From e413f3d9f0104fb7c3d7dd08895dd7e0c3f2afcc Mon Sep 17 00:00:00 2001 From: chzhang Date: Tue, 17 Jan 2023 23:17:49 +0800 Subject: interactive 3d plot --- .../tutorials/02_interactive_3d_plot.ipynb | 1222 ++++++++++++++++++++ 1 file changed, 1222 insertions(+) create mode 100644 vis/animation/tutorials/02_interactive_3d_plot.ipynb diff --git a/vis/animation/tutorials/02_interactive_3d_plot.ipynb b/vis/animation/tutorials/02_interactive_3d_plot.ipynb new file mode 100644 index 0000000..4a07513 --- /dev/null +++ b/vis/animation/tutorials/02_interactive_3d_plot.ipynb @@ -0,0 +1,1222 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "59f94a05", + "metadata": { + "ExecuteTime": { + "end_time": "2023-01-17T15:13:13.742845Z", + "start_time": "2023-01-17T15:13:12.926966Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib import cm" + ] + }, + { + "cell_type": "markdown", + "id": "2a47f033", + "metadata": {}, + "source": [ + "$$\n", + "\\begin{split}\n", + "&z=f(x,y)\\\\\n", + "&z-f(x,y)=0\n", + "\\end{split}\n", + "$$" + ] + }, + { + "cell_type": "markdown", + "id": "8f1d268b", + "metadata": {}, + "source": [ + "- $z=f(x,y)$ 是三维空间的一个面（surface）\n", + " - ax.plot_surface(x, y, z)\n", + "- 在 matplotlib\n", + " - y=f(x), plt.plot(x, y) 描点连线\n", + " - z=f(x, y), ax.plot_surface(x, y, z) 描点连面\n", + "- 自变量和因变量\n", + " - y=f(x)，x 是自变量（independent variable），y 是因变量（dependent variable）；\n", + " - 确定了 x 就唯一地确定了唯一的 y，自由度为1\n", + " - 对于 z = f(x, y), x, y 是自变量（independent variables），z 是因变量（dependent variable）；\n", + " - 确定了x, y 就唯一的确定了 z，自由度为2\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b8f4b631", + "metadata": { + "ExecuteTime": { + "end_time": "2023-01-17T15:13:15.018448Z", + "start_time": "2023-01-17T15:13:15.014355Z" + } + }, + "outputs": [], + "source": [ + "xs, ys = np.meshgrid(np.arange(-2, 2.01, .01), np.arange(-2, 2.01, .01))" + ] + }, + { + "cell_type": "markdown", + "id": "a8b6a015", + "metadata": {}, + "source": [ + "## $f(x,y)=\\exp\\left(-(x^2+y^2)\\right)$" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b8ffffc4", + "metadata": { + "ExecuteTime": { + "end_time": "2023-01-17T15:13:41.988816Z", + "start_time": "2023-01-17T15:13:41.981347Z" + } + }, + "outputs": [], + "source": [ + "zs = np.exp(-(xs**2+ys**2))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "080e1ddd", + "metadata": { + "ExecuteTime": { + "end_time": "2023-01-17T15:14:26.388367Z", + "start_time": "2023-01-17T15:14:25.827168Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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qbH421Pr6OhsbG1y5ckWvcFsJh8EtdVQ5DEHSgiDg8/nw+XwcO3YMRVF0sbO8vMzo6CiiKOaIHbfbrZ+nmtDOtuwoikIymSSRSOivMcWOicnhwRQ3JlVTKmhYK+AG8M53vlMvx18pmkjaLWbMzeFgt9Wh8xFFEb/fj9/vp6urC0VR2NjYYGVlhcXFRUZGRvReVlo8j8vlKrDsaGvSsv1kWS4ZoFyt5c/EZE/Yi4DiQ7LNmeLGpCqyWyhookZVVR48eMDo6ChNTU3EYrFdCxtAb8uwW45iEb+jKqT24nMURZFAIEAgEKC7uxtFUVhbW+P+/ftEIhFef/117HZ7ThNQLR6sVMdzrcJ2dtHB/L5YptgxMdk/THFjsitKtVBIJBL09/eTSCS4du2aXr+kGmrllqr2YmQKjuqo1ecniqLumqqvr6e1tVXveD47O8vg4CAOhyNH7DidTqC02JEkiXQ6XVLsVBJjZmJiGFYe2av8I3rYJtVQyg21uLhIf38/jY2NXLlyBavVSjKZrPqidVjcUkeRWsfc1PJz1OazWCyEQiFCoRCQ6XiuiZ3p6Wnu37+P0+nM6YvlcDiAysROdhNQU+yYmOwtprgxqQit0nB+0PDg4CBTU1NcuHCB9vZ2/fXVChNtjFpYbqq9kB/VruC1ZD/ETT5Wq5X6+no9+F2SJL0v1sTEBAMDA7jd7hyxo7ldtxM7o6OjWK1W2tvbC6onm2LHZE8wLTcmJtuTXbsGtqw10WiUvr4+AHp6evB4PDnvM0rc7LXlRlEUJiYmUBSF+vp6vU5KJXOYVEet3XrlWoqsVisNDQ00NDQAkE6ndbEzNjZGNBrF4/HkiB2t8Wu22Ekmk/pjWsdzKN4qwhQ7JibVYYobkx1RFAVJknQ3lLZhz8zMMDAwQEdHB2fPni26IVcbDGzEGDuJm3g8Tl9fH+l0GqfTycTEBIIg6BerUCikZ9NshxlzUx375ZaqFJvNRmNjI42NjQCkUild7Dx48IBYLIbX680RO1arNSf1PNuyowXlp9NpIPN5Z4sdLRvLxKRiTMuNiUkh2Rtvdml8SZK4d+8eCwsLXLp0iaamppJjHBS3FBS/mGlxQs3NzZw6dUp/XEsdXlhYYHh4WM+m0cSOFnORP8dRo9aCrdbixggLid1up6mpSf8dJJNJvS/W8PAwiUQCn8+HJEmIoogsy3ovNS0eJ3tNptgxMQwR41PBq9vOa4YpbkyKoqoq6+vrRCIRQqGQLmzW19fp6+vDbrdz8+ZNPYukFEZYbvZC3CiKwvDwMJOTk1y8eJG2traclPbs1GFZlvUA04cPH3Lv3j095iIUChEMBvXxTXbPQXVLVYrD4aClpYWWlhYAEomE7sJaXFxkbm4Ov9+f0/G8HLGTSqV0F1d+gLIpdkxMcjHFjUkB2ma6tLTEw4cPefrpp1FVlYmJCYaGhjh+/DgnT54sa0Otti8UGCtuIHOx0dxQN27cwOv1bvv+7GyakydP5sRcaG4Ip9OJqqqEw+Gci9VecRSF1GFxS1WK0+mktbWVhYUFGhoaCIVCumXn3r17pFIpvQloMBgkEAjoFqVyxU5+zI4pdkyAvXFLHZKtxxQ3Jjr5tWusViuqqpJKpbhz5w7r6+tcvXpVT5ktByPSsI1onAmZ49PcUE1NTZw/fx6r1Vrwup3Ij7lIJpOMjo6yvLxccLEKhUL4fL5DGyBaa8FxFMWNhqIoCIKAy+XC5XLR1taGqqrE43G9L9b09DSSJOV0PM8+f7LFjva7UhSFVCqVUz3ZFDsmjzqmuDEBiteuEUWRVCrFK6+8gt/vp6enp+JKwwfJcjMyMsLU1BTnz5+no6OjqjVl43A4CAaDxONxLl++rF+swuEwDx8+RFEU3QURCoX0Jo4muRwVt1Ql8wmCgNvtxu12097erreD0MTO1NQUiqLkiB2v15vT26qU2NFixk6ePGmKnUcV03Jj8iijbYbZtWtUVWVubo54PM758+c5duzYrjZEbaxqLiTVihst5XZhYYGnn34an8+367F2otjFSmviGA6HGR0dxWKxFGRiVTrHUWU/LCm1opwAZkEQ8Hg8eDweOjo6UFWVaDSqi52JiQlUVc1pAqqVLcgXO+l0muXlZU6cOEEymdw29fwon1MmjyamuHmE0dxQWjZUdguFvr4+4vE4DoeDrq6uXc+xXaZSuVRj/VleXtbr8Fy9erWgDk821WzwpQSYIBR2rF5fXyccDjM3N8fQ0JBe6l8TO9X04TrMGJW9VMl8tRZTlR6fIAh4vV68Xi+dnZ05YlkLUhYEIUfsaJZB7fPUBIx2k6GqaoHYyW4CanY8P0LsReNMM1vK5CCTX7tG29AWFha4ffs2TU1NnDx5ktu3b1c1T3Y9j92yG8uNqqqMjIwwPj7OuXPnGBgY2PMg33IQRZFgMKhnWGml/sPhMJOTk9y9e1cvCKdlYmXHBdWaWgqAR9EtVSnFxLImdpaXlxkdHdXPMS1mLruMQ7Z1J1vsJBIJfXxN7GT3xTLFjslhwxQ3jxilatfIsszg4CAzMzNcuHCBtrY21tbWDAkGhoyY2q24qFTcJJNJ+vv7icfjPP3003i9XgYGBvb04rlb11l+qX+tIFw4HM6pkaKJHb/fb/TSDxSHTWxUwl64wURRxO/34/f76erqQlEUNjY2CIfDzM/PE4vF+Pu///uCjuem2HlEMGNuTB4F8lsoaJtbJBKhr68PQRDo6enB7XYDxgUDa3NXM0a5719eXqa/v5+6ujouX76sWz2MyNraaY1GkF8QTquREg6HGRgYQJIk3cLmcDjw+XxH5kJzGC0plc6312637BpNdrudhYUFuru7WVlZYX5+nqGhIb0gZbbYAcoWO8U6nh+Vc/DIYcH4q/wuLwmf//zn+cxnPsPc3ByXLl3ic5/7HNeuXSv5+hdeeIHf//3fZ3JykoaGBn7oh36IT3/60zvWVtMwxc0jgmatkWVZvxtTVZXp6Wnu3r1LZ2cnZ86cydl8jRA32Zab3VJOlWNVVRkdHWV0dJSzZ8/S2dlZsOHuJG60jXy37IV40mqktLa26pk0vb29+n8BgsEgoVCIuro63G634Rca0y1lDLuJuakGVVVzgteBnIKUs7OzDA4O5sR81dXVFXQ8h1yxoygKyWSSRCKhZ1WaYsdkO774xS/y7LPP8uKLL3L9+nVeeOEFnnnmGQYHB4tWuP/CF77ARz/6UV566SV6enoYGhriJ37iJxAEgeeff76sOU1xc8TJr12jbTySJDEwMMDy8jJPPPGEXrMlm4NiudmpynG2G+r69etFXTdGVErejlps5lomjd1up6uri8bGRt0Fsbi4yMjICFarVXdh1dXVlX2XU4paCo5HwXKz32IquyAlbMV8aWnnd+/exeVy5fTFKiZ2tOPR9hdZlkkmk2xsbGC1WvWYH1Ps7DN7EVC8i/Gef/55PvShD/HBD34QgBdffJEvf/nLvPTSS3z0ox8teP0rr7zCzZs3ed/73gdAd3c3P/qjP8rrr79e9pymuDnCFKtdIwgCa2tr9PX14XK56OnpKXkBzG5VUM0dpxFF+EpdZMPhMH19fQVuqGLs9YW6VkJA+14EQdDjLbQ2EVom1vT0NPfv38fpdOpCp66uTu9WfVA56mJjv8VNPvkxX5Ik6dW3JyYmGBgY0FuNaGJHy+bTxE520sDs7CwOhwOXy6UXFdTcWNl9sUyx8+iQSqV46623+NVf/VX9MVEUec973sOrr75a9D09PT386Z/+KW+88QbXrl1jdHSUr3zlK7z//e8ve15T3BxRStWuGRsbY2RkhBMnTnDixIltNxkjMp3AmCJ8+e/PdkOdOXNmxzo8e+0OOAibdb4LQrtQhcNhxsbGuHPnDl6vVxc7wWDwQGSQaeyHW6rWbqJazrcbMWW1WmloaKChoQEgp9XI2NgY0WhUz+bTziFNMGvuY81FpVl2JEkinU7roiY/ZscUO3vIXgQUb96nrq+v5zzscDgKGgoDLC0tIcsyzc3NOY83Nzdz//79olO8733vY2lpiXe+8536OfThD3+YX/u1Xyt7maa4OWJoZuKRkRFEUdQv+qlUiv7+fiKRCE8++aR+AdwOIzKdtHGMtNxoxxKNRrl27RqBQKCscap1se3EQev3lH+hSqVShMNhVlZWGBwcJJlM4vf7dbHj9/uLXnyPYvsF7bs66pabasVrfqsRLZsvu6+az+fTg5MlScppAppv2SkldrKbgB7WViWPGp2dnTl/P/fcc/zmb/6mIWN//etf51Of+hS/93u/x/Xr1xkZGeGXfumX+MQnPsHHP/7xssYwxc0RItsNFY/HdYuNlkEUDAa5efNm2a4JI4KBoXrLTbY4WllZoa+vj0AgQE9PT8XHslcchjtPu92e0606Ho/rYie/TYRW+faoxtzUWtxoF/aDbrnZifxsvmQyqTcBHR4eJh6PE4vFSCQSBdbBcsVOfvVkU+xUwR5abqampnLiG4tZbQAaGhqwWCzMz8/nPD4/P6/vRfl8/OMf5/3vfz8//dM/DcDjjz9ONBrlZ37mZ/j1X//1ss4JU9wcEbRKw5obymKxIEkSQ0NDTExMcO7cOTo6Oira7LJjbqrBCMuNoii6S+306dN0dXVVvHHvtIZqLwQHzXKzEy6Xi/b2dr1NRDQa1cXO2NgYoigiSRILCwtYrVa9PspeUWshBUffUrTXMVYOhyNHMH/729/G5/ORTqdzrIPZHc93Ejtax3Mo3irCFDsHAy3ebyfsdjtXr17l5Zdf5gd/8AeBzLn58ssv85GPfKToe2KxWNFgeCh/nzDFzSEnv3aNZq2RZZn5+Xnsdvuu+ylpm89+x9xolZQnJiZ46qmn9Oq+la5hL6m15cZoIZBd5l+rfLuxscGtW7cIh8NMTU3p9VE0N1apO7Vq11EL9kvc1Npysx9CoL6+XndjZXc8n52dJZVK6U1ANbGT3fF8O7FjWnZ2wR5abirh2Wef5cd//Md58sknuXbtGi+88ALRaFTPnvrABz5Ae3s7n/70pwF473vfy/PPP8/ly5d1t9THP/5x3vve95btajXFzSFGq12jWSS0H/nc3BwPHz7E6XRy48aNfY2XqXaM1dVV+vr6UFW1IpdaPuXUyqmWw2a52Q6tGJzFYuH8+fO43W491kJLGXa73TnBydVaCY6yW0o79w5attRez+lyuXC5XLS1taGqao7YmZ6eRpKknI7nPp9vW7Gj7XnpdFp/TXbMjpaNZbKJiPGp4Ls4pX7kR36ExcVFfuM3foO5uTmeeOIJvvrVr+pBxpOTkznnzcc+9jEEQeBjH/sY09PTNDY28t73vpdPfvKTZc9piptDSPaPPDsbSpZl7t+/z+zsLC0tLYYEFBpV62Y3vaHGx8cZGRmhq6uL0dHRqi6e5Wx41WyKe10BOX+uWqEdk8ViyUkZTqfT+kUqO7BUEzvZ7odK56oFpuVmb5BlueScgiDgdrtxu926KzQWi+nn0dTUFIqi5Igdr9ebI3ayzyltH7xz5w4ul4uuri7dJZ+fjWWy/3zkIx8p6Yb6+te/nvO31Wrlueee47nnntv1fKa4OWSUql2zsbFBX18fVquVnp4eFhcXWV5ernq+/bDcpNNpbt++zfr6Ok899RQOh4PR0dGq1lALy82jhM1mKwgs1eJ17t27RzqdzsnEyr4j3w7TcmMctQ5ghsoytLSilB6Ph46ODj3uSxM7ExMTqKpaEOSeXedJq5ysWW60mz7NjVUsZueREjt74ZaSDR5vjzDFzSEiu4VCdu2aqakp7t+/T1dXF6dOndJLohtxMTdCFFRi1VhbW6O3txev10tPTw92u13va1ON26Lc91Uz/lFyS1WKw+HIaRORnYk1OTmJqqo5Jf49Hk/R9hhHVWxkN6mtFQfBLVUJ2XFfnZ2dqKqqdzzXgtwFQcgROx6PB1mWddFSzLKTSqX0goKPvNh5hDDFzSGgVAuFdDrNwMAAKysrXL58Wa9nAsZYXLRxjOgMXk5vqImJCYaHhzl16hTd3d05d2jaaw6q+DjsAcXbUemxZbsftDvySCRCOBxmeXmZBw8e6G0itH8ul+vIpp1D7WvcaHMeJLdUpQiCgM/nw+fz6UHumthZXl5mdHRUn8tutxMMBnN6q2WLHe3cKiV2pqamsNlsnDx50pC1HxhMy43JQaWUG0oLtPV4PPT09BRkrhgpboyw3Gw3Rjqd5s6dO6yurhYtMJhdb6eau8Kj0n6hlhhxTNkXqa6uLhRFKdq8UcvQSqVSeon/veIodgTPZz8adWrNOvcCURT19GPtPNrY2OD27dtsbGzw7W9/WxfN2R3Psy1mpcTOZz/7Wex2O5/97Gf3ZO0mtccUNweY/No12gV6dHSUBw8eFFg4sjlI4mY764/mhvJ4PNy8ebPoRS3bcrNbjprl5jAjimLRNhGDg4MsLS0xPT2N1+vNKfG/Xc+w3WBabvZmPqhd0LSW0We1Wjl16hTBYJD19XVWVlaYn59naGhIL1+QLXaAArETjUZ3VWLiwHNAGmfuB6a4OYBk167R7vgEQdC7X8disR3bDhwkcVOqN9TU1BSDg4M79rk6DOIGjqblphZobSImJiZob28nFArpcRbDw8MkEgm9EJyWiVXtBfRRsdzU8hizrcu1RIu5ye+tJstyUQthtjtUs3hHo1G8Xm/Va/nGN77BZz7zGd566y1mZ2f5r//1v+qF60rx9a9/nWeffZaBgQE6Ozv52Mc+xk/8xE9UvZZHHVPcHDAURdGL1sGWG2ppaYn+/n7q6+t37H6tve+gBBTnr0WSJO7cucPKygpXr14lFArtuAY42OLmKFtuat1bym6309zcrNfAyK6NMjMzgyRJOUGlPp+v4jUehVYI5cx5lC03Gpq4ycdisRAKhfT9RZIkXexotZo+/elP09bWxsbGhiH7QzQa5dKlS/zkT/4k/+Sf/JMdXz82NsY//If/kA9/+MP82Z/9GS+//DI//dM/TWtrK88880zV6zFjbkz2HS2yf3V1lTfffJPv/M7v1IXF0NAQk5OTnD9/nvb29rI2yYMUUJwtLNbX1+nt7cXlchWNFSr1fqiuDcRRstzsR52bWs1V7NjyC8FlpwuPj48jCELO3Xh2UGmlc+0Vj0LMTbb7vJaUm35utVpzajVJksTS0hJf+9rXeO2113j55Zf5whe+wHd913fxXd/1Xbz73e/OSdIoh+///u/n+7//+8t+/Ysvvsjx48f5d//u3wFw/vx5vvWtb/E7v/M7xogbC8Zf5SWDx9sjTHFzAMgPGtYi+WOxGH19fSiKwo0bNyoym4qiqI9XDUbF3MiyzOTkZFluqHyMaANhWm4OPuV8P/npwlpQ6crKCouLi4yMjGCz2XLEjtPpLDqXGXNjLEZmSpWLdlO4myBmq9XKD//wD/PDP/zDvPvd7+YTn/gE9fX1fO1rX+O3f/u3+fM//3P+4i/+Yg9WvcWrr77Ke97znpzHnnnmGf7Fv/gXezrvo4ApbvaZ/No1VqsVVVWZmZnh7t27tLW1cfbs2Yp/vAcp5kZVVebm5kilUly5ckW/c6qEgy5uYH8q7B41KhUAWlBpIBCgu7s7J85ienqae/fu4Xa7c8SOzWYzLTdHYD4wLs4nEonQ3NzMD/zAD+gxMlq/vr1kbm5Od79qNDc3s76+Tjwe1wOgd81euKUOiWo4JMs8epSqXaNdtO7evcvjjz9ecOKXi1ats1qqjbnZ2NhgcXERq9XKzZs3d91s8aCLm6Nsual1obtqyI+zSKfTek+ssbEx7ty5g8/nw+VyoShKyXgNo9kPMVVrQVWrzzIbbW+qZl7N1ZnfXNjoDD2T2mJ+e/vAdi0Uent7Abh27VpZ7eRLocXKVLup7jbmRlVV/c7Z4/FU3UW62tifo2a5qRWH3Rpls9lobGzUu1Qnk0lWVlZ0S+I3vvGNnF5Gfr9/TwTBftScgUejl1V2c83dEovFcLvdBq2qfFpaWpifn895bH5+Hr/fX73VBsxUcJPaoRWNyrfWaPEo3d3dPHjwoOoiZtmF72rdFVySJO7evcvS0hKXL19maWnJkKDkgxxQfJQtN7Vkrz9Hh8NBS0sLVquVZDLJ448/rgcnP3z4EEVRSvYyqoZax9zsR+bSfokbI6xFxSw3teDGjRt85StfyXnsb//2b7lx40bN13LUMMVNjdDcUOl0Oqd2TSqVYmBggNXVVT0eZXR0tOpg4P0SN5r1yW6309PTg9PpZHl5eV86ixv5/nI4ipabWlJrK5EoigVdqvN7GWUXHMyueLvb+WrFfoib/XBLGRHErDXaNELcRCIRRkZG9L/Hxsbo7e0lFApx7NgxfvVXf5Xp6Wn++I//GIAPf/jD/O7v/i7/8l/+S37yJ3+Sv/u7v+M//+f/zJe//OWq1wKYMTcme0up2jUrKyv09fXh8/lyqvMaES+TLW6qHafcMR4+fMi9e/dyGnhqY6TT6arWUQtxEw6HmZub0y9klfjca10LppYcppibauYq1ssov+JtqSJwu5lvL9mPLuSH1XITiUQADCni9+abb/Jd3/Vd+t/PPvssAD/+4z/OH/3RHzE7O8vk5KT+/PHjx/nyl7/ML//yL/PZz36Wjo4O/sN/+A/GpIE/4pjiZg/R0hQ1a012SvODBw8YHR3l9OnTdHV15WxCRlUFhurFjSAIO1qRZFnm7t27LCws8MQTT+jxDdlj1FJkFWM7caOqKmNjY4yMjNDY2MiDBw+Ix+P4fD49OLWcWIyjaLmp9THVsiv4TnOJokgwGCQYDHL8+HFkWdaDk7UicFo82U6C+FGoOVOtlXi/5oxGowB4PJ6q1/Pud79729/MH/3RHxV9z61bt6qeuyim5cbEaLJbKMBWrZZEIkF/fz+JRKJkCwUjatRoQXZ72RcKMnc9vb292Gw2bt68WbSmiNGFAI18fzqd5vbt26yvr/PUU0/hcrkQRZFEIkE4HGZlZYXbt2/rsRia2MkvFGdE5/JHnYNQMHA7LBZLThG4dDqtu7CyBXF2mwjtwrsfMTe1Pg/3o86NEZabaDSK2+2u+dprgojxAcCH5GMyxc0ekF27JjuSf2Fhgdu3b9PY2MiVK1dK3uUZlcZtlLgpNcbMzAwDAwMcO3aM06dPl9wcjLDc7IW42djY4NatW7jdbnp6erBaraRSKQCcTidtbW16VVwtFmN5eZkHDx7oheI0sVPrC8lRtRIdJheYzWajqamJpqYmABKJhC527t69iyRJeiZWIpEwYtllsx8uov1ySxlR48bj8Zg3JUcMU9wYSKnaNYqiMDg4yMOHD7l48SJtbW3bjnPQqgvnjyHLMvfu3WN+fr6oG6rYGAfNcjM9Pc3du3c5fvw4J0+e3FaA5cdiaIXiwuGw7p7Q0kiXlpYIhUI1N8/vJUcxnmgvhJTT6aS1tZXW1lZUVSUWi+liZ3l5Wd8fNFFcTpuI3bJf4mY/AoqrnXO/0sBrgumWMqmWUrVrotEofX19APT09JTl1z1I1YXzx4hGo/T29mKxWOjp6SmrFoNRlhsjYm4UReHevXvMzc2VJcyKkV8oLpVKsbi4yODgIENDQ6RSKQKBgP6a3TR2PAjU2jpUa8vNXl78BUHA4/Hg8Xjo6OhgeHiYZDKJz+djaWmJBw8eYLVaCzKxjOJRstwYEVBsWm6OHqa4MQBFUYhEIrzxxhv09PToPzbNbdPR0cHZs2fL/uEfJLdUtqiYnZ3lzp07dHZ2cubMmbKPxwjLjRFF/NLpNK+99hpA2cKsHOx2O42NjQwODnL9+nVSqZQer6NlRmS7sIy8iB0lDnrMTbU4HA66urro6upCURS9TcTMzAyDg4M4nc4csVNNrav9Ehq1ruprVECxEZlSBxLTcmOyG7Jr10DmR6IoCqqqcvfuXRYXF7l06ZLuky8XI91SRtTLURSFgYEB5ubmdn08+x1zk0gkWFxcpL29nfPnzxu+8WsXSkEQ9NopHR0demNHLc18aGgIp9NJKBTK6XW0m7lqhemWqp78i3B2/ZwTJ04gSZKeiTUxMcHAwABer1d/TTAYrEg4PAq9rMCYmJtoNGpIppTJwcIUN7sk3w2lbTxra2vcvXsXp9NZMntoJw6S5SadTrO2toYsy7u2dhhRQG+3Y2hp9wsLC9TV1XHx4sUd56mG/DVmN3Y8fvy4fhELh8N6ryO/369bdgKBwIHJ2tgPt1Qt56q1uNlOxFqtVhoaGmhoaAAyrk4tXmdoaIhkMqmfJ1om1nbnyX5kLu1XzE2lNwf5HGlxY7ZfMKkEzVpTrOHl22+/zcmTJzlx4sSuN8+DElA8NzfH8PAwVquV69ev73qz3K9sqVQqRX9/P7FYjLa2trLXv5sLX7mvz7+IJZNJwuEw4XCYgYEBZFnWy/+HQqFHKhbgsGVL7eV8drud5uZmvXFuPB7Xxc709HTBeZLfJmI/LDf7lQq+mxvIbI60W+oRxhQ3FZBfuya7hcLt27cBuHjxIu3t7VXNY1RA8W4tQIqicP/+fWZmZuju7mZxcbGqTcuomJtKjmVtbY1bt27h9/u5ceMG4+PjJJPJHd9X7UWv0uN0OBw5GTbRaFQXO6Ojo1itVt2FFQqF9Iq4RzEVHI6uW6paseFyuXC5XHppgmg0qoud8fFxBEHQrTqhUGjfLDeH0Vp0pMWNGXNjshNa7ZrssuaCILC8vEx/fz/BYBCbzWbIj2Q/3VKxWEzvTN7T00M0GmVhYaGqddTScqOqKg8fPuT+/fucPHmS48eP51SG3iuMuFAKgoDX68Xr9erl/7WUc621hcfjQZIkXC5XzXr51FJw1Ir9cEsZNV/2edLZ2anHda2srLCwsMDw8DAWiwWLxcLs7GyOKN5L9sstZUTMzZEVNxaMv8qbbqmjQXYLhfzaNSMjI4yPj3P27Fk6Ozv5xje+cWACgbVxKhEV8/Pz3L59m7a2Ns6dO4coisTj8T2vclwO5YgTrQ3E4uKi3oS0kvcbgZFzZAednjx5Uq+IOzw8zMLCAjMzM3uacn7UU8EPk+VmO7Ljurq7u5FlmaGhIdbW1nRR7Ha7dauOdiNmNIe5QrHmJjY5OpjiZhtK1a6Jx+P09/eTSqV4+umn9W6yRokSi8Wiu76qoVxxoxUZnJ6e5rHHHqOlpaXiMYxYx3bsJE5isRi3bt3S6+/k++EPg+VmJ7SKuLOzszQ0NFBXV8fKygrhcLgg5byuru5QFiY7quKmlu0QLBYLTqcTVVW5cOEC6XRaz8R68OABsVhMbxOhBbEbYXE5rHVujrTlxnRLmeST3UIhuwHd/Pw8d+7cobm5matXr+akZx6kLKdyx4nFYvT19aGqKjdu3CjIGjgIadw7rWNhYYH+/n7a29tL1hM6jJabndBSztvb21FVVU85z+5grVl1dpNyXmuOsluq1gG+2ULDZrPR2NioF6xMJpO6KL53755edFITOz6fb1drPcyNM7UbVJOjgylu8ijVQkGWZQYHB5mZmeHixYu0trYWvNdisRwqt5TmhmptbeXcuXNFN4mDbLlRVZXh4WEmJiZ47LHHin4n272/2GuqWd9+IggCfr8fv9+vuybyU86zu5xXknJei2PTvpujUqE4n/1onFnq+BwOBy0tLbS0tKCqqp6JpcV2ZTeJraurKztj77C6pY50+wUzFdwESruhIpEIfX19iKJIT09PyR+CkW6pvbTcKIrC0NAQU1NThoiCndiLMZLJpN5d/caNG2WZlctZg9F1bvaL/A7W2XfrAwMDSJKU0+W82AVsP47lqLql9kNMlXPRzy46qVkA85vEWiyWHHdnqVpXh7WIXyQSMS03RxBT3GxSqnaNFpC3U+drOJhuqXyxFY/H6e3tRVGUsnpdGd3CwYgxVldXuXXrFnV1dVy+fLmsyq1GBDXvtD6onSAoNU9ieZn7X/gCC729qIqCs66OEz/wA3R+93fn3K1rqcSaZSf7Alar7Jpix1MrwbEflpSDVDSwFPlNYhVFYX19nXA4zOzsLIODgzgcjhyxY7fb9cSLw9Y4U2twemSL+JkxN48u2bVrtLsrQRCQJImBgQGWl5fLbrB4EN1SWmsIyMSm3L59m+bmZs6fP1/WpqCJgmrudI2sczMxMcHQ0BCnT5+mq6urojXttfDYL9dU5OFD3vjkJ5n/9reZGxlBVRQsgHYGvfUf/gNOn48z/+gf8e7f+R2sDkdBKrHW52h6elrPrgkGgwBIkrTn8TpHOTNLm2+/Ym6qQRRFgsFgzrmglSfQ2kR4PB79eSNuyspFa3VjxtyYFOORFjeKohAOh1lbW9Mr2AqCwNraGr29vbjdbm7evFn2XexBdUspisLw8DCTk5NcvHiRtra2isaA6gL3jBBIqqqytLSELMs8+eST1NXV7WoNe02tL9L3/viPef03f5Pk0hIyYAcsHg+yLGO3WIhHowAkNjbo/9M/5cGXvsS7/o//gzMf/jDWzYyy/D5HWsr58vIyAK+99hp+vz8n5XyvLtRH1S1Va8vNXokpq9Wa4+5MpVKsrq6ytLQEbJ0rtWgnou2RRoibIxtzY1puHi2ya9esr6/z8OFDOjo6UFWVsbExRkZGcgrAlctBdEul02neeOMNJEkqOzYlfwyoTtxku2x2s8FHIhFmZ2f1mKfdukyOiuVGEATiMzN89ad+ipHXX885Vxx2O9FNQQObYgeIA37Akkzy97/xG9z59Kfp+L7v4+k/+iPEvO9VSzmvq6tjdnaWp556SrfsTE1NAeTE67hcrkMXq1RrS8phtdzshN1up6mpiUAgwNzcHDdu3NAD2bXYrvxMLKN+J9mxkbtFc9EeWcuNiPEBwAej9d2OPHLipljDS0VRSCaT3L59m2g0ylNPPaWbWSvhoLmlYrEYS0tLtLW1ceHChV2JEyNiSbIFUqUb0dzcHLdv38br9eLz+XYtbI6S5Wbpi19k4cUXWZHlHGHj9nhYzxI2AKnN/zYCSUBKZR5Zi8eRvvQl1i9f5ru/9jXsWQUP83E6nXi93oKU88XFRYaHh7Hb7Tkp53a7veJj2o9sqaNsual1cK8sywiCoLeJ0NqJxGKxglpM2ZlYbrd715+LNmc1x5lMJpEk6eiKm0eYR0rcFKtdY7FYSCaTvPLKK9TV1dHT07Pr+IL8GJfdUq0FSKuePD09jcfj4fHHH9/1WNnCZLfsRiBpGV0PHz7kHe94B+vr6yQSiV2vodL5d0MtLl7f/uf/nMX/9J+QPR7SeUIm/2+NAJn4GycZsaPJ5ijA+DhfvXKFd3/lK/h36JgO26ecazEY1RSIO6ri5lFIPc//ngVBwOPx4PF4dMt4tjAeGRnBarXmBCdX0gTTqDRwwAwornTMQ8AhWWZ1lKpdoygKMzMzJJNJLl68SEdHR1UbgpGWm92KiUQiQV9fH+l0mlOnTrG4uFjVWrS+TNWIm0oFUvYxaIUFI5FI1dajw265ef2f/BPG/+f/RBQEwtEoNsBlsyHabIixGMU6gFkFAZuqogAS4HI4SMoy6c0K2FFAWFnh5e/+br77q18lcPlywRjb/SbyU85TqZTe+PPevXuk0+mcFhH53as1jnpA8UEQG3s9307irZgw1jKxpqenuX//Pk6nUxc6OxWeNOIYI5GIng5vcrQ48uKmVO0arTJvOp3GarXS2dlZ9VxGZjntZpylpSX6+/tpaGjg6tWrLC0tHYgYoEosN+FwmL6+Purr63MqQBtRK+cwW25uvf/9GWEDOFWVTjJuJtJp1HQaURBoVVVswCqwvvm+dp+PjfV1fZxkMokbiAkC6c3PIyoIWBWFv/ve7+X7Xn8dz8mTwO4+L7vdnpNyHovFCIfDevdqLXhZEzvF2mTUAtNyYyy7qTejlR/QkgMkSSooPOn1enWxEwwGc8SMUa0XPB5Pzevz1AzTcnM0URSFVCqVY62BTBzHnTt3aG1tpbOzk9dee82Q+Yyy3GhuqXI3YFVV9Sae58+fp6OjAzA2MLkaYVCO9UdVVcbHxxkZGdEbkWYfe7Xi5jBbbkZ/67cY/tKXCHm92CIR5vOeDwJLm/Nq7qeQy8WGlCKaJWw0YoBfVQmTiQ1sUVWcioLF6eT1Z57hO/r6sBpgps92S2gp59qd+szMDIODg7hcLt2io72nFuyHuDnKMTdGWFGsVisNDQ16E0vNCriyssLg4CDJZFLP2qurq0OSJEMK+JVbgdnkcHEkxY3mhkqn0zm1a2RZ5v79+8zOzuoNIhOJREVCYjuMzJbSjmOnNSWTSfr6+kgmkzlNPLVxjFiPUUX4Sl34JUni9u3brK2tlQzmflQtN+EvfYk7zz9Pi9eLEolkrDV5FJPTsXic0yKsCrBQ5LDXgRafD8fGRmaMdBqXKCJubHDne76HS6++auRhALk1U06cOIEkSXqw6fj4OABvvfWWbtXx+/17doGudQfyo5ottZfzZVsBIVOAVBM7Dx8+RJIkLBYLk5OT1NXVlXR5bseRbr0AZvuFo4SiKEiSVOCG2tjYoK+vD6vVys2bN/US4trdhizLZVW63Q4jLTfamrbbMJaXl3UXzpUrVwrWX8sGnLsdY2Njg1u3buFyuejp6SmZaWOUa6yc11UjgowUUKm5Oe5/+MMELBaUSAQV2Mh7jRNYKfJeO7ChZCwzHSI8zPvoRMC7sYHDaiWyGX8TSSap93pI3r3L8D/7Z3T/yZ8Ae2dNsVqtekPHeDzOq6++Sltbmx6DoSiK7rYIhUJVZdbkU0txo523R9lyU4u+Ui6Xi/b2dj1rb2xsjIWFBVZWVhgbG8up16S1idjpMzctN0eXIyNusmvXaBuXdqGanJxkcHCQrq4uTp06lfMjNFLcGCkmoHQArqqqPHjwgLGxMc6dO1cyEPogiZtiomFmZoaBgQG6u7s5derUthtMtaLDCOtTOXMYycj3fz9SPI66uW6FQiuNi0LBA9AqZsQNQFopFDhaGUeJzCYgbf69GovjA1b/x/8g/Md/DCdOGHMwZSAIAm1tbbS1tek9jsLhMEtLSzx48ACbzaa7JEKh0K5SzjVqbbmB6uqxVMpRsNxshyAI2Gw2PRtUURQ9E2t+fp6hoSG9RIEmdoqVkYhGoxXX/jpUmDE3h5vsFgqwFeORTqe5c+cOq6urXLlyRc/oyCbbZVUtRllutE232Fhaw8h4PM7169fx+/0lxzlI4iZ7DEVRdPfgpUuXaGpq2vH9RoibWmCU5Wb+t38b69Jizuee8rghGst5XfHkb5CylqECkgJNHjcL0Rg+tizLsiThZisAWVYUcDpQE0nmP/lJ+L3fM+R4diL/c8vucdTV1YUsy3rZ/8nJSe7evbttsGk589X6nDjqAcz70VdKO0ZRFAkEAgQCAY4fP66XKNAKT969exePx6MLnUAggH2z4KVRaeCf//zn+cxnPsPc3ByXLl3ic5/7HNeuXSv5+hdeeIHf//3fZ3JykoaGBn7oh36IT3/60xWlw5uU5tCLm+zaNdkFnVZWVujr68Pr9e5Y1dZId5JR4qZY/I6WSVRuw8iDElAMW+JEa9ypqio3btwo299thFvqsFhuUm9+G8vn/z0baUl/zCrARp6w8ZDJjMqnwesmHsl9rQLYYnG8okiDy4maNVYc8LldbMTiAKwmktSTacIZ/Pzn4ZlnDDmu7dhJbFgsFj0WBzLBplq8zv379/WU83Ir4dYym0g7746yJaUWbqlic5YSVPklCtLptJ6J9eDBAz772c8yMjLCiRMnSKVSxOPxkt3Oy+GLX/wizz77LC+++CLXr1/nhRde4JlnnmFwcLDozdsXvvAFPvrRj/LSSy/R09PD0NAQP/ETP4EgCDz//PO7XkcBFoy/ypsxN3tLqdo1qqoyOjrK6Ogop06doru7e8dN7KBVFtbG0jbF7GMqlklUzhjVYIQwEEVR941X0rgzew2PguVGWVlh4/3/G/FEio2soax2kaAKTTYFLB7E9ShpwOVyMhdPkD1rQEgXjcNJqyrH6t0klqLkr1JNxbEIIG8+ERPAqoLyzW+S/tu/wfHMP6zquMqhku/IbrfT3NxMc3OzLpq1+joTExM5Keda/EU2Rznm5lEIYNbmLHcPsdlsenwXQGtrK1/5ylf4q7/6K/2Gsaenh+/5nu/he77ne7h+/XpF39fzzz/Phz70IT74wQ8C8OKLL/LlL3+Zl156iY9+9KMFr3/llVe4efMm73vf+wDo7u7mR3/0R3n99dfLnrMsTLfU4aJU7ZpEIsHt27eJx+Ncu3aNQCBQ1nhGp3AbgSaUUqkU/f39xGKxHd1QxcaotmGlNk41x6V9XyMjI1y4cEFPVa8EI8RNLbKlqp1j/ad+gvT0LBteF0QylpROK+Bx4w5HNvspZJxRNouFYDxBowWww/1Exh0VjZauku1TVRrdMJFr2CEpQYMb5jcfj6vQAKRUlal/8cucfLUHIVhZs9JKqPa7dbvduN1uOjo6cuIvZmdnGRwc1IvDhUIhgsFgzd1StRYaUHtL0X64pXYbd9XV1cXP/uzPMj09zWOPPcav/Mqv8PLLL/Pyyy/zl3/5l7z55ptlj5VKpXjrrbf41V/9Vf0xURR5z3vew6slsg57enr40z/9U9544w2uXbvG6OgoX/nKV3j/+9+/q+MxKeTQiRtFUUgkEnzzm9/k6aef1v2Ti4uL3L59m/r6+rJcNtkYabnRApur3VgsFovenTwYDHLjxo2K20IY0fRSG2e34iadTtPf348kSZw9e3ZXwgYOh7ipltT/9yVSX/8GKhCOJ/EJ0GUBCZGFcCTntTaXlVg847ZKy0AczllAdsJsiUAcjxOU5RhxoMkFC/Hc51fj4LJCXAK/z4Hf5sCxss7awhJrP/pDBP/mZcOPORujxEZ+/EV2cbgHDx4Qj2cOfG5uDlEU9zTlHPanOjHUVtzsl1uq2jljsRg+n48zZ85w5swZfvZnf7biMZaWlpBlmebm5pzHm5ubuX//ftH3vO9972NpaYl3vvOdeszohz/8YX7t135tV8dRkkc4FfzQlGXUToBkMomqqiSTSRRF0YNTe3t7OXPmDO94xzsqznoyOoW7WuuNdqxDQ0OcOHGCJ554Ylf9rozoC6WNs5sx1tfXeeWVVwDwer1VBcpV6xo7DJab6Mc+hiLJJH0emgWFDkCSQPEXfm7WIo+lZWhU4HyJ0IEGB2iXWGsabHnXW0UFrx263XByI0kwvI4/4OSMKmG9dw/ppf9718e2E3tpSdGKw505c4ann36aGzduYLFYSKVS3L59m29+85v09fUxNTVFNBo1/DzZL8vNUU49B+MqFO9HttTXv/51PvWpT/F7v/d7vP322/zlX/4lX/7yl/nEJz5R87UcVQ6F5SbfDWWxWLBYLEQiEfr6+lAUhRs3buz6JN2L+jS7TSvXNtx0Os3p06fp6ura9Xq0zUaW5V03A9XGqVRYPHz4kHv37nHixAlOnDjB66+/vq8VhssVHvF4HJvNtqvvr5qLifR//WuSYxMAuFUJRUKPi0nGYwWvl+ORgscAUimQZbjYAHeXQTtkUQAxsjWmJEFbEfeUT4CG9FZquLSRQLWKONYjWP+v30L9oX+G4C/P3VsJtbSqOZ1ORFHkxIkT+Hw+IpEIKysrLC8v8+DBA6xWa06X8912otfYj+rE8Gi4pYxqv1ANDQ0NWCwW5udza4fPz8/rBQjz+fjHP8773/9+fvqnfxqAxx9/nGg0ys/8zM/w67/+68Z9d2bMzcFFqzSc30IBoK+vj/b2ds6ePVvVSW5kllM1aeVahlcgEMDv91edEmiU5aYSi4Qsy9y7d4/5+XkuX76sl1Lfb7fSTu/XWliMjo4CEAwGCYVC1NfXV1Tka1drnJ8h8n//IQChJh8rC1mVawSI5DVDF20C0fXCefx2kFOZ/08twYUmG3cX0qhAgxfUvII48RjUOWBls+xxMOAksJZAzDrtVBkUt4IlDvJaHMdH3o/0x39d+TGWwX60Q8hOOT927Jiecp6fQpwdr1PpXrMfbqnD6CKqFCOO0wjLjd1u5+rVq7z88sv84A/+oL62l19+mY985CNF3xOLxQrWrp1XB919flg4sOImv3aNJmwkSeLevXtIksTJkyc5ffp01XMZKW52Y+XI7qukWWvefPPNAxPkXO4xxWIxent7EQSBnp6enAwVI1K590rcaHFBkUiEp556CoDV1VWWl5cZHx/PSUPernjcbi9g4i9+kMTiCqE6J1YrOZlMghPUvNgYl08lGS4cx+lxkkhtKaHUQppzzW7uzcfwQEGGFICPTIVjUYDWtIIApBJgc0B6U/TEYuATQUnKCN/8OsKbf4/65M1dHWspDkqvp+zv+uTJkzkp51p/o+wu5zulnMPRL6i3X3MaYbmJxWKG1Ll59tln+fEf/3GefPJJrl27xgsvvEA0GtWzpz7wgQ/Q3t7Opz/9aQDe+9738vzzz3P58mWuX7/OyMgIH//4x3nve99rrAXMTAU/WGi1a7J9x4IgsL6+Tl9fH3a7Ha/Xm9NHqRqMEje7GUtzQ21sbOT0VTKyT1UtxM3i4iL9/f20trZy7ty5go1uv2NmSr0/Eonw9ttv43a7uXHjBpA5/7xer555k188zufz6Re3QCCQc6yVrtHyt/+N9f77+EI2QpYkc8lcM026yPVCLXEtVeTCLClpPsbpIKTWtuJtskkkodW9uQfGUvrj2ddrVQbZDZY4JCQH3l/+IPFvDu18cBVQ67vVcsVUqZTzlZUVJicnAXK6nBerlfIopGUbITT2Y06jYm5+5Ed+hMXFRX7jN36Dubk5nnjiCb761a/qQcaTk5M538nHPvYxBEHgYx/7GNPT0zQ2NvLe976XT37yk1WvxSTDgRI32S0U8mvXTExMMDQ0xPHjxzl58iRvvPHGvgmS7aik1s3q6iq9vb34fL6CvkoHtbpwPtkdyS9evEhbW1vR11UbM2OU5Sf7ojY3N8ft27fp6urSLYDpdK5AyO5Xo93Ja/VUBgYGkGVZv7hp45eNqmL/N79CanWFTh+oaYit5b4kKolkSvBtES+SDWV3WkitFz/vAipIblgtkUVltdsJpKWcefKtN/F4pmigEk0izy1j/cIfIr3vQ+UdZxkcFMvNdmyXcq6V/Hc4HDnxOjab7ch3BN+vOasVN6qqEo1GDbtJ/shHPlLSDfX1r38952+r1cpzzz3Hc889Z8jcJXmEs6UOlLgp5oZKpVLcuXOHtbU1rl69qlcotVqthgoSbd5qKUcoaWJteHi4ZKFBowoCGtUXqtgYqVSKvr4+4vF4QUfycseoZA1GFfFTVZXh4WEmJiZ4xzveod9dlTN+dqfi7P5Hi4uLxGIx7t+/Tzgc1i9u2wUm2/7gM8RW12gPgpCAmB2U7NPQDclY7mdmL+zAAICv3k56Ol74BOByuHCl40QsIBU5pYK+FCERwvniJ+CBhcyDigSqH4QYxNMCgd/5LSI/+tO5Jp4qOejiJp/tUs7Hxsa4c+cOPp8Pp9OJLMs1EwC1thTBwS/iVwqzt9QuxzwEHKhlZgf5QabdQH9/Pz6fj5s3b+ZYNoy0tlitVpLJpCFj7eRO0vpdra2t8eSTT1JXV7ww2kFzS+V/1prVKRAI0NPTU1YriP0OKIYtN2A8Hq8qw04bM7v/0RtvvEFDQwOSJOn1VPx+vx6YnBOfkUrh+LMXEKUolk1PVCzvdFZ9wKaQsTosCKpcUtxYrBaKle4TLGBfS6DK0NXm48FUblSxIEIoCjYVRDsoW54p0gtRLH4BeTN4OZEAlwrKeoqU34b9d/81qV/4eOUfXBFq6ZYyorBlMbSUcy2IPplMEg6HmZmZIZFI8I1vfCOny/ledaM+rEKjUowIYjayt5TJweJAiZvsirpa1+szZ85w7Nixgk3AYrHU1NpixFhaUT6t39V21TUPkuVGFEXdXaOqKlNTUwwODpbd3gIOjuXmtddew+fz8fTTT1eVHl9qDq/Xq/eSSSQShMNhlpeXmZqaAtBdFp3/76dATWPL0hrRrOxu0QZuDzS0gSchIG6eC5IDog2wIsLCKqQ3xUh6sXhquDcI4tpmV+rZDZraYGFm6/lgM9g2u2bWtcHyeO77rS4VefN5KQWqN2NlSq5H8f3JH5D6uV8DAy5qtXbdwN5bihwOB62trfrfZ8+e1eN1RkdHsVqtOfE61aacazwK2VKKoqCqqiFuKdNys4sxDwEHaplaC4W+vj6SyeS27Qb2K06mnLHyL+KqqjI5OcnQ0BAnT57k+PHjO26sRrnKjIy5kWWZgYEBlpaWclyE5Y6xnzE3CwsLQKanzOnTp/fkwpY/ptPppK2tjba2NlRVZX19PROfMT7KqS/9GapVQdz8SNIWSMcAUaCuU6XOCsoGkIScPKcoeNKZ+JdWl8B8h8pqBOSF4mtyOe2wtmWOCcZg2QZa7HHIYkWramNdLbTeJBdB9Igo0cxnn1JFnChI6yD54tg/+3FSz35ql59YLke515PFYsHr9eL1ejl27FhOoLpWE0pLOde6nO+2VtajYLnJrnm2W+LxOIqiGBZzY3KwOFDiZnFxkbfffpumpiauXr267Y/barUWBH/uFiPjd/JFVzqdZmBggJWVlW3dUMXGSaVSO79wB4wSN6lUildffRWbzUZPT0/FNXj2y3KjKApDQ0M8fPgQYFthme0S3S2l1igIgh6f4fyTf43Q7EEcX9efj1nA5oHmdnBJoFpByfOUqn4HhLcetEgqbfPQfBwmZUgsF87riOX+RtQIHOuAsXFw+MG9kiWg0xBsg/B41hsUsPkVklHwdIGvzorNKiBHk0jxFI7/8sekfukTVVtvau2WgtqKqWIxddmB6ul0Wk85Hxoa0lPONcuO3+8ve721rqujzbkfVZirETexWMa/e6TdUqbl5mBgs9k4f/58yYybbCwWC4lEYsfXlYPRlhttrLW1Nfr6+nC73QUxQ7VakxHiJhKJsLy8TFdXF2fOnNnVJmZEzA1U5r7QAp6TySTXrl3jlVde2dOLaFkCLBbB+nd/DZ4kZLmkVBt0tIpYpcx3pRTZs1WfDEXq23hUOGuHsQ5Yf7j1uKNRxLJS+N1bZzLuKm8QhMXc52xrINgymVsa6TDUXfESSEdATqEEXNgB1Q2qnMT+4m+T+vnf2v64y6DWndsPUuNMm81GU1OT7tLM7nKuuTSz43VcLlfJ9ddaaKiqWnO3lDZfNd9hJBJBFMWi6fsmh58DJW7q6urK9n8e9JibyclJBgcH9fYDlf4ID0IquKIoDA8PMzs7i8/n49y5c7tehxGWGyhf3KytrXHr1i0CgQCXL1/WN979rv7p+OyzqA02xMXklrcpCAERBHnr81GLGe3kIue7AKyDRYaTCox1+1gdz6gmT1DJVOjLR4FWT6ZuTQEpCLbCyuTWQ/4u8NUBm64vcTWO6rYipCUEXxLrN/4rqZ/7zaoyp2rdpRv213KzEy6Xi/b2dtrb21FVVU85X1hYYHh4WE8518ROdvzYfogbqM6KUilGBhPX2oVXS1QRVIO/FvWQfFwHStxUwl66kqpBEATm5uaQJKniuJT8Ne2nuEkmk/T19ZFKpTh58iThcBGTQYXrqOYzzm4lsdNmND09zd27d3Pim7QNeF8tN8k4tr//awQhtmW1CQItIMzmvjS/VQKAslb4mBjKBPgCCCp0xzcYPe5gfSyJcxuvpkUCVwjkInHI9jiZlroKOJshYAciWSlaCqh+O8KyBAkQfQ+xfun3kH7w50tPuANH2S1VbWq2IAj4/X78fj/d3d3IsqynnI+PjzMwMKAXlqyrq9uX4F6ofRdyMw3cZDsOrbjZz6rCpVhfX2dubg6r1UpPT09V2Q9GuqUqHWdlZYXe3l5CoRBXrlxhYWFhz2rlVPJ+2P4iqCgKg4ODzMzM8MQTT9DY2FjR+7NftxfY/59fA7uSscrErdBihYYEqupGZEs8qFYgz+OqeoAi4sbiz32tqMLxZJKRDrCWCDIGsDeAzQVFz4wY+Lo9RCai1DdtVjaOKagBO8JmcLIQjqGqm8+lwPE/X6hK3MDRdUsZHQNjsVior6+nvr4eyNyIaPE6d+/eJZ1OY7PZmJyc1K3he3ms2v5yGMWN2+02aEUHE9ma+Wf0mIeBA7XMSn6ARrulqrnwqqrKw4cPuX//Pn6/H7fbXXVa535YbrKLC2an4BsVlGxUzE0xkskkvb29SJLEjRs3im5a1aaTl7PGkuPLMrb/9Z8R0omMmdgpIjQlMkWBhdz3KMUy1P0UFTfFLicWCU62wkY0N3YmG7sIQhRsJyH9oPB5lyIjnLRgy5I/qsOBwKa4SYDa6oZwDGIq4tI8tr95gfT3/4viE+5Ard1SRgSPVzLfXl74HQ5HTmHJ+/fvE4vFWFlZYWxsDFEUc6omV9uQNx9NvB22LuSaW6rWwde1xBQ3h5C9sNzsZoOVJImBgQGWl5e5cuUKa2trbGwU8SlUSK1jbiRJ4s6dO0WzuowQBUa0T4Di4mZ1dZVbt25RV1e3bZZdOcexV+LH9l8/jZDazHRKC9CdzmRgq8BSblqUYvWRE21M6X5SQolTzeoF7xnYuEV+9wbEYEYAAVhcDtJisuA1QiSB/6oVsmriCEuRzI6h3VNsOt+FlIwqurB/5bOkv+8XdpU5VWu3VK3bIdRqPkEQsFqt+P1+Tp8+raecr6ysMD09zf3793G5XDldznebcq5xWOvqRCIR0y11hDm04sbomBvI/GAq+aFvbGzQ29uLw+Hg5s2bOBwONjY29s2dVGqcnURFJBLh1q1bOByOou40o1o4GGG5yV+HViOknIKC+2m5sb3xFwibqf1qvQ9xNZMGrrqsCIk8C+RGYaSvmnaS76sS/SAU77iAKlqwJWVcj0O8L28tW946hPUktiuQfjP3NdaLINY5YWYrKEdQVNSggBDePMb5SKbgThpU2YawuIzty58i/f+rvGrxflhuasV+NM7U9rHslPMTJ06QTqf1eJ3h4WESiYReRVvrcl7pWmsd46PNacbc7IxkEZAsxp7rkkUlp/bWAeXQihujLTdQeOHcDu2i2t3dzalTp/TN0ih3kpFuqe3cd7Ozs9y5c0dvHlls09/L/lSVvD9bPCiKwr1795ibm+PKlSt6/MFOY+y1uCmG5e//FGF10wRSB8LqVn0b1eZCyLLSKHYB5nK/L9UC6kJh2QMxJMBikeOxAdHMb8MpQ6oN5CwLjDVgg7Utf5VF2uw+rn09VrBayYgXP7C1XFDtbFYWRFBBDTgQlpII4XVoELB/4/8l/d6PGdpzymj2w3JTy0yi7SwpNpuNxsZGPR4tHo/r8ToPHz5EUZSCLuc7fVaHsWkmPBoxN48yB0rcVBpzs1tXUj7aD1OSpB1r0UiSxN27d1laWuLy5ct6H5n8dVWLUW6pUsUAteDb6elpLl26pNfX2Ku1VBtzA1viJJFI0Nvbi6Io9PT0lF2nYq/FDRR3rzje/izCUhrsoDS4EVe2goeFaG66klpvg9m876vJDVOFDaVEt5d89xUA7SBsDiEA3mZYWwAkELxgW88NxBHCIFyyod7KPG45B4Kmr9rIETfCShK1BYS5zQc2pxdkUFw+xNkFrN/6A6R3/fPCdW2DabkxjkrcYC6XC5fLpVfR1lLOFxcXGRkZwWaz5cTrFNsf96OvlNk0szxkqxXZauy5LltVKNrJ7mBxoMQNlH8B2q0rqdSc5VhKIpEIvb2921bp3c8sp1Lj5B+XJg5kWaanp2fHuxcjREG1lhttjLW1NQYHB6mvr+fixYsVbXD7YbkRh/8OcWoIIa3CcSCZe5ETlvPWY02BHWhyIpAABNT6NDykwBIsJkvkegeArOJ8ljQ4n/KTeHUd2xkQi+ghh5AmIWTmsATQjDMoGyKiqOTE5AhZXkthPQn1QASElRg4wP53v1exuIHaZksd1Zgbbb7dXPhLpZyvrKwwMTHBwMAAXq9XFzuBQEC/mTuslpujLm4eZQ6cuCkXTdAYIW5gZ4uLVjulq6uLU6dOlfwxH0S3VPY4y8vL9PX10djYyIULF8raIA6C5UZrqHrnzh3Onj1btJnqTuyH5cb5tV+DqAfqI+AEYXLLUqM6RITI5ucqgHrWjdgYQ3SBoGpuKBWa06ieTNq2NA7qJOAAFkuImyJflSu6TqoDbIWxypnpl8By0YWyEMeSFd8sxhXoBkazjnFmU+Bsvk61ZCxEwpqE2u1EHB9HHPlblFPfW3x9RTAtN8ZhlJjKTzlPpVJ648979+6RTqcJBALY7fY967ReCqOK+JXbDuewIlssyAbH3MgW03Kzp2iltyVJMqSbbilxI8syd+/eZWFhoaB2SiXjVIomBqr1Z2vCRFVVxsbGePDgAefOnaOjo6PsjcjI5pu7QfsOFEXh4sWLdHZ27mqccsRNNZtzQf+gB19DnLsLSzboABUbQnRrUxBsm59HB6idVgQllkn3zl9iBARls03MMZBPgBR2IDzIaz4FmdzwIinjggKeUyCuFz6nYfUJyG4KxVGe/hXSZATP+OYDaxbwyJAEFTtiPIHjbz5F/BcqEze1Yj8sKbWeby/ElN1uz0k5j8VihMNhZmdniUajfOtb38qJ1zE65TwbWZar3vej0eiu9xKTg8+BEzeV3F3vdSE/zQ1ltVq5efNmWT9WI1O4ofqNSgsovnXrFuvr61y7do1AIFDxGPuVLRWPx+nt7QUym2s1HXxrbblxfOtTkLAh1KczAiH/ZkcGLgN2EBQJnBT0jlJdIkI097O3SMAVoAF4PW/MVrZStfOwCUA7cL/488JMDOt5YCnviWUglLc2LUvrAqghkP1OrOkEaiyNugiW4fuIC7dRmh4vPlmx+U3LjSHUIsBXEAQ8Ho9eJ2ZpaYnu7m5d7AwODuJyuXSxU1dXZ4iFXcPIOjdHGQULMsae68ohyJSCAyhuKmEvWzDMzMwwMDDAsWPHOH36dNmbhVGCazcZXMVIJpOsra0RCoXo6empqHmnhmZFquaisBuBFA6H6e3tpampiQsXLvCNb3yj6nTymsXchEexPHwTVfEheFYzz2dZbXCSCdbNTuUuFhfd5ICJwnxviyWZ8QW9B9SXs+oA1lG0uSYALWSsQhaKliYWOkBttsBSkSeb8sZdAG4AIoiqjGBRQAKLJ47SJqDelVD/v39J8n/7q7LusI+yW+qoWG62m89isRAMBgkGg0Am8ULLwnrw4AHxeFxvEaF1Oa9mjUbE3MRisSMfcyNhQTJY3EimuNl79qJ5pizL3Lt3j/n5+R2ziLYbp1q0H341Y01PT/PgwQNsNhtXr17d9Qa7m47cxcYoV1hkV0o+d+6cbjo2ohDgXrdf0MZ3fOuTCJIMrKPvLZsuIdVrRziTgvm8Nxc5NMFVopCN1hAzAuq7fQhf39gSLqWwAavA40BvkeebgDUFvJlxc1hH7zcFoF4GoZmtwOUVFTUgZAKnZSfi+Ti2sQG+8b++ij3QQigUor6+Xg9CzecoF/E7ipabbIoJDavVmpNynkgk9C7n09PTesq5Ztlxu90VfSdGNs40OZocOHGzm3RwI7BYLMRiMV577TVEUawoxTgbo2Jlqml7kF0D5vjx4ywsLFS1mRvhIis3W0qWZb3is9GVkmtWxE9Vsd3/CorHhRjNiBPVIiBEVVSfDc7IGRGSv5TCbG89aDeHvFYMYnwDeoC/BzUmIBS7sxKyxldBdYCQzHteAEFWoYNC11UCOEYmzqadjADKWq+gAm4V1kCIxBHqwdac5nuSX+Lh8X/D8vKyHoQaDAb1O/js8vem5cYYDqKYcjqdtLW16SnnkUiEcDjM0tKSfgOWHa+zk4XZzJYqDxkLctEmLdWMWX3YRS04cOKmEowUN6lUirGxMY4dO8aZM2d2vTlku5Oq3WB2I260GBVVVenp6SEajTI3N7fzG3dYB1TnIisnWyoWi9Hb24soity4caMgxumgixsN663PQTwKTfVofifBroIbeExASMsoVh9iftpSMXfScpHHGsmkhmcjg/ouEB6UOL5mQEuuSoHwGPDW1tNq21ZtG1W2gFXeqnWjvcbjAUsU4cRmjb4kmbRzTWhtWnsEAAVEMYp1/hWaGhtpamrKCUJdXl5mdHRUr6OiKIohsWrlcNQtN/vRFbyS+QRBwOfz4fP56OrqQpZl1tbWCIfDTE5OcvfuXbxery52gsFggZCpNuZGVVWi0WhVMXwmB5tDLW6MiLmRZZn79++zvr5Oc3Mz586dq2o8I+vvVFrrZnFxkf7+flpaWjh//jyiKBKPx6v+jIwSN9u9f3l5md7eXlpbWzl37lzRzfKgixttfPub/xG11YcYz1ImEvAOENIZhSHmF5vxUChusoVDNiVCWNRuL2pdBPHNIk82AtGsv9OguiwI8cy5IZ22YVvNxAQJURnlEghv5Y2xEEX5LhFLOut7zG7yub45TwzUhBXBLSHYI9hu/XvSV34pJwi1s7Mz56I2NzdHKpXizTffNCwuoxSm5cZYsts97AaLxaJ/55C50dTide7fv08qlSIYDOpix+fzGRZzc9TdUntjuTm41cezOdTiplrLjWYpEASB1tZWQ1LKtU3MqKDicgSFqqo8ePCAsbExLly4QHt7u/6cUZWBjWifUGwdqqoyPj7OyMgI58+fp6Ojo+QYtYi50QKnd4s3/DXExUk4Y4GprCfqya0vk2+RKWaFr6e4uClVYiIYQdgApQvEibzn8juNp0F5hx/L65ngHbFU+/BsHECXAiNZj0XIicXR5hHiEnhAiGxgnfkT0ld+qWC47Iua1WplY2ODhoYGwuEwt2/f1uMy6uvr9VYARnDULTf7EXOzm0SFUtjtdpqbm2lubkZVVeLxuB6vMzExoe9Fy8vLOJ3OXZ8Xj4Jb6lHmwImbSmNudhtQPDc3x507d2hvb+fs2bMMDw8bIkjKrXZcDuVYblKpFP39/cRiMa5fv47f78953qi1VGv1KCZMtE7kq6urZaWoG2F52WvLTePoH8ExCySlrXiZY2wFAENGyMzkvbnYV1TqelEqGyplQ1DSqF2gLuQ11SwWl5xaRfWA6gNLnogSZ0HpBnF86zH1ic0aN9lIoNaJCMubB7C6+bgAisWHKG0gphYQ5l5BbekpsfDM92KxWGhtbaW1tTWnFcD8/DxDQ0M4nU49MLmabtaHtaheJfPtR7bUXiAIAm63G7fbTUdHB4qisLGxwdtvv004HGZqako/L7QAZZstX8kXX/OjIG5My80hZTduKUVRuH//PjMzMzz22GO0tLQApXsw7QYj08G3EyZra2vcunULv9/PjRs3iv6oBUE4EL2u8oVJLBbj7bffxmazcePGjbKsZkYIrL0UN47kJK6VB1CnIqxlPivVD0I9uZaaIt0u1CiFW0axYOIghZlMgCqCsJz5nsUYKE+D8LXN59rygoc3sSRU0ld8oEQRo4XfrdqOXqhPtQsINhVhBZQWELPCuBSvFcvy5m8nRia+JwLCegTVBUIkjXP0k8RbvlzkgDbHz7Om5LcCkCSJ1dVVlpeX9W7WgUAgp5t1uQLiKFtutGSGoyqmRFHUb+Aef/xxbDab3uV8dHQ0J+W8rq6OQCBQdG2xWAxVVc2YmyPMoRY3FouFdLr8MtCxWIy+vj492Da7p5KRwcl72RcKMhvYw4cPuX//PidPnuT48eMlN7PsCsXVZkwZFXOjxQa1tbVx9uzZsjfGg2656Vz791h8GxnrxjqoooBwXC0sqqcW+XM127ezSRELjdpgQ5gqPOdT7VYcya2JxA1QHgfxNqitIKwUvCXzumgCpUHJjcfRnpshI07ioD6uImrD1wFZ4kacS6E6QdA6Rmx+nUJcRal3I6xHsay+CcklcOQ2ms1mu/PTarXS0NCgN6rNd1WIoqgLnVAotK1YPsoxN9r5XctGlrUOYNZcxxaLpeC8SCQSerzOzMwMsizr2Xl1dXV6dl4slkn1MyLm5vOf/zyf+cxnmJub49KlS3zuc5/j2rVrJV+/urrKr//6r/OXf/mXhMNhurq6eOGFF/gH/+AfVL2WfEzLzQGiUrdUPF6iDkge8/Pz3L59m7a2tqIBq0anle+VW0prRbC4uMiVK1f0vi/brQWq39CNsNwAPHjwgNHRUS5evEhbW1vFY+x1xtaukeJ4V++ARQRJyVT5PWXLtOfOS/FWY7lWGiUElnDecfkoGm8juzxYdd9P1vSNFhwPc1WUEADVQ6ZgYAnEtITSIsBC4eciJEG5CMKbZIKbN60/QnjTUqS1xZJB6hawjmyOEUbfWUQhc/BKEhyDz5F8x+eLrqPS89PlctHe3k57ezuKorC+vq7XULl3717RBo+7nataamm50X4fR9VyA1vxjMXmdDqdOa7NaDSqZ+c9ePCAqakpvvzlL3P16lWCwWDVcZZf/OIXefbZZ3nxxRe5fv06L7zwAs888wyDg4NFa6SlUim+93u/l6amJv7iL/6C9vZ2JiYm9OKHRiNjQXpExU1tW7kaTDmCRKv5cvv2bR577DEuXLhQ9Eex160cdjtO9sVcq8MTjUbp6enZUdiAMZlOUL2w0N47NTXF9evXKxY2YIw42StxY5/8JBZxA0HKdNBWfXYEd8ZVo67l3UUv595TKL4im0WJr1aWi/mq2OytkIuQAPUaKLHS6ibVZUW0gFpqv1JBOQZi1rRCHJS8ljw5sThJMuIMYC4zthBWsS7+Nyjx+VfrbgwGg5w4cYInn3ySd73rXXR1dZFOp7l37x7f/OY36e3tZWpqimg0ui/ZS7WaT/udHZWYm2Joe+tOcwqCgNfr5dixYzzxxBO8613v4h3veAfNzc38+Z//OaurqzzxxBM8++yz/M3f/A3RaBHz5Q48//zzfOhDH+KDH/wgFy5c4MUXX8TtdvPSSy8Vff1LL71EOBzmr/7qr7h58ybd3d1853d+J5cuXap47sPG5z//ebq7u3E6nVy/fp033nhj29evrq7y8z//83qyz5kzZ/jKV75S9nyHWtzsFHMTj8d5/fXXCYfD3LhxQ4+vKcZBd0stLCzwyiuvEAqFuHbtWtlN6YwSN9UIi0gkwptvZvKTr127VhD0XC61iLnZ7UXINv/niJpbKAF0ab4Z9HRrABwgRHItLKrbQeRJFxvvdqF8pxveBZwApcuNmvcLtSwVFzeWeInzTbaSDJZet9wgYEmoyGdLuDVnQb1Y+LiQl6AizqgoWeELqrAZ/5UGwQdCPIEQX8H68P8puRajBIDNZqO5uZnz58/T09PDk08+SSgUYnl5mW9/+9uMj4+zsbHBwsJCRW7t3VJLMbUf4qbWbiltvko/U4vFwqVLl/jsZz/L7/7u79LS0sLHP/5xIpEIP/dzP0coFOL+/RKN14qQSqV46623eM973qM/Jooi73nPe3j11VeLvuev//qvuXHjBj//8z9Pc3Mzjz32GJ/61KcMu/bkI2Pdk3+Volm4nnvuOd5++20uXbrEM888w8LCQtHXaxau8fFx/uIv/oLBwUH+8A//MCcTeCcOvVuqVLbUwsICt2/fpqWlhXPnzu2o8g+qW0qSJIaGhpiYmOCxxx6jtbW14jHAGHGzmzEWFhbo7++no6OD8fHxquph1CLmJhaLsbGxQSgUKr+f2MqXQIkibMbUqh4RQU1szpdbMVh1ORBIooogPS4g1Klgt+NdyGrXbQG1HkQ5hnRKIJWy4biVRrWCda3wO1BsYF8qfpGOtDqwOGTUyaz+U9lrt2ye8yXiKlULmYrEed3EhUVQ7ejHLKggtwiIG5lJ1BUZrJtzanH6CSv2mT9E6vzJwnn2yKKm3b1rd/CyLDM4OMj6+jpjY2PcuXMHv9+/Z7V1tPiQWrqltNINteIwZmdpBfz+6T/9p/zwD/+wXk7j+PHjZY+xtLSELMs0NzfnPN7c3FxSJI2OjvJ3f/d3/NiP/Rhf+cpXGBkZ4ed+7udIp9M899xzVR3TQSbbwgXw4osv8uUvf5mXXnqJj370owWv1yxcr7zyip4o093dXdGcB07cVEIxQaIoCkNDQ0xNTVUU12GUtaXUunbL9PS0XrF3N2mLRtSogcrFTXbtnccee4zm5mbGx8f3tQjfTpab+fl5+vv7ddGcXWMlO/g8H8fk/4mQ2jRpa3vu5tevSl6ErAI3iuBAPZlC6FSxpVVIgxQvNIersYwIskoqVjGFfA3iogPvt5IFIiXVYcMZLS5uFJ+Ifz3K6iUvwd7cNCvZLWCPZRZqjajIHQKWh7mDqydBTOTG2EDGDaUcAyGr5o2QyLxXcQikHxcRWvzYEgmERCLTg2pFQPTcheRDcOTWM6qV68Ziseh1US5cuEAymdQDk2/fvo2qqjltAKqtraOdb7UUN7UUGtqchy2AWesrld3649SpU0Ysb1sURaGpqYk/+IM/wGKxcPXqVaanp/nMZz6zJ+JGRkTetuHcbsasDM3C9au/+qv6Y5VYuL70pS/R2NjI+973Pv7Vv/pXZZ9rR0rcxONx+vr6kCSpYjFgZIfxaoNvIeNvXFhYwOl0cuPGjaosHkasp5Ix0uk0/f39RCIRnn76aXw+n77J72WV43IoVUgwW4gFAgESiQTLy8ssLi4yPDyM0+mkvr5er7Gi/8BSDxGYgvVMtpPaBMLs1hqF6FZ5AVUEqTOGfV3VY1Rklx3rUm4JAsVmQYjkup8sMliOqSS/24XwhoRjY0vMyCELlBA3ls2tyOVKIDtELMmttaW7rDizKgIqbWDJa+ugNFiwJmXkbjuW0bxSCXlaRJwDqRs4acNBiqQ7giBImW7n3aDetyHICo6JT5E883sFa92P3lIOh2PH2jqawN1NbR3tfKvlsdVa3OyHW6paMRWJRKqucdPQ0IDFYmF+PrcD7vz8fMkQiNbWVmw2W876z58/r1foNrIY4l6zvp5rznU4HEUDtPfLwnXgxE0lm0C2INHSizVfe6Un/0EJKFZVlcnJSYaGhvD7/Xi9XkPaOBgRUFyO1SQSifD222/jdrvp6enRTYqaBWk/LTfF3i9JErdv32Z9fZ2nn34aj8dDMpnUXRldXV1IkqSnlw4ODurl4Ovr6zke/yiCIwZRBdnjIOW249q01KiAupLOaAAnqE+4sa3FyD7Fk247bnJFQ8Lvw51YLVy/Ak4pTuyag/iAF9fcpiWmxOmhCuDabNzpSEusPuEj+PqWFUkNCjnF/awRFcVvQVzPnLuyzQKiCipseBwE89YpLGaysYSoNh6oV8C2lnmdbVXKpIirgATC+RjyYj3Wub8mcebzCFnq6CB0BS9WW0f73vNr69TX1+P1enfcr2qdvbRflpvDJm5isdi21thysNvtXL16lZdffpkf/MEfBDKfxcsvv8xHPvKRou+5efMmX/jCF3I+s6GhIVpbW/dE2GRSwffGctPZmZtV8Nxzz/Gbv/mbhsxhhIXrwImbStDcB4ODg0xOTu4qvVhDc0sZYR7frbiRJImBgQHC4TBPPvkkS0tLJJMlsmMqoFaWm7m5OW7fvk1XVxenT58u+Bxr0T6hkvfHYjFu3bqlFxK02+1Fgz+tViuNjY00NjbmNX9c4rjyLQQpjQpIJyXUxa1A75TDhyO9QcpvRXjMhsWaREzkDI0sFJ4ncaetWJ0/rJHMutxSkuR5maTdgWMyiTVW/FyLNzlwZ2VXeYkg+R1Y1zOPWfLq6ggqLJ320/hWpijO2ik/ITXz//6VCEmfFcfGVoyboECiI4RzMIxqzVQwFrM+OlGCpNuCIypn0t/rQGxeQZhRsaz+EUrwg/pra5lRVO5c2d87oH/vldTWOepuqeyaM7XioFhuAJ599ll+/Md/nCeffJJr167xwgsvEI1G9diSD3zgA7S3t/PpT38agJ/92Z/ld3/3d/mlX/olfuEXfoHh4WE+9alP8Yu/+ItVr6XWTE1N5SSHlEqr3y8L14EUN+VexCRJQlEUFhcXdx2ToqFZR4zwH+8mficSidDb24vNZqOnpweHw0E4HDYsMHkvxY2qqgwPDzMxMaGnWhZjL1o4VEL2/OU06iw1htb88bj3qzhXUqTHg8idUZximvTqVlxLUgDBb0V9h4BdjRO11eHJ6cMAYrrw81CUwiB52QG2LFeVQ5GQTwokRGvJYOJ0vQ0SW++xyiprjzkJvJJE9gjY4oXzeOUoikVAlFWURlW/TRMVlWiXB8ed3OI7aSWBE0heqccpLMMGKE4BcTP+BmUzpkEFVBAFhfTJEI7JPyCeJW5gf9xSlZDfBmB9fZ3l5WUePnxYUFsnGAzmnK9H1XKzXc2ZvcKogGIjxM2P/MiPsLi4yG/8xm8wNzfHE088wVe/+lV9D5ycnMz5bDo7O/nv//2/88u//Mu84x3voL29nV/6pV/iX/2rf1X1WoohYUEy2HKj7RqalXMn9svCdSDFTTlobiiAp556qupiTNoHaMRdQaU9r7Q+V52dnZw+fVpfi5Ep5UZ0Bi8mLNLpNH19fcTj8R0F5kGw3CiKwuTkJIODg5w7d67AtFoJtuX/CLYowoYTyymZtGLHFt9y3SioKI8LODebUiYUlfx6qLb1wvPEHi8UK+lAAMtarrCwKGmSV6zIdy2I4cLvV3WQSUvPwpdeQ6qzITULOClsN+JKplg+E6BuaB2/mhuAbJcLX+9diLF6wovfu9VfQvGhW6iyXVNKyoXoiKNa1rEIMki3wHo5s9YD4JaqBK22TjAY5OTJkzmdrO/evasHpNe6vP9+tF6Aw5d6rgUUG8FHPvKRkhfpr3/96wWP3bhxg9dee82QuXdCwWq4W0rZRRG//bBwHTpxo6oqIyMjjI+Pc+7cOQYGBgwZVxM0tRQTWmbXw4cPefzxxwssHkamlFd78SgmTLQGdj6fj6effnrHhnV71Vm8EhYXF0kmkzz55JPU1dXtfi3yEIJ1lnTahtwk4BIUYkkntk3BoFhErC0yztiWUBGTuccu2QTsq7niRgG8a3kljYGoy4qzSMViNWhHuZQm/aqILZErihzpwnNQVCF+vo6UYsGZmC16bKJPZb3bS1DZyHncuxYn2uzCM78VqCOoIF2wImYvOeVCK8uccU1ZcUQlhFgc1QG2iITalsC6/H8iNf955jhq7JYy2o2S38laq4y7uLgIoNeoqq+vL7u5427Yj7RsqL24McJyo7VsMNl79sPCdSDFTamLWCKRoL+/n2QyqWfhaHdJ1VpuBEEwzFJSjihJJBL09fWRTqe5ceNG0bsII9xJ2jjVHlf+dzI7O8udO3c4fvw4J0+eLOvCVK3IqkYcJZNJlpaWUFWVGzduVJ3ia1v5BIK4hhwPYPevAqAmtywbG4858c3ltgZxbuTGT6U8dqyruY/FAm684UJxowoljtvqwaEssng9RMM3wnqauGS34IwVb03iTC8R8wYKrDoawfV1FrpDRZ9PtNhzxM1GhwdnILfFhDUSQ3I6sSY2B9DaNKiQFoPYlFWSqoLN9iZpNYogZM79g+6WKpfs2jqhUIi33nqLc+fOEQ6HGRsbY2BgQG/uWF9fj8/nM0wc7IdbajcF9aqd0whxU0lNm8PKXgYUV0qtLVwHUtwUY3l5mb6+PhoaGrhy5YoeI2NkCreRbRO2GyccDtPX10d9fT1Xr14tmQ211w04dzNGtrXp0qVLRfunlMIot1KlrK+v8/bbb2OxWGhoaKha2KDKiPLbiKoCTguWzbgZ61rGChM71YjNs46Ydawp0YIrL71bthVuOgm3o6i4cSRKdKyXMudHI2HmrjbS8mbGUrDe7CVUrDkVoFhFpE4beeE/OoIAapcIg4XPeaLxTDsFLaTmOARiMZJuN47Y1rrXfV5Cm+LGtiqjOjLFDNOpBDYrWKIKlvplhPS/AfsnDp1bqlw0saGVEYCM0F5eXiYcDvPwYSb33qjaOvthuTmMdXVisZhhbimTg8mBFzfZbqjz58/T3t6eszEdlBTucsZRVZXx8XFGRkY4e/YsnZ2d226yRrqljBA36XSat956i2QyWdLatJfr2I3lR7MwnThxgmQyachFTUi/iCAtIQsCdnkJyPih7SsSiUYbrqZF1iUPeqdJIG53YSc3hgXJT35XTaXIhUIRwb1eaIVRBLDHtmpNNLkXWen0Uze1TipgK2jYqRFuqKNJXCbuceCKFmbjxQJOQuIaskXAIud+3s5YirUuD4HxKJEWFwF7Jg88GnTkiBurtLVeUVJJ1bmxx2K4NhLI9VasUQm5TkAU/hsKnziQ2VJGzZV/8Xc4HLS1tdHW1qbX1lleXmZubo6hoSFcLpcudOrq6iq6kB/GasGVIsty1eUxjAooPugcJMtNrTmQ4kbbeJLJJP39/cTjcd0NlU+lwbvbYZS4KXYR1+qprK2t8dRTT5XVBdYot5QRIimdTjM/P09DQwOXL1/e1eZSyzo3WgbX5OSkbmG6f/++IRYCSflrrFKciK8JbyTTGyWlWLHZJcTjAoKQaVqZ854iPzWpSEd7S7rwXN7wBQgkCq0w0boQPjms/y0KYD0pkV6wINhKH2ciYMeCzOrxelx3Cnu7RFtcNEorLJ0I0jC8WvC8HMhslunjW8dkV3IP2LceJeFw4UxmjlHdjEUSVIhZbfhSElLKgs2+SNz6P4C2Iyludgrwza6tc/z48ZzaOkNDQySTSQKBgF5IcKfaOvvllqolRrmlHgVx8yhzIMUNZNxQ/f39hEKhbS+mh8Fys7Gxwa1bt3C5XPT09JSdynZQ3FLT09PMzs7i8/l44okndn1hqFW2lCRJ9PX1EY1Gefrpp/VNzIg2FIoyhJiaQLaIqOKWq0hOiijnbbhtmwXsorkiRUjlrlsBfKt5lhzAvVEY6LLh9xYVN+GgC1/eED41xtyTDXhWS5htALsjDTLU28KkHDbsydxAZNGX+Yys7uLnnm81SsLvJODaCjj2xuMk3F6cscyCBCDuC+FMTmfGWhUyvagAS1wFC1g2wOpcJ+L5HKr6qZLrNZr9ttxsx3a1dcbHx3Nq69TX1xfsJY+CW8oocfMouKX2pv1C7VzI1XAgxc3Y2JieqtvR0bHtRmR0zI3RAbwzMzMMDAzQ3d3NqVOnKm4Mup9uKUVRGBwcZGZmhpaWlqoDB2uRLRWNRrl16xYOh4MbN27kZKUYkW2VsP176qKrxEJ+rCtbPaEUj4DPlXHxKCo48uJr7JHcmJl1r5dgNFeZJB3WgrgcgLS1+MVDsRfftELOVSJBT071YQ0VqFNWM2tSJWZPNNF6b8t6o4gifktGtARiG0TrHHhWctdkS8uEn/DTnGeeSgZ9urgBsMhbAsuSTpMI1uGMreBaTyDV27DF00iKiCX9AMRVBCFY9HiM5iBZbnYiv7bO2tqaHqtTrLZOrdsv7Idbqto5tWy2Wqfpm9SWAylugsEg169fL6tAkNGWGyNcXNqa7t69y+zsbMWBtxr7ablJJpP09vbqfbrm5ubY2NjY+Y07rGMvA4qXlpbo6+ujra2Ns2fPFmzy1YobRZWR1FexSHHkgIJnKnOuSDYRpyulO6MTOHCrW4JAFsC9nisEEg4n5MXgxPxuHFkxNBp2qXiRPodSvHr1RsCLo1kmvWDFJueez6uhAHXqlhUo4FpHtohY5MznutLsp55VIGNlibX5CsQNgLXVA0u5EcnWvNRx3/oKCbsDZyrz/igOnGRcUwmLHa+SRko4cdlWqD/2Ryhrv1X0eIzmIFtutkMURerq6qirq9Nr62hWHS1r1G6343A4iEajuN3uPT/Ow+qWelQCivemiJ9pudk1oVCobJFhdMyNEZYSSZJIpVKsrq5y48aNXfcw2S/LzerqKrdu3aKurk7P5jKqP9VeBBSrqsrExATDw8NcuHCB9vb2kvNXI26Slj/EGYsTCzkR0iBuBtuutrXRsLTVcVKSrGQHE8fsbnzKlhVDFgUSfgfzZzuIuCwIIvglmYSaxpZM413JNbkEIoWCB6AuVjwbSnI6qbfMMXTuBGcGRnOe26jzUJeVReVWEsx3N9D8IBMYnWrIdXPYSaIImfo4GrNNTTRYZklaHTikreP0xCPE3S5cmynoAhDz1+Ncmsk8v76CamEzJkkGCwgbInZ3BI+3j43ih2M4h8lysx12u52WlhZaWlp0a8Tg4CDJZJJvf/vb2O32nMDkvaits18BxUYU8XsUYm5krMgGX+bNgOIacdBSwbWUdYDr169X9cPXBEW1m3ElwkQzd586dYru7m59XqMyrowOKFYUhYGBAZaWlnYM1K5W3CTsf0H90hpSKwhLXiDOXLCBlCPXsiIlgsCWyyolZC4q634vkZMeQqEV3CRoii6TXbZx0RPC2xRnNRVkddFH69AcktWKN1YYP7Pm9xJIFcbsAEg2JyjQHZhkxR+gbn1LNQhFsowdgS2BYnHlbgmB1AaTx9o4NjGz9Tm0OrCpMg9Dx+hYGMv9jAINuGJT+t9WJfv3pDLdfQqXPY4luUoy5cSRjJCWnbikMHHf3wEfKHpMRlLLKr61chNptXU8Hg/BYJDu7m5WV1cLautogclG1dY5jDE3iqIQi8UeCXHzKHPoxc1BCShWVZXR0VFGR0c5deoUg4ODhpR4h+rvjrQ07u1QFIV79+4xNzfHlStX9JocGkbEqxgdUJxIJLh16xaQKfjkdDpLvbXo+yshpfaiCjMojjSCRSEWUXGLNoRjKVjNM2/Hct04imhl7mozTfXz+IWMIJFjhYHDDjlzvgTtqwTbV4m2uJgKt3L27mhBwfONoI9Aori4cW66leyCxPRZP3Xf3hI3Hku04NYrqGww39ZBYGmRkFBYtVius8JE5v8lUaTZn6mlg73wGFQ19zzzri+SslpZ6QjgPbOCaE9js2Xev6Q2Ikyn8CYF/NYV1uv+Cyh7L26OiuWm1HyiKGKxWHJq6yQSCd2FNTWVEZ9abZ36+vodfzul2A+3VLX7YTSaufF4FGJulD1IBVdMt9TuqTToNpUqUeCsQnYrbtLpNP39/UQiEa5fv47L5WJwcLDquxrtB2yEuNlOVCQSCXp7e1EUhZ6enqJFxIxySxnVOHNtbY23336b+vp6Ll68WNbnU838cceLOKIqctCKSIpAZIO51hb89nnE+Ja5X0YgEFnV/15tbsTRDv70VkfcJDY86Wj28CiAM5Ubs+KxxHGeSjMXasJ3K4Y3KwA57bQVrSActzmpk1fR1NBx+xQP29romJkhabcTlNYo1hom2mwhZmnmOJMFz3XEZ4g5HbgTSeZaW+gQM1ac1tQ8MbsHd2rrWELxOdbcPgKxzLGIqsL8xSaaOuYAcCtbPaisQgypS2R5zU53LI2DUWTWsbBzrF01HNaYm3Iotec4nc49qa1zGC03mrgxLTdHm9qelXvAfltu1tfXeeWVVwDo6enB7/cb1qcqu5lnteOUGmNlZYVXX30Vt9utC7NSY+x3zI0mTmZmZnjjjTfo7u7m8ccfL3uj2624UVQZyfYaWC2IthSxhAvZ4sTTvICiQjCxJUrWlAAWRUIWRB6cP4b3sUWccq5oiYiFF+81mx+7UijSBUGh1b2AcB3GW7aafFqF4nFmy74QYt5129qVRkVgpSFY8JxGtzJBrLX4d29TJGa7WwGQmre2DAsKq3VtBa9fCW717Jnv7sbRufWZu4iwrmSO36EmUBQL9kCKMU83jtQ6Cfvnii/QQB4Fy812aLV1jh8/ztWrV3nXu97FyZMn9erj3/jGN7h16xYTExNsbGxs+5updcyNqqpVW4ui0Sh2u33P+nsdJLQifkb/OwwcSMtNJeynuNHiU06cOMGJEyf0TUz7rxGixIjaLMViXVRVZWpqisHBQc6cOcOxY8e23YQPQswNZLIc7t69yxNPPKHXAimX3YqbuOW/gBBFdWTcTamIk0iHDbcYJ5p0E9xMrQZIpPykLFHmLjXQVTdJRAkQVHIjZSXVDyznPLZh81OXLgwcdssZ84zHGsH2eIIh5ynOjI/gTRZ3ScmuQlN7i7jI5IluVHvpwHtRALlVhLniz7sdcSTRQrMnt+ifzRoteK13s6DfXLAR/+kJVNWGhIh1s8mUqnhAXEcUZFTVD6wQ9VvxLntJWv4GD79ecp1GUEtrykGx3GxHdm0dVVWJx+M5tXUsFotu1QmFQjm1dYzIXKoEbQ+qZs5IJILH46mp6DSpPQdS3FRy0u1HQLEsy9y7d4/5+XkuX75c0F1WEIR9r1Gz3Rhamvri4iJXr14lFArVZB3VCLV0Os3o6CiSJHHz5s1dpXHuWtw4/oQNpYluIdNsKW1xEAxmVIAc98FmjAtkKhUvXQ3S5svErmzIIYJ5PZ7ixT4DodBErgDB9NZ77YLEydMPmLCconNjpOhaBRt6o8psvC0rpCLeos8BxK0OukMTpBZs2JXC+KzW2DyDZ05wVszNvqpPz7Lh8OBLbomc+vgcK24/6mMSFlEFUswIx2hTMy4vr7Il4mTSWAAPUWaCIYLpRRLCWzjVq8UXagCPuuVmOwRBKFlbZ2pqirt37+L1evXAZFmWa2oBMULcPCoF/AAkxD1IBa/+ulYLjoRbqpbtF2KxGK+//jobGxv09PQUCBsNI2vUGOmWisfjvPHGG0QiEXp6esoSNmBcQPFuxohEIrz66qsIgoDL5dr1xrSbY0ixjGAZI7nZlVtBwOXfch9Z41v3B0nRjno6SZNvcWvtcuH9gyNdWF0vSeE5vOYIYFNzH7cIKtaLcabbCt1BAPYsoZVNSFgj0Vz6u54LNOO3xBhvPFbyNem2wmMRUVkJ5NZwElCZPtVMyLNVByeZtdW41RUiSuY7DLCArFhwkEIVRFasrUScv1dyDUbwKMbc7Batts7Jkyd56qmneOc738mxY8dIJpMMDAwwPz/PwsICU1NTxGKxPW+Aqu1j1bqlTMvN0edAWm4qoZZuqcXFRfr7+2ltbeXcuXPb/sCMstwYMY5mdQmHw/T29tLU1MSFCxcq2iD2y3KzuLhIX18fnZ2dhEIh7t+/X9X8lW6+a/bfZ1VtIaBm3DHTtNEhTuvPW5OZeBpJsDDZ0UWrllakPV9EeAeThQVdvFKhSypm91OXKnztmsvLmbMjLKbaaVzaWkvCYqdRXigaMLxiryfY9pDkvB1HkdielD/javAGN2C+4GkUBHytaygPC++I3NbcyOaozYWlUyZbr7Wq8zmuqYTixitGsSITV+vxsoBViJO2yMTUQSTSWNkbi8BRttzstZjKr61z69YtrFYrS0tLjIyM4HA49rS2jhZvU81n+ihZbvamzs3hyJY6kJabg+aW0pow9vb2cv78+bKEwV424dzNGPF4nLfeeotTp05x8eLFijfAWsfcaKn1vb29XLhwQa84XKvGmwAqKnHbt1jGTb26QgobCQJop6eiCAQTK6jAg/ZuFE8KJ7nCIZDODSZeEepx5VUWTmOhMZkbgwOQEotnc6hWsIoyzgtrLHiygnf9zViE4sf30NtM0LbCg/ZTRZ/3ujO1dNrsC0z7Wguen/c30mKfZy5QaDGql+ZYdW7F+jzsaqHJNkeEreKVTuLMClvj+rIElp2MG8xDFEFQ2cBP2PZnRddpBKblxhgEQUAURerr67l8+TLf8R3fof9OR0dH+da3vsVbb73F2NgYa2trhlh1jIjxiUQij0ymlBlQfIjZa8tNKpWir69v287ke7muat1SsiwzOTlJKpXi2rVr1NXV7XodRoibnertQGbNd+7cYWVlhWvXrhEIBIDadRXXLnyz1pdJEcMpWLAJSUaF47jVrc8gngwQVBcYaurGFdxgLR3IGSetWqhPh3MemxdC1OUFEy84GmlPFkbyShT/rLzCZp0OW4T1S14Sr9txyik23KU37JQzcwd9rPkhiZnM6/XnRBvNji1zTazBBXmdNjZCXkIskAh4yAshQkBlpS5EcHaDqM1FXfsioqAyY2vhVHqryF9KcKDd9PnUJdZUHy4hgZ9ZIqobh5AC1Y4ipAnbvk5T+idKHk81HGXLzX40ztTERjm1dbIDk3dTW8eo1gu7rRpvcng4sOKm3AvRXsbcrK2tcevWLQKBAD09PSU7kxfDCDGgrWm348RiMb1+jdPp3LWwAWM6apfznSYSCd5++21EUeTGjRs4HA7D1lCJOFJVlQXbl5BooE6dJ46TCB4CWT6beNLGpL8NZ1PG6qG1Y9BYUhrozPPxJFQH+WxYfVBE3NRLhb28FKBZ3hJH7a457j5+lgu9g2BTSwYMe52Z7CqvdZ077ed5bPKe/tx0oJXj4lZ9m2PuSaJWFx5pKzZIqMv8xgLWGVKCDXtesT7X5vV0vv0YdZbMWKJVJVufNSqLKGTMxQIqK6kmXI5JbKSJKEGCljB2ZBDWWRYChIU+Quql4gdUBbW23NQ6m6iW4ma7tOz82jrr6+uEw2FmZ2cZHBzUa+vU19cTDAbL+pyMSD1/VFovAHtiaZEPSUDxgRU35WK1Wg1pUQBb4iY7TTq/DUGlY1XLbkXS8vIyvb29tLa20tzczO3bt6teR7Vm5Z3EycrKCrdu3SoZE1Qrt5SqqqyLsyjiKKogEVSiPBQ6AIEAW0GykuKCjoj+I3IpubEnMdlLfgCLtcg5IQmFm09MdBCQFgseX7U3EGIp57EL9YMMHDuHXyje2FRGpMO21T6ho3Ga1MOtrKioLzf+wCFKDDY+zjtmM9Wfw/YgHe7NTCeijIce48zynZz3tKQnmPa0YOvcEl6NLBLDiXuz2qCfDWaEFtrUjJAThS3lY5FUsIBD3SAluBGRGXX+JaH44RY3j4Llppz5BEEgEAgQCAQ4fvw46XSalZUVwuGw3g8rGAzqYqdUwK8RFZEfJbfUo8yhFzfZBfMqsayUGkuSJG7fvs3S0lLZadLF2K9sKVVVGR8fZ2RkhPPnz9PR0cHa2pphQcnVXBi2EydazaDtau7Uyi0FMOD8Sxy4EFjHSoQ4dQg4sG5GySaxsxTy0CFuBQLXyas5YyhS4SYcLBIgXCzAd8bRyillvODxBWdzgbgB6DoxydqMv2hXu1lXMx3iVluFoG2dgbZzXHyYCc52eAu7fgcCi7D5lolQBxeEVf25pE/JL9MDwGjnMR6zbYloi6CwZO3mmLQVBB4T3LprqkN9yLrqwS0kqLcskFBtuMQIYakOh3WFJWWU+dVJGv0dhl6wa225qbW4qfV8u7Gk2Gw2mpqaaGpq0mvrLC8v672wrFZr0do6ZkfwypD3oCu4abmpkkrcUpDpxF2tuEkmM5t8LBajp6dn1/1WtHXV2i0lSRJ37txhdXU1J1bFqHgZqG6zLma5URSFwcFBZmZmiva0yn9/LcRNmiQJy5vYhCguFWY5gSCmSShb731TuMoZcVj/O6G4aFNzC9y5pFxLTlq10JzKfQ1AKL1S8NiaLZDdWHzrcbuTYskKaw4/a+fctPaKiHmbz7K7ng5ye0Y1N80jTVsQVYV2R2F6VJftIYP+U5xdH4G63Am7xWE2rF58Um4hwWSw0OW2bHVwLMtrXKduHasFmTm1hRPCOA4hwZzaQEhYQxBtuIlgERK8qf4nvN98Wr/IVdMHSaPWlpuDaEkxCiMsKdm1dTo7O/XaOsvLy0xOTnL37l18Pp9eV8eIjuDNzc07v9DkUHNgxU25aGmB1VpJ5ufnddfN5cuXc2I9dkOt3VKxWIy3334bm81WEKtipLipZvPMt9xowdrJZJIbN27sGORXK3Fzz/E3WJAQBQVZ8aCIKwgIeDY7fT/gArJowZaV67yiBCEvDTxftMxbGulQc2NrEoKL+iLiRinxGTvEVFHrzIotSLt/gr/vuMa7Hr6W85zsKrxza7CvMNJ8HtdGlHZLYT8pgEi9F3ld5Jg/93k7acZCFzi30Kc/Nursots9xgINNGVZlrqF8RzXVL26wiL1NG6afmyypOdsWhUbiOATFojjxmqJY+uY4bL1MuHlsN4Hye1258RqVHo+HtVsKVVVj0R2llZbR4sRTKVSemDy4uIiiqLQ39+vC16Xy1XR9/loxdw8uqngh17cQHXp4IqiMDw8zOTkJI899hh9fX2GpCzW0i2l1d9pa2vTUzHzx6jWpaS9z6jGlxsbG7z99tv4fD6efvrpsqxuRncVL8Ws/e+pEzJBwkuClabNY29Ul4jgZ1H0ouSZeiU5t57HuuIlJOdaNtYI0JHX32Da3sbJ5IOCNXjUwkJ/AA1qEX8QIFgyZvaTXfeZWmqnM7FV/8ZnLx6LI7bEmBSbaS/SLBPgvOce9+rOcNpWWFvI6onlHkeomVZmmKQrR9w4hBQjtlO8I70Vo7Mu1tG42UCzU3lISrViFyTqWEZSVXxChFW1hSDrJIQF5oIDnPHdoLu7W4/VWF5e5t69e6TTaerq6vQsnVK90bI5qm4p7bexX9lSe0V2bZ3R0VE2NjYIBAIsLi4yPDys19apr6+nrq5ux73kURI3jzIHVtxU2hl8N0IimUzS19dHKpXixo0beL1ebt++bYgoqYVbSqsFMzo6ysWLF2krUbXWCJdStuVmt2jiYn5+nv7+frq7uzl16lTZa6qF5WZGvEuSDaxCjIjaQJ2YcSOlVQv1LHOLd2ITYih5PiNHXu2aqNxEiIy4iQlOHriPM+VqIV4XILb5q5MkG+tpH+KqnY7IA2zqVuxNU7rQfRUXHLQqxZs/RW2Z4FyXJcnQ6S46b2fEjYyFDtt00feccE4w1dZe8rNwC0kWu0KcLvJcuzDCoqOOxuQKKcFGMJARK44ivrS0xZaTNeXMyrSKCiHeEB4DUcCqiKA46LTcQ1RFbGISq6owZv86Z+I3gMJYjWg0yvLyMgsLCwwPD+N0OnWhUyoDp5ZxKbWeC2onblRV3Re3m9PppKuri66uLmRZ1gOTHzx4QDwex+/362LH5/MVfP6PkriREfcgW8qY0it7zYEVN5Wwm3TwlZUVent7CYVCXLlyRVf7RrmTLBaLHsNTDaUsN1rg89raGtevX8fvL+w0nT0GVGdC1jaIasVNLBajv7+fxx9/nJaWll2tYbcirRxxc8/61zg3N4MlNURIyGQZSdgY4hxYMhaLALkVhRvlXNfSrBzEau9mqK4Fr2cNmyhjRSLIDMGs193hIjSt8kBqY26llZPzE/ikDRrk3Po4ANPuNk4xVvA4QJN9K27mTN0Qrzde4fri2yy42mkVi1tmACIBV0HdmmzivuIxPiIqc6EuGmdXuOs7i9eyCkAbszluJ4BjwiQprNg33Xjt6gRLNDBr6SJsc7EuBgixChaFGbWNdfUCHiFJu7qGkzgxcYo1YYGAmtfmQRDwer14vV66urqQJCknAyeVShEMBvU+SNluz1pdkGt58dfO7VoeWy3ng8KAYovFQkNDg94GJ7vpZ35tHVEUaWlpMUzcfP7zn+czn/kMc3NzXLp0ic997nNcu3Ztx/f9+Z//OT/6oz/KP/pH/4i/+qu/qnodJsU5EuKmEreUqqpMTEwwPDxcNDPnoBTfyx4nX7hFIhFu3bqF0+mkp6cnp0tvqTGgemFSjVtIkiQmJyf1+JrtxFgpqrVA7SRuEsRYEmfwEWNNbUAVt8SpoopsCH7EzbZxTeqi3uYgrVpoz7KoTAutzAW6cDZFqGNLpNSrGwWtEdxkxJLDmqSrcZxkg0D/yjV65t+kTs5VHWv23CKBGjNqKwFxNeex+hPzRMIeZt2NtJZwO60KQU67hxiKnuSMVOgai+OgzfmQsUQ3x9XxgucDzsyxRYIuvFk9rSbozhE3HiHGsPU0F6Wt2jrfsPXQYAsjAHWsoCAgAnWsIgkCMZz0KU9zQegnIizxluMrfHfiJ4oeh0Z+d+tYLEY4HGZ5eZkHDx5gt9v17EcjrKrlUEu3lLbf1NpSVMs6PrIsb7vfuVwu2tvbaW9vR1EUNjY2dKHzj//xP6ahoQGfz8fg4CDxeLwsN2YxvvjFL/Lss8/y4osvcv36dV544QWeeeYZBgcHaWpqKvm+8fFxfuVXfoV3vetdu5q3Uvamzs3hqFB8INsvwN64pSRJoq+vj7GxMZ588km6uroK5jFKlOyVW2phYYHXXnuNpqYmrl69uqOwAWPEjTbObsaIx+O8/vrrSJKE2+3elbCB6q1HO4mbXst/I6L68AsLLKvN+LPK9K4IAUQxIzLjuLBl1WhZk+uwIiEj8jX7d/DA243LnmvZSao2fEXyp1vU3Fo2FkElHbIwerqNfveTOc85xOJ9eiaFjoLH6h1h3j72OClX6Z/4jOUEIioT3uKuqWH7KWyCzKS1s+jzzcIkD7zHqffkutDsFKa2x61bF5E3LO8mbttKxXWQYo2McHMJ66yTuatWsXObc9hUG+uWoYrM4YIg4PF46Ozs5IknnuBd73oXZ86c0c+h1157jVu3bjE5OUkkEtmzho+1Diiutu9SJRjRxLJSKonxEUVRr6tz/fp1+vv7+d//9/+d9fV1fv/3f5+6ujq+7/u+j3/7b/8to6OjOw+YxfPPP8+HPvQhPvjBD3LhwgVefPFF3G43L730Usn3yLLMj/3Yj/Fbv/VbnDhxoqL5dsuj3H7hwIqbSihH3GidpVOpFD09PSWr9RrVq8poC5CqqoyMjNDX18fFixeLBg6XQhAEQzLKdhPzEg6HeeWVV6irq8u5uOx2fth9UPNO658S+7EIKdbVICkhTf1m8O4MLQQ3M6UABDXP4Cn7WBGC/Hf39+BwJhBRCOYV74tRj5jX92ld9eETCn1CKgIeawz7iUX+W+h79ToVVooHGUesxWt2nG0bwG8v7a5dsmQERYdzgnmxsfB5R+Y3ErKsklaLC6u7oXPYLLnnVZs6y7Kam9LfLkwjITIonmHDJtDMPFGy7prlrQ0zTUawO4Q1UoKDeVqwCnPctn6z5LHshOa+OHnyJABPPvkkjY2NrKys8Oabb/LKK69w7949FhYWDKt4DrWPuam10ND2llpRTSp4Q0MDH/jAB4hEIvz1X/81fX19/MAP/ABf+9rX+Na3vlX2OKlUirfeeov3vOc9+mOiKPKe97yHV199teT7fvu3f5umpiZ+6qd+alfrN6mMI+GW2inmZnZ2ljt37tDV1cXp06e3/THuV/G97caRJIm3336bSCRSUX+r/HFqbbmZnJxkcHCQs2fPcuzYMZaXl6t2jcHeiJsBoY8FQaCOFdbUVhDT2EmTxsoCjTQIg/prPaqa415axM+C5xJBMSNUIoQICbkxODHFT/4Nz4bSRN1mrEo2fjWmj3+qbYi/dX4H75p5nQZmCl4LYLEX70FlEVXuu9q5oNwq+nzSmvnN2ASZ254LNG/8r5znHZtizCXGeCN9jZv2vy8YQ7IXnouCoNKffpzvsn1dfywgrDNoOcuUrQOHmAZUHtLOic0YIqe4JR7r1DUQwCrEkdQAG6KMS7XzwPYWT0jvLnos5aJ9/263G5/PR0dHB7Is63VVRkdHGRgYIBAI6EGpXq931xfwWlpu9rOvVK0woohfNBrF5/Nx9uxZzp49yy/+4i9W9P6lpSVkWS6oldPc3Mz9+4WZhQDf+ta3+I//8T/S29u722Xvir0p4nc4LDcHVtwY0RlcKxA3PT3NpUuXtvWFahgZUGyEW0pLfa2rq6OnpwebrfgddC3WU664URSFe/fuMT8/n1Pl2YhsJ2383b6/1Px3LH+PRBqLkCYmSHqn6lFOYFPFHDFjzarW+1A9zYIjQFdWXMsSPo7ljb+ackKee39BDnCsyD6R31jzeGiUv7Pc4Dti3y669npHYWYVwHiym+P1D3hr5jJXbbkCR0akyb4VJ1TvniO+4cS1WY8movrwuLZcZtEi1qFVNUDQPsU96SznrYM5zzmFRMHrh22nCWRVdBayIpUDwjqzajv1whIBYZVZmvESw6HakIU0E+px6sSHLAjTNKmlM7x2Qvv+8+PstKDT06dP60Gpy8vLTExM6M9rgcmV/AaPamYWGFPAbzdzViNuZFkmkUjUNFtqY2OD97///fzhH/6hHvhssvccWHFTCcUESSKRoLe3F1mW6enpKbsLrJHiptpx5ubmGBsbw263c/Xq1ao2rlpZblKpFLdu3UKSJG7cuJETsGdEnRow3nITZoUZYQU7EinVD4JMQI2xQYAkDnz/f/b+PDqu7TrvRX+7qb5vgEIPECTY932rvrEcS5YiJRqOn6wouXrOS5SMRMMeub7JlePEI3Iy8vxkX+tGeY4VO/dalhLn2U4c6xzpHInnsO/QsQVJgCDaAlAFFKpv9t7r/VEoVBWqwEMSIA95eOYYGAO1m7XX7tb69je/OaeQlsGNENC4lKvmLj3MECKwAoyszIEDYJXSNcuMOmFIUa0RpxqrWZ622blgOsqJ+Qu4lbIWKCkctJjrh3pPay20Mc6MM1CT7XhE6sKhlt1cLjnFZf0oH1ROA/CAbZjkiogn+wMiqUaCShlI9Rn7sMtpJvU2tlENbjYqw4SNRpqWQukn9Q4SuKuizJqYqYqiWpScBJZy5GSxFsGNtEgaE4aUIS08XLSc5jPZX6x7vo9j9cDNSlspSi2xOg8fPlzOllsKN68XarzyeO9l5uZ5g5u1skXJZDE9w9Ow3yULBoMoisLMTLXreWZmpm4E6PDwMKOjo3z6059eXlYaB1VVZWhoaNldut72bJL4vRzlF94zmptKt1Q0GuX8+fPY7XaOHj36ROXtX4RoKSEEd+/e5fr163R0dGCxWNb8RbYe4OadCl/G43HOnz+PxWLhyJEjNZEI68HcrLWNevu+rlwAKY0uCTSpeM+8xLkubUOSwJDKLpO44cMq5Rg1tjMrGslJZpwVehwAWx1tTJNa61KqV+hyIl0/V1FGuPHZZ/mJ9RRZUS4/MCJ1ocj1r0dGFK9/s3uStwsnq9aNy3XYD3eZbZmRq2uqqbJBr763allMKQrDW5UZdFH9fCqSwW19+/LvW8Z+/EqU0UKZ0zJTYIry+VaCRJcoTkI2KY4uHLikOFHJyaTyEJ2n18Q8DriptFK23E2bNnH48GGOHz9OS0sLyWSS/v5+zp49y82bNwmHw+TztULq97rm5t1wS63lHFOp4ru6Fuam9LH55ptvLi8zDIM333yTY8eO1Wy/detWrl+/Tn9///LfZz7zGT784Q/T399Pe3t9wf77tjZ7TzE3QggePHjA8PAwW7dupa2t7V2r5v20bqBCocDAwADpdJpjx46RTqeJRutnpX0SWy/mZjVgEQ6HuX79Ot3d3XR3d9e97usFsJ4W3NTrvyYKjEkj2KQ8CAUkyAszE4RwkcIQEo1SuS7TonBwS9/GnBzAJOkI3VmjpVnJ5CzqbprV2uR7LUot4Enq9cXBFk0CCzQFp3h95mN8Wv+fyJIgKvtpp36kh1kp0zU5r4yWVFGlJWCg1kbZtbonuBYrurB0a61byWZNUfpoywgr/qVQcI88z01tJ7vV6srzFql4/Hv6JpQlNioqAnRVuPAqvyobiDBNEwEWCEpRZmjAThYdE2YEFiERx8VF0yVOFE7UPed3srWGZlssFlpaWmhpacEwDOLxONFolPHx8bqsznuZuXkZ3VKpVAqr1bpmUPb1r3+dL3/5yxw8eJDDhw/zrW99i1QqxVe+8hUAfumXfonW1la++c1vYrVa2blzZ9X+Xq8XoGb5eturHAr+woKbJ9XcFAoF+vr6iMfjVUUjn9TeTbdUqSSB0+nk2LFjmEwmstnsc61R9aRtlKK4RkdH31HXtFbWZT3aqNxXCMHr0gCGvEBWWPAvuUxUYWFBlrCRI48dS0Voc0o4CCshrFJxWTRvp6eCoMoKM41Ua2BmCyGalWpwM6sHaVZqC1bKUv17JItyKYdQaIKfzPwMHzN+iGaqP7kYQqKxoiBm0D7HhcQpTkk/BUAxUnX3m7UGSBSchFy1wKvZGuZefDs96i36jb1YlfJ1mRO10VYblWHmjAA3jJ14l4TTPrlaaN1kRNAlGWXpvBfxEKC4jWF4QM7iZY40JsxSnAxurpuG3jVwU2myLOP1evF6vWzcuJF8Pr9c2XpwcBAhBLquE4lEMJvNa65X9072Kril1gpukskkDodjzc/AF7/4Rebm5vjGN75BOBxm7969vPbaa8si47Gxsed+bd63anthwc2TWKFQYH5+Hr/f/1hJ7R5liqLUpZef1J7ULVWK6NqwYQMbN25cfvnWS5j8LMCNpmkMDg4+dhTXuxGxtXJfKAMcXde5ahnGS4KEaEGRi3qPBdwEKOpYslJ5II0ZHmKSB3+FoNgmVbugogRokqrBTcqoZWNSWiPUATdeU20RzYKh0GyrBhvO0DSnw6cImOunFx7Ld2KzVLMvwpMjHzeTN0yE/PUjr7oC97g4cYQWZbTu+nuikx5uMSM30lxRJ6tNmaYgFExS+ZlXJZ3zhaO4TbHlZU3qDJNaM61qkQ2zymkm8xvoMBeTCLorNDnaEqi0SXHCdOIiQRwPEUkwIk/RbdR34T3KnmVSPbPZTHNzM83NzQghiMfj9Pb2Mjc3x4MHD3A6ncuiZI/Hs+6T33vdLVUq97BW5uZJZAqPsq997Wt87Wtfq7vu9OnTj9z3D//wD9elD+9kz6b8wssB2l56cDM5OcnIyAgmk2nNoltY3+R7pSq9j+qTYRjcvXuXiYmJuszHeoaUryewKFUht1gsHD169LEAZYl1WWsBz7WyP6UiojeYJCdHMLCTX3phc8IOchmwlKKHNKHSZ+ylY0Upg6BSnYQvL+w1WYiVOgK8+ZQDVnzIa0KmxVorDp7MtuG1x2uWyw15Cqn6A82C1oLPUg1gXNYFrs6ewiqiuJVI3f1Mis6oo4UWRuuub3JMk89ZcFiqmR+XvMigtpsDanVU1iyNdEvVJSPCRohWyq6+ed29HF3WRJgoATwkaJXGiYhGbFIaRahIksBuwLxU4EfmQf5e9sUCN5UmSRIejwchBLt27UJV1WVW58aNGxiGsRyhFQgEsFqt79zoO9h73S21HhmRS6UXnmdU2btp2jMIBV/v9p6VvbDg5p0evlK4cTgcpru7m3A4vC4P7Hq6paA4AKxWpTafzzMwMLBcksDhqP3Cf5GYmxKwiEaj9Pf3r1qF/FF9gLVNMGsBN6VjapqGJEn82HYTl5RghBa6pCILMSW66ZLKFayDS9E75/RjSLLAKZejnvKGSrs6UXUMJa3ACq2iS64FJlIdwDOVbSVkq2VzZnNNdcFNIudjTHLQpo1iV6sZpJxWX7tT8KVZnA/hpj64AciYrBQMEya5Nn+OW01wYf5ncDuma/dLBqgsnJUxnDjUFHHDhVsui6edUjUwajFNogsJRRLIiGVwI0uCsBFkgzRGAxHSqJilFFZJZ1SJM08aP0/2Ff48Bb6VtZ5MJtNyZWshBMlkkmg0Sjgc5u7du9jt9mWg4/V6nwo0PE99D7w7YArWlhE5lUrVHWfft/eevdD80mqDUCmd/+LiIsePH8fv968LIIH1jZYCVm1rcXGR8+fPo6oqR48eXfWFWw9Qsl7tSJJEJBKht7eXLVu2sG3bticaaNYayl1q42n2LwEqWZa5cuUKAw/v8EBKIKMhMHBLM8SEn7gkLRMvBRRCzHBX34dDzZA1qr+u5wuBZa1IycwkWWltpomaZfXcT3P5+nqlUtTTSpuMhfC5Yvx44RM167JG/YgitytGwr66LipnmAm5prme3LPqNndy9fcPOcbI6WUGrz92GItcIJKpTjXfqk4S0cvRWAF1nrF85/Jvv14WQjuXam/ZpEXiOLFL8wihgpTl+5abq/ZxNXuetZ5K79vK40mShMvloquriwMHDnDy5Ek2bNiApmncunWLt99+m4GBASYmJshk6melrmfvBpPyvOtKwdrATTKZfGUqgkM5FHy9/14Gezl6WWFzc3MMDg7S1NS0PLnm8/l1S5m+3uCmHqCYnJzk1q1bj4wsqmyn5Gtey0u9VnBTKkKXz+c5ePDgquUr3qkPpbaedlB8mvMoCTslSeLkyZPMz8/zJ+4+THqCcbkBq2GgKjoR0Ya5olhmGjuzooV52YSKgbwiL03eqBWItq1wBUU1fw27Ywhos9cCnoxRH8R41foZiNN6cfuGhjkuzh/lqP/i8rqQfa7uPgBxk4m8bsas1GrLJrM9mOw687nVGZGCzUQi78NlrgZoDlOS/vl9HPFfAmDBbMGJRiIvQwV2lyXBuN5OUCkXFY0ZflhyhfnlcTLCTRYVgcyY0UKbNI2CqZi5WJiwSjGG1FkKOR3TE9DkzxPcPG6VbpPJRGNjI42NjQghSKVSRKNRZmdnuXfvHjabrYrVWe3ded7MzbsFptZy/9Lp9Lppbt63F9teGnAjhGB4eJgHDx6wfft2WlvLeTrWC5CsZ1uSJNW0VcqYPDU1xd69e2loqI0wqdef0r7vFrjJ5XLLifna29ufCtjAu8PclIBN6fpZLBYam0NMWCRskkQSgSpnmRQt5GWtKsmcjsK46ERdAjzOXLzqjbFnc1VZhxN5N+3mak1OUmuEFeAmnGmmvQ64qSzGWWk2eb7uckUtP1sJu5P5vA+/eYG5VAs2Ry2DBDCf8eHxzjEwf4RD/tpaTRPzIbz2OUINYR7GOun0Pqxan8i78PrnuRPdyaGG2v0Topj75sbiTpyeovup1TNOIu/EZS73yWdUA6sGtSzCvpvZykBhN42eYuX1MaOdEeIENQOLmsAqRdElO5DiB6YR/h+FnrrnWs9eBObmUSZJEk6nE6fTSWdnJ5qmsbCwQDQa5c6dOxQKBbxe77Iw2W63V2Xufq+7pdZ6vJLm5lUx4xmEgtdLUvoi2ksBbvL5PIODg6TTaY4cOVJTVVpV1WWR6HoIitcLKFWKgXO5HP39/cuZex/362E9K3o/zXktLi7S19eHz+fD4XCsGWDB2s7lScBNCdisrJb8P5S7ROQCXkCRwEOMRdGIgU6DiCwLghcLAYKm8qTrV6tBhk2pTsIXS/pp949hCImR+Eamc61oopF7mVaQQBIgGwYeXULLm9jgrRbaNllq8xmlCjYC9vrlFTyO2PL/Dmuay/Mf4Gf8f8HIfDshR612B2A80YHDlkKzSWiGiipXM56qtXx/RxLdNeDmTmwraqNBXq3/LG3wjJDWrDwobMBDMZJLlXVG4pvYE+xf3i5gHiOec+O2FMFksynMRL6Vu/pWZLuBkSoPoGZyKJLBggkmCyfoNg2iG3YsUoprpqknBjfPs0o3rM2NoqoqDQ0NNDQ0IIRYznsVjUYZHh7GbDYv59UpacmelxmGsabI1Ce19aor9SqBm1fZXmhwI0kSsViMvr4+3G73cu6XlfY44t3HtfVmgQzDWD4Hn8/HgQMHnqiP76TdeZJ2nhRUTE1NcfPmTTZt2kRXVxe3b99+V2tDldp4nD4YhrH8VwlsAM4os1jQkSggBCRxoEs6imbGvOQCurW4A7cah6XHLZ1WaV8h6m22V4tqZ7JBpmZ+BsmtY/NkAYOpcTNbQtXh2rcntmI0xrkZ344aNzjkv4zTkiBoqQ3PHo930hSoBSrJnAOfqxpsuf1zXBg/RkpzEqI+uIlrHhyksNoSDEwe4kBruYqxYUiYnOW++hqiZApWbKZySPmC4cdPhBbfFOFUJ02OavBjUzNcmTuC3VfNHIkVE7wiG9yN97C3ob94bCFxOX8YvzMGQKNthpxuwqIUaJQixIQHk6SxoNm4q24lKLJ4pSgT8gJvKrN8VH/nunHw4jM3jzJJknA4HDgcDjo6OtB1nYWFBebn57l37x6ZTAaLxYLVasXv969LPpdH2fN2S60XuHmVBMWvchK/F1pQPD4+zuXLl+no6GDfvn2rFqwrPfDrobtZb+YmHA5z5coVurq62LNnzxODr5II9nnmhxFCMDQ0xK1bt9i7dy8bNmxY136sBSC9Ux9KbE09xgbgvBwhrKTQkZAlAImCKH7JZTLFezOf9RM323HZyxN9OlGdwyeW9eBUi26X6UwTPwp/jIdqJ/ZQCputDAac1lr3kCwXny+HO42lLUuvaR+vP/h5coVazU0iH6h7nlPx1qX+r9je48RQVp/QHObytc85LBhGeduHC11YKjIT26xZBmb3Vu1vdpUFrveT9evhzBqNmFYwO62ecVIrzk9RytucmfkgFrU8aJpkjUi2CFhkyUBbyhXUYI5iSBJTspuo4cUmcvyVeXzV811pz1tz8ywnf0VRCAaDbN68mWPHjtHQ0IDD4WBhYYGrV69y/vx5bt++zezs7LppEivtZcyr86qBm1fZXmhwk81m2b9//2OJbtcrH8x6gRvDMCgUCkxMTLB///5lgPA0th6g4nFDyguFAr29vczMzHD06NEqXdDzqE/1OPuvBo4q9TVADbAB+DN1EgMddSkcOZEOIpZcMyEliSEkhgqbKcQlZKl8HENUA+tUzEreMPOT2Ee4Y96MtSmHy1LtpjIMaPDWCntdturtVJPOlBzgTP4Eg3PVtWmMXH1AH8/Vz8DtdKcYya1ehE+xlgGbzbtI39SB5d8Tibaa7fPm8vGnku04HeUwbrtzoaamFEDO7CJTqI4sMykaw4ubq5Z1eEZJ5e0MRvcgN+k4rFHS2TKIrBRwG+ni/2YlRSLnRJUKTIlNKMIgIUcYkquv6Wr2vJmb5+kmKmVM3rNnD6dOnWLbtm2oqsrIyAhnzpyht7eX0dFREonEmnNFwbsTLfW+5ubJrJTEb33/XmjYsGwvdC83b95MIFD/y3WlrXdNqLW8/NlslsuXL2MYxhOdw6P69DzcUqlUiosXLyKE4NixYzWDwIvA3KwGbkoRZaUJpd4g+IAME/I8BeHDQZqMZsOmlqOjHPIsg4t7sbqyyEo1w2aTq0Ny5zMN/HThJKq3gKIIdEMi4KjOHROL+zCbqoWzui4TcNfmmNF0E1ZXjvkGKz8Mf4ZMoajJkuTaGk8AyiqDfDztxt29wPBcLcAJL4RwOKurk2et3uX/01ItcxRqmGE8tgGAhVRX1TqfY4EHszuqli0kfJg9CSbmNtW0pcvV19SkaNyY30nEWQ4Ln4uV35VG6wwFozh5BuwzaPrS/kbx3O3o3BdNqFKKPzLXz7i80t5LzM1Kq2RSFEXB7/fT09PD0aNHOXr0KKFQaDlr8rlz57h16xYzMzMUCvWF7O9kL6tbai0VwV82KyXxW++/l8FeaHDzJPYsku89jS0sLHDhwgXsdjsej2ddvmyeh1tqbm6OCxcu0NjYyIEDB+q6ANfKupT6sd7gptIVVY+tKdnvmeZASmNeyjo8lunAYS6KePW8iZwwoS2New6lGgQE7WVA0juxnxlLE7ZAeVJIpNzLep2SJVO1g2gk4sOk1LoITOYyCLI1JXgr/mEm51tp9NfXzpjqVB4HSCSbUBTBiLERYwWrMrlQy8zYg1FuhosAxeZO16wHuDddBDfhdK0IfiwRqvp9e3Y7sixIarXPT7t7nJxWDaDG9Q5MlvL1sJrL52VW8kQyxfZNikYsUYzSC5kjxWdAWkRXFKa1VsaUWWK8c9mU9zJz8yg3kc1mo7W1ld27d3Pq1Cl27NiB2WxmdHSUs2fPcvXqVR48eEA8Hn/s9/PdiJZaD3Dzfij4q2HvGXCjquq6aW7gycGNEIKxsTGuXr1Kd3c3u3btWtecOc+KuSlVUu/v72f79u1s2bJl1QF5rcAE1sctVbm/YRhVod6r9X0RjRElSsYIYcplWcx5sCoS0pLrKZtUGTE2oCjF3wFbGczk8iaCjjl0XebM+AfItllxO6pFwtm52kFX12r1VYlU/TB6j7u6PWsgzcXCESLx2nQBuiHjD9TPYxONFyMJ3aFFLt2udnHJcn2twQKtzKcCeH3161T5OyIkMw6sjbVZkptap8gVyvl+ktbixNHUEia5AgypaoG7E+XIpsnYFqyhDLkKINTgnSWVKe/nqMCLpqVipWYlTSLvxqTksRXMZBWQ0fj3ltrK6yvtVWFuHmWyLOPz+di0aRNHjhzh+PHjtLS0kEwm6e/v5+zZs9y8eZNwOPzIOnvvhltqrcdLp9OvFHPzKifxe6HBzZMMQusJJCRJeqK2dF3nxo0b3L9/nwMHDtDZ2bmc52a96lQ9C+ZG13WuX7/O6Ogohw8fpqXl0bV6XgTNTQlgldxQqwmHV9r/W42CtMiCUPBaZpnWWnCJMksQJYjVUWR0cjkT3gptSjLppqCZeDt8CqVdo5BX8LqqE9gJUVsbyCTXTgxaHcCTyVrweGI1y+MZN+P+Vm6Nb69aPjPbhMVSf9IxVYiJcy0mUukyoMnJ9a+7vXGOa3cP1F0HYHNkeWvoQ1gctce02TLcnNoLQCQexN5c1OQoqs5IuDZEu7AUfqYbMqOiDZOqkVxsXl4vy4JoBaCz2eaWRc8hZ5jC0vXzLH3HqEYeq5xjWm+iX5lDr1PWotJeVebmUWaxWGhpaWHXrl2cPHmSXbt2YbVaGR8f5+zZs1y5coWRkREWFxer3t2XMSNyqSr4+/betxca3DyJvVuJ/DKZDJcvXyaZTC6XgijZi1r0Esq6oHQ6zbFjx/B46gtUn0U/1uqWKoGaynTsj5pE8sLggpKmkPdizRdYyHuRHQYmOQbAYsqFbK6odp6pzjyczVm5GD2MpbVII6QXnchy9TlYjVpWw2upTb5notb1E5lvrGkPILVoRbXqzDQ2cGdky/LyufnVw561CreOzZvlwkiRvTEMCWegtuQDgCTDornWZVXVR9m/6rr4UnmIodktVM51srX2nrS2TJDJWxh8uBfDV7yesXh1rhRTReZkqyXLbKTsmlpMegGwmyIIAVZzBKFL6JJGyrDzR6baXEGV9l5mbtbjeCVR8saNGzl06BAnT56kra2NTCbDwMAAZ8+e5caNG0xPT78rmpu1HK+U/flVYm6MxxYJP/7fy5LE7z0Fbp53CYb5+XkuXLiAy+Xi8OHDNZV9X1S3VCwW48KFCzidzrr9fpw2ntbWyy31KOHwSvuOEsNkJIgr0EiSGaMRIy/wW4sT5KjRjc9WBiKKXu5fJm9jPBPC1FTR50TtvfB6q0FLoSDjC8RqtvN4UjXLUvHaMg7FjhQnfdViMN3UzL3RIhOyMhJpua8ZK+6mateSbXOK6UgTU3OtWB25uvsBRC0W4ourA9yC20J4pqnuutb2cRZTPlLW6i/iYChMPFk9kVjMee5ObmXeW3bP+ZsjFLTygBnyz5DJlc+x0r1nXyrmaTJnSMfcqLKOOWfGLS8SVVT+hxpb9Rzg+bIpLwtz8ygzm800NzezY8cOTp06xZ49e7Db7UxOTpLP57lz5w7Dw8MsLCysC0v9KFsvt9T7mptXw15ocPNuuKUepy0hBKOjo1y7do1NmzaxY8eOui/di+iWmpyc5MqVK2zYsIGdO3c+ceHLtWpu1sLcCCFQFIXR0VHu3r1LNBp9x3suEPylkiWftaCoGnENVLuOVJCRJcHIw1aMtI5akXPFnSwCnWzWTF9sF3ZPtVBYWiHUzWdUvCtYkYXpQFWbALmsCX+wls0Rufr3wO4os0GqXeehr53JcCuKuT6In55sQV7xGKpmg+HF3cSi9YEJQCGvYmtPMjm3rf76ggl7S4qFZGvd9aqic2dsP46W6pw+smIwM18btRXJNWD2la+pxZpnerLsEpVlg+xC2TUV9M1RevwD9vBy1JSsFZ8jq5JCkg2cuiCi2fgzafWw8Pcyc/OswZQkSXg8Hrq7uzl48CCSJNHc3Ewul+PGjRucOXOG69evMzk5STZbP8pvLfZ+tNST2/qHga9/UsBnZS+HMugxTFXV5wJudF3n5s2bRKPRdywgqSgKudzqX8uPa+vFmGQyGe7cucO+ffsIBoPvWj+epo0SW9PT00NjYyORSITbt29TKBTw+/0Eg0EaGhqwWKpZkP8sJZkReTy2DKaMTs5iQUHHMZ8gpVtJNgVQZ6vBls8XI5830Rs5CI06brna5eSwV7Mv8YiXUHt1eHd6sdavH51toKWjNmTZXAes6LqEp6l6krZ4CtzMbKfZMVnnCkEs4aWBWqGxaeMiD842sY1Y3f0mJ9pQug1SDRr5vBmzuVpbE5nqROk00AIZCnkVU53+TqVchOTaCC5phc5HCIlswA35RczmMsAp6NX3LZ0zKL1ZdluaqbkWQg0zqKpGKuzB0xSlwTvLom7HZp4nlm9G1VLkLSb+LyPN5/T6E9j7mpv1sZLurbGxEZvNhhCCZDJJNBolHA5z9+5d7HZ7VcHPtfZtrZqbQqFAPp9/pcDNq2zvGXDzPNxS6XSa/v5+ZFnm2LFj7+jOWQ8wUGpnLcAtn89z//59NE3j1KlTT03Lvhuam9IgWjp/k8lUVWsnmUwSiUSYmprizp07OJ1OGhoaCAaDuN1u/pgctqyE4tZILNpoWHIVua0JRuKbkNsETj22fLzcvILdk+Hy+BGULp30hA2lrXzOwhD4fdW6jnyy1q0k9NpJLRmvnzzM1xSrWRadasDWXgsWhF1wK7KLxkIE1VT9TGhS/YR/AFOilW3cqbsukQqgkMHiyTM8sJVtewar1j8MN2DtzGLx5rk/sJlte27VtJG0OWESQq3VdbCcLTPMz/vw+4vM1t2hzUhbc0TuNtOyuVxk1NcURdMU1KXMxqGWMLmsGYu1CLSMytDypWdBNeVIRpvwBBZxZhUy7gTmvJtRTeXPRZbPyrXv5/Nmbt7L4AbK0aWSJOFyuXC5XHR1dVEoFJYLft66dQtN0/D5fMt1sGy22pxK72Rr1dwkk0Vm8VVK4qehIK8z0/Ky5Ll5ocHNk7qlHhW2+CRWD9xEo1H6+/tpbm5m69atj/WSrXdiwaexZDJJb28vZrMZs9m8Jn/zu1EGohQNBcXnofKZqBxQN2zYQD6fJxKJEIlEGBsb4+2An4d7grilNJomo+aL7Rh5yCRV2FBsy11RB0lbtHJt/iDypqU+Jqvvc3rWQaipegJXqL3HVmstLW9otaBuMerGGagt0RCL+uqCm8hEEPfOFGcvfYAPHflp1TqLs34lcF2TcRxIcOf6Nrbuul2zPpGx4F3Km7PodiAMCalC4Fxwq5RgQtpc+/zkMhZMG/NM32qpATeyLFiIdC6Dm7DShIkCmUI1ELPac0Qmm2lqLVZLV0060+MttHcXSysEXHMIoyh+djmTzMw04HJmcFL8oFGkRcCGkdKQLFn+fdbBZ+u8os+buXkRQ8HXwyrF/PXMZDLR2NhIY2PjspA3Go0yOzvLvXv3sNlsVazO4zAya3VLpVJFxvVVipYqupHWd5p/3y31nE1VVTKZ+onNntQqQUlJX3P//n22bdtGW9ujo0oq7d2OlpqdnWVwcJDOzk4aGhq4du3au9KPSntc3U5lKYV3ioYqmdlspqWlhZaWFgzD4Fen50hOSzRvSDEx1sLGppFi2xGJ+WAjCgJ9UeD0lt1M4XQT3h1lUa5Ktd4mv2CBFfIVh7VW4+EP1kbtWNVawBOdCdAWqHUz5fL1RcapBSduUpiP5Oi7to99B/qAom7G1VYrVgaIjDdg2qATtXswDKkmMsvSXu6XY0OKu32b2bJvqNiPjBn7xnK7ni0xItNBgs1lN9yDkW7UHQb21jS6IaGsaD9vLQKQ6YlmTD3F6xnYNE8+q2K2ltnW1LwVKmQ9leUvTJYcA9f3kdvoIOeRWUj4sToymAQoYY02/wPkhAevY4GIKnM34+cv8jo/b64eiN/rmpvndbzKEifvZJIk4XQ6cTqddHZ2omnaMqtz584dCoUCXq+3itWpd4/WA9zY7fbnek/et3fP3jN3eb0LXuq6jqZpDAwM8PDhQw4dOvREwGY9+/SkIEkIwfDwMAMDA+zcuZOenp51ESWvh6D4cTQ3TwNsKs0wBF/5k7vM+w1sco5cSkW2FKOOAGIxO4priQ1aLA+WE6Pt6K5qvO9cyYbkau9DwF+tt8nELXiDtQnxfA21y3KJ+oO12VIfqBuUGY/EZgdTI0Uhbni0GZO1/jOyMF1M7GfdWODmpV1V6+bDPmzN1aArIpXFvOMj7SgVxTYlGSLh9qrtdamojnGGkkQedtQcP9Axy+J8AyPz3cvLFItGeKQ6r5K3Yx5NKw9JobYw+ZyJyGyQweRhpq1N5JzF9epSPbCCE2JGkAF9D5mUB7M5jykpE1CT/E6+dnh73y21fsd63GjFlaaqKg0NDWzdupXjx49z6NAh/H4/kUiES5cuceHCBYaGhohEIlVSg7WCm1KOm+d5T95te5UFxe8pcLNemhtVVclms1y8eJFcLsexY8fwer1P1afnHS1VAmTj4+McOXKEpqamdevL89DcPG7G4dVsfj7D5z73p/z3oJPEvA23KUk41oYrEwMgOWNDDZZfTrNedGXOz/iYawrgCpTFw4YG3obqKCibWh3ynQjbsHuqReMLU7U5YZILdjyh2lw4wjDXLAOweesL0W3BMouiugxuF7aSz5qYn109D022UNYYLDbb0Arl859+WJu40bV7kenhYmK9udnanDpaUx59CYQYhkSqsfxMTE3X78fwrQ2wInDKYl1Rv8uTZWa4nNBPNWlERnq46+4h65NwNicRRvHZcTUm0LPFPljlAoZNYcLrZnKsEw9pFEeCYZPOX6VrS3U8bwDwvI4Fj8ekrIetV44bSZJwOBx0dHSwb98+PvCBD7B582YkSeLevXucOXOGvr4+xsbG1nzM98PAXy17od1STzIwrGe0VC6XIxqN0t7ezpYtW576hXrebqlMJkNvby+qqnLs2LGqyKHKzL7vZnXy1ZiblcLhpwE2N27M8Q/+wetcdbnw7LSSs1qQLTrCB86FDMKQCGuNdIfKQlavaZ5M3MRDuR0jBuamshsqH1ZQ26rvn7ex2gWVDnuISRkmHrazWLBQcDpYnLExGugAQ0ZO6RCVYRY6Wsfp3P4A1Vxu0+6pZXMySQue9ljNck2TcbVXH9+2Jculs4ex10kOWDI5UD6erUvj9oUt7DpWFAUnM3ZcVLuzJFliZKKb5o3TGHVqvtqac4xc3UjPwXtMDrWhbCt/VHh3xGrcTQCLugPLijw7luYFtKyKWrFtNl8Wmi5MhujPdeG1xgAwu/MsPPRh70yDKpAeWmBjBtGQxki5UBw6Kbuf3IIJhzWDR6T4/6T8/Ky9fP7vVc3N8wY3z+rcFEUhGAwuR3Om02nm5+eJRqNomsbg4CDBYBC/34/f70dVH38Ke5WZm/Vu82WwF565edwHcT1cQCV3TiQSwev1sm3btjW9wOvJ3LzTuZUSCnq9Xg4dOlQTEl06j7WWPngWzE1lKQWoFQ4/jv3gB3f48Ie/z9Wrc5i+9iH0vBlvdpE5rQU5o+EIpJi550EqGMjqkrC4AK5AnLvh7UgNCspcdb/0cPVLnFs0416qr5RLmbh1cQfXIzsYDO1i/rAX/YQNeY8BditKAyghA6lbQjokmPM0MLW3mXPpE5x5+xSTd1rRdYlgV6zmXCKj9TMWL4z5MNlr2Un5uMFCof4XqV6QcWysBkSJNheFXPHchL/+dbYfSLEQ9mLdUp9BSlIEIeHZavRj8eR4cL27ZvvFRg/zI9VpExSbxsL9amaoYcM8ui6TmHdy3daDY1sKLV2+D/aKx8+0VKhUUgSWaHEbm5FjvtnD/FQIszXOsE3jR/HyOb5X3VKld+p5gpvnUVfKbrfT1tbG7t27Adi0aROKojAyMsKZM2fo7e1ldHSURCLxji7zVCr1SkVKver2woObx7W1uqU0TaO/v5/x8XHa2toeO2vvO/XpeTA34+PjVQkF6w1wLxK4qWyjsqJ3af2TTAiapvMrv/JT/s7f+SHptAYf24zcIpNrsCPrOnKTgTWSprCostjegDVZcexxGL7Tg9hcvDbyinncpFX3IztmIhs303d+B1e0w8SOepA8tdfD5qsV9qpyUdciewV8AEa2dvPG6VNEx2vzJGXi9UO647Orhc9KzLY3k1msdXHNjvhQbCsFxBq3rm5Gyys4euqLkFWnweWr+1As9ScMx54M8Vkn+WAtqMro1csiI36UbTqLYXfNtsl89XumOrNEh1oYju8Cv4RkMUiOlPOSmAJJhF7sk6ktiZ4o3juHvXh9C74Mak4Qd6gYMReQ4TcXyl/371VBcemdel7n9m6UXgAIBAL09PRw9OhRjh49SigUIh6P09vby7lz57h16xYzMzMUCoWaNlKp1CsVKQXvl194T9hagEQymeTChQtomsbx48ex2+3rFsL9LMGNYRjcunWLu3fvcuDAATo6asWclW2U9nlaKw2ca60NVdp/pXD4SQfL6ekkn/rUn/KnfzrEoUNNnDzZivn/9SGEoiALjVywCAYcuTyTUyGwy7iWXBwAyaiL7L4yYLC7q0W89opSCYYuMTnWzLX8QTLHPcie4jk4GqrBgTAE9joh3Kqr9jlIOPzc27SZS2f3k62or6QZq01Q9Sl4LerAvAnCs9tr1lmk+l+q+jYn8+ONNcCn0uI2J4ZWvy+KSTA0uAnLtlpmJ7A/QjxSPu74eDEESm2tffZ82+fJp6rB3HyihXhX+Vyd9nIfZHeBzL0ieJIUAdPF66b5MyhxCdkksEUMFI/Ow8UG7BmJcWeBP40Un633ahK/tQh8n/Z4zzsSDKhii2w2G62trezevZtTp06xY8cOzGYzo6OjnD17lqtXr/LgwQMmJyfRdX1dwc23v/1turq6sFqtHDlyhMuXL6+67e///u9z6tQpfD4fPp+Pj33sY4/c/n1bH3vhwc3jDg5Pq7mZnZ3l4sWLNDY2cuDAAcxm8wtVEwrqg6R8Ps/Vq1dZWFjg2LFjVQU761npOq6VuVmPNgzDWHNE1LlzE5w48cecPz/F3FyGK1fCnHX7yIdciA1mlLkCSnBJh5ArkN/uRBQEjrYi8MhMm0lZy4yA0ASu9rL+RRgCX0exVMLCAx/X7uwl7g0gVSR21tMStrbqSKPMpAWTu/qrURgCZ1ctQ6KgISkS+ZMObhiHyc8WQcDmPfUBx65D9cPD25fu/WyPBbde7RJq31i/XpTwG/g69tZdV7JNH/LhydUvuQCwaHUgybX3TTEbTNwpCoMNTSK7pQhG7J1p5m42VG9r1ZnuL4ua4xMeHnT6q0CV0ZJEr3BNuSqeFaezKAiXZLDMLAEYS/GeuJwZpnQfacXgtyJFAPVeZm5etgrdT2K6rj/SXS3LMj6fj02bNnHkyBGOHz9OS0sLyWSSX/3VX6Wzs5O/+Iu/IBaLMTdXm8X7SewHP/gBX//61/n1X/91ent72bNnD5/85CeZnZ2tu/3p06f5hV/4BX76059y4cIF2tvb+cQnPsHkZP1M4+tpGsoz+XsZ7IUHN49rJX3L47IKQgju37/PwMAAO3bsqBIOr2fyvZJQdi22krlJJBJcuHABk8nEkSNHHisCoPRV926Dm8qq3k8LbH73d6/xa7/2Nps3+9m/P0QgYAUJTF/5AIqWRRQEypKHUgoXWGgu6kJMkwUUq4GRkxjLd2FrKotwjQkF1Va+57mHJkwOjXvnergb6sHYYcbaUA1kcqOWZf1OyfLTta+UETFjqsPc7D1UZo0yXonLDd3Y9P0YqyTji8v1lxuUQc+AFEIV5d/h3OpC47DkRxH1BypFKIzIBnHr6qC5+0AAa6qO4hiQg8XrMnmjEbkiL1A8Uus609VyH4bCWzA1aaRulN1VstVAjJaBqNKWwFjCj6IpBQvF/bUl5s3aksUcE+gNOYSQUCcczLsLfGdCfc8WznzepR7erYrgj3uOFouFlpYWdu3axX/6T/+J7373u7hcLm7fvk1TUxOHDx/mG9/4xlMxKL/927/NV7/6Vb7yla+wfft2vvOd72C32/nud79bd/s//uM/5u///b/P3r172bp1K//xP/5HDMPgzTfffOJjP6mVkvit79/74Oa5Wukr4nFASaFQoLe3l8nJSY4ePUpzc3PV+vVkbh63T+/UTqmNcDjMxYsXaW1tZe/evU8ULfBug5sSyFtYWGB2dvaJv6ITiTy/+Iv/g1/7tbe5dm2GM2cm6O2doVDQCP4/P0zB7UDpkND7rVi6i+6S/IQZo6H4bFgSxRlx6lYzuh0sDeWM1sp0Nduiz6gMXtnJ/Ak/2CWMLNg3rHBBLdTeV7+jVvcVqh/tzaJUDZaEBBelBtLGHhRR7aoxCztJqb4+JkX5Gs7KBpJRFF9KhsyCZXUd2rAMPqNW/AvgEQ3kJMFtRcNbJ2RKEhIjVguytbnO3uDemsaU99KwoTrjoWN7AWPFZfPvjZBdNDNxpZXCweLznI9Xuw8SFZ4+yaFhGltyTcmgThevlSWUw7QkAnenCmACZyZDxiejLyr83rwJ3Vjbh8aT2HuduXne4OZpmSKLxcInPvEJNmzYwJe+9CWmpqb4h//wH3L//n2+9a1vPVFb+Xyea9eu8bGPfWx5mSzLfOxjH+PChQuP1UY6nV6uife+PTt7z4GbdxIVl/Q1QgiOHz9et4jaekY5wdqYjlI7uq5z7949rl+/zu7du9m0adMTf6mtFdysRXNTckO1tLTg9Xq5d+8eb731Fr29vYyPj79jFeGbN6P88i+/wdRUmvb28j3r7rYjWWxETu5EimcxNFBNBWQ3aOMSOMrgz0Wc6NUA8X1eLA+rS3UoFdgm9dDBWKqTzKHyBKuNgGyqPu/OOhqSto7ae+Ky1DJrqiEzL9WyKm7h4JIiEzEOYRFlZsdmrF7odGaFEvq8LKMkvahZD8Yq84Fd2JiRNW5KdmRRr05BWeisi1oA4xUNLEqC+3Iak6jvLtPSAe7Yq8G3qUEnqFVHSCkWwex1P+P+snvKvjuFni9fS8eOJFq83M9kRd5Ew1l+dqyJ4j3SPBkwBHogi2aWiM1bSBkGvxspHrtQKCyzh8/Knjdz8152S63H8UoZikOhEF/60pf43ve+x/e+970naiMSiaDrOqFQqGp5KBQiHA4/Vhv/9J/+U1paWqoA0rOyVzmJ3wud5wYeX3NTEqQ+iiUJh8Ncv36dzs5Oenp6Vm17vRICrhdzI4Qgn88zNTXF0aNHn7qq7XqAm6ep6l2pr7Hb7WzduhUoDjZzc3OEw2GGhoZwOBzLRTHdbvfy/fnjP77DP/7Hp4vRUEvmdNrYvNmKJNlIffY4CYcF2ZtFG3LiapxHGBAf9hA4VCyDIHSBYtWZ7CxOoGqmGqg4lrIHx254GW7qxOarBlt+UXsPGzpgYsUyrY5eUTbXDga2tIm0sxYkmpYyEN9WIGfso4sBslIKBTtQmwTQbjiYkqufVUOCh8omdppSQP1Mxy7DD0qR6dmhdxNR7letn8cCSzWz+mXBdmElV8E0SaLI5uQlA7feRVQZqjmG4fCTVWVWvmW5LLACD23c7mfCX2arFK9B8rIVz+Fi/2WrIHHFg+9UMamic/si+bQZxS6wdGRIjjlQOgy0YAo0K6pfQ74J9Ogog3ksIRPzMyZ+rLTwrxuK7r3K97I0fqwnQHgvMzfvhltqPcDNux0K/lu/9Vt8//vf5/Tp0+sSkfu+rW4vPLh5ElvNnSSE4N69ezx8+JBdu3YtZ+19VDvr8UVX0rmsBdyk02lu3ryJEIJjx45hNq/i43gMe96FL6G6+OVKn7nD4cDhcCxXEY5EIszNzdHb24ssy7hcPn7wgwj/839OkKsoexAMWnC5FHp7s+BV4JdbIKcgmVWwyZjbM2TP25CFgrwENtRhjSnRAu7igOwMlvUrRgZcm9JErvoZ3dEJFnDbMlRCj51bFe6tOLfoCjeRWdRnYxJSLcAI2nxEma9ZHs9kYGn8HZFBN/awkQG0GohQNJeoLxietCm0ac3ASN31Bg6geB/vSE4ahIRYquUkCYmRijw7OUng1juYU+4uL5vGCktXaEZS6g4kI0kLPouFmL1aKzTrFDgNCbF0DNmQGHSFcBk6iQqg1uCXqeTXpIpipKrLIH7BguPYUgj4QwtKRwbVp6ENmFH3FHCrGWLYCThTzJp9WGZ1jKyZXxvy8AcHi2xXCXQLIZY/aErv7Vqjj97rzM3LBqZSqdRTfxiWLBgMoigKMzMzVctnZmbecV75d//u3/Fbv/VbvPHGG8t5e5616c+gKvjLwty8Z9xSUJ9xKRQKXLt2jXA4zLFjx97xASy1s17ZjtcClKLR6HJiPmBNwAaeL7ipTMxXGuQfNdCbTCaam5vZvXs3H/zgB3G5uvjqV/v4vd+7xYMHcWQZOjrsHDvmo63NQmOjhz17Apj/zidBNqHY8ugLZpRkDlRI2v1YK7L2Jh660bYsRczkBJYN5YlSfqATG/TxcF8X2GTakRGOalYlK1W7foKGiYxUrdNpMOzLAKFkqpBZqKOVEau8egm1+rl7KMOIvrvmWCWTWF1MflNqwCbq58ZZqIAj07JOsEJ74xFBklL1Pb4jWZBE8f6ZhZm7FeBnQk7jNla4mjSJIY8fs6W2fENWMWiqcHW5UkHGTGacKzRM+kYDU4XLzLkvj7ZQ/q1I5e0d3QmMtEQhrKCkimBS2ZCBmEG2LY+S1lBtEimrxE9nFe7HiyyNyWTCYrFgNpsxmUxV2j1N08jn82ia9lTvzfNkbt6NIp3PO1pqrcdbj/ILZrOZAwcOVImBS+LgY8eOrbrfv/23/5Z/9a/+Fa+99hoHDx5cUx/et8ezF565WUsJhkQiQW9vL06nk2PHjmEy1U+OttJK4GY9wkafBigJIRgbG+Pu3bts27aNQCDA1NTUmvuzHqHpjwNuSsCmMiX8k/T79dfH+OVffoNotNI1JOFyyVy4UMq2m4aeNuTOEPjN6PE0bDZhiy+SHAwgmhVM9uJ3f+GailQBVkz388g7yr93dzfwhkVBLPWxRQhGK89ZCGZXMDL2tEZuBcPtwkR1CU1oMBzMKrGac6wHVkxCIW6pvT8PJYlEqoUWxwK6XL0+vQpIMgmFu7JO0NgMykDVOklIPJSrj39PcuFbYm9UUSt0nJF1tuptzCnjeIwm9JXzjGgEyqGw7kIjOZvCkMjTIBQ0qbrf+SW/lCQkhhxdAGhuDxBb3iYjGfSkTDwslW1QYZfbze2lbdz7kqSmbczfDjDnCJK67sHYbAW/QPmrLE4phlBUpA8ZqJEsqVYH3BXEEzp/56cyZz9Xfo4rXVKVqQpK0Y5Pw+o8T+bm3XATPe54uh62HmAqmUyumbkB+PrXv86Xv/xlDh48yOHDh/nWt75FKpXiK1/5CgC/9Eu/RGtrK9/85jcB+Df/5t/wjW98g+9973t0dXUta3NKldKfpWkoSOvMtLwsoeAvPLh5EqsEEtPT09y4cYMNGzawcePGJxpkKoXAa32hnhRQlBLzzc7OcvDgQXw+H/l8fl36s161oR4lKK6cFErHfFwrFHT++T+/xO/93iCqKtHZ6SMYtOJ2qyQSSbJZie3b7SwuZkmmCqT/xscomJWiNKSp+EVmFFRyXQ6klIZpXx5jVmI+HyKwtSz22+LOLVdT2pxrIKzYERWuIzvV7F+LUMmsABWmQp0yCHXOybFSXLJk0TruK7/hYlHJ1ywPChf3XAq2xFbcjptVB5rSUtQba/zCzYgMZ2WVjxsNzMvl3B5e4ePeivIO47LOJr2TiDLKIlZKLqtKi+ADxsngrVl3X87SZKgYS26lpLnIzGQkgyY9xIQyVbX9iJykUZjxGw2cU4qT5ANVp8MwMy+Xr0FhRTcWtdzy+XbLfkZEN707iuyUPFvAwApmCX3ezOLuFqRpDfUvC1g3x8lhR8pq5Fwm+scMNn/hCr+0V+Ezn+lk9+5yRFhlSggoF3NdWSaktO1qWp33OnPzMrmlhBDrlsTvi1/8InNzc3zjG98gHA6zd+9eXnvttWWR8djYWFVf//2///fk83m+8IUvVLXz67/+6/yLf/Ev1tyf962+vefATaFQ4M6dO0xMTLBnzx4aG2tp8cdpB9aHCn0St1Qul6Ovrw/DMDh27Bg229KgXfFFuZb+POvK4JWMzZOyNRMTSb70pR9z+XLRl61pgocPEzQ2Wjl/PkouV56Md+4MENu7g4LHAa0muJ+DdiskdbKeIsixzGZAhsVePxZnAamCjGht0bgL9OQb+C+pVg54q5Nv5agGGA1CYoxqs7utsKJY5UrXFdQHPG7DRkSuZW7sWIFacOOQHECWGy4PH9X2kpH7AVAKCvFVyiNYRfE6CEli3OjAIeYoyXYsq+h0Hko+HGKUB6vMIbfkAkcMH8OSykrwk5Y05AUfhn8Ok1Dplcsu1Di1wklNMgjoIe5Tfj+FBCHDyXyFFmnKKWETCpkl5mfcnMeVEZiSAf5Y2cp2s1HSPWM9IJOO6xhmBanRQACiWaXQJ9AeBlESOfTtVpgEYZaZ3rGHK71vc/ZsmImJBJ/+dBc///NdHDnSWPXsrsbqlJ71lQxlZU6p97Lm5mV0S60HcwPwta99ja997Wt1150+fbrq9+jo6Loc82nMWMpNs95tvgz2wvfySQYHSZJ48OABsixz7Nixp0bp6xXlBI/vllpcXKSvrw+fz8fOnTurXuTK/qyFCn6Wmpu1ZBx+/fUx/sE/OI3VqnLgQANWq4qqSoBgYiJOW5uDQgFyOZ3t2xu4fDtH6nObwTBgWkdqNCEA5YaO/vHipGq3xVAuSGQ73HyoIcqtiuPNSRk25wP812QLPsmoijaShCAsV0dKWeuwGIt1RMIrBcYA2TpgxSOcRKitBr6aDkdUvKZvqnZ+rtDDvOke1qwDVnkckpq8zHDcViR+Vt/ArPJgqU9WoBZcjcgaH9W2cl1dBbxKEsLYwKRSf33eFURmDr/RRFop3/+7cpZNho2kXH3NMtjoV6qZrfCKxyYvCbbpLm4vufaEBI3aRr6nFLVztyUJfyHHvMlCWpHYY8vQpzsRm0yY7ucpNJmRJTBsCvq4Cld0ZAdIfgk9ZeMNaSOceZuGBivXrs1z+vQ08/MZvvzlLZw61cyJE03IcjXQgVpWpwR6Kms8Pcsw85X2sjEpT3O89QoFf5VMfwZuqfcFxc/ZFhcXicViyLLM0aNH10Q/SpL0XEswTE9Pc/nyZTo6Oti9e3fNS1wCC8870ulx23jajMO6bvAv/sUlPv/5v2J6Os2DB3GuXZsjFstz61aSt96KMTxsMDycxWazYrd7+OlPF0idOAlZGbosMKMjumS4rkFD+biHjirM+oq1ttKizAQ0FwoENAd/mmxDILHZVD3JtwmJ1Ap9SEqrBi0OIbOwYqL2GxaydXQ0C3It4DGtgkiSUv3nJLFC3PtDJYA95cNlWz33zYRWDaquSH5MogiSZh5xe6aon5SvZHN4sayS1XjMlMFp+FmkOumfIYFP1DKoczTgN6qvxZhcoNmoFkFXXunObDtXtHJQgJAkNlc0kSyUI7MO9Sz9s12BlAGbTEg5GWNKRm9QwCaj7NjI5g9uZXExz7VrERwOC16vndOnZ/jVX71ET8+f8I//8TneemsKXa99d1aKkkvlW5LJJJlMBlmWq0TJzwrwPO8MxS8bU1RyS60Xc/O+vfj2wjM3j2OTk5PcunULh8NBMBh8oqy9q9l6lmB4lBvn7t27jI+Pv6ML7d0I436nNkpiy6ep6B0Op/lH/+gckUiGEyfaAEGhoONyWRgeXkRVoaXFhhCwfXuQ4eEMqioT+shu5noCSGYFcU9HWBVEAdSsQD6soAPt5gJ3ZwIUlrB7IlgOW/ZG8vyZqR1j6WvcsyIBXqsweLCir5EVjEzIsGPGjMBJGitJTAhhQhcZrBg4KGAng0qGsFyb2KtQhwmCIqNUYwKmV7i7dFmmz76VQ8YiUJv80CxUJu3VoGFOlti00ITqDjMs52GV0PKo5KLF0JiSY3XXL+Ck1TAzotRPWKaKZq7KtTqj8RXPhUuYOS27OGQozLNQtc4j7ExXQJr7cga/MNGgefiTdDFP0QZYvk/zJnWZiHrodOFP55nHzPWCQBUGmllmb0OW/rQVU0Ej32SB0wXkDRJGQGFsw34OFFLIkiCRyHLz5uKyZqyx0crt23Fu3OilUMixb18Dn/vcRk6daqlidKDM6iQSCa5fv05XVxeBQOCZhZpX2ssGNp7UdF1fU7RoLpdD07RXDtzoyM+AuXk5OJEXHtw8arI0DIOhoSGmpqbYu3fvcvbI9bD1BDf12ikUCgwODpJKpTh69Og7quafV6TTO1lJULwW4fDbb0/zt//2T5mZKU9goZCNhgY7ly6V9S/d3TZU1cqbbxZjkNyNTjLtWzGSQJMAt4qlQaNztoBjj0KfWuzDNkPiR/niBLvRliO6JJ7dUjAhye3ocvkaLGTmwV4eNG2iWijsyRTI2cBjWPAaDYzgZQI719RqUHFMl+lVKp9VHzt1M2N0cFBP00CEGTmMLhks1tHmeAw703KtSNkr7IzKtfc9Kkk8FF3IYgBjRfh5QLgZrlPQstfTyPFEDuFZ/Z0alVSaRIDKqKWSSQJuyybchrrqwBHDQhIZqO7TlJxnj+5nTimyaB6jmbwi14CeYh/04u5LqwwJugo+/iRRrnrfIsGDpUOMAK3ZFJNWB5okscNucCYNCdXMXnOW/oKNsKl4DdWdCtqkgeSXEJMgXJDz2hjxbCP2k/PkcjqhkJeeHgfhcByv10QsVuDGjQWam21YrUnefvscsViWz352A3/zb/Zw5EhoeZyKRqMMDAzQ09NDe3v7cn8r9TlPIkp+XHvfLfVoS6eL+rj1qgr+vr349sKDm9Usl8vR39+PpmkcO3YMu91OLBYjl6udOJ7GnqVbKpVK0dvbi81me+wQ9WctBn6SNirFlE/C1ggh+L3fu8Ff/dU4XV0umpttZDIGPp+V2dksY2MJPB4Vk0ll164GwuECZrPM0aMNOBw2Ltn2oFtkJJeKReiYHQZtG2TuDMsc8xfP65ikE9PL/elyZ7kOdGoK16830tJZzcIkfNWRQZH0ArjL+7fLPuJaCz+RXOhLgOG4qL2G+TpsjA1ISTJvKU7ASUi0c0KPMidP12zrFg6mqXVhuYWTeiJjm1B4SzHzs8ZmIiuyA5tEfV1BTpZJO3ZQm1e5aA7NxJAqMSFkThouZuVE1fpG4eKmLDGvSBxLWZlz1LJGWbx0GFYeKNGadQpeYB5JwDWp6Loakw126VbGlXJbc7LOTt3JQ6XoYlKFxGiylVTFF+iDFTrqLoeZyaXXbLoCvEp2MyxC2ORguyPPrZSZXYEFrqs+bPey5CZlaJSZmW8l0LWRD3TkSKUyGIbBwoIEyDQ1WWlszDI9nWF6ugjI9+3zMTqa4qtf/SnZrMbnPtfNRz7ix2SaYvv27TX16uqJkkvv0HqwOq9CEr+1gJtkMokkSa+c5qYYtv1+KPhLY7FYbFl8e+DAgWU31Hon33sWbqlIJEJ/fz9tbW1s2bLlicpLvCjgRtO0J67Su7CQ46tffYsf/nB8eZnJJHPkSCtnz5aywyi0ttrx+1389KdFwW17u4Ng0MaQ1k465AaPTKe/wKjbyqEenfGwhIHEiCLRgcGNWzLKtvJxFUeORkNm8nYDmiHxoKK7nYrGYsVEKAvBorPIOgRiMJloZshi4k6wGnzO19HGzEm1rEt+BXsxIyn00cYczXxEnyEsP1xmXdRVdDi5jLacsbjSGoWNUVnir2QPP6+HmFbKGVOzmIDa/gA8kLw0Gos1wAXAmjKBp6hjSaed4KjeRi04l8sm6NYmqMoGVLRByYlfmIFacDMkFwgImSbDx0WlfL5O7Kx0r5mxAkVw05Ft5vsZF5ssecaWrtcUsDGTZthWnKyGZRlVF2hIjAjYatK4U1AZ0CVaVIMpTcblViAFCY8HFgWbdgmu3zNjH0+RdpuIbdrNwweXuHsry+bNdrZuDTI4OMf9+0lkGfbubcbpFEiSzsWLMxSW4tR7etxcuRLmT/7kNk1NDn7+5938tb+msm9fQ917UE+UvFZWxzCMly7vzJPYWsFNKQz8eQKy9+3dtRce3KycPCcmJrh9+zabNm2iq6urav2LCG5KTIcQgtHRUe7fv8/27dtpbW19qnbWoy9Pa4ZhYLVauXfvHpFIZLkO1DvVSBkcjPLP/tkV7t9fxOs1k0wWaGlxYrPZloGNxSJx8GCIxcUi6DlxIojNZiccNhiOOMnu68TbIBB+iUSDBXKg5gWjKYVNQYNxQ6JjStDqM7hTIXhdMBXI3W1gKm1mnz/PzYp+dakF7lb8btcFpoKBFG/hdVrADEfs1SUSTIbBhFINHFyimORupUXrAB63ULkjwX9VWthmBNgmRpiRF8hRP6Q7oWvU0/3blopVCkninNzObrFIcqn207RUvy2A+7JCj9EG3K5ZZ3GWNV99dgd7MjJpWxn8jWXEMri5KiscMKwsVESWNRku+mSFKaGzfcU6gJSks0NvIkZ1KPodWSCLovupZENyAYuQ8Aszf75Q1Nm0GApjFdfeVlFePALsVqB3aVHQUoCCioHERrvOVFymtyATNAtG8zL7GnX6Z610Bwx8QQvxcIEHeQvj0d20tV3DaoUrV1I4nS4+8QknmpZjejpJf/8iTqfKwYOtJBJpbtyIcu9eHEWBgweDZLOCt98O8x/+ww18Pguf//wmvvCFTezYsXoF6PVIIPhed0utFUwlk0kcDsdzFV2/CKajIq3zNL/eoeXPyl6OXlJ8uG/fvk04HGb//v0EAoGabdar4GWprfVibnK5HNevXycajXLo0KHlcgpP2s56sC6FQv00/o+ySo3N5s2baWtrIxKJLBe8dDqdy0DH5XJVDSB/9EdDfP3rF8hmy9fyyJEm7txJEw4nUVVwOExs3Rri3LkiW9PZ6SAYdKFpCr5GPw+bumnplpgMqHy0U+e1hMoej87pmeJg19woCOUE56IKp7bq3Fk6Tpclj/HQx73F4ozscVSfu00t/5YFmMYNLtr2kpHKr0XEplCpH2nJFphdwaS06TIjK94ku4BwHXBjSOUJ4bZs4a7Yys/rcyxItXWmAFIuM/VYmGzFqzsnKaT1LaAMYBMm7kka9QTDQcPKqCxxSbHwc3qAiRWuo0mp/OVvSDIecztpHgIg6zDsdFesl3AbDSxQwcQtVRIXEngNPwtUJ+4DiGPjjFx9ARckwSHdyT2lHOmUkgy26G4mEyGySzT4sCYXb9TS8/XQ4cJKmfMxywal1Mk3hcCKQRaZu8jICApIbPPpnJlREA4QSISaDC7cVNmsyhzfqXMz70HL78Ysj+B2C5qaCly8GCUeN9i40crx4y0MDs5y4UIRlLe3e2lszJPLmbl0qXw9VVWiq8vO229Pc+7cJOl0np/7uW6+8IUeNm3y1lyXkj1tAsFXwS21luOtR+mF9+3lspcC3FQmtzt+/PhycruVtrL8wlpsvcCNEILZ2VnsdjvHjh176kqw75ZbaqVwWJKk5bThXV1d5PP55YKXDx8+RFXVparefn7zN4f4z/+5XG7SbFY4dKiFc+fKRQq2b/chSTbSacGJEwHsdjujowZjYzo7doSYsrXSvttMY4cgpBlMSxJuWRC0CkSqOMlZFcGPbxUf5ZhFAgMkBFuzMq8lywNa0lx97gm1qGUJ5STmh30kHOYqYNOsGMyvYEFarBZmV1TaFrEYBKsjhNoMlWGl9vlZXBHWrUsSP5ab6DYCeI27xCuit5yGmYk6ImOAGamYB6hkFxQrn9O7kEgilPpfp94KLc6I1IRFRFkqF4VVqFxfsdtF2cw2TSWtajTqLm6Yq4eLi7pMuyShLQm2h6VyJMqQJGMVUo3Y2dCcuBUTkRU1tDQslNxQJROag9Np3/LvSSHRk8ry0Fl8/xPAYQkuLx3iOuBFEENiEThsK3AxY2HGkDjo0LmaUrmHhCIJ+jMK3W6DqwmZJpeByyK4fldl/36daVsQ9Z5Me/sMipIlm11gzx6J2dkk589nsdttfPCDdgqFDDduLDA+biBJeXbvbsBuVxgcjJBOa8RiOZxOhXv3Fti1K8APf/iQ3/qtK+zYEeALX9jE5z/fQ0eHm0fZ4yYQLI1Vzwt0vGxuqVeVuTFQ1j0vjfG+5mZ9TNd1Ll68iM/nY8eOHY98wF80t1QsFmN8fBxVVTl8+PCaSyc872ipx8k4bDabaWlpoaWlZUmEucDg4AS/8As/ZXw8TzBoxeEwEQo5MQwTkUiB9nYLui6zZUuIs2cTFApZGhstWK0OCgWFjRud5HIOHJsb2NBmJm3Aw7SMOQt3zRJHMBhfKqjYZjG4PFy8rg5VcGfJt3EibxCr8HMoGAxXlBywIBiX8/REVc5MdJCTzGy3paqCfLrM2jILtHwNpdrr53Q7WZkUz5TJ1WhlJAETdfQ6LYaJK4qJJn0Hu5LXiTuLbXmFm4k6rI1VyIxJBivZmR/KjXxaN1EvPBxAq8gUfEs28Rm9ibGlkO4Gw4OxAhRlJQl10Q6BOCbFx0pLmU0EEw7CriS2rESftRx1FpENjut+RlewQ0M5H82yiYgzXrX8hqwTEspyrh9FwOBcCwFJEK2sJC+qh6xKqXUO2G8SnCkUt88sgctWycBnwG5ZJ4nEAa/B5QWFUEAwEpfZ1GFw9qbCVr9OLiPRtkHGcAQIjMjkEwvs36/g9QqsVhttbRq5XJK33ir2v6vLQ3e3zO3bCwwOLiwtc7J5s5twOM7gYLHsxeXLxShAj8dKIGDn9OlJvvGNixw82MjnP9/D5z+/iebmd46YhFpWJx6Ps7i4SGNjI5qmPZNQ80orgayXSVCcSqWeeR2nF9H0ZyAoflmS+L3w4EZRFA4cOPBYqPtFckuVcu8Eg0E0TXuuZRxWsycBSE+TcViWZQYH8/ztv32bSKTIQGSzGoGAhRs3UqTTReTg96u0tTVw82aWXbtcBAJ2ZmcVhobyHDsWxDAceLv9JBwqGiA84EoKPF3gNQRTcxJjThmTJNhuNfhRsvgYb2ky6EXhhNA5e0shtLmMVDa59Kr8NZtlDXXUxRuJVpDAhFETgeNU6zEvdZbVeYt0w2ClVqbJMDGq1OphHCiATlgxEbPv4dP6GGPKLCbqu6RCws7DOqHeWUlikjZkcb9Kv1Ky8IrXvU9qICRm0SQDifohsnd8IbpFminqs6UzjhCQJCDVimejeYXK3Vp0K3+l2WmVKAaoVVyeggQduotbS5mIt2S9/Le0nZP2PGcr2J/7JgdWkSe7dH6DAipLdkaW0GkL4I4q7B41GJxTmEbQjGAyKePwGew36cghCFgE15IyfrvAaoMrt2RCWUFnwMDc7sM5bSWdNjM7GyeV0nE4ZAYHJdra3DQ3m+nrizI6quN0Otm1S6CqEteuJRgdLbJQ7e1Burrs3L8fJRxOsXOnn0uXZkkmC4RCTsxmE9/97i1+7dfO8bnPbeTkyVZ+/uc3Egq9swtFlmUSiQSDg4N0dnbS3Ny8/M6ud6h5pVWWm3hetlamaL3qSr1vL4+9FNJxt9v9WJPri+CWMgyDO3fucOfOHfbt20djY+MjC00+rj1Pt9TTZhz+P/6Pm/zrf93P1q1eTp4McepUI5/8ZCeNjQG2bXOwbZvKoUMO7HY79+4lmZ/PYzLZGBmRaGiwsXlzMyZTAFtjkLxHRXJB/30FkyK4MS0TA24Ny3R2Fq/nYd1gvoK9sHthv6xzYVCmw20wUxESHnKVQUK7AcpdwaVEWdS90a6zMolAdgW4UYVgYoWOxiIEU3UyE2vO2kR26mJtqDdAqkIHlZUV/pvcRYfeSnaVRHslMXE9uyjZ6dRbapabhcz9FYBoXFZoMYrbzlA/QVpClmjWW7i9ykR2T5ZoMzxE1Vpm565VwZ6pKF2QLrqtJgX0FGrB0sySHkkVcHW2GEo9lanucxKJnRWCcQPoqdhkDPj4gszMGRtnBq24ldJ2Ehv8xefm+oJMPCpx7ozC7pTOAYvBzk6D/qhCT4tBc6cgEpPRnRI5jw1/Q4jGxgY6OrxkswZ799oIhTyk0wqnTrXw8Y830dxs5epVjUuXCnR2Otm82Yosw/h4ijNn5ggEXBw/3oauS+h6sR8zMxnOng0zNBTnIx/pIBLJ8Lu/20dPz3/iZ3/2z/mDP7hBJFInseOSxWIxent76e7upru7G0VRMJvNWK1WLBYLqqoiy/KyKDmfz1MoFJbf7ae10r7Pyy1VYpDfBzdPbvqSW2q9/57Gvv3tb9PV1YXVauXIkSNcvnz5sfb7/ve/jyRJfPazn32i473wzM2T2Hq7pUrVuB/XCoUC/f39ZLPZ5RIQ4XD4udaoeqc2HjWoPW3G4UxG4+///fP8l/9S5ka8XgtdXX7OnCkn5Tt6NMTlyxmcToXNm61YLFZGR3MEg2YWFhQ8XjeGxYFml7g/JaP7YdcWnTN3FPZuMUjPSiTyEtOKxBGTzrX7MnKFhMlQ4M6gjCEk2vxGVbFLzVo8p915wa0BG9ZA9XkFrXpV5BTAxArNTKeQmFpxOdoNhfEV77oiBJN1xMQep4flKo8VFtYLUFE93JAk/qvSxmfyCVDq1auq/9r6DYU7kswPCfIBY4HZihIRIeHgbh2257zsY7OY4XaddSV7iB+JAisT85UsIwL0yrVaMiFJNJqaGGUaScCVjGd5xMnHJVhB9gzLBjsMK56clf+WK7Y3Ikxs0FI8qMg6ntblosJ5ycaXutUkwHbHRjInU9CLQOl2SkaVBJqQuJ2UMcuCvCHR4BPcj0LfnEL+FjR4BXsDOhoSl29IbLMYpNMSihmsDhMm4SP8ME0m48LnU7h+PUp7u435+QwDA1GcToWTJ1sYHl7g/v0MIBEMuunulshk0ly/XnbPOZ0mjh8PEY/nCIcTdHU5eeONh8vre3q86LrBv/23V/lv/20IRYHPf34zn/70JgKBIiicn5+nv7+/JllgyVZqddYzgWBp/+elX6kcj57WXlW31ItiP/jBD/j617/Od77zHY4cOcK3vvUtPvnJTzI0NPTIzPyjo6P8yq/8CqdOnXriY74UzM3jWmnyXo/6LU8KJpLJJBcuXKgp2rkeWplSO8+jonflwPU4g9fERJKvfvUsg4PzbNzoprvbye7dfrZubUDXBdu3W9m928KHPtSGrptpa7OyaZOXhw/tpNNWtm3rQIgWVLWBdN7gwXyCW9MF/E0ZYgmYSstohoTHIrgzJ7MhZGDk4fp9mR0dBukldqbDanBvSCKtFX/rK+bah4rBobigt9dFWjcTsVV/xRkrikW2KTqxFWLYellL/HXYlTZhIl8nHDur1L5uqm4QtdWyJk5D4j9n2+nK17IwM6vcl9ASo5OVZCJGBxUSI6yivlspIil49U1kH3GvC3kXPfnV09bHDDf2Qn2h/JCiIAuJLt3JjFqeXK5LFqy52vfCY9i5NludAK9FqmaqBnWJUMW5jQEnDMhdszM0Y+JGUsaydPLRvMSBgLH8//6m4v+98zIBuyCWk9jXbfBwVsYVB1dGsL/LwPBIDM7KjE3J5B2C2XQKs8XJpk2t2O1uHI4AHo+TwUHYtauN7m4vZ88uMDcn8aEPtfChDzXS0GDm8uU0t25J7NnTyLZtLiQJkkmN8+dnsFgEPp8Fm81Ea2v52ty7F+P27XmCQRtzczlyOcFv/MZ5urv/v3zmM/8/vvOdi7z99lW2bt1aF9isNFmWUVV1ufaV2WxeE6vzNMVx12KlMWmtguJXEdxoyGgo6/z35LDht3/7t/nqV7/KV77yFbZv3853vvMd7HY73/3ud1fdR9d1fvEXf5Hf+I3foLu7+4mP+VIwN4/7EpWS+a1HDoYnATezs7MMDg7S0dFBT09PTe6d9QBbz1JQXKmveRIR4vnzM/ytv3WaubmygPXIkSauX0+SThdZg5YWM6rqZXAwjiTBRz7SQj5vorlZx+cLIssWWls9IFlImGX8DTpeKceVKQd7mma5Fm1ijz/J2bEiGOlsFYxMSqQLEhYvkAS3LNgsG7yRKD/ODypEJ+1WjZYwnBst5ldpshmE9epznJZFFTHRadarKokDqHXExHIdNiMg5Lo5gCfr5MJpF2aG6kQ3eeM6EzL8INvOLyAYMRezGq8mJgZQhWl5ca9s46/rTYyoRcFwfBW3E8BYzofNmCVjrn/fH2QdZJFRzfG6Wp5CxkVDwcF8YKZmXVQyOKH7yeerwWRBltlY8HDTUh0hFV3QGM+Yqz67buUUTDaNwtJ7ZSCxwVCYWWLWOgQwZGNmSXu1qEkc9elcjBYnw0rP1uJSeFjOkDjUrHN2WOFBRkKRBQMRGRagyS0wuWD7ZoPCgmB8OEvQLWFRA6joxOMKPl8Bh6PAhz4UQFE0sln4wAdaECLH6dPF67Brl5sDB8xcuzbHwEAxIWJrq5/Nm61Eo4tcu1Zkc+7dK74b27cH8Hot5PMaDx8m6O+fW+63LEvs2NFIJpPn936vj/HxHB/4QIK//teLjE4wWB+8rrSnDTWvtHcjUmqt4uh0Ov3K1ZV61haPVwcFWCwWLJZal3k+n+fatWv82q/92vIyWZb52Mc+xoULF1Zt/1/+y39JY2Mjf/fv/l3OnDnzxP17zzE3wLoxJe/UjhCCkZERBgYG2LFjB5s3b64BYuvF3Dyr8gsrhcOPO4D80R/d42d/9kdVwObkyTYuXVokndZRVdi1y0VnZ4jOThtHjng5fLiNN9/MMjmpEww2MjOjEo97SKct6A4Zd0CQKygIn52jbQI9EKTdkUc1axQMCUkIItMZxhaLWYTv5yVMkqBrwWCxYrLv8hjMLoEXhyTYEM1wabQcctvprgYkbsVgbAVGsZtq71m8npi4jvup3hUMGiqxOuDII9XPKuswymDk+5k2WuLF/ocMO8YqYH9hhS/8R1IDfqM42DyQVp+MxhYMgklv3XVuoXCjYOFewcxmrf6X70DKTW/ailmv/+wsYud8rjbkebJQPRBKAkbGA2yMx6qWLxgS+1Zc1RFNAQEBIDtg51JExVlBVaVE+RoNxhW6nMVrfzshs8VXvI+3kzJmRTCVkjm00SCek9iz2eBuWMadFJjRuTEJJo+EbPWgOCXiORN2ux2rNcDYmI1CwcG5cxlyORMjIznOnMmwZ08zO3f6uH49zrVrSTo7A5w40czevR4aGkz89Kez3LqV59ChNvbsKfKBQsDw8CLxeIIbN2K0tTnZv78RRSm5lgSyrNPfP8PYWI4dO4Jkszr/+/9+hu7u/8DXvvZj/uN/HCAcrq/rWs1KVc0rWR1FUZbHihKrU8pKXgJAL5OYGF5dt5SO+kz+ANrb2/F4PMt/3/zmN+v2oVTzMRQKVS0PhUKEw/UL8J49e5Y/+IM/4Pd///ef+txfCubmca2E7tcDTLyTOFnXdW7cuMHCwgJHjhzB7a6fr2I9mZv1BjdPExGl6wb/7J9d44c/nKCnx42iSFitChaLjUgkT3u7lVgsx9atAa5ezSPEIo2NVlpaAthsMh/9aIDbt22YzSZMJi8utxmTSyKtQ0GBdBLcAqYWJCK6jD8rs9Dghix8IJTlrYXiANXuTTCec7EvkWVgxorLW+5jq18wCgQUgetBlqi5QGV1A5OVKulLt01jcMV5plfobVQhGF+Rc8YkBBN1xMTJOiCoQZiYrKO3EchQr0q42bG8WEgyfyG28DPzfeREBgK1wkhJwPAKAJOUFPJGB37GGF1FUyMJwUNTkLsFmYNGmuiKc2zR7Igl4DiW9IGvmmlp1y38qFAEYgeSXu54apMRioIJZ8HMwgrX37CAgzkrDyxFgLwhZnAu62WvrfaaxhYy4C+7viaExEEhkxs2cz1WHMaOe3XOx4rX4HpCpstuMJouTsKtTsFSABM+J7AA0ZzE8Q6d8w+UovhcEvTPyXjsgtE0zA0oHNiQJK64uDMk0SgM2j2C6JQZEHR0aOTzGVpamsjl0szOmjh50s3gYJR4XGfv3mbM5jwWi8HYWIrFxTw7d7ppbLQxO5vhypUic9PWFmD7dheTk3Fu3Chev76+Yli5x2Omp8eJzWZw9uwMpdiEgYEiq6OqMh//eCd3787z539+j3/yT37K8eMtfOYzm/jsZ3tobX18tmI1VqeyFhYUv8SfZ+LA9QBTr6qg+Fna+Ph41bxXj7V5GkskEnzpS1/i93//9wkGg0/dznsK3MD6hYM/CiRlMhn6+vpQFIVjx4498qY+6+riT2KlAelphcPxeJ4vf/ltfvSjyeVlzc12HA4H9+8XE/OpKuzZE6KvL8OWLQ6amx0sLpq5cSPDjh0+TCYnLS0qmuampUVhflHG6RSYPILB2wr7P6Bzpl9h/0kDX1yQMcOtmMIRr45hKrMZ7e1WQgsprk476fDGGdPKL1neAu2GQf5OntG0jfZuc1VClMiKc3VbqiddGVGV5t8uYGvWhEmSkfIqhi5jGBI2IWFY8siqRt6UJ6LmWZC0uoBH0UTddBPRVUolTK3w/xiSzGl1Hz+jTlAPDIUMlcE69/Cs7OBv6i1UCXAqrLmgMLI0DLgzDUQd1UU9K91JfXkbf02zcV8tC5WdufLX8MOkA+qAm3zMSUvKzLivNv+OJWeDJXCzMFGciAczKk0Og3AFW3Pf7CZQSBGtqJ/kntL5yUT5mZgvVJ9/m6MIUgBuJGRsiiCjS/QuygRtgkhGYrpQTIb4IC5zaIPOlRGF4xvznL9uZv/2BL233Wz1Ghzaa3BnSObWmIRbE/jdJqamXNhsgmDQIJOROX7ch65n2LbNjdcLFy/OsLhYYPduN263hYcPU5w9G8Vkkjh6tJVYLEU+r+H1qvzoR5MoisTBg80IYdDXN4thCOx2lUgkyehollDITmurnZmZDJOTKaxWhb17G3nttVGgCHR2727AMAS/8ztX+f73byLLEp/5TA+f/exmNm6sjWh7lNVLIFgoFJiensZqtS6Ps6Xx41nl1Vlrjht4lZmbZ5fnxu12r/pRX2nBYBBFUZiZqXZbz8zM0NTUVLP98PAwo6OjfPrTn15eVgLWqqoyNDTExo0b3/G4LwW4eRLh2nqFg68GJhYWFujr66OxsZHt27e/48tcYm6EEGsS4K0nc1Mpun5c4fDYWIL/7X+7xtxcht27fQgBdrsJk8lCoWDgctkRQsNmayAS0ZFlCavVwpUrBlZrnlOnGrhxQ8HhEHi9HnI5hdu3zWw9ZHBvVAYfBBsN+u4o2B2ganD+vsLxD+psTesM3pRp2FueoB2azPmJJRan3cbY8nwrWEgmWRyxEs9babAZjOfLL7dNEQxr1eebXhHyvUExaM6bMMcsTMxauRs10e4TnM9XDxLHXDoXtOpl++xZGjxJbK44I5YUuSXwEkmnwFKti1AFjNdheRyGVFezk0bm5sIWGq33mZWrAZQay8Iqc9dENoRTnSVZxy0WEGXw8nrSyylblBm5jASHctVfu7GUHzxlcDueLg9u93SFU2knD+xldscqJC7PuDAJGasnS3bF69KnSXgLAl9Opy9RjJowkOjRDMIVo5OBxHbZwpklYLctk+XsDQdOS56kVAQ4d1IyPXade+kl9iYpY5UFWUNiUZM4HtA5P6uQNyS2BXXOjCs8SMocaNO5NqGwuMRu9c7KeO0FhlNOnDaQnPD6jxQ+cUQn7Ye5YZmJSYXOdoNIxInPZ2JqyqBQSBOJKHR1Sbz+epQNG3xs3KjT21tkaHbubERVdfr7oyws5PF4bKRSBUwmUJRiiPjVq8WPhFDIxf79Pm7fnmF0tAj+ZmYKzMwUS5Rs2+bC7TZz9245CkvTDPr7Z2lqsuPxWNF1CZtN5Xd/9yrf+Mbb7NgR5Etf2skHP9jJ7t2rR6jUs9LYcefOHfL5PPv27av6WKocT9Y7geB6gJt0Ov1KMjfGMwA3T5qh2Gw2c+DAAd58883lcG7DMHjzzTf52te+VrP91q1buX79etWyf/7P/zmJRILf+Z3feSwRPbwk4OZJ7FkyJePj49y5c4ctW7bQ3t7+2IntoPiCqurTX+71ADeSJKHrOtlsFrPZ/NiDz5Urc/yNv/GTKn3N4cMhBgdTZDJFoWQoZMJs9jI+Xvx9/HgjkmRl82YDu93B1asSBw/aGRhw09kp0ddn4/AHdfrvyGzcLRgak2lpEAwNS3z0mMabgyo2q2A2LbH4UKKj1WAoUXypjgU13rhdfsGicvn/vc48Q/fsZPTiF37AHGOOctHCHq/B4IqXsxTAvkVAYEFBXrTwdrr6i0SqU0pBVqjJsWfWTfxoOgjTQdyKxiFfmLRrlrirNilbu2FmqM440apZmKxdjMuQGMiZ2TqzAUfTfVIVYMXprq21tnx+cTsdepAh72zNumS+zDpqSJhSDeAqHj1gqJxZoYs5l3XwcaeFMSWHS8hcS1efVy7hgQpw05O1cn+p3tOJjIkrK+p7pZHYPi9j06uR2f2UhOQWiIp3bCSvgFXHLcHCHSd5FA46C5yvkJlYsouwdL8XNYljPp0LS8Li2QpQeyslY1EEOV0iqxaX343J9AQXuBfxcXCzztl+iRM7dc5dUDhyUGfwvoyzAKGgQcEhMTFsIpORaGnJsWOHk/PnDXbvtnHuXJSDB5uZmFjgwYMCu3c3k8sV3VKdnVaOHGlE1wtcvlwWDIdCXjZvdnLr1hxOp4rXq/DDHz5cEhoH8XjMDAzMkk5r7N/fyMhIjNu348gydHc7sdtlRkfTNDU5iMcLDA2VGTRZlti5s4mWFhvf+U4f/+v/epoNGzz83M/18JnP9HD0aCvyI1IBQHH8GhwcJJ/Pc+DAgaoK5CvLQqx3AsH3NTcvv33961/ny1/+MgcPHuTw4cN861vfIpVK8ZWvfAWAX/qlX6K1tZVvfvObWK1Wdu7cWbV/qR7jyuWPsvfBzWO0U/pimZ6eXrVo56PaKbWxXv15GhNCYDKZcLlcnD17FrfbTWNjIw0NDY/8ovmzPxvlf/lfzlYVvjx5spVz5+aX/f8bNljx+QJYLAodHXbsdjtvvJFBiCQf+EAjQlhpbITZWRc9PRrT01527dUZGpXZslkwMCKzb6vOW8Mq+zp0rk8WB8J92w3CsxJzcYktu2EoAntdOqohLetA/A7B3aUaU3utOfTJBBml7Kf1BB1UZueT9QTgXf7dYdZoKUjEx0zcChcH7BMtdSp867WD/3yd0CFTxaK4rvJmpI1ApJmt/hS+pggjapkV8QiVenlvbFr917JDV5hF4nbGzgei7WQCD5ejlyJS/X1MusGdpJlbyQBHlWlmXNWTxFCuOoT7jbSbj9ojTCo5GrT6z4WR9oNrmraCk8srhL5Xcyp782ZmzcXzTMfKE0okbgZHrcsubfLRN1o98UwXZPaj01sBRCd1mX3I2CJwfrG4PJxdCVS92NDJLO03ncoBRQB2PyWz26czuKAQzUscb9I5P6lwMyazJZBjKGrBcNkhAlemZZr9BpfGZLrbDIZjMoU8dLUb9J1XOLZPx75FEH6g0tfnpKMjTnu7hWw2zcmTbkymLFu2uNm920E0mmB21qCz08noaJyJiaKvbNOmIIGAwpUrs8zMZMlkNPbubSCfLzA3FwOKQuNbt4r/+3xmPvCBViYmksRixetrGDAyUnzA9+xxk81mCQQgHpfJZo2lbQRut4k33xxF1wVbtwYIBu389/9+l//z/7zGhz/cSVubm09/uocPf7gDi6X6WdJ1nYGBATRNY//+/VXABqq1OpW1rkqg53Gqmj/K1qq5EUK8suBGQ0F+AWpLffGLX2Rubo5vfOMbhMNh9u7dy2uvvbYsMh4bG1t3l+ZLAW6e1C21HpqbEpjI5XIMDAyQz+c5duzYE1eWrWRu1mJrYW5KX1WyLHPo0CHy+Txzc3PMzc0xPDyM1WpdBjoej2f5ev/O79zge98bYds2L6oqIUngdjuYny+wdauTWCxDU5ODoSGZBw+KjM3Jk638+McZduyw0drq4exZMJk0Dh3yc+VKjoMHfYyNSQQ6BVoKojq0uwQJi8S2Zh2HXTAbVjCrgnwaRmZkkAQjGYntDp27N2U27iu7p3raDC7pCvtNafqvWdmx3QkVX/JzK6KRCvYiEyELwbbkIu6YzIUVkTyRFaDFLAlGVug5VEkwotU+l4t1AE+nCc7NumHWzYebF0iEIszJehUrUWkZo/7g4dDK5/J23MdnLRmGXLOYhcR9qf7A0C3MhJeExjPhJiTn7PJxGzSZy3r1EGAgoaUawD1BOl8f3Pw07eSUw0QqUztZGEh44n5mg2FsQuLyTHmboZzCrpzCkKX6XfCkVDZATei9nANWpM/x5GRO3yif60hKZodf5+aSKyplyBz3apyPFdeP6nY61SQPlyK9hJHDLlvZZRdYFgU9EYPIvEAoSYIJBUuDyqeaNWJCwmoSTM+ruNsMRiZkju/ROX9G4cAundFJmYUxiX17NJxOmTu33WzfLjM6KvD5MkxPS2zdKvHWW3F6eqz4fIJLlxYxmSROnGhiaGiB+/dT3L8PmzcH2LDBzMDADG+/XdY8bdrUQGOjmb6+GZqbbagqvPZaMdlfW5uTDRvcjIzEmZpKcuJEE2fPliu0Wywy27c70TQNh0Pl/Pnyujt3okAUq1XhxIk2cjmd8+cn+MM/HMTpNPHxj2/gr//1LXz4w1243aZlYLNv374aYLPSSuPdeiYQXC/Nzfuh4O+ufe1rX6vrhgI4ffr0I/f9wz/8wyc+3ksBbp7E1pO5Abh48SJut5v9+/c/lVtpvSK4nqaNknB4ZfFLi8VCW1sbbW1taJpGNBplbm6O/v5+APz+IN/+9hz/9/9dzvFrtSrs3BnijTfKro39+/0MDupomoHDIXPyZCuplERLiwmfz8WPf2xw6JCZTMbNm29qfPSjHt56y8QHP65ztU9h12Gd+biMbhYspiSioxLGfoGE4GSbzk9Gi9d7x0aDrJCYvC9jMcOt+TIokOxwIJngWp8TkwzDubIbxW8VPMhWbItgXLGyT9JZvA83Z73sDVXnajBLBiO5atDRbTe4I6oH126L4K6oHpQlakEQgKNi0U+nfThm3Xyke5b5OiwG1IqJS5ZZoe/587kWPmfJkFfzTKwClOwVzMawaOQz6Rw3HcVzti7Uz8D904ybTzms3MiuwtwgYU/7uZysLya8krHQrMtsylu4twKoWWMKhMrPsQQ8GLHQolATQ9+XlAlZDWaWVsgIwkMSDWaYUgUcnwABAABJREFUq+i6a8Wpz+WrG2rx2ngYAZesoy4U8N3TuJQo9n27O8VC3MECAXpcBrfuyujNBkO3ZWRZcGqLhkDi0HaNC7cVdm7XGZ2SEQnYstfg7BmVbdsKHDwoGB+3sGmTzNWrgv37zVy4EOPo0SZu3ZojkYDjx5u5cyfCuXOL2O0qH/+4j3w+w9WrEe7e1QgEzBw44GVoKE4yaXD/fpLRUYmTJ1vRNI2pqcXlc5qYSDIxkcTvt3LqVHG9220mHi9emFzOYHg4ze7dDdy4EWHnTj+FQp4HD9Lk8wZut4n2dg9vv10GPS0tTrq7vczOpvkn/+QNYrEcu3d7OHbMzy//8gffEdjUs9WqmpfGpsdhddYL3LyKmhsdBbHO0/z7VcHfJVsvcBONFoV6TU1NdfPXPGmf1sMt9bQVvWH1iChVVQmFQoRCIQzDYHo6yq/8ymVOn57HagVNA4fDRFdXgJGRFM3NJsxmg66uIIZh5eBBQSRSoLHRy+uvFymTEyeC6LqZ7u4CQrhIJAQf/7idH/3IxqkPFnj7nIrDBXPzMnfuy3z45zWuD8q0dRncCMscbzDIm8t9bW4U9N+WWUxLHNurcyFZfLkkSaBHE1y76wVga5vO9QoAsLHB4EoFKNlhNzDPQO9IeVnK4oR0+Xo0qykeiuovvICZ6vLTQNBscLdQPQh3KAYP9doXP7PitqV0hdfuNbHHmaF5Y4TpCj2Py5AZp76NFWq/cN+c6uTnWqZWfZNn5qoB1JlwM90bksRkA6utsYrlqrT4QhPj+uqT2YOUGymv1tUqJoVEV9xPOlv7vPWnTXgLWRZNxXPZrUlcWVSZkQX+gGC+Ij+NviQsnlk6t2OawblphVMhvQrc9C3I+OyChSUm7V5aZodT5+bSc9KbkDnp0Ll1VaYv7uFEp8ZkkWgkrVdExTmygJ2haZmD23Wu3lJI5iT6ziq0NRocbTEwueDufdi12+DCTxVOHNe5M2AiYivQ0CATDmc4dcpCKpXlk5/0MTQUp6sriNWaIZXKs3t3EItFY2Bglh//OIzHY2L//kZ6e2eJRvNEo3lsNjMnTvjQ9QKzs2lOn55a7uOOHS243TJ9fWE2bvQQjWZ4++2iRspiUTh0qA0wmJiI4fPZuHKlGKFy40YR0NrtZvbudaPr+aqSEABTU0mCQTsjIzFUVWLbNheZjMZ3vzvKt789zOc/v4WeHj9/7a9tYt++0BOPiU+bQHCtmptX2S31KttLkcTvSV6i9dCm3L9/n5s3bwLQ2dm55jTj6xnG/ThWKe4r7fs45xCN5vlbf+sy//2/R4jHDbJZ8Pst2O0WBgYWmZ/PMz1doKkpyFtvZThzZoHLlxcJBn2cP59m61YLn/xkA7dvw4ULaVpbPVgsxUiQa9ecnDiRIRxVCPoFe/Yb3Lkvs327zo3rCpEFCXsLnAwZXByQuRdbyk/iNrh9TyaSKPZfWwo4khAcUqJcWQI2AN4V0ULmpW0tkuCUrONbAWycJsFwuvq6tAdq3Y6xVKL2YtURYDoy8drtgPE6oKRbMbgatnP/Siu702XfS0uhfibhgCERNmrbiRsq0elGbKvUZp0U/qrfC7pKIFaMlBnOrZ7Vdj5coDuVXnV9MKOweXH1Z+p+ys61mdrJpCApbMuUjyvPFAFUzpDYXiea615SRhECpyS4c714/sNxqSozdM6Q2GGv3te1BIhMkuBgwUAahfl4sb8D0wqOpSSNoykP21qKAOf6jI0md1EMPZMpIEmCvhGFvTt0JmZlVAPe/p8Kp7YYWGU49SGtWEW81UCSVUZHFbxeL2+9pSOEmZ/8JIHVaiISSXL5chqn08zVqwu8/noMp9PD7t1+FhcLnDmzgKpa2LXLgd2u0NxsJZcrcPlyFL/fxu7dZY3fzZsLXLoU5ejRNnw+G253manM5XSuXJlhcTGPw2HG67Wwe3cDla9+S4uDhw9TXLsWQ1EUdu8OsHOnG5tNYssWB3fuREgm88RiOa5fX+T27QSSJPGJT2xgejrJ7/9+P6dO/V/09HyHf/SPfsSbbz4gm306GcBqCQQlSapKIFgoFJaXPY1lMhkMw3gl3VIvUuHM523vSebmaTU3mqZx/fp14vE4R48e5cKFC888Z856t/E0ifkARkbifPazbzA8XJ7Iu7vdpFIK09PlKKk9e7xculSMu25qktmxo5F0WhAKyTidVt58s5id+KMf9TAwIEgmCxw40IAQOWSzgqoIGvxwtk+mp8PA5oa5KYmWFgNLFs5cVThwQOdaXKHVZbDBKTg7W3yZbBbBzYViIcSexUUKvmpmISqqzzVsSOywGqTuwZkZhSPbq6/fRp/BwAq3Sb4O3F+0OGpSy4QLBitpC1sd2r5BNpip02ipbmc8r/D61WY+sWWe242LWFdhS9o0U93wcIAbMxY2KW5utFSDq6a84KZRm4PpxxEfn3HG+R/a6syMXfGjLRjgqI+a5qIqYwsKXq9GrA7Qa9AkGgtwqc44OBQ3obhy+CS49rAM5kbjEpKjOkJqRpM4hI41DWdSxcamMjIHGovPyPK+iWIG69K+vYsy7VaDQFhw7rZCo8NAVQSaLpHMS+zyxLgeLYIGx5JfyxASHR1WwjdhfMHKto55bj/0E83nkWUrV+7KtLUYnL4ss8lvMDmh8MFDOvGMRGQWGkMqd+7Arl0B+vqibN0aZGxsAXBx4ICNc+ditLR42LTJoL8/BsDBgy2Mj88xM1PAMBzs3u3EZBL09s5gGIKrV4vsSk+Pn2DQzNxcCrMZTp8uPw09PQFCIRs3bsyydauPgYEwmYzG/fvFY4RCdnp6fEgS9PdPk0gUaa9MRmNwsNj+iROtJBJZtm0zMzy8SDJZqvwNO3YE+dGPijGFxTIQQXw+K729Yf7yL++TTOb5yEc6+dSnNvEzP9NNKPTk7p/VWJ1MJsP8/DxNTU1omvZUouR0ugjSX0W31Kts7zlwo6oquVzunTdcYel0mr6+PkwmE8eOHVv+ilivIpzPwy1V6c9+EmDT1zfHb/5mP6GQhWDQjK4LzGYzYCKbLRAI6JjNKg0NQRIJg+3b80xOZmhocPPmm8WBY/NmC1NTMkePKui6ibfeUlAUg1OnvJw+rdPRKWEYMiN3ZHacNNhmN1BluHanOJht32TwxpXi4yh7oA0DYwaMinQcO3sMbuQluiJxbs952dpkLLtV3FbBUKJ8vgGLoDktONcnI5ZATylbbcncdqA64S7jKzQzbkUwaVS/JhZ0RnWlprxTxmKvcV91qqLKhVIysQKn/mjIz6G4hUyovg7GrNX/WgpKgsmszOSIi497cvQ6ys9+i2HlZp19BDLzU63ItkK93MhIwPC8mfmczIGWFH0r5hBXocBQ1IaBxPGYwXl/bd+kBYl4TCrWR1hhM5rMsYwJi2EwVcFGTWRlDnh0rq1w7YkM9N6o7oSx4ptjIiOzP6jTu+SKUiXYHtN5/XYRwM2mZI626Vx8uBQWrnuXwc61KZmNIYPhGZmr4wrdIYORGZmE4sWkCsbnbezassD12z7sDQn0KTd5syCfh+ERmekRiY3dBj5/gfY2mdOniwBgaChCY6MXIRJcu2Zw8mSIS5dmmZoSHDsW4vbtecLhJE1NZrZt89LXF2FxsXj/vV47p065GRiYJR7P8+BBgqamIMmkxqZNbpqbc0xPFx/+e/cWGR2Nc/RoI7mcxrZtQQYGZtH14t2dmUmzcaOPy5enaWqys2dPMzMzCe7dK4aLnzrVxpkzZbAky7BzZwCrVULTNK5cKafINwzBzZsRNm3ysbCQxeEw0dMTYnR0ka997TVA4otf3MbmzX4+9amN7Nr1ZPl0yn2QKRQK3LhxA4/HQ1dX1yNFyaX/61kymUSWZWy2x6u/9V6youbm3Y+WejfspQA3z9otFY1G6e/vp7m5ma1bt1Z9RTyvOlWP08ajwE1lRMKTAJs33pjgF3/xJySTZW3G3r0hbt1Kkk6XqvFK7N8f4Mc/jiz1ReLQoTYuXUrj8chs22YjkVAIhzNomkQm08TOnQW8XgdvvKFitxu0tJg5+5bKvqM6JhluXpfZ+SEDaU5waovBlSWQEwwIokkJLQzzCYnUbEURUnOW4KjO/ZiXoEcwVCEs3tJmcGUJAGxzGTSnDX7SW36827wGEysyyK10NjVaDKZXuJC67Qb9K9idTTa4ucKjKwuD4ZyoATz1a2XDXL72/lyZdrB30URLT5qpFZmL44X6r2qXJIgs/X9mwEfX7jHmnEU2RMuuXixTJBWOKjrnzbXP1Ebgbq54folpC1Jrrqo86FahcGnp/AdnJKxujWyF2N6K4MaEQqog02WOM+qqFR7H42YSkVpWyMhSVSoDwBqDBkWQqri4/fMyHV6DsYp7KpYAjyoJtswb9I6pmGRBYUmgPb2YB4oT3ExS4Vi7zoVRBSEkgn6D4ZkiexNsMBiZgYl5mRO7dc71KkxmvLidBncn3ezcFufGbTe7ds9z/Yqfg/uzXD1r5ehRwZm3Cxw+rJPJLHLkiIIQxZCvDRskstk8H/6wH8PIsLCQwW7X8XgMBgZyQA6Px8LJkwEuX54hFitw5kwUp9PCJz8ZIhyOc+ZMMZIqHM4sZzPWdZ1IJInDoXLmTDk7UjDoZOtWLzMzCUIhO2fPFteVhMgAXV1+tm/3VyUChGJ4+ehonO5uH4ODMbZs8ePxqExMJJiaytDRYWVmJkEioRGNZhgbKzKGXq+FY8daGRlZ4C//8h6/8RtnaW9386lPdfPpT/dw4kRbTZj5alYqtuhyudi5c2fVeLayLMQ7iZJLYuLnVcX8fXsx7KXQ3DyJPYlbSgjB2NgYvb29bN68uSbj8ItWOqEyE2jJSmzN0zA2P/jBMF/4wo+rgM3hw83cupVdBjYmk8TevSGuXClGajQ1WfnEJ9oxmSS2bzfj9Srcu2fi5k2Bw6GydWsTDQ05pqY0Ll2ysWFDgr1785w9oyIpRdHopbMKnZsE10dkDnUY6BZYXMpVs3uHTnxMIjwvs3unweJSSeeQNc+DWzAeK06UPRuM5Vw3ACZncVI7ZdcZOieRWxGm3R6onkhlSXA/U/34d7pqJ1tXHXzgq+PN6TYZ5OoUp1zM1953O4IHudp71KQY9M+aSfQ76a6MmBIwrNV/Va2Fcp+zhoI+2oRladFEavWyINOLEjfuWvDXWReqcKPdjakcXJHjR0qVL0pSMrM7tsLdl0qTWgKJAb3+17KsSdhTdQTHizKdcvkZb1QMrgzKtCrV90Yg0WGpXtYfk+m0GBwuGPTdVphLSRxoLbf1MGFjV1N5bJhJF+tJAVydlOkMFre9MiazqWWp0OasjNshmE9I7N5d3DacceF2C24+9NGzJc3VASvb90S5eFHl8GGNy5cVnE43p0/nmJ6WuX49xblzOUwmiR/9KMr581ny+TxTUwY3b8rs2dNIV5edxUWNs2djBAJujh0LsW2bk02bzLz++jh37iQ4fryFrq6ibqSUzdhiUbBaTQSD9qrK4JFIhsHBKE6nmenpFCdPttLUVHbLWCwyDQ12/uqvRrl/P0FTk4O9e/309Pjw+220troYHCxGRg4NzXP58ixTUxlOnWqnvd1HKGRj5TCzbZufH/5whEuXpslmdfbubaSjw8358xP8vb/3Gu3tv8cXv/hn/OEfDhIOr6BMK6wEbJxOJzt27KhbjNhkMmGxWDCbzZhMpqqiyZXFPg3DWBYTv4rgRjeUZ/L3MthLwdxAEZULsYpqssIet/yCYRjcunWL2dlZDh48iM9Xm7t+PcHNerilgKpidZVuKFidlq1n3/72Db73vfvs3x9cymEj4XBYSacFO3dqFAoFXC4nVquLWExj0yYHU1NZurv9vPZaDIBAwIzd7iOf1zhxwkY+7+Ttt/OoqsSuXc3YbAUePFDo7XXjdObZvjvGmz8p0tTBDQaWWZnL12Q6jxT7v6tdZ2RMJrIkVJVdwAJ0OTI482luZMo+Dm3FvJ0R0BMzONNXvE4TmRUDmYWqyKCNXsG9FVWsLWZqMg7XCyaKZdKgVosTG1W4XwdTP8hT8wnRrRjcqEPttquCMDCbUsldc7F1f5I7ikGnrnBH1B+YF1dofu/FbHxszslwQ4r7mfqaGo8kGFksJkI8EVO44K1+xtPx6r7NTppROnLoS6cyNFPd7oNFOxa/Rm5JeyMi5fb6YiotzjxTajVKdMQEIk8N0yWQaDcMHi793pwWnNVkBmZknC5BsgL0Dc7L2E2C9NIygcR2ofPDK+VhbT5DlZkqsiyOzMscbNO5Oq6gGxItDQYPIyCEhMdrwBTMJyVObtM5e1Xhwj2ZTV0G90dlju3SuXBOIaVYcbsFw5N+NmzMcvmyi61bZ7lwwcX+/XZ6e9N0dLiw2VKcPVvg6NFGrl2b5fp1EwcPuhkZWWBgIInZLHHyZBN9fXM0NZnJZPJks8Xke1AM7T5/fhZJggMHQgiho6oGFy8W2Zx79xYxmWQOH26hUNBYXMygaRp9fcVoqeHhGJIEu3Y14PVayGSq3U3hcI5wOEdzs4POTjcOhwlJkpZy4hRt795Grl2bJp0uPujBoI1Nm7wkkzlMJoMLF8o5egqFYimItjYXhiGwWlX27WtidDTGP/yHryMEfPGL29m40cunPrWRffuKNYZKwMbhcLBz5853HNPqhZqXGOwSqzMxMbEu4/jLaLqmYKzi0v7/s/fn0ZGk13kn/IuI3BOZQGLfClsBKBQKawEorNVsriIpUeSQI1LSWB5Zmk+escRjyZbHki3rjGXL0siWbcnjoY8/8Rua50gjm8cSJVJNdrPZXdXY1wJQ2Pd9TSyZyD0zIr4/AkAiMrOoXooim+x7Tp1uREa88UbEG/E+773Pfe7bNfU5t/fdsncNuHmz9mYASTgcZnJyElmW6ezsfGYs9vstLAVxpeNU+jVv1n7zN0f5/d/X18Hu6SnmlVfiVYctFomaGgsDAyc39imkr09bcaWnS9y/n4PHo+B2xxAEG6OjMpKk8oEPZDI+HuHkBJqb08nOVvH7VZbXNXByq9TLylMDR24bDS0hpg8stFXIyFHYONSu02FXmd4TqbF72Viy09RmgEvZHaNBZe40/tF7mB1jYljCf5l6nJ+usOnVfxS3E9KS8xwqywnAIJXi8HqKTKcDIRk0qImzNHBLUtgWk10/Bp9eJfnKbjoiPGGJpTEH91ovsMoGFpL2BgMqSykyll5dSueTRlh/hmO2UlAYvwRXg6sm7rQEWbxuExZP9Z+F9QsDXbEIQwaVO8BsWN/ucVSgOwD9aWBQFTbP4sBPQSD7JMheXvw+2AWFqRWRmAJ5BQqHCSBz8kzE4VIxSTB2ybXxRQV60mT6bgAvb1SgO1Om/1KtuMamMDQk4TSreC89Y0tuiUqnjxWvlrn1ZE+kIkth7URr13/DKzWyK1KSpbB1IjK+LdFyWyYcFFBi8EJ1DFkRSDOqpBs1Xaa2xhjjTyXaWhSGX5eISCZcmSprazncvetnYsLBvXshZmcVXC4T5eUKQ0MxSkudxGJhxsaCZGWl0dYmcHbmRxBkSkttmEwwPKxVBV9f18T8XC6R0VHt/TQYYGXlgqwsCx0dBYyPHxKNKkSjCiMjR7S35wAipaUZyLLC7q72zqoqeL1hPJ4Q+/t+7t/PJRwOsLoaIBRSqKhwEgiErwERQEFBGrdvZ2A0igwN7RIMxr9jbneQk5MgHR1FTE0d0tqaDyisrJxxfh4lJ8dEMBjm5ETjEa2tnQPgclno6Chiff2cb3xjhYwMC83N+USjUSYmJrDZbG8K2CRaKlLy8fEx/+Jf/AvS09PfUlvv2bvffujAjdfrZWJigoyMDOrr67+jfsL3k+fmptLx282IUhSVz3++jy99aUm3XSMUxkGM1SpRXZ3H5KQWSzcaBV54IR+fD3p6HJydRbFYnHzrWxpr5cEDFyMjCl1dEpJk5NVXRRQFOjrMGAwKAwPQ9T6JtSGJ1kYZwW5ndEq77wFDhHvZPsaHsmh6IQRuDWjW1sYI+nzMzGWAAMs3wMy92wqTYQmHQaVWUVADwjWwASgvVDk4i19fgVNhJ4FMnFADE7OoshIWKDQq5AkqNgWsMZWgT0BVQJEV/AEfZiOY8h2UiDKHCOxeEmIPU6gVF0pqSs0aVTSlqrqAJ4FL7I+KzI066K5JHWYtCAfYJrV2h3fNTlaGmpRBBmC9wbdXEBG3TQi3IqhANTCTAtBtbJswlYfJCqR+X9aOJCRbjNvBIIsx/USyFHaSpSqcXKool56fMxfTAmJl0RCHon5x4ZMFekQZwtAXjZ9v60zQqpvfGO+7PgFUFbsBAotwFhDoKZfp24of50yzwmUimYpAnkNh7XK4zx+JNBXLTO5IKCrczVe4hcrGskDYLzBzmX7+oE5mZOiytlmdzHifSGE+ZJzDwbzAR1+IcREQcFTLuA8gFrNQWxtibS2T9vYIw8NegkEzVVXnXFxAYaGJmhoDPl+IjQ0/ZWVmZmfPOD3VBsG9e7nIcoSFhXNWVjRw0tlZiNOp8sorO6iqysmJ9iCzs+3cvZvO2toZZWV2+vs1XZy1NQ+CAA0NBdhsGkF3ZcWDx6MdNzGhhZ2sVgMf+cgtgsEoY2P6jLv9fR+lpU4GB3cvQUgmoZDMzMwRsqzS1lbA4KDG5xkb0zxBoijQ01OMwQCrq2fX4ObK7tzJ4BvfWAXg3/ybD/C//W8tRKNRxsfHsVqt1NfXPxcpfo/Hw6c//Wnq6ur4yle+8sMZlooZEJ5RzuXtmvqc2/tu2bujl7y1sNSzODf7+/vMzMxQUVFBRUXFXzvYv584N1ckuVgs9raATTgs87M/+zqvvrpLSUkaaWlGrFaJ7Ow0zs4i3LtnwmQyYrfbMRjMXFzI1NbaODuLUFWVybe/HVdH7e4upL9fSw+vrrZgtZpITw8zNxfFbHahKNDSorK7a2R7W6CwSOXJtERPm8zhscDKqtbnymqFXIudgREnDmeMmV1tdS8KCiH3GdPrWgiroUZm+iI+WdldUOuT8a4LDJ9ItNzX31s1wVlSmqOynxBf2ghrWil3rCrZURVzQGV0Q2IvIHIlmdZZLDPovjqvBLhoyZUZWIn3xWVXqSlRMGRDxKSwc8ML8axE6+MUNGNBUVgOJI/vQExkd1riXq2SRGLOlpVnCv4dnwuURRVOspPByLFH//fskZGu/ChDRpXMxLLdl7YXMPAwGuXoNDW42Y+INLqD2M3JOkEhRaAtotB7GUoUgnHwM+s2YM6OERb1n6IDn8Dxkn5sb12I3L8lM3FjLGz4RZpzZaxeGDjUtq+6BQQU1Mv79WRPpNylsH6m/T26K1LgUNi/uPSGItBRIHMwJ/CtKYnSDJXdXZFdoLVBZmxaYmRGor5W5umcxMK2SKZLZe9ApKtNZuB1ieM9gbxclfV1Iz09Yfr6/OTmQlaWl5GRKPX1fmZmZNbWRJqbZcbGfAiCSn19DLc7wuFhhMxMC+3tToaH3czOXiAI0NFRwPm5j6wskaGhfWRZpawsnYICC6OjR8RiCm53iO1tCYfDRDQKDQ05TE9rRTlVFaan3XR357Ow4KG2NgufL8LMjPvaS1tXl80bb+wQCsnYbAba2wtQFJmnT49obc2nv38HVYWTkyADAxqQycgw09ZWiNcb1ikjA5SWOllcPOX4WHON3rrlpKTEwdlZAIsFhoY0EPQrv1LDJz9ZgN/v5+nTp1gslucKbD71qU9RUFDAf/tv/+0y+/M9+2Gydw24ebOWCkioqsry8jJbW1s0NjaSm/vm0hO/n8JSV2ThUCiExWJ5S8Dm4iLCZz/76nXdmq0tbSXY3X2Ll1+Ou6CtVpmqqjSmp93X27q7C3jjjTj5r6cnn42NGN3dFsJhmaMjC48fax+xtrZCzs8VCgvDlxXCtf7V1Ansban0vSHR9kEZ9VgkN1OhME/ljRFtQmpsE+hblUi3yBRxxtONnOtzGmwBuNBCHQIqFr/K0hOJmCxgMqrMH+s/hmsX+vsi3ODbSIJKq1NB8kNsSWD+MnzVc0fGkyDol4IfjDXhG3nmF/AfwfSytvOdIpnsEnhqEDlNUWwzW1DZSyXqZ1JZDSS/jjYUFs9E7GNQ3aboSj4YxdS6HSZBZflEJHws0O2S6b/hnXQI6rVA4k1bXrGQdjfImefZn4TdHROHF88ec+cBB3vHqRcg08ci9mKVTElldifeH59ipNMYYTDh9Uj3BnAajUyE9OQqOUSSpcfg0Vi8zf0LkfqcC56eamNGRSDfobB+6c2LKQIVOQr7F1CdqRBeVyEEG5vafcnOUVi/TDxyBwQkSUWWBYIIiJLKmUego1Fm6LHEwKhEa7vM2LCEIKpYrSp9fWa6uxX6+4MUFTnIyHDz9Kmdjg6J0dFzxsYkurtzGBo6ZnraSHm5Cb//gqOjGMPDMe7dc+HxhJBlGYNBZn8/RHa2E6fTxNlZmI0NHxsbPgoK7FRU2BEEhYmJw2suDEBZmYviYhsLCyfcuZNOf78GgwcHNeielWXi7t0czGaR11/fQVG05xYIxBge1r4T73tfEcFglLa2QmZmjq7bN5slKipcfOtbmvaN0SjS1JSL3W7C74+wvX3ByUmc7LS97WV728vDh7eYmjqkvb2QT3+6go99LJetrS0uLi4wGAxkZ2fj8/lwOBzvyMtycXHBZz7zGTIyMvizP/szzOZnE+t/0E2OiQjPnXPz7shDenf08i1YIiCJxWJMTExwcHBAR0fHmwY2qdp6Xn16q3YVhnK5XExMTDA2Nsbm5iZ+/zO082+Y2x3kZ3/2dYaH4yBGFAU6O4vp74+DGItForo6m+npuFu6vT2P+fkw9+7Z6O528NGP5rCxEWRn54L+/jMUxcHWlnZdL7zgBCKsrPiQZSODgyZEUeH9748y8NjAwrxI5R2FsWmRxmoZpwDD0/Hht+sXqMgMIx1ESMu1o1yGUwRBZd2reToyjEFa7V6+PWogdgkcaisUAje0aSryFI4SQlBbQYESm0KPWSZzWUXcgYEx6VqxFjRCcqLt+ZKfmTeFDE36jW/n4q5E/6CEMAJZpwpFkj4cWSqlDk/mPeP7UxjzI6sC3pDA4YhCXij+zHd8qSeAKpNK+JI/9GRGpORG9lGVoKCk4AcdB0SaPRILJ8/+EObKcD/2bO+pA7idulwWnphAc1ShLJx8/PaZQac4bBRU1pdNnJ4k61VNHUtU3lAjtkkqy5MCt136+xpBD/zGd0Xy0uL7TOyKfCA/xtobAouLEuoNIcKxJZE75ZcKxvsiHS3acStbIp3t2v8PTUk0t2j7rO+LZOeorK2JNDZpvw8PW2hoMLC7K2C3p5OZKTE0JNPU5MJiEejvD3PvXjaZmQbW11X8ficPHrgQBJVwOEhaWpi8PJmRkWM8nih9fSfEYiYePizG4dB8gqIIPl+Up0/PuX8/n7y8uNdsY+OCxUUPxcUOZFmgoUH/3dPCXwLf/vY25eXpPHxYTFHRVYhTpaengMePNxkZ2WNkZA9Vhba2Ajo7C2hszGViIk5GviIPHx352drykpVl5eHDYqqq4kkaWuh7G683wk/8xF1+6Zc6KS0tRRRFMjMzqaqqwu/3Mz4+zhtvvMHs7CyHh4dvWUTV7/fzEz/xE5hMJr761a9isTxLjOE9+0G3d43n5s0i+St+i6IoBINBnjx5gtlsprOz8y0Xfvt+4NzcJA43NjYmVfS2Wq3k5OSQm5uL0+nU3aedHR+f+MTXWVo6B8DlMpOdbaGoyMXR0QW1tRJpaWmYzQZMJguBgExbm5NwWCY72874eACPJ8bpaZB799IZG/MTvpycHj4sYHQ0Snu7AaNRYGwMAoEIZjOcn6dTVxchHA5weJhJ6JIPk3VLJb9IZeCxSPfHFFamNBBS1yBjVALMTNuIxiROovF7VXdH4anPSGuOzPK0GeWu/mNnNIeB+Ee9MEdl7RKzCai05ShET+HJrMjWpdejsjDhmQoqKwkE5DSDzJZfP17EFPtBcu0ogAKzQu8TA5Kg0tUgs5ohcigLzyyTkCjqd92O1cal0CyesBHDTAxXYxhJEtl7ho6N60b4NhAVSNtWkIpUZARsqTUCAbjYM1JkhI1n7KP6YGpHJKNM5TwFlycjrLJzJCC41JQVz1fcAuYUeHwnINKeIzMc1oBVq1lh0G/iFBPVGRGWAvrrdIa1GlAA9yWFviOJtpIIq8T3WzwWaSiUmb4MVUVkgaoshUMfWAwqDZJCZFcgdsmVerou0lglM7Ws6d5YbmCj+W0RZ5qK1ycwvSqSk61w7BY5uBBwOFROTgXuN8i43SJDQxI9PTJ9fRIrK1Zu3fKwvW2istKEqp4zPh6jri6D7W0P09MRCgud3L0bQpJimEwqnZ0ZLC2d4nZrgyovz47TGWF5OcLFRYze3hOysmx87GNORkf3mJrSeG99fYcYjSIdHYWcn4cwGlUODnxMTh5fX0duro2iIiunp1Fyc2309WnCfaur56yungNaiKqkxMHYWLyeFWhqxktLpxQVOVhePqW5OQ+r1XDZ1yA1NVns7/vweMKcnoZYWtIEAgsL02hqymNv7wKTSeR3f/f9/N2/e/960WkwGGhsbESSJIqLi1EUhfPzc9xuN6urqzx9+hSXy0V2djbZ2dnYbLZnzgXBYJDPfe5zKIrCX/3VX72nSIyWLfX8PTfvZUt9T+yqcvfR0RGzs7MUFRVRXV39tuK4kiS9LbXjRHu7YalUxOFnVfSemJhAFMVroON2i3zyky9dC3aBtsqrqMjm0aO4F8dsjnL3bi6Tk/FtdXWZDA76CV7O2rdu2djflwiHY9jtAq2tLiIRFaNRy/iori4gEND2ffjQicfjY3Q0Rnu7jeFL/f17dTHOtkWWlkQsVpWZDe15pFlVrKqX0RFtlVdVo7C8H39WrhzoEmUGBrR2vAkr8u0E74VPVTCIIm2ZCoerAgYVRnb0L+OmV3/M7WyV1YQMoHzzBStyhm5bZbrKki95HK1fpCivcOnNkVWBgSkJq0nlYbPMxTMw7kGKIpMA/oThdxKyUrYSIbM0iJvU4CaQkAU2ty/RkyvTZ5Rwe1IeAoAtAqpXZSMFR1lCZXFPxBsVeHARZCQtOcNwbUtgzyvSnisznOIDmCOBI6Jep3nftPNz4Upfj+P1+L1IF5PbmT61kJEexCqqDA5pK/Mn2way06O4Q3FAmvhUJvZEip0KGScqw7MSNrNKplO99uBFb4QRp1Ylmu/KPJnXPHw99TJ9QxIXfoHaOoVjN+wfiXS1apybiWmJnhdl+l6XGB4RKS/3sr7uxOHIpKDAy8qKQlVVBoJwjtsd4/79NATBz/l5kM3NIHfumOjr0wBBRoaZ9nYHw8NuDg9lDg8l6uqyOD/3YTZHCQT8fOMbHtLTDXR35/P06Qleb5RoVGF4+JienhxOToLcvu3C44kQudRaOjqKAgYyMw1EowodHQVMTR1dZ0ClpRkxGEReemkdQYC6unwyMoyX6eAqGRkW5ua0lcNVRpUoCnzgAyXIMvj9kWuy8pVVVLh46aVVBAH+4A8+zM//fNNlivoTJEm6BjbXz+zSk5OZmUl1dTWBQAC3243b7WZlZQWz2Ux2djY5OTm4XK7r73ooFOKnf/qnCQQCvPzyyz+UdaTeM70J6pth6X4f2BWR9q8zRVF45ZVXEEWRe/fuUVRU9LbPuba2xsXFBY2NjW+7DYCtrS2Oj49paWl508e8VcVhRVE4Ozvj+PiYwcFNvvjFQ46PFU5OIgSDCmazRE1NLlNT59fHmEwidXV5TEzEt1VVpXN4KOH1xpAkKC21UlaWSSSicHYWxe9XOTuz4fFcgZlcensFbt+G8nKBx48tRKNgNkNWVg4nJ/DgQYRQ2MDopf5I90dk+uckakpihI5D7EZtRC/juD0/ItO3eFmSIV8mGBZY39N+K8xX2DPGp6ySfIWtG1OYQZC5W3jG/mYa7jNt0mtvkBm+kTlT6FLYU/XTXne1TP+xfhLtuhVl4Fjvuekpkuk71O93K01hOwUJtz1TZvhIv6+Iyu10Fdsdlakb6VpOUeXCmyKdXFVxnst45eQ1yI8UxXjNJBFN8KCIqNgPFC4SwIVRUrnTojC3JKYMSwFUehRWjkVaW2TGwvrj75kVZi89bSZBJr1C5ViI96varLA0rv1e5lTYdAlJ3psuVWZnQ2DHIaTsQ2OJDBJM9d6Y7ASVonyV7QTBxe6iKOe7MrMr8bDD/QIvE2d6NeTqXIWly7Rvh0ml0yjzSn+83z33ZPqm4+drrZQZu1TLrixUWF0XUBUBg6RSkqGytqW1db9SZmJSiv//mITJpFJTEuXUHSYvF+x2UNUYkhQjGg1weBjFaFQ5OvJychIjO1siOzvGwoK2AOnoSGNm5hTfZTi0pcXB7q6Hg4MQt29bycjQ3qulpRPc7jj5yG4XuXvXzulplLQ0SceZy8w0U1wscXAQxuWycn4e4PDQf+NYIw0NOcRiMhcXERYWbqQZXlpxsZ2iIjtGo8jS0ilHR3H03NCQy8rKGYGAFo+8fTuDwkIHR0cBcnKs9PXtIAjw7//9h/lf/pcmZFm+Xog1NTW9pWrfsixzenrK8fExbrebx48f09/fz4c+9CGGhoY4PDzk1VdfTalZ9sNmXq+X9PR0hOU9hBQK4e/E1AsvalUhHo8Hp/P5tv087V3juXkzYSlFUa6redfX11NQUPCOzvm94NyoqnrtsYE3X9FbFEWysrKYmwvzT/7Jri57weWSKCqyc3Hhpb7eisNhQ5K0WivBoEJPTxagYrEY8fkkLBaZ83OtSrjdbuO117QVpcUicutW7nX9m3v37EQiAo2NYZ4+DWM25xO9VMx98MBJMBhDFGUODmF5WRtqgqiy7xXoqoow1GegsVNhY02bMAxGlfl9EaNBpT1fwe+Hub34pFZeqbJ3Y9lfUqiytaeRhNszFKQw9E5m6+7LwkGMmwUuS3NV9g51uxBNcXt9KSpwR1MsA4rSVLZTkFwTPUoAFQ6V5QMRDqCrKcaUXcKvCNw2KDxJIepXqIbYe4bC78aWSGuhwqBVf1yJGGEjUeEQzSuRvgaSAEqK68gyqKwca30+XBcwF6mEbwAnV0zhyhcSUSWqwjLHN+gMeTGVK4GBjRTeG4uoMjMv4g0KtOfLDPtTTGp+MCR4qhRVoMSksJ0gxhcNimxu6p/RgtuO3RTFf6P4qNOoSQ9aDCplAYXBVQmnTcV7SR6fWBHJdqq4L703Z34BQVRRFYGVPZGuRpmBS/J6mku51lryhARa7srYTCAHoKFCZnFRZHdLJhKR2dkWuX0bDg/9+HxQU2Pk8DDIxYVKWZkDo9HHwUEUn0+kvd3F8PAZQ0M+SkrSKC6WWVjwMT5+wb17dpqa7Lz66i6rq9qDs9kMPHxYzNTUIV5vFL9fIRSKcXYWxGo1kJ9v4eBAG5Snp2FOT6GjI5doNIrT6eTkJEgspi1O/P4o+/u+a52cnp4ijo+DLC5q73x5uZNgMMzwsBamEgSuC2cqisrExAGhUPzbdhXi6ukpZnn5jJ6eYn76p+v4n//nemRZ5smTJwiC8JaBDWjf0ZycHHJyclBVlczMTPx+P1/+8pdZW1ujrq6O3//93+dHf/RHefDgwVtu/wfRVNmAmmJx9I7sebf3XbIfGEJxKBRieHgYn8+H0WjEZktOSX2r9jedLXWzlAJogO6tZA289NIGn/rUX+mATVqakZwcBzMzQdbWIjx9esHw8BHn51FeeWWf3t5D+voOWVq6YH4+wtDQGU+fetneDtLYmMfTp/FVWnNzHpubEZqbTbzwghmvV2B42MvUVJiurkzm5rSPb12dwPk5jI3J7OxwrbIK0PUwhnIsM/CGCRWB40A8BtLUopBjVSiJqfT1SVgy9NfnlRNDUNDukik6VRkYlFAT3rmKAgVPRD/R+8LJsu/rCRlABjF1RtFWCsAipXiDci0Ke4HkH/JuqPQNTBrIWlSpMSo8ixmQFU0dErWLKivnAoOzEg8TBHOKjM/+8ASP/bTEUiAxoNKkcCUXvH0q8kDUx892dvVM4eFdkTIhvs/unv7eHB4JOpJwg0XBe6ka7T7WtGkS7TQo4DtI2sz4rki2Kb6/QVDZnZUpM+u9DIGoxP1C/X2f2DVQaPFTHQnwdEbiIijQWBHvdyAsUFMa/3t1X6SjNv730r5I2iVRautQ5OPtURpcMpt9ApYg9H5dYuA1CUmUCYcETk6sVFVpY3p1FaqqHEgSLCwolJY6sdkENjZkRDGNsjILoZDK8HCMnp5sBAG2tiKsrsr8yI9k0dIiMTt7yDe/eUh5eQb37mVofQ7I9PaeIAhWXnyxiJ6ebGZmLjg7k5mdDXN0JHPnThplZWZEUaW1NZ2hoT3Gx48ZHXWTnm6np6eE8vJ06uqyOT8Ps7vr4+goQF/fLouLp5SUOPnwh0tIS5M4OIh7elQVZmfdhMMyY2MHlJSk8/DhLcrL4+n93d3F9PXtcHwc0AGbyclJAJqbm98x8BAEgZqaGg4ODjCbzczNzfGP//E/Zm1tjR/90R+ltrb2TUmHvGc/uPYDAW48Hg+Dg4PY7XYePHjwpksw/HX2N0kovsmvuVkA7s3af/tvS/xf/9cktbUuSkrSMBgEnE4jeXlWlpbiHydJEqivz+bp0/g2h0PCZktjdzc+8T18WMDgoA+XS6Kx0cpHP5pDKBTFYAjz5ImHSMTM9rZ2b/LzTUxOGmloUGhqCuFwWHj6VGun5q7A+LiBjAyF7q4Ih/sKGxsa2GluV9g50IagxaTisqgsj4msbogYjSpzN1bmWZkqs7vx+3E/T8a/LDA8KLF1qWq8nwBSCnOSP24HYT3oLXCEOU4IeVRnKQQTgFS+XWE/BWA5TMGVKbWn/qgmDqUtt8hqv0BaqlQtwG5JLdBXaVGQL70qvWMibcZ4w9FgykMAOPUaGZkxUywnlgwFMYGnMz4nkm/UxmwmETbO9VknsiqQc6H1u9SksJaQjr/hFXlgiI95+UZtxtVTkTZ78vtQKqs4UyTHhGICNTf2b7IE2D00sX/hwpxQc2p2VyvJcGUKAjUWlenpOIScWFZxWOP3bHRZpCAz3v76oYDlEky5L9O+O0tkgjMw8sjAxoJILCowMCTS0Ki18+SJidZW7SZOTBh4+PCSC/REoL1de44zMwqVlU6sVoG9PRmv18Ldu9p47OsL092dzfveZ6WgIMrLLx8QCEiUlWn9Xl72MTfnp6Mjj9xcre2aGjtPn7qZm7ugp6cQu10DtooCi4thPB6R5uZMwuGoruzEyUmIvr59cnPTUFWVe/eySU/X87dcLhMDA9s8fXpMZaWLhw9vUVqqhSDa2wuZmDggEpFZWjqlt3eb9XUPZWXpfPzjFZycBBFF+MIXPqoDNoqivC2PTSqTZZm/9/f+HlNTU3z729+mpqaG/+l/+p/4kz/5E46Ojvja1772Qynal2Qx6bvz711g7w7/Es8OS+3t7TE7O0tlZSVlZWUIgvB9k8L9Ztt5u4rDV/aFL0zxj/5Rr24xnJVlJSvLSjSq0NqahcViRBTBbjfj8ci0t5uua6+YzSa83jD19QJGo5GMDDuHhyGys2Xc7iAFBem89pqfSEQ7QXt7JkND2ko+LQ2amuysrgaYno5RXW1lejo+rGw2Az3dUWZnVdwnEVZWb0zYlzijuVImfA6v90nIl6CisUlh7AZXpqZGoX9boiZLxnQKxgAs78Qn1PwshdUj/QQbSJg/b2UpbCfUW8owX7Av6707mTY1qWR4qUPlIMGR4jCoSZo6AOZnLBl2vMn7yjL09km035WZsouEboSC9vypG9JHuQVmxkRNAycisnqa+ph0g8rmuQVVFTAcWjEVKkRurG2W9xRuhu8CUYG6C5kDi0hhOMBpinIRowcStdUymSopScJ7hwJSlorTAFPL+n55TuIEYtBSuqdnRC4CUF6qsJ5A3J7aFXE6VaKKwtLl+DrxS3TXyPTfIIyfBgR6KmX6Lre15cm88aqdkhyFrUsA5g8baLh1yvS2ppIcjgqU5MfYv7x3B2ciD+/JzG+IVDsUev9cosClEg4JhEPQ/UCm/7GWVXV8omKxRAmFjMzMWKmsVFhZEenrM9LWJjM6GmVgQOThQzu9vX6mpxUaGpysrHg5PVUwmw185CNWjo68DAyckpdnwuXSrm9+3o/FItLTk8/AwCGKojI0dEpVlY3mZgdvvLFHMKihwb6+I1wuE42N2UxNHVFUZObsLMr4uObdysiwcudOGpubXg4OQtTXWxgejlcRN5slHjzIR1FUDAauwQvAysoZKytaOx/5SDnBYIziYgebm3HZCEHQSjW89NIakiTwpS99gs98pgZZlpmamkJRFJqbm68TPt6JybLM5z//eYaHh3n99dfJz8/X/W4wGKiurn7H53nP3t32rvXcqKrKwsICc3NzNDU1UV5efg0Kvt/AzXcKSymK8o6Azb/6VyP86q/qgU12thWLxcjSUpD19TBjYyf09x8SiQh84xu7DAwcMDx8yMSEG1W1MzgYYHY2ytOnUTwelb4+H7OzPtzuCC6XkZMT8zWwKSgws74u0tpqoKNDpLHRzDe/GWJ5WfvImkwuFEVAEBReeEHGfazQ1wdnZwLKjaqUJWUKh0cCD0pknvRKZBZynZYLICZEFSWDygOrzEK/xPS8hJBARako1a/gjQaVhUP98L6Vm+wtsKYne0eOzpNDV4YUi5VKl3Ktx3PTTlJ4c7LNKjspMq0qnSr+qMDwtET2ko9sQQONWaLKVgpPEYAnwTsTjAp456DRLKc8N0CVTUG97OvGkYEHYvx+3TJEcAeSZRJGVgxUyhdY1NQeJADxRMCdIpQEmqLwA4NCrVEhllC3a+lEpMUWfyea7Qpev4CqCuSJyZ6si4hAlcFHZewc741q5+sHAoaE/RcPRMySSrFTYXFAJCYLFGbq91k9dpF5Q/dmdEmi0HXDfRUFx4HKwLckwmGBjBtV5QdGReovPTb7BwbqGrRxHQoJRKOQlqaiqgKzsxaqqrRn2Nsr0dOjDdrz8xgPHxppawtydHTIq6+ekpZmQlFgfz/C8rJMT0/OZZsKfX0eKiuzqK930tOTzubmGS+/vI/TaaWrKx9JuuQLnUUYHDzm3j0nubnO6+3aOSMMD5/i8ah86EO3MBptut/DYZmRkQMMBoHlZQ9tbUXU1cWFNOGq/tw6vb3bbG56rz06t2+n095eyODgLgaDyBe/+KN85jM1KIrC1NQUsVjsuQEbRVH4h//wH/L48WNeffVViouL33GbP9D2Q+y5eVeCm6s6JMfHx3R2dpKTo38Jv1MJhrdi382w1JV+zVWtqLcKbFRV5Z/+034ePdqhu7uAurosMjPN5OZakSQDuzc4EoIg0NGRz9DQsW5bS0sxT57Ec4OLi22cnxuJRK76DZmZdk5OIpSXK7S1CZSVWbm4CDA2dsHiYpiFhfgHq709ncVF6OwMUVrq4fTUwNaWdk23bgVZXskAwGZTqL2rcLoiMHKZKr59Er92R5rK9CXJONuh8uJtmaFXJUYuK35Lksr8bkKtqIRbd7dUL+4HEBOT7+/uDQVcARWTpHKsJqeR7lwkj4O0FLJJFlFlJUUxy/IUYRiA3Bs8nJ0TB8K8RLVZocKYen8Dqq7O1pUdnItkbamYUgADAHOCuN7AE5G7Fu0cpamQ26VF9iSWdp89Lt0BsH+H9PLNfYHz3dS/XZzG2z28kf49uiFSkuJ+bZ8aONzM0G3bOxd5UKjf99gn8KBQIe1IxXvpWRtdECm7AW79IYHaG4BYUUWyXCJ2c4w75jN6/1LC6YiHbidnJdofaGNAVQVOLxSMJu3vsQkrbZe/bW6K1F5ydgIBgYsLG4WF0NAQRhACfPCDYba23Lz8sgePx0h6ugFFgb6+AJ2d2ZhMAtGotsBoasomL8+MJEFOjsjRURiQsFi053V4GGJg4ITi4nTa2rLJzJSoqrIwMnJOX98hJycyHR1FVFdr2UO5uRbKyuy8+uo2ExOnZGSk0dNTQmmpxpdpakpnaOiAk5MQ/f17zMycUVCQzsOHpXzkI+XXujhXtrJyxuDgDpmZNvb2fLzvfSV8+cuf4Cd+4u41sIlGo88V2Pz6r/863/zmN3n11VcpLS19x22+Zz+49q4JS12Zz+djYmICu91OR0dHSmG+7zfPTWI7N4X54K0Th2Mxhb/7d7/Nn/7pom57fr4Vg0FzMZeVOTEaJVQVnE4rOztBKisdBIMyoZBMXV0+ExNenE4DJpOAw2GgoMBJMChTXW3FYBCw2WysroYRhBDr6yrp6XZGR+OxmcpKJ6OjyuW5Bex2gYyMcwYHVe7ftzExEZ8084ts7B0pdLTJ7GyrDPQbCV4STOvuy8zsxveta1SY3RVpK5UZHxWJZEDkBlCpu6cwdSPN2mRUmdvXT/hOB3CD54Ggsu0RKLcHsMkhnCY7ZiT29wQEj4DnQiAYEigtVFg+lRBFFYcNnA6ZrPQQcjTGPZOXsMXMnmIjIEucp1DjrXIqPHUngwXzMx6vPxDlZjjo+FzEP6RS3pIa3FRbFeZStA/gPxJozZQZSPFa77v1HVBUgdCairlIJZBMwbk2WwQyLrxMW1Kn11aaVHbWBESXmjK9WwRcz2h/yS3SWi0TMgjMTMafn6wIFBqUq8Ska6uyGBDS4SgBTG0dCkiCes1DAjD6VdZX4/dJVgTy0hU2juLHjS6JFGYp7F2minsCJprSFPr7tWudXkyj9NYFm9sa2F3eUnE6FLwXIrv7RtrbQgz3a+dYWhXJL1A42BcZGZF44YUYgYCCwRAgEPCxtubD51ORJGhvT2N42MfSUpTSUidWq5/d3TCDg35qajI4Pw9wcBBmasrHw4dp1NWZ+fa3tRS/w8Mw2dk2OjutDA5qLrPNTT82m4GsLDPp6Rauao1EowpDQ9oFf+ADt1CUCL29cXG+K+6N0SjwwQ+WEgzGcDqDuoSEgwMfubkivb1nlJQ4KC3NYHf3grW1c0wmkfr6XEZH9zGbJX7/9z/Ixz9eeQ1sIpEI9+/ff8viqalMURR+8zd/kz/7sz/j9ddf5/bt2++4zR8KkwVIUdT3Hbf5LrB3DbgRBIHj42OmpqYoKSmhqqrqmYDg+w3ciKKIoijX7P1E4vBbsWAwxs/8zDf5xjc2dNsLC62EQgoHBzIQZXVVC610dZXwjW/o1UYfPizk8eP4NqNRpLAwn4GBuD5Ge3suvb3n13/X1jqZmYkPl5oaA7OzMWprg6iqQEZGOq+9Fgc+Hk+cgFpaqmI0QGFujP4+gZ6HApuD8WeXlgNo5WywWVSckoqwC73z2sSRyJ1JcwE3Jqna2wqTCTo1B36BdKtKdaaCOQJqQGFwQEJRbFyRfbobZRbX9MfluVSWT0FRBDw+8PgM5FmtTN4olikKKmX5HkQ5RoXTxlo4HiPLeMZ33B1IPVav6h3dtEBYYOeJSOcdmUGfvn+Z32G4rB2LHG8IdPXIDNxItc42qaxtpBAfPBJ5oUhmbO/ZjWYbzEwfWMm+reCWk/c725fZODHRXSTTn6JieLlBZWFDxJqpJpG0QePeZFqSvU2j6yLFxfFq7i6zwuSoAYsBbFaVwA1X3c6ZSGeNzOAlz+ZujsKjb0p0NSj0LcT7NLIoUlWssHx5veGoQGmuwt4J3C1WOBgVOHSKiKKKogiXSsX269Tw0zMDtZVu5mY1uYGRJ2bqG2WeTkl4PALFtSqujBguV5jpaT9lZTHGxjSg0NRkZ3bWRzSqZRFeAZzNzRg5OTbu3JFYXAywsBAiO9vIhz5kZnX1lDfe0ABMW1s26+te3O7I9b+amlwslgihkJf5+atYZYCKChc5OWZGRzWeTmdnFv39W4TDMvn5NqqqMpifP8PtDuJ0migrs/Htb2usKYtF4sGDAmRZYXb2mLq6zOtq31tbF2xtaUi1qiqDigoXKytnWCwG/t//91N85CPlKIrC9PQ04XCYlpaW5wJsVFXlt3/7t/njP/5jXn/99ff4NO/Zm7J3TVjq4uKCyclJamtrqa6u/o6eDkmSnktYShTFay/LO7Gr7ICrNO8rfs1bBTYeT5jPfvav2N/38/BhIQ8e5HHrVhrFxRYCAYXTUz0Q6+4uYWDgWLetp6eA3l79tpaWIqan48vrykonT5/GV29Op4THYyEWU6msNPDCC0bsdiuxWJC5OTg9FRgbiwOfhgaJ1VUjFotMd7ePkhKZgT7Y3tY0RLZuEEAzXCqTiyJWs0pPjUyJWeGVVyQ8l+TbrGyVp6s37pOgspJAHLbfYNhWZii8Pz+G6VDlYgJGX5HoeyThO/OhJGjXpNK3CabAspYEIWBFFbAJaUw9yWLtsZXshSD1oRPyjWHOAsnjziZpqduJli0FOI8m176xG1QWDgUGH4v02PQd8j8jG6rMqnDsvwzBDInU3gjr3LY8e/x6tqBUfPbv27taXauqSDIASZeizK1rz312ScEupAglrQscXwi0OlKf4zQgoKbg7MiKQEYoPibrrCr+oMDJhcD9/BTnOdS4NyZJJbyigdP5dRHbjbCfqgo4EoDU8KLIi7UxNvsEzk4FVjZEOm94zRZXRboexP+eX83iTnXwur09dwSnM0pLc4BoOEBWlo+BAR/n5yrr6xJlZdpYn5yUL1WJNRL52JhMZ6fGZTo+ltneNvLgQTpdXWZsthCvvXZKcXGcNzM6ek4sJtHZGddxstlUNja8GI0WSkvjvKi1tQuGh92Ulqbz8Y8X8uTJAeGwNo4ODgL09u7h8YR5//uLaWnJvq4gDhAKyYyM7DM356apKQ+z2URtrT7sb7NJRKNhXn55nb29C770pQ9eeoYUnj59SigUeq7A5vd+7/f4oz/6I1599VVqa2vfcZs/VBb7Lv17F9i7xnPjcDh4+PDhmyqE9rxSwa/ixLIsv63yDVd2BW4ikQgGg+FtEYcPDvx86lNf4+lTt277rVsWQiGBnBw7NTUWjEaRSEQmPd3O9LQHSYqnIHd15dPXpz9eK2h3fv13RoaRUMiM0Rjjzh0zGRkGMjJsHB5G8fmCrKz4yMvLZ3w8njZeXJzD4aE2aRgMKn6/yr17G2xumlldlXC742m4LS0CY0/i97K+TUaNCsxPivS9KvHwwzILB/F7U3NPoX8uDoZq7yjMnek9BHIIejJkNlYFVmZFch6ozC3p9wmpCQhFUFlJIBwLgsryYfJzPkqREZV5Q5zGfW7FPWlFFBRc5R5uZwdZVTKuf69yKEz5kr0aFekG3N6kzVSlK0xehp763pB42C3TG5YQUVk+Sz0Oi4wqG5f/H40JnMyqZFeruCMCUmppG0Ardrm1pWDIhVhCGfQSu8Lmina+oRWRew0yszeUi++liQxcqj2fh4w0BE+ZtmRe/17tiLF06e2bXhXJyFc5T0CUd20Ke1sCgqAmKTTPHTspLZXxREWejMSve25NJM2m4kvw3nTXyIgR6B3X+njiEXjYLF97AAEmliUabstMb2jb7hWrXCwJBPzxtuaXRdKd6jXAfrookpkR5fTciKoK+KNmbFaVUBgqSgTEqJfhIW0iX14SaGhQmJ4W8XggPd2MyxXk7ExleFimqyuNgQEfsgxDQzLd3Q6mpy9obISVFS9VVSa2trQH1tvrpbY2G4/Hz+5ugPPzKIOD55fcnDCPH2vuy/PzAJIk0NVVwPq6h/39AAUFFiyWGC+9tElmppm2tnzm5tycnGht376dwdOnJ7jdQYqLXZSXO1hePuHgwE9GhpnCwjSGhvav70lRUQbl5emcn/uJxVQWFk5wOIz8wR+0k5l5waNHj67BTFNT03MDNn/wB3/Af/gP/4FXX32V+vr6d9zmD519N8DIe+Dm+ZogCG+6wuvzrAkFGrh5uy/rVSjKYDAwPT1NXl4eubm5b6la7fr6OT/+419jbU1PNigrs3J8rOD3x3C7PSwva793dxfzyisa+U8QNAn25uYcDg7CNDc7MRhERFEjC5+exmhrs10rlNrtTmZmLggEZDwe6OrK5eWXz6/P2diYTn9/3KvT0uJkfFwlPV2lvNyH0RhldDSTqzzf8nKJgxtgJXj5WLIyFe7eibGzYGB9PT5xbR7qJzhPWP93Zh5wDiXpCqVWlWgAhl7RT8qJIWaLWWb9WJ9+VVWcLNRXXaiwmFAV22lRWTlKBjeJNZ8AqvJU5tdcsAblxSEsxRHmY04IeIFkzookJAMeAEcCfuntl+jpknFLsPAMvk00AcAcnonUn8icO0U2Dp8NpHf3ZbbOTDzIDjIi6VPQSkzqNe9FVQUi+wJiZpxbEzzVt7V04CK/SuYgqvXReHIOaJ4GT1CgxxKjLxr/5IiCyvqCwO6hSEejzFBCaQtFFcgXoMSm0Hsj5HXqE+gpl+nb1u/vu4DVEf3Nm1oScaWpnN0QYNT4WyrVhSrrvQI+n0hrg8zYZRmG03OB7jaZ/lHtb69PoKbCx+m59gx39kR+5IUYq7Mqo70S4KSzM8LgoIyqCqysWMjNveDoyMzWlsqdOyaCwTChEAwMyHR3p9Hf7yMnBwQhQEuLwqNH5wAcHER58CCbmZkzAgGZuTk/aWkSXV25DA4e0tmZzszMMYFAjJaWdJaW/FxcxJBllYEBNyaTyMc+VsTKyjHz89r34PQ0TG/vAWazRGdnERaLwNDQwXUa+c6Oj50dH6Io8PBhCWazQG/vtn6c7PoIh2OkpxuQZZWPfKSc3/iNblpaClAUhcnJSS4uLrDZbIyOjmKz2a5rQKWnp7/lxaGqqvzf//f/zb/+1/+al19+mfv377+l49+z9+xdE5Z6K/Y8w1KCILxtL9BN4nB7ezu5ubkcHR3R19fH8PAw6+vr+P0pyiTfsOnpYz74wf9KLBamoyOHnp587txxUFlp4fBQxu9PDEUV098fry+gqlBa6uSNN46YnT3jyZMTRkePCYdVXn31iOFhN6OjJ0xOnuFyORgZ8RAIaG1WVKQxORkHMg6HxPFx3ANSVCThchlobvbj95+yuBhhZSW+ci8oMLCwEP+7tCzI2WmQurtuLs6jnJ/LOmBT1ySzdSMLqrBIYXYtPik5bSqWMNSisDUs0vtIwpiAEQ0Glfkt/bCuvQ2RBMSTl0LgLycFZ7aqIDndWxJUllJ4eHJuJFmt71iYH3Jy5zSGTUhd4HInRagKtMk70foGJCrCzwgfqcmhOoCnKxLvE2T2PKlf80xTjPUjDbSPrViotejH0kUCH2j5SKTTpPXBaVSZWdK3G4oJlF2SrCVB5fAwU/f7yKJAtiE+npqyFXYv7+POTnJKN8DCvsjZcnLfp1dE0hNCTMoBNFXo75HXL3CvSL9tYUvkA/Uyp1MCvst7fegWMN0Q/xscF7lzO34/FtZctDbLpNlVuhpivPJV6Vq5GGBqykh5udZWICBhtaaTlqb9vrgoUlIiI15e39ZWlI9/XMTjOaKv74xHj3x0dWVch6BGRvzk5zsoL9fAps8nc3QU5X3vy2R19RyvN0YsBuPjfkwmE11duYiigCTBgwfpfPObm2xuhujuLqK4OB6uCodlDAZ49GiH8nInHR35mEzxZ1hWpnlvXn11E7PZQFdXIfX1WkiqsNCOzSayunqO3x/lt37rBVpaClBVldnZWUKhEJ2dnbS1tfHiiy9y+/ZtotEoU1NTPH78mOnpafb394lE4s//WaaqKn/0R3/Ev/yX/5K/+qu/4sGDB3/tMe/ZM+y9sNS7wwRBeFOS2s8rLAVvn1R8Jcx31V+bzUZpaSmlpaVEIhGOj485OjpibW0Nq9V6Xc3b6XReh6z6+nb47Gf/8rrSbpzMZ2NvT6GgII2cHCsmk0QgIJORYePRo31dP+rrs1hY8BKNxj/wlZXprKyEr+tAAXR05NPXF4+RWK0SYCUQ0M5tMEBHRzZ+v0JpKezshCgry+DVV6+OEWhvd9HfHz93RYWD/X0Bs1lTLrZYTDx+bGBvR/toRyN+biq5ObJVuLFgvH1HZX9GoLlMxhQCfwBe/aZ+tX6YkHZ9r0ZhKqEKuDVFeSZfim9sqm3W5DJNVOUrLOwne1CCKbKn1jclNpZs1FSc48604o5qDWaIQba9yR2zGlSWU3iKAA6WRK14Z0Jdpkq7yspBagAT2hdoy5IZPUnub77g5RQNgCiqQGBbwJyr1ZRyGFVml5LbnF4UyalSuG1XGZKT2xxeFamtlzGZYfKp/veIIlEUC1xXMw/tBtACY7BzIlJfdsrTkB4Q1bsUgolpU4A3KNBzOy7W13FLZugbEhkOFadVvS71ADA6J1KUq7B7Eq9E71kU8N1whG7vifQ8kOkb0dpTFIFwOIIgmFEvQ2+iBIU2lYHXtM/m/r4BlyvG2ZlAICAgCCZstjCBAGxuCjQ12ZieDqIosLSURmfnBefnbhYXNf5ZS4uN8XFtcTMw4KOpycHamh+vV2ZtLYzNJtLTkwkEGBw8ZmVFxWrVvKUTExeoqsrJSYSBgVNaWrLIzFT51rc0j20kotDff4QkCbS3F+LxBMnIMNDbq+Xlz81pbjeXy8yDB1nIssLc3NH1t8brjTAwoCUdNDfnkpFhZnv7nMLCNL7+9c9y507WNbC5uLigpaUFk0l7rgaDgby8PPLy8lBVFa/Xy/HxMZubm8zOzpKenn7t1bHb7boQvaqq/Jf/8l/4Z//sn/G1r32Nrq6u5If/nr1nb8LeNVXBQeOsvJnu7u7usru7+1wQ/+uvv05TU9NbqjT7VhSHY7EYJycnHB0d4Xa7kSSJ3NxcZmbCfP7zvXi9+hmzpiaN1dWoDqzAlcdGE+EqKLCTmWkhL89OJALRqEo0qhAOa/WDBMHM8XEYWdbuZX6+Db/fgCgKWCwiFotAVpYDr1chHJY5OYmQlWVhdDQO2cvKrOztWa81cQoLjZyeOgiFrv6WyMlxkJYWYmYmjMMhsb+fea1AXFCgcnRsvP7baouipAuEI9rEUVogU1mhMjMlcXgZVun5oEzfeHzCLCxQ2EsonXC/+YKJdb1Oza0yhe0b5QEsJhXSIHSD/2EyqkgWTRDvplUWKklekZ4qmb5l/cQtoOK0auGXm1abF2XustyEzaJyv1th0CvSmqUwvJkMDmodQea2k0GPJKhYAuAPCzzskem9weHpccYrqSdaW7rMwoZIZqPK5oX+OlqtEcaW9V6lnlqZPkXiQabMyEjqNttvyyhGGJ1J/fvdAoX0DJWhJ8m/i4LK7TsKHhnc4yLKDXG/dGuEaJaBwGWFeItBJW0b3CcCdbUyM3sJoNWk4szVRBCtWyrHl8+4575M35x+3we1MiNrEoKgcj9dYbxX4mGnTO9YfD+bVcXpUDm48bw7WyIMjpvoaZYZ+pZIa4vC0FD8mNZWmbGx+LvY3i4zPBxHyd3dKpubfoqLg4yM+OnqMtHXF0dVNTVhlpbk6/tQVmYCFDY2gnR0mFlZOeH2bRvz85rH5voe33UgyzGWlrw8eJDO4uIJHk+Ue/cyEEWVp0/jOgi5uRaysgyYTCKSBBMT+sqxbW05PH16SGWlC4fDxNTUEYFLYnx1tYuTkyAnJyHKy9P5q7/6DKWl6dfAxuv10tLSgtmcYhWQwkKhEG63m+PjY05PTzGZTHg8HkKhEB/96Ef5i7/4C/7BP/gH/MVf/AUf+MAH3lSb71myXVUF59sefcbF8zC/Fz6Y/l5V8O+FPa8U7rfT1k2PzZshDt9c5SiKwunpKf/5P0/wO78zi8EgUFmZRlaWDa83iMkk8PRpCCWhrHNXlwZsAGIxle1tH2azgeFh93UFb4CMDDMul5P19TipOC/Pyt5ehKOjeGZKZ2c+L70U38flMuJLEO212WzXqsUAt245OTxUaGhQcTpjCIJFR1Suq3OwsxO/F7crRfZvcHGaO0RmVgTulfg4PYSYR+Xbr9wAKYLK2o7+XlbcVtmb0fdr+0Q/pEsLFDYT6h7dLVd4kjBR1hQrTCd4YzLtKqvHyc/Pl4KgW52vsHiQPJlLEQ9XvJNASKDv2xI1lTL2zNQg3RgNoatLcGl3MuNE6t4+iYcvyPR6tb+DgaTdAa0A6OKGyEVAIGdHxZqlErwMz0mCyvJuMo9sYF4jDifWmrppT7dE7qQ9O8Nqwy3QnCK7Ci4zzQKQ74KjBNViT9BEneBm5vJ+NWZGGJ7UJk0lRSp9MCLQ7FQQVVUHesdnRfIzFQ5ukK9H5iRqq2SyDND7l9q+45Mi+TkKB5fjIxAUqK1WOLghMzC3ZOQDzTFee0kbV0ND0mVZBa2NsTGJnh5NhRtgeFiip8dAX1+M9HSAMOXlQXp7NQ9NX1+Enp70a4CzsGCmrk5iZcVHKAQbGxGqq1VeeEHgjTc0L6zbHSEzU+DuXet1yvf8/AUOh8RHP5rL8PA+Ho+2CJqdPdfuXWMuiiJfLp78zM/H3+/SUhe3btmZnDygsTGbwcEdFEVlZkZ75+12I52dhRiNApOTx3i9EWpqMvn61z9DQYFWj2pubg6Px0Nra+ubBjYAFouF4uJiiouLkWWZs7Mz/viP/5h//+//Pb/wC7+A0Wjk53/+56mpqXnTbb5n71kqe1dxbt5shtHzBjdvJhX8puLwlYbNW82IEkWRL35xld/+7VkUBSIRlZUVH8PDR4iiyvR0kNxcC21tufT0FNLUlM2LL5YwMKDPpS0vT+fsLKYDNhaLRFGRi/V1n26by5V2qXyqWUWFk6kp/exdVZXJ0VF81djS4risAK5SUSHy/vebUdUAdruH6elztrcjDAzE71l2tsj4eHwitVhUZme1ycFkUmhrjSBFVUL7AhNDaWysp3GrTP/BLK/ws5fAczlPKDVQlB/gOCHUc6sweZK1pyjD7UyxrSo/XrLgyozSX8+3uWmxFKULFlYkNkdFerJlBPT9i5GetD+AVdajjd43JHoyZAxCcpmJK7uTpeK9BAVr2yKVN1Kra1wqnhSAQVEFAjsCG1vPHrt1OQonmwImKTWAachVWFkQsBtT/z6zIxLdSf3b2lEWWeYYkqCyOhV/h+c2RFpLkoP9u0cCR3otS4JhgbJUnCqLSv9fxe9VIChQkq/fb2xK4k6FBjxsVpWKTIWTXY2AfGWrqyI5OfHxPTJi4M6d+O9DQwY++tEYonhAf/8Jvb0ROjvj4/IK4FzfjxmZkpJ0KipMtLcLrKz46O0Ncu+emSse7umpysJClO7uHBwOAzU1dlwulW9+cw9FMdDTU4DRGL+2qalT0tIkzGaNL3PTNjcv6Ovbp6VFq8lUUZGh+93vjxKJaOUYHA4Tn/tcDS+//NlrYDM/P8/Z2dlb8tikMkmSyM7O5u///b/Pv/23/5aCggL+h//hf2B0dJSSkhJaWlr4rd/6rfeqe78Tk79L/94F9q4CN2/Wnlf5BXhz5OR3WkoBQFFUfvu3B/nSl54m/dbcnMXsbBhVhYODIKOjRwwM7CEIMo8ebZGVZaChIYPu7lxefLGQoqI0HA4DFsslV0AUuHcvn9lZfbZVQ0MuCwtxsJOWZkCWNc2cK+voyGJkJIDNJlBVZaS5WSAW81NXFyE9Pcjamof9fYWRkSBer3ZcXp5DVwG7psZJ6AYQaWmB8vIYnR1BLOYQFxcKvW8YiFym9hqMKosreq9CdoF+qGZmRplb09/j8opk4u5Fiqym7bPkZ3OUgsQrpfBr3slXdAJyVxZIwdcxSQprx8kf//x0hdV9LfW9UVHIviSm2g0qSyk8RQAXKYpo9j0W+WC6jD9FfwAyDfpJ4emCk85MbYWf+YwyDaCVlahUnv274IetI5H29NSgP3YOR+cizRmpf28qUNhdVhFJ/j0QFrhjF2gtUHCf6DPctjYiSAlaOnmKSgpcyvBTkZpb8UGY5VSZfUOivUl//MiERFOt/mt9fuEgP0ehzKnwZEhiakqiuzt+3OmpQFGRBu4BIhGBiwsDLpdKaalCTc0JfX2nZGbGn8vISIy2Nj3A6e7OuPxLJStLxmiMcnISQ1G0RIDZWYlbt6xkZ2vPXlVhcPCU5mY7TqfA1pbmDfJ4ovT1ucnLc9DenofRKNDd7WJwcJfJSTeTk26qqzNob89DkgTMZpEHD3J4/HiH/v4DVlZ81Nbm0dlZjM1mpKOjgKmpY0IhmdJSJ//u332A7GzrNbA5PT2ltbX1LWV8fif7+te/zi/8wi/w+7//+3z5y1+mv7+fg4MDfuVXfoVYLPZede/37G3Zu4pzE41G35QXxev1Mjo6ygc/+MF3fM7R0VEKCgqeWaAtkTj8dvRwwuEYP/dz3+CrX10BIC/PTnGxlWAwgMvloL//BG5ogEgS1Ne7mJzUp7MUFtpQFAMHB/FVfmamhcbGAs7OolgsEpIkIIoCDof1Goxo1wEOhw2/X7m8JhWTSeLoSOXoKMLJiTYp3r2bxvx8HER0dmYwOBifHKqqrKysWK8LeWZkiESj2YiiQm1tGAjjdqexuircaMPI4GAcSbR1yIxOxcMMkkEl4xac3AAlTc1eJtf18d479TLHJyIFTgWHESwSxFQIByEYFAgGweFQ2fMIWnFPUcVkhOxsFdkCNjsYbSCYwK9ATISnCeGrh9UyvQkaOgZRxWzU+DA3raFQZno1OVTVUSEzdEN7JTtLpbBJQQKepNjfLKkIXj1H6MqaM85R8s1MnSWHsu4aZeY39O2ZjCrl7SrqGSztph6rPfky/cMi9S0K0+f64y0GFWkT/EEBk0GlsEZl40ZBUJdV5WJOK4JqNKgU1ahsJGRrNZhCTE9baG8KMnyQgl8kqrTmyQw/TUaXrbV+xvY0OFPu8rE+oHnGmpvkpHtXW6EwtycAAvezZCb6JbKzVCIy1zWnAG4VKRycqkQvCwI601Q6q2O8/FdxgG2zqWRnq2zdyMTr6ZHp69OOEQSVj37Uz+PHh9eLg4ICrWDu0ZH2fphMUFcnMTER94x+6EMGjo9PmJryXZ5HpK7OxsjI+fU+6ekG7twxsrPjwWqNsLqqIfbaWgvn5zH29uLtZWebuHPHSjgcYWxMz60BuHMng9JS+2UoKxmRv+99BcRiMmdnIYqLHfzJn3wCq9VwXaj45OTkuQKbl19+mZ/5mZ/hi1/8Ip/73OeeS5vv2Q3OzUvfJc7Nx9/j3DxX+16FpZ7lubmZ6v12vDUA5+chPve5v6SvL15d8PDQj9vtp7Exm/7+Q9LTzdy+nYHdbsLrjWK3mxgY0GdF5eSYrsm/N622NpfXX9eHrTo7C3jpJf22np4CvvnN+MdQkgTu3Mlmfj6eql5TY9YBG6dTYmlJj43tdjuqqiAIKtXVKrdvG9nZOWV+PsbwMNy/b9UBm/R0lcnJBH2ThNvY0KzwJIHAG8VMUfoF2TYQYxANRdkYTsPnlzi9rNXU3iYznEB67WmXObrOAtJOdCtPZmhKv9+tfIVtt0hmpkrZbQVbFrijAmf+5Gd8J19hdi8ZlKQ/w2MvJCwn3CcCp6+LfOx9Mk9S7H83S2EyRbYTwIXPwsaQifLGc9ZDGdfbMywqC2vJ4CUSFRC3FPZCzwbhW5ta6YGTdYG0HBXfjTT6+hyF0cuSBpGYgCNw5cHQ9qnNVOi/BAnRmEBGQvp6jj3G0wltDC0sW8jMUzlNCI/VFSkEt1O/S8tbNjKcKucBAeNZHHzsb4cRBQuKqhf762iSkRTov+TZuE8Eejpk+kbj93N7V6Tx3jlTSxnYrCrFdoVXXjLQ0CAzfal9EwgI2O0qkqRek+CHhkTq6mR2d0XKy0/5xjcu6Okx09en8WL29xUqKw2EQgper0okArOzMs3NFmZnQ7S3yzx+fExdnY20NAmfTyYQUBgZ8VFXJzI3p6Ao4PHEkCStTMLCQtwVOTcXwmSCe/fMrK5GuHXLjMcTpL9f89BWV2eTnm5gdFR718vK0ggEwrzyihubzUB3dwEHBwFWV7X9Hz7M5/FjLTXtM5+p5otf/OhlfTqVxcVF3G73cwU2r7/+Oj/zMz/DF77wBT772c8+lzbfswT7IRbx+4ENS90sTPlO7FmcmyuPzZV68dsBNru7F/ziL75CMBjF4Yh/qE0mgbq6LCYmNIKfxxNmYuKQ0dF9RFFkYGCfW7ccPHiQz8OHhbS351NQ4OLkRA/o6uud9PXpSy00NGQzPq6XxW1szGJwUB+y6urKY24uDmzS0kROTvQovb4+g5MT7d44HAIPH1pwOMK0tARwOj0cHFzQ2xtlejpG9DLpKxazJLRhuC6gCZCXrzD5VD8sTXbIcyk8qJHpqZG5Xxxkuc/A7pSDqUEHT0YdZLjS8fn1YSl/KIEFDfhTyWykeAtKLrk6p6cCE6MSfd+U2BsSOJqAzkyZ+0UyxkvOicue2vl54n1GPamD5O2KIrA0IfLAJmNL4KqkpcY1pFtU1o/MxGIiR3PpVDjjF1dgOE/iC12ZS4LKqAIk97siS2Hrsgjp7olIg0k/9sWE8g9P10S6suP7nOnLmDG5LPEgLz4u89Xz69Rqj1+gxpn8bolnML0g0VaevEDx+ATu5Si0lckszcfR48GJjabSZM0o77nK0qD+PgyOilQn6OHMLaVzp0KmOkdhblLSKn+faoDmyubnRbq64sfFYgJWq0Je3j4TExqfqa8vRldXfIyvrMiUlJixWLQ+hMOaKGh3d5Te3hOiUZUnT/wUFNjIz4+P35kZkdradCorLbS1GRgcPGBg4BRBMNLeHi/BEAdMDmy2GMfHcS/O0pKH0dETKioy+dCHbnFxEWJ7W+tnIBCjv3+f1VUP9fVZfPzjpYyMaA/v536uni996ePXwGZpaYnj42NaW1uxptJVeBvW29vLT/7kT/KHf/iH/K2/9be+q6Gn3/md36GtrQ2Hw0Fubi6f+tSnWFxc/GuP+8pXvkJNTQ0Wi4X6+npeeuml71of37Pnbz+Q4OZmLafn0VZiOzeJw28X2MzNufnAB/6Yr351kfHxPYLBMOXlZpqbHfT0FLG0dK7bPy3NSFVVNk+eaGBle/uCkZEDlpc97O2FmJ7W5NDv3nXR0ZHPxz5Whslko7LSQmamiCSpFBZa2NgIE4nEP9BFRTa2tqLXaeEADQ0Z9PfrAVBdXT7HxzGys0Vqaw288IINUYzR1qZQUhLG7/dycBCjt/eC8fEQHo9CQ0M6FzcqQtfUmJiejg85QVDZ2NA7D6vvaiGxijKZ7rYoD9si7D4VOJwTGXldou91iUg0QCSqn/HPEzwqBqPK5r6ezGsxy8wtJ5RcEFUWt5Jfg1AKEFRdonB0LDL4hsTEyxKObejKieI9TwZRTrPK4l7yuCjLUjg4Tz5fpl1lZU9gZESi0KtSeGPSP0rBEQItg0q+dHP5gwKeBSMlV8cFnw3sIz4Yn5foScGJKUwQxhuYlrjv0sa/2aAyN5/c99k5kWyLyq0MJansBcDWqoBVkhFROdrRSyoMTYvcyYm/X5W5Ck8u07P3tgTMKUjJY3Miyl7SZpbX0si+wQMSBJXgho8Clx64y7IAqopwg78TjQqUZqpMj8avb2dHpLFRf4/6+0UaG7X+trdHmJ4+xGDQdKCubGREpqnpJlCJcfeuBbsdenqizMwc0tvro709vlhYXg4Ri4ncuhVvx2iUUdUwN4kDJycRhoc9NDdnU1xsw2IR6ex0Mjh4wtRUkNLSDJqa9PfY4ZB5/HgXk8lET0+xbiFlNotYLAZeemkTi8XKv/yXL/Af/sOHEEXhGtgcHR3R0tLy3IDN4OAgP/ETP8Hv/d7v8Xf+zt/5rnNqHj9+zC/+4i8yNDTEt771LaLRKB/5yEe+o4DqwMAAP/VTP8XP//zP8+TJEz71qU/xqU99ipmZmWce831pP8Qifu8qzo0sy2+KKKyqKi+//DIvvvjiO3ahzs/PA3D37l1UVb322ABvKyMKoLd3m5/8yT/n/FzPdnW5TLhcDtbWPBiNItXVLlwuK5FIFFmWGB/Xe2Hy8+0YjUa2t/WTa3t7AaOjJ7qU8exsM3a7kUhExmwGq9VIWpoZm81BLCZwdRlGo4QsGwgEIlxc+DEYTBQUZDA3F8XtjhKJqAgC1NTkMD8f738i98blkohG03Up5G1tGdcptACtrSJjY2ZMJoXq6gguV4RI1MzCgoDnUr23qwsGBvTk4qr6GMsr8dkkN1fhOCDoPBVNDTKTCaGs2movc5t671NtlczcTjIvxWDWUrdvWnejTH9C+MpqjhEJitytV7DeEhjfFVFUgbZbMqMpJvqeSpm+2eTt7eUywzdE77IyVfIaVQ4uBM4OSemF6cqXGUgIuxXmRfEXKEhuiVNfctTZKMpIbghFJCRRpbZN4akn3kaNJLOQwF3JSVeRi6EiU2GsN7Ub6cFdGXOGlsWVyuorTpGyHEw+Sk4/v1uuMB/UuDGduTKDN9p42CHTu6Jvs6tK5mJF4GmKauad92UGL597d41M/1clJEmlqDTI1p6eoNxU52FyXstaetgi0/uyxMOHMr0J13gz9Rs0jlZ9fYDXX49z3rq7Jfr74+9DWppAYaHK0pLmsiwrUykvD9HXd3YtnikI0NVlvw4jgcbLaWuzIQgh+vuPr4FNV5eL6ekzfL7496+83EpVlYE33tgnFNKDsDt30rHZBCwWmcHBI91vdrtEY2MWbrcfk8nAzIymifPbv93FL/+yVuZAVVWWl5c5ODigtbUVm01/796ujY2N8eM//uP81m/9Fp///Oe/J2Th4+NjcnNzefz4MS+88ELKfT73uc/h9/v5+te/fr2to6ODpqYm/tN/+k9/U11923bNufmz7xLn5tPf/5ybH0jPjSAIz60Ew1VY6mYYCnjbHpv//t8X+LVfe426ulyqq+NqrEVFNqxW23X9qGhUYXb2hIWFE05Pw0xM7FFebqOzM5fu7jwaG7OwWJKBTWtrHuPjemBjtxvIzLSzuRlifz/KxkaU+fkAPp8W8+/vP6Kv74j+/iPOzhTeeMPN2JiXxUWZ/X2ZJ0/C7O1FrnVturqydcDGbhdZWdFf5717emBTXm5gbEwbbgUFUR48COByBamtdQPHzMx48PsVhofEa2AD4Ekgo94qlXXABqCqRk2a/O0pUrPTXcl5NZJ0nrSt9raSBGwANlOEk8rzQ8iKyMyUgdGvSxSfqnQWy5if8WaFnlHyLDF56eRUYHVA4EF27JnhpfXd5O17h0YqLhTCodQgo7ZAIRS59GwqAtszMplGbQLOdygpeTrHHoHbioL0HbRvRuYl1MNnr5PmN12kpeArAcyvi3TdUshLVxkd0J9/dEKkKDM+cZuNKmtjAk/nRDpqkz2zgxMS9WUy+VkKU9++qg0nYDVYrssfXJ93yU5+Tpim2hC9r2j7Dg+LVFbqgcLyskj+ZSVyQVC5c8eH2+1FunGL+/tlenri3hqfT+XkRKCkRKKzU+bo6ITXX7+gocGByaTdB1WF/n4/HR12hEsiVmGhkaOjCxQFXWmEgYEz0tMtNDZmANDcnMbp6RmvvLJLZqaF9nZ95e6NjQuMRk3BuK0tV/eb3y8zN+cmEAihKFGamrL4whc+oAM2KysrHBwc0NLS8tyAzeTkJJ/85Cf5jd/4je8ZsAHweLRvbGZm5jP3GRwc5EMf+pBu24/8yI8wODj4Xe3bczeZ5++1eZekgr+rCMVvxZ4XqViSJILB4DsmDgP84R+O8k/+ySOdm9nhkGhuzkEUzUmhqIICOyaTxMqKtn193cP6uoeiojQEwcjxcZCaGieZmVYEQUAURRYWfMRi8RMYDCJVVZlMTuqrHGrVwE902+7dszA5qQ9HVVRkMzYWRyl5eSamp/Wgsbk5g76+uJJybq6B8XEAleJilYIChZwckcxMN5ubUfb3FdLSTIyM6L1qgqD/u6wsrodzve02bOsXopwnpHELosrShn6SFCWVxfXkidsfS155mIwREoX0SvMVNlOUOHA59PttbYpsbULzPZmOUpmRLfG6NpVBVFnYSY161lJkLoXDAufzIj3F8TIDV1aRqbCWojwCQJpsogqFGVEklsDOTkvI5jv3m6g89XPmkMjhnAM19Qf/6YrI/aJnh7pqixUWJyXSM9UklWaALAecLoha9e8UYG1uQaSpRuZRTP9JCkUE8k0KV3T7tjKFvkuS78qiiNOu4k0ATRdnArfMKqM3FJkXl0S6uqIMTMQ9R+GIgaLcELMjFrjsUyQiIMsKJpN6LU1wfi5QV6dyeqpy/76X/n4t1nol1ndlg4MKLS1Gxse1d8HnU2hoiLCw4LnOoBofD9LY6GB52Xe9bWgoTGOjjbQ0lSdPTggEZJaXobLSgaJEWVvTUOXuboi9PZWPfzyHoaGd62ynvb0Ae3sBamrSMZlE9vb85OSIjIzEkwbKyhwUFNgZHz+isNBGOBxhZyeA2RzlV3+1iNLSY2ZnZ8nOzsbj8bC/v09rayv2VKJQb8NmZmb4xCc+wT/6R/+If/gP/+H3DNgoisIv//Iv093dTV1d3TP3Ozg4IC8vT7ctLy+Pg4ODZxzxnn2/2bvKc/NWXojnBW5EUSQUChGJRN42sFEUlf/9f3+NX/91PbABKCvLYGzshEePNtnb83Drlo2urnxeeKEIl8vM5qYebBQXO1BVAzs7PsJhmYWFMwYG9ri4iDA2dsTx8QXZ2RINDel0dWXx4Q8XYTIJ1NQ4yc42IwjQ3p6fBGwaGzOZm0vIWqmz6oANwK1bGVxcxCe54mIj6+sxamtF2tsFHj5UuX9foqTEg83mZmfHzeGhj5df9jM+Hsbt1o7NytKDguJiiSdP9MOxoCDhZgkqa5v6PhYWKswt6bfdu6twfJqwrVrhNKEOVUGewloKld7NFN+v4vzUXonN/eTxUJKn8GRKYugliYqISmOxNg7vFij4UniEKnIUDlPyalRWNkX6vinRnSdfr+5Bq3H0LHO7BSbnJdpsyWBkdT35PCu7drrTFOTgsyey+lsKT5+IFD1D28YlqhyfCtxNQRAGqM5SmFsW6apI/XskCsp+yp8Yn9HIxXaLytwNz477RKD+VnJ7OQ4VSwoV6fFxkfycuOvM6VA53rLR2qK/J+vrEjU157pt8/MCH/6wl6GhOImsry9GZ2ccdMoyzM+r1NQYyMtTKS/38vrrHgwGI3l5cdCmcWNsZGRo12I2g80W4/DQR2ZmfL+VlQD7+zLd3RqB2OmUuH/fwksvbQEGurrydX1cWPDg98eoqkrjpnQEaJ6cwcEDmpqyKS9PIxxWcDpNfPWrP86v/donaGhowGg0Mj8/z+bmJjabjdPTU4LBBAb527D5+Xl+7Md+jF/6pV/i13/917+nujW/+Iu/yMzMDH/6p3/6PevD36j9EHNu3vPcfAdTFIWMjAy2trbo7e0lOzub3NxcsrOzMRqTJ8VUFgrF+Lmf+zqPH2/R3l4IwMLCMR5PlAcP8nny5EhXJ2p724vVauTkJMzJSYiSEidFRRoxNhCIcnAQ4fBQT4Srq8tmZeWCYFC7Xrc7hNsdoqenmG98Yzth30x2drxUV5uw2QyYTBJ2u8TZWYCGBhG7PQ1RFDAYREIhgfv3I0QiEQRBICPDht/vpalJJBCQ8Xii5OW5GB8/YfdyaV1ebmFrS9aJ+BUV2dnair8RhYUGxsb0k3NZmU1XnsFoVJmdTdCNaVSYTqihVFGlsjemB0XpGcnPIdW226Uq+wmaiaWFCptHycTJo2M/oPfylOUrbKTwxJTkqWxd3o+VJRGWoK1LxvGMrKrCdJW1FNurC1SWLgm8/d+WaO+WeeIXicQEvN4UBwDZaSoLG9p9G3wiaZyVyzTy6jyFpanU65n5JYmKnGdPOoETPxd+J7dCMvuCoKuUbjKozF4SxYcmJGrqvCycxe+VKKosP9X2fzIhUlimsHem78f9MoU3vmmgsUVmKoXWz9a6SFulzKMn+k/WwLDIvSaZ2XXtGLtVZfuJwOmxQEW5wtpm/DzhsES2Ew6OtdT1O7cURvsljvZVKioU1m6E5KanXdy962N+Pg1RVLl374CXXorR2irpakmNj8vU1UnMzGgDPhAAm03GbPZeK31vb0cpKTGSnw8HB9p7MD8fJjdX070JhQIMDmrvdHq6gZYW53VGYzCo0N/v4cUXszk/9zA+rmVQnp5GGBg44e7dLARBYW7ujObmTJaXz1hd1TxH9+/nEwpFmZvTFjItLdk8fXpEMBjj1i0HX/nKx6+rfrtcLk5PTxEEgaamJgKBAIeHhywuLmK328nJySE7O5v09PS3BE6Wlpb4sR/7MX7+53+e/+P/+D++p8Dml37pl/j617/OG2+88UzdsivLz8/n8FCvE3R4eEh+fv4zjnjPvt/sBxrcvF3OzU3icFpaGl1dXQQCAY6Ojq4r22ZmZpKbm0tOTs4zJcjd7gCf/eyfMzyspXZc/VcQ4EMfKiUcVqipyWJ+3n0dSqqvz2Vjw8fFheZy3trysrXlpaIiHa83gqpCa6vGt/F6owiCwOqq/7rQ3ZVpYSf9y1lUZGd/P8zJSXz1ajaL5Oba2N6+QiMBjEaR8vJMlpbiICoz08jWVlQn/NXY6GB8XE/EyMxMY309vk9JiYmREX3fKips7N3IdrHZ4GmCYNvt214WFrJ1227y4gRBId0J4ShUlSiYjSoGA0giSFGVtirtemQFZBViAZWyXAVvQODMrxF0fSn4L7cKVDYTwl52i8rGYXIZhfzMKBs7yc8+kMJrMDogca9UpqdKZmhbJCbHP/I3M8puWl6aytKNv4f7JZruy+w5BOY3U4OUqmwF93ocHPQOSXR3y/QfSeRZ9e3dtDv5CjMTIiWVClsJ2Vw2s8rqinb9c6sGGu+dMeWJZ+Q0liiM3iD9Hm5ZSM+Nh6eaSxXGX73UiwkKVEsKN5OdJFFl4xLInu4LWEwqoQTV5WAQSFEtXVUFAqcCJqNKJCrQXKbQd0myNosqoqjqinPOzEr09Ghjo+9b2n6hkIAkqbpQFMD+vp2CAoVbtzyMjMiAwOxslMJCmb09jV8TicDOjkJpqcDmpkpra5S5uWMcDomiIgO7u9rY39qKUlRk4NYtge1tDXzk5Yl4vUEcjvi983hiTEx46elxMTR0RiwGra02xsY0t1Z3dx4DA0fXoqHz8xoI+vjHi5idPcHni4eHJyY0UNPYmEdenonXXtskFlMoK3Pyl3/549y+nXG979raGtvb27S2tpKWpj3r0tJSotEoJycnHB8f8+TJE0RRJDs7m+zsbLKysjAYnj2FrK2t8WM/9mP81E/9FL/927/9PQM2qqry+c9/nj//8z/n0aNHlJeX/7XHdHZ28u1vf5tf/uVfvt72rW99i87Ozu9iT78L9kOsc/OuypZSVZVIJJVQSbL9dcrC3+kcNxWHU2VEXQGdo6Oja1Z6bm4uubm51+mSq6tn/K//6zcYGNjVHatlSBTR3x/fnpZm4s6dTLKzbWxsXLC4qFcevnPHxdFRkLMz/axZW5vNzk4Ql8t8mTkl4ffHSE+38uiRHtikpxtxuexsbOjDTJrisN7D1dNTSF+fvg9tbXmMjsZnYbNZwOGw43bfEHirT+NpgkZNR4eLoaH425CZKRIKpRG4gYm6u23091/xbRQyMkLU1QmEw0ZMJuUyZVfF5zfi9cL5mcr5OVRUCKys6L0sN4XX4tcoM78Q32YwqJSVq1jSwJGuYrBBENjzCmTla/ySm1ZX7mdmPTlkczvXw+qevhaU2aQiylp9o5uW41I4vtSPqbyjIJbA0r6I3awS9WiCeIlWm6Uwt5oMYl5ojfLkEC6iyd7DtlyZ0QSekiSqNHUoeDwCKynS3gGa82WeTEpUlijsmgVddfT22zLDj2/cP0mlpCbAmke7J3UOHzNP9eCvvVlm+Eg7piVLZjyhwnhnt8zgpYemrUpm9Fs3qpx3yvTN6/d/WCvT9w2Re00KMymy0B52y+x6BDb7BeQb97Ku8YSZxSzdvrU1MlG/yvKSfmK+qTh8ZT/yIz5ee+38WqcJtFCo16viu1GZvbAQ7twJ8/ixmytZrOJiI7Kssr8fH/9ZWQJmc4hbt2B01HNJHBZobXUwMKAPFdfU2CkqEnnttV1dOLu21kk0GmN52YsoQldXBn19+xiNWlmFpSUvx8fxcNLDh7n09u5SVZXO3bsZ/Lt/9wL5+fHxvL6+zubmJi0tLTgczyiShubJ9ng8HB8fc3x8TDAYJDMz89qrczNVfHNzk49+9KN84hOf4A//8A/flnL787K/9/f+Hn/yJ3/CX/zFX3Dnzp3r7enp6dd9/tt/+29TVFTE7/zO7wBaKvj73vc+fvd3f5cf/dEf5U//9E/5V//qXzExMfEduTrfL3adLfX/84DtOWc0Bbzwc9//2VI/sOBmYmKCrKwsSktL31L7Vxo2b5ZfEw6Hr4HO2dkZaWlp7O1J/PIvD3FyEqK8PIPcXDNHR17298PU1+cxOppMLujsLGZk5BBZVsnNtVFRkY4oCsiyzNzc2bUn58pqa7PZ3g5wcRHVbe/oKGR4+Ain00RxcRrp6WYMBhGLxczqqo/Dw+B1OmldnY2ZGf3jb23NSeLZtLdnMzys99D09OTR1xffJggqBQU29vbiE25FhYWNDSM3NRBffNHOzg44nQpWq4IoKoiihdNTmaOjMCcnAkVFBjY39WCiq8vIwEDiZGSgr8+YsJ/MwECCKvHD5Emrs0tmcDihCrhLRbRAabmCNQPcEVg8FKktO2d2Q68dkmZVCQc1Fd6bdufWBYvryRNEZ53M4Ji+pETXRxTCEow8TZ6sXXYVzz46r8OV1eWdc+YxESmycHyj5pTZqCKdJqewA1QUKJhsKgtHKZSU7Sr+TU2UDqDjvszQaXy/llyZ8Qn9cUW5ChcOAcmg4F0QkOXkyetBp8z2hcDBhICacB3ONBVrkcqhR6TWITN34x5IkkrVPYWFLW1bhkNF3oQLr0BJicKRTyCUAB4NBpWOezJ9r+nHiNGoUFIJq5dkcqtFJc8VwijB5qaZSETf79ZWmbHL59TdHaK/3013t4H+fv1ytaFBYm5O5so5XFd3wPm5wtmZyk35lOJiI4qisrcXu+7P/fsxQiGZqSm9y66728no6BmRiILVKlJfb2Bm5ozmZhf9/W7dvpIk0N2dhSwH6e/Xk8SsVomWlhyWls6pqkqjv1/73nR15fOVr3yMjIy4t3FjY4ONjY2/FtikMr/fj9vt5vj4mPPzc/7Lf/kvZGZm8sILL/Cbv/mbfOQjH+ELX/jC9xTYwLO5mv/P//P/8LM/+7MAvPjii5SVlfGlL33p+vevfOUr/MZv/AYbGxtUVVXxe7/3e3z84x//G+jxO7f3wM0PMLiZmpoiLS2N27dvv+m236kwXzQa5ctfHudXf7VfJ5QH4HQaqazMwmAQkCSRlZXT69VVT08JfX3JqmRNTbksLZ2Snm6mtFQDO/v7Pmw2I1tbycDmwYN8xsdPdIJ8giDQ1lbAyEhcI8fhMFBZaURR7NjtZiRJRFVBEERk2cTFhUwkohCJKJhMEtGoCa9XRlE0jZvCQitnZ0YEAYxGAZMJbt2ycXoKqhpBlrV/NpuVYNBMNCpycaESjaoEAiZ8vnj/2trsOg0RgO5uB/39+vtfU2NhYSG+TZJUMjOtHN8oNGk0qths4LlJHBZUCgtU9vb1H9iWtuQJu7NLZjChL05HhPpmgZhFZOZAvC5S+eCunBKUtFT7GZ9L9vK03dHXy7qyD/fEWA2IrJ0meLxuywyNJ+8voOKMxfD4jJQUKsSKYO8yK+j+LZmJieRjAHqqZOZnRWy3VbYTwk6d1XptGYDuHpn+HYl0u0pgTRO5S7T2JhnRITP4enLBUgCHLUp9fYSBx6mJys11MmG7wNzj5MmvvERhNygQiQo8rJXpfemGZ6dHpu+Jvr8PGmXc6wI7u4IutARQWamwdaRt734Qof+xfNmOQF+fPkMvPV3F4VDJyZGZnj685o6lAjidnQYGB2M8fBiit9d7eS6V7e0o4Rvgq6DAgCgqeDwRiooiLC6GMBoF2trSGBhI9NLaMJliRCJ+FhfjxKqGhgzOziJsb2sLirw8M06nwtFRiPr6dIaHD3XcPbNZpLnZhSQJrK15aG7O4ctf/jBWaxz8bW5usra2RktLyzuepKLRKH/yJ3/Cn/3ZnzEwMICiKHzuc5/jx3/8x/nwhz/8loHTe/bO7Brc/H+/S+Dm//MeuHmu9lbAzezsLEajkerq6r9236s073ea6v2FL0zwla/MMzt7rIt9Z2YaMZtF9vf1JI/KShfV1Zns7PiZnz/VfZza2vKZmjpKAkl1dTmcnkYpKLBjsxnweCKsrZ1z504W09NnujYAuruL6e/Xh6gKCoz4fBIXF/GPtdksUVqaxdJSfDUpCAL19TlMT8e3SZLA7dtZLC3FvTYZGQYEwcrZWby9e/fSkgjBra2m61Xxld29m8H8fLzPTqdALObQha2qq0WWlvTclpYWkfFx/babq+54P2Rm5/TbHA6teGI4YfXf8kBmPGHSvFcbY3ZOmxAsFpX6JgXVAUYnDKYAK4Uuhb1j/WQtiTImWSUYTuQnqOSmqXgvBFq7Ffpu1Kd6cCs1eKrMC7CyGNcdKchVMJbDlkekq1hm4ElqcHMvQ2F2UaSkSMGXJejqOd3Pl5lIqO9lkFTutik40mDg0TPqPwBNt46YXM9N+ZtBUqnNOGd6N4PE7J0r+0hHjFcepeZt9HTKzO6KRFbBfyPdWxRV7jUqPL0MT1ktKhmqyv6uSEdHiKHhZOHOnocy/gg8GdJ/PzSCsB6cdXREWV4+4uQk/mk0GuHuXZHpaf379YlPRPna1/QApb7exPJygFAofnxJSYiMjEiSjEJPj5OBgbNrXaqqKjOxWIDcXCPDw3rRTqtVorU1k6OjAB6Pn4ODeOipuNhOUZGFkZEjHA4DJSXWa3G+n/mZO/zH//g+JCk+Lp8nsLmyo6MjPvaxj9HU1MQv/MIv8NJLL/G1r32N9fV1fu3Xfo1//s//+XM5z3v219t74OaHPBX8ZhhKVdW3DWxkWeFXfuVb/Oqvfpvh4T0iEZnqagf19U6am3MwGIxJwMZgEEhPN/DSS6tMTx9gNKrcv59Nd3cB739/MRMTh0nApqEhl7U1H3t7fsbHj+jt3WN62k11tQuPJ0xraxbd3XnU1blISzPw8GEysHE6JSTJqgM2oGVW3AQ2AN3d+TpgA9DVlasDNgD37rl0wAZAUfTAw+kUmJvTD7eaGoMO2GjXaNMBG4Ds7GRuiSim8GqkeHQZruRttXVKErBJS1OZnUt+HVwZ8f1CIYHRIYknr4kcjAv0lMjcyor3v/JWMrABqLudCthAZUmMI7dIKCzQ95pEq00mw6pikFTmU3BtAPIz9Pd1/0gkuCxQ4VJYSqHjA5DjjKfLb+2K5IdVLJdlDdLtKtMzycfFZIH9RZHwybPXPkVZPuYnsqnIT53e3VytMD3loutuagZiYU6MgW9KlOSlPn5gWKStNKYDNqCF6k4PBdIu0+Fb7yns716J8JmprU1mdM/OiFiE5LTm5eUYRUXx70R6usru7jFVVfr9olHY3FQpK4v35eHDEF/72hk9PXre19OnEaqqbNjtWp+Ki0N4vUFWVmJUJKTC9/V5qa93kplp4P59K7u7p6yv+xkePufBg1xcrvjYDwZlvN4wohgjP19/zp0dP8PDJzQ3Z/PgQeY1sPn85xv4whde1AGbra0t1tbWuH///nObnNxuN5/4xCeoq6vjy1/+Mu9///v51//6X7OwsMDMzAyf+cxnnst53rO3aD/EIn7vKnADz68yeKLi8NstpeDzRfjsZ/+c//yfJ6+3RSIKS0sXSJKF5WUPaWlaTZf6+hwkScBuN1BZ6dSVUwgEokxMHCAIAo8e7ZCVZaWjo5DOzkIKCuw0N+eztORNyopqbMxhbu6UlZVzBgf36e/fZWbmmKambNbXz2lrc9HVlcXduyZKSoxUVGSys6NHD93dhQwO6kX+amszGBrS1+SpqEhjeDiZkDw4mMjRcTE/r18hNzQ4CSRUf75SPL4ySYK1tYSwkBMmJ/XHZWerPEnwULhcKlMJac6SpLKwkGLiTjHX3qtTkngcABubydvu3VVY3xDpe01id1SgJUOmoVimICs1EEizpB5XVkmfzz02IWHdU3lfhcJFIPUxOylUiY9PBdLPVFym1OevztML580titRZFERBpbZIuebaJJpRUgksi5gMz0hhd4qEwyLKmZZRlWiRS4fG+IiByuJkAJNp9OC7EDAEQkiJEs1AhhPWnkgpU+h390Tqbyvk5yqM9cafsaoKnLjNZLr0x1RXh1hcVMhLAFIej4DdHsFsVpAklfLyE7a3IwwNRenpERP2VYnFIDsbHj4MX4ei+vuDdHUlA5yiIiN37gQ4Owtxfq4SCMDWlkRbm37fqSk/tbUS0WiQQCD+zRoZOUOSTLS1aVmDHR0ZzM0dMz9/zuTkKS0t2ZSVxUN+ZWU2Dg48vPrqDpWV6fyf/2cnv/u7Xbrv2vb2Nqurq9y/f19b2T8HOzs745Of/CS3b9/mj//4j5NkMqqqqmhoaHgu53rP3rM3a+86cPNmzWAwPDMV/Ca/Bt5+KYX9fR8/+ZNfxeeLUlubrfMcdHYWMjPjxufTwkZ9fTs8fXrMrVtOWlsLychISxKyq6tz0te3h6rC0VGAoaE9Bgf3KC52cHoaoLk5i46OXIqKtLBEQ0M2S0tnhEJ6ENfeXkh//wE7Oz5GR48YGDhgYcFPXl4GU1PH5OcbaWhw0tWVzYc/XICqQn29g+JiC2aziNNpxOMREpSOBQwGiw6QSJJALKYnDFssIltb+vuUk2NgYkLPDyopkVlb03MxqqoiuhRx7RqNSaDo7l1D0oRcW6skcS0aGxVOTvTb0jNUnqbwVESiyWOlqlJhJ4VysPMGfUBRBMbHJKYfSbCv0lYmk1hte3Uj9dgKBpPdSvuHIhcrYbpLokm/lT9DVwfALsHRnMCdvGRAf3GavP/YE4nOHIWgJ/m3K7udrzK/INKSmwxMjAaVlRlt/G5sijQkeG9KCxSmxrW+hsMCsQQAlO5QWZvR1JDX1mzcK9KHdgBqSxVWlkXuVaX27AwOSTSWxwgmjI/DQ4Hy8njV89bWGMNDUU5PISdHRpL07S0twf37Ybq6/ExOxoH6wECE1lb9/d7ZUbl/P8rUVByYqioMDgbp7NS/z4riQVVVbLY4EI/FVEZHg/T0pF+Xb2hpidHXd8zsrJemJjM3+bdud4TRUQ8f/3guGxvnurDz+LibnZ0A3d25tLS48Ho1r64oCvz9v9/IL/1SY0Lfd1hZWaG5ufm5ARuPx8MnP/lJCgsL+a//9b9iMqXmXz0Pe+ONN/jEJz5BYWEhgiDw1a9+9Tvu/+jRo+tF681/P1Qqw++J+P3g2bM8N8+DOAwwPX3E//g//hm7u/GwTXq6gcrKDHJynDx+vEUslvDBL3USiyk8fqzN/loByixycqzYbCa+9a0EVAA0N2cxMaFlUd1UK+7pKSYWE7h/P5ejowCrq+coCrS25jM+fpykhNzdXUxfnxaiOjgIcnAQpKDARiQi6HRvBAHu3y9mfz9EXZ0Jq9WAwSDiclm5uFDIybGhqpoaq8tl5fBQpqHBhKKAosCtW2lsbCg4nfEPemmplZ0dBVEEWY4SDocoLs4gJ0dT3RVFAUFQsdnMWK1nxGIRZDmGwWBEVa10dJgRRen6mgwGM21tEWIxgWhUJBQSCYcFHA64uIif15jiO3vvnsLAkN7rY7MpzM4nvwr5uSrLK4lbVVbWksdMYb5C7yV3pLJKIaNMYWxD4k6pzOJicgitKE9hZSM1UFldkTg5M3Kn5pQt0gnGtOOLM1TWUx4Ba2sCHo+A+lSktlFmbl87JtupMpPCewWwMCtyr/zZJRX2Vi/FAAckuj8o039DXK+5SmHkRvr20LBE9/tk+i+v9VaGyqYaP+/GpkhnZ7yoZX25Qt8NLtTMpIt7rVFm17VVv8MeZvSS6zM0KNHRk0ywrq2R6XsUJScnyvGxHiiPj2t6Nk9nRDY34uGomRno6VHo69Pfk2g0hiTpAZaiwNxchJoaIwsL2uBrb4/w6qvH3LtnYXlZJnQZAVNVGBrSPDgDA0Gqq72sr4eIRlUKC02Ul1tYX4+Hy/r6PDQ22nG5Ijx6dHp9vsnJMOXlBvz+GEdHWhZie7uVl17axGYz0NOTx/Dw0XXxzVhMxe+PsrNzQW1tDsvLJ/ybf9PDpz+tT6TY2dlhaWmJ+/fvk5GRwfOwi4sLPv3pT5OZmcl//+///Zl6X8/L/H4/jY2N/NzP/Ryf/vSn3/Rxi4uLuvBbbm5qjth79oNl7ypCMWisfEV59gf5ynZ3d9nd3eXBgwfX254XsHnllTV+5mf+UkcaBi1zqKWlkKGhXaxWA7W12ZjNEisrZ2RnW9nf9ydp1ZjNEg0NuYyO7pOebqa6OgujUWJjw0NBgZUnT05IvNympjwWF70Eg3EIbbMZ6O4uIBxWCQRibG56OT7WQkM9PUX09SVWBjZQWOhkeVkfGtH21S/1793LYGEhoMvCKimxcXQk6KoRFxVZOTkRddvKy61sbaFTLK6uNrOUUBepudnOkyeJ/BuJ6Wk9QmlqMjI5qQcid+5ILC5q7ZlM4HIJFBZKGAwmzGYRFZFgUMR9LJGRBdMJgoE1tacsLCfXVCq5pbC1re/n3Rq9Zs6V9bQnp5vfrVUorVf45kAycOpplukbTG6nplxm4QaRuLAgSCxH5iiQRrkjxPp2Mln2TonM4g1tnzS7Stl9hZk9ie4qmf6+5PMAdN+T6X8s0fnBuObMlVWXKCzdKHUgSSplDR5WzzIAaC6QeZKQWWY2qZQ3KGy5RQzH4PUkv18dD2UmVkTSAyrHCbW68vJUomlw6hXoqo8y8Eo8vGGxxHDly+wfahOoIKjcLvaxsmSgslJmc9NGNKpvz2BQef/7A3zrW8mLnPZ2keFLKYDiYhWvdx+fT6GpyczEhH4cZmVpoeT09ChLS0eEw9p70NRkZW4uRmKOw4MH50xMhHXhz/R0ibIyC1NTWp640QhNTQY2N33k5xuZnta70CwW8ZJ/5mFmRq9IfuuWnbw8K2Njbh48yGJy8phIRMFmM/Cnf/pBPvhBvbbX7u4ui4uLNDc343KlIKG9DfP7/XzmM59BkiS+/vWvP7caVG/WBEHgz//8z/nUpz71zH0ePXrE+9//fs7Ozp4boHu32DWh+N97wPqcSb9BL/zye4Ti75nd9NxcEYdjsdg7Ig4D/Of//ISf+qmvUlnporu7iKws7WPrdBq5ezeHoSFNnC8YjDE+fsDAwC4lJU5AoK4umzt34oJiTqeJ6urMa90bjyfM6OgeAwPbVFRk4HZH6ewsoqUlD6fz0itQaWV29kwHbLTtmpDXG2/sMDZ2wPFxgMxMiY997BaCAA8eZFFSYkcQtA9DTU1WErBpaMhmcFC/enU6jZyfywnp5eB02nUgBiA/Py1pW2amjUQHWqoqw9FoMgBQlOT9fClkhbOy4pNsJAKHhyo2m8joqEpfn0x/X5SJ8TDRaICVxQh3bgfpag/S3HhOUaEXsyX5w1xVmQxsALKeUUj4LEVtqPk5kYUBkZYcmbKE0M7ZaerxZzfpSa97+1aCa3Y6ygIpgQ1ATsL3xecXWBsXaSiS8bifPc7PL9PoRx+L3C/TP6ScBJ6LLAscrzopyVYozFaYHE9R6DMi4N0ReFAtpwQ2ANNjIg8b5CRgA1o4qSxDIculMtmfUEAzZMCoKhiNWj9rq89ZuRThW1mRePAgOYuyrk5mctJPbm7y+m1qSqGmRiuQabef4vUqKAosLkaoqtL37eREJScnSiBwdg1sACYng9y7Z+Cmw6K62svERJiODn3Yx+ORmZ0N0N2djtUqcO+eyOjoKUdHEWZm/Dx8mIsk3cwIg0hEJhazUFWlf8Db237Gxty8732Z+HxhIhGFjAwTX/vaR5OAzd7eHouLizQ1NT03YBMMBvnc5z6Hqqr85V/+5d84sHmr1tTUREFBAR/+8Ifp7+//Xnfnb9beC0v94NkV5+YK2Fx5e94ucVhRVH7t117nP/7HcQAmJ+OekAcP8nE6Layvnycd191dzODg7nWqJ0BOjo26uhxEMV6S4abd1L25CkWJosCHPlRKKCRjsQRZXfURDGrXVF2dxsrKeRLgKS/P4Fvf2tFxZzQPTxE+X4yenhyCQZnj4zCyrLK7G9WBGICaGhcjI3rA092dR1+fHhi1tWUyOqonFjc2OpPKMzQ02Jmc1Huv6uttPH2aKFJoZmZGfz2lpQZWV/VkRYtF5skTmUScfnKSIo26UqS3V2BxEVgEMJOZqbC5JNN8N4jdIXLollheE8lLGZKCtRSFJ3NzlKSio4BW22hZZGNd0+DpeUFmal/EYlWTin1e2fZWcr8vfAKGczMPq2R6l5N/X16MAfrtgYDA+YpAVk5qx2xRjnKdHRaLCSwMi9S2yMztSBgNKvMTyeDD6xVxHSlU16nsKanXRXsHInduKUllD64sGALfroDdriZlQQFMjEt8/GNRXppLzpDb2rTS1S0zNqNwsKM/tr9fpb09xPBlGrjNpnJ8fM7xscrduxHOz006TlYoBKenMj09YV57LQ4o/X4Vjyd6WTpBu3eZmSqHh2cYDBqQPjmJA8EnT4I0NlpZWopSXOxjfT1ELKaFnTo6tBpRV+rGsZjK1NQFDx9a6O2NJxMoCvT2nnL3bjrBYISzswhFRSKTk5oHVZIEenoKmZ4+xuvVGmttdfD48dHl/6fxa79WS319GqqqXn/f9vb2WFhYoKmpiczMZ6Dyt2ihUIif/umfJhAI8PLLL39f69cUFBTwn/7Tf6K1tZVwOMwf/dEf8eKLLzI8PMz9+/e/1917z77L9gMLbq48NzdLKbxdpUy/P8I//aeP+OIXp5J+u3Mnk7U1D263RlIrLnZQVpaOxxMmI8NMb+9O0jF2u5HFxRP29nwYjSINDbk4nSb29rzk52ekFPRra8vn0aPtax6PJAnU1LjIz7dyehpEEPQr7/r6bGZnz3XAhv8/e28eH9ddnn1/Z181i6SZ0S5ZtmRZu6zFki1nJ3EWbKdAAy3Q5Cmlz9MCD0ufFt4XQilbWV4eoBRoKSUsDaSxHSdktR3biSXLsmTti7VYm7XvGmmk0Wzn/eNYIx+fcWIHOwvR9fnwIZ4558yZ0Znzu+a+r/u6gKIiF0ePSiMh9HoV6el21OoAqamifw4oMJl09PV5iY5WMzsrEo20NBPnzklJTFSUWhKMuXZ+brd88fL7NYC0+qJQaAApuTGZtFz5EyEpScfgoLQCUlCgprZW+nfdtAnOn5e9NIMR8piysxVUVSlobAAIASEcDgG1oKA4X0Vbl5rVVXG/7G1BOjrl5CIjXWByVH7sxHiBvh7xv/1+BVUvq3A4BErvCPL8qHzxTnIuMdwnz7ACmJlQ0NmppGxnkNYZZTjeITPZT3drZK1DikugvkZJ0Y4gjVe0ndJdAiOd6/9eXlEw1q4kbUuI2BiB+mORW1lDFxUkx4iTRcGg/O+bszXEiSNqKm8NUhXBUHB7fojaKhWlZUHqIjwfEyPw6gk/BQXQ3Cz/jE5Xq9hRPkztmRjZc42NAZKTF7l4MYqCgiVqasTvRGdniIqKADU10uOlpHi5eHEBsxmWLrukJydDpKQEiYkRzSfj4xdpbxdJxebNWgRBYHZ2/Tpsbl6hsNDD8HAgrIUBOHPGTV6eiZGRVWZnA1gsShITgxw5MsHmzSZCIYH+/nXy39m5RGKijh07ojh2bP0eEAwKVFVNER2tZdeuWJTKAKdOidXehAQjX/1qIVFRy5w5cwadTofD4UClUjE4OHhDiY3P5+OjH/0oMzMzHD169IaJkm8Wtm7dKolb2LlzJxcuXOD//t//y69//eu38MzeRKyNgt/oY74D8I4jN9dadVEqlfj9fubn57FarW+Y2IyNLfH+9x+iqWmCmBgD6ekW5ucXGRxcIT/fRUfHtGQ8e3h4kclJD0VFcbS0TFFenoAgQGfnNG63j+zsWEZHF5mfFxd4vz9ES8skWq2SggIX/f2z7NwZh98v0NU1h9vto6IigdraMUn1JxgUUKsV1NVN4vH4USggKclAbKweQQgxM+ORTVGVlsZRUyM1BgNxnLy2VrR3HxwU7/KZmVYGB2dZXRVv4gaDivh4A3FxGlwu0GiUgJJgEGw2I/39ftRqDQsLQZaWQpSVWampkZKYHTss1NZKH8vPN9LSIiU26ela6uul30ibTSHT5ABMTmq4cjrJbF4FrpxEU9DWFmGMWv5xEBcHJ48DBDGbAxQVKvAF1RjNka+9+au0mEaGI72egosdKgrigswJCoYm1q/L1DgdwxHiwRNdITovpYOfPa0iMyuE2yYwPq/EaVFeNQxz6IIXr9dExxklxRVBzl0WbnkxQgVqbk6B/qKA1nh1GV5RToiqV9Xs3B3kdJucnJgv+edUvaKifHeQM1eYA/ouyUfqzqqovCVI1RVRGdu2+ql6VQyXTEhQMjoqfd5iWaWnW0tWVoDz56W3L59Phc8XZNu2Bc6cWeFy48CamsAlR2JxH5cryIULc8zNhSgs1NLWFpRM4A0NBcnIUJCd7eXUqfXKzoULPjZv1qJUBpmeFr9fycleenr8uFxa1GoV4+Pr13Nrq4fERB35+Vp8Pg+dnYuXjuPBaFSxa1c01dVihSYuToNavcKRI9NkZlpQKJC4FM/OrqJQBBgeXqKkJJbZ2VWeffZeUlPF6kkwGGRmZoahoSHm5uZQqVSMjo7i9/uJiYmRjWhfD/x+Pw8//DDDw8O8/PLLN6zF9WajrKyMqqqqt/o0NvAm4B1Hbq4FgiBgMBhwOBw0Njai0WhwOp24XC6sVus1E6Tm5gk+8IGnwhNRMzMrzMyIN7rbbkthedlPXp4zTFwArFYdKSmWcLvpzBnx/zUaJffcs4mVlQBu92qY3ACYzRrS0+1h7c3YmEgw1Gol99yTzvKyn6ysaM6fXxcX5+XF0te3gMfjv/SeYXh4Bb3ewNRUgIUFHzabBqdTg1arQKvVceHCooQgAezencCpU1KxsdWqYXmZMLEB0UAsIcFMVZWUDeTn2zlzZl4ynRUfr6WnZ5zERBU2mwG9XoVOp0KnC7B7twJBEElRIAAWi5ItW4J4POB2i60Kp1NPX59UrJ2XZ+TUKSm5KSxU09QkfT8mEwwM2JDDA0h/aaanC3R1ya+FyyvtS0sKztSAUuknfTNUlgYYmVDTPyR+dRLiQnR0yo+xOT3EhW45oXY6Q7S3KwiFlOj1AgX5c7SOWAmFlAxFaEkBbEoWGLmw/u/u80ocDoHsrCA9PZFJe1pikIF2UQuxuqqguUpBXpmH1iET21KDdEaIdgDwrcLFdj9RphCLHvm4meIS5zx9SkXl7UGqLiMvLqdYKVpD41kl2dlBOi6Rqm2ZIVove93TVUqKtouBnSD6F9WfDQAKZmcVZGb60Ot1eL3rx8zOXuXMGQGNZgWHw8jUlPR9TE8r2bZtiQsXkAl9q6t9FBUFaGrSERc3R3OzeD01NfnYsUPH2bMBiR+Qy+VlenqZqCgFi4vr19mFCz5SUzUoFEGUylWWllbxeEL09XlxuTRkZBjo6VknRIuLfmJifNjt0tvt8nKQ6upZiouteL0BFhbcDA6KlZzubjdKpYJduxy0t8+zsOCnvFzU1QFotUqOHLmf+Ph1vYtKpUIQBNxuN4WFhWg0Gqampujr66OtrQ273Y7D4cDhcEhCLl8PgUCAj33sY/T29nL8+HFiYuRVs3cKmpqaiI+Pf6tP483DuzgV/I+K3AiCENbYAOTm5hIKhZidnWVycpLGxkZUKlU4wdtms121oiMIAk8/3SMR+YEo9KuoSOLkyfWxbY1GSWGhE5tNz8LCKo2NE1cejrKyBI4dGwhrWjZtspGYaGZ52c/ysp+WlknZPhUVybz00kD43xaLmB5us+kYHHSHic0a0tNtzM76WVgQ7+rz837m5/1s3mxhYMDD0lIQh0ONy6XHaNRjNhtoapqXHEOhUJCebqexUaqzKSiIloX3mUzqS3lS0vO2WARR10IgTAwrKx2cOCFNPS4utvDyy9LX37zZwMDAClu2qDCZVGFipFZDRYWS5WUlCwtKJiYUqFQqxFbSOgoLtVypGYyKCtHdLW/3uFxB+vqkXwGdTqCtTbYpBQXQ2Kigt0cA/OTl+TFGqdDplYxelH+N4l0CFyKUVDIzBSYnxWvO61XQfNZO5tYgzk1+qqoj/7KeGI1cAUpMgDRXiIkIYZjJDhi47N+BgJKOWgNZRbOofACRWxXJcW6aGmxs3RpkRBBYusxDJs4ZoukyLU71SSU7dgepvTTdlZkSYuKysffVVQWTF5XEO0OMTSoxX2H0FwopuNCtJC0lxMCQkqwMP1Wn1l+vuxvKylY5e1ZciDdtCnD2rEgaJiYEtm1bwe02htuGABUVPk6eXGTHDh21tVour94IgoK2tiDFxQOyyIXa2lV27dKH86MKCgRqamYJBmHbNj0jI0Hc7vXzHxz0k5Liw24P0dy8XiGdmPCzuBiktDSKurpFzGYlSUnBsNN3RYWd5uYFlpfXr9vJyRV0Oh/JyUaJwWYoJFBdPUVMjJZ773Xy0kuDgOgI/uyz9+J0SgnKxMQEbW1t5Ofn43A4ALDZbGRkZLC8vMzU1BSTk5N0d3djMpnCRMdisVz1B18wGOR//a//RVtbGydOnHhLx6iXlpbo7V0XwvX399PU1ER0dDQpKSl84QtfYGRkhF/96lcAfP/732fTpk3k5OTg9Xr5j//4D44fP86RI0feqrewgTcR77hR8GAwGNGc71qEw6FQiLm5OSYmJpiamkIQhDDRiY6Ojkh0gsEgBw5Uc+zYCG1tXtRqNQ0NchOorKwYpqaWmZlZYevWaJxOE6Oji1y4ME9lZTJVVRdl+yQnRwEK3O5VsrJiUCigu3uO2dmVq4ZpFhU56eycwesNYrer2bIlGrVajcfjZ3R0lelp6bRNSkoUy8sC09NSEe+mTXqGh1fx+wViY3UkJUVhNuuwWAz09CwzNLQcrtzExuoANdPT0pbSrl3xVFfPSx7bskVJb690sXU6dXg8ajye9Ru6UglpaVH09UnPq7w8hjNnrnRQjqK6Wvq+0tJ0LC1pcDjUWCwqtFo1Pp8KtdpAQ4OalZX1v2Vurpu2NumvTbU6hMEQYHFRusjt2CFQWxshJPIqjxcXBzAYVbS06XEvrr2mQKJLYCSCAeC2bestpsuxe7cPQamgplklSdjelByiP8L2ADsrxAT03bcHOSVp/wgkmiK/vtEYIr/Iy5lz8kk0gHjbCmNj4qKZXxCka0QZjqrYXRzk1BU5UzqdQEZBiN4hJUY/zM7IP6MtGSFUUdDdJE8HB0hJCaHRw/CgVxaLAZCf76alxUVR0QKNjdLrpaxMzdmzekBJfLzAwsJYmDhUVhpkqfEZGQFmZqawWtX090cY6a/U0d8fYHl5lrm5ddKSmaljenpda2MwBEhIWGZ6OkByspG2Nuk1q1DA7t0W5ufdtLRIxfdpaUZ0OiVdXUukpOhYXV1iYkJ8XwUFdubmfAwNif07tVpBUZGZurpJUlLMbN8ey7/8SyXR0VKd1eTkJK2trRJiczX4/f5wmvfMzAxKpTJMdKKjoy/9aBDvfZ/85Ceprq7m5MmTJCYmvuZxbzbWRruvxF/8xV/w2GOP8fDDDzMwMMDJkycB+Pa3v82///u/MzIygtFoJD8/n0cffTTiMf7YEB4F/8cF0N/gcW2vG/7x7T8K/kdBbtb8a65HOCwIAvPz80xMTDA5OUkwGMThcOB0OomJiUGlUuH1emlqakKtVlNQUIBGo6GnZ5Znnunh2Wd7qKsbQxBE47wrtTcgVnR27kwiGAzhdvtob58KV262bo1menq9zXX5PrfckoLPF2JqyktX12y4MlJSEkdLizxMMy3NisfjQ6NRkZpqBRQMD3vw+wWUSjWjo54rto9ift4naY3BWtjl6qXPUEFSkuinER1twu0O4nYHGBtbZXbWT3FxLOfOSY+r14PVamRiQlpRKi93cubMlRlVdk6flgqT09MNDAwg8fVRqxU4nTpGRwNX7G/j9Okr9Ts6WlpEs8CkJDXR0RAIrBIVZaejw8LCwnqFpaxM4OxZ+UK6desKXV3SX8RRUaLt/sqKdPuMjBA9PeICaDZDYZGKrl4dLoeCthb5wpmSEmJoSH5tKhQhnM4AExMKtmYJ+JUq+i6K++8uDnLqFfmxdDoBnZawaHtHRZCmPiWrPgV5mUFaz0ZuO+0o81NXJ1C+S8HpeunCn5q4wGCvtHVXXBKk+VLOlV2NJIV9DVabQOnOAMeev7qm4957PRw5YpAQt8uxZ88CL7+slnnVrD8f4sUXlyI+V1mpoarKQEmJm/r6K32bjGGdjU4nkJg4TV+fj5gYFVFROgYGpLc/rTZIaamb6mr5bXHTJi2LiyFmZ0Pk5nppaVm6tI+C7dttkmtco4GcHAEQGBoSvzOXQ61WcNttdjo7JxkZkd4DdDolZWWxtLTMkpFhoL5+bSrKwdNP34PNFpnY5OXlXXdlJRQKMT8/z9TUFFNTU1RXV3P8+HH27NlDb28vr7zyCidOnCA1NfW6jruBtxYb5OaPgNzcCGO+tT715OQkExMT+Hw+rFYrbreb2NhYcnJyIhKmsbEljhzp49ChLl55ZUhijW6xaNm0yUZz83q7yWrVsW1bDEajhvb2aSYmriQHKnJyHJw7t14Zio7Wk5kZg9Wqo7FxislJ6Y1w0yYrS0s+pqakj8fGGoiLs2I0atBqVUxOeuntXSA2Vo9arZIRnq1bbQwMrEh0NgA7d7o4fVraTkpPjyIqynDJvViN272M2x0kJSWGV1+Vkpj8fKtMMGw2q9DrtUxPSwmLOE4ufR87d0Zx+rT0MYdDjdutlXiOABQXGzl3TrqI5OQoaG8XUCjEUfKEBD2hkA6FwkBNjbSdFB8fZHxcKdFdAFRUhKipkf/9KysDVFVJz0Gvh7veo6TurJ6JCenxy8tXOXNGPtlUWBiQaIf0eoGScgXVDSrio2A0wiRWWWmQs1cQmOycEBPLCjITQ9RURyY3RYU+GhtFR+iduxVU160TkrJ8H2dr5Tqb4lIfGr2KM6eung5eXDzPyIiZ8XF5i87lCjA356akRM3p0/KbYVycn7m5CYqKtJw5Ix8tVihCbN06hUajo7U1Mvm57z4lzz8/L3tcqYTSUhO1tSoqKxclFgYulwqdTs/Q0Po1X1KySH39Mrm5IdraNFxpMRAdHSI/X8HJk/K4iMpKO9XVbhQKMbW+rk783jidOuLjjTQ3r383kpNFgbHFokGpVEiEwyASprIyO4FAkDNnxtmxw8nhw/dgsUj/PlNTU7S0tLwhYnMlBEHg/Pnz/PrXv+bZZ5/lwoULFBYW8oEPfIC9e/eSk5Pzhv3BNvDmIkxuvnSTyM1XN8jNDUcoFMLvXxPRCmGi80b9a66EIAgMDQ3R09ODRqMhEAgQExOD0+nE4XBcdeJgft7Liy/28fvf99DaKhKaCxfmZduVlydSXz+GQgHZ2bGYzVqGhhZYWFglJcVKW5t8fGfNK0cQBFJSTCQnR+N2+/F6g8zOemWtqOhoPXa7mQsXpK6ncXFG0tOtqFRKPJ4g/f2LzM2tEh9vIhBQMjUlLfnn5Jjp6PBKNDUKhYKCAgdNTdKbe35+NC0tKxiNKuLi9NjtWkwmNVqtjvn5EPPzISYmAiwuhqistFNVJf0Vnp1toqNDSqw0GrFqMzIiJUGVlVaqqqSEKS1Nw+CgXP9TWqqlrk66bWqqmqEhSE5WkZysZ3VVR3u7jpIS0QfnSqSkLDE0JNXsqNUhrNYgM1Leh04noNeLtvylpRrOnzcyPa0CBGJjvUxPy4Wc5eU+zpyRv+7ttwfo6NTISBJA8fYg5yKIgtM3B9HrQ3RE8ImJjw8yMR6U+M/kFc7T2uXAahFYXRB1QJFQWnqR+vpEBEFOLgoLvTQ1LZOWpsDttjA7Kz0vkVSI39nduzWcOiUlMLt2TVNd7b20rY6qKulnvXPnEqdPz2O1KoiJMdN3RfyFyRTCap0lOVlPba18ok6thttv13Ls2Izs+oiLE6/RoaEQO3eGOH16/ftXWmqgocEvGXkvKfHR1bVCerqUrKx/FlFYrf6wB80aFArYtSuWs2cXcDg0hELLjI2J31uVSkFFhYPm5lkWFwNotQry8iycOydq3P7kT1L58Y93EhUVmdjk5ubicrlk5/JGEAqFePTRR3niiSf47//+b86fP8/vf/97jhw5gsvl4ty5czdstHwDNw9hcvOFm0RuvrlBbm441sjNmr7mD41SuByCIDA4OEhfXx85OTm4XC48Hk+4dbW0tER0dHRYp3O1kDivN8DJk4M880wPzz9/gakpsR+/e3cyp07JtTdOp5GUFAt6vZqFhVU6OqbD7aur6XUyMqLxeELExYm+NGNjHi5cmMdm0+FwWOjpmZdsbzCoSE+30d4uXY23brUTF2chEIC5uVX6+hbxekOkp1uYnPSxtCQlFqLhnrQ6YrFoMBrNjI9LydHu3U5OnZJGOeTmWggGVURFiRWlUEiJxyNgMhk5c2ZFsvBG0tpER6vwenUsL0sv2507TZw+LSUxSUkqRkeDsvgKUYshfQ8mE+Tn61Eo9HR16ZmZEQlFerogW0wB8vOXaWmREwhRm7Ou1TAaITdXYG4OenrkUyYmUwhBCMjCQQEqKrx0dgpkZmo5W7fuThwbKzA3S0SfmYoKL21tPrZk6GhslFaJdlf6IpK3ylsFQEVVhPYXiIGmPT1LFBT4aG52cmU1o6hoPjymn5WlZHjYwtKSuE10dBCvd4HlyyQpu3bpqK4Wp3ySknyMj09KogoKCoKXXgdMpiBG4wRTU+LxXS4larWJkcvS0Ssrl6mqWkSjgbw8kyw+ISpKIDp6gehoPY2N8kBSl0tFerqWxsZJvN4rq4Em2tpWWV1VkJsboL3djSCICfaFhTrOnZO2RisrDZcqpFra2qTVGPGzsqLXByNaMjgcOjZvjsLn89HQIH5Py8sdHD78HqKipNfa9PQ0LS0t4fvUjYAgCHzta1/jF7/4BSdOnGDbtm3h51ZWVqiqquI973nPDXmtDdxcbJCbdyC5CQaDrK6u/sGOw1ciFApx/vx5pqamKCwsjGhQtby8zOTkJJOTk7jdbmw2W5jo6PWRrfFDIYHa2hFOnx7m179uo6dHWvFIS7Pi8wUZHV2vZKy1r+x2PadPD4enn9aQlRXL2NgKCwurVxzLcul4AoODS4yMrOXYiNEPjY3SG6pGoyQ720Fz8zrhUasV5OREY7OZCAREb43+/iW83hB5edF0dCzJXIy3b3fQ0CCtxGzZYmZwcFViagZQWBhNU5P0F29ZmZ2zZ5fQahUkJOiJidFiNmtRKjVMTwuMjISYnV0je/KqjdOpYn5eKRv9FasA0s/IZFKgVKolo73iOWg4e1Zc+FQqyM3VYTIZUKsNvPqqfNHfunWBri65KLewMCgbTwfYtcuHQmGipsYk0Z1UVPipqZFtjskUAlbxXOoe7typpKnZyPKyksrKIFVXaRHl5CzS3i6gUkFFhYaqarFSpFSGcDoCjI9H+q6EeM97Vjl61EykRJaKCjc1NYFL56Hm9On17eLjFxgbu9JAUklPjwWvV8nu3YucOiUlFGKryEBtrYHy8inOnLnS1BHKykzU1urZvXuBU6ek10tKiorlZSPT0woyMoL09U2HIz70egVbtxrDY97i+XupqXGj0ynIyYmSJdRbLJCU5CUQUNDdLY/3SEkJER1tpLt7RjLlBJCdLU51BQKwY4eG2lrxu6RSKdi5M5rq6nX7hpgYDVFRQS5eXKaiIpaGhlmWl9c/O7VaQUGBCY/Hj0ajxmTSRCQ2MzMzNDc3k52dTVxcnOx83wgEQeDb3/42P/7xjzl+/Dh5eXk35LgbeGsQJjd/vwC6G0xAVt3w7Q1yc8Px5S9/mfn5efbt20dZWdkbNue7HH6/n5aWFvx+P4WFhVclKpfD6/WGic78/DwWiyXspfNaHhJdXTM8+2wvzz3Xy9KSj9HRJVmYplIptq9Onx5BqYSMDBtOZxSTkx60WjX9/Yuy0E6rVYvLZaK7e508JSaaSUuzYrEYaWycZHxcOtGxY0citbXSsXW1WiQ8LS3rFReVSkFBQQxGo45AIMjk5BJTUwKLiyEKC600NfmuOIaCTZss9PRIdT07dsRQWyv9NavXK4mJMTIyIl1Udu+O5tSp9W2jo9VkZJjRanWEQirm5hT098PKCuzaZaS6Wvp52GwKfD5kFZ5duwyybQHy8tS0tkqrVAaDSDI2bdIhCGYaG0VBbHx8iIkJeUUoNtbLzIxKptkRqzNBlpchLU1JTIyZc+fEayQ31xfRXFAkPdLzSUsDrc7AqlcV0W1506aAxPFWfL8qas4Y2F4UpL5etgsAhYWrNDV5qKjQUlsreu6sITo6yPLyQjj9WjymmupqkeCUlc1x9qz8FlJQoODiRQuBwAJueQEDjUYUAr/yyoLscwSxlbRzp4G6ujlWVuTHT09XMz+vx+Vy09kpvXaMRgVbthhpaQlRUhKivn7dwkCrVZCfH0V9/fo1UFoaoK7OjdmsZPNmE83N0mphTIyC+HgfXi/09kq/qwBbtuiw21epr3fL2l7btkWxvBxkft6HwwG9vetELSHBQGKikbq6GVQq2L49iro6sZ1VVubgmWf2yFpRa8Rm27ZtN8yvRRAEvv/97/P//X//H8eOHbvp0QSvvvoq3/nOdzh37hxjY2OvG4AJ4qTUZz/7Wdrb20lOTuaLX/wiDz/88E09z3cyNsjNOzA4c9euXczMzPAnf/InbNu2jf/zf/4PVVVV4ZDM68Xy8jJnz55FqVRSUlJyTcQGQK/Xk5KSQklJCbfccgsJCQnMzs5SXV3NmTNn6O/vx+PxyPbbujWGz31uB8eP/zm///2f8vWv38r992/BYBDbIFqtkuLieE6fFiMSxDC/eU6duojRqGFuboW8vGh27HCFpybsdh1Op5TYAIyOeggGlbzwwgDj48skJ0dRURFPeXkcd96ZIiM2AGVl8RJiA+LklNcLVVUTnDkzTV+fl8XFVQoLo1CrFVRWmikuNpCYqEKhEMjKUsuIjc2mobdXumiAKCK+kthER6tpapLuPzsbQKNRcurULNXVU3R0TLK6Oklu7hILCyMUFi6QlSWgueSQm5enlREbhQKJeHQNW7aoZMQGoKhIzfR0iLq6Ferrp4iOHqGycpbsbH/EBXnzZoWM2IC40K+1ZQYGQpw756awcIaystWIxAbA7ZZfzwMDYNAvkZzs5kp/H4DERHnVobo6SEG+RxbPcTnUanG/mhofxcXzaLXrx87JWZEQG/GYAXbtWiIuzk9jY+TfRs3NApmZvZLx/8vh98PKygy5uZGfDwQgEJgjKyvy59PXF2D7do/EDXgNy8sCPT3LlJcrGRiYlzzn8wk0NropLxerIZWVSurqRPa1tBSio2OJ8vL1ipxWCy6Xj7a2RUZHlykrkwuejUYlfX1eSkvlrr2dnYssLKxSVmair09agRodXaGubobt2+3cdlt0mNgUF8dy+LCc2MzOzt4UYvOv//qvfPe73+XFF198UzKXPB4PBQUF/Ou//us1bd/f38/999/P7bffTlNTE5/+9Kf52Mc+xksvvXSTz/SPAO/i4Mx3XOVmDV6vl2PHjnHw4EGeeeYZtFotDzzwAA8++CC7du26Jqvxubk5mpubiY+PJzMz84a0t/x+P1NTU0xMTDA7O4vBYMDlcuF0OjGbzVd9jZUVPydPDnHmzDC/+EUTMzPSm3ZZWTxNTZP4fOuLlEqlYPv2OKxWIyMji5w/Pyv55VhRkUxNjdyTR3QlHiU+3kRqqgWVSsnY2DIJCRaqquRmgjt3xkuEliBWXJKSTJJfogAFBTGsrAiYzUoCgSCLiwLT00oyMiw0NEjJTVKSnulpQZYkLlrSS3/ux8VpmZ9HponIy4PW1nXBrU6nYNs2I3a7DrdbTU+PIlw5KCvTc/as/JtZUaGlpka+SG7ZAr290u3F8EQliYlaBMF0SdeiQKUSiIkJMin/+EhOdnPxoryat3t3CEFQ0dxsYXFxvc2Unh6kr09+PgDl5SucOeNn+3YNAwMxzM6K712vD6HTLbGwIN8nKSmEWr3I0pKZ6WmpWDcxMcDYmFtC1goKVFy4YGd1VYHNNh8xogLg/vsDPP+8vFIFYDYLqFSzJCYG6eqKIRiUttG2bg3Q1TWDThciOVlLb6/088nODtHZOY9eryAzU9pmAoiNBZ9vHpdLw8yMKty2vBwVFQF8PoFz5+TVFoUC3vOeKE6enMLnk+8rXlcqKiqU1NRIdWqVldHU1CwSDIpRIdPT87jdgUuvGU1b2wKLi+L3VK2GTZtC9PSskpKiQaVS0d+/fj4KBezYYaWuboLycjEZ/PHH78Jul+qlZmdnaWpqIisri4SEBNn5vhEIgsDPfvYzvvzlL/PCCy+wc+fOG3Lc64FCoXjdys0//MM/8Nxzz9F2mbvmBz/4Qebn53nxxRffhLN85yFcufnsTarcfO/tX7l5x5Kby+H3+zlx4gQHDhzg6aefJhQKcf/99/Pggw9y6623RhT+jo6O0tnZydatW0lKSrop5xUIBJienmZycpKpqSl0Ol2Y6ERyBV1ZWaGxsRG9Xk8g4OTIkQGef/4CJpOW2toRmdbF6TRhMunp7xdXNJtNR2ZmNCqVAr1ey4kT0oBMgMrK+LCF++UoL0/g/PkFNm+2YjBomJ/30dPjpqTERXW1fHWrqHBSUyNdyc1mDTab1GUVIDc3itFRH9HRCkwmLQqFnvl5JdHRpghaHSP9/T6uLMRVVNipqZFua7UKrK5qZJWFysooqqpE0iW29Qw4HAa0Wj3V1UiM4mJjRWv91SuKHnl5Klpb5ZWQHTu01NauE4/UVDVJSWYEwcDp0/IqxNatAl1dckKl0YQwm33MzQk4nUo2bbJQW2u6dP6rVFXJj2W3h1heXgqfq8ulwOWy09JivKQriUyISkvd1NWBzSaQnGyjtXW9OllZuSTTMInnrSQ+3sDJk5GPabOF8Pvnyc3VUV9vlImbd+/2cuqUWH0rLtbS0mKSeNhkZo7RfSmeQmwjmWhpWTuGwLZtHjo7xdc2GEQdTVPT+meyY4eP2lrxekhP17K4qGZqSrjseQW1tTOo1QpKSsycOSO9SKKiwGZbJiXFQE2NVMi+hvvuM/Lqq5MsLcn/Fjk5ZgRBydzcAmNj0mMnJOhxOvU0N89RUmKmrm69LaZUQlaWhqGhAEtLAmVlJs6eFZ/Pzrbz4ov3ERMjrR7Pzc3R2NjI1q1bb5iRniAI/PKXv+Tzn/88zz77LLfccssNOe714lrIzS233ML27dv5/ve/H37sF7/4BZ/+9KdZiMTmN7BObj55k8jNv2yQmzcdgUCAU6dOceDAAQ4fPszy8jL3338/+/bt484770Sj0fC5z30Om83GJz/5yTctJ2Ut1G6N6KjVakkMxOLiIo2NjTidTrZu3SrREo2OLvLii3288MIFTp4cYnnZT0KCGZVKw8WL8nHUnTsTOH16lLQ0K0lJUaysBOnuXiA3N4YzZ8ZluoCiIidtbfMSnx4QTcNmZz2YTEq0WjPDw14mJlbZtctJdbW8RFFeHseZM9JfuTabBq1Wy+SklChkZWno74fERD0OhxGVSsvsbAiDQUdjo7QltWWLgb6+gKwVVFJikGgnQFwITSaVzEOnoMBIc/MyRqOSrCwTBoOBvj41W7boOHVKvoCXlCipr5c/npOjCSdEX47SUiU+n4/+fgdu9zqZFj1y5C2hnBw37e3S6mJ+vgav18b4eDCiTqWy0kdVlVyftWuXkelpNZ2d8n30+iAq1QIej1jh0WigtNTM6dMmTKYQKtV8xNcCgbKyFcbGzFy8KBcvX05eSkp0tLSY8PlEgmA2C6jVc8zPr19o27draW83s7qqICdnmfZ26XWr10NmpomWFiXl5UHOnJEuWjqdgtxcI+fOhSgshKYmaes0OVlDKKRlZCSEwwF+/wLz8+LnLo5hW6iqWq8cilNtc5fOzUJPT5DFxfULLD9fQ0fHBElJBhQKabUFwGRSkpGhQKdTU1s7L/t8FAq4995oTp+eZH5efr1YrWoKCrRUV88QDEJKip4nn9xNVlYCavV6JXJ+fp6GhgYyMzNv2I8wQRB4/PHH+exnP8szzzzzljr2Xgu5yczM5JFHHuELX/hC+LHnn3+e+++/n+Xl5evKyXq3YIPc/BGSm8sRDAY5ffo0Bw8e5KmnnmJubo6UlBSmp6f5r//6LyoqKt6S81rLu7o8BiIYDJKQkMDWrVvD9ueR4PUGeOWVIaqrRzhwoJvBwfWVSaEQKzA1NfLYhoqKBBYXfdjtBubmfJw/P0cgIJCVFc3Q0LLMXXnzZgujo0usrISuOE48oZASjUbF7KyP3l43Pp/Azp1xMrM/gLIyJ2fPShei6GgtgqBmbk560y8oMNLe7ictzYjDYUCpVDE9HcRoNNDYKK0GJSSomZpSyKaxLq/aXI68PAOtrdK2mNmsYNMmIzabgZERDX19IqFMTVVy8aJPRqaystScPy+vwqSnK+nrE8mbwaCguNhMb68Jr1fF6mqAFbnUiOxsPx0d8mMVF3vRag00NNgkFSaFQiAx0cPwsLyKsG2bgErlZ3razvi49NrJyZmivV1uHFhZqUehUHPqlLw6BbB9e4CGBjcxMUocDrskgdtkEtBopOQlP19LX5+ZpSWFhPhcjvx8LRcuGImOHuPiRXnbWKMJsXWrgvHxANPTsqdRq2HHDhODgwsMD8sJg9OpxmLRY7WucO6c3M14164oampWKC/XcPq0lJwnJqoIBFRMTKhISFDh9c6FXYWNRhX5+TbOnBG/a0olFBVpOHdubVw7lvPnPczPr/89d++O4tSpEWJidGRm2i61thSXPW/n1KlRUlLMbNli4h/+IQ2l0s3y8jLR0dE4HA50Oh3t7e1kZGTcUGLz5JNP8olPfIKDBw9yzz333JDjvlFskJubgzC5+ZubRG5+vEFu3jYYHR3lPe95D263G4vFwuDgIHfffTf79u1jz549REXJhYJvBgYHB+nt7cVut7O4uIggCJIYiNebBuvsnOGll/p56aUBgsEQ1dXyVlRZWRznzk1I2lpGo4YdOxIAFSMjy/T0LIQrOi6XHr8/wOysdPGNixPN/i7PqdLplJSXuwiFFPh8AkNDK4yNiQum2LqSEhuAHTuc4V/Na7BY1CgUShYWpIt3aamN1lY3mzeb0ethaSnA9LSRzZstnD0rXUCjopSo1QpJJhBAfr6BlhY5w7iSCKWl6UhONqPVGnn5ZXnV5sqW1Bpycjy0t0tbn1ot3H23hcZGLSMjV+pNBLq65DoQgOTkJS5eVOF0BrDbbXR1iZYExcUBzp1bjrhPebmfM2e82GxKtmyxU1+/1tYIkZrqYXBQ/hVXKgV27fLR0mJkYUF+jeXmLtHWJr5Xo1HBtm02zp0T32NlpZeqqkhieQ1er4n5+QUWFiLfVrZvX6C314DbHfm6LisTiXZbW+QFa/fu4KVASTm5EZ9X43b7aG6OTNpuvdVER8cMU1Py/aOiVGRnW5ibW6C7W06OysujaW9fpqBAS1WVVIzvcOhIS7NQVzd/yZ9J+j3MybETCCjo6lq8ZGIp/gCJjzdy9Oj9bNokLhIej4epqSnGxsZYWlpCr9eTmJiIw+F4Tc3eteLw4cN8/OMf53e/+x0PPPDAH3SsG4GNttTNQZjc/PUCaG8wAfG54d82yM3bAq2trTzwwAPs3r2bn//852g0Gpqamjhw4ACHDh1icHCQu+66i3379nHfffdhtVpvus24IAh0d3czNjZGYWEhNpsNQRBYWFgImwYGAgFiY2NxOp3Exsa+ZkUHYHHRx/Hjgxw5MsCRIwOMji5RWhpHY+MkgYCUNCQnR4mpzZfiHGw2HRkZNjQaJQsLi7S3X1mG15CQYKWnR3ozsVo1REVpGR5eX+ycTgO5udEEgypmZgL09nrCouEdO2KprZXfkCoqHNTUSAmPTidWV2ZmpJdoTo4Ft1sgKcmEQqFmeDjE0FDw0q9ledUmN9dAW5uU3Oj1YvtqZkZK4MRohyCpqXqcThOdnUpmZhQkJiqZmAhxZWarxRLA6w2FWzJrUKkEHA4FMzMBysqi6OszMTYm/v3EtoucJOXnK2hpkRKY7Gw/Q0PxJCZ66OqSOxU7nQJzc0v4L1uri4qUtLY6yckJ0twcmUTt2BGktnaB5GQ1Go2Nvr71aysnJ0R7+/wV7wcqKqycO6fDaJxnZibylNNdd8H58zA8LH9OpQricLjR6zWsrhoYG5P+XZOSFExNzV6qBFqprg5d8byf8fE5AgEuEQQ/l1dD4uOVLC3N4fWGKC21y2I7DAYF8fErBIMCSqWK/n45Aaqo0KJSwZkz87K/NcCdd9qZnPTQ2hp5Ub33XhfNzROMjsrJtEIB992XSEPDJGNjK8TG6nnppfvJyrJJtltYWKChoYHU1FT0ej2Tk5PMzMyg0+nCAZc2m+26bTCeffZZHnnkEX7zm9/w4IMPXte+NwvXKih+/vnnaW1tDT/2Z3/2Z8zOzm4Iiq+CDXLzLiE3X/rSl9BqtXzxi1+UkRZBEGhra+PAgQM89dRTdHV1cfvtt7N//37uv/9+oqOjbzjRCQaDtLa24vF4KCoqwmiUm8Fdnnc1OTmJ1+sNEx2HwyHpy18NbW1TvPzyIC++OEBNzUhYUxMXZ44YqKnVKklI0DAwsEpMjJ7Nm21oNCpGRjzExESF7eDXoFBAYWEMjY3SdpROpyIlxUpPj1jGV6sVbN5sITHRTCCgprd3mdHR9YWlsNAuM/YDcSqlqkpa+VEoYPNmM729V2p4TERH6xEENX19QSYmxPdaVGSUtbTEY0duX135uFqtoLDQjMNh5siRoEw4K3qkyL9CYpVn/XW1WgWlpVFMT4uC6SsNB4FLnizyBTcnB9RqgeZm+Y2ksjJIVZX8/W3ZosblMskIwhoyM5fo7hZPwmRSkJ1tp+5SztT27R4aGiJXPh54QMfzzwciCnCjo2F1VZxwcjisnD9/5ftbpr5eJFsul5qoKBO9vcJlz/uor1+vmFRWWi4Jq8UsrPT0WS5cWK/KFRXp6ejQXBJYCxQUBCSRCJWVIsFZO9edOxXh1qnZrCItTUNbW/Cy7Y1UVYnThdu2RbG0JHDxovey1zPT0jJNKCSwa5dDZsKXlxdFd/c0KpWS7dtjqK2dlLRNS0tjaGiYRKNRUlkZxz/+YwlFRbGSz8jtdnPu3Dk2b95MSkpK+PFgMMjs7Gw44DIUCoWJTkxMzOveD1566SU+8pGP8POf/5yHHnroNbe92VhaWqK3txeAoqIivve973H77bcTHR1NSkoKX/jCFxgZGeFXv/oVII6C5+bm8rd/+7f8j//xPzh+/Dif+tSneO65597yttrbFWFy85c3idz8fIPcvC0gCMI1ERRBEOjq6uLgwYMcOnSI1tZWdu/ezf79+3nve9+Lw+H4g4nO6uoqTU1NKJVKCgsLr2lkXRAElpaWwkTH4/EQExODy+V6zbyry7G05OOVVy5y7Nggra1z1NRIJ6ZUKkhP19PTI/+lv2tXAt3dc6Sn21Cr1YyMrDAw4KGyMi68GFwOUdB8ZbaOgvx8B83NYnXG5dKTmmpGr1fj86moq3NLJqQ2bzYyOLhCICC9PIuKTDQ2yplBRYWNmpr58L/T040kJBjRaLRUV3slZMJoVGAwyKs2YrSDIHOhjYlRsbwsjrdv3WrhwgUlY2MqjEYBjSYka6UBZGYqw+Thctx6q45gUEVrq46FhfVrKSVFwfDwckT/nIoKBTU1yxQWGpicNDI6KlZZdLoAGo0nHHUgfX0Vw8MeCgps1NRIr4/CwhBNTfOSx0TRbRRTUzq6uiJXJYxGMBg8pKbq6OnRsbgo/S6IQaLuS9sqyMmxUVcnbhMVFUSpXGJhYf2PHBWlZPNmC01NIYqKoLFR3sIsLTXR1qZk+3Yh4tReSkoIt9tMRoYQ9quRvlczQ0MCGRmqiL5OO3faqKvzsHWrnvPnpyTXm8mkoqDAzunT86SnG5iacrO4uH7NJCYacDr1NDbOkZ5uZGbGzcLCegktJcWEy2Wgrm6aggI7nZ0z+HwhDAYVTz+9h127pO7Ca8QmPT39NVO41yq8a0Tncp2Ow+GQeXWdOHGChx56iJ/+9Kf8+Z//+Vsefnny5MmIIua/+Iu/4LHHHuPhhx9mYGCAkydPSvb5zGc+Q0dHB0lJSXzpS1/aMPF7DWyQm3cJuXkjEASBvr6+MNE5d+4cFRUV7N+/n7179xIfH3/dN4mlpSUaGxux2WxXTRq/Fng8njDRWVxcxG63h4mOTicXj0ZCb+88x44NcezYEK+8cpHUVC2dnZF0KQlhfcDluO22FFZWQqhUSkZHlxkYEKtAFRVx1NTI1aCit06kkXIHNTVTGI0qMjKsWCw6FhZCCIKS1lap7sFu1wAamRA5KQlGR5ERgx07bNTWzmM0iloKrVZLV1eQ7GxTxPbVtVZzlEqBnBwDSUlWXnzRJ/N5KSzU0NQk/yzNZgUqVYCFhRBWq5K8PCv19Rq8XgW7diHL0QJwOhXMz6+EvViMRgXbt1s5fVrDjh0Bamoit53KyuDs2ZVLn4OJzk4jbrd4nvn5HlpaIldm7rlHw9mzMCcPvaaykjB5SU/X4vebuXgp9iwhAWZm5iRJ7UqlGE/Q1hYtIT6XQ62G8nILQ0NLDA1dbZRdz/T0csQ2EkBWlopAYIXe3sjfx4ICIwqFL2J1EKCkJAqfz0tLS8SxMXbujGZx0XvVVtRtt8UyPb1IW9t8xOdvvz2O+fkVGhtn0GiUPPHEXdxzT7Jkm8XFRc6dO0daWhppaWkRj3M1rOl0pqamWFhYwOv18uqrr/K+970Pr9fLn/7pn/KDH/yARx555C0nNht4cxAmNx+9SeTmVxvk5o8Ca0nhhw4d4tChQ5w5c4bS0lL27dvHvn37SE5Oft2bxpq7aHJyMps3b75hN5mVlZUw0VlYWMBqtYa9dF7PbXktT2tsbBKfL4GammmOHbtIS8sUgiCOdtfWykfH8/Ji6epy4/OtswmHw0BhYSxeL1y8uBImOwC5udGcP78kq8KUlsZQVyefsKqocFBXN0dqqo74eBtLSyG6upYpLIyRVGfWICaKX9lig5gYLWNj0gUzOlpDaqoRk0lHf7/AyIhYSYiNVePxhGTTYVer5uh0YLUq0OmUpKZG0dysZPHS2pmfr4pIHsSsKylhc7nUbN1qob4+IAmXXN9HGVG8m5OjQ69Xc+6cvNTjdK4yPS1N/05MVGOzWQEl7e0RmAuwZYuSCxcWiI/XYLFYOH9+/e8VFQUqlSc8Xg1gs6lIS7PS1AQVFT6ZD9Ea7rgjitraJTyeyLea3buVCEKImhp/xDDQ4uIgFy+uEBtrpKND+rkqlQJbtwr09S1TVGTjzBkpQVSpBDZvDjIw4KWszC4jWGo1bN2qoK9vie3bY6iunuVyHY9GoyAzU8vQ0BL5+dGcPi01yoyKUhMXF2JkxENxsYO6uhmJKWVamgm328vs7ColJQ7+9//O5U/+JF1yDmvEJjU1lU2bNkX8jK4VPp+P2tpavvGNb1BbW4taraasrIwvfvGL3HLLLdfUzt7AOx8b5GaD3Fw3BEFgdHSUp556ikOHDnHq1CkKCwvDRCc9PV1GXEZGRjh//jxZWVk3zIQrElZXV8NEZ25ujqioqDDRuVLXEwwGaWlpYWVlhaKiIsk45dTUCq+8cpGXX77I0aNDjI2tL65paRbm5gKyME+nU49CoWBiQlxcHA4D6elWdDoN8/PQ0iL91RsXp8frDTE/Lz1OaqqRsTG5JqWoyE4gIGCz6ZmbE+jsXCEYlLej1iBWT+QTMaIQdX1xz8w043Qa0Wp1HD8uJxFXr+aYqKpaf09ms4rCQivBoI6aGjmxEcmQwOSkXKVaWallbGwVi8VCY+P6tWO1KggEViKSgooKDXV1brKzFXR2WiUGeeXlyBZ5EFuPd9+t56WX/BE1M6WlIerqxM9A1AjZqK4Wt9u9G0nW1+XHvOsuC0ePuiO21ACKi2FlJcjUlCac7r2GxEQls7OzrKyEKCiIYmhIydzc5WZ8amprJy87p2iqq9dZ4O7dOklFsKLCTlPTajiPqqgoINFcZWSomJvThn2QxKyx9XZVQYGN6ekgIyPeS8eLkphVbttmJRhU0N29hFqtIDdXS1PTeqUyLs7Apk1WzpyZxuXSo1CEGBsTX/8HP9jJxz62nrQNYjW3vr6elJQU0tOlpOcPQV1dHe973/t4//vfTyAQ4Nlnn8Xn83Hffffxla98hc2bN9+w19rA2w9hcvPnN4nc/NcGufmjhiAITE5OcvjwYQ4dOsSJEyfIzs5m37597N+/ny1btvB//s//4eLFi/z0pz990wwDQfwFd3kMhMlkChMdrVZLY2MjKpWKgoKC19XsdHTM8PLLF6mqGqazc5ELF6RERa9XkZZm4fx5aUVApVKSkyOGcLpcBjZtsqBQqLh4cQW7XU9r67xke7VaQVycRublYjAoiYnRS5yPzWY1BQXRaLVqent9XLy4zobi4nS43QGJ2BPA6RTbLf4rOE9Kip6xsVUyMszY7UbOnw8yMxPC6VSzuBiUBTfq9QosFpiclJOn7dv1qNUq3G69pPIRqWoDYLMpCQRWwi64hYVmlpaM9PYq2L1bGdEvRqkUSEwMcvGi+PqpqVosFjOtrVya6vJEnPRJTfUyOOhj82YlKytWRkfXCc7WrSq6uuZl++zYEcXoqIbZ2aWr5kQVFgpoNEo6O2Fp6UqNlJrGRvG6cDg0OJ1m2tvXT04ccV8nTQkJOqKiTHR1BbDbFSiVbmZmpJ9zRYWNpiYfKSka+vpmZF5HmzYZUKl0WCwKGhsnZZVHMQVcj8GgDHvVXA6jUcX27TEoFCFOnZJrypRKBRUVDlQqP6++Km/ZAuTlReNw6Dh+XNS2ffnLxfz93xdKtlkjNmvV3BuFxsZGHnjgAb74xS/y2c9+FoVCQSgU4uzZszz99NN86lOfumHZVBt4e2KD3GyQmxsGQRCYnZ3l6aef5tChQxw9epT4+Hg8Hg//9//+X/bv339DEszfCPx+P9PT00xMTDAzM4MgCBiNRnJyciLGQLwWVleD1NSMc/z4MC+/fJGWlmlKSlycPSsXa1ZWJsn8QMTH4xgYWCQlJYpgUElvr4eZGR+5uTrJ9Mr69g6qqiLpdWLD+p6UFCMpKVF4PAq0Wk3EcfM1l+IrUVpqpa5ufXu1WkF+vhWXy8SxY8v4/VcKZ6VVmzXk5Oglzrv5+VGoVCY6OgTsdoHxcTnj2L1by6lT0mMplVBZaWN4WEFfn/zzKC1VUVcnJUoKBVRUWFAq1RInXun7D9LcLJIlvV4gPV1NR4foo1NYGKSpKbKPzl13GRgaCtHdLT+X7ds1NDSIQuCkJDWhkIrRUdEPR62GpCQfAwPrlSy1WkF5uY2qqgAlJSrq6+V/V51OQUlJDMHgKmfORG6hbd1qxGYTZCnza0hO1rJ5s4aTJ+e4vM20hrQ0FWbzCgMDQZYidNNKSqwsLa0AKs6fl1fudu+209w8RX5+DGfPTkpatAaDik2bjHR0zJKVZefBB7fwxS8WS/b3eDzU19eTlJR0Q4lNa2sr9913H3/3d3/H5z//+Q2NzbsUYXLz0E0iN09skJt3Jebm5ti7dy8jIyPk5eVx9OhRkpKSwhWdgoKCt4TorPln2Gw2VCoV09PTaLXacAzEG/H3mZ5e4fjx4UtkZzg8Xl5RkUBNjXzhKi6OpaFhWvZrOj9fj9FoYXVVzfnznrD2paDARkvLfITICHu4InDl411dbrKzbWg0Wrq7V5mZCVBUZKGxUb4QpqUpGBiQfwXS0vRcvOhFr1eQn29nbk50J7ZYlKhUIebm5EQlL09La6u80nL33Xbm51XU1QUl4mObTUkwuCKx/V/D7t0mzp1bpLjYRn09YZdjpVIgNnaZyUn59ZOcrCIQ8JGcbOHsWekxxaws+eeVm6shFFLS0RG5KpOcrGJ83INCAWVlNom3jEolkJISkEQT6PUKtm+3c/q0n8pKtaQFeDl27oxiYmKZCxciC6KLiw2o1X46OnwRP5/KSj319dMUF8dSXS0lH6KQWUlb2zwZGTrm5pQSx2ObTYXJ5GNkZJmYGC3JyXoJsUtJ0TAz48HjCV4ijS66upbCYbZiztl6xSYhwUhqahS1tROX7BFsnDsnXvsf+lAmP/vZ7ZLv1RqxSUxMvKH6u87OTu69917+5m/+hi9/+ctvCrH513/9V77zne8wPj5OQUEB//Iv/0JZWVnEbR977DEeeeQRyWM6nQ7vleFwG/iDESY3718AzQ0mIH43HNggN+869Pf3c99995GZmcnjjz+OyWRicXGR559/noMHD/LCCy8QGxvL3r17efDBBykpKXlTiM7k5CRtbW1s2bIl7J9xZd6VSqUKEx273f6Gbo6dnbOcPDnC8eNjnDgxysrK+q/9lBQzCws+mV7HalWiVmuYmRF/4Wu1SrZts2OzGfF4oL5e+us7KkpNVJRGZpRmNKqw27WMjKw/rlRCXp4dp9NIZ6dXYtuvUEBGhonubjkhEUe5pYvqli0msrKsvPqqB7f7yvaLkcZGeTXHaFRgNML0tJ+0NANxcVbq6kS/nMpKbcQKkNWqRBCCuN3iZxcXpyEtzcqZM0Gys1fo6Ij8dykv14QjAoqLoxgZ0TI+Lp5nTk6A9vbIlZmSEg2CoOLcOXllprhYyblz659PUZGYNTU9HaKyUiPzIVrDrbdaOX9+iYkJ+TFB1Bn19y9htRro6JAublarEp1uhcnJVZKSDFgs0m2Kigw0NU2ECe/27XYuXgyGXYd37zZK2kliCzOG6uoFFAooKNDKsqkKC+3MzPhZWvKjVq/KHIyjojSXEu8DNDdPyMTxAJs2RZGdHcXzzw8iCLBnTwpPPLEHtXr9+71GbBISEtiyZcsNIyDd3d3ce++9PPLII3z9619/U4jNE088wUc/+lF++tOfsmPHDr7//e/z5JNP0tXVhdPplG3/2GOP8b//9/+mq6sr/JhCocDlct30c323YYPcbJCbG45jx47x3HPP8d3vfjeio/Dy8jIvvvgiBw8e5LnnnsNisfDe976X/fv3U15e/rouxG8EFy9epKenh5ycnKveSNbyrtYEyQqFAofDgcvlwm63vyECtroapLp6nJdfHuHVV8eYn/fR1yetnigUkJNjizhGW1oaR13dNLGxejIyrIRCCrq6PGzbZos4bl5ZGUtVVaQxdEdYdJqREUVcnImhoQBJSSaqq+WVhS1bFBJzuTXExenCPiaFhTYWFpR0dPhQKAS2bNHQ0yNvB4muydLXSErSs3mzlcZGL253pKpE5LZXamqImBgjDQ3yhSs9XcPAgFTUazIpKSqys7qqpK4ucgWlrEzP2bPic+XlovHeWmZUenqQvj75eHZMjDjh1d6+IPGtkR5XxejoChaLmY4O6TGysrR0d08TColtqoqKGKqrl8IiZ5GkrWthVCoFO3fGcvq0B6tVhVq9LAtitVo1ZGXZWF0N0tw8Iav0AeTkWElI0HH0aGSdjNmsYteuaKqqJvB45O8rOVmDWh3C5Yri7NlpmYBabJ+OsmmThbIyFz/60S0Yjet6tuXlZerr64mLiyMjI+OGEZC+vj727NnDQw89xHe+8503rSq8Y8cOSktL+dGPfgSI95Dk5GQ++clP8vnPf162/WOPPcanP/1p5ufn35TzezcjTG723SRy8/QGudnAa8Dr9XL06FEOHTrE008/jU6n473vfS8PPvggu3bt+oPHNgVBoLe3l5GRkXDEw7XuNzc3FyY6wWAwTHSio6PfMAEbG1vm2LFhjhy5yLFjF3G7g+zc6ZQZ/gHs2hUf0bRtxw4HS0sBoqMNjI356O0Vqwq5uVY6OhZkC86mTSZGRlYkmggQx8QTEsTQzP5+X7iio1JBXJwqPCJ+OXJy1BIxLIiVn8zMKI4fd8uEx9HRavx+P4uL8mPt2hVFX5+H9HQbZ8/6wyJnUcTsk42kw7rWpqzMxsiImpGR9W2Ki9WcOyfXhiiVAuXlBmZmFHR1SasRGg3ExYW4eHGdKDgcGlJTrdTXr5KVpeD8+cj6nbIy8PsDdHYq8Xqli2lhoY6mJvFvJxKTGE6f9hEMijqctLRg+O+2huxsM0tLKpxOJfX18usBYOtWM/HxGk6elF8XAE6nqLPp7l5kZiaSVslKc/MkZWVOGhrmZYLzigorNTXjOBx6MjLs1NRMhUlSbKwWWGF6WiRqiYk6nE7zpWqdgl27HFRXj156L9EcObIPu33dc2qN2LhcLjIzM28YsRkcHGTPnj28973v5Yc//OGbRmx8Ph9Go5EDBw5IohP+4i/+gvn5eZ5++mnZPo899hgf+9jHSExMJBQKsX37dr7xjW+Qk5PzppzzuwlvR3JzPS3Mn/3sZ/zqV7+ira0NgOLiYr7xjW9cdftI2CA3bxP4fD5OnDjBwYMHOXz4MAD3338/Dz74ILfccgtarfa1D3AFQqEQHR0dzM3NsX37dkwm0xs6rzU31DWi4/P5iI2NxeVyXVPe1ZXw+Xw0NDSgUqkJBBJ5+eUxjhy5KNHhbN1qY2BgmdVV6QLvcunx+ULMza1XAhISjGzZYkWhUHH69KxkckahgG3bLHR0yLU25eUxkurA1q1mNJogJpOZ2lr5KHd2tpGODnlbx2BQYLEo8HqD5OXZGRwMcvHi2pixmerqedk+aWk6hoc94dZGXJyOzZtt1NX5KSkxcvq0/HxNJgU6nT+cVK3TKSktjaa5OURamvaqBnO7dhmprp5BqRTN6Jqbg2ENS2Wl4aptpfvus3PmzDKzs3KSlZYmMDS0SCgEDocSp9NKe3vw0nkpcDpXJbEFAJmZJgIBPYmJyohmjgAJCVq2btVx4oQ0QXv9vVioq5tix45YamrmJBNhKhVs26ajrW0eg0HB9u0Oampmw2Q3Pd3IxMQCHo+4U1ycgdRUC7W1s5c+i2iqqqRhl5s3W7Ba9XR3u4mPV9HTMy87p/h4DSkpRurrFwgGxdbryy/vJyHBHN5mZWWF+vp6nE7nDSU2IyMj3H333dx999385Cc/eVN1fKOjoyQmJnL69GkqKirCj//93/89r7zyCrW1tbJ9ampq6OnpIT8/n4WFBb773e/y6quv0t7efsNSzzcgIkxuHrhJ5ObZ6yM319vC/PM//3N27drFzp070ev1fOtb3+Kpp56ivb39mu1UNsjN2xCBQIBTp07x5JNPcvjwYbxeL/fffz/79+/n9ttvf11zPr/fT0tLC36/n6Kiomt2LX49CILA4uJimOisrKyEYyBiY2Nfd6R8eXmZhoYGLBYLubm5kpvx5OQKx44Nc/ToMK2tC3R2yieIcnLsEUWxa9Ufs1lNdnY0CoWKzs4l8vNtEdtUVxMjO50aVlYEtmyxoNXqaG5exusVUCrFOIieHjm5yc0NSSa8lErx+AaDjtraRdmYMkBxsZFz5+RkpLjYgsGg5exZuc/P1YhITIyakhIbR48uybxroqKUaLU+ySi106ll0yYLvb1+/H5vWNdzOSwWJVqtn1BIIDPTzpkz60RFoRBIS/PS3y/VLmVnq+jrM5KXp+Ds2cgTTFu3GomLU1NVJY3aWENpqYG6ulny8qwsLAQZGlp/3fR0PWNj7rCGa/NmMzqdho6OpUufj0U2mZeREYVOp2FoaBm7XWBwUD4WlZ1tIy7OwMmTw4RC8r+VSgW33upienqFlhb52Hhenp3z5+eJjdXgcqn49KdT2b49GafTidlsxuv1Ul9fj8PhYOvWrTeM2IyPj3PPPfewe/dufvazn92UdvZr4Y2Qmyvh9/vZtm0bH/rQh/jqV796M0/3XYe3G7m53hbmlQgGg9jtdn70ox/x0Y9+9Jpec4PcvM0RDAaprq7m4MGDPPXUUywsLHDvvfeyb98+3vOe98jM+TweDy0tLeh0OvLz82+qI+la3tXExAQej4fo6OhwDMSVlSa3201jYyNxcXGv++s1GAxx5swUL7wwzIsvXqSzc4Hdu12cOiUfKy8tjaWuTk5gMjIsREVp0es1dHV5wgu82azCYtFGTG0uLrZz7tw66YmKUpObG43FYuCll+RkKCVFx8SEvMIEkJurZ3lZIC4uioaGFbxe8WtWWGiS5TqtobDQSFPTAvHxehISDDQ1QTCoJDFRzfS0J+LrlJdHcebMLOnpRmw2kyTw8rUqM3v2WOnq8tPfL9fUiAGS6wt5YaGV6WkVw8MBioqCNDbKBdjie9YQCPhlgZkgkr7MTDXnzy+SmRmFIEg1SuL7WG9H6fVKSktjqKmZQ6VSkJyspLc30vi7g1AoRG1tZJ2NQgH33OOgqWmW8XH5VM6WLVGMjS2SnW1namqFgQHpa4haH9GrJi8vBoVCQUuLeL1lZFgZH19mcdGP2azhmWfuJSVFEU7xVqvVBAIB7HY7+fn5N4yATE5Ocu+991JcXMwvf/nLN53YwBtrS0XCBz7wAdRqNb/97W9v0pm+OxEmN3tuErl50crFixcl5Ean00X8IX0jrpXFxUWcTidPPvkkDzzwwDWd5ga5eQdhzYhrLcF8YmKCu+++m/3797Nnzx7Onz/Phz/8YX74wx9y1113vall6uXl5TDRWcu7Wpu88ng8NDc3s2nTJlJTU6/71+vg4CLPPz/Mc89dpKpqIpxunpBgwOMJSMIKQbTMT0uLCqeSK5UKcnLsWCx6NBp1RM3Gjh0x1NbKf5nHxelZWgpgt2tJS7PQ0+NnfHxNVCySkSuRm6ulrW29ymO3q8nJiaa3N4DBAP39cmJVUhJFfb2UiMTFadm8OQa/X4hYDTGZlJhMApOT6wSlsNDK0pKaQEDB6Kg7nEl1ObKyDHR3z6BSKdixw0FTky9sIrhli47+/gWCQel+BoOS3FwdXV0ruCMUZi4nLyUlNi5c8EmchktLNZJgS5VKQUVFLA0Ny9hsKhYXlyWhlGtITzeRkWHgpZfGZM+BaPoXDHpwuXS0ta3KNFe7d9s5dWoUg0FFSYmTxsY5lpbE14mN1aHRCGEHYZVKQVmZk6GhJUZGPOze7eTUqZErX5Ls7Giio3V0d88xOelFq1Vy4MC93Hnnel7U8vIydXV1YYIjCAKxsbE4nU5iYmLeMCGZnp7m/vvvZ9u2bTz++ONvaZzCjh07KCsr41/+5V8A8f6UkpLCJz7xiWv+NZ6Tk8N9993H9773vZt9uu8qvBnk5kp8+ctf5h//8R9lj9+IKt/f/M3f8NJLL9He3v66nYs1bJCbdyhCoRCNjY0cOHCAQ4cOMTg4iEqlYs+ePfzwhz/EZrO9ZQZeXq83THTWJiNcLhcZGRmSmIc3Arfbx5EjIzz77EUGBhYjVm0qK10RzQO3b4+hqWmWnBw7Wi10d6+wuCgucsGgINHyrOHKao5SCYWF0TgcRl5+eUbmBGwyKbFYlIyNyasExcVaFAots7Nq+vrWKyw6nQKHQ8nwsHyfwsIoJidXSEuzcfbssuT1xGgIeWVGqRS9dZqavDLjQIVCYOtWtcSYzunUkZ5uo7bWw7Zt662eK7FtW5CVFTUWi5GWFmn1RjyX9cqL1aohN9fO6dNuUlI0jI4uypyhARIS9OTmmjlyRP53BCgttVBfP8GOHQ4uXPAwNbX+N9LpFLhcgXDg5pYtFsxmXbgyVlpqo65OSopiYnRkZUXT0jJLUpKRzk55RU6jUXL33fG0tExx8aK8ShUdrcNsVqJSKYiPj+LjH8/jAx/YEn5+rRUVHR3Ntm1i3MKabm1qagqv10tMTEw4xfta9XRzc3M88MADpKWl8cQTT1y3Du9G44knnuAv/uIv+Ld/+zfKysr4/ve/z3//939z/vx5XC4XH/3oR0lMTOSb3/wmAP/0T/9EeXk5W7ZsYX5+nu985zscPnyYc+fOkZ2d/Za+lz82hMnNXTeJ3By79srNH0pu/vmf/5lvf/vbnDx5kvz8/Gs+zY0UtXcolEolxcXFFBcXU1BQwCOPPMJdd91Fd3c36enp3HHHHezbt48HHnjgDXvWvFHo9fqwl47b7SYhIYHl5WWqq6uJiooKV3TeiMjZYtHy/vdv4v3v34TfH+LVV8f5/e+HePbZIcbGVi6FH8qJTUyMjqEhD6GQQGurSAhUKgWFhdHEx5svBSZKcaXoGMTk8f7+RQYHF7DZICsrmqEhP0NDIlkpKrJE1Pm4XBo6OlZYWREXy61b9ajVJtrb/ZSVWTh1Sr6PRqNgfn6V0VEvo6PjJCUZSE62cvbsMqmpemprI493l5RE8eKLYrWisjKWlpbV8Mj5zp1RVFdLp5EmJ1eZnJzgnntiGByMnMydlQWdnT7AByyzY0cMg4MBxsd9pKXpqK+Xnv/Cgp/q6kmysy3ExKgZHIx4WOLjgxw5cpGiomjm5gQGBtYJXmKijq4uMajyzJkpTCY1u3fHcPbsHKurITIzobV1/Xx7e8XKUFFRDDqdmpYW+XUwM7NKdfUot97qwu8XUKsVMs+arKwojh7tIxgUKC+PY3JyNWxhYDSqcDp1nD8vXi9/+7cFEmKzurrKuXPnsNvtbNu2Lfy9s9ls2Gw2MjIywinew8PDdHZ2YrVacTqdOBwOWZt5/fNcYN++fSQkJPC73/3uLSc2AA899BBTU1M8+uijjI+PU1hYyIsvvhi2mxgaGpJUj+fm5virv/orxsfHsdvtFBcXc/r06Q1i8w6FxWK5Js3N2uDJxIT0+zgxMUFcXNxr7vvd736Xf/7nf+bYsWPXRWxgo3LzjoYgCHzve9/jK1/5Ck888QT33nsvgiDQ1dUVrui0tbVxyy23sH//fh544AEcDsdNJzqXj6AXFRWJvyBYz7ta0ySYTCacTiculwuTyfQHnZcgCNTVTXPkyAhPPNFHX590LLqoKIbGRnnbaU2MrNMpyc+PAVQ0N7ux2XSsrgZlLS+A8nI7Z86st7YUCsjPjyYmxkh19Syrq5FExFGcOycnUNu2qdFq9bS1BWSJ2GJLRd5CS0oykJNj49ixeZkwNypKhdHoZ2JivTJkt2vIyYmhv9+P2+2J2P6Ji9Pi8XhYWgqwY4eD/v4gExPidmYzGAxBSdUExIW+uDia+XnfVae1KiutVFePU17upKfHy/T0+ueZmannwoW58HtQqxUUF9vp7PSzshJk82YN58/Lj5uQYCA1VaCmxk2kqSq7XYvZrCAx0cTwsIfhYWn15fJ2U2KiidRUK3V10/j9AunpJmZm3BKjSYUCtm934vcLqFRiXhXAP/xDCY8+Wh7ebnV1lfr6eqxWKzk5Odd0PXu9XqamppiamgpnwDkcDmw2G9HR0SiVShYXF9m3bx8Wi4VnnnnmmsvyG3j3Ily5uW0B1De4chNww8nrFxRfbwvz29/+Nl//+td56aWXKC8vj7jNa2GD3LyDEQwGeeSRR/jUpz5FSUmJ7HlBELhw4QIHDx7k0KFDNDQ0sHPnTvbt28fevXuJj4+/4UQnFArR2dnJ7Ozsa46gBwKBMNGZnp5Gr9eHKzrXm3cVCS0tsxw+PMjhw4M4HPqIbaqUFBPT06ssL0sXe6tVQ3m5i9FRH62t0gW0pMQmq1KAWGVJTjbhdvvJyrLT3+9lZEQkGDt22KitjTz+nJ0dRUfHIna7goQEDX19KlZWIDlZx+TkSkQR8c6dNk6fniI52UhSkpWzZz1hgiCOn0d+rVtvtbO6qqC2dkESAwFi3MHl5MtgUJGZqaerS0VhoVFWwVrD7t1W+vrcJCVFyXKe8vPNtLVNh6eQzGY1hYWx1NW50elUmM2BiMJus1lBUZGRmprIAaApKSrGxjxs2mTBZNJKJt9UKsjJsdDSIr4XtVrU0QwOLjIyssyOHbHU1sr1Oy6XkawsOxcvztPXF5molZfHMTu7SnS0jtzcWH7wg9vCz61VbCwWyzUTmyvh9/vDjuG/+MUveOqpp7j11lsZHh5Gp9Px3HPPvWFLhw28uxAmN7tvErk5df2j4NfTwvzWt77Fo48+yuOPP86uXbvCxzGbzZjN5qu9jAQb5OZdAkEQGBoaChOd2tpaysrK2Lt3L/v27SM5OfkPJhTBYJCWlha8Xi9FRUXX/AszGAwyPT0d1iRoNJpwReeN5F1diZaWKf7t3+o4fnwhrM/QakXRcXe3XB27a5cr3NpKTDSSnm5lcNDL0lIIhSIYjom4HGI1YL3do1QqKCqKRq1W09u7GM4luhyiuZ2UNJjNKrZs0eL1BiJOHTkcWnw+n6SitEZyPB6B1taZiFNDlxOszZvF9PP6erG6VV5u4cwZOfkTP4toQMmZMwuyKlFGhpGBgbmwwDsnx4YgqOno8GC1qjEaA4yNyclLQoKBggI7L7wwQqTKiyiunsTl0mCzaejqCoW3s1gUaDR+yXh7Xl40gqCgrW2BXbtiqa6WJ3lrNEruvDOe7u5ZmUs2gMmkJjHRwOTkMnl5sXR2zjI9vX7ulZUJVFWJJn379qXz61/vQaUSWy4+n4/6+nqioqLIzc29IT8YVlZWeOaZZ/jJT35Ca2srer2e+++/n3379rFnzx6ioqL+4NfYwB8v3m7kBuBHP/pR2MSvsLCQH/7wh+zYsQOA2267jbS0NB577DEA0tLSGIzQy76aaDkSNsjNuxCCIDA6OsqhQ4c4dOgQVVVVFBYWsn//fvbt28emTZuu+wbt8/loampCoVBQWFj4up43V0MoFJLkXSkUijDRsdls1z0B5vP5aGxsRK1WU1BQwPnzixw6NMD58/M8/fSQbPstW6K4eFE+dq1QwO23u/B6oa3Njdu9XlLIzrbS1eWWTRiBGDY5OuohLc1Ge/tiOHAzIUHP3NyqzNUYREJRVzdNXp6F8XG/xIn4ahlWer2SnBwzOp2Ws2cXJBWP6GgNCkVARrCys61YLHo6O2cjtt/sdg0qVYjp6VVSU024XObw1JZeryQhQUFfn1x8XFoai8mk5uRJOckQ318M1dXjZGZaMJl0NDbOh5/btMnI5OS62d7aY1qtit5ePykpoYjj6wB79iQyPOyJGOWRkmJkcXEJt9tHSYmL2VlfeJpOpRLDUdfaTSDmmxUXi/42LpcxTGxuuSWRw4f3otOJ004+n49z585hMplk3k1/CLxeLx/84AdZXFzkhRdeoLu7m8OHD3P48GEuXLjAwMAA8fHxN+S1NvDHhzC5qbhJ5KZmI37hpmBgYICvfvWrHD9+nPHxcRISEvjwhz/M//v//r+vKbTzer187nOf43e/+x2rq6vcc889/PjHP35XB7cJgsDExASHDx/m0KFDnDx5kuzs7DDRuRZH1ZWVFRobG8M3+BvluxEKhSQxEIIgSGIgXm8h8Xq9NDQ0YDKZyMvLk23f2DjDgQP9HDgwwPCwB5NJhcNhkHmdAJKKgMGgoqAgFq9XQW/vEna7josX5QZ/O3ZEU1u7XhHR6ZRs3+5gbi6A3+/nwgU5oUhKMjA7uxJulYkp09GsrgqoVEFaWyOHX4oOu+LinJBgYNMmK3V14ih4aamFurrIbaWiIiPBoEAopKatTapTKi21yvbLyrKi1+swmRQRhdviZxVDbe0EZWVO+vqWJf4yW7dGMTAwLyGPeXl2BEHJwICH2FgFAwPyGAmAigoTbreC9nb536egwE57+xSBgEBeXgwqlTocjmm3a4iKEl2VL0dhoQOFQonBoOL06ch5U+XlLjyeVYxGLX4/PPfcfiwW8R5zs4jN6uoqH/7wh5mYmODo0aPY7XbJ8319faSnp9+Q19rAHyc2yM07lNy8+OKLPPHEE3zoQx9iy5YttLW18Vd/9Vd85CMf4bvf/e5V9/tf/+t/8dxzz/HYY49htVr5xCc+gVKppLq6+k08+7cvBEFgdnaWp59+moMHD3Ls2DEyMjLYt28f+/fvZ9u2bbIb+OLiIo2NjTgcDrKysm6aWFkQBObn58NEJxAI4HA4ruob4vF4aGhoICYmRjK1crVj19RMcuLEGP/+7+eZnpa2ncRqzkJE/cvttycQCEBf3wojI+uLeEKCgaWlFdxuOYHJy9OztAQul43GxsXwccUQUXPEyoPLpSM+XodWq6G+XpqhlZGh5cKFZZnHi8ulp7g4hhMnpiJmVe3aZaO6el1/smWLjlBIS19fgJ07oyNmfgGUlNjx+QIIglImJN6yxczwsBuvV+xh6fUqSkocnD8vujVHRcHwsJygKRTwnvc4GR720NEhr0wVFBhpbhYf37bNjsGgpaFBJC9OpwqPx4fHI32PW7fasVp1eL3esPHeldi9O5GRkSXi4ow0NEyGzxugqCiWtjbRV2nLFhtHjz6E0ylOM/n9fs6dO4fBYIhInN8o/H4/H/3oRxkcHOTll18mJibmhhx3A+8uhMlN6U0iN3Ub5OZNw3e+8x1+8pOf0NfXF/H5hYUFHA4Hjz/+OO9///sBOH/+PNu2baOmpuYNqbH/mLGWKfX73/+egwcPcuTIEZKTk8NEJz8/nyNHjvDoo4/yy1/+8qYSm0jn5na7w146a3lXTqeT2NjYcMxDYmIiW7Zsua7zCgRCHDs2yn//dz/PPjuEUima8A0NyasF5eXOsKuuODEVg16vpbXVzaZNRtrb5aPaiYlqpqaCYXM9u117aZLJS3q6KaILMwgUFlppapq5dAwjaWk2mprcKBQCRqPA5KScRK0RLI1GSXZ2DM3Ni+F22qZNRsbH58NxBpfj1lvjcLsDEdtfcXF6VldXw55ABQXRBAIK2tvdmM2qS2Pf8s/KYFBx220O6upmw+GTl2P37hhOnRoGxIpKIECY5G3erOfiRY8s/DQjw4rDYWJkxB3xNUGgrMzB6OgSqakWmpomJe2unTvjw+7DADabjtzcGAYG3ERFqRkcnGd52U98vImXX36I1FRx6m+N2Oj1evLz828YsQkEAvzlX/4lnZ2dnDhxAofDcUOOey24nlBDgCeffJIvfelLDAwMkJGRwbe+9S3uu+++N+18N/Da2CA3f0Tk5otf/CIvvvgi9fX1EZ8/fvw4d955J3Nzc5J07NTUVD796U/zmc985k0603cmFhcXee655zh48CAvvvgi0dHRTExM8D//5//ka1/72pvqhnw5BEFgaWmJiYkJJicnWV4WqwJOp5Nt27a9Ye0PgMfj5+jRER57rIvjx0ckmppNm6KYmFiRTVoB3HZbPH6/wMTEKr29660QrRacTn1Es75t2yyYTCoCAeUl1+N1QlZZGUNVlVy/YrVqqKx0UV8/Lxn9BtGsLz1dzYUL668VFaWhoCCWvr4VTKZQWHNyObRaBampRnp6Fi6NxqtpaVnTpsC2bWba2uSkraAgGpdLx5EjkZ2E18iLwaCiuDiO7m4Pk5Nr3kA2mpvHZdlO6el6oqJ0DA+vMjMj/8w0GgVZWVbm5rykpVlpaJiWJH3n5+tpaVknPRaLhvx8BwMDbuLijDQ2TkXUSaWnW4iN1RAKCfT3L/DCCx8gJycWEIlNQ0NDON7kRl33wWCQ//k//ycNDQ2cOHHidf0/biSuN9Tw9OnT3HLLLXzzm9/kgQce4PHHH+db3/oWDQ0N5ObmvmnnvYGrI0xuihZAdYMJSNANjRvk5k1Bb28vxcXFfPe73+Wv/uqvIm7z+OOP88gjj7C6Kl0EysrKuP322/nWt771ZpzqHwX+5V/+hb//+79n165d1NXVYbVa2bt3L/v372fHjh1vSdYNiJk7ra2txMTE4PV6WVpaIjo6Ojxi/ocYn01MrPDkkxf47W976elZwOUyyLx0QPTTaW6eDS/UW7fasNk0tLTMsW2bhYYGOaGwWNRYLKqwH0tqqpmkJCutrW7i4w3098/LqhYA5eWxnDkzjkajpLjYwcxMiJ4ecTFfGxePhFtucRAMCgwMLElaaUDEaaPsbDEI1GhUc+pUZJGwSMCGyc2NQaPRSkTCkciLTqeiuNjFyopAX9+MxFdmDQaDksREIwoFREcbqK+flpCR8nIHZ86skymrVUdeXiy9vW42b7ZQXS2PTgDIzDRjsWgJBpU0NU1Lpsvi4owoFAHGxjwYjWqee+59lJUlAOvERqvVUlBQcEOJzSc/+Umqq6s5efLkNace3yhcb6jhQw89hMfj4dlnnw0/Vl5eTmFhIT/96U/ftPPewNWxQW7grfm5fRV8/vOfR6FQvOb/zl8xHzsyMsKePXv4wAc+cFVis4EbA0EQ+Kd/+iceffRRjhw5wrFjxxgfH+dHP/oRS0tL/Omf/ilbt27lM5/5DK+++iqBSCYlNwkjIyO0traSl5dHYWEh5eXl7Nq1i+joaEZHR3n11Vepr69naGgIr1deBXg9uFwGPvGJXKqr9/Pqq3vZv38TiYlSz5G4OFGMfPki3tU1T23tFLm5JnQ6JTk58ptBVpZFYjQ3OLhEdfUIer2fhAQlycly19q0NBOtraKOxO8PcebMBD09U+TnG7nzTsdVfXUyM9W8+uoY1dXjjI0tkZ9vJCtLPKcdO2IijlF3dMyhUPgZG5tlx45oruSuOTkWamtFQW5b2wyNjWNkZOjYsSOatDQjfX0zsqrM6mqQtrYpFhY8bN1qZ+tWm+R5hUIgO9tGb+88PT3z1NaO4XRqqayMw2LRsHu3S0JsABYWVqmqGiE5WU8gsEpubrTsvSQlGRgbW6S+foLGxjFcLjU7dzqIjdVjt+vQ62FszINGo+S//uu9YWITCARobGxEo9HcUGITCoX47Gc/y6uvvsqxY8fedGKzJoq+6667wo8plUruuusuampqIu5TU1Mj2R7gnnvuuer2G3gLEbxJ/3sH4G0Vv/C5z32Ohx9++DW3uXxKYHR0lNtvv52dO3fy7//+76+5X1xcHD6fj/n5eUlb6losoDcgYm5ujhdeeIFTp06Fy88Gg4G9e/eyd+9efD4fx48f5+DBg3zkIx9BoVDwwAMPsH//fm655ZabZhk/MDBAf38/RUVFREevL2gGg4G0tDTS0tLCeVeTk5N0d3djsVjCI+bXm3eVlWXnq18t5StfKeGVV8b4r//q4aWXhrDZdJw/Py/bftMmA21tc2F9y6ZNFhITLXR0uNm2TSrqvRxpaUZOnLgIiInURqOec+fm0GiUqNWCRD+yhtHRJcbGFkhMVJGSYqOpaSEcFJmcbJT4zoRChFtOu3aJ6dogcKX3TEqKie7uWdxuH729CyQkmNi0yU5T0zxGo5qpKXfY62YNPT3zmM1LZGVFk5gYTUPDlETfo1TC5s02Ghunwr4zubl2fD4vPT0r7NoVR1WVtPIyNuZhbMzD7t0JCIJAamoUg4PS6llWlp329slwu3DLFjsul4mmphmiorQEgwGJQ/P4+Arj4yuYTEry8qJZXhZdiP/jP/Zw991pgEhsGhoawnYCN5LYfP7zn+ell17i5MmTpKam3pDjXg+mp6cJBoOyiVGXyyX7IbmG8fHxiNuPj0eu6m3gLUQA8St9I7FBbq4fa0Fy14KRkRFuv/12iouL+cUvfvG6N5zi4mI0Gg0vv/wy73vf+wDo6upiaGhIEua1gasjOjqa06dPX1Wgq9Vq2bNnD3v27OEnP/kJr776Kk8++SR//dd/zerqKg888AD79u3jjjvuiBiwdr24POahuLj4NUuka3lXKSkp+Hy+MNHp7e3FbDZLYiCuFUqlgttvT+D22xNYWvJx+PAgjz/ew6uvjoVbHRaLGr8/JFnY+/vd9Pe7yc+PIRj0UVhovzS2fLnOxhH2VgFobRXFxE6ngdLS2IhRDkql6J+zNhk0NLREVJSGykono6OrqFSwuCgXHuv1Ci5cmGJ83E9iop6kJCstLQusrAQxGlVotQJu93rbaHTUw+ioh9hYPdu322hqkpsagpi7VV8vCq5tNh0lJU7On59namqFnTvjqaqSkro1Lc+ddyawuhrAbFaHidka8vNjqa0dx+cLoVBAUZEDpVJBQ8MkyclmpqbcEh1Ub+8cvb1zJCSY2bbNemkcXBrHIKbIWzlzRvzcPv3pVHJzxclBs9lMc3MzKpWKgoKCG2pz8KUvfYmnnnqKkydPbox2b2ADNxhvK3JzrRgZGeG2224jNTWV7373u0xNrZfg16owIyMj3HnnnfzqV7+irKwMq9XKX/7lX/LZz36W6OhoLBYLn/zkJ6moqNiYlLoOXOvkkVqt5o477uCOO+7gRz/6EdXV1Rw4cIDPfOYzuN1u9uzZw/79+7nrrruuGhb4WhAEgc7OTmZmZigtLb0uUqLVaklKSiIpKQm/3x+Ogejv78dgMISJjtlsvub3azZr+fCHM/jwhzOore3mP/+zjZoaP1FRKpqa5GPITqee8fFlJifFSkpSkplNm0QzQJdLL2u5rCEjw8pzzw2gUikoLXXi8wk0N4vEaOdOKSECkcxUVY2wc2ccy8s+Nm9Wc+HClYTBztmz4pTWyIiXkREvZrOS4mIrOp36qtqdjAwLL700gEajpLzcxdycj64uccKqslJKXubnVzl1agyNRsn99ydz4YJcewSiZumVV4YJBEKXiFkCw8OLDAwskp5uYWDAHdYfCQI0Norntm2bnYQEA83N8pajwaDCbtfx8suiaWNWVjQxMQZaWibxePwUFrqoqxOrDl/+8k7+x//YzOTkJC0tLQQCATQaDVu3bo14vm8EgiDwta99jd/+9recPHmSjIyMG3bs68UbCTWMi4t7QyGIG3gL8C6u3LwjBcWPPfYYjzzySMTn1t7OwMAAmzZt4sSJE9x2223Auonfb3/7W4mJ3+t9Kb/+9a/z3HPP0dTUhFarZX5+/nXP8eGHH+aXv/yl5LF77rmHF1988fXf4B8xQqEQtbW1HDhwgMOHDzM5Ocndd9/N/v37ueeee64pNyQUCtHa2orH42H79u03LEgwEAiEYyCmp6fRarW4XK7ryrvq7+9nYGCAoqIibDYbtbXj/OY3XRw8eCEsmtVqlWzebKWzUz51lJRkIinJSCAAjY1SAW1OTjQ9PXJxcWpqFDk50dTUjDM3J6+i7NoVL2l9iW2xKJqaZikqig6HSF6J7dujaG6eIyPDSCCgord3vaUlRlTI98vJiSE52cKxY8OytG2AwsIY2tqmCARCZGdHYzZraGiYIRCALVssjI8vsrQkry7t2hWPRqPg1Kkx2YST2awmIcFAd/csGo2SwkInfn+I5uZJlEoFBQVOGhrkI/ZGo5pbb01mZGSJlpYpPv3pYr7+9VsAUeTb0NBAMBjEZrMxPT2Nz+cjJiYmbDnwRibxBEHgW9/6Fj/96U85fvz422K66HpDDR966CGWl5f5/e9/H35s586d5OfnbwiK3yYIC4ozb5KguPvtLyh+R5KbNxtf/vKXsdlsDA8P8/Of//yayc3ExAS/+MUvwo/pdDqZ2+i7GaFQiIaGhnDe1cWLF7nrrrvYv38/9957b0RCEQgEaG5uJhAIUFRUdNN0PMFgUBIDoVarw1NXNptNdl5XtsiuzP7xegM8++wAv/lNF8vLgYg6G4NBRXKyke5ukfQ4nQYyM6MZHFzC7w8RCAhMT8srExkZVkZGFgiFBIqKnCws+OnomAfENk5Hx0xEolFe7kStVjA6uiyb/CopcXDu3JhkkigpSYfFokahUHH+/GLEMeqcnBh6e+ex2XRkZto5f36BqSnxnNPTLUxNLcpaYzabhu3b45iY8NDeLm+3WSwanE4tvb3zuFxGMjNj6O11Mza2jEajIDvbRnOz3HAwMdFMQYGTxsYJxsY8sucrK5OoqhK9dT71qe1885u3AuLfvqmpiVAoxPbt21GpVGHLgbV2psfjwW6343Q6cTgc10SwBUHg+9//Pt/73vd4+eWXKSwsfN193gxcb6jh6dOnufXWW/nnf/5n7r//fn73u9/xjW98Y2MU/G2EMLlJXwDlDSYgITf0bZCbPyo89thjfPrTn75mcjM/P8/hw4dv+nn9MUAQBNra2njyySc5dOgQvb293HHHHezbt4/7778fu93O+Pg4n/rUp/jUpz5FRUUFavWb01UNhULMzs4yMTEhybtyOp3Y7XYUCgVdXV1MTk5SXFz8ui2ysTEPv/1tN48/3n1Z9UY0nDt7Vi7KNBpVlJTEsboq0NQ0LXFKjo3VodEgW7y3bLGSnGyhq2s+YvJ2erqFycn1KkleXixGo4aGhmlSU6MYG1vE45FXUNLSzKys+HE61YyPrzI1td7iSk424/EEmJ1dJ2AajZKiIiehEIyOLjI6KicZa+Slr2+BoiInoKSxcZpQSKxybd1qobVV2hpTKhUUFjpwucwcPdofkbxVViZSVTWCUqkgP9+BTqeiuVl0Id69OylsGvi+92Xy2GP3oVQqJMSmqKjoqtfYyspKmOis3eTXHLMj/f0FQeBf//Vf+eY3v8mRI0coLS2NeNy3CtcTagiiid8Xv/jFsInft7/97Q0Tv7cRNsjNBrm5LlwvuTl8+DBarRa73c4dd9zB1772tQ079WuAIAicP3+eAwcOcOjQIdrb26moqODChQts3ryZgwcPviGdzo1AKBQKx0BMTEwQCoXQaDQEg0FKSkquS/sD0NAwyW9+00V//zxHjshTcAFKS13U1YltFatVS25uLFNTqwwOLrJ5s5mOjsjVDqtVG065Xl4WR7oBYmJ06PUKRkbkrr5btthISYmiu3uO4WHp8zExevR6dXg/hYJLY+RBhoeXMZu1jI3J22Ji4rYeny9IUpKF1ta5cItOo1GwbZuVlhYpeXG5TGRm2lGpFJw8eTHi57JrVyLV1SPExOjZti2G0dEl+vpEzc/l5OVyREVpueWWBIaGFmltneaee9J54on3otGoCAaD4arg9u3br5k8+3y+sG5rZmYGo9GI0+lkdXU1HP3xs5/9jH/8x3/khRde2Bhg2MBNR5jcpN4kcjO4QW7+qHA95OZ3v/sdRqORTZs2ceHCBf6f/+f/wWw2U1NT85aZ3L0TIQgCR48e5aGHHsJutzM8PMzOnTvZt28fe/fuJS4u7k2LfbgSwWCQxsZGlpaWUCqVBINBSQzE9fydfb4gzz/fz3/913mOHBkiEBCrM5WVCTKRsAiBO+5IxOcL0tY2x/z8+jSTSqVg61aLLKNp82YrCQkmVlYC4Smmy2EwqEhNtXD+/BwKBRQUONBolDQ2TqLRKElLs9LZKSdSOp2SvDwbCkWIwUGPJApCrVaQl2eTJG6vtZJCIS0Gg5KzZyOLp3ftSuT06REKCpzodCoaGyfCeqPduxMjaoW2bo1m82YrNTWjEfVHO3bEcfbsMIIA+/dn8h//cT8Gg5pQKERzczN+v/+6iM2VWNNtTUxMsH//fgRBoLCwkKqqKp599lnuuOOON3TcDWzgerBBbt7F5Obzn//867oSd3Z2kpWVFf739ZCbK9HX18fmzZs5duwYd95553Xv/25FQ0MDe/bs4S//8i/5+te/ztDQEAcPHuSpp56itraWsrIy9u3bx759+0hKSnrTiM7ar/zLF8PFxcVwDITX6w0THYfDcV2L5eTkMv/9393U1U1w4EBPxG12747j1CmxoqHTqSgsdLG6GqK5eYbt26Mjjoqvtb5aWiYpKHDh9YZobp4GFCgUUFzsor5eLrx1Og0UF8fS0TEny3BSKKC0NDZMUBQKyMtzoOB0rlQAACyVSURBVFRCe/s8W7Zo6eyUt6JAbBsNDrpJS7PS3T3LxMR6oGakyovVqiM3NxajUcXRo0MRj7lGXtRqJYWFLkBJU9MUfn+IkhInTU3jBAIhiovjeO65h4iK0oaJjc/nY/v27X9QZMflWF5e5hvf+AaHDh3C7XajUCh473vfy4MPPsjdd9993f5KG9jAtSJMbhJvErkZ2SA3b1tMTU0xMzPzmtukp6dLBKt/CLkB0cfna1/7Gn/913/9hvZ/tyEQCJCbm8vHPvYx/u7v/k7ynCAIjIyMcOjQIQ4dOkR1dTVFRUXs37+fffv2kZaWdtOIjt/vp6mpCYVCQWFhoYy4CIKAx+MJEx2PxxOesnE6nde1eLa1TfNf/3WeJ57oDi/+O3e6OH1a3nIRn3Pidq8wP6+UpW9XVrrCAto1JCVFsWmTDY1GxfHjkaemxMkocb+8PAcmk5bm5hlWVoIRj7mG225LxucLMjrqZmBASooqKuKoqVnXF6lU4lSTWq1Ap1NddYJrjbxs2mQjISGKnp6F8OdyOXm5HFarjp07ExkdXaK5eZLs7FheeumDREcbCIVCtLS0sLq6ekOJjSAIPPnkk3ziE5/g4MGD3HXXXZw5c4annnqKp556ipKSEp544okb8lob2MCVCJMb100iNxMb5OaPCn8IuRkeHiYlJYXDhw+zd+/eG39yf6S40lE6EgRBYGJigsOHD3Pw4EFeeeUVcnJywkQnIyPjhhEdn88nCU68ltaTx+MJi08XFxfDUzZOp/OazQyDwRDHjl3kpZf6efzxdhYX5VlMhYXRl8wAReTkxGK16mlpmaGwMJaqqsjalcrKRE6fHr0kutVIRMuXV4guh9ms4dZbU+jvn6ejQ/4jYU0Ps4akJB0ul4ne3iXS0gw0N8sTx0EkL93d02RnxzI7uyoZly8udtDcPCEhL6JY2ElsrJGGhjGJmPnyz6G/f4HlZT87dybym9/sw+UyhS0FVlZWwiafNwpPPfUUf/3Xf83vfvc7HnjgAclza5NXV07UbWADNwob5GaD3FwThoaGmJ2d5ZlnnuE73/kOp06dAmDLli1hX5asrCy++c1v8uCDD7K0tMRXvvIV3ve+9xEXF8eFCxf4+7//exYXF2ltbb0h7rwbiAxBEJ1l14jOyy+/TGZmJvv27WP//v1hgecbgdfrpaGhAbPZTG5u7huy4b9yysZqtYa9dK7Vr8ftXuWpp3r47W87qaoS9SPZ2Ra6utwEIxhs7dyZQCgk4PUGaG6ekox3l5cnUFs7KnlMbP84MBrVHDs2QKQ7REVFAjU1ohYoLc1CUpKFnh6xtbRjRzxnz45F3K+8PI5QKEQwCM3NU5Ipp23boujtXZBEOaSmWklJsRIIhGhsHMPrlb/B7OwYBgfdCIJAXp6TQCB0iQQJZGTYmZjw4Hb7SEmxcPToh0hKstxUYvPss8/yyCOP8Jvf/IYHH3zwhh13Axu4VoTJTfRNIjezG+TmjwKRDPkAiUGgQqHgF7/4BQ8//DArKyvs37+fxsZG5ufnSUhI4O677+arX/2qLJMlEt6IaaAgCHz5y1/mZz/7GfPz8+zatYuf/OQnb6n76VsNQRBYWFjgmWee4eDBgxw5coTU1FT27t3Lgw8+SF5e3jUTlOXlZRoaGrDb7WRnZ9+QStDq6mqY6MzNzREVFRUmOtc6DTY0tMBPf1rNs88OceGCfOQ7P99BV9csq6siKYiLM7Fli52RkUVsNh2trdOyNg6I+pvm5imSkqJITjbT0zPH+Piy5Lkr91MqFdx1VwpLSz4aGyclkRMABQWxnD8/FT6XmBgD27bFMjXlRaUSuHBhVjLmvoasrBhGRhZJTbVisWjp6Jhmfl4UC2/ZYmdqapmFBal42G7XU1wcx+Kij9raUeLiTBw9+iHS0+2EQiHa2trweDwUFxffUK+kl156iY985CP853/+J3/6p396w457vZidneWTn/wkv//971Eqlbzvfe/jBz/4wWuaZN5222288sorksf++q//esOY7x2IDXKzQW7elngjpoHf+ta3+OY3v8kvf/lLNm3axJe+9CVaW1vp6Oi4YQ6+73S43W6ee+45Dh48yIsvvojL5QoTne3bt1+V6CwtLXHu3Dni4uLIzMy8KVqeK8eJTSZTmOhcbUFaG5mfnp6muLiY8+fdPP54JwcOdDM1tczWrXZGRpYiOv5mZ0ejUISw2Qx0ds4yO7tODnJzY7hwYYGVlXUPG6VSQV5eLDExepqbp5iZidT+iaGvb4aVlQAmk5rUVD2hkJauLjdZWXaGhuYjeudkZkajVCpwOIz09c0zMrJuKBgfr2VpKSQJu9RqVeTni5Wl3t55RkflI+3JyVGsrgaZnFwmOzuW3/zmvWzdGntTic3x48f54Ac/yL/927/xZ3/2Z2/ZFB/Avffey9jYGP/2b/+G3+/nkUceobS0lMcff/yq+9x2221kZmbyT//0T+HHjEbj23oB20BkhMmNbQEUN/jvJ7hhfoPcbOAPwLVqfARBICEhgc997nNh4e3CwgIul4vHHnuMD37wg2/C2b6z4PF4eOGFFzh06BDPPfccNpuNvXv3sm/fPnbs2BHW0pw6dYrh4WHKyspIT09/UxYsv98viYFYy7tyOp1ERUWhUCgQBIGOjg7m5uYoKSmRENhAIMTx40P8/ve9/O53nZIgSRBHwqenl8LVDrVaeUnMq2JxMcDw8KIkKHMNYotngUBAID/feWk6a4pQSPTHmZpalFVQQKz0mM1aRkaW6O2VRk5s2mRlYWFVopXJyYnFZtMzO7vM1NQK09PyilRCgplgUMDj8ZObG4vPJ7aigkGB+HgzCoWYkG6z6XjuuYcoLHSFjSIXFxcpKSm5ocTm1Vdf5QMf+AA//OEPefjhh99SYtPZ2Ul2djZ1dXWUlJQA8OKLL3LfffcxPDxMQkJCxP1uu+02CgsL+f73v/8mnu0GbgY2yM0GuXlb41rJzdqYeWNjo8TS/dZbb6WwsJAf/OAHN/dE3+FYWVnh6NGjHDx4kN///vfo9Xr27t1Leno6X/nKV/jCF77AZz/72bfk3ILBYNg3ZS3vyuFwsLi4yOrqKiUlJa+p4fJ4/DzzTC9PPHGeEyeGiI834vX6mJpalm2bmmpBECAxMYrl5SAtLdNh3UxaWhSLi15mZqREIzbWQFGRi7k5L/X1cnfllBQLKyuB8Ott2WInLs7MhQtzKJUKAoEQExPyUfH4eDMqlQKn04RWq6S1dRKPRyRpdrsGlQqmp6VVILtdT2Ghi2AwxKlTFzGbtfz+9x+gtDQBQRBob2/H7XZTXFx8Q3VvNTU1PPjgg3znO9/h4x//+FtKbAD+8z//k8997nPMza0TyUAggF6v58knn7yqDui2226jvb0dQRCIi4vjve99L1/60pfeMsPMDbxxhMmN+SaRm6W3P7l5R6aCb0CK8XFxUblSz+NyucLPbeDqMBgM7N27l7179+Lz+Xj55Zf5/ve/z89+9jMKCgro7+/n5Zdf5pZbbrmhwtNrgUqlwuVy4XK5wkSnu7sbr9eLVqulv79fEgNxJUwmDR/60DY+9KFtTE4u8/zzvfzqV60ycpOQYMbnCzE2tsTQkJjY7XSKOU7LywFGR90yYgNii6itbZqxsSWSk81YrTAzE2JsbJn4eDOBQEjyWr29c/T2zhEfbyIxMQqNRoXfH5RUbhwOAxqNkqEhN8PDYovKYFBTVpaASqVgampZVgECCIWC9PfPMTDgJiXFws9/fn+Y2HR0dLCwsPC6ZPB6UVdXx/ve9z6+8Y1vvC2IDYj3A6fTKXlMrVYTHR39mveDP/uzPyM1NZWEhARaWlr4h3/4B7q6ujh06NDNPuUNbOCGY4PcvEl4I6aBG3jzodVqWVpaoqqqil//+te4XC6efPJJPv7xj+Pz+XjggQfYt28ft99++1sy9TY6OopWq6WsrIylpSUmJiZobW1FEIRw6yo6OjqifsjpNPLww/k8/HA+/f3zPPlkJ//9351MTy+jVivDpGYNk5MiKdHp1Oj1anbvTmJw0B3ezuEwoFIpuXhR/PfFi0tcvDQ1Xloaj9Wqo7lZbgoYE2NAp1OHjf/UaiVFRS50OjXDwwtotWr6+uYl+6ysBOjpmSUmxsDEhIfyctGduaVFnIoS4yY0DAy40WgUfOELueTkRBEKhejs7GR+fv6GV2waGxvZv38/jz76KH/7t39704nNtd5D3ig+/vGPh/87Ly+P+Ph47rzzznDsyQbegQgAN/qyfIf0ejbaUm8SbqZp4EZb6sbhqaee4iMf+QhPPPEE999/f/jxYDBIVVUVBw4c4PDhwywuLnLvvfeyf/9+7rrrrpvuNrsW6BgMBikqKpJUkARBYG5uLjx5FQwGwyGOMTExr+vF094+xe9+18GBA+clBCc62oDVqqO/f16yfVZWDE6nEbfbR1OTnLxER+ux2fT09c2jVCrIzXVgNmvo6JgGIDbWGLHyYrXqSEyMwmTSoFAoaG2dDIuaLRYt8fFmurqkzss2m478fCdarYoTJwZRqZT85Ce3kZurZWpqilAohEKhIDs7G6fT+YbG9yOhtbWV++67j7/7u7/j85///JtSsbnWe8hvfvObN9SWuhIejwez2cyLL77IPffc8wed+wbeXITbUqqb1JYKvv3bUhvk5m2M6xUU/93f/R2f+9znAPHidjqdG4Li68Tk5CTd3d1UVlZedZtQKMSZM2fCRGdqaop77rmH/fv3c/fdd7/muO0bQSAQoLGx8aqOyJdjbfx9jej4fD5iY2NxuVzExMS87r5nz47y5JPnOXq0D4VCQU9PZBLidBq5cGGerCw7sMrIiJ+FBR8Wi5a4ODPd3fL4B7tdf0mIHKCtbUoyxRUVpSEpyUJn5/ribTRqyMtzIAgCXm+QlhZ5HpbRqGbTJhvt7dM4nUZ+/OM93HvvZgRBoLOzk6mpKaKjo5mdnUUQhDDpi46OfsMZbx0dHdx333387d/+LY8++ujbohV1OdYExfX19RQXFwNw5MgR9uzZ85qC4itRXV1NZWUlzc3N5Ofn38xT3sANxga52SA3b0tcr2kgiKPg//zP/ywZBW9padkYBb/JCIVCnDt3joMHD3Lo0CGGh4d5z3vew759+7jvvvv+4C+/3++noaEBjUZDQUHBdS3IgiCwuLgYJjorKyvExMTgcrmIjY19Tf1QMBji1VcvcuDAeZ55pjusiYlEQkBsLRUXx2G16jhzZkQ2bSWOhtvC1Ru9XkVenhOlUkFv7yxxcWba26dl52EwqNmyxc7AwAI5ObH4/SFaWibx+0Po9SoyM2NoaZlEpVLw85/fzwc+sC08Ij8zM0NxcTEGgwFBEMJp7pOTk/j9fknI6bVmf3V3d3PvvffyyCOP8PWvf/1tR2zWcO+99zIxMcFPf/rT8Ch4SUlJeBR8ZGSEO++8k1/96leUlZVx4cIFHn/8ce677z5iYmJoaWnhM5/5DElJSTLvmw28/REmN9wkcsMGudnAG8D1mgbCuonfv//7vzM/P09lZSU//vGPyczMfM3X2jD7unFYc709cOAAhw4d4sKFC9x5553s3buXBx54AJvNdl2L4VrUg16vJz8//w9uqSwtLYUX96WlJaKjo3G5XDgcjtcci/b7g7z88gAHDpznwoW5iCneRqOa9HQ7bW1T6HQq8vIcqFRK2tomL42K22ltnZLtp9eryMkRtxUEgdbWybALsU6nIisrhuZmacXGYtGSl+fEZNJw4sQgwaDAT36yhw9/OBdBEOjq6mJqaoqSkpKI7cJIpG/ts4iNjb3qZ3HhwgXuvfdePvjBD/Ltb3/7hrW4bgZmZ2f5xCc+Ifle//CHPwx/rwcGBti0aVP4nnLx4kU+/OEPhz2AkpOTefDBB/niF7/4tl7ANhAZG+Rmg9y867Fh9nVzsNYWOXDgAE899RTt7e3ceuut7N+/nwceeIDY2NjXJDqrq6ucO3fuD4p6eC0sLy+HF3e3233NeVdeb4BDh1r41a8aOHdukeXlgKSCciVsNh3FxfEsLvokGhoArVZJdrZDotsxmTTk5joIhcTbUl2dnEip1QoKClycOzeOzabje9+7k4ceykEQBLq7u5mcnLwqsYmEq2V/2e12CRm499572bt3Lz/4wQ/e1sRmA/9/e3ceFNWZ7nH820FQlERcgNa4oTKKQVll04k4mqCidiumnMyiJuoYR61EyHg1i5bGhCHGaCoxIWZDEx0RaDXBPSCaRDTXhbhCBkQZlgZxwYDs3fcPLu3gCtjdYPN8qrrKPpw+/Z4qS3+8532fR9QLNxj732UJN6KFk2Jf5qHX68nIyDAEnZMnTzJs2DDUajUTJ07EycmpXtC5du0a586do2PHjgwaNMjk/5GWl5dTWFhIQUGBod9VXdC5PSAUFRVx6tQpXF1dsbfvyu7dF0hJyeGrr07VCy5QG16eesqBkydrw0vdGhqdTk9aWhEuLl04ceLOrcl14SU9/Spubl2prtZx+nRt2wYrKwVeXkpD6Hn//VHMmeOFXq/n3//+N1qtFh8fnybXZikrKzNUil68eDHFxcWMHDmSnTt3EhwczMcffyzBRrR4Em4k3LRqUuzL/PR6PZcuXTKs0fn555/x8/NDpVKhUqn47bffmDBhAsuXL2+WEv4VFRVcvnyZgoICrl27hp2dnaENxM2bNzl9+jSDBg1CqVTW+1xpaSW7d18gPj6NffuyqKnRMWSII8eP3z28+Ph0Q68Hna7+o6jbw0sdOzsbBg+u7XJ+4MAlKipqiIwcyfz5PobwmJ+f/1DB5nZ5eXlER0cTGxtLRkYGbm5uTJ48mcmTJ+Pm5tZi19sIIeFG6ty0alLsy/wUCgV9+vQhPDycsLAwcnNz0Wg0xMfHs2TJEuzs7PDx8SEgIKBZxte2bVt69OhBjx49qKqqMgSdzMxMQy2dDh06oNfr6/3n3qGDDVOmDGTKlIGUlFSSmHiRLVvOcfZsEeXlt2Z0rKwUeHoqOXIk778+a42fnxM6nQ5raysOH869Y1ylpZXo9bBnzwU6dLAmMnIks2d7GoJNXl6eUYNN7VitiI+Px9fXl5SUFPbu3YtGo+Hdd9+lX79+pKamyiyOEC2UzNxYoIYW+9JoNGzYsIH09PR6P3N0dGT58uXMnTu3Qd+XlJTEqFGjyMjIkGJfTXT27Fn+8Ic/4OHhQXV1NYcOHWLw4MGoVCrUajX9+/dvtpmCwsJCTp06Rc+ePSkvL6eoqIh27doZHl098cQT9xzbb79VsmtXBtu2pZOYeJHBgx05ejTvjvMUCvDz686pU5cN279Pn75MWVk1CgX4+z9JSkpt6Fm2bDiLFgWg1+vJzMwkNzcXHx8fOnToYLR7LioqYty4cTz11FNs2rSp3m6qsrIyfvnlF/z9/Y32fUIYk8zcSLixSFLs69GSmprKM888w7x581i2bBkAV65cYceOHcTFxZGUlMSAAQOYOHEiarUaV1dXswWdgoICzpw5w+DBgw2zfHVtIOoae7Zp0wZHR0ecnJzo2LHjPcdWUlLJrl2ZbN+ezr59WYY1OreHlzrt21vj5taVrl3bk5x8iZs3q1myJIA33qitQZSZmUlOTg7e3t5GrS109epVxo8fj7OzM1u3bjV7yw0hHpaEGwk3rZoU+2oZVq5cSZs2bVi8ePEdP6urz/Ltt9+i0WjYt28fvXv3RqVSMWnSJJPspKpTUFDA2bNnGTx4MA4ODnc9R6fTceXKFQoLC7l8+TIKhcIQdOzt7e85tro1Otu3p3PtWjnJydl3PW/YsB789FMOtrZteP31YSxc6AvUVuXOzs7Gx8fHqMGmuLiYCRMmoFQq0Wg0Ru0c3lhvv/02O3fuJDU1FRsbmwcW84RbJSE+++wzrl+/zrBhw/jkk09wcXEx/YBFiyHhRsJNqyfFvh4tN27cICEhAY1Gw549e3BycjI8uvLy8jJa0NFqtZw7d+6+weZ2Op2uXhuIuorATk5O9+x3BXDzZhV7915g+/Zf2bMn01C5uC7YALz88lDeeScIgKysLC5dumT0YPPbb7+hUqno2LEjO3bsaPbil8uWLcPe3p6cnBy++OKLBoWbyMhIIiIi6hXzPH36tBTzbGVuhZsiTBNuukq4ES2bFPt6dJWWlrJ7927i4+PZuXMnnTp1Mjy68vX1bXJ7gfz8fM6fP8+QIUPo2rVrk65xe0Xg6urqBvW7KiurYv/+LI4ezePLL3/hxo1K5s3z5t13/wDcCjbe3t48/vjjTRrb3ZSWljJ58mSsra1JSEhoUTv/GtuGJTw8nFdffRWonYlycnKSNiytjIQbCTfCDNatW8eqVavQarW4u7vz4Ycf4uvre8/zY2NjefPNN7l48SIuLi5ERkYybtw4M4740VNWVsa+ffuIj48nISEBW1tbJk6ciEqlIjAwsMHtBeqCjbu7O126dDHK2PR6PTdu3DDU0qnrd/Wg1gcVFdX87//mM3x4T6A2aF+8eNHowaasrIwpU6ZQU1PDrl27jN4b7GFJA13RWLfCjRbThBtliw83so9RmFRMTAxhYWEsW7aMEydO4O7uTnBwMIWFd1azBTh8+DDPP/88M2fO5OTJk6jVatRqNWfOnDHzyB8ttra2qFQqNm7ciFar5bPPPqOyspK//OUvuLi4sGDBApKSkqiqqrrnNfLy8owebKB2+3vHjh1xcXFh2LBhDB06lA4dOnDhwgUOHjzIyZMnycvLu2Nsbdu2MQSbS5cukZWVhZeXl1GDTXl5Oc8//zwVFRUkJCS0uGDTGHXlG5ycnOodd3Jyum9pByEskYQbYVLvv/8+s2fP5oUXXmDQoEFERUXRvn17vvzyy7ue/8EHHzBmzBj+8Y9/4OrqyltvvYWXlxcfffSRmUf+6LKxsWHcuHF88cUX5Ofns2nTJqytrZk1axZ9+/Zl7ty57N27l4qKCsNnoqKiSE5OxsPDw6jB5nYKhYLHH3+cfv36ERgYiL+/P/b29mRnZ3Pw4EFOnDhBTk4OlZW3Gm9mZ2dz4cIFvL29jfqbYkVFBX/961+5du0au3btMstvoYsXL0ahUNz3lZaWZvJxiNaiykSvlk+K+AmTqays5Pjx4yxZssRw7LHHHmP06NGkpKTc9TMpKSmEhYXVOxYcHMz27dtNOVSLZW1tzejRoxk9ejTr1q3jhx9+ID4+ngULFlBSUmLoXL5x40a+/vprOnfubNbxdejQAWdnZ5ydnSkrK6OgoIC8vDzS0tKwt7fH2tra0N3bmOGjqqqKGTNmkJeXx/fff4+9vb3Rrn0/4eHhhma399K3b98mXbuuanRBQQHdunUzHC8oKKj3mEqI1kDCjTCZoqIiampq7jpNfq/fTrVarUyrm4iVlRVBQUEEBQWxdu1ajhw5wtKlS9m6dSv9+vVjy5YtlJWVERwcbNSCeA1la2tLnz596NOnD+Xl5YYmmADp6emGLeYNbYh5L9XV1cycOZMLFy6QlJRk0pmq2zk4ODR491ljOTs7o1QqSUxMNISZGzducPTo0QYX5BSWpvr/X8a+Zssn4UaIVsjKyorU1FSOHTvGgQMHaNeuHXFxcaxYsYI5c+bwzDPPoFKpGDt2bLMsGiwqKqKoqMjQUqFu11VGRgZ2dnaGoNPYEFZTU8NLL73EuXPnSEpKMlnQMIbs7GyuXr1KdnY2NTU1pKamAtC/f3/D2qCBAwcSERHBpEmTUCgUvPLKK6xcuRIXFxfDVvDu3bujVqub70ZEM6rG+I+RJNyIVq5r165YWVlRUFBQ73hBQcEdjRfrKJXKRp0vmuabb77h9ddfZ+/evYY2AkOHDiUiIoJTp04RFxfHe++9x9y5cxk1ahQqlYqQkBDs7e1NXh05JyeHX3/9FU9PT8Pjotv7XRUWFpKVlYWtra0h6NjZ2d13bDU1NSxYsIBjx46RnJzc4v9OLV26lA0bNhjee3p6AhjKMkDtjFZxcbHhnEWLFlFaWsrf/vY3rl+/zvDhw9mzZ4/UuBGtjmwFFybl5+eHr68vH374IVBb6K1Xr17Mnz//rhV5p06dys2bN/nuu+8MxwIDAxkyZAhRUVFmG7elKyws5D//+Y+hMvXd6PV6zp8/T1xcHBqNhnPnzhEUFIRarWb8+PF06dLF6EEnNzeX9PR0PD096dSp033Pra6urtcGwsbGxtDB/PZ+VzqdjoULF5KUlMSBAwfo1auXUcctREtyayv4OcB4uwtr/QYMavFbwSXcCJOKiYlh+vTpfPrpp/j6+rJ27Vq2bt1KWloaTk5OTJs2jSeffJKIiAigdiv4iBEj+Oc//0lISAhbtmzhnXfe4cSJE7i5uTXz3bRedd2364JOamoqw4cPR61WM2HCBJycnB466NQtJPbw8Gj0wuaampp6bSCsrKw4duwYrq6ujBo1itdff52EhASSk5NxdnZ+qHEK0dJJuJGt4MLEpk6dynvvvcfSpUvx8PAgNTXV0DYAatcV5OfnG84PDAxk8+bNrF+/Hnd3d+Li4ti+fXujgs26devo06cP7dq1w8/Pj59//vme50ZHR9+xFVem8O+kUChwcXFhyZIl/Pzzz/z666+EhIQQExPD7373O8aMGcPHH39MTk4OTfl9KT8/v8nBBmrXEDk6OuLm5saIESMYNGgQ6enpvPjii/Tp04eNGzeyfPlyevTo0ehrC/HoqjbRq+WTmRthUWJiYpg2bRpRUVH4+fmxdu1aYmNjDbttbhcdHc3LL79Menq64ZhCobhjx5a4O71eT05ODhqNBo1Gw+HDh/H29kalUqFSqejdu/cDZ3RMURW5bmzLly9nx44d+Pj4cODAAcrLy5k4cSJTpkwhJCTEbN3VhTCnWzM3pzDNzM2QFj9zI+FGWBQ/Pz+GDh1qKPqn0+no2bMnCxYsuOsan4aWthcPptfr0Wq1bNu2jfj4eA4dOsSQIUMMQad///53hIm6R1GmCDaRkZFERUWRlJSEm5sbOp2OI0eOEB8fT1ZWFhqNxmjfJ0RLcivcnACMXXW7BPBq8eFGHksJi1FXNHD06NGGYw8qGghQUlJC79696dmzJyqVirNnz5pjuBZHoVDQrVs3/v73v/P999+Tl5fH3LlzSUlJwdfXl4CAACIiIjh//jx6vZ6vvvqK0NBQBg8ebPRgs2bNGtatW8e+ffsMjzQfe+wxAgMDWb16tQQbISychBthMe5XNPBeRQAHDBjAl19+yY4dO/jmm2/Q6XQEBgaSk5NjjiFbLIVCgYODA7NmzWLXrl1otVrCw8P55ZdfGD58OF5eXrz66qv86U9/Mnqw+eijj3j//ffZs2dPs1bmffvttwkMDKR9+/YNroA8Y8aMO9aAjRkzxrQDFRas9a65kXAjWrWAgACmTZuGh4cHI0aMQKPR4ODgwKefftrcQ7MYCoWCTp06MX36dL799lu++OILLl26hL+/PytWrMDDw4M333yT48ePo9Ppmvw9er2e9evXExERwc6dOxk6dKgR76LxKisree655xpdHXjMmDHk5+cbXv/6179MNEJh+aS3lBCPvKYUDbydtbU1np6eZGRkmGKIrd63337L7NmziYmJQaVSUVJSwu7du4mPjyckJITOnTszceJE1Go1Q4cOxcrKqkHX1ev1REdHs2zZMnbu3ElAQICJ7+TBli9fDtSu62qMtm3btvgCg0K0dDJzIyyGjY0N3t7eJCYmGo7pdDoSExMb/J9dTU0Np0+frtd4UBhHeXk5Cxcu5JtvvkGlUgFgZ2fHc889x5YtW9Bqtaxdu5Zr164RGhqKq6sr4eHh/PDDD1RX33sqXK/Xs2nTJhYvXsyOHTv4/e9/b65bMonk5GQcHR0ZMGAAc+fO5cqVK809JPHIar2PpWTmRliUsLAwpk+fjo+Pj6FoYGlpKS+88ALAHUUDV6xYgb+/P/379+f69eusWrWKS5cuMWvWrOa8DYvUrl07zpw5c8/Gl+3bt0etVqNWqykvLycxMRGNRsOf//xnrKysmDBhApMmTWL48OFYW1sDtcEmNjaWsLAwNBoNI0eONOctGd2YMWOYPHkyzs7OZGZm8tprrzF27FhSUlIaPIslhJBwIyzM1KlTuXz5MkuXLkWr1eLh4XFH0cDHHrs1YXnt2jVmz56NVqulU6dOeHt7c/jwYQYNGtRct2DRGtrRu127doSEhBASEkJUVBTJycnEx8czc+ZMqqurGT9+PCqVihs3bjB//nxiYmJ49tlnTTx6WLx4MZGRkfc95/z58wwcOLBJ1//jH/9o+PPgwYMZMmQI/fr1Izk5mVGjRjXpmqI1a72NM6XOjRAP6dChQ6xatYrjx4+Tn5/Ptm3bHtiFOTk5mbCwMM6ePUvPnj154403mDFjhlnG+yirrq7mxx9/JC4ujtjYWAoLC4mLiyM0NNQs33/58uUHPibq27cvNjY2hvcPW0vJwcGBlStXMmfOnCZ9XrQ+t+rcJAIdjHz1UmBUi69zIzM3Qjyk0tJS3N3defHFF5k8efIDz8/KyiIkJISXXnqJTZs2kZiYyKxZs+jWrRvBwcFmGPGjq02bNgQFBREUFMQHH3zA3r17GTdunNm+38HBAQcHB7N9X05ODleuXJE1YKKJTLFG5tGYuZFwI8RDGjt2LGPHjm3w+VFRUTg7O7N69WoAXF1d+fHHH1mzZo2Em0awsrIya7BprOzsbK5evUp2djY1NTWkpqYC0L9/f+zsaqvGDhw4kIiICCZNmkRJSQnLly8nNDQUpVJJZmYmixYton///vL3QohGknAjhJmlpKTUq6IMEBwczCuvvNI8AxImsXTpUjZs2GB47+npCcCBAwcICgoCID09neLiYqA2rJ06dYoNGzZw/fp1unfvzrPPPstbb71F27ZtzT5+YQlMUZdG6twIIe5Cq9XetYryjRs3KCsra/CiW9GyRUdHP7DGzX8vebS1tWXv3r0mHpVoXVrvYympcyOEEEIIiyIzN0KYmVKpvGsV5SeeeEJmbYQQRtR6t4LLzI0QZhYQEFCvijLA/v37W0TLACGEsAQSboR4SCUlJaSmphp2w2RlZZGamkp2djYAS5YsYdq0aYbzX3rpJS5cuMCiRYtIS0vj448/ZuvWrSxcuLA5hi+EsFitt/2ChBshHtKxY8fw9PQ07IYJCwvD09OTpUuXApCfn28IOgDOzs7s3LmT/fv34+7uzurVq/n8888btd330KFDTJgwge7du6NQKNi+fft9z09OTkahUNzx0mq1jb9hIYRo4WTNjRAPKSgoiPsV+r7bjpmgoCBOnjzZ5O9sbOHAOunp6fWqijo6OjZ5DEKIlq71bgWXmRshHkFjx45l5cqVTJo0qVGfc3R0RKlUGl7/3WdL1Hfx4kVmzpyJs7Mztra29OvXj2XLllFZWXnfz5WXlzNv3jy6dOmCnZ0doaGhdywgF0KYlvzLJkQr4uHhQbdu3XjmmWf46aefmns4LVpaWho6nY5PP/2Us2fPsmbNGqKionjttdfu+7mFCxfy3XffERsby8GDB8nLy2vU7JoQxlNlolfLJ40zhXjEKRSKBzbrTE9PJzk5GR8fHyoqKvj888/5+uuvOXr0KF5eXuYb7CNu1apVfPLJJ1y4cOGuPy8uLsbBwYHNmzczZcoUoDYkubq6kpKSgr+/vzmHK1qpW40zvwTaG/nqN4EXpXGmEKL5DRgwgAEDBhjeBwYGkpmZyZo1a/j666+bcWSPluLiYjp37nzPnx8/fpyqqqp67TUGDhxIr169JNyIZiAVioUQrYyvry8ZGRnNPYxHRkZGBh9++CFz5sy55zlarRYbGxvs7e3rHXdycpKdaaIZ1BXxM+ZLwo0QogVLTU2lW7duzT0Ms1u8ePFdt8X/9ystLa3eZ3JzcxkzZgzPPfccs2fPbqaRCyEaSh5LCfEIKikpqTfrUlc4sHPnzvTq1YslS5aQm5vLxo0bAVi7di3Ozs489dRTlJeX8/nnn5OUlMS+ffua6xaaTXh4ODNmzLjvOX379jX8OS8vj5EjRxIYGMj69evv+zmlUkllZSXXr1+vN3tTUFCAUql8mGEL0QSt97GUhBshHkHHjh1j5MiRhvdhYWEATJ8+nejo6DsKB1ZWVhIeHk5ubi7t27dnyJAhfP/99/Wu0Vo4ODjg4ODQoHNzc3MZOXIk3t7efPXVVw/cOu/t7Y21tTWJiYmEhoYCtYu5s7Ozpb2GEGYku6WEEA0SERGBRqMhLS0NW1tbAgMDiYyMrLdQ+W5iY2N58803uXjxIi4uLkRGRjJu3DgzjbrpcnNzCQoKonfv3mzYsAErKyvDz+pmYXJzcxk1ahQbN27E19cXgLlz57Jr1y6io6N54oknWLBgAQCHDx82/02IVunWbqnVgLGb8ZYB4S1+t5SsuRFCNMjBgweZN28eR44cYf/+/VRVVfHss89SWlp6z88cPnyY559/npkzZ3Ly5EnUajVqtZozZ86YceRNs3//fjIyMkhMTKRHjx5069bN8KpTVVVFeno6N2/eNBxbs2YN48ePJzQ0lKeffhqlUolGo2mOWxCi1ZKZGyFEk1y+fBlHR0cOHjzI008/fddzpk6dSmlpKQkJCYZj/v7+eHh4EBUVZa6hCtGq3Jq5icQ0Mzf/IzM3QgjLVFxcDHDfui8pKSn1ar4ABAcHk5KSYtKxCSFaN1lQLIRoNJ1OxyuvvMKwYcNwc3O753larRYnJ6d6x6TmixDmUlfnxtjXbPkk3AghGm3evHmcOXOGH3/8sbmHIoS4J9kKLoQQDTJ//nwSEhI4dOgQPXr0uO+5SqXyjo7YUvNFCGFqsuZGCNEger2e+fPns23bNpKSknB2dn7gZwICAkhMTKx3bP/+/VLzRQizaL1dwWXmRgjRIPPmzWPz5s3s2LGDxx9/3LBupmPHjtja1u7ImDZtGk8++SQREREAvPzyy4wYMYLVq1cTEhLCli1bOHbs2AMr/QohxMOQmRshRIN88sknFBcXExQUVK/mS0xMjOGc7Oxs8vPzDe8DAwPZvHkz69evx93dnbi4OLZv337fRchCCGOpNtGr5ZM6N0IIIYQFuVXnZiHQ1shXrwDWtPg6N/JYSgghhLAgNjY2KJVKtNo1Jrm+UqnExsbGJNc2Fpm5EUIIISxMeXk5lZWVJrm2jY0N7dq1M8m1jUXCjRBCCCEsiiwoFkIIIYRFkXAjhBBCCIsi4UYIIYQQFkXCjRBCCCEsioQbIYQQQlgUCTdCCCGEsCgSboQQQghhUSTcCCGEEMKiSLgRQgghhEX5Pw21w34fDyvTAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(8, 6))\n", + "ax = fig.add_subplot(111, projection='3d')\n", + "surface = ax.plot_surface(xs, ys, zs, cmap=cm.jet)\n", + "fig.colorbar(surface)" + ] + }, + { + "cell_type": "markdown", + "id": "68daffcd", + "metadata": {}, + "source": [ + "## interactive" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "cd99bde8", + "metadata": { + "ExecuteTime": { + "end_time": "2023-01-17T15:14:46.875451Z", + "start_time": "2023-01-17T15:14:46.872227Z" + } + }, + "outputs": [], + "source": [ + "from mpl_toolkits.mplot3d import Axes3D" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3ebe2bc7", + "metadata": { + "ExecuteTime": { + "end_time": "2023-01-17T15:15:17.027165Z", + "start_time": "2023-01-17T15:15:17.019548Z" + } + }, + "outputs": [], + "source": [ + "%matplotlib notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "ad02cc2d", + "metadata": { + "ExecuteTime": { + "end_time": "2023-01-17T15:15:18.314212Z", + "start_time": "2023-01-17T15:15:18.160144Z" + } + }, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_device_pixel_ratio', {\n", + " device_pixel_ratio: fig.ratio,\n", + " });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " // Apply a ponyfill if ResizeObserver is not implemented by browser.\n", + " if (this.ResizeObserver === undefined) {\n", + " if (window.ResizeObserver !== undefined) {\n", + " this.ResizeObserver = window.ResizeObserver;\n", + " } else {\n", + " var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n", + " this.ResizeObserver = obs.ResizeObserver;\n", + " }\n", + " }\n", + "\n", + " this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " this.resizeObserverInstance.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'dblclick',\n", + " on_mouse_event_closure('dblclick')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " fig.rubberband_canvas.style.cursor = msg['cursor'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " var img = evt.data;\n", + " if (img.type !== 'image/png') {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " img.type = 'image/png';\n", + " }\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " img\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * https://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.key === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.key;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.key !== 'Control') {\n", + " value += 'ctrl+';\n", + " }\n", + " else if (event.altKey && event.key !== 'Alt') {\n", + " value += 'alt+';\n", + " }\n", + " else if (event.shiftKey && event.key !== 'Shift') {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k' + event.key;\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "\n", + "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n", + "// prettier-ignore\n", + "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.binaryType = comm.kernel.ws.binaryType;\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " function updateReadyState(_event) {\n", + " if (comm.kernel.ws) {\n", + " ws.readyState = comm.kernel.ws.readyState;\n", + " } else {\n", + " ws.readyState = 3; // Closed state.\n", + " }\n", + " }\n", + " comm.kernel.ws.addEventListener('open', updateReadyState);\n", + " comm.kernel.ws.addEventListener('close', updateReadyState);\n", + " comm.kernel.ws.addEventListener('error', updateReadyState);\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " var data = msg['content']['data'];\n", + " if (data['blob'] !== undefined) {\n", + " data = {\n", + " data: new Blob(msg['buffers'], { type: data['blob'] }),\n", + " };\n", + " }\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(data);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.on(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + " fig.resizeObserverInstance.unobserve(fig.canvas_div);\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " if (event.target !== this) {\n", + " // Ignore bubbled events from children.\n", + " return;\n", + " }\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/chunhuizhang/anaconda3/envs/py3.7/lib/python3.7/site-packages/ipykernel_launcher.py:2: MatplotlibDeprecationWarning: Axes3D(fig) adding itself to the figure is deprecated since 3.4. Pass the keyword argument auto_add_to_figure=False and use fig.add_axes(ax) to suppress this warning. The default value of auto_add_to_figure will change to False in mpl3.5 and True values will no longer work in 3.6. This is consistent with other Axes classes.\n", + " \n" + ] + } + ], + "source": [ + "fig = plt.figure()\n", + "ax = Axes3D(fig)\n", + "\n", + "# creating the plot\n", + "surface = ax.plot_surface(xs, ys, zs, color='green', cmap=plt.get_cmap('rainbow'))\n", + "\n", + "# setting title and labels\n", + "ax.set_title(\"3D plot\")\n", + "ax.set_xlabel('x-axis')\n", + "ax.set_ylabel('y-axis')\n", + "ax.set_zlabel('z-axis')\n", + "fig.colorbar(surface)\n", + "# displaying the plot\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d7d59be7", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} -- cgit v1.2.3