{
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   "source": [
    "<center style=\"font-size: 16px; font-weight: normal\">\n",
    "  `21 Microservices Architecture Patterns Study</center>\n",
    "\n",
    "<center><h1>Chapter 4. Our First Use Case:<br/> Flask API and Service Layer</h1></center>\n",
    "\n",
    "<center>\n",
    "  Joseph Kim &lt;cloudeyes@gmail.com&gt;<br/>\n",
    "  Jan 8. 2021<br/>\n",
    "</center>\n",
    "\n",
    "<center>\n",
    "  <img src=\"https://images-na.ssl-images-amazon.com/images/I/51-q9CWNBHL._SX379_BO1,204,203,200_.jpg\" style=\"width: 200px\">\n",
    "</center>\n",
    "\n",
    "<center>\n",
    "  <a href=\"https://github.com/cloudeyes/2021-msa-study/blob/main/04-flask-api-and-service-layer/04-flask-api-and-service-layer.ipynb\">Download Jupyter Notebook</a>\n",
    "</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 04. Flask API and Service Layer"
   ]
  },
  {
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   "metadata": {
    "tags": [
     "hidden"
    ]
   },
   "source": [
    "**참고자료**\n",
    "\n",
    "Flask 배울때 참고하면 좋은 문서입니다.!\n",
    "- [Explore Flask](https://exploreflask.com/en/latest/index.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introduction\n",
    "\n",
    "In this chapter, we discuss:\n",
    "- the differences between *orchestration logic*, *business logic*, and *interfacing code*.\n",
    "- the *Service Layer pattern*\n",
    "  - to take care of orchestrating our workflows\n",
    "  - and defining the use cases of our system.\n",
    "  \n",
    "We'll also discuss \"testing\" again:\n",
    "- by combining the Service Layer with our repository abstraction \n",
    "\n",
    "\n",
    "**Overal structure:**"
   ]
  },
  {
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R6igCioB7I6Dkvxdk75qnkr+Sv3uPE1o6RUAROGAIKPm7EvFe/FbyV/I/YAOLVkcRUATcGwEl/70ge9c8lfyV/N17nNDSKQKKwAFDQMnflYj34reSv5L/ARtYtDqKgCLg3ggo+e8F2bvmqeSv5O/e44SWThFQBA4YAkr+rkS8F7+V/JX8D9jAotVRBBQB90ZAyX8vyN41TyV/JX/3Hie0dIqAInDAEFDydyXivfit5K/kf8AGFq2OIqAIuDcCSv57QfaueSr5K/m79zihpVMEFIEDhoCSvysR78VvJX8l/wM2sGh1FAFFwL0ROBTkP9oejrFvIPVvDf8taa8ZVslfyd+9xwktnSKgCBwwBA48+Y+0hWG4NRS8boTUR9vD8Kk5ZCV82DcJDWsS+0aEDiV/Jf8DNrBodRQBRcC9ETgw5E+C76kLRHPpc9QX+aCh2Djri7yRl/wAbRUvRAhYj6D7G4ORm/gAzaW+Gwq/Xnoben4oyd+GmLYZvGsYw9vaIbyp+YS3NUOIrB9FdMsU4rqsbi8QfOy24VXbDP4lJhMBLV3u/aYf0tItLS1hZmYGs7OzG0ZgeXkZjMcrz289zHhm3Onp6a/mz3DMTw9FYDcRODDkP9AUjOyE+3jx5BT8npxGkM9ZORPf38LDO0dQkvkYn1pCQM3eOFenAkY7wh33u2oD8PTBcWQneIgFYEPkvRHt/mthDiH5x3XbhOifJJXAIyob18LicO9dBh7HFyG8rBsfuyzrkv/Hznm8bxzHx871w8b32NdN71vDKPnv5lD17XmRVO12O/Ly8tDd3e1IwCRbk5z5wPke44yPjwthLywsSDzz+VokzWfOJwWNqakp2Gw2icv8W1paPkuH4XksLi6CwsHk5ORnAoBzehJQ/ygC24zAgSH/3vpARIRcxqN7R5EVfx9lWV5yFqR6wuPWHyhKfwQKCEMtoRhsDhGt3hQEaDXgvaHWUHRU+8PzzlFkxt2Xe5wq2Mh0wZaEhENI/vHdNrxvHINvRiU8YjLxX38/h+vhsfBOK8eryj4hdAoIDGeSclyPDbwn93tsiGwYxo2XCXjfNLESbvW5a1wzje28Kvlv82i0zcmRQEnkhYWF6OnpcRA871mtVpDYGYaE7nyPxB0bGyvxSOQMw7CMQ0J3tgqQvHmPJ8PwJNEz/ujoqMRl/q2trfK/mQ+vTHd+fh5paWnIz8+XNHjPOU3+r4cisBMIHCDyD0JEyBX4PzuD1ooXQvIk+ur8Z/C4/QcK0zxRk/8MqTF38C78CpKibqO90g9tlX5IibmD9+FXkRl3D5W5T/Bwhfy7agLQXGZMI/Q3BO3c/P9hJP8eu2j3sR1zeFMzhB+uesI/t0mmAkjm/nlN8EmvgF9OPSLqR4Tgw8t74J1WAd+MKoRX9MIvuxZ/PXsTzzNrZdogom4YvpnV8EmvRGhJJ+K6d3bq4DPyb+7EMqjN6ekuGJikTeJta2tDb28vampqkJOTg48fPyI3N1c0/MHBQWRmZiIuLg7l5eVobGyEh4cHAgMDUV9fj5GREVRWViIpKQmpqalyj9o6rQkVFRUSl+lVV1cL4ScnJ+POnTsoLi7Gp0+fUFtbi46ODtHuKQgwLMvQ39+PpqYmeHt7IywsDA0NDRKeYVNSUqQ8fC4CCKcFxFqg/ctd+tf2l2MnKP7LaR448vd9fAp1Rd4y/09Nvzr/KR6skH9+ykPEvrmOyNAruHbxZ2QleCAt9i7uXPsV78KuIPrVVZRmPhbyT4u9J8LCc69T+BhxA/2NSv7bqTU7p/WucRw/X/dCcGE7opon8TS5DGd93+DWm2Rc8I/EjfAEBOQ14YJfJK6Hx+PWmxQE5Dfjxqt4/B8/HMGV4Bj4ZlTjamgsLgdGS7zH8cX4uMN+Aw7yj06Df2UVlkb79HQjDBbHB2CZGoPPs6dC2lFRUXj8+DGio6OFgK9duybETKIlAZPceZaVleHs2bO4d++eaPDDw8MSn8T/6tUrPHjwQEg6IiJC0ktMTMS7d+/w9OlTERJ4vXTpEkJDQ0WQ8PLyAgUCChlMn+H9/Pzw5s0bZGRk4NatW3LyPoUJPvvw4YPkHRAQgNbGeiyM9GBptFf7lxv1r21738f6sDTWj+WJQSxPDWN5ZhzL89NYtluApcUVoe/LJL7ZJweM/C/L/D5N9iTxplJfVOQ8EfIvSvcEpwYGGoPFMuDz6CTeBF9CmN95hLw4j/YqPww2Gc9o9o+LvImYV9dw59pvEm+kfQc9/w+p5m8KAM7k/6qqHz9c8UBIcQfeNY7hVVUv/n7+Nu5GpuPYoyBENowiunUatBiElXXi+4v38bKiD0GFrfjuwh28quwXASK2Y94xXWDms91XB/m/S8Lzt76wRN3R050w+OiJ2YYC3L99EzExMULcJOyxsTE5Hz16hPT0dISEhCA7O1s0c5r2SfYk3YSEBLEM0ERP8/zc3JyQ+ZkzZ0STDw8PFzKnyZ8afnBwsFgTqPH7+/uLZs9pAFOI4P9Mh9MKtBLcuHEDnZ2dePv2LeLj40XDf//+PSgsMAynDV69eonol0GYjbwJS9Rt7V/u1L+2sSzWDx6wJnjBlhEIe8kHLLaVYmmk2xAEbPM7IgQcOPK/dO4ncdgL9j2H1A93UJ7t5dD8OR1QnP5ITPwXz/6IcP8LQvBXLvyEuIgbaCzxRWv5C5nzf+Z5Avdv/o6ybC/xBdjSnP7XnP34TMnfofmTxP9y6hqeppTieVY1niQV42/nbuFRXCF+uf0UD2NzZXXAh45ZvKrsxY9XPfG2dljM/r/ceorrYR8RWtqJ6JbpXSL/afxLZCKehz+CJfysnm6EwXzEVczUZOH+rRtC/q9fvwa1fzrXTUxMiKZOZzwSrqenp8y7k/hp5ieRU9PnSgGSO6cMaLJ/+fIlfv31V5nXpxWAYUjqjEdNn+Z8Wg4Yf2hoSOb179+/L1q8xWJBc3OzTBNQ4KDlgb4IzJ8WAQoevr6+uH37tqRLi8STJ08Q8PgeZkNPwxJ+RvuXG/Wv7Xvf2a5nYAk7DUvoScdpjbwGW3oAFprysTwzhuVFw/l0s5q+a7wDRv5XIGb/Qm901xpaPs3+dPjLS36IN0GXcOPSL3h09yjOnvgeb4Mvob7YBzGvDQ3fx/MkClIfCvlfOf+TxKvKfSr+A0r+2+8tb2rizpp/QH4L/uvvZ3H6WbiY+c89f4szPq9Eu/dOq8TPN7zw210fmdMPL+/Ej1cfIaJuBB/aZxFe3otTT8Lwj8seMnVA64DhHLgzZXdo/lEp8Et8D3tBpJ5uhIGtKBpznXXwuHvHQf40+VOrNsm/qKhIiJ2WAZI0LQMkaJIzHfHo9U8S53QBBQSa9H/77Tdx4CP5Mwyd8igwOJM/41MgoN8B06WJn/4EtAI8e/YMz58/x9WrVx3kz2kBChk+Pj7iL0ChgtMAMdHRyM9IhTU/QvuWG/Wt7X3XI2DPfQVbRhBsST6wxj6A9f1NWF5fgOXlOVgjrsKWHW5YAqxzrhy+6d8HivwjQ64g0OeceOybZF1b6I37t35Hxsd7OPrbX0XT5x4AdAzk3H9ntT/6GoJQW/BMVgr4PT0NzztHxDrgdf+Y+AL01gXKpj9mmtt+Vc3fofkHF7WL+Z5ETrM/fQB40oxPgn9dPYAz3i9xPTwOwcWt4ihIh0HuCxDbOQ8KEvejsvD9xXtiDdjJeX8H+cdkIKChBcu2eT3dCIMl2zwsszPwuH//i+RPEz21e550riPBUwsnkZOQBwYGkJWVhZs3b8pzOgCeO3dOHAi/RP4k+aCgIIlrmv35m1o8fQNMx0Nq/vyf9zjFQMc+TjcwLAUU2Z9gZgbzXHFg1b51oN8v6yxIxsuzE1j61IGFxnzYc17CGn0XllcXxDJgS/LGYn+z4QuwacpfjXiwyD/0CoJ8zwmhmwRdV+gtGjynAI798TdZwkcPf+4DwKWB9Pjn5kDdtQEIeX4Oj+8fFSGAfgM8L5z5EaVZj2WZoJnmtl+V/PHPm09A4n9dNYCfrj1EUGEbolomwbX8Me2z+NAxJ+TO+f7HCcW4FhqLwPwmMftzzp8bBlHT5/4ANPsfeeAnfgOxO7gHwCr56yY/q0OK+/xHrZumdjrocekdtW9q+CRWmv6pgRcUFIgVgN77nGPnXD2tA2ZYrhJgXGr8fX19Yu6/cOEC2tvbwWkE+gyYmj899jmNwPl8Ou0xDAn87t27snKAFgAu6aOVgELE9evXRUCg2Z/TEbQUcCUABRD6EJhCCcvGuuhxiBDg3hG2eSz2NcCW7GtMC4ScgC31BZYmBrfFCfDAkD89+7l8713YVfTWr3rmc56fWn5F9hPxBaBpn6R//+YfYgWg9z8d/uj4R40/J9EDYS/Oy74AXOr38e0NBHqf/cyaoOS/vWZ0EvpZnzdi2qd2/ySpFL/e8cb9qAx4JRTKbwoGj+Ly8TA2RzR/j6gsvKn9hBOPg3H7bRKepZbBK7FIwtAqwPgUHnbF7K87/LnlqEzC5Dw6599JytToSdZ03KOWHRkZKfPzdLaj9s35fJrju7q6hMDpeEenPnrgc+kew5PwOSfPZXrU1jm/z3X/JGgKCVxKyGkCWgWYb0lJiQgCNONzioDTBxRAKChQy6cQwjCmVYDLDBnPFELoDMilgmttLuSWoGuhtg8BCgALNlkJQCsApwB4csqBggGWt7Yr5IEhf27UQ42+pdxY428SNLfrpZmf2j0d+qjNJ0ffQUGKp6wG4LJAWgW4EyBXCNBXgNsD88p9Avrqg1CV91SmBsw0t/16yDV/mutDS7rEi59kHdM2C5+ManhEZ+NhbD4CC1rxpnYIT5PL5Z5nXCG4pt+c53+RXQ/uAfAiuw4PYnLhEZ2DkGKu81/dIMj0L9jOq2r+2zfO7VRKJE061VGrJilT66Ypnh78NLlT2+e6emrkXPdP73taCyg08D4FAVoKqKkzTGlpqXj8U4Bgelw5QCHD9PgnmTNtPuNmP/QZYJr8TQGBwgIFEQoJTJthqeHTSsB9A/g/y0rnQjoPVlVViYCgmv9O9RD3T3d5wS7LPLkaQHwAIq9hsa8RsFu3VPgDQ/4bJeQv7di347v4fc3j/5CT/5cImeTtTOCO318i9ZXwznG+lPZ23Ffy39LY41aRSa7rEexGwqxXKTONjea1Xrj18tPnBwMBevovdFTA+u6Gof0XvsPy3NSWKnfoyH+jQsKuhlPy3/FledtB9q5pKPlvaezRyIqAIrBRBCiczk3JigBL6ClYY+4Zc/+yo+hGE/k8nJL/1zTy3Xqm5K/k//l7qb8UAUVAEfgcgaVFLFSlGHP/YaexNNBibP7zeagN/1Ly3y2C/1o+Sv5K/ht+ZTWgIqAIHFYEFjsqYHl7GfNBR7HYUrSleX8l/6+R8m49U/JX8j+so5nWWxFQBDaMwNKndli5zXPQUSxUJmHZMrvhuK4Blfx3i+C/lo+Sv5K/65upvxUBRUARcEFgaawP/A6AJegY7PkRW3L6U/L/Ginv1jMlfyV/l5dcfyoCioAi4IrA0uQQrB89YQk+Bnt2uOwI6Bpmo7+V/HeL4L+Wj5K/kv9G31gNpwgoAocWgeXpUVjjHxvknxmi5L+ry/K+RuKbfabkr+R/aIczrbgioAhsFAGSv03I/zjsWUr+UPLfaNdZP9zQvBWnSmvxn9Mr8LJtZl+Ssut6/J36rev81+9PGkIRUAS2DwEH+Yco+e9/4qe1QDX/fSlkKPlv36CmKSkCisD6CCj5b9a87q7xlPyV/Nd/7zWEIqAIHHIElPzdlcQ3Wy4lfyX/Qz6oafUVAUVgfQSU/DdLsu4aT8lfyX/9915DKAKKwCFHQMnfXUl8s+VS8lfyP+SDmlZfEVAE1kdAyX+zJOuu8ZT8lfzXf+81hCKgCBxyBJT83ZXEN1suJX8l/0M+qGn1FQFFYH0ElPw3S7LuGk/JX8l//fdeQygCisAhR0DJ311JfLPlUvJX8j/kg5pWXxFQBNZHQMl/s4P6BfQAACAASURBVCTrrvGU/JX813/vNYQioAgccgSU/N2VxDdbLiV/Jf9DPqhp9RUBRWB9BJT8N0uy7hpPyV/Jf/33XkMoAorAIUdAyd9dSXyz5VLyV/I/5IOaVl8RUATWR0DJf7Mk667xlPyV/Nd/7zWEIqAIHHIElPzdlcQ3Wy4lfyX/Qz6oafUVAUVgfQSU/DdLsu4aT8lfyX/9915DKAKKwCFHQMnfXUl8s+VS8lfyP+SDmlZfEVAE1kdAyX+zJOuu8ZT8lfzXf+81hCKgCBxyBJT83ZXEN1suJX8l/0M+qGn1FQFFYH0E9i/5NwdgrD1Mzz9hEIqJ5gDYsi4B8UeA+KNA5g1gsmf93rDNIYbmrThVWov/lF6Bl23TiOux6/kFDGK7bXjVNoN/iclEQEvXNreEJqcIKAKKwOcI7DvyR8JRLKSdxWy5J6YrH+vpgsFM5WPMlj3EQtoZ9yD/klr8a1oZApsn8K5zXs8vYBDZMScY/fcxGQho6fz8LdVfioAioAhsMwL7j/zjj2A54RiWkk9hMUXPtTAgNsRorzX/EYsV58vq8D8n5OPn/AYcKWpxi/OPwmb8lt+IX/MacaSw2U3K1IKf8xvxLzHpCG3t3ubXXJNTBBQBReBzBPYP+SccNUzYNGO72blMgcTNyuTAiLiJ2b/385bfhV+TNjueNbThv2QU4T+mFuBf0wrd4vxfE3PwP0Ym4n+ISMT/lpLvFmUysfkv6UVI6P20C62jWSgCisBhRmD/kH/iCSDhuNudywnHsRh/DEvxx8D/3a6MxC3rFjDVt+v9fGl5GdN2Ozj3/2ne4jZn89Aonn1IRmhqLnomp92mXMRoyGLF/MLirreVZqgIKAKHC4H9Q/41b4GaN253WsvCUPvhPrpSn4D/u18Z3wINMYBlck969vLyMigELLrROTo5hZDYZMRk5GHOanObshEnnst70lKaqSKgCBwmBPYP+dvnADc8Z6fGEPwuGgkZWeD/7lfGeWDRCiypNmm+2GOT0wj9kIyPmfmw2mzmbb0qAoqAInBoENg/5O+mTTI9Nwf/dx8Rl1WAmbl5Ny2lFssZgTFq/jFJ0mZK/s7I6P+KgCJwWBBQ8t9iSyv5bxHAPYhukn98VqFq/nuAv2apCCgCe4+Akv8W20DJf4sA7kH00YkpBEcnIj5byX8P4NcsFQFFwA0QUPLfYiMo+W8RwD2ITvIPikpAQk4RrDb7HpRAs1QEFAFFYG8RUPLfIv5K/lsEcA+ij05MKvnvAe6apSKgCLgPAkr+W2wLJf8tArgH0UfGJxH4Ph5JucWq+e8B/pqlIqAI7D0CSv5bbAMl/y0CuAfRSf4B7+KRnFei5L8H+GuWioAisPcIKPlvsQ2U/LcI4B5EV/LfA9A1S0VAEXArBJT8t9gcSv5bBHAPog+PT8L/XRxS8lXz3wP4NUtFQBFwAwSU/LfYCEr+WwRwD6IPj0+skH+pmv33AH/NUhFQBPYeASX/LbYBd/ULjk5AYk4RZud1h78twrkr0cXbPzoBGUUVsNl1qd+ugK6ZKAKKgFshoOS/xeaYt1jxLjkLGcUVmLdat5iaRt8NBCanZ/AmIR3F1Q2wLyzsRpaahyKgCCgCboWAkv8Wm2NxaQmz8xbRIJeWlraYmkbfDQQWFhZhsdlgsdrArw7qoQgoAorAYUNAyd+lxRcWFsBzq8fc/DymZ2a2mozGXwcBkvfi4qKcS0ubJ3IKbjabDXNz83JdJ1t9rAgoAorAvkZAyd+l+UjY09PTn93diHbIMM7hyiorkZiS+tk9M1HncOY9vW4OAZI2Ba3Z2VlQozePjWJshqPA19nVjagPHzE5NWUm47ia4Rw39B9FQBFQBPYxAkr+Lo3X3NKKrp4ex12SC4lhvcHf1D7NcDn5BXj7PvpP8Zgew/Kqx9YRIJb9/QNobWuH3W4XvDeCMdvJbFtebTY72PYhL19jdGzss4I5hzPb97MA+kMRUAQUgX2GgJK/S4ONjY9jYGBQTPaDn4aEECqra9DV3YOBwU+YmJwEjcskAWqbw8MjGBkdRUtbGxius7sbFosVWbl5eP3uvRDM+MQEeDJ8e0cnyioqJb3Z2TkRBFyKoD+/AQESPjX1yckpDI+MoH9gAO2dnSgtr0BHZ6e049jYOObn50WIY9jZuTmwnZtaWlFRVY2e3j6MjIzK7+DwV2C7MwzDjoyOoaevT9qWwgHbXw9FQBFQBPY7Akr+Li2YlpmFjOwcIQ9qgTEf4xEd+xFPfJ4jIysbryPfyzfgrVYbcvMLUFRaitj4BES8j8aHuHi8CAxGd28vUjMyEf42QggkPikZuQWFKC4tQ1BoOKJj4xAYEoaSsnJYLBaXEujPb0HAarUKMWfl5EmbPXrqjYTkFERGxcDXLwBVNbXweeGP4ZFRzM9bkJ2bh5LycmkPEj3bJmClLZqaWxAU9lKEh8ycXOQVFqGkvALPA4IQl5gEX/9AFBQVb4tPyLfUUcMqAoqAIrDdCCj5uyD6PiYWUR9iRXNPTkvH1PS0OIH5B4fKvafP/dA/OChaJkm/urYWdx54on9gUOaeC0tK8SoiEh/iEhAYGi6CBIWChsYm3Hv4CH39/RKORPM8IHDN+WWXIunPryBAjT6/sAgfE5JAAYBCGq0B9N1g+1GQu/foMeobmzA1NY2gsHAh9PA3b9HV1S1EToK/df8BGpqaERASivSsbDx77idtHxAciryCQnECrKmtw/uYD5iZnf3TdM5XiqiPFAFFQBFwOwSU/F2axJn8SQIkETqUUWMn0aekZ4DWgZq6esTGJ8pc86NnPmL6J+l09/TioddTREbHwMc/AI+f+aC3r1+mBU6dv4TU9ExkZOWIxukXFPwn50KX4ujPdRD4jPxz8+D93B8Li4syxZKakSVEHv0xTjR+mvD9gkJQWFwiGj7N+pzPb25txeXrt8SC4PHISzT8uvoGmb65ee8BXr6NECGCQuHLNxHSZjr3v07D6GNFQBFwawSU/F2ax5X8Z2ZmDfIPeykkQQ0+9OVrJKemC7GQ7L18fGVumORPzd7j8RPD7OwfiIdez2ROmZr+uUtXxdRfVVMj5mjOIXN5mR6bR+Bz8s+H9wt/8aPgnH1aRhYys3NlXj8q9qMIbK8j34nPBc37FOxI/vTXuHzjtpD/o2fe8PL2lf85TUCrDi08nD6gr0Zre7tM+2y+xBpTEVAEFIG9R0DJ36UNuNSLc/LZefmi7dHES82f88N01uvrH5A5ZJqFG5qaQGeyB15PMfDpE2ZmZlBdWwf/oBB8iE9AUPhLJCSlID4pBXUNjUIkn4aGMG+xiGmaS9NUg3RpgG/8SfLnPHxcYjJy8grg4xe4Sv6Z2XKPjpr03yDh08+CKwPYngODg6Ld04pz7fZdaSPO/9NngBYCOmlSmCDpU0jjydUF2mbf2EgaXBFQBNwOASV/lyaJjYsX5y46e9FjnxokyZrmXq4Dn5iYFGc9avT0EKcHP538SCqNK/P4tfUNoMMYTf9zc3MICX+FpNQ0STf89VvxKqfFgF7mur2sSwN84086TBaVlCIhOVWEAJI2CZoCG+f7aeLn/28i3+PE2QsioFHjpzZPku/s6hInTgprLW3tCHv9VpZ60sEvMTkFsQmJMn3T1tGB9o4umdZh+nooAoqAIrCfEVDyd2k9LunjOn8u96LGaLcbO/7RNEzSoPbX0dmFtvYOWKxWIW8SOc3J/sEhQkRc6ketkuGoJVKDpEBA50H6C1CbDH75SshficSlAb7xJ+f3h4aHBUu2WWNzs2DOvRnohElLCzHu7etDWUWFY20/lwVGvI8SDZ97MlCoow8ArQIU6Cgw1Dc0StoULujpTyGvubVN0vjGYmpwRUARUATcCgElf5fm4BwwyYJXniRvnrxn/r/WM2r4nCLg0jOGM9Nh8ouLRlq8RzP19PSMhN3I5kEuxdOfLgiYWJt4m8KU831GMZ+b0Sk0GG0xLW3G52YcXnmyfZie1WaTlQKm8GemoVdFQBFQBPYrAkr+29RyJmFsU3KazA4iwG/5aHvtIMCatCKgCLg9Akr+W2wiEgk1e34mdmZufoupafTdQMBqs2N6dg5zFosIAbuRp+ahCCgCioA7IaDkv8XWWFpeFiJ5E5+Ooqr6Laam0XcDgZHxSbxLzkJjR7fsCbAbeWoeioAioAi4EwJK/t/YGjQXU9PnlQfnisenpuEZEomE7EJHanxOwcCYS3bc1n92GQG2g41Om05L9HoGhuD9OgbFNQ3yjC25yI/72BekvXa5iJqdIqAIKAK7joCS/zdCTu//qZlZ2FfW6Jvk/0jIv8iRGgUEfilubt4ixOJ4oP/sGgIkfk7F1DS3i4BGAYAHyd/ndQxKahuF8En8s/MWtPf0Y2zS2PVv1wqpGSkCioAisAcIKPl/I+hTM3NIyi1GXkUtOvsGRRAYnZgSzT8uq1DIZGRiErUtHfiQnoeWrl41LX8jxtsZnMLa28QMBL6PR0lNIwaHR9Hc2YMn4e9RWFWHwZEx1Ld14n1KNp6//SDtaVp1trMcmpYioAgoAu6EgJL/N7aGxWpDaW0jLnkF4FFoJBJzikSzvPU8HG8S0lHV2Irw2BTc9A2DV9h78QegdUCPvUGA2j4FseveITh53xvP38YiJj0XN31DRSgI/ZCEK8+CcObhcyTkFImlZm9KqrkqAoqAIrB7CCj5fyPW1ArnrVbc8XuJf157iJ8ue+Dswxf447YXTj3wxZHbT/CPS/dxysNHNE3VIr8R4G0OTvxn5+YRGJWAHy574LsLd/GPS/fw05UH+OHyfXx3kb/v49KTQHwaHZd1/dtcBE1OEVAEFAG3Q0DJfxNNwo1fOF989uFzIZMfLt3H9xfv4Xshknv4x8V7eBERKybkTSSvUbYZAVpeaPI/ed9H2osCwHcX7+G7Czzv4ujtJzJFY27ktM3Za3KKgCKgCLgdAkr+m2gSapP08KcJWbRHksnKSSHgxD1v5FfUgh/u0cM9EBibmILvmw8ipJltxSsFNo+gNzL37x4l1VIoAoqAIrDzCCj5bxJjevPnlFXj6J2nK1qkIQD8eNlD5vrpSKaH+yBAx7+Gti4cufUEtNSYxP/rjUdILyyH1W53n8JqSRQBRUAR2GEElPy3ADAJnk5/31+6h+/O38X3F+7hn9c8UdnQomSyBVx3KurkzKxMx/x6/RH+fuEufrxyX3w3ugc+7VSWmq4ioAgoAm6JgJL/FpqFH3wpr28GtUea+3+55onHoe9kq1/18N8CsDsUldv6cjXG6QfPpb3YbmkFZerhv0N4a7KKgCLgvggo+W+hbTj3PzE9I2vGf7nuiTMPnqOouh4kGT3cDwEKZPT85xJMrsq4+TwMw2MTsmOj+5VWS6QIKAKKwM4hcCDIX7bR5WdYV3Di1bq4hBn7gpxzC4uwO621X1haxvziouO5RbZ+NSIzLsM6x7Xxc68raS8uL4PhZxeMtMfn5lFYVY/zj/zw9GUUxmdmMGOzS3yGYTlYPh5mucy4zGNh5RmfM5xruZifebAcrItZNv42D8Z1rjPTYT3Ng/87x2UdzINxpc4rdTLxMmOzDBLX6blznZzTZt1YLufnznjNLCx8Xi6XOrMOrnU28TLTNsvNcM51Zj7OeLJcznH5nAJbcXUDbviGIbmwHGNz84In68fwZp1ZfgdeCwvyv3OdiJf5nHnwt/mc5WNeZjuZaZvlZj7O7ezcRxiG+DnHdW5n1s85bf7vnC/TNuOyXEzbuU78bWLCchFD5+fOdWIZzbZgGJbDfM48WGczLq/O5XLtf854Ma5zudjFXevM8OYheDn1e6btnC/DmnVm+ZiW+ZzYMLxZZ15NvBiG9TPrZOLlXGdnvJgHy2IeTMe5zvzfuf+51tm5HRmXaZvlZhk/q7NTuRiGz82DcRnWrBPLz9/mUMHn88Rr5X11rTPrYNaZYVguxjEP1sNMm1fXcjnXmXUw8WJ8aUenfG2Lq+3IcK515j0zZ2Jn4sF8mY/5jOVj2ma5WH7Ww3zOq3OdWH+zXHzGOjier/Rd1zqbeTOc3amdpf85vc+sg3NcqbMT1/C3ebAMgtcKJmxHMy7L5Vpnpm02BcPxt3OdnfEy89jsdd+TPwEyG5VA8SD4H7r7cbq0FmfLanGnugk145MOjDqmZ+FR0yzPzpTWIqS1SzodiYFxy0cncKqkBnx2s6oRuZ9GHC/AiMWKoJYuXKqol+fXK+rROTqOkA/JKKhuQNvUDK6tPLta2YD3nX2YXLEEWBaX8LFnANcqGyTumdIadM3MSmdgow5brPBpbJdn58vq8KyhDYPzFke5C4ZGpTysE8uWNTjs6EjT9gVEdfXLfT5/WNeCntk5R9ymyWl41DaD6fI562Ae7FxZA8O4UG48u1PTJBiYeI5bbfBuaMPF8jqcK6vF3ZomwZzxGaZmbBK3q5sk3SsV9YjrGQDLw4Od+2VbNy5X1EtcPm+fnpVnrHPv7LzUmWXiGdzShVGrTZ7zT1r/EBiHzy6V1yNzYNjxjOHYdmZcYtc/N+/AhHUm1iwz24vlMK01SSWV8K+sx4WVfO/VNKF2fFLqwwxYfvYbxmW9vRvbMbXiFMiXuXhkzFFnps22II7m8aKpQ+ISb+LeMjUjj/jCs86edS2Ocsd09zvw4vPU/iHHs1tVjSgcWnUe/TRvwZP6VnnOPuDf3CH9hu8Bz7apWZwuMfoH6x7fMyh9mplP2OyI7OgVPBn3RlUjOqdnpW8z7pjV5uibbC+2Be/xYDvnDI5I/2Nc9t3K0Qm5z8GKdWdZ+IyYPaxtBt8z8yC2xPNMWS1Ol9YgvmfAgTXxTOr9JPcZn+HqxqfMqOicmcXjulacL6+T9H0a2oTcmC/LxXIQZ7NO2YPDMuAyAb57oa1d0v/4/GpFvdSJ9SUh8P2TcpXWSpg37T0YtxqWO/bPhN5BXK9scLQH+xTzZXyOBcTI7H98X4fmrY5yFw2POd5XYsK0zGPKZkdMV78jLvuDORYwjDlGsc7nZCxod5CC+b6a78Wt6kZwbDAFBJKY+b4SF9aPbc+D4xuxZZ9kudm3WQ6Wxzxet/fIu8Yys+5sOx7sm+x/fM/MOoe1rvYRhuFYyfeUz4l1ct+qPw37UmBLp/QPPide3TNzDoGpb3bekS/r9qq9x9F3WafE3kHpn4zLcbl6bBIcU3mwD91beV/5PrKMHE95sJ0ZluMW47Je2YMjjjGMbRnW1o2zK333Xk0zGiZW+x/L+LB25X0trcW7zj7hC6bNPpL3aVT6rlmu/E+jki//cPx+3tguYyv735P6NikX4/Hsmpkz8CitlbrFdg9I32ZcY0zvA3mE7cgxSvByEi4cGW3in31L/uyI7LCtUzMIb+sGB0m+jDzY2OyUf80pxd9ySvFLfoU0vokPX7Lf8ivwt9wyCUNBgEAzTUp5hUOj+LfsEnn2c36FEI4p0bMDM/w/8srl+U+5ZRias6B/ZBSTs3NonpzGj3lGuj/klSOgqcNBCizX245e/JhvxGUebEx2Pp58sdjpWe6/55bhTEkNRi2rREiCZnlYJ4bhwE4y40FJN6C5U+7z+ZGiKgyt4MHnDRPTOF5cLen+LadMBgQTD7447HTf5ZZJ2r8VVgq5sbw8iM2NygZ8n1cm8Zm2KRgwTMnwGH4pqJS4rDMHW5aHBzv4s/pWwYt4s/wm+bPOJOtL5XUSl+VmOzI/8/jQ1Q+myWf/yC0T0jCfTdvtuFvd5IjLdPjCr0AiL/AvBRVSZrYXSZNo8bsME/MWvKhvw/crdf6jqAplI+PSd5g+y3+0qErifp9XLvWnkMmDAygHuV8LjToz7djufgfhMAyJl/VlO54sqZF+wfvMf8Riw7Hiake5OSCaafN5dFc/2Eas8z8LKmSgkowBIS62I9Pmcw6CrDOxZL0pfP5bttHvf8yvELJnn+bBAZQDEfFk//kpv0LKJRrU8jJGrVZH32WdHtW2OARXtnN6/5C0H+Oy7xYNjQleTJ1p36psdPTdY0VVQtpmuUkgfA9Z5r9ml4IEY/Yv4kmhxCw3wzkPvnxfT5fUSP9k3pfL6jC3YLyvTIPv699zjHeO/Sul75ODNEiUXiv9j3F/yC3DuM1mvOvLy2iZnMGvK32XdX5a3+bof8SUA/1P+Ub/Y9kbJ6YlLrHmWECi4H2eVBhMkmW9STDm+8r2etPRa8Ih7R3Y3OmIyzZ1Flz5jjA9vpPsQxfK6iRfJsD39aPTe8F3L2NgyFFnPr9R0SB9m3GPFVU7xiC2NYWlo0VG/+M77d/U4eh/TP+ZvBflki/TrhqdcJSb2F10el/NsdMMQOyJI/FgP4vq7DMfCa4UJsy+y3Q4/nGM4DEwZ8GPErdM4lLIM/suBRv2GY6dTPvnggpH/2Nc9oPfC6vkvTHe10aH4Mo0qsYmwXGNcYkJFRTrijWF7UxyN5/9UVjlEHjMcvEen7MPUbA3BS3GpYJi9l22t7OCQk66VFbn6LvnSmtlnGc8nhRs/5ZtpMu6s47m2MoxKKSlSzBhvt/llArfES/TYkDh1hxrBcRv+LNvyZ/AcbDmAP0fU/NFKuLLw4OEyJeegyLB5wtpNhafE1yCxmcMQxIxOyDT5ctjxqXWy7RMQmEno9BBrZNh+Jxxzcbkcw4KfMYrB0VTcGAY/jafM3+axdj1ebKTslxm3iRBDozmQYJgfma5+dt4bQySnbUvyDM+Zzpm5zbrTBz4jKczwbL8xGdkJW0TL5aXB8vFe6wz45p15jOGIZ4cFPiMdePAbNaZKTAvMy6vZufmM9aPeJrlIj7E0DxYR0dcC9NeNX8yHMObcZmOs5mR+TjiWm2f1Zl1mnVKm/UjXmadiYmJNdPgc7NODEO8zDrzOV9Asw+x7LQSGOWyiSZp1pnP+L/Z/xiG/ctMm8+Jn1knlsH55SZexNN8PmUzTNFmP2DaZv8x+59pwWSdnfsf0yaGfF8Yf3HJqDPjs07Ek3F4sM4sJ+OY6fM9MfHilXU2nxn9b7UdiRcxZLkZhmk5x2WdzbgM91mdHXgZebNcznFZDgpUjM/yOadNXFku1ofPiYmJNbs36z9hNcrFMMTHrDNrbuJl4m2+U3y24NIWru8r68DymHFZLvMw+t9qOxIv1sNAG9KPjbiMb5P+YsaV93VhUerCtBmOeZmY8DkxpOLA51Jnp3ZkHzHbgnWW99XsJC7vK+OyXOYh76ujb1sFH+f3leVwzte5zq7vK+vM9Bx1XlpyYMVycVx2rhPLyfKYdWY9zOe8OteJ/5vlYjuzXOZzxudv5/fV+Z2asHGMWq2z6/vKPmHGZdmZltl32RauYxTrwbGVYVhnxmU8nqw/y2P2TaZt1onhzP5HixKFI/OdY5lKhsdFmKdgTWxMjjLbar3rviV/DlQRHb34Ob9cJFOCZHai9SqtzxUBRUARUAQUgf2KAIWA/KFR/E/xWWJVqJ+YcgitG63TviV/Ej0JnxITgTAlsY1WXMMpAoqAIqAIKAL7EQFaB8h7nMLh1AynU5yt2xup074if5pxaEai6cQ0zW2kkhpGEVAEFAFFQBE4aAhwyoH+DPQv4RTCtxz7ivzHbXYk9X0Shx7neZVvqbCGVQQUAUVAEVAEDgoCtILTEsCreW6kbvuK/Cnh/L9ZJbJExFx2tZFKahhFQBFQBBQBReCgIkDS59Q3tX/T0XG9uu4b8mflXrX14D8k5aJC1hevemOuV0l9rggoAoqAIqAIHFQESPhcEssls1w+uZFj35A/zRrmGmVq/eZyiI1UUsMoAoqAIqAIKAIHFQFq/EVDo/h/MotlP46N1HPfkD/XIo9arOidmXNsbONaQZnvkM1OuOEJf+mhCCgCioAioAgcbASo+XODOZI/N4/ayLFvyJ+V4eYc3FhjrYOWgDmbDYOTU3JOzs/D7rRRw1px1ru3sLgk+W1GkFjk3Ivsr29sorJeXofm+fISoKdisKU+sMydvPbulWHeWyq/vgOKH/vA9vVjzvdze2TuRul/0MifBEzThvMObs5v/9jsLHKaW/EwOV3O92WVmOZWr86BvvH/ibk5NA8OgULAtx4zVisKW9vRMza+ZSHkW/N2y/BLC4B1GhjvBMba9VQMNt8HJrqB2RGAfWq3jwWLkbe23+bbT7EzsJvqAyz8hsBWWMp4AciP3OWPW63z+xMbOfaN5k+Nn/v4mx9Ica1ccXsnTr2NQm3fAPomJtAyNIxpi0XM/9TArfYFWLgt48oXrEzN3MYvOHGTIKdtJgkk8xuYmERucxsYhs95tdjtsK5sTep8zwxjlmt4egaeKRko6uiSOOZ9ps38WBamxTSWlpbl6hxG7jvC2lfD8oMQK1YFs9xmPLe9UkuaHwfaUoCMa0D6FT0Vg831gYyrQN5DoCsXWFz97sXO9/0VbZ8DdmUokH55c+XXdlfc2AcyrgMlLwxlaButWOQXnhs59g35c+/lsyU18lGPtSr2sqgUPpk5Qozc+pfTAOb5aXIauS3tyG/twMTcPOZtNsxYrBiYnEJpZze6x8YxNW9xOBGSVDltwLCcSlhYXJRr48AnpDU0o7y7F/N2u6RBISO9sVksBBQ2zOPT1DQeJKehoL1TwvI+m4Rpd4yMIrOpBXmt7Zicm8cs97G2uOZvkXh94xMStrCtU8pDIYZlHZicRE1fv9wz83TP6zKwYAU6c4HUC0DCMSDhqJ6Kwbf3gfijQPJZoDLMsCJRqNytY3nR0NKqwoGk099edm1vxczRB44ZwmNXDrC4+jXF3erKZj77hvz5MY9/5lfgaGGVWfbProm19bgdlyRaP4mZxE9tnET7ODULYYWlCMwrwsOUDCHqoLwi3IxPRnB+MeKq6+CXXSDaNeMNTU3DJzMXFV29Em98bk7CPEjJwLvyKvjlFIDkTvK+EpuID5U1uBgTj4zGFhE+SPJ87pHkQv7LEIEhua4R78oqcTcxFaEFJUisqUdwXhFsKxaF3rFx+GbmA1VPzAAAIABJREFUorK7F88ycvG+vArPMnLk2jQ4BM+UTDzPykN4YSnGnT7b+xkg7vCDEig791A9kHPPIP74I0D8USwnHMNyop6KwRf6AAdK6SvsL0afQeJxoNgXmO435tx3q49TyOCUVUsSkHbRILH4I1hO0H6s/fcL/dcc21z7MZWf5DNAfTRgmdw23xVyDqfEOe/Pr8Nu5Ng35M8vIx0prJLP3K5Vsd7xcfhk5OBFZi5KO7swOjMLkvbr4jLEVtWKdt87PoHzUR/lN8n0bUk5aJ6nRn8mMkb+n7VaUd3TJ2llNbXCOzMX/ROTOPc+FtW9/aJ1U1vnlMCL7DwUtHWIsJDe0IyrsQkODX4t8me5abJnHnxOcv8p7A1S65tw8m0Uhqem5Vl5Vw/8svOF5CNKKyR/kv6pyBikNTRJHZgvLRO0JLjtQY2fc/z5j4CkkzKIc8BcSD8Ha+41PRWDNfuALecq7JkXsOxM/okngTwPYLhxl7WlZcA2A/QWG+bqhONGP048BlvWpTXLr31b3232AVv2FSymnnESYo8CKeeAihBgbgxY2r6xm0orv3Nzu6oR750+o/w1btg35E9nBq/aFjxvaFuzPktLS0L2KXWN+CEwHP7ZeWgdGsaNuCTktrSBxN85Miqaf0hBMXyz8sScTrM+BYXHqZnIb+sQB703xeXIaGhCQWsHnqRno65/ECcjY4SEmTmnFZoHP+FpepYICtTU6XNw40OCWB5I8F8ifzYSnQE/TU6hrm8AfwkIQ1F7J56kZkg56SBIqwCnEr4LeilWAZr+eZ6K/ABOb1yMiROLxmYcEdcEbydu0kw6MwSUBwJJpxzEv5hyGlO13hhrDcZYW4ieisHnfaA1BBON/pjPv7k6aFJbSr0I9JUBdLjbzYNOhbRc0VeF0w7U+FeIf7w5AGOt2of1PXbpA+wTrcGYrH8Oe8b51X6ceALI9wSm+rfdWZUr4Xpm52Spn0dty4bekH1D/iRNCgD8Zv1aB80eJN15m12I1SslA5GlFTgX9RFP0rLwtqQMb4rLRKPmfLsz+dPxrqK7Fw+S01HY1oGrMXEYmZlBaWcPHqdloayrBxej42QJIfNmPvX9g7gcE48XWXmSbmh+ESJLysVXgGVdi/zpRNg1Oo6wwhI8Tc+Bd0YO/u8XwSIE1PT2wyMxVQQBThfQsvAX/1Dcjk+WstNKEZBTgOzm1v1B/pRsGz9+Nj+6lHwKMxWPME7ibw/TUzH4Ux8YbwnGXPE9LNHEb2r+dJBqSQbsc7tv7p/sAUqeAxy4V0z9tEpwYB9rC/1T+bVf63vNfjHR5A9r9hURFB3TVnkPgE+1K8RPxtq+wyD/efy3zGI8OGjkvx5MhNKEk3P974rL4JmcLpp/YXunkDmX7nGOnFYAZ/InWU/OW3AhOg5BeYV4lJIh3v4UCKj5k5hpcqf5nwfDtw2NCHnX9Q+AywyZLp32KBiwHGuRP1cJ0L+A/gftwyOivf896CWaPw2JCf/ah3jxAeCUBFcD/PYqEin1jZI2y05HP/owuLXmz/lRDtLt6YZTy8oAvpR8UgZ1B/F3hGNMT8XAqQ+Mt4ZgutJrxVS6MudPM2lthLFaZDcd/JbsRp7lQYapdsXvgGbc6eonGGsP1bZzajt9l1fGs/YwjDcHYr7wFpaSDIERnCqi5YhTRxwbd+AgJw1ZrDhTUovX7T0bymHfaP70HeOX/PhJ37UOmu9pTqfnPIkyLK8QrwpLEVpQjMTaBozNzonHvrkR0IvsfGQ1t4qlgOnRSfB5dj5ORESJ+Z3LJap7+uGTlSem/FOR0eIbwPSZD1cKcF6eAgJXDvA+LQjmMouhacPhj06AI9MzIhhweoFm+4TaerEQDE5N44fQ1yIIML5/Tj6Ov42W6QhaCV7k5CO6ohpTFouUnWXkFMOVDwnoHBnb1P4Da2G3bffYSDTLDlYB2bdXHaMSj8OSdwMTzYE6YOqAuWYfGG8LwVSdLxbSzoojnZjYqW2X+ALUvje4fGlb+jKFjPkJoCneWF1Ac3/CUVCAnS1/aFiutB3XbMfDLgTQcjVb7rliuWK/OQaknAea4gwHP4eKui091ZEIFU7u8jdqsWHCurEVBPuG/C2Li3jb3ot3Hb2OCjv/k1TbgGfpOYiprIF3Ri7uxKeIdt49OibmeXrHJ9U1ILyoVAg7MLdQvPVJ2DyolWc0NktYzq+TxOkI6J9TgNHZWdBP4GFyBj5W1YpA0TU6JvPxJ968F2//qPIqIWrb4qI0L60BLMMvIa9xMTIG16I+wispTfKkl39cdS1eFZfhr4Fh4mfActDx79S7D6LdU5LjBkO341OkzPE1dQjOLwId/3iPyxMpILjVQc/+qV4g5+6qmTT+COyZFw0zKc3cOmgqBq59oD1M+oct8+IK8R8B6OCXc98g/t3ezMc+D/QUGRo/B+/4IzKYzxfdwXhLkLafa/vpb6NPtIdhpvIxFlMMHycx9zuWpk7typSVswV8PW7YN+RvePtX4nRJzZp1okmc6++57I5L6Wiip6ZMb/jBqSnxkidxNw4MOjz2qcHTTM/DMP3Piwmf8Xhwh0B61HMagZaDss5uSZ8OehabXbR5Cggfq2uR2tAkpn6mw4PL9riSoHN4FBRA6MjHMrGc9f0DEqeyp88op80mFgiSP737uZqAqdB/gfESaupB8u8aGZM8mS6FFdPKIBnu9R96rk72GvOj4tlvLIOiJkeNjpqdEr9OdazVBzg/aim4tTo/yvn+rFvAQOWKg5/xTu14F+e7SwF2sBrIuumwXNF8y/lbsVypAKvv8VrCTlsopuq8jVUqKwKjODqXvgCmB7bVs/9L7wG5R3bB3aBSuG/IX9b555XjSGHlmnWXinNawGqT3fxMUmdg/k+ynLPaRBhgWL7nrkMKydT5Hv83fzM8CZ2EzI12jDSMnQA5lcB7rpo402M455PpUSChpk+hgs84v8+9BULyi1Dc0fXZ8j2mybDMg979UsYVAWNNIPbiJsvDHfzq3htrWGUd/1Espp42HPyU+HXAXGvA5PxoSzDmi+6KSV00Ja6LpoNfW5pB/Ls2z0/itwHjHUDh01XLVYKxpE8c/JT4tR+v1Y/p4NfoL0v7lsVRdcXcz71NuFJkFyxX5BFOiecMjqB2nFsGr3/sG/Kn5n+8qArnSmrXr9U+C8EliE9TM3EnPll8CfZV8Tk4c56/Ld3Ywc908Es6AZpJ1TFKtf21tH3eo/PndMUjLCYbe0DIzo/cPa/hA2Cd2d3XgAP0/JixNDX5tLHSIIECLB38nhpe/WsN/HrvkAsEYZhoDoAl/6ZsXGYIsMeNsfBTjbG76S70ZPmwz9w8/pZTCq/6tZfDuxZj35A/nRlKhsZQPjLmWod9/5sWBS4t5JSAW6/dXwtpeq/2lqxsgGLMj3L3Pppx6fX6pYFf7x9uoUAc/Gp9sJB65vN5/opgw0y6axo/OzW9iUeB+iiXpaknMVPxGFyFoP31cPfXL7U/Bdi5Uo9Vz346h6ZdMpQh2+yuOapyqV/v7Dz+W1YJHh60pX40l3P7Qqs772i3Fjlu4J45PcDrvjqo8dNMmnvfcNAyN0Dh/GiDn2pLqhWuTZorDn729POrxE9tm+ug+eGcXf1gDweWGaAjyxi0V7Zj1aWpSvZfInzjfhjG20IxU+UFblwmGj+tnvx+SdVL4zsQ27iD33q8QM2/f86C73PL4d3Qvl5web5vNH/SIiu4sLTPCHJDzbDfAi0bDiz8tGqpn8MxijufceveqTofYwMUJb+1ye8w49IehommAFjyrn9uJqVnPx3tdvNDJxS2KWhwaSpXqKzs4LeUxKWp1yA7+Ok8v/bhNd5Xh+XKeWkqdzLlvhDTg7s+oHPOf8JmR1hrNzIHhjeU/74hf1aOX/aj458ee4wATbL8KAUl3JWdzyj50oRrbICiS/q+rjUcYq2qNQTzhbdBgkXcESDuD0Nbas/ckZ3PvvqmUNCgAJt9x+mjU0dgy7qMiUY/jK4x6Gu7HuK+a/YHOqo2BcCeccGwXLEPcyMfWkBHW3dlSd9a/ZqWYyrI5MqNHPuG/Lmt793qJnhucD5jI5XXMJtAgMRPM6l84ezSqrbEHfxK7+sGKCsDxFBrKIZaQjDcGirn6C5rkMz3U3OInKPt7jFgc408N8mhSZ0feJINUPiFM24DbeE66I0NWpvotX+OQgc/amil/sY8/8rWvWK5qvUWk+5hJXr2XfYf134z0hYGPuPVGRv+HmwOwXb2cem/LUzzz32X+fD5QGPwmuV0Ltv2/x8mgqEl/8bqlBUVoIzrQH8lwD0i9smxb8ifGv8v+eVf/KTvPsF7nxdz5QtnPYVOXzg7Kuuzqc3RnLv9L9ufX/7N5jHcFoa+hiAhRNcBbLNprhWPaWcleKA67ynKs71QkfNEBse1wn7LPQ56MsCuMSA6p8MwTaW+SIq+jewED/Q3Bv9pwHYOvxv/y9a91U8/38Ev5SxQGQbMDu/KOmjHy0cBlg5+tZErH53inhRHZdWB4eAX7Bb9eKQ9DD11gRhs2l2Hw4ZiHxSmeWKoZXULY/bp7toAZMTdQ2eN/2f4dNUGID32rrxXG+lLJHRHXza1aacrn9UWPENx+iPwnXVNs7c+CCWZj5Eac0fesb763dp4iUtTAzFXfHfVwY9r+rl1b0emQfy76qjq6NGyJJ1T4jT9T27QOr6vyP/X/AocL6xarbH+t7sIcH6U61Zl694Vz/7E47K+VTz7d1C7lcHCaYDggGAMIH8WDtbSFhie2gnJkIT8qcUYUI2BKPwzE685OLkOOl/Kz7ksDEON++aVXxDz+jrC/M7jVcBFdNcZgpGZ35/SXqmP833n/BhvoCkY/Q1Bou38KdwKNhykSfbenifg+/gU7t34HTmJD+Sec5xd/d908Mu8uOoYxY2g6OAnG6CsvWX3jnRuDs5cocIPBSWfc5THdPCTL9S59LNvxWqt/vOldv9a2rQcRb28hroibwcBrpXOt+ZnhufVOX/zfuqHu3j28Lj0NbMP8n2pzn+KS+d+RHX+s8/ikaivXvwZvfWB8h59KV3mxfRYL4ble7JW/tTqP7y+jmDfsxLGKJdRVsanMH3l/E94F3YFnnePoqbg2Wfvr3Oa2/k/5/mnZQc/Jwc/CrB17wxr6B4RP98TmvrHrTa8aGpHct+nDb06+4b8uYHBveomPFaz/4YadvsDLRtbrRb7GvNb5hfO0s9jsv7Fjq3n58vOwWCw6XMT30hbqBA4BxLnF5zhOVCtpdnzfknGYxksaL7koELthveZB9ORwYn5NRtpmAPPcJtxz4xn5inlc3rGfDmoXbv0T7wPv4qQ5+cR5ncB1I4k7RZjOsC5fJIGzZhNRjn4m89ZBpaP/7N8ZdleIlBQA2MYlkGwaV6NR+KnFnb3+m+ozH2C3KQHIojUF/t8hpNZ/h2/ioPfyhfOzJ3P6FhH4h9uNDT+XTP389sTVqCv1NhBcMWzn46qXKctW/duUYBlW0mfYpvwq39mn/pKu1O7pZbv2hbsa8nRt9Fc9tyRDvsW+7zZf4z8zOkdIw32DYaTfr1SBjNtPmN8SWelzzvKuPKeJby7hcf3j4mVTMK3hoLadXmOF86d+gGVuU8/K2tN/jNcvfATumoCjLTFXG+UheWTsggexrQBhZkg37NoLPV1pCPhzHK1hCL61TUhfwq7LC/7Od/F/sYgvA66BP9nZ9BXH4hnnicQ8vycTEfwuVnPbb/y2xM13rLvg0xZ0bOf/bkyFJgZ3N0pqzUGd871c6nfX7JL8KiudY0Qf761b8iflRuzWDE8b/1zLfTOziLA+VGaScsDVz50cgTL8UdXHPy4AcqqeXC7X7q2yheirce+uYGCVE90VvuL1kCzZOyb62KGbCzxlfv1RT5C7jQHlmV5oaX8hWMwaK/yQ1XuU3Cgaq/0k4GKpnESJdOmiZFziDR5Zny8J2kXpnpKOJo5M+PuC/GyDAb5GgMNTZAsS1zETaTE3AHLQDPttYv/xLvwqwj2PYdQv/MygHMQZ5gPb66L9YECAYmiufQ5MuPuIfbtDeSnPJSwHCA5CH98ewOVOU/QWRMgz+/f/F3KyoG2pey55M300mLvoq3SD60VL/DwzhGkfrgjJmOWlVoZhQBTwNnuNvpierKDX9CKg5/5hTOaSa8D3QW7Pz/K+djxdsPBT7agPiLmfvn2ROPWl6ay3dl/2Bc+RtxAXaE3umsD5R77GduyNPOxWGHYF6jBZiXcl75F4YxtSrKlhaej2l/6QUnGI7SWvxDy5f9MmwIBtW1OCVALZ7qJ72+B70FHlZ/EYxjpO7lPHIIChQm+P+zfMa+vIS/5geTD/BiX00SM4//0DO7f/EP6Oe/TWhYVfg1vgi/jxJG/S390bvOqvKe4dPZH5CY+kD7K94/1o3bfzOmnqFuiydPiJu9A9B2cPfE9MuPvSx9mmYgF+3/iu1toKvHFq8CL8PY8Ke8FrQD5yQ8FH2r5Tx8cl/ebwlVe8kPcufYbiN+O9e+20JVvT9DBz7B4yta9BY+NLc13e2nqGqO9Y53/Yfyk7xp46K3tQGB50fDs51epuIZ1ReNfTD6F2bKd/cIZtQGa9m5f+1Wk/XD/C0KaaR/uCsG99L8gpm2/p6dFyyXped49grfBl/DE4zhCX5wXjYCDAgUFj1t/4GXARSS+v43y7Cd4fO8o/J6cxkv/i6Kd06xJc7nPo5Niqr999VcZ+DiY3br6C8IDLuBtyGUZsDhIcwAk2UaEXMbb4MvwuP0HHt8zNCYSrjP5F2c8knRZVg5sLB8JmgQe8OyMDGhvgi6BdaQwQasB6+H76KSUuyj9Ea5f/idOHfsO3o9OigAQuWL2fB14EZ53jiD65TXB58yJ72UwJ370cXjudQpR4VdFa3IetHf6f3HwK3tozI+aDn6p54HmBMAy4bR59nZ01HXSEM/+LqDkhWOFyurSVH57YusCLIVKaqS+j09KOyZH3UZDsa+0bZDPWREEb135VdqX/fri2R8R4H0WkaFXRIMtSvcUomY64X4XkB57D1cv/CxkTYsVrTlhL87jdeAlIW/2E2q+oS8uSB9i/86Kvy/5vfA6JWVgPzKc8WjlCkFR2iPpf5yOenD7DxEaKKSwX7Lvsw9eOf+zTBexbwd4n4GXxzFJi1ch/9wnDqGafYhC9fE//ibvEqe4SM6ccqJwTUGD/T3Q56z044KUh/Ie/P7LX+RdpVDN94uWBpaJ9ea7ynf7zPHvDeH5xXkpT/rHu1JevhMU5vkOMg/mR+F3R3wjVixX/CqpQ+Ongx+//cClqdzrxA0OKseDcxb8UViFwJbODZVo32j+rA19gXfRH3hDAB74QNSW+stWdz5b2ciHDn5iJt3i/OiXCIgmPA5aj+4eRXzETYeJnpo759Pzkh5goDEIVXlPcOrY31GY+hBe94+JIxA1nLQPd3Dn2q9CztR+SYAkUw7OnIunWZHp9NQGisZALSUr3gM3L/+C+iJvIU0OhCRmDqT8n2EoSDhrGDTXGlMBYTJYHz/yN7RXvsCVC87kf0FMk7eu/uow5SdE3sKFMz8gOfoOnj08gYYSwyxPUy0HaTNNWhIoKGTE3UdS1G0hFmqXtIhw/pUOWDSr0krh5XFc0jt59O/oqPLHeEe4WDM4mHJwp1b4Jby3/X57GKYrvVb37KeZlF84qwoHrNO7bybl0tTaCMNUy7LEH5Gvr01XPdkW4jdJkAJlbYG3tAn7L7X1y+d/EmsT+2FEyBUhP/+np0VjpbWJmjeJj1Yi9i1arR7cPiLa8Onj34sQ+cTjGN6FXZU+SKGOPiQkQWrwnOphXhQmKADz2lrhZ/Q1MZevTgcwLk/GoZbPuX0KjRRYSPasBy1OzJ/TTCePfSfWNKZP7Zxmf16d+wvJ/8yJ79BZHSDlbyl/LkIqp52YF+tECwj7OX0YaD27dvFnlGZ6iTZ/68ovoKDEfs/3iXhQICKp08xv4HYZIS/OSTk5lcbysAy0flBQeBVwQd5Z53Jt+X9artpCVz46ddzhH4K0y0BX3u46qa5DNORFftSnb24ew5aNWcf3DfmzYoVDo3Kug4M+3hYEVr5wxi+rZV53DJpcn23NvborXzjjXCgHRZq6qUFQ2qdZnFoGNVmSIQeJI7/9VTQeDpCcj+SA01jiIxpL+sd7MLVumvZJ/tSGmC5JnXOKFDRovmeaNy7/IoIBB0BaAChQULMncZvmTA5S5sDCQZQmWJaPAsYvP/9/Mt1A7clZ86dFgM8ZjxpLTqIHjv72V9GsqO13rXhQ8xkHtrYKY7qDeV+/9E+ZnqClgKRBUyoH1hNH/iZaFXGgYMNwNAufPv6dkD/z4kBKEzC1OnNwN8u+Y9f2MEzV+qx84eyoMWhyA5QSX2Cqf1c+dOJ4BUwHP1obxHJllIefXZ0r4dLUkG3bibKtwk8ENc5BF6V5Ct7sR7TE0HQdH3lLNH06YbLvsV+PrpAxzfbU8ikM0CpAouQ0wNmT/xDLFAVFkqap3TIc+9gLr9NCnJxOOnfqH3jy4Dju3fxdBAlz2sq0UvG9YD/ne0DzOvOgsGJaKtiX2ScSo25L2Wiup7WJAiiFUpr3z69F/nlPxYxPImZ8TlmwvLQyUODklBOn1lg/vq+c+qCQzXeVcYgPhXmznBQW+I7SwkVfHwrdFHwoHNHB72XABREUmBctW8Qr0PvMtpM/t+6ldZNWTmMHv6NAynmAVlAud3YzVZQCALfB3+hGePuG/GfsCzhbUoMr5fWO91r/2SkEuIOfHRjvAoqerZpJ+YWzzIuYrPfd0Xl+Z1Kilvsm+JKYDGlKpLZy9Pe/CtmRrDkPSUIvSH0omkJ13jMhfw4YkaGXZVCIeXVNzKVMi2FlsFgxw5oDHgdFmvRplqXp8n3YVTFBxkfelLlbloGDdqD3WSFfDlQcpEjCvE+zJacJfv/nX0DNx5X8aZLl4DXeafgK0Pz5+y//hqcPj4twYQ6crDutABzEOdBRaKCWxDljemHTEsF507LMx6BWSLMstSmWj45QGR/vi9ZFQYlpkfxJLBzgaU52xnYn/qemxA1ybFmXYHzhbMUxihugjDTt7kY+dCS0zwJcmsrlWCvztfxELz86JZ/o3UbLFbHmEjQKjewLcRE38DbkkghjnJohgdGCRB8N9gXOq5ttIFr1yX+IpeDBrT9EG2ffpKZNYYJCAMPQysM4JMXzp/6BZw+Og/2bZBn8/JyYvxmO/ZxliHp5VfoA+yv7GPsz++vThyeE4En+PNl/SPBMm8Ikw9BixKkGmtbpm/JV8j/5PXrrAqV/cw6fPgAUVllvCjnEhAIByZ+WDVrdmB7fU04l8P01seBcPsvNOBSEDYK/iiDfcyKMU1g2NX/Gp4BMjBjOTGOrVxL/VM0zp29PHDWWhVaEADOf9mwjn6+N+NLdhfyNz9R/LSyf7Rvy5zr/n/lJ34K1P+m7XkX1+TcgIA5+I0BZgGMDFMcOflVPtk1T2sgLSoLlC86BggMgSdYcCGkO5AtPkyKnA2jCNMmfWg61CRInTaHUwDgoOWv+JESSvqkRcTrg0b2joukwXebLAZ0DDS0EdDbiQMnBmxoYTZKcdyexc4BMib6DY7//TRy0XMmf6TI/DsLMj05UFGI4F8zBjNqSCBRtoSLg0IxKYYXCxVOPY0L+nNek5s+8uIfAuZP/EG2QZeVJsqBz4ImjfxfLAdNjuemPQP8HTnFsBPNNh+H8qPmFM/m06RGAV36id6Bi175w9v+z997NdSVZgp8+hP6UvoNi/1GEFIpVKKQdRUirWWk3dmdmd3ump7qnu2e6urssy7CKRe9AT4IkQIAgCEc4AiQAgg7ee++9994D5FH8zn35+IACyAdbeI+ZEZePuGlu5smTx2emG9OJ7OfEtawz6wXY7J9kigC/DsccvuPxbhAcgDfMGTxDSD1/6lNlTDBhAufMPIFTzIkn80dDBj/w4YOz5VnX1QoA8ydO5eg3v9MAPebYzCvaM5YemLrBV4QCLFPddaEq9NFWbWGg4jHm+R+++SddC/QHPAafNT4g2DGbY3ZHWIRhYzHCmkTwKWugIncLs79L82cdUh/BEwsBvn7qE6wHzt689LkK5DB/LGwIKaxhLFVsR2VdqButxdH8NzJ/BCbWCmuYMWOxY92whnDjYQ3Zk7lsD3csV9w94TryWQP88q+KzAwdrOXKjczv/w9a/9LaG2mfmZP+ee8OGvId5r+yIn8sqNBrfd8PBpu7Owi8da42rUsQ4fQ1kD/tMw3aYo8re133ZIFtIJybtQkxgFBCyHggokE3jsilc39RzQDTOMwbc2tNHsz/Szfzpz0iofG3QvAww0Jo0Jxh8mhLmCGJkKcN8iBSMFTMpRBT3mGOR6OhDASavcf4GCtzbqprAcIcfPMb1aphzpjyic5ez/yPKvOF4MEYIJL0wZjziWtAuGGsCBxYINjHzP9NdDPBXwRzEQENMcfn/8M3v1MNkXI8EET8zWhdEFgYEe9NYBfa22Zw3qt3Ey1hMscNZ4bxgzuYSdtfO37+gzSTYu7n0ikisl0aP5HanOC3X1tTYbzGR00wHgIfDBQLDXEkzIXBKywAnsyfuYIB/vaTv1M8JmYDZgbzh7GhqRMMB87TBtYltF2EOtw5CAXMP/hFPg8++7MnPlVrBAGj4M/3R34r/J867EjArZXi8v0TMQ8OmuBYBEniadDKWQuMCRM9QoAnzqjP/4tPdA0wRpg6OIglCncZbjHWBFYurG6UP/bd77U9+kFAL8IScQyMg10waPMbmT/jZQwEHuKKgD4QpItwz5j2Br+duyeWck68C/ADf7BcsTVVI/thtYcracDfwqJ8XlQloc2dXnXOZ5j/4tqaxHX0SHJnn1cDs4V2CAGCsbpyXTecOdta3qR/pada7cU+aE+i8aH/o21g/oMQYIqHWbM9CSJ07uSnbvM8pniIQfjd76Wp9K7bd4gAuXxLAAAgAElEQVTPlChjAuYweUOYIT6Yz9GcMasH3fhaTaYQFogdWhCmdkzpxAVgAqUPEGv86jBqCA1m0uy0i/qggSFMoLnRR4QELBR8B1NvYtQJZe4QWnyTtMf/GQvEHG2ePvKeMwFwV6CxIQSgPbGLAP8pYyTIC/999rMA1eAwz6JFAiP6BFNAO8IdgLbFgwBUmnXdDZcPwX1H+dxwpgegGP+o64az6kiRpemDDY7iNrXZYSe4UAVYZ0vf6qtvZabm5p4F+G2EEwIZ2zrBMXAB/IHpg2MEr2GaB49T408rs2OniWkDRmZ85UTAI0ggEFw++xeNDwE3CYwj0h/TOUInTBRGiDkc3EGwxdUAzvAtmCd4hQUJ833uswAnqv/qV45AcekLFWTBK4Rq+gneGyEbQQJ8RahGAGFMmOtZOwgaPDB7rFOnjv2zRN//QeLDf1JhMyHyuOI87ivWVkLET2oJYadOT22IXLv4mQpHWOQYLwGGrC9wHhgimIDPBL4CC8ohMIPPjCst4YzCB6EB4Za1DgwNPHf0a7amFnD3hGtrKsGhmaccmoglCdv6IUxmn/9/zSqRK/62z59LCxAAFlbXDiHo/aBLIDVSbX+564YzJyKaRbCUd+JAAvw2LtiR1oe6dY39v0Q1EyiEBo52QuAfGgqL3wlsuqd7fck3h33gw8S8CXFDkEAzgBAiCKAZsQ0LHyiMGzO8o1EFqd+UCGgIDiZPtHKIEe8IlkIL4h3tQCAJ9tO99snn1cIw2BymwUz45iFW/NI2+/kx0/I92sEkD8GijwgZEFjaoo9EiTM+TLD4kfmO2UdOXf6G4BEERr0nj06qxgUxrisMVKsCQWAwCpgCmuRG+O7V3/j5OQBl1fOK3vQjImWhzgl+aOEHlWD8CLDcF8C96hBvIvuffyVzZZdkL07w2wpuMEOC25hfmDDzCq5y3gQWAOaJX/CBOcaq49kW+Fqccc19IBS+b7akMtdYAcB58Cwl7rSuC9pGAGANODh8UeeePmi52NPqDoN5slUQ7RtNm/rUYY88uMLawJrEO3CO+rjPED7oK3gE40XYxYKG0EoAHw/4TPAqdbQf0SdUOwcP0eJxx9EXBB7iXOgDbgvWBXhN+8ANgd7B41NqsSPuhbXH+sD1R78NPIEh1gLahvGzdmjTE5bb/r+L8c+VXnrH+NH42Zra+sIRYA8Kh3fwHZh/39yC/DqnTG7Ut3nVgs9o/owGmetwyl1ewfpwFzL7oHMvvDOTpn6mgVuH/cz+bS90L1wOvtwmhBANCw0OywDMAwK6L2NyXdHr3HDmOgAFoslNeWMtBx8YtTzvHCD0gqN7nch+9mdzHvtE694FhO0LLH0AL2HGMF22qPLg6qrMW3/i337DBnzGUkFcAhY5hPHdflMF2OpbsobG7zr5Ud2eVQ8dN+gh5zwc7zu8sCQ/lNVJdEevV7zGZ5g/g+OIX6L+bdpjCBDgNzcsUnJX5LlzbjUEc+X1dxrxysLY7eKy9ffx6NFNmAaaIu4HrAMwfmMN2dt5cN1wlnfy3cln5oazX+IAFMyygzXOASyuuAPiDxbzTjqXTu1WO9wEznsLz4PFkZ30HTzCFI/VgQdr1N742r0fO9/nuGFjwdu1YMvW1JpAWXn9vdtSJFiuCm+57p44/NfIoxSvvXGuvfeWR/oM88fcH9zULg+8PL1oj9mj/zaHSZaje2tiNtxw9rXMVF23V/T6MMHHArBrc+h7xj/Zcl/mSy6sN5NmHBfpyBJZnjtA/yhbU9dEJrvWB/g9+0IJ+lRD0L75+XfCQG0d7xn9VrBCCHHwe5dttYfLVEOwLGcf09tJ1U2EAEtk/3jbwW5NPWAu4zPM37nSt8Je6buXCIKfHyLd9tLxbbn8o+aGMz0A5T3Ef6uFad/vkiAddpjryWcPZLbiqqy99Lzh7DvnFD0OQDlQPz+WqxGRsnsuARY//2ca2c9e7XGr8VvL3WZrSremhuoJfu4AP1xWnAnRW+SK7N9Lgru/bWEdJy6Ox5vkM8yfO4rZ5/9nu8/fm3n1ogza0qpzwxnRrMY/yg1neaf25IYzKwT4pxCgV5vW3JK1FzB+1wl++EkrIxwmfJD+UQRYAvy4VlX9/A7jR4BFOBm3LivL+Ddj/B0RSuPmiy+u35rKSZQd2a4T/Lwgo4ekCIwfHhnf2Sd5Q2Ne9cpnmD9+DE73O1vV6NXAbKEPQIALKQjI0gNQvlJfF35+zF+c0Ga1Jf9k3LsWyLjhrCFIuAmPi3EcM+lXIoU3nH31BI4eWHorsjjtbMPiPIE0zl93zqRYIMCvxQb47Xq+t2Ccvt4uVk21XL1ga6pLgOX459o45yIz3Eg+lIj253Cf3+SWSWBDu1c99xnmv/LmjdSMT+nj1chsoa0hAIGe6nVuOEPSdV3Ws5LxvUzV3bbakp8SvF0TbMykjfc0gO7dDWdfOQLkUM0BX9H7VmR1wbFcccOai4BjvtUAv+ZQK8BaPN7c6mFO8MvgBD9nK6hG9pcGicwc8N0TW1PpbeXYK323Ba6PtbDrBD8kXPxbEM20z/TyipnqG/u6D3rXzMcSs82J2UHABT9/a5hwm6Nb4wd3CPDrLjj4k888A/xcjJ8T/Lh7wlqurNVqS1rTHq47P4jsB1/UcoXLKv+yyAQn4/nmZnLd5z+/IP/or/v8P1Z2vWfjJghrZd65lcrtH3WuNp0rC3Ad3bvLwzIOghHZbxy4EICZdI4bztRM6tKWXnwr0vjEdUXvQR7ks+qc4Fd8xyPA7y8a2c+WLeuyssx/U+bvOpNiia2p5ghqXEVYjgaqDv7uiT0j7M7GmrmVVXndPyw1E1NetewzZn+uKRxcWNRTjLwamS20HgIERq0siPQUiWR4XtH7pWpzky37fOmLZdgHzrA3JYA7mAc0/hlXgJ+jLX0m8uwrkfL7ToDfgUb2rzlbU2tjRRA+Uj/TM9gJPsRyZXeoWMa/Fd5PNIc6W1NNrAqM/+UPIu0ZIkuH74re9QT8w38R9Le0tqYX/Hy4tA/d6kfA37HyejljA/68mdeflyHAjytVs8963HD2mSzl/CSTDUF7fsPZVgvQvvcx4szRvXW3ZSXzqOuiE6425QCUG64DUA7y0C1XZD/EGstV2ud66xp+/vmSizbAbweC3ceyHtVyVX5Zj3lWUz+uIgL82CVy0FtTf06d9+SNHvTz9q3gAvAm+Yzmb6/09WY6tyiDZoY/S284IyLaueiEE/ysf9THmPEBE/iJ5hBZyj3+LjAKPyk7RNgpojecbYFze/76rcjbNZHuQueKYHMmhesEP6wT1txvcXlTYYYAv5pbwsVODuPnqukvRSrCRObHD/ZMij1fF06DhvFj+uckXG+S7zB/rvTNt1f6ejOp68ogBXIASnW06+hex0z67oazg7uid9OFecDMzPbBSwbhvuHszLsT/GC4+Ee780VWlw+WaCJojDSJ5F3ysFx97liumu5Zxm/X0eZuNbM1NcNjayoCbMF1jxP81lFMn/wDk//I4pJaxhO8vPnWZ5j//Oqa3GlslxAv7yr2yRnc606bG84aktbdcOZpJsUcxqEt9rEw8MSByeZQmSsNEA7LcSKiueHsqEjr84O/4QzGPzMoUnJHdEuWS+tfffmNzFTf1F0Inn23/7e4bHAAl+ZS7ol3O1SIVck6KzLSIIIr1E8Spv7euQXxyyt937wVQQDw1qThJ3O682Gg8XN0b1e+Q7Rd26Ek5c96kA/n9uPLtY+Fwc9woDZQZiuvqX/U2c//mWM1qooQmR892O1QuKzUchXlBBm6GD/9mi86LzM1Ny0O23W8OQ7UBq7fmorG//onka6cAz6TYudk3Nuafs38AQKmDR6bvIAAN5wh3WaeFDHbWvD164E+X6gpF63OPhYGm+IAV5sagZEAv+LbjvbNkdAHmQjGakl3IvvNVasuPMaCtWnfLV5buLhwwL2lD6ERy1VDssgKl04d4NbUA1gvMP/hhUX5pqRGIlq7vfqiz5j93759Kwtra6r9ezWyj7aQ68x+Avzwj5qDLFwakzvgxf79LvjHwmJrWBAYlXdFZKxVRI/uPSDhG+K8tuSc4MdBQkYQsXO19VxZ2GwBG5flqjrKCfDz0YN83sfSWJXLa29UABhdXHpfUXeezzD/5TdvJKN/WLIGRtydt//ZBAIQzcUpkZpHIq+OOT7S59/YXwuDneFA5mnnbIiDZPygNRYGrujNv+JobHb+djZ/Fm4i3PtQHCgy2elc/bwJ2fwYX/kM859ZWZV/yXeu9MUKYNMWECDIj21YjU8dAQAhwD4WBjvCgRiR/krnVMgt0G3fXuuBVIUi9Yl27nY0d3bdu+leXYLIVI/LcrVvGOtzDfsM8yfY70+FlfLrnFLr938vmr11kJxjfPGX2sfCYDc4QOwI++sPOmHB4tsEre6m/7auhR849GbFOQP3oPH4gL6Hz5+tfsUj49I9N+/VV32G+a++eSPnqpt0K8Py2pofem28mi9byELAQsBCwELAQmAdBBbX1iRncFT+kF8h5WMT6/K2+sNnmD8DyBsak6TufsH/bw3/W02pfW8hYCFgIWAh8DFBALf47cZ2+YecUmmemvFq6D7F/FfevFHG79XIbCELAQsBCwELAQuBjwAC40vL8rcZhXK1rkUml1e8GrFPMX9GhMbPDX8Lq2uCMGCThYCFgIWAhYCFwMcMgfnVVYlu75G6iSmv+aLPMX8CGwbmF+VhW7d0zs5ZF8DHjPF27BYCFgIWAh8pBFCE1944t/hx+B2n325HIfY55r+09kaKhsflf0nJkh/K62RoYdHrKww/Uhyxw7YQsBCwELAQ8CMIsNsdCzi33WIF30nyOeaPhENkY3xnr/xNRpF8XVKjALABgDuZflvHQsBCwELAQsCXIAD/65mdl4et3fKbnLIdH3znc8yfSYLRE+CQPTgi1+taZWF1Vd9xvCFHG3K7EXsdBxcW9chDBAbqsEuAdz1z89I/vyBjS8vuAELcCVPLK+78nrkFNaOYuqtv38ro4rLWJY/vcNywSbMrqzK0sOTKn9e2qEsybfNdnuGFJaG8SUhuw65+O20v61kG1KYu5hzGRF36Tz95T2JM7O/smyd/QV0imH7INYKSGTNlJpffjZkmJpaWpX8emCzoNzhPgbo8WFnejXle4QXimUSEKS4Y+kX/6JfTK6dfBJ6YMdNH0zb1GTN1qccDPE1dJFraZo7MmIGXGTPjA9amrs6zK/6DMfMdLELU7ZtbkOmVlXXmMHCH9wZelDeJftEX02/gA4xNoi2nLjjkzIXJW1pbU7ykXerTDu8MPGmbPpNv8M/gCGMCfmbMAwuLil+MmfrAxBnTgn4fHGJ+SLQBvMyYaZ+/wVmTz5idfi0o7DzHDH4xP2bMzBvfM3UZs8kD1vxtEvgAjjjjmtd2GMvK6pqsrq3pPBt4Md/A03Me6ZcZM/BkTIyHrpt55tvgLuvVjJnerV+v87qmtK4LXs6YnTXHXHiO2VmvDo4AF8Zs5kI1Ko8xm/XqQERU+eCdmUtgZ+oyNr5jxsSY0c7MXNA2fTHrlXJmTLQBPGmbMdO+53oF5hNuHHHwgHGYftEOMDJzxf891ytlzVp3aMG7eQTHgaeDI/NKjxiHGRftUJc+MZ+M2cwjY/KkBYwZnDJjppyhb9QfdM2zwS/KmjHzffrB3JMYGzhjYE3bjMOkjeuVOTfrlbr0y7OuZzAc8KK8k++MmXeMmbqM2XOegKdZF/zSFv0B3sCGvjBW6poxMx7aB15mLky/3q3Xee2ngSffZ8xmHoENMDKpaWpGvimtlX/7Ml9OVzVKx8ycydrWr08yfzNCEEQZv4vIgTShzZ1ypLRGjpTWyonKBgU8SAhgAfbJygYF3A/l9RLZ1qMLk/ZoK3twVOsA2G9La6V+clo4X4ATBWdWViSoqUPrfltWK5drW7Rt05faiWmdCOryPOsddCMwDCC1d1D7RB7nFbRMz5qq0jU7L5dqm+W7MqcuVxeDSCAJiFw2NiF8k7r0ny2PBsFZCPdbOtUFQv6pqkYZX3KIEWNqm5ldN+bYjl438QYmT3oG5MeKem37aHmdgFggHw9E6m5Th7vftxra9J3peMHwmPxU4cDzu7I6Se8dchML+hXX0euuC7z65ubd+Z2z83K+uknH/H1ZnQQ1tbuJCWN/1T8szJEZU+nohJtIQpRu1rcJ9fjupdoWN0FgzHUT0wpj6jKmpz0DbsLPXEa0dcvRsjqFKYun0bU1BnizSG/Ut+p3qU9sybSL2JCPwEmb5B0rr5cMj+OmWbB3m9rddW82tClxAM58t3t2Xn4sr1fcYmzMBf0lsbifdg/IMddcANe6yWnNB71hIOANeMn3wRG+R6KN8tFJN/6B+7lDo0ps6DME7UFLl9al/tmq9fjXOTMnF2qatd/U5T5wQ6ggclmDI+vwr2z03T5i1tSthnadB2Byvb5VRhcWpaNvUEYnp6VtelZhTR5jAkfojxkz3zJj5heCB7x4YBhnqhq1X4w5rKVLiTV1wU/WwXHXemZcFWOTSpwZM0Q/vLXbjX8BG9ZrzcSUe11Q93FXv3suGPvzviF3XeDO9im+SYJhX6tvVfyjLrhNHQNr4PODC0egQZkDI254ojA8aO3SfOqynscQfN++1b5DyANccwF+g6vQNZPAZXAIePJbOTap3yWfclx5Th4PW79gWCbRr+Ou9Qo82TbNd0ms10cdvYoj1GVN0RfmgcRcAAdoFGsHWmhwl7Fz7PpPHrhbODzunmfo3436NsURZ702u+kI+AXNMfjHt5O7B9zMDpizTqhn4FU9PqV94h/wD5yjHrjLnDP3JOqWjE7oPJEPfr3sH3bXZf3AL4AzdRkzjJoxUxdB14wJWD9q71k3j+l9Q254sp7hAcAEuRl4XvSYR2gn7Zl+1U5MrVuv8B6UV4ND0E76zMMaaJ56xy8qxyeVBsR39un8GoHEPTAv/+PTzB9AOajpjBYCykEHEEYAD4NAMjOTCTNjEsi7Wtcqyd39bkRh0jgdCYJNPg8MGsCC/3MrqxLT3qvvA2qbJbSlU9s2cAaBAxuc71KXyTSLA2LH4gDByYOhekprSNIgIQIA+URtGmICkwepIAjk0X8WsWH+jBkkuFLXovmBDW0ysexYDug7DMdzzGk9g+4xA5fX/cNyra5V616pbZH2mVlFfJAfqdiMmW9HtnW7iS/jhtiy8Mhj4QB76pHoFwKQGTMCChK/ITYssruNHTpmiGdMe4+b0DB2BAvmiLYDG9ulZnzKPWYIKCYv6vFdCB7fIwFzCDUwpi5wgUEbrY/vM+/UZR6BTZuH5Dy2uKxtU5e+e+IIIysZGXfDGrgVDo/pd/kHLY1xmLmij8OLiwoTvgvTYEzk85vag4DowItoXZ0LFzwhluAf46EExIQxUZcxRbV1u7f0MM8QE4i96bcRlqgLrsDcqMuYWR8wfJMwIQa74MWYn/cOuYkcbbMuzJiAF3NhEsISQjTzwLdh0ANTM3I2OEKySqtUsAXW5CFUsS4M82dOIKAwUvLBpYF5h/iCm2NLS+4xMWYEBaO5gWesA9Y4delf/cS04pCBF2MmjwccgRaYxHo164K6L/qG3OsV/EN4ulBt1mu7tM/MuXEbhoMwpThU06zCN2MysGYuDO5CT8ARGCCJthO7+nUOmQvyYULgB0oKmuK9pk7tM+0/6e53C+vUfz0w7G6bbV0oKHyXhEUGpmHWXFRbj1tAJJ9+mfV6ua5FGaFZj6wfFBQzz9A3rKfMAwnrDngDjaJfjzp61sELHDFtM88IJWaeGXt4a5fiiLNeO9x0hDEDW4N/zBXrwKxX5jmtd1Dr0rdb9W3SOPluHzv4R9vUY9zMOWuFRF0EBYN/9C9/yHO9rijtNPnQYBi04Rcji4tu3GQ+U3oG3GNiHqF3rFO+zVxAd3S9wi9WVyXYYx6hnfTV9Av881yvJSMOTQfawA3aSbs8wB0YmcR6Zoz8MkYz/ybf21+fZv4bB8mkAXSYFoBmURniCYAgZCYPiZjFwjsSQPSsS30m2ACXttG+eM+DlG2Qm/poqzBdk09b1CWZfpk8CJiny4B2eGfy+Y6pyy/9QHAhn/7PeZjj6D99YXGafN7xZeqCIMCBPBgbSGPGTBmkZGBBPt/gW7znAXaeY0YDpj2TWKAGntRlzCbxDb5FuzwGXrRLYsyedfmOyQNewNP0i/6buaAu+Zg/+SYP7ZgxGXiZuSCffhoTJPUZM+8VJhtMo/SLvpp+UxY4mERbnnU9x0w5ypu6tAO8zLho27Mu8DTzTP9oy4yZMVHe5OuYPeYJfDH9ogz9MvPM94EfdUgQeL5l+kXdRZf2TT6w9Rwz8+ZZl7ZNXb7B3yYxPubOjGtyaVmm5ublm8t35Xl+qTI9k8eYaNuMiTF74h9jZ0z0mof8iSVnLsBvxmDGTD7wMjhE/wzu0jf6v3EugKdJrD9PeNEvB1pOXc8xm/Vq8hkz78y4+L8ZE7/0g7VGn+gfgp2BJ7/A2uSbMdMvpsu0TV3ap19mzJThb4Mj5HvSEcpB08xc8X/aM8lzTQFP2jKJ9QM8TV3GBLw8x+z5XcZgxsyYaNvMBb/AwIyZcgZe9Jl8MybGTFnyzbehb2a98n3m0cDatG36TR89aRRlDS2gLv3yrLvZejX59IF+UY+H/3vOE98xY+IXhdCMGdiY9UpdM2Yzj4YW0G/ydb168Av+NvDkl7kx8KBfwMgk0z/z905//Yr57xQItp6FgIXA3kAAQWN2fl6+Drgtz/NK9qZR24qFgIXAnkPAMv89B6lt0ELg44WAZf4f79zbkfsWBCzz9635sr21EDjUELDM/1BPj+2chYAbApb5u0Fh/2Mh8A4CMDGeg0y/xDf3enyMYWbundn/oGG41+Ox7VkI+CsELPP315n9SMa1uroqc/Pz8sYjsMkMnbz5LfJMmc1+l1dWtM2FhQVZWVk5ECGAPfGMY25uTr+5Wb984d0aAaZTM/LlhUBJyyncdF72ahzM+dLysiwuLgpzvZWg4SnDUQZYLy8v6+9WfaFtyvB44taaq+4yAaqutpaWlt77/a2+sfE932H+GYtNFgL7DQHL/Pcbwrb9fYXA4NCQJD9NlQXXHlrPj42Nj0tEzCOBiW8nlVVUSkZ2jhQUFktNXf2uiTFEfSvGRL/IGx0bk6SnKfIoIVHaOjreW347Yznosssrq9LS1St/OXtDHqW9lsXlZXfE+F73ZWlpWV5nZEpbW7sMDQ8LTHhjArae8Of/wDonL1+mp6c3Fnf/TVsVVVWSX1gk8x74Mzs3p3VbWtsUL2jj8dMU6ejskpUPMO2NfXF/zPUf8DQqOlomJt6do7CxjP3bQmCvIGCZ/15B0razIwigKUI0eSCOaNqeWhzEmr89NXDKoYHxrr2jU8IeRqrG5FmW/8MQrgfeEQi2lne1Q55JtEX7aHKU4e+c/AIl6OkvX0txabn725Tx7BttGE2QX9pdW3sjMCVTjl8ECAQRk3jHeKlDmpmZkYKiYv1uU3OLpD1/IROTkz4nADD+sckpiXz6Uo4E3JGA0Bhp7e5TDdtT+zZw2M0v84TGn5T8VGrr6qW0vFImJ6d0DlbYHseWwjdvZGFxUUorKt0CIO/rGholJz9fcUYtAGzL9cAJ5mdqelqy8/Ll+avXMjs7q/mUZR5TnqVLTW2dYCEaH59Q/KtvbHJr7fSNhIXBE5+Z59Lycu0TZXgM/vBNvnP9xi0ZGBhcV4+26B8CCeVNXc/2dwNLW/fjhIBl/h/nvP/io4aQTk5NycjoqFRUV0tzS6uMjIxKdW2dNDY3ax4mXZhgdU2t1Dc2yvT0jBJOtPzOrm6pqKqWvIJCuXMvVMtNTU1rfdqAEXR198il6zc1D6JN+YbGJll0aYgQUb5BW2j7be0dSmCzcnIl7nGSpDx7LoUlpUrU6af2ralZ24MYI1T09Q9ou+2dnVpubGxcqqprlMEwvpnZWbkXFq5jnJ2dUy2yp69PyiurpLevXwWFnt5euX0vVIZHRpSZYAEAHp4M6RefsC06AAxhQotLyzI6MSWvCsrk1J1wSc0qlFtRjyUo9ql09A3I7PyCCjxvXGdQbNGc16/5LniQ8DhJKhSWfTI9M6NMu7a+QQWC8YkJGRwalis3b8nA4KDbjJ9bUCjFpWVCPnNaWV0jk5OT2r+pqSlBq0cYi3+crDjA3I+NO2ULikvkUXyi1gGHR8fGJSg0TAU32kR4A2dh+ny7vKpKcReXTndPr5w6d1E6u7vVHTU/vyAdnZ2Ke+AAFolzFwKkqqZW67W0tSt+4rpCkGWdgGeME0GA9njX2//upD6vAWgLfvQQsMz/I0UBoz1woARMhgct/CAevjUyOibXb9+Vh9ExEhOfIEd++EluB4dIQtITZeaZ2TnSPzAo4VExEh0XL5GPYiU8Klp6+/qUYF+4ck0Skp2yFy5flZ7ePq1LmYfRjyQ6Nl5gAgHXbmge5n/exSY8Fhg049d+jIzKq4xMSXicLMdOnVVhJDMn5x3zLy5VBk/fklNS5f7DSHkYFaNaJwLD5Ru35ElqmuY1t7ZqW6npz8X0D+Hkk3/+o/x0+qxkZOdKYXGJ3LobrOb9MxcvSVtHp2RkZav2aObkZUaWJKWkurXXg5gTr7+xhnXDObcfE//84qJq+00dPRKamCYnb4dLSlaBTM/OSV1rp1x+ECsX7kVJQVWd9A+PqhCwxGEqnP3OQTC0txO8W1tTBpqQmCSlZeUSm5Cogh1aeciDh4oLRSWlcjf0vvztP3wi1wJvu10DmOmra2uluKxMnqY9k5t3giQmLkEFB+Yy6H6YxCU+lh9PntG5Rau/ePW6RD6KkwcR0XLy3AVl0GoJGBuXO8Ghmg/u0hZ9QPjMzS+QpKepcur8RSktr9Bv/d2vPxHmHYGDPiCc8s3U9BfS1d0tf/7yaxUmYhMfy9ETJ9UKUNfQIOcvXVFB5I+F4KoAACAASURBVPzlq+qSau/o0HdxiUnarmMV+Dkszdo2uHWwIawfKXH1kWFb5u8jE7WX3YTYalDbwqJMzszK4Oi49AwOS1f/kHT2DkjHPj/d/UPS2NIml6/fVCKJxgMRfpWZpRo/RDsqNk5NrphdZ2ZmldAHBt2T5JQ0ZaxoT2hTLW1tcic4RDV0CPbo6JhqXlduBmr9i1euq7CQmPxUNW3MwIzfJIgjRBzNCgtCa1u79sNo/rn5hUq46Q8aHRokBB5T/qVrN5QJQHhpQ90XKytqYkb7D77/QNAk74bc1z7wjRu376owgiUCTfFBRJTcu/9ACbvpE+O/euuODI2OC7Da7/nwpv32nn715Te2d0lFQ4tkl1bJk4w8CXv8TK6Gx8nZoAgJS0qXysYWmeV89LU1gckPjIxLanahXHkQp26Au7FPJC49U14WlElRdb0KCM2dPdLW3betcYKnXX0DEhMbL0UlJRL64KEKVlhZcAVhlWFO0Nph3MCePmH1CQ4L1znA1I4/H20dgQ5N+vylq+q/Z67BR5gyDJz5B99oB8sMzJv20fz5Jn+jkWNZOnvxkpZljWH9wYoQGh6hOIDgAA6hrT+IjNbyJsgTgeFCwGXp6elVK9D98AiprKrWbxeVlqpbgO/cvBss4PPz1xkqRDOGkfFJN64Am86+QekeGJK+oRHNYwfGwuKS4iiCgE0WApb5fyQ4AKGDAEAM6lo7JLO4UgOy7j56osT70v1HSpwvhkTLfj9XwmIlNuWFaj2YNGHuL15nCNo+plA0aggj2j5mVhg0BOtpWrrA1E+cPS9zrkuC0JZg2s9evFQmiwkYxks5NPWAqzekq6tbIKS0j3kVAYD2aJdv9/X3q9n22KkzUlNfLy8zMt2af2Z2rrx8nSlo8/QVXzD/x1pxNuCyuhYMChGwNTQ8IvUNjRIVGy837wapqwJNtLGpWYk+xJ8gMsz+Wbl5EhR6XwUCtH+T6P/xsxckPbdYgNV+z4c37V8IiZYLIVGqxfNLnYDQaAmOeyrPcoulob1LRienlMEY5gKPWV1dUytA3/CoFNc0SOyzDHUHuPEtNEYuhu4M54LjnkhE9CMpKi5RQQvGmJCULI+fpEhXT4/gZhmfmJSrtwLVxI+lAaaOmR4GjAUIZp345KnOFZaisxcvy/DwiOIhPn+YP9anjOxsFR5g5mj2nsw/9EGE1Dc1qTCAAHHs5BkVOghGxdUU9ShOBUZcDOcuXdE+dHR1qTsC1wNCCQlcvHzlmgwNDanQwNgQHBB6+SZ48TorW11E4A/4h4ugp29ArS2XPXElNFoC7scI725EJkhIQqoKa0VV9dLa1asumoUl50Ihg3f29+OCgGX+fj7fEGL8sb1DI/K6sExuRyfJpfsxcisyUcKT0yXueZZqZq8KyySjuEKySipVq0Oz268nv6JWCsurHOa/sKB+8ZebMP/wyGjVjhkDD1YAtDj8pvh7eWeYf+qzdNXEESJg3jDskrJytS6gfaMNRsclyK2gYOnu6XGC/FZWNKAPzQ1h45sfj2sg18uMDDfzh9imv3ilwgkaFj583t1/GCGOu6HXjUHEGFy7dVsiY2LV3IyWTzR4yINwZf64MY4ePynJqWnaRzRLmENI+EMVXkxDBKidv3JN0LKB1X7Nw07bhYHUt3ZKz8CwTBCHwTW9H9jRgHuJYLu5eUdLxcpEGyU1jVJQWSd55TXbHmdJTb3C2jB/fOQDg0OqFcMwgS1WJcP8Ec4QLMER8AGhjGBRfq8F3tHYEvBreGTUg/k/V6sAuwNg0h9i/giXuAtg9LiIwKugkPsaeAqjhvkjkBBfgskfho8QSgK3HOY/7DD/mFjJKyxSnGItgNNpz18qXhPfUlBUIqHhDyUkPELK6holt6zaDcPMkkp5XVQuL/JLJTkjT6JTX0lIfIoK+gRi8nd5fbPOH9cvs5Zs+rggYJm/H883CxqCVdPcJpfDHqlpFmKAORBzP8FuaGYQbgiQ+v/RiPf5oV8QaYifYag/Z/4x6heH+DEG+gfzhlEfP3NOzbq8g/nfvReqflB8rkSA855vwGxxLUBUeQehTUt/oWWxHKDJQzzRotDAiD9obG4RT+aPdp6Vk6emXsy+lMMEjIBx8uwFNREbFHqdmaXMhGCvppZWCYuIUuZPn9H8CegLuHpdNU7TR/qZ/uqVRMXFm2Z0Kxn+Zaw15O/3fGy3ffr07nF32+v/vKvr2c42x/nmjTJoAv4M82e7HW3jhsF1gi+9f2BArUDMG1o/c0KgJYLhqXMXZHFxSa03+PwRHvDPDw4Pu5k/Oy+Y7/SXrzRGAdM8FqitNH/68P2x4243FkyaYFVcPw7zv6w4hNsK4ZCgQCwSpI3MHyGSWAFcBsQdgDMaMOmCP38zvgdR0Yq3rOd1c+la18RV4JKaW1hUjR+h8mHyczkZ+EDdNuNT0+4+eD2JtqDPQ8Ayf5+fwq0HgI8P6f5ccKTEP89aF3AFQzVEeOsW9i+HyH624WGCx+f5OjNbmR5/Q1hjE5M04hmiDOFraGpWrR9tDnMoxBjtiW15+Pzx/RPUhx+d6P3m1jbN5xswXbRyIugx4RaVlmlEN+Z5IroRPGDOEOOGpiY18T5JTVUNsbC4VN/hWiAKHGKMXxhf8oPIKDUxQ8iJwn6VkaWmXP5GaMDnz/YuxvD0WbpqgwQc0nfaItIb4s236ScuBXzVMBcEEubIps0hgKKKoJf8JEWj/dGwEdyYe7R6dmqgJaPF4/rBfA6csQgAY+B/+nyAEKQJPqCld/f2yq2ge5JfWKzCG24nmH92Xp5aDxAOYOBYfWrr6zWif2JiUgVShEHaxP2k7qqiYrVAsHMFC4+JJwkMCtH5p6/ErxBPQH/pN+6GG7cCFbeIH2BXATtdsHghAIDvxKRwDgTCM3XAE8YEHr0PX1jrCAsIAVgCp2bmpLqpTQKjHktoQpq6Aylj08cDAcv8/XSuWcgEAV0Lj5PY9EwZGBnTyOrDMlwIMMFMaMloLETrE8nP3xBsiCMmVogbmhd+XIQANDiYOUQTppqRlaNlYJzU4R0WgvyiYnF8rlUyPj6ugkXUo1j172IK5lsw7Nb2dtXSOFwHwg1Tx2/b1NKiRBnNjH4Q+AfjJtCqrr5BNSU0SJgDdSH+EGZMyggUtIXpFy2U7yCU8C36RBm0uqepz3QnAd+kHQQLhJQnac80dgAtzqatIYBlpKOjU/r6+nVrH8F4wDkmPlHnhHnEwoOWj7kfwRG4Mydo5GzjZE5xw+BPZ56ZWyxIvMe9w9zRLmZ/4jzYhVFaUaF4ArMlRoW6MPyImFjFA+aQ2A8OimKHCbgBLhDkia+frYbgH5apx0+eKn4TX8CZAcSsIAwj2CCsEsAKDmJ9iolL1H4Rp4DrijVgBA2CD7fDvCk7v7CorqUzdyPURUCApk0fDwQs8/fTucaU2NDWJd9evqtSPaa/w5QgPmgiJFgcfxvi5ZkHUUNQQBOC2JOohwkeMyl+XP6mDvmY8jHNYs6FOJOnRHphQU3wlOdvyht3hxN0OKNCCOVhuiaPcqZttHi+69kPiDRMA/cF0d0IMvxNTAIuFVOf9nj4mz7QFv2nL5SDGbAFDSuE1fp1mr36B3jqnLnmmfmAsTMfzJPJB85YemCy5mheE41PWTRiylIO5sv8MJcGDxBKtd35eRVQKUviV/Omp9VyY2JReI8Vy+CoJy7QL4OXlCEuhD7wbdYpdXkoY35ZB+AVBwEhvNAGa0L/Xl72ClabFYLhJ73OldCEVMH8b9PHAwHL/P10rjH5E7x3OeyRnrXuqzqkIX6GEJrpMgSfX5NMWYgo/+cxiXKGkHu+J9+0tfG9qcsveZuV4z3fI4//b/zbsw3zf9OOU8dpG0aERYModBgY7di0PQi8D/7kIbhhIQLupK3mysyP5xxsVdbdjgofTuyM6TX++a3aMvXWC5r0ydRe/7vx+/y9Wdvra334L4QSNf9HJ2kAp+eYP1zblvBlCFjm78uz956+c6Iap6zdjknS4L73FLVZhwAChrgbQeIQdMnvuqAw9hAW/W6AOxgQFkLOWbgRkaBnLVjmvwMg+mgVy/x9dOI+1G329D/NLBD28RPcY5OFgIWAhcBGCCBstnT3yvWIeN3/b5n/Rgj579+W+fvB3LJgNy5aN/OPtczfD6bYDsFCYE8gsJFWwPxbt2D+G8vuSQdsI4cGApb5H5qp2HlHWKTcnsbZ6WzjwY+4kfnjHySAiRP+2OfPuew2WQhYCHw8EIBOcBdDfVunTM3MapAjZn9O/PPU/HlHPu4ArIbELtjkfxCwzN9P5rS2pUNvUOPMdLb1DY6My+NXuerz179HxyWntEpuRiZKVVOrRpj7ydDtMCwELAS8gAAsHOYfk/ZaIp++0BMWRycm9ffKg1j9nZye1TscOIY5LDFNDwZCaLDJ/yBgmb+fzCn3qAfFPpFPT1+Vi6ExkpZTpKd3Ee3/PL9Erj+Ml8/P35Tz9yJV87cL2k8m3g7DQmAbEMAyyDHA310Jkm+vBEnE0xfyPK9Eztx9qEcBx6dnyXdXgjWPI7/t3v9tANfHilrm72MTtlV3OZ+bM9L/cvaG/P6nAPnjyavypzPX5V9OXpF/OXFFfncsQD49dU0P85hbWNiqGfveQsBCwI8hgPuPo7253+MPP11SWvFnF534y9nr+g5agdLArZJsj7XJPyFgmb+fzCuaPD5/zHe/+ylAPjl6Xn7zw3n5hOfoefn9T5f0LO/RiSl7jrefzLkdhoXAdiGABR+GzhkgX1y4JZ8cPefQiqMOnfjk+3Pyp9PX9LIvLmKyFsLtQth3ylvm7ztz9cGe4s9D+//01FWH8evCZnGfky/O35LXheV6Ct0HG7IFLAQsBPwaAsNjExIYneSiE+flH11CAIrC2aAIdQ36NQDs4MQyfz9CAqR0ovzP34tSc54j1TuSPRaBobEJ9+lmfjRsOxQLAQuBbUKAk/24Thn3oFoIj56T3xw9L7/98YJer0xsgE3+DQHL/P1sfgnQQfs/EnDHZdI7p5aAZzlFur3PmvH8bMLtcCwEdgABx004JtfC492Kwu+PB8j54EjdLURsgE3+DQHL/P1sfvHn4dfnuM7fHbuoUv2JwDA9t9vPhmqHYyFgIbALCMwvLkl+Ra36+NH+/3LmurwsKNXtfbto1lb1EQhY5u8xUexmNY/Ha/d/Td5Wu15NvrvChv+8L9+bPG++S0APUntGUYV8ds6J/Ce4Z25hcUNvnD/Nd71pe7MGTP335e2kbdPuVnU3+559dzAQ8JybrebHs8zGXr0vz5Q1Zczfnr/vy6Pc+/Lfl+dtXdrYLJm2P5S/WV3emfqb5b8vb6d1TeT/uXtRuivo+K0wVRw45Mck8939HNNO2j6s/fJ2LrYas4H7Qfxa5u+CMmYwtGbzcEqe5wRxypXJ49fTfE45z3wW1bp81w1cpv76vI111x/Vu1m/DGKQ55nv+V38+wT0nLodLoOj43qoD/meibq8M/1izJ5pXd4HxqTw8qjv2a+fwUu/+w6ewI7yJr2vXwprc6PZJscamzbs795CgDnZOC/MKziy8QS47awFZ+7f9XXjN/S777LX46sXOOlRdcu1QpmN391srZh1ouNeh6/r1/Dm+O6xzjbgOzDwXGv0xSTFdw/aQ7l1+RvXsMdpfDTDujT93qwubsK88ho5Hhim+/z1SmHXx/nOVnUp4tlnp23T603guZGevqdtZy48v/1z+mD6tSmsP9i251ysp4nvg9fmY/aYqw1zwTg858qz7Y39fge5g/vfR8X8mYj5hUXdv9rS2SsV9S0yPTunjHFkfFIyiyrkZX6pZBVX6tGWXLNK4q7v+tZOySyu0AXC4Rez8/MuguEE2RVV1WtdIurL65v1O2YaO3sHJLukSvMxq3HErkGKxeVlqW1pd/LyS4V2CNozib22OWXVwsl9PJzkZxL3krd09Tp5+aWSV14rw2OTumAJ2KlsbNWtfylZBVqGWAAj1TMm+pHl6hdjbu/pd+8G4MxvxsF4XhWU6dYg0y8WOnd/F7rGTL+qm9tkYWnJdE2aOrr1TAHgCdx6BofdeVghyuqa3WMur2teZ5lAWMFyQbv8NrR1uesyrrrWDu0Ph5XUNLe7jiB9t4gNbN2V7H+2BQHg5wlDbohsaO+S/MpanUvFxfxSnb/M4kqdH5gGCWbC3DPnzH12aZVqkyafNcU78jKKyoW5Z5cKiTLgZE5ptYMbBaWKN5xhYfIrGlp0DdIHTNZjk+/uoOegq9zyGq37Ir9UGtu7dO1q3TdvpKN3QF7klbj6Va1bY7VhEaUDRdUNiuvULa6u16OygQOEGlcaa5c8LGmch2/6xZjBQ3CVfMbFWoHYs1b4P7hq8liXZsyUYd2ZdUj/hsbGFf58mzVV1djqjDm/VAor67Svpt+c3qn0Id/pG7A3c8cR3q1dfQ4s80slv7xW163J5whfaEJceqZG+HMLqMmDPvQOjqybx67+QTc8abuivlnHylwAExMkCLyYi4KKWv02NAS6ZfLpO2vac42z5k2CPoAX4AgPtIJ3JkFLDH69LipXfDN5wAtaZHAUGgWtYh5IzAV9haYZWg2tI4GbOhfFlfpd5gR8BBYkaCfwou6rwnL9P2uDxJihvdBg7XdBmdJmaLRJwED7VVCmp60ydybxbfo2N7+g3zPzYPL349evmT8AZGINIEEAJoBTrW5GJcrVB3HqC2dyO/sG9Qa8W1GPJTjuqRIWFjUJRAdRg2KfCvlo1ByUQbu0CWGITn0lgVGP5U5MsiS+zBGDFNSHYN2LT9H8wOjHSkhNn0BWTtiiLk/k05cyNfvuFj6Q8X5imlCP71LWJM7qR2rXvKjH8iApXbr7h5SI0v7o5JRTN+qx3I5O0iM9ifIlsYe3rqXD3S/GXFzT4D7RC0RPfp0ndx4la93QhFQZn5rRuowZxI1KeekeE4TDEDQKQcCpS9+AG98yaWZuQRJeZLvHvBFebd19elqhU/eJLnRTd2FxSdJzi7VPnFoIXLmrQDWWt291rjjvAKGO+YO42vRhCKB9ghMQIPB5evadAMrf4CVHQ9+KSnTjG/gK3iDYGgIKgYe5M+fkh8SnKk4aoZN85ox1dPdRsuIY3yRRBuYVkpCq+ZRBMGZ9MoswW3DSrEHwvW9o1D04cDKUtRL1WPsJkTd3WIAfZXVNrjHQrxQlzqYyQgRrmCuwaZ8jcCHErCPqsq6cdp0xF1c3uJkCY4Kxc8ImdaEBtGc0euDH+iGPWza5bdPQB8ogZN+Lc2gLMG7v7Ve85dv0AeFdxxz1WMKTn8uEax3Sd4R/2jZ9yy6tdtM78B9mZeoCLyyChvag8DBO8okRCk9Kd+eBC9BKxmTmEaHFwJO2n2bk6xyyTplTYghIwAsGHfHkhdYFHqxZ1q5JMG9tW+nDE71O2OQBG2gC3+WBVkAzTIKWKH5FP1YaA60xCRoELaJP1IVGgReG+UPDgBf0EPoEPhncZEzQQHCauoyJbwELErSTY5G1bkyyRKe+dt+YanAEGGu/ox8rbYZGm6R0PjpJ+wZNh86ZBL1KepWr5yvUtXYq/TJ9NmX2+tcvmT/0HkkMrZpFaCQ3JojFwiRUNrTqggZhATKEBSLEJMzMzzsX5LikRRYoiGvyIYwGYQxxQDKl7vTcvErrhhgyYSAACK35s3Nu7Zo8+okAYPLoj+kv+SCeZ90Fjy049BuENXXpA4vTLG76qHVd4yLf5Blib9pmzLRlEI5yLCQzZn49x0wf3WOenVN4AV+TIIiedY0VhXzaAZ6m34zZtE0+Y/Csu+hhUdB5XVrWuiMTkwIB41tGy4K4XQiJloSX2arpkWfGbPpmf38OAXAUoSktu1BuRT6Woup6N9zACwRJtLnJ6RkVTs3cgTfgr4GxmR8zf+AXc2vywS83zs3Nq4XM4A1l+JbJ5xvgjRHgyPfEG/DPc62ANxtx0rPuurUyv6DfMpCAsGMVZP3yXf7vWZfvsO7Jo38G56jPmMFh95jnFpQBQofoM+ODiVOXMozBPWYRbWv9mN+tYeDlOWaHPrzzyQMfz7r0yySHPjhrhW8DG8O8KcOYtV8eY3bXfftOGDRjduiDI0zTNjAyY+YXOJAYM/TUzAV59MvkU4Y17Vl3Xb/W1hSefJeH8a+nD46WTJ5p2/QbuPItU9fgCH0i0Y7nd6FxJs+B14rSf+oDV+gvtJJEOTMm8IR80y/yNuKfA693NBHabfpl2taGRYRzF+JfZMm54Ag5duO+Hs/uCRNTbi9//Y75M00wfW6kiknLUOnSmJScCVpR5IDYmYmlDnkgjj4uP6Yz5Q64QQyQ15ShvEn8X/Nd9fm/Zz5EZKd1tV8e3zWIyLfpgbbt0W/P726s67n4tL5nvxjzRr+cx3epu7Ht9WNebyqmnwZW/L6/7s/zPevyHZNox2l7TYkXi8+TSLOwYVzhyemq0VQ3ta1jEKYd+7seAj0Dw6qRoPVwAZRZM5RSPFpbU0IHvBFs3fPj8vub1lgWOj8GdzbgDeU818J21gp11+Pcz/Fmff67Nap1N67xD6xhMyZ+HRispw8mX9ch491izHzGnbfmxEl4rod18Nq4VrwY8/q2tx7zRljrmEyfXf0yY3KP2eS76INnvies6YPnmH7e9kb68I6W7p4+vBsz3/WkPdsZs87jBproOSbG7gnrD475Z/TUgyZugBfran5hSZUZNP/eoRG3IoYghZCncPKcgF3+3++YP4wA0yGmrMthsWq+R8qyyf8hwOJlgSDNYxHgmmMsAYa4GCK7cUH7P2R+PkIIl9FayJ2enZP6ti4ZHp9QzQiCY5OFgIXAwUHAEZwday5WGUOnsLY9yy1SvoblgbW7F8n/mP8bmH+P+uAI8PE0Ve0FwGwbvgEBtwaAhO0y92G2xrSNFG0Wlm+MZm97iQlbhaOuvnUmTUdI2ttv2dYsBCwEdgcBaFZkyku9jImAz71SZv2C+Suh94hQRqNBclKTz+7gbmv7CQSQmB+lZcjVB7EawQt+fIyJNYFJP+zxMwkIjVFC8jELQh8jDtgx+xYE0PSJuSEeh3sX2O30ztGx87H4PPMnKKKlq0eIvjVR8h6uvJ1Dxtb0KwjA7GF6RPoSZU5MyMfG9BCKgQFR1ndjn+g2sL0yIfoVstjBWAgcIgjA6LHWzc4tSGtXr9X8mRsYv3OYjbOlY3J69hBNme3KYYIACwgXEHuV2Y7DPu6PkfmzZY1tUo0d3QqPvdAgDtM8275YCPgrBFiruOaIa8OCBz1DKOD/O0k+rflPTM/oARXcYocm97Gacncy8R9rHRg+OwLYPvSxJcZOpL7Z/vSxjd+O10LAXyBA3FJTZ480tne7z1fY7th8mvmzhz8lq1APzYGYf2ya3HYn25Z3IICkrNsaXczQbBX0R/joNjOP7WWsETN2fxyvHZOFwMcAAc7W4DCti6HReqLhTmiYTzN/c8AFvzs1fRxGRFlV/86czMzMyOwcB+jsr2CDNoj56GNLWIrq2zqla2Bo3eEn/gQH5pVTIjmpDI3fpoOFAGtrYWFBZmZn9eH/+02rEPB2QxOdcxzenZ9xsBCzX/MGAtAuji2+EZmopxhyVPN2lV+fY/4MkMAlApW2O1hvgHoYyoxPTEjS01R5/OSppD1/IeWVVTI2Pi4rrrsG9rqPc/PzUlld47fw3Ape+MwePcuQqJRX686I36q8r71nfRAk9DD5uRIIjqS26WAhMD8/L1k5eZL0NEWepD6T3IJCGRkd3be1zOhg3g1NzTI/z0mDa7K05Jxi6u3IFxcXpb2jU+v5K431FhaHuRzaPnfOxD7LkMGR8W0LlT7H/JF4uPhCj0f0U221uaVVTp2/ICVl5VJQXCK37gbL6QsBMjg0vC8MenRsXBKfPN028hzmheFN38AlDoS6HPZITWj+RujQ+jnr4silO3p+vOehPt7Ax5bZPQSGR0bk5LkLUlxapus5JOyhnLt0RYZH3t1JsPuvrG8BJeF1RoagRIyOjUlpeYUeMb6+1NZ/TU1PS0FxsVoq/G1NbD1q38zBwsNptdCy7Qbv+hzzJ6L/weNnegGCvwZttbS1yeXrNwTCgdkfTeF+RKRkZOfogkQyR0AoLCmR1rZ2ldC5PWp6ekb6BwZ1sWMt6B8YkNb2dskvLJK29g5ZWFwUtPzG5mYpKCqWmrp6fTc9MyODw45gMTExqW1U1dRIflGx/h83hD8mJGeEyMSXOar9oyX5U+KMcy5+YncDZ4dbQn7wszs8PCKnz1/UdcRa5u9T5y5KQ1OTsI47OruksLhE/2Yd4hLAytfZ3S1FJaW6lmHi4CbrsLevT99X19YpLVheXtZfLHcoCuSj6Q8MDGo7MP4bd4K0PawQ5EFf+GZTc4vSF9qdmpqWgcFBqaiqkqHhYZmYnNT+4aagj7RdW9+gLgzaQKhAOYHOoDzY9MtAABrGyaU7Wds+xfzZ5tDVPyRHr93T6H7Mtv6YYNjXbgUKxIAEkUBzuB0cIh1dXZKZkyt37oXKi9cZahXIzS+Q8fFxeZKaJoFB9yT95Su5cfuuXL5+U82N6S9eSfD9B9Le2akCQUZWjqSmP5ezAZeltr5e27xw5ZoSnnv3w7SNZy9eSlxikjyIjFZC4I9wZkwsGva+czsci8ifEpo/wjLXQqMd2HTwEECAh/mPjzvCF1r1+UtXpayiUpkqa/pVZpauz8zsHBXGWbt3Q+7L81evJTT8oSSnpimDxZR//fZdXd8R0Y8kKjZe+voHJDM7V8IeRup7BH3iC8IeRujaDrh2Q379u3+WW3eDpKWtXYUMvvnydYY8iIzSutAZ1vqVm4Hqmujo7FRLIH2vqKqW+w8j5GVGptKFyqpq6e7pkZt3gyU5JU3SX75WIeDgIWu/6AkBrHr4/Ze24Rr2KeaPiYM7vNnaR7CDv6aNzB/JvKu7W5l1Vm6enL14Wfr6+2Vyakrfn7t0WZpby9FrgQAAIABJREFUW+VRQqLk5BcIBIZyR4+f0v+jzScmP1FNfm6OG8sWVLp/mvZMiQ6CxWdHvlPT0anzF+V1VrYKHj29vRLyIFz9fzuRLP11fuy4LAS8hYDR/HHZzc3NqwXuxJnzqmHHJjxWBo8WXVZeIZ99/a2MT0zKjydPa/7s7Jy0dXTI3ZBQQdPH/VdRVaPCONbAi1euqQJw6fpNaWxqlomJCVUUsACePHte6hsbpbyqWq7cCFQhAQ0eFwRloR38st4Hh4ZUmcjOzVPBASvhvbBwVRYCrl1XSwN9RBD48cRpjUO6eSdILQszM7P6TW/hYcvtPQSgzWxf5kpqrqb3NvLfp5g/0g13Mze0d+kBB3sPxsPR4mbMv7evX/3+SNssPKR1TIFjY+NyLuCy1NU3aIBgWWWlmvYw97GwCYzEB4imn5NXoAuVXQRI70/T0iXg6nV1C3zuYv74IzEJAmtMf2j+CBYfA/NnjP4yTqwYOzUHHo5V4B+9gOl//f2PuhZ/On1OTl+4pFa8ppYWwdrGOu3p6VXz+adffq0M9/jZ82qSxwWAqw6tHisAcT+9/f267nHfRUTH6JrH2pf67Lm6B7HwIDScOnteXYJYC24HhSizxzVA2+wegnbA9M8GXNLgwJAHD9UNyPvOrm5l/k0trfLFN99rf3EntLS2yR8//1K/+dPps1Lf2CRT0zPqjvCP2fLNUUCzuJiLo39zyqq91v59ivkj0RDYwJW9+71d5pdEg43MH+bNu4tXr6tp//a9EPXV0Ue0+guXrqpmQERxRXW1MnvMimcuXtJhsKDZNfA6M0v9djHxCXL11m1hAQdcvSF5BUWizH9tTc5fvqqLHYTCghAeFa3xBf7CFLeaV24C5PpfFpE/4NbE1Ixu75uamfNaE9gKNvb9ziGA/xxNn9icvIJC1bwHhoYExvrtjz/JlRu3JDg0TAX6S9duCEI+QjuMlgQuRsQ8UvfdybMXlGHzHqEAU33a85fqtsMqgBCAhYCYATT/9o4O/c6de/cFDb24rExwA0BDSVgP+D5+e5h/XUOjCr9d3T3K/BEccBngHgwJC1crIa4BYobyCouUhkTHxjuWQW3R/vNLQYBtvBFPXujuJWiYN8m3mL9qMzs7ytAbYByWMhAK4/OH6RKok52Xr1o4DJyFjnRPHsFA5wKuSG1dvRKI9zF/YgEQHJJTUgXNIzs3XzV/y/xFRiem5Gp4nNS2tOse6cOCCzvpB3hR09Iu9+JS1t0LvpO2bJ3dQcDT54/pPDQ8Qk31MFAEbQJrKTM2PiGTk1MakIuGD/NnHtHk8c0T33Pi7AUNHOQ9gXj4/LNyctWah4WBgGDM9ZjtT5w+9475B4eqpbC8EoUgwH2rJd89f/maKgTEFmxk/tCIz458qy4IYhagNVgcETx4EBKiHsUpPfIHgXl3M/3L1ib+rbCqThJeZIu3W3p9hvkrwi8uyfzCot+YZrdCF2X+NwNV80brxzxnTIRE6J+/fEXzWHAjo2Ny5kKA+u8czb9mS83/2fMXKsXTBkGEmAGv3LxlNX8R4brfm5GJkp5bvGcXZ2w1v/v9nrXyPK9EQuJT9OpeS5j3G+Jbt+/J/IndQev/8dQZ1baxquFiYy0yZ1joMMnDoHG1Oet7VAPusOQh5GOSpxxmfwL3iLinLg+0IP5xsrZ9/NQZh/k3t6hFACseUf5Hjh7TXUG00dPbJ7giiPJHwKj30PyxBLDX/8TZ81JVU+umufTJfI9RQ0uwDBBcynubfhkIYBXn1D92+DAX3iSfYf74oJ/nl0jS6zy/MMu+b3KQ3I8eP6kLMio2TiJiYiXlWbpqBkjf0XHxgun+dWa2Sv8cHjIwOCTPXrzSaF6ITF1Dg1wLvKOfYcESxIfZEVMhkcIcPBL5KE4Cg4JVCDh26owSFeIJMB2ykGdnZ7U8Er6/L2xuhOSwn9j0DJmenX/f9Bz6POYKDSAm9bUe8uPvc3eYJwSNmTUF82UeYNqsXczmCN+s0RevMoQdOGj35H937Lia4QnejYyJ1Wj/oeERDeLFckDkPdY7tHx2/6D9o/XHP05SF0FfX79cu3FLCNjFV3/t1m09NIwAP9x/RO9n5uTo2uYgMWJ7YhOTNLiQPkJLoDt9AwPaNt+hb/SRPiEUQE/YdRQUGiYx8Yl+Tx8OM46ZvkHnjXBm3r3v12eYv5q/ktIlJCHV7xENpss+foQAFjfbeYjghamznx8BAAbNFiHMh0TuQjQwyfGAABAbzIwkFjTbf/A/YkWoqKwSthXxDTQTfH/kUY46mB/5v24Vm5rStt6HRP6QRxwJp2XVNLf7/KU/KGCt3X3S1tMvKzs4/MMf5vOwjGFxcUl35pitlqxh1hrrmTXKfn+YKtt18fdjzv/hxClhqy0MnZ047KOnPmsYmoDQX1Zeqet2ampKGTwCAO8554M2OOMDdyE7exAC+Bs6wXfR5BEgoCGjo2MaIEweDwn6w/+pOzk5qS6IVxlZqjxQHvqDxk+/CVjczwOLDss8+kI/oNnEc6Aoe5N8hvkvLC1LaGKahD1+5s24/LqMYcxsfYSYbDfhSuBwkO1Iidv9hq+VNwvHXJnpa/3f2F92eTC/Nh1uCDBHS0vLuh4xxXOADjtuEMxxAbC+wU2TKMO65+E9D+8oy7r+0JwbPGf9U96bpN9cXtZ+GppBvxBsNvbPm/Zsmb2HAPOK37+1q1d3xHnzBZ9h/mhmcc+z5PGrXG/G5fdlzMLnd7vJ1N1uPX8vv31I+jtE7PgOAgJmPfILQ8aNZyxxmy1vU96zb5u988z3/D9tbqc8dTeWN3/za9MvDwGEMq64D4p7Ki/yS73qkM8wfwaHL5ZTjGyyENhrCIBfHBfNlhmzFWqvv3GQ7UEIOPjD0uaDhPruvwUzJZIeTd4mCwFvIQD94op7gpZTswu9quYzzN+r0dhCFgI7hABm1PL6ZnmSkecX0f4E/HHgh7enfe0QbLaahYCFwCGAgGr+UzNy91GyPM/zM80f+BpT0yGAte2Cn0GAC35Ssgrk2sM4GR6f9OnRwfAvhERLTNrrD/qAfXqgtvMWAhYCCgF449zCgmQUV+gZH96AxWc0fyIYuX61ubPHm3HZMhYC24LAnJv5x/sN839kmf+2cMAWthDwZQgg9BP0hxXTm+QzzJ/DCyJTXkpceqY347JlLAS2BQHwK7O4QoLjn3p9Qta2PnCAhdEC7iWkSFpOkVrLDvDT9lMWAhYCPgIBn2H+84tLelzp/cQ0HwGt7aYvQQDL0ujklPQPj/rF9bdcgEUAkA348yUstH21ENg5BND8nW2g3m3/9i3mH59i9/nvHDdszQ9AwMSU8Ovryd7o5+szuHn/wUz7+D8MNp/9rd9Cs9jdk/QqV0pqG7cu6JHjM8yf0+ZKahqkrK7Jo/v2vxYCewcB/2L+uzvkBwaz8uaN1E1MS/HIhJTYx2sYlI1OSuv0rCy4bs/bCwxlPlbfvJWnPQNyr7nTPn4Kg5DmTolq75GOGe9u5jO4ZaL972i0f4l5/d5fn2H+EGaOtjXHZL53VDbTQmCbEMDsPz41I0N6lKp3ATPb/MSBFYdRdPYOyODI2I59/pgQx5eW5Tc5ZfL/vCiQ/5hRYh8vYPDvXxfLf3hdJN+V1snQwt7t1WdOF9fW5G8yi+V/fJIpf5VeaB8/g8G/SS+Q//1Zvvzr1Cx50Te0LXoB8x+fmpabUX66z58FwGOThcBeQ4CYkhd5JXIr6rEuor1u/yDbQ1C+9jBeL/eBKOwkrb19K0MLi/I/P8mUf/OsWL4u6bCPFzD4c2Gr/FV6kfyn10Xb1t7eN094orAk/F8v8uU/ZVRJVOusffwMBhGtM3Ktbkj+h8cvJbm7/33o8LM81fynZyU0MVVeFZb9LH+zF76l+a+s6laGzQZi31kI7AYCnOxHdPyNiAQZmfDtff4w/0v3H0nss4wd7/M3zP9fp2TLb3IbJLFzQRLs80EYhLdOy69z6uRvM0v2hfn/3y/y5b9k1Uhy15J9/AwGiZ2LEtQ4Lv8q6dW2mb9axldWpWdwWK/x9oYW+gzzX15ZlaySSsktr/FmXLaMhcC2IADzf5ZbrMdjEvXvywlCcDU8ThJeZO34hD/D/P/X1Gz5fV6TpPWsSKp9PgiDR+1z8k95DfJ3+8T8/+3LfPlVdu0H+2Hnyvfw9Un3koQ0T8i/Snq9beYPvWLd477k8Sb5DPPn3PXQhDQJT073Zly2jIXAtiDAxVGVDa2Snlcs07PbC7bZ1ocOoDBE4HleiZTWNu3Y52+Z/86Yh2X+O4ObFVZWZC+YP+Z/b119PsP88ckGx6WI3ed/ANzjI/wEDHNldU3YVcJ1uL6eVlZWd3VBkWX+O2NilvnvDG6W+e+O+RMLB92aX1zUC8q8oV8+w/w5gS0mLUODmLwZmC1jIbBdCCAA6LPdioewvBnLTrtmmf/OmJhl/juDm2X+u2P+7M7hxtuHyc8lu7TKq2XvM8x/be2NDI6OS//wmFcDs4UsBLYDAed0rFUhtgRc8/WEm4xzvneaLPPfGROzzH9ncLPMf5fMnyt92erHlb5Z9krfndI9W+8jhADm/vaePimtbfTabHZYwYTWn1teLTXN7dbnf8BBih8T80/pXpZUngOGsb9+bzc+f/z87PNnqzK7lrxJPqP5ezMYW8ZCYKcQmF9YlPTcYrkVmShjfhDtf+VBnMQ/z/I6+Gcj3KzmvzMN1h+YP0x947OR4ZKf1DYrTzrm5WnXklcCgGnTCgyb49aumL/reF+0/rK65o3LedO/fYb5E8wwPDYhQ2MTmw7EvrQQ2A0EZt1X+sb5/JW+aP4XQqIlZhdX+h4883cYzkYm42t/+zrzT+tdkaDsOrmaUiA30kv0Ccqul8SW6XUMHqZ/62W5BDzOViHgffOU0rUkj2pHJPBlpVxLK5Ib6aUSnNMg8Q3j69p8Xxs7yYurH5PIij4VZJLbEVIW9/V7O+mjZ53dMH8OgcJdCR1j27I3yc38wz6XlcwH8nZu5+ebvF2cleXXIbIYcUSWnt+Wt8sL7D38YDf+mw+WEFH/ZeLLHHmame9NcVvGQmBbEGA3yfN8/znhDwsGl3wgCOwk7Sfzf9q5KE86FuRJ54KbGD9unZZHtcNea5GeRPMw/d/Xmf+z/lX5/cmr8ueAO3I6Ok2fKyl5Etcwplp+Mpp+56I8bp2RgMQsORX1TBKap3QejWbPL8KBYxVY1Hm+m1UvfzwXKMfDk+TEwyfyL2duyoWETEnpXlLmDC5o+c5F/RvrAEKDee/giuNioH36YBg6f4MDWCAUrzrmtd2I8l65/qxYy93JqJHIil59T1m+a9qmnmmD9087F7R9vr/OSuGyiOwXvu2G+e9kjb+dGZWllKuyCPPPfnh4mT8BTPfsVr+dzLGt4wUE8PkPjo5JZ9+ALCwte1Hj8BaB3Xf3D6mV7LAxf4hrXMOoBGXXSHyjo/mhbQa+KpPvgh59UItUwq3Ee/e+Zgi+Ifp7RdB9nfmnu5j/xcQsl2AGjJYkqW1Goqp6JaqqW+Ibx9QSQBll/k2TCkd1A3QuKLONqe6XmOo+SWgcFwSGmy8q5IeQBElompCUrkW5lloofzh1TR63TGt+bP2wxNT0atswdhUwWhAIhyS6ukfIN+4F2ourH5Goyi7FIcoyj4nNUxJT43yXvtA2D9/86voDufwkT/+mbFL7nDyqc9pObJ5QqwDMnnqx9SMS1zCiZfWbLjzhOwgXe40zBvcOmvm/mRqSpaeXHeaf/0jezk/vmKjtq+aPZhYSnyIPHj/bcQdtRQuBrSAAk1zVff5rO/aTb9X2L/GeXQuMZ6dpvzR/iCdm37/7y1G59aJCCSnM/+bzEvn6VoQ8bpnRd+sIrGHSrgCz6OpBuf6sRJLa5tyWAxUKTDmXcLCuDVdQmvPOYWgxtUNyLbVIklpn17VjiPFOfv2J+af1rro16ojyHjkdnS4/hibIkcBIwRVwPv61Mn8sNiF5TXIqMlUelnXJ6ahncux+khwLfSxHg2MltKBV5+vHkERJaJpUbTrwVaVq/4/qRuRCQpYKBscfPJEvrt6XqKp+uZfbKF9cDZXTUenyU1iyfH3zoVxLK1Zmj+vgm8AoORmZJl/dDJcbz8sksWVKvrkdJT/ci9d+huQ3axuno1IlOLte/vPnP8in52/JpaQsSWqdkZMRqfJ9UJyciEjRth+UdKpl4KsbD+TH0ES1SpyLfSG3X1epQIBlCoHlbmatCjc7wY0P1dkN84d+oSCX1DRKS1evV8v+zVivLCVdlMX7n8lKSbLAwHea9pX5s20pNbtQTy7baQdtPQuB90GABeQ87yvlG3l60tcOTf6McL+YP6ba74Ni5Tc/XpTPr4a6mf/1tEL5y6VgeVDcoQ8MHuaOrxnmEl7SKVGV/Wp+hiDDJKKr+iWhcUI1O8pQB/N0TM2QhJd2qb83zuVXhumQb9qJrR+Vu1k18peAIImq7JPk9vWCxIcI9Vb5/sD8/+lYgJyKSpPYumHVgjHxIyDF1A7Lw7IeORocJ+diX8m52JfKRMOKOuSzyyESVtSqMQK/O35ZIsp65GFpl7ZzPPypXEkplG/vxEhkea/E1o2o4PDni3d1bn/zw3llquElXdr2ychU1dL/6adLOudRVQNy83mZfHr+tsDUYfz38hq1PzdflMk/n7khdzNr5PcnrqoQEls3qlYA6nx2+Z48qhmSP1+4K2cfvdC5Jt7gD6evy/3CNm3/7KOXcibmuQRl1cpvf7yo76OrBwQBBTwjdgD8+tOFO4IrAQF2q/nfzfvdMH/W+8T0jATHPZWXBd5d7PNmoEWWEk4r81+tfun46XdI3vaV+UOUOegH6cYmC4G9hgCLh0AZjvb19mzsve7DXrbH/QRTs3OHyueP1g0j+e2xi3I8PFn+8xc/qmk1tWdZrqbkyd99dlS+vP5APrsUJP98+rrczayTkPwW+eJKqHx5LVS+uxMtt1+Vy58v3Jb/97d/lm9vR8q93Hpl4N/diZHvgx7JncwqORaWJF/dCJPfnbgi5xMy1HcckJQjMJsvr92Xb+9Eqxb554t35K8/+VS+CYyQyMrePSHo/sD8f/PDOfnVkePy1Y378u3dKAkv7VA/OCb0mJpBZdA/hj5WZop2j6b/XVCsJDZPypmYdPnscrBEVfVJTO2AXH4K3IOUmWPm/+FerHx1I1znFwtQaEGL/OPRMzqPEeXdEpCULf98+oZciH+tbgHiAGCoCIW//u6s4GrAmsC3wCfqfHYpWC4n58ivvz0jd7PQzGfVRUD7n126p4LAkZsRKkDgGgD3iDeIb5zQOIPgnEb5+tZDl+ByRa0TtB3XOCYIIA/LuiWsqE37Rf3dMPj31d0t8x+b3N4+/7X2clmK+VEW7n8mq+3l8nZ15+7OfWX+EEajme0lkbRtWQgAAQTLnLJqvTticmbn5q/DAE3WSUhCqu73ffPm8AT84au9X9Aq/6KaWrX8/sQVIRDrScecoPn/OSBINU18tIGvK+RPF+7Kt7ejNUAsqX1GML3y3HpRLn86f1vNtBFlXfL3X59QzTGheVJNsvhtYQAwkr//5pTE1g7LJ0fPS3B2nfqu1Q/cPCmBrzE931AGYpjM+4izN3n+wPx/d/ySnIpMc/m+R9WyEpLfJL89FiC/+fGCCmn479Gk/xIQLL86ckpN+0865+WnsET597//XP50PlAQrv549qYcDY6XKykFKnjdTC+Sz6+GaCAhlpybL8rl3/32U+Gbf7pwWxk+wgG7CBAWzLyEl3aqkHAm+rm6CMx7hJHv7j6S68+K5FTkM/mH787IF9fuq6aOS2cj8yfO5OubD1Srx5qBHx+XBgLEtZQ8tR6oa6JnRYUDBFFcEFgBEBo37nrwBie8LbNz5v9W3qyt6T7/2zFJkp5b8mEy9PaNoO0vRnwjiw+/kbWhDpG3Oz/cbF+ZPwSNoCx8mTYdHggsr73Re9+5+/2XeEYWl2RiaVlWd2HiBprrbvWb8P1b/S6HxUpceuaO4xf2w+wP4f3hXoKcjXmuGh+mVpg7zP7GsyL58nqYKyBrSR6WdymzIaAM3y8+ZTQ1BAj8zZ9fCVUTf2RFj/zq6+OCyRiGQD5m5bDCNvU7/4c/fCm3X1drecz7EGK0OiK9MR1jDaA877wl0u8r5w/MH6EMzZhgN7bH4YNnB8Dl5DxllMfuPxaj+ePC+T44VmGNYHYyMkVhHVM9ILF1Q+o6iKke1DiP7+/GqsAWktcsn/xwQYUx5vKTo+ckNL9Jg/se1QwqPuDf92T++OT/8eg5wUSP2yG5zYnToG9HbkWo2V/dOqVd8lNYkhy5FSkXEzN/xvzBNSxICAYwcvAgrKhdBQYEUFwHhvkjJIKjxDoQX3Ap6cPbGt+HGx/K2zbzf/tG3i7Ny5vJQVkb7ZGFxUWpamyVjt6B9zMI3JsLMxrhv/jwiCw9Pi9vJodQr99f7z25+8r8uXSlsrFVTy17Tx9s1gFDoG9+Qf5YUCmfFdXIF8W1B/p8XlwjXxbXyM2GNplb3Z1QCPPnZKwbkQky6i/M//nhYv7sucY0+01gpAaOEcT1q69PCIziRnqxmoNxC6T2riiT+O2xS7ofHAL86bnb8kNIouDPDc5uUF8swkBUZa/8/ZETElGO335e66H5fXXjoZqW/7/ffy5XnhbI98Fxqg0aAgxjw3+Mzx+frnm/219/YP4w3YuPsyW1xwn4gzn+6qvjGkOB2VsD+sKS1Od/IiJVgnMb1YeOafxSco66W2Cy7BAgloIgToI7NeCvcVK1bYL4CNDDh/4P356WsMJWDazDaoM2jr8etw3mfQL07uU6fnoCPb+9HSX45Cl7v6BFrUBo705k/6REVnTJH05d1/59fjlEEpunNU6AgD1iPS4mZKqLCKEERs95Bgg0ga8q5A8nr7mZP8IkcQH049MLtyW8pEOFhd3iyFb1vWL+KDlrqw7TnxhQ7X0lP1bWBtvkzdqqKsgfDPRdW5U1/P1JF2Qx8ltZyYuRt/O7U3j2lfkT7W+v9D1gzu7F5yrGJuW/jXwq/1tagfyf6SXyVwf4/B/PiuR/epoj/+5lgQzvMhaEWJKM4goJTUyTiakZL0Z+eItgJQt7nKYnFnJnwU7Sfmj+MInf/HBBAhJfyZWn2XIu9pmakIkQh/l/eSNcYwIgjmj0vzt+RQ+HgfhD3NE+r6YWSlBW/abM32FMaWpexufM1q7/+Mcjci21WL6+GaGBgIbwWua/+Slz7PP/9HygavkGVgRWOvvyX0lofoNG+xPEh3UATZwAS8z3ME4O/iGY80x0utzLrZOgnHrVrG+9rBCi+Y3PnMDLL689kHu5TfKni3dVGAzJq5egrBp1IVxNKZT/8sWPEpRdK8HZNfLtnSg5/jBFhQWEBoICQ/Mbhej87+7GqNWAgL3gnFo5+yhd28Z1wBY/hAKi+48EPtTYkuiaQfnVkZNyIf6V9hH3BK4kAhY5iwD3kY6d8wS6llRAxd3hHBK0NxYiA1vP3w8yfzT2tTV5Mz0iqw05smiYd3aEw7y9MdvTxuKcLGeGyWLEt+rzX2svE1nx7mCgrWjJvjN/9vmH2a1+W8H/F3lfOT4l/110mgQ1jglaT8wBPuEt0/JFUYv89R4wf07Hmpmbl8npWb9wLRH5y3gQBHaS9pr5Y17lwBXMxEROQ5Ax2RIMxh7/y09y5ItrYaqlkYePFdM+ZdEe0fjxM6NZ3sms1XqYeR+Wdro1f7Q4iDzbt4j6v5paJH/zp+/kYWm3mpnvF7YqMcdCQH/Q/P949pb2Y68iuH1d88fqgosFzdowJjRs3Cowehjqzeelgg8+srJPo+XZlYH/nJMB8eNj4bkQnyFnY17Ilaf5ussCAQEBzsCZOSaQDp897y8l5aqJHVN9dNWAbg38r1/9pIF/7CrATI/Wzrc4rIdthudjX+lJhOxCYL4vJTttXIh7rX3AzYM1AksCeHQno0pdDcx/WHGHnI/PkPNxr/RbWCrAHywMJp6A8eMOAg9PR6UJgakGJvvxuyXzh2EvLwpb81Yr02U57aYsxvwomOwXHx2T1dZiebu2qi4+YpcWl7cI3HvzRt7OTshq5TNZjP5Btf7lF3ec/f1vdr4tGPqyr8x/YWlJwpOfS3Tqq53QMltnnyBQNT4l/33MM4lonZZnPSuSdoDP485F+b6sQ/76Zf6uNX9FYBaZPvsErANs1hnHzhg/3dxr5g8DPx//SqPs+T/EExM/5uXjD5Lkakquapf3choELRHTc+CrKn3uZtWpqf+P525pNDfm19/+GKCMHs3wn34KkKiqQW0PywDEmr3lmJb/8ftz6g749naM7udGAAh8Va3MASaD7xktNrKyf08Iu88z/54VFYxgmIbBwQBhmLhHcLXAuImtQIBCGzbxEjBN3sHgObqX8jBUfd+xvix1+IbJ45RAmDtbM3mHmwBLD0wbxo7p3vM7tBtXP6p94Xu0Rd94x/ZP+kU7Og6XBo8Qw8OpfQgR2kbDuOKNjqNrScfJd3gogzCDC4HdBgYe+/X7M+a/tuby6Q/Jal2mLKVck6WYYw7TD/tcD+f5/9l7D+c6svtccP+Ora16VVtbtVWv6nnXLq+fn1PZlmTJCpZsWZY0lsb2zHBmNEGaIYccDjOHM8wRIMAAIgNEzjnnnHPOOVzkGwHw2/p+Fw1eggB4M3Avuqu6bujT3ef8TvjOLxuz/bGpmcCmyYDlpUVEp+eiqrEFoOU+T5NBXPhe6JaxqRmHqToRhrivzWF4k66D7n7YtN/QT1nSXAr+NPZr7u5HS3e/8j718xBQwBL8Cfyumhi7PTdxSI8zTgJ/giXzR/C0l1s+BN2xXQXq/RxJTewK8CenyMWdolT2JxfcuC4NwmoH5CR3dfZpNC4GJ4r1Phdv+usr/5PrJ6hw00DuVDjN5gkxHuSizucSLK7G5Mgz7iSXShm+K6plWjg9Pp82BOQp0zRlAAAgAElEQVREqU4ILOuSMgSO3caYrf95A/jb2mZXlKdXCA33uJlwxfPf9ExuGqjvp0rhelyBU+1C9nr3S/DPR0r/IDap028vhjHLD4aoc9CHnoA+2Az6DMkrYXmrE7HRXwfTYDNmO2rg+ywEaclJ2BhuMZ8DDVjvroSpLgWG9HvQPz8HffgpGOKuYL27wiHf/u3FxtWcP3kYLmbe4INtSTRP/+4t4E+wnJydR//ouLj9eXK/UNLPdL60+rV3I+Ns8Fe4KYV7UxZA8/+Mp65wgeaY8LLoC8dmjg2vcIgMNct7WJ6bB4VjU2KwSzz4rbjyCkfId3FjwN/bz9mK5648Z2e9lPrZ+qmCv3MYAPYTo/Y5q19s7UeOFxobRjaNiJ2CsmG19Tm2lCf4P+tewJ8kZCMxJ3bLIO8M9GGntoD/cwnIowA/I/PpI8+ICkAbfRFTEZfgc+sakn2vQE8JAU+K95+fNUsL+JzIMxLSd2OkzRzRz0614M710aWc/86Xqb8PBwW8BfypVsqvqseTmBSJlHU4qGtfLQj4/s+TkFxQhsPk52/LQuipZVXwdw74K5vCgxoHygbTLFF6qQJxZX0swT8pPwnGnEdm4A77Qrh8AX0C/hbXL1IAcvIxF6GLuYT5qK8R43cLJQHXYIi5BEPsJYngZ0i5DWOmL0wlESJJoO3AC6MWcFDPb7k6uRT8abWs1euxptNZvlP9fsAU8Bbwd0ZKX4IuT0YL3MlxrzNGhdFoNxjb0s18t+el9HUOaLhycbbm2d4O/gooUopyUFy5Nf1gaxmRPImKwbVGffvVS8C/ZwF/kpSH5O5ubE71Y70hA4bkG1ubgJMvgV8R+9ckYaOnCuv99TD0N2Cquwlz3U2gBT8j+In4f7wLmzODYApfSbXrBB3/zvXIpeDP2P5pxZXIKqvZ+V719wFSwFvAn37+zB3xIDwes5q981pT/aQAOz+Vk11A0NdqtVheWcHGxkvrWZZZWlpGTn4BtDoduJG1vG+/7lPK8VM5lP+U3zs/ef1OcAxiswsPVZCf/RY+b7nm7eCfOqQ3W+lL7gWznYU39B0DUAWUdoha6KA2NS91/gVIGZkwR9xbN2JzfhSm2mQYEq+Jvl50/wr4F4eJBf/ONcDdv10K/vTDDk7MRHhKjrvbdSTf9xJq9m++t4A/I0f2jYyjrq1bov3t1mram+h0OqytrcFkMsl3Av3i0pL8Xl1dQ1VtHfIKCrGysiL/6Q0GLC0vS5mp6RmYJQAmrK6tyX96vV4kApabBW4iWI7/ra6uyv1arU6AnNKDlZVVaBYWYDAYdpUkEPwbOnrQOzS6vVHZrT37/edsnb83AIQ1bfBq8B8xigEmM/bRTZOGk4wBYA1dDnsZegh8G5UlmfvEI8DNxsukz2vgzwlK3/11I8Raf2YQ6805oBhfwvKGHBfxvvjpC3Ng7aq938y375pLwZ9Bfp7Fq37+9nWNbXetb77AitEE3cYG+H2/IeUt4E/ApXSJ525Gpbw+NDKC/KIiPAsJQ1dPL6pr6/A0KBhBYeFobG5BR1c3HgcG4fqde6iuq8fA4BAKS0oR9jwKDU3NKC2vxJpWi/6BQYRHRSMgOBTpWdnoGxiQTQMBn8A9Nj6OppZWdPf04nlsnLwjLTNLQL+zuxuPnwXhWXCoXLfcNFj2Mm0Y2BZ7D0fAn5wTg7nQRUtxD6MBl2KU5xIg2HJHk/ccwMKttMmbwZ/GlIyjz4x+7F9m+OMnjS4JmHSdo9cEw+a+xj1vhVSmpwbLsCxdBnkqHhx8DumYsuWGR9979ieN7SiWl3d0LW7duyKRA5X3KQZ5YigoY08jrnr8n3WhayINCOlSyDI0HJU+2zIeNUcR7MLxu8/k+Up/uvNzV/BXJjDBfd0kwXw2Z4ZgqkuFIfU2DLGXYaqIwaZ2WZiIqTnNgUQodSn4M3hBfG4xkvPLFHKony6igGlzE8Mra2jRLGFCq4OeUaUoqt7lfd4C/mzafuJ0gmxZZRVCIp5jdGwMre0dCI2MQmd3D3r7+3FjC/BjE5PwJDBIgL+sohK+j59gaHhEAP6urx8mp6Zw9eYd1NTWY3hkFI8CApFbUCgbgemZWeHm8wqLUVRaJiBf39iE7t4++Pg/Rn1jMyKjY1HX0IipqWmRHOwF/vu1ZZdufO0vx8DfIKFVmQjl3LN4XAxJEbcp+k27ajElMDGMb2zHrGTxo186AcNV79vrud4K/gRRbuaYiTGookdoy9S43Nwx5a5Pdi2+jcrBhaBE3IgrkMBMlhsA9gXdM31z6iU+A+PzM4Qvsy1SksDgQQL2Qzpx8/w6PF0iAjLxk2w0GkYk0A+DODFMMGNB3E+rlFgOiusm40fQH5/3XgpNlWRC3GTw3cwVcDOxWBIWPS1ul40DxwyvMWgQQ/0yOJE5ZsSkbGj26mNX/b8v+FvO0M0NsdTfnOqDqS4NxpJwrE/0YmFxSRjkgqoGy9Ju+e5S8Cf40CiLUcvUw7UUIK3J+ScPTyB2cAy1cxoskyPeRQrgLeBPsKQrKc/dLOQJsqXlFcjOzQfF+ynpmSguK8f4xAQmJqfgH/AM5ZVVIOCnZmQKl15b34C4pGTR84+MjopEgBICgj85eG4iIqJikFdQJBuA4tIyUDWQkZ2DlrY2XPr2mmwuuElISc9AVGw8/J4GgM+l6mEv4OfooBrjjTG+9xlGjoG/XlKh3ojLwfPGYYnK9x+nr7g0UAqBhuFeY9qmxYefueOd5btvy2LvreBPrptx9T+7EyBR+Rivn1kYGWuB0Rk/uHwXwZU9eFbWhv88/Q2YJleRwrBvyFkz1e+ZJ1F43jSCKxFp+Pfj5yUhT1hdv2RXZIhnBmdi/geG6Q2p6pFsjATrq9FZYJCn0Jp+3EzIx4//83cSk5/3XgxOABNAEfiP3wuEX169xPdnauCrMbnybqaA/jo8bdt3/1F+k0gSKIm4FJoi2SUZZOjLh2ESbZASCVv63RllrQZ/zltKArgJMOrEkM802Y/5hUU8jEwU26V9prZLLrkU/Ml1mhfnl4ZULmmF+lDh8I2bm6ibW0BI7xDC+4aRPjqJtoUlzDODnoU1u7eAP0Xk9I3Pq6yTTebOYUCgLSmvQE5egQBvTEISgsIiQHE8wfp5TBzaOzplA0BRPnX6tQ2NiE9KAfX6I6NjuHrrLqpqavHluYvCwfPe4IhItHV0oKOzCxHRMWhpa0dmdq5IBT47dVrE/iwXHZ8gz25ubUVgaBjCo2IwMDQkor6ddeVGJr24ElXNHQei808f0QsYkJsTsW6XBscu3JJc7LQSJ8fIfO23k4uF22IZcl/Mvnc9Lg83EwoRVjci4loloM+NOIaWLRYuk0BELpSc/vXYXPjl1osPP0O5Muzsg8xq/ObERfhk1kjEN4qhGS6Yz76XXiHcKp/B0LKsC1P/Mg88OT9yg1zIeZ0BhtJsDDLjreBPcTm5aXLZNI5jxL2Pr/nhcVEz7qdX4PyzeAmwxH5kwiaG4+Xmi3RkH1LkfuphmETuY3/75tRJQh5KasjZMxnT1agsnH0aJ2F6GfKX4X8Z/vluahluxOXK+yVMb0ETfv3ZGYkIyLrcTSmTRD0M13s5NEWyNDLDICNEMrFPbPsM3jp+XvIIMMgUxxmzOTLQE8t9duepbDooJeC4ZKZJSjScAei2PMMm8FcmPW0CmKjHaDCn9I1iSl/3G8W7FvyFM9vYVR+r0EH9tI0CsqF68ULAnKJ+y9OwsYmxNS1iBkcR0TeM6IFR2QTkTUyjf3kVa6Z1Kc/EPkp4X0+O8KfV6ZFdXgu/50mYX3w9w5Ul+NOiPzk9AwXFJRifmMS8RiOnRrMgAG3m/FeEQ7cE/2u374nu/8q1m8LRz83PY3p2ViQDYxMT8H30RKQGlDDQoO/yt9fQ1d2Dubl5sOzamhYrq6siacgvKkZgaLiI/nf2OsH/Xmgc4nOKD8Tan/pUpoVlXHfqcZl+9f3Ld0UszHj6n954LHH+byUUS/Y9gi7j9lNN8DC7TiK7MaQqwYPpX0/cD5aUsNQ1n34UJbpmhuTl+TCnQRL4EGQY1peJZSj2/ZcPjsszmTToVmIJzj6JkeQtl8NSwVC/DO3L+PBMRsMEQNyoMDWsWR9slGyBFE0zZr0tC7i3gj/7gtKUOyklojcn+JOzflzYJEZyDKVMECf3fOZpjPQ90/USkLlJo0j/tH+E5GWgJOBRIdMsB8rmgPQ9+TBcgJsJhJi9kfH8mUr32MXbAsgMDf1NZLbYEzD+/m+/uCjjyizSr5YUvqf9n8sGT9HnM5Qzx054wwh+88UlMC0w1ResOzMJPilqE0nRR1d9ZTxQmsFNy+d3nslGxpZ+d0ZZu8B/a/JzztMNvrSuGe19gzuXBJf/din4k+ufmJnDxOycyxtyFF7AwWLY2MCMzoDxNR1G17Ryjq3p5Df/G1pZE47/UWe/fCYNj8sGILJ/BKVTs1KuZlbjFeCvuPr5ROzu6kfwp0g/N79A9PJ1jU0i0p+ZnRPLfFre0zKf1v4Uz8/MzqKmrh6JKamgxf/o2Dhu3fcRCcDlb6+js6tb0m8aKElZX4dGo8HjZ4FiO0AdP0H+gd8j9PT2wUhDRINBuHwjvQz0egyPjooKYGqaebhfPdi3t4OiEZN1MK5+CudPbj2mbQqPC1pkETfH3adYtknC/NJinLH1KTqmbcCDzCoBW3J9n954JDphyQKYXCox1wku5AQvhSZDFuwWczx/SdQzqMOxS3eE2xfR8ZmrYOY4Jv+R2Oy1QwI05BT5m1KBbyIzcT4wXqQDBApJL9w6LfpqioWZ953coC0Lu7Xgzz7iae3Borr1DfwkrwJvl7TZVCdb6r9XWYI/N2hM1kOa7A/+sQL+BOn7GRV4mFOL+M75N4I/w/l++PUDXAlPw+2kQtxOKsLNuDyxMbgRn7cD/C+ZwX9YD59MM/h/4ROGmwkFyBwzx4wIrR3EFw9CRB3wmy8uCvizfdx8nA2IFXE/pQoU+4vRYe+yiPyZATKmbdbtNHYE/DmOOJ4YBp+nuw+Xgj8N/p6n5yMuu8jd7fK693HJ0a6vo1WzhMqZeRHvN8wtwnwuoH5uAXVzGlTNzINAf7u1G2kjzPI1idSRCcQNjiKgewCJQ+OI6B/B/xGdKYl9PJrz1xuQs8X5a5aWX+tzWvvTyI/6dn6n3j8pNR0P/B8jMCQMiSlpmJ2bF4M+/6fPQM68ubUNZeWVIGDPzs3JpoD+/hVV1cLlk3On0SClB3Qh5GYhJDxCNgIE++q6OrEleBoUIh4G9B7IzTcbB97xeYiK6hrxHthZWS4Cj6KSkVpYLoaaO69b89sRnX/aiF4S6rx96jI+veGHt7+8jIe59cLFk+O6n1EOZvK7l14mHByzrdFQjGlVlQQyTNl6OTQN//LB5yKS54LNk5uEz25TdxyNk75hCK7qFZEy1QnvX7ojEgKqDJhWllnd4jpnwXSsItKnF0LvMr7wCRUVBEXYVyLSBczIsZLTJ6fKzQfFx8xCSInCXoC42//Wgj/7d2lpyeoNwEGDP0X3zJL4+5uPEd02bRX4c8NAIzxa7yf1Lr0R/KmTF+lNbr1sFhSVATdsTL/7Kuf/Kvif9o/E+aAEcddTvAaYLpjSBaZ3/s1JM+evgD8zQzJ1MQ38uEmkNwDfc+ZptIwNbjR3619X/uco+HNe27qptGYtsKaMS8FfdfWzpgusK0PDPVrxV0zPYVqnx4rJhFXT+ivnssmE0VWtAPyzngEBfXL+MVvi/6ShcdTPaZA3MeMVnD93yxT3T89pQDe5nQcnFblx6u95cAOwsLAo7n8EZYr8yeFzUZ+emZGy1PsvLy9LWd5HsT0lCFz0Cfh9A4Nm4Nfr5X/68jNuAJ/BcpQk0DuAroBj4xMSQIgqhv7BQQwODck7dnNL5OaOUjK2h/W253AE/Mn5U8d/LSYHobUDeO/iLQmgwmQtFL+eexYn3BYXa+qHyXVfCE6Cf36jLMIUEd+Iz8X5Zwn4p/c+xbOyLlmIM8fWRaRPQzMa9n0dliZie4qHuVhTRMx0s3RBO3bxjohy47tmxWiMFulcuAliX/pHiiiZCYCYNIj3UjVBmwGROOQ2iD6a76BY2ZYF/03gb944rqKlpQWlpaWy6bOmj2iES1XbT3Ir8B8HwPkzuA9B/63PzyGoghuuFXx6/ZEY7PlkVUu/cGNFnTr7l1Ie0pq046YtuW8ZXz1+DqoC+Js2Fl88CBa6swz7hDYZd1PKceJekPRF7JYnAfX8txILcTU6V6z0Ayu6JY0zNxUEet+sWkkVzc0apTUEc6aA5uaOm0TG6KcRIlM7m/vSKLYjn1z3x29PXt5yTTRIGmNmEoxoHN9OPWxL3zta1lHw59ii7RKZDXcfLgX/7SA/qWqQH0c7lq57rQtLaF9YAnX7O+GBv6n/b9EsCucf1T9i/hwYQeboJJrnFzGl1UO7voEGL9H5k6bKrnknPfaiN8tzwhGorVnALZ/DxdyaDILKO5TnK7/53v0OllPu2a/cXtccA38DPrxyT3Kt07iLOnhydXT1eufMdfPC3j4rnBbFrTS8uhCUBP88M/gzLStF+7Tg/pcPjwvAmHOpG2WRJ4fO3+QseQ/zvjMD27sXbm6D/0vOf0ZUC8woSNBhfWhcRuNBgoMC/oxBwE0AAYG641N+ES99wW2IG7AX+LMvqN7hxq+mpgZJSUlIS0vD3NycjJ+9+oH3MaAUN5KTs7P4bXoB3i1utWlD4igoKfcTaE/5heNaTK7QimoTitYJxoqUhDSkjp8bNiV1M/uK35mVkcBMWtMynyJ6xSOANhePC1ukTy8GJ4m4nv18JSITkY2jeFLcKsaCBHxKZs4FxJrtM4YNohag3QbtOG7GF4pE6FxgAk4/ei4bS77j/LM4GWdKW7hROfs0VowQ6YLKTR5dGCnZ4LhSyrnz0xHw5zhh+PvSuhZ0DYzsNZxc9r9LwZ+7maKaJmmcy1pwRB68ZDSJqJ96fUoBdh5c+DUGo3D5Dzv6Edw7BBr69S2vYoUuZJsvtv3+mzRLXsH576TBUf/tLPCngVVs+yzePX8DTLFLfSqt+bnA0jAreWANMe2zYuTll0OrfS0i6ofFWyCgrAvU+d9KLBIOj5bZn173x/2MSrHCJ5g/bx7Dx9ceil3BO+eui3qBIn6qF0JrBoSboxsawYaW+5Qq8Ldvdt2r4D9qEg6QoEJfdtof2LPw7wX+3CBOT08jJydHQL+5uRkZGRkYGBiQTYEy3ripUzZt/KTEiGW5UYiLj8el57H4pLjZrrrZ0x7Le0hvutox0A9tKQigVLcQONmPvM7+5n/Mysjfyv38zv+p1uF/FLMrxpX8ze/cILCcSBA6ZhHTNikbROHwh3iv+TqfQ8BmWZ7y/q2UzhwjVPVEt00ioWdxux5UIVhKcfgOGn/6ZtfKu+O7F8TbQDxUtiQWSt3d9ekI+HPcUF3pJ65+1cpwctunS8GfE4HcP3c36uEYBWb0BgH/Ob0BXOR3HjQsolsf3fuo9x9cWcMijc42NqS85R3e4upH8fn84rKIy2lgt9fBcciN6PT8AkanZg7EuGavuin/s38GxiYkRbECJMo1az8dBX9a7j8uahUuj4vunZQy0esThEVn/zQaX4enSq50cnLUw39y7SEuhSThpE+oBHKh2JhiYv6+FJok7ly08KcL2IOMKpEmfOkXjk+u+YmYlzYA9CYwc/ch4v9NlQIDydCSn9IE+plficzE86YJEU1zI6Ho9fl5J6VcbAfoJWDPor8T/GW8GI3o7+9Hfn4+ysvLMTU1JRx/SUkJGhsbRRrAjUFPTw8aGhowPz8vEiXLe9va29Hd349/TcvHeyUHw/mTHuTsKcEh+LNfFQDmp9BrC5C3f1tITZSyLGf5fedv8RAZ0Eq/EOjpfmlZ3vx9K0Lf9rPMv7n54MZCAXuWNT9/KxX0sF5cPOme+NWTaNkc8vnU93NDyE/FZkDaY1F/V/92FPy5fvlGJCC9uMraae60ci4Ff6fVUn0QJrV6AX8COsXPOw8G9CGXT08A2gJQBbBLMbnNW8BfbzSitL5Z8kcsr669QhJSiDtr2gLMLSyhpqUT/lHJaOsdPJzg/+KFRPrKLKna5iJfaZAVPxwDf6Pohy0t5WlQRwkAubew2mE8Le5AQEmn6GEJxHThowiePtgEcIILF24+gzp8BnqhTz71v/Q5pw6fomX+T398cpp8hyzeQ3oBd3oT0F+bzwipGRTXLuqrqZfmxoJAxngBZo7QKP/dSS4TLwB7/bwtwb9vcVnsNDo6OoTLr6urE2NOiv9p4EmOvqCgAENDQygsLER2drb85uZAUevwkzYgTAi1rNPjxznlB6Lz3wa+LQ5e4by3/3cjSDryTvZ1UGWvbERpg8LNhagltiQPLg1B/QYaOQb+L7C4vOqdEf64C2bEMkeillmx5h2JIpNanYA/xf87wZ9AR7G+GfBf3xjsJJC3gP+aVoeM4srXsvpx8WW0PO6qq1o64B+VhJO3HuHqkwjh/O3lrHfS0Zm/WafDntLXkpMjGFPP+6igaVu0u3OBtyzPa8pvfu4su9vvN5Wn2Dm6dRKn/SLwKL/5FRHxbs/b6z8z+Hfg14U1aBybQH19vej3aeBHA05lvHADMDg4iISEBJEEjIyMYHZ2VgJI8ZpSThkX3HwfpKvfXu31tP+palIkA2bgPzyppB0Bf44XGvv1jYxhfGZWGTZu+3Qp52/W+TeitL7FbQ3y1hftB/5sMyH/zbBvpo63gD9DRzMqHlP6zmgWRdLB2BILyysy5m4FRuHETT/87vId/OGqD7LKqg9tqGkuBLeCohCTWbDNQdo6lh3h/G0FBAbSITdGTv2gRK5KZDpuQihdsJcDJPgfK2vHz1PzEZKahri4ONTW1grHT/29wtGzj8jhx8bGigqARn20C+D1ncAvc1IFf6s2edaMvTdtBK15hivKOAL+5jHyQoLg7eYBZOv8t7W8S8GfItew5Gzx9be1Ymr5VynwJvB/tfT+v7wF/LlrrmvrQmJeiYD/5Ow8yhvbRIdGTv+jr++J+xpd2M7cD8DI5Iyk/uWm9LCdbEtiXinKG1t3BZL9e9R81Z3gLzpeC4MvVyysb3pmygCz0s2LGkAxSnvTPbtdV8D/nbQ8xBcUioFfZmYm8vLyZBNAvf74+LhsBviZnJwsEgCC/36HyvkfHg59t353xn+Ogj/Hjy2M237jzdZrrgV/N6X0pbibLmxr6+seebLu63tk4FM6VAV/hRIvP+l2R2PSmfkFlDW04lF0Ck7dfowPL98RP/F3z93AO+du4P2Lt3E3JAaVTe2obe1CbdvhPMsbWkVV8bKFtn1zJ/g7Y+E8LM9QxP5v5VeiY3pWuHrq9Kn3r6qqkk0AdfvFxcWgwR9d/igZUOJH7NVLKvir4L/X2OD/BH1Kjpj4jmF+3X24FvwNBoQmZyMiLdel7WJI29zxabF0p7W7p505Y1OY0ullA7AXoVTw350yFLdWN3fg6pNwfHhJAf3rr4L/hVv4/LovLvgG4uLDoEN5XnoYJBsU5va291DB3z6wMYN/J94qqsXAitlwlOOKC7PRaBSdPsX9ra2tYv2fmJgoRn4rKyv7dpUK/vb1x2HZFFpTD0c4f9puLa54qcEf9RiD45MYGp/cd5LYe5HEow/7xYYO/K/UIvwktwY/yanGjz3k/EFWJf4itRg/yC7F8Orari58Cm0Y3Y9pencz+FPKWPvpLWJ/8wK9KRn9+kbGkVZUgSuPQvHxlXs4dv7m1gbgOt6/eAt3QmLQOzyGofEpDE8cznNkcnrX7ITW9qsK/vaBjSX400VWOTi+qM/nJoAifnPExzVx65uZmdk1O6NyLz9V8LevP6wB3cNSxiHw3/Lzp0FyVqkXZvWjpb+rkhYwhW39/AJ+lleFD8u78KRL41Hn1aZx/G1GOb5u7BRQ52Kz18HgPrWzGtClb6e1/1737PW/t4A/xxU3lo2dvVhaWcPSyioGRieQkFuCcw+e4fffPhDgf//CLZy44Ye+4XGJO8FN6aE71zdQVt+Ctt4Bj9D5H5bF1xn12Av8d5s/lhuC/eYr71XA/0e5FfhFQRNCe5fV08toENSzhNutU/h/kvKQMjKx25DZ8z9uLBnkh+CfWeplQX7ME8AcWW5PCth5gTBJf/YrTZ34eUE9ntmYycsZi4ajz/h9ZS/+Jb8aVbMaCdm7HymYwY/gzzar4G+mFPX9TOzjLyl9zYl9uCDTBZBcfmxWIS75BYvhH639Y7OKZJOwH50P6hrrff8AU/o6OpY9+X5bwN+W8cE+pavfT/Mq8KcpRfhZfr16ehkNfppXjx/k1OBPUwqQMTply/DA5uYLLK9qkZRfhqrmDpvudUZhl+r8OfiZc52pV5190MiP+rn/mVqIL2sHkWhjMo+DXKzSRoyI6l/D32SU42x9u1WATrsGgj8z++0jILCKzN7C+b9M6ZuAWc3idts5qSgV4HVG9EstqsDZ+wE47xOIgbFJhzdP2y9y4hfOlYNM6XuQ8+Gg3+0y8Jf4G5tgcq3HXQN42j2onl5Ggydb7QntG0b/8qpNK4LZ4M+stiROuvtwKfgbjEYk5ZUirajS6e2a1Rtwu7UXf5dZAd+OORBQD3oRsfb98UM6nKwdxHezylEwMWMVGHUtrkiQHwnk4yA1Gdv/f4/KxPWWCfh1zuNh55zbznvtM/igvEO4IYYsduRg1kjh/KOSdrWSJ6DShY5RtPpHxyVdblNXn8vUUI60hXX1e56E5IIyq8bDbu9Sdf726ZhdBf7sIy7wtNPhWGf0TfX0QhroDZg3GMHka7YeZOQo/ifD4u7DpeDvqpS+FHvXzGrww5xy/L6qV7hoa4H3oMtxkxLRt4K/y6zEt83dmNC+ecfHRb1FsySZ+ZwxRNoXl/F/x+fgH7Kr8E95tfiJjeePcmvA88c0sLTj3u9klePtklpJROTIgBYQ3wwAACAASURBVKevPo3kugdH9jWUI7BSx88QwLSudZUNiiNtYR07+ofEIJHf7TlU8D984G9PP6r3HB0KyNpEV287Ng6OUsml4M+kPgFxaRJ73dGKWt6vX9+Af+cA/t/kQjGgSfUgrj9p2ICrzRP47wm5IsYnJ7/fQRhgHID6uQWJ3b9fWWuvUWrCrH9BdpyBPUO4194rthYUednzjLC+EeSMT0u7rK3zXuU4eewFy72eeVD/E/MdaYsK/ir4H9TYVd9rOwU418nA9I+MS0Iv25/g2B0uBX+KXLNKq5FbUedYLXfc3bW0gl8V1eJYeRcoQk9/Q/KFg+b2Ld9P69Af5dTgD1XNGNfq3qi/54I+pdXLRmHeQTG5QkZuOCiKZJIgW0+mDe5cWEbp1JwkG7L1fpbnuxmQiW1TD+dRQAV/FfydN5rUJ7maAhT1MxT509hU5FXUu/p1rz3fpeBPXQatGSlqdcZBqFjf3BTO84c51XjYMYeU4ZdpIi1B9jB+p4TidN0g/jKtBPkTM2Lotx9d2F7DxiaaNYvoWFy2S6e03/PtuUaVy9iaVlQQND48yEMi/On0WNVqD6Uo31baaJZWHMo9oIK/Cv62jjm1/MFRgPi4ndLXBXZxb2qZS8H/TS+39To51uFVLf4xpxz/VdouFv6ewvUzMUVU/yr+taAR75TWS3Ci/ThfAj/jGNC/v2x6DjM6/aHglLfBX7Monge29qEzyxtMJjR09khwHyb58eSDIsC4nGKU1DXbLfpXwV8Ff0+eA0et7i/9/JORVeZlQX7YmQQxns44lk0mPOsZwt9nluN++4xHifspoaCu/x9zKlEyNbevRbfogjY3Qd/+8uk59C6twHAABiG79dlhAn+68lGt9DAyAXMLS7tV12P+Y5/fCY5BbHbRdhY5Wyuvgr8K/raOGbX8wVGAc552cc1dfRgYsy1AkDNq7VLO37S+IRbMnQPDDteVoDOyqsU/5VXgk8oej7LwJ9cfN6jF97Nr8HFlk1juk5MX9x+6AG2d0zo9GMaXIUZbNIuom9Ogb3lFAoWw/YfhOFTgr9Uho6RKUvpa+vkfBjrZWgcuBJLSN6tQBX832/DY4upHbm19fV1Oft/vWN802+vUzS2gfHpePb2UBhUz8+KGPWeHTRbHkN5gBN3i3X24FPzZKCb1ickqdLhdjGyXNDyBP04uhF+nZ+n6k4b0uNkyhT9JLsTN1h5UTM+hblYj4E6AV04G8aELI8/OxWUR9es2NuwWAztKdG43CPZcxJTNx27gz3LkOmmP4c4tClNGF1Y3ikcJffk9+SD4BydmiviP3+05VM7fcc7fMrGPAvRM7qPE9Z+bm0Nvby9aWlqg1Wr37SZG90sbmcAvC6vx49xK/HN+tXp6GQ1+ll+Nn+ZX4d8Kq2Vd33dA7HGR892+Gb/HA63826XgL37+celOcfVjkJtfFdbg3wqbEdm/6jEBfWh4yJjePy9oxG+K68RljzvE3U4GiqAlPA3paN+gAK6Vfen0Ynz/iskkdgfcfBFceIrBn2ZRLPYZm4K2CfREGGFyIjcGq1AM/ta0ephMB2t86AziM7WnI5G+VPB3BPw7JKsfo7Qp2fyWlpYwOTkpYF9dXQ2m9WU635iYGKuy+jEPR2DPIP4irQQfV/biXMOIenoZDc7UD+PTyl78j8RcpNoY259rBoGftksHEXvEpeBPfUZQQgbCUrIdWhuZ6z6gexD/X0oR7rXNeFwo3xstkyKxyB6bFtc6BUT3+iTo2sn8OUTnnTdzN0pbA8YYKJycEWkEXfWYgbBxfhGLRqO4+1XNzEukwrFVrVuNEjlxyJ3xtJdb3tnmg/y9sWFui711UMHfAfAva8dvsktQ3NqO2tpaAfesrCxkZGRIGt/6+nr09fXJRiAtLU04f0oD9jsI/kE9g/heVqVEIaVbsnp6Fw1iBrQiif7j5HybE/twzeKGPym/FDWtnfsNJZdccyn4czfT0NGDps5euyvPBW1sTYf3yxvxL/kNAvyeFMqXMfzfLWsX0d+UTg9uZDzpoASCHH3UwCjC+oaROz4tPv5ZY1Mom5qTuOUB3QMonJgRKYE7pRUK+FMC4A3gzwyY3ADYe6jgbz/4Hytrx9spOQhKSkZCQoIAfmdnJyYmJrCwsIDV1VXodDqRBPA6JQLU/e93mMF/CD/IrsLTrgWPklYeRlfpw1gnZ6T0fRSdjOyy2v2GkkuuuRT8uSBzA8AoRvYe9HNPHBrHj3OrcbN1yqMs/OmGSK7/H3OqEN4/gtU3LBb20siV9xHMqYbIm5jGk+4B2QA87R7Aw44+c5TAnkGE9A6JVMCdwM82Eyhn5hfEUtaRMeZK+tnybBrGDk9M272RUcHfEfDvwC9zypDX2Iz09HQB/9nZWVDfr2wsKWEaGxtDXFwc5ufnYTAYYDKZRE2glLHsbxX87euPwwjye9XJGeDv9zwRGSVemNKXk8FeXpcTijrwnxdU4Z3SdkQPrHnM7pnAnzpswM/yGvCb4lqJ5kfDOU882A/UhcYMjiJmYFQ2Y9yQMVtZcM+QiPzZT+4+qFbKq6zH45gUMECOJx+ksW9EgiTCIsjYc6jgbx/YmK39qfOvQbdmETMzM8jMzJSTHL7SHwR6SgOoCqD+v7y8XNQAlAzsJgVQwd++/tgLaA/j/46CPyP8MQR+npOj4Fqzfric86dFNhdpew4amaWNTIrBzJWmcY+K5pc8bBD7BMYkCOgZFKM4z4R+c8/R8I8hfcnl07AlfXQSycPjCO0dwsDymrTPnj525B76+WeWVsNX/PxfpvR15JkHdS/B/zb9/FVXP7dv8C1d/bjJJbdPrr+yslIkANT18z+K/isqKlBVVYX29nbQDqC0tBQ1NTXblv/sx7W1NSwuLmKaC3tnH76fVamK/d3svumujYIj4M+xYjStY3xmDrML7l+/XAr+FMVmlVUjv8r2uMUESkbz+7C8ET/Pb0RI77LbFwVHBlDsoBZvl7Tj7ZJ69Hg4V0pApNRieGUNYb3DAvrcAET2jyB7bEqkMwdhykDL+OzyWkmFO7/o+UF+HoTHIyG3xG4vD5Xzt4/TtAR/xtjgokxunwDe0NAgnH5HRwfGx8eF4+/p6ZGNwMrKitgDaDQa2RxwnvC+4eFhFBUVIbOoGJfzS/G9jLKDBX8mPtsr+dle/1sL1iNGpA8bwFgme70jTblu7TM9qJwj4M/xwrFGmyVFuuRO5sOl4K+4+oUkZdncJoJN5tiUWPjfbp1CwpDeY8CfMfwDuhfwPxILEDUwJqF8bSbAIbyBov2iyRnh9qMHRhHaOyzqALr6HcTBOBKMjsXEUUurawdRBae9k4sAN8k0kOV3ew4V/J0D/grt2Q8EePr0p6amCvBTHUC1AN0Bdzu4iHMzwM1CblkZTqVk4e9Tiw8E/NNHDEgZ0CKpdxnJ/atIGzavoQRqfk/pX0NS3zJSBtZeucbrAua7gDCfyXuV6wT22I45xHXOg993MkwsF1o7JO/fec0bfjsK/hxDHGf2zvndxqC1/22Df/iXMOQ8wgujjpV54+3/2xtLMBWtAyl9Z3QGfFnbhh/m1OI5B66jO9RdBrKrBh9tE94v78RP8iokIQ8XZW84CPKMshjeN4InXQOgxT+NAd1t6KfQku+l2IynI1byyvMO+lNvNEpb7K2HCv7OBX/2A0GeVv6Dg4NISUlBTk6O/N5vseY9tA+YXV3Fo9Zu/ENmhdvBn9x4dOsMPr/7DO+dv4GPvvXFzfhCpA3pkdy3gidFbfjdNz44dvEWPr3xCE9LOwXUE3uW4Jtdh+jW6V3BPKJhDOcC4pDUuyIbgKS+FdxKLMb9tDLZSOxcU1MHdfjg63sIqxt6bWOws6wn/nYE/DmG6OEzPb+AhQOQDrsU/LmYxecUI7mgzKb1jETJGJ3C97MrcL5hBAlDOo8ZODT0u9M2jb9KL4NvZz/mDfbZO9hEMDcVViz/88enETswJuoM/ucdWxs3EdGFr1HB3/ngz+4iN0+f/pGREdH1WyuipaQssHvwQFz9EroXcSUyA+efxQvwRjSMIKR6QET0j4ta8eHX98HPyKZRPMiownsXbiGkZhDPm8Zx5kk0giv7kbpD2kqu/356Jf75/c/gl9so3Dw3C988z8KthDwk9iyK6J8bDII+76fk4TcnL+FZeRdSh3TyvyI1INgrZfmpgD+vi9RiUCvXRdrAZw7pdt2QKPcdxKcj4M+1c2llFUGJmSiubXLhyrD7o1/oV2DMewq9cP6P8cKodx7nzx3wxMwcxqdnd3/7Lv+SICumdbxbWo/vZVVJ2t7wvmWJ6sfIfof67FtFRN8K3ivrwHezyjCwsiopeXdppkf8xb6g+oUhhplUSWMwYkqrl/DD1PXTOGpWb5DARXRjpFsmAchdmwFuEulKypN6M08/qMZwxGVRBX/XgL8yrsjN0/DP2uMgrf1j2qbxyXV/+OU1gtw5AZUAmzakw+9vPsG12LxtII5tn8W16Fx89TgKQZXdOOUbhmelXXLdElD5nMthqSJF+PxuIOI65iGbjIgM3IzPRVznnKgYuHHge8Nqh+Xdv/rDGfhk1+JxYSseFbTKPSmDWtk8hNUNS9nwuuEtNcQKuKGIapmCf14Tgir7ENs+h+CqfjzMaRCJBDcUCT1L2/Vj21g3/m9ZX3d8dwj8LVL6ph1ESl/dCoxZD6EPPyWbgBfrRueBPycJF2ie1h4EkMqZefxVehH+W0yW6M3/KKkQnnJSz/8nyQW4394nYGh9y62lkPvK6bl50+rEyt+now8fVjTix7kV+Iu0IvxZSgG+m1UqMa1P1baCNgBtC0vbEQzdUUuK+zv6h1BU2wRa/nvyIdKukipUt3TYNF8s26yCv2vB35LW1nw/SPCPbpvGSd9w3EoqEWAkEJKDju+ax0ffPMDTko5toKQOP6p1Cu+cvYZHBY17gn9UywS+9I+Ef34Tfnvqa5EUWIJ/RP0ILgQm4uOrD0U1cPZpHMLqRvBP73yMYxdv43xQoqgAuIEguN9OLpWNxLmAeBy7cAv306sE5CmV+PzOM5wPTMBvT17Gx9/64qvH0Th+L0j+pwqB74humZJNTUr/Kj64fA9USbgD8C3f4Qzw94lIQFpxpTVDyqllXuiWYUi9LZy/sTgULzYYtOrNiGWVzp81tRX8yWn2iU/5GIJ7hxHeN+pxZ/zQOIZW1g5MF+7ICCGAUI9fO7eAa83d+GVhDX6QU4lfFzXhk8ounKodwNn6IZxvGMLpukGcqO7DsfJ2/Cy/Dj/MqcQH5Y1iE8B0xIxm+OahZH9taVNCYz9GyNIsLdv/oENwJ+cJF4HEPNXa33Jxdcf3ndb+zhoOBwn+NPAjwH945T7OPo1BSHW/cOWRjeP45Jq/qAAU2pJzptHef331Dfxy6/YE/0cFTfjCJ1RAl/YCfnkNr3D+99Mr8LtvHiCqeRJxnRok9iyLbcAvPz0t3D05+EcFLfj8TgD4LAJ4ROMY4jrmEFLTh4+v+eFhTj0+vxuA8PohxHdqcNo/Emefxsp7qLagdOJZWSc+ve6PZ2VdIj14XNiCL/0iREKgtMldn46AP+f8qlaHwppGtPYMOGvYWfccrs0rGuhjLkIfcRqmqni8eGGd9NQq8Kcodn5xGXM2uGFR1EyOkxNnweCZJ+MTHJQFvHU9v3sp/camBCMK7h3CD3Mq8P3sSkmffLdtBs+6FxHWtyyplGMGtaArIw0baYwZ3LuEx10aMBbDLwub8N2scrxX3gCmumQuAFeFNF7bSunrEx4P70jpGy0ZMK3VKe/sRZXzVzl/BfQI6OTKA8u7cDEkGe+euwHf7FqE1gwJ+IfWDL7CJdNa/z+/+gYPc2r3BP9TD8NxIShRRO/kxL99ngmqDK5sif0vh6Xg1MMIJPe/DMaWOqDFW8cv4Fl5t4jpQ6sH8YdbT3ArMV+kAeF1g4hunUBYXZ/8vptagRP3qVKYEfsBcv8XgpOQOWpCVOu0SBQeFzWLLQMlBTFtMzj96DmeFLcj8QDcwR0FfxoqU2rpSEKvneuAVb/XTdgY6xKuXx91Futt1mfetQr8qcOMyigQoz+rKqQWOhAKkDunxKVtYRln6tvxl+ml+K+Sdjxon0X8oM4qTwsaOqYMGxDZtypGmj/Nq8P3s8sR1jcidgHc1Dn74ITJKa8Vzt8b/Pz9o5KRUlBut8+vCv4q+Cvgr3xyExDftSAidureyT1/9K0Pgip6t8FfOP/2OQF/v7z618Cf1+kW+Nbn5/D7m49wOSxNJAq/v/kY4fXD2+B/MTgJFOGzrPJ+gv+/n9gC/yGdbD4I/tdjs/HzD0/gxIMQUSVwY/GlXyR8MmvwBcG/c1bAn5uNi8HJyBwzifcCn/+0uE3KXQhKEu7/k+t+Yn/AeirvddenXeDPtZA2Spu7u4s6e53c7Xk09jPVpkAf+gUM8d9gY7xrt2K7/mcV+DOyX2B8BkKTHcvqt2sN1D+dRgHaWTRrFvGrohp8J7MCt1qnhMNPHtZbBfzKRJOQxuQ4hnQiDfh9VS/+PK0I11u6xVjQ2RsAuskwPObcwhLoWeLJB7dGU3MaCVNMcaA9hwr+Kvgrc9Hyk/735PTf+uwcQmsH8f6lOyJeV8rQ+C6ooge/u3IfT4tbXwN/Xn9W1i2A75dXJ2X9chvwweW7eJhbL+B/KyEXl0OT8SU5f4sw7HuB/+3EAvEwiG6bEdUAYxEk9i4JmL8J/CnNiGmbxR9uPcXNhHwcvxeI+O5FtwM/6Wcz+FPcbtJjUzOOjbFOvNjcOJAgP5vTAzAk34Q+5ASMhUF4sTJv9ZJjNfgHJWQiLCXH6gerBd1LAVryt2qW8HZxHf61oEFCEscNasFARcriYOsnNwFJlAL0r+Jk7QB+lFOFO229sgEgQDnrIEhyA8DTXlG5s+rijOeYTOtY3yN4jDXPV8FfBX9lrtLVjlbztILn+aS4TTh3GvzR4I7+//QIoHteeN2Q6OHvpJQhpLoPJ+4Hwz+vQUTviT0LUu5SaCruJJeIvp/qBKoJTjwIxpknMeJSSGv/20lFYnhHVYDZ+n5NgP2t4+fNYn8Lzt83u1qM/MJqh6SetFFI7l+RTYZZ7L/F+Qcm4sIrnH8cgiq6JTDRuWfx+PDre/g6PO1ARP42gf/GOmhgRw6bHLexJBwbsyMSFppGvj1Do9ZMccfLcPOhWzVz/c/PQh/5FTb6asxuflY+3SrwNzAiXE0TSuqarXysWsydFCBY0Ljyowrq6atwv31GUiYrC4gzPmkTcLJmAH+dXioqAPo+Ow/+IUaVlCjYyy27k95vepejYT5V8FfBX5mzKQOruBiUiKvRuSCo/+H2U9GTM5pfeP2IfP/iQTAuhSTj0xv+IJBGNU/hedOYiPbfv3Qbn995ii8eBOHM0xic9A1DZOPodiRAvudBZjX+68w1XIvJw+3kIgRX9YEugDTQe5BZhZsJRaCB4X98+Y2oG+hqGF4/Klb7wVU9uBqdA6oO7qaWiqX//Yxqce370i9cvBIYLvjrsDR8E5klOn9uOKgCCKsdkHr4ZtfjFx+dxJOiVtkMKG135+e+nD8ZnQ0TXujXsDnVD1N1Agypd6CPvgBTZSw2VhehWVzC4+gUUV++aX1w+PrmhkTxI9gbEq9BH/EljNn+2FycssrFT3m/VeDPBZl+y9wEqMfhowC5/rttvfjTlCLh+F0VQpmxDxjx8O8zS8UI0Fnifz5nTafD4srqnuFWDx/V964R1RdLjC2/d5F9r6jgr4K/AnzkpCMbxwT86X5HoIztmJcgP1QDxHVp4JfTIKLz/zj9LT678wx3kksRTZVfy5SAMH3raSMQXjey7V+vPJ+flCwwEiBtChjxj+8kQN9OKsXl0FT45TXJ/xTRUxIgtgODWiR0s/yy/Efr/6/D03E9Nh/Pmya2YweYg/6YjRbpOcD3ceOiSDP4LMYNoDcDQxTTjdGybu76vh/4i3h/blS4bEPCVfGn14ccF/DfGGyUNYsG8UxMll5cte/cdvjii028WFvEemcZ9LGXoQ87BUPcFWyMtIkawpbnWwX+fCAX6E0PTWVrC0E8rSz7pXx6Dj/Lq8Lx6n5Q1O+qEMrMcEiPgH/MqZGQzVNO8smnQWlFUxuiMvK9IrY/bWNowGivFEMFfxX8FdBjeF8lGA7F9ARfqgLk+ohRouXROp4ufuTO6Rbok1Uj4J06qJXyvCe5j+L4NfC/nQZ1BGg+U4IHDTPmv8H83J4lsyi/b1U2G5aR+fgMxhUwnwZ5DwGddeE75Hmv5A5gYCIlJ4H5HbRBSOjRiPSCkouDAn7S8jXwF+5ai43xbpgq42BIuQ1D1HmzVX3oCeiCj8NUEo7NpWlsmIzQLCzAPzIe2SWVAP3snXKagHWjiPJf6FbEvmC9oxjG/AAY4r4W1z5D8g2s91bjhUFnNj60AcCsAn+F8zeqnL8NpHV9UQI/ffmPlTWInj+we9EhHb+y4Oz3SSPACw0j+IesCiQPT9jN3VpShy4yzBr5MDJRjP4sr3nad86VO0zpm11kt/2CCv4q+O83B/e6RiAm104OfnuD4MZcKHvVa6//04f14u9PFcNBBPaxrNc2+CflIaWnB5szQzDVJsOQdEM4fH3YSQi3T45fzhPiU7/eUQJTdyXW2krRXZSCofIMrPdUOefsLhfXPVNdGoyFwTCk3YWeoM9NSNQ5GFLvYn2gAS+0yzaJ+5U11SrwpyFWU2cvWrv7lfvUz0NAAVr3N80v4s9SCoXrd8S4z3Ii7PedUgXq/3+SW4f3yuqhW9+wm8NVSEjwzyytFrHZ3AHkw1bq4YxPgv/dkBjEqeDvdvGtNwb52W8uevo1ShIiGkZFakFVwEG2h+D/rHsBfxKfjaScOBjT7glnrQ89AX3w5y9PBfz5X8RX0NPY7vk56J6fgzbyrJz87ZQzis+hMd8Zc13Cv5TvlEKYapKwOTtszuBn58JlFfjT1Y/pfCNSc+18jXqbKyjAwDsP2vvwd5kV8O+cd9vkocjv95V94v/fvrAMk4Px+HUGgxiTcoxR7+/JB8E/Kj0fBdUNdm+KVM5f5fwPEgjd9m4lT8Gw4TVVhNvqsCUZ2Qb/xBwkleXAmH5fDOn2Bf/w02ZgFoAmSG+dsiHgpsDBk9x9zEUY4r4Rrp+GhusDjdhcmsELg9asWnDA68oq8Hckpa8nL+SHve7jWp1w30xARHc8d06Ye20zEjmQIZDX1hlL2v6DiaNo8McQmY4kxLG/Bs69kxm+GLXQ3kMFfxX83TmX1XdZ6Pwp9u/txaZmAhTpG3KfQh99EfqwL3aI/Y/DVBmPjf56bAy3wjjQhNnWcix2VGNjpNU552g7Nid6hMMXwF9bFI8DaxP3vGn9sQr8yZmFpmTjeXr+m56nXncjBeje953MElxtGnd7uuSQ3mX8oqABN1q6Qbc/9XAeBVTwV8F/P0CmQR79+hO6NYjvnhd3OjG0c2nKdEYHXBVjPrru0b5gp+HgfnU+7Ne2df7JBUgZmZCofeSuN+dHsd5VBkPGA7Mon6J3qgJCjsOY5YfNhUlsmoxYXlpCTHoOqhqaxS2QroGOn+vm6IGUrDrA4e+1MlkF/tT5M3iB2wIY7FVb9f9XKNCxuIw/SsoTkb879P2WEzi6fw0flHfi48pGzBscj8pHtzh7XeNeIcoh+EHRvyNzVQV/Ffwt59rO77TcZxz+//rqWxy7eEsC5DB2Pt31dpZ11m96HdD1j0l4aJX/vHkStNZ31vMP+jmvgf/2OvIC5LQ3l+fE+M6Q6WPW9VP3H30B6z2VL139IhKQfgApfberauMXq8CfixnTrnqDSNZG+hzq4q0LS/i/4nIQ3LMERuNz5wSiS+GJmj68VVSDOb3BITqZ1tcxMDaB+vZu0L7Ekw/OlbKGVrT1Dqg6fzePyaNi8Ecun8F8mOaXCXFoNPfJdX/ciC8QbjxtSIekPkYFXBKXPXLoBOyUQfrXLyC5b0ncB5X1giBOH3teoxEe/2d5eg4k9S4iuW9Z3P8kFkD3goTvPcVgQQ1j2xIAGuwp7+RGwfxOI6QuvctgsCJKLJR3yvVDoOtX6rM3+JMr2TQH+TGsmdUBvdUw5viL1T0j/K2vaDC/sAhfpvT1NvDnYmzmZryFN/NkeHlZ92bNEv5bTBbC+5a3J5UymF39SZe/M3WD+Of8Skn487JWtn+jWqmguhEBcWlYXF6x/QGH6A7OEyWxD7/bc6icv30b2SMD/j1LEo6X2fAI1vTfNyfjiRPA9smuxdmn0eJG55NVK9cDSjskWt/5wHgwIuCDjCoJ0sPYAX55jZJRjymDGeufMQOYhveb55k49TAMV6OyJbXv46IWCRvsl1uLtz47g28i0+Q3VRB3U8vlGecC4iTdL2MLMAIhIwQyG+H9tErJNEgXRAI/3/swp+7AIvrtXB/3BX/LSSzhfelzb7YJMJZHYX2yD0vLKxKnpLyh1bL0of5uFedvjsCml5SFh7o1R6xyLZol/J+x2cL57xzMrv7NLIFf1PTjl4XVDoM/jf0ySqrgPSl9o9SUvm7m+jnejxr4E3CTGfO/dxknfUIl1n9Y3TA+vvYQ/vmNEuzn3XM3RUTPsL5f+kcgoLQTPpnVkhPAL7cRD3MaBLT98xrxuKhVMgUyjDClCicfhuNRQRMCy3tkQ8CMfdfj8uCXW4dffHxSEgA9LWnDzcRCyej3qKBZNg98PwMO3UwsxgeX70jIX15j/H5uCCgNYAhh/qZ0IWPU/vwjzlrnrAZ/BWOo2jPqxPJ+Y24E6yYTNIvLoLGvpxxWgb/BaERsViGS8ss8pV1Hop50s/vvCbl43KlxWVS/vSZX7KAWH1V04/3yeod1/uLnX1ItYrNZ1c8fKuevcv57zTv+z0h6Xz2OxuXQFDwpasONuAL8+/EL8M9rwrfPs3A5PE3UAQyzywA6PlnV+OJBCO6llUvwH3LlDMPLZD7H7waJFCB10Bz9zZclHgAAIABJREFU725KGT67E4ALQQn4NiobTO5D4z5y7HzG7aRikRgQuENqBkTlQICPap4UCUNs+xy+eBAKgv3NhEKcC4gRLj+uYw7XY/MkeRCz/t1NK8fZgNhX1A/7tdnV12wGfyIMJXubm5LRj1I+iYJrp7TvIADLKvCnHjY4MQvhqp//QfTRnu/sWVrFX6Yz1e4EkobNoTNdPUmU5zPO/68Km3CpsQMLDlr7056kf2RcdP7cCHjywUWgoaMHvcOjqs7fzdz/UeL8v3oUhc/vBuB8YCzePnUZT0vaQa6fGfqYopci/DNPovHe+ZsgoBO476dXmHXxo0bZCDAPwAeX7sI/v2lLz28UScDxe89EQvDJNT+cfRIjRn5ULTBLIMGf4P27bx5IrgCmFj524YaoCRRx/oXABNxOKsG12DypnzkksRbBVb2SmIgbBW5SHmRUmr0H3DxOlDXM8tMu8LdYqAT8Nzftjupp8Si3fbUa/AMTMsCY5epxeCgwsqYVg7vfVXSBnLjlYHb1d7/OefwwpwphfcNYMTnm588dM41JeW5sbB4eAttZE0rKmNbX3kPl/FXOf7/5S87/zONo4awJvid9wnA1Ohvh9cMC0BeC4hBQ2oqgyk4EVnQgtn0GFNnfz6gU8KeYnVIAgv+xi3eES+f7CN5UBZz0DQU59cDyblyLyZGUvbTyZ/lt8L+yBf41A3jv/HWRBvAZ1OUzY9+txGJci8nF+cA4ifvPa89bJmXTwOdeCEoUyYES73+/9rrjmiPgT+Dn2jUwOoGp2Xl7p73b77MK/Jl4JbmgDGlFFW6voPrCvSlAK/tvmrrwg+xqBHQvuBX8T9UO4vvZFaie1UDvQO76vVvnuVe4GDhyqOCvgv9+gCfg/yQG9zOqRGce0TiO//zqG/hm14qo/nJY6hYYG5E+arb0p6TgXnqFOWnPoA7X48xi/09vPBajPFr30xqfGQG/ehxlTgA0bJCNw424PFwKTcGnNx69BP9vHiCsdlg2HO+evy5uhlQP0FCQqXypgqD3gSX405Dw+P0gyf53LiBWNgXccOzXVnddcwT8Nzc3sbC0gscxKcgtr3Vk6rv1XqvAn41bXF7FgodbYruVsm54mXZ9AyVTs/ifqUU4UzfkFnc/LiZMGfzTvAb8e1EtFg0m0VE70lxy/uSUeW44GCrYkXo4616qyRxJf62Cvwr++4Eewf/s01g8yKgWa3+62V2JSMe5Z3FiSPfu+ZtipBfXMYvIpgkk9CyBBn9mq/15hNYM4vi9IPhk1pp1/4+j8LxpXNIAv3fhJu6klEpKXoI1pQnU/5OL/8OtJ7idXCIBhqjz982uQ1BFj1w//ywBkU3jogr44Ot7CKsbwe3kUlwIit/m/Cn+p/fBz479QcT+3HDs1053XnMU/DVLy/B7noiMkmpnLSMuf45V4G+2a9j0ioXZ5RR14wvWN19AYzDiV4U1+LfCJkm446p0vspEZFrfmy1T+E5mBYJ6hgT4HeNzISKzxs5ekSwxxK8nH+T643OLJVeBvRIAFfxV8Ffm226fBHufzBoBegIo/erD64aFa6eBHoH6C58QnA2IAV374jo1Av7vnLkqv+nqR7E8y9IokJuC0/4ROPM4Su6NapnCw+w6kDs/5Rsq9gPMusd7KP6nhT7dDOlOSGkD/f/PP4sXicFp/0jcTCgS8T/F+w9zarf1+jQa5LN//uEJMVTcrW0H9Z8zwJ8uvlllNR6zfFkF/mwNdbGMwa4eh4sC5JpThifwg+xKXGocFcM/VwX84cYiemAN/5zfiI8qmtCz5ByffEnpW1qjpvTdGloq+Kvgvx8ImgPwrIjLHEPtsmzqoFZObgwSehbFCj+0ph9RLZPiS0+dP8X3/C+iYUTK8F6K3eO7NAivG0JY7aAY80nAnt5l4fpDawYQ0z4jKoHk/hWzOmArABCDAjE4ENUF3EiE1Q0hsnFU3A/FQ0BiEKyYjQxHjLJpoKvhH+4EyKZjvza6+5pD4M/U6jo9qpo70NE/fLgAYp/aWAX+BP3x6VmMz8zt8yj10kFQgFz3jM6Ai42d+LOUEgT1LMFVoX4Z1e9M3TD+NLkQ2WPTTtP1e5uf/83AKMRkFtht+auCvwr+bwS/PXXlZkBXJALyOWLAhaAk4eZpYGf+76WunRsAicpnEXFvt/+UjYbUbWvjoOjst8tTlG9Zt63vlBYwXgDdCOmeSBXAG9voRi8AR8Cf6z6lfAyDz9NTDqvAnwZ/TOrDHOXqcfgoYNzYRN3cAn5VVIt/zm9AQPei0zcASUN6kSz8dXoZ7rT1YkKrE79WZ1CDOvKi2iYEJ2V6vF0JFwF6xdDwRxX72wfi9oLCUXH1s5U+BGbq/l0Z+/9NdSL4M5IgjRTpEWAZ6vdN97rjuqPgz3WQ891BW19nLKdWP8Mq8Den9E1HcGKm1Q9WC7qXAotGEypnNPhuVhl+W9yKMMbTpj7Qwd0zRf2JQ3rcb5/Bd7Mqcby6BeNrOqdx/aQSY/srBqUeH9ufkpj5BWmPCv4q+LsDuKx5B8H2IN3qGIaY3D6NFakSsKbO7izjKPhvbr4AmWS6+XrKYRX4c0E2+/lneUq7jlw9Kf5fNa0jeXgCP86txM/yGvC4SyM2APYYAXLTwPsYP4C2BFQpEPi7l1Zg8gKL/MM8QFSxv32bBpXzt49u7gTZw/ouR8Cfm3zaLRXVNKKjb+gwLy2v1M0q8GcEttq2LtAiWz0OLwUIGismE8qn58UN789TS/FV3RCimIfbUg/3BmkAgZ9W/U+6FvDrohb8aUoRbrf2on95DYaNDa9JvXtYe1IFf/tATAV/++h2WAHZnfVyBPzpCj+/uIzH0SnIr6o/rMvKa/WyCvwp0qDo39NDr77Wei/8gxKABYMRzPh3qbFTovD9oqARZ+uH4d85L+6AFOMT3FO2Tn5PZoCOQR1Cepdwq3UKH1f24Ic51fhNcT1C+0YwuqYD4wq44qDYf2JmDtPzC6ICcMU73PnMsalZjE7N2G38o4D/36QX4z9L2qXPnvevIlI996UBA129XdKKXxfVYHBlzWldvmw0iVvrD7Kr8LTLvcG03AmAR/ldjoA/PeG4fvlEJKC4tslp487VD7IK/JVKeJIxg1Lno/pJDp1GeSkjE/isugV/m1GGf8ypwW+KW/B5dS++bhzD7dYp3G+fxrXmCZyrH8aH5V3414IG/H1mBX6SW4m7bX2ontFI+F4CkqsO+vYn5Zciv7IeHq/zf/ECeZX1SMgtwcqa1i6jP9J6Rm/AdzJK8FdpZdJn7Df13J8G/1rQKGP3t8V1GF7VOm24msF/EN/LqoBPxxziBnVH4owf1ILnUWgvXZj9Omfxx8n5smbaMngI/iOT0xLkp6VnwJZbD7Ss1eBP7l9ir6v63gPtMFteTrw2bm6CYYAb5xdxt60Xb5fU4ntZZfib9BL8RVox/ldaEf46vRh/m1GKH+WW4/PqZsQNjqF/eRVc9DY2X7hczD+3sIQHYfEoqW0Wf1lb2njYylL/V1TThKexaZie09jl7sfYDUtGEy42dOD98gb8rqJRPa2gwYcVjfiksgk+7X3i/uqsscF5ENgziD9PLcYvCppxrKzL68/3y7rwSXE7PirpAL97e5vfLevEr4ua8UdJeUgdmbBp6HC+kmkh90/DZU85rAb/0alZJOaXmsWZarAfT+lfAW4a6NEYcFZvwOiaVoz26ucWUDEzj7LpeYnPTzVB/8oaJrV6URvo1jccDttrLZEmZ+dxwTcQvUOjDiXEsfZ9rixH8O8eHMGjqGQMjk3alaiIMhZuurhpo2fFuFY9raXBpFYn45fur846OBdKp2ZxrqEDx2tacaqu3evPL6pacCwsCR8l5IDfj0KbT9a24Ux9uzBKto4d6v2pvlz3IGy0Afxn8PB5IsoaWsWlwVbiqOUPBwUIThQrGzY2odvYkJOJebhB4A7WdcL9vds/q1lESFKWJMeghMmTD9aexj8ldc3CCXBRUA/PpgDDaFMSw41z3/LqkTg7ZjW4E52M4LwSdMxpjkSbyfwwU6qtWUq5phL0uX560mE1+DNxQVRmASLS8rDi4fHXPamDjkJduWNeXl2z20DusNGICwE9ZEzrqmfEYesbtT7WUYDG3QFxacgsq4ZWr7fupiNYisBPkX/fyDh0BoNHUcBq8GcAg+buftHNcqFWD5UCzqIAJxA5ZH56w8F2KKc3tEdtw9GjgAr+1vU5g/o0dfbiQXicqMStu+twlLIa/JlqlVbZtGo0mEyHo/ZqLTyaAhxTTBO95oWSJCXi19ScRgxlPbqj1MofOQqo4G9dl89oFhGUkIHItFxQOu5Jh9Xgz0Z5G4fmSR3lbXUlOBL4kwvKUNbQ4m3NkwyY7X1DCE7KAjcAnqYP9LoOURtkEwVU8LeOXK09A2Air7beQY9zU7YJ/BVycBNAPa1qzKRQRP20lQIcP1XN7bgfFgdOIG87qPcn6J/3CURhTaPYAHhbG9X2eC8FVPC3rm/HpmaQW1ErMf2Ji5502AX+dM1KK6rA6OQMKLpVD5UCtlCAk4T+sLeDopFeXIklL7QhYRu5gLJ9fs+TMDwxZQuJ1LIqBQ6UAir4W0d+GvZqdXqPZITtAn/N0grCU3MQmZaH5TWtugGwbpyopbYoQGBcWllFfG4xhsanPMo31pZOZG7vselZCflJKYB6qBTwFAqo4L93TzGiH+mzwTwnHsbtW7bKLvBnpL+6ti5ceRSKyqZ2j0pjaNl49bv7KcC5wgkjE0ir84pY/ntRkUJASsbMbn/rUoxt9+D1Yq+mqv97GQVU8N+9QzmfKbXMLq8B45N4si2PXeDPBYzufuWNrWjo6PE4/8bdu1X919UUUKJgKbYiElToCCChGfDN+kC6zFIioB4qBQ4zBVTw3713FldWkZhXIowv1d/KWrZ76cP9r13gzybRYIu6DgaAUEIacpFTD5UCOynAccFAGPXt3aIDZwS8o3YoNIjOLEBlc7vMHXW+HLVR4DntVcH/9b4ymdaRXVaDuyExqGruENG/J89hu8F/J2moCpiZX5BFXtkM7Cyj/j6aFCDwM0DUjYBIZJZUi77/qFGCiwTnSEZJFW4HR6O0vkV+e7LY8Kj14VFqrwr+r/Y2+VriWmVTmzAxZHw93djdaeBPEcjDyETkVdaBgQ/URe3VwXOUf3X0DeHa0wgxEKWezNMnjb19yQ0AYxukF1eJ2FASGa2bbQHsfaZ6n0oBV1BABX9InhPimKVof3193eOTjynjxWngz8FC/f+twCg8iUmVjGaeLBJRCKR+2k4B9rtl39NAhpnuGAGLxm+W12x/umffQX0/NwD9oxPQ6g2ysJAeDHp0lOni2b3qfbU/yuBP5TXzctCrLae8FrVtXdtzk3PUW+ap08CfIpEVposdGkVWaTWmZue3iUTLboPkhvee+O3eN90daxHBi2LthaUVAfrOgeHtdLacSOx/7qBVqxAIXag/FHq8gGTJbO8dBCMCzmgWoDcat+eOY72i3q1SwD4KHGXwZxj7xs5ePItPx6PoZFS3dL7C/dtH0cN3l9PAX2kaDQGZ3YgJD7jQc5c0Pa8Rl8DRqRmJ425p7czrFAPTZ5IbiJ0iYbmuXNvYFA5JeRef/8q9O/wulWfLc5lycUfyGP7mxoTXebK8cvA7ryvXXrt3y13N8vqr95rTPPI667jz2Zbv3dlmipqU6/zcqUKxts18906O0tzmLVrb0WZp7/qGWKyzbspBvX5dWzeiMvJFp52UXyqAb9lupaz6+SoFllfXkElbgKBoCQdc3tC6JSF5GVKbc4bnzvHw+hzYZaxtjWPOMWePh+15u/VspWU758/uc+DlOOS4VA5OQ9bTcg7sHEd8nsytXeaXzB/LuWsxr/kOy3m9a70s75W5q9QMMhdlDmy913Ju7t7ml/fy+va9spbtbPPL9Yhtt2yz0s9Km19bjyzoxTKW9bKnzdvgX1otOV22672V+ltpFev4ynpk0Y8sI9e31lgZuztSdr9pPbLs59fbbEmvV9vM91r28273EqvIlNADh5tx5ZhbWEJgQoZkseWGnPPTsi+Ucp7+6XTw5yAloRRicdAQFK74h+KyX7DspAbHJrc5QDEU1CxgfHpWAqLQaJAdxYMDmKAi16ZmQbsCdoRynQNjfmlZ8qYzmMrEzNy23zjfz2czuAqvjU/PSZ51y40HI8tNzM5vXZ99JXUly80vLsk13k9dNUXWysHJwfrwGk+KtpWDg5wuIco1bn44wBSaKPXabrNmYfsa28adJ9vC+/kO/lbazE/Whe3h/byutInP58aL7+O9vE4RM/tAOSjK4r28znfQcEU5OBn4bKXebL/ybJZhAh5eGxidQHvfIBjaUjnI8YelZEsa0IaObnmvUmeljPq5OwXYP5SacaFh4CyqzdgX7E9eY39SkjIwNin9vaZ7OR44BzhnlD7leFf6W8aD3vDKHOC45PjkweuaxeXteydm516JT84F8dXxsLz9bN7POivv5Vji3FQOSnvmLOYP7YA47vlOHlx0lXvHZ8xzU7nG+jEIlOUcEBXJ1r1ss+W8prSE9OLBZ3BuKtc5XllPZSzyOr1NlDHOcpapWCl1UeYPy3D+8H3Ks1e02u17lbkpFwFZH8xzc2st0yzI/OE7eZIhkvdOmece+0KpF9vMOaS0mZ+kkXIv+1TWmynzWkaAsmwz2yjXt9Yj0oD38pB1km2empH3T88vvBKbhbS1vJdtXtVqZS6nl1QKLcm4jU3NyneWV/ZTsn7L+DO3mbRT2sQNHNcXadMu6zfLcY2xbLNlm9h+1pU041ih2lAZ22yX5RjhWsc2K8du67fybPO9axJWPL+qXuZcaV2zcquMUwav4/N4z86N1HZBD//idPDfSQ8SjuDFfMc1LZ0oa2jFtEW0s9mFRYSl5EiM97shsQhJypIFiAOXHc37GP+d1xgmtbq5Y3uXxsGRWVoNn4gE3A2NhW9EgoAu71UWCOak5r0PwuNBblTJIMfBS5crGineC42Vd/QOj21PNpZLyiuVe/ns0OTsVxY3Lsb+z5O27y2oatiebFxAOKh4H8/AhAyZXMqk4MQNTsyUd7Jt4ak52xOGG4y69m6pF+9lmxs6e7Y3HhyMdBdje3hvQGzadpu4gAxPTMv7eO/90Dihj85g3O6WrLIauZdt5rO7B0e3r3EBIfhIvUNiEZ9T/MqEYvIK0pjns7h0ic2v3My+4ERmf7K/CRzK4qOUUT93p4Ay1rnYEJhIQ4V2HA9NXX0igvQJT8Cj6BS09g5sL/ykO6UtynjgWFP6m/Onf2RcFnH26YOweORV1stGlDXhO9KKKrfGQxweRSWLrY5SS4J5RGru1niIkfljuVmkjY9PeLzMAY4JBvxSDs6fmKxCucb5F56SYzYE3gJSgqQy99guekEoCztBsqSuCb6RifJulusZGt3eiHIjzXnNMcx2s/3Lq1p5NedA7/AonsSkyL33QmJR29q1PX/4jpSCcrmX9z+NTZU5o9SbG6mAuPTtOUCdL2nMg/OXc5H3kZ7+UcmyCVbuXVxekexusl6Fxsq8FoDf4kIJsMq9bFNpfbNFPxqlb3wjzWsZr3NTxHWMayifw/fRzYxtTsgt2Q6LzeutPf14+NxML9aNG0nSgn3MzU1KYbncy2ukneUaPDg2Af8o81rG+uVW1AmwshzvY26KO8ExshZyYzo8PrU9PrmWcYw8CIuTtgXGZ2xvWgjAXQPDMkYs129uGHjwk+GvuX7zvVyPOOZYZ7Z7cmZe1smX63fZK+tRWX0LfCPM67dPRLyoG5W+4DhNyCsx92NorKxrK2s65bLMC667rDvnQGf/8HabFKkT+1vZ5Gzf6EVfXA7+pBUHJycdd4xc4AiOysHf3FH2jYzJBOcuTxm0/GSHcQHj5GcoWMsdLxdGDhByorzOTw50Dh52HBcJ5h/gNW4iuIvkfzy4J+YCRCkErxP4KQlgZ/NkOXIFvMaTE1fZOPB+TkbWR7mXz1IOLhbkepR72T4OatKBB9vMe/lOnmyzsjEguPPZ5PJ4P8tRqqDsWvlppte43DswOrnNrXHCEMC5S1fqRXpxMVUO0oC06Bkew8DYBJZWXnJrrBfbqdRbuCK9QblV6sG+4P0jE9NiEKNcJM15qodjFNhJRy6gBDZu6kh3fnJ88H8enAMc47zGscTxoswvzh9yMEzDzT5lGW4uFDDj/exj5V6OJY5T5VAkUMp44NihJE45yInxXl7n3ONYUw6WI5BynPE6OTMuyNtzYIsh4HUaP3Lcsb48CArcSFrOAdZF2RxwDrBNbC/fz/Yr3DvnADlXpc18N38r84cLu3lem+cey5G+ysH2s65Km80SC7NUgXWn5Ey5xnwNlmlc2T62o8+izWyLeT2iRIJMkJkeXHdIn5f9aBJA5pzk83mdMVTMAEQpprnNvMY28z1KX/D5XG+GJszrEctwjJAWnJJsO9tMeyxeIxfNdUI5yEFb0ouSFF4n+KcWVch6w/t4jkzOyDqgzHW2meuNMg64Npnfa17z+RxlfR4cn5R+VfqCn+T62f89Q+ZxwDaZ6bUpeKGsZXy+2MNYMDKW6zfpynYoB8eDuZ8t1m8LyQDrxXdzg8Vxy3YctcMt4H/UiKq2V6WASgGVAp5MATICBP/MsupX1KGe3Ca17q9SQAX/V+mh/lIpoFJApcCRp4AK/t4/BFTw9/4+VluoUkClgEoBmyiggr9N5PLIwir4e2S3qZVWKaBSQKWA6yiggr/raHtYnqyC/2HpCbUeKgVUCqgUOCQUUMH/kHSEC6uhgr8Lias+WqWASgGVAp5IARX8PbHXbKuzCv620UstrVJApYBKAa+ngAr+Xt/FUMHf+/tYbaFKAZUCKgVsooAK/jaRyyMLq+Dvkd2mVlqlgEoBlQKuo4AK/q6j7WF5sgr+h6Un1HqoFFApoFLgACjAKIOMhqdEQmSEvZ3gz/8YkY+RAxkBUYnUeADVVV/pJAqo4O8kQqqPUSmgUkClgCdSgCGIO/qGJP9C1+CIhPYlyDPvARP78DvD4bb1DiAqo0DKKuHIPbG9ap3NFFDBXx0JKgVUCqgUOMIUIBfPOPdf+4fgyzuPJYlZ/VZyMSb3qm3tlGRhx2/4SVIv5hVQOX/PHzAq+Ht+H6otUCmgUkClgEMUIGfP7HYnbvjhD1d9ZBPw2TVfnL77BKfvPMHvv/UBfzPLoV6Spzn0OvXmQ0ABFfwPQSeoVVApoFJApcBBUoBZA6nLP3s/AO9fuIV3z93Ae+dvyvdj52/K9yuPwiTboJLR7yDrq77bcQqo4O84DdUnqBRQKaBSwKMpQECn4V9KQTk+vnIP75y9jnfO3sC7PM/dwIeXbqO4pumVVMAe3WC18qqfvzoGVAqoFFApoFIA4AZgbHoW1wMiBfwJ+jw/uHgbVx6FSt77jY1NlVReQgGV8/eSjlSboVJApYBKAUcpQBe/jOIq/O7ru3j3vJnz//zaQ2SX1Yj7n6PPV+8/PBRQwf/w9IVaE5UCKgVUChwoBcj9942M44JvII5duAnq+795FCbeAKb1jQOtm/py51JABX/n0lN9mkoBlQIqBTyaAsurWmSWVIuen/r/tKIKbG6+8Og2qZV/nQIq+L9OE/UflQIqBVQKHDkKEN55MpLf5Nw8LvgG4W5ILEYnZ8Qe4MUL8/UjRxgvbbAK/l7asWqzVAqoFDjaFCCQMxiPaXMT+o0NrJrWoTEYManTo39lDa0LS6ibW0D59DyKJ2dRMDGDvIkZZI9NIbFvGF/FZ+JaTgnieoeQMz4t1wonZ6Rsxcw86ucW0L64jMGVNUzr9FgwGrFmWpd3rW++UAMBHfLhp4L/Ie8gtXoqBVQKqBSwhgLkzDdevIBxcxO69Q0sG00YX9OhcX4RKSMTeNI1iCtNXThR04pj5Q34VWENfppXhR/mVOD72RX4XlY5vptVjr/PLMPfppfgr+Jy8TfJhfjbjFJ8J7NMrv1Ddjl+kF2BH+VW4Gf5VXiruBYflDfiVG0rrrV0I7BnCJmjU2hfWMKUVo8Vk0k2A9yAsG6q8sCannRPGRX83UNn9S0qBVQKqBRwGQUIqtr1DUxodaid0/z/7Z35d5vVmcf/lPltfplOaelpG1oKZWCgLVlIsxAgBYYSICnQQCDNNmlWUhIgCUkge5zVSRzvcrxKsi3J1i6vsiXZkmwnzmI73neH75znBvd4choSSX5l2f76nPdI1nuX9/3ce8733uc+97k4UteI/yl14JmrJfhllgFzsorxpK4Uv8uzYqnejZWWOmxyhvF55XXsq7mFb7ztOFLXgWP1d3DS14kkXxdO+zpx2t+FU74unKjvxLH6Dhyua8chbxv21tzErsrrWOcIYYXJi8V6F57PLcevskvxi0wj5mQZ8EKeCSstLpxraEJFRyduDQxheOwuBwCa9YLICqb4R8aLqUmABEggIQiIaV1M+b7uXpxvaMYmZw3eKHHipUIrlhlcWGnxYq29Edvczfiq+ia+9bbjeL0IejfOBXpwoaEXFxv7cDnYj5TgAK4EB5AaunelhQYx8ZLfr8gVHFBpJY/klTLOBnqQ5O9WAwcZRHxRdQNbXE34xBbAO6YaLNU7sbDQirdNLmxxe5HZ1Ipwb78arPCMgKnrShT/qWPPmkmABEggIgLKIe/uXXQOj6CuswdfVQewxGDDs7lmzC2w4cMyH/ZU3lAzeZmxJzf0KcHOCA8hu2kYOc0jml265hFVh9SVEuzH+YZenPR14WBtm7ISvGv24vncMrW8sLzYjpP+EEI9fegeGYEMZPgXXwIU//jyZm0kQAIkEBUBkUdZz/d39WJPlQ/P5ZbiiewSLNF7sM3dgiR/l5q56zQW+WgGEFlNw8piIIMBWSpYWOTCzzONmFdgwbH6IFr6BuggGFWviD4TxT96dsxJAiRAAnEj0Dc6irTwdeVs91SOCZ/aG9Qa/LlArxI2DoxUAAAOqklEQVTWeMzuoxF+ySNWARkAyDPKksGZQDcOetuwylKHp3SlWGawwnSzDQNjY/QJiFOPovjHCTSrIQESIIFoCIiXvJjGT/nDmFdYjleNFdhTdUMJaGpoEIk403/YIEEGAuI/IEsT2z0tymFQdg/ktdxUuxSi4cQ8kRGg+EfGi6lJgARIIK4ExKnvcrAFT+qK8bapVjnWyQxaZtMPE9npcF8GAYdq29RSwLyCMhVPgD4A2ncxir/2jFkDCZAACURFQGLti2OfrO+/VVqjPPVl1jxThH98SSA9PKgsGc9eLcdKi1sFDZK4BfzTjgDFXzu2LJkESIAEYiLQOzqKpEBY7Z+Xffiy/W46zOYjfUZd8zBkAPBZxXXML7TiassNjFL9Y+o7D8tM8X8YId4nARIggSkiIGFzPyivwGK9R22di1RUp1N68V2QeAGvGD3Y6KxRYYmnCPusqJbiPyuamS9JAiQwHQk09vRhqcGG98z1ykt+Ool5pM8qSxmy/v9GSTVeMVjVtsbp2GbT5Zkp/tOlpficJEACs46Av7sXLxWW4/XiGhVRL1JBnU7pRfyTG/uwRO/GggILhsbuzrr2jucLU/zjSZt1kQAJkEAEBCSgz+/zLfhpejH2Vt9C+kxd82+6t+a/2dWMxzOMFP8I+ki0SSn+0ZJjPhIgARLQmICI/wt5ZvzbxTw8k1OuQveKaTyrSbb6aRuuNx5WA3kH2bZ4KdiPLe4WzMkqxb+nFGA+Z/4a9yyA4q85YlZAAiRAAtEREPGfX1CGZcZK/NfVcvwyqxTvmOtwuK5jRlgB5MAgOVXwteIq/CTdiFeNlZibb8f8AjPN/tF1mUfORfF/ZFRMSAIkQALxJSDiv7DIir+U+XCgtg0bHGG8mO/Ab3QWFdN/vSOkDs8Ra0CmBP5JwLj+4xYEOVgoIzyoDv057O3AR9YGzC90qXdZVOTGVneLivi33FhF8Y9DN6P4xwEyqyABEiCBaAiI+C/S25RQijOcnJQnx+Z+amvES4UuPJtrxfO5NiwvroIMBNTRvXXtKhjQpcZ+SPhfMatnNt071U+c6rQIEKTKbRpWp/rJIET27MusXo79PeXvUs8sIYnXWBux1FCB53Kt6pItjP/rbMaRujuQ55V8fy6tpfhH01kizEPxjxAYk5MACZBAvAhMFP+U4IAK8CMzaBF12RMvQXFWWnxYpPfg6Zwy/DyzRH0uLHLjbZMXn9ga1YxaTOtyop6IsRy3K46DWeEh5Tsg/gNyiWjLpb5//9v49/F799+X/yXwkJSZ3NCL4/Wd+LL6JsRxb7W1AW+W1mBegVPN7n+RWYpnrpbjZUMFVpcH1PkE5wI96ll0TfdCFUv0Qop/fHoXxT8+nFkLCZAACURM4F+Jv5jRZQAwLrxySp5YBE77uyFRALd7rmGFyYsX8ux4Itukdgo8lm6EXDI4eFJngYTR/UO+HcsMFWqQ8H6ZH2vtQXWts4ewzd2MnZ5r6tribsZae0jd+9QWxKoyH94q9aplh9/n25Uvwq91ZvwsoxiPpd2r5/GMYjypM+MP+Q61ZPGPilY1MDjj78aFBjmFsF8NGmRwMXGpguIfcReJOgPFP2p0zEgCJEAC2hJ4kPiPr6OPf4poislcrAPJDX1qICCz8EPednxVfQs7PNewwRFSM+6/WHx4x1SHt0pr1XLBMkMllugr8Mcit7rEaiCz9bkFDnXJd/lt/P5SfQUkz5+Kq1UZ75rrlMB/bG3ARmdYWSP21dxWpv4Tvk6cCfQoi8OV0IBagpCBy4OWHij+2vaniaVT/CfS4HcSIAESSCACjyr+44OA+z9lVi2zaxkYiFOgmP3FSnA20HNvgODrVNYC8SM4WNumrgO1t5UHvsQVkEuWDMTZcPy+pJU1ehF2sTZIWTKbv9TYBxH4dLV08GCBv/8ZJ/5P8Y9f56P4x481ayIBEiCBiAjEKv4ThXXi93HHvx/+FAG/J+I/nG7yjham+EfUPWJKTPGPCR8zkwAJkIB2BLQS/4kDgUT6TvHXri/dXzLF/34i/J8ESIAEEoQAxT9BGmIGPgbFfwY2Kl+JBEhgZhCg+M+MdkzEt6D4J2Kr8JlIgARIAADFn91AKwIUf63IslwSIAESiJEAxT9GgMz+QAIU/wei4Q0SIAESmFoCFP+p5T+Ta6f4z+TW5buRAAlMawIU/2ndfAn98BT/hG4ePhwJkMBsJkDxn82tr+27U/y15cvSSYAESCBqAlqKv0T/S/N344w9hJNlfiRZG3Gx6hYyGvpUvH25f87VjBNmH06VB3DW2YR0f/f/i8U/2TECuM8/6q4ScUaKf8TImIEESIAE4kNAS/HPDg3iZFkAn+xPwqZjKdh49DL+uuco9unKkR7oRWZjPz7eexJrD57BpuNX8NFXJ7DrchEyGnrV6YKTLfxSHsU/Pv1KaqH4x481ayIBEiCBiAhoKf4i7gfynEr4zzqacKn6Fk5afFj9xVEcyLMrq8DK7fvwda5N3TthrsdHXx5XFgJdeEiTAQDFP6LuEVNiin9M+JiZBEiABLQjoLX4779qx+YT6UrcM+VgnroO7E414P1dh5BafwerduzHN4VutRRw3n0Naw+cxZHiGmRT/LVr9DiVTPGPE2hWQwIkQAKREoiH+G9JysSVujv/nMl/K0f2/nU9Umrb8N62vdibZUZy5Q0cMVZj7cGzOG0LgjP/SFsy8dJT/BOvTfhEJEACJKAITIX4Hy2uxssf/A2Xa27jzfU7sXLHPqz79jz+9OlW5ReQWt+pmdMfzf7x6/gU//ixZk0kQAIkEBGBqRH/KjXzv1zbhne3fom92RYkV7YiyRrAmv2n8HWunWb/iFoxMRNT/BOzXfhUJEACJKBpbH9x+JM1//vN/gfzHXhz3Q6keDuwcsd+HCp0QfwB0vyd2H4uG2sPnkN2ePCfywST6fXPmX/8Oj3FP36sWRMJkAAJRERA25l/nxL/zSfTlYk/KziA9EAPtp3NxobDl5QfwKqdX+ObIjfkngwAtiRlYN23yZBtgpMp+uNlUfwj6h4xJab4x4SPmUmABEhAOwLai78Na/aJKd+Gw/pK7LyQp/b2HzfVIc3XhRV/34NtZzJxxFilzP8f7j6Mg/lOir92TR63kin+cUPNikiABEggMgJair/M3iW63z8u5+Gzi1exJ1WPfboy9ZsIf1awH7uvFGFrUio+v1KgvoszoPgCSPS/8dn6ZH5y5h9Z/4glNcU/FnrMSwIkQAIaEtBS/EXAxcx/qeYWLniuIbmiFSm17d9H8BtWAi/b/c67W3Ch4jouVt5Q1gBdkzYBfmQQQfHXsDPdVzTF/z4g/JcESIAEEoWAluI/mTP2ySqL4h+/nkfxjx9r1kQCJEACERGg+EeEi4kjIEDxjwAWk5IACZBAPAn4u3uxSG/DamsAKcEBTdbZJ2vWPhnlZIWH8OfSWiwosGBo7G48Uc+6uij+s67J+cIkQALThUCwpw/LjHassvhwOdg/48U/LTSIN0qqsbzYhuG7FH8t+ynFX0u6LJsESIAEYiBwrX8A6xw1WKz34GJj34wWf13zCC409GKx3oXtHi/FP4Z+8yhZKf6PQolpSIAESGAKCPSMjCIj3IofpelxtK4DWRp62k+G2T6WMsTZb6urGS/ml8PQehujd7+bAuKzp0qK/+xpa74pCZDANCMgAujr6sXCojK8bPDgpOy/12iPfSzCHWve9PAgjtR14Lc5Fmx01qK5bwB3v6P4a9ldKf5a0mXZJEACJBAjgc7hEeiaW/HMVRNeMVbijL8bmU1DEDN5rKI71fl1zcPICA/hG287FhQ4saCwDKabbRil8MfYax6eneL/cEZMQQIkQAJTRkCEUMz/+tbbWFhkxdM5FuyuuoGUae4AKEGGLjX2YYMjjN/ozFhmsKGiowtdwyPgnF/77kbx154xayABEiCBmAiICfz24BBKbrRhvaMGz+eWYXlxFXZ4rilHQJk9axVydzKtA/dm+oM4E+jGJmcTFuvdmFtgxa5KH+xtd5Twj3HWH1NfedTMFP9HJcV0JEACJDCFBGQ2LBaAQHcvkhub8arRgd/mmLHU4ME2dwtO+7txqbEfsl1OlgWyp9g3QJYl5Bkyw0NIDQ2oQcoJXyfWO0KYX+jA0zkmrDC5kNdyE7KlUbb2Uffj18Eo/vFjzZpIgARIIGYCYgUYHBtTgpnc2IIVZheeyinFnKxSLNJ7sM4exL6a22rb3FQOAMQacTbQgy+qbmJ1eQDzC5x4PN2I/841YY2tCllNrWjtH8Tg6Bi+o+rH3C8iLYDiHykxpicBEiCBKSYgA4CB0TG0Dw0j1NsHR9sdXAy24CNrFZ7LNeOJrFI8lWPG3AIH3jZ5lWXgcF0HzgV6kBocQHpoUDnayaxctg/KIEGWDX7IiVDuSzq5JI+Iu5QjloYrwX7liHjI245NzjBeL6nG7/Js+HW2CU9kleDF/DJsctWqbYueji409/XjzvCIiuJHr/6p6UwU/6nhzlpJgARIIGYCshQga+S9I6NqFl3f1aO85cUisMNTjw/KKvF6iQuL9HbMK7BiXoEdfyxy4vXiKrxnrseH5X6ssTXgb/YgNjrD+LurGds8LdjpuYZdFdfxWcV15Vew1d2Czc4mbHCEsNbeiI+tAXxQ7se7Zi9eK67ES4VOzC+wY36hFUv0drxZ4lIDkd1VPqSGrsF2uwMSqvjW4BD6R8fUM8f88iwgJgIU/5jwMTMJkAAJJA6BiYOBmwODKkaA5VY70sPXcaw+iM+rfNjgrMFKiwevGO2YW1CmthDOySrB45lGFUxIAgr9Z5oBj6Ub8OM0g/r+H6n3fvtZhhG/yi7Bs1dNWFBYjteKHXi/zIPNrlp8We3DKX8I2U2tsN/uQEN3r3JSVGLPgD2J00m+fxKKf8I1CR+IBEiABEiABLQlQPHXli9LJwESIAESIIGEI0DxT7gm4QORAAmQAAmQgLYEKP7a8mXpJEACJEACJJBwBCj+CdckfCASIAESIAES0JbA/wG5VhSyhpLlXgAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![guide/image1.png](attachment:9147732d-7d77-454d-b18b-34dcf18d5571.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Connecting Our Application to the Real World"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Strategy:**\n",
    "\n",
    "1. Quickly make a MVP(Minimum Viable Product)\n",
    "1. And then refactor toward a cleaner architecture.\n",
    "\n",
    "**Steps:**\n",
    "\n",
    "1. **Use Flask to put an API endpoint:** \n",
    "   - in front of our allocate domain service. \n",
    "   - wire up the database session and our repository. \n",
    "   - test it with an end-to-end test with quick-and-dirty test data.\n",
    "1. **Refactor out a service layer:** \n",
    "   - can serve as an abstraction to capture the use case \n",
    "   - sits between Flask and our domain model. \n",
    "   - tests and show how they can use `FakeRepository`.\n",
    "1. **Experiment with different types of parameters:** \n",
    "   - using primitive data types \n",
    "    - allows the service layer be decoupled from the model layer."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A First End-to-End Test\n",
    "\n",
    "- https://flask.palletsprojects.com/en/1.1.x/testing/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 사전 준비"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 실습에 필요한 필수 패키지 설치하기\n",
    "\n",
    "```\n",
    "git clone https://github.com/cloudeyes/2021-msa-study.git\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: flask in /home/ykkim/conda/envs/lab/lib/python3.9/site-packages (1.1.2)\n"
     ]
    }
   ],
   "source": [
    "!pip install flask requests sqlalchemy pytest | grep \"satisfied: flask\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### IDE(Visual Studio Code) 사용시 필요한 전체 패키지"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# production\n",
      "requests\n",
      "sqlalchemy\n",
      "flask\n",
      "fastapi\n",
      "fastalchemy\n",
      "\n",
      "# development\n",
      "pytest\n",
      "pytest-flask\n",
      "pytest-watch\n",
      "pydocstyle\n",
      "git+https://github.com/AllanDaemon/mypy.git@0edf1233672117c4555759c5a91461a502ddce5d\n",
      "git+https://github.com/PyCQA/pylint.git\n",
      "\n",
      "# documentation\n",
      "sphinx\n",
      "sphinx_rtd_theme\n",
      "sphinx-autodoc-typehints\n",
      "sphinxcontrib-plantuml\n",
      "livereload\n"
     ]
    }
   ],
   "source": [
    "!cat app/requirements.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 디렉토리 구조"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[01;34mapp\u001b[00m\n",
      "├── \u001b[01;34madapters\u001b[00m\n",
      "│   ├── orm.py\n",
      "│   └── repository.py\n",
      "├── \u001b[01;34mapps\u001b[00m\n",
      "│   ├── fastapi.py\n",
      "│   └── flask.py\n",
      "├── \u001b[01;34mdomain\u001b[00m\n",
      "│   └── models.py\n",
      "├── \u001b[01;34mroutes\u001b[00m\n",
      "│   └── flask.py\n",
      "├── \u001b[01;34mservices\u001b[00m\n",
      "│   └── batch.py\n",
      "├── __main__.py\n",
      "├── config.py\n",
      "├── requirements.txt\n",
      "└── utils.py\n",
      "\n",
      "5 directories, 11 files\n"
     ]
    }
   ],
   "source": [
    "!tree app -v --dirsfirst -I \"__pycache__\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### E2E 테스트 구현해보기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 실패하는 테스트 먼저 만들어보기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tests import mytest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "❌ \u001b[91mtest_api_returns_allocation\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"/home/ykkim/notebooks/2021-msa-study/04-flask-api-and-service-layer/tests/__init__.py\", line 75, in unwrap\n",
      "    assert fixname in cls.fixtures, \\\n",
      "AssertionError: name \"add_stock\" should be registered first with @mytest.fixture\n"
     ]
    }
   ],
   "source": [
    "@mytest.test\n",
    "def test_api_returns_allocation(add_stock):\n",
    "    sku, othersku = random_sku(), random_sku('other')\n",
    "    earlybatch = random_batchref(1)\n",
    "    laterbatch = random_batchref(2)\n",
    "    otherbatch = random_batchref(3)\n",
    "    add_stock([\n",
    "        (laterbatch, sku, 100, '2011-01-02'),\n",
    "        (earlybatch, sku, 100, '2011-01-01'),\n",
    "        (otherbatch, othersku, 100, None),\n",
    "    ])\n",
    "    data = {'orderid': random_orderid(), 'sku': sku, 'qty': 3}\n",
    "    url = config.get_api_url()\n",
    "    r = requests.post(f'{url}/allocate', json=data)\n",
    "    assert r.status_code == 201\n",
    "    assert r.json()['batchref'] == earlybatch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`add_stock` fixture가 없을 뿐 아니라 `requests.post` 함수가 접속할 flask 서버가 떠 있지 않기 때문에 당연히 실패하는 테스트입니다. \n",
    "\n",
    "테스트를 만들어 보니 어떤 일을 해야할지 대략적으로 감이 잡히는 것 같네요."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 테스트가 성공하도록 해야 할일\n",
    "\n",
    "테스트를 성공시키기 위해서 이런 작업을 해야 합니다.\n",
    "\n",
    "1. **테스트 환경 만들기**\n",
    "1. **테스트 헬퍼 함수 만들기**\n",
    "    - `random_sku() -> str`\n",
    "    - `random_batchref(eta_days: int) -> Batch`\n",
    "    - `random_order_id() -> str`\n",
    "1. **Fixture 만들기**\n",
    "    - `add_stock` fixture 생성\n",
    "1. **`e2e` 테스트용 Flask 서버 띄우기**\n",
    "    - Flask 앱: `http://localhost:5000` 에서 서비스 합니다.\n",
    "    - DB: PostgrSQL DB를 컨테이너에서 실행합니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. 테스트 환경 만들기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 테스트용 DB 선정: PostgreSQL DB \n",
    "\n",
    "아래 그림처럼 버전과 패키징 방법에 따라 따라 컨테이너 이미지 크기 차이가 엄청납니다. \n",
    "- 12: ~109.72 (일반 Debian 리눅스 버전)\n",
    "- 12-alpine: ~62MB (경량 Alpine 리눅스 버전)\n",
    "- 11.10-alpine: ~60MB\n",
    "- 10.15-alpline: ~28MB\n",
    "- 9.6-alpine: ~14MB\n",
    "\n",
    "저는 가장 가벼운 버전인 `9.6-apline` 이미지를 사용하겠습니다."
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:32ab0992-a4e1-4c6f-a1f9-e6ee035c4858.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### `docker-compose` 로 기존 개발 컨테이너에 DB 붙이기\n",
    "\n",
    "기존에 사용하시던 `micropy-dev` 컨테이너 환경과 PostgreSQL DB를 연결할 것입니다.\n",
    "\n",
    "`docker-compose.yml` 이라는 파일을 다음과 같이 만들어주세요."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "version: \"3\"\n",
      "services:\n",
      "  app:\n",
      "    container_name: microlab\n",
      "    image: cloudeyes/micropy-lab:3.9\n",
      "    depends_on:\n",
      "      - postgres\n",
      "    environment:\n",
      "      - DB_HOST=localhost\n",
      "      - DB_PASSWORD=test\n",
      "    volumes:\n",
      "      - ~/notebooks:/users/smprc/notebooks\n",
      "    ports:\n",
      "      - \"5005:80\"\n",
      "      - \"12222:22\"\n",
      "      - \"18888:8888\"\n",
      "\n",
      "  postgres:\n",
      "    container_name: pgsql-test\n",
      "    image: postgres:9.6-alpine\n",
      "    environment:\n",
      "      - POSTGRES_USER=smprc\n",
      "      - POSTGRES_PASSWORD=test\n",
      "    ports:\n",
      "      - \"5432:5432\"\n"
     ]
    }
   ],
   "source": [
    "!cat docker-compose.yml"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### `docker-compose` 사용법 소개\n",
    "\n",
    "- 참고문서: https://docs.docker.com/compose/gettingstarted\n",
    "\n",
    "compose 된 컨테이너를 실행하기 위해서는 2가지 방법이 있습니다.\n",
    "- `docker-compose up` : 컨테이너들이 포그라운드로 실행됨 (Ctrl+C 누르면 종료)\n",
    "- `docker-compose up -d`: 데몬으로 실행하기\n",
    "\n",
    "아래는 `docker-compose up` 을 처음 실행했을때 합성 컨테이너셋을 만드는 과정을 캡쳐한 것입니다."
   ]
  },
  {
   "attachments": {
    "0d7f3234-4928-4a43-86cf-41a91dca6817.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:0d7f3234-4928-4a43-86cf-41a91dca6817.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stopping microlab   ... \n",
      "Stopping pgsql-test ... \n",
      "\u001b[1BRemoving microlab   ... mdone\u001b[0m\u001b[1A\u001b[2K\n",
      "Removing pgsql-test ... \n",
      "\u001b[2BRemoving network 04-flask-api-and-service-layer_default\n"
     ]
    }
   ],
   "source": [
    "!docker-compose down"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating network \"04-flask-api-and-service-layer_default\" with the default driver\n",
      "Creating pgsql-test ... \n",
      "\u001b[1BCreating microlab   ... mdone\u001b[0m\n",
      "\u001b[1Bting microlab   ... \u001b[32mdone\u001b[0m"
     ]
    }
   ],
   "source": [
    "!docker-compose up -d && sleep 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`docker-compose up -d` 명령으로 데몬으로 띄웠을 경우 `docker ps`와 유사한 `docker-compose ps` 명령어로 실행중인 합성 컨테이너들을 확인할 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Name                Command              State              Ports            \n",
      "--------------------------------------------------------------------------------\n",
      "microlab     /bin/sh -c /root/start.sh      Up      0.0.0.0:12222->22/tcp,      \n",
      "                                                    0.0.0.0:5005->80/tcp,       \n",
      "                                                    0.0.0.0:18888->8888/tcp     \n",
      "pgsql-test   docker-entrypoint.sh           Up      0.0.0.0:5432->5432/tcp      \n",
      "             postgres                                                           \n"
     ]
    }
   ],
   "source": [
    "!docker-compose ps"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 합성된(composed) 컨테이너에서 PostgreSQL 테스트 해보기\n",
    "\n",
    "> 1. **[주의]** 이 노트북을 합성 컨테이너에서 실행중인 Jupyter 서버에서 실행하셔야 합니다. \n",
    "\n",
    "먼저 PostgreSQL DB 접속을 위한 `psycopg2` 라이브러리를 설치합시다. \n",
    "\n",
    "C라이브러리가 컴파일되어 패키징된 `psycopg2-binary` 패키지가 있어서 `gcc` 등 빌드 도구가 없는 경량 컨테이너 환경에서도 쉽게 설치 가능합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: psycopg2-binary in /home/ykkim/conda/envs/lab/lib/python3.9/site-packages (2.8.6)\n"
     ]
    }
   ],
   "source": [
    "!pip install psycopg2-binary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`connect` 함수로 실제 DB에 접속해보겠습니다.\n",
    "\n",
    "`docker-compose ps` 실행시 표시되는 이름이 결합된 컨테이너의 호스트명이 되고 각 컨테이너는 다른 컨테이너를 이 이름으로 접속할 수 있습니다. \n",
    "\n",
    "저의 경우는 `container_name` 으로 설정한 `pgsql-test` 라는 이름이 PostgreSQL DB 컨테이너의 호스트명이 되었습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import psycopg2\n",
    "db_host, db_user, db_pass = 'pgsql-test', 'smprc', 'test'\n",
    "conn = psycopg2.connect(f\"dbname='{db_user}' user='{db_user}'  password='{db_pass}' host='{db_host}'\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "쿼리 결과를 받아오는 예제입니다. Python 표준 DB API 프로토콜을 준수하기 때문에 다른 DB 클라이언트 라이브러리(`cx_Oracle`, `mysqlclient` 등)와 사용법이 동일합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('postgres',), ('smprc',), ('template1',), ('template0',)]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cur = conn.cursor()\n",
    "cur.execute(\"\"\"SELECT datname from pg_database\"\"\")\n",
    "rows = cur.fetchall()\n",
    "rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### PostgresSQL 에 ORM Mapper 적용해보기\n",
    "\n",
    "Python ORM Mapper를 이용한 PostreSQL DB 데이터 조회 방법입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CREATE TABLE order_line (\n",
      "\tid SERIAL NOT NULL, \n",
      "\tsku VARCHAR(255), \n",
      "\tqty INTEGER NOT NULL, \n",
      "\torderid VARCHAR(255), \n",
      "\tPRIMARY KEY (id)\n",
      ")\n",
      "\n",
      "CREATE TABLE batch (\n",
      "\tid SERIAL NOT NULL, \n",
      "\treference VARCHAR(255), \n",
      "\t_purchased_quantity INTEGER, \n",
      "\tsku VARCHAR(255), \n",
      "\teta DATE, \n",
      "\tPRIMARY KEY (id), \n",
      "\tUNIQUE (reference)\n",
      ")\n",
      "\n",
      "CREATE TABLE allocation (\n",
      "\torderline_id INTEGER NOT NULL, \n",
      "\tbatch_id INTEGER NOT NULL, \n",
      "\tPRIMARY KEY (orderline_id, batch_id), \n",
      "\tFOREIGN KEY(orderline_id) REFERENCES order_line (id), \n",
      "\tFOREIGN KEY(batch_id) REFERENCES batch (id)\n",
      ")\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from flask import Flask, jsonify, request\n",
    "from sqlalchemy.orm import sessionmaker\n",
    "\n",
    "from app.adapters import orm, repository\n",
    "from app.adapters.repository import SqlAlchemyRepository\n",
    "\n",
    "orm.clear_mappers()\n",
    "metadata = orm.start_mappers(use_exist=False)\n",
    "db_url = f\"postgres://{db_user}:{db_pass}@{db_host}/{db_user}\"\n",
    "engine = orm.init_engine(metadata, db_url, drop_all=True, show_log=True)\n",
    "\n",
    "## engine 을 이용한 SQL 실행 \n",
    "engine.execute('SELECT * FROM batch').fetchall()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[contextmanager](https://docs.python.org/3/library/contextlib.html#contextlib.contextmanager) 를 이용해 자동으로 세션 리소스를 해제하는 헬퍼 함수를 만들어봅시다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from contextlib import contextmanager\n",
    "get_session = sessionmaker(engine)\n",
    "\n",
    "@contextmanager\n",
    "def scoped_session():\n",
    "    session = None\n",
    "    try:\n",
    "        yield (session := get_session())\n",
    "    finally:\n",
    "        session and session.close()\n",
    "        \n",
    "from app.domain.models import Batch\n",
    "with scoped_session() as db:\n",
    "    assert [] == db.query(Batch).all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### PostgresSQL DB `SqlAlchemyRepository` 사용해보기\n",
    "\n",
    "제가 확장한 `AbstractRepository` 에는 자동 리소스 반환 프로토콜이 내장되어 있습니다. 아래와 같이 자동 리소스 반환되는 `with` 블록에서 Repository 인스턴스를 사용할 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    }
   ],
   "source": [
    "with scoped_session() as db:\n",
    "    print(db.query(Batch).all())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "with SqlAlchemyRepository(get_session()) as repo:\n",
    "    assert [] == repo.list()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. 테스트 헬퍼 함수 만들기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[RFC 4122](https://tools.ietf.org/html/rfc4122.html) UUID(Universally Unique IDentifier)를 이용해 완전한 랜덤을 보장하는 ID를\n",
    "생성할 수 있습니다.\n",
    "\n",
    "- [Is Python uuid.uuid4 strong enough for password reset links?](https://stackoverflow.com/questions/41505448/is-python-uuid-uuid4-strong-enough-for-password-reset-links#:~:text=2%20Answers&text=Yes,%20a%20UUID4%20is%20fully,randomness%20you%20should%20be%20fine)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### `uuid` 모듈 사용해보기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UUID('abc9e24d-0c77-439f-ad4f-31161981a9d2')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import uuid\n",
    "uuid.uuid4()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'5a377fed37a24ae18ab243eb779d4403'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uuid.uuid4().hex"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### uuid를 이용한 `random_*` 테스트 헬퍼 함수 구현하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import uuid\n",
    "def random_suffix():\n",
    "    return uuid.uuid4().hex[:6]\n",
    "\n",
    "def random_sku(name=''):\n",
    "    return f'sku-{name}-{random_suffix()}'\n",
    "\n",
    "def random_batchref(name=''):\n",
    "    return f'batch-{name}-{random_suffix()}'\n",
    "\n",
    "def random_orderid(name=''):\n",
    "    return f'order-{name}-{random_suffix()}'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. Fixture 만들기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### `add_stock`, `get_repo` fixture 만들기\n",
    "\n",
    "저자의 코드에서는 `postgres_session` 을 받아 PostgreSQL 에 종속된\n",
    "테스트를 만들고 있는데, 왜 그러는지 의문입니다.\n",
    "\n",
    "프로덕션용 `Repository`를 이용하는것이 여러 DB에서의 테스트를 고려할 때\n",
    "훨씬 더 유연한 방식이기 때문에 (심지어 실제 서비스 구현도 Repository사용)\n",
    "저는 Repository를 이용한 fixture 로 변경했습니다. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "from tests import mytest\n",
    "from app.domain.models import Batch\n",
    "\n",
    "@mytest.fixture\n",
    "def get_repo() -> SqlAlchemyRepository:\n",
    "    return lambda: SqlAlchemyRepository(get_session())\n",
    "            \n",
    "@mytest.fixture\n",
    "def add_stock(get_repo):\n",
    "    batches_added = set[Batch]()\n",
    "    with get_repo() as repo:\n",
    "        def inner(lines: [tuple[str, str, int, str]]) -> None:\n",
    "            for ref, sku, qty, eta in lines:\n",
    "                eta = datetime.strptime(eta, '%Y-%m-%d') if eta else None\n",
    "                batch = Batch(ref, sku, qty, eta)\n",
    "                repo.add(batch)\n",
    "                batches_added.add(batch)\n",
    "\n",
    "        yield inner\n",
    "\n",
    "        # Fixture 사용 이후 clean up 코드\n",
    "        for batch in batches_added:\n",
    "            lines = list(batch._allocations)\n",
    "            batch._allocations.clear()\n",
    "            for line in lines:\n",
    "                repo.delete(line)\n",
    "            repo.delete(batch)\n",
    "\n",
    "        return inner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_add_stock\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "@mytest.test\n",
    "def test_add_stock(add_stock, get_repo):\n",
    "    sku, othersku = random_sku(), random_sku('other')\n",
    "    earlybatch = random_batchref(1)\n",
    "    laterbatch = random_batchref(2)\n",
    "    otherbatch = random_batchref(3)\n",
    "    add_stock([\n",
    "        (laterbatch, sku, 100, '2011-01-02'),\n",
    "        (earlybatch, sku, 100, '2011-01-01'),\n",
    "        (otherbatch, othersku, 100, None),\n",
    "    ])\n",
    "    \n",
    "    with get_repo() as repo:\n",
    "        assert {earlybatch, laterbatch, otherbatch} == {it.reference for it in repo.list()}\n",
    "\n",
    "## 테스트 후에 잘 cleanup 되었는지 확인\n",
    "assert [] == engine.execute('SELECT * FROM batch').fetchall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    }
   ],
   "source": [
    "with scoped_session() as db:\n",
    "    print(db.execute('SELECT * FROM batch').fetchall())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "with scoped_session() as db:\n",
    "    db.execute('DELETE from batch')\n",
    "    db.commit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_add_stock\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "mytest.run(test_add_stock)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4. `ServerThread`: Jupyter 노트북용 Flask 앱 띄우기\n",
    "\n",
    "Flask API 서버와 E2E 테스트를 위해 실제 서버가 백그라운드에서 구동되어야 합니다.\n",
    "\n",
    "Jupyter 노트북에서는 셀에서 실행 명령을 누를때만 실행되기 구조라서 때문에 백그라운드 실행을 위해서 API 서버를 실행할 서버 스레드를 등록해야 합니다.\n",
    "\n",
    "다음은 restart 가능한 `ServerThread` 구현입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import threading\n",
    "from werkzeug.serving import make_server\n",
    "from app import config\n",
    "\n",
    "class ServerThread(threading.Thread):\n",
    "    def __init__(self, app):\n",
    "        threading.Thread.__init__(self)\n",
    "        self.srv = make_server(config.get_api_host(), config.get_api_port(), app)\n",
    "        self.ctx = app.app_context()\n",
    "        self.ctx.push()\n",
    "\n",
    "    def run(self):\n",
    "        print('starting server... ', end='')\n",
    "        self.srv.serve_forever()\n",
    "\n",
    "    def shutdown(self):\n",
    "        print('shutting down server...')\n",
    "        self.srv.shutdown()\n",
    "\n",
    "def start_server(app):\n",
    "    global server\n",
    "    server = ServerThread(app)\n",
    "    server.start()\n",
    "    print('started.')\n",
    "\n",
    "def stop_server():\n",
    "    server = globals().get('server')\n",
    "    server and server.shutdown()\n",
    "    \n",
    "def restart_server(app):\n",
    "    stop_server()\n",
    "    start_server(app)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Flask 에서 동일 endpoint에 라우팅 함수를 다시 정의 하려고 하면 에러가 발생 합니다. \n",
    "일반적인 상황에서는 사용자 실수를 방지하기 위한 올바를 Fool-Proof이지만, 인터렉티브 환경에서 \n",
    "반복적으로 구현을 고치며 다양한 실험을 하기에는 불편하기 때문에 이런 제약을 없애도록 패치했습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from flask import Flask\n",
    "class CustomFlask(Flask):\n",
    "    \"\"\"동일 endpoint에 라우팅을 덮어쓰도록 허용하는 커스텀 Flask 구현입니다.\"\"\"\n",
    "    \n",
    "    def add_url_rule(self, rule, \n",
    "                     endpoint=None, view_func=None, \n",
    "                     provide_automatic_options=None, **options):\n",
    "        # 기존 매핑을 제거 후 등록합니다.\n",
    "        self.view_functions.pop(view_func.__name__, None)\n",
    "        Flask.add_url_rule(self, rule, \n",
    "                           endpoint=endpoint, view_func=view_func,\n",
    "                           provide_automatic_options=provide_automatic_options,\n",
    "                           **options)        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 엔드포인트 만들어 보기\n",
    "\n",
    "그럼 이 테스트용 `ServerThread` 와 `CustomFlask` 를 어떻게 사용하는지 알아보겠습니다. \n",
    "\n",
    "\n",
    "먼저 `test_app`을 하나 생성하고, 이 앱에 대한 `route` 데코레이터를 정의합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_app = CustomFlask('test_app')\n",
    "route = test_app.route"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`POST /allocate` 엔드포인트를 만들어봅시다. 요청(request) 파라메터를 그대로 출력한 뒤 `501`(서버 에러: Not Implemented) 상태코드를 리턴하는 깡통 구현입니다. \n",
    "\n",
    "이 라우팅 핸들러를 반영하기 위해서는 `restart_server` 함수를 호출하여 Flask App을 재시작해야 합니다.\n",
    "\n",
    "**참고:** [HTTP 상태코드 레퍼런스](http://www.iana.org/assignments/http-status-codes/http-status-codes.xhtml)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting server... started.\n"
     ]
    }
   ],
   "source": [
    "from flask import request, jsonify\n",
    "\n",
    "@route('/allocate', methods=['POST'])\n",
    "def allocate_endpoint():\n",
    "    print(f'{request.json=}')\n",
    "    return jsonify({\"abc\": 1243}), 501\n",
    "\n",
    "restart_server(test_app) # 라우팅 적용을 서버에 업데이트 하기 위해서는 Restart 필요"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### `requests` 로 엔드포인트 테스트 해보기\n",
    "\n",
    "`requests` 라이브러리를 이용해 엔드포인트에 요청을 보내 보겠습니다. \n",
    "\n",
    "사용법이 워낙 직관적이라 별도의 설명은 필요없을 듯 합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:45] \"\u001b[35m\u001b[1mPOST /allocate HTTP/1.1\u001b[0m\" 501 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "request.json={'hello': 'world'}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'abc': 1243}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import requests\n",
    "res = requests.post(f'{config.get_api_url()}/allocate', json={\n",
    "    'hello': 'world'\n",
    "})\n",
    "assert 501 == res.status_code \n",
    "res.json()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 첫 번째 API 테스트 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:45] \"\u001b[35m\u001b[1mPOST /allocate HTTP/1.1\u001b[0m\" 501 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "request.json={'orderid': 'order--0d0ab3', 'sku': 'sku--cc5147', 'qty': 3}\n",
      "❌ \u001b[91mtest_api_returns_allocation\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"<ipython-input-30-42c0cee45e0a>\", line 20, in test_api_returns_allocation\n",
      "    assert r.status_code == 201\n",
      "AssertionError\n"
     ]
    }
   ],
   "source": [
    "from tests import mytest\n",
    "\n",
    "@mytest.test\n",
    "def test_api_returns_allocation(add_stock, get_repo):\n",
    "    from app import config\n",
    "    import requests\n",
    "    \n",
    "    sku, othersku = random_sku(), random_sku('other')\n",
    "    earlybatch = random_batchref(1)\n",
    "    laterbatch = random_batchref(2)\n",
    "    otherbatch = random_batchref(3)\n",
    "    add_stock([\n",
    "        (laterbatch, sku, 100, '2011-01-02'),\n",
    "        (earlybatch, sku, 100, '2011-01-01'),\n",
    "        (otherbatch, othersku, 100, None),\n",
    "    ])\n",
    "    data = {'orderid': random_orderid(), 'sku': sku, 'qty': 3}\n",
    "    url = config.get_api_url()\n",
    "    r = requests.post(f'{url}/allocate', json=data)\n",
    "    assert r.status_code == 201\n",
    "    assert r.json()['batchref'] == earlybatch\n",
    "    \n",
    "    return earlybatch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "## The Straightforward Implementation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "가장 단순하고 직접적인 엔트포인트 구현입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "from flask import Flask, jsonify, request\n",
    "from app.adapters.orm import get_scoped_session\n",
    "scoped_session = get_scoped_session(engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shutting down server...\n",
      "starting server... started.\n"
     ]
    }
   ],
   "source": [
    "@route(\"/allocate\", methods=['POST'])\n",
    "def allocate_endpoint():\n",
    "    from app.domain import models\n",
    "    with scoped_session() as db:\n",
    "        repo = SqlAlchemyRepository(db)\n",
    "        batches = repo.list()\n",
    "        line = models.OrderLine(\n",
    "            request.json['orderid'],\n",
    "            request.json['sku'],\n",
    "            request.json['qty'],\n",
    "        )\n",
    "        batchref = models.allocate(line, batches)\n",
    "    return jsonify({'batchref': batchref}), 201\n",
    "    \n",
    "restart_server(test_app)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "엔드 포인트 수정후 아래와 같이 테스트를 돌려봅시다. 테스트가 성공했습니다!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:45] \"\u001b[37mPOST /allocate HTTP/1.1\u001b[0m\" 201 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_api_returns_allocation\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "mytest.run(test_api_returns_allocation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "그럼 E2E 테스트로 DB 테이블 값들이 어떻게 바뀌었는지 살펴볼까요?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batches=[], lines=[], allocs=[]\n"
     ]
    }
   ],
   "source": [
    "with scoped_session() as db:\n",
    "    batches = db.execute('SELECT * FROM batch').fetchall()\n",
    "    lines = db.execute('SELECT * FROM order_line').fetchall()\n",
    "    allocs = db.execute('SELECT * FROM allocation').fetchall()\n",
    "    print(f'{batches=}, {lines=}, {allocs=}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이상하게 아무 값도 없습니다. 사실 이상한게 아니라 각 테스트는 특별한 이유가 없는 이상 DB에 부수 효과(side-effect)를 주지 말아야 합니다. 아까 `add_stock` Fixture 를 정의할 때 아래와 같은 cleanup 코드가 있었음을 기억하세요.\n",
    "```python\n",
    "        ...\n",
    "\n",
    "        yield inner\n",
    "\n",
    "        # Fixture 사용 이후 clean up 코드\n",
    "        for batch in batches_added:\n",
    "            repo.delete(batch)\n",
    "\n",
    "        return inner\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`/allocate` 요청 결과가 실제 DB에 반영되었는지를 확인하려면 아래와 같이 테스트 코드를 수정해야 합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:45] \"\u001b[37mPOST /allocate HTTP/1.1\u001b[0m\" 201 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "batch=<app.domain.models.Batch object at 0x7fb9c3389910>, lines=[], allocs=[], batch._allocations=InstrumentedSet()\n",
      "✅ \u001b[95mtest_api_returns_allocation_debug\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "@mytest.test\n",
    "def test_api_returns_allocation_debug(add_stock, get_repo):\n",
    "    earlybatch = test_api_returns_allocation(add_stock, get_repo)\n",
    "    \n",
    "    with scoped_session() as db:\n",
    "        batch = db.query(Batch).filter_by(reference=earlybatch).first()\n",
    "        lines = db.execute(\"SELECT * FROM order_line\").fetchall()\n",
    "        allocs = db.execute(\"SELECT * FROM allocation\").fetchall()\n",
    "        print(f'{batch=}, {lines=}, {allocs=}, {batch._allocations=}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "실제로 `allocation` 테이블와 `order_line` 테이블에 반영된 데이터가 포함되지 않았음을 확인할 수 있습니다. 도대체 이유가 뭘까요?\n",
    "\n",
    "이유는 간단합니다.`allocate_endpoint` 에서 `models.allocate()` 호출 이후에 `db.commit()` 을 실행하지 않았기 때문입니다.\n",
    "\n",
    "테스트가 실패했어야 하는데 성공했으므로 문제가 있습니다. 실패하도록 테스트를 고쳐보겠습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:46] \"\u001b[37mPOST /allocate HTTP/1.1\u001b[0m\" 201 -\n",
      "127.0.0.1 - - [16/Jan/2021 11:09:46] \"\u001b[37mPOST /allocate HTTP/1.1\u001b[0m\" 201 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "❌ \u001b[91mtest_allocations_are_persisted\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"<ipython-input-36-aa2b7b00d091>\", line 22, in test_allocations_are_persisted\n",
      "    assert batch2 == r.json()['batchref']\n",
      "AssertionError\n"
     ]
    }
   ],
   "source": [
    "@mytest.test\n",
    "def test_allocations_are_persisted(add_stock):\n",
    "    sku = random_sku()\n",
    "    batch1, batch2 = random_batchref(1), random_batchref(2)\n",
    "    order1, order2 = random_orderid(1), random_orderid(2)\n",
    "    add_stock([\n",
    "        (batch1, sku, 10, '2021-01-01'),\n",
    "        (batch2, sku, 10, '2021-01-02'),\n",
    "    ])\n",
    "    line1 = {'orderid': order1, 'sku': sku, 'qty': 10}\n",
    "    line2 = {'orderid': order2, 'sku': sku, 'qty': 10}\n",
    "    url = config.get_api_url()\n",
    "    \n",
    "    # 첫번째 주문으로 batch1 이 소진되어야 합니다.\n",
    "    r = requests.post(f'{url}/allocate', json=line1)\n",
    "    assert 201 == r.status_code\n",
    "    assert batch1 == r.json()['batchref']\n",
    "    \n",
    "    # 두번째 주문으로 batch2 가 소진되어야 합니다.\n",
    "    r = requests.post(f'{url}/allocate', json=line2)\n",
    "    assert 201 == r.status_code\n",
    "    assert batch2 == r.json()['batchref']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "테스트가 잘 실패(?)합니다. 이제 테스트가 성공하도록 `allocate_endpoint` 를 수정해봅시다. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shutting down server...\n",
      "starting server... started.\n"
     ]
    }
   ],
   "source": [
    "@route(\"/allocate\", methods=['POST'])\n",
    "def allocate_endpoint():\n",
    "    from app.domain import models\n",
    "    with scoped_session() as db:\n",
    "        repo = SqlAlchemyRepository(db)\n",
    "        batches = repo.list()\n",
    "        line = models.OrderLine(\n",
    "            request.json['orderid'],\n",
    "            request.json['sku'],\n",
    "            request.json['qty'],\n",
    "        )\n",
    "        batchref = models.allocate(line, batches)\n",
    "        db.commit() # DB에 변경 사항을 반영합니다.\n",
    "    return jsonify({'batchref': batchref}), 201\n",
    "    \n",
    "restart_server(test_app)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "수정 후에는 테스트가 잘 성공합니다. :D "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:46] \"\u001b[37mPOST /allocate HTTP/1.1\u001b[0m\" 201 -\n",
      "127.0.0.1 - - [16/Jan/2021 11:09:46] \"\u001b[37mPOST /allocate HTTP/1.1\u001b[0m\" 201 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_allocations_are_persisted\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "mytest.run(test_allocations_are_persisted)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Error Conditions That Require Database Checks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "그런데 위와 같은 방식으로 DB Validation 체크를 하면 코드 품질은 점점 나빠집니다.\n",
    "\n",
    "- 레포지터리나 ORM, DB 문제로 에러가 발생할 경우\n",
    "- OutOfStock 인 SKU일 경우, SKU가 없을 경우\n",
    "\n",
    "등 DB나 ORM단에서 발생 가능한 수많은 예외 상황을 고려하다 덕지 덕지 추가되는 테스트 코드 때문에 테스트 필요한 핵심 비즈니스 로직이 가려지기 때문입니다.\n",
    "\n",
    "아래는 서비스가 예외 상황을 올바르게 처리하는지를 체크하는 예제 테스트입니다. 현재 구현된 서비스에는 예외 처리 코드가 없으므로 테스트는 당연히 실패합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:46] \"\u001b[35m\u001b[1mPOST /allocate HTTP/1.1\u001b[0m\" 500 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "❌ \u001b[91mtest_400_message_for_out_of_stock\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"<ipython-input-39-cc008ae5764d>\", line 14, in test_400_message_for_out_of_stock\n",
      "    assert 400 == r.status_code\n",
      "AssertionError\n",
      "127.0.0.1 - - [16/Jan/2021 11:09:46] \"\u001b[35m\u001b[1mPOST /allocate HTTP/1.1\u001b[0m\" 500 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "❌ \u001b[91mtest_400_message_for_invalid_sku\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"<ipython-input-39-cc008ae5764d>\", line 24, in test_400_message_for_invalid_sku\n",
      "    assert r.status_code == 400\n",
      "AssertionError\n"
     ]
    }
   ],
   "source": [
    "test_app.logger.disabled = True # 서버 예외가 Jupyter Notebook에 출력되지 않도록\n",
    "\n",
    "@mytest.test\n",
    "def test_400_message_for_out_of_stock(add_stock):\n",
    "    \"\"\"재고 보다 더 많은 양을 할당할 때 에러 발생하는지 테스트.\"\"\"\n",
    "    sku, small_batch, large_order = \\\n",
    "        random_sku(), random_batchref(), random_orderid()\n",
    "    add_stock([\n",
    "        (small_batch, sku, 10, '2021-01-01')\n",
    "    ])\n",
    "    data = {'orderid': large_order, 'sku': sku, 'qty': 20}\n",
    "    url = config.get_api_url()\n",
    "    r = requests.post(f'{url}/allocate', json=data)\n",
    "    assert 400 == r.status_code\n",
    "    assert f'Out of stock for sku {sku}' == r.json()['message']\n",
    "        \n",
    "@mytest.test\n",
    "def test_400_message_for_invalid_sku():  \n",
    "    \"\"\"존재하지 않는 SKU를 할당할 때 에러가 발생하는지 테스트\"\"\"\n",
    "    unknown_sku, orderid = random_sku(), random_orderid()\n",
    "    data = {'orderid': orderid, 'sku': unknown_sku, 'qty': 20}\n",
    "    url = config.get_api_url()\n",
    "    r = requests.post(f'{url}/allocate', json=data)\n",
    "    assert r.status_code == 400\n",
    "    assert r.json()['message'] == f'Invalid sku {unknown_sku}'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "테스트가 성공하도록 엔드포인트를 개선해봅시다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shutting down server...\n",
      "starting server... started.\n"
     ]
    }
   ],
   "source": [
    "test_app.logger.disabled = False\n",
    "\n",
    "def is_valid_sku(sku, batches):\n",
    "    return sku in {b.sku for b in batches}\n",
    "\n",
    "@route(\"/allocate\", methods=['POST'])\n",
    "def allocate_endpoint():\n",
    "    from app.domain import models\n",
    "    with scoped_session() as db:\n",
    "        repo = SqlAlchemyRepository(db)\n",
    "        batches = repo.list()\n",
    "        line = models.OrderLine(\n",
    "            request.json['orderid'],\n",
    "            request.json['sku'],\n",
    "            request.json['qty'],\n",
    "        )\n",
    "\n",
    "        if not is_valid_sku(line.sku, batches):\n",
    "            return jsonify({'message': f'Invalid sku {line.sku}'}), 400\n",
    "\n",
    "        try:\n",
    "            batchref = models.allocate(line, batches)\n",
    "        except models.OutOfStock as e:\n",
    "            return jsonify({'message': str(e)}), 400\n",
    "        \n",
    "        db.commit()\n",
    "        return jsonify({'batchref': batchref}), 201\n",
    "\n",
    "restart_server(test_app)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:47] \"\u001b[31m\u001b[1mPOST /allocate HTTP/1.1\u001b[0m\" 400 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_400_message_for_out_of_stock\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:47] \"\u001b[31m\u001b[1mPOST /allocate HTTP/1.1\u001b[0m\" 400 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_400_message_for_invalid_sku\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "mytest.run(test_400_message_for_out_of_stock)\n",
    "mytest.run(test_400_message_for_invalid_sku)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "테스트는 성공했지만 서비스 구현 코드가 예외 처리로 인해 지저분해졌습니다. E2E 테스트의 숫자도 통제 불능으로 숫자가 증가하게 되었습니다.\n",
    "\n",
    "어떻게 이런 문제를 해결할 수 있을까요?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introducing a Service Layer, and Using `FakeRepository` to Unit Test It"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "지금까지 구현한 서비스 엔드포인트에는 애플리케이션상의 다양양 컴포넌트들을 세밀하게 조정하는(오케스트레이션) 과정들이 있습니다.\n",
    "\n",
    "- 레포지터리에서 데이터 얻기\n",
    "- DB 상태에 대한 입력값 유효성 검사\n",
    "- 에러 처리\n",
    "- 올바른 처리 후 DB 커밋\n",
    "\n",
    "\n",
    "그런데, 이 중 대부분은 웹 API 엔드포인트의 구현 로직과 관련이 없으며, E2E 테스트에 포함될 필요가 없습니다.\n",
    "\n",
    "즉, 오케스트레이션에 관련된 부분을 분리해서 \"서비스 레이어\" 로 분리할 필요가 있습니다.\n",
    "(이 서비스 레이어를 \"오케스트레이션 계층\" 또는 \"유즈 케이스 계층\" 으로 부르기도 합니다.)\n",
    "\n",
    "DB 상태나 파일 시스템 등 서비스와 관련 없는 부분에 영향받지 않는 테스트를 위해 `FakeRepository` 로 레포지터리를 대체해봅시다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Optional\n",
    "from app.adapters.repository import AbstractRepository\n",
    "from app.domain.models import Batch\n",
    "\n",
    "class FakeRepository(AbstractRepository):\n",
    "    \n",
    "    def __init__(self, batches):\n",
    "        self._batches = set(batches)\n",
    "\n",
    "    def add(self, batch: Batch) -> None:\n",
    "        self._batches.add(batch)\n",
    "\n",
    "    def get(self, reference: str) -> Optional[Batch]:\n",
    "        return next(b for b in self._batches if b.reference == reference)\n",
    "\n",
    "    def list(self) -> list[Batch]:\n",
    "        return list(self._batches)\n",
    "\n",
    "    def delete(self, batch: Batch) -> None:\n",
    "        self._batches.delete(model)\n",
    "    \n",
    "    def clear(self):\n",
    "        self._batches.clear()\n",
    "\n",
    "    def close(self) -> None:\n",
    "        pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이 페이크 레포지터리로 서비스 레이어의 기능 동작을 테스트를 통해 완성해 봅시다. 먼저 실패하는 \"빠른 단위 테스트\"(fast unit test) 를 만들어 봅시다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "from unittest.mock import MagicMock\n",
    "import pytest\n",
    "\n",
    "from tests import mytest\n",
    "from app.domain import models\n",
    "\n",
    "services, FakeSession = MagicMock(), MagicMock()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "❌ \u001b[91mtest_returns_allocation\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"<ipython-input-44-e7cf6c67d3f1>\", line 10, in test_returns_allocation\n",
      "    assert result == \"b1\"\n",
      "AssertionError\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "❌ \u001b[91mtest_error_for_invalid_sku\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"/home/ykkim/conda/envs/lab/lib/python3.9/site-packages/_pytest/outcomes.py\", line 153, in fail\n",
      "    raise Failed(msg=msg, pytrace=pytrace)\n",
      "Failed: DID NOT RAISE <MagicMock name='mock.InvalidSku' id='140435820935104'>\n"
     ]
    }
   ],
   "source": [
    "# tests/unit/test_services.py\n",
    "\n",
    "@mytest.test\n",
    "def test_returns_allocation():\n",
    "    line = models.OrderLine(\"o1\", \"COMPLICATED-LAMP\", 10)\n",
    "    batch = models.Batch(\"b1\", \"COMPLICATED-LAMP\", 100, eta=None)\n",
    "    repo = FakeRepository([batch])  \n",
    "\n",
    "    result = services.allocate(line, repo, FakeSession())  \n",
    "    assert result == \"b1\"\n",
    "\n",
    "@mytest.test\n",
    "def test_error_for_invalid_sku():\n",
    "    line = models.OrderLine(\"o1\", \"NONEXISTENTSKU\", 10)\n",
    "    batch = models.Batch(\"b1\", \"AREALSKU\", 100, eta=None)\n",
    "    repo = FakeRepository([batch])  \n",
    "\n",
    "    with pytest.raises(services.InvalidSku, match=\"Invalid sku NONEXISTENTSKU\"):\n",
    "        services.allocate(line, repo, FakeSession())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "테스트를 성공하기 위해서 해야 할 작업이 보입니다.\n",
    "\n",
    "1. `services.allocate` 함수 구현하기\n",
    "    - `FakeSession` 으로 가짜 세션 작업 흉내내기\n",
    "2. `InvalidSku` 예외 객체 만들기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`FakeSession` 을 다음과 같이 구현하고 `commit` 작업에 대한 테스트를 추가해봅시다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "❌ \u001b[91mtest_commits\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"<ipython-input-45-e6e46a4cf603>\", line 15, in test_commits\n",
      "    assert session.committed is True\n",
      "AssertionError\n"
     ]
    }
   ],
   "source": [
    "class FakeSession():\n",
    "    committed = False\n",
    "\n",
    "    def commit(self):\n",
    "        self.committed = True\n",
    "        \n",
    "@mytest.test\n",
    "def test_commits():\n",
    "    line = models.OrderLine('o1', 'OMINOUS-MIRROR', 10)\n",
    "    batch = models.Batch('b1', 'OMINOUS-MIRROR', 100, eta=None)\n",
    "    repo = FakeRepository([batch])\n",
    "    session = FakeSession()\n",
    "\n",
    "    services.batch.allocate(line, repo, session)\n",
    "    assert session.committed is True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A Typical Service Function\n",
    "\n",
    "테스트가 성공하도록 에러를 고쳐봅시다. 전형적인 서비스 레이어는 일반적으로 다음과 같은 단계를 포함합니다.\n",
    "\n",
    "1. 레포지터리에서 서비스에 필요한 객체를 가져옵니다.\n",
    "1. 애플리케이션 상태와 비교해 요청에 대한 유효성이나 정합성을 확인합니다.\n",
    "1. 정상적인 요청이라면 도메인 서비스를 호출합니다.\n",
    "1. 잘 동작한다면 변경 사항을 저장하거나 업데이트 합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "from app.adapters.orm import AbstractSession\n",
    "\n",
    "class InvalidSku(Exception):\n",
    "    pass\n",
    "\n",
    "def is_valid_sku(sku, batches):\n",
    "    return sku in {b.sku for b in batches}\n",
    "\n",
    "def allocate(line: models.OrderLine, repo: AbstractRepository, session: AbstractSession) -> str:\n",
    "    batches = repo.list()\n",
    "    if not is_valid_sku(line.sku, batches):\n",
    "        raise InvalidSku(f'Invalid sku {line.sku}')\n",
    "    batchref = models.allocate(line, batches)\n",
    "    session.commit()\n",
    "    return batchref"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_returns_allocation\u001b[0m\n",
      "✅ \u001b[95mtest_error_for_invalid_sku\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "@mytest.test\n",
    "def test_returns_allocation():\n",
    "    line = models.OrderLine(\"o1\", \"COMPLICATED-LAMP\", 10)\n",
    "    batch = models.Batch(\"b1\", \"COMPLICATED-LAMP\", 100, eta=None)\n",
    "    repo = FakeRepository([batch])  \n",
    "\n",
    "    result = allocate(line, repo, FakeSession())  \n",
    "    assert result == \"b1\"\n",
    "\n",
    "@mytest.test\n",
    "def test_error_for_invalid_sku():\n",
    "    line = models.OrderLine(\"o1\", \"NONEXISTENTSKU\", 10)\n",
    "    batch = models.Batch(\"b1\", \"AREALSKU\", 100, eta=None)\n",
    "    repo = FakeRepository([batch])  \n",
    "\n",
    "    with pytest.raises(InvalidSku, match=\"Invalid sku NONEXISTENTSKU\"):\n",
    "        allocate(line, repo, FakeSession())  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "테스트가 잘 수행되었지만 한 가지 **아쉬운 점**이 있습니다. `session.commit` 이라는 명령이 포함되었기 때문입니다. 서비스 레이어가 DB구현과 강하게 결합되어 있는 이 문제를 나중에 6장의 \"Unit of Work\" 패턴에서 개선해 보겠습니다.\n",
    "\n",
    "이제 엔드포인트를 다시 리팩토링해볼 차례입니다. `allocate_endpoint` 를 서비스 레이어를 이용하도록 고쳐봅시다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shutting down server...\n",
      "starting server... started.\n"
     ]
    }
   ],
   "source": [
    "from app import services\n",
    "\n",
    "@route(\"/allocate\", methods=['POST'])\n",
    "def allocate_endpoint():\n",
    "    with scoped_session() as session:\n",
    "        repo = SqlAlchemyRepository(session)  \n",
    "        line = models.OrderLine(\n",
    "            request.json['orderid'],  \n",
    "            request.json['sku'],  \n",
    "            request.json['qty'],  \n",
    "        )\n",
    "        try:\n",
    "            batchref = services.batch.allocate(line, repo, session)  \n",
    "        except (models.OutOfStock, services.batch.InvalidSku) as e:\n",
    "            return jsonify({'message': str(e)}), 400  \n",
    "\n",
    "        return jsonify({'batchref': batchref}), 201  \n",
    "    \n",
    "restart_server(test_app)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이제 Flask 앱의 엔드포인트에서 하는 일이 웹 작업으로 깔끔하게 분리되었습니다. \n",
    "\n",
    "- POST 요청에서 JSON 데이터를 파싱하여 서비스 레이어의 입력으로 변환하는 작업\n",
    "- HTTP 상태 코드를 반환하는 작업\n",
    "\n",
    "그 외 실제 작업과 예외처리 같은  오케스트레이션 작업이 서비스 레이어와 레포지터리(모델) 레이어에서 담당하도록 위임되었습니다.\n",
    "\n",
    "이제 엔드포인트와 완전히 분리된 서비스 레이어 테스트를 만들 수 있습니다! :D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_returns_allocation\u001b[0m\n",
      "✅ \u001b[95mtest_error_for_invalid_sku\u001b[0m\n",
      "✅ \u001b[95mtest_commits\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "## 서비스 레이어 전용 테스트\n",
    "import app.services.batch\n",
    "\n",
    "@mytest.test\n",
    "def test_returns_allocation():\n",
    "    line = models.OrderLine(\"o1\", \"COMPLICATED-LAMP\", 10)\n",
    "    batch = models.Batch(\"b1\", \"COMPLICATED-LAMP\", 100, eta=None)\n",
    "    repo = FakeRepository([batch])  \n",
    "\n",
    "    result = services.batch.allocate(line, repo, FakeSession())  \n",
    "    assert result == \"b1\"\n",
    "\n",
    "@mytest.test\n",
    "def test_error_for_invalid_sku():\n",
    "    line = models.OrderLine(\"o1\", \"NONEXISTENTSKU\", 10)\n",
    "    batch = models.Batch(\"b1\", \"AREALSKU\", 100, eta=None)\n",
    "    repo = FakeRepository([batch])  \n",
    "\n",
    "    with pytest.raises(services.batch.InvalidSku, match=\"Invalid sku NONEXISTENTSKU\"):\n",
    "        services.batch.allocate(line, repo, FakeSession())\n",
    "        \n",
    "        \n",
    "@mytest.test\n",
    "def test_commits():\n",
    "    line = models.OrderLine('o1', 'OMINOUS-MIRROR', 10)\n",
    "    batch = models.Batch('b1', 'OMINOUS-MIRROR', 100, eta=None)\n",
    "    repo = FakeRepository([batch])\n",
    "    session = FakeSession()\n",
    "\n",
    "    services.batch.allocate(line, repo, session)\n",
    "    assert session.committed is True        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "마지막으로, 앞에서 만든 여러 E2E 테스트들을 **정상 케이스**와 **에러 케이스** 두 가지에 대한 E2E 테스트로 깔끔하게 줄일 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:47] \"\u001b[37mPOST /allocate HTTP/1.1\u001b[0m\" 201 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_happy_path_returns_201_and_allocated_batch\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [16/Jan/2021 11:09:47] \"\u001b[31m\u001b[1mPOST /allocate HTTP/1.1\u001b[0m\" 400 -\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ \u001b[95mtest_unhappy_path_returns_400_and_error_message\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "test_app.logger.disabled = False\n",
    "\n",
    "@mytest.test\n",
    "def test_happy_path_returns_201_and_allocated_batch(add_stock):\n",
    "    sku, othersku = random_sku(), random_sku('other')\n",
    "    earlybatch = random_batchref(1)\n",
    "    laterbatch = random_batchref(2)\n",
    "    otherbatch = random_batchref(3)\n",
    "    add_stock([\n",
    "        (laterbatch, sku, 100, '2011-01-02'),\n",
    "        (earlybatch, sku, 100, '2011-01-01'),\n",
    "        (otherbatch, othersku, 100, None),\n",
    "    ])\n",
    "    data = {'orderid': random_orderid(), 'sku': sku, 'qty': 3}\n",
    "    url = config.get_api_url()\n",
    "    r = requests.post(f'{url}/allocate', json=data)\n",
    "    assert 201 == r.status_code, f'{r.status_code}'\n",
    "    assert earlybatch == r.json()['batchref']\n",
    "\n",
    "\n",
    "@mytest.test\n",
    "def test_unhappy_path_returns_400_and_error_message():\n",
    "    unknown_sku, orderid = random_sku(), random_orderid()\n",
    "    data = {'orderid': orderid, 'sku': unknown_sku, 'qty': 20}\n",
    "    url = config.get_api_url()\n",
    "    r = requests.post(f'{url}/allocate', json=data)\n",
    "    assert 400 == r.status_code\n",
    "    assert f'Invalid sku {unknown_sku}' == r.json()['message']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Why Is Everything Called a Service?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이번 장에 걸쳐 서비스라는 말이 혼동스럽게 사용되었습니다. (예: 도메인 서비스 vs. 서비스 레이어)\n",
    "\n",
    "1. 애플리케이션 \"서비스\" (서비스 계층): 외부의 요청을 받아 처리하고 오케스트레이션 하는 계층입니다.\n",
    "   - 주로 하는 일: 1) DB 데이터 조회 2) 도메인 모델 업데이트 3) 변경 사항을 DB에 저장\n",
    "1. 도메인 \"서비스\": 도메인 모델에 포함된 비즈니스 로직 또는 규칙입니다. \"상태에 무관한(stateless)\" 로직들이 여기에 해당합니다.\n",
    "   - 예) 세금 계산 등"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Putting Things in Folders to See Where It All Belongs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "제 취향과 프로젝트 경험에 비추어 교재와 폴더 구성을 다르게 했습니다. 이유는 다음과 같습니다.\n",
    "\n",
    "- `apps` 디렉토리에 Flask 앱을 분리: 애플리케이션이 Flask 프레임웍에 한정되지 않고 다른 프레임웍(FastAPI)등으로 확장 가능하게 하기 위해\n",
    "\n",
    "- `model` -> `models`로 변경: 프로젝트에서 복수형으로 쓰는게 보다 일반적인 명명법입니다.\n",
    "- `service_layer` -> `services/batch` 로 변경: 여러 세부 서비스가 추가될 수 있으므로 특정 서비스를 별도 모듈로 분리하는것이 좋습니다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wrap-up"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The DIP in Action"
   ]
  },
  {
   "attachments": {
    "7ac5c620-2834-4a9b-b8ff-92855632ccbb.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:7ac5c620-2834-4a9b-b8ff-92855632ccbb.png)"
   ]
  },
  {
   "attachments": {
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dF3CKEzJg0tohBESYjuIrlABf1I8L3yAG6PgFkELLQpsw0OPXZJoz+5Y2YssC8sXsyXNAMyaleHr8BkjFARF1QbtBIB0DDQAic5quDBCh7YA/yB8gxMALfQzcoSmqCSA67bTTInqFqwWhq2muMEPBAwQDRHHwZm0I2MwFIAJsYQKlHeAb+in+PNQ9NPHZ4gLoy/5d0Iny4thuGkG0i/Qd4vDc/IYAs6nakrwAsiEgos1CU5wnxn//YALGJ4m8aau4STiMW9v/ZwOIoBftoKv4aYCsY1LE2MBYwiSLsUaASICogkwKAZHNeCtE+O+PVIAoXNbOAMXgRiAdG/wMECFcYEruCGf2jGEACmf6CPcQEDEYoJ0w3xAAF3mQRrrAOxsYENAMJvGL51wMrgjvOCAKnapT5UM9sgFEAAXTmmASiwM7G0xDM0yqfHkWAqJUS7YxRVFf6odfT5xW1JU0eM5FXWgv6IoGDIAAeON7NEyYZABm/Ebbh/ks5BPSIE3AtAWrK1o6vrdgPBEHRGZuYqAnLeMTvsNMSd44Y8ODBO6AVp6nA0Ts+WR1o4zpNESslCMdLsAGdSM+5l8c2XmOicm0gwaIKFcYrA2zBUT4SqHlI1+7KDc8EvoFsYqOQNkw41iZDRDxjjakv/EO0As/AVBYYWhtxuo4a1+0Y/bc0jb+4HcIiKA/CwpSBTRCDDLkiwYrTDNV/Np8li0ggt66SosGjz32mJdtyGUBogIxeLGZzNCoZBJkqQARfilmBsHfAr8LVPOoKG1Wb4AI9T8aGZYAI9xZNozGyGaxmFxQ/8cBEQMDNnxLj0GWb9OVFdOBDaKsRAI09O/fP7rQ0JiGisEU0xGDQLjsPteAiDpZmfCTYVfsMNhgmgtARF0wXTI4oaVjmTSzIgYztEFovHCiJR5aEAZL4jD7x/EdwGNtYlo5tEk2iOJfhdmFNsCMx7esVMMh20I2gAgNku1jAzimfCzPB9gRGNipC2YiBnP4iyXoptEKARGgxTRHmIPYQoC0AEPpABE8t+qqq/o8qCN+BixhByxjRgRcYk4ysJ9rQIS5kNkq5bSL+sGXOFNTd7Sa0Jd2vP/++yMzJe9CQAS9zLzJOy7oE2p2qC9O6rwD6N13330+XfKjXTEbpnKqzgSIGFjQSpEmQDTJQYCotMBNdcAqGvd//etffsIoQCRAVEFe1URDxICKyQwwhbmnVatW3nGWAYbVKAhIA0QAFUwo+BYxqOATgbAmDhogdhFm0IoDIgoLA5vTJqCBpcXmO1GhMs75peLmY4GGg5l+GAAC+GSQL2nhaJ1vQET+2LDJk/oDHMOQS0BEuoBO2oL8WCYPQGLghS7mx4SWCO0YAx2DGeYh6MVvTGN8i08ZtAF8AnIBDAAETHG0HyDWHI8xr1nIBhDBQ+yDYyZO8uUaMWKETw6wYODH+IuyWv1CQARA53gZ05BZWkxO0gEiMmHlmtUDngBIm1aSJfoAMQPguQZEVsb4HVMpNMDfh/rQdrQjZi5bOcY3cUAEkDTwyntWlEFjC7QnoIo+SrrGH/h70W7UG98jQlU1RAAo8mLSkk6LZPnX9l2ASIAI2ceiC7bNECASIKogk/APASDgZ2BCv0KE//6AiUDVxGVwJIDOEZqYqDCDMJDgj4LmAHMYcdHQEAA6zHIxmzDooqUBHDBQMzO21TKYXjDRhN+SDyuY2OOE55SDWXQ8IOwxE1k5MYekqhObx5EOF4M+Jgq0AvYs3Asonge/SRPNCvGhG1qSygIDsmki8E0KA2UgLTQRbGaYKVBHACHxcbilXeKB+qBNYA8d2gVTFwMqGh/oZg7saP0AHOypg2YFDQ3gCF8rNAehGYx80exh4iEuQBd/IkAuvi7mK0RZ8HWhfIBl6m0B7QPPWfVnWjLaFmDGknLS5j0XK/MIaBbhD8xX8Az8hY8OWjziIdSoD4G0AEXwo9GIOJQN/mP5Pb/xvQoBNXWDJ8gfgAAdyA/TFM6XIQ/RdqQR14RYG2J2Q9OWKdA/WDFJOuku2g/6jxw50js7oyXCTAhd2JSS71KtuoTe1M8AVhx8Uy74g4lCr169vJYI/qDe8Af1oM4EaMaKR/KizeLgizjQznytKA/fJDkIEAkQ0Z8Zw/BnFSASIEqyvCrpsrGaDg0Egw8aMwVRIFcUAOQAhtjeAGAHIGLiEV+FmKv8SAcAyi7k5MXkBs0Tz5IcBIgEiOBRJnyYjgWIBIiSLK9Kumz4oeCrhHbBlp2XdIVVuYJRAO0N2inMr5iuMDOyN1E+AzNtNg/FhwzzXpKX2xsdBIgEiABEWATw5xQgEiAy2aB7gSlAR2Qmj5mBu4IokCsK4Dhtjs3sso0fEObsfIY4P/M76UGASIAIPmV7EnwmBYgEiJIus1Q+UUAUyJIC+Bvh+2MO5MUATrKsYk6iCxAJEAkQFQgEQWi7imXZfU6kjBIRBUQBUaAIKCBA9L8xysaqcrxLQxSAlUIwgABREUhHFVEUEAXKigICRAJEjP8CRAJEZSX4VFlRQBQQBeIUECASIBIgKjAYguCmIeJEcfaK0SUaiAfEA+KB2uUBdmtn/6yrrrrK7/HEbvnsx1UIq4HySA4Yk4aowKCI/UDYSI4dmNlETpdoIB4QD4gHapcHOA6FndYFiJIDTmoDKAoQFRgQsWMruzVzgCIXu96ygzJHC+gSDcQD4gHxQO3wADu4c5QOu4BLQ1SewEiAqMCAKES9bGA2bdo0v1Eax0lwhIAu0UA8IB4QD9QeDwgQlScYYmwWIKplQMR5S5wkzkGSukQD8YB4QDxQuzzA+XlsaMkeTuEEVv+XPlASIKplQMQBllOnTnUff/yxLtFAPCAeEA/UMg9wwPAPP/zgd40XCCp9EBS2sQBRLQMizGYc2aBLNBAPiAfEA8ngAY7QQTaHg6X+L31wJEBUi4BIHaz0O5jaWG0sHhAPiAeKgwcEiASINAsSD2TkAWbKc+fOdb/99ptmzeKVjLyigb84Bn61U+p2EiCSgJOAEw9k5AE2Dbz99tvdPffc4027EqaphanoIrqIB4qbBwSINBhmHAzVwYu7g+ei/Vhtc84557ghQ4b4ndVzkabSEF+JB8QDSeMBASIBIgEi8UBGHhAg0sCVtIFL5RFP5oMHBIg0GGYcDPPBdEqzuISZAFFxtZf6l9pLPFA9HhAgEiASIBIPZOQBAaLqCVcNSqKbeKC4eECASINhxsFQHbq4OnQ+2kuASDyQD75SmuKrpPGAAJEAkQCReCAjDwgQaeBK2sCl8ogn88EDAkQaDDMOhvlgOqVZXMJMgKi42kv9S+0lHqgeDwgQCRAJEIkHMvKAAFH1hKsGJdFNPFBcPCBApMEw42CoDl1cHTof7SVAJB7IB18pTfFV0nhAgEiASIBIPJCRBwSINHAlbeBSecST+eABASINhhkHw3wwndIsLmEmQFRc7aX+pfYSD1SPBwSIBIgEiMQDGXlAgKh6wlWDkugmHiguHhAg0mCYcTBUhy6uDp2P9hIgEg/kg6+UpvgqaTwgQCRAJEAkHsjIAwJEGriSNnCpPOLJfPCAAJEGw4yDYT6YTmkmW5i9+eab7vLLL3dXXHGFvy677DLXpUsXt/vuuzv+t+fEmTlzpvhHMkQ8IB4oCR4QIBIjlwQjC2TlDmS9++67rmHDhq5OnToZr9VWW839/fff4h/JEPGAeKAkeECASIxcEowsQJQ7QDRv3jy33XbbZQRDgKUzzzxTvCP5IR4QD5QMDwgQiZlLhpkFinIDitD6YBqrV69eWlC09NJLu5deekm8I/khHhAPlAwPCBCJmUuGmQWIcgOI/vnnHzdx4kS3+uqrpwVEnTt3djNmzBDvSH6IB8QDJcMDAkRi5pJhZgGi3AAi6IizdNeuXVMCovr167szzjjD/fnnn+IdyQ/xgHigZHhAgEjMXDLMLECUO0C0cOFCN3To0JTO1SuvvLIbN26c+EayQzwgHigpHhAgEkOXFEMLFOUOFL3xxhtuxRVXXExLtOWWW7rvv/9efCPZIR4QD5QUDwgQiaFLiqEFiHIHiHCu3nzzzRcDRFpdljsai19FS/FAcnhAgEiASIBIPJCWB4YPH14BELE/EfsUSYgnR4irLdQW4oHc8IAAkQZDDW7igbQ8gGmsWbNmESjaYost3F9//ZU2vgRzbgSz6Cg6igcKzwMCRBoMNbiJB9LyAEvwe/bsGQGiW2+9NW1cCfDCC3DRXDQXD+SOBwSINBhqgBMPZOSBCRMmuAYNGjiO6pg9e3bGuBLOuRPOoqVoKR4oLA8IEGkw1AAnHsjIA4CgDh06uF69emnvIfFKRl7RAF7YAVz0zi29BYgk4CTgxAMZeYANGAcNGuQefPBBt2jRooxxJaBzK6BFT9FTPFA4HhAg0mCoAU48kJEH8COaPn26mzVrluN/CejCCWjRWrQWDxSOBwSINBhqgBMPiAfEA+IB8UDZ84AAkTpB2XcCzcAKNwMTrUVr8YB4IKk8IEAkQCRAJB4QD4gHxAPigbLnAQEidYKy7wRJna2oXJpJiwfEA+KBwvGAAJEAkQCReEA8IB4QD4gHyp4HBIjUCcq+E2gGVrgZmGgtWosHxANJ5QEBogQDIpY4c5bUd999p0s0EA+IB8QD333nd0vXflgCVfkAVQJECQZEkydPdnXr1nUtW7Z0rVq10iUaiAfEA2XNA2uttZZbaaWV3Ouvvy7NdoLHrnyAlUKkKUCUYKai0zdq1Mi98sorbsqUKbpEA/GAeKCseeDdd991rVu3dpyvV4gBUnmUlyZKgCjhgKhJkyZuzpw5TkEUEAVEgXKnAMfItG3b1r3wwgt+13TcCrR7enmBlnyCVAEiAaJyl7GqvyggChQJBQBEbdq0cXfddZf7+OOP3TfffOP++usvaYsSPI7lE8DkOm0BogQzEiYzaYiKRFKrmKKAKJB3CgCI1l57bTdgwAB35513umeffdb98ssvAkQJHsdyDVrymZ4AUYIZSYAo7/JVGYgCokARUcAA0SmnnOJuvPFG9+ijj7qff/5ZgCjB41g+AUyu0xYgSjAjCRAVkaRWUUUBUSDvFBAgkr9QrkFQmJ4AkQBR3oWYMhAFRAFRIBcUECASIAoBTK7/FyASIMqFnFIalVCAjrtgwQI3b948fyHYbXO5Sj4tyGucUz/99FM3bdq0guSnTESB6lBAgEiAKNcgKExPgEiAqDpySd9kQYG///7bjRs3zh177LHuwAMP9Ndhhx3m8IMYPXq0++OPP7JILT9R+/Tp47baaivXrVu3/GRQSapfffWVO/XUU93pp5/uVxBVEl2vy5QCAkQCRCGAyfX/AkQCRGUqWgtT7YULF3oA1LhxY7/reJ06dZxd7EK+xBJLuI8++qgwhcmQy4477ujLtd5662WIlb9Xr732mqdPvXr13CGHHJK/jJRyUVNAgEiAKNcgKExPgEiAqKgFZNILj2YIAMRAv+666/rB/phjjvEgaeutt3ZrrLGG308lrAcdlM3mEP6///67mz9/vgNY8TwMxMHsZqY3fhOXK/4u/I507Dvi8fuyyy5zvXr18suZw7j8z3vyJ10rj+UZxiUeZkE0XlxoxnhWlQAgMqBYmZaKNEnbyhPPi/dh/fk/DOne8R31snS5x+tpcYx+/IY2lIH24rdC/iggQCRARB/L1yVAlEfi1rTRtMosf4K1UCmfccYZfqBfbrnl3G233VZhwGRDubffftvvoxKWZ9asWW7YsGHupJNO8iCld+/e7oILLnBTp04No7nnn3/enX322e7cc891X375pbv++uvdCSec4J+98847/s77l19+ucJ3/OY5e7m8+eabHjzcfPPN/tlVV11VIS7ggTKef/757vjjj/flIY+hQ4e6H3/8MYr722+/uTFjxngzIKZBrv79+7tnnnnGg6QoYpp/qgqIoNl1113nTjvtNAddAHHHHXecO/PMM93TTz8dAUfSGzhwoDvnnHPck08+GdGdPkn9eb+wx1MAACAASURBVA4NJk6c6EvE888//9zXi/qR7oknnuiXds+YMSMqNfSAznzLsm/6KG1Dffn966+/RnH1T+4pIECUPzBQ0/GqFL4XIBIgyr3UUooRBQAFaD4aNmzounbt6hiof/jhh2jgjiL+9x80Dfvss49bZpll/Hf169f3piS+32ijjTw4sW+GDBkSpb333nu7pZZayv/mAEx28V1++eX9b/yVLDCg48dEmTgk87nnnvNgIZXJDAEHiGNn4AYNGvhvTIvTtGnTyNQHCKCezZs393HQhmEOJO4666zjbr/9dl9fK0Oqe1UB0U8//eSWXHLJKB/oQz7kh7btgQce8PUB6EAH3u23335u7ty5Plu0PvhLWfk4J5AAsGnfvr0/O5BvLF3age8BYgS0QZtuuqlPd/XVV3cdO3b0bcs3tC9gViF/FBAgEiDKJ/ASIBIgyp/0UsruwQcf9OYyBszwAmRceeWV/ugBQAqBjn700Uf7ePgcocFB88LmcwALvt98880jjZIBIp4DWPbcc093ySWXeG0JwMrSWnrppX065PHFF1+4lVde2ae16667utmzZ/u844CIsrz11luuWbNmPi6ADKdrNEM4Pm+xxRYedBEPIWIgZbfddnOfffaZf9euXTv/LWVH+5IpZAOIoMG9997ryw5QeeSRRyLws+qqq3qNFCY1AAq0adWqlT/7irICWDbccEP/nHSgPTTo3LmzfwZIvOOOO7wJDK0ZtCMNNFB8HwIingM60SZdfPHF7tprr3UANoX8UUCASICIfpivS4Aoj8StaaPJZJY/wVqolPGpQSOBNiGuZWFAZQBHmwGvMDDjZM1zgAWABACDqQzzEJqXFi1auMcff9wXPwREmLPiAXOVAZVrrrnG53Hrrbf6Z40aNfKmHgNjcUDEcwZ5gBDalIMPPriC9gOtEHUDkGAuoswcM4M5ijJzPfzww/457+6777548Sr8rioggk5oeXBEx2QILcaOHesOOuigKC+0YwSEG2WnDhdddJH3O4LWVqdRo0b5eJQTkGj1BNBR/vfff99r6yg/wIc6h4AIsHTTTTdVqv2qUFH9qBEFBIjyBwZqOl6VwvcCRAJENRJQ+rhyCuCAy0A8YsQI16NHD7fBBhtEQIXBFjCCJgh/Hn5zrbLKKt4cgyaGa8011/TPMeGQDsEAEeadCRMmLFaQ7777zm2zzTb+O7Q0aEeOOuooP/ADACZPnhx9EwdEAB1AFmUBPKH9QODFA07W22+/fRTPyst9s802889JY9CgQfFPK/yuKiD6+uuvHSZAzFuAFAAkAMdMXOQFHQmUbeONN/ZlgA74POFvRJzWrVt70yXx8NfC3AggArhaHTCHmTaNbz755JMKgAhNE/5VCoWjgACRAFE+gZcAkQBR4aRZGedEJwYYAXy+//57b+Zh1ZkNztOnT3dvvPFGBCB4hwkM36DwOuCAA7zmBVIaIAIUvPfee4tRF7MRZjfAAoP9DTfc4IEEeeIXg7bDQipAZOABQIQjczpAtN122/lyA9bCstr/1AMzVKZQFUCE1gpHc+pCnaEFq/hwpjbzIHUzQER+nIrOM+oAaMQkxm98ntBwEUJABFi1cod3zIu0UaghwuT24YcfZqqW3uWYAgJEAkQCRAkGLflsHJnMcixNayG5KVOmeP8ZnHoZgG25NjtC77TTTn5wXn/99d23337rZs6cGTn1svQcE5rxF2CAwQCtD2kQQkCEeSdVeOKJJ9xqq63m82GPIYABprennnqqQvQ4ICI//IXQvgAgKA9ADkAA0MJXxkxmbCNAHAARO14bcOJOHJzIDXxUyDT4EQIizF/UNX5xiCd+TOSFYzNghDw47bxnz57+Oe9CQAQARRvEc+jMnRV/4cozQBWmSOjCCjO0Y0Z3A7HmLC1AFDRaLfwrQCRAZH0zH3dpiBIMtgSIakHi5jhLlm6zIouVY2eddZa78MIL/YVPjq0KO/zwwyPA0K9fPz8w459y8skn+6XsrJxCQ4N2pEuXLt7hl2JWBRABXNBuAATswpTFwBKGOCDi3bvvvhs5K+Pkvf/++3u/I5az47DMUR8AJ4TICius4NNHq8LKNPx68K9h2wHisi1AphACIgAMdcX3yi40XR988IHba6+9fD6saGO7AZzWeWcr6qhjCIgAb9A8NKntvPPOjp2xLQD09thjD58uPl2Y9x566CHv98T+TLQVbUcQIDKq1c5dgEiAKB9AyNIUIBIgqh3JVia5st+NaVkMkNgd00+HDh0qbMw4Z84cd+SRR3qTEO9XXHFFf5mzNb4wBmaqAojo6JjKLE/uI0eOXIz6qQARgz/aE/NfCtMAzKH9IqD9ApygIaLMgDkAC07W/Ga7AMxNmUIIiMJ87H98eV588UUPvgBnPOfOKjiW22OWs7ghIKL+LK1fe+21/Xsc2wE8ACULxAH84ZdEeWkvyg/IA0jxDaCKIEBkVKuduwCRAJGBl3zcBYgEiGpHspVRrph00JZgdsJRd5NNNvH+L6xuSmVKQuvC4N+9e3dvGsJMhIPzq6++WoFqOPQCdoYPH+4AUukCq6OIx8aBLCXndzygEeG9rbwK3zMIAaLQrFB2tED33HOPX+0VxmMDw759+7pOnTp5oEd9WR6P2aqygJYGLRhlSHWhdcJcSCAf0kbTBV2oO/5XbJiI87eZtyxP6nvEEUd4QATABHylCgYA0UJhkgN8nnfeed6Z2uLTNvfff7+nJ3ctszfKFOYuQCRAlA8gZGkKEAkQFUaSKRdRoMAUAGxiGkNDZCvhuJuGrcDFUXY5oIAAkQCRgZd83AWIBIhyIKaUhCiQPArguM6Gi/gk4TC97LLL+r2LkldSlaiqFBAgEiDKBxCyNAWIBIiqKosUTxQoKgqwQSOrx/A/wrzGJo6YxRSKlwICRAJEBl7ycRcgEiAqXumokosCokBZUUCASIAoH0DI0hQgEiAqK4GqyooCokDxUkCASIDIwEs+7gJEAkTFKx1VclFAFCgrCggQCRDlAwhZmgJEAkRlJVBVWVFAFCheCggQCRAZeMnHXYAo4YCIzefY5Ze9bHSJBuIB8UA58wB7TK211lrulFNO8ftVPfroo44jXfIxOCrN8gNfAkQJBkSTJk3yu/5yuje7F3NSOsc86BINxAPigXLkAWQhKwdPP/10AaIEj13FCiYFiBLMVPPmzfM7Fk+cONG98MIL/sRwzoZidqRLNBAPiAfKkQcAQ1dffbUAUYLHLgEiNU5e1bbsn8Lhlhy9MGzYMF2igXhAPFDWPMARLzKZlZ9ZK59gSxqiIgFyAKKpU6f6wy05Q0mXaCAeEA+UOw9w5h9n1eVzkFTa5QO6BIiKBBBxqCQmtJkzZ/pDLjnoUpdoIB4QD5QzD3C47t9//y1AVCTjWNLBpQBRkTASgEiXaCAeEA+IBxbngaQPtCpfcWiZBIiKBBCpQxVHh1I7qZ3EA+IB8UBx8oAAkQBRRnXzRx995M106uDF2cHVbuXZbgsWLHCTJ092bGQoHihPHlC7Z9/uAkQCRGkF5qJFi1zfvn39ShZ1ruw7l2gmmtUWD+BX1K1bN/fFF1+k7d+1VTblq36RVB4QIBIgSiswAUSHHHKIGzRoUNo4SWVslUtCt5x5YPr06W7bbbd1H374ofquZLx4oIo8IEBURUKVo3AFEB166KFu8ODB6lDiE/FAEfGAAJEmBOU4ZtW0zgJERSTkatrY2X4vQCShmi3PKH4yeEaAKBntoP5QXO0gQCRAlHbmL0BUXJ1ZwlftZTwgQCReMF7Qveq8IEAkQCRAJB5IywMSplUXpkmilQBRcbZbknioHMsiQKTBMO1gKA2RhGo5CsVSqLMAkfpuKfBxoesgQCRAJEAkHkjLA4UWSMovNwO5AFFu6Ch+LC86ChBpMEw7GEpDVF7CQMK/dNpbgKh02lL9snBtKUAkQCRAJB5IywMSxoUTxrmktQBRcbZbLnlAaWXPAwJEGgzTDobSEGXfoSSERLMk8IAAkfgwCXxYbGUQIBIgEiASD6TlgWITaCrvf4CAAJEAkfpC9jwgQKTBMO1gKA1R9h1KQkg0SwIPCBCJD5PAh8VWBgEiASIBIvFAWh4oNoGm8v4HCAgQCRCpL2TPAwJEGgz9YPjPP/+4+LVw4UJ/uCtnmcXf8VsdLvsOJ5qJZrnmgVR9MwREqd7nugxKT3xdCjwgQCRA5IHNggUL3IgRI1y7du2iq23btm7ZZZd1zZs3j57xfsstt3Svv/66AJF4RzyQAB74+OOP3SabbFKhj6677rquSZMmbp111omer7/++u7qq692f//9t9otAe1WCgCi1OogQKSOEQnH8ePHuxYtWrg6depkvABFv/zyS/RdqXUK1Uez3WLiAQDOZpttlrHP0qeXWWYZ9+ijj3ptbzHVT2VVfywUDwgQCRBFwAY1+4477lipYB04cGD0TaEYVflIKIoH0vPA8OHDK+23nTt3dp9++qn6rmS+eCANDwgQpSFMOQpfZpoDBgxw9erVSytcl1xySTd16lR1KPGNeCBBPPDTTz+5lVZaKW2/rV+/vuvfv7/7888/1W4JardyHGeSXGcBInWOCgJy4sSJ3vcgndlsjz32kMpdPFOBZ5Is4MqlbDhOH3HEEWkBEb6A48aNU99V31XfzcADAkQZiFMuwjSs5x9//OHat2+fUrA2aNDAC9Uwvv5Pb8YQbUSbQvLA2LFjXePGjVP23fXWW8/NmTNHg6HkvXggAw8IEGUgTiGFWZLyuvLKK1MK1TZt2rhvvvlGHUo8Ix5IIA/gH9SxY8eUfRdzWZJkjMqiyUISeUCAKIGCrbYZZfbs2W755ZdfTLD27t3boUGq7fIpfwlT8cDiPPD777+7fv36ubp161bou/gPsTRfNFucZqKJaBLygACRAFFKQXnYYYdVEKpNmzZ1o0ePlg+C+CUlv4RCRf/X3iAzZswY16xZswp9l5WjapPaaxPRvnhoL0CkAS6lsHz44Yddw4YNI8G66aabuilTpqSMqw5fPB1ebVXabcXWGaHZDG3RqFGj1G8l58UDVeABAaIqEKkcB5Fp06ZVcK7u1auXluyKVyRUE84DHLfTt2/faCLTsmVLB0gqRxmmOpc2+M9H+woQJVzA5aPRq5LmvHnz3DHHHBMJ1oceekhCVbwiHigCHnjxxRejfstSfPpyVfq84ghAlDsPCBAVgYCrLSZF1Y5z9XLLLefmzp0roSpeEQ8UAQ+wwSrnli211FLu5ptvlt9fEbRZbcl45VsRBAsQqbOkHeRYxsueRKeddlraOOpQFTuU6CF6JIEHrrjiCrfhhhu6d955R31XMl48UEUeECCqIqGSIOQKXQZmmscdd5x8EMQjEqhFxgMzZsxwffr0kd9fkbVboWW88qs4gRMgUofJONjpVPuKHUYCRPQoBh5YtGiRzNyS7RllezHwcaHLKECkTqNOIx4QD4gHxAPigbLnAQEidYKy7wSFnoUoP2mZxAPiAfFA8nhAgEiASIBIPCAeEA+IB8QDZc8DAkTqBGXfCTRTS95MTW2iNhEPiAcKzQMCRAJEAkTiAfGAeEA8IB4oex4QIFInKPtOUOhZiPLTzFc8IB4QDySPB3ICiDgr59VXX9UlGogHsuCBDz74wC1YsKBsASlLw7/66ivxTBY8IzmrcSafPPDll1+WrTwCoOYEELVr186ts846bostttAlGogHqsADG220kWvRooUDFJXrTHHmzJluzz33dMgPyQ7JTvFA7fLAuuuu61ZeeWU3f/78spVJOQFEHTt2dHfffbdjxqdLNBAPVM4Dn332mdt1113d+++/X7bCB0DUrVs3ryESz1TOM6KRaJRPHuAAbwGi/3Nbbrmlmz9vdtqrTqaXvAMQ3XPPPU5BFBAFqkaBqVOnekD03nvvuYULF/qJxD///FNW4MgA0WuvvVY1oimWKCAK5I0CaEcARL///nvZyqScaYgEiPLGp0q4BCkAINp5553dfffd515//XX30UcfeUFUTuYzAaISZGxVqWgpABhYYYUV3EsvveTefPNN79+HRqqcZJIAUdGyrwpezBQAEO20005u0KBB7qabbnKPPfaYmzNnTlkJHwGiYuZglb3UKAAYWHbZZd2NN97obr31VofmlgO+BYgqms9kMis1zld9ap0CBojOO+88N3z4cPfII4+4H374oayEjwBRrbOhCiAKRBQwQHT99de7m2++2fv2CRBVBEO4CAkQRSyjf0SB3FBAgOjfToAoN7ykVESBXFBAgChHy+7lVJ0LdlQa5UQBASIBonLid9U1+RQQIBIgSj6XxkrISiRm1tOmTXNff/117G3x//zrr7/ct99+6+tHPbFfZxNwAmRzMS4zQWXzfaHiChDVHiCCR+Azrj///DPyk4i3/XPPPeduueUWN3r06PirsvrNKkjoZDSzu5lTipkY1Gv8+PG+ne+9917366+/FnN1alR2AaIyAURjxoxxffr08ddJJ53k+vfv7y655BL3xBNPuNmzZ/slzzXipAJ+TAc+8cQT/V4J++67b05zfvvtt12/fv08nU4++WT39NNPLwZIvvnmG3f88cdH9Bw5cmROy/Dpp5+6ww47zNePNmPwyiYg0Dp16uS/v/jii/1gl833hYorQFQ7gAiAPWHCBHfwwQf7TSHZGPKqq65y8+bNW6zpDz/8cNe4cWO31lprLfauug/InxWFH374ofvuu++qm0xOv/vpp598eSgTm/LFw1133RXRCnrZtd9++/lFAUxgsp24xPOord8sZOjatatv57Zt27ovvvgiKgq7qNNW7BlWDkGAqEwA0QknnODq1KmT9gJYJFmbEHbGP/74w+24446+LmussUb4qsb/M0Nq1KhRRKcDDjjAzZo1q0K6AMqQlgceeGCF9zX98e6777oNN9zQ58EqrGwBEcLdyterVy9/NEZNy5SP7wWIagcQcVTK6aefHvEIvNK+fXv38ccfL9bMhxxyiI+3yiqrLPauug/Q8FofO+6446qbTE6/GzFiRESPt956a7G0cfy3PpXqvvHGGxctaAAQ7bXXXr5+7NRMv7QA8KO+LVu2tEclfRcgKkNAxJEJu+yyi9t6663dSiutFHV0OgUzgnhg5oNq2NTEqI/jsyF+I+jCjfUQvHzDgM57LlPV2/lVYV6WhuWFJoh4pBkG0rzgggvcoYce6jVF9s6+z1QGi5vuHgdEzZo1c5gNLGCmA4SFQjEOiKyuVo+QBpaO3a3MRlvKngkQER8aQpd09BEgSt6BicYT8XttOFUD8PF5hIfr1avn70sssYTfD8r40u5xQMSGdZhi0SLAf9THAv/Dv3PnzvWD6ieffOLNvr/88ktkkkN2MKExQARgJx0uMz/B3/aM9OgbmMY///zzSI4Q98cff/TlAMhRHvLl23igXORLfDQdaGC///77KD/Sv+GGG6I+/corr0T5W3ohIIJ2aHD/9a9/uVVXXTX6jq0j4oF8mWiSL9fPP/8cyUiLSx6UgToTn2vGjBm+nIAVK4PF506diE+8sP7QKx6QFfAZ9eZCK0cbWFxoyW7xEydO9PuBoSHjHenvvvvuvn5rrrlmRJNQdlMOykcb0z5GW+rAOwvWjqRJfnyDZQIe4VurP/fwO/43Wce7fAcBojIERAz6MBqmFUxm2267rWf6unXrelNayHQwI+piNEwIL65TTjnFm5J4Z4Hdhk899VSHmenxxx93Dz74oGP2d8wxx7hLL73UCysEEkCGZ8cee6zf54EOQqA8dI6zzjrL9e7d28chL9IYMGCAF6zWUcj3uuuuc2hqBg4caEVwzzzzjH/G7Jf9I9hHwsqAQKPjVRZCQLTUUkt5uhx11FH+Mzr1tdde64U5A0jDhg39+zggQqDceeedEc2oL7TBTBEXbpgpLr/8cl9f4l100UXenp9KQ0T9p0yZ4usM/Yw+11xzTQU1vwCRAFEmPn/qqaciQILZbMkll/R8jNkkHkJAhDnpyCOP9GBqs802830Y8G79El7G3+iggw5ym266qcP8wtlc/O7bt68HBvRR+NyA2HrrreeOPvpofyFn6DsMzPaMPJEpTN7Ikz6IyXrw4MEOcxXPyKdDhw4+nyuuuMLB/xYoG0AEmUB8JoP0rd12281hTgasIENI3yY5aMvJH5lHfyOEgIg9aizgdmDfIacskC/lxPy+9957ew0cWrj999/f77kFeLPAQaXUEVl1++23e3mJBnyDDTbw344aNSoCL3xD2u+8846Pv8MOO/j6QwfakuXiAA4LABTSZQNU6k2aaJ1pR/iA8Ntvv3m5Rp3PPvtsD1SgGb9XX311X7+ll146ahPoZsAFYDlkyBCHJh0tGelzHA/ybvLkyVG5iYebBmmijbvtttvcHnvs4c/wQ05Tbt4h1yiPBYDbaaed5t/RtvkOAkRlCohCxmJ21bRpU8/4zZs397MH3gM8EIjLL7+8fwdgslkl25vDyBZgJHwNiLPJJps4ZhQmKJo0aeI7GsLAZoa8Iw0DZ3Ry/Jzq169fIS/i8YwObSr9dCYzE04AGQQc2h0rA+AFIUA+mUIIiJgBMlggDBBuzMYQbqRJZzZhEQIihBEDwHLLLVehHgwAzCYRbhaYRRHXBiTShVb4/2Ci4HdoMsOWzwBiQMzag/oCag3wCRAJEBmPpbpzdhq8BU8CaOAxfsNH8HkYDBDRtwEexnPE539Ahi1swN/O5Ag8itxgkzv6L30IUwzgvUGDBj4/0ggvJkJM0tC02HNABN+TF7IDQDRp0iQ/uPObfkY+Jleow2WXXeZlF32dgR2zj8kVKzd3ND3IPgZxyy+8k9aTTz7pyZEKEFEWJnj2DXtpWUCLBl2hMRd0WGaZZXxcaMQk0QJAkHoQD5kIrUI6s3MyQNICJj1MWBbH7pSDb5koMvEK5SRxyJ+0kDH8Rl4SUpnM2KnZ6hW/b7XVVn5HebRd+DjCG/E41GW77bbzoMjaYbXVVvPxkG2Uw76hvYYOHRrVh/3ILDCxNX7Bzy3fQYBIgMjzGIDDGBRkDxMzE7LBF4DBqeQvvviiAzQRF0bFhEQwQMRzOhyA4Ywzzoji8hxBAChBiJqA6tGjh1cjkx+aJWYJzJjozKTds2dPnxflYGaCEAo7euhDZICIvBBAgA1mF1ZeniOoMoUQECEEme3wHeWio5Iu2iGEv4E+A0TUgU5LfAQOgoP8WMFhpkmeowkjLlok4nKtv/767o033vAOjNtss00kHAwQUWfs+8SlPszEAUAIVoQgzxlQAFkCRAJE6XgcUG/goXPnzn5gGzZsWMRv7BoOb1owQAR/MdFhUvL888+7tdde2/Mcff2OO+7w/fLcc8/1z4gLeCcdLgZcNDSALQY4Bj/r/4AStKJoGej/aB5CQAQogcfRLnO8CwM9IAYNtJl2kAnUyyYoDMTIDiYnIWDBMfyBBx7w2mr6LwsjMB+hsWDyQ7m5WLBBmRioyYsQAiJkAprsffbZx8sC6kJfx2REoIzQApkFWCAtygItSBsZAN3ModwAEXkziUMuAAwpn4EBgCG04WLCRFzSR57S35FbgCmekzYACjlucofJKCYqykBZkEnjxo3z5U0FiGirCy+80LVp08anCWCj3agLWiwmy4BFK9+KK67o86TdkV+Ug+vMM8/0+QFMDRDxHL4CIOOigRYQmU/78A5NF+lTVuQuz6CLAW9f6Dz9ESASIPKsFQoEhBZqSxgTZmTApZNaCIUDgowQAiLSQkUKUwOKSIOL/wkM5Ka9QbjQ+WB+BBuCDxs+pw7Tya+++uroe8ARavnKABGzE9SzdkBfKKgRhJlCCIgANwhFhBqXOR4CgBBmcUBEfl26dPHlBfyxVJl6YRbEzGh0ANgBXBCoPANgsSuqmdPGjh0bgTgDRAwWxLW6AbRY2YIAQl3OO1TWCA0BIgGiVDwOL8LPxocMbvAhKyttsGIANE0jaRgggkcZ1CwAUiwdzEL0SUwa9gyTCaCdc+rwT2EQtkA/N1CGOSceQkBkMiOMw/cAHs6OpN+wypPL/KLWWWcdhwmf/miDMyCEo2HCAD24CDVxqkbjgfyztAAYpkkGSGDeR65wQXNoCZ3M9GaAiDIeccQRnpaUib6M6ZG4AEPqxKTUJngAVH4ToD80Rz4A0DB9AdDMx6ldu3YeWAJmcJPApwg6ElIBIv/COa9dI/9UTtW0u7U3Ji8LnAFmzw10h4CI8mOqDAMAENAGDVq3bu3QgsGHVlfeESffQYBIgMh3ZBMmdCjszgy2NrgzywgdizH7GMMjMAkhIMKWjgBE2IZamxdeeCHiZxPA2MqZJdA5mdWgPaJDoN4FhJjgJD+cqLG9VwaIEB6UEQFFuqjprbyPPvpoVIZU/4SACH8hZllob+x70sbHIRUgAtiZAGO2YzSjHJTBZsXMeqgDAIZ0AYemmqdMaIosTwNENtjQPvgCoNGzi9kZ6TBrZ3ATIBIgSsXbTHIYROEVBmomOQyazM7hM57T5+jLFgwQIQNsAOUd/Ep8Lkxw9Ev6Cj469pw72gr6BL4hTHYIpGP9ujJARF+LB8x8TKQsDfoVmgoGU/Jk8MasRn1N6wAIASClC9kAInytmGShtSFP0gbIoIEhIM8AAkYHymmXgSHeYW4iGCBC43POOedEwAp64c9kdITmyBRzYcAUiGaMgIxh8kg+lAnNOxNSNFnIDCsL72hL6Pfss8/6b6sLiKxspE2bWIDOlicyiXYIARGO2qkCE0jKD89ceeWVjokhaeNSgNO7TRhTfZurZwJEAkT+ZF9jYAQIAgtAZGY0OlBow0ZFbh2M1RYEA0R0ONTUdFAAUTgjDZezxgER6N9AAJ0C1T2qecxUlhfCuSqACLMW/kgE6sIMzdLIFhDxfbjMHlMgM5dUgAia4dxJXghlEzikgbbJaMzggLrfwBOAhlkbNCOgocNXiHQMECEg+A19oR20il+ASwYlASIBIs9IsT/wETkiwAAAIABJREFUI0DI+IiBB+0vIN9MH/AXZhh4lmCAiEGYAdYC5hbS4WLwpf/yDX4l9L3NN9/c+4kYzzPY0w8JxKOP821lgCgcaC1vTMOWNxMY8qRPmpY7BETWjyiHmagsnfCeDSBCG4JsQ4PTqlUrXxboZ0ASObD99tv752iRmQjiahC/TONmgIg0MC2aHECLYqu8AAXIQ3x7zP+GlcJmRoKmaO0AXLQhMoZAm6FNRkON5gzAa7QD0JFXdQERmnJLi7pZoNyUgXfIKLT6ISAyFwOLb3cmibQd36E9B7TxPxNAAG4hggBRGQIiBBOdBHMLpikTTtzRZBBgTlZXwdgITrQlaH1A6di2rSOA3AkhIML2nC0gwp5snej888/3QhOhY6Yi8qsNQETdABkARQQKKnqETypAhGkMDRdlZZBBJU4dmCExaBjNeA59mFXyjBkuwBH/AGiMs7oNXAaIXn75ZR8PwY4GDiFDObj4jpm+7R8iQCRA5Dtl8Ac+RKsBr9HPMEXA03YxcJv2AqBu/jAGiOBT+BJeRnOBtpZn8CMmYAZe3gEG4GHjTcxmTFDIE5MOgXfmYIxpCT+d6dOnRyaR0GSWChCZNouymx8RmhLzazJARH+0clJW8seUT3+hDvjy8T8hnOQBUDDJkaaBwNBNwExdfIcm2uQWIMjoQH/nOZMdVpdCf+qN/AQwIFMsGCCijPg/AR4oF9ogW1xBeyFzKBP1Ji7v8KWinvR909jQjpSR/HhOu1h7cEfDxffEg36ZAJHJMybFjBfQBdohvxhHrO5oCUkHYBxuYQD4oXwhIMK3M11gnKFsgEMu0u/evbsvZ7pvcvlcgKgMARHOh8yc6GTG0MxA0IQwmFpgWaY57LISAwdlBmMEHEwLcjc1cU0BEXujmFMgfgwIbxzyTONCfrUFiOj8CE9MiWbHTgWIoBuaHgOY0Iw6YGu31TfY8rHfE5jtATapGwMS9GWGiPkSYcBzA0QISFsdRFo4ZyKkoRNLdpmpsgyfIEAkQOQZIfjDBIgl2vCU+bcxwNnFAG0mcsAKWh4GTwNEACn6PSCeQdI0DcgRTG70ETQhOBfjvwdvcrG8He0Q/GwaIoplJiXkD0AGU5tpdSsDRGg/qAffMjkjH7QJJqsMEFF+JlS2bxhloD/RX9BA4F8EQCIAvAwQMplBs4HfimlxyIM8uUJAxGBvpm/eYYaEFmi2W7Ro4cuImRI5QBr49tgKVWueEBAhDygj2xSY9ol06eeky8XkyeQ2cgPTG21HGxEX+QFwAnzhgI3GD1Mc+ZOOpYt8AqhlAkR8R5pc1Ae6mA8koNn8F3mPjyU7m5usI77xUVUBERYA0xKRJnyG6axQQYCoTACRrW6gI9lFB0II0IFgOjoGHc4Csx2emwO0dQy+R/Dh/GwBRqIzM2OMa4is88ZNZjyn82Nzp2NiFjJBS14IZhNExA19iPiOZwgEC/gr8YwOef/99/vHCMVwJlMVkxllIJ1QgFsedgcQ0XGJF854mB3jSGrOgCHNEMDhjBeBhZOjgSLiohlidok2irSpJ/EIzL4Rbgwwli534tGOCCqCASKeA5JslutfJugPs1fqRxuzZJlBhNmzCf5yuBdiY0boCFDH1AJPAMrRGsQD/G78xCCLLwh9jm/gZ7SjBhqIB9/yDFBAwCRnQD7kT2QCg6VNnohLeQAqvCN9JhF2BA6AiGdcYX+x8iJ3Ql8l4mG6x4TE/2hQzMSCphtZwOAclon/AQu2Cz11YOJC/SxvJmPmtMxeRTznuxAQUSbTEvGeSR1ponnBrGj+PmHeyN0tt9zSqhP5EEE7tDfhJJA0WdyCWdACbYe/EMAtTBda0p9sexJkH6DHyh3GpZzmZI7cR1NHvPhO1ThyMz5QZt5zYX5DznFhKiOPMG3+h9doR+MzABETcb4P5aXVKbwDGi09JseWRhgnX/8LEJUJIKoJAwFW8GthA0FAC5qSfAVs4tjoETo2e8tXXvlMF2HBzBmQxkDD4B+CzTBvVNCYI6hzuMInjBP+TxxAFytW2ODM/AjCOMXwvwBR7RzdURPegFfhOYAQYCMe4HtADH0YgA6fhoN5PH51f6MxZQk9fjO2HL+ytNDyYpJhgYJptSr7pjrvw37OZIZVdrgiID/xxQQshcE0RIAxgBdABgdqNEHQkt+pAvQnHnKA9kAOhHnbN2i1GehJjzJgfqedchkweSLnSD+cKFc1D8ptF21jLgOUuZBBgEiAqJD8prxEgYgCAkTFB4iixtM/OaNAHBDlLOEiSgjQhwUBLbGdu4llwjR4haqKAJEAUaF4TfmIAhUoIEAkQFSBIcr0hwDRf1bDYRo0dwBMqOYCUEi2ECASICokvykvUSCigACRAFHEDGX8D75GOJmzug+TXjkGTHisAsQ3DH8mfD1TmWTzTRsBIgGifPOY0hcFUlJAgEiAKCVj6KEoUEsUECASIKol1lO25U4BASIBonLvA6p/siggQCRAlCyOVGnKhgICRAJEZcPsqmhRUECASICoKBhVhSw9CggQCRCVHlerRsVMAQGiHAEiNtNiz4QPP/xQl2ggHqgCD4wfP95vUFfOGzOywSfHG9x9993imSrwjOSrxpd88gBO7ezIzj5a7O3Enkg4fNseSeVwBxSycej8ebPTXnUyveQdu6RylMXWW2/td3HmcEO2NdclGogHUvMAh0uyWzE7m5frTtXsEszu46wwkuxIzSfqP6JLoXiAnbE5/YDz2ASIagCIOH7CkCuoEoIOHjxYl2ggHsjAAxdccIGfjZUrIGIXeM6dCmUHs1PJDslO8UDt8MCQIUPcsGHDBIhqoiEKVWmowTmFGKLqEg3EA5XzQLkColBu8D9nm3H2lnimcp4RjUSjfPKANEQ10BCFgo3DNTn7i3NmdIkG4oHKeeCpp57yW/dz7lLYl8rtf879QsMsnqmcZ0Qj0SifPMC5c5x/hxa3nORQTnyIQoLhhMUJvRzCqUs0EA9UjQfmzZtXdsInlBv8L9lRNV5RnxKd8s0Dc+fO9Qfxcs5avJ+W8u+cA6JSJpbq9r9TmUUL0UI8IB4QD4gHSokHBIj+LYYuJYZWXcTP4gHxgHhAPFAdHhAgEiBKtEoUlW252bGr05H1jQaApPEA/XbRokWJli9Jo5nKU7v9WIBIgCjRAuubb75xDz/8cKLLKCFWu0JM9E8m/Tm1HcdctU8y20ftsni7CBAJECVaYI0dO9btuOOOiS6jBMvigkU0EU3YsJel4eIF8UKx8IAAkQBRYgXW/Pnz3emnn+7q1q3rl2MXS6dSOTUAlDsPfPDBB65OnTruoIMOcqxYKnd6qP7FIRMEiASIEiusvvjiC3+kA4K1R48ertyWgEqIFocQVTst3k7nnHOOB0Tt2rVzb7zxRmJljNpu8bYrZ5oIEAkQJVZYsWFho0aNvGBdYYUV/DEP5dxZVXcJ72LggR9++MFttNFGvt82aNDAjRgxQs7VGmcSO86EfUqASIyaWEbt27evF6poiJZYYgk3atSoxJY17FT6X8ClnHmAQaV58+ZR3z344IP9Jn/lTBPVvThkggCRAFEiQQY7N3PyMmCICz+iXr16uT/++COR5ZXAKw6Bp3bKbzstWLDA9e/f36EZsr670korSburcaYo5LYAkRg1kYx69913RwLVBOvGG2/sJk2alMjyaqDN70Ar+hYHfadPn+46d+68WN+94YYb1G811iSeBwSIxKSJZNIttthiMaHapEkTd9ddd8kfQTybSJ4VaPu3e+mll9wyyyyzWN9t37692kz9NvE8IEAkJk0ck06ePHkxgWpaoiOPPNKV+6nwGniLQ1tSju101llnpe27EydOTJysKcc2Up3Tyw8BIgGiRAkpltYPGTIkrVBdffXV3dSpUxNVZgmY9AJGtCkf2rBvWJs2bdL23d69e0u7q/Em0bJbgEgMmigG/f77712XLl3SClWcq4cPH56oMmvQL59BX22dvq0fe+wxV69evbR9t23btu7rr79W39WYk1geECAScyaGOdEOjR8/3qEFMhNZqvtmm22mmab4NjF8K5D0b98fOWInVX+1Z02bNnVjxozRBqvqu4ntuwJEYs7EMCcq90GDBlVYsmvCNLyjJdLut+ln6hqgRZtC88D777/v6tevnxEQ0W/79evn2FKj0OVTfuoTVeEBASIBosQIJ06233bbbTMKVQNGJ510UmLKXZWOpjgSyKXMA+edd16V+i3a3U8//VR9V+NOInlAgEiMmRjGZFO3GTNmOPYysWvcuHFugw028ELUnnGfNWtWYspdygOd6iYgVxUemDNnTtRnrZ8efvjhXiNkv7l/++237q+//lLf1biTSB4QIBJjJpIxTQi/9tprjg0ZMafZM901SIsHks8Dxx13nBs4cKD6rcaYouEBASIxa6KZVYAo+QOfwInaKBUPCBCJL1LxRZKfCRAJEAkQiQcSzQNJFqAqW/pBX4AoPW3EN8mkjQCRBsNED4bSECVTcEigq10q4wEBIvFIZTyStPcCRAJEAkTigUTzQNKEpspTtYFegKhqdBI/JYdOAkQaDBM9GEpDlBxhIcGttsiGBwSIxC/Z8EsS4goQCRAJEIkHEs0DSRCUKkP2g7sAUfY0E5/VLs0EiDQYJnowlIaodgWEBLToX10eECAS71SXd2rrOwEiASIBIvFAonmgtoSj8q3ZgC5AVDP6if8KTz8BIg2GiR4MpSEqvFCQIBbNc8EDAkTio1zwUSHTECASIBIgEg8kmgcKKRCVV+4GcQGi3NFSfFkYWgoQaTBM9GAoDVFhBIEEruicax4QIBJP5Zqn8p2eAJEAkQCReCDRPJBvIaj08zNwCxDlh67i1/zRVYBIg2GiB0NpiPLX+SVYRdt88sCxxx6rw101viR6fInzvwCRGDbRDCtApEE7LrT0uzh4YvTo0Y5L7VUc7aV2+rcTIBIgSrTAEiCSMJWgFg+IB8QDheABAaIiB0QPPPCAO+aYYxz2+r///jvR4KY6DC1AJEFYHb7RN+Ib8YB4IFseECAqckDUv39/V7duXVe/fn33119/CRAVeXtm24EVX0JfPCAeEA/khgcEiAo0gP7222/u/fffd5MmTXKTJ0923377rZs9e7b74IMP/PM5c+ZEYOaff/5xc+fOdR999JGPb99Mnz49irNgwQL/vkePHq5OnTquXr167u2333bvvfeef/7nn3860vn555/dlClTfDrvvvuuz5s4n376aVFolKQhyk1Hl8AUHcUD4gHxQGYeECAqACD66aefXN++fd2SSy4ZgZddd93VsQpj2WWXdUsvvbQbOXJkBHa+++47d8IJJ7hmzZp57Q+ABw1Qhw4d3N133+0WLlzoAVXLli09EOI91xJLLOGvtdZaywMeQBimtKZNm0bpoE1q0KCBW3PNNd2MGTOiPJPaUQSIMnfgpLabyqV2Ew+IB4qNBwSICgCIzj333AiQAFo6d+7sAckyyyzjAQ3Phg8fHoGT7t27++eAoBNPPNGNGDHCbb/99j6NFVdc0T322GMeEK266qoeCBkgsvtqq63mPvnkE/fII4+4hg0b+jh77bWXu+OOO9yVV17pdtllF5/+1KlTozyTyrgCRBKqSeVNlUu8KR4oLR4QIMozIEILY8BlueWWc+PHj/cg5JtvvnF77LFHpNkxQDRhwoQI5Fx44YURYAG8rL322v7dQQcd5ND+4ER96qmn+meYzH7//Xf/jOeYy/gekASwimuDMKmhaUp6hxYgKi2BE/Lb/Pnz/bLso446yvXs2VOXaCAeKEEeoH/jLhL2/aT+L0CUZ0D00ksvuRVWWMEDkx133NF9+eWXnjEAIxdddJHX4IQaosGDB/u4jRo1cr1793ZXX321v9DsoPkB4GyzzTbOtDs4VfMMQBR3qkaTRNq8J70tttjCnX322V5zBIMCmpLKmFYuAaLSBUSYhtFcbrfddq5r1666RAPxQAnyAC4cTNxNpif5LkCUZ0D0/PPPu+WXX96DEjRCOFPDEICRq666ygOVEBCddtppPi6+PvgXAabCi7S6dOniTWKkkwkQ/fHHH36nWHyNAEV2kXarVq0cYCPJzEnZBIhKFxDNnDnTdevWzb366qu+P9AndIkG4oHS4gH8WBmnkj7WUD4BojwDog8//NCttNJKHoxsuOGGfrUXhMfkhX8Q4CQERIAk0+hce+21ju/jF1omTF6kkwkQIVgwo+FP9MYbb7gnnnjCHX744d6pmjxOP/30xDOpAFHpAyLaWEEUEAVKkwIAIhYVYSI3t46kgiMBojwDIpbH77zzzpF2BrMZAwCO1o0bN/bPQ0DEcvgmTZr45/vuu6/D1+iHH35w33//vfvqq68cGzHecMMNEZDB7GaaH8xtLNXnG/yImIG/8MIL/jdL/ElnzJgxEUBjJVtSGdPKJUAkQFSaw4RqJQqUBwUARAcccIB79tln3YsvvujHMpPvSbsLEOUZENHgb731lmvbtm0EXAAwzZs3d5tuuqnX1oSAiPgXX3yxN5cRj6X3+AxttNFGftk+DtJDhw6NgMxzzz0XmeQMGAGkZs2a5fc4QgNFGltuuaVPh/+Jx9L7hx56KEonaYxp5REgEiAqj2FDtRQFSpMCACLcPFg4dNddd0X+rybjk3QXICoAIMJ0xcA+YMAAt88++/i9gQAj55xzjneqxuGZJfHGGKgV77zzTrf33ntH2iL2Ktpqq628IzYbO1rcX3/91e9NdPTRRzv2NkIbNXDgQL8hI1ohVu+sv/76kZmMdHbffXd32223eRWmpZPUuwCRAFFpDhOqlShQHhQQICoAyEjqAJ6qXNhO2YkaMxb/sxoMsxbABG3NUkst5dhF2r4FQC1atMjhFM2mjnzLfd68eX6pPO/jcUmT+IAp26WaePwPaPrxxx+jdIgXpmFpJfEuQCRAVB7DhmopCpQmBQSIBIgiwALIwJeHDRK33XZbh58PmqHVV189Ml1xOGuxAJRCgyYBIgGi0hwmVCtRoDwoUBNAhGLgs88+85P5Qow9Y8eO9ZaY+fNmu3RXnXQv7HkhClrMeXAuWceOHf0Se/PzASDxDICE1ihf9QNo/fLLL96nCKdqnLyzzYvy4dTNVZ3vs80vjC9AJEBUk2EDXmJC8uijj7qbb77Zm5dZ5k9f4F11w8cff+w3PmXzU1Z9xgP9jn6PLx+mazS0aIjjAc0vaXC9/vrr8dcZf6MVRoDzLX6H5FmsgYGPNoFW4cVZjOzZVuyB8yMvv/xyN2TIEMfedOUUqguI6LeXXnqp97+dOHFi1uNWOI5U9f97773X74tm2CbVXYCohhovOjurx2jUp59+2l+s/uJZfDPFqjZcVeMBYFjRBvhiEzw6ZlW/tXjPPPOM/540qvO9pVOduwCRAFF1Bw/47ayzzvK8u8oqqziOymFPL3Z8Z5NStp2obsAHkAULXPTpeGBQZyCgz3DhVMoKm3hgg1VLh01YswkArkMOOcR/jx9iMQMHgONOO+0U0Quabb755q5Tp07+OTIM14FiDfiEsoccbc3KYAtoP/r06eOvd955xx6X1D1bQASwZ6sZxiv4mj5bKEB00003eT/fVEDIngkQ1RAQVQcI5OobANdhhx3mzXOY6V555ZWsAdH999/vv0e7VZ3va1IXASIBouqMDvCc7frOIMRWFhxyzIXPHqss2QKjuuHBBx+M+kQqQIS2h3MHTSPMnUE9DloARBanOoCIjS35Ho1zPO3q1q02vsOnkoHPaMFB2GxLwg789gzggLa6GMM999zjz6+E/6644oqoCmzca/UjTimGbAARPq9PPfWUP/Dc6FIoQET/YUES29EY+El1FyDKMSDCORqVO7MitEcIb4DLF1984S9U66lABJs5olViryHUy/ZtGBd0jZqZ9NkVGwbLBIiIz2wWRI5wTuVwLUBUuqAk5J1C/49KnAEd0JvrQP9Au4BQ5egATEu26GDKlCnexHTeeedVyJb6o4VgKwuOvWGhA/2HfvnBBx94XwY0roTKABFmLPJmQLd9xTbbbDO/MCLMtDJAhBYIE9/jjz/uy8T/lJGy8i4ERMgQzHdPPvmkPzORtFOZ0ZAbrFTlXEXqiQkH010YAB5oL6g3aUI7JkPE59gfowPHrwAIyfPrr7+OkiAP6Mz306ZNq1AOyoR84t3nn3/u0woBETv0AxQefvhhd+yxx3qtCrRs06aNN9tHmfz3H8pJGTCL0nZ2bqPFY6AL25C6Ie+gKdpv6gA944G2nzRpkt/Qlnqj4UNWxuMaPaEBZeDOViuhWZb/4ae3337bl4+8KBOrfW3gx6QGTbhoWwvkBw3Zx4f0AQzQlnwtEIf+xLe0D7zAN8TlIn9Lm3EkDIwX9o7/cx2qAohoIzYQBowwgTGacC8UIMIlZP/993ejRo0SIIKh8nUx8zvyyCP9OWLDhg1zBx98sNtkk038qfN0CJiVjo8AR5XPTAgBYeVhlRiqPBqrQ4cObuONN/Yr1GAeOoHF444pjn2IiLP99tu7Sy65xO25556eweIaIjoMDt677baba9++vVdRU7Zx48ZVSFOAKH+8EbZduf2fT0DExIGd4RGoABGEbRigdTig8I449BUOYUbjsu6663r/HA5Tbteundtvv/18vyRuJkBE2rbv2JprrunPJKQcpBn3H8kEiMiDM944HJq9ytBq8T+aJgBKCIh4j4YBGQIAQ7vSuXNnPziHoAi6IGsAF8QjzRYtWnjZwm72lJ3ApAs5Qr0pw/nnn+8wO1IH6sY2IYAJtGxo3NDosF+aacsY4DDn8T3mwnCABzixrxrvTjnlFD+BCwERe6VZoJ6kDf3IH7BjAd9IdupHJrKdCHVBA0OZHnnkkUhjBthD/pIf7YtfCvKOugC+MNXF/bfgzR49erjWrVt7sw1ps3ccshJzqQXSZlFMSE/oytFITERNo8X+NrQNZRgxYoT/nPeAderGhXzmPfQ1OgJeGDPYcoWyUg7oscEGG/htXJj0EphEc94l33Ldfffd/hviGqBg3zvehRoqvuV0BPKlvzAm5DpUBRABQmhH9tkzetjdyp9v+UgbsfAJgJ1KM2TPpCGqIVjCFkrj0gERHtbQ3LErw4ihaph4CCBzYIZh6fDhd/zPN4AeA0Wge1u9ZnFNOPI7Dojo3ORlce3OgMCO2MaAAkQCRMYLubznExChfcUPBZ6Gx9dYYw3vLMlxOAy+8UBfQyBbH7A7/QewwW8GcXOgzgSImJRYfz755JO9350J+kMPPbRC1ukAEdobBmArR3hnYsQkKQREvKffhvH4HwAAcCCgCWFvM2bglA9QgAzgNxc+O2hACGgzDFBCP+gQpo050DZ5DZ8DLigbfAJo4h15MdhYwLmd59CV9gCYpgNEaC5MY7D11lt753TSQQNy/PHHe4BAWgALAJzJSY5Lwt+RwIQTkEQ86hKXwTwH/KK5J3AHOFi+vA8v6AwYJKDVsXjIV9pmhx128HlwhqRpY6CFtQ+O1QTqE6Yb/g9/QZdbb701qlP4nv+hX79+/fxWK/DvmWeeGaVneREPmsBnAGR+QysrF+WAr3lOf4lPEnxBa/gnEyAC8NIn8O+jDKmuQgAi+gb79V122WWetwz8pLoLEOUIENHYdlI9WiDrSKB4tEigZGY4xENw0UisTrHDYRHYdFYEjgkDBBWIH0amc/AtnR7NE7MGtD12lloIiPCmJy4zDpiADoUa2ToNGizyRrAJEAkQ5RIIWVr5BETkgfMqTpnweXgxQDMI4MRq2hNMERYHwchMGZMJs24DA1UBRKRH3yUt+iFmDvqsgS36m4EOxplUgAigc+CBB/o0KCsDBpoA+jPH9zBYst9YHBChceAZEyMAIGUwrQr0YFC2gYdDpNHi8BzzmR0jdM011/jhLwREDK633HKLlxF2+DRpA4oAMtAKjTTP1ltvPW/OIRHaF2DBc2beyCjkDMc48AytCiZAQgiIeEc5AS4ASeQk4AKZBX0pMyY1065waDagj+dobEiXNAAnPAsBEfTHmZ42Qb5ZuxAfoEZ8dlTmNxflBgTDC5hYDdgyEUX70717dx9vtdVW86APoEYZaStoyJ2QChABSjDFWV6AH9qPCzoh5w2skC/veQ7gNsCz8sore20ez0NABLiBt3hOOSmXlZ+2xlxIADSSPzTO1ofNJ1CFP6kAETQC7ALCrf7p7vDC9ddf7+tN3XN5YZal38DLvXv3jsB8KiBkzwSIcgSIQLqoQmEGGtUELbM0nsG0qGhhDDoi9nXOHjNGQRDSYbmwUdsMkgNbEYLrrLOOj4vZDcFpwsA0VCEg2mWXXXxcZnk4kl133XX+2m677fxzVPPmQC1AJEBkfJfLez4BEXKaARghz8AIP9sExPoTghYwQDjjjDOifoaZmYGEgInJNE1VAUQMQjZoYubAPATwwDRt+QOyLKQCRAwUNlBTbnysoLsFa4MQEJE2ZbWAWYx6AiooA7IlBDOYmhhkuJhQATiIz073hBAQMWihcSNwQLTRb9CgQf4Z5TGzPCAF0xuBPIljoIbn0BvQRBr4P5mmIg6ILA/ugBjKbkCS/DA7GdjFpGl1ob2hO98hbylDCIjQBFn5kLl8Z+2FHIVnjjrqKP896WOu4hl5vvnmm960RNqYxJhAUj9+Q3/aDLoCKllVNn369KjdUgEiaJTJqRo/K9NOYu6iDATu1NnyxYQXB0QGePwH//3z8ssve4BMWQEpACXjCUy7+EvlI6QCRPQJxkI0ioB+6pLuoh0w2+IikuuLA9ahARpZmyBAXwM/qe4CRDkCRNYZIThgw9S7NAjP6HgmLFCnYsukg8MoMA12buJxAXiY/fHuX//6l5+NmSoYAISDGPFgemz5xAsBkanDeU4HsYvfXAAlmIQ0BIgEiIzvcnnPNyBCuDPoMSCybJcJBYMV/dD4HOdnggEI+hnaVepJoB+hDSB+VQCR9Vfi08dOOukkP0jANdgmAAAgAElEQVSyK70NvGhhATOEVICIfo6WijQoK309VQgBEdooBn8L+ObwPZMuABGmCasjz62/251nXGiGCSEgwgRkmg4mchZ39OjRlp1fIs1zgJU5yUND4psmB602miZ8YYjL90bnEBABVJE5gBUGauKiOedQawYt2hRTlZXD6mD38DmAKwREmAmZaBLI+7777ou0Y2iaqCe+YqRBOXhvZcTHjDMheYcGjnpCWwZry5M75UC24ztlWwVUBxDBB5Yu5sAwhNog096FzwBj8QAPUEfSBGBNmDAh0uAxhsQd6+PfV/d3KkAETWlH+B+fLkCv1TV+x0ICcAT05fqivQ3wUia7UgEheyZAFBDKCJbN3TQ0qHLR7PAtqmI6HI3PXik8o2FM3WuAyExbxMMOb/kisMwUhsoPDZEJHjotHZW4qIU5P43vQ0BEZ+UZAoKZCMApfhliFiD6X0cx+utec5oUAhDFhTjtxozatKt9+/b1UZjZ0x+4MCEbAEBgo3HleWWAiD6IhsXSSXfHiZnJBiEVIGKVEAMW32OKQTORKsQBEf3Vwqmnnuq/N0AEWDKQRLpooeL9nd+YhgghIGIWj2wiMIhavZBNFkxDFAIi3gFIzPxHXey4Ispl2iHihYAodKpmdaDlh6yyVV6YtUxDxIGhqerCM9o7BETIV1Z6ERiQ0QDZYIxpknrigE2epM9iFuIRkN04M/MODRErvQjkQduzwg1+MsBHvJEjR/o41QFEOLZb2dBShoGyGl3w94xriHC3SBXQHFnd0JwCNJlIAz6pRz5COkBEfnYxHtr4ZfWyeyF8iKwcdjfwk+ouQBQ0nBEsm3tNABECwPYzwcxFp8Tui6oPdar5H9FpTeBhI6Yj0qGY7dosKwRErEKwzoYDNwKQ+AhfHAZRG+O3QD0FiP7XcbNpd8XNTLd8AiJAPismGVDRxmKqYYbPnZl03GeGVUkmgFkNxOBGf2AHaPPrywSIaGu+MaGOjweTGkzfdqHtQXuANodJEKArFSBicDWtLhor+iJmHsrPHVACcMkGEFE+zDg2CWPgZtAERJEO5h/6ua1ayhUgYoDFN9JMP0Zj/B3DkA4QIdcMkPItQIgQ9yGCjoACtCBogDDH2Iq+EBDR7oBfwAwaHnO2Jm3AD4G7lROgx3J76MPqPqsHWjMAF6veSAe60SbQk7KZbLVNGNMBIr41zSEynbyQwfg4ARjNdEp5oCPlxmxpPImVAL6oKiCC58yvy+qIqwX1y1eoCiCinWk3gJ65klj5BIhqCECSNhDVBBBRlxtvvDECRcxsmYUhVGEYc7gkHp0SlTfP6biY3wBD5oAXAiJmjCwrpeMipPFVID7gCyGML5MAUeYBPWl8VmzlyScgAszYbJ5BEN5naTGmDhuA0BagSSXgpGzmBPoPQpj39AsDEZkAEYPhBRdcEPXLXr16+QGSAcguBjIDYoAl8k4FiGhHBnMcZikL/RNtMOWnXDglx1eZIQ8yaYioI4M3vif0bwYdND/4ZAAc6e/IAiZchFwCIsxG5t9IfTAnxU066QARZQFgmDaI9iMuYOHss8/2ZabcaFAYeJFpyEDiszqXEAIitCFoqigPmjrKw4VW3UxGlNc0XrwjntGH37QF/ji0E+CJNDGrHn300Z6exnfQ2JzG0wEieMDMo6RNXdhJHeCOtgrtl5WTNqbcxo+kDw3g3aoCIujBZBieIj8uHMND3vFEy+GfqgAik12ATCbzIRAUICoxQITTImpYZqZsxkXj4x8Eo/Acx2me0QGIwzNmFuYHBMMjFLAjA3ToNKjUscETB3RtDIVjHPGIw2wV5rf8mZWBwi0ugoK9S1j5xiDBN4AiViOwAgfQRFxmpUcccYQXNpTbvi/EnRkUK1hM/V2IPJVHYYBgPgERmgJW5YSDjQ0A8DoOvcy2aWsL+OqYsypxGXgYVM1vJBMgYvJAP7I8AD/xwKzfNEiAAlagpQJEfIcswKyFbwcAxtLlf1bDUL9sNESkSV0pJ35TBjAsXQZ19tMxn5dcAiLyDX1+8NEJ6U7ZMgEi5F8IUNjKgO/RpGG2iy//BzgQHy0hIQREaEcwDxnYpP64D4S8QNrIVTTnaOCNRtzRKCEbrfxsehjPn3iAJnyeACqEdIAIsAyvAOIMpDDhRY6TB3VHe2mrBq0sAGsmyrYSOBtAxDehlgg+zGfIBhBRZ3ifCQ2rNeF3AaISA0Q0cq4umAU0H4KgeNq8qyxO/JuqpBv/phC/BYhyxzuFaK9s8sgnIDIBT18A2DOwoFUBlPCb5/FA2ekHgA3iMshgsjazSgiIrI+F/Yz/7SKtVMH6WarvUpWJZ2if0IhQJv4nDaNzmF6YZ1i+8Dll4jd1gxakCW0YmMN4/G914W7vwnTD8qYrh+WHxoPBnAEudMY2GoX5kVYYeBfmG39P+agDNErVviEgog2ZlFJf4vNdWL94vtDJaM+kjLyNFsS1stEumegZlj+kW5hGJhryzviSfFK1V6bvw3pRD/NBwowbL08YNxf/ZwuIoCkX7cLqTDR6mBLteSHuqXyH7Jl8iHIIaArRmKWUhwCRAFEuhHJ104gPprYxY3XTK6fvGNBwYMb3BRMhgAhtm63yKhQt1Ib/oTQmUxyw2fYB7SeaNPObymdbVBcQMY4B8tBWhpaNQoxvBn5S3UsOEIGIMQOxYyh2f1OXZkto0sHuDJPhfIkqGsdEEDxLCfmNyaq65h427SIN1Paof6tSPlTe2GD5jhUUVfkmyXEEiASI8imsK0tbg2llFEr/HrnHJojms8XyacARWpdCBrXhf6iNeQ9TIaY5NHX4jpmJNJ/tURNAxNjEOMtVyHEqFRCyZyUJiLAjg5DprLbXRLYEx87MOUnY40mHCyZDzY7dk99sughoyjZt4rObNWmgMsSOzDMYA9s5/g5c5udj6ePjg38R36EetufFehcgEiDKp7CuLG1MIazqYg8jVl8y2VGoGgXQELEiFtrhJ4MDcTrzVNVSrF4steF/6MZ4xY7srLxE6wIvMy7kO9QUENXG2GXgJ9W9JAERZ+iAklHj4phXHaKjuTG7OE5xLK9laSYACKc1VrZgq7Vt5bPNA/spaeBxzzJSvsd2zMoC8uWKa7dQ6e+6667+O5wFs80zafEFiASI8i2wlb4oIArkjwICRAnzuUGrwuoKdqtFg8LvygARIIbBmNVd5oQXBwu2xTuqYNSy4XsQOPZz8jMHuPA9/1MOZk3sX8K2+zZ7sngsTSUNZllohXheGSBCTc2eEnwXB0uWp9ECerC6Azut5Znubt+wKiZVHNTg1JWdaY3O6eqd6vt0zwSIBIjyJ6qVsiggCuSbAgJECQNEOJGxTwVLXtntlF1cWdaeSkOEJz9gCW0Pez6wBJJl3yzTtV1S0cKg+bGlm5jeOAOMfT2wkQN0WDLI6hRs6KzkYMBngzj2EOE55yWRD+ViryDMW5TJ1JjE5z1x+YZvSRcTnG20iIaITcuIgzYIUALAYfksz3r27FkBvFB+NmQzWkAPtE+Y+VCnGigBpPE9F9ozfK3sG8rJstfQL4qddSkj76CX0Rl64M9k6VbnLkAkQJRvga30RQFRIH8UECBKECBi/wczL9md/XbY6dP2fQhNZgMGDIieW3y7s8EhTmjsD8LW7fbc7qSHkzbAxXYSZXdp8yHCD8hAFFql+F4gADT8FAw4sHMpafMNp/KSbnwXT8ubb/EnQksDMOE5ZylZWtzDfVLsO7uzGRhaIOKx86k9t/PS7Dd39uZgjw1LG+ATvg//xw/K4lXnLkAkQJQ/Ua2URQFRIN8UECBKCCDCjGU7N7MRGhsTot25/fbbK2x0ZYAIMxPAgovzdwA/aELY8t7OPkLjgzYFzQcO1Qz+bGrGKjM2QGRn0qoAIsAVG3+xnBANjIEjdrg14JAKEKHtQhtkoINTusmX55jc0gEi3ts3nAbN9vBonUgLB2y0XNQNLVMIiFieiS8TJr2BAwf6cgL80JCxhwfxqT9pkxYaNoAZJkcAIJvjWX2qcxcgKl1AxNERnKeELx5Ot7pEA/FA6fEAO8AzNnDsCjtvp3O7qM74kK9vUjlT27Oidapm+3vTcLD/BQM9BMQsBTgygGCACIDCM8ABZwlxyCM7rKI1Ygt/3qENMdMZuzfzjJ1K2TU2bJzKNESYvszZmrvtYMvhkJZOHBDxvDIfolSACB8hA29omFhpQFoAN1bYsSKOeuCMzV4VISACGJqPET5JdqAsO8Gy4ykgDMdvvucOqIKOaOYAjvat1SnbuwBR6QIi+szQoUP96eLsyAxPAdbhVV2igXigNHgAi8Wxxx7rt4ERIKpFbRFmJhvsOfEdjQ8DMoM0s9K4ycycpBncMatxTAYXAMni4rNjCLcmgOj444/3gITysBMq5xSRL347BhpyBYjQ4tgBsWi6OK/I8kBLZIDGQGMIiPBrsrho18zkB+o3euLrBL0oP3RC44RZDV8nZgX2fXXuAkSlC4gA5GgUWTDAhRYSII02U5doIB4oDR7AgsE2Nxw1IkBUi4CIjajM1IXmxXxkMOkMHjzYD+AM4qYhOumkk/wzQBTaIc54iV9s6IipiMG9JoCIvAwgAIjw98kXIEKLY4crormygwnJ3zbrIm8cwwE9ISDC+dvKOW3atJSAiPQ5ewbtEA7onLtjvk7soYRpxNLI9i5AVLqAKM4LaBTZswZz9IgRI3SJBuKBEuMBNiq28zzj/T9Jv808lupetCYzBnAOK2WwR7OBkAV8AAjswMYQEKFR4jfajv79+1fY9BDH6Iceeig6dI/Gqy1AZKY9ymrAzbQ+qUxmlJWVYcTnYhUaIIUVaagy0YLhN8VpzYC9bAERpkkGM2b8aN8AnhzgSF4AUrYNqC6zCxCVDyBiNSYLFph0vP7667pEA/FAifEAZ9rZgbTVHRMK8V0qIGTPihYQ4W+D1sKAANoKfHewaZoGg3emIQIsoUniGU7P+DUAenAgZrUYvkLXXXddNLjXBiACdGBWsPIvu+yy3v+IZe8wSjpAhObHluvjwI02iFVnOE1TX0xq7CFE+tkCIuiEqQ+/qx49evgl+OZzhWbKTGvVYWQBovIBRIBpdhVmIYMu0UA8UHo8QP/GolCdsaCQ3xj4SXUvWkAEAdF44D9koIi77UVkfkEGiIiPUzErXyy+xeE3WhS2PbeGqS1AhDYGEBKWjcMTKVc6QATQeeedd9wGG2wQ1c3qCKhidZwxaraACDBkaYVlaty4sT/2gLyNZtneBYjKBxBlyxuKL94QD4gH8sEDqYCQPStqQASx0BQx4OPYxbJOZh44c7JajIvfIVGJj+M0y/NxvmYlFr9Bt2E8VsnwPRqQ+GoqlvzzjhVk9o7victztFGWFoABNSLPbUdq3hHH0o/nTRmJa/nYXkeAGv7nO3sW5kNdARnQggvzYbgZJHFJm++5zF+K56Rt5Sdvqxe0hD6YFK+++mrvPMdu1WEdrQzZ3gWIJPCy5Zlii08/qsmkodjqq/KqTyedBwz8pLoXPSBKOvFVvvQCQoAoPW3EN6VBm/vvv98ft6P2LI32VDsWfzumAkL2TIAoByvlmAHiNIpJi/18uIfaF3Wi1J1IgCg1XcQvpUMX/P8eeOCBSGOsti2dtlVbFmdbGvhJdRcgqiEgQiXOXgz41JivDc7GmPHUYTJ3GAGizPQR/xQ/ffBZFCAq/nZUXyydNkwFhOyZAFENARFLDXHIBgzh0M1hquyUjZZInShzJxIgykwf8U/x00eAqPjbUP2wtNrQwE+quwBRDQHRqFGjPBhiBdZNN93kHbpxkjan5HhnwryW7l22DpiklcphM1368bLU9m8BotISNLXNT0nMv7YBkcmbVHIiTq9s4mYrq+J56bf6fm3xQCogZM8EiKoJiFhldd5557mWLVtWMJVxRk/Pnj396q4LLrjAn9u01157+V2xu3Xr5lq3bu21SGwsCUOwUo0DYNEucSr9uuuu6zp06OBXwYUMw8ouO/+H/zl2g40pSY9NF1klNmnSJL+nEumwqzSHr7Jzd5hOkv4XIJJQTBI/5qMsuQJEbKvRqVMnLwNGjx4d9WkmXx07dvTPkQnW39mYlb3D1l9/fS9XMOOzLQdnGrKDfVjX999/3yGjkCfIDr7hW/wiw3jsd4ZPlMVDVrEL/+677+5II4yr/9W3k8oDBn5S3QWIqgmIADLdu3ePwJD5D3HnEEuECcCI3xypwZlibJrI/xwii0mNNBBQ9u3SSy8dbcrIM743ocTp8hZv88039ztQ20n0PEegcRYbaXA+G8/YmHHChAmJFVQCRBKaSRWauSpXrgARkyDr15wDZuVjWwyTC+xMD0BiLzOAC8/ZmR8wBIhhQ1XkAxMw+x5wZButsjkt8eyMSIARu4ujOSJdJmqkycaxxGvTpo0/JYDzDUOQZmnrrv6dRB5IBYTsmQBRNQERgujOO+/0uzibQOJQ1D59+vjDK9kTyAAR7xEgAwYM8JofhAf7APHbvmUDRA7IQ1ih9eE5O2qTBwIpBEQtWrRwgwYN8lqitdZay8fFj4mZIvsPnXXWWZHwxJ8piUxJmQSIJDCTypu5KldtACI0xaa5ZvLEwbozZ870k6MLL7zQPf74414moE1CZiBrOICavcbYvJbd8gFHAB0OqmYvM1bP2sasHJTN8UAc4/Pkk0+6M844w/flXNFM6Ugu5JMHDPykugsQVRMQmb0dvyEECoCEwysxXZl93QARK9A4GZ6T6fmOC5ObHU7LjIzznWAC4nA4LdokBFCvXr183BAQnX322T4PNo9kV2vyR/N0yy23+OekwSGsPN9zzz0FiKrZxvnslEq7PIR+PgDRNddcE/XpVBoizhdEK0T/R/tz3HHHOQ7exEyPbEJGwX/IHAM55557rmOBCBeAit3x+R6tEBuzAqoASDzDTNa3b98IQJGepSm+Lg++LuZ2TgWE7JkAUQ0HS0AIQgJAxAwLsGPMYoAIocRZYvacOzMsvuPCtm8+Rbxj92yO3OBd165d3axZsypoiMiHeP/f3rnAaTWtf3zc73cVDuOeaw6RS6fQEacUoggllI5zSucvuYejcsicg+qgIiocI5zkNnIZcpSQ9HeKSCIRiVwi18//+X++a3r27HnbM81Mc3nn3b/9+ezZ76x37bXXevaz1/q+z/OsvfiFx1ps5GMtNxZi9Wt4h8j6bp6WbUdZiNR5ZptO1nR9agOI4msuJgERb5rHiuP9ix/po4CZV199NfQJWIL8u/KOu+66axQfdMwxx6ySH5ccZfJW/ZqWncpT/1AbOuDwk3QUENUBEGGtefHFF8t0GHQgHhNApzNv3rzoeyALXz+dFNP4WfojbiGaNGlSyAsQnXnmmSEfMUpTp06NyiA4kvMFROpUaqNTUZmV06vaAKIbb7wxes6x3jjMeAwR9wbrMeB04oknhjjFgw46KMQTkZcfWcQZsXajn0tc43nnnbfKfumll9rChQvD9Vjah2ufdNJJYfIGP+S8DyMNy7T0onJ6ITnVn5ySQMjTBET1BER0HnRSdEi4x3C98ZDQ6bCqPOZpfn3RIQE+AqL6e4DUeUn21dWBmgIiXvTKJAkHGtYkJE4R15VDjQMR6fzgwj1GP4N7nuBofniRl8kXb731VgCdjTfeOKRxbmYbmanGdSmH7z744INgAac/AriefvrpaEFp4IhJIpll6H89O9mmAw4/SUcBUT0BEUryzDPPRJ0ZLjICIDE/M4uDjgvLEn5+3HACInUs2daxqD6r18maAqI5c+aEvoF+Yf3117cDDzzQDjjggPBjKhOIABlc6cQBManihhtuCC40n5WK1Zg89CtYhTifH2VM7OBVIUzKaNu2reXn59tFF10UARHXxG02YMAAGzp0aLBeuyWbc2UhWr0+6JmpfxklgZCnCYjWEIjww9MpADS4suIxRMzQ4DtmmMXdWfGHYtiwYda4cePQydExEeRIEPb2228fTNpeHjND6NDYH3/88fBLjF9qxClxDabAEpPjZQNWpGPK9rRsOyqGqP47h2zTiVyrT00BEdPemYHKzFP6CeKBttpqKysoKAh9D8/6BRdcEKbHM/uL62L9IZ8DEyDFrFTeT+ZWH2IXmZhB/+V5vQ+iX7r66qujvEzD58daZj76quLi4qztZ3JNp9SeNes3HX6SjgKiNQSiuXPnhtlddDJ0Lg4wKC3vACIe6P777w/TXpMUGdM3L13jJY+814iXLLI2WjzImvM+/PBDu+OOO8KO6Zo0ZnYQrM01/vWvf4W4AL8GgdmkP/nkk1nbUQmI1uzB9nutY/bKsaaAiHvM9Hee87PPPjtMh+dHEu4xnnN2JlXQJ9Cn8KJEYoh4DQj9CkHWzF5lBlp8Rhj9Fe6vBx54IMqL+4xYoddeey28ed/165VXXgmvFDn//POjvop83h95Ph2zVx91b/7PkkDI0wREawhENaVgPh2WzioOVTVVfjaWIyBSx5mNelmdOvHM4tbyqescgRJcTLxIMZ5O/E4cSqpyPa7DuZXtJ6rSr1QmL9cnH9BV2TpUpX3Kqz6htnXA4SfpKCDKEiCqbSXIxvIFROr8slEvq1MnQIHlLtyt7UcmRxCf4/9zPPXUU4NlpzrX0Tl6ZqQDa6YDSSDkaQIiAVG9udQERGv2YKtjzC75MUnC42s8bifzyDR1XFlYWXT/suv+6X6k4344/CQdBUQConrrmAVE6eiA0jLQEPjMBIpMCIr/z7I8L730Umrc4mm592pnw+nLkkDI0wREAiIBkXSg3nQg1wYSZoLFASjzMzO6eJN0rrVb7Wk4QJD2e+Xwk3QUEGkwrLfOWRYidaK51jkTPM26gpkgxP9MWb/55pvr7XnLNVmrPeo/qqMDSSDkaQIiAVG9ddACInVo1enQsvkclsTo0KFDIhCxpiGrxmdz/VU3PZO5rgMOP0lHAZGAqN46aAGROt9c63x5WzPvEfM1vuKWIt5JxHT1XGuz2qPnuCHpQBIIeZqASEBUbx00q24fcsghYa22hvRAqa4aAMrTAabfT5kyxVhsOQ5DfH7sscfq7Vkrr75Kly6nTQccfpKOAiIBUb110rzY7csvv6y366etI1B762bwI2j6qKOOKgNEO++8s6xD6mvV12WBDiSBkKcJiLLgBmmgqpuBSnKWnOtCB7ASXXfddWWA6JJLLtFgqL5WOpAFOuDwk3QUEGXBDaqLTlrXEAxIB+pOB959991owWYWZCVeTvKvO/lL1pJ1eTqQBEKeJiASEKmjlg5IB2pBB9q2bRusRMcdd1y5izuX12krXQO6dKB2dMDhJ+koIKqFjlCKXDuKLLlKrg1JB4qKisI6Zrys8ccffxR0qq+VDmSBDiSBkKcJiLLgBjWkTl51FZRIByqnAytWrDCsQ88995wGQvWz0oEs0QGHn6SjgChLbpIGmcoNMpKT5NSQdAAr0ZIlSzQYqp+VDmSJDiSBkKcJiLLkJjWkTl51FZRIByqnA8w4Y5e8KicvyUlyqm0dcPhJOgqIBETqrKUD0gHpgHRAOpAKHUgCIU8TEOkhSMVDUNu/OlS+ftlKB6QD0oHs1wGHn6SjgEhAJCCSDkgHpAPSAelAKnQgCYQ8TUCkhyAVD4F+uWX/LzfdI90j6YB0oLZ1wOEn6SggEhAJiKQD0gHpgHRAOpAKHUgCIU8TEOkhSMVDUNu/OlS+ftlKB6QD0oHs1wGHn6SjgCilQMRU4CuvvNLy8/Ntt9120y4ZSAdSrgO77LKLXXvttfbLL7/oR1JKx4U0AF0SCHmagCiliv/rr7/aGWecYaeccordd999du+992qXDKQDKdUB+oCePXuG/YcffhAQpXRcEBAtX2JOR0nHNAgojW10IBo0aJBpkwQkAUlg9OjRAiKBUM7DcBLneJosRCl9AAREGgAlAUkgLgGA6Mwzz7SPPvrIPvvsM/v+++/1lu2Ujg+5bCRw+Ek6CohSqvACovhQoM+SgCQAELVt29YmTJhgjz32mL3//vuKJ0rp+CAgKsd1lsuCSXPbBEQaACUBSSAuAYCoZcuWNmLECLvzzjtt9uzZAiIBUc650JIsQ54mC1FKFV5AFB8K9FkSkAQERNk/ZTzNP+Jrqu0OP0lHAZGASCOBJCAJSAImIBIQ1RR0ZHM5SSDkaQIiAZGGAklAEpAEBEQpHQuyGV5qo24OP0lHAVFKHwK5zDQCSgKSQFwCshDJQlQbAJJtZSaBkKcJiARE8T5Rn3NAArxp+Ouvv7Zvv/02TJvOgSapCXUgAQGRgCjb4KU26uPwk3QUEAmI6qCr1SVqWwIsxcL7Y8466yzbeuutbe2117Z1113XtttuO7vuuuts2bJlYbbIjz/+aBdeeKGxTMOuu+4a9r322stOO+00e/PNNyOAKioqCnnI16NHj3A+baCDuv/++6PzzzvvvOi72m6jyq9dCQiIBES1ASDZVmYSCHmagEhAVLu9rEqvEwksWLDA2rdvb2uttZYBOKeffnqAnMaNG9sGG2xgffv2tS+//NJYlqFbt26Wl5dn22+/vXXs2NH23nvvcN4222xj8+fPD/V9+OGHQx7ybbbZZjZ16tSQ/tVXX4XlXkhnP/HEE+2LL76okzbqIrUrAQGRgCjb4KU26uPwk3QUEAmIareXVel1IoHbbrstgM8WW2xhL774omEJ4k3DY8eODeAC7Dz77LNlgMhhhnfO8D2A8+CDD4b6OhBhZWI/99xzQ/rzzz8frEpAkoCoTm5tnV1EQCQgqg0AybYyk0DI0wREAqI663B1odqTQOfOnQOgsFgvHZBvxBPtueee4bvBgweXAaIuXbqEbP/+97+tUaNGIc9LL70U0hyIOLdZs2a24YYb2rx58+yqq64KgHTJJZeE/A5Vfj0dG64EBEQComyDl9qoj8NP0lFAJCBquD24ah5J4Oijjw6ActFFF0Vp/qFVq1bhu379+pUBIqxJBx54oG277ba20UYb2cOcwSoAACAASURBVAUXXBDeTMx5DkTNmzcPMUcbb7xxWPjzkEMOsd/97nd21113CYhcwDlyFBAJiGoDQLKtzCQQ8jQBkYAoR7rzdDcDSw0uLOKD4hud0X777Re+w7oTjyHacccdQwwR7i+Cr3Gd+RYHItxkWIqwEm2yySaGe05A5JLKnaOASECUbfBSG/Vx+Ek6CogERLnTo6e4Jddee22AniZNmtjnn38eSeKNN94IsUXrr79+sPrEgeiEE06wjz/+2AYMGGDrrbdemJ3G+lVscSDCVXbppZeG8nGfUaaAKBJxznwQEAmIagNAsq3MJBDyNAGRgChnOvQ0N+T111+PLEG4wSZPnmz/+te/jFlmzDzr0KGDLVq0qIyFyGOIZs6cGeKEsDD98Y9/DFPv40D03nvvhXP32GMPu+yyy0KwtoAo97RNQCQgyjZ4qY36OPwkHQVEAqLc69lT2CLePD5p0iQjlggIWmeddYLVB7fYqaeeaq+99loIto5biByICLzGSsQ5TNnHApQJRJkiFRBlSqTh/y8gEhDVBoBkW5lJIORpAiIBUcPvydWCIAF/OSOzxoYPH2633nqr8YJF3hNEp8QG/Dz55JP2j3/8wx599NFIcu+++67dcsst4Zy3337b+J8899xzT+KLF//73/+G7x955BFbsWJFVI4+NFwJCIgERNkGL7VRH4efpKOASEDUcHtw1TxRApmdSDxTed9lpmf+Hy+Dz6v7PjO//s9+CQiIBESZz3Uu/p8EQp4mIBIQZX9PrRpKApJArUtAQCQgykUAymyTw0/SUUAkIKr1jlYXkAQkgeyXgIBIQJQJD7n4fxIIeZqASEBU7z01sS/Es/Ts2dN69+4dVmmv90pVoQIDBw4MS1vceOONVTgrO7KynAfLcrAzBT+tGzPykAE6yLIntb299dZb4Xp/+tOfjM/ZsAmIBES5CECZbXL4SToKiARE9d4XL1++PJr2/ec//7ne65NZAYKQzznnHOvVq5d9+umnmV9H093btGmzynfZnjBixIjwfiGm3Ps7iGqiziwTgrx4GWQ2bIsXLw738Oyzz7ann356lSr95S9/ieTw3XffrfJ9TScwK5C3gCN3Xyeupq9R1fIERAKiTHjIxf+TQMjTBEQCoqr2mzWenzckMzBsvfXW9uabb9Z4+Wta4A033BDqx/t83nnnnVWK8zdBC4hKRePLhRx00EGlifX4ifuGjrHfdNNNq9SEGXUtWrSwQw89tM5mzd13331hXTjeAD5nzpxV6lTXCQIiAVEuAlBmmxx+ko4CIgFRXfe7Za6HdWjvvfcOAxXvxfnqq6+i73GlLViwIEwTHzNmjN1+++3G8T//+Y9xXnzjbcpTp04N79v58ssvw4sEx48fb3fccUdI5xd55vbTTz/ZrFmzworwlH3vvfcGKwnXZfv555/D97g1GEgBovvvvz+U98orr0R1jQMR57766qthGQxWmuelhkkb9efliQxCo0aNCm389ttvy2T9+uuvQ1m0i/YtW7bMHnvsMRs5cmSFAyh1+Oijj8KUe2CTtvHeoOLiYqPN8S3TQsR5uI+oF3Jmmn5843xeAknbKJfyH3/88QCKyJj7R/sPOOCAILOmTZvayy+/HGSGBYrzv//++/A/C8nipuMc3ntEu7DA0YEtWbLEXnjhBRs3bly4DvXBrUp60sb7lcjvekIbeH0AdeIVAoWFhaE+3EesQciU63/yySehOECcVwjwLqekNs+YMSOqC3oCYMV1CpmjE5TLKwlwu/HCS+RDG6hD5jZ//vxI988888zo1QiZ+erqfwGRgCgTHnLx/yQQ8jQBkYCorvrbxOs888wzATTWXXddY3COD0YMaLvvvntYfJTFRfklzXH77be3k046qUysEUtLkI4b4sorr7TDDjvMNt1005B/hx12sEGDBpW5PgNonz59bJdddgnrc1E2a3rxP29rZuDm/T3t27cP6W5d4KWHXGf//fcPgx+FOhAdc8wxdv3119tOO+0Ursu6X9Qn00XDwP373/8+rDDPoqrsLLDatm1bmzZtWlTP6dOnGxYWrkds1RlnnGHbbLNNkAMwUt4GNBx55JFl5EZdWNbj2GOPDXDl58aBaMKECQFkNt9881An5HbFFVcEgCH/N998Y9dcc43tvPPOkcy4H9QJqKVdU6ZMsX333ddYKgSZsSQI5dAGgBfgASb4n/3mm282LGtbbrllaBeQ8tlnnwV3G/XlHnJvkBEWRCw46Ex846WTyI78rie0oXXr1va///u/YXFa7pvfQ77z6999992hKFx7pFFXgM03Pp9++unhnnpd0BPe2n311Vd7tgDPtJsy0E2gy/WA81gLjjXh4hvyBISoF23ErVefm4BIQJSLAJTZJoefpKOASEBUn31wGHAZEBhUsTTEN96YzAC322672cknnxwGJoCFNypzDiu7o+xs559/fkhbe+21w2AMADBwMSCTl3QPXuXX/HnnnRfS+Y5rMEgyKPE/+8UXXxwGZsDCB3fSGZgpOz8/Pwz+XNuBiHzsXJcysShxTteuXQ2rFRsWo4MPPjikcz1cS0AK+cl71FFHBesOebHQMECTTrkbbLBBKJvyWWC1vA2rB2+cZtA+5ZRT7LTTTgv/IzfqxAKw/jLFOBBRHwZvyncZAyFYpZAzFhDkRH04UjaDPwO/37/nnnvOeDs28iYfR+TFDlxSNyxFfMfONWkX5XFd2ozVqFOnTgFwWHIEEGQ5Er+Xf/jDH4KMqBOWF3fPUR73x8vaZ599gnUKCx/pfk1k6XXCOseWFEOEhZA2ch5y87LjegJoUw/yIivyAvfeJq7jsgBuAXHfgH+gyr/HYlifm4BIQIQu5/qeBEKeJiBKgQIkKTjmfgaaTMtJXXfIgA6DCIM31oH4xiKluF9wJeEu4n8GU5an4Bx+jfvA7kDEwHX88ceHfFgagCYfcNyqgtWAQYsyACwsG7htcIU4gODq4doMuD5YUjZwgEuEmA93cTkQARFDhgwJbh1cLFhSuAaxKQ5j1IH6cH3cWAyk3AusM5TPYP3AAw8EMcSBaIsttgiuNWTAjjzK25AJbi1cbi436ovVjPowMHvMShyIsKi8//77wYrjbkLyY53CxYdLif/ZWUwWyKP+WFFwOX344YdBJpTNNciH5Qh58T0uIvLHgQjLEG5IrHFYjwhoZqcMyqcNS5cuDS7QHj16hDKxpmE9Q27//Oc/o3sJNCEz2oy1BcDmmgsXLgz3zet+ySWXRHWibDa/x+TxoGre8r3VVluFa2L9wTKFVQd3XKNGjaK6fPDBB2WACGD661//GurNfWjZsmXIi5UKWfjGc4k+AE1cl3tRn5uAKPdhIGksSFuaw0/SUUAkIKrPPji4jhgMGHBwfcQ3fkETf8HMM8AJawHWAQcNAMIHNAcirAOcgxWIBx24cOsAsMJGrIoPjkyzdhcJgzJuL77j1z4DH1tlg6px7zmgcX2sS9424knYzjrrrJAG+OCy69+/f9j79u0bWZQuv/zykDcORJTlZYcvK/iDuw9wo3wsLciNfbvttgvXBj4pmy0ORBMnToxKBUhcRocffniAMGKBABjSf/Ob3wTrEHJHrrQPefvmVhvAKHOLAxEuo3gsDnn5/8UXXzTABTeb179Zs2bh2oAncIK1hVljXk/ideJ14DP3gW11QdVJQHTdddcFSw96hhvV9QTYwqrHdYGfJ554ogwQocu4e9mAK2aRkRcrWib0A8XALt/jbq3PTUAkIOKZyfU9CYQ8TUCUAgVIUnAGnWywEDHYMRh48G18QGCgBRwYkHBBMKBjwfFf1JznQbYORHzPAOUb63p5freGMfBwLjuDLgDBhvUCFxDpuG8YINgqC0RYruIbcS2UxQDpQOTtJZ12xXfS2Bl82eJABLhxHyuzEaBMmykbeEBuuLEcDAE3Yn3Y4kCE5cw3LGZeH+qP9QYgABJwq/l3fg0sKQ899JCfHrmxVgdEf//736Nz/ANxVNQRSxo7IAGAOYxxTeKyAMSOHTtGdQHYytuqA0TEpWHJow5Aqssf2QBqyAD9ZLYYuuMuM+CV4HQ2gqu5n+SlHYBefEPHXJ5Jsojnre3PAqLch4GksSBtaQ4/SUcBkYCotvvZCsv3X+YM2k899VQ06OAWwtXEQMLgiIuEX/u4LIiB8QE5E4gYOHlvkG9JQMRMJD8fi43PWGPQd6sObhl3XQ0dOjTkZyB2V5OXz9FdZpnT7t2KEAci3mfEtRk8sZTg0onvDNzUgy0ORLitKrvh+uIaxPbMnTs3yA3ocxgrD4jcIsZ1cPm5jHD5cD/oOAFpXFDIlQBrYp6AAvJ27949sqK4hYjZZg4SXv+4hYjp7pkb7zDya3MPHFjjYAoQARvxWLBhw4ZFFiHKpK4epB8HooKCgsxLJrrMuO9YgLjvWHncRUqME/eaOvI9sT9xIEImixYtCteg7g7rmUBE/QBMj40CZOtzExAJiNIAR0kg5GkCIgFRffbBIXaGgQULEFPkGSTYGFB++9vfhkEH6xEWFiwUDMQENPuAWR0gIi4ICxBlAFDMNCJgGMuRz0ZiIPe4HwYKv95ll10WYl54w7MPkFUBItx5tJXyAAraycAOBBHLREwJwMFWXSDyKe/E7+C6wW2D3NzVWB4QEexN3Az1IBDc23zhhRcG2RObQxwRliTazmAPDDC7i7ydO3cOwErdieMiDQhAvsQJESQPoKwOiLDM+LWx9nHfATRvl1uI0BXK9oB0gu+BOuCZGV3EhAGbbMQ3udzbtWsX8iET4szYHMy5rscQYc3xWCHcjOgBbl2AymOLiEHDhVYdIALE3Z2GJc/rGipUD38ERAIiAdHyJeZ0lHRMg4DS2EYGk2xwmTHI+oAa/xUOJFA/Bih+QWNlweqA1QP3jw+Y1QEiLE3xYFxiOBjYHJIoGzhz6wJQ4d9RFz4fd9xx0QBWFSBilhWwwKCOdQGXEhYFpucDZ7SPQFy26gIRS4nQBlw9vB4AuTHjCjghvTwgAqAAQuoRDzoHDHhGsDYBBkwh/93vfhfqzWw2BnN2LDsOtEyn93uEqw6Z8ToE3FyrAyKsQu5G4l5Tf2CHNlCmAxF1AkaAN9rKd9xLwA/Xqc8yQ5YAHLFQfj7lc8/dhZUEROggblZvBy67XXfdNaobgAVUUY/qABHgSyA45eNuddnVAwuFSwqIBERpGAuTOMfTZCGShai++t/ouszIYVBgEIuvp0WQs8+M4nsGPdYL85gM0qoDRFyYwQdrQhyuKI//M6f/k5cX+8UtUwzSvCyRrSpARH6sEsQEcb34ziB9wQUXBPcU+aoLRMS4EKwMOFA+5WLVWJ3LDOuHu/k4jzgkZr95YDKzqXBjOnx43fm/X79+kbuMulMH4rMcbMg7YMCAkGd1QISFhvcfAYycR/kE1nu8kwMR12FjJhpWLKDM68QRC6O7OOnoaR9Q5PXHLervBkoCIsrmPODYLUVePiDo55KvOkCE28/B02O6QoPq6Y+ASEAkIJKFKHR6aVCEeBsZ5LPBQkTfDyBgdWCwyVz7CisNrgQGUeCHNvDLnUGT3QdrT8O94pYdyuYzaeT1WBQfbygLywEuNNxAXId8pGdupHG+X5cZTn5trB6kZ84CI4+nZ/7651xmyDFgMyWd6e64ULxMrs85XnfaV9nNZUSZlI0VhXK9PpTp9WEg9zZ5Hpc31rv4Rrnk5z5gLaJsrGeAa5LMvDwvH/mRj3RPo7ykjfrhTuQauLvIF69r/B5zPuVSX+rj8qS9mfWK60NcDq4/1CvzHP4ndi2uJ5wbz8dnv1dx3SDdy868Hq47dP7EE08sc9+T5FEXaQIiARH6muu7W4OSjrIQpUABkhScASdbgIhBingPplDz3iAGFG2SQC5LAEsoi9+yVzQ7ri5lICDKfRhIGgvSlpYEQp4mIBIQ1WWfm3gtHsj4r38sCNokgVyWAD8CsEbFrUb13V4BkYAoDXDk8JN0FBAJiOq7H9b1JQFJIAskICASEAmIFEOU8z7TJCXPJpdZFowFqoIkkHoJCIgEREljRa6lJVmGPE0WIlmIUj8QSACSgCRg4T1LvIST2Xwsg8JEBlx7uTYgqj3pBj+Hn6SjgEhApLFAEpAEJAEBUUrHgrQBYhIIeZqAKKUPgVxmGgElAUkgLgG5zNJtOUkLGDn8JB0FRCkGotNPP91OOOGEsPo7K8BrlwykA+nVAdYIxGU2fPhwucxSOi6kAYqSQMjTBEQpVXymto8fP96AIhY45cjq7EcccUToFOkYtUsG0oH06ABvhWfx4VtvvVVAlNJxQUCkWWYKGvy//wtLLbBK/G233aZdMpAOpFgHBERyneUyGLk1KOkoC5F+CQQgZO0p1lYaM2aM3XXXXdolA+lAinXgnnvuCcuzaJaZ4CjX4CgJhDxNQCQgCkDEOlzvvfdeWGmd1da1SwbSgfTqAGv7ff7552HNu1wbENWedEOew0/SUUAkIApAREwRvwZ9EU0dSxYTlRwkh7TqADNR6RcEEOkGiFy7/0kg5GkCIgGROjzpgHRAOiAdkA6kQgccfpKOAiI9BKl4CHLtV47ao1/t0gHpgHSg6jqQBEKeJiASEAmIpAPSAemAdEA6kAodcPhJOgqI9BCk4iHQL6mq/5KSzCQz6YB0INd0IAmEPE1AJCASEEkHpAPSAemAdCAVOuDwk3QUEOkhSMVDkGu/ctQe/XKXDkgHpANV14EkEPI0AZGASEAkHZAOSAekA9KBVOiAw0/SUUCkhyAVD4F+SVX9l5RkJplJB6QDuaYDSSDkaQIiAZGASDogHZAOSAekA6nQAYefpKOASA9BKh6CXPuVU1Pt4U3EixYtss8++0xvJVZfoL5AOpDzOpAEQp4mINIDkPMPQE3BQy6W89NPP9mgQYOsoKAgLNuSi21Um+T2kQ5IB1wHHH6SjgIiAZGAKMU6ABBdeeWVNmTIEAFRivXABwsdBQ65rgNJIORpAiJ1ggKiFOuAgEgDYK4PgGqfdDyuAw4/SUcBUYoHw7iS6HM6Ow0BUTrvu5533fe06kASCHmagEhAJAtRinVAQKSBMa0Do9qdTt13+Ek6CohSPBiqQ0hnhxC/7wIi6UBcH/RZ+pDrOpAEQp4mIBIQyUKUYh0QEGkAzPUBUO2Tjsd1wOEn6SggSvFgGFcSfU5npyEgSud91/Ou+55WHUgCIU8TEAmIZCFKsQ40VCD6/vvv7a233gq7v1SSl0wuXbo0Sv/mm2+k2ynW7bQO+Gp3xbDr8JN0FBCpw9CgkWIdqGsgeuedd2zq1Kn22muv2bJly6qtezNmzLBtt93WGjVqZIMHDzba8euvv9qIESNCGt89+eST1S5/dYPKDz/8YNSBtsyePdt+/PHHWrvW6uqi7yseACUfySeuA0kg5GkCohQPhnEl0ed0dhp1DUSXXHKJNW3a1I466ih7+eWXqw0R06dPt7y8vLBfdtllAUgAoqFDh0bpEydOrHb5q3sePv30UzvuuONCW84991xbsmRJrV1rdXXR9+l8dnXfq3ffHX6SjgIiAZE68hTrQF0DUY8ePQKw5OfnW3FxcbV1r76BiPXfADugDDD65JNPqt0WDWzVG9gkN8mtOjqQBEKeJiBK8WBYHWXSObnVCdUVEH3xxRf2z3/+0/bff/8AEZtvvrmdfvrphsUIl9f7778fgOKFF16wCy+8MEDGIYccYi1atLDTTjvN7rvvPvv8888j6KgKEH377bd2991328UXX2yXX365PfDAA8G99sEHH9iwYcOsXbt2xrUOO+ww69y5c1jGZO7cudG1MnV+wYIF9pe//MW23nrr0JZdd93V+vTpE9ryj3/8I7jvOIcYJqxU55xzTij70EMPtW7dutmECRPsyy+/LLf8zOvp/9x65nQ/6/d+OvwkHQVEAiJ1zCnWgboCIiDi8MMPDwDhri4/brfddvbiiy8GPTzyyCNt3XXXtR122CFYYJo0aRLOWX/99QNMrFixIuSrLBARZD1w4EDj/PXWW8/OPPNMmzdvnn399dfhM2nUY8cdd7Tdd9/dNt10U1tnnXXs+uuvL/e5eOmll2zDDTdMbAvAR8A38VE9e/a0jTfeeJV8G220UWgLkKjBsX4HR8k/ffJPAiFPExCleDBUZ5C+ziDzntcVEH311Vd2zz33WPPmzQMgbLnllta7d+8Q83PrrbfaRx99FODg2muvtSeeeMLmzJlj7733nr3xxhsBLNZaa60ASlOmTKk0EI0bN86uuOIK22yzzWzttde2Ll26hOswGw2Xl8NW+/bt7e2337Z3333XXn31VRszZow9/PDD5cIKdb366qtDUDcwhesM6CJ+6a677goWIixPgBXfN2vWzKhLYWGhHXzwwSGN+lQEXZn3Sf/rWZUO1IwOOPwkHQVEAqJyO349gDXzAGazHOsKiFwGq4shwgL04YcfGhYgZok99thjATY22GCDABI33nhjpYEIFxjWJqxD3bt3N1xnXg+ACMsUwLLLLrvYQw89FGaLffzxx8HVBTR53qRjRTFEWIjatm0byt5kk03szjvvDC46ysRdh7uQ6+JC++677yq8TtK1lZb7z6Xuce3d4yQQ8jQBkYBIHXKKdSCbgAgr0jXXXBPcV7iygCBcTg5DQMSgQYOCvlbGZUZ+dtxYme4p4nt69eoVub6wQHEt4oHOPvtse/31160iKKoIiHgvkluCdtppJ5s8eXL0jP3nP/8JrjnqhWVJwdi1N/AJKiTbJB1w+Ek6CohSPBgmKYvS0tWJZBMQ3XvvvcHNhFWnU6dONnbs2BCAfNFFF0VQVBUg2nnnnQMQEbPTv3//MhYiYGf+/Pl22223GdPmeQ0AFiPAiB2LUiZExZ+NioCI4G+CwYEeYqFwAfq5zz//vHm99t57b2P6vn+nY7qePd3v+rnfSSDkaQIiAZE65BTrQF0DEYHGgALxO0899VQZ3evbt2/4DjB55JFHgoWGFx4Sm0PMDedVBYhuuukmO+aYY8J5WJyYCYY7i4EIIOK9Rey8ZBHXFbFB++yzT8iPu424ovIGLSw7e+21V8h79NFHG0Hjnvfnn3+2k08+OXwH3BErRDtIZ6adB3JTN9L8PB3rZ4CU3NMld4efpKOAKMWDoTqCdHUESfe7roHohhtuCKDgUHTQQQfZKaecEmZ9/e1vfwvfEYzMlHym4AM1brmpKhAx5X3mzJl2xBFHhHJxiXH95cuXB+sPrjGm+D/66KPhJZF33HFHeMs11+HdQh7onSQ3ymjdunUEPbvttlsIGKd88gN0xA9RFjFDWJyAQYLJSaMuxBMlla00PZfSgdrTgSQQ8jQBkYBInXKKdaCugYh3/wAbTG8HDNixyvBeHoKpeSeQW4M4EtMDHOH2Im9VLEQAEZYg4oF4zxDnM+PsqquuMoKnjz/++HAtXGRciyN5uOb9999vv/zyS4XPxoMPPmj77bdfZPHhXKxQDGZYfm6//Xbbd999o/bwPdcgduiWW26J3lekwa/2Bj/JVrLN1AGHn6SjgCjFg2Gmouj/9HUedQ1EAMrChQuNWBpmkGGd4bOvBYZVhun5uJlYl4xp8EAUM87Iy1po6CkAxf/sLPKK64uyeceQpy9evDjkJZ08nv7ss8+GeKI333zTgBrg5LrrrgvWI6bHA1C40Vb3PCA71jHD9edtoUw/DyiaNWuWjR8/PrQHCxhxUZTv7fW8Oqbv2dM9r597ngRCniYgEhBFHbge0Pp5QOtS7gzEzObynRcX8gZn3qtDELGnc1ydhaQu661r5b5u6h7rHteFDjj8JB0FRAIiAVGKdABrBgHN22yzTbTjjiKmJZ5GTIxbWOqik9I1NBhKB6QDdaEDSSDkaQKiFA2GdaFsukZ2d2pMCfdFSYlpKW8nbkf3Mrvvpe6P7o90oOo64PCTdBQQCYg08KVIB3CZ8U6e8kCIdGZ5EZCszrbqna1kJplJB7JbB5JAyNMERCkaDPWgZveDWhf3hwBjAoB9+YgkMOL9Or76fF3USdeQXkoHpAN1pQMOP0lHAZGASJaAlOkAM7H8HTqZQMS0cJa0iK/7VVcdla6jQVE6IB2obR1IAiFPExClbDCsbWVT+dnfobGAKsth+GrscSjaYostjBcUMo1d9zL776Xuke6RdKBqOuDwk3QUEAmINPClUAfKc5uxEKq/60cdbdU6WslL8pIOZL8OJIGQpwmIUjgY6qHN/oe2tu8R7x9Kmm3GchZaX0v6Udv6p/KlY/WlAw4/SUcBkYBIFqIU6gDB1Zdddtkqs80ef/xx6UMK9aG+BiddV2BU1zqQBEKeJiBS56cBMKU6wHIWvm4YcUQ77rijgqlTqgt1PSjpegKh+tIBh5+ko4BIHaCAKMU6cOSRR0ZWIixG9dVJ6boaIKUD0oG60IEkEPI0AVGKB8O6UD5dI7s7uXvvvTdYiVgFHouR7ld23y/dH90f6cCa6YDDT9JRQCQg0iCYYh1gJfn8/Hxr3769fffdd9KFFOuCBto1G2glv4YhvyQQ8jQBkTpADYIp1oHly5fbueeea6NGjdLq9inWAw3mDWMw131a8/vk8JN0FBCpExQQpVgHmG327LPP2ptvvik9SLEeaKBd84FWMmwYMkwCIU8TEKkT1ECYch346aef9O6hlOuABvOGMZjrPq35fXL4SToKiNQRCoikA9IB6YB0QDqQCh1IAiFPExDpIUjFQ6BfVmv+y0oylAylA9KBhq4DDj9JRwGRgEhAJB2QDkgHpAPSgVToQBIIeZqASA9BKh6Chv6rRvXXL3PpgHRAOrDmOuDwk3QUEAmIBETSAemAdEA6IB1IhQ4kgZCnCYhS/BD8+OOP9s0332iXDKQD0oEq6cC3335rzE6UxWLNLRaSYd3K0OEn6SggSikQ8f6ZMWPG2JlnnmlnnXWWdslAOiAdqLQO9OjRwx577DEBUUrHj4YMcUkg5GkCopQq9K+//mpn/4zbsQAAGDNJREFUnHGGnXrqqfbAAw9YYWGhdslAOiAdWK0OTJgwwY477ji75pprBEQpHT8ERLrxOfXwOxBde+21hrVIu2QgHZAOVFYH/vjHP9rVV1+dU31iQx7kVffKu93cGpR0lIUopaDnQDRo0CDTJglIApJAVSQAEF188cX2+eef2xdffGE//PBD+FGlgbnyA7NkVT+ySgIhTxMQCYiq0g8qryQgCUgC1rt3b+vatatNmjTJnn76afvkk08ERCkdSxoa2Dn8JB0FRClVYlmINKpJApJAdSVw3nnn2fHHH2+33Xab3XPPPTZ//nwBUUrHEgGRbnyD950LiKo7FOg8SUASAIjat29vt956q4BI42GDGg+TLEOeJgtRSpVZQKRBTRKQBKorAQFR/cS/NDRrTDbW1+En6SggEhBVt0/UeZKAJJBSCQiIBETZCDuVqVMSCHmagEhAlNIuvWab/fPPP4cZN5999pn5vnTpUlu+fHmIrajZq61Zaf/973+tW7du1rFjR7v99tvXrDCdnUoJCIgERJWBj2zM4/CTdBQQCYhS2aHXdKPffPNNy8/Pt7y8vGhfa621bIsttrBmzZrZhRdeaIAIy6VUZwO4nnjiCbvsssvs0ksvNWCrutsLL7xgTZo0CfW84IILqluMzkuxBAREAqJshJ3K1CkJhDxNQCQgSnG3XnNNjwPRhhtuaLvssovttttuttlmm0WAtN1229kdd9wR3tlS1SuvWLHCBgwYEJU1b968qhYR5RcQRaLQh2pKQEAkIKoMfGRjHoefpKOASEBUzS5Rp8UlEAei/fff3x599NFgESouLg7rxW2wwQYBZnbYYQd78sknw6wMzv/+++/t9ddft7vvvtuuv/56u+6668Iac3PmzIny8PZgymGpFbdAsdzKSy+9ZFOnTo1meGA1Ih9usL/97W92ww03hGVZFi9eHK+qZQIRL9ajPK794IMP2rJly8rkxzpFfVjepaCgIOQbPny4TZ8+fRWLF3XFEjZq1KiQ78YbbwznJVnHKHfatGlGWdR37NixtnDhwjLX1j/ZKQEBkYAoG2GnMnVKAiFPExAJiLKzx21gtYoDUYsWLQJAeBO+/PLLMEXZYYaX2n399dchtmjEiBER5Pj3fmRpBFxsgMO6666bmG/99dcP5QBDnTt3Tszzm9/8JlqIkzrFgYiFfdu1axedh5uvQ4cOIR7K6z9u3Lgyli6vH3Vikc+vvvoqZGX1c9587vDn+ThuvPHGRjm+AWnEMa299trRtcm33nrr2fjx47Mu7srrrWOJBAREAqLKwEc25nH4SToKiARE6uNrQAIVARHF4ypzQDjooIPsgw8+CIM+kNCyZUvr1auXXXLJJdanTx878MADQ97GjRvbww8/HICIOKRtttkmKmPPPfc0LFGUhVUGICIe6A9/+IP17ds3lAWsbL/99uGcww8/3NzNFgciXHr77LOP/f73v7ddd9015AWKrrzyykgqLOZ59NFHB4DBbUc81DHHHGPrrLNO2MeMGRPyYq2iXrQTdyH16N+/v3Xp0sWOOOIIoxy2b775xnr27BlgaNNNNw0g9z//8z/WunXrcC5WNNrNqyG0ZacEBEQComyEncrUKQmEPE1AJCDKzh63gdVqdUCEK8uBiODrd999N7i6Pv744wBHQMKSJUvCEgj3339/BCZXXXWVET/08ssvW/fu3aMyHnnkEZs5c6a98cYboRwsSe+8845hjcJiw0w33E+sN8V1N9lkE3vuueeCVONAhPXoxRdfDOtR8f3WW28d8hPvRJ3YPvroI3v//fft22+/DeD16aef2uzZsyOAOumkk0K+xx9/3Lbddttw/oknnmiLFi0yrEbUbe7cueF/MuIi3HzzzUM+gIly6ciQCdelvmefffYqrrtwEf3JCgkIiARElYGPbMzj8JN0FBAJiLKig23olVgdEE2ePDkM9G49wVpDZ4GlCCjYb7/9DDjBOuIzwMj75z//OQDD6oKqsRIBNoDIHnvsEcqhLAccyvr3v/8dxBwHotNOOy1yT1Ef3j5MXvZXXnkl5Cem6Nprr7XmzZvbTjvtFMqmrrjryEc622uvvRbaQRpuM/Ieeuihds4559gzzzwTLF3kGzlyZHQNvseq5buD0sEHH2wffvhhKFd/sk8CAiIBUTbCTmXqlARCniYgEhBlX2/bAGtUERDh+hk8eHAEAUcddZRhGSKgmncBARDMTMPdBAjgHiON/fzzzw+WmtUBERYkQIhzttxyywAmhxxyiO2+++5RWQ899FCQbByIWLU8vsUDt7EYfffdd8G9hXuMmCFmzwFAlI3Vievh4mMj1mn06NHhmtRho402imKEyAsIkefvf/97VCcsSgBg5n7kkUcKiOI3Jss+C4gERJWBj2zM4/CTdBQQCYiyrKttmNUpD4hwGeEu++1vfxsgAKggWBrAwQJCsDFQQUyNBycze4s09jgQufuL9LfeequMoG6++WYj9ofviOn54YcfwvfDhg2LykoCojZt2kR5qSugQxkAEG4urnPAAQeENILFFyxYECxK5CX2iLwORN754Spjlh3Xpv4eEE7QN7FOzGjjPHZmo7399ttldmakcV2uoS07JSAgEhD5897Qjkkg5GkCIgFRdva4DaxWcSDacccd7aKLLgpWIeJ+sNL4bCqAAwCgEyFmBvAADMiHawpI6tq1awQMDkTE4eC2cpAgj0+rR1RMW/fvWIGcN2QzLX/vvfeO0pOAiKDmIUOG2LPPPhvijeJuMKw5tMvLwDL03nvvhXija665JswI45oORMQa8foAXHeAD3UmzslnnTF7jdgm4pE8gBvIwjWHtYzp/0zD58WTBFXjBtSWnRIQEAmIGhoIeX0dfpKOAiIBUXb2uA2sVnEgwlKDVYTdrTaAA64wAp99oCeY2GeUAUZbbbVVeLM1M7QcbhyIeJgnTpwY3GF8B2AxRf34448PkioqKgrn8x0AQuwQbiq34pCeBEQEeJMP95bDGed7vBFB2u7W45q8eZt64hJjFhzlOhBh2SEmCKsX3+MO8xdTci4B4liusPzccsst4Zqcz/WZQcc5nEu7brrppkhODUwVUlFdAZGAyAGjoR2TQMjTBEQColR04LXdSCwnJ598cphCzzR6dqaRE+TMdHhg5JdffilTDToS4nl4D1DTpk2DJYYycLF5GbwIkTgeNo533nlnCED275kCz4YLjhgdLFDEIgFfTON/6qmnorKef/75kJeZaVhrKAMrE+42Pw+LDS9KpDzfgD3qBVzttddeYQo+lpw//elPoQxmhLERF8W0/MMOO8z23XffUA/yExeF1QfrkG+Uf9999xnxVJ6X8rk+5WJZQj7aslMCAiIBUUMDIa+vw0/SUUAkIMrOHreB1QqrD8AS33EDYQ2paGDnO1xFTEUHPPyFjbi82HE7xc/nM1YWv04cXAjexuU2Y8aM4I7jXCDMy3IgI5+f73mY7cYsMc5Pev8P+akfMEV92bg26bTTN67x+eefhxdTUt6sWbPCqwSSyqQtTO3nLdjkZSo/5ybl9fJ1zA4JCIgERDy/DXFPAiFPExA10Ju6porIoMOMIt4srE0SkAQkgapIQEDUMGFgTceNXDjf4SfpKCASEFWlH1ReSUASkARMQCQgaqhwlARCniYgEhCpe5cEJAFJoEoSEBAJiAREKYWHhnrjK6q3XGZV6v+VWRKQBGISEBAJiCoaX7L5O7cGJR1lIUop5AmIYr27PkoCkkCVJCAgEhBlM/RUVLckEPI0AZGAqEodoTJLApKAJCAgEhBVBB3Z/J3DT9JRQCQgUu8uCUgCkkCVJCAgEhBlM/RUVLckEPI0AVHKgYiXB15++eXaJQPpgHSgUjpwxRVXhLeTt2/f3m699Va75557bP78+eHN4hUNRPpOEJUNOuDwk3QUEKUUiFDMsWPHhmUZTjjhhPD2Y5Zd4A3H2iUD6YB0oCIdOOigg6xPnz4CohSPH9kAN9WpQxIIeZqASAod3jbKSutPPvmk3X777WEJCJaB0C4ZSAekA0k6QD/BIsJYiMaPHy8LkcaRBvPWaoefpKOASIocARErnmM10i4ZSAekA5XVAdbpY+kXlq+pzi92nSNXWl3qQBIIeZqASEAUOjHWx6JTY8Vy7ZKBdEA6UFkdmDt3brQGX10ObLqWQKo6OuDwk3RcLRAlnaS0JSYZSAbSAemAdEA6IB3IHR0QEC3PnZupB1P3UjogHZAOSAekA9XTAQGRgEjWLumAdEA6IB2QDqReBwREeghS/xDo11T1fk1JbpKbdEA6kEs6ICASEAmIKtSBhbaswu/VIdZ4h7h0ni1etLCW9DLX72eut0/PW40/b+rfor5GQCRliJQhjQ/asvnFNrloYtl92uyVEDTDRrfNs/yhxfUso3k2d8681dZh2SJAonRfPcgttLnTYm2fNqP+4W9OoRUM7WHH5vW2yUtrevDLlvtZ0+3y8nK9fd5OHdPYV9dFmwVEAqLVDrR1oYj1dY1lcyZaQYc8O6BzPysYOsQK+neyA/oXrZTJQptVNNHm1vjAXIUOfWmxFbRtZHk9C21xRbq6dKL1bbyHtW7VcuU+xKZXlH/5Qps+tsD6dsiz1v3H2eSicTa6TzvLz29nI6bVlnWmku2eM8o6dhhlcyusfyXLKlNGbd/PeTZ5UIFNKXPN6tSzcufMGtnPxs+J563t9sWvpc/11WfpurWnewKiOuq8pMS1p8RrJtsZNr5DIxs8bWX95hfa6IkrrTG4bjJhKLhz5pW1pCTli/RqYan7JyNfsOhklh+dt8RWLJ1qo7t1tQF9WlrrkTMqBtfigdakz8Sy9YqXlfg5o+3Ll9iCwh7WpNmqMFW2rrE2LY9/jt3jIKcYWMXbnvmd121lnmVFve2ATKtc5jnx8sqrQ0iP3asy55TWtWzbStKT0uJ6xverWODmVwBysWvHz41/jpfP5/h3fC6ri0U2uHG/svAVu0bS+aX1reQ98/uiY8XPnuSTM/IREEmZc0aZMweUSv2PZSWvh01aVDpAhsGkaKAd22Iny+swyhYEHZlnk/t3su79h9iAbs2tadt21rHnOHu1sIe1Jl/ncSvzzbYJnRvZ4GKAZqINbtvSmjZuZ+OLR1mXxnklA/3SYhvRrav1HdrPujRrY6PL/Mr3esyw8Z1b2uDieTalf54NoLwKdHX60P3sgD6jbPr8GIRUkD+UldT2kNbOxs9feb05hda3Ww8bgBurcT+bvMjb1MMmTCu0vm1bWov8RtalcPbK+i206cO6Wvc+Q2xA5/3s2JEzbO7YTkFGTQYV2eKifnZsq+aWn9fJJvg1li+0WSO7WosOvW1AtzbWusV+1rfI27Fqecu4N632sCadx9ncmcOte6vm1rRxDGqXL7G5E3vbsVjLWuxk3QvnWTinzP1cYisy2wac0j7a26eTNd1zVTDk+wFt21j3/r2tY9s2dmyzHjZp6RKbPqydtd6zkTXZEwtdOyuIWdmi+nYYZVPGdrImeftZwbQiKwi6Eav3tIHWJOhbyb1Hrtz/yf2RSamOLZjY2zryf37zYA3sVTg7o30Z5w9qF84HMpdNG2JdEuSfec8q0jV9V/GzKPk0XPkIiFY3aOj7CgfiBv/wTxtiB+S1sV64y4YOsRFFPrAvscUTe1iTQSXxQ4sLu4bBPbS3eKDlDXK3Wkm+UotGkQ0oE/9SbAUteliv/gNtSoCueTapZ7uVEDTVRrRKAiKHIaCg2AqaxeEhqbNZaAumTbRJY4dY9xaNrPWgolWtF0l6TNtbDc9wTVF/B6JiK2i1MpZnaaH1AoiCRavIBuzZxjr2KXFrISeXB587rrRmzRrWMpLZ3LEAZA/rOxZLV9k2YRHKj6xbWK38+iWyTSpvRXE/a9qth/UFspYj01KwWDZtoB3bf1UZxO9nqENC26YPamS9JjqMZcqaGJ3Y/SruZ3lRvZcY55aCXMa504ZYi549bECor3+HHEphHBmVWgJL5NCrZ+8Stxj3KoJuLHmdYnlLyivbvrLnI+MWPXsHeS1bXmSDYz8CyrtnDf7ZTtJ5peV2f76G91dAtIYCVKfhnXvDPDKw5PUvLA1GjlxYC21yn7xogCsd7BbalP7NbUDMgjG5z0qLELrEwBWP98GN0qyNjSheOcjyfZ9CWzCz0Ao6t7G+EzNdYTNsQrfm1r1wZfr8cdYl5sJaUFRQEusEwI0tXhV85gy31mWsL+Xfl5K2l4Jd0GXObzwwuGIYKFsPK7YFxcOtb9tOpbFFIU/pQE45JUDIAN/bJs2fapOGdrJj+xSuhK0SWTZxuSCTCMQyIGPROOsetbe88pbY3JEtLa+FW3BwH3kQNnCEBSaz3WXvZ3ltWzatwI7Nb2l9Xf6x/mFZUT/L71/qlsQq18vdq8tXglyitW+JLRjbzg5oW2BTIv3CQjXcWscskGXqHSx1wFmJ+5bzS2FpSYLVsGz7sE72zSs9n7pi7QxxWcRoRfIvX8bq2zJ1SP/nuk4IiGIdXq7fbLVv1Q4Nd1Spuyf+PYNs6aCPe6VXqz2sdduuVhCzIq3g13Y0GDMoNSozcPHLPK/buCggmoGtSauuVjC2yBbEB8eVeoglKi8vL2EvqcvimbFZYTMTZp4FWHFLTrw9q35ete3A3n7WYmX8zpRBeZbfobeNnjg1qj86BEyUWsQWllhncOkBOo1bWveho2xKGdddsQ1uXGpZKRMjBPA1HrgyAHyhTRnU3PI8qL3c8krckhGU0maHrWD9KLUwlep82ftZXttCftxiLUphwssAiiNdmYMLtF1pUDMAErUjU9YlsILrzsviWAZy5gwvO7MO91lbt95xfhzyZtjoVplWw7LtW1Hm/Nk2vkPp+WXuX7kyzmyD/o/fO33OTX0QEAmIynTS6XrQGVhKB4oybceS02GUTS8aZ5MXLTHcMC1iYBPlZUAJv7yJg+lt3Tu3tAFFs21y4cQAESUumNKBMFgKPGB40VQbP6xwZexRcgeDJSQahFenq/OJ79nJugS3lJc3z6aMLUyYKZfZ9nk2a2Qny+9cOrsLaIgG8fkTg0WKdk8Z1CiKaVpWPNBauysHWUTWnXk2a2yBTSJOKGPWGDIZUDTDJowtsmVhQC6xSM0d29W6d25nHcdOtVmFhTarvPKW49YrDSjGQtVxZLFNHznOZi0HvlraiJkl7V8wcVRJHTLuZ1LbFhcNiSx5wcU3ttR9WtLuPOtI2qIiG9y5q3VphRt0ok3A+rey/AXLZ9uk/v0yYtKoUwyuV95H6hBiwwCwPp2CHs2aOcomzVxiJdd36yHn97PJc8bZeK61qNB65SEz7lkPG4E1LKN9Zc4nf3RfVlqXimbY+JETS+QffRe7Z6vTNX2f4n7T+5bcOwqI9GCn88FeVGQjerax/LxG1rRVJxu9cgB10OFXdF7jPaz7yKm2bH6RjR/UNQTy5rfqWibOKAxOjRtZfos2NrhoXojtyMvvaqNn4iJLcKPMH2fd87EANbKmnYesjCsqr2Mpz/0Ty7+o0PquDB5usmenDOvVEltBvFPmYFym7T5Nv6sNLixrCSIAt3Vj6rqTHdtnlM0KFi1Aqrm1bktAb3Nr0aHApkeWrtk2odtOwboV6lJcAoLI0mOxVoR4nzxDRiVTxottRKtGpbLGstEYqOTc5PLC4O8QtnyJBXdQ45IAdO7f3MKulo+VLb9N5Poqcz+ZwZXQNtKOzd/JWrRqaR0jd1+prCmDcvPbDrTJi7BS5Vl+t+ElcgH6kFV+OytY2W7XpUwg9PRZw5pbXv4e1jqUAfQ0stb9AemyMVElAMS1VsLq0iIbgA41bml9x04NbtOy7cs4v8wMxJJ6N2nV2yYF9145Mla/mM5+MeX3XUCUcgXwzlnH0oEvLotgGeowPLKwLJtfmOhOiZ9Tk5/jU6/LLXdpwhTwmF4vi4AluY3llhsrI8qDtSGKP6mB8pKuoTQNxtIB6UA96ICAqB6EHg0uunbWP/Thl3eHApu1clr+skXFNqJD84Sg3ZTAATOrPMZH+pv1+qu+JiXPpZ7FGnkWBURSpBpRpNzteOfZrMIh1qtDiWupe5/hNqkSy2jkpDwIJPY3YXcebrP07OjZkQ5IB3JIBwREOXQzc3IQ1v1RhysdkA5IB6QDdaADAqI6ELJARWZr6YB0QDogHZAOZLcOCIgERPrlIR2QDkgHpAPSgdTrgIBID0HqHwL9asvuX226P7o/0gHpQF3ogIBIQCQgkg5IB6QD0gHpQOp1QECkhyD1D0Fd/PLQNfQLVzogHZAOZLcO/D+JJI/G3qdi9AAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:25479d0d-8466-4626-b761-98fbcccb357f.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "nbsphinx": "hidden"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shutting down server...\n"
     ]
    }
   ],
   "source": [
    "stop_server()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}