DS4B-Iris4.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8de690ce-49d6-4387-b242-fe36280ca9dd",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       "h1, h2, h3, h4, h5, h6 {\n",
       "  font-family: Verdana, \"DejaVu Sans\", \"Bitstream Vera Sans\", Geneva, sans-serif;\n",
       "  font-weight: bold;\n",
       "}\n",
       "body, intro, introE, introT, rq, rqE, rqT, ex, exE, app, appE, sol, todo, figure  {\n",
       "  font-family: Verdana, \"DejaVu Sans\", \"Bitstream Vera Sans\", Geneva, sans-serif;\n",
       "  font-weight: 400;\n",
       "  font-size: 12px;\n",
       "}\n",
       "h1 {\n",
       "  border: 0 solid #333;\n",
       "  padding: 30px ;\n",
       "  color: white;\n",
       "  background: #b11d01;\n",
       "  text-align: center;\n",
       "}\n",
       "h2 {\n",
       "  border: 3px solid #333;\n",
       "  padding: 18px ;\n",
       "  color: #b11d01;\n",
       "  background: #ffffff;\n",
       "  text-align: center;\n",
       "}\n",
       "h3 {\n",
       "  border: 0 solid #333;\n",
       "  padding: 12px ;\n",
       "  color: #000000;\n",
       "  background: #c1c1c1;\n",
       "  text-align: left;\n",
       "}\n",
       "h4 {\n",
       "  border: 0 solid #333;\n",
       "  padding: 2px ;\n",
       "  color: #000000;\n",
       "  background: #d9fffc;\n",
       "  text-align: left;\n",
       "}\n",
       "h5 {\n",
       "  border: 1px solid #333;\n",
       "  padding: 2px ;\n",
       "  color: #000000;\n",
       "  background: #ffffff;\n",
       "  text-align: left;\n",
       "}\n",
       ".introT::before {    \n",
       "    content: attr(title);\n",
       "    background-color: #cecece;\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    display: block;\n",
       "}\n",
       ".introT {    \n",
       "    background-color: #cecece80;\n",
       "    border-color: #969696;\n",
       "    border-left: 5px solid #969696;\n",
       "    padding: 0.5em;\n",
       "}\n",
       ".intro {    \n",
       "    background-color: #cecece80;\n",
       "    border-color: #969696;\n",
       "    border-left: 5px solid #969696;\n",
       "    padding: 0.5em;\n",
       "}\n",
       ".introE {    \n",
       "    background-color: #cecece80;\n",
       "    border-color: #969696;\n",
       "    border-left: 5px solid #969696;\n",
       "    padding: 0.5em;\n",
       "    color : #117996;\n",
       "}\n",
       ".rq::before {    \n",
       "    background-color: #fcd3d3;\n",
       "    color: #ff0000;\n",
       "    content:\"Remarque\";\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    display: block;\n",
       "}\n",
       ".rq {    \n",
       "    background-color: #fcf2f2;\n",
       "    border-color: #dFb5b4;\n",
       "    border-left: 5px solid #dfb5b4;\n",
       "    padding: 0.5em;\n",
       "}\n",
       ".rqE::before {    \n",
       "    background-color: #fcd3d3;\n",
       "    color: #ff0000;\n",
       "    content:\"Pay attention\";\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    display: block;\n",
       "}\n",
       ".rqE {    \n",
       "    background-color: #fcd3d380;\n",
       "    border-color: #dFb5b4;\n",
       "    border-left: 5px solid #dfb5b4;\n",
       "    padding: 0.5em;\n",
       "}\n",
       ".rqT::before {    \n",
       "    background-color: #fcd3d3;\n",
       "    color: #ff0000;\n",
       "    content: attr(title);\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    display: block;\n",
       "}\n",
       ".rqT {    \n",
       "    background-color: #fcd3d380;\n",
       "    border-color: #dFb5b4;\n",
       "    border-left: 5px solid #dfb5b4;\n",
       "    padding: 0.5em;\n",
       "}\n",
       ".exold {    \n",
       "    background-color: #b2dbea80;\n",
       "    border-color: #0055ff;\n",
       "    border-left: 10px solid #0055ff;\n",
       "    padding: 0.5em;\n",
       "}\n",
       ".ex {    \n",
       "    background-color: #b2dbea80;\n",
       "    padding: 0.5em;\n",
       "    padding-top: 0em;\n",
       "    position:relative;\n",
       "}\n",
       ".ex::before {\n",
       "    background-color: #b2dbea;\n",
       "    content:\"Exercice. \" attr(title);\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    display: block;\n",
       "}\n",
       ".exE {    \n",
       "    background-color: #b2dbea80;\n",
       "    padding: 0.5em;\n",
       "    padding-top: 0em;\n",
       "    position:relative;\n",
       "    color : #117996;\n",
       "}\n",
       ".exE::before {\n",
       "    background-color: #b2dbea;\n",
       "    content:\"Exercise. \" attr(title);\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    display: block;\n",
       "    color : #117996;\n",
       "}\n",
       ".app {    \n",
       "    background-color: #b2dbea80;\n",
       "    padding: 0.5em;\n",
       "    padding-top: 0em;\n",
       "    position:relative;\n",
       "}\n",
       ".app::before {\n",
       "    background-color: #b2dbea;\n",
       "    content:\"Application\";\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    display: block;\n",
       "}\n",
       ".appE {    \n",
       "    background-color: #b2dbea80;\n",
       "    padding: 0.5em;\n",
       "    padding-top: 0em;\n",
       "    color : #117996;\n",
       "    position:relative;\n",
       "}\n",
       ".appE::before {\n",
       "    background-color: #b2dbea;\n",
       "    content:\"Application\";\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    color : #117996;\n",
       "    display: block;\n",
       "}\n",
       ".sol {    \n",
       "    background-color: #bbeab880;\n",
       "    padding: 0.5em;\n",
       "    padding-top: 0em;\n",
       "    position:relative;\n",
       "}\n",
       ".sol::before {\n",
       "    background-color: #bbeab8;\n",
       "    content:\"Answer\";\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    display: block;\n",
       "}\n",
       ".com {    \n",
       "    background-color: #ffff7f80;\n",
       "    padding: 0.5em;\n",
       "    padding-top: 0em;\n",
       "    position:relative;\n",
       "}\n",
       ".com::before {\n",
       "    background-color: #ffff7f;\n",
       "    content:\"Comment.\";\n",
       "    margin-left:-0.5em;\n",
       "    margin-right:-0.5em;\n",
       "    padding-left:0.5em;\n",
       "    padding-right:0.5em;\n",
       "    font-weight: 600;\n",
       "    display: block;\n",
       "}\n",
       "div.todo:before {\n",
       "    content:url(data:image/png;base64,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);\n",
       "    float:left;\n",
       "    margin-left:20px;\n",
       "    margin-right:20px;\n",
       "    margin-top:20px;\n",
       "    margin-bottom:20px;\n",
       "}\n",
       "div.todo{\n",
       "    font-size: 1.1em;\n",
       "    margin-top:40px;\n",
       "    background-color: #b2dbea80;\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",
       "figure {\n",
       "    border: 0px;\n",
       "    text-align: center;\n",
       "    margin: 5px; /* adjust as needed */\n",
       "    display: block;\n",
       "    margin: auto;\n",
       "}\n",
       "figure img {\n",
       "    vertical-align: top;\n",
       "    text-align: center;\n",
       "    display: block;\n",
       "    margin: auto;\n",
       "}\n",
       "figure figcaption {\n",
       "    border: 0px;\n",
       "    text-align: center;\n",
       "    font-size: 11px;\n",
       "    margin: auto;\n",
       "}\n",
       "\n",
       "</style>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**Start at:** Sunday 16 June 2024, 11:34:01  \n",
       "**Hostname:** localhost.localdomain (Linux)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "<p style=\"text-align: center\"><img width=\"800px\" src=\"./config/svg/pyPhysChemBanner.svg\" style=\"margin-left:auto; margin-right:auto\"/></p>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import sys\n",
    "\n",
    "cwd0 = './config/'\n",
    "sys.path.append(cwd0)\n",
    "\n",
    "import visualID_Eng as vID\n",
    "from visualID_Eng import color, fg, bg, hl\n",
    "vID.init(cwd0)\n",
    "\n",
    "import tools4pyPhysChem as t4pPC"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5b71cea",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Statistical treatment of data<br>(data science for beginners)<br><br>eXplainable AI (XAI)\n",
    "\n",
    "<img width=\"25%\" src=\"./DS4B-iris-images/ThinkerRodin-DallE.png\" style=\"display:block; margin-left:auto; margin-right:auto\" id=\"ThinkerByRodin\"/>  \n",
    "\n",
    "## Explainability with SHAP\n",
    "\n",
    "<div class=\"rqT\" title=\"Bogus notebook (after section 1.4) since keras 3.0\"></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0783f89-c3da-43f3-9a8a-af1f27b9fb8f",
   "metadata": {},
   "source": [
    "<div class=\"intro\">\n",
    "\n",
    "SHAP stands for **SH**apley **A**dditive ex**P**lanations. Shapley values are a way to explain the output of any machine learning model. It uses a game theoretic approach that measures each *player*'s contribution to the final outcome. One of the fundamental properties of Shapley values is that they always sum up to the difference between the game outcome when all players are present and the game outcome when no players are present.\n",
    "\n",
    "In a SHAP analyzis, each **feature** is assigned an **importance value** representing its **contribution to the model's output**.\n",
    "\n",
    "SHAP values show how each feature affects each final prediction, the significance of each feature compared to others, and the model's reliance on the interaction between features\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b38aad5c-a8e6-4b75-a1e5-fa680bbaf2bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.16.1\n",
      "3.3.3\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib as mp\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "\n",
    "import shap\n",
    "\n",
    "print(tf.__version__)\n",
    "print(keras.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0c8aaf7-1c22-43e8-b5b6-09c66168ebb2",
   "metadata": {},
   "source": [
    "### Load the model, the scaler and the iris training and test datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e78af25-2561-48d1-970e-bf462caac4ea",
   "metadata": {},
   "source": [
    "<div class=\"intro\">\n",
    "\n",
    "First load the ANN model trained previously with the [iris3](./DS4B-Iris3.ipynb) notebook, as well as the scaler and the unstandardized datas used to train and test this ANN model.\n",
    "\n",
    "<p style=\"text-align: center\"><img width=\"250px\" src=\"./DS4B-svg/ANN-petals.png\" style=\"margin-left:auto; margin-right:auto\" id=\"img_ANNWL\"/></img></p> \n",
    "\n",
    "The model takes two parameters as input, the width *W*<sub>P</sub> and length *L*<sub>P</sub> of the petals, and it returns three probabilities $\\mathcal{P}_{i}$, in the order <span style=\"color:#5b749d\">setosa</span>, <span style=\"color:#bd7247\">versicolor</span>, <span style=\"color:#499059\">virginica</span>. The sum of probabilities is 1: $\\sum_{i=1}^{3}\\mathcal{P}_{i}=1$\n",
    "\n",
    "Before assessing the trained ANN model, let's first load it, as well as the scaler. We will then remind the model architecture as well as the number of underlying parameters (the weights of the neuronal connections and the biases) \n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b05eecb6-1931-4b78-8607-9730c68168b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/romuald/Python3/ML/lib64/python3.11/site-packages/sklearn/base.py:376: InconsistentVersionWarning: Trying to unpickle estimator StandardScaler from version 1.4.1.post1 when using version 1.5.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
      "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
      "  warnings.warn(\n"
     ]
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
       "</pre>\n"
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       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ hLayer1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">21</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ hLayer2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ oLayer (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">18</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
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       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ hLayer1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m)              │            \u001b[38;5;34m21\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ hLayer2 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m)              │            \u001b[38;5;34m40\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ oLayer (\u001b[38;5;33mDense\u001b[0m)                  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m3\u001b[0m)              │            \u001b[38;5;34m18\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">239</span> (960.00 B)\n",
       "</pre>\n"
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       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m239\u001b[0m (960.00 B)\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">79</span> (316.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m79\u001b[0m (316.00 B)\n"
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     "metadata": {},
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Optimizer params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">160</span> (644.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Optimizer params: \u001b[0m\u001b[38;5;34m160\u001b[0m (644.00 B)\n"
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load the model and the scaler\n",
    "IrisANNmodel = tf.keras.models.load_model('./DS4B-Iris-SavedModels/ANNmodel-Iris-savedForIris4.keras')\n",
    "import pickle\n",
    "scaler = pickle.load(open(\"./DS4B-Iris-SavedModels/scaler_Iris-savedForIris4.pkl\", 'rb'))\n",
    "\n",
    "# Show the model architecture\n",
    "IrisANNmodel.summary()\n",
    "\n",
    "# plot the model\n",
    "from tensorflow.keras.utils import plot_model\n",
    "plot_model(IrisANNmodel, show_shapes=True, show_layer_names=True, show_layer_activations=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2f8245d-3d67-4224-a954-fdc051fbed71",
   "metadata": {},
   "source": [
    "<div class=\"rq\">\n",
    "\n",
    "Now load the data used to train and test the optimized ANN model\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "df653975-2b8c-4008-ae38-60a8bc347fa2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "      <th>setosa</th>\n",
       "      <th>versicolor</th>\n",
       "      <th>virginica</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>5.3</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>4.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>6.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width     species  setosa  \\\n",
       "82            5.8          2.7           3.9          1.2  versicolor     0.0   \n",
       "27            5.2          3.5           1.5          0.2      setosa     1.0   \n",
       "6             4.6          3.4           1.4          0.3      setosa     1.0   \n",
       "48            5.3          3.7           1.5          0.2      setosa     1.0   \n",
       "41            4.5          2.3           1.3          0.3      setosa     1.0   \n",
       "..            ...          ...           ...          ...         ...     ...   \n",
       "35            5.0          3.2           1.2          0.2      setosa     1.0   \n",
       "77            6.7          3.0           5.0          1.7  versicolor     0.0   \n",
       "68            6.2          2.2           4.5          1.5  versicolor     0.0   \n",
       "76            6.8          2.8           4.8          1.4  versicolor     0.0   \n",
       "145           6.7          3.0           5.2          2.3   virginica     0.0   \n",
       "\n",
       "     versicolor  virginica  \n",
       "82          1.0        0.0  \n",
       "27          0.0        0.0  \n",
       "6           0.0        0.0  \n",
       "48          0.0        0.0  \n",
       "41          0.0        0.0  \n",
       "..          ...        ...  \n",
       "35          0.0        0.0  \n",
       "77          1.0        0.0  \n",
       "68          1.0        0.0  \n",
       "76          1.0        0.0  \n",
       "145         0.0        1.0  \n",
       "\n",
       "[120 rows x 8 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
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       "  <tbody>\n",
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       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.3</td>\n",
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       "      <th>14</th>\n",
       "      <td>5.8</td>\n",
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       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>5.5</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>5.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.2</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>4.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.7</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>6.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.3</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width     species  setosa  \\\n",
       "4             5.0          3.6           1.4          0.2      setosa     1.0   \n",
       "13            4.3          3.0           1.1          0.1      setosa     1.0   \n",
       "14            5.8          4.0           1.2          0.2      setosa     1.0   \n",
       "16            5.4          3.9           1.3          0.4      setosa     1.0   \n",
       "22            4.6          3.6           1.0          0.2      setosa     1.0   \n",
       "23            5.1          3.3           1.7          0.5      setosa     1.0   \n",
       "33            5.5          4.2           1.4          0.2      setosa     1.0   \n",
       "36            5.5          3.5           1.3          0.2      setosa     1.0   \n",
       "38            4.4          3.0           1.3          0.2      setosa     1.0   \n",
       "46            5.1          3.8           1.6          0.2      setosa     1.0   \n",
       "47            4.6          3.2           1.4          0.2      setosa     1.0   \n",
       "50            7.0          3.2           4.7          1.4  versicolor     0.0   \n",
       "53            5.5          2.3           4.0          1.3  versicolor     0.0   \n",
       "62            6.0          2.2           4.0          1.0  versicolor     0.0   \n",
       "65            6.7          3.1           4.4          1.4  versicolor     0.0   \n",
       "72            6.3          2.5           4.9          1.5  versicolor     0.0   \n",
       "80            5.5          2.4           3.8          1.1  versicolor     0.0   \n",
       "90            5.5          2.6           4.4          1.2  versicolor     0.0   \n",
       "95            5.7          3.0           4.2          1.2  versicolor     0.0   \n",
       "106           4.9          2.5           4.5          1.7   virginica     0.0   \n",
       "108           6.7          2.5           5.8          1.8   virginica     0.0   \n",
       "109           7.2          3.6           6.1          2.5   virginica     0.0   \n",
       "111           6.4          2.7           5.3          1.9   virginica     0.0   \n",
       "121           5.6          2.8           4.9          2.0   virginica     0.0   \n",
       "124           6.7          3.3           5.7          2.1   virginica     0.0   \n",
       "125           7.2          3.2           6.0          1.8   virginica     0.0   \n",
       "129           7.2          3.0           5.8          1.6   virginica     0.0   \n",
       "135           7.7          3.0           6.1          2.3   virginica     0.0   \n",
       "136           6.3          3.4           5.6          2.4   virginica     0.0   \n",
       "138           6.0          3.0           4.8          1.8   virginica     0.0   \n",
       "\n",
       "     versicolor  virginica  \n",
       "4           0.0        0.0  \n",
       "13          0.0        0.0  \n",
       "14          0.0        0.0  \n",
       "16          0.0        0.0  \n",
       "22          0.0        0.0  \n",
       "23          0.0        0.0  \n",
       "33          0.0        0.0  \n",
       "36          0.0        0.0  \n",
       "38          0.0        0.0  \n",
       "46          0.0        0.0  \n",
       "47          0.0        0.0  \n",
       "50          1.0        0.0  \n",
       "53          1.0        0.0  \n",
       "62          1.0        0.0  \n",
       "65          1.0        0.0  \n",
       "72          1.0        0.0  \n",
       "80          1.0        0.0  \n",
       "90          1.0        0.0  \n",
       "95          1.0        0.0  \n",
       "106         0.0        1.0  \n",
       "108         0.0        1.0  \n",
       "109         0.0        1.0  \n",
       "111         0.0        1.0  \n",
       "121         0.0        1.0  \n",
       "124         0.0        1.0  \n",
       "125         0.0        1.0  \n",
       "129         0.0        1.0  \n",
       "135         0.0        1.0  \n",
       "136         0.0        1.0  \n",
       "138         0.0        1.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_train = pd.read_pickle('./DS4B-Iris-SavedModels/Iris-data_train-savedForIris4.pkl')\n",
    "data_test = pd.read_pickle('./DS4B-Iris-SavedModels/Iris-data_test-savedForIris4.pkl')\n",
    "display(data_train)\n",
    "display(data_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7aa59908-9f23-4247-8195-d0fb714c7fc6",
   "metadata": {},
   "source": [
    "<div class=\"rqE\">\n",
    "\n",
    "Training and test datas must standardized before any input to the ANN model\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6a9d020e-356b-4a7a-932f-b9487520da0b",
   "metadata": {},
   "outputs": [
    {
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       "     petal_length  petal_width\n",
       "82       0.066996    -0.013243\n",
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       "\n",
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       "      <th>setosa</th>\n",
       "      <th>versicolor</th>\n",
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      "text/plain": [
       "     setosa  versicolor  virginica\n",
       "82      0.0         1.0        0.0\n",
       "27      1.0         0.0        0.0\n",
       "6       1.0         0.0        0.0\n",
       "48      1.0         0.0        0.0\n",
       "41      1.0         0.0        0.0\n",
       "..      ...         ...        ...\n",
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       "145     0.0         0.0        1.0\n",
       "\n",
       "[120 rows x 3 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "class_names = ['setosa','versicolor','virginica']\n",
    "features = ['petal_length','petal_width']\n",
    "\n",
    "x_trainS = scaler.transform(data_train[features].values)\n",
    "# print(x_trainS)\n",
    "# print(x_trainS.shape)\n",
    "x_train = pd.DataFrame(x_trainS, columns=data_train[features].columns, index=data_train.index)\n",
    "y_train = data_train[class_names]\n",
    "x_train_unscaled = data_train[features]\n",
    "\n",
    "x_testS = scaler.transform(data_test[features].values)\n",
    "x_test = pd.DataFrame(x_testS, columns=data_test[features].columns, index=data_test.index)\n",
    "y_test = data_test[class_names]\n",
    "x_test_unscaled = data_test[features]\n",
    "\n",
    "display(x_train)\n",
    "display(y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fe7c23f-56f1-4453-a5c1-8d6822edd385",
   "metadata": {},
   "source": [
    "### Brief reminder of the performance of the model and of the data\n",
    "\n",
    "<div class=\"intro\">\n",
    "\n",
    "Just to get a basic impression of the model on one hand and of the data on the other hand, it is recommended viewing the confusion matrix, as well as the previous global analysis of the natural clustering of the **raw** data\n",
    "    \n",
    "<p style=\"text-align: center\"><img width=\"1000px\" src=\"./DS4B-svg/Iris3-ConfusionMatrix-petals.png\" style=\"margin-left:auto; margin-right:auto\" id=\"img_cm\"/></img></p>\n",
    "\n",
    "<p style=\"text-align: center\"><img width=\"900px\" src=\"DS4B-svg/jointplot_petals-sepals_classification.png\" style=\"margin-left:auto; margin-right:auto\" id=\"img_jpc\"/></img></p>\n",
    "\n",
    "</div>\n",
    "<br>\n",
    "<div class=\"rqE\">\n",
    "\n",
    "From the graph on the left\n",
    "- setosa has the smallest petals, whilst virginica has the largest ones\n",
    "- from the same petal graph, you can see the overlap between versicolor and virginica\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41a337f7-273a-4fa7-b2a2-6ddb74c33550",
   "metadata": {},
   "source": [
    "### Plotting of \"probability maps\"\n",
    "\n",
    "<div class=\"intro\">\n",
    "\n",
    "**This is not SHAP... yet**. But is is interesting to **assess and understand as much as possible the behaviour of the model** over a wide **hypothetical range of petal lengths and widths**. As an example, what will the model predict for flowers with very wide and short petals? \n",
    "\n",
    "In the following, we will plot three probability maps, one per species, in the 0 to 3 cm petal width and 0 to 8 cm petal lengths domain. Given what we have learnt from the *petal_length = f(petal_width)* graph, we, as human beings, would return the following probabilities, with a confidence index that decreases at the borders of the usual observations of the dimensions of iris species:\n",
    "\n",
    "<p style=\"text-align: center\"><img width=\"450px\" src=\"DS4B-svg/jointplot_petals_classificationByHumanBeings.png\" style=\"margin-left:auto; margin-right:auto\" id=\"img_HumanClassif\"/></img></p>\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1af01e67-f854-4b4e-bc44-902f3e1de3f3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m75/75\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 756us/step\n"
     ]
    },
    {
     "data": {
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hAq1ataJ48eJ89dVXervPP/8cRVHo0qULp0+f1l9FihShXLlyWbrr+e2331KkSBG6du2ql9lsNvr378/Fixf55ZdfAChQoACXLl1i1apVAfsKCgrSPfOcTidnzpwhPDycChUqsHHjxiyde7169ahZs6b+uWTJktx3332sXLnS5/GQp59+2udcAAYOHGgqf/HFFwFYvny5qbxYsWJ06tRJ/6w9rrJp0yaOHz+eo3Pq0aMHERER+ufOnTtTtGhRfWzXgi5duhAcHMy8efP0spUrV3L69GmRFSQQCPINFouFhx9+mHXr1pke75w/fz6FCxfmnnvuAVyP+jdq1IiCBQuaYmPz5s1xOp0+j94/8MADxMbGmsoKFCjA4cOHfR7lzIhVq1aRnJzMoEGDfPzltIyZ9evXc/LkSfr27Wtq065dOypWrOgTp4xkN8aVKlWKVq1aZXn8VqvVZAtgt9vp06cPJ0+eZMOGDaa2PXv2NGVp5eS8jNlf2iOoaWlp/PDDD3q58Rjnzp3jwoULNGrUyG/8zc7vh9yifPny1K1b1xR/z549y3fffUf37t39PvYrEAgENxpZja8Z4S/mrFixguLFi+sWDQDBwcE89dRTWR7bQw89RMGCBfXPjRo1AlxPTwbiyy+/RFEUhg8f7uPnbvxeNsaY5ORkTp8+TaNGjbh8+TI7d+7M0vj69etn+vzcc88B+Mz9mjRpQuXKlfXPTqeT77//no4dO1K6dGm9vGjRonTr1o3ff/9dtzDS6N27tykb+ZlnnsFqtZqOlZ1zyk7czy1kWaZ79+589dVXJCcn6+Xz5s2jfv36lCpV6pocVyDILYSYK8iU2rVr8/nnn3Pu3Dn++usvBg8eTHJyMp07d9b9/Hbv3o2qqpQrV47Y2FjTa8eOHVlaLO3AgQOUK1fOJ9Bpj0McOHAAgL59+1K+fHnatGnDbbfdxuOPP657/WgoisI777xDuXLlCAoKIiYmhtjYWLZu3cqFCxeydN7lypXzKStfvjyXL1/m1KlTpnLvL/sDBw4gyzJly5Y1lRcpUoQCBQro56JRtmxZn4lW+fLlAfQfMtk9J+/xS5JE2bJlr+lKngUKFODee+81eTLOmzeP4sWL06xZs2t2XIFAILjeaAuwaN93hw8f5rfffuPhhx/WF2TZvXs3K1as8ImLzZs3B3wXEvU3cXj11VcJDw+nTp06lCtXjn79+rFmzZoMx7Z3716ADB/p1+KQP8uDihUr+sQp732zE+OyOyEqVqyYz0Ki3jExUN/ZPS9Zlk2T10DH+uabb7jrrrsIDg6mUKFCxMbGMmPGjCzFX61Pf78fcpMePXqwZs0a/RwXL15Menp6pit/CwQCwY1EVuJrRviLOQcOHKBMmTI+8y3vOJYRJUuWNH3WhF1vr1gje/fuRZZlk3jqj23bttGpUyeioqKIjIwkNjZWT4TJ6dy1TJkyyLKcadw8deoUly9f9hs3K1WqhKIoPuuueB8rPDycokWLmo6VnXPKTtzPTXr06MGVK1d0e6hdu3axYcMGETcFNwVCzBVkGbvdTu3atXnjjTeYMWMG6enpLF68GHAJjZIksWLFClatWuXzymixk+wSFxfH5s2b+eqrr+jQoQM//fQTbdq0oWfPnnqbN954g4EDB9K4cWPmzp3LypUrWbVqFVWqVDEtOpNbBPJuys1MmOt9TjmlR48e7Nu3j7Vr15KcnMxXX31F165db4rVxQUCgSCr1KxZk4oVK+oLOy5YsABVVfVJKLhiY4sWLfzGxVWrVvHAAw+Y+vQXSypVqsSuXbtYuHAhDRs2ZOnSpTRs2PCG8HLLaoy7Gp/2vOxb47fffqNDhw4EBwfz3nvv8e2337Jq1Sq6devms1BaXvLwww9js9n07Ny5c+dSq1YtsYiLQCC4qchKfM2IaxUXAgnJVxsHzp8/T5MmTdiyZQujR4/m66+/ZtWqVfraMDmd5wWK0dcjbl6rc8ptKleuTM2aNZk7dy7gipt2u50uXbrk8cgEgswRC6AJckStWrUAOHbsGOC686eqKqVKldLvogUiUGCJj49n69atKIpiEv60xzDi4+P1Mrvdzr333su9996Loij07duXmTNnMmzYMMqWLcuSJUu4++67+fDDD03HOH/+PDExMVk6x927d/uU/ffff4SGhvo8BuvvXBRFYffu3XpmMcCJEyc4f/686VwA9uzZg6qqpmvz33//AeirqWb3nLzHr6oqe/bs4Y477shw7Fkhowl869atiY2NZd68edStW5fLly+Lu5sCgSBf0r17d4YNG8bWrVuZP38+5cqVo3bt2np9mTJluHjxop6Jm1PCwsJ46KGHeOihh0hLS+P+++9n7NixDB482MdGQTsuwL///hsw60iLQ7t27fJ5cmLXrl0+ccp73+zEuOxy9OhRLl26ZMrS8Y6JGY0Nsn5eiqKwb98+028X72MtXbqU4OBgVq5cSVBQkN5uzpw5fsdwNb8fMiOj+FuoUCHatWvHvHnz6N69O2vWrPFZZE8gEAhuBjKLr9klPj6e7du3+8y39uzZkxvDDUiZMmVQFIXt27dTvXp1v21+/vlnzpw5w+eff07jxo318v3792frWLt37zZl3e7ZswdFUTKNm7GxsYSGhrJr1y6fup07dyLLMiVKlPA51t13361/vnjxIseOHaNt27Y5OqerifuZkdmN5x49ejBw4ECOHTvG/PnzadeunclOQyC4URGpcoIM+emnn/zebdT8cLRsj/vvvx+LxcKoUaN82quqypkzZ/TPYWFhfh8Xadu2LcePH2fRokV6mcPhYOrUqYSHh9OkSRMAU1/gekRSEyhTU1MB151T73EsXryYI0eOZO3EgXXr1pm88A4dOsSyZcto2bJlpo/4aIHMexI1adIkAJ+Vr48ePWpa/TspKYlPP/2U6tWrU6RIkRyd06effmry/1myZAnHjh2jTZs2GY49K4SFhXH+/Hm/dVarVV+F9OOPP6Zq1aq5IiALBALBjYaWJTR8+HA2b97skzXUpUsX1q1bx8qVK332PX/+PA6HI9NjeMc8u91O5cqVUVWV9PR0v/u0bNmSiIgIxo0bR0pKiqlOiyO1atUiLi6O999/X4+dAN999x07duzwiVNGshvjsovD4TA90ZOWlsbMmTOJjY01edH6IyfnNW3aNH1bVVWmTZuGzWbTvRktFguSJJn8bhMTE/nyyy/9juFqfj9khjbRDRSDH330UbZv387LL7+se08KBALBzUZm8TW7tGrViiNHjpjWfElJSWH27NlX1W9mdOzYEVmWGT16tE82qhaPtbhgnOelpaXx3nvvZetY06dPN32eOnUqQKZzP4vFQsuWLVm2bJnJ0uDEiRPMnz+fhg0bEhkZadpn1qxZpt8gM2bMwOFw6MfK7jldTdzPjMziZteuXZEkiQEDBrBv3z6xzovgpkFk5goy5LnnnuPy5ct06tSJihUrkpaWxtq1a1m0aBEJCQn06tULcN11fP311xk8eDCJiYl07NiRiIgI9u/fzxdffEHv3r156aWXANejM4sWLWLgwIHUrl2b8PBw7r33Xnr37s3MmTN57LHH2LBhAwkJCSxZskTPLNEW83ryySc5e/YszZo147bbbuPAgQNMnTqV6tWr6xlC7du3Z/To0fTq1Yv69evzzz//MG/ePB9fvIy4/fbbadWqFf379ycoKEgPPqNGjcp032rVqtGzZ09mzZqlP2by119/8cknn9CxY0fTnUxweQI98cQT/P333xQuXJiPPvqIEydOmLJ+sntOhQoVomHDhvTq1YsTJ04wefJkypYtmy2j/0DUrFmTGTNm8Prrr1O2bFni4uJMGVA9evTg3Xff5aefftIfpxEIBIL8RqlSpahfvz7Lli0D8Jlsvvzyy3z11Ve0b9+exx57jJo1a3Lp0iX++ecflixZQmJiYqZPi7Rs2ZIiRYrQoEEDChcuzI4dO5g2bRrt2rUzLXJpJDIyknfeeYcnn3yS2rVr061bNwoWLMiWLVu4fPkyn3zyCTabjfHjx9OrVy+aNGlC165dOXHiBFOmTCEhIYEXXngh4JiyG+OyS7FixRg/fjyJiYmUL1+eRYsWsXnzZmbNmmVacMUf2T2v4OBgVqxYQc+ePalbty7fffcdy5cv57XXXtOzaNu1a8ekSZNo3bo13bp14+TJk0yfPp2yZcuydetWnzFcze+HzNAmtf3796dVq1Y+gm27du2Ijo5m8eLFtGnThri4uKs+pkAgEFxvMouv2aVPnz5MmzaNrl27MmDAAIoWLcq8efP0p1uu1SKRZcuWZciQIYwZM4ZGjRpx//33ExQUxN9//02xYsUYN24c9evXp2DBgvTs2ZP+/fsjSRKfffZZtu0b9u/fT4cOHWjdujXr1q1j7ty5dOvWjWrVqmW67+uvv86qVato2LAhffv2xWq1MnPmTFJTU5kwYYJP+7S0NO655x66dOnCrl27eO+992jYsKG+wFx2z+lq4n5mVK9eHYvFwvjx47lw4QJBQUE0a9ZMj4+xsbG0bt2axYsXU6BAgau+IS0QXDdUgSADvvvuO/Xxxx9XK1asqIaHh6t2u10tW7as+txzz6knTpzwab906VK1YcOGalhYmBoWFqZWrFhR7devn7pr1y69zcWLF9Vu3bqpBQoUUAE1Pj5erztx4oTaq1cvNSYmRrXb7WrVqlXVOXPmmI6xZMkStWXLlmpcXJxqt9vVkiVLqn369FGPHTumt0lJSVFffPFFtWjRompISIjaoEEDdd26dWqTJk3UJk2aZHregNqvXz917ty5arly5dSgoCC1Ro0a6k8//WRqN2LECBVQT5065dNHenq6OmrUKLVUqVKqzWZTS5QooQ4ePFhNSUkxtYuPj1fbtWunrly5Ur3jjjvUoKAgtWLFiurixYtN7bJ6Tj/99JMKqAsWLFAHDx6sxsXFqSEhIWq7du3UAwcOmPrs2bOn6fpr5z5ixAj985w5c1RA3b9/v152/PhxtV27dmpERIQK+L2mVapUUWVZVg8fPux7gQUCgSCfMH36dBVQ69Sp47c+OTlZHTx4sFq2bFnVbrerMTExav369dW33npLTUtLU1VVVffv368C6sSJE332nzlzptq4cWM1OjpaDQoKUsuUKaO+/PLL6oULF/Q2/r6nVVVVv/rqK7V+/fpqSEiIGhkZqdapU0ddsGCBqc2iRYvUGjVqqEFBQWqhQoXU7t27+3xva7HOSHZjXFZp0qSJWqVKFXX9+vVqvXr11ODgYDU+Pl6dNm2aqZ0W67xjZXbOq2fPnmpYWJi6d+9etWXLlmpoaKhauHBhdcSIEarT6TS1/fDDD/XfAxUrVlTnzJnj97pk9feDv7+ZdzzX/l0Yfwc5HA71ueeeU2NjY1VJknyOr6qq2rdvXxVQ58+f7/faCAQCwc1AZvHV3/doRjFn3759art27dSQkBA1NjZWffHFF9WlS5eqgPrHH3/o7bznRxnFaO95k7+4oKqq+tFHH+kxqWDBgmqTJk3UVatW6fVr1qxR77rrLjUkJEQtVqyY+sorr6grV65UAZ/44Y12zO3bt6udO3dWIyIi1IIFC6rPPvuseuXKFZ/x9uvXz28/GzduVFu1aqWGh4eroaGh6t13362uXbvW1Ea75r/88ovau3dvtWDBgmp4eLjavXt39cyZM6a2WT2nrMZ9fzHR3/WOj49Xe/bsaSqbPXu2Wrp0adVisfi9pv/73/9UQO3du7ffayMQ3IhIqnoDrdwgENwgSJJEv379TI9eCrJHjRo1KFSoEKtXr87roQgEAoHgJqFp06acPn2af//9N6+HctPywgsv8OGHH3L8+HFCQ0PzejgCgUBwwzJ58mReeOEFDh8+TPHixfN6ODli5MiRjBo1ilOnTmV5bRiBmWXLltGxY0d+/fVXGjVqlNfDEQiyhPDMFQgEuc769evZvHkzPXr0yOuhCAQCgUBwy5CSksLcuXN54IEHhJArEAgEBq5cuWL6nJKSwsyZMylXrtxNK+QKcofZs2dTunRpGjZsmNdDEQiyjPDMFQgEuca///7Lhg0bePvttylatCgPPfRQXg9JIBAIBIJ8z8mTJ/nhhx9YsmQJZ86cYcCAAXk9JIFAILihuP/++ylZsiTVq1fnwoULzJ07l507dzJv3ry8Hpogj1i4cCFbt25l+fLlTJky5Zp5JwsE1wIh5goEglxjyZIljB49mgoVKrBgwQJ9UQGBQCAQCATXju3bt9O9e3fi4uJ49913qV69el4PSSAQCG4oWrVqxQcffMC8efNwOp1UrlyZhQsXiuSTW5iuXbsSHh7OE088Qd++ffN6OAJBthCeuQKBQCAQCAQCgUAgEAgEAoFAcBMgPHMFAoFAIBAIBAKBQCAQCAQCgeAmQIi5AoFAIBAIBAKBQCAQCAQCgUBwE3BTe+YqisLRo0eJiIgQZtUCgeCWR1VVkpOTKVasGLKcO/fqUlJSSEtLu6o+7Ha78E++wRHxVCAQCFyIWCrIKSKWCgQCgYtrEUtBxFMjN7WYe/ToUUqUKJHXwxAIBIIbikOHDnHbbbdddT8pKSmERESD4/JV9VOkSBH279+fL4JmfkXEU4FAIDCTm7E0NjyEi86r60fE0hsfEUsFAoHATG7FUnDPTaPCIE25qn7ySzy9qcXciIgIAP7bf5CIiMg8Ho1AIBDkLcnJSZQvVVL/brxa0tLSwHGZoNt7gcWes06caRz/dw5paWk3fcDMz2j/ZrZ1L0BUuA0A2RqEHOT6u8v2IGSbe9v9LtmDwBrk6sBmB5v772sLBrtWHuQpt4a43u2Gdlb3tt1dp/VnCfIMzv1vT9LKrMY6m087HdnrJ45swxvJu40Ri2/7DMmoL4FAcNOQlJxMiQo1cjWWXnTCwDIWgnKYnJSqwKS9x0UsvcHR/s1M+OkN5GALAKnOVFId6QCkOdNJVVwZZSmOdFIdDve2k1Sna/uyuyzV4SA13bXtSHficJenG8oA0rXyNIf+OS3dc+dA289Ylq6XOcwnYGhDmtfdh9QA4klqgLsU2RVb0q/ybodAILixcCjwy/Fci6XgnpumKdCkCFhzGFAdCsd/yR/x9KaeeWiPr0RERBIZKcRcgUAgAHL/0T6L3SOkZRM1d0ciuEZo/2ZCJYVwXBMqWU5Hdlvry5IFWXZNTGWLE9kWBDiRrE6XYIsCVqdbuHWCVXULuirY3P8KbArYQlxlmnir6aU2DIKu4YeVl4Br+neoC79eIq7xs7fA6uemRIaCLghRVyC4RcntWBokQ7Alp32KaHozoP2bKRAViRziFnMdaaQ4U93b6aQ6XWJukDONFLfIa3c4SHELrDaHg8sOBzbsWN2CrhVwuIVXS7qD9HQHlhAbjnQnFmyuz8E20tLSCcKKbBBw7VhJT3cQFGR1lzmwB1lIdzgICrLoZa5BWVA1EdduMQu6dguk+BFcbbJ/QdfmFlqyKurq7YWoKxDkJ66J5YxVzrmYm48QMw6BQCAQCASAO/snXcJqs6CkuSaZsi0IJTXVb3sZyNJPNFswpKeYy+whrjJbMKRf8d3HGgzOVJeg60gFaxCqM9Uj6LrLcE+MdaHWmebZVhxmcdVY50ZVXJPYgKKuMz17gq73MQUCgUBwS2GT7FgtFlKdaQRZXTEnxZlKkNUVS1KdaQS5Y1GKI51gq9W97dC3/eFId2CzWb3KnNhsLsHWbncJujarlXSHA7vNQpqhHsBus5KW7tDbGMsAJLuXoAsegdWdbewj6gZZAmfo2uXsZel6i8gCgUAg8IuYbQgEAoFAINBxGB519P6RIAcFoaS5hF3ZbkdJT3UJuvYgSHcLvrYgj3BrD4E0LyHYn3irldlCIO2Kaz9HSkBBF9xZupqgC2ahNjNBF/yKukLQFQgEAkFuYJddMcYo6GaHFIeDUIPIG+Ql4qb7EXYDCbo+bbIg6AKBs3SD/WTpZiboQtZFXW8RWSAQCAQ+iJmGQCAQCAQCABwOBYf7cSirzYIj3YkVkO02lHT/2bkA2oNOGWbp2oN8s3M18dZfWSBBF8xZujkRdL3r3QhBVyAQCARXi91ixe4nXqQ60gjOoW2V3ke6A6sfEdfqJdqa6v1k6RoFXU8bjxUD+MnSvRpBF0SWrkAgEOQit8Qsw+l04nCkC7upmxkJrFYbFkvgHyoCgUAguDqc6U6wWXGkuyZbRkFXla2kRUQjuRcwk+12z2JoNm3RNDuS+zFSLHZwZyYhBQGaF67NJb6qgGJ1ibUOXBm9DgyKsHvCp7rfFcXTb5rT9e50IFnsLqEVXGKrwyDSOtIMC5+528iGOJKe4mdhNCeSHCjWODzHyRLu9tINFLskVwaWfC08zAQCgUCgZ+Vqgm6a4rFVAJBVC6pTJcQSShoO0p3phFsgjXRSnelE2iBVdpLqcIId0iwOrjidYIU0q9sP1+bE4a7XFjlzLZTmhGBc7yGGBdO0hdIcivuzeQE117bvImkAarpBgPW3UJm/xdEyEmHTszkpvwEXR1NVldPJZ7mclpJ5Y4FAILgG5GsxV1VVzpw8TnLShbweiiCXiIiMIjquyLUx0hYIBP6xBnsyH7OL+P/qTYUjzYnTJmGxWXRBF8ARFsPpdmMgrJDnbypJSHi2PX9rw7ak/4+5jb+2BKjXPivud4e73GGox7jAguHfnCTheyfXYW6DM0BKcWb/dm/ef9uyBKWKFdKzsAQCwbUnSHa9coIqElJuKmwWOzbZSpqSZs7QVaFASjQxahySJCMBqlVFdX8Vq6qK6o5ZqkqWtrWO9W33hqr/j6tfw0f9s5FMyzL7N+jvH2lG+2T3H/UN9v8BFZU0RzpfrV/NnF+W+L1+AoHgGmGzeBZNzC75aG6ar3/Fnzl5nItJF4iLjSUkNFQIgDcxqqpy5fJlTp06BUBM4aJ5PCKBQCDInzi8smksNgvnaz+GLSaeolHBeiyVDOKsJEkuhdD1yRNvJdmjeUqy4QeUYVuWXHVaG1cXnnbe+xr7MH027G/Cez8/dfpH3zZSRqJttn9W5P3vEEVROXr8OMdOJ1GySEHx20ggEAiuAXYvG580Zzpx6UWJluKIiYvGGmTVQ4KiqiYxUHE/kaKiomiCrC7gesoUVfWIt6q5jfnd3bHXZ+/2ilGP9OrD3FEA/DkoZLSLcnMLuigqXRveC8BHPy/O48EIBIJbjXwr5jqdTpLdQm6h6Oi8Ho4gFwgJCQHg5KlTFIyJE5YLAkE+Zfr06UycOJHjx49TrVo1pk6dSp06dfy2TU9PZ9y4cXzyySccOXKEChUqMH78eFq3bm1qd+TIEV599VW+++47Ll++TNmyZZkzZw61atW6Hqd00+BwuG0W0pxY7Rac6U6coQVIL1GD4uFBhFjNwqgkeW3LHoHVLOgG2NbeZWO9l0jrI/TKvoKu3/ZGkdI7Wxf/dX7rMxN0syuG5r14GhsTw9GjR3E4FWxWEUsFgvyKiKd5g91t32O32ElzpmGX7UiKREFnNDFxMYQXCAO8RVuPeKqJrIqqmIRWxSToqljAvJ8hEzeQoKuqqisj2M+7Fg0UP211vAVd40cL/gXaQCKsRbq5BV2LRIGCBelQ6x4Wrv1aWC4IBPmUGzWW5jA3+cbH4XB544WEhubxSAS5ifb31P6+AoEgf7Fo0SIGDhzIiBEj2LhxI9WqVaNVq1acPHnSb/uhQ4cyc+ZMpk6dyvbt23n66afp1KkTmzZt0tucO3eOBg0aYLPZ+O6779i+fTtvv/02BQsWvF6nddOQ4oT0dCfp6U49Q9dhCQXZglU2TBCNk0T3S1VVl6+touifXfWK3sZnG1zv+sxRMbwMZd7v+hgUPN663u1Vw6Qzo8wi74mpn0dNM5o9ZvvRyryfidrdHsdOJRsL0QgEgpsKEU/zDrvFjl12vyyuVzAhyJJMcEgQkvs/2X3z0bXtedLFWC+5b47KEshIyGifPS99P/1+q+Tn5anL6B0M91dNfQd4ysX7/qTs54al5KddRu0zIu/vh5qRJexWGzERhfJ6JAKB4BpwI8fSfCvmanMl8fhg/kL/e+b9XFggEFwDJk2axFNPPUWvXr2oXLky77//PqGhoXz00Ud+23/22We89tprtG3bltKlS/PMM8/Qtm1b3n77bb3N+PHjKVGiBHPmzKFOnTqUKlWKli1bUqZMmet1WjcV2uLUmqDrTFcBCQzaqI+I6yr0bCuKud4o0Prddgu6ipfIaxKBFT/CrhYMAgi6pjZegq5JhM2aoBtQ1PXpLzNU32NeR/SfRiKWCgT5FhFP8xbNZkFbDM1msemirS6SugVbWZL1On/1gC7oArqgC/gVdF0vX7E2ozpPG61fTHWmbZNPPlkTdP21M7bPjqibkTicB0hGeymBQJCvuJFjaf4VcwUCgUBwU5GWlsaGDRto3ry5XibLMs2bN2fdunV+90lNTSU4ONhUFhISwu+//65//uqrr6hVqxYPPvggcXFx1KhRg9mzZ1+bk7jJSXW6JiNGQRcwZeJ6dFyziKsaxFs9S9dQ79r2yrg1bbvbK/7EWz/tMhJ0jQKwqY2XiJpNQdfVKn9l6QoEgvyHiKd5i9Ut4HoLuppljybGalm4gC7ourbN9brgq2XoSuY+jFm6HmHWnKHrKvNfF6hdhoKu1pG+jVlgDSTQZqR53uxZugKBIF9xo8dSIebeAjzeqxf3d+qU18MQCAS3MElJSaZXamqqT5vTp0/jdDopXLiwqbxw4cIcP37cb7+tWrVi0qRJ7N69G0VRWLVqFZ9//jnHjh3T2+zbt48ZM2ZQrlw5Vq5cyTPPPEP//v355JNPcvck8wkpXoKuw+He0HVRw2IrgWwXtO3s2i4Ys3QhsO2CzyuLtgs62RB03fW9Hn+KTg886G4lBF2BQHD9yUosBRFP8xqbZMUm27EZbBZskg0kTxanTABbBX3bXA/ogq5rG1Mf3oJuRrYLrjJPXUbvWRJ0s5mlO/KVobz09AD/F+8mz9IVCAQ3B/lhbppvF0ATeHhn8mSzcb1AIBBkB1sQWINytq/7B3aJEiVMxSNGjGDkyJFXNy5gypQpPPXUU1SsWBFJkihTpgy9evUyPfqiKAq1atXijTfeAKBGjRr8+++/vP/++/Ts2fOqx5CfSHFCmNUj6IKKqrju/LrEWVe5KmsxxTVZ1BZJce2BeVuSXIKu7Fq4zNVWcS1UpgmwPtsKKO77zbKhTL8HbSgzvavuSaW7rfbZp95rpIHKNVSVye+8ZYqlKmrghdFM/WUFP8cUCAT5CrvF9coJmnHMtYqlIOJpbmOTbaQr6dhkO+lKGjaLy6tcwmCboDkT6XHUY6ugqIquaSqg3/eTJRnF/S9CRgVVMvWhicCKqrpFV0+8VvUyDdUdrjx1/t5lyXWPVdvX2I8eF10/BrRDme9Tah24eWn4q5nPTb32yRTvYwoEgvyLXQZbDvNS89HcVIi5twBRUVF5PQSBQHCLc+jQISIjI/XPQUG+4nBMTAwWi4UTJ06Yyk+cOEGRIkX89hsbG8uXX35JSkoKZ86coVixYgwaNIjSpUvrbYoWLUrlypVN+1WqVImlS5dezSnlW7SM3GCLS9QNwpDkqk3gdK3ULN1K7smcZ+pomEZqgi6adKnJEzL43cYlwCqqS9A1lulZuMaybAi64G6TkaALRoE1KjLSR6DNVNDVj5MVfI8pEAgERrISS0HE07zGJtv0d13QJV2PFxIyKopHLEXS7pWC6ootsiSjqIp72xMxUfEIviguQRdA9fRhlDgUtNjtOrLejR+x17vOn6ALHvHXeztTQRdAUQmPiDBfsEAirBB0BQLBNSI/zE2FzcJ1YumSJVSvdgfhYaHExcbQsmULLl26pFsgjB49iiKF4yhYIIq+zzxNWlqavq+iKLz55jjKlilNeFgod9aoztIlS0z9b9u2jQ733kvBAlEUiIqkSZPG7N27F/C1Wcisv3PnzvHoI49QpHAc4WGhVKxQno/nzLnGV0ggEORnIiMjTS9/AdNut1OzZk1Wr16tlymKwurVq6lXr16G/QcHB1O8eHEcDgdLly7lvvvu0+saNGjArl27TO3/++8/4uPjr/Ks8h+akGvc1nx0tYmkxxPX89n1bsjQych2wV3v46ObBduFJV9+zR31mhFauAwx8ZVp0aELly5epFfvZ+n0UA9GjR1PXHwFogrH8/RzL5KWlqIfT1EUxk14i9IVbie0QBzVa9VjyedfgsFHd9u2bdzb8QGioosQWagwje9uzt69+wDo9URvOt3/oH59FEVh3PiJlCpXgZCIAlS7szZLln6u1587d47uj/YktkhxQsKjKFexMnM+zsrjU2ImKhAI/JOVWAoint4IGAVd7V3CZUngsk6QXS/NzuAa2C64yv3bLnz/9Qo6NmlHzfiqNKhYh6ce7MnlS5cZOmAQz/fqx/uTpnN31fo0qFCLsYNG4UhP1x0QFEVhzvTZdGjQkgbl7qRb6/tZvfx7rXMA9v63hxee6EfTqnfR5Pa6PPVgTw4fOASyxMiXh/JSH4/NgqIqzJnxAfc1bU3DKrXp1r4zq79z9ydLJF1IYuiLg2lRtykNq9bh/hb38tXSL/1feHE/VCAQZIH8MDcVmbnXgWPHjtG9ezfeHD+ejh07kZyczO+//6ZPZH/8cTXBwcGs/vEnEhMTefKJxykUHc3rr48F4M03xzF/3jymv+fy1fjt11/p0eNRYmJjadKkCUeOHOHupk1o0qQpq35YTWRkJGvXrMHhcPgdT2b9jRg+jB07tvPN8m+JiYlhz549XLly5bpdL4FAcOsycOBAevbsSa1atahTpw6TJ0/m0qVL9OrVC4AePXpQvHhxxo0bB8Cff/7JkSNHqF69OkeOHGHkyJEoisIrr7yi9/nCCy9Qv3593njjDbp06cJff/3FrFmzmDVrVp6c442OOTMXgvHIi8b8WVVVkQy2C67sHPTWAW0XNEFXlg35QJnbLhw7eppuT/Zn/KjBdGrfhuSLF/lt3d96LF39y28EBwfx07dfkHjwEI8/PYDoQgUZO2ooIDNuwtvMW7iYGVPfoVzZMvz6+zoefexJYmNiaNK4IUeOHKHJPa1p2rghq1cuJzIykjXr1uFwpJsvkPt448ZPZN78BcyYPpVyZcvy62+/80jPXsTGxtCkcWOGjRjF9h07+e7rZcTERLNn775sxFJhuyAQCK4OEU/zDqtPZq5Nc0PQv9n1zFdkkNy2CSooGLJir9J2wZSha8jEPXn8JC/3eYEXR7xC87YtuZh8kQ1/rEeSXJ3++fsfBAUH8eHnn3Hk4GGGv/AaUQUL8Nyg51FVlY+nz2L5598w+I0RlCwVz8Y//2b4C4MoEF2QmnfV5uSJk/Tp8hh33lWb9+Z/SFh4GFvWb/LMTb3C28czPuC7ZcsZNHoYJRLi2fT3Boa/+BoFChWiZt1avD9lOvv37GXKB9MpULAAhw4cIjU1JfAfQGToCgSCXOJGjqVCzL0OHDt2DIfDQadO9+tqe9WqVfV6u93OBx9+SGhoKFWqVGHkyFG8+uorjB49hvT0dN4cN46V36/S1f/SpUuzZs3vzJ41iyZNmvDee9OJiopi/oIF2GyuHw/ly5f3O5bU1NRM+zt48BDVq1enVq1aACQkJFyrSyMQCAQmHnroIU6dOsXw4cM5fvw41atXZ8WKFbrx/MGDB5Flz/QkJSWFoUOHsm/fPsLDw2nbti2fffYZBQoU0NvUrl2bL774gsGDBzN69GhKlSrF5MmT6d69+/U+vRueVKeERZIItqguIdcCqQrY3Ym4iurOysEg6LptF/z66BpsF3wsGLJpu3Ds+HEcDgf3t2tFfMniIMlUrVLJJfaiYrfZ+fC9d1yxtHJFRg19hVeGjmLM8MGkO1IZN/EdVi3/gnp164AkUbpUAr+vXces2R/SpHFDpr8/i6jISBbM/cQQS8u5x+HJ3gVXLB335gRWrVhOvXp3AVC6dCl+X7OWmbM/oEnjxhw8dIga1atRq1ZNwB1LhY+uQCC4Toh4mrcYhVyANNL1r3QJyWXTYxB0NdsFfz66gWwXjIKvorr3R3XFagLbLpw6cRKHw0GL9q0pdlsxAMpXruAamwQ2u43R74wjOCSYshXK0ffl/rwzZgL9XumPI93Bh1Nn8/7CD6l6Z3UAbosvwea/N/HF/MXUvKs2iz9dQFhEBG9MnYDVHU/jSyeYBVb32NJS05gz4wOmfzqbO+6sBircVvI2tqzfyBcLF1Ozbi2OHz1GhSqVqFztdlBUit1WPPM/gBB0BQJBLnAjx1Ih5l4HqlWrRrN77qF6tTto2bIVLVq04IHOnSlYsCAAd1SrRmhoqN7+rnr1uHjxIocOHeLixYtcvnyZ1q1amvpMS0ujeo0aAGzZvIWGDRvpk8+M2LNnT6b99Xn6abo82JlNmzbRvEUL7ruvI/Xr17+qayAQCARZ5dlnn+XZZ5/1W/fzzz+bPjdp0oTt27dn2mf79u1p3759bgzvliDF6RF0Q7zqMhJ0/fnogpd3LngWQtMEXZPg6+7Ia7talQrc07g+dzRsTatmjWnRrDGd72urx9Jqt1ciNCTYvQ/Uq1uLixcvcejwES5evMTly5dp2f5+07mkpaVRo/odoKps2bKVRg3rYbMZfhoFWMhsz569rv7amP9NufqrBsAzfXrzQJeH2bhpMy1bNKdjh3upX7+eEHQFAsF1Q8TTvMHqZbGQrqRjla04QLc88LGqVTP20QV00da1TdZ8dN2isYwrO1eWJCpVrUy9xvW5r1FbGjZrRP2mDWl5b2sio1z+kRUqVyQ0LES3T6peqwaXL13mxLHjXLp4iZQrV3im6xOmc05PT6dClUpIksR/23dRo86dWO129zgC++geOnCQlCspPNuzt29/lSsC8ED3Lrza70V2btvBXQ3r0eSeu6nmFpIzxNsGXyAQCHLAjRpLhZh7HbBYLKxc+T1r165l1arvmT59GsOGDWXtuj8y3ffixYsAfPX1NxQvbr4Lqfl6hIR4T7Wvrr82bdqwb38i3337LT/88AMtWzTnmb59mTjxrSwfRyAQCAQ3HykKaLcWNUE3zemZB2nSomKYhAYSdDXbBT1LFzwirrG/QLYLei6Ra9siy3y/5BPW/r2J73/6jWmzPmbo6xP544cvjSu0eURggyfvxUuXAPjm8wUUL1bU07ckEWS3g6q4Yqk+4fNaGM2EysVLrlj6zbLPKV6smEmgDQqyo6LSunVLDuz9j2+/W8GqH1ZzT6s29Hvmad6a8KZ+7KwhFkYTCASCmw2rbMOhuGx6bLKNVNJ0/1sw2ix4snRRtdiUse2CoirubYN9QjZsF2xWK3O++IyNf27g959+Y94HnzLljbdZuGKp29fXPQz3omnGcHXlsssuaOqn7xNXpLDJN98W5BJvg4K9vCe9F0YzoNkPvfPBdOIKx5nqbDZXfw2aNOLrX1aw5pff+PP3P+jXszeduz/E84NezPwPoR1TCLoCgSCfIcTc64QkSTRo0IAGDRowbNhwSpdK4MsvvwBg65YtXLlyRRdl//zjD8LDwylRogSFChUiKCiIQwcP0qRJE799V72jKp99+inp6emZZudWrlw50/7AtQpfj5496dGzJw0bNuTVV18RYq5AcKtiDwJrcM72Fcts3nSkKBDs/rulOCXC3OWagGuUFhWD5ilrK1sbfHS1liZB192HjwVDFmwXJEmmQZ07aVDnToa/3J+E6o344uuVAGz5dztXLl8iJDQMJIk//lpPeHgYJYoXpVDBggQFBXHw4GGaNGpgOFvPP9Cqt1fm07kLSU9Lw2a3k5GIWrlSRXd/h2jSuJG7mW+7mNgYevZ4lJ49HqXRrNm8POg1j5gbIOs3MCJLVyC4mbHJKvYcxkSnz00lwY2MTXZNsbUMXYc7M9eJy5Te12Yhe7YLgXx0s2K7oLqzc5Flat5Vi5p31aLfy8/RrFpjVn+7CoBd23aSmpJKcIjLNX/Lhi2EhoVRtHgxChQsgD3IzvGjx6lVrw7gWfxU+51QrmIFli9ZhtPhwGJ1yw1GQddAqXJlsNvtnDh2nJp1a/leTPcuBaML0f7++2h//318vuBO3n1zUtbFXNdFF4KuQJBfCLKALYcBVc4/v6WFmHsd+PPPP/nxx9W0aNGSuLg4/vrzT06dOkXFipX4Z+s/pKWl8dSTT/LakCEkJiYyatRI+vbrhyzLREREMPDFF3nxxYEoikKDhg25cOECa9euITIikh49e9Kv37NMnzaNbl278uqgQURFRfHnH39Qu04dKlSoYBpLVvobMWI4Ne+sSeUqVUhNTWX58uVUrFQpj66eQCAQCK4Xae7M3BS3jhosQ6oieRZAUz2/gYxZutmxXfDxzsUgm2Zgu/Dnxq2s/m0dLe9uRFxsDH9u2MypM2epVL4M/2zbQVp6Ok8++xJDXh5A4qEjjHzjLfr17uWKpeGhvNi/LwNfHYqiKDSsX5cLScms+eNPIiOi6PlIV559ujfTZsyi66O9GPTyQKKiovjjr7+pU6um31j64gsDGPjyq67+GtTnQtIF1qz9g8jISHr2eIThI0dT884aVKlcmbTUNL759jsqVaxovuBC0BUIBIJ8ieaZCy5R10kqrpub7szcbAi6/mwXAvnoavUBbRck2Lx+E2t+XkODuxsSHRPNpvWbOXvmLGUqlGHX9p2kp6Uz/IXX6P3CMxw9dIT3Jr5L18e7Y7FYCAsPp+fTj/PWiHGoikL12ndyMTmZTX9tJCwinPadO/JQr+4s+ngeg599iV59nyIsIpx/N22hcrWqJJQp5blIEoSFh/HIUz2Z9PoEFFWh+p01uJiczJYNmwkLD6P9A/fx/jvTqVSlMqXLlSEtLY3ffvyFhLKlPD9IlCyqtMJ2QSAQ5COEmHsdiIyM5Ldff+PdKVNISkoiPj6eiW+9RZs2bVj8v//RrNk9lC1XlrubNiE1NZWHH36YESNG6vuPHj2G2NhYxo9/k3199lGgQAFq1LiTQYMHAxAdHc2qH1bz6iuv0OzuplgsFqpVr079Bg38jiez/ux2O0OGvEZiYiIhISE0bNiI+fMXXOvLJBAIBIIbgFSn64Y3uETdcHe5llCjzZlkKWNBF9xZul62C0Yf3ezYLkSGh/HbH38zZdYnJF28SPxtxXlr1CDa3NOE/33xDfc0qk/ZMqVo0rYzqWlpPPxAR0YOGqh76I4Z9gqxMdG8+dZk9iUeoEBUFHdWv4PBr7wAQHShgqz+7iteeW04TVu0xWKxUL1aVRrUuwvTzM8twI4ZNZzY2BjenPAW+/bvp0CBAtxZoxqDX3WtVmu323lt6HASEw8QEhJCo4YNWDjvU98LLgRdgUAgyJeYBF3JSippgNliwVXg3sGPj67rs6/tQkAfXYPtgi74orgzcgFVIjwinL/X/sWcGR9xMTmZ4iWKM2jMazRpcTfffrGceo3rEV86gZ73dSctNY2297en38v9dduFZ199noLRhfhw6iwOHzxMRGQElapW5vFneyNLUKBgAWYumsPk19+id5fHsFhkyleuyB21arjPxxDDJHj6xecoEF2Ij9/7gCOHDhMREUGFKpXo1fdJ13W02Zj+1hSOHjlKcHAQ1WvdydjJEzx9uE48638YkaUrEAjyAZKq3rzP7SQlJREVFcWx0+eJjIw01aWmpHD0UCIJCQkEB+fw8eDrwOO9enH+/Hk+/+KLvB7KTUFKSgqJiYkUK5FA0A38dxUI8oKkpCSKxhTgwoULPt+JOe0vKiqKoMbDkHJos6A6Ukj9dUyujUlwbdD+1u/XkAmxuCZZmqBrKxxP/PPTKREXoz8irM3DZK95qLFMe/hJkjwFekaS5FUnSf63ZVlvLEkSSIYBGLZ7Pfcq5y8k8cXc2Z5B6PWy4YDGMq+TweuzZHh8yyS2Sn7KvK+Cv3o8E/dAZEvU9XPMLJKSksL+xAOUKlqQ4KDMF08VCG4lkpKSiSpWNtdj6cTbPd+v2eWKU+XlfxURS29wtL/1f8e3ExphXtMk5UoKl4+nEZ8Qjz3Y5QVrnIZrz6voHrQ+nxXTZwXVp62WpevaNtdrgq+qqrruaexDUVUUVWVQv5dJOn+BaZ/NNB/f2J9uU68GbOPq09zOe9tku+BPkfAn0GakXGRH0M2sr6ziVDl94iRPfzCMA6eP5EKHAkE+waHA6qO5Gre071geLJ1zm4V0BRbvyxfxVLgZCgQCgUAgAFw2CxqpTs+2qhpWzcY3S9c4H/JMErW2ngJtouc9EUQvV83binshM71O8SxuZtpWXaNwT1ZRDNtei6F5yhRznTZiY1vVq8x4tn4WRjN/VH3aqJnNHLN9f/2mvR8vEAgE+RqLZMUieR6C1fxzwXNjT5LMtgtamb82knvartXLbssGV527TJL1RdZkyVwvS7KrXnItnCZL5j5k98t9ENc9U8l4E9YwVq8bst5t9DF637j12vbO0PXBn7dlRvdDsuuFKR5yEQgENzFCzBUIBAKBQKDjLeimGUTdzARdo7eu1l5blMXYgSboul4eEVerM20rHkFVNYm6WgcK7udJzSKtJuh6i75GQVd714/pR7zNTND1V27Ej6CboagrBF2BQCDINxgFXaN6aHxSIyNB1yTqIrteBkHXU+cRbbV9ZclcD+iCrmvb3Ife3jgGP4KuFEDs9fduFHS96/QDGC+Pt8CaE0E3O6KuEHQFAsFNivDMzWM+mjMnr4cgEAgEGWMPgRzaLOSnFUNvJdIUTKuumzJv8dwJ1uxeA/noamUKIBt9dAFV9vjoutZE8/LONW4bfHQ9PruKywpBVZnz7pv6Nnq5AorsHpR7f2MbDa2tVidp4q3BdsFU72eUPuVgmiH68cVVUU2TeXOl8NEVCPIbQRaPfU12UTJvIriBsEgWr89WHGh3RiXPYmfu723vhdDczVx1ARZH8+ejq7XVFz9TFc8aYa4DufZx++gCrsXRVFcjRYK3Zrzt3lc1/LszxxiPD76q++iay8zvRktbY53Wl/tHgOeCeXva+vPEzcz3Njs+usJDVyC4uQiSwZ7DgJqP0lnz0akIBAKBQCDILdK81APjPEvLuPUpzyRL19Xev+2ClqWrderXgiHLtgteGbr+snTBy0rBOwPXj+2C9llvE8D7z7vOb30mtgsiQ1cgEAhuWiySxSTqypLFKwnVN0vXZEeQge2C67PHdsGdrxvQdsG1bbZ00DN43bYL4LFd0NqbMnu9Mmy9bRd8y3wzdDO0XdBSfT0XwEygDN3csl3IrC+BQCC4wRBirkAgEAgEAsDskwsuQTfdS6xVvERdMOubxvqsCLrGz/4E3cxsF1zb3gKtH7HWn4+ut/CbFUHXp42XoJuR7UIAQTegqOvHdzdjjDK6QCAQCPIa7yzdrAi6gX1z3f9l4KOrt89FH13PfhnbLviM34/wm20fXaPAGkiczS1BN7O+BAKB4AZCiLkCgUAgEAh0vAVd8JUH/Qm6YBZ0vRdHy66g69dH15ih687SDeij60+s9c7Q1Q/otTCa8WS0PGSjsOpX0A2UpZu5oOtqJbJ0BQKBID8gS2YnQ19B11ew9dkO4JtrbOfto+uTpZsFH12t3iPgYupD1kVYb79c30xcf9m7pnHnRNB1Ddx4cfGLEHQFAsEthhBzBQKBQCAQmEh1+oq62RV0jW00qVMTeY0Lo7nEWXxsF8CPiOs+QI5sF8Aj6GrbGQm6qpeAm5Htgr+rlJmgK2wXBAKBIN9i8RF0ZbxVQr+CrR/xViv33sf82TdL19tWQcvSNWbbGuu1/b1tF4wZulqbwJm4XueWBUE34MJogWwXAi1ylpmgK2wXBAJBPkKIuQKBQCAQCPziT9A1SoTegm5u2i4E8tHNse1CVnx0fbJ2c9NH14+4el0EXSHqCgQCQV7gLej6w59ga9wOZLvgr40xSxfI0Ec3t20XvC0XvO0Y/L3LJu3W93zdBYZtr4uXXUE30D4ZIQRdgUBwgyLEXIFAIBAIBACkK76zlrRMbBcC+ehC1m0XfLJ0uQ62C9ogvH109e1s+Oh6n7BRRPURdDO3XchU0BVZugKBQHBTYJGsmYq6GQm6mQu4/tqYbRf09lmwXQB0Qde1bfbi9bZdcJX7F2P9C72+HrrZ9tE14i/jNrOsWiHoCgSCfECeirkJCQl+v9j79euXl8MSCAQCgRFrENiCc/ayBuX16PM9uR1L0xSJND+irrd+eLW2C9pnv1m6BtsFYx8Z2S64OvEIsrqgq3Xgve3towu+gq5eppjrsrQwmuFMs7IwmtcFzlDQ9TlOVhCCrkCQl9jlq3sJrj25FU8tku8fzNtH1xtvQTdQlq53fVZsF4weuFrbQLYLWfXR9bFqyEDQNY3Lq022bBc8F8SXnNguZAch6AoENw52y9W98gl5+tPg77//5tixY/pr1apVADz44IN5OayblsTERKwWmc2bN+f1UAQCgUBwnbhWsTSQoGvUEK/GdsG4b0a2C0Yf3YxsF67aR9cg2iYmHkSOLMbmLVs9bbR3/WT8iLdX46PrU+8SdIWPrkAgEFwfcjOeWiSL78JnmDNvvfG2GMiJ7YJkslbw76Prz3bBtZ112wWtfUYLox09dITbC5dn17btV2W7YCj0vphmhI+uQCC4hcjcyOcaEhsba/r85ptvUqZMGZo0aZJHI/JP0pV0zlxKIzklnchgG4XC7ESG2PJ6WAKBQCAQXNNYmqZIWAKIusY5lYpnfqMJs9r8SME1WUwNj+WCFMrFVAcRQVaiuEzIpVOoqoLk3k+W3O1xibaS5CnQPrv0S9dBJABJctUZtzUfXVnW5UtJ60iS3KKrjCmHWJFdAwi0MBqAJLs+S7L7Imjt3PfGtb61eq3MeIVMF88zuoAXF5eoG1AA8NM+Y4SgKxAIBP64FvHUIllwqma/Igkpwxt1kjuWebeVkLiYonDukoOkFAeRwTYKhFoIDVZ10dMVD137SJJkiE8KqqoiI6Hoda4qWZJR3LFOlkBRPfUqqqse9/4SoEpoPw20zDB9H1R3WDIK08YsXckQz33fXcc3XwfjubnirOHaaSFWw9hBoDbe+NsnIzLrTyAQCK4DN8xDO2lpacydO5fHH3/cfAcujzmRlEL/hZtoPukXOr23lnsm/cKAhZs4kZRyzY65dMkSqle7g/CwUOJiY2jZsgWXLl0C4MMPPuD2KpUJCw2hSuVKzJjxnr5f2TKlAahV806sFplmze4GQFEUxowZTXzJEoSGBFPzzhqsWLFC3y8tLY3+zz3LbcWLERYaQulSCbz55ji9/p13JlG92h1ERoSTEF+SZ/v15eLFi9fs/AUCgUCQM642lvrzxwW3puklJmbZdkGSSS4Qz0srjtBy6h/cP2s9Lab+wUvfHeFCVDxIsp6lq9ku+PXRzYrtgpcFw5KvV1CtWUfCSt9JTOV6tHjwMS5dvASqygefLaJy/ZaE3FaZSnc1570PP9EHULpafQDubNQKObIYd7d9AFQFxelg9LiJlChXleCCxahRtwkrvl+NJgqnpaby7PMvUyyhHCFRsSSUq8K48W/pV2jS5KnccWcdwgvEUrJ0efo+97w7nuaCj262ELNQgUAgyIjcnJtaJAsWr2m3t5WCN/5sF04nKzy/8B+aT/qN+99bR/NJvzJw0T+cS854cTTXZ7OPrj/bBc+22XZh+RfLaVG3BeXiynFH/B10v68rKZeuAPC/TxfSum5zqhatSJu6zZn/0Vz9/mKLmk0B6HzPfdxeuDyPdXrErcWqvD9pOi1qNqFWQlUeatGJNT/9po/HmZ7GhKGv07JmY+qXq0H7es2ZM222Xj/vg095uNX9NKpUh3b1mvPmsNe5fOmy5+IFytAVtgsCgSAfkaeZuUa+/PJLzp8/z2OPPRawTWpqKqmpqfrnpKSkazqmpCvpvLp0K7/tPm0q/3X3aQYt3cqUh2vkeobusWPH6N69G2+OH0/Hjp1ITk7m999/Q1VV5s+bx8iRI3j33alUr1GDzZs20adPb8JCw+jRsyfr/viTenfVZeX3q6hSpQp2ux2Ad9+dwjuTJjFjxvtUr1GDOXM+olPH+9j6z7+UK1eOqVPf5euvv2bBwkWULFmSQ4cOcfjQIX1MsizzzuQplCpVin379vHcs/0Y9OorTJv+XqDTEAiuC2nOy6Q5Uwi2hmKVg/N6OAJBnpOVWAoZx9M0Z2A7KS3fR/9sTD7FN89UUSE9PJbXvtnNb3vOmPr6dc8ZXvsaJrYuTuilE/r+mWXpqrL3UbQMIpfcqW0fPXGK7s8OYvxrL9CxbXOSL17i9782oqpO5i39mhETpjB13HBqVK3Cpn+20/vFoYSFhtKz64P8uWoZdVvcx6plC6hSsTx2exCoKlOmz2bS1Pd5f8pEalS7g48+W8B9D3bn3w1rKFe2DO++N5Ovl3/Los/mULLEbRw6fIRDR47q2bOyLDFl0kRKJSSwb/9++vV/gVcGD+W9qZMNZ2+4uH4ydF1n7mcWme0MXUB1AuJJo1sdp2ThgjMFiyQTJdvd/y4Eglubq5mbetsrePD9js4oS9eYkZqcojBo6T9+56WDP/+XSQ9VJSzYk5HrnaHr+iyjoniyYPFk2KKiC7qKqrgzciWOHTtB3159Gfr6UFrf25qk5CT+WvsXEipf/e9L3nljEiMnjqZy1Sr8u/Vfhg4YTGhoKB0fvp/Fq77gwRad+HDpp5StUA6rzYokScyb/Qmfvv8RwyeOpkKVSnyxYCkDevXj85++pmSpeBbMmccvq35kwoxJFC5WlONHj3P86DH9mkiyzEsjB1OsRHGOHDzE+KGv8+6bkxj0+lDPD5FA2bYZZdXmJENXIHBTPKYID9/dnoKRUWzZs5Mv13xPuiM9r4clyMfcMGLuhx9+SJs2bShWrFjANuPGjWPUqFHXbUxnLqX5BEyNX3ef5syltGsi5jocDjp1up/4+HgAqlatCsCoUSOZOPEtOt1/PwClSpVi+47tzJo9ix49e+qPBkVHR1OkSBG9z0lvv83Lr7zCQw8/DMCbb47n559/5t0pk5k6bTqHDh6kbLlyNGzYEEmS9ONqDBjwvL6dkJDA6NFj6Nv3GSHmCvKMFEcyB5L38eE/H3Ao+RCVo6vQq0ovioSVwCqLBbcEty5ZiaWQeTzVMnT9ibpahq63qBvIdiFZDvURcjV+3XOGJKkcwQZrhqwIuv5sF4yCLsCxE6dwOBx0bN2MhOJFQZapWqk8SBIjJ77LWyNe4f62LUCSKBVfgu3/7WHWJ/Pp+fADxEYXBCC6YBRF4mJctgnA21Pf55Xn+/Fw544AjB8zjJ9//Z3J095n+uSJHDx0iHJly9Cw/l3ueFrScFFUnu/vWUQnISGeMaOG88yzA9xirveV83Nh9VYBbBe81fWsoDhAvmF+DgquJ5LMUcdlvtr3Dd8f+IFgazCPVOxG7bgaxMpC5Bfc2lzt3NSfvYILLUVUNZRkbrtw7pIjw3np+csOwoKtntjgx80noKCLH1sFt+3CqRMncTgctL2vLbeVuA0VlSq3V0FRFd55YxJDxg6jbYe2KKiUSCjB3l17WPTxAjp1fYCCMYUAKFioIHFF4vSnbT6e8RGPP/sUbTq2B2DgsJdZv/ZP5s3+lNfGDef4kWOULJVAjTo1kSSJorcVd52KO8Z1f7KHvl2sRHGeeek5xg0Z4xJzjZdWCLqC68T4Pq9Sumxxlh/5it0pZ6lavyrfP/Apg2dM5I8dG/N6eIJ8yg3x6/3AgQP88MMPfP755xm2Gzx4MAMHDtQ/JyUlUaJEiWs2ruSUjO+kZFafE6pVq0aze+6herU7aNmyFS1atOCBzp2x2+3s3buXp556kj59euvtHQ4HUVFRAftLSkri6NGj1K/fwFRev359tm51LezSo+djtG7VksqVKtKqVSvatmtPy5Yt9bY//PAD48e/ya6dO0lKSsLhcJCSksLly5cJDQ3N5SsgEGRMupLCqoMreP2PMXrZvgv7+G7/t8xoPoPqsXeJB4gFtyRZjaWQ9Xia5gSr4lMMZD1LNznFkeFYklOdxLm3NQHXn6ALIGsegu5UIlUO7KN7R6VyNGtQl+otO9OycX1aNKlH57YtsQfb2Zt4iCcHDqP3S8O1PXA4HURFRJg9cvXV2hSSkpI5euw4DerWMvjiKtS/qw5b/9kGqspj3R+mZYfOVKxWm1Yt7qF9m1a0bHGP3v6HH37kzYmT2PnffyQlJXvi6aVLhIaF6VfWR9A1Xli9VS766ApB95bkcPolHl35GKeveASiV38fTINiDXj9rmHECEFXcIuSW3NTLUM3sKgLntjljmsBfsVmPi91IEk2H69dY5au55AeH10AWSWgj+7td9xOo7sb0axOM5o2b0qTZk1o27EtdrudA/sP8OqzLzO4/6v6OBwOBxGRkbpNA3jCkSRJXExO5uTxE9xZt6YhTElUr30nu7bvBOC+Lp3o8/DjdGzclvpNG9K4eVPqNm6g9/fHr2v5ePpsEvfu59LFizgdTlJTU0m5coXgkBBfQRey56ObE0HXFigbW5DfeeHBJ7gSc5ZRG2fqZfsu7GPloZWMe2YCPUe9wtEzx/NwhIL8yg3hmTtnzhzi4uJo165dhu2CgoKIjIw0va4lEcEZ/4jNrD4nWCwWVq78nm+Wf0ulypWYPn0alStV5N9//wVg5sxZbNi4SX9t2foPa9auu6pj3nnnnezZu49Ro0Zz5coVuj78EF3cq7YmJiZyX4d7qVq1Kv9bvIS//l7P1KnTAJeXlEBwvUlKO8v4v970KXeqToavHc751FN5MKr8jWQLuqqX4PqQ1VgK2Y+nmp+tb7nk10vXaOEaEZyxSBgeZDHto+uneD5rZZrMqqqeAi3Tx9tH1yLLrJg7g28+nkalcqWYPmcBlZrey787/gNg5luj2LhqKZt+WMqm1V/wz89fs+7bReZFz1TVMwC9TPG0URXPSFWFO2tUY9+2jYwePpgrV67w0KO9eLBrDwASE/dz7/1dqFq1CksWfMb6db8ybcrbgDuemnxv/V3sHPjoZsdLV3G4XoJbgjRJ5pMdn5mEXI01R9ewL/kgIuUsd7HLEGTJ2ct+Q8zYbh1ye25qkSzIWbReCOSlm9V5qXHhsaz46GqfA/no2qw2lnyzmAVfzqdCxfJ89P5HNK7RmF3bdwEwYeoEVqxZwYrfV/DtbytYsW4Vn//whe676xkT7penf5PYa2hb6Y4qfPvnavq93J/U1FReeWYgr/R5HoCjh47wwuN9KVupPBNmTuaz5Yt5ZcwQANLTDTHM+xJm10dXlrLvoxvIo0qQb7HIFto1aMqSfYt96lKcKczZ/QHP3Nc9D0aWz7FZkOw5e+WnGy95/tNAURTmzJlDz549sVpvrKyQ6DA7jcvF+K1rXC6G6DD7NTmuJEk0aNCAkSNHsX7DRux2O2vXrqFYsWLs27+PsmXLml6lSpUC0D1ynU7P3d/IyEiKFSvG2rVrTMdYu3YtlStVMrXr8tBDzJw1m/kLFvL550s5e/YsGzdsQFEU3nrrbe666y7Kly/P0WNHr8l5CwRZ4XDyYdIV/9kJxy8dJynt/PUdkEBwA3C9YmmgRBVvQRc8OmKEcplGZaP97te4bDSR6mWffYyCrlHUBf+CrvbZswaaJ0u3fq3qjHjhGdZ/uxC7zcaavzdRrHAc+xMPUbZUPGUSSlI2oQRlS8VTquRtoCrYba5r6HQ6dBE3MjycYkULs+bP9R5BF1i77i8qVSyni7uREWE89EBHZr83mYWffsjSL7/i7JmzbNi4GUVReHv8G9xVtw7ly5Xl6DEtU0NXog0CrPHsvS6QsSizZxGyuziaEHRvCc45rvBd4oqA9Z/v+RJVZOYKbkHyZm7q30vXSKEwW4bz0oJhVtM+GQm6mpDqWuBMNtXLpjpXmUW2ULdeXV4d9iqr//gBu93O33/8TZGiRTiYeJBSZUpRqmwpSpdNoHSZUsQnxCNJEkHuuamqKHr/EZERxBUpzMa/NpiE581/baBM+bJ6WURkBK07tmPkW68zYcYkVn/7Pcnnz7Pzn20oisLA4a9S9c5qxJdO4NRJQyKH8akUf4JuIFE3EELQFWRA+dtKs/PCjoD1W09vpVr5itdxRIJbiTxXT3/44QcOHjzI448/ntdD8SEyxMabD9zBoKVb+dXgUdS4XAxvPnBHrvvlAvz555/8+ONqWrRoSVxcHH/9+SenTp2iYsVKjBgxkuefH0BUVBStWrUmNTWVDevXc+78OV54YSBxcXGEhISwcuUKbrvtNoKDg4mKiuLFl15i1MiRlCldhmrVq/Pxx3PYsnkzn302F4B33plE0SJFqV6jBrIss3TJYooUKUKBAgUoU7Ys6enpTJs2lfbt72XtmjXMmjkzk7MQCK4dGa38m5V6gSA/cj1jqSaqes9vAnnpWi+eYmz7cgz5BpN3bqOy0YxtXw77+QMeGwU8DgHG42TJdsHLR/evzVv5cc3ftGhcj7iYQvy1+V9OnT1HxbKlGTHwGZ4fMZ6oyHBaNW1Iano6G7Zu49z5JAY+8zhx0QUJCQlmxepfuK1oEYJDgomKjOSlZ3sz8s3JlEkoSfU7bmfOvMVs/mcbcz9wPbEy6d33KFqkCDWqVUW2WFj8+TKKFC5MgQJRlC1divT0dKZOn8G97dqyZt0fzJz9oekK6jNKk01C5rYLGVou+PSXBYTtwi1BRv9mAmcRCgT5m2sdT30dc401mGqM1gsRITLjHqjK4KX/+MxLxz1QlYhg2RQLAi2EBviWGWwXvH101/+5gV9//pWm9zQlOrYQG//eyJnTZyhXoRwvDX2JoS8NJTIykqYtmpKSmsLWjVs5f+4CTz77FDFxMQSHBPPb6l8pUqwItiA7EZGRPPHcU0x9czIlE+KpWLUSn89fws5tOxk/w/W0yqcz5xATF0ul2yuBJLHqm5XExMUQWSCKEqVK4kh3sHDOPBo3b8qW9Zv4fO7/vC6lZIiVfi62PxuF3LRd0ATdNLGYZH7H9bsz4/xIKTu/vwSCbJDnv9Rbtmzpya65ASkcGcyUh2tw5lIaySnpRATbiA6zXxMhF1wZsr/9+hvvTplCUlIS8fHxTHzrLdq0aQNAaGgob7/9Fq++8gphYWHcXrUqA/oPAMBqtTJ58hRef30MI0eMoGGjRvz4408891x/Lly4wMsvv8TJkyepXLkyX3y5jHLlygEQER7BW29NZPfu3VgsFmrVrs3X3yxHlmWqVavGW2+/zcQJExjy2ms0atSYsWPf4LHHel6T8xcIMqN4RHGCLEGkOlN968KLExkU2ENaIMiv5FYsTVVcc6CgLDy3owmr3niLuqqiEHLuABNaFSe5TTmSU5xEBFuIUC5jO3cARVU8lnZ4BF3wiLregi74WRzNy0c3PCyc3//eyNSP55OUfIn44kWZMGQgbZq6PORDQ4J5e+YnvPL624SFhlC1YnkGPNUDVAWrxcKU14cyZtJ0RoyfQqO7avHTVwvp/1RPLiQl89Kw1zl56gyVK5Rj2cI5lCtTClSFiPBwJk6exu69+7BYLNS+swbLP1+ALEO1O6ry9vixTHh7Cq8NH03jhvV5Y/QIej7Rx3T1siTo+tR7MnSFj64gKxSyhnJv6fZ8tmOu3/r7y3ZECvAUjECQn7lec1Nf6dZYo3qVuFrHRVqZ/HA1zl5KJznFQUSwlUJhNsKDPVm3xljg45lLYJFXWxzN6KMLEBkVwbrf1zFz2kySk5K5reRtjBo3khatmwMQEhLCe5Pf4/WhrxMaFkqFyhV4ou8TyBLYrTZGjB/JuxPeZfIbk6hVrzaffb2AHn0eIzkpmQkjxnH29BlKly/LtM/eJ6FMKVRVJTw8jI/f+4AD+w5gschUqVaVaZ/NQpZlKlapxIsjXuWTGR8w7c13uLNuLZ4d9ALDnx9kFs28BV3vi50TQReyL+oKQTdf89+RfZSPrBCwvkZsDf7e9s91HJHgVkJSb2QlNROSkpKIiori2OnzPh5FqSkpHD2USEJCAsHBwXk0QkFuk5KSQmJiIsVKJBAk/q63JE4llZ8Ofc+QNUNM5VbZyqwWs7k9uuYtuwBaUlISRWMKcOHChVzxFNe+Y4PvnYZkC8lRH2r6FVK+fjbXxiS4Nmh/68HlLARbXBMWTdANLRpP7cHTKBYbiy2AyBvoKUTJ3zQ1kycg9W2v9rKf/bQyT1tzgdGPT68zPNZp2pZlk2cfkt6Ja1vfR3a9ZK/PxsGayrzq8NNWPzGtjeSnzPvsA9Vn8oSCJJGSksL+xIOUKhJJsD0TwVYIuvmWo84Uen7/BMcvmRdmaV7yHobWepnoW9RmISkpmahiZXM9ln5UUybUmrMMrcsOlcc3KCKW3uBof+vjZ48SFm5eJDo1JY3jh06SkBDvMzcN/Ls1e9Y6xmm91s7YXqvX67zae+oVU71iaK/tq6iKYVs19a2onv0V1by/opr3Mfrd633o7xnVaf0EOH/Pzl4Xyeui+V8QIGOM+zhVTp84ydMfj+TAmSP+2wtBN1/T975HKVmtAHN3f2YqD7OFMbbWeLoNf56T53396fM9DgVWH83VuKV9x9KnMlJQzp4gUlOdMHN7voin4he6QCC4qbDIQTS6rRkL2y3i022fcCD5AFVjqtK1YjdiQ4vfskKuQJDbpCpZy9CFrGfpgjlBVCvVdjX2Y8zSzYrtgp6hK3kKjLYL2tEkr+Pq24riEnTR+ldcQquqGkajjQxQ3J9lzfQBVxtJ8iyWpqH1I0kYBudpqwm6eptAGbqY6/zWZ2K7kBMPXSHo5kuKWUP5tOVHrD70E98lriTEGsIjlbpxe8EKt6yQKxDkFhb396YzCz7kgRNC/VsvBBJ0/dooBMjINXavl+mHC2y7gOrqS5ZkXbTV4rDWj1bnWlhNBdXVsdsRCUVVkSVJk4y9ztUwJkkLcYbz0s7B/W5MmNXKtGuhmn5wBLBdCJShC4H+KDmzXRCCbr7lvWWfMSyqP2NrvcnKY99yNvUst0dVpUFsYwa+O/bWFHIF1wXx61wgEGQLRXVwPvUU51LPYZOsRAUVpEBQ7FWLqBJwIe00F1LPkaakUSCoIFH2aKxykE/bIEsYpaIqMfSu0aQ6rxBsDUWWxMRTIMhtUhWwKpm3g8BeugDatFL/7GX7apzK+bdR8LQ32i4Yj6tNvkw+urhsF7QGromhW2LWJ7WGbU3QVVWPoOvqFXzEXVyfFdUl6EqyW8Q1iL56GZkLuj5tvARd4wXLoqDrPmt8yO4XtiZGCFE395BkzjrTOJueTIozhQL2KKKtoeTsGQgzl4EzjsucT71AiDWYQvYICkk2fP7wqkJRSxDdS7WnQ3wLLJKFMOO/WYFAcNVYZGuWBV3ImqhrFGj9tvayUdD2MQq6/sqyYrugGMRQXbRFMvnZo7rqABQUZFwZujKSLuhq6CKwKxh7bsri6cyfoGtEE3UDCrquD4FtFwKJs5nZLghB94agW7P7eKT1fSgWJxbJyt6Dhxg/730Onbq6Rdsrx5fn5W69KRxbCEV1kp6i8P4X81m5/heftmM+fZfoyIJ0btyWhMjirPlzJ8PXz0RRRDwVXDvEr3KBQJBlrjiSWH3we95e/xaXHa4V6IuGFWVi47coW6AyUk4XTFFVDl/ax4s/D2R/0n4AgixBPFn1KR4o9yBhtoJ+d7PIdkJle86OKcgyVpsVyZazcKGKMJMvyI72l9MsXe043lm63oujgaEsm1m6PoKu1zFV3Bm6ALLs+qyLrTJ4i7v6ScvmDF2j6OsjjmmWDQZBF8xZuiZBF88IM1sYzY/lQuAsXRWc6WTrp6DI0s0dJJnEtAu89Our7Dq3C3BZBXWv2I1elR4h+ioWHzujOPhg+6cs3LUIh+oSkCoVqsTERuOJt0f4FWol1UGkdkwh5F4zgmXXKycoOdxPcGNgka1Y5KwJeRnph961mWXp+njlBsjIzUzQVVE8mbBuQdaYhQv4+N+bMnjdgq7roJ79ZXfM8hZ0NTzCrVnQNdZ5Z+kqhnbGOvdFMT+dYrycgTxxMxN0nULQzUsmPzeCKwXPMnTLINKUNABKR5Xmk2ET6TN+KLuP7M9Rv42q1mHwE314+58JnEg8AbhsE568vzeVS5XlncUf+uxzJukcM7+Zl/OTEWQZu82KZMuhzYIikZbL48krxE8DgUCQJSRg59ltjPljtC7kAhy7dIwnv3+CMynHctz32dTjPL6yly7kAqQ6U5m+eRq/H/nFr++mQCC4/qhkTdhV1MAJK6qXsKiq5rmV8RjGfhQ88qku6qqefYyfPe3MBZo/n+ul7az59qnmbUXxqlM8B9a2VcXzUox1+gEN24rXvlqGr6GtqZ3xAhovUIBy/Xi+Fz4jj0WXoJsNspBhJsiYE44rPLmqjy7kAjgUB59s/5Qv9y/HkUMx1yFZWLx3GXN3ztOFXIAdZ3fQ+4enOeG8ctVjFwgEOUcCn6zSgO2yWCu5//Pb0uALb2ynv7vr9f8CfpZdL3dfsldbcGXierbN/ciSYV/JvL/sfun9SX7G7i43+t8Hejf563vVuT+Yb3x6Xzp/d6Mz+pMFWjQgEHaL6yW4aupXrkVwYZV5uz/ThVyAfRf2MXLTMCb2HZyjfiVJYsTj/Rm2/jVOXD6hl19Kv8SUf96h8V01KR5T5KrHLxBcLULMFQgEWeJS+nmmbnrXb12KM4UfDv6Q7d8z4Pp9tO30P5xPPe+3fvrm6ZxPFV5DtxLTp0/XF6+sW7cuf/31V4btJ0+eTIUKFQgJCaFEiRK88MILpKSk+G375ptvIkkSzz///DUY+a1DVm+vBBJ1VaQsibrGfvRtr/baMTQRWPusyaQecVbbTzXs7xFx9TrjtqJ41RmEWB9xVzEMxiDyeou+WnttEMaz8ifo6m2yKOj61GutMhF0syPqKg4h6uYYif3Jh0wTRCMf/TuHU45LOer5lOMSn2z/1G/d0UtHOXjxKBmrEoL8hoinNyZZEXQhK6Ku8VPGoq6xnXd7o+Cb8WfZI8IaBWGjaKtvmwVfTdB1CbiY9pclb1HXI9waX672+CnLmqDrI+r6v5SBBd1AfwxJAlsORF3BVfHUfQ+zaN8Cv3VnU85y0XKBknHFs91v46p12Xh+PanOVL/1ixMX8kTbh7Ldr+Dm5UaNpULMFQgEWSJNSWX/hcCPqvxzaiuqn8czHUoK51NPcD71BGnOyz71kuTKGgrEicsnSFfyy8MQgsxYtGgRAwcOZMSIEWzcuJFq1arRqlUrTp486bf9/PnzGTRoECNGjGDHjh18+OGHLFq0iNdee82n7d9//83MmTO54447rvVp3BJkNUsXsp6lC9c4S9e9o7+VsjXh1GdbUbzqvLJuTeKu4jm4dyauvu0t7GYi6JraGK6Ij9DrJ0vXiwwFXRBZutcD2cLeC3sDVielJZHq9BPzZCunlDSOOVM4paT5tbtIcaZyMf1iwL73X0hEX2xPkO8R8fTGxkdczKgtgXRE39JAom5WsnSz9lnWP8t+2mq2C5qgqx/bWGcQdLUsXVkXYn2FW5/xe2Xv+nvJkkeTNYnZ2RF0s5ula8/m96sQdK+KQpGRnLpyKmD9wUsHuC2mqKksKiySAQ88zhdjZ7J0zAwea9mZYHuwqU1C4ds4eCUxYL+JSYkkFMu+SCy4ObmRY6n4RScQCLKETQ6iZGTJgPWVoishGSaJEnD6ymHG//067b9oS9vPWzNy3RCOX0rE6DWpqlC+YIWA/caGxGITq2rfMkyaNImnnnqKXr16UblyZd5//31CQ0P56KOP/LZfu3YtDRo0oFu3biQkJNCyZUu6du3qc8f04sWLdO/endmzZ1OwYMHrcSq3DHmRpesr1GY9S1fbUcvKDWS7YNpWFJPtgk/WrT4IL9sF7wxd8BJ5jf1otgtkIuh6XZFs2i4IQTePUZyUiiwVsDrcFk6QxewFf1Z18NWRX3lk5RO0/KIdPb5/im+O/s451XztgyxBhFgDL6EWH1nS/G9KkK8R8fTmIKuCLmQk6PoXdTM7nuT9XzZsF7S+jIKs1qcsyXqWrinj1ljnFlwBk6Drz3YhM0E3o3fZS/j1vgYZCrrGDswXNzBC0L1uJF28SHRwdMD64qG3cfSM5ymYGmVv54txM0iNP8WIbYN5fedwoqtb+XbCR5SILaa3O3TqGMWDSwTst0RECQ6dyLm9oODm4kaOpULMFQgEWSLcVoB+1fv5rbPLdlrGtzYJNWdTjvHYip58tfcr0pV0nKqT1QdX0/3bbpy6ckRvpwJ3xFYjwhbht+/ed/ShQFBsbp6KIA9ISkoyvVJTfR9dSktLY8OGDTRv3lwvk2WZ5s2bs27dOr/91q9fnw0bNugBct++fXz77be0bdvW1K5fv360a9fO1Lcg98itLF1/om6gY+Q0S9dku+CVpevXO9co7gby0fUr7vrx0TVm8WrlpncvQdc74zcngq5PvSboZmK7kB2EoJsNVEpHxhMTEuO39tFKjxBrDdM/XwEW7vmCIWuGcfSSa2XuwxcPM/j3ISzZ9zWpBiEi1hpK94rd/PZbOLQw8eG3kfX/pwpuRLISS0HE05uN3MvS9bVeyMrxMsrS9RZ19f0z8dE12i5AYB9dLQHWKAhrgq5nrIGycHPRRzejC5wTQTc7oq7w0c0RH3z9Px4o9aDfukh7JAWJIfHEIQDsNjuT+g9h0N8v8/ux31BUhXQlnZWHVjD2n1HMfHmsvu/PW9dRu1DdgMlEneMf4qNvF+f+CQmuK/lhbirEXIFAkCVU4Pbo6rxY8yXssidrKDo4mpktZhET4jGCl1D58eBqv4++XEy/yIKdC3AarBMKBRfmg1YfUTTM8yiMVbLyWJVeNCvZ3O+j2ILrh9VqwWqz5uxldf04LVGiBFFRUfpr3LhxPsc5ffo0TqeTwoULm8oLFy7M8ePH/Y6tW7dujB49moYNG2Kz2ShTpgxNmzY1PcqycOFCNm7c6PeYgtzlarN0XX1knqUbyHrB2D6nWbpodV4+ut4Lo3nq/PjoZnVhtIA+upksjJYlH90s2C4oGayqLQTda0YRaygftphFfGS8XiZLMg+W60yXcp2wqp6/yxnHZT74x3fVbID3t8zidLrHvsimKnQv/yCdynbUH2cGKBVZitnN36dIBlm7gmtPkEUlOIevIIvr/79ZiaUg4unNytVn6Wo1vtm3gY7nY6fgJeCa6ryydF11Zh9df1m63j66pjqjLYLhuP58dH3G7GXHcFU+ut7X/moFXRBZuteYX7b+gf1CJJ1KPYDFsHBosbBijK45lsHvT9TLHmjUhu+PfmdaxFvjxOUT7E/dQ63y1QBQFIU3P32fkTXHUCi4kN4uyBJEn8rPsGnLLg6cOHwNz0yQGTar9apekD/mpr6GW4JbjsTERMqWKc36DRupXr36Ddef4MYh1BbF/eUe4p745py5chqbbKNgcCF35qznB0uK8zKrD60O2M+vh3+hV5UniLBrj8bIlIqswCet53I+9SwpjhSiQ6KJtEdjt4jJZ37g0KFDREZG6p+DgoJypd+ff/6ZN954g/fee4+6deuyZ88eBgwYwJgxYxg2bBiHDh1iwIABrFq1iuDg4Mw7FFw1mmSYlSmpovqfH6n6pNIjQKqqea6lGo6h9aMJurKhvaalascxtpXdAqekSCBrAq+kH8Gz5S6VJFRVRVIUkGVDnULioaOUrtOcjau/pHrVKtrI3G/u70fZ+Ii77Bqg92PvkgyqSuLBQ5SuVION636lerWq5rbuNq4LYhiz90UyXSV/9aC6RVjJjwcrznSwZMPmRnH49XIVeKE6KR1UkDnN3+dcWjKXHVcoFFyQQpZQwr3+PmdTz5Gu+BfW05Q0zqaeo7hBpI2RbbxS/VmerNKLs6nnCLWGUsgeQYwlWFgs5AOuVSwFEU9vFDRxUfVzA86nrfvdf0vJVCMhBbTZkbTY5u5RRdXb62KnIbjrbfUBuGOcpKCqKjISimFwsiSjqIpbwDWYrRnrJAkZFVSJQwcO0eiOBnz963IqVq2MLEnuffz/wlBV1RUiVfP1087r6OGjtLurOQtXLqVClUooquecjeevx0ft2psvofvHg9c1DJwq7cIuQ1o2vnvtFkjL4EarwMQzk4bwZNuHmdBsEqmkYJftHD52kj7jhrH3WKLerk7lO/j29JKA/Ww4+zd1Kt3B+v+2APDDxt85m3SBl7s9T4GC4ThVJ6Rb+PDr//HF7yuu9WkJrgP5YW4qfnELKFGiBIePHCUmxv8jfwKBEascRHRwMaKDiwVsY5GsRNojA9ZH2COwSOavHxWICoolSlgq5EsiIyNNAdMfMTExWCwWTpwwr/J+4sQJihQp4nefYcOG8eijj/Lkk08CULVqVS5dukTv3r0ZMmQIGzZs4OTJk9x55536Pk6nk19//ZVp06aRmpqKxSIyIa4FWRV1vcVWcx+Sj6ALhvmW4RjGfhQ8gq7WXhNxVUNbbXCyqroEXUCVjZXuiayqmmRRFTyCrruuRLHCHN3yCzHR0S7RTBNcDR7hKLJL0JVkt7Cm3QQzlmHYF0wZuvqJG/r3J+gaL5I/QdcPquLIPUEXhKibGapCrGwnNgO/P8D0JIzfeovv5CMciXBbOCVt4abjCW5+shJLQcTT/EB2Rd2sCrqAX1HXJIJqQq5R3DUKvt4qsi7wyiC5vmtkFRQ9hqI/LaCoilsT9VOHgoxKsduK8dd/6ykQXVC3W3DVe4RbkHTB1oNqEnQ952a8Hh5N1q+gq+1gFHSN52q8M2wko6xaIeheM1RVZfbyBcxevsD8N/TicsoVIuwRHLvk3+s2whbBucvmrN2Ne/6h6+j+ABn2Lbg5yQ9zU2GzkAWklPPIZ3YjH92AfHYPUsr5vB5StkhPz/hRSYvFQpEiRbBab5yJV1qan5WcBTcNVjmIRyo9ErC+R+WehNmiruOIBDcDdrudmjVrsnq1J6tbURRWr15NvXr1/O5z+fJlZNkcyrQAqKoq99xzD//88w+bN2/WX7Vq1aJ79+5s3rxZTDyvAyogyTIRUWHEFrQTF5ZKbKEgIqLCkAx/u9xcIA0Ce+lq1gvebf156Rp9dNPT0jJcGE2WZYrExWK1yF42CqrZSsF7YTT9hPwsjOY5K21Q/m0X9Ktgtl3wxNLMLRdcXQawSnCmC9uFPKJQUJTJgsjIbeG3Ucju329ecGsj4mn+wUeYTLmAfGYf8tFNyGf3IaVccJWTPS/dzBZIM7bJaEE0vV6v83jpGm0XPN65Mo50h8/CaEbbBZvVQpEicditNh8fXe+F0bytFYx2DH6vn5ftQpYWRsPPfNrfHeigTATd7CAsF7JNRmLrotXLaVO8fcD6uws355s/Aj9VKoTcW5MbPZYKMTcT5OQjSEseR5peG+mDe5Cm1UJa+gRy8pHMd84Bs2fNosRtxVEU8927Th078uQTjwPw1bJl1K5Vk7DQEMqVLcPo0aNwODyTJqtF5v0ZM+h4331ERoTzxhtjOXfuHI8+8ghFCscRHhZKxQrl+XjOHMBli2C1yGzevFnvY9u2bXS4914KFoiiQFQkTZo0Zu/evYDrH/CYMaOJL1mC0JBgat5ZgxUrMn7c4JdffuGuu+oSGhLMbcWLMXjwINOYmzW7m/7PPcvAF56ncFwsbdq0vqrrKMh7SkWV4+EKXX3K7yl5D7UK1xFLsAj8MnDgQGbPns0nn3zCjh07eOaZZ7h06RK9evUCoEePHgwePFhvf++99zJjxgwWLlzI/v37WbVqFcOGDePee+/FYrEQERHB7bffbnqFhYURHR3N7bffnleneUshyTKFosMJ+2kQ1tkNsXzSBuusBoT9NJjo6HCToAu5s0Dax4s+p3KTNiiKYvDIha59X6TfkNEoKnyz+hca3v8Ihao2oMo99/H6tNmkORz6D/bgsrWYOXcxnZ56gQJVGvDGtA85d/4Cj/QfTJEaTQkvV4cKjdozZ9EXoCgkHjyMXLQym/7Zrou423bu5t5uTxFVqhqR8VVp3K4Le/ftB0VFURRGj3+HEpVqEhxbihoNmrPi+9W+Qq5BwP3lt9+o2+gegqPiKFaqAoOGDHfFUnf93S3a8OyAgTz/4ivEFitJ63YdTFfQ64KCn8f3Awq6IATdPCDOEsLkppMIs4WZyiNsEbzT5C1ihRWRIAAinuYfdB/Z5ONIS550z0ubI02rjbT0KeRkj3djboi6RoHzw9kfUqpEaRRFMXnnPnh/F55+8hkkSWL518tpWKcRMRGx3FGxGm++/iZOh6L3Uyg4mjmz5/BI50coGR3P5AlTuHDuAs/06svt8VUoHVOaBtUasOizRciSzOGDhykZWZId/2zTxeDdO3fT++EnuDP+DmqUrEr3dg9xKPEA4BJIZrw9jWbVGlKjRBU639OBNT/9muHCaOvX/U2P9g9xV5lqtKzZmKlvvoPD4dDb9HnoMSYMf4O3R4+neY1GPNejT9Z8dHNb0BWibq6wdf8Ogi9HUL9wfZ+6Tgn38++OvZxNPn/9Bya44bmRY+mNk4p5AyKlnIdlzyHt+9Fcvnc16lf9kR74EDW4QK4es/ODDzJgQH9++ukn7rnnHgDOnj3LypUr+Pqb5fz222889lhPJk+eQsNGjdi7dy/PPN0HgOHDR+j9jB49ijfeGMekd97BarUyYvgwduzYzjfLvyUmJoY9e/Zw5coVv2M4cuQIdzdtQpMmTVn1w2oiIyNZu2aNLr6+++4U3pk0iRkz3qd6jRrMmfMRnTrex9Z//qVcuXJ++7u3fTt69uzJxx9/wq6dO+nTpzfBwcGMGDFSb/fpp5/S5+mn+fW333PrcgquIRn7dEGYrQB97uhLp3L3sypxJemKgxbxLSgadhvh9oLXa5iCm4yHHnqIU6dOMXz4cI4fP0716tVZsWKFbjx/8OBB093OoUOHIkkSQ4cO5ciRI8TGxnLvvfcyduzYQIcQXGciIkKwrXwZad9PpnJp349YV75C+N3jSL5wyVR3tdYLHVo1Z/Abb/Hrn+tpfFcdZAnOnL/A6t/X8b/3J7N2/Sb6vDqC8UNeon6t6iQePEL/4W+gqjDkuad0L93X353FmJefZeKQgdhsVka8/R47du/j6znTiClUkL0HD3ElJdWTpesegKqqHD12jCYdu9O0fh1WL/2EyMhI1vy1EYcjHVSFKe9/xKRps3n/nTeoUa0qH81dxH0PP8a/f/5EubKlDYKu6/3IkaO06/QwPR95mE8+mMHOXbvp/ewAgoODGDlsiFv0hU/nzufp3k/w+0+rcD/7GthyAcCZBhbzo/wBLRfAI+hm1XpB2C5kguS2zAjwSK3qpGJoEZa2X8TfJzaw48wuqkRXombhGhS1hgXeT3DLI+JpPuPKhUzmpbNRgz1PvWXVesFV4t9PV5IkOj/YmRcGDOSXn36h2T3NANfcdNXKVXz59Res/X0tT/XqzcR3JtKgYX327d3Hc31dj6YPGjoI1R3Dxr8+geFjhvHGxDewWCyMHz2e/3b8x4IvFlAwpiD79uwnJSVFz9DVji9LcPzICR5u8yB1G97F3K/mExYexoY/N+B0KkgSfDbrYz5+70NGvv06lapWZum8xTzb4xmW/bqckqUSTIK1JEkcP3qc53o8TYcuHRkzZRyJe/Yx+pURBAXZ6f1CP7egK7F86TIeeOQhPlj6WQY+un4usSbopvr5ftYEXWG7kKsE2YIoEVuU5CuXOHHOdwFugMfHv8LEpwfTvlZHNp79G5tso2ah2vy6YT1D5751nUcsuFm4kWOppN7EOeNJSUlERUVx7PR5H7+L1JQUjh5KJCEhIcfGwvKZ3UjTawesV/v9jRLtK15eLfd36kR0dCFmf+BavXj2rFmMGTOaxAMHad26Fc2aNWPQII/6P2/uXAYNepVDh13ZwlaLTP8BA5g06R29Tcf77iMmJpoPPvzI53jeC5YNGfIa/1u0iO07dmKz+U7WSpa4jWf69mXwYM+KfHfdVZfatWoxddp0n/6GDh3CF59/zr/btut3O2fMeI/BgwZx9tx5ZFmmWbO7SU5K4u/1GzK8NikpKSQmJlKsRAJBYvGFPOFyehLnU0/z7+l/CbGFUqlQJQoExWCVA5uGB7KXEuQuSUlJFI0pwIULF7LkqZeV/qKioijQZTaSPTRHfahplzn/v6dybUyCa4P2tx5czkKwxSz2hRWNp/6QaRSPjcWag+d54grasc5uGLDe8dTvnDoX2FrHn6CrIXlPSA1tezz3EoUKRDFlzDAAPlv8ORPe+4B/fvyGzk8+S+O7avNin176MRZ+9S3DJ05l92/fIUsQVqE2z/bsyltDXnQPBB7oM5CYggWYPWGEK54ZsnwSDx+lbIO2bFi5hOq3V2TIm1NYtOw7dq75zhVLJbdo5x7obVUb0PeJR3ht4HOuAUgydZu1p9ad1Zk+aRyJBw5RumpdNq75gerV7mDIqHF8vuxrtm/6wx1LZd6b+QGDho3i/ImDyBYrd7doS1JyMhv+NN4U9X1sNCUllcQDh0goZCHY5h6TxdebNaCgq5EdL10Qgq4BBzInnZfYeyGRU1dOUbFgBQoHRxOd0TWSLCBbQHEKEfcakpSUTFSxsrkeS5feJRFmzcxF3D+XHCoP/KGKWHqDo/2tj5896mdumsrRA8dIKJWzual0em8W5qWlfcsz7FX1+uS/9QOdOhMdXYiZs2cCMHv2B7wxZiy7E3fTvvW9NG3WhJdffVnff8HcBQx9bRi7D/yHqqpEBkXR97lneGOiS8xQUOn2QDcKRRfi3ZnvoqgKKiqKW5Y4mHiQulXqsnLtSipXrcybI9/kqyVf8eOGn7HYrKiqp62iqjSqXI9uTzxCnxf66k/XdGl5P7dXv52hb47k8IHDtK7TjP+t+pKKt1fi3XGT+GH593zxy3LdC/V/nyxgyhtv88v2v5Akid5dHuPSxYvMXb7YcIH8+Ds5FU4fO8XTX7zOgeOHfS+eP0FXIzuCLghB1w9BtiDGPDGQqhXKk3hxH5G2KKKkQrz52Qx+//dvv/tEhUVSq/wdOJ1O/ti5iZS0lOs86lsEhwKrj+Zq3NK+Y8OevxMpoyz4DFBTnVyavDFfxFPxqzojUpOurj6HdOvWjT59ejNt+nsEBQUxf8F8ujz0ELIss3XLFtauWcO4N97Q2zudTlJSUrh8+TKhoS7BpVbNWqY++zz9NF0e7MymTZto3qIF993Xkfr1fR8zANiyeQsNGzbyK+QmJSVx9OhR6tdvYCqvX78+W7du9dvfzh07ueuueiYfovr1G3Dx4kUOHz5MyZIlAUwm0IIbk4tpZ5i6+V2+3POFXmaVrLzecCwNijXFHuBxTyHi3txYbFZkW87ChaKKMHPLk5acYbWUlgwEvhmUWZYueERdY5Zu5/atGThiLOOHvUqw3c7ib1bQqU0LZFnm3127+XPTVibNnOPeAZxOhZTUVC5dSSEsxDXRrnF7Jc/iKIpE724P8HC/V9i0bSfNG93FfS3vpn7Naq6jG71sFYXN23bSsO6d2KwWw2JnroXLkpKSOHr8BA3q1HK3dy2MVr9uLbb+u8OPKbDCzp27qFenluuMVRUkhQb16rpj6RFKliwBqNxZo3rgbFyfcgNOt6BuEHUzzNCFnC2OJgRdHMj8e/EAT6/ux6V0T1Z6zbg7mdDwDeLkANdUdYJTTOZvVoItrldOcIrfUYLUC5nU+5+XZvwknbk20AJpXbt15Zk+zzB1+lTsdjuL5i/kwS4PYpEt/LP1H9atXceEcRP19trc9MrlK4SEuuYGNWre6fGrVaFX78d57OHH2Lr5H5re05TW97am9l2u+atxzihLMtv/2U6d+nX0uakieRJik5OSOXn8BDXvqqUvjAZwZ5072bltp7s/TO/7d+/jjprVkWVZX0StWu0aXL50mRPHjlO0uGuR50q3V854YTTvixpsgRSv7+ggS2BBVyyMdlXIssyC4e/y9emlfPrXDL08xBrC0MdHYP3Ews9b/vDZ78KlJFZvEk8C38zYbRakHM5NVQUuZd7spkB45mZEUCZKfWb1OaT9vfeiqirfLl/OoUOH+P233+jWrTsAFy9eZMTIkWzYuEl/bd6ylZ27/jPd5Q0LM3urtWnThn37Exkw4HmOHT1GyxbNefnll/wePyQkb/zXvMcsuLGQgDVHfzcJuQAO1cHg3wZx+or/1UEFAsEtTiYLNKlZXMAp0AJp4BF19c8qtGjSCFVVWfXL7xw+dpw/NmzmgfZtUFS4dPkKrz7bm58/n8evn8/j16XzWLtsARtXfI7dbtfnZyEhIQbPXZVWjRrw38/f8Fyvbhw7cYpW3Z/mlbGT3AuiuY+tKKiqSkiQXbdcUPUF0Qzvrsael35yhsXQtDamkzMufGbcx7Ud5p44mxc5My+M5rmoTl9fW6c5S1pVHMJHN5c56bxMnx/6moRcgA0nNzLz3w9JlcTPc4FA4EVQJgsHZzIvDeyli0+Nt5du+3vbueem33H48GF+/30NXbt1RULi4sWLDBsxlD83/KG//t70F//s2EpISIjeT1hYmGlxtFatWvDPf1t45rmnOX7sOJ3bdmbU4NHuxdTM4wgJDnHbL7hu7Go+uuBaGE0ft2EBNE2aNi9w5t8/19PasDAaEBIWamqjd+L/srnwd8cmMx/d7HjpCh9dnXvvas621E38ffIvU/kVxxVGbRjO4EefyaORCQTXB/FrMQPUsFjUMvf4rytzD2pY7DU5bnBwMJ063c/8+fNZuHABFSpU0LNWa9x5J//t2kXZsmV9Xt6r5nkTGxtLj549+fSzz5g06R0+mD3bb7uqd1Tl999/8121E4iMjKRYsWKsXbvGVL527VoqV6rkt7+KlSryxx/rTKtArl27hoiICG677bYMxyy4cbiQdoYP//3Ab52Kyld7l2X4OLRAILg1SVFsqKWb+a1TSzdz1ZPZo6AeAom63oJucFAQ7ZrfzdJvVvD5t99TtlQ8d1SuCEDVShXYvf8ApeNLkBBfgtLxJShV0vWSZdnUv7atCbqxhQryaMf2zHl7DBOHDuSDhV+445shO1hVqVqxPL//tYH0tDS32OsRciPDwyhWJI41f7mthdyC7to/1lOpfDnzImju/SpWKMu6P9d7+gHWrPuTiIhwbite1OtiGPc1CL56vdcFzETQdXUpBN1cQZLZee4/Ljsu+63+cs8yzjjyS86IQCDILdSwmEzmpTFZ6ie7C6SBa27asVNHFsxfwKKFiyhfoTx31nTPTWtUZ/d/u/X5aJmyZShbzvVukS0GsdQjrGqCbmxcLN0f7casj2cyduLrfPrRp8iS7FlozS3aVrq9En+t+0tfoMwo6EZGRVK4aGE2/bkBWetfgk1/baBMhXJmIRaXFlu6fBm2bNhkKJPY/PdGwsLDKFy0iGk+YxR99b6kTCY82RV0IWeLo93idGvZgW8Ofu23Lk1JIzFlPxVLlL3OoxIIrh9CzM0ANbgAdHjXJ3CqZe6BDlNzffEzI127dePbb5fz8Zw5dO3WTS8fOnQYn332GaNHj2Lbtm3s2LGDRQsXMmzY0Az7GzFiOF8tW8aePXvYtm0by5cvp2IA8bVfv2dJSkqiW9eurF+/nt27dzP3s8/YtWsXAC++9BITJ0zgf4sWsWvXLgYPHsSWzZt5rv8Av/0980xfDh06xID+z7Fz506+WraMUSNH8vwLL2QqQAtyjkNJ4fSVwxxM/o/TV47gUK7OD0hRHZy67N9QHuBQ8iFU7wwygUBwy5OcfIX0VhN8BF21dDPSW00gOdmzGGd2RV1vVCSTqHt/u9b88OsaFnzxFQ+0a60f46VnnuR/Xy1n/PTZ7Ny9lx1797Pk2+95fcoMX4cDPALyqCnv89Wqn9mTeJDtu/by3Y+/U7FMgnsfj2iqqir9ej5EUvIluj7zEus3/cPuvYl8ungZu3bvBVXhpb5PMGHqLBZ98Q27du9l0Kg32fzvdgb06eU+ObMg2/fJnhw6coTnXhzEzp27WPb1ckaOHc8Lzz3jjqV+MnhNWbza2QS6oELQ9Ytk4aQzjd0pZ9mbep4zSrrH+zhH/ckcu3Q8YHWakkZadq+lQCDI/4REZTAvfRdCosyCYyZkN0u3a7eH+e7b7/h4zid07dbVVSdJvDZ0CHM/m8fY0WPZvm07u3bsYvGixYwaPsot3BrEUO0/SWLsqHF8+9V37Nu7n13bd/L9d6soX7G8aQE0WZKRJYnHn36c5KRknn3sWbZs3ELi3kS+WLiU/bv3ISPxVP8+zHp3Jss//4bEPft4e/QEdv67gx59enpdE9f7w726ceLIccYNGUPinn38tGI17789jUd6P4bFYhagtbHjvW3wzQfA5pUx689XJciSeZZudriJBN3QoBAGPPA4306cw9cTZ/PlG7N4oFGbq+ozOMju84SLkTOppykUUeCqjiEQ3MgI47JMUCKKIz3wIVw65fIiCop0ZexeQyEXoFmzZhQqVIhdu3bRtatHzG3VqhXLvvqa118fw8QJE7DZbFSoWJEnHn8iw/7sdjtDhrxGYmIiISEhNGzYiPnzF/htGx0dzaofVvPqK6/Q7O6mWCwWqlWvTv0GLp/c557rz4ULF3j55Zc4efIklStX5osvl1GunP/F4IoXL87X3yzn1Vdf4YMa1SlUqBC9Hn+cIUMyFqAFOScp7TQzt7zHl3u/xKE4sMk2OpXtRO87nibCnrU7994EW0KpGlOVP4//6be+QfEGiPtDAoHAG1VROHPmIhF3jyP4nnSXh649ghTFRvKZi6iK700gg8trhgTy09UE3UZ1a1MgKpI9+w/QqW0rvf7uhvWYO/0d3p7xAVM//ASr1Uq5Ugk82vk+NHdbrX9F9fRvs9kYNmk6B48cJSQ4mPo1q/PppDdci7EoWmauS3wtVCCK7+fPZNC4ydz9YC8sFgvVq1SkQe0aqKpK/ye6cyEpmZdGjOPk6bNULl+GZZ+9T7nS8V62C4CqULxoEZYv/oxXhr1O9Y/voVDBAjzeoxtDX33RywsX82fV5dPrKTOmHaeDE49PrrenrTPNZ2E0TdD166WriZBZ9dHVBN0b1Ec3Bdh0bicj1o3i2CWXlVCZAmUYW38MFUKLYvUW0LOC4qRytP+b6QBxoXGEWAJ7SAsEglsXNbIoPPABXDptmJfGuIReAyaf1wwI7KfrW6PNTf/b9R8Pd31IL2/VuiVffvUFY8eM5a2Jb7vmphXK89gTvfSxaH3q2yoE2e2MHDaKgwcOEhwSTP0G9fjo0w9NArDs3o6JiWbJt0sYPWQ0D7Z5EIvFQuWqlal1Vy1kCV3sfXPYWM6cOkOZCmV5b94sEsqUMo1BE3aLFCvKe/Nn8/ao8XSe9z+iChSgU7fO9H7e8Fi+e6iy5ArHxmvq46NrxNvXVvjoEhkaweLR0/nq2FIGbXoRRVUIsYbwwN2daVHnDZ5++7XMO/HDkZMnKBlRkoPJB/3Wl4soz56jC69m6ALBDY2kZuWb/gZFW83u2OnzflYMTeHooUQSEnK2YqjgxiQlJYXExESKlUggSPxd/ZLiuMibf43hu8TvfOruLX0vL9d+jSBLzvyJ957fRvdvu/ksjFAouBDz2i6gUHDRAHsKrgdJSUkUjSmQ6ytwR3efg2wPzVEfStplzszrlS9WDM3PaH/rweUsBFvME5OwovHUHzKN4rGxWK/z/ZrsOLcEsnmR/E1TJe82vv3IXm2NPnre7fQJqmz27JPcmTuSIYNHkiSQZUO57DmQJHvewfWuH1j2bauVm971EZo/G+pTUlJJPHCIhCgnwZqOahRtvcVVL0FXI8PF0bKzMJq/Y+Y5EjtTTvHQ8q4oXk+dhFhDWNJ+ESWtOYulp5V0nv5pALvO7fKpe6PB67Qv1ghJvUkyl/MhSUnJRBUrm+uxdHkDiTBrzvyoLjlU2q1RRSy9wdH+1sfPHvUzN03l6IFjJJS6vnPTrE71A7fyrfGeBwQ6ntZOf1dV07ZW59l2ec4rXu0VVdH3U9y2RVq51k5RQTH0pagqimroR7OqVw3H8yrP6N10f9VY51A4fewkT389jgMXDOuHeAus3oIuBBZ0IXuCrr/j3UBMHTCK3x3fs+3sNp+6R8v3ZN0PO/lyzcps91slvgLD+vXh9U2jferiI+PpFvc43cf4f3JYcB1wKLD6aK7GLe07tuDLtZGCcrgAWqqDcxP/zhfxVKTRCQT5jKS0s6xIXOG3bvn+5VxIPZPjvktGlGZmi5mUjCipl9UpUoc5rT4mWgi5AoEgl7la2wVXH2brBfC1jDV+NHrkKnhsZ7UsXW1M2mfNS1dVXR+0yaFuvaBNPBXF451r3NYXQfNeJM2wMJriVebdBvxYKnh99qnHbKVg3PZnuXCL2S5cRmXm1tk+Qi64Flf5at83OOWcPeIaI9uZevdk2ia0wSK5+ogOjmZM/VE0KlxbCLkCgSDXyI7tQna8dKVArY2WBAbvW63OaLWgf/by0rVIsu6Jq9kuWCSLe9tTbpEsLo9dLx9d12dJXxzN+yar5FWe4cJo+kJrvudoOlebjGS0PfC2QAjkoxvIdiGfLIxmt9kpm1DSr5ALsHTfYnq2vT9HfW87sIs//vqXV6sPJi40DnBZczQp1oQXKr7C8+/6irwCQX7iRkuDEAgEV8n51PMB75grqkJSWhJxOUuyxGYJoXrsXXzY6mMupSdjkaxE2KMIsUZmWXAR3HxYbVZkW87ChaKKMCO4eq7WdsHVhzapNCxUhsGNwN1O8upHs13QXAo02wVdMjUMTlZVJEVClY29eaRkVS8ByW0voWpZuvqRTEYP7m5k94E1ywR3G0nyiLRauclSwd1O+6zVG9FEWovdvO3PAiGA7ULADN2b2HbhspLGtjP+J58AG09uIqV8F8KylT+uoVJUtjOi1os8V70vac50Qq3BxFlDkdUbN7tKcHX4s9DMKk7xI0twFWTVdgE8Mcp/DaZaCcnvnEMTOVVV1dvo736CroR7fBKgak+RKMgqKIZ6WZJRVMUV4yXJlXmrugQ8BQUZFRnJdQ9UMmetKd4HNaCqqvu3QMbf57KeHey5pt4+xZLdgqplyWbFcgHyte1CXFQ0xy4fDVh/2XEZqy3n+YWTl3xE7a3V6de5NwUjI7FIFlb+8Rsd3+vNxStiMdH8itV6FXPTG+f/HldN3v9aFggEuUqYLePHPkOtOVRy3ahApD2GyBx67woEAkFO8D8F809moq7ReiEzUVcTdAE0jVb/LHmydLWdZFUFp3uiJ7vkW22iqAu5uLN2Jckl6sqyu1xxN9DEWK+FzRQ5Y0FXIzNBVztTZzpY3UKrUag1bmfRRzdDywVnevZsF7yPmQfYJStFw4rqXrnelAwvQZBkhasQX0ORXDFZO1Uh5AoEgmuEUWDNtC0ZPRVjrg0k6GrH1ARdI5qoaxJ7Jcl851aVdUEXXOKsJtwCuqirYCiX3OWooEp+BV2jcKuJsRjKVS+h1t+7yUfX3bfN6olZmQq6cMv46J6/lESh4EIB6y2SBZmryyj++7//s3fe8VEU7x9/797ulfQeeu9dQKqIYldEsYNdROz+BBVRUVAUK+rXjmJHAbFhBRtKU5pIld4hgdRLu7K3+/vjSq7spZFAwH37OnM3Mzs7dwk3O5995vOs4Yan1hxRHwYGxyOGzYKBwQlGoiWFTimddOu6pnUl0ZJ8lEdkYGBgUHscbesFv8sBlMuqetYLgbaULxhRQfNoQdYLXrsFTVVDLBgCtguB8jDbBdUTarsQYbmghdothNfpWC4EFvSKs/xNH4HtQoWWC3Dc2S4kiBJjut4ctX5EhyuRDPHVwMDgOCM8kjRqOyq6eRpaW5ntQsCWIMh2IcJqAb3nIqJg8tom4LdPEAPWC8G2CyHlQbYLpsDrIIuGgL2CoPMoH3dFPwM3i4M+S7McKuiWV+iIldFsF6JRHcuFaOc8BhSXlVBS6ArYIIRzeuMhfLv4t6M8KgODEwNDzDUwOMGIk5N5bvALtEpsFVLeOqk1z5z6LLGyIeYaGBgc/1RH0K1I1A15rREi6lbkpetv768L9tL1twv30lXVclG33DPXJ+J6PDpeusFCbpCIG+6jGxh8RT66vpEHvUnNL8hWVdDVE3WDPz9VOXF8dDWVTkltuLPHHQFfWwCzaOapgU/SxBI90sjAwMCgvlN7om7wq8q9dIPbBHvpBupq4KVrEsQQL12/oGsSQ710xQhRN/KzqKmPrix55wmzLAVE3QhBt6o+utE4Tn10H337RR7q9iiZMZkh5T3SenBO+gW89+Nnx2hkBgbHN4bNgoHBCUiarTHTz3qHw6XZHCzJomFcQ9JtGcRXYI0goLNl2MDAwKAeUxvWC+FeuhDkUBB2jnAvXQi1XtCzXfC28XrpAgHrBf+ZA3YLBHnpiqKv3L8FNNhLVy33vvXbLkCotUKltgvl70zzOBFMlnJBV7JEt1yAI7ddOI4sF5IEE9e0vpjzW5zD9sKdyKJMi/hmpEo2oueiF3zvTwDVHfm7MDAwMKhHVNVPN9IxN3qNX6QNt18I99KN1k2I7YK/ropeuirlgrGGFvDS9dsumILer56PbqitQvDAwuvKLRf870uWJNyK9yakWZZwuZVQywWomo9uRZYLcNzZLmw/uItbnn6Yx0f9H4nJseQ588i0ZbJ+6zYue/R2HC6H7nG923WnZWZTDuYdYsnGFVX2fTYw+K9giLkGBico8eY04s1ptErqXGE7AchzZLHq0EoW7fuDJvFNuaDlBaTZGmI22Y7OYA0MDAyOgGCbvcrw++BG9lG5l67/sOA+ghOkBXvpBrdT8XnpQlCCtAq8dP0+fsFeuoheT1VB8CUx853NL+gGkpsFJU8LeOuiL+h6XGAyoXm8Qm5A1DUE3QCxgkisFEvT1K6+kuiLyQJNYV9pDl9t/5oSpYQLWp5P+8RWpIuWCo8zMDAwOJbUXoK0MPE2ip9u8Pl0E6SF36nV8dI1+ebQYC9dVVO9Yi1aiJeuiopJ8N58DU+OVi6JRl5JhPvoRtYJgYsEv2duNEEXCPXRhXKBVc9H1x+he4L46O44uJtrptyLzWIlISaeXHs+ikd/902P1p159vbxbC7ZxK7SHfS1nMKkpLt5+qM3+Xn14qM8cgOD+osh5hoY/MfJLt3LjfOvJ6csJ1A2Y907TB30NKc0Ph1ZjB5/ZGBgYFBfqG9RuoG6KFG6GppvNXmEUboAHrxibXiUbjRBN/jd+MVbwqJ09QRdqHZiNO9pdS43/ZYLVRV1/ZYLxywxWsVCR76qMH3jh3z878xA2bc7vqNbWldePPU5MsRqiNcGBgYGR5nqJkiD+helG4jGrUaUrqhpqJoWFKWrdxWhRSRGK68pxy/e6gm6QO1H6R5ngi5AmdNBmVM/EhegRWZTnrtnPBNXPkSxuzhQLosfMemaJygsKWbF5jVHYaQGBvUfwzPXwOA/jEMp4pnlU0OEXPBeOD2y+GEKnTlRjjT4L2GSTUf0MDA4mvi9a6tCVROk6Xnp+l9GS5Dmrwv20vUnSAv30vXmQAvy0A1OlBbNS1dTvX66esnRVCXSZ1cvMZrHBR6nV7z12Sz4o3QDtgvhyc4qS4ym93meKD66URHYW5YdIuT6WZuzjm93/YgqGN+F/3UsJg1rDR8WkxHZbXB0qKqXLlQ9QZq3pHoJ0gJ1wQnRaslLVxRACkmqFpRITYyWHC2Kj65vrFKQZy54I3T90bpRE6NB7fjoVod64KFbEfePGM3/Nr4YIuQCuFU3z/zzFA9cfcsxGplBfcIsm47ocaJgiLnHGZMnT6JXz5OOuJ+FCxcimUQKCgqqfMxNN97IJcOHH/G5DeoPRa4ClhxYolunaAobctZXeeuygYGBQX2iIunj+dff4szLRgLVT5AWzOLlq0jvfDKF9qIKBd1gUXf0+Elcfvt9AVG3XNAtT46mhYi3fuFXDRJ6/SKuFinaejyhydH8wm14sjTwCrnBP6MJulD1xGjh4q//86htQbceibqqKDFny+dR62dtnk2up+wojqi+YVxJGBgcb1RV0H188uP07tkrWi9hr6InSPvj9z+wSFYKCwpD2oaIuIQ+v/Xm2xh52TUBUbdcnBXLxVuChFq/yCuaAqJusKAriWJIcrRwQdf7uURPiCbLkeJtNEE3IjlaMNEE3Wii7nGaGE2PFk0bs7Nwp26d3WXHFicjmf57m8sFQSAhJh5ZMnb5GJRzzMXc/fv3c80115CamorNZqNr166sXLnyWA+r3jJu3H0s+OnnI+5nwIAB7Nt/gMTExCof8+JLL/Hue+8d8bkN6g8ezaPrZeWn2F1yFEdTP3AqxRwq3cPq7CX8m7eGfEcWmnZstyQZGFSGMZfqEy1K97YbrmXOO6+HlNUkSvfkHt1Yt/AH4uPjQvpQ8Ufghoq6AM88fB9vTH0sNErXExql6xd1QwRdf5Sux6Mfpatp1YzS9dss+LY71kTQrWaUbqWC7nEapasCRe6iqPWlSinqfyxxiyqIZHmcrCnex5L8f9ntLqbISAZnUM8x5tJQqhKlO27cWBb8tOCIo3T7D+jPnv27SUxMDBF9g6N0/a/943pu2rO8OeONkChdESEkStcboVtxlK6IN7q3elG6Qc8BWRIxyyZkWUKWJcy+B4QKulGjdKsi6MIJH6XrUSteczk8jsDn+V/ALJt59Lp7+OnFD3nrscl89ewbfPTwNFo3bHGsh2ZQDzim/xLy8/MZOHAgp59+Oj/88APp6els3bqV5OTkYzmsCIpcdvIceRS7i4g3x5NsSSHenHBMxhIXF0dcXFzUepfLhdlsjlrvx2w206BBg2qduzrCr8HxQawcT/OE5uy279at757e/T+VsqXYncfba99k9ubZAZE7yZLEy6f/j/bJXRCE/87Fg8Hxw/EwlwqiiJYYS4msUqwUEy/HEeMSEQpLvFGodUy4n25sTAyxMTER7fyCq6K4Mcuh0Q96CdJkWSYzPS1wDj0vXX9yNPC+jo+LC0mQVpmXbsC0tzIvXcFv7luBl26gTvX25HYAQWItQJBnboiHLpT76IJ+crQjTYwGx1VyND+SpnJBi/P4dc+vuvWnNRlMomSNDO0+QVEQ2Vi8jzt/vZt8Zz7gFWAubXsJd3a9hdRj/PsyMNDjeJhLAezOIvKdeRS5in3r0mQSLPF1es6K/HSD16Z6Xrrla9PQBGnhXrrha1O/l64/OZreCZKSksrH5PPS9drrlnvp+tv7E6RFeOkKGoKm+m6QCoHkaKIgVOKl67356jfVlwKCrQmX24MsS7jdSvV8dPU8dOGE99ENxlWmkGBOwO6yR9RJgkSCmFih5+6JhEk0MevRV/g5/zv+768PAuUNYhswfcKT3P7so2zet/0YjtDgWHNMI3OfeeYZmjZtynvvvUefPn1o2bIlZ599Nq1btz6WwwrhUGk24xc9wEVfD+Pq769m2FfDeHDReA6VZtfJ+d6ePp2mTRqjhi1uh198MTePuinCZsFvffDUU0/StEljOnXsAMDSpUvp1fMkYmNs9O1zMl9/9RWSSWTNmjVApM3CB++/T2pKMvPnz6dL504kJsRz/nnncfDgwYhz+VFVleeee5b27doSY7PSskVznnrqyUD9gw+Op2OH9sTHxdK2TWsefXQibnc1o24M6pQEcyoP931E9w75eS3OI8WafgxGdWwQ0Ph1z0/M2jwrJFq5wFnAmJ9uIddRN//mDQyOlPo+lwqiiJKZyKQNz3PJD5dz3U83Mvz7y5m84QWUzEQEsfYvRT7+7At6Djk3Yi694a6x3DtxcojNAsD/PTyJG+8ex8vTZ3DSkHMZOPRSVA1W/P0PZ1w6kuY9B3D2Fdfy/S+/k9nlZNb/uxmAJctXkeGzWQD49MtvaN3vdH5dvIx+Qy+nWa9TufSWuzhw2Os/rmlw24RJXHXHfYGoYcWjMu3tD+l81nASOvenzeALePq1GYEo3QlP/4+Op19MQof+tD3lAh597lVcTmfNvHT9dZpvMIoT3GXg8lkAKA5vhK4n1EO32rYLwejYLlQYoQvHX4Su5qF7WmdaJ0b+m4uVY7m5yyis/xEhFyBbKeHmn24JCLngFWzmbv2c73YvQDXEXIN6SH2fSwEOlR5i/KLxDPvqoqB16YMcKj1UZ+ecPv1tmjRuiqqqIVG6wy++hJtH3czkyY/TK8hm4aYbb+LS4Zcy9ampNGvSjM4dOwP+tWlv4mLi6dunH19/9TWyycw/a/5BQOD3hb9jNlkCa9OPPviIjNRMfpr/M9279CA1MY1h51/EwYMHA+MYc9MYrrpsRCDaVtM0XnrhZXp07ElGQgO6te3GtKenBeqfeGQK/bsNoFVaK/p27suzTzyL4lYivHT1onQFAV+kbnQfXTlI0IVI24XgiNIqR+jC0fHRrSdRuq9/OZNRHUbr1l3e+ko+/embozyiY8flgy9gjWM5fxz8I6Q8qySLyX9P5Mlbxh2jkRnUF46pmDtv3jx69+7N5ZdfTkZGBieddBJvv/121PZOpxO73R7yqEuKXHYmLXuMpQeWhpQvObCEycsmUaRzx+hIuezyy8nNzeW3334LlOXl5TF//o+MGHm17jG//voLWzZv4cf5C/h63jfY7XYuvmgYXbp0ZcXKVUya/DgTJjxY6blLS0uZ9sILvP/Bh/y28Hf27t3DA/ffH7X9Qw9N4NlnnuHhhx9h3foNfPTxTDIzMgP18fHxzHj3Pdat38C0F19ixjvv8NJLL1bj0zCoazSgU0o3Pjr/Y/o06IPVZKVJXBMe6TeRcb0fIEb+70RjFzhzmL52um6dw+Pgz4PLDNc/g3pJdedSOLrzqZYYyxOrnmbZwWUh5UsPLmXKqmfQEmNr/ZxDzz6T/IJCliwv3x6bX1jIwiXLGH7BebrHLP5rBdt37WbW9Nf48NUXKSou5ro7x9KxbWsWfPYx4++6lSkv/s/7niqwXigrc/Da+x/z+tTJfP3hdPYdyOaxZ18KxMP6OghE8D427TWmvf0BD9w2ilXfz+G956eQkZritV3waMTF2njn2Un8s+Azpj16HzM+/YKX3vk40ktXVSv20lU1n0VDkM1Cqd0bnesXdF1lobYLQeJtiKAbnBzNT0U+uuH1eAXdEykxWqZo5c0zXmV0l1GkWFOwSTYuaHk+s86fSVNz3UbN1SsEE6sO/U2Zou8RPGPDexxW/nsWTgb1n/o+l9qdRTy2dJLuunTS0snYndGtXo6Eyy+/LGRtKggC+fn5zJ8/nxEjR+oe8+uvv7Jl82Z+nP8DX837CrvdzvCLhtOlSxeWr1zO5MmTeWjCwyHH6AWWlJaW8tK0F3nv/Xf55bef2bt3LxMeeChgtUCQuCwIApMensSLz73I+IceYPmav5jxwQwyMjMCtgvx8XG8Nv1Vlvy9mCefm8LM92by9qtvV+qlKwoCJlGMsFgQfWUIXuHWbJYDic8qEnT1bBciBN3aSIx2HNou/Pr3Etau3METvZ+kc2pnLCYLrRJb8UD3B5EPJ/Dej58d6yEeNa4483y+3/2dbl2eIw/NqpCaUL92DhgcXY7prfEdO3bwxhtvMHbsWB566CFWrFjB3Xffjdls5vrrr49oP3XqVCZPnnzUxpfnyIuYMP0sObCEPEderdstJCcnc+655zHr008444wzAPh87lzS0tI4/fTTWbx4UcQxsbGxTH/77YC9wltvvokgCLw1fTpWq5VOnTpxYP9+xoypOPuj2+3m9TfeCNyBvv2OO5jyxBO6bYuKinjlf//jf/97het8v6vWrVtzyimnBNo8/PAjgectWrRgy5ZxzJk9m/vvf6Aan4hBXSObbLRN6sqzp07D6SlDFEwkmlMjEv/UlDLFTrGrEA2NWDmBODmpVqwbVM1NgTMHl8eFxWQh2ZLh3U5c4/48HC47HLV+e8E279at/05wVQBJkhDlmk0XqmpEYNU11Z1L4ejOpyWyGiHk+ll6cCklPe6ltuXcpMQETj9lAF99/yOD+vUB4LsFv5CSnMTAPr1ZvvrviGNibDaenzwxYK/w4Zy5IMCzkx4hxmqhfetWZGUfZtykKYFjwr8ONMCtKDz36ARaNmuCAIwaeTnPv/EOqua1XvAfo2lQWFLCGx/O4vmJ9zNy+FAEoEXTJgzo3SOwdXTCbTeD6F08Nm/ciHtHX8Ocbxdw3603eHeV+pRkwRs25NsM6jd4UH27QzUQVO93pCr6EqFpXuG2qiJosO0CBKwYQqwUwm0VjtR24biyXNBoIJq5veM1XNn2UgDiTRZioFYmDkUQOayU4vS4sJjMpEuxSLXh5y6YyPU4KPY4MAkmkkw24gQRfbfpqvQnsr1wR9TqPEceiqrWg6wdRx+rKboNZmUo/8Frj6NNfZ9L850Vr0vznXl1YreQnJzMueedy6efzAqsTefO/dy3Nj2NxYsXRxzjXZtOD1qbvuVbm74VWJvu37+fW8fcWuG53W43r77xamBtetvtt/HUlKeAUPFXQKCoqIjXX32DaS+/wDXXXYOGRus2rek/sD8aKiYEHphwPyreG6HNmjdj29btfPXZV9w17k7vzVa/HQMqIhoiAioCgqAF5uRw2wXBZ4FktZqRFe/843K5A4JtuOWCt0zfdiHEcgH0bReqY7kAx6Xtwsufv8dXi39i9IVXcXGrKzmQk83U12ewac/WI+67WUZj7hx+LR1atUZEZOna1bz1zSfk2vMrP7gCLLKFEadfyMWnnY0gCuQWFPD6Fx+zcss/Ne5Tkkw4PNEtJbLLskhLSDnisR+PyJKEWEPv5BNpaXpM34qqqvTu3ZunnvJ+KZ900kmsX7+eN998U3fSnDBhAmPHjg28ttvtNG3atM7GV1xBMouq1NeUkSNHMmbMLbz62utYLBY++fQTrrjySsQoW1G7dOka4pO7ectmunbrhtVqDZSd3KdPpeeNiYkJ2UrUsEFDDh3S37azadMmnE4nQ3yTuh5zZs/mlVdfYcf27RQXF6MoCgkJx8Zr2KBybFICNsn7+6mdNYPGgeKdPPnXFFZme6PjOqd25pF+E2kR3w7xCBbcRa4cZm76iFmbZ1GmlJFsSWZMtzGc3eI8YuWa3aGURJkWCS3YZd+lW98jo8d/Usg1qP9Udy6FozufFivFldSX1LqYCzD8gvN4YPIUnnrkQSxmM19+9yPDzj07ZC4N/ifdoW3rEJ/c7Tt306ldW6wWSyCK9qSunXXPFXzzy2az0qJpk0D/Gelp5OR5L7T9/fjPu3nbLpwuF4P6nRwQewO+u74uP/9uPq9/NJude/ZTXFqKonhIiI8tj8yt1EvX75Mb5KXrt11QnCBEJiqLik/QBcq9dA1BNwRJU8n0C961RK6m8NnWr/lg44cUu4tJMCdwQ6fruKT1haQegZe7Q9PYULSDKX89xbaCbQgIDGo8iPEn30czOd4n+lcTzUO3tK5Rq5vENcEsHPvoLwODcOr7XFrkqnguraz+SBg5ciRjbhnDa6+/isVi4dNPPuHKK6/AZDLphn506dIlbG26ha7duoatTU/2PQtNkBac/CxibdrQuzYNFXK9gurmfzfjdDo5bchp3rkv2Cxf8877n8+dy1uvvsXOnbsoKS5BURTiE+J9CdEivXRVzSvqBnvpevv0+un6fX0RBCTZhCRX/t1WmY+uP0I3xEcXygVWPR9df4TuCeSjuzt7H4+883yt9nl6j/6Mv/EW3t3yNh+ueROA3hm9mfPEq9w1bTIbd2+pUb/xMXF8Nuk1fsmdz+QND+NW3WTGZHL3TTey9u8+PD+74gj/aJSVOaP6BwM0iW3Kwby6s1gxqP8c0/viDRs2pFOnTiFlHTt2ZM+ePbrtLRYLCQkJIY+6JE6u+O5mZfU1ZeiFF6JpGt9/9x179+5l8aJFjIxisQDeu5+1gRyW7EUQBF2jewCbzVZhX8uWLePaa6/hvPPO4+t537By1WomPPQQLlc1Fo0GxzW5ZQe47odrA0IuwIbcDVz/w3Vkl+2rcb9lip1nVzzNexveC2zjzHfm8/SKp/ly2+eoWs18mRPMqfxfz3t161KsKXRL+28lgzM4fqjuXApHdz6Nk6In7fTW14WUC2edNghN0/jlj8Xsz8rir9V/c0kUiwUNb2RuZagVfAn4BV1/NE4gJ4tvLg2OyAXvotFitZQPwNe/30tX1WDZ6rXceN+jnHvqQD5/cxp/fTWT8bffhMvlRlW1QFRu4KeqVtFL1xPkmeuzWSjJ89os+F9Due2C30tXCfXSBaJbLlTmoxv++VVku+BxV892Qc/m4TilBI0318/gtX9ep9jtFWvsLjv/W/Mqb2/4kNIa9yywo+wQNy24mW0F2wCvr+0f+//g+vk3cVCpYc+aSqeU9qTZ0nSr7znpLtLlyOSDBgbHmvo+l8abK55LK6s/Ei68cCiapvHdd9+zd+9eFi1azMirgy0WQiXdaGtTIaJleG3o68i1qS8xms9eQQi0FAJrU78YG/C19T1f/tdyRl9/C2eddxazv5zFH38tZOz4sbhcrnKbBUEs98hF0PXSNYlihJeuIHh3scmyhCSbkGWpxrYLgfcabnlQG7YL1aEeWC7UJjEWGxNvupMJyx9gY97GQPnKQyuZuHoCL9/zaI37fv62h5ix601+2PM9btV7rZJdms2z/zxN955t6N2ue436nfHNZ1zR6irduhYJLSjILcFeWjfBhQbHB8dUzB04cCCbN28OKduyZQvNmzc/RiMKJcWawsBGA3XrBjYaSIo1pU7Oa7VaGT78Ej755BNmzfqU9u3b07Nnzyof375de9avW4fTWe51t3LFilodY9u2bbHZbPz6yy+69cuWLaV58+Y89NDD9O7dm7Zt27Jn9+5aHYNBPUZT+W7ntxTpRK+7VBcfbHgPRXXqHFg5Bc5cFuxeoFv3zrq3KXBGt0qoCA3ont6Lif0eJSHIPqVjSkdmnPMeKdaGNerXwKCuqe9zaaxbZEDDAbp1AxoOINZdN5ciVouF884Ywpff/cDX38+ndYvmdO3UocJjgrXa1i2bs2nrNpxBNyHXbNgAeIVWPWE33J4m2Es3vH9Vg1bNm2KzWvj9zxWBtv6+NeCvv9fSrFED7r/tJnp17UTr5k3Zs++gr2/Nd4zfL1cNFXeDBF19L10N3G4oKYTSglDvXLcDSvMrTo6m6CRGCxdxK/LR1RF0oZLkaMeZj25tkOsuZc6Wubp1szfPJreGomsRHl5e8wqqTvRtTlkOy7NXQQ0jaBtKMbx39jt0Ti2PZI+T43iozwT6ZfQ4IX4vBice9X0uTbZUvC5NttTNuhR8a9NLhnvXpp/O0l2b+sVTPdq3a8f6desDa1MBWLVipW7bcFFXz0vXf77yFkJgbbrwt4XlIi7lwuzyZctp1rwpDzz4AL169aJN2zbs27MX8ForBMRbyoXaqnjp+n1zJalcxLXFWAKirtksB0Rds2zCHCz2BnnmGoJu3TJiyDC+2fd1QGwNxu6y80/hagZ16VvtfuNj4mjYKI1N+Zt06z/Y+h63D48elFcRC1b9jpwfx7XtrsNqKo9q753Rm7EdH+D+16fWqF+DE4djarNw7733MmDAAJ566imuuOIKli9fzvTp05k+XT8J0dEm3pzAY/0nMXnZJJYcWBIoH9hoIJP6T6p1v9xgRowcyUXDLmTjxg2MvLp6XwAjRo5k4sRHuHXMGB4YP549e/YwbdoLAFEn2epitVq5/4EHePDB8ZjNZgYMHMjhw4fZuGEDN40aRds2bdmzZw+zZ82i98kn8/333/HVV1/VyrkN6j9OtZRlB/Q9MgFWZq+kVCkmwRy6FVUAShU7iqoQK8cjCpFba/cX74/ab5lSRpGriBRr1CYVEiMncEHLixnQaCB2VyFm0UyiJZk4OdmIyjWot9T3uVQoLOGRXuOZsuoZlh4s9/sb0HAAj/R6ECG7oM7+fQ2/4FxuuPNeNm/bwSVD9aNyw/GPZfj55/LM/97ggclPcueoG9h/MIs33/8YKJ9Lo43bu/Ey+rvy15jNFu4edT2PPf8KkizT/6Tu5OTn8++2HVx32UW0btGUvQezmPPtAnp368SPCxcz7+eF3oNV0MQgPwaflOwvqdBL158ErbQQVJ1EVe4ykCuJVPbZLATvZEXyfadX1XbBL+jWte0CHFPrhSMh31mgK7gCKJpCobOQplJkpKtTEChWnJhNEvGCFGGZUOJxseZQdC+/3/cv4sKmpyN6arDVVlNpYU7kjdOmke8uweVxkmhOIF2KQaqJdYOBwVGgvs+lCZZ4Jg14jElLJ0euSwdMqhO/3GBGjhzBsAsvYuOGjVwdEpUbhi8hWDAjRo5g4sRHuXXMrTww/gH27NnLtGkv+prrrU2rJugGt7NZbYy7fxwPP/gIZrOZ/gP6c/hwDhs3bOT6m66jTds27N2zj8/nfE7P3j358fv5fDvvOwS8Aq3qm0BFX/4NweuuW7mXruBBQMAsmZBkCUmWUNyhN6zcbgWzOXTeCvfSDbZd8L8G9G0XquKjC/q2C35Bt6q2C+E2D8cpXdu259u8OVHrN9rX0611exat/yukvFvLjlx86tlYZJmFfy/n59WLQnYut8hswvai6F6+WSVZpLROqvG473jpUS4ffAETz30CQdKQRTNL/1nNJTNuo6C4sMb9GpwYHNMr25NPPpkvv/ySCRMm8Pjjj9OyZUteeuklrq6meFmXZMRk8vSgZ8hz5FHsLiJOjifFmlKnQi7AkCFDSElJYfPmzYwYUcGEqUNCQgJffT2PO++4nV49T6Jr16488shErrnm6hCvoiPlkUcmIkkSkyY9xoEDB2jYsCG3jBkDwIXDhnHP//0fd999F06nk/PPv4CHH3mEx49iAjuDY4csmkmPSY9an2JNQRZDL2qKXXmszVnD+xvew+60M7DxKVzV4SrSbY0J3kSQaEms8NwW05H9jQuCRIq1YUgkriHkGtRn6vtcqqkqUnYhj3UeR0mPeylWSoiTYol1i14hV607ceeUvieTlJjA9l27GX7+udU6Ni4ujvdfncaEJ57mrMtG0qFtG+699WbuGP8IFnOo+BgtSjdY0A13LfKLrmNvHYVoMvH0K2+Rdegwmelp3HjlJWganHv6YG6/biTjnngWl8vNOacNZPxtN/HUq297t5qqAhqa7yvStxL1+ejqeumC12LBH/qruCA8uYbbAXIF36NmmzdKNxh/crSg1yFCbbhoWxs+unBceenWFJtU8ZxmCat3A/vcRXyw8SNWZa8izZbG6C430TGpDclBkbaSIJJiS6G0SD+yt1FsoyPbvqepJAsSyebEkDIDg/pKfZ9LATJiMnh60NPkO/MochUTb44j2ZJS50IuhK1NR46otH2wXZ93bfold95xJ7169qZr1y488sjDXHPNtdis1iqnXK4oSlfTNB5+5CEkSeLxSU9w8MBBGjRswOhbbkZAYOiFQ7nznjsZ93/34XK6OOe8s3lgwgM8PeVpb6SthtcL15cgTRREr2euz0sXDUyCKcJL12+1kGixUIQVhxK580CSTSjuysXQcEHXXwaEJkeriqALFSdHOw59dI+EfLud1LhUskqydOtTLCkcKCr3prVZrMwY/yzF5nx+Pjgfh8fBkPMH8sDVtzD6mQnsyvZGdRcU20mxpEY9ryzKaBV5dFWBz37/js9+/+6I+jA4MRG0aKaoxwF2u53ExEQO5hREeBQ5HQ4O7N1FixYtalXAPF75ZOZMRo26ibz8gkr9buszDoeDXbt20ahpCyzG77VesyV/Ldf+cI1u3f9Of4V+DQcHZI4SdwEvrnqeb3bMC2kXK8fy8fmf0Ci2ZaCswHmIa38YyaHSSMP33pm9eW7wS8RI/81Ee3a7nYZpSRQWFtaKb5v/O7bZbXMQLTXzOFSdpex544paG5NB3eD/XU9oa8JqCvO+a9icAQ+/SuP0dKT/YAZ6KI/9+eLbH7h34mT+XbYQm84cJEZZkYZH6YYHIgW/9PchhrX1lwtB7crbeF8EfAQF3/Pgba/+56KIQ9HYdeAwLda+gVXxLV5ki1fENdvA7HsuW8sjdM22yNd+IdGf8MsXmSuEvQ4RaoOfh4urYYIuEF3QDRxTDUFX75z1nBzVxU2/3M7Owp0RdW2S2vDOkFdJ9d8cFUTWlxzg+h9vxKWG2liM6nITo9pfRbxf0BUlPtvzE4//OUX3vF9eOJc2lpolFD3esduLSGzUptbn0pVnQpxUsx1yxYpG758x5tJ6jv93nZV3QGdt6uTA7oO0aPnfW5vqyQ2fzPyEUaNuJi8/N7A2rXw/S3CJfmv/ufz1gZ/h5ZoW9lwNPPcLuv56VfNF6Wrl5armtTZSXAr79xzg87wfyHLlUqooOBQFp1sJROi63QputxIQdN1uBZfLe1PSrSi4gsqhXMD1J0dzBUX6asGCqp64qifqRhN0oXqCbrRzHge0adSCSXffwdP/PKlb/2yfF7jiobspLisB4J0HnmFh2Y+syfk7pF26LZ1Huk3mnHHXoXi8v5fvnn2Xx9Y+hCP85jhwfvOhZK8u44MFn9fyOzoOUFT45UCtzlv+79gWj5+GaK3Z9ZzqUNj16MITYj79jy7LTnw++vBDFi9ezM6dO/n6q6+YMOFBLr/8iuNayDU4vmga34L/63lvxF30kR1G0iWtW8gl2OGyrAghF6DEXcKLq17A6SnP0JtsyeC1M16PiNBtGt+UyQMe/88KuXWJbDZhNks1esgnkN+WwX+Pz+Z9y/LVa9i9bz8//LKQJ198hQvPOUtXyIXoCdI0hBA/3cq8dMEbCaQSlDBNC22rasFtvC80jxbipRtIihbupYvXO9dTVoJWYge30/dweD1yXb7npQWh3rnhXrrBydGg4uRo/ujcyhKjhXnpVuihCye8j26aycpLg18g3Ra62yUzJpMXBz9Hqqncrijf4+LxP6dECLkAM9a/G+qvqyqc3ngQ5zY/J6SdSTAxZcDjNDQnYlC7eD01a/aQJGMuNTh+EQSBjz78KGht+jUTJjzE5ZdfFrI2jZ4gLbKmMi9dIfy/oMRm/nahvrqi9yEIQb64VfDS9f1nkUxYJYkYScIqSSTarMTGWJF8/rj+5GiVeekCuj66/rIQH129a+yj4aN7HF7bbzuwi/wDpVzQ7MKQcgGB0R1u4aelSwNCbuO0BsSnWSKEXIDDZYdZeOgXLhpwVqBs6odv8FivySG+tgCdkjsxJOUsPv3tmzp4R/9tZHP5v6HqPmTz8XVTvyJOnHdiEEJWdhaTJj1GVlYWDRs25NLLLmPKFP07UQYGdYFNSuCStldwRrMzWJW9CkVT6JXRi2RrOjapfDuYKMDCvQuj9rNo3yJK3HYsJm+WXg1oFt+WWRfMYUfBNvYU7aV9SnuaxDUj0RLd2qG6iIJPcKm1Hg0MDI43Dufk8vxrb3E4J5eM9DSGnn0G4+++o8Jj/KKrXpSunvWCP3A22P02uA8VvNs/8W31DOo7IB4LIPpUX0EVAl663qzfAQOGgJeu5vGeXHO7Ud1ORMKWyW4HuHxRuiHlYV66FXjrhnjpQrn1gt92IdhyASq0XfALurXqo3u8ROhqKq0sKXxy7gfsLNrNjsKdtEpsRcv4ZjSQbCHWBXZPGZvy9JOwAKw5/A8tGg/2Wm0AaYLEw73HMrrrKFYf+ptYOZYe6d1Jk2zYqrzxuRJECRB8v2djRjUw+K+SnZ3NpEmTg9amlzJlyhO6bf1zVmU13hk1smXA117TAm0CPwUhcoIKsZ8XQVDL590qeOkKAlhMJpKsXpsFqy86Nxy/R64eXmuF6CJpsJduhOUCVM1HtyLLBTjhbRfufmUS40fcyot9X2Fz4SYkUaJ1XFtmzp/H+z9+Fmg3uFs/luUujtrPHwcXck2/m/l80Q8ALF6/Am2GxqRrn6JIyCfPlUfL2Fbs2ZfF5ZPuwOXWT/haHRqkZNCucSvyiwtYt/PfI+7P4MTAiMw9Qbn//gfYvmMnJaVlbNu+g2nTXiQmpmbbpA0MaorFFEtGTDPObzmcYa0up1FcqxAh14//AkkPb13ootK/3alMKQMBSt2lqJqnVpaeRa5cNuauZvraV5i7ZSbZpbtxeXQSBBnUGa+99lrAIqdv374sX748atvTTjutPNoi6HHBBRcA4Ha7GT9+PF27diU2NpZGjRpx3XXXceDAgaP1dgyOY26/6Xr+mv8NO1Yt5c8f5zFp/Dhstqptj61JlK5G9Chdf9vg8gqjdLVKonTRUN0uVJcLpaQIT4ndG6Vbao8epet2hEbpBr+uTpRu8M/Am9WJ0g3/7CqKqj2RI3Q1Dw1MFvontefqFufTP6kdDUyWCA/a6EmCvIhCpFDg0TQcihMVDZfqRlEVlFrwti1DY7e7mE92fs//Nn7ICvsODqsuosXdGdQNxnxqUF+4/4H72bFzO6VlJWzbvpVp016ocG0a/ZsiNErXHxmr2zIoGje4XXD0bqBdWJSuKJhConT9/4VH6fojdePNMVglGasvMjc4StciSxFRurYYS0iUbmyMLRClC1QapSuYTRVH6VpNkVG6FUXoQs2idI8jNE3j6U/e4LxxN/L6u3N58a2ZnD32uhAhF0BVNcQKZDJREPGEzZPxMXFesV11IYkmnB6nt0yqphVUGBlJaXzy6P94+cGHOOuiHtx642UseOFDzuo16Ij6Nage9XUuPU7CEgwMDI5nKorFUTU4venpvLbmVd36IU2HECcHb/dU2V6wkdE/3ewVc32k2dJ495z3yIxpXuNx2l2HGLdwLGtz1gbKnlv5LI8PfILBTc7EYjJuiNQ1s2fPZuzYsbz55pv07duXl156iXPOOYfNmzeTkZER0f6LL77A5SoXfXJzc+nevTuXX345AKWlpaxevZqJEyfSvXt38vPzueeeexg2bBgrV648au/L4MQiIuo0CkcSpevvXw07WZWjdD2+pDB6Ubqa93+ekmKUMjuipXyrfo2jdCsg5C0EJ0fzU5uJ0U7UCF3Aa48RPRIqQbLRPa07/+T8E1EnINA9rWvI8YdVNw8vm8yyg8tC2t7faxzDW5xT7q9bTcrQ+C17BQ8ueigQNff2+nfolNKJ/502jUzxyBa3BlXDmE8N6ivBkbMVtvP9PJIoXf/5/FG6UTuvLErXlxwtPErX40s2KptkLJTPV1ZJConSLdWJ1K0pRxSl6xd0/8OJ0RSPwsbdW6LW/7pmCW9cMIkFexbo1g9pdAbf/vxr4PVZvQYx6orhPLByLIpW/ntumdCS2ZNe5cIJoyhzRvrpVkasNYZPHnuZaZueYU/RnkC5JEo8OnIybsXNwn/+rHa/BtWjPs+lJ25krn9BdPzmdzPQIfD7NAI7TihSrZlc3TEyWVqyJZm7et6DOUhELXAc5q5f7wwRcgFyynJ4aPEEStwFNRqDpinM+vfTECEXvIkSHl0ykXxHZMI1g9pn2rRpjB49mhtvvJFOnTrx5ptvEhMTw7vvvqvbPiUlhQYNGgQeP/30EzExMYEJMzExkZ9++okrrriC9u3b069fP1599VVWrVrFnj17dPs0CENTwbAc0SU8kjYaqqYfqauFTWZV9dINbuvvuzpeupqqoqm+yFy3E9XpRHU5UV3e1zWL0i2rWpSu4tSP0vU/V5XQqNkoEbpRo3Q97upF6Yaf7zgmSZSZ2O9hYqTIG4//1/MeUoPKVcHEj3t+jhByAZ5b9QIHnPk1Hschd3GIkOtnY95GPtj0Ma4KduMY1B7GfFrfqJqA+V/CH7FWaTuq5qVbWZRucBs9L93yyNyKo3SDvXS9X3MCZpOJBEssCeY4Ei2xUaN0q+KlK0tSlb10gapF6YZT2z66JxCHCnI4uD+PgQ1OiahrEt+EvskD+X75b4Gy+0bczFN/TwkRcgF22nfy7cGvuPasS2o0jpvOu4Iv980JEXIBFFXhyb8f576Rt9SoX4PqUZ/n0hP2akryhbSXlZZW0tLgeML/+5SOcMuCQf0iRk5gVJdbeOfsGQxuMpju6d2556T/45MLPqVBTLOQttllWeRHWWSuz1mP3VWzBWihK49Zm2fp1mlo/Lrn16iZ6g1qB5fLxapVqzjzzDMDZaIocuaZZ7JsWaTgoMeMGTO46qqriI2NjdqmsLAQQRBISko60iH/J3CXFqN6FI584/WJS1WX5tEE3YpE3YqSo/nb+uv84nJwu4Bw4LNeUFXNG3TjUdCKC1Fd7oCgqxTZUYqLAqKu5vInRnNCaSGU5ENxQbmoGyzoluSHvvaLus5Cr6jrE3FrlBxNR9CF/7DtQjQ0lTa2NOYOnc0tXUfTPb07ZzU7i4/P/YDLWp5PXJCImquU8dGmmVG7+mLb1xFR0VVClFi0f0nUCLm5Wz8nTzGsi+oaYz6tf0iyCQ0oLTX+/sOpiqALlYm6wa/0Rd3g8wQsFnSsF0IEXqFc1BUEAZMghlgvKE6vH7jVYsZqsmCRZCwmMxaTOSDoJlmtJFmtpFitIdYLfkE3JsYaEHVlWSI21hYh6vqFX7/NQrWToxmCbrW499Un6CkO4OEeE+nfsD890ntwW8c7uLPVvVz35DhU1XsV1iKzKfud+3Cr+tccC/f/xtCBp9doDGf3PYVFBxfp1jk9TvLVHBqlNqhR3wZVo77PpcfT3rJqYTKZiE9I5PDhwwDYYmKqPFEY1D80TaOstJTDhw8Tn5CIyXR0Jwy36sDuzCXPmY/VZCHRkkyiOa1eR6qVKXYKnXkUuYuINyeQaE7GJiUc5VGoFDgPk+/IQ0Mj2ZJCkiUNQYj86omTk2iZ0Ir7T34At8dFnByHTU6M+IyLXcUVntGls+h3ekoodOZS6LITK8WQaEkhVk4KaaNpKiXukqj95pTlVHheg4qx2+0hry0WC5agrd0AOTk5eDweMjMzQ8ozMzP599/Kzf6XL1/O+vXrmTFjRtQ2DoeD8ePHM2LECBISjva/h+MTV1EBhzesIjbxTJJjrMbGiFoi8uZQqO1CoFRnV2hwuahXFtRQBERfv4IgoAI5xQ7EXatQi/JRZBHcHiTZjWjWuVHqdiLKFgSzJbIOvAKu7ADZGlam4y1sjiMnoRH5mgeX6ibFkkiqsxSLUhaaHA28z4NtEILLg6hr2wVFEDmklJLnzMckmEg2J5Ih2RBrwVe26ggUagp57hKK3MUkmONIkeJI0IlwNWkaqZKNK9pexnktzsMiWYgTZBJEOcRjV0XD7rJHHO8npyzHm3wvqEwVRA4pZeQ5C9DQSLEkkS7FIIV8FgK5jryo/ZYpZRFegwZVpypzKRjzaX3EZDIRnxgXWJvGxNiMtakOVY1c1m8VWRrtxlL5abSItprPVz54PFrQQRoqqqbhKHOQl5NHoZSPLEmoQuj85BV1XTh11iYxkkSppOCQFZxRkqJFQ/Vo3D5oOGd16ItLdSKLZtbv38HUH98nB29Qi+byRNouREuMBvq2C9VNjKZn8+AjNSGZ8SNvpVu79rg1N2bMfLv4N17/+iM86tGzaTiz5ynccem1yFZvxHV+QREvfPIOq7etC2nnVty88vmHPH7T/3Fbp9tRBY2S4jKemfkmWXnluzXjY2Kxuwujnk/RFK89RxCx1hjGXTGaU3r0wqk5sQgWfl+9nGmfvRNix6AJGmoF82Whq5A4m2EBWFNOhLXpCSvmAqRmeO9UHPJNmgbHP/EJiYHf69Gi2J3P7M0zeW/9e4G7bi0SWvDCadNoGtemXgq6Bc5snlg2mcUHyjNxDmp8KhP7TSTRklnBkbWHojpZn/M3ExY/SJ5vYRcvx/NIv4n0bzgIixR0d0rT2FO8jXG/j2W3fTcAsigzqssormg/glg5OdC0SXyTqOeMk+OIN4d+CRa5cnh59Yt8t/O7wITYLa0bT5/6DKnWxoF2FlN0r0GAQU0GRU1odKJjNouYqnuH3odH8x7XtGnTkPLHHnuMSZMmHenQQpgxYwZdu3alT58+uvVut5srrrgCTdN44403avXcJzSaxua5b5HQrDVlSamh6qKBLlX9hKK1q+wjFsJ+Bh8TXhdcLvgNc4tyiV84HY/bg8ftQZK9/079F4WqT8AVLRZEn4gb4qUbsF7Q8dKNgmpNZkt8BmMX3c/+4v0AWEwWbut6C5c0OoUkR2GoYOsXd/0Rs8GibnUFXai6qBt0vmJNZWHWXzz511MUu703ElOtqTw96ClOSmxDFHm7lhHIUp1M/nMKiw8sCZSe2ngQE/s+RAMx9LPI1RTeWv8ec7Z8hsfnj9suuR3TTn2O5uaEgKAbazJzcubJLNy3UPesZzU7AzFoge0AVuf9y4QlD4fM6RP7PcKpGb2I9f+hqQr9G/bjnfX6C5dOqZ2IqY7AfgIhmU1Ics2+PyVBAzxHZS4FYz6tK9IyUwE4dOiQcWO0Ao78cltP1I18Faoba+G1vv+Xb5PRgsr8gm+xVEip1Y5ZLf8utkhmnCYXDv9OlCD8XrqOKB66sizhrkDcFQWRaRfez585Cxm35K7A2qZzamfmjJ7KDR9OYk9eVqSXbkWCLnhF3Try0c1ISmPWpP/x1rbX+HDFG4H3cXa7c/hk4suMfOKeoyLo3nLhSAYO7MozG58ImdMfvf0+3pw1mx+XLwy0HdytHw/cdDMvrHuWQ5u84m2MFMOoi0bTsUVrXpjzDgDbD+ymbUK7qOdsEt+E7NzygKBYawyfP/EGcw98ytgVHwTKBzYcyBdPvMklE28NCLo5efk0iG1AVkmWbt+tE9qw59B/MwGlLEmY5JpJmaLi/Xd8IqxNT2gxVxAE0jIbkpyWgaK4DcO/4xnBa61wtCNyBTR+2/sz09dODynfZd/FqPk38ekFs0mxNjyqY6qMMsXO5GWPsfTA0pDyRfv/4Ik/n+CJgU8dlQjdw2UHuP2X2wKLSYAidxHjFz3AzPM/oU1Sl0B5njOLUQtuotBZfmfTrbp5c+2bNIhtwPkthwe2ISeaU7ik7SV8sfWLiHPeddJdJFvSA68V1cHba9/imx3fhLRbm7OWe369mzfOfIt4cxoAsXIi9/d5gOt+uDbiLmibpDa0TmpzBJ+Gwd69e0PuNupFEqWlpWEymcjOzg4pz87OpkGDim/ilJSUMGvWLB5//HHdev9kuXv3bn799VcjiqiaOPMPs2TSaGxpDRDEE2srXV1SlXsgcgVtZDH0wiV4F2OwJuQvtwT1ZRG1iHKLSQPVg7UoC03U8Ohti3R7kOQov+OaROn6yE5uzk0/jw7ZAeH0OHlpzSs0iW3I2dYG4C4pT5AWLOhCpVG6FQq6UP0oXU1le8kBJix+KKQ415HLbT/fwRcXfkZLc91/jxRqCo/9+ThLD4Ru5/tj/yKe+OsppvZ7NBCh6xZEZm/5kk/DLIO25G9h9M+38tHZM8g0eX93cYjc1eMOFh9YjBJmMdE4rjE90kOTpR1wFXL7r3dGzOkPLBrPJ+d9TNfYRviNPlrGN6Vjckc25W8K6VdAYHzv+0kWzSFRwgZVpypzKRjzaX1FEATSG6SRkp6M4vZgLE4rpqoCnxolMaQnzCBKDfI0Dd4hEHy84gvc8fufKqoS+I70aN46t+rGrbrRRBU3LsweMwhgNsmYRTMuNTQS1yLJOJXoUbrgE3mrEKV7TqsBrC9cwQ+7vgsp35C7gRfWTGXSBWO4ddaTgeRoEBSlGyzogn6Ubh0Iuk/dcj8vbnqOnfadgWpVU/lxzw/EtIphxJAL+fjnr6redw1IS0zhoiFDGL/8vpDyXEcuk1ZN5IWrX+bnVYtRPAqCIDDxxjt5YMXYkN9lqVLKK+tf5ok+TzL714bsyzlIqbOM7bv2cVJaT/7OWR1x3pva3swTr78ZeH3/VbcwZ/9MlmcvD2m35OASNODey0bx1MzXAHjl8w+5/xavH284J2f0Yf2WrThc1U+sZuDlRFibntBirh+TyXTURUCDE4MC52He/Ef/LkmBs4BNeRs5pVHDenUpVuDMjRBy/Sza/weFzvw6F3M1TWH2v7NCFn3BTF87nSkDp2I2xSIA63LWhgi5wbzxzxsMaDSIRJ9Ia5XiuaPHXbRIaMl7698l35lP47jG3H3S3fRpMCDEwqHAmcsX2yJFX4CtBVs5XHYoIOZqQIuEtrx/7gc8s/xpNuRuwGqyclGbi7mpyygSzOm6/RhUjYSEhEonKbPZTK9evfjll1+4+OKLAVBVlV9++YU777yzwmM/++wznE4n11wTmUjPP1lu3bqV3377jdTU1Bq/j/8ymkehNHvfsR7GcUUJoQJrRejpqmWAOUjQdRC0I9J/nAj+pYbbV2cVQQE8Jl8Ukb9v30/BpCGYwO32IAcJt4pbrX6ULkSP0nWXgWyD2HT+ylkb1crmlXVv0XPgVFIdedGj1aJF6frrqF1BtxiNN8Nu5PpRNIW5W7/g3i6jkKLMc7VFnrskQsj188f+ReQpJSTI8QDkKCV8uOkj3bYHSw6yp/gAmYmt8IuuLaypzDz3I55d+TyrDq1CFmUuaHUBt3YdTQOTLSC4ugUTszbPiT6nr3uHp/s9Qqzvt5cumnnl9Bd5d+MHfLntK8qUMjqldGL8yffTMb6pIeQeAVWZS8GYT+s7xtq06niq6Gce7fsptFzG4xNp5ZB6yfdcQcKEW3VjwoSiujFhRlR9frr+ry6VcnP6CqYAi8mMxWPGqVQg4CoK1iiRunpRuud1OoWHl90X0Ra8wUYZiQkk2uIoxBt56hd1o9ouQKioW5mgC9WyXbCZrTRokMLOvTt1m3y76xsmnfFknYu51519CV/umatbp6gKfxz6jXNPPo1v//yZwV37sapgRYQo7+ez3bMZNfRKJr//EgDj33qaWY++SrvEdny75xtK3CW0SWrDdW1u4PtfF7NuZ/l2/IHdezF3+fu6/S49uIRpJ18ZEHP/3raeJUv/4bFTHufDbe+xs3An8XI8Q5sPo5OlO1dNvqvmH4jBCbE2/U+IuQYGNcWtuiv0St2ct5lBjc+gPiWmLXIVAd7tNsPbDifZkky+M58vtn7BxtyNFLuL6nwMTo+Df/P/xSbZOK/leQxoNAABgdWHVjNv2zy2F27D4XF4xVwB/s3dFLWv7NJs3GGTaZycypXtruWcFufhUd3IJouuh3GpUhLVkB68i9tWiZ0Cr2XRSofk7rwy5A0cSimiIJJgScYkHJ3NtAYwduxYrr/+enr37k2fPn146aWXKCkp4cYbbwTguuuuo3HjxkydOjXkuBkzZnDxxRdHTIZut5vLLruM1atX8+233+LxeMjK8m5XSklJwWyuQYIfA4Nq4PSteSoTdYPXWSHlqhAi6Do9oTlLXGr5+spf51C9gq7DI2A1aTg84TsrBcojwipYiVY1SlfW+Y4M9s01WVmXH91bbLd9N4ov4lvzOBFMFm+CtIqidEHXesGfFO1IfXTLVDfbCreTYE5gWOthnJRxEhoai/cv5sedP7Ip/1+cmoJUx5ul7UFz+iVtLyHJkkSeI48vt33JxtyNFLmKwSfmOjyuCr3fd9p3cXJSm0DErRmNTrENeHnQVIo9LkRBIFmyYdW0EMHVobrZlBf997e9cDtlHhexJv/fgUamKDOu6y3c2PFaPJqHGJPZiMg9yhjzqcGJgMn3XV6ZqGsSvHNIuKgbXm4SyoVbf31wnUdTkEUZt+pGEqu+myM8ItdsknHpJOKsaZSuX9gVBA2njn2Dn+yyLFJiEil1O3ArCmZZChV0vYPz/oxmvVCRoOt9s1UWdFMTksku80Y19mnQh6GthhIrx5JVksXcLXPZad+JcBTuazRv2Jh59kUkmBO4qM1F9EjvETKn7yndTfPMRt62mY3ZU7oral+77Ls4s+HQwOsyp4PhE29haN8zGHvOg1jMFnYd3Mf4aS+wdX+oiO3UKo6kdRH6u33tq4/4eeVSbh9+Dc27NsbhdPLx/K+YuPyNQBI2g7qlPs+lhphrYFABkiiTak0l15GrW98uuW29EnIB4s3xjOs9Dk3TeGfdO2SVZNEwtiFXd7yac5qfQ5wcV+djsJisnNygD2O6jeGLrV/w4B8PoqIysNFAnh38LL/v+QOLybvI1zTokNohal8ZMRnIehdTgkiSJSPwUu/XECPFIIlSxBZSPw1jIy0yNCBWTopIkGZwdLjyyis5fPgwjz76KFlZWfTo0YMff/wxYDy/Z88eRDFUFdu8eTOLFy9mwYIFEf3t37+fefPmAdCjR4+Qut9++43TTjutTt6HgUE4VRF1w9dZgXJfVJBf1PWvsfyirn9NZRZDBV0vfrHRe2z5mi243FO3UbrFh+ic3Br9mBhoGt8USXF6BVzfiKIKuhDdeqGqtgtVEHRtgszgxqdyWtPT+XjTx8zcNBOTaOKMpmfw0ukvsfbQWiyiXC4s1xHx5rjAnP72urdD5vSzm59NnFzuP28xmYmRYihVSnX7apHQLFJM1VQSBROJku/3pXNRYxVl2iW3Y83hNbr9tkpoic0UufgwayoNTEFCvyHkHlWM+dTgRKI6oq5elG54uV+49deBV/D1i73+7I9+UVdR3QGRV3ddUgmVRemCV8TVi9KVZAnFJ+yKgknXysFPZkwmxe4SzDp+ov4jonrpQrmoW0uCbq49nwa2BkwZOIVd9l28uOpF8p35tExsyQ1dbmB7/nY0te4dpPdmH2BQu0Gc0fwMPt70MR9v/DhkTl++fzkLD633tj18kLNtPaP21TyhOXuyQr1qVVVl3rKfmLfspwrHYRF0ksMGYdZx49+8bzv3vDK5wuMM6o76PJcaYq6BQQUkWdK4pdsYpi5/KqIu0ZJIp9Qu9cpiASBeTiC3LJf3N7wfKDtYcpDnVz7PTV1uIt4cX+djEASJC1sN5YYfbwgRwhftX8TqQ6v5+LyPsZi8C1AN6JrWnQRzgm5m7THdbiXJkl6jzznRksrFrS9m7tZICaFVYivSbBk6Rxkca+68886oW1cWLlwYUda+ffuo2Y9btGhR5czIBgZHA6datShd0Bd1w6N0IVTU9Qu6/vLgKF0v5cd7hd3IKF3F5UEKP/mRROlmb6Jf69FRhcY7u95MauF+8DjBJ+L6RxSxxAsXdSvw0q0wSrcSQTdOELiiw5Vc8/01lCllgHcr5vzd81l9aDUzzpmBVMdCLkCSOZ6c0hw+2FieKMU/p4/qMorkIN/edCmWazpezfR1b0f0kxmTSfO4JtTEo1PWPIxofyWfb/1cVyS5pdtoYhFr1LdB3WLMpwYnGiZROupRutWlJlG6VsmFQ4ls47di8PPH3r+5sNUwPt8WubZpFt+MojInbrzt/VG5siRFROkC0a0XHGEXF0fgo1vmctAitRlvb5zOz3t+DpTvLNzJY0sf49F+j3J4d0GFfdQGs375lgUXfsj186+LmNP/Pvw3bwx5k/ErXgFg4dplPHTDbcwWZ+nu8Lys+RXc++zTNRrHn+vW0DujNysPrYyo69+gP4v+XlGjfg3qlvo6l9YsPbmBwX8GkTObn82NnW9CCvJibRLfhBlnv0uKtWLj62NBiVLEx5s+1q37eOPHR8VmQUBj4d7fdSOaS9wlfLblMzxBFzkp1gbMOPtdmsQ1CZRJosTNXW7m9KZnBJKfVRdZtDGm+22c1+I8hKA+OqV04pUhr5Lg88s1MDAwOJo4qxig6NJZP7lUIRCpG+jPE1wfWe5QyyN1/aKuwxP8KC9zu71RuorLg8ftwVnqxlHqRnF7UNweVJcb1e1EdTpRiuwoxUWoLheq24nmcoLb9ygthJJ8KC4Al5MGG+czY/A0GsSWz5tm0cydXW+hvzkd7AdAcXgFXY8vSldxovm3k/qidvG4ykVb/09VCY2QDdu6qqlKQNgNweP2PnQoEUzM3DQzsOgL5nDZYf7Y9weqWPfbyksVBzP/nalb99HGjygJGp+sqYxodxmXtb0UUSi/xG+d1Jp3znqLTMmm102VaGJJ4pXTXybRkhgoi5VjmTrwSVrFNMAQcg0MDI4WJlEKROpW2C7K/v3wcpMgBYRdk2AK1AeX+0Vdv/WCHPSz/GHGbPI9fM/j5Djfc29yNIvJTIIljkRLPFaTBYske6N2TWaskoxVkkiyWkmyWkmxWomRJKyShEWWkGSJ3/ctZ0Cj0zin+bkha5v2ye2Z0HsiLy2aiVk2IcsSsiwFInRlyfvTHFQmBN+0DX5uDfvcLKZQf6dgKsn0apbMaKIWIuQG89qa1+jdpXOFfdQGg7v3jTqnHyo9xMLdCzmptXccqqry1Aev83jvKaRay7fIW01Wbut0BytWb2TPof01Gsczn77JiKbX0Tujd0h538y+XNroKqZ9NqNG/Rr8NzEicw0MKiFOTmFU1zFc1u4y8hx5WE1WkiwpJFoiPVrrA3lleVFtBVyqi3xHPpkxLep0DA5PKQv3/QZ4s2IPbDwQEZHlWcvZUbiDRfsXcVOX0cSb/ROkQPOEdrx37gfkO/JxehykWFNJtKQgi9EXn6rmxq26sJgsRPs6SzCn82CfidzW4w4KnQXEyrEkWlKIk5Nr+V2fuMiSCVO0iLxKED1Ggg8DAz2qEqEL1fPSBe96K9x2wV+uZ72gZ7tg9SVHi4rbgyS7Ec2hEUuqy4UYHKUbhHhoK508Tj7uOYE8sxW3qpAix5GatxvLrqXl/rqusnKLhmhRutGsFyqI0oUKrBd0onQLPKX8eeDPqB/BH/v+4KIW55EUtUXtkOcsQFG90WGDmwwmMzaTgyUH+WPfH9453VlA4yCRNk2QGNftNm7sdD35zgJsko0UczxpJkt0mwNRokR1YxJErAi67axA/5TOzD3/E3KdBWiaRqo1mTSTDbleXg3VP0yyCZNcs5vTJuMzNjCIoDajdL1lUo2jdKtqvxAtShd8VgyVeekqCs+sfI8LWw7mtSGXUKaUYTFZ2JWfxYPz/0eB2x4QbqOOtaIo3ZokR6sgQrdbi/ZsKdgSdSy5jlw8Yt3vcjm5Uze+y/4MgDZJbeid2RuP5mHJ/iUcKDnAX4f/pHeHrizfvAaAX/9eSp69kPtH3k1KSjwezYPmEnl73izmLdW3UkiMTeCiAWeRkpDIP9v/ZeE/yyIiMIvLSrh04m2MH3ErI/tch1NzYhEsLP1nNZe+eRslDn2bJINQJLnma1NBOXEsnwwx18CgCsiijTRbE9Js5ZGj9fWy2qzjW1ed+trAJEikWdOY1H8SHs3Dz3t+RlVVLmt3Gam2VOZunlvuSeVDwyu8JpjTK+3f5Sklq3Qfn2yayW77brqld+OStpeSbm2MqLNQt0pxWKU4MmOa1dZbNDAwMDhiqpMcDSr30oXQBGl6ydEg3HohfDarODlaZV66fvS9dMtIz91DutniFW9lK8hVjBaVLPrJ0SA0QVoFydGgAusF/+LaJ+qaBNFrSxQln1iCOQGzKEMFSTZrA7No5vSmp3N5u8tZsHsBm3I30SKxBa+c/gqf/PuJ7pweJwjEybE0C/LT1RVyBZEsTxmL9y3ku50/YJNsXNNhBO0TW5GqI0pIqDQwWWkQE7wrqb5eDRkYGPwXqIqgCzX30g0XdIGQBGmKjojrFXZ1fMRNZlw6Qq1FMuM0uXDoJDbzC7jBXroOFL7a8StzNy/A7fPSdbsVFLcHWccrNxi/7UJ4WSBBWlWSo0GkqOu/2AgTdQ/b80gMsgPSw3wUdrkUl5bQKK4R9/a6l8Olh/l93+9IosTobqMB+PPAnxwuDRVS12zfwNVP3FOl/h8YMYZBJ/fml6z55Lt2c27nk3nk+ju45+UnWL8rNIFocVkJE999oXbemMF/GkPMNTA4wUiyJNMothEHSg5E1DWJb0KSOanOxyCJFsZ0v5Wn/nqSldnlnkB/Zf1Fu+R2PHXKU8TKiTVaAnpUF8sOLmL8Hw+g+XpYfWg1n2z6hHfOmUGH5O7G0tLAwOC4orZF3apG6Ubz0g1PmlZnXrpuB8iO8qjcKlBplG605GhQrSjdBqYYRnQYwaRlk3THcWX7K4lRnIBafp46IM2azNnNz+auX+8KiAqrD61m3rZ5TDllCqmWmu8yOaiUcdNPt7CveF+gbNH+RZzf8jzGn3QPKTXwijQwMDA42lQnORpUz0tXLzlaTb10w/FbL4QnMwv20q0wSldWcLqVQHK0inCFCb1V8tKthSjd3Yf208DWMKpnfu/M3uzeXzPLguow65fvmPXES0xcOpGtBVsD5UsPLKVfw37c3f0eBr86okZ933zBVWS2j2PCivsDZauyV/G1+UteHjuVKyfeRU5h3hG/BwODcAzPXAODE4x0W2OeH/w88XJoorMEcwLPnfo8abbGdT4GAdht3x0i5PrZkr+FlVkrqWk0T6Erh0eXTAwIuX5cqouHFz9EoSunRv0aGBgYHGucatX8dPW8dIFKvXT966vqeOl6H+W2C34vXcWt6nrpKsX2ir103Y4QL13cDt+jDEryvDYL/tcu36OqXrr+n9Xw0tXF4wZXMf0b9mVwk8ER1SM6jKBlfBNALT9PHaGoCs+seCZCfFA0hedWPBfVVqky3ILIp5vnhAi5fr7f+QO7Sw6ik37OwMDAoN5SF166wXVV9dKNfER66ZpFc7W9dP1+unpeurIsERNjRZYlpGDPXLOMLEmYZVOEl65ZlpAlyVev46VrNtXMS9cshnjpTpvzAc+d+nyEAJ4Zk8mDJ0/g7jen6P4+apPkuESWHlgaIuT6+fPgn+wr2kecLaba/QqCwFVnDeX9ze9G1Nlddj7a/h5jLhxZozEbGFSGEZlrYHCCoQKtkzrwyQWfsCp7FZvzNtMhtQM9M3qREdOEo+ES4/KUMWfz7Kj1c7fO5azm5xJnTql23/uL9+PwOHTr9hbtxe4sMBKbGRgYHNdUxU+3oijdaF663vqKo3StJi0k+MaL33ohuo+u4vYgHXGUrrXysiAionT96HnpgjeCNixKN6rtAtDI4+HhPuO5qctN/Lz7Z8wmM2c1P4t0SyIZ4fEQwZHAtUiuM58CZ4F+nSOXPFcBmbaMavebr5Tx1favo9bP3folPXrfj6DqR4UZGBgY1Fdq00s3OBo3vD7YS9dvu1BVwiNyq+Kla5VcOJTINsFRutXB7S6Pyq00She8Fx41iNKdsWAW8TExfDLsU5Zn/cXe4r30SO9By7hW3PjMg2w/uDvS3qGWGTboDObtmBe1/ptd8zj35FN5+/tZ1eq3fZPWbLFvjggy8rPy0Eou7XFVtfo0MKgqhphrYHBCIpER05wLWjbnwtagqhwVEdePhoaiRb+g8KieqJNeZXjUiif5mvZrYGBgUJ+ojvVCTbx0vfXl5eHJ0fyibnCCNO/rikVd0PfSFX0J0fS9dK3lSc8C5WXR/XQlqzdK14cGkV66fkuFiqwXqmC70NCj0jCmET27jfGeyV1BcpI6EHTDk6dEnDJaUrPK+iVSxAhG0RQjMNfAwOC4pTrWC9X10g2uD0+OFu6lW9XEaOFYTGYsnuheuuAVcYO9dP1IsoTsVgJ+ujXB5Ts24KULkdYL1fDSfemrd3npq3e54pShNE9vxNQv32PJpsgdnCHnqEVEUUDxRP88FE3BZKr+/C2KYsjfhR6VzeMGBjXFEHMNDE5gVLxC7tHGYopheJtLWJG1Qrd+aOsLiZdr5vPXNL4pkijpbi3NiMkgwZxYo34NoiMfQcZQ0VOz4wwMDLwcyyhdL+XHe9du3ihdh8cTCNCpGy/dKvro+kTcakXpVjs5ms/iwVSFBXktC7op1uSoXoPxcjwplqQa9Zsk2Tir+Vl8vvVz3fqLWg9DqEP7iP8ikiQiyTVTyCVDDDAwqBFHGqUbLuh624UmSAv30j3mUbpK5PuVZBOKzy7J5XJHJEELj9L1U9tRunMWf6v7vkLb1r6g+9PyJQw6dzCfFs3UrT8l7VSenP12tfvdsm8H3dN6RK3vnNqZf3ftqHa/BhUjyxKmSpL9RUNUTpz51PDMNTAwqHU0oHfmybRLbhdR1yi2ERe0GgpCzb5+ZFFmTLcxEeWiIDK211ispur7HRkYGBjUZ6riowv6ax+XKlTqpRteXhUvXX+Z2+3B7fZU6qWrOp0199J1lXnrKvPSBX0v3WA/XQj10g2u96Gpir6fbpTFdQS1KIKmm2w80vch3bpH+j1EulSzOc8iiFzV4UqSdRKo9czoSeO4xlDDqF8DAwOD+sSReOkGe+WWl5V75up56fq9ciHUS9f/syIv3Tg5LsJL1yKZSbTEk2iJqxUv3dhYW8BL1++nG+ylCwQEXV0vXai5l25VCb9BfITMX/k7fZL70yC2QURdh+QOWBxxbNlXfdFV8SjEmmO4uM3FEXVm0cw9Pe9hf3ZWTYZsYFApRmSugYFBnZBoyeDVIa/zy56fmbv1Mzyqh6GtLmRo6wtJsTSosRnCobJDlLhLeGbQM3y+9XMOFB+gbXJbLml7CfO2z6NTamcypbhafS8GBgYGx5qqROiCvu0CRFovBEfjhtsu+MuDrRf0bBe8+L/NyxOk6UfpuhHNoZFKqsuFWFmULkRG6lbXSzfYeqGiKF1/ub8fPesFv6BbWZRusE/vESCjcVqDPsw870PeWDudXYW7aJ3Yilu6jaZVTAOkGgquOUopL6ycxtRBU/l93+8s2b8Em2Tj/JbnkxGTwdfbvubuztdHCN0GBgYGxyu16aXrLZMionSDyyuyV6iq/YJf1HWF+ZdbJBmnUjdeuhFjrchLN9h2ASqP0vULuq4qzF21GKGraRo3PnU/7054ltWFy1mcvQhJlDij4Vk0FVty3VPjatRvk7SGbMjZSJukNjza71G+3v41uY5cuqV1Y1jrYcxYO4MLeg/n5S/fq5X3YWAQTI2uMB0OB2vXruXQoUOoYXu4hw0bVisDMzAwqK+oFDgPY3fZkUSJBDmJeHOyrjibaMng0rYjOLv5uWhoXmsFQTwiV9sCZwGf/vsp13S8hjt73ImiKQgIzNs+j593/8zorrccQe8GBkcPYy41qC7V8dGF6KJuRV66/nVWpKgbabvgJThpWuSiS3GrSLK3Uz0vXT8Veumag0TecC/daN66kgXN4yz30g3GL+qGC7pQDesF9xHaLgjYNQ957hKcqpN4KZZ0ORZZR5yNF0x0i23Cc/0n4VDd2ESZWEQifxdVR9FU1h5eyxtr3mBM9zGc1fwsTIKJXfZdvLT6Jbqld0PF2MJncHxgzKcGVaUqgi7UzEs3XNCFSOsFpYYeusFYJDNORf9Gm99mQc9LF7zb06vipeu3XdDDL+pG2C5ApKhbiZdupaJuFQTds3qdypiLr8JilTEJEsvX/8MrX3xArj0/pN2+nIOcc991nNXzVM48+VwUxcNHM39g+eY1FY+hApLjE8l15jBn0yxGdR3F2F5j8WgeVE3l038/5a/sv7gw89Ia929gUBHVFnN//PFHrrvuOnJyciLqBEHA46mbDIQGBgbHHqdSworsZTz115PkOnIBaJfcjqdOmUrT+NboLfs0BOLMKbU2hiZxTXh+8PN8te0r3pv/HqqmYhbNXNz2YqacMoU4c3ytncvAoK4w5lKDI+FIRd2qRun668K9dMvFWz/6Ubq6HC0v3bAR6SZICxZ04ShG6Qrs95QxadkT/Jn1JwAxUgy3dhvDxS3PJVnQuzzXiEMgTjQHXh8JMaKZMd3GEGeOY+KSiYE5vX1yex7t/yguxYlYScJRA4P6gDGfGlSX6iRHg8qjdIOFW726mkbp6kXkVhal66xgN4VFlkKidKsi7IZ76VYpShf0E6RV4KVbIeGCcRCP3fB/ZLaJ44UtUylyFwHQI70Hnz3xGtc9MY59OQdD2muaxoJVv7Ng1e8Vn7OK7M7eT8ekTjw3+DneXf8uL61+CYBYOZZrOl5DnwZ9yMsurJVzGRiEU+0b7nfddReXX345Bw8eRFXVkIcxWRoYnLgIwI7CLYz7fWxg0QewJX8LN/54A7mOo+MHZJNj+GDDB/yy55dAFm+X6mLO5jmsz1lPvGwkQDOo/xhzqUFtcCReukClXrr+9VW4l67DI0T10vU+vF66ZSWuSr10lWJ7zb10S/K83rmVeekqTn0vXf9PPS/d4DY+dH10odpeuodUJ2N+uT0g5AKUKqVMW/0i8/f+jlqLCdSikSDKdE7rzBN/PhEyp2/O38yDfzxIm+S2oBOVZmBQ3zDmU4OaUhUfXdD30tUrNwXdiNPz0gV0vXQjH5FeumbRTJwcG+Klm2CJI9ESj9VkqdRLN8VqjfDS9T+kYM9cn5euWTZFeOmaZSnIZ1fHS9dsqtxLVw+zWDU/3bA70z3bdKVF+wxe3/BqQMgFWHN4DU+te5wX73qk8j6PEHtpERmx6UxdPpXlWcsD5SXuEt5a+xYe1cOfa9fU+TgM/ptUW8zNzs5m7NixZGZm1sV4DAwM6imlSiEv++42hlPkLuKPfb8j1ixJc7UochWxMnulbt3cLXOxuwrqfhAGBkeIMZca1BZOtWqirssTPUFaSH8e/QRpweXBydH84q3/UV7ufR6cHM0v6ipuD45SF64SR0iCNNXlDAi6nhI7WokdSu3loq6rrFzQLS0IFXH9z91Bgm6YqKt5fKKuT+CNSI5WhQRpFSZHq4qoq3rYU7yf3fbdutVvrH2Tw+6Syvs5QgpVF6/9/ZpuXZG7iD8PLD1iv18Dg6OBMZ8aHAnVSY5WlQRpwcKtvz64DkIFXUlXzPUKunKIkBsXJO7KXmE3KEFasKCbYI4j0RJLktUWEHWtkhRIjpZosxIbYw0RdSXZFBB1w5Oj+UVdQDdBGngF3RBR14/VFCrqRkuOBlUXdH393zp8JJ9s/0i3WVZJFh6rk0apkQnPapPkuCT22PdGndNnrJ/BqT171+kYDP67VPsq7bLLLmPhwoW0bt26LsZjYHBC4FGdFLkLERBIMCcj6G6Z9CJqHqSyw6BpeCxJeCQd778aIADF7gLcqhOzaCFWTqpwU2axK5cyTymiYCLd2ohwbcDpcbA5f3PU41dmreCSNldS1w57WSUHo9a5VTcl7mLSdD7CMsWO0+NAEiTizSlHuEH1v4UkiwHPy+oieAzHRT2MudSgtqlOgjQIXWuF2y5ApJeutz7UdgEqs16ogu0CoRejqtOJaLEgmi2Q3prCHkNRYpOx2bOJ37bIG6Xr99INxpIAKW0RrImgutGKs8Hp29ooWb2Crg+NKLYLEPpcVUCUcUpWCvEgCCLJgoTkcUX10nWJMtlKKRoayVIM8eHCr2hic/6WqJ9FniOPMo8TTFGSwdUSDlXh3/x/o9b/lbWCK1qeHzGjuwWRfKUMDUiSrFg0YzatKl6xpGZ3vSXjc46KMZ8a1Aa1Yb1QkZeu/5hw24VwL92qJkbTwyKZcZpcODyhPvFm0Uz/Bl1oEtcQp8fNiqx1rDq8KaSN33JBEkyc27If5zXqBMDXO//hh+3LgDDveR/BtgtAhV66XdJbc8PpF5GekMLm/Tt555fPOXT4UGiHPkG3d7POPHHjvWSmpFJQVMTUT97ipzWLgtqZyExN4+C+6OvCHcU7aJHZhAO5dbd7tGl6Q3YW7Yhan+vIJS4uNqK8ZYNmjBp6Bc0yG7Lr4H5mfDeH3dn76mycJxqS5I0wrwmC+8SZT6v9Cbz66qtcfvnlLFq0iK5duyLLoV82d999d60NzsDgeEMADpft4/0N77Ng93wkQeLiNhdzefsrSbZE3hm0lB5AWP0R4ur3wO3A1P4CtEHjcCa2QDsCUbTUbWdT3lpe/ftVdtl30SKxBXf1uJuOqV2wSQkhbR1KEXuLd/Lq36+yLmcdabY0ru54DYObDCYpaMwmQaZhXEO2F2zXPWerpNYIgkhdrzdSrNH9dwUEbGFiuFMpYad9K/9b/TL/5v9Lg9gG3NJ1DL0b9CVOTq7bwRoYRMGYSw3qgqp66YJ3faXnpRsu6EJkgrTw5Gh+QddL8CRQXubweALBOYrLgxR+crcHSXYjmr3/FoqHPcxfsSJvb59Ldmk2nZI7cvfA62i7fSW2nUtDj23UAyE+AxZPQzj8LyQ1g4H3QGp7tNywm5A+ETfgpRv+wfi9dAHMcewzSby36X0W7PnZO6e3HsaVbS+lgaqB5in30hVM7BM0Pv93Jl9vn4fT42RQ40GM7jaa5nICkuqL2tVUmsY1CT9rAJtkw1yVxGpHiCSINIxtyI5C/UVom6TWiMETuiByUClj1pY5fL39GxRN4dzm53BDp+toIscZlgwGxwxjPjWoTY4kQZqeoAtEJEiLlhwtnKp66fqtF8K9dAGaxzenR2oPPtr4EW/+/ScxcgwXt7mYB3rdzP/WfIRDcuKQFZxuhYyYFKaddA0Z6+YQM38sAH07DuPu4RO5bsFr7MkvF06jJUjT9dIFXrnyAWKTRL7aNZfs3Gw6JHfgvf97nFkL5/PRT1+G9PHR2Odp3iyDt9a+ybZ122gc15h7rr+JB0eM4Yzx1wTalTrKSDAnYHfZI8YBkGnN5FBBpJd2bXK4MI9MW/ToX5tkQwnzJX74mjvp3r0Nc3fNYd6eXbRMbMkL949n+ar1PPvpW3U6XoMTC0HTqie9zJgxg1tvvRWr1UpqaiqCUH4ZLAgCO3ZEvzNR29jtdhITEzmYU0BCQkLlBxgY1DE5Zfu55vuR5DtDs2c2i2/G22fPIMlSvgXMUnoQ8ZPLEbLXh3ZiSUAdvRBHYqsajcGjupi3fS5Pr3g6ou7hvo9wQcuLMfkSqIjA6kPLuO2X2wL+s37Oa3EeY3vfR4I5HfAueH/d+z0PLnowol+TYGLuhXNpFFf3UREFzmxGLxjFnqI9EXWnNTmNyQOexCp5k6AJaCw7sJB7Ft4T0faGzjdwY+cxWKXIu6XHK3a7nYZpSRQWFtbKd6L/O7bvEz8gWWv2OSmOEv6aeF6tjelEoT7NpVD+u57Q1oTVdBT8UgzqnKoIuhAp6AbKxdDLw/BdkcG7If11Vl+Z1aT5fhL2Uws8l2UTktmEyZcMzbsDwLvN033ObbyTbmLm9i9Czikg8Er/xxm05mco3OstbNwDIb05wnf3RrwHbdA4tMY9oeiAb9A2b5QueEVdyRv9KvijYKWgaFiTmf22REbOv0l3Tp9xxmtkBvlx7pMk/m/hWLaERd3Gy/F8dP5HtDaV32jcq7q56vuRugvQaztey/91vRlzFcSEI0Iw8V3WMh5cNCGiyj+ntzGXf2dnqU5uXHAL+4pDI4dSranMPO8DGptqZ1dRfcBuLyKxUZtan0t3XpNAvLlm369FLo2WH9uNuVSH+jSf+n/XWXkHjN/TcU5VBF2IjNCtqNwv6obX+8vdvpt+iu+nW+en2yfYujyugHjrf+7yuHGp5UnQNBV6p/Vl9IJbcHgcIWPpntad67uM4t2NcyhVFByKwus9R9P685vBvj904AmN2HLRdM774nHvOBQFl9s7frdbCUTlupXy9+cv01we7jljJPGZLr7aETmnP3ryZJ6a+T5/79oITg93X3ADgwd24bFlj0V8fqO7jkbOSeT2V711IwcPY8CQDry59o2ItjbJxvTT3uGkURdE1NU2K6fP4+4ld0ad0/estPPavA8AGH7KuZx+dg+mb3ozou0dne/i22+W8N1fv9b5mI8Kigq/HKjVeSuwNp1+KVJMzW58K6Vu/rrl8xNiPq126N/DDz/M5MmTKSwsZNeuXezcuTPwONqLTwOD+oSquZmzZXbEog9gT9Ee/jr4ZyACSACE/asihVwApx1hyYuYPGU1GkeBKyeQSTOcaateoNBVnugkx3GQp5c/HSHkAvyw6wfyg5KiuNQyLCYLV7a/ElEo/+qwSTYmDZiE3WmPjHCqA1RN5aG+D9EkPjSyqVtaN67qcBWOoM8t33mIKX9N0e3ngw0fYA/6LAwMjibGXGpQ11THS1e3XBVC/HSjeen66yDUS9f7k7Cf5f660bx0FUWlsMsQPtkeGqkDoKHxxD+vcrjTWQEvXaH1QIRfH9d9D8KSlxHiGkJpvr6XrhLFSxdwS1Zmbf0i+pyevYpAXK9kZV3OhgghF7z+szPWzaA4KLpKURWePOVJUq2pIW0HNR5E34Z9KVJqNv9XhzJNxWqyckX7K0Lm9BgphkkDJlHkLAR/uSixaP/SCCEXvFtIP9/6FUqUBEEGBnWNMZ8a1AW17aXrLavcS1f2+eiGe+mW14d66QYnSPN76cbLcVhMZtomteeddTMihFyAf3L+QdXcZMQkEyNJ9ErvQMbO3yOFXAD7ATJ3/c6glj1DEqQBusnRoNxLV7RIDO0xKELIBe+c/tbG17n7Al+0rcXE6PMv44VVL+h+1u+tf4/Te/YLvO7QohWdUjtyZrMzQ9olWhKZOmgqxc5i4mx1G7Rjls2UuR1R5/R+DfvRtnnzQNlNQy/ngy3v6fb17uZ3uOXiEXU6XoMTi2rbLLhcLq688kpE0fBBNDAIpthVyC+7fwYg3ZbOSRkn4dE8rMhagd1l57sd3zKk6dnIJhsiHsR1s6P2Jfz7LabBD+GJjYx0EQVvxKmqCbq+r/mOPN1JG6BMKSPPkUuKtSEApe5idtp3AtAuuR2tElthd9lZnrUcRVVYfWg1LRM6oAIl7iIeXfIo57Y8l1eHvEp2aTYWkwWrZOWTTZ+QYk3hyVN6oGl1K+nusu9k0tLHuLX7rSRaEslz5JFhy2B30W7G/T6O98/5gCRLBuBNlna47LBuPxoaOwp3kBHTrE7Ha2CghzGXGhwtquKlq+ejG6jTsV4It13wl4eiZ7sQXu7B7fYgy+UnFhNT2VayDw0Nk2Di5AYnk2RJYo99DxvzNpJdmo3dGkOay+nrSYOySMEV8Hre2veDogC+edFdBrLN67EbmwaqBxyFoKkh1guFVvhl72/6/QLf7PyBMzN6EeMuw22JZ/7u+QDEyrH0bdAXWZT5J+cfskqyWLR/EfndbiFOE0C28VfWX3y6eTbjeo9DFmXsLjsNYhuw7vA67l14L18MnUOq5Puc6igJmd3j4JElEzmv5Xm6c3qqNZXu/R5B9LgoVt18v+vHqH0t2PMTI9tdSppv14+BwdHEmE8N6pIjsV3QK6/IS9f7PNR6QTkCD91kcwpL9i8BoEl8EzqndsbpcfLXwb8oU8pYsn8J7ZJb4lLLGJTSivjF+kkxARK3LWBI1xtYfSjUa9cmW+nbpAc2yczKPRvZlR8qBjdMSGN/aXQv2KySLNKSEwOvnVpZIMK1W1o3Gsc35nDpYVZlr0LRFLLLskiKS6Cg2E6P1h25d+G9XN/5el474zWySrKIM8eBBm+seYOTU/vQpUV7/ty0utqfXVVp26glq3NW88vBBSFzemZMJutz1nPPwnuY3HVqoL1gVnF69P2Hy5SyurbLNzjBqPYV4vXXX8/s2bN56KGHjvjkkyZNYvLkySFl7du3599/oydkMDCor4iCSIIlgUe7PIrZZGbx/sWYTWYe6fcIB4oPsC5nHWLgLqyAZomPHslqji2PiPFhchcjF+1DWDMToXAPWttzUFuciiuuSchSWe/ucDDBFwQm0UST+Cbc3/t+dtl3sT5nPc0TmnN1x6v5fsf3xEgxgbYCAlbJymdbPuOzLZ+RaEnE7XFTqpQCcGnbSxGOQmyu1WQluzSbycsmYxbNxMqxFLmKUPwXRkELX0ms+LOw1lKyOQOD6mLMpQZHk6p66er56EJkgrRgz9zg5Gj+unAvXX9yNKuJoJ/6CdKcRaVYTVaGNBvCZW0vY+mBpWSVZHFG8zO4rcdtvLjqRUyIqG4nuJ1Ilc07kgVcJaD6hEZzHEKjnpC9CWHtF2hx6dD1CjRNhdJDIFnQPE5ETcPqt2TQIUaOCZxbRCDGFMNt3W+jTVIbft/3O06PkzHdxiCLMu+uf7d8fvS4iZFi2FG4g4cWP4TVZMUm2Sh0FaJqKgICUvA8Hiwi1KKwK0DFc3qbSwPb90yIEX70wdgkGybBENIMjg3GfGpQ11QnOVo0QRfKrRWieen666IJuu5KkqTp+eZmxGZwz0n3YHfZWZG1gmRLMlMHTeWfQ//gVt1YJRNWSUIV8d7ojIZsQzF5Ezn6Gdt7OBc1bEP65m+QnXYOn3I+262ZXP/dK2QV5iJLEi5FwVbBXBr4fHwXCJIg0ymlE3ecdAfrDq9je+F2Oqd1ZlSXUXy06SOsJisun52DqmkICLy7/l3eW/8eiZZEnB4nZb7dLYMyT8OF78Im2jakI8SluLCarBXO6cHrY1MFSdEBTNWX5wz+w1T7r8Xj8fDss88yf/58unXrFmEyP23atGr117lzZ37++efyAUnGH7DB8UmCJYVH+z3KMyue4e9DfwfKv93xLWc1P4vbut8W8Kr1IKL1vBFhzSe6fam9R6HY0gOvTUop5i3fIHx1W6BM2Pg1pvgGWG74HkdCub9usjWFNFsaOWWRhu+ZMZkkWcqTfiXISTwx4Anu+/0+coMsFWb9O4v7T76fnpm98O+kTTCncGnbS3lzrdfjp9CfJdzH8DbD8RyF5JANYxsRK8dS4i7x+kM5yy9aWie1JtGcFHgdb06iY0pHNuVtiujHJtloFm9E5RocG4y51OBYUNdRulCeIM0v6HqpRpSu6zCtYpsw2DKYO3+9M2AD9POen0m0JPLC4BdI3L4epbgI0WxBKzyEkNoGcrdFDtia5PXIdZV4E3R5FIQ2ZyF8dj0U7CkfwfK34ewpaI16gMMb5ZvsLOKqtpcxRcd/HmBku8sxu0tBVTA5Crihyw18vOlj3vin3Ltv/q75dErpxJSBU8iUbN6oYFWhe3o3REFE1VQcHkfIbppTGp9Cksmq81lRq8JuqhTD5W0v440oc/qlbYeDx+vTaBMERra/kkX7F0X0AzCywwiSTdbQ8RkYHCWM+dTgaFGVKN1w4Ta8rjpRukeQCxsAh6eY5099noeXPMzOwp2B8i+3fck1Ha9hWOthfL7jc6ySzJqi7Zxy0tUk7l6q21du95H8tH8Nss8+4bau53NN2X7iZ5X7rmdu/IrM4SVfeAABAABJREFUtLbMu2wap338MIrqwe4qJkFKxmKy6Eakdk7tzN87fYlKrSY0ReCunncxbuG4wM1FgJmbZvLUKU+Rak6lVHWAWWTBisWc2f5Mftz1IxoaBc6CkL77N+zH2J2+f//BFzW1KOxu3b+TVrGto87p/RsOYOGqPwOv8/IKSbWmhqy7/WTGZJJ92LAANKg61f6KWLduHSeddBKiKLJ+/Xr+/vvvwGPNmjXVHoAkSTRo0CDwSEtLq3YfBgb1hfW560OEXD8/7f6J3LK8kDJPciu0k2+OaKs17I7W7SrUoCgXuTQbYd6dkScsykL4cQKSqyhQlGTJ4PnBL2AO2+5oMVl47tTnSLQEicSizPR10yMmFA2NaSunQVh+xMFNB9MuuV3EMIa3GU6sfHQSiSWa03ju1OeRwu5sxsqxPHXKVOLNKYGyeDmZJwY+SYI51NzcJJh4ZtAzJFqM75uqIMumI3oYRGLMpQbHiup46eqtd4J9dCG6l25webCXbrBvbriXLvi8dD0epi6fGuHnXugs5OXVL6OqCqrTiepy4l42E+3sqWCOCx2oSUYb+hLa1t/B7YDSAkhvB8teDQi5wQgLHkEwx3q9dAFKDnN6Zm96ZZwU0XZoy/NpG9MA3L6FpsdFibuYr7Z9FdF2Y95G/jz4JyY1eAFv4t5ekQnb0mxpjOo6KqJcF1UJfVQTk+bh0jYX6c7pV3cYSVNbOgFBWVPpmNSGc5ufE9H25MyTGdigryHkVgGTL8FfTR4mYy6NijGfGhxNattL1yRIVfLSBXS9dMsfoV66cXIcsijzw64fQoRcPx9v+hiX6sJiMpNgjsOtOdif0gR327Mi2rpbD2FbQkMOOnKQZYlYq42LGrYnfun/It94zlaa/fslwzufCni9c99YNJf7eo4P8WcHSDAnMLrj7byycHZAbN12aC/PLH8mRMgFr9f8lD+nkFVYvmYVJIGRHUbSILZBxDBu634bUjR7CrOp/FELvDNvDnd1+b+I8nRbOlc1v5oZ388JlD3z8Vvc1218xDrdarIyrusDPPvJ9FoZ04mOd26Uavg4cebTat9q/O236P5hNWHr1q00atQIq9VK//79mTp1Ks2a6UfLOZ1OnM7yOzp2e2TGQAODY4Xdmc/sf6P74M7a/Cld03oGonPd1lQY/BCmbiMQVr8PziK07iPQGnTHGVM+KQkAe5d7ff10ELYtQHLmoZjjA0e0T+rKF8O+ZMHu+WzI3UCX1C6c1eJs0qwNIWirR5G7kGUHlun2q2gKG3I3cnpMMzTA7spjwqIJ3NLtFpweJ0sPLMUm2RjcZDBbC7Yyc9NMHuzzaJ1H54qiRPf03nxx0Zd8u+Nbthdso2dGL05vejqptoYhsUwa0DS+NbOGzuGPfb+zIms5LRNbMbTVhaTZGmASauZBZWBwpBzLuRSM+dSgalG6oG+9EG67AJHWC3q2CxBpvVCO13bBFJ/CwbIDUb3f1+Wsw97meqxu79+vumcj2s9vYL78Y4S9yxAOb0RLagFtz0Hb/DPsWwOyFcw2hOQWCN99Hf3N7vgdMtpBWR5IVtJytvFcrwfY4jjElzu+x2Iyc2nrYbSwJJFckgMmM3hcqLZUPl8/M2q3n235jIubnUmaqiJIVlZnr2Bb/jZeHfIqf+z/g9yyXLqldaNFYgseWfwIb5/xOnHVNc4LF1OrIDZkihZeP+1lNuZv5tud3xMnx3JZ20toassgKez4VFHmwV73MqLDlczd+iWKqjC8zTDaJLQkvYZ+jgYGtYGxNjU4FlTHegEiI3X1onS97ZSIKF2/7QIQ1XpBjxgpni+2RiYe8zN/13w6pLVlm927s+Xz7EVcdMqtNOt9AwnrvgQ0CjpfzGZJ5vktX2LxReV2T2lP0rYFUfuNXTeH6y6czlf/endzLN71N/HWWF4c9Bp/Zi3mkCOLdokdaRPXgXvmTCPL7ttNajYRG2Nhl32Xbr92l51CVz6SSULxKJx50gAeXPQg9/e+n6ySLP4+9DeJlkQGNxnMkgNLWLR/Ed1bdOTvHRuijjXyAqf6Ubuzf/uGGKuVaef8j6U5i8l359I5viuNpGbc9NR4CkvKvxfW7tzEC++/y7M3TGN1wUr2O/bS1NacHok9eeydl9m4OzKRqoFBNKot5hYWFuLxeEhJSQkpz8vLQ5IkEhISohwZSd++fXn//fdp3749Bw8eZPLkyQwaNIj169cTHx8f0X7q1KkRPkYGBvUFVfMEPHr0KHWXomoegqcMtyUFd4MUTOf3BDRURN2kZoKrOPqJNS1iESeKEpIoMaTZEE7OPJk4SxySICGERbNWdgESfFdUQyO3LJeHFj9E47jGdE3rSom7hEeXPkqJu4Szm5+NhgZHwTdXEi1kxjRndNc7UDUPomBCjSoiC6RaG3Fp2xEMb3NFJW0NDI4Ox3IuBWM+NfBSHS9d0Bd1gwVdKBdvw20XINJL10vw8QKyaKFU0Rdy/SiqB1eJA0l2I5pl2LEa53tjMLXqg5jWDHJyENZNQJBlkINEUZ35MnTwxaC4fSfxjkHWoGliK67vfD0mQSROjsXiKo/IxWRGUxWKlZKo3ZYpZQHLIk1TKVVK+Xr713y/83v6NexHvDme73Z+x5Z87yJO0dmeW2303meEwKuRaTKTmd6dwZk9ETQBQXWja/GAV9BNjW/BSb0fQBNAVBXQqhDmbWBQhxhrU4NjyZEkSNMvkyK8dKMlRwsnWNh1qy5EQcSp6CfbAih1l2CVLFj9Nw8V+C5nOZIg06TrGbg8HjbkruBwWQFmEayShFWSiIuJwZRzKPqbdZdiMcmYgyIg80uLSI1J4pJ2wylTSok3x7Mv/zBZ9lwE38WF5vLgoeL5z6m6kEwmFI+CySRyoOQA434fR6vEVrRPac/hssPc/8f9OD1Orml7LRa5mjdGayjuvvfDZ8z8+WvO6DGQpLhEft01i3U79b22F/7zJ7+P/YtTOvehSXpDVh1azH0bqmcHY2AANRBzr7rqKi688EJuv/32kPI5c+Ywb948vv/++yr3dd555wWed+vWjb59+9K8eXPmzJnDqFGR28wmTJjA2LFjA6/tdjtNmzat7lswMKgT4syJnNFsCB9s/FC3/vyW52M22XSXSB4EoomgGqA16xddIk3vgGoJvVA9VLqHcb+PDSwMAdont+eF014g3VYeXRArx9MyoSU77ZHbb8CbRVQLantqk1P5bud37C/ez/7i0GylQ1tdiKbVvZAbjFeUrZo4W522BgZ1zbGcS8GYTw1CqYso3ap46epF6Tpysmkd1yLqGDJjMrEVFqC4vQcEX8iqmxYhWiyIZgui2YyoqaFzZ94etCa9Efat1O+8xSlweBOYvL3mNO7Nl/v/4M1/3gwk2bSarEzsN5FTkzqQWJYLHhcmVxEXNj+XX/f8qtvtaU0GkyBIgAs8Lk5K7w54F97hPrRtktoQX0mymBoTTXAQJURPVUVZDUF1HYXbtgYGVcNYmxoca45U0AVqJUo3GFmU0VA5pfFAFu77XXc8Q5oN4ZDrABbJjEUy4zS5cHicOBU3mwu34PS4cGvugIhrVRQcisLeon0UtTkDy+oPdPtVWp/B0kPbkX1+0/2admfSuWO4d+H/caDkQKBdnwZ9WHrfe5zy4k3kFBUgmE04nQoJ5gTsrsgod0mQiDcl4BAUsJj4Z8dmuqR2YX3uenYU7mBH4Y6Q9l2TezBlj/4Yq4xuAgF9gdfldvHDiqrtFNA0jUXr/zqSkRkYVN8z96+//uL000+PKD/ttNP4668j+4NMSkqiXbt2bNumk8QCsFgsJCQkhDwMDOoLJkHmqtYXkWRJiqhrEt+E/hknRYl1qRxPXEO0zpdGVggi6vkv4LaW++AWOLOZsPjBECEXYHP+Zh5e/DCFzuxAWYI5lYf7PRLhYQQwtOVQUoL6lUUbt3QfQ4wUE9G2fXJ7OqR0qvH7MzD4r3Es51Iw5lODSKrjpatbrgohfrrV9dL1/gQ0jWRVZGTri3XP83CPu0k8sBvFraK4PShub5SuUlKM6nYGvHRVlwvV7cRTYkcrsUOpHW3jjzB4gq4FgdZqiDfK1FkEpflgjuffskO8uubVgJDrHaODR5Y8wgHcXvsjxQmKg65JbWib1Dai3zg5jps734DVVeKN5AUy5Dhd/1lREHm4z4OkaoI3+ZgvAVmdE+6/W0MfXgODY4GxNjWoD9S2l663LNJLN9hj1++Xq+el620rcE/X0VhNkTcIu6d2oW1sEyRRJF6Ow2LyCrpWkwWLJAe8dBMtsSRZbeWCriThVsvYbraiNDk58g1KVnIG3M2s7X9gNsuYzTITz76Fu3+7K0TIBVietZwZG97m+eFjMfssHF77fS6jO9+q+9ld1XYkM//4LvD6jZ/ncEPbURF5VAD6ZPZl6849FJdF3zVTY4I9d2vZf9fAoDpUW8x1Op0oSuQFntvtpqws+hbzqlBcXMz27dtp2LDhEfVjYHAskFyFNPrtWT7p/ySXtRxKgjmBFGsKN7W7gnd73EeDv2ZgUmu2MHNbUvCcOxVt6EuQ0grMcWithqCO/g13g54hImqhs4D1Oet1+/nn8D/YXeUZqzWgQ0pXPj7vE/o37E+MFEOz+GY81n8S/9drHDFyYsjxmbamzBo6m6EthxInx5FuS+f27nfwypBXQxKrGRgYVIwxlxrUV44kORroJ0grr4sUdR2q7+FLjuY2xxJfnMUYS1Om9hxHy8SW2CQbvdJP4sNTnqXPxh+wtuiMx+0JEXQVtwfV5UZ1O1GK7ShFdpTiooCoq7mcUHAAbeNPaFd/jtb2bG/StKRmaGc8CoPGoW37BUrywFVGXoNOvLvhPd33qKEx69/ZOOIy0DxOUJxklBXw+qnPcVvXW0izpREnxzGs1YXMOu9Dmng8BKwLPC6SPArjT7qbR/s+TNP4psRIMQxo1J9Pz/uYLjGNQoVUv6h7tITdYAyR1+A4wJhPDeoTVRF0AV1BV688XNCNJuoCAesFv6Cb7hFo8dtzzBr0POc0OZ1YOZbMmEzu6XQD09pdQ+q/P5JuzcRskjGLZq+Aa4kj0RJPoiUuIOpaTGaskhwQc5OsVt7bs4AdZ0+mePADkNAILPG4Owwl65oveHTTj5SpDmRZIjM+lSJ3Idml2eixYNcCTm7eAVmSMMsSS3evYfW2PUzp9wzd0rphk2y0TWrLgz0fRrPH88Ff3wSOPZCfzQtffczz/V9kQMOBxEgxNIptxC0db+WclGE88OHz3m1B5mpLXjXDEHkNjjLVtlno06cP06dP55VXXgkpf/PNN+nVq1e1+rrvvvu48MILad68OQcOHOCxxx7DZDIxYsSI6g7LwKBOEQC5NAvRVQwmM4otFUWKDW2jOBD3/EnTjV/zYOfh3Nr5DgRVIWXT90gLpkHzAQgeJ9QwUYjLmoHY4wakducjqAqqHIfbHBkBUOIuRkDgjCaDua7Z2cRholjz8P6eH/lt/yJK3KF3KGXRSuukTjw96HkcnlJEQSLRnKrv3SuYyIxpzoN9J3JXz/9DQCDBnIIQ5YLE4MTALJlqnPlTVIy/DT2MudSgPlMdL13dHYhhXrp+ewU5Np7Ow2+g5YDTEDUV++Fs/pn5BmW7NgS8dD22ZISSQ6T89hBDMzrRv+fVKLFpWHO2kvjlPVCcjbPxmSg+Ndnj9mAK/n5ye6J/X7mdiFsWwcGN0OkcOOkG8LjRDqyDVR9528jeCCaHKHGg+ACN4xozps1ldI5tDILAsvzNvLv9C/aV7MOhaVgAzeNEcEGmq4RbGp/OZc3PRhNEElQNq8tJQMj1L/I9LlI9Li5reAqnNeiLB4gRTCQgVOxB6xd0Tcc44VgFdg0G0RHNEmINRQURw5s4GsZ8alDfqE5ytHDbBX85lFsvBNsu+OtFROLKShDdDjRJpsQSQ6FWGmK7IKsi0r/f0nr7bzze/UqKut6D6CojZd0XmHY9jnrS1cS260Ohy1zpe/KKui6skguH4sahKEzdPItW8S05c+gLmEWJ1YX7+GL1+xSVFSPLErIs0TSpAdmlWUiixNBmZ3FF49OwapCrOpi+8xtWZK/E6fH6+sqShFtRmL70c776ZyGjB17M+R0u50DBYZ74/GM2Z/tsAa2+Od7h4ae1S1ixbR03nj6cu1qdhb20mI++msefW/4OfQP+717XMfgurYZVg0HVsMgSklyzaw6TfOLMp9X+BKZMmcKZZ57JP//8wxlnnAHAL7/8wooVK1iwIHpWQz327dvHiBEjyM3NJT09nVNOOYU///yT9HQjws+g/iC57Eh7FiHOnwAFe0A0IXe8COnMx3HENQm0U81xaA27I/z7LZa1s8lcOzukH61pX1Q50qKgOqgauGwZFbZJsiTxWr/HOGn3auLm3ubdMmpJoG3vG1jVdyIJFv0tYFYpHqvkTe5QmV2CLNpIsthq8hYMDAww5lKD44OqiLoVJUeDci9dKbURFz07g/j10zH9eANoKskprcgYO541P/zInh8+waGCKz8HNd7nOXloI6k/PhzasTkWjwfc7siFkOJWkWTvYP0XuKrbiShbAl66AGJRLsLfn6PJlvIEabIVzOXzWqyjmItbXsCl8W3J/PUpyFoHQOvmAzjrtMdYULybWMXhtVnAO28KJgum0hzSJV+fpqAFsslcLoL6RU9XEWmBNmpg7hUqE0XDo3SPtbjrpyLhwhB6DeoIYz41qK9UxUtXzzM3uC7cS9ejKcS5FCyb5yMufBpKDoNkQep+NbGD7iHHXL47xiWCLaMzZK8nZsUMYlbMCOnf06wviurG7JuHzKIZl+oK1FtMZiyeci9dPQ6U7WX67p04FIVSRUEVlBCR7UDJIVoktOSDgc/Qdt3X2BbdCIqDtrFpdBxwJ780HIjZZAnYLPg5VJLLY9+9FXitBV9s+J/7RN2CUjsvfufzxnVWIpIG31A7FsJuYBwVBLsYQq9BFan2ldXAgQNZtmwZzz33HHPmzMFms9GtWzdmzJhB27aRXmEVMWvWrOqe3sDgqCIA0r4/EWdfXV6oehA2fIGQvQ7Ltd/gjGkAgCLFIp36AMLm7yMjayQrWverUavvbFJtMqVYmv37K+a/Py4vdNqJW/I/+vW+EWfjU+t8DAYGBhVjzKUGxxNVSZBWkahrFjXOeeQFkn67Fwr3llfm7cD2/W10v/Bd9q/4g9LsfVhcTg7v3k2zBt0Rsv6JOI+n+3Xs/3GWL2Fa+YJHcXmQwk9eWZSubEEwBwm6QST+u4Cbu16E+e0hIeKpafdSGs2+kZE3/4y0fzlIZjBZQHGWi7HhnZnMXr9cv3CrKiFRuiGiL6AFLf4rFXah/oq7wRjRvAZ1hDGfGtRnqhOlC5GibrigaxHMWDZ9jfjD+PJGihNx1bvIedtIHP4KBZKMW3VTJMvEnfEopk+uiDxhTArupn1Q1EOYRXOEkGs2ybii2PuER+mGY5UkHLKC063gdLtoJScQt2gipp1/lDcqySHxp0mcf9Zk/i7yRvK63QpmWcLlVgLJ0wBcbgXBN79rwVuCgkVdfxZVS9CcXx1hF46tuBtMNKHXEHkNwqiRstSjRw9mzpzJhg0bWLlyJe+++261J0sDg+MBuewQ4oKH9CtztiLkbA4pcie3QR05x+sd5Ce1Der13+GKb1aHIy3H4rBjXvOJft3qD7E6C3XrDAzqC6+99hotWrTAarXSt29fli9fXmH7goIC7rjjDho2bIjFYqFdu3YR2aur2+fRwJhLDY4nquKlC/prDVvDVsRTECrkBhGz6lW6XH6z9zweWPXaJOx9H0ZtfRYIPmlUsqL0vpU8U2sO/PaFz2PXu35zuz243R4UlyfgpesodUd46apOp76Xrtv/cEBJPhQX4G7WD9Pil/W9ah0FCBu+QEtsDooDPE7vwx+l649g8r3G4wp9QKj/bHhdEJqqhIi7VSLYZ/dYeO1WB8OXt04x5lMDg/rBkXjpBnvl2krt3ohcHYSdf2ApKQC8vrmCAPbMtngufh1iUsobNuyO67qv2Ct5kEUzZpPv4XseJ8f5npd76Vokc5W8dFOsVmJ8ry2yRJw1BktZQaiQG4R10Yu0s1owy6aANYM/Stcv6JqDyoRgoTP4uVVHALWYQsXdyvD76x5Nn93qEM2T1/DlrXPq61xq3A43OKEQ8Noi4HGgynF4pCOzNRCUMsiNnhGe3UsRmw9G9ec1kWJQW5yBedQviKU5IIioMem4bBlRrQsEQHLkgubBY01B1cnIWS1Kc6N77qkeKM2DRP1qA4NjzezZsxk7dixvvvkmffv25aWXXuKcc85h8+bNZGREWoy4XC7OOussMjIymDt3Lo0bN2b37t0kJSXVuE8Dg/86gslEh9MvoE3vPjjLyvj7uy85vG1jlSJ0IdJLN6VVB6w5q6MfcGA1yWfeiUv1rp+KCwv57v+upOcN99Ji5FhMKLgV2PL5e2TPfz4oCMcfA6sRE59A7OlXYWvSGiX3IKVLPkMpywucQgJUlxvRrBO1qhOlq8YmY9r7V9QhyzsX4Wx7NrJLP8FSRJSuZCmPwvWLtn7rheBFfnBdcH8+gbNKkbrh6Am69TF6NxgjkveIMeZTA4Njj4CAyVGM4HFjssbjMZmOKEpXdJVAWX708+VsQU4ehKp58GgKpbKI0v40Epv9jFRWiCaZKbPEcFAow+kpCyRPCyZBTiBNlfBoHvaodg6WZkVE7vqpLEq3TWIL1MObor9ZRwEWjzMkElcPt1IetRsRpRtmuxCI0i0fZPnzyqJ1g6mvkbt6GNG8dUZ9nkuNKyKDEwbZWYApey3CoucQ7PvRGvdGO+VeXIktUU3WmnUqSt5s165i3WohqSlakEorAJbi/bB2NsK62WCSEXvdhLn9+ThjIjPhWkqzELf/jLD8LXCXIXUajtbzWpxxzSr1rY2KuRIBWza8bg3qL9OmTWP06NHceOONgDeByXfffce7777Lgw8+GNH+3XffJS8vj6VLlyLL3gvSFi1aHFGfBgb/ZdJad+SqKdOI3fkdln2zwZJAl7GjOVgax5wJd+B0exdz1bFdcNgLUGw9o190xqbjLPLuGvELuj2uu4dmndphWTwFoeggYkZX2l10Da7CHPL/DI1uSDvtcppefD3Sug8R93yCltiMhLtepHjtn5T8+IbPS9druRA8BtXpDPXSpVx8FdxOiMuIGk2sxDfApDjBrS/mAiBZvMnRfDYMAUEXQq0Xwr10oVJR10+NxF04PqwZ9DBE3ipjzKcGBscWudSOuG8F4pKXoTQPrdUQpH634kpqiKLjkRuOboI0yQKCGD1wJzYdzVdnEiQEDZJKSzGt/ABxy/dgScDadwyNmvVhj+jBf+vRrbqxmmLoYsrE8u+PyGs+BaBh9ysoa38uS8q2UuwuXw9bpIq9dK2ShFVRKFOKEOIqEKcEESQrZp0brdFsF6DceiGq7YKfaMJudURdP8eTuOvHEHmPmPo8l9bD+HEDg+pjcpdgWv0u4kfDEHYtgrwdCOvmIL41CHPWqkj/uiqi2DLQet8U5aQyNOsfIrpaivchvn8e4m9PQM4WyN6A8P04xFkjsJQeDDncXJaN+MUohHl3ehOr5G5DWPQc4owzsRTtruGIwWNLhfT2+pWZnb31BgZHGbvdHvJwOiMv/lwuF6tWreLMM88MlImiyJlnnsmyZct0+503bx79+/fnjjvuIDMzky5duvDUU0/h8Xhq3KeBwX8V2RbDiCenkTL/Ziz/vAu52+HA38T9/jAtD3/NsIeeCrR1qlWzXnB54ODaPxE6DvUu2nRQ+97GP998HlhbtR52HW0aasT8cCvC7iWQtwPTv18T8+UIul11PVKTjoB3jRbfvjdNzx6K+YuRiFt+8M7/OxcifT2K+KaZWHpeELBe8NsuuEocKCXFAesF1eUM2C54SuxoJXbMq+fi7H971Pelnnwz4s7FXmuG0nyvqOsq89ou+K0XFO9D83gf/tdAuVgbbK2gZzEQxX7Bj9+GoUZ2DCHnOY6sGfSIZtdwglk2VGUuBWM+NTA41kiOYky/Pok4+1rYt9I7N618B/GtUzHn7sIkSlWyXgi2WABQrIlo7c/Tb2xLRktqjiiImAQTAgKppSXI75yFuOyVwJwufXkrth8eookWgyzKgUdbEon79Brknx6Dw//C4X8x//w4ibOuY4CtDWaTTJwcS7wcF7BesJosAduFBHMciZZYkqy2gPVCmacEZ0LjUJuHIDxtz+bvokNeewWzjNksI0tShO2CnvUCeG0XAtYLesKl1VSxBUN1bBjCCbdlqI/WDNEw7BpOiLXpcfQXZ2AQHbnsEOJvUyIrVAVx3l3IZdk16ldUSqH1GdB8YGiFZIVhr6Kp5Xe1RM0Da2bqRvEIB9cg7P2zPOIHELPXexep4RQfQvjzDUw6W1mqRGwT3Je/H+rbC5DQGPelMyC2cc36NfjPYpYELJJYo4dZ8v7VN23alMTExMBj6tSpEefJycnB4/GQmZkZUp6ZmUlWVpbu2Hbs2MHcuXPxeDx8//33TJw4kRdeeIEpU6bUuE8Dg/8qJw27iviNH+hu4ZR2/UqzVo2wJiaHlFdF1BVsCXgcxXDBtMgI0DZnQqOTSG7i9ZV3eqDz0Cswr3glsiNVwbrkSdqNvMPnmSvQ/Mo7MS96nJBtMj5MS58j/sxrK/XSVYrtkV66O/5CS2iOs/eNYW9GxHnWZFRV8WYRd/lEXLejXND1i7rBXro+URfQF3SPUNT1Y4i7OtQTkVeULIhyDR+SN3q8KnMpGPOpgcGxxlSUjfD3R5EV7lKEHx5EcpR621VD1AUQFBdCn1sgo1NoA2siXPQaQpC8E6OJmBY+qzuni1t+xGbPRkREFmXi5QQs236DnK2RJ8/dRsz230m3ZNTIS3fWwWU4R3wK1qSQbtWMjjjPfoKpqz5FChZvgwTdaF663nodL91owmQ0URdChd3aFniPN44TX16L72+rJg+L74bAibA2rfKepGbNmjFs2DCGDRvGkCFDkCrxNTEwOKoc2hh9u0neDsSyfLBlRlQJeHOraBq6tgaisxDh0ythyCPQ7zbveWwpXqH0z9ehcB/igHGoGpgcuYjrZkcdorj6Q0ytz0GRYhDxIPz9YdS2woa5mAbeg0fHmqEyNMCT3BH1xu8hdxva4S0I6e0hpTVafIua2zcYGBwBe/fuJSEhIfDaYonMHl8TVFUlIyOD6dOnYzKZ6NWrF/v37+e5557jscceq5Vz1CbGXGpQn+k4aAjSsrui1sfuW0jTHv3Y+vsPIeWS1UZml17IAmRtWIXiCLUeaNS9L/KmL6BkP1zxEeTvAmcRNOgC2RsRZ42k1aD/8c+ct4lJzUQq2lvhnJ7YryEOFawiWBIToPiQflvFiegpRRFkcEURJN1e+wU95Nn34L5wEu5eN+LZ8yeYzJia9kHL2415pW+RLjtArrqVU4SXrp9wL12o2H4huF1F5/uv2zJUxHEYtVtXcykY86mBQW0hIMK2X6LX71qEyVmMYi23xjOJEh5VQUBEFARUTUULW7WZBBOS0w6f3QBnPOYVcHO3QlwD+H/2zjvObfr+w4+mfTuL7JCwR9gJe+/VMkpb9i4tlJ1O+qPQ0hbogEKhBUqhUAqFllVGWQ1707BXwsyA7HW5ZcuSfn/IsmVZ8vadfPd9eImzpa9k3eXOX+vxx+9P0zB4+jLY9Xuo6++GjUUs0YX0wQOh5yG/cw8te3+PXrOHjhSob98ZOlZ/+19MXPd39Fo92XVpqVssS3d254fcKkscfeqjqMs+glXzYOzmrG4eyfde+TOdZheaVt7frxu9EJql65xgerAnUiAsVzf/G8i9X0ksAzRmNEMYgyyyYTBcm5b8V3PbbbfxwAMPcOaZZ7J06VL2339/DjnkEA4++OCcMF+BYEAodnHi+2inBOjdC5C+eB3pi//BWhtjT96FZOsELG8XUUlyLpwev9DJmh22NiS6oPMLZ/v6++YeVS7wrpWsYEue2ly5wEVYQCfTcrAAWqdA6xTkyfvQmE+xgsFEe3t7zoQZxKhRo1AUhcWLcyvpFy9ezNixYwP3GTduHJqmoSjZv5lNNtmERYsWkUwmKzpmPRFzqSDK2LZVcP6xJQXL9MwoksT+5/4fG03fhviXLwASiXNn8PHrbzLzD7/EtpyLFtuysGUVPv6vswxb25lTn/tdJkvWsiBpSTRZVuG5FLDSKrTPArtIkJItSfSlLGJW/kzoZOk6rw+Cs3STKPdegBxrQ1lve5AleON+FHAErh6QQZ/sDV6vxp0qXfe8oHCWrnsbgqUu5FfqCrlbGyIseUuZS0HMp2I+FQw4AY3FMkhy3jt6km3T3LUCae6LsOQD7AnbYE/Yhr6WkdhkBaAtyU6l7UPnQawN2idA74rsm5qyivu2oSSlr03DLgQVLVvxK6uFr6dlBUlS0Atcv8YUnZgZnKX7waoP+OGydxjfMo72eAezP3uEL7qX05dKoWoqqqaiGSkMI/j515G2wa8NvEIXKE/qQnGx63xzufeF3M0SJnlT0f7eBsO1acm137vvvjtXXHEFH330ES+88AJbbbUV11xzDWPHjmWvvfbiqquu4tNPPy3rwQWCmrHWxuEXEqM3xWrKfixUAmKr5qDcuCfyv05AevEPSP/+LvL1O6IvfgPJM2GaseHZXCKjF5bOzopcgA32w0q/aWo2jcTe+oTQU7S3/RaW4lzgmcjY004MH7v18aSa1ir8PZdItJ9GBYIsuq4zbdo0Zs7MVjNYlsXMmTPZcccdA/fZeeed+fjjj7Gs7G/6nDlzGDduHLquV3TMeiLmUkGUefu/j5Dc8JDQ7d0T92L+6y9m7h964eVsPWw+wx48jvis64jP+hMdDx7H5m2fcfCFv8mM++LNlzA3OCh7oFXznPk0HTdgbfZ1Pnz6UQBWL1+GNWydgnP6qi+/IGE611Jrli515HAQegtJU6e3z6DPhDV9JoZhZmIXSs7STazBfP+/2LOfhZ5OMBJOrEKyF5Lp2z2rcrNz3diFoCxdKJylW078ghd3vHcpgj+WoeJoBn8sQ6NHMzQ4Yj4V86lg4LCxYP29w7dvsD+peFYiSbZEbNGHyNftgnT/d5FevAb5Xyej3Lg3TSsXIHnMrxVvhzGbOXcSa5xsW6/IHbNppqI3EWvB3vyb4Se6+ddJWgk0WaNblUlNOyl0qDHtRLpUGV3R0WWdVq01c9vN0vVGL4Rl6a5ILOXDVR/Sa3bTnP7Ye0dTnJgrdNOLqik0NcdyYhf80QvgZOcGxS6AL08XwuMC3AiGQlEMfkQsQ3FC5HsjEfW5tKLfmKlTp3LBBRfw8ssv8/nnn3P00Uczc+ZMNttsMzbbbDMefvjhSg4rEFSM0TQa+6Ar8zdoTViH/gkjnhWjat8y5Hu+5WTdeUl2I995FHp3NqvEljXY+TxoDmgatu23QM1W39jIsN5eMHqT/LFTdoXhuREH1siNsDc9LH/siHWxp52EJYmPiwmGHjNmzODGG2/k1ltv5YMPPuCMM86gu7s70+3zhBNO4IILLsiMP+OMM1ixYgXnnnsuc+bM4eGHH+bSSy/lzDPPLPmYA4WYSwVR453/3EPn+l/Pz1wHkpt8nY/eeo9kj9PNum3MBNadPAr9g3/ljdU/vIe1J3bQNm4SAGYygdwyErYIuKhsGwfTT6V31arMKgsF9roof6zWjL3vJfR2Zz/m+dpfr6Z3t5/lV6VKEsndf86n//wTfSb0melqXhMMw6S3O1k0S9dKJPKzdJOJtMxNS9zuldC1Kit1vdm53SuLZ+lCbpZuOVK3lOzXMuUuiNzdwYKYT8V8Khg4Uq2jsHeZkb+heQT2fpdg6tl4Hq17OdKdx0CyK3dst3PNqvdl19uKhr3vJaA1k8deF4KkZpqm2ZIM008OnNPZ/BsQH4ac+TSOTWrKTtgTt8sbak/YlsTkHUjZBpqsOxI3I3LTYreCLN1h8Tgj4vGM1PUK3ebmeEbq+pujASVn6UIZUtelFnK3UsHbyE3VBilRnkurtkVjx47ltNNO47TTTqOnp4fHHnuspvlNAkEpmGoTyY0PQxu3JdLLf0Ja+Rn22jthb3M8ybbJORJV6V0Oi94OPlD3MqQ1C6HFmfTU3qVID54Lh98Ac1+EeS86mbmbHQHLP0L6ZCbS1qdiA2piBdIjP4TdfuhU78551PmIzaaHOh+nefYKlK/+ETP98ZRk01roB/wWeavjkF69Hsnowd7iKKz19iYhmpQJhihHHnkkS5cu5aKLLmLRokVstdVWPProo5mQ+Hnz5iHL2Rc2kyZN4rHHHuP8889niy22YMKECZx77rn86Ec/KvmYUUDMpYIoYBpJ/v6973DUZdfQvvptmhc8g6W30bXe4Xz66SIe/X32xeoWBx5O60f5Itel7aO72WT/w3n1lj8wYasdsd+526kmOnwveO8+6OuEdXaDCdsgP3gOWxz8HT5+6kFibR0oa+bDik/hqNvh3Xth9QIYtwVsdBDSU5cydstzM59MXP3p+7xw0w1s/507iH/6ENryD0i1Tya54df49KE7WPjKTOKK+ylKt7rJfVXgfEwylTRRfRd2KmAlDWQ9oELYSCBrMSQ9BlrI36nhy9L13/eRydJ1oxegePyCi1+4FvqorIhmGDKI+VTMp4KBw4w1I+14OsoG+yK9fB1S9xKsDfeHqV8j2T4ab7cWqWsJdIU06178LkrvSoi3AKD0rER66ldw5N/ho8dg4VvQNh42+xp88hTS8jlILdOxsYknupDuP9NpPrrwLfj0aSeaYbOvQddSePuf6Dt/OzOfrtBNRnz9BrQFr6PM+htgk9rmeJITt+ELqRcs0ArFR3goJUu3LxX8Jl9MU0n44hZUTSFl5EcbJA0zJ2/XzdLNHZONX7C9UQt+oRuW/eoXuqXEMkCu0K00lgEGZzRDAxHlubSmpX/Nzc0cfvjhtTykQFAypt6GudYWKAdfjZRKYGnNwdWtqSKVKd53RW3TaXp2+9dh8s4wbitIdsMjP4CeFdi7/zjTQE0yDeeCs2UMjN0cJkx3JG7zSFj8HlLXIiTLyMnKNZpGoY+eirTXT7FNA7t1TM3iFQSCRuWss87irLPOCtz29NNP563bcccdefnllys+ZtQQc6lgIOlcOJ8/n3QYE7fagSlbb0uyt5f3bvgh3ctyLzSbW1uREqvDD9S7kqbWVhIWaM2tqMmV8MS10DoaNjwQhq8Dnz4Fz/waJAl1ajNJE1qaWpASnc5cvNYmsPO5TlZ98whQYrDiM2yPFExasOjNF/j8pW1Zb/cjsO0Elhxj4esvM+/ZRzBMifwWpxJxxU5fj4Vl6TqN0YKzdB0xJOOLPTT6IJnO0tUrk0dlSV0XIXcFIYj5VMyngoEjFW8lNXFLlMOuBdPAjjVjYZM3J/krcvMOlM2flUwDvpjlXJuutxeM3xp6lsN9pzvHmbwjzsxkI9nA0g+gfRKMWM95A1XRnWZpHz2B1LUok5kLIEsK3bpG24RtkIZNxsbGbB7JChUUW0Ej+xxtWE6VbhBBIjemBmfpusRVlXgqRV8qRU8qd47RNDUnS9d/P3NORipTkRsmdfPydHNOvI5yt1aZuyDk7gAQ1blUfI5bMOgw5VjBiyi7aZjzrmRiTf5GSYKOSZm7ltaCMnZzWPQOzH3BWbysu0c2Mzc2DOW4e5HmvgB3Hpk9fssoOORa7K9chaVmPxIjWwaxRbOQ7j4J1jjRDpLWjL7vJaSmfh1DH1bBdy8Q1J6YrqAV+jhSAWSz8fOSBIKhyII3X2bBm+EvRD99cxbTv7Y72sK3ArcbU/bgs3+/7hzr/bfoOfZrtHO7k+33+q05Y61JO7LgHec4q5YsRpq8E0zdC+4+BRa+6QySJJh6BJw2k563X8lcBzXFdfb77e2M/PQOlDuvzRxz3YnbMerXd/DCj46lb83KjLwtVqUb/M2YqFo/VOl6GqK50Qs5TdIguDq3XLkL4YJXyN26Icd05Ao/eiuLVrYCQcNiqiqo2cZkebRPdAqA7AApp7dC0wgUWcW0UlixVuTW0c5c6jYV9TJmaqZhWkrVUc6ahfTOP+H5K7NSuGMiHHET9oYHkbKMjNDVUiZt8/+H8sA5TpM1QIkPY9whV7Ny0haskl2JG/7cHCRya12lm3NsXSOZzN03SOq6TdLcdZLvuqamcheKC96guUA0VSuZ5nSkRiUY6uD5+YgQDsGQw4p1BGcYAfaWx2LrWeGaio/COsCpGsobO2E61vB1M/dNJQZrFsKD5+SK4u5lcNdxkOrLdOAG0NfMR7rt0IzIBcDoQfrP91EWvlGkP7dAIBAIBAPHvDdeQt76KPA0GM3QNBx562OYN8tplrZmyZcs61awR22UP1ZW6N76LF6962YAbNOkub0V7jo2K3LB+QjMu3djP38VIzeanlm9yddPY+S8e1A+fiznsNKCV2l/5VI2+dYF9FlOZq6z4Ftys3RTSbM2WbrJXidLt3t1fpaut0GaN0s3sTqbpevJ081rkgaFc3BLycktNXe3Bpm7oqmaQCAQhGNrTaFNtO1dzsOMtQE4Qrd1FNZ+vwweO/UwUs3DM5m5UmwYLHgVnr4sd/5YvQD+fgSSlUSSXB0k0bZmGco/T8iIXAD6VqH86ySGrVmFJutoshay5GfpOo3SWirO0h0RjxfN0vU2SPM2R/M2SPM2SfOu8+Lm6nqXPNys3WKZuyCaqgn6BfGvKxhyKL3LkVJ9cNBvnY95gvOxzz0uQJo4HalnRWasDRhjtsQ+6RHnYywAeiv2jmdjffM2kk2jM2Pj3V/Cc1cEP6iVgv/dTMxymrbIEvDePbkTqwf5qV+iJlYEbhMIBAKBYKDZfL/DsGfdBkfcBBsdBLLiVBZtdKBT8TPrNjY7IPvx5rsv/h5Ltvs5yc2PBc1pHmpP3JY1X72V/954PT3LnW7cozaY6mQHLvso8HGlt+4grmTl4Ea774sy+6HgsQvfYK0NNgZJoi9diBEsdbPrDMPMSF3TyErdlGHS15Mk2d1HqrsrI3WtZCJH6NrdndDTCT2rs1LXbY7Wswp6VmYlrit0CzVIC2uSFiZ2Iyh3gdo0VAMhdwUCwaBD6l2JNG4L2PP/oDWdmTl8Chz4ayTLcjJz01gSpNbfC+voO2HUBs7K5hFYe1+Euf+lJGPZoiR9zUKkZ38b/KDJLvjoCZrlVhRJpclWkF/6o/PGqR/bRnnpj7SgocrOEiZ0tRyR2+qRuxqtWgttWmtG6saVWEbotuutdMRaGBZvykjduKrmNEdraY5npK4rdL0N0rIN0IKlLhAodYPkLuQL3jz8crfeTdUqRTRVG7SImAXB0COxxsnom3o4HH690w3UTMJbdzrvXB53H4zcNDPcVFtIjN8B7Zu3I6d6sSUZs2UMhpLbRVRK9SAt/zj0YaVls50cwKZmJMtA/vL18HNc/glSKgGiX4NAIBAIIsjIiZNQ5z8JH94P+/wM9vyJcxG49EP491mozcMZNWG/zPi+1Su56fSj2O/8n7PZ8Y8iSxIrFi3ikV9dyJIP3syMm7zdnrDis/AHTiUg2UXScipqFdsI/mhqGql3BabWjJLszgjduOwI3GxubmY0JcUuQEiWbhJZ1wtn6fpJ9mbXa03O/RBy8nQh/w1hfxSDl3JiGaD03N0axDJADaMZMucxuCIaBALBIKZ7CTw8A6ad4jT+VGJg9MCrN8K7d8OG+wLjMsPNWDP2+nugjb4byTSwZQWjdS0MyTcX2jYUuDZl0TuosgoWKEYCackHoUOlJR8SNy0SmoZhGaiyRiodueCNXvBm6SbNJHpIrq5LLbN0S8Wfp2ukj+sXuknfsesazSBydwUVUPYrp+7ubi6//HJmzpzJkiVLsKzcf/hPP/20ZicnENSFWBvs/mOnmcq934ZVc6FlLdj2VPjKVdl3RNMoqW60xW8jP3YBLHwTSW9BmnYy8g5nkmjOTqy22gwj10daPT/wYe1RG2HH2p3bsoY1fhvk2Y8En+PI9bBVYXIFgsGKmEsFjc7yBfNJ7bwr6kb7wKt/hvvPcDZssC8cei2p2U+w7KXsfBjvGM6J19zKiLkPoP3tMkj1MWbCdL7+k5/y35v+wpynnfnw0xefYO9jvxH+wGrMyRBMk5K08KxBwIqPINXXQyptQmMK9FlZoevgrUTyrityoVRNlq7RB1qJWbo+8tq5hcldCBe8heSufztULneDjhVAzXJ3M+chJO9QQcyngoanZTQcfCV0L4U7j3HycIetDTt8F0Zt6Fy7elASPajzX0V+/CJY/jFS03C0Hc9E2eoY+pqy8yOSBCPXDxe6YzfHtJx5ztRi2KM3RVr0TuBQe/TGmFocSGQErlogOxdAk3WMdFauPzfXjV4IytIF0tELwVm6cVWlT0sVzNItBVfW+rNXhdz1ICRvpCn7ldK3vvUtnnnmGY4//njGjRuHFJAlKhBEGbNpJJKqIz3yw+zK7qXw9OXYWx2LveEBmdUSoC16E/lvX8l+7CTZjfTStchzX0I/6g6STY787WsZT9Ou33O6c/uRVZh+CgnZqea1bGCzI+C53wVefFl7/ZRUbEStvmWBQBAxxFwqaHTeeew+DjznBbj14Nx8vTmPwbxXkE76D+/8bNfM6q9fciWjX7kIadmczDrpi//RtvAk9vnW31jwzix6li9h5WeznTdVR20QGLVgb3ksPYmsznz/qSfYaaOvoHz4QP7YcVuzcM6HJE07c52SMLNCF0qv0jUME03LXjilDAtVcw4aXKXrSNSyqnQLocad6AW3IVpmfbZZWubMFY88LrV61y9cy22qVki+DmRTtbxzEZJ3sCHmU0GjYzcNx174FpK3OeiqefDoj7H3/D/Mpuw1oWxLaB89iXTft7Nje1ciP/lLpEXvoB/060zUgtE2Hm23H+aOddFbYYN96bN7UCQFUwFrpzNR3vlnftSCJGHtdDZ9koWCimmncipxvVW6paArOsmAN/68VbqJEInrVun6cat0wyp1nQZoCknDzIwNk7Wlyl3vPlBnuQv921TNRUjeSFP2K6NHHnmEhx9+mJ133rke5yMQ1B05sRrpuSsDt0lv3YG0y/cgfY2l9i1DfuzHgflB0pezkFd8ChOylbz2sClwyDVIj/0fJDqdlS1rYR96LVbL2Jz9k62TiB3/ANLdJzmN0wD0Fux9f4E5dquwfqcCgWAQIOZSQaMzedrOWG/8IyfLL0PfKqzXb2fKtF2Y88wjtI2ZwKgWM0fkZrBMWl6/lu2OPIWn/3Q5AI/8/nIOPPcO5wL0yzeccZKMvdkRsMu53HDw9IwgfeOuv7D+H25ntGmgfPxoZr62J23Pyq2/zyvfOxbIXnfocvbaxl+l6wrduOJeM/krd8MvilTASlZYpQu5Vbne6IVC+MUuBMpdCKne9X4CaKjKXRev5BVZvA2FmE8FjY5k9CK9cVvwtheuQtnim6Rizvygdi9DeuLC4LHv/xt1jx9nZG6SBNraO2Dv+RPn2jfV5wzsmIT99ZswWtcCslIu0T6O+DdvQ37g7OybtE3Dsb56Nd3to5ElCdM2USTn+dcrdYMwyhG8IVW6ToO0ZGiVLkBMU3OqdCuJX6hE7kLh6t2ayl0Y+OpdL0LyRoKyXwkNHz6cESNExaCgcZF6Vzmh71oz7PZ9GL4urFkEz/4GelfA6vnQsS4AstENIR83AeCzZ5An7uhU2gJ9rROJbXIo8to7Qs9y56OfzSMw2yeRJPdixZI1+sZvh3bqk8g9S8FKYbeshdE0GksREQuC6BBTFTS1suB9ucL9BjtiLhU0OutsuQ3avGecO+vvA1sc5dx+55/w0eNoc59hypb7MOeZRxi78RY0L34l9FjygpeZuOe3Mvffue8WjN4evnrBTUhGFyS6oHkEhq1zwyE7YqxenRmrk+Rf5x7H9ieexYZfuQPF6sNSmpj31ixeOfdokmucse71TNIip0o3l6DYBf/6/CpdgJRhOs1Y0vettMAtWKULWXGbHlNq1EKmUtdLiNwFgqt3K41lKGV7o8vdOiDrMeRiHdDD9rVrdAE+CBHzqaDh6VzgRAU1jYDdfghtY2HFp84nOJPdjlhtXwsAqW+NE8MQxuL3kIZPxE7PY92tw2ja5iTkqV9zPomq6NA0gmT7OAySOdOdoapY6+5C/DtPI3UvB2ys5pH0NreRsB2RqkjOc1iQ1K2kSheCRW41WbrFcKt0Xdxq3Zwx/SB3IUDwNqrcdfFK3jp+SCKmqOhqZfO+rAwe4Vz2T+AXv/gFF110EbfeeivNzc3FdxAIooaqw45nORees/4Kcx6F4evAsf+CBf+DmDdrSHEumNx3Mn1ILWvlFe0m1HboaIeO9Yueio1EsmUctIwrOlYgEAwexFwqaHR6urqwp6yD9NU/wOJ34Y2/OVWxWxwJe10Iz15B77wuABLda0jpw8NfdMY66OvpyVn14aP/5MNH/1n0PJIm6MkEL954BS/eeEXONl3OTtDealxvla67rViVrvM1uEGaaZgoXrmbFruB5FTpJsIrdculFnIX6tdULaDpWT2bqjWC3BXUBjGfChoevRUOuAwmbuc0PXv/Uxi9GZzymNMAzfspCrXI82HTiLy3I3vjcYjHoWO0Z63zPKtICqbnzSJTsulubodmp8+Ls81GkZx4BRfvfu62IKFrBDRJK/rjqFGVrrdCV9UUUka+uPSLXShd7jpjUxXLXSiherfR5a6grpT0SmfrrbfOyR/6+OOPGTNmDFOmTEHTcv8oX3/99dqeoUBQY8zWccjr7w1/2St7wTD/Vaea6NA/YbdPzIxNNa2FvNVxSP/7S/6BJBl7vT1FHIJAICgJMZcKBhNvP3Ife/7rcaT7T4cvZmU3fP4cjN8G6/AbeOtIJ4N+/hsv0Xv+j4hzbeCx+qYezav3/4tEWrLGQj69F4Z7bZN3zWM5f29+qeut0nW252fpFqrSzebr5l/01DRLt9Qq3VIpUI1bttyFSDdV88tdEIJ3MCHmU8Fgwm6dAE0j4aZ9stF+81+FN2+Do+/CastG9ZlNw5DW3RMpqEeL3goj1yN/3iqMt9o2aJtX2jrjUnn7udsoc/725+f6RW5M0YmZ9avS9VOO3IVgWeuXu+5xg8a7+7iULXchuk3VBHWnpFc1hx12WJ1PozpM08Y0nSctRRGh94LCKH0r4YFz8i8ObBse/h7y6c9BuqmZqcSwdpmBPP9lpMXvZsdKMvbX/oLRnJuDKxAIBGFEfS4VCMphwubbIs19MVfkunz5OtLnzzFhi+3oXDgf2zR56d5/sseeF9P83M9zhprjp7F8xE589Gw2yz5hlS90obDUDavSdbYXztJ18F4c58YuFMQwUbXgLF0ZIJkIztJNJrLRC5WgN4V+qihDAWFbc7lbynYRzSAoETGfCgYTcqoLHp6R36PFNODBc5BPfAh0p6o2FWtG+coVSLce6kQDuqgxrKP/gdE6EkWWMYM+DVGEMKnrr94NkrqFqnRLxS9ydUUjGZJhXqxKN66qgY3SakG5chcikrtbC7kLQvBGiJJexVx88cX1Po+aIaSuoBiSm4sbhNEDqxdA+3qZVYmW8ejH3I28fA7SJ09ht42B9ffDaBmLqYZ/nCuspkcgEAxNGmEujclZiZYYPJFSgjqwwzeOQXrrT6HbpTdvZ4cjzuGDx+4B4H/33IZtH8uOR/yT+OKXUZJr6Bu7HV9+uYr7zzkh7yLWFboto8bSNGwknYvmk+zqLOnckmbpVbqQjV4Iil2A/OgFz3dJWHM00zBJacFVugBWMoGsJ5F1PbdK10gEV+RWW6UbdbkbJGOF3BWE0AjzqUBQMp1fOv1cgli9wLl29UQkJDrGoZ/yH6RF7yLNexlGrIu9zm4YraOwZGfOUdLPZ16pKyNjp/8rRJDUDV6Xlbr+Kl1vc7Sw6AV3mybnP1/7K3ZdysnSzezja5BWDsmkEVhpmzMmQO5CAzRV88tdENW7DUbZr1rWXXddXnvtNUaOHJmzftWqVWyzzTZ8+umnNTu5anClLgixK/Dhf9fTT8A7mcnmsdA8Fnnt3ZwhBQ6hJVehdC9Bmv8yKBr2xO0xmkdjaq3hOwkEgiFFI8yl3spIIXYFfiRJCs5BdbEtZCX3Bf+se2/n9fv/wbip09DiTSz56DZ6V60I3H3Mxlvy1e/9hDZWo3QtJDV8A5Ys7eThS39C3+rgfbwECV3Ir9KFrLz1xy5AeJWum6VbUZVuOjc3d5snSzfvpKus0q2GkNzdkuVuejxQ+1gGqEvublBEgyC6NMJ8KhAUxC7yIivv2tUm2ToSaf09kNbfs6ig1RM9qGuWwoJXId6BPWEbks3DMJXCKshfkRu+Ts2r0g1rjlYIw0qihzxX64oWmqULTqVuUJVus6rmRS94s3TLpVS56z6Ol8jLXcgVvKWIXRBydwApW+Z+/vnnmGb+P1AikWDBggU1OalaI8SuwIvdPAKpdQx0Lc7fqMZg2Dqh+xaSuABa3zLU536D9OqfM+skSULb91dIWx5LSu+o9LQFggFDU2R0tYLPPAMoFe43yGm0uVRU6wr8zHr4ASYefhTSF8F5lPYWRzLrwX/nr7csvnzntYLHHr3BZhxz8c9pe/QM6FudWd82aiOOveZv3Hb6USR7QqqYPFSTpVusSjcoSzesSheqzNINqsittlJXa4Jkb+ExZTRV88td6IemalB57m4JcrfWyJqOHPQOQyn7WuLiOIxGm08Fgjw6JoY33G4djd08Mn89FJW4ppUi3tuF8vAPkGY/nN0gq8SO+AuJdXfDLCImw4Qu1KZKtxRKqdJN+CSuG7Pgj1qopko3iFLkLpTeVC1M7kJ47m4huQtVNFWrtnJXrp93i6sKegk/9yBkdfDMpyX/BB544IHM7ccee4yOjqyUMk2TmTNnss464RIsKogYBgF6K/Z+v0S67zv574Tu/mNspfRsHy8SoCx4NUfkAmDbyI//BHXtHUiN2aaycxYIBIOCRp9LRbWuwOXLd16DGT+EtTaCpbNzN47aANbdgy/e/XPwzkX4yvkX0Pb42TkiF0BaNpvh79/I9CNP4cW//qHk4xWq0oWs1C3UHA3yq3Td2IXgKl0oWKlbIEs3p0rXX8Ebejyf3DV6HWFbS8qQu0D9m6o1uNwVVEejz6cCgYut6Eh7/h888dPcDZKEve8vKnouN60UMjLyu/fmilwAK4V89ynEznyFno4xRY9VKEvXv76UKt1aEFal62bpJgLkb1CVbn9QTlO1Qg3Swqp3I99UTVA3Spa5btC8JEmceOKJOds0TWPKlClcccUVNT25UklZNql0yaRa4jsAolp36CJ1LUH68CE4+h/w+m2w5H0YPgW2OQHmvYy0ZiG0Tir7uGpiJfLz4X8D0qs3oHzlWkypNpOYQCBoPKI8l5aLELtDm33O+jE8cznsfREsfBs+eBCwYeOvwPit4enL2fe7P+SO804o67htbW20N1nQszxwu/Lpf9n4gNvKkrkQXqULudELQc3RICt1vVW64en4pUcvuC/ErbTALVqlm4w7+bdQXvyCX+4me7PHAUcEG0UqdfNOfpDKXSu44Y4gWgym+VQwtJHWLIbV8+Abt8Lrf4OVn8HoTWCbE5DeuhPGbAbNbSUfz83J1XtWIb94TfAg24L3/4280xlYdmlCLqhKN2i9X+gCBaMXyqnShWCRW0qWblBDNH+lrqqppKqo3DWMFHrQm7TeMWXIXRiETdUENaNkmWtZzivXddZZh9dee41Ro0bV7aSqIeX5HHy5YldI3f5BArSeRci9KwEbq2kERvPY/msUZvTA+/+Gj2fCZkfA1sc5kQsPf8+5eFxvz4oOK5lJ6F4avr3zS2eMKmSuQDBUifpcqivZ12+FIrX8CLHb/6ixONsfeQqb77UPCikMW+X1h//NrPv+jh3wkeNa09rRjjT3E7jzWJi0PUw9zNnwyZPw7G+RxmxGy9rtZR0zJoPe0uY0ewnDtpHsymVbqVm63ipdZ3u5VbqQjV7Ib46meC/kDBNVCzgpKK9Kt5psXb/crTf1aKpWSe6uaHrWsER9PhU0DpINWvdypN5VIKlYzcNJNXcUbRRWM/pWwas3wrv3OtemU3aGVfPgnm9BYg3s8N2SDmP6n99sC7qXhI6XVs1Dojz/UYnQ9W/3Ri8Uao5WKsWqdIOydL2EiV4YnHI36ft+6iZ3RdJe3Sn7Fcxnn31Wj/OoCm+VrRdRrRs9ZDOBvmgW8v1nwKq5zrphayMf+keS47bDUiq8CCmHpmHprLgueP3W/O0da1d0WFNvR1l7J6RV8wK3W+vtjaX244WSQCCILFGcS/1UInVB5Ov2B2q8iZP+eDtj5t6J8ugJzgWborHvVt9gk91v4e/nnVR3oTv3vXcZt/aOSIvehvmvOIsHe9IOzH3v3ZKP5/7e9KxYgtkxOXxgfBh9vdV9TLLULN1qqnRzoxdqnKVrJLJi1x+v4JWyfrlbbc5uMfSm/MzHKnJ3q26qVsp20eys4WmE+VQQXZRkH9rnLyA9/D3ocsSnvNZGyIffQHL0BthSPziBjonO157l4I/rU+PQNLzoIfJELmCpMewJ2yIteDVwH3u9vbGKNV8LoNTYBW8lrn+7uy1M+IVJXX9+rl/kxhSdmFm8SjcekKfr3V6q3PU3U6umuVohail3q45lgPKaqgnqRtky9w9/CP5YmyRJxONx1l9/fXbbbTcUJaTCoE6k0iJWDZCwolo3Ouidc5FvOxRMz7tjq+Yh33Y4+unP0zd847qfgxUfgbz96UjP/z5vm73JIdh66R9j8WKqTdi7nI/03r35Fw/xYTD1cCzxFpVAICC6c2kQ3tdrolo3Gux9xg8YM+dGlM+fya40DbR37mDiVIvtvnkyr/zjL3U9h+du+QM73P8UvPl3SHbnbtSaYbvTePGIfYseJ+abFq1Uis/ffpfNp+yG8vmzeeP7pp3OS/+4pYozz1JI6vqrdCG/QVpYla6DHZKlW+SPqNQs3Ryhmwiv2i1UcZuXs1tn2Qv931StXLkLQvA2GI00nwqih7bsY6S7js9duXQ28i1fQT/9ORIlZMpWi623wNSvOdeQ/m3bfRs7Pqzg/kEiF8CINaPuewnSLQeC7St+65iEPWFrbCp/gVZI6oY1R/NvD6rSLRW/yNUVjaQZXIEbVKXrlbaFBG6hbcWoRO6W2lQtiHKaqlUaywBVNFUT1JSyf0t+//vfs3TpUnp6ehg+3HmXaOXKlTQ3N9Pa2sqSJUtYd911eeqpp5g0qfzc0WpJeaprC4ldUa3b/yhWAumV63JFrouVQnrxWpQDfoep1PdCQu5djrThAaC3wkvXQu9K0Ftg6xOQtj4WEqugdWJFx052rIN+8iPID50Pi94GwJ6yC/ZBV5Boq6ziVyAQDD6iOpdqso2elmtulaIXIXajwYbTt0V54HeB27QP7mbrA26tu8zd+4wfw+cvwQkPwKM/hgWvORsmTIMDLod5L7HHGT/koV/MCD2GX+S6zPzDLxn9h7+zVvvaaO/f7VR7tqxF77Tv8uG8JJ++8ERNv5eg6AV/lS7kN0hz/1b8VbpZqRuUpZut0jUME83z0cpyqnSdk0g4YhdqI3f9VCt3tSbn8QpR79zdWshdQaSJ6nwqiD5qogee/GXwxmQXvP8A8o7fwapCeJaC1LcaadcZ0DbW+dRostupxt3hu0jr7A69K6CpOXDfMJELYGOTXGt99GPvQX7kB7D8E5Bk7A0PwN7/l/S1DCd/niqfoOiFsOZozrpUXpWutzlaoegF53b+87S/YtelnCzdQnLX2zzNv82fu1trguRuNU3VwuSue1woLHehwqZqgppTdpngpZdeyrbbbstHH33E8uXLWb58OXPmzGH77bfn6quvZt68eYwdO5bzzz+/rONefvnlSJLEeeedV+4pYZhWZvGSMu0cuZuzLd00zVu1WwzTtDOLoHxkowfpy9dDt0sL30A2ukO3l4IEaL1LiHV/iZZcGZwC1Lcabt7feYfypIfhO8/Ct/7rdOT+8x6wekHFj2/JOokx0zCOvQ/rrFlYZ79B6ht/p2/4RthlZhIJBFEhpilVLYJ86jWXQnXzqRddtnNEVt52pbLXajE5XOIJiqPGm1ASK8MHWCk0qmvgpDe3suOx3+G439/ENy+9lnV2zM+SH7fuekizbob//AD2vxROf8FZDrgcHv0x0ms3Mm7ddUMfo9DvQCrRx+1nHsXjr6zmy93/yJL9/srnW1zEfbc+xOO//Wn4jlUQ9uaE/02NhJmtyE1a2egF7/o+K72YUnpJrzfz1xmGSSppkuhOYhomKcMiZZikDBMraZDq7sIyEliJBFYygZVMkupe46wzEpjdndjJhLN0dzoi10hAj/f2akfMukuyN7t0rXLiGNzFO86/9Kx0mqS5S9K35O3Tm7tA/j6pvtwFHLnrXcCRtd4ljW0mcpYMIeMxk/mLl6B1NULWdKfJXUWLkMxhRPHaVNAYyEYf0uLwOCB53otIVTZElG0JrXsletdylGRf8KA1i5xr0FEbONek33kWTvqPk+l9835Opm4AhUSuS0rT6Z28HcaJD2Ce9Srm2f8jeegf6GkbVdNMYEVSMoLWvz5/nZq3XZHUzHpN1tBkDTW9uCLXXe8sOpqsoys6upxe3NuKhi7rtGmtTkWuqhNXYsRUjZii06630hFrIa5qxFWNYfEmJ3pBVRkWjwfejqsqzZ5lhG9bTMsuLc1xVE3NLFqRRdWUnMW/Xde1vEVT1ZwFQNeUnAXIO5YzTs1ZvAQdt9g+4Mhd71JvYp6ffblLrMKq5yhS9ndy4YUXcs8997Deeutl1q2//vr87ne/44gjjuDTTz/lN7/5DUcccUTJx3zttde44YYb2GKLLco9HSA3RsEVupqSvUootVoXRAxDPbHUOPbwdZAWvhW43R4+BbuKTFm9bxnKJzORnvstdH6JPG5LlL1/hrHWVEytNTsw1gLbfguGT4YHzoIlH8KwtZ11e/4ftIyu+BzAeX/TiI/EiI+s6jgCgWDwUo+5FKqfT2OKsyQ8YssrdEW17sCTSvRhxQo3FjMDqlZKZdJWO3D4jy+i7d2bUF6/AGKtTD7imyw/5Uz+fu5JJHu6AFi1bCnjxm+DtOlXne7bHz7kHGDjg2HP/8N+/35WLV0W+BilyHwrleLdh+7i3Yfuqvh7KZdCzdGgvCpd8EcvFK7S9eNU6TqN0YKqdK1kIlOpayWTyHr63zwdxeA+QoZClbveClx/5W6hpmp5MQ29TjVuZl/fsWoV4xBUuQu1a6omaCiieG0qaAxsRXN6pfQEN920R22ELWtQYWWu3r0a6f37kV/6E/QsR56yM+peP8UYORlL8cQJNI+EPS5wCo3uPgVWzoW1NoYdToftvg2x/AjAUkRu5vvAItHUBk2VRQmWQzlVuoViF4Ci0QthVboQ3BTNX6UbU3QS6ed/7+24qpUdxeCt3PXjr9yNWlO1Qhm6pebuBlXu+pM9BLWnbJm7cOFCUgG/qKlUikWLFgEwfvx41qxZU9Lxurq6OPbYY7nxxhv55S9DPuZQAn4h663SrUTsihiG2mMqTdg7nYP0/v2B2+2dzyelBn+EpBhqshPlud8geULjpXkvIf11f7Sj7sBe70Cs9GWN1bwW8uhNkO49LXuApR/Cf74PO5yJ3bJWRecgEAgEpVLruRRqN59CVkZBsNgNkrpQfdM0EGK3KLbNF598zrDRm8CSD/I2W+vswYcvvVjRoWNtHXztxz+l48HjslWSyS6aXvsD48duzdd+9jvu/OHpADx+1S/Y5K5H4G+HwpqF2YO88Xf4+L9wwgM8fvTB+Y8R8arssBxdCM7SDWuOBvlZunHFps/0N0eDQlI3Q0CWrit2w/fJil3nJENiGfL2KyBdC8ndehDUVC2Iapuq5cjd6irxBP1LVK9NBdEn1dSOvPsPke88Jn+jJGNvfWzFEQtabyfyg+ciffR49pAfPYH0yVPopzxKYtzUTGWs3TIKKdEJT/4ie4AvX4d7v4194G+wmnILhMoRuQNBkNB110Nwg7Sg5mje6IVyCBK5QesAYqpGIlX6c34hueu975e75TRVK5day12oTVO1RKLMiwFB2ZT9knrPPffkO9/5Dm+88UZm3RtvvMEZZ5zBXnvtBcA777zDOuusU9LxzjzzTA4++GD22Wefck8lQ8qycyIV/PEJ/R3DIAgnNXwD7K9ek/uiWdGxv3IVqREbVnxctXdJjsj1Iv/n+6g9izL3pcQapLB8pFevRwrJ1BEIBIJaUeu5FGozn+pydnFxq3Vzx9kFYxjcCAYRw1AfHv3DZazY8RIYlTtvWuO2YdmmZ/D8LX+q6Ljbfv0EWt/6c6A8kxe9wdiRcVrXGgvAxvscCh88lCtyXdYsgvcfYNP9DstZ3Uj/roViF7xvZnjjFZztudELEBy7kLtk17uxC6mkmRe7kBe9YCRIdXViJRKk1nSmYxgSpLrWYCWTeZEMlpHIRjIUimXwRzN0r/TFI3hiGbp9EQ49qwpHLZQbzeAfD1VFM5QdyyCIPFG8NhU0BjY21sTp2Lv/GGTPCxa9BfvIv2O0j6342PLqL3NEbgYrBY/8CLU3++aClErAS38MPI701KXIya7M/aiLXJew2AV3W+793NiFsOgFIFOlmxu5kI1e0BVv3ILztVVryUQvuLELHbE24kosG7+garTHWtKN0pwoBve2N5LBWbIf2fdHMXiXEfF4TjSDd1tHUzwnmsEby9DUHM+JRmj23W9qjuXEMjQ1x4pGM/jjEzRVzYtl0AMiHopFM4TFMrj7COpL2T/hm266ieOPP55p06ahac4fUyqVYu+99+amm24CoLW1lSuuuKLose68805ef/11XnvttZIeO5FIkEhkX2B1dnYCYFoWKctCleVQOetW2lYTwyCqdasnpbdhT/062jq7w8rPARuGr4PRtBZmgYgFBRuwsNK38gioTsrQ+SVy3ypoHgeA1LvcaXoWhGXCys+gY/28TRIgY6b/L/5dBQJB5dRyLoXazae6nI1ZyDZCc74Wq9Z1xooYhv6ge9li/nrOKRw046eM22Eccu9yzJbRzP1gNo9999hMFIKf8ZtNZ9S6G9K9Yhmfvfwklq9KZP1td0B57tbQx21e+Bzjpm7DR0//h8122wPp/d+HjpU+eICpu/yQl/56NZD999SaW5iy4z5o8SYWvjuLlXM/KvO77z/CYhegcJWus720Kl0Xp1rXjV7I/UMxDRPFnz9uOBEMXixPJa63ajc0kgFfVYe3ctdPTkyDr3K3UFO1WkUrhBFUuVtGU7XQyl1BwxDFa1NB42A0tWLt+B3ULb8JKz51nj86JmG0jMBSwt+RlpGRbBtLIi97VkKGT58K3Vf6YhZyshua0jGAq+Y5kjeIvlXQsxyGjc0TubKkIFs2tixnogmiRqEq3bDmaP7t3gZp/uZo5eJK3aSVzEQrxFSdRCodsaDEsjEMnqrdsEgGCI9l8FPptnpQSlO1pOH8/CttqmabEiLEqL6ULXPHjh3LE088wYcffsicOXMA2Gijjdhoo40yY/bcM79Rhp/58+dz7rnn8sQTTxCPl/Yi77LLLuPnP/953vpsRWz2as8rdlVFKjuGodbZuiDEroupNGG2rQ1taxcdqyVWoqyei/T6rUg9y7Cmfg174vYkWsbnDtRbCh/I+2RfrFOxTypLgN79BfLnzyPNfgi7dSz2NieSap9ESu8o+j0IBAKBn1rNpVDb+TSeng79lbgufrHr/wSViGHoP7qXLeZfPzkLWVXRW9pIdHVim8E/2FHrbcLXL76c1pVv07ziHZJNG9P93bN59vZbeevhuzPjUsmEM5/2rQ48jqW2YCadixwjaYBWIBpJb8Yw0hdB6X+/3b7zfTbdaQda5j2CanTRddDZrLRHcv9F59GzYmkFP4X6Uyx2AbK/915x62xP7ytnZW9f5vfX2dcvdUvL0vWVOAeI3UIUkrs50Qylyl0/5cjdesteKFvu+gWvINpE8dpU0FiYWgyzYyx0FK/E1Xo6kVd8hjTrFkglsLc6BnvsVJItw3PGSYWy7WUVJM/zeLGeMYqWI3IlWyLevRx5zuNInz2LPWJd7K2OIdm2Fim1fMFZb0qNXXDW5Wbputu9QteLK3WNCuWuS46s9cjdUsb7KSR3S83g9W/z5+7WmiC5GziuxNxdf4auoD5UXPu88cYbs/HGG1f8wLNmzWLJkiVss802mXWmafLss89y7bXXkkgkUHzvhl1wwQXMmDEjc7+zs5NJkyblxSEoikTKcl4t+6t1vWK3FtW63uMUQzRNKw81sQrl1euRn/11Zp38wYMwcj3ix/2bvtaJ2cEj1nOabrjdkr1M2AaraUTmrh0fhjRqQ1g2J39sfBi054ri2Jq5yLd+BVbPB5zLLOm1G1H3uxR7y+Mw9cKNaAQCgSCMaudSqO18GlNsFCk7R/VZueLWG7+QtPq/WheE2PVjpVL0rQ75tAnQutZYjvnV7xj26Lczn0rRAf3Nm9nnsN/Su6aTOc86HwV9/T8PMOWAY5FfCY5psDY5lLkX3QDAs7dez+QZ30ae+0Lw2G1O5tk//Dnz77XLt85j6ykm8YdOyJ7bBw/SOnI9jrrqr9xyymF5lcJRotwsXchvkBZWpetgh2TplvkHEiJ2LX9+rnebR+7mH6+A3C3UVM1LIbmb93gRkLuiIVpDEqVrU8HgROvpRHniZ0hv35lZJ71/P/bE7dG/eXNG6NpYsM7uocexpx5OqilbEGS3jUZqGh78ydGR62M3ZUWxhETTqgXIfz0oM14CpJeuRf/6zdjr7Y5ZoKJ4oAgSt95tpVTp+rN0CzVHc9FkHSMgK9dFVzSSBXLSw6p2nW3Blbt+vHI3f1u43C2nqVqtKaVyFwrLXduC7rqdoQAqkLmmaXLLLbcwc+ZMlixZgmXlXkk9+eSTJR1n77335p133slZd/LJJ7Pxxhvzox/9KG+yBIjFYsQCGj242bcp087I2qxgrV21rrtf3uOLGIa6oHZ9kSNyMyz/BOmla1H2viTTsduWVTjwN/DQeU5UgkvTcNj7Z9ieH3OydW1ih1+P9LdDIeFphqBo2F+7kaRHEiupHqSnfpURuV7kx3+CtsF+QuYKBj26KhNTKwy7rHS/QU6t5lKo7XwaV0CRnDmqz5Qylbp9AeK23BiGYtW6ULnYFVI3nF1OOJ2OVy7Pv0i0LVqe/gl7nnJzRuZKsgxTD4dPZ8LS2bnjdzgDW40jpWX/3Fefobv5Ulo32B/po8dyD73+vvS0rseXr8wEQNFjTN19D+IPBDSZWf4JHXMfZON9DuX9R++pzTddR8KiF/xVupDfIM39m/FX6Walrj9IKrdK1zBMNM+FVGD8gpcCFbt+uRsWy5B/zNz9JN+2ULnrlbR+uVuoqVpeJW+v8+Z9Zt8yRHEYfrlbp8pcSY8h6ZXV0UhW9ORMVIjitalgMCIhL52dI3IzWxa8gvzBf5CmHYedfg1lyyrSXheCv09LxyTY9rScVUb7GPQj/oL0j6NyGzDG2rAPv4G+1lG4b+xpiW6kf58dOKfL930H/bsv09uW2zAtSoRJ3WqqdP3RC2FVurqik0wLV+/t7Pas2A1vmBZetVtI7nrvlyp3/ZQjd6ttqlYKxeSuVeZr+nKIp3OOK0FSB89FQ9mvKM4991xuueUWDj74YDbbbLPMi/pyaWtrY7PNNstZ19LSwsiRI/PWFyNhmMQzE3chceD9h8uOK1StC/0TwyCkbi6yBNK794Zul968DXXnczHdHNylH8KcR+HoO+GTp6DzSxi7OYyZCo/8AOWbt2PoTnWuBSRGb0HstKdg9n+Qvngde+T6sPk3MFonZAQxgNq3Aum98PPg4yeQt12fMvrkCQQCQc3mUqjtfOrIXPe29+PfpVfrQnAMQ7FqXRAxDPVgyuabIz3ym+CNqQRNyaU0j1iLnhVL2ebAryLfeyrsdSEku+GzZyHWBhvsB/NfRXnnLtaetgufvvhfAK45cl/OuO0hOrb7NtI7/wLbwt78m6wxm7n56P0yDzNx651oWvBM6DnqH97LFgf+riFkLhTP0oXc6IWw2AUIz9INrtKFsEpdr9gNjGKAPLlrJQ3kkA7YheRuTjRDqXI371wKVOAWkrsCgY8oXpsKBh+KlUJ69cbQ7dJrN6Ju+lWM5nYkZKSPn4BV851r04+egN4VMGk7aBuPdM+pqCc9hKmtBYAlyxgTp6F953l49x6kZXOwx28FGx9MX9sYLM/zvtLXifTF/4JPIpVAWjYbqW3nvBzfqFFq9EKpVbp+jDLiF4LEbs72ELELpcvdvG0F5G6hal3v/UJy10+1ctcwUughrxcyY3xy1wrpZSWoHWXL3DvvvJN//vOfHHTQQfU4n4pIWJanetZ5pZyyspW4fvEaFsMQVK0LomnagOGtmvVj9ILtuWI3euDDh2H2IzBlF2geBR88AE/+wtlu5T6RWqj0dqyPsv05yFhYyAQ+39hmeCB9sXMUCAQV8cc//pHf/va3LFq0iC233JJrrrmG7bbbruh+d955J0cffTSHHnoo999/f2Z9V1cXP/7xj7n//vtZvnw566yzDueccw6nn356Hb+L4ucatbkUIKbYtKrej3675Ffr+olC0zQQYtePVKQ0Qkr1oGiOmFM03Xkz9N5vw/ApMH5r6Fri3Dd6kLc4BsWTr5rq7eGar+/FiMkbsPU3TgVs3p9xPis+y63qVTQd2ewJPwmjF1UvkmcfMQoJXciNXgiLXfBuy+KXt9n12TdYalfu4r0QKFXu5m0rIHdzohnyqnULNFXz4pe79Y5iiG7aR9mI+VQgqBGWhWQUnsfwyEk72YX0+q3w1j9gnd2cN0b/dzMsSzf9tHNfoJiajjlyEsru30fGJmVbpOx8ESgVui4FSBY4x4gRJnSDtvmrdINkb7HoBUfsFn6tUUzsQnlyN6yhGhRuqual1Gxdv9wttJ9f7mqailHjSt7EIJpMozqXli1zdV1n/fXXL3e3knj66acr2q/bSKEZBrqspCsg3Cu54GrdsBiGqFXrwtAVu5YN9qaHIL3258Dt9gb7YWpt2RWjNwVJcibGz57NHdw+ASs+LPA4pg1mgWpuS29HnrQ90vxXggesv4+oyhUIashdd93FjBkzuP7669l+++256qqr2H///Zk9ezajR48O3e/zzz/n+9//PrvuumvethkzZvDkk0/y97//nSlTpvD444/z3e9+l/Hjx3PIIYfU89sJpZ5zKVQ+n8YVZ8mKJCmz3qkWzFbrFoph8BKFGAYYumJ35bIVrDVsbadbdgDGsA3oWroQgI9feZEJ6+yN8sljsPJzZ/HQM25XvnznB3nHWDH3I2b+7sc5P28vC9+bRe/Jx6G9dVvgdnPdvfj01ZdK/p6iQjlCF8KrdL3byqvShXLFbmjVbppK5W6hpmo5j1ZqUzW/sC2nqVq1DJLIXDGfVk+lc6lg8GGpOvbm30T6JDi2w97kEMx0Dq6NBevuBTN/4WRwf/zf3LETt8WKBTfvNkmRLCBsrVgbcoE5nbGbR74q10sxoQvBVbpB2/xVurVqjlYMv9wtKGZ9ubteai13y9nmxy93K5G9ljo4ZG6U59Kywwy/973vcfXVV2Pb0XmSSJoWXckUXYZB0jJZYxgkTCubpWtZpCyLPsP0rHMW07Qz8tQdB7k5vO5Yr5g1TCtH7vr3CcJ/jFLwnt9Qwxq5IfbknfI3qHHsvX9GypNVm2paC3v7M4KPc/CVGM3Fu5MGkYoNxz7wN6DkTwD2hvtjdqxd0XEFAkEwV155Jaeddhonn3wym266Kddffz3Nzc3cfPPNofuYpsmxxx7Lz3/+c9Zdd9287S+++CInnngie+yxB1OmTOHb3/42W265Ja+++mo9v5WCRHEuBYg362iaQltcIa7AMN0mrrgLvsWzTSazgCOlXGmly9nFxbvdRZftzBKGrhSWZ4WIydllKPHUzdfRtcOPnTc8fSQ2O5a3Zz6GnX7t89o9t7Fmi9NyM0nTmOOns3BJD93Ll5R9Dr0rl7FoUSfmhG3zN2pNdG/xHWbdfWvZx40Cxd5g8L9JkTBz38xIWlmx667vs9KLKaUXfIsUuM0wzMySSjpLojuJaZg5S8qwMktfj0HKMDNLX08y576VNDJLqrsLy0hkllRXJ1YikV2S2SXVtQYrmcRKJkl1r8nZz+zuxE4mnKW705G4QUvPakfUukuyN7t0rXIqdt3FO65nle/+Sqdqzl2SvsU71uiDVF/Nfj8GEjGfCgS1w8bGWmcXGBnwxkHzCOztTsOSsy8wrI7x2BsemD9W0bAP/DVGvC1/G2AWqbxNNg/HOuh3gXO6vd23MTyN1RoFV8yWut2Vuu42d7siqZltmqyhphctdNEzi654Fjm9BK1LL61aC7qiZRff9piSXdpjrcRUPbPElVhm6Yi1Ekvnv8ZULXc/vTVzuyPWQlzVMsuweBNxVSWuqgyLxzO3/fdHxOM0q2pm8Y7raIoT09TM0tIcR9XUzKIVWVRNyVnyxlSYER81ojyXlv0Tfv7553nqqad45JFHmDp1KpqWK7nuvbdAvmid6DJSKJZFwrKImTK6IpM0LZKWXLRadyCapolq3dJINo0m9rWbkd67G/nVP0NfJ/b6+2Dv9kOSHbl/FCm9HXnnGcgTpiM/91tY/QX2uC2x974YY+Qm2FT2M7OB5MhN0L/9LNJTv0L6/DloGoG9w5lYm3wVIz6qBt+pQCAASCaTzJo1iwsuuCCzTpZl9tlnH156Kbxq75JLLmH06NGceuqpPPfcc3nbd9ppJx544AFOOeUUxo8fz9NPP82cOXP4/e9/X5fvoxSiOJcCKJpCTFMxDRNVV0glTbKVf8485FQJSp5qwey2WjdNc8bWNoYBhlbjtMUfvsWT9/6HPY76G61v3YC8+B1oG0f31BP4bInNszdnO7Enujq559KLOeInt9H6/t9Q5zqZub0bfYNlrVtw7/knhz5OMUn+4C++z5FX/pWRE3el6cN/QWINqbV3pXuzE3no15eQWLO6Vt9yv+P+Dpaaowvh0Qve6t2gKt18vH8flVfshpHyN1Ero6lazrZSm6r5K3cLNVXzUk4jtGKVvEbjv84W82mWgZpPBYOPZOsIYsffh/T635DeuA1SCeyph2HvdDbJ9twKPaOpDemrVyJ/uA/SS3+EnuXYU3bB3uMnGCMmkR+lUxoWFsmJ26Cf8jjSk79AWvgWtI3D2vV7mOvsgqHXMYKmjhSq0A3aHpal624rJXahlhSKXvBTTuVuoaZqOfuV2FTNX51bTlO1ctHUxpe5UZ9Ly/4JDxs2jMMPP7zc3epKwrRYk0hluq0nLIuY7AhdXbEcuWuZOWI3ZZoeyVq8aZpX6kLhGAav1AXRNM2PBKiJ5Sh9qwAwY8NIxUcGTmmJ5rHI234XdbNvgG1h6h2YanPgcZPxUUgbfw118q5IVgpba8LQh1V9vpas0zdiE9RDrkdOrgFZIdW0FlaFglggGIp0dnbm3A/qAL1s2TJM02TMmDE568eMGcOHH34YeNznn3+em266iTfffDP0sa+55hq+/e1vM3HiRFRVRZZlbrzxRnbbbbfKvpkaEMW5FCDepKFKzsewU4aFoimo6So/TXMq/xxyYxgy+9e4aRqIGIYwJEVhs/0PZ9tDj0DXFPp6k7z4z9uZ88wjeWPffPCfzHnhKbb/5omM2/zrrFmxnJevvJGlH72XN/aLt1/jupO/ztaHHs160y8m2dPLa/+4m3n/+2XeWJdSqp1Tfb3c/t2jmLjNzkw79Ay0piY+f/013vr9NzB6usv63qNKubELkB+9ENQczcGNPMn+jXnfUHHfZAkak/27rQNlyN1CTdVyj1liU7W8DF6PpPXL3UJN1fxytyf4I7BRoJS5FMR8KhCUg4SE2rMKua8TZBWzqYNULPh6M9E2EnnX81CnnQTYmE0dmErwc2CyuQNpm2NRNz4QybIw9RbMAs0di1XluqQ0HXPsxmhf/wuykcBWVIx4GxYN9kLGhz86IWi7f5s/S9fd3x+74ErdoOiF/NvVZ/j75a6uaCRNI3C7X9KW2lQtb78CTdW8FIpbKEfuFmuqZoa8NogKg+HatGyZ+9e//rXcXerOyp4UUsx58kqkLGKqK3Kdqwv3tnedQ+Fq3VzqW60LQ6Npmmyb6MvfR37wHPjyDWfduK1Qvno1yZFTseT8X0kLmWTTmLz1QdiA0bRWLU85Q0prBa21LscWCKJMXJOJFchYLISU3m/SpEk56y+++GJ+9rOfVXVea9as4fjjj+fGG29k1KjwKvlrrrmGl19+mQceeIDJkyfz7LPPcuaZZzJ+/Hj22Wefqs6hUqI4lwJoLTHimJlqPOerjKIpgdW6uZmeA9s0DbIirZpqXYi+2JVVleOuuoXxnS+hP3eW89HxWDujDzmZzw74Kv/6yZng+8hxz4qlPHX970o6vtHbw6t33sSrd95U83Nf8PoLLHj9hZoft1EoVqXrzdL1S123Shf8b5z4CavWHVi566eQ3C3UVC1U7uadSxlN1fzHrAdqDLQKK5VSzs+0HnMpiPlUMHSRUwbawneRHzofls0BQJq8C8pXriQ5YlJg/qwlSyRbh5d0fBsLo3lYLU85fVybpB6HTCVuxF+4lEE5ObrOuuAq3XKaow005TRVy92W21QtZ1sBuVuoWtdLIbnrxy93zUrnuxKIpaMsKiL9+mswXJtW9BNOpVI8/fTTfPLJJxxzzDG0tbXx5Zdf0t7eTmtr/8uuRMqmJ2nRk7Ro1mX6UhZxVSaRskiqTuxCPap1/eOi0DQt6lJX75yLfPN+zoWny8I3kW/eH/30F+jrWG/gTk4gENSN+fPn096ezbkOqiQaNWoUiqKwePHinPWLFy9m7Nj83OtPPvmEzz//nK9+9auZdVY6+1NVVWbPns348eP5yU9+wn333cfBBx8MwBZbbMGbb77J7373uwG7+ITozaUAshpDlg10XcNKGhmhCwRW6zoEV+v2R9M0Z2z9YhggmmJ392+dx4TFD6DNeSi7MtFJ/NWrWXfr09j60KN54/47+uVchloGcTGKVedmxoVIXX+Vrne9W6Xrl7rgr9D13s7+fQQJ4P6Wu+U0VcvZVkDu5kQz1ELuGtHtgFbKXApiPo3CfCpoDLQVc5H/dghY2edBae7zSH89AP20p0i016dISFCYUmIXIF/qllOlC9kmae76Uqt1DSuJXqlMLIFy5K43mqFUueunkNz13vfL3YIN15rCq9CjwGC4Ni1b5s6dO5cDDjiAefPmkUgk2HfffWlra+PXv/41iUSC66+/vtxDVk2faWP3mcRVKSNyvZRSreuKXX+1bsrKVuL6xauiSJmGaf4YBi+FYhiGUrWuYhlI/7spV+S6pPqQXr0BZe9fYtbgow0CgSBatLe350yYQei6zrRp05g5cyaHHXYY4EyAM2fO5Kyzzsobv/HGG/POO+/krLvwwgtZs2YNV199NZMmTaKvrw/DMJDl3HlBUZTM5DoQRHEuBZBjOmqsyZEqWgzLSKCCp0o3K3f91bpuDENY1IKDd56MfgwDRFPsTt11D7QHvhm4LfbO39j2kJv6TeYK8ilV6EK+1PULXWdbcPSCV+pCeARDlqC/kaDXroX/UFJJ5+8+M9owUTzCNmU4US1heC8+aiJ38ZVgFJK7OTENPrnrRjMkoytzS5lLQcynUZhPBdFHSfYhPXVpjsjN0LMCac7jSNOPxx5EVa+DDb/ULbVKF8KlbjGiIHdLzd31y13vfv5jeKt3C0raErcpWrT/bgbDtWnZMvfcc89l+vTpvPXWW4wcOTKz/vDDD+e0004r93A1oc+wsA0Lr4h1pa5brevFFbi51bppyeur1nWP5+DLwhVN08pCNrqQ5j4ful2a+wJycg1mfGTomFqjprqRk93YWhxDK/7iWCAQ1JcZM2Zw4oknMn36dLbbbjuuuuoquru7Oflkp/HSCSecwIQJE7jsssuIx+NsttlmOfsPGzYMILNe13V23313fvCDH9DU1MTkyZN55pln+Nvf/saVV17Zr9+blyjOpQBqSxuynHtR40pdt1oXyIlgcKt1o940DQaH2FVjcdTEivABqQS6HFyVUS8mbbsbU/fcD4D3n36Cea8+06+PPxjw5umGNUfzb+vz/A4WimCIuw3VAqpy/fEowfENuSs0TfFU5hfHL3f9TdUKyV1v7q5f7nqjGfxyt2BTNS9BlbxG//791Asxnw7sfCqIPkqyB2lBePd46ZOZyNscjSn3z0dQJCRUow/ZSGDqTaTUaEYC9BfFqnMLjS1UpevcDpa6EF6tWw6VyF1d0Ul65Gq9mqqVvF8BuVtKTIOhRlvmlkqU59KyZe5zzz3Hiy++iK7n/nJOmTKFL774otzD1YRkynJKaDP4JWy1BFfrBlGoWneoN02zlRh22zin62bQ9tax2Er/lOMrqW60lZ8gPfsbpEXvYA+fgrL7jzDXmoqhd/TLOQgEgnyOPPJIli5dykUXXcSiRYvYaqutePTRRzPB8/Pmzct7J7MYd955JxdccAHHHnssK1asYPLkyfzqV7/i9NNPr8e3UBJRnEsBZE1HVkxkXU/LkRhWMvcFoD+CwVut6+Kv1nWoX9M0d0zmHItU60J1+bowcGI3lUxg6YU/Ntxfc+mwkaP45u9uZNjKWcQ/+RcAG33jYFaffj7//P5p9KxY2i/nMVjwN0gLq9J1t0F2eykRDC4DLXf9FJK7fvxN1XK2ldpUzS93/U3VUoMjO0TMpwM7nwqijy2r0DoWeoLfILWHrY0tKwR/gqG2KIkeYktmIz3zG6SVn6OOmYq++w9IDptEShOfWi2FoCpdV+i624MqeL2ytlC1rmE5YtMvdysVvuVSrKmal0JN1fxyt1BTNS+lNlVzbw8WmRvlubRsmWtZFqaZ/4JtwYIFtLW1lXu4mtDVZ9CiBb2IzK/ULYRbqRuOd9vAV+u6j+ceoxQGslo3pTaj7nQu0pxHA7fbu5zvNBmrMzIW2rznke88KtMgRlo1F+mzZ5AO+A3Wlsdjqk1FjiIQCOrFWWedFfjRFYCnn3664L633HJL3rqxY8dGrkFKFOdSAEmP5VXmFqK8FxGFpa53W6lN06BwDEN/VOtCP4td22bxF4sZNnwKrPw8f/OEbfnkjTfqfBIO3/j19Yx97WJY/nFmXXzZVcRHrsc3fn09t552RL+cR9QoNWIhiCChC9VJXZf+krvV4pe7hZqq1UTu4ns26iut2UsjIObTgZtPBdEn1dyBssv5SPcGV3Db007E6geRK6cMtPf+jfTw9zLrpFVzkeY8gv7Nv2Otv1u/nEfUKLUq10+YtHW3eY/t3x4WweDd5lKO3A2KZvCTNJPoVcRNFpK7fkptqpYnhQs0VfMSV1U6o5JNVgOiOpeWLXP3228/rrrqKv785z8DIEkSXV1dXHzxxRx00EFVn1AlJFImWqrQL0t5lbp+qZufqxt0zGI2XjRNAzBHbQx7/RT5qV9mO21LEtZuP8Zca2q/nIPWvQj5wbPzOn0DSE9ciLbhAZhta/fLuQgEjUBckYiplT1PSBGIeIkiUZxLAVBjSKrzArec95i9ubrFccYUytYttWla1GIYIL8hWD1eyz569eWMufJPDHviLOjyNGUYsS4rpv+IZ757fO0f1MeELbajo+fDHJGbYfkndHS9x/gtd+DLt16u+7lEhWokrhe/0IXSpa47xh/BAPliFsLkbHDmbqlyt7+bqnnxy11vNINf7oY1VbOTdZK5mg5ahdVbg6RauB5Edj4VRB4bG3Pd3VCmnYQ065bsBlnB/urVpNrH9ct5aD0rkR77ScAJ2sgPnYd+2kz6Wob1y7lEhUpFrktQ7IJz3Mqlrkt/yd1q8cvdcpqq5W4rramaX+5K8fp9SkxXNGIVZhTbyuCRzGXL3CuuuIL999+fTTfdlL6+Po455hg++ugjRo0axT/+8Y96nGNREkkTLVXKH7xMOdELxSt13WNCmKz1M9Sbphmx4VjTv4O26RGQWIkE2LFhGE2jMPX+efdc6l0BXUuCN5pJWD0PhMwVCAR1JIpzKeDIhvTHotzZQCabm1uMUqRuNlcXyqnW9W+vZ9M0qD6GwaUeVburv5zLbT88h6/+4BJGTxyHIoORgkWff8YD555C76rltXmgAmy6y+40fx78SRuAps8eZaNd9hgyMrdWItclSOhCcakbNKbP93vnrXovp3o3SPrWqqla3mhfU7WC+ORutU3VrHqKaEHNiex8KmgIjKY27L0uRNnxLKS+1SAp2E0dGC3DsdR+ijdY/QWkQl5jdS9F7l0JQ0jmVityXYIydyuVupCVtX65C+EN1MJFbnG5299N1bz45W6hpmo5+3nkrjRIYhaiTNkyd+LEibz11lvceeedvP3223R1dXHqqady7LHH0tQ0MB9NT6ZsEkmTRNIkVuTVdJ8Bca00qetvklYY55Wx6pG1uetyX9j6pS4QGMNQarWuu5+XqDZNU41OpN5l8P6/ARtp00NR1Vi/yVykIoJeLvvPQiAQCMoiinMp4HR2V3Nf+HqlbqkEPYu6zdKC8Utd7yN7abymaV5qKXYnT9uZiZtuhjL/RVg2G23cVqy95TTGbbo1Hz3zSHUHLwHbNKFQRpyiYlb7A2sQai1yXcKELuTm6Tpj0+cSIHUhd2yt5G7Y+lpEM6i601QxM7ocuUvhpmpeguSukLmNRWTnU0HDoBi9SGsWwocPg9aCNPUQFDXWfzK32LVnsWvXQUStRK5LWBO1oDxd7+O7UtdZly92ISt3IV/wFqre7Y983Urwy91Sm6r55W5mv5DXL4LaUZG1UlWV4447rtbnUjHJlIlaMGYhiPKbpLlSV1fknOiFoOMWkrqqLOVI03KydaG6pmmlSl2oTwxDvPsLpCcvQXr7ruzKl65FnnoE8X1/Tl/LxJo9VhhW0wjkYZNh1dz8jXoLdvuEup+DQCAQRG0uBQJlrotEdULXycF0hG64lHEeu8/MSiRX6jrr3HHB2bq1aJrmjO1fsQvlyd2N9zmUr5x2MvIt+0GyG3B+SnrzCI688F5uXrGML995rboTLEBMhg+efJQtZ5xGy/xXAsd0r3cY7199c93OISrUS+S6uL+LpVTpOuPT5+X//fL9vvaH3M2uq33url/upgwLVfMUOxRoquaXu95oBiuRwKrs8kgwgERyPhU0BLE1y5D+fTbSZ89kVz5/BcrO5yJt/x2S/VER2zYWYm2QWJO/bdjaWE3D638OEaDWItelkNB1Hjdc6nrH+cfWSu6Gra9HNIOu6CRDBG0xSpW7LoMpziCqlPRq5YEHHij5gIccckjFJ1MphmGSrPhd9HCpW0rTNKAkqRsWqeAVu4UiGAZDta4MSAvfzBW5aaT37oFND0HecGIZer0yjOaxKIf/Gem2Q3I/0iJJ2If+CaN5bJ3PQCAQDEWiPpcCoMdADX8nXdJiTrZkGYcMe6HhSl3TMFHzjFh5UtdZX161LtQmhgGqF7tQntz96oyfIN9zZEbkZuhZgfzAGXztot9w7Tf2rv6kAnDPc9kn77PMGEHThG2Rv8gVx9b46SwzR7Hso3frcg5Rod4i10ulUtfZJ/94/SF3w7N4y5e7muaNZymfQnI3b2yyt+LHEfQPDTGfCiKPbMtI7z+YK3LTSC9cjbzRQf0Sb2C0jEA77E/I/zwht6eLomMdfj3J5mGUU4DWiNRL5LoESdrsttKkrnesy2CTu/7q3EJN1fKao3miGeJKDDs4m0lQQ0qSuYcddlhJB5MkKbCbaL1JGRaGYaJpSslSN2GYxHIqg8qv1PXjbZKWMHOrct3jhlXeFpK6EBzB4O4H1VXreo9TjGqqddXECnj1z6HbpVf/jLb2TiTia5V97HKwgcTYbdBPfxHp9VuRvvgf9qiNsLf7Nkb72lgR/eiDQCBobKI+lwKgxUAr/rGoWkUveHGlbirpzOfptUBW6vaZUk4FYO7t4AgGqG+1LtQuX9dLWCSDrKrE6A3Pfl/yAR3tzbU7kZBzArjngjM4/JfXsNZGR9I69z9g23RNOYhlfc3ce8EZdTmHKNCfEtdPsegFyP19dvbJvV+t3IXwpmoDFctQLn65683dtZLio6FRpyHmU0Hk0ToXIf3vpvABs25BHfd7UnJ9RaqlKCSn7IR++gtIr/4FadmH2OOnYU87gUTbWlhC5NaMSqVusX2yY8LlLoTn7vaX3E2aSfQqBHAhueunPdZa8eMISqMkmWtZ0X8CMUJz+MqleqnrUm+pC/nxCZVU6wYdpxiVVOtKZsIJlg+jb7XTgKwfsGSNvo71kPe4CDnVi63EMYXEFQgEdaQR5lK0eEkyl3SFbj2krkuQ1M2JVyhD6kLhal2IXgyDF69E1Zub8yty/fTTXGr09vDP753KsLXXY4Nd9gHg43/8npXzPu6Xxx8IBlLkuhQSuhAudbP7594vV+5CePVuqXLX2Va53I0rzifz6oFpCJkbdRpiPhVEH9t2rj9DkHpXIlkGyPV/4k+pGqkRE1H2+xmymcRSY5jS4H8u6k+R6yUsesHZli913X38lFO5C+Gytr+aqtUav9z1VvZaingjrd4MilAowzDr8MtSe6kbU7zRCfWVuhC9al2zaRTyensjLXwzcLu93l6YTaNKesxaYUkqltZPjdcEggYlpkolRc4EotankaKgTqhNoJU/7wVJXVnXsZLhUrE/pS5QsFoXoh/DkDlWVydW2zhkSQY74N9Kb8XUalsN4a/I9bNq3ie8dscnNX3MKBIFketSTOhCfpO08GNlbweJXfdYXqqVu8427/r8de76/pa7qXrJXC0OWoWFA6kI/fIJBIMEq6kdaZ3dkd67N3C7vdFBmKpGf0YcmDKYsk5uQ9jByUCJXJdCQtfZHix1/cdwKbdyF+rXVK1UuWtYSXSlPsI3JdXv3zemasTUyuZTO6Q3SCMyOGRuyqy482wiZRJTC71AkulLmcRrKCQaQeqGHasQxap1U5KGttUx8PpfoWdF7sam4bDNCaTkWN5+AoFAIOgn9BIrc0Poj0pdwzCDG6ENoNR1xvef2P309VlsMO0UpP/9JW+bvev3ef2hfxOTy2uq5lJM3A5FoiRxy6WYhPXjr9qF+lbuQliswsBV7qZSg1+iCAQCMGJNKLt9H2b/B1J9uRuHrQ3r7DroIw4GioEWuS7FhK4zJrgBWtCxvAx1uZtSSotjEFTOoJC5yaSFItX7iVam1u/KlSp1XZlaidR1xtQmgsF7rGKEid1Ex3rETnoEnvoV0uyHAbA3PBD2upBE+7olHVsgEAgEdUKLQw1ew3mlrqzFsIxEoeFA+S9I6iF1c2MVnK9BUhcGVuze96PTOP2eZ2kfuS7SS9dC55cwYl2s3X7A0uQInrnmq875CjFbNVEWuaVU5/rx/95CbQRvsePWs6la9hnHS9DPpfAfXCrp5HaLmAWBYOhgDJuEdsrjMPNnSJ8+BYqOPfUI2O379HWMY7A3HutvoiJxvZQidLNjC8tY/3H9FItl8B+zXnK3nrhN1VJy+M9GUBsGhcw1kiZKzJG69aV2TdK8uFJX9Una7LrcCtlypC4MbLWu/3wtoHf4RsQP/C3sczHYYOst9DWNLfl4AoFAIKgjWrxmh6pnpa5LLaVukKwNytWF8GpdZ5/iMQxQXeO064/Yja/85m9scvwDSJIT/ff6448z89ITyz+YIJAoi9xa4v0dLiWWAWrfVK1SuRu2vpKmaprmNGCsW8yCQCCIHKaqYI5Zn9gh14DRBxLY8XYS8RaEyK0tURS5LuUI3dz9Spe77uPkjq+uqVqlcjdsfS1zdw1FyNx6MyhkbiqVIpl0fll0Xa1I6iZSFrEimZDZMcWlbkyVSZoWuiKTsCxisnPfxZW6QU3SvFI3d12+1FUylbilSV2/hK1W6nrPpximaaNg0bR6Dvz3YqSP/wvYsN4+NO37cxIjNsQaHL+SAoFA0JiocdCawOh1pK7RB3pT+Hh3TBEkShO6lpFA1jWspIGqKZmO885XmZRhoWgKpuFU0HlxpW5eE7QypG5fEVlbTgSDM748qQslil1Z5rv3Pk/LoueQbzkAupchdUxk2i7fY/LfH+Xm4w4o4SCCMIaKxA2iErEL1efuRknuipgFgWDooKRSaMs+hscvRJr7IsgqbHII8T1/QmL4RGwhdGtClEWuS6VCN/cYAyt3IbypWn/J3aSZRJd1DFnELNSbksxZZ2dnyQdsb2+v+GSqIWXk/qG4UlfX5bp1u61HkzTvcUuRuv7mY5Vk6kLlUrfQMYNo6voM6a8HQt+qzDrp4ydgwavEvvVfejs2KHoMgUAgaEQaYS5FbwqWt67UTfY6srcCJC0GRqKg1JVjMaxENpKh2IsUV+oGNUkLkrquvAmTuv7oBait1HX2qb5a9+u/vYnW9/+G9MbfsitXL0B6+HxG7fET9jr/Ep78/UUFH0cQTCOJ3HIjFsql3Lxdl1LEbrHjD6TcDY5yEESJhphPBQ2BtnKec22aSr/2sFJOQ7T5rxA78UH6holPj1ZLI4jcelFq3m52fP1yd0uVu+4+1cpdQ2Tm1p2SZO6wYcOQpMIXH7ZtI0kSptn/f6ymYWJLJoqm5Eld91t0pa7bPMX5aqFp2fXJiqVv7aWuN093sEhdjSS8cVuOyM3Qtxpm3YK6x0WiCZpAIBiURH0uBUBNP/8WqsaFrNR1K3jLoD+apDnkS1330b1SN3u7uNTNz8nN/7h5Ianr7FN9te6ULbZEuvHswP2kF65iqxMfEzK3TBpJ4g4U9YpjCDq+/zH8chfCm6pVK3ed8xDVuVGmIeZTQeTR+rrhmd9kRa6Xzi/gs6eRtz5GNEGrgkYTubWozg0/dnli1z2f7D7B51VruRu2T7lyVxWVuXWnpOujp556qt7nURUpI4WuO1IXyEhdVVMz8Qu1TJRIpiz0wEiGrNTtS1nEi8Q2lEKQ1A1qkgalS91iebrgSF2/0HX3dx83jLBjqn0rkD59JnQ/6dNnkLdbBq0TQscIBIL+p1mXiRe6Ai+AbIgOTC5Rn0sBUGKgpl84popELFRJIakr6zGsZP7FVblS15unGyZ1/YKnkNQttUo3bKyXUqUu5IpGuWUY0pqFYIdcXBo9yMaaoscUZBEit3xqEcfgUkksA4RX7/rlLoTFKhRqqlYHtDjoFXaYTIlfUi8NMZ8KIo+c6EKa+0LodmnO4yibfwNLFX9/ldBoItelnkI3+xjlxTE4+xRvqBZ0bP/xS5W7UF5TNf86LeA8akVMiRFXKisAtJXB82ZtST/h3Xffvd7nUTVuRa6qqRmp61IvqRtO7Sp1XbxS1z1uuVK3Vk3Swo6RN8Z3TFuJYTcND+w5DEDTcFD0zLl7z18gEAganUaYSwFH6HqptdT15ez2d5O0qEpdZ98S5rxEF8RaC49Ra9fEbjDTyBK33hEL5VBpHINLJbEMQY9Rq2gGEbMQfRpmPhVEG0l2rj97lgdutptHYcsaohFa+TSqyIWBOfdKqnad/YrHMviP73+MWjVV868Lim8Q1JaKzWZPTw/z5s0jmUzmrN9iiy2qPqlyMY0UluRU4van1E2kTGIF36mTqfWTvyt1vdELpUrdUpukufu61ErqJrXhqNt/Bz4Nfjfd3v47JPRROev8UlogEAgGE1GaSwFQdCdqIZUIl7pV5OYWYqCkbqEmaZAdA9RV6jr7Fq/WtVIpEnaMpraxsGZR/oAxm7F6pajMLYSQuPWl0qpdKD2WoRSBXKncFTK3MYncfCqIPEb7WPRtT0N69EfBA6adSEoWIrdcGlXkRuW8K6naze5bvtwtNZYBym+qJqgvZRvNpUuXcvLJJ/PII48Ebh+IXKJUykTTc6tzS5G6bpO0etJnQFwrT+rGZJmkaaErztdg8puk1VrqlpqnG3YMP0nLJj56c+StT8ht2gLYWx2DNW7r0J+SkLoCgWAwEcW5FEByBa6bnetKXTORX+05SKSum41ZSOp6q3Shf6RuIaH72O9+ziE/vBX5jq9DwiNuW9bCOuRPPHDeaeEHH+I0qshtBIkbRDViFypvphb0eKXKXZGZ21hEdT4VRB8LE3vjg+DjJ5A+/m/ONnv3H2F1iOi/comKEC2XKJ93pVW7zr71y9yFwnI3KLZBUFvKlrnnnXceq1at4pVXXmGPPfbgvvvuY/Hixfzyl7/kiiuuqMc5lkSYyC0kdV1cqes2SasPlUcv1ELqumLWNO26NUlzj1FI6HbGxtG2+wUo254KHz4M2LDRwZitY+iNFe8WKiIYBALBYCCqcylkha5tJrJS16WQ1K2gGVrB8wAUPYYdkJ0bhgqkDBNVU9JfZVKGhaIFWyRX6vqFbRSkbqH4hc+ee4RH29rZ9+xHUBa9gbRsNvbYLUmN3IR/X/w9Vs5+I/igQ5hGlbjQuCLXTy3FLhSWu/7HC3rcQnJX0DhEeT4VRJ9E20hiX/k9dH4Jsx8FvRk2OgizZSRGc/tAn15DEWUhWohGOu/+rtoNepyg+ISg3F0hc+tP2TL3ySef5N///jfTp09HlmUmT57MvvvuS3t7O5dddhkHH3xwPc6zICkjhaZlb0Nxqes2ScvF+XFEXerqikzS8p9fuNStpEmaeyxne3lSt1iV7hp9DOhj0HfeHADLrkzKesW0QCAQNBJRnEuBHHkrKTFH6LrrvdELQVLXpZjUNfrKkr4StanSLSR1wZlToyh1nX3z4xdm/+cuZv/nLtbeYW+Gr7MRSz/8I1++8WJ2H8+3mmyc65SaIyRuNKlW7ELpVbulPq779+uXvIJoE9n5VNAwJNpGQttIlAlbY2NjMYQnzQppJCHqpVHP26VWVbvO/uE/i0qbqgnqS9kyt7u7m9GjRwMwfPhwli5dyoYbbsjmm2/O66+/XvMTLBWvrHXve2+729z1bpVuKVLX7YhdDQnDJJZzEVl9kzRX6uqyQiJTuZsrdcttkuZs6x+pm724DD5uKYj4BYFA0IhEdS4FciIWAqt0y5W6RvVZu7WMXnClrmmYqHmmr/Gk7ryXZzLv5ZnhO5EVmkNN6jaqyB3MEjcI93e+UqkLtRe7gsYh0vOpoKEwKU+GCRwaUYg24jkXoxqx6+xfPJKh1MfTZA1Nrr5HlaAwZf+EN9poI2bPns2UKVPYcsstueGGG5gyZQrXX38948aNq8c5FsU2EkjpC8Swalx3W1j0QiGp6+JKXedrrd62r17qugRJXfe45UpdV+hCfnRCIalbaZ5uoeOWgpC6AkH9iKkycbWyz5/aFe432IniXAqAojlN0MxkZVLXbZJWa7QYGIm65Om6UjeVdOb39FogWOpmG6PlNklzx4Ajdb3Vff2dqRu63xCRuo0qcWHoiVwvtZC6UH4cg/ex64oeA12vbN+UeH0bRmTnU4GgDBRZxbQaTyY3ohRtxHMul1qKXecYhX9m1T5eucRUjZha2XxqqYPn379smXvuueeycOFCAC6++GIOOOAAbr/9dnRd55Zbbqn1+ZWMbTgfBZU058KylLiFSqWuSyVSN5my0APlRu2lbkzJCtxypW6pTdLcfV2qbZIWdtxSEVJXIBA0AlGdSzMo6RdI5Updl3pJ3TT1bJJWTOq6j+6v0gWf+PVV6UJ9MnWrkbowuMSukLiDA//vfC3lbilit869kQU1JvLzqUAwSGlEKdqI51wt1eTsZo9RetWu+3hB0QyC2lL2T/i4447L3J42bRpz587lww8/ZO2112bUqFFlHeu6667juuuu4/PPPwdg6tSpXHTRRRx44IHlnlaGIKkbFrcQdNsvdVVNJZl0f+H74xdSpi9lEldrJyMbWepKEjQbK1D6liOlklhNw0nGx2AWeXIQUlcgEESZyM6lip5/30w6txtE6sq6jpVMhu5TC6lbKHoBIih1JYmpXzmKrb76dTTZxJY1Pn7lJV67/Xro6nT2b+DrGyFxBzcJs3YxCJXEMQiiTWTnU8GgREJC616B1LsKbAu7aThGywgqbAHTsDSiFG3Ec64H1crdcqt2BfWj7Jcxl1xyCT09PZn7zc3NbLPNNrS0tHDJJZeUdayJEydy+eWXM2vWLP73v/+x1157ceihh/Lee++Vd1KphJPJ58GVuuBIXG+1rfd+2G3TMDENM2ddMplKLxbJpIVhmL7FSi/O/WR6SaQsZ0mazpIySaYskimLhGE6S3pMn5FeUjZ9KYu+lEVP0lnc++7YpOksCctZ3PuZxTJJWiYJ08rEL7giNWVZGVGbMm3P+uxFhWnaGSnqHe/fJ7POsnP2B0fqGmZwiUPQMbzIErR1zkG//TCUP22P/OddUW/Yhab37kA3VoXu58X7PQgEAkFUiORc6qLouVLXf1+NZQSupMQyYte7HiXmLGo8m6nrSl2tKb3EnUVvchb/+sz2WHppgpbh6fWxnEXSnUXW0ouuI+sxZ4mll8w2DVnXUDXFt8iomoyiKSiagqormUxdV+rGFXexM8LWXee/7dz3jJOzmbouMSVfUoUJpqCxufvZoWLwq7+8jj22H83o/36L4f85iREPHcv0lnc46tp/EGsf7uyvNJ4UbcRzdin07yXIpV55tkkruwgal0jPp4JBhWxZxL58F+WWryJftzPy9bui3LgXsY+fRvG4h0pRRMZo3RDCMRxFUjNLZfsrmUXQv0i2bZf1SlJRFBYuXJgJmndZvnw5o0ePxjSr+0MZMWIEv/3tbzn11FOLju3s7KSjo4PYPpcieRuw+Lpku1W6Lm6lbtD9oNve7tfuOl3PjtPTV17uxV72a+56Pf01psrEdPd2els6eiHmGRNP7+9W6bqZlc26nHM/psro6QrYWLqCVvdUxLq3dTl9bCXbJC3zfclB63LfYlQCxmfu+ypgwyISgip1w47R1vcF6l92h54VeWOto+6kd539sSq4DhLVuoLBSmdnJ+NGDWP16tW0t7fX5HgdHR1c9d93aGppq+gYvd1rOG+fzWt2ToOFKM2lkP23XvXJq7S3+BqamcnC91PZCxjbTOSvz1mXfuM12ZtdZ6RvG75t/vWZ7QnPGHdbIuernUxgpW+7VbpWMn0/kf6a2e503E2lP5mT/eoYHvcTO6l06aq3Iapbietm5XrX5d/OnXv6fAIpqPK2kGQqlvHpVupuuO/h7LPnesT+96e8MfboqXw07gQevvjs4GNE8NqnUeWtixC4pTNQTclM2+b0N6yaz6Urbz2J9ubKMv46e5IMP/EWMZcGEKX51P23XrTiS/HvNAiJrVqIfN3O2dcyLpKE9a0nSYzdqOrHaITc3EYTo412vlGh2uzbVatXseHYTWs6b7nPsde8diVNrZV98q+3q5ezt50xKObTsvW7bdtIUr4Me+uttxgxYkTFJ2KaJv/617/o7u5mxx13rPg4QPbiLi11C+Xp+u8H3XYJytPVdZVkBW/pJ1IWsSKNgbJjKs/T1RWZpGk5Xy3/E1lW4Garbr3rcuMTTNPOaZLmbAuOXyjUJA2Kxy/IEsjzXgwUuQDyzJ+hHzeNvlh5H59yvw8QUlcgEAwckZ5L3coQ94LCm58bdL9Y/ELm5BLZKl2XZK9TjWv05r0RWw0SoOgx7GRplTJW0kDVFFKG6flaeI42DNNThZvbJM25je92fpM0yErdcqIXwsZ7caXhNod9k9hz5wSOkZa8x9jtxqLE4piJvrztUcrWFRJ36DBQEtdFVOo2FpGeTwWDBtkG6c1/5ItcANtGeuZylMOvw9Srey3TqI3QoooQuZVT6yZqgtpTsswdPnw4kiQhSRIbbrhhzqRpmiZdXV2cfvrpZZ/AO++8w4477khfXx+tra3cd999bLrppoFjE4kEiUT2wqyz08l5I9kLlp2fy2f05VwcliJ1Cwlel0JSV9dlDMNMN0er9ZNH9U3SXKnrNknzHrcUqesXoUFSt1ieLhSXuroiIc1/JfwbWfohklXdx1m88QtC7AoE4cQUueibT2FYBarxhyJRmEuhwHzqRVazQhdKk7rpatw8qevN0w2Sui6u1DXSWbtVyl6J6pqkuVI3ZVgomoJpmJnohcwpR0DqFqrSjWkyJLtDt8ud82gevhZrFs0PPwj5MrWecrfRxa2XoSJxB1rANgRuNExF+4rXqX6iMJ+WNJcKBgVSKom04LXw7YveQTZ6q5a5UaeR5GgjnWvUqUUTtVoSU3Ri/j4fJWIpg+f3omSZe9VVV2HbNqeccgo///nP6ejoyGzTdZ0pU6ZU9K7lRhttxJtvvsnq1au5++67OfHEE3nmmWcCJ83LLruMn//85+EHcz926ZW6vipdKCx1i1XtBjVJyyX3R+pKXeerhaZlZW+yYtlbvdR1caWut0maK3VLbZIGuVK31CZp4EjdIKFr2Tb26E0IfenaMRFLUkOPWy6iWlcgEPQHUZhLocB8Kmu++74qXSgsdb3N0PBIXXffIKlbTpO0CqRuUJM0P3IslolfgOIvjlyp622S5kpdv7DtD6nrFWl+sWvaMigamEbg92K3jqOvc2WR7zifWlbtDiZ56xI1iStkq2CwEYX5tOi1qWDQYCs69qgNkT57Jnj7sCnY/k8kVUiUq3MVSWkISdoI5ygQVEvJMvfEE08EYJ111mHnnXdGVWsT0K3rOuuvvz7gdCB97bXXuPrqq7nhhhvyxl5wwQXMmDEjc7+zs5NJkyblH7ROUte/3i91VU0lmXSfeGsXYJ5MWZlM3VyyUrcvZWUydKvBK3VdWVyu1A2LXnC258vXoCrdlAXWevsiuxf6Pqxdf0BffHTGZ6csu2qhC6JaVyAQ1JcozKVQZD71y1qoidTNiV7wSl2XcqRuOWgxMBIlSV0/pf7reKUuOK8NBkLquuO9Y99/4iF23vRrqO/elT+4YyIrV/Vh9HSV+J0GMxhlbCVESeAKeSsY7ERhPi352lTQ8Fgy2NuegvS/m8DOn3zt3X9IKtaC5+1rwQAhRK5gqFC2/dt9992ZO3cuF154IUcffTRLliwB4JFHHqlJp0/LsnI+ruIlFovR3t6eswBOM5Qgkr25TVbAkbpGrhy0jURG7IIjbl1pW8pt0zAxDTNnXTKZSi8WyaSFYZi+xUovzv1kekmkLGdJms6ScpZkyiJhmM6SHtNnpJeUnV4sepLO0pdyFnds0nSWhOUs7v3MYpkkLZOEaWXiF1wZm7KsTOVtyrQ96+2MnDVNOyNCveP9+2TWefbN/NOYVkbsAnTFxmEddx80Dc8OkmSs7c8gtcFBmL55NOiY1eB+T97vTSAQ1J8//vGPTJkyhXg8zvbbb8+rr74aOvbee+9l+vTpDBs2jJaWFrbaaituu+22vHEffPABhxxyCB0dHbS0tLDtttsyb968en4bBRnIuRQKzKdeFD0raF1kNSt2w8Z576uxjMCVlFimUte7HiXmLGo8G7+gNzmL5i5xZwlbn9keSy/uOHdbLLNIurPIWnrR9fQSQ46ll8w2DVnXUDXFt8iomoyiKSiagqormfgFTVPQNIW4kpW2ccXOSNu4R7Ll3s6OAUfqxj2v0mJKvqDT5azY9eId+/4Dt7Ns3EGY6+yVO2j4FDr3voqnrxJVZdWiy3ZkRG7Q74lg6CLm0wG6NhUMSlLt47C/eSvoLdmVioa13y8xx06lliJX8b/WEggiwkBHLAwEUZ1Ly36WeOaZZzjwwAPZeeedefbZZ/nVr37F6NGjeeutt7jpppu4++67Sz7WBRdcwIEHHsjaa6/NmjVruOOOO3j66ad57LHHyj0tSKYFbVBOTY0rdcNum77YBLdSt9ImaX4SKZOYWugVukwtohfyj5mbp1usUrfUJmnOmPyK2ozQVVRWj5xOy2nPoaz5Eoxu7GGT6dNHYaitoWdcq+gFP6JqVyCoP3fddRczZszg+uuvZ/vtt+eqq65i//33Z/bs2XmdqsHpMv1///d/bLzxxui6zkMPPcTJJ5/M6NGj2X///QH45JNP2GWXXTj11FP5+c9/Tnt7O++99x7x+MDlmkV2Lg2inEpd7xjv/WJN0gpV6rq5uTWmPyp1vXm63ipc99H9VbpQh/gF2+D+Gcex07d/yORDv4PSuwQ7PoxlC5fw3I9PZ82Xcz37i7mtVKIib0HIW0EwYj6N4HwqaGhMTcdebw+0M16E1Quc+KLhk0k1D8fUKsvvFNQWUZVbG4aisA0jynOpZNt2Wa9Gd9xxR77xjW8wY8YM2traeOutt1h33XV59dVX+drXvsaCBQtKPtapp57KzJkzWbhwIR0dHWyxxRb86Ec/Yt999y1p/87OTjo6Oojt8EMkf0ZNofDxoI9x+jL4JF+DAjduIeh+2G0l/ZFLd52uZ7fp6Ssn92OZ2a+56/X0V7f5UExXMkLXjV6I+cbENZm4mr4ITK9rTj+ee98dqysyMTl7Kasrcu5XOX1sJSt1M9+rZz93vVeg+oWnd7z/WP59vbjxCxL573f6jxFEraWuHyF2BVGhs7OTcaOGsXr16ppUh7jPsdc99R5NrW0VHaO3aw1n7Dm15HPafvvt2Xbbbbn22msBpyJm0qRJnH322fz4xz8u6TG32WYbDj74YH7xi18AcNRRR6FpWuC7ogNFlOZSyP5br577Dm2tBcSpV9Z68We7+cf576eyVU62mchfn7Mu/ear95M2Rvq24dvmX5/ZnsiOy2xL5Hy102MsI4GVdM7Xctclstuc9U7+bCr9Jm72q2NT3Td3U+kwWW9D1D7PdYYrbHPXkYM7JnPfJ2yDmp+FvX+csCS05lZSfT3YZvgFj5C64QiJO/jpNW3Oecuq+Vy68o7v0N5cWaZmZ0+C4cfcUNY5ifl04K5NF634UlTpCmpCFLNzoypMo3peUaXewnZN5xrWG7NRzeZSyD7H/vn1a2kqdL1SgN6uXr69zVmD4tq07Mrcd955hzvuuCNv/ejRo1m2bFlZx7rpppvKffjSKVap6xe6vkrdQlW6/vuFKnWDmqTVqlK3MOU3SYvJMknTQlc8Xy3/k2J4pW45TdIgv1K3UJM0ILBRWlC1b96YOlXquoiKXYGgOP4Oz7FYjFgs96I2mUwya9YsLrjggsw6WZbZZ599eOmll4o+hm3bPPnkk8yePZtf//rXgDPhPvzww/zwhz9k//3354033mCdddbhggsu4LDDDqv+G6uQKM+lUrrq1g66gAiq0oX8St1CebpQvFLXxW2S5qUBK3Vdgip1C+XpQnaMS1zOFbplVerKNvStodj1jisshdTNJQoiVwjcoU0pcymI+RSiMZ8KBIL+QYjcYESFbTiD4dq07MzcYcOGsXDhwrz1b7zxBhMmTCj3cPUn2ZcVuznrA/J0IS9Tt1Cerv9+0G03T9e7zs3TBTJSt6xM3YA8XX+mblCerj9TFygpTxfIy9TNzc51MnJLydP1js/c92XqhmXf+jN1vfgzeQPH1DhTNwiRsSsYjGiKjF7h4r4JM2nSJDo6OjLLZZddlvc4y5YtwzRNxowZk7N+zJgxLFq0KPT8Vq9eTWtrK7quc/DBB3PNNddkqmiWLFlCV1cXl19+OQcccACPP/44hx9+OF/72td45pngjsT9QSPMpZKsZsRuHkF5upCfqVsoTxdy5G1gpq6bpwvZTF03DxeyUresTN3wPF03UzcwT7dIpi7g+er83vszdd08XSCTqevP083m7AZn7kJ+ni5UnqlbiChlwQ40A/lzcP+9hMhtcPzPR+UulDaXgphPIVrzqUBQKVHMzlWkaE1GQ13kmnYqdBmsaJKOLle2aJJzHTIYrk3LfnY46qij+NGPfsS//vUvJEnCsixeeOEFvv/973PCCSeUe7jaYARU8/gJq9QNytOFiip1C912hW5Qpa77z6DrMoaRzdnzo2kKyYD1QSQMMxO/4FB+pa4ft1JXl5VMkzR/pW6xPF3IrdT1Ri9UW6lbSpVuoePWGr/QFVW7gqHM/Pnzcz7KElRJVCltbW28+eabdHV1MXPmTGbMmMG6667LHnvsgZV+4+jQQw/l/PPPB2CrrbbixRdf5Prrr2f33Xev2XmUQyTn0hAqrtT15+l6x3nve3NzcaRuJnpBjeXm6QZV6roYvc6cbfQFxykZfXmRSmFIWgyMREnveFtGwhG6IdtThoWiKZiGmWmSljmldKWuN0+3UKVusTxdqCBTl/zxfkSlbv8jxK0giHrOpSDmU4EgiiiyGsm4hSgwlETuYJazA8FguDYtW+ZeeumlnHnmmUyaNAnTNNl0000xTZNjjjmGCy+8sNzD1Q63elYrQeqW2iQN8i7+atUkrZDUdQmTutWRlbp9KSuToVsJQVLXlcWlSl1/9AKUJ3UrjV4odNx6IeIYgqlVFbP4mUabUro8jxo1CkVRWLx4cc76xYsXM3bs2ND9ZFlm/fXXB5zJ8IMPPuCyyy5jjz32YNSoUaiqyqabbpqzzyabbMLzzz9f4XdTPZGdSwtQttQNa5LmHRcidYs2SXOlbipE3EJW6lYRy1CP6IUgqQvOXN8fUjcs5SlovB9vdepQErv9VZUrBK6gGKXMpSDm06jPpwJBo6NIypASqf2FELb9x2C4Ni1b5uq6zo033shPf/pT3n33Xbq6uth6663ZYIMNyj1UfShF6hbL04Xci0NflS7UXuqqmpqJXqil1E2mrEyjtFyqr9R1caVuTJE9cQe1kbpeIRskX6vN0w07br0ZSmK3vyInavE4g/3fIurous60adOYOXNmJjPIsixmzpzJWWedVfJxLMsikW5Ypes62267LbNnz84ZM2fOHCZPnlyzcy+XyM6lilZ0SKSkrkshqVsN6QrdRpe6pVTpesdDYanrHGdoVOsKkStoRMR8GoH5VCCoIaI6d3AhpG1jEPW5tOIQlrXXXptJkyYBIEkRfCFvJEqr0oWaS91ym6R5KSR164NMX8okrtbu37CWUjdIyNZb6vqPXW8Gm9ht5Lzgas59MPzbRYEZM2Zw4oknMn36dLbbbjuuuuoquru7OfnkkwE44YQTmDBhQibX6LLLLmP69Omst956JBIJ/vOf/3Dbbbdx3XXXZY75gx/8gCOPPJLddtuNPffck0cffZQHH3yQp59+eiC+xRwiOZe6Qtc0Cg6rmdT1jvHej5LUTRMkdWVdx0omg4YDpUvdVNLM5OnWWuqWE73g4pfAYQxmqTtYRW5QjrIgSwO/jMlBzKcCgaCeiOrc4ghp2/hEeS6tyBbedNNN/P73v+ejjz4CYIMNNuC8887jW9/6ViWHqx/lRC9AuNQtkqcLuVI3KE/XvR9lqVuLKl0vpUpdV5xGRep6j+0/fr1pRLHbyPK2llT6c2iUf+f+4sgjj2Tp0qVcdNFFLFq0iK222opHH300Ezw/b948ZE8Ff3d3N9/97ndZsGABTU1NbLzxxvz973/nyCOPzIw5/PDDuf7667nssss455xz2GijjbjnnnvYZZdd+v378xL5ubRWUjcoTxeyUrdQlS40jNQtRqkzealSty/9siH3dm2lbqmZus5xhmYEQ1QRwlYg5tMIzacCQQ2IYnWuELq5CHk7+IjyXCrZtl2Wgbjooou48sorOfvss9lxxx0BeOmll7j22ms5//zzueSSS8o6gWro7Oyko6OD2LRzkYo1QIPiUheChW5mW8iFoa+hiuR7HFfqBt0Puq14Gpe563Q9O05Pv0J3L/ayX3PX6+mvMVUmpru309vS0Qsxz5h4en+3StfN023W5Zz7sfRXXZGJydnb3q/gxC+AI3UhV6K6kjZ3Xe7FnxIwPnM/QIAFSdcgqVvoGMXoT7HrJYrCT0jcaOD93ejs7GTcqGGsXr26pEy9YrjPsX959gOaW9sqOkZP1xq+tdsmNTunwUKU5lLI/luvXvAh7e0h/9ZFpC6ECN3M/iHVq/59/OP899ON0oBsozTv+px16Tdf3U/bgNMoDbJvzLrb/Osz2xOeMe62RM5XO+l8tYxEpkrXctclstuc9c7PMZV+Ezf71bGp7pu7qWT24siNWurzXC+5wrbPdw0VNCZz3ydswwRtWLVuoX2K0WiCt1GrcoXErZ5e0+b0N6yaz6Ur/3Uu7c2VNVjp7Ekw/BtXi7k0gCjNp+6/9aIVX4p/J0HdiJrQHUiZGxWRLCRuPms617DemI1qOm+5z7F/fePPNLdVVrTRs6aXk7f+9qCYT8su+bzuuuu48cYbOfroozPrDjnkELbYYgvOPvvsfr8ALYt65OlCXqVuoTxd//2g2y5BTdJ0XSVZ6CorhETKykjY4mOK5+nGVJmkGb5dV2SSlhnYJE31VN7mrsuttDVNOyOqSq3UDWqSBtVX6nofw2WgKnZhYOWukLjRwvvvUa9/m5icfeOmXMwK9xvsNORcWkKlbtnRC1DbSt2gJmle3GZoRm/eG7HV0B+VuoZh5kUr+KMXoHilbrEmaVB9o7Qg/HI0qnK3vyQuCJE75FCbSissCdxX/OOG0ZDzqUAwiBDVuYL+RldU9BL6fASRUooXpzQKZctcwzCYPn163vpp06aRSjXIOxIRkrqFBK9LIamr63LFzdGKU/smad7jliJ1vdELUFzqhjUzM0wrtErX32itVAZK7MLAxTEIkSsQ1IaGnkvrKXVLbZIGWXkLWanr7ltM6rq4UteoTSyDRHlC10oaqJpCyjA9X2VShpXzKZ2cU/ZIXfc7LpSnC76IhpAmaVCfRmlhhEnTgZK8/Slx64EQuYKhSkPPpwJBBUQxbmEoI6pyBQNF2S/9jj/++JzwXpc///nPHHvssTU5qX7DSGTFbhjJvqzYzdvWm/vRzcxxc8fbRiIjdsERt66c9d4O22YaZvZjl+l1yaS7WJlKXVfqZr/mrk8aJomU5SxJ01lSzpJMWSRTFgnPmD4jvaTs9GLRl7LoSVqZ2+7YpOksCctZ3PuZxTJJWs55uFI3ZdoZGetK2tx1dkaYmqadIxJTluURwXiyecnbN/PPYlqZSl0/7uP6j1Mq7uP5H7M/cH829RSt9T6+QDDUGBRzqaJlxW4IkqxmxG7+/npW0LrIarZSN2yc974ay1bqkpW6OeuVWFbsulJXb3IWzV3i2UpdV+pq7td4dtFj6cXd390WyyxSSzuSHkPW0ouup5eYs8TSixZD1jVkXUPVFN8io6ajjxRNQdEUVN1ZNE3JxCnFFXexM8LWXee/7dz3jJOzmbouMSW/WlSXC4vC2leX2gWXej1Of9PfTc8EgsHKoJhPBYIyUcJeWw0QijQ0JzUhcgUDScUN0B5//HF22GEHAF555RXmzZvHCSecwIwZMzLjrrzyytqcZTFSfWDblX9k0khU3yQNcqt6ijRJg/C4BXeb/7YrdN1K3Xo1SUumrEymbi7ZSt2+lJXJ0K2GUpukOesLV+rWokka5IrhoV6xKwSuQFA/IjeXVoqiVd8kDXIrdf3RC0HjvPcbtEmaHItlMnUhfCZ3K3VNw0TVcy+Y3ErdoCZpzu3aVupCfrVuOY3SqqXRK2jrgajKFQx1Bs18KhAIBAJBiZRtAN9991222WYbAD755BMARo0axahRo3j33Xcz4yRpAD4mFyBQS9+3hOgF6FepG3bb9MUq1EvqhlO7+AWXWkjdYnm67r4uxaRu2LHKwV+pO1A5u5WIXSFyBYL6Edm5tNJKjxKiF6COUreUPN30+ihKXT/F/hWCpC5km6SVI3W9ebpQeqYuBEcw9KfYbVRqWZXbHyJ3qFURi5c/jUVk51OBoM5ELW5BZOcKBP1L2VdtTz31VD3Oo7YIqUstpG4iZRJTC72Cl6ml0IWs1PXm6ZYqdevRJC2zX5XVut7HzxxnABuoefGL3qEscWsVk9HfFdmCxiPSc6k/u7YcBkrqltMkLb2+7lLXzeJNU0+p6zZJS68FSpe6QU3SoPpGad79gvYVRJuhJnAFjUuk51OBoM5ETej2N0IgC4Yy0QpbqTVRkLpFmqSBI3Ulz+PUSuq6TdLqS/lVujFZJmla6IrztdBxi0ldV5qZpl2TJmkug1ns+hnM8nYgMoyreVwhgQWRIUielkOtpG5QkzT/eXnH1VLqJnuzubk1pB5S12UgpG6xRmn+ff37DzWiXJUrBK5AIBAIqkHIVYGg/xjcMtfF6KsuTxcql7pBVbruOUHmvPxVulC91HVxpa6uy5lmaLUikbKIqTLVRC+4UldX5EyTtCzhUrecPF0oXepCadW63mN6j1sJURG7jcpASdtaE1UJrCsyepG/hTBSFe4niAgDLXWDqnSDzqtQni6ULnXNRLZJmosrdY3eyl9LBDBYpS6UJ3b9xxEMDELk9gN6PLj4oxQM8dpQIBAEE7XqXCF0BfVGl3V0WS8+MICUHJ2/lWoZGjIXqqvShfKkbqnRCwHnFSZ1vc3QoLjUdZuk5eIcox5SN0v1ebqlSN1Km6RBfaSu97jeY1eCELulMVgEbi1wfxbiZyKoG/0odUuOXnDPq9QmaeDI21R6nlVijtB113sJkroudZC6ih7DTiaKjnUpV+q6TdKg/+IXXEr5gFCQSByMgjeqVblC5AoEAkFjEzWhKxAI6s/Qkbku/SF1y83TDTivQnm6/vv+294q3VKkrnuhVw0JwySmea8G8qVusy7Tlypd8rpSV5cVEpkIhNzjVit1izVJcyk1giFzrDqI3bBzG2oIYSkQDCD9IHXr1iTNvR9WpQtZ2etGL5QidY2QrN0yPxUkUV6VLjizecowUTUl/bXwEYKkbkbWKt7GaLlN0pzxhaVumHwtNYbBz2Cr3o2qMI3qeZVLvAq53VfvRDKBQCAYYojqXIGg/gw9mesyiKSu/3ZQ9EIhqeviSl3nq4Wm1aKCNytf+1IWcbXyV9uu1HWbpLnHhfKlbrEmaS7VVut6HyNzTFG1WzZC4AoEEWMwS92gPN1CUtfFlbpVZO1KWgyMRElS1zISyLqW90LOlbopw0LRgk2dV+pC8SpdKC51i2XiVip1XRq5erfWwrRWVblRE7nVCNlaPq4l0oEEAkEDIqpzBYKhxdCVuS5Rlrq+JmkQLHXLydMtRerWh+rjF/xUI3XDohfc/VxqWa2bOaaIYygZIXEFgojjjzkol0aVuqmQatwaUcs8XVfqmoaJqufau3pIXQiPX4DyIxgK0ciCt1IGm8gdKIErEAgEg5EoCV1RnSsQ1Bchc12qaZIG9ZG6AaK51lJX1VSSSfcJv/pfh0TKJKYWukKQqaXQhdpKXShcrRsmTb1iFyqr2hViN8tQlbj+Ku5iVPM7IxDUjGqrdKE2UrdYk7Sgcd775UhdlwaSui4DIXWhuNiF6uWu/zG9DJTkjYo0dYnK+QiJKxAIBAKBQFA5QuZ6qbZKFxypW0qTNAiXukWiFyBY6pbbJM1LraVuIfoMiGv1k7qqT9J6s3FTlp2RnaVIXb8sKyZ1XSqp2hVid+hJ3HLlbbH9zSqPF4amyOhlVJ97MSrcT9CA1ErqltAkDQKkbqEmad7zKqVJGlQmdauIWMjBzeJNEyR1ZV3HSvq+Vw/VSN1Sm6RBaVIXClfrutRD7vofvxDVCN/+kKTVVuUOtMgd8gJXi1d+jaHV9lQEAsHgZahV54oK4KGHpujo7uv3MjGUaPxt1AIhc4Poj+gFCJe6JebpgiN1K2mS5t42DTMnesGVurqukqzlVVQgxaMXYqpM0rTQFZmEZRGTs/czXy3/k7dzXK/UzV2XK2RN0y7YJM3dz0s5wlSI3eIMBYlbrbgVCBqGfsjTBUfqlhy9EHRetZK6QXm6tZK6PupZqZtKOpn56bXAwEldl3rK3SAGWnYWolFF7pAXuAKBQDAADDWhKxAMRYTMLUR/St06N0lz7wfddgnK061U6iZSFrEizc6yY8KlbqlN01yp6zZJcyhd6gY1SXO2FZa6zlhfg7MC0lSI3VwGo8QV0lYgSBPFJmlB51Wt1HVpcKnr0t9SF0qviO1vuTtY6G+R2+gCN6aIeVwgEDQ+URK6AoGg9giZWwqDoEmae7+Q4HUpJHV1XcYwnAs9w6j1O2y1a5LmSl1vnm4tpa67bxClStOoiF0YGLk7mESuELgCQQGiLHVLbZIGjrxNpedZv9QNapLmxZW6Rm82QqEGWbsSoOgx7GSi5H3KlbrePN16SF3Il41C7uZSq6Zn9abRJG48RNp2C/chEAgENUVU5woEtUfI3HKIotStokla0LagJmm55P7KuBd6zlcLTcvK3mTFsrd2UtclSOqW2iQN8qUuDB6xC/1btTuYJK5AICiDKErdsCZp3nHe+96IBTxS1923mNT140pdv+wtE4nyqnStpIGqlVeuWUzqZiVudoxzv3Sp61IruQuNL3gbIV6h0SSuS+Z3UlTiCgSCQUqUqnOF0BUIaouQuZUwSKVuWJM0V+rWq0laMmWhB0Yp1FfqusetVupCtMRuoXMo6Vh1FLuDVeSqiiSqcwWCUhmkUje0SZordVNlVONWIHUriV5wpW7KMD1fCx8hTOq6Z1Cu1HWph9yFxha8URe5jSpx/bi/kyDErkAgGHxESejWi4ESxYqkYtqD+2criC5C5lZDLaRupU3SoOZSt1CTNC/1krrhyPSlTOJq7cSiK3W90QuVSF13Py/1ErvQuDm7g1XiCgSCKqiF1C2hSRr0j9Qt2CTNSzlStxy0GBiJmuTpulI3ZVgoIRW8QVLXH70AwVLXK89c+kvuQmMIXiFyB4Y+U0r/PonXLQKBYPAQFaErqnMFgtohZG4tqEbqltMkDSIpdSttklY+MuVU6cZkmaRZbHx+k7RiUlfxydFSxa57PD/lCNOo5OwWO08hbwcXuiyjy5WZAUMepFf8gtpRjdQtoUoXaih1vWNqJXUHoEmarMewAnJ2w14Ulip1XQEWJnX9VbouxeRuIbEL1ctdiJbgjbLIHawSt19Q45X/rYsrNoFAUCVC6AoGC7qsoct6RfsacuFrhkZCvDSoJQ0kdSXP4xRrjFZM6rpUK3UTSZOYXuwKpPzoBVfq6kohuRsuddVMNa6dU6Xr4pW7hcQuFBerjSh2BQ6Z3xMRtyAQVEY/Sd1AoQulSd2gMV7JW4nUdRkAqRtGMalrGiaqb752pW45TdJcvHK32qpdqI3chcJStV6iN+rNztyfvZC6AoFA0HhERejWAyGJBUMNIXPrgdFX3zxdKC51/R/h9EndQlW6/vuFpG5Qk7R6VuomUhYxVaaaPF1X6uqKTNIy0WWFREaM5kvd3HX5stUrd+sldr2PF8RAN1ATZBFSVyCoElkduDxdyK/Adc8JwqWu/36pUjeoSVq1Utet9vVRS6nr4krdVNJpfJpeC5Qmdd37Xsqt2oX+k7teiknXSl4G1UrkJsz6xyx4f+ZC7AoEAoGgHOolXgdC6IrcXMFAIWRuveiPJmkQLnWDqnQDzqtaqetSSOrquowRUs2bM15TSKTKvfqpXZO0QlLXH70AwVW0pYhdZ3x0G6gJsVsbvD9HIXYFgjKJYpO0oPOqVuq6FJK6FTRDK0Q9pK5LuVIXCotdZ3vhql2Ihtz1E/UK21oixK5AIBA0DlGpzhVCVyCoDiFz680gkrqFbrvRC0FS1/01c6Wupiklyd1CJAyTWE5+X32lrntcr9SFysSuM77/G6gJsTtwCLErEFTIIJW6tpnIrvdGLwRJXRdX6hpFGqgZfaAXec2AI3UVPYYdkJ0bRj2krrsNcsWud71LKVW7UF7eLgRXsdZD8PYn/VGdG4QQuwKBQBB9oiJ064UQuoKhwIC+zLrsssvYdtttaWtrY/To0Rx22GHMnj17IE+pfhh9WYFa0f6JrNgtRDLkMZK9gR+79J+TbSQyYhccWevK2VJum4aZEbvu+mTSXSySSQvDMDMyN/s1uz6ZXhIpy1mSprOknCWZskimLBKeMX1GeknZ6cWiJ+ksfSlncccmTWdJWM7i3s8slknScs7Llbop03YWy8oRse56LynLzotIME07s/jxHzNnm/u4BQRg0OMFYZhWjtwtBSEea4+qSJlFIKgFQ2IuldWsQK0ERcuK3RAkWc2I3fz99ayg9Z9XoXH++2mpKymxTKUuaiwre5VYVuyqcWfRm5xFc5d49g3isG1a3BG6eswzxt0Wy1kkPYaspRddTy8xZ4mll8x2DVnXUDXFt8iomoyiKSiagqormUxdTVPQNIW4kpW1ccXOEbPuNu8Y//og3OP4JW/OGDl3KZWYkrs0IgMtpPus7CIQNAJDYj4VCNIo1byuqtU5SA06wYagSAP/MxUMHQb0t+2ZZ57hzDPPZNtttyWVSvGTn/yE/fbbj/fff5+WlpaBPLX60R+VujVqkgbBlbrlNElzK3VVTSWZdN+p6o9fO5m+lElcrZ0wiyneqtzcytpSq3UhW7FbTrUukBfzkLc9/XilNk4rp1JXiMf6ICp2BbVgSM2ltajULaFJGpRRqRt0ToUqdctpkuZW6qYKVOO6lbpVZO1WEr0AzmyeMkxUTUl/lTNN0rwUq9R17mefD4MapdUijgHKr9p1cYXuQAvSRkVU7AoagSE1nwoERKNCdzDFLTiPm3UdolJXUE8GVOY++uijOfdvueUWRo8ezaxZs9htt90G6Kz6iVpI3WqbpEFFUrfcJmleBkLq1iJ6wYtX6nobpbkCtpDYDZK6EC526y11y41eEFK3fkRZ7MZkmViJvyt+UgG/w4LaMiTn0mqkbgnRCxAxqetSSOpWgxYDI1GS1LUSCWQthmUknCrdkHGFpK5hmHlyNkjGhgncWovdwSx1BypuoRBDVuy6VfIV7VvbUxEEMyTnU8GQRwjd+iHEbn3QFR096BNzJWAohV//NxKRqgNfvXo1ACNGjAjcnkgkSCSyEQCdnZ39cl51xegbuDxdcKRukTxdyJW65TZJc6WuN0+3VlI3kTSJ6YWvUvoMiGv1lboO+ZW1pTRNg+LVuvWSuqJKN5pEWewKok+xuRQG0Xwqq3XN04USpG6xPF13HORK3VKbpPWn1E1TSOrKegwrIGe3mNQ1DTMTveDFK3az2bnZbF2XasXuUJa6URS6LkNW7AoagiF5bSoYkgihW3+E2BXUmsi8bLIsi/POO4+dd96ZzTbbLHDMZZddRkdHR2aZNGlSTc9BUxVOP2p37r3+HO760zncd8O5nH38XsRjhXP2SmHnrdblb787jX/+6Rzuvv5crrnoWNZfey1nY5TzdAMydV28Wbn++0G3g/J0gYzU9WfqZhcrNFMXCM/T9Yzx5+m6mboAfe5x0l+TacGZsHLvZ7568nQTngxar3SrNlvXTym5umGUmqdbKsUeT1BbhmLG7h//+EemTJlCPB5n++2359VXXw0de+ONN7LrrrsyfPhwhg8fzj777FNw/Omnn44kSVx11VV1OPOBp5S5FOo/n1qSwsJEjPdXqXywSmNxIgY1yUWTWJXS+aQrxrsrVOb3xumTm+qepwtUlqcblKkbtp8nO7dgpi5k83QhPDe3UJ5uaKZufp5uaKZuhXm6QGCmrjdX15+t68/EDcvSLZSxW26+bqk0SqZuI0hnkbFbe8R8WjlRuDYF6OmDL1eYfLQwyeJVFkmjNq8HLUti2Wqbjxclmbc0xZoeyL6VJxiKDOYM3ahl8yqSmlkE0Seqc2lkfnvOPPNM3n33XZ5//vnQMRdccAEzZszI3O/s7KzZpKlrCn/77Wk8PrebM+/9EMsGSYJ9Nh7P7Vd8m+O+/2d6+yoryT7pazuzw65bc+nTn7GyxznG5JHN/Oanx/Pra+7jlbc/cwZGMU834LwK5en67wfddvFW6rroukoyaaHrcqY5WhCappAssB1AV2USgWNk4qqUkbh+YqpM0rTQFZmEZRGTs/czXy0TXXYmhYRpZT6C7q9cTVlWTlVtUGVryrLzqmcLVeoGVemGHdv7GCCqdBudoVCxe9dddzFjxgyuv/56tt9+e6666ir2339/Zs+ezejRo/PGP/300xx99NHstNNOxONxfv3rX7Pffvvx3nvvMWHChJyx9913Hy+//DLjx4/vr2+n3yllLoX6zqc9lsorC5L88N43WLrGmS/Gd8T5/Te3YOuxKjqVViNIzO+N87273+HVz1cCzvP1qbtM4ZQdJjBKS89VdazULTt6AfIrdQtFL0DxSl0XN08XspW6bm6u0Vvea4lkomClrwTYSW+8QvGPthV7gemt1E0lnbnajWAAR8jmVuAGV9j6xxVb7x6rUKUuOEJ3sFXqRrlC14+o2K0eMZ9Wx0BfmwIs74T/u+9dnpmzDABNkThq20mcude6dFQR4dvVCw++tYgrHptDd/r5d9Nx7Vx11JasPUrFZnC+xhQUR1To9j+iYjfaRHkujcTLo7POOouHHnqIp556iokTJ4aOi8VitLe35yy14jtH7c4jn3Xx8LuLcQsZbRue+GAJd763gnNP3K+i444e0cZB+23Lxf+ZkxG5AHOX9zDjvg/46TmHIUm+C4r+qNRN9lVdqWsbiaKVukHbClXqJpPu4lTpApkLu+zX4CrdRMoikX5BUk6VLpBTpeseq5QK3aAqXX/lqr+ittQqXaCiKt1C1KNKVzAwDNaK3SuvvJLTTjuNk08+mU033ZTrr7+e5uZmbr755sDxt99+O9/97nfZaqut2HjjjfnLX/6CZVnMnDkzZ9wXX3zB2Wefze23346mVf9piyhS6lwK9ZxPJT7vlDj1b7MyIhfgy9V9HHfza8zvqtwkLU7qnHjLrIzIBecTFX96+lPuen0RhpT+dw2qiC2HEip1JVmtvlLXP67cSl0lll+p66/GhazUDarUdbcHVunGs28Oh1TpghO7ACDH0l/T+8i68zNU3WrczFfnpac3T9cbv6B51gdX3+bPO+HVuMHr3eMUqtKF8qt0oXFkaSMhKnYrQ8ynlROFa9POHjjrjjcyIhfAMG1ue3keNzzzGalUZa//JGRe+mQVlzz4QUbkAry/sJOj//wKSzvFH9pQJyoVuvWopo1aha4fUbEbPaI8lw6ozLVtm7POOov77ruPJ598knXWWWfAzmXvXTbnsQ+WBG579uPl7DR9w4qOe/xhO/L31xcFbus1TF6ev4ZdtlkveOcoS10PhaRuKVEMfqkL5EndUqIXgIzQ9UcvABmhm0hZ9BmuvC0cu5A0nSVI6PpjF4CSYxf827PjShO67jED14vYhSGHK3X9ldyNRjKZZNasWeyzzz6ZdbIss88++/DSSy+VdIyenh4Mw8jJt7Msi+OPP54f/OAHTJ06tebnPdBEaS7tsTT+9PSnBD3NGKbN31+Zj0ElL1gkFqwy+HRZd+DWG579jCW9vhfoUZa6hcYFSV338fxSF/KlLoRHLLjboKroBSA/diEdveBug9KErjd6wUXzNU4LErphUjeIsPXusYpRidCNqtSNcuVwKQixWxpiPq2MKM2ny9YYvDl/deC2O16Zz4quyv4IVnZb/O6xOYHblncneXt+J5KIWxjyREHoQn3ka9SFrosQuwNP1OfSAf3NOPPMM7njjjv497//TVtbG4sWOdKzo6ODpqb6NfYIImk5lbhh9KZsZFnCKkGEeVln7TH8582Vods/Xt7HlImjeG7Wx+EHqUX8QrVN0iD3I5hFmqSBI2aDoheCthVqkuZGL7i4H8N0vlpoWngkQ0xXSKRyt8U0JVOl6xAcuxBXZRIpKxO74McfuwCgy0rZsQvg+/h8mbELEN4gTcQuCKKCvylILBYjFst9Xlq2bBmmaTJmzJic9WPGjOHDDz8s6XF+9KMfMX78+JxJ99e//jWqqnLOOedUePbRJkpzaU8K3l+4JnT7WwtW05OaSEe5rz4kmY+Whh+3sy9Fr2FB0DQZ1JCsHBSt+iZpkBu/UGqTNPe+txkajtStW5M0o88RukHRC+nXE0EN0qxkMlOl68dKGqiaQsowPV9lUuk3Vv0N0lJJMydyAYJjE4LiEvzN1Iqtd4/jbBsaTdIaKW6hEEMxiqGUuRTEfFopUZpPv1wVXtCTSFl0JVKMruDNUSNlM29FT+j2N+avYp+pw0XUgiASkQtQn3iEqEYuhCGiGGrPYLg2HdCXPtdddx2rV69mjz32YNy4cZnlrrvu6vdziRWRUHG1fJELsGjJSiYND5/8J7RrLF4a/K5rHtVU6lbbJA1KqtKF4k3SCt02PRdu/gZpzm0rMHbBe99fpevcTm9Lxy642yEbuwDkxC6U2xgNcpujZb6PvEiF4lW65cQuuMcMXC+qdAU1QPFEOpS7uG9ATJo0KadJyGWXXVbz87z88su58847ue+++4jHHas3a9Ysrr76am655Zb8SJtBQpTm0rjqZMKHse6oFprUCp4jbIu1h4cfN67JxNUiL2mqqdQto0laWZW6YU3S/JW6LtU0SYPg6AX/+qAq3cw2T5Uu5FXpQnDsgrc5GuRW6BaKXQiq0K13lW4p0QvlEsVK3agJ5mppiIpdNZb9uyx7cf6e+mMuBTGfRmE+XastvBBHkSWa9cqeVFRFKnjsjca0CpEryCAqdKOHqNgFVdbRKlxU2Xm9OhiuTQc8ZiFoOemkk/r9XF55/SN2XHdE4LYtJnTw7ofzKjrubfe/yNFbjw3cpsgSe6w7jJmvzC7voPWWuuVGLwScj+17jHKFblDsQs5DRljouviFbpDUzblfp9iFsGN7H6OY1DVMS2TpCqpi/vz5rF69OrNccMEFeWNGjRqFoigsXrw4Z/3ixYsZOzb4edTld7/7HZdffjmPP/44W2yxRWb9c889x5IlS1h77bVRVRVVVZk7dy7f+973mDJlSk2+t4EmSnNpq2xw1h7rBm6TJDhl58noVNJM1GadkfHQC9Cjt5vEWvES7VSdoxeAcKELpUUv+Mf59/FFL+Stz1lXgdDN2e4TulCR0M2cjk/oOrcLC91isQvOutpk6YYdK2d7BVm6IIRuf9EQYrdCSplLQcynlRKl+XRMu846o4K7nB28+TiGt1T2hDK8ReKsPYMj/pp1he3XHSFkriAHIXSjixC7lTMYrk2HyIeSinPNbf/llG3GsPWkjpz1U8e1cd4uE7niL49UdNy5X67go/c/5YxdJqN5qn/b4yqXfmUjrv/7TMwyJFkOAy11i5xPMaEblKvrHRMmdAs1RvPeHyihG5ahC8FVuv7tpVTpmqYtmqMJGgp/g5Cgj4Xqus60adNyAuLdwPgdd9wx9Ni/+c1v+MUvfsGjjz7K9OnTc7Ydf/zxvP3227z55puZZfz48fzgBz/gscceq903KEhjs8FIhUsPm0rMUynbrCtcc+SWTK6iN8y4uMEdp05nou/TLgdtNpYzdp1MTCpDEkchT7eUcyojSzdvfQSFbliGrnO79MZo0D9VusUYLFW6g5nBJnZLmUtBzKeDgWGtEjefNJ311mrNWb/7hqP48YEbEtMrfJ0t2Ry4+WhO2mky3rS1Ua06f//WdoxqF3pAkI8iq5GQukLohiPEbnn8f3vnHS5Fefb/z/Y9/XDgcDh0pAsKCIKgBowkJLbgm8SSAhrfWCKJhGiiyRtLzC+kGEM0vDGaCMbYY0uMryUgGBVRKQo2ihQph87pZ+v8/tizu7OzM9v7uT/XtRczzzzz7DNnmb13vnPP9y6Fa1P5pLtpbXfxjR/8iRuvOpfvz5pIi8tHtcPCex/sYt7193K0Wd9baPKJgzlxZH9aWjp4ac2HdHZFX0z+4p5/cdE5p3LvV8+kUzFjs5joamtnyV+e442Nn6Q/eU9X9v10jbx09fz4VPOJ5aOrXQ8uq9vUPrpaD1273azyzo320LXZLLg9Puwqj9ygh67DagkVRgt66Dqs5u7CaGEPXafVHCqMpvXQtVvMuPx+HGaVd67KQ9duDgQGtYcuRPvk6vne6vnPGnnp6hW90nrzGr139H7R76HF4/Mn5aMb6/0EQcuiRYuYP38+U6ZMYerUqSxZsoT29nYuv/xyAObNm8eAAQNCj8L86le/4uabb+bhhx9m6NChIX+7yspKKisr6d27N7179454D5vNRr9+/Rg9enRuD66HUG3x8OXx1Zw54nT2Nrsxm6F/tZ2+Tm+MrFwTXpMNBRM2vKDnY6b4GFmt8OS3J3Oow8+xDg/9a530cfipsercYEyETPjpQkxPXUM/XT0v3eCctF666j7qdZVnbshHN9ge9NENtTnDPrruzoBw6+kMxGtPjPbQ9u73cqu3dbd5XJjsDhS3K5SFG/TQ9btdmB0O/C71tkgPXSDCRzfooQsBQdfbfUM2KOgWu5cuBATdQsiMLRX/3EToaR67Ek+LHYV+vcw89O0pHGn1cLTdQ78aB7UVFipj2PeaMePxgdUMikn/i6mqHK773AnMnzGEvce6qHBY6Vtto1eFGZNJkjEEYwrBR1c8dOMjHruZo5BjqYi5Kk4ePZCTxg5m1dYj7Gl107/SxpkjBjDpxMH8+40PI/qeMLAPd/z4UrYcc7NxfzsDyq08fOnZ/N+K9dz72OqIvjWVZZwzawK7jrtYu6cFq9nErGG1nD97Em++tyMlL94o0imSlmVBFwKibiKCrl5bpgRdAJfblzdBF4gSdaU4miBEcvHFF3Po0CFuvvlmmpqamDhxIi+88ELIeH737t2YVf+n//jHP+J2u/nKV74SMc4tt9zCrbfemsupCyqOeyxsOdjOk+v3YTGbuGjKABx9ndTbon9QHvXY+eSYlwfX7qDN5WXuhEamDK6m0eECzaOebV4Lx7r8PP7OHg60upk2rJbPjamn2mrGRBqpdzkqkmZYIE1P0FXPJ5agCyHx1lDQhYCom66gC6o+mRF0AfQKoxkJuoBucTSIFGSNhFg98TdWe3CsWIIuBMTBVARdyL+o25ME3SA9QdiVeFr8uD0KLZ0+nt6wj93HOpg4sIZzTm6kwhktuiqKiYPNfp5/bw9v7TzGiL6VXDRlIA01FuxRD5KYaO/y8/bOY6z88BDVZRYunTYYh81BRYr5QULPQQTd4kKE3fQo5FhqUhSlaG+/tbS0UFNTg2PCVZGPGKbAicMbue2Hl/CDZz4MZXEC2CwmfnXBWO78w1Os+yDgm1tbVcbDv7+GG/65hcNtkRdgC2cNY9ObG3n4n2tDbX//w7XcvXY/HzW1RfQ9Z1xfRlk7uemOJ9OaexSpZunGE3RBX9ANbdMRdTVzMWneQy3iBpf12iD86GWwzW4P/hs4eYIZO+F/I9vtNkvosV9H96ObDmv3NqsZhy3YFugTKKgTuHgLFtYpt4eL7AT72bsFTYc5cj30rznyCsmhEUD1RE6tAKvfJ7pNL0tXb7x4Y8d6Dy2JCrqJvJ+QHi0tLQxtrKO5uZnq6jSeZ1eNV1NTw8p3d1NZldp4ba0tfHbC4IzNScgOwc+6ed82qqur0hrrgNvJgsc28/bOYxHtZ4+p55dfGk29PWzBc9Rj53erPuXBNyN96YfXV/Dg5ZPp7whn3Hb6bfzzoxZ++OTmiL615TaeuHIqI6s8aMXflEjnAiWOoAs6Gbqhfd3Rbdq+2j7adW/gbxsSdFVtgf7dy95uYTZomeQJ/hun3dMFbpemT3Bb2L5J6e7j97jwuwNz9AfbXOpt4b+XN2StFPw38FssojCqO/oiSy3qgr4gqyfEGgm38bfFj2GpPNKfb0EXep6gq4fTDB1eha+97c94LD325nKqK40LOcYco62DXqddJrG0wAl+1k1H96X9Ofl88NqWFr7z0HrUeT8VdguPXnUaI/vZQ962JkxsbXJzyZ/epF31PWk2wR+/cQqnj6zGojq/DzUrXHrvW+w9HvlUy/fOHsH8GQMpF0FXSIB8C7pAVsTXUhR09ci2sNva0srwhtEZjVvB79hVn7xMZZW+p3g82lrbmXXC50oinpbovejkue7yz/Pzl7ZHCLkAHp/Cz1/axvcunxNqm3fhDJa9vT9KyAX4/eodXPqlGaHKdJ+ZMoJ3D7mihFyA598/yOBhA+hdm9p/REPS8dGNh5GHLuj76GpIpDCaUYG0THjoBj/fVD101cvJeOhqfXSzWRzNyEvXCCmOJsTDajan9RJ6EGYrq7ceixJyAVZ8dIh393eAKfh/wsTuZl+UkAuw/VA7D721B48pnE50yGXhpqffj+p7vMPD/zz7Ace98QuTJXoMKZNOcbRECqNp++jtg4GHLoSzdNPx0A3aLWTIQ9fIR9fIQ9eqqeCe6eJoRmPEGiuqT5F66bp8hSEq55Os+utaHOm9hB7F0TaF7z/2Ltqf4e1uHz94/F2aO8IbmtsVFj32boSQC+BX4PuPvcvRtnBfj9fEXSu2RQm5AHet2Mah1vwLdEJxIB66xU0xe+zaTFZsZltqryI8XiPkKrubPn160dQSECoH1jr5yikDOKFP4O750XY3ldVh8/kzTh3Df7Yf0R1HUeDDgx2MGtIXgAs+N4XnPzwEBCp5961yUFcRvvj697ZjnH3amLTnX1NZxoC+NViDBWcKRdDVmUcsQVevLZ+CLhAh6AbtFpIVdCGyMBpkrzgaIMXRBEHIC0ddZh5QibPnjO/H507sG1pf/sZu2n3dP6IsNh5ft9dwrEfe3sORru6YZjLz3p4WfN3fRZUOK401zlBh0bU7jnHclaGsf5MZzGkIw/kUdOMVRYOCE3QD7ZGCrhaLpj0RQTfbxdHiibpOs4i6giCkzu6jnXR2X5eM6lvJV04ZQGNN4Lt2y4E2mjvC10fHO7xsPRidOATQ4fbx6dHw9VlLh59/bNwPgMVsol+1k+qycJx5+f0DmDMmEcjTeKWOCLqlQTELuz0Z+bS68aPw2dH1/PS8EznU5mbXkXa+OmUQfasd/P7lLfgUBZPJhKIEHmiJZU7h8vpDHq12mwWXx883ThvC2WP6sutoBw6rmT6VDh56cxdun4LNlvrHMGnMQG64+jy8FhvHOz0M6VXGune3s/ief+FJtTBaOh66EO2jqzMPtYeuGr2CaNrlTHjoQsAmIZ6HLgTsFrq8SshDFwJ2C0E/3UQ9dCEs6Bp56er56EJxFUeDxKwXpDiaIJQefiUQA5+6ZjpVThsf7G/BYjLxoy+M4WBrF797easqy8hEh85j80FcHp/KNMFEl9fHiL6VfPezI1CUwI3WQXVlbD/YzpIVgTidDke9Dg51KGw90EbvSjuDe1XS6OjCnMpjaOl66EKkhUKyRdG6rRV0PXQhXBgtHQ9dCFguZMBD1+9xYbbbQrYLWv/cwJ80EDfVPrpA3oqjGY0V1SeNAmmQX1E1+N75FpcFoSfi9vr51ulD+MZpQ9nf3MW+4518bdpgepXbWfjoBtQ5FPHinzq5ROnuf+1ZI5g8pBe7jrRT5bRSbrfy5/98QocnvS8dny+QVbz9UDsdLh9j+lXRq8JMmVg3lCzioVtaiMdu8SBibjc1DjM/OfdEvv3gOrap7mwO6V3On+dNofl4C0F74a079jOufzXv72vRHeukxkpu33kAgP+s/YjbL53Na9uO8K0H3g6JwA6rmZ+cO5bGSisLn3ohpTlPPWkoP/zuhdz0z49p6QqfaLNG9mb5r67gmzfch79IBN1YIi4EfHKLUdAN/Tm6f0SpRV21l67L548QdEFb+Cyx4mgQ6XObj+JoEBB1pTiaIPQ8ejkU7ps3mac37OMPK8PCrdVs4ifnjuXXXz6ZKpsb/IDfw39NauSZjft0x5ozroEae/cAio9Th/Si9otOfvT39zjSHhYypw6r495vTqHanvr3yAF3GT96+kNWbTkUaqsps/HA5ZM5qRdYyLGgq4eeoAthEbdEBF0r+gXRwn9WS4SPbiEUR9MbK6pfCgXSQERdQeipnDygmn7VTr5239rQ06MA4wdU84dLT6Fc9RBITZmV+ioHh1qjn7C0mE0M6xO29Cu3m7hv3mQee3sPS1/ZFmqvdFj5xYXjGdFQiT/FgqIeL7y5vYXvPbKxu6B0gG+eNpjvnn0CValZRgtFQCkLutBzfHS1iLBb2IjNQjcD+vXmhr+/GyHkAuw60sF3H9lA77qaUNu9j6zi2tMHhx7vVPPFE/vyzoZtIbFw85a9uH1+/rZ2d0Q2r8vr55Z/vE+fqjI+bYr2FkyEG79zPtc/81GEkAuwausR3j3m5QtnjEtp3BCqYiaGxLJciBovtuWCkbWCej1XlgtAhOVC8AdJMpYLwWXtemhZx0s34ph1bBfS8dLVI5btQjwv3Xgka7sg1guCUPxYCMTNu1ZsjfD58/oVbvvnBxzpcBPaoPgZ07ecUwbXRo1T5bDy3bOGU24Ki7Yms4kbnng3QsgFeGvHUZ57bx+V+vaxcXFj477Xd0cIuQDNnR6+8Zd32O9OI50o25YL2n7JWi6E2grHcgH0/XODHroQEHS1XrpqbDZLxr10Y3nsGo0V1SdF6wUoDCFV7BcEIXe0unx8+6/rIoRcgM17W/jZPz/Ap4SvQ3tXmvnFheMx6dxTWnDWcGrKw1885Q4zH+5v5cX3myL6tbm83PD393BaU/+yOdTi55q/bYgQcgEefHM3r245ikmkh5KmVC0XsjluMSFWDIWHfKN20+X1s373cd1tHzW10qb69bp7/1H+d9n/8cevjmf2mHp6V9gZ1VDJTZ8bztQ6E7+457lQ34vOm8qfXt2hO66iwOPvfMrs6cl75p4wsA9727whLyUtT25s4uLzpwdWUvXPDZKqoKtXEK1IBN1gdm4igm6H268r6Lr8+qJulMCbgeJoel66WrJRHC0eUhxNEHoW+9127n31E8Pty17bwXHCT230tbv446Un8z/njmFwXTl9Ku1ceupA/rlgOkMq1VmtJnYebudYh36m6zMb9nE4fg1OXQ52mXlo7ae629pcXj7Y32ZYaCwhClnQjWgrDEHXqCBaYDnyZ2sqxdHy7aUL6Qm6IuoKQs/gUKtLt0gZwCtbDtKielxAMSmcOqyKp66Zzpkje1NXYeekATXcN28y35g+EKc9/L10tM3PX17TvzZ1ef2s+eQwphS8bs2Y+cfGfSFvey1LX9nO8fZsVRcUCgURdHsGIuwWBiX/1z9hUB8eW3I1jjInXR4f5XYLH360i69+/76Ifu0uHyYTfGFcP849uRFz963NFzY38a9N+2lzeXA6rXR1Z8GuWPMhFhP84NvncOUZQzEDK1/bxK///AJ+VRDr07ua/Z8eN5xfU6uHPnVVSR9Xn9oKmlrchtvbXF6cTtUFXVBETcVyAeLbLhhZLmjtFoJzScJyAYiyYMiF5QKA3WrG5fHFtFxwdhed07NcCBK0XIjwz9V46RrZLoC+l67WIiG6j74lgp6XbjzbBdD3thXbBUHoOXgt5exuhQ63F7vVQpXDQqOtC1QWBF0ehabmLob0Lmfe9CH0ry3DhIkdh9t4cM0u9jd30e5SqA2FE4UGexdfmVDPrFH1eHwKNU4z/cs8oC4aaTKzr7ndcG5unx+XN7WbQR6fYnhjFGD30Q4Y7oy2OUiGdD10fZp4H28uyVguBO0WoGAsFwLbPCqrhW5/3G7bhcBy2Es3nu0CpO6la2S7APnx0oXCsF7Qvn8hiMyCUCwca4E2tx+310+Fw0JjrRXFFHlCH2x1YbeY+dLE/nx2bF8UBXx+hac37GXlRwfpdHuB8LWeww6jGp38fO542l0+yuwWeldZsFkjv2R8foWj7cbXkDsOd2DChEKyMdXEtoPGcXp/c2f3dYP8xi91goJuPm0XsuV321N9dGMhVgz5o6TF3MnjBvO3313Nr//vI1784AA+v0JtuY1rZ41g079u56RzfxrqW1tu4zdfOZlNe1u44Yn36PT4cFjN/NcpA/jdRROoq3CEhFyAG686h4YThvD9Zz/mSLsbswlmjarnsbu+w/wb7uPI8UAw2/rJfsYPaODVLYd15zhxYBXP/udA0se2c99RRtYbGw8NqC3j0BEdT99UPXQTIVlBFyLmYiToatcLUdCFxD10Ywm6ELs4GoRF1VwWRzMaO9Z7aElW0AUpjlYoWC2mlD8L+QxLg33uct7ccZxf/t9HHGx1YTLB6cP7cNsF4xheZQZ/4MKwuszMhZMGMKKhkt++tCVkXTSufzW3fWk8Ow63UeM0EbpGNFnY3mrlx89sZu2OgOXQwF5l3H7BiUwd6KDC3C2AKn5GNxjf+Kwtt1FuSy3dscxqom+Vg4M6XoMAJw2oCQvLhSzoplMULduCLgRE3TQEXUCznHhxNND30tUTdCHS/zaWcJtPL10oHFFXOwcRdg2w2PVtThLaVy6QSwMze4/4uPUf7/P69sMoCjRUO7jxC2OYOqwXddXhnkP7VPCHr03i+U1NfO+RDXh8ClUOK984bQhnja6nyhn51EdrBzz+9l7uWf0JbS4vNouJ/zplAAtnj6C2MtzPboXh9RVsP6QvvE4dWpeCkAsKCqeP7M2/Nu3X3T5+QA1Om/wm7Enk20dXBN3ck6tMXZvZhs0c/8k3o31LhZK2WfjrHVfy3Yc38PzmptAjH8c7PPy/5z9k1dbDPPrbK0J9Kx0W3t5xjAfe2BnK0HF5/Tzy1qe89P4BKh3hP9Wp44cwYORQfvnv7SHvPr8CKz8+xOJXdvGL678S6rvx/Z1cd/ZIXQ+jaqeV8yYMZM27+o+6xOLg0VaUzg4G1+kLulecNpC/PPqK/s6p2i7Es1uA5CwXdOZiZLmgt65tKwTLheBysB+EfXJd/rD1QqK2C5CYl652u57tgtYWIZbtQiwvXSP03kOL2C4IQhFiLWPzvjYWPf5uSPBUFHht22Hm3f8WO9vDP4p6m9o4e2xfvvfIhggP+vf3tfC9RzZw1ui+VCrh9r2dNi66962QkAuw51gn3/rrOj464gNTMPYq1FU4GduoL+heM3M4vctT+wHZ4PRx/edH6m4bXl/BsDoHqC9s03mEMNuWC9o+hWK5EMzOTcJyIdAWtlxQ2y7E8tJVk4rtQqA9OduFfHrpQuGJp0EbhkIQmQWhkDhwzM/8+9/itW2HQ7VUDrS4+P7j7/L+vlYsqjyraqeVB97YyTMb9+Lp/j3c6vLyx9Xb2Xe8i14VqqQXr4mH3tzDHS9toc0VuP7x+BQee3sPNz65mTbVZVhdhY1Fnx+tO7/GGicjGypTFHP9nDmiN73K9ePcj+aMpsIpYm5PI9+2C2K5kD/MYsGQdUpWzB01pJ7D7R427W3W3b70lW2MP/GE0Hqby8ff1+/R7fuvzfsjPHOvuHgWf16j33fboXYqe9XQqzogst628L94fdth7vjqBAbUhrNTxw+oZsklk3h75xF+du15SR8fwI2/fpxbPz+M04fXhdp6ldv40ezh7Pr4EzZ8pD9HoKAFXTWJ+OYWi6CrFnWDSHG0+EhxNEHIL7vaTPz6xY91t+093snmfc0hIfCwv4o/v7YjdOGpptPj44l1e2gzdacemSy8/smxqIJmEBCLf/3iFo57wj8ED7e7+eGcMZw9ti/BBwGqnVa+d/YI7FYz+9pSS280KV4+N6qW2y84kZqywEWoyQSfHV3PA5dNpq9dJ+6ZramLuiLoBt4/jqAbzM4NCrqg9c/V99LVK46mFnWzURzNaAz1WNn00oXC8dPVIsKuIAQwYWHzvmZDH9zfvPgx+4+Hr2laOr28vv2Ibt/lb+zkaHu477F2P38y8KtfveUwR9vCJ+D+4152HGrjlvNPpI+qcuhpJ9Txqy+fzCeH2zCR2pdJfY2Zx646jUmqwqb9qp3c+81TGNHPCSmIxELxI4KuIGSHkpXLzz/rZD7Yp2Mz0M2xDk+ER97xDo+hYbuiwJE2N5WVdtra3PSqraSpRf8REoCthzsY3NiLYy0d1NZWsfzJD2modnDtWSOoLbdhMZvYdrCNHz+1ibGN1cybMCylYzxwpJWvXXcPV3z1TL5+4Wg8foWuzi7uf+xlXn1nW/wBUrVciOefC8lZLmhQ2y2AseWCnvUCFK7lAhBhuwABL10j2wWI9NKNZ7sA0TYJydguAEl76cayXQjsZ3wHPijoipeuIBQ2Xh8RWbZa3tl5jPPG1oHPRavLx0aDYqLBvse6BlPpAMVs4dUt+heqAO/uaabTZ6bWClgcbNpzjF+/+BFfnTKIe74xOfA0gM/PU+v3smrLIaZ+9wwwdh+KSS+ri69NrOXs0dNodQW+s3s7FaosXcS8+EzVdqGnWi5A+DdEApYLAH6PKyToBm0XgJCXrp7tQuBPHN9LV2u7AJG2CUZWCYXqpQuFZb2gRawYhJ6MFQtv7zhquH3rwbbu3/aB74idR4z9Zzs9Ptq6PAQ9c1u7vKEkEz0+PdbB4PrAky1ev8IdL21hypBe3HTOWMpsFqxmExs/Pc73Ht3AhRMH8JmRdXhJ/ktEQWFQHyv3zptIc4cPr1+h2mmhrtKMYhIhtydTCJYLQMbtEcRyQcgnJSvmbtqyj898dqrhdpvFFBLYAMrj/KqsclppawtcCHm93oCAZxA0G6ocHGvuAMDj8dBQ7eDD/a38+OlNUX3PHtuXw4f1s4cTobmtkzuXvcSdy15KbYBCEXQ184gn6Oq1F7qgGxxPLdgGvXS1gi6QseJo+qJv4sXR9MY0eu/o/TLvpSuCriDkFrM54El7vENffBzYqwy6f8jaLWYaqp18clj/IrSxxkG5PXC+mxSFYX2M1deGaieW4MWfz0v/Wicdbh8PvLGTB97YGdHXZjHhSNEzN4hF8dDfCWTJVj76DQtc0IWAqFsggi4EsnT97sDfzKg4WrKCLqReHA2y66UL6Ym6hSjoBhFhV+hpKCgM7GUc83qV21D/1O5TaXydZTJBuT18XVRms2AyEbJu0FJXEc7ANZsCMf2dXcd4Z9exqL4D68pSslkIo1BZBpVlFlWLCLlC/gVdyI74KoKukC9K1mbhpTc+ZETfytAjk1rOPbk/7s7w4/1VDisTBtbo9h3Zt5IqZzhg7tjZxCVTBun2rbBbmDG6H7ubAsHxjw/+m/8+4wTdviYTXDJ1EAt/9URCx5Q18mW5oLVd0PHPNfLQTWS5kCwXjHx0AV0fXW0fPdsFtfWC1opAbBcEQcgU/SrMzJ8+VHeb3WJm1uh68ATE2wFOL98+0/hpk/kzhtHb1P1d7/dw3oT+GN3vufozw+nrDH7v+RgZJ6b3zpcXX6l66EJY1C0Ay4VEbRf0fHRj2S5AYl66RlYJqdguBMdLhFK0XtAiVgxCT8CLh7PG1GMzSEqYN30o/arD39EN1U4aa/TvLn5mZD2VqmvT2nILM0fV6/btX+OkT0X4e71vlZV5MWL6zFF98SEF94TskG/LBciOPYJYLgj5oGTFXLPZhMft5v7LplCrMWI/ZXAt3589knc27wy1Wc0Kv71oAkN7R94xHdirjKVfOwWHNXyCzpl5Mp8d28BpJ9RF9K1yWPntRRPBBHU1gYuWZU+vYVy/Cr4+bXBEX5vFxOILT2Lvpwc52mzgJVsMpCPoQlxBF4yLohWLoBuvMBrE9tGV4mgGY4qgKwg5wetxc+GkAcwe2zeivcxm4Z5vnILdbCL4WGgXNk6or+A7s4ZHFP60mE3c9MUx1FfZw09smKy0dnn5+dzxEfYyABdM6E9DjYNjvvAF6MBKH/dfNiVK0A3G9F6WjswddLKUsqAbaktR0IWMFUVTC7rq4mihKRr46EJixdEy7aWbSHG0bHvpQvGIuiDCrlDa2Mwm7vnGZMo03zWzx/blvyYNoNMbvoapdJi5b94U6qsiv4/HNlZx6wUn4vOFT5LWLoX/PmMYY/pFFgmtr3Lwi/86KSIv1mz18dXJxjG9d6U8ASdkFxF0BSEz5P9MyhJD+tex4oMmDnf6+fvV09l1pIOm5i7GNlZT4bDwjT+v5YbPhLNr9ze7+ctrO1h2+ak0NXfxyaF2hvQuZ0BtGfes3s6FpwzEZrPh8Xiw2u18+77X+f7sUVx55gnsOtpBr3I7DquZpa9s45yTGvnGedO466FVAEy64FZeefAGvnnaEN7dcxynzcK4xmreeXcbF960PD9/IC2p2i1AepYLCc5FbbtgZK1gtBwkVcsFIOR7m4rlgtNqpsPt1/XRVVsqBC0XQMdqQW3D0C3oqr1049kuACl76SZruwDE9NIV24Xiw2o2xf3cYu0rFDctHjPn3/0fHr5yOtfNHsWmPcfpVWFnZN8qVnzYxNs7j/KjWf3A72F/u48r/7qOO746gbkTB/DunuNYzCZOHljDkXY3P/z7eyy5eAID7ICtnAfXfMixDjf/+/VTONrhpsPtZVjvCt7YfoTrHtnAPxacQfCpVJvfxcn1Dp75zgx2HGln//Euxvavpr7CziBnHoXcIKn650JClgvG+xa4hy50b3MkbLkAYLbboywX/K6AHYPWdiHSOzfSRxcIWS8EBd3gjd6goBvPS1fPdgGKy0sXIgXdYhBLS82KwWRxRN40SWpfyZQsdsyYefTtnfSqsPPPBaez9WAbxzrcnDywFgU47+7/8PzCMyhzBL4L1u06zrufHuexK0/j06Md7DnWyciGKuqr7NzwxLv89Lxx9KkN3NQ61uHm2oc3cP3nR9NQ7WDP8U76Vjnw+BRu/cf73PjFMfStrQ7NpU8N3HrBiaGYXldhZ1RDFX0qzNgckiwhZB+xXBDSwWq2YTPHT4Yw2rdUKFkx1+f1YzObuf+NHdz/xi5ObKzihPoKlvx7C4e6vW8tKpHBYjFhMkGXx8+B5k4q7BYOtnbSu9KBX1GwmE14PIELLbMJasptDOhVxoGWLpqau2ju8DBhUC2D6soCYp4r8qLsrG/+BrvdwjlnjKe1vYsVa/Urg+eVfAm6CXjoQuqCbtA/V92WjKCrJhuCLkQWRnOoRNJsF0eL7pNccTQ9QTc4dq6Ko8UTkAVBSA8TgScLzr/7NWrKLJwxop4DzV28013obNHsEaG+ZhNUOq20u7y0ubzYzOBX/Bxpd9Pp9uG0m1XnvoLDauaE+koUYPeRDjw+P9VOG0N6V1DljP6xZVNcDCuHYeVWGFrTLUimKIJmgywKuob+uZC4oAvhfgUs6JoJFj4zFnQhXBxNT9AFslocLdCu76VrLNrm30s3SCEXStOj1IRdoWfisJr5xfMf8YvnP2LK4Foaapz86oUPae70YbOYUJ/9Nos5YKvm9XOozUWFw8KB1i6qnFbK7NaI61ir2UzvCjt9qx3sPd5JU3MXXW4fYxuraawti3jCNEjvauhdbWVUvwb8oWJnIuQKuaOUBV3IfLE1QdBSsmLu7qZjDK11YDGb8PkVPtjfygf7W0PbTxlcy8bNO0LrfSsdXHHGCVx0zxpaXeEvlXK7hWWXncoAlWdRe2sHSy89hUVPbOTTo2GbAJMJbrtgHGeM6M13v/9m1Jzcbh/PrHw304eaWUpE0AWw2qwZE3QzURQtGUEXiMjSzVZxNP0+iRdH08v6NRo3artk6QpCUdDL4eP8kxt5asM+mjt9/GtTU8T2OeMawB8QBYdUW/jNl09m8f99xIqPDkb0u3DSAG4+dxwNTh94AXcHl50+lGc27uPbf30nou/EQbXc/bVJ9DWsFeMDX4H+SM6yoAukXhRN269IBV0gIktXT9CF+Fm6WkEXwlm6yRRHg0gRNl5xNKNtwfHiCboQEHXTFXSh8Aul6SHCrlCM+PEzZ3w/lqzYBhC6IRrkggn9qS43ExRUxzRWYjGb+NIfXo+wXKursPPgFVPpVWYL9e1VZuP2ueP57iMbONoejgN2i5nfXjSB4fUVMeZVZF8AQkkRtFzIp6ibrWxaydIVsk3JeuYCPPDkf/jBWdHFx6rLrHxnxiDue2x1qK210833H98YIeQCdLh9fO/RDbSr2vceOMbyN3ZECLkQqCB62z8/wO8nwseo6Ei1IBqkXxQtgbkk4qGrJtiuvmjLl4cuYOihC7F9dEu1OFomvXTFR1cQMk+ZycPCs4fTrzr6Rtx3Zp5AP7Xg6u1i457mKCEX4OkNe9l9tEMlOPrw+hTuffWTqL4bPz3O69uOYDdnQK3KB4XsoRtrn3geuhFtKXjoBl8JeuiGPXIjPXRB30cXAgKukY9uYN24OBroe+mqMfbHTbw4WvxtiXvppuunC8XlqatFPHaFYqK+2so1M6OvTftVO/ne2SOwWcPnvcuj8L1HNkT85gc42u7mxic3oU7jNVvgl//3UYSQC4HrhZ88vQm/Ir+PhcIm3z662fK7FR9dIZuUtJj75Ivr+GDdZu756jgunNjIGSP6cPXpg7nz/FHcuPhhDhwJZ+q2e/zsOhL23FNXGj3Q4uJ4ZzhTZuiQBl54/4Due/r8Cm9+coSzTxudhSPKIQUu6KrRCrrBdT2htxgF3VIvjhZ8n3gkI+iKqCsImWVwuZsnrzqV/zf3RM4c2YcLJjTy1NXT+PaMRmqs4YvHA11W/vbmrtC62RR4BXlwzS6ag0XNbOU8vu5Tw/f825u72N9exNn2hSzoplMULV1BN/hvEoJusCha4OWIWRgtNDWNoFtoxdGMxog3nm6/DP2aL1ZBN4gIu0KhU+GEb505mCevOY0LJjRy5sg+/L+543jimmk01EaeyHuOddLSFb6WUV+bbtrbTHNneNuxdg+b9jbrvmdLl5dPjxVxsW2hxyCCriAkR8naLAT5yxP/4eF/vskXzxhHXa9K/v3mfm7bsD2qn9vrp8Ju4epZwxnXv4bWLg+VDitbD7Txv6u34fb6sVrNeL1+fP6AaGvE8U4PtVWGz4YWD0ERNRXbhWxYLqjmorZbgOiCZ8H1bHjoZtNyITim1k5BWxwtwjtXiqPpjye2C4KQORQ/A5xdfH1CDReO74XVDHbFA0RmAXn8Cq1dXmaNrufSqYPx+PyYCHjS/3XNTlpdXtx+pftWsonmDmNLgdYub/G792W5KJqhj26hF0VT2yglWBQtbKkQuzBa0HIB9LxzM18cDSItE2IVR9P2jdUeb7yofhn00i0FMVSsGIRCpbIMThzoZPGXx+Dzg91mQsGPool4bS4vfSrtfGfWCAb3Lqfd5aXaaWPd7mPc9+onuL0+IPCfW5u9q6WtK7++pIKQKPn20RXLBaGYKHkxF6Czy8NT/94Ys0+N08LSr5/C/67azm9f2hJqnzSolrsvnUTvCjvebrGtvb2D4fWVbD/UpjvWtGF1/OrtLbrbipJUfXQzLehqyLegC4Q8bxMRdAOYYwq66jEhUqhVe+lGeecWYHE0SN5LNxvF0UTQFYQM4vdSbsKwRkpvJ1x71nCOtLtZ+OhGOruFryqHlZvOGUN1mY1edj/4AZ+Lz49r4J/v7dcd6/QRvanWSTItOkTQNW6HhD10kxV0gQhRN5PF0SAxL109AdaoCFqs4mixxovqlwEv3WIrjhaP4HGIqCsUEmaLgtlClIgbZHRDFXdeNJFfPP8hHzWFnyadNaqepV87heqy8JMItWU2asttHNe5QWoywYi+lZk/AEHIEqUs6IIURhMyR0nbLCTDnn1H+MtrO3hrx9GI9g2fHuf3/97KkaPhR1d++b//5CfnjMGk85v69BG9cbW1c/h4e7annFtStV3IsuWCohk/nm+uetnn8YUu2FKxXHCr7BQgvuUCQJfHH9dyQd0fou0UcmW7oN9H3+M2G1668RAf3dxhsZjSegk9hzJcDOxVzv/714chIReg1eXlJ89sZmjvCqz+7u9tv5cJA2t0LzIdVjOLPjeKXpYEYkgxIJYLxh66kLDlAmDoo6u1XAhsi7RdMPLStdrMMb10rXZLSl66Rt63sWwXCs1Lt5TIuw2D1ZHeS+hR2K0mbvvnBxFCLsCqLYf453v76FURPkEbaqz8cI6+xd/FUwZRXSaX/EJxUaqWC9keu6dgNdvSepUK8s3ejWK28J+th3W3rd99nHZ3WDh6ec1HvLfhY/72ramcMrgWkylQWfR7nx3BT+aM4sLv3J2raeeWIhR0E1kuNEFX7aNbbMXRjLx0jRBBVxBKiza/jT+tjrYygkCR0AfX7MRN+EfUYGcXf5k/mXnTh1Bht2A2wcyRfXjymhkMq/ETSOEtEUTQzbqgGzo8jaCbTS9dLYXmpZuuqFtqgm6QvAu7ghCHox1uw6dAn3tvP8faVQksZh+fHdOHe785mdENVQD0r3Fyy/kn8t2zh1NdkYsZC0JmEUFXEGLTI2wWEsEVR+zp9Poxm034uwWmm377JJPGDOTWhRcy4PyxuNxeHv/HGibf9L+5mG7xkQ0PXZX1QyzLhUSWg7YLqVguANi77RQSsVxwWM3dhdH0LReApG0XtNuibBhUtguQmJduIrYLEG2JoOelWwi2C2K5IAjZp8sLOw4bP5my9WAbnV4T9tCvDz9DnB3cNHsIV5w+FIBKm0Jvq4uSEnKDZNlywXjfArdcgO5tqVsuACG7BQgLuv7uG75aL12v2kohjpeu1nYBwl66ydgugL6XrpHtQqB/9LZY4+n2TdN6oVR8dI0o5WMTipcDLcZJND6/Qofbhzovq6YSZo6p4cT+k/H6wGyGhhoLfuQ/uFC8FILlAmTHGkF8dIV0ETG3G4cl4CmkGGi65VZzSMgNsuGjPXzp6hLNwjUiVf9cKHhBV7tftgVdwLAoWmBbd/G0JIujqbfFK44GkV66pV4cLd77CIKQHuVWGNOvik8MBN1x/asps0YH2jI6GRLbJr10yKKga+ifCyUv6AIh/1wgQtQ1EnRBvzhaYN2MUXE00PfSjVccLdAe7X0bS7jNpJcupC7qlpqPbizcJXgfSSg++tcYB0W7xUyFI/oy3o+f3tXq9R5wwgolTzBDN9+irvjoCoWG2Cx0s/L195k9ul5324wT6li7fmuOZ1TApGq3ADmxXFDbLiRjuaC+SMuF5UKXJ2itEG250KG6kojlpRtq9/tjeumqieWlq+dlq2e7oOelqyWW7UIsL10jjPx61YjtgiDkl3Kzh+/MGqbrKW81m5h/2mDspJhdWkpk0XLB0G4Bcmu5ECRHlgsQabcQFHWDfcLWDMnZLmi9dNXo2S7oeelqMbJJyLaXLojtgiAUC/VVNsYPqNbddvGpA6mrlMt4oWchtguCEIlEgW7ueWQVF4ysZs7YvqGLUJMJzhrVh3kT6vndspfyO8FCo4AFXaDoBV0gYUE31eJoWi9dNXqCbjwv3UwWR4tFIoJuIqKuCLqCkA0UTqiBe79xCnUVYRGwodrBA5dPYVClZB6EKHVB16p6yibLgi5E+ueqi6JpRd1w/8SKowXWc1scrdC9dEXQFYTsU10Bf/zGKcwY3jvUZjGbuPjUQVz72ROw6TzlIgilTqkLuiLqCskgNgvduNxevnn9fVx1yUz++OXxuP0KDrOJ/6z9kK8v+jsdXe74g/Q0CthyASJtF5KxXAj656rbsmW5AIGCaE6bOcJyAQjZLgCU282GtgsQ7aWbiO0CRHrp6tkugNYnN9pLN1+2CxDfS1d8dDODxWzW/ZwS3VfoWZSbvXx2qIPnrp3G0Q4vZpOJujILDU4PJiV/j8gVJKVuuRC0W4DELRdAtS0xywUzRPvn2h343d32ChovXbXtAqDrpRttwxC2XQB9L12t7QIk5qWrZ5NQ6F66pe6jmxUsNv2bKQntK9chPZE+1XDX107ieLuPdpeP6jIrvSrMOFL8byQIpUAh+Ohm0xZBvHTjYzNbsZnjFwc22rdUyOtV9quvvsr5559P//79MZlMPPPMM/mcDi63l7v+uoILr/o9F19zF3Ov+j2/vf8lEXJjUeAZumoKIUMXiMjQDW7XZugGllPP0o1nu6DN0lWTSJaudnsiWbqZtl0Ivk8sJENX6CkUWjy14KW/o4vxvbycWOuhn6MLk/ww1UcydCPbg21JZuiGbRTscbN01bYLgX6JZenq2S705CxdydAVSo1Ci6UAFU4Y0NvCqP52+vUSIVcQoLQzdIPjS5auEI+8irnt7e1MmDCBpUuX5nMaQroUsKCraMbPt6AbzM6NJ+iqbRfUXrpBtIJuLC9ddbuRl66e7UIsL91EbBcC/TJjuxDPSzcWIugKPQGJp0WOCLrRgm4KlguRAq1dtWzspRvuE9tLV41a0IWe7aUrgq5QSkgsFYTiodQF3Vy9h1C85FXM/eIXv8jPf/5zLrzwwnxOQ8gEIuhmTNCNlaWrLo6mFnrV7wHJFUfLRZaullwXR0vER1cE3cJh6dKlDB06FKfTybRp03jrrbcM+77//vt8+ctfZujQoZhMJpYsWRLVZ/HixZx66qlUVVXRt29f5s6dy8cff5zFI8g9Ek9LgCwLuoaibi4FXauOcAupeeiCoaBrlKUbOjyD4miBfpkrjpbpLF0j8p2lK4Ju4SLxNDkklgpCcdFTBF0RdfNLocbSojIzdLlctLS0RLyEAsLTlbqoK4JuRIZtJrJ0Ey2Opl0v9OJo2czSFUE3/zz22GMsWrSIW265hfXr1zNhwgTmzJnDwYMHdft3dHRwwgkn8Mtf/pJ+/frp9lm9ejXXXnstb775Ji+//DIej4fPf/7ztLe3Z/NQChqJpwVKFgVdiJGlmy1BN9RXLfJmSNAN2THoF0XTy9LNdXE00M/S1ZJolm4824V8ZumKoFt4SDzNPhJLBSH/9ARBN/g+IurmnkKOpUUl5i5evJiamprQa9CgQfmekqCHCLrd/yYv6Kr7ZCtLV91uZLsAJGW7ANnJ0jVCBN3S5c477+Tb3/42l19+OSeeeCL33HMP5eXl3H///br9Tz31VH7zm99wySWX4HDoiEjACy+8wGWXXca4ceOYMGECy5cvZ/fu3axbty6bh1LQSDwtYEpJ0FW15UvQTTVLN57tQjpZuka2C8WepSuCbmEh8TT7SCwVhMLAYrbmVdTNpcgqom5uKeRYWlRi7k033URzc3Po9emnn+Z7SkKmEUE31KcUiqPp90k8SzebtguxEEE382gzV1yu6HPd7Xazbt06Zs+eHWozm83Mnj2bNWvWZGwuzc3NANTV1WVszGJD4mmBI4JuRgTdeFm6obYSzNKNRTazdEXQzS6JxFKQeJorJJYKQmHRUwTd4PuJqJs6pXBtWlRirsPhoLq6OuIlFCjioRsl6AKJWy7oZOlCtO1CEK2gG9wmxdFE0M0EVrMJqyXFl9kEwKBBgyKyVxYvXhz1PocPH8bn89HQ0BDR3tDQQFNTU0aOxe/3s3DhQk4//XTGjx+fkTGLEYmnRUC+LkiyJehqPXTVJCroRmyLL+hC4rYLkHpxNG2WrppCLY4Wa8yofklm6Yqga4DFnt6LxGIpSDzNFRJLBaHw6EmCbr7eM99YTNa0XlAa16b5NRgRShtPV/gCK+l9XREXY0nh7owskKIzF8XjwqQa3+vxYrVZE1r2eXxRF2dutxe73Yrb7cduN+Px+LDZLKp/A8KhzWbB7fFht1lwef04rGZc7oBQ6rBaQoKu3WrG5fHhUPXr8vhxdl8kdnkVnFZTSLR1Ws0hQbfcHuzjx2kNLAfHgIBQa7d0t3eLpA5z9LagoBta9/uwm8PH7fL5cVjCV3den4LVYgqv+/1YzZHbAU2f7jZzuC0o6FpU/YLjBfpGX1Fq3ztyPyVifDVBQddm0b9K1ZuzkBqffvppxEWO0WMn2ebaa69l8+bNvPbaa3l5f0FICrMV/N74/bRYbODzxOxiMltRjMa22MHnjj0XbR/1utUB3sCNU5PFgeJzRbZbHOBzBbJzvd03XO1lgfhtKwNPZyBme7oi2yEczz1dAUHX7QrHfE9X9G8HjwuT3YHidoUEWr/Hhdlux+8OzNdsd+B3B+Zodjjwd2dnqPsH+tnwuwN/16CA6+2++Wq1WVTL5u5tgRgT/M0QvCEcFHS97vCN0uBvhiBBIbZL9YBMUHzt8kXGJL2+iWyLNaZuXzN0xb4PKmSZQomlIPFUEITCxWK24kvl91Mm3ttkwacYBN0Ses9ip1DiaTqxNK+ZuW1tbWzcuJGNGzcCsGPHDjZu3Mju3bvzOS0hk2QzQ9coOxdylqGr3pZIhm5w2ShDN10fXSi+4miBfpnJ0jVCbBfyjzZzRS9g9unTB4vFwoEDByLaDxw4YGggnwwLFizgueee45VXXmHgwIFpj1dISDwtYVLNMEnHbgGyVxRNm6Fr1bnpGytDN5SFa5Chm4TtgtZHN9HiaLGydNUUSpZuvG2xxozql+CVg2TnZodEYilIPE0ViaWCUDpIhq4Qi1K4Ns2rmPvOO+8wadIkJk2aBMCiRYuYNGkSN998cz6nJWQaEXQTFnQD67EFXTC2XejpxdHEdqG4sdvtTJ48mRUrVoTa/H4/K1asYPr06SmPqygKCxYs4Omnn2blypUMGzYsE9MtKCSeljg9RdC1lyVmuRBL0FW3J2m7EFiOXxwt0C/14mhqUVdbHA2ivXSTLY6WqvVCol66idouiKCbPySepobEUkEoLXqioCuibuYo9FiaV5uFWbNmoSgikPQIsmm54O4Cu8HYObJcUG9L13LBYbfg8vpCtgt6lguAru1CYDlsr9Dh9idkuwABO4Vc2i7o94m2XYCAqJsr2wUjy4V44wqZYdGiRcyfP58pU6YwdepUlixZQnt7O5dffjkA8+bNY8CAASFfI7fbzQcffBBa3rt3Lxs3bqSyspIRI0YAgcdXHn74YZ599lmqqqpCHkc1NTWUlZXpzKL4kHjaA0jHcgFi2i6UnOWCW7WPzRH+HdF9A1dtuxC2UIi0XQDwu10hQVdtvZCs7UJg3RyyXYCAqKv24bfaLTFtFyAgxGrtEpwWRdciQa9vIttijRnVLwHbBYcFXPLkZ16QeJo8EksFofTIt+UCkBfbhXy8bylSyLHUpBRxxGppaaGmpgbHhKsiMz6EwiVVQRcS89A1EnW1gq7OXEya8YPibCLLwSwb9Ta73dr9b0AcDGbahP81h5bt3f8GBVaHPbjevT3YrukHhARdICToBpbD7UFBV2+beiy7Ssh0aERS9Ta7RvBUi7pAhKgL0Z6zWgFWTyDVE1y1gq7RePHGNho/SCxBN9aY+aalpYWhjXU0NzdnpAhH8Dt2846DVKU4XmtLC+OH9U1qTn/4wx/4zW9+Q1NTExMnTuSuu+5i2rRpQOBCa+jQoSxfvhyAnTt36t7NnDlzJqtWrQLAZNL/vJYtW8Zll12W9DGVIsHPunnfNqqrq/I9HSEW6VyQxPHRNRR0IVrQ1ZuLto963Rt+EiYk6Krbg21e1RM0wSdsPMF/u8Lt2rbQNpdm3+B2V+S/gOIOL/tV7UFRN7Csanfp9w/0C/9tvRoRNno9rID6PNEXWmpRF4gSdUFfjDUSYI2E21iCbrwxI/ok4KNbTIJup0/h6g3+jMfS41vfoLqqMrUxWtuoHTkj6TlJPM0twc+66eg+KYYmCAVGvgTd0PvnWVjN9fu3tLQyrO/wjMXSwJiB79gtTR9QleL1SmtLK6P6nVgS16Yi5gq5RwTdjAi66r6QvKibiKALkaJulIirFnjTFHT1+gT6pS/q9hRBt1TEXCH3iJhbZBSLoKvtryfoqtpyJuiqlpMVdMFY1FULuhAp4sYSdCFa1M2VoBtvW6wxI/qUkKBbSmKukFtEzBWEwqanC7q5nEMpibmFSl49c4UeSjY9dMHYRzeHHrrBtmx66Kr7QthHF7JbHM3IS7cYi6PFKowmHrphrGZTWi9BEDJMOh5wcXx0Y3roJjIXtWeu1k9Xz0NX1aZbFC2Wh662LREPXZ3CaKFD0fjo6hVHg2gv3fA+sYujab101aRaHC1TXrqxSMRLVzx0E8BsTe8lCIIgpIXFbO1xPrp6cyiEeaRD8BhSfZUKIuYK+aHEBV11W7YEXXVhtGD/Lo8/a8XRtKKu3jJkpjialmwXRxNBVxCEoiMfgq5eQTS9uRSyoKtGJeiqC6NlujiaVh0GmzsAACchSURBVNQNL6dfHA30xVgj8TXV4mixxgxtF0FXEARBKAJ6uqALhTMPIXVEzBXyh6crdVG3RAVdj8eXsKAL2cvSDRIvS9eon1rQhcSydLXbo/voZ9EaCbqpZOnqIYKuIAgFS5YFXV1RN1VBV72eDUHXVpZchm4Q1XKsLN3wcjhL1+xwxMzSVWMk6AbWM5OlqyUfWboi6AqCIAjFgAi6hTMPITVEzBWKlwIUdIOkKugG193dr1wIunpZuupsX4jO0lW3J2O7ECtLt1BsF/QQQVcQhIIlHxcjqQi62vVUBN0geoJusN3mDL8gcUE3Tpau2nYhsJ5524V0s3SNRNpcZ+nmStB1+wMvQRAEQUgFEXQpSfuBnoKIuUL+ybblghFZEHTVfrl6FaqTEXSDxBJ0M2G7AIln6Yba49gu5CNLN5btgp6oK4KuIAglQ6oXI3GycyGO5YKeqJtNQTdWIVO9zN1kPHSD68H5JJilG1pWZemmarsQWM99lq4R8UTdQhB07XIlIwiCIKRBvgXdQhJRRdgtLuQnkFAYZFPQNcrOhZwWRQu9ZYKCLsT30IXc2C6UanE0EXQFQSgZ8iHoQv4EXZuOX65W0I3YFsNDN0FBVy9LN1vF0bRZumq0gi6kl6UbX7SNtS29uJeOoCtCriAIgpAJ8inoQuFk6aoRYbfwkZ9BQuHQgwTd0FunWRQt01m6xVAcTS9LV0syxdFE0BUEoWToaYIuxLdciNimI+jqZeka2C5A/rJ081kcLf42g/HkKkMQBEEoEkTQNUaE3cJEfmYJhUUPEXSD2bmB5dQF3UBbbrN0Q++VRnG0TGfpJlscLapNRyQOjquHx+ePKeoajVes2CzmtF6CIOSQQhJ04/VJRNANtqci6KrbjARd9TZIyXYh21m6alK1XdCKsakWRzPelrqgm82CaEFfXfUrb5htYXuSZF/m+OenIAiCkB6FIOgWumBaCMKu2WTFkuLLbMrvZ5xJ5CpbKDx6kKAbz3JBvZwrQTdelm4miqNBZrJ0tSQj6CaapWsk6IJk6QqCUGJkWtDV6xtL9NUTdNXtyQq62rZUBd04xdEgdpZuaDnFLN1MFEeD5LN0Y4m6+u2FJegaCbcFIewKgiAIBUm+BV0o7CxdNYUg7PZkRMwVCpMeIuhCbA9dbUE0PUE307YLgfWeUxwtqi1JQTceIugKgpBzzNbCydCNJ+hq+xsJuqH+WRB049kuBNeD80rQdiEo6qptF6L3ifx7F1KWbrB/cu3Ggm48UTebGbpGiLArCIIgaLGYrXkXdYtNJBVhN/eImCsULiUm6AbJpKCbL9sFvSzdbBZHUwuimS6Olq6gGy8712i8ZLCaTWntLwhCDyUdQTeOqBtT0NWbRywP3UQE3VQ9dPXatIJu1BiJ2S7oZemqbRcC6+nZLmjX85Wlm1y7ccwrREE3iAi7giAIgpp8C7pQPFm6agKirkiN2Ub+wkJhk21B10jUTUHQVaMn6KrbkhF0A8v6gi5kN0vXyHYhuE07B8hMlq7WdgFSz9LVUmyCblDItZpNoZcgCELCpHMhkqqga2SlkG1BV138LIi2TU/QTSZLV5OxWwjF0SD1LF0tyXrpFqqgK4KsIAiCkAkKRdAtRlFXyC4i5gqFTzYFXciYoOv1eONm6KYi6KoLogXbICDoFkKWrnqcRLN01aRbHE1LorYLUftlQNDNhoeu+v2MCr0JgiDEJIsXIgUl6IJ+hm0sQTdDWbpBcl0cTZulqyaRLF1jkTbxLN1CFXQFQRAEIRMUgqALxZmlK2QPEXOF4qBIBF2Ib7mQqqCrtVxIJks3NHaCgm4yWbrqdu1YuSiOlqrtgp6PbqEWRcu3iGuxmLCm+LJYJJNYEAqCfHjo5kvQBX3/XL32iD4xsnRDffWzdPNVHC2wbmy7ANnJ0tVrS0YUhuwKuvYCvMIxma1pvQRBEIT8IYJu4WAxmSM8epN7FeAPhBQpnSMRSp90BN10yIOgG/V2Oh666nZtlm6QVG0XIP0s3SBq4bYQiqNpKRZBNxHEgkEQhJj0FEHXSLjVa9faLoB+lq66L+SsOFoyWbpq4gm6kF6WbjI+upKhKwiCIJQChSToiqgriJgrFBepCrrpZOdCzgVdbXYuRAu6WtsFIKagG2jPT3E0SC1LV892QZulqyaRLN1EbBeKUdAVIVcQhIQoJkFXva4Wb/XaUhV01dvStV2Ik6WbTHG0WFm6anJZHE0ryibjoxtL0I2HCLqCIAhCoVAogi5Ilm5PR8RcofgQQVfXR1dru6D10S224mhqYmXp6mfgJp+lWwqCriAIQkIUkqAbr5+OoBvKzlW1BfomIejaywLtqdou6BVHC653k05xtOh9YtsupJOla2S7kE6WblI+vAlcjaQi6Bai1YIgCIJQ/BSaoCuibs9EfuYIxUmJCbrB5ViCrtpDN/JffduFIPnM0lWPk2xxND3bhWSLoyWSpaumWAVdycoVBCFp8iXoasVavb6xBN3ge6Qr6BptS9R2QdsnQUFXL0s3E8XRtOvZztJNrF9i+0L2BF1BEARByAaFJOiCZOn2RETMFYqXdATdeKJujgVd9bKRoBtYNhZ0tbYLqQi6mc7SzXdxNNDP0o3cHl/QTbTAmpGom21BN5/F0QRB6IGkI+hCaoJuED3/XE17QoJuorYLQWIJunpZuga2C5B8lm6miqNB5rJ0i0XQlexcQRAEIVtYzNaCEnUlS7dnIT9xhOImnaJoORZ01WRD0A0sRwu6ydguQG6ydEPvlcfiaJHbYwu6iYxhNFaQRARdsV0QBCGnpHMBkmtB18A/12RxpFYUDfQFXW0Gr9ZHV892Qd0fUrJdyGSWrp7tgjZLV02qWbpGPrrx9gvuq0cigm6yiKArCIIgZJNCEnRBsnR7CvLzRih+ikTQVYu22nXtNkhe0NXz0Q31z6Ptgl6Wbq6Ko6nFUW2GbfT2/Au6scbMJ1azKa2XIAgFTD4F3UTmkoCgCyQv6BoVRgtuV2/TLmehOBrEztINLWcoS1druwCJZ+lqybWgW7T+uRZbei9BEAShYClEQbdURd3gsaX6KhUK4aeNIKRPCQm6iRRFCyxHi7apCrrZLI4GiWfphtrzlKWrtUrw+ZS4PrqFIuiK1YIgCCmTL0FXz0ohV4IuZFbQzVJxtKCoG684WjJZumpSydJNxHYhE4JuLFG3aAVdQRAEoWQpNEEXJEu3lJGfNULpkC9BN4G5ZFrQVRdGg/iCbjzbBSiO4mjJZOmqyYaPbqz9jcYJUqwZuoIglDDpCrpxRN2sCrp6PrrpCLqxiqYZ2S5EjZuY7YJelq7adiGwnlqWrppkiqOBfpaulmwLuiCCriAIglBcFKqgK6Ju6SE/aYTSItuCrp6oq5edqzOXTAq6QFKCrnZ7orYLmc7STbU4WqwsXTXJ2i6oyYSga1QYTY9EBF1BEIScYramJ+rGIWlBV9vfSNCFzAq66u16RdOi+qZeHA0Sz9INLcfJ0g2Sq+JokevRgm50H6IQQVcQBEEoFQpR0AXJ0i015OeMUHqkI+gmQgkJuvGKowW25b84GkRn6Rr1S8Z2Qc9HN6JvkoKu3hh64wTx+PwxRd1ks3PFakEQhIyQ6kVIpi0X9OaSoKCr25auoKvdrhV0M1gcTS9LN1fF0dSibqK2C5Hr0bFIBF1BEAShJ1HIgq6IuqWB/JQRSpNUBd142bmxKCJBV4qjGYuyuRZ0IXaWrlHGryAIQlYpZEE31j7d4m0oO1fVFuivI+jGslUwEnRDGbfOxLN0Q8v6Wbpq2wVIPks3U8XRILEsXTXFKOgKgiAIQjYpVEEXJEu3FBAxVyhdsinoGnnoujtTKoqmJ+KqlzMl6CZqu6CXpVtqxdHiCbrawmhqci3oGo0nCIKQVQpJ0I3VJ11BFxIXdNPJ0o2yaki+OFohZelqbRe0lgpOixLXRzdZQTcWyQq6kp0rCIIgZBuL2Vqwoq5k6RY38jNGKG3yIehC0oIu6Iu4RttTFXQDy/pZumrbBch9lq5ee7aLoyXjo9uTBV2LxZTWSxCEIqZQBN1YdgtG+5CkoBsklqCr3q7tk2qWrnpZJ0s3OuM2/eJo+czSTUfQjZWdCwUu6AZ9oFN9CYIgCEVLoQq6UHxZukGBPNVXqSBirlD6FJKgqyERQddI5E1X0C2V4mhqkimOpiYZQVctxvYkQVcQBCFp8ino6hVE07Sn7KGr3h7sk2hxNL0sXU1BtFSKowVF3XjF0ZLJ0lUjgq4gCIIgpEchC4mSpVt8FMTPl6VLlzJ06FCcTifTpk3jrbfeyveUhFKjUARdnXloBV09MinoxsrSDY1RRMXRUrVdiOWjm0xhNBF0M0+yMeGJJ55gzJgxOJ1OTjrpJJ5//vmI7YqicPPNN9PY2EhZWRmzZ89m69at2TyEvCCxVMga6Vx8pCvoagVbPUHXqChaLgTdRLJ01bYLUWNkpjhaYD21LF016douqBFBN/9IPE0eiaWCIGSTQhZ0ofiydHNBocbSvP90eeyxx1i0aBG33HIL69evZ8KECcyZM4eDBw/me2pCqVEkgq5WuFVn6CbqoRt6a5Wgm6ztAuSmOFoyWbrZKo4WJNXCaCLoZo5kY8Ibb7zBpZdeyhVXXMGGDRuYO3cuc+fOZfPmzaE+v/71r7nrrru45557WLt2LRUVFcyZM4eurhS/EwoQiaVC1smXoAvxBV1tn1wIupnI0tXbJ0vF0aL3iW27kGqWrp6PrhoRdHOHxNPkkVgqCEIuKAZBV0TdAIUcS02KouRVEZg2bRqnnnoqf/jDHwDw+/0MGjSI7373u9x4440x921paaGmpgbHhKsif6ALQizUF1ZJ7xvn/5k9xtjqCzeDeZhU41ttkV/y6vXgsroteHEVbLPbw9vsqisU9UWWNovGZtPvZ9f0c1jD/RyqiziHVbWPuo9N3Sfc7lS9n9NqUi2H28vtZt129Th2S+QVmMNsvE29bjer5qXpZ1V5vVpV41k1HrBWc3hdzx9Wva/e/nrjqLFZYl9dqsdraWlhaGMdzc3NVFdXx9wvEYLfsfsPH095vJaWFhr71CY8p2RjwsUXX0x7ezvPPfdcqO20005j4sSJ3HPPPSiKQv/+/fnBD37A9ddfD0BzczMNDQ0sX76cSy65JKXjKjTSiaUQ/qyb922juroq29MVihl/9I3DhPF54nZRjMb3uRObi7qfetkbvmmq+Fy67QTbvd0/ptU3Yz3qZdWP7agbtgb9tDdy3ar3dRvt49JdVlT7+jU3nP1ut2pZ1c8Va5/w5+JV3YjVXw/faPRpt7kj19U3h7siN9HlM2nWtduJQrtPqD32vU9cOmMZ4fZDp0/he+/6Mx5L0/l+bWlppab/iKTmJPE0eTIVS5uO7svI/x1BEEofXzq/q3KAT0kiiKpoaWlhcP2wjMXS4Jjpfse2tLTQr65/SVyb5vUetNvtZt26dcyePTvUZjabmT17NmvWrMnjzISSJtUMXYifpRsrQzeBeRhl6GrXE8nQDdotBJb1s2/j2S4UYnE0vSzddIqjhfZJ0Ec3mQxd7b56++uNo6YnZeimEhPWrFkT0R9gzpw5of47duygqakpok9NTQ3Tpk0rmTgjsVTIKfm0XEhkLglm6IaSAKw6N2ljZehCclm66uUSK46mZ7ugphgzdEslO1fiafJILBUEIR9Ilm7hUuixNK//cw4fPozP56OhoSGivaGhgY8++iiqv8vlwqXKLGhubgZA0cvWEIRYmPSzOxLbN852ryvyIi3U3hWdnevt0rmQVAuqkdm3ihL+IvUrgXa3O9zH1L3d7Qar1UqXC2zdF1edrsgMXZ8LbN2ZtL6u8EWXryvyYs2r2ubtAnv3Pl7A3p1N6+kMZ+h6CGfoeghnlroJZ+i6CWfuughn6LoAZ3emqQtwdI/f1R6ZodtFODO3k3BWbafq/TqIzNDtIJyV26Hq1w7YzeFlhyaT1pJAhq42q1aboWsxR18dGmXippqha7GYaG1tAQI+PJmktaUl7X1bNGM4HA4cjsj/+8nGBICmpibd/k1NTaHtwTajPsVOKn83o3ja0tqavYkKpUW+MnT9OvvGzdBV7eONvCkbytIN9tfL2lVnzno1N2JDN2ZNqhu63d/X3k5CPxrU/UI3bk2qDF2Lqp96uXssjzvczxveR1Ht71f1CS8Hfh8EsnS7l13BbTb83sj394duBJtVmbeBOYSzdE14veobjaq+pu6+7vC+Xm9kVk8461bBlXSGbvQ+ob5xMnTdcbYH8XXH0EzH0nS+X4P7JhJLQeJpKmQylra2SCwVBCE5Cj1DF5LL0m3tjlvZMAJoSeM7NrhvKVybFvZtAA2LFy/mtttui2p3b16Wh9kIgiAUJq2trdTU1KQ9jt1up1+/fow6YXBa41RWVjJo0KCItltuuYVbb701rXGF1DGKp4NGT8rDbARB6LmkcpGXmydSMh1L0/1+lVhaeBjF0pFDR+dhNoIgCIVHpmIpqK5N0/yOLZV4mlcxt0+fPlgsFg4cOBDRfuDAAfr16xfV/6abbmLRokWh9ePHjzNkyBB2796dsf8ghURLSwuDBg3i008/LUnfJTm+4kaOr/BQFIXW1lb69++fkfGcTic7duzA7U7v6QdFUTBpsuH1MomSjQkA/fr1i9k/+O+BAwdobGyM6DNx4sSkj6UQSeXvJvG0dCjlYwM5vmKnGI+v2GMpSDxNBYml8SnG8zkZ5PiKGzm+wiLTsRTk2lRLXsVcu93O5MmTWbFiBXPnzgUChsIrVqxgwYIFUf2NHiWqqakpiv/QqVJdXS3HV8TI8RU3xXZ8mb54cDqdOJ1pFA1MgmRjAsD06dNZsWIFCxcuDLW9/PLLTJ8+HYBhw4bRr18/VqxYEQqQLS0trF27lmuuuSabh5MzUvm7STwtPUr52ECOr9gptuMr5lgKEk9TQWJp4hTb+ZwscnzFjRxf4ZCNm1pybRom7zYLixYtYv78+UyZMoWpU6eyZMkS2tvbufzyy/M9NUEQBCHHxIsJ8+bNY8CAASxevBiA6667jpkzZ/Lb3/6Wc889l0cffZR33nmHe++9FwCTycTChQv5+c9/zsiRIxk2bBg//elP6d+/fygolwISSwVBEAQ1Ek+TR2KpIAiCoKaQY2nexdyLL76YQ4cOcfPNN9PU1MTEiRN54YUXogyBBUEQhNInXkzYvXs3ZlVBuRkzZvDwww/zP//zP/z4xz9m5MiRPPPMM4wfPz7U54c//CHt7e1ceeWVHD9+nDPOOIMXXnghp1lS2UZiqSAIgqBG4mnySCwVBEEQ1BR0LFWKmK6uLuWWW25Rurq68j2VrCDHV9zI8RU3pX58gqCm1P+/l/LxlfKxKYocX7FT6scnCGpK/f+7HF9xI8dX3JT68QnJY1IUJTclYQVBEARBEARBEARBEARBEISUMcfvIgiCIAiCIAiCIAiCIAiCIOQbEXMFQRAEQRAEQRAEQRAEQRCKABFzBUEQBEEQBEEQBEEQBEEQigARcwVBEARBEARBEARBEARBEIqAghdzly5dytChQ3E6nUybNo233norZv8nnniCMWPG4HQ6Oemkk3j++edzNNPUSOb4li9fjslking5nc4czjY5Xn31Vc4//3z69++PyWTimWeeibvPqlWrOOWUU3A4HIwYMYLly5dnfZ6pkOyxrVq1KuqzM5lMNDU15WbCSbJ48WJOPfVUqqqq6Nu3L3PnzuXjjz+Ou1+xnH+pHF+xnX+CoKWU46nE0kiKJZZCacdTiaXRFNv5JwhaSjmWQunGU4mlkRRTLAWJp3oU0/knZIeCFnMfe+wxFi1axC233ML69euZMGECc+bM4eDBg7r933jjDS699FKuuOIKNmzYwNy5c5k7dy6bN2/O8cwTI9njA6iurmb//v2h165du3I44+Rob29nwoQJLF26NKH+O3bs4Nxzz+Wss85i48aNLFy4kP/+7//mxRdfzPJMkyfZYwvy8ccfR3x+ffv2zdIM02P16tVce+21vPnmm7z88st4PB4+//nP097ebrhPMZ1/qRwfFNf5JwhqSjmeSiyNpJhiKZR2PJVYqk8xnX+CoKaUYymUdjyVWKpPMcRSkHhqRLGcf0KWUAqYqVOnKtdee21o3efzKf3791cWL16s2/+iiy5Szj333Ii2adOmKVdddVVW55kqyR7fsmXLlJqamhzNLrMAytNPPx2zzw9/+ENl3LhxEW0XX3yxMmfOnCzOLH0SObZXXnlFAZRjx47lZE6Z5uDBgwqgrF692rBPsZ1/ahI5vmI+/wShlOOpxNJIijWWKkrpx1OJpcV9/glCKcdSRek58VRiaXHHUkWReKooxXv+CZmjYDNz3W4369atY/bs2aE2s9nM7NmzWbNmje4+a9asiegPMGfOHMP++SSV4wNoa2tjyJAhDBo0iC996Uu8//77uZhuTiimzy9VJk6cSGNjI5/73Od4/fXX8z2dhGlubgagrq7OsE8xf36JHB+U9vknlC6lHE8llkZTLJ9duhRjPJVYGqCUzz+hdCnlWAoST7UU02eXDsUYS0HiaZBSPf+ExChYMffw4cP4fD4aGhoi2hsaGgy9XJqampLqn09SOb7Ro0dz//338+yzz/K3v/0Nv9/PjBkz2LNnTy6mnHWMPr+WlhY6OzvzNKvM0NjYyD333MOTTz7Jk08+yaBBg5g1axbr16/P99Ti4vf7WbhwIaeffjrjx4837FdM55+aRI+v1M8/oXQp5XgqsTSaUo6lULzxVGJpgFI//4TSpZRjKUg81SKxtHCReBqglM8/ITGs+Z6AkDjTp09n+vTpofUZM2YwduxY/vSnP3H77bfncWZCPEaPHs3o0aND6zNmzGD79u387ne/48EHH8zjzOJz7bXXsnnzZl577bV8TyUrJHp8cv4JQmkg53JxU6zxVGJpADn/BKF0kPO5eCnWWAoST4PI+ScUbGZunz59sFgsHDhwIKL9wIED9OvXT3effv36JdU/n6RyfFpsNhuTJk1i27Zt2ZhizjH6/KqrqykrK8vTrLLH1KlTC/6zW7BgAc899xyvvPIKAwcOjNm3mM6/IMkcn5ZSO/+E0qWU46nE0mh6WiyFwo+nEkuNKbXzTyhdSjmWgsRTLRJLCxOJp8aU0vknJEbBirl2u53JkyezYsWKUJvf72fFihURdyDUTJ8+PaI/wMsvv2zYP5+kcnxafD4fmzZtorGxMVvTzCnF9Pllgo0bNxbsZ6coCgsWLODpp59m5cqVDBs2LO4+xfT5pXJ8Wkrt/BNKl1KOpxJLoymWzy6TFGo8lVgan1I7/4TSpZRjKUg81VJMn12mKNRYChJPE6GUzj8hQfJZfS0ejz76qOJwOJTly5crH3zwgXLllVcqtbW1SlNTk6IoivLNb35TufHGG0P9X3/9dcVqtSp33HGH8uGHHyq33HKLYrPZlE2bNuXrEGKS7PHddtttyosvvqhs375dWbdunXLJJZcoTqdTef/99/N1CDFpbW1VNmzYoGzYsEEBlDvvvFPZsGGDsmvXLkVRFOXGG29UvvnNb4b6f/LJJ0p5eblyww03KB9++KGydOlSxWKxKC+88EK+DsGQZI/td7/7nfLMM88oW7duVTZt2qRcd911itlsVv7973/n6xBics011yg1NTXKqlWrlP3794deHR0doT7FfP6lcnzFdv4JgppSjqcSS4s3lipKacdTiaXFf/4JgppSjqWKUtrxVGJp8cZSRZF4qijFff4J2aGgxVxFUZS7775bGTx4sGK325WpU6cqb775ZmjbzJkzlfnz50f0f/zxx5VRo0YpdrtdGTdunPKvf/0rxzNOjmSOb+HChaG+DQ0NyjnnnKOsX78+D7NOjFdeeUUBol7BY5o/f74yc+bMqH0mTpyo2O125YQTTlCWLVuW83knQrLH9qtf/UoZPny44nQ6lbq6OmXWrFnKypUr8zP5BNA7NiDi8yjm8y+V4yu2808QtJRyPJVYOjNqn2KIpYpS2vFUYmnxn3+CoKWUY6milG48lVhavLFUUSSeKkpxn39CdjApiqKkntcrCIIgCIIgCIIgCIIgCIIg5IKC9cwVBEEQBEEQBEEQBEEQBEEQwoiYKwiCIAiCIAiCIAiCIAiCUASImCsIgiAIgiAIgiAIgiAIglAEiJgrCIIgCIIgCIIgCIIgCIJQBIiYKwiCIAiCIAiCIAiCIAiCUASImCsIgiAIgiAIgiAIgiAIglAEiJgrCIIgCIIgCIIgCIIgCIJQBIiYK/QIVq1ahclk4vjx4xkZ77LLLmPu3Lkx+8yaNYuFCxfG7LN8+XJqa2szMidBEARByCYSSwVBEAQhfSSeCoKQLiLmCkVFoQSY3//+9yxfvjypfYYOHcqSJUsyNoddu3ZRVlZGW1tbxsYUBEEQSh+JpWEklgqCIAipIvE0jMRTQcgt1nxPQBCKkZqamnxPgWeffZazzjqLysrKfE9FEARBEJJGYqkgCIIgpI/EU0HoeUhmrpAzZs2axYIFC1iwYAE1NTX06dOHn/70pyiKEurjcrm4/vrrGTBgABUVFUybNo1Vq1YBgcdRLr/8cpqbmzGZTJhMJm699VYAHnzwQaZMmUJVVRX9+vXja1/7GgcPHkx4btdffz3nnXdeaH3JkiWYTCZeeOGFUNuIESP485//DEQ/ytLe3s68efOorKyksbGR3/72t1HHvmvXLr7//e+H5q7mxRdfZOzYsVRWVvKFL3yB/fv3x53zs88+ywUXXGC4/f333+e8886jurqaqqoqzjzzTLZv3x4x/1/84hc0NDRQW1vLz372M7xeLzfccAN1dXUMHDiQZcuWxZ2HIAiCkDsklkosFQRBENJH4qnEU0EoZkTMFXLKAw88gNVq5a233uL3v/89d955ZygIASxYsIA1a9bw6KOP8t577/HVr36VL3zhC2zdupUZM2awZMkSqqur2b9/P/v37+f6668HwOPxcPvtt/Puu+/yzDPPsHPnTi677LKE5zVz5kxee+01fD4fAKtXr6ZPnz6hYL137162b9/OrFmzdPe/4YYbWL16Nc8++ywvvfQSq1atYv369aHtTz31FAMHDuRnP/tZaO5BOjo6uOOOO3jwwQd59dVX2b17d+i4jDh+/DivvfaaYcDcu3cvn/nMZ3A4HKxcuZJ169bxrW99C6/XG+qzcuVK9u3bx6uvvsqdd97JLbfcwnnnnUevXr1Yu3YtV199NVdddRV79uxJ5E8oCIIg5AiJpRJLBUEQhPSReCrxVBCKFkUQcsTMmTOVsWPHKn6/P9T2ox/9SBk7dqyiKIqya9cuxWKxKHv37o3Y7+yzz1ZuuukmRVEUZdmyZUpNTU3c93r77bcVQGltbVUURVFeeeUVBVCOHTum2//YsWOK2WxW3n77bcXv9yt1dXXK4sWLlWnTpimKoih/+9vflAEDBoT6z58/X/nSl76kKIqitLa2Kna7XXn88cdD248cOaKUlZUp1113XahtyJAhyu9+97uI9122bJkCKNu2bQu1LV26VGloaIh5fA899JAyZcoUw+033XSTMmzYMMXtdutunz9/vjJkyBDF5/OF2kaPHq2ceeaZoXWv16tUVFQojzzySMy5CIIgCLlDYqnEUkEQBCF9JJ5KPBWEYkYyc4Wcctppp0U8xjF9+nS2bt2Kz+dj06ZN+Hw+Ro0aRWVlZei1evXq0CMYRqxbt47zzz+fwYMHU1VVxcyZMwHYvXt3QvOqra1lwoQJrFq1ik2bNmG327nyyivZsGEDbW1trF69OjSmlu3bt+N2u5k2bVqora6ujtGjRyf03uXl5QwfPjy03tjYGPcxnHiPsWzcuJEzzzwTm81m2GfcuHGYzeGvgIaGBk466aTQusVioXfv3kk9EiQIgiBkH4ml0UgsFQRBEJJF4mk0Ek8FoTiQAmhCwdDW1obFYmHdunVYLJaIbbGM1Nvb25kzZw5z5szhoYceor6+nt27dzNnzhzcbnfC7z9r1ixWrVqFw+Fg5syZ1NXVMXbsWF577TVWr17ND37wg5SPLRbaoGYymSK8mrS43W5eeOEFfvzjHxv2KSsrS+l99dr8fn/csQRBEITCQGJpAImlgiAIQjpIPA0g8VQQChMRc4Wcsnbt2oj1N998k5EjR2KxWJg0aRI+n4+DBw9y5pln6u5vt9tD3kFBPvroI44cOcIvf/lLBg0aBMA777yT9NxmzpzJ/fffj9Vq5Qtf+AIQCKKPPPIIW7ZsMfQkGj58ODabjbVr1zJ48GAAjh07xpYtWyLumOrNPRVWrVpFr169mDBhgmGfk08+mQceeACPxxPzDqggCIJQfEgslVgqCIIgpI/EU4mnglCsiM2CkFN2797NokWL+Pjjj3nkkUe4++67ue666wAYNWoUX//615k3bx5PPfUUO3bs4K233mLx4sX861//AmDo0KG0tbWxYsUKDh8+TEdHB4MHD8Zut3P33XfzySef8I9//IPbb7896bl95jOfobW1leeeey4UHGfNmsVDDz1EY2Mjo0aN0t2vsrKSK664ghtuuIGVK1eyefNmLrvssojHRIJzf/XVV9m7dy+HDx9Oen5B/vGPf8R8jAUCZv0tLS1ccsklvPPOO2zdupUHH3yQjz/+OOX3FQRBEAoDiaUSSwVBEIT0kXgq8VQQihURc4WcMm/ePDo7O5k6dSrXXnst1113HVdeeWVo+7Jly5g3bx4/+MEPGD16NHPnzuXtt98O3VWcMWMGV199NRdffDH19fX8+te/pr6+nuXLl/PEE09w4okn8stf/pI77rgj6bn16tWLk046ifr6esaMGQMEgqjf7zf0JArym9/8hjPPPJPzzz+f2bNnc8YZZzB58uSIPj/72c/YuXMnw4cPp76+Pun5BUkkYPbu3ZuVK1fS1tbGzJkzmTx5Mvfdd5/cCRUEQSgBJJZKLBUEQRDSR+KpxFNBKFZMSiwDFEHIILNmzWLixIksWbIk31MpWtavX89nP/tZDh06JMFPEAShByKxNH0klgqCIAgST9NH4qkg5A/JzBWEIsLr9XL33XdLsBQEQRCEFJFYKgiCIAjpI/FUEPKHFEAThCJi6tSpTJ06Nd/TEARBEISiRWKpIAiCIKSPxFNByB9isyAIgiAIgiAIgiAIgiAIglAEiM2CIAiCIAiCIAiCIAiCIAhCESBiriAIgiAIgiAIgiAIgiAIQhEgYq4gCIIgCIIgCIIgCIIgCEIRIGKuIAiCIAiCIAiCIAiCIAhCESBiriAIgiAIgiAIgiAIgiAIQhEgYq4gCIIgCIIgCIIgCIIgCEIRIGKuIAiCIAiCIAiCIAiCIAhCESBiriAIgiAIgiAIgiAIgiAIQhEgYq4gCIIgCIIgCIIgCIIgCEIR8P8BIuLgsUpme5MAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1417.32x433.071 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# first, create all possible tuples of petal lengths and widths in their respective domains [0,3]cm and [0,8]cm\n",
    "petal_w = np.arange(0,3,0.1)\n",
    "petal_l = np.arange(0,8,0.1)\n",
    "\n",
    "petal_mesh = []\n",
    "for pl in petal_l:\n",
    "    for pw in petal_w:\n",
    "        petal_mesh.append([pl,pw])\n",
    "\n",
    "petal_mesh=np.array(petal_mesh)\n",
    "\n",
    "# don't forget to standardize the mesh\n",
    "petal_meshS = scaler.transform(petal_mesh)\n",
    "# make the predictions for each (pl,pw) couple of the mesh\n",
    "proba = IrisANNmodel.predict(petal_meshS)\n",
    "probaSetosa = proba[:,0].reshape((len(petal_l),len(petal_w)))\n",
    "probaVersicolor = proba[:,1].reshape((len(petal_l),len(petal_w)))\n",
    "probaVirginica = proba[:,2].reshape((len(petal_l),len(petal_w)))\n",
    "\n",
    "# let's plot now the predicted probabilities for each iris species\n",
    "\n",
    "pw2D,pl2D = np.meshgrid(petal_w,petal_l)\n",
    "# print(pl2D.shape,pw2D.shape)\n",
    "# print(pw2D)\n",
    "# print(pl2D)\n",
    "cm = 1/2.54\n",
    "ncols = 3\n",
    "nrows = 1\n",
    "fig, axs = plt.subplots(nrows, ncols, figsize=(ncols*12*cm, nrows*11*cm))\n",
    "plt.subplot(nrows, ncols, 1)\n",
    "c0 = axs[0].contourf(pw2D, pl2D, probaSetosa,levels=50,cmap='Blues')\n",
    "_ = fig.colorbar(c0)\n",
    "axs[0].set_xlabel(\"petal width / cm\")\n",
    "axs[0].set_ylabel(\"petal length / cm\")\n",
    "axs[0].set_title(\"Setosa probability\")\n",
    "sns.scatterplot(x = \"petal_width\", y = \"petal_length\", data = data_train, hue=\"species\",hue_order=class_names)\n",
    "\n",
    "plt.subplot(nrows, ncols, 2)\n",
    "c1 = axs[1].contourf(pw2D, pl2D, probaVersicolor,levels=50,cmap='Oranges')\n",
    "_ = fig.colorbar(c1)\n",
    "axs[1].set_xlabel(\"petal width / cm\")\n",
    "axs[1].set_ylabel(\"petal length / cm\")\n",
    "axs[1].set_title(\"Versicolor probability\")\n",
    "sns.scatterplot(x = \"petal_width\", y = \"petal_length\", data = data_train, hue=\"species\",hue_order=class_names)\n",
    "\n",
    "plt.subplot(nrows, ncols, 3)\n",
    "c2 = axs[2].contourf(pw2D, pl2D, probaVirginica,levels=50,cmap='Greens')\n",
    "_ = fig.colorbar(c2)\n",
    "axs[2].set_xlabel(\"petal width / cm\")\n",
    "axs[2].set_ylabel(\"petal length / cm\")\n",
    "axs[2].set_title(\"Virginica probability\")\n",
    "sns.scatterplot(x = \"petal_width\", y = \"petal_length\", data = data_train, hue=\"species\",hue_order=class_names)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06117ba4-c423-4d79-aeb4-06646defef75",
   "metadata": {},
   "source": [
    "<div class=\"rqT\" title=\"Comment\">\n",
    "\n",
    "Given the blue, orange and green zones that correspond to high probabilities , the model is clearly able to separate the three species, but is is unable to reduce the classification domains to the zones highlighted by the <span style=\"color:#5b749d\">blue</span>, <span style=\"color:#bd7247\">orange</span> and <span style=\"color:#499059\">green</span> scatter points. \n",
    "\n",
    "This is problematic if you ask the model which species would belong to an hypothetical iris which features are (petal width = 2.5 cm, petal length = 1 cm). **It will identify a virginica, whereas the answer \"*it's very unlikely that this is one of the three iris species I am aware of*\" would be more appropriate**\n",
    "\n",
    "**It cannot be otherwise**, since the model returns *three probabilities* which sum must be equal to one for any (petal width, petal length) tuple: $\\sum_{i=1}^{3}\\mathcal{P}_{i}=1$. In other words, there is no fourth \"not an iris\" probability\n",
    "\n",
    "Could it be wise to identify \"*uncharted territories*\", and to introduce some representative points belonging to this domain in the training set, with a fourth \"*unknown species*\" class? May be in this case, but in general it is *by definition* not possible to identify uncharted territories and their limits.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b793aed-f3a6-44bc-9ea1-6a909b5b9a56",
   "metadata": {},
   "source": [
    "<div class=\"intro\">\n",
    "\n",
    "To go deeper into the analysis and introduce the concept of **decision boundary**, let's now use a contour plot to represent the three probabilities on the same graph, with a small number of contour lines. \n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c0d61658-1a68-4a7d-aca8-b5ec70e40c33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1574.8x787.402 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ncols = 2\n",
    "nrows = 1\n",
    "fig, axs = plt.subplots(nrows, ncols, figsize=(ncols*20*cm, nrows*20*cm))\n",
    "plt.subplot(nrows, ncols, 1)\n",
    "plt.tick_params(axis='x',labelsize = 14)\n",
    "plt.tick_params(axis='y',labelsize = 14)\n",
    "c0 = axs[0].contour(pw2D, pl2D, probaSetosa,levels=10,cmap='Blues',alpha=0.8)\n",
    "c1 = axs[0].contour(pw2D, pl2D, probaVersicolor,levels=10,cmap='Oranges',alpha=0.8)\n",
    "c2 = axs[0].contour(pw2D, pl2D, probaVirginica,levels=10,cmap='Greens',alpha=0.8)\n",
    "axs[0].set_xlabel(\"petal width / cm\")\n",
    "axs[0].set_ylabel(\"petal length / cm\")\n",
    "sns.scatterplot(x = \"petal_width\", y = \"petal_length\", data = data_train, hue=\"species\",hue_order=class_names)\n",
    "from matplotlib.patches import Rectangle\n",
    "xbox1 = 1.4\n",
    "xbox2 = 1.8\n",
    "ybox1 = 4.0\n",
    "ybox2 = 6.0\n",
    "my_gray=(0.8, 0.8, 0.8, 0.5)\n",
    "axs[0].add_patch(Rectangle((xbox1, ybox1), xbox2-xbox1, ybox2-ybox1, edgecolor='black', facecolor=my_gray,label=\"zoom, see figure >>>\",alpha=0.3))\n",
    "plt.legend(loc='lower right',fontsize=10)\n",
    "\n",
    "plt.subplot(nrows, ncols, 2)\n",
    "plt.tick_params(axis='x',labelsize = 14)\n",
    "plt.tick_params(axis='y',labelsize = 14)\n",
    "c1 = axs[1].contour(pw2D, pl2D, probaVersicolor,levels=6,cmap='Oranges',alpha=0.8, linewidths=2)\n",
    "manual_locations = [(1.65, 4.4), (1.70, 4.75), (1.6, 4.75), (1.65, 5.), (1.65, 5.1), (1.65, 5.2)]\n",
    "plt.clabel(c1, inline=True, fontsize=12, manual=manual_locations,inline_spacing=-10)\n",
    "c2 = axs[1].contour(pw2D, pl2D, probaVirginica,levels=6,cmap='Greens',alpha=0.8, linewidths=2)\n",
    "manual_locations = [(1.5, 6), (1.5, 5.5), (1.5, 5.25),(1.5, 5.1), (1.5, 5),  (1.5, 4.7)]\n",
    "plt.clabel(c2, inline=True, fontsize=12, manual=manual_locations,inline_spacing=-10)\n",
    "axs[1].set_xlim([xbox1,xbox2])\n",
    "axs[1].set_ylim([ybox1,ybox2])\n",
    "axs[1].set_xlabel(\"petal width / cm\")\n",
    "axs[1].set_ylabel(\"petal length / cm\")\n",
    "axs[1].set_facecolor(my_gray)\n",
    "sns.scatterplot(x = \"petal_width\", y = \"petal_length\", data = data_train, hue=\"species\",hue_order=class_names)\n",
    "\n",
    "plt.legend(loc='lower left',fontsize=10)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b409ba5d-3062-4dde-919a-63bcda600b4d",
   "metadata": {},
   "source": [
    "<div class=\"rqT\" title=\"Comment: decision boundaries\">\n",
    "\n",
    "Analyze the graph on the left: there is an overlap between all probability domains. These overlap domains are named <span style='color:red'>**decision boundaries**</span>:\n",
    "- a decision boundary is a hypersurface in machine learning that delineates the boundaries of classes - the three iris species in the present case\n",
    "- the decision boundary between <span style=\"color:#bd7247\">versicolors</span> and <span style=\"color:#499059\">virginicas</span> is shown in the right-hand subplot, with probability values reported on the contour lines. The green and orange 0.6 contour lines show where the model will not be very confident in the identification of <span style=\"color:#499059\">virginica</span> and <span style=\"color:#bd7247\">versicolor</span> irises\n",
    "- it has no consequence to distinguish <span style=\"color:#5b749d\">setosa</span> and <span style=\"color:#499059\">virginica</span> species, given the large separation between their respective petal dimensions\n",
    "- the overlap between blue lines (<span style=\"color:#5b749d\">setosa</span>) and green lines (<span style=\"color:#499059\">virginica</span>), *i.e.* the co-existence domain of competing probabilities, lies only at the bottom of the graph, for petal widths between 1.0 and 1.5 cm, a domain where no actual <span style=\"color:#499059\">virginica</span> flowers can be encountered  \n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c795d2c9-7e49-45ec-a770-d2bf04fac0a1",
   "metadata": {},
   "source": [
    "<div class=\"rqT\" title=\"Comment: classification vs. clustering\">\n",
    "\n",
    "**Classification vs. clustering?** Although both techniques have certain similarities, the difference lies in the fact that **classification** uses **predefined classes** in which objects are assigned, while **clustering** **identifies similarities** between objects, which it groups according to those characteristics in common and which differentiate them from other groups of objects. These groups are known as \"clusters\". Classification relies on predefined labels and a supervisor to guide the learning process. On the other hand, clustering operates without a supervisor and is more exploratory. The figure below illustrates the difefrence between the two\n",
    "\n",
    "<p style=\"text-align: center\"><img width=\"750px\" src=\"./DS4B-svg/clustering_vs_classification/clustering-vs-classification.png\" style=\"margin-left:auto; margin-right:auto\" id=\"img_clust-vs-classif\"/></img></p> \n",
    "\n",
    "To some extent the algorithm has discovered the relationship between petal sizes and iris species. The probability maps demonstrate that the models makes a kind of clustering. But it is not perfect.    \n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b773020-a588-485c-b78d-34fe4ee0e08f",
   "metadata": {},
   "source": [
    "### SHAP: first apply the `DeepExplainer` algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3936e2a-4dd7-4a5e-9faf-606f0571eecb",
   "metadata": {},
   "source": [
    "<div class=\"intro\">\n",
    "\n",
    "It is an explainability technique that can be used for models with a neural network based architecture. This is the fastest neural network explainability approach and is based on running a SHAP-based version of the original Deep Learning Important FeaTures (DeepLIFT) algorithm.\n",
    "\n",
    "`DeepExplainer` is the primary option, but it is possinle to check the other core explainers as well. For example, the `KernelExplainer` can be used on any model and thus, could also be an option on Deep Learning models\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1bff121b-a294-4831-9c16-851ed0be7cab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(120, 2) <class 'pandas.core.frame.DataFrame'>\n",
      "(120, 2) <class 'numpy.ndarray'>\n",
      "<class 'keras.src.models.sequential.Sequential'>\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'KerasTensor' object has no attribute 'as_list'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[29], line 8\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28mprint\u001b[39m(dummy\u001b[38;5;241m.\u001b[39mshape,\u001b[38;5;28mtype\u001b[39m(dummy))\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28mtype\u001b[39m(IrisANNmodel))\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mIrisANNmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlayers\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minput\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mas_list\u001b[49m())\n\u001b[1;32m      9\u001b[0m \u001b[38;5;66;03m# dummy = background.to_numpy()\u001b[39;00m\n\u001b[1;32m     10\u001b[0m \u001b[38;5;66;03m# print(dummy.shape)\u001b[39;00m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;66;03m# print(type(dummy.shape))\u001b[39;00m\n\u001b[1;32m     12\u001b[0m \u001b[38;5;66;03m# print(np.array(dummy.shape))\u001b[39;00m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;66;03m# print(np.array(dummy.shape).as_list())\u001b[39;00m\n\u001b[1;32m     14\u001b[0m \u001b[38;5;66;03m# deep_explainer = shap.DeepExplainer(IrisANNmodel, dummy)\u001b[39;00m\n\u001b[1;32m     15\u001b[0m deep_explainer \u001b[38;5;241m=\u001b[39m shap\u001b[38;5;241m.\u001b[39mDeepExplainer((IrisANNmodel\u001b[38;5;241m.\u001b[39mlayers[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39minput,IrisANNmodel\u001b[38;5;241m.\u001b[39mlayers[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39minput), background)\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'KerasTensor' object has no attribute 'as_list'"
     ]
    }
   ],
   "source": [
    "# select a set of background examples to take an expectation over\n",
    "background = x_train.copy()\n",
    "print(background.shape,type(background))\n",
    "dummy = background.to_numpy()\n",
    "dummy = np.array(dummy)\n",
    "print(dummy.shape,type(dummy))\n",
    "print(type(IrisANNmodel))\n",
    "print(IrisANNmodel.layers[0].input)\n",
    "# dummy = background.to_numpy()\n",
    "# print(dummy.shape)\n",
    "# print(type(dummy.shape))\n",
    "# print(np.array(dummy.shape))\n",
    "# print(np.array(dummy.shape).as_list())\n",
    "# deep_explainer = shap.DeepExplainer(IrisANNmodel, dummy)\n",
    "deep_explainer = shap.DeepExplainer((IrisANNmodel.layers[0].input,IrisANNmodel.layers[-1].input), background)\n",
    "shap_values_train = deep_explainer.shap_values(x_train.values)\n",
    "\n",
    "print(deep_explainer.expected_value)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2392f70-9e72-4413-8f0e-68cfc876848f",
   "metadata": {},
   "source": [
    "### SHAP summary plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f30e7d14-4e2a-4fb0-8d71-34a8160c836b",
   "metadata": {},
   "source": [
    "<div class=\"intro\">\n",
    "\n",
    "In the next plot, the impact of a feature on the three iris classes is stacked to create the feature importance plot. If some features can differentiate a particular class from the rest, that is the plot where you can see it. In other words, the summary plot for multiclass classification can show you what the machine managed to learn from the features.\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0d852c46-6a0b-4eaa-a30a-80722c270d82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style='text-align:center; font-weight: bold; font-size:16px;background-color: #343132;color: #ffffff'>Train</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "NameError",
     "evalue": "name 'shap_values_train' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[9], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m t4pPC\u001b[38;5;241m.\u001b[39mcenterTitle(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTrain\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m shap\u001b[38;5;241m.\u001b[39msummary_plot(\u001b[43mshap_values_train\u001b[49m,x_train, feature_names\u001b[38;5;241m=\u001b[39mfeatures,class_names\u001b[38;5;241m=\u001b[39mclass_names,sort\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,plot_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbar\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'shap_values_train' is not defined"
     ]
    }
   ],
   "source": [
    "t4pPC.centerTitle(\"Train\")\n",
    "shap.summary_plot(shap_values_train,x_train, feature_names=features,class_names=class_names,sort=False,plot_type=\"bar\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61c3037d-78f7-48f6-9676-50412d66bb12",
   "metadata": {},
   "source": [
    "<div class=\"rqE\">\n",
    "\n",
    "It is not suprising that in this case, the two features are used equally to classify iris flowers to the three classes. It will be interesting to do the same analysis with the four features used to classify irises. \n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d221c05-06ff-4cd9-9599-756889b6f153",
   "metadata": {},
   "source": [
    "<div class=\"intro\">\n",
    "\n",
    "You can also see the summary plot of a specific class.\n",
    "\n",
    "The summary plot combines feature importance with feature effects. Each point on the summary plot is a Shapley value for a feature and an instance, *i.e.* a sample.\n",
    "\n",
    "Let's visualize it on `class[0]`, *i.e.* the setosa class\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "878b02ac-5803-4d43-8675-f81b18542a17",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'shap_values_train' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m shap\u001b[38;5;241m.\u001b[39msummary_plot(\u001b[43mshap_values_train\u001b[49m[\u001b[38;5;241m0\u001b[39m],x_train)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'shap_values_train' is not defined"
     ]
    }
   ],
   "source": [
    "shap.summary_plot(shap_values_train[0],x_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "682e2e1f-3677-4c06-ac01-f3c4f5fd16e7",
   "metadata": {},
   "source": [
    "<div class=\"rqE\">\n",
    "\n",
    "Both features are important to classify irises as setosas. `petal_length` either causes a large negative or positive change in the prediction. From the right scale, it is seen that red and blue represent large and small feature values, respectively. The summary plot tells us that small `petal_length` values increase the prediction, wheras large values decrease the prediction. \n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7e2972a-c939-446b-af2a-a0676559535f",
   "metadata": {},
   "source": [
    "<div class=\"intro\">\n",
    "\n",
    "We will now plot summary plots as violin plots, for all classes,  with outliers drawn as points.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3c8d08fb-967a-4503-81d1-db47be0ed853",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style='text-align:center; font-weight: bold; font-size:16px;background-color: #343132;color: #ffffff'>Train. Successive summary plots for ['setosa', 'versicolor', 'virginica']</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "NameError",
     "evalue": "name 'shap_values_train' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[11], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m t4pPC\u001b[38;5;241m.\u001b[39mcenterTitle(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTrain. Successive summary plots for \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mclass_names\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m# setosa\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m shap\u001b[38;5;241m.\u001b[39msummary_plot(\u001b[43mshap_values_train\u001b[49m[\u001b[38;5;241m0\u001b[39m],x_train, plot_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mviolin\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m# versicolor\u001b[39;00m\n\u001b[1;32m      5\u001b[0m shap\u001b[38;5;241m.\u001b[39msummary_plot(shap_values_train[\u001b[38;5;241m1\u001b[39m],x_train, plot_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mviolin\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[0;31mNameError\u001b[0m: name 'shap_values_train' is not defined"
     ]
    }
   ],
   "source": [
    "t4pPC.centerTitle(f\"Train. Successive summary plots for {class_names}\")\n",
    "# setosa\n",
    "shap.summary_plot(shap_values_train[0],x_train, plot_type=\"violin\")\n",
    "# versicolor\n",
    "shap.summary_plot(shap_values_train[1],x_train, plot_type=\"violin\")\n",
    "# virginica\n",
    "shap.summary_plot(shap_values_train[2],x_train, plot_type=\"violin\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cabb769d-91c3-48a0-ae28-9a8a78595f73",
   "metadata": {},
   "source": [
    "<div class=\"rqE\">\n",
    "\n",
    "We see the first indications of the relationship between the value of a feature and the impact on the prediction. But to see the exact form of the relationship, we have to look at SHAP dependence plots\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "050097d7-9cb7-41f2-bc4f-3e15d5f865d8",
   "metadata": {},
   "source": [
    "### Dependence plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cd26580-25a4-4d84-8380-58ea98c141cd",
   "metadata": {},
   "source": [
    "<div class=\"intro\">\n",
    "\n",
    "A partial dependence plot can show whether the relationship between the target and a feature is linear, monotonic, or more complex\n",
    "\n",
    "- the x-axis is the actual value from the dataset\n",
    "- the y-axis is the SHAP value for that feature, which represents how much knowing that feature’s value changes the output of the model for that sample’s prediction\n",
    "- the color corresponds to a second feature that may have an interaction effect with the feature we are plotting\n",
    "- each dot is a single prediction\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "44070d27-fb6e-461f-9333-04f6e277a3f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "shap.dependence_plot(0, shap_values_train[0], x_train_unscaled)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e2436cb-ee58-4ef0-8204-7795b74c12fb",
   "metadata": {},
   "source": [
    "<div class='rqE'>\n",
    "\n",
    "So what?\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afcfd8e5-f429-4503-abe2-c075751fbd5f",
   "metadata": {},
   "source": [
    "### Explain predictions\n",
    "\n",
    "<div class=\"intro\">\n",
    "\n",
    "First use the ANN model to predict the class affiliation for all samples of the training and test sets.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6ef47c2-ac7e-4e73-a805-17ff76465aee",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train_hat=IrisANNmodel.predict(x_train.values) #returns a numpy array\n",
    "#print(y_train_hat)\n",
    "y_test_hat=IrisANNmodel.predict(x_test.values)\n",
    "sample = 6\n",
    "t4pPC.centerTitle(f\"Sample {sample}\")\n",
    "print(f\"  Prediction = {y_train_hat[sample]}\")\n",
    "print(f\"Actual value = {y_train.to_numpy()[sample]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e538d911-3045-4190-9f3e-bbba67747c21",
   "metadata": {},
   "source": [
    "#### Explain a single prediction with SHAP force plots\n",
    "\n",
    "<div class=\"intro\">\n",
    "\n",
    "Force plot gives us the explainability of a single model prediction. In this plot, we can see how features contributed to the model’s prediction for a specific observation. It is very convenient to use for error analysis or a deep understanding of a particular case\n",
    "\n",
    "We also see which features have a <span style='color:red'>positive</span> or <span style='color:blue'>negative</span> impact on \"base value\" prediction and the magnitude of the impact\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f2243f2f-fede-44d7-881d-d0ba35bce58d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def multi_force_plot(sample_index):\n",
    "    shap.initjs()\n",
    "    print(f\"{bg.LIGHTREDB}Sample {sample_index} is actually a {class_names[np.argmax(y_train.to_numpy()[sample_index])]}{fg.OFF}\")\n",
    "    print()\n",
    "    for iclass, nclass in enumerate(class_names):\n",
    "        t4pPC.centerTitle(f\"{nclass} prediction for sample {sample_index}\")\n",
    "        display(shap.force_plot(deep_explainer.expected_value[iclass].numpy(), shap_values_train[iclass][sample_index], features = features))\n",
    "\n",
    "multi_force_plot(sample)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "663ec6ba-c572-4f7c-84e6-50dfc3ca3442",
   "metadata": {},
   "source": [
    "<div class=\"rqE\">\n",
    "\n",
    "- the ANN model predicts a 0.99 probability value that the flower is a setosa (see also the application of `IrisANNmodel.predict(x_test.values)`)\n",
    "- the base value is the value that would be predicted if we didn’t know any features for the current instance. The base value is the average of the model output over the training dataset (`explainer.expected_value` in the code). In this example, the base value = 0.3405 for setosas.\n",
    "- the numbers on the plot arrows are the value of the feature for this instance (or sample)\n",
    "- <span style='color:red'>red</span> represents features that increase the probability the model score higher, and <span style='color:blue'>blue</span> represents features that lower the probability\n",
    "- the wider the arrow, the bigger the impact of the feature on the output. The amount of decrease or increase in the impact can be seen on the x-axis.\n",
    "- both features, i.e. the petal lengths and withs, contribute to increase the probability that sample 0 is a setosa species\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5d24b18-11d6-4c6c-948f-6cdfa89b2496",
   "metadata": {},
   "source": [
    "<div class=\"ex\" title=\"Analyze another prediction\">\n",
    "\n",
    "Do the same for the fourth sample of the training set.\n",
    "\n",
    "Comments ? You can answer in light of the hue scatter plot shown hereafter\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8051b65c-281f-44af-9c44-464a95b22af6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# insert your code here\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fac9a44e-b1d4-4db2-b079-fa3cd30258b0",
   "metadata": {},
   "source": [
    "<div class=\"sol\">\n",
    "\n",
    "Want to see a possible answer? Uncomment the `# %load ./SolutionsToExercises/...` command below, and then run the cell\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a5ab9cd3-1c27-4eae-a45b-574724c25b7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# %load ./SolutionsToExercises/DS4B/Iris4a.py\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "058031ae-05e6-42a6-981e-5da93623f615",
   "metadata": {},
   "outputs": [],
   "source": [
    "selected_sample = 3\n",
    "pl_sample = data_train.iloc[selected_sample][\"petal_length\"]\n",
    "pw_sample = data_train.iloc[selected_sample][\"petal_width\"]\n",
    "\n",
    "import seaborn as sns\n",
    "g = sns.jointplot(x = \"petal_width\", y = \"petal_length\", data = data_train, hue=\"species\", hue_order= class_names, s=48)\n",
    "g.ax_joint.scatter(pw_sample, pl_sample, color = 'green', s=200, marker=\"D\", alpha = 0.3, label=f\"sample {selected_sample}\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f30b4af-cce8-431e-8400-3cb0a1c7425e",
   "metadata": {},
   "source": [
    "<div class=\"rqT\" title=\"Quite interesting this prediction analyzis!\">\n",
    "\n",
    "Do you agree?\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57e40212-b8b7-4c01-8d0a-d33f8e12a062",
   "metadata": {},
   "source": [
    "#### Explain a single prediction with SHAP waterfall plots\n",
    "\n",
    "<div class=\"intro\">\n",
    "\n",
    "The waterfall plot is another local analysis plot of a single instance prediction. It does not differ much from the previous analysis. \n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53150659-4298-430e-a3ce-6618250b7202",
   "metadata": {},
   "outputs": [],
   "source": [
    "iclass = 0\n",
    "sample_index = 0\n",
    "\n",
    "shap.waterfall_plot(shap.Explanation(values=shap_values_train[iclass][sample_index], \n",
    "                                     base_values=deep_explainer.expected_value[iclass].numpy(), data=x_train.values[sample_index],  \n",
    "                                     feature_names=features))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "194b6724-73a8-4db0-952b-0dd99f0dc95c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def multi_waterfall_plot(sample_index):\n",
    "    shap.initjs()\n",
    "    print(f\"{bg.LIGHTREDB}Sample {sample_index} is actually a {class_names[np.argmax(y_train.to_numpy()[sample_index])]}{fg.OFF}\")\n",
    "    print()\n",
    "    for iclass, nclass in enumerate(class_names):\n",
    "        t4pPC.centerTitle(f\"{nclass} prediction for sample {sample_index}\")\n",
    "        display(shap.waterfall_plot(shap.Explanation(values=shap_values_train[iclass][sample_index], \n",
    "                                     base_values=deep_explainer.expected_value[iclass].numpy(), data=x_train.values[sample_index],  \n",
    "                                     feature_names=features)))\n",
    "\n",
    "multi_waterfall_plot(sample)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f286941-aa6f-489e-a4af-fe153211680a",
   "metadata": {},
   "source": [
    "#### Explain many predictions\n",
    "\n",
    "<div class=\"intro\">\n",
    "\n",
    "Here we repeat the above explanation process for 50 individuals. Since we are using a sampling based approximation each explanation can take a couple seconds depending on your machine setup\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2cbfdffe-a0bc-4f3c-9fbe-d3fd747c64a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def many_predictions_plot(nsamples):\n",
    "    shap.initjs()\n",
    "    selected_samples = np.random.choice(x_train.values.shape[0], size=50, replace=False, p=None)\n",
    "    for iclass, nclass in enumerate(class_names):\n",
    "        t4pPC.centerTitle(f\"{nclass}\")\n",
    "        display(shap.force_plot(deep_explainer.expected_value[iclass].numpy(), shap_values_train[iclass][selected_samples], features = features))\n",
    "\n",
    "many_predictions_plot(50)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4820dc7-56b8-4ac2-8c26-dd28033c4f9f",
   "metadata": {},
   "source": [
    "<div class=\"rq\">\n",
    "\n",
    "In all cases, the petal length and width play an important role. \n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3da95148-2a6c-4597-aa1b-c35aaeb27fc2",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "<div class=\"rq\">\n",
    "\n",
    "The SHAP framework has proved to be an important advancement in the field of machine learning model interpretation. \n",
    "\n",
    "SHAP combines several existing methods to create an intuitive, theoretically sound approach to explain predictions for any model.\n",
    "\n",
    "SHAP values quantify the magnitude and direction (positive or negative) of a feature’s effect on a prediction\n",
    "\n",
    "**XAI analysis with SHAP or other tools, as well as a preliminary analysis of the data should be an integral part of the machine learning framework**\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23e1d0f0-f210-4834-88ce-2136ef32ca4b",
   "metadata": {},
   "source": [
    "## Bibliography\n",
    "\n",
    "- [Explainable AI (XAI) on Wikipedia](https://en.wikipedia.org/wiki/Explainable_artificial_intelligence)\n",
    "- [SHAP documentation](https://shap.readthedocs.io/en/latest/)\n",
    "- [XAI with SHAP -Multi-Class Classification Problem](https://towardsdatascience.com/explainable-ai-xai-with-shap-multi-class-classification-problem-64dd30f97cea)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af354bcb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "vID.end(cwd0)"
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   "execution_count": null,
   "id": "3a474d05-8d40-4bca-b846-9190a42a98f6",
   "metadata": {},
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   "source": []
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