3QoIzfswPETaIPY8P1cEOlLuYWZSIphLsu8c6FwawHhgCAUo3P3mwh7A/Ax6y9zgRWg+XnpXHZC4aG89DyGrMFupAizkEZDWaaGPhw9qO9KqXU9TqEQax3jrn7T+lyBT4IZJjZg7GMbIbLyR7r6oEfD0zhr063f3x8bIEfAB+wPrgWnnLNPSi4xzzwM0T9LltSoNjsXSd3d3dNz4830wv2w/0knngB/SOLEgUpP5ICQB4THbE90APiFDM/HCeV+eblWtSvwJdqUsO2yX2xZjYzGSnFXLEfWNY90bvspUrIUf456thjGLxjewPGAwdnzAplFGtmDQPA054V1TKt7j2tWIFPqokrUmgK0a+CTs8FQbNZ3SnzkwI+3sJVfN9wsOH6s9eAZ/beJ6CzjrS+zItmaW8R3xtYch9rkIBt4mDIAZv11dUgV+HUFfCkMqjoxQmGOk8Gilzj1+mvACUPDw+NY0TZC8I27tm12XuJhfvFGFSDYbq9vbXr62u7ublpNTpPp9Pm3AF8zs7OmodsQu9e03OpvjY5WOt9UnIt3GB+c3NjNzc3TW8V+ywtocCG+56jJ1GCxt95+xlCCaxEUqWviAWKWkOU+TF7b3j2WDpvEgCO6bV2cHuDtyo8M+4cp72JSKsCQEt9sGnJCWuZSDP5XO0Tx/Gm73lNmnxcVipoPEWtupbPaDQKF9rDuaRYnqExPyXi6UiBj970uQfXlYybZ3RqZFzaenh4aJqb+anxzAjys4ZOTk6aF4JgaoVg/I2AYWr8VqVzj6mL2D3NHqPMURvQj46OGjADgME9ckgWeKkInk0Z2TKODQeIyQfQLTfLK/PDjA83OWO69fHxcQN8zs/PmwZcLq1qlhuN7ybacCQeKPYE+lJmD0khAupoNGpsjEHlRxmvVUkUF6N46IEhr1VEZ3t5lRR+4Z7gpBf3Aff5pRYu5IQ1FZ9zAGjRsjDw04etiIIqBjiaZaQzVHD8SOHa76MNfF6vgq5HA6eL/gWtW6Zou48grI8c6PGWMOeXsjEYU51BxhkDDA77ALNwf3/f6Or+/t7u7u6amT4IljC+qO8DQZBZwlwQNCvPRtZ5H5RcQwr4ROwPbEFnfEwmk5YDg96YHYqSGbZdBj+8RhR6t5hhgt7BQHBPAwOf8/PzBvhwv4+C3Y9ktznh4JZjWZhh9fodzd4by0seZLqusV4Vs95XNC52iYde+4XaOPveFAuM33Kyy5Mb2AdjZi2v5aZr8HmzeaO1tqJzW6T0Aj+p8o63XYqW9BTMM3i82R7RtOqIxtdApmCLZwdhTRh2trwKMK7H6z9SxUVjMiTDy+koVeZSpoyBiYIUjC0HJ7zAICBTx0wuBqtgFRDsOODxMXh6OxpecQyd7aMMAMpdanzqRDZFIno/coxeo6Q6qoODgwZQjkajZhVts3fww8eAo+THXCizC+FzACB+enpqgVx93Aa+5wdrYj+YZn1+fm6fPn2yT58+2efPn5uZXgjO0bIGPHabpvtS0ev0hIGPrtLOPhhlFF7bJ/Uw00Wee5fvSr5fl3hxkdkW7Vf1EkZddDdiiXKMkvZUKuOKtbVQ/mS/y8AH9ogeS+4v0hmkkQ0uQ+Z+sGlKIkoVDtALrqxcRppRCQUvBj+Kfhm46M3CwEd7Bzzww82yJbSdd6N548Sfrwoc8bh4IIgNIOrt8YAPT3XmzABsjLI+uu4OzgG615l3nGl44AfgFY12MDowAAiEDH50xo9KSZAYgpTcRx7oYNbHm90F4MNNx7g3uO9NATLuD51KznbJeue1SKbT6Qwby8wPB2QsVcHnfnp6ap8+fbIvX740L+g9xfZFiUv02SZIdN4pwMPvX19fW4kHVkvXzB52xmv7MOuXO26VeDkKBiD6Uj/MZX9dIoIrF54/h53CD+IceMV+AB80vWNtLZSdFfjoxBKeYMJ9YausoCyl5yflNBQQeMDHe0yC9uFweQXgB8piR85ru5jNdqMD+Nzc3DRrhVxdXTWK1KZZnknm0XYeavVQ9RCMXxmA6PvI+LTcxUGKKVFmanjNB2UbFIzB0BT8MPCBI2YAxEES++Zl9sEAfPr0qclOsZ6Q9oVhbBSY4fsh6FHFo701mOn3pawPl4F1pW1vpp8Hfrws1Gy27GVmrXuL19VSkGVmLeB2dHRk5+fndnFxYRcXF/bly5eWzrnkxc3tEQDaJOYnYvxS3yFpxDa8Hdjxx8fHVnmDg5yZNaVlZn5Spa9NGtNVSYoU0JmO6oe9ErG2bvDjXjih9/rtOFHhWIzlJa6vr5t4CfDDDCz8CpJPAB6URL2ZtauccbnUhmeIdyGekj3Ao2sGaIDlHpLRaNSadm72brhQKDtoUOZQ4s+fP5tn1VxfX7fKNGaz6wfpqphK2/WRVZbENAh5jjI3s0t7fZj9gREyMMmBH5wTAqeu8QPmh4FP9MBUs/bidufn5/b58+cWC3B2dtY4aG7MVFC47PrzokRBNj5T2zPzp7V7U9sPDw+bceUx1hKU3idsbygn6vjquXDp2OzdfpXp5XIAZ4vQ9+npqX3+/NkuLi7s27dv9vXrV/vy5UtT8irNOrdF2F964IdnePE6Sgx+zazF/nBDedT3U+VdvCqBV9rSuKiJPBj2qBGZ4xknnDj26+tra/kKLXvxiurK+nDzO3w7P1IGE0yU+YlW04cswxbnfqq7fgfRbaLel1RQ5cY6ViKv3MvMD5zfZDJpslTOOjzm4uHhwS4vL+3Hjx/2999/248fP5qFu3h5fAQJNM16C+ItomapWfqqhfXrGWMuI8nNllPwg8DLDtTMZsAPN9rxqs0KeBAMkUmg1MWB8Nu3b3ZxcWGfP39uwA8ctJa8mPFRo+yi33WAWj2md75a8sJ6IN4MPe7H45Io3xMMXnkpCbBwWvLmc9OlKyDYL28znbYXNWVG9vj4uAG6X79+bcCP6lv7fXI9P5sifc/Va5Y1e5/ezuspYYr7ZDJpMUY7O+9rKvFCpRX8lIlnTxHr7pW8mBjwYih+Z/b7PvH6h56enlpJp/r6yWTS9PmknqNnZq3eO0w08NbY0gkHq7C3lTA/kUTd6kyXc/DUPhIEQO7J8foVdnd3w34EBj9//fWX/fz5c6bsBaNGVgkkq7Sdx/x4TjRFRa9SSnoaonPTzD0FZr0mdWYduDEP+4J+GLhyj5ZXBmGjg+5PT0/t4uLCvn79at+/f2/AD4IhN2V6U9uj7GPowTBX0lTwCeYtKj17pTLWId4zra4MqJZVFPzwPYTfMqPDwIgTEl3X6+TkpOn1ge7B+vCzvLhcHZWsvfcesPwo4pVLwfzowoYAPxDO+FHqqFPdfYnIAC/RTFVHUj0/yhAxaOJKCSevk8mkaVBn/XPpi1sPeAkKjsFm1uiel5lAH5hXdk4tNZEiXfrK2sBPjlVgAIRAxz0k2lnOFDj3LejqsxyAX15+P5346urKfvz4YT9+/LDLy8umdglWyex9BWJvKXAP/Ch9p85cx4FlVewPzs1j7CLGQ7NzfWGb6FgQz8B5m7e3t5butPGdG29x/js7O41+9vb2Wn0f379/b15gftD/kVqPBOeo5a9NFZy7B3wiFkfvBW8BRLwH7Q0Ao4yKdwy9t/g42gOE+4D3z+vKIMtEXxf6fVjXKMFxqU8ZJ7WJTdZ5qXiAFDoD48oZP3wkRJlX+MRo7LZhTEuEx9zz+xEo0nIYgxiNdfoeQIUBEHrzuPdRbRXMELNL3N9jZk0yMhqNmhIoJhro0iJa8lpl2Xmh4AeGotkz3ufQLj5jZXklL11XAHVMVoI6TlY6/318fLTr62v79euXXV5eth6IyGwCSii8MB4r0KPPFfDM0wu0DAGwiNgOBTvaFPv6+uquBfP8/NwKiPxeSycKiPA930tcRmEj53OEk+XmOszs+vLli3379q3F/CgTwMxPquThlZI0U/ZklXqPrkGdCpYYUIDj/YZLS9y0eHx8bLe3t3Z8fGx3d3czWaCWsKBLdqi8XQSytPeLgyzKLHhhKQMAIDB8XN7EMaNGS5xrNL5DZ37mzZRZDxhzbjkA465gSZvmudSp++e/VcoqACXjFiXdHJe0nMU+VnvzlH1CEooEhBc5ZV+4u7vbMLGwR15mInqA9KqSjYU+1b3ke297dboQRbbaVIvSF685wfvUxsmovnl3d9eAHtQtzay1QOL+/n4zW8hDsEyfe+v+dO0DWiX7k/qOwQUAD0+X9Bg1NiauOwPU6O9xLKU9vUwHTh2GgpKmmbUoVg585+fnTQmEZ/5wCcQzPAUQkJRePOCfG+dFCoPGCADhfzhESIrRQzaHB/oi+8OUV9T+vcXNIB51r8wPnyc/fw1UPDtjOF6eScKPsYCtYmo7N7XzfaTJytCBTU44kezib/j+4CBp9s646dIi6Ncze3+khbe6szbW4pjbLuwvIntVW8SY62cMOrE/6AbCjA8zQAxw1Nd5AGg6nTbNzHhsBoR9BsAP+i55mQlvjS1tGVnmPbLWnp8oy/QYIgVB3rL33PujAUCBD5dSdIl2dojsgHlpfF0cz5uut2oab17xzo8N6/X190q9XpnK2xcyRp19xQ20DIIw3pqheADJO8+Dg4OmzPX161e7uLho6YvX9+ESCJdVdCxyzE9uHNYhJdfCjhXiOVkFP3iuFzMBZ2dnzarausAZB0+l6HPMD/fY6cQFOF+egIDAC4aWmyuPj48bXes+9J5icLRN4jEGXiBkVu7w8LB5hhvGmRlxjPc6y/tDkhwwVR1wcuKVvxAbEaOYFYWv5Zhk9u7T1Q617MnveRtOTLzYzTGD7THH+nixcpmxc+Hgp5S6i7JrRbuMjLUMhgZofughnC4jXI/i433idzs7Ow2KVeADOh1sgi6R78346sP4DEk4OL69vTUZBQzAC1j84hIHxhRlMV18y8vEzd5pV94nb8cg9fj4uFXiuri4sLOzs6ZMg0DoNTl7jjgC5Er1D1E0gEdMUAR+mPXkBlbQ3Zw43N/f2+npadMAq3rlJmpuvGS959gmZRE4APPDGPn5Y1yaA9DF7/HSTFPH7yNK6p71AhnbuKcb/M/JIS8fwbYcAfNtkBLGWG1BS/H8HraF0i+3fmCNO5AFHJN2d3eb3kmAIG1HUB+nfoL75XiyAB8DtsmPFIpmeeViSeSDI99dInOVvSKUWEr560VFWT7T0VEjNJdW4Nh4n55S+XsEZjNrOXx+ECaDH6wR4ynTYye0t6LrWC9DUj0NfGzczHrDcYBUPXHQ4/FFkyQvUMnlDzZ4s9lSiZm/0CQWMQT4wWwulDu0UZ2DKTsWvkb81Z4VHcOhOHC+v9V5RVkmjzu/1xIugp2WOyeTSQMweJ0PBj/e8hWqd72XPB1z8ywcvM7qxHl7ExMwCwXAjcdmKDpchKSAun4X+V58roFYx/jo6KhhgNQ3eutnbbtEDBi/ZxsEWNdYiH3BN8I2zawBN7A5fQoBHiHEE0een59tZ2enZbdm7ed/4T30z2vcKbjCi58Uz4lINMvLA95KICyKRZyL+dEDRo43+m3qO80+ORgyde6tYaDlFD0nPi92tOr0eXaXPhoBwCcCP4xIPdCVk3UGVWUMzKwFfvC5x3Ix28OzfnDzew+OVfDDBq4zFXBcL7vH2i7c5IqMn5uvS2agRBkHjxFvPwTR+90Dc7o9i14vU9FwqNwT8Pr62mJc0A/ksT7M2HKPnrKsnE3CwXLzLICozjjT7FOdM+5VCO7VlAxJt8uW1Fhops+LvB4fH9t0Om1YV108VB8aWyUWZWM5hry9vc005WtiqOUusDteIgMABLtmwKSMrE4gYtvSuKcgiO+XVIVEx8ADPyXj10WWVvYqcb743KP1tIHLQ4n6XjNY/eshS+84UI4Hfpja9Xp+PGXxmAyJKSgV1gl/5jWpcRkRgXJ/f7/Vq4VSCT+GAtt64EeBFDJNNNJhAS3VDff0KLNgNnuvpoAP30f6/1D06dXsOVuKAJBm/JrpmfnsH5YjYKaUnSf+euuQ6HpAnv3xX52R5S1ngevBPtnps5PVMiqPg+o3Gueh6HxeKfFNsHXYHUoY6PXZ2dmxk5OTmZW0udyoTPg2ShQbzWaTLgZA+I2WabWVg23QAz/8YlvTR9Z4jKwmJPriigeAroLm1NMQciWvrmPMYxfJwlZ47spseAgPwVXpaX4o2vHxcYsxMLNmfRF+CKnSdwqQ1Inq4yq434fXD+FAiwALalf7VSLlDcV5esxdFCw9o+QgAuEZBGDP9DlP/OgLXnTLzFo6wnmwgaN8xuCHARCaLnX6utdTouwWX6enOw8ADVG6sFKsb/zvOd8I/HBGiNmAWmZmlpbtlMuY6pCZomfbYqfKTBFnyNwTxE4Z23iOtuvYfhSJmHEVNK+enZ3ZxcWFPT4+2u7urj0+PtrOzk6zmOi///1v+/btm3369Kk1w44Tp9JzMhuujfUR9R+p7RScm9kM+MG2uM+RUGhlZDweN+Vmfkaft/qzskhs22yjHC+13UPjLCciGmO96kEXtscbu1JZGPOTQ7LRbzgjUNrMbLbswQj36OhoZpVJbqTVrNZTDoMfKFTpXfQNoLyCplmuaXtNzrimrspcl4MtNUrN4qbTqe3t7TXBB6ASZRAYlfccMGaJvGPoWHAjHaY1c+mLgQ8zAsriKNXK2+Tu2SEHwC7G77FXHuBj0KFgmW0J6zgp+OE1u9hGeS0gD+gwAPJYX80edUIDzt27l/gzDjQRu6e/3xZhn4vS1mQysb29Pfv8+bNNJhPb2dlpys54nMinT59a6yp9JBAzj7D/iPyM2h+/5/9hN5hEAj/LSxLwEjEKePSlExUYuLAdai8eV2WUxWFiQ0vVygB5lQSOKbl7qCupsPBFDks+4+8009faJm4UHnRMm+NVnjmjVCWavTMKygRE5TWvvo0pnPxcL6X8FOzozcDj4dGfq5aux/eAArMCWF0Z0y69nizOTrRB3TsG3rO+2PgAdsDSeQ2yyoZ4Dib6G42BSipjXYWOo/NO2SADmsh+lQUya5dJYFfaa4eX9iYwXc/H8LJGdrycFKlt4Vo8thfn612XOkzV4bYAH883gbVDcoPS1t7enp2fnzeLwZpZswwC+iIxyzJV8to2QKRgOrK3lD0q+McsL33UBftXTjq1yZnjJbM+OD6DEtg5ABf3UILZ07igL05wNKnxJs5wghTF0L6y8J6frpmnBiFkGXyxGGyUOrhsgpleEfhhiRwsl6v4vQeAUvVOvVkihZnNOtnU/8uWUgfP23ngh3WFjJ8zD13/RYNj1H/CemOjUb15pROcs94LH9Hxdr2mlBNWYK4gQh0kmD9Pt97n2v/gnQfuJ9ihZoTedSs75W2vbJdedzQmH1GigMx2aWYN+NnZ2bGjoyO7uLhoPVQazB+3J3iLSm679BkDL0aqLehSEtz+AQCkz/nyElCvWuIlodpz5zFUGm8joBORBnx9y7DLXlPd+9ZkPQPw/kfPj9l7MySzBVw6URqPFe8FPI+a815KxauyPQSryo2AD8YiNw7LBkDeOZTWpM3eAyJEGQIYJeuGs31so0GSj6OAUhtf9fisGw2KXaXr+KcyklU4/twxutitloD0d+qMFFxEYKfkmF7mqU3N3j6ja1KgxY78ozM6JZIaN+gAK2zv7+/b8fFxiy3g7Jx7JfuWvD4aSCrxqV1sU30Z28nu7m4r/inr6jE9PEFB94uXlozVLpWx8sBPFH+9z/qMYVdZ+QrPpc4GNBoyOQ6SSvF5D3Rj+hui4EYDsCpYp/jpS1FsCeMzZNHx8nTlAQ58rjc/WDyULHkKJf8mAj/Yfyo7YN2xE6jSXzyWJBKPtckBn+g3/FuI9gBEv/P2z+ev1+ExHfrbTZVUII3Gwfs9Z/mwK9ixFzyVFVC2rkqZ9CUXWFfKuHpASGeLqQ14dsrnFSUSKVDjvfAbvle8/W08+GEpQbhKY2NFS1agKtIDPnxMRbRgKLx+gRQ9p+UzD1gNWSIj4ww5FVw4qGgpA99jPPb3993jR6UQPpY3tmwMHmCaVyoj8C4aMHNj4wHTEqYz+ty7D/keKzm/nD3mAMFHkhKgB1sze09AOXiyPXrgR2fZVeknfdhnb8wjIBQx7vpewUfOtiOA432m3+k5eOe1CJl7qnsX5XgKyW3vMQ1gFHQ9ES97TKFWiAIobOOxOLlArMdUJ52Tvqi/j7AuPb2m0LYGHTUuvm6vTJUDPl6GmjKe1DXqOZdIn7HPZdx999vn+J6U2m0XoDCvRHbjHUNB9SLOZ5X2tiqJ9OwFsFSCU+IPGCRxwshLE3SVHNu4aVLid7pcb852S3yixs1UcuL5XSYMPEbfAzfe3+h9yr+X+NnotyxrY35Kg1AUBPHe21fJACj48abJppBr6bl0vd5VSwoA5UT1AoPiUmVUx8VnanipDL/PtaX+z/22q0PKgYsu4Gto0hckdHVOntPz9Lio4PiRgmwfidhaFQY5UXKZKk/zMfC7FDtfxZdcrCuxDU7eI8be297bT2qmrre9977rNouStZa9IikxCg6eJQMZfc90rWfUXVHptguPTY490t90kYghWoX0ATCbfM/kwEcKoEblqVJH3aeEFUkuQfH2/9FYCJWudgRficCnwbdLvyPr4yMycH2lb4LkMXldfG8OsHjfeSW20vsoJ8u2vcGAHy9D9Ayzq/NUVsNjkrzj95ES0Da0zH/RSLvE6UEWEdhKAOu8zkQ/++iibGC0TW4fZu3x92ap5H5fuv2ixLPVkvHYZNHM3yydmWNCwaJ0tMmM6KKl6zjo/dq1nD3vuHfx96l9dPEzqXja5VxWOtU9tc9I5kV/XkllHqMtKdGk9lei6FU52lL0vYh9RlR57jddAuQygG0X4yqtRS9LurAopdvOM/7esdaZ1Xe9psjJfsRgXVK2Neuuy1xJZRukC8M573YoQXnJfp9YGsW7ZTLZqyqHDob5iSQXRPpkppESGcWmQI73mXeefbOgVUofkJaSiC1JMXneWJYyC1VWL6W2pf+zXhcVDLrKNgbfEumScNUxXI/k7C7ysx5zmQIvkQ2rLS8KAEWxdtmAebDgB4MbDUAOBJUAFtwUUcZTCrR4X965lu4jBUSWIcs6njduyvywYepxuwCbPgG1ZNtlySYEjr7gps9+S+x6UWPWtRdhCPfLKkTtsCTx6FPu+MhjOASBj9WFZFVK2zAU9GD/Ofavjz/W/1eR3PYCP31v4tKyQMngeki21GmXDnLJb5TBWBRwWEQtNSdd9p9iukq/Sx1vntLIMsepy75Lr29dsuhzyNlRzsl6NtMl4Vm2lPqoTRYvEUnpMkpacuztRxmvPtIVdPcVTTK9fZcCl2jfvE3u9ynGqfS4y5TO4OfPP/9cxnlUWYNUXX4sqfr8OFJ1+XGk6nKYMv9SuFWqVKlSpUqVKhsko9o4WqVKlSpVqlTZJqnMT5UqVapUqVJlq6SCnypVqlSpUqXKVkkFP1WqVKlSpUqVrZIKfqpUqVKlSpUqWyUV/FSpUqVKlSpVtkoq+KlSpUqVKlWqbJVU8FOlSpUqVapU2Sqp4KdKlSpVqlSpslVSwU+VKlWqVKlSZavk/wPfEVHeXqbA7wAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 720x846 with 25 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "imgs=[]\n",
     "labels=[]\n",
@@ -368,9 +641,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "End time is : Friday 19 March 2021, 19:59:54\n",
+      "Duration is : 00:01:03 452ms\n",
+      "This notebook ends here\n"
+     ]
+    }
+   ],
    "source": [
     "pwk.end()"
    ]
@@ -400,7 +683,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.9"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,
diff --git a/VAE/01b-VAE-with-MNIST.ipynb b/VAE/01b-VAE-with-MNIST.ipynb
new file mode 100644
index 0000000..5ce8d9a
--- /dev/null
+++ b/VAE/01b-VAE-with-MNIST.ipynb
@@ -0,0 +1,660 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
+    "\n",
+    "# <!-- TITLE --> [VAE1] - First VAE, with a small dataset (MNIST)\n",
+    "<!-- DESC --> Construction and training of a VAE with a latent space of small dimension.\n",
+    "\n",
+    "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
+    "\n",
+    "## Objectives :\n",
+    " - Understanding and implementing a **variational autoencoder** neurals network (VAE)\n",
+    " - Understanding a more **advanced programming model**\n",
+    "\n",
+    "The calculation needs being important, it is preferable to use a very simple dataset such as MNIST to start with.  \n",
+    "...MNIST with a small scale if you haven't a GPU ;-)\n",
+    "\n",
+    "## What we're going to do :\n",
+    "\n",
+    " - Defining a VAE model\n",
+    " - Build the model\n",
+    " - Train it\n",
+    " - Have a look on the train process\n",
+    "\n",
+    "## Acknowledgements :\n",
+    "Thanks to **François Chollet** who is at the base of this example (and the creator of Keras !!).  \n",
+    "See : https://keras.io/examples/generative/vae\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 1 - Init python stuff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       "\n",
+       "div.warn {    \n",
+       "    background-color: #fcf2f2;\n",
+       "    border-color: #dFb5b4;\n",
+       "    border-left: 5px solid #dfb5b4;\n",
+       "    padding: 0.5em;\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;;\n",
+       "    }\n",
+       "\n",
+       "\n",
+       "\n",
+       "div.nota {    \n",
+       "    background-color: #DAFFDE;\n",
+       "    border-left: 5px solid #92CC99;\n",
+       "    padding: 0.5em;\n",
+       "    }\n",
+       "\n",
+       "div.todo:before { content:url(data:image/svg+xml;base64,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+       "    float:left;\n",
+       "    margin-right:20px;\n",
+       "    margin-top:-20px;\n",
+       "    margin-bottom:20px;\n",
+       "}\n",
+       "div.todo{\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;\n",
+       "    margin-top:40px;\n",
+       "}\n",
+       "div.todo ul{\n",
+       "    margin: 0.2em;\n",
+       "}\n",
+       "div.todo li{\n",
+       "    margin-left:60px;\n",
+       "    margin-top:0;\n",
+       "    margin-bottom:0;\n",
+       "}\n",
+       "\n",
+       "div .comment{\n",
+       "    font-size:0.8em;\n",
+       "    color:#696969;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "</style>\n",
+       "\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**FIDLE 2020 - Practical Work Module**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Version              : 2.0.20\n",
+      "Notebook id          : VAE1\n",
+      "Run time             : Saturday 20 March 2021, 18:48:28\n",
+      "TensorFlow version   : 2.2.0\n",
+      "Keras version        : 2.3.0-tf\n",
+      "Datasets dir         : /home/pjluc/datasets/fidle\n",
+      "Run dir              : ./run/VAE1.001\n",
+      "Update keras cache   : False\n"
+     ]
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**FIDLE 2021 - VAE**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Version              : 1.4\n",
+      "TensorFlow version   : 2.2.0\n",
+      "Keras version        : 2.3.0-tf\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "# from skimage import io\n",
+    "# from importlib import reload\n",
+    "\n",
+    "import tensorflow as tf\n",
+    "from tensorflow import keras\n",
+    "from tensorflow.keras import layers\n",
+    "from tensorflow.keras.callbacks import TensorBoard\n",
+    "\n",
+    "# import os,sys,json,time,datetime\n",
+    "# from IPython.display import display,Image,Markdown,HTML\n",
+    "\n",
+    "from modules.models.VAE           import VAE\n",
+    "from modules.layers.SamplingLayer import SamplingLayer\n",
+    "from modules.callbacks            import ImagesCallback, BestModelCallback\n",
+    "from modules.data                 import MNIST\n",
+    "\n",
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "import fidle.pwk as pwk\n",
+    "\n",
+    "run_dir = './run/VAE1.001'\n",
+    "datasets_dir = pwk.init('VAE1', run_dir)\n",
+    "\n",
+    "VAE.about()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 2 - Parameters\n",
+    "With scale=1 : 1'30s on a GPU V100 and >20' on a CPU..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "latent_dim    = 2\n",
+    "loss_weights  = [3,7]\n",
+    "scale         = 0.1\n",
+    "batch_size    = 64\n",
+    "epochs        = 10"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Override parameters (batch mode) - Just forget this cell"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pwk.override('scale', 'latent_dim', 'r_loss_factor', 'batch_size', 'epochs')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 3 - Prepare data\n",
+    "`MNIST.get_data()` return : `x_train,y_train, x_test,y_test`,  \\\n",
+    "but we only need x_train for our training."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Seeded (123)\n",
+      "Dataset loaded.\n",
+      "Concatenated.\n",
+      "Shuffled.\n",
+      "rescaled (0.1).\n",
+      "Normalized.\n",
+      "Reshaped.\n",
+      "splited (0.8).\n",
+      "x_train shape is  :  (5600, 28, 28, 1)\n",
+      "x_test  shape is  :  (1400, 28, 28, 1)\n",
+      "y_train shape is  :  (5600,)\n",
+      "y_test  shape is  :  (1400,)\n",
+      "Blake2b digest is :  b92de405fade06d38f72\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x144 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x_train, _, _, _ = MNIST.get_data(seed=123, scale=scale)\n",
+    "\n",
+    "pwk.plot_images(x_train[:20], None, indices='all', columns=10, x_size=1,y_size=1,y_padding=0, save_as='01-original')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 4 - Build model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Encoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inputs    = keras.Input(shape=(28, 28, 1))\n",
+    "x         = layers.Conv2D(32, 3, strides=1, padding=\"same\", activation=\"relu\")(inputs)\n",
+    "x         = layers.Conv2D(64, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "x         = layers.Conv2D(64, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "x         = layers.Conv2D(64, 3, strides=1, padding=\"same\", activation=\"relu\")(x)\n",
+    "x         = layers.Flatten()(x)\n",
+    "x         = layers.Dense(16, activation=\"relu\")(x)\n",
+    "\n",
+    "z_mean    = layers.Dense(latent_dim, name=\"z_mean\")(x)\n",
+    "z_log_var = layers.Dense(latent_dim, name=\"z_log_var\")(x)\n",
+    "z         = SamplingLayer()([z_mean, z_log_var])\n",
+    "\n",
+    "encoder = keras.Model(inputs, [z_mean, z_log_var, z], name=\"encoder\")\n",
+    "encoder.compile()\n",
+    "# encoder.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Decoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inputs  = keras.Input(shape=(latent_dim,))\n",
+    "x       = layers.Dense(7 * 7 * 64, activation=\"relu\")(inputs)\n",
+    "x       = layers.Reshape((7, 7, 64))(x)\n",
+    "x       = layers.Conv2DTranspose(64, 3, strides=1, padding=\"same\", activation=\"relu\")(x)\n",
+    "x       = layers.Conv2DTranspose(64, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "x       = layers.Conv2DTranspose(32, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "outputs = layers.Conv2DTranspose(1,  3, padding=\"same\", activation=\"sigmoid\")(x)\n",
+    "\n",
+    "decoder = keras.Model(inputs, outputs, name=\"decoder\")\n",
+    "decoder.compile()\n",
+    "# decoder.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### VAE\n",
+    "Our loss function is the weighted sum of two values.  \n",
+    "`reconstruction_loss` which measures the loss during reconstruction.  \n",
+    "`kl_loss` which measures the dispersion.  \n",
+    "\n",
+    "The weights are defined by: `loss_weights=[k1,k2]` where :  \n",
+    "`total_loss = k1*reconstruction_loss + k2*kl_loss`\n",
+    "\n",
+    "In practice, a value of \\[3,7\\] gives good results here.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Init VAE, with loss_weights=[3, 7]\n"
+     ]
+    }
+   ],
+   "source": [
+    "vae = VAE(encoder, decoder, loss_weights)\n",
+    "\n",
+    "vae.compile(optimizer='adam')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 5 - Train\n",
+    "### 5.1 - Add Nice callbacks, home made :-)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# ---- Callback : Save images encoded/generated\n",
+    "#\n",
+    "callback_images = ImagesCallback(encoder=encoder,decoder=decoder, \n",
+    "                                 x=x_train, z_dim=2, \n",
+    "                                 nb_images=5, from_z=True, from_random=True, run_dir=run_dir)\n",
+    "\n",
+    "# ---- Callback : Save best model\n",
+    "#\n",
+    "callback_bestmodel = BestModelCallback( run_dir + '/models/best_model' )\n",
+    "\n",
+    "# ---- Callback : Tensorboard\n",
+    "#\n",
+    "callback_tensorboard = TensorBoard(log_dir=run_dir + '/logs', histogram_freq=1)\n",
+    "\n",
+    "callbacks_list = [callback_images, callback_bestmodel]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 5.2 - Let's train !\n",
+    "With `scale=1`, need 1'15 on a GPU (V100 at IDRIS) ...or 20' on a CPU  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/10\n",
+      "88/88 [==============================] - 5s 61ms/step - loss: 1.1731 - r_loss: 1.1729 - kl_loss: 1.6175e-04\n",
+      "Epoch 2/10\n",
+      "88/88 [==============================] - 5s 58ms/step - loss: 0.8021 - r_loss: 0.8021 - kl_loss: 1.2189e-06\n",
+      "Epoch 3/10\n",
+      "88/88 [==============================] - 5s 55ms/step - loss: 0.7945 - r_loss: 0.7945 - kl_loss: 4.1840e-07\n",
+      "Epoch 4/10\n",
+      "88/88 [==============================] - 5s 55ms/step - loss: 0.7925 - r_loss: 0.7925 - kl_loss: 2.4846e-07\n",
+      "Epoch 5/10\n",
+      "88/88 [==============================] - 5s 60ms/step - loss: 0.7909 - r_loss: 0.7909 - kl_loss: 3.1644e-07\n",
+      "Epoch 6/10\n",
+      "88/88 [==============================] - 5s 61ms/step - loss: 0.7909 - r_loss: 0.7909 - kl_loss: 1.9221e-07\n",
+      "Epoch 7/10\n",
+      "88/88 [==============================] - 5s 62ms/step - loss: 0.7915 - r_loss: 0.7915 - kl_loss: 1.2540e-07\n",
+      "Epoch 8/10\n",
+      "88/88 [==============================] - 6s 63ms/step - loss: 0.7908 - r_loss: 0.7908 - kl_loss: 2.1096e-07\n",
+      "Epoch 9/10\n",
+      "88/88 [==============================] - 6s 63ms/step - loss: 0.7914 - r_loss: 0.7914 - kl_loss: 8.0868e-08\n",
+      "Epoch 10/10\n",
+      "88/88 [==============================] - 6s 64ms/step - loss: 0.7897 - r_loss: 0.7897 - kl_loss: 6.5632e-08\n",
+      "\n",
+      "Duration :  00:00:55 506ms\n"
+     ]
+    }
+   ],
+   "source": [
+    "pwk.chrono_start()\n",
+    "\n",
+    "history = vae.fit(x_train, epochs=epochs, batch_size=batch_size, callbacks=callbacks_list,)\n",
+    "\n",
+    "pwk.chrono_show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 6 - About our training session\n",
+    "### 6.1 - History"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pwk.plot_history(history,  plot={\"Loss\":['loss','r_loss', 'kl_loss']}, save_as='history')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.2 - Reconstruction during training\n",
+    "At the end of each epoch, our callback saved some reconstructed images.  \n",
+    "Where :  \n",
+    "Original image -> encoder -> z -> decoder -> Reconstructed image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Original images :**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x169.2 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Encoded/decoded images**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x846 with 25 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Original images :**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x169.2 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "images_z, images_r = callback_images.get_images( range(0,epochs,2) )\n",
+    "\n",
+    "pwk.subtitle('Original images :')\n",
+    "pwk.plot_images(x_train[:5], None, indices='all', columns=5, x_size=2,y_size=2, save_as=None)\n",
+    "\n",
+    "pwk.subtitle('Encoded/decoded images')\n",
+    "pwk.plot_images(images_r, None, indices='all', columns=5, x_size=2,y_size=2, save_as='02-reconstruct')\n",
+    "\n",
+    "pwk.subtitle('Original images :')\n",
+    "pwk.plot_images(x_train[:5], None, indices='all', columns=5, x_size=2,y_size=2, save_as=None)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.3 - Generation (latent -> decoder)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Generated images from latent space**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x846 with 25 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pwk.subtitle('Generated images from latent space')\n",
+    "pwk.plot_images(images_z, None, indices='all', columns=5, x_size=2,y_size=2, save_as='03-encoded')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "End time is : Saturday 20 March 2021, 18:50:59\n",
+      "Duration is : 00:02:31 134ms\n",
+      "This notebook ends here\n"
+     ]
+    }
+   ],
+   "source": [
+    "pwk.end()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/VAE/modules/Callbacks.py b/VAE/modules/Callbacks.py
new file mode 100644
index 0000000..e8637dd
--- /dev/null
+++ b/VAE/modules/Callbacks.py
@@ -0,0 +1,117 @@
+from tensorflow.keras.callbacks import Callback
+import numpy as np
+import matplotlib.pyplot as plt
+from skimage import io
+import os
+
+class ImagesCallback(Callback):
+    '''
+    Save generated (random mode) or encoded/decoded (z mode) images on epoch end.
+    params:
+        encoder     : encoder
+        decoder     : decoder
+        x           : input images, for z mode (None)
+        z_dim       : size of the latent space, for random mode (None)
+        nb_images   : number of images to save
+        from_z      : save images from z (False)
+        from_random : save images from random (False)
+        filename    : images filename
+        run_dir     : output directory to save images        
+    '''
+    
+   
+    def __init__(self, encoder     = None, 
+                       decoder     = None,
+                       x           = None,
+                       z_dim       = None,
+                       nb_images   = 5,
+                       from_z      = False, 
+                       from_random = False,
+                       filename    = 'image-{epoch:03d}-{i:02d}.jpg',
+                       run_dir     = './run'):
+        
+        # ---- Parameters
+        #
+        self.x           = x[:nb_images]
+        self.z_dim       = z_dim
+        
+        self.nb_images   = nb_images
+        self.from_z      = from_z
+        self.from_random = from_random
+
+        self.filename_z       = run_dir + '/images-z/'      + filename
+        self.filename_random  = run_dir + '/images-random/' + filename
+        
+        self.encoder     = encoder
+        self.decoder     = decoder
+                       
+        if from_z:      os.makedirs( run_dir + '/images-z/',     mode=0o750, exist_ok=True)
+        if from_random: os.makedirs( run_dir + '/images-random/', mode=0o750, exist_ok=True)
+        
+    
+    
+    def save_images(self, images, filename, epoch):
+        '''Save images as <filename>'''
+        
+        for i,image in enumerate(images):
+            
+            image = image.squeeze()  # Squeeze it if monochrome : (lx,ly,1) -> (lx,ly) 
+        
+            filenamei = filename.format(epoch=epoch,i=i)
+            
+            if len(image.shape) == 2:
+                plt.imsave(filenamei, image, cmap='gray_r')
+            else:
+                plt.imsave(filenamei, image)
+
+    
+    
+    def on_epoch_end(self, epoch, logs={}):
+        '''Called at the end of each epoch'''
+        
+        if self.from_random:
+            z      = np.random.normal( size=(self.nb_images,self.z_dim) )
+            images = self.decoder.predict(z)
+            self.save_images(images, self.filename_random, epoch)
+            
+        if self.from_z:
+            z_mean, z_var, z  = self.encoder.predict(self.x)
+            images            = self.decoder.predict(z)
+            self.save_images(images, self.filename_z, epoch)
+
+
+    def get_images(self, epochs=None, from_z=True,from_random=True):
+        '''Read and return saved images. epochs is a range'''
+        if epochs is None : return
+        images_z = []
+        images_r = []
+        for epoch in list(epochs):
+            for i in range(self.nb_images):
+                if from_z:
+                    f = self.filename_z.format(epoch=epoch,i=i)
+                    images_z.append( io.imread(f) )
+                if from_random:
+                    f = self.filename_random.format(epoch=epoch,i=i)
+                    images_r.append( io.imread(f) )
+        return images_z, images_r
+            
+
+    
+                
+class BestModelCallback(Callback):
+
+    def __init__(self, filename= './run_dir/best-model', verbose=0 ):
+        self.filename = filename
+        self.verbose  = verbose
+        self.loss     = np.Inf
+        os.makedirs( os.path.dirname(filename), mode=0o750, exist_ok=True)
+                
+    def on_train_begin(self, logs=None):
+        self.loss = np.Inf
+        
+    def on_epoch_end(self, epoch, logs=None):
+        current = logs.get("loss")
+        if current < self.loss:
+            self.loss = current
+            self.model.save(self.filename)
+            if self.verbose>0: print(f'Saved - loss={current:.6f}')
diff --git a/VAE/modules/VAE.py b/VAE/modules/VAE-old.py
similarity index 100%
rename from VAE/modules/VAE.py
rename to VAE/modules/VAE-old.py
diff --git a/VAE/modules/callbacks.py b/VAE/modules/callbacks.py
deleted file mode 100644
index 2248251..0000000
--- a/VAE/modules/callbacks.py
+++ /dev/null
@@ -1,79 +0,0 @@
-from tensorflow.keras.callbacks import Callback
-import numpy as np
-import matplotlib.pyplot as plt
-
-class ImagesCallback(Callback):
-    '''
-    Save generated or encoded/decoded images on epoch end.
-    params:
-        filename : images filename
-        x : input images for encoded/decoded or None for generated mode
-        nb_images : number of images (if generated mode)
-        z_dim : size of the latent space (if generated mode)
-        encoder : encoder
-        decoder : decoder
-    '''
-    
-   
-    def __init__(self, filename='image-{epoch:03d}-{i:02d}.jpg', 
-                       x=None, nb_images=5, z_dim=None,
-                       encoder=None, decoder=None):
-        self.filename  = filename
-        self.x         = x
-        self.nb_images = nb_images
-        self.z_dim     = z_dim
-        self.encoder   = encoder
-        self.decoder   = decoder
-        if x is not None:
-            if len(x)>100:
-                print('***Warning : The number of images is reduced to 100')
-                self.x=x[:100]
-        
-    def on_epoch_end(self, epoch, logs={}):  
-               
-        # ---- Get latent points
-        #
-        if self.x is None:
-            z = np.random.normal( size=(self.nb_images,self.z_dim) )
-        else:
-            z_mean, z_var, z  = self.encoder.predict(self.x)
-        
-        # ---- Predict an image
-        #
-        images = self.decoder.predict(z)
-        
-        # ---- Save images
-        #
-        for i,image in enumerate(images):
-            
-            # ---- Squeeze it if monochrome : (lx,ly,1) -> (lx,ly) 
-            #
-            image = image.squeeze()
-        
-            # ---- Save it
-            #
-            filename = self.filename.format(epoch=epoch,i=i)
-            
-            if len(image.shape) == 2:
-                plt.imsave(filename, image, cmap='gray_r')
-            else:
-                plt.imsave(filename, image)
-
-
-    
-                
-class BestModelCallback(Callback):
-
-    def __init__(self, filename= 'best-model' ):
-        self.filename = filename
-        self.loss     = np.Inf
-        
-    def on_train_begin(self, logs=None):
-        self.loss = np.Inf
-        
-    def on_epoch_end(self, epoch, logs=None):
-        current = logs.get("loss")
-        if current < self.loss:
-            self.loss = current
-            self.model.save(self.filename)
-            print(f'Saved - loss={current:.6f}')
diff --git a/VAE/modules/callbacks/BestModelCallback.py b/VAE/modules/callbacks/BestModelCallback.py
new file mode 100644
index 0000000..dab441d
--- /dev/null
+++ b/VAE/modules/callbacks/BestModelCallback.py
@@ -0,0 +1,34 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                        BestModelCallback
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# 2.0 version by JL Parouty, feb 2021
+
+from tensorflow.keras.callbacks import Callback
+import numpy as np
+import os
+
+                
+class BestModelCallback(Callback):
+
+    def __init__(self, filename= './run_dir/best-model', verbose=0 ):
+        self.filename = filename
+        self.verbose  = verbose
+        self.loss     = np.Inf
+        os.makedirs( os.path.dirname(filename), mode=0o750, exist_ok=True)
+                
+    def on_train_begin(self, logs=None):
+        self.loss = np.Inf
+        
+    def on_epoch_end(self, epoch, logs=None):
+        current = logs.get("loss")
+        if current < self.loss:
+            self.loss = current
+            self.model.save(self.filename)
+            if self.verbose>0: print(f'Saved - loss={current:.6f}')
diff --git a/VAE/modules/callbacks/ImagesCallback.py b/VAE/modules/callbacks/ImagesCallback.py
new file mode 100644
index 0000000..67afd68
--- /dev/null
+++ b/VAE/modules/callbacks/ImagesCallback.py
@@ -0,0 +1,109 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                            ImageCallback
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# 2.0 version by JL Parouty, feb 2021
+
+from tensorflow.keras.callbacks import Callback
+import numpy as np
+import matplotlib.pyplot as plt
+from skimage import io
+import os
+
+class ImagesCallback(Callback):
+    '''
+    Save generated (random mode) or encoded/decoded (z mode) images on epoch end.
+    params:
+        encoder     : encoder
+        decoder     : decoder
+        x           : input images, for z mode (None)
+        z_dim       : size of the latent space, for random mode (None)
+        nb_images   : number of images to save
+        from_z      : save images from z (False)
+        from_random : save images from random (False)
+        filename    : images filename
+        run_dir     : output directory to save images        
+    '''
+    
+   
+    def __init__(self, encoder     = None, 
+                       decoder     = None,
+                       x           = None,
+                       z_dim       = None,
+                       nb_images   = 5,
+                       from_z      = False, 
+                       from_random = False,
+                       filename    = 'image-{epoch:03d}-{i:02d}.jpg',
+                       run_dir     = './run'):
+        
+        # ---- Parameters
+        #
+        self.x           = x[:nb_images]
+        self.z_dim       = z_dim
+        
+        self.nb_images   = nb_images
+        self.from_z      = from_z
+        self.from_random = from_random
+
+        self.filename_z       = run_dir + '/images-z/'      + filename
+        self.filename_random  = run_dir + '/images-random/' + filename
+        
+        self.encoder     = encoder
+        self.decoder     = decoder
+                       
+        if from_z:      os.makedirs( run_dir + '/images-z/',     mode=0o750, exist_ok=True)
+        if from_random: os.makedirs( run_dir + '/images-random/', mode=0o750, exist_ok=True)
+        
+    
+    
+    def save_images(self, images, filename, epoch):
+        '''Save images as <filename>'''
+        
+        for i,image in enumerate(images):
+            
+            image = image.squeeze()  # Squeeze it if monochrome : (lx,ly,1) -> (lx,ly) 
+        
+            filenamei = filename.format(epoch=epoch,i=i)
+            
+            if len(image.shape) == 2:
+                plt.imsave(filenamei, image, cmap='gray_r')
+            else:
+                plt.imsave(filenamei, image)
+
+    
+    
+    def on_epoch_end(self, epoch, logs={}):
+        '''Called at the end of each epoch'''
+        
+        if self.from_random:
+            z      = np.random.normal( size=(self.nb_images,self.z_dim) )
+            images = self.decoder.predict(z)
+            self.save_images(images, self.filename_random, epoch)
+            
+        if self.from_z:
+            z_mean, z_var, z  = self.encoder.predict(self.x)
+            images            = self.decoder.predict(z)
+            self.save_images(images, self.filename_z, epoch)
+
+
+    def get_images(self, epochs=None, from_z=True,from_random=True):
+        '''Read and return saved images. epochs is a range'''
+        if epochs is None : return
+        images_z = []
+        images_r = []
+        for epoch in list(epochs):
+            for i in range(self.nb_images):
+                if from_z:
+                    f = self.filename_z.format(epoch=epoch,i=i)
+                    images_z.append( io.imread(f) )
+                if from_random:
+                    f = self.filename_random.format(epoch=epoch,i=i)
+                    images_r.append( io.imread(f) )
+        return images_z, images_r
+            
diff --git a/VAE/modules/callbacks/__init__.py b/VAE/modules/callbacks/__init__.py
new file mode 100644
index 0000000..99114d9
--- /dev/null
+++ b/VAE/modules/callbacks/__init__.py
@@ -0,0 +1,2 @@
+from modules.callbacks.BestModelCallback import BestModelCallback
+from modules.callbacks.ImagesCallback    import ImagesCallback
\ No newline at end of file
diff --git a/VAE/modules/data_generator.py b/VAE/modules/data_generator.py
deleted file mode 100644
index a9da3c6..0000000
--- a/VAE/modules/data_generator.py
+++ /dev/null
@@ -1,147 +0,0 @@
-
-# ------------------------------------------------------------------
-#     _____ _     _ _
-#    |  ___(_) __| | | ___
-#    | |_  | |/ _` | |/ _ \
-#    |  _| | | (_| | |  __/       DataGenerator
-#    |_|   |_|\__,_|_|\___|       for clustered CelebA sataset
-# ------------------------------------------------------------------
-# Formation Introduction au Deep Learning  (FIDLE)
-# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
-# ------------------------------------------------------------------
-# Initial version by JL Parouty, feb 2020
-
-
-import numpy as np
-import pandas as pd
-import math
-import os,glob
-import tensorflow as tf
-from tensorflow.keras.utils import Sequence
-from IPython.display import display,Markdown
-
-class DataGenerator(Sequence):
-
-    version = '0.4.1'
-    
-    def __init__(self, clusters_dir='./data', batch_size=32, debug=False, k_size=1):
-        '''
-        Instanciation of the data generator
-        args:
-            cluster_dir : Directory of the clusters files
-            batch_size  : Batch size (32)
-            debug       : debug mode (False)
-        '''
-        if debug : self.about()
-        #
-        # ---- Get the list of clusters
-        #      
-        clusters_name = [ os.path.splitext(f)[0] for f in glob.glob( f'{clusters_dir}/*.npy') ]
-        clusters_size = len(clusters_name)
-        #
-        # ---- Read each cluster description
-        #      because we need the full dataset size
-        #
-        dataset_size  = 0
-        for c in clusters_name:
-            df = pd.read_csv(c+'.csv', header=0)
-            dataset_size+=len(df.index)
-        #
-        # ---- If we only want to use a part of the dataset...
-        #
-        dataset_size = int(dataset_size * k_size)
-        #
-        if debug: 
-            print(f'\nClusters nb  : {len(clusters_name)} files')
-            print(f'Dataset size : {dataset_size}')
-            print(f'Batch size   : {batch_size}')
-
-        #
-        # ---- Remember all of that
-        #
-        self.clusters_dir  = clusters_dir
-        self.batch_size    = batch_size
-        self.clusters_name = clusters_name
-        self.clusters_size = clusters_size
-        self.dataset_size  = dataset_size
-        self.debug         = debug
-        #
-        # ---- Read a first cluster
-        #
-        self.rewind()
-    
-    
-    def rewind(self):
-        self.cluster_i = self.clusters_size
-        self.read_next_cluster()
-
-        
-    def __len__(self):
-        return math.floor(self.dataset_size / self.batch_size)
-
-    
-    def __getitem__(self, idx):
-        #
-        # ---- Get the next item index
-        #
-        i=self.data_i
-        #
-        # ---- Get a batch
-        #
-        batch = self.data[i:i+self.batch_size]
-        #
-        # ---- Cluster is large enough
-        #
-        if len(batch) == self.batch_size:
-            self.data_i += self.batch_size
-            if self.debug: print(f'({len(batch)}) ',end='')
-            return batch,batch
-        #
-        # ---- Not enough...
-        #
-        if self.debug: print(f'({len(batch)}..) ',end='')
-        #
-        self.read_next_cluster()
-        batch2 = self.data[ 0:self.batch_size-len(batch) ]
-        self.data_i = self.batch_size-len(batch)
-        batch  = np.concatenate( (batch,batch2) )
-        #
-        if self.debug: print(f'(..{len(batch2)}) ',end='')
-        return batch, batch
-    
-    
-    def on_epoch_end(self):
-        self.rewind()
-    
-    
-    def read_next_cluster(self):
-        #
-        # ---- Get the next cluster name
-        #      If we have reached the end of the list, we mix and
-        #      start again from the beginning. 
-        #
-        i = self.cluster_i + 1
-        if i >= self.clusters_size:
-            np.random.shuffle(self.clusters_name)
-            i = 0
-            if self.debug : print(f'\n[shuffle!]')
-        #
-        # ---- Read it (images still normalized)
-        #
-        data = np.load( self.clusters_name[i]+'.npy', mmap_mode='r' )
-        #
-        # ---- Remember all of that
-        #
-        self.data      = data
-        self.data_i    = 0
-        self.cluster_i = i
-        #
-        if self.debug: print(f'\n[Load {self.cluster_i:02d},s={len(self.data):3d}] ',end='')
-          
-        
-    @classmethod
-    def about(cls):
-        display(Markdown('<br>**FIDLE 2020 - DataGenerator**'))
-        print('Version              :', cls.version)
-        print('TensorFlow version   :', tf.__version__)
-        print('Keras version        :', tf.keras.__version__)
diff --git a/VAE/modules/layers/SamplingLayer.py b/VAE/modules/layers/SamplingLayer.py
new file mode 100644
index 0000000..f0856c6
--- /dev/null
+++ b/VAE/modules/layers/SamplingLayer.py
@@ -0,0 +1,36 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                            SamplingLayer
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# by JL Parouty (dec 2020), based on François Chollet example
+#
+# Thanks to François Chollet example : https://keras.io/examples/generative/vae
+
+import numpy as np
+import tensorflow as tf
+from tensorflow import keras
+from tensorflow.keras import layers
+from IPython.display import display,Markdown
+
+# Note : https://keras.io/guides/making_new_layers_and_models_via_subclassing/
+
+class SamplingLayer(keras.layers.Layer):
+    '''A custom layer that receive (z_mean, z_var) and sample a z vector'''
+
+    def call(self, inputs):
+        
+        z_mean, z_log_var = inputs
+        
+        batch_size = tf.shape(z_mean)[0]
+        latent_dim = tf.shape(z_mean)[1]
+        
+        epsilon = tf.keras.backend.random_normal(shape=(batch_size, latent_dim))
+        z = z_mean + tf.exp(0.5 * z_log_var) * epsilon
+        
+        return z
\ No newline at end of file
diff --git a/VAE/modules/models/VAE.py b/VAE/modules/models/VAE.py
new file mode 100644
index 0000000..bd9adb1
--- /dev/null
+++ b/VAE/modules/models/VAE.py
@@ -0,0 +1,141 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                              VAE Example
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# by JL Parouty (dec 2020), based on François Chollet example
+#
+# Thanks to François Chollet example : https://keras.io/examples/generative/vae
+
+import numpy as np
+import tensorflow as tf
+from tensorflow import keras
+from tensorflow.keras import layers
+from IPython.display import display,Markdown
+
+# Note : https://keras.io/guides/making_new_layers_and_models_via_subclassing/
+
+
+
+class VAE(keras.Model):
+    '''
+    A VAE model, built from given encoder and decoder
+    '''
+
+    version = '1.4'
+
+    def __init__(self, encoder=None, decoder=None, loss_weights=[3,7], **kwargs):
+        '''
+        VAE instantiation with encoder, decoder and r_loss_factor
+        args :
+            encoder : Encoder model
+            decoder : Decoder model
+            loss_weights : Weight of the loss functions: reconstruction_loss and kl_loss
+            r_loss_factor : Proportion of reconstruction loss for global loss (0.3)
+        return:
+            None
+        '''
+        super(VAE, self).__init__(**kwargs)
+        self.encoder      = encoder
+        self.decoder      = decoder
+        self.loss_weights = loss_weights
+        print(f'Init VAE, with loss_weights={list(self.loss_weights)}')
+
+        
+    def call(self, inputs):
+        '''
+        When we use our model
+        args:
+            inputs : Model inputs
+        return:
+            output : Output of the model 
+        '''
+        z_mean, z_log_var, z = self.encoder(inputs)
+        output               = self.decoder(z)
+        return output
+                
+        
+    def train_step(self, input):
+        '''
+        Implementation of the training update.
+        Receive an input, compute loss, get gradient, update weights and return metrics.
+        Here, our metrics are loss.
+        args:
+            inputs : Model inputs
+        return:
+            loss    : Total loss
+            r_loss  : Reconstruction loss
+            kl_loss : KL loss
+        '''
+        
+        # ---- Get the input we need, specified in the .fit()
+        #
+        if isinstance(input, tuple):
+            input = input[0]
+        
+        k1,k2 = self.loss_weights
+        
+        # ---- Forward pass
+        #      Run the forward pass and record 
+        #      operations on the GradientTape.
+        #
+        with tf.GradientTape() as tape:
+            
+            # ---- Get encoder outputs
+            #
+            z_mean, z_log_var, z = self.encoder(input)
+            
+            # ---- Get reconstruction from decoder
+            #
+            reconstruction       = self.decoder(z)
+         
+            # ---- Compute loss
+            #      Reconstruction loss, KL loss and Total loss
+            #
+            reconstruction_loss  = k1 * tf.reduce_mean( keras.losses.binary_crossentropy(input, reconstruction) )
+
+            kl_loss = 1 + z_log_var - tf.square(z_mean) - tf.exp(z_log_var)
+            kl_loss = tf.reduce_mean(kl_loss) * k2
+            kl_loss *= -0.5 
+
+            total_loss = reconstruction_loss + kl_loss
+
+        # ---- Retrieve gradients from gradient_tape
+        #      and run one step of gradient descent
+        #      to optimize trainable weights
+        #
+        grads = tape.gradient(total_loss, self.trainable_weights)
+        self.optimizer.apply_gradients(zip(grads, self.trainable_weights))
+        
+        return {
+            "loss":     total_loss,
+            "r_loss":   reconstruction_loss,
+            "kl_loss":  kl_loss,
+        }
+    
+    
+    def reload(self,filename):
+        '''Reload a 2 part saved model.'''
+        self.encoder = keras.models.load_model(f'{filename}-enc.h5', custom_objects={'Sampling': Sampling})
+        self.decoder = keras.models.load_model(f'{filename}-dec.h5')
+        print('Reloaded.')
+        
+        
+    def save(self,filename):
+        '''Save model in 2 part'''
+        self.encoder.save(f'{filename}-enc.h5')
+        self.decoder.save(f'{filename}-dec.h5')
+    
+        
+    @classmethod
+    def about(cls):
+        '''Basic whoami method'''
+        display(Markdown('<br>**FIDLE 2021 - VAE**'))
+        print('Version              :', cls.version)
+        print('TensorFlow version   :', tf.__version__)
+        print('Keras version        :', tf.keras.__version__)
diff --git a/VAE2/01-VAE-with-MNIST.ipynb b/VAE2/01-VAE-with-MNIST.ipynb
new file mode 100644
index 0000000..e8a2fe6
--- /dev/null
+++ b/VAE2/01-VAE-with-MNIST.ipynb
@@ -0,0 +1,523 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
+    "\n",
+    "# <!-- TITLE --> [VAE1] - First VAE, with a small dataset (MNIST)\n",
+    "<!-- DESC --> Construction and training of a VAE with a latent space of small dimension.\n",
+    "\n",
+    "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
+    "\n",
+    "## Objectives :\n",
+    " - Understanding and implementing a **variational autoencoder** neurals network (VAE)\n",
+    " - Understanding a more **advanced programming model**\n",
+    "\n",
+    "The calculation needs being important, it is preferable to use a very simple dataset such as MNIST to start with.  \n",
+    "...MNIST with a small scale if you haven't a GPU ;-)\n",
+    "\n",
+    "## What we're going to do :\n",
+    "\n",
+    " - Defining a VAE model\n",
+    " - Build the model\n",
+    " - Train it\n",
+    " - Have a look on the train process\n",
+    "\n",
+    "## Acknowledgements :\n",
+    "Thanks to **François Chollet** who is at the base of this example (and the creator of Keras !!).  \n",
+    "See : https://keras.io/examples/generative/vae\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 1 - Init python stuff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>\n",
+       "\n",
+       "div.warn {    \n",
+       "    background-color: #fcf2f2;\n",
+       "    border-color: #dFb5b4;\n",
+       "    border-left: 5px solid #dfb5b4;\n",
+       "    padding: 0.5em;\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;;\n",
+       "    }\n",
+       "\n",
+       "\n",
+       "\n",
+       "div.nota {    \n",
+       "    background-color: #DAFFDE;\n",
+       "    border-left: 5px solid #92CC99;\n",
+       "    padding: 0.5em;\n",
+       "    }\n",
+       "\n",
+       "div.todo:before { content:url(data:image/svg+xml;base64,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+       "    margin-right:20px;\n",
+       "    margin-top:-20px;\n",
+       "    margin-bottom:20px;\n",
+       "}\n",
+       "div.todo{\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;\n",
+       "    margin-top:40px;\n",
+       "}\n",
+       "div.todo ul{\n",
+       "    margin: 0.2em;\n",
+       "}\n",
+       "div.todo li{\n",
+       "    margin-left:60px;\n",
+       "    margin-top:0;\n",
+       "    margin-bottom:0;\n",
+       "}\n",
+       "\n",
+       "div .comment{\n",
+       "    font-size:0.8em;\n",
+       "    color:#696969;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "</style>\n",
+       "\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**FIDLE 2020 - Practical Work Module**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Version              : 2.0.20\n",
+      "Notebook id          : VAE1\n",
+      "Run time             : Saturday 20 March 2021, 22:34:56\n",
+      "TensorFlow version   : 2.2.0\n",
+      "Keras version        : 2.3.0-tf\n",
+      "Datasets dir         : /home/pjluc/datasets/fidle\n",
+      "Run dir              : ./run/VAE1.001\n",
+      "Update keras cache   : False\n"
+     ]
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**FIDLE 2021 - VAE**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Version              : 1.4\n",
+      "TensorFlow version   : 2.2.0\n",
+      "Keras version        : 2.3.0-tf\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import tensorflow as tf\n",
+    "from tensorflow import keras\n",
+    "from tensorflow.keras import layers\n",
+    "from tensorflow.keras import backend as K\n",
+    "from tensorflow.keras.callbacks import TensorBoard\n",
+    "\n",
+    "from modules.models.VAE  import VAE\n",
+    "from modules.layers      import SamplingLayer, VariationalLossLayer\n",
+    "from modules.callbacks   import ImagesCallback, BestModelCallback\n",
+    "from modules.data        import MNIST\n",
+    "\n",
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "import fidle.pwk as pwk\n",
+    "\n",
+    "run_dir = './run/VAE1.001'\n",
+    "datasets_dir = pwk.init('VAE1', run_dir)\n",
+    "\n",
+    "VAE.about()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 2 - Parameters\n",
+    "With scale=1 : 1'30s on a GPU V100 and >20' on a CPU..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "latent_dim    = 2\n",
+    "loss_weights  = [3,7]\n",
+    "scale         = 0.1\n",
+    "batch_size    = 64\n",
+    "epochs        = 10"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Override parameters (batch mode) - Just forget this cell"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pwk.override('scale', 'latent_dim', 'r_loss_factor', 'batch_size', 'epochs')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 3 - Prepare data\n",
+    "`MNIST.get_data()` return : `x_train,y_train, x_test,y_test`,  \\\n",
+    "but we only need x_train for our training."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Seeded (123)\n",
+      "Dataset loaded.\n",
+      "Concatenated.\n",
+      "Shuffled.\n",
+      "rescaled (0.1).\n",
+      "Normalized.\n",
+      "Reshaped.\n",
+      "splited (0.8).\n",
+      "x_train shape is  :  (5600, 28, 28, 1)\n",
+      "x_test  shape is  :  (1400, 28, 28, 1)\n",
+      "y_train shape is  :  (5600,)\n",
+      "y_test  shape is  :  (1400,)\n",
+      "Blake2b digest is :  b92de405fade06d38f72\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x144 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x_train, _, _, _ = MNIST.get_data(seed=123, scale=scale)\n",
+    "\n",
+    "pwk.plot_images(x_train[:20], None, indices='all', columns=10, x_size=1,y_size=1,y_padding=0, save_as='01-original')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 4 - Build model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Encoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inputs    = keras.Input(shape=(28, 28, 1))\n",
+    "x         = layers.Conv2D(32, 3, strides=1, padding=\"same\", activation=\"relu\")(inputs)\n",
+    "x         = layers.Conv2D(64, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "x         = layers.Conv2D(64, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "x         = layers.Conv2D(64, 3, strides=1, padding=\"same\", activation=\"relu\")(x)\n",
+    "x         = layers.Flatten()(x)\n",
+    "x         = layers.Dense(16, activation=\"relu\")(x)\n",
+    "\n",
+    "z_mean    = layers.Dense(latent_dim, name=\"z_mean\")(x)\n",
+    "z_log_var = layers.Dense(latent_dim, name=\"z_log_var\")(x)\n",
+    "z         = SamplingLayer()([z_mean, z_log_var])\n",
+    "\n",
+    "encoder = keras.Model(inputs, [z_mean, z_log_var, z], name=\"encoder\")\n",
+    "# encoder.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Decoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inputs  = keras.Input(shape=(latent_dim,))\n",
+    "x       = layers.Dense(7 * 7 * 64, activation=\"relu\")(inputs)\n",
+    "x       = layers.Reshape((7, 7, 64))(x)\n",
+    "x       = layers.Conv2DTranspose(64, 3, strides=1, padding=\"same\", activation=\"relu\")(x)\n",
+    "x       = layers.Conv2DTranspose(64, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "x       = layers.Conv2DTranspose(32, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "outputs = layers.Conv2DTranspose(1,  3, padding=\"same\", activation=\"sigmoid\")(x)\n",
+    "\n",
+    "decoder = keras.Model(inputs, outputs, name=\"decoder\")\n",
+    "\n",
+    "# decoder.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### VAE\n",
+    "Our loss function is the weighted sum of two values.  \n",
+    "`reconstruction_loss` which measures the loss during reconstruction.  \n",
+    "`kl_loss` which measures the dispersion.  \n",
+    "\n",
+    "The weights are defined by: `loss_weights=[k1,k2]` where :  \n",
+    "`total_loss = k1*reconstruction_loss + k2*kl_loss`\n",
+    "\n",
+    "In practice, a value of \\[3,7\\] gives good results here.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "x    = keras.Input(shape=(28, 28, 1))\n",
+    "\n",
+    "z_mean, z_log_var, z = encoder(x)\n",
+    "y = decoder(z)\n",
+    "\n",
+    "y = VariationalLossLayer(loss_weights=[3,7])([x, z_mean, z_log_var, y])\n",
+    "\n",
+    "vae=keras.Model(x,y)\n",
+    "\n",
+    "vae.compile(optimizer='adam', loss=None)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 5 - Train\n",
+    "### 5.1 - Add Nice callbacks, home made :-)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# ---- Callback : Save images encoded/generated\n",
+    "#\n",
+    "callback_images = ImagesCallback(encoder=encoder,decoder=decoder, \n",
+    "                                 x=x_train, z_dim=2, \n",
+    "                                 nb_images=5, from_z=True, from_random=True, run_dir=run_dir)\n",
+    "\n",
+    "# ---- Callback : Save best model\n",
+    "#\n",
+    "callback_bestmodel = BestModelCallback( run_dir + '/models/best_model' )\n",
+    "\n",
+    "# ---- Callback : Tensorboard\n",
+    "#\n",
+    "callback_tensorboard = TensorBoard(log_dir=run_dir + '/logs', histogram_freq=1)\n",
+    "\n",
+    "# callbacks_list = [callback_images, callback_bestmodel]\n",
+    "callbacks_list = [callback_images]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 5.2 - Let's train !\n",
+    "With `scale=1`, need 1'15 on a GPU (V100 at IDRIS) ...or 20' on a CPU  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pwk.chrono_start()\n",
+    "\n",
+    "history = vae.fit(x_train, epochs=epochs, batch_size=batch_size, callbacks=callbacks_list,)\n",
+    "\n",
+    "pwk.chrono_show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 6 - About our training session\n",
+    "### 6.1 - History"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pwk.plot_history(history,  plot={\"Loss\":['loss','r_loss', 'kl_loss']}, save_as='history')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.2 - Reconstruction during training\n",
+    "At the end of each epoch, our callback saved some reconstructed images.  \n",
+    "Where :  \n",
+    "Original image -> encoder -> z -> decoder -> Reconstructed image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "images_z, images_r = callback_images.get_images( range(0,epochs,2) )\n",
+    "\n",
+    "pwk.subtitle('Original images :')\n",
+    "pwk.plot_images(x_train[:5], None, indices='all', columns=5, x_size=2,y_size=2, save_as=None)\n",
+    "\n",
+    "pwk.subtitle('Encoded/decoded images')\n",
+    "pwk.plot_images(images_r, None, indices='all', columns=5, x_size=2,y_size=2, save_as='02-reconstruct')\n",
+    "\n",
+    "pwk.subtitle('Original images :')\n",
+    "pwk.plot_images(x_train[:5], None, indices='all', columns=5, x_size=2,y_size=2, save_as=None)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.3 - Generation (latent -> decoder)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pwk.subtitle('Generated images from latent space')\n",
+    "pwk.plot_images(images_z, None, indices='all', columns=5, x_size=2,y_size=2, save_as='03-encoded')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vae.save('foo.h5')\n",
+    "vae = keras.models.load_model('foo.h5', custom_objects={'SamplingLayer': SamplingLayer, 'VariationalLossLayer':VariationalLossLayer})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pwk.end()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/VAE2/02-VAE-with-MNIST.ipynb b/VAE2/02-VAE-with-MNIST.ipynb
new file mode 100644
index 0000000..5ce8d9a
--- /dev/null
+++ b/VAE2/02-VAE-with-MNIST.ipynb
@@ -0,0 +1,660 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
+    "\n",
+    "# <!-- TITLE --> [VAE1] - First VAE, with a small dataset (MNIST)\n",
+    "<!-- DESC --> Construction and training of a VAE with a latent space of small dimension.\n",
+    "\n",
+    "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
+    "\n",
+    "## Objectives :\n",
+    " - Understanding and implementing a **variational autoencoder** neurals network (VAE)\n",
+    " - Understanding a more **advanced programming model**\n",
+    "\n",
+    "The calculation needs being important, it is preferable to use a very simple dataset such as MNIST to start with.  \n",
+    "...MNIST with a small scale if you haven't a GPU ;-)\n",
+    "\n",
+    "## What we're going to do :\n",
+    "\n",
+    " - Defining a VAE model\n",
+    " - Build the model\n",
+    " - Train it\n",
+    " - Have a look on the train process\n",
+    "\n",
+    "## Acknowledgements :\n",
+    "Thanks to **François Chollet** who is at the base of this example (and the creator of Keras !!).  \n",
+    "See : https://keras.io/examples/generative/vae\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 1 - Init python stuff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "    margin-top:-20px;\n",
+       "    margin-bottom:20px;\n",
+       "}\n",
+       "div.todo{\n",
+       "    font-weight: bold;\n",
+       "    font-size: 1.1em;\n",
+       "    margin-top:40px;\n",
+       "}\n",
+       "div.todo ul{\n",
+       "    margin: 0.2em;\n",
+       "}\n",
+       "div.todo li{\n",
+       "    margin-left:60px;\n",
+       "    margin-top:0;\n",
+       "    margin-bottom:0;\n",
+       "}\n",
+       "\n",
+       "div .comment{\n",
+       "    font-size:0.8em;\n",
+       "    color:#696969;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "</style>\n",
+       "\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**FIDLE 2020 - Practical Work Module**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Version              : 2.0.20\n",
+      "Notebook id          : VAE1\n",
+      "Run time             : Saturday 20 March 2021, 18:48:28\n",
+      "TensorFlow version   : 2.2.0\n",
+      "Keras version        : 2.3.0-tf\n",
+      "Datasets dir         : /home/pjluc/datasets/fidle\n",
+      "Run dir              : ./run/VAE1.001\n",
+      "Update keras cache   : False\n"
+     ]
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**FIDLE 2021 - VAE**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Version              : 1.4\n",
+      "TensorFlow version   : 2.2.0\n",
+      "Keras version        : 2.3.0-tf\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "# from skimage import io\n",
+    "# from importlib import reload\n",
+    "\n",
+    "import tensorflow as tf\n",
+    "from tensorflow import keras\n",
+    "from tensorflow.keras import layers\n",
+    "from tensorflow.keras.callbacks import TensorBoard\n",
+    "\n",
+    "# import os,sys,json,time,datetime\n",
+    "# from IPython.display import display,Image,Markdown,HTML\n",
+    "\n",
+    "from modules.models.VAE           import VAE\n",
+    "from modules.layers.SamplingLayer import SamplingLayer\n",
+    "from modules.callbacks            import ImagesCallback, BestModelCallback\n",
+    "from modules.data                 import MNIST\n",
+    "\n",
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "import fidle.pwk as pwk\n",
+    "\n",
+    "run_dir = './run/VAE1.001'\n",
+    "datasets_dir = pwk.init('VAE1', run_dir)\n",
+    "\n",
+    "VAE.about()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 2 - Parameters\n",
+    "With scale=1 : 1'30s on a GPU V100 and >20' on a CPU..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "latent_dim    = 2\n",
+    "loss_weights  = [3,7]\n",
+    "scale         = 0.1\n",
+    "batch_size    = 64\n",
+    "epochs        = 10"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Override parameters (batch mode) - Just forget this cell"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pwk.override('scale', 'latent_dim', 'r_loss_factor', 'batch_size', 'epochs')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 3 - Prepare data\n",
+    "`MNIST.get_data()` return : `x_train,y_train, x_test,y_test`,  \\\n",
+    "but we only need x_train for our training."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Seeded (123)\n",
+      "Dataset loaded.\n",
+      "Concatenated.\n",
+      "Shuffled.\n",
+      "rescaled (0.1).\n",
+      "Normalized.\n",
+      "Reshaped.\n",
+      "splited (0.8).\n",
+      "x_train shape is  :  (5600, 28, 28, 1)\n",
+      "x_test  shape is  :  (1400, 28, 28, 1)\n",
+      "y_train shape is  :  (5600,)\n",
+      "y_test  shape is  :  (1400,)\n",
+      "Blake2b digest is :  b92de405fade06d38f72\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x144 with 20 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x_train, _, _, _ = MNIST.get_data(seed=123, scale=scale)\n",
+    "\n",
+    "pwk.plot_images(x_train[:20], None, indices='all', columns=10, x_size=1,y_size=1,y_padding=0, save_as='01-original')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 4 - Build model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Encoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inputs    = keras.Input(shape=(28, 28, 1))\n",
+    "x         = layers.Conv2D(32, 3, strides=1, padding=\"same\", activation=\"relu\")(inputs)\n",
+    "x         = layers.Conv2D(64, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "x         = layers.Conv2D(64, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "x         = layers.Conv2D(64, 3, strides=1, padding=\"same\", activation=\"relu\")(x)\n",
+    "x         = layers.Flatten()(x)\n",
+    "x         = layers.Dense(16, activation=\"relu\")(x)\n",
+    "\n",
+    "z_mean    = layers.Dense(latent_dim, name=\"z_mean\")(x)\n",
+    "z_log_var = layers.Dense(latent_dim, name=\"z_log_var\")(x)\n",
+    "z         = SamplingLayer()([z_mean, z_log_var])\n",
+    "\n",
+    "encoder = keras.Model(inputs, [z_mean, z_log_var, z], name=\"encoder\")\n",
+    "encoder.compile()\n",
+    "# encoder.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Decoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inputs  = keras.Input(shape=(latent_dim,))\n",
+    "x       = layers.Dense(7 * 7 * 64, activation=\"relu\")(inputs)\n",
+    "x       = layers.Reshape((7, 7, 64))(x)\n",
+    "x       = layers.Conv2DTranspose(64, 3, strides=1, padding=\"same\", activation=\"relu\")(x)\n",
+    "x       = layers.Conv2DTranspose(64, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "x       = layers.Conv2DTranspose(32, 3, strides=2, padding=\"same\", activation=\"relu\")(x)\n",
+    "outputs = layers.Conv2DTranspose(1,  3, padding=\"same\", activation=\"sigmoid\")(x)\n",
+    "\n",
+    "decoder = keras.Model(inputs, outputs, name=\"decoder\")\n",
+    "decoder.compile()\n",
+    "# decoder.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### VAE\n",
+    "Our loss function is the weighted sum of two values.  \n",
+    "`reconstruction_loss` which measures the loss during reconstruction.  \n",
+    "`kl_loss` which measures the dispersion.  \n",
+    "\n",
+    "The weights are defined by: `loss_weights=[k1,k2]` where :  \n",
+    "`total_loss = k1*reconstruction_loss + k2*kl_loss`\n",
+    "\n",
+    "In practice, a value of \\[3,7\\] gives good results here.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Init VAE, with loss_weights=[3, 7]\n"
+     ]
+    }
+   ],
+   "source": [
+    "vae = VAE(encoder, decoder, loss_weights)\n",
+    "\n",
+    "vae.compile(optimizer='adam')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 5 - Train\n",
+    "### 5.1 - Add Nice callbacks, home made :-)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# ---- Callback : Save images encoded/generated\n",
+    "#\n",
+    "callback_images = ImagesCallback(encoder=encoder,decoder=decoder, \n",
+    "                                 x=x_train, z_dim=2, \n",
+    "                                 nb_images=5, from_z=True, from_random=True, run_dir=run_dir)\n",
+    "\n",
+    "# ---- Callback : Save best model\n",
+    "#\n",
+    "callback_bestmodel = BestModelCallback( run_dir + '/models/best_model' )\n",
+    "\n",
+    "# ---- Callback : Tensorboard\n",
+    "#\n",
+    "callback_tensorboard = TensorBoard(log_dir=run_dir + '/logs', histogram_freq=1)\n",
+    "\n",
+    "callbacks_list = [callback_images, callback_bestmodel]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 5.2 - Let's train !\n",
+    "With `scale=1`, need 1'15 on a GPU (V100 at IDRIS) ...or 20' on a CPU  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/10\n",
+      "88/88 [==============================] - 5s 61ms/step - loss: 1.1731 - r_loss: 1.1729 - kl_loss: 1.6175e-04\n",
+      "Epoch 2/10\n",
+      "88/88 [==============================] - 5s 58ms/step - loss: 0.8021 - r_loss: 0.8021 - kl_loss: 1.2189e-06\n",
+      "Epoch 3/10\n",
+      "88/88 [==============================] - 5s 55ms/step - loss: 0.7945 - r_loss: 0.7945 - kl_loss: 4.1840e-07\n",
+      "Epoch 4/10\n",
+      "88/88 [==============================] - 5s 55ms/step - loss: 0.7925 - r_loss: 0.7925 - kl_loss: 2.4846e-07\n",
+      "Epoch 5/10\n",
+      "88/88 [==============================] - 5s 60ms/step - loss: 0.7909 - r_loss: 0.7909 - kl_loss: 3.1644e-07\n",
+      "Epoch 6/10\n",
+      "88/88 [==============================] - 5s 61ms/step - loss: 0.7909 - r_loss: 0.7909 - kl_loss: 1.9221e-07\n",
+      "Epoch 7/10\n",
+      "88/88 [==============================] - 5s 62ms/step - loss: 0.7915 - r_loss: 0.7915 - kl_loss: 1.2540e-07\n",
+      "Epoch 8/10\n",
+      "88/88 [==============================] - 6s 63ms/step - loss: 0.7908 - r_loss: 0.7908 - kl_loss: 2.1096e-07\n",
+      "Epoch 9/10\n",
+      "88/88 [==============================] - 6s 63ms/step - loss: 0.7914 - r_loss: 0.7914 - kl_loss: 8.0868e-08\n",
+      "Epoch 10/10\n",
+      "88/88 [==============================] - 6s 64ms/step - loss: 0.7897 - r_loss: 0.7897 - kl_loss: 6.5632e-08\n",
+      "\n",
+      "Duration :  00:00:55 506ms\n"
+     ]
+    }
+   ],
+   "source": [
+    "pwk.chrono_start()\n",
+    "\n",
+    "history = vae.fit(x_train, epochs=epochs, batch_size=batch_size, callbacks=callbacks_list,)\n",
+    "\n",
+    "pwk.chrono_show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Step 6 - About our training session\n",
+    "### 6.1 - History"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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bf9IGDqPTmDF07NOr1qML4VCIVR9+TOEHb9M352tahotjvuaKToMIH3ki/U85uc7CSbyVFhezaPp0Bs95lUxXur+9ILU560+8hOEXXtBY5nw02HDwO+BWYJxz7sOo9kxgG/C+c+7MSvZvDuwB/uWcO6vctj8BtwCDnHOV3lWjWuFg8unVfl819tc3K9y0Zs0azjjjDMaPH8+nn37KK6+8Qu/evX19osPBfffdx5NPPumVPHkyN910E3v27GHChAnk5OQQCoW47bbbuOiii/j5z3/Oq6++SlpaGqeeeir33HNPlaXWdzgoKSpi85LlFCxbSunalWRuXU+ngo20L919UMcttlS2Z7RhV/N2FLXuQCirI6kdu9CsSzdaZ3cnq2ePev1F5cJhlr/zHilvvsCAgjUHbF/Vpiclp36fQaee0lh+6SSVhh4IqrJr2w42fPklhYsX0iJnOd0L1sf8Y13ejrSWbGrfh+I+3uhCjzGjyGjevNJ9cr9eRN6/36DHii/oULIrZp/VrXuwa9Sx9Dnz7EY9zyZvzTry/jKVIVsX+9pXtO1Dix/eTPdhgxNUWbU12HDwFnAy0MI5V1Ru28d4f9g7VXGM2cBxeKcWXgRK8U4rPIQ3InF5VXU09HDQr18/PvnkE77zndjfHsvCwdq1a5k0aRKfffYZzjmOPPJInn32WVatWsWbb77J448/DkBBQQGhUIijjjqKJUuWYGbk5+fTrl27Kkutq3DgwmF2bNhE3uLF7Fu1nLQNa2m7PZcu+/IqnfFfkfzUFhRktmNvqyxK2nrn+jM6d6FFt+6069mDNp07Ndg/sqs//YLCf/6NoVsWH7Atp3knCsadx5DzziE1jpdvyYEaeyCoTKi0lE3fLGX71/OwyOhCt6LtVe5XQgq5rbqxMzK60PnQw+jYpyfbczaw/o3XaL/w4wo/q80Z7dg05Ci6nH4WXQcNiPdbSqjFr71Bp9en0TEqDJWQwjcjTmbI1T9uyCMiDTYcLAA6O+cOWMDazJ4HLgSaOecqjLhmlg08BZwU1eyA3+NNaqzyDTb0cDB+/HhWr15dYZ+ycDBjxgy2bdvGnXfeCcBtt91Gp06dOP300znttNOYMGECZ599NscddxylpaUcdthhHH744Zx11lmcffbZZFRjxm08wkHRnr1sXryUgmVLcetX0WLrejrv2kSbqJnAVR7DUtncojM7s7oT6tCF1E6dyezSjVbZ2bTvmV3lt5vGYMOixWz/+wyGrP/qgHO0W9PbsPGIMxg0YUKDnIXeWG1atoLN/3mr0kBQQiorOzW+QFCVnXnb2Dj3KwqXLKBFznJ6FOTEvFdBeTvSWtKmdG/MU3k7UzNZ0/tQWo8/nT5HHt5gA3k87Nu5i2WPBRmxZLbvs9ic0Y6C701h0CknJrC6CjXYeyu0ACqaOVMY1aey8a8iYBWQC7yJFwwuAH4VOcbvK9rRzKYAU6655pqqK63kD3i0ffkFNM+P/UsllpClULpuDeHUVFxqOqSnk5KeQWpGBmkZ3jfDltX85V9RDho0aBBffvklb7zxBr/4xS849dRTuf322/niiy945513eO6553jooYd49913q113teoJh8lbs45tixdTtHoF6ZvWkrVjI52LttOrBnMCtqa3YVvbbhR16U167360GzKULgP70SvJvzl3Hz6U7sN/R96a9Wx4/lkGLv9k/y/rTiU76fTxLHZ+9ipLR55I34mXNLaJUA1G+UAQa2EiLxAMJHTocfQ55WSGJEkgiNamYwfanH4KnH4K4I0u5CxazI7587BVS+i4dRVdI6sGRssqd2+DYktlRZdhpBx9Ev1PGs8hTWShr+ZtWjPqJz8jZ/6ZlEz/M3135QDQpTifLrP+xDcf/IuuP7o5IZdj1kajHjkwsxbAPOAr59zEctuei+w/zDm3tLI64jkhsWj3bsIF+aSESkl1paRVfrFFpRywImcj5/1wCnPeexfS0rH0dFIyMkjLaEZKWipmtn/kYN26dQecVnjmmWfo0qUL7du3JzMzk1deeYXp06fz7LPPsnfvXjp37sz27dsZMGAA27dXPaxY0WeyJ7+Azd8sZveKZbB+Na225dBl9+Zqndcss8/S2dSqC7s79MD16EOrAYPoMnwYLbPa1eBTS14787ax+rmZ9F3wzgGLxOyzdJYNPJoeEy+jQ6+eCaqw8aj+CMG3gSBZRggOxs4teWyY+yVFSxfSMnc52QW5+wPrirZ9KDzsePqecUaT/282HAqxaObf6PvhC74ro/akZLDyqPMZfvllpKYl+rs50IBHDjYAw8ysWfk5B0A2kFfZKQXg+8BA4Bcxtr2AdznjsUCl4SCemrVqBa1a7X8eDoUoLSoiVFyMKymB0hJSQqWkhEtJC4dIqeQbtAHphDAcLYr3HDB+EiKF0pRUXCjE3s2bGNKrF5dOnMjYsWMxMyZPnsyYMWN46623uOWWW0hJSSE9PZ1HHnmEXbt2ce6551JYWIhzjqlTp1br/Tnn2LRkGTuWLKF47UqabVpH+4INdC4uoF81P6MwsKVZe7a3605Jt95k9OlPx6FD6dCnF30b6OVLDUGbjh0Ydd31FO66iq9feJ7uc96kY4m3jEdzV8KoZe9TcueHLOx5KO0vvLwxTIaqV2WBIGvJF/RqwiMEB6NN5460OfM0OPM0wLvaZsOyFTTPaseA7t0SXF3DkZKaysjLL6PglFNY+Mj9jMj9LwAtw8Uc8vFzrJ33AXbF9fQ6bEyCK61YokcOqrpa4QPn3BmV7P8L4A/ARc6558ttuwh4Dvixc+4vldWRqEsZnXOESkoIFRUTLvHCg5WWkBIuJTV88KMOpZZKKCUNl5qGS0vH0rxRh9RmGaSmpeGtH1WxUEkJJYWFhAsLsZJiUkpLWLluLcOm31XtOnalZLK5dVf2duqJ9exLm0GD6TJkMJmtW1W9s1SqtLiYpa/8g3Yfvkp2uWuuw8DSzsNofu7F9DlybGIKbADKB4JY9geCMcfQ55RTmvy3Xom/Fe+9T6u//4WuUZM+QxiLBh5L/x9dl8hRqQY7cjAL7yqDm/AWPSpzNd5cgxllDWbWDWgLrHPOlS0t903k8Uq8VRWjXRl5nBPfkuPHzEjLyKhw6c1wKERpcTHhYi88UFKKhUq84FCdUQcXIj0UglDRAaMOYYySlFRCKem4tDTvlEVKCq64mJTSYtJCJaS5EOW/x1sFr1lKCpubdyA/qzul3frQvN8AOg4dRlaPbrRO4klIiZSWkcHwCRfivn8BS9/+N+lv/51+O9cDkAIM3fINPH4bK57vQ/j0Cxl40viknhC2J7+AzYu+YffypVjOatptWV3hzY3KB4IhCgRShwaMP57i7xzJ/CceZ+j8N8lw3s2cDln+Idt//l/WnX4FQ845u0H999kQVkh8EG/p45eBN/BWSLwB+Bg4sWxhIzObjvcHf7xzbnakLRX4BDgCL1y8iPd38Xy8yxtfcM5NqKqGxrII0pFHHklR0bdnX5xzPPnYYwwbOAhXWoyVlmKhslGHUMWR8CAsztlA12cfZGubbhR27klKz360HTSYLkMGkdE8sw5eUWpi1UefUPLaLAbnHXgmbX2LLuw6/jwGn3N2o74MMhwKsWXlarYvXkzJmpU027R2/6mtymiEQBqCTUuXs+uvUxm4Y5WvfWmHgbSf8j906t+3PstpmJcywv4/8DcBU/DurZCHN6Jwu3Nud1S/6ZQLB5H21nhzDs4H+uKNqC8HngHucy5q+aoKNJZwUBPhcJhQUTGhslGH0hKs1AsOqeHSaq0g6I0upBFOy8ClZ5DSLJOV69YyfMSIengHcjByv17EjhefZWjuvAP+v96S0Y5N3zmTIRde2OAv+Sw/GtA6L4cue7ZU6xI7UCCQhsmFw3zz0itk//tZ3z1WiiyNJWPOYNgPJ9fX7dwbbjhoCJIxHFTGOUe4tHT/KYuyiZLmwt7chIxmpGY2J71ZxgHDXMn6mSSrravWsPH5Zxm88jOalcvJ+aktWDvqJPpPvIRW7bMSVKGntqMB0UpJYVPzDhS070Fp99407zeQ7MMPUyCQBmv39h2sevRBRqz6xHfzrA2ZHdl3UYD+xx1d1yUoHFSmqYWDg6HPpHEq2LyFNc/NpN+i9w645e/elAyWDzqWnhMvq5drsA92NAC8Ney3tOnG3s69SO3Zj7aDh+jUljRaaz6fQ+qMhw64rHZhz8Ppdc1NdbnEtMJBZRQOqk+fSeO2b+culs96jh5fvnXA/SlKSGVJ78PoNOFyug4eeNCvVTejAYPoNHwoWbpsTpJMqKSEhU89xaDP/+ELyjtTM1l7/ERGTJxQFxMWFQ4qo3BQffpMkkNJURFLX36ZDh/+k25F/jv2hYElXUfQ6rxL6XV49a7D1miASHxsW7eeLY/ez9Ati3ztK9v0IvOqm8geOSyeL6dwUJmGHA7WrFnD2WefzcKFC/e3zZ49m3vuuYfXXnst5j7Tp09n7ty5PPTQQ3GvpyF8JhI/4VCIZW+8SeY7L9Fnd+4B25dn9YMzJjDghHFYSopGA0TqyZI33qLDP5+gU2ShM/D+21k07ESGX3dDhZfA11CDXedARBIoJTWVId89C3fWGaz86BNCrz3HoO0r9m8fuGMVzPwj616ZRjgljS57ttDVlcRcOyCWikYDejTPpEfdvCWRpDDkzNMoPO4Y5j/2CMMXv0caYdII02LjqnpZelnhoJpGPjWyzo694MoF1eq3atUqLrjgAi655JJqH3vt2rX84Ac/YOvWrXTq1Ilp06bRq1cvXnjhBX7zm9+QmppK27Zt+eCDD1i0aBFXXXUVxcXFhMNhXnzxRQYOPPhzz9LwWUoK/ccdC+OOZf1/57PzpZkM2fj1/ssgK1pdsExlowFagFikdjJbt2LU/95C7tdnUjT9fnrs2kDryTfXy2JJCgeNxNKlS5k4cSLTpk0jPz+f999/v1r7XXfddVxxxRVceeWVPPnkk9xwww288sor3Hnnnbz11ltkZ2eTn58PwKOPPsqNN97IpZdeSnFxMaFQqA7fkTRUPceMgjGj2LJiFZtmPcOQNV+Q4b79t6DRAJH6lX3IcMJ3P0ru1wvpGYfJwtWhcNAIbN26lXPPPZcXX3yR4cOHM3v27Grv++mnn/LSSy8BcPnll/PTn/4UgGOOOYZJkyYxYcIEzj//fACOOuoofv/735OTk8P555+vUYMmrvOAfnS+9dfkb9zM8k8/Jb11G40GiCRISmqqF9zricJBNVV36L8utG3blp49e/Lxxx8zfPjwgzpW2c2WHn30UT7//HNef/11Ro8ezbx587jkkks48sgjef311znttNP461//yoknnhiPtyCNWLtuXWh3/nmJLkNE6lHDucuDVCgjI4NXXnmFp59+mpkzZ9Zo36OPPprnnnsOgBkzZnDssccCsHLlSo488kjuvPNOOnbsyPr161m1ahX9+vXjhhtu4JxzzuHrr7+O+3sREZGGT+GgkWjZsiWvvfYaU6dOpaCg+peNPfDAA0ybNo1DDjmEZ555hj//+c8A3HLLLYwcOZIRI0Ywbtw4Ro0axaxZsxgxYgSjR49myZIlXHHFFXX1dkREpAHTOgc07HUOGhp9JiIiSaPCdQ40ciAiIiI+mpDYiE2bNm3/aYIyxxxzDA8//HCCKhIRkWSgcFAF59z+Gf4NzVVXXcVVV11Vb6+nU1AiIk2DTitUIjMzk23btumPIl4w2LZtG5mZugmOiEiy08hBJXr06EFOTg5bt25NdCkNQmZmJj16aA08EZFkp3BQifT0dPr27ZvoMkREROqVTiuIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiE/Cw4GZpZjZzWa2xMwKzWy9md1rZi1rcIw0M7vBzL4ysz1mVhD53z+qy9pFRESSUVqiCwCmAjcALwP3AkMjz8eY2cnOuXBlO5tZBvAqMB6YATyK974GAr3rsG4REZGklNBwYGbDgeuBl5xzF0S1rwYeACYCM6s4zG3AycApzrn36qpWERGRpiLRpxUuBgy4v1z748Be4LLKdo6cergR+Idz7j3ztK6LQkVERJqKRIeDsUAY+CK60TlXCMyLbK/McUBr4Esz+zOwE9hpZlvN7A9m1hBOm4iIiDQqiQ4H3YE851xRjG25QMfInIKKDI483gRcAPwUuAj4BPgF8ERlL25mU8xsbk2LFhERSWaJDgctgFjBAKAwqk9Fyk4htAdOds494px73jl3LjAbuMLMhlW0s3PuMefc4TWsWUREJKklOhzsBZpVsC0zqk9F9kUeP3POLSm37enI4/G1rE1ERKRJSnQ42IB36iBWQMjGO+VQXMn+OZHHTTG2bYw8Zh1EfSIiIk1OosPBnEgNR0Q3mlkmMBqoaj5A2UTGHjG2lbVtOYj6REREmpxEh4NZgMObUBjtary5BjPKGsysm5kNMbP9cxCcc6uBj4EjzOzQqL6pkWOUAm/XWfUiIiJJKKHhwDm3AHgYON/MXjKzyWZ2L3Af8D7+BZDuAhZTbpQBbxGlvcB/zOwOM7s+su8RwB+cc+vq+n2IiIgkk4awDsBNwBpgCnAWkAc8CNxe1dLJAM65/5rZ0cDvIsfKxAsRVznnptdJxSIiIkks4eHAORfCu6fCvVX0mwRMqmDb18A58a5NRESkKUr0nAMRERFpYBQORERExEfhQERERHwUDkRERMRH4UBERER8FA5ERETER+FAREREfBQORERExEfhQERERHwUDkRERMRH4UBERER8FA5ERETER+FAREREfBQORERExEfhQERERHwUDkRERMRH4UBERER8FA5ERETER+FAREREfBQORERExEfhQERERHwUDkRERMRH4UBERER8FA5ERETER+FAREREfBQORERExEfhQERERHwUDkRERMRH4UBERER8FA5ERETER+FAREREfBQORERExEfhQERERHwUDkRERMRH4UBERER8FA5ERETEJ62mOwQCgSygG7AyGAwWRbVfBZwH7AHuDwaDX8SrSBEREak/tRk5+APwefS+gUDgeuCvwHeBicDsQCAwLC4VioiISL2qTTg4BngnGAzui2r7CZALjAMmRNr+5yBrExERkQSo8WkFIBt4p+xJZISgJ/CzYDD4UaTtQrygICIiIo1MbUYOmgOFUc+PARzwn6i2lXghQkRERBqZ2oSDXGBI1PPTgJ3A/Ki2LCD6tIOIiIg0ErU5rfAecGUgELgObwThHODFYDAYjuozAFgfh/pERESkntVm5OAuYDfwZ+AxvIBwR9nGQCDQGTge+CQO9YmIiEg9q3E4CAaDq4HhwI3ADcCIYDC4NKpLb+BhYHo8ChQREZH6Zc65RNeQcIFAwAEEg8FElyIiIlJfrKINtZlzEFMgEOgIHAfsBf4TDAZD8Tq2iIiI1J8an1YIBALXBAKBzwOBQPuotsOAxcDfgTeATwKBQMv4lSkiIiL1pTYTEi8CXDAY3B7Vdjfe5YvT8MLBWODHB1+eiIiI1LfahIOBwNdlTyKnE44HnggGg5ODweB3gTnAJfEpUUREROpTbcJBB2BL1PNjIo8vR7V9iHfVgoiIiDQytQkH24GOUc+PB8L41zVwQOZB1CUiIiIJUpurFRYD3w0EArcCIbw5CHOCweDOqD59gE0HX56IiIjUt9qMHPwZ6Abk4C2R3BXYv0BAIBBIBY7Ff68FERERaSRqs0Liq3hXIiwClgI/CQaDz0Z1ORnvlMJbcalQRERE6pVWSEQrJIqISJNU4QqJtTmtEFdmlmJmN5vZEjMrNLP1ZnavmdVqESUze97MnJktjHetIiIiTUGtl08OBALfASYDY4B2QAHwJTAtGAzW5I6MU/Fu4PQycC8wNPJ8jJmd7JwLV7ZzNDM7G7gA2FeD1xcREZEotRo5CAQCvwM+Bn6AFw76AqOBHwIfBgKBP1TnOGY2HLgeeMk5d75z7nHn3P8A/wOMByZWtyYza4U3MfJh/OswiIiISA3U5t4KFwK/BNbhjRz0A5pHHidH2n8WCAQmVONwF+Od87i/XPvjeDdwuqwGpf0ebyTkVzXYR0RERMqpzWmF64HNwNhgMJgX1b4GeDIQCLwKLASuBZ6v4lhj8RZQ+iK60TlXaGbzIturZGZHANcBFzvndppVOMdCREREqlCb0wqjgL+XCwb7RdpfwDvNUJXuQJ5zrijGtlygo5llVHYAM0vDG2l42zlXVRgpv+8UM5tbk31ERESSXW3CQRrekH9l9lK9UYkWQKxgAFAY1acyt+DdDOraaryej3PuMefc4TXdT0REJJnVJhysAM4OBAIx9420nwmsrMax9gLNKtiWGdUnJjMbANwO/N45t6oaryciIiJVqE04+Bve5Yb/CAQCA6M3BAKB/sDfgWHAzGocawPeqYNYASEb75RDcSX734t3I6iXzWxA2Q/eqEVG5Hm3atQhIiIiEbWZkHgfcDpwFnBGIBDYAGzEu8dCNl7g+CjSrypzgFOBI/Bu8wyAmWXizVn4oIr9e+PNW1hUwfblwOvA2dWoRURERKjdvRWKgVOAW4HVQA+8qwp6Rp7fCpwU6VeVWXi3d76pXPvVeHMNZpQ1mFk3MxtiZtFzEH4CXBjjZyveTaEuBO6q2TsUERFp2g763gqBQKAV0BYoCAaDuyNtmUBGuds4xy7A7EG8yxBfBt7g2xUSPwZOLFsh0cymA1cC451zs6s45hpgt3NuRDXfg+6tICIiTU2F1/3XevnkMpFAsLtc8yPA5dU8/k14ayRMwTtVkQc8CNxek6WTRUREJD4OOhxUolorETnnQngTC++tot8kYFI1j9mnOv1ERETkQAm/K6OIiIg0LAoHIiIi4qNwICIiIj4KByIiIuKjcCAiIiI+1bpaIRAIhOq6EBEREWkYqnspY7UuSyzn4FZXEhERkYSoVjgIBoM6/SAiItJE6I++iIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIj8KBiIiI+CgciIiIiI/CgYiIiPgoHIiIiIiPwoGIiIj4KByIiIiIT8LDgZmlmNnNZrbEzArNbL2Z3WtmLauxb5aZ3Whmb0f222dmS83sMTPrWR/1i4iIJJuEhwNgKnAf8A1wPfACcAPwTzOrqr4jgXsBBzwEXAe8AVwGLDCzYXVVtIiISLJKS+SLm9lwvEDwknPugqj21cADwERgZiWHWAIMds6tLHfc14F/A3cC34933SIiIsks0SMHFwMG3F+u/XFgL94IQIWcc2vKB4NI+3+A7cCI+JQpIiLSdCQ6HIwFwsAX0Y3OuUJgXmR7jZlZW6A1sPkg6xMREWlyEh0OugN5zrmiGNtygY5mllGL4/4KSAeeOpjiREREmqJEh4MWQKxgAFAY1afazOz7wP8CbwHTqug7xczm1uT4IiIiyS7R4WAv0KyCbZlRfarFzM4EZgBfAhOcc66y/s65x5xzh1f3+CIiIk1BosPBBrxTB7ECQjbeKYfi6hzIzE4HXgIWAac653bGr0wREZGmI9HhYE6khiOiG80sExgNVGvI38xOA17Gu7TxZOfcjviWKSIi0nQkOhzMwlvA6KZy7VfjzTWYUdZgZt3MbIiZ+eYgmNmpwCvAMuAk59z2uixYREQk2SV0ESTn3AIzexi4zsxewlvdcCjeConv418A6S7gSmA8MBvAzA4H/oG3VsI04AwzK/8az9btuxAREUkuCQ0HETcBa4ApwFlAHvAgcLtzLlzFviP4duLi1Ar6KByIiIjUQMLDgXMuhHd/hHur6DcJmFSubTowvW4qExERaZoSPedAREREGhiFAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER+FAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER+FAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER+FAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER+FAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER+FAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER+FAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER+FAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER+FAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER+FAxEREfFROBARERGfhIcDM0sxs5vNbImZFZrZejO718xa1uAYZ5rZJ2a2x8y2m9kLZta3LusWERFJVgkPB8BU4D7gG+B64AXgBuCfZlZlfWZ2PvAa0By4BbgbGAd8bGbd66poERGRZJWWyBc3s+F4geAl59wFUe2rgQeAicDMSvZPBx4E1gPHOed2R9r/BXwJ3AFMqav6RUREklFCwwFwMWDA/eXaHwf+CFxGJeEAOB7oDtxeFgwAnHPzzGw2cJGZXeucK4ln0ZVZv3M9Ly5/sb5eTkREmpAxncdwfM/j6/x1Eh0OxgJh4IvoRudcoZnNi2yvan+AT2Ns+ww4ERgELDq4Mqtvw54NPLHwifp6ORERaUIuG3pZvYSDRM856A7kOeeKYmzLBTqaWUYV+5f1jbU/QHZFO5vZFDObW61KRUREmohEjxy0AGIFA4DCqD7FlexPBccoLNfnAM65x4DHAoGAq6LOauvRugc3HnpjvA4nIiKy3/AOw+vldRIdDvYCnSvYlhnVp7L9AZrVcv+4y26VzeSRk+vzJUVEROIq0acVNuCdOoj1xz0b75RDRaMGZfuX9Y21P8Q+5SAiIiIVSHQ4mBOp4YjoRjPLBEYDVc0HmBN5PCrGtu8AO4FlB1eiiIhI05LocDALcMBN5dqvxpsrMKOswcy6mdkQM4ueQ/A+sBGYbGatovqOAk4AXqjPyxhFRESSQULDgXNuAfAwcL6ZvWRmk83sXrwVE9/Hv8bBXcBiokYZIn/4bwR6Ah+aWcDMfg68DWwFfl0/70RERCR5JHpCInijBmvwVjI8C8jDW/XwdudcuKqdnXMvmNk+4FfAPXhXLrwD/Mw5p/kGIiIiNZTwcOCcCwH3Rn4q6zcJmFTBttfw7q8gIiIiBynRcw5ERESkgVE4EBERER+FAxEREfFROBAREREfhQMRERHxSfjVCg1JIBBIdAkiIiL1xQWDQYu1QSMHIiIi4mPOxe1uxRLFzOY65w5PdB3JTp9z/dFnXT/0OdcPfc6V08iBiIiI+CgciIiIiI/CQd15LNEFNBH6nOuPPuv6oc+5fuhzroTmHIiIiIiPRg5ERETER+FAREREfBQO4sjMUszsZjNbYmaFZrbezO41s5aJri1ZmNkgM7vTzD4zs61mtsvM5pnZrfqc65aZtTCz1WbmzOyhRNeTTMysvZndY2YrIr87tprZe2Z2XKJrSxZm1srMfmlmCyK/N/LM7BMzm2RmMRcCasq0QmJ8TQVuAF4G7gWGRp6PMbOTnXPhRBaXJH4AXAu8CswASoDxwO+ACWb2HefcvgTWl8zuBDomuohkY2a9gdlAK+AJYBnQFjgEyE5cZcnDzFKAfwFHA08BDwItgIuBaXi/q3+WsAIbIE1IjBMzGw4sAF52zl0Q1X498ABwqXNuZqLqSxZmdjiw3DlXUK79d8CtwPXOOX2rjTMzOxT4AvgpXvB92Dl3XWKrSg5m9iHQBzjCObcxweUkJTM7CvgEuN85d3NUewawBGjvnGuXoPIaJJ1WiJ+LAQPuL9f+OLAXuKy+C0pGzrm55YNBxKzI44j6rKcpMLNUvH/HbwIvJbicpGJm44BjgT855zaaWbqZtUh0XUmoTeRxQ3Sjc64YyAP21HtFDZzCQfyMBcJ43672c84VAvMi26Xu9Ig8bk5oFcnpZmAIoJGC+Dsz8rjOzP4J7AP2mNkyM9MXivj5AsgHfmpmF5pZLzMbbGZ3AYcBdySyuIZI4SB+ugN5zrmiGNtygY6RISyJs8g329uBUkCnbuLIzPoCvwHudM6tSXA5yWhw5PFxoD1wJfBDoBh4xsyuSlRhycQ5twM4B9gOPA+sxTudcC1wgXPu8QSW1yBpQmL8tABiBQOAwqg+xfVTTpNyP/Ad4JfOuaUJriXZPAKsBu5LdCFJqnXkcRcwPjLMjZm9DKwC/mBmT2kyc1zsBhbiTWb+BC+MXQvMNLNznXP/TmRxDY1GDuJnL9Csgm2ZUX0kjszst3jD3Y855+5KdD3JJDKsfSrwY+dcSaLrSVJlV9b8rSwYwP5vuq8CXfl2dEFqycxG4gWCfzvnbnHOveycewJvvscm4PHICKREKBzEzwa8UwexAkI23ikHjRrEkZndAfwK71KkHye2muQS+Xd8H/AGsMnMBpjZAKB3pEvbSFu7RNWYJHIij5tibCu7ciGrnmpJZjfjfUl7IbrRObcXeB3v33Wf+i+r4VI4iJ85eJ/nEdGNZpYJjAbmJqCmpGVmvwZ+DTwNTHa6JjfemgOdgLOA5VE/syPbL4s8n5yI4pJI2QTmHjG2lbVtqadaklnZehGxRgfSyj0KCgfxNAtwwE3l2q/Gm2swo74LSlZmdjve7OJngKt0PrZO7AEujPETiGx/M/L81YRUlzxewZtvcJmZtSprNLNuwHl4a3qsSExpSeWbyOOk6MbIyNe5wA5gZf2W1LBpEaQ4MrMH8c5/v4w3HFu2QuLHwIn6I3bwzOxa4CFgHXAb3uWj0TZrYlHdMbM+eBMUtQhSnJjZFOAvwCLgSSADuAboBpztnHs7geUlhcgqlF/hnaKZgfc7uT3el7c+wLXOuWDCCmyANIwSXzcBa4ApeMOxeXjLdN6uYBA3ZetF9MJbBrW89wGFA2k0nHOPmVke3uqTv8ULvJ8ClzjnPk5ocUnCObfWzI7Au+T5JGAi3mTQecD/Oue0uFc5GjkQERERH805EBERER+FAxEREfFROBAREREfhQMRERHxUTgQERERH4UDERER8VE4EBERER8tgiQiSSMQCNyBd8+N8cFgcHZiqxFpvBQORGS/QCBQnVXR9IdXJMkpHIhILL+pZNua+ipCRBJD4UBEDhAMBu9IdA0ikjgKByJSa9Hn+IHeeDcfG4J3G+LXgF8Gg8FNMfYbiHdXzZOATng3KfsP8NtgMLg8Rv9UvDvoXQ6MwLtzYS4wG/i/Cvb5Pt7NjEYAhcDbwP8Gg8Hcg3jLIk2CrlYQkXi4GXgUmA/cDywFrgI+CQQCnaI7BgKBscBc4DJgDnAP8BlwKTA3EAgcXq5/BvAm8AjQE5gJPAB8CXwPOCZGPQHgWbxTIA8DC4GLgP8EAoFmB/tmRZKdRg5E5ACREYFYCoPB4B9jtJ8BHBkMBv8bdYypeCMJfwR+GGkz4GmgDXBZMBicEdX/IuA54NlAIDAsGAyW3eb8DuBk4J/AhcFgsChqn2aRY5V3OjA2GAwuiOo7E7gYOBd4vqL3LiIaORCR2H5dwc/PK+j/THQwiLgDKAAuifq2fjTeaYdPo4MBQDAYnAV8BAwGjoX9pxMCwD7gx9HBILJPUTAY3Bqjngeig0HE45HHIyp4DyISoZEDETlAMBi0Gu7yfoxjFAQCgXnA8cBQYB5waGTzuxUc5128YDAG+AAvSLQFPg8GgxtqUM/cGG3rI49ZNTiOSJOkkQMRiYfNFbSXTUZsW+5xYwX9y9rblXus6STC/BhtpZHH1BoeS6TJUTgQkXjoUkF718hjQbnHrjH6AnQr1y8/8phd68pEpMYUDkQkHo4v3xAIBNoCo/EuI1wcaS6bl3BCBccpa/8q8rgELyAcEggEuh98mSJSHQoHIhIPlwcCgTHl2u7AO43wt6iJhB/jXeZ4bGQdgv0iz8cBy/AmJhIMBkNAEGgOPFr+MsRAIJBR/lJJETl4mpAoIgeo5FJGgFeCweC8cm3/Aj4OBALP480bODbys4aoKxyCwaALBAJXAv8GZgUCgX/gjQ4MBs7DWzzpiqjLGMFbyvlI4LvAskAg8FqkX0/gVOAWYHot3qaIVEDhQERi+XUl29bgXXkQbSrwMt66BhcBu/H+YP8yGAxuie4YDAY/jyyE9Cu89Qu+i7dC4t/wVkhcWq5/cSAQOB34MXAFcCVgwIbIa35U0zcnIpUz56pzEzYRkQPpFskiyUlzDkRERMRH4UBERER8FA5ERETER3MORERExEcjByIiIuKjcCAiIiI+CgciIiLio3AgIiIiPgoHIiIi4qNwICIiIj7/DyJ0gkJq4asUAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pwk.plot_history(history,  plot={\"Loss\":['loss','r_loss', 'kl_loss']}, save_as='history')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.2 - Reconstruction during training\n",
+    "At the end of each epoch, our callback saved some reconstructed images.  \n",
+    "Where :  \n",
+    "Original image -> encoder -> z -> decoder -> Reconstructed image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Original images :**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x169.2 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Encoded/decoded images**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x846 with 25 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Original images :**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x169.2 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "images_z, images_r = callback_images.get_images( range(0,epochs,2) )\n",
+    "\n",
+    "pwk.subtitle('Original images :')\n",
+    "pwk.plot_images(x_train[:5], None, indices='all', columns=5, x_size=2,y_size=2, save_as=None)\n",
+    "\n",
+    "pwk.subtitle('Encoded/decoded images')\n",
+    "pwk.plot_images(images_r, None, indices='all', columns=5, x_size=2,y_size=2, save_as='02-reconstruct')\n",
+    "\n",
+    "pwk.subtitle('Original images :')\n",
+    "pwk.plot_images(x_train[:5], None, indices='all', columns=5, x_size=2,y_size=2, save_as=None)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 6.3 - Generation (latent -> decoder)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "<br>**Generated images from latent space**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x846 with 25 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pwk.subtitle('Generated images from latent space')\n",
+    "pwk.plot_images(images_z, None, indices='all', columns=5, x_size=2,y_size=2, save_as='03-encoded')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "End time is : Saturday 20 March 2021, 18:50:59\n",
+      "Duration is : 00:02:31 134ms\n",
+      "This notebook ends here\n"
+     ]
+    }
+   ],
+   "source": [
+    "pwk.end()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/VAE2/foo.h5 b/VAE2/foo.h5
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diff --git a/VAE2/modules/AE.py b/VAE2/modules/AE.py
new file mode 100644
index 0000000..29ea6f6
--- /dev/null
+++ b/VAE2/modules/AE.py
@@ -0,0 +1,59 @@
+import numpy as np
+import tensorflow as tf
+from tensorflow import keras
+from tensorflow.keras import layers
+
+# See : https://keras.io/api/models/model/
+# See :https://keras.io/guides/customizing_what_happens_in_fit/
+    
+class AE(keras.Model):
+    
+    def __init__(self, encoder=None, decoder=None, **kwargs):
+        super(AE, self).__init__(**kwargs)
+        self.encoder = encoder
+        self.decoder = decoder
+        
+    def call(self, inputs):
+        z = self.encoder(inputs)
+        y_pred = self.decoder(z)
+        return y_pred
+        
+        
+    def train_step(self, data):
+        
+        x, y = data
+        
+        with tf.GradientTape() as tape:
+            z      = self.encoder(x)
+            y_pred = self.decoder(z)
+            # Compute the loss value
+            loss = self.compiled_loss(y, y_pred, regularization_losses=self.losses)
+        
+        # ---- Compute gradients
+        #
+        trainable_vars = self.trainable_variables
+        gradients = tape.gradient(loss, trainable_vars)
+        
+        # ---- Update weights
+        #
+        self.optimizer.apply_gradients(zip(gradients, trainable_vars))
+        
+        # ---- Update metrics (includes the metric that tracks the loss)
+        #
+        self.compiled_metrics.update_state(y, y_pred)
+        
+        # ---- Return a dict mapping metric names to current value
+        #
+        return {m.name: m.result() for m in self.metrics}
+#         return {"loss":loss}
+
+
+    
+    def reload(self,filename):
+        self.encoder = keras.models.load_model(f'{filename}-enc.h5')
+        self.decoder = keras.models.load_model(f'{filename}-dec.h5')
+        print('Reloaded.')
+        
+    def save(self,filename):
+        self.encoder.save(f'{filename}-enc.h5')
+        self.decoder.save(f'{filename}-dec.h5')
\ No newline at end of file
diff --git a/VAE2/modules/Callbacks.py b/VAE2/modules/Callbacks.py
new file mode 100644
index 0000000..e8637dd
--- /dev/null
+++ b/VAE2/modules/Callbacks.py
@@ -0,0 +1,117 @@
+from tensorflow.keras.callbacks import Callback
+import numpy as np
+import matplotlib.pyplot as plt
+from skimage import io
+import os
+
+class ImagesCallback(Callback):
+    '''
+    Save generated (random mode) or encoded/decoded (z mode) images on epoch end.
+    params:
+        encoder     : encoder
+        decoder     : decoder
+        x           : input images, for z mode (None)
+        z_dim       : size of the latent space, for random mode (None)
+        nb_images   : number of images to save
+        from_z      : save images from z (False)
+        from_random : save images from random (False)
+        filename    : images filename
+        run_dir     : output directory to save images        
+    '''
+    
+   
+    def __init__(self, encoder     = None, 
+                       decoder     = None,
+                       x           = None,
+                       z_dim       = None,
+                       nb_images   = 5,
+                       from_z      = False, 
+                       from_random = False,
+                       filename    = 'image-{epoch:03d}-{i:02d}.jpg',
+                       run_dir     = './run'):
+        
+        # ---- Parameters
+        #
+        self.x           = x[:nb_images]
+        self.z_dim       = z_dim
+        
+        self.nb_images   = nb_images
+        self.from_z      = from_z
+        self.from_random = from_random
+
+        self.filename_z       = run_dir + '/images-z/'      + filename
+        self.filename_random  = run_dir + '/images-random/' + filename
+        
+        self.encoder     = encoder
+        self.decoder     = decoder
+                       
+        if from_z:      os.makedirs( run_dir + '/images-z/',     mode=0o750, exist_ok=True)
+        if from_random: os.makedirs( run_dir + '/images-random/', mode=0o750, exist_ok=True)
+        
+    
+    
+    def save_images(self, images, filename, epoch):
+        '''Save images as <filename>'''
+        
+        for i,image in enumerate(images):
+            
+            image = image.squeeze()  # Squeeze it if monochrome : (lx,ly,1) -> (lx,ly) 
+        
+            filenamei = filename.format(epoch=epoch,i=i)
+            
+            if len(image.shape) == 2:
+                plt.imsave(filenamei, image, cmap='gray_r')
+            else:
+                plt.imsave(filenamei, image)
+
+    
+    
+    def on_epoch_end(self, epoch, logs={}):
+        '''Called at the end of each epoch'''
+        
+        if self.from_random:
+            z      = np.random.normal( size=(self.nb_images,self.z_dim) )
+            images = self.decoder.predict(z)
+            self.save_images(images, self.filename_random, epoch)
+            
+        if self.from_z:
+            z_mean, z_var, z  = self.encoder.predict(self.x)
+            images            = self.decoder.predict(z)
+            self.save_images(images, self.filename_z, epoch)
+
+
+    def get_images(self, epochs=None, from_z=True,from_random=True):
+        '''Read and return saved images. epochs is a range'''
+        if epochs is None : return
+        images_z = []
+        images_r = []
+        for epoch in list(epochs):
+            for i in range(self.nb_images):
+                if from_z:
+                    f = self.filename_z.format(epoch=epoch,i=i)
+                    images_z.append( io.imread(f) )
+                if from_random:
+                    f = self.filename_random.format(epoch=epoch,i=i)
+                    images_r.append( io.imread(f) )
+        return images_z, images_r
+            
+
+    
+                
+class BestModelCallback(Callback):
+
+    def __init__(self, filename= './run_dir/best-model', verbose=0 ):
+        self.filename = filename
+        self.verbose  = verbose
+        self.loss     = np.Inf
+        os.makedirs( os.path.dirname(filename), mode=0o750, exist_ok=True)
+                
+    def on_train_begin(self, logs=None):
+        self.loss = np.Inf
+        
+    def on_epoch_end(self, epoch, logs=None):
+        current = logs.get("loss")
+        if current < self.loss:
+            self.loss = current
+            self.model.save(self.filename)
+            if self.verbose>0: print(f'Saved - loss={current:.6f}')
diff --git a/VAE2/modules/VAE-old.py b/VAE2/modules/VAE-old.py
new file mode 100644
index 0000000..65ce7f4
--- /dev/null
+++ b/VAE2/modules/VAE-old.py
@@ -0,0 +1,91 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                              VAE Example
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# by JL Parouty (dec 2020), based on François Chollet example
+#
+# See : https://keras.io/examples/generative/vae
+
+import numpy as np
+import tensorflow as tf
+from tensorflow import keras
+from tensorflow.keras import layers
+from IPython.display import display,Markdown
+
+# Note : https://www.tensorflow.org/guide/keras/save_and_serialize#custom_objects
+
+class Sampling(keras.layers.Layer):
+    '''A custom layer that receive (z_mean, z_var) and sample a z vector'''
+
+    def call(self, inputs):
+        z_mean, z_log_var = inputs
+        batch = tf.shape(z_mean)[0]
+        dim   = tf.shape(z_mean)[1]
+        epsilon = tf.keras.backend.random_normal(shape=(batch, dim))
+        return z_mean + tf.exp(0.5 * z_log_var) * epsilon
+    
+
+class VAE(keras.Model):
+    '''A VAE model, built from given encoder, decoder'''
+
+    version = '1.2'
+
+    def __init__(self, encoder=None, decoder=None, r_loss_factor=0.3, **kwargs):
+        super(VAE, self).__init__(**kwargs)
+        self.encoder = encoder
+        self.decoder = decoder
+        self.r_loss_factor = r_loss_factor
+        print(f'Init VAE, with r_loss_factor={self.r_loss_factor}')
+
+        
+    def call(self, inputs):
+        z_mean, z_log_var, z = self.encoder(inputs)
+        y_pred = self.decoder(z)
+        return y_pred
+                
+        
+    def train_step(self, input):
+        
+        if isinstance(input, tuple):
+            input = input[0]
+            
+        with tf.GradientTape() as tape:
+            z_mean, z_log_var, z = self.encoder(input)
+            reconstruction       = self.decoder(z)
+            reconstruction_loss  = tf.reduce_mean( keras.losses.binary_crossentropy(input, reconstruction) )
+            kl_loss = 1 + z_log_var - tf.square(z_mean) - tf.exp(z_log_var)
+            kl_loss = tf.reduce_mean(kl_loss)
+            kl_loss *= -0.5
+            total_loss = self.r_loss_factor*reconstruction_loss + (1-self.r_loss_factor)*kl_loss
+            
+        grads = tape.gradient(total_loss, self.trainable_weights)
+        self.optimizer.apply_gradients(zip(grads, self.trainable_weights))
+        
+        return {
+            "loss":     total_loss,
+            "r_loss":   reconstruction_loss,
+            "kl_loss":  kl_loss,
+        }
+    
+    
+    def reload(self,filename):
+        self.encoder = keras.models.load_model(f'{filename}-enc.h5', custom_objects={'Sampling': Sampling})
+        self.decoder = keras.models.load_model(f'{filename}-dec.h5')
+        print('Reloaded.')
+        
+    def save(self,filename):
+        self.encoder.save(f'{filename}-enc.h5')
+        self.decoder.save(f'{filename}-dec.h5')
+        
+    @classmethod
+    def about(cls):
+        display(Markdown('<br>**FIDLE 2021 - VAE**'))
+        print('Version              :', cls.version)
+        print('TensorFlow version   :', tf.__version__)
+        print('Keras version        :', tf.keras.__version__)
diff --git a/VAE2/modules/callbacks/BestModelCallback.py b/VAE2/modules/callbacks/BestModelCallback.py
new file mode 100644
index 0000000..dab441d
--- /dev/null
+++ b/VAE2/modules/callbacks/BestModelCallback.py
@@ -0,0 +1,34 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                        BestModelCallback
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# 2.0 version by JL Parouty, feb 2021
+
+from tensorflow.keras.callbacks import Callback
+import numpy as np
+import os
+
+                
+class BestModelCallback(Callback):
+
+    def __init__(self, filename= './run_dir/best-model', verbose=0 ):
+        self.filename = filename
+        self.verbose  = verbose
+        self.loss     = np.Inf
+        os.makedirs( os.path.dirname(filename), mode=0o750, exist_ok=True)
+                
+    def on_train_begin(self, logs=None):
+        self.loss = np.Inf
+        
+    def on_epoch_end(self, epoch, logs=None):
+        current = logs.get("loss")
+        if current < self.loss:
+            self.loss = current
+            self.model.save(self.filename)
+            if self.verbose>0: print(f'Saved - loss={current:.6f}')
diff --git a/VAE2/modules/callbacks/ImagesCallback.py b/VAE2/modules/callbacks/ImagesCallback.py
new file mode 100644
index 0000000..67afd68
--- /dev/null
+++ b/VAE2/modules/callbacks/ImagesCallback.py
@@ -0,0 +1,109 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                            ImageCallback
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# 2.0 version by JL Parouty, feb 2021
+
+from tensorflow.keras.callbacks import Callback
+import numpy as np
+import matplotlib.pyplot as plt
+from skimage import io
+import os
+
+class ImagesCallback(Callback):
+    '''
+    Save generated (random mode) or encoded/decoded (z mode) images on epoch end.
+    params:
+        encoder     : encoder
+        decoder     : decoder
+        x           : input images, for z mode (None)
+        z_dim       : size of the latent space, for random mode (None)
+        nb_images   : number of images to save
+        from_z      : save images from z (False)
+        from_random : save images from random (False)
+        filename    : images filename
+        run_dir     : output directory to save images        
+    '''
+    
+   
+    def __init__(self, encoder     = None, 
+                       decoder     = None,
+                       x           = None,
+                       z_dim       = None,
+                       nb_images   = 5,
+                       from_z      = False, 
+                       from_random = False,
+                       filename    = 'image-{epoch:03d}-{i:02d}.jpg',
+                       run_dir     = './run'):
+        
+        # ---- Parameters
+        #
+        self.x           = x[:nb_images]
+        self.z_dim       = z_dim
+        
+        self.nb_images   = nb_images
+        self.from_z      = from_z
+        self.from_random = from_random
+
+        self.filename_z       = run_dir + '/images-z/'      + filename
+        self.filename_random  = run_dir + '/images-random/' + filename
+        
+        self.encoder     = encoder
+        self.decoder     = decoder
+                       
+        if from_z:      os.makedirs( run_dir + '/images-z/',     mode=0o750, exist_ok=True)
+        if from_random: os.makedirs( run_dir + '/images-random/', mode=0o750, exist_ok=True)
+        
+    
+    
+    def save_images(self, images, filename, epoch):
+        '''Save images as <filename>'''
+        
+        for i,image in enumerate(images):
+            
+            image = image.squeeze()  # Squeeze it if monochrome : (lx,ly,1) -> (lx,ly) 
+        
+            filenamei = filename.format(epoch=epoch,i=i)
+            
+            if len(image.shape) == 2:
+                plt.imsave(filenamei, image, cmap='gray_r')
+            else:
+                plt.imsave(filenamei, image)
+
+    
+    
+    def on_epoch_end(self, epoch, logs={}):
+        '''Called at the end of each epoch'''
+        
+        if self.from_random:
+            z      = np.random.normal( size=(self.nb_images,self.z_dim) )
+            images = self.decoder.predict(z)
+            self.save_images(images, self.filename_random, epoch)
+            
+        if self.from_z:
+            z_mean, z_var, z  = self.encoder.predict(self.x)
+            images            = self.decoder.predict(z)
+            self.save_images(images, self.filename_z, epoch)
+
+
+    def get_images(self, epochs=None, from_z=True,from_random=True):
+        '''Read and return saved images. epochs is a range'''
+        if epochs is None : return
+        images_z = []
+        images_r = []
+        for epoch in list(epochs):
+            for i in range(self.nb_images):
+                if from_z:
+                    f = self.filename_z.format(epoch=epoch,i=i)
+                    images_z.append( io.imread(f) )
+                if from_random:
+                    f = self.filename_random.format(epoch=epoch,i=i)
+                    images_r.append( io.imread(f) )
+        return images_z, images_r
+            
diff --git a/VAE2/modules/callbacks/__init__.py b/VAE2/modules/callbacks/__init__.py
new file mode 100644
index 0000000..99114d9
--- /dev/null
+++ b/VAE2/modules/callbacks/__init__.py
@@ -0,0 +1,2 @@
+from modules.callbacks.BestModelCallback import BestModelCallback
+from modules.callbacks.ImagesCallback    import ImagesCallback
\ No newline at end of file
diff --git a/VAE2/modules/layers/SamplingLayer.py b/VAE2/modules/layers/SamplingLayer.py
new file mode 100644
index 0000000..f0856c6
--- /dev/null
+++ b/VAE2/modules/layers/SamplingLayer.py
@@ -0,0 +1,36 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                            SamplingLayer
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# by JL Parouty (dec 2020), based on François Chollet example
+#
+# Thanks to François Chollet example : https://keras.io/examples/generative/vae
+
+import numpy as np
+import tensorflow as tf
+from tensorflow import keras
+from tensorflow.keras import layers
+from IPython.display import display,Markdown
+
+# Note : https://keras.io/guides/making_new_layers_and_models_via_subclassing/
+
+class SamplingLayer(keras.layers.Layer):
+    '''A custom layer that receive (z_mean, z_var) and sample a z vector'''
+
+    def call(self, inputs):
+        
+        z_mean, z_log_var = inputs
+        
+        batch_size = tf.shape(z_mean)[0]
+        latent_dim = tf.shape(z_mean)[1]
+        
+        epsilon = tf.keras.backend.random_normal(shape=(batch_size, latent_dim))
+        z = z_mean + tf.exp(0.5 * z_log_var) * epsilon
+        
+        return z
\ No newline at end of file
diff --git a/VAE2/modules/layers/VariationalLossLayer.py b/VAE2/modules/layers/VariationalLossLayer.py
new file mode 100644
index 0000000..4de04a3
--- /dev/null
+++ b/VAE2/modules/layers/VariationalLossLayer.py
@@ -0,0 +1,60 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                            SamplingLayer
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# by JL Parouty (dec 2020), based on François Chollet example
+#
+# Thanks to François Chollet example : https://keras.io/examples/generative/vae
+
+import numpy as np
+import tensorflow as tf
+from tensorflow import keras
+from tensorflow.keras import layers
+from IPython.display import display,Markdown
+
+# Note : https://keras.io/guides/making_new_layers_and_models_via_subclassing/
+
+class VariationalLossLayer(keras.layers.Layer):
+   
+    def __init__(self, loss_weights=[3,7]):
+        super().__init__()
+        self.k1 = loss_weights[0]
+        self.k2 = loss_weights[1]
+
+
+    def call(self, inputs):
+        
+        # ---- Retrieve inputs
+        #
+        x, z_mean, z_log_var, y = inputs
+        
+        # ---- Compute : reconstruction loss
+        #
+        r_loss  = tf.reduce_mean( keras.losses.binary_crossentropy(x,y) ) * self.k1
+        #
+        # ---- Compute : kl_loss
+        #
+        kl_loss = 1 + z_log_var - tf.square(z_mean) - tf.exp(z_log_var)
+        kl_loss = -tf.reduce_mean(kl_loss) * self.k2
+        
+        # ---- Add loss
+        #
+        loss = r_loss + kl_loss
+        self.add_loss(loss)
+        
+        # ---- Keep metrics
+        #
+        self.add_metric(loss,   aggregation='mean',name='loss')
+        self.add_metric(r_loss, aggregation='mean',name='r_loss')
+        self.add_metric(kl_loss,aggregation='mean',name='kl_loss')
+        return y
+
+    
+    def get_config(self):
+        return {'loss_weights':[self.k1,self.k2]}
\ No newline at end of file
diff --git a/VAE2/modules/layers/__init__.py b/VAE2/modules/layers/__init__.py
new file mode 100644
index 0000000..50d178e
--- /dev/null
+++ b/VAE2/modules/layers/__init__.py
@@ -0,0 +1,2 @@
+from modules.layers.SamplingLayer       import SamplingLayer
+from modules.layers.VariationalLossLayer import VariationalLossLayer
diff --git a/VAE2/modules/loader_MNIST.py b/VAE2/modules/loader_MNIST.py
new file mode 100644
index 0000000..115dbfd
--- /dev/null
+++ b/VAE2/modules/loader_MNIST.py
@@ -0,0 +1,61 @@
+
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# Initial version by JL Parouty, feb 2020
+
+import numpy as np
+import tensorflow as tf
+import tensorflow.keras.datasets.mnist as mnist
+
+class Loader_MNIST():
+    
+    version = '0.1'
+    
+    def __init__(self):
+        pass
+   
+    @classmethod
+    def get(normalize=True, expand=True, concatenate=True):
+
+        # ---- Get data
+        #
+        (x_train, y_train), (x_test, y_test) = mnist.load_data()
+        print('Dataset loaded.')
+           
+        # ---- Normalization
+        #
+        if normalize:
+            x_train = x_train.astype('float32') / 255.
+            x_test  = x_test.astype( 'float32') / 255.
+            print('Normalized.')
+            
+        # ---- Reshape : (28,28) -> (28,28,1)
+        #
+        if expand:
+            x_train = np.expand_dims(x_train, axis=-1)
+            x_test  = np.expand_dims(x_test,  axis=-1)
+            print('Expanded.')
+
+        # ---- Concatenate
+        #
+        if concatenate:
+            x_data = np.concatenate([x_train, x_test], axis=0)
+            y_data = np.concatenate([y_train, y_test])
+            print('Concatenate.')
+            print('x shape :', x_data.shape)
+            print('y shape :', y_data.shape)
+            return x_data,y_data
+        else:
+            print('x_train shape :', x_train.shape)
+            print('y_train shape :', y_train.shape)
+            print('x_test  shape :', x_test.shape)
+            print('y_test  shape :', y_test.shape)
+            return x_train,y_train,x_test,y_test
\ No newline at end of file
diff --git a/VAE2/modules/models/VAE.py b/VAE2/modules/models/VAE.py
new file mode 100644
index 0000000..bd9adb1
--- /dev/null
+++ b/VAE2/modules/models/VAE.py
@@ -0,0 +1,141 @@
+# ------------------------------------------------------------------
+#     _____ _     _ _
+#    |  ___(_) __| | | ___
+#    | |_  | |/ _` | |/ _ \
+#    |  _| | | (_| | |  __/
+#    |_|   |_|\__,_|_|\___|                              VAE Example
+# ------------------------------------------------------------------
+# Formation Introduction au Deep Learning  (FIDLE)
+# CNRS/SARI/DEVLOG 2020 - S. Arias, E. Maldonado, JL. Parouty
+# ------------------------------------------------------------------
+# by JL Parouty (dec 2020), based on François Chollet example
+#
+# Thanks to François Chollet example : https://keras.io/examples/generative/vae
+
+import numpy as np
+import tensorflow as tf
+from tensorflow import keras
+from tensorflow.keras import layers
+from IPython.display import display,Markdown
+
+# Note : https://keras.io/guides/making_new_layers_and_models_via_subclassing/
+
+
+
+class VAE(keras.Model):
+    '''
+    A VAE model, built from given encoder and decoder
+    '''
+
+    version = '1.4'
+
+    def __init__(self, encoder=None, decoder=None, loss_weights=[3,7], **kwargs):
+        '''
+        VAE instantiation with encoder, decoder and r_loss_factor
+        args :
+            encoder : Encoder model
+            decoder : Decoder model
+            loss_weights : Weight of the loss functions: reconstruction_loss and kl_loss
+            r_loss_factor : Proportion of reconstruction loss for global loss (0.3)
+        return:
+            None
+        '''
+        super(VAE, self).__init__(**kwargs)
+        self.encoder      = encoder
+        self.decoder      = decoder
+        self.loss_weights = loss_weights
+        print(f'Init VAE, with loss_weights={list(self.loss_weights)}')
+
+        
+    def call(self, inputs):
+        '''
+        When we use our model
+        args:
+            inputs : Model inputs
+        return:
+            output : Output of the model 
+        '''
+        z_mean, z_log_var, z = self.encoder(inputs)
+        output               = self.decoder(z)
+        return output
+                
+        
+    def train_step(self, input):
+        '''
+        Implementation of the training update.
+        Receive an input, compute loss, get gradient, update weights and return metrics.
+        Here, our metrics are loss.
+        args:
+            inputs : Model inputs
+        return:
+            loss    : Total loss
+            r_loss  : Reconstruction loss
+            kl_loss : KL loss
+        '''
+        
+        # ---- Get the input we need, specified in the .fit()
+        #
+        if isinstance(input, tuple):
+            input = input[0]
+        
+        k1,k2 = self.loss_weights
+        
+        # ---- Forward pass
+        #      Run the forward pass and record 
+        #      operations on the GradientTape.
+        #
+        with tf.GradientTape() as tape:
+            
+            # ---- Get encoder outputs
+            #
+            z_mean, z_log_var, z = self.encoder(input)
+            
+            # ---- Get reconstruction from decoder
+            #
+            reconstruction       = self.decoder(z)
+         
+            # ---- Compute loss
+            #      Reconstruction loss, KL loss and Total loss
+            #
+            reconstruction_loss  = k1 * tf.reduce_mean( keras.losses.binary_crossentropy(input, reconstruction) )
+
+            kl_loss = 1 + z_log_var - tf.square(z_mean) - tf.exp(z_log_var)
+            kl_loss = tf.reduce_mean(kl_loss) * k2
+            kl_loss *= -0.5 
+
+            total_loss = reconstruction_loss + kl_loss
+
+        # ---- Retrieve gradients from gradient_tape
+        #      and run one step of gradient descent
+        #      to optimize trainable weights
+        #
+        grads = tape.gradient(total_loss, self.trainable_weights)
+        self.optimizer.apply_gradients(zip(grads, self.trainable_weights))
+        
+        return {
+            "loss":     total_loss,
+            "r_loss":   reconstruction_loss,
+            "kl_loss":  kl_loss,
+        }
+    
+    
+    def reload(self,filename):
+        '''Reload a 2 part saved model.'''
+        self.encoder = keras.models.load_model(f'{filename}-enc.h5', custom_objects={'Sampling': Sampling})
+        self.decoder = keras.models.load_model(f'{filename}-dec.h5')
+        print('Reloaded.')
+        
+        
+    def save(self,filename):
+        '''Save model in 2 part'''
+        self.encoder.save(f'{filename}-enc.h5')
+        self.decoder.save(f'{filename}-dec.h5')
+    
+        
+    @classmethod
+    def about(cls):
+        '''Basic whoami method'''
+        display(Markdown('<br>**FIDLE 2021 - VAE**'))
+        print('Version              :', cls.version)
+        print('TensorFlow version   :', tf.__version__)
+        print('Keras version        :', tf.keras.__version__)
-- 
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