From 3ef9e188d472d327ea540fd165920fa6c6d1119c Mon Sep 17 00:00:00 2001 From: Shayekh Bin Islam Date: Sat, 7 Dec 2024 22:59:28 +0600 Subject: [PATCH 01/10] metadata dir --- metadata-extraction/.gitkeep | 1 + 1 file changed, 1 insertion(+) create mode 100644 metadata-extraction/.gitkeep diff --git a/metadata-extraction/.gitkeep b/metadata-extraction/.gitkeep new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/metadata-extraction/.gitkeep @@ -0,0 +1 @@ + From 6ba2add083a316aae6bd100ca6e01683d942adbb Mon Sep 17 00:00:00 2001 From: Shayekh Bin Islam Date: Sat, 7 Dec 2024 23:00:18 +0600 Subject: [PATCH 02/10] Demo notebook for qwen2-VL inference of metadata --- metadata-extraction/metadata.ipynb | 246 +++++++++++++++++++++++++++++ 1 file changed, 246 insertions(+) create mode 100644 metadata-extraction/metadata.ipynb diff --git a/metadata-extraction/metadata.ipynb b/metadata-extraction/metadata.ipynb new file mode 100644 index 0000000..8e0b45c --- /dev/null +++ b/metadata-extraction/metadata.ipynb @@ -0,0 +1,246 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 43, + "id": "ef51c8e0-1c2a-4bd9-86a5-ef179ace4db0", + "metadata": {}, + "outputs": [], + "source": [ + "from openai import OpenAI\n", + "\n", + "client = OpenAI(\n", + " base_url=\"http://localhost:8000/v1\",\n", + " # base_url=\"http://0.tcp.ap.ngrok.io:17717/v1\",\n", + " api_key=\"token-abc123\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0641448a-fbe0-4f6b-8a28-d817340d3784", + "metadata": {}, + "outputs": [], + "source": [ + "image_url = \"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"Qwen2-VL-7B-Instruct\",\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\"type\": \"text\", \"text\": \"What’s in this image?\"},\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": image_url}},\n", + " ],\n", + " }\n", + " ],\n", + " max_tokens=300,\n", + ")\n", + "\n", + "print(response.choices[0].message.content);" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "934a24e5-6c14-4002-a79e-1f623811a1c8", + "metadata": {}, + "outputs": [], + "source": [ + "import base64\n", + "\n", + "# Function to encode the image\n", + "def encode_image(image_path):\n", + " with open(image_path, \"rb\") as image_file:\n", + " return base64.b64encode(image_file.read()).decode('utf-8')\n", + "\n", + "# base64_image\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.image as mpimg" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "c78aed07-40d1-4b92-9c51-c7e96102b2a4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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YYubINay3kQNcO/XimGtpEXA2x9C6UZNAozYgrVtXW7+cc7iuC9d1FRDTAViolsPiM3TdcZzw+DVMi9sUaJNVN4Jrxy5hjNJhTsQ4QUn/9jNGnfq61YGpAv5Q7Xe08RPWhPDxDrqEIgBK7d9UX6h0r4MUHawoYc+nGpFgQt0R/t1FtFvsUU82Qc4rVSnHZymttGp7sEW2oHNp7Z5WtfHkAhqviUuB7y5bfqqAig0+dAkuahPZJUqiXKRZ8QmnThj8P7j+G4vrN4EJswgRbfzo/gfriGJJPkMXjnfkQBilbfHAmKM2s0EeqY3EYLnpcW6/kzHzKC3XrovPQQDB6L1hoEa+L6yztPnl2wObR1qgg+3U7yMApGmmAEBgO5/DhEmvRNDNza0TRK0PmmbBXz4+A9VZKd0ZADuWZAjjadljg8mbZdGeoe/1uCxE0G3AaBJ2HmDE1Bu937YWgPYV19XmsMyJFogX+0Vf+CZj8+8L8qbLjIPePwUqQgCdzeDtd/lAS7aH+qTd4zAW8MOgPSDASlAoM3Ca1YeFjILJPeFZJ0YsumqvozAQDWiBv2SAt/lsJtoD09y4SFMUGLgQgcb/TOBCozAL+mvMsVwQxl7SQZMOXCz6bRdzvGhew++ztSEe52BcrAnGuUELbLAaoCv6x5B+RjRjYft1mdMaWf+GsGYwXzNqDOlfNaASxrD034AZI+BpBijqvfo7IzUqcv2ZhMpnanZ79IBxFt3X3hfSHu0OOtvvOo4vvalFEi5VqPFxGOD591Bb5/M5GGOIxVx6QOd7oYXAQ1R/GXEzhM8LEQ6DGTDf4c54TwQg0kcovK2S8WlsJ2wa9baawALGhPiSs/8yxpj5Xo2H+tovSczVNzoRNNh94Df3PMBxAM8T60fzk/DHhRtj7dPkxcA+DNxzz5M/EeMVGGO6z3xPcN58Ykbf+UBaq15nLMycV1uLQlpC/zuTxPogxRrnC0CK2VVmLC86gm33UTi1B9vpryP/O5vB6EzRkPItWnGRMLXonmCJNknKPyIBHmBGJvU8D/PZDN7cgyc1aK7jSpoSU/cwxmQARKgfrRPRLQ0liiatWDiPND5yQZAgBZi0dZkSRY94SF0MTAv05vMHsY4YmGcCrah+wp5bBuiHvhbtmcWdCb+81Ig4ZvPCyPFlyk8NULGJy0WqsmXuiXqO3mdeh7wefCacMJv1RTFrgTO4tmhMr3EGpvw5dWLkSKBCjSMJhtqjv5cWEmMMcBw4FkGkOgzTh83EtI2mM2C6FnAoJMktOFzGO41xshgHEbiwPtHv4LgSe+H6R3B1nT4DOvMAoKRMob6GH0wvwNgZSEsVqNNvvLwWPQKiyyYjpPYsArwmKOa+GGS+2rjP3jf2GJoaDKY4CUPIKZoQOVcHIsHvwgunMYC9FDXfjxCit2hfM32+QwGZDgN1YG23jcYnRL6UgM5MB+Brjmg/+PRKb7O55o29rjEamgMFbMK3pVHX4sLVmtcBhv68sRa0NketPwBGxGwfjPs0yugHC3c8jmp72PoNu5+Zi8euRFzWviewsEzxaeoSN4fc5DpOqECn1qU1DqHg2QDogld4Gs/Q6Yb2kLjd7g9Vs7AfkHOmfbCf4QCYKXz4/VtUeXj5VAMVvZiMdzkb3NOClaXaA19qBsKRdhRjtdanWHtqogFD2mHMUA9SPa7rKmlNgBQt90+AGfkSNgDhea+3dYmx9Mm7+M8wDyBaSmXUh5C9ZzYhhBlwM64E3ReZ2yTIUy7ukPVOz+OYzykkPjeYiP5uOi1lMjIu//f/o7mMWoWMIXT8wwi5Pq+iTk+91gfSQUCp9y/sPTozJ6nXgweHCyLLtAidIhaPZD5qIG2NRdR+8H9o1EywEg3q9aJrUhaVsPUYSQ4i147lJ6GvyyUq8mlQ+N00BqQppf2ifl2wnpemcbQuNY0I+YXRuiYQ4TiOBGGL6yVhxZt76lQUNVyvj4FZ2uTLcTJ9LS27RhaVwJgtRTdoPy28JVBc1zH3PwvuObttS7TEj/wLzf/nGcbEbETwjeKyBNYW2nkePPanBqgA5oJdBqxEgYgwJhA4FhpaLIYbouUhQmNsTFWpLVWF2LhV1dL5lVu7iPne1pxL01dIi6lNtmZFHxMbBJAkpf626qPffs4isy7/PRzQkyrSXCnNge47448HSZd626KkvqiNbrbb2kDM/NMfa594e5xj7s0FUJl76m7GhCOp53kKJDLGIfK3+aJNUPOkvZrReqP+Lge2g0IiMclFmgWdOUcwSUvKDfuONCXUbEoNoDNvcBL0uLHEmdUO1XWm1af6Z/WTQVvXNKb639y4N4B89O+g1aX9MsbI0Gqa46DerbWTOY4KF2+2R4BXLiMRk2Oz/y4SLvy1YowP9XdJphMlHAXbZYJXHVgokGQIGDTvNg3xn1ch5jnAXdegeXE3ZjxLph8HACca5qNrH5xpA2FPq11CRyiKaervolvVu+Gvmwg+oVdjLz2qTVueYo3Iha40Z7T2GPNvCnlPpHAhAY83n6vcYoDQ2jDGEJNjym2io9cd6NHFGM1vgsUTAAVo6R6xJpYTJPTyUwVUqESBlTBVpZ3lcdGisIvmtmcxOemgyYS2w2FMnsIxmahiAAz+hjCILgymry90EAGAvnEcgxgogOQFgY4gxLQXmHY1GrUrohMyPubvoE8OES9FnDhTpzPs2AmA1i7FAMQftiZFB0CXAynqqv++ENyi5gFi03meJiFqQIU89emUhuMw2d8g4NHbI9YJ9ZlJRq+1nZv3031mn+lWE9iK+dd7Ew7Co8YmTJtiqHAdBu4xgJyxmbamjOGnNeGPF/0KAC0LrDBm9jfYSH2MtLXGrXnVfjPrWQMkc23JhbwzIADpN6u6mPIV0hk+0xrjad8DQMyNaV0Qu9oOLqv2rr5YTSzvA99Fezjiug1SyDdNr0/9tsQfG8wSSKEfFw7AAVcCFtdxweALgLYvoafvYUOYscCC9tv+WdTvcI1rcGwUzZPEwN4LYfspULUSSPTNLBrJHBGClnJhRXObxUUf67knfIGUVkWOuRKUQ/rNYY6J4ZcHbYlHgSTqHedGH3QTKAnDdqboZcqnGqjoA0WMy05z7qviTQZOzwc0Fjz8ZIn+PpUYEJrPBi1EZp4iCdvogboVKAlKObTYFFMDNAJvUnjyQzHeKQO9QRJvct7yJDAyMqvKuvX++gDDgTjp7AMpXdNgzUyg/wHth+MAniBcAjQ5gc2hMyB6XxTB0bOXLgNS/M/hTpuqj2HPM3MexY9jrDWjC4r52BtbGyeKVaPGCxqBiya0Bijg9pxBSb30jMEMrEiqtlbR3hP29wpEGDg3ZOxhzh0HnZBhsGPwhYEjv6NWCeM1UHBF/UuCAwuhvEqo0L8gwo3guAMWWAmsGf9+x3EUPep2uxiPx+rYcj6fRzweV/cKzadsUQTICHuH2jJ24MGnKArwctKKempfcG4gQklrxCg5jr8W6D7SFBFY5nOxx2Ix4UTrENiSkv9cgn7HFdmH1W/JyJcCXgq7WWhT+87/aK0HiwHra5ZblV00P6C7w2i8vjqlUMc4Aw/xdYqs2wJJAfCsvVMJuNp9hsAT8v1TF12qg+irx02avUjwX1Q+1UAFMJk7SQI6UyQVJBBE/XYSsQvfQ+9imjzhQ03tbhtZm1mLBWPWFdfWBIcAKf+6BBixmCHdRBUlsTIHfDYD4Du5etyT1VmAzBRa5Hs9AK7qahjIM99rMkiydyuwwrnSqKjAYIoWBkVJ+z32hlqkTQnbKP5mpQ1qTSEucvT115MAJ1KS1q4xRvCES4LAA3Uwydz1dhMp4xpAC7yeAEKoYBhus9dBVBT4sOsxx0oHDQToOeBErz8FnLhn9J/ClJvvvQCkKEYK6w/jjdBBoQFSaLyYVqf8To2DyY8DY3ExIee0RRWz8zwP3W4X3W4XiUQCsVgMqVQKMW0Pe1wAFYe5EX2yXqEBa05Mny/TvojCoI2DeIGu9SGVvb+ufbph7j1h1iI3N9d1ZKowca/riACSXElFAhRNp1NwzpXGJcZj4I4/5lHB80iaMEGHBlYiu0vrwq5OEWFTONRAtqpDAwwBemR8kECEm8tLgRU59mo9h9A2u422JsfYx9p9xLfChODQYrVBD8GPiDoYLQj4u0/d9xxACvBTAFSoRKktF2kyoja1fa9O1PUNEfa02ujaHSRoKmcjmkAD8fsSiK5B8TUgVCWH7hirkhNK4EPaAWgblUOYoHTNko3I9fEgTYzjOEr6DduMVs+t8bPqA0x19yJJmYYDXJmt5vO5os6KrWnt0jVmkS0MbDQ/FxLnMjpmWJFzJ76XQfRkl0mbIgAXgRR7WOwNaq6PCH2s/FdfT5CaF4A5CBAkEcxNTywZxkjCnc3DPkePqc5AGDwvYk/oQMoAAH77osAI9Z2pB8PbYF4JXvO0vvrQZKGwvZCgXkbqdBjDbDbDaDTC/fv3cXh4CNd1EY/Hcfv2bZTLZZRKJcTjcQValGBxIU3XdAI6annKQkDOdmqlfaxXz5jwJfEAs80GDfD3huMwlbjSiFYqhRWHu3DYTMyLNVdml8MHhS1xj/kAW3rMghq3pygSSPkAL5oiABF9v6Doe5u7rv/ZkyfMNEHZpz7BN4XtNPFFONgxNIuKpWljJsf6mTQ1+CkCKoAvvdiOYPTbJjIGALEATBhiVdcClI4bf4cyApLolKqNW3uKKwBjaCs8PcaGrEtH8QoQaBIq9KOzcq1I8T0grYYUdY8e0+BCoOIXf8zNd5FmhQCQEnIDEgMC/Z/NZqJOC5hQvWGS+CKVow4oo9aBOSiQRDe4SQmo6HZ7nyhwDTOGEDwm6aXO1DUgpe1+4xn6HQZSojQw+vjo4DRqrUdKsf7NEsA5wXdagENc00gk9Rs6sfMXMLFhHaxEsQtTU6N0WCH3haw167chASI49AuLTsDl2p/P55hMJjg5OcG9e/fAGEM8Hke5XAbnHKlUCozJiLwEDAA1t3rxgZYm9QMGM4hayxdKs8xnXDQ3YSDF75/0q0CQ3zPqAPS15kvX9JlDRM+G4wXWoKpB03CAsYv7EVFsc8cyYIUxpq1D8/qiYgIn0XYFtxkLXVeLBMewftjP6fe6jkPn/cAdP7ie8bw1lmpnXtC3MM22Xqe8yXhmkbJg2fKpByo2YbV9FBb5LqjgaPKUBtWn1w1oi0je44QktwuaaWxCvIjs2doI31SiP8IAOK4bcD71GRRAIdKVBgKA67gyNDkxeW2xhOx7f/EDpEYNoG9mXvEXo8b8tHt0M4nSqEgJDiGL19aQKYdEw7RialSWLVEbxbxuaiREJ2Bs+sBvk5r5BEqji/73UCCTxkwwaLmmpabHMR4wgbcPtPz22yadMABn93fR2IdrU8KAkN9Pc2VwxfT8/mvwgDizNg6MKvS7vVTh8Pefeiyk/2H9lX9EVRxoRwDUhgJhcZ17HsajEfr9PrrdLjzPQ6VSQafTAQAUCgWsrq4imUjCScRDJV29RIKtCzRBC+uhPtIcOEJzSHuLTDLL1B26zuQc84hTeslU0ljHtkASJnw8DcPTtQJh6yFMwCQTkaHxCXl34AqX/zDai1ByRwAgI2RNWW1e5jrRXYPfcdobxsPq5QZIuaR2LrTNTKOTEYL7ZcunGqiEITX/1IVP0HWgchGTCl2AIRNIxMSW2rmaGJ+hinuYXLDcWgfBjWcyGw7SPFB/bEmJTCPklDafz5UGApwrpz3HcZUakCQ+lT7T2sAcsg8hC1rbtUR/ZPvlyDg+s9EZBrgf6Eo9qM8JD2oPouKx6GO2SJPC9MHTxuyidRDgTRpwYy4LZybMHyUmxwcedZ3eyf17mQ/sFLOGBIZMoBZmmKNsiYTqC0o4NpDTxyiKSIdpoMyxMsmrWSfAGDfWgy1pmdKXDlL8cVDj4Q9oMMNrCHbS26u0DFYb7f6adejS/uL3hUm/dn9tNfl8Psd0MkG308V0OsX5+Tkcx8Ha2hocx0GpVBLCBI9HZ7Q16A+CmpUFJQxMhDF9Bn9P2QcRzAq191v1ap/8m02kqr1PvCsWc6x9a9J1/fmwvgiaFbo0IgFolFYxrE9RYqY9bqpeAik2fWc+bSFyZ6+hZ2XqRFMFOTLdCfRifKb1wEzKxqP+1sbOHxvxl+KNCPffeRqt2KcaqOgl7FQPYC32kLL0otDvs8ZZl0Dps7DganGEIby7L6qfFjyHNHNw3UbKpH+E+H4+95QNvNFoYDDoo35ex3gywWAwgMPE/blcDsVCEaVSCaVSCclkEvFEAjHXheNQWHx/P3OrXVwFr5IBoCR3YdRgukLMNqyb1qYQUlvQYZXq4dp4cED2W6iKmZ5pVZ2WCR9W5VRpgRvRJL1NPtCCGmG/vWpconZxRGGAyuCqTg8w37nTBHnwD29IhYkPiM37/O74phdbq0dMRg+uZRf9mel0Cs/zMB6P1W8ASCTicBwXqVQCjuMgHo+bDAQAeERYfQVmfYKm6zwC/XkKGk3sgHPuhwGw+ruYGfmMUNAPP0Fn1PsWggNOjtBCSEhnMnjhxReRSqcx6A/geR5u3XoZ5XIZ6xsbSKVSyGQyYo3bIM9v4YUlUiUPGOuCvqffOnjl6poD142BMSHgiPslPJLj7Dt7i1OBPqCJHmf63jf/yG8cSess8KDHU6E5pr914dF4awDQaeNh0SHoa9hoagQdu3SRLQipTNEbC8QBQWAdpT1ZxPQFHRHpNRhjQYd2nahEASTZfFNE8f821o0+78z8/LQmOyqfaqASRnyUo6N1n14uVIMuuFf3NQm7zzT9+Oo2xoTnt5KZFeIGqMpQFSRjcp2blJy0J+PxGIPBAPV6He12G4dPnmA0GqHb7cJxhcmnVCphdWUFnuchHo/LdzMgDsRi/oY0u+RLQ2qRck9d9+mRvTj1R3lgYdv9Y9b1QP9h9l3PjOuPUdgbwuui25TWQmu7/tuXClQlJvk1uW7IS30iQDZuVaPV/gBYoe9os1vvMJq9gJou0iLqjItMh5PJBLPZDMPhENPpFIPBAACQSiWl6TCLWCwWqqFkOuqCzQ+YGj81DhqDCOu/1VjrQtAUYDDikLWzWGKm/RoROdlois8oI9kxYwq0EbBbXV0FYwzTyRQAsL+/j0KhgHyhoMbU1+ZpzATcWD+k7VSNiChR0nMUwzDqhdRsOY7RR8Mcyz3MNZ8o3Xwe0MAoAc3eNH5YgEhhI2ztGr95YO3Jqn3yqjF0aoqtEbWvs8B1fwwuLAp4WCCFWXWHtkSv5mKkZO9vW0tC93CpvtEtAU9tRtMYRug+YP59zG7TU5ZPNVD5sReJ0EMlGUFVxC2UMI4xfcWLI4nM0gjo+xsi+qnQKIjcPcPhCLPZDN1eD/3+AIdPnuC8fo7333sP5+fnuHv3LsbjMYbDIVzXRSweQ6WygrW1Nbxw8yZu3riJ1WoV5XIZmXQayWTSODLpui4SyaTvA8FlOH6Yfi8AwEgbo0tuCoxp2gytfx4XJ3mo7+SjYhciyippGR3fpABJ+rGXy5ZFAONp6lpQHJeBQ0QpFaYcJ7DRSZoRxMLc+hQISjlHiwc1hho069g/utRMmhMBSAaYTqfo9/uYTKbodtoYjkZ4/PgAvV4fx8fH4JyjUCggl8vi+vXryOVyWF9fRyqVUrFAUqmURptMMuwDW4pIKUC662qanoC0q/8O2RhW0R/VAUwUENSf03/7zxNDMSVOX9sAEDNXGgVtjas9zQE3FgNzHOzt7WFjY0O0CwyZbCZw2ofabYyjDqpl0xgsXyQLROvzrheK6ULCnM3kmFTnOXDgcQ+z6UxpbOkk5Ww2x2QyxmA4RLvTkXjTQTqVEpqhbBbpVArZTBbJZFL6tmhzKMePqfUpY7Uo5bMYNwqd4GlRTBkYHFcEjuNSoxPKKS0aajNldduCY/WXLgGgZO3lAI27mABFMfjAGlnmeRYSmkB95dMPHyxbw8rMe8HFelECVYhAYNdP1TgXtDus/FQBlWVR4WXQY5g0vuhetYjos9xM5lFLU2ryK9BfI6VdqXnxZG6Z4XCE8XiMer2BbreLx0+e4LRWw92793B2doY7d+5iNptiMpnIo5AxdLs9DIdDJBMJpJIpTGczjMdjZLNZpJJJZDIZJBIJ5AsFJCVoUTZOIsp2GzUhxgPXInqGSUCaPkGBDs2XQgyepUWRG0oGZHBoXMM0KotK1PRdQDj4RXWHCHDB2mhEGOCQ9KgRAyadC42+h6icuSak6Zd5sBvkoyW+D0rVnudhMplgOp2i0+lgOByi3W5jNBqh3WphMBjg/v376HQ6ePz4MTzPQ6lUQqFQgOM4KBaLYIwhm80CANLptNIIuLq5RTIc+Ute8gOCkXmBacTT7gxpJX1kGT4nfj8XIVBTmg8DKaIGCQhIItakQ6Uel0KIuN9vl60F5Fwex3Uc5HI5Vb9N3JcqUfdqCyPM3LNImxyqbZNf0zoZjydot1sSoEwUcOn2uqg3GgpsZjIZZDNZFApF5HJZ1c9kMgnGCBiZ7Q7tETF4STMNbTKNmewyo3tg0lNdUFKAXX1n/kE0Wj1zSR4axpj9+q2xR+AGo56n1Tws7deireGA5lB/PkI7FXiHBV4Way0j3rVk+akCKj/SQguRNhwX3v2KpJK0yD2RyRIiR4xpw2VClBBiCThIDS8ZjWTms/kc/V4H/X4f73/wIer1Ot5991102h0cnxwr089sOoPrOshkiigWC0gmk8hk0ojHE0gmk+j1+/jkzid4+523MRqNFJFZ31hHsVjEq6+8hrW1Kq5fv458Po90Oi08/2VYd1dqN3SwJYiBB480R8xBLCYJk8MMwud5wqdmNvNj3JCE54SY7AR/Z+BgSqMQLgVZTEzna4t4V+icPu9its1mtwEbdMQmVv3XNCMAx3yuMx4yxwhtmFxWYg1JcDqdTnFwcIBGvY5333sPp6c1PH78GP2+ALOz6QzdXheTyQSdbhfc8xCLxRBPJPDWW28hnU6jUqlgbW0Nr776Kra2tvDaa68hm82ikM8DzHfAdFxHxcFhjgsGLuM5QM6pn6ROtN0fB3HqjfqyuPg+Ol7QSgQf0PlaCP/64kLo2wcDuiCiBlj/LCu2dUNqjrT1a4MKUYXv+8OA4Ak/qT7yQpiTrjnQT9np1+gED73HX0/AbDZXvkm9Xhd3797F6ekZ3n77++h2ezg/P8dsNsNkMsV0NsVoPJZDwJBOZ5BOp7G5sYHV1SpefeUV7O7uYGd7B8VSUQo/1BehVeVyPQBQJwEdjQ6CifxZdB0he0XNvTUOxm9zRo0TRaESwE94eRpGr5cwTQd9jqxb3wP02fp+mVF82pZ/qoGKzzKf9mm9LJawL9Kk0G+DETEf3atqlODIQmdNSL3+RptMp5hOp2h3Ouh0Onjy5AlqtRo+/vhjdDtdnNfPMZ3OMJ1OEHNjSKfTKBTyWF9fRzqdRi6X02zGAvTUGw3Uz88xnU4x9+ZotVsol8soFkrwPA8rKyvCbBSLgYPDhYsw1Gx7oHDOwVlQ7WzYtuUPfe+4rsiHpBNtbfxomEIRuSGFc5An6iWiUWuFxINIFqP6YgofES/ikR8MhhYAKtrtz0KOdGJNJ8JGoxHGoxHq5+c4OTnBgwf3cXR0hEePHqHX62E2mxpzNdRU/o7joN1qIZFIoFAooNVqIZvNgTGGvb09AEAqlZLMkCRoN6BNYUwHuhqeVOtLHwudkZvDF/Ad07Q19FkbDfjzt+T4yX+Y0q6YX+oR64OSJvPXZgigCNsboer8iLWltyZMEg+YdCwJOghSBPAhk2C/30e73cHJSQ1HR0f45M5ddNptnJ2dKfPP3JMnC2U9qVQKyWQSg8EAnU4X5XIJmUwa5VIZ6XRa0MEYFACzNcpivE0aYPQ+YixC989FhUCP0tSY8/EsQEA3yV3UtovecynTzoL3GPf4lQctZou0HhqtvezohO6PS5ZPNVB51mJs+Au+1wsj1aTmXAoGJUGSLXg2m6k6KBEXMQF9EeuRWimZVH8wxHg8xuGTQ3S6Hdy5cwf1RgPf++530ag3cOfuHYzHE0ynEySTSVSrVVSrVbzyyqvY3NjArVu3UCgWsLqyoiSIjgQ73/r2t/Hee+/h/v37OK3VUKudIpFIoNPpYnNzE6PRABsbG9ja3kImnUG+IHwR0uk0KNKkXkh6o0Rj1C9wOhVgJhGcz+c+A6Nj5Mz0VxHPS4LGTEbmT4S9ASIm7KISvScXXrvUKxZJK9AYTqhmhfmns0RrwDUfH19DQBor8TOdTjCZTKXKfoqT42M0m0385Xe+g0ePHuGDD97H+fk5ut0e5vM5isUCUqkU9vZ2kUgklJr/8PAQw+EIjUYTnAOnp2eo15uYTmc4PT0DYwzV6hr29naRSqWRkf4JyWRS+mG4Stsj2mr2TbTdZE1GviQF3lmACei/7Si59jsuW0hDE3pi6oIFoYC4FQxvEWhRUj5MABMGPPQfv0km2InKe0bXZrMZPI8rTdvZ+Tn6/T4ODg5QbzTwzttv4/TsDB988IHSrLmui3QmI9bXbIpYLIZYLI6JPHo9HA5xcHAAz5vj/Owcg+EQ21tbKFdWkE6nkc/nxJpwXQ2vB4GW7ZAbFtNnGUZv+PJYY6eXZwUoYe9etjzvdy9bfpTvfNY+fqqBCpkenlddgK8Bia7Vt4rSZ7HjSIqCyrTJvXBiphNXj8vw+NLcM5WmkW63i8FggOPaCVrNFg4eP0aj0UDt9BTtdgv9wQDz+QwMDG7MRaFQwMrqKvb29rC1tYlr16+Ja5WKkHIZQ7PZQKPZRKVSQS6Xheu6mM/nGPT7GA6HOD09BcBxdHQkYtG4DrLZLDzuKWk5FosZydSEckj2x2F+bgiNQIYMAEBM2bIh2yMdUInrY6/qN7VTQWVGSCwQ85elJQlrMo/87rJlKelP8e1w4myaELkK8jedTqVvgTgNNhwOMRqNMJmMcXh0hEa9jsPDQxwdHaHRaKLb7WI6nYH8CbLZHNbW1pBOpzGfzzEcDtHt9uA4rgxWNsdkMpXmxgYymSyePDnEZDKF67rIZrPI5wvIZDLIZIQ5IJVKIR6PKydOweN1Xxwt7UPQmyBsUEIlVwIy9lj7Co6oE276G0gICa5fBhg+DGFScxgxXsb/IOw524Rx0f1hjDxM6iYNG2lQer0+RqMRTk9P0el08OjgAI1GA4dHR2g2m+h2e0jE4wqAZrNZ9XwsHkc8Hhe5jDgXjraDAU7PzpBMplBdq4IxhpnnIZfNwXEYUsmUPPLuwHXDTXs2ENXB1iKmZwO34BoJL2EaY72OqDEOK8tqd+w1c9G7l6n3slqcqP48C7CwgXnAFPcUprZPNVD50RcCMwCYbpPzwY0doAxSUpzN5gDmftA1QvaSOAsHxxkajTp6vT4++OADnJ2d4/tvfx+NRgMnJycYj0YYDofgnGNtrSoYQyaL1eoqPve5z2F/fx9vvvkmCoUCqqtVmQBMaEBc14Ebc5FKp3Hz5g0MBn3MZjOk0yk0m00JVGpoNhtoNhvIZDNYX1tHPp/HG2+8gUqlgpdffhm5XA6rq6tKumKMqXP6Ig6EQcnVn34sDwbmzFVofNd1lcZHDqs/phzw4GnII9ymozvDXX42F3xvMKKnAyn65tSlYxuA6ad6TFAmNW0yGzJ95ziuZBYzTKdT6VfQR6vVRKPewOnpKY6OjnB8fIR2u41er4dGoyF+NxsYDAaYz+fIZnMolUrIZDK4ffs2qtUqvvSlLyGfz4MB6HQ6+Iu//EucnZ3h/fffx3A4RL/fh+d5qNfr6PV6ePL4MTLZDIqFIoqlEiqVCqrVNVSrVezv72FzcxNra2soqKO45h6g/un+T7rWTqwt0jQ8zRxEgU+tPgmWOeeYz4QmwpvPDEZn+FEtIPDmO0ywYGcaD2NOdF2sCz8rvF70+DhhYIRzrgQLqmMwEKe8RiNxcrDVamEwHOL+/ftoNlv44IMP0Gw28cmdO+j3+2g2m2CMIR5PoLJSwWc/+1msra3hxo0b/hF16ad3cPAIjx4d4O7dOzg4OMDdu3fx4MED3H9wH+VSGfvX9lEul/Hyyy+jXCqjWl1FOpVCpVJGXIIdfayi4v7ojHihMIRoAKCPk17fIpC5LNNeBpQuasezvvuy5Xm9W69vmfovWz7VQCVcCtdZWThje6qipFtLFF9QfHW2z6zIoYwmdO55mM3m6PcHGI1GqJ2eod0SGpTT01McHx2j3elgPBqDc45CsYiY66rjjQQc9vb2sL29jdXqKrLpDDKZtNJWEFhJJBJIp9Mol8vY2NhAo9kAB0cikVBp6D3PQ7PVRLfXxXg8QS6bRaFQQLfbRT6fR7FYRCKRkI66GaWtURs+BDQYEonD4MKFJ7mEGT9C1xHokvUiKXu5ErCJh5h2Qoy2hr/MMq3wNQP6NVONH/4MvTJoFol+F1fmmXa7jVarhZOTGs7PznB8fKyASqfTRX/QR6/bFUxqPoPjOMjn80gmk1hbW0Mul8P+/j5WV1exvb2NfD4PQIR3Pzk5QSaTQb/flz4IHYzHY3S7Xcznc3S6QuXf7XSVL1W/P0C/31dgNh4XQeMy6TTiiUQgCJ3PdGivBM0i+tjaJhF6NsgozPpsE5N5lyjk0G5nD46ag2VL2L0XSb42Q6b9rH9Hf0cxBDK39qXmtNVqYTQaoV6vYzAY4OGDh2i2mjg4OECr3RZCkTQHJRIJlEpZFIslrK+vY2NjA7u7u3Bd14hZNZ8LJ9tGo64EH3rHcDiE4zrodDpIJpJol9sYj0fIZbNwXHG0OZfLGU6+9hgt6p8O7sJMZYuKPv7PyrQX+YwsAqSL7n1awLAsYFpU76I6FtUdpVF5lsL486jlR1w6nQ6KxSKa7RYKhULkfcvAFPseOwZI8B6fMHh0MsHysBeqVSGZqadkdUSgyal0MBhgNBrj408+Qe3kBG99//s4Pj7GJ598InKBcCCRSOCVV26jUqng9iu3kM/nsba2hkQigUwmjXQ6jdXVVaRSKRSKBZHbR0aVVFIFgNl8jvlcmJV6vR7Ozs/Rabfx8ccfo1ar4e7du1LleyjMQaMRwIFCIY9sNovbt25jtbqKL37hi1hdXcVLL72EdDqNojy6akjJXGcmjgJNnENJrjZR0TeNRxtZi68QMN/QwDJ5QkI329mrWnvUUN/rNzIEQFZYMdZLKAHSGa7vnKo0SFokWTrtAjgh9USZBIT/wXg8QafTwdHRET54/308fPgQ7773Hhr1Omq1GkbjEUajsawHUnKNYW93DysrFbz62mtS67GPfD6P1VUh5ZbKZXVEfTaboVFvYDIZKzDbbrdxfn6Ojz7+GCcnJ/joo4/Q63bRaDbVHGfSYl3euHED2zs7eP2117G/v4fr129gZWVFAV7VH8+T8XXmAAeYTFRHP64bA+emRiIIVPxZDf/bN5n5wMdiVp6H4WAIz5tjPhMalXgiIeILJRL+8fhLmACWkf71+0g7SUBU16jQ+rGZuq0d0AENmZHff/991Go1vPXWWzg7O0OtVsNgMECz2cJ4Mkan28NsOsN4MkY8HsdKZQXlShmvvPIKdnd38aU331RCkRuLySCAohwdHuLo+AgfffQRHj54iMePH6N+fo5ms4nBYKDmLZPJIJlMYm9vD+VyGX/jb/x1rK+t4dVXXhEnxyQtob7omiSltY0YZ7rnMkDFLs8i/UdpzqLAV9Q7LwJkYWWZZ8IAz2XBV9T1KLNOmNms2+2iXC6j3W4v5N96+VRrVESJhiPLLLmgLB/N48LeLDlyYEIkPdQq8/0IODimE/80T7/fV34Djx8/Rq1WQ6vVwnA4RKlYQjabxfr6OtbW1mREyzyq1VXE4wll/8/lcsoc4zBKWKcxfvgEMJ3xY1/kcjmMRiNkMhlMp1PkcjmMJ2O0YjFMpL8Dxdl4ciii3m5tbmEymWBlZQX5fB6pVEr4rsjgVi5jPtMPWagMfop4/ToQsuC57ssg+mQwJ/1ZBUb4gnwpEdcv+t5aFBdvcPGQDlKIifvf09/GQlnQKIqnI2JcUAyURqOBo6MjHB0d4fDwEO1WS4AGz4PHuXBsTSSQL+SRyaSxvbONtbU1XNvfR3VtDdvb24pJUAA3YhaxWAylcgnz2Rz5fB6TyQTFYhHZbBbjyQSJREJoc9JpeJxjNBqpWD/T6RSnp2fgACrlCmKxGAqFogRMCXAO33yoTDD0TzhhjzKtCCKsa170e4MSt1+fMWHh08Bhts9Yr+LiMgxu0T3R2rbF2jj9Hv0z4DvTDgYDdDsdnElN22OprT0/P8doNEK/PxCaufEYHBCnB1NpVNeqCphsbW+jWq2iVBL0yHFFiH0qxVIR09kUvV5P+M05wixNAkyn01G+UwS0+v0+njw5xGw6w9bmJubzuaIlFOgxCrAvYvyLSjiwDdbzvADLMu9e9p2XWWO2lsl+3qa5z8M8E7VH9fc97Xt+CoDK8zDtsMCniGUc8bxgQEz+5zAXzOFADEJK9Djmc+FL0Ov10O110Wq1RcC2x49xfn6Ot99+G0+eHOLwyRP0+n1kMxnkcjncun0L6+vr+IVf+H+wvr6OF196Aal0CslkAoxRkC2muqAWCQElSNWvN1exLZLJJBIS5Hieh431dUynU3zuc59Dp9PBd77zHRwfH+Ot77+FRqOB4+NjdLpdfPD+B8hkMuh2u1hbW0O328X6+jreeOMN5HI5lVjNdV3DUqZvBGnxEV+FbBDy8SGJxOEC7AgfBTsYWvhMXVpFGFhCxCiDDPOyq20utVj0NGMUjI1OlIg+kYMjzV9Cmkf0Jnkex1gS+2aziUajgXv37uHB/fv49re/jePjY9y7f19p67LZLLKZDLa2t7BWXcP+tX2sra3htlxTm5ubyGVzSCQT6ji6TthIqtfDo3NPhE7f2d3FjRs3cXZ2htu3b+P09FSC7FMcHR3i7OwcZ2fnePjoER48fIhms4WtrS10ez1c27+Ga9f2USyWpGYlafRXmIqERpDWgWC6upYuaBoJ17D4JiVOkTS5foKEBUCKAk9ixrTMwdqmsspFxN5W4UeZN3SzjpE1nJnZ4cPAC60huiacqCd4+OABarUavvtdcdrrvXffQ7PZxGQyMeKxeJ6HRCKBjc1NrK+t4+d+/uewvb2NL3zhCygWi1jf2JAxdeIKUNKYb2xsoFqt4sb1G5hMJjg5PkGz2cD3v/99PH78GB9++CHOz89wcnKCfr+PBw8eIJFIYDIeo1qtwpvPsL6+js985jPIZrPI5XLGWOlaFnsMwsZzUflxGhF+HO++yPzyPEAKlTAQ9qxaLuBTDlSihJ9IoZgWtfZvoDD6pTh/wGlWl9D8e8MJz0yexBiPZE6eRh2NRgPNZkup7RuNBpryBMZsPoPDGIrFIgrFAra3t7GxsY5qtYrKSgXZbBaJRAJuTJpZQIRNhJWjGCKKYMv/Ahofxwy4Rl78qWQSu7vieOrZ2RlSqRSGwyEGgwHGwxHm87lysnvy5Amm06lylASgTgW4rouYUtMKiTlKKvLbGjZncmTpS4WAZO+kUoXTzYHnL2AgfmNCrmor5TlIWKKtFJTMlD7EUVEvoDKmezyPC1+mXg/9wQAnJyeo1+t4fHCAo6Mj1Ot19Pt9gEsTTyyGSqWCcqWM/b19bG5uYv/aPqrVKjY3N1GpVFDIi+PIjmsmLvTbINrmOEwxee44cIjRc2DuzbE93EY6nUYikUA2m5Ugw8FkMkGvJ/wiOp0O4vE4Dp8cgiLSloodrK2ty9g/BcTjMRVy3fVcCeJM35SwsYmWYGl89X1v3cM1JY68S2eEjEFlHDcrMWlBVAlKmQs0wCGaRX2PRJkQ6EcHu57nodPpYDAYoFar4fj4GKenp6if1zEai31MvkKJRAKMMcw9oX0jX5StrS1sbGygUhF0J5lMKJ80zqDyGQFATPqsuI6LZDKJ6WSCRCKGnZ0dOI6DbreLZDIhUjV0uxiNhoKWtJoAgMPDQ3ieh93dXUynU6V1od8ArHkJ1w5cVJ4XULhIM7PMuy8CWU/TL7vOZ9UQRfXzIu3govuepi3PHah84xvfwH/+z/8ZH330EdLpNP76X//r+Df/5t/g5ZdfVveMRiP8xm/8Bv7gD/4A4/EYv/iLv4jf/d3fxfr6+qXeFUp4nqHty1oLSHsSc2LGNU9lGRaZjekYZ7vTRr1ex+npKR48eIAHDx5Ih8M+er0ehsMRmo0GxqMhCvk84pU4PvvZz2FjcwNvvvkm1tfWcPOFm8hkMlItD+m0Cvh6aeHEqp9M4NzMqUMEjEnTjMMYwJkAFIxhrVrFrFJBLp9Hr9fDWrWK09NT/MVf/IXSrIxGIxwfH+Ps7AyNRgPVahXNZhOrq6u4efMmisUiNjc3kclkkM/lxPHFWDxA4AMoXyqF7EzA1A9dUWQXywJkzt0CdflSqtQL71hcCGRQHwgEEBEmbQudyCB1vXjWl5InkylGwyEODw/RaDTwwQcfoF6v4969e2i32zg+OUHMjaFYLKJYKmKlUsGNmzdw/fp1vPzyy7h27Rqqq6soFApIJBPmqS2zxRKY2NnAaW6A+Vy0P5PNIJ1JY21tTYHxk5MTHBwc4N333sP777+PR48e4fj4BI1GA+fn52i12igWi9jd3UWpVMKLL7yIcrmsoiGvrq4gkUwADIjFKFMzADhqDIlh++s5ap6DJh/6rM+uOHvn35uIJ8DBlQ+GSg3A2IU+TDbDoN8mAPX7YLbHrANAqIOpDWgo6rAR2G88xsHBAc5OT/G9t97CwcEBfvChiGrNAWSkOTmdTqNYKkmtmfAheenll7G+voYvfvELKJVKWF9fg6utF9KGBsAURA4nxoCV1RWUyyXk83n0+31cu7aPs7MzvPXWW6id1nDv7j10u10cHR2JsAjcw/r6OlzXxerqKm7cuKEc9skcGYvFtPxBJmixGerzMmc8bQloiq3TXj+tJUwYfVZtCvBDACp//Md/jK985Sv4whe+gNlshn/+z/85/s7f+Tv48MMPVX6QX//1X8cf/dEf4Q//8A9RLBbx1a9+Fb/0S7+EP/uzP7vcy4hHW2OwEOVyesSSsrTNJitRr1i2MZ5Ui08mE4xGY3Q6HbQ7IqLjmXYS4+TkBK7rqoBYxaKHXDaLyWSsIjzefOEGqtU1rK9VUamUlS+Kmm+p6fEzNGuEccGaMAmtb0oRREYQIjrNs7GxgUQigXq9jlarhVwuh0F/gJPaiQI84/EYx8fHMrHdBOVyGb1eD8ViEWvVKtLShBWP0RFER/rQmJoUO5psKBL3hzps+C+FKgL1GxobU6MW+tKlN54d0t5UX1PRtVp0dFTkWWnLTMZDjIZDnJycoN1u49HBgVhf7TYm06lSl1cqFazIEPd7+3vY3d1VUnEun1OJJ/WcSfogLNo7PmOifghtB50AicfiKJfLGI/H2JU+VgwMsVgczWYT/X4f4/EIzaYH13XR6XTAABQKRYzHY+TzeWxvbyGTzWBjY00mPsz6x9ojGDtpQfw2+loUf7oYyG+KkVZOhpfl3M9QrM2aSnwZqvEz1ttiqTHadi+cqXWmSkBMvzeMyRHInc1mGAwG6PV6Km4O/f344ABnZ2c4fPIEZ2dnmM1mgt6USkin09jf30cul0O5UkEsJmIjpVIp7O3vo1KpKH+UWEwCA20UmOwjgRZ9BBzGwFwX3GHy+Rg2NzeQSqXQ6XRQKhUxnwnN7MHBI7XeAeDOJ5+oeC6pVAqFQgGZdBqVlRVks1lUKhUkk0kFIqOY4GUZ40UagkVaj0XaBlPYCmoalmnnj8tUdZGpUi9h/XgWzZddfuinfs7OzrC2toY//uM/xs///M+j3W6jWq3i93//9/H3/t7fAwB89NFHuH37Nr71rW/hS1/6UqCO8XiM8XisPnc6Hezu7qLZkqd+NC4XZQLwvxSFWb9hT0gUUOHSnKLXxRg4lxqU4RDn53Wcn5/j/oP7ODk5wb27d3F8coLHBweYSann9ddfx4svvohqtYpCoYDpdArPm6NYLCKdTmN3dxf5XB4rKxV1HFjkCSEfjrnZXtB31Cb/BI5uz3aYo9TDSo1r2fjJr6LX7WE8HuPs/AzD4RC1Wg2dTgcff/wxWq0WHjx4INT67bY6Alkul7G7t4ednR28/PLL2NjYwM7ODkrFEorFEuLxhAJcjAHck5uYhlfTpugSW0xJlv5cmWY5EztcKhAgU/8sACrWIws0NT7D95NJ0ndRx3IpD1K9XhexS779Fzg9PcV7772PbreL8/NzaUrpKcdHxhhiMRfFQhFbW1vY29/Hq6++io2NdWxvb6NULKJYLCKXyyGdSRvgKCjp0MkSbnzvt9EfXwIpfh/8+8fjsTqW2qg38Mknd/Do0SP84Ac/wJPDJzg6Okan08F8LphvVibEXF8XMXteevklrK6u4m/+zb+OSqWiouQmkyltfEURpjIuYgS5ftRn6g+kozvNqCNzVjGYvj+6xk7HHzYTVCfRaA2qJWKmVdDXB7XJ9EHyQauvMSEfGL1vnjIJTqd+egPyJxLB+Lo4kzFzxM8xaqc1NBoNnNZqaLXbSltXKIhAfJ/73Oewvr6On/mZn0G5XEa1uqbimDiOcLaPJ+LI53JwXEc73ePTH52WzDVaZIQb4FyN72QinKvr9Tq63S6+9723cHxyjP/1v/4Xzs7OcHJ8DD73kMlkEIvFkEgmkU4Lbd362hpee/117O7u4o033hBC0Nqa4bOj76enKXqbw5hylNmavo96r3IBkKe3dO2kPv96nQGT+FP06bLPLttv/bvL1kl/C7Ba+sk69dNutwEAlUoFAPC9730P0+kUX/7yl9U9t27dwt7eXiRQ+cY3voHf/M3fjHgDGZlFEVspfCCDEjmz+VOAMTGrGtOeLd4zlfl4et0e2jLrbO30FHfu3MHp6SkOHj1Co9lEp91GOpMREkK5jI31daxvrKNUKsGTp4HIubFSLiOVFhEcRQhyKOkFtOA5wMX5GSEhw2Q86oQC96XGi3REtLhI4+O4DiqVCiaTCeKxOPolEeyr0xY+B+12GwePHqHf7wtfm1YLkAzL8zy0222Mx2NsbmzC8zhyuTwymSxcl9rKdJqvhp/8ImxpTZ8rv0dBLhNGSCIRvXyOGXMbHKfL2Xv1DWpuWn1tEiOijMbNZhPNZhNPDp+gdlLD4eET9Hp9tDttzGdCgnZccVormRR5dyrlCvb397Gzs4P9/X2srAiNSkauNXKWpbaYg6VrjHjIPX57PY8YsqPdYzo40zFeETCOYXt7ANd1MR6PkZA+DvV6Gt1uV4T3n4oEd2fnZ+j1ekgkE+j1utjf38V4PJY5YzJw3ViAKQnGaI060wE707c4pD7FmB0FY/Qp1YBXeLm8tO6bXz0N2On3+HXbfieTyQSddhsz+TeZQPq9HhrNJg4PD/HgwQOcHJ/g5ORExEGSIQjG47EyoWxtbqJYLOL69etYX1/H1taWDNJXlGBEhFqgKMLkXG0MjLZ27cjgRJsM4UkKJHTKMJ/PIxaLYWNjA4wxbG1twXVd9DpddVJsOp0Kp/HRCFyCtVw+r/KQTadTlfFdZGf2NWoXSf5h9yz6LsqUdBnwYAuMi977PEDXomejNCEXAZKLxszWFj1PbQrwQwYqnufhn/yTf4K/8Tf+Bl577TUAwMnJiQwiVDLuXV9fx8nJSWg9X//61/G1r31NfSaNis5YAvvJsyYqTD2o/2XP64JxVajYdVS4exGh8wlOTk7wzjvv4PDoCB988AHa7TbOzk7Vs9eLRezsbOOlF1/EG6+/hs2tTZTLZd+JUEoJfrZR+S7ZWQVU5r7THBjgOC5cSWQ496U/eBzc88QzzBOB1vyOGJokddJGtiGdSSPFUwr1enseZtMZXnrpJQwGAxwePsHR0RH+9M/+DIeHhziVJq779+8jk8ng7bffxu7uLm7efAGvv/Y6Xn31VWxv72BtTWRYJmIo+i6bK+fNlblAZlMzImdgjjQtP+GypynPto2CtdngBDC1RfR5OByKPCkyaJrIWHuK7373u+IUz917AvRJSTqXy6KYLuKFmzdQqVSE78naGm7evIm1ahV7e3tIp9PCzMpszYhnERQY182xkzFvtLbO53PJFKhfBDR9piu0GyLPT6VSwcrKCgaDAba3t3B8fIwPf/ADHB8f4/79B2g2mzg5OcFgMECj0QDnHEfHRyiVSkgk4tjZ2UGxWES5XEY8bvrV2JopMkUSGLAFGHOGTTshI/WefjWEztvgQheIdI2T/YwYF1fOve+ka2q1TC0VaTXHY2FCfvjgAfr9PlqtFhLJJPL5PJrNJo4OD3Hnzh28+957aDYaaDabSmtLPm0729tYWVnBa6+9hvX1dXz2s59FtVrFxsYGkskU3JirvTtonghEDZaMyNPXk6RLYOFePHF53HilUhFJDWczbKyvo9vp4Pj4GNPxBK1WC7VaTYAVGYH7vF7H8ckJarUarl27hul0ihs3bigwXCwWVVoPG8jqJczs8jxKGCCIAkcUP8tuy2XMQFT/spqO59nXsGJqXXkAMOqn1p6l/FCByle+8hW8//77+NM//dNnqocSnNmFa5tDvxaKJqWZwAAnjEMm5tEkKxp4+kcvvtOd53kYDIcYSgfHVrOlmMyjR4/QarXgzeeIx4SDI52C2dzcxN7uLqrVVWV/TSQSmoWcS8Yhia0snifaIzIeC4c5z/PgzedwXBepVAqgIEwcYJxOHM2ULTseiyEmpSWVd0UP3U5vJJOK1GboBJVB2J3dmIvqdA1gDDdv3kQymVRqXVIjz2YztNttPHnyRGoAkpjJtqSlpJ/NZKVklJCERo4zF7MVuonNiZSgQC4DW1FA9/sWgEAJbKIlQOty0g5TDMk+kUEApVarod/v4+zsDP1+Hw8fPpSnwkSgLJJq44k4UjJ3ysrKCm7LAID7+/sol8rY2tpCoVBAOi3U9kxTU5nmKH/MAmYSS8PCLfUhDZOutfOZN1dzRvcy5iCRiIMjjdXqKlzXwWw2Q6VSQSqVQr3eQDKZRKfTRr3eUOaN8XiMWu0UjuPg0aNH6Ha7cBxH0QHXdWWyw5iiC+Yc+n5BUSUwfRYdCUjWsJaByv3kA4/w99gMktY0D7lHvEUPmz8ej9Hv93FycoJWq4XDw0O4MZElvdvp4Pz8HE+ePEGr1cJkMhHfSQdUinP0wgsvYK1axUsvCbPaqjQ3x2I+c9fpnt7maC2Abpql3/6pMVvjpkvmrusgm82Bc+DatWvIZXNotVpoNpvIZrMYjUbiBKR0EnZdF5OJADIPHz4EAOWvUq1Wkc1mVSC5hBb1OEyDaUv/dgkz8Syz123TURRg0HMVLfvMRW18lhIF4GwtdFgbl9Uw22voaTRFPzSg8tWvfhX/7b/9N/zJn/wJdnZ21PWNjQ216HStSq1Ww8bGxqXeQfliTEGQKwbL9Wv0J4QCWN3AtO+J48lnggPKVCCx6WwmT7408e477+Dk5ARvvfWWOIFxfKxU4IVCAWtrVSQSIm7JK6+8gtu3b+HmjRtYq1aRy2WRTMQxm04xn88w51L7wefa0Twmgnd5HgbDASaTqbTzzzGTYa7LmpMZEcTJeIxOpyude0diQ2ezSKfTol6uQzTqYXRURcZEAsRcPodsTgQIq1aryGQyODg4AACcn5/j4OAA3W4X9XodZ2fnqNWEc9zJSQ2vnJ3hxvUbqKxURITd6powE7CCZDpMTYOO0Klt1kSqi4a87NEN4otIdatpF/DrtYuqSgJVfb1cUHTJgpIGzudzHB8fo9Vq4f3338fp6Snu3buHTqeD+rkIOV5v1IWKOyts9pVKGYVCES+/9BI2t7bw5ptvolKpYHt7G8lkEulUWgbhkpK7Moz5IeGFVOfP53w+CzAQAapmAQLGWHT+FTVMEhDpayaRTCIWj2N/fw/b21vYv3YNw+EQd+7cxfn5Od555x2cnp7i7t276Ha7aDREFNy7d8X3iUQC1WpVBSXM5/NIJBLI5XKKWdmnlwjs+m2i+YtqM33QiC7dvARPsIFboF6tXcTMdUZPgFAQdCgwKxIG9nB+do6PPvoYR0dHePe9dwUQAFTQv+FwKGIvZbPI5/MilEGljP39faxV1/Daa69hc2sLe3t7KBYKSEqHalonUcVkMCby1zUsAGWHd5QmiDQIpuBB68wVx+MLBWTSGXR7XZQrZTSbTdy7J04DiYzdQxWOv9ls4vj4WAk+Z2dn2NraEhpFmTm+VCopgShMw0Lr1452a/fZNvstAiuXBTaL0gQsqvdHUcLAhA1W9Ot2WdRmPb7PTwRQ4ZzjV3/1V/Ff/st/wf/5P/8H169fN77//Oc/j3g8jm9+85v45V/+ZQDAxx9/jIODA7z55puXetciOzL3fCe2uSekePGF/xylG1cLmguPD08dCZ0o5gIAyaSIOcEcB8PhEE+ePEGtdooPP/wQjUYD9XodnudhdXUVxaJwcMxmMupIaDKZxPb2Fra2trCysoJUKglX+p+II4UjdDptTKcT8UwigVQ6DYc5GI3GmEwmOD07Q78/wNHRkQAgwyEKhQJefvllFIpF4VciHWkH/QFqJyLKbb1ex2p1FaurYlO7Jb/f6kisXECezOTsOuJ0SAw6AffHnGIwrKysAIDII9JsYnt7G/Xzczw5PESn0xHq6NlMmPY4UDupobpWRbFYxGuvvobNzU11qsnR4rtwruERjfmo+VdirgAcvgLAZD763wHFtC4qG4wjTBkuP/tDsbDodmki3NPpFMPhEI8ePcLh4aECKufn58qvJxaLYX19HTHXRWWlgnQ6g83NDRQKBezLExlbW5vIStAZi8XkOooOKS/a4cHzgip9/TNJv2F+Pb7GRK/bgzi5Ei51EcARPgoMGRkVeXt7CwWZ+LDVbqFSKaPVauH+/Qcy8aaHyXiMhw8e4uzsDM1mU6aMEPtpe3sb6+vriMfjAqil0yH0QBM69MnmYnb1ITKes6swPktNE/NBvj+2pprbbo8wawY1VHohn5SzszP0ez08OTxE7aSGWu0E5+dnaLVaCgyQ8OI4LkqlErY2t7CxuYHd3R2sra1ja1OYlXfkUfCsdFS11fOXlXj9r/V9JtZWFLOzx5MxEb02kxZO3nt7eyK1QqGIwXCA69evYzgY4Oz8XGlSBoMB2m0R6uHjjz8WJymPjrC+sYG1tTVsbW2hWq2iXC4jl8sp0GIHiNNB0zIMl+5ZZMa4aMzIOZrWhJ5+IKo8i4/KZeqIukffz2HaFv2eKBPQ8yrPHah85Stfwe///u/jv/7X/4p8Pq/8Tug0S7FYxD/+x/8YX/va1xSq/tVf/VW8+eaboY60iwqj7J2AKfVy39OaojOOxiNh5tCYBqWhJ9s3PTeZTDCbzVTytX6/D845ypUK4vE4EokEWu02fvDhD3BwcIA//dM/FQHRxmNUKhXcunUL165dwxe/8EVUKhVsbAiCmkgKYCRCRLsq0BYD0O/30Gq18OjRA/R6Pezs7CCfzyv/lUajiV6vj48/+QSNRgPvv/8++v0Bep0uNjc3pePiNqorVbhuDMxhaLXauHfvHg4ODnDnzh3cvPkCbt68CXAgk86ofk/GE2WaAPyTE4lEAo7MWqsWntxkNIbpdBpbW1tYX1/HzRs3RQ6hs1M8OTzERx99hEePHuGTTz5Bvd7AgwcPcOeTTzCfz7Ehg45BSmYleWSSfFM0u4X0PYnSrcNkJKQs8+Pphz9mE88Qohr6JGO+5M35hWhFjxYai8UwGo3QarXw7rvv4v3338fbb7+Ns7Mz5a+zsbGBXC6HXemfcev2LZTLZdy8eRO5XA7ValUxbEGAHTUXfhODaiLOPaMtOjP1CZKn3e+PR3jyQFHI7g5/CDUGII7fOg6D48TAuYtYLA7OOYqFAuZzDy+99BJGoxHu3r2Der2Ob3372zg7O8O9e/cwGAzw7rvvCGFB5t0RR1038fnPfx63bomxobxBZjh+zZ9LA72c/hAtXSjsaMOn9V8bAwbNTDNTgJ9zrsyrOpMkzZYYN9/BVifyFL36zp07aDYauHv3njhBeP8+6o0Gzs7OVLZsii9SKQvn6Tc+8wbeeOMNvPTSS9jf3xepDjIZxKR2gebG7vPTMESmQT9ACjcWI7dBgXqn1Hi7MoUHpW+gMZrP5xgORVLL4+NjHB4e4i/+8i9x8OgR3jo7E345n3yiaPHW1hY2Njdx+/ZtXL9+HdevX8eaTA2hcjQxptE4a3ot7WHY94uYeVg/beY9m4n14Uc5NsdpUZuiyiKtzEXai4s0Ovr1i4AZ0Qgd+IVppp6lPHeg8u/+3b8DAPzCL/yCcf33fu/38I/+0T8CAPzbf/tv4TgOfvmXf9kI+HbZMpeTz0CgxS90pG/Q76PX76PVaopTBpMxHCYAAiVHKxQKSKXTasENBgOMxiM8fvwY3V4X5+d1cM/D3v4+MtmsSqh0eHgonEhPT+FK/5Pt7W288fob2Nrawu7ODrK5HAqFAlzXUcDElQ5/RNgYg3S6FY6orVYLsVhM2JxdF47j4uREHOs8PjpCs9VGqylStPc6XeRyOQmu5v4C9Tjmcw/T2Uzl2BBjJQg5JU5kbIrhcCS1Rv5RWcbEiRThaOdrV3TGptu3HcdBPBFHJpNBZWVFnR4olcvI5/N49OgAjx4doF4/R7vVVmprMoUAvg2fkAcDAQFN1UxaFn0DWGCFmAlsAsMAzrhp8uFSMuZQpkSdmHHN94L66zgO4HCAO34biTlisVqU6h+PxxgOB0rTt1atIp/P4/Yrr6BSqeDmzZso5PPY3tlGJiOSTpIvD0nFep3mGNJvn3g6jrDzEwj3PE+d7jCYvDZYtDb9eQEY43LdBFXjOrH25yLMdAClmUyn04jHRQTTUqkko5W2UF2totvt4qR2gkG/j9rpKcbjsUhBIU1E7VYLg8FAaVP0ogimNuZ0nJmWkuizo82rEFb0AHC0bvQFxrlwJPW4b84TYztW7zEdxc2M6QCXJ/mYPM0kfGrId6nVauEHP/gBarUa3n9fHE8/PT2VmiYBgtLpNPL5PFZWVrC9tY1r16/h1q1b6kRPsVhUMXPCjvAuYiQ+4NSZtDmPYgxMR3cGZsXnMdcIY0yNJW0ZcVJRBNejvUZRicnXzY3F0O50kE6n0esJge5UxoWZTadoyxNRpLVttVoqwzNjTAFZMjvRHI1GI+UHBED5P1GuKzsBog1ybJCijymNOwEvOiJOe86gn3KwL2Tp2j00G7TLFb3TroVOqqxHCVlcHLYIo1t623RBjstnPJlLjHteICCgqkM+T++g9122/FBMPxeVVCqF3/md38Hv/M7vPNO7ZtOZynDqAr5ZQg7GVJ6mqDfqODo6Qr/fV455juNgd3dPHJNzHLhSFcc5R1fm47l77y7Ozs5wcHAAz+MYjccol8vgHGg2m3j48KFS4a+srGBnZwcvvfgSvvSlL4nP29t+bgyYMR6mswnmMz8KabPRxPHRET788Ac4Pa0hl8thOp0qYkcOug+lc+F5/Rzjkchom8vnMR5PJNNjilETER1PJhhJoELOXEJ9PMF87qHf72M6naj+UztTKeHz4jCpupc+DExKBuTIqDPwWCyGdEYEaNrb38fe/j52d3bw7rvvwnEczGZTtNsiQdlgMMBkOlXAyCfocpgUnmDw5kEiYYMVH6R5ASIilodPLI3tJFXW3twzYl6o8ZDbngBCLOaCwYEjQQpjXFMABaUvm0nM53OMRkP0+33M5Prd3t7G5uYmfu7nfg6bm5t45ZVXkMvlkMmkjOd1+z8AUJJCnUjq35N2ynEYptMZhsMRBoM+pjJIXCIRFqXWJHWktTEGLKRvdv8JLNkmADHX4n3xuAg0ls/nMZ/PsbOzg36/j+v719BstnDn3h2cn59j/u67aLVaODs7Q0cm2Gs0Guj3esjncvRyCTTI5COu+f5BMxG/RX5NzqQ0r2GmKzEaGrDVwPxsPlNxY4SviB9dmBLr2SeVCPjRO8mXghhor9fD+fk53nrrLTx69Ajf+c53xJF0eQ/VmUwmZW6d63jxxRfx2uuvY39/H3u7u8L0kc8HpPwozYC5PtXAmdojC6h43tw49UP9c5gD5jAFBk3tggVc5OiCMcRcy1SQSgnNW6mEgjyMUC6XMZvNhA9gLKYScjaaTZzUajh49AixWAz183O88MILKBZEigjfrOwDRhJIKRs4Y0z5P+kg017X+lrWaaVuFtIB4Gw2U75G4/HY2G+xWEzFh3Ic50LtLNPnimu+mZZQZshtYXXqIMX6MV8ojqur+7V3ifU/V8qCuOeBy34J/0eNfsDP4UZjd9nyqc71oy8IW6XtxmJIplLIFwpGVs/Z1A+8E5AmJAOLxWMib0kuh/F4jEKxiPncQyqdRiKZFNoRTXVLpxAKhTwKxTzyhTzS6TQc1xUTzQBwjVhAhNifzebyqCdEW/MFVKtrYMxBsVhCLl+QQdLiuHnzJvqDAUrlCvr9AfZ299AfDKS/xxoKxSLS6QyYdmwzm8thfV04KMfjcVy7dh2r1Spy+TwSiaRISuZNJfP04Hm+6hqMYTafA4xhPJmIHESy7oSMXUBMUzB/SXYcEVArJoFHqVjEfGcHdZnf6Lxex+nZeUBaEfWYBMDXinj+vMlTSjT+FF/DdV2iefDjxfgM19i8xj6R75IauPl8julkqqIMAxzMFQRYN4M4jgfICK9+wrrFBIJzLrPV9jEejTGbzpDP55HJZHDjxg3s7u5ib29PnGSQcSJ8kEAMl/xIwh3yolS1xHj0fRNUU+snNIISOP1NbRDPOSBaRnXrz4WVMMYHuV7I/Hft+nVU1/rI5XM4r5/D8zwcHx+j2WwimUxiOByiPxjIXEJCI+i6LmKMSUdiyUylU6r4kQBUmgUdR6wZas1ik4imSSBp0gC2c18wkMH4dEBCju6CEfrpAKKALRF8+pvM1OQwurKygq3NTbzw4ovY39vDCy+8iMpKBcVSCQnthKS+Huz1YWvQxDWz3wHwKtcigwPmARweuKZhmyspW2gpzVNFWgRhddqQgXEG5vptpPcSfU2lUlhfX1dg8vz8HNvb2yKo3empivzd7/VEELxeD/VGA71eT5yO1Exyep8JYLZaLXU9lUohLbXruh9J2J6i9hFdCNt79F5ag7ZJhrQMwkGaqXhY2pSAbhS8gysNsA5AjXYpWiQWt9IYk4ZV1xhqW1G/zsAC9ejtoIMcw8EQo/EIiXgCbsyVGlKhNSLQas/r05SfCqBiI0LHdRGLx5EC1CLp9/rgHleBtWYzkfzPqA8McKAICmk1isUi5vM50um0CoLmuGR7Z3BcBwkZfKtQKCCfzyOdycBxXeXjIZiooxx1FVBxxeJOptLIF4qoVtcQi8VRLJWRy+WVb08ul8NsNsPe3jWMRiN1kub+/QfI5fIoFIrinY6rTm/kcjlsbGwIc0xlRRxNXF1FvpBHPJHAbD4Hk6YHYSqbqbgsjDHMZgJMjCdjRXBc11XaJ+HIZ6ovAQeOywE4iIGhVC4jncmg0Wii1Wrj0cFj4V+hj73GLEk9T1qNOUXmnEwEoJj7kgtpdQyJVW4vxhy5pSUBgbn5dFUmzclUOk+PhkL7NJvPwBmQiAtfHQ7fFqsAC5fh3TWBSAdvptnBw3g0Qq/bxWg0xnQ6k8n44rhx8yauX7+Oa/v7KJVKyMjEjva+9k08PKCe1omxTRj8PSJXOvP9W2wpUNamPWsCSDPeDiACwAXt8jbToetUvy+9y2cdJmL3pFPI5fKYzWbY2NhQjsbZbBZ3794Vp98Gwoeh3+8rEyK1SepxMJfrh/Y7mTupvY43l8zAB0s6czC0blwpaBRg9sHKXMvJJEyaZNYlwCGS+vl5aqgecrCleaGix4mh54vFInZ3drC6uopr165he2cHt27dwsb6Bra3t5FIJmQcpXAp2YhIrfyOmBKYzbVmaj/8bKdksJF3zBXrBAeT4zIXjBQElHyfDC4ZrA9UpBmZm4KL/u50Oo319XUUCgWsrKyg3Wrj9OYpTk9PcXR8hLt37+Lu3bt4IjPP04nDbq+HkZwLNY3avh+PRaJYAiqxWEyZZQGoYHI2sNO1lyQg66dawgqB2AC44L65mEk9LdFfWn/2fNKPHWna+G2vXW0dEHAxZ5sFNc12PVp93tzDVOay6/V7iMfiKjQGT3EF0O02OrHoWDeLyqcaqABBsGJ7ZieTSZRk0q1qtYrhcKjQbb5QUEf6/NgTDNlcDolEAvvXrgmP8vV1dZonHk+okN0eF1I3xTwR6rw44okEYvGYAgxKPmVC4+DAVfZXWi+lYgmJeELYM4cDeaojh0KhqE7/cI8jm8tjOp0hk8liMBgiXygilUxha2sb+XxeSfccQksjYikUZLyBHHK5LBKJpGLyMRlbhRDyXI2f8CNwGFNgS1dB2z4NnHMhSUGTXGQdyVQS2ZwgtOlMWoXQd2WQOtroROxFpmDBWPq9nggd3+0KpjPxGVIsFhOe/akUCjLipU5caD5ZiDRlEHIJZGKuMHMhJdvjCY1SPCHV8zLnie5MLLsJc+9zJSnZ67Q/GKDRbKLb62I4GqoQ98ViUR0dVWsjIG0zFdCPvg86B/pgj9YpEQvyWUgmk/A8T5r2XMTjCcNURAxFBxVSgStNNgRaxVpzHF/qpuBxthbGjtehxklqzPT2qzdK4FIsFbGzs4PJZIJKpaJMuL1uD81WE5VKRa1N8nUAJ/PmXEn5jDlwXQhnczJnMkdoB3SpUVsjNHf6PKqsvjFXaF+TwjeLhCDSzOkaR1Oj4u8dqisej6sTX67rGuwhnU7j2v4+tra28NnPfhYrKyvY29tDuVzGxsYmMlmhfVMh7a13Uz8mEuzrR2R1rSTFnpnPfRogxkGaN+BJ4cwH6/pc6+/2gYo+npA+Qh5GwzE450ilU4jH4sjmfGAeptUi35FSqYRMOoNSqYSNzQ3s7e2JXGKShtHBh8FggLE8KelZ+5DW48rKikorAAC5XE6YruVJJNKA2CBb1/bQGNBhDCq6NoxzjkQioebXiPgrH6Ej55xzOEz45SgEyX3BTUQwF4PpOI7Q2mvtIYGRRtCgQxEaTrV7fUnL+EzmH6KVRC/pFONgMEA8FoPr+kkjwTmYPK5OfWKO4AXqBO4lyk8FUKHfekAtSMJFgaFyuZyhhiN/DaEhcME04kCak2Q6Dc/zsLm1Bc/zkEgkwDlHt9OB4zrSoc73M3FkXf6pHk0ihZTomYjF4sbiYI6jfAzyhSIyGXHcdDqbIpfLIh6PI5vLIx6LqdXEuUDnuVwek8kEpXIZsVgM+byQzH1VG2QE4LJayKSSo3FIJBIARMZUoUGZqZM/Qs3oMx1yPtM3KBUyZ3GYDIoxJsdEBKHK5kRSvHgiDniSeUktiFDRz2ETPVLfNut1TCdTjEYjRWiSSWG+ymazSMhjqnr8BNL0kFpfZ5xCKpbaAan+dB2hriQzjyfBTTwp5oqFnNTQBkGAFUUhPPVefa0OR0O0O230B32MxiOsxFeQlZmm6ThlTAIVwD4SKZgKFTJr0Pf+M1wS2ThcV2iXdPNDKiXy5tCR4XBCrGtFaBT90Pn2GvCHgZkmRGuPmvdaZj4Auj8MSdOcc2xsbKDX66FUKmEmYxj1BwKwDIYDzGdzeK6n1i+0NUT1uw4BzTgcOdc2eDIkTxtoij+UmREAEojDS6WUmYmeIbBC86efArLnlfYmgQg1rrKuZDKJra0tvPDCC/jCF8VJwp2dHaRSKWQzIgKxPpYkiJFUS8yCwi3YzpyJBDFvaG3TNWqSrnIP3PXHjJi0HqBuNhN+g7JRhgOzaMMUs/kc3U4Xnucpp99UOiW1GkHNig4OySmWMSYOCYzG8pSQSNh5dHSktCUCOM4MDYhep/A3FCcOdVOPTn/0OaJ1T79tcBJYL8x3DSDeQX0hjYmiSeRs6gmTsquBFEWr5Pjq4I3aQodJQumS/juknXp7A3uV1gB8QKP2KoDZbIrxcIRZzIXruJjmcphTWgPPD0xK9MJ1Xcymf8WAiiAY/mQCQTWzkjgZZDZUgexiSvIDPA4wzYzBmc/cyG5OqkHhwd0XWgap//TAMefCuW42n2POPYXiVf1SvPBBqfhexUSQzDebFY6BiaRv5yNwwiH7AEdoRWIxuDLrKS3+kbKPOwrVAqI/ZKOnI6NUdGLjayIAz/NPfpDUAMCQCNQYM2Z4/PvSHMA9jpjrIpNJI5NJCzA2mSjbNmMyBYB0KKSxcF1XxJFxHMyktEoEHRB+NwRE7Y22qJAJaT4XJzfoCUdpCmJqzQA++OASjHiw4ymQ6YCpHa1rlhhjioh3OuIUWavVRqfTEYQ6mZJxcqZKItfVxETcCEBSH/Q2+IHEoN0P6Xs0Ve33AQTXQI7oLDE2U7KlY8s+UdWdnsX8+6r16XSG6XSiGDfNj942e43oR5zpnToYjMfjSKfTSKVSiEnmQDE1Tk9Psbqyim6vCw6ORDLhS4iynhgAz3EQj5HjqnSsNGg4nZxixt6IKmosFTg3mYQe8kAvtL51ZmPTLLUf4WsSqtWqys+Tz+eV9O84jop7RIXmkIBJrVZDt9NFs9nAeDwWJmnp+xGPx1GprCCuJX4kH5tEPC79DlJKg+Ry/ZizHx/E14Z6mgaZYTQWJw7Pzs5lhN2amLtWBxzA7s4OCsUCXr19G7lcFuVKOeQEWggDlv2MxcVhhUQiAVd3lhILAIyJ06H+CUoTYBNdpyIc3Ucqng2BI3J+1edf94u0NbbGGuFcmeSo3eSM7Uo6TZpshzE1jrQ3/PE2tVhR7wsbOxLk9aKbcKPGWAc6+lpW2rPZHNPZFMwRcXEcOU5CuGaKltGaJMHjsuVTDVQcqQXRux2Q9D3PT9jnCJDiuP7JF1+DIB9SGjmubIWJWMJHg7OZ2ujGe7gIWT+XBNpTWgZZG2eGjRsgVainjg0z5iCVSsp3kSMSkxKyACoxV+w+NxZDjMWRTArveCHBeYrBOQ6p/H1P97nnYe5xxNwYGPP9H2ziSad7/I3lMwy96ESVMQbmmCplBia0Th5XJodEQoRB9+Ye5nympADHYRoD9J3TRHoBIJ3OIB6fKe2LrkZV8WgsaSBsQ4g1IdTb6ng4PeNShE1p3pBTPJlPpQpVAhAv4nSICjUTPK5LQGUwGKDb7aLf74lj8MMRRqOR8qOgH3rWz2prnlgIO2Wgv4+YpArm54+AqmeqTlwxpb0Q8+2vGwFS7V0GEHAhTRiV6XSC0WiM+XymNCs6gdXnR//bvGY6YZJJT8X14cIpmfwLOt0OhsMhksmkeIc0xzEplDhM5Ev2jwsLYMs9H2T4+1LqPkPaZa8jwZSJOZj90Zkt3asYuUX07XrV93IfJOJxlEollMtlVCoVFejPn4ngeiPTxWg0wsnJCU5rpzg5OUa/34crAU5Oaji3toZIp9PISCFpMBjCcYSpUJzsK4k5QEKYdBid0vNjk8xJA0HtkOB3PJlgMBzi+OQE9Xod9+7dQ7vdQbPZAgNDr9fD6uoqNtbWwbmHQqFgrPeoNQL45l9FBywNH92v2ibHl/aUru0CfDpIR/hHo5ExjwRU9P2tt82eUxuQkvmH7qXTjvRuWZFRlz2n+vowaK02NlFCu12vDlzCtKNhxX5+Pp/Dm4tEmwSsRQBKMVY64BPuEpcHKcCnHKhAggFYhBxKyrdv574qTZcOaTIlE1KaFYuwktvYfO4zEx102CYH/b0ktUKDL7T4HMfBRB4vHkgfGiGV6pEMXcRiLjJZ346qo3xhf6fFTJtEdU1c9zxwT6ilJ9OJPH0ywmg8UrmAxHiIZ6bTKcCAjPQrKRVLAf8UY6NwGNIdaVQA4f+RSqaQSaeRSacxn84w9gT48gm4J0ERg+PEwXkMDgPm8xTSKQFuZtOZUEF7XETNdUVU1ngirmkdPEPDECjEwOQ6UTZ315W2VOJ00uBBKm7owE0SFHJOIQ0Ek8+GMncxpqPRSJnZdJ8XffPbmgcbqJiEypcSdSJKPhP18zpa7RbGozGms6lqFx2PJhBA9v6yNCeGEUtqy3zuO45SYMThcIh+v4dOpwNPgvbtbREtlHwBbC2DTUy1XUN3BMbQ40IbRO8e9Puqr/P5XMyh1AIyIEQtbhNy/6yD/nap3PEv09RKTYqn+eP4msEwXxx/DZE0rTMwogHCoX2qnLqJqVL241QqpdYKMRmbYZHm03Vdlezx3XfexZ27d/DgwQN0Oh1lAkulUkgkEiI5YSot8u+Ao9fvI5FIYHNjAysrK3j9tVdRKBawsbGBWNxFPE4mEt9UNZsJZ9FOu4Ner4dORyTZrNVO0W53cOfOHTTqDRweHQoH6MEIjsPQaNRFgsT1KobDTaysVpBiaWWWjmLMxnqUa9KVyQnz+bzQOlG6EG3v6GMfplEgoYIiSBOtI6FJv88GB2HaDCrkF0bFD06o0Q+Ea4WJNhHwpneR34fiN4wZFIeuUR2EyLnUznP5YrIgcLnWg30QC59xiKAMDGqsk8mkNN2JOUskEsr8TsLQaDRSYNIXBi5XPtVAhWsdJhMHg7D3Met7cT8MoGIQSfgESCx+jTFY9egnH+ge1Q4lWhlv9cGKNlH6gp/KBFyU22IwGEg/A3FfJiMWQnE6Uw6jJBkQUyZJWDm0wddOMMbAGQOHNFHJhIG9nsj8PJmOkUqm1GIiRscYQ7Ek4hFk0hmlBqX2U/3aYASc1xgc5S9Ei9mNuXCmwnlPJ0aO4x9p8x3yOBJ0msHz7yVNGGkQHOY7Liv1s1WIoTCHgXHhZa87BxLY0JmaIoz6emNSg8KZehGtQVI5U9v0je9Rvh9y8HQcg7mFrU19XRGT0kGD0XZrTc5mM7RaLRwfH6Pb62I0Gql+dTsdTKdT5HI5pDMZFItFOI4jAxS6xhpnBtdm6nQEMcN+v49Op4N2u41moyGZuIdEQphtSOUbpUkwwYp/T+B+CQ5JQ0WRp+ezmTqG6oGDwj+aUifhSD/oH+dS06reB4QSUmb97ZnrVu+DrUq3pVnd1GUDG3HazPRticl9E48nhLYPJlAJM2c4jqOycj85fIK7d+/gk0/uoNlsKpMymU7X1teRTKZkokCObr+HdDqNzvXr2Nrawt7ujjhs4EhNrXSW1AUizjlmU2HarNfrOD09RavVxtHREZrNFu7euYtGo4Gzs3MMR0PMpjPVxn5fRLNOp1OYytxltIPtNRPGxIlRuxKspFIpccqKHNN1ITbit713yNeHS1CsA3cb2FxUhKAZC1wDBD0AA1zuGte5pPtcAhhH0m/GTf61UBNCQhPtBeqf8Vt+soX6MLACQeMcQJ3+jCcSSEhBx47JJMxbc+h+dLReLls+1UCFbNBm4YqeGnqNCxYVAQKJaxWn4TqBARMJl+ccfO4HCGMccBgQc8UpFqFq9lGu4wjU7GdEZgR01WI/OHiEo8MjfPsv/gJHR0c4OzvDeDRSKrOVlQoy2Syu37iBYqGAGzduIJvNYm19Del0BiuVFUnQXOVA53kzFXxK2EiFT8bR8SFqtRrefvttPHjwACcnJ+j1ujKrbRqxuDhm1m63wMBw46aIv/L//j+/gEqlgs3NTYWYbbDniWRJNEG+n0DMVeNDP476YerHmCIN3dtxV6QdRkkFJI0o51AlBWvMXm4Ql7lwAMBzxaYhBUoApMhVxgVzE1vUr1NpVPRFBNEmiryqAIXrwpnPEYvHkUwmEI/FEHdjyOdyKJVKyMtEjzmZONI2Zdnr3CRUEpZzk1mORiM0Gg289/67eOftd/Do4BHOzs5BrSTNzUsvv4y1tTVsbm4hEU9iNpsjFvOPldL76BjuZDJFt9PF4eETHBwc4Hvfewv1Rh3HR8eYTMYYj0cyr9Qq8vk8Vler6l3+8VwBSGiohSM1CQDUb//4tThJ5wdoS2XSyOXzWFldQb5QQDyREPfEYmBM2Pph+W4YQoTaf0QnNNFGU+aQydgcfEGwY4o2LA4XbmsAAuAems1fc/5l0jwjAv9lkEwlJVgQPz5QohxOBHygXZ9jNqPIub7WiTGGifQdmM09eSJJxF+ZzqbCjDafYToZ4/z2S0gk4/C8GTh3wFhc7BPuqFM8tdopHjx4iHfeeReffHJHxbwZDobKrMk9DzE3hmw6i2lsAs49DAd9dDsJdDpCaJpMxkgk4koIU3OkQJ8HPz2GGmAlCKVSKeTzeRFvJptVfji6FlgX4mjP05Q7rotCUaR3KBQKYp6lhios0WHo+tKKbq7R14DqD9E1wgsaX7DrJHANDhF7hjEZXI/LNRliNpLXwXxgJlwfIAJWQgpYzNTGyAr0pumdQiyRgBOLYWNrE5XVFUXLU9Jh3/OE1lsEHB0L4ZUxESDOm9s1Xlg+1UBFARJDGpNf2YsmZOLNqkK+l2DFfsaQpLj/vDgxYpp9mKxGaBkEEWYayqX6Ws0mjo4O8cEHH+D+/fs4PjrCcDhUhHltTWQZ7vcHqFQqQtNRLAKAiN2Sy4uFawV7mntzONwxCFe73cbR8RE++vgj/ODDH+Dx4wO0222sra8jIwONAUCjXgdjDKPJCNvtDj77mZ9RJ0ZsqRDwj9iRRoMGgJhB2NibEi8zgIUxhobEaH7vzzu9LDjG0D4yJmGkA9XSgKGBXqLm32dy+gz7IE1KgCStg0G3PlHfXFfMJ6nfkzKrdiKRQCIujrZTqnqzb36J8vcgsEKAj8wjp6enePDwAT766CMcHh6q1hNxLxSLiMViIgjdbKa0VrokSuaW6XSKfm8gtTQnePjwkUqseHDwWDISD9dG16T5YagkU5NImzovAim6DZ+0bYxJaVkGUHSkvV/EW8khnUkjJpkRHe0Vr6D3WJqwwDLTJE9JUG0tqiGOyj3u98NcC1HF1prR2No/CqhAcxhXzBZqmZtFN0vCqEs4Ns8Nx33RVjHWg8FAroWxap83n6Pb7aDX62I0HsnI1Vz9KGFOzlGv18PJyQnu3buH999/H8fHx2g0WmrvFwt5lQLCYQ7GE9L8iqzx0+kE0ynlHBOgVQDlIO2N+kxCHZkkYtKRm4SisGd0OgUIpk5Oxfa8hoEH+x77Hfqc65+X0sRYn33aEvxSWAIctTZ1S4AWIENqauRBC09H6+FmozCNJgOEYzWEyT2gIuFaxF7po6icriWAuWz5lAMVa8cyn9Aw+beaIh2ZXgBaFr+S+Q5cjgtXP06pWbr9aTd/k3Qg1KVQdv3aaQ1HR0dot5oY9HsA4AdW4xz1RgPtTgetdhupVArvv/cesrksdnZ2sbOzg7/9t/42qmtV3Lh5UzjgJROYz4UZxWHCqbXX76HX7eKDD9/Hd7/7Pbz33nt49OiRykNxfn4Gyj3COVeJz/q9vsx/NJZRaueGZKGfi6fxIVMa3dPutPHkyWOcnJzg/OwMo/FYnBbRTFNiouR40eK3kE9g8xqbJMrw46sbw+Y8ctvI5aUFqw68H9Y34v5gmXvCOz4ejyObzSKbzSIjE8YRg43FYj6R0QhbmESmg0OzXxyeJ+4hgk/xFwho0B4pFovI5/O4ceMmbty4gR2ZdTcps3oTGB0ORQRPysR955M7ODs7ww9+8BFOT2u4c+cOhsOhCspWLBbwws0X8Pobr+OFF17A5oaICUTaEVOgEL8p2jPndHRWOw1Da4PJ6LWZDDY2NrC3v49bt2/jxo2b2NjYQCqZFKcN9D1nAB5r32tjRiBTfNK1ZCHTzHVSE6QrVKIEpzDzBf024rAoZ0Xxw9WxYf8Z0iBSDBQ5tSDtIgFjil1EvhbxeBzFYgnJRBL5QgHJRAKFYhFxGeslkYyjVCpifWNdRkteVap9MQTk7zbBeDzB6ekp7t27p1KKDAZDAEC1uoZCvoBbL78k4pbkc3AcF42GCOI3Gg+RyaSxu7uDanVV5rIyNSD6eOr7QD8WTTl7yG8pFouh1xV+MrqpVC/KH8+aG5s5+/R9eX4RNcf25yhTaESlSnAKA7rT6dQQCJR/jbjRF8Zo7WgmfNpbdj8DWmO6Dq39anz8dpIv1UplBalUCqPhCADDeCz82i5bPtVAJbD4CKTQR5h0Rl8czwJWSM2lv59qIfkaxu+owsU59PEYw8FQAQbPE0me6IyNvRldx0G73UYmnUa/L55pNBpIZ9JKrSwWnS+ded4c4/EI3V4XZ+fnODw6RKNRR6/Xlb4Swk9GzwBLcR30I4iUXl63u4fZ6Dk3l/dkMkGv18NgICKJzuYzOQI+AlFzYdiOAd0PxP7eLjZuBVRSV+vGiCkKrAcy4S2eS786ul9vL7TxjCGZSCpJWR1PDfEx0ddo8Dhy0J/FJl6ezuisUyeAfxKhUCigVCojm80pJ206qs05V3mZhO+BSJxZk4yp1Wqh2Wwpn5FYzJXHTCvY2NhAuVSWOYXisM0d5rALJEJM1t7b+ujHXBeZbBaFfB6VSgXFYhGZTAZxdWxeatS4J2zt3I4aqtVtMYwwomxIsjDkIWNO9Hmxr4f11/aNAGDOk/zxpEaL8+BC9sdK9CuM5vhARrxLaBz84GnC5CuCQyYSCaTTItZRoSBC9ZdKRWRlpGTHYWIveADgqVMdlCyw2xU+b5yL9VXIF7C6uoq9/X1srK+jVCwiFnNxelrEaDTEYDhAMplAqVRCNpuVPg4mbQ3uc5+y0zjRWp/JFAbD4VCYumYzqQQL+nwprSVUdaFzQiYXg9Iv0N4vM/9hzwa0RdY9jLR93E+cybnw2/O4p3ybfJO6EzmGBu/SwFoAjLEIgGbIh+FHoslhm/yX1Bz9VQz49jTlacAJPUdIVSH+kLp8mhAkGhRfQmwSR52cmEgHy5XVFZGxWGkAfMl5PvcwHA4wmUzRbDVVGvRMJoN2p41Sv6QccGNuXDk2dToiedejR49EIsWHD9FsNOC6LkrlMjLpNOLxhCD2yqNftDUWi2FrawurqyuS2TB1Lt4+rhyl0mQQsQxGoxFGMnkbmJ/JlHNPbXxBbzUiLmmSAgL6ZrWI/bIq1bD2XV4ZebkSk1EbS+USqusiN1MmKyJi6jEoYGlMVBtZeCRa3bFZNxd5nodBv4/zszM0mk2VCFKvj8Lou64IUKhOO0GMx2w6w3A4wKODR6jVavjzP/tznJzU8O6776Lf66PRaKj1S6VQKOD69eu4eeOG0KZsbqBULiHmiizgZNKhdopp1x0mmfEdY8xwoKa9k81kkJO+CJlsRiV3MxiNQhR2fI3FAGKZ8rQ0ZFF9jDGl9aKs50OZj2ZMTsNzL7AGwtpF40fDzeAf593e3sbKygq+8Ne+iNXVVezs7iKTyaBcKiEe96OLJhLi73KlJEG15ujOhNm72+3i+PgYR0eHOD4+Rq/XBwNDZaWCfL6AL3zhr+HatWv4/Oc/h431deRlBNrRaCidoYdgDsPqqgBLuVzOCGpoj7UPZH3zp6eBcgoB4DiOoKvjsTBVWMfFl5oTE5o8VVmkZXvWQjRjNBphPBYJaumYfiweR7lcVifFwpzt7RQyykHrWda2ZcakxKcUbwXAUx1R/qkGKs+bmBh1X/ju8Lb4zEY42ZLviIgYmsTKyooMbCUXl2Q+85nYhM2mSG3f6XbgeSILL518EL4AnoHEhTpZZO+s1+s4OTlBu93GZDIRp4hiMSGRpjPI5/NIJhOqd0ID4GBtbQ3lcllFNgWz7LwhiBpWG3StkBGLJnTRkkRsDbQFTqLU+QGdiJJymapQAR9bbWnNn5KwTT56cbFNu46fmyiTySCRTKix9DwvYhwuLmGSDI3xcDRCr9fDcCDMMmE5T+hvTz/FIq+L47IzdDodNBoNHB4eolY7lY7eY+OYNb2bjs5ns1kRpyOdDjhGinf6AxVOvE1tit5GMBFHKC5NGiIukMUQlhwv7QtrqV2gQVuCtkSZEBbVofxKtL1CP/O5APW6FnOZQoCFhKxcNodyqYztnW1sbGxgf38fmUwWxUJBOtVSYDwRcyqZpBM/2slK2c7xeIR2uy1jA/UxlxHBc7kcKpUyNjZFHqKtzU2sr60hk0mreFSk5QWAdCaFeFyPhxI2vkGiYPrieOq0jh0ZOMr0FlSo2toU+h0EOVF0L2pt2PcvDZz07y1Lt3JYlXu91+tJ+pJUqQUoJID9vsg1zLlOIGVjg++3LzHGzBOfoNNODPFEAmDy1Nii0BER5acaqDxr0VXpge9AAFRulEsRDq78B5JJce7/M595HdevX5MxSxLIyngppNYbj8RR0HffexcnJyf4X//rf6PT6aDZbCivfrJR6qYRz/NwelrDO++8i7fffhvvvPMO+n2RcvzWrVvY2dnBrdu3sbG+jmq1qrJf6tFrXVec2CmXysqznha5bkrQi6la9FX5dGSNooXazFFxsmih0QAptgpffgh95qlEI71rT/E8xdpwHBeJhIO8NFdQkjqRPFFEN/ZgSiO2GUE3AdE1FeNFOzLfarVQr9dx55NP8N577+Pg4AD1eh2j4Ugxe8aEvXgwGKJer6NYLKLb7SIjUx04XKy70XiE+/fv4+DgAHfv3UO/11dmq2KhKFICtNrCIXI2xXQ2VSZMAEotT9MTjPpqnfQC3UcSoGARs+kMs6lg1uBcBZWKxXyTEpnQDFUCcDEIDJEkf5hCjvFqi4GQZmAqme14PFY/ExlbaRmQ4ieddDCX8VkcJkIarK+vY39/H7du3cbW1ha2trZE+omYq5kA4CfaZMLUwKT0wCGCWw6HQxyfHOODDz/AgwcPUKvVAAasVlfxyiu3cfPmTXzxi1/A9WvXsbW5iVw265t1VJaAPABAHDyJ1oiKfhMt5j4tkWEdKDElOX2T2UcPeLgYONpS0aKrz1czcumiPAvEOu/JI+HHJydotVsol8vKB07X/puO6qJEgxUsRe8CJjX5qPAxE+swHvdQqVRk1nUW0MQvU/5KAJVFEn/U4o1a3EqakT88cE/wOZ352MV1hfNauVxGJpNBqVSW2ZLz6piX5wmg0uv1cHZ+jvl8jmw2q6QRInBRbR2Nxmi3hfnn/PxcSVblchnb29vY39vD1tYWqqtVlTRQj83gSUmcJFc9X1BYWUTkOQTz4rp92G+wCThs5K/NTagGxVeDWO0B7F0X0JRc2HbzfiVh2bfbfaD2yiBx5NgoIuq62tHXcOn6MoWYXL8vzDLndTHfvV5PaNtgntYSR1dnKm7PeDxWPlJ0bFIHQY4jwokXS0U4zEHMiYlcTMMRJhNxrJV7FPFX1xL5Tp6c60fzqeWmhGx+J8psNtdMZHwJW104SDFMTLbNL2TuImtfCiyEnJoIuceuV/gdyOjWnqZBiRAI6Dm/LqtODcSS1otOxqifRAIUyJD2hiNPxXmcgmcyNWwUnI6iA/f6fYzHY8RiIm7OysoK1tbWUClXVIZwva8+EHXBmG4ODI5RFK0hoDKbCkFtZvti0dhZdYUDoucPTH9YYMZoKfVFEwbVz7O+SAcrXP+wYLSYfiIO0kGeIR5PIBYT40GnSi9T/koAlaeVjhZpVFTdCJEEFI0MJyy6zbBQyCOXEycl5nNPZTY2MmwCwhs+7mK1uorBcIBMNoP+oA/mOoDD4LgMTEamJbuJUB1PFeNqtVrodNrY2NhEtVrF7du38frrr+PatWuoVCpIxBPqKB9jftA7Sq5I7aGsonQtGOMkOI5EaEml7VCEUq4xFA4/MZKt7gzVBFsXl5QCjPsvU5Yx/9iMRx7Ng+aATKcu4jFhthBSjzh2K4ZAjIuYA19zBcAAifa6Ho1GaDab+OSTT/DOO+/gg/c/xIcffoherwc3FhP24mQSw+FIxjeYwuM9nNROEE/EcX5+LjLUlsvKBymXy+HFF19EpbKCdDoDzxP5e7gnHOQODg7w3e9+B81mE6PayACTmt7xwuJr6MQzIoOvWM/T2RzdbleaFwSgchjDdOyfkDGZ+TIaFLsBvob0eWpTlgEr4rWi/Ya5ApBaIwEs3Fgs3LExWBs494HrbCZ+6BRRt9tFo9FA7eQYDmNIJZNIy8iijuMgniDa4wcw1HoEQJgbyJx8eHiIVquJ6XSCnZ0dbG9v4zOfeQMvvfQSVlYqcF1HHHXuMiSTCXmEWKS+8DOR63TUB7MmSBGnmCjp5nA4FAEGm000Gg30uiKgIQUf8ywBMWzf2Fh12fIj0bgpdB/+tRuLwQWwsbGBldVV7O3tYTKdqPAHqXQasZjMUA8ZW0jjVZcDUkz7V2+iFaAypEoGhkQirrr0Vx6oXKQNsZ2JlilhWgqtwuD9gPLGXtRGUtsDFEZbMCA/5boJDgi8qAiA8Zg8QmoianF6xm8r2WuFI56IZ5FMJmViM5HcTCT0ctUJEVIV6mDJX4i+FmnZ/BCXLvbYMfvjAjNO6LCH3HzR9C/6Xo9Gy/1LEW8y1iPNu1B/a9KP48ikmRe0Cybz02304/EYnU5H+CIdn6DVElGOY/EYiomiUocz1lGJ14g5ziSAnCvNHFdroFgsgjGG4XAPnHPlHDcainw76XRanvQI+gsENSQ+mlyswNA0klJ6J/PmbDaDw8jxVFPvW5K3odg31pRGUBkPuTvqOXMOli3L3Bvmv0LOr/TjSg2cTceCjMeuC4qJcM4xGIp8U+fndbiuALDpTAYZydiSqSRc11Ga1VjclT4r/js8mUJhLHMuTScT5dNGzrgAMBgOBGCSsXTS0rmTfLTS6ZT03SK/GFPoMc0U/g+gOdBS1mbtGHeUBips3AjYGWMWcvolbJ5+mIXp6zTse9mWeCKhAK2efsN1nMBpwovqunQJHWNLs8f8U3MKMF2y/FQBlR9lUeTWRqg8PESw7bNB9xPTEadt9LrM52kTp9MpZLKUhTilHefT3gVIQj5Vkmiv1wXnwgt7Y2Md169fQ7lcRiKRxGg0Bvda0kQwRTolzD/lcln5IwAi6BYYAygugXbKhBgUgEDcAvU384/h6tdEmyMWb9iiXsjcfliE5NnqNZm2n+PJcV04MQFCY3HfgTrs1A8V3ZQo8qwI6fL4+Bjvvfsu3n33XXznO9/B3POQy+VwTYZCH46EU+3HH38iQ5yLY8WZTAbZbBapdFoxGTpVkUgkcP36dcznc7zwwosCvLguRsMR6vU6GAPeeedtBVQoeNd4PMZgONByCzGLMVAIeLN/uvlC+eVwT6zjXk8dOwXn6HZ7aLfbKBWL4sijlZiOAFcApPh3hK67RabiH3ZxZNRm8gUrlUoolUooFArq+K4e8G9Re4lmiEBrIqrtfD7Ho0cHqNcbGE8mKBaL2N3dQzabRbW6ilQyiUKxgFQqKX0dMtjc3BDpL1IUTFLEWOp1RU6fVquF/mCA6VT4PHU6Hdy7dxedTlv5RI1HI3hzTx1VL5VKSKfT2NnZRi6Xxc7ODlKpZCAzu96XqDmhXD/0TBAkW3RIFuXvxcIEnx8mLXnORfaTAK1vrZFmL4+LfD6MK0doAOGC9mXXvhRe1a4lrYrNA5/RCvapBiqL/CTCrl907bJqWvkh7A6jzouKv5HMOoTEGSId6bZCjenbr6K4KyKs+VihbcdxEYvFVS6QoTzO1263MJlMkM/lkUoJSSeTySiCZxBHQJzrv2yxCKzfEa2vlgZiGYuL/1hQ4/Us5MaMymO/i24SZiuO6PmmtaVim5ApyPHDyivgtqDB9vr0PM+PY9FsolaroV5voNPpiJM3+RzW1tawt7engEq93hBHxWXW5nQ6I0K0U4ZiLRCW4zgqK7FQ2QqgEnNjGI5GRqI8ocGbYzyZYDz2659rWjq9DzYjEeDE92dRffY8TLRAaBSTYTKdyNNuUzWenOaKTEDGu0jRzwwp71nKIjX6MtoYnTEYgJ75YeFVdFo3eMx0UVFAJZlEKp1SGpLRSARBOzk5QbfbxWw2QzqdQavVRDKZQD6fRzqdxvp6FeVyCdlsRkT/TcQNOmNoz6RGrt/vodlsIpFIYDgcquy64/EY3twTMVpkNuhMJgPAk5mhSwC4oY0JG0/RdzGupPWJy4jOlBWa6XtJPBiYK3NuTFASRjUWzeVlTCjhGjC/Lr29gXf5Nwaet4VmVccCtSU9Y9e1rP+Vqp9zkYdI+55osbGPIywdy5SfWqDytPWFLWaboOpxL0zbuFnCCYppc5WA1Phef6eQPJl6bjqTpyu0nB3k2a0HMOKcqySHjUYDjUZDJTqkU0L379/D4eET1Osiqdz52RnG4xHW19ZRLBbx8z//81hfX8f169eRTqVUQ+lYMR12Jc2KTUR1Bz4iZmrMLPWsIizWmHP9eOFlpdzFtoVnK4opaoVFSyQ0T2SeEZFcJyqrdCwmHWzlhvfAF8aYozGdTqfyhM8dfPjhh/j2t7+N45MaWjIlwksvvoQv/ezP4o3PfEao6idjAAwpqXIfDAbY2d3B3t6eOIZeqYhM1HQ0nnPFOFxX+Ei4rsienEqlkEiKKLaMMem30MVprYaTWg0nJydYXV3B6uqKShNAmpSwAHai+Kd9xH1izdPRSxGLRwCgXreHbreLwWCg8tYYJwrITKHHHZGM7nmAlOdRokw+ZPahKMZpqe1aLteM+J2UR1Sr1Sq2trZwfHyM0WiEbreH2awlHesdlTU9LjV68YR4742bN7C/v4//7xf/DjY2N3Hr9i1lenYcVwEh13XVHN25cwd37tyVpwf9VBCeNP1Qmo10Oo1MJoPX33gdm5ubKgyC7iujF/u0WyzmqqPOlZUKVldXUSgU1HF4SlIK+LQ8FCD8iJfB5bQVuJQmQjepKA5DWmwAdNTqeZBE38mbXkbWAf978croVCCXKZ9qoELlsoMQtlh0M8xFdSvVOy5eR7r0EayPVOJhT1LAJvGW6XSG0XiEfr+PvkxrP5vNFKEgPxcl8TDNK56O60mptNfro9lsotvtwnUdAWL6AzSbDUzGE8ymM3S7XRwdHYFzjnK5jGk2i7TUsvhZm4NENmxML1UsgMgCm8+XfqJqNoAlBzhC2mERgbC2G/eqBiyWPGgN6QxYT0w2Ho9FmvvhSGWnNgIyRQAyeyzoPZPJBIP+AOfn56g36mi1WphMxsoRtrJSQbFURKFQwGg0QnwSRyqV9B16tVTtcen7ZIBCrf261Kb72ujtpfgtusbGPCIqxlCfI8KrfjVkPqXNQxFIpUbK89MBTOU+CD+2K0GJsa9DVPrWuNrzGTXXy5bL7APdv8eTOVFMSXVZgUg44GezWaysrGB9fR2rq6uYSF+S0WisCd0iJ9h8PAfAwQdiXZ2dnSGbyaDZbCKbzapAj4lEQi5TR8VXsU12VMi3hssTjMPBQB0bnkwmqJ3UwBhDq9VCJpNRmYoXRVWlPhNQisXi6iRdzKCH/voM0BL6rCvadNqyJNmK0kRE8ZhlytIUkwQ7FoTdauwuqk9vU1j7LhgIX0cZsqcieOmigIVR5acCqFy22KAkjDFGaWt0fwyuE0fFuKMnNnzDwXjGqJ9z5STWarfR6XTx6NFDPHlyiHq9jl6/j2QqhXQmY0lcPorV4wyQVHr//j2cn58p8DKZTDCfzZRK/eDgQKlgt7a2MJlMsLKygu2tLaTTaZSKJZl+PuabV0IYvc6MlLxMp4psyVCogUJty+ZmWbBxLPARNC1E3H8RZQjZywKohq8PxdgZU6eoZnMxj41GA48fP8bZ2SlarSYAqEB6BDT19umBpqhOumc2k4Dy+AjvvfceHjy4j8OjI6SSKayvreHa/j5u3bqFzc1N5HI5lSWV8gslEgl4nqcFZ0uJNeS6xpi7JBVzzSnOFN5BprvxeIJ2u412u41Op2047fr9MI/L0l7kHIo5iyC9DLFY3ACctKYHgwH6gz56EvTNpjN4CTotw3yME7XnGCJB4fMuy4IUzjmmkwnGozGGw5E6Lk5AjAImEoOOqpf6XCqVkMvl8fnPfx47OztwHAcHBwe4f/8+ut2uDCAHQDqmjkbC/0do/EY4PjqGwxzcu3cfHMCNmzeRy+eQTKXApWYt5sY081RCJImUwSPT6YwMu5CWYHOORw8fotPp4Pz8HP1BHx9/8jHO6+f47Gc/A8/zcOPGDaVNorEj7aE9npRdO5GIK/pH/jjJZFJk1NaORduM0qf3LECHL1vCBNxn9nNaRgpmLGiCp+uA+I6+l5GvxT32uy4v7Kvs6obAJz5TOAY7ASGt4cuWTz1Quci2tmgzRwERk3gG7zFACkmaCF9X4SBVl/BMZ1z9x/M8DIdDjEZjHB4eotls4eDgMWq1GiaTCRzGUKlUUCmXJYFIRaqGqT4CLoPBQGzyeBzZTAau4yrpt9vtykBxp5jP51hZWUGz2YQ3nyOfF/FdkskUsjHXsHOG9e/CzRrQdIQr5bn272K1/bJSi7VhF02i9Z0BcHWww4MaFSXHy/EXeXOG0ndo8lTSBa0P8jHqtNtoNOsqdHihUMDG5gY2NsUxdBU8UAO+uvmStBS6OTPKfBWmhSLtIg0SZVAmbWBY+/1+iGcWM11pDmGmlM0903GSc2qTnwtFXyt6S2yR4qJ1ehEoWFQuw7TINDufz3ytkfyZzWdaX8332tpgziF90RgKhQJmsxmuXbumjiIP+gPMZnMFuGezmTQP93FwcKC0sKPREJ1OV5ndEtJfSbxTOF2TVjCVSgl6VFlBtVpFoVBEpVJGOp0BuABaDECz2VQxWOg9w+FIgdqwPbHYr8PXsDLGZL6itEqi6FjP2qYgg16JC6FztkiDelEJ16gHC2N+EkHxAFS7uH+Tfz/Vr2swNBoaeBupLjUBjVvvooovMo9GfWvHlnpWsw/wKQcqUQMQpoKLkvjDFqStIqSNo0cBnROR51xpB2wp2zz9Ypp4FhEuzikGygynp2doNJr4v//3/+Lk5ARvff/7wnQwGqJQKODVV17BtWvXsLu7i0pF5AnSbZW6mt5nlOLI4O7OjkgYtruHUqmkckZ8//vfR6PRwEc/+AEYY3j06BFKxSLeeOMNrK+v42/+zZ8TIfVT8oRISJ/0aKFh487kPfYokP+LknpwCTlHEVBAivjLPrlckZvXYBS66jhkg5IFg0Bir9dXydt0E55oNzPGB2DCVwX+eBJjnk6n6HY6eHxwgIePHuL+vfsYT8bI5XJ44cUX8MUvfhEvv/wyXn7pZWSyWaRSSczqwo+AMh1PpkKjRn4fBJ7IR0Dvjm84MQku86kddEpnrvugmdDefwRIxN9MBhvz95R+RFftQ246JptA1gcr2vRJzaemVfkhlSjGtHDfeyJvC83PaDREfzBAr9eT5sKhMr/YGgf9h6470lF7fX0d5XIZK5WKDO43lABBOiFDxOD5+OMfoFar4X//7/+NZrOJ4+MjtNttHB8fIZ/PodFowJE+IQBU0EKAqeSGr7zyCl566SXcvv0KdnZ2UCgUkEwmMZeg6+2338bJ8TH++I//GKenp3jy5InU4nTR7fa0VCDhps6IwVY+EQCQz+dRrVZRLBREhnLp7K1AudTwqXhR2rxwbc6ieMeyxQZGdrnQPMR5AGkw26Si17FsuAgNrESN6YU+XFz9gyDho9cEA50SL7ps+VQDlWWKjZzp2qL7l/2OkG/YZOi/o0qU1MoYk9LMCMfHJzg9PcXDhw9Rq9VwdnaG2XyGQqGAYrGInZ0dbGxsIp/PI6WODwZNBnrd6XRaPbuzvaMCvg0GAwyHQxwdHcHzRFK78XiMs7MzjIZDrK+vKwfMTCYT2NBhxEX7YAJAmAuZQ9NMhUkyGsLnigktLkG5I2J+NXHF0LRw8xaoS+F1XKS9E4RyrlT5YXlIyPFJRawNIVSci4Bbg6EIf99sNNHpdgBAhupPIJsRycCY4+dZGo2G6Pf7GPQHwgFVgpV+vy+Ak8wTkk6nhblHOWeb2j+aDz+CqRYk0HFEkCnbwVutwyCiMzRQigA6/jvBAoEI6Z2GL4KhJfPBij60gWnTh/4Smo+oEmZSXrZwwGCmJKxMKdfPbA49J5PxLA+LayRAGZk/cvk8ksmkCtzna1QEUGm1GvDkkfbRaARxRB3Kz80HhCbKY4wp37VcLodSqYQV6eCayWRk3B1Rx9bmFuIy0SkA1Ot1Gf/DzM8TJkSGgRUCrCogYiyGlMqnJbKUM21cnkUzZj8fBZ6W4TPLlkWaMwLeUVpoHdD4dEveq9UR2koJZi5IGh/SxnCeZvOgy5afeqCyTDGlusUM15ekuQFSOOfCBsjDQzT7k8kDdeqFiL1weG3h+9//Pg4ODvDnf/7nOK/XUW/UkclkcOPGDVy7dg1f+MIXUK1WUa2uiRMPREjkCtSZJKlo6bjql770Jm7fuoUXXngBKysrKkV7s9lEKpVCrVbDoN1GvdEQBC6TwWg8RqPRQDKVvPxGVKKsBVIiJIeFoHGpkxuL9TG6VkTNh2EPiKpT/023LganuiZkOvUdQGm+VRA4EBsIV97SuAwGA3Ha5+5dAWJPashms6jIpJb5fB6JeEK9k3OOVquF07Mazs7PUK/X0el2MJ1OUavVEI/HUTs9BXMc5HM5Hxho46Q0dfK3580BBkPbEY/HlJ9AKpVSJ0lovP0pZRfOsQL8jqMCWhEAisViiMfiSMQT/ikPLY8QwRRDyyPbzrR1KNpFS/PZQUpU0WnMImY59zwVwGxC2i75Q0Eb5/OYoa3VTSVC2wQAHK4rVhL5kCQSCWmy1oGNqGM0HsHzZkin01hbW8NsNkNcOlZPJhNMplPM5sLB19fuiX3rMEc5ZZfLZWxtbWFnZwe7u7tqHVEY/2Q8gU5XJLmsVCqo1WpqT4zHvlYvUtI3aKsAvvOZcMx1HEes/UIB5VIZuWxWhFmwtLv672VNN4u07suUZd9jFNJ4cB4AE+r9USRO51P+U+oR/9MCsPJUxWyQvub9rf9XHKhEIe5lFpWtEVmkFSGTT0gDQichCnH6l7lxbT730O/10W63cHZ2htPTU/T7fUylWj4jndTK5TLy+bwIBBWP+Q52zG+nsm/LrKZkR97c3MTaWhUrq6vIyFTcIq4BUCwWUSwW1ZHS0WgUGBsbvC2y5y6FopmuSSH1xuI6w9T65gj742vP1kXrJNheC0yRCpZR/8z2Gm0F6QX8sfA1Ag5iUivgLhkjg+Z1NBqh0+moPCuO66Lf76Nerws/A5koUNjq43hy+ARHR0dotZrKBDSbzXB+fgbXdXB0eAjOOaqrq3CYiJfCbCldB1OyL0qr4ThIUNTjfA65XA5JefRaATHmAKD4CjpRo1r1vcAVeDO0NjJ+RiKRQCLpAxW/rSZM0dX6+pw8z3IZxnWh1lYDhnZkWhUoUAucSM/5ZmoCMByMWf4ecq0yLudCNpvABh0/1vN90aka8vkQ1TjqiDIg3qU0QNOZys1Ea5rM46lUCrPZHNlsDhmp9RPdZQpAXWachUZI+EQJzYrURM1FAksybYXWYdH4ME3Ys4LXRcXWSKt30ve6UtUCuj69CqFLMD8vBcTCG7gQVNjVKm2bHaPIoss/kRqVf/2v/zW+/vWv49d+7dfwW7/1WwCEmvE3fuM38Ad/8AcYj8f4xV/8Rfzu7/4u1tfXf9jNAbB4MyxmVqLYkQ+1B2ACkYuYn9kekjjn8znOz89xdHiE+/fv49GjR+h0OphMJijk8lhZWcHuzg52dnak01pB+RXongWz+Uw5447HE7huDPlCAXt7e3j11Vdx4+ZN7OzuIJ/Li6OpMkT/+vo6er0e8vk8er2ecrz1pVmRP8L2M9Al56VLBIjh9icOw0mLc/0EClvOl0UJGc8mPyg7sSJ0CJHSbY2LYAZktlApEeJxJBJxxClEOvWD1k6IGpkC+fW6XZydnqJRr4vIoNJR9t69e+CcY+twC5ubm+IERDyOBw8f4qRWw+PHj3F+foZer6fuPz8/R2Wlgmazga3NDTCIWBciRUPoIACA8pdwYyKlQzaXw9r6OqrVNaysriJfKKjggYK5BeMT2WNrMizxOybrp+OoqXQa6UxaRtRNCaB+ge1bB7MhXfmJKGSKoTWSTCaRkqdYCJTZx3fVcxKoiH3ogmLWUAmaxzTaA45EIolkMoV0Oi3nLIZYPC5OFWayAlgkUwAESBFgRsTY8Z1vRUh98neLxWKIyXXMOJDJZOE4LkqlMtrtjnC0RVDwWXqsqN9cHlufi8MCo+EIE6m55JaJVcUVkdeYVWdUOy4Szn5oRetnlO/fU1WLywD2JbXTgAlStLJI+L+o/FCByne+8x38+3//7/HGG28Y13/9138df/RHf4Q//MM/RLFYxFe/+lX80i/9Ev7sz/7sUvVHmVhsm5j9Hf2t13PRey66L0qjEIWao54Vm32MRqOJs7NzdDsi0VYqlUImk8G1a9ewtraG69euY3NrExkKkMRClgcnUDWH580Rj8eRd/MoFkuoVCrI5fMycZVUzzM/twtpazqdDjqdDmKxGHI5ISWTpsUe07A+RoEQQzOjGLJGGJhNKLghPDAwGRL6ApAT0JwEbg8vUlsSWbNG7xcB0EgCrKt0hQabYJf494I1SXl55vO50u5NpyIB5dnZGRgTsSmOjo4UUKmdnqLVbqHRaEjHzInQ3vV7YEycxsjlchjKU0mcz6H7iqh2y0LJFMknhaLY5vN55At5EYBLheQ3JTsf1Mra5VFH/8gs3RfsO+WTSSZTYi3KwGK+OpxLUBsNiPxCBNhWiF+uPA9/BFWPZEgUcTVfKCCXy4lcPCHRaW0ThnBIpfw3ntKOKM2TBCyOpoHiXMT4GZOZaTyR69dBIp5AUmpZYkaEYfEsY470gRqh2WyhdlpTph1KkAcphI3HYwz6wqG81WyJtTYZa+MXIbhE0BmdvnrzOaaTCfr9HtqdNgaDPkbjEebacWRxr+azAlKOhoPmMO0xfRc152FgJwqcUz1KexgmdPnKW+M+453+C+UjjB7wl7etbAnZ03q7jNq1/GaL+mu0JUTDrYS6S5YfGlDp9Xr4B//gH+A//If/gH/1r/6Vut5ut/Ef/+N/xO///u/jb/2tvwUA+L3f+z3cvn0b3/72t/GlL30pUNd4LELAU+l0hONg2ITZeTD0chk7ow0w7N/qHYE28EhnMOM58XCA4IxGY/R6PRwdH+Hx48doNBro9/rI5XLI5/P44he/iM3NTXzmM5+RYEJqU5jp+MjA1KkI+kmlUkgmU1hbW8PW1pbM5ZEVdmTZjgQSWF1dxWg0wsrKCnq9HhqNBmKxGCrlsjoKnUqnDQnuIvMO1/4jc4kj32snqQrOny/16VeW80xfXBZumtDnfQBjgJQLNp/yxdGdhhVYkUiFh2/kMDPVfD7HnBKxSUI8mQjH2F6vh+PjYxUAi7Rl48lYxCCR+XI8efqh1WphNBqhdlJDIp5At9tBoZDH3Jsjhhgc+IRdsRPGlFZI/Lgy5UIa5UoFKysrWFlZEevLdQMaSD3ej+gT5HrSnb99Hwox3mRqiiEeTyCbzSjgrMxmEvyRVmp5kLKYOf4oCud+xGZHM6OtrqygUqmgUCggnogHMqvb7RQxk/oyL9JU5tcRwd9IC8KYFmgQDN6cY9AXJ4x63Z48GcjhMAfpdAapVAbJZArxeEJqIXx66LouplNxou2kdoJUOoXdnV2USiUBJGMJRSu63S46nQ5qJyJycbvdEYLU3IyrEzU+YVokoimz2Uw6BbcACF7T6/fVKSLla+W4eqXyvcsJlZcpF4EUvQ96/4z3s0sIV3oxqhBCnfm1rl2jl0S9KBqkXKpJz1DHDw2ofOUrX8Hf/bt/F1/+8pcNoPK9730P0+kUX/7yl9W1W7duYW9vD9/61rdCgco3vvEN/OZv/mbgehTaXXRP2Pf288uYbHS0rZ9wcJgj/RF8e3z4AoX2HVMOlifHJ6g36jg4eIwnTw4xmUzgxmLYWN/AysoKrl+/gfX1dVRXq8jmsr66W9cAcMnUuQYIDIdGL7BBPABc2pnVhoWwk5NHP4W9Jo2KfvJiqc2tz4V9u9IuhIzVBdX6p4DItqPJyApPEmENe/nFxMluw0Ug115L5FNCzoLkTCvayowYIcG2yelVdEXmgUnEkclmkM1mZOTQiTTxuYqZMeaH2p9Nhc8K9zwwMGlqYigWizLU+ipWV1f8MOZyLQeOJDMzbxExAopams1mkUqmAicugozABgjMEDRE+8U3euwXQCTxpLQDdh4hv34WIi2b77ShL10hULRI/R98X1Q/zbLM2uGcw3UcoZ2SfmipVCqUntE1Op1zenqKo6NjnJ2dodPpIJ8X5rdyuYxUKoVUSmhR6ehuPJ7AZDJBo9lEqy2CvU2mU0XbyNxEMVPouu40TWC03Wrj8PAQ9x88QCwWB/c4hqtDMZYex/HxMVrNFh4/fozj42MMhyL2jw+AI4cmML5qvCieDhf+KMIUJGka3QNNeweNN4fMja29idLw2HP5NFq1SBCjNVDtQaV5Dn+fVHCZtFDdHtTAMOPBKLi+sPXBSwvlPglvnwKw/FCAyh/8wR/grbfewne+853AdycnJ0gkEiiVSsb19fV1nJychNb39a9/HV/72tfU506ng93d3dB7l0XD9oKkojOZqDr1xas7vLkKEDC1qXXCI54jhsRVFE7OPQyHIn7CwcEBjo6OcPfOXTw5fIKRtPPu7O5ia3MLt27dQrVaxcaGyGjqa/j8ZUYRPDm4ASbAmDrK58kTSoCIOAoZxI6Yjt5P8l3J5nLIZkXkyVQyZTj2ifdGDbb5HUlkxiaHtvHCNnzoLiLpmYJ7mbdrOsjoKpYu9sbXygVrTo9fI3yGZCTVuTwlBh986MfKTbBsvs51BSjI5YWmrVDMYzKeIB4fq7rMcOy+YzX3uMw4KwD2SmUF5XIZm5ub2NjYQDabVVGOqS36lPjr1wcqpFlLJlMqqR3legnbU8H6qF+uJf0ygHEVAI2iWsalb49w8JSpI+xxk7gjiikFy8UrZBkh5lmK7v/muK5wbJfZk9PpTGRARwKkk8kER0dH+OCDD3D37l2cnNRQLIoEgJubIoxBoVBUJ3SSySSy2Rym0ynOzs5E0LfhEJPxxAAk8Vhc0S+HOSrAGwkvFFCwXq+j1+uhVCyLOgAMBgPEXPH9nU/u4Pz8HPfu3UOtVkOv35dhFYIJ7KI0EPbfnudhPpupKKiK/skfT6O1UYVzkyeEmZmeVwnVCoVoVXSMwZwgrSQzUaAvCDeJW60IufJ0fVX7S2k+5U7S59P6fdny3IHK48eP8Wu/9mv4n//zfyKVSj2XOikksl3CCWD4UIQRl8ssQiIESu0uCabjOCGaBt8O7P/oWhS/zvF4gul0gsePH6N+Xsf33noLTx4/xv3791Gv1+FxLuz80sN+Im289UZdEXXXdeVR0DiS6ZSQhB1xLJGSmmUyGZFnptdDvdHA8fExKpUKsrkckokkYq6L0WiMkYyjcvD4AOf1Onp9EVujUCigurqKlZUVI3GYblf1zWHaoreGmEMAI19tK5/T5k03p3AukvMJ1aXp2GlK5tYmIPFCa4Ihu8sPPjaywales/kFC7tu3GISImHSGwlVdLeHfq+vgrw5UvtBWjnm2McvzfYJ4Ogil8thba2KV155BWvVKkqlkkqHwJjQ0FBgwulkgqmUtNvttkpQKaTrFG7cuIGN9XXcvn0bGxsbWF1ZQT6XE2Bn7qHb60oH3olqw3A4Qr1+ruocDofgnPuZnFsi6d1sNsV4NFKmnrRKGufPiM5EQiVVj8sjsiJAnXjG05i6D6r9NSnWy9KSujXki6RjHawohrEEErroPqItpBkhDRWFhidfE+ont/aMrj11HAeDvjjCXqudgnsc94r3hA9RLo9EIoFypYJUMoVCsQDP4zg8PESr1UK9XsdoNEI2k5XRZVdQKBaRSCQkzRHmk2QyhVKpjO2tbdRqpzg6OlIn0e7fv6/821YqK4jHYwAHDg4O0G51BEjp9ZHP5VEo5LG6WkWlvKLSSVw0B/r4k3aPtAixWFyCq5gyb/lH18Xu5VLCs5lzmFCqv+dp5nURv9G1nvY1Zt0nWu8LXbJhfrfkF1EAZnGREq9FSw2ti918XQKQzzI1rgghoj6QvGx57kDle9/7Hk5PT/G5z31OXZvP5/iTP/kT/PZv/zb+x//4H5hMJmi1WoZWpVarYWNj46neuSxYoXJZlGwv1tlsjvlsLgik46ggWSk986ehfvYXsiDKflTE6XSCfn+AxwePcXBwgLe+9xYePnyIBw8fYjAYoFQsIR6LK8dFSmpXr9fhOMKJLRaLyYBvKXX6Iu6KzZrL5RRYGY1G6tnjkxNsbW2jXK7AyTE4yaT6/ujoCAcHj1Fv1NHt9VAqllAqlbBarWJFMw3YJh/d9BJGBAwpxwYr2lirOjnXq9PmIzgv4cXXVphTLpnYgmXCAztVSPaBG5aQrjnnKmtyr9vFoN/HTMY2cR0/A63I+Br0HiVznXiHuD+Xy2JtbQ2vvvIKOp0Otra2FINjENoSMpWQFueTO3dwdHSkNCuU4+fG9evY39/HK7dvo1qtYmVlRcyvTKvQ7XbFKaNeX431cDjE6ekpTk9rKhs0IHLV9Lo9tJotnJ+dYTqZYDgYSP+GuDJL0b7QfVKorzZh51xoCshkZmsqFbhxKIeUxsDNSfTfE/greu70EsbIFvkg2M9cxNR0oEKaTJW7RjsyrAQES/upA5bBYIBGvYGTkxp6vZ4yT2cyGcTjCVQqFWESqlTAmHC+Hskggg5jKJVKKBYKWFlZQbFYRDyegOvGZCwVF6lUGuVSGdvbO3hyeIhKpYLDw0MFVJ48eYKT4xMZ00doZGonNQwGIjouY0C1uipC7q9WVXv0DNi2uTFsboRmzwessVgMiWRS5bRyHAfM9fPSkGDk6LRmyRK2Hp6F3+h5wfT7Da1OlIY55JISokIAf3gVREzpk31/tCaZAWbofrpoC6cXSXZLlOcOVP723/7beO+994xrv/Irv4Jbt27hn/7Tf4rd3V3E43F885vfxC//8i8DAD7++GMcHBzgzTfffOb3B00tT6vOCj43n1Po8i468jTOfCacVDPpNNK67wbTj5Hps+cTNc6BTruDeqOBO3fu4JNP7uDBgwc4Pj7GeDQG9zj60hns3ffew8OHD3Hw+EBKVzHFtEqlEm7fvo21tTXcun1bnA6QR5YrlQrW19exs7OD8Xgs7NeHhwDnSMTj6Pf72FhfRzaXRf38HO1OB3fu3sWjgwMMpSS8vb2Njc0NbG1tYXV1FfFEHI7rBEi8jfoXj6/4hzQIYVJHGBGwQYp9nxplFrq3VAkSl+XXia4JIiBE1/V+6J9HwyHarRY6nY5i/PqJHVWHaSSDUImbu5/i4QDAtWvXMB6PsbOzozFtycQ8SjY3wmg0Ri6fR6VSUQG10um0ilJcLpVQKpZQKBQVQ5xOp+j2uvjo449wfn6ODz74AcajkUgCOBM+N2dnZ3j8+AD9vjiSenp2itidGPr9Hh4/PhCnVTIZFPIFZLIZ3L79CjY2NrC2toZMJgPGBPgKU3+LvwW4n2jxgADpYD8SyTYn04mKbaS5SUZM3qWmeuliS9xh9CPM1Kx/p5vnptOpWuw++FhMz+g48/r6OsbjMc7P6+qI8WntFL1eD9PpDIPBEI4jEh66sRjO63UAwEQeWEjKk0av3L6N3b093Lx5E9XqGnK5rDhG70hnWs5QWVnBSy+/jG63i+FwqIAMHYA4OTnB+fk5Yq7wmRqPRuCco1QqI5vN4TOfeR3r62t48cUXUa2uqEi2NCbU/0VjS2MDaBGgNV87G66G8UxDOWDVbwPRRfMYrHfxffS9HlU4wLe0xhnAWPoh6n3ikMBm4XsvswGiUQYBIm5dWzJYxKXKcwcq+Xwer7322v/P3nvF2Jam5cHPCjvnXLtyndinu89MT0/D4Bkc+IXEhS1hybKFxMXYsmzJlozwSLbBAmEsGwQXNkJCY8EFAjlIliwj3+AL23gwYYYZho6nT6o6lWvnnPdea/0X75fW2mtX1Tl9eqan4Wudrqq9V/jiG543uT7jpcb553//7/99fOUrXxGe7P/kn/wT/KW/9Jd8HWmfpz0PsrJqA62C6YhgUtrp4XCI4XCI6ZTCO4PBIEIMRqcS6G4uSX4p7v6QJmljMByi1Wrh6OgYT548wdkZVUbmERFUrGuKJ0+ewDQNfPjwAQBHVFENh8Mol8uU8n40oiqpmoZ4PI5gIIh0Ko1cLoe1tTVcXFzAsixUq1UMh0MkEglWbn2KTCaDi4sLtNttHB0f4/T0VORBKJaK2NjYQKFQECGHKvTME7W5k/zA7dS1PNFSSPEIKytuEJryssbtJRzSX+VF7a5q9JTyIUSMjod4XUWQCJEYiLotlGXUWtZGlEaPXPal4iYBnrLc7dPhDjl1bIfl0ZmybKMBnJ6eot/vs+KSIcTjcSSTScQTCcRjMQRM0mhnFvnVHB4e4ujoCP/rf/1v9Hp9dDtdAOQnwyONOBLQarUwm83QbDRwcHCAWJT8mXL5PFKpFELMt4l8LiKu/qrzKabckcU0+T8AmM/mEmWZLwRCB2ZaXSKv6nMFHVXOqfPRZRgvY11lRvBer/6tjpPq6FCfVBRllRDE0YNsNgvHcVCvNwBoaHe6mE5nGE8mmEynmE9oDoej0VK/w6EQNjY2kE6lcOv2bWxtbWNzcwupdArRSMR19nRdZ2saQrvVQq/XQ7fbFeaj8XiMQX8gzFi6plM24WAQW1tUj+f1119HubyGnZ0dJJMJRMIRGKb0U1Ln8jrCAUcfl9C2a2j0l/EEP2Hlqpo1UnFb0Vfluqv2igu5hRRSCK1w79zr7GNVEZBP9Xud/9M4KuVAoZUa75lXJHT37UXadyUz7b//9/8euq7jb/2tv+VK+PYymmqz9GrdV93nd61qsuFJjbo9KmM/HA5ZTQyNOSfqEJ7xV2wVXafiawCEE+ucedrrhi7SU/NxUMl3HZPJmPXLhmEYWCzIdyAgkocFRcRHwDShRaPMDpxkFZYjGI1G6HaJ2RweHqJUKiEWi1Eo9HCIp0+fot/vIRKOIJlIYmt7Gztb28hms0gkErKGi9f0orkZu5+Q4rKlGwb9091RG+xR8m/OeVY0aSriH6i3fDTJnogk/W47jstRj79MpzqKbE25AiRhadu2MWGCCk+Fbq/Yb8/RM+Ve6ZPhfpQG6JpAwIqlImbzGcrlMvNVaWPI/BgSiQS6nQ6CDC43lHo9GgidmU6mwjzI58WyLJGi3wEwm83R7w8wnUzR6/WFn0Cn20UqlcK9e/dQWlsTPl6S8NOYJCN0j9S2LKEl27aN6ZSllh+PMZtNYS0WMAwdjmPQ/Etnk9XT5+UFvhcua5SrBIWP0lS6RWYMR3EO9eshCWSOY4s9AMY2kskEgsEAXnvtVeTzeQBAqVTEo0eP0Gq1MZlMYbM8PLZFiBs0IB6PI5VM4s3Pfx4b6+v4gR/4AnK5AorFIkKhoJhKQsForwUDAei6xoIbHBiGjmwmg8PDQ9RqNbTbHYzHY1gLC4CDSDiCSCSKu3fvYn19Ha/cewWFQh7FUoEcuA3pwK0KRZedEVJ2pCO6bTuYzxe0Z5SgAd95h4fWwH99VSHxOoKT5vn5MpsDz468Nv3wGdd1X7hKcFFov5CXHAh69ELv82nfEUHl//7f/+v6OxwO49d+7dfwa7/2ax/re6/ScK5LXLiUzjW78Wgssi/OZjMEQwFCCAQEubr5EjlwO6sFjVU8dZyFYGZc09I0qq/CmYTBKpdyezavf2IwTYz7A4QjYelHEw4JZ8fpdIqzszOcnJwgEomg3++zpE1tWJYlYPtCvoBCsSiiOUTkARuLzTNgKntT89b6Vprq8EcCi+4+bCqc6KjH8optrggsrnMF7lzmJvSuNRAmE+9DZV+80QT8U9vWFSHFHSHD13U+mzFhc+6qDnupDVlhDBwhkX0Vg2ZJ0bjg693TjnDWTafTmM1myGSySCZTaLXamE6n6A8G6PZ6GI5GSEwmhNYZuogKovPDitPN55hOp668KI7SUe6/NZ1MhQ+Axj6fTCbosT3G82Z4oWPf+XAcUSuGw/q8Psx8PsNizqoA2/KZEJqmey6VaWNfrJp/r1b40duqJ6nzKIsOur8TvdK8/XKYkMyvdRCJELq7tWUhmUyh0+kgGAxiMBjCNAPCnDyfU6FDPtR0KoV8Po/bt29hc3MTt2/foeKnySQVt/T0g5uiTNNAoZCHaRqYTCbCGZaHNZPgOhEFD+OxODa3KLP2xsYGcrksUqkUo3vufeWnbC4plZoGQBc0WDpay+hHFWWTkXVMqfAszirTziq0fek6z0/1uf43XIGmrGjPtzM9z3Q8X3keJuUPzf0Bv1mYn5TnyQkWc6u+TOzYFxDqPzW1fvwO9FXmnaue5fWd0HVZxZXbRG3bwmg0F6XZRen0S8xQEkp0BPyezWVRXi9jMp0gkYiLfUHICl9o6VTJQ47D4TA2NjaQSCREmKDBEApNEKAkbu7tYTQcwLYWOD8/R71eF9VKDU3DYj4n+3MkilAgCN3Qsbu7i0KhgPVyGYV8HsFgAIai8UDjxNV2jWvJNIPl+QyHw1QLJhwmU5ImD4TDftL4KRuCrrMQZI0LBCvW0AHcRTLEY6F5zhzX4tV1Eb9fYrYiYiqFG11XU5cvRyZpGhAIBhCOhBEMBmCahkhN70hjkqsvcg/6D3O5uYmviywzDTgajSKdzmB9YwPD4RC242A0HFJURzIpfFMcSGJtmiYKhSLG4wl2d3fRarWFo67Q/B0HlmXDshaC6lMYqyaQmVyeQqDjcQp95lWdNV2Drsm18PoVCKCbI2sOAcuGocHQJYpA58JRxq5MgVcoZf8TU7s0yZcJj/57wheqF/vf8wpNuYbtZV6jxxHXM3TWJTARvZHyuKOMGeCWLP6+WIzowZ07t5HNZpBMJtFpdzCZEgI1mUxFUUrbcVhUXxZvfu5zyOfzyOeyCIZCcjrZ8+W8SXkwHosxvzmgXF7D1tYmGo0mKpUL9Ho9jIYjLCwLyWQSsWgMr9+/j1w+h2wui2gsCmjsfOsa4GjCgXTZpOmec03TYOgGM0cbrFM6oGseWVOKKOJs6VdH8Hnfp/bJ9xrxc4VgcA2da7Vwer22LFBdIqR8xLZEJz3v5vxLIKb6CxRnxKdIUAH8BQzerpKG1U24CgKkwmsadEMiJ7bDHOBYRIJlySyIfgviNStRPowAkklydBwM+giFgiJ7omPzKBnOFEgo4FpyKBQS5dRDobA0y4j3OYhGIigU8lgvlzHo96EzsxB3gKO+AGaIEkrxJE9rpRLyhQLSmTQz+fCMmI44+37j5PZbf/MX18IClBSMI0CasoEVIsXHS3IRF1boOctMzREIipsw8IOizr0fQfA8yz0q4iuOvJcfPi6kqP3hAgpfbp6PwgxQVJa7ho4DKcwtz5h3G7mRFve4+Pd+wkowFEI0FkMmk0G+UEB/MMAgEmFIWZSKBzI0jmughmEimUwik8mgUCjCMEyMR1TMcM6QIcuiPBaz2YzdK6PagiyTajJJhS4pYizA8kI4ou98blereoqwArAQfOJHJDB76trQiinv4HuKXyDNdFxYWDXfXpXTz0ysmgUc9W+XNulDoJU1VEVVQcM0mSTL7REglReXSKc5QngIhsgMXCoVEYlEYOiEbnAFhStXqVQKlmWhUCggk0lja2sLqVRKZBWmF1Do6VJEFftfKBSktTYMJpDG0e12USwWhJl8sVggyfbA9s4WS2QXRSgUFEdWY+NV/ULU5quQqkknNSmYr5Ly+RCkGMn/r0HzWyO4+YO3b46j5HByIcPeziu/LEmvz9+uMoex31b0gXXhmiiP3/OX6e9yv7gJUwic2uWC3qr2qRJU/HxLruOnch2JlTNwHknT7/eRSiVhWQs0RiPMGLQvwifhuJAV1cbJ/9Z1HblcTiAhb37uTYwnxAS4WYfbWN0OS9R4QbhIJILy2hqiUUopzlEP3hKJOAxjA/F4HHfu3BaFBmezuQhhlaYPmZQuFiNHyO2dHSYIBTxJwJZDS0UfJQ8SvxBETSnQQ6EQIpEIyxEREoIfTyHOBQxdVHgVuiZ/m/JsJTeNaiyVj/FhgtdtSk4Ox5FEUGFeq5Jw8bkgp8Mk1tZKKBQpxLvb7WI8mYCbFFkKPDG+ZYgfYg7VvvmrZpL5q/0Kh8PQdQN3795FPp/Hrdu3MZvNsLW1iUQigfWNMiKRCKt2rIkcQXfu3EG5XEYul8dgMEStVqMopl6PTEf9AdVwGY3AEbFAIIBgIIBkinyj1tZKyGQyeOXuXRSLRcRYpW6+psJ8yBifBl0IWxqTYjQ4pCgbBmKxKJLxBJmxEknWb1P6pnmJJeAirJoyT+p1XMB8AVoKPumc0T7nbeQkHQiwjL6aQDCW+ggptJCgrPI9me9J08isyk0r2WwW8/lCnAduluz1+rBtG+Ew5WspFAtUP8mQJl6JRq5W5ADKeWUGqMhmsVDAxsYG5feZU0ZkXs4hFqd0/pFwhAn5liL8Y2kBOGqrmkz52SKfKiqMaZom83tzJ6MUkrcCOzkWo6q6PGsusuW7TstCCqCIww7PJcJpkOO6Tj7IddOlgsEqU9RlfZQvUR+03IXnb26h3TUO/kN9j9A9FUXhz7Og4hVSvAjKi/qnqPdywSAajRLjZjH//MCrdVfguA+X69Aoz+U5SQJmAPP1uYiA4cxPTQTkNw46qLoozGaYJtvzcvdwB9tYLIpSqSiiCrhN3Cuo8P7zeYzFYwJaFUTcWTaMqNqGt7aE21Sis9TdARiMsKiJjKSgAunzs/Q8WeZcLqWmkBpH+YyRIO9BlSqh+mT5vUpw1M81z+m8tGlQi/Xx5HuGaSjE/xqPueQ6v8/9aJ9pBqBpOvKFPMIRqsljWZZImx9PJMi/QGFEpmkim8shzkyL4/EErVabcnSwxHGdTkfUl6F3OyL3Bzc5rK2VkE6nUSqVkIjHKQGY6KsLS1AYtP/8GqzAXjAUQiQcRigkHciX5gHKnvJtkkldxgvk7W4m7TbRSfSD//B7qz+jZzTGoMrkLhnfy28ciasIRMCR+5SEXweGQXsvHIlAg4ZoNEa0SKNK1ryRzxETwnVNRi6y93uFFC4M+qHW3AE7GAjAcRyk0mlxj0BMNE0IQdz4Mp9b4GdZHbKfucWtycsEeGqOGTF1HoSDh85yfzNlCtVlWGqXmX0EorKEpvgLKeIrTUFWLiECl/nLrDITye/h+qmJIavQipe2yb6v6JBUBqEMW2x+2bclxN379zXbp0ZQUdsqs89Vzc+EoS48N4mk02n0ej3EolEMeAl75YCoB9r7HG9/1LLttmXLA7xyI4re8U+UdwKWtVA0DoifakZLnlBJ3UiqucD9bnKWU5ELjriohRDJBGCJeyQoIrVZnoGUm354FkpDN1zMREDmz72fHcjsQlxzksRIaqGaGKt7Tlc/d5U5b/XeUgU/KuyWTKaQSBDCEA6FYZoBynPBsn3atgNrYQMGmRfZG1zPc73BcZb2Fn0uKxCrX2kgE1Qmk0UimYS1IIftUJC0Z13ThEMqF3Y1DQgETFYlOQ9rYSGTybCw9pmI+lksFpiytOu0Z0yGQAYE6hcKUfKygGlCkkrihA5jZDq35WD5HHHBKRAIkLIQiSAcjixXT/bMzzJh9P6teb5bJby6meXy2ivEm6+/+y7Xs930hcZuMnSAijzqrtwpLj7oYi7uYqzEsCGEEb4fOFoqzLIM+QyGgsqR0VzDV+dQXQf1p9ofdb4F+sGVNE0xBit0zD2XfFdI5fAqFEeMSZN1rbjj+lIKAHGPfI6tCsoOoPkkYXve5q/GeD4VsqUUGz7KO3lz8xpAWEUddw/EOvlkxb20L8p0iv19RbdVWvXnVlC57uJ67Yy8LdkbVzyPM/pgMEiZOxkxdkvy7B0rpGm/Z2oapbt3TMeX4MrmT3Adh7LlAqow4HqLIrj4ZJNVN56qEsJ9xpds81fNuyO1WUlsaI4ICVIcfxUdWpB4jW9uPoZV8+HhxvxX9jq3xu5Wn4TiqElhz/ucVQKTtz/utZYsioRcyjIaDAQQMIPuIpaanzlN1SsdP1qroFTL/Vh+BnVY14BQOIgQgqIoouRNNE9LqJ2mkaZvkGnFm5CLhFQbC2sBzaPh8kfxzMo6g0scm7kRa5yZL7N091j4ENxwP4f61e+X59ItBPvMpPL7KkK6QpPW4Nmf6ga6TCBa3VSzhqp08O/kmZXvEkim47hokbpHNLifxbtkGO40eb6mjUuEhVV7UB2LH61QtXr+tfoolWFKurxMt/lc8cajM0VNM7XPnue7aYN8rvudH63J9/g8i+tWPmNSf/pZCfz4lt88sQt8++Y9H6LPLlvOqoH5X+t9lfcc/rkVVF5GWzV5XiKpaZpIbjWbTbGwLJnmOhxGIBgQaAOvxcNzRlzWVpmu5Ge266c3kyGhHnyTEPwrpWN2GBmjUoUTDQD4owT9sxV9UJ0Dt7brYiw2F9c1l+DhOIBtqWGXjhDMwuGwMBGQg6kOm+fXkPq2H5aw9ImcQ819iWtZVWHFrXW4v/fcr3kRsqVXryRq/LNAwGQIEkVOOWzOLNtyVawWJkKliy5mcwlqsLyHABIKuWMnzSs3LGgGvccR6y2v92O0OhcwA7y2kw11P9hOUKy9V+DlvGqZqDkMSVGqLAOAUv+HnkcCnUy5z9+jCLmam2F7hRUvoffnQSrx9/vev13Kz3y26xKDcADLtjBfzLBYzEU5AI6quMyz4H5T6jnXAdi+ZhkSwlVhgN8LyPV211zyCgl+ChT3x/PTwldp5V6DscavYXtONZ2rZ87bLz4u/pks9grFFE85acR9DvP1cwlREBYYVz+vEFK8goymKWiRs0ydVCTBT4Rd9Y7rNC/zv66AJef6+e9date85QVkFAB/TgWVVWjKquYldG4C6EgNj9mX+bW8gq2XcPi/d1my9WoZftKo1Ook8eUEyGck4nM/51wJQzpKj5SvXQx96ShCZR4KGODLLLy5VFYdDi5UiXEJZufAUVQR9/2aGIuLevg83ctQl9aFP2fpe7cQ5yagmmtN6DPKSyKSAmJ5Ly0/y3Gt/VLvPczOn1it0OQAgVpJoVVT5tfFsl3P4ETZEUgQ2+/0pSI4yNuXdpQPtV4KdeQXKho5F2z4C1x7TWl+iIp3jeinez15h+W8Lz/7uei4A7eU4Omjq7+cwdqEjvI9tNxvctjk8y77ru5j/nL6XDJ19XPxVN++LSFruiaey33b5Nldvc/kRKxuLsbvrL6erpP9Xjr314FCr2j+iqJbiPMiGELgUqZB89zrQkeu2bvLhAY/2kGfA17aJvnCczTXq5dv5oqN1A2Vgb+gQLKq/bkUVK7b+OJ74UMulJgGJVjj1U1VGHoZul3e+CTE8L8BQJXQKSeHSuPoO8OjaThC45bvBNM+ZRI5Tksc2Mq7vLkJ3EKPouzJgwjAcZbHxJ2A+T1Sv5CHlAt0PCGU0HwWC+GIrOk6ROQqHJb11AYvXC7yb3CCrelqDy9dz9VN+hLRfPI+S6jpupCln5ACyPDkQCDAQrJZGQLb8ThiiwkUc0Trbbne4a2eqzbeV3kP7VevAyaUOXXNBkft+HrzZ2Ih0A3eRdXvB9Ag0LglBsr65Pj7OQjhiPmqGBo3R7B9zfOKaG6zCB8vnyfVp2HVmnlpP50xPgZVuFmeW++6XiW0iPfbbmHF2z/btjFfLDCZTDCdTLCYLxAwZRFCTnPonToMjQt1Ohs/nQXTDIp5k2Nje8b1fn4N9zuTpiuOWkkaw3JIGYozvVh3R/nMjX643i/ZmvcKF33hyB9XcJSZFj/pfdLE4TiOMPUAQMAMsOKGQYE0U2QdWwJFeXGU46a+7brmH4GUCCLtedCKdtklq3jGlc9cKZQrsrLSVRHB6Ve5+drvXiGganJN1UjRa9Uy8GmfKkHlurCVP/G6Xtw+v1ZdTJE1k6X5Vm2j6vVX9EoZg/vdXoVsVV/l/csaLTF420UcNZ9IGv58tU/uv72EWn6n+ZEhRvDUf/wzzqAt7isBqa1DZHhV0AKPWrAMv/J3ejqhOdLH1kOA5Dy6hRT6xFkakfzaq8EsM1/vPEmfFL4fNIXJ2i7h028eL/tb/cwPChZCmOiPxDj8mAe7yvMZZyred/N94pkfhz/DT+vzP6tLS6ecNfFPmHy8vVwtCCydCYWR859qd+hebz/470vd9mluNOy6mrFt25Ta3uG5k+T7vY2JmXDAk93Js+g4z+e06L7WK7B7x+X33NVCoZxbf/pAF7qFZy7squiJ+7maIlBJ4QqgHFPBQJA5gRseAXF5D/A++qEmH6X5zpKy4cTx8KCVVz7X92xf1TTXD7FfvBsffvv7mvPAa7Hx0jBwr7tAP59TAAM+ZYLKC9nWlPu8m9MPPla1Ny7JtzsdRKJRVGs1RKJRdHtdlnU1tKT9qs/j+U64hgBIDVpl0G5mLDVK1ktxnXo9tztrGqApqQRUgUGUQFc0U/Unf5+h0zaZz6mYma5TKKg3XwtpbqC8Dg45WPL8Mv1eH+12G/1+H6PRCIPBAJFIhKrfTqdwIIt8OSDbuyNSYDN2d4mQ4u2HIxVkpUkbNd1nuy5yVI3QBxXxa1cRCZVReqPDAI2cUBcW5vMFSxjoQI1ilwgBL9TmFjb93udl0I5jw7IcQIkgIcK8IDrFEDcdnj0FVdiWmrTtWAC4hs60akCYjgQtBsDzYwBSOPObH1n7SGMmIJcODd3gqIIpzawMnTPNAAu9puuv4xPmGqfybhIepYAgP+djuOaTFSHlssbXQ2eZfPk988Uc5sIUgrxlS3MLGL3QWbSLrhmAxtLPK3uanxHxTyArHHWl95GPFJboAPdtkp9LNFZ+D/gVAfSOz3Hc7/TSGseFtGlQa6H5zBoTVBaiMOWcVdAGqCBrnhXBTCQSLMpM9psvoqil5CwLKl6ae+Ua+jB88XCf8Xqrpqu/vygfe96mMaHBt9zJi3TBq/VoAEe8Vdr+IuP7VAkqL9K8B2fpcPtqCW5hYT6nkvf9fl/80zRNJKEyTdPnfv/+eOG7VZrzMgTtn4jIfd2yk+HlTI/u4b/7CTLiM0gmubCo2NmCQdnjMdVGGo/HVO12IQnMYrHAwlWSXRG4OE4phDVOD66CZJUssoq5w+v/oPRcmUg/NOHyJvvifpZXYODwuyxcKYv68X+2bcG2DagMYrm5idu1hSVH1XLU8fNnuimN4/jlh5CoiqMpoaMav1PuFy6Au9fO3f/lkcnOOexBtu24slvycFTp86PO1bJCID+XZg7eR34m3HMAca0c/vJ5W6bMct7k85fPK8OEhMAhfIX4DCrn0nYUNJKb1RRB0Dt7rvB818/L2nJ/l8cqr/V+fx1aoiZNVO/zvk/uFQ3e9fI2y7JEZXBeyR6gvFGUoDIkykKogrbmiM0KFTm7DBG6svldyOknp0PKT/e5u1pIWT2v2orvV629v1DiNdW7qPEKHriyuR+lnE8/nnS99udeULluUzcSz6fC69RMJhN0Oh08ffoUk8kEiQSlw9/a2kIsFkM6nabrQyGxYEI7FVkk3RtuVfXn54UjdV2H7dhMa1J9MSBML+q1XACTAptEUlhPXH2kn5KoTqczDIZDTMYTkQF3MBzg2eEznJ2diQrNg8EAoVAIo9EI0+mU9YPbxeW8yMiphYv5yXnxZxbU3MKPpkGBW5e/Vw81R4dovq6eZy+x9dZ74mtMtZ0owZ9uGOj3B2g0mmg0mohEoohG4wA0mevGon7xwy61TH+Nz1+wBXiEDtdq6RYmYAjZgLK/8u8ohBjQoAtBxIFDkVkaoMZVao4Gx1OQ0dsHuXYS0peVsxXCzX61bQez6Qzj8QSj0Ziq/jpULyQUDAmfH8OUWZwtawEsEWd342fL5RNE34DvbzfTpXnniomKiC2P05/pEwIir9c1FjosHmXAVMKEHZDWPZstMJ2SIhSOROi5aoSUS5jifVKZggMe1idoiLrfufCoAbZFiIlqtub+MSr9UWmGSgtWRehcjzGtFqjcwj4Jx4vFAt1uFxcXFZyeneHs7AyDwQCapiGdTmN9fV1Uezd5ckGHhFVCBKWQwqPevHuX3sVmTBEuvMiun2mSXysLtrrvFU9QlAHvPF2X1i8rrer9PnuUfSr2Dnwu8yiO1+uIX9/42Zf+ln/uBJXnZdqr0Am/dplGK7IvBoMIBCnZlGVZ6HQ6CIVCODo6wpAdmlQqBdu2EYtRynDTlM6kbkV1+RCofbmqeQV6t/YqNcjL3iMFJvrHGZPyFs91knAtFgtMplMMBgM0mk2q0NzuYDgaot/v4/z8HM1mE5PJBBqksGdwU4gjfTVUJrGsvS0p+GL8/o2PwHFfp7m/JaSAE+5LNH42p5ftPb++cwGQC6yBANVFGU/G6PV6aDQaCIVCiMfjmM3ios4KZxI6K7Lmh6R53+s3B8qQl+Zk+UqfT73KItdOVebnEsz406Q25TAp8TI0UdS2smxYC4sJtX0MBgOMJ2Ni+CzTbzDI89EY/g/0eb5b4PciAJrnMy+qogou11l/5ckrB+3+U6U7tm1jOp1iPB6j1+vDDAQwnkxgGCYVAIQGTedMwI16cPOZe2zsVPMtr2KKCm3wQ+lUhNeLEPmhKVehnstnxNNbTVP2kPs6jsj2+wM0m020Wy20222qym3bVEcsHHZVkhcj9kF02B+ubb6MmPH9sopGi99kn119589fpqeXNe+cut+5TI/V4ch+81+pb7yHq9d7FXXgQo12rVFIEy5TeDR/Gnad9j0tqHzctjyvbwl/ZzgcRiwWY0UEB4jH41gsFnj06BEODw/x4YMHyGaz2NndxcbGhqiVsrOzjUQijng8TkzaWCaw6vtU85IbYZE/Vcjbiza4iJNLWHG/a1XTdF1FpF0Oa/zgWpaF0WiIXq+Ps7MznJ6d4d1330W93sDJ6QkGgwHVtWHmH0MnAS+fz2N7awuZbAaxaAQARfiox4P7VyzPkesvyJwSq/aElwi6pkeOhq+xdx6YcKIKg1eZ5biGyRkPFzhS6TTyhQJS6TRirRaq1Sra7TY0XUchn8f9+58hNG57C9FoFJl0RuRgoRIJ7uRmKrFajgRS052z63WeMEyawihiRFuKyNGXosLkGN0TSZ/ZjsU0Sp2ZsGxmnnFH8Khzyu/lUU+z6RzWwiLBZDzGxcUFLi4u8PjJE9RqNTiOTYU4iwVkcllEYzGRgI6fFy7sXtYI9XILK5rmFmTUs0iRbgClbPfXVNW58TuH3uu81zqOI2rWaJqG+XyOSq0KzdDx3gcfoFgoYLGwEWeFJQMBk7IKi2ru6sbmIcyMSfLPNW8fZF8sVnPKNAnNk4ipzN3kpU+qg7x3LF5hRZ0T77PV/FDSnCf93WiP2LDtOYZDKtvw+PFjvP3223j/g/fx/gcfsGy0M4RCQaTTacrPpOtMCaIMtSrauVS3zLVe7jWWZ1+dT3UuvcKNW0jx34/K5wp/Ufvkfofss9quonnLQgsJqwINY89YjWm5Xrb89yVsmD9T13hBWXf02XXb97Sg8p1o3sOmaQTLRyIRZLNZDIdDpNNpwYgnk4nwu9ANA4vFAqZpYjabwTB0FAp5ABA21FXv82tuyVlT/rkPB13Ln8d+dzRwnFmiJuyZgoDJ7wnl0NjG5EIAlPvp3sV8jl6vi2ajhePjI5yenuHo6AitVgsXFxdiXvh9iUQC8XgcpVIJpVIJyUSCFcvTlX6rPh8rV0b8lMLXJX4rQp7jWr57Xr3NjxWppoClx3uEBu+7NV2DDiryl0wmEU/EEY1FMRlPMJ1OcXFxjtFohEgkgnQ6g/lijkQ8genaFOFIGJkMmQ8jekTWP4J7fy5runwkSwPxaHbL4/TuCZ8Be+ZanVPvs+VscoHJKyzPZnMsFnP0un1Mp1M0my2MRkOcnp6iVq2h0WxgMByIs5dMJkUxT69juf+Y+FlQBWGv0KsOzy2Eaa658Gqvywxl+XO3du7HiDSdaAtPdbBYLNDv9xEMBnFycoLxeIxAgJiwZVmIRqNIJhIU8h4MrFgp9/mVApejfMeQI9FFdb1WIyd+f69qfgLLKvRYvY7Mebbw4ZpMpuh2e6jX66gwIbbZbKLf70MtFcAr3Us070oWzN7vVkxk//m8OD77wTVSDx5xle+O3xzx62WmcT433rxc10esVvVXud5vrth+kLmVvNGdyl6RDxPfuMbqUpyfr/2FoOLTvMKCuhl0XUcikYDjOHjjjTdQKBTQ6XTQaDSwv7+P0WiERqOBVquFk5MTJBIJvPPOO9jZ2cGdO3fw6quv4JVXXkGpVEIulxO1ftR3qe9fZbd0w91SWOE2XH+iTdquW7BxXDZoOIAGFkbLGIBlWYLBqPNjWQv0+z08fvQYz549w9d+//dRrdbw9OlTjCcTDEcjqs1iBpDJZJBKp3Dnzh1sb2/j3iuvYHNjAzs728hkMggGudCmIjbLB9JxVIIv58avuqq6Zvwa2yFfAV3nocGSkOj68lxL0wZ814S/S/j1gHwLHICybTKhUNMJpi+UipjN59h/doDxZIwPH3yIVrOFWq0GTdPw9p/9GWKxGG7dvo1MJoPXXnsN2WwWr7/+GpLJJMrlNVFHR+0DH6faZ9J2Jdpk2ZZwJJRCp7qutDeogJzji6gIlE9z7zDDoDwnlBfHUvrlKMiKLBfAhQTbpgyi3W4Hw+EIjx49RrfbxcH+AXr9Ho6Pj9HtdrG//xSmaSKfy6G4VsLu3h7K5TIi0SgCwQBfIVzGGJYEA+WseYU8Fc1ctef4d377QmirSsi5mg6A57hR96ppGEilUkilUojFYuj1ejg6PMTF+Tkuzi+QSqWwvb2NtdIaXnnlFZTLZdy6dQvxeBzJZJLqMRncwVmuMQ9VVj8jWsD2ti3NcgCwWFiuPc0bz6Ds9b/ym1t1Hv2uWZ4zN/LI9818PhPCSbfbxcX5BWq1Go6OjvF0fx8PHjxArVZDvdFAKExZrrlTLfevoX3miCLJ7vpBvB/us0x9pM954k4qGyQlOs1zjvg5E88E/92B40Erpc7DJXbyj+J+U5w22bbl2p/cidwUyOrzM33XbY4c07JgIZs0kUMgI74Cx/XkwedufyGorGh+kirfLIZhIBwOI5/Pw7IsbG9vIxwOo98nWzoA4bcxn8/R65EGEIlEEI9T9Vy++TiywkOFeRVYr/2RS9Z0iFZpz4BbE+C2a0kUvNlc+UFUtVyOUvBDQ9Eo7roZvP/D0RD1eg31eh31eh29XheWtYBhGFQpOBJBLBZHaa2EUrGImzdvYntrCxsbGygWi4jFYggGA0oopFoaQPaHjVL87kcA/YQ6PwbEv1PDzNW5s22CaDSNO6DKmimq4LSMoDCrrPdzRRgIh8NIpJLI5nLI5/NIp9OYz+bCvj6dUaj2xfk5+v0+mTnyeWQyhNrF4zGEQiGBQnHCztfEW8RNbTz/iMcCoM6YnCMHS89wCUQQ+jgbK7vfkfPofTYXbiWMT6HZi8UC9XoDvV4Ph4eHaLfbeHZ4gMFgiFqthvF4hMVigVAwiEw2i1w2R46SyaTLhOo47r3g1SpXom2C6SjfKxxIQtWrhRTvnC8zcsCbtwjK3Ok6MaFYNIpEIoFMJgNApqkfDoegisgGZrMZgsEgZrMZIpEIMpkMbNtGOBRCKBRkIdy6GJcUUNRxcLOP/Jv3ReU2KlrnnUcvonLZ+fM7O8sIMb+H+jCfLzAcUiqDSqWKRqOBg/0D1Ot1HB+f4Pz8nCp3T8YCaRA1pXSdRdi5Q6xpPtSISjZ2n2vhg9D6Id5eVERcp1ywvPdU4VeOX3Plj+LzawvzLH+2bXOhyo9PwTW/sk/yPQCEAzyUPbCEhVwmeOjMXMSf76UqnPx5hKLroltq+1QIKl5mdNXn1/3e2/gm5s6Qd+/exdraGgzDQLVaRSKRQLvdxsnJCYbDoXAebbfbGA6HODs7Q71ex/n5Oe7evYPd3V0UCgUBYweDQea/EmTMWyIBlmWzjcmJMkcB/LReXTk8DsiuDkh/Dy6g8IKKpPV754ZXx+WMYjweu+zVgUAA1WoVHzz4AIeHRzg42Idt21RhOhZDKp1GLp/H2toabt28hZs3b2JrextrpRLS6RRiTGAj7clizzXY4fLmZlAFqcuYjuy/H6Piz7ZtWe3Zm8Zf1WJ4n7hw6DgABzN4RJLqP6QxAmnZFqCk8+DvJt+CAO7cuYNQMIj5bIZMOoVGg/bKdEph2x88eABN03BwcIBcLofpdIL19TJM00AikUChUKDEVsxHgQu6hmG4BDCVSGm6zFxM80LIiZAvlP0DjWo0qd+oUWFSX3QEUmUrmqw67zSnDhxngfF4IiB8XnF5MpngvffeR61Wwx/8wR+g0Wjg7OwMs9mM1kfTEAwGkUgkcPfuHdy8eRO3bt1CKpVELBZdEs74XC8LorLfUvtVhU5/Cc7rrOv4ENyro17cjIkLEHz/axo5yBaLJViWjVdeeQWNRgNHR0cYj8dot9vo9XoMpY1jf/8AOzs7qFZr2NraxI0bN5BJp5HJZJBMJhCLxRTBUn2vFKq9wrf3zHjnUd0HfN/zasVq5lz3XLmVBa+wIt9Nc7RYLES/RqMxKpUKatUa3n//fRwdHePb3/42ms0Wzs/PsbAWLHM19S0YDDLFJ8SyhJtE49jZYJzSJXCLdVH6teS7IuiA2wdMHYOfoKoKR5oh0Wl5mUwo6UVnaA5s4eslaYwBLsTQfHvpv6Y853JhxdEdz7bUhMbrOKuNw2Jc8O5qpfne/OJwy6dCUFnFtFZ9rh7C6z7Ty/QcxxHl5kulEgKBAMYjiuDIZbPo9fuo1WrodXuoN+oi8Vmv28XJyQl0TUO/P0AmnUYsHkMqlUYkEkGpVEI8Hkcmk0EoFBROlCqDuUwzXB4rbSeVGEstyx3yyoWD2WwOy1qg1+1hMp2g0ahjPB6j2WyS/81igUAggGw2i3a7DcuyEImEsbm5yeYkRiHauSwymSwKhQI2NjYoZDCTRiwaRUAgR1yj9CutrsmDpZEGIBJeeUa9TPgc0Vc1DNsN99L1wSCVuddYinAvUVW1PVUjU94uLLeCWKlKicOhX+bfFI2gvFaCoWmwFnO0NjfQarYwGU/Q7pDj8dHRkShVPxwOcHp6iul0ImD+Xq8nfDWCwSDC4bD4qRIl1X9D5O9wyEdFdFUILnSdIKSMCumCifNihI5Ejtg+0gHYChEkxMQSxeH4WrTbHYxGI7RabYzHY/T75DT79Ok+Op02Ot0OZrMZ0ukUAI0VcjQRiYRRLBbJ9LG2hng8jnA4LMyT4lzyHogx8X46CiJI37mTHUKskcYirGic7uRzfPy248jU43xe2LM1NlduEENz2feXGBsc6IaBdDoN27Zx7949dDodpNNpgSgMhyM0m00YhoHRaIR6vU7m5jH5xpXLZZTHEyysBaBpIuqFo5VuhUQKLLyGj+O4yzR4kUjRfzYwTdegOzoM5iek8VpAPsxcjNPD/HkjhuxQodfFAqPRCN1uD/v7B6hWq3j65AkqzPF8MhmTL08oCJ2ZHHVdQy6XRzqTRqFQQDqdRpjRTmmm8EE7+eeOA2iKAO5IZ2u5P2RlZlXZI7Onl/Zq/Hj40Bz+Xrf5yJHdE9d6i88u8y0vmrWs1Lm/X/25V6i5qtH54G+Udbpcb3KW73kRREVzXuSu73Lr9XpIpVLodDpIJpMrr3texERtlwkqtFElc6XMiHP0e32W+K2HTqeDs7NznJ+f4/GTxzg5OcHBwQElOptOEY/HEYlEhOPc2toaUuk07t+/j1KphFdeuYtMJo18Pi8qDHNB4zqbkAsAauNp6/k4uNmAb575fA7LskSUzvHREbrdLt7/4H20Wi08fvwIo9EIw+EQ8Xgcr7/+uug/DzdOp9PY2NhEOp0Wpp1EIkHhpMwLX0UwdN0tXPCfXs0Fuqzp4T3RxCi9+V8cDIdD9Ho9jCdjMq1Y3Nufro1EoooWFhToBJ843q8Fu0+1fZOZjkVH+B4hLgyQkCIIDBOEJqMx5vM5RqMRZrMZekxAOTw6QrPZwte+9jUBcdu2jUQiwQTZIjKZDG7fvo1sNovd3V0kEgnk83kh4PKMrXycgFfbIyRFRPmI6rkMgVDMjNwc6d1DmsaS17GyAHweOIHnCf3G47FIhjgajXF4eIRms4lHjx6j2WyiUqlgNKIojsVigWAoiEgkgrt37iIej6NYLCIYDCEepyi71157Del0GltbWzBYtlox3yybMeelCxZJpDNGxU2YfG25+Yzvl8ViAQcOTJ7DxpGmXk2TURFcw+VnSTzDdqAby0U2XXuZuqqgPdQfeqeG2WyO+WKBbreH8XiMWq3KfHQOUKvV8MEHD9BsNnFyciL6l8lkUCwWce+VV/DK3Vdw+84d7GxviT0TDAbEnlDRSp67iK8vRd25m7pvFSBAMiXPOC3Lgm3xujqaMM35ldHgqAy/jzsPD4dDnJwco1qt4Zvf/Caq1SoePniICfN7C4fDiMcTiMZiSCQT5AcXCKC8vo5CoYC33noLt27dwsb6OpLJJFt/1nFIGsN/CsHekzyQry9XTvi+nk6nQojg71b9xrhCw5/B0y7wvUJ7itbCstx5tNT5VFE6FbVVkc3l3D58LbwCmWsHutbM267Kfu0VmKTK5v5bKEIelKbX6yFXyKHb7V7Kv9X2qUBUePMyvBcVUtRnXPYe/jvPfujEHebQFUQkEkUoRGHMhmkgEonAtm20WMy/bdsYjkYYjUa0YW0bnW4XgUAAjUYDpmkIeD8ej0PTuD+Cf6Xh5Y26PB4/+BaQRJNHLR0eHqLb6eLxk8fotNt4/Pgxer0uzs7OMJ1SumrLsjCdThGJRLC+sY5IOIJEIsHMEkXEYlEkkynhT2EGTJimwfwk/OfbD+kS/XbUfgNCjmdESFOOi2VZmM2mIvKo1aY5X7A09URUdKTTGUSjURSLJRZunpH+QppSYJEJiLoutRx/5Ef2GVyzVvRxQZAcR4QZx2IxQkMCAcymM1hMKDk9vYlUinwwCFonwjaZTNBqtfDo0SMkEgk0m02kUimUy2Xk83lsbRGDSqVSAAwsVwcmIU9zAOF47YhRECPT+fmR/lDyp5wPlwbKnsA1zn5/gF6vi0ajiU63g2ajyUwXp8I82uv10O/3MZ8voBs6osEo1sprSCWTeO01ch7maCXPMZPP5xCNRj37xI1McFMWZ4S6yEXDtVPui2QrArqN6ZT8hCAQCGIEqnlNY8KZex+wddbdCRUva5z5MxhK9J58S0zEYzEWeqwhmUwiEAgim83BcYDz83PMZjMhiA+H5MvDzcaaoWM2m5IfTzzOzMoBxGIxihAKcJ8wdV+o6JvPGFRYiQl+6p63benzQs6WfG+4aSWhH8BkMsF8vkCv18V8NsdgMMB0NhURPM+eHaDRaOLp06fo9XoYjUcwDJP5a2Wwvr6OZCqNbC4rlIwc8/na2NxAKp2CGQgI5FB2n59JTlsg9jchohIBJTTWxmIxx3Q6xXA4xGRCiSwpl00AiUQCySQJhOFw2HedyRlXzvFlfEr9XVW8vNesUqThGeNycxtrVj3H20f1sxfhq6uU0Ou2T5Wg8p1qXlslP/x8o3ICaS0stDtt7N3YE4xlf38f+/v76HQ66Pf7At6v1mrQdR1nZ2dIJBIYDAbY3NxEJBJBoVBgB4MycfrBsq7IHU/zajKcAHOtkP9stzvodDr41rf+FOdnZ/izP/szNJtNnJ+fYTKZYDKdwHFIA+Op3yORCO7fv0/ZIMvrCAZJI+aEnc+H15arQp6qDdwrrXP0ilef9foLiDE7Elafz+fo9wc4OTnF+++/h2fPnglb/3Q6FRlNNzY2kclk8MorryCfz+P27VtIpVLECJn/Cb1DZzCvLoit0gMK7hF1TxzIGosOu9eRWortwOFMMKiTVq9p0LNZOI6DbI5y8ywWCzSbLWxsbGIymYj6SE+fPkWz2cS777zLCGUc2VwOu7u72NvbwxtvvCEyItNeXSZq0jRBGqaMSPAXgh1hFoHrOoHwiWsoi/F0OkWtVsfp6Sme7j/FyckJjo+O0Wg0UK1WMRgMmIAyF/5e5fV1pNNpvPHZz2JtbQ1/5a/8FWQyGZRKJaGRc78omlneN6m9qvuda+nqvqKK1SoySnt/NBqR03u/Rw7wzIE1HCazUzQWg2maCIcoE3UoHIKm6zB1dzIx29ZcWrA/VA+BqmkAbCHE2mx/69ANg6LgNA2FYgG2bePOnTtsP2xgf/8pHMfG2dkZ+v2ecNYfjUao1Wqo1Ws4FqbWDLLZLGKxqEA40+m0RA8hmYh6XjkNU7+nvntLFrg1cM78oam+SmzXaRoMA7BtjWUbHlF0V6+H84tzDAYDnJycoNPp4NGjR+j3+7i4uIAGMs8WC0XcunkTu3t7+OxnPotCsYDy+jrCkQgiURIUQqEQQmHaU9x5k9ded/dZFUr4jpJICik7rE5Zv49Op4PzszNKzthsIByOIBqNYXNzA5ubG8jlciyfj9txl59//hmfY4nWrM6L4kVX+FpcLTB4hZbrf8/pm3puLnvn84gsq8x+12nf04KKLxH4DryTN9Wm5xUcdF0HTIh8K5ubm5hOpwRbxuJoNBtCWOHwOPenGI1G5Cy2WGBtbQ2dThfj8QSRSBjRaExkxTUMQyAA3LHTBWUqWp8X4uZZL8mhkYSl09NTtJotHB8d4fz8nHxsen1YFmml8VgcukEaJjntJelfIil8BrjQpml8k8M1X5KoAcIRTKAPUMwlQs2H+xfSFqTjIhN+bFZfyFoQMak3cHFxgZOTU5ycnODo6FgUL+NREYPBEIl4AovFQqBXORaNw01a3MTjNYF4myN6po5BrYbsmggFxmUCHPuea757e7soFgsoFAqYzWYYDUfodDswDAOtZkugQ5PJBJ12G8eMKUSjUSwWCwaPU4Zb0zQEIqMKXNKJghMh1Qnb3VTkgBN5aQKxhR/KYDCgsNqjIxwcHGB/fx8npyeo1+rodrtCKIhEiNDn8znEYjFyBhVCYw7pDPluCbSS+Y/IMEmGDGkQjMa79/mZIOdgTWyh2XRG+6TbY0JVjZh8vUaZYCcT6LomIvKy2aw4x5FIBOlMGoFAEOFQmJnXDPHOVVFXUqOkvq4kW6ybOusvF8RM00QsFsXaWgnz+Qz37t1DPBEHQFB6p9NBIBjAaDTC6ekJup0OLi7OEY/HUSgUkIjHsb2zg3Q6je2tLcTjcUSjEToLJjmAG6bJV5hmWeN+NhI1U/stGZqMjOOO1hTCrmFhWWBxvXAcwGIOsDxi551330W73cbZ2RkmkzE6na4oqWGaJrKZrECVy2sUjr2zs4PdvV2k02nk8jmYLI+MGQjAZEUrhZlVOX5eBNlhP23xuQPLtjAcErLcbDYx6PdxUamgzdJN9Ad9tFttRKNRxBMJMi2PxxgOh8jnC4wG8srNugjb96JX8iy59wnfz4r+tfI6iFXxbCCx5/y+917L10+95/qoiRuf8X+8HNNSXNC12/e0oPLdal50gP/zOj7puo5YjMJJOTKytbWFmzduolKtoNlsololG3StVsNgMECr1UKv18PTp09RqVQQCARQKBTQ7/cRj8eRzWZFdFAoFEIulxMoh1eLVAu2qf2dzWYCwhyPx+Lnw4ePUKuSHbxSqeD45FQIV4FAUJgiYrGoYOi5HIWKcqa4jKS4c5WoNleiaVTNlZ8UXnyN+4O4hQOufWLpmTyt9ng0RqPRwMnxMZ4+3cejR4+wv7+PZwfPhM8Cn59wOIxQMIhqrYZisQgAKJfL2Nu7gVgsxpi8KRKL8b4saQSaNPLw5jhqxk5HQTY8QqROMDrPXUL+SGHcv38fcMjPglLJU36eSCSC09NTDIYDdDodQiiGQ+FoyJEX0zRRKBRQLBaFj5NacZgqOavCihRUeJ/VOZeCihwbd5DlkUrj8QSNRgOVSgUPHjzAhx9+iIODA5ydnWE8Jl8cLvxlsySg3L17B7lcDvfvv45cLodXXnkFiUQC6XQaZsBEIGgyIdZw+YW494SzhMrx/c+vYUo9HAeYTKcYjyc4Pj5Bt9vF48eP0el0sL+/L0o+aLrOoopi2NzcRCqVwt7eHtKZNEOs4shkCOEJ6Aa4AVJX/H2Ws68q8+q4NWdO8Pk/XWc5eVg0nGFQ/qZQOIxEkpIkbhxvIJFIoFqt4uSExtLr9lCtVjCZTITSsLZWQiqVwmuvvYZSqYTZbIZ8Po9CgRhrOByCYRoI6op5TJN0zuuDxC/gjrWURE6HptnQNANqIOJivoC1WIizyouTPnnyBBcXF/g//+f/oF6v4+zsjJllqc/JZAKhUBipVBrRSAS5bBZb29t48803sbW1hXv37iEcDiMSjUjlgM0xd50ViqxN39u2DYftIcdW/GOUaK3pbIZ6vY5Ou40nT56gXq/j0aNHaDQaePbsGUajEXq9HplX0ym88soraDabuHnzJjY3+6K+EPcNImdwQzg1ewUJN1KpiTDkZQVPmfclocfdJIINeEmV58pLn+Pany+AgoB303EjMy8CLvy5FFT8Jn0J0loxmcuSrX9FUPV7ilqIiM9i0RgJH4M+2V9ZkrhBf4CjY3JgJSTDwsHBASoXFTTqDYQjYSS4gJLPI5lM4s6dO8zpkMxDaqZOTWH+AEQl44uLCzQaDZyfn4uwx/F4jPPzC0boquj1+6JUwI0be0gkEtje3hKRJslkAnfuUFKySCQiIHk2C0yQ4KF4Mj5f0+n0cCapCZUH4CqQBg2GoQvNXZ1XEnxsTCZTVu+jj+l0Qtr6cIRWu41Gvc7MDUeMSU7IxKIgT+ozO50O5vM5vv3tbyOdTuPpk6cIRyJIp1KIRKPY29tDMpHE1vYWgoEg+QGotivFniuRIE0SC0D8LgiDxhk+EQuX6UsRechfRmcZa9O4ffs2Muk0dE1Ds9XCs2fP0Ov1UKlUYFkWzs7OAADj8VjkG4mx3D3JJJm1crksCWKJOIKBgEAm3HvanX6dC4bkmzQTYfeDwQD1eh3DIRHwVquNer2O09MTnJ6eod/rQ4OGbDaHUCjIzBAxlMtlJBJJ7O3tiERm8XgcqVQSoRD5NBm6TlqvEEZkGPuyCc4fYeV9tiwbnU4Ho9EYZ2dnFFHy9Ck67TaePTtEv9+n6LzpFNPZDNCAbreDYDCIVquFWCyGi4sKIRI7Z8hms9je2kYimUAum0MgGBD5gHRRzE6evaW+aWofbXE9j7CymVMwRzF49J6h64hGIlgrlRAImAhHwmi1Wrh54waazSbzy6qg0Wig36dz3Wq1mF+FgWqlisV8gWw2i/J6GbFYDKVSkfKxZDPChK3rOgwWli+7zNE/N31UaaDqaMzrn41HY7TbLYxHY9TrdfT7fTx4QE7BFxcVjEZDJJNJhMMR7O7uIR6PoVgswDQDCIWCCIdCSCWTyOVy2LtxA9lsVvi9ibl0uMytiTlU6Z+jEJPxeIz5bI52u00C9oQQnNl8jsl4jPOLCxJcnz5Ft9vF6ekphsMhhsMRZjMqjDmejGG3bRweHmIymaBaraKQLyBfILrM93mpVEQ8Ls1t3HTvnTe+V/lg3EghAHh5lqZ8t9yWET2/qzRBf5d1LzdN89JMdy9ob5BvkqSJfIdIJI6P7S8EFd/mNc28rOZHFP0EFY6scCa/vr5OZojZXBzoVquFfr+Pd959BxcXF/jWt/4U9XodDz98yMJ/IyxvRgDhSARbm5solkqwbRuFQgGRSBhh5tCqEkWOOHBthmuOT58+xcOHD3F6eopuh9fioUiU/mAAy7KQzWSQSqXw+c9/Hmtra3jjjc8ikUgglyOmk0jEXfk72CwoPjFM+2XaGRgT9nrXKzMoNHf+lajMzEIFNQ0ip8tgMMAZsxufnZ2xSKszIah02m00m03hZ6A6vDkORQVNp+R022g00KjXRcg5r0eUTqfxg3/5L6O8VkYmk0UsBgQCIfBcI/w0EoTs9uMgy5YjBQ9NWiDE9eIrZc0gqBQMwwQMQDcMmAETr736KobDIdbX11Gr1fB+schCl8nZ7/j4GPVaHU8eP0EymUQqlUI6nUYimcTGBtnSb926SaYuBpXrhsr0ORGV9nuJWlnC/6fb7eLw8BDVag2PH1M22Xq9jm63xwQYit4wDKoKXCqWkC/kcfPmTRQKeUIn0mmUy2XEYlEkEnGB9Oi6LsLX1dwkfv4ffqZOeT2PZiNzAyUNa+KDDz5AtVrFo4cP0W61cXp6hvF4zPyhuIAgqwRzU2s6nUY6ncbu7i7W19fRfb2LtbU1wAHi8TiLQDEAfZnAk8nNo1Fzc5XyLoetA7N0CUdgOT4N8XgM4VAIxVIRN27cEOa2Wq2GarWKDz/8EM+ePcPTp08xHA7RaDQwnxNjjkQiaDTqFDm1vY1kMol79+5R8VSHElAK1I3nbPLsTzECj7bMBRRuTp7NZqhUKmi323j69ClaTXKO7bQ7VLh1SOiVYRi4sXcDpVIJP/RDP4RcLoednW0EGSIUYOHp4XAYyWRSmHr8hCU1yRvfu5ZNCAo3y41GIwwHQzx79gyD4RCdThez2VxEHB0fH6PT6eDw8BDj8RjdblfuKcdizxhjMBii3x/g6PAIiQTlrikWi0in09jcIv+3V1+9h0KhAF3XEY/HxX5yI8XLwspqs41qZFabKha4VmnpHf7fe6724Zl+rgWyN8xHkNmtuNAornNk2YEXYcUfi6BydnaGf/Ev/gV+93d/F6PRCLdu3cJv/uZv4q233gJAA/65n/s5/MZv/AY6nQ6+9KUv4atf/Spu3779cXTnYxFSLnu+V/pUv1cZezAYZBCkI/w+FpaFUmkNgwFpGU8eP8FgMMBwOGKMkPK3zGZTtDsdJBJxZrZw6IBsbiIUCglnStsGxuMRBgOqm3J6eor33nsPT58+xeHhIep1yvFiLSwmQOjIM8ew7e1t4TdQKBSxtUWF8uLxOEzTQFAhFrriTOq4wl4loeZaAvc34FqPiro4Nv1UC9nxRkjKGMPhCIeHh2g2G3j//ffRarVxfHyEwWCIdpvykQyGAxi6jnQmg2wmgwz7l0wmRZ+5qaRer4uaRNZigU6nC2jAaEQ28/L6BsbjCdbXN5BKpeA4gKkUCtQNnR1OVZtw4Dg6HNiK4ZcLKjwnhbKH2Fg5oZLmMOkDYBoGItEIoQ0mpVsPhcIoFMjhslKpYH9/H/P5Aq12G4PhEI1mU1QaPj09RTqdRrfbxfr6OhYLiyIlMmnmk+N2yNZ1DbZN0V2TyZRpwyQcNpstPH36FI1GA4eHhxgOh+h2eyIbs2maSCZTKK+tIZ/P4dbtWyiXy9jc3BRh99FolHLqsIgwirSyGXKiMmgVQZH7QX6uuegwF7B4FFu93kC328V7772Hs7NzfPjhQzSbTdSqNeEfBk1DLk8lLWLxGBzHwWAwwHw+w2AwgOM4Yr8Mh0PBgDc3N9HpdLBWXsP29jai0Qii0QgCZgCmqTpkyz5zxwmN1dKSPIkTe8DWFIbkkAmIz4GmURV2TddgmgYCARPRaASRSBjpdAqGoSOZSiIYJBPKxUUFfeYoPBgMcHR0hEq1ilq9jmg0inq9jkwmg1arhVQ6hZ2dHULeslmYrPYQNwHJPS6Pp+3YwvGU+901m02WB2UfjXodz549Q6fToUzDzDxpWRYzJcewvbOD9fV13GS+Suvr66LSPDlRmzANg3KneKLuuAnKvf7S5My/t9jePDo8Qq1ewze+/g202x00W23M53PMZnNKFdDrsaiqETQNyGSyCAYDiMZoXzi2RQ7u4zHmsxlm8zkGgyGGoxGGwxFC4RDOzs8QjUbRbDRQLJUwHo9QKBSo7EMkgmg06hM9qNADBX1d5e+0tBAv0C6zLnhdG/zQFVVkUk1ufolIvc9/nvbSBZV2u40vfelL+KEf+iH87u/+LgqFAp48eSJSQgPAL//yL+NXf/VX8Vu/9VvY29vDz/7sz+JHfuRH8ODBA98Qr1WNT9oqs80qu9rHKbhc9W7u6CUlalreVCoJxwHC4Qi63a7wR6hUqphMp2i1W0xLoRj+Xq+LZrOJUCiAUqmEUCiIUqnEtNMEIhGOHICZlohYPHz4EO+99x6ePHki/GNIeKKMp+FQGLl8DslEEnfv3kWhUMCdO3eRz+WwtblFURpBbuaxhSbFG8HYNjERRYNcJczRdxTUI5ETgEeWcK0IACzLwXA4QqvVwv7+Pk5PT/EHf/CHqNfrIkfNeDxmQhQhIuv5PLa2t7HDEoXl83kiuJqGaq2KXo+IaavVIt+P+RzdXpdpoB2Cb9fWMJ1OcfPGTUynM4RCpN0ZugHDNCjpmAaJsrgGCpFQjZiU1EqllUjRsjlyZChMgd1mmAai0QgAMgNNC1Pkcnlkc1nM53OEw2FUq1W0Wm10Oh0loovWKZvNIplMYjabo9VqIZlKAZqGaCxG5ixonneSQDWbzllEximazSY++OABoX0PH6LdbuP09JT5PU0RDFDSuVwuh1QqhRs3b+DWrVt47bVXsbW1hWKxiEQijjDzmbGtBevjAraj5tcgxszPixppp557LviB9ZWjh7ZNWm+328Xx8TEqlQq+9a0/xbNnz/D48RMRrg7wAqFhZHM5xONklnUch5m0hkxQm6DX68G2bZydkZPq2dkZdnd3MR6PcefObUTCYWSyGTL/RHUE9ABzF+fE3YG0VmngZk4iDI6g+I7jiBIwYIgLx881nZmHDJ3QGy1Ie0LTkEqnMJlMEAwFkc6kATiIxij7s65rqNXqwsfCcRwR1ntxcYFMJiN8V3RNp4Rp4TBCoTCLltKh6Y7Y3xrP08HmnIdL12o11Go1HB4eoVar4cGDB6hcXIhw9Ml4DMuyRCI/7tOxvb2Nra0tgbTl83kYJktW5zlQrn3gOVeq3xoXWHWNcv3MmW/e8fExDg8P8f/+3x+gWq2hXm+Q0684mRrzTSOBIp/PsND4vOgDd2ButVuYdToYsH1Ss+vivJqGgVarJVDD0WiMWIxSTYTDESFoi5F5FFsvm7pMAV5uq5AVsa2Ua2RTfUku80sRfQFkuSKGiOvw0ndVgfuECCq/9Eu/hK2tLfzmb/6m+Gxvb0/87jgOfuVXfgU/8zM/gx/90R8FAPz2b/82SqUSfud3fgc/9mM/9rK79B1vq4QV7+dywTiRchCLEfT62quvoVgswtAN1Bt1PHnyhGkqBOMuFiT9P3nyBLV6HdPpFOXyOiaTKfJ5ClelrIkGzs/P8OzZM3zwwQN88MED4XEfDAZRKBSQy1GysHWWIGlnZwfpVJp8M5JJbG5tIRqNkEOmySMpZP/dScX8fAdUe+uyA7KmadB0yhFj23OWWIlSY0+nZB6bjCcYjyc4Oj5GvV7Ht771LdRqNVFV1jRMBKIBJJNJxKJRpNIpbGxsYG93Fzdv3MDe3h5yuRzSqbTo13A4xGQ6we3bt9HtdvHkCTGwZ8+eiRBaTdPQbDYxm83wta99jfwpWPTEjRs3EItFkclmYZqUKVNTkqwJlIiP3ZZJ9njSS4d97kIPVJsS+LzxuZT+RzwaolQq4dV7ryISicBxHFQqFZddfTKZYDabwbZtDAZ9HB4+Q7/fRzKZQrfbhRkIIJfLMfMLOa2SFm9TXp2jY9TrNXz9699Ao9HAo0ePMBwO0Wq1MJ8vEIvFEY8TspFKpZDL5rCxuYGNjXVRhHJ9vYxMJoN4PIZgIOgqeKhpGjElx4A3MZZaRoKPnztoS4ic5mhhWVgsLAwGffT7AxweHuL8/BwPHnyI09MTHB5SVW+A8tfoGmVVXV9fRyqVwuc+9zmGSm4AABoNQmIePXrIBJ4TTCZj9Lo9piz0cHp6Ctu20Go10Ww2sbG5gc2NDRRLRWSzWUQjEUIBuEnC4X4ebDxCkNcBjWXCZVo7wKNnHI6oi6brnM044ikUQh1CuVxGMplEJBzG3u4u8rk8zs/PcXhI/m+D/oDREBLU+v0BptMZvvnNbyGZTKJebyCfz+F++z4ymQx29/YQDoURi8dYQU8dFjPDTSZkMj4/P8fFxTkePnwk5r3VaqFer2HQH2A6mUDXqHq6YRjI5SgfztbWFrLZHO6xQq1J5hdmmOSbxQU1L81Rm1eA9SIqlkX5UFqtJnpdMhNfXFxgMBxgNptSrhzDQCwWRyAQEBGMuVwW6XQGe3u7yGQy2NjYAHeIb7fbqNVqbNzk89fpdiiScr7AbDaFZVvodnuwLBt/9mdv4/z8HNPpDPl8Djdu3GAZvGPgWcdVczjPFizppzsb9lXM3rtfXqStElYuV8YdRtsIbdEV85B8wPP35aULKv/jf/wP/MiP/Aj+9t/+2/ja176GjY0N/ON//I/xD/7BPwAAPHv2DJVKBT/8wz8s7kmlUvjCF76AP/7jP/YVVKbTKabTqfi71+tdqy8fp1/KZdKmeq1qX1bvW0IY2L9wOIJgMISbN2+SScdx0Gg0oGka2u02AgGDpSBvYTqb4vjkBJFGg0W7NBEOh1EurwnHrUAggJOTEzx58gSPHj3Cw4cPMRwOMRqNGOOIY2dnG/lcHrdu32Y+DLcIfi2vi+y5uq4jEKTtQrVw5Pikr4AF7mMiBBcBYbodtqQfCwkrpkZQtm07LIJnzuoMUW2YbqeH/mCAg/0DVCoX+PDBA0Es4IAVigyJiJFiqYi93V3cvXsXt2/dotowyRTi8bhL67IsC1tbW+j1ekin06jX6zBNE61WixEWCWcP+gPEYjHU6nUUi0UEAibSmQxM5oBoGFRx2jHUPDEkhIqxq4i+F0bl8Lq2LKTw+1W42DBMRKI6sg7lYAkEA1gsFkilUjBNE+12G60WObxyMwgPfe90uiiWipjNZ9hgpQ8CAROBYIBFRZBPynA4xPn5OU5Pz/Duu++iXm/gyZMn4PWQyMwYF/lzisUiNjY2cOPGDezt7WJvj/w5eGI7wzBg8NozQrAFNI1HirHzovgxOY7MzMn9PCjCRBNaNUBp++fzObrdnkDZnj7dxzvvvCP8DSjyKIBIJIJQiPJu7OzsIJ/Pi2rou7s7QkBttVoIBoNoNBpwHKI9ju1gMp0w09Ac/T5V9u10Ouh02phOJlSpWpNjCZgmqxHl9gVyI45cRNVga1xgY+dJV2kHv1MaEDWAsj4Hgijk8yjk80jE4uhudmEYFHYfMINoNptoNBoipHY+n2MwHGIwGKDdbiMcDqPX66FQKFB+m3IZ2WwOdsJGOBIGDAMaWw/KrEyo1fn5OZ4+fYp3330XDx8+RK1WQ7fbxWJB2YBNVleMRyuub5BSdOf2XXKS3dtDJpNFPEbfG7oBaMwU7Mh6WoahMUFf9evg58T7Tyb0m8/n6LQ7aLVaqNVroizIbD4XqQdSqRQikQjy+ZxQ3IrFIu7dIz+Tvb09geLV63VcXFzg2bNnSKfTOD09RbValUnhhgNMp1MMBkRrHz58iGq1ikgkykpAJJBOzxEK0bmTGWtlVWRNPSZK80MY1XkQu8Nx36MKPnLuVtfJU++97HuX2c39p8ujhrOCTwSicnBwgK9+9av4yle+gn/5L/8lvvnNb+InfuInEAwG8eUvfxmVSgUAUCqVXPeVSiXxnbf94i/+In7+539+6fPrCAvfrXaZqUP9zA3zMThY15BMMfON9jpGzHlyNBqh0SRv/kePHqHVauGDDz4QZgpehTeRSOBP//TbIsV4p91Bo9lEp9OFpmnY3NxEMpHA3t4eiqUSdnd3kc3mUGIJobhXPfmimCKE1q3VuJ2q6PDIIn10ZpSwXUcSZg0ODF2DrjGx3wHGownmiwWq1Zoo4DgcDlGt1liECUUPnF+cYzgYol4niHVnewfJZBJbm5sik2k8Qanks9ksioUiCswTPxgKioOiKXOdyWQog7BuYDgcYmNjA8PhEPVaHaPxCJVKBf3+AM+ePUOz2US73UYylUSr1UQuR9oRf3ckGqXQynBIOECbTDvUQITXYrC0dFBkDFiTxhcNy86tHJaWe4zGEgqFROr8aDSKWzdv4f7r94lxdslE2Ol0UKlcoN3uoD8YYL6Yo1qrwrIWWCuvodPtIJtJwzAMxsAWGA6HGAyGePjwEZqNBk5OTpl5oMAid9aQSBAkHovFkEwmkclkUCjkkctR6HoylUQsTllWDVZLSRItTRRrk9iiGrEmTX+OYI6Wi3FpmiZC07vdHlqtFg4PD3F0dIRHjx7j6OgI/X4P4XAY29s7VIOK7W8q7RDG5uYGkskkbt++LcoQaJqGaDTC8rxE0ev1cPv2LXQ6HZyeUlKyi4sLDEdD9LpdDIcDPH78CJ1OB8fHxxSuurWFG3s3BLoSi0YRiVDSOM4tLEcyFkVh9g2F50ySz5QQ8pSdIs6dpiEWjcM0Anj9tfvY3trFzRu3MRwM0O50RIbjyXiMi2qFztzpGaazKSqVqjAPlUolzOcLIUyEIxEk4gmMRkM2F6fY3z/A4eEzHB4eUiZoJtxRgjlWpiIaQzAURJkx6d1dfm4p2mtjY50yNLP6PQtrIfYIR2nlnpCmP52Z/Bzmx2NZhPJwM/BsNkO3Q5GVH7xPhS/fe/89NBsNzOczhMPki5dKpfD6659BMpnAWrmMWDSKPMs/UyqVEI1GkU6nxfzzEOpisYA7d+6g0+lgMOgL9JKj1k/3qYZVr0con6bpyGQyGI3GyGYzIqlnJkNZvNPpNCUVZL44tA80UNJIr2lINdPwPSF5C/9MF9Fb/HtZpNaPT/kJEt53+hUehcrPGM/gP18ERVHbSxdUbNvGW2+9hV/4hV8AAHzuc5/D+++/j//wH/4DvvzlL7/QM3/6p38aX/nKV8TfvV4PW1tbz/2cq6TE52nXEUQk0uAsXbNqQ0AjuCwajcKJOAiHwyLx22w2w2BAWRLD4TDOzs5xcVERmSnH47FI/BSJRFyEfDFfUJQHy6+xtbmJ115/Hdtb29je2UYmQ+m21Zo3hkFajfRB4cSR+q1GYPDPZaglR5AgzFoqSSUmK8HrKcttUa/V0W638fDRI7TbbRwdHWM4HKLdamM6naLbP8s/4QAAyvZJREFU7Qrfi1gshlKxiFKphPv37yOXywmH30SCck1Eo1Hh4Oh1XuNaSSxG4buRcATz+Rz5Qh7T6RRthkY8evwI1WoVBwf7GA4HaDabiEQimE6nyOVymEwmyGazmEwmSKVSWMzzSCQSBF2HmKbLTEIiz40C9XINyW2Nl0IJN51JVE5eozGmFo/HEQqGkEwkBXLS61HWUp6z5+l+gvLjHB+j0+2i1+vCti2cn59hNp9h0O9B13W02x2GJHVZNtx99Lo9tJotmIEAy8GRx71795DJpJmpISH8DdLpNJv3qHA25mUJxDngY1cZNJbpGU/NDmjMF2Iu0Dg+b9PplPlhNXF+fo6Dg2d4/Pgx9vf3cXZGTo3hMBXNLJfLWF9fF/0Mh8PI53Msz1ERwWBQ1NWKx2NYLBZIJBIYjUYoFovodNrIF3JoNBqIxqKo12qYTacYDCgSajAYoFarYTKZotfrw9AN2I7DkgYaMAMBaAxd0BSa4JoDBYlV88aogoq4T3zL/5aoTCgUZpXYiYZsrG8IZ1Ge6G44HOLw6JCK/Y0pzP/45ESUNuCFEUulNUQi5Ejv2A663S4VC2SI1cnJCU5OTlhq/BkymYxSg4rCcyORCHZ3d0VOmmQyiWKxiHAwJLJZc9OmWqVdPSfepnHJl5lQbcsSaRi63a7Iq9Tr9fHw0UO2/4/Q7/cBAOEQIdClUgmffeMzwsQTjUaRyWSYkCUjoTjPDYVCSCZpfDwvFa/5Np/Psb+/j1qtJiwBR4eHGI5GmM/miLMIoVwuyxTLOGazdVFzjDvpk5LjPh9+7gTLSIqM1vPMlpwzLCM16ju8lgD5Lrf/iniHYmtS10tdNxVUft720gWVcrmMV1991fXZvXv38N/+238DAArnA1CtVlEul8U11WoVb7zxhu8zecIqb/s4TDsfV7su+iM1ZxpfMBSEGTChGzpsy0YySXVchqMhMhlKt95sNnFwcCAO53y+wGTSFoQ8FoshncmgXC5jbW0Nd+/epZTru3soFouIJxIIs7TTomCgjwjsnW81C6eU4NWIHS7Z2+LgSESGGs+HcnBAaMWf/um3UavV8OQJ1fhot9uYzxeiEF44FEKc5eHI5fO4f/++gGdjsRgy6TQMXijMoIgIqu5qwLtdXAfJAbQIzTc3f3AhJBwO46JCDoEiSsq2cHFxjlaziWqlgng8hlwuj0w2g7W1NZTX17GzvY1CoSASaxEDhNAEyVcBrJCeRjVmINcfrt+XQ9/5/ApBJ0S+HqFwiK15Gov5AptbmxiNRtjd20Oj0cDT/adoNJqYzWdwbFuYtvp9stk3my0R9TCfz9HrEVFPslwWb7zxBtbX1/HG595gSQgzCARMMjcGAwgFQ0qCPMlQ/QR21eTBRukat65psBwL08kMgyFFrk0mY+E/pOsGxuOxyCXDGSYP2dZ1HVtbW1hfX8f3f//3Y2dnhzmdx4RAHg6TY69f6QfKCBtDOBxCLBbFdFbG5tYGer0e7t27h5OTEzx48AEOnx3i0aNHmM1mqFarmM3mOD09Q6vVxsbGBu7cuYNiqYjyWhnxeAypdBqhoFodXWO03oEmqvaq/l5k/7OFYKOIKI5N4czg+5mbEVgBUE2Hw0zBtmUhk07Dsm2sl8uYzefY2d0RPmvVahVT5hhbr9epBs90imw2h6OjQyQSJFz0+300Gg0cHx9jf3+fTKODvoisu3fvHra2trC9vUXh8awwaSaTEWhWwJQ5W/h5uCxaRMrnmkAcKSuyBctaoNVqo9vt4uj4CPV6DWenlLKg1WphOBzi6OgIg0Efg8EAmqZhY2MD2UwWP/ADX0CptIbPfOZ1JOJU9Z1QDUpDYPCaO9zQxuZW0yicPhQOIRqNCiXEcWxEIhHKOj6ZIMsEknqthn6/j16/h9//2oDmI5tBPBbDzu4ucrksXn/9NWSzWebDEhXonhtNU5tEStyohzxnsmaQaxah0hbvnvL72+87IbRIbUo6zPJ/L6G9dEHlS1/6Eh49euT67PHjx9jZ2QFAjrVra2v43//7fwvBpNfr4Rvf+Ab+0T/6R8/1Lq+Uvcp59TvRLkNYVhNob1v+nmcTVQ9wMBTC2loZhmFid3cXsVhMaHSj0YicTydTcJtnIpFEIpHA2toabt68idu3b2Nvbw/r5XVhMtD05bnk0QbLfXXD1TJL7PKaABQircL1umJvn04Joq3X67g4v8DTp09xfn6OZweHGAyHGI/HUCMUEvE4g4o3UGJCV6FQwI0bNygDcDjsOiya21ri2zSGn5s6HQeq2UF95FqSbugolUpwHAfVahXjMTHLgUMOzqFQCInEBTLZLJrNJobDoSC+PJKNtCTDVVzSsZVQ7Ss66kXhvKY3vlcAwAnL7zKLLBbzOaIsz4MZMFGr19FsNsU4ppMJTk5OMBiQkyxpiTN6h0NZfLPZHLLM1LW1tYlX7t5FJEq5e6g/tthHUmsjBut3BjyroIxLfsKFyNlsLsKCB4OB8Nvipqput8tKJpygWq2iVqsJPxSOtN1gTtWFQgHRaJS/zbUP1BWg6GEdmh4EEGRhyzby+RyGwyFyOTILkUPpCMfHx5hOKZx5xhKKGYYhMgVPJhPAAdLpNHTDgBWNUn4cAe9rgGMzB2wyDar5NlSTB/WX+i+VAPfc859mwAQcaU4SiGgmA8uyRCX68/NzBAIBPN3fh2VZFErM6mM1Gk1MpxMkk0lKTsmyaFerVVxcXDCU0xIZuG/cuIHbt2/jxo0bokwCJZOLiCrOfI0dh5AQtW/ePS58HYSfhSZ8zDiK0ev1RFbq09NTl6mW0GZK8AZoojTC2toa9m5QDpeN9XWWGj8uSgFwugVXL8i0Yeg6DHZ2naCklZpGNGQ8zmB7ewuWtcCjR4/ID6jToSR8zSbRhkgYsWgM7U4HxSLlw+J7y3EcxONxoTxSCggZon+1YOH9HmxMKi1xe5Wseua1Io08+86LpHyU9tIFlX/6T/8pvvjFL+IXfuEX8Hf+zt/Bn/zJn+DXf/3X8eu//usAqPM/+ZM/iX/zb/6NYJg/+7M/i/X1dfzNv/k3X3Z3PjFNNQF5mY3f4VQJD6AW+CKmvbm5KaJYer0uXnv1VQbv76PXo+yy/L7NzU3cuHFDEOpSsSTqlpimKbzqvcxErd6pNgnLku2Tb3gSqt3FzNQkUJZFvgS8GilPwtXtskKI5+d49OgROu0ObNtClDlnhkMhrJXLSMTjBB2n07h965ZIvkWmnrgrkoSfPa9z12Xr410PTdNE/Z9AIIC/9tf+GrrdLu6/fh/9fh+nZ6fo9/uoViqYzWlMnXZbwOIHBwfY2trC1tYWdnZ2UC7LyJdwOAzTDLgyCXshXDmC1YTCr9/8Oj7/vAIwT0aVyWbJIbvdwmg4xJMnT9BsNoWTuuOQH42uERNNp9Lk+Hj3DkqlEt58802RRI4KBirmCQcAE8D8IGT1p+scsHHyxH6WRead2XTG6tec4fziHH/4h3+IRqOBg4MDsc947hYeRgyAhbzuYH29jM9//k3cuHETm5sbLENoQCh6GmT9IO6Yq34nBF2CvqABCJhU3dg0TVFKgEKtKXSZVzeezeao1+vo9XpoNptUr4ZF5Ny5cxuZbBa7u7uIx2PIZNIIBgIIB0OCIdEcWXKuNF2Yz9SmaeQLwP141CJ41Hj4PL+eToWuUbRdPB6Faep4443PYn1jHeMJKQ7xRBwTJsha1gKnp6cIBAI4PT0VDu+2bSOTIcQkHo/j1q1b2NzcxGc+8xns7OygUCwgHosJ52haY0sIAqrpU93TXprDP+N1yniFdO6/xqu8Hx0f4enTJ6hUKswMNYemUVHD9fUNYfpOJpP4/Oc/j0KhgPv37zNTYAoGK0XCzw3AHZoBNyWRhgyN7xkNWLBwe8M0EI2FGZ0iQbBUWkM8HkO/T74stm2JPXx2dkY5oCZjlEprmEwmKBQKuH37tqhAz9E+kyHGXHnje0DOmZKbSplGvwKI3yvtpQsq3/d934f//t//O376p38a//pf/2vs7e3hV37lV/DjP/7j4pp//s//OYbDIf7hP/yH6HQ6+MEf/EH8z//5P58rh8qLNq+NjbeXjb54JdFVffD2xe93r4aq6zqSySTlfwiGMBqNEIvF0Gg0oBuG8N7n9+7s7ODWrVvY3d3Fzs4OEnGykXIkgUeg8OdfZaai75clb/U+QllkPRheEHA8ltEnk8kE5+dnaLGCXxcXF+i0OxgOh4iw7LDFQgGxeBy7O5Rq/dbt20gzGzcvuBYIBBAMBBihvlzy90O1vGNWGayu68LfZ29vD8PhEOlUGt1eF5FoBK1WC45DWW7b7TZ5/He7Snp/8p9Qn81TunMCFAiYAAxX/2T/V6fJ9ttjfuPWGQQbjUYp2VQsJqKDhsOhEFASiQQsy4JuELEOBsg0USiQgHPz5k3k83mUy2VRsI/6J32VHAfQHLfg69cnQi/cQoJYC5siNayFRdk/B33U63VUKhUcHR2hWq3i8ePHwldJZXaGYbA6TVRWgsw+GyiX11iadjLzuI1rvB+8D2qfGcqiKaZNjWr8GIbB/DdK6Ha6aGw1RE6Rfr+P0Wgk0gjMplOYgQD6/T4J1bqGfD6PUCiIdCoFQyfkTYvJzKVU4ZwcHw3DbRZ04EaeoHHfBBuaksKfoy5yCeS+0pgZkqf+X1srIRAMYHt7G+FIGL1+D/1eD45ji6rY8/lMCIOapjEkMY58PodcLi8Ec56zKBEnx3K1FpNUxJT+aJrLaULdO1xw4HRE1PVikUu1Wg31Wg3PDp/h4OAAR0dHaDQaorAozzRN6x8WiSxvsyjHYpFKCITC5JvE8w65zxWW+iboNxzlLFJGbkLBTWRzGRimga2tLei6jl63g2g0ivF4DMtaCIdfKuMxwwmrr7a2VhKBEZFIhJz9GWLK6YbwAWP/3MqNjPLhZwTwonHqfvBv13FZWGXVeJk8VnOu6zzxCWq9Xg+pFOWASCaT4vOrJuYy4vlxmYlk4iHvxl+GaJdML5cwIH54p9MprIWF6WyK6WRKsfys4CDXEJPJJLKZLOKJOBKJhKgwyh06vX3lUj6HaOWcyXezXnmgUfksjppQxFEDzUYDzRZVNK7XyWGWl08fjUbodvtYLObIZSmC5O4rryCTyWBv7wYlW8rlRCIxXpSRH1pd1yg7LBiTUbriOP5Exvv7ZevAGSInkuMRweE8U2mr1RRhmvVGHcfHxyxvxSExUE1DsUiRH6VSiZAgltfl5s2bImsu+Uy4+8CLM3qF1lV7xYuquPaMss62Y2M+m2O+WAinyouLc0ZA6Z3EjE3EYnGEwyEU8gVWRThDdZN0A4AX/aMFWLV/hQCo6a79x0tJjEZjTCdTnJ2fo8+Kc3Y6HTx+8gStVguPHz8WlaQDJpU74P44qVQKuVyO1VwpYGd7C2vlMjbWy4QgRqOMKRuyr2LnLqM71H8pwEhzhUwuN51NMR6P0W51qAxDo4FGg3KqdDtdUQ+p3+9jMp1iOKSQZi5Ura2VRIqAZDKJ2zdviVxG3JdD5pTRRLFCFXhzbMdFY1SnVO9+UVE7jcEAPBvwZErZZSssCuji4oL5qjSEgMLNbbwOTygURiQSQSIRZxFTWaRYVfVINEoRb55ireo88k5dJtRy1KTb7eLi/Fycs3a7zUpf8Hmvo9PpIBoj5+k33vgsNjY2UC6XRdFUytZLETalUklEN6pmU5uZY6WQZHnoHKETav4o+tud18dxHEwmhBzX6w2WBbuG6WQqUm6cnp5Srp7Hj9Dv91GpVKBpZGqlaCCqv8QT5FHuqyJl8b1JCDk5sSeh64bogx9Sz9tlfkDXbVe7MSw3fh1PBeHl35e1T1Wtn+to0X4ohpsZX/2My677KG0VfL/qO26a4A5dVsxCPB4njWM+EwSAJPCIcHa87J2X9w9CC+P3+jFJgmgtTMZTdHtd1KpVXFQuUKlc4Pj4BNVqBY1GE/0+hQ3O53MYugkzEBBZKW/dvIl8oYCbN28hFoshlZSVm3kiOwmJq3PiPUTLTH6VsHLZwaY03gE4joNoJIrFYoF4PI7ZbIpCIc8yl/ZxcXEBXdcxHo8ptfxgIPLWNBoNtNttpNNp2AyF4YSIa0yaZiz143m0FO9a8PGKdWZmAgMGtJCGAIviIYQugsViIYgt1+pDIQqp5eYOjtaRYOvtg9SMNVDFXTgg6wPXmrkWys1EDNJfzBcYslTk1UoFrXYb+/v7aLfbODg4QL/fZ7k5FjB0ElIT8ThSGUI18vk81tbWsFaiKI61MqXvz6TTNL+MadKWYeKIV5KFtPSoQoqcb/Y5+zjInbYNcrrNZDIoFUtoNCgknOofddFsNNAfDHBxQWZQSpY3x2DQRyQSwWQyRjqVRjhIFdFzuRwACF8aQlfcZ4zmU667pBVupcIPQVZ2DBOCKGghYJpYL1MtskQigfF4gkKhifl8jslkLASVYDAoHMQ5U41EIohGopR1mNElxyPIciSNv9vbLT96xFP/8+zRzSZFdzWbTVRrVbRbbaE0TKcTRGNR5se2idu3b2Gb1TSi4qkmqyRuiuronJbINVaRCZnHRRVUiNerZ8uG47hz/wDkqxIwTZTLa7AWFgr5nDCbTSYTxGIx8qGZjF3+NJVKBbqui5/c3BMKhVAuU6qKSCTMTPhRxGJxJoDrUCsyf1rap0pQuaqpTJ831QTzcbRVz/dqxX73qT95UxmResD4e0T9IAWOV6HxVUKGeq2aDdRPe+fNm+5e13UByVYr5KPx6PEjvPvuuzg7O8X5+TlLiDRmPis2IpEwgsEQtre3kc3l8KUv/SDW19fx+muvI5VKiSJkJhurYfLoHS+E6W6XAYVcm+YaM80DIKFRXTzXO35N00StnWAwCNu2kWZOifP5HKU1Kr4XCoVkpMFwSFWdGw1cVCpUd+eMKvD2+31sbm7itdfI258jK7y+irq2q8biZwKS41ShdmIRhqYTf9MAx3BEErxkMiHXVHm2rkSRqMIev0a+112/iBsIHbA05iwkF5r0YbGsBawF+T90e1188MEDtFotvPfe++h0Onh28AyTyUQUOEwmklT8rVBAPp/H7t4eioUCZVPOZJDP5xFhjDMYCiIYMKGz0GhXrRqAvLzBKxY7AoHk49HZPhNMHxIz1AAqnQAN0A0YUR2hIFX5tcs2prO5cPK0LAs95ujOCyJ+81vfRK1Ww0XlAtPJBPtPnyIUCuHJk6coFUvo9fooFot49dVXGWKRcKETXGuWPVOTAboFdsm41MgRvjJyj5mGBkfXkDDisG0b8XgMtmVjd3ubmLWAK2k9ecg5D0HnFZc1XvXakTtA9ziLa57+8JFYilMtRzObzRbefedd7O/v4w//6A/RbrVQqVSpvtBsCp7YLR6PI58s4ObNm9je2sarr76KmzduYn29TFl1PcgOr2TspiHLgikhWeYKWqP7fM6FP74OzIcoaCMSCYk9ZlkWcvksxuMxbt66gXq9jkIhz0oPfMiKyHaF/xV3xr+4qLDs2ZTv6PXXLYSCYcRZkVgvbfciKO60Ev485uPihy/aPpWCih9RX8WYVY3jOyms+Gn3L9K8h0/NWMg/A66/+fxMCuph5o9e9Q7KJjsWUQSnp6c4PDxEpVJBtVoRED9HKYJBCqUtFArkeb+xgfX1dRQKBZHKmqMmy4mD3HN32VxejpgpOLr4e/VciTk36LmmY4q54iaiYrGIQqGATodMAqTtTWGJQnlU9uDs7Ayapon6Mlz44ZFeq4iJ2lYJkpc1EjLoN1mMMEgonDJ639kS/g/qvvbsB85ImTOFJt7JTD1MQ6VicDORBfb4+JgiN1htmGazyVAeKsaZZtWgt1no962bVAl6Z3sbyVQS6XRGJNlTUYXlfbxinkgC4ANZmrPlv2lPysg8coSNOm60YJjJiIrfoVAIh4eHmE1nqFWrWCwWoopwLBrHfDbH+fk5bNtmWUzjQqP2mnI4s3eZVDwdpbF7ei3+du91TdNhGDQejiAqX146H2qzJKEAN6P4KWvquVQVSSpMaYkoqnq9LlIEdLtdNOoNYaILBgOi6nk6nUEhT7Qkl80hlaZs1JFoRHm2zNEi58CNwgpMzVk2n0kkaBlJ5j9VEy59rcNx3Mql41D4+2w2Y5m1KdePYZioVKosom0kghEAYEZAORYLC/V6XSB2o9FIFB/18jnv/Ho/X/WZ33eX0dHr8s8X4bOfSkHF27xCip855eOUIF1a6CWHVe3bqj6t6ucq84YfIVCv816jNu6zIh21VKFOF4fRcSBCouv1Gp48foIPP/wQf/RHf4SzszMcHh4CGtVXoZDRkIh8uX37DorFIu6//jqKxSJ2dnYRjyeYBsmyc8LxEVKWx+1tXgc+TjTkT36f4brvOluBRx545zMep3ohtm0jGo0KB+ZqtYpmsykiEebzOTqdDr7+9a8jGo3i8PAQ+Xwe3/d930cM+NYt4fy6CjW5ai949/fy9WxNlx/Aol/8CZWcc5VIQ+wVTdNcMLl6H/+81+sxZ+pzdDsd/PHXv45qtYp33nkHg8FQ5M0pFAoIhUIoFgrI5nJ47bXXkM/ncfv2bSRYoTiex8JgJsGrwrzU/kuGwxkK8wNxeDg9sEprtl0Qu1wfimoxYBgyzxB3Pr73yj1sblDJglqtimIxT1FMz55hwvLBzGYz/L//9wfIZrO4uKggk+F1t1JYXydH5lQqKYqJcn8Jx1l2AlUbH8OyBi3rKKlj8bv2sjn1ey8XBi7T3r100bIslnp+iEqlisNnz/D222/j5OSEBBTHQSqVomg/llcqlUxie2cb5XIZ9+69iq3NTZTXy2QyZpEx/P2rUWqfgfGKe2o1a7rL9VOlNfRMjjQDtKfoJxeC+KWhUFBE8CSTSYRCIbRaLdy4sYdWq4Vnzw5Z4c8z9Pt9tFot2LaD6XSGSqWKDz98iEg4Csd2sLW9xWp2JUR+nlUC4lVK8qp1/24hLZ8qQeWjohPqM/wW90Xa8yIa121XPe950Bo/IcZ/HqSw4tcf7mjaarXQaDREdeb5fI5YLIpYPIZUijScZDIhGHmpVMLm1paouEuhu+YSZOnWDFc3L9FUIXK3griaIC9r3tfTLrhmlEqlUC6XhQ9OOBxGLBYT1Xg7LI35aDTCeDzGyckJRqMRtra2oGlU5oBrR1c5v6mCyXW1JvGd6nW8/GCJNa0kXPJJkumsPoscUev1ehgMBjg/OxO+B7VaDZ1OB7PZXBDtdCqDaDRKCf5yWezs7CCXy1H20EgESRYibZo8akp0Hm6GS5+5v3f7dKhrrV6vacpYOFDgzQ7heFE493nimnQ8HodhGiiXywgGA2g06iIKhOrtdKFpmsjAfHx8jF6vB8Mwkc0OEAwGWE0ayjobCpnKe93Ill/7OPgMN6Euv8sf4Vm+V/4+m81lfa1eDxcXF6hUKmg0Guj3+7Btmyk6caTSaeSyWWSyGWTSaWyxCunlcpkQ2VgMgWCACXFXj10oRMon7v67lT+/MXifqM6F/9kkBIvPVaFQQDAYxGQyYY6mGlKpNHTdQLvVBkBJMilaiBz6a/Ua0c1IWPizcETMj8Y9j3L+STEBfaqjflSzzlVoyoss4vO0VeYo77suQwguY0Kr7lutXbnfqV63ijF638Hpk+Mwz/xOG/tPn+L3f//38fDhQ3z9618Xnuq3b9/Grdu3sMO0Hq4RpVOUWpvX4uHZcTXVn0AZkgrfr+ojJ5xcW1YZqHcOlmFd9/w4iiXA+x6u9VMuEdtl++UmDV7MsNfriuKA48kET588QbVWw7e/TZl4J+MxTNPEl37wB7G1tYW/8Tf+hjCFBQIB8U41R40/SrIKPbkeArPqOjfs7b+XRXkAn77Q/ZqAqv/kT/4EZ2dnePvtt8l35/wc88UC2UwWqVQKP/CX/hIrkHlbOKmGQiEkmbYYi8UpNb/QGrmVyQ/t4YzU3TeaS7ct/7KzSO9gIcCQYwLIlGUtLBZ5obO1AvPrkc9dLOawLRujMQmslcoF+v0+Hj16jE6njUePnlB21aNjKisxGiEQDCKbyaBYLOL1+/exs7OD7/u+t0RotJxfdR29pgz1XPsha+q8kNAl84f4XevdB/5mNTp7EP1ZhfgCGqbTKQ4Pj9BsNvHO2++g2Wzi8ePHaDab2N/fZ1mEw9ja2sJrr7+OjY0N7O7uIpNOi7INXCEIhylKhkcDcgSVxme75keO0/EIoO6QcN5fP989/t1VaIVbGJb7h3/Ow7Ank4kwe1FtM4qYfPz4CY6Oj/D48WOMx2OMxxNksxmkUincv/86tre38dZbb7Gq1FlXmgp1Da6EHXkvPwZBZRX/vqx9qhAVtXkRB9X08lFMPn6E+LLv/a5TTVGrTELqPX6a8mVMxfuM65gLvM++NuTLfpI9eYrhaIRut4vhcIjZbIYQQxcKxQI2NzextbVFSa8SSYQjYUQjUfJmZ/kt1HTPan6Cq8bI++0m0FKDvlKb8jD+y8R3P0LkFXp5ng1d1xEJR1gG04nwVRmNRtBYNdl2u41up4PxZCLq80ynU2GXlmNz/+63TlftpRdtqqCnCv+qAOPtn8Zgb3V9eCbcWq2G8/NzVKtVViaBQnaz2Sxy+Tw2NzdRyBewvb0tnUlZOLphUJVnBcxRwATJCFbvY6/pxz1O8VgXGspf5PcsTRm+RGncjIEa3xNRLYZQKATLokg9qmOVxnQ6Y6ngKYdJt9OhsPj5HLbjIJfPIxqNotvtsftt8DpSqubvHrvXiXbVWHzG5fs5/+kVhlYhOsu0y49OWpbFIqSaODk5QbPZxNnZmahSzQXWYrGIzc1NbGxsYGtrC8kkZd4OslpmgYDJ5lkVqvzR4eedg1W01E0/lp/tuPbmcuPP4mgIRddZCIfCiEXjIvJuOqUUCZ1OF/V6HcMh1fQaj8css22EZUaeLZlfl8cGn3n5ZLZPraByGbFeJRx8NxZslUDldx3/Hljtue0nwFzHHukVivxMDvLd8h28Cv18PkO9XhdF4er1BhwA+Xwer967h8+/9Xm8+eabyOfzSKdSCAaDLILHPedcUOG5PJbH4j8f7FNxjaZpwiFPXid9VJ6nuRnWMgqnIiv8O35tJBJBOBxGMkWaA0+ApxsGcrkcTk5OZFQIg/97vR4mLBGUn4Ci9kHNWLyspT4fvOuHJtBzVQ1SQRc8worfq/h95BBooV6r4eTkBO+//z729/fRarWwWCyws7ODTCaD7//CF1AqlvD5z7+FZDKJfD7H5lWJSOMIigMPuuF/blQhQ9Xw6XlSMFUz7AKyZhW/R9NY5Ao/B6IAp3u++H7w01wJXXEQDAbgOCaKRXKiLpfLmM/neP31+6w+0CYuLi7w9a9/Hd1uF+fn5xiNx1gsyFm9UChgNpshk85SiHAkLLL6cl8VXddW9GN5odyClfjU5x5/8wf/zlaifaRgq76HzjWnX4bBq0QTKvvkyRM8O3iG3/u93yOhpdVCOBRCPp/HxsYGPvPZz+LG3h7eeOMNkayNM3eeZt5ieU+kmMHRCh8EmyNDGpd3l5MQemnpqrV1Czaa529/wc//fGowDKpPZprcSTjN5mATO7u72NjcxPvvv4/3338fFxcXOD09QzxO0Vqv3ruHtVIJdi631Hd17lWk75PePpWCylWoxmWIyidh4bxCh7epB+gy9MNvvC+78eNn2TYmkwkmY0INFpaFQCCIeCxOxfoyBE/GouREy3Na+KNFcpx+B81PQ7usqYz0RZG0697jt59Upzae6ItyVIyRz+fR6/VwenoqCs6JOVHsTqoA+aL9v05//QQj9hdUTfEyM6T6Pf/IZpVtB8MhOp0OeqzSMM/LQplMC1hf30ChUKC9wgoHUrgrMRNRgZn9/3K0g/dllRDlumppLKsFPg1cS7+sXXX+NE3W8uEm0mw2C13XsbZWgm3bKBQK0DQymTmOwwp1dlCvN5BOpRkypyHkyuqt+c6J46gCpRTQ+PjVeVrex/Iav+Z49ulla7LqvFqWheFwiMGgj16vh+FwiPl8LorzFQoFrK+vo8iSJsbj8SWnUX7G5TuuoA3QAM1Z+mzJB0nMwypEatXf/jTrOk0I0syPhRQvB/lcDv3yOqrVKjKZDJrNJgnIrJQET1B5nTdehep/UtqnUlABLjfRfBIW5Hn6oG4mFUlxS/cv/tzn7ZsferOYL9Dr9tHt9tDt9gAHKOQpv8Vrr7+O3Z1d5HN5ljI+yDQZL2NclYn18n6wu9lncmwAXJVwvXPFme+LCi1+875MsN0+Upw55fN5RCIR/MAP/AB2dnYwmUxwcXFB0SuGwXJ0UMI07v+iPscPSVnVNzHa5yZKboTKj+F7UUre1JweAGBZC0xnM5ycnODDhw9xfn6OTruNe/fuoVgs4of+v/8P5bUybt26hXg8jkQyIROGsborLs3cluOmcg2W77i5OZB3TdO4T4IGNUpGRRC9mqfXd4WeK8evaRqLAFIFG3fOIlXI5igVPVs+V9d1qiocCODVV18VRTDPz88xmUyFyYwjddPpFIVCEeVyGYlEEjLKxCtguvvrOF5BRs7PKqGO3Q25JzTX3F0lRMu1ciOlHH1xHAq5bTVbaDZb6Pf7mM3miEaiWFtbw1vf9324efMmvvjFL5IpOZ8nJMUXlaUQ8atNLR6UCIy28v+uSRbk+uqeOVBpwipnWvf8yGe6L9I0HSFW4d40A8hksgINmkwm6Ha7CIZCIucRf6ZbqeX7X0XKv/u88DrtUyuovGi7Sju/qj0P03tRgekqRnMVInPZ+6+HGiiEDxBOjF6iHwgEEIlGWT6UyFIkzzKDdRNUdhU4ISO43q+fXojaTTBVIcXNUFcT1KsO8EfVQHi+lHw+D8dxkMlkMBwOZUj2CgHkumt/2XfP329VE1/9Lq+wojbbJpPIlPnpzJnPRSKZpLT3hQLyhTwSiQQhbixKxo9xel+xajjutZQC5Cq4HR7mtEp7JrSLMXXeAZfioLuEO/W93r57x8ejNZLJJBzHwebmJuAAuVwOtm2jVq1hMpmi1Wqh0+lgMBhgOp3CsR2qXK17z8UqVENe4iif8YKF3nm6DN31CipqU4XH5bn35GdyIIRyTaPEislEUqApuVwOyQRFC5LTvXdsyzjIKlTMdx+I6fImonNwicwjxrKMnmgA3O9fJcx5BQp17/JLdU0DDB3BYACRaESUjyDlj+qd8fpG3mSgvF+0xi9G97+b7c+FoPJJX4TnaX5+CMDHP0bvgVcJsW3RAeBmDV6DJx6PI5vNUqhgIoFAILiEBHA7OvcD8Na6uUpTkwiT93tvgiaq36ESE543wjunbhTnMmFm9bz7ISlq4/lk7t69i01mbwaAfr8PALCYLwu/l5vJ/JLAXcVQPo69sUoo8WraPAePZS1YyvgBeixkXdM0bG1t4c6dO7hz5w4KBXIGpHTxal4KrvG7fVH4mnvHp97L4XOeWtxxSGiSQrHbZKA2d0Iw9psQUhzBvzSwzLumG0VaZgoSSXE9z/VOKvS3sUEhtoVCAUeHR6jV6zjYP8Dx0TGGwyH29w+QyWRRrVWRTqcpp48G6DAgGaTKKDmKJIfkMo9oKvJ0NfK2jADIaBjevL8vK1CeM8p9XEB1puJhqj5889YtvP7661grlVitrwACQdPdf9+fy31W963XPAnuFL00ZG3F9eoYvDfJPaD+Lc+s/7n1CnxqxWMqfaEhEAwg4lCNIp7uIRolh3P+dywWExGUq54vEbhPfvvUCirfKeHkugjMy+6Pl0l9522M7P0KehFgXvdcK4xEIgiHwiTlqxkZsax9eTUIl6a1dI38WxJHt/biJriq5upPUFbd6zYbLCMIq5ofwuR3fzAYhGVZCAQCCFyCplz1PvUaPwHmo+wNP5TBT+NWmZskjBIp4+NSTVmBQADhUAihYBBBEZquJkj0Z3L+ayk1crdDqwHDkO/3Qzbks/0gf74P/JE7R3HSVMe7/Hy1D3Ju1WulkGwiGNQQi8UQjVGEEM+L4Tjkj8B9EYRg5kuKVjBQ3ifIX/y2yIsizOoevBLJUHrigM5KJBpBPBbHWnkNpVIRuWwWSVbvSzqt+/WPr4WzYi3kvlR6u3QdV5zke9TfVVrjQJrS5PPkz9UoxtIMOI5n7/ujY1xxMQwdpmHA0HXomibo7qr6RZftzcv6xO//brZPpaByGQS9qn3nGf2LvdubMv87+W721uVPNE2UU+dRLlRJVTrQBoMhV7VR9f3qP8NwaydyLTmTc0e38P7zeVEddLk2ze/jApBkVJryDtkfSVzUz5aJ7mVIBmfIqtDhl58myLJmcsjWcWQ+kusgNx9nc6MXqkB3/b7QeKRfFZ8XnhY8GAxSVeNQCIGAu76Rn8Dl30dqnHHzzL9c6AkGA9A0w2c+3agdR+d43hov51fXka53C8uyYrGbsakok8z2vMwc1THzkONkMoBEIo5IOCyqazsO+S45jkxQRkiEt79egY5vaGBZUqHOatrz0U2VqXrRvlUmBj/arJ7rQIB8uIrFIt58803s7Ozg9u1bCIfDCEdCz9E3uM7xqqYKJfJvx1V3SNIYWjdybLXFvTw7sFdAkErSsl/QElKnzJGbzkC5h2iaYRgIiFBsvs9loUjaK35Rm3zfvZgA+t1qnypB5aOgC1dpx8uw5fXvX3XtdaVVP031eYj4ZZvyuuNeCQFDarE89JYfcC7dC98UcVC98+lOZKa+j5i2LbzZp9OpYHTquHhGRu7fYJqm73yp4/ZCwF7hgFcH5mGrqsbD33fdtgrlEM9TGB0Uwc17v5h3T99XXffRBRxtxe/XvFsZo/rP8XzPixb6vULVMlc1dT4WiwWm06lynw3LMoXQwBmqt4ifNAUuMzfaBzLrLu13SxEsJRInhV6ZN4XOgD8Td79LojqSwUkBwLYdYVoNBYkhqZXE3XvePYdSMFPfJTuhKe9+nuaHAqykF559KzV9hXZDY5WCg8ysQT4phslLXajP8MmVxIUtF5KhCiOSWfP1s22banHZNixWW0o6/vIzL+dYJnik54cYcswVDv958Ee3VHroL+BxhcHzuUY+SfxyuaevDjv+biMkz9s+VYLKx9GeV+j5uJAZdSN/J+C4646DH3QqAz9hGRWncBzHJd2bpuEyznBp37IWS1ldVVRkPp+JMu/T6RSNRkNUE/X2MR6Po1AoIBajVP2qYOFHAFQkh/+tNp40abFYwLaJAWqaFMB4HR6137wt++L4192Q1xsyQglwQ/pYXn9v373fv5y9oa7Y8wv+qhbKfZeEcOBBw1yVveGfdXeVsOJFKyYscR5/RlhES5iK0KALh0zOxLl5iJ7J3ynfI4Vpyoczn8+xWFjs5wLz+ULki+F9D4UoQ2o8HpfnQHObN5WRCObLmaP8Sd/bto1gMIRUkiqLc2dKXsnYfy2A5fXj71CEEw24GlFZZpiX7WuaL//zpX6maRRpw81o4TAVK81m0kglE8J8TDl91L5IZMJxPDTR1SU2RkWI5PtpOp1iOp2iWqOKzOPR5NI+q/uQ9q6BLDNNxeNxRCKRJeFxubk/80ac+Teae75HNA0irxDgQDc0GCaZhPxMzc/TvpsWBr/2F4KKT7tKM/DTYr3mjOss8vNuhMvQgZf1Hu84/J7DNUeulXBBZcQqA/OsqstMaJlAqwxG/RuQmSpHoxFOT0/R7/dxdHQkGBG/T9M0mAbBxTdv3USpVBJ5KUKhkItYeNfGj/lxZ87hcIjJZIp2izKnTmdTlgOFiFGehUiqTmve+VIFh1V9EHMBtwniOuvkRV1UoeijNE1QdT+N0Eu8L0M6uIO0J5TV80T1D22lUOT3nmXInK/9eDxmGV+7cBybCSgGotEI5fiJxxEMBoRZUq4RP/vuN+m6LopvTiZjlhF0gsFggPF4QtmYpzNMZzNCyFi4cTQaxfr6OlKpFBIJeud1GqE0tsfEQKasRCKBeDyGaDQqYH51zfkZlXMjtX8+b0IY092fXb51VtOeq1AU36cpQpiwTDFUjJvwFosFS67nzr5LJ4blC+GIMxxojib3ksZ2scOFYPcetm0bo9EI3V4XDx8+RL/XR6VSFciwn0lGpYPhcAihUBg3b97E5uYm1svrlPtHkwkgV48d4jnXb36lQMCivfjZcpgZ0F/I8n3qFcjsd7v9haDi015EgPikLezLapebHyRRmUwmlMhLSdTEtQ1e4RUAy2Srue73ohqcWc9mM1xcXKDRaOAb3/gGarUa3n77bfR6PdRqNUHITIPQjb29PXzxS1/Eq6++KjziOdHwjkklOF5hgjOkZpNCQB89fITRaIThcIBgMIjy+joymYxwGE4kEr5IxmUojjqfnLjAkVlun3dtPp49uOp5XoFFqqqq4Ed94v2TQuiSILaSUl9OwTVN/SkRrWAwyNLMd9FoNNBkBe1M5oiZZ2no19bWRNZPjri4EQx1XJRFdT4ndK/T6eDk5ATtdkeUAWg0Ghj0BxgMBgJBWiuXkc1m8fnPv4mtrS0mGF0lqMh9YVm2QB25EBoOk5CczeaQSqURiURJUNHVdVGRBkd5piau8DUngKMNq+ZcFYaei8MuPccrFGqQgv10MsNkMsF4PMZkMsFiMYeuazDVSueawzcWY8wMlYFaXHC12AvQeWu1Wzg/P8fX/u/XcH5+jrfffkeUu1DPqqp08b6n02mkUyn81b/6V/H5t95COBRGIpEQ1/rN26r5UNtldFfMlwZws5H0xbNg22Qu/wjL84lrn0pBRWUAV7WXSeA/boHlkyIMee3LHFXhaAqvkEtMSR4cVXuiQ6Xa890IwWw2w2g0wtnZGSqVCp48eYJGo4FarYbxWL6HzDLE+Lq9Li4uKkin0zg/P4dlWYiEIwgEA0uVRLm/ATU38eVmrEqlglq1hvfee4+KCw4GiETC6A8GKK+tYX29DIBMTrzfPI35ZWvlCwdzoc32T/D2PM1vH15XY7rqvtVNIjCukEof9E/95xJUGd/kBNiLCtD93ncCAtaHOzlbt9vF2dkZDg4OUKtWAfbOQqGARCKBmzdvIp1O48aNG5RkLpHw0YI1ALYQssZjSsx3fn6O999/H61WG5VKVYRdT5gZgTOqGUMa9/Z2kclkMJ/PloRRgvAJBVAZrEANHAeWTefJYqYRmTLeC/M7yk8vOsq1bn4FewdDIBzbgabJqKirTDp+SDL/3O+6VaY7td+aToLGeDLGaDTGcDTCZDpRmC/1kR0YKeS7vYKxSgjza5ZlYTFfsCJ/Y4HEzecL5bnSj0kVQMajEUzDwEgIVIsrEdHltfKZDWfZ/Om9j+ZD/uO+exKhvj7tWMUzPyk851MpqDxPe5kL8UlZ1O9UcxxJLMj0M8R4MsZ8scCCCSscwhWHl00RHSp3Nk/V7DFixQ2fPHmCo6MjfPvb30an00Gr1YbjODAMXQhI/D3NZgvPnj1DMBhEsViEbdlIJVOIxqLCwU3TNCXCwF+bpKqlQzw7OMDR0RF+//e/hna7g36/j3g8jmarhZs3buD27dvQNR35XB6OLoUU1ffCNVdYpR1pwuxj2RZgUUkC3k8v8VhF7C97x8tvfsTW7djn2xePoMIz7/qP6SpC615D7zsbjQaePn2Kb3zjG3j69KnwOeLVu998802sra0hHA6jWCwiFov5Okg7jkxfPhj0sb+/j0ePHuH3fu/30Gy2cHFRoWrZ05kniEZDv99HqVTC7Vu3kM/lhYBN41evVaNF3CYcx3FgLZjwb1lwAOEwriZRVO4S/4SRTSgE6noQKsDNStL04+8j9FGaH+KoNpJTHeGfNhgM0O/30etRgdPFYgHTNOA4MiKLMsn6MeTrCyl8bmezGUvfP8RwSAkJvUIY779hGOLvga7DdhwM+n2MWCFWbx22a86QGIcbkVz1DB49t2DKoC1oLaeJf4GofMqauiE+CWacT5JUe5kWxBksPyTj8QTTydRlW14KtV2iIdx5Vg1htTEY9NHptFGrVdFo1DGZTOE4QD6Xh2GSn4FjkyPcjAlJjmOjWq0hGo0im83AMEzk8wXkAIRDYcDUKPzZx/wCQPjWNBoNdNodVCoVVKs1DAZDoTGZponJmEqwWxaH4w2RulqiANcnlAJNUP62LVtET/HPL1sj/tO7jz8KPL/ibbxHrr9VE49bWFHMW0ywVZuuaT7+Feo1Xk35it4pKA1Hxriz5Hg8xmKxQLVaRb/fRyaTwWQ8wd27dxEKhVAoFNwOv5AI23Q6RbvdwdnZOY6PT3BxUUGn3cVkMqEonGAIZsqEpjETDGO8uVwe6XQa0SjVLdI1ry8TN8KwudF0PqO+49V0HiGmmi75XF/DhOa6bHntlu68VLh4OXtLfYzDMxhPyQ+I/N7GmM/nCARMQIheqmnE/Qy1u24zkHqN9OfipsJ8Pk+moNamW7mC3L9ccORmKS7YcvM3p3vcKfi642a98ozLuz5SgHGUkg2SvnoVm+U+rFJmPkk8x6/9uRBUVh22VfDaVcKKlwH4QZ3f600doxsW9OYDgHCm5fbk+WxG/zzCCsCODqfJynPUQ2nbVHyt2Wzi4uIClUoFk8kYAFAqlRCJRJDJZITD62A4QLVaxWQyxcXFBbiZKRQKY2tzC6FQCOlUGppmQ9d01/FVDz9nZufn52jUGzg5OcXFxQX6gwFGoxHGkwkM0xTj5FoLZ25yHDLi5zIiL81FMgcG/9wr5K16ltfXRn3+x78P/Z6vCmnu/rgKpTkyGsrfdLG6qcKQV2Di77IsC7PpFOPRCJPxGNMJc3ZlmjMPZe/3+/jc5z6HaCSK6XRKqchZbhsAzFdqjn5/gNPTUxwfH+Hg4ACnJ6dotVqwHQcB00QikUQqlYJpkh8MR4lKxSIymQzicUraphsy14o6jTJzsuMyAXFhj+8VVUjRNM9zwJ+joimOnB4H5MHhMjEp3Vh61uoMtS8ipPjRFO9627YNa2FhMh5jPBphOBxiPB4zpCBAfeHjgZtuLI/BgQy6lt/zrvN55Hmf1tbWYLLzzQUV7zgpymuBTqeDZrMp9i6nf7PZVJh//HiE/5mkxaG+ecPD1d6rJh81QowLKbZYf7d5/nsfWvlUCiqXSYfqobuunf55rvkozOEqSP9F+/SibTWTdUPTagIv23YzV3rO8jN42Koq/XPG5TgOxuMxBkMKSbYdh6VXj+Ktz7+FTDaLG3t7cBwHw+EQ1VoN7777Dmq1Og4ODuA4QLvdQafTQbfXRX6Sh2XbYCXuXIQeAGazBRaLOaqVKtqdNt7+s7dRqVTw6NEjNJtNweCEEGEtlqISeDVot+B7tYDBx8yv4Vqc7Sw7napClfoMda2uuweu2lNXPcfPpn2ZUMWzZobDYZngbTIBNGIk8r5r9Z4xm2WNk++dbreLVruNZquFwWCAyWTiytWjQuUOWJ0cDyIFkKbc7XZxcXGBb37zmzg9PcWHHz7EaDRCNBZDMplEsVhEPp9Hea2MCEt6OJ/NsVjMRfjw5uYm0uk0DN1gAqhOodEsD4ZIJqYgKSRwLRRnWlsIJzxfBn0AYTr0N4XwRaMfOnRFGHKfZX6hVxlxr/PSI10y64vsLe5jwRm8yYrvUZgvT7Cn7n8/ZEAKyC4laOn9cgyGYSCdTsM0TXzxi1/EaDTCW2+9BcuSNYdUE26/30ej0cTBwQE+/PBD9Ho9VkBxRv40kwmmsymZcOF/Vv3n5/oChZd+8f0sTcXycykAu/ty1buuMiN/FOHnRe79nhZU3DCX//cvG+247v0vQ2i4Cqa7jpbzvP24/DDxa1RiJZ0/iaha4MRyle+BPGTquwzBtC3LwngyxnA4xHQ2g2M7ZMLJ5fH9X/gC1tfX8cYbb0DTNAwGAxweHkLTNOzv76NarQIAOp0OOt0uOt0uMxs5HqIh+2NZC0ynM9RqNVQqFbz77rs4OzvDkydPMBgMMFS8/znasbAWmM3nmDPkQ/W74DC8SjAuE2w1TRMarnCitZ1LiYWfuWe1+cTdrmNGel6h2cXIwHVE9pvjuAWVSATBYNCVEl6Eml9i3ll+Nz3f4TAdJCzf6XTQ7rTRarfQHw4wnkxc60DrSMIENIiCft6pXiwW6PV6qFQq+Pa3v43z83M8eviIUL1sBuvr63j11VexsbGJvb09pFIppFIp0q5Zrh8AyOdziMVi0A1DOSOUAl0k6VIYrePwPloeB0kw5qkJ4YrGY0PNgbJqhV171HELKn5MXz3n/G/XFAmZXPO81W2g8d+b8jPblo7kAMj/JmDCYGZV1ezitpBIxMFNU7iQcjn9MwyDhY0nkM/nAVBOI95PTdNcCdxqtRqePXuGb30rjcFggJOTExJUeHqG6VT4qXj363UZ9PUuk/vY63zv/ec909+LiP/3tKByWVMZy8e1MN8ZeP2jS68ftY/eZ6jdsW0bs/kMkylB6+PJBLP5HAAQiYQRCgV9HP7cRIwYhU7mAADQNCSTaRSLM9y//xkMhyNEY1GkU2ns7O0ik87AZEwuGoshnU5jc2sLw9FIFGijxFhBBIIBGKasZisPrRgNxuMxy9FyiOPjYxweHqJWq4mkcpFohJjGfAEzoGadZP90ntZ6OZeK31zy+VxljhRzohAYb6ijl+hcZtr0fb7P39cxe17WVF1ehosC0DWxrqFwCLF4nErWB2Uklqz8y9/tRZPYp0vZQnUXUbZtG51uByenJ6hWq2i1WrAsG6FwmJwOHQeObVPCt2BA7A/d0KDrYFEnUgudL+ao1WuoViuo1aqYTMaEnqyX8dnPfhabm5t45ZVXkE6nkc1kEY5EEA6HMJvNsWCFF7l5gfYOn2sSToR/k4+5DMx/i/s/8fGapsHmz4RusHnT+b2ccWuAok1rbH1pX+mq66bnveoaePeK/FRTPlsWXDzne2Xjgia/Xgoq4XAEsWgc6XQaiUQS4VAEwUAQmmbwK4VAL9BJAHAUJciDCq0am6bpMAwZreZCjDT1XGsIBIKIxeKiAGCtVoNt2+h2u8ynrYpioSiy6XpzLPmZg/jnUgF0I4WeyQUggxF4dlyJ5qp0gj/jMnObOyLrkyrEfE8LKlchKh93Uxf141zgy0xZL3L/i9y7iunx2iqz2cyV7A2aJgqpUaZERho5XAnOzMSgoGmUmhqahlgsjsXCwq1btzGfzykLZzyOcrmMaDQqMj+Gw2HEEwmUSiU0Gg3EEwnMZjPMZlOYAZaMzTAkI/QofrZNGvhwMMDFxQVOTk5QqVyg2WxiNp/B0YBwOEyaOqYwDFORUMBgeLd2S3OzWnjw02w4dC+EGHCtV52i1ajMddfR+7cXDr6KYK3UyhSYTUVSRG4PxiMCwSAi0QgCwSAM0xRCDK2PLCGg/HC9W0ZULDvg8u8H/YEQUrq9HmzHRjAUFAKsZVEyQjNgIhAMiBwk9M+9L+eLOVrtFprtFlqdNhzbRiqdwvb2Nj7/+c9jc3MTd+7coeSCwRD5Kxk6i9CxBQPh67tYkO+DSOPPBBY5SWJEcpyKSZEYp4FAMCDS8rtv54KJ43oe30/udfMiILqnD4o4c10tnza+59n+TUXC5Ge090KhEMKRCOLxBGIxqhVmqikGHHLAt22HBEx+VjQlJT/72z0en14zBs9LHKgmV++c8dxJsVgMiURC+DMNh0M0Gg20Wi20220Ui0XE43EXGuM9+/4mXD4ny30VQ3cgTD2yjtZVDulutFDoQ4pC9Dx85bro7ctq39OCyl+072xzHzLJOHiNH3J4o9wDhqGL9Plcq/BmjYQjGTR/rqbpMA0TxWIRqVQK6XQajuMgFA7DZE6LHKEhGz75xOiGDsM0YJgGAk4AmgZEo1GR0tpUzAwkCEiaOh6P0Ov30Gg2UG/UKYlcwMSN8h7C4QiyuRzm8zkODg5E6nXTNESVUu/88LGon10mbHKTh6ZpMHRjSeh5mU0llm6/A+kftAqF8RNqlItcwhb/njNl3sjpUOab0MAz164WjNwKiQp5U04N7iM1Go3Q6/VwcnqCg2fP0Ov3YZomyuUyAoEA+v0+JpMJur0ubMtCKp1CJptBLB5DJELCqGXbMA0Tti19Xc7Pz1GtVTEajRCLxrCxuYH19XWsra0hkUi4fLQcODBgQAPLTKopTBNgieB4PRY+PvccsekUDFciKSbCkTBVFo7HEI1GEAwFV2RA1Ty/uROsKW/yfLaKSSqM1fctXKzxF4T8BWW32ZLGGECAReHEYlFEo+TjEwgEYOgmSJhyANhiDvm4OJKimoBWNU7DZH9kf72MW933pmlSRetoFNFoFGFWIsFxHKGwcUdcP0HaOx+rFQI/RMU9f7ZtuXJWSeFjOZLOvRZiFlY++5OGrHxPCypeG9x12ydtEXhb5R9wVX+vum8Vs/yoTbWP0oGRyY6IoVN1T9M0ZYpnwGU39h5gSj1uIJlMwnEcYTc2DAMONCoQ6EjCaVkWbMd2EXTDJGYfDIYQiUSUrKPMmZZmR4AAPLlcv99Hf9CHZVswDAOltTUkk0mU1zcwmYzRbLVg2xY5zrLMoxwFuLZJB5cjI5quwrjaVfR26dmXfee1XXvf7WfPXvWcpev58+EWhHjOCf43r43DiauCT3vUdrZfFKSE+qnC83L/UTK2MTqdDhqNJmq1mggd5lW8G40GBoMBZjPyI4hFY4jH46IWkANQWKlBL5hOJxiNhmi1W+h2u5jNZkjEE8hms8hkM0ilU4hEImL/z7W5EEy8mUl540KFHDLDFp0V08BmgpsWeVRSmBXBM00TusGUAHj23hIa595MKkN351eRwoq6HwQD9zxbfMYVAP6l+OG/l9T3q2iRaZhUdDEka4WpkXV0dnUAHJmC8rl8Jr1LHb86Hg4CLtNGv3Xj1/BwZlHDjGU7BuDK6cR6I+57PtrrF/nj7isX1J83wdt1uvE8/PE7ZdF46YKKZVn4V//qX+E//sf/iEqlgvX1dfzdv/t38TM/8zOuTf9zP/dz+I3f+A10Oh186Utfwle/+lXcvn37hd/7vWBn+zQ2QVxYzZsgI6T8HxcS1CJdgCQl8qfCIB0Hhk5hxJwJDQYDWLYDW8ktMp1O0Ww1Ua1W8f777wtn2lAohEQisYR6yH1BwLhlW7AWC3T7PbQ6bQyGA8xmM6xvrCMSieIv/+W/jFw+j7W1NXQ6XZZTpQ8efWF7oNxlrdgtnLiIvSoQKJpzgBE+vzm7TvM1K3kI3PMSl2shKiuIKSBrJ3FhYtDvY8Ly7bgicTzMkM+pfJf8W6Sp0IDReIx2m5L9ffjhQ7z73rs4ODhAMpnEnTt3mLPrBj788ENcVCpsP/VRLBVRLpeRyWSRTKbIdMO148UC/X4fnU4HtVod7XYHjgMYpoloNAZN09Fpd9BqtlgyMtr/iUQCyWRSmD29FcRVE4OmyQrdXmbL54HMUqz8hGEgHA4jGo0ikUwgGotS0UNjBRnnkriyjv57SfNe6rretY/VX66xjVTBlT+Tusb3kLgQ5F+iQTd0QT/C4bCsZaT7nwOaPxVxc+Du4OXnxyvM+J0PFbVrtVqo1+uoVioYDAZwHAfpdBrr6+tYL5dRKhVFkknvmF+mycR2bJYYkv97sfP9om3Vey7jwS/at5cuqPzSL/0SvvrVr+K3fuu38Nprr+Fb3/oW/t7f+3tIpVL4iZ/4CQDAL//yL+NXf/VX8Vu/9VvY29vDz/7sz+JHfuRH8ODBA4TD4Rd674vY2T5p7bKFV9vL8FW47kbyXuf3t2Hokrkyosz/qam+/d6pcWc6D+Hj5hnbAWzLxmg0Jo2FISqOQ9B8o9FAtVrF2dkZ6vU6+v2+RFaUir38XWKcTBtfWBbGYxlhtLAs5HI5ZDIZ3Lh5E8ViEcUi+b+kUilWxGzohsKvKUysRFsUyFn02fDXyNVnrTLheJkL//y6RMIPWfF7x1XP4PC3KiDN5zPmxzR3J7RTBB310d5zrTEERndYFAgczOYzdHs9VCpVHBwc4Pz8HO12G7lcDsViEXt7e9jb20Ov18N8Psd5PIbFYi6Eimg0yioQmyzChEo/UF6dCQb9AcajMbi5wjANWLaF/mCAyZiKE3JBJcfMhPyZvII4X3u/PSBRgOWzpV6va7LgYjgclj4x1yhC6b9mq4w4/sKp60ohC6j2EyydY35Wr+6P8nzl/BINMVeaMvh+cRzeR79OXK+pe97bZ27ink6nGAwGGPT76PV6mE6nAIBoJIIsQ+647wrPmcORmKto6XJ//D9X18Yv2ke9Rr2H9pJ4+qXv/ijtMsDgRfnzSxdU/uiP/gg/+qM/ir/+1/86AGB3dxf/5b/8F/zJn/wJAJqwX/mVX8HP/MzP4Ed/9EcBAL/927+NUqmE3/md38GP/diPvfC7P01oyndKKn6epsKmAAQxCQZCCAVDFHrKwk9DS3CtbH4alpcgysKATfT7fTx48ACj8YgywtpUm2M0GuH84hyNRgOPHz9Gr9fDaDhCJp1BqVRCJpNladEDjKlBICGkVQ8xGo1wfHyCg4MDDAYDABr29m5gfb2MW7duIZPJQNdN9Pt9ATPznA+quclPU7pMQ1uaB0ZYTYPCMoOBAAIB020GuqR5c65cprm5mI4iAKwiLNfZixz0X3U91/oWiwXmC8X0I/qguXwf5TO8SA1PGqdRiPiMwsofPnyE995/H3/67W9jNBoJ35R79yh0OJvNkXnHcUQm0lwuj0KBUueHQiFAo3XgjoncTMUTAXa7XQDAO++8i3g8hg8//BDDwQCtVhu6To6x2WyWTEOZDJLJJLa2tlAoFLCzs4NsNsvmWY3+kf5eXpOLxgQTfo54krpoNIpUMoV4LI5wiPw3dN/98fJpyBKiokIxPlan1WYfVQDVQNWdQUUYF7bLpCfOm/DdUvcEN5upzFHOo+iFs5pJrtrfPEfSaDTCdDpFv99HrVbD4bNnePLkCU5PzzAajRAKhVAqlXDr1i1sbGyiWCwJh38+Rv5uv/T6L8qzVFOfKqioc+c/vo+XR34cfPilCypf/OIX8eu//ut4/Pgx7ty5g3feeQd/8Ad/gH/37/4dAODZs2eoVCr44R/+YXFPKpXCF77wBfzxH/+xr6DCU2Dz1uv1ACwT16skuE+qEHOZP8AnuWkaEWeOAhiGAYMR1iVNb4Wkv+q5/FrVQZJniF0sFsKv5OLiAu12G+dn55jNZ6JqM0+0FQgsOxvywzydTjEcDtFuUw2h2YzCSTOZLAqFIrLZLJLJJKbTOUX7KPcrnb0Szl2FcLiu57Se+ajoBvnBuMxlPoLPZVrUdTQ4X8TCp59XPYeiQZc1KT+z06qsnd4mfR2UMTIm5EBW7eYMpFqtoVqtIhAg1CGZTIoChOFwGJqmC+de0zQRCUcQjcbYHjFdiBugufyv+J4bDAaoVitot4Oo1+sY9AdotVpg9jtk0xmk02nkcjnhCG5ZFvL5vCtKRA6fGCtHa7iwx+dFFYQ11u9AIIAQM4l4lQHXejnyRddD/JbNPyuvpQXnUIZ4ndpUk8rqc6+5fop9Yqv7Wn3gd86soe6v0WiEdruNWrUqKrr3ej2RBiGeSDB6kaDQZDNw5ZlSz7Mv0irmb0UnNe+zl00/VwkpH4dQ8XHw2ZcuqPzUT/0Uer0eXnnlFRgsudG//bf/Fj/+4z8OAKhUKgAoFbraSqWS+M7bfvEXfxE///M/v/T5ZZrmpwld8bZP2tg4pLgKgrRt2+XPQffQTypPvlyFlYc9dzodVKtVPHjwAPV6HccnJ5jNZiLKaDAYUCTJaExEnTH4KMsQGmbRQprGQ0TBwpdnOD2VlZmfPXsGXdeRTmewtbWF7e0dxONxBIMhzGYL5tDog24sjcvNpFcRK9UkQlVxyRHPZInRAqaJgBLa+FHXx7tnVvVr1f1LzMbDnBzlWhXqVs1+vA9cUFhtGmSmQGgMQXFgs5wgGjTM5zMMhkO0220cH5/g6dOnePvtd3BxcQFd17G2Vka5vI7bt+9id3cXkUgY8/kMo9GQmX8WcBxK7GUaJkzDhKGb0HRDCFu24gTDfYUsy8JwOMTJyYkQGLg5QGN+HsPhEOcX5wgw/6xKtYLtrW0hoGxsbCAQ4IX1+Jm5hBl51sE0ydE0EokgGAqRgLVUP0g83fWej7KXhEkRz6ePax6kTHyuqdlVpV+O45BDtpcJO7ABTTrO8jm7nmB1WY814TPE9zf3pTo/P0etVsODBw/QbrdxcXGOVrOFs7MzdHs9dHtd5HI55HI5rK2toVAoIBqLwTCNla+8CmG+1mg0GSFoepRCr2KzLCQ6ypx9cnjIVe2lCyr/9b/+V/yn//Sf8J//83/Ga6+9hrfffhs/+ZM/ifX1dXz5y19+oWf+9E//NL7yla+Iv3u9Hra2tlYKKqsl1JcnjX+SBAXerhrfdZnS876PE1v5uwR8hdCyxMwdz+9usxJn4FyT5Y6NlUpF5Grhxct4RkvDMBBUau74MWPykyDm0u12qABhhyojJxKUsyGZTCKZTAo0hum8vqiIg+vP+yqTCK+Ka9uWm7lf0+xz2TtfhpDC++5mHAKAd13rFc78UE8+vlVmLRdZZXuLQpEBaJrwK+Kp7SuVCmq1GkajEUNSUlhbW0MulxN+RZYlSx7I2lP8vawfwk/Eo8krY7MsS0QT8eeI/muaEKI57J5JZxAwA2i32xgMBhTC7Kg+QBA/vcvhKF86jiOEZS7oCWdrejnkOeJnTr5gtULn+/FSH/z20ZWNCyHKu666XWNAjbp35D1uRUdFbNzX8WtXoxTSxKZ+p/pSzdHr9dBoNHB4eIhWq4nT01N0u13Ua3Wx9uFwGOl0GskEz/cS9DUFXzVv17nG71z5CSir7nOPf/m7Vf26Tvu4leeXLqj8s3/2z/BTP/VTwoRz//59HB0d4Rd/8Rfx5S9/GWtrawCAarWKcrks7qtWq3jjjTd8n0mhaqGX3dW/aC+hWSwz7WxG5rkZM9MtPGXS4TlI9JU3+Zn8nlKuB5FOpzGbzbC9vYNgMIhOt4vxeITRcIT5YgHTMDFfLDCZTmDDEQLI2dkZyuUyGo0GAoEgEomkIELNZhPNZhPvvPMu9vf30Wy14AC4desW1tfXsb29jWKxyMwFGqE3szlmU0JiKCMkE7489uBVAtKq1u/30WWp/vv9PmzHERWF/f0OVrdVZhyvViW0448J9lURFVXQUU0+3FFymahTUTXuaMvXzLLIJ8gwNAyHQ/z/7b1pjGXHeR78nHPuvm/dfXvvnoUUyeFiUhJDWJGTiNASw5As/7Ac/VDsQIplKYhixw4URFIsOFAgB4YiwbCB/IgcwHESA5EN+0sEKJIlWQlFm5soksPhDGeG0z293+677/fU96OWU1XnnLv09Ky6L9lz7z2nTp3a63mfeuutq1ev4o03LuK73/0u9vb2cO3aNczNzeH++9+Gxx//KTz22GNYXl4RjgCb7ByWVquFTqfDQG4b7XaH2csQxw5Cyo+cbsuyEA6HkU5nkEgkMDNTQCAQRDgcZm1ggHK5gkqljMPDQ1SrVRwdHcEyTWxubiKdyaBQKFBnZpGIABryBMmXKZX6gpvNk92mq47aVO15fJGVhfGXaYeL3rYchUZnQzggtawAAoGgMEIOMcd2wydiPwDkADfKzunAhIYxpAv2YIB2p4PDw0O8/vrruHTpEn7wgx/Q3V/seA7DNDE7M4OFhQXc/7a34b777sNDDz6E9fV1ZDJZMVfJ5cjTbrLEEm5TNiGgcfJsiGMp1B2CPN/uulPBufvejYwFJwHEhsmJA5Vms+mit/hpogCwvr6OYrGIb3/72wKYVKtVPPvss/jkJz850bv09bhRYXWUexwZph2P89w4cY6DxsfNi5827RVulDhh1ImFGkj2XSf+yu/0equ3/QPXvCglGw6HEYvHkc/n0O/3UCjk0WxSd9q9Xg+NQBCdbpdu1eO2BGxJqNGgxrK9nnP2Bt21ww6tOzzEwcEBBoMBQsEgstksCoUCNa5kIIWvVfPzfUT+bNXgTzauHZVPuU7a7FRfPoGOVDl94px0EJDByiTxiPAGH/7d7VDW9uTr8oQsa4P0GfUdMqjR2xPfJlqpUIatXC6j2WzCsizkcjkUCgXMzs4KmxDDMJR6oqd999FqtdmJt9S2iRqlmkp/1EFEOBxGJpNBJpPB4uIiW4aJibYXie4jEAyg0+mwttdDo9lAo9lEs9FAV2F0xihn+oNXjgTcHP8ZRAIZtP/4GzUPF5UZHRHSEwfJdSXq1AWUxWXX+3i7cOzcZFs3r3HQ/X7pLuBRNno8OojnTO3R0ZHYilytVlEulxGORJCIxxGLxzE7O4tisYjFxUXkcjkkEk5708tCe6H6fcR478WC8PFRZZ7cwFD+rrN4epyj5EbAxo0qRCcOVH7u534O/+7f/TusrKzgoYcewosvvojf+73fw6/8yq8AoAn+zGc+g9/5nd/B2bNnxfbkhYUFfOhDHzrp5Ag5CZDCn72Vyz5ewGiS959kWuUBiBC+jNLD0dERjo6OUK1W0Wo5tiLy2ikBtMncPXnTT+eaaZrI5+lhbv/gH/wD1Go1PPLoI8KXQbPZwv7+PkqlEi6wXT/7+/tot9vY3NrC4s4Odvf2kEqnUZiZEYDj2sY1XLp0Cdc2NrC3v4+5uTmk02k88MADWFhcRCKZhGVZaDNmaG9/H/sH+6jX6TbVPtsJUqvVUEsmheU/d/7l7SlUzyedjK9vbmJzcxPX3rqGra1tZHNZEc9Ek5kk49b5jbRlPt7rk6JfmuQJdjAYaNpgAJBsQ2zbZqcdE+HFlTo2c1gYeavoYDBAMpnE/Pw8HnqI+kxJJBIAqNfhbpduhzYMauPRbrdRr9dx/vXzqNaqmJubw8LCAtbW1yiLxpzUcU+j3W4XADX6LxaL+Dt/5+9gZWUFjz/+uNiF0+320Om0ce3aBjY2N/A3z/4NXn31FeYJt4qj8hGOymW0220K6gfq6bqy0zC5Dglx/MsQ2xan9JaPjpDJZNDpdBBCWDH2ltmyG2dFxhQHcajXHbTCbjv9nDJvAGfQ+OGelmUiHAojHAoJRsV7e6+bleGfTtvmzuHEUyJJfMlsINhQ+my320WjXsfm5ia2trZwWCqh2+3CCgRQyOdx6vRpPPjAA3j8iSfo1ve1NaTSadHm5HFOBxCcSTE0ED9c3OOlUwZey6tyeXgpg/593ktZHue5my0nDlS+9rWv4XOf+xx+7dd+DXt7e1hYWMA//af/FJ///OdFmN/6rd9Co9HAJz7xCZTLZbzrXe/CN7/5zWP7ULnVIg/woxraMLbEL+yw9w2Lexzxe+a4a5WDATU8E+f8DAZi2cLPf4oXw+CtLRkIsYPrCoUCEok4TNNEq91CJpNBs9lEIpFALBbD4dERTNMUW0hbrRaazSYazQbanQ56zNal1+0KSp5rvKFwCPFEHCHmqrvb7QKGQZeyul2Uy0eoVCr0d6+LAZska8yXQq1Wo4awknHoOOVp2zYajQYqlQrqbEdTKp2akN0a3aZOik1UwIjEfPnGp12Wn+das9uDq7PUw1lYyzLE0qG+lCTbifDlpAGzYel2u7AsCxW2rEaX7Zwtx4eHhwgGgyiVSojFYuh0OggGArBME7bEpPF3BINBxGIxFJgTwKWlJQmodNmSEk1TNptBNBpFp9MRgIfbVtm2DWLbIJI9lfwpgwyZveNp77Lt0jw+7lhMFTdTNaySVM+0E0xUGhvh1RKGAybHBklmbGXGTWeEvdq+F2vnTPByvC4SgydDAG/CbOP4uMbbjWEYCEcignktFosoMDuoSDQqVg4mUSoNKe3wyKucJxmAjFJS/F7rxOm3jHb7wMgwOXGgkkwm8ZWvfAVf+cpXfMMYhoEvfvGL+OIXv3jSr5/KMWRyzdrRSno96sdib3cXpVIJrVaLri9L2ycBCOAyzN2zYTgaAu+H4TDVqsKREGxCsLi0hMFgIDTdarWKra0tzM7N4vLlK3SSYhrz4WEJW1tbmCnMoL6wICasi5cu4fzr51GuVEAAeshYLI6joyP0ej1sXr8OQgj6vR7a7TYuv/km9vf3sbOzg1arBTLog9g2nv3hDzFXLKJaqWB2dhZnz55FnJ3m7OdDRp9o9/b38da1a9jZ2cH+/j6yuazQyExPOndy8RvcjxO3wnwZw9uOPG3JS0EARNugtgiOASLXtMWETh9GRNp5I9sDWZaJTmeAZrOBvb1dXLp0CTu7O3j99fPo9wfCFqXX6+HixYvY29sTwPD18+dxfXMTC/PzOCpTB3GDfB6ZbAa9Xo8yZmxrar/fRzQaRTqdxsLCAubmqLFuMEjPponTDMO2CQLBAC5ceB2ZTAa1Wg29Xg/NRpP5+Wmg1WwiFo0KcAVA9At9q3G320WHHfhZr9dxsL+PWDSKzc1NJBIJVKtVEADhaIT2H1oykJc8eG341eU44rd8K8flmnCN8dsaP7dGVegc6kMGLA6TojINNA3qp3vilvoU+zDZye38IEl7YAv/Ka1WC112CnaQLQ+fOnUKZ86exf333Yd0Oo14IiHqzc87tUgH21rPXSt7QztX6bK4VAAyYOnkbJS+9Ho7QMfNWnGYnvVzF8gwpmWS636ajReKHxWXuG8T9Ngav3wYl2lo1Kc0YA2LUx+M+PNBbQDvRyLi8MBer4eFhQWxc8e2bVSrVXS7XTbQdNEf9NHpdtFstdBsNtCoN9DptIVvjFAohK2tLUQiEdbpbfTZ7qDNzU2Uy2U0Gg10Ox2AUCZkd3cXhBBk0mkYhoH5+XlxQNkwrUrW/rh2z+0kjsN2jMOOnfgSoJgLR8cr9qVI7cGkR966GCgOVk3TvXuLv5uDPJl56Pf7qDca2NvfQ7VWRSQcdmyL2GDOd97wnTmtVgumaVL7EQZGZBsr56DNgWjX+pKV7DXVgCHOgeFHIdAlG4LBoO9iaIbVDb8m+3HhO+A6nY7Q9CmgY6wSeD8jwgEf/y0vvbjbI8CZjWFp8pNhGr6ITwuvxK8t39wIQ6yCFD6GEBDivTxC08a3UDOkx9qgpe1MsyyL+kyJx8XBhPIun3HHTt4fuJ0PMfzK2wtcyqyR7BSPSP2Lp8cjRqZhyMBtWFq9n/dvH17Xx1lNGCV3NVCZyq0Vh+lwBjWb2ILd6PV66EuDsOnBKvAOT4itDEpu2hvsN1yrQlyTNs0QPSDQNNn5IEFcvXIFb127hu2dHbRb1FlTq9USGlK1WkWlXKGH1+0foN5oYH9/nzI+zOU13/LMKfVuly73NOp1gFC7iQbz45FOp7G1tYUHHngAmUwGA+aCX9aWvYTn27ZtsTWZTzji+hgU7y2zQdBFqxdZc1Y0WRZIX+IJsZ0R6gnUzm6hRCIh8i+0eZZXbuzIl9sIobu93rp6FXsMPOrLs4QQ1Go1MckPbBuBwYCelTKwQWz2HsmnhtKu+30MbHq2CgeyyqTKysNhNdhlm55y2+v20GPxcZsXGbT7sV7dblfspGu323TnUruNRrOJdqeDgT2A7WoDMjhxPnWNXH4nn+C96hC87H3AhZcQQidhmO62we24BIMGiK34umE6r3u5Tv2aPLdv4n+mabF3m3CRmx5xmCY9uZ17AM7n8zgqlxGPx0EIHQ8S8TgKhQIy6TRisTgCkk8cL/EDZADtGzbssQG/iIY4rhv40iJfmuIA2TQtCNR1G+Skx6W7GqjIneykNMbjoPm7haE5CfqfBlcpV7+Ahvg6/B18KUidWKRniUORGgZ33MbAkElPlI1EIsqJsiKZknD/E9zwNRAMwjRNdDsddpKvw3IQQhAKBgEYGDAtWJwMzWjivnRdLEdo+Rqad6EZad5ax2iDo9ixURqP3HeOI86qv/879Afkd8kO4QzThPC5wel4y4JBqL0AJG2VT2LBYFAsxXCbFH6fEOogLmAFXHYDsh0FPzOHOwcMBoMIWAGtHaonhPeFgS0FL6ZpIkgCwpmgcpotITBNAwEroJy4GwwGPcvIizni6ZWZKP0cK8/yZnSCU+S6hq2DmWEMAI1PsDZw6l1+QrR3OR5ijFzeMKSI3MvC6mTr1W6dr17n3Rjiuiyi/TqrVWKZkbNmcWb/Fg6HhZHzsPOHhpYfnDGMwCnH0cLHPe0qcQzPZRDHD75Uls7GkJNQfIbFcaNz5F0PVEZRqMeNV/7U41bXS+8OkHJy4qM5S4MoIcRlSCs6q1a2Mo0psxDUnwZ70nAGO5mWFx0T1AbGskzh1TUQsBCWTl+1LAupFD1ReW19je0CAYLBAKqVCrrdrjN5xuMwTJMBFaDdYn5huLYHaliZSqWQy+WozcLsLDLpNOLxuO9EpAuB5PBNonAJIAySx4lHD3PctjnOcpWeAQJvnywivEE1x4Fmg8A1v2AohGCAHgYoOBjDQMBkcQfcRxeEw2HMzs6y5R7qwn5ra4uezFxvsLZnIJmg7sy7PbpEcvnyZZQOSqLMZ2dmMTM7g9NnTmN9fR25XI6eum1ZStlzL8nNZhPVWg0HByWkUmlUq1Xq5CsYFPnjvlr4Mmg4RE/yLhaLWF5exuzMLHLZHAJWQPQTXt5yGTusgAlLAtjxRAKpVArZbIYdDRBFMOCj1XvqE/IE5kziQ5dcGPjg9hXD2pVXOxDu9uGME/J4QQ1pnXN95LSoDs1ErEp7cAClDp/liZOwMUU1YNYLyzSpwWwqncbS0hIajQby+TxarRZarRYCzCbJCgZgWM7J1uOKDFZcDIsrTUT7VMW2qbJkM7bLsgIIBkMCSHnX062Zr056XryrgQqgdoxx13394hn22y+814A+SUe+ERl3TfTmvEt9px8bMGzNUr2vLv1wY0o+udmEKJMi13BM03R8kbTb4jp30c4ZFsuyEI1EELAsFOfm0Ot20e/1kEomUWU7QsQAymjpgGliMLBRKpXQbNJdRINBH5ZpIBaLYXZ2FnNzc1hcXMTs7BwSiYSnY8Jh9aJozkwLH1X2o67L98ZtI/oy3Ki2JOvjfFnAs20TgBjEk6bm7r/pMgAgqZ4Sc+fOFweJ3W4Xq6ur1KAxHkez2US9XhcTYDKZRCwaQ7NFnb0dHR2hzXyn2LaNcDjEzvuJ0fNZgkG2HZqBJeYmn4OqQb+PTruNcrmMo6MjlEoldDsdEM62DPpiq36j0RC7jiKRCOLxuGgfwWDQtWw2bInP4J58xXla3E6GMSr8sL5xwDEZHkxPh86cCMZkSLvS+/c4Y54fUKKXDOlP3BH3nWdpq3TavhwHDyPZrvBY+H044MiyLESjUUTZTsAeM6gFwMpbLiT/sqAMsDuvynfDWd7yiM5TOOvMcy0DP1lB1Mt+3KnHr85udO4aCoiHyF0PVLjo2v3tkp8khkWmxPmffIrvMJCi1xUfcHi83J6gUqlQQ0LbASacjufSbrdROixhe3sLjUYDg8FATA6pRALxaBSRUAiZVAqhUAjpVAqNRx7Bzs4OarUatVlgkydPEwHQ7/XQaDTxwvMvYG9vD9VqBb1eD5FwCMW5ObzrXe/C4uIiHn/8ceSyOSwsLiAUCk0ERokExjjp7QdYvORG2puukerXveLX7RYEhS1QixqOEAJ7QI2Py+Uy9UXTatFdYWHuKyME/bwak/2mO3+cxQPLspBIJrC6tor5hXmcOXuaAtV6A+12Wzh+s9h5T5FIBDu7Ozg6OqIsGoBGo47BoI94IoZ0Jol8LodcNotwOASLMTiWZSHB2ItMhu4C2t3dxeHREd64+AZarSYDTEnkszlxKvTOzg52dnawce0aKuUKIpEIkskk5mZnUZybQzKZRDgcVpYv9TKXy5AD7kAggABbdggJpjA8fPlHi5LjCxVn8J1WansQ4ElayvEDKcNEicvjHk+ozqYQUevs3QKo6MtCelvlJ5w7QAbgW6BtGAYBYDlLPQDswQAywDENahSdyWSQSqUQi0YdT9sG39mjgRO5kD3yr4SR7hH2DA3nRDFJvxaHVYaol2Td47FTNuPL7TClGCb3BFCRO4PcKY7DOHjR1/qyz0mkV45rmDY17P6NvnecsKPCULZDMyz0eAefgEdpjwBd5y+Xy6hWq7hy5QrdJthu0/fQF4s4LMuigKZaxc7ODnZ3d1Fv1JlhnCUcRvHJKxAIIB6PIxAIwLZtJBIJ9BlND63uu8xXSjKVRL1ep8a1hCAWjSKZTGJmZgYzMzPI5/N0AgqFYQXUE49HMmzDytfn+jjaqdd3rzDD6nkY8FcUA41qF88QiLbBT6rm/nbC4Yiyq4JG6p1OGajIbAfVIg26xBcOix0xhkGXfvhkzoFoPBZDJBJGMBhgSyoWS4O2Q43QJZl4LI5kMolMJiPO9+n1etjf24MBvq09hlQqhUG/j16vj9JhiXoz3dtHo9FAgjEp3A7GsiyfJRnv8jcMdQedWk5an1MLblTsIg6v945I2Ii4jyMOQBH5Ig4LQgioPYkhc3miVUyYLPk5viTkKCh8rBJAgl3jilnfY6lWideDUdLfPIRjlfI2nJnXbX8MuJeKT5LBHyWTrkpMIvcEUAHcYGVUWC7D6K1xKPBb2RDuJHHWhemuCbnjmmyNXz41F/AqV4cZMSQNutfr4c3Ll7GxsYH/9f/9f9jb28Pu3h7dytvtgoDANExYlolQKCSe6TG/J7FYDOlMBqFwiGnVYXEaccCykEomgWQSWbZLR08nzws/2v3ChTfQarYQDoUQDFiYmZnB4uIi7rvvPiwsLGB1ZRXBYBChcEiUzaiyc4kPsLsRGdXOx5Fh/UNp+zKY14wfB4MBKpUKdnd3cXR0hFq1hmQiyU4tZkahPmBI+FJhwndJBCwLwYCFaCQs0kTbpHNUgsWMaQeDPkzTEBpyJBKh9gYBS9lxZBiG2OIbCoUwOzuLwWCAM2fOIBgM4vLly2i1Wnj11Vdx6dIlvPLjHztO5tj2YdoO+2L78PLyMhbm5+lOkUwGwVBQpHcUaBdO8WQPz0wxoG10hG2Jj/ixZJytHPrMqHbkMb+KbbgSUyizKTwMga2CE8UuzQYhnC3xRnq6giCzKX6JJYQIz7Q8b7z/K7u9+PEcXTrGdHtdDGwblivyIRCE590zJNG+jwAphIjDWPlvefnnTpyTbmTF464GKl7r6uMwK3ocXHTmZBwQchLU+0nJScQ3ChXL6798YFfqgZ/s6uGlVe2KdNByBkAoRndcBvYAvX4frTY7k6XfBwChjfNdIISA2QNEkUgk2ImmKWEX4Bza5byAT5CGBlQI24Yq77DgWxZBgFQyJU5a5ofLDRvkj1MvQ5mWUZPJGDKsvwyL27e/iMSBqr5E1UwVRqXbcZbulAfd76RtTFwQHwR0p5DBm4zB7Qao+3u+3dw0nEUDWpcmXRaMxZBKJRlwCSPIPCDzLFmmiXg8Lhy8Dfp9LC8to1aronR4yFgODsScE5Et0wQJWIjHY4jHY8jnssjn84jFuc8Nb78wcnmqk62bqXT9welfegsYZxwc1m4MOP18XAVQ9pvD0+X/jANm6V8fA75NX+RfDe+kbHR7ZU8pcfgBNQEEJeNp7uG43+8DBh23ZHDA/1PfJsWtlY1XHxterN5zEE+nvOw+jmKiv/4k8cyw8UMGU8cZD+9qoCKL3BCOi9x0YOK1DHSz5SQZmpvJ9nD0zv1OiGuGfE4H9XMijP0kspKAsImGD7TO8gExgECQrrkGgkFYAUtoq155tCwL4UhEbAPNZNLMyHUBs7NzSCZTFDyZuh2EAWi+XgghILz9sP8CVgDhUAiZdAaWZWJ+fh5zs3PIZjJIxOPU/4qBkROC8g4+Ad2iduUl+gB93EEE0CZJ4ujDfDCt1WoolUrUO2uziYE9EMsaJkUenjokZzxUoMTOv3FpoVRM04TjOINr4zYs00AwEEAmnUI4FMTiwiIWFxeRzmQQj8dhmrSNmjBhBoLIZbMIBYN47JFHMVuYQbfTxcHBAS5ffhOdTgetVlNMGBzQcm2c28ecOn0Kp8+cQj6fQywedeWHG3/za7rfIf1kbtlg0jS54zyPygDEXD5KAfNikOW2THvn8bVhL5EZFSL5YuoyI3dCmG0SUW1XVGWGL904cdL0uYGIYbhPoOYi1wkHTe12GwcHBzg8PES9UUe7Sw8M5fedLehaxtg4BylN7jxLQaVPOb3SL7nUAEkx7Pf76Ha6zEdPT2kndwq74gW2ZfvCceWuBipetOdJVYqXBjnqPScBDMZlf8YNc+yJx6ODqcDN+RSo3rYRDLAtwsEQAswvhXOKLnvY4P84xphiu55BB450Oo12p4P1U+vC4RI922QA0zQQCtHdE4kEZTXSmQxCoRBi0RgSiQRyuSzWVtcwNzuLVDIpDjYz5cmY50dvQyyvfFtoPB4XrrODwSDOnD6FYrGIdDqNaCymDH76d1mT8Cxfj4FTTsONyLBlGz0dwxjE4zCNcvx8cBeeWft9EL6VdEjz9GJM+QNq+air9XI4AHSrejiEfD6PhYUFBIMB9Lo9nDq1jmJxHtlMGrFYTAAV7ufCMOgOo3w+D9M08cjDD6Naq2J5aZGd0t31PDmbECJ2C505cwbz8/PIZrOIRCKsLziwjjNxXlq+mBSliZErA3QSYs4ONUNk0b+Iu4D9AKkXw6aX8/i+P5SIYYDaKvHUyGCIA9l2m+6qa7fpGUaOsbE0DsGrzTjMlrsQhoNvLyaLEOpHqc0M+Wv1GjrMQV88nnB5pPWxJR+3cCZkNJzAwl5G8uXE680LjKmpcyvgXmye/Cme9GVqiPKMdxqOP6bdc0BFl1uJJm/Fu7zovZvJ9oxaDiCEoNvrocc6TCgYRDQaQSQSRiQSQSAUZA696PKMoPK1oiLMFsEwqKFkcX4esXgc9fo7cXhYQjaXo4eEtdpiR0Y8Hsf8fBGpVAqLi4uIxWLUDoA5gItFY8JwNiAxJ/rgRWSEz8rUNAzhiyWfz1OmJp1GNBrFmTOnkU6nMTdXRCAY8KTj5fLzY1qoTxapTKTwbr3w5oteLsOWCka3OTVP8vbkfp+elQSRT2/QL5edo4XxspQ1UWlSNugZKI4fHuqzJR6PY3VlBeFwCJ32OgDgwYfOIZ/PY744j2gsxs58UWFPOBzG0tISisUi1lZXMRhQN/aGQb3Yit1uxDmrxzItNnkMEIvFEQ6zvhAIMI+hzmDudR6ULD2pb4njKUxT2N/4nSk1TEYBUmW5SJTw8NboAjhqBQEEitG9rP33ej3qMbpSRrVWQ7PZQDgSUVkXBh7VvuQAVZ5KSD1HTpP858UayWXT6XTQqNexu7eHg1IJzWYT0WgU+XweuVwOmUyGthdLP1BTLhApWScsMqPCbfP6/Z6SH5U98mNoTjY9+nw8bLlrUrmrgcq4oheU7KlS14DvJPGqYLeG6R92nPyMA/Tc73G8w9rEMWTt9XsIIywOagtI5504oMoGZUxpHVjczTVVi8Q7Y2ziWF9fx8zMDJKJFDpd6njNNC3EYlGEw2Fk0vSU2kw2g3AohGgshoCl+r8wxbvdzAn/QkGUyDQAgkDAQiQSRrE4h0wmg36vh3A4jGKxiGg0SrUqy59aHadsuW8M06I7UDhoUXVJd3zjAIpx0uQHdg3tvv78qDxTMOos7QQDQeo5WGLZlOHTZ+L0btfyHMjT47jSMhQkTBAOh2EYwOLSIhLJBF1CJARzc7NIJBJ0FxBfUTAAgzhlQsEHBa2RaATEthEKh5RJjy/fyJMifdZGMBiSfMXI9lx8OcJS8qlPmrILAJuBOwDaTiUOJKQ2IReWlBe9nvg7vRgdL3G2o6vP61q0eF580mcNqaPJjEqz2USz0UCb2YSEIxEX8Pdq8/TdKkDxEhn0cOEO4iiTpjqiCwQClJnN5rCyvIJEIoHi/DxWVlaQL+TpSe6WpYAxV0s1nBLzYrJoO9bBllea3df9+4VclzcGUEYBDR30DXNN4TXfTiL3FFDxKgAZ5cvamX6exHG1kklo8JMUr3zdLBEDrPN28XtgD9DuttHuUkt4mxCEImGEwiHHnb3UOOn5LQM2SDhUti6pZBLJZJK6SO8P0HqwJXwtmCbd7WMapoifTwT6Vk6/ctKrzP3bYB5mTaytrsG2beHPIplMiPOFAPeaq9x5RzFSAX7InTSZwTCG7vq5mfWtT3DHjodPJKD1GwmHkYjHEQlTB1r8UEIY3rq62rfckwz/LcrCcO7zAZuWv4FoNML+oozNoeG4x2LucI6CREMUAm+jAHerTodLfVIeVR8yi8CBupRTZfzQB3LbtsWOIsrc8MnVdLwXQ56Yhk94epvU3z1SfNY4POORrzHlhiskcpn0+33UajVUq1XhKC+ZSgm7H9n7qzyGq+kdlna5P0L6zq9LxzmwT86gcj9HmWwGqyurWFlbxfzCAlKptCh/P1FqxmOuUB8dn4Jxsxfqrh8ZwI4CcOO+S/7txRgrR4B4hLtRuauBipehkEN16YXJG7mzXs7PRbAs0zc+Nd7xr48jXijbK+5RbIlXHKPSO462r4fzfIZINioDOmHTwT+gaJGDwYAxF5z+tcV1Wg4mIzLUSd40TBgB6rNCjDIGKBNjGoKR4Ue1s9vik078fBgg4GMlxKucnQWmKS1XgDDNCojFojQtliUxQP6Ml6o5Qxo43FS0aVl0h5THLimvch820QyTsQcOATD8bnu3H7/2JHv55DulYrGYsBkC8QZz6jUVrFCl3HFUZhhOCHfZOJMT15R5VIFAgO74Yg68qAGnY9ztDPS2UiLOJAD+Vt8Sk0GrAtjt8TRMrhAoNiqSMa3vc1LJye1R/uPXvU6qVspRjnhYE+LP8vdK1wzTgEmc+taZF+owry88Ulvs6AAvT6v8Oa82zfu0u0iJcp+2HQoaLcvp9YZhIBqNIpfL4b7770Oz0cTyygriiThmZ2eRL+SpbVokKtneaenQANSoXmcYcm1B+67fk/Mhh+VtdjzwNs5YoLcX+Vk/UkD5zgCMTQi1S2PPttm5XJPIXQ1UeKd1T9LKL1eB9/sD9Hp9B7Eb/hU3DEh4iRfiHMX0HDduv3TeDFAFQDNZZJM1CDOSpOCPEMImXks4P+PeRemAL0+2BIMBASFsAmHncIBQb6YA2PbhAMKhsKtcxX1pELP5LgpCaBLlTkV4HhwDP5kN4X4aWO7o4GpaiMVj9F2meg7RsLoVpWSobJ0OVvjWZ+51VGhpRC1tudxGAVev9Hjd9wO7J8GqyG3RsizE43FkMvR8GrrcElQGeq9nveP0GqjlVPs/y9kTni6uqHCxBzR+ApVlpU3K3bcMA8KXCZ/k+Hjjlx+nLXgrFl5tXNQ7u2+YnEF0yo/YtrMDTysCfQLhbX7UeKGL15TrHh8ZTDH4n/qsaagAg386thYUqHAAr+/W82dU/ITVqVSW/NMpB6ccLctELBaFaebx0EMP0dO1bRuhUAjxOLU3isaiLoXC3ceccUYuK+/06WzKMLAxDkNiKH+TzmFK6jzGHA5uh445zOaQ12e32xVxtNvtidNx1wMVP0aFjfUAnEbJ//iR6XzgoqeajtZuvGSUNnizQIMeh9dkNC5qdp4H3A1b82UwIkrCLdH57g5iwzQAajbJdjwYhvCVwA+jMwjdbko1R4CSXNKR7mIy0AZ6AT7UiUzOn3NYmSgZEYeiCCmLW3AaELhm6sTJNTLaZrwnXOf9tjIwy/XC3aFHmefSQCDgOPjyKmC4AcYosDQqjmHXJhU5v3Keuet3vsw1avAUJ1Wb7uU1h52C6OecpbPZhO1dJnI/4W1aPRuGsjK0Dcon67JG6kTGQDr1GUOZGAoYHBsUuUx4uv0m2FH9lxDagyzLojZYFgW3wrsvT54EDuT26wdwx3k3j8smtidYIeJPArpe8ymrLFnB5MpiiLkzCIZCQuHhk51XWmlUsl2EDAbpWMMVUB2kOGF5BQOGCWY3x3Z7hQLI5bJsqZqIE5Vl4+Vh4zx3bSCXEYaE54WljmGG1lahXicGXcYkgGGYDhMoFf6oPu1W8t3twF1+3uOaZVm0zggRS5XVahXdbpedkzZAKBhCo9EYmiYvuSeAil+l88bM/7jhVrfbVYAKdwRlWZZP4/OagE42HzcaTh/4h01e3ksLnFJ3P8O1Ofp7+JY6TvMN+n3Yg4HYUWOK0csZdPkVsc5LbPYnsRciIZR+N+TJgg+RtvabxcsnIp02p7QkBOPipEzrjEpaTSXfYlI0DE8nXlxktser3PmpuJFIBJFoVAyGfgBkHObsJMRvUhvF6PF+ptt88QP++HEGIp4RQIsP1Oyq/EYBrB1vtPTPBAQ5R+NyQIoTtwdQYnM8n/xswt5vSCBVAsjyc2DgZmDbILabXVHbB5RrQyc8Q5ru2GQgs3AuOwm5nWmTjBdY8UqDl0hqC8uy2t4V/k8fQ1haeNo4QOFimtSlAQeySlq1yVGJlzjesPkraH44Sy6KxCcn7Dl2dI8tKR6BYACZTNrjKSdOMY7wl0vZd9wuSGn3rGevsdh5K29HcoPjaSTgS4gSOKGFLf4bzk4Ov+6nTAxVckwTYMpqr9dDpVJBs9lEpVLBYDBALBr7yWNURgqrNNMwQQw6WRIT1HW3RSlF05jcIc5JgpRJxW9g8frtly8iDRhe9+h7nImeAxVuyGdZarPh6+WGQe1VWq0WGs0mavUaMu00c2FuiZNpefw2McB5A75VFzBA7Sx5Pm04cwMRdeoGj6o2ZxhshwGoAzkxYHMtgAUUw4WWX/puDlYAYAAMxBsUkOxFjcplI9cZ/6vX68JF/+HhIRr1OlpM63C0RnXZ0ktuJlgZR/SJ0MtBGWdUwuGwajRMH/TM47AJVNWkAbcGytgWJzb6n+Fsc6X/e5WdOlE4oMa5N6zMLcuEYUlMINzjBWGgmyoGKsMis1GiTBhACVgWQnxClw3VoS6Be5WZy6mh1Mb8Fb7RMi7A0cPLaQAgTpeOx+OCKQIgXNi7NzsQiTGx2ZEJjo2XrGTKrBxtO+wQQpa+waAPOu447Chvu25aSM2ZsHvTFRypnQkx3C1uFKPhBXRlj7TcBgSGs1vJkrZND6ufSevbj22RlUDDMADTpAdmmhay2Szi8Tji8TjsAd2Q8JPHqMB7ytLDEAZWuJZlmpQ+dbRhet2/Ut1v8dNqh4GDUWH0+8M0Zz9KblLxfla1jmdffGhr2rkNppbYEmPVbDbR6XTEycSUjXFAjWEb6kQFeBqUCs1HaMU++WX3BOlq8Nrn99gAwtJq8CBKvtWlLgeoQOSDpk8+G0WnZv3rhA+WrVYL9Xod1UoV1UoVzWZLlJWkcg8FKaIGRjBtt0JkoCKzKjK9H5TYFANqO58EqHhdJwSijYkmImWdsy98qnCYNENpTgRQxgOHeleBqHe5EuqEzTAdjRtqHvWlinG6rgHHKDnAWClRlhgNMGQWQ0/7RCDFQfOS0gDGlPCUOuKXNa+yjETorqxoJELjE/ZB1OEdTx/3/svL1jSBwYAoQEUe0wEVtBAC0F3eDMkSZtdmGCDE1JQkh/nV82Kwi7ytibGa/2tIIEZWbjzKQVds/MqK/ybEcQQou85XvRablDMac26YdAyRy4iXvcijYSAYpERAKpliB4LGRb0552uNL3c1UBkuziDBC5VPgI6HSBqOb6NVND05JjEZOZrbnSBerMgwJsXref4M4HRuhc1wAisNzJmMDKEJRaNRwAAOjw6xtb2FN954A91OBzDorp1YNMJOtA3RhszP2pH+eB3xDqjYJsDtA0ft2N6gS06z/ClT5OyGuE+Bk6IOqbES2fZFtcfQmZC+tL201aKAZOPaNRwcHOCNN97AlStXcHh4iGaTahqmNJn7yXE14JMWnle9LSoaFqjjtHgigWiU+r/pdruo1+soVyooVyrI5nIghAgjW7nPshjBFQaZ3QBUoEOkSZMpmtLzcLVxWQQgFvfkacrtT0idnPkkaNODEwWLA/GsWj48j+oYxbVkDvL39/dROjxEs9lEr9cTthLhcET4aIHhntDketDryUm/+m45byOFaOE0YDgsLXq6TNNEOBymjFsgABgGWq0WqrUa9vb2AcNAOpMRS6QGG4soezdwXBMwIEaIU9eKwiMBaQDUnkheUgG1i2FoxWHcRBACGZ+BYx0auYiFs3UOruM2bRLwkcagUf2YA5Nut4tWq4WjoyPs7+9jd3cXpVIJrWZTsekS7VBzqa/XwTiitx89XUqcksIJpjiEwmGAEPF5XKX6ngAqTudTrir35cmDD4Z8bTsgbaXVtTwq/hrf6DQdn+0YpwH7PTMuQvZnhDRKkt0jUJkcDvz4X7/fR6PRwNHREa5fv069giYSSCUTSCTiSCaT7Mj7iAMQuTGgGLidw8HkzkYAYayl5lUqEyjmCdC1YTndchxcCZfZHb/RlzMuXoyXPGDKzrr4OSb8rJvtnR3s7uxge3sLOzs7aDQa6PV7YhA2PJYkJxlk/MJOCmLHDetFYcv9iXsL5nYI/X6fLhE2GmjUG2i1Wsrhjm6lwQEPhkGUstcZGRWgcNHdeqvtXKRfY16IaAPuvuYHmHgM3PjBzdDorhBU7bTX6ylLg9VqlR0f4exUDLIzsPhOHx73sHqX68mvbY07Xjm2OjJYIeAHGxsS++JRGco7qQbuOGg0AHQ6HWHbEA6HUavVMBgMmJ2TxWzYKCjhDIKTDPeZPzqYdTOVbFmQp0knbrX2pcwvkMIaDqQ2ZGBNnBGFp0cvAz/hQKXT6aBWq6F8dITSwQHK5TJqNerin7BGLzOAxCYgxvH9mXiBXHns1/MgABtxng8wp3hBKd4+O1h2ErkngAoXVkX0m0d/49qNPCASYjOnQuNRqM6b7hzx0mZHhRtG57FfcCZq2UmVs8xhWRbisTiWl5bRbrWxtraGcvkIOzu72NraRrPZxCuvvor0X/+1OE32vrNnsbKygrNnz2J+vogkO4eHl6lNEQC1tgdcHYMQIjq9YRjUD4aWdmdqoWFdTUFhUgxpIGW2Az4Tk0lVNJEOuhTm9mchlzPfYba5uYmdnR1sbGxgf38fV65cwcHBAa5cuYJKpYJUOoVoNIr19XUsLy9TXw3RmOLjwq/e7gSR2S0d8BuGIbZ3JlP05Om3rl1Ds9nEc889h42NDZQOS8hms5ifn0c0GkU6nUYwGEQ0GvVo3zIj4XgWlQGB2wmfmlave4RNTs5Bm5JWbdBdaQ42IWJglj8NnkCPJR8ZTDhlRPPGjQ9LpRLK5TJeeOEFHB4eUratVMLrr78O0zQRi8cV54MyoLvdbUPGbcQmXLsBPBQDGVjwnZfhcFiA2LeuXsXe3h6azSbm5uaweX0Ts7MzOH36NJLJBLLZHDPQdhxKOoyaXPaAzXYY8t1c3FDfNLmXbImhZcvYznK2DlBUgMrrW5S8Bs7kGiFwxpBhII4DE/692Wzi8PAQm5ubOH/+PLa2tnD16lVsbGxgc2MD7XZbgAJxBpH+crjHED9QOoxt0+OST5J2ygPU1ILn1aNcJpV7A6hItJsBtsnUc64xpLLjgx8zvvJxTCsv96hlfPMGBS/t1Os6v3ec5R6/a+q7JLAisxbEMZ4KhULIZrPI5fMoFAoYDAbY3d1Do9FArVaFaVJvsdFoFNFoBL0uPcgtn88jm80gFos58dLIwbGIPjC4tSA9nVKZsO98e6Grg7hACgBnKoJn/Y7JUslp6/V6aLVa2N/fx8bGBt544w1sbW3h2rVrVFuuVNDr95HJZJDJZDBTKKCQzwsX/ePQtuODz5snOpUvCyFEbE+OhMOIRqPosEPfNjY20Gg0EIvFUK1WxTlOgUAAkUjEtRTEJ3edPXBAkpePDX+WQG1jUnCdceBthdAJmH0obZYnQLUbcdsvuccSuuTDz7w5ODjAxYsXsbe3hzfeeAO1Wg27OzuIxmIIMxsOy3Icoo3DhtwIs+saj/wD0g8eaAg41OuO290EAgEQQlAul1GtVtHv91EulxEMBtFoNJBIJNDv94RNCwcqjuKpMmT6co/zbrchvACQghNxcquDFXni9VRfvcZqOd+aYqUvK3I2lhAilnu2trZw4cIFbGxs4M0330T56AhHR0eUZWJsFDWwZn0BbuV7nPFgknFEZ1lEGZpSGcqDuTQ2TyJ3NVDhe8gBKK3EkL5o7KwqPgSJCyVK2s+dKF7UuyyTLFlpMcuxiOcDAcdWJRKNYm1tTZwifP36JgqFAkqlQ2xvb6HVaqLRqKPd6aBcBi69eRl920YkEkG73cba2iqy2RxzAhYS73UaPNV4uEGdbCejsCgSFpFpSh3E8Xi9HRZxw2BeZhQEGZJrbfl9pknLxDQthfGRlzV2dnawu7uLF154Aa+//jquXr2K/f19YYOzvLKCRDyOBx58EDOFAh5//HEUCgUUZgrivKO7ReQJQy9bvmSRyWQwMzuLUCiEwWAgmIK3rl5FPJHA2toaMpkMzp07h2w2i/vuu084i5MpfsOlWahtXJ24ZHYQkNu1PtDyT7oN3rEx4WEdwETfScdgppkTt1Gp4xCO/7ZBGUrKhAwGdCvnzs4OqpUqfvSjH2F3dxc//vGPUT4qY/P6Jnq9HgYDaouRSqUQTySo+//A7Ru+3ayUpkDY0lKK4fiP8VO2gsEgItEoMtksqrUaQqGQYCJLpRIODg4wMzODK1cuY3FxEffffx+KxSKWl5fFsjNnmLjwcdxhUEwGZHlflV0eyHWtjituJsV7IjcNUyg6DvsLx6iVtxFN8eMDl75c3Gg0sL+/j83NTbz44ou4cuUKXn75RyiXKzg8PBTeXtOZNLLZLAqFAlKpFFVwTAOm5nKDp+kkxhR5jtQZGFHPmhZg0MKnfxPKXQ1UAImmIoDAaobBQIohhigXYjHg0LpafPoa5nFQqR8rchyZRBsaRefpa416GocCHtD+JQ75A/WPkUqnYROC9fV1BINBVCoVBAJB1Os12LaNRqOBfp96njwqlxHb28PO7i7i8ThSqRQsK4BAIAgOUABDsRmiHZtuX/bSIAmRDbic/PLJAyIeabIRbUQUkEdZON+9WA3+fnmnC283fFfP0eEhtUXZ2sLm5ib2dndxeHQkvFzmcznk83msr61hdnYWCwsLyGQo00TPGpq83dyOJQAvVo6LzMBFolHE43GRt3K5jF6vh3arJZiWbDaLZDKJVquFYrEIAEgmk0r8ugaqa74cnDhhVZDix0Loz8vxaDlm1ygrqwMlKUbXREEnC3qt36f2S+VymdL71zext7uHg/0DVGtVsZWTM1KxWMyZlMfYgjpK/LRnHbzx70p4aQwV4ZXvrO+xPjgsnZwNiMViiDE2kTsK63Q6wmaFEHq6MV8STKVS0g4zNU/yJCq74ieEL6uoQFQvD2eeVW3SRF17KIAGvIGv+FRPYxDxEECce8TtlJrNJg4ODrC1tYXLly9jY+Matre30Wq10Wq1BPiPx+PIZrNIJBKIRKLCI7gCGjzkuOyK3p69hAMzeCiLx2mvdzdQkRHbkEI3ABCHiVXvDakrvx0mt2MiGCZeg4rfb73h6g3IN2+soxKDOOuPAAIBC4lEHKFQELFYDIuLi1haWsLOzg4uX76M69c3cfnyZZRKBzg8pEemX7r0JjqdDi5evIirV99CsVjEysoqUqkUEkxbTCaTCAaDYhkgxFzomyYFEPwkWWLbrIJlYEKca6DTCB2PDOcPTlMQnYrR+5S2JOBW/Y7rfGedu9frUQPYXg/NZkthU7rdLg4PD7G3u4uLly7izUtv4sqVK7i+tYVgMIi5uTncd999mJubw0MPPYSZmRmcPnUK6XQa+UJBrNWPclN9J4vORnID0Fwuh4WFBaytrcGyLOzs7KDFTsztdLu4cuUKtra20G63MTMzA8MwUCgU0G63RZnInkz5uUHUUZitKGujgLmcVg401fQ7IEVuOk6dyBMdZWGcZQW1HOqNOjqdDuq1OrrdnnhPs9kStjp7e3t47rnnUK/XxUS0vr6OaDSCQr6AfD6PM2fOYGVlFfl8HrFY3LfPDu3LI8QLWMlxqgchuh4GQJ2nEcKc70lgxUtM06QnoGcyOHPmDKLRKEqHh6hUKtjZ2VEMa3/84x9ja+s6NjY2cOrUKVy/fh0LCwuYn59HLBZHNBpBLBYTfYgyLIbot04SDNGvlZ1AhLNp9NM9KUu7efh4Qwhsg4D6xGGxSyBBLkN6GKfj2qDT6aDHNiB0Oh2Uj47QarVwcHCAUqmE1y9cwPbWFl599VXhKC2ZTCCXyyGZTCKVTOLs2bNYWV3BI488ivX1dSSTScbWDcTWYVnZkgHccduIzloKz+8sPps5PuRL/RwoRmOxn7ylHwAOSPHoCAY49eboRzCciWlclKd3VOUdHtq9l3hp5H7vmUT80Ps47/ACLcMZFeLYAEnhApYFMxKGZQUQCgVhWSai0QijdAPo9Xrs5FmCWq2GRqOBg/0DqkVHomi1WgAMYacRjkTQ6/WEp1YACIdDzsRtQDhYIoZDixDDQfEuYbMM4QOIvC4oK9GChRM51To4MBg4OzNarRbK5YoY7Hq9HtrtNkqlEnZ3dnB98zo2r2/i6OgI7VZLsEgLCwtYXl7G2toaZmZmMD8/Tw/si8cFXTtOmxkmfoB0VFi12Lyfm7Qd84EqFoshnU5jZmaGnv9h22iwSajb7TL2rY/d3V30+31sbW2h0+kIhokDnmg0KpbG+LZW57Wyhjz5pO3E4wVy5KUf+lv9LgMVOogPBgM0G03UG3WUSodot9oi3larjUajgY2NDezt7WF3dwfdbpdNulEUi3NIxBOYn59HNpvFwsIiCoUCIpGo8OIq14ebaVJl1JKNfN2XGWDFoIMVh9nk/RDO4AtpDNbSQojjoTmXy6Hb7TLgEROMrG3baLVaqFScvkYZmKhYRqU7CuNIp9PMeD+OUDiMAGSHeEwZMbxSpJaJ95jKtj/z8iFO+xJjExybKVomHmXMlK12u41Op8PcEzSxv7cnlowPDkpiqfjw8BAGc6QWj9Pdk9lsFrlsFssrK1hZWUWhUEAylUQoGBo6lt/IPCOLDnwIIcIpaL/fhz2g+ePLlpZlIRQOuwzdxxGDTJjq73//+/jd3/1dPP/889je3sY3vvENfOhDH1Iy9IUvfAH/6T/9J5TLZfz0T/80/uAP/gBnz54VYQ4PD/HP/tk/w1/8xV/ANE38wi/8Av7jf/yPSCQSY6WhWq0inU7j8KCEdCrlHtD1zqh/Em6BbzIN3ZuJ4B2AT5D+pzXfPKAybJAdh4Lzi9+P8pU/lfgd23jRCSliZxbqHCyw8N1uh03iZZRKJezt7WF/fw/nz7+Gy5cvY3t7WxjJWZaFbCaDSDSKVCqNaDSK1ZUVZLNZvOMd70Aul8fa2qrQkijQIIIxkT9teyDWhIUmzCcQaYCStWJ2RaTfKTBeLhADUr/fF5Tsiy++gO3tbfzoRy+j3W6jXq8Lj5Fdttun0WwyY9EoIpEozp07h9XVVTz22GNYXFzEfHEe8UQckUjEcweHvtTlt6ziVac3E6gMi0eePGXtDQDK5bIyIDcaDbQ7HVy5cgVHR0d4+eWXUalUsL+/D9u2EWeMCQdwwWAQqVQKKysrWFhYwLlz5zA7O4uVlRXBrOhLL/pk5KVdcq2Qg1F6z8mTTKU7fjsoKJHz7kyA9N07Ozs4OjrCCy+8gI2Na7h48RLK5TJCzAdKMpUCIQRvvvkmms0mut0OEokE3vGOd2J2dhaPPPIwpfYzWbbFm/qhSaaSojzGkUlAr14e8pKmaVIjXsqscKNN1W8Hn7AIITCZN2qTbTv2Air8GW4422q1sLe7h3q9jq2tLezt7eHV117Fzs4OLly4QNm3ThuxWFT4cKLLHzmk0mmcPn0axeI8zpw5jZmZGczMzCIWi4kdMRRLcrABetQHcdhSOU1y/csMGmEeYbnTNS4ckAcDAZiWKY0hhlCSCSHCIebrr7+Ovb19/PDZH6JcLgsGqVGnDFy1VhMs4tzsLNbW1rC+vo777r8f2WwW6XQamXQGiWSCLf1EnJPJpTTJwMVrmdZvnvGb3/gnbxsDyfkcsW26bbrTwcH+PjqdDsIhOnbPLyyg3elg/dQ63e2YSo1sj8AxGJVGo4FHH30Uv/Irv4IPf/jDrvtf/vKX8dWvfhV/9Ed/hPX1dXzuc5/D+973Prz22muIRCIAgI9+9KPY3t7Gt771LfR6PfzyL/8yPvGJT+C//tf/OmlyvOlEGfnzS54PE9dgRKN0n/DpR5ONQq3DJpZxZNQ7hwGkYZTwuPhUnXggxmBngLdhDxy337Kfh2g0ikgkgkSC+lBJp1OCUalUKqhUKqjVaoKdoEs9SUQiEQwGNgrVGtbW1mGaFtrtORG3wV1dG86SjsHzxgAMoB6M57QTQ/qDc43XtXchiAGb+zPghm5b17fEJFOtVp2JWaufWIwahM4Xi1haWkKxWMTc3BzS6bTjgNCAMthP0t7GvTeuRj3ufa/wetrliZ5PGKFgEL1eTyz5WJaFUqmE0kEJ4VBYnBGyt7fHTt92zoTJZDLCid7MzAwCgQAKhQLbBRKU8imp877C+DNpInLatrsM5L7DbRz08YLep3E0m02Uy2Vsb2/hrbfewuXLl3F0dIRYlJbDXLEIy7LQ7/dhGAYSCaopLy8vo1gs4tSp04jHYoLOB6iRpDwZjaojPX2TiAzk5D/KN7KxxOs9cpkJNcAAH3N5EJmN4sbCfOmm2WiyAzujODw6hG3b2N3dRb1eQ6dD7TT4jhjLCiCbPUQylYJhmOh0ukgmE8yGIyG2cxuSm3yZUaFpd+pfzj/95Nvg2XV2zSbE1WcVFkXVh8SETndF1rCzs4vt7W1cukQB7O7urugXvKxj0SiSmQzy+TyWlpawuraGs2fPIpVKIZVKCf9EnLUYZ9zwU7hHPed1TwHBxHErwW1uqP8fC4ZpKue/TSITA5UPfOAD+MAHPuCb8K985Sv4N//m3+CDH/wgAOC//Jf/grm5OfzZn/0ZPvKRj+D8+fP45je/ib/927/F29/+dgDA1772NfzDf/gP8R/+w3/AwsKCK15uTMWlWq0CYABiWGIJcQCK4friiRZ1cKKH80Om/kkgNzRQjIpb/hsnTZOGlT+ZSgAbDoNiGCa4ob0oM0JgGgYCwRACyQBb7kiiWCwiEAxgZnYGmUwG165dY/YrJTQaTfR6VRwclGCaJkqlEtLpDBLJJBYXFxGLx5BOZzAzW0CIaZaGwXeY0LQZBqNcpYFCniSVfIj8DykDNo5RgNIXSz27u7u4fv063rz0Jq5tXMPVq1fRabfRYnYU0WgU2WwWMzMFZLNZZDNZzC8sYGZmBg+87W1YXFzEzOwsEomE41lUXoKC2v5GiRcwkOO5HaK3Sy78YMJQKCS0r4FtIxFPoNlsojhXROmwhGeffRZ7e3t46aUfUQ+25SMxIfCtq3t7e2i1Wjh9+jQIIZibm8Py8rIzKWknbXMAIc8eFGhY4jfVDvsgRM0DB+FeBy4C7rGk2aST6JUrl3H58hW88MKLuHjxInZ2dtFut7GyvIxINIr5IvUldOb0aUrtM8bo7U88gUw2S/sMO4CQTwBeYJMf7+ClIQ9TtMYReSIWY4LYqqDmn/cz0zBgS4CdF7sD/gDDIMKmiCeN110oFEIqlUIylUQ2l0UgEMDq6ipmZ2dweHiIra3rODw8xO7uHlMS6qhUqjAMAzs7u0in09i8vomlpSW8/Ym3Y35hASsry4gnEgiHw5QNYmmRl1rVend2KrnLjg4Otk0wsAlfNQYMCiQN07Hjkxmqw8NDNJpNXLp0CQcHB/jBD/4ae7t7OP/aa2iynYJ8i34ikUBxbg6zzKZteXkZDz30EPL5POZmZ8W2ZPf4BuW9ev3cDNGPPjENE/14H7FoTDjqsywL0WgU9Xp94vhP1EblypUr2NnZwdNPPy2updNpPPnkk3jmmWfwkY98BM888wwymYwAKQDw9NNPwzRNPPvss/j5n/95V7xf+tKX8Nu//du+7x1d+BzFqwjaM6TWKP2WQ7zC+sU1KVjxQ7EnycT4vWcY2yJKTygLsjbqphQ5TW5ZJoAoLMtCPp9Hp9NB6aCEXq+HcqWCXq+Hfo9au3e7dCtmrVYHYGB/fx+BQAC7u3vodnsIh0OIRCMUoUvv5Z3EMukBlIamLfEtgWrHdQ/4yp9N2RnqjKuLSqWCRqOB3d1d7O/v4+joCPVaHb1uV9C/wSA1Ks5mMygWi5gpzKBQKKA4P49CoYDZ2VnkcjnBLPhpOpO0k2F1NgmoPo642pTPdy4y88bFtm26th4KYX5+HpFIBIsLizBNE6nUFdi2jVqtKibkbreLWq2Gw8ND7OzsIJFIYG9vD5FIBDMzM4r/GfqnpICl22FD6G+4+qqeT/2eDsR4+mj7raFWq2F//wB7e7s4PDxEpVIVmnIoHBa7NbLZLKLRqFi6isfjwliSa8o85eMyal71PoxVO077EG0VDIcYbiZ6mCIgZ4V+NwRrIW9F7/V6KBQKsCwTvV4PyWQCgQBlbTudLgCg2+2JYyqq1Qq6vS62t7dhGAaWl1cQDIWQy+VgsrIU5yTBoAdJspzwrco8/USlfXjOocwj0rzCRZzALS2N9Pp9HJbLqFWruL61pbjBb7fb6LMjEsLhMNJpuuWYs6+rq6tYXFxEsTiHZIJ69zbZ4YOEDcriDCN4jwk3YwyQ61z8AQgww3deBvwATX0L+bhyokBlZ2cHADA3N6dcn5ubE/d2dnYwOzurJiIQQC6XE2F0+exnP4tf//VfF7+r1SqWl5eHdlpFZApXKFMu7tEJLhW8LnrH17VXvYHcDO12FOg5Dhga9owCQOQ42G9LXquXWC65vCn6D2BtbQ3FYhH5fB77e3sozs9jc3MTV69cRfmojNLhIdrtDnrdLlrNFl566SVcunQJOzs7yOVyeOyxx5DJZLC2uipQuhWgu0DC4YigyOlKirOOztNj24AYW5jwtdVutyt8oPT7ffQYaGq3Wmg06njjwgWUSiX8+JVXUKmUsbGxiW6ng7jkoGxubg6nTp3C2toa7r//fhTyebpDIx5HNEK35oYjYaVj+2nJx2VU5Ot6/d0sUVqT/DrDgCCLfPorN7KNROiOjXa7g0gkir29XRiGif39fVy4cAGtVlMsFTabTbYMUMfh4SFarRYeeOABEEKEUTZnbziIpYbe8iCpMiuDgcqeyN5B+ae+Q4Q7auN/TWaTdO3aNexsb+PFl17E1atXsLGxiUajgXQ6jVgshkcefhgLCwt417vehZmZGczNzTnLVqYplgP1QV1WmPj7+XWePjmcUkdDxiJl2ULTxAPMXwufhEzTVBZz9PgIcQ5ABAMrfKzwY/68xGTlUCgUEI/HMej38fhPPY5qtYL9A+rd+cKFC7h69SreeusaKhW6nbvZaqFWq+H8+fO4du0abJtgaXkJ3V4XM4UZpFIpynxGKDjkzCa3bzItdgSGRP/YTHGxTJMdXWDCgjPm811ONiHo8bO97IEYUw5LJdTrDfzo5Zexv7+Pl158EeVyGQf7+xgM+ojGYkhn0sjn88jlcjh37mHMzc3hwQceQJotGUejUSSSCaddEMZsGc7SFAXgtIx5vd1K4W0kGAiAsKUoIpg12aHeZHJX7Prh7pX9RCX0tUFR7wy8xxBCd4DAXyPVO/NJDfjjrBdOEmYcQOV1f9hAMZRZ4RiP/3DueKeVhTNgIBwOU2Yll4dpmFhaKtHGbBOk0xnE4gl6IFmlIrb6cqM6PtCn02n0+30Eg1QDDYVCjCpNCjuGcDjEDjzUU8LW1yVqqN8fYDDoo1qtodulFvidTgetJgUsbUbJcm+y+/t7aLfbCFgWgomEODAtHo9jbm4Oa2trWFleweLCIjKZNNLpDMKRMELBEILSZDkpkPBi9bjczCXGScRrh8M46REG62GqJeZyORAQLC8vIxaLCZ8aR0dHaDYbwtjWsQHZRjKZRD6fF+fkRCIRhMNhcb4QZ7HoOr5InauN8N9ek7nskEv279HpdNButVGr19CoM6Cys4293T0cHVVgGCYSiQRmZuhEOT8/j/n5eeahOYtMJoNAMEhZPEC48fcDHHr/HNWfjysullS6piz9wD0Oi1/S5OQYrXvYMcF7nAsEAohGoyCEsDqk5xzxHXaUibFweHiESrWCUukQtTo9G6her2Nvfw+maeCtwgxq1ZoAKolEApEwVS4iEark+DmU5GnkjUOUgUmXeQybwCY2U27oMnG700GjUUe328X+/j5qtTo2NzdweHgojMqpgW8EqRQ9QmN+vohcLo/1tXUUZgpYWFxEIpFgwDugGk9Lhc6XrfS2e9yxwDPvHmH8xhvOplkWe5Y4reM4aTpRoMKdM+3u7mJ+fl5c393dxWOPPSbC7O3tKc/1+30cHh6K5ycRgdbkzEsaj/dDGMZIwu310oN4IRAGZSyE/OobllFAZNh1v7j8Brdh8Q8DK+ybR5o0ykKavIKBIIJWAIuLi5ibm8Pc3BwajQZKpRKazRZdw200cPGNizg8OsIrr7yCWq2K1157DQDw8ssvC8dQfEtjJpPB2toaVldX8cQTT6BQmMHS0hICzIkUT68Beh4GYevQXEuqVWtoNpt47fx5HBwc4Mc//jGOjo6wu7ONbrfLPIP20Wo0QAiBFQggmUzi0cceQyGfx+kzZ5BIJKijMvaZSCSpM7uA5Rw/zwyA/erPaynBzx7Cb4lCn1hulbjJb/f9ceKAQb2ULiwsoFAoIJ/Lo91uo1Ipo9FoYHt7Gzs7O3jxpRfFLhC6lZO6nX/+uecwOzuLmdlZZLNZpFIpFItFQaNnMhnmBTmonLrLJ0SZNTEMw+WlutPpoFwu4+joCJsbmzg4OMDm9U1UK1UcHh6iXq+LQzmr1SrdGUdsnD17FrOzs2KX0tmzZ5HNZFBkS13C1sBy159rQvepf2cLrvfzo1gWvzCecblq1GFYiAgnT+ymFtoZOw2DTvgsRU66DNVAn/fhUDiITDZD/Q+dPo16vY56vYHr1+lyyquvvYaNjQ1cvnIZh4eHeO3VV/H6+dfx/PMvMMUmjFAoiNnZOeRyOfzMz7wbc3NzePjhhxGNRmHxZQrD8RMis1V6GVuWhf6Asig7u3SX1+uvv87O9qJMD1/e6fXoUlU4RMet9XXqifmhBx9COp3GysoKotEoctmc2N1lmvJS6TDl0lnCvG0igzmwejdUpey2L/2sr6+jWCzi29/+tgAm1WoVzz77LD75yU8CAJ566imUy2U8//zzeOKJJwAA3/nOd2DbNp588snjv9xnGYfLyIHUhz1xaF4peqJ9CvsHKM94J3P0ko0fQDnu8sAobXvUss94y1eydmVolzTQwiYF0zSldfgAOp0O4vE4ms0m2u0O4ok49vf3EAoF6XJQj2rVAFBj2/ZCoRAajQY1wAuGcLB6gFAohE5nBiTkOE2T64+v5fI17Vqthmq1Ktzdb2xs4OjoCKWDffT7fQY0KMgJBoNIplJ0Z8bSEgqFAlZXVxGLxahWxHY5hcNUm+eHXcrLPMddDpTbx7jsid/9YayMX3hlwqQX2UvoV9mAWXm/aA4+LB9TNojEZvAzXNKZNOK9OGIx6m8nGAwiGApi/2AfhBCxnbPValEje7aE12DsSzKREP43AoGA2F3Dz1LSt4TzP0A+P4iWNT+3iTrz28PVq1cpUNmkyzrVahXtTgcdtvW03+/THRnhEIpzc1hcXMTy8jIFUoUCaydhsX7vVV/y9eOwZcPAyigGRn+nVxwKYKEIRdjSOEqLT/zeL/Ucy2m90O+mQUFLNBoFAMZmJkAIQSgUwlG5LLY6U6/HFCCUy0egLinorqlejy7z7u3twbIs1Ot1EAIEAqqzRb3Pyn5A+K4WClDr2N7exv7+Pt566y3s7Ozg+vVN1GqU4RsMBsw5Zghzs3NIJBJYX19HNpPF6soqkskk5ubm6AGesTgCCoNCAHiZGkjF78GoyGF5XobJOEwKD+enLMk/DSm8k+ZbwKjU63VcunRJ/L5y5Qpeeukl5HI5rKys4DOf+Qx+53d+B2fPnhXbkxcWFoSvlQceeADvf//78fGPfxx/+Id/iF6vh09/+tP4yEc+4rnj50bENclCQvsU7k0WoQug8FilIIRvazx5GnaYjJpglHVj7b4cziuuSWhl99q1nh5OaNH3xRNxxBNxZLIZEJug3x+g3++jWCyiUqkgk8ni4OAAL7/8MqqVivBaelQ+wmBAw0ajURyWDlEpVxCNRdFoNOiOgWQSqVRaHN7GhWvJtVoNrVYLb1y8iN3dXTzzzA+xtbWF118/z4x5CULBIBYXF5FOJXH2zGnqw2N1lZ5Dw7YIzs8v0IFNAyWUWPI+pE8uVy8weBJa0XEntbHvGY5WzH3X+IMwn7i1/imeM00EgwaymYy4PxgMsLyyjNJBCZlMBpcvXxbeba9evSpAxLWNDbEEGAwEKKOSy+Ed73gHVldXce7cORQKdEeW7AWYTwrqmU4Ok1Kr1bC9tYXnn38eV69exXPPPc98vhxQQ9hQEKFQUCwrZHOUxSnk83j7O96BlZUVnD51GplMhvrNCbg1y2HnsAyrH96OZDA8iv73nmT8J6ZRafBOK5sghwUmUp+wKBsre7KlfYiO3k7eTOGdOJFIwLZtpFJJLC0tIRaPYXlpCfFYDJubm3jr2luoVCnj1W53mEEzUC5XkE6nMDNTwMHBAbLZLPL5PFZWVgTzAgLFTwpPJ18CbDQaaDabuHzlMq5fv45XXnkFGxvObkYOUPL5HBLJJB46dw6zMzN47LHHkMvlsLq8Qo3vM3RnE3d/z0uOvo//jSrzkfr6TRexWCGDFTlBhnGsBE4MVJ577jn8/b//98VvbuT6sY99DF//+tfxW7/1W2g0GvjEJz6BcrmMd73rXfjmN78pfKgAwB//8R/j05/+NN7znvcIh29f/epXJ0683zqLrnk6wUdUNp9EDS2s9+KrcklolER+1tufhDsbKoMy+WDgLV408TAa2W/Z4MbsHnQaSiZ9HXf8pmEClnPmRzqdRiAQwPLyMhIJyrJUymWm+dQAA+h2Omg0mzANE+12W7Ai8XicnonRbKHfH9C13YCztst3ZlCqvoHr169jd2cH+/t7ODo8xKA/QIBtEYzFolhaWkQ2k8H6+imkUkksLi0hlUzR3TvxuGjbNnE0rXHAhlz+x7EvGEfLvnk0sORnRAMpkzB97AsATTsHK0NuqwFDAMFEMoHZ2Vm0222cOnWK+d0ZoFKp4OjoSDBlxLbR7fVQqVbRHwywublJncjF48JleSwWE8c0hMNhF0jh9iiclTkql7G3t4eDgwNqxNtuw7ZthEIhpDNpJJNJJJMJRKPUOHhxcQH5XA4L8/OYKcxQFiUShhWwXCf+jtv/h/Vrv7hGsbh+4jcm0JepQ6NDoOrKm/5Fjl9E5R5fCdFGDRpSzzNnP6gdo4F8Lg9iE6yurtKddQCOjiib0mg0hGNG06SHQpZK1E5uY2MDzWYT4TA1zI/H4zBNC5bpuKDnu866vS4Fr1W6u2vj2gY2NjewtXVdGHl3u10EAwGEwyHMzMwgk81iZXkZc3NzWFhYoM7amH0bZ19l3zh0TidexeYrDqMywr7B9dxkc86wJUhvTCXZfh3DmHZiz7R3gnDPtKX9A2TSad/OqNDTYGwHIDRd9pAIo1BWhtL12Pq5HLFb+KmcNlSHNqZkGDdsAjvpSUW3d/ACbfqnmhYvkOeTeXGYkux/hv025QGUhuqzcyj4FjvFMyyBOJyrzjw07uzuolqp4NVXX8XBwQFee+01VKtVdkhXC5VKFbFYDPl8nmnND6FYLGKRGaPF43GRn3a7jW63i83NTRweHuFHP3oJOzs7eOuta2g0m0jE44jFYnjwwQeRz+fw2KOPIp/P4b777kMsFkOGgagQc+vP/Wv0evQMFz5w6oO8zGh5lfuoyWVc+tbrGVd13WC3555q5Hzok67yJw1PCjBTGBUnrRz08e2k8m4WbshaYQzb1tYWLl26hI2NDVy5cgW1Wk0Y1LbbbXGWUC6XQzwex3333Yd8Po8HH3wQuVxOGOwmk0llp0S/3xdprdfr2NjYwFtvXcX3v/997O7u4uLFN4UR9crKCs6eoWeuLC8vI5lMMo+yGWG/FIvFEAgGXKyJ3FbGBbhen66yhf+YM6pd+NmuKE9JS9/DUuxUtQ9QcWYwIbY9EHkxDLqFWFllktqZfpIvtSvrMwPWGl6/cAH7+wd49dVXmQ+WLbRa1HU9IQSGaSAWi+Ls2bPI5/N45JFHkEgkUCjM0DEll6fsXDCEWr2GUqmEo6MjHOwf4PDoEIeHh7h8+TI2Nzexv7+HarUq3DLMF4tIpdN4+9vfjvn5ebzzne9EPp/H7MysMPJWeEeD2+XIV93envlp1H4MnM5oCWZrhHKvi194r+UekUZl6UefD4BqtYZ0Ln1zPdPeSaJrcITxXm5gLg2mkLoV5dYUzcBxTCRfhPDNodBahjp50PiZ/w2Bg7yZDH7PK53HBSx+g4uXhjucaXHHLTQfQilYdtU3HTRet0bAqUkOgwxxkcbHj+uxLAumYQj/ErlMBqFgEGur1PjMAFCt1ZDNZlGtVrG1tQ1CbLEWfe2tt1Cr1VAplxGLxRCNxWAadHmm1aJAZXeXDiq7u7uolCswDQPxKGVQ0ml6QFo+l8PS0iL1AplM0d07oRBMzcERL1N5UvCqT7296NfHaSf6fT0OrzA30qYmedZrOcErPUraJGbGmRANV/NyBnFTHEiYy+VACMGgP0A0GkU8FqM+TOp1lMtl1Gp0YqnVagAgHPY1m01YloV0Oo2joyNEo1F2krfDdPCJjJ8zQ8/i2UW5XEa/10c6nUYqlUKhMIPV1RWsra1hcWkJi4sLiMfpWT0JxrhRg1lvkKKX86Qg8rjPjROnxw2wl7FP+g9RnnGNwOO9lJMAEsOm7CLj7yJEOJMjhnvZlNu/pVIphEIhLC0uIRGny0OVSgUzM7PiyItOp4OD0gEAglKpRN29h8NUIclQHz0cVESjUVSrVewzNo2CEsqoHOzvo16vUe+67ByeeDyOleVlZLIZnDp1CjOFGeTYyeChUGjI9mHqSM4palXJU+tZL1uvsjc8wjnlNUz0tuU1ZvFxnk6coB2aeMV7fEX8rmZU9nf3BKOiayWAquUp2p5mswA4mrzsIVQvGUc7ZO+QgIptSydIcmMrk2vSdEo2tS2HJ82sDAMqw57xvu892LiDytytdsdgHcSQf9MOJ/xRGA5w9BroaFjCDreyBfV6dHQkjNd2d3fx8ss/wvb2Nl577byg/rmXS6oNBcVODw5UOp2OcFcNALOz1KX9u9/9d7GwsIBHH32UnmicywlvmZye5VqeHyjhSwZ8YtVBjR9Q8RKvdi1/eoUddf2kGJVx0iP6DAzvnRNebceUGDYtLi7cRXeX+dxptZrCNXm90cDW9evY29/H+fPncf36dWxvb6NSqaDT6cAeDBCJRMTZQaFQmDkSow6pbNtGjS0R2AMbtk39pfQHA7TbbWqbVJzHwsIizjKvoadOnUKOOXDj7c20DIVh8wKOXkyUHsazDlxarbed0HEYFT8Rz3FFzsVCA/rY4c/SeLzXUKdVrvwZkoYo+7KBVFbuMqT3mszNQKPRQLfbE+fQcKeNf/2Dv8be/h7Onz+PXq8ndhlFIvQsoYWFBQFka7UaXfZj55fRtmEDDGTPz88jl8/j4YcfxuLCAs6cOYNsNovZ2VlEo1FxKjyff7hxtwNa+A4jxz8OIBt2O8XvZl6csnfXrwMq1DoYb64ZBVScgJArTwlnGBTIVGvVnyxGRRcVOxJRZko5EiJO3pXF4P8Q6cA74rABBgBIuwCUl0pxeyWIswjjMiuufI2g68al5yYXni6aEZ4P94sMh4VyvV/16OnKK3E0aa/7PA7uqp9u1TOQTqcQiYRhmtSRV61WpeeDNJtoMb8nvV4PnU4XrVYL9XpdAAaezGAggEg4DIu5KF9cWkY2m8HKygqKc3PI53KIxxMIhcLMu66hATJ3R5XzoLMrXgB6GOs1TIaBAyWFx9S2R4aXJpSx0s2VgDHTwrVpwjz0ebUPChbZwXxRwGJn4IQlnxiJRBKDwYCdrBuju7lKJerUr0e9mVaqVZimiXqjLg7d40sIMOh26YBFt8RbloVgKIRslu7UmJ9fwOkzZzA7M4NCIY9YlG6bN/lSBfGuW7/lG53pPI749jUPGaf9KHFJTIoyaR1LW5bHF+mr1LbkMURXeNgPJa2AfJAn/e149zUQiVB37j3mBTYWi2FtfQ2xeIwpP3T3Vr/fR6VSZgpSX9iscL89/EBNarAdRDJJl5dPnTqFuWIR9509i2KxiIWFBSQSCcGiyCBl2HinlJLhAHwOiPyAyK0Up/5HsG/KteO96+4GKtq8IQZO5dfQx9kXQ7lmEwZybPlsC8DkYb32gbs6vJOSO1Ump5g9r4qilgdXp9xUsKKXC5+wdbsOwgZCR3tyPIby490JISgWZ7GwMI9UKomdnR3k8zlxuNf+/gG2trZwdHSEw8NDwXalUtQ76NzsLNLptLBdOHXqFHK5HJ544gnkcjnk8wUEAgHFyRchAAz1vBfDcIMVel0dUGRt1wto+D3nJ171d6NLPWOLR/P2GnSPnQ7WVAZsgNZPgOVx84PYgsEgItEIEswzsWEYWFhcRKvZojuFSiVcunQJ+/v7eOONN1AqlbC9vS18nnDPsnL5cSPHQqGAaCQiDCAXFhYwOzeHs2fvw+zMLJaXl5lX3Si63R56vT7A2CNiGDAIZ1SdcuGfsu2NDlKOU3Y38uywOHXxcux3Mu9QOpKjMPJDRk03Q8QBjds2jH5yD8XcaWgmkwYhBDMzBTRbLRimgb29PRBCcHBwgPPnz6NWq2F3dxe2bePatbdEG+v3++h0OrBM2u6oz6Q4Tq2vY2lpCY899hjW1tdxan0d+XweYXaasV6G3P7Jq69ztgRwfOPQP5vlU/ZFIj976+abSdjck5C7GqiIhssNdqRlBBrA+aATjHSXqOuqHt3Ek5IdRq1TVsahHQ1G05gsbTciXss63gyGGmbYfe9rhuvbsCFpnDA8LfRPveaVB/k6dwstzjthcVCgQDttNBoVZ7yEQiHUalU2Ee0gl8tia2sLsVgUg4HNwM08stks1tfoYJLJZBCNRlEsFoXhI7X4N0UaDMMUadcBlVMSbspd/u0nXnS97sPDq6yGad2TauVezMuwZ0ctTyjMEgxAtlWSkJ3DZLqfl+P3Wj7xCiuHC4fo4XMzhRlEIhEYhoGZGWogWS6Xsbm5iVqthuvXrwtNmS/XBQIB5LJZJBIJrKyuIp1OY319HckE3XGUTqdRnF9AKklPr+XO4jiQ5gBdbvd62nl6+XNeZTisjP1k3GUe/T1ez0yizDhB/Rng47BEfBw1DDaWSm8hbBznoAae73D3G4MxZVFCUGSeaWt1uqwDApQOSyC2TT0Pt1pgKYARpOeJ8d1iS4tLWFxcxOlTp7C0tCQYFX6shqWBJx2YqnXDxwH3uVI0rAW1TbnrdVRdT9qWJqt/4mbWpHn2Rhj+uxqo6Aja1UFli2dD3Ymj0pZw0QUyPa/EaTigyCs9hBAYpimWn7gG4LzoZOQ4WpPX+qK3SM1NAn830tC8gAoHGjobIf/mA7hlmVKnlRIHIJFIIBqNAFjGww+fQ4ud9XHt2jW8+eabuHDhAi5evCjivv/+t2FpaQn33/82zM3NIZlMIhwKCedbfJtqv0+BTSDAJxHLYb7p6Cjlz0mPrinp5S4PQpwxkp1IAXA5AfNa9hgGRjy14Am0IK+2Pyy8KxxbulH7IKVhZB8Z7GUusOIAVVP55Gng+db7qVzukUgEkWgE8UQchFB3/N1Ol20fpe2jzHaSHR0d4cqVK+h0OjBNE9FIBKdOnUI+n8fDjzyCXI7u+opGomJ3EKfxqU0LwWBA80dBiw2bnb47DLTKQAyAqx3ciIxbV+OPCzcuk05YhsHPCWLnd/E+BYDI9oDgE6WcHwJC3H2QlzVXbE6fPo1ut4uFhQWUSiXkMlS5MWGIU7q5LRSv75mZGcwvzOPcuXM499A5rK+vY3FxEakkdYUvvO762KbphrSCrYXDJvP+7XjmlcdPfS3hDhRN6bmRtnVXAxWlEaiquqOxGWzANE06dBJ5EpYbEPsEFKrfJrZgbEzLBGz1UC6dAnWYHYBrAY696XgddBzmQ0fbk8SjDhZeqJylHXIQOly4tFn9G6evFGymTrgQxnFy2qWQHtmRbRX4++QByTQtds05wXh2dhaGQRmX2dlZUcdLS0vI5wuYn59HKpVCJBJFIGDBsgLsfCA2eViGssRBpO/uIjdYs/PeYSXyQVRqXwfZo9iTYWDFT8MaBrr19A2TccKLfmG4tSuD2zLBo4qJd//wKxcZrPgyV1obC4VCsEwL2VwWsVgUlhVAs9lELBZDvV7HmdNn0Ot1YbBdRUUGYldWV5FIJJBOpxEKhpxt6bpXW3UHrcP0uvLq3uFDfACKZ0n7TPRKWMNheOkzTvkq5QWvshvRHggPwyGEx205JqnP6u8UHV6MGU5ncxg5J+3yuEUnce1sHkWR0FPD77ltwwKBAJKJBAwA9529D4V8HuFwGPV6HaVSidm7URAbsALI5rKYmZnB2toa1lbXMDMzg3g8LnYEKiOjnBfRbuVpysuwnjK4/uyJiuxPGmDqTcytmLnnTueexnQ5FwXwnFTu6l0/5XIZqVTKGbx4AMNp7LoQ28/pGv90XKt3u12FquMH6gWDQXEqrxhctYHWi0XhGpYu41CzXssDXpPcMJG1D1VbV9MiswNSKtg73GmTbvuCMVljJIT7AJA6INGobk3j5mnnfjX4eq2sdfD0EOLsvuLW/o1GQ0SXTFC6PhQKwQoEpLTJk6A7D3KfG++6N5AUk5PGCAyr32F0r1+9y+1C2SkxJE45bV55cLVrn0lP6QswlH4irssal+0GUjAgnQHjrRXL9/zKWRfuo2fQp47/uLv7Vqsp/FNYloVoNMpAb5wZ0QY9J3MFWDLWjric/6lpkuvGNUlJEzS7qGZgjCGbxu8oSb4KOJHGBQ3w+Y5KfKwjSimIuVNPnaxcDE+0/A6i5ZOIE4qVdutR52KS1KJzp8d5hsc3GAyoM8B2B0dH9FTucrkijk/g7EYymRSndKfTacHGcg/VXGi/4+y/nj15HHCMZfV0yu2HXiNaWLddjlvGBKFS+uR3jANUlOqz1c0oTj4M1Go1ZH4Sd/34TvQeHdxhONRexcG4AQoobGJjYNOtiabJVCXe90Uc2uuGNALFR8QE6NdrUuNx+GmVfuIX1vlpeFzj6RgVOf/wTgd9r1ecmi0DvQRlUCPOT9n6Xbe7c8SU7EpMxOMGgsGQuBsKhREMBBSNGNDzrA6u7vxrWqIykIwGjXJYwzDEBOm31DiUxRhzgp6krfjFLd3Rfo3524Ab2Y2pK/kxVZPmSRwSaZoI2HRyGdgDRKMRWnasvHkbCQQCMEydwWRsggGo2jMYWHHaJ2WXeN5FgfAnnPzwyxqoMLRnCMuzFwtF7YEcoOPJ/ErznOyOQcY1viIrFIDWaQy1fl3C2/uQyOVfDuUA6Y2guXIGZKVYeUELsDJcWdDFNExEwhEErABM00Cv10cqlcZgQLenc6UoHKbG01ThCYuxxBm61HGDyHQsVIAqT+jezInzSZunl7IivnnE48ViaMq9Fo8MpEb1Ldf8Idgx5VU3JPcEUNHFNXBJg4/YCgs4yIQJb/BcAx0w76kwABPsLBfT0J5h2qKkMcmDsufSkFcaffLBP3Wg4tIsMLpB6WGctMgTLS8J31S54hsvL7YCTGQmhX8Y8jcFhPAhhwC2jurpn06vAgazjgeCwRBisbhPulz6n0vzcYtehu4O7cVSeN3j5ad7rdXZlHFErwedFZHfPQoA+YEm6W1QBl54txrP69IEJE8yXk+669WdFjmt/PswsMaf5QbaoXDIMyzgVhB0sEKI1F6YZuywQ07jVrAHy78D0OXrgGuQd80mEIDBk4VSv7Bf0mnF8FkOlAcCn8nFH4BLvdfQQd2NiQOMZIWGgRT6QrlJjdF//d9jmAbCkTDCCCOeoGOGbdsa4+f4RgLcY7xqZ+SuQL82xdPrVhx11xCjGogshs93fyFa21LnGhaTx/ggp0i80adJTyr3JFBxdQ7D6UQwVHTpVWic3guGgiA2EW7ehR8OlfNUI/IAJ6PS6KeFezUGLypen3CGxeedFvlz0oFFdsbkXjLx1xS0NHh8gz6IejzgjtXjik+n8hoonMnHb6KjYdxgxSusoQ1CbiDi99yo7+50D0+HHH7cyWN4OGPIL/d113BqGJ7+jOT7fmnxStekE+K4Gvbo9zNtmFAwLn5Amti4ojQknToYk4YTJ4xUml73uTJmSCGdfqNcVWLVBi8pZ65qcMchQJgzk/JxVs6H8ja9K3smSwKzfsCHELb9m7jinESGAWHiDGCu5zhx4GKtiNqeHCArP+yEI66bvinV4tTbsJ7M8UGKF5PiF45WjT4vwT1mSuCR59GvFY6SexKojCte1UEA6n0UJoIICm2XU35+g/6k4ER55xi9bJiW6Bf/sMF4FGg5nrjRvZcW4MqHDmaI1nVvZBTS3jdOWcv58CuPSctJByl+YGWca+PlwS2jJvtxn9XujPf8RG/zfuckDOQo8dUGPa57TZT6OOBMN3zZh7iBtsagyPHLn3oYB3Q4P5xupdapwzLSdxIFKrpypkbqhUygptlrnBt76Y2oT3tO4PoFiX3S+zFnppTHjzmA+bHSTpnSciLy2KTnW2Mi3C9xwjlARS7TSfq1e3xSx1pDCTe++Pch/3p2L+vr+PdG5ScaqPiJDEw4UOHXb0QmXUsfJpMsCdxJ4h7g6b/j4GzR9g1pQJmgDLwAy60sQ/5O2R5l1NLdSbaX25HnscWAWJIAjle/Nypy/ShpOGZcfkt5/HNi4CjmHsM9SapvZ+91visR6H2Ql7nf+ObWP8RzBCfdl3QlRk3jsCW9SWTY0qwrRawubVsOZwMwwPaEKukbRyFU80OcZTlD3hF0Y87/ji9+ZezVHW9MiRxX7mmgMo5m5bVM4gVI5IFebjiTarfDGt1JTyTH0byPq63r4pWHcQYEwBuAG4bhHi99mIZh756UlZr0vt8z+vv1dnCceP3y65f/YeUyaklC/62XoufWYkmz9xKihZUNzpV3T9DXjtMf9d/DAIbXc0rdKnT+8Il14jofYwKU06TS+GxZVlpS8UyfznKIvHnFr5eTntdhbM4Y4gNS9E/HVoQ94wOqgCGM2Fhjk1OWhHCfLVLb19kdeNSzXvbEASlQwIkKVnjcCus8pA04rxmRryGgZJioyz9+9e69e/I47eGeAyrjok+viWLcNX/+/DjhjiNeeeANXu+cd6R2fAxRnYOpIgYXqE3cr7nrmogfHTuMyThp8Wpfx5FJljduVG5127rRMpoUyHgCY+IYOvIJQgbJRJogeHsUE4486ZxQnnzFr26k9Nu2DZs48N40TRjE8e3E02rzMUVb5gF8yRR2h9uGEDiLTPJahEdEEnA6jvgtSSjlob1Lrs9hCsKw8cA0TdW9g7y8JmEjZ/XFKQ2D/fZaDRGhDB1IeaTJcMyIh8uNlbGXHGco0DDxDck9B1Qm1eQn1Wy9NNBRLMk4Gq6XZieL5zr2CU+0wybzO0JEZ3c0GMADz3uAFD+NahyN2ev++El270gZFnaY3AhIGcUAjhunq51KSrPLd4pBNGSplan+gxyPiRtWd373ZJDiYofkMBysyOEk8AJAOGtT2hl9uWiH+p9X+kfWjf6cE4FIFwdOHKTQyVVScrTiJZDBFeH/O+/Qf7vqx3lWwkRuhoUDB0N+TmXMxLXjzG7yWGCIrPgyZLIMG1PlZ0zTdNLGXkSEwYl3vXoyZ3L+DMolUrAiPcfy4RqnIP+W60upJf4izzzq99xJmgRcu+NxAIqPP6pjDKX3HFAZJfqkMc4a4KQTxDDKmMskyz/jUPsnITdN+zvRd6nP2D5xDBuQbiWT4pcG/v12AsEbXWpU2S1twAKBwU8ih1AYVUYD0qB8C0QGrTqbIteF4q5fepZ+4R/E+SQQbIrY1eDR1oaBlTEz4HwfBWohp8nhPAw2ITrAxQEG3HZKwRKYcAxjcXqOqV4q9rBsyIzWGP1cQCaeHw+QQghR2OhJxmm5XgVQ4QdPSkBFSStrG3qZ8udNA6KGeL2IOmIvHeajSAYpTn9WUuwpnAlzX7sxcZigk2NTgHsMqNyI1ujHcBxHix02CI27nDQORTmupnmS4OMkJ1ZjaGv28DRKn3I9o1D1UtzyoKS80+PzpBiUYeIHOPWB+EbrbZznvZZA9DQOfb/B6kMek7V4iDaAOkSYChIcVdL/dV7pmbSOvICKLoahHXznMenI7U+fHBVDby2dLpAyQgHxG3t4vyFCy1ZuyhyH+JR9Oynv92sHIg4HLPAwhkcexW4nDVzoEz3fTgztaS/hwGAYQybSpcfI6mnYmOoXp2daFIACp4BMk+XHiznRvmogxWFSHHaJAx6nikZ2Chal08dk8DJuHxk11IxS5rXQ4GyK0n2OMZdyuaeAii43whB4TSI3qoGOIzrjI7uGP+67byVTMrH4gpVRGuNwJ3g0anWCuJ1yXIZNl5Oox5Noz+r87Q96lHcR9T4BYLLnhSY5URqOP/Eo4aVJQn/egCHO+3L8pMjPau8c1fYmSZtH31DqTGNElFdIrIlBkYXjrNJBIRLokGdROY1q33L1S/Eo74eGdIN+ys8Z0jTqYR4/oji0XWGGtKRFiJIv6ePGmUMPACenidaB/tDwfIjS0M7EMkyVkRsakQb8pQTzFw1Nw40p36OeleexsV/jK/cEUPFF2UO0pnEnDD80f6MTzqh0DmNUxo3XL65Jnj3O+8d+h9yh/MZJRUYPbF6A4E4BKbrcLKZrnHjHBSu+bYc4Ew674GvrAQ+QMjR+vX14xemR5lFsJR+cvdLhAivsX2KoS1heMjaD4gQY/ps3cw+2w5V/iVlRciP3Aw/wzl/riXVkXKVpxPRxB9jQb/7167zPG+Cp+R6v3Yq8SJFp1mtK+Eni9LonvUYTQ0mD36sMny+C6TLUsA7o5RHT0GrC6AZpuYsp7xTFTpT25c8guxLpzoehp8OP8ZPjmQyM+sk9AVRGiaxZHGdyOA7FPLFWpzUgr+fvWFbkJGVosXkM8D40M719ewHKnSbHWc682WWoM+l+94ct10wihuH4R4LU1wxAWfIRKSLOLwK3JurHlPmWmxtTjA4DjYka0ublxBrM+JODJX2noDLpS/kS5eA1QXqkS2c1RTImaTsTgGt/kZkhj7sebNe4oszjRLmiJXLsmCAfa0DTMyTeYUJYovTOpIEU77SM16fc0RCfTzkBzrM+5N/YclcDlXEofR2kHJcxuBFGYxJx0Zu34J23TeQ0e7VgWRvT+oGhrZ3T4Mc3Vrwd5XcS7/Rijm4loPXWl530CLsFpj1OYmfiRd3rfWMUc6Y/6zkOyBOERxyeIIW3QaHNe4MVsTSgR+j1e9xqM6S0esVNHPClpAPe5eYZPwcp0uziWb7ae0emmy/RiLDHb6u8TgwCusMMfPLnAY63FVlNslanOkHgMT8bxKMwxJglfrhsh5xPlWXxLCOWb3qXaKBnvHFFBkZytxxWJl5Hi6gAxFCu87hvBKQAdzlQGVeOg6Bvh4yaYO/09N+QmMPypnZcmZ7XDfPu5TI6DgDTnwecw/iA47F/clyyeOpUhjYQY3yt+6T7rexhWqX09YkB6j0ihnPpX37fT9z5HikuAGPwFMAiuhNK/zSblgUQAtcTPqyPb/kqYMI7PyYDNH5zkO+ylx9Y844FhlYHSv4N1b7JAm1jcjsfmqZJZJx0D2NcxonT875HIJZvQ7yTfRk7f25QMf4zelviiRjenw0DMIeO9d5yTwOVk9ZYb5bc7HfcKZP3jabD6+k7JW83Q46bt9vFxI09PN7COjsug6oGVr/cqtQr75m0zAzjxtNpuL74hLm5W8zVeXpctuDWjwsTJnGCUvNpwzfw8pOZG4emyDfccd59Y4fXTGUqU5nKVKYylancRLkrGRVO21ar1duckqlMZSpTmcpUpjKu8Hl7Elu6uxKo1Go1AMDy8vJtTslUpjKVqUxlKlOZVGq1GtLp9FhhDXIX7nm1bRsXLlzAgw8+iI2NDaRSqdudpJ9IqVarWF5entbBbZRpHdx+mdbB7ZdpHdxemaT8CSGo1WpYWFhweQ73k7uSUTFNE4uLiwCAVCo1bZi3WaZ1cPtlWge3X6Z1cPtlWge3V8Yt/3GZFC5TY9qpTGUqU5nKVKZyx8oUqExlKlOZylSmMpU7Vu5aoBIOh/GFL3wB4XD4diflJ1amdXD7ZVoHt1+mdXD7ZVoHt1dudvnflca0U5nKVKYylalM5SdD7lpGZSpTmcpUpjKVqdz7MgUqU5nKVKYylalM5Y6VKVCZylSmMpWpTGUqd6xMgcpUpjKVqUxlKlO5Y2UKVKYylalMZSpTmcodK3ctUPn93/99rK2tIRKJ4Mknn8Tf/M3f3O4k3ZPyb//tv4VhGMrf2972NnG/3W7jU5/6FPL5PBKJBH7hF34Bu7u7tzHFd798//vfx8/93M9hYWEBhmHgz/7sz5T7hBB8/vOfx/z8PKLRKJ5++mlcvHhRCXN4eIiPfvSjSKVSyGQy+Cf/5J+gXq/fwlzc3TKqDv7xP/7Hrn7x/ve/XwkzrYPjy5e+9CW84x3vQDKZxOzsLD70oQ/hwoULSphxxp5r167hZ3/2ZxGLxTA7O4vf/M3fRL/fv5VZuWtlnDr4e3/v77n6wa/+6q8qYU6iDu5KoPLf//t/x6//+q/jC1/4Al544QU8+uijeN/73oe9vb3bnbR7Uh566CFsb2+Lvx/84Afi3r/4F/8Cf/EXf4E//dM/xfe+9z1sbW3hwx/+8G1M7d0vjUYDjz76KH7/93/f8/6Xv/xlfPWrX8Uf/uEf4tlnn0U8Hsf73vc+tNttEeajH/0oXn31VXzrW9/CX/7lX+L73/8+PvGJT9yqLNz1MqoOAOD973+/0i/+5E/+RLk/rYPjy/e+9z186lOfwg9/+EN861vfQq/Xw3vf+140Gg0RZtTYMxgM8LM/+7Podrv4f//v/+GP/uiP8PWvfx2f//znb0eW7joZpw4A4OMf/7jSD7785S+LeydWB+QulHe+853kU5/6lPg9GAzIwsIC+dKXvnQbU3Vvyhe+8AXy6KOPet4rl8skGAySP/3TPxXXzp8/TwCQZ5555hal8N4WAOQb3/iG+G3bNikWi+R3f/d3xbVyuUzC4TD5kz/5E0IIIa+99hoBQP72b/9WhPnf//t/E8MwyPXr129Z2u8V0euAEEI+9rGPkQ9+8IO+z0zr4GRlb2+PACDf+973CCHjjT3/63/9L2KaJtnZ2RFh/uAP/oCkUinS6XRubQbuAdHrgBBCfuZnfob883/+z32fOak6uOsYlW63i+effx5PP/20uGaaJp5++mk888wztzFl965cvHgRCwsLOHXqFD760Y/i2rVrAIDnn38evV5PqYu3ve1tWFlZmdbFTZIrV65gZ2dHKfN0Oo0nn3xSlPkzzzyDTCaDt7/97SLM008/DdM08eyzz97yNN+r8t3vfhezs7O4//778clPfhKlUkncm9bByUqlUgEA5HI5AOONPc888wwefvhhzM3NiTDve9/7UK1W8eqrr97C1N8botcBlz/+4z9GoVDAuXPn8NnPfhbNZlPcO6k6uOtOTz44OMBgMFAyDgBzc3N4/fXXb1Oq7l158skn8fWvfx33338/tre38du//dv4u3/37+KVV17Bzs4OQqEQMpmM8szc3Bx2dnZuT4LvceHl6tX++b2dnR3Mzs4q9wOBAHK53LReTkje//7348Mf/jDW19fx5ptv4l//63+ND3zgA3jmmWdgWda0Dk5QbNvGZz7zGfz0T/80zp07BwBjjT07Ozue/YTfm8r44lUHAPCP/tE/wurqKhYWFvDyyy/jX/2rf4ULFy7gf/7P/wng5OrgrgMqU7m18oEPfEB8f+SRR/Dkk09idXUV/+N//A9Eo9HbmLKpTOX2yUc+8hHx/eGHH8YjjzyC06dP47vf/S7e85733MaU3XvyqU99Cq+88opiGzeVWyt+dSDbXD388MOYn5/He97zHrz55ps4ffr0ib3/rlv6KRQKsCzLZd29u7uLYrF4m1L1kyOZTAb33XcfLl26hGKxiG63i3K5rISZ1sXNE16uw9p/sVh0GZb3+30cHh5O6+UmyalTp1AoFHDp0iUA0zo4Kfn0pz+Nv/zLv8Rf/dVfYWlpSVwfZ+wpFoue/YTfm8p44lcHXvLkk08CgNIPTqIO7jqgEgqF8MQTT+Db3/62uGbbNr797W/jqaeeuo0p+8mQer2ON998E/Pz83jiiScQDAaVurhw4QKuXbs2rYubJOvr6ygWi0qZV6tVPPvss6LMn3rqKZTLZTz//PMizHe+8x3Yti0GkqmcrGxubqJUKmF+fh7AtA5uVAgh+PSnP41vfOMb+M53voP19XXl/jhjz1NPPYUf//jHCmD81re+hVQqhQcffPDWZOQullF14CUvvfQSACj94ETq4BjGv7dd/tt/+28kHA6Tr3/96+S1114jn/jEJ0gmk1Esi6dyMvIbv/Eb5Lvf/S65cuUK+b//9/+Sp59+mhQKBbK3t0cIIeRXf/VXycrKCvnOd75DnnvuOfLUU0+Rp5566jan+u6WWq1GXnzxRfLiiy8SAOT3fu/3yIsvvkjeeustQggh//7f/3uSyWTIn//5n5OXX36ZfPCDHyTr6+uk1WqJON7//veTn/qpnyLPPvss+cEPfkDOnj1LfumXful2Zemuk2F1UKvVyL/8l/+SPPPMM+TKlSvk//yf/0Mef/xxcvbsWdJut0Uc0zo4vnzyk58k6XSafPe73yXb29vir9lsijCjxp5+v0/OnTtH3vve95KXXnqJfPOb3yQzMzPks5/97O3I0l0no+rg0qVL5Itf/CJ57rnnyJUrV8if//mfk1OnTpF3v/vdIo6TqoO7EqgQQsjXvvY1srKyQkKhEHnnO99JfvjDH97uJN2T8ou/+Itkfn6ehEIhsri4SH7xF3+RXLp0SdxvtVrk137t10g2myWxWIz8/M//PNne3r6NKb775a/+6q8IANffxz72MUII3aL8uc99jszNzZFwOEze8573kAsXLihxlEol8ku/9EskkUiQVCpFfvmXf5nUarXbkJu7U4bVQbPZJO9973vJzMwMCQaDZHV1lXz84x93KUrTOji+eJU9APKf//N/FmHGGXuuXr1KPvCBD5BoNEoKhQL5jd/4DdLr9W5xbu5OGVUH165dI+9+97tJLpcj4XCYnDlzhvzmb/4mqVQqSjwnUQcGS9BUpjKVqUxlKlOZyh0nd52NylSmMpWpTGUqU/nJkSlQmcpUpjKVqUxlKnesTIHKVKYylalMZSpTuWNlClSmMpWpTGUqU5nKHStToDKVqUxlKlOZylTuWJkClalMZSpTmcpUpnLHyhSoTGUqU5nKVKYylTtWpkBlKlOZylSmMpWp3LEyBSpTmcpUpjKVqUzljpUpUJnKVKYylalMZSp3rEyBylSmMpWpTGUqU7lj5f8HmVlLDhwRWCkAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Path to your image\n", + "image_path = \"/media/shayekh/Data/_learn_/agents/vl-exams/data/iq8.png\"\n", + "# image_path = \"/media/shayekh/Data/_learn_/agents/vl-exams/data/chem.png\"\n", + "\n", + "# Getting the base64 string\n", + "base64_image = encode_image(image_path)\n", + "\n", + "img = mpimg.imread(image_path)\n", + "plt.imshow(img)\n", + "\n", + "image_url = f\"data:image/jpeg;base64,{base64_image}\"" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "ed454cf5-ecda-4696-87d3-93c466a9e490", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{Explanation}\n", + "The image contains a series of hexagons with numbers inside them, arranged in a pattern. This type of image is often used in IQ tests or puzzles where the goal is to identify a pattern or rule that governs the sequence of numbers and then use that rule to determine the missing number.\n", + "\n", + "{Category}\n", + "IQ question\n" + ] + } + ], + "source": [ + "# question = \"What’s in this image?\"\n", + "question = \"\"\"Categorize the image: \n", + "\n", + "symbols, figures, graph, table, text-only, math formulae, chemical reactions, IQ question.\n", + "\n", + "Answer in this format:\n", + "\n", + "{Explanation}\n", + "{Category}\n", + "\"\"\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"Qwen2-VL-72B-Instruct\",\n", + " messages=[{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": question},\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": image_url}},], }],\n", + " max_tokens=300,\n", + " temperature=0.0,\n", + ")\n", + "\n", + "print(response.choices[0].message.content)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "c52b965f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Chemical reactions\n" + ] + } + ], + "source": [ + "# question = \"What’s in this image?\"\n", + "question = \"\"\"Categorize the image: \n", + "\n", + "symbols, figures, graph, table, text-only, math formulae, chemical reactions, IQ question.\n", + "\n", + "Only mention the category without additional explanations.\n", + "\"\"\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"Qwen2-VL-72B-Instruct\",\n", + " messages=[{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": question},\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": image_url}},], }],\n", + " max_tokens=300,\n", + " temperature=0.0,\n", + ")\n", + "\n", + "print(response.choices[0].message.content)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "9d38817e-1c4e-44ec-b691-936b1d5683a3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The image is a collection of symbols forming a pattern. The symbols in the image are the following numbers: 26, 41, 56, 34, 46, and 7.\n" + ] + } + ], + "source": [ + "question = \"What’s in this image?\"\n", + "question = \"\"\"Categorize the image: \n", + "\n", + "symbols, figures, graph, table, text-only, math formulae, chemical reaction.\n", + "\"\"\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=\"Qwen2-VL-7B-Instruct\",\n", + " messages=[\n", + " {\n", + " \"role\": \"user\",\n", + " \"content\": [\n", + " {\"type\": \"text\", \"text\": question},\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": image_url}},\n", + " ],\n", + " }\n", + " ],\n", + " max_tokens=300,\n", + ")\n", + "\n", + "print(response.choices[0].message.content)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e11a8c64-d800-4625-8809-ee5464a86bf8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "674d80b8-16be-40be-83cd-edc7889d66e2", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From ee9159e8126d8e250538f75d9452a135dae9fbbb Mon Sep 17 00:00:00 2001 From: Shayekh Bin Islam Date: Tue, 10 Dec 2024 00:02:00 +0600 Subject: [PATCH 03/10] add prompt by Manu --- metadata-extraction/metadata.ipynb | 285 +++++++++++++++++++++++++++-- 1 file changed, 267 insertions(+), 18 deletions(-) diff --git a/metadata-extraction/metadata.ipynb b/metadata-extraction/metadata.ipynb index 8e0b45c..8713c89 100644 --- a/metadata-extraction/metadata.ipynb +++ b/metadata-extraction/metadata.ipynb @@ -2,31 +2,71 @@ "cells": [ { "cell_type": "code", - "execution_count": 43, + "execution_count": 27, + "id": "f44453c8-922b-419a-b12d-780e55420fa9", + "metadata": {}, + "outputs": [], + "source": [ + "### Setup\n", + "\n", + "## For OpenGVLab/InternVL2_5-78B\n", + "# pip install lmdeploy timm flash-attn\n", + "\n", + "# lmdeploy serve api_server OpenGVLab/InternVL2_5-78B --backend turbomind --server-port 23333 --dtype bfloat16 --tp 4\n", + "\n", + "\n", + "## For Qwen2-VL\n", + "# pip install git+https://github.com/huggingface/transformers@21fac7abba2a37fae86106f87fcf9974fd1e3830\n", + "# pip install accelerate\n", + "# pip install qwen-vl-utils\n", + "# pip install 'vllm==0.6.1' --extra-index-url https://download.pytorch.org/whl/cu121\n", + "# pip install flash-attn\n", + "\n", + "# python -m vllm.entrypoints.openai.api_server --served-model-name Qwen2-VL-72B-Instruct --model Qwen/Qwen2-VL-72B-Instruct --tensor-parallel-size 4\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, "id": "ef51c8e0-1c2a-4bd9-86a5-ef179ace4db0", "metadata": {}, "outputs": [], "source": [ "from openai import OpenAI\n", + "import re\n", "\n", "client = OpenAI(\n", - " base_url=\"http://localhost:8000/v1\",\n", + " base_url=\"http://localhost:23333/v1\",\n", + " # base_url=\"http://localhost:8000/v1\",\n", " # base_url=\"http://0.tcp.ap.ngrok.io:17717/v1\",\n", " api_key=\"token-abc123\",\n", - ")" + ")\n", + "\n", + "# model = \"Qwen2-VL-7B-Instruct\"\n", + "# model = \"Qwen2-VL-72B-Instruct\"\n", + "# model = \"OpenGVLab/InternVL2_5-8B\"\n", + "model = \"OpenGVLab/InternVL2_5-78B\"" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "0641448a-fbe0-4f6b-8a28-d817340d3784", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The image depicts a wooden boardwalk path leading through a lush, green field of tall grass and vegetation. The sky above is clear and blue, with a few scattered clouds. The horizon is lined with a distant view of trees and possibly some farm structures, adding to the serene, natural landscape. The overall scene conveys a sense of tranquility and openness.\n" + ] + } + ], "source": [ "image_url = \"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg\"\n", "\n", "response = client.chat.completions.create(\n", - " model=\"Qwen2-VL-7B-Instruct\",\n", + " model=model,\n", " messages=[\n", " {\n", " \"role\": \"user\",\n", @@ -44,7 +84,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 8, "id": "934a24e5-6c14-4002-a79e-1f623811a1c8", "metadata": {}, "outputs": [], @@ -63,7 +103,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 9, "id": "c78aed07-40d1-4b92-9c51-c7e96102b2a4", "metadata": {}, "outputs": [ @@ -94,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 10, "id": "ed454cf5-ecda-4696-87d3-93c466a9e490", "metadata": {}, "outputs": [ @@ -102,10 +142,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "{Explanation}\n", - "The image contains a series of hexagons with numbers inside them, arranged in a pattern. This type of image is often used in IQ tests or puzzles where the goal is to identify a pattern or rule that governs the sequence of numbers and then use that rule to determine the missing number.\n", + "Explanation:\n", + "The image contains a sequence of numbers arranged in hexagonal shapes. The numbers appear to follow a pattern or logic, which is typical of IQ questions designed to test numerical reasoning and pattern recognition.\n", "\n", - "{Category}\n", + "Category:\n", "IQ question\n" ] } @@ -118,12 +158,15 @@ "\n", "Answer in this format:\n", "\n", + "Explanation:\n", "{Explanation}\n", + "\n", + "Category:\n", "{Category}\n", "\"\"\"\n", "\n", "response = client.chat.completions.create(\n", - " model=\"Qwen2-VL-72B-Instruct\",\n", + " model=model,\n", " messages=[{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": question},\n", " {\"type\": \"image_url\", \"image_url\": {\"url\": image_url}},], }],\n", " max_tokens=300,\n", @@ -135,7 +178,37 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 11, + "id": "7915a669-8e6d-4c0f-b637-cb59dbce0d76", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Path to your image\n", + "image_path = \"/media/shayekh/Data/_learn_/agents/vl-exams/data/chem.png\"\n", + "\n", + "# Getting the base64 string\n", + "base64_image = encode_image(image_path)\n", + "\n", + "img = mpimg.imread(image_path)\n", + "plt.imshow(img)\n", + "\n", + "image_url = f\"data:image/jpeg;base64,{base64_image}\"" + ] + }, + { + "cell_type": "code", + "execution_count": 11, "id": "c52b965f", "metadata": {}, "outputs": [ @@ -143,7 +216,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Chemical reactions\n" + "chemical reactions\n" ] } ], @@ -157,7 +230,7 @@ "\"\"\"\n", "\n", "response = client.chat.completions.create(\n", - " model=\"Qwen2-VL-72B-Instruct\",\n", + " model=model,\n", " messages=[{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": question},\n", " {\"type\": \"image_url\", \"image_url\": {\"url\": image_url}},], }],\n", " max_tokens=300,\n", @@ -215,16 +288,192 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "674d80b8-16be-40be-83cd-edc7889d66e2", "metadata": {}, "outputs": [], + "source": [ + "PROMPT_IMAGE_TYPE = '''\n", + "You are an image classifier assistant. Your task is to take a look at an image and classify it by its main category using the following rubric:\n", + "\n", + "'graph': Images showing data plotted on axes (line graphs, bar charts, scatter plots, pie charts, flowcharts, organizational charts, etc.).\n", + "'table': Structured data arranged in rows and columns.\n", + "'diagram': Technical or schematic drawings illustrating processes, structures, or concepts.\n", + "'scientific formula': Mathematical equations, chemical formulas, mathematical diagrams, or related.\n", + "'text': Images containing primarily textual information.\n", + "'figure': Illustrations, drawings, or visual representations of objects, patterns, or symbols.\n", + "'map': Geographical or spatial representations.\n", + "'photo': Photographic images of real-world scenes, objects, or people.\n", + "\n", + "If categories overlap for the image, choose which's best representative of it.\n", + "\n", + "Answer in this format:\n", + "\n", + "Explanation:\n", + "{Explanation}\n", + "\n", + "Category:\n", + "{Category}\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "cba5b479-bb8c-41f9-a42a-11ea990b06de", + "metadata": {}, + "outputs": [], + "source": [ + "PROMPT_IMAGE_USEFUL = '''\n", + "You are an advanced image utility assessment assistant. Your role is to evaluate whether an image is essential or useful for answering a given question by following these precise guidelines:\n", + "\n", + "- Essential Image Criteria:\n", + " - The question DIRECTLY references or requires specific visual information from the image.\n", + " - Answering the question would be impossible without examining the image.\n", + " - The question asks about the content, details, or specifics visible in the image.\n", + "\n", + "- Useful Image Criteria:\n", + " - The image provides supplementary or supporting information.\n", + " - The question can be answered comprehensively without the image.\n", + " - The image offers additional context or insights but is not critical to the core answer.\n", + "\n", + "Output Format:\n", + " - If the image is essential: output \"essential\".\n", + " - If the image is useful: output \"useful\".\n", + "\n", + "Answer in this format:\n", + "\n", + "Explanation:\n", + "{{Explanation}}\n", + "\n", + "Utility:\n", + "{{essential or useful}}\n", + "\n", + "Question: {}\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "cc7f7336-a933-418c-9dfb-e0ce24ad7bcc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Explanation:\n", + "The image shows a chemical reaction scheme, which includes chemical structures and reaction conditions. This type of image is typically used to illustrate chemical processes or reactions in scientific literature.\n", + "\n", + "Category:\n", + "diagram\n", + "\n", + "Explanation: The image shows a chemical reaction scheme, which includes chemical structures and reaction conditions. This type of image is typically used to illustrate chemical processes or reactions in scientific literature.\n", + "Category: diagram\n" + ] + } + ], + "source": [ + "# question = \"What’s in this image?\"\n", + "question = PROMPT_IMAGE_TYPE\n", + "\n", + "response = client.chat.completions.create(\n", + " model=model,\n", + " messages=[{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": question},\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": image_url}},], }],\n", + " max_tokens=300,\n", + " temperature=0.0,\n", + ")\n", + "\n", + "output = response.choices[0].message.content\n", + "print(output)\n", + "\n", + "exp_pattern = r\"Explanation:\\s*(.*?)(?=Category:|$)\"\n", + " \n", + "# Pattern to match utility section\n", + "cat_pattern = r\"Category:\\s*(.*?)(?=\\n|$)\"\n", + " \n", + "# Find matches\n", + "exp_match = re.search(exp_pattern, output, re.DOTALL)\n", + "cat_match = re.search(cat_pattern, output, re.DOTALL)\n", + " \n", + "# Extract and clean the matches\n", + "explanation = exp_match.group(1).strip() if exp_match else None\n", + "category = cat_match.group(1).strip() if cat_match else None\n", + "\n", + "print()\n", + "print(\"Explanation:\", explanation)\n", + "print(\"Category:\", category)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "3be75d02-8b4e-420a-9ed5-19b3364ba456", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Explanation:\n", + "The image shows a chemical reaction involving a compound with a benzene ring and a chloroethyl group. The reaction uses Zn-Hg and concentrated HCl. The input to the reaction is the compound with the chloroethyl group attached to the benzene ring.\n", + "\n", + "Utility:\n", + "essential\n", + "\n", + "Explanation: The image shows a chemical reaction involving a compound with a benzene ring and a chloroethyl group. The reaction uses Zn-Hg and concentrated HCl. The input to the reaction is the compound with the chloroethyl group attached to the benzene ring.\n", + "Utility: essential\n" + ] + } + ], + "source": [ + "# question = \"What’s in this image?\"\n", + "question = PROMPT_IMAGE_USEFUL\n", + "query = \"What is the input to the reaction?\"\n", + "\n", + "response = client.chat.completions.create(\n", + " model=model,\n", + " messages=[{\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": question.format(query)},\n", + " {\"type\": \"image_url\", \"image_url\": {\"url\": image_url}},], }],\n", + " max_tokens=300,\n", + " temperature=0.0,\n", + ")\n", + "\n", + "output = response.choices[0].message.content\n", + "print(output)\n", + "\n", + "exp_pattern = r\"Explanation:\\s*(.*?)(?=Utility:|$)\"\n", + " \n", + "# Pattern to match utility section\n", + "cat_pattern = r\"Utility:\\s*(.*?)(?=\\n|$)\"\n", + " \n", + "# Find matches\n", + "exp_match = re.search(exp_pattern, output, re.DOTALL)\n", + "cat_match = re.search(cat_pattern, output, re.DOTALL)\n", + " \n", + "# Extract and clean the matches\n", + "explanation = exp_match.group(1).strip() if exp_match else None\n", + "category = cat_match.group(1).strip() if cat_match else None\n", + "\n", + "print()\n", + "print(\"Explanation:\", explanation)\n", + "print(\"Utility:\", category)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b14c7362-10a5-49b8-9661-f5925888c300", + "metadata": {}, + "outputs": [], "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "llm", "language": "python", "name": "python3" }, From aab33300cd71b208425c4e3f39cc45fdac48a2d8 Mon Sep 17 00:00:00 2001 From: Shayekh Islam Date: Sat, 25 Jan 2025 21:10:13 +0600 Subject: [PATCH 04/10] Add batched inference --- metadata-extraction/vlm_metadata.py | 180 ++++++++++++++++++++++++++++ 1 file changed, 180 insertions(+) create mode 100644 metadata-extraction/vlm_metadata.py diff --git a/metadata-extraction/vlm_metadata.py b/metadata-extraction/vlm_metadata.py new file mode 100644 index 0000000..bd9fb24 --- /dev/null +++ b/metadata-extraction/vlm_metadata.py @@ -0,0 +1,180 @@ +import os +from openai import OpenAI +import re +import time +import json +import base64 +import backoff +import argparse + + +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode("utf-8") + + +def backoff_hdlr(details): + print( + "Backing off {wait:0.1f} seconds after {tries} tries " + "calling function {target}".format(**details) + ) + + +@backoff.on_exception(backoff.expo, Exception, on_backoff=backoff_hdlr) +def predict(client, model, prmopt, image_url, max_tokens=500, temperature=0.0): + response = client.chat.completions.create( + model=model, + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": prmopt}, + {"type": "image_url", "image_url": {"url": image_url}}, + ], + } + ], + max_tokens=max_tokens, + temperature=temperature, + ) + return response.choices[0].message.content + + +def extract_class(text, class_list): + cat_pattern = r"(" + "|".join(re.escape(cat) for cat in class_list) + r")" + matches = re.findall(cat_pattern, text, re.IGNORECASE) + return matches[-1] if matches else None + + +PROMPT_IMAGE_TYPE = """ +You are an image classifier assistant. Your task is to take a look at an image and classify it by its main category using the following rubric: + +'graph': Images showing data plotted on axes (line graphs, bar charts, scatter plots, pie charts, flowcharts, organizational charts, etc.). +'table': Structured data arranged in rows and columns. +'diagram': Technical or schematic drawings illustrating processes, structures, or concepts. +'scientific formula': Mathematical equations, chemical formulas, mathematical diagrams, or related. +'text': Images containing primarily textual information. +'figure': Illustrations, drawings, or visual representations of objects, patterns, or symbols. +'map': Geographical or spatial representations. +'photo': Photographic images of real-world scenes, objects, or people. + +If categories overlap for the image, choose which's best representative of it. + +Answer in this format: + +Explanation: +{Explanation} + +Category: +{Category} +""" + +PROMPT_IMAGE_USEFUL = """ +You are an advanced image utility assessment assistant. Your role is to evaluate whether an image is essential or useful for answering a given question by following these precise guidelines: + +- Essential Image Criteria: + - The question DIRECTLY references or requires specific visual information from the image. + - Answering the question would be impossible without examining the image. + - The question asks about the content, details, or specifics visible in the image. + +- Useful Image Criteria: + - The image provides supplementary or supporting information. + - The question can be answered comprehensively without the image. + - The image offers additional context or insights but is not critical to the core answer. + +Output Format: + - If the image is essential: output "essential". + - If the image is useful: output "useful". + +Answer in this format: + +Explanation: +{{Explanation}} + +Utility: +{{essential or useful}} + + +Given Question: {} +""" + + +def extract_meatadata(client, model, query, image_path): + print("Extracting metadata for query:", query, "\nand image:", image_path) + print("-" * 70) + base64_image = encode_image(image_path) + image_url = f"data:image/png;base64,{base64_image}" + + question = PROMPT_IMAGE_TYPE + output = predict(client, model, question, image_url) + print(output) + print("-" * 70) + classes = [ + "graph", + "table", + "diagram", + "scientific formula", + "text", + "figure", + "map", + "photo", + ] + category = extract_class(output, classes) + print("Category >>", category) + print("-" * 70) + + question = PROMPT_IMAGE_USEFUL + output = predict(client, model, question.format(query), image_url) + print(output) + print("-" * 70) + classes = ["essential", "useful"] + utility = extract_class(output, classes) + print("Utility >>", utility) + print("=" * 70) + + return category, utility + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument( + "--api_base_url", type=str, default="https://openrouter.ai/api/v1" + ) + parser.add_argument("--api_key", type=str, required=True) + parser.add_argument( + "--model", type=str, default="meta-llama/llama-3.2-90b-vision-instruct:free" + ) + parser.add_argument("--input_json", type=str, required=True) + args = parser.parse_args() + + output_json = args.input_json.replace(".json", "_with_metadata.json") + + client = OpenAI( + base_url=args.api_base_url, + api_key=args.api_key, + ) + + with open(args.input_json, "r", encoding="utf-8") as json_file: + dataset = json.load(json_file) + + json_dir = os.path.dirname(args.input_json) + output_dataset = [] + + for data in dataset: + image_path = data["image_png"] + query = data["question"] + if not image_path: + output_dataset.append(data) + continue + + image_path = os.path.join(json_dir, "images", image_path) + category, utility = extract_meatadata(client, args.model, query, image_path) + data["image_type"] = category + data["image_information"] = utility + output_dataset.append(data) + + with open(output_json, "w", encoding="utf-8") as json_file: + json.dump(output_dataset, json_file, ensure_ascii=False, indent=2) + + +if __name__ == "__main__": + main() From 2c47cc159298c762bb8e9d7c54ea1c6abe5e2f62 Mon Sep 17 00:00:00 2001 From: Shayekh Islam Date: Sat, 25 Jan 2025 21:14:39 +0600 Subject: [PATCH 05/10] Create README.md --- metadata-extraction/README.md | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) create mode 100644 metadata-extraction/README.md diff --git a/metadata-extraction/README.md b/metadata-extraction/README.md new file mode 100644 index 0000000..20277f5 --- /dev/null +++ b/metadata-extraction/README.md @@ -0,0 +1,19 @@ +## Usage + +```bash +python vlm_metadata_open.py \ + --api_base_url https://openrouter.ai/api/v1 \ + --api_key $API_KEY \ + --model meta-llama/llama-3.2-90b-vision-instruct:free \ + --input_json dataset.json + +# Output saved at dataset_with_metadata.json +``` + + + +The API Key can be derived from [https://openrouter.ai/](https://openrouter.ai/) which has two free vision models with Rate Limits: +- `meta-llama/llama-3.2-11b-vision-instruct:free` +- `meta-llama/llama-3.2-90b-vision-instruct:free` + +It is advisable to use the bigger model and verify manually after inference. From 11bd7c1ab098cf385fb90ceb8a01de3d1b06a614 Mon Sep 17 00:00:00 2001 From: Shayekh Islam Date: Sat, 25 Jan 2025 21:15:15 +0600 Subject: [PATCH 06/10] Add requirements --- metadata-extraction/requirements.txt | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 metadata-extraction/requirements.txt diff --git a/metadata-extraction/requirements.txt b/metadata-extraction/requirements.txt new file mode 100644 index 0000000..71dda49 --- /dev/null +++ b/metadata-extraction/requirements.txt @@ -0,0 +1,2 @@ +openai +backoff From f60a8e10870eb106ed84542964e0cbfe238df78c Mon Sep 17 00:00:00 2001 From: Shayekh Islam Date: Sat, 25 Jan 2025 21:18:52 +0600 Subject: [PATCH 07/10] Add tqdm --- metadata-extraction/vlm_metadata.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/metadata-extraction/vlm_metadata.py b/metadata-extraction/vlm_metadata.py index bd9fb24..82ecb8e 100644 --- a/metadata-extraction/vlm_metadata.py +++ b/metadata-extraction/vlm_metadata.py @@ -6,6 +6,7 @@ import base64 import backoff import argparse +import tqdm def encode_image(image_path): @@ -159,7 +160,7 @@ def main(): json_dir = os.path.dirname(args.input_json) output_dataset = [] - for data in dataset: + for data in tqdm.tqdm(dataset): image_path = data["image_png"] query = data["question"] if not image_path: From 9d8236b7de3fd7b0fda6f7b82261ba0424fc2d92 Mon Sep 17 00:00:00 2001 From: Shayekh Islam Date: Sat, 25 Jan 2025 21:19:09 +0600 Subject: [PATCH 08/10] Update requirements.txt --- metadata-extraction/requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/metadata-extraction/requirements.txt b/metadata-extraction/requirements.txt index 71dda49..e326011 100644 --- a/metadata-extraction/requirements.txt +++ b/metadata-extraction/requirements.txt @@ -1,2 +1,3 @@ openai backoff +tqdm From da18bbdfa4d3782db1dc038ad73fdf3b81654a39 Mon Sep 17 00:00:00 2001 From: Shayekh Islam Date: Sat, 25 Jan 2025 21:19:32 +0600 Subject: [PATCH 09/10] Delete metadata-extraction/.gitkeep --- metadata-extraction/.gitkeep | 1 - 1 file changed, 1 deletion(-) delete mode 100644 metadata-extraction/.gitkeep diff --git a/metadata-extraction/.gitkeep b/metadata-extraction/.gitkeep deleted file mode 100644 index 8b13789..0000000 --- a/metadata-extraction/.gitkeep +++ /dev/null @@ -1 +0,0 @@ - From 01b1352538e993cecb1b6f39d2002ea7634c6143 Mon Sep 17 00:00:00 2001 From: Shayekh Islam Date: Sun, 26 Jan 2025 15:26:44 +0600 Subject: [PATCH 10/10] Update meta filename --- metadata-extraction/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata-extraction/README.md b/metadata-extraction/README.md index 20277f5..57553fb 100644 --- a/metadata-extraction/README.md +++ b/metadata-extraction/README.md @@ -1,7 +1,7 @@ ## Usage ```bash -python vlm_metadata_open.py \ +python vlm_metadata.py \ --api_base_url https://openrouter.ai/api/v1 \ --api_key $API_KEY \ --model meta-llama/llama-3.2-90b-vision-instruct:free \