{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialize hikyuu_2.7.3_202601230127_RELEASE_macosx_arm64 ...\n",
      "2026-01-23 01:30:12.536 [HKU-I] - current python version: 3.12.7 (main.cpp:74)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2026-01-23 01:30:14,069 [INFO] runing in interactive session [<module>] (/Users/fasiondog/workspace/hikyuu/hikyuu/__init__.py:145) [hikyuu::hku_info]\n",
      "2026-01-23 01:30:14,069 [INFO] running in jupyter [<module>] (/Users/fasiondog/workspace/hikyuu/hikyuu/__init__.py:152) [hikyuu::hku_info]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2026-01-23 01:30:14.073 [HKU-I] - 插件路径: /Users/fasiondog/workspace/hku_plugin/hikyuu_plugin (StockManager.cpp:113)\n",
      "2026-01-23 01:30:15.220 [HKU-I] - Using CLICKHOUSE BaseInfoDriver (BaseInfoDriver.cpp:57)\n",
      "2026-01-23 01:30:15.241 [HKU-I] - 加载市场信息…… (StockManager.cpp:755)\n",
      "2026-01-23 01:30:15.249 [HKU-I] - 加载证券类型信息…… (StockManager.cpp:773)\n",
      "2026-01-23 01:30:15.255 [HKU-I] - 加载证券信息…… (StockManager.cpp:653)\n",
      "2026-01-23 01:30:15.342 [HKU-I] - 加载权息数据…… (StockManager.cpp:792)\n",
      "2026-01-23 01:30:15.501 [HKU-I] - 加载板块信息…… (StockManager.cpp:182)\n",
      "2026-01-23 01:30:15.690 [HKU-I] - 加载K线数据…… (StockManager.cpp:186)\n",
      "2026-01-23 01:30:15.691 [HKU-I] - 预加载 day K线数据至缓存 (最大数量: 100000)! (StockManager.cpp:237)\n",
      "2026-01-23 01:30:15.691 [HKU-I] - 0.46 秒数据加载完毕. (StockManager.cpp:193)\n",
      "CPU times: user 1.33 s, sys: 236 ms, total: 1.57 s\n",
      "Wall time: 11.8 s\n"
     ]
    }
   ],
   "source": [
    "%time from hikyuu.interactive import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "k = get_kdata('sh000001', -100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "with open(\"temp\", 'wb') as f:\n",
    "    pickle.dump(k, f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "hku_save(k, \"temp\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "k2 = hku_load(\"temp\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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Xcep7DQBITgRnAIAkab/99pMxRg8++KC2b99eZ/2aNWvUrl077b///g1+7s2bN+vtt9/W6aefHlp24IEHqn///vrHP/4Rse0zzzyj/fffP/Q6p556qhYvXqzKysqIbdq2bauTTz45tM2aNWu0cuXK0DYff/yx1qxZo1NPPVWSdPLJJ6tNmzYRr1dVVaX/+7//C20Tb5kSzRijTZs2aciQIfrNb37ToMf6fL6YFwAuvvhiFRcXR9yCfd2D2rRpo6qqKm3YsEGLFi3S5Zdfrt/85jc69NBDdcYZZ4QGNFu9erW+/PJLfffdd/r3v//dqP3s2bOnJEW0XGiI1atXR7198803Ubfff//9QwN4HXHEERowYIAeeOCBUBP9F198MTSq+GWXXdbg8gQHXgvuFwAgddBUGwAgyQ76dO+99+qiiy7SsGHDlJeXp8GDB2v79u16+eWXdd999+mWW26pM0VSPF555RX169evzkBiM2bM0KWXXqopU6boZz/7mV566SU988wzeuKJJ0LbTJ06VU8//bTOOecc5efna8OGDZo2bZquuOKK0IBVF154oWbOnKmf//znmjlzpvbaay/99re/1UEHHRSaQqtfv3667LLLdNNNN6lDhw4aOHCg/vrXv+rHH3/U1KlTG1SmxgoEAgoEAhHLKioqJElffPFFzCbJvXr1ihiwbMuWLfruu+90ySWX6MYbb9Q///nPPS6bZAc9q12G8GnAgvbdd1+tWrVKzz33nC644AJVVVXpxBNP1I8//qiuXbuqpKREp556qoYPH67+/fvrggsu0IsvvhiqjY5XcJTx4uJi7bfffg3en+zs7Jjroo2qfdlll+mxxx5T586ddd555+nOO+/Uscceq9LSUuXn52vhwoW67rrrtHjxYp111llatGiRXnzxRX3++ed1auajWb16tTp37qysrKwG7wsAIMFafupoAEAye/vtt825555revfubdq3b2/23Xdfc+KJJ5olS5ZEbDd9+nQjyaxfvz7q84wYMcL07dvXGGPMlVdeaSZPnhx1u/vvv98ccMABpkOHDmbgwIHm4YcfrrPNG2+8YY444giTkZFh9t13XzNlyhRTVVUVsY3f7zejR482nTp1MpmZmea8884zpaWlEdts377d5Ofnmx49epiMjAxz5JFHmv/+97+NKlPQ+vXrjSTz6KOPxtwmKHjMGnp76KGHIp5n69at5osvvjCPPvpo3M/x5ptvGmOM2bx5s/nkk0/MhAkTTP/+/UPPefbZZ8d87NFHHx3x2osWLTKXXnqpad++vTn77LPN888/bw488EBz9tlnmwceeMBkZmaakSNHmvLyclNVVWVOP/1007FjR/OPf/yj3mMUbvfu3aZ79+5mxowZDXrcokWLjNMpzqxZs0LvzXCvvPKKeeqpp8z27duNMcZs2bLF/PKXvzQZGRmmb9++5vnnnzfGGPP555+bAw880Hi9XjN8+HBz/PHHx1Wu0047zZx//vkN2hcAQHJoY0wKDREKAABCysvL6/TZjqVv377q2LGjvvzyS+23335yuVy68cYb9fvf/16S7b/bo0cP/fnPf4543B133KG33norNKq23+9XTk6Ojj/+eE2aNEkjRoyQJH3zzTfy+/0aM2aMxo8fr5tvvjnUbHvnzp361a9+pRNPPDHUAiBekydP1htvvKEVK1bE/ZitW7dq06ZNMUfVrqys1Pbt29W1a1fH5zHG6LLLLlNOTo4mTJgQUfu+efNm3XzzzSosLNTcuXP185//3PG5vv/+e/Xq1UtPP/20xowZE/e+AACSA8EZAIBWZvfu3WrbNnKYk23btqlt27ahUc+d7Ny5U+3bt4+6bseOHerQoUOTlFOyg9YdeOCB+uCDD0JNt1PRfffdp7lz5+qTTz5hcDAASEEEZwAAkNQmT56sb7/9Vk8++WSii9IoVVVVOvDAA3XffffpzDPPTHRxAACNwKjaAAAgqd1+++36+OOPtWrVqkQXpVHmz5+vkSNHEpoBIIVR4wwAAAAAgANqnAEAAAAAcEBwBgAAAADAQbtEF6Cp7N69W19++aUyMzMZrRIAAAAAWhFjjLZs2aLevXvXmTmiKaRNcP7yyy/Vp0+fRBcDAAAAAJAgGzdu1H777dfkz5s2wTkzM1OSPVCdO3dOcGkAAAAAAC1l8+bN6tOnTygXNrW0Cc7B5tmdO3cmOAMAAABAK9Rc3XYZHAwAAAAAAAcEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMABwRkAAAAAAAcEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMABwRkAAAAAAAcEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMBBo4PzhAkTNHLkyND91157TYcffrg6deqkn/70p3rhhRciti8sLFS/fv3kdrt15pln6uuvvw6t2717t6ZOnap99tlHXbt2VX5+vnbt2tXYogEAAAAA0GQaFZzfeustPfTQQ6H7n3/+uUaNGqWLL75Yn3zyifLy8nTOOefo448/liS9++67uuqqq/SXv/xFH330kXbs2KFx48aFHv+Xv/xFCxYs0CuvvKIlS5Zo0aJF+vOf/7yHuwYAAAAAwJ5rY4wxDXnAjh07NHToUHXr1k1t27bV66+/rltvvVWvvPKKli5dGtrulFNO0bBhw3Tbbbfp0ksvVZs2bTRv3jxJ0hdffKH+/fvr888/14ABA9SvXz/NmDFDl112mSTpscce00033SS/3x93uTZv3iyPx6Py8nJ17ty5IbsEAAAAAEhhzZ0HG1zjPHPmTA0dOlQnnHBCaNkFF1ygu+++O2K7Nm3aaNu2bZKkZcuW6dhjjw2t69u3r7KysvTuu++qrKxMX3zxRcT6o48+Whs3blRZWVmDdwgAAAAAgKbUoOC8evVq3X///frLX/4SsXzgwIE67LDDQveLi4v12muvhcL1pk2blJWVFfGY3r17q7S0VJs2bZKkiPW9e/eWJJWWlsYsS1VVlTZv3hxxAwAAAACgqcUdnI0xmjBhgmbMmKEePXrE3O6bb77R6NGjlZubq1GjRkmSKisrlZGREbFdRkaGtm/frsrKytD98HWStH379pivM3PmTHk8ntCtT58+8e4KAAAAgGRTVZXoEgAxxR2c//a3v2nnzp26+uqrY27z/fff6+STT1ZlZaUWLlyoNm3aSJJcLlcoIAdVVVWpY8eOcrlckhSxvup/H5qOHTvGfK0bb7xR5eXlodvGjRvj3RUAAAA0tX79pE8+SXQpkstHH0lbt0Zft2uXtHJly5YnGR12mPT66/b3s86SXnopocVJuJUrpaeeir7usMOkV16J/dgNGySvt1mKhQYE5yeffFIrVqxQ165d1aVLF91xxx1666231KVLF/n9fn3zzTcaMWKEysvL9eqrr0Y0vc7KyqrTX7m0tFRZWVmh7cLXB5to127eHS4jI0OdO3eOuAEAgCjWr5fOPFPyeKT+/aWZM6Xdu2vWFxXZEzKXSxo6VHr33Zp11dXS9OmSzyd17SqNGSN9+WXNemPs+p497fqrr5bCL5avWycdf7x97kGDpFrTVYY8/rgUNs2lJGnbNumaa6RevaQePaTx46Xy8pr1H35oH5OZKQ0cKD3yiPNxKCy04c7ttscjbGrMOk47TWrTpv5bu3bOrxm0c6d0yCHSjBnR1zdm/ysrpUmTpH32seunTbN/j1heeknKzpY6dpSOO05as8Yu37Ah9v698Ub05zr/fOmYYyJvX30ljRtXd/k//1n/8Vm3zv5dggGqtiuuiH3sJGnChLrHL973XtCf/yz17Ws/J6NHR77Pw82cad9H8bjiCum552rub9ggLVwo/fKX9jkuu0z69tv6n6cxx2f7dunyy+3nY999pdtvj1z/5pvSkCH2+AwbJr3/fuzXN0a65Rb7Puvc2b7e/8YykmT3YexYG9qysqTrr3euPX7rLSlal8yyMmmvvWI/Lpb//ldq29Ye32hlP+kk6X+DFIfU9/0xZ450wAF2f088UVq9OvbrL15c97Nz3nk16198UfrpT6VOneyxXrYs9nO9/LL0i19IDz9stw8+X+3yv/uu9NprsZ/nwgtjf647dYr9uEDAfs+73fbzUN/3alC077BwTz1lXzvc229L++8vde8uPfhgzfKdO6UBA5yPeSKYOJWVlZn169eHbpMnTzZHHHGEWb9+vdmyZYvJzc01+++/v9m4cWOdx15yySXmsssuC91ft26dkWTWrVtnjDGmT58+Zt68eaH1jzzyiPH5fPEWzRhjTHl5uZFkysvLG/Q4AADSWlWVMQcdZMzYscZ8/rkxS5YY0727MXPn2vVbthiz777G/O53xmzYYMxvf2uM12vM5s12/W23GdOvnzFLlxpTUmLMGWcYM3y4Mbt32/V/+pMxPXoY89prxnz4oTEDBxpzww123a5dxhxyiDHjx9vnvvdeY1wuY/73/z9k6VJj9t7bmBEjIpdfeaUxQ4cas3y5MStXGjNsmDE//7ld9913ttxTp9rn+/vf7XP/61/Rj8OyZXb9M88Y89lnxpxyir3FsmuXMTt32lvfvnbfgvfPOsuY+fPt79XV8f0dbrvNGMmY6dPrrmvM/htjTF6ePd7Llxvz1lv271pQEP31v/jCGLfbrl+/3phx44zJzrb7uWuXMd9+G3kbN86+9s6d0Z/v+eeNeeqp+G5r1tR/fE4+2R6f116ru+6uu2IfO2OMefNNY9q0iTx+8b73gp5+2pjMTGP+7/+MWbvWmPPPr/v3MMZ+hjp2tO+J+nzyif27rlljP4N7721Mr172dcaNs++peDXm+PzqV8bk5hqzapUxL79sTJcuxjz5pF33zTfGeDzGTJxoy/fXv9r7fn/013/gAWM6dTLmH/8wprjYmFNPNWb06Jr1J51ky7hqlTFvv23MAQfYz2Ysp55qzIIF9vfcXLtfu3bZY/P++zWftVjvv3A7dtjjK9n3drhdu4y59lq77tFHa5bX9/1RWGhM167GLF5s3w9XXGG/Bysqopfhjjvsd2P4Zyj4Hbphg33uO++0v99xhzH77GNMIBB7n2bNsp/3ykpjtm+339+PPmqP1csv2+fv37/m7xm0fr0x3brVHJcVK+z3cfjtvvvs88ZyxhnGnH663e+//92YDh3s39RJrO+woO+/t/8nakfPQw815pFH7HdYt252v4wx5qGHjLngAufXjKK582Dcwbm26dOnmxH/Ozh33HGHycjIMO+884759ttvQ7ctW7YYY4x56623TEZGhlm4cKFZu3atOf30083pp58eeq7bb7/d9OvXz7z33nvmgw8+MP369TN/+tOfGlQegjMAAFG88YYxGRmRJ3x//KMxRx9tf3/kEXtCGAzCu3cbM2CAMQ8/bO8PGGC3CSottSc/n31mT0q7d7cnmUGFhcaceKL9/dVXbVjburVm/fHHG/P739fcnzHDnlQeckjkSdeOHXb5q6/WLHv7bWP22sue9D32WGS5jTHmqquMufji6Mdh3DhjLr205v6GDTZsrV0bfftwffsa8/HHNffPPtuYxx+v/3FBa9YY07u3PbmvHW4au//ffWdM+/Y2MAfNnGlMWEVFhJtvjnz+bdvsie5//lN32/fes++ZeILd0Ufb90O02w8/1P94Y+zf8rjj6gbD8nJjzjvPnlD36RM9OFdVGfOTnxhz7LGR+xfPey/cL39pzLnn1tz/6CNbnh9/jNzuxBNtWeMJzpdeat+T69fbv1swSI0aZUxYhVG9GnN8Kirs+yd8+1tuscfJGGPuvtsGr/ALP6eeasy0adHLcMghkceutNR+ftassWFbirwo8cQTxmRlxd6naMF51aro76P334/9PMYY84c/1Byf8OC8aZP9m/frZy8ahAfn+r4/TjjBfmaCduywn5eXX45ehksvNWbKlOjr/vGPmjAbtM8+xjz7rPN+ffNNzQW8ceNqgvPTTxtz+OH2ezzc2WdHHrdLLzVm0SJ7EePee+3tl7+s+e6PZt26usdx/HhjLrkk9mNifYeFu/zymr9ROJerJsQPH27Mu+/a/d1/f/sZbKDmzoMNno4qmoULF6qqqkpHHnmkunfvHrpNmjRJkp1eau7cucrPz9dBBx2k9u3ba/78+aHHT5kyRWeffbZOOeUUnXTSSTr33HP1m9/8pimKBgBA6zZ4sG1GGD5uSJs2Nc0sly2zzWmDTejatJGOOqqmufYDD0hnnBH5WMk+/tNPbbO+s86qWX/xxTV98JYtk3JypL33rll/9NGRTcFffdU2YzznnMhyG2Ob+B5+eORr79plm6COGCE99lhk07/w/apt2TIpbOpL9e1rm5SGl6Up9OtXt8nshAm2mWu0voeN3f+337ZNio8+umb9b38rPfpo9HLV3n+3u26z/KD8fNtU9NBDnfa0xnPP2aaVwduOHdG3CzYJD29u/N13ttwFBXW3X7/ePtf779tmm9HMnGn3I2yaVEnxvffCDR1qmw9//rk9xk88YZswd+hQs838+bY8l10W/TnCFRdLTz5pP0tBmZn2Z6dOtsl9dbW9BbtNNOXx+fBD+7cIf/2jj7bbGiOtXWu7Z4Q3iz70UOmdd6Lvz9q10vDhNfd797bNa995R+rSxX7H9O9fs97psxjLv/4l9elTE/2OP1569llbTskelzZtIptjr1ljj81dd9V9vqIi28XkvffsZyVcfd8ft94a+Xdu29aWKdY+rVolHXhg9HWHHCJt3myPkWS7DPzwQ90yBZ12mvSHP0jdutkm4u3b27IGXXGF/XxOm1b3sb//vX1c+DTBlZX2mG3YEL17ysiRNfu6bJm0336RXRGcPjdS7O+woKVLbbeAG2+su87ns+/J776z77E+fexn75BD7C3JxNkxp64ZYf8U3nfqE/E/l19+uS6//PLohWjXTrNnz9bs2bMbWxwAABBN9+7SySfX3K+qsn3WgmF306a6Jyi9e9tQLNm+geHmzrX9mbOz7Ylu9+72pOh3v5N+/NGePM2caQPHpk02nNZ+7vC+jUuX2p+1+2526CCdfnrd187JsSfqXbrYk66gb7+VFiywATWaeMoS9Prr9qQ9XO1j9Nxz0iWX2N+vv77mxH3FCil8JpFHH7Xh5oorbB/r2hq7/2vX2rA0b570pz/ZsDd+vA1ZtfsRSnb/x4yJXBZt/4uKbH/Rhx6q+xyxnH12fNv5fPbvFB4YrrvOnrT/5Cd1tz/00Mj+wbWtXi3df78dTGnu3Mh1Dfl7S9KVV9r38YEH2qDSvr10zz01F5wCAXvi//LLzn2BJRuGr77a/k2Cdu2q6Q+/e7f09NPS5Mn2/g03SHfc0bTHZ9Mme6EmPPj37m1D1Hff2b7KH30U+Ri/3/ZTj6ZHD9v/OGjrVun77+32mZnS/2bSkWQDZkFB3YsZ9XnsMfv32bzZ9iv+7DMbpIKOPtoen332qVkWvCjVvXvd5zvzTHuLxudz/v4Iv+Ag2c/Z7t3SkUdGf77Vq+3n5p577HfshRfaENu+vb14OXeu7Tffrp29oHHFFTa8R/PQQzYYb95sj/ny5fZzv2mT/Z65+WYbrlevtoF+4MCax7ZtG/kzJ8deBAg6+GDb3z3cc8/VXEBp6OdGiv0dJtljMWGCdN999ljUNnOmdOqp9jPzu9/Z99ntt9uLTkmo0cEZAACkmF27bI3wd99JwZZdlZWRQU+y96NNCfnMM/ZEZ84ce0K+dau9TZsmBS9+X3mlfZ3Zsxv23PWZPdsGz3/9q+66bdtsKOza1Z6QRtOQsowYYU9ug3r0sGGpb197/9xz7e0Xv7D3gyepki1D0Lff2rD1yivRw2xD1N7/rVttbdvf/mZrQr/+2g4E1bGj9Otf1318vPs/Z449kc3Odi7Prl32GN1xh71gEk27dvaiQTC8tW0bWev+n//YWt7GjMRtjD0hnzHD/n1qa+h77+GHbYB4+mkbnu+4I3JwsPx86dJLpYMOqj84z5plj8kpp9Qs22svGw4k6bbbbEC5//7IxzXl8Ym1/5I9BuedZ8sxb54d0O3VV6Xnn7cD0UVz4YX2sz9ihA2zU6bY5dFaF+Tn2xrKOCrWQp5+2l6cOOYY+3k54QR7/+CDa7Zp3z7y+Dz8sH39K6+Uvvgi/teqrb7vj7fflq691l7oiPZeKy2Vtmyxf79582zY/eUvbfCdPVv6+GP72D/8wQb5hQvthcnt223Lj9r69LGf861b7XskeMHj5ptti4jZs+0FsgEDbIsKp5HZhw2LXsu8YEHN4GXhF2qa8jtbsu+xoUPtxdtowfqcc2yLph077AWYJ5+0A7JlZdn3wIYN9v/LlVc27vWbGMEZAIDWYPduG6wWL7YnZcETZJcrchRsydYS1J4S8l//skHxssukiRPtsnbtpIoKeyIXHE31zjvtdn/5i33uQKD+567PQw/Zmrdbb61bC1tZaWtyPv3UjgAd7US0IfspRY6WXVFhQ9B++9Usa9PGniTXN6L2r39tj1f4yX9jRNv/du1suYIjhUv2BLOgIHpwjrX/4bOS7NolLVpka7Drc+ed0Zte1nb00Tb81VZZad9H993X8PeDZC8Y7Nxpa3ajaeh7789/tvtzwQX2/iOP2AAzcqQ9qX/77ZpWGPX55S/tZ+BXv4q+fv/9659yaU+PT6y/t2Sfr08fu4/XXCNddZUNNxMmxB6l+fe/t+F08GB7ISQvz15ECDY/D7rpJlvrOm+eHUU6XpmZ9qJNebl9T3//vW31EV5jHu6bb+z7fU8vStX3/bF8uQ12xx5rQ2A0WVk2JIcfix077EXKu++2+3XccbZGVbLH5eST7Wdo+vToz9m+vf2O2bat5rv67rvtd8kdd0g//7n0wQe29Ul9Vq+WSkrs4//zH3thLJaGfE/WZ9Uq29WndsuG2jIy7G33bumPf7QXRKZPt+WcMEHKzbU17Pvt1/AyNDGCMwAA6W7XLtuseNEiW2t84ok167KyIptgSrYGJby53rPP2kBx4YWRU4b07Gl/DhpUs2zw4JrmoFlZtrbF6bnrc9999uR+2jR7Uh6uosKe1H70kQ0iTn3i4tnPaN57zzbprF0LE48nn7T9WYM1i1u32j6E//xn/SeTQbH2v2dPGyrC+yIOHmxrMqOJtf9DhtTc/+ADG1xiNW+tbcIEG7LvvbfuutGjbVlihY1337W1ZxdeGLl81ChbA1q76XVtTz5pm8UHa/grK22Nbpcu9tg29L23cWNk0OvUydY8v/eeDQClpTUBZscO+3pdutj+qsccE/lce+8d2be6tqFDbS1hdXXsiy97enyysuxncOfOmiaypaU2GHXrZu9fcklNC5Tu3W2Xg1h9yd1ue8wffNAGVbfb1r6Gbz91qg1n999vy1ifV1+1UxitXGmbII8caWs2p0+3tex33BH7sS++aC+MBPvtB/uJ//Sn9rPy29/W//r1fX+88469UDVsmP3udLpQVvsCQvB78Icf6r63JPseeO+92M/397/bi5zB6eWuvjpyCqmf/MTW6Id3wwn3ww81FxQqKuxx3bXLfgeFdyGorbHfk9EsWGDLMXiwvR9scdGli33/BlvsBD3zjP2MDR9u93fyZLvt4YfbCxhJEJybZHAwAACQxCZPtuH3hRci+yJK9iTlrbdqTtCMsbVrwYGA3n7bhubx420tUniz5CFD7El5UVHNsuJiexLp9drnKCqKHFDnzTcjBxlysmCBDY1//GPdAGaMLdcnn9gmgOGDaEUzfLh97aD16+0JYX1lefDBuuElXuvX2/D24Yf2dthhthYxWnPzaJz2f9gwG+DCa0GLi2MHn9r7v22bDZ7h+//667a/ZKzmutH88IOtrT344Jrb88/b/XVyxBH2+ASPTXD7v/3NNmmtz1NP2f0NPnbiRHt8P/zQNm1t6Htv//0jj2VVlW0m2rOnrRksKal5rT/8wb5G8G8ar1277DHfvt2GoGg18UF7enyGDLFB77//rVn25pv2fRMcgOySS+znuXt3+3l6/vm6ffuDfvtbO2hTp072osBbb9mLLMGLBnfdZUPz/PmxWwEEvfeeLUtwHuX9969Z17GjLVftQQdrO/dc288/eGyCn6l//aumRYyT+r4/PvtM+tnPbDB/4QXnGtfXXrPNnbdurVm2YoX9DvR66763JFsLHLzwGM1zz0X2sy4vj+zb/bOf2b9HuB497N9nxw779zjuOLv8mGNsy5d33rHhs7733aZNkQOwNeQ7O9zkyfY4Bv9Gf/ubXf7hh3X/tsbY77jf/97eb9Om5n/Sjh2xBxxsac0yVncCMB0VAABRLFtmx6idMydyjtHvv7fry8vtvM2/+52d6/d3v7PzbW7ZYqdqyc62U9h8803k43fssI+/+mo73cl//2unjRk4sGb+1l277OODc+nOnWvnwN2woW45p0+vO11St27GXHRR3TmGd+2yU7K0aWOndAlfF5w+aMeOmm2NsdM2ZWQYs3ChnYLq9NPtzckTT9i5bWvPDes0HdX339uyRzNiROy5iBu6/8bYeaiHDbNzPL/6qv27BefnDs7NHPw7rVtnp3657z57/MePN+bgg2ueyxg7p++ZZ8Y4GLXMnGnMhAn22ESbQujxx4158cXIqW9ql6m2WPMUG+N87Iype/zqe+/Vfn889JCdIuj55+1Ua5deaudcjjal1qOPxjcd1dln22ndrrnG7tvee9u/6QMPGJOfb8u2a5cxQ4bYKXma+vhcfbWdvuiTT+z7o0sXOy+vMXaqJrfbmAcftJ/7666z+xucMqv28fnLX+zUdEVFdm7gn/7UzhNtjJ2Oqn17+7mv/V6NZtcuYzZurLkfnI7KGGNeeMGW49BD7XELV7tM4YLvw9qf1aC+fSOno6rv++O004w58EB7nMLXB6dO2rKlZtutW+10YBddZOf5fvllOxXX3Xfb9atW2bmQ//IX+zmcPdtOT/bf/0Yv6xdf2PmsN22qWZaTY6ejy8015p//tPM3d+pkn7v2cdh335r7++5r38+LF9d8Pk48sWYqMGPsfvxvCmFjjP1eOf10uy/PPGO/N995x65zeo/W/gzW9tprdaejClq0qGaqNGPsZ+M3v7FT4nm90f9nRJG08zgnG4IzAABR/OY30YNN+In/smX25L1DB3uCFpw39ZNPYs/RGzzRraoy5te/tqEjM9POhRo8uTTGmJISY445xp58DRpkw1Q0tU+6Xngh9muvX2/nr422LvgcwZO08BPphx+2J7gulzFnnWUvBkSzdaudw9Xlsid0tTkF5759Ywe8hgTn+vbfGHvCO26cPYHeZx87B29wXtpgkAgPWosX2wsbGRn2tT7/vO5+5edHL19tweBsjJ13tfZtyxY7V/Exx9Q8JlqZwjVlcDbG+b0X7f1xzz32IlBmpjEnnWTMp59Gf62GBOdHH7Xz586ZYwPn9u325vfb15k0yV7wMKbpj8+WLXb+3b33tgHqz3+OXL94sT0uLpc9TuHz5tY+PtXVxlx7rQ3+Xbva0Bz8nM+ZE/u9Go/cXGOee86+93r0MOaDD+w85YccYj/npaXRyxSuocHZ6ftjy5bY+xN8jksvjXy/ffqpDZydOhnTs6edMzt8juhXX7X7uffe9qLAc8/FPh7nnWc/18bY7+ANG+zf6Ouv7dzbHToYc/vtxtx4ozFDh0aG3mjBOdp+hAfnESMi57j/6itjzjjDvqbPZ8z8+XWPc7T34Z4E59xcY/7975r7X3xh56ru3NmYO++M/Zy1NHcebGNMsB48tW3evFkej0fl5eXqHD7QBQAAQEN8+KFtbjp7dt1paSTbf/e886SxY1u4YEnkjjtsc87aI0MH9eljB3CaMSO+QcTS0ejR9rZhQ91p0oyR/v1v2+x67Fg72FZrddhhtrl427a2OW+wq8DWrfa9c+ihSTOqcrPbtcsOLnfTTfYzdPHFtu9vfr7tsvGrX0mXXaa8b+ep4NR7bNeb666rGfBrwwbbrDo4rVjPnna6qPDm8Oeea0cPd2oKn6KaOw8SnAEAANAw339vB56qPScsgGZ31lNn6fmLnrdBOzgHM5o9DzKqNgAAABomfKAiAIlBaG5RjKoNAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAJIG8F/ISXQTEQHAGAAAAgCRQuqU00UVADARnAAAAAAAcEJwBAAAAAHBAcAYAAAAAwAHBGQAAAAAABwRnAAAAAAAcEJwBAAAAAHBAcAYAAAAAwAHBGQAAAAAABwRnAAAAAAAcEJwBAAAAAHBAcAYAAAAAwEG7RBcAAAAAAFozf7lfgYqAyivLVVRWJEnyur3yeXwJLhmCCM4AAAAAkCD+cr8GzRmkyupKSVLug7mSJFc7l0omlRCekwRNtQEAAAAgQQIVgVBoDldZXalARSABJUI0BGcAAAAAaG55eYkuAfYAwRkAAAAAmltpaaJLgD1AcAYAAAAAwAHBGQAAAAAAB4yqDQAAAADNxe+XAgGpvFwqslNNyeuVfIyWnUoIzgAAAADQHPx+KTtbqqiw93PtVFNyu6XiYsJzCqGpNgAAAAA0h0DAhubCQmn5cnsrLLTLAkw1lUqocQYAAACA5pSdLeXkJLoU2APUOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAABAK5P3Ql6iixCSTGWJheAMAAAAAK1M6ZbSRBchJJnKEku7RBcAAAAAAForr9srVzuXKqsrI5a72rnkdXslSf5yvwIVAUlSeWW5isqKQo/1eXwtW+BWiuAMAAAAAAni8/hUMqlEgYqA8pfka9ZpsyTVhGJ/uV+D5gyKCNa5D+ZKsuG6ZFIJ4bkFEJwBAAAAIIF8Hp98Hp88Lo9yeuVErAtUBOrURgdVVlcqUBEgOLcA+jgDAAAAAOCA4AwAAAAAaB55yT9idjxoqg0AAAAAzam4OPrvrUFp8o+YHQ+CMwAAAAA0B69XcrulsWMjl7vddh1SBk21AQAAAKA5+Hy2hnn5cum44+zP5cvtMh8DeqUSapwBAAAAoLn4fPbm8Ug5OfVvj6REjTMAAAAApJM0GZArmRCcAQAAACCdpMmAXMmE4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAaLC8F1rP6N3M4wwAAAAArYC/3K9ARUCSVF5ZrqKyInndXvk8vkY9X+mW1jN6N8EZAAAAANKcv9yvQXMGqbK6MrQs98Fcudq5VDKppNHhubWgqTYAAAAAJIGszKxme+5ARSAiNAdVVleGaqHryGu+ptj+cr+KyopUVFYUqv0uKiuSv9zfbK+5J6hxBgAAAIAkUDCqoM4yr9srVztX1NDraueS1+1tvgKVNk9T7Fi135KStgac4AwAAAAAScrn8alkUkmoVjh/Sb5mnTZLkvaof3Iixar9lmpqwJNtvwjOAAAAAJDEfB5fKEh6XB7l9MpJcIlaH/o4AwAAAADggOAMAAAAAIADgjMAAAAAoMUEBzyLptkHPGsk+jgDAAAAwJ7Ky5MK6o6KjbpSccAzgjMAAAAANIbfLwX+NwfyqlVSUZHk9Uq+5At+ySbVBjwjOAMAAABAQ/n9Una2VFFRsyw3V3K7peLiuuE5K6tly4cmRR9nAAAAAGioQMCG5sJCaflyeysstMuCtdDhaMad0qhxBgAAAIDGys6WcpK7mTH2HDXOAAAAAAA4oMYZAAAAABA3f7lfgYqAyivLVVRWJCnKaNjBgdPKy+2gaVJKD5xGcAYAAAAAxMVf7tegOYNUWV0pScp9MFeSnX+5ZFKJDc+1B07LtdvEHDgtBdBUGwAAAAAQl0BFIBSaw1VWV4bmZW7wwGkpgBpnAAAAAEDTS6OB0wjOAAAAAAAr2DdZqumfnMJ9k5sKwRkAAAAAULdvsmT7J4f1Tfa6vXK1c9Vpru1q55LX7W3hArccgjMAAAAApLpoNcVSw2qLw/smZ2fbZcXF0tixdp3PJ5/Hp5JJJQpUBJS/JF+zTptlX6b2qNpphuAMAAAAAKksVk2xVFNb3L4Bz1dP32SfxwZoj8ujnF7p0Ye5PgRnAAAAAEhl0WqKpcja4l6JK146IDgDAAAAQDpIo1Gskw3zOAMAAAAA4IDgDAAAAABImKzMrEQXoV4EZwAAAABAwhSMKkh0EepFcAYAAAAAwAHBGQAAAAAAB4yqDQAAAADpoLjY+T4ajeAMAAAAAKnM65Xcbjtnc21ut12vQIsXK50QnAEAAAAglfl8tnY58L9wnJ8vzZplf/d67foygvOeIDgDAAAAQKrz+exNkjweKScnseVJMwRnAAAAAEDTC+9jneL9rRs9qvaECRM0cuTIOss/++wzuVyuOstfeuklZWdnq2PHjjruuOO0Zs2aiPV33XWXevXqpU6dOmncuHHaunVrY4sGAAAAAGkpKzMr0UWoX3if69xcexs7Nqy/deppVHB+66239NBDD9VZvmnTJp111lmqqqqKWO73+zVmzBhNnjxZxcXF6t+/v0aPHq3du3dLkhYuXKjbb79dTz31lJYtW6ZPPvlE119/fWOKBgAAAABpq2BUQaKLUL9gn+vlyyNvxcU1zclTTIOD844dOzRhwgQdc8wxEcufffZZ5ebmRq1tfvjhh3X44Ydr4sSJ6tevnwoKCuT3+/X6669Lku69915de+21GjlypA4++GDNnj1b8+fPV0VFReP2CgAAAAAQ4nV75WpXN6u52rnkdTdDLbDPZ/tZh99SNDRLjQjOM2fO1NChQ3XCCSdELH/xxRd1yy23aFZw9LYwy5Yt07HHHhu673a7NXToUL377rsyxui9996LWD98+HBVV1dr5cqVDS0eAAAAAKAWn8enkkklWn71ci2/ermO8x2n5VcvV8mkEvk8qRtoW0qDBgdbvXq17r//fq1cuVJz586NWPfAAw9IUqgWOdymTZs0ZsyYiGW9e/dWaWmpAoGAKisrlZVV01a/Q4cO6tatm0pLS2OWpaqqKqJJ+ObNmxuyKwAAAADQqvg8vlBI9rg8yunFyNvxirvG2RijCRMmaMaMGerRo0eDXqSyslIZGRkRyzIyMrR9+3ZVVlaG7kdbH8vMmTPl8XhCtz59+jSoTAAAAAAAxCPu4Py3v/1NO3fu1NVXX93gF3G5XKGAHFRVVaWOHTuG+kTHWh/LjTfeqPLy8tBt48aNDS4XAAAAAAD1ibup9pNPPqkVK1aoa9eukmzQra6uVpcuXfTRRx/J59DROysrS2VlZRHLSktLNWTIEHXr1k0ZGRkqKytTdna2JDsAWSAQiGi+XVtGRkadWmoAAAAAaJC8PKkgBUaqRkLFXeP81FNPqbi4WB9++KE+/PBDTZw4UYcddpg+/PBD9e7d2/Gxw4cP15tvvhm6v23bNq1YsULDhw9X27ZtNWzYsIj1b7/9tjp06KAhQ4Y0fI8AAAAAIF4O4yoBQXHXOPfs2TPifpcuXeRyudSvX796Hzt+/Hjdeeedmjt3rs444wzdcsstGjBggEaMGCFJysvL0y9/+Usde+yx6tWrl6ZMmaLx48c7NtUGAAAAAETh0HIXjdPg6agao3///lqwYIH++te/atCgQVq3bp2effZZtW1rX/6iiy7SlClTdNFFF+nwww/XIYccorvuuqsligYAAAAA6YWm502uQdNRhZsxY0bU5SNHjpQxps7yUaNGadSoUTGfb9q0aZo2bVpjiwMAAAAAQLNokRpnAAAAAABSFcEZAAAAAAAHBGcAAAAAcJKXl+gSIMEIzgAAAADghCmrWj2CMwAAAAAADho9qjYAAAAAIDVlZTrM9VxcHP33VozgDAAAAACtTMGoKHM9e72S2y2NHRu53O2261oxmmoDAAAAACSfz9YwL19ub+eea38WF9t1rRg1zgAAAAAAy+erCckLFya2LEmEGmcAAAAAABwQnAEAAAAAcEBTbQAAAABoLEagbhUIzgAAAABaF79fCgTs7+XlUlGR/d3rjX8QLEagblUIzgAAAABaD79fys6WKipqluXm2p9ud/wjSAdHoA4G8Px8adashoVvpAyCMwAAAIDWIxCwobmw0AbooOJiW3scCMQffMNHoPZ4pJycpi8vkgLBGQAAAEB6CW+KHURNMPYAwRkAAABA+ojWFFuqaYYdq29ycJtg/+Ro/aCdwndWVtPtA5IOwRkAAABA+ojWFDu8GXZOTvS+yVJNMI7VD9qpD3RBQfPuFxKK4AwAAAAg/WRnx+5zXF/f5PrCN02+Wx2CMwAAAABE4xS+0aq0TXQBAAAAAABIZgRnAAAAAECDZWW2ngHRCM4AAAAAgAYrGNV6BkQjOAMAAAAA4IDBwQAAAAAgmuLi6L+j1SE4AwAAAEA4r9fO2Tx2bORyt9uuQ6tDU20AAAAACOfz2Rrm5cvt7bjj7M/iYuZwbqWocQYAAACA2ny+mpDs8TCfcytHjTMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAABar6ysRJcAKYDgDAAAAKD1KihIdAmQAgjOAAAAAAA4IDgDAAAAgBOac7d6BGcAAAAAcEJz7laP4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAAAAAADgjOAAAAAAA4IDgDAAAAAOCA4AwAAAAAgAOCMwAACMl7IS/RRQAAIOkQnAEAQEjpltJEFwEAgKRDcAYAAAAAwAHBGQAAAAAABwRnAAAAAAAcEJwBAGhN8hj8CwCAhmqX6AIAAIBm5vdLgYD9fdUqqahI8nolny+x5QIAIEUQnAEASGd+v5SdLVVU1CzLzZXcbqm4mPAMAEAcaKoNAEA6CwRsaC4slJYvt7fCQrssWAsNAAAcUeMMAEBrkJ0t5eQkuhQAAKQkapwBAAAAAHBAjTMAAACA9FNcHP13oBEIzgCApJH3Qp4KRhUkuhgAgFTm9doBEMeOjVzudtt1QCPQVBsAkDRKt5QmughJK+8F5l8GgAix5qX3+WwN8/Ll0rnn1gyMyEwC2APUOAMAkKT85X4FKuzI16u+XaWisiJJktftlc/DyR+AVio4N31wXnqp7tz0Pp+9LVyYmDIi7RCcAQBIQv5yvwbNGaTK6srQstwHcyVJrnYulUwqITwDaH1qz02fa78XmZsezY2m2gAAJKFARSAiNIerrK4M1UQDQKvC3PRIEGqcAQAAAKQW5qZHC6PGGQAAAAAABwRnAAAAAAAcEJwBAEgXsaZmAQAAe4Q+zgAAJEJwOpXaak+p0hClzIMNAEBzIDgDANDSak+nEi44pUr7li8WAACIjuAMAEBLC59OJTu7ZnlxsTR2rF3fK3HFAwAAkQjOAIDmFa1J8p40R04nTKcCAEBKIDgDAJpPrCbJwebIhGcAAJACGFUbANB8wpskL19ub4WFdlm0gbEAAACSEDXOAIDmR5NkAACQwqhxBgAAAADAAcEZAAAAAAAHBGcAAAAAABwQnAEAAAAAcEBwBgCgOeXlJboEAABgDxGcAQBNg4AYXWlpoksAAAD2EMEZANA0CIgAACBNEZwBAAAAAHBAcAYAoLFong4AQKvQLtEFAADAX+5XoCKg8spyFZUVSZK8bq98Hl+CSxaD3y8FAtKqVVKRLa+8XsmXpOUFAAB7hOAMAEgof7lfg+YMUmV1pSQp98FcSZKrnUslk0qSLzz7/VJ2tlRRYe/n2vLK7ZaKi1M2PKfcxQsAAFoQwRkAkFCBikAoNIerrK5UoCKQfMEtELChubDQBmjJBuaxY+26FAzOKXfxAgCAFkZwBgCgMbKzpZycRJeiSaTcxQsAAFoYg4MBAAAAAOCA4AwAAAAAgINGB+cJEyZo5MiRofvr1q3T8ccfL5fLpUGDBumFF16I2P6ll15Sdna2OnbsqOOOO05r1qyJWH/XXXepV69e6tSpk8aNG6etW7c2tmgAAAAAADSZRgXnt956Sw899FDo/u7duzV69Gj1799fJSUluuaaa3T++edr/fr1kiS/368xY8Zo8uTJKi4uVv/+/TV69Gjt3r1bkrRw4ULdfvvteuqpp7Rs2TJ98sknuv7665tg9wAAAAAA2DMNDs47duzQhAkTdMwxx4SWLV26VGvXrtW9996rvn37atKkSTryyCP16KOPSpIefvhhHX744Zo4caL69eungoIC+f1+vf7665Kke++9V9dee61Gjhypgw8+WLNnz9b8+fNVEZzqAwCAdFRcbOeBDt6Ki0OrvG6vXO1cUR/maueS1+1tqVICANDqNXhU7ZkzZ2ro0KE64IADQsF32bJlysnJ0d577x3a7uijj9a7774bWn/ssceG1rndbg0dOlTvvvuujj/+eL333nu6+eabQ+uHDx+u6upqrVy5UkceeWRj9w0AgOTk9dp5n8eOrbvO7Za8dv7kkkklClQEJEn5S/I167RZ9uHMrwwAQItqUHBevXq17r//fq1cuVJz584NLd+0aZOysrIitu3du7dKS0tD68eMGRN1fSAQUGVlZcTjO3TooG7duoUeDwBAWvH5bO1ywIZi5edLs2woltcbmgva5/GFArLH5VFOr/SY/goAgFQTd3A2xmjChAmaMWOGevToEbGusrJSGRkZEcsyMjK0ffv2etdXVlaG7sd6fDRVVVWqqqoK3d+8eXO8uwIAQOL5fKGALI+n8XNC+/01Aby83Db5DgvfAABgz8UdnP/2t79p586duvrqq+usc7lcCgT/af9PVVWVOnbsGFofDMjh6zt37iyXy/bfirY++PhoZs6cqVtuuSXe4gMAkH78fik7WwofEyQ31zb3Li4mPAMA0ETiHhzsySef1IoVK9S1a1d16dJFd9xxh9566y116dJF++67r8rKyiK2Ly0tDTW/zsrKirm+W7duysjIiFi/Y8cOBQKBOs2/w914440qLy8P3TZu3BjvrgAAGiovL9ElQDSBgA3NhYXS8uX2Vlhol9W6oA0AABov7hrnp556KqJWePbs2Vq2bJmefvpprVmzRn/+85+1bdu20ABhb775Zmie5+HDh+vNN98MPXbbtm1asWKFbr31VrVt21bDhg3Tm2++qRNOOEGS9Pbbb6tDhw4aMmRIzPJkZGTUad4NAGgmjDnRcMEm1MHm01LzNaHOzm58U28AAFCvuINzz549I+536dJFLpdL/fr1k8/nk8/n0zXXXKPp06frX//6l95//3099thjkqTx48frzjvv1Ny5c3XGGWfolltu0YABAzRixAhJUl5enn75y1/q2GOPVa9evTRlyhSNHz/esak2AKCZ0Xe28Wo3oc7NtT9pQg0AQEpq8HRU0bRt21bPPvusrrjiCg0aNEj9+vXTP//5T/Xt21eS1L9/fy1YsEDXX3+9rrvuOg0fPlzPPvus2ra1LcUvuugirV+/XhdddJG2bdum888/X3fddVdTFA0A0Bj0nd0z4U2os7PtsuJiO/1UIND0xy9s/ueI3xu6DQAAiKrRwXnGjBkR9wcOHBjRHLu2UaNGadSoUTHXT5s2TdOmTWtscQAATamlg1+6au4m1LHmg/7fXNBxbwMAABw1SY0zACBN0Xc2ucWaDzq8SX082wAAAEcEZwAAmktLNI+OZz7o8G1+8hMuhgAA0EAEZwAAmloyN48uKEjs6wMAkILinscZAADEKdg8evly6dxza+ZYZmA1AABSEjXOAAA0h2Dz6IULE10SAACwh6hxBgAADZL3Ql6iiwAAQIsiOAMAkAKyMrMSXYSQ0i2liS4CAAAtiqbaAIDm1xKjS6eyrPpDccGo5hvUy+v2ytXOpcrqyojlrnYued3M9QwAAMEZANB8knl06WSS4JGufR6fSiaVKFAR0O1v3q5px06TZAO1z8NgZgAAEJwBAM0nOLp0ICDl50uzZtnlXi+jSycZn8cnn8enhT+PPZiZv9yvQEVA5ZXlKiorkkS4BgC0DgRnAEDj+f02FEtSeblUVFQ3FAdHl/Z4pJycxJQTe8xf7tegOYNCzblzH8yVZJtzl0wqITwDANIawRkA0Dh+v5SdLVVU1CzLzbXNsJmvOO0EKgJ1+kBLUmV1pQIVAYIzgJbF2BloYQRnAEDjBAI2NN90k9S3r132xRfSbbfZdbWDc4wBsBiYCgAQN8bOQIIQnAEAjRM8ebnttsjlsU5eYgyAFT4wVf6SfM06zfaDjtV3Nu+FvGYdYRoAkMQYOwMJQnAGADRO+MmLVHMC04iTl+DAVB6XRzm96vaDDg5KJUmrvl3VJANTEcABIEUxdgYSgOAMAGi84MmL1CQnMFmZdZtz1x6USmqagalKt5Q2vqAAAKBVaZvoAgAAEBStBjjWoFRSzcBUAAAAzYngDAAAAKDp5OW1zOvEGHQSaA4EZwAAAABNp7SFusLEGHQSaA4EZwAAAAAAHBCcAQAAAABwQHAGACBd0N8PAIBmQXAGACBd0N8PQKpoqQHEgCZCcAYAIBZO7ACgebTUAGJAEyE4AwAQCyd2AABABGcAAAAAABwRnAEA6cHvl4qK7O2882p+9/sTXTIASB8t2YWF7jJIIu0SXQAAQJpI5IjOfr+UnS1VVNQse+YZ+9PtloqLJZ8vMWUDgHTSkl1Y6C6DJEJwBgA0jUSO6BwI2NBcWGgDdFBxsTR2rF1PcAYAAI1EcAYApI/sbCknJ9GlAAAAaYY+zgAAAAAAOKDGGQDQavjL/QpUBCRJ5ZXlKiorktftlc/TiGbcxcXRfwcAAGmH4AwAaBX85X4NmjNIldWVoWW5D+bK1c6lkkkl8Ydnr9cOODZ2bORyt9uuAwAAaYfgDABoFQIVgYjQHFRZXalARSD+4Ozz2RrmQCByudfLAGQAAKQpgjMAAA3l87W6kOx1e+Vq56pz8cHVziWvm5p2AEB6IzgDAIB6+Tw+lUwqUaAioPwl+Zp12ixJanwfcQAAUgjBGQAAxMXn8cnn8cnj8iinF9N+AQBaD4IzACC21jhytN9f03+5vFwqKqL/MgC0lLIye5NqvoN79bI3IIEIzgCAulrryNF+v5SdLVVU1CzLzbX7XVxMeAaA5vbAA9Itt9Tcz82Vpk+XZsxIWJEASWqb6AIAAJJQcOTo5cvt7bjj7M90D4+BgA3NhYU1+15YaJfVHkUbAND0Jkyo+79nwoRElwqgxhkAEEP4yNEej5TTivq0Zme3rv1NYnkv5KlgVEGiiwGgpYQ3y25t/3uQ1KhxBgAATS7vhbwmeZ7SLaVN8jwAAOwJapwBAECTI/ACrUy0gRUlBldE2iA4AwAAAGi8WAMrSpGDKzJrAVIYwRkAAABA82LWAqQ4gjMAAAAAKS9PKogyGF99zbCDMzEEt8nPl2bNitymqKhm1oLsbLuuuNhOexgIEJyR9AjOAID6ZWUlugRIAf5yvwIV9sS5vLJcRWX25Nrr9srn4aQYSHqlUcYmiLcZdrwzMTBrAVIUwRkAUL9oNRBAGH+5X4PmDFJldWVoWe6D9uTa1c6lkkklhGcgFYXPbx+sKZaoLUarQ3AGAAB7LFARiAjN4SqrKxWoCBCcgVRGTTFaOYIzAABIKtGafNPcGwCQSARnAACQNGI1+aa5N9CMgoN/Mf8yEBPBGQDQKnjdXrnaueo0J3a1c8nr9iaoVK1clBF8YzX5prk30ExqD/5Ve+AvAJIIzgCAVsLn8alkUkmoCXD+knzNOm0WTYAbISuziUZZjzaCL4CWFW3wr/CBvwBIIjgDAFoRn8cXCskel0c5vRjopjEKRjHKOpB26hv8q3btM7XRaGUIzgAAAACi83pts+2xY+uuc7vteqAVIDgDAAAAiM7ns7XLwWbb+fnSrFn291gDiGU1UXcOIIkQnAEAAADE5vPVBGSPp/75nAvozoH00zbRBQAAAACAOqi5RhKhxhkAkNRiTSMlhU8l9b8mhAxeAwDpg5prJBGCMwAgqcWaRkpSzVRSXjF4DQAAaDYEZwBA0qt3GqnGDF4DAAAQJ4IzACA9NHTwGgAAgDgxOBgAAAAAAA4IzgCAlJKVySirAACgZdFUGwBaI7+/pj9wuBToD1wwilFWAQBAyyI4A0Br4/dL2dlSRUXddW63HWQrycMzAABASyI4A0BrEwjY0FxYaAN0UHGxnc4pECA4AwAAhCE4A0BrlZ3NyNMAgJZVXBz9dyDJEZwBAAAANC+v13YHGjs2crnbbdcBSY5RtQEAQMvx+6WiInsrL7c//f5ElwpIf3l5iX19n8/WMC9fbm/nnmt/Mq4GUgQ1zgAAoGVEG5guN5dB6YCWUFqa6BLYz3jwc75wYWLLAjQQNc4AAKBlhA9MF6x1Kiy0y6JNjwYAQJKgxhkAALQsBqYDUldWVqJLACQENc4AAAAA4lNQkOgSAAlBcAYAAAAAwAHBGQAAAAAABwRnAAAAAAAcMDgYAAAAkK78fjtqfXDedEnyepn+DWgggjMAAACQjmrPnZ6ba38ydzrQYDTVBgAAANIRc6cDTYYaZwAAsMe8bq9c7VyqrK6ss87VziWv2yuJE3UgIZg7HdhjBGcAALDHfB6fSiaVKFBhw3H+knzNOm2WJBuqfR6fQsG5uLjmgeG/AwCQpAjOAIBWKSszK9FFSDs+j+9/AVnyuDzK6VWrhsvrtX0rx46NXO5223UAEocLWoAjgjMAoFUqGFWQ6CK0Pj6fPSEP9q3Mz5dmzWKEXyCRuKAFxIXBwQAkVl5eokuAdJRFbXLS8vlsX8ucHMnjsT8JzcCea+z/0+AFreXLpeOOqxlEjFG3gQgEZwCJVVqa6BIgHRVQmwy0KC6CJt6e/D8NXtD6yU9qLmwRmoEIBGcAAADsGS6CpgcuOgIx0ccZQMvz+2v6OJaXS0VF9nf6OQIAACAJEZwBtCy/384nWVFRsyw31/50u+lTBQAAgKRDU20ALSsQsKG5sLBmAJLly+39ioqamugweS/Qdw4AAACJQ40zgMTIzraDj8ShdAt95wAAAJA41DgDAAAAAOCA4AwADcGUK0Cz8rq9crVz1VnuaueS1+1NQIkAAKCpNgA0DFOuAM3K5/GpZFKJAhV2vIP8Jfmaddosed1e+TwMHAgASAyCMwC0VsXFzveB5paVFXWxz+MLhWSPy6OcXvGNhwAAQHMhOANAa+P12qm/xo6tu87ttuuBllBQkOgSAAAQF4IzALQ2Pp+tXY4y9Ze8XubRBgAAqIXgDACtkc9HQEZKyMqM3pwbAICWxKjaAAAgaRWMojk3ACDxCM4AkM6YPgsJQk0xACCdEJwBIJ0xfRYShJpiAEA6oY8zAAAAGs7vrxlksLxcKipigEEAaYvgDAAAgIbx+6XsbKmiomZZbq6d0q64mPAMIO3QVBsAgNqKi23tWVGR/R1ApEDAhubCQmn5cnsrLLTLokx1l/cC4y0ASG3UOANAOgo2oQw2n5RoQhkPr9fWmI0dG7nc7bbrAETKzpZycurdrHQL4y0ASG0EZwBIN7WbUObm2p80oayfz2ePUe0aMy46AADQqhGcASDdhDehzM62y4qLbS1qIEAArI/PxzECAAARCM4A0MTyXshLjql44mxCCQBIUfGObB4+VgPjNgCNQnAGgCZGXz4AQJPKy5MKal2QjWdkc8ZtAJoMo2oDQLLKYxRaAICk0kZekA2O27B8uXTccTUjoDPeBdBgBGcArUJKToVS34kSwRoAWq/wUBwejGuHYp/PdtvxeOzPnBxCM9AINNUG0CqkZfPpxtZAAACSXzz9l8MHMwwGYwDNguAMAPWJdvIiNc8URfEO9AIAKcBf7legIqDyynIVldnvTq/bK5+H7zRH8fRfBtCiCM4A4CTWyYvU9CcwnCgBSCP+cr8GzRmkyupKSVLug/a709XOpZJJJYRnJ0wrCCQdgjOApBSspZAUqqlISC1FtJMXqXlOYDhRApBGAhWBUGgOV1ldqUBFgOAcD6YVBJIGwRlA0qldSyHZmoqE1lK05MkLJ0oAAABJhVG1ASSd+mopWj2/3/Z9DvaBLiqyywCktuBn+7zz+GwDQJKhxhkAUkntftDN1d8aQMuq/dl+5hn7k882ACQFgjMAhI9kHdTAkayj9cmWmmH0WPpBA+mJzzYAJDWCM4DWLdpI1lJNLU88TxGjT7bUjKPH0g8aSE98ttFcsrISXQIgpdHHGUBa85f7VVRWFKoFLiorkr88rM9geC3P8uX2Vlhol9WuhY4hVp9siX7ZQHPLeyEv0UUAUkNBQaJLAKQ0apwBpK0GzSFKLQ+Qkkq3lCa6CEByoEYZaFYEZwBpizlEAaCZhXdpibN7C5oJNcpAsyI4AwAAoGG8XjsWxNixkcvdbrtOdnBEVztXnQuYrnYued3eliopADQJgjMAAECKCI7gf/ubt2vasdMkNcPo/fHw+WwNc3AsiPx8adasiBkJfB6fSiaVKFARUP6SfM06bVbiygsAe4jgDAAAkAJqj9vwTLGd67nZRu+vj89XM02WxxN1nAifxyefxyePy6OcXowjASB1Mao2AABACqhv3IZmk8fI5QBAcAYAAEBspYxcDgAEZwAAACQcc3IDSGYEZwAAACQcc3IDSGYMDgYA6Yr5VQG0lKysZnvq4EjikhI/mjiAVqvBNc6fffaZTj31VGVmZmrgwIF64oknQuvefPNNDRkyRC6XS8OGDdP7778f8diXXnpJ2dnZ6tixo4477jitWbMmYv1dd92lXr16qVOnTho3bpy2bt3ayN0CgFYsfH7V3Fx7Gzs2Yn5VAGhSBQXN8rTBkcRzH8xV7oO5eqb4mdDvg+YMkr/c3yyvCwC1NSg47969W2eeeaZ69uypjz76SH/96181adIkLV26VN9++63OPPNMHXnkkfr44481duxYnXzyydq4caMkye/3a8yYMZo8ebKKi4vVv39/jR49Wrt375YkLVy4ULfffrueeuopLVu2TJ988omuv/76pt9jAEh3wflVly+XjjvO/ly+3C7zUTsDIA5+v1RUZG/l5fanv+VDaqyRxKUWGE0cAMI0qKn2119/rYMPPlhz5sxRZmam+vfvr5EjR+rZZ5/V8uXLtc8++2jOnDnaa6+9dOCBB+pf//qX7r//fv3xj3/Uww8/rMMPP1wTJ06UJBUUFKhHjx56/fXXdcIJJ+jee+/Vtddeq5EjR0qSZs+erVNOOUWzZs2S2+1u8h0HgLQWnF81xtyqABCT3y9lZ0sVFTXLcnNtqxUuwDW9vLxmq7EH0HQaVOPcq1cvLVy4UJmZmZKk9957T0uXLpXH49HatWt12GGHaa+99gptf+ihh+qdd96RJC1btkzHHntsaJ3b7dbQoUP17rvvyhij9957L2L98OHDVV1drZUrV+7RDgIAALRGjR6lOhCwobmwsKbFSmGhXRZoXA1vVmbsPtD+cr+KyopUXlmuorIiFZUVta4m2Ez3BaSERg8OduCBB+rzzz9Xbm6urrnmGs2ZM0cfffRRxDZ+v19fffWVJGnTpk0aM2ZMxPrevXurtLRUgUBAlZWVygobWKJDhw7q1q2bSvkyAZAMag+uxWBbAJLcHo9SnZ3dZC1WCkZFr1EN9mEONsfOfTBXkuRq51LJpJImee2UxiCPQNJodHBesGCBvvnmG9122236+OOPdd555+m2227TvHnzNG7cOL366qt6/vnn1atXL0lSZWWlMjIyIp4jIyND27dvV2VlZeh+tPXRVFVVqaqqKnR/8+bNjd0VAIgtfKCt2kKDbdHHDgDQhGL972GQRyBhGh2chwwZIknaunWrxo8fr3Xr1umRRx7RNddco6uuukpDhw7VhAkT9Nprr0mSXC5XKCAHVVVVqXPnznK5XJIUdX3Hjh2jvv7MmTN1yy23NLb4QJPKeyEv5tV0pLjgQFvB5on5+dKsWfZ3r9euLyM4A0Bj+Dw+lUwqUaAioPwl+Zp1mv1+DU411WoH/6r9vyco+H8HQItr8OBg77zzjkaPHh1aNnjwYG3YsEGBQECXXHKJLr74Yn333Xfq3r27rr/+eg0YMECSlJWVpbKysojnKy0t1ZAhQ9StWzdlZGSorKxM2dnZkqQdO3YoEAhENN8Od+ONN+q6664L3d+8ebP69OnTkN0BmsweN4drjVKp6XNwoC1J+slPGGwLAJqQz+OTz+OTx+VRTi++X0PC//cASLgGDQ62YcMGnXvuuaF+y5L0wQcfyO126+OPP9Yll1yitm3bqnv37jLG6Pnnn9fxxx8vyQ729eabb4Yet23bNq1YsULDhw9X27ZtNWzYsIj1b7/9tjp06BCq2a4tIyNDnTt3jrgBSAHR5hhOpXmGGfkUAACg1WlQcD788MN1+OGH66qrrtKaNWv073//WzfccIMmT56sQYMG6Z///Kceeugh+f1+/eY3v9G2bdt06aWXSpLGjx+vZcuWae7cufriiy90zTXXaMCAARoxYoQkKS8vT7Nnz9arr76q4uJiTZkyRePHj4/ZVBtAigqfY5h5hgE0Umscidnr9srVzlVnuaudS153kl90BIAU16Cm2m3bttWiRYs0adIkDRs2TPvss4+uueYaTZ06Ve3atdPf//53/eY3v9G1116rww47TP/+979DU1f1799fCxYs0PXXX6/rrrtOw4cP17PPPqu2bW12v+iii7R+/XpddNFF2rZtm84//3zdddddTb/HABIvvPlZlHmGgyeHwVFWgzg5DMNIq2jF6huJ2edJzwtw9fUHRgMwdzKABmrw4GC9evXSM888E3XdqFGjNGrUqJiPrW/9tGnTNG3atIYWCUCaCT85lBQ6QeTkUIy0CkgKVATqXFiTpMrqSgUqAmn9PUF/4CbCdKcAGqhBTbUBoKX4PD7l9MpRTq+c0Ami48lwXl7LFS6Rwpu608wdSD6t5bsIAFqZRk9HBQBJpTXVHgSbukdp5g4gwfb0u2gPu2H4y/2h1jrB/t8SzbkBYE8RnAEAABKtCbph1O77LbWe/t8A0Nxoqg0AqSrGPPcAUlATdMOI1fdbqun/DQBoHIIzUlLeC/QhAxgRFkgzPp/tfhHshpGTw9gFAJAkCM5ISaVbWlF/VgAAED8GaAPQDOjjDAAAgPSRCoNF+v1S4H9N58vLpSI7iJu8XloZAEmK4AwAAJBMGL8gvfn9Una2VFFRsyzXDuImt5vpBYEkRXAGkLqiXbHnaj2AVMf4BQ2XSv8PAgEbmgsLbYAOKi62o6oHAslZbqCVIzgDSE2xrthztR5AMgoPdkHJGuxSTar+P8jOtgPAAUgJrW5wMEZjBtJE+BX74LQthYV2We2TUwBIpGCwy82NvGVn23WNkJXZNM250+K8KJn/HzBQGZA2Wl2NM6MxAy0oL6/5mxxyxR5AsovWNHcPm+UWjGqa79a0Oi9Kxv8HqTBQGYC4tLoa5/qkxZVXIFlwwgAANYLBLicnsm8rACDpEZxrSasrr0CaaKomiQAAAEBjEJwBJFYc0640VZNEAAAAoDEIzkmOpuNIe0y7AgAAgCRHcE5yNB0HAAAAgMRqdaNqA2hm4XOVlpdLRUX2d+YrBQAAQIoiOAP1aYkpldJFcK7SioqaZbm59qfbbadfITwDAAAgxdBUG6gPUyrFL3yu0uXLa26FhXZ5sCYaAJJNHmOKAABio8YZQNMLzlUKAKmCi6RoKFqkAa0KNc4AGofaGQBAa8bFFqBVITgDaBxOGAC0MukyRaS/3K+isiIVlRWpvLI89Lu/3J/oogFA0qKpNtJW3gt5KhhFEyoAQNNIhyki/eV+DZozSJXVlaFluQ/aQRxd7VwqmVQihnAEgLoIzolE35hmlQ4nOAAANKVARSAiNIerrK5UoCJAcG4pxcXO9wEkFYJzIsVo6uov9ytQYUcfDjah8rq98nn4VwYAAKLzur1ytXNFDcaudi553d7Q+QUSyOu1UzSOHVt3ndtt1wNIOgTnJBOrCVWo+RThuWX4/TVTJ5WXS0VF9h8ZcxCjibRYV4KsrOZ/DQBJwefxqWRSSSgc5y/J16zTZklS6AI8wbkFRDuHkGrOI3w+W7sc3CY/X5o1K3IbAEmH4JxkYjWhCjWfIjg7ilZbLylmjX3U8OL32+mUKipqluXm2qvAxcWhf2i0DMCeaLGuBHQHAVoVn8cX+j/kcXmU0yt1pgbMykyDC32xziGkyPOI4E2SPB6mcARSAMG5pVGTGVv4sQmqdWyCYTVaKI5rwJNaoTZqeAkE7D+8wkL7z0+y/+jGjrXrfLFfi5YBANAKpdD/9niac0uJqZVOiwE9o51DSHXOIwCkHoJzS4qzJrNVinZspIhjUzus1g7FcQ140pBAm50d8wowLQMAAJJS7n97PM25ExWc04rDOQSA1ERwbklx1GS2WnEcm/rCKgAALS4F/7encnNuAEgUgnMicBUyNo4NACAVpeP/r/DpkZgqCUArR3AGAABAjVjTJSVgqqRk7pMNoHVpFcGZ0Y8BAADiFGu6pAQMeEafbADJIu2DM6MfA0g5NI8E0lMqfbaTaLqktO+TnZUG03ABrUDaB2dGPwaQMpKoeSSAJsRnO70Epx8LTj0m7VltfEEaTMMFtAJpH5zj5TQ/cJNLpSvOSSRWP6dgHydG1k4itd/XvM/jk0TNI4FWIdr8y1LTf+b4bLeMlji/qj39WK6dGjM0/RiAtEVwVt3m3LXnB26y8MwV5z0S3s8pWh8ngnMSiPUel3ifxyuJmkcCaS3W/MtS88zBnIDPdlZmK2kC3JLnV/VNPwYgbRGc1YLNubnivMeC/ZzSso9TOoj1Hpd4nwNILtECkJT0czA3RMGoVtIEOBHnV+k4/RgAR2kfnOtr3tvimviKc94Lea3nHyNSQ6rWmCZjFwoGjAGaXz0BKNrMHFIzdudC48Tzvyda03wu6gKIU9oH51jTGDT7P7y8vBYZ7KF0S2mzvwaQ1pK5CwUDxgAJFWtmDimsO1dwRTJefEONWE3zm6NZPoC0lPbBWUrQNAalBNrmtCf9tqg9QITwJn40LQcQJlZXLimsO1cyX3xDjfr6JvN9D6AerSI4p6MWHQU8CTW2eXqDag/SWQu1iEiZpsbBJn7N3LQ82kWb1vS5BdIS45cAQKtAcE5BLTYKeBqKq/aghcuUEC3VIiLBTY2TaYyDWBdt+NwCaSBVx3ZoTWgZAGAPEZxTUIuNAg6kuPqmMGtJfG4BIIFoGQBgDxGcAaS1ZJnCLJlqvwHEJ9bnVnL47KZKF5XWiJYBAPYAwRlAwwSn8whO5SFxxT4OCRvhH0CjxfrcSg4tV9JxNPx0vBiQjvsEoFkRnAHEr/Z0Hrm2fz3TecQnISP8A9gjfG6VVBcD9mRWjQj17FPeC3mNHogUQHoiOKNVia/ZXaDlC5YqmM4DAJBAzR1mg7MfrPp2VauctQRAbARntCrxNbsjONcrO5u+YQBanSar7URSYtYSAE4Izkgb8Q7iQrM7AEBj0HQ3vTH7AQAnrS44c7U4fTVqEBcAAAAAqEerC85cLU5v1CYDABA/KhQAID6tLjg3q+A0PRJT9QAAgKRHhQIAxIfg3FRqT9MjNWqqnlj9dMP76AJoJszrCQBoCsXFzvcBpByCc1OJNk2P1OCpemL106WPLtACkmiuUgBACvJ6bYXJ2LF117nddj2AlERwbmpNME0P/XSRaHkv5NF8DwCaC61b0pfPZytNgl33br9dmjbN/k7XPSClEZyRthjwpPFKt5QmuggAkL5o3ZLefL6agLxwYWLLAqDJtE10AYDmssc1psXFdoC3oqLU6puUl5foEgAAAABphRpnoLZY/ZOSuW9S+Ijuq1bZsF+7SVi0Ud9pNgagFaD7CQBgTxGcE4k+Tsmpdv+k/Hxp1qzkDZmxRnQPH809nm0AIE3R/QQAsKcIzolEH6fkFd4/yePZ4wHfmlW0Ed1rj+Ye3Oamm6S+fe02X3wh3XZb3CO+AwAAAK0VwRlIF04jugebn992W+TyZG5+DgAAACQJgjPQGqRa83MAaCm1B39MpcEgAQAthuAMtBap1Py8GTA9GYAIsQaClGiNk+oYQwZAMyA4A2gVkm1EXYI8kGCxWuJItMZJdYwhA6AZEJwBIAGSLcgD6chf7legIqDyynIVlRVJkrxur3ye/4XiVt4SBwAQP4IzUB+afAFAyvGX+zVoziBVVldKknIfzJUkudq5VDKppCY8AwAQh7aJLgCQ9GjyBQApJ1ARCIXmcJXVlQpUBBJQIgBAKiM4AwAAAADggOAMAAAAAIADgjMAAAAAAA4Izo2Rl5foEgAAgKbEQJAAAAeMqt0Qfr+d73HVKqnITmvBXI8AAKQBBoIEADggOMfL75eys6WKCns/105rIbdbKi6u2S7892j3AQAAAAApheAcr0DAhubCQhugJRuKx46167xeG6LHjq37WLfbrkerlfdCngpGUZsBAAAApCKCc0NlZ0s5OXWX+3w2SAf+Nzdkfr40a5b9nebcrV7pltJEFwEAAABAIxGcm5LPVxOQPZ7oARsAAAAAkFIYVRsAAAAAAAfUOAOtUYxpV/zlfgUqAiqvLFdRmR053uv2yuehqwEAAABaL4Iz0BpFmXbFX+7XoDmDVFldKUnKfdCOHO9q51LJpBLCswOv2ytXO1fo2IVztXPJ62ZwQAAAgFRGcG4uMWr0kFyyMlPr79Sco3MHKgJRg19ldaUCFQGCswOfx6eSSSUKVNjBAfOX5GvWaXZwQGrsAQAAUh/BublEqdFD8km1KaIYnTt5+Ty+UED2uDzK6cXggAAAAOmCwcEAAAAAAHBAcAYAAGknOPZAbYw7AABoDJpqAwCAtBM+9gDjDgAA9hTBGQCaWKoNOgekq+DYA4w7AADYUzTVRpPKeyEv0UUAEi7VBp0DUg3NsAEALY0aZzQpRn0GADS32lPABdEMGwDQXAjOiF9eHtNsAQCSQvgUcAAANDeaaiN+pdQmAwAAAGh9CM5AIzRL/7o8+ocDAAAAyYim2kAj1O5fF5zqpHb/On+5X4GKgMory1VUViTJoQ8eNfoAAABAUiI4A40U3r8u2lQn/nK/Bs0ZpMrqSklS7oO5kmytdMmkkrj75gXDt6T4AjgAAACAJkVwBppJoCIQCs3hKqsrFagIxBV6a4dvKUoAb7oiAwAAAIiC4Awkmt8vBQJSeblUZGuT5fVKPl/M8C2FBfAWLGpIcXH03wEAAIA0RHBOclmZWYkuApqT3y9lZ0sVFfZ+rq1NltttA2n7litKcMCz2kE9YsAzr9eWbezYyAe73XYdAAAAkIYIzkmuYFSC500O1oZKUWtEsYcCARuaCwttgJZsYB471q7r1XJFqT3gWVBEX2qfz5YvEJDy86VZs/63Ee8HAAAApC+CM2KrXRsq1a0RbUxYysuTChJ8QSDZZGdLOTn1b9fMwgc8i72Rz948nqQoMwAAANDcCM6ILVptqBRZI9qY4My0SwAAAABSCMEZ9UuS2lAAAAAASIS2iS4AAAAAkGjBQTJrixgkE0CrRY0zAAAAWr3wQTLzl+Rr1ml2AMyIQTIBtFoEZwAAAEA1g2R6XB7l9HLoplZcHP13AGmL4AwkA/4BAwCQ/LxeO7PI2LGRy91uuw5A2iI4A4lUzz9gr9v2raqsrqzz0Jo+V4E66wAAQDPw+ewF7kBAys+XZtnm3PJ6GzfTCICUQXAGEqmef8A+KdTfSlKMPlcEZwAAWozPZ28eD7OOAK0IwRlItHr+AQf7W0mqv88VAAAAgCbHdFRAM2FaCwAAACA9UOMMNBOmtQAAAADSA8EZaEZxT2sBAAAAIGnRVBsAAABoqKysRJcAQAsiOMPKy2v0Q/3lfhWVFamorEjlleUqKiuSv9zfhIUDAABIMgUFiS4BgBZEU21YpaWNepi/3K9BcwZFzDOc+2CuXO1cKplUQl9eAEDCZWVSMwgA2DPUOGOPBCoCEaE5qLK6MjT3MAAAiVQwippBNAwXWwDURnAGAAAAwnCxBUBtBGcAAAAAABwQnFOQ1+2Vq52rznJXO5e8bm8CSgQAAAAA6YvBwVKQz+NTyaQSBSoCyl+Sr1mnzZJkA3WDBuPy+6XA//ohl5dLRUX2d69X8jXxoF7RXqs5XgcAAAAAmhjBOUX5PD75PD55XB7l9Mpp+BP4/VJ2tlRRUbMsN9f+dLul4uKa5eG/R7vf2NcKvg7hGQAAAEASIzi3VoGADbKFhTbUBhUXS2PH2vVerw23Y8fWfbzbbdcrjpGzo71W+Ou0guDM6JwAAABA6iI4t3bZ2VJOjBprn88G3GAT6/x8aZZtFh5qZl3WgCmnnF4rzTE6JwAAAJC6CM5w5vPV1Ah7PK02+AIAAABovRhVG0DjZNH8HAAAAK0DNc5pzF/uV6Aisil1g0feBmIpoPk5AAAAWgeCc5ryl/s1aM4gVVZXRix3tXOpZFKJiM4AAAAAEB+Cc5oKVATqhGZJqqyuVKAi0GTB2ev2ytXOFTWge93eyI2dprgCAAAAgCRFcMYe8Xl8KplUEmoSnr8kX7NOmxXZJDzWtFahKa3CEK4BAAAAJBmCM/aYz+MLhWSPy6OcXrVG3o41rVVwSiupYeE6XTHYFgAAAJCUCM5oGfVNaxUerqPNF90a7OlgW9TWAwAAAM2C4IzkEQzXzBfdMNTWAwAAAM2qwfM4f/bZZzr11FOVmZmpgQMH6oknngite/fdd3XkkUeqU6dOOvjgg/V///d/EY996aWXlJ2drY4dO+q4447TmjVrItbfdddd6tWrlzp16qRx48Zp69atjdwtNAuaEienYG398uWRt+Li1lNbDwAAADSjBgXn3bt368wzz1TPnj310Ucf6a9//asmTZqkpUuXatu2bRo1apSOPPJIffrpp5oyZYrOP/98lZSUSJL8fr/GjBmjyZMnq7i4WP3799fo0aO1e/duSdLChQt1++2366mnntKyZcv0ySef6Prrr2/6PUbjMW9v8vL5bC19+I3QDAAAADSJBgXnr7/+WgcffLDmzJmj/v376/TTT9fIkSP17LPPatWqVQoEAvrDH/6gvn376tJLL1V2draWLFkiSXr44Yd1+OGHa+LEierXr58KCgrk9/v1+uuvS5LuvfdeXXvttRo5cqQOPvhgzZ49W/Pnz1dFRUWT7zQAAAAAAPFqUHDu1auXFi5cqMzMTEnSe++9p6VLl8rj8Wj//fdXZmam5s2bJ2OM3n//fa1evVoej0eStGzZMh177LGh53K73Ro6dKjeffddGWP03nvvRawfPny4qqurtXLlyqbYTwAAAAAAGqXBfZyDDjzwQB1xxBEaMGCArrnmGu2zzz56+umnNWXKFLlcLg0bNkwnnniiLrzwQknSpk2blFWrj2zv3r1VWlqqQCCgysrKiPUdOnRQt27dVFpa2tgiAi0mK5P+3wlTXCwVFdkbo4kDAACgGTR6VO0FCxbom2++0W233aaPP/5YgwYN0vjx43XllVfqyiuv1NKlS/Xcc89p8+bNcrlcqqysVEZGRsRzZGRkaPv27aqsrAzdj7Y+mqqqKlVVVYXub968ubG7Iq/bK1c7lyqrKyOWu9q55HUzKjHqVzCK/t8tjtHEAQAA0EIaHZyHDBkiSdq6davGjx+vq6++Wt26ddM999yjNm3a6NBDD9XHH3+sG264QY8++mgoPIerqqpS586d5XK5JCnq+o4dO0Z9/ZkzZ+qWW25pbPEj+Dw+lUwqUaAiELHc6/bK52GAJSAphc/9Ha41zf0NAACAFtGg4Pz111/rnXfe0ejRo0PLBg8erA0bNsjv9+uQQw5RmzZtQuuGDh2q++67T5KUlZWlsrKyiOcrLS3VkCFD1K1bN2VkZKisrEzZ2dmSpB07digQCNRp3h1044036rrrrgvd37x5s/r06dOQ3Yng8/gIyUCqCc79DQAAADSjBvVx3rBhg84991x99dVXoWUffPCB3G63DjjgAK1atSpi+9WrV6tnz56S7GBfb775Zmjdtm3btGLFCg0fPlxt27bVsGHDIta//fbb6tChQ6hmu7aMjAx17tw54gYAAAAAQFNrUHA+/PDDdfjhh+uqq67SmjVr9O9//1s33HCDJk+erHHjxmnTpk2aOnWq1q1bpyeeeEIPPfSQrr76aknS+PHjtWzZMs2dO1dffPGFrrnmGg0YMEAjRoyQJOXl5Wn27Nl69dVXVVxcrClTpmj8+PExm2onDAMRAQAAAECr0qCm2m3bttWiRYs0adIkDRs2TPvss4+uueYaTZ06Ve3atdPrr7+ua665RgUFBcrKytK9996rCy64QJLUv39/LViwQNdff72uu+46DR8+XM8++6zatrXZ/aKLLtL69et10UUXadu2bTr//PN11113Nf0eNxYDEQEAAABAq9TgwcF69eqlZ555Juq6Qw89VG+88UbMx44aNUqjRo2KuX7atGmaNm1aQ4vUMsIHIsrPl2bNsssZiKjpxejXDgAAAACJ0OhRtVul4EBEHo+Uk5Po0qSvAqZ2AgAAAJA8GtTHGcknK5PaWQAAAABoTgTnFFcwKgVrZ2mKDQAAACCFEJzR8miKDQAAACCFEJwBAAAAAHBAcEaTos81AAAAgHRDcEaTSsk+1wAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AwAAAADggOAMAAAAAIADgjMAAAAAAA4IzgAAAAAAOCA4AykkKzMr0UUAAAAAWh2CM5BCCkYVJLoIAAAAQKtDcAYAAAAAwAHBGQAAAAAABwRnAAAAAAAcEJwBAAAAAHBAcAYAAAAAwAHBGQAAAAAABwRnAAAAAAAcEJwBAAAAAHBAcAYAAAAAwAHBGQAAAAAABwTnNOV1e+Vq56qz3NXOJa/bm4ASAQAAAEBqapfoAqB5+Dw+lUwqUaAioPwl+Zp12ixJNlD7PD5JgcQWEAAAAABSBME5jfk8Pvk8PnlcHuX0ykl0cQAAAAAgJdFUGwAAAAAABwRnAAAAAAAc0FS7tSsudr4PAAAAAK0cwbm18nolt1saO7buOrfbrgcAAAAAEJwbJSsr0SXYcz6frV0O/G907fx8aZYdeVter10PAAAAACA4N0pBQaJL0DR8vpqA7PFIOYy8DQAAAAC1MTgYAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM6wsrISXQIAAAAASEoEZ1gFBYkuAQAAAAAkJYIzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4IzAAAAAAAOCM4AAAAAADggOAMAAAAA4IDgDAAAAACAA4JzK5CVmZXoIgAAAABAyiI4twIFowoSXQQAAAAASFkEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMABwRkAAAAAAAcEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMABwRkAAAAAAAcEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMABwRkAAAAAAAcEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMABwRkAAAAAAAcEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMABwRkAAAAAAAcEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMABwRkAAAAAAAcEZwAAAAAAHBCcAQAAAABwQHAGAAAAAMABwRkAAAAAAAcEZwAAAAAAHLRLdAGaijFGkrR58+YElwQAAAAA0JKCOTCYC5ta2gTnLVu2SJL69OmT4JIAAAAAABJhy5Yt8ng8Tf68bUxzRfIWtnv3bn355ZfKzMxUmzZtEl2cVmnz5s3q06ePNm7cqM6dOye6OGmH49u8OL7Ni+Pb/DjGzYvj27w4vs2L49v8OMaN11THzhijLVu2qHfv3mrbtul7JKdNjXPbtm213377JboYkNS5c2e+MJoRx7d5cXybF8e3+XGMmxfHt3lxfJsXx7f5cYwbrymOXXPUNAcxOBgAAAAAAA4IzgAAAAAAOCA4o8lkZGRo+vTpysjISHRR0hLHt3lxfJsXx7f5cYybF8e3eXF8mxfHt/lxjBsvVY5d2gwOBgAAAABAc6DGGQAAAAAABwRnAAAAAAAcEJwBAAAAAHBAcG4F1q9frzPPPFMej0f9+/fXzJkztXv3bklSUVGRDjvsMLlcLg0dOlTvvvtu6HHV1dWaPn26fD6funbtqjFjxujLL78MrV+8eLHatGkTcTvvvPNilsMYo1tuuUU9evRQ586ddcUVV2jbtm2OZf/00091zDHHyOVy6aCDDtKSJUv28Gg0jVQ+ph9++KFGjhypzMxMDRw4UI888kjE+rvvvls+n09dunTR+eefr6+//roxh6hBkuV4hrv11lt12WWXRSzbvXu3pk6dqn322Uddu3ZVfn6+du3aFdfzvfHGG+rfv3+d5V6vt04Zt27dGtdzxiudj++CBQt08MEHq1OnTjriiCP0zjvvhNbt2LFDkyZNUpcuXdStWzdNnTpV1dXVcZWvoVLlGAcZY3TSSSdp3rx5ce9jtPdwfeVvKul8fJ3ew5K0cOFCDR48WHvvvbdOOeUUbdiwIa7yNUSqHN9vv/1WY8eOldfrVVZWlq6//npVVVXF9XyPP/64Ro4cWWf5XXfdpV69eqlTp04aN25ck3//Sul9fOfMmaMDDjhAnTt31oknnqjVq1dH3W7mzJnq169fXGVras11/I0xmj59unr27KmuXbvq6quvVmVlZVxlivV+rG3Tpk362c9+po4dO2rAgAF67LHHGrbzjZDKx8up7FL937f1MkhrVVVV5qCDDjJjx441n3/+uVmyZInp3r27mTt3rtmyZYvZd999ze9+9zuzYcMG89vf/tZ4vV6zefNmY4wxt912m+nXr59ZunSpKSkpMWeccYYZPny42b17tzHGmDvuuMOcccYZ5ttvvw3dgo+N5oEHHjCdOnUy//jHP0xxcbE59dRTzejRo2NuX1lZafr3729Gjx5tVq9ebZ544gnTqVMn8/777zftQWqgVD6m3333ndl3333N1KlTzbp168zf//5343K5zL/+9S9jjDGFhYWmS5cuZsmSJWbt2rXmF7/4hTnhhBOa8OjVlUzHM+jvf/+72Wuvvcyll14asfzOO+80/fr1M8uXLzfLli0zffv2Nbfffnu9z/fJJ5+Ynj17mr59+0Ys/+qrr4wks27duogyNqV0Pr5vvPGGcblcprCw0Kxfv978/ve/N507dzZlZWXGGGNuvPFGs++++5qXX37ZrFy50uTk5Jhf//rXjTySsaXSMTbGmF27dplrr73WSDKPPvpoXPsY6z1cX/mbQjof3/rew//9739N+/btzUMPPWTWrVtnxowZY4444oiGHcB6pNLxPemkk8zJJ59sVq1aZd5++21zwAEHmKlTp9b7fEuXLjV77723GTFiRMTyBQsWmK5du5rXXnvNfPzxx2bo0KHm6quvju/AxSmdj29hYaHp2rWrWbx4sVm7dq254oorTL9+/UxFRUXEdp9//rnp2LFjne+PltCcx/9Pf/qT6dGjh3nttdfMhx9+aAYOHGhuuOGGessU6/0YzVFHHWWOOuoo8/HHH5sXX3zR7LPPPmbRokV7ckgcpfLxciq7MfV/38aD4Jzm3njjDZORkRHxJfbHP/7RHH300eaRRx4x/fr1C72hd+/ebQYMGGAefvhhY4wxAwYMMI888kjocaWlpUaS+eyzz4wxxlx66aVmypQpcZflkEMOMb///e8jnq9NmzZmzZo1Ubd/5plnTKdOncyPP/4YWjZhwgTzi1/8Iu7XbA6pfEwfe+yxiPIZY8xVV11lLr74YmOMMffdd58pKCgIrfvwww+NpIi/QVNLpuO5c+dOM3HiRON2u83AgQPrnFT07ds34kR4/vz5pk+fPo7PGby4MWTIkDonDa+99prp3r173OVrjHQ+vpdffrkZN25cxLKBAweahx56yBhjTGZmZmhfjDHmnXfeMS6XK64Ty4ZIpWO8adMmc/zxx5t+/fqZLl26xBWcnd7D9ZW/KaTz8a3vPXzOOeeYK6+8MrRu/fr1pk+fPk16gS1Vjq/f7w9daAx64oknTFZWluNzzpgxw7hcLnPIIYfUOfE+7rjjzPTp00P3ly5dajIyMsy2bdviLnN90vn4nnDCCebmm28O3d+xY4fZe++9zcsvvxyx3YknnmiOO+64hATn5jr+u3btMt27dzeFhYWh9YWFhebEE090LI/T+7G25cuXG0lm7dq1oWUzZ840Rx11VNz731CpfLycym5M/d+38aCpdpobPHiwFi9erI4dO4aWtWnTRtu2bdOyZct0zDHHqE2bNqHlRx11VKjZxQMPPKAzzjgj4nGSQk2BV61apQMPPDDusqxdu1bDhw8P3e/du7e6d+8es5nE2rVrlZ2dLY/HE1p26KGHNrxZRRNL5WM6YsQIPfbYY6HXDS+7JP3yl7/UxIkTJUkVFRW677771LFjR3Xo0CHuMjVUMh3PrVu36tNPP9Xbb7+tI488MmJdWVmZvvjiCx177LGhZUcffbQ2btyosrKymM+5ZMkSzZs3T5MnT66zrqHla4x0Pr7XXHONpk6dWmf5tm3b9O2332rLli0Rn49DDz1UlZWVWrFiRdxljkeqHGPJNrPz+Xx67733Ir5bnTi9h+srf1NI5+Pr9B6WpNdff12jR48OLe/Xr5/8fr+8Xm/cZa5PqhzfLl26aPHixRHdBcL/f8Xy6quv6sUXX9Q555wTsdwYo/feey/iO2f48OGqrq7WypUr4y5zfdL5+NZu7t22bVsZYyIeM3/+fO3YsSNmt4bm1lzH/9NPP1UgENBZZ50VWn/xxRfrlVdecSxPrPdjNGvXrlX37t01YMCA0LJDDz1UH3zwQbN1O0rl4+VUdqn+79t4EJzTXPfu3XXyySeH7ldVVemRRx7RCSecoE2bNikrKyti+969e6u0tFSSdNJJJ6lHjx6hdXPnzlXPnj2VnZ0tSVq9erX++9//6pBDDtHAgQN18803a+fOnTHL0qNHj4gT4K1bt+r777/XV199FXP7r776SiZsqnG/3x9z+5aSysfU5/NFnCR8++23WrBggU444YSI7ebNmyePx6P58+dr9uzZEV9CTS2ZjmeXLl30xhtvaMiQIXXWbdq0SZIiytO7d29JCpUnmn/+858699xzo64rLi7W7t279bOf/Ux9+vTR2WefrbVr18Z8rsZI5+M7ZMgQHXTQQaH7//nPf7RmzRodf/zx6tq1q9q3bx/x+fD7/ZLU5N8hqXKMJenMM8/UvHnz1L1797j3z+k9XF/5m0I6H1+n9/CPP/6o77//XtXV1Tr55JOVlZWlc8891/FCXWOkyvHNzMzUqFGjQveNMSooKKjz/6u2pUuXRu0bGQgEVFlZGbF/HTp0ULdu3Ry/0xsqnY/vUUcdFRG0582bp927d4dCeSAQ0I033qiCgoKIC/YtqbmOfzDU/n979xvTxP3HAfxD13+AlSK1oowJZsXNZIyxYJZsmrAxxoQHWzRR9wfdjGMbSYXRsUUewBKdW0DdAx4sJBs4HS4xTEzYEnHOTZ0yIZo4R5ARGWyMhSKEtEqpre/fA9NLD9rrAe3k+vu8EhLvuN59eOfbr/ft3bd37tw5euKJJyg9PZ0qKirI7XZL1hOsPQZiNptpYmKCJicnhXWDg4PkdrtpbGxM1j5mS8l5SdVOJN3fysUD5/8jXq+XXn31Vbp58ybZbDZyuVyk0+lE2+h0OtEb1KelpYX27dtH1dXVpNVqaWhoiBwOB6lUKmpqaqIDBw5QU1MTvf/++0GPv2XLFtq3bx/19fXR1NSUsG2wN82GDRtoYmKC9uzZQx6Ph65cuUKNjY0h32T/JaVl6u/WrVv08ssvU2JiIu3YsUP0u7y8PLp8+TKVlZXR+fPnI/bJ5nT3O08pvi+w8K/H9+9A9cjR09NDo6OjZLVa6cSJE6TT6Sg3N5ccDsec9hdKNOd7/fp1euWVV2jz5s2UmZlJarWaNm7cSLt376Z///2XnE4nVVZWklqtjmgfspAzjrTp9UdCNOc7vQ37vqTKarXS9u3bqa2tjVwuFxUWFoq+7CaclJRveXk5/frrr1RdXT2n1wfqc3zLc+3TQ4nmfH/55ReyWq20a9cuYfBUXl5O27ZtEw1W7qdw5u90OsnpdNLu3bvp4MGD1NjYSCdOnAh4RXOunnrqKVqxYgWVlZWRy+WiGzdu0MGDB4lI3nnefCktL6nap5ve38om+6ZupmherxfFxcXQarX44YcfAAAbNmyY8aUPlZWVKCwsFK377rvvoNVqsWPHDtH66fMEW1paoNfr4fF4sGbNGsTHxyM+Ph5r1qwBANy6dQtbt27FAw88gNjYWLz33nt4/PHH8dlnn+HIkSPC9vHx8cIciJMnTyI5ORlqtRoZGRmoqamB0WgMazZzpdRMAWBychJ5eXkwGo24evWq5N+ZmZkpmrMSKQshT3/btm0Tzf+6dOkSiEg0d+b27dsgInR2dqKkpESU98DAgGh/jY2NM+Z3ud1u0f5cLheWLl2Kr7/+OkhKcxfN+d64cQMPPvggsrKyRDXZ7XY8//zzUKlUMBgMqKurQ0JCAlpbW2WmNjsLPePpps8pn0sbDlV/OEVzvoHa8PDwMIhINAfXbrdDpVLhwoULQY87V0rKt6qqCjExMTh06JCwrqCgQJTvdNXV1aI5kiMjIyAidHd3i7Yzm804duxYwOPORzTn29XVhYSEBLzwwgu4c+cOAKC9vR3p6elCny7Vf/wXwp3/0aNHQUQ4c+aMsO7bb7+FXq+H1+uddXs8e/asaPu9e/cCuDfP2WKxQK1WY8WKFairq4v4d88Ays0rWO3+gp0zyKGe/5ieLXRer5def/11On78OLW0tNBzzz1HRPduiZx+y9fQ0JDoNozW1lbavHkzbdmyhRoaGkTbGgwG0fIjjzxCLpeLxsfH6eTJk8JVSrX6XjOLi4uj5uZmamhooJiYGIqLiyOz2UyrVq2i3Nxcevrpp4V9+eZv5efn0/DwMNntdjKZTFRfXy+a63G/KDnT27dvU2FhIV29epXa29vpscceE7Y5c+YMpaSkUEZGhrBu9erV1NXVRW+88cac8wploeQpxXfM4eFhoQ36bk9KSUmhPXv20Icffihs77vNWIpGoyGNRiMs63Q6SktLC/vjfKI53z/++INyc3Np6dKldOrUKVFNJpOJ2tvbaWJignQ6HbndbrLZbBHpQ5SQcShzacNE0vWHSzTnG6wNJyUlkVqtptWrVwuvMZlMZDKZhKkN4aKkfCsrK2n//v30+eefU3FxsbC+sbFR9qNtiO7lq9PpaHh4WLj12e120+jo6IzbUecrmvO9ePEivfjii7R27Vo6fvy4cKzm5mYaGhqi5cuXE9G9bF0uFxmNRmpra6NnnnlGdk3zFYn8k5OTiYhE709f/jdv3px1e8zJyaFr164Jy0ajkYiIsrOzqbe3l0ZHRykxMZG+//57WrJkiezvqJgLJecVrHYfqXMGWWY1zGaKVFpaitjY2BmfunzxxRdIT08XfTteWlqacHXx/Pnz0Gq1KCkpmfFokR9//BGLFy+Gw+EQ1h05cgQmkyloHR988IHoqufZs2eh0WgwNjYWcPvu7m7k5+eLjv3ss8+ioqJC5l8eOUrN9O7duygqKoLJZAp4pbmgoADvvvuusOzxeGCxWPDJJ58ErSEcFkqe/gJ9Gp+amoqmpiZh+csvv8RDDz0ka3+BPm23WCxoaGgQlp1OJxISEtDW1iZrn3JFa752ux0rV65ETk5OwE/fi4uLcfr0aWH5q6++gtlshtfrlVXjbCglY3/Tr4iGEqgNS9UfTtGab6g2nJOTA5vNJiyPjIxApVKhq6tLVo1yKSXf2tpaqFQqHD58eLZ/4owrVgCwbt061NTUiGrW6/UzHqc0X9Gab29vL4xGI4qKijA1NSX6nd1uR39/v/BTW1uLlJQU9Pf3Y3JyUtb+wyUS+Y+Pj0Oj0Yj+v25paYHBYJDVFwZqj9ONjY1h/fr1GB8fF9a9+eab2LhxY8j9z4dS85KqHQjd38rBA+co19HRASJCfX296Dl/Y2NjmJiYgMlkQlVVFQYGBlBVVQWz2QyHw4G7d+/i0Ucfxbp16zAyMiJ6rdvthtPpRGpqKrZu3Yq+vj6cOnUKKSkp2L9/f9BaDhw4gFWrVuHy5cu4cuUKMjMzUVpaGnT7yclJLFu2DDU1NRgcHERdXR0WLVqE/v7+CCQln5Iz/eabbxATE4PW1lbR8X0dSFtbG/R6PY4dO4a+vj6UlJQgKSkJ//zzT9hz9FlIefoLdFLx8ccfIy0tDZcuXUJXVxfS0tLw6aefytpfoEFHeXk5UlNT8fPPP6OnpwebNm1CVlYWPB6PrH3KEc35vv3220hKSsL169dF9fkeJWO1WrF27Vr09PTg3LlzSE1NRW1t7ZyzDEZJGfub78A5VP3hEs35hmrDzc3NiIuLw9GjR9Hb24uXXnop7M9xVkq+g4OD0Gg0qKysFB1L7qO5Ap14Nzc3w2g04vTp0+ju7saTTz6Jd955R250skRzvgUFBbBYLPj7779F27tcrhnb3q9btSOVPwC89dZbePjhh3HhwgV0dnYiIyND1nPFAfkDwczMTOzcuRMDAwM4fPgw9Ho9Ojo65hOJJCXnJVU7ELq/lYMHzlHOZrOBiGb8+Dqvjo4OZGVlQavVIjs7G52dnQCAa9euBXwd+c1P+P3335Gfn49FixYhOTkZH330keSnRh6PB1arFUlJSUhMTERpaWnAztXfxYsXkZ2dDb1ej6ysLPz0009hyWU+lJzppk2bAh7fvzNqamqCxWKBwWBAXl4efvvtt3lnJmUh5ekv0EnxnTt3sGvXLhiNRhiNRlRUVMi+ehnopMHlcsFms2H58uWIjY1FUVER/vrrL1n7kyua8zWZTAHr880JdTgceO2117B48WIsW7YM1dXVEbkqqqSM/c134Cyn/nCI5nxDtWEAaGhowMqVK6HT6ZCXl4c///xTVn1yKSXf+vr6oMeTI9iJ9969e2E2mxEfH4/t27eH9RnOQPTm63A4gm4fqN3fr4FzJPOfmppCWVkZlixZAoPBgJ07d4Y8r/WRO3Du6enB+vXrERsbi4yMjIjMv/en5LxC1S6nvw0lBvB71g9jjDHGGGOMMcZE+HFUjDHGGGOMMcaYBB44M8YYY4wxxhhjEnjgzBhjjDHGGGOMSeCBM2OMMcYYY4wxJoEHzowxxhhjjDHGmAQeODPGGGOMMcYYYxJ44MwYY4wxxhhjjEnggTNjjDHGGGOMMSaBB86MMcYYY4wxxpgEHjgzxhhjjDHGGGMSeODMGGOMMcYYY4xJ4IEzY4wxxhhjjDEm4X9QtVYjxQul2QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "k2.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}