{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "[![在线运行](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r2.0.0-alpha/resource/_static/logo_modelarts.png)](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9vYnMuZHVhbHN0YWNrLmNuLW5vcnRoLTQubXlodWF3ZWljbG91ZC5jb20vbWluZHNwb3JlLXdlYnNpdGUvbm90ZWJvb2svcjIuMC4wLWFscGhhL3R1dG9yaWFscy96aF9jbi9hZHZhbmNlZC9kYXRhc2V0L21pbmRzcG9yZV9lYWdlci5pcHluYg==&imageid=77ef960a-bd26-4de4-9695-5b85a786fb90) [![下载Notebook](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r2.0.0-alpha/resource/_static/logo_notebook.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/r2.0.0-alpha/tutorials/zh_cn/advanced/dataset/mindspore_eager.ipynb) [![下载样例代码](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r2.0.0-alpha/resource/_static/logo_download_code.png)](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/r2.0.0-alpha/tutorials/zh_cn/advanced/dataset/mindspore_eager.py) [![查看源文件](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r2.0.0-alpha/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/r2.0.0-alpha/tutorials/source_zh_cn/advanced/dataset/eager.ipynb)\n", "\n", "# 轻量化数据处理\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "在资源条件允许的情况下,为了追求更高的性能,一般使用Pipeline模式执行数据变换Transforms。\n", "\n", "基于Pipeline模式执行的最大特点是需要使用`map`方法,如下图中将`Resize`、`Crop`、`HWC2CHW`交由`map`调度,由其负责启动和执行给定的Transform,对Pipeline的数据进行映射变换。\n", "\n", "![pipelinemode1](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r2.0.0-alpha/tutorials/source_zh_cn/advanced/dataset/images/pipeline_mode.jpeg)\n", "\n", "虽然构建数据管道可以批量处理输入数据,但是数据管道的API设计要求用户从构建输入源开始,逐步定义数据管道中的各个Transform,仅当在定义`map`的时候才会涉及与用户输入数据高度相关的Transform。\n", "\n", "无疑,用户只想重点关注这些与其相关度最高的代码,但其他相关度较低的代码却在整个代码场景中为用户增加了不必要的负担。\n", "\n", "因此,MindSpore提供了一种轻量化的数据处理执行方式,称为Eager模式。\n", "\n", "在Eager模式下,执行Transforms不需要依赖构建数据管道`map`,而是以函数式调用的方式执行Transforms。因此代码编写会更为简洁且能立即执行得到运行结果,推荐在小型数据增强实验、模型推理等轻量化场景中使用。\n", "\n", "![eagermode1](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r2.0.0-alpha/tutorials/source_zh_cn/advanced/dataset/images/eager_mode.jpeg)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "MindSpore目前支持在Eager模式执行各种Transform,具体如下所示,更多数据变换接口参见API文档。\n", "\n", "- [vision模块](https://mindspore.cn/docs/zh-CN/r2.0.0-alpha/api_python/mindspore.dataset.transforms.html#视觉)\n", "\n", " - 子模块transforms,基于OpenCV/Pillow实现的数据变换。\n", "\n", "- [text模块](https://mindspore.cn/docs/zh-CN/r2.0.0-alpha/api_python/mindspore.dataset.transforms.html#文本)\n", "\n", " - 子模块transforms,基于Jieba/ICU4C等库实现的数据变换。\n", "\n", "- [transforms模块](https://www.mindspore.cn/docs/zh-CN/r2.0.0-alpha/api_python/mindspore.dataset.transforms.html)\n", "\n", " - 子模块transforms,基于C++/Python/NumPy实现的通用数据变换。" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Eager模式\n", "\n", "下面将简要介绍各Transforms模块的Eager模式使用方法。使用Eager模式,只需要将Transform本身当成可执行函数即可。" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 数据准备\n", "\n", "以下示例代码将图片数据下载到指定位置。" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Downloading data from https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/datasets/banana.jpg (17 kB)\n", "\n", "file_sizes: 100%|███████████████████████████| 17.1k/17.1k [00:00<00:00, 883kB/s]\n", "Successfully downloaded file to ./banana.jpg\n" ] }, { "data": { "text/plain": [ "'./banana.jpg'" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from download import download\n", "\n", "url = \"https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/datasets/banana.jpg\"\n", "download(url, './banana.jpg', replace=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### vision\n", "\n", "此示例将使用`mindspore.dataset.vision`模块中的Transform,对给定图像进行变换。\n", "\n", "您仅需要关注使用何种数据变换,而不需要关注数据管道的任何代码。\n", "\n", "Vision Transform的Eager模式支持`numpy.array`或`PIL.Image`类型的数据作为入参。" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Image.type: , Image.shape: (356, 200)\n", "Image.type: , Image.shape: (569, 320)\n", "Image.type: , Image.shape: (280, 280)\n", "Image.type: , Image.shape: (360, 360)\n" ] }, { "data": { "image/png": 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i5JiUklNOOYXbb7+99JpWq5WLiKq1ZuvWrSxcuHCnQs1XqFDhicEYw8TEBCtWrMjtgl2GSkGpUKHCHoHNmzejlGLp0qW540uXLuUPf/hD6TVXXHEFl1122VNRvAoVKuwAHn74YVatWtU1TeWDUqFChT9ZXHzxxYyNjSWfdevW7e4iVahQARgcHJw1TcWgVKhQYY/AokWL8DyPDRs25I5v2LCBZcuWlV7TaDRyu/5WqFBhfmAuU6wVg1KhQoU9AvV6nWOOOYZbb701Oaa15tZbb+XYY4/djSWrUKHCk4GKQalQocIeg7e97W2ce+65POMZz+BZz3oWH/3oR5mamsptClehQoU/DVQKSoUKFfYYvOxlL2PTpk285z3vYf369Rx99NHcdNNNbY6zFSpU2PNRxUGpUKHCnw3Gx8f3uC3nK1T4U8TY2BhDQ0Nd01Q+KBUqVKhQoUKFeYdKQalQoUKFChUqzDtUCkqFChUqVKhQYd6hUlAqVKhQoUKFCvMOlYJSoUKFChUqVJh3qBSUChUqVKhQocK8Q6WgVKhQoUKFChXmHSoFpUKFChUqVKgw71ApKBUqVKhQoUKFeYdKQalQoUKFChUqzDtUCkqFChUqVKhQYd6hUlAqVKhQoUKFCvMOlYJSoUKFChUqVJh3qBSUChUqVKhQocK8Q6WgVKhQoUKFChXmHSoFpUKFChUqVKgw7+Dv7gJUqFChwp8ahBC7uwgVKuw0jDG7uwhApaBUqFChwi6FEILPf/6LLFu6FHCKiskmyBzamYFAIASY+Hpj0izBHW9HftBx3+eoSAnd4YRhR+vgyuH+ZpW5nRkY3fXFfMvyE0JgjMEYg5QSI8BojYnPecJeIwyoKOTeP/4RjGHvvfair7cPJSRaCHQm32yeZfctKqud6lisR/HasvZyv7XWubJ0gyuryyd7X2MMGzdu5A1veMO8UFIqBaVChQoVdjGWLlnKypWrkt+dBpfZ0G2gmy19t3M7mi9kFJQkeWflJDsAFgfEsnLOZWAtu4e7tnhPN2Bn06Xn3b0ESJPLxxMCYzRCa1QQsP7hh7n37j/iRYojnnYkI4sXoT0PjUgUg24KUrGOO4P2thFYxdS03bvst6uru322bbKYDwpJEZWCUqFChQpPIp6YYpDPp2wgz+aTPV9UCjpdUyxb+TUlTNAOwJUra7V3YzpmK1sxfZkSVLx3/IukLsL+k14Sp9MGoxVSCA4+8CDW3Xc/t//oRzz0wP3sd/Ah7HvwwSxcvBjpeciYcTHYgd8pA1KKtMViisv93VE1Jc/OZNmz7unLFZu0Tdrzbv+9u1E5yf4J4vrrr0cIwYMPPrjD1952220IIbjtttt2ebmyEEJw6aWXdk3z4IMPIoTg+uuvf1LLUmH349JLL0UIkfsccsghyflms8mb3vQmFi5cyMDAAGeddRYbNmzYjSWeBZlRqEilP1nIDi7ue/bjyuA+O4Zi+va8s+XIXRnfT8rOw82uGhiL9cyWQQqZ+Q1CGISI0xuJ0BJhJJ6QeFLiex6jC0Z51jOfxbIlS/jR97/Ll2/8N/7ra1/h3t//FjUzhWcUwmiMUkSRIow0SmlUFKGjEKMiO4VkNBrQxmCMU2TmMD3WIYktf/tUT7d2McYkSlTxk+0X80lBqRiUChUqzAscfvjh3HLLLclv30/F01vf+la++c1v8pWvfIXh4WEuvPBCzjzzTH784x/vjqLOiuJQMZfBpIzBmKt/RpE1KcujE7W/Q5hleqdojaflyNY3X8+s/0RZPnMdOIv1zikryW/HoNjyG6PBSDACiYc0ComxPiYCjJQsX7WaQw8/mPvu+Q2Pr3+cH3/3OzQntjP2zGdy8KGHM7xoCUqDMQKjQRmNQWFQCCERngfCR2Ms9SFAClsWY2xZZlMYhWu25Es7uikalnXRbc+nbFpqPjl4VwrKnyBe9apXcfbZZ9NoNHb42uc+97nMzMxQr9efhJLtGPbee29mZmao1Wq7uygVngL4vs+yZcvajo+NjXHttddy4403ctJJJwFw3XXXceihh/LTn/6Uv/iLv3iqi7rT6OYzUDZI7OjA0S3NrIPgXAYmA4i8T8Pc8nL1hdQHhMRZNUk1h6meMgao09SOvZvVC+wMi4jHeXsgM1wDGmniaQUhMRK0kdT7ejjmmccQNcf43q23smnTFjY++hC3btnAQw/cx3OedzKLlq/CaIExoJVCG4VE26ke49v8pWdLY8DIrG+IbFMUyuoYp0BQVD7Kld2islbmE1R08N05du3JQzXF8yeEqakpADzPo6enZ6c6mpSSnp6ernTsUwUhBD09PXiet7uLUuEpwD333MOKFSvYb7/9eMUrXsG6desAuPPOOwnDkFNOOSVJe8ghh7DXXntx++23d82z1WoxPj6e+zw12Dkh32mqoxOrkj1WTLMzg83crhGFz45eb9FtauiJDpJZ5QSTllIIgUQgjABjyy+w0z0SjRTxQC4kCB8jBEYYRhcu4Oijj2LxooV4aPrrPoQtfvk/d/Dj225hy/pHEaqFDpuosEUYtAjDgCAICMMAFQVoFWJ0hNYq/ujctEu27IkykfxHUonZ+kenqTew8l1K2XHacT4pJ1ApKPMSv/jFLzjttNMYGhpiYGCAk08+mZ/+9Ke5NM7P5Pvf/z4XXHABS5YsYdWqVblzWR8UrTWXXnopK1asoK+vj+c973ncdddd7LPPPpx33nlJujIflBNPPJEjjjiCu+66i+c973n09fWxcuVKrrzyylyZgiDgPe95D8cccwzDw8P09/dz/PHH873vfW+n2qHMB+W8885jYGCAdevW8eIXv5iBgQFWrlzJVVddBcBvfvMbTjrpJPr7+9l777258cYbc3lu3bqVt7/97TztaU9jYGCAoaEhTjvtNH71q1+13f+hhx7ijDPOoL+/nyVLlvDWt76Vb3/726U+OnfccQennnoqw8PD9PX1ccIJJ8zb6Yf5iDVr1nD99ddz0003cfXVV/PAAw9w/PHHMzExwfr166nX64yMjOSuWbp0KevXr++a7xVXXMHw8HDyWb169ZNYi7kjNwh1YQ12VMmYS/qir8/clZlYIUncJ8qmb3YeRVZpZxSstsE507RSCASC2O0EAVZZETGzIw1COnXAww6PBuEJhBQ06nX6e/og0vT4dYb7B+n1fe7+zW/4xR13MDMxjjQaoxVKRYRhGH8CVBiiogijrGKS9QUh9kspKiql9ZkFxdVLZXlCOZM33/xPoJrimXf43e9+x/HHH8/Q0BDveMc7qNVqfPrTn+bEE0/k+9//PmvWrMmlv+CCC1i8eDHvec97EgalDBdffDFXXnklp59+OmvXruVXv/oVa9eupdlszqlc27Zt49RTT+XMM8/kpS99KV/96lf5+7//e572tKdx2mmnATA+Ps6//Mu/cM4553D++eczMTHBtddey9q1a/nv//5vjj766J1ulyyUUpx22mk897nP5corr+SGG27gwgsvpL+/n3e961284hWv4Mwzz+Saa67h1a9+Ncceeyz77rsvAPfffz/f+MY3+Ju/+Rv23XdfNmzYwKc//WlOOOEE7rrrLlasWAFYNuqkk07i8ccf5y1veQvLli3jxhtvLFW2vvvd73LaaadxzDHHcMkllyCl5LrrruOkk07ihz/8Ic961rN2Sb3/lOH6EMCRRx7JmjVr2Hvvvfnyl79Mb2/vTud78cUX87a3vS35PT4+/hQpKd1XqHRjRLIDRTdflbmiuIKm033nlm+WNTEZvwjn5zC3spXV/8mw3hOvkyyjgnGzVBgEBoH9P1YEhOVVtHGMi0YIyaYNG/GFZLBvkIZXp7+/n+Z0k4lmk7t/91tWrt6L/Q86FGIFJIoUYPCURimD9BR+rYbne0hjVwAhTdxwEkM63VXm3Oz+lrVx2RRhmRNsdlk0tPv/zLdVPJWCMs/w7ne/mzAM+dGPfsR+++0HwKtf/WoOPvhg3vGOd/D9738/l350dJRbb7216zTIhg0b+PCHP8xLXvISvv71ryfHL7vssllX0jg89thjfO5zn+NVr3oVAK973evYe++9ufbaa5PBZcGCBTz44IM5/5Xzzz+fQw45hE984hNce+21c7rXbGg2m7zyla/k4osvBuDlL385K1as4LWvfS1f+MIXeNnLXgbA85//fA455BA++9nPJvV82tOexh//+MfcFNarXvUqDjnkEK699lr+8R//EYBPf/rTiTLzl3/5lwC84Q1v4P/7//6/XFmMMfzt3/4tz3ve8/jWt76VvOhveMMbOPzww3n3u9/NzTffvEvq/eeEkZERDjroIO69916e//znEwQB27dvz7EoGzZsKPVZyaLRaOyUL9YTxc7I+Nl8CTr5X5Rd8+Qho5wkzqbuvrNf3WmFT1GBKhuI52rhCxH7eZQpiUaTTuxIBKAzTrPaGKSQsauNpqfuIbXEF4JNGzezcf1GJDA1MUHd9+ht1JmYmuSRhx7kwXvvYfmKlXg9vRhlWRRjDEpFeFGE9CQ6quHVavi+j+fV7FJlKa1SJGTMprQ7rmbr0akN5tIvyhSe+YxqimceQSnFzTffzEte8pJEOQFYvnw5L3/5y/nRj37UNod+/vnnz+qjceuttxJFERdccEHu+Jvf/OY5l21gYIBXvvKVye96vc6znvUs7r///uSY53mJcqK1ZuvWrURRxDOe8Qx+/vOfz/lec8H/+l//K/k+MjLCwQcfTH9/Py996UuT4wcffDAjIyO5MjYajUQ5UUqxZcsWBgYGOPjgg3NlvOmmm1i5ciVnnHFGcqynp4fzzz8/V45f/vKX3HPPPbz85S9ny5YtbN68mc2bNzM1NcXJJ5/MD37wg12zeuLPDJOTk9x3330sX76cY445hlqtxq233pqcv/vuu1m3bh3HHnvsbixlF2TkftlUylyW52aPd6L+y9LmitFluuSJTC3Z8zivV8r8UTpdV0R2GmK26ae5Ovo6JaQ0tSUsYqVAII2wgXIdqyJASqj7gj5fMtTTYGLzVjY8tp7t27cTRiGbN23k4YfX4UlBf18PEs0vf34nd931W9Ah2kQYE6F1iAoDoqBF1GoStmYImk2CVosoCFBhgEqWI8fTP0q1Tc246ZriMmF3rqw/CCFy/iZFx9hse2evmU9KS8WgzCNs2rSJ6elpDj744LZzhx56KFprHn74YQ4//PDkuJu66IaHHnoIgAMOOCB3fHR0lAULFsypbKtWrWrruAsWLODXv/517thnP/tZPvShD/GHP/yBMAx3qJxzRU9PD4sXL84dGx4eLi3j8PAw27ZtS35rrfnYxz7Gpz71KR544AGUUsm5hQsXJt8feugh9t9//7b8im14zz33AHDuued2LO/Y2Nic2/nPFW9/+9s5/fTT2XvvvXnssce45JJL8DyPc845h+HhYV73utfxtre9jdHRUYaGhnjzm9/MscceO69X8JSt1JnrAJu9vni87B4uTZFlmMtqj275d/KTSX+bgl6Ssiqd7r0zvg7ZqYrZE2dmnlx6dz9hmRURR8YV8RLjWNsCaVf5eBKCqSkevXcdk1s28ti6h/ntr37F9m3bqNd8ZpozKK2YnJhgamYaFUU8cP99jP7yl6xcvYqe/v5Y0VCgbfwTKaUNAKc1GB2zJT5Se3iej5AaIT0QEiGlVa/k3FiOHelrnVbxzEc/lEpB2cPxRObndwSdWJpsZ/785z/Peeedx0te8hL+7u/+jiVLluB5HldccQX33Xffk16WuZTxfe97H//4j//Ia1/7Wt773vcyOjqKlJKLLrpop5gOd80HPvCBjj42AwMDO5zvnxseeeQRzjnnHLZs2cLixYs57rjj+OlPf5oooh/5yEeQUnLWWWfRarVYu3Ytn/rUp3ZzqbtgFhlfNnjsyIqKuTjY7ux1s/uriHi8N7n0No3dG2i2cnXzwelU1qJj8WzKVaf7aUBkyicRGGS80NggJGAU6x64j+/859d54A+/x0NgIk3Nk0RBE8/3qdXrTE5Ns318jMhAf28vj6x7kPvvvYeDDj0s3mrJIIyxwdq0ItIKobVdxaMUyq/h13yMr5G+jzTGKikY7ASHpXOKPiiuzcum/YpyrKyd5urbsrtRKSjzCIsXL6avr4+777677dwf/vAHpJQ75eC39957A3DvvffmmIwtW7bk2IUniq9+9avst99+fO1rX8u9DJdccskuu8cTxVe/+lWe97zntfnDbN++nUWLFiW/9957b+666642YX3vvffmrtt///0BGBoayi2DrbBj+OIXv9j1fE9PD1dddVWyWmtPQLeBs4xd2JlltnNRdIrnsoNb9pj73onFsd/t1I6UTknJxkNxysncyzMX7ND1s4yxJlFDTOIwm0wGCUBYt1kpDDoKac3MYKLQ1klrBvsazDQVNe2xcNFC/FqDUGm2bBsj0BGR2crYtq2Erab1bYmzRRu7YsizUzUqilB+RK3WQNCw9zcgai7ircGgMVpYN16Rj5cC7UpG0QG22H7ZfpZ1xu2Ubj6g8kGZR/A8jxe84AX8+7//e26J8IYNG7jxxhs57rjjGBoa2uF8Tz75ZHzf5+qrr84d/+QnP/lEi5yDYzCynf6OO+6YNVbFUwnP89osha985Ss8+uijuWNr167l0Ucf5T/+4z+SY81mk8985jO5dMcccwz7778/H/zgB5mcnGy736ZNm3Zh6SvsKSiT8U9E8Gf9DIqfHc0n+7eY9xxywGkB7YyGdeQQIu9LsqtQ9EWZE3NC0TNGZD4yUVPcOU9KPGl9N/bbf3+WLFmCLyVDAz309fr0NTxGBnvxhGJmagIpDD2NHqTw0FFEa3qK1uQUYdP5m7QImi2ieJmxDkN0GKLCFqrVJGrNEAYzcZyUCB1FNl6KUnF7WubFFJcmx8g+O+ejUsRc+ksnpXR3o2JQ5hkuv/xyvvOd73DcccdxwQUX4Ps+n/70p2m1Wm1xR+aKpUuX8pa3vIUPfehDnHHGGZx66qn86le/4lvf+haLFi3aZULkxS9+MV/72tf4q7/6K170ohfxwAMPcM0113DYYYeVDt67Ay9+8Yv5p3/6J17zmtfw7Gc/m9/85jfccMMNOadksKtwPvnJT3LOOefwlre8heXLl3PDDTfQ09MDpC+0lJJ/+Zd/4bTTTuPwww/nNa95DStXruTRRx/le9/7HkNDQ/znf/7nU17PCvMbu8tK7UT3d/JdaC+nAZGEDoPM3+y1u3rAm20ayN0nXaGTSZP7lS4jdnFctNAI6diOWMEygoGhYWStjqzV6OmtMR1M0Fer4fsSFQgCPYPRLYaH+hBiFCMFkY6o+5pgZhwtJEZIpPTxPQ8hpfXOldLGZBECrULCFrYsdVs8YwxSG4QnEdJDSi/jNyOTFp/N4bWITiuokrYT5c7buxOVgjLPcPjhh/PDH/6Qiy++mCuuuAKtNWvWrOHzn/98WwyUHcH73/9++vr6+MxnPsMtt9zCsccey80338xxxx2XDLpPFOeddx7r16/n05/+NN/+9rc57LDD+PznP89XvvKVJ33zwbniH/7hH5iamuLGG2/kS1/6Ek9/+tP55je/yTvf+c5cuoGBAb773e/y5je/mY997GMMDAzw6le/mmc/+9mcddZZuTY78cQTuf3223nve9/LJz/5SSYnJ1m2bBlr1qzhDW94w1NdxQp/gtgVA37Rd2G2+7Sfi/Mh6//hjhfUgC4rknbknnPFXNokiclqwEWRtTqKBmF3IPbt7ArGCCItGF60jBmlCKIZjjh0NaPDfURRxL0PPMpkS+M3JEGkkIT09vXR0zeE1AGTY5uR9QbCq+P5NfBr4Hl40kf6PkZIjLAO+soIoJWUz3fLnbVEegbhC4SUiVJo6KyslfntFNO482WK6Xya3gEQZj6pSxWeUmzfvp0FCxZw+eWX8653vWt3F2ePwEc/+lHe+ta38sgjj7By5crdXZwKO4jx8XGGh4ef1HsIIbjlO99j5cpVHdN08jeZywDeaSnxbJjNsXT2fOz0jnGb7OEUlHbH1XKI5Lodu29JSTqsVCouKspO8TgFwLqa2HD3WmIjyArwpMCP97oR+IBk3YP38ZXPfZq+aBPHHrGKvhrMTDd56JGNbJ+MaCqf8amAzVu2Mjg0SE9/H43eXhYtX05jYAiv3otXq+F5NWq+j+/X8OI9eTzPR3o+wrd/pV+j1uihVm/Y49Ku7vFrNYT0LKMi7LSUW0JcbMcyRqWbv1PZ70cffZQzzzzzSWdSxsbGZnVZqBiUPxPMzMy0rfj56Ec/ClgGoEI7im3WbDb59Kc/zYEHHlgpJxV2CtkBo7gSo3jeYfZpl7nfe+fzKFOKui8nzp9z1rlsy2tnl2PPjTXJXBN/MMIuL45TGGFX7ggJQsereoREI1m1z76cfOpaph//HQsHI3pESF3CwgWDCC9gfNrQakVYPSeemtEGEylUGCE9HUfNj6eUtEGj7IZ/Iv6oOJqtFKgoQsSKkhSWydFaIoUtm5HO67Y82nBZ3yo6Q3dKPx9RKSh/JvjSl77E9ddfzwtf+EIGBgb40Y9+xBe+8AVe8IIX8JznPGd3F29e4swzz2Svvfbi6KOPZmxsjM9//vP84Q9/4IYbbtjdRauwh6ETc1GmnHRSUrLXdxucuqdLFYv8dQZEh8BmyRUGIUzOx2PubI6rY/q9bFAsDphzndpy/ifWi6S97E4tsqt10hqIeGMeEW8gaOJCGgzaRNR8eM7xz2Fy/SKam+7Djybp6RtDCY96o4lav52tUYinFTUpqHsSCSgVIaIQqUI87VulRWOVIeEawtg4KXH5tAAtApSwyomUEuFJjFFoZaemJNhdkYX9bVxrdukzRaUle744zTNbOz/VqBSUPxMceeSR+L7PlVdeyfj4eOI4e/nll+/uos1brF27ln/5l3/hhhtuQCnFYYcdxhe/+MUklH6FCjuKbopK2fe5DNBFxaaM2k+XCOcnPTIlwCkp5QXP/kinaebCdGTLvqM+KN2mpHJpjMsrU9TMJdqkzrN2QLepJPHy3zi0rF03A1IahInAKLQOaQwuoL/3INTUZoT3GCOhxpNTTE3NMD5QZ2aqhg94BrZs3EyIYMle/XbjwCjEl3XQ2pIowuZvYj8YtEYLhVACIyPsRsuWxTEybj8hk3awC49jhVKINB9SH5Iytqy4kqfIrFQKSoXdhqc//enccsstu7sYexQuuugiLrroot1djAp7KMoG17JVE8X0nVAWL2W26/L3sHFKEmfXzHEX9r1zPqRpdwHK6tJp+mGHrul4Q8c2ZFf6WDbIi4+axGlWZHxVNNoYkHVMbYD6gEaHLaJWQBRoVq5YTK1ep7dRY2KiRaQCouYUk9slw4tG8H0f4/mYWPUxcSG1AaHt6iHrpyswwsZHEYASEiklWkqk8BCeSHXIuN7pap60mvb5zu6wXIyD0m2abndit8ZBueqqq9hnn33o6elhzZo1/Pd///fuLE6FChUqPCmYKxNS/GSvKXNCLYtxYYzJxczI51lWpiyr8tSi02BYLHfxmqLSJ6RjFchVp1N7xjM9SXsI95/bpMcIBBLw0FoiRA1EHVHro2dwlN7BEQYGB1gwMsDqFYs4cN8VLF04SH+PZPWyBfTXDMHEVjyt8IVEa0WkI7RRaKMxRqPRaKNiZcjYvXhURKQUURQRhhFRpNA6DYBX1nNSBmluztadHKTn4yqe3aagfOlLX+Jtb3sbl1xyCT//+c856qijWLt2LRs3btxdRapQoUKFXYaygbSoUBQHhk4rYbKbvu0scvnGg7go6CZ5pqTs057nXKYEuln12YGzrM06XTcXRS/3O66WZR/yrJHAhqTPOdIKCUiMkRjhY0wNZeoYrw8laxhPACG+CGh4mp4a9NagLiN6PIUXNSFsIrQCo+20kogjxCYroQx2Usm2rzE6DouvUUqjIoWKNw9U2qCU/Y1TQLXrS+3PpNjHiu1ZdKCdjwrKbpvi+fCHP8z555/Pa17zGgCuueYavvnNb/Kv//qvbTEpitBa89hjjzE4ODjvGrRChT8XGGOYmJhgxYoVbUse/9zRjRmYLU2364rLSMvuW0bbFx0iwaTKiUkHOccqGDcXsQPlm0t95lrn2XxOurEA3TNOfVHi3OK/NgiawNjVNokHqoc2Ov5pMChqtQFkzwC1vj580yIUhqmxCVBNhG7hi4geTzMzOcb0+DZqfUN4ooExBqU10hNJLBljNMYIjA2MjzAS4RgWrVBaIZVCSI1EowBjNJ7nIQ0gXeA2HW8y1B4LpaydyhTL+TiW7hYFJQgC7rzzTi6++OLkmJSSU045pTQseqvVotVqJb8fffRRDjvssKekrBUqVOiOhx9+mFWrOsf8qDA37CrnxK6Dd6yQ5M/tfBl2ZFCbzb9kRwbUMiWl2xSGW+UjYi/a7FofkTjYugi5yZolq7ThoYVBCA9DAymg3jeEntlG1JqgVq8zNDRIb992ppvT1qE1hEAFBNMTqHAav7cP5/OCifcxihVBy4Rou0mhEGBseHuktCHulUJIZSPRaqvK2Ocp48i36ZLpJzJV5/bymU+Kym5RUDZv3oxSiqVLl+aOL126lD/84Q9t6a+44gouu+yytuPf/e4P6B8YSOcRhUBjrANSfExrg+fZTZaUsg9AyvIHMJvVM9tLlEsr8xs7icxlVlPO5pN18jLI+CUqcxorOtmVlbF4zH4vr1feIosDGbU5xFlTywoJVVr/FHlLuqztnHUmENYBre28+2sdy0RSkiwfHZc1S2+2Of91dizMlm92609ijHsmMVWbCVZVdp+59JlOy/6y+WXzmK2cnZwnO5WlSAMX+1f2d3aPD3dsamqKl73sZQwODnYs058rdMmznO35CSHa9lLZESahG7OQpLESMvFZEIlgau8rO4In4mRZ7HtleXR7j2a7b1buSCHjOluGJEMoxdc7bSWXMSAw0kMIQaQiGv1D0BphYmIbRkQ0evpYvHQJRgjGxicQIqTZipic2Ebv5DZ6BocR1ON7pPId3D46Kl0ujAChEfEOyFZBiZC+Z5URgz0uQAjfjhfSlT0/3TMb45Ztn/mIPWIVz8UXX8zb3va25Pf4+DirV69mYHCA/v4B6+3sBjzyL0onoZ3VtrsJ/+IDnquCQjdB5NI5ny6Rko7JnCFWuUrnSMsUirkrKNB5t8u0YLEnlpusTYRWnhK1FHCnuefyOeP2tus+5+6EtXFBjYyJl9dlCFoDoK0V4hozk2fxGReRHcC7v7zS0r5J/jqnqJUpGZ2UpDKFqZP/QZnSszMKStmxbF9w7VNUQrK/i88xm34+WVzzBl1k/lzkSC6rOQzMs/dhlzh7fzeY7doBqqwsc52iKkO2ft3kXBt/YPLfM+oPApnsapMaZU66xGt4jMYIERsk8d45RiCFj1/vRwyOsOEhwfT4DDXp0Ts0jN68nWZgEMK3clyFtKbH0WGLWq03H4UmbnsT0ym2jnbKBx1htMAoDy1DkAKpvDhfmbAuWmjcpJVTsEyHtp3rNNx8Ulh2i4KyaNEiPM9jw4YNueMbNmxg2bJlbekbjQaNRqM9I5HZo0DkrXEoHxA6vThStm9lXUYZzsViiU+WKinGHc90JqfNZwmC2MCJXx5HSLZbuWVlcseKgnDWzmmyr0/GtMi9+nkNvSST3K88G5NaMnmhmr6kuXuIuBwmzcEZfFLYJYHGyJgqVQWjZ+6Dpnv2XZUH9wSSbNP2LWvzsvZ39+mmSLjr3CqMubB63eqczassj9kUdGPat2Z3ZawUk87INk22P7jf+bTtbEEZk9JJkS/m0e1Zu3RS2vewGHq+qAyUsWvl9e1+/7mcK8uzE6uY+y1EKkl1e1pJep64HhK3osnJY/KGmbERZnHLkd2t4sgpzdBQrw2gvV4e3zJBTUqk77N1ImDbZJOB3l7qjR781hSTY1voH9/Kor4RO07ZYqT1yDE5BtBoDWhlY7FoidCglbTPDR/hSXuR84/RgJddMC3jKar2MbFb/+tseO4e7BbPtnq9zjHHHMOtt96aHNNac+utt3LsscfOOR+NwQhQc2jU7MvZsaOXpC2ziLPo9LAFAqFjz3CTeodLSH47RcUAyhKvSacqFUYd6tZJIBWtluKgkrXMy/O17Ek6x5mvZ3GgyuZX/J69v622jUppmQgnAFyYJHdcu5vhFv0lZbOp0MLqVdlpu05KaKc6ZK8pT2uFRkINY0r3wSjWvS2XEmVmLhbzbExQMf8yJqasTwPJqgDLiNiPSyOESFaPlJW1UlC6obtRI6VMPmVK5lzau6zvFlmw4rNztlE35qT8uvI+VNZXi4pFW57xfwmDjEAKmXzSdKnOIOiu3LiWybVbprmEEMj4Y4lig/MFST1P0m9OPglhYtbJJHkaIYi0R2gaDC1aSSh7WLdhK49vniSSPYSmzkygwffxaz5ahUxt34pqTuGhYhXHGllObtnyxEwKqZwxRqF1hFYRRkXWN8Wt9IlX92h3bfyxba/j/FyEXVP4pOgkN+YDdtsUz9ve9jbOPfdcnvGMZ/CsZz2Lj370o0xNTSWrenYEWfajjAbMD47lrMJslmQRndiWTAo7oKaKO4i8v0TyUmXZm6xmnS2rSWnGYvm7MSmQ0vnFdNljc7OQsizH7ANm97zKj2fLqLUmuxTQHjd2nwyjE/VaaY009oUvm8YqsmTd2qFMUemmRBTPZRUXKWVSHqVUx7zK+l6ZFb1DbFihfsUye56XsCOdlFk3jaV19pxI6lMsX4UUQsztGUG5oZBlrmx+5X16rsyFEMKN8rEp1M6+FQ2LjvnMcr9uciExzDLyrkR05r47JUU619ZC+pjjSPJJyQiTS2MjnJjE/89gjRtDzMjGg7lMrhGZwT0tkJQeRteYbjapDyykf+FSHnxkA+OtJmgf5fUy0ZzASIlfq9EjYHJ8K2PbNrCktxchY18UY6eUbJtatSWeoLFqitZopcFEgMDzInTkARIfGRturq4alAEhrTMtAkSqnORrsucYFrtNQXnZy17Gpk2beM973sP69es5+uijuemmm9ocZ2dD2QvVbRAvu75IYZYNBGUDSFclJX6TEiUEy0YknV27N88ey/lhl1hU9qXu3hadUJzCcINf+SAbC48dFLCzWXezoSyd53lJTICk/gKr6DkaFoMnrAWWVUTLnnfRSz377Iv1KdYpe22n/IuDvLNo3UBTJtxnU6jL2mZHlKmir0kxj05197z2NrKDpoj/2mmCCuUwpvy5FJ9BkVErvqdl6fL3yT/HrLFWzBvhgrelSkFRhnUqWxbd3ukyYyDfT0UyDOcaq+S3LXM8kItYOcmWMVcm9yV/Qrj6A8LEykfGMVgIYR1ME/lqcN5uSQ6Z/IxrPFnDawxQ76mxdK99+fVv/8hD69bR3ztAvdZH2JpmJoxY0NuLMRC2WsxMbKU1M0pjYBSEtkOAkXbZsXFtnjEEjcEohdGxf6UXoYQHeGghbXA6HVdc2tD4UgrQBiGdr2DBEM1Mo3d6jvOJRdmtTrIXXnghF1544U5fX2YBQGd2o9ML1ynPuTIqxWsStsGQ7ebxS5QR/DmHk0y545fFJN2pu0CYbeArG4TKyp6WlLzQmIOO0Wmw75Q2d8e4DG30dEzyGmGVFaVV3FYaYQwqCvFimlyTPqssY9RtMC/7XUQnFqJ4vlOeTyQ+SLe+2I2JyZ4r8x8p5tnpfmmeOhkB3OZmQjzxwGF/ynAMSif50Ul5KTN8OhlM7u9sfaL9fvl7likSZbJvLn3fKeTFfJP7GccQFPIoeQ8Fqb5RUJFS373kSEndXV2zBxLlzFgHWMBxK5bhjlfpZcVfUkYAL04jwfdQ+PSNLCSUPtsmZmgFgrov8Qx4Enr6+hno78Fs2cTE2AbE4zWWrvTp6R/GkyCka2tb2BzDYQxxcJMkyqyQPkIqjJHWT8UYG/3WeLFRYa8xBoSWRf3KVaitreYr9ohVPHPFXBWP4rEdVVzKjrUPdILs4hf3kiWp4s4osglItX13LFfGWViJokCZTWEos95d2dPSmjIJ0bXNdmTgygrlovWXrMwx8bJNQEjriyIE/O7XvwalOfzwwxE9vRiRTou4vztrDXRiJ8oUnLIVMe5vlnmZSz8r3nsuSl8Z41bWF7Jl7nS8/Z0wCAnGxHUUYKqZnR2G6wPO3yfLxnVSYIpTaEVH/rJ7ZP8WcoyvjT3dCvedm+yLldUu6TvVxRkcTrIk6dMLOyrRmR/5e7mrOxQ9YU7AytLYtwRt4qmdvGCz2btcY/oBJ6dTpcGmU1Y6GugbGmG/Aw9m/aOb2LZ5K2Pbpxnur1snVyRLFi8gUtNsm5xiamIrG9b3sGSZpH9oBI2275P0EgM210omfR+10ggRgfSRyipVwpNx1AONjtkUKSXxamTLyEjSOmXHpDkY37sbezRJ280KceeLTEI3C7pTujKhkKSJx/A24SDcKRfYOBPQWGQ+dvQF43bVpE3l7Vb+TuUqWi+dBtziuXz+WXFiX8yU5CkXbrN1+G5UdbtyBbaLynTqy00a64iDDziQ23/wQ67/zGf4/e9+g1GhTRkLd6VUXGA7n5soPSWOYu1tKOJPN8bFtk9WAckqRlnFpcwSnquQLxPY2WecL3d53y07VzZI2Z/xICQNQubvbUyssKAwzBYT588XnWRNp3ex27VlTKgQIudkW/bJwz5b+w7bvllcJl5kHPMOvNZZvlvI/WJfy+ZhDay5tVe5nOsi9zq80nk56JLGPjgmnezAxAsUhH2fjUm8VewAb2QisO2UikR4Ao0mMgZRq7Nqn33p7e8njEKCMGSmFTA502Tb2Bi+J1m0cISB/gaeUGx8/GHWP74OowOkicBEpIsFbP52AInliwGhBVppokgRhSEqitBKYUMeOJmn4o+OPwqjFUK7cardGbZMLswn7NEKCuSFrIhZCW1M8unU8O2CuXzA6ES7JufdxxArGCbpCDl6zSkjAqQhXuEDooM12mkgmQvlWjb4d1KyZkdWSXEqVrvQtCt98vcva7NuFlaxDtJZXcIgUGAEnvGpGXtuYGiI57/gFH736//mqg+8j29/7ctMbl6PiQLCUBEGirDVQreaaB2hjA01XSbw7QGs4MpYW92UBTDJlEfZsmAnoIv1yta723Mpo8nnYvUU+3KZIp9dRZLmn07hSGmFctZB1g02OxP/5Ac/+AGnn346K1asQAjBN77xjbY6v+c972H58uX09vZyyimncM899+TSbN26lVe84hUMDQ0xMjLC6173OiYnJ+dcht2J5JkkAiM9VzQqXPrstaV5FY7ZL5CaRtlVKe4Zlsu7OcuHpB7ZT0m54j7lSZkEnswpBa6MJqtd2BDvrrxu5ZwQ6bFYhSj9gFsxmfmb5FVimCGSKkgMMiuvbG5pS8bPTHogpTXWPFlDeg2kbLB48TIWL13KwOAAi5csYmR0mOGRIYQ0TE1P4HmSnkYNT0R4IqA1tZWNj97P9MRmap6iJjQYRbp60WCEjg0Bu6mg1lGsdEREUUAYNgmjFkqHsfwhXolnlRNtIsDmabJsnHH3Slf6dNTydjP2eAWlONh0e8Fz2nxJHsX0s51Pvb2zn8wyOgrKhc0s/i5y0WTnKoSKg34xmFZZ/eaKzlZ9qoR0HrBTK8Wh6H9R1o5lwlKIlEkSxMuLjRMZdsWOkBIlPQ454jBee94rGawJfvaDW7n2Ux9j24ZHMVGTKGwStKYJWtNEYROlQkxsVRSZDlMQTk54lrVlm1KcsRaLzyOrYHielzveTTFub9/2+xYVwdlYmWKZ3fdODo0iXvZp4p1d56oglWFqaoqjjjqKq666qvT8lVdeycc//nGuueYa7rjjDvr7+1m7di3NZjNJ84pXvILf/e53fOc73+G//uu/+MEPfsDrX//6HS7LU4lsW7vIyC46soPrg9mVUWWKbvFYuSXsdsiN7+McykVe1uTLVc72tDMQOsMIm0TomUy+OVYnM95JIZCmyLKkYQUSlcAt7Y2VleyGesZoROx/Jk27giLdd5cuI5NMdvAVcQwRSMJAkEStTo0wd512dRYGpMKYKK56DWHqeKLBwtHFjCwYJQhaTE5sZ2CowcGH7sve+6zEr0uUiRgaHmDRwkFWLBlgdMhjeuwxpsceR0QTSD2NR4BHhCQCEwARhggjIjQKpXW85DhEq5AoCtBRiIpClFbJs9Ja22XJOlVQ7BS5G5fidk/qnKpi8w17tA9KUeB2stKLFmlZHmXps2lK8ze2nxePJ0N2mQFisglmrWJHdKJ9s+Utlr8szVzqn5dCtuDdBsIypalz3u3H070xbEAlY2yIaiNACI3QIEQNg8ZveBx80EFIpRnt72f7pg186fpreeX5f4v26oRRgMTgKYXfMOD58Xyv9XSnMEWTKHkdylgsf3ZwL9a1yJ6UrSLKnp8NnZSlHb22yOb4vh8PjgrXHk5Bs5ZmPHwoa6UliucO9N/TTjuN0047rWPZPvrRj/Lud7+bv/zLvwTgc5/7HEuXLuUb3/gGZ599Nr///e+56aab+NnPfsYznvEMAD7xiU/wwhe+kA9+8IOsWLFi7oV5ClBUQO3AYZCexK0RcU+uk9JfxkCWsY32B6nxU1BAHEvgnl0nZrNMTrjvjhFOxzEr/LKiLE9UZK53FwrLfGaFSXpfHZdRZ67PCR2ruGT6XJljbFLhHJxAyXxN6hTnMst75NJqE09xaqu6SOnFm/vBQQfuxx9/t4iH7t/EfvuvYM0zn8aAHxFMbKMVztDT14sGwjAkjCKmZ1q0Ik0r2IZWDXzRh9ENFBKERMo6GonRPgYBwkMrOxUkhUH4PlpHoCQagTQC6Xn4nl0nZdnPWLmVBm0sC53ajRo7nVV8YvMHezSDUsaaSPcmGrunTXFwLBvYyyyJrgNJB8GcG8CMsbE5jPOisFNALl22M3RSEtqto7xwKnrLd0MZo1RmjXe4mmRetMhPd7jX3OfG2+FqYoMqGaQReMj4eZokwqMnwROw7sF1LBoepcers3BgmA3rHubO229HRBEqVEzPtJiemmZ6YpKg2SQKA7SKgx/F7Imbt+1Gdbv2z6Z18U2K/anIRrh2KVMUs3/Lnnk35XtHUNZP3DPxPA/frwHZJY8k50Q8Hy+FRzIfb3aNSHvggQdYv349p5xySnJseHiYNWvWJJuH3n777YyMjCTKCcApp5yClJI77rijY96tVovx8fHc56lB+/SelBIpvFjpazcisixJKasoRI6VzJ3HDpwJ/1dqGHT3bs4qVcUyJGWO/eUSUiZhOoFYrsmM6uBkX1ZqzEUeWKWq5LyAeA625Jp2wzTp8wlbE59LbgKmw95sRbhI5biyQcxY2cZYunSUvfdZwoEHr+KIow5g/wNX0dvrEQZT1GvQ6PVo9ELfkKRvEEYWSBaOwuiwYqhvmjpbIHgMEWxAhluhtQ0ZTSOJEEbFkWVt+2ulQClUaJkUpSKUjlBaoZS276iWaBXLNqMss2ac3wrJ+9smZ/T8YVL2aAbFoTg4lFkgpVbHDuRdZCWKml3ZPTtBGOwa9sLA12kQyrId7TR8OzuxI6xQWT7ldREZEylr3XS+jzH5YFPdypc8H+PoWFKfHUE8JYadjxU2BsdATw0vCHnwngcYG9vOpvWPsXKvVdQ8w223fJsDDz0U2WjYFzgwqKCJClvUGj006g28Wg3Pr2GMFwc3amfLcmXLDDQ5tqXwTDrFnenWR8rYrNkYrk59uZuSlS1vdjl2lk2xyperY7slnfob7Rr7Zv369QClm4e6c+vXr2fJkiW5877vMzo6mqQpQ6eNRp9suHgxrt2zxoTW5f0r+7v02Yo4oJh7R7L9QOTfyfbLy42w7LOfda8u2t+FXPYll3Y43DHf7PfZja7Z8uyQRyc7M1FA2uVbThU0IIU1gCOlEMLgeYahoQZPf/ohjJx4BHvtswyjWggT4ImQml/H8yMMCkmEJ0K0buLpgN6aRkYRQmgEgiCStCKPUNeQ9UG8hsLz7L47hhoIH200yhjQGmHAR2BENnqLwIv7hYmdHY2IJauRiHjjQ1dnA5l3u1JQdgnKOjV0pkG7KS9lAqPbCyKSATtFLo/s3wwz6cIsa53OQ5vCtdmBr9Mg1ams2Xpnry8qJMV6l90/33b2H4M7J0k8yDvcd7ZytgnEDP3qrDETN6Aw0nqySwMe6KDJN772Nf74q1+w+fGNNGemaTVn2LRpE1vHx2kawY9/eBvPPuFETBTZNo9aqChEK7tDaE3VqdU10vMR0reDSBxhtbR8pHEe5qIUdxuEOqUrS1/sn2XtWTxXdrwsiFexjNl8Uz8da23Z81k5vmsYlCcTnTYafSqQVQCL0ZxnQ6d0iT+JMbHNIHBzonlZYXIDdCc5UmRLOt53Lgxexrhw7297+u75zNbvO+VTTJb4VGTEtBAibr+4zrSHgrDHi1+cohV7smj7XQrwPMBESBkyNFznaUfsh+fNgBegaaL0NGFrClkLqRuJ9EGpCEmI7ylkpFGEaCJsfCdQkYKWQSuf1swUsjZNvXcEvzGIrPWjqSOkb6e8JZDESMkUWIERHp5vp7M1UVxXgRA+bvPTRIF0wepir5v5gj1aQcliNiFffFHLrJZius75W4cjoO0lTKwS8vqLKLl3IjRKFIkygdBJmSiWv6gsdENZmvaBzO0Z4c3qQFos82zH0zaIf5NvU5N49ksEHlKAkRqtQx685x4evf8+PGBksIdmw2fZsuVMTrcYGxvnrl//mmOe8Uy7FFCA1KB9RRQGRGEL+gas9VEHryZjy1an1kWmfEUGpJNynP1eFgq+03NK27ocZdeVpS/6uXRSQmeLMJudbsgrK+XTpE8EboPQDRs2sHz58uT4hg0bOProo5M0GzduzF0XRRFbt24t3WDUoeNGo08yyt7LbgqrTZNe2+nZlIWpT++XDrGdGLnZNkUtU1jbyp4rr8kdy1WE9Hz+d7Yvl6fLsjvd+ryTTymrm0iodLop1VByf4sl6yYv0yysbJBG4cUrjLQOEaIVGzsCrUNC3SQIZwiCKVrNKfAj+uixCqUOEdqtGrKrTX0hLKsuNFKFiCiCAFQkUH6Aak1R6xum0b8I6kMgetAqrq/BOg0bg/QNvgEhDEoCyqAMmNjnTgofLTXSCOf6a+uDZ6PRmnK5tbvwJ6Gg5IS3O+g6dyHNXDCXgTc2YNrSzya0i4KjTJB1u/dcBoVOgrCbFV92v7Ss6aSLvW7Hl5kWy9AuQE0yc50VNyIWM8ZZisIuXewfGGLl6r3Y/tiDzGzbyGBfnS1hk9b0OEsWj9I30EuPDzMT24iMQHo+dd8GOBKeJDKGpusvliJA+D7S80DH1kQsoMu2BejEaGSFXJY6L7bXXNpuLmxf9rwQeR+F7DVFQe/SdlPIy+6bveaJRMnNYt9992XZsmXceuutiUIyPj7OHXfcwRvf+EYAjj32WLZv386dd97JMcccA8B3v/tdtNasWbNml5Rj16K8zcveuXSQLR4r9JNCl3HPyA301ohImRPbrbszKNl7dVMEcjLL1s4yCiZvUFgjPUOzxVdkD82mZGfv2c0YSNuI5G9yLE5jQxXEqovJJM7kUZq/ELn8cuWSEmkEIl5xI7wAKZsYM402TcKoSRhNEwbTCLeSSocYHaJaGqPA9yRKeHaVjs4y5SZe8qzRYQsi8ABMQDjRREeKxpBACkDWcWuYEBJPxKEBjABpMBKUkcmiJSfa0GBcKPykzgaUrbdRlYKyS1DaeSBRjV3HnMskaNkL2V0ZcEN2B2o0wwoU8y+yJcX7zRYxslP5i+zMXK/JF7v9ZTUY3MZxdkzqJmjL85q1LJQ9JmshCKSdP5UazxP4xqDxWLHfQfzke9/k5GcfynCfz2/vfoimrrNtokWtVmdoQR9bN6zD7xug1ujF+HXq9Qae8TFABMzE7a6NwdM1/FoD6VsxYT3e806JZQIt+wyLfh1lwrizkkbuurJ7tLWQMZ2FbJd7lt2jU35l+e4oJicnuffee5PfDzzwAL/85S8ZHR1lr7324qKLLuLyyy/nwAMPZN999+Uf//EfWbFiBS95yUsAOPTQQzn11FM5//zzueaaawjDkAsvvJCzzz573q3ggXQcnI2hmP09dW9Gyg6IRMjlFRQh8hs/unvkcuug3BbL6n5n+4sQsZNsJ/+Mtve//T6lMlukuew8K+eY3sz7mjEik7GgUB73Pa13XhIl+kr8rzGx0iMAY5AoPD9CygBMC2VaRFEARtNTr2H6evF9HyntlJCQVpah4iBqAmq+h1GaMIyACEGEUQEeironUeE0JpTImiYy29HCpwfw6v0YP1ZQjEQYgZu9UdqgPIPEw0PiSYFRts5axiEunBIm8uONVvMnAOMeraBk0fmlNLn3ppNgLhMW3WnFOE3ZeZFlAGYvb/b3XIRWp0Gmm5VUhjIaueRumTQ6acv2QVAiMoEPssJttgHPMl95Cw0ckyKQRqKkAc/6f0gDWvg88/gTmd72APv2bcVrTdGcWcLjWyOmpwMINSIMaU1OgFdDyhpa1tBRhIkjzGoDRlqHMYRI6E6oITwfRN7ZNWuxlg08xcFhLlRp9pqy/lYU7Nn2zLIaXTeJo3zqJ6tMdVp+WnyWO4v/+Z//4XnPe17y2/mFnHvuuVx//fW84x3vYGpqite//vVs376d4447jptuuomenp7kmhtuuIELL7yQk08+GSklZ511Fh//+Md3ukxPLvLvVlFpdcdShq59uwT7nXj1RXbn6VRJEaL9OXWShdlznQIIFtMXjR47MDvDhXTVZOaaNB8rBUvZoF2AueTXTQa35+OEWyqBbDNnGEohEj9ChEaKACmaSNFEqRmCsImUkobXg280M3orYRgifYGJQoRvffeUtj4nUmqMVGgCNCFaKJAKKY31LYkUUtatvApaaCUJjUTIGo1440A8uy+P55gqDMazqx2N8AHPKi92+RFg4+0Y4aZyNdY51smFaAeewpOLPVpBKbX2Y84xeUkLL5BL20lYdFNGoKCFpxnaPy4vQzLYGZdQdFy1n7tPp4GgOCAW61KWruz6ssHLFtGAE0CF+qXHOlv+qWLSvX5l5bUKColfj8tNEC/NliBjD3cQNsC6UEgRcerpLybcdDfNTQ9gZB0jNrJxw2YQ9oWdmZ7GHxiyFkuk0VKluyRHYRzwTaKkwPcERkkUBt9mEJfNcqSu2K782ambTqt0ssHbsnUvPu+ygSXr95FNU1Q0PM9DSkkURbnry9iYbH5FxapYhtzz6ZB+rjjxxBO7phdC8E//9E/80z/9U8c0o6Oj3HjjjXO+5+5E1oG8/Pws7Rdb6GVWf/HVa/9dbgx0M8I6sW6drkuuycoCIVJDoxAYrqycZejG6O4MOrVwPttUdgmZKS8ml15ARiHUQIQnI3wZYEyANiEY8GQd3wOCJq1mEyEMtUYd37dxEZSyy36lMPHy3wgprT+LiQOxGRcCQccbfQiBMBpPRxA1Cae34/l1al7dKiFSYLREhTYYpUChRbwdhfEQygNsPBTizQ6NAK2sf6GUnjXUjKmmeHYVOtGGud87oL3PmY3IKBup9d+FASnyi6VZlisV2XPFAbCT0jLbfVLhWJhnFSb35ubVhc60cXGALZsuKA6+bVZeljZJ7ircDKuNp2AkxkiUENZBzUQY4dEYXU2jJogCZV84IXjgwQ2MTc2w8dF19I8Mo2o9UFNoHVudws7j6ihCiRaREPieZ1fziHglj9EYLbCxjKyFUdwd2MEdL3M+LbbHbM/GDQrdfETmcizbzrNNVRWfXydFJZvHrraI/7TQvW3K3qF8u8cOsaaEweiQR/GYMfnNKju9l2XHO9+js28GxIwKbnNPt/O1y9/Wq4hOjM+ugsn+jZU+R/AU29a2U8reJqEOIF65I2yQNKORJkIQIAkwMsL3PbzeXoTSKB0iDfT19tLT2xPnZIjCkCgKMdrGTzHaBl7TYYAOAzxrDqHCiKAZoLSPqGOXFWsFni2jaklaUz7Cq+M3JEZCpDTCk2AkQviABqkR0kejEcKPA4Va9scZ0NoIu1w5PqZVxaDsEnTrzGUWQdn33CBvL0ynbZzAdv8akqVmmaOAyRoMTxhFi9XVp0ywlClS3err8sqiPZ9sZeYuMIrlLZ7rltZ0UICM1jGDYhUKYwQ6ZjMEPtrUEKKXWt9CagOb6B/cxt4rR4hmmjQ2K7Y2m8hgCtk/gjIRwli6E6PibcoVKoLI82i1Aqj14EuraHjSiqmiEC9S8V2ZqQ5KSTHPLMqWN3fq69nBx7E1nazkMiWjE0OSLVf2+tniuVSIIfLPrOxdLX1/7ZxC8rP9/c5PWsx1QJ+NzSm7V9e8s+xJmbzJGGXGvqx5Q+QpQHscwXi6v6Ra2TEg+Yg0qcBGs7aKo0KKAEGAJ0M7HSNs6AVlIGiG+GgkAm0Uvg/1upc87yAIMFpT9zy00uggYnJ8AhVE9DYGqHk1GjXNpImYmW4SBIZ6Tx0jBEFrCt1qUusTaDyEaCBFDVkDvDpaS0wkrHOuUeAphNBoWbOKidFgJMSsiRQi3n/VKigImezHNR+wRysoUG6Nd7LmO/0WInYaMqQvmxPaScbx4ey9k7+2Jyd5lnjki9wVO1a/bD7F453OF8+VDT72vLFr6ZOBysmenN3Rdo/ZlZzu6EgZZ38XjxlLgwpjtxg3noeihjEa6Q/h9Q8zONSPH7aQahqfJoO+YnzDo/QNL8GYBtrI+OVN90XBCLRSKBURhSE2jL7BGB/fr2Enl3TGByCvlBQH+WJbl9WxG9tU7NOd2jWrDJUxLmVKbvbenRTZYnmy591+Qp2i7laIMcu7apOUtZ/GZEd3IA3/rpmLDJlNTnT7XqZgFxWoMiKknWchx8aaOAL0rjTkdgrpPhrtp6xlCiZd/eOoFmHs6hojDAINugVmGmOsQ6wQNsqy8AR+XwOUIJpp0Qpn0CZEeg3iPZPtaqtkV3aDjiL6Gr1oqdCRQWIjDtfrDaLtLWaaM4zUfWTNI2jN0Awi+qWPZyAUdeqNXqT0UIDWPnhWxkkdKyhSozzQQoNU4IIGSi/2wZOxomJ9UbSppnh2KcoEetnx7Pk2q9LkX7I2iznDpuTfV5H7nm4X0UFVLylL9n7F49lzZYNUGYVbvL54j2TgcjFGjMA5uM425hSt7uK5bnXKlrmsbm0DKGCdt7SrCDgB4awx4aG9GiG9DCxcyrZtj1Bv9LFi9XJCHeFNNlk/vpVgZhu9ff0IIa0RIWyYeomwe2vEoe9VGOL5IcLUbDh8KfBkjdRBuH35aBazDdplikA3dmRHHG1L27CgKJUxiGVl6casZMtXoRw70ja5dhWpcpLKL/t+GjN7vnNR/Lu9u2UKcln+Ildkxy6TDG5CpMzoXGTKUwOndBQNn2yzu7gpeWMzI1kRwlDzDXVplwtL6WGMTrcBEAZZ8+j1epmY2MbDD93HkpVLGe1divQEjZqHkQIVREhhV/Foz5IbNmiJVRQ86TEyMkSkLb8chRH1ep16o8fuqBwFBFNjIOsM+A0rC2PaRxKvuDJgPFDIZCsE4fwjjcYYD6ElxpOxkQOzPrCnEH8SCgrklZEy5sChE31t+2Q7EzMb5VlMk6U4c4PGLIN6WZlmG+zKrOayNMX7pEoNMTWZHXxmV6zKBFjZ4NWp/MW2NUXaOsnUls+zr5v1Ok+uiCeFJAgj0drH6x0hFP08vvURekcWsvWu+6jJGh5TjG15jMHRlTEXgn15hYlfUoVWIUJ5qKiJijykJzCihlYKIeJdlKRVmDo9lk7MRNmg79ohm76sf3XyeSle362vdrKIy55Z8T3KKiaur7louhWeGNpZrnajJN3td9f4/JSxzWXodg5TJiWyClRqYBgEO0ublCnbjtUueRvaC1nIp5hUFA45pSp7feIoK5ycIp4OCZAiAG13Ena7wApBzEhrgrBJb1+D0dFhRkaG6O/vpzkzZWWNtj50WkUoHRKpgChSKC1RRqKNYWpqii3bWvh+g97+elIi6QuE0mgTECqNoobfO0C91oOREoNM9knSqJgVEuAZsIuOrTEtBdrEU1HaOtprCVG1zHjXoGjVZQe+boN2WT5FBmU25qXteFuvz0Qw3AkU6+GOFSN8dppqKaLItKTCsX0ZdtnAWRwEi9MdSTnS9xm3dM1FddSmXWikSgoZmRKHZxN2s8XklCDeKDCeMss69QrJTOjTt2hv7v/hzxBC0qKfVtik0dtgfMsG1MoxGrU6AvsyYmKrRYIxCqMjVNRChZ5dGSMkWgikVnE5hQ1Hi8x1lrIuVqYUlCmzs1Hqs7FR7lynfVTcMaVUotB2Y2VURjhl+4pSKlePanqnOxI7ZRaWkdxwW/aM58bCdmNZy+RFN8OrG6uXvHvpz5yykogBkabL+YLExlqnsrYbaZC20VwFalbOFE7lxHQ85STcvjUkBpvzN0w5lDgzoRFuPx0ZItF2DxwjbCTquNASw8TEONOtGWSPj6z78ayOFTpGK4xSbNk0zuYNk0RBRKMuqPk9QB2MJAgDHn90K16tl5UrB2n09DAzExJpzfDwIAKNUS1aM+P4U2N4/YMgJUYLtPBscZWxxpjTc5VCx5tWypg1MUIitcZIz04HhcEc2/nJxx6toHRCcWBts9g7UN47g/aX2x1vSzlnhaVsesd97zRAuIGnqIC4/IrfpRTxKoF2BW8uVH5ZG+eUvIzu4OSFjIVBomwU8hfZfOOPdFaLwGr8mGR3VIkTdgKkREUNagNLGF65Lz+7/WfUvX6mp8ZZONKgYWbYvP4BVg8MIvxeMBrp1TBYwSKk9UPRJsCTPsqrIYWPjGOhaBVZ9kZ4CBH7AsT3NiVttCNTOWVt3Yk5KSqgRRalmK7IfhSt0bLyFftZNo9sXhU6w1njTnm0xzo5tUO7fEhX2rnfxeuLhkOZcdLW52TeIOimsLQdiw05t+wVk/CY8cCesiVZlSJ9u5Obdi4fRfmcprNJO/W7wnGRsV0ytzaZ6Wxh7H5o1lneKSgKIa1fnjNcXdmd64iHRkoFKGxQNWWntoR7JthdhCNNraeXBcuWUuvrQwGe72P8GlpplNZs3TjDb3+xlagVsWr1IH19daampmn0eAwO9nHQIR5TkwFhq4Xv+YyPhUw3Q/p6+2n0+NQ8jZAaVBPVmrQhFDy79tEILzUYjcHEGxsaY6w/irbxk2zwOBt6QUgPM4/ioOxynvbSSy/NWepCCA455JDkfLPZ5E1vehMLFy5kYGCAs846iw0bNuzUvbpZnzsqQBPNvyDki5+54okIcGfpFul2l29WIGXTOfrdpdNatwXoypav25RY1srOpsumLW4P76wrCXjCOpa5T3b/27zAiu/rWBOsNeOc1ISwc77WEdkD4aGxQsDutGuX1RkjwathevtYss+B3P/oZtY9vpnpSOLX+1iycAFjW9axaf2DeCbEk045M/GsLNajXil0FKDCEK1DlApQYYCOIz8apUAbG6MgK6DniOxg3+2ZlLJTmWfUyTLv1F+zv7P9Jnu+bDqqE6NT7CMVylH27rQbSHE/TDV2aJvSySsNZc+nU38p3jMH0d537AXuY9JPWooMY5K5JmudkCon2U++Pu3l7CxnM32wvCZzgstaGuvLJoXA8+xA7VYKOkVIZNoGYgYbhe8ZpLSKgRCKVnMKpQKkB+CCH2q0VgwOD7Jw6VLqfb1WVmgQ2H2/MLD36iU859n7cczTV7BotJeN68f4/V2P8/j6bSAihocbjI4OMDDQi+95LBztZ8mSIasAao00Bg+NCZqEM1PosIWJQrSO0Oj4EVoWxShlfe2i0H6c310Uxd9V/P1PfIrn8MMP55Zbbklv4qe3eetb38o3v/lNvvKVrzA8PMyFF17ImWeeyY9//OMdvk8nqrkbZdmRMo9Nik4Kz65Ap7J2EixlVnjxWsjvmuqs206DUzE/Y3QS6Msdy+dRoEEyZS6yKC7KYnvdcndt9zbJTO0Qe/oL5xiodcy6OItNIImX+2lIppEMIDWh0ixdvTd77bsf9//hj0R1wcbNIc95xkE0owk2rV+HETVW7r0/oQ4RfiOup1WdhAYVaowIEJ4fD+a+nWdWuDsjhN24UMskWkLbcyl7dkUr17V3MW1x0CljTTopKWX3K7Jrnej+MiUlu4NzmdJcoR1l71+27fOGRbZfiJh6SBUXh059aLb7t/927N8c0JasXR6U3L3L+Ww8no43KaSZWz9zRlIxeU5JjOW8m3YWQliW1E36JNe2s0cijhwLNvialB5aGaRnkB52yiWewvGkZHBokKYXgmrZaeL4rtJ46AhazQDf91m8tJeBAU2rGVDv8Vi+qhcjDH7dTq16vqRW8wjDiJpfo9bbi4iddT0vXiasIlQYoIIW4FspKWWsgEpbY2OwDjLu/dZobfdwUjG7gtC5ad7djSdFQfF9v3SH0bGxMa699lpuvPFGTjrpJACuu+46Dj30UH7605/yF3/xF0/ovqVWoDuZfSEddSfsQNiNRk9t5FiYlwwUZeVoP+j+MdkDba9mJ8EjhIi9sNOLiuxIMRhXIWfIOMPKeMOrrMAoU4hkbFKkp2KaV0pLCYpY0OYYF3vcKUBOyGSLJEy8mDIjEES2DK6pcsqV4zqcmmP343SWj0bgyV76+n323f8Atm3YQH+voK8vZGp6nIGBHsanJ9i+8X4ELVbtewihsQxMMuUkDJECT3mEYQviFUOe30ALgzEhni9BGjR+vGpLYUP959d02baIn4XIPDjy1m4ZS1b2dzbruFt/zPXpAktTVDyK9ytOC1UKyuxwlmuZ0lhEu4KYPdd+bdk0T9n39htlMsz6VnQmV9pOJW+iyR8VIpvCUH51B7lUdu/cu+D6HxQvzyuC8f2zaQyp+ZAznhKJA/Fg76Z0THxOxCyWTaetgqFDhAzxPWKFQ9EMpvBNg97akDXSpESpFuMT25jYvpm+uke97oOx/h1GKYSpMTUpCJpTDPT61Oo+UoL0fPr6ewmCgJkgQCvrrxJFijDQ4As7TWQsAxwqiNB4Xh0VNIlaM3iyjlvRI2wA2WT8SUcfmbSNVjqWs7Zh/uQjyd5zzz2sWLGCnp4ejj32WK644gr22msv7rzzTsIw5JRTTknSHnLIIey1117cfvvtHRWUVqtFq9VKfo+PjwOdBW/OYdAYhBu43aDgnlLc4e2KDtp7f5osFRTEvg/kBXaiZbt8oT1QkMgMWNnM3deSgSqNUKoQbhJU5NmjMiHVZqmTLv+zf50QKRec+TxiK8/dHzflIhNZkGvvZDC2cUbS7GMvd9cYmb8i1vBFkpdJFEh3PtdcQjhiPK5LFOsSdTzP44gjDueHt/4na459FmuO2o9wbAO13hpBqGiFAeNTTVrBozT8YYzoI1IS4TdQugaihygI7AZfaCJPoo3Ao47nCVAKD+zSPCMQwk0XxduGmvinAJCphVxsqw5tXtYXyp9LijKLufheOBRXfmmtk/gmkH9/ZmPxKnRHGTs1Wxumb2b7IF9k1tyxsuOl5Wkfq7ui6AOQ3idVUpL3lWy/deXPXZ05ZgrH25mi9nRpy+TSiky5YtmUrWdma524bDKWMzo2imKW1vmmJEqJzKhxdkrIkwpfhGBCNBGhamGkRngifs99MBHTM1NMNyeo93jU6zWiVgsdRqA1KoyYmmzxizsfZWzbVo48YinLly5ECLttRU+Ph5AQKG2j1qIxWhOFiomJCfzekIULBhAIxreNY4TPaP8A2tjpGxkFEMdFcQ9LSIGIdzs28dSPiFdHOiXNDVrmTzkOypo1a7j++us5+OCDefzxx7nssss4/vjj+e1vf8v69eup1+uMjIzkrlm6dCnr16/vmOcVV1zBZZddtsNlSV5g8gN69hjEA28GbcI/oV3TAbNN+GeUHjAYIUqlgMjSq260zrzonah8Ibw4+3bfhKJAKk4ZCNkei8B1wk7CMruZmImlkchsEuY4DHDTHkmhbS2FE0YdLLmcqpevr1VUTEaHsTSmYygsM2aSrLSxPi9SxqtQhGH1Xos4/rlH8YJT/4I+Wjwyto6h4X5CQoIopG8QWjMzTE5MMd0UCNODlgP4PYvQ+BhPoEJbNw34PXZFj6CGMAKFRogIuydQHJExUbLc6iUrBBPqnnyXmAsDV8YKFtvKoZui6eACrGWnGYrXFqcjise63a9CjLJ3v4T1yJ8n6SvGZDPZsWecPdaxj5WUsVPKzupOZ1hn1E5nswpJOdNS3j6iU/JcVkmfJSEOXK4xK+ICsclUFieGTsyexPLWGWT2/hqtmigzTagDPE/RbLXwfJ+e3j6E8THaKgI9jQaNht2cFKNBa+tkKwVKWdm3ZHEfHpOEUUgYhdRqdtpYGUMUKbsPj5D4niCKAqamAzZvnUF7M/T1evT11Fk0OogRvvUhCQPwm5haH0JGGCPtMmNPII1AesTT485SjhnuuNaWEfc6t+9uwC5XUE477bTk+5FHHsmaNWvYe++9+fKXv0xvb+9O5XnxxRcnu5+CZVBWr14N5BWFojCHeOWIYzYSHn8HkKUVc2NmmYUp3P8uecc8M1fYAbiE8s/Wq7g8tJOFa0+a2CrIC0X7EqbKWicfhFxRC4LOGJNhoNw0TcbKKOhfWbHXbvVnWRzXHhlBIeysbpa9MsbkBGYszlFG4BtlqVfTZPHiHs4970XgNZlcv5EoGMOIHjwffNPCyBaCJoYQqQ1bJ7YwE9UwtW30Di7H6x3FmB4UdporCuL1RNpQl3U7P2wCEAIh7fSP/S5wci/pcxrc5lxlFnWxvbPPpKhYl6XthE7KRFG59X0/YVKyaZ0SUzb1061cFVIDIOsf5trd/c7Hk9EZrSGrmHRu4yzDWuw3szFxnVDGeeRvmh7M5ykyf+fSL4pSsrPUTNmR+KyTsYkiklHok7dOJ7mmZqqVOSJzhdV5TMp250ge5zWi8aTG9wy1mnWm9bD73cxMByBDensNvlshpQ2e9BgaGmZmQqNaLaSwq7l0GBG0ApozTYZHBhkd7WVgQNiAb0KiQttPPOnjeaB9g1dTtIKIIIKR0TpTMzM0mzP09TbwpEQbaDZbBGjq1KjVA/DqgMIIFS8qsOyuDWdvDT5tbIynlE3BKlPz6L1+0pcZj4yMcNBBB3Hvvffy/Oc/nyAI2L59e45F2bBhQ6nPikOj0aDRaMz5nvmXMnZiNKRWd0FAazsZ1/5ylgwepuSciNkSkUnXLZ9OpkXZ4OTKml2qmKYtE0LO7yPrHJne0ph00CsOPtnfRWVJkCjdqYBy1cFp41kKNh8KvdNA7CSeVWxsHWVMsRr7Iy14Np9C8CcpfTwjkLQwYgav1gRaNIPtzMyM0ZyZwKghwlDhSet0q7Sh7klCE+CpJmpyDGotplsT1Ef2ojG0Ah1ZDxMfS48KHwIfQiOQnsHzfFTspyOEQHoeKJG++AK7dM8o11Jxm8UWpsk2pnt+7f0j+1yKfSHfnp3ZkLKpwOzzL3v2naaJivevkEdRqS8qo+6Ym6KAeGzMKPsmY71n83XXFxmS2aZ30oSFshbL3uF3kf1rM86SVMXvmXQmn1dZ+TsyTPYCIGNwxn+y+kX6zbS1aVqeEuUvO/fv5JIBKQxSaKJwGs9v0egh3s9LMDKyEEOIwIvHGKuUamVA2TSJMmWso21Pr8fWTdPce9/jjI4OMDQyDNIZlQJtDBOTAc2mot6ogYgYXVxnYKhBoA0L1BBKQXMmpK/X+gJOTUww0dQskHV6+heAH6GFh9QaRGx4aIEWOg2179pSOkUtL2vnA550BWVycpL77ruPV73qVRxzzDHUajVuvfVWzjrrLADuvvtu1q1bx7HHHrvDeRcFqvue69zxd0vBp+stEsFbeH/KWJhuKE4jdXrBuvkUZI93UhCyDEq5DwJYFSx9ydyW71krq2jBZQeuMt+DpLymMLwm59297G+nEBnTXqeydnOZ23LJmJURObGWVZKSwmBX+Yj4PsJYylaKAL8+jTETBOEUQiuGBvrwpECiqPsCHSkEGr8mCWZaIK2nfY2IqDWOCFvMRGCER61vETYyo0AaCLUh0gqvVqNuBDrSGJ9kjlcrZSevpJcoyNIrbEfg+mLGEnU1bqtpycBW9r2IoiLSaTowi24s3Y6+F3/uKCqGbQq/MyZQycCQMo/uWQGUT/s6FJms4m7abc+rxBCzd9m5OnY+llVUsukKnv7JsZRxSuVBSamEUzsKqwOddkAq790CCNs+Ls/UWIsfQUZmkgzeIv5uGWMFJmDbtg0M9rbordcwaBuYzUjsTn0SIW1wNJREa6vE1ISPQqKUwSiNUi2EiFi6fIS+vgGMVvg1E0eUtbsRhy3FY49to9UyLF0+hNYRnqfw6x7CeNRMnfWPTyAI6O9t4AlBb08vfo9Pf28PxBFqjaxZlk5ohJRxILkIY+IwB8TB3Nx0v3B95k9YQXn729/O6aefzt57781jjz3GJZdcgud5nHPOOQwPD/O6172Ot73tbYyOjjI0NMSb3/xmjj322Ce8gqdMWbEHSLV2YwfwZMCOu6Z7lWYT4qXHM3l3Sp8V8EUhnxVaRcakeK79moKSUJizTlmT/KAmRBoi35WlLO5KVvlyudrBNCt+nLAotk27UC0baEvZJZO5OrYwReY6q/EnCwMR2C3QjVZ4XkBNTBGEk2gNAz0DjG3aBsLYNMIQqCZSaAwByBZatxBYBzNPSEwUIZhgZtt6pN+DEHW0FmgBJqZNDREy8vGkb+OiSNumnvRjL36F9Ox8r1Yg46XcCavneRgds1bFlrOTz2Rsmh1WDrql7dRXi/20qNAW+2I1xdMZeRupi2Nz6WNK3+3ZDJj8PTMDbcawmCt2reo5W245EyQ9OlsfT7S47CFjVwWWKkzp/aQUpB5zmXxiYWafkba7/CLRkUKi8TwbmG3pkhF8MYlWTaQ0RFGA5/n4NZ+YRI4NLG19QiJlg8EZjQoUQStER7acjUYduaBB2ApRUWAVM2HQ2tZnaLjB2PYZms0mni9QWmDw8Lw6EsmSJQNJ0ZWKmBifQssGgyMatMK4GFhao1E2NpXnIbQAz8pY4Yl4mbHE7nFmdqi/PBXY5QrKI488wjnnnMOWLVtYvHgxxx13HD/96U9ZvHgxAB/5yEeQUnLWWWfRarVYu3Ytn/rUp57wfTsO5pCEGDYUV93ktefSQaDsgRVZF1uA0nLtiJVbrM9syCoq2ujEAs76yJbRwJ2YnqICVTxvmYrUQsHYecy0vKn/iM2rc1261S+zYDlVHqVTh2Int/g8wsSB3Qy+iPBlE08G1Ose0vQRhU27wVbdRwhotmasYDEGoyNmJsbxRQMiTWuqhd+ooYxd3ifkNqa39dC/sAetNYEJwdQQhAjVgxJ1jKfBeHE0RoGR1mlWCGF3ThY2HoGKInTG8dhLnJR9jCw6PLsYLwIye/+UKalzVVrKpnLK0pSdy/aLMiW7QjtSKz3/LpWyWclGnVnWIZvXDrK5In1XoEQGZQ2kOeW8cyhlfjKRZp0gTeXg7KXKGiXtJ7L1LC7XFsm71SbUC+2rtZ2K8TyBNAYpFEIECEK7qiYe0JWKkPhgBEYbNBqMDYaGVpgoRAVNVKvF2NZxtm0Zp6fuMTzUA9KzctoToK0fWGTSeCTDQ33Ua72EUUgzCGjNSLSu4zckCE2t7qPCkDAMmJps4XswvHDQzhHoOKik1kkoCKO1HQelQOjYB0XbhQXGiDhcgjUGnUyfD9jlCsoXv/jFrud7enq46qqruOqqq3bJ/bpZFMV0RSsRrBOtdrSfaX+Zd9SHvTg3PJtwKRP2RSWi7Hz6wuvcVEh219NOUwNZFPMubUdXl+xUS5xdEkLdMRq7QgPP3d60CVRh4qBw1i0+JhsUmEkwUzYUt+cj6yBEjYlgmnrdKanWo95oQ9QMafh1VCCp+w0ELTZv2s6CxUOMb99MPYjwI0GjMYjXvxBl6mAUngoRviL0NSgfoQTS8/E8Hy0jhPCQ0gMVb2MuPZAC4dlli1JKIp3Sri6WjJAy7otZ/wWnANqJYvds58pedJoSKrIi7lhZ5OGKMXli6KSkOH1E5NKWX1v2Oz+VnZ7Pc2+F/OZ4LIsn96kXFYaC9VeEyNdM4FYcGsuuzNpHSxSU/A1snsJO6Uo0mJCgNYkUk8i6tvLFWCMCT2LNJYVViuJN/FqTzEyMMb5lMyYMWffg49x/7wb2Wr2Yvt6lyNgvxBMGhbZyySkI2ipX9bqNdyIQbN06TRiGLF0+iFezZWy2WhilCQKINNRqHgadKiguTxNP92u7ikdbr31MXGawkbvdyqs/6WXGTyW6UZzJMUtv2C4pyAl515lF5uVuz8PkXn4TH8rcdFb2pNuA0pWt6HJdcjxhLtIXe7Z2KU49dSpLp+mlVAjE5zNssijk1aHwJW2WTGbkjgnh7mkvES5v4RzgwDE39VpIQ9qXTxiJEAZRFwjPsG3rBkZXL8KPBNITqCikXoNIalQstKT0GBoaIAo0fb29SKmJpifYvvFRRlb3o4SHVLY9tMYGeatpJB5SK7RSSM/D86ySKAVopxQbu5+6C2CHsNaZkFaoSek5qi9WOgXE+2TYJos3KaR82fFs6DZVmO2njoXrxJLsiHL054ziFE+5H1B+sOymGHYzUoxJnUbT+B/tz0jw5DImxXKVlRPIyKo84zEXZN0jDE4hS5mYREETxXu5eEzZ5c+Z5xEbqUYbMKnCYHQIokVPXSCkASK0EQijadQbCFFD4Ns4KHqGKJpCh5NMT2xny8aN3PPb+xjs62HfvZaydNEwvudR8zyCIEBrhedh9/UxVlEJg4AoUIxvn0Frn1q9hid9Fi/uI4gEiBCjBXgePb29GK3p6/MwQoJRYBRWosX7A7npL2NliN3EXdq4WsaA59mKa+KxcX6933u0gtLJnyOx5OOx1LokZlAYiPMWjIg1zk56h8n9ceVIrs2Uq8z6KQ4URaq+0/fi9WnZnQmWMifd2qjtnmIuLFF+abEz+6zeELdfxvDpVAaTaHd5J9jsffLXm9hiMolVKIWwW/IYEx8XcZoIT7TwZIARcawBYZ/9tvGtDCwcwq/XCGYM6JDxreP8/jcb6G0IhgaGUKrGpk1bGRszrFg5wvaJFiOjPsgWU2Mb6F24BG+ohtINhIFIh7a4KkJKD8/zkTKKWRQFMsTzfXzPx8Z70WBi/yIl7WofKZNBwxjsFuxCID2JQSPcytPkwcVMSknbzjblU9Z33Hd3TTFGijtWvF/2b4W5o0xJyawLzMgb5wOUv75MOUyet3H9yLSfg3QaOmYZ5jxFlzE+kgJ1eM+T0pf0kXy5s8pJwdl1VuQEb7kMEbG0EIZ2KZM1ozL9P5Znnu/ZwEraGg+eD8JojG4hRBhvJGjD4wstAGkZWSK0jlBhi7A1yfatG9Fhk4MPWIEHNOoenmhY1sUYar6HUppIBVapUBqlNCiIwojt26fA+AwP99JqtpDCx5eGKArBryEEBEGEQdDbiJ1zhbb77xiFNsqyr0bZx6btFiFCOHPd+ts4hcQFuGt/VrsXu3yzwN2FnJIQv6zCxBV01J82uWNFRSKxdNyj6tS/My9o8fqkDAW0zQ9nriubDirbrC/962SFSD5F5aSTIMuVzYWxL9bFZHMmpjrdzsLGshcy/itsNi7mokiEQ/v0lC2STO7Z3rBOtph4ywj7JKTRSDS+s45QdgfPOGuBwZca6UVIEdGaHkNKWwkVKmr1BisP3J8IuywYbah5DRqiD9WU/OJ/NvH7uzawavUI++wzjMDgyRphoPGEoCEVrYktmGAapQJLyBqDiRQmDFFBiyhoosOAKAiIgqbdFyNsEQRNItUiigJ0FGJUhNHKeu27jbpihzatFdoYwkgTKXsP9zE4FsUk/aObv0j2U0xb/J5lTKSUbZtAtr0fO8jeAPzgBz/g9NNPZ8WKFQgh+MY3vpE7f9555+X6jBCCU089NZdm69atvOIVr2BoaIiRkRFe97rXMTk5Oecy7C4U3wXXxxMGMlHciQcN95x17vqyPKGcFcmec5HOs+l2dBAytIvDnRvIbC756cU5sidC5IzLvPFGei4padre7bK6mLf9a/ehMXbaWCu0CjAmxJOKmoeNJO2YFmHARJZliSeQw7BFEMywYKSfwb4GfT0+g/09hM0AFSnLUCqNihRRGMV+IhCFyoY0UNb3ZdXKQUYXekxObWds+3ZazaZ1wve8xB9vanqGyclpa8wI8Goe0hOJ74lVPOL+ZEzy11XeyWpjjN1M0JhC/9v92KMZlCKyHV5Qtqwvn66M+ZCiPTZI8bq5TNnkyzO7tVEmgLIrbbIWshAio8DEVhF5f4Ky8rVP5xR4jKKRk6ZODubLWeRBnHLSlkFc7kzeheZw0zbZ8scLBQGTDJxpveyyYmsRRAim8D33kgVI2YNWBt8X9A314+mmjQKpBSby8D047MiFzExMsXBxH5PTLbRRRJFERZrh4R7LcAiNjyRsTuHPTCHwY5+SWmyhWFbDaLv5utAGhERqk2xPID0fIT08rxZvnKmROnWsldLD97GKWzyVI2u+VRziYF7uuVsBavuCC7CWRdkUTtKeHRSN7HXub3ZJeycWZc5WODA1NcVRRx3Fa1/7Ws4888zSNKeeeirXXXdd8rsY++gVr3gFjz/+ON/5zncIw5DXvOY1vP71r+fGG2+cczmeOpQ7nOcWklvPRBz7mV5jU5TJhDjrdCrVsb2FNI4xaVNMdk3NOrKu7X0irY+J97Mpni/+m8iVWE44x3gRH07kIakocUyy46VyymBaOrKyzJYnVmDic3aq1cYOkVKhVQtBy/qMxDqj8CTC03E6ENL6c+goQIdNhA4R2nD/vY/g64h99lrBtm3bCEPN6IJRfM8nCkI2bBqnNRPQ31+nt7eOJwwCFe+wLPB9SW9fD9LrRRmfSNkdgXzP1n1goNeRRdbAiUKUlJjMvkJZ51crN2ImW8dWp3EBGkXCrM0nBmWPVlCyA3cZslakS+/+dhzMMy/BbOik/OyI4C5en9X0OylEJtORjLGUY5aeK2NmypwfbVVF8uLnykRGsAkRa+CubO1tmn4XxBOauUyNyViM2bzddc7KcS+UE04iplPBWgPO9wSJEF7sMKvxhV0qHOkWgW7SwzBS9jAxsYnJ6W0M9dRRYUgUBMxMRXznW3/g6KctYXSkn+GhGvVGne1j06A1QTNkbKbJoqULUFHEtvEphhuDRM0pfL+HUEioWW9+ERskngFjFEZaf5hIazztIz1JFGm7rNg3oLUVaFIjTLzaBwhdBEnPs/EXIpUyXFpjkmcnsPFinBXX3ZLNKiWdWJcsyn0l0ryyys2OCLLTTjstF2W6DI1Go2PAxt///vfcdNNN/OxnP+MZz3gGAJ/4xCd44QtfyAc/+EFWrFgx57I8FShvJ7fKLR2IZTbaenzM/U6vzTwTk5n6yTCd2aG9MCrvEsTjW2ZKijaZ0QnJCsrkmvy0epGdKSpV2VnNZPWesXnIWMMQkLDI+TYvCLfY2VzEId6ljP3AbOVsADYBwkRoPYMnm/heaBUUHcs2oZF1u0Nw1AqtUaEjdDSD0AGeUYShQoeSZmDD4Y8ML+DRRzawacNWlixZgoo8Hnu4ycMPbmG//Rax//796KiF0aFlUrVBG2GNnZpEhxKtrLO9iTXSWs3D7iskbDTvRJDbhQBouxGgEZaF1rFBp107uQkUHStryX49lYKyS5CnCTMKQ/y7yDYUGZH2wdVZ7nmLskwYdxLeZXnOtS7tUyL5exfvIWKBkVLEeSt4tvICGaFB8tud6Wx5zVav7O48ZWyVsUGBcvc1GaMpdfqVTkFJBLVTyGKnUmE38MJMoaIm0zPT+PU6UvroyNDT00tvXw8mCpFGY5QiCuGA/RfZPYqILSBjkNKnXjds2rKV7ZMzyJpmyaJRli4cohm2UM0p/MYgGo/ISLyajy+8ZAkfCBu0UcTMj7Dbr2tjkMYQGYNRkWWDPD+OjWKVLBEzRDoWuNJZa1KC8GKLKF7iGLNL2ugklkqnZ53tx2XsShnLV8YwZpX9HVXA54rbbruNJUuWsGDBAk466SQuv/xyFi5cCMDtt9/OyMhIopwAnHLKKUgpueOOO/irv/qr0jw7bTT65CNvaAhnqgPZdyOrjDh08uEQyX/tDIbo8L2tVDv57NJhPjPgizwfkqmBOx3/aqdmM2QQjgLKsj7JpqQiLXfCdiS6R9nKzVkGV5H+EfHcl21PW0ptsEuLpSIMJxH+NFKECHQa18gopsYmEBJqtRqoEKlDwuYU4dQktGaQCg45aB/C1hRCGLQSLFmylOmpGYKgRc2vccB+S1i2cJBWM2Jsa5NGj3W+V0oTRtYnRWtnWEi2bp1ASMmipQOxLHDPQmafCsQBOq2S4hQ8q3wYRGw/mqS5hEwNxPbntXuxRysoRUYkGcxj67vMyi9GSy3S3pAOzWVCvIiyaaJi+WarQ1EBKioipfR8Ep7YlYOu13csj5M1pH+Lws5ZJtmjWesuzcu5s6a0bllbJDFN4rfKCW9hQCS0a1bZ1IkAM8LgdnQW2NgnUTjBQD94UmLMIIYQO57bF7TH7yVqhQitEUIxOb2NsckWK1eP4mj2iYmQMALhhazae4jF0RCtliYMI3zfY8P6R1mwskG9dwFG+AjhxwIyQkgfu9VFzGTFq3XQGqWNq4Fd+hevzJFK4Xk+nu8hpG8VaSnw4+eriCyb4vkYYwO9uQdt55xl2jqZPV2K0zrJoylh47IKcZZd6aSoFPOy0027Bqeeeipnnnkm++67L/fddx//8A//wGmnncbtt9+O53msX7+eJUuW5K7xfZ/R0dEnZaPRJ448y2mfYUmqkrbNyrLiFLN9N54cBXF2uGGwfaKmvETZd7hosJBoKSJmaJO8coIhd1mBwZmNOSyeN7g9etoLnJbV9wSSEN8P8X0dMyxuOsegWk0efuBB+vv7Wb16BcpEqNYk0cwE4dQkmx57jKltTRqez9BQDb8mCYXAb0imt2wiDAWLFi5kcMhHmBoPPrgZtGblisFkByEVmbTO2mBMxNCwnSp2vkm274hEfqbMs21Po2MlRQiMsSENbAgG23aun2mtEfHy4/w0+u7HHq2gQF5JSebNpciPmx0Eb9nUSnHAzp7f0Qc3l7n67PTLbGxNcj7poOk77N7x7BRRtgzur4ynCcrqWVROysra/rutpUg0RNodkYnPOgXDjufxKiFh4vKlVpZw1KVJA+0JEW9tZRRShARq0lKjRmOMh1+r2WBp0hCECh8b7KzVitCqycrVixgdXUAUNgmbTbSQbNs2QRAY+gd9anXwGj0oHcaxAwzC+PTVfevo6muQCqQkwq7Uk34N0JmgawZjVMJGpYLCxDS9iZc3a4itM8/z0DKKByYvaUdhbJSFNBCfRBmNxI/lUb7vZNt8tunPuUxPFpXnrJK/q3D22Wcn35/2tKdx5JFHsv/++3Pbbbdx8skn73S+3TYafTJRbH83mNi2K/FNKTFsStnYJ2HsmC3LIlczd+XEtKURMeuSMIIFJVmK8hV+Ivets29ge40K7ZqwWe6ahI5JDCR0gNKT+F6IJxTGRAipEUJjUExPj7Fk0QIGBgYRKgTdJIrGQTYRvubxxzfzx989yurlizn0kGV4JllewPDwCNIYwsCGo/c9w+LFkqgFjz06SRCGLFvRh9YQhRqUlXVGaMJgBqRPo8dHkwb2y8agMtlAmdrKFnCGuwY80lU8me1NjEYYSeJIO0+wxysoWaFa3Oyum4JQPJYTzsaUCv4nUsZO5Zir/0B7fdzg1i7EikqB+53dnyJzkf2zi+rmdih2nuClbU9ezAmR+S1SKzGtp4kL6OqjkdLEm3i16O9N6U4VRdT8XpTSCBVgohbRzBTNiUl++8sHWbVyhIH+Gn5NoLXE8+uoZsjSpcNMTWsmJqfYtsVjcMRjcEAyMzXNls0zLBodir36I4xSaKni8tlASkoKwLdO1qh4xZNM66eVnSeWAq0UwnhIY1DGIKSlcI2xU0LSs1FvtTLYOWZjlZF4OkfoeFUPrp/G32V7X+j0nNyxbN8qm2bIXlOc5nkyLfn99tuPRYsWce+993LyySezbNkyNm7cmEsTRRFbt27dpRuN7jq0P4u5O5a2H7fdX7QNHmXM7c6g09VlQ373E+2sRdmvsr5WNv3uTKDkd4kS3Vk+Z42d2HAD7DysyTwiexchwJMaYZp4fkTdN3gStNJoHRG0pmjOjOFJwcCCEaT00KpJpKZpRVOEaorINNnnwGUsWbyAmqjhNyRKtzDaEAYhWzdN0ZxSNGoePX0ST2gWLugnDKFeazE9I+OlyJ51vFd2jkYIGBzsQXh+YVd0x6A4uiVbL9viMcGS/HbKoYl3M7Y9U/Ikvs47jT1aQek4/WIKVGAG3SxLR6FmfyfH5yBEdhadpnhKp3Ycy5PppJ2uz9apTDhmPRc61aKT4Cprk8QRLrEXOjyDJA+SiLAmdlrL+p8kc/fxVSJ7oTEIE4KeQXgzKBMhjaFe60HKGkbPoKJJJrdv4g+/+D39dZ++Hh+JpDXTjAOkRSAUURQxM9UE3UAKHyFDjAnBSIQn6R/sxa97GB1idGBDQRu7LFgoUES2v9WIhYe0q6mTujibRYB2qpidzBLGIDwb9tqGSND4xvqrSM9HKWw4bdxztSt6pPRS3yq3n48u7y/Z96Qbw1L8XWTfnkrq95FHHmHLli0sX74cgGOPPZbt27dz5513cswxxwDw3e9+F601a9asecrKNXcYsqufHHMATscod0Zua+OYJjXY5f7F6ZAnVsIdS9f5jc6nKwsikKQpMZ46KbxuYHXGVdxsXVlByMqMvIy0CkqGOhb2nUz/izBmGimm8WRgQ9wbG75emYjH1z/Kw+vuZ9XKFezTP4CKAoLWBGEwgVIBYRCA1vT19lA3dUwAJgqZngxRJkJHhkcf3s5D923CoNhn3yWsWjVg46wYQRDGbIcWNtK0EHheDWWcUSacNRcbJXZVTv7ppExboojEGwZahtet2IFsUDbHuAgpO46duwN7tIICHVgJujMCZfR22bWdhLjLY7ZylN23LI8yC7bsWiEEzsnavbh2IHf+Ax2WViedFZwvRybj8vuKjDBy1xbqWa4gzibG0mQiaYOYthUi+e4SGZM+Bxk7c0kjENo6xwrs3jsueJLUHlopNCHNmW1s3/Io+6wchVAxMmCXHmMMYTQDRhEFEVErYnJyBqNbTEzPMDgwSKhaIGpMTM6wcOEwQkIkrKDSJgIdIbH7HgnjpZtzSbcrq1VUpEh3kvbcvjoGEDEFG9fZ8jAGiUSpKGFHYg4GrU28wsf9Jl4GXVAqaFdwOz2zTr4lxedcPJf1d5krJicnuffee5PfDzzwAL/85S8ZHR1ldHSUyy67jLPOOotly5Zx33338Y53vIMDDjiAtWvXAnDooYdy6qmncv7553PNNdcQhiEXXnghZ5999rxbwQNl73RR4U7RyVgCN4DaV1AbG5dnVzJXs72ppedz9ze5dBk1rHB1zPpJly6bnXu/21eQSIh3LLd/TUGpS9pOiIzszvb7wso1I2yuQidvHbj7hsAUQkxax3utMULHG4JGLFq8hN6+Pvp6bQgCTESr1SRqtTChZmLTOJ7R9MoazfFpZsYDTASPP76Fet2wZOkwK5YPsH3zFFu2ThC0IpTyqNd9ZlpNNmyaRitYurTfOt7HdXHbYbiwA8IZJInSFSsqCVUibFDqjO6itUYLjTTaGl4iP0q66R7pOts8wR6toORe1LSf2g7ZQbFAuMFQ5oU4GScjumvpnRSM7L12xNpMXs4O922fW80OMjqjrGRipxjIr2hMOZQdEW/Zoa9t5UCWgnbtbty0QzoNYbWddCWDEAKRHo6NArvluhUsLlcX2t3O22frIKVC6SkaXoAvhA31LDRGhAgBOgwJZiYY6e/nf77/Uw49cB8ef2wTSxYtIQgiHn5kCwMDdep+DQEsXtTL+ESTQDVQxq4SEkLQ11+3yoKxe1sYHcdDSNo/fWZaa4gUQhq7fNFZOnEIeyMyMS4waKOwq5G0VWiwCofdMExYRcjxXzGborW20WmlAWOd25IGi5U5K2gkblqs6BjeSTEp69sd+0Un9rID/ud//ofnPe95yW/nF3Luuedy9dVX8+tf/5rPfvazbN++nRUrVvCCF7yA9773vbnpmRtuuIELL7yQk08+Odlw9OMf//icy/BUwq6+ir/HzwGRlxkO2bYs7jIuINffXPrkPk8hL+9UpgwHWvgb/3JMBianzIiYXTTYaRN7rLDaiYJcIdMG7nsHwzJJn8nTOdS79hMmfS/s9KkHBqSIkKIFNJEywOgIpEh2hfY9n/7+QXr7+tE6IjIhWgfxVLPEaI/RwYXo1gytiSnGtmzn3t8/wujQIpYsWoj0QzzpMTo6yNOOqjM9HbJ58za2bptg2bJhpJQsXtxDGGqUjlAmjiwrfHDKiYn9d3Qaf4W4Pa2dZ+WMNiannDhRkDSDY6B3wrh/qrFHKyg5qy45mJ4XQqBF+sJA2vgykyZ9oUTu2m5TQS5NNr0710lwF+l2h6yTbFZA5f+SaBx223B3P5GwDEm5tEk6ZNFS2RG463XGkSzVd6yiJ2LpoTPTOzJu82Rrmdj6QYCUdgltMtEhXTvHwivDqNgLfCQRUsY0pbHLcg0zSMbwvMAKHaWhZle/aBWgmuN4UQsVGhYML0RrQ6PWx/RUC0/W2fhIhFnUYMGoRkUhUaRRRuD5kqlx+73PN/T01G35HFulFETWWc7gYaRAS/CMiAMMxILZWAtIaxs/xvO8+Le2yqO0OoZVwExs5Vg2zPdrqCiye/ooK3AkBqT14rde98JOcXke6JjRkHb+Woq0b2T7ZbZPJYqMTBX1rJLs0mYDtrm+6tLuSH868cQTuyo03/72t2fNY3R0dJ4GZWuH1pFV0o1O3k+ZeUezbZxF2++M0VQ6oGSe51M5BReXKLb3TPo+k2fxvKRcguTVJrbutSnkRqJ8pGvUirfMMqyZw6mlk2cQcesKTSJSjLEsrNROCdRIMYNgAk+G+FLTnJqi5nng+TbekczEHgLCqEnYHCcMphEqstG2ZY3IBEg86rU6RvtMT4VMNqZp9BoavT34NcPAoEdPn0dv/yhhGBKpCGUUft22S6TsPjrKuPHETu3i4rUIkSwNdtMxUko0Em1AGYPxRGIYxRUmy2oZY1BK4cWrA5P+o2IjbJ7gTyPUfRe2w3WoLNUtChZJTuMuy6ODklL2ySKbb9v8arY8hb9l98pxGaZz+PJO87lPDDFtSJlocILJLeEzKf1o4hD5sYB2wZDSyIbl9UuhkahEyLhjngRPTOP7LaSMkJ4GAu757e/wIoUMpwgnNrH50Uf57S/+yIKRAWoNn5GFI2zdtolGQ3HkUUt58IGNbHh0iqkJQxAojBZ2Ay8/olbPsCKZohmt0ZGyz8CYWKlI+0Matj7eVdTY2C1aK5RSqeIWM01JP4z3/3CCQ2uNUgqlIrRSNiS+UpjY90WrMPnupvhseOv0N7jfad9wf4srcYoDnFNMimHvXUTfCt1R9u5rXS6nXPpsxOBOyBsIeTk01/e+09tmZvmkCU3yybE5ThYkzFFGZriyaXudFHbVmud5iUKd5lOmnLQrctk6i5hdTUNE2GtcPknbCI3dXFzGSr5CmCaCaSQzCCx70tNTp1arMT09Tatpdw3etnkbM5OTYCKMClDhDFEwTRTM0GpNE4YtonjrisHBAQ5/2r74DcW99z/E+MQ0xmiarWlC3cLzDbWaxPMEYRgRBFHMmFj5qNE0mxHTUyFR5La7EEmIBitjnMbnlD83ISiSdsi2lf3kh8tO073zBXs0g5Ki80spY6cf4VRnIEtkCaxWbOKpheKgXzadk/1bRo9nUTYN1C1drlaFdNbiTe9fvKd7SXcGZUIrS7SatuPZtjQ566coLEXmOje9I0S+Da03uRs0M4MjmnS+SsZ7Ak0jxRT1WhzB0bQIZsbYb9/VCN0ijLYTmO0YLyJC4dU8Ih0SKU3dH2Tb5iZSRhx80BBj2xXN6Rb1nhpRECLx8WWAFi7YnMatLLJTh5Yvwm1ljhMA8X42BmJP2ficW2klc3VOBiuh4+BucRuYlNHQyTy0QMTnjcJGpRVerKDE2Qi37XvMZ7m+IfKsV1n/zvahTmHtZztWoRw5hjYjgsqMkuw0R1k+ndBJ9nTDE3+CnYxCGxsn29faZGfm/RdgZa9LQxdpLuZu2Vv9xMRTbVbeWx9Tt/zWi+VLgGDGOsZ6AVJoosBu/Nfwa/T392GAifHt3HH7HSxbtoAjjtgf05qEsIVUiihoMb51Gz7CMhBhRKQjZAP22m8pS1cuoF6X4ElqfsNO72rbLkErYvv2GVqBwvOtb4hSChVpNm2aptmULF1ep94ATGRX8xnQGLx4B/RYN0mUDzuNZmVJ6rKQjnrCMUglbZ0YTvMEe7yCImJaz9GFbb4gpJq+GyAd1Wh0hmY1BjMH578dEQZlDEfxeydk6fekHuQHlSyVKeOdcQvkxNzKOcu54vlkwMudSZdmZ/czSuoAcVRYd5Vpa5N0ALfKgZQStIoVhHgpHC0QW6l5AR6WGn3k0YcY376ZIw47nKmp7TRntjM1Pk5fT4MDD1iJmtE8vm4zQ0MN7vzvB1n/2BZOOOFgeno8wqgFeIShdYZTygYAM1KihYk3QRRoRyG7+tuQjxgvsitzJJgkjkDcx5BJaHLp2akaXP8xqYWZHIunhrS2ioWMpY7Wyoa/NzYEttXlYhc/4aZgrN9eslzQGNxWAHEEGZz4L/adIsqU8t3l97CnwiklqULS3TDJDeiQi7LskBggRebiCT6P9H12bEfnRCKXskxyiFT5yBhRRUXYfrf5ZI0bt55mNhWqbHo9zSadCiHb7gJs5Gk7ZSp0iKSJMZMgpq2yEq+W8b26jRyrNVEQsHHD4+y3zypWrVyICGcwMzPoZgsRKmRoGGz0oFotxsammRyfobenTk+jDr6h3usRhgFhpDBGoLWg1QoIgpCZ6ZAH7x9jphmxZOkgff0+OjZqajXJli1NxsZmWLykF9AEYQDGBnhM5K30UAaUM2hc24q0XbPfnQN+/vmm8ns+YY9XUOzglxeoWUg3uGTgrPjk+g4vUFaAZ2OszKakZM93mhvudn3+Wp0MZHkLPPUFiG8Kzp+hpB6zoRPlG+cS52mSkPOpgpGuTLDlFPkN7khXfSQe+ZBjW+KL40E2HuQh3n3aeZxLJBpPTuOJcYQJEYDveaxatRfR8hWEBGgTQGCoqwZ6epKND63nsQe3s3jRCN6A5BnP2JuN6xeyefMEe+29ECGn0dh9K2zwRg9thF3tI63HfNIexjHUiYoVK7fWInP1SY+lLIoxlslTmaivMtsFrFkUB1qSOd+PREkVMp671wipYuvJlc+Q7EKq49gGbqpHirR/lMzqFv0huvV5V3Y3jVWhE3TyfkCeVnfoxNaWvYx2z6nkRevI6D4RmDlmUTRM8udIKuuUEOOmIJK/ti+KeNC0Vn08HS+TXLqXoU2JtvlmGZhUrtsyxW8gCAU6whMKX86AaeL5lqU1xsQbemLDCKDxfFi1chnShHi0CGaatCanUUFIc7zF5LYJeutgwmke+v0j3HvPJg46aBX7H7AcjUIZRasV0GwGTE8EhC1NvVbD83xU6KMVbN00QzADy1cO0NtvvVoHB3uoNxrxpqBR7K4g460yPAyCVhAihKFWayDw0nZ2z1MASEzyIzXYjZExOW3y8ngeMaR7vIJiYdpe2ORMRvi6v55I13pnFZFiuqJ1U5zyKZvu6TQP3G1KqCionOJhXya7vNAOFiUMUSchV7h3JyWlEzvSntB14tTxzEkCGbNSJpNDsZwlUb7zabBltw6gLn87rSGM2xRwCiG2UvMiouY0qgm1nlqsxAharUmmp7Yho4i616CpphjoHyAKtvHwug2MjK6k3ohYtfcgk5M+rTDAr9s9wJpBRBBJMLV4tY1IXlorTG2oaCNj5zNtwEv7SHYzRq21nYwSCp1YklZhERAvFfTar4k369LGOtLazQAFeFZhESqyZCGWpSIeAN2qH+fwRhwK3zihbx9S8sCKfTn7nLLPpVNf3RF/hz9XJAMjgsRHyOQNoY5yIx5Q58q1PyXPISE1XKFMwthSorCkSnw7G5f2QzJyRCTT12XIsjydmChLOBaWcmfklsH1YwUiBAKMnsCXLSQhNt6JTW/3wVH4NUHUaiJFRM0ztKZmiFpNVBAwvX2SO3/yBx689zGOPmI1B+y3kL1XLYQwwicimA6RdZiYHCdSEWEEDz24hY2PjbNi5QKWL1+Iigwq9GjOQLPZpLfPw683kJ6g5kvLigq3ytQ66xtjg74Jz6PVCtAmZKjWY40GI8G3Cor12bdMisFOK3tOriW6c8pctRmN8wB7tIKSvNRdGI0yQaxxS4vzKLISxQfViVbspGwU03UqX5rOOknZKZL86onUPyO9Ljt90invuQwms3XHVDbpZB7TLW+G2G9BpI5Z0pOJz4admCncLcNfZ6lgiFmWWIZJCZgIDx8pAqQYw/em0VFgaVjfJwoCfvj977JmzWEYNQZBk5mJSZrjE+jpAOHDgU9bwczkNHjCBj+LDFGk2PD4hO0L0v6+/75xli5fRL1H4fk+Smk8vxaPFS7iooebgrLtC1KDSLbKySu1LvKlVTYUIJHCSyjV7DUmVkqs7pHmI0xGAYqXFxul8TBuKRDESo7neSil7PJHdy4O9e/a3pj2fjybr0lZ36+cZeeCdMA0xr09O5qFybEm8OQoJV3zzyoiBkT2HSZmCSFWsrP+calCkjBwmbyc1HAxyNIyxEpFwrDSxgwXA+G1STJBys7E9zTGxiqSXgsTjSNECyEijFE0m1NMTc3Q0zfA9MwM9brHkN+HkBptQprTUwQzE0TBNDXPo1FvoDUsXjTEwoUDGAG1us+ixaM0WxHTzYAe6dPb04tGs23zBK3pkMkJzfSEJloUIj3FkqU9tII+lNIMj9QS9lnrrJILGC92ltV4vo9AUG80kLKWGFRCOPnU3hy4afjiczUy17bzCXu0ggLMPkA7xbDsYZWwIJDfUNDl0/HeO6AYFfNJXz43K2hI4rFk9lRw5SuzbOOqJJCFtHO1dJMsRNlBJ2ZSyjoRPcL5Qoj0mth6tMKhKJLbhaB9t2KqN9mtGITQCBEhtaYmJoBxPAKMFEivDkYRhTM8/ahDaZiI8bFxRDNCTitqrZCf/uQeVq1cwqLFA/gjvUxMThJMa7QyBE245+6tCOmxYlU/wpMMDtYIWi1qPYIwNPh+I54ejAMfOQvGCY0kCBvWZ1amHFL6bKwl7LyIRMG5IGlNYcWHVUZUsrtxKqTjgE3axEqspWLTeDLtzJWJpwXcEkvjwsGZ7gNcZwu1nHGpUAaT+QCUv4e555awt+k7k/NLobvMmVupsgrAnC/K/y3L0QnZnLwpWUatLZMoE4YpPj6b1R7LiNz0g5MZ0jrAGmvfpVOnIpYnwu4mLjBIEdno00zhewGSyK6II+LhdeuQ0mfV4DAjwyMY7Co6YRRRa5pgahwTzkAUocMIFBx4wCpUq8XgUJ3/n70/j7Utu+r70c+cczW7P+0999y27q3G1bjsMthgmy4GO25AJAT/8SxZiUkQRMiORJBCBCJRaBQrCCkRET8sPUWQSFh6in4JeY/kmQDGOMTGvV1ll6u5datu355un92sZjbvj7nmWmufe27ZhW1czqt5a9fZe6+1VzfnHHOM7xjjO6zVTCYZt7f20FriSEAaZKSRStLpppw4ucxo2KXbSfw8F5ZeX3DyVBdjXFVQ0uGswHlaJRyWOFK1C85XQfeVieOqoKh1Du0EVimsVFgha+VMuMp0rAhRwlpjXZWhaKkQ2WrtePGe+Btt3/EKCvhnLO+mUIhmWW3Dgwfnw93iRL6e7w9DKg7bp/37+rsGJ63vJsCUzX7WD15ZWfGHKFV33BBfv3Jy19ZIyVrZCNe4eE9VpUwpazkVhNBBqRZYCWTrGQQlUwRmuRa5kpAGIcYIt0MSZTinKS3kZUm3G6GkZtSPme5uUU5mfPGTT3Hxmcu8/a0PcebYMtP9KWbUZ3eyS6ktn/j4eTbWl1hbW0KScOXSmEE/or8UsbzcAVSFjQq01qAUs/mEwXClRt3DbVvra3WExy9C39R97xcbzzArGkvTapyIqCQoQgS+2FqGgPOKlJCukriLKYL+uA6FRQhFUHG1MZ4TwTlCHlLTl811LTz7BYv3wBC4C1L4SnvxJgJrMGJB0bwr0lr3a7PIu4N9yDemFLp6lITPBxTO9rsFkbQon9qKUn1P1cD1WTOiTpkP11yLOeGqTLyWLR8mVfVVS4Qs3LOwIuhA/nzOVIHsfm54WgMRCpRXv/dxJAKHoiRijmCGEDkqolYEiiKn2+t4vNca4qSDE7LiSMoZ722hJ3so47WG+azAFpaV5SHbN+fsbO/S7/WYTQ3XL+9w69acE6cNG8ciekNFfzRERorltQGDYQejLWXhSR1V5Oj0ZEXEKLBC4KzEWMvt2zOEVBw5MsCn8IW1xT8HVWlj2jmsUGhijItA+HpeElsrKbVzvuoupB8TxnlkSRHKaLx8kNGXfCUf//jH+fEf/3GOHz+OEII//MM/XNjunONf/st/ybFjx+h2u7ztbW/j2WefXdhne3ub9773vYxGI5aXl/npn/5pJpPJS774xTnUyvWuvqsX6GDOt5ug5qMI+x68j6/HF3dYbMphysthv1u8iTZ82d6nUVb8AtUoB8HqWli1aITH13Qv3SGyGkuu9UXrHOFVuaIOcGQI4ZUSJRa/by+ItSVU36tAqSoFF79YS0lVCNAiXYYUuyg5w9qS5849Qz6fez4SUyIomezdopzvoxCsry3z3d99P9YJjHVoDbN5TrfTIZIRa6t90jjCuYJT93R58KERvb6HRZ2VPoPGKawBKRVSSIaDoSdNkrF39bjWgiKavrC23RVu4TFS9V2wh0Vgza3cL876LJ+Q6VP3s3VYY6rvQnpzCFI11W98kcGAGLpgHbWHF2KhH51rUqNDPyzMoYML6IHx/Yqy8uJtUQZAgzne2drfhsW8QVdDkc+7H/+b19p8IosoqaBaLA6MF1uNaVcZgpZF/rXGle6PrYRoEI6AGlUyrq2vLPxetHg9KsoBL2uUf1X0A55t2npdSVVIQTW5JCXCzXBmgpI5kTLY0pe7kCrixs0tkBEbm5vESYTRGU5nWOO5TuII4lhy8/oNnn7yGT73qcf54uefZGd7i6WlISsry8QqoZP20TpCSUUaS3rdPmnapSw1xlriRBElgAhz1qMoSoJUosUg6qWEUoIk9kVIRUsBDIpELZGdrF/GyUpK1JErrXlLiy8poF/1//x3L6Pg95esoEynUx577DF+53d+59Dtv/mbv8lv//Zv86EPfYhPfepT9Pt93vGOd5BlWb3Pe9/7Xr7yla/wJ3/yJ/zRH/0RH//4x/nZn/3Zv/5dAAbP7WmD4iFoqru6Cgq3zV9slUIqhK8w60wbIuBwgVIRkd1FeB/W2pZG+7vwOw9bhgqWYbutBm7QlP0CuhBUh7+PkCodrvYwqP+u17YAQYe7rv6F5+T8nqJSZaxzIKP65YLWLTyXgcJDqoIq46el8AghkMgKcpR+ca7YNqXDKzYIwKAoie2MDjskcg7KMZvPSDspkYRepwPWMJvuML59javnL/LMl88z6qdI6cjnjhtX9/nsp86zu7VPoUtErHjg4aOsb3ZBWNKOZWU9RSURCMX+pODWzXmVgOOnthISJQTaSnJStEgQwhFV8KhF4KTFSYeuFIY6RkM1lPcuPMWgpGERaMBUlpEPkpUVrbVE4IzFF1GsUpqtxpgSa0oQ2mcIYLHOv4QQ1eH8tRkcuipEhrVgjQ82dt6q9MBMUFLuThLWVlja+3xrFsn/M9qi4RPQgkUj47DWnsuBp+Jgv3xjyOjdFSW/9fD+D9+KoABXbvA6q6saf95ab8/3iiBAiDo+5a5u8WAu3e0ShY+/cMKfQyKInERZibSVm0dYDJ6HxBfq9VT2QhYINYeoAGVAOs87Uo3/Y8dPcXTzBNpZcj3DuQxdjCmm28wn2xidE0URx44f576z93PvmVNobbly5SalLlCRwlTVgS0d5rllb2+PojAIJPm8oKzI2AJ7rI95rPokrBHOAgZrNdYZhqMO/UGMsSVSSiKlKqQ1jCfRYpAVWCEbpUMEyR0EUHBzURtMoZ8WuuRlZHi8ZBfPu971Lt71rncdus05x7/7d/+OX/mVX+Hv/t2/C8B/+k//iaNHj/KHf/iHvOc97+GrX/0qH/nIR/jMZz7DG97wBgD+/b//9/zoj/4ov/Vbv/XSCn+9GMpRrQo1tNi6xoPvvxVi9m7xLYftV+8joAmO9e8DVHw3d1MosCWqH30952zanfu0/bxB4ARVJjTrmkEuqufsrbxK4blLn9TXJJwvwuVipJNINEiLESVOCA81MkfIPUSUIzBgNFHcYf3oCZzN0HpMMdumnO/S6aYMOkO25nt8+fKzPPboWcqsJEmHIG6Q55qhjcnzEodFm7KJMxIWhE+ZTVJFmioEzte7qcw6i0A7gamAaUXDrxOUMOdcjQSFfgqU9CBqBkjf575fBUGwN6m7BouSsgrebSsCQdkDZ41HeqRXOqQUHsJ1LdegczhjfMC1bAKavcLjBVIQkE1aeEPUdlgMVhvSfwU9efHWDuAM/VJ9OmRvEf6rlYFGIfhmPmfxIp+qq1tAYakNFHfH/gHd9TvV1+xCtoysDfPg+hT17w5eVlgx21/dgRn5Y1drrTeGGq6geh/hkEoiK8TQZ+dk4CZINQfhs15sUSCdRUoFSpKkCVoXXLt6hTSVrC8PKfN9ymwfW8yxZYHTlghFksSsry2TphFGlwjlKG2JE4aoI3jw4aNsHusRRZCmSRUbI3wRU2OwpjJKnbkjVd9SKS0iYj6fUZaW0WiAr8fjjVaUqp9p5cTxskmqqibZ4rMN6mXAuIRogmJreVH3+WEq6revfVOdTc8//zzXr1/nbW97W/3d0tISb3zjG/nkJz8JwCc/+UmWl5dr5QTgbW97G1JKPvWpTx163DzPGY/HC6/QaghQLGrnrpoo9eB9kYnuAzmDRhomqD1EIXhpXfd1oxmiugj8QhJiTQLbaBM3sIjwHFRaXrowqxbP+h0tpc+yAOtUAslbQWFRrq5XhCj8AwpSZW0tPrZWOLBwRKJ6/sJnr0RCEIkcwTZS7eFchi0ynLUknQSBZmfnNjofk+3fxGT7ZJMx/W7CvWeP8epHT1PaHCMKjt8z4k3ffz+j5S7WOExRks9KrBFobTCmUiAq6PP27T2E9HUwbL1oS7STGBHjKpjV31dI87WHGnzhWdQqcNtyDi6hgHpUP/bw+GH1b8LvqKsmNxT39o4xWysUNCnMh7kd28pGu2bMQQXkjkDHu7iBXmmHt7ar9g4lIYin1r7f7qdaz/8KDT3IOBpixfy4amSAqJC88PsQoBoqB4e5wsKxxIt+bm2olB2PvPqFNbiHnEdVZOX2qILJpdVEMiOJJyg5QbiZdxljUNKn5dtQDsJmCJdx9Mgqy4MBpszRxYwyn+J0hjAF2f6Y2XgXXcyAkl5XIZWlKDOMKzEYotSxvB6xcazH0mqKdaV375QWU5SUhabMLaZ06NKitaEsS089ICr6ACRaO+YzR5ZVVdL9Q6geRXCJA1KircQ6hSPCuZY7DDx6WvWgrAwqW/mivcvuINrHHbxh3872TQ2SvX79OgBHjx5d+P7o0aP1tuvXr7OxsbF4EVHE6upqvc/B9sEPfpBf/dVfPXRbe5FeiJ9oCd5mEXqxrJvD1A9XC+3qoIf+9htuzi/O0EBtQiymsi6kGbcgV9ydadHfaCBdYx0t3nHtrqpKfktRpRCLsCBCI4jDfTQKi1/cm4Xb1+qyFceJRDmLcDMitcV49xzLSx2iJELrjOlsSnfUJXaatUGX2d4tzGwKWU6xM+XSxdv0Byn7swlJmtDppBiREXfh1o09Vpf75LOCvfGcorDEscAYjTaSooRs7ohVz2fKRJ6dUQiftVMYgZEJznlsxzmBFYpYNPwuwfptUnjvHGuy1X9UCp1t9VutCoqKXNCGtG5Rj23PkVJZiIQ4Egs1mN70VbsQoHOLxf28pd5S6LmzPk/Y72D/v9K+djvoBgtGRltJaRTJ1u/C6y4I1re2uUP/Nqdtz2WxsM3VVAO1LkHISDxMeh52K4v3d+B5hXS1+seh8pet3zknUFLinEa4EkmBZB+jt7HFHp2OIkoijyRYw3y876kH0hiFQVpDR4E2lmw2oZxPcUWBKzVCW1xuGO/O2b29Q7efMhj2uHr1GkmasHFkDQfoCkkRkWW6n4GFXjfFaEuRlWSFJpv7cgBKLZa10NZRaIfWgqKAOOoQxxXK6SxSRhUy1WBR1oF2oFF44oEgBwS4EBRbudqElxKuer84Ru8eKP/tbN8RWTy/9Eu/VJdnBxiPx5w6dQporDmoHnhVyVeKinuiUk6CO+IwwXEYZH03l8o30g6LRXHOp5YFSLUds7IIqePvLZjwVWtXSL1jAfpagy0spiF7Bg8DOlFBus7WokoptWCJSxnq4sAB0UObI6Xt1gmLsncHCUrhIVvl/LmUzXD6KiU3mexdZdg5AqLLuS98lv1szNqJTc4eO0Ux3cLOxohZgd03nP/yBb7ypQu87g1nUR2IoxFF4aPTdem4dWPOtUv7HhGRmttb+5w8NawMC4UUEfuTgukMVje6SCVQUuGMxcqYwiqMjKFSWjyCUj/E2gqp8RLXEqb1W0elRxDg6lD92HOTUEttay3IJs+hHhdB2IdxgwBXFSWUwc5tFgRbIWDS5y62FJAKfpdUCrwv2GYPUSzD/RyMpXrFzfPi7WDMCK2+EwQ04IAFUO172FP95iksjQJ9eDsE8VwAoYPi0CgrYYGNoqi+fiXkgdF4t3bndfg55hauxS+oodaUn2mmiqcIDNXgV+sI5wNi3R6wz/XLT3PxhWd44P57OXHqNBhDMdnnM3/xMZaOrHDygbP0Ol06MkGXGWW2TzmbIHWJKC0ud5TTgu2ruzzzlQsIBPfef4w8yllZWkJGMWXprzPLC2xpmE5Kzj27TRonHFmzVXadYDYruXptjBCwtt4lSVS4ucro81K1KDQ7O3PSbsRwqYtQlaIREhNsZcggMFZiRYQV3sUj20hvpeDVdpNo1gU/pxfXwfYIeTm0b6qCsrm5CcCNGzc4duxY/f2NGzd43eteV+9z8+bNhd9prdne3q5/f7ClaUqapnd83zzQECvRfF8LVNOQrx2EtWFR+LaP+c1oBwX6YULeX4NtTf5FqzXsXy9ININJsjiwXqoGLFyjo9RfEHSJ5jm1CeyccygpUSxmGwQhvNAq9iVBqLbriZycNsRKYZVFOEvkLMruosQNks4EJwSje89i5xNMPmF3e4cjJ05wZGmF5778WZaO9EBrbl2+yfknLjHodHn4weP0Ox1c5LBGe0QGR5SUnDkz4NILWxhTkKY9No+t4MWbo9SG8b7j1u05aRoDEiV9Qa7tvRm91T5WpVgR+QDfYBsKgVQHGIpds7g0MSeNQG/16mI/VZpIeNbIO60ZVynZQXxY6wslKhUjAGuMJ8hrK7nWIZW4I2YonEdWULkTxl9TlaHkCJH8lQV8V9Tx5QMFv9xae57XJQMETXX1uy0DHrL91jzbg4cUh28QtU3nFtDa9v0cdB2G7+7IOHpR1LolO2r0xQ/UBlNsXNDeLeHPY0STgSIqhl7ljI85sXOU2Gd/cpU4KThxfJ2jGwPSOEI6z3uyde0K1y9coDtIuX7lEivDJTbXjviYk3KGMBmiLCmmGWZeUE4Kbl6+xa3r2wgEy8sdookj6XYYLPVwTqJ1SRwnoAxWS06eXGY+LblyeZdLl/Y4dnzIkY0ewsVoXfoU5+o52wqZRSislezvz7FWkaZdhIiQ0mdAiVAGQ0ickJRWopFVcKwilNxY7IUWGhUM+srtiGvi1mpl82U0r7+pMShnz55lc3OTP/uzP6u/G4/HfOpTn+LNb34zAG9+85vZ3d3lc5/7XL3PRz/6Uay1vPGNb3xJ5wt573X8A4dYfsIvFvVglqIOtLKHTp7gf235UGnHYnz97cX8/vV37X+HDQwXlo5Gu237hBddKHe+f7EmZGOVB7vaWyOuESzhmqq/SinUXZh2Q2unH7djJKT0yIlSitIZkBrFnETeRImr2OIW1y88gyynbF+8yCf++GOYWcGp+1/FyfvOcPPqRS4+8xROlxRlwc7ONufPvcCVy9sc3VglijyqY4uc2f4ee1t72MKRzWcMl2IGowQnNVEUMpK8NWaRCOlYWukRxVWGkpDEnR6FVWgX+Wp/1VOXNYkaC4J1EaF2recRlMxFWN9V6EttKLZcP21hYd1i+rCDVgCtrZ1yoU8W5oANYM2iZVz3T5XRJqq/QRGq05tZXGzbf19RUF68hXlQz30bApQXjSOgWYSr9mJxQH9d9EpAlWVz2NaA5lXXzp1ypn0/7fsTws9pL4srC567yYf2aF28OCcrZKltrNlKWXZgtecgUdb5AFes/+ssylmkK8DuIsUtlNpleUnR7cWknZThYEAswJYZ1uSYUpOkXbrdIWdO38cgTdm9eZnp3k3KfB9sgSkLprsTLj93jSsv3GLUW+K+M8c5c2aD0ajPsD8kTVKcKXFWE0mBFA5rNY6cQR+WhjG9nmB52ZIkFmsdKyt9jhwZoZSqFVfrLNpYisIym5fs7RXsT4om08cJhFQgJFleMssKrPPxcU7GWBnVET4ePQljjAp5EfXTX0DhXYs75m/Mlfj1t5eMoEwmE86dO1d/fv755/niF7/I6uoqp0+f5ud//uf5jd/4DR544AHOnj3Lv/gX/4Ljx4/zEz/xEwA8/PDDvPOd7+RnfuZn+NCHPkRZlnzgAx/gPe95z0vL4IFKzb+7kAxavmgVPbPcOUEP7ZCDCug32O6O0LhaOvmBeOcgaQsvj9hVQu+Q472UwXXQB+4DtfzYttbVgaKqhh9FbVnXdk170Wt98Nfh4yOkUrVwlkLgTEkcWYzeIRW7CL1FFJe4yHDzymVsvs/ayiqPfffrSDpdNk6kzOc7LPVTXv/672ZS5uTTkmF3ie9/8+vZHe9SmpzrV/cQUtHvR+ztjkmjLiU5SgqiSGCsQEjt+UqQWOsJE6SKKY1hsBwjI98nzgnSXo+JS3EqRSCJVCiA6IUiQjUKCq3+cz6rV0gq1IjKlVe5bYJLp3pP3e2VcmFd432rOqR291D1fQsdwTVcB3cw1QaLnAoad9Cu1bMIwrsaRg/nPmyR+Vagjf+nt4MoxGFP7hAMstn2zXrWdzlOGwGtxyIcKJbZGFlBQQ8KSsimES2X59e+lGYcBcSk/utc5e5ojqOURNpg9FiE9CnzEk0kNM7uocSYSE3RxYRIGJJuAlaT7Y7JJmOcMCRpypVr1zh13/2cPnMvkYw498wzvPDUE5y+7wQn7jmOc44sm3P54mWe/uLz7N423HfvcU6dWkLGoGKFwfjLMxaE87xLZYHWOQJIEoUpNUtLHeJ4FZ/tr4niCjGq4mpsZbxYB7vjjNnMGyCdXkzaSZBKoaKKq8lZZjONFRFxP8LZCCcUCIVQUfXMfJNS4qrUbiklzcLXMmZZNJbu5mL8drWXrKB89rOf5Yd/+IfrzyE25H3vex+///u/zy/+4i8ynU752Z/9WXZ3d/mBH/gBPvKRj9DpdOrf/MEf/AEf+MAHeOtb34qUkne/+9389m//9jfhdg60AxMpoCguwJZBiQyw67dQ4B5079TXFKC2MGjuMrEd3OHSudvfl3BV9bkPNlkpJOG4wcJXYQIEYyto6uGeWscNAs4LMelrYmCJpCF1Y8ryOl/8zB/z2Hc9jJUp+Wyfo6srJEnCfj5leW2FgjnzyYT9rZt0hOb2zi4iUpT7GS88fYn9rRmnzqx5EqQoQpeC2Z5hfEuj9Zi8mLO02sWKGCsFxjiyTFdMkR4SvXljTLfbI4pVhZSAEoq5Bi0ijBNE9TORFRFduPeQQtlYxfIOojr/ZJwLyEeFlLD47Ah93BonjWswaDRUyIp3jyEU1llfANMFnX0xfin0sVdWQto6B7Y3bbGIofNI211QlFfa4a1GR+puq/patHiL2rIg/P0aBsc3JKMElSJ754xvx6AGGXSHe681JsPcl0FBoZrxL2FI3HEvrQur54+UNborhMBKh3XGp85Lg7AFijlKzsDtId2cfDrm9vUrDDoxq0dWQDguPfMszz31LPe+6iz3PHA/r37NY8gkQcWQzXfJpnssDfosD0fgBKbKromTiMEgZrxdkmclQkiS2NMARCrCGI0pSxC+2N98lqFEhBSKIi/Y3d3DaEen1yEvSrTWlUz0c9BYixVUhoFgOOwBhvF+TrebkHZjolj533h3AEtLfbSIKQ0UFowKtLAOSxMKUPfVIcZuLbtrRaUxNl9O0/olKyhvectbXlQwCSH4tV/7NX7t137trvusrq7y4Q9/+KWe+tBzQTUnDkEewmVa5yPMXVgbZDWR7oJC1Ae94+vFZfjwbQtX2LqWxvKoYd9KADhsrb3aQLzW0nCBA/n+d7/YxkITL3L91dWJZkFrrtPWAsgjKAohZFVm5oBkWzj+AWEr/ELbCF7w2foGXW7R6e6Rj6/y2GOPYHRBqjooK7j67HlGawOS9SFLa33ms33K6Ywr519gc31ENi3oyASZOzaOLJPtzXjyS9d46NENBoMeu1szrl7eZWc758hqSq8Ts7eTo1JJ1LU4qzAaotjXsigKx61bOWsbK+gS4sihIkFpDaVLfE0LJSuqelEpGNYLi4VnWSkqsiUQnLdcAop38MF5hcE1CjOLAPjiuBQ1a62s2CSt9dcaWuBJOIiuWWd9gcJ2b7n2OKuuQXqB2R6jNQopGrdT+xivtBdpjU5Zt+D+WFDug8b4Iu2bYzwFGXmXba3ubKOoQK2ILCAm4ZfWEhh/wt0uKsgH7qX9XlScQgRaCBbGmqjcRgJw1gAOJR2gsWZKLDISMUW4Kcg5wpakacRo0Gf75jUkJaPRkM2NdToqYbS2TJymRF1PrFYUE4p8ysmTx1Aba8hU+lTgssQaWBou88B9D7C5Pq8u2KcGz7ICrS1JGiMVZHmG0QZpfTFSKww4QbfTQRvTENsph7GG2rkuvOJhACEVMoqZzjKsswyXU+JUeBlRP2yBij2dvXERRCkIH8AvpXe/hzggUSNaFWIb+CDCUDhkiQjr0sulfUdk8dytGefqzAMhRF1/RLhmoIfKxdBCuJyr0kXbE6Td7rQqX1w5ObjPwf3uLCUuWoOuKfjGgvRY0Hadw1edDPEwbUg/CLqw991DixrLvFkgF54RwZ0gUDJCoSp29WoxbVcxrRQ9v7i5Kj22GlTWgPLMhhKHdDnK7hCJMcbeotjfZ2/rMsPjx+hGXS589SnmO2NWj23gUtg4skI23qKYzphe20PfnnL51ozRasrETbn83GXWR8sYK9nd8/5YZy274xm3xo7Pf2XCD72+x3DoiFOJSgQOSaQE3b7EIADF3o4hSR2bx/ukHYlSEgNkLkHLnlfOEN5NJapnKxRCVnCqEIhq8ReiUR5EjWh4NlqEQKhWEKzvVO9HF606GVQB35VV2viCWHBNCod3vblm8WrH/rStKFkF7zqa+SJdyBqzNXLnrEFUkLNwElrK1qELzSsunpfeGt9e9XERjfpWP+f2/D9smzeq/T5tJeSwuJdqCDeqiVhEUMSB34NrFHtxp7SsjbGKfNKLp0plr2IBldPEwuLslLLYpshvYcUcFTvSbozAosuMC88/x7mnnvRu4m4X2Y3ZvP8EKo5xOLTJKYo5ZT5BlCXdNAElyK1ne7WFJd/P2Ls9gblj0O+xvXeT/ZlHOa5e3ebmjQnHjq2wtNxhd2eP2XROr9vHWYGUjqTjjRNrwKf5g3UGY3xQunUCKaLKS+TXA11Y5nODUBFpN0Ioh4wqg8FUBUOJQUQYpzwyLBSuqsuFkHU2UCii6DN3QgWkJhWcet1xtWX0141v+la1l09VoL9mC8jEQuTxAix5wNKrxvrdg86qqXIQKWjPoBdr7VO7II/cwnZHYA+8E+IN13MQHpb1CiUWBIkQi8c5eNzmc6PYBOUG4Rr41ImQ8YqCiuPE/87XxfHhpCIEVFaLL8Jr5QvhtsIhpCRyCmVBuozYbZOIm0RcQ5kbqGybVUpmN66Qz/boL/U4dvY4Zx4+y9HNFSZ7W+T7+1x6+hzbl67x7Jee5SP/709z89oWCMOJ00cpreb23pxxpii1YDovmGdzhgM4fbJLYTWz3FCUhtls5gtq4Wv4IAWFU1y9NebY8TUGfUkcUZU9iNAuxRKDEChRWb715FcVsuT7pvHxLj7xEEzrnI97chWvCa5l3RzaX1QCurJ83F0G3oGxVQdhOwfuQD2Nqs+CRdwOyg7zJyA5NbdNK+agztg4OJ++zvbBD36Q7/me72E4HLKxscFP/MRP8PTTTy/sk2UZ73//+1lbW2MwGPDud7+bGzduLOxz8eJFfuzHfoxer8fGxgb/7J/9M1/U8TustRWSw16hfbMXixaqf+i2MJ4C+iGlRCm1gIgcvL6FoPFGzW72FWGki0p5r/do7b+InECzXxh7SkIkNcpOidw+lNt88dN/ztULTxFJXzJins3QZc7ZUyf5gTe+mSMrq5iyYJLPKF0BkaU0GXk+ocz2ycZ76GyO0ZrtnTHj3QnlrETPfQbP9cs3+fIT57h+fZt+f0in08Vax+rqkNOn1un3uthSIkyCNF3yqeXqpQnXruwx2ZuQzw1lKdHWS2AhJFlWkmUaITyxmhMKpWIQit3dKdPJnG6aEsexN3Sq2BOpBHHiFZrSOAwS60Rd+8j31WJsUCWeK4P44Jiru7uWB2139cuhfUcjKKG10ypd25laP/DQRK17HEZKVf2o9fO7Zfm82MUsfhStY7V0jOo6msl4EOVVnhyl0nACT4Y7cOzK8yuoDxqO19z0i1xv8Pk66hTakBElK+vaYbHtwEnnlRdr8TVffGW/CpKxKCASCmsLpJiRyhnS7mH3L3HzxjlOnFihGG/zwtPPcv38BR57wxuYSBhtHsFazXh3m4vnzjHsxuAcERKimIcfvpdHXgMuFeR5gdACJyNKoym0YTbLq3obljSBkxsdrtyaMugnnDjaQcQGfzceIs2d5NpWxswIVtcGJNIHnmohKUyCcRVzrIwQyhMkheKBbWFdI2OiWUxq1+PCIlQbLM2zbA0ad7hPsaphoirh1hy3US6ox0kzftpjoT1eRK3Ih7Pd3XJ3BJ9o+7xhDXOt33497S/+4i94//vfz/d8z/egteaXf/mXefvb386TTz5Jv98H4J/+03/Kf//v/53//J//M0tLS3zgAx/gJ3/yJ/nf//t/A2CM4cd+7MfY3NzkE5/4BNeuXeMf/IN/QBzH/Ot//a+/7mv5m2h+YeagbfJ1iP6DSO3h4+Klt/Zx78zA8mPa77foJm/FMwWlA1ErwAtiJhhVh6EzrbMvnLf6X9hexwzWyGCVUekcxmTESY6SU4p8h8n+dV71wBmUMJRlTtSNiZOI2f4EPZ2ze/0Gy0eW2Znv019dYmVtRKkz8mKGznLK+YynvvwU/U7Eic0jUNX1ETnIAmKhWFsbIY1AFwXjLcFglCB7gm4nRYmYPNPs7UzY3Z7hjCBJFP2OJ3iczzTjSUmcdhisJDh8Xawi80pFkoYSF+CEoCwt21s5WsekaQejwSXCFy6NfJCrcQZtZeU9kNhKARQt105lOXkDyNrK4vAxLg2RZKUk1krk4f327W7f0QpKiJ8I2reUojWtXUvXaAejcocJcaci8iIplDWp2YHedNDuZR9f4lqffb7nYixC67AtF4sXAHeefxEtaQaaO/S23F3et45HcOiEtMLq7I3egpAN9hKs6ypWq4JrRWUaeERACoMwlkTOINomn1wgzXfItm5ht2/x9IVnPSNsr8ep+x+kv3aUqS3QRcFsuo+ZTDCzHCckSjriSKJlgVMlnW6KlhZtLboUOCPYPLbC8rKiyEskmiRK2ZvkZDO4saUxVrG5IYhFhMThkGin2B47Llza4fTpo8SJ9enJwlskuVE4lXpiNhk3DI7VyxO+ydpyFEFBqwRFCLpWkU8jlKGA14Fh0ygJoe+qvlxA4doKxKKF7dooTFt5EQHIPdhcrZSEuJh2IHST1SOaY7amTdjXLihDX1/7yEc+svD593//99nY2OBzn/scP/RDP8Te3h7/4T/8Bz784Q/zIz/yIwD83u/9Hg8//DB/9Vd/xZve9Cb+5//8nzz55JP86Z/+KUePHuV1r3sdv/7rv84//+f/nH/1r/4VSZK8tIv6FreDymjtAnHuLn3sUckmEyswAB9AfOv+uduZ76Y4LiJ29TFrUeIWfyoE1gSKeq+gO1ONkcr8bpC4FrLSWuzcgbGycBcVAhzIxML2WnEWBoFBSQOuIM93Kd0cFc/J5rcYjlL66QCdz1FphC1LbF7SjROubO/whc99nkdf/yj3vvp+om4KriTP5ug8w+YFIi85tbGOcCUmK9nfHSMRpDLCFAXOOtI0AWG4fm2HrdsF99y7zr0PrCAjhXOa6WTOeL/g5nZBkVnWV7osDZMqTsQwHEiIIow2oEAg6fU7HjlxtBAlRTYvmGc5STpgMi2RMQwGQ6jq8xgcxkoM3rUTItekFLVrOcigRkY0crpBqKj6sKmMLITw3uugrLxM2ne2i0e0cvHtIiQN1IRXB1/QhrkWrd1vXnOVKye82otAoCd39bbFn1aBicFirQbPQTfNHT+r7+HF91tsIRI/XEvD+SKEp072e1VHFqBxGAJVvUMIn+onyYnEjEjdIBWX6HILaSeApdNJmW7v8MQnP0c36nPszBnWHzhLtNTDSkO2v4WdbePKGeurQ2IsF559DlfMkaKk1/O6tDUwz6Zol1GimeWOz33xEo8/dZudvYLZOMOYnMGy5pGH+xzbFCAdRsQYI7FSoeWQc+dvszwasbmWEkUGjUVbQWEUWiZooUBESBlRDbRWRlJrBgfrpWJ+Bc8V0+aIsDW4Gn7SGnOOpmr0YWOw2le62uZp1pMDEHqddSEW46qaoN3Qj5ZQT6Xt5qlhXyqXFGYBGTqYWfSNzJm9vT3AB8wDfO5zn6Msy4U6Xg899BCnT59eqOP1mte8ZqGUxjve8Q7G4zFf+cpXDj3Pi9Xx+la24C4Na7V/rEEBCJBBmHPtvjg4d9uygvbRvkZrH7ORA7UcDPFkPnu1+kzlrnU1z06kIqSIUCKiroPjf0C1ohHoXANXjzvEjyQECOmwEnStlOBpC4zx6EKtDzsQ1tPV2wkxeyh7k0TeQtnb6HyL65fPM5/sYsoCpRQRksntLb70qU9x7YUXWDuyzuqxo8TDPmm/D06Tz/bR8ylmOqMcz9i9eov9G7vsXhmzd3MP5XwA7mS6x/nz57l98zYSVwW6ei6ktBMhpK8onOeavLTMC7i2ZXjmYsaNbU2pFdqAQSBjgVLVOlXdYBIroli2ylVLrI3YH3vG2dGy4tjJIavrXaT08sRzeUlKF1G4FCtTj+6Gf/4B42qURFYIsPLBt0HOQ2VohaB5/6yrDc3rZdK+oxEUCBO/en9AkLazIw7bfvB982XY96AC0eAzhwuMg+hKyNSpFpaWVRH+1iyTLWNGCNeCOJtrOKhc3fEsDoFmm9+5Wpb481aSiSq2RPhMIh9ZXpGSVZq3dJZAgW/xwgxhkcLX0YzQ4HKk3Eeyi7Q5UhVQ0UZbHJEUbN5/hqnN2Z2Nuf30Pvc/9jB7+R6ZnhGXxguPLOO5p85zcvUo+X5J3oXnnr3OvWfW0aYkLx2OiHlWsHVzhsRf67WbOetLMWksidOYOI0RhSWSHZASg0UKyF3M+Yt7CGLuObFEJ/JZKwZBYSSF7WCiCKRAqcgrJVV0fPC3+2h8P/GDFXJQzXyx4NI61qN2PzaIRXD11OcJBHEVSuMOoHCNR6+GYVqQ/OJ4C+5OR3tsBfdiYFquKi03g7Xev1ZKDozjl9qstfz8z/883//938+jjz4K+BpdSZKwvLy8sO/BOl6H1fkK2w5rL1bH61vZ6kwqAvJYKZF3zNH2enDweTbyZCFG7q6PfXHDghuwtU/tbqwBD9H0q2tfDzVSGnKPFkezrccHAcuTLUu9PmNlPOI82ZhzOGfqaxDCM1N7G9NXF49EiWKGMTsYOyFSGUknY7Jzi0TBmWNHfEVjWyCkxJaabDYliRTdfspwdcj3v/UHUR1Jlk3IpmMEBmcM+f4Ms1/w7OPPcu6pK+zsGE6cHvLIYydZWhugYsHG0TVsYSlzTWksaa/Lke4K/eEAY6AoCra3x4zHGciUpKO88eYkpXWYwlDYEqEEaZp4ORHC1ERz38aCdYJSS2ZzR6/fY3W9x6CvUMobjD59W+KEwhCjiau6Ox4Blxy2zvkA3Do+SB6c+4toyQLK9c221b+B9h2toAjwlSvxD3shrqQaCa6O46i+DsL769ISDxMYL3Ix9W4V9L5wijY51wEhFe4lCLVqEXJ1oOOB1OMXvfawGB1U0tqKE9VCFNXX7kSo2xKF+EgEorLcJcaWVXErixIWbEGscqQZk8gZEXNKs4+KNLE15PtznC6Q2tDr9vncZz/D6bMneN1bvo/p7S26RpGPtylchnIl5SyjnMwpp3OODFYoJgWD3ojSOu657xjGGnb2xmjt/byzccn5Z26ztrrEI69a4fbeHIuPho+SFKMkMi58dhEaEGS5YCYjbu9c5+zJTQZdhaLAGomJYjIUpUyxSCIVIZTnH5BKeYWE1gRfGGcsKC/h82HjrHaqVZ2+4NKpfD0eVKlcLa7KDKzQDR8f1KAmhw2Fu43vRqEIOErl2jtAzgaiTtw6XAmp3Kl/TUvr/e9/P1/+8pf5y7/8y7/W719Ke7E6Xn+T7c5MwUZ5OOwxBpdf6KumG76We+3FVpdGZfCGXcDjGkSnLjkpQvC8N2DC9TeZPa2gSxeO2aJur1hhFy9W1MafZ5z1WT3O+fNGCAwlUKDsBGX36cQzBDOsm2LLGZGdE1kgL7h2+RK94ZDVY5vkOHpLPe5ffhDpHC6BfpoyGe+Q5zOwBmsMs/0JLzz9HIlRrC0NyI4tUcy22N4as7M9oT/q4LCk3ZhSGIqiZGcy5dwLu8xmEHeO0ekNsM6RdGI6ukSXhuMbEYNun0Q5ZnlOkkAUxyglKIoCkERpXD1PgS41TjmIUoyJuHprzNZ4zNGNZQbdDp6SyZfTsEjPGqsF1npkl4CctFzNXkY0yG3bdK7hU9fIp8MN2lcQlG9aW8AuXLOIB6FqcS0a/Oahf7Mj4+8QCuKQ79p7txaQetfWetdYt+1jNFbwAc3nkOsITIxUqcDNCaTwAVw+TiLUALKVuPEZIJ711btugoWkpACXE4sc4WYkYk4xvoFwE4p8i4uXz2MieODVj2JnOZOrN9jfn9MfdiGd8+ir78c6ze6tm4xv3uTLn/483/e2H/RESdMpF59+gXyvYLKl+fxnzvPmN50l6ioGcdcv2MagZEJhDLPJDCkEp0+vUBb+3pZHEUVh+erTY87eu0JvJUZFCQIotUaoGBON+PwXrrF5tM/aakIkfCVQJyNyHZO7FBslPktHqHo81XEaQRgo5YvzVegKLXfhQdfh4rg40OcHey70TfVdcBs5EXgoGkFUK0MHhEwb3WhfQ1txav+ucdUcEFg4BD5TqeFG+Mbj+z/wgQ/wR3/0R3z84x/n5MmT9febm5sURcHu7u4CinLjxo26Rtfm5iaf/vSnF44Xsnxeah2vb0fzj/nFFIgG1Tr8+8O21Uf/eq+i9cczJgeERzjhEZPW4uYRjWDQCB+U2TpVg+v4MeVjVgA891Qd11Cp5kEuSeFry1hnca5EArGyKJchmCH1LqLcYza7TZJoosRh8hl6Oma8vcuty1co5nPOvupVlHmOSyLSXg+ZxFitKfM5xWSfvZ0tnC5JkxhTavZ39hj2+iTEGFlyzz3HOXr0CJkp6QxTtC6xTiOdwBiLUBEOgbGGUlvmWU5ZdDBOk+UZQjiiSDDoSIQVTKYlt/csg17E8igmjhWJEhgZ4nW80RfFERqJtpLJ3HB7Z4ZIUpZXh0SKCh/xsWJWSoyTGBthnS8IaCuXjqhYZKFRTNqGEgQjdVE21fJBLsoDIRYpCr7d7Ts6BsXZJsJ84UXjmAmfnfDLsHWNu+QOP7qA2nl81wnvp3Pzcnd5fZ33cODItfphm7iVRmFp9lzQlEUTO9AIILewuDZX7ieI54ux1at99sAUq8FmKKYkYkYsxqRskXCZuDwH06/w1c/+IXrvPPvXLzC9dZOH7jlDdusW5x7/Cp/58//F5WefIxaaXh92dy9y7fknEdMJvSjmkVc/5K2ImWZ2bcyTn3yW2c2SWxd2WB+kXLu6zWxWcPHZLa69cIPZ/pQrl2/y5ccvMJ/naFsQdQUiASMNMioRwrG0NEKSIK1AOIWzCYI+Vi5x6VaBigRHjwyIY4N2uopJSclMghN9nFNEUYQKtPayJbTD5K9Rlcj/DcGy1bO21tbpvHf0twi91NjUh2VUyAMupdpd194vwOntcVIp5EHhaY+heq4Yi9GmSTleQFa8m8lVJF1NHaBFFOClxqA45/jABz7Af/2v/5WPfvSjnD17dmH761//euI4Xqjj9fTTT3Px4sWFOl5PPPHEQrHRP/mTP2E0GvHII4983dfyN9HaBkiziN8pJ2ogbkGxFQd+6dvdH/fXL3cOHrWRZp6vp003UF+3ACEdyEq2imocV69gdAfARAjX1PKx+HpQVWE8QSVzjEOYiqpeFCD3cFxHmAvE5hJ2/3l2rzzJE3/1MbYuPo8bj7H7E4rZlKeffZqnnnmGvDAkcY+rF64w3tnHOYEuS2bzKdPJlCLLeeqJp/nq408x3dlHzwu6ccpgMEBFinPPX2N7b8Lqep+19T6dbqAOkDirsFahC0sSS86eXeK1rz3O2koPU2pcaaqKzZKyMJgSbCnZGxvOX8y4dktTFD4eJBCoKamI4wilIhAKJyJyLbm5PWN/ltPrp3S6EUo5qqQdnLUY4+PjtItxIgGhEISAfVXJqLAmVL0pGgOmHlsyIJ+V4VpnIDYyBMddZde3o31HIyi00JI2cnLY5yZiXRy6vdqpNXu/PY64WjSFgnxtKLXey90hrBpBV1kzSlVF6qoFrwUR+/0qZ0MtiYLV5IPTlNAIMrATpJgi7YRrV57HZLsIPWN92OO7Hrqfc089RWnh0de+lj/+v/8H64M1hssDvvcH30Rup6RD2N+9Trm7x87NLY6tb3Lt1g1WV/o4PWPr9g47l7Y5u7lJHPfZ6e2xfmyd0WoXKy2z2ZjtnYy016EoLJN9Qz4XWKN8iXMLuphBaVgZ9EiiApUYXFR4kjiZEMs+V2/PuHFjm4fuO8JSX6FNgdc8YmZa4qI+gpRIxAgMouJyUbJRQKT0rLLIBuXwKF2rnEIVVyDlotvEVRCroFKeg9Vi6x5t+le0WWOrCP0WwmGtRUV3mbquces1vAbVJmeRyivVSqpGQZIBYQwMPQdWnfbhRXusff2W1vvf/34+/OEP89/+239jOBzWMSNLS0t0u12Wlpb46Z/+aX7hF36B1dVVRqMR/+Sf/BPe/OY386Y3vQmAt7/97TzyyCP8/b//9/nN3/xNrl+/zq/8yq/w/ve//2WDkoR2ICyagH6Iuxg/YZ621Zm7Hfkba0Fxqlw2lWtGtrYI11Y4mrgoCAp2UxsqCCLrB1xrvAXUpLL36krpropdq4r9iQLHFKEm4MZMdi/SExpV5kR2ztljRxDznMf/96eJOwlHTmxy34MPcvL4aZaHywyObOCGfeJBF5yhyHJ0lmHzDIqCk5tHkdaRqgjnDBJLXmYI4NSpFYSzaFtUi7xDG42zDlMA1vMddXtdRssRpoww1jGfaaBEUtUnc47pLMdor3ho51mZKxW06Uvr5YUxYIWiMBFXru1z/fqY1dUBRzdHxJGPwbFVqqRXKBSmFGincNIjKEiJUJH/WyMo7fKOLKCsDYK6uF+9/UBhy5dL+45WUAQtPhMXpkMlDmzlNw3ogwuLsv98h0e4WlgaCVzZjK4RKM0CFKbnnQpQW/F5MQEeCvHVoqKCPiFE2DeCwNEU45LVDTprECF9FVEtTL6glvcZGwQROFkLDofPo5fCgREEdkaBQbg5ymmULNHTm2xdv0Cm9zl97wk6scOYGdJugcjpx4JYwPala9y+fJMf+jt/m9l0xukzJ3nmiad4cPUBVFyQGs0n/uyjbKxusLa0xMmNU+STjAvPPAunT9AbpGTjOefOX+ThVz1AWTruuX+jWkjBCstopUd/qYexFmMlRzaGOBR54TBGUJSO8+czIqW45yzIRFGUmtgJ4m4EccyFa3OeevY6D91/lJW+xJU52klU0mWuFSUJ1nkrMY4DtX1EFMUgJEp4wiSlYh85X5FXBSkua+3P0aQiq3rs+MDWxn4O4yzA4i6kcNL4+IOF5AWnrPeVkaqEivSvVlZFQN8Punesc03civVDQuKF1QJ4Ul2TbV1nSCl2jjqzA+sDaV/KWvm7v/u7ALzlLW9Z+P73fu/3+Kmf+ikA/u2//bd1ba48z3nHO97B//V//V/1vkop/uiP/oif+7mf481vfjP9fp/3ve99L1pW49vV2ghEUE6csC0UZWFvDoqKwxaJZp+/3gLi7S/XLFi1QuGFRwiWFqKRXX6MVBk2jVbSKL2ivjt/3BZTrFdw/LEr1RqcRUmPmkgxJ2KGYIoUOdbNGXQTIuNQIsYkMdrCC0+f44XzL3DfQ6+i2xmwsjpke3uXtDdEdhN6CVhpKfMpOp/jyhxpNaXOWRr2EcZgdMFkPMahEcLijKXXkzjtL9Q5V1X+tmT5DEFEJDs46dBOMp0brl3dJVawvtKh3/FyNstytLGkXYcpS9aTmLjfo5s4lNJYInzMiPVU/VLgVIS2CTe3J1y5MkaohI31EUt9hZSmKjnh3UEIVaEnCiN9YUDvllOVWimbfqmQkYPxikEmeObrZokLyklQSg4aQi+H9h2toHghGhKtmu/C0h44O+oiPNU268yCzQBtZcKFGXcXSLVRTv66muZiaietSPlqotAE+woCP0kA2UWVFebTxJx0VYlvUys4QoRYBttkLSoNMkO4ksgZYikpzRgoUa5ksn2Fve1b3HPPBkkxoTcoiJdGZLPLIAW7N27QR5AZw//680+wsbbCkY2jHD97mr3xlHPnnuOxR1/NyfuOMx9vsbdzjSRRPPTgq5A24vyTz/L4F87xt9/xgzz8wKv4/KcfZ+PoKqdOH+PhR+4jm2d84fNPc+bsMYajHrdu7bC8PCKKI2ypccYxGqbEkabQpaeMtg4hYpI0QcWO0hqsc9y6lbE8Shj1BtzeMzzxlWu86oGjrC4rinwfKSNUb0BmYrRIK9hUejIkCYgIKeIqS8dDtN6Voyrlpc0fIGvhHPzAYXzUiEfL9Vgr00GbEG0h0zpmlR0ETeaOUC0eFuHh43A+X6+kDaMdMrZb47qdseOv0aKEqge9lBXlPdUiFaqtVAtZiIF8qWP+xVqn0+F3fud3+J3f+Z277nPPPffwP/7H/3gJZ/72NHnAvQrUqJZvLSRThK13b210jtZxFheTg67C1tf1OUSzLUD7/oCVnWMrZbfGUyoB1RysXeTQtYYWuNpDLKrxIgJ1gbMINIICQYlgjmCOFHMkc4Q1lPmMGzeustzvsdTtYpxjOpuytbPN0soyx0+exBjLZH/KaGWFTr+HlXDtxg2Ugk6qsDrH6QKrNVYX5FlG5IDScPmFK6hYsL6+jCks6Kp6OxKsxDqHtl6Dd86R64w8d2jj2N2dc+nyPlo7JsdKTh3t0IkcRakptS8qmKQSqS1xJyJWgkjJKoOwvZgIjIjRLmUy2yeKBUePDFkapMTS+jpDQuCkn9/GCk/MhsJWacRtNzPSyw8pBVLJKvh40eXcjD9Ry5VahoR+rOe9RN2Fq+vb0b6jFZQAQQZY239ZQYuVALVtKAv8Ny2BLYQ4hFU20P66QwXBiwnbl6K0NNdhkUS1BevrBNkaJK2y2zGV0Gtq7gShZyqfpUUJh7IhI8dS6imRcjgKtJ5gsgnbO7usLA3Y375ML3HMZ1NsNqVrDVefvkQ+KXjyiWf4u+/+2zz9hS8Sx4Irl88RyYjX/8AP8dBDD7J69Agmjdnf3affH/Loo69mXk7Jsh0wc6aTfeTKKiQxtrT0hyknNleZjGcMh32G/RG3ru0TyYT+IKGUljP3nKLXTdBlidaO27dmDJdTSl1Slg6jLcZoX404DdYZnDg1QNvc8w24GOskUX/A1PZ48unrnDq2wpGhYnd7izTt0Bv0yY2kdAojFE5GqChGKq+UqMjHlgghKg6CIAxEEyS7MB4qkFwEl1qwRmkCV0VbSNXDr1I+/HapKsWHhggu0OsvxKF4yG3BWmpbTAfHV0BUDsvuaY9X64wPXpQCUykvIQuuVn/EN6ac//9faxCTNhq72L62ctL++7XP10gH12CwLcTWNmOTigNDts3wysp2jawJGIio5JLzH2rlx9bucc+x45c+g3AGJX0grBA5Ss3BTREuRziNkAYpDabMyGd7jEY9AKbZnLjbZe3kcV4z6HHp4guM9ZTZhW2iTsq9Dz1AqXNyUxB1FZgSrQ22KLBljtUluih44fzz9OIua8MlYhGjREQ+F1y8sE2/G3NkfQBYSm3RxqGd80Go2rG/OyXLLNbE9HsxvW7M1k5BlgsKDZEAKSOSVBAlEUIKYmWJUVXVd+EB7MA7JDxJZEnE5Wtjrl0bs7rcY22lTzcRRMpVSQwSDWigtBJNgpOJz4ySEOrtBOdcoEI4OI4Oxs2F/q1RlQP7fj3I/990+45WUODOB+ucHxDNd4HiNygwNUrZ+OjFYvaP/11z/G9WO2wACIEP5nQBXnM4WSElThEKBDoMvm4DHga0FYmWs8RSIKwmjeDWtcvcvPgca8tLxHGJ1jcZrSa4SBALSdcIhgPI9DbPff4TpLbkyPEj3HP2LF/84lfod1Pue+A0D9y3wfNf+AzPffEZfuTvvJXV48uMlleJuwMmz57nvuObRL2UI+sZ2XyX6WyfWBiELimNZGXtOFZJJtMJJs84duY4cdTnTz7ycb7/+15Pv5/w+Bee4erVa3zvG18DzjIcdMnLjFIbnj93C6MVj7z2OAZNnhUgYqRw5EVJt6e860J6KyaKvOWAE5y97whFPODLT99kfa3D5mqffLpPGnfoDJYpRErpFFrGoBKEjEHGSOVJmKSMGtQkilAHkJPQh4sR8fKOMdQMpEVq+sVASL+PD1pTtUISlJPF8zXBb+3I+ztO1xpvbeWlCbi9c1z6aschAiWwl3oGS1kRHobgOVEZAK8oKXdvrqWUtGWJa6G57b65W3ux7XegKQSMlXrcNWerDK6aZC24tP22OkZEuApdPqDqVCuaCLJUuNq4Q7iq5EOILdFIVyIoiKUhEgZnMspygoszlChQTntOJl2i8YXuYimJ0xSc48Kz5+nGCetrKxxZ6tNbH1LmGUtzQ7/TI8Exm03IXYFzBUo6XGE8m2xhMKVGzwtWl5aJXUQ516RxFycFiIijm2sIZzAOtNbcvLWLUgmDYQ9rHfk8Z+v2mGuXpywtLTHsptx7Zoml5RnWWrSxuFghhENGCpQAJVHCYrX2xoNSeHp6W1UUj0GmbO3O2NrbYzDocGRtmUEvBlsghC8d4sArKc5HumgRY1DUWTsyvBct1PUuY6mWLU0Q/cGxtfjbl9ec/o5XUHz7WrwmlRUhGpg1pF0tClm38Kot1ZYleii3xR3KzUsCv3HCeMESaK0xNfyKcChhPIW8iLFWEymDcPugx8RySrZ3i3Kyh40j2N0hMbdYWzpDqedEXUMsMhwR+zfHXPzy85i85IHvOsNDp9bRxrC0eYSt3S3uffAksS557omvcv36Fq9++Aw/+I7vZ/nYEQoFWVGQRorXvuExBAX7F67xqT/5GK/93kfprAzIJzn/n//XX/KGNz7EA4/ez9b+Nr1BF5vElKaku9zhh97+RnqdmGwMp+9dp9vro63Gas3TT11jMs3Y2FhldXUFh2Yy2SdJJEoIEBalHCvLMcaW3nIzpSczkxIlEiChFAlf+sp1hLCsriwz2dsmTiW93gpGdJgbgVAJSP9SceL5X6rYEo+SSI+kCK+cePeNjztxoh3JFAoCtnrUtYW35zJwQbjTiABvLVXHrAR/HPmYkoDABJRQKM994NOM275ir7hY66qibovBue3A2poUsPU7764JbMEeuTPGm8VSVfEIztboXjuV+eVkab38mnehBTkigsJQu1oOPr/aD/Oix2yUm/Z3zS/by0z9XT0GvJLSVOBwnv9IVFZ+rZi6CqYL9HLUHqJ63At/XCWFV1YwYEsEmkgUYKdIl6FEhhI5kgKdj31GS6xQGJRxGF1y4/p1Rv0e2Tyj1+uTxgnH1jf57Gc/z3h/wv0PnmG4ukI22ScvxpTzKcgSUuldRrb0dbRmGbO9KUJbnLaMtyforMQq6/kEkKAsVpQkXYlAYY1BW4jjDs5K8kzjrMaUjl7SJ1EFZVZAEjHsKaTskJeaOFIUxmBNSSJiojjCCYmTDhF5pMNSVrFbivms9O6eJGJvXGKtYX25z2iQECsfOygFGIcPH5YR2oEmwsgI6/wcDe6bgIqEGLXa+Ajsvi3lxS9jrl5TGmcTB1xBjcH0cmnf8QpK8O23vKALmqFzjaJBmG5B40RijGkUjDv6pQ3NUh/z67mmw/Y//Lfe5pDC8474V0BQfAVPQY5iTixy8nyPKNY4s0+Z7+HcjG7sWFqxKJsx2b7J7u4liNfRZk5qY577/DPc3t7m9KkznNxY5vaVm3z0//4z1ld6bN53lCLRGG04OjrOdHePJ7/wJYyIcN99BiJJKTybYoxlvrtFNp1y4/o1Vvp9No4tI5Ukn86QmaQvFP1oiSLXaF3S7aUYU5LPJuAcad9P5KibcO+DZ5nPcqwzzIs5ccfRIyKb5wyGaYVaeBeWEGCMrXpR1AtxoJCSUpFlJXFnma88c4PJfsl9p5eZ7W/T68V0Bz1IOmSlQEQdnIg8aiI9nb1SVSqgUkSRQsiQDuhZYxHK+3il8t51IXzNm5qB1S1WLw6CofbsiEqxCEqH9IqOCIRrTXR9u5YGornXOoUQUbmY2sRwzXg/zB3ZPt4dLp9g1YsQzdUoPQhR0Q+3R+wr6MnX11qxGi0kBdqy4ODfux9j4dtWPy8axovyxvdVcDUGxcOFg1QxJK4OtHTOEcrjei6khmY/yFofcO3AFkhhwZUIlxMJgyTHFPvMxjdZ6iuSqGS2v0U+H3Puuac5/aoHOHL0GBiHKzXZeEyqLXqSUcxndGTE/v6EtJPw2tc86BmhMext7+DKgovPn+PK+Qs8+NqHOXr6GAKDtIYyy5ls7XH+mQuMugMSkfDFz17g1s0xDz1wlCSxpL2ElSNLmFJ7NNQJrDE4B3GUorUjn8+Ryruuut2U9SN9ityglEBI0JY6g27rZs50krG+3mMUJT6NVyhkXCmExmGsRgpBnPYpbcqFS2Ou3Nhl80iP9dUB3Y5EVf1SOofDpx+XWlI4hREJVkbgc4YqPqQGPT2InASXTsMgK6ugWFErM5V2uTCeFtCUu4zEb0f7P0JBaRSRRbQjxJa0tcbQvEV5wL3jV4p670Mhe7jjPIe1u/22vX0hEK0iR4ulQ7gMKXOcyHF6Bi5HihzJlEGkvUCQhjgpuHzpAmdOn0JYizWGbr/Dax95NZSGUdrnf/2Pv+LYcp+N1XWu3LjOax+5l2jPceXyFU7f+wZGm0cYbKz4mhtWoAYj/tZbv4/OsI9LLKRd5vmUvRs3GF+/xQsXX+B7Xv9dbCz1UHHE0bMnsUKiRMTlC5eQzvH8uRukq116wx6u0Ey3J1x97hJRolg+sopKQFMiYgfKYLVjNsvpdhRpErOzO2eoQCpXlxK3zlZBq47xZMJgOPCC11rvoiEm7vb53JeusTc1nDm9hM4mjEZdkl4XEXWYaumLAIoYEcVEcQoyIsSaeP4TVVHcq8pCqZQAGRZuv1grpTChomurL+/g1anGWgi4DShKEBTBEnIiZA/dKWy8f7l1HhHcPa0g2QOES+1jtMesIChIVKhIBSk7H68gqvsMir4T/hk71wTr+vM3boxX2iHtDqT1oNcfGhSs+XzgIIf8po1w0BSJc4txQaFqDlCnrHsbzCscgf21MfAq93jVt94FbirFxqcEe8Ogolh3GlzmOUycD3RVdo40Gfl0i0hPiXRKNpnyxU9/ku1bN3no0Yc5sjQisiW6KNm9scXO1ZtMxxNeuHiDU2dPMHooIe0oRFTQ68Pe1g2m24Y0TX1BT13SH/ZQSqELA8LhcsP09pgXnnqe+V7GysYyRe7IdgvyvTnZfkH3SB9rBfnc+CxJW+Bd55ay1OyPNXlmcBSkqfQMrs6R9iQi9mio0Q4ZO4Q2lAVMprCzBYOeYmkpQhh8LI+TOCdxzlcoFjYi7i0x3i25cWuCcJLhIKXbxRdCFNIjJwJEFKOtIjcSKxKcjACFCuU2Dgt+vUsB2yA/bF2eI6CvzfbDYtteTsbHd7yCgmgJU+5ELBZExMEgRXewM9pKxaJa07ZED7p82udbvLTFz4enDgqUMyhRIM0MZWdMxleIoilRPEeJEhxEUYS2vnR3nhekSUIcpZw9cx9SWPIsIxaCp596lltXbvE93/sYo/6Q8dYOOzcv8bd+9C2cWjsDVnPqoVP8P47+HZJRn7jbYTbLGCwNyfZn5LMJJnZM9Yz59i6jzaM45xgoxcSU3H/2FNpp0iRle2+XwdKSDzzLNJevXyVKE5756jmOnlplpCPiWFBMDU989nnSNOJ7fmAJ1y/RpkBrQ6nn6Nxx6dI2phCsrPZZX+8ilUNrT72P8ELUWIt10O32vBtCSIRMECLCuoSvnrvN7iTn2NEeTu+zvDok7aTkTlHoGC0TpIx9QGyUereO8vEmtYISxT5bJ4pAyMptomoFxbt0mhHiYfvF+JMaPaFCSghIC5Xx4gWFFFWNjMrNI1oKUC08Aoy7gLb4RSRwrdTBtGFcHhhzBxEVoSpXD21kxCs3tv4iLFuihobrGkDCK472ZSTIXm7tTllQ6xSH7f3XOn7o/8MMsIXWilGpXd1VgGuISwguyFqFda5SSgzCaaSwPp2+UnKE8EGvUsyxZh+nJ0iXk012ePxzf8VSv4c6dQJbak5tbnB8bZX19Q3ISia7E65fuUYxmXP5/AsoIThzepONzRWEMkjpmM8mXL96hXI2Z9Dt00/WEEiObR7j6MYR4m6K0SXSOcw0R+/nbF3eY+f2lB5L7NzeJ1Vw6vgSeTbl8uUJa0eXiGLFpYu3ca7g2IkV4lQxm2e88PwuuztzTpwYkhzpeQMXh1ACYb3sQTmw3t0eqYijR3usjDp0OqpizA0pGRJEhHCSTprgooRJLrl6ax+H4dTJFVaWukTKIqSg1BqHRcUxWihKp7DEIDtA7EnuhI8Fa1dO9yhJIxvapI6hynpAaf062WLFbiknjew6hLz029y+8xUUqHPxEQLjGmqcBqE4TDkI1maDvLQDaal/8+LunbsFJ90NZbkDjrOWC+e+wrGjJdZdROgbmHwfIyVxf0i3P0LJtLKUOh6StKVfXIXwdWSsI047ZJM97n/oDK9+7AGuXb5KHAke+a7j9Jf6dEYJAok2EHUi4pWI2OY89ZefxlrLmcdehSRCpRCplFIbVo+sY0xGWWgskt7Gqh/4SYxRit7KElpJyrJESsvrv+cxti7tsXX1cZ74yy+yenyZsw+fQAk4feo4Otdk04xECcqioMgKstmcMtesLHe5cS2jLEt6/R7GOnZ25qSJpjtMMNZ4lwM+eDUskJ54LGJ/KtjbN6yvpnQTzepqh7jjKexL18cGCFZGqChBRp7TREURUfVSKkIIX7W0STGuXC816R2Nm6S1sNwZAO1qBUNWyIN1lbtGiIoBMsS2VPEege+k5VsOiEi4DndgrDVxKI1ycrdxeuCbheuXUmKcBledy7WsqrCgBReAaxCcV9rhLTzdkEVzN5nfuJ8XUdc7nm31UeIXK8GdckcIUacA361nZHVNogooqRG9Kp7Ky8pQ1dwghEa4AijBFUhXIFwGNseaDGsz8ukOppzRiyXKFDz6qvuwZcnzzz7LlctXed13fRcnTpzkhfMvsP34M2ysHiEGet0hg0ceRkRgKOmtJKjYUOQzismYcjrl8sXLnD1zLwJBnuckSYy1IKTFlnOyec58ZwqZZnXQp0uHNIopyhwZG4ajLr1BStSNkLHAOoNzGfv7E4bTHkPVw2iH1prxXsnSyDAaOWQkfTCsBmcEAosxBbrIiFRCt5OQRpAlJSoCEWlQBiQY7ed3nHgEZF4Kbt4esz+esrrcZXN9SK8DiBJjffwhSmKA0kBJXCG9CRAhm1KT9Txsu3K8PKkUk1AOIxQXrQaZN25cxWskKh3nsLVL3H3wfBvad7SC4uHJanrdJYAVdycQ3bh0Goi++esnqsdAQ8G+RWVjcf+XfNGtRcRR5lM+8bH/L2/5W8cZDbdw5hadKKHbWabX7fiFKvLar8IzB/b7MVJYrC2xJgOrcaYkkhaZxlhdsDTsEqWO4/eugRQU+TYqA5wlw6FdQVGWHD17lH7aw7gSkGjhEM4gcZRGoJ3xvmgFSb+LtCCswGp8Dn5h0fOcGIFy0Ikdjz56iu1bu5x//Bnm4x0efM0pTj2wRpGVRLHBzHOymWa8lzOfzlEyQomEoxspQhlKbZjMcoQU5KUl0SHNUWCMV0g9sZrCWv/+6XM3WBl2GA5j+oOIKFaUZYfC9bBRBychjiKkipEqQam4UlJUi7Y+QqjYoypK1qJbhpS+Q/p9UfG1EGI4EJVbpIl38sc8aMGEaPwWh0rLQgqxKT4wMZT3O1whrg58x7aDgshnP4UfQii9LkXUQoAbNtr28esklJeZpfVya27hH7UyIPxGINhHbRl29+O11UkZlIvaFRP2aQKeXYDqw4JWqyKV3KszeRryOI8POoQrcTpHuIKynBHHDiE1jgIpc6TLKIs5X/j8p+l3Eq5fvsTKoMsjD76K/d0dVpdXKAuDKA2vfvTVbJ48gQCm0ynPP3OOK+ICQsCDr36Qk/edhKiiQShnjHf3cdqgrGO5O2Bw30P0h0N0ofn8Zx5nadTjxIkNlBFoUzIb7/P8sxcQhWBlZZXVlRgnFKfObqJNSZIoklThpMEJi9aW5dUenV5MXBHBGSvo9TucPJkyGHbQWiIrF43RHlMsS8tsUqI19DoKIoEQhjgVvgSA0DhnkU6g4gShIiwR0wyu3tjm2s09Bv0+JzaX6acgMWhjsJaaALK0glxLrJJYoXwxT1FVVVchHmhRbnhFM3ChNJl/tSHkodZapoRx46dwUHpC0L0fXe3iod/u9h2toEAFQYcZ6ryl1xbRtWCuzN8mJS9YxI3F6//fTFa/aVExCbvfGfcSjhP2CccT1cLiEE4hncBWKX1KOP7D//O32bv+RUbvejvOTFEoOp0hg8EIVRWq8qykoJQlm06IlAM01pbofOLpm+dThNHYomQ+2SeKlA+0MpXv2VVX6EIArsUJjRrElM4iZWANbQosIiTCGrIsJ007GGtRSpJnOVHcQRGj8xxZxfoYYylKzbPP3+LUxjIPPXgPNtIUWc723jYikvRkUpVGL7hwbov9/YK1tRGTSc5k7Dhxz5DJLEdrSb8fsbTUwdqyqfshfbxEFPm6FMYoLl++zVJfsrrSo9NPsVKQO4lxKU4lIFv1dVSVtVMpJFJJpIq8kIjipoJxzaro40NCx7d5QarubsH3ohbzXhY0Qa0142sNuVb+4JbgCAdTdQHCarERrXiDuiiYak4eXjTKyKIlHpbANqQbkMVmzlRRKIRVz7Nt+y02MBK3Jdwr7a7N4w8LjjLaCbyykltCCB9HJRpsA2hkk/MxTFGV5YHzab3OGqSKCBw8NRITxB1gMRWHEuAE1jqkqjVMPE9JgXCFR/kwRFJjyn2K8Ra729d5/oVneejVr2JlfZk4FiTSYXUGUnP2nk2c1ayNHqCvFIN+j9hZKAo+/4nPo2K49+EHSPoJ0719jp7YBAPPP3ue/qBHf7mDsXMiB9l8wvPnz3Hl4g1OnTjJiWMbSCdJZARaUORzbDEjG2vGaUKnF/tqv1YynWpMXrKytkYcK0pt6CqJMVFVS8rzvviYREu3n5J2E2QUobXFIZjNLFJIkjTGODznkvWKnHUwn1suXy6ZTDTHj6dsbIJTAoRCa42woKTEKYHqRRihyI3g2Qu7XL6yzZEjfY5vDBl1QbkSoyuiSZXiZEJpFIUVPu4EReDhEtJnFTfVihVKeje0q2SEL2zq5Ywnk1QNehti3PwQ8JJIUo/MRm4ANMSUL5f2klWlj3/84/z4j/84x48fRwjBH/7hHy5s/6mf+qmWdehf73znOxf22d7e5r3vfS+j0Yjl5WV++qd/mslk8te7gyq4VbiKvZFF+zKgLE1MQLN1AaKvDtIoF+3XQbTkoK9OtF4Luy0UL23RHYETnPvqV3nyS5/k3X/3DfQ7E5zep9/v0u0lqMiiIkcUObDeatF6D9wewu1jzS5O7xCJKYIJihnCTn2l4cgiyXFFjss1Qhtf4dMYclNSmhKc8BazqAIhg9WOAOOVFWscEkmsIqw2UGjmkylSWJzR5Nkcq0uk1Gg9J8v2mc3H7E+32drbYrg2YLDUI5vnlPOSfJpTZhqrfUp1HHeJopROL2Y6LbhxY06WC8Z7lksXp8xmBi/mwaHQxvM4eOsgoizh8rUxhYajR5cZDDsYochsROFSjEohir0bJ05QcQeVpkRJQhzHJElCnKTEcerTeIUnYQtxJ0EJqPMYqkl/2BhqlNQKQRGychM1KcFtGnxRxaAIFQRKw38iKwEkWgqMVKoaQVAXA5OLo72tNLebkM1Iv9MB0IxzgUPYCjGrDh1mT7j+6stD5sQrrd2a0NMmMLmhyvIpyF7XdfW4CDC8qFJ3rTMgPMmXC8GtgiaOKLCOWk/T7o0qh6MEUSBkiSBHMieWBYnKkW6fSOyjGKPsLpHZoty/RLb7PHp6CZtdRhZXGcg9NoeWxx48xurA4rIb6P2rmMlNbl48R7Zzk75yrI369NKYi88/z9XnnufJx7/MtSvXsK7g1Nl76A9G7Ozs8sXHnyDTJQ88+iA/+PYf5DVveIRuP2Kyv8VkfwtbzlhbGvHAvWdZW1klEornnnmej/3p/+bCsxewhea+s2dYXV7j4vnLXHzuCvO9jFgmnDp5lOMnj6JiydbuFl/+6rNcuXYNUyUT3Lx1i93dMcb44pdRFKFihZBeQDvnWD/SZ2mlC8JhrEc3jDWURntlUcae0dU5tDOUzsdhFVozm5XMZ5psptEaLIq8lLxweYfLV7fp9XpsHl1hOFAISooiQ5caKWOESjDEaGI0CVbEgJ/r3iVd9akAJxRCRF421fEmjRIS3MYLTNQtw0XWMiMYK9Sjc5Ff6W96tty9vWQEZTqd8thjj/GP/tE/4id/8icP3eed73wnv/d7v1d/PljI673vfS/Xrl3jT/7kTyjLkn/4D/8hP/uzP8uHP/zhl3o5d20hgCxQdNfF91rCe6FA24LrRVSuncPa4oJw2Pu2YuPFkifBcsJhhMEBSkZcvXyRs6c3WBppinyPPNvBDAXGOowtEdIRydTzaUiJNZ78SBuDsAU4g9YZ0lmwGukcSno1aG9nzv7OlFMnT1KaHJVKiKprEb7MOVZWoePe3irzOVGUIKTBGA0i9lVttWa6t09ZaPr9ASJVaJN5WiZXVtTSFkxJr+d49LFjSB2xvTvh4pVbnDg5ot/10CsllGWBc7Cx2WNtI8U5w8bmgCgSaF0yHEVECXT6zhchC7VRnV+8cRKjLds7Y0Bw7MQqSsUUzpNoG+nRlSjuoOK0QkcqN04Uo1qBsZ6cTdYkbe0JHTCFhd4PSoAIqNRiQCy1ohIUnOpYVcqfqqwboGakDUFsAbWp6cKDUlBXLa6sJCGrxehOSdJ259wZxyAWYliEFE2sCdWl14tmgwiGMR/uPXCqvJyqnr7cmnSuQS9oo5eu7ksqFBcHLvS5lBgcSuGzp6qhgzPelHaebdTP3+r7yjBz1oAwSFliXA62BGcR1nr8ThhKPcbYORJBhMPmE/auXuD27dvcc/oE3ZUhymqmW7uUec7S5gpJHFFkGcVsiksjOrZg/8oWxlpG60d44otPcP7J8yyP+pw+ew/99TXE9eukSyOESrjwzDmObGyysXnMp+tqkM6g8znW5hjt5XNvaYneyMuIPMu4fWOHG5dv0ZExo0GXbr+LnjnGuxlbt/bopQP63SErS0vMZjOK3DDZnzMdz0jjGF1qVCzodCOc89k6MvLUAVZbH9PmJJGUxJHFWY3W2htnriIwcB7BVJHg6GYXbSK6/QjwvuZIxkymOfNZxokTK6SDASUx17fmPP/8HoNulzOnl1kaKKzOmBdzBII47aLiFO0UhXZoqAjYFBZZEUaqJsNPyNZn6rWqHYNWx7DBQgxb43iuUsQ5OLdFg8Dhx93Lpb1kBeVd73oX73rXu150nzRN2dzcPHTbV7/6VT7ykY/wmc98hje84Q0A/Pt//+/50R/9UX7rt36L48ePf93XctC3vsh50vjYnK9bfcDKbfYjwNYttMTVPtq2kG+inb++FtL5qkElfLS2Q2KLjGee/Dyvf+0pOnFBNt0hiSxKWKTQyEB77LzQ8lQUkjTtsL+/R6QUkZDEkcCVJSAQzjDe2SGKJKlK0dJy+8JtZlnO6uYI0VGoJMVhiJVCOIspDKUucaZASolWMbb6J1TqV+HCMNuZcuGFK7zmsYcxwhcdNLbE2hKswOYCkxvG+zM6vYR8ojl//hYXL+6hiDlxIiJKEsC7gpCSLC+wtiRJJcOliMCiG8WS5ZUuMlKVEuSRnEhFOAdFUWKdYDjsMYpSXBSTlZLCSYyMIUp9nEnSRYoIGSfelRN5V46KglKiasbYEAMiA727aMbX3aZrqEMSUqGVatwudVyHjLyCUUO0jX8YKWuYXwSYtnYjijrQzS9o4Xht99OdCnL7b+BksUH5pq1Qeeg6LHh11kKFtrgFhX1Rsa+Jol5BUO7aBFT1taqsGWdxwj9z35/grHf6OELwa6XA4JXASAqs9RxAkZI4o5GVcmisQSqBQGNsiRISGVmcKLEUGD3BlpnnB9ndZXk0oJNKTLGLLiZ0kw62LLh68Tzry0ssnVhmb+cK+Z5gqT/gz//0k+ztjnnHj/8w6+tLXLt4gS9/6Ule9dApbt26ws0r10g7Hb77Td/Hww8+wPG1DYyxbJ45RWc0ZC4hxyKjiLNnzpB2UqzTzIt9SjNDoHG2ZLK/T5KmpP2Bd1tYiZAWbTVr6wPy6TKrqytIJM4ATjAaDJnsS/Z2ZiTRHlEiKqPDsTRaxp1UpB1Pvmisl43TaYEUjrRriRJRBcAarBHo0tcyq5WYqrJxFTOAtRopFcvLKdpKnPC8KBLl6+wgiNIYmfraXpMcLl2dobXg6LEew67EFDOm0zFCSPqDIUKlaCPQgK+xXLmSkVWQvA/UpxWsX5OzVTIhZOoE48YbQmJh+8GVqg2u1uvLncD/y6Z9S2JQPvaxj7GxscHKygo/8iM/wm/8xm+wtrYGwCc/+UmWl5dr5QTgbW97G1JKPvWpT/H3/t7fu+N4eZ6T53n9eTweA02gz4sKytamkIFwh+Lh2vTQ1c8ENQTrWxVXEBawWuQfbslWIQkI19BN+8xY4S0fXZCPb3HP8XuYTy4Rd6wPFpUxSdxDkCBlB4g88mItRWGIo5jRcJ0in2N07qsSW4FwkmyyzxNfvMipe9ZIiIlcyuc++yxal6xtjnnVa88ijMWWJUWeESnBrVu3SeKE0aiHo+DG9m1W1ldRKR4ZkQapoZvEnD1zHGxJlmU4BNaCMxYlYL4/Y/vWjJs350xnJRtrIwb9Id10SjeJmY4LNDkrqwOv/tjgVw1KgmWw5Ct1Ih2e+t/H4AjpKmFj0brE4ojSLrgYjaLQksJGGBUjohQZpz6NWIVYE0UUV1k6yv+VQiEqevyQsQNecIXYn7qXDyISAQatZrcMLpeQLiwETXxJI1ioxs9BxUPU6YIVzC9aqEyl4Ip6e+MOaCLy7xyHwdVToz1tIrj2fgQJVaFFIRi2GvOH4b0vt1TEl2dTiACLhIAfFoYNDkskvaICoiWHIBIKrCVGgLMooymyGU4XKCWJpUQaQ1nsks93sEoja++AI8aQWIcVmrhfEsf7ZLMpf/Vnf87xtSWOH9tgd2+b0WhAvxtze2uHZ77yJI888iBRDK/5rvuQwHIq2L7wAs89/iSjTpdup0t/NORUp8vq+jrdpRFx0uXSxSsMR0skgz5Rv8t3v+l7GPZ6OGHodGNms320zsAVSKxHqIWi0xshoxipUpyDeTYjUYqkl3Dq3pMcWT/K009e5PrnHuehh+5DAEujPrdv7HDt6gu80FOcOXOc9SNLCBy9boJgiBPePWa0ZWdnytVLY4SIOHpsiaXlFCcsZVlS5AZcpQQI2N7OSVLJ6mrsFXvriOMIh0QbWyHUfi0IC/zGxgARxchuj/1Mcu3mmChynL1nifWVHgpNlhVEMibudonSPkbGaANaeNZYSwREIFqKSXDzVuzRQkYL1AKe6blyF1eFCalcQ2EtkwdRUxGM7IC8vJgn4NvfvukKyjvf+U5+8id/krNnz/Lcc8/xy7/8y7zrXe/ik5/8JEoprl+/zsbGxuJFRBGrq6tcv3790GN+8IMf5Fd/9Vfv+N7DcOD954EZ02+7G58JNJ3ULDiHnXURZQmd2vTfYSla7d/68zphqvcSKSKoKinP9vcoZzeJ2aAoS1THkcbev+hchJIdvwC1LG9jNGmSoHWOcxKlEmbTPVxZklaLyZG1AbGIWeqvYJWg203I5h2+/MR1Hnr1w9i55tqFXc4//RzLo2X2JxO2trZ45NX3Eyl46pkXePS7XsX6sT5R6lGfUpeoxNKJJNoWvpifceTzkn63g9UFJiuZTx1f+MI2eV7wqvsc3WRAr5/SG3jnRBx1mJc5xuRIkRJFCQ58NLsToKyHVMPkCYqDEKgoIp9loBLSTofCeKbFTEvvt026xFECKkImqec7URGqmtRxFBOKakkVNUFnB+JEgqLQZhZeSBmnXl3qfhVS1b5cR/ALV+6ioKQo1Sg7QlZDpMVfIlrBbJWQEeFYIQBOhNTk5poOooiHKSn19VBl8FScLK6tjLSmiQ/mbebAYUbAKwrKizeHL/oWgpBlFcsTUs1dhax4di+NwHllxVmksx4vsyWRhERJimzOuae+xO1rlxl2U9bW1uj3E27dfJ7VtZTltT7OeEI9pSJEaaF0pCIiEZp5NkeakjNHl7jw9DOocsLKkVVWV0YgfA2d3Z0dnC5IE8m9953E5DmzrS2e+tIXuHrpFt/7/W9mZXWV0dEVkJB0u0iVYI1DxBErG+v0RwOccKyNBmT7U3bGuxhbUpQ5kRJEWIrZHF2UKJXQHywho4jSGMAyHu+jhOPIyjK90RAlC4ws2d7bZTKbIl3FAissRZHhUBRFiTEOY0qMdr6gaFEgKr6e+VQzmxXgNHnWR5cRThq0NvVUdNoHpa6sJCCsrw4vwUqHcz4VOKwvomWUKAVREuHiDnMbc/32DlvbE46sDFhf7uJ0wXQ2Q0hH0umSdPpY4eNZnFRYT/pPqAcmZCCJVJWbRy7IiUX0pIpZq5SUWm60Uc9DkNU7PQltWfF/uILynve8p37/mte8hte+9rXcd999fOxjH+Otb33rX+uYv/RLv8Qv/MIv1J/H4zGnTp3yC0wgnbKugrRtS0uktl6aTlvsjCaTp62ItNtiB7sq7uBwpeaw34ZIWYtwEmcVSgiUgCNrQ7L5hOFqD++Y9SlqDgXSuzOkrNhUhaTX7yOwOO0odUEknXdLW7BGkxVTTpw8RjbOuXDuGkfX1zl2cg2EIB6WWDS20Fx64RrrK0eYTwtsmbC5cZTRYIhzkCZ9rBEURU5pC6SKKY2HR6VMKfKygkMl8+mM2AnKWcnurSmUHSKhKEUHbTpcvbFPt5vglEEpMML6QDUrcNLT1Fuhq2wR5WsSCYEQMc4p329SIlVCoS0qHaKNYG4keQkFMS5KcTJGxV1UFIOKqiwdH+2upMKXIq8muwqViqtgMdFYJO0FuUY5aGBRVwVqeGFAhb744No6zkm0kY7wXVA+gguldW+VUiKlWohlCUqJqpSfgKzUY/GAYnJwFC4ggnXqaXMfh/FtNErYomJSu7pavumFOfZKu6NZ6cFNIUJ6aBXFWmVyGesrjwtKpCzAZkTCIsh8NfD9HXQ2Q5iSfpqSz2ak+hodrnNi8zT9wRTLmI0N6HY0qcqwAj9/jCHbm3Hh6ecZpAMmkz3WTq0wWuqyudxn8PADjNaW6YwGOCnYHe+Q9iN+8G99D4M05taVy0iZcvP6TVaXBtz70AOcOHuWE/edobvUwyh/f7MsI5GONE154JEHSdIYqzP0PGP70hW+8vnHOX56k6OnjpJWbKzz/Zy/+l9fYT7f5/t/4HtZPrFCbgqs8QX2VtZWwFicrJS7WHLm/lMcO7XB8miAKQrKTDNa6VLoHoPhkF6/i9Yl4MhzzfPnb7K7N2NtbUR/0CON+wwHWcU1ZJhnM1QkUFJ6hmocrnLrdFKPkFinKyJCgfO+pZpYEeETDKSLffFBFZPZiOcubHHz9i7rK0ssDbqYIifL9pESOkmHOO4gZIJ2ksL6+e9kUE4a9MS7ilsKSculKoSXZd4o8i4hXwAxKB9NcGwtL2hkWhP/1NSIuiOo/m9umnzN9i1PM7733ntZX1/n3LlzvPWtb2Vzc5ObN28u7KO1Znt7+65xK2ma3hFoC83DDTB2SI5atHhbn+v4lMZn54PNKm1SHCRXO8QyDYEHoVPv6M12Z4drsPVvlZA4q+l0uzz6utezN32WuB/RiWOU6hLHfaK4i3Oex9H7USS6Kh+upCOOvKVfFnm12viiVc5pHJLLz9/iTz/yBO/9+2/n2KlV8iInGaygzS7OCs4+sEEsBWUm2B/PGS4lpH1f2fOe+zfIyhmFTsFYIgVOKcoqb7LMS4y2FHPH3q2cqTCUc8P5Z29y//2nOXtqiWu3LOP9kgsXdzh6rMdpuhi0D64UPljWGPzEF8aXJHcKiJAiwqIQyqcSI2KywjHLPCcKsio9LiKIEmScIFRMVDHDUmXFRJGvsxOpEKhaUcmriBD5Xo8hQe3mWBhb1fuGsTMoBhIrqDJtfGDbwuSvXEAOH5fiArJCtb3lJw7uG6ma1D4nlLdvhKiVk4bfoIFv6/0PuHoQoq4XFKjzG+WnFbh7sN2F/yCUjAjP4q5kYq+0ugWK+FDh1zOveh4bIRzO5CSJQAmNM1Pm8y0KMyNWBYqC2M1I4hIhShIRkaSaeA2W+iNW1gQqLcmKnOXVIZQlOs/Yn0xI0g5GO859+Wm6pJx7+gl6vQ5ryx0m2ZxiMmFr6zbpKIUyYvfWHsPlISqB1d4IM5ly++o1Hn/8IrP5nO96w6s4ffY4S50uKgUrLYW1RFFCp9NBIcGWdDsx08mY+b7BZgUXnn6K7WuX2NwYIa3BGLClwc4N21f3yfJ9pI3ACqazCTv7uwxHQ7rdHrbU6HxOnmVIBMPlLn2bVuPZz9+NYx6tAUGnk2Ax6LKkKEp2dzMm05xBXzOfj0mTiPUjyzhKrwcI705z1laLt0e5hfBsrSA8eyvtNYYadJAyVJlXXj5pwflLO1y7vsPqSo/lYYcym2GLOSoRxElE0umgkg6FlWj8by3KG6NIcEERiRbREilrinulVCUrAldJI0cCO7Voo7MH0JQQZyZxC3NYtlDZ8N3LpX3LFZTLly+ztbXFsWPHAHjzm9/M7u4un/vc53j9618PwEc/+lGstbzxjW98ycdvC2dn7EKH1B3nHM42qEeoPusqYo2aWbGFc9/NQvR++tDxh2wPSpAIGRICH3RSCSrnx7bqdHnVa97Mlz9zC2cNURTR7Y4wRmJspQE7AUIRKYUzBhVHWFNiihK0JgJKY9BFSWyhLAxSaoYrHf7W334U1bNoOQepUEJRTEt0GWFtxNwYnv7qFV44d4tHX3eMex9YI04laS8idgJdWKbTMWns6PSHWGGwOiOfFwijuPrCDk8+vs3SKOXs2VXuObPKdLJLrBRbW7cZDGKOnehy9NgAXyEXhEjAxThTIpSvHQRV3EnN4NohkjEIR6Et89yxszensJI4HaJUHyFjVOLJkFBVCnFVjZjIT3AVJdU8baBQUdWiaCsnVJkstQCS7cnZEgAEN0mlYNAQuDUKRxs1qSyxatCFIl91NWIRamM0igothKYSPwvKVFsxcRW0s+DSaQfPHhi7zoX7ad3dXRSdg8hJOL+1tkZRDrqWXmmLTTqNdAYpLcIWSHzKr3IFsdJM812fHiw0uJzYzRCqwJkcGTmS1HOlJDLBaU2mMy5cOsfFy1d47etew9rxo+zPxj4xb16Qj6d89hOfYp5nfO+b3sTxjXWWOn3W+j2m4ymf+ovPsDcec+rYGifOHiXPZrgErlx5gYdGD5GmPXSes7e9w3h3h2yyw/qRFZbXh0TdiFmREdHzwaPOoYs5aC97nNE4Y/nKE1/m2NENRoM+R44fYbTcZ7iyhHaWYlagrCJ27Uc/sgAAcS9JREFUivWlDk70iWUXo30g+WAwIEliQjahLXKE1ZX70aKdRRIhlIIIuoMuUZKSZwXGWayxaKOxlKxtxAxzSRSBFDFRpCqyOVUV+PSOVOtsndViKtI0UNUY93O8FgwiGLs+kD6b5wghiLtDLl7d4rnnb7O2vsTG2hCTz7A6I0kUaTcmSROitENpJT7kRYFM/NokPVouZEB2mznn3Tdy4bNHaytEdmFftfAZIevg/WB813FuNSLcyIjFuLSXT3vJCspkMuHcuXP15+eff54vfvGLrK6usrq6yq/+6q/y7ne/m83NTZ577jl+8Rd/kfvvv593vOMdADz88MO8853v5Gd+5mf40Ic+RFmWfOADH+A973nPS8rggcUH7K28esMCahKUBtGCrhejmSursIlsvUM5WURhQhMLAXCNMkKL/6RaxIRDOOu3CkeJortymode+4NMb32GSOU4q9DGEtnSDzShwDiKMkMp5V00tqTMZqRSoLXGlSXKQZFndenwlWNLDNaXkDFYGzMbG556fItL52/xwP1neO756yyt9sinILHESiJkiXWKSEm0dggDUnd44ktXOfvgMVaPdinzgshBnuVI5xgNBaurfWazCWkqKU1Gt9fj1KkOvW6HpCsZDGOkcahIop3GYEBVC6kSQAeBQkYRTiqcS9DWURSWyVSzs69RaZ/uYIiLUmRcxZZEMUjlA2ErX62sUom9ouMFiQqU8nW0+4EgUeutJtdy2zXbG8VDVrwoIY7FEZCMxoUoKqulRudoMl2UCinMYoHDQEjhFd6g6FSpgh5BaVw9YUC1A2jDeZpYknbAbOOyqs5ag3/teztsLrXH+90srVcCZV+8xWKKctsoZ/AZKxlKFCgzA1PQjXKU8qytoIliTakzXrj4HKdOnqDT6yGFd90661lQRytDHh09zNJwCYxlaTCkmBZ84qOfYaDg5MYJtve22dve5uq1bV732gdY2uixtXOD69dukmU5D77qHgbLS9hE0R32eeCRBxmORhXBV8zSaMR9993L5rETLK0u0VvtIRJJbCUuluT5nL29XRILej7n6aeeZmV5xPFjm2yuLdFNJEpCf2lAd9QDIdHWEkUpelpSzAqSSHHl6i672zPiQYqKIzpJB5zFGYMtDNl+xmx/HyUVSTelMJY4kUgcVlgvO5QD5bwhaB3G+MDXfj+m20kpS8ve3pxuNyZJPdWDH/K1s7Ma515+WOeYTmcApJ20Ngg85YQPSPXkeJKk26coU545f4vzl3YYDUesLnUp53OkK+ikEWkvJUpiVJT4dGIrcJ4XH4TECYWUnvqACom9Q0GpX43iUbuQ20jsgbndfi8r9/LilkVj5eXaXrKC8tnPfpYf/uEfrj+H2JD3ve99/O7v/i6PP/44//E//kd2d3c5fvw4b3/72/n1X//1BRfNH/zBH/CBD3yAt771rUgpefe7381v//Zvv+SL94aiC4h6tV5UXSFbxQNDIFQriJY6uQ/a3RYSdGpovCWgm2DCBnNh4XiHtYbJsdHEHQhF4TosH32IblIynTxNls/pKo3WGSpSOFtSGo2q3DlSeveQkg7nNMYUvjaP9vEt3U4XhaC0GqdKH22OBGs5/+wNJjszni6v8fyFLY6dXueh+9ZYX4lYGnXJszkqllgbo3PBtYvbdNOESES4ssTkMU47jDEYq0m7gqPHB3RShbWOOIlZ7qYY4zh1Oqn8tRqHoSyMv/2YurKqrCp0WmKU8MFhhRXkpWIyL5hMS0oTMTpy3FsYkaf59xH/yvO1VJPaZwFJUCE9r2FbFVFDRhfQjaBTeuXA+3E9iFH9ZRG18BTwlbulCl5rBzD7bq2QkxayslB9tBYilQJTKThKRvUgClk5qlU8cIHCXrQU5WrAu9bIa9CPJuYk4HweBWpSh8M+bcSwPd7D+xqdDErQQXfSK+3QptwNKCdYfBkKsL5mi9Q4q0ljhbOWoswq5ECikg4nj58gTRIC34wtNZH0Kfaj3sizqzqJKI2H/I3gxPoG090dhqMR6yeOoHqK4dFl+msDysmEwWqXE2fXMAZGx1fpba4TD7pE3YQEj2Ao44giQSkESS/FJgqReu6l8a0J6XBIHEmEs3ScY//WLS4//wI3r19j0LkPrGY06qGkwpgSh8WEFGmZ4Jzk4qUrXH7mEtlYM53OuXrlJjrSjI4kqMQT0kkN4619Lp27xO0b2yAcDz5yP4OVAU5rNJqyLMAJrLBomyOdRGvNZJKzuzMhTToV35BjMFAkCQhlfAaO8BxKfl5TVSR39fzS1hCpGKki//wdWFdly6DACoyTONXh8rUJTz5zk+WVEZsbQ7AzHCVpN6bXS4jSGINCu4jSSkqnQMUI0cSb+Mycyk18IBBWVaSRssWJ4mPZ5AJqG0wQ30Tr1Z6/Af131e22ZcDiOvdymtkvWUF5y1ve8qKW0x//8R9/zWOsrq5+00jZRIV2SNdYibXvkEboW+eDVeWCBm39An4YHB7G7AFBLIKCEXaAKjB3MfalOhINciPq/WtTVii0XKK79hgy7ZBPv4oUM5wucUXZuKFEVKFCxsOP1pLnWUXAJCmdxliNDuRyouJNsD6lWIqSR197gsmuJs8ku5OMOIbhsiKJEmTkiFSPPJ9grWE+lUz3BToTbB4bopQkm/oKxEWRIYjJCo0TEZN5iZSS0hb0hz4rJ6oWz1JLsrystP3AjgpKCDwjokTJuK5BMSsc40lJ6WLi/grdtIdTEhX5bBxR8ZUEUjWpIq8ICa+cePdN1EzySFWLuKi6S2KtI1QI9kHIst5HKe9bXoj5qPk+fDxHUH5FtX/F71m7cIIv2CsilaIhA7lbsHaqYxOyPHy3SSE934MFVEsJacVGNXElFW9JS+mC6n6qTBFjDIHYCYGnOq+VN486HqaEhBbiTQ76sZu58HISZS+vpvNLSDOsqe2xjkgklEVOFEc4FwO+SF0cRT5WyQlGwyXP1+Uss+mEVHlytt3dMZ/+xKeYjeecOX2CVz10L/3+gPHWDk995Wmmk22mxZjXvem76C336ccCnCUadNg8c5zR6grGOeJhl7Tni3HOxxPiToJLBfk8I9+foPMMhEGmEist16/dpNfrIirXi7SWRAh6acL62iora8t0B11KU5JEKRrL7t6YtNsh7XSRwt9XWWhEpChMQbc/IN4zPPfM83T7CUk8IO46VAwKQSQSJrtzbl/fRwjYXt0jSVNUGrIiffqwKQ3WFhjja+Vsb+9z++aUwQAGg5QkUXR7MbLiNNE6oN3SozX4ueusxRqBs9DtdgGJ1p5QMyCmfjGvFAkSLlza5rkLe6yuDlhdSdCFd4cP+indXkoURVihfD0zJFYmPiC2OoasKA98TE2Qaw3nSVsxCcqJTyX2XEttPqTaKApu3Po70RjWrdZWguCQ2JOX0bT+Dq/FE2JM/MLcJpdazNRZDFx1LlTFqLgknP+utpr90b7m2Q9amy92nQufWoLdiIjMDVCDh0hkwmz2VZY6U9DWZ7+kCdZqtC59GqHWngvB+eBirUu0LsjLOdYZT4tiLBh/X9ZYhNSsrCmOHukxGecsLR3l5u3baL3HaNRHSEWpc7QWGOMotePKlRnXrlzjta/boHBbnL1vA4QPpNWFIcsjvvTF22xsDLjv/lVQUwwZ03lJvx8ygQRPPbXD0c0ljp9YRkkBslKiVIJxPhunNIr9WYm2is5giUQkeGmlfH2cCtJUUaXkVLEg3nVTuUmqyagi744BsDSIRog3CemBQAWbqmqhlw1S0lYiaiSlOlfov2ofIVqsxU5U1ybqglsBiWu4TkQ99tpjoV3oy6M9baHRKLfBXbOg8B5w14Tx2CZTC4KvPTfa519ACg8oIe3PfiF19fFeaYc3U9wmkaoqJ+EX6Vg6VBJXz9Qw2d+n2+0RgDigTk12DuI4xVnDPJ+jTcHJM8eJo5il0RArHGWZYykYrSq6oyGn7jtO1PHEgDhVMVI7+oMO/TTCOUckBJOd23z1iScpteb0g/eytLqMKbQPio/BCU9oaJyh2+syGg0RkWReZFjrMCKCJKa/uoxxliiJEHGMkX6RTfo9ZBLhkghj8bE2GNbXl0le8yB6Cqa8wdVLt7j49Au4YpPRxoBOP/JuLxyj0YheOsYay/7ulKW1jH6ceIJIbdClxmqL0Rqda8rCkqSSNFXsbM/RpWZtrU/SSaHiXdrZmQIFw2EHGfuMT1shVa5CUqMowhrQdWB4oIeX1T4xWea4fTtDSsWgr1AUpIll0I/o9SJUHGOsotQRhggnY2ylhHiU1rt26pTiKhbFs1vLhb911XPhkRMvp9qxYZUyIqRPNgiJdgt2cuPeOQwfuVN2fPPmwTfavsMVlBACImskpW2RBovWU3MHdlgWFoiQReHRr5bQFnf2UgBffKZGW8g3VY9f8vUjsEIhxYio8xBxvE6WnWeWnSeNM6LSVMlHvvS5LX1KntYaozVGVxPMeKofKpePKS3C+EJbzjm6I4WwBR1Zosk5IlN6g4TtvTGrqyOKsmRnuyQvYDDokvYdaS8h7kb0OxXHAg5nfCVjJSRH1hOGAw9HO+PJ1JJOAsIX6Eu7CWfv22Q4GhB3OiglMM6XMCuMoCgh1wLjYoj6xFHqCY8qdlchFVZEFfIiQFV+WtXEgwDVvn5BVpWC4KTPmAKPuPix4gjcKg6qwoARkQgBrrJ2BRFcNi3UoyZZ851e6QiNQoSoIvwRdfq7t46aNGZRuXkaxUTV8TGuci3KtsBoKRgL40a2IdoGAQkunrYgauKrvjYKclBRPxiHcpjl9fW0D37wg/yX//JfeOqpp+h2u3zf930f/+bf/BsefPDBep+3vOUt/MVf/MXC7/7xP/7HfOhDH6o/X7x4kZ/7uZ/jz//8zxkMBrzvfe/jgx/8IFH0chJljjQyRL709/+vvTcPtqyq83w/a629z3THnG+mmQkoOKRM1ahUPvvZVklBKWVoS0XUYChl2fKKToyn2LZa4dBld4mtHd1qt41/VIca0dJWaEgZTYsUokLYUqi0PBCUckBByZEk73zP2Xut3/tjDXufc28iqGTehP0lDnnPOfvsvdYe1vqu728iz72JIzM5KJ9JWSvlo2CMpqqC7cPQbVmiolMjCm0UUxsmmdowhlKwvLTEP37/fnbO7GBsosMFe5+PyTSd8TFCjnxfm0x8Ruii7LOwNI9RYKzj6IH9sLzEpqkJ2lJgV+bROk95+Uzm/TEoHZ1eD7Siv7KMuDKkCBAGWOjk5MEUEZ3PnQh5p41oxcCW2KIk87og42NduiZn4ZFlNkx1mTtsWDz6KPfPH8N0NLue9Qy279qEEseWLRtwfYuzwsTUGO08o+j3vVJclBSDAltYnzTSOsQpOu0WmzYael1HnmtMFlRkEZxTdDpdFhYWWF4e0DNtHDHFu69cLHEOUJ6oWOewVlBawkLEULqMg4dnMZlh8+YOmbZ0Wl6x6XYzdGawAgNrcLRxKsfV8jnFGl3EnEw6C6RFEevpmJASIZp0lDJIzVw8amJNKkm06RKISH0YiZ+qkXEh7aPaaj0xlPX0VP/KGHZelaGwSOeCiSd85sLypFqPUl3c4b1WF0qNfA5Udeerz/0xK1t9alts2SoTUCBYylfVzHSXgd5Clrcg7/DII9+noxZoG0eeaVzZx9kSZwdYW1AWhVdIrIPCt6wc+IfKqBaDJccjh2fp9hSmpSixSK7oTnXojU3gnGUyH6PfL+gPhGOPltx//2Fe8ILdnHb6Fma2l3R7mlYrSKMSIm4QTF4yMZXRG8/QmaIoM5Tr4Jxmbr5garoNGUxtzryTmNYMrEYkp2+hH4pq+WrDbYxu+fBa41PeKwUmy9AqD6dXp6yw0UdE15aePvlaUD4g2XUlmHZQIW+JqgaB6OiaVA0VTDUhNwmBkMTcJd53yJPTuI337AghxyFEMd0RNTk23CGJNKdBph4GnNSbsJtIqGsmGKVjwreg2Ki6H1VVHkGbqlZOVHGG7uKR+7AePjyKWHdnVE15IgTl1ltvZd++fbzwhS+kLEv+8i//kosvvpj77ruPsbGxtN2b3vQm3v/+96f3vV4v/W2t5dJLL2VmZoZvfvOb7N+/n9e//vXkec4HPvCBx92WJxsKRStvp0lbEDAKKxIUPK9CdbtjOGcx2iedVMphywLE4lyJWB+pp0LGWWedr2Isll07Z+h22l41UB2UAScDiv5SKJxKqqmyUljEDXAairIgH8/ZddYuup0uqq2xUoLTIerMUVpLpjQqZHwd2FDaQsSXyADyVu7zbDjnfaYcIJ4QRMcn5YCB9cZIEaxTvuovlqmpFmeetYPlhWX27z/Eo8eW6C8tk1Gyccs4WUfYvHOSclCSZRnCClKW2MJSDBz9FUt/uWAwsH5xluXgFO2WITOAchjjx/2BtSwu9vHVh6B0UFr/XDinwlrDkysRr2A6G1RVM+yE/tDDxzhydIleL6fTgXY7p9s13oHXaERaFDanlDai27gQOWSS+cagTR4WSmEhFouFqqDAqqqiekrapjTK+JxOyLDJNy2+kwy3xj1ZW1SsdkOo/11XZk8+nhIEJa4Q/Y22WqIGSdK0iA/5jKHCo3K3ivtLAaKRRMSJRNJvR01JYevVbRt5X79ZtPI2UJ2BxaHIgU3k3XGmt23l8C/u5h//8T5ayrJlU4/xbo5ygi362GKAImSqdYIVzYGDs4yN9ejmmkePznL3//dDZnZMc/pZOxhYh3KCcwVa/E3tq3YqlGqxeXOLTqvLkcMrjE9mjE8qTBbWd+LJHtqgc0Xb5OwY68WYJfJ8HKW8F6xp+/o4AEo0hWgKm2FthhWNFY3TGkyOqAy0T7AWU8UbU8X+C9GzPaaLr1LTZ8EB1opLKglapVwC0RfEZFlSQLyjsQqEp1IgokrjHWqDs2wgNiqpFZXvSgzzNSl/SSSoNUISyEQiDfXcBOFY0Y9Eh8+qApb1iJyamciYkEAqKoGh22Fgcc6hIqHQeuh+jEQ93nux7TIy4I3eo6PE5FcpFPjlL3956P2nPvUptm7dyp133slLXvKS9Hmv1ztuPqS///u/57777uMrX/kK27Zt4/zzz+ff/tt/yzve8Q7+zb/5N7RarSfUpicXirK05O3MF/yrOSVrrVhaWg6+JwTFo6S0Bf2VBVpZhjiLHfQpbYkSwZUFthh4hdQ5Oi2NNiWF6+PEosrg8VZaX6gwjCuS1ESHcyVoRzbeQjuDD+33aot11t/bCgTr/Zfwi4SYJ0hEWFhYoNvpoDITshL7sacceKd8bTLyVs5gUJAZ/8y4sgxdVyjxlL7dzrFdoZVntPKM/fsPs9xfpr+4RDGZ45TDqQJnLM44REpw3u+kWClZWbIc3D/P8tIyvW6LvOVQyuBKf9+aHDLnn6+iBK27rKz4xJOtdu7HbSdJNYl9d8H8Xy1UgpIqhrm5FV87KDf0OjljvYxON0fn/rkuncJag8XnarJEQuJJkDE+saMymR+jYsI1ZVL037CCEszZtQRxKo1Nfq5KJiD8eCBIKJ2wehGSTD01tUSiw2VaFZ3iTrLrEfH0ioCP964nnpHAMKsB1kGS0SXYhNI2qmbu+SVMcnjgfuzV5GgkRPpbCSjB+aBUlDMoEQrRKLOTzbu2ofVZHPz5P3LL/76NXjbgrN2b2L5pDGUdWhVYKUBnlE7YtHUrDz7wADIo2DS9hWc/ZxfaaF9zwgU7tPaJiAZSYBF81lqNaZX0JnKOHF2gtBk685O8FbxOEPyJnQIxGiEjJh4DwXqvMrTKKJWhtJpBqSnFe7KL8hkTJaSHl7BqEG0wWY4EdUMFm6oywe4aBonKYa02cWvtI2ECOYiViiPR0Gp4heLVF2+CqfZTqTES3icSEWRrCcTDBTNMJCd1uTXZrFXlXOvCYKJRfmWrPekRPMlRo0SkRoZHSUIkPNV3ChGXqhsDmNCPqBS62n25lqq3lqPrL3OY/U2EGM/OzgLeYb6Oz3zmM/z3//7fmZmZ4ZWvfCXvec97kopy++23c84557Bt27a0/SWXXMKVV17Jvffey2/91m+tOs7x6ng92cjyjHar5UllMLl5lUTwafT6iAywRYmoYB62AwwriAWxJWWxDC6E3hYFOGFpYS5E/UiaPB3xHvH3gXUOZUJmZlHg/HPr8674CBZRmkK8UuKiWU/559zEZ8MpnA3EWBxaFHkg+7Z0/jiBBFs78JMuBrFeCSoHFuUP7E1XzmJLR39Q8tDDj/DDHxxh+5ZJdu2Y4hm7ttIvlxkf7+CsZaU/4JFHj2DyjMmpcV9SUQRnvYPssSMLHD64yKBf0to+xvJyyfLKIkvzwsqysG3HGFMbOxx5ZInF+QG98R7j4206bU2uPQmTIEVKuDaoYJp13mysTQvnNNZpVlYsBw8toZywebpDb6xDq51DKGhaiPd5czpHiGabmIMpZrPWoILviTEpo3WVq8mPZ1FBiTV5dHB0TzW9vLwLhOKTEpc1Lq7S/d0ho5QjmpjjPBT3A7G8CAzX7jnZeEoQlAitDVYsMByh4FxVICnWJIGQsSREZljnKtt/rQz9KKKkj3JDygoxsmet34zaC2tExQ8Jiowc7SxG2UBYwOGLSE3vPJPNO0/j7Bf933z/7m/z4/vu5MhsSX9+lm2bOuzYvhkplzBG0DJg86btHHvkGDprs3Fzi9I6LN7BVQSsVogRTHvc52YpFdqCuAKVl5z+7E1e9jWCiE9fL26Ao/RO7NaHCaNynPMPqCiF0wYrGdYpSmewYrwNVhmvksQiWGg0OToLBMUvBVJ4bozu0cE5zYsDukrxHM0rOq5QtK/lo3z22RTZo5RXZdI+VNqPUL2PDymhkm8kGDGUWAWxQAd5W0QwOihEtcJ/hO1JE3i0K+uoeqdIHr+IqUjxqG3Zt9tPOi5UsPUrozCUKHwOCIef8GpkRmrKyqgPyS/7fK0w48dLbB4vnHO85S1v4cUvfjFnn312+vxP//RPOe2009ixYwd3330373jHO7j//vv5whe+AMCBAweGyAmQ3j/ROl5PNvyKWYVK6l5B8PeOxUqJ1v1girGIK/02rsSo0ptWlMUoX54CKdHK4cSSZYJWJT6vkkZKPw75Ugk2JecqbOn94iTmMA5F5ZSPJnOuWn9FMg7KFzd11SIthhPooPIpk/kMrA6UdRRuQKni2CfgHKUrEGsRsWRG+QRqzpuoyn6flf4K84vzLK0scGzWMrOtx9hkh7bTZJmmGJRI6RgsFejcUrTbZJlXNWIStSxrg6xQWp+jpN3RLCysML8wYGUJpvtgnWFpwbG0KMzOLzEzo5kY73hyQqwb7VUTF3xP/LOlUSrDld4ctNJ3HDoyz6BwTE6NMTHR9iqM0pTio3QKh1+AhRBijEGH/CpaG0xW8zsJpuqoklQhxCrUDquyT8fFVIoSDGNtVFmDeF4b38K1TCpr7Z4M/w4vcupERY1sefJxyhOUatUZSQkos3rAT9sSH7z67yPVrA3GaUoZGYxjwqxVZp3jryhHV5tDg35YkSsbs8x6o40EucKJz3dQiJ+0zjr//+bM51/A4qOH+NmP7mP26M/5P7fdz8wmw+nPmGKsPQaZoTfdYdn5suWDgWJQFGRZh7IU+sWA0jm0MmS5YqynaHXBDlYwLZCBQ8oBVkoUBltqoAMhwsBpQbT2PiQ6x1qftrmUHCuZz2hqfFie0gaNQlT1gBJyCviokkAcTeUQFnME6GBigYpYpJVJVCm0JyGZjg6xUdWIjqsVCUoVfcM1TyuSeAnr5hpAh/DeLKtMQV5arTmSKpXMNirYr/0hwmqk5lSbSEntnhq9R71SUZmL4mfVd9U96QvOSVpRKQjESg2NMXVFsf5c1BOujT4nkRQNPTNr3Me/Cvbt28f3vvc9vvGNbwx9fsUVV6S/zznnHLZv387LXvYyfvzjH/OsZz3rVzrWcet4PcnQusAYTxh8FEsRRhSHLfssLc3T63YAh1YW5wpPMFyBuDL4j1g0oSqvWHKj0HkLV1rKUBQvz1rkIRR5YEufP0l5wuIcFMWAVqvt5X8liI0h7gYfxeKLl5ZlSWZaaJX5z51FKUVpHU58eoCiKBFrwQmtVouiLCjLklae++gXB2VRYMUnTRMp/QLIDRCHJ1OuT5Y5tmztURZ9eq02KoN+KPBnrCLLvePw+MS4VwOcRgrvByPOE/R2N2P7jgmsc3R7XhleWvIkzIlQWkcxKBif6NDvO+Zn+wyKPlayUBKlUg58bbEwBqXU8/7+ttby8IE5BqVlw6Zxer027VYOSntfFoESnyvFqcrxNaVC0FlKIBlN1DqqJ0R1paYOx2cuKDswMteo4cWzxM+ON9eF/9Wf1NXGAVVzP1HryshzyhOUiDRwBx+B1c6okViMFjyLuUNUuk66fmPU9z1ESH49DN1MIlicVxJ8qlnAYiA8bAqlMhTWT7KtSca3jHP21tNQbsCLXjbPwz+9n4M//wnLhePhn/6QYiAsD5aZmz1GsSIMlhd9yN78Eo8cW2J5UFCWIA6efeYWnrF9ip3bJ9i+bSul66OURckAaxUuz/yDrdvorO1DIYNQbZ3CiUFopWiWKJ2qkETNCkRH1SH1I64wVOZXR0J4kFUo3hUiA1xUS0LIZjhFKUIm2nBVLeUzwV8o1caJ/iXD5FVCe1WNrAxZZIce/LDKNLUMroGg+G/DfutOqbWBpRoHqlXOUNr9dDydcpZUKoZbNQj5ySWc27DWDXc5qRjiiHnTX5/q/Vomm1FT5FrbrGUGejy46qqruOGGG7jtttvYuXPnY24bS1/86Ec/4lnPehYzMzN861vfGtrm4MGDAE+4jteTC6G0A6wbBHk+5GoyGmctSll63Rbg/U6UOHAlXnzzobOZ0TgEW1q0BAVDwFoHojj2yCxHjxxj987d9HoZ/X6fvO1VN6fD80IwcQZToLMCGMRWgr5nUBZXQn9gyfMMbVSo7eWjX1Tm0w+IiDc/r/Q5eugISim63R5WNFq8CSeuxr1px0caKrFYq6D0hfmMLpmaamP0BpT19+mjx5Z4eP9RTC5s3jLGxFiL3AQzbcwUW5ZYfJtaLc3EVAsRX5G4tI7J6S476bKyBN1xzeLiMlmWsXWmy9TGnLFx452JlR8dVDQfx3QBeKd2lFcrV/orPDq3TJ45Jqd79MbHMDrDAVYUBYJVBqdMKPqXYUwLY1qJoKiYRDKarwM5Sc7+xnh/u+hbF/zdUtbYWtHSMPqMsotVs9EqRbS2Bo8LmbpaopIkSxor1wtObYIiNXYpIxdKFEOhwPEVQor9h549EyZQP1lFdcUFj/Rq4qhWoFEWiztaPVCPSuNrRfAkqR8Brbw/iAXvpTGSnEtUcISMBMD4PB8mQzodtp45xfYzL6DoL3H68xewA2+OWVyc5fD+QzxycD+u7KONobTiB00g14ZMaTItdDslK9qiJ3VILOUwWRtMTikKkRwn/veg0QpMOF/iQlvFJZXCPxSezESJMk3UYRKPg4IOhMb7r6rqEuqq2F9UcLzPSYzU8dcsVgOO57RacURn2Up1QAVHVpFgb9VD16YKO6+UEBX2JWnyj3b7YKIiEJPwd2VCql0zqr5Fv5FqNRMolcQxok5Ywj4l1AgJfTbGBH1XKlYVf6P9BFcnGXWCM0o8RslPfZvjKSVPREEREd785jdz/fXX8/Wvf50zzjjjl/7mrrvuAhiq4/XXf/3XHDp0iK1btwJw8803Mzk5yZ49ex53W04E4uTvQhLH6CipCYpWq0VR9JmdnaPX69DJMsD5hIQZ4ByZynHOopXGlgX9wcD7c4imk3fYumELLXKKhQHLiyvoyR5kgsr9sUrra5CVYn0Ifqhi66xXX8pyAOIzVQua5eU+ZmICrPIlNcoSbbwp0zqfg0lbMKI59PPD9AcFu3Y/g/bGlveTsWUwmbhgmgpjqAOxCuXAlcKgKNBaGJtoU6w4ij4cODDLLx6aA6MQp9FbHJ2OQpscJy74tVicBq0zjFFoLRRlEUywQqutmJo2GDMALbQz5QsyGs2k7niFRHlqkp7HNBZUFMCWltL6KvKdTk5vvOXzqWjjTTpWUTjvcyI6w1cgDL4lWQtlfJ0dZTKf9iCSjCzkOtExGjEsdnQspaFDvbBImvSqZxakUn3TjUb6/rGeyViOrt7/6AwcvyHliYrvTy5OaYKiITgIUctfIX6SFD+tOOXZd3S8rFaCimibrRvnFCqZXWTI2XZ01TgsjR+PgKwljQ857EpKmu99TQ1AFZPvHx4Xj+g988UnGfMToQq+NDklGbRz8nyCtvh9t6a2M739uZzpvBe/iMOV1kcJlAM/UBWlH1zEVxwW57C29INcUSJO0KHWBSiM8xJw7puKc5LUpvBRzYZdn8giW/eFrmJoXFQBlKpV4Y0yp3hrccxvEk5sUhriASXU04mF9kiEIORFUfGBq5Q2pfTQQFVN/v4YVeRFuG4qhipX5CEVwlZVxsZqUKlF2dTqZkj0CwjkI4bw1tPPe/4kRNJSa0V1Hl0g1hKiEFDpfaq9MUKwR7HWgDaqGNYjdur7eSIKyr59+7juuuv44he/yMTERPIZmZqaotvt8uMf/5jrrruOV7ziFWzatIm7776bt771rbzkJS/h3HPPBeDiiy9mz549vO51r+NDH/oQBw4c4N3vfjf79u07CSrJY0FhjK+mTSCz3h8k5mIKGZVNm8mJDWjtyXZRrPiFiDY4V2JtiVYtlIOF2TkG/T7tTkYry3GlcOjAYdQGzcH9Rzh48BFOf+ZOxqa7FDJgfHqCVrfrw2U16ExjBwXGKIqVAUoZDIrBcoHKDdpYOkZRLi1TWpuq/tpScMaiMg1SeoKxNCDThsKVuKLElgNAe1OJAud8mLRzZagn5ouPlv2CYmXAwvwy1oHJclzhWF60LC70KQtBBiBFhliDLbwJSiu8Y3+YTAtrWVruc/Bgn15PMTGZg8ObYgXGJ/KQ4VmjjfcFSgnXIkFJWqZ3YvYhxoTEl9arIVlGJ/fpD1DehOPJifbGNxWicrSvD4bJQghxlo6nsir5o86yMH7E6BxSuoT4/Ff+QMMKZqXYhqjA+t0WHuG156l0S/pt4mKoGvj8eYgLyqFx6OTjlCYo/lpWhZAgEAWp/vaTU/199VtvZ11dPj7uo658rCYZpJXsMMM9PuoD+9pMN+7HRQEoTGSk1bYEh08XV96h0JxEbqwEMQ4bQujQuc8sqwFnQQSlrZeVszbKlpCXOGu9/Gytr/IZ5FqVe7uvsz7Fta9M7B9/5+IEKkNVboEQ4lh7WGp2Twkyqn+jqgk+mkzCSi9N+pGshHOUVJKohgWioMOFyUKm2UjwnAjK6OQYGNWvuHqKZpG4r6hYJIUr9ikZaqsoMK2qUOHh+2C4uF49+dloIrQYDVQhnsv6OKLSb6OjYH0f8cyOon6vHY+MrKWkHM+s83jv9VFce+21ALz0pS8d+vyTn/wkf/Znf0ar1eIrX/kKH/nIR1hcXGTXrl1cdtllvPvd707bGmO44YYbuPLKK9m7dy9jY2NcfvnlQ3lT1gsUfuLyt75fmVrnEDH0V/p0O21yk6M6BlsWvr4MGYJQFAVafHoz5xT95WWW5gvu+/7POP2MLWzcMEXRd0z2NqBp88CPjnLs0VmfMv7wLNt2bka5PPiSOaz4sU6sg9zw6OGjKGXITIbRQmeihdiS/tIyi0srdMfHaXcNKvOLNQScLbwu6PyyaOP0JG4aer22r7AenncRlcLgXSlo7ZBSGCytMDe7RDnQHJstefTRBTrtDhPjHZTTTE1MsjBbgrK0WxqjDLPHFrE4xsd79LotnBLEWQjhzBOTCq39+5CeCGWEVjc4mTrnnfqVwlk/rojSvh8q5DkJyquTEuv82Ke0xuQt79gvOtShNxSWQE4MLmaCNRnK5Ogs5DbRWUpzUK+iXvmaBGdlHRM/jiZgiwpKWICmuWnEH8zfZOluS3/VnnGBkBAnvQtjWi0hZfTLg5TqoCEovyH4lXs1EQ6t1FnNKB0VefFYI+W3i1N9FU9eHc8NDeBRBhtdUQ4x3seFuJ94q8V9u0qFiPtNRiFJ4YVAUCQIqgO+Bp6TpAbFSVohOOsd5LxNtAXO+lVPyLHg6/349875SABng31ZBJ2FpHc15UTif1E5CaQknufKBBEVgYq1xyC5GG8QCUH0J4rkpDqv1VnzfSeFiSc1KqTF9CYZ/9uYdCmqT/GE67TKDW0NJCQxqqGH3nvWo7QPTZSK6KR7iIrAJl8Q5RONeXWkIiTVPUM6d3UecXyyUJ2B+r7sCKEQjk+II9lZi8Q8VoTPLzP9rIVf9izs2rVrVRbZtXDaaafxpS996XEf92TBSaSZOk2GCoctShYWVuh2xgDv62EteMdxiGYer0yE58kCKIr+ErZwaDImx6fJxlr0Fws2TE+yZdNmfvjjAxRumY2bZ9AuQwYOVWrmHp3j5z97iNxkKXvt4uIyjx49RqebceZZZ6CxHDx0hEdn59m5exdmQw+dCybPUYREbc6inUIbR7sbcvxoXyOsLEuUVpSlIEHZwyks3rHWlSWuhOUl4Sc/mufII/O020uctmsTUxNdryoow8Rki07HZ8N1zqJDGO/AlQglZWnRuoVWPg+JE1+Q1FnxJi1AqTKoFNUQ5BMzBjU1jDc6EAdrfRI65wSd5WRZyxMSp3EqC2YdKMVntpZIQrJQjiPU1dExKMBk1SKkltskmntVqlpezxYbx7wqqrD+TMZaO3E+iGNt5SawmpyEQPSwO5WG4bT4SiQo/D6q8seJYD0ZOKUJSnQg0pGAxFU8pAlN0sQTf8RQIptV46ZK9Gb18Y47INecbQPWGpDXGtirIk+1feFXA1XKrtiaSrqPD1p8J7XfxsFOlAt5MFQSNcU5nzZZGUS8D4MWhxKHtp7w2bL05MZ4R12cwwbyIgI6mB68I5yko7s0iara8j+2LJ4DV/s4EoD4QFWkgahgxe/jfqkWBfUHNFVJjg+11EPLg8omFTlIxC9lf62ui3+opWpevF66Wh1WxKYiwN7Uoqs2DK1GhCwzaygSwyTF/zu8gkmmy3h64mpKqmKY/jyFETkWNST2YZgwD5maRghI/f3xFJMnQkyeroj3Q0xbEa+pMRlTU1NkeU5ZDKoK1ibDOWGw0ufY0UcY63Zpm8xfUiX0eh2e/ezT6XY6aNHkJkM7xdzcPMv9FbZtnUSwLK2UFAXgfJXxpQXL/oce5cBDs8xs2crSsRWOHZujKPosLS/T7baY2VyglfDzB2Z5dG6eQd/w3OfvpjPmnUV90U2htGVSYXUOiMJhcYX1CeWUot8vWFpcYXxsnJbxpipXWGzfYvuO5UXHo8cGzM05snxAO5+lGJRouuhM0+nltNpgMsfYWBsyX1toUA6wrkgjmXP+FR2QHVENCJlscT6aLUy4QRyoIuGUSuG9NjgPZ3kblWU+ItEpT0xEM3AK6zTK5GBa6GC+U0ojkZDEmmFospDfhEAsshBKHGRfT0hCGHJENAlXC5s4Jun0d1R9E+Go3WvVPoJJtraPuIisFJMqWpGoqBDF7OAHs05wShMUB1U2wxrixK2chJol1YTkWX9gk1Kx0NWmmtXhl3C8FeZjOyc99m8Z+qwiSNWkrcLKXg21aTWzqqhL/Nqv3rxjqPZJn4Ja4KmLDiZy7+eiQ8hqzFBqrfc/scp6e3qg4J4MWpSL06BXXZSrGHuloAz3VVV6UDr/o4n06hKCQ2pkp7reieSE8xUHqkhs4rE1PglTzH8zRBJVra1RtQrN0Mnhtbo/gGFn39q1GzYXDQ8OVZdGV0SVWlLdg34FNSTn1slcOqbvt1K1O0HpirwNUdlhshFhrR1SftYyBa1FWuLk+0TNPE8rhOAxtHdK9aqdRmeaXiv3PmDOIuIdPTOj8AnNfPp0kylwFsFSlH2UFma2bUUKYXmxz8CWdFpdlBY2b52iN57xzDO3cOToMdod7w+igKWFFfY/9Ai5bjPem2T/w4c4+sgSz9ixhVa+wPh4h0znGGPodnscm11GuQxxKixKSq8MKBMq/BYosWTGp/J3pVCUvh/iHJnJcXaJwcoKOvfOs+WKZXlhgJQasQqxUJYEk0gHVIfZuRVEaUxuEO1wylc3dkpw2FQXR2tdJZ7DL8L84tAkP6yYR8ovIkLIgUtLJFAhu7TOgr9JTtbuYJ0PFy4dFCWUTlMqr6KQeeXEm3NalX+R1ugs8z4oyvutmVpFda11SqEQGBLRrFJFnPobpv78DeVnolJOUPWF1NpzCeFbPw4O7zMWWq1+E81KhMSWjYnnN4cwPtZr79RX7GliqQ2q0fbnTRw+50RKhDVklnhiK8W6+ed4kvpaK9b6IJ/8ASLBIoa9uprNYJiaVApKteInbRomkrD6dqHGjaggxQJKmVAOxuBKb4IweQtx1keC2BBNIIK11tf+wYdMxlofIoJY6zPPJhnSBfv1Gv0TUrixC44h9bNVP0+GSFLCxE4kP0J9Uq+Tt3hejfaKha5LlopQM0PSA7qWn9Fa79NnEhdDwfm2ds1V6vLaUTPx8kclxO+boX8fS62QGumL18/Fe0OkUpJC9sn4o1FzZ33fw2RI0t9Rpo73dlO9+PEjrmJjbibrXPDZwisGOhJzv9iw1kJwYm+3WihxlOUA4xT9/hKd3PtqzB2b557v/iPzs8ILXvB8pqYm6PZaKK3IutCddHR6FmEZZwVhmcnpjG47pzuu2LZjms5YztT0BEKPiYk23QlP4md2bmBiwxh5q4Uox/LKMsoIqtTkrS4K7ctiYHzJitI/97b0z3pp8e8HwkoxQHcMxYrlyMFHmX1kianJTRgMWzd16Xa6mKxDp5Px81/Mc+zYAlrD+FTG5LQO1YR9Hig/cWahACc4CWHTCsD6jLlRKSQ40xJTIQTCH9MWGJ/iX0TjRFNYYVD6yEPn/PYWRekIlYiD82tINKl0FhSUkGI+qCEq+piE+jomOfCrRCri9qha+Y7Q7irogRAtMbzASYiLo6FnWKWv/L9hXEGHtAphjIx+L1JFH+ragijt6/FPe086TmmCMhqpAMMDq3/2q4iYJIGlVTlrTE6VSaiS2oYnjbVIhZfNVtcnGZXV15r46vsZIjFx0sFP6MO1tFdPONVO09e1SdOv4qyLknIo/CdVG0yehbwIXjL1JK8kWjzQCm2Cr4lz3vk2nLNoRxUnITLJVOdXE8xDXmHxpLFKz45S1bWMx62pKnpkco1msUh2/Jxtk5d+7G/clz+e74OjRkbTyaqk37jQUlKZaoZVlyTbhJ5XZKNq32qSejwysJaKFrPI1tsXaGogamF15Vz4LGyjK3On70N1fkePUceob9Womng8U0+D40OUNx3EiciWfiIXcQz6K7RbGa3cm2KN0biiTD5g4J8XpaAoBz43iYaiP2B5sc/+Xxxjfg6WlvpMb2qT594RvNMzbM2nMGZAWQqIod3NOO3MZ2AQEEVXtSmcw0lJb7wNxlLKCk4g72rUwHF07hF6GzaTt0nKyKA/8EVMxYevuwJwUA7K4L8mDFYctoSlOcf87AKT45ZW1uLI4RUePbJCbgq6YxnTEx3AcviRZazLWFhYZmWlIG/rkJXa4GueE8YQbzrxz4wLQ1SQUKMXb1IOIyEwICHyL9a5MQYwKVXCyqBkMBAK68cFpTKf7VplOF3VzUEbyHxeE2PyFBJMIhw1J9gYLlxP5Kh8G1Qwr4iqIncqqNo/cRB7PItktcY4o2qfqzRm+PHQt01qz7SfI2rKyRNYmD/ZOKUJCqy+gClc1dUn8+pzIBEWxCdlq9v4KslteCB+rIG5WnkefyL4Zb+P/9YniKSKRJJFlOyq1XrV71pbaudGhVU1aVVPsLn6G1LwhE2h0KpG3lIGVBN37Cc/jd+ncb6Il/OERQdThGgvIIpPoRn2IUjytZEqBBxf9wORZIsfxehECQTFqx7WCzFcfC3JM50p8Sn6tR4mrZVpJe6LoYe0MrmttVpRI39X95vIcPupmbeUWh39VUmuNd+o2j27ql81RUNYWyUZ/c1aOB5JXktZidtrrWuFEhusgq/fQIzY0Ghs0UejaGWZV/yc86TEWl8VGG+iWBkMUOLIwvOulMGGiDmTKyamW+w+Y4beZIuSFZSynvAH85DW4EpfkVernHYrw9qSYuDYv/9RfvrjR8hbwswzptiybQzTNphMkylNq63puhzBm1QWFufJspxMC6rry1ZY59UeEJZD0UMtGQuzCywvCD97YI652SW2bCzZPrOBsV6Xzo4W7ZYg0qeVwfLSEseOLTJW5mhdMrWhRW+sRafn/V2iAoXKUIRoGluG6JOoDMdoNh0M4MmuBipHxXIZft2CE7CiKQpYXilZ6VtWBhbROVmeoU0bpUIG2Cz3af11iPwxPuzYhFIdnqCoymSjjTfzEJ6nGuGvzCt++/rIPfRspjFdpemnMuvUbi2J4/foGOUJSPJrVDHoAJIJSYU2p0PWiFLK0dQQlN8YIhmpJgY/gVVhr/UQztGVrdTcJEKuAvxlHqYbj2+Qryah4Qn1eKvptez4o2YKFWfMqEqooPBI9F+I/3rZM+0tkpLwnS8tHkPrAklTgeyEnroY3qyUZxqQVi5KpDJfOJ/TIcuCX4dzvp5FKAohENQVl/LU+H8lNS0whHQu9Mh5iNe1fh7qjL9SPIZ/Fz9fi6gInpCOTvY6rTRU4mXU1KuUdyAoMWlVMrTqqZ/4+gWojiXxvgrHq/ZZswmv0e6oksRDx84IwUlWx8Fp+PylTtewlnIziniu66Hj9Xuy8UH55ZBAUFIkoDhauScmVgvOltjCVyhWUlVOd7YcMmPasmT22Cwtk9FtdRmb7rHn/DMZ607SHW+hsn4wDymcM8w9Os9gpUCJIc86LK+ULC31QQtKNA/+7Cj7H56jNwYTU122zUx5H61AptudFlluyLMcawc+h0nhWB6sUKwYOuNtdJahtPWh0c6bUF3hmHt0ibKfsTQ/oL/oYDrHWmjlBt2ChYVFVpZL8naPVu7otKGdQ97O6Yy1mJjo0u3ooB4Fcw0hAjGoAH4e9qkSRLy5SUJ6eh1q4Igynmgon48EfIRPUTr6hWNxuWRxqY/DkLW66LwNpg1ZK2V/9ZE5kYjE2jkmqPPRXORVFt+4YEKBIUd5T5D89zFh22h+JQhDtYrjbZpFqhVT7fmLC82IRICIyd10+g21RQ9heBlawMZxrJanaSgR3EnGKU1Q1rKlR4JS2cuHB9cIpWIIZih1H2bztF0kAkPHI85Na06AhP2l+2KkrccjLGt9VldVIEyiUq2+IyGpz1heCh2pYJu+9hVOY+4SZUwyuyRfA1G+kN4I0dKB9aeJKbRFEZSSMLErHRObSkiKFzz+pRpwUZJarMWliTaaJuoreN+uikQq5QcrUyOcRgXHWa18Km+JBKYKO5ZAjnR4eGOl3/r1Sw9t3XFNR5ISo23itQ2EJjaeqHj5lc9ozZz6/uPf9c+TWkblBJwmrPijEb6htIIU5u1vOAntqB8s3as1VWXU3PRY/lNrmhDj9VtHA9l6gwLEejPNoOijtc9oKuIobd9HxpUFdjCg0zJYcbiyoCwKMqOxtqTf76MctFstXKh6nHcMG2em/cIrC6ZYnbOy4FhcsBz4+TIP/OggGsUZp+9kaangoZ8fojPeYtPGKVpZh153gdw42i2N0jY4hAs4nxZf4ZO5GaNomy4LSwN++pNHETnKs8/ZxcR0m6IsKPoDMqWQ0mILRzvXaAsTY4pet83kVJvBYBmhoN3OUNqboXyaesM21abbbaONo9Nr0esZtFIYJxjjS3tYsZTi6xJVJSVI6oAK/iQKP3Yp48OSfU6ZzFdQts6bdFYsi8uWheUSnbXp9iYwrRZOZZgsD74kwVxjfHI2QjI2HSNxCPOMicVLo9NrtWiJydfitoyovfHzoecqCM4++KeKXhy6p4ae2/qcV8vUTXyvk5+fhAXq8CKrtp96kdTaQnA94JQmKPULNjqhx9olMEw0hk5+mOyUCjdHYB8OW4n54XpWBdgee9VYP2bdbBDVmap9UGUaXe27Agy5O3ihYO3tRu9kHdSgYLjxbdaZJw8xxXtohzFV6Gt9Yq1PPmmCc9EfxiSFBe1r5zrnhwVdyx0jYkKqaxm6LiISZNdKgVEhyqg6XwI6mKeQ0HWdFI6YrwZA6eAEZmSoyF1ZWtKFVDG5XWKYRBqmagOIjKgYwyuV+t/Rl4ZqP4EkOCpptr7ySb5RSCKOcSCK5BcdMgPHa19TQuo+V5FUmKwWqhgbQ02JG5JdVj8rdTWq/n2VEG54f/X39e8bjMIhWG/lFO+vVZbeNKnwzp9KLFqL39ZZEJ9OvhTx5Mb5ganT7iDGR1xZcd5vxBUY/ISONmSZYXlxgQd+/AiHfjFPq2WYHFvk4IE5Dh6ZozvRoZWPMT09yVhHo40wPTWOtSuUpcaIQSQDUYiDonAs9gcoYLDiWDg2QBlLudLHlhpX2pBiXmHLEmcd7XYG1tHpKTqdLu0ulIUnG3nuzSh+AaWY1B3avTZGG7QR7/qhLUZlIcrHoYwgvj4oTvmEc0oUQyYWyVCYygFW+9QJpTNYpxgUwmBQsty3LC4VmLzH2OQGTN4OpCTz2cZ1RTh0MNeoVD7DEH1LtA4Ot1FdicnWaguX+EwNEY1IYJROGc0j4sKLuIaL+9LDzy2E6sZDiw2dFl5xkZTImtbJMTu2S0UrWNpv9UFDUJ5kjE60IqFKpVartok3Twy1FBdMJfHGiKtTBVInAKMTR22fFVZf4ONd8yF/g6E9REZevY6308r/pX4zruVoWT/m6pwso/15LF+GUXKojfHnUA8TRWUMmPDeCUhQMLQiJqJLjp1xhaS1H6ABtAPRiQ8p8TxGm+iE66hxilo4cU1epVJoRvsVSUUkGSLB4bf2fT2aJfZtdF+jqsSax0nbrX0ehy8Sq97XjThrqRd1YrHWdV3r+sXfxX9HVb5hh+Jh+MRzDdaC2AJXDrDOkWdZUvm0CtXKQ0ixMSo4mYbU9trgrAXxxTGtLRB8/hR/D5VkmfYpFCRkwra+Vo3SDhjQ6igyozh6dJZDjyywvOJQbfFEpg29bpuFhXmMAY3BlWBtgVIOZzW21PSXSg4eOEYr13Q7HXbt2oDJ8UUMC0GsL2Qo4mvtlNYhSlAGpjeOE3NtmJZPT+DQPuW8BuWEvKXJWtFc4gmbFYfFUpQFWkGe+TpAoirTqA6mDB1Cih2+ArEKRfus+Aicwmr6A2FpxZt08rxHa2wKnbdptXvBd8SbM0ysIhzUEGMM9WywYeXgSUctcs9XXY+O+TopOwxF90H15Ppnv8qlpCqzD9GJ1m+TopLScxq1rXgcgvgRE8AFcpL+Dvdh8ntV1THDIloFZSXuLPrJxPpn6wFPOYIyPC7rVQP50GBMPXEPFYsY1ePCn4morBqvj+fw+FhtrSkFa24vcVm+yh/meKgmvziRpm8SialPlMfz1XgsU9OoP0J9pS0xnE2plJF26LwENST6pcR2+dewU7OvAAriyirTohNfFyjzSoH40CLfJkgOu2k/UuW2T6uZEcLgCUnVXxMe4Hgm1yJo9T6540ze8fu6IlGZD6trUz+fa53/eltHP6tfl1HUKyGPEpZRcjlqWhttw+jx43aNk+zxIEERsWlMskVBlsXh1juXK/FF+6QofFh/vDdFYcMCy4nzLyfkWYYoMDrkORHP1l1pUQidtuLMs7ZzZGKedquHc5qBzTj8yCx5Bu22YXwyp9tS5O0u2gh53kEpS1kUaANFUVIONP2+IC5HSYeyVPR64rPHijBYKRFXUlqfgboYDMizNtZBv7Sgc4rSE5gsy5ibW2F8wtEba3n/CyXB7cpBCAO2Dkrnn2F0jlPgdJ5SAvhFpvgcI/jJ2Bfe80qJi4nVnGZQwtJKycJiAbpF3u2Rt3qYrI1TICY4Lkd/k5h6Ik3SlXmnSuwYfDPSWBGJi6otHFSl5BB9ziSMPzUzOTJkBhpeLKo02CulQqoE0v51IkwQ64mlsQ2S/0hUaVMa+7jI8jvGO1/XUweoSk1pFJTfDEZXqJV5ZViaXmtlKFJFbtSRcpCESYrazVH/d3hi1+kbWc1ejovVhOpXw2pCESeZ6v3xCEj8zfEmuiF5grVVgVX7Vf7h0dGEpRjK7IpImvz97n2uiKB/eZNPsIvHbIsSzFPBLcSTIW/M8vUzaquOqj2VHdj/3BOnWPCv3g9XK5kQ08Urhu+Zod/UVJb6ORy9FqPqRJR861dglAQOnUtWX6/jYZSMPBbpiG1bqxBgvZ+rSCasESLZYBRSOrBCnmtv9FNCWRb+3nU+cseGLKvKueQkbl343Plqw2U5CD5aPjliJOkS/LcQCQTG0WoJmzZ3mRzvglMUhZC3YHJSMbswz/yxQ2zeMEVrsovS7ZBczIUxT1OWQlk6ilIoSs3KiuLg/lmclMzM9OhNaExL0x3rkGUxt4sF7fOJrPQdy8vCoYPz9PuWDRt6bNiQMT7ZJctKhAJLtNaqZOItLVirWZhf4dFjfcbHO0xPj6F0O6gEnqzpQBwcnjQ4DM5prCisKIoSVgaOpeUB6DbtbhdRGTpvYfI2qZyAiSHBURXRQXmNviRVMrWohEQy4J1J8apHIum1Z0FphhOhkf72tcOCv4iuitdGdTQlTMO/T+HM8fexbVS+cOnZJqo60Z+tUlMUYbyKM1T8LKou6bdxPlw/vmWnJEGJA+XiwsIIQYmVNF1tZV8VYooDcrK1wVBtHlGkFbFGalVx15bT43Hrn9VNHMOD+Ki9Pq3R40FGDjC81eOdDtaa7Fa3ZfV2o5NjlO8lqCFm1CeF4QmxnuxulBACIXV/9V2q41ObFGNmzfoE6WXsaqXuQgRRYD1AjVzJsCmn3ncbfZLcGufadyYNDk5iKDTBVrR6n8f1BlLD0S+rSEsU4UZIz1pkby3VZLQdx2vDWp+Nbj96repqz1r+JaPOtEtLS4/Zjqc1QpSsOMHaAkIJCSXKm1NEwJbgvJGiLH21cVf60GNrffp4if4qIQpPAFeWfgITjViffd660vuI2EXa3Q5GaZYWV9i0ydDtjjG9AGDJTIlzBdooVAZWClxhKUINHed8FIl1cODgIof2z9Nqa6amezw6v4DJHbt2b4aOJ15lWSKisWWJiMFaxSNH51lZKun1fI2ddlcDDtElIsLcQp9WntPt9nDOL/AGg5KDh/rMzvZptbso3QLyGMWLUiFKMIQAi1MUpaMoQcSrJovLA5RpkbUmwOTorAMh74hoE8wXPq9JVCs8cagnWgvZoGM0DHhSUiPlMdIxVimuL3SFYfN5RSz8+OKr03tS4EJOqpi9NS5gqqg8M2wBSGvk8P2oj0r0iYn6tB4hSnHRHZUTieVJSE62ni+tn8XHKUlQHnnkEQAu+p2XnOSWNGjQYH5+nqmpqZPdjHUDAWxZUqz0idW0vdRvUUrQYrFFCeJ8ET3xpKQM4cIS1cbwypRChcWViOBKhxLlfbHEIKUC5yeY7njLl6ygJMehW0Jh+5jlAVPT47S6OUeOzjIxMUYn8wUvy9KyvGRxLviNmAyTOfK2rwasjEIZxXinRd6KSqR4lzLrJzVnvT+LVsKGqZyim9Ht5F7xLC2ixZumRNFqazKTIX7nKK1pddps3DTO1IYJpjeM0+p2yLLM+62Ech1KQYnGlRrroCi9amKdxooBk4POMXnb71tnXnWt+ZuIiplcTVIhoqOroNPnqJoJBpV+r3yZe6J5JGZiZYgERFNRlfPEX/+aGSXeKUp5wqRjmHClyqfFAPEQKrAjndqowqIKVe075TGJinJQfOLSO0ZlokIGGV052Sqlmlo8vy42btwIwIMPPvi0HBjn5ubYtWsXDz30EJOTkye7OScUTd/XT99FhPn5eXbs2HGym7LusFIIg4El08FXS4HgsFKCeKfYqKoQyIezIT9KWXo/LQuD5T6dVubD6Evvu4LD15ax+PTsJT7tPJC1YyVgh2mDUNKZyFDZGJ12B6WFVrsVItcEZx2DwrG4UPLwL+YonWP79nHGxnps2z6J1jmtPGNsok2nm9FqmWBuwvtlqCzlY9QarB2gdImgyHKNNt4ptChKMjJM1qbTNsTQXKU1ojUtDZu35oDG5DmmlYNS2MjTkGDK0QysjzKyzpt7RGVgcvI8HyI9nnQE/4+UJC0eu5a4rE4motOqrswrEBX6SFBIakuEIIkkJNNJ/fd1R9SkrGSe/CSiUx0n/SoGDgTVxCss9baH30SdvfZZJDYVIcLvW1QiWXVTUaxivJ7Mt6ckQYnMdmpqal0M1CcLk5OTT9v+N31fH31/Oi4QfjkUs4stZhegbQZkxpEZjQk+ULYo8SzDeoKCoygGiA0mS+v9SzSKTGVeJSmEYsUiKIz2E3kxKBmsFBw98iittqI7lqGMonSh8rjSqAxyfNI2jc8oOzbWAaDfH+AclAMF5MzPDVhaHjA92WN8TDM13fUqiNFkOWS5QptoRvUF+pCY7whQ0Btv4XAUAxibzMhaitIZjOuC0ohrY0Vz5MgsU1M9xsZb/oxpfLqAYIopg7+auCpLbGGFwop3isUX8AOfmr56meDQatBZ9PHw5M1H6+ShYGp1rWJdHV/ss2a2UbVw4eR7VovcWYPARB+RmtdqRSJSMrXgg5IcXisFJkXViE5+Iip8nlJqBrJSRT2qRDwiUUrpEuoqS+hvIi2pzZUKs95wShKUBg0aNFjPGJs8E9WyHDz8ANglxjthsscE37bSO3/aEGZchpT34si08eac0mGUdwQt+gN+/vPDTE9PMT6eg3UM+gUP//wRfv7QITpdzRlnbmdssoMjo3RlDEildBYd/dMJflbWBT8wrxS025pduzaxvFzQytssL5VkuaLVBm2sz5qqgt8SIWNAyByNMj6yzgltbcjbLe/Ya3zBSq0zFFlQL3yl5G6vi8l9Ab7oG6HF+4tYNKVTIJlXiCQU8hNFKcHkon01Yl+Kw2eQ9WQlKh9+ktaGlGbCEwufqj66WaTsqyGE2Js+KpXDBIdaa63nYKaWmTz6l9TMMcQCfUItdLmunMSrEv1I9JCD/5BvzJD/SuUjUhEM34yKRAUCUydVcbuagzvxrdK1PlRKynpKwNgQlAYNGjT4DaM7+UzGN3axbgM/+cd7+c4P/5FuS9iyZZwzn/kMWkbArqDFp7fHel8NrQRMqNMTipj7opCGsYkpUMYX7lPe8RRlKW2f2TnLYGDpWAVOIzbzlWpcCJ0P2VYFH31jra/fIxKKhCrH5FROt9ti/8OzzC/02by1y6bNbdotHZJXqrQPoIqaM7py6jcqUrAYZBQm4TSzkqGZ3jQeVvregdWXylAIIZeJaJx4cuZqlYklpqxWGrTxoQzBr4To5KoUSpmUdyY5oQYVoorWqRGCOCnXTCwxFFipkGEbkuohkAruxSKAFbmAeohyIgLRZCOBTKR2xRNaHV/rWl4VgvMtQS3RlSoT4w2rbLDhHITooKpGl2aY/DBETKDKxzWU9+sk45QkKO12m/e973202+2T3ZSTgqdz/5u+Pz37fqph4MaQfBuTmzdwBtvYsOF5HDv6Cx74yfd48Bc/oJNZNk12OX3nJrqtHtpFR1efG8UByvjKwYKg84zuWI9DBw4gZQnWMTU5zYYNk8SouzzPKUuLdYJWWfCx9c6pYvyKuhRL6XzZC1/HxssqSgtZC5TOGBtvY52l1cq9yqEsWmVJNUmWAAWx1KhD4TTE/CAiVW0aPxv6VAIxiE6FsF4Xwoat8+HG/m+NFY1Tvq4OmOBPEtUNH8oraZIOkTghe6qf58PxQxRmmtip+Wuk7ermmdGJ22+qg4NtUjEg1eaJmVzrKkiVT6UK441EABUSs6XjViJHVDCSckIVdpz2U/NLUUqlSJy4/xjtFc1QyVSkh/tViTGKmBcFvb4UFCVNjGCDBg2eJpibm3vS/WaUUtx8043snNlOrsBgyaRgZekYD//iAY4cfJCf/OO9FEuP0lIDzn7u6WyYyNGygmaAkhJlnE9ZoIKXqBIGK30ePfwoSwuL9JdX2LJ5C528g7Uu5E9xiHZeVZCQsdSVGA2uDGH7CIUrAO2VFqdDOv4ScY6yUBQDx6BfYnJNq6PwdXBaoVaPT+Hv1RvvHeurBAenWZ2D8qYZ7xOBn2g1gHdyFfFkwEkw34g36ZROIxgcXj1BB4JSD//FVPlBtBryn6iSpDHkpKoZUTMq+06NEFSOu6KkRhZqETlGB5LlFYlo/kkEheB/SiRntQgfVREIhUqRRX77yFCiGhMbRyIpdVOM7x+JcPnorqj4qGTGS86zNZJSF0ci8UEkmaNEhIOHDvEX/+/VT3r6gNnZ2V/qS3dKKigNGjRosJ6htEZl0XThsMqQjU1z+rPPZ9cZz2H3M5/P4uwRfvHTH7L/2FG+94MHWDh2mM0be/yT855HbhyuWEFrS54pcCWZgampTeSmS9EtyPKOpwoKRJtAGJz31bAOrb1PhwMkw+czyjJyH1KELX1EkLclGZ90zTh0y5B1jDfrGHBiEGfQphXqfJU4ZxFCXhwtKOcje5ISoTQEFQelw6pe4VQWCIjP/mrFh/eKMogJhXck1rmJGV0r9YOQ2t4TDtKEKzXHU5/IsRbuqzQmVB1W1AgNlUnEp7AP0TRxIlc6BPUEsmN8G3RwBNG13CnR1yRcfVSdCFERlLSvmOmZSISqhG8p2ecIKYlRT/U8S7EdMX9RvaBiStJZb0e9LXEfrgqdFlldJPdkoiEoDRo0eNJx7bXXcu211/LTn/4UgOc///m8973v5eUvfzkAKysrvO1tb+Ozn/0s/X6fSy65hP/6X/8r27ZtS/t48MEHufLKK/na177G+Pg4l19+Oddcc00thfz6ghPvRJKFvBKl8x4cujXG5mc8k807drF5+2nMP3qYo4d+zs9+8kNwy/z4QMGDP/0ZrazPPznvLNqZYJT2hfSUwbS1LxgIWFv68NtS4ZwnGdrk+OKgitKGPCsiiCi002SZRiuHycU76roSKTU4T0iUA60tuBLRPhRZGe8b4gLbEZXV+hmmVBPqDIW6OFrnWKtAGayAQ2Ml86HBKO9PgvLkJBYADOYPQYd6OQTTip/AvcnCJD+KShGoR8YQ1JAw6StVKSjUlINgAknp7FU0IVV+JMlXI6ooiTDUMtHG76N/TlBRKvWDEVNP6Fcwlw3X/Kl8deJ2qYfxvSLkOqn8Sfz3tRMSbEaxjSkhY2hLPE9aVbXIYjHE9VTCYn0+2Q0aNHhKYefOnXzwgx/krLPOQkT49Kc/zate9Sq++93v8vznP5+3vvWt/K//9b/43Oc+x9TUFFdddRWvec1r+N//+38DvjDhpZdeyszMDN/85jfZv38/r3/968nznA984AMnuXerIdYSi92Henr4vBc+M6zWBiUZvY0zjE9vZfvuZ7P72edTrCywOH+U9tRuDu//CT87VHBk/4NsnB7nGdu3YFCI80qDQ3CqxJZCoRTHZmdZWVmh35/H6BZFYVleWWFhaYmVfoFSmrL07Wu3FaefsYmdOzbTyls46YMWtPh8K4gDW2DF4kLBTuuCs2UtWiaaNpyKPhVeibClYIPDq1K59yfRGYLxJp7kTFpN+ETHVVHJAdWbhyry4n0/dVAvwj5iXg9IPihameTYKjW/jmj2SVHASiclJDKe5HiqagRgJPFaykA7FJVTZYquk4XKmTY66fp2ajWccbZSPOLxDJWqIelcxYKo1XGqf2PqeqVUcN0ZDpMeMhvV2h0/qtcIWg9ofFAaNGhwUrBx40Y+/OEP84d/+Ids2bKF6667jj/8wz8E4Ac/+AHPe97zuP322/nt3/5tbrzxRv7gD/6Ahx9+OKkqn/jEJ3jHO97B4cOHabVaj+uYJ8oH5Ws33ciOHduxzvqCb/iJNWgMfhp0gjaAC5W7CQUGbR9brDA/+whLc4+yOHcUg2X+2CPsf+gB2nnO0UdnEYT5+UdZWVnBWYUbWFzZx5YlRmcsLi2zuDRgcblgUHp1pCjAFopuB7ZuHmfj9ARjPcXGDR2eecYuWllGf2WAs94kZKXwpMqBk+AjIt58o3WO0S1vwlGxOF7lkwLe2dU743pzjRCKfqQsYtH04dPNxzDmqIgkI0Xw10j+HCEqRStFTAkfFYykBkR/FEWV9j2qNkIgMsG8UnOgHfLhiCE2SqUaXqnNNVUmIk2myd+FmjlpdN+qRizSD6vfqBGiEA8Vzt2wchL3r9LO1Cg5ifsdLVIYo8XD5wcOHuRf7HvzuvBBWT9U6Qng4x//OKeffjqdTocLL7yQb33rWye7Sb82brvtNl75yleyY8cOlFL83d/93dD3IsJ73/tetm/fTrfb5aKLLuKHP/zh0DZHjx7lta99LZOTk0xPT/PGN76RhYWFE9iLXw3XXHMNL3zhC5mYmGDr1q28+tWv5v777x/aZmVlhX379rFp0ybGx8e57LLLOHjw4NA2Dz74IJdeeim9Xo+tW7fy9re/nTIuGdcprr32Ws4999yUfG3v3r3ceOON6funYr+ttXz2s59lcXGRvXv3cuedd1IUBRdddFHa5rnPfS67d+/m9ttvB+D222/nnHPOGTL5XHLJJczNzXHvvfce91j9fp+5ubmh14mAF+srX4JYfwUJERxhhS6igmOowUqG1W1K3UV1NjCx5XS2nXEuZ53/z9j9vL3sePaLOPO83+VZZ/8znn3u77Lngos577dfztkv+D3OfP6L2X7GuWzc8Ry27Hw2G7c/k2c8cw/Pet75PO/cF3DOBRdyzj+5kN+68Ld50T99Mb/1wv+L0888n83bn8PEhjPoTu7CmWmWXReXTSHZFNLagG5vIutsoTOxg970Tnobd9HbuJPu9DNoT+0gn5xBj8+ge9vQ3fDqbSMb24bpbSYf34wZ20A2tgHTmyLrTtLqjtPqTdDuTdAem6TdC591x2l3x2l3xul0x+l0Juh0xqtXe4xOd4x2t0er0/Wvdo9Wu0Pe6pC1OrTaXdrtnn+ft8la4ZXl6CxHZ75wYP07nbfROg/J3XJM1iLLwjZ5q/q9Megsw2Q52mQpwVt8aeNVG+8LYoIyU72qz3S1XY2oVPvIktkpvUx1nHpOFRNVnPA+kaghVSb6uQyrI1USOF0RuLWI0UnEKWfi+du//VuuvvpqPvGJT3DhhRfykY98hEsuuYT777+frVu3nuzm/cpYXFzkvPPO48///M95zWtes+r7D33oQ3zsYx/j05/+NGeccQbvec97uOSSS7jvvvvodHxmyNe+9rXs37+fm2++maIoeMMb3sAVV1zBddddd6K784Rw6623sm/fPl74whdSliV/+Zd/ycUXX8x9993H2NgYwFPOBBDxdDJ93HPPPezdu5eVlRXGx8e5/vrr2bNnD3fddRetVovp6emh7bdt28aBAwcAOHDgwBA5id/H746Ha665hr/6q7/6zXbkccARE2MZIBSfVK7mvCiVpJ+WwsHHQOfeuTb4YlgRyDOmtvbYuGUXWuAZTgjhOZTlgMFKweLCAv2VJe9T4mzIjOqTsiGC4KN9ND6jrQgYBWJLYIBSjrIs/MQWqiYbE4tfhoyuSgfHX0LeEhXqAokvshmUDl80L4YWuxChQljdi08iF9WDkDBFou8FlcIQkRSUGKUiUVkJk2nIIRJr46Q8JTqaTGIgkVcYBEEr7X05lA6fBRUh7atSGyLdrExEKlQ2VlXCF0IdnGjeSWYdQqRMiKyKGlEtnDiWXlKhsaN9r+BNN1I5u6RzikQflZD/RceQ6Hif+e/qTsJQmaXi7mOG2vWAU87Ec+GFF/LCF76Q//Jf/gvgK6zu2rWLN7/5zbzzne88ya37zUApxfXXX8+rX/1qwA9oO3bs4G1vexv/6l/9K8DLY9u2beNTn/oUf/zHf8z3v/999uzZw7e//W1e8IIXAPDlL3+ZV7ziFfz85z8/peqlHD58mK1bt3Lrrbfykpe8hNnZ2RNmAlgPOBmmjxOBwWDAgw8+yOzsLJ///Of5m7/5G2699Vbuuusu3vCGN9Dv94e2f9GLXsTv/M7v8O///b/niiuu4Gc/+xk33XRT+n5paYmxsTG+9KUvJWfbUfT7/aH9xnpGTyaUUtxy05d4xo4dlbnfxekXwA1Vkq7yY8RNJUzuIVNb2FbEoWqVtl36zuciESfhNw5x1k+p4qsfe18Yh7WFD0u1PizZhbT4iA2mnHBcJ8E8pb0jbiQ54scj56TKtxEIj3NuRDUCCQ668bykyJV4soQ0gSfTzsj8WBE4FdLUV7lI4sbRDJRMJiF6KJ3WtA+G2qOjw+oadWjqPifxt1IjYIpoYqr6kvYRo3giIUhfRoK6hpmnsg/ViEp1+EhKovqWSFXtXCUfmJgVt9b26hxWZqZRKKU4eOgwb/x/rmxMPE8Ug8GAO++8c0gK1lpz0UUXJSn4qYgHHniAAwcODPV7amqKCy+8cEgCn56eTuQE4KKLLkJrzR133HHC2/zrYHZ2FqiKQj6ZJoD1hBNp+jgZaLVanHnmmVxwwQVcc801nHfeeXz0ox9lZmaGwWDAsWPHhrY/ePAgMzMzAMzMzKwybcX3cZu10G63k/nsxNYwSjOjf6eij4AEXw1FVCWcJB5CNX1roErfHlO7i8kRk+N0hugMZ3LEtBCdIzoD0wbTxpk2ots43Ya8gwovnffQre7wq91FtXqoPL7GIO+hWz3Iuuj2OKYzRtYZx7THMK0xsnZlksk7XbJOj1a3R97ukbe75K0OebtD3u7SCq+s1SFvdcNn1bZZu0ve6dLq9mh1u+F3HbK2N9vEV900E0062Yi5xuQtTDLjtMiy8N7kZFkrvfK8TZ63g7kmD6adPJl44m9MlmGyDJ1laJP7Ss/hFRUQbUz4LA+1ekzKkaK0QhuNNlkw8fjttM6ICefitR4yB6WU/dUrOiXHVPbKaF+CoP6vrkcWkXxLkhknmYmGFZphxWr9aBanlInnyJEjWGvXlHp/8IMfnKRWPfmIEvZa/a5L4KMmrizL2Lhx42NK4OsNzjne8pa38OIXv5izzz4b8H17skwA6wEnw/SxHuCco9/vc8EFF5DnObfccguXXXYZAPfffz8PPvgge/fuBWDv3r389V//NYcOHUr3+c0338zk5CR79uw5aX04HnyK8ejTuVbUhBpaTafIkWgBCCYMqXYI6KA0VCQnciCFVKnnk6nDFx0Up70qopz/XAyinQ8rdkHNcV51US7sP6goJKUn5N4ISok/lF/fOue8ClPve1RXgmlJolcq0ck1FLZzFV2rTBZVLo5VCkJNcYomsroJo66sqJEdRHOLjrpDnMSDIrMqg+yoghH2J+G6iYinDrWkbEr08EQfzEyRLVTqCUMYTsKW7DZrfL9a6VkTihHSEe61EbPisIIj6fZbLzilCEqDpz727dvH9773Pb7xjW+c7KacMDznOc/hrrvuSqaPyy+/nFtvvfVkN+s3ine96128/OUvZ/fu3czPz3Pdddfx9a9/nZtuuompqSne+MY3cvXVV7Nx40YmJyd585vfzN69e/nt3/5tAC6++GL27NnD6173Oj70oQ9x4MAB3v3ud7Nv3751mvq/mhiiKSatVMPncVKMeSjqkJqDo9TUGCcuqPthEqubOlRFdPwcHrPEWv+Z1p6kCJ6giEsEJZp6dPIZCaRFBHE2kRWMJyk+uVd0eRBEVxOvBNNO1SdJfh9Sa3IiP9FPIkSURNOUqEri924elWnEfxPOT42oxP+nCZhaFaDok1GxunS+dPrN8LVYRQOif4bCm9sSAQiuz6pqL8Tvh9U0hJRQbfRg8f7wJqfRu6IyA4qqt612XO+cU/mZ6NXkI6p5o4QsmeB+Gfk5gTilCMrmzZsxxqwp9T6WzHuqI/bt4MGDbN++PX1+8OBBzj///LTNoUOHhn5XliVHjx49Zc7NVVddxQ033MBtt93Gzp070+d1E0BdTRg1AYxGcz0eE8B6QDR9AFxwwQV8+9vf5qMf/Sh/9Ed/9JTp96FDh3j961/P/v37mZqa4txzz+Wmm27i937v9wD4T//pP6G15rLLLhtK1BZhjOGGG27gyiuvZO/evYyNjXH55Zfz/ve//2R16Zcgrpj9u8QjqCaM4W3jBD40rQ8ttavqtNXk7NIepGIH4XcSJ/sYQqsUorwfCwJKfDr96Nsi1vqfO+v3ox3iBGccBsB5guGcRawLVXgUWrvqsITqPM4rOioRAg8XHGcr5836+RFPnlady/Ctq1QpX4vHH384jBYkKE11ISKGJMvIXlMgc11pqZ/vmokOCE66vgP1sGN/IYYjZ5ITLRVxSLV3VHXNh1ERpWHFJaow+H6v4USbSNhwx0f2vlpZofZZzEi7XrB+WvI40Gq1uOCCC7jlllvSZ845brnlliQFPxVxxhlnMDMzM9Tvubk57rjjjiEJ/NixY9x5551pm69+9as457jwwgtPeJufCESEq666iuuvv56vfvWrnHHGGUPf100AEWuZAO65554hkraeTQCPhbVMHxGnar//23/7b/z0pz+l3+9z6NAhvvKVryRyAtDpdPj4xz/O0aNHWVxc5Atf+MIqgnXaaafxpS99iaWlJQ4fPsx/+A//Yd1mkfWGjYhAKpQOnw+/fsmOqhcxaiX8m9Kph0kpJPeSGHETpl/RypMUrZHwQpv0UiZD6yz5X+is5UNdTQtM8NEwLZTJ/bZZjs7b1bZZ/Dtum6OyVvDtyFAmQ+nMH0vnqHAsnX7fQhvv96HzVuUPEvxJdPQNyb2PiU7H8scweYus9l30JdEmhgz7sGBlsvSvCn4lSmeomGI/VEhWJhYeNLUihKEPytcC8vWAor9ISKqmdZWNNtboib4fqiKJq8KL4ysmuoNERFMbYmK8mo9JPXS4nogu7meUxIxum26x5IQdVKxGQfnVcfXVV3P55Zfzghe8gBe96EV85CMfYXFxkTe84Q0nu2m/FhYWFvjRj36U3j/wwAPcddddbNy4kd27d/OWt7yFf/fv/h1nnXVWCjPesWNHivR53vOex+///u/zpje9iU984hMURcFVV13FH//xH6/7CJ59+/Zx3XXX8cUvfpGJiYnkOzE1NUW3232KmgA8nn6mj6cHIqdwRMm+5msiMrQyTmGeI1ylnjTMvx+FItbDkeCb4n1bXI3X6LCejnQpVvsN//M2IFCgJaxXbfBvURqxpTfhxDBgERBfo6beIK9ueLOQCr4ZvonBVATJT2XUIdObFWIPXWWCSL00REUh+bEwHI3jz4FL3w0rD/XrIqlOj1CZpuq/0TqYxmrf1Yvw1dsdt49tE+fQpkqEFid9Y3T4DUPtGiIKlfUo7G+NK65X92k0Gduof8loNM5oFFHVo7XusZOLU46g/NEf/RGHDx/mve99LwcOHOD888/ny1/+8ipHwVMN3/nOd/id3/md9P7qq68G4PLLL+dTn/oU//pf/2sWFxe54oorOHbsGP/0n/5TvvzlL6ccKACf+cxnuOqqq3jZy16W5PKPfexjJ7wvTxTXXnstAC996UuHPv/kJz/Jn/3ZnwFPRROAx9PP9PF0QXScjGYY8Rlj06yriKG1dX6y2heFZLZJvhT1oyj/jXeS9dsZnXwhcdHEJMGZVVSaULU4UKbmPBkn3FCXRsCoLPmjqMyEUGLvf5HIFqCUeLKjFToeNLTdBVOFMjr4m4yYtFT0Q/Hnre5TsQqxmF80IwUC4Odyk05tnOSHUryzegKuqgcTQqCD0Ud7E049j4iu+ahEMhSdoEW8SUsbU7O0jZqPos2LIeeamAuFISKhhhsbrqcnFYwUDBwhLRJMiRK1tZEcKLVdDv022SPXD0055fKgNGjQoMGvihOV6v7mm/4+KZd+4vOOp9VctPawe7zVbto31RxXV2IqohDUhTCBOQSlNTbkPYFQOE8YcogU6yNxkpMmVWSOj9KRaiIPn8VX+rRuKqBa2bvgbOvbX/ONkUrZUX7WX/N8DPtxVFlP434fyySRzBYjn0fT2lq/dSGJna45mA4TjeE+1s939N9IZhNiYb/oqBrUqlDAr/JxqbZZq031nDkph84IiRk6T5C+H84jQ/JLWUtlEoEDBw5y+Rv/xXHv0d8UHk8elFNOQWnQoEGDdY8odUj1gfePfOxBfy1JfhR11WX1ZDYs1Nd9FZwIOlb4RYYKySnjfVNUfRWt/SpcG40obwpK+TWcAqtSdtTYVXEO5bwao0KficcI5yFF+QghHBpqnrOVJcdVqo5CBdVm2HxRPwdJnKk8aVGiqjYnVcPrW8czA3nyUKkrkUj4rYPRLuwz9ilWBU5kKEThKKn2r2oEpSIb8TrFxg9f16SxJZOcSopI8lcZIae1vdQUu7o6p4ZI16roncYHpUGDBg2euth/4AAx90c994WKPh9xxhyS8UdiOkbeB2uO/3t4wzDBB8VEkcJUrfgU6whY57xzratW9onOxEkqmjmC8lGt2GO7qzZVzpW+Dem9kxohCWQk9VjVlJZa92NfY4SKSArP9n0P5pVa5eL69zE3yTDZiATG/x2jb6qj1k1soXWpv6v9M2JfYsRUyn07RCojExpipyF8muAntFrtiL8dVmuCOSneKkqhQhrYVflNWIOsqnjeqj6IqpkNVcxKW70HOHLkEdYLGhNPgwYNnjY4ESYeWNt00KDBqYITQQsaE0+DBg0anAQ0674GDX59nFJ5UBo0aNCgQYMGTw80BKVBgwYNGjRosO7QEJQGDRo0aNCgwbpDQ1AaNGjQoEGDBusODUFp0KBBgwYNGqw7NASlQYMGDRo0aLDu0BCUBg0aNGjQoMG6Q0NQGjRo0KBBgwbrDg1BadCgQYMGDRqsOzQEpUGDBg0aNGiw7tAQlAYNGjRo0KDBukNDUBo0aNCgQYMG6w4NQWnQoEGDBg0arDs0BKVBgwZPOq699lrOPfdcJicnmZycZO/evdx4443p+5e+9KUopYZef/EXfzG0jwcffJBLL72UXq/H1q1befvb305Zlie6Kw0aNDhByE52Axo0aPDUx86dO/ngBz/IWWedhYjw6U9/mle96lV897vf5fnPfz4Ab3rTm3j/+9+fftPr9dLf1louvfRSZmZm+OY3v8n+/ft5/etfT57nfOADHzjh/WnQoMGTDyUicrIb0aBBg6cfNm7cyIc//GHe+MY38tKXvpTzzz+fj3zkI2tue+ONN/IHf/AHPPzww2zbtg2AT3ziE7zjHe/g8OHDtFqtx3XMubk5pqamflNdaNCgwa+I2dlZJicnH3ObxsTToEGDEwprLZ/97GdZXFxk79696fPPfOYzbN68mbPPPpt3vetdLC0tpe9uv/12zjnnnEROAC655BLm5ua49957j3usfr/P3Nzc0KtBgwanBhoTT4MGDU4I7rnnHvbu3cvKygrj4+Ncf/317NmzB4A//dM/5bTTTmPHjh3cfffdvOMd7+D+++/nC1/4AgAHDhwYIidAen/gwIHjHvOaa67hr/7qr56kHjVo0ODJRENQGjRocELwnOc8h7vuuovZ2Vk+//nPc/nll3PrrbeyZ88errjiirTdOeecw/bt23nZy17Gj3/8Y571rGf9ysd817vexdVXX53ez83NsWvXrl+rHw0aNDgxaEw8DRo0OCFotVqceeaZXHDBBVxzzTWcd955fPSjH11z2wsvvBCAH/3oRwDMzMxw8ODBoW3i+5mZmeMes91up8ih+GrQoMGpgYagNGjQ4KTAOUe/31/zu7vuuguA7du3A7B3717uueceDh06lLa5+eabmZycTGaiBg0aPLXQmHgaNGjwpONd73oXL3/5y9m9ezfz8/Ncd911fP3rX+emm27ixz/+Mddddx2veMUr2LRpE3fffTdvfetbeclLXsK5554LwMUXX8yePXt43etex4c+9CEOHDjAu9/9bvbt20e73T7JvWvQoMGTgYagNGjQ4EnHoUOHeP3rX8/+/fuZmpri3HPP5aabbuL3fu/3eOihh/jKV77CRz7yERYXF9m1axeXXXYZ7373u9PvjTHccMMNXHnllezdu5exsTEuv/zyobwpjwdNVoUGDdYHHs+z2ORBadCgwdMGP/nJT34tp9sGDRr8ZvDQQw+xc+fOx9ymUVAaNGjwtMHGjRsBnzb/6ZawLUYwPfTQQ08rZ+Gna79hffZdRJifn2fHjh2/dNuGoDRo0OBpA619XMDU1NS6GbBPNJ6u0UxP137D+uv7410cNFE8DRo0aNCgQYN1h4agNGjQoEGDBg3WHRqC0qBBg6cN2u0273vf+56WoclP174/XfsNp37fmyieBg0aNGjQoMG6Q6OgNGjQoEGDBg3WHRqC0qBBgwYNGjRYd2gISoMGDRo0aNBg3aEhKA0aNGjQoEGDdYeGoDRo0KBBgwYN1h0agtKgQYOnBT7+8Y9z+umn0+l0uPDCC/nWt751spv0a+O2227jla98JTt27EApxd/93d8NfS8ivPe972X79u10u10uuugifvjDHw5tc/ToUV772tcyOTnJ9PQ0b3zjG1lYWDiBvXjiuOaaa3jhC1/IxMQEW7du5dWvfjX333//0DYrKyvs27ePTZs2MT4+zmWXXcbBgweHtnnwwQe59NJL6fV6bN26lbe//e2UZXkiu/KEce2113Luueem7LB79+7lxhtvTN8/lfrdEJQGDRo85fG3f/u3XH311bzvfe/j//yf/8N5553HJZdcwqFDh052034tLC4uct555/Hxj398ze8/9KEP8bGPfYxPfOIT3HHHHYyNjXHJJZewsrKStnnta1/Lvffey80338wNN9zAbbfdxhVXXHGiuvAr4dZbb2Xfvn38wz/8AzfffDNFUXDxxRezuLiYtnnrW9/K//yf/5PPfe5z3HrrrTz88MO85jWvSd9ba7n00ksZDAZ885vf5NOf/jSf+tSneO9733syuvS4sXPnTj74wQ9y55138p3vfIff/d3f5VWvehX33nsv8BTrtzRo0KDBUxwvetGLZN++fem9tVZ27Ngh11xzzUls1W8WgFx//fXpvXNOZmZm5MMf/nD67NixY9Jut+V//I//ISIi9913nwDy7W9/O21z4403ilJKfvGLX5ywtv+6OHTokABy6623iojvZ57n8rnPfS5t8/3vf18Auf3220VE5Etf+pJoreXAgQNpm2uvvVYmJyel3++f2A78mtiwYYP8zd/8zVOu342C0qBBg6c0BoMBd955JxdddFH6TGvNRRddxO23334SW/bk4oEHHuDAgQND/Z6amuLCCy9M/b799tuZnp7mBS94QdrmoosuQmvNHXfcccLb/KtidnYWqKpV33nnnRRFMdT35z73uezevXuo7+eccw7btm1L21xyySXMzc0lNWK9w1rLZz/7WRYXF9m7d+9Trt9NNeMGDRo8pXHkyBGstUMDMsC2bdv4wQ9+cJJa9eTjwIEDAGv2O3534MABtm7dOvR9lmVs3LgxbbPe4ZzjLW95Cy9+8Ys5++yzAd+vVqvF9PT00LajfV/r3MTv1jPuuece9u7dy8rKCuPj41x//fXs2bOHu+666ynV74agNGjQoEGDUxb79u3je9/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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "from PIL import Image\n", "import matplotlib.pyplot as plt\n", "import mindspore.dataset.vision as vision\n", "\n", "img_ori = Image.open(\"banana.jpg\").convert(\"RGB\")\n", "print(\"Image.type: {}, Image.shape: {}\".format(type(img_ori), img_ori.size))\n", "\n", "# Define a Resize op and execute it immediately\n", "op1 = vision.Resize(size=(320))\n", "img = op1(img_ori)\n", "print(\"Image.type: {}, Image.shape: {}\".format(type(img), img.size))\n", "\n", "# Define a CenterCrop op and execute it immediately\n", "op2 = vision.CenterCrop((280, 280))\n", "img = op2(img)\n", "print(\"Image.type: {}, Image.shape: {}\".format(type(img), img.size))\n", "\n", "# Define a Pad op and execute it immediately\n", "op3 = vision.Pad(40)\n", "img = op3(img)\n", "print(\"Image.type: {}, Image.shape: {}\".format(type(img), img.size))\n", "\n", "# Show the result\n", "plt.subplot(1, 2, 1)\n", "plt.imshow(img_ori)\n", "plt.title(\"original image\")\n", "plt.subplot(1, 2, 2)\n", "plt.imshow(img)\n", "plt.title(\"transformed image\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### text\n", "\n", "此示例将使用`text`模块中Transforms,对给定文本进行变换。\n", "\n", "Text Transforms的Eager模式支持`numpy.array`类型数据的作为入参。" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tokenize result: ['Welcome' 'to' 'Beijing' '!']\n", "ToNumber result: [123456], type: \n" ] } ], "source": [ "import mindspore.dataset.text.transforms as text\n", "import mindspore as ms\n", "\n", "# Define a WhitespaceTokenizer op and execute it immediately\n", "txt = \"Welcome to Beijing !\"\n", "txt = text.WhitespaceTokenizer()(txt)\n", "print(\"Tokenize result: {}\".format(txt))\n", "\n", "# Define a ToNumber op and execute it immediately\n", "txt = [\"123456\"]\n", "to_number = text.ToNumber(ms.int32)\n", "txt = to_number(txt)\n", "print(\"ToNumber result: {}, type: {}\".format(txt, type(txt[0])))\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### transforms\n", "\n", "此示例将使用`transforms`模块中通用Transform,对给定数据进行变换。\n", "\n", "通用Transform的Eager模式支持`numpy.array`类型的数据作为入参。" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fill result: [0 0 0 0 0]\n", "OneHot result: [0 0 1 0 0]\n" ] } ], "source": [ "import numpy as np\n", "import mindspore.dataset.transforms as trans\n", "\n", "# Define a Fill op and execute it immediately\n", "data = np.array([1, 2, 3, 4, 5])\n", "fill = trans.Fill(0)\n", "data = fill(data)\n", "print(\"Fill result: \", data)\n", "\n", "# Define a OneHot op and execute it immediately\n", "label = np.array(2)\n", "onehot = trans.OneHot(num_classes=5)\n", "label = onehot(label)\n", "print(\"OneHot result: \", label)" ] } ], "metadata": { "kernelspec": { "display_name": "MindSpore", "language": "python", "name": "mindspore" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.5" }, "vscode": { "interpreter": { "hash": "8c9da313289c39257cb28b126d2dadd33153d4da4d524f730c81a4aaccbd2ca7" } } }, "nbformat": 4, "nbformat_minor": 4 }