W2 - Breast Cancer Diag.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3293e0d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<function load_breast_cancer at 0x14185de18>"
     ]
    }
   ],
   "source": [
    "# plt, grafikleme için içeri alınıyor:\n",
    "mplot = import '/matplotlib'\n",
    "plt = import '/matplotlib/pyplot'\n",
    "\n",
    "# Göğüs Kanseri veriseti, SK'nin içinde, erişeç ile veriyi alabiliyoruz.\n",
    "loadBreastCancer = import '/sklearn/datasets/load_breast_cancer'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1bf8958a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(array([[1.799e+01, 1.038e+01, 1.228e+02, ..., 2.654e-01, 4.601e-01,\n",
      "        1.189e-01],\n",
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      "        8.902e-02],\n",
      "       [1.969e+01, 2.125e+01, 1.300e+02, ..., 2.430e-01, 3.613e-01,\n",
      "        8.758e-02],\n",
      "       ...,\n",
      "       [1.660e+01, 2.808e+01, 1.083e+02, ..., 1.418e-01, 2.218e-01,\n",
      "        7.820e-02],\n",
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    }
   ],
   "source": [
    "#CHN {Örnek basitliği için, veriyi çift (tuple) formatında aldık.\n",
    "#     Bunu da `return_X_y` bayrağını aktif ederek yapıyoruz.}\n",
    "cancerData = loadBreastCancer return_X_y: True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d5fad00e",
   "metadata": {},
   "outputs": [
    {
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6GAAQAAaCEE6ACs1tfnDnYWCv6/LxSk3l53O6AGBQwAAECLIUAHYLVi0c1ElqYG6d6/16xhPXT4oIABAABoMQToAKxXLksbN0rz59c%2BXyq5zzONGL4oYAAAAFoMReIAtIRyWVqyxB3s3LnTnXPe18fIORqggAEAAGgxBOgAWkaxKC1alHcr0DK8AgZjY/7z0AsF9/cUMAAAAJYgxR0A0J4oYAAAAFoMAToAoH1RwAAAALQQUtwBAO2NAgYAAKBFEKADANofBQwAAEALIMUdAAAAAAALEKADAAAAAGABAnQAAAAAACxAgA4AAAAAgAUI0AEAAAAAsAABOgAAAAAAFiBABwAAAADAAgToAAAAAABYgAAdAAAAAAALHJJ3AwAAAHJRqUhbt0o7d0rz5kl9fVKxmHerAAAdjAAdAAB0nuFhaflyaceOg8%2BVStLatVK5nF%2B7AAAdjRR3AADQWYaHpf7%2B2uBcksbG3OeHh/NpFwCg4xGgAwCAzlGpuCPnjjP1d95zAwPudgAANBkBOgAA6Bxbt04dOa/mONL27e52AAA0GQE6AADoHDt3prsdAAApIkAHAACdY968dLcDACBFBOgAAKBz9PW51doLBf/fFwpSb6%2B7HQAATUaADgAAOkex6C6lJk0N0r1/r1nDeugAgFwQoAMAgM5SLksbN0rz59c%2BXyq5z7MOOgAgJ4fk3QAAAICmK5elJUvcau07d7pzzvv6GDkHAOSKAB0AAHSmYlFatCjvVgAAMIkUdwAAAAAALECADgAAAACABQjQAQAAAACwAAE6AAAAAAAWIEAHAAAAAMACBOgAAAAAAFiAAB0AAAAAAAsQoAMAAAAAYAECdAAAAAAALECADgAAAACABQjQAQAAAACwAAE6AAAAAAAWIEAHAAAAAMACBOgAAAAAAFjgkLwbAAAAAB%2BVirR1q7RzpzRvntTXJxWLebcKAJAhAnQAAADbDA9Ly5dLO3YcfK5Uktaulcrl/NoFAMgUKe4AAAA2GR6W%2Bvtrg3NJGhtznx8ezqddAIDMEaADAADYolJxR84dZ%2BrvvOcGBtztAABthwAdAADAFlu3Th05r%2BY40vbt7nYAgLZDgA4AAGCLnTvT3Q4A0FII0AEAAGwxb1662wEAWgpV3AGgTbAiE9AG%2Bvrcau1jY/7z0AsF9/d9fc1vGwAgc4ygA0AbGB6WFiyQFi%2BWzjnH/blgAcWegZZTLLpLqUluMF7N%2B/eaNfS%2BAUCbIkAHgBbX0SsyVSrS6Ki0bp37k8rWaAflsrRxozR/fu3zpZL7POugA0DbKjiOX/4U2tXevXs1c%2BZMjY%2BPa8aMGXk3B0BClYo7Uh5U9NnLht22rQ0H3IaH3eWoqne%2BVHJHHwlg0A6YtwIgY8QG9mEOOgC0sCgrMi1a1LRmZc9LG6jvY/bSBhhlRDsoFtvswgUAhCHFHQBaWEeuyFSpuCPnfglg3nMDA6S7AwCAlkOADgAtrCNXZIqSNgAAANBCCNABoIV5KzLVF3v2FApSb2%2BbrcjUkWkDAACgExCgA0AL68gVmToybQAAAHQCAnQAaHEdtyJTR6YNAACATkAVdwBoA%2BWytGRJh6zI5KUN9Pe7wXh1sbi2TRsAAACdgAAdANpER63I5KUN%2BK2DvmZNG6YNAACATkCADgBoTR2VNgAAADoBAToAoHV1VNoAAABodxSJs8hXv/pVnXDCCZoxY4ZmzJihhQsX6jvf%2Bc7k71944QVdeOGF6u7u1hFHHKGlS5dq165dObYY6FyVijQ6Kq1b5/6sVPJuEQAAAFodAbpFSqWSPv/5z%2BtnP/uZfvrTn%2Bo973mPlixZon//93%2BXJK1YsULf%2Bta3tGHDBm3ZskWPPfaYysyzBJpueFhasEBavFg65xz354IF7vMAAABAXAXHqS5/C9t0dXXpi1/8ovr7%2B9XT06PBwUH19/dLkv7jP/5Dr3/963Xvvffqne98p9Hr7d27VzNnztT4%2BLhmzJiRZdOBtjQ87BYPr//m9IqHt%2BWyZgAAoC0RG9iHEXRLVSoV3XHHHXruuee0cOFC/exnP9Pvf/97nXLKKZPbvO51r9PRRx%2Bte%2B%2B9N8eWAp2jUnGLhvt1a3rPDQyQ7p455hcAAIA2RZE4y9x///1auHChXnjhBR1xxBG666679IY3vEH33Xefpk%2Bfrpe//OU128%2BZM0ePP/544Ovt27dP%2B/btm/z33r17s2o60Pa2bq1d0aue40jbt7vbUbcsI8PD/kurrV1L6gIAAGh5jKBb5rWvfa3uu%2B8%2B/fjHP9bHP/5xfehDH9Kvf/3r2K933XXXaebMmZOP3t7eFFsLdJadO9PdDhF58wvqe0nGxtznKQIAAABaHAG6ZaZPn65Xv/rVetvb3qbrrrtOb37zm7V27VrNnTtXL774op5%2B%2Buma7Xft2qW5c%2BcGvt4VV1yh8fHxycf27dsz3gOgfc2bl%2B52iID5BQAAoAMQoFtuYmJC%2B/bt09ve9jYdeuih2rx58%2BTvHnjgAT366KNauHBh4N8fdthhk8u2eQ8A8fT1udnUXkG4eoWC1NvrboeURZlfAAAA0KKYg26RK664Qu973/t09NFH65lnntHg4KBGR0f1ve99TzNnztRHP/pRXXLJJerq6tKMGTN08cUXa%2BHChcYV3AEkUyy6U537%2B91gvHow1wva16xxt0PKmF8AAAA6AAG6RZ544gn95V/%2BpXbu3KmZM2fqhBNO0Pe%2B9z29973vlSStXr1a06ZN09KlS7Vv3z6deuqpuummm3JuNdBZymV3KTW/OmVr1lCnLDPMLwAAAB2AddA7DGsdAumoVNxs6p073Ziwr4%2BR80xVKtKCBW5BOL//bRUKbi/Jtm18EAAAGCI2sA8j6AAQQ7GYbCk1AvyImF8AAAA6AEXiALSESkUaHZXWrXN/tnKx7uFhdzB48WLpnHPcnwsWsEpYKG9%2Bwfz5tc%2BXSu7zzC9AK2unLzkAQGykuHcY0ljQioaH/ed8r10bHpPZNlLtLeVd/83rDQITZxqw7UMFkkryJQcACRAb2IcAvcNwEaLVJAlobbvn9aZRB60WxjRqoAPRawcgR8QG9iFA7zBchGglSQJaG%2B95R0fddPYwIyPJ5rcDaBH02gHIGbGBfZiDDsBaW7cG37dKbvC9fbu7XbVKxR059%2Bt%2B9J4bGGj%2BFE%2BW8gZQI%2B6XHACgbRGgA7BW3IDW1ntelvIGUINeOwBAHQJ0ANaKG9Daes/b1%2Bdmq3pp9vUKBam3190OQAeg1w4AUIcAHYC14ga0tt7zekt5S1P3iaW8gQ5Erx0AoA4BOgBrxQ1obb7nDVrKe/586eqrpX37WAIZ6Bj02gEA6hCgA7BaUEBbKgVXYrf9nrdclh55xK3WPjgorVrlPr9ypXTOOW6l9wUL3Er0ANpcnC85AEDbYpm1DsNSCmhVlYpb1G3nTjc1va8vPMD2Wwe9t9cNzm2557VxOTgAOYjzJQcACREb2IcAvcNwEaLT2HzPyxLIQM5s/oIAgCYgNrDPIXk3AACyVCxKixbl3Qp/UZaDs3UfgJbll2JTKrnzY0hbAQDkhDnoAJATW5eDA9qeN7ekvodsbMx9ngIQAICcEKADQE5sXQ4OaGuVijty7jfDz3tuYIClFAAAuSBAB4Cc2LwcHNC2oswtAQCgyQjQASAnti8HB7Ql5pYAACxGgA4AOWIJZKDJmFsCALAYy6x1GJZSAOzEak9Ak3jrG46N%2Bc9DZ31DAB2E2MA%2BLLMGABaweTk4oK14c0v6%2B91gvDpIZ24JACBnpLgDAIDOwtwSAIClGEEHgDqkmwMdoFyWlixJ92LnywMAkBABOtAhuG80MzzsLpFcvQpTqeRmxLbKoBqfNWAozbkl7fDlAQDIHSnuQAcYHnZrIi1eLJ1zjvtzwQL3eRw0POxOS61fInnHDmnp0tY4XnzWQA6CvjzGxtznuQABAIao4t5hqNTYebz7xvor3auFxHRLl1fYuf7%2Bulp3t7RrV/6j0UEj5HzWLYQ0h/YR9uVBVXgAFiM2sA8j6EAbq1TcjEu/bjjvuYEBd7tOt3Vr4%2BBckvbskT73uea0J0jQCPnGjXzWLcPmNIdKRRodldatc39ywoQL%2B/JwHGn7dnc7AABCEKADbYz7RnM7d5ptd%2BON%2BcUsjbJozzyTz7ol2JwKbXPHgc1MvzxMtwMAdDQCdKCNcd9obt48s%2B327MknyDXJhjDBZ50jm1NabO44sJ3pl4fpdgCAjkaADrSwsGxU7hvN9fVJXV1m2%2BYR5Jqk4JtI87MmGzoiW1NabO44aAV9fe4cc6/YQ71CQertdbcDACAEATrQokyyUblvNFcsujGKiTw6NJJ2CqT9WZMNHYOtKS22dhy0imLRXUpNmvpl6/17zRr/AnH0cgEA6hCgAy3INBs1yX1jJ7rySrdSe5A8OzSidApk/VmTDR2TrSkttnYctJJy2a3UOH9%2B7fOlUvDyCfRyAQB8EKADLSZqNmqc%2B8ZOVSxKX/%2B6f8ZB3h0aptkQ69dn%2B1mTDZ2ArSkttnYctJpyWXrkEWlkRBocdH9u2xYcnNPLBQDwwTroHYa1Dlvf6Kg70BJmZERatOjgv1l22dzwsBuEVt879/a6wXmeHRrePb1UGyDXr3Oe5Wcd9/zDAaYfYjN563iPjfn3vLCOd7pYNx2ARYgN7HNI3g0AEE3cbNRiMZ2AqRMC/XJZWrLEvv30siHqOw9KpdrOg7Q%2Baz9kQydk%2BiE2kzcXpr/fDQ79Og6YC5OeKHP%2B6eUCgI5DgA60mDyzUf1Glksl996%2B3VLlswxyk8i78yDW%2BdcJvTpR5P0hBrXJto6DdkUvFwCgAVLcOwxpLK0vr2xULzO3/j3zzMxF80U%2B/zqpV6cd0JmSPeaJALAIsYF9CNA7DBdhe2j2NFamTKKa8flHrw4wFXP%2BAViE2MA%2BVHEHWlCzK7OzTDKqGZ1/lHsH/LH%2BJQCgAeagAy2qmdNYmTKJeqHnH4WwgGDM%2BQcABCBAB1pYswqZsUwy/DQ8/%2BjVARqzsVggACB3BOgAQvX1uQM7YVMm%2B/qa3zZYil4dIJyty0UAAHLDHHQAoZgyici8Xp36E8ZTKEi9vfTqAAAAVCFAB2Ck2YXpYI9KxV0Zat0696dRXTd6dbIV60MBAAC2Y5m1DsNSCkjKlmWSbWlHu0u8jLnfC/T2UggrCdaWbz18YQGwFLGBfQjQOwwXIdoB8UlzpLaMOcFJelhbvvXwhQXAYsQG9iFA7zBchGh1xCfNUalICxYEr5TmFQbctm1qrE08npEkHwrywReWHfhSAgIRG9iHOegAWkal4g5E%2BXUres8NDDAdNw1RljGvNjzsxpCLF0vnnOP%2BXLDAfR4Jxf1QkA%2B%2BsOzAlxKAFkOADqBlWBmftGmxrjjLmHuDhfWf0diY%2Bzz3wwmxtnxrsfILq8PwpQSgBRGgA2gZ1sUnbTwyE3UZcwYLm4C15VtHpSJt3my2LR0q2eBLCUCLIkAH0DKsik/afGQm6jLmDBY2AWvLtwav4%2B7aa822p0MlG3wpAWhRBOgAWoY18UkHjMxEXcbcuuyGdsTa8vYL6rjzQ4dKtvhSAtCiCNABtAxr4pMOGZkpl90i0/Pn1z5fKk0tPm1VdkM7i/KhoLkaddzVo0Mle6ZfNrNnZ9sOAIiIAD0F%2B/fv16ZNm/S1r31NzzzzjCTpscce07PPPptzy4D2Y0V80kEjM%2BWy9Mgj0siINDjo/ty2bepxtia7oROYfiidJu%2BCjWEdd9XoUMle2JeS50MfavkpSQDayyF5N6DV/eY3v9Fpp52mRx99VPv27dN73/teHXnkkfq7v/s77du3TzfffHPeTQTaTrksLVmS47K2HTZcXCxKixaFb7N2rZvdWyjUDiIyWJgBkw%2BlkwwPu6PX1QFyqeSelM0Kgk075K66Srr66mwuBtb7PqjRl1K1xx5zt6HDBIAlGEFPaPny5frDP/xD/fa3v9VLX/rSyefPOOMMbTat4AogMi8%2BWbbM/dnUe1CGi31Zkd2AzmNLwUbTDrmTT87mC6uNV5WILehLqVqb1A0B0D4KjmMyWQpBuru7dc899%2Bi1r32tjjzySP3iF7/Qq171Kj3yyCN6wxveoOeffz7vJtbYu3evZs6cqfHxcc2YMSPv5gCtywsKJP/h4g6OSBnEQ9NUKm4Q2ii1vLtbuvPO7HvyvLaMjfmP1hYKbm/Vtm3pt8P7Pqp/X76PXJs3S6ecEr7dyAiZKeg4xAb2YQQ9oYmJCVV8elx37NihI488MocWAWgKhosD5ZrdgM5iMu97zx43OMt6NDmvKpYdsKpEYk88YbZdG9QNAdD6CNAT%2BpM/%2BROtWbNm8t%2BFQkHPPvusVq5cqfe///35NQxA9ijWBeQrSkDVjJT3PDruOmRViUQ6rG4IgNZGintC27dv12mnnSbHcfTggw/qD//wD/Xggw9q1qxZ%2BsEPfqDZli3fQRoLAKBtjI66c61NZZlmXq2Z8zzWrXPnnIcZHHTTWjpRntMP0Jo6aK4WsYF9qOKeUG9vr37xi1/ozjvv1C9%2B8Qs9%2B%2Byz%2BuhHP6oPfOADNUXjAABAynbvdm%2BaTdO3q0eTs5xr3Mwq%2B4wOh2OZCURhw6oQ6GiMoCfw%2B9//Xq973ev07W9/W69//evzbo4ReskAAG0hqDCaiXYaTWZ02Jxf4NXb6wbnBF6QOrLgIrGBfZiDnsChhx6qF154Ie9mAADQWRoVRjPRTqPJeRWna0XUDUEjFFyEJQjQE7rwwgv1d3/3d9q/f3/eTQEAoDOYVG/3Uyi4I6Z9fem3KU%2BsKmGOZSYQhIKLsARz0BP6yU9%2Bos2bN%2Bv//J//oze96U162cteVvP74SyrxQIA0IniLIfV7qPJ5bK0ZEnHFLYCUmf6vcJyfMgYAXpCL3/5y7V06dK8mwEAQOeIk6JeKrX/XONmFqcD2g0FF2EJisR1GApBAABanklhtPnzpVtvlZ54gtFkAOE6tOAisYF9mIMOAABai0lhtLVrpZNPZq4xADMUXIQlSHFP6JhjjlGh/iKu8p//%2BZ9NbA0AAB3CK4zmt15xu6eyA8gG3yuwAAF6QgMDAzX//v3vf6%2Bf//zn%2Bu53v6vLLrssn0YBQDuqVCiAhVoURgOQNr5XkDMC9ISWL1/u%2B/xXvvIV/fSnP21yawCgTQ0P%2B49orF3LiEanozAagLTxvYIcMQc9I%2B973/s0NDSUdzMAoPUND0v9/VPXpx0bc59nOUsAANAmCNAzsnHjRnV1deXdDABobZWKO3LuV1HXe25gwN0OAACgxZHintBb3/rWmiJxjuPo8ccf1%2B7du3XTTTfl2DIAaANbt04dOa/mONL27e52pCP6Y%2B4%2BAAAtgwA9oSVLltQE6NOmTVNPT48WLVqk173udTm2DNyTAm1g5850t%2Bs0zN0HAKClEKAndPXVV%2BfdBPjYsEH6xCekJ588%2BBz3pIB9QjvS5s0zeyHT7dpd9QF98EFp5cqp23hz9zdu5AsRAADLFBzHb2IfTBWLRe3cuVOzZ8%2BueX7Pnj2aPXu2KpbNi9y7d69mzpyp8fFxzZgxI%2B/mZOLyy6UvftH/d4UC96SALYwGdysVacECN6j0%2B99VoeD%2B0bZtpMj4HdAgHDcAgDojNmg1FIlLKKh/Y9%2B%2BfZo%2BfXqTW4ONG4ODc8m9v6eeFJA/48LsxaIbsUtuUFnN%2B/eaNQSZQQc0SPXcfQAAYA1S3GO68cYbJUmFQkHf/OY3dcQRR0z%2BrlKp6Ac/%2BAFz0JusUnHT2sNQTwrIV1hh9kLB7UhbsuRA3F0uu71vfsPta9YcHG7v1MITjQ5oGObuAwBgFQL0mFavXi3JHUG/%2BeabVay6CZw%2BfboWLFigm2%2B%2BOa/mdaStW6Xdu8225Z60eTo1ZspSqx/TWIXZy2U3Yg/a8U4uhhZ2QBth7j4AAFYhQI9p27ZtkqTFixdreHhYr3jFK3JuEaIE3dyTNkcnx0xZaYdjGqkwu0lvhJfeXT%2BC3CnF0OL0OHpz0Pv60m8PAACIjTnoCX3nO98JDM53MkzbVKZBd08P96TNYDzHGL4qFWl0VFq3zv1ZqbTPMTUuzP7gD9wCcYsXS%2Bec4/5csKB2R8Py5aX2LzwRtcfRxrn7fie8DWxtFwCgbVHFPaE3vOENGhwc1Fve8paa54eGhnTBBRdot2nOdZO0c6VGr9hzWKbn%2BvXSmWc2pUkdK%2ByzoIB0Y0Gj5L/7nbRnj//ftNIxNSrM3vW8tu2ZoaIqU38pHRwVHx11A/cwIyPtW3gi7IDW6%2B2tnbufN1vTQmxtl9T681wAWKOdY4NWxQh6QosWLdI73/lO/d3f/Z0k6bnnntN5552nD37wg/rMZz6Tc%2Bs6i1fsub7Qc7XLLiM4b4Yoc4xRK2iUfMeO4OBcaq1jGl6Y3dEaLZ8anEtTR8Uj5cu3qbADWihIq1ZJg4NuR8W2bfkHmB5b0kLqR8o3bLCjXX6Gh8MzSwAALYsAPaGbbrpJQ0NDWrNmjfr6%2BvTmN79Z9913n/71X/9VK1asiPRa1113nd7%2B9rfryCOP1OzZs3X66afrgQceqNlm0aJFKhQKNY8LLrggzV1qaV6x51Kp9vmeHvd%2B6wtfyKddnYaYKZ4kxbg9gcc0h1TdRm/pXavz59f%2BTakkbbz631Xe883gF67ujTDOl2/zwhMND%2BhG6bOflZYtc7MIbBlptWV6gl/Au2xZ/u3yY0uHBgAgM6S4p2BiYkIXX3yxvvrVr%2BqQQw7Rt771LZ166qmRX%2Be0007T2Wefrbe//e3av3%2B/PvOZz%2BhXv/qVfv3rX%2BtlL3uZJDdAf81rXqNrrrlm8u8OP/xw45SUTkljIfsvX2Qdx2N63BrxPaY5pOqavqXvtbp%2BnRsohRkclM46yyBfvkVy/9PQSl9%2BNnxRBBUYNNHsLzDmDiENrfQdgabolNiglVDFPaGHH35Y55xzjh5//HF973vf05YtW/Tnf/7nWr58uT73uc/p0EMPNX6t7373uzX/vvXWWzV79mz97Gc/00knnTT5/OGHH665c%2Bemtg/tqFgk8MtTX597nxgWM9lYrC/Pe5ckGQWBxzSHCudR3tL3Wo0yKu6ld/f3uweh%2Bk1tLIaWtVb68ss71SZpykqzU4BirU8IVLG5rgKASaS4J/SWt7xFxxxzjH7xi1/ove99r6699lqNjIxoeHhYf/RHf5TotcfHxyVJXV1dNc/ffvvtmjVrlo4//nhdccUVev755wNfY9%2B%2Bfdq7d2/NA8ha%2BBxjO2OmvKd2xs3CDjymOaQQp/KWXg9PUEGJQsEtdOb1RoSld3Pjaac0pifUz6N48UXzqRxJ1o8Pa1cW8u7QQGtjegTQOhwk8j/%2Bx//wfX7v3r3ORz7ykdivW6lUnD/90z913vWud9U8/7Wvfc357ne/6/zyl790brvtNmf%2B/PnOGWecEfg6K1eudCRNeYyPj8duG2BqaMhxSiXHcUMz99Hb6z5vm6EhxykUatsquc8VCs1p8/797vHya4fXlu5ux5k/3/CYjoz4v1D9Y2QktX1I7S29D6T%2BYDT6QPbvd194cND9uX9/avuFDJic8L29wZ%2Bj3xdMsVj771Ip%2BOIdHDQ7WaO2Kys5XM9oE961Zts5DSuMj48TG1iGOegpefHFF7Vt2zYde%2ByxOuSQ5DMHPv7xj%2Bs73/mOfvjDH6pUX/Gsyve//32dfPLJeuihh3TsscdO%2Bf2%2Bffu0b9%2B%2ByX/v3btXvb29zDNB07TCdDebpnZ6gxySf7b2xo3SkiWGx3RdhLncy5Ylbnvqb%2BmXjmnbEmGtxMaL0eSE9/usTeeON3qdOEUfwtqVJaP1CZmDDh821HuAtZiDbh9S3BP63e9%2Bp49%2B9KM6/PDD9cY3vlGPPvqoJOniiy%2BeXHotqosuukjf/va3NTIy0jA4l6R3vOMdkqSHHnrI9/eHHXaYZsyYUfMAmsmbEmtbAelqNi0LZ5KtbXxMc6hwnupblsvSI4%2B4N402LhHWSvKevxEkzvSEKHPHG82rCJtKIU29uPKcNtGqc4eQP6ZHAC2FAD2hv/mbv9EvfvELjY6O6iUvecnk86eccoruuOOOSK/lOI4uuugi3XXXXfr%2B97%2BvY445JvRv7rvvPknSvHZfQgjIkG33LqnFpX19Und34226u1Ot1hd1%2BnioVujhsZ3tc0%2BjnvBR544H9bCZrB9/xx12dRBRbwFxsBwl0FKo4p7QP//zP%2BvOO%2B/UO9/5ThWq/gf/xje%2BUQ8//HCk17rwwgs1ODiou%2B%2B%2BW0ceeaQef/xxSdLMmTP10pe%2BVA8//LAGBwf1/ve/X93d3frlL3%2BpFStW6KSTTtIJJ5yQ6n61CxszOmEfG%2B9dWqkYdzWKqlsmrGpfoeCOLi9Zku%2BHEuWEj9tT5vd3XsDrV9na1qkU5XKEeS6AWntpFaADEaAntHv3bs2ePXvK888991xNwG7iq1/9qiR3rfNqt9xyi8477zxNnz5dmzZt0po1a/Tcc8%2Bpt7dXS5cu1VVXXRW7/e2M1URg2kHTtvcuW7dKe/Y03mbPHnd%2BYrGY2s1%2BK8Y8LS/oZE9raS6bejsffDDe3wX1sLViwNuqPXjIBz2nQEshQE/oD//wD/W//tf/0sUXXyxJk0H5N7/5TS1cuDDSa4XV6%2Bvt7dWWLVviNbTD5LD0Myzj10Eza5Z07rnuvXj1/Xfb3ruYjjSedZb01FMH/51CT1Yrxjwtq1FvZFWR0IYanSs29XZWKtI3vhHtb0x62Ah40e7oOQVaBlXcY3rPe96j4eFh/epXv9L73vc%2BnXvuubr11lv113/91/r1r3%2Bte%2B65R1u2bNHb3va2vJtaoxMqNdpUkRv5MCnw7BdftF3R8DhVqqV8K1UjmqCT3fsMr75aWrky/HWCqjeHvX6zz5Go5zTnMlDLpmwYWKETYoNWQ4Ae07Rp0/T4449r9uzZevjhh/X5z39ev/jFL/Tss8/qD/7gD/TpT39ab3rTm/Ju5hSdcBGymkhnC%2Bug8QTdt7fVvUvYskyN0JNlP5PeSK%2BYWJyluWzs7TRdx8/T0j1sAJC9TogNWg0p7ik49thj9Y2oKXfIjG0VudFcpgWeg%2BpjtVWma6Pc/TCmc5ORH5P55Tt2SKtWuSPpUedvpDV/PU2mlRqvuko6%2BeQW72FD07VVDy2AVkWAnsCvf/3ryUrrQaiu3nw2VuRGrSzvgaJ0vHREDBo077Crq3beeRB6suxl%2Btkcd1y8uac29naaVnS8%2BmoCK0RjU60FAB2NAD2Bk08%2BuWFht0KhoEql0sQWQWrjitxtIut7oDgdL20fg/pVbKtUpFNOCf9berLsFaU3ctGi6FX7bOztbNuKjsgVlWUBWIQ56DFNmzZN//qv/6qenp6G273yla9sUovMdMo8E%2B//tZL//Rv/r81HM%2BpNxZl23ZH1CMIOFHPQ7Zf1Z2jzOdJ2FR2RGxtrLQBN1CmxQSshQI%2BpukhcK%2Bmki5D7N7s08x7IpIp72u/ZkujJan1Zf4Y2nyPMF0YaqCyLDtdJsUGrmJZ3A4CslMvSI4%2B4/08dHHR/bttGvJGXKPWmkvKmXZdKwdtklg1bqbg3fOvWuT9tnubiHSiv0renVMos8Gqlw9MSsv4MczhHjHkVHZctc38SnCMOG2stAOhozEGP6d3vfremT5%2BedzMQoq0qcre4Zt8DVU%2B7vvtu6fbbpd27D/4%2BrD5WLAET7Cs3rNXWnrKdA31%2B89MzamAuNZjijLLaPDLr17asP8MmniNtwebzB1PZWGsBQEcjxb3DkMaCvDQrizDo3jjze%2BaAvPphlbVca7RDvZPPdWJh4Mb1BxxtvPrfVT7u/nQ/nDg9AjZXcra5bXDxGbUem2stAE1AbGAfAvQOw0WIvDTjHii3e%2BOACfbDOkP92ih3dw/OKCoceGbjhgmV%2B9v/hi%2B0/oAmVNIObdMxKmoinQ8tTkXCZlQxjMvmtsE9yT/3OWnlyqm/4zOyn821FoCMERvYhwC9w3ARIk9Z3gPlGr/4pAdUNE0L9Ih2aL78yn0UNKFScae2rfuxime24I1fhJQE4%2BwJLdIibUn%2BocWpSGhzJWeb2wb/nsF6fEb2o7IsOhSxgX0oEgegabKqN1WpuPdVft2N3nMDAxkWJPOZOL9VfQfS2v2/Zh1N0/bKfG0968vujWEOJgu23T6h0TX3qXL7HWaV24aH3YBx8WLpnHPcnwsWBO6Hcf0BHZjjmfRDi1ORsJlVDKOyuW2dzusZbPT5SHxGrYDKsgAsQZE4AE2VRb2pKPFLJkUDfYoHTQabIXZqnhuILlnS1JG12sGiaZLeopK6tVbLVS59MDjFPChVYWzMfd6np8W4BpOqIvkkH1qcioQ2V3K2uW2drFHPYBA%2BI7tRWRaABQjQE6pUKrr11lu1efNmPfHEE5qYmKj5/fe///2cWgbYK%2B17oNzjl74%2BNw2gaoJ9TbDZwDw9lnHvwVQHY2xHUmHy%2BTHNV782auOOM1X2C7bDUhUKBd/OBp/DU8Obg94nn9HFOB9anKrMNldytrltnSysZ9APnxEAIAQp7gktX75cy5cvV6VS0fHHH683v/nNNQ8A2cs9fikW3RFnaXL%2BdJ%2B2qqTtKmjC908KmlCvHj0YlDZpZO1gjF0bnEtu2r0kDWi1Ks60qSnmMVOtfQ7PJO/4rNGAWyCuXpwPzesRqH%2BzyTctuHNL%2B/qS/U2z2Ny2ThblmuUzAgAYYgQ9oTvuuEPr16/X%2B9///rybAnSs0BHaA/WZMr039ibYH8gbL2pCa7Vc/dqogiYmg18pICht0sjawRjbP9hzNE3bdbS26o%2B1aPuW2pH9BKkKdYdnUkk7tEYDKuuu2j9I8qF5PQL9/e7r%2BFUkXLOmdkpBnL9pFpvb1smiXrNpf0astw4AbYkR9ISmT5%2BuV7/61Xk3A%2BhoDUdomxm/1BUZKo98UhvvrGh%2B8fGazUraoY3qd4PSJo%2BsRS7YVv0HCVMVptRgWvUDbdOrVC78c%2B2GaXxocSoSZlXFMA02t61VTFZFXGdWDDFMWGaDJ4vPKGKhRgBA62CZtYSuv/56/ed//qf%2B/u//XoWw/0lbgKUU0M5sXSWnsmFYW8/6snZqnubpMfVpqztynsMau5GXPBsZOTiCnsVi9ll/aHFGGW0embS5bTbzO89KpeBiiFFe12/tSM%2BqVdKVV6b7GeW6piSAdkNsYB8C9ITOOOMMjYyMqKurS2984xt16KGH1vx%2B2LLebC5CtDtr4xdLeg8OxtiOHGdqp6JXsG2bXqVi71FTg%2B0sFrO39kNDW8g6oG3mte1dwEG1IFhvHUBExAb2IUBP6MMf/nDD399yyy1NaokZLkIgR5YEopMxtuPIqZqL7s2N36gzVS7cFRy4WNLZgIQsOR8z1ayAtlnH0jgFZoTlwgAYITawDwF6h%2BEiBCAFxNh61C3Y1vvT8GC73VLH02b7vmaV8m2bdgto161z55yHGRyUli3Lvj0AWh6xgX2o4g4AHaI%2BZnz4Yemee6SdYxOat/uX6uv5DxXnf9IsmIy6mL1pQGhzYGvaNtuD36CU77Ex9/l2msNsWhVxaMj9adP55if3NSUBAFljBD0FGzdu1Pr16/Xoo4/qxRdfrPndv/3bv%2BXUKn/0kgGdKdeY0XQOcLMbGaUzwLRtthfw6rQ5zKYj6B6bOlL8ZFGoEUBHIzawD8usJXTjjTfqwx/%2BsObMmaOf//zn%2BqM/%2BiN1d3frP//zP/W%2B970v7%2BYBwGTMWB%2BTeQOmsWtZmixbVam4ga1fMOE9NzAgbdiQUSMDRFmmyvQAmu5r0uW9kti6NTg4l9x2bt/ubtcOTJdC82R1vqXFmjUlAQBZIUBP6KabbtLXv/51ffnLX9b06dN1%2BeWX61/%2B5V/0yU9%2BUuPj43k3D2iqtJcZRnKZxYymAa5pQPiJTzQvsI3SYxHlANoW/PpdkKYp36bb2a5RQOvHlo6URsplNxNj/vza57NYbx0A0HQE6Ak9%2BuijOvHEEyVJL33pS/XMM89Ikj74wQ9q3bp1eTYNaKooA5JonkxixigBrmmg9%2BSTKTcyQNQeiygH0KbgN%2BiCfPBBs79vpznMQQFtkLTPtyx6Lctl6ZFH3OJ2g4Puz23bDgbn9JYCQMsiQE9o7ty5euqppyRJRx99tH70ox9JkrZt2yam96NTZJZCjcRSjxmjBrhpBnppBLZReyyiHEBbCng1uiBXrpS6u4NHkwsFd8m8vr5s29hs1QHtRReZ/U3S8y3rXkuvUOOyZe5PL62d3lIAaGkE6Am95z3v0f/8n/9Tkrsm%2BooVK/Te975Xf/EXf6Ezzjgj59YB2WuFabedLPWYMWqAGzYHuFCQenpSbmQDpkHX5s3uSRvlAJrsa9bBb9gFWd22TpvD7AW0S5eabZ/kfMur15LeUgBoeQToCX3961/XlVdeKUm68MIL9Q//8A96/etfr2uuuUZf/epXc24dkD3bpt2iVuoxY9QheZOiVjfd1LzA1jTouvZad9TxySfN22ZDAS%2BTC3LPHunqqzt3DnPWHSl59VrSWwoAbYEAPaFp06bpkEMOLid/9tln68Ybb9TFF1%2Bs6dOn59gyoDlsmnaLqVKPGeMMyYcVtervb15gG6Wq99iYdNZZbgqxadvyLuBleqEdd1zjOcztLOuOlLx6LektBYC2QICegq1bt%2Brcc8/VwoULNTY2Jkn6p3/6J/3whz/MuWVA9myZdotgqcaMcUcfw4papdnIRgWyolT19kYd77hDuvNO87aF7WuWolyQQXOYO0GWHSl59VrSWwoAbeGQ8E3QyNDQkD74wQ/qAx/4gH7%2B859r3759kqTx8XH9t//23/S///f/zrmFQLa8eG1szD%2BzslBwf99qNae8VbO82l9eBnOrKpelJUtS2CcvwO3vdz/c6g89ZPSxoqK2apF2SponqU9SzVZpNHJ42E3zrR5JLJXcNtd3BtRv58cbdezpcYNu07Z5wW%2BztesFmYXULoo6efVa0lsKAO3BQSJvectbnH/8x390HMdxjjjiCOfhhx92HMdx/u3f/s2ZM2dOnk3zNT4%2B7khyxsfH824K2sjQkOMUCu7DjQrch/fc0FDeLYxmaMhxSqXafSmVWm8/MuV3kHp7Aw9SU46pdyJWv0mjE3H/fse56qqp2/s9BgdTbGjG2u2CbDX797snt9%2B56H0Ovb3udu3wvgBaGrGBfUhxT%2BiBBx7QSSedNOX5mTNn6umnn25%2Bg4Ac5D3tNk0dUwQ56TrJEdK4m3JM4xTIKhalk082e/1WGnVspwuyFeVVLNCGIoUAgMQI0BOaO3euHnrooSnP//CHP9SrXvWqHFoE5CPPabdpsbkIctJ4ukZa6yQXi25K8Lx5borw1q1TGhbrmMbZ2bgFsmxYGi0L7XBBtrK8OknonAGAlscc9ITOP/98LV%2B%2BXP/wD/%2BgQqGgxx57TPfee68uvfRS/e3f/m3ezQOaKq9pt2mJEuMl3s8Ik9xNplUb84az6yNmbzg7yk28QcMiH9O4Oxu3QFaCOfXWa/ULMg6bikdkNcfd1vcFAKSCAD2hv/mbv9HExIROPvlkPf/88zrppJN02GGH6dJLL9XFF1%2Bcd/OAltfM%2B23TGG9szB3Yjd2mCEFomvF06HB2oeAOZy9ZEr5Dhg2LFDcn2dnZs83eyC9VPahoXKnkBueMOraGVHuyUpJXJ0knds4AQJsoOI7fnRqievHFF/XQQw/p2Wef1Rve8AYdccQReTfJ1969ezVz5kyNj49rxowZeTcHaKjZ99ujo262d5ieHmn37phtCgpCvdHaqiC0UnEzz4NGoL2C3Nu2GXYQmO7gyEjjm/sIDRvdWjR7y00VLTrP7DWn7KzfiRLl7z02jb4imgjXFQJw/gMdidjAPsxBT8n06dP1hje8QX/0R39kbXAOtJI8irWFTUf2VAfnkdoUNoLtOO7vD8y5jjutOlBa6yRHaJjxFG/F3NmgE6X%2BTaTwVPVOXhe8ldlcPKJVpFWXAgCQGCnuMX3kIx8x2u4f/uEfMm4J0H7SzMSOotF05EaM2xQW2Eru7z/3Oemzn00UT/sOhqW1TnKEhhlP8X4ixs42OlGqzZ%2Bfb5ozstXU4hFtKCj7YMcOaelSacMG9/cAgKZgBD2mW2%2B9VSMjI3r66af129/%2BNvABILrUR44jCCqC3NPT%2BO%2B8No2ONtjINLBduVKVDcPatcts8/p4OnAw7EmDFIFiUXryyWhvGLKdUWHpOJ0HJh0eknTrrQTn7SytzJBOZNLJdfbZbpAOAGgKRtBj%2BvjHP65169Zp27Zt%2BvCHP6xzzz1XXV1deTcLaAt532/7FUEeG5POPTf8b886S/rGNwLiQcMgdFhnaPmyd2pHSEauN626egWwhnXWzipq46UbVP7SicEvWqm4O9Fozq6Xtz425n9j79Ow0MLSMV7T%2BAR44gmz7dCa0soMCdLOc7NNOrm874ShITq6AKAJGEGP6Stf%2BYp27typyy%2B/XN/61rfU29urs846S9/73vdE3T0gmazvt03UT0euH/0N8tRTDeaje0FoA8M6Q/3aqB2VuQ2385tWbTQV9453qrLuzvAAo9GcXS9vPei7znF853s3nOLtvWb1zkmqaJpGtUjrnLM1%2Ble3qaKqP7LhRLFRnHXkW1mWa9k3c252Hp9blF5O5vEDQFMQoCdw2GGHadmyZfqXf/kX/frXv9Yb3/hGfeITn9CCBQv07LPP5t08oGVleb%2BdVZvq%2Bd7LVgehPiqapuVaKzfsbfz1XJMefoDx1ICdxzW%2B0c5yDkEjdbnwwzpDC/SIFmtE52hQi1eeVBsb2Xii5MUL7laskObO7axiXwGdOzX/jrOWfTMrVeZVpC1K51Ue3wlp67TOKwAtiQA9JdOmTVOhUJDjOKrwhQ8kktX9dlptCtMwvi2XpVWrfP9uq/q0Q70K%2B2pevdpdLaw%2B29R4asDDzxtuGPCC3lB9EK9iXpzvwnJZeuQRDa%2B6X/0a0g7VZhyMjTnqX%2BpoeMVW9wCvXn3wPevbIDX/RMlDdXC3Zs3UGgJZLn1gC6NCBxE0szJ8HktWeAyyemq08jx%2BKtUDaBEE6Ans27dP69at03vf%2B1695jWv0f3336%2B///u/16OPPspSa8hMOwwAmOxD2vfbafDaZFpuIvBe9sorfW%2BKd8psNGvOHP%2BY0zjj%2B9jDDTcMeMGMq/hVVNTybxwvRwVJtYG34xQkORpY80pVFp/sjhhfeqldJ0ozmSwz18pLjUX5wjvQuaOREWlw0P3p15NlolmVKvNeIi5Kz6PUutNF8uwEAYCoHMTy8Y9/3HnFK17hnHDCCc6aNWuc3bt3590kI%2BPj444kZ3x8PO%2BmIIahIccplbwFs91HqeQ%2B3yqi7sP%2B/Y4zMuI4g4Puz/37m9laf5s21bY/6DEy0uBFhoYcp1BwHwf%2BYETvTvS6%2B/e7x7LqJWsehYLj9PY6zv59phsGHOzBQbMDMDgY6/iOjBgeX7374DFcv96%2BEyVr3gducrCMTsomtdn0c8rzCy/jc3yS8ck%2BksZeBduwwXGKxeD3D/tOsPGL2hN2nYTtG9DmiA3sQxX3mG6%2B%2BWYdffTRetWrXqUtW7Zoy5YtvtsN0yuLlDSszt3fGoOFcfbBKyxmk0WLohccn8Ibjl%2B%2BfHJUp09bVSo%2BprHKvAOjx9FeN2wdd8dxlzXeek9RfTesVfEvwhYnD0gNz7g4m3Gqvua5bS8UpE99yh0tzTOdvdnVvk2XmauWZopy1P0dHq453yW5J7TfGvV5f%2BE1qwBh3ktWePr73SyFs86a%2Bruw74Qon2seomRD2PY/G2SrnVdoQEsjxT2mv/zLv9TixYv18pe/XDNnzgx8AGnIOwsyDe2wD55Gc%2BQ9RlOf61JyiyObtfaOOVKhoEKh9kB5/15zQ0XFraOBKb9BUwO8tqxZc2Dq5SVlDV96T7zU8IyLsxnHRjoQtORV1K5aHvNb4wRtaaUoR93fKCnGNnxZZF2A0Evd//WvzbZvRmr5mWe6S6nVT79p9J3QCqnjtnSCwC7UJIDN8h7CR3ORxtKabMmCTKId9qHe0JDjdHdP3Yfu7mRZuEOX3euUimM1r9lb3OEMLflH45RfL%2BN0YCA4q7NQcJyhDTFTU31S9GtfOP4BCE3VV8Xp1W%2Bc/ZqWbrpxXN6xCDzIGaVkm15UaafxRt3fqCnGtnxZZHWO%2B6Xu25R%2BbZqu3iqp47acT7BHXt/ZliI2sA8j6EALaIcBgHbYBz979kx9ruFa6GGGh1X%2B0ol6pNKrES3SoJZpRIu0rXK0ynd/yHikqlh0B/c2bvR/m8mByEuKqvQtClicvIGgofr58xOnHzes4q8JSdIaDah44L8n5VHAKs/R3qhr/6VR0T7O/kYtuJb3l4U3ur1vn3T11dJRR9X%2BPkkBQpOifp48l6xYtCj8O6FZhfSSYjlGVLMhQwcIQYAOtADTuOPuu7NtRxLNmtLZLI1WGov9//iqG4eiJrRIW7RMd2iRtkwNRg3erCn3z/U3OX43PTEEVvHXDm1Uv8q66%2BCTed5g5xmkmMy1kNxjk9ac7Tj7GzXgzvPLoj7tdeVK99iuWpW8MnyjwMCP7SsR5N2RYsrGdTuRn1bpWEJHI0AHWoDpQNmdd0qXX96cNkVl0yBGGkvVZfL/%2BBhFvyqaplHnJK3b/i6Nfvl%2Bd18O7ODOoXuMXiPW/bM3Ejg2Vvv8Y4%2BZpw%2BEfBA1U/QH/lUjWqxtetXU4FzK7wY7zSAlzokZ1JPR0%2BN22iQJKP3E2d%2BoAXdeXxaN5lNffbV02GHRskzqmV7fV12V/ueWhVbqdbVx3c4o2mF9VVu0SscSOlveOfZoLuaZtK6gKVP1j2LRcfbty7u1/jKcthypDfXTJmfNcpxPftJxVq92nNtuM5uKnckqTKYveuAxpDOckh6tebrU/Zwz1P1XjqPky7YFijv3tHpu66pV0ZfQ8vvwenvzmy%2B4f7970qRxkJMuKdasZa7izOc1Xv%2Bvqs3N/rIwWbKuu9tdYzHusW3W0m3NEudzzZvNy8EFaYf1VW1CTYIpiA3sQ4DeYbgIW9uHP2z2/5XVq/NuaTC/e42uLjdey/peybSTw%2BT%2BJ5P/x0co%2BjWkM5yCKo5Uqb0nVsUpqOIM6Qxnv6Y5JT16YLsU759N27lpU21APn9%2B4%2B1Ngi9bbrBNC32ZHORWKlgUNyiLE3A3s0MmSsG9uMHRpk3tFxjY0Ovazlrpu6FVtGLHUsaIDexDgN5huAhb20UXmd3fXXRR3i1tbP9%2BN17r6jK7700jJjMZIPP7/3TQ/U/S/8f77lPYix54eIF3fXBeHaR7Vc69QL4%2BSE90f2c6Elj/AZsedNtvjkx7ekw7HFqhEna1uEFZlIDbu0Buuy1aaktcUbJX4lw8Q0PhHVSSO0pv02dtwrbMlnbRit8NrYKOpRrEBvYhQO8wXIStzTSb1uYRdMeJNiiQVnZflAGy%2BvvMoPufNOOUWbPcJdFGVm1x9qvYMAA0Tl3Xux1H/qnwie6f4x7MKA9bRxGj9PSYHORWHVWNG5SZ9LblkdIb9ZyOEhxFSd2RWjM4sCWzpZ2Qip0tOpYmERvYR3k3AM3FRdja9u1z55g3%2Bn%2B1zXPQHcdgUEATTm/P75z9%2B/anmt0XcXq38f1P1P/Hm9yrV88jr3nRyy5znFLJGdTZRu0e1NmT/9ivac6I3u0MXvT/Jb9/NhzpT/SwdR6u6U3z6tXhB3loyDzLwMbjkUVQFnbRb9iQTSAY95wOC46ipu4wKgpPu9UssBEdS47jEBvY6JC8itMBiG76dOmSS6QvfjF4m0sucbeLo1JxCw3v3OkW3u3rS78wdmj1cxW0ffdLNDr/L7TcuUWOc/jUbRy3kPPy5dLMmdITT4S3N0kh4UbFXMtlackSs%2BNmusrS2FOHq19f18ZVy1U%2B7v7aF73uOs378v3SivB2z9PBhnvLtmnpi9Ki8L%2BtbvPUfTuwbFF/v/tBhO1QHDZUfvZjWtl3zpzGF49XMdz02Nl4PLz1stNisj7x2WfXVrAuldxzMWkV7rjndNj5EHVlBsc5uPxDmscWraeVquS3qrS/w4C05N1DgOail6w9XHbZ1JH0YtF9Pq5mZZWaDgpcpWsiD7o2am%2BSQd%2B0MgijZNE2GkgLnf9eNQc9ychc6DkRVPEv6gFupRHENNJOo4yq2n480hRn6kTac0b9vlyTfDnETd256qrO%2BMwRjGJmaBJiA/uwDjrQgr7wBen556XVq6WLLnJ/Pv%2B8%2B3wcjZb/NV3S2pR5Z78T%2BbUbtdcbIIsqzeWWoyyr6jjB66hX70v9UtEFTUiS1mhAxQP/HWetcKNzomah8kH35/r1Rq/vK%2B81zU2ksUZ31FFVm49HmuKsO%2Bwc%2BJ4YGEi%2BNvTwsPSlL5m9jula7HFHN6%2B9VlqwIN0vX7SWhl/0LfBdCSC%2BvHsI0Fz0kqFeswvFmo7%2BbtLiTAZgTVfH8l4rzQyCOAOEjaYX%2Bs5/D5q/HmFHEp0TSVIVWqVAT9IKwKajqt3drXE80pK0%2BGCSVJeoWQ2mXw5JrocOrSiNOhQzQ8aIDexTcByv%2BxmdYO/evZo5c6bGx8c1Y8aMvJsDC4yOSosXh283MpLeVC1vdFaOI0cHRwa80d%2BN6tcS3a0FekRjmi9H0ZN9GrXXm1d9/fXSt78d/BqXXRY/KyHofRcscEehTb95w4677xxxJSsmkPicmPyA1XhHSyXp/POl447LruiBlE1xheFhd7509Uh4b687ohU2H9r0AG/aJJ18cpJWtpY4F0i1wUFp2bJ47236mUjmn7PH9HrwUyi418m2bYyUdrJmFIhBxyI2sA9F4oAWl/T/26ZZpXGyT4OUy9LGjdLyC/Zpx%2B6XTD5f0g6t0YDKukuStFbL1a%2BNKqg2kE/a3mLRPU4f/GDwNoWCdMcd0nXXpXcfVF2HKox3Xx6WQetf4yZZ4ZvE58TkB1wXwDYrIK/mF0inUVgsSnXAel6afFAg6n34YT1MzbxZb8Z7Ji0%2BmFUlyGpXXSVdfXW0fQ%2B6HorF8HR6x7GjaBwBYr4oZgZ0lryH8NFcpLFkq9krdqRR2C3PpVb379vvjMzqdwa1zBnRu2uLmh1I8RzqPt8plSYiZ4du2mTvfoel2eed2Zrascl7CZs01%2BnLqm1R0%2BTzWCO82e/p936NCrelMQ%2BnGV8I9dfDvn1uMTiT981zKa08zjkATUNsYB8C9A7DRZidPO5h04g9ci8UaxCoVN/XbtrkOPPnh0/pnD%2B/8THIe4lZb58GBhynp6f2PfOeXpj7OZGGZhdXiCPq3NI8Ohzy6uSoD2bXr08279/k/fI46fPsKTRhcycXgFQQG9iHOegdhnkm2Qha0tgrtLpxY/Jleqt5UzWDCkFHnbYYNEUyq/b7NiDCfF6TKZ1hbc9j7n2QXLJHQ94093MiKZs%2B4EZMP/y0L3rTtjX7PRtJMu/f9PWbfdLbdoyr2dw2AKkhNrBQ3j0EaC56ydKXx0BdFoMuuReKjZgObVKNPdFa4jkPsCbODm/0AobpHrmfE0nknSKRtjxGWm0c3c162kQeJ/1llzX%2BEmv5uS4AbEZsYB%2BKxAEJhS1p7Djp1/jJorBbkppXqYhYBKdclmbOlE45JXibRsc%2BrB6V40g33JDuYKTpsQ2qa3bDDVJPj8FrNCqMJvmne3gLnFeNEuZ%2BTiRhWjAsSWGxZsq6mqPfCZpHBckwWRfLavZJ7629HuTSS/NLVbHx8weADkCADjRgElTlcQ%2BTVezRaoVin3jCbLugYx9UXNmzYoU0bVry%2B%2BMohcSDpkvs2CGddVbtc76vEfQCXgDe1eU/L8BxVFFRWy%2B4Qzt/d7rmzZ82eb630jkxybRSeliZ/CB%2BXw5SdoFdlh0OQSfo%2Bedn9542a9ZJ/%2BKL0gUXNJ6nk/ZSElG0WycXALSKvIfw0VyksZgzLfqWRxag7enZzZLWsV%2B/Pvg4Js0wjVJjKWy6ROhrRH2BqseQznBKejT0fG8pcSulm7xu/XHu7nYfWR3ArC76Rieot1%2BNKjKWSu3/RZOFoSHHmTXL7hRy/kcDdARiA/tMy7uDALCRNwhZP6rqDUIODx98zhuo8%2BoI1SsU3DpGcQfq/Hjp2d7r17%2Bf5NZNaolU5ATSOPaVinTJJf6/8wa2BgbClysOeu3lywMHrKe8dth0idDXiPoCBwzrDPVro3Zofs3zfud7S/FSJObX7pdKpfgFv4K%2BHPbscR/V0jyAWVz0YSdo9fsEXWS/%2B510993Brz86Kq1b5/6McxG1I%2B8cevJJs%2B3zSiHnfzQAkAsCdKBO1KAqr3uYLGKPVpPGsY9SQyBqvBHltaV49%2BE1rzE2FvnvK5qm5Vor99Su/V9Cow6Klom9ymXpkUfcau2Dg%2B7PbdviXSCNvhz8JO3hqZf2RW9ygu7ZI119tTs1ws%2BePdLSpVM7IYaH3QrgixdL55zj/lywoIV7e1IS9RySoqWQp31h8j8aAGi%2BvIfw0VyksYSLmzadV8XrrIsat4Ikx9602PfAQPR17qMWEjc993xfY%2BDHUxdUN3iM6N2Rz3fT6R9tJ8kHlPYclzQuetMT9LbbwqdOdHcfbAdrZweLcg5FTSHP8sLkfzRA2yI2sA9F4oA6cYu%2B5VXxumWLeKUoybE3HZxas2bqcz6Fz2O9trddWF2zhq%2Bx5tOSdjfeqFBwR0L37JksXb9TZo30zvewGnRtPaiWJNU4zTTltC560xN09%2B7wqRN79kif%2B5x05ZXhafMDA%2B4F24mp0VHPA9P0q6wvTP5HAwBNQ4o7UCdJ4VrvHmbZMvdnJ95/Bsk0JbpSUXHrqBbtXKdl80a1qK9ifOxN5rEHvZZ3LxyUwRx1jnyjlP1gjorarxP1Q7PNv/51aWhoMmV1nswChnnzok//aDtJqlXbWOna9ATt6TF7vRtvdC/uKPM6Oo3pedDTYx5Ud/yFCQDthQAdqJNH0bd2l%2Bl01IQvHjaP3XEa39c2ijfizJEPmvIZrKCKDtE9elfjzapv%2BKvmZffddoFKPS%2BoUPAfsq8%2B36POqW8JUXqOwr4c/Nj8hWF6gpqejHv2uMfQRKeunW1yDvX0uBea6Yh3W16YANC5CNCBOhSuTVeUivh5vXijOkgDA2ZNCVtrPUqNpeq6ZhddZPj%2BYanqq1fXvtmBdI/iB87W2ptfIqkQer7Hnf5hLb/OndmzpWuu8Q/Uo6Y4ZPGFkUcRsL6%2B4CJxcVWPJLdMxUElb2vY/2AKBenmm6Xp081fs%2B0uTADocHlPgkdzUQjCXF5F39qBV0/ottsaL/WbaBndsDW/Y7y4Xx2ktNZaj1tjyfj99e5EDTQ53yMdi5g73LRaVEGFzKqLngVd7KbroJt%2BYZjudJ5FwFatMvvwN22KtnZ2K1UcTLOtaf4PJq0vKTQHBfdgGWID%2BxCgdxguwmj4/2g0%2B/e79/FdXWb3i4nuG2PelEb9TL1%2BANN4I22h76%2BK06vfOPs1LXEDw46N8bFYHy%2BQaVqsFta5U71DQW/ud7DifGGY7nTeldH375/aARF0nnltrW9vfVvz3qcosmhrWv%2BDyftLCuZaqUMKHYPYwD4E6B2GixBZGRpqfP/e6OEtMxZJ1DXMnPj3RqbxRlaC3l%2BqONKEs0pX%2BQfoGTQw9Fhcdq9ZIFMXnAxt2N%2B8WC3KUldpBDZBgZhp0JdBtkgsUYLUsBFiW/bJRCu0Ne8vKYRrpQ4pdBRiA/sQoHcYLkJkYWgoXmDuPZoxgp703sgv3ujpcZz162O0PQa/96/paNCjzpDOCA6IMm5Lb6/jDG0wDGTWr6/Zbr%2BmOaXimCNNNCf%2BMe3cSXSCNjhYpdKUY9Bwp21KYY6Smt1ohNimfQrTKm1lXpa9WqGTBx2L2MA%2BrIMOIBFvhZ84CgW3FlWsAtdhi4ZXvXilIn3yk/6bOY7Z0szlsjQxIX3iE%2B6y0JL785JL3L/Jeu1vb633z/3FL7Vy6PgDzx6s8zmm%2BerXRm1Uv8q6S7rqKunqqzOpZhi47rxpNemzzqp5eqv6tKNyVOifbd2a0lLMUZc8i1tcq9Ha1HXHYIrqnbalCFil4haL%2B/zn3ZO/p8ctLtfX53%2BeNVo725Z9SrMNebc18MKkomnuolTaZ715oONRxd0i1113nd7%2B9rfryCOP1OzZs3X66afrgQceqNnmhRde0IUXXqju7m4dccQRWrp0qXbt2pVTi9FqsiiWHHbfESRugevJfVhf1Oj5t6viTAstt/%2B5z7kxUZDqe6Mgw8NuTOUF555UqtFH8I0fvObAf9V%2BfTsH/j2gNapomnTyyZnemHux17Jl7s9iUbEDlNAK9N52ceOf%2BhP/xBPdzhtTcdYwN1mb2oQXaJnIcq316or3554rrVgh/c3fSE89NfU8M/miMW3r7Nn5V3i34fib8r0wkbtW6eQBYIe8h/Bx0Kmnnurccsstzq9%2B9Svnvvvuc97//vc7Rx99tPPss89ObnPBBRc4vb29zubNm52f/vSnzjvf%2BU7nxBNPNH4P0lg6V1a1aaJmCyfJvPTdh%2B7nnKHuvwp88Sjp90Fz4aNkJ2ZZWNA407bnzHxSJaPM7a56jOjd2WUQB534l10W/oZJ0k5jHgvfnc67CFjSued%2BXzQm%2B9TdbUdBrbyPP1pfq0yTQEciNrCP8m4Agj3xxBOOJGfLli2O4zjO008/7Rx66KHOhg0bJrf5v//3/zqSnHvvvdfoNbkIO1OWtWmixCE9Pe7Sa3EC10aBdqEw4Qytun9KVGxarDvs3sh0H1etyjaeMK6LN/DjdN4wqrBAJuCxX9Ockh51Cqo0jn/2Rez9CDvxL7ssuLJh0osjbs9VUNCXVxGwKL1TUb9oGu1To/fLo6AWRdhai21LsNDJA4sRG9iHAN1iDz74oCPJuf/%2B%2Bx3HcZzNmzc7kpzf/va3NdsdffTRzg033OD7Gi%2B88IIzPj4%2B%2Bdi%2BfTsXYYfJujZN2OpL1e8T9x7W5D389iGtYt1JYq00799bYhCmUZDWoNFDOsMpqDIlSK%2BpDh%2Bl98P0xN%2B3z39twKTFtaKcfKZBXx5FwEz3w1v/POoXTdCIu%2BmSblnxC/AowtYabF3KjE4eWIoA3T7KuwHwV6lUnD/90z913vWud00%2Bd/vttzvTp0%2Bfsu3b3/525/LLL/d9nZUrVzqSpjy4CDtH1kGdSQp5d3eye49Vq%2BLtQ5TAulH7kmYrpxVPhA/CTOQ/CDM05Ozv6nFG9G5nUGc7I3q3uwRcd7fjbNjQcAeGVD5Qzb32vnrVX/zKGdSyg69lcmMb9cRPe8TNdMTMOyamQV%2BzRwZNL6Krror/RVO/T5s2ZfulFaZRgGfbyCxq2b6UGZ08sBABun2o4m6pCy%2B8UL/61a/0wx/%2BMNHrXHHFFbrkkksm/71371719vYmbR5aSJa1aUwquM%2BYIT32mDR9evTX995jzRqzbesLwZnWbFq1qnEV9rCC8WEcJ50CvcWitHatW5SuUKhti1sXrxC56F6qhoc1vPR2LdfPtEMHv2dK2q61e5arPG1awx0o6y4tWfcBbe0pa%2BdO6cEHpa9/3dHKO98oafDga2m5W6necYJL8Ec98RtVHI8j/MNyT%2BxyWTrjDPPK22m3M0zahc/8Ppf6fVq3Lv5rJdWo8n5/v7RxY/ZLNrSrSiXbCvNhhRlNluvIGpX2ARigiruFLrroIn3729/WyMiISlWVhufOnasXX3xRTz/9dM32u3bt0ty5c31f67DDDtOMGTNqHugsWRYgNqngvnevdM890V%2B7%2Bj1%2B%2B1uzbesrrHuBdX2R92qlknTllY1f14u1pOCC8SbSiCfKZTdGmD%2B/9vlS6UDssCTFUv0G1bgnN7l9Qtec97D6tUE7VNs4bwm44Y991705bbADxTPLWrRIOuwwd5W4%2Bk6XydfSGe4T1b0f1bI68aMshRD6YR0I9GyuvB12ERUKUm%2BveaeByfHOq2q6SeX9gYHwayqL5TJaXfUqAOec4/5csCDd5S%2BiLGWWJ5uvdwB2yHsIHwdNTEw4F154oXPUUUc5/%2B///b8pv/eKxG3cuHHyuf/4j/9wJIrEIViS2jRh2ZzGRcsCqqObiJKmftttU/8%2BzWl/QZmvcVPwk/D9bBLMvZzyeuvDX8vv7aQJ//NMFadXv3H2bxppsAMHf9VwOrP3WtXp7vUnWRZFmeIe31ZPiza5iNI83nkV1EpjPpCt85/z1Ky082b8DwloQ8QG9iFAt8jHP/5xZ%2BbMmc7o6Kizc%2BfOycfzzz8/uc0FF1zgHH300c73v/9956c//amzcOFCZ%2BHChcbvwUXYmeIEqSb3mc0oWhZl/nfQ%2B6Q17W9oyHHmz699nfnzHWf9%2BuTxROIYLsFNsO9nrUedIZ0R%2BFpBbxf6GV21KXRXjM8rvbvxh59270yj47t%2BfWsH4WFMLqIsjnczC2olDfAaXRQ2zH/OQ9ZVSqu1RBVNwD7EBvYhQLeINLWYmyTnlltumdzmd7/7nfOJT3zCecUrXuEcfvjhzhlnnOHs3LnT%2BD24CDtXlCDVNNZrxkDX/v1Tg2K/R6mUbQBssmJX3Hgi8aBbgpvgwP06UFHdL0jfX3qlUyr5j5SHxjZX/Xvo7hjHSTo7/CTbsMFd38/kxI97fCXHKRYTfID%2Bb2ldvG/SqDSLYDW7oFaSAM/kHMm9gmMOmhk0s5QZEAuxgX0I0DsMF2Fnq76/3rTJfdTfa0eN9Zox0GVSKT7LwSnTYxK1ILe3b4mzP2PeBMdKJZecEb07VnAuOc7IpvCbY/MR9EWND5JfgDdrljvaHUWcMv4JLoCWz5JOs3ehmT0VSQI8Rm/9NTvtnKXMgMiIDexDgN5huAjhOI0DgDj3mc0Y6Boa8l8aOekSbiaiHJMo8YTJoFtPj7tUd0Mxb4JjpZJLzqDOjh6vquL0dj%2BXzhRkr%2BOg9MrGwXmj9dhXrTIP%2BqIUQjAN6ALYvkpU24sb4N12m9k54Vcoo53l0XHBUmZAJMQG9mGZNaCN%2Ba1qc/fdjVcRCls2zVNdkbwZK8d47zE66j4ktwBuM4rgRlmxK8oqWCZV8HfvlmbPlj78YXf/fY9rzKrXxvul2r%2Bbp6jl6CfkqKClHzxcW7eGnxsNVyiTI6mgNav2qnjlw/4vZFKNe%2BXKg8%2BVSu4bBi2fFbdauONEWl%2BvaatEZb3cle0a7b9XeX/58tqLs1Q6uCyen/olJIKYbtcuwtaoLBTc3/f1pfeeLGUGoNXl3UOA5qKXrHMEjZL7jUJXDxLVT9c1HfCwcs5sSrIaBIozMOub6hwzNTfWCHrVHPTgInG189OLxYnwffAReyAsakp62Oho2PENexim7zZlsLHl8%2BcTMt3/qF9ojKAHI%2B0csBqxgX1YBx1oQ8PD7uhj/ejsjh3Snj3Bf%2Bc47gBPT0/4ssfVAx7NWOI2T6ZLQUcdBIozMLtjh/vZ1hxbk4Xa16yZMoIUvk78hEp6VH3aWvNaxbU3aO3aQoO3K2jVKne0V5IqldqNvGyNsPOjXJYeeUQaGZEGB92f27YFD2JOirrgvBcyXHCBdPvtU9eubnR8TRh%2B0FEyNWIJ%2BmIw/UBaXZT9j7pWdf1a90m3aydeVkL9vpdK7vOhFzQAdJi8ewjQXPSStT%2BTec1hj4EB8wGPTpkzm8UgUNyB2cCpzTGGnIP2y3t0a/fBSu51r9Xo7Zq5utIUcYq61T/8RlX9dri%2BenuCncx0BD3XD8QCWe8/VdzDtXOaFdDCiA3sU3Acx8m7kwDNs3fvXs2cOVPj4%2BOaMWNG3s1BBkZH3RHsJEZGpKeemjoNs7e3dhpmpeKOlAfNo/amF27bZsf0v6RTb4eHw49JVN6gXpxv4pERn6nNITsZVJfgYx/zz65w53xLG1f9u8pXvn7KAQt6O9Pz0HcfzHYlmHdiBs17NeGNlNeP8NU36sknpbPOcn9X/V5Bf5%2Bg2YmupzQ%2BkFbWjP33LmYp8bkAAM1CbGAfisQBbSZ2%2Bqtq6/UUi%2BF1dsKKnDlOpBpZkYQFb/W/371buuSSqXWfGtUGqxe19pBJgOllf15wQfT6Ub6fdYMqdX4dDKWSdMMN0ktf6v8ejgpucbJvHq8lV0r1uxr0dknTtX3b2vOC1n7gJyovqTQ%2B8I2qzJlyHP%2BqbH47HKeoWMRm18xUUEUajdhzkXn%2BvOWasf9xC8wBAFAt7yF8NBdpLO0vbnZvnFTtZi9x6wmr8%2BT3%2B7T2uVqjjM2otbj27XOX6I7ymUVJdQ5bdSzt90uSrh3YVlWcgipuyr1JYTPTEyGNHU8xfbfhTIW4Rd46fZ3uZu4/qdwAWgixgX1Ice8wpLG0v7jZvXFStU2zRlevli6%2BOJ0096CUcG%2BE8dJLpS99Kdq%2Bd3dLd94Zbcm2oNFor5ZYozYGZboGZcjWi5rqHDYVwdTgoFszy0TcdO3QaROaUEk7tE2vUrEwEZ42XJ3G8OCD0tVXu89HOUGi7HhKfLMv7g45%2BRsdi0zz51tAp%2B8/AAQgNrAPAXqH4SK0V5pLEw8PS0uXmm171VXSySfHe78onQFR08kbvV%2BjQLNYrC3AHUV9G4M%2Bk0adBI7jBvxB1fLD4gC/wL/%2B7yWz6axe%2Bzdvlq69tvG2JqJOz40zJdd4qrAWaVHhB9GDqrAD7PtmEXc8C2kUfGinOdJxvjDDesBWrZKuvJIAHUBHITawUL4D%2BGg20ljslMXSxAMDzUk/D6sCHjud3CdNNI3i3KZtDPpMNmxIJ2t606bgLFhv1wcGpqa9G60D7qSX3e0dl7gFqKMWljeeNqGz46clewf4ttscp6cn8vrxuUgrRTv24vKGmpHeneQLc2jIcebPDz5%2BnbQmPAA4xAY2IkDvMFyE9slqmbJmTrmMMufbKN4JuAEfHPhxpgG618bu7uTztcMeXV1mcUGceCfonDLd/zTPw6j7YHze6t1V0XqCXqa01s9LKzANep00Cz5kFURn0dPo9x5JvjDDvqzabX1IAAhBbGAfAvQOw0VolyyX5g1bYzvtwcH9%2Bx1n9WrD4GqkwQs1uAEf0aLMA/S8HmnFBfv3Nx4gbHQu%2BGUHpDm4atr%2Bxp09FadXv3H2a5rhCWUg6ahyWoFpo9exvchbVj2N1ZJ%2BYZr2XNmUOQEAGSM2sM%2B0PNPrgU4XZZmyqLwlm6SDU0w9NUs2pTTdsliU5swx2zZwJaNKxZ0f7DhTf%2Bc46tNWlYqPSfL5fYvzdnlgIP4cekn63OfcmgBR3/v6693puY884k65Hhx0f27b1txpycVidT22%2Bs/ZkVTQ2VqnoibcE7m3151/nES5HH/HvXnN9Rfy2Jj7/PCwWRvCXmf3bneOef3F7EnrWMQRct1KSn5iS8m%2BMBu1McrrAACQMQJ0IEdZL83rLcs7f37t86VS%2BvWgKhVp1y6zbefNC/hFyA14URWtrVwUvXFNVCi4ReIKheBYKohRXFCpuJXU1q1zf1YFPcPD0sqVcVrtrhE/PHxwme9ly6JVtU9LpeLumqv%2BABYkObpDy1TxVmRPq5cpzo6nFZiavM6nPuUuhyA1p8ctiix7Gqsl%2BcIMa2OS9wMAIEUE6ECKGsROvgID1Zjb%2BUkyOGhqeNgtML1iRePtggb5Jo/b0HSN6t2qNPhqKusurVp6f6x2dndL/%2Bf/SF1H7JM0EbBV0PNTBcVJn/ykG2/NmlX7%2B64us9etjgtqzqlrfqDKK1/lljk/5xz354IF0vDwZIwXV9QB36yEx1HTtF1Ha2tPOf%2Bq42kFpqavM2tW83rcojANZKOmdtQz/SKcPXvqF3GcYDvJFy8AADEdkncDgHbRaF3soPvmvj53m7CleZNmrXqDg1kIWnKsXtAgX%2B1xO1HSqErarrVarrLu8n2tNxw/TRqK3tY9e6RDp1X0jcMuUv%2BzX5M0IaeqM6CgCTmSuqc9paecV8hxpg6Be5/J9de7o87Vn/fLXiZNm1Y7ij1rlnTuudKSJW6ccMop4e304oKp59RJKumHtcfmQGS99epR7dhxUpTDUcNx3H0bGHDbmtdKU8aDpKvvkMo59zGnlQIT5XWWLXM/oLTWZEzD7Nlm2w0MSIcd5l4Ucdpu8oXZ1SV96EO1nQGlknT%2B%2BWbv4b1OGl%2B8AADEkfckeDQXhSCykaQ%2BUlpFpP1kveJReEGvxjW3Ao%2BbKk5BFWdIZ0w5KPtLr3RKpQmj9/R7DF71744jOUM6wynp0do26jfOkM5whnSGU9BE6Geyf7/jrFo1tSJ70N9EKdwX6dgUCs5g14Wxj4ktdcYcx/5aaDXSamxL7bSPTZvin2xRi%2Bk1%2BsJsdBFKwcsz%2BG1PFXcAWWnGcpQREBvYR3k3AM3FRZi%2BNCqxZ7E0cTNWPDKNK1avnrr/ocetvlr3gZvykVVbkgWfVx0MJvZrmjOidzuDOtsZ0btrKoMPDfwg9DOJspxZV5cbx2zYEN4hE/nYSM6I3p3ouFQ/kqxallSzVx9IJK3GttRO%2BzBdAi5o36IGxEFfbt3djd/HC9AbXbTNXrYAQGdpxs1ZRMQG9mEOOpBQGtNQ054nnlZh6TCmmblz5kzNYg09bt5cYx1IMz0wz3bncfHTuEslqW/RwYYUNaFF2qKztF6StF5nTc6BLy%2BpNPxMohSFlqSnnnLT21eskC69tPE04sjHRnIr3Hc917AwXU%2BPWVvznHrb7NUHEkmrsS210z6SnDDeBRSlyrvfF%2Batt7pzWBq9z5490tVXT734enrc989j2QIAnaNZN2dofXn3EKC56CVLn%2BngURajkn5ZUlmurV7PdAR906apf2t83C76/2pSwEzf0%2B9xxBGOs2rlfmf//KMnR9H8Ut1LxTFnaEPjAxS3Hd4A3vr1wRluAwOGx0Zn1zwxtOr%2BhqPz3jrnrTBQm0VWSWbSamxL7XSVsAwA00eSFP4oX8SWpZcC6ADNvDmLiNjAPhSJAxJqRiV2P0FF6c4/33xEP2nhuLCaTZ7zzptaLM/4uC09UVoU/T39PPustHJVUTce8f/0deccSVK/NkxZbXtHZZ6WnlnQhg1up7afuCswOY47KPqpT7mDdfWDopWK9E//ZPZa83SgEQeKWpWvfL0ufVa64Ybawchp09yCdv397n/397t/Un38bBuoLZftq4UWyLCxlUrIJi2101W8DICgi8VUkmXNonwRZ1k1EwD8REm35PsJefcQoLnoJUtfHtNHGxWlMx2sSmtEP6hmk98IbvVAYJLjtmFDsoE69zHhdE/b40iVwG2KRXek20%2BSkXy/AUNvUK%2B/3%2Bxvj9TTziYtdvarOHlwG82Jrz7%2BrTpQ28osnHaYvqEhx5k/P58R9Fafxw%2BgveWZbhmC2MA%2BzEEHEmr29NFGc5%2BjjCg/%2BGA67SkfWI76qKOCt/HaVT3NNO5xGx4OX2/d1J6JLqnBmuuVinTWWf7TwryR/EZzvsN4A4beOvKLF7vH0sQzmqlT9H0tKD6q4UvvUWVJOXROvHf806x5ULNO%2B6j5NOJO0jHTDstl6Te/kVativZ3hYLU25tsWTOTL5Trr3dHp/xOVk5kAFnKK90SrSnvHgI0F71k2WnWqGQaI7feI822ma60VD9IFuW4RamanuYjaODNJHug0WPVquT7VCi4y8GtWpX9IKXf/rf9qHBCFk87zJbfyRF0ANJc1izoC%2BWyy4JPVk5kAFmzOMuH2MA%2BBcdxnLw7CdA8e/fu1cyZMzU%2BPq4ZM2bk3Zy2EzrHNAXr1knnnJP8dQoFt5jxrbdKTzyRvL2m7RoclJYtq33O5LhVKu4oc6MpXFnatMltU30b/WoBzJolvfCCO%2Bc9THd34%2BLTJgoFqavL7HX8jn8c3qhw/f9BvMFKryJ92zK82EdH3cyIMCMjbTjtsP4Y7d7tFkOovlh6e91UmTRPlvr3ffJJNxXG72QNugXqmBMZQNN4/%2BOUar97cv6%2BITawDwF6h%2BEibH2mN/xxlEpTi7mZyjoQyW6/HUnheepdXe5SadX/Xr5cuvJK99/1sdoVV0hf/GIW7U0mjUAwrLPkQM063yJ4bSGoQqPPxZOk46otNaMXs/794vbstf2JDKDp/P7/kUVHZQTEBvYhQO8wXIStz7vfbFTFvFiMN4UySSduWLuS3uumlTlQbYae1l7NlEmAHvgaM6T//t9rC1gHjS5nratL%2Bu1vszn%2B1Tp6VDhi6kBHHysbpNGzx4cDIE3N7qgMQWxgH4rEAS3GpBZS3PpGXsxRXcwtzXYlKZaXRd2Uj%2BgftEFnqqj9sV9j717pzDOlSy91/92oiF/Wli93f5oe/7h1sUxXw0qyalYuwg6ISYXGuosnrJhgGvXR0EAaJ2HLncgArOYt9bhsmfuTDB3UIUAHWpBXOX3%2B/NrnSyU3PkjCcQ4uxZlmu5JOrUqjanq9Jfqf6teQ1ulsSRMHHvFcf70bpIctdZoFL8i78srg43/nne4Iuxd7bthwsHL8Oee4PxcsMKso3pbFaKtL6QcdkCjr2B7Q7FUeUCeNk7ClTmQAQKsjxb3DkMbSXvyypLZuTWeudpI5sVllbwXVV4mqoAmVtEPbdIyKB4LyYZX1yWlf1thEg/XiDCxffjAgS0tvr3T22dKXvuT%2BO6y2jF%2BNrBUrwjsOTKc4ZD2doelM09YTTCi3cNphZzCZExSkmSeyZSmvADoHsYF9CNA7DBdh%2B0tyP1rN1mmXfoGOVwm9UVFmT%2BFAQL5R/SrrrgNPuoHY5s%2BO6pRVJyVq38tfLj39dKKXqHHVVdLVVwdXjA8L8qLOhzeNSSwtRhtdlIp3o6PSKaeEv%2BamTdLJJ/u%2BFTFYDhqdrN6/6788mnkiRyg6CABpIzawDynuQJtplFLr6epq3Tmx5bL0yCNuB8LgoPtz1y5paGhqand3t/uoVup%2BQRu7//pgcC5N5uA/8dpkwbnkBucm/397%2BcvNXu/kkw8GcX77vm1b8D18nPnwplMc0p7OEHc%2BfGIx0tbjYtphThqdrEND/l8eaczLMeF1HtSfg2Nj7vMmc04AAG2FEfQOQy9Z52g02irZN/qZxuii32tIPq8r/zfLcgm7ajNmuMXlGkkjuzbJ/phOcUjjc8t1ADFK2rrEmmmtrNHJmkd6Q8evVwjABsQG9jkk7wYAyEa5LC1ZEnzPuXGjf1CUx5zYuAGa3z21X1p%2B9XOVijS6taidOxdNOSZeIbqsirx5qfgmwbmUvHhYkuLTpnWxvFHhuIJS8N0BREcbr/53lY%2B7P7ugKYuKdxQVi64ZAXKjkzXpiRxHlOwNG%2BcbAQAywQh6h6GXDNVMRpxPPFG6557s7psjLitd83dRg3qTvxkelpYujb8/9fswa5a0erU0d6503nlmwX9axcPijKA3uy5WwwHE%2BmJ%2BWQyrR6l4J7VZdbyc1H/x7N4tXXJJ583BTlB0EADSQmxgHwL0DsNFiEb8AthisXY%2BcE%2BPdNNNB1Pkk4ib4RknqG/0N47jLk%2B3ZInbAXHppQenAqRhZMT9aRIsr14tXXxxOvFd3IKBQ0PNiYtMOxBGtEiLtCW7ORhRKt61TXW8nPh9yfjphONpfAFYWrETnYuKl22F2MA%2BFIkDICm4VlF9sa7du6Uzz5Quvzz5e8apz9Wo8Jn33MBAbbtN/mbNmoNLX7/iFRF3JMTOnebp5r/5Tfh9jmlBteqCgaZWrWpePGR6THbqQMp40AecVJSKd2lXx%2BskQV8yfrL6rG3izalp1Yqd6EzDw%2B7/KBcvdjNAvP9xUtAQSA0BOoBY1b6/%2BEVpw4Zk72scoFVtFyeoD/ubajt2SCtXuvPFg%2B6bPaYdzfPmmU9LXrOm8X1O1HsjL57s6jJ7/%2BOOM9suDcbTv1V1AqRYVb1GlBL5UcvpI9slBVpV2JIbjiP91V81t01AI6w6ADQFATpgidyWmVK0ALbahRcma2ec%2BlymQf3YWPS/qbZvn/szKEhftUp6/PHw0e5p09x5/N5gmYmgQcO490blsrR%2Bvdl7N7O%2BWegAoibUq0fVJ58ALUkFvCBR1kFjzbRo4n7JSNl81rYIysjwrFzJ6CTsECd9DUAsBOiABfLIGKvuENi8Od5r7N6dbHArToanaQA5MHDw%2BMUJOp99VjrrrKn3zb297hztz35W%2BvGPw%2B9FJiakz39euvtu6Xe/M3tvv0HDpPdGixbZl03baACxoAlJ0hoNuAXi6vl9qHn2cqGxZiwp0Kq8jIxVq/x/n%2BfoJNcUPHHS1wDEQoAO5CyPjLH6DoFrr43/WknuuxsGaAFLjYUF9Z4nnzx4/Ez/pt6//Iv08MPBmcym%2B75ypVsZfs8e8/euf%2B2k90Ymx/qv/sodaW/mfXjglG7t0Eb1q6y7an8R1JPAvEi7xQmyO20O9je%2B4f98XqOTXFOoFmdOGoBYCNCBHOWRMRalTpOJpINb5bJbNX1a3bfRtGnu8/XTesOmbdYbGHB/LlsWbfqrJD31lLvEXFAmc5YDe/Wvnca9UVAw3NXlPlau9L8Pz3oQbcqU7lU/0Da9SuXCP9duGNRrw7xI%2B0XtJQv6rNuVbaOTXFOoF2dOGoB4HHSU8fFxR5IzPj6ed1PgOM7IiOO4d16NHyMj6bzf/v2OUyqZvafJo7fXfc0khoYcp1AIfo9Vq/zfY2jIcXp6zNq5alXj92j0GBxs3vGU3Hb6Hdc0z5X9%2B93tBgfdYxPUjkLBcS67bOo%2Blkru8c/U0NDUN%2B7tnfrGYR9C0AFtZ9Uf8MiIPfvuXewmF2NPj%2BOsX593i5tncDD5F1JauKbgxzsvgq5fzouWRWxgH0bQgRw1O2MsSZ2meoVC8sEtk8LOQTWSymV3zXATa9Y0fo9GGg0GxFnGrJFGg4Zprsjk1Tc766zGWbWO4%2BiLX3S0Y0ftwWvKIJpppXTbRh7zZnNaclAKR2%2Bvmy7T03Pwud27pUsusaPdzWDT6CTXFPzEmZMGIBYCdCBHzbwnq1TMi8FdddXBmOiOO6RZs2p/39ubzpLPph0GO3b4B4RBhY/r/fa30dtmGvCWy8G1naJqtJS2yYpMN9wQ7d4o/PgXqh617yU1YUqsSaV05kUe1AppyX4dL9df7z52767d1qZ2Z82mNdG5phAksGhIg/95AYis4Dhxx5XQivbu3auZM2dqfHxcM0wXcUZmKhV3cGtszH%2BEt1Bw/7%2B3bVuyTunhYXek2nT0fGTEjYeq27l1q3s/Nm%2Bee4%2BYRif5unXuIJ8Jv2MRdvySKBTM7zcqFWnOnGhF4Kp1dbnF2UxW62r0Wc6fL33sY%2B5a5iafU5TjH6T%2BXEmq/lw78US3DkDguTc66o4SN7uhtvEuhqCLPK0vk7S1aruz4HWwSLVfaF7Q3qwAiGsKYbK6KUAuiA0slHOKPZqMeSb2CZqW6T2XdK5v2BzvPKeQmc6rbjTHOsq0VtNH1DnWQ0PJ3i/qZ7x%2BfTr7Eef4Zzkl1m/aebEYsk/Mi3Q1u6BFWlq13Vkxrb2QJa4poKMQG9iHFHcgQFqVq8NeJ4uMMe89b79d%2Buu/NhtdzmMKWZzlz%2BqzKoOOX/V01ihWrXIzcE2PuzePPq5Vq6J9xpWKOzXXRFiG8OTxl8EJEmDevOjXit/2QdnZ9a81ZZ%2BYF%2BlqdlpyWl%2BQpFPXMq29kCWuKQDIV949BGguesnM%2BA1ixKlcHeV10iq87PeeJo9mD9JUtzfK6HfQQFr98bvttubsf5JR6FIp%2Bucc9f3CBruGNux3Cqo4BVXq/rbiSBMHfga/7vr10a6VoGuiuzvhPtkw8pinZo5Ep/UF2ex2I5pOv6aADkFsYB8C9A7DRRguKGCMmnKe1uuk0fawx1VX5ZutODTkOPPnh7ezu9u8nab3/f39yTpETFdHSusciPN%2BDeObkRFnSGc4JT1aex%2Bu3ziX6fO%2BwXtBE5NLsEU5x%2BOen8b7ZOvyYs3QrLTktL/YSKe2WydfU0CHIDawD0XiOgyFIBpLq15RHnWPwt6zERtq/bz4olst/plngrfp7pZ27TI7ZiYF5EolN5s0yWdgWk%2BpWm%2BvW7S6pyd6jZ047ye52bLLlvn84kCluIqmaav6tFPzNE871aetKmpCwzpDy7VWO9R7sP0lRzesLmjFCvNzPMn5GWTgff%2Bh1Zc/ToEiT9ZFxrL6YrOlOBoAdCBiA/swBx2oktbyr3ksIxtnjfNmrtwT5p57GgfnklslfXTU7PXCliWTpN/9Trr7buMm%2BvLmcZtavdpdDu2SS%2BItVR1n3r7UYKm%2BA78oakKLtEVnab0kab3O0qjerSW6W49ogUa0SIM6RyOrfqBtjxQ0a1a0czzO%2BRlmzXdeq%2BHFN9qzznfesl4CKasvNpZuAgBgEgE6UCWtekV51D2K%2Blpxav2kVRfKj2n7zzrLPBbz7vu7uvx//9QeR/1LHQ1f86vYO1PdEWDiN79x9yHuUtUmHQ/VQjthqiL%2BYZ2hBXpEizWqc7ROizWqBXpEd2uJFpUe1rKhfi367EkqFqOf41nU%2BCrI0YDWqLJjZ%2Beslx0myyJjWX6x2VAcDQAACxCgA1UCRxkjbpfW60QR9bWiDk4ND7sDlXFGfU2Ytv%2Bpp6LFYkuWSC95if/vHBUkORpYOUOVV74q8s54HRb79kkf/rDZ39x%2Bu3/KvffcwEB4X0HQgGM9o06YAxH/sHOG%2BrVRO1T7omOar34NaXj1IzUni%2BnntWuXuz/m5%2BeE6YZyNE3bdbS26o/dJ0wOXicoFt05K8uWuT/TSv/P%2Bostq3YDANBCmIPeYZhn0ljYvOWoc9CTvk7abZ81y02xnj8/2rRdb4po/eumOUXUZM549fuaHj/TOdsjWqxFhS3GOzM87C6vVj0SPm2aNBEQX3rHf/dug7YY1gSoVNxs4p07pQcflL7xjdr29Pa6wXnY7lQq0oI5z2vHnpfIr9/W73hH%2BbxKpYNp/YHnpybUpT16iV7QWNV8dxODWqZlusP9hw0FFdpVHl9sAIBMERvYhxF0oEpay7/msYysyXvefLP0gQ9EG5zy1vlOOuobJkqqeJSprsZZuZrr/ofBzgSt2d0oOJfcY2/UFsM2Vw84XnmldOut0lVXuY9Nm8wzhLdulXbsOVxB/0vwO95RUu3HxqS/%2BIuDReqmnJ8H1mH/uv5av5mc775MqzUQ3nhJ81R1wDplvWxPlvNO6rE%2BNgAAmSNAB%2BqkVa8oj7pHWbxnMwvehc0Zr2cSixln5Wqn0c406rAI0tXl7teSJWbbP/ig%2BWtLB6cfnHKKdO217uO886YWwAuK5eJOLTZNtfeO1R13SOvX%2B5yfPfu0Uf0q667JYnXLdIcu1pdV0nYVGqS9F7VfuzXr4BNpzhuxXdbzTvxQ0A0AgEyR4t5hSGMxV50%2BHGUZrKxeJ6/3PLAKV6iBATd9Pg2bN7vBZhiTbObQrFxNqKQd2qZjVPQCwcA1yeIvc7ZqlfQ3fyMde2x4NfNXvELasMEs08F0%2BoFfSn5Xl/vcu96V7HhXKtKXvyytWGH2Gn19defniRUVj13g%2ByENy50b7z7r16c8oYKkjTpT5d6fdE56dTPmnTSSxxcbACB1xAb2IUDvMFyEiCpKQDo0lE5MkPZU18lllh3nQGG4A69zICD3Rm8nNYj8TTss/JRKbjB8553m269dG3xMTZelvv56N8U86Nu%2Bu9v9%2BdRT8Y%2B36XEJ7PtosBb2Rqess6etV2XCP%2BlrspNl/U9VPLMDRnCzWo8cANBxiA3sQ4o7gIairLudVhHttKe6Tmbl1q1XXtKO2uDcYGH4JBnUO3aYB%2BdS%2BNJrptMPPvGJxin5e/a4j6DgXAo/3okLfDdInZ616pOBwblUVc29pwOCc6m5804AAEBTEaADaKhYdEc8TXJt0owJ0p7qumSJdOutBV3V/391lf6rNulkbdMxtcG5FBqJRumwSMpx3EdQx4fp3PEnnzTbzm%2BfvPnzYcc77LgY9H0EroW987iTjNrfMfXhslyP3FQzi9MBANBBDsm7AQDsNjwsfelL5tunGROUy25gnXSqa%2B3869dL%2BlvdWvyo1lYuOhigl0pGa5J5o/v9/W7Q2YxJQl7HR33Wfdr10Pz2Zc8es79tdFwiZT14pemrZL38dsvJ%2B4D4FTQIm48BAACMMAe9wzDPBFGETXX1k%2Bcy1H51q%2B6%2BO6iWliM50saBH6q8pBI58veLUbLkV4TPZK6%2B6drrjXR3S7t2mc/3rz8upuuxB7F5%2Be1caqXleUDyLk4HAEgVsYF9CNA7DBchoohSIC7vulR%2BgeH8%2BdILLwSPAidtc3Vw9uCD0tVXm4%2Bor1rlVj43TT/v6XHfp76dDWqrSXKXNVuxInlHwpe%2BJB11lFkQmkXQGrafecSFuQ4k53FAKE4HAG2H2MA%2BzEEHEChqunqUwm1p8mKV%2BrhhbKxxinbSWlpeNvayZdJnP2u2Jrg3F/vKK93jZWr3bv92hs3V7%2B8/WHAviUsvNV9qu/q4mCwVZ8K25bcbnXONCvulJo8D0grF6ZgbDwBoccxBB9pI2iOXplNYe3qkm2/OJ7O1UnFHMZPkAsWdN19/vJcscR%2Bf%2B5y0cuXU7evnYocF86btDJurXy67I%2Blnny1NTER7Tz9eENrswDitmgRJNTrnHMf9nAcG3LZm2rZmHxAbitM1wtx4AEAbIEAHMtTM%2BalZ3Jt6lbmDprpKbnC%2BY4c0fXq890gqbFDPRJxaWo2O92c/Kx1/vP/vq%2Bdie8fXtP2zZ7s/68%2BrE0%2BU7rmn8XnW05NOcC41OQit41NDrumiDCRn3tZmHpC8i9M1EjQ3Pq/eJAAAYiJABzJiEjCnFcBndW9qUpn75pvzC86l5IN1oUt/%2BTA93mGDm8WiW/jtzDOjvXf9eVUs1mby%2BnXMpD2o2dQg1DK2DyRnJqzHzpuDHvWCSsqalAYAAJJjDjqQAZP5qcPD7lzexYvN5/b6Cbs3lYLX0TZh29zfekkH66LOm49yvE3mYr/iFebvff310tKlU8%2Br%2Bs/Wbx50VoOabReEGrB5IDlTXo%2BdNHXB%2B0hr6aWsFebGAwBgiAAdSJlJAPexj6VXYMr03vTLXz5YN%2BnFF6PVUSqXpUcecZdQGxx0f27bln9wLh0c1KuPF0ysWhV9H4xjgas3hx7c4WHprLPM3/s73zHbzq9jJslxaiRqENoONbxMjmVXl7tvrbh/DdnYY9exKQ0AgHbEMmsdhqUUshdlaTI/UVcqWrfOHYGPwiQluhnSTvGXzIvFlUpup4Pf%2BzVql%2BnxHtQyLdMdgQc3KE0%2BbdXr0m/caJpOP6EePalK4RA95bxC0tRINM6KWu1Uw8v0nGvV/QuVywLwAUy/dKsvBgCAJGIDGzGCDqQs6SBN1GzMOGm0JinRWUsrxV8KHtTzUyi4j7Vr/eOJsHYZpzfrwIngc3DTqDxvyjsfh4fd9dDNTNNuzT4QnPtznGjZzLkvS5Yy03OuVfcvVBZr6cUVltLgrW3Y7LnxAADEwAh6h6GXLHtJR9A9g4PuvW%2BYSsUNIBtVWjcRZ0Q0rqDRY%2B/%2BulGmbKOBu/rfPfmkG5RWB4W9vbWV1KO2a8mSxse7oAmVtEPbdIyKmjj4AlUHN61zxMTIiPTUU3FH6ycU1I/b3S3t2mV2rnjnaNDUgLBzz5rBWp%2BGVOR%2Bnmed5R5nP828tjpWUEqDyZcKAHQwYgP7MIIOpCytub6mI7WN6jZFkaSOUpR5xUmK2oWNbtcP6vX3186d37RJuuUWad%2B%2Bqe00bZfUoE7WgYB8jQYOBufeC1Qd3GZMhfUGDU88McloffD/IvbsMT9XktTwSjPTIpGAhhTvHlaxGBycS9Qoawob58YDABADATqQsqQBc5xszCgp3mGiBo9RA6i4wVpYivTGjf6dBF7Qfthh0nnnSaec4t/OKO0KjAW0QxvVr7Lu8n%2BRAwc3/eretdF3dUHte%2B6Js0682YLpadfmqt/OmrT4kIbsvPtfjV6GGmUZs7maJQAAhgjQgQzEDZiTrFRUf2%2B6enW0v/dECR7jBFBxgrWw0W3Hkc4%2BO7iTwKSdUdtVc7yv%2BrVGtEjbdExwcC5NHlwvyyItxbpv8upBw6hBoZsFYNazlPZyY9XbZb18oDGDhsy7/UtGL9V2y67ZyKa58QAAxECADmSkOoC77Tappyf8b%2BbPT5aNWX1vevHF0YLAqCP3cQOoOMFa2Oi2155qXvC9YYNZO2fPjt6uyeN99Wu1qPSwioWAPPK6g%2BtlWYRnWDgHHv4j2kdor1bpb/X8resDBw2jBoUl7dCG7gtU6n4%2BtZpbcWp4WbO0tUFD%2BnYPqdTzAjXKAABAYgToQIa8AG7%2BfGn37vDtb701vWzMYtGsyJwUb%2BQ%2BbgAVJ1iLkxrsBd8XXmjWTilBIehG8xoCDq6XZdHdHfx%2BBUmX6Qvqlv8E5%2Bd0hK7WKn172xsDBw1NaiL0zHJ022d%2BrZGrNmvbpv9U/66btPbrh0fZnYZMpn3Uv541S1sbvEFRE1r7gZ9ISud4AQCAzkWADjSBaRDxxBPpvWel4s7HNhGnjlLcACpGLBs7NdhxzDpGJPfYh7Xr%2BuvdDgffYngxilSVy24l9FWrpK4unz/bMKHr5t%2Bkl%2Bp3qp9nLknOga/wgW%2B8MTDVO%2Bx4FwrSzV8r6Oxr3iCdfLLWP7FIo1uLWrIkWc2t%2BsKB3uvV76fk/1za6fOxGb5BeUmFGmUAACAxllnrMCylkA/TZbVGRtwR0Ga%2B5%2BrVbjp81NE909fftMl97folsoaH3dRzkyXQ0lpKrhHv2Ae16%2Byz3WCz%2BvlSyQ1%2Ba9obc02woD8bveYHWrzyJOP2B/Hbr54e6Stfcd%2Bn/nfevi1ZEn13/N6rVHJH%2BL/4xanb%2B62EFfaZN23psogNsWZJOAAADBAb2IcAvcNwEeYjj2Bj3Tq3YFoYv/XWTYIMk33q6pJe8hJ3G091UBslmAla5thET4%2B7JrrpsfdbT/2ss%2BKt255Uks%2Bx3saN0ic%2BUZtV0N3tLplWL%2B6%2BNVpLvtHn5vc5WLO0tTUNAVJALxKAKsQG9iHFHWiCOGndScVNETZdNi1snxzHDfyqg3OptnJ6lILLQRnkjf7Gmzd%2B003B7ZSmHvvqdvX1SStWmBXDi7IevKm0Ur2Hh91OhvqUf7/gXIpXKd2kcGAQv5oF1ixtbU1DUpTFyQr7RV0XEwDQfA6ssWXLFue//Jf/4sybN8%2BR5Nx11101v//Qhz7klXSefJx66qmR3mN8fNyR5IyPj6fYcpgaGnKcUslbGMx99Pa6z6dt/373vQqF2vfzHoWC%2B97799e2z2/7QsF9%2BLXTb59mzXKcri7/9/UePT2Os29fvP0aGXGcwUH35/r1B9vXqM1xj/3ISOP98B6rVk19/VIp%2BWcb53MMeg2T/fB7jIyYtdX0WDV6DA76t7/6M2%2B0r5mypiEJ%2BV0MaZyssFucL3gAbY/YwD6H5Ng3gDrPPfec3vzmN%2BsjH/mIygEjMqeddppuueWWyX8fdthhzWoeUlAux5vTG4c3wt3fPzW92G/kOGz0s1BwR1OXLKltb7ksTUzUpk4/%2BWR4%2B3bvdgckv/a1qQOQL77ojno//LB07LHua0%2BffnC//OZaf%2BITte87a5b0gQ%2B4afaVitmx98v8NC2Gt3Ll1Oe8bIGkS%2BdF%2BRz9mCxT10gzK6p7mQBWZuEGnXytJGgOQhonK%2BwV9wseANB8efcQwJ8CRtCXLFmS6HXpJes8piPHpqOfmzZNff2g0V2TR/3AzWWXOU6xWLtNseg%2Bb7p/06ZFHxwMGlRctSrZiLDJCLeJJNkXg4PJ9qEZI%2BjVx6lVBnhbbkA9LJUirZMV9jG9OE0vdgBtg9jAPsxBbzGjo6OaPXu2Xvva1%2BrjH/%2B49gRNIAUOKJelRx5xq3wPDro/t22bOkhmOvp51lkHpys2GpSJwpvnfPnlbpXv%2BumwlYr7/OWX1z7vDQbWjw5PTNT%2Bu3reu5%2Bg1xkbk66%2B2i2k1mgd8UYcx389%2BKhMP0c/cZcia7j2uw%2BTNdeD3kdyMwHuvjv4s2j0GTZbS07lDUulSOtkhX2amQYDAEiEFPcWctppp6lcLuuYY47Rww8/rM985jN63/vep3vvvVfFgJS0ffv2ad%2B%2BfZP/3rt3b7OaC4uYZOaaBnFPPXUwE7arK1nqtHQwJti8Wbrhhsbb3nCDu2b4j3/sBmwDA2adA40yOE0yP6v/O25nRBr3vfWfo1fnKywN3AucoyxTF6d4oUk6/qWX%2Bi9Xt2aN%2B9ksWGB/Fm7LZokTpHWutKpNAgAyxwh6Czn77LP153/%2B53rTm96k008/Xd/%2B9rf1k5/8RKOjo4F/c91112nmzJmTj97e3uY1GC0lyuin40gXXOAG1mn5p38KLyRdqUhz57qjleeeazbX3RM0OGgyqLhnj9sxUF/EO4q073ujjOCarCLQ3V37fNwC5WEFz7/whamZAA89JM2cKZ13nv0DvCaV6qNUvm8qgrTOFfYFHzVdBgCQGQL0FvaqV71Ks2bN0kMPPRS4zRVXXKHx8fHJx/Y0Iyq0leogzsTu3dLFF6f3/s88Y7Zd0iSQsbHa1aXql4ELctxxBwPLiy4yf78s7nsbpeQHpYE3CpyHhqRdu%2BKlz/sJS8evXsbuqaeko46STjlFuu02s9fPc4C3pbPECdI6Vx5rfQIAYiHFvYXt2LFDe/bs0bwGox2HHXYYld4tZGWFah0M4s4/3w2cwoyPN/59oeAGhL/7XfB624WCGzM0a9BuxYratcBnzDD7u9mza1PM//7vzd8zzfveJMWYwyrZp1mg3GRaxfCwtHRp9NfOc4C3pbPE01gSAK3L%2B4Jfvtx/jomV8zIAoPMwgm6RZ599Vvfdd5/uu%2B8%2BSdK2bdt033336dFHH9Wzzz6ryy67TD/60Y/0yCOPaPPmzVqyZIle/epX69RTT8234YjE9uJS5bK0fn30vwsalFm7Vvr6191/Nxq4OfHE6O8ZR3VwLpmPyH/oQwc/I9PpAHHTxBtJOoJbPXq9aFF%2BsVilIn3yk9H%2BxoYB3pbPEg%2Bbg0CQ1t6SVJsEADQFAbpFfvrTn%2Bqtb32r3vrWt0qSLrnkEr31rW/VZz/7WRWLRf3yl7/Un//5n%2Bs1r3mNPvrRj%2Bptb3ubtm7dygh5C4mTmpyHRYuiV%2BOeNav239X3%2ByYxge3lER577OBn1Chb1LNqlXsfnPZ9b0uP4FbZutV8eoFkzwBvW2SJE6R1Nlt66QAAvgqOk3SBJLSSvXv3aubMmRofH9cM09xexFKfxn7iidKxxwaPfnqp3tu22XG/FFSpOshtt7kBeKO0/Uap/ZWKm0Zuklqfl/rPaHh4arZob2%2B22aKjo27WRZiRkXRT1tO2bp2bQWIq6%2BMahXdtSP5Z4gxEAwBaBbGBfQjQOwwXYXP4BW49PVPTq/2sXu0WX7MlSP/rvzarlp5GQHjNNdLKlfH%2Bdtq0qeufZ6V6X5tdT6BScadEBC2ZZltHTxDTjgbJrmvCk0fnDAAAaSM2sA8BeofhIsxe1JFnP6WSm0Jtw43%2Biy%2B67QnqXEgzIKxUpDlzggvKBb1/s7/FBgfd7NC8RBnBtbUgYaUivfKV4WnupZKbjW1Dm%2BvZemxhGU4UABYjNrAPc9CBFDWqsB2FTXPSp0%2BXbr45vMhbGvebxaJbUM5Po/W6BwaSv3cUeRcAM63zZXNBwmJRuvHG8O3WrrU3lmEqL0LZfBECAKzECHqHoZcsW1HSdsPYlqrczJTeRu/lt0zY1q3pHfdGmvmZmAy6NdomKJPDtnnSw8PSxz42NWuiu9vtrIncRkYrYYtWuQgBdDRiA/sQoHcYLsJsRS18ZcKmYl/NjH2ivFeUAnNdXbXbeSPyYWn1zbyn9uugiDLtwZun3ioFCSsVt3NrdNT996JFMUekkx44IC2tdhEC6FjEBvYhQO8wXITZMh1BnzXLrPCalP98Z1vVB/BbtkhXXx3%2Bd5s2uffD1YG/VPtau3dLl1ySTwGwNAbd2qXSeySMVsImHXkRAmhFxAb2OSTvBgDtxFsjOazC9kMPSTfdJK1YEf6aec93zpvfSPrdd08dKJ0/XzriCOnZZ/1fxzv2QSOz9ffI5fLU95WkzZtTGOn14Y0in3%2B%2B/7njOO4%2BDAy4af6N3rNd1ko31qj4Q5QDB6Sl4y5CAEBaCNCBFBWLbjZtf//U6uLVBdWmT3eXjbr%2B%2BvBg3gsMO5FfxnJ3t386%2BmOPBRfnqz72khsIh6XOewXAqttSP1f62msTzJWu4reffhxH2r7d7ThoNOhm2qnTNp0/W7c2PnimBw5IS8ddhACAtFDFHUiZaYVtL5iXsq%2BO3oq8jOX6uCtorrg3UNrd7R7rat6xl%2BIVVB4elpYu9X/vPXvc38Utyhy0n42EDbo9%2BWTj86ZQcFP2m9X542UHrFvn/qxU/J%2BLjdFK2MZLp6r/cvc0%2ByIEALQM5qB3GOaZNI9pkbNmVkdvFWH1lcL4zTO/%2B%2B54U5SzXK877n42mrYaNBW7WqHQvCnZQVkQUm2HR6Jabgnm%2B1L0HZnxLkbJP52KuggALEBsYB8C9A7DRWgnvyBBqn3uxBOle%2B7pjEAi6XJ19YX1khRUjtKWqPWeou5nWOFnk4B/2jT3%2BPzFX5i/b1wmnQWeRDGLt%2BNh80XqDhxF35E5emABWI7YwD7MQQcs4Dffuf6erlisTQNu50AiaSZy/bTOJFOUo7Qlarujbu840g03BHfMhO2nJE1MSBddJB16aLbnTqO6bX4S1XIzLf5QF5z7dR6MjbnPM7iJVJTL7glNmgYAwBBz0AHLBM1Jrp%2Bj6wUScec%2B2yxu3aSgaZ1JpihHaYvptt7861//2vy1PStWBH/mpvv55JPZnzsmnQX1qjtKIjMt/qDwou%2BS21GQaF484PF6YJctS2/ZBwBA2yJABywSZdSxnQOJsPpKfhoV1ktSULmvb2rM58e04v7w8MFCdddea9auatUdM/WF1mbPjvZaWZ47SbIgYv9tuewWAhgZcfP4R0bctPa6ofAoGRUAAADNRIAOWCTqqGO7BhImFe69QmMen4HSSUkKKheL0o03hrd57drwgbE4FdvreR0zH/vY1Ir0H/qQe1xMOjayPneSrB6VaOUpg9FKir4DAABbEaADFokbELRjINEoY3loSNq1K3SgdFLSJe3KZfc96zsFJPe5oaHw%2BcpR52Q34jhuBfT6QP%2Bxx9zno7xHVudO3CyIZqw8xRLVAADAVhSJAywSNyBo10AirL5SlIrpXsDvV7XbpKCy15bRUffhvb/plFLT7IirrnJ/xkl/9wqtdXW5P598Mvxvsjp3quu2mTDpKEmL13kQVvSdJaoBAECzscxah2EpBbuFrRZVL2zZLUyV17rX69a5qehhBgfddiVZZk6Svvc96QMfCA7Sm3XubNjgZpuHzXVv9qoELFENAACxgY1IcQcs0igVu14zRxzbSZSCyvVF2JIUVIuSVh0nPbzenj3S177mvkactP44/I5XT4/Zcbv11uYGxBGKvgMAADQNATpykWbg026CAof6QKqTA4lmnD/V1da9ImwLFsRfmixKobooHTVB5s1rbhAadLzuvtvs7594Ir22mDIs%2Bg4AANA0pLh3GBvSWIaH/ecBNzO9tRXUp2KfeKJ0zz3NT822TTPOHy/9uf7bMWn6c1Batae%2B2FzQvv7ud9JTTzWeP12dup51Wn%2Bj42X6f5iRkWg1BQAAQHI2xAaoRYDeYfK%2BCLMKfNAZmnH%2BeHUAGhV06%2B6W7rzTvEBcteFhd4m0PXtqn58xQ/rIR9xCdNUBtF9wfffd9syfNjlexaI0MWHeoQAAAJoj79gAUxGgd5g8L8KwG3lu1NFIs86f0VHzAm1xRu6DOhmivq7f6Hpvr1lF%2BmpJR9ejHK/6EXU65uyXV1FFAEBzEKDbhznoaJqwZaYcR9q%2B3d0OqNes8yfKuuBjY26wbTov3XQtdJPXTWP%2BdNC88Q0bzOf4mx6vgYH058JTyyJbaddhAAAA4VgHHU1jeiMfJUBCY%2B00%2BtWs8yfKuuDeuuMDA25qetixNV0L3fR1vYr0UXjnxN13u6Pt9XbskM46q/a5RiP6psdryRLpS19K73yklkW2gjI9vM4jsh4AAMgGI%2BhomijLTLUi20bz2mX0yzuuv/612fZJz5%2BoS5xFGbmP0nmQRUZJ9TnhF5wHaTSiH7U6vekSd414wWN9Z0fUjAb4a5Tp4T03MJD/dxwAAO2IAB1NE%2BVGvtXYFgy3SwBTfVyvvbbxtmmdP3GXODMJvuN0HpguUxYm6Jww0Sgoa3S8slhvneAxe0xHAgAgPwToaJpm38g3i23BcKsFMEGZB1EDSsdJ7/wJWj%2B8EZPgO%2BrovCTdfnvyz8p07nsjjYKyZq63TvCYPaYjAQCQHwJ0NFUzb%2BSbwcZguJUCmKDMg40bkweUSXlF2DZtkrq6greLMnJf3Ullavfu5J%2BV6dx3E0FBWRpF65K8f72xsXTft5O0%2B3QkAABsRoCOpmvWjXwzNCsYjjK/vVVGvxplHpx5ZryAMu3OkGJROvlk6RvfcAPxNDI/ymVp/fpoI/1JP6s0P%2Btdu4LPw7TmmDdiGhQODLTOVA7btPN0JAAAbEeAjlw040a%2BGZoRDEed394Ko18mmQdx1HeGpFW4L0rmh8l7zpoVrS1JP6u0PutiUVqxIt86C6bTBJ58srXqLdikXacjAQDQCgjQgQSyDobjzG9vhdGvNFOu63mdIWkX7jPJ/DB9zygdNml8VnHmvvup71TIo85C1CJ%2BNtVbaCXtNh0JAIBWUXCcPGd5otn27t2rmTNnanx8XDNmzMi7OS2vUnEDsLEx/5HfQsG9od22Lfpok/faQYFso9f2Anuptl1eQJP3Dfa6dW4Am4WREempp/zXcI66/1HWkQ9aN9rvPUdH3eDdxNBQ/M%2Bquv0PPiitXOm2x%2B9c9dZcf/JJd5S8%2BrwrFoOD3CTneBLDw9IFF7hz9MOMjERfLx6uKNcAAKD1EBvYhwC9w3ARpi%2BrYNg0iAsKPoaH3TTy6kCrt9dNTc179CtKgBoUUPrp6XH399hj43VsVPM7fqWSO3pbf/yidqaEdexI7nZ33HHw3IrKr/3d3e7PPXsOPud3TlQHZbt2uQF7mDyC4Ntvl849N3y7wUF3Og0AAKhFbGAfUtyBhLJKBU06v93mYnymafjr10db6uwrX5HuuSd54b6oUwuiFgs0SdNety5ZcO7X/qeech%2BrVjU%2BJ6prRMyZY/aeeRQdND03qDYOAABaBQE6kIIsguE05rfbWozPtAjVmWcePK4DA41f87LL3O2TdmzEWTovznsGdez09rpp7Weeafaa9Uza/81vSmedZXZO2Fx0sBXqLQAAAERBgA6kJO1guN2DD9PMA%2B%2B4rl7tBq6lUu32PT3Shg3SF77g/jtpQBln6by475lFx07aS//ZfB5SbRwAALSbQ/JuAAB/XvDR3z91HnZ98NGqhZzKZbcwmWnbTbb3Asqwwn1BAWWc0fAk7%2Bl1QKQl7aX/opyHefA6evzqBdhQbwEAACAKAnTAYibBR5RiZjaKGqCGbZ80oIwyGl7dMXL%2B%2BdLVV%2BcfxGaRkm57EBy1owcAAMBWVHHvMFRqbE1BI%2BRRlvayVVaj/3Gr2JsunXfDDVOXIzOtkp6lrJf%2BIwgGAKB9EBvYhwC9w3ARto8k66TbIuvR/7gBZdjSeZdeKn3pS/4dI47jVkk/7rj8gtislv4DAADthdjAPgToHYaLsH0kXSc9jjRHUG0f/Q8agb/%2BeumSSxoXYuvtzb9jJG4GAQAA6BzEBvYhQO8wXITtY9066ZxzwrcbHHQryyeV5mh3q4z%2B%2B3VIbN2arGOkmWnipKQDAIBGiA3sQ5E4oEU1c33qoNHusTH3%2Baij3VGWAkuzwnlUfgXpTKuf33331L9tdkG/tCvEAwAAIFusgw60qGatT12puEGlX66N99zAgLudqbSXAmsm0w6P22%2BvPSZeJ0d9x4TXyTE8nF4bAQAA0JoI0IEW5S0nJk0N0tNc2ivKaLepZo7%2Bp62vT5o1K3y73bsPHpMsOjkAAADQfgjQgRbmrU89f37t86VSbdp5peIWlVu3zv2Z92h3s0b/s1AsSueea7atd0yy6OQAAABA%2ByFAB1pcuSw98ohblGxw0P25bdvB4Hx42C3ItnixW1Ru8WL336Yp1VmMdjdr9D8rS5aYbecdk1ZO6QcAAEDzEKADbcArBrZsmfvTC2zTmPec1Wi36ei/jaIek1ZO6W95SdJHAAAAmoxl1joMSyl0jjSXMvMCfal2HnUaa5a36lJgUY6J91mMjfnPQ7dlWbm20%2Byy%2BQAAtBhiA/swgg6kzJYBuzTnPWc52h00%2Bm%2B7KMek1VP6WxJl8wEAQAtiBL3D0EuWLZsG7Natc%2BechxkcdINjE6062p2lKMfE7/zo7XWDcwZ0U5Rm%2BggAAG2M2MA%2BBOgdhoswO96AXf0VlUYaeByjo25BuDAjI%2B7INZqDTo4m4OQHAMAIsYF9Dsm7AUA7CFvnulBw17lesqR5wZhXyCxs3rONS5m1My%2BlHxmibD4AAGhRzEEHUmDjOtfMe0bHomw%2BAABoUQToQApsHbBr5aXMgNiyWhsQAAAgY6S4AymwecCuXHZT65n3jI7hpY/097vBuN86eKSPAAAAC1EkrsNQCCIbrHMNWIiy%2BQAANERsYB9G0IEUMGAHWIj0EQAA0GII0IGUePO9/dZBZ8AOyIlB2XyWvgMAALYgQAdSxIAd0Fr8suBLJTcjhk41AADQbMxB7zDMMwEA1/CwOy2l/v%2BC3rQUVjoAALQ7YgP7sMwaAKDjVCruyLlfF7X33MCAux0AAECzEKADADrO1q21ae31HEfavt3dDgAAoFkI0AEAHWfnznS3AwAASAMBOgCg48ybl%2B52AAAAaaCKOwCofZfaatf9Sqqvz63WPjbmPw%2B9UHB/39fX/LYBAIDOxQg6gI43PCwtWCAtXiydc477c8EC9/lWZsN%2BVSrS6Ki0bp3705aia8Wiu5SadLBqu8f795o1dGYAAIDmIkAH0PKSBIHeUlv1BcPGxtznWzVIt2G/bOggaKRcdpdSmz%2B/9vlSiSXWAABAPlgHvcOw1iHazfCwu1xWdSBaKrmjo2EBVqXiBoxB1by9NOdt21prJNWG/WqlNcaZBgAA6FTEBvYhQO8wXIRoJ0FBoGdgQFqyJDjgGh11R3XDjIxIixYlaGiT5b1fNnQQAACAcMQG9iHFHUBLqlTckfNGXYxr1jROq27Xpbby3i/WGAcAAIiHAB1ASwoLAqsFzbtu16W28t6vvDsIAAAAWhUBOoCWFCW480bZBwZqC8h5S23VV/H2FApSb2/rLbWV937l3UEAAADQqgjQAbSkqMGdX1p1uy61lfd%2B5d1BAAAA0KoI0AG0pLAgMEj9yHu7LrWV537l3UEAAADQqqji3mGo1Ih24lVxlxoXi6sWVLm8XZfaynO//JbA6%2B11g/NW7fjoeO16oQBAhyI2sA8BeofhIkS78QsC/bC0Vz6I59qI38VWKrnpEvS4AEBLIjawDwF6h%2BEiRDvygsC773ZHZwuF2hF1L626lVPWgVx56Sr1twxcXADQ0ogN7MMcdAAtr1h009ZXr5aGhtpvPjmQq0rFHTn3688PWiIBAADEckjeDQCANJXL0pIlpFUDqdm6tfEckuolEvwKPAAAAGME6ADajjeiDiAF9UsfJN0OAAAEIsUdAAAEmzcv3e0AAEAgAnQAABCsr88t5FC/qL2nUHDXz%2Bvra267AABoQwToFvnBD36gP/uzP9NRRx2lQqGgf/7nf675veM4%2BuxnP6t58%2BbppS99qU455RQ9%2BOCD%2BTQWANAZikV3KTVpapDu/XvNGgo9AACQAgJ0izz33HN685vfrK985Su%2Bv//CF76gG2%2B8UTfffLN%2B/OMf62Uve5lOPfVUvfDCC01uKQCgo5TL7lIILJEAAECmWAfdUoVCQXfddZdOP/10Se7o%2BVFHHaVPfepTuvTSSyVJ4%2BPjmjNnjm699VadffbZRq/LWocAgNgqFZZIAIA2QmxgH6q4t4ht27bp8ccf1ymnnDL53MyZM/WOd7xD9957r3GADgBAbCyRAABApgjQW8Tjjz8uSZozZ07N83PmzJn8nZ99%2B/Zp3759k//eu3dvNg0EAAAAACTCHPQ2d91112nmzJmTj97e3rybBKhSkUZHpXXr3J%2BVSt4tAgAAAPJHgN4i5s6dK0natWtXzfO7du2a/J2fK664QuPj45OP7du3Z9pOIMzwsLRggbR4sXTOOe7PBQvc5wEAAIBORoDeIo455hjNnTtXmzdvnnxu7969%2BvGPf6yFCxcG/t1hhx2mGTNm1DyAvAwPS/390o4dtc%2BPjbnPE6QDAACgkzEH3SLPPvusHnroocl/b9u2Tffdd5%2B6urp09NFHa2BgQNdee62OO%2B44HXPMMfrbv/1bHXXUUZOV3gGbVSrS8uWS37oRjuMupzwwIC1ZQlFoAAAAdCYCdIv89Kc/1eLFiyf/fckll0iSPvShD%2BnWW2/V5Zdfrueee04f%2B9jH9PTTT%2BuP//iP9d3vflcveclL8moyYGzr1qkj59UcR9q%2B3d2OItEAAADoRAToFlm0aJEaLUtfKBR0zTXX6Jprrmliq4B07NyZ7nYAAABAu2EOOoCmmDcv3e0AAACAdkOADqAp%2BvqkUsmda%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%2B3bNmDEj7%2BYAkzg3YSPOS9iKcxOmHMfRM888o6OOOkrTpjH72QaMoHeYadOmqVQq5d0MWG7GjBn8Dx1W4tyEjTgvYSvOTZhg5NwudJMAAAAAAGABAnQAAAAAACxAgA5g0mGHHaaVK1fqsMMOy7spQA3OTdiI8xK24twEWhdF4gAAAAAAsAAj6AAAAAAAWIAAHQAAAAAACxCgAwAAAABgAQJ0AAAAAAAsQIAOdKAf/OAH%2BrM/%2BzMdddRRKhQK%2Bud//uea3zuOo89%2B9rOaN2%2BeXvrSl%2BqUU07Rgw8%2BmE9j0THCzsvzzjtPhUKh5nHaaafl01h0lOuuu05vf/vbdeSRR2r27Nk6/fTT9cADD9Rs88ILL%2BjCCy9Ud3e3jjjiCC1dulS7du3KqcXoBCbn5aJFi6Z8b15wwQU5tRiACQJ0oAM999xzevOb36yvfOUrvr//whe%2BoBtvvFE333yzfvzjH%2BtlL3uZTj31VL3wwgtNbik6Sdh5KUmnnXaadu7cOflYt25dE1uITrVlyxZdeOGF%2BtGPfqR/%2BZd/0e9//3v9yZ/8iZ577rnJbVasWKFvfetb2rBhg7Zs2aLHHntM5XI5x1aj3Zmcl5J0/vnn13xvfuELX8ipxQBMsMwa0OEKhYLuuusunX766ZLc0fOjjjpKn/rUp3TppZdKksbHxzVnzhzdeuutOvvss3NsLTpF/XkpuSPoTz/99JSRdaDZdu/erdmzZ2vLli066aSTND4%2Brp6eHg0ODqq/v1%2BS9B//8R96/etfr3vvvVfvfOc7c24xOkH9eSm5I%2BhvectbtGbNmnwbB8AYI%2BgAamzbtk2PP/64TjnllMnnZs6cqXe84x269957c2wZII2Ojmr27Nl67Wtfq49//OPas2dP3k1CBxofH5ckdXV1SZJ%2B9rOf6fe//33N9%2BbrXvc6HX300Xxvomnqz0vP7bffrlmzZun444/XFVdcoeeffz6P5gEwdEjeDQBgl8cff1ySNGfOnJrn58yZM/k7IA%2BnnXaayuWyjjnmGD388MP6zGc%2Bo/e973269957VSwW824eOsTExIQGBgb0rne9S8cff7wk93tz%2BvTpevnLX16zLd%2BbaBa/81KSzjnnHL3yla/UUUcdpV/%2B8pf69Kc/rQceeEDDw8M5thZAIwToAICWUD294k1vepNOOOEEHXvssRodHdXJJ5%2BcY8vQSS688EL96le/0g9/%2BMO8mwJMCjovP/axj03%2B95ve9CbNmzdPJ598sh5%2B%2BGEde%2ByxzW4mAAOkuAOoMXfuXEmaUn14165dk78DbPCqV71Ks2bN0kMPPZR3U9AhLrroIn3729/WyMiISqXS5PNz587Viy%2B%2BqKeffrpme7430QxB56Wfd7zjHZLE9yZgMQJ0ADWOOeYYzZ07V5s3b558bu/evfrxj3%2BshQsX5tgyoNaOHTu0Z88ezZs3L%2B%2BmoM05jqOLLrpId911l77//e/rmGOOqfn92972Nh166KE135sPPPCAHn30Ub43kZmw89LPfffdJ0l8bwIWI8Ud6EDPPvtsTe/5tm3bdN9996mrq0tHH320BgYGdO211%2Bq4447TMccco7/927/VUUcdVVNRG0hbo/Oyq6tLq1at0tKlSzV37lw9/PDDuvzyy/XqV79ap556ao6tRie48MILNTg4qLvvvltHHnnk5LzymTNn6qUvfalmzpypj370o7rkkkvU1dWlGTNm6OKLL9bChQup4I7MhJ2XDz/8sAYHB/X%2B979f3d3d%2BuUvf6kVK1bopJNO0gknnJBz6wEEYZk1oAONjo5q8eLFU57/0Ic%2BpFtvvVWO42jlypX6%2Bte/rqefflp//Md/rJtuukmvec1rcmgtOkWj8/KrX/2qTj/9dP385z/X008/raOOOkp/8id/ov/6X//rlIKGQNoKhYLv87fccovOO%2B88SdILL7ygT33qU1q3bp327dunU089VTfddBMp7shM2Hm5fft2nXvuufrVr36l5557Tr29vTrjjDN01VVXacaMGU1uLQBTBOgAAAAAAFiAOegAAAAAAFiAAB0AAAAAAAsQoAMAAAAAYAECdAAAAAAALECADgAAAACABQjQAQAAAACwAAE6AAAAAAAWIEAHAACpufrqq/WWt7xl8t/nnXeeTj/99NzaAwBAKyFABwAgJeedd54KhYIuuOCCKb%2B78MILVSgUdN7/397dhUS5LXAY/48mYjU6YVJjOTaWlUlU0geaIESRNBlEmETR11ChRmFIZaUoVgomWRTUjQ1Zm8k%2BvKiIyLAiKw2KkIggkwbC6K4QM0vnXBwa9lRb9unobm15flcz612z3vXOjT7M18aN//zGvuPxeGS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     },
     "metadata": {
      "image/png": {
       "height": 800,
       "width": 1000
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure(1000x800)"
     ]
    }
   ],
   "source": [
    "#NEW {Matplotlib interaktif modu için:}\n",
    "mplot.pyplot.ion!\n",
    "\n",
    "# Veriyi [:kitle-etiketi (iyi/kötü huylu, ikilik),\n",
    "#         [:ortalama yarıçap (mean-radius),\n",
    "#          :ortalama doku (mean-texture)]]\n",
    "# yapıya şekillendiriyoruz. Artık biliyoruz ki, etikete göre\n",
    "# filtre, grup, sınıflama yapabilir, veriyi yönetebiliriz.\n",
    "targetLocationData = map tuple' (cancerData !! 1) (map (xs -> (take 2 xs |> list)) (cancerData !! 0)) |> list\n",
    "\n",
    "# Matplotlib temel ayarları:\n",
    "fig = plt.figure figsize: [10, 8]\n",
    "# ___________________???\n",
    "ax = fig.add_subplot 111\n",
    "# Meraklısına, ileri okuma:\n",
    "# https://matplotlib.org/3.5.0/api/figure_api.html#matplotlib.figure.Figure.add_subplot\n",
    "\n",
    "# Grafiksel veriyi kırmızı ve mavi ayrımıyla tasarladığımız için,\n",
    "# Kırmızı: Kötü Huylu (Malignant)\n",
    "redDots = targetLocationData |> filter (x -> (x |> head |> == 0)) |> list\n",
    "# Mavi: İyi Huylu (Benign)\n",
    "blueDots = targetLocationData |> filter (x -> (x |> head |> == 1)) |> list\n",
    "\n",
    "# _______________________________________ ..'den şeklinde okunabilir.\n",
    "# Yardımcı bir fonksiyon: Noktalar verisi -> x, y kordinat ikilisi veri listesi\n",
    "\n",
    "# ________________________________________________________________________________________________liste yap\n",
    "# __________________________________________________________________________Veriyi dikeyde eşle\n",
    "# __________________________________________________________________liste yap\n",
    "# __________________________________________________________noktalar\n",
    "# __________________________________X_'den, ikinci verisine\n",
    "# _____________________________Her birisi için\n",
    "# _________________________..'den\n",
    "# ____________________argüman\n",
    "getLocationFromDots = dots -> (map (x -> x |> tail |> head) dots |> list |> (xs -> (zip *:xs)) |> list)\n",
    "\n",
    "# _________*: veriler liste olarak saklanıyor, onları açmak için.\n",
    "# ____________verilerden x, y değerlerini hesapla.\n",
    "ax.scatter *:(getLocationFromDots redDots) c: 'r'\n",
    "# __________________________________________c: bildiğiniz renk parametresi.\n",
    "ax.scatter *:(getLocationFromDots blueDots) c: 'b'\n",
    "\n",
    "# Aşina olduğunuz gibi, x, y düzlemlerini\n",
    "# isimlendirmek için:\n",
    "ax.set_xlabel \"Mean Radius\"\n",
    "ax.set_ylabel \"Mean Texture\"\n",
    "\n",
    "# Tabi ki grafiğin gösterilmesi için.\n",
    "# Argümansız çağırımlarda `!` sembolü kullanılıyor.\n",
    "fig"
   ]
  }
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