Automação de Tarefas (Task Automation).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b061dec2",
   "metadata": {},
   "source": [
    "# Passo a passo do Problema (Step-by-Step Problem Solving)\n",
    "- Passo 1 - Buscar datas das ações automaticamente (Step 1 - Fetch stock data automatically)\n",
    "- Passo 2 - Realizar as análises solicitadas pelo gestor (Step 2 - Perform the requested data analysis)\n",
    "- Passo 3 - Enviar automaticamente um e-mail com o resultado da análise (Step 3 - Send automatically an e-mail containing the data analysis result)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36650219",
   "metadata": {},
   "source": [
    "# Passo 1 (Step 1) - Buscar datas das ações automaticamente (Fetch stock data automatically)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b2ba4937",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: yfinance in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (0.2.18)\n",
      "Requirement already satisfied: multitasking>=0.0.7 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (0.0.11)\n",
      "Requirement already satisfied: pytz>=2022.5 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (2022.7)\n",
      "Requirement already satisfied: pandas>=1.3.0 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (1.5.3)\n",
      "Requirement already satisfied: html5lib>=1.1 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (1.1)\n",
      "Requirement already satisfied: beautifulsoup4>=4.11.1 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (4.11.1)\n",
      "Requirement already satisfied: requests>=2.26 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (2.28.1)\n",
      "Requirement already satisfied: cryptography>=3.3.2 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (39.0.1)\n",
      "Requirement already satisfied: appdirs>=1.4.4 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (1.4.4)\n",
      "Requirement already satisfied: lxml>=4.9.1 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (4.9.1)\n",
      "Requirement already satisfied: frozendict>=2.3.4 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (2.3.8)\n",
      "Requirement already satisfied: numpy>=1.16.5 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from yfinance) (1.23.5)\n",
      "Requirement already satisfied: soupsieve>1.2 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from beautifulsoup4>=4.11.1->yfinance) (2.3.2.post1)\n",
      "Requirement already satisfied: cffi>=1.12 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from cryptography>=3.3.2->yfinance) (1.15.1)\n",
      "Requirement already satisfied: webencodings in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from html5lib>=1.1->yfinance) (0.5.1)\n",
      "Requirement already satisfied: six>=1.9 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from html5lib>=1.1->yfinance) (1.16.0)\n",
      "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pandas>=1.3.0->yfinance) (2.8.2)\n",
      "Requirement already satisfied: charset-normalizer<3,>=2 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from requests>=2.26->yfinance) (2.0.4)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from requests>=2.26->yfinance) (3.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from requests>=2.26->yfinance) (2022.12.7)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from requests>=2.26->yfinance) (1.26.14)\n",
      "Requirement already satisfied: pycparser in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from cffi>=1.12->cryptography>=3.3.2->yfinance) (2.21)\n"
     ]
    }
   ],
   "source": [
    "!pip install yfinance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "1bb41187",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Digite o código da ação: BBAS3.SA\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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m77nEYh8MSIiIyCJnS0xbfi2vH+mpvkE+GBsXDCEMvUwutedcGfacL7vs5y80Zkj6dJPxufWKWPzt5hRcl9IHc4f36fJaujwMSIiIyCKmQ+USragfsYXrR0QDAP57vG1Asim9EIvX7ced/9pv7h5rrQJj1iXagiZnt4yNxTuLRsNfyfJLe2BAQkREFjlXYn1Bqy3MHd4HUglw/GK1+cyXo7mVWPHlMQhhOKzunzvPX9ZzFxq3/PaxoOss2RcDEiIi6tS5kjq8+r/T+NcvF8wNxAY5cMkGMDQTuyrB0G7+++MF2JlZivs/OgS1Vm8++XbDkYvm5RdrFBozJJfTBp5siwEJERF16u3tZ7F21wX85cfTaNbp4eNl2Rk2tmZatlm1NRN3/fsAyuubMTQ6EF89NMHczOz9XVlWP6+pKVo0MyROx4CEiIg6VWFsGpbcJxCDowLwyNSBDtth09rsoVHw9jJ8ZAUo5bh7Yjw+vvdK+CnlWD4tAQDwxYFc83gtUa/WoqZJC4AZElfAyhwiIupUY7MOAPDYjATMGea83SUqHy98dv84XKxsxKzkyDaNySYPCsOwvoE4mV+DD3/Nwu+vSbLoOU1LPAFKuUUH/pF9MUNCRESdqjcGJD6X2ZnUlsbEhWDByL7tuqRKJBIsn2rIkny4Jxu1TRqLnq/Agh4k5DgMSIiIqFONzYYlDV+FzMkj6drsoVEYEO6HmiYtPtufa9FjLO1BQo7BgISIiDrVYMqQeLl2QCKVSvDwFMNpuf/6JQtNGl23jzFlSKKZIXEJDEiIiKhTphoSV8+QAMANo/qib5APyurU+PrwxW6vZ4bEtTAgISKiDgkh0KAxBSTOryHpjpdMigcnDwBgaJSm1em7vJ49SFwLAxIiIupQs04PnV4AAHyVrp8hAYBbx8Yi1E+Bi5WN+G8HZ9+0ZupB4oy+KtQeAxIiIupQg7qlDsPXxWtITHwUMtw7qT8A4N0d56E3BlSXEkK0ZEgYkLgEBiRERNQh03KNQiaFXOY+HxdLJsQhQCnH2ZI6bD1d3OE1NY1ac8Eul2xcg/u8w4iIyKFMW3593KCgtbVAby8smRAHAHg37TyEaJ8lOV9mOCgwzF8BbzfJ/vR2Ng9IUlNTIZFIsGLFCgCARqPBM888g+HDh8PPzw/R0dFYunQpCgq6XtsjIiLnanCjHTaXundSfyjlUhzPq8Ke8+Xt7t93wXDb6H7Bjh4adcKmAcnBgwexdu1apKSkmG9raGjAkSNH8OKLL+LIkSP45ptvkJmZifnz59vypYmIyMbMPUjcMCAJ81fijiv7AQD+seNcu/v3GoOUiQNDHTou6pzNApK6ujosXrwY77//PoKDWyJOlUqFrVu34tZbb0VSUhLGjx+Pt99+G4cPH0Zubsfd9NRqNWpqatp8ERGRY5l6kPi5wZbfjjwweQDkUgn2nC/H0dxK8+1qrQ4HsysAABMTwpw1PLqEzQKS5cuXY968eZg5c2a311ZXV0MikSAoKKjD+1NTU6FSqcxfsbGxthomERFZyJ0zJIBhO+8No/oCMNSSmBzLrUKTRo8wfwUGRfg7a3h0CZsEJOvXr8eRI0eQmpra7bVNTU149tlnsWjRIgQGBnZ4zXPPPYfq6mrzV15eni2GSUREVqh3k3NsurJsykBIJMDWjGL8VlQLAOaakgkDwyCRSJw5PGqlxwFJXl4eHn/8cXz66afw9u5665RGo8Htt98OvV6Pd999t9PrlEolAgMD23wREZFjuVPb+M4kRPjj2mFRAFpqSfacLwPA+hFX0+OFwcOHD6OkpARjxowx36bT6bBr1y688847UKvVkMlk0Gg0uPXWW5GVlYXt27czyCAicnEtB+u5Zw2JySNTE/C/9CJ8f7wAg/sE4FheFQAGJK6mx++yGTNmID09vc1t99xzDwYPHoxnnnmmTTBy9uxZ7NixA6GhfBMQEbm6xl6wZAMAw/qq8MTMRPz950y8tvk3AIb6kn4hvk4eGbXW44AkICAAw4YNa3Obn58fQkNDMWzYMGi1Wtx88804cuQIfvjhB+h0OhQVFQEAQkJCoFAoejoEIiKyA3MfEjc5x6Yrj81IQFVjMz74NRuAITvC+hHXYvc83MWLF/H9998DAEaOHNnmvh07dmDq1Kn2HgIREV0G80m/br5kAwASiQQvzktGk0aPLw/mYv7IaGcPiS5hl3dZWlqa+c/x8fEdtu0lItfS0KzFx3tzsGBkNPqoeNgYAQ3q3rFkYyKVSpC6cDj+eH0y28W7IJ5lQ0QAgH/uvICVm85g2SeHOz0hlTyLu/ch6QyDEdfEgISIAAA/G09FPX6xGl8fZu8fAho17r/tl9wHAxIiQlF1E04VtBzR8Nrm31DdqHHiiMgVuPPheuR+GJAQEbafKQEApMSokBDhj/L6Zvx9a6aTR0XO1rJk4/5FreT6GJAQEbafMSzXzB4ahZeuHwoA+GRfjrnVNnkmUx8SP2ZIyAEYkBB5uCaNDrvPGVppTx8cgUmDwjBnaBR0eoGXvj/FXXIerLcWtZJrYkBC5OH2ni9Hk0aPaJU3BkcFAABemDcESrkUey+U43/pRU4eITlLSw0Jl2zI/hiQEHm4bcblmulDIsydK2NDfPHw1IEAgFd+zECDMXVPnkMIYf7/zqJWcgQGJEQeTAiB7acNBa0zBke2uW/ZlIHoG+SDguomvJd23hnDIydSa/UwtaPhkg05AgMSIg92oaweBdVNUMikGD+g7aGX3l4yvHjdEADAe7suILe8wRlDJCdpNC7XAIAvG4mRAzAgIfJgvxqLWcfGB3f4W/DsoVGYlBCGZq0eL/+Y4ejhkROZzrFRyKWQy/hRQfbHdxmRB9t91hCQXJUQ1uH9EokEf7w+GXKpBFszirEzs9SRwyMnamT9CDkYAxIiD6XV6bH3QjkAYFInAQkADIoMwF0T4wEAf/r+FJq1ekcMj5ysXm066ZcBCTkGAxIiD5WeX43aJi0CveUY1lfV5bWPzxyEMH8lLpTV48M9We3u1+sFzpXUsmdJL8IeJORoDEiIPJSpfmTiwDDIpJIurw309sIzc5IAAKt/PouSmqY297+57SxmrtqFjUfz7TNYcrhGjWnJhj1IyDEYkBB5KFN31qsGdb5c09pNo2MwMjYI9c06rNx0xny7RqfH5/tzAAD7jEtA5P6YISFHY0BC5IEamrU4klMFoOv6kdakUgn+NH8oJBLgm6P5OJxTAQD45WwpyuqaAQDnS+vtMl5yPFNAwnNsyFEYkBB5oANZFWjW6dE3yAfxob4WP25EbBBuHRMLAPjj96eg0wtsONKyTHOhtM7mYyXnaGTbeHIwBiREHujn04Z28VcPCjO3i7fUU3OSEOAtx8n8Grz/ywVszSg231fZoEFFfbNNx0rOwSUbcjQGJEQeRqcX2HzSEETMGRZl9ePD/JV4YmYiAGDlpjNo1uqRFBmAaJU3AGZJegueY0OOxoCEyMMcyq5AWZ0agd5yTBxoWf3IpZZMiENipL/5+4Wj+2JghOH78wxIegVmSMjRGJAQeZhNJ4sAALOSo6CQX94/AV4yKV66figAQCoBFozsi4HhhoDkAgtbewVTQOLrxRoScgy+04g8iF4vsNkYkMwdbv1yTWsTE8Lw1h2j4OMlQ5TKGwPC/QAwQ9JbmFrH+ymZISHHYEBC5EGO5lWhqKYJ/ko5JlnYf6Qr80dEm//MDEnvwiUbcjQu2RB5kE3phQCAmUMioJTb9oPGlCHJqWjgeTe9QKPGtO2XAQk5BgMSIg+y7UwJAODa4X1s/txRgd7wVcig0wvkVjTY/PnJserVhiUbH9aQkIMwICHyEM1aPXLKDcspo/oF2fz5JRKJedmGdSTuz1zUygwJOQgDEiIPUVDVCL0AvL2kCPdX2uU1TMs2rCNxf1yyIUdjQELkIUzLKLHBvlZ3Z7UUMyS9RwNbx5OD2TwgSU1NhUQiwYoVK8y3CSHw0ksvITo6Gj4+Ppg6dSpOnTpl65cmoi7kVRoCkn4hlp9dY62WDAkDEnfXyCUbcjCbBiQHDx7E2rVrkZKS0ub21157DatWrcI777yDgwcPIioqCrNmzUJtba0tX56IumDOkNgxIDFlSDKL61DdoLHb65B9CSHYOp4czmYBSV1dHRYvXoz3338fwcHB5tuFEHjzzTfxwgsvYOHChRg2bBg++ugjNDQ04PPPP7fVyxNRNy5WNAKwb0AyKMIfA8L8UKfW4s8/ZNjtdci+1Fo99MLwZ/YhIUexWUCyfPlyzJs3DzNnzmxze1ZWFoqKinDNNdeYb1MqlZgyZQr27NnT4XOp1WrU1NS0+SKinmmpIfGx22vIZVL87ZYUSCTAhiMXsf1McfcPIpdjqh8BWENCjmOTgGT9+vU4cuQIUlNT291XVGRoUx0ZGdnm9sjISPN9l0pNTYVKpTJ/xcbG2mKYRB7NFJD0C7VfhgQAxsSF4L6r+gMAnvsmvcOlGyEENhy+iCO5lXYdC10e03KNQi6FTGqfAmiiS/U4IMnLy8Pjjz+OTz/9FN7e3p1ed2lVvxCi00r/5557DtXV1eavvLy8ng6TyKNVN2pQ3WgIDGKD7RuQAMAfZidhQJgfimvUHS7d7Dlfjie/Po4/fHXc7mMh61UZg8hAby8nj4Q8SY8DksOHD6OkpARjxoyBXC6HXC7Hzp078dZbb0Eul5szI5dmQ0pKStplTUyUSiUCAwPbfBHR5cszZkdC/RTwU9o/Be/tJety6eaHEwWGcVU2QAhh9/GQdXLKTTuy7Le8R3SpHgckM2bMQHp6Oo4dO2b+Gjt2LBYvXoxjx45hwIABiIqKwtatW82PaW5uxs6dOzFx4sSevjwRWeBipf132FxqTFwI7p9kWLp5dkPL0o1Wp8dPpwwBikYnzL+Nk+swLe/Fhfo5eSTkSXr8q1JAQACGDRvW5jY/Pz+Ehoaab1+xYgVeffVVDBo0CIMGDcKrr74KX19fLFq0qKcvT0QWMNePODAgAYAnr0nCttMluFBWjz/9cAqrbh2J/VkVqKhvNl9TWqdGsJ/CoeOiruVWGDrtOjKAJXJI+fTTTz+NxsZGPPLII6isrMS4ceOwZcsWBAQEOOLliTxeSw8Sx6bgTUs3N7+3F98cycfcYX2w47eSNteU1qqRGMl/C1yJswJY8mx2CUjS0tLafC+RSPDSSy/hpZdessfLEbmkT/blQKfTY+mEeEidvFMhz9iDxBkfMKalm/d/ycLzG9OhMza48FXI0NCsQ2mtusevodcLfHc8HxMGhCFK1XlxPVnGVEMSZ+cdWUSt8SwbIjvYdroYL357Ei/9NwOPfnEETRpd9w+yo7xW59g4w5PXJGFAuB9KatUor29GkK8XpiVFAIBNApL1B/PwxJfH8Zcf2YytpzQ6PQqqnBfAkudiQEJkY00aHf7035YPxv+lF+HOf+1HTZNzijf1eoGLlfbv0toVby8Z/nbzCJh2+s9OjkIfYyajtK7nAcmmk4UAgNOFbKLYU/mVhlOhlXIpIgLscyo0UUcYkBBZoEmjwxcHcvHt0XyczK/uMuPx/q4LyK1oQGSgEuvuGosAbzkO5VTiX7suOHDELYprm9Cs00MulZiDAGcYExeMP1yThBA/BZZMiEO48cOupxmSmiYN9l0oB2BYmjItCdHlaV0/Yq9ToYk6wp7ARBb45kg+nt+Ybv6+j8obP/9+SrueHhcrG/CPtHMAgOfnDsGMIZF4cV4ynt5wArvOluH31yQ5dNxASz1AdJAP5DLn/g6yfFoClk9LAABkFhsO1+xpQLIrsxQanSEIadbpUVjdiBgnLU31BjkVrB8h52CGhMgC50rqAAARAUoo5VIUVjfh13Nl7a575cfTaNLoMa5/COaPiAYATEwIBQCk51ejTq112JiFEPjv8QI89sVRAMDAcNfqKWGrDMnPGW2brpkCMLo8eQ44FZqoIwxIiCxgKvJ7ZOpA3HaF4WylXWdL21zzy9lSbDpZBJlUgj8tGGpOd8cE+yI2xAc6vcDBrAqHjDerrB5L/30Av/viKEpq1egf5odnrx3ikNe2VERAz2tINDo9tp8xbCMO8zcEONnl9T0fnAfLMc5fHAMScjAGJEQWKKw2BCTRQT6YPCgcALArsyVD0qzV44/fnwIALJ0Qh8FRbY87mDggDACw11jrYC9NGh3+vjUTs9/chV/OlkEhl+KJmYnY9PjVSIpyrV4fpgxJRX0zNDr9ZT3HwewK1DRpEeKnwHUpfQAwQ1LTpMEHv2ahuKbpsh6fa9oiziUbcjAGJEQWyK8y/OMeHeSDCQND4SWTILeiAdllht8mP/g1CxdK6xHmr8CKmYntHj9hoGHZZu95+wUkuzJLMefNXVi97SyatXpcPSgMW1ZMxuMzB8HbS2a3171cQT5ekBv7s5TXNXdzdcd+zjBkR6YPjsAA45KU6f+Jp/ro12z86b8ZuOP9fahqsG5ehRDINWZI+oW41hIf9X4MSIi6odbqUGZcVogO8oGfUo4xccEADMs2RdVNeGvbWQDAM3MGQ+XT/oRUU0BysqDafKaLLa1JO4+l/z6A7PIGRAQo8c6iUfj43isRH+a6HypSqcS8zHK5dSSmZbOZQyLN5654eobkWF4VAOBCaT0e/OQw1FrLe+BU1DejvlkHiQSICebBeuRYDEiIulFUbciOeHtJEexrCDamJBqaeu3KLEXqptOob9ZhVL8g3DQ6psPniAz0xoAwPwgB7M+yfZbk0305AIA7ruyHbU9OwXUp0W6xZdO0bFNSa/3yglanN2dDUmJUiDcuMeRU1EPvwVt/M4y9WGRSCQ5kVeDp/5yweD5MO2yiAr1dMqtGvRsDEqJu5BsLWqNVPuYP+cmJhpqQnZml+O5YASQS4M/zh3XZIn68adnGxnUk9WqteYxPz05CgHf7DI2r6slOm8LqJmj1Agq5FFGB3ugb5AO5VIImjR4lNuj+6moOZFVg0fv78P3xgk6vqahvRqExgP7HolGQSyX47lgB/vxDBoToPijhDhtyJvYhIepGYav6EZMhUYEI81eal3IWXdkPw2NUXT7PxIGh+Hx/rs3rSLKMWYJQP4XbnZob3oMlG9PSTGywD6RSCaSQICbYB9nlDcgur+9VZ9qsP5CLF787CY1O4EBWBaJV3hgbH9LuuowCQ3YkPtQXc4b1wd9u0eGJL4/jwz3ZUPl44YHJA9DYrENjsw4NGm3Ln5t1aNTosMW4hZo7bMgZGJAQdcO05bd1l1OpVILJg8LwzdF8BPl64Q8WNDy7sr/hA+RMUS0amrXwVdjmr5+pR8rACH+bPJ8jmTMkl7H117S9Nz60pU4mLtQP2eUNyCmvx/gBobYZpJO9s/0sXt+SCcDQB6ekVo2HPzuCH383CRGBbYOuUwXVAICh0Ybg+MZRMahu0OCl/2Zg9bazWG2sdeqOK9ceUe/FJRuibhS02vLb2l0T45EQ4Y+VC4dblJmICPBGiPG6C6W22wliCkgS3DkguYwMibnFeavtqaY6kuxeUtgqhMA/jUcOPDZjEHb8YSqSIgNQagxKmrVtt0ufMmZIkqNbtp3ffVV/PD0nCV6yluVEX4UMoX4KxAT7YFCEP0bEqDCufwimJYXj1rExuGVsx7VQRPbEDAl5pL/9dAb/Sy/CqzcON++A6UyBecmm7W+jI2KD8PPvp1j1ugkR/jiQVYGzJbUY1rfrJR5LmTMk4Z4VkHTUwKtlp03v2PpbWN2E2iYt5FIJHp2WAIVcin8uGYPr39mNwzmV+MuPGfjzgmHm600Fra0DEgB4ZGoC7pnYH4ChONsdCp7J8zBDQh7p60MXkVVWjzvX7ce/d2d1WfBnWrK5NENyORIjDUFDZnFdj5/L5Fyp+2ZIInqwZGOqIYlrtWQTH2bMkJT1jgzJb0WG834GhPtBITf8cx0f5ofVt48EAHy8Nwf/OXwRANDYrMMF43thaJ/Ads/lo5DBRyFjMEIuiwEJeZwmjc68C0OnF/jzDxl48uvjHZ7gK4SwaUAyKMLQLfWsjQISTautr+4YkFxuhkQI0eGSTesMiSW7Slzdb8YDCBMj23bZnT44EitmDgIAvLAxHSfzq3GmqAZ6AYT5K8zzSuROGJCQx7lYaQgw/BQyvHhdMmRSCb45ko9b3ttr3j5rUtOkRX2zIVCJVtkiIDEEDedKanv8XIAhS6DVC/gqZIh2w10lpsZoDc061Ftx8GBpnRoNHTTwign2gVQC1DfrUHaZ3V9dSaYxQzK4g7b/j00fhBmDI6DW6vHQJ4fNhz0mR6uYBSG3xICEPE7rXgv3TeqPT+67EiF+CqTnV2P+27uxr1WfEFN2JNjXCz6KnjeKSjAu2eRWNHSYkbFW6/oRd/wQ8lPK4WecV2uyJLnG5ZpolQ+U8pb/L0q5DH2NAcr5UtstiznLmaKOMySAYafXqttGon+YH/KrGrFqq2EnTnIHyzVE7oABCXmcvMq2zZ8mDgzD949ehaHRgSivb8bif+3HB78a6kpMh+r1sUF2BDD03VD5eEEvLn+nTfrFaryz/SyaNDrzh647LteYXM7W35b6kfb9MszLYiXuHZBodXpzfVBnByOqfLzw3p1j4KuQwdSMdWg0AxJyTwxIyOOYMyTBLR9mMcG++M+yibhhZDR0eoE//TcDq7ZmtjlUzxYkEol52ebsZS7bvPxDBl7fkolVWzPdesuvibl9fI0VAUlFVwGJcVms2DbLYs6SU9GAZq0ePl6yNu/VSyVFBeC1m1PM39tq9xaRo3HbL3mcPNPx6iFtgwwfhQx/v20kkqMD8er/zuDdtPO4epChRfylW357YlCkPw7lVJqDCWuZsiL/3p1lrsFwxy2/JqF+hp+hwoqTaXO6OJF2kHF5w5Y7mZzhN/NyjX+XRxIAwHUp0WjW6lHbpEV/NjUjN8WAhDxObhfndUgkEjw4eSCO51Xjx/RCpP1mOE3WVhkSAEjowU6bOrUW5fWGD26tXqCopsn4nO4bkJiaylXWWxOQdJ8hcfclG1NA0tlyzaUWdnKwI5G74JINeZxLa0g68n/XJyNA2RKv2zIg6cmSjamY01chM/elkEslHX4wu4sQP8NhgBVWBCS5XSzZmIKzsjq1VUGOq8nsZMsvUW/FgIQ8SnWDBrVNhu2lrbeLXioy0BtPz2k5n8aWW2oHGXfaZJc3tGv93Z3cinrjcwRg2eQBAAzLNV4y9/2rHOxrzJBYuGRT06QxBy+tm6KZ+Cnl6GsMIN05S2JthoTI3XHJhjyK6TfrMH9lt4fbLR4Xh52ZZcgur2/XirsnogK9EaCUo1atRXZ5vVW/AZuXKkJ88ci0BMhlUrc/RM50vo+lGRJTlijUTwF/Zcf/DwdF+iO/qhFnS2rNhxq6kyaNznx4IAMS8hQMSMijtCzXdL8EI5VK8P7SMTbv7yGRSJAQ6Y+juVU4W1zXbUCi1ekhN2ZAzN1JQ3zh7SXDYzMG2XRszmBthiTDeIBcvy6WqRIjA5D2W6nNOuI62rmSOuiFof9NuD+7rpJncN88L9Fl6GjLb1fs1WxscJQh47L5VFGn15wurMEda/dh2Es/4cTFKgAdn3Dr7lqKWjUWXf/Z/hwAwIzBEZ1ek9DDrdXOdjK/GoAhsHLHhndEl4MBCXkUazIk9rR4XD8AwA8nCtq1ka9qaMYfvzuJeW/9gr0XytGk0WPzSUPg0nrJprcI8bV8yeZobiWOX6yGQibF7Vf26/Q6c+Gwm2ZIfjG2gR/n5stxRNZgQEIeJdfcg8S5H+jD+qpwTXIkhADe3n4OgOGgv8/252Da62n4aG8O9KLlN/1DOZXQ6PTms3Y6KuZ0V8HGXTaNGh0am7tup//hnmwAwPUjos09WDpi6kVSUqtGdYNlmRdXodML7D5rCEimJIY5eTREjtPjgGTNmjVISUlBYGAgAgMDMWHCBGzatMl8f11dHR599FHExMTAx8cHQ4YMwZo1a3r6skSX5aKVSzb2ZKr/+P54ATYcvoj57+zGCxtPorJBg6TIAHz+wDi8d+cYAMDxvCrklDdApxdQyqWI6EWnufor5fCSGZYluqojKaltwv/SCwEAd0+M7/Y5TTuj3G3ZJj2/GtWNGgR4yzEiJsjZwyFymB4XtcbExGDlypVISEgAAHz00UdYsGABjh49iqFDh+KJJ57Ajh078OmnnyI+Ph5btmzBI488gujoaCxYsKDHPwCRpfR6YT7pt6seJI5iypJsySjGk18fBwAEesvx+1mJuHN8HOQyKYQQCPb1QmWDBpuMH8axIb7ddu50JxKJBMG+CpTUqlFR39xpz5fP9+dCoxMY3S8Iw2O6b4+eEBmAguomnC2pw9h499lpsyvT0IzvqoFh5mJmIk/Q43f79ddfj7lz5yIxMRGJiYl45ZVX4O/vj3379gEA9u7di7vuugtTp05FfHw8HnzwQYwYMQKHDh3q8eCJrFFc24RmnR4yqQR9bNhXpCcenzkIMqkEEglwx5Wx2PGHqbj7qv7mDyKJRIIxccEAgG+O5gPoXfUjJqatv51lSJq1eny2PxcAcFc32RGTRONy1/YzJVBre36ysqP8ctYQkExODHfySIgcy6bht06nw/r161FfX48JEyYAACZNmoTvv/8e+fn5EEJgx44dyMzMxOzZszt9HrVajZqamjZfRD1lOsMmOsjbZX7zHBqtwnfLr8LWJyYjdWEKQjuoixgTZ/jtPqvMeH5LL9phYxLcTWHrppOFKK1VIyJAiWuH9bHoOU0f6FszijHvrd04kltp1Zi6q2exh5omDY7kVgGA+RwlIk9hk3+V09PT4e/vD6VSiWXLlmHjxo1ITk4GALz11ltITk5GTEwMFAoF5syZg3fffReTJk3q9PlSU1OhUqnMX7GxsbYYJnk404FsrlA/0tqwvirz+TYduSI+uM33vTpD0klAYipmXTwuztwyvzuTE8Px3p2jEeavxLmSOty0Zg9e/iHDokDjy4O5GPJ/m801K46y51w5dHqBAWF+LrGsSORINglIkpKScOzYMezbtw8PP/ww7rrrLmRkZAAwBCT79u3D999/j8OHD+ONN97AI488gp9//rnT53vuuedQXV1t/srLy7PFMMnDmTpfxrvZaajD+qqgaJXR6ZUZEtN5Nh3siDlxsQpHc6vgJZPgjnHW/XIyZ1gf/Pz7yVg4ui+EANbtzsLsN3dhz/myLh/36T7D8tBPXfSJsQcu15Ans0mnVoVCYS5qHTt2LA4ePIjVq1fjzTffxPPPP4+NGzdi3rx5AICUlBQcO3YMr7/+OmbOnNnh8ymVSiiVvWcXAbmGbGMPj/5utmXW20uG4TEqHM4xLDn0C3Gv8VvC1IukowyJKTsyb3gfRARYX/sT5KvAqltH4voR0Xjhm3TkVjRg0fv7sWhcPzx37WAEeHu1ub6ougnpxsZkpq6wjtCk0WFLRjEALteQZ7LLQroQAmq1GhqNBhqNBlJp25eRyWTQ6607VIyop7LL3DNDAgBjjYWtEonzm7rZg6lba8UlRa1ldWr8cNy41feq/j16jWlJEfjpicm4c7yhodrn+3Ox4J1f0aRpu4Sz7Uyx+c/nS+va3W8vG4/mo7RWjT4qb1w9iBkS8jw9Dkief/55/PLLL8jOzkZ6ejpeeOEFpKWlYfHixQgMDMSUKVPw1FNPIS0tDVlZWfjwww/x8ccf48Ybb7TF+IksIoQwByT9w9xvycO0bTVa5QOlXObk0dheZzUkX+zPRbNOjxGxQRgZG9Tj1wnw9sJfbhiOLx4YjzB/JS6U1eP74wVtrtl2usT8Z71oOXXXnnR6gbW7LgAA7pvU3+I6GaLepMfv+uLiYixZsgRJSUmYMWMG9u/fj82bN2PWrFkAgPXr1+OKK67A4sWLkZycjJUrV+KVV17BsmXLejx4IkuV1TWjvlkHiQSIcbGiVktMSwrHg5MH4P+uT3b2UOyio102Gp0enxrPrbl7YpxNX2/CwFDcf7Uh4/LRnmwIIQAADc1a7Da2be9r7IdyutD+yzZbThUhq6weKh8v3NFFS3yi3qzHNSTr1q3r8v6oqCh88MEHPX0Zoh4xFbRGq3zg7eV+GQa5TIrn5w5x9jDsxpQhqWpV1PrTqSIU16gR5q/A3OGWbfW1xm1jY/H3rZk4VVCDI7lVGBMXjF/OlqFZq0dsiA/mDI3C+79kIcPKgKSktgnHcqswc0hklw3sNDo96pq0qFNrsWbneQDAXRPi4KfkIezkmfjOJ4+QZV6ucb/6EU/QuoZECAGJRIIPf80GACwaF2eXZapgPwXmj4jG14cv4uO92RgTF4xtpw31IzOHRGJotKEbrDWFrdvPFOPJr46jskGDVbeOwMLRMQCA/6UX4r2d51HTqEGdWovaJi3U2rZ1dN5eUoubvhH1RgxIyCO0FLS633KNJzDtsmnW6tHQrENWWT0O5VRCLpWYT0a2h7smxuPrwxfxv/RCRAQo8eMJQwHtzCGRCDeeF3S6sAZ6vei2Xf9rm8/g3bTz5u9/OlWEhaNjIITAKz+eNh+MeCkfLxkCvOV4cPKADhvjEXkKBiTkEXKMW37j3WzLr6fwUcjg7SVFk0aPivpmfLw3GwBw7fA+iAy0X5v/YX1VGNUvCEdzq/D+L1kADCdBXxEfAqkEUMilqG/WIbeiocvdWUdzK83ByJyhUdh8qgi/nC2DWqvD2eI65Fc1wsdLhg/vuQIqXy/4K+UIUHrBTylzma7BRM7GvwnkEUxLNgxIXJcpS1Jap8ZPpwxLJ4scUOD59OzBiA/1xbzhffCPRaOxecXVUMilkMukSIo0dNDtrrA17TdDQ7Nrh0Xh3cWjERGgREOzDvsvVJibq01NCse4AaEYHBWImGBfqHy9GIwQtcK/DdTrCSHctkurJzHVkWw/XYLqRg1UPl7t2ubbw4SBoUh7ahr+sXg05qX0ga+iJXGc3CcQALotbDV1WJ2aFA6pVILpgyMAGA7223zSEJDMHhplj+ET9RoMSKjXK61To6FZB2kvbSrWW5i2/m40nmo8OTHc6RmE5GhjQNJFYWt1gwbH8qoAwNzQbJoxIPnmyEWcLamDl0xivo2IOsaAhHq97DJD/Uh0UO9sKtZbmDIkpuLP6YOd363UFJAczavC+dK6Dq/Zc74MegEkRPgj2ti7ZFJCGBQyKWqatACAiQPDoPLx6vDxRGTAgIR6vWxu+XULIb4tH9gSCTAl0fkZheQ+gQgPUKKivhmz/74LL/+QgerGtgcA7jIu17Q+f8ZPKcf4gaHm77lcQ9Q9BiTU65nrR1jQ6tJMGRIAGBkbZG6W5kx+Sjm+emgCZgyOgFYvsG53Fqa9nobP9+dCpxcQQmBXpqGz66Un9M4wLtFIJMCs5EiHj53I3TAgoV7PFJDEhbIHiStrHYBMT3J+dsSkf5gf1t19BT685woMDPdDRX0znt+Yjuve3o2vD11EflUjFDIpxvUPafO4a4dHIVrljRtH9TX3NCGizrEPCfV6psPRBob7O3kk1BVTUSsAlywAnZoUgasSwvDpvhz8fWsmThfW4OkNJwAAV/QPbrM7BwAiAryx57kZzhgqkVtihoR6tcr6ZpwvNWRIRtjgtFiynyiVoQFaZKASQ43FpK7GSybFPVf1R9pT03Dn+H4wNW+d5kIZHSJ3xQwJ9WqHcyoBAAPD/VyiJoE6NzYuGC/MHYKR/YIgkXTdpt3ZQvwU+MsNw3Hn+Dgcy63CTWNinD0kIrfHgIR6tUPGgGRsXEg3V5KzSSQSPDB5gLOHYZXBUYEYHOWa2Rwid8MlG+rVDmVXAADGOKDjJxERXT4GJNRrqbU6nMivBmBYDiAiItfFgIR6rZP51WjW6hHqp2BTNCIiF8eAhHqtQ9mG+pExccEuXyRJROTpGJBQr2UuaGX9CBGRy2NAQr2SEMK85XcMd9gQEbk8BiTUK2WV1aOivhkKuRTD+nJbJhGRq2NAQr1STnkDACAh3B9KuczJoyEiou4wIKFeqabJcES8ysermyuJiMgVMCChXqm2SQsACPBmM2IiInfAgIR6JVOGJJAZEiIit8CAhHolZkiIiNwLAxLqlWqNGZIAb2ZIiIjcAQMS6pVqGg0ZkkBmSIiI3AIDEuqVTBmSQGZIiIjcAgMS6pVYQ0JE5F56HJCsWbMGKSkpCAwMRGBgICZMmIBNmza1ueb06dOYP38+VCoVAgICMH78eOTm5vb0pYk61RKQMENCROQOehyQxMTEYOXKlTh06BAOHTqE6dOnY8GCBTh16hQA4Pz585g0aRIGDx6MtLQ0HD9+HC+++CK8vb17PHiizrRs+2WGhIjIHUiEEMLWTxoSEoK//e1vuO+++3D77bfDy8sLn3zyyWU/X01NDVQqFaqrqxEYyHNJqHvD/vgT6tRa7PjDVPQP83P2cIiIPJI1n982rSHR6XRYv3496uvrMWHCBOj1evz4449ITEzE7NmzERERgXHjxuHbb7/t8nnUajVqamrafBFZSqcXqFOzhoSIyJ3YJCBJT0+Hv78/lEolli1bho0bNyI5ORklJSWoq6vDypUrMWfOHGzZsgU33ngjFi5ciJ07d3b6fKmpqVCpVOav2NhYWwyTPESdsX4EYEBCROQubLJk09zcjNzcXFRVVWHDhg3417/+hZ07dyIoKAh9+/bFHXfcgc8//9x8/fz58+Hn54cvvviiw+dTq9VQq9Xm72tqahAbG8slG7JIXkUDrn5tB5RyKX77y7XOHg4RkceyZsnGJr8+KhQKJCQkAADGjh2LgwcPYvXq1Xj77bchl8uRnJzc5vohQ4Zg9+7dnT6fUqmEUqm0xdDIA3GHDRGR+7FLHxIhBNRqNRQKBa644gr89ttvbe7PzMxEXFycPV6aiDtsiIjcUI//xX7++edx7bXXIjY2FrW1tVi/fj3S0tKwefNmAMBTTz2F2267DZMnT8a0adOwefNm/Pe//0VaWlpPX5qoQ8yQEBG5nx4HJMXFxViyZAkKCwuhUqmQkpKCzZs3Y9asWQCAG2+8Ee+99x5SU1Px2GOPISkpCRs2bMCkSZN6PHiijrS0jWeGhIjIXfT4X+x169Z1e829996Le++9t6cvRWQRto0nInI/PMuGep2aRh6sR0TkbhiQUK9Ty6ZoRERuhwEJ9TqmGhIWtRIRuQ8GJNTr1DQaMiQsaiUich8MSKjXqWGGhIjI7TAgoV6Hu2yIiNwPAxLqdZghISJyPwxIqNcxZUjYOp6IyH0wIKFep6VTKzMkRETuggEJ9SrNWj2aNHoArCEhInInDEioVzFlRwDAX8mAhIjIXTAgoV7FVD/ip5BBLuPbm4jIXfBfbOpVWrb8sn6EiMidMCChXqVlyy+Xa4iI3AkDEupVzDtsfJghISJyJwxIqFepYZdWIiK3xICEXFpFfbN5GcYSNY3s0kpE5I4YkJDLqmpoxrTX0zD/7d1obNZZ9Bhzl1ZmSIiI3AoDEnJZe86Xo7pRg+zyBnywJ8uix3CXDRGRe2JA0oGtGcU4V1Ln7GF4vH0Xys1/XpN2HpX1zQCAi5UNOFVQjYr6Zggh2jyGu2yIiNwT/9W+xMn8ajzw8SFEBiqx6+lpUMplzh6SxzIFJN5eUtQ2afG3Lb9BIZPio73ZMMUhCrkUkYFKRAV6I0rlgxMXqwBwlw0RkbthhuQS6fnVAIDiGjW+O1rg5NF4rrI6NTKLDVmqlQtTAACf78/Fh3sMwUiInwKA4eyavIpGHMyuxH+PFyCnvAEAEGq8n4iI3AMzJJdovVSz9pcLuHlMDKRSiRNH5JkOZFUAAAZHBWDByGhsOHIRv5wtQ0ywD169cTgmJ4ZDrdWhpEaN4pomFNU0oaja8KWQSzF9cISTfwIiIrIGA5JLnC9tCUjOldRhx28lmDEk0okj8kym5ZrxA0IhkUjw7uLR+OVsGaYmhcNXYXjbKuUyxIb4IjbE15lDJSIiG+CSzSVMGZLR/YIAAGt3XXDiaDxXS0ASAsCwa2bu8D7mYISIiHoXBiStNDbrkF/VCAB4+YZhkEsl2J9VgeN5Vc4dmIdpXT9yZf9QJ4+GiIgcgQFJK+dL6yAEEOzrhaHRKswfGQ2AWRJHa10/EsLiVCIij8D8dyum+pGB4f4AgAcnD8A3R/Kx6WQhcssb0C/U/WoVmjQ63PfRQZTVNiM2xBdxob7oF2L4ig3xRUywD7y9XGtr837jcs24/iFOHgkRETkKA5JWTPUjCRGGgGRwVCCmJIZjZ2Yp1u2+gD8tGNbm+sLqRgT7KlzuA721Q9mV+PWc4QP+t+LaDq9JjPTHp/eNQ0SgtyOH1qljxiWysfEMSIiIPAWXbFoxZUhMAQlgyJIAwFeHLpo7hQLA4ZwKXP3XHZj6tzRsOVXk2IFaIavM8DONjA3CyzcMwwNX98fsoZEY0icQfgpDIJVZXIfd58qcOUwztVaHjMIaAIYxExGRZ+hxQLJmzRqkpKQgMDAQgYGBmDBhAjZt2tThtQ899BAkEgnefPPNnr6sXZgyJANbBSQTB4ZiaHQgGjU6fLIvx3z75/vzoNULFNU04cFPDuPRz49Aq9M7fMzdySozNAq7Ij4YS8bH4YV5yfjnkrHY9PjVOPmn2bjBWCdTVNPkzGGaZRTUQKMTCPFTICbYx9nDISIiB+lxQBITE4OVK1fi0KFDOHToEKZPn44FCxbg1KlTba779ttvsX//fkRHR/f0Je1Cq9Mjq6weAJAQ3hKQSCQSc5bkoz3ZaNLo0KTR4SdjVuT6EdGQSSX44UQhfj5d7PiBd8OUIekf5t/uPolEgr7GD/3iavsHJBqdHnvPl6NJ0/nJvaYdTSNiVJBI2JCOiMhT9Dgguf766zF37lwkJiYiMTERr7zyCvz9/bFv3z7zNfn5+Xj00Ufx2WefwcvLNc8Yya1ogEYn4OMlQ9+gtr+ZzxveB32DfFBe34xvjuRj+5kS1Km16Bvkg9W3jcSS8XEAgJ2Zpc4Yepeyja3U48M6LsiNMtaNFDogIPn37izc8f4+3L52X5vlr9aOXzS07h/B5RoiIo9i0xoSnU6H9evXo76+HhMmTAAA6PV6LFmyBE899RSGDh1q0fOo1WrU1NS0+bIX02mxpuWaAeF+7VrFy2VS3DupPwDgX79cwLdH8wEYsiNSqQRTksIBALsyy9qdPutMGp0euRWGgGRABxkSAIg0BiTFDliy2Xa6BIChaPXm9/aYe760Zs6QMCAhIvIoNglI0tPT4e/vD6VSiWXLlmHjxo1ITk4GAPz1r3+FXC7HY489ZvHzpaamQqVSmb9iY2NtMcx2mjQ6TH9jJ57fmI5NJw1LMK0LWlu7/YpYBHrLcaGsHlsyDEszC4z1F+P7h0IhlyK/qrFN63lny6togE5vyPpEBio7vCZKZQhI7F1D0tCsxdG8SgBAmL8C50vrcdO7e5DZaudPdYMGF4zLZiNjguw6HiIici02CUiSkpJw7Ngx7Nu3Dw8//DDuuusuZGRk4PDhw1i9ejU+/PBDq+oBnnvuOVRXV5u/8vLybDHMdnafLUNWWT0+35+Ljcasx8DwjgMSP6UcdxqXZgDDVtnBUQEAAB+FzNwzI+0311m2yS43fLjHh/l1Ov+mgKS0Vm3XotyD2ZXQ6AT6Bvng+0cnISHCH0U1Tbh5zR4cyjY0QjuRXwUAiAv1RTAbohEReRSbBCQKhQIJCQkYO3YsUlNTMWLECKxevRq//PILSkpK0K9fP8jlcsjlcuTk5ODJJ59EfHx8p8+nVCrNu3ZMX/YwOTEcH917JRaN64cwfyVkUgmmJXV+SuzdE+OhkBmmbP6I6DYf8lMSjcs2Z11j+ywAXCg1BCQDwvw6vSbMTwm5VAK9AErr1HYbyx7jtuKJA0MRHeSD/yybgNH9glDTpMXif+3HzxnFOJZbBQAYwewIEZHHsUtjNCEE1Go1lixZgpkzZ7a5b/bs2ViyZAnuuecee7y0VRRyKaYkhmNKYjheXjAMWr0eSnnnTc4iAr3x5DWJ+OlUEW67ol+b+6YkhuMvP57G/guGXSSu0CytJUPSeYdZqVSCiAAlCqqbUFTdhD4q+2y13XPe0JztqoQwAECQrwKf3T8eyz8/gu1nSvDQp4fNBbasHyEi8jw9Dkief/55XHvttYiNjUVtbS3Wr1+PtLQ0bN68GaGhoQgNbXs4mpeXF6KiopCUlNTTl7YpmVQCmbT7IOKhKQPx0JSB7W5PiPBHtMobBdVN2HehHFO7yLQ4imkbc0dbfluLMo67qNVOm/I6NdbtzsJ3xwqwZEIclnXwM1uqqqEZJwsMu2cmDGx5P/goZPjnkjF4dkM6Nhy5aC5yHRmruuzXIiIi99TjgKS4uBhLlixBYWEhVCoVUlJSsHnzZsyaNcsW43MbEokEkxPDsf5gHt7/5QLCA5QYGu3cD9asUlNA0vUZPJcWtn53LB/PbDiBJo2hpuQfO87hnqviu8wedWXfhQoIYQjaIi9pT+8lk+L1W1IQHqDEezvPw9tL6vR5IyIix+txQLJu3Tqrrs/Ozu7pS7qs+SOj8eWhPPx6rhzz3tqNqweF4f2lY52yfNOk0aHAmPHoLkNiChJMAcnKTWfQpNEjJUaF/MpGlNc345fMMsxMjryssew531I/0hGJRIJnrx2MMXHB8FfKXWK5i4iIHItn2djQxIFhWP/AeFyX0gdeMgl+OVtm7ujqaKb6EZWPF4J9u25G18eUIaluQkltEwqrmyCRAF88MB7zjVubf0wvvOyx/GouaA3r8rpZyZFtlnSIiMhzMCCxsXEDQvHOotF44GpDu3lnBSSm5ZqutvyamDMk1U1IN3ZKTQj3h59SjutSDAHJ1oziLlu+d6ZZq8d541jGxAVb/XgiIvIMDEjsZM6wKACGviSX80HeU1nl3W/5NYlq1a31hDEgGR5jqOMYFRuEaJU36tTay+qxUmFsES+TShDK3iJERNQJBiR2MryvCtEqbzQ067DbCb1JzpcYMySh3Qckpq2+hdVNOHGxCkBLLxCpVIJ5KX0AAD+cKLB6HOX1ht4mwb5e7VryExERmTAgsROJRIJrhhqyJJsdvGzTpNFh2xlDe/uR/YK6vT7C2FZerdXjQJaha6opQwLAvGyz7XQJGpq1Vo3FlCEJ9eu4dT0RERHAgMSuZhsDkp9PF9u1Lful/pdeiKoGDfoG+WBSQteFpADg7SUzF77WN+sgl0qQ3KelO25KjAr9QnzRqNFh+5kSq8ZiCkhCuFxDRERdYEBiR1fEByPY1wtVDRpz5sERPt+fC8BwIKDMwmWSqFYdWhMjA9psvZVIWi3bHLdut015nTEg8WdAQkREnWNAYkdymRSzjL07HLXbJrO4FodyKiGTSnDrFZafkhzV6jTglJj2jcmuMwYkO34rQZ3a8mWbliUbBiRERNQ5BiR2Zlq2+elUMfR6YffXM2VHZg6JaNcVtSumbq0AkNLB4XbJfQIxIMwPaq0eP2cUW/y8pqJWLtkQEVFXGJDY2VUJYfBTyFBU04QT+dV2fa3GZh02HLkIAFg0Ls6qx7YOXjrKkEgkEnOWxJrdNqYlG2ZIiIioKwxI7MzbS4apgw0H7dl72WbTyULUNmkRE+yDqy0oZm3N1K1VIZciMTKgw2uuG2HYbbMzsxTVjRqLnrelqJW7bIiIqHMMSBzAvGxzsghC2G/ZZv3BPADAbWNjre75kRBhOO9mdL8gKOQdvy0SIwOQGOkPjU5gi4XBlbmGhEWtRETUBQYkDjAtKRwKmRQXyupxrqTOLq9xobQOB7IqIJUAN4+Nsfrxo/sF46N7r8Sbt43q8jpTT5IfTli226acRa1ERGQBBiQOEODthasSDIfG2WvZ5stDhuzI1KQIc+dVa0gkEkxJDG9T3NoRUx3Jr+fKUGkMNjqj0enNSzssaiUioq4wIHGQ2Xbs2qrR6bHhcD4A4DYrtvpejgHh/kjuEwitXnT7s5gCFokECPJlQEJERJ1jQOIgM5MjIZUAJ/NrcLGywabPvf1MCcrq1AjzV2K6sYDWnq4bYdluG9NyTbCvwuIGbURE5JkYkDhImL8SY+NDAABbTlnex8MSP500ZCoWju4LL5n9/5deN9xQR7L3fDlKa9WdXse28UREZCkGJA40x07LNudLDYWyoy04SM8W+oX6IiVGBb0ANp/svLi1nAEJERFZiAGJA10z1NBG/lB2BcrrOs8sWEMIgQtl9QCA/mH+NnlOS5iKW//bxW6bCuPPGMYtv0RE1A0GJA4UE+yLYX0DoReGE4Btoby+GbVNWkgkQFyor02e0xLzjNt/D2ZXoLimqcNruGRDRESWYkDiYOZlm5O2WbbJNmZHolU+bU7otbe+QT4Y3S8IQgA/dpIlKWOXViIishADEgczbf/99Vw5apssa7/elZblGr8eP5e1WpqkdbzbpoLn2BARkYUYkDhYQoQ/BoT7oVmnR9pvpT1+PlOGJD7Mccs1JvNS+kAiAY7kViG/qrHd/VyyISIiSzEgcTCJRIJrkg1Zkl/O9jwgyXJCQatJZKA3rjBuZf5fB8s25fWGolZmSIiIqDsMSJxggHF5paseHpYyBSQDnLBkAwDXp3TeJM2cIeEuGyIi6gYDEicINmYMKhp6VkOi1wtkl5uWbJwTkMwZ1gdSCXD8YjVyy1s60Gp1elQZz7EJZVErERF1gwGJE4T4eQFAt4fTdae4tglNGj3kUgligq0/UM8WwgOUmDDQcHDgD+ktWZLKBg2EMPw52NfLGUMjIiI3woDECUzbYHsakGSVGrIjsSG+DmkZ35k5wwzLNrvPlplvMy3XBPl6Qe7EsRERkXvgJ4UThBhPvq1Va6HW6i77ebLKnbflt7VRsUEAgJP51RDGtIipoJU7bIiIyBIMSJwgwFtuPv22qgd1JKYMibMDksTIAChkUtQ0aZFbYagjMWVIuMOGiIgs0eOAZM2aNUhJSUFgYCACAwMxYcIEbNq0CQCg0WjwzDPPYPjw4fDz80N0dDSWLl2KgoKuj63v7aRSibmuoqIHyzZZZc4taDVRyKUY0icAAJCeXw2APUiIiMg6PQ5IYmJisHLlShw6dAiHDh3C9OnTsWDBApw6dQoNDQ04cuQIXnzxRRw5cgTffPMNMjMzMX/+fFuM3a0FG5dtelJHYlqycdaW39aG9VUBANIvGgKSjIIaAIbze4iIiLoj7+kTXH/99W2+f+WVV7BmzRrs27cP9913H7Zu3drm/rfffhtXXnklcnNz0a9fvw6fU61WQ61u6dFRU1PT02G6nJatv5cXkDRr9cgzLo84O0MCACkxKny235Ah0esFtp8pAQBMTQp38siIiMgd2LSGRKfTYf369aivr8eECRM6vKa6uhoSiQRBQUGdPk9qaipUKpX5KzY21pbDdAkhPciQNGl0WP75EWh0AkG+XugT6G3r4VnNnCHJr8bJgmqU1Krhp5Dhyv4hTh4ZERG5A5sEJOnp6fD394dSqcSyZcuwceNGJCcnt7uuqakJzz77LBYtWoTAwMBOn++5555DdXW1+SsvL88Ww3Qppu6lFfXWFbXWqbW498OD2JpRDKVcilW3joDUWCDrTImRAVDIpaht0uKDX7MBAFcPCodS7rgTiImIyH31eMkGAJKSknDs2DFUVVVhw4YNuOuuu7Bz5842QYlGo8Htt98OvV6Pd999t8vnUyqVUCp7d3dPU4akot7y9vGV9c24+8ODOJ5XBT+FDP+66wpzUzJn85JJkdwnEMfyqvDdsXwAwPQhEU4eFRERuQubZEgUCgUSEhIwduxYpKamYsSIEVi9erX5fo1Gg1tvvRVZWVnYunVrl9kRT2Ft+/jimibctnYvjudVIdjXC188ON5lghGT4cZlG72xQ+u0JAYkRERkGZtkSC4lhDAXpZqCkbNnz2LHjh0IDXWtD1FnsaZ9fG55Axav24e8ikZEBirx6X3jMCgywN5DtNrwGJX5zyNigxAe0LuzXEREZDs9Dkief/55XHvttYiNjUVtbS3Wr1+PtLQ0bN68GVqtFjfffDOOHDmCH374ATqdDkVFRQCAkJAQKBSe26Mi2Lxk03VA8ltRLZas24+SWjXiQn3x6X3jEBvimltpTRkSAJgxmNkRIiKyXI8DkuLiYixZsgSFhYVQqVRISUnB5s2bMWvWLGRnZ+P7778HAIwcObLN43bs2IGpU6f29OXdlqlhWGUX237PFtfi1n/uRXWjBkmRAfjkvisR4QI7ajozKMIf/ko56tRazGD9CBERWaHHAcm6des6vS8+Pt58tgm11TpDIoSARNJ+p8wHe7JR3ajBiBgVPrr3SgT5unZGSS6T4p9LxqC0Vo2h0aruH0BERGRklxoS6l6ocduvWqtHQ7MOfsr2/ytOGduw33/1AJcPRkyuSghz9hCIiMgN8XA9J/HxkkEpN0x/R3UkWp0eZ4pqAbQ0HSMiIuqtGJA4iUQi6bKO5HxpPdRaPfyVcsS5aBErERGRrTAgcaKudtqcKjAs1wzpE+ASnViJiIjsiQGJE3WVITllPC2XxaFEROQJGJA4kblbawfn2Zw0FrQmR7OrLRER9X4MSJwoxLfjbq1CCGQUGjIkw5ghISIiD8CAxIlC/Ayt1csvCUjyKhpR26SFQibFoEh/ZwyNiIjIoRiQOFFn59mYCloTo/zhJeP/IiIi6v34aedELSf+XhqQGAta+3C5hoiIPAMDEicKMW777SxDMrQvC1qJiMgzMCBxouBOtv1yyy8REXkaBiRO1NKHRAO93nAIYVVDM0pq1QCAwVEBThsbERGRIzEgcSJTp1adXqCmydCLJLu8AQAQGajs8MA9IiKi3ogBiRMp5FKEGrMkFysbAQA55fUAgLhQP6eNi4iIyNEYkDjZwHBDn5FzJXUAgKwyQ0DSnwEJERF5EAYkTjYwwhCQnC81BCQ5xiWbuDCe8EtERJ6DAYmTDQw3ZEJMAYkpQxLPDAkREXkQBiROlhDRdsnGVEPCgISIiDwJAxInM9WQZJc1oKK+GZUNht02caFcsiEiIs/BgMTJ+gb5wNtLimadHr+cLQUAhAdwyy8REXkWBiROJpVKMCDMkCXZdroEABDP7AgREXkYBiQuwLTTJu03U0DC+hEiIvIsDEhcQIKxjqSmSQsAiA9jQEJERJ6FAYkLGBjRNgBhQSsREXkaBiQuwLT114RLNkRE5GkYkLiA+FA/SCUt3zNDQkREnoYBiQvw9pIhNsQQhIT5KxDg7eXkERERETkWAxIXYWqQxuUaIiLyRAxIXMQgYx0Jd9gQEZEn6nFAsmbNGqSkpCAwMBCBgYGYMGECNm3aZL5fCIGXXnoJ0dHR8PHxwdSpU3Hq1Kmevmyvs2hcP8wfEY17rop39lCIiIgcrscBSUxMDFauXIlDhw7h0KFDmD59OhYsWGAOOl577TWsWrUK77zzDg4ePIioqCjMmjULtbW1PR58bxIX6oe37hiFodEqZw+FiIjI4SRCCGHrJw0JCcHf/vY33HvvvYiOjsaKFSvwzDPPAADUajUiIyPx17/+FQ899FCHj1er1VCr1ebva2pqEBsbi+rqagQGBtp6uERERGQHNTU1UKlUFn1+27SGRKfTYf369aivr8eECROQlZWFoqIiXHPNNeZrlEolpkyZgj179nT6PKmpqVCpVOav2NhYWw6TiIiIXIxNApL09HT4+/tDqVRi2bJl2LhxI5KTk1FUVAQAiIyMbHN9ZGSk+b6OPPfcc6iurjZ/5eXl2WKYRERE5KJscsZ9UlISjh07hqqqKmzYsAF33XUXdu7cab5fIpG0uV4I0e621pRKJZRKpS2GRkRERG7AJhkShUKBhIQEjB07FqmpqRgxYgRWr16NqKgoAGiXDSkpKWmXNSEiIiLPZZc+JEIIqNVq9O/fH1FRUdi6dav5vubmZuzcuRMTJ060x0sTERGRG+rxks3zzz+Pa6+9FrGxsaitrcX69euRlpaGzZs3QyKRYMWKFXj11VcxaNAgDBo0CK+++ip8fX2xaNEiW4yfiIiIeoEeByTFxcVYsmQJCgsLoVKpkJKSgs2bN2PWrFkAgKeffhqNjY145JFHUFlZiXHjxmHLli0ICAjo8eCJiIiod7BLHxJbs2YfMxEREbkGp/UhISIiIrocDEiIiIjI6RiQEBERkdPZpDGavZnKXGpqapw8EiIiIrKU6XPbknJVtwhITCcD80wbIiIi91NbWwuVquvT7N1il41er0dBQQECAgK6bDnfE6YThfPy8riTx0KcM+txztrjnFiPc2YZzpP1bD1nQgjU1tYiOjoaUmnXVSJukSGRSqWIiYlxyGsFBgbyjWslzpn1OGftcU6sxzmzDOfJeracs+4yIyYsaiUiIiKnY0BCRERETseAxEipVOKPf/wjlEqls4fiNjhn1uOctcc5sR7nzDKcJ+s5c87coqiViIiIejdmSIiIiMjpGJAQERGR0zEgISIiIqdjQEJEREROx4CEiIiInI4BCRGRi+ImyO41NTU5ewhupaSkxGXfV70+ICksLMTevXuRnZ3t7KG4jYqKCpSVlQEwnCNE3eP7rL2LFy/i888/x969e1FVVeXs4biFwsJC3HLLLfjyyy8B8O9fV7KysjBixAi8+uqrzh6KW8jKysL8+fPxzDPPICMjw9nD6VCvDkhWrFiB4cOH4/HHH8fQoUPx7rvvorq62tnDcmkvvPACBg8ejLVr1wJAt4chEd9nlxJC4PHHH0dycjLWrl2LWbNm4fe//z0KCwudPTSXt27dOmzYsAFvvvkmGhoaIJPJGJRcQgiBZcuWITExEYmJiXjsscecPSSXZcqEfPzxxxgzZgx8fHywfPlyhIWFtbnfVfTKT5vc3FzMnz8fBw4cwPfff4+vvvoKy5cvx3vvvYf9+/c7e3guqaqqCvfddx9+/vln9OvXD/v27cPBgwcBuN6b1lXwfdZednY2pk+fjsOHD2PLli346aef8Pe//x0HDx502d/KXMmePXtw2223QalU4rXXXnP2cFzOuXPnEBoait27d+PAgQP4+uuvzR+u1J5EIoFer8f69evx4osv4ssvv8TYsWMREBBgvt+V9MqA5OTJk/D19cXbb7+NiRMnIj4+Hq+99hpKS0uZOm6ldaDh4+ODuLg4PPfcc3jjjTeQn5+PjRs3QqPRQCKRMCgxaj0P6enpfJ+h7ZxotVrccMMNWLduHcaPHw+lUokbbrgBMpkMgwYNcuIoXculf5+0Wi0AoE+fPrjtttswceJEfPXVVzh9+jSkUqlH//1r/bN7eXkhOjoakyZNwqhRo7Bnzx48+eSTePXVV7F582bU1tY6caSu4dL3SlpaGs6dO4ff/e532LNnDxYsWICFCxfi0Ucfxb59+zp8jLP0ioDENJmmv9QjR47EY489hjFjxgAwrMNqNBr07dsXOp3OaeN0JY2NjWhubjZ/r1Ao8Pjjj+OGG27AlClTMG3aNOzatQtbt2514ihdy6VzNmLECI9/n106JzExMbjrrruQlJQEACguLsaiRYug0Wjw5z//Gd99952zhuoyLp0zIQTkcjkA4ODBg0hMTMSNN96IqKgovPfee2hubvbY7NKlcxUbG4s///nPWLt2LebMmYNFixYhJycHX331Fe6//348+uijThyt8106XwDg5+eHiooK/PDDD+al1AkTJiA9PR1z585FUVGR62RKhJt74403xF/+8hfz93q9vs39Op1OCCFEdna28Pf3F8ePH3fo+FzRs88+K0aPHi1mzpwpVq9eLaqrq4UQhrkzzVdOTo6YOHGieOCBB0Rpaan5fk916ZxVVVW1ud8T32edvY9MMjMzhbe3t5gzZ4748MMPxcKFC0ViYqJ45ZVXnDRi5+tsznQ6nbh48aIYP368qK+vF0IIsWrVKhEWFiYkEol46623hFqtdubQHa6zuaqoqBBLly4VV111lTh+/LhoamoSQgixdu1akZSUJN59911nDttpOpuvvXv3ihkzZogrrrhC3H///eZ/x2tqasSwYcPEvffeK4Ro+TfMmdw2IDlw4ICYOnWqkEgkYvTo0WLPnj1CiM4n9YsvvhDDhw93iUl3FrVaLW6++WaRnJws1q9fL5YuXSqSk5PFvHnz2lxnmqM333xTjBkzRnzwwQfm+zwtKLF0zkzz4gnvM0vnRAghjh07Zv6zVqsVTz75pJgwYYJoaGhw5JCdzpI5q6mpEVdffbVoaGgQ33zzjQgJCREqlUqkpKSYr/GEv3+dzdXcuXPN15w+fVocPHiwzS9R5eXl4rrrrhMPPvig0Gq1zhq+w3U2X9dee60QQoj6+nqxcOFCIZFIxNq1a4UQwjw///73v0Xfvn1FbW2t08bfmtsGJC+//LK4+eabxQcffCCuueYacf/995vv6+gv7R/+8Afx0EMPmb/fvn27+P777x0yVleRkZEhBg0aJLZs2WK+bffu3cLHx0e89tpr5nkz/QVvamoSc+fOFbfeeqs4ceKE+PTTT9tkozyBpXNm+q8nvM8snZOOLFiwQMybN080Nzd7xIerSXdzJoQQ27ZtE3369BHDhg0TQUFB4vXXXxf//Oc/xciRI8U//vEPIYRr/BZrb5bM1aVM76WEhATx8MMPO2ScrqKr+UpNTRVCCLFp0yYRGhoqZs2a1eaxzz33nJg6daqor693ib+PbheQmCYtJyfHnBVJTU0V48aNE1999ZUQov1fWq1WK0aNGiW+/PJLceHCBTF9+nShUCjEl19+6djBO9nhw4eFRCIR5eXlQoiWuUxNTRXBwcEiMzPTfK1pDr/99lsxYMAAERoaKhQKhXj99dcdP3AnsmbOPOV9Zs2ctLZ3714xefJk8fnnnztsrK6iqzkLCgoSFy5cEBqNRiQnJ4sHH3xQZGVlCSGEKCgoELfeequYPHmyeWmit7vc99emTZvEFVdcIX799VeHjdUVdDVfKpVKnD9/XgghxEsvvSRCQ0PFiy++KDIzM8WZM2fElClTxJ///Genjf1SbheQdOT8+fPihhtuEDfccIOoqKgQQrQNSo4fPy4CAgLEtddeK+RyubjttttETU2Ns4brNEePHhVDhw4Vb7/9thCi5Y3b3Nws+vfvL5588kkhREs679y5c2Lp0qVCIpGIhx9+WNTV1Tln4E5k6ZwJ4TnvM0vnRKfTiVOnTom0tDSxbNkyERAQIFasWCGam5udNnZn6WrO4uPjxYoVK4QQQhQXF7f7TfXUqVMeE4wIYd37Kz09XWzfvl089NBDQqVSiWeffdajlmuE6H6+TO+toqIisXbtWhEUFCSGDRsmAgICxD333ONS7y2XDUgsTR+Zrlu3bp0YN26cWLVqVbtr/vOf/wiJRCKmT58ujh49asthupWKigpxww03iNtuu00UFBQIIYTQaDRCCENxcHR0dJtA7qmnnhIxMTHixIkTThmvK7BmzjZs2OAR7zNr5uSLL74Q8+bNE9dcc41HFPp2prs569OnT7vMriuk0J3BmvfXRx99JKZNmyamTZvWpl7Jk1j73srPzxf79u0TZ8+edcp4u+KS236rq6vbbJts3anQtLXXxHTdzTffjOTkZPzwww84e/YsAODQoUMAgHHjxmHbtm3Ytm0bRo4caefRO0dJSQlKS0vNW75az59pzoKDg3H99dfjzJkz+OqrrwDAvN1QpVIhODgYeXl55vleuXIl8vLyMHz4cEf+KA5jqznLyckBAEycONHt32e2npMFCxbgnXfewU8//YSUlBRH/igOY4s5CwkJQV5eXpvndZmtmDZk6/fXTTfdhPfffx/bt2/HiBEjHPmjOIQt31vC2B4jOjoa48aNQ0JCgiN/FIu4VECi0WiwfPlyzJ07F3PnzsXLL78MvV4PqVRqnny5XA6NRoOPPvrI/L1er0dgYCBuueUW6PV6/OlPf8KMGTNw5ZVXory8HDExMZg2bZozfzS70Wg0WLZsGSZPnozrr78e8+fPh1qthkwmg0ajAWCYo6amJqxfvx733nsvRo4ciS+//BI7duwwP8/FixcRHh6OuLg4c7v43to23tZz1r9/fwBAVFSU277P7DUnPj4+iI+Pd8aPZHf2+LvXW9nr/eXn54eBAwc65WeyJ3u8t9wiwHV2isZky5YtIiEhQUyZMkVs3LhR3HvvvSIpKUm88MILba5bvXq1CAkJETfddJO5XsQkJydHDBw4UEgkEnH77beLoqIiR/4IDvf111+LgQMHiilTpojt27eLtWvXigEDBohHHnmkzXWmOVuwYIEQwlDrsHjxYqFQKMTDDz8sHnzwQREQECDWrFkjhOjdqWLOWXucE+txzizHubKOJ8+XSwQk1dXV4v777xfLly83F7yp1Wrxxz/+UcyePdvcKOjdd98V/fv3F5999lm7yd22bZvw9/cXI0eOFIcOHXL4z+AMy5cvFy+++KJ5vVAIIe666y7x+9//3vz922+/LeLj48Vnn33WZh1Rr9eLV199VTzwwANi7ty5HlOZzjlrj3NiPc6Z5ThX1vHk+ZII4fwm9pWVlfj+++8xYsQIjBw5EkIISCQSPPvss9i7dy927twJwLBmplar4efn1+45ysvLsWXLFtxxxx2OHr7DmZaxioqKoNFoEBsbCwDIycnBwoULsWjRIkyYMAETJ07scM5M8+tJOGftcU6sxzmzHOfKOpwvwCkBydq1ayGRSJCYmIgpU6YAaDuZOp0OMpkMjzzyCBobG/HBBx90Odm94X9Ed7qbs7fffhuPP/44rrrqKshkMpw4cQK/+93v8Nxzz8Hb29uZQ3cazll7nBPrcc4sx7myDufrEo5Mx3z++eciIiJCTJgwQYwcOVKEh4ebO3+23jtuWo4ZN26c+Ne//tXmNk9j6Zx9+OGHYteuXeZ5+uyzz4SPj4/Izs52yridiXPWHufEepwzy3GurMP56pjDApLPPvtMjBgxQrz33ntCCMNe6Lffflv4+fl12DzqwoULIjw8XJw5c8Z8m6njnKc0vrFkzjqbi9OnTwuZTNamnbAn4Jy1xzmxHufMcpwr63C+Omf3fZ3CuCKk0Wgwbtw4LF26FIBhL/SoUaPQt29fnD59ut3jfvrpJ8TGxiIpKQlHjx7FuHHjMH78eGi1WshkMnsP26msmbPO5uLbb7/FjBkzMGnSJMcM2sk4Z+1xTqzHObMc58o6nC8L2CvSOXz4sKisrDR/X1VV1S7qO3bsmIiKimqzfdeUmvrd734nbr75ZvHEE08IqVQq7rvvPpdqcWsPlztnJjk5OeLcuXPi/vvvF9HR0eLDDz8UQvTu5S7OWXucE+txzizHubIO58tyNg9I/vOf/4iYmBgxcOBA0a9fP/Hiiy+26QfSeovSqlWrxFVXXSWEMGzzbX1NXFyckEgkYurUqeLUqVO2HqZLudw5a30mSGZmpnjyySdFTEyMmDZtmvjtt98c9wM4AeesPc6J9ThnluNcWYfzZT2bBiQHDx4UgwcPFm+++aY4fvy4ePfdd0V4eLh4+OGHzScR6nQ68/7qG2+8USxfvrzd81RVVYnU1FTx008/2XJ4LslWc9bQ0CDS0tLcbt/55eCctcc5sR7nzHKcK+twvi6PTQISU+pozZo1IiYmRlRXV5vve+edd8T48ePFyy+/bL5Np9MJvV4vBg4cKH744QchhBC//fabuP3220Vubq4thuTyOGfW45y1xzmxHufMcpwr63C+esYmRa2mPdNZWVlITEw0H+wDAHfffTfGjBmDTZs24dSpUwAMZ6QcPHgQvr6+GD16NFasWIGUlBSUl5cjPDzcFkNyebacs4iICKf8DI7GOWuPc2I9zpnlOFfW4Xz1zGUFJFu3bsVjjz2G1atX48CBA+bbr7rqKuzZswdFRUUADA3O/Pz8sGDBAkgkEmzZssV87f/+9z+cPHkSSUlJ2Lp1K3799Vds2bKldzZ7gX3nTKlUOvzncQTOWXucE+txzizHubIO58vGrEmnFBQUiOuuu05ERESIxYsXi+HDhwuVSiX2798vhBCisbFRDB48WDz44INCiLZFO1dffXWbw4H+8pe/iPDwcLFhwwZbZHpcFufMepyz9jgn1uOcWY5zZR3Ol31YHJDU19eLu+66S9x2223iwoUL5tuvuOIKcffddwshDM1cPv74YyGVStsV4SxevFhMnTrV/H1JSUlPx+7yOGfW45y1xzmxHufMcpwr63C+7MfiJRtfX18olUrcfffd6N+/P7RaLQDguuuua9PM5dZbb8WCBQtw//33Y+fOnRBCoKioCGfPnsWdd95pfj5PqBXhnFmPc9Ye58R6nDPLca6sw/myI2uil9b7o03VxHfeead44IEH2tzW2Ngopk6dKiIiIsQ111wjoqOjxfjx4z2yaphzZj3OWXucE+txzizHubIO58s+enza7+TJk3Hvvffi7rvvhhACer0eMpkMxcXFOHHiBA4ePIj4+HgsWrTIVjGU2+OcWY9z1h7nxHqcM8txrqzD+bKBnkQz58+fF5GRkeLQoUPm21p3XKX2OGfW45y1xzmxHufMcpwr63C+bOOytv0KY1Jl9+7d8Pf3x5gxYwAAf/rTn/D444+jpKTEdhFTL8E5sx7nrD3OifU4Z5bjXFmH82Vb8u4vac/U/OXAgQO46aabsHXrVjz44INoaGjAJ5984pENXbrDObMe56w9zon1OGeW41xZh/NlY5ebWmlsbBQJCQlCIpEIpVIpVq5caZOUTW/GObMe56w9zon1OGeW41xZh/NlOz0qap01axYGDRqEVatW9doOq7bGObMe56w9zon1OGeW41xZh/NlGz0KSHQ6HWQymS3H0+txzqzHOWuPc2I9zpnlOFfW4XzZRo+3/RIRERH1lE1O+yUiIiLqCQYkRERE5HQMSIiIiMjpGJAQERGR0zEgISIiIqdjQEJEREROx4CEiIiInI4BCRHZxN133w2JRAKJRAIvLy9ERkZi1qxZ+Pe//w29Xm/x83z44YcICgqy30CJyCUxICEim5kzZw4KCwuRnZ2NTZs2Ydq0aXj88cdx3XXXQavVOnt4ROTCGJAQkc0olUpERUWhb9++GD16NJ5//nl899132LRpEz788EMAwKpVqzB8+HD4+fkhNjYWjzzyCOrq6gAAaWlpuOeee1BdXW3Otrz00ksAgObmZjz99NPo27cv/Pz8MG7cOKSlpTnnByUim2NAQkR2NX36dIwYMQLffPMNAEAqleKtt97CyZMn8dFHH2H79u14+umnAQATJ07Em2++icDAQBQWFqKwsBB/+MMfAAD33HMPfv31V6xfvx4nTpzALbfcgjlz5uDs2bNO+9mIyHZ4lg0R2cTdd9+NqqoqfPvtt+3uu/3223HixAlkZGS0u+/rr7/Gww8/jLKyMgCGGpIVK1agqqrKfM358+cxaNAgXLx4EdHR0ebbZ86ciSuvvBKvvvqqzX8eInIsubMHQES9nxACEokEALBjxw68+uqryMjIQE1NDbRaLZqamlBfXw8/P78OH3/kyBEIIZCYmNjmdrVajdDQULuPn4jsjwEJEdnd6dOn0b9/f+Tk5GDu3LlYtmwZXn75ZYSEhGD37t247777oNFoOn28Xq+HTCbD4cOH2x3z7u/vb+/hE5EDMCAhIrvavn070tPT8cQTT+DQoUPQarV44403IJUaSti++uqrNtcrFArodLo2t40aNQo6nQ4lJSW4+uqrHTZ2InIcBiREZDNqtRpFRUXQ6XQoLi7G5s2bkZqaiuuuuw5Lly5Feno6tFot3n77bVx//fX49ddf8d5777V5jvj4eNTV1WHbtm0YMWIEfH19kZiYiMWLF2Pp0qV44403MGrUKJSVlWH79u0YPnw45s6d66SfmIhshbtsiMhmNm/ejD59+iA+Ph5z5szBjh078NZbb+G7776DTCbDyJEjsWrVKvz1r3/FsGHD8NlnnyE1NbXNc0ycOBHLli3DbbfdhvDwcLz22msAgA8++ABLly7Fk08+iaSkJMyfPx/79+9HbGysM35UIrIx7rIhIiIip2OGhIiIiJyOAQkRERE5HQMSIiIicjoGJEREROR0DEiIiIjI6RiQEBERkdMxICEiIiKnY0BCRERETseAhIiIiJyOAQkRERE5HQMSIiIicrr/DzUcYUn9sb0oAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import yfinance as yf\n",
    "\n",
    "Ticker = input(\"Digite o código da ação: \")\n",
    "dados = yf.Ticker(Ticker).history(\"6mo\")\n",
    "fechamento = dados.Close\n",
    "fechamento.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f3c7620",
   "metadata": {},
   "source": [
    "# Passo 2 (Step 2) - Realizar as análises solicitadas pelo gestor (Perform the requested data analysis)\n",
    "- Cotação Máxima (High)\n",
    "- Cotação Mínima (Low)\n",
    "- Cotação Atual  (Current)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "e82a625e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "44.7\n",
      "30.18\n",
      "44.62\n"
     ]
    }
   ],
   "source": [
    "maxima = round(fechamento.max(), 2)\n",
    "minima = round(fechamento.min(), 2)\n",
    "atual = round(fechamento[-1],2)\n",
    "\n",
    "print(maxima)\n",
    "print(minima)\n",
    "print(atual)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c079c98",
   "metadata": {},
   "source": [
    "# Passo 3 (Step 3) - Enviar automaticamente um e-mail com o resultado da análise (Realizar as análises solicitadas pelo gestor (Perform the requested data analysis)\n",
    "\n",
    "- abrir uma nova aba (ctrl + t) (open a new tab)\n",
    "- digitar www.gmail.com e dar um enter (type www.gmail.com e hit enter)\n",
    "- clicar no botão escrever (click on the \"write\" button)\n",
    "- digitar o destinatário (tab) (type the recipient)\n",
    "- digitar o assunto (tab) (type the subject)\n",
    "- preencher o corpo do e-mail (fill in the body with the message)\n",
    "- clicar no botar enviar (click on the \"send\" button)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "d666b058",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pyautogui in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (0.9.54)\n",
      "Requirement already satisfied: pygetwindow>=0.0.5 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyautogui) (0.0.9)\n",
      "Requirement already satisfied: pyscreeze>=0.1.21 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyautogui) (0.1.29)\n",
      "Requirement already satisfied: mouseinfo in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyautogui) (0.1.3)\n",
      "Requirement already satisfied: pytweening>=1.0.4 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyautogui) (1.0.7)\n",
      "Requirement already satisfied: pymsgbox in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyautogui) (1.0.9)\n",
      "Requirement already satisfied: pyrect in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pygetwindow>=0.0.5->pyautogui) (0.2.0)\n",
      "Requirement already satisfied: pyscreenshot in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyscreeze>=0.1.21->pyautogui) (3.1)\n",
      "Requirement already satisfied: Pillow>=9.2.0 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyscreeze>=0.1.21->pyautogui) (9.4.0)\n",
      "Requirement already satisfied: pyperclip in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from mouseinfo->pyautogui) (1.8.2)\n",
      "Requirement already satisfied: mss in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyscreenshot->pyscreeze>=0.1.21->pyautogui) (9.0.1)\n",
      "Requirement already satisfied: entrypoint2 in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyscreenshot->pyscreeze>=0.1.21->pyautogui) (1.1)\n",
      "Requirement already satisfied: EasyProcess in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (from pyscreenshot->pyscreeze>=0.1.21->pyautogui) (1.1)\n"
     ]
    }
   ],
   "source": [
    "!pip install pyautogui"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "c0ed42b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pyperclip in c:\\users\\vitor\\python\\anaconda3\\lib\\site-packages (1.8.2)\n"
     ]
    }
   ],
   "source": [
    "!pip install pyperclip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7f04b903",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyautogui\n",
    "import pyperclip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "be3d2e8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "email enviado com sucesso!\n"
     ]
    }
   ],
   "source": [
    "# dar uma pausa de 5 segundos entre os passos (5 seconds interval between actions)\n",
    "pyautogui.PAUSE = 5\n",
    "\n",
    "# abrir uma nova aba (ctrl +t) digitar www.gmail.com e dar um enter\n",
    "pyautogui.hotkey(\"ctrl\", \"t\")\n",
    "\n",
    "#digitar www.gmail.com e dar um enter (type www.gmail.com e hit enter)\n",
    "pyperclip.copy(\"www.gmail.com\")\n",
    "pyautogui.hotkey(\"ctrl\", \"v\")\n",
    "pyautogui.hotkey(\"enter\")\n",
    "\n",
    "#clicar no botão escrever (click on the \"write\" button)\n",
    "pyautogui.click(x=75, y=212)\n",
    "\n",
    "#digitar o destinatário (tab) (type the recipient)\n",
    "pyperclip.copy(\"josetoffoli@hotmail.com\")\n",
    "pyautogui.hotkey(\"ctrl\", \"v\")\n",
    "pyautogui.hotkey(\"tab\")\n",
    "\n",
    "#digitar o assunto (tab) (type the subject)\n",
    "pyperclip.copy(\"Análises Diárias\")\n",
    "pyautogui.hotkey(\"ctrl\", \"v\")\n",
    "pyautogui.hotkey(\"tab\")\n",
    "\n",
    "#preencher o corpo do e-mail (fill in the body with the message)\n",
    "mensagem = f\"\"\"\n",
    "Prezado Gestor,\n",
    "\n",
    "Seguem, conforme solicitadas, as análises dos últimos seis meses da ação {Ticker}:\n",
    "\n",
    "Cotação máxima: {maxima}\n",
    "Cotação mínima: {minima}\n",
    "Cotação atual: {atual}\n",
    "\n",
    "Qualquer dúvida, fico à disposição para o esclarecimento de quaisquer dúvidas.\n",
    "\n",
    "Atte.\n",
    "Vitor Hugo Toffoli\n",
    "\"\"\"\n",
    "\n",
    "pyperclip.copy(mensagem)\n",
    "pyautogui.hotkey(\"ctrl\", \"v\")\n",
    "\n",
    "#clicar no botar enviar (click on the \"send\" button)\n",
    "pyautogui.click(x=1197, y=991)\n",
    "print(\"email enviado com sucesso!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d2d0f1f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}