LangChain_Document_Query_Bot.ipynb

{
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  {
   "cell_type": "markdown",
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   "source": [
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Hamas-ur-Rehman/docs-query-chat-bot/blob/main/LangChain_Document_Query_Bot.ipynb)\n",
    "\n",
    "\n",
    "## LangChain \n",
    "\n",
    "LangChain is a powerful framework built around large language models (LLMs), which allows us to create a wide range of natural language processing (NLP) applications. With LangChain, we can create chatbots, generative question-answering systems, summarization models, and much more.\n",
    "\n",
    "The core idea behind LangChain is that we can \"chain\" together different components to create more advanced use cases around LLMs. For example, we might use one component to preprocess text data, another to fine-tune a pre-trained LLM on a specific task, and another to generate responses or summaries based on the input.\n",
    "\n",
    "One of the key benefits of LangChain is its flexibility. It allows us to experiment with different combinations of components and adjust their parameters to optimize performance on specific tasks. Moreover, since it's built around LLMs, we can easily integrate it with other NLP libraries, such as Hugging Face Transformers.\n",
    "\n",
    "In summary, LangChain is a powerful tool for building advanced NLP applications using LLMs. With its flexible and modular architecture, we can easily create custom pipelines to solve a wide range of NLP tasks.\n",
    "\n",
    "[LangChain DOCS](https://python.langchain.com/en/latest/)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b3dcec4",
   "metadata": {},
   "source": [
    "### AIM\n",
    "This notebook aims to guide you to create your own Chatbot that will be able to query a document give answers based on that document and also give sources of how it came about that answer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4898735",
   "metadata": {},
   "source": [
    "### 1. Initial setup \n",
    "we will need to install the following packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5bce9124",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install langchain\n",
    "!pip install openai\n",
    "!pip install unstructured\n",
    "!pip install unstructured[local-inference]\n",
    "!pip install pinecone-client\n",
    "!pip install tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10d8eab4",
   "metadata": {},
   "source": [
    "we will need tesseract as well as langchain document loader requires this you need to download this package and complete its setup the following are the links\n",
    "\n",
    "- [Download 64bit](https://digi.bib.uni-mannheim.de/tesseract/tesseract-ocr-w64-setup-5.3.0.20221222.exe)\n",
    "- [Download 32bit](https://digi.bib.uni-mannheim.de/tesseract/tesseract-ocr-w32-setup-5.3.0.20221222.exe)\n",
    "- [Tesseract WIKI](https://github.com/UB-Mannheim/tesseract/wiki)\n",
    "\n",
    "After the installation specify the correct path similar to the one given below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "375b2c03",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pytesseract\n",
    "pytesseract.pytesseract.tesseract_cmd = 'C:\\\\Program Files\\\\Tesseract-OCR\\\\tesseract.exe'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d710534",
   "metadata": {},
   "source": [
    "### 2. Loading our Document\n",
    "In this example we will be loading a PDF document but you can load other types of files as well see the [DOCS](https://python.langchain.com/en/latest/modules/document_loaders/how_to_guides.html)\n",
    "\n",
    "PDF documents can be either loaded locally or from a url depending on your requirements comment the code\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7c2dc1a5",
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    {
     "name": "stderr",
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     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You have 1 document(s) in your data\n",
      "There are 67821 characters in your document\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from langchain.document_loaders import UnstructuredPDFLoader, OnlinePDFLoader\n",
    "loader = UnstructuredPDFLoader(\"HydrogenFuel.pdf\")\n",
    "# loader = OnlinePDFLoader(\"https://wolfpaulus.com/wp-content/uploads/2017/05/field-guide-to-data-science.pdf\")\n",
    "\n",
    "data = loader.load()\n",
    "print (f'You have {len(data)} document(s) in your data')\n",
    "print (f'There are {len(data[0].page_content)} characters in your document')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f7b76c9",
   "metadata": {},
   "source": [
    "### 3. Chunk your data up into smaller documents\n",
    "Although GPT models are very powerful, they do have some limitations when it comes to processing large amounts of data. One of the main limitations is related to the size of the model and its memory constraints. GPT models consist of multiple layers of neural networks that require a significant amount of memory to store all the parameters. This means that the larger the model, the more memory it needs to process the data. When we give a large amount of data to a GPT model, it can quickly run out of memory, leading to errors or crashes.\n",
    "\n",
    "To overcome these limitations, it's often necessary to preprocess the data and divide it into smaller batches that the GPT model can handle that is what the below cell will do it will split data into 1000 characters chunk size you can play around with this number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fc759af9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now you have 92 documents\n"
     ]
    }
   ],
   "source": [
    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
    "texts = text_splitter.split_documents(data)\n",
    "print (f'Now you have {len(texts)} documents')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "17c6b745",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Document(page_content='National Renewable Energy Laboratory\\n\\nDenver West Parkway Golden, CO\\n\\n-\\n\\n-\\n\\n• www.nrel.gov\\n\\nThis report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications.\\n\\nThis work was authored in part by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Fuel Cell Technologies Office. The views expressed herein do not necessarily represent the views of the DOE or the U.S. Government.\\n\\nThis report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications.\\n\\nCover Photo by Vanessa Arjona: NREL 60272.\\n\\nAcknowledgments', lookup_str='', metadata={'source': 'HydrogenFuel.pdf'}, lookup_index=0)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to see a chuck of our document we loaded do the following\n",
    "texts[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "873de916",
   "metadata": {},
   "source": [
    "### 4. Create embeddings of your documents to get ready for semantic search\n",
    "In natural language processing, embeddings are used to represent words and text data in a numerical form that can be used as input to machine learning models.\n",
    "\n",
    "An embedding is a learned representation of a word or phrase that captures its meaning and context in a given language. This is usually achieved through unsupervised learning techniques, such as word2vec or GloVe, which use large amounts of text data to learn a dense vector representation for each word in the vocabulary. The resulting embeddings can then be used as input to various NLP tasks, such as text classification or machine translation.\n",
    "\n",
    "For our task we will call on embeddings API provided by OPEN AI it supports upto **1536** embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5da0f82a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
    "OPENAI_API_KEY= \"...YOUR...API...KEY...\"\n",
    "\n",
    "embeddings = OpenAIEmbeddings(openai_api_key=OPENAI_API_KEY)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "554d4b60",
   "metadata": {},
   "source": [
    "### 5. Uploading our embeddings to a database\n",
    "We will be using [Pinecone](https://www.pinecone.io/)\n",
    "\n",
    "Pinecone is a managed database designed for vector data. It is specifically optimized for storing and querying high-dimensional vector data, such as embeddings generated by natural language processing (NLP) models or image processing models."
   ]
  },
  {
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o7+zmf3/yR7IzM3jirl/w1N9/zamTx7Cmrh4l98aEEEKIXsc0TWqWLqG1tQXTNJM3Ere7yZj83cA0DIztrkUMI3kz0jRNNm6sZ+2qlZgygl8I0UP0k0+iX3xxr/uoKVMwrr/+gM+hysr2fP66ugNuVwghxNFB6S2rYOykctz5H6shz/NxXZdIeipXXnw278yez+q6evpXlqI0zF20nJ1PlZoSxvM8orH4DoGf1hAMWASDATo6u0lNCeP7Pt3ROADBoEUwEKSzqxvHcQkGbPqUF2MYBqvXbqArGsW2LBzHJRwKUllejNaaVWs3kHAcPN8nFAzSt7wYz/NZtW4DiYSDZZmbz6XpjkZBKQKmSSgcpLMrSsJxCAUD9Cnb9VxCCCGE6H183ye/sJAJk08iJSUFb1+rXW5mmiZtbW28/fp02ltbDlu5bu17/+qRdqqrq/d73+nTp/fIOYUQ+6G5Ge/yyyGx67RFW6jBgzFuvx0O8iaDd9550Nm5223m449DdvZBtS+EEKL36rGUyjQNTDNALJ7gjnuf2HpXfPac5PD0nUf1AZtH67GbkX0QTzjE4g6Goejo6kaxbb943CEWS2AYBpZl4noeS2tWb+3HlvDNti0c12Xx8lVbtyX7ZeBueVwly4S3lBfvfK6E6xJvdzCMZLuuu/tzCSGEEKL3MQyDhg0bmPnmG4yZcAKRjAx839/lBuQWShkoQ9G4aRPvv/sObS3NMqpPCNFj9OzZew36yMvDuPXWgw76AFRJCXrp0t33Y+1alIR9QghxzOrxpEoptUOwt7uQb4s9zde3pZ0tGaCxmzLf7QNCpdQOcwHuvO/utu3p8YM5lxBCCCF6H8M0aaiv5/WXX6Bq4GDKK/sSTklJfr4rBRpA4/s+XZ0d1NYsZ8WyZcTjMQn6hBA9a2/vKYFAMujrqRCuuBj2EPbtacSfEEKIY4MMSxNCCCHEMc8wDKLdUea8P5vlS5eQm5dPZnY2oVAYjSba3U1LUxNNmxro7u7eWgkghBA9SY0YkQz8djOlgHHjjagBA3ruZIHAnrdJ2CeEEMc0CfuEEEII8YmgVHLRje6uLlZ1rIAVNeit20ChUIYho/mEEIdOXh7GTTfh33bbtsDPNDGuvRY1dWrPnmtvYd9+zl8qhBDi6CRhnxBCCCE+UbaEfkIIcSSoqVMxhw5FT58OgQBq0iQoKen5E2Vl7XGT3rSJPU+otAfNzck5B00zOUIxL++guieEEOLQkbBPCCGEEEIIIQ6nkhLUFVcc2nPEYnvcpMLhj9WUfvpp/Lvu2lb+a5oYt9yCmjLlYHoohBDiEJGwTwghhBBCCCGONW1te962v4uARKP4t92WHIW4Pc/D//nPMauqoLDwwPsohBDikNhj2Oc47uHsh+gpH3s8vhBCCCGEEOKYU1+/5237UYKrly7F/9GP9txOIoF+5ZVDP0JRCCHEx7bHsO+Bv/zqcPZD9AANJDwfQwI/IYQQQgghPtna2/e4SeXm7vVQ/eST+Hfeue+FPPa2CIgQQogjZo9hX/X4wYezH6KHtMc0AVPve0chhBBCCCHEsamtDb1mzZ6376mMt74e/1e/Qs+bt+9zmCZqwoQD658QQohDSubsO4b4GhKOk/xBCCGEEEedkB080l0QQhwD9PTpex6Vl5EBOy/Q4XnJ0Xz33AOJxH6dw7j+eigvP8ieCiGEOBQk7BNCCCGEEEKIY4h+9dU9blOTJu24b00N+ve/Ry9atH+NZ2RgfPvbqLFjD6aLQgghDiEJ+4QQQgghhBDiWFFfv9fgTlVXb/1ZP/cc/u2373tuvi3HDh2Kccst+7XAhxBCiCNHwj4hhBBCCHHQfvb7vzPm+KEMq6qkID8HwzCOdJeE+ETSs2fveWNGBmrECAD8++5D33//frerLr0U4+qrwTQPtotCCCGA7u5uHMdBqQNfZTUSiez2cQn7hBBCiKOOzM169Djwi7ejzRlnn01BqiJfgj4hjig9c+Yet6nTTkPX1qLvuGP/FuEAKdsVQoij0EGHffJ14/D45HxVEEIIsSdaawyl8Xwfx5VP4N7OthSmYeBrdVB3bI8WWZmZFGbbmBL0CXHkJBJ7DfH022+jn3xyv5tT1dXJhTgyMnqid0IIIQ6Tgwr7OmMu0bjTU30RexEK2KSFLD4B3xWEEELsgaF8Fq2Be14K0tRuyGdCL6Y1ZKf7XHV6gqF9NJpjv+xNKSUj+oQ40hIJiEb3vL2+fv/aycvDuPFG1IQJPdMvIYQQh9UBh32Op+mOxggoFxnfd6gpojGXgJ1G0JJvdkII8Umktcb3PR54JcTsZRZBOxkoid5JKaitNzAMzc8+H8MwjU/E6D40Uo4gxJGUlnbQTaipUzGuvbZH2hJCCHFkHHDY52tQaBRs/rc4lAw0vnypE0KITyytNfG4Q1N7iIAFpgyg6vVsC5raFPG4QyhsfTLCPiHEEadGjNj/+fi2Z5oYN92Emjq15zslhBDisJKvCkIIIcRRwvd9ZDT90UUpH8/3j3Q3hBCfIOrCCz/+QXl5GL/+tQR9QgjRS2itsSyLcDiMPoByHgn7hBBCCCEOFclmhRCHmZo0CTVlyv7vP3Uq5l13oUaMOIS9EkIIsb+01qSmplJTU8Pdd99NRkbGxw78Dno13t5AKQPQ+3zyyfIZLXMcCSGEEHuhN8+7tkPRqQbHT5YPG4DrgTLBVMn91eb/enpzifHmz9rtK1e3TkehYcs6Dnqn/Xb4faf537Y/j7+lje36uv12xwd7y5oYelt7ygTtJfsJyb5uOUYIIY4Vxi23oJ98Ev+hh6Czc9cdMjJQU6agPvUp1ODBh7+DQgghdktrTVpaGkuXLuWOO+6goaGBSCTCZZddRltb235PC9N7wz5lkJKSgqFA+x6xWHy3ZTBKKdxEDB8D29770/FcFwwDwzA2fynYcmWvCKWkYhkAmkQ8RsLx9tI1k3DQJBpNyA17IYQQxxxzc0i29WNXg2vCmdXwmTFgA2tXwu3/AXs4/KIaPD8Zvk2fAY/Nhx9+EXLtZCjXvBJ+/DiEBsKvLoEPpsM/a+HWz4GlkoGh58Pc96BoKOSHk8e1bEwe1xiFC6bCqAjcNQt+cgVsXALf+Q9cfjlkzYenNsGtV4LhJduc/i7c/QZcfh5MHZQMJ3Ucpr8DJ54M9z4Muh98cTjc+gDURZP9EEKIY4Jpoi65BHPaNPTixVBTk3w8Lw/y8lBVVRAIHNk+CiGE2IHWmvT0dBYtWsSdd95JbW0tgUCAp556CqUUl1566X4Hfr0y7FOGidNWx91/eYJ1bV2k5vXh/E+fT3l2Cq7nY5om4KOx6K6bzeWXfI2qc7/Pr75/LkbCxfM9fF9jmCba91DKJBRw+P1138ac8gWu++ww2rviBAwTH4Vy2njy3jtYvLoD3whx0jkXcsKQCtAajUZ7Pso0MQAfRWf9Uu59u5bPnHc6YaUl8BNCCHFs0NAZhRuuhPhy+PMsiITA8WDsBLipGu5+EhbG4PpPw9UT4EkTcoDr74DRZ8A1p8ArNdC3AJ55EWauBqcbWk24fARkWDB5PDz1EXz3XjjtHLjIgm89AW4q/PYMePI5+HAdJGLQvfneW3YmlGdBMAiludBvAkycC1k5UJwCwQCUZcD37oJwIXz7XFhZB3k5EG+F218CQ8PKesg4Hv7nKvBC8OyzsK4LLHOvr4wQQhydwmHUqFEwatSR7okQQoh9CIVCzJo1i7vuuoslS5aQlpZGPB6nq6uL+++/n2g0yqWXXorjOPtsq9eGfbFNNfzllw8w7vPnEZz/Mp9//g3++rc/MjgvwPp1a/BCWZTmZzJv4Qe4mVVc8dkT8bvaWVu3kUhuMZmpJi0NTQQiEdx4O4kUk9aGTdgdUWY9dxcPLYFbv3QV4YCJjjdy792/Im/Ul+gTXsd3rvsWt993B30zTby4T3pONvGWjTTHFOVlJfiJbtZu2ISnVbKWSWp/hBBCHO00OCG4+HQ4ZRC4BdDhwDMfJUfdTT4OliyB+2YlR/7dtB6KwmAMgUAanF8NuUUwczF0JsDVcPZkmDwWXnkNlnfDKYPhuRkwfjKMKYb7F8CwLohasHoD2MWQAM6bAqfE4aUZsGRDskTX98H1k1W7XR3wWh1ccjKs1+Do5OOOA+sbYcFyGDUBqotgUxz6HAffvAga6+AHj8I9T8MZ34H2RfDwe2DYR/alF0IIIYQQQmuNYRiMGzeOU045ZYdtruti2/t/0dorwz5IPsmcovHc/KOf0zfUxc1XTuXJ1z+gRc3m1r/8m7idw/9872aee/CffLRgOU888RozEy/z8PNzyaicwF///D3u/tLNTPzJT1n0zM9p6T+NjLQ0Yu01/OYfP+O1ZSFOnXgq54w/jriGlMx8Tpt2CWMz1vHGs79l8cznuOme+xhccSpXXD6U237yG+q6DS667lY+N9Ln3bmLuU4rFDKyTwghxLFB+dDaDlEH3G5o6do8JZ6C9e0wpRLK02C9B//1WShphDuawElAdi6MLoIf/we6PDB9+PPj8PIy8D0YNhb6pkFwNKSH4eQR8PgiMFSyfdNMzp9neXD7YzBjRfJ+WsCExE6zeJgKnnkDbrwYxgdh7nblxgkHcjNhUAa8G4U0C+bMh289BpaRfG5nDge7GzKKYVQJvLsheR5xdIm7GsfTeL5ciwkh9sxSCtNQJDx/29yxQgixEwUELEVK4MitYxuPxxk+fDhjxozZ7Xbf9+nu7j4yZbyWZWFZ25rVWhOPxw+wNY3v+yg7heysFNY1reSBhx6kbOIFZHcv5c2FG/jmjV+mxZjFTV8/hznP+vx3//H88q/3Mr++FS+WwDQDuIk4Mccj4juk5A/lyiu+gFM/gAsm9Kcr7mAYJk5rPb+6+StEUsKcdv3XOaFPFz93c/jmr7/B89+4lOMu+D53Turk7Fvv4qTyy2ht7wDDJBAwSTgepmngeT6WaZDYjyGVQgghRK+iwErAK29AZQHEa+G5ZZAeBFvBc2/DuH5wx3/DJheKLfjB4+CPBh2FX/0dPvd1+NpZUPMoGAG44iw4bTJ0tEBaObw3E25+AgaPhz+cB/1fAF/tGLSZQbjqHDirE2Jt8PtnoCGeDAJtMxkMhkPQtBH+PR++fTosANCQngnfuwoyckBtgv8shM+NgOHHwS+uSZbxvlcLV1TDnY9Azij41sXwlT9Dkydz9h1NEq6mPerha5UM++QLvBBiD1zfJyvVxPXBlzcLIcSeaEhsXsEtbBvs5zoYPUopheM4ey3TPSILdNi2zauvvsrvf/97HMdBa825557Ltddeu8NKuVuewL60N6/gxaf/zZub5vHIe5rbvzKZ/7x+L52ZOfQpGkT+kMEYvI/rgaU7eeLOO0ifcApmvIPFq+oxws08/59/sO79ufSruhA3kUB7GstQrF0wm9UNZ1GQlYbrO5CWx2//9jyn9E9BmyFWvXE3Kj+f/KwMCvrk8sqHb/B0d5T09ALSQybKNOluXMtbKxvpW5FO7bpW+ldmMn9NKxNHjsRWvtxlFkIIcXRRkBqGh54mGZ4Fkw8bBnRtgu/dCcPKIaigdh2saYHIXLilJlmK+8gT8H5GcvTcrX9PHm8qSMTBWQD1TYANKxfAzV3Q5sOcGfBjA9wgeJ3ww7shLZA8zolDzE3OIf/q2/CBDQ1NcPM90BaDl9+EhpXQvAE2JuCbf4WgBb4DS9ZAQwKeegVmZSSDQq2hoxt+eg/MXwH2OlhUBJ6ZXNhDHD3aYz6erwhaJmavrVMRQhxpCmiKJkgJKCzjyI3WEUIcHTrjHu0xH9tU2Ef5XeAevTwKBAI89NBDjBgxgmnTptHQ0MDPfvYzHnnkkc2LaiR9+ctf5vLLLyeRSOy2Ha19AhnFTJxcwHMP/530/Ep++of/Y1xVX8p//DNu/92f+Sh9AF/vV0SovYSJExLYgQzOvexMnv6og0unnUHjxjYu/O8r+cNj7zHulEvoU1GAmjABVZbBkLzJDHn2T62CeWsAACAASURBVCxY00hRTjpYaUyacia5YYXjemgvTii3nDMnxvFjDudc90PW/e7XvLbc4qff+y6ZHW/j+tDVUMvLLyzggjMqmT59GVnn9OU/b6xk9MhR2GrzxEJ7oZTCNE1c1wWSoyI9z9shGBVCCCEON7X1X9sYBsS7YOaC5MebaYBtQXcjvL8pGaY1b4S3NyR/nrN028eg2q4Ny0jOrTdr8eYALgqbdPJnXPhwyY7HWVbyXOvqYY1OHj97afJxOuGdRcl2TQXvLtzWX8tMjhhctQ5WrN3uuSlAJ4932+Ctlm0jBsXRI+H5hExbpk4WQuwXeZ8QQuyPtKBJS3cCXx/987sofYDJUtzVtHd0ElDe1ovy1NRULrvsMs444wyuvvpq4vE4dXV1bNy4EUiO/HvzzTd5/vnnefbZZ4lGo3vpmUEwGMRQyVJg33VIuB6GaROwLcDHSSTwMbBMheO4WIEglkFyLgbPxVMGtmniax/f9dCGAb6HxiAYsEkk4nieDygCgQCuE986j4MyTAKmQdxxkj8HbAzDxO9cww1nnMeHg87nxTu+T5rhkHCT5buu52ObBomEs89RfUop2traaGpqYsCAAQAsWrSIoqIi0tLSdgn8XG2QmpZO2N7ztxFfQ3NngoApn2ZCCHGs8X2faHcX/31XhFUNAVk99ijgelCem+C3X2onNTUVYz9GlURSgj1y7urq6v3ed/r06T1yzlVNCSqyA4clOF3TkiDdtjEkpRVC7IUCmmMJSjLto36UjhDi8Fjb4pCfbhG0Dv17Rnd3N47j7Hdp7u5EIpHdPt7jhQ9KKVzXJZFIEI/HKSgooKioCIBgMEh9fT0vvPDCvhvSPvHYrmGg7znEvO1LgD2czRNzu4k47g57e3jblwt7W2p0fKLR7ffUJBI7ziuofY+47237Obb5WJXBt+75B3ZGLrYbJbY5lEtsbjvu7V8dkGmaNDY2csMNN3DrrbfS1dXFb37zG+68804ikQjefrYjhBDik0VGJxxd9M5DJEXP0PssoBBCCCGE+MQ65LOceJ63NbgyDGNryepRS1kUVvQB38M7iOWcXNdl4MCBfO973+Omm27Ctm1++9vfUl5evl/zGQohhPjkMQxFZqpDzcYAMvVQ7+f6kJHiYMooTCGEEEIIcRgdkrDPsiyCweAupajBYBDbtvdvTjqlMBT4vt7lZ8tQuF5yOJ9pmWjPT66spBSWaeC5ydJiwzBR+FtDOcuyUGhc1wPDQGm964pMSmFbJgrwPB/P93fpmu/7WIaB5x/c6LtEIsFJJ53Eb3/7WwKBAGPGjCEWix1Um0IIIY5NSils2+bT45rp6uqmqcPEkEFjvZavITvb48LxMQJW5KDKM4QQQgghhPg4ejzs01ozb948XnjhhV0W4LBtm9mzZ++7EaVwY910RDXZ2Wm4sS5aYj7ZGel4iU5qNsWoKM7BxGX1ivVE8vPJTLXxElFW1LZRVFFAyDRoadxI1EqjODMFfIeVS2tp9QMMOa6MWEszrp1KZmpgW/ioFH6sm/mr1tOZ0BQVF1CRn7F5Xr8tuyi6mhtZ3eYyoKIA4yCLSGKxGOPHj0drLUGfEEKIPVJKYZg2IwemUpzVQHNz65HuktiH7KxM8gvyMayAhH1CCCGEEOKw6dGwL5FIcOWVV/LHP/6RhQsX7nYfpRRf/OIX91rOaxgG7fWreb8Wzj9vLK0bVvDO8nbOP208dQsW8NirtVx+9cX0TY/yzCP/IuukqXz+lCGsWvwuf/3Hcr5x8xWkpTi8+/LLrA1V8dXPTGTJW++yPJZGrrmBF1u6qHRbSOT1Z/TAXOIJjWUpMEzaN9TyzoINjBlcyYL3ZtE8aDSjj8sjHouDYRIKwoKZs9mQeRyDKwvRB1HKu4WU7QohhNgfSimCgTDFJWUUFpUc6e6IfTAMhWnIUr9CCCGEEOLw6tGwz3EcqqurOf300/e6n+u6+wy4LEtRW1PD0694dNevpTu9FMONsrLR4+xTBrF8RR19RmZR3qeCtqb1NHdWsmx1C1UVBYCibcMaQn2GMyTeytqmKAqfaDRG3sA+lEciqJYwrhXj+adfJRqKcOIJo8hLU2igvE85J4wZRkthkBdmL6c0Ncq77y/FtdKYNKYP7y+rIzSkTCaGFkIIcVgppTZPZyET9gkhhBBCCCF2r8fLeF3X7ZFFOHwfMrOy6FtRTJfqoiZu0NVYx4eL6yjvk8vqTQ1MGjoBM5xJZZ7J3Dkf0WVnUZzjoAxYtmgZCzcFSYs30hSuY9qYsaQ2NFG/eiVzFgY5b9pEjM6NLPAhELQ2zweYPLfWGs/zsWwby3R5/633WG8UkNqyhgUbS5kyoopAVR9CtoHjKhTJm/aOKyvoCiGEEEIIIYQQQogjp9cODfA9n/SMTAb2K6VfSTYBw2Xx4jWMnDiWyROOZ2iOZuGqJjxXM6CqjDdfm0l+30pszyPR0cjKNpuzTjqe008ei7uhhudefos1bR75BTk4sSiO6+FjUtKvlNa6VSxa34ptGKB9mhqbWVO3gZmzF5Jd0pei/Cwy00KUlZfTNz+deMLFjXUya+4Sli1dxvxlK5j+3iISGEihjhBCCCGEEEIIIYQ4Ug7JarwHS/s+qblFDDE1iWgMK5LH0EoHnDj9ikrIDFsEJ4ykOQ7Zo/qTkZXHWWefQr+SHFr1AFItm5FjhtG/OAdDZ5DwTTIiaaxcXsuChEX1qWMJKw8dCGP7DvmVAxnTJ5uE45CWV0LB2uW8/9EKSsoGMGJAKToWIT5vKTErm8KsNFIGDcBKD7OhMUbQNlDKICWMBH1CCCGEEEIIIYQQ4ohSeutStB9P3NW0d3QSUN4hmbtOKQPDAM/zkz9vrpX1fQ+tQRlGcliiSu5jWxau52IYJr7vYxhq6yq6pmmitcY0TUDjuR7+5qdtWRZKJcuPtU6e17JNlAbf93E9D5TCtiwUPo7joUwTtI+htqzFqzGUOqRlvK42SE1LJ2zvOVL0NTR3JgiYMpugEEIIcTSKpAR7pJ3q6ur93nf69Ok9cs5VTQkqsgOHZT2SNc0J0gI2pix+ckwzLTAVaA9cHzSgTLAVeB54gGUm99mer8HTYClw3G3HBQzAh/jmS3bDSo58cDw4sG9EordTQHMsQUmmjb3zHxQhhNiNtS0O+ekWQevQv2d0d3fjOE5yXu4DFIlEdvt4rxzZB6C1j+dt9/NOH8Da99k+WnM2zxPobT7I2+6ALY/5vr/LeXaeX1BrHyex035a77CgiN7S3nY9kNn6hBBCCCGE6BmWDU/9Hh7bBOPOgitGQlEEFvwb7lgHp38KLgrA3S/DIyvBJhnYuTYcVwTnpsFDzXDrDVDUCXVvwI3vgH0c3HUBpAVhzkPw6zj88HyoygRv168KQgiA5kW89upLvDSnAUsptO/i5vSh/1mX8MWCOp6/7VHeMRXa1yhlklE6hlMvPIfjc43kDaCmhcx4820+mLuGBjub40ZWM3XKMErSLWATC559gRemLyZt/FTOPOckKsJAvJnls57nb8+uoLBsAud9+VP0C+zYLb1xLq++8TZzP1pPU2ohQ8ecxtQTB5Ab2jxbmdPMqnnv8OaMuSxvckmpHMHkyVOYMCAHE4e2Fe/xzhMfwme/xpkVW2Y40/juat762f1sOP9GLhwawdo6+VkzH/31YV5evYFGBUqDE48ysPpipp4+kRK7k4Yls5nx+nssWtMJpQMYd8JpnDYyl44Fz/HTB94hGLAwrQAWLgnHw/c9Tv7STxi68Xc8sGYiF50xjn4ZAUg0sPyDt3nrzY9Y2Q6R/qM4ecpkRvfNwCBB86J3eOnvr7G631imXTGNwengdtfx4TP38HLpF/nuCYWH40+G6MV6bdgnhBBCCCGE+IRS0NkOY/LgjTlwciUUZ4Ibh9ZuiHlgeNDSAn2r4NpzITMKrgkpDmyYAw01UNcChSZsWAsDM+CDGqgDqhTU1EJuf0gxj/STFaKX86N0tGRSPGAyF1x8HOlRB8+0CaaH6K6P4roGVZ++jvP62zhOJ7VvPsi/ny+l7IpR5Na/yd2PLCX/xFP57InZpKpOamc+w7+e3cS4k09mbKFHoiuDlFAYP9BEXTNUlIDTvYlo60fk5vWjra2bHYboaHDWvMrfHl1F5Rnn8flTUwnqjcx5+gkeeKqaaWdNpH/aBt598nWWm6UMv+irnJ9p0LZqDjNmPcfSDSdxxcll4MaJdXSyy8giXBLt7USdnR/3ibU0kj7iLM6YNIiSFHA9Hzs1k4hqYskrM5i51qT/p77A1DyT9vWLmP3Ww/xh7Rlcc85UvnPzJLxEEx/95688b53PdecNIg1IybJor+ugPRrH1SYkVvP6I6+zNrOKcZdN4aKIoqVmFq/OeI6ahpO5ZEIBfjxKWsAntzCVt+asZ/CUYtAeie4OOuJy50L04gU6hBBCCCGEEJ9cCtD9YXIrrK2DZidZsmuozdtUskQ3kg79c6F/GQwoguJ8yCiBwQlYVZ/cZ/V6GD4OxnZDYxRUAyxIwNA+yVF+UsYrxF4o0DpISqSA0pQImTk55GRGSDMNNBrDsknPLyAjM5vcvAIidpRmDQGjiY9efo1o/zGMG9SHotwsIjlljKg+if6bllM3dwWtCRMwKCkqJxRKZ8X6BgC627vo3FjGgAElaK23mx9fo6ln/itv4A47kYkDSsjLySKSO5App51AaPH7LFy+iVUfvsZsx6Rw6DBGlueQHsmidPhoxvcPElrxBh80OQQsA2Wo3cy9r1CGscdpKYIZeRSWZJORlU1Obi6RsEXXqlnMbmjAGDSaSf3ySI9kU1I1jNFDSwnPfJoP6oNkZ+eQm5tFeshAhSLk5OSQk5ND2AClFEoZmJamce7zzFIRKocNZkhpDumRbMpHTWBCqYO//B3mtzvYhkJFMsjNz6JPzRxqPTA2tyEzXAiQkX1CCCGEEEKIXkgBLT5cXAX3LIOK3YzCCwdh1my4ZhloF3IK4NNnwahcOC4MSzeCToeaLjh5COiXYU0DjO6CpQpOLIeQLWGfEHtnEQitY/HMu/nF8gB+IoWCygmcdfl4sg0Tp6uV2ff9gmXhAIE+wxlbejb/NWYQkegqli3vpOziCjK3/8ub0o+qvi/zQud61rWmYeJj5eRT6qThrmiia2waXa0x6ulPebHH7Dnb90Wj2+tZVtNN3ymVRALbki1VegKf+a9h2AUmtfdtJCU8itKi7O2OzaC4NJ/01R+wqLaJwblG8sbBx3glzECI9TMe5k8fhghoh1jeGM48dzRFa5pQ7emU9yneFh4aEYqPP5NLyjowc5IP+b6ffL/RGl+z0yqfCsNqYf2HTWQVHE9JXsZ227Ior8hmfsMalqxpocwER4exI9mUls3npY9a+cogSfnENgcc9hkKNGrrAhXiUFL4qF0mH+5pGnB9JRc7QohDzjT0IX9PE0IIcfRzE1B0Ihz3D1jfADnsWJrkONCvEi6thrQYWCEozgC7GyqKYfo6iGfD+wXwxRSwi+CFDbC+HdoKoDIFgiq5qIcQYk88PCeL4n6jOW1qBSkxsFOyycHH1T5mMIXKSWcwKW0t777+Ou+nXMN/TQijOhJE45Bv2zuFWjahNEUimiDueNho/GA2uQUxutxa6puLcdwYzX1Kmahqd00bnASxhEFBwN5hm1YhsotDQAeq2ycYDhDY6QaBZdso26crlsDbzZi+ffFdh8wBExh+fF8KgppEIJuSApvGmS6mGyIc2L5NhRlMJ7skfb/bVypBokMTLgpg7dz3oA2mR3fMwQ8pfE9jRrIpSakk68WPqBtYtTWhEeKAwz7bVKSEw0TjjvyBOsQ0ipSQReAQrwbj+opwwCJkS3W3EOLQ0RraYy6+9pIrrQshhBB7okFnwdQyeLQGqhohaG4bauD5kJ0FowdCTgJcnXxMe9CnDPxZsLAU0kshWwPlMK8BJjXDkFLIsJKT7Ash9kbj+ymkZ1cysKKSbevGuzgaDMsmq2I4g/v2Jcdr455XXmPJ+GsYmZVJQZZPQ0cUdNp27XWyqdYjKy2DnLQQrb6H54fJKQ7iO10sX1lDabSW0orRWG0rdkobFKRnkJ/psrE9iqlSttvSxIePP0N71STSCyy6dCddMR/St32/jba347bZlAzPILibBTz3+Ur4HuHcMvoNqKJguwVDuvMCJJo7aelwIMfe+rolWpYx98VZNI66gLOq9hX6abSXQUZfaHY7iCV8SNnW9+7mdlQ0RFFehEC7j0aDlU5GViV9857n9aV5DJS76WKzgyrjTQuZpIVMifoOg8PxV1ajCNtS4y+EOMQUBC2DWELCPiGEEPvmujBwPASfg4WboDETth/wYhgQAGwbLA2uB/EAZJRC3+dh5moYVpUcEZhZCuGVMHcDDJsIQVtqlITYPxrtuziwXdi3dRO+54OKUDB8FP2fvp+3VzQxYlwRoyYP5J6ZbzKv8CzGl4cAaF3wMjM7sygf3peyDINGH7SvSc0qpKuxiXUfrScjvYgBY4O483b+G6pQgVKOn9Sf+6a/yvzCsxmelwzEGj98nhcWtjNsUIRRE8ey8oVlLJy3nLJTB5CtgPalvDe/jnXhkZzbP4Je4YMysEPmDu0bm09pBsLbrcSb3AagDAvLZgeFA4ZQsuZ9Vs6ew7ricZQGAHcjC9+ZwUvLAlSflrpfr7Hnhuk7bjyZT9cwb0E5BSf2IQLQPJ+3FrTSGhnG5Io09By9+f8JkJ5F2aAC3n15HqtyzcOSHYjer0fm7JM/TEIIIYQQQoielIhCdwJ8F6xymJIBdy2HJWay7Fb54Pswey78qBuCLjgKyivg6pMhnAn9Q/CvZfCV05OhnlkGw+vglRj8byEELZmvT4h98l0S8TixhLdLOK59l0Q0SmLzirZ+KIei/A5mvL+IDSMnUzxmGp+KzWbV3Gd5fEY3MdMmaNr0OWEyw4cUYlKHE0+Q8Bx0Si5ZdBJbW8vCMZ9mQshlrZMgGvV3WDBXqVSKxp3L6Yn3WfnuUyxt6yIaSCGFAMPOOJux/fOIhCJMGW+zYM0iXnv0QxKuj7YDhDOHMGnISMoNTavv09WwjqVP3UdLBDzfxg6O4PRLAjjd3Sx76X7u/SCAoXxcZyinX1mE62vqZj3Lo+tnkW6Bk4hTOmIK40eOZPx4g+DiFcz896O4MQcnECBsl3LCp8cxNndzaqg1brybqO/u8Fr6bpRo3MX1PMyyEzl9wgcs2DCXlx55h7gPyrIJFRzPCUOHUYRPg5MgEY1heYBKI7N4CMcZd/HKMhe/WFbjFWD+8Ic//OGR7oToGRqIJjzMA6zC9bQiJWDKyD4hxCHneBrX82VknxA7Cdo9s3bafffdt9/7XnXVVT1yztaoR2b48FxHtEU9AqaJIRctxy4NoVTo0xf6ZINpQVYEsoth2HEwphQywhDOgqJ8yA1DZhpkpkNhLvTLT67cm5ULeRUwoR+kKCAIeUEoHAJjKyFVZq85pikg6npEQiamXHQcOCNAKJJLSUUhRTmhHUfWmkFScgopqiwjJ6xA2YSzs8jPK6OkKINwIJ3C0lxSDA3YBDJyKa06nlEDy8gKABjY4Qi5Zfnk5qSTageI5OZRUNWPolQTw04lp6iIytJswtv9fVWBCMWl2QTx0SpAMCOPioHHM2ZIKVkBBVikFeSTGwlg+GAE0sgq7c/QoUMYUBACNMoKkZKdR3ZuOimp6aSnZ5CRUUBpZQ6R9Dyy8tNJS08nPT2NtLQCSitzycrMJSs/k/RIOmlpyW25hcXk5GQQyc6lICcFy9dgp5CRX0bVkBGM7JfFloGAShkEUrMpKu9Hn7zUra+lEUgjO78flQUZhK0A6UX55KRaKB+MUDo55VWMGDaQvrnJ2mFlh0kvKKG4oojMIJiBFLLzU4nkDWV4VR/KItvVGIuPpT3mkxo0sA7De4bjOPi+jzqI65lgcJextgAoreVe1rHC19DcmSBgHtj/0oRvkJNqS9gnhDjkuhM+sYSzU2mEECKSsvsLto+rurp6v/edPn16j5xzVVOCiuzAYbmOWNOcIC1gY8pFyzHNDoLpQ9wF7YNhJ0fimRriDiR0sgw3YOxYiut7EE0ABtgBCCiIxcDb0m4IAhpiCXYYLSSOPQpojiUoybSxZS6znrHLCrIiSV6YY8XaFof8dIvgIV4zAaC7uxvHcQ4q7ItEIrt9vGduHwshhBBCCCFED3Li4Gz5RSXLeaPutu0KSCQgsbuDFaB3amNLu7FdHxNC7CfJs/ZAXhjRu8iYCiGEEEIIIYQQQgghjhES9gkhhBBCCCGEEEIIcYw44DJez4fOuLfvHUWPOVyTRAohhBBCCCGEEOL/2bvv+DjuOv/jr+/MbC/qkuUm97g7Tuw4OE4npBcgCYRLclxCCUe4C/cDQrk74I4O4Y7jCgQIvQQIgYDTnZj0ase9W5ItW71LW6Z9f3/MSpbcm5LY+Twfj32sdnZ2Zna1u9p96/P9foQ4MR112GcaUBQzD72ieMtxPXiztH1RCqyT9GmqNfufBF37oE7eot3mHbV0m0VMG1P6Rh+KEEIIIYQQQgjxpiMNOsRxozU8/DLUN0M8+sZPUWoYQae2iiK4bFEQUB+rlvrN/O7Py3lxcwueCjFnznSuvertTKlMHPvGj4jHAz/7GfVFp/IP18wfXLpy2V9YWhfjzlsvHGzvfiyef+h3fO3+9UTDwVuF6zhMP/9ibpmS56dP9fH5f7qCY8lSW7a8wg8eb+fTH7n4sLfzwsN/ZkVsAV+8afER7Mnhl//9Q5xZb+f95089mkMVQgghhBBCCCFOCBL2iePmte3Q1w83nH2AirM3yCMrYMUWWHjKsW2nYc3zfPq/H2LJJZfwhWumYHpZXnziCT7zpbv54j9/iJnHGvhplzVb6pk+bfJhBHUmZy+Zx6+/vpQLFs9gdmUUp3snP7z/Fd55++3HJegDaG9pYfbi8/jwRTOCQ9SaSDKF6qhj3oyiww50O3fvpMMqYnLl8LbgTrafnY0dHEkhqGmaWEec3Br0NrfRPTp7hLcTQgghhBBCCCFOLMcU9m2p3clDy54jn7dRb6Z05ySitSYUsnj7uYuYfcqkN/pwDqq9B7IOvLotmNPxzcA0oD8Ptc3HGPbZvfzwVw+x+N1/w4cvOmUwzBz//r8F5/s8+MwGZlw9j96cSyJs0JvzKE7Fwbdpau3BjMSoKN4TBrq5flq6skRiccqK4uB7tO/cyI9+9wIf/UAlk6tSGECmp5vOrEtpaSmx0PDXWOnk+bz3jBf4/q+e4Lt3XMbS3/2Z2KwlvH16OeDR0tKJtiJUlaYA8Jw8/XmfVDKGQpPpy2CEo0RMf9/jLlCGQWVFFePHVA7bt5ecyuVjFQbQn8lghiM4mX4iyTRhbBpbe4gl0xQnwtjZLE8sfZTmUady80VzSUb3RJFKKcxCcJfNZtBWFMvup63fpbKiBGvgLmuX5tYuoskiwqHhNYC5vh7a+xyKS4tJhE2cXD99eYOSohgAvd09RFJxDDNEPHKSjukWQgghhBBCCCEKjjrs6+jq4SN3fp3V67dgGCfv/GBvBr7v89s/L+N3d3+VMdUVb/ThHFA0BBOqYXwl+DoI2kwD0KAJAkC/MM+cZRSG+apg+UiFg4YCMwThYyx1622pZUdHER8455RhVYtKGVz3gQ+RdzWZpm185YcPUJYowRgznQ9fOJ7v3XM/qxr7MU2Tt114IR+8fAENa1/mmz9+kOaMQSQS5tJrruH6U+N863u/5Yk1nWTcJP/5+etZu+xhfvrIajpzmvLyCj7wd9cxd1zRkKNSXH7tVTz2rz/ip/cr/romw6e/cA5edyPf+b/f8GJ9L8rQTJ+/iE/+3cX0bHyF7zy4k8/f+V5iuPz6R7+gZPFVXDmuly/f/QBl8SKsMTP4+A1LBiv2lIKWxkY216ZAawwrxLgxVWx/4XF+tsriqx+9iHvv/QWbe6Povhw3Xn8Jy//4B56t7cEwI/ztzdeSalnD3UtXkk9uZ9SoKt61cOw+j68FPPrQfTxYDxU9zazc0cmU2Wfwr/94NYn+Zr79Xz/n2bo+xtaMpybUS2hScIRrnlvGjx54meaMprSkhJtvvp7Z8VY+e9df+Id//kdq+jbx1V+t5M47biCZjmHEpJhZCCGEEEIIIcTJ7ai/+Ta1tLN5Wz2JeOx4Ho84gNodu6lvaHxTh31KQU0F1FQFl20HmruCny0TxpbvGd7b2LGnkUd1ybGHcQejNbR0Hds2nHwWraLEI/tepwyTaBiyCrZt28W8j1zH9YvGcPd//Ac7w1P5+1tmku9o4H9/+gdmTp9EuLGVs658D+89dwqvLX+Iu5Y+yiVLbueTf3cpm3+9iW//8/XYdWv57m9e4pL3XsXU8hivLX+EL/9oKT/9/PuIDgkbQ8Vj+eBVc/jgN/7ATXfcwbSSMPff/Xu2GBO5+z+uJJRt4Stf/h6/eWYqV5Yr8rYzeFvbtnF8jWHA1i27OP3263j3wvHDhuZahsFTjz9O/aoX8X2faFEZX/j0hzG0S94O1nF7utjdOYbv3nkL3euX83ydyXe+dife7nWs7dKcefEVvPvVHSTPuYxrFuwb9A3wc/1s2ZLj/33hNj4d6eIjX7yHtY3vwH76z6zxxnDPd64llGnmi//2HdKTQtjttXz3F8s54/Ired/YIja9tJzv/M993H3XB3nPope45577mWB1cd6lV1EUNlGGxvPfJJ1jhBBCCCGEEEKIEXJMZS4ydPf1Yyj1xne8OAwDFXqOB9+8Dx5fGVTxAbz3PLj1Yvj1cvjxI0G1n+vB4pnwr38DkREK/I5H1WA8XYZFF01dHqUlw4eC7lz9HL/eCLcvqSBdPYZz5k/A9DrZsq2F3dEQP/p1HcowKB4ziq6eLJedfTY9Dy/jn/71QTw7S1c+hu0qkiETpRRh02DHzu1s78nz9LKneNLXmIZifGmYfjeooBxqzsIFnDF1NecuOSlDogAAIABJREFUmAFkWLeuk8s/9D6KoiZEq7n6/Kl8b/02Lj8nNeQ1qzANAwVo36do9FjOnluzTxMTx/N55w038PHLZw0uUwrW+Xte/54KMXfBqRTFLBIz53PulC187vPfJlE+mg/ceDWGaWAqhWEYGAd5Dru+wZyFC5lYmQRfU1qWIO9k2LqtiQsu/FtK4yGIj+WKt03neeXTvquBXc1ZXnj2OV7wNYZhMGpUOd0ZzXnvvoY/3fY51s27ko/OCdLn6gmTKa9KH/gAhBBCnDBOkI9FQgghhBBvCBnTJkZE3obV2yGbC6r68i6srQuuW1MLHX1BaOX5sLoWsvmRC/uOh2h5DYumhbj7l4/xjY9eQrjwDcPrb+UHP3+EcZfeTMj0SMUjRCwAi0gyzk03v58rZ5WglM+v7vkV48rjPPz737J0R5KP33YTRb113PnDpzBMghJEwyAMxGNxJtRM5X++cguGht6617h7eTOJ/bxiNQbh8EBKFyKZgvrdHTCrDICGXR1Upqei8PB8n6AWN8fmxnYWmAZaa9KJgePez/a1Pmiwry2TWDqY58+xDa695W95T76PZx97kC/+4E/c++83o4DQoco3DUWsJDGwU7QGhUk8HqKuqR0YB0BtQxtujUEkFqNifA3f/srHSGmwWzbxv/dvoCiu6KythXQ5ud3b2dnjMi5tcd41Vx58/0IIIU4YYdPAB2QiGSGEEEIcL1prjCNqH/nmNaJhn+8fvKRKFSqLxMnJUIX/vKvg54GqLtMYfp1pvLm69+6XCnHj+/+Gb/znz/j4vzdw+swaTDfDq6+spuiUs7jp3Mk4u9eSyzv4PhBO8u63n863/vf/aDxvAf27t/Bqo8lF703QrKC/t4sXX36Ntu0baGrr4Nk1u7h0VITMjm38/KEVXH/+AmY/8BL/9I1fMX9SES/99Xmmvv1dRPb3OGlNLmfjaw2EuPLqJXzuB7/Ga11EpL+JZa/18+l/nk2J2UBP44Pc9fOHiOd2s6vD4UytQfvBce9n057r4Lj7XuN7Lnkn+IrlOA6+6wHQVreWL/ziJRYvnkdPYy+jK2owUIRNj0cffZIp1Vcxb3zxnkP3PfK2C4DrOuQdb+Aa8rZN3jO54KKz+Nh/3MddfY0Um308v7WZceNcSifP4bTKJ/j0v/+UhTOqWPX885SedjGh3la+8/PHufa228i/upRv/+QhvnH7Ffz2O/9N34y38+FLZhz980AIIcSbQsRSZGwPLBPrTf8hQgghhBBvdr7WdGY8IiFznxFvJ6IRDfuSiTihkIXjuPu9Ppe3DxEIajxPY5gHDgU9x8FTJmHrJPhtnERMA8IWZG0IWcH8fWZh9KtpQs4BH/C8oKLPOgGapEZLx/Av//pxVr78Kk+vacC1otxwy/tZNGMshgI7XcmVFy4mYQIoFlx0Jf9WUc3SF7YTrZ7ON29ZQkU8zNvffR1eYjnrOvJc+Z4bmDdzJV12nmj1dD56yXy2d/aho6V88tMf5cFHnmFdYz9X3XgzF50xbb+vAyNaxBVXXEB1Mrh28sLz+WaqnD89tYF8rIIv/cs7mVadAKbyub9/J396egvV887gU3NPI1SdwEhZXHnh24jv5yU07dRFlEZH7bO8atJ0Li90tj3zzMXoqqCKcNy8s/iUjrD0+e0kJszj85e8DQVceO2FtDy+how9/L0gPWoiV10Y3HbmvIUUWaODK1SUy89fwqTiENWTl3DX/0vwh6c2EZ88nU98dDLNVIAR4/Z/uo3HH3uaV+u7ueCa67lsySw669Yz+4JLOGtKJf7oq+h85DW68i7T5swiM6rkKH7zQggh3myK4ybgkXM8+j0fmZJVCHEglmHQm/Ppt32Zv1kIcUBKQTxkUJowMA82/9QJQmmtj+odb/3mWi593z/utxOv72uK00m+9Onb6M/mWLJw7t67xdea2z/zDVas3UTI2n/mqEyTsnSSns5u8uw7N4vneUw76xwm5bfw0MtNWCdx4GfbDr/74VdZvGDvx3IPX0NHn03YPLo/YrZvUJYIHXWV3bProLoUJlUHl59bD89vCII/reEdp8OsGtjcAH95kaATrwcLT4HzDny3jll9M7T1wOlTj982B142ew9v1XrfKsX9rTtsmdZopYL587QG1OA2Bl+ehesPdjz7HsuBjlHvs739HfehBEd64OMZej8OdIx773voNvfe/v62uWc5w+7TsO0M7Pdo7qQYMRnbJ2c7nMRv20IclfT+OkEdhfPPP/+w133yySePyz7r2m1qSsOv21utBrSPTN4nhDgkBSfJwDwhxEhSvL5fGTOZDI7jHFM/jHR6//PSj0hln1JBELerqRXf12zcWr/POr7WZHJ5DhRh+J5HsrKauz71fr7xyS/zYs4hYpr4PoRDZjDkz/YYPfc0zsl28MdnduBrC6U1yjTB90AZ+D5YlsJxPQxD4aMImQrH8YKhpIaJdTLUaL4JLZ4JbxsyYnLg+TttLHx8zL7LjyetYfOuoAtvUyf0ZIIqQ19DNAwzx0MyevTbP9CLcX+L97fusGVDQqq91z3cF/0h93HIdQ9rN8Nvc9yOZ//b3HvtI7o/+7tegj4hhDipKEDJRzghxGGST4JCiLeSERvG62tNV3cvlmWxu7lt2HWqcL1tO4f4/q0wFZSNGc+/v+8KvL48Vq6J//rpQyy68jrOmZCm7JRxNCzPUXPqGbz/ojmgXR598HFOOe/t1L/yAlPmzWXtiyuYv+QcSmIWzetf5o+rernlfRcSUw7PPf4Yy9e3yDDg48zXcO9fYdlKMIzgP+/XnRNU98HI5i6+hh8/Cr9YBnlnT8c+TRACAsydCF+8CapkVKcQQgghhBBCCCFOIiOScGkN4VCI+XNOYdzoSq66+JxhpysvPocr33EOpSVp/EPMm+D7PtF0MWdNr+DhPz1A5cz5nDtlAe+9aCa/+MV9vFzfhhUu5h8+8B7imU764xO47T1n8Nq6Fj73L3cwyu2ges4lXDyrjPrWfq668SouOm0qp0+uYMumWhq7bfYzElkco2we/vw8vLY96L776lZ4+JU9YdtI2tUG9z0FOXtPMxAKDUJMIzi9ugUeWzHyxyKEEEIIIYQQQgjxehqxYbyZXI6Hlj1HUTrJ2o3b9l4DrTW7m1oxDzGE1lAKw1C01DVRX9+G7TokQykMJ8P23a2Mb+1lgpWgLGqwfFMtW71eesr62Lkzj5UqIdvUTnxUES2N21i9egOJcB8N3bt56JkIZ5x7NhMTmm/97hmISOJ3PGkNWkHIDJpv+JrXLVTt6oOsU6go1MG+b74Qlr0GDW3B8RgKWrtfn+MR4mThA7q9HZ59FpJJjAsukCExQgghhBBCCPEmMyJhn9aQiMe49soLaevo4ppLzt3vOhu31rGrqZXwAVIgXZjXz/FcsraLMgxs26OxZS0rm+fzb//vVkqnjGfjUw+ybNlK3r14AadEK2hfs5yb330m937/J8w+/3zWPfYMzoxFXHxOKZNLulmxKsmpM8aTsx3wgnkDD9ZsQBwd7YPrBT87Hhy08fJxpNSeYcKmCfhQXQaxyJBKP2QKNyEOhw/oXA69di389a+ol16Cujqcj3wEBYQP0HhFCCGEEEIIIcQbY4Qq+xSZTJZf3vcwkUiYl1as22uFIMirb2jEMs39bsMwTXLtzXzia98nn7V56bt19Bmab3zj++T6+nj+P/+XqvI0ub6/kLUz9OV2sLmqnLCfp7Gjl3RqM12d3aSefBWnv5dX1myiNBmmo62N7pxHQ2MdyZBPS1sHRsSSoO84i0fgsjOCobsDQ2cvOu31C9gGGq++51wYXwGzJ0BRArr74TfLg+YdRyOXy2OGw4QO0opbex451ycWCe1/Bc9lS10zYyeOJnYYLb3zeRsjFDroPvc6Amprd1MyuoriyIhNy7lffT2tNPfFmDw6eVjrazvP5oYOJk+qHrkJREfIzh2NxErLKE+GR3hPDlu3t1I9bjSJAzyljjddOPl1dfD00/D006jt2yGfB9NERSL0x2JY+TyWZWEe4H1cCCGEEEIIIcTrb8SG8eYdlwceeQrQ7G9aPgWEQhbGQcZ2at+nq6cPpRTZXgfDUPT09KIMA+wsOxsyhbnYDEylaW5sHrzc2dmDMkx6urtRykB3d9LbBcpQhEyDrvY2OjUYhiEVXiPAMOCmC+G9haJOpcB6HdMcVejIsfSl4OePXA4Pvgx1zZDJBeHjkfLzvfxh6UuMnz2PJaeUH3A9p7uDVxuzLJk1/gBreGze1kBZzWhihzwOzbZN20hMmkzNEYRKtdsbMMsrKI4c9k2Oi97uVjY3lRx22Kdcmw3bdlNzAoZ9DfW7KQknX4ewz2Vz7W7So/YO+1waGtqpHFvF8TiCgYBPd3aiX3kFli+HVatQPT3Bi8g0IRwGrfFNkx7LIuk46NDrlEAKIYQQQgghhDgsI/b9WgHh8LF/CRwIAwcCucFwUClMc2hKN/yyUoXbDd5+eKpysJBRHB9KwXF4ChwxPeS8qw88Lwj42nugrRvCVqE77xE2C9m9o5HKcaPpa20kN60cs6eDF7Y3gqeIJEtYML0aA1CGSSwapr25mY0N7TiupmL0GGaMivLKqq3ktEGfpwgpza76era0ZEkVFzOjKsraXf1Mr45R3+4xZ3IlAKFQmLDy2LppKzu6XcaNr2bqqCK0288r61s5bc541q3dSHL0RCpVD42ZCOEQbN64hc2+yalzphLPd7FqewuOEWb+rAn0NTawpTnHpMnV5Dta2dFlU1lVyYxxZRgKmnfsoM0sYlZ1lNVbWpg4tpR16+vo9RUzpk0i6bfT0Jtm9nh4dUM3c2eOJaSC15llGtjZbl5a00BWG8yZOZmU081Lm1sgFGLejCmkjQzPr65Dachj7FNZ29qwiy0tPeRdn/LSFB1t3VSMHcekEsVLaxtwDZPZp0wmYreztrYLR7uUV49harnJy2t2klcm06fUMCZlsmL1VvpME8MzmD1zMv3NO9jakiVdXMzcKdUMfRtx8xleWVNLn6+YMrGG6pjNqxua8JUmnCrl9KmVbNu4hV390NmTp3zwfURTv3U7WzockpZm9KQa3JYm4mPGEe/rYIcdYmqJyWubd5PDYt6MibidTWxoyFBSbJBXaU6fWsGmjfVU1YyjOGbiu1lWrtpOvwm9NpjaYc3qrTRlNaPHjGJ8JMuDz27kbedEiHa3UtflUFZRyrxJo4bdp8N5vfiOg16/Pgj4XngB1dgYvHAsC/YT5vmGgdfTg969G11ZiZ9Kofaq7pP/oQghhBBCCCHEG0MSL3HSiYX3NAMxVNCQ47dPQ2tX0DAEgqYdsSOpetMOm3Z2Me2USZSoHHVtOXS2j63NeU6bMZ6Whp10F+Yk9HIZdrX30dvVye6sxcKpVWyv3cm27dvotko5Y8ZoLMOgv7OZJ1c2kE4n2LZxM7X9FkZPI39+fjtl5UWDu25v66Czr4/N9R1UVhRRFA3CF2VGyXS1srO1ix07m6lv7GLHzlaMsIXveJRWj2NizGPLjgaee3Uj/aE4fm87z6xvoK29AyeaJpZt5enNnZSmY7y6YgONGQeAZDzEttomOts76Oh32LphM6piNIunlrNi9Vbae7tp7MiDzrOzqRtvSHBqKs1rr22haMw4Fk5K8fKqbbR0ZaiuLg9Cx9oWtm7ailE8mtOmVKD2k7r2trfT5keZVR1lzbZuTp9ZwdZtu2np6KekvIQKM8tLm5rI9HSzqw/OmF7J9m2NdHX0kigtpjrs8NKmBnbV19Pix1k4bRS7d7fS1NjC8lW7SKcTbN60mU3N2WH7zfb2YSVSTCxSvLi2gUymn21NGU6bNZbWhiaad+1mbavLojkTSEbUYLBs97WxoraHRXMnQm8Pbb152lra6bV98n19tHZ28uKr62nXMUK5HpavrqOjq4tuHWZazSgad+6is7ub2rY+opHgSbpzaz1tKsHCU8YQMsDJZsgbYaZXJ1ixahtmNEl1ZSk1ZSF6bJg5rphN67bR5hz+5Ji+1niPPgof/SjqE59A3XdfEPQNVPHt758iSmH6PjX33kvJZz6DuuMO/H/8R/zPfhbvW9/Cu+cevD/9Ce+ZZ/DWrMGrrcVvacHPZIL5/wZeUiED3wqhQyG0ZQX7lH/CCCGEEEIIIcQxO6bKPn2kpVHiqPknwGNtqKMbHnu81VTCWTOCIbwUjqmuKQgZlAqCvjGlcN7cw99mrrOdhu48bK0nl3VorGumZrxFRXkRiXgI0zAGQwyUCjILZTKqIk0iYmEa0J+3SaVTRJNRUlGTrJ1DWzHKi5OYk8dSHI+SSoZ5YXeO0uSeJFIpwAwxc/pY2lrbWNmW46KFEzGUybQxJby0ZhuTpk6mq7WBBhXn3PIku8wQo8qSeL0W2nXodTUTilOkkyZZKwKdPVSUpHCybYSSSUqL0syaXE3UCuqxEmXlVFhNvLIxy7SZU2ne0EpRSZJE0sH0dpLXMUzLAMfF2WucvvY1/XnN2KIExWGFZ7ejiLKjqY2wq8H3ydouRaNSxFN54iGFDwzrkmNYVJSmiIQzlJUUkUyGMVCYStHY3Ebc8NCGD4ZJZVmKeCSEicayDJqb20gbLqbSZGyPVLKUWCxBcSpCLpdDhSKUFSWZPmksRZGgM/hAgwnLNOlo68CNK5QOfgflZSXEY2EsU2Fnc4QSMeLRCEWJyGB5qGfnIRIjFY1Qlo6RUeAphWUZ2K4LnqLP9igrTlFphkj4FjpvU1acIhxJMrEsxMtrtlNePZ5o4TWUybqkUklisTipqIVhmvT19uI6YUwFWikMpQhbIXKZDDs8D0MFXbD1YTTN0Frjui79FRWoeJy066JME/8wAzfDtoM5/Nrbg+47+9tnOAzxODoWg3gc4nH80lJUaSlGUQnh4hJUcRE6lUYnk5BOoRNJCIeDqmzDKHTZIdi+1oP7GlaaewK8PwohhBBCCCHE6+Wow75RlWVMnTiOVeu3yJDYEeb7PlMmjqNmTPUbfSgHlM1DWw/0ZqG9F2wnyG4sA6IRSMWgJBmcj/TTJWTBJ6+DeZNgV3vQlCNrQ3VpkAlEw3DuHJg29nC3qKnd0crsU+dw2sRi8Mbz2LObaO0vJlRIN01jyFBUpbAMhTJAeaBRoAwmjB3D069t4ZWeGB05j/KyUUws7WRXcwfdXf0UF3dQl41y3pQwr2xqZMnM4PdtmhYmmtbmDnJKobU3uK/K6jL6VzcyqmYMXksj/elSIkZh+HohfFHRJKdOqGR7Sxs9dj+l42sIGwY5rSkfU0Nl43Z2t7bR3m1zysBwdxViUlWCpau7Oa8sQXzCKF5evYnWsE/R6LGMLfLZXtfAs+tcXKLsGV2vMCyL6ZPLWLVqI5sNmzETx+NmWrB9g3TYorEvy6zxVbywcQO5pEEGi2xbG4+uaeTi8+cQJZhbUxW2ZxqADoKzbCZH1oXSRIhsXz8ZJ4RpBI+xZZnYmSx9LlSmTbLtOcqmVbN97U5e9ttp6coxc04V47s6gse8u5/Ro10efmINc85YyNgU2HaevrxPeVEMz8vSlY1hFX7HCkVRdRXxxk08v0rT2JmlrHDHo0UVlKsmnnptK+0NnUysrKGiNM7GDdsxutoJjZvA3MkWG1rbsHWWeNUYwoYxWFo9ZXw5Lzy+iXmnlw4+68ZPqGDrynpezCXoyvkoz6W73yGVTmBol86sA26euqZOevttSpIJQha0N7WyYusuTl90GlXxgzyrtcZ1HPpGjWLXDTegRo1i2rPPUtLbi28Y6ENNZrpP2+v98H3o7YWensGAThW654TRRDRow4BoFB2JoKNRiETw00X4paVQUoxfUoYuLkan0+iiInQqBUXFEIuBaaJNExUKUXgi7D8Q3PtcCCGEEEIIIU5iSh9Ded7mbTtYuuxZ8nn79Wuz+lajNZZlcfF5i5gzY8pBV/U1dPTZhM2j+5XavkFZInTYv0rHhVXboaE1mN7LIOh4m4wGIR8qWJ53oT8HfflgWWk6COJKU0d1mEdEA43twVx9cyYFy47mmZrP21jh8OBcaPm8jWEYuEAsZJLNO0QiYQxA+x45VxM2wEURMRVZ2yMWCZHpz5DzFPGIRSQSQnkubT1Zook4CUOTxyBqBVVd8VjQdsG2bcxQGFybjn6b4nSS0JDANJdziEZDuI6Db5iETWPwePFcXAwilkFXTx++YVGajOI6DlqZhCwD187T2e+QSsWJWsGGfd+lbus2dubTnDsnCB37+vrJeYqyojiqcNlVJhHLIlroaO15Lo5vEA0Z9Pb2Y2uDsnQMtE9HT4ZoJILn+yTjEfr7+nEwiYUtLJ1l9bYO5s2swQRcx8VXBpahybsQCyuyeZ9YxKSrJ4MVCgE+IdNEKZOwReExtujuyWCEQijfx3ey1DX1EIsqttS3c9ZZ80krh/aeHNFEnGQY1q2vY9zUSaRDQVeX3t4svmESUhrDMgGDaNggm3eJRkJ4Tp6ujEs8EiIcDmEVuiRrz6G916Zu/Ub8MRM5Y3wRHT1ZQlaISMQibJn09PbhYFKWigW/L2USNhXtjbt5uT7DRW+bytDYLJfJknEZfL7kMlmyniJmKZRl4tsOvhkijEev7REPW2jA831i0SjWQYJ13/exbZvOzk527d7NjsZGMnV1zFy5kjn19YQ8D+8AybyhNcovDBdWheHMSg2rbj2id6GBYG6vk1IKtB8E5qEQOhwOqgXDYfxEAl1cgl9cjC4qRpeUBGHgwHlRMSSTwe1CoSAQDIWCNwB/SPCodWFssWafikEh3gDp+PHprHT++ecf9rpPPvnkcdlnXbtNTWlYPhIKIYQQQhyGTCaD4ziHHJV1MOl0er/LjynsAxnK+3o5nF/+6xn2tffA4yuguggmVEIiFlTUcYDvygPDZzN5aO6EjbthzkSYPfHIj7OuGXoyhxfaKQU7W4P1Z9Xs+V5fnobRZUe+77cKO9fL2m3tTJkynnTk9ajc1fg+GMbx/Ybo5fpZt72ZrK+orq5kfFlin3V83z+u1cntza04sRSj0tHDWl+7Duu2NFA2ZjTV6de3fbLrumSzWbq6umhpaaGxpYXmlhZKtm1j0Zo1jOnsRBsG/pA3BUNrdhUVsaOkhFQ+T6Jwiroulu9j+T4h38fwvD07GnJ7vb9w8HAMrc4bGggOWa5NMwj3LAssCx2NotNp/KJiSKfxS0qCYLC4EA4WgkKiUQiH0ZFIECZaJkqz7372PgYhRoCEfUIIIYQQbw0jGfYdczfeYzkoceJauQ3Gl8Jpk4Mhsr4G1z307WJhmDo6GFL7yMojD/ueWxdUCFYVs09QoFShaAcGr1TAqLLg5A/JCF7ZHIR9C6Yd2f7fKsLRFKfNeh1KLwepERnebUYTzJ056aDrHO9pCMqqKo5ofWWFmD3jKFLv48A0TeLxOKZpEo1GSSaTpJJJGpNJHq6q4pR16zh961ZijjNY5ad8n91VVbwwfz7RQoWfdl1MxyGSyxHO54kWTjHbJpnNEi8EgnHbJuz7hFyXkOcR9rzgBalg7/h+n1Bw4G/NXn9z9oncfB9VmE9Q9fdDayvmYCio0crY0wzENIMGIckkfjodzB2YSqGLC0FgaWlwKi5BJxMQiQZDjQvhYFB5uCf4U3sFkRIICiGEEEIIId4Ixxz2ibemvAMb64L578ZVBF1uDbWncm7wO24hgDMUheGF0NQBr9VBW9+R7bM3C229cOWZB67qC6rDDr2tOZPg/mdg/pQ3R1MRId4ISqnBoC8UChGJREgkEqRTKZpTKbYUF9MwZgwLV69mYkvLYLhllZQwqaaGpGXhFxp9uK6L43k4rku/69Llefiui++6eIWfcV3Ctk0kn0dlcpi5HAk7TzKXI1kIBFN2nojnEnE9wq5HxAsqBvdnYF5BvdcQ4mHnhTeEfWI3HfyHQrkuqr8fo6kpqODzfTBUEAoqFdzeMNDxOH4iCakkOpEMKgZLS9ElJfhl5eiSEkilB5uR6Hg8mFdwYD7PgWCQIaHgwNyCQgghhBBCiLcspdQRF9JprQ860lbCPnFUYmE4fQo0dsCGhmCevlQ8OI+Gg/BPAa4fBIP9uSCs684E8/lNHg3eIfcynO1CIrwn6OvPwfodMKkK0gn47gOwrg4+fAWcMQ3W1UMiChOq9t2WqYLiHl/DAVoLCPGWYRgGSikSiQShUIhYLEYykSCVTNKUSPBkRQXbN27kjA0bKOrtJVxRwYSaGkoTwbBo3/eDsG8g9LNtPM/DcZzB86HXe55Hb86mL5enS/t4rovnuvieh+95mLZNuHAKuQ7RQhA4EAom83lijk3E84i6LlHHJeK5GHt36B0S/GkOEArCsAYj+/1zqTWqrw+ztxd2D2n+saczTbBaJBKEfPE4fjyBTibRpSXoklL8klJ0aVkwn2AyCclE0Hk4kQyGDRtDwkWtUa4bhIFCCCGEEEKIk5ZSinw+f1TDeePxA3dkHNGwL5vN0tzcvM9yrTVFRUWUlpbu51biRKAUlKdg7gToy0FnX3DqyQRdeV0v+NJsGhC2IBqCMWUwZ0LQkdcyYHtT0OTjcDluEM4NWFcPH/ku3HkdnHEK3PvXoCvw6OeD/XzqBzCjBm69GJa9BjWVMHsCTBx13B8OIU54Q6v8LMvap8qvsaiIB8ePZ8H69RhVVZSXlFCaTmOaJlprfN/f5+R53j4npxDq9WTzZLJZtO/jFsJAz3FwCmGg47q4hfNuz6PDdfEKoaLneSjHxrIdQo6NVagYTORyxPM5krkcCdsmYdvEbIeo6xJ3bKKui6l1EAoOne/vIBWCwy4PhHEHegwdB9XVBZ2dg/sItjA8WNSxWDAcOBZHx2L4RUV7hguXlqLLK/BmzkSXlWFI4CeEEEIIIcRJyzRNdu/eTUtLC6Z5+KVIhmEwf/78A14/YmFfLpfj1ltvJZfLEQ6H97m+ubmZu+++m6lTpx7zvrTv43g+lgGeVoQsqdUaaZkcvNyoYO+3AAAgAElEQVQKl6QgEYF4BMaW7dXYkuEj6oJep0GxyoYGeK0W4rEDVNLsRSno7g8qCgdMqobPvAcWTYeyFJw9G9bXwzlzgnDxo1dBSSoI9647G2KRoOpQCHFgSilCoRCmae6p8ksmSadSdJSUsH3mTMZUVhIPhwmHw1hW8Gdk7zLygcsDy3zfHwwF0T49WY9sPo+Bh+f5+L6H5waBoOt5eF5Q7ed4Hq7j4npBIOjahfPB5YV1XJcO16VlIFT0PHBdDMfBdBwsx8FwHeK5HPF8vjCPYI5EPggFo45NwglCwZDvY/o+htaYQ+feGxIKAvvtQnw4nQlULofKZqGjAwb2QSES1D5aGXiTJtP/mc/hjx8/vGJRCCGEEEIIcVIxDAPTNI847DuYEQv7ent7aW9v56677qKoqGjYdUopPvnJT1JXV3fIsM+z+3jpr8tYVdfM5Nlnct6iuYT2uk/Z3Rv57z+1cPXZHs+0lnHrhace4ug0Pgqyrbzy7Ebmv/1sQkdxH9/KIuHgO+2jr0FpCkaXBhV70VDQldcwgi+unjdkKG8eWrpgd0dQ7TexCi46/fDCPoCefnhhw57L5Wm49uw9l79+K+TsYOguwGVn7LlufyGf5x3W93Ih3pIMwyAcDmOaJuFwmEQiQVlPD67nkUgmiUQiw/7AHM48E0PDQN/0MMNhLKWHBYN7TgMVgoWqQc8LqgX9QpWgWwgF3SDwc113cLiwNzCc2HVxXQ/XdYJzz8V2PTKeOxgI+gPz9hXCQOW6RGybeC5HLJcnYeeJ2flCKJgnbjskHSeYS9DzMXXQgVgNVOANaTZypKHg0PdCa/MmjMceIX/LB4hoLc2whBBCCCGEEIdtxMK+kpISRo0axQc/+EFKS0sHE0rf93Ech5aWFmbMmHHQbWini9/88GeUnXoeV1+5iC0vPsr3f7qL2//uUrJdTdTu6mHSjGko36WnN4fjuPRmHQB2120maxYzeVwlAJ1N9TT1wilTa2ha+wS/W5nh/Zefhp3JYgD9HY3UN/UxecZUIr5DV0+Wro4mkpXjKU9F6WlpYHePy6RJEwhLQwe0hgWTIZWAhlaoawmCNq33DLUdGLw28L3WMoOhvwumQmUalq4I5vY7XOXpYFjwc+uDTrp7f/Ud2E9bDwdNEDVQ3wKjy4PhxEKI/VNKYVkWhmEQCoWIx+P4vj8YAB5pJ+OhgZVhGJiGsU+DHD1QFjxwuRAQ6oFuuhp8f08YOBAO+p6Hr3XQDMT38D2/UCEYBIJBuFcI/xx7TyDouDiFKkLXcYKhw55HznXp8zwaC5WG2nGCluOui/JcLNsmmguCwGjeJm7nidt5UoWAMGHbxF0Xy/MIeT4h3wsajexVJQjDQ8GBnw1DkctmyReq4yXsE+IYaA/X8/GwiFiHei155LM+oWgI40hedjqYkiDnGcRjIQxAax8372JEw8d5fmAd3CdtyecYIYQQQuzXiIV9lmUxc+ZMTj/9dG655RZaW1vxfZ/i4mJ6enr4xCc+QXFx8UG30bZpJe1ONe9bPBcFVF95LVUb6mjfuY57f7+M4rIinnp1A9edOwXLCKpKwmGTdU//mWdq+4n2d7B14SXMiu7kN8s3Uxm2WbFxLlONjaxf1Ufm/Kns2LSdSTs2cP99j1NSluKZlZu4dskEPv31v3DZO2pYtWMlt75rDvf/4S+MGjMF24ozd0LlSD1sJ4xUHGqb4W3TYcY4mD4W8m4wV5+31/dZwwhCtYgVhHVaw462w+uau7e3nw7raoOw7mi/+2odBIezao7u9kK81QxU+YVCoWAYLocuGz9aaqCF98Dlg7zQ9x42PHA++LPv4w+rFBwIBX18b8+8gsNDQRfH9XA8B99xBzsN205QHei5zp5GJJ5HxnXp9Twc38d3XXTh5HsehmMTzttE83miTnCesPPEc0HX4YRtk8znCfs+Ydcl7HlEPA+0T+uo0dTOmEllNoNfCFyFEEepYx0vrNjAs/HLufOs5CFWXs1372zg+q9czLhkeJ9/LB5Q31Ye//Vv+crqiXz3P/6GeSGP/tYtPPT1Z5hx1weYfYx3YZhcM8271vB8z0VcfaqPUvL+IIQQQojhRrRBh+/7JBIJbNvmc5/7HLlcjjvuuIPZs2cPXn/Q27s+pjnkg5YRp6QixcoX78M642JuWDydH//gs6xqqMQyFSgDy+3mgV8upX/CDEq8NlpXbaalfRWnX/FhzpuRoqmlHbe5g8UXFFFdHMbJu6xY/QSJxZdywxmT+cHdn2XVziLKxkzm6qvfzYZ/+QlZI05JLARmlOJ4dCQfshPGaVPg2XXw0AoYVw5VxZCOQdgEFSpU9FGYo68w5VV3oXnHznawPbjgwHNJHlDIgFMnH+c7I4Q4LANNPN4shgaBhzuEeNjcgkOGDQ+EgkPnFvQLQ4Z9Xw9pMuIGQ4gLYZ/n2nuGCjsejusEcw26A0FhUFGY9Vx6CsOPPcfF91x830MXmouEbJuIbRN1HEJWCG/SJKrLKzBluj4hjp1SKMPALLxNDL4fUJiCIFiIDxhKYVrG4GdPrfWw9YY2+h7Gg0k1CWZ0evzyl+uY9/5ZKBTG4Lb04LzGe7Y15DgG9rfXMem9lnlt23jxz/fwow0RVHYlf6xZxN2fOBeZklgIIYQQQ41o2AfgeR4lJSV8//vfR2tNNBqlo6PjsG5bPn0OoWU/45k1Ozh9SgV1ryzjyQ0Ob5s1jlW19XTPKKa3L05FMkzeDr442dqiZvIEyi95D9O9DazqLiZmJqiv30F3aZhnXt7F/LE+vd29wZcwx6GsaBzbamvpnhqjvz9JeSKKUnGUyuO6Hv29NjVzzkO1vsw9Dz/HF26+ZIQftTe/sAXnzQvCu/omWL8r6IQbMoPqPaNQnOMTVPo5HpgmlBfB3KkwvmLfYbhCCDFSBsLAo60U3BMS6j3zCBZOerD7cGFOwcKw4YE5BYNhwg7OQKVgYW7BoSensH5Oa7xwmIrSUkrSKcJ7zY0ohDhaBla4j476Ffzwyy+RS27lgeYa7vy3z3DdhC7W/ezbfOjeZkZffSrTnDEoK0zPs3fz0f97lVd7p/KFL3+Q94xdy/886jF/wRyqGjbSbCSZtWQOxQDaoy8+hpJRo7io72Hua57FVRYE9cqa/hd/woe/+gKrvRQ3fOKzfPJcnye+cD/bKrfxq+V5Ln3P2SSefYX7Nxdz/Wfex21LxrD7iV/x7bsf5Mn4GXzogzfwkcWVmOWTWXTVh/H4NT/2LuCHH1gw8h/mhRBCCHHCGfHKPt/3UUqRSqUGl+vCvEqHYkYrufHWm3j6yWV878lWJkw7jRtvXEw64tDX/kd++pM/sPDiW5gx1uC0eWHKyn1mhEs5c0kNf/j9/Wz1U1x6zULGLprA0j/9kZ/+Ps9ZF1/DuPJ+jCefpL5nDjMWzGbhmUuwl97PT3/yJ9522a2cUumyYF4EMDntjOmMGzeGtVv+xOqdBtdffcYhj/utQgEV6eA0UMHXnwuacbgeoIOAL2wFnXDDlgR8Qog3r8OpFDxQIDj0fHAuwcFhxIVgcCAM9Hw8zw0ue16hwUhQNej7PpZlkUgkSKVSRzU3ohBi/5RS6L5+tJ1k8Z3f5LaGv/Cfr9XyruRG7l49n5//4XKqNtzDzZsMyDzND1+dzr9/+/1MtJ7ja39Zy4byU7ks8gxNa+9j5dizmVx1CnsmpNH4rqK8ZizTk218955nOf9j1UE1Hj5NW3Nc/73/5Sflr/LtL6+hd8l0PGcX5vw7WHrpq/zb95uYdes/8YO6x9kS7qV2/V/Z4lVz2bd+yV3O0zy57hn+uPNdXDOuh9ZsG03hC/jWrHaebIKLRr1xj6kQQggh3pxGNOyrqqrixz/+MS+++OLgkF2lFH19fVRWVhKLxQ65jXhxFe+45gbeEdy6MHTC5Owr38MS9nwhu+bSapSCaoJA6cZbbhvcH8DV179/2OWPfHwSSikmj6sBpTj36hs4Z8j177xsLACXvfNslIJzLx9+vRhOAaYKhvJy6F+rEEKckI5q6HBwYXDZPiffx9c+2g+GExuFxiimZb2phk0LcaLT2sePpkhPmsnbqsLke9Pkmtth907c865iUjwMpy9i8a+aidVu5pHnV/PzR+4lpLM0Fy1m1qK5XHlZOcu/100sHmXWaXtv38OLVjNmgubi0l/w41du5BQDTEwmXX4xux77Pv+ydBNLkxfyXu3j6WpmTU6RTqSYfNooZlSWMaE/zu5klI6WNp69fym/+/YfiPl9pKeezs01NoxLUzl6HldfB2HT5zz5WCqEEEKI/RjRsO/GG29k4cKF2LY9bLlSismTJxMKhQ5rO/v9QjUwn8mei8H5AW5zwMtDzve7vT0blKo0IYQQh21w6HBw4YDr7V0ZOHBb+eeSEAfX1NREY2Mj+Xx+cJnrukydOpWqqqr930gplGlhoclBMO9IRTnOr9fSffUoijat4iWvgveOGcPi0yfx7mvnM2lUDNfVJJJR+lbkGVe0m/pYH9v7YUZiyKYB7Wsor+KUM+fy6LceJTY3yQTtsfb+pXSecz2fWvgy/n9axAwAY7CbbjSdIBQKPmv6vk8qleb0y65lwSkXcHmNIucprHDwudkwTMJhAJMDfZJ++eWXcV1X3keEEEKIw2QYBuXl5dTU1JwU/3Af0bAvGo0yb968kdyFEEIIcUI7nPkEhRDDNTU10dXVxfjx44nH44PLtdaEw3u1q9BBJ23b9dGei51TQeML3yHjWpijFnPj6O9y3fUPMeb8cVT0p/GKLuPWeT/jS197iLVdirPe9bd8alE7T7XGqTnrHVgr69nWazHuklNIAmgf13XIGR6QonrSAq4683v807LJnK808Vgz//XZr/O92fM4N/ccv141nbIeh1KtQbs4rh80NPMcnHyO0JyzmddxH9/75qf4Zqacs95xER9572ImHOYn9zlz5gz7B4IQQgghDs7zPBobG2loaGD06NGHXZz2ZqW0fBI4afgaOvpswkfZvtH2DcoSoYMVoAghxHGRsX1ytjNY1SKECKTjkeOynfPPP/+w133yySePyz7r2m1qSsOvy+eIlStXUlNTQ0lJyaGDci9HJpsnYyYoNm16uqCkMoZv99HSF6K6NILd1Uxdm02oOEHcDlFancbKtrOjJUO/C8mSckYnXfqcENFYCN2XwVEWiXQME8DLk83m6FMpKhIGaA+7t50dnWHG1RRh9rZS15rHjyYpU314RVWEu/sIVxQTN7J09lsk4hFC+R76VYRwLILR10lLWw9drkWqKE1lWYqIvGcKIYQQIyaXy7FhwwamTp1KMpkc8f1lMhm01tTW1tLa2npEFYWGYTB37lzS6fR+r5cGXkIIIYQQ4oSSz+eJxWKHVxFrRoknowT1fxallYXF4RTVpcHP4eJRTCve63bxMmomlA1bVDyQxRalhk9RbEaIJSN7limTcLqSKQOfv1OVTBnsVVdS2H5h5yQoGbgunmbwq0WyhNHJEkYf+h4KIYQQ4jiIRqO4rjvYc+JEJv8fFEIIIYQQJxSttQx9F0IIIYQ4AAn7hBBCCCGEEEIIIYQ4SUjYJ4QQQgghhBBCCCHESULCPiGEEEIIIYQQQgghThIS9okhNI4nzZmFECPP8bR0/hZCCCGEEEKIESDdeMWgkNL05FwM+QYuhBhBWmvAJyT/bhJCCCGEEEKI407CPjFIKQgrH6ntE0KMJPl/ghBCCCGEEEKMHAn7xD7ke7gQQgghhBBCCCHEiWlEw75ly5bx+9//Hs/zOPvss7npppuOajvrn15KR9mpLJk5BvB4+uH72dTQjTJMZi44hzNnV7HiqVXMOHsxcRPQOVY+/QKTzzyPdKiPF19Zy+xTzyQROq53TwghhBBCCCGEEEKIN5URmzHpscce40tf+hJLlizhHe94B/fddx9f/epXqaurGzw1Njbi+/5Bt6OzLfxl6V95aOnT5AB0H4888CqTzryISy85n5VP/JbnNmxl2e8foMcduFGGx3//W3odnwd/90s2d1vEQmD3tbO9biceYPf1Y9s+oMnksvh+nvraWrr77ZF6SIQQQgghhBBCCCGEGFEjVtn3k5/8hA996EM88MADtLa2cuedd/Kzn/2MT33qU7iui+/7bN26leXLl1NeXn7A7dSuepnR57yTOV2rWbm9m7dNsrBM6Olsp01rPK2IhEKEQqEhw08V0WiIh37wf7Snp/Cp6xfQvXsz9//5aUJxxV9XTOC04nZey03ixrMr+cNfnqPCyVFvG9RMnMa55y8iKhPHCyGEEEIIIYQQQogTzIhFWtlslkgkQktLC11dXSilOOuss5g/fz533HEHt99+O7Zt47ruQbbi8cSjD9HVn6G/s5lly14AwnhuL3XbNrN5cz3nXnUzC2rSON6QCkHDonn7dmq7fIyOLXTkYP3z9/LI6s10dnax7tmnKJm+kNyODaxatZbimrkUJSJgRiivqpQOkUIIIYQQQgghhBDihDRilX1XXHEFv/jFL/jYxz6G1pqlS5fS0tJCRUUF9957L0oprr76asrKyg64jZ6da6jPlbI45aASM8k9+zJN3YsIR0Zz+buvZ0oSlFKQqcN13D1dZH2XZGU17/3k7fgr/siP7/0z544dx4JFo7jpirk8+vArlFXVMLX0Uf70VA+3/f3Z1LttXDQ7xS9/+j0qP/s1/j979x3mVnklfvx771UbSaPRjDS9etyNO8Y0O3QInRBCCYGQDambsiTPZneT326ySdgnvRMIAUJPgqmhhGJjYxsbF9ztcZ/i6TPSSKMu3fL7Q664YGyPDfb5PI88o1vee3R1R5aO3vc9td5Tt0zFqfvIhRDHi1T9FkIcL0YqRjKdRi0qxXNcv9A1MTIxumIOaoIFQ3IEyzJIhbrQ/TX4pOyeEEIIIXYasrcFt912G5FIhEcffRSHw0F1dTUPPvgg69at4/bbb8dut/OXv/wFu/3gVTNCAwku+NQXuGByDQDlztcJ9yeYcPo4CjBRFC2/oeZh3LRJFOx6A6c4mHDmWbgVhbKZVzK+/WmKRlzOtOjrPPjAU4w791LcmsL4UXX8c0eUSr8Xww/PvzKXMTOvpbzg1E136SaY8ilcCDGEFEBTQT11X2qFEMdRaOUbvL3iXTyfvZtLC4/jgY04A1uf5SuzxvHiD8487N30RDdJ04XD7celHXrbTM8mnv/ed7Hufp5bK44yXiGEEEKcNIYs2We327nrrru488470XWd4uJiFEVhwoQJvPzyyyiKQlVV1SHbGDbxXBrY09NsyoWXgqIwtrEq36NvF2cp1/7LLexepHi44vbP7bzv4LKbb0FRFEbVfYbzABSFzMB2XnpnNVdf/VkAaibO5F8nzAAUlFP0A6hugs1mwyXjmIUQQ8iyIJ7RUTClJ7EQYsgpNjs2h2vo3vQe/Mgomh23830ydu/R+cbXeDVxDqdd+i3OLT3IRpZJur+JpX/9LT95pIgf/OzooxVCCCHEyWNI3/coioLP59tnmdPpZNiwYYffxr4N7m73QMc62P3dvyvK7vbs7iAXXXUbtTUVB9znVGSiUujUTtlkpxDi+NFNjUzWxCbfLQghjhcFwCSXTpHO5jAsDZvDhbvAjgpYuSRZxQmZJOmcheZy43ba8r2QzRyZVIq0oWBzOtB0BU1TsblsKJaJnk2TTufQUbE7nbhcDrTd76cs0JMMxnMo9gLc7vw6M5cmncmQ00GxOSkocGLXFOque5ovWDvjNXPoholhgZFJk7PsFBS6IbSG538whVv+WESg7AYUGZUhhBBCiL2csh+zNKeP+pqqU/cECCHECSTfKQghjjfVBmbPBl747tVMHVlMScV0Lv32k6xPA2aO7qdu4aevLube286iong0F/zHC2yPZAAw1j7Dj24cR9XwaVz7m1/xP1f+jke+/zbdAKH1zPnV5/nYsFpKas/mhv96gOUhQM2PFjFSrbx198cZXVLChOt+zpv9OSxMtj7x33z6gmpKi6sZfsl/8ui7XaSA7Ns/5rEXnmF+CNj0d+Y8dzc/v+ePfGlqPaXjb+L/PbMNR3AyN99jkYss4bcXJ8iZB33YQgghhDgFSa5LCCGEEEKc3BQF1YKBjg7C+nU83G1hhhfwl7MW8aOXBvKTiCo2XvjTIibeu4aU9Ra3rXyBhZui6OZifvqvr+L55Ets69vEG9cEiA5uZrnDi5+tvPjgU/yt+SqeCA9itj3H96b08/jzGwEbSjJG7uUnWXPFq3SZOv+46Bn+MruTTKaZdxe4ue2xViJWnI4fFrJqbRMresFh11BVNT/Swmmn6Z2tNCWn8KstYbY8fDO+hx9gXgbAIpvLoZvy9YkQQggh9iV1u4QQQgghxMnNstB1CEy9jM+Pm0rr/If51RP/4LEFs4l/5dtAISgw+tZbODugAeXUDdcZcKgY7y7mr5dcwf+e00gFwNjzuWh0ih7TItK3iTY3FF17EWMB/COZcdt/M0NRwIxj2d04Jt3BzWe4wTKpaBhGVoec0sgtD36f6PZ5zP7Fa/zl0V/z5ulBrrzsIvaZTyWXw3/aaZw+YQalqHQVFlNZlyaVBZwn4DwKIYQQ4iNBevYJIYQQQoiTnILmgNTWl7n/Sx/nv94pY9qX/4cnf/J12pLxnVvA2NpKNHX3Lnmmga7ZUHevsKGpKhpgWSamYoFt1/fnUdrXv8Yvvvka/aoNxaahjqikdK84QMHmiLPgP8/izt+toGfqv/Dw7+9m2KgqIhmTfSY6MC2CPi91pTZAxuoKIYQQ4vBIsk8IIYQQQpzcFBXNytK9ZgdNC67lrv+4go/VZpj73LOYLs/uzVR1r0SbBRgGyqQzuP6fL7N5aQdxgO3zeXPTOtYqCv6ysdSnbMRfmEcrQKKVVa8/wWNuH8GdTexb+cwCRUFLLOOVeyZzzWc/z+cvHMa2ha/Q2dOP3amyb7UNC0VBiqcJIYQQ4gORZJ8QQgghhDhpWUYOPZsiYzmoPWMyk85+nuuLajjrW69RdtENnPuLs/jNChtWLkVGt3Zm6Cz0dIqsniHpOp/v/XQG4b9eQcOwqVz9bDce93Cm5BIMMoKrbrmKq0qf5qbaKnwjv8KfQ1fw0PfOBiuHaeZIZY09seRSJLMGOdfZ3PzjHH+6vIHqs77CsvpP8PFFP2T2rNdZ1aehmjkMi3w13lx2dwEO09DJpdPou/KBlkkulSQn1XiFEEIIsRfFsix5e3CSMC0Ix7M4tCN7SrOmSsBjl2+PhRBDLpk1SWdz2OQrJyH24XMfm4nYLrjggsPedu7cucfkmC2hLPUljuPyPmLx4sVMmTIFl8v1vtsa6QTpTAbVV0KBlSUe7qKrL43mC1JRbGOwqxt71Wj8ehdRewXFLgUFk3hPL2ZREI/LhoZFJhYimiugIDWf39+7He/Yi/jarWNQrRzpaD/dvYOkcOELllFZUoCKiZFN0Be3U1GSj9OIddFLKeWFNqxELx0dYVI2HxXlPnLhHgxPOUVOHR0bmstLgTFIImtiOf147aCnEyQHk2jBUjwqWEaWWF8YtbQCrzbUZ10IIYQ4+S1btozRo0fj8/mG/FjJZBLLsmhubqavrw9NO/z/zFVVZeLEiQeNUwp0CHESSCdjpEw7xd59P/RYRo5wJImvpAj7cUviWkQHoti9PgqUHKHBLCUlhdKNWAghxAmhuTx4dg3VVRx4g/WMDO5Z7x5etPO3Skp2L1Xxllfs/L2Tuff/ij8/8BrvdobR6iZw0W3/zpc+Pib/f5tix+WvpMFf+Z4jq2iOQir2NIpWWMnurTxl1I0q27PS4z1A8D48jj13bS4Pvr2GHSuaA19Fxf77CSGEEOKUJsk+IY6EGeNvD89h8jWXMSZYsHvx8vlvsNnRyKfPGn7ETS9//XWeWLQVNAXLsnA43Vx5xcV8bEINB8vXrXzjOeamRvDdm8/ZZ3k20s7PfvEPvvnDbxJ6dy7vRAN84bKJhx2LmY4xb94i3lyxjRR2pkyZxFXnT8VfcKiXjiyP/P4Bxtx8J+d5d/CDP77L3T+8g6KjyvYZPD/rGcqnXsLZw4uPpiEhhBDiAwow8eN38p3TriGSzqJ4S6lvHEFN4ETHJYQQQghxYJLsE0NGN6ArDB+GgeKmCUE/eN9/tM/hsdIse3sllRdesE+yr3nTepZ6Co8i2WexadVG7P46Lp1WB0B6sJs//fEB9H/7OheNPvAnC8s00c0Dn2hdz88VlEknicQLDzuSTKiNH/78ERIljVw64ywcSo5Vi97mG2+t5sff/Sx1PsdB9zV0Iz/lERa6fqTVAy0G+kI4/SW47RaxaBRfznj/3YQQQohjykmgbgyBujEnOhAhhBBCiMMiyT4xJHb0wstLwesEm5ZP+J2IpJ+igKpAVod4Gs6bDOPqjknL2B121PdMTKTZbNi1vbqwWXCg7niWdfDKeopqZ+KkCVw8Y0/CMNm8jSXLth402Qf5MfsHOqSiKOR0mHb+lUzbLw4L5YCB6Pz1kVlk6s/kl1++ZPfjvGjGVB76xa+47/ll/N/t5x708ezd5geZu2mf2K0Uz816kbNvuJWxZQ5uu/MLh95eCCGEEEIIIYQQQ5vsy+VyPPTQQzQ1NfGZz3yGuro6fve73+FwOPjqV79KMBh8/0bIsW7pQtZs72b4+LM4c/yw/bZIdW7iwVdDfPwsnSX9Jdz6sfF7rTV46s/PM+bqK5lYcay6dYlDMS2YvxbOGwcNZfn7J5qiQDwJLyyD+jLwDOWloKiQi/P0k8/yzJIW/OWVfOGz1zO1IUBfcxN/euKfrO1MMmz0KL78matoCLj3ayKVSpHOZAHIxvtZvr2PCdeXsvC5p2kvncTNM0Zixtr5yf0LuPPrt2DTNFLhDu75zX3M3dTLlLPO4eufvoiCnZk2hw2WznmBeZkGvnPFJGK9rdz3yAss2x4hUFHB52+/gWnD9kwqlAt3sKglwb9+9zy0fbJ4dm77167ise0AACAASURBVK/QHcs/qe2bVvLHx19ncyjLiFGj+cJnrmR40L7/KVHAygwya9Y/eHlZC5rbxw3XX8UVZzQCOsvenM2D/1hOWFc5a8ZMvnjtFJ5+8H7+/MY2nt+a4bff+wyLn3uShos+zTnDPKxeOJcHnltMTxqmTJ/GF2+8hIArza8feoaysnJWvf0ubWk7d9x2E5efXsuW5Qv5/d/n05tV+fjll3HLpZNxqpImFEIIIYQQQghx8hnSZN+WLVvYtGkTn/vc5/j73/9OQ0MDEyZMIBqN8sorr3D77bcfugEjwXOPPo5ZOZ4pk6fQvHIOD6wfyZ03nYeRjtMTTlBRVY6VS9PVEyWd0ukbLABMeju7cPpLKXJrhHrChEL99NoLKQvkJ2HWU4P0RtNUVpShmDrZTJaUDj6vne7OXopKK3E7LJa9+SwD/jO5dGod8YE+EoaD8mARpq6TyWbRUfE6LLr7BgmUleHQJIGgG9AbgXVtsKnjREeTZ5FPOA0k8vEds0YPQLPZ6du4lGfWRvnx/3yNnjVLWLOxnYnBLD+791lGn3cp13wywJqFs/nJn17kV/95E+7dnQEVnA6TPz38GK+96MWyLFTFYtK0GVx/TiOv3/dP+h3p/KZmlvaOfnIW2DSVFSs3ctG/3spV1+r84feP8lBxBd+4wJ9vVYHBSJiOdAWYSX7/m4fJjTmPX9w6jjXzXuH//vA37v+/LxN05gPJJOOoqoMS3/5VIR1uH3VuyIRa+OFvn2b6tTfylQnlvP3S8/z4Dy9w7/dvek9vPgW7YvLqX2exoNfDN778abKhNu595ElKKu+ipn8pP/v7Kr7x9dupcSX55W8e4/HiANdfewWL257l05/7JNV+B51dnZQaKv1blvKjvyzgC1+7jbFBjb899AS//Jub//vcmXRua2L9Dou7vvQ5Bpve5pfPzmbmmBt48G+vMP3aL3Bhnc6sV1cxkJ5AhVs6NgshhBBCCCGEOPkM6afdUaNGUVtby8MPP8x1113HyJEj+c1vfoPdbudrX/va++4f2rKC1kgh37zjXBQFxgyvYPmyTUR7t/PM314kp9lxVozmujMqsGkqiqLhsFsse/FxlrVnyaDxqVtuQlMiLFs4j3XJDkbNuJEZ9QaPzXoZNA1vzelccZqNB37zHNPv+DTxNQvoSNlJO3zcdvPlLHr9eWLDihlpa+PlOavRHAaN069mjNLKL59Zy+c+eyGb5i1k0FXAuInncM7UEad81VFNhcZKmD4WnPt38jqhVI2DJuk+EMWOy62AtW9yV1EA06CoZiT1riXc95dnGdbYyKeuPo3+be+wqrmb1vRsZpsmYGIW6PTGDBqKdpXYtsjmVD51y43ccv7InTFr+Avd+bYVFXVnjzRFUbHbVBQgp+tMPOscLpg8DAW44/Kp/O6ddSRmztw9zFVVVex2G0b/dlZEfdxz8/mUO6D2xhsZflYYv2PPleso8GCYWWIpHd6TFEv0NvPquyFGF/ajlozms5dOwq7ATZ++hjf++wE29SWw7Z30VlTUXIzZq7axOe7i53/cBopCLKnT0tZN97o1TLnkMmaOz4+v/uH3vkzGGaDMFcNT4KS6MohD01FVDbsN1r69ilEzL+TSKY0owJdvvZjb71tOMjMFRXFz4eUXctqwCkzPWFiyAN3u5KxJI3jllX+wo76G8847h3JJ9AkhhBBCCCGEOEkN2SfeTCbD3LlzicViWJbF6tWrWbt2LQC6rjNnzhyuvvpqioqKDtpGLpHG6Sja3UtIsfsZO2kU7771OJkJF/Ll88fz4H3fZXXHtdg1BbCwTAt/9SjOqLB47v5ZrD/nMjS7nbMu/SQzC5v44Yuvojb58Y65hlsvrOeXP72P9YUNOIONnDflNFYlwlRoJg/e8xJtV32CydMm4DljCste+zUzbvlfJvlauee+FymeOIpgw0SmjBnB2nnz8BUHKa8oPuUTfbs47BAsBPuHLKdS4Dw2uT5UN4VFBptbQ8xs2FX0wqStJUzj+cXYfBX84D+/yob1m5g7fxE/uifOXZcHqWwcw6/+90v4bQrJUDsvzN9EccG+V41lgdfrJVDs2++wpmmhafnEoJFM0pPOoiqgoJDOZHcn9gxDR1G1/eYUxAJFs6GZOsbOE6HYFJqbtuEvLaOyMF90w1FSxdRKB399aTE/+uzMvSPg2b8+y/ris5hWaien53bnOxXTwDSV/N/ifhM0KqAV8OWv3snVE8sAndn/nEOwqoTODQqZnL57y2w8wtodKSrH5V8b9n4MlqVgs2lk4ns91lw2/1gBPAUES7wA5HQjnwg1bVz+qU8zvbONxSvXc89vHsb2vW8wve7wi5UIIYQQQgghhBAfFUOWm1qwYAFPPfUU5557LrfeeitlZWXMmjWL888/n2uuuYatW7fys5/97JBtBMeMxYivZ1VLCIC2lXN55LHXcbpLyITD6Lk46YyDQqdGLmdgWRZYOVbPXkBHVKOmrBTVMMlmEoTDMSIDA9jwUlRoIxENoWei5FQocGj43E4UUix66S0G8VJdXAyGQS6TJpszcNochMMRkgMDmKoXu2qjwOUFPUHD+OlMLIcn732S9FCd0I8Yy/pwzNX3XseuSIidqy47i9eefJS/zV7B8rWbePTPD7JosJgrp9fSseZtvv+HFzB8pYyqLSEdS1IxYiy1Rj/3/n0eqzdu46GH/87SHRlc9n0TcoZuoBsHrmAbDDpZsngZy1Y38eCzs0kkzd1FSDYuX8ysN1exbNlSfv/CSk4/azIFmk5O17EA0zDI5nKoJY2cW53lZ/c9z/I1W3j8/kd4aF4Tmk3bcyDFwW13XM/gqtl8957neHvVFpavWsPvf/kHZncV8rXrz6R27Gn4Ui386ol5LF+zkd/d9zec1eMZGXCTzuiYO6uy5HJZDLuP686uZ9bfnuPtdduZ//prPPDyCpweN2fOnE7TnFd4et4ali5Zwv/84kmaoxbYVdKJOO+u304ya2AaBjndYvLZ0+lcOpdHX3+X5StX89MH3+CMaVNxOTWy2RzGrgvPssgZQDrMH379J+a3ZRg5oo4CK4duHmmFYCGEEEIIIYQQ4sNN+8EPfvCDoWg4mUyyfft2QqEQW7duJRaLUVJSQn9/P+3t7ei6Tn19PVOnTj1oG6rDx8jhlayY/xovz36TiFXCVVdfzujhwxlYs5CXXlvE2Jmf4szGIjojMGqYm4wtSGNxjrVbd1BdU0wuZaMkUEh/1wbeWdPBlVfeyKRJw+hYM5tX5i7lzIuvZXK1g3BMYcS44SRCzWzpilJb6sbQglT7MyxcMsDVV1/EspefYsHGPi654UZK1TSDio/TRpbTvX4Zc5ZtZdr5lzOyPnjCqoNaQCproB1hCtewFNwO7QNVTz1gHBZs68wP5d07f3QimBbc+xIs3gjTR0NzN1QHwOU4+raDNQ1MqvUy/613mL10E/bSBr79hU9QW+SiMFAGA2389aVFdJk+vvq5q6gs9nPm1OFsWb6MF+avxT98Et+67RIKHfuepFBXL97aOkZU7t/rtaq2hr6t6/nHoi1MOfcMhvt8jJkwAiPaR6BxNFbnZmbN38hZl3yc2y6egJJL094bZ9KUseSi/WTd5UxrLGfS5LGEt63lmTdXkvVW850v30BN0b7z8zkKA1xw9nhS3S28MncpSza0M2zi6Xzzs1dS4bWjOLycOame9UuW8tKiDQSGT+Lfbr8Yn0Ohu6OHqjFjqHQZ7AjlmDp5BCNGj6LE6GfWK4vZEoavfOEWptYW4Q1WM7nWxauvLWDBhi4uuvoqPn3haWg2G+nedl5e2sKZU8eRjfZTMWwMDXU1nDHSz9w33ubNVS1MPu9CPn/VdByqTltXPyNGjabK58DKpWgOZ5g5bRIjSp289to85qxq5+OfvJqLJtYi9TlOrJxhoRumPA9CvIfzGHWJf+SRRw572zvuuOOYHDOSMvAXHP37iMPR3t5OZWUlNtuHbAiBEEIIIT7SOjs7CQaDOJ37z19/rOVyOQAikQjJZBJVPfxkjqIolJeXHzROxbKOXV+n9zqcppXDeEe4dzu7tt+9TFFQyCeYFGVnIQbL2muoZn5478H23/u+ouSHH1p7NkbB2tm2coB9ds7RtmufnbGcKKYF4XgWh3ZkT2nWVAl47Ef9Jt0w4bXlcNGUEz9nn2XBT57KP0//8SmYvRLOGAV+77E8xv7X15Es32f9Ia6lva99dl23WFjW3te6svt5tN6zzd7LDxXHgeLdu91DPZ49x9z3973/vt57zD3t7B/jrr+/A5/HAz3W/e+/9zVDnFjJrEk6m8Mmcx8IsQ+f+9i8sbzgggsOe9u5c+cek2O2hLLUlziOS7Jv8eLFTJkyBZfLNfQHE0IIIcQpY9myZYwePRqfb/9ptY61ZDKJZVk0NzfT19e3e8quw6GqKhMnTjxonEP6dejhJPKOtJ33Lts9r9/OO+9Zexj772pg/333rDrwMSV58OGlKPDvN+yVDB6C1PbBrvMPuvyI1u+5CHf+eqhrfd9E3eH+fR5JvHsve2+8B2vtA7VzGNu/3/5CCCGEEEIIIcTJSMY+iONiyUbY0gmn1cOU4bBwPbT3QmMVDK+EBevhyun5nndja6EmCLNXQDID50+CkiOspWCY8LNZ+f5u370JJN8jhBBCCCGEEEKIk5kMoBLHxapt+aTewvXQ1gvvbgGUfBKvJwKz5sPa5vzPjv580i+Vg9oy+Pv8fNLuSKhqfo6+qpJdQ66P5aMSQgghhBBCCCGE+HCRnn3iuLDboKE8X7hjMJkfTtszkE/iKcDkRvjHYhhZnd82loIRVdBYAfPWgGlyRIVHFODG8/YkCyXXJ4QQeWpbK7Z/vgKahn7pxzHr6k50SEIctr3nUhZCCCGEEPuSZJ84Loo88MSbUF8OY+tgTTP0RqArnE/oTRuVTwSOrAaPCy6aDH97Cxasg8tOzycAj4Rlwf8+lk/2/fwLMoxXCCEAHA89gP25Z3fft7/wPPrFl5D55l0nMCohDp/D4SCdTuNyuWROViGEEEIcE9lsFpvN9oGq4n5YSbJPHBefnAG6ke+dZ1hw03l7imUoSn6OvvMn7rkP8JUr80k62+EXpNmPouTn/NONo4v/YEzDwLAU7DtLig6EI9i9hXgdRxH08WIa9IZjFAf9HGnR5FAogsvrIhnLEgj4UE/yz1vRaAQcPooKPvov/vsy6Q8N4vH5KTiMi8HU02xvjxAsD+A/nB3Eh4q2dSv255/bb7lt9hvoMz+GMfX0ExCVEB9MRUUFPT09KIqC2+2WhJ8QQgghjoqu63R0dOD3+3E4HCc6nKMmyT5xXDzwKsxZCc4D/c3sNQonlYWvXQMzx+cTdUeT6Nvlsml7HeqYjfgx2LZpO80DWTQV7A430yYMY9O6zRSPn8DokoJjdaCho6dZsnIL5158BiVH9BnJYt3azVSNrmFTUz+XnD8R5/u0ExuMU+D1sGbVRurHjSLgOrwnOBWPg8tNge3EJtm2b92KFRzP1HrX0TVk6URiGfw+zwfeNRYbpMDrw3bIc20wEE1SXJSvbJNLD7KsKcSZU4Zx4DNusHrtZkZOnk6d//1jiHd2sqYry+XVZR84fnHiOX77q4O+GDqeeJyUJPvER0BVVRUA27ZtI5PJnOBohBBCCPFRp2kagUCA2tpabLaPfqrso/8IxEfC5OHgduYLZryXYezpeWeaUHeM8wdD8V1/d2szTSG4+MxxODWLte+uZk1rGKfDRs+ODqJddkYNr8HvtNiytZ1QxmJkQzUBr52OtnZaI1nqqiupKXGyfXsHoQyMGl6Nx0yyvrkPnG5Oa6zYndCx9DSbt3UTs2ycNryCvs5eSirKiPWH8JT46e3ooi8NI4dV4TFTtPXEiGd1ygNe+kOD+MsqqPMqbO3sI5nWcfqKGVvhRNNUNAXCPd1s7U1SVlFKQ+me0seDoT6a2qN4/H7G1QdJR8Osaw3j8hYyobEMTVVRFAVNVVEV6GnvpCWSoba6nKpiN5HeXjZ2DeIPBKjzmbz05gbGThmPp9CDw6YQ6e1hY1eM4mAJo6tL6NjRyWAmSyyncdqIGjx2BSObZuGid9ErR3DpmFK2bO8goiuMbaymaGevsvjAAGHTTl2Rg+auKNXlXrZs6yZrdzG+sQIzOciG1hAOt5cxw8r2SXhZlkFrSwddcYO6mgqqimBba5hEKofN42VcfZBwVxfbBtJE4joV5XuuqGxikHXNfZh2FxNHVBDu7aUvZlFdXUyqP0R7TGd4QxUBt8LmrR0MZGHUsCqM/jZeWt3H5RdOw5OOsLE7RklpgOHlRbuCoruzk+ZQhrKyII0VPhQgHR/gtTmrqJ86lcllNpq292I6Chg/vIJ4qI/NXTHKKoIU5SK8sKSVC86fTn2xE0XR8HldpJNR2rsTJJJpikqDDC8vZEfzDnoyOeI5sNkgFR1gw44B3L4iRlS4ae6MMbzaR0tPnIaaIJqZY0tbP6Gkg6yuM9DVS2skQ11NFVVFFptbwlg2FyPqg/IfzIeQbf5bqC0tB12vbtuKMjCAVVx8HKMS4shUVVXtTvoJIYQQQog9TraxaOJDKp2FVObAt5nj4faL87c7LoX6j0Bnoa7OMDXDq3FpCgoqE0+fwtT6YjKZDGnFic9MsKa5h9bNW2mNQX2Jytsrt9LetoOVbXEaKwpZtWYTze3drNoewu+xk00lWLBkHQlshNq3s7Cpd+fRLNasWE9z3MSKhXhjRQuakWL2wlVs7kuiD4bpiOsE7VkWrtxOqL+HFc0RSp1ZZi9vobTIxaq1W4nGBlm4uo2y0mJ2bNlCS18Gm00l0d/NmytacblsLF2yhrZoDoBsfIC57zZTXRlgsLudjr4oi97dRml5gEzfDlZuH0Dbmb1VVZXQjjYWbOzB44B5i9fT3d3DvDXt1FYF6GlrZ0A3cbtdlBe56ezooT/UzcJ1XdRXBejYvJXtoSQb128hZLqwx0Osawvl27bZKbA7qCjzsqVpIz05J3Uek/nvbiW3s3NStKeXTZ0RyGVYu62D1rYWtoVzFDoU0qkk895ZT06z0b59M0u3hvd5LrPxCC29Sap8Fm+v2MZgKsHbK7ZTFPDStq2Ftq4wb69vp7rMj5nV2V0Y2sywYEkTDn8xznSEzV1hNm/ZRn/ORqKjlXdaBnBrOd5YvIGe7h56UgYlWpr5q1pwOV14igpxmVFeX7Ydh9PGymXr2BpO55vOJdmyI0JViYMVqzfSn1+Mw+HC4XJR6dN4Z8k6IpZGpKONBWvbWL1uO4rTCbqO3e6kwOMm4M0nQ009RUvHAIPRPhat7aKizMW6pjZ2tHayYscgNcFCMlkDKxNn3pImLIedbRs3s74rTrSng38uWkdcV/P/YSgaZcVeygJFpPs7WL4jTmNFEStXbaIzEuKd1W0U+gsP0oNQnEhKIo7jgfsPvZFhYH/91eMTkBBCCCGEEGJISLJPHBfdYXh7Ayxu2nNb1ARLNuUr7yrKnttQUuCYzCvn9jgYHEjuvh8f6GVz+wCa3cGwujLKCwswzSy9kRQ1VRVUVlXh1FO0dUcIBMuoKCuj2G6QNJyMqS2kvaOP3nCUnkgOm02jKFhK0a4hrpZJV/8git2Go7CI0kIX1cMqGejqpaiinOIiD1ouQ3coTjqXw1RUKstLqQh4CAZKqC4vxq6aZCwoDQaoKi2mutjJQCSFpqlEYhESuh1F0aiuCqLt7AuZiMXI2j3UlBVz5pQxeJUUccvFsPJihtcU09c3iLXzCVNUhYH+AdKaDUt1UFtZTHJgALw+qkuLOWfqSEoKHbicdrwFTlRVJTU4iFpYTGVpMXUBBz0DCZxuD8Prywl6nGQNY2fbGi6HA5/bRngwTW1dFVX1FVjpBMldczEqCnabBgpYJpQEyqkuNGltDxEajNE3aOS7ZZeV4bXv+7Jnc7oo0Ew6+qNkswa6YVESKKOhvASPUyMaSaG5fVQHi6krL0TZNfwxk6Qvq9BYU8KECaOpD7jR7C4aq0qJhaPoNgfYC6gJFuJ0u9GyabrDCdLZLHaHg0JPASRjhA0VVdGoqizFoeXbVmwOfG6N9t4wmaxBTs8fUtVsuF0OvDaL7kgSza7hCwTxe+w0Dq8mFw3T2hdHc9jxFDjw7H6sCqqqAAqVlZVUlflwqAqhgSQlpQEqgmVUlbjJxhL0pQxUVaW0LIjH5WJknY9t7Qka60vyV4ai4ilw4PU4SQ/G8VeVUV4WJGjL0ZfMUlpWRlWRc0h61Iqj4/jz/SgDA++7ne3ll/JdroUQQgghhBAfSZLsE8fFJ2fCg3fBn76x53b/N+Der8Fp9ccnhngWshZEMpDIHV1bw0c2ku1p4d3N7Wxr2cGiVW0UFBZgmRamZWGYJrqhUltRxPbtLWzYtA3DXcTohnJCPe1s2NrMgOnEX2ASTlq47Ra9MYMR1T4URcFMJrB2jXlWVBpqSrGbFnYjjWFabGnawfCxDXRua6GrO8SOQZ1gsQcjnSWe0cEC0zCxLAtMC9O0UFWFcKifpu0dbA9nqSj1kM3qBErKCHrBYVdJxJLY7fk0ja+4GK+VYO22Dt5cvJaw7iLgzLBiSztrtoeprS3BMgwsy0LXTcpqyilSocAOiUSa4opyHIko67Z1MGfRevrjJmY2S08kjmGaeEuC2OL9bNjWztZ+nYayQgzDxDRNDNPKx76TgkFXf4qq0iK2btzKunUtOP0leHeOE3W7HQyGw6zd2Eo0axGPRdEVJ+TiDGYdNFa4UTWVXCKOZlNYsWw9zZEsAJlknOaeGCVFPlQ9w2Aqf3FYWOQMg8JiL2o6wrrmDrZ2RHYnOHEVUl+osaqpnXeWrmVzzyCqCjkTKmrL8VomLs0gnTXJRCK0xQxKi93k0llSukEsOkiuwE+tV8NpV0km4tiUfILXzKXYtiOMr6gIl6UTTWZ3nggFPZuhJ2kxrKIYzVQgk8A0Idwfw1Poob83RBqFVDxBf2JnlpD8NWBZFqaZv6/rBmXlRQx0dbGxpZUdfXGc/iLqS9zYNJVcKoGVTbGhLcnpI/0sX9u+u1ejaZrkdJOSilIire00bW2lDzfVXie6Ye7p/Sg+NGxvL8Q2Z/ZhbasMDKCtWzvEEQkhhBBCCCGGimJZx65kwYEMDAywYcMGxowZQ2FhIStWrKCiooKGhoahPOwpybQgHM/u7h30QWVNlYDHftS96wwTXlsOF00B5wku1BnNwMJNsHo7tHZDNJ6vCOzzwrBKmNQI544C7xHEaeYytHUPkDYVKkpL8LvtRCOD2D1e7HqGQUMh4HXR09PHQNqitiqIx64SCYfpimapKA9Q7LbT39tPKGNRX12Ky8rS3BHCchRQX+HfMxTSMujo7Cdu2RhW6ScWTeAv9hEZiFDg9TDQP4Bhc2DHwu7QsNlc+JwmoaRFaaGDvmgSZy7BnHVdTBpZhbPQR7XfSV84TkmJj3Qsyo7+JMUlxZQX7Sk+kUnGae2JUeArpDbgxcik2N4VwenxUldaSGRgEIfHSSKRo7TYy+DAAB2RDGVlJQQ8DlKxGG39cTxFRdSUuOnrDZHVnBRoFoVFheiJGK19cYqK/VT6CxgIR3H7fVjJJGnVjt+dr+iSGIzSk7AYVuGjq7ufmK5QXxXEpSm7z097V4gcNjwuB6XFBXR09JPVnAyr9GPl0jR3DqC53DSUF7Fm1Tr8DSOo87sAk57uEEnsuFULW4ET04BSfwHhSAxPoQ8jEaU9ksHndlJYWIjHmU/EWnqGls4BDLuTxko/sWgMe0EhbodCqC9Eb0KnqiJIkUthR0c/2B1olkVRUQGhcIzC4mLcZoqW3jiFxUVU+d27z/1AKEwobeFzqOB0U+ZzAhDqC5FQC6jz22npCGHYnQyrLEZPJmjuGaQ4EKDMp7GjI4TLV0xpoR3TyBEazOJzq8TSKsEiG33hFIESL9FQiP6URVGBE39xIVpu53PsLaSqyMZAwqLUZ6d7IElZwIcK5FJJooZK0OtiIBSmO5alsjyI32nSG9UpLXa/b8++ZNYknc1xgmuunBLUDRtw/eC/UVKpw95Hv/QyMl//5hBGJQ7G53Yek3YuuOCCw9527ty5x+SYLaEs9SWOIe+lL4QQQghxMkgmk1iWRXNzM319fWja4U+GpKoqEydOxOfzHXD9kCb7+vv7+eIXv0hBQQF33XUXI0eO5Dvf+Q7bt2/n7rvvZvr06YduwMryzvw36eiLg+Zg0pkzGVG176ThqZ4mHlvawxevPj+/wBjkgfsXcNWnz6GnJ8rEUQ0H/dBppqMsWbyI3qTKtLNmUh1w77fNlncWsi5VQZm2AaV2BucMKzmsx97X2kpEK2ZkzYFP/FCQZN++tvXDr/8BazZCLgPsGiZs7SwAbIHDBWeMh29eBbUn+Xz02WiENd0Jpo2uPtGhnHCZbBa7zb5zaKs4ESTZd3zYn3sGxyMPf+BhuWYwSOovjw5RVOJQJNknhBBCCHFqGMpk35B+zNq4cSM2m43HH3+cadOmUVRUxH333cfFF1/MnDlzeN88Y7qPJx6eg79xFKMaynjubw+wuT+NbpjsGoZmZBK0dfcxGImQNQDFoLWll3RqkKbWDhTAzCYJDwzu23S0jT8+9CQpZwkNFT6e/ct9LNqSLwiQTQ4yEE0AkAiH6OpPEg51EU7mh8RFB0KkcntiTw4OMLhzmN3m5a8xZ80Owt1dtPbEAUjFI0TjOyfeN0wMPUckEmFXC6lYlMFE+shP9IeMpubnxdNO4Id4C3h5OSxZBaaerzJq0/IxaVr+d5sNjBzMXwaz1524WI8XR5FfEn07OR0OSfSJk5qSSuH6r//A8dCDRzT/ntrfj7phwxBEJoQQQgghhBhqtqFqOBaL8f3vf58bb7wRZa+veBVF4ZJLLuHOO+/ksssuY+rUqYdoRcHlKqQkECSgxlGx6Fi3jNfanHz99jH89tdzuOnmYYTbNvCP5wbpSDm4GIshYwAAIABJREFU89bLcTpsWHqavmiCSNdWnnzmn+SyOcpGnsGNV89EA1a8/DrBkedxwTnjUICqIg/NsThdm1t49uUFmCiMP/9qyhwOtJSCqmrYNZOVc59n+fYQmAVcccP1xDe/yUtLm9HSGc656jrWv/o0Gx2X8YlJRQx6dHasXcDzb6zEtMP0S2+kpHctj85vZlhxHGX4xVw5JsVTzy/GX1HHxZdfQZXPdYjz8eFkWtAfAd3MF8AwLOgfhPb+nT37DpLTtcivDwxB50cLsDQoKoRU8iDb7IyrqAhkKnohxMnE8cc/HNa8e1ZpKUpf3wHXaZuaMMeNO9ahCSGEEEIIIYbYkCX7FEVBVVWMA/QoMM184QBVfZ+uX4pKMtbG3Nf+id9h54Krb6Uq2cJba1KARXQgjm6YFLjruPWOO5j7xN2sbGrFZtOw9DTReJS3XniF0glXc8PHKtm4qQXTAk2BcNjAPyqwe4hv6YjxeJMpnnjyL4z/xL/zsYp+fvrQ3zm7bmK+B5CikevfykP3vcCI86bTt3U1895poGf+Cq7/f9+jKrODHakCxkwaR+Pomdg3vE0kN8C8DbO55I4fMFJfzb1PvczUhmIKqifw+Rsq+a9frSTT4MVU7QxrHI7PcYInuDsChglvroRcbq8qtxYUOqGp+dDVdVUFkllorIKJjcc2LhXQcxAIgBKAWAyymXy8kO/d53SCrzCfnMxlju3xhRDiRFF7erDNe/9hmbmrrga/H/vjjx24ndbWYx2aEEIIIYQQ4jgYsmSf1+vl+9//Pr///e/56le/us+6OXPmcNNNNzF58uRDN2LquIvG8Nkv/Asl5BOI3Su3opomeqyPvv5QPmGUiJMzLeIpgyKbhq4bWFY+iVPgtBFJJsHI0NXZQ/2oMdgVmHROA0+8M5ezx3+KIpfJvGceYyAwGa/DSTKZRE+lUBUHGia6YWFiYKFRXjOcK2+4kcH1b6OXl9CPQSJlkksP0hPKYuo5dF3HsiwsFGyKQiKZIaUnQXWi4MTvK0Yx9HwlU6WKiy6p5d3ZT9GNn0+dcZxK0x4jA/F8r74rp7HP3IiKsqfn3KGksvBWE4yrzw+tPVYsIJ2B1lbwF0FhYb4H3+58pAU5HUJhiAxCZuyRHcc0cyRSFl6P430LEryXns2QNjW8riH7MxRCnIJsC9563230c2eQvfOLaE0bONjXTGpb27ENTAghhBBCCHFcDGmWYfz48RiGwU033cS3v/1tRo0axbe//W1aWlr4yU9+8v4NqE4aR1SDoaDsjDQwchyNC57gsVltNIwdRYG7iBH1Tp544D4Snml8bsIImld0U+DyUhMMMuNj5/HMM0/z898kGXPGBewsoknt1Eu4ypjP04/cQzyr0jBiKpfOnIrZW8jTTz/O7zJ2LvnkrRSHttIf8xDQyrDVj2P0LYP84/FHcHpKuWHqMGr/5ePMeuJ36Ni45JO34E418sLsd5gxPkiFO8DZE2/gqVn38Jbdy+U33IyjeS2V2QLQbDQ2lFEUcDN31vMMKFXMGB4YuidjiJgW+D35n6b5wfffNZR3KOb3szvzPfgGB/M9+xRlT09Dy9pzs9vA5sjHcvgJO4N02gS9j7krklzzsREH3TKTSuMocO3XdqijmXWxIi6aWLnPctPIohsaDscxzH4KIU4JtnlzD9pTb5fsLbeSu+lm0DTM6pqDbqd0dh7r8IQQQgghhBDHwZBW4wWIRCJs2rSJUaNG4fV6Wb16NWVlZdTV1R3W/pZl7TPn365luxIziqLk7+/cbtf9/M9dPcwsTAtUVdkv4WJZBoapoKnqXomgfPvqzgX5Y+06ooVlmqCou+OyLBMLZef2FpZpoSgqlrJzj33W70kq7R0fOx/L0TgR1Xh7o/BuE5w95siSfbqR79n3sQn5nn3H8mJ8Ygks3QChECST+fh2Xe2Kkk8EejxQ5IeLT4fPzzzcli16W7fz1pY4504O8O7aQcYMK6ag0EdNwE1vdz+9SZ366jIcuSivLNzIuGmTGR3MV3vW00m2dkVIRXqI2KuYMdzLtq4ITo+PhjI3G1auoVn3cdGkOnp7+klhp7EmgEMKSoiTiFTjPfaU1hbc3/z6IQtyZP7zu+jnzthnmfvmG1ES8QNun3z0Cazik7xU+YeMVOMVQgghhDg1DGU13iEfP+j3+znzzDN33582bdoH2v9ACTBFUd4zZFTZrwhI/uee+9pB3ngqirbf8NH92t/rX1BQVO0926t7ba+gqO/ZY5/1ey/fN95TkaLAQAxWbuOYfuhXNOjoge4eKCuF0lIw9D0JSVUFzZafa7CrG+IH/px7UGbOQlcUnHaNyMAAuYZCmlZvxhpTy6aWXqoDdua/m+CS8UEyOXNPLz1TZ/HSdTgrqsnG05jFBhs2bMfwFdPW1IRpn4yZNdEK7PTtaGF70oYn3cPSRI4ZYysPHZQQ4pTm/PP9h0z0WT4f+lln77+8qgply+YD7qN2tGNIsk8IIYQQQoiPFJksTJxQpgWVAbjsg+WAD8uGPpi7JF+N124Hhx125WkNI5/oy+XyVYQ9ng8yjFfB4ymgpEjF61TwlZQxblgVXTv6wF5AsNBGOBInNGjD5nTiL3QT9OV7api5BKG0nWtGVRPzplgdhtKyYtpCMaLxJPG0QnFhAWmPh2CRm654PwPRJFk1fexPkBDipKH296OtXnXIbbKf/Vy+S/N7mJWVqAdJ9n3gb0KEEEIIIYQQJ5wMoBJHx8pXuFWVI7tpKuh6PvmmcGxvH58I0yeCaoN0FgbjEB3M32LxfAEPzQ4zp8FlEz/IfH2AZZFIpEhkdSwUwMQwLeKRKJs7Y5QFfWBkSecMstks0WQOANVWgNeWZcOOfra0hciaOlu2tkOBl2KXjVQ6i2maxBJputo66czYqSx2oWd1unZ0sqYtfLTPmBDiJKQ0bz/kev3cGeiXXnbglfaDV4JXEomjCUsIIYQQQghxAkjPPnFUCpyQykFf9MiKbPRFwenID6s91kaWwY9uhUWbYflW6A3DYCKf1CvyQlkJTB8FZ40Ev+uDte0NBhgeM8kYhUwZ7QM0xo6qo6TEj03RyapOzhzrJq3YmTCymvRgGtx20BycO20MG3aE8VbVUlNYjKfGzZbeFCNGjySn6ZQFahjoSRKsHU5jZz8ebzVjdQVTtXCpUrRDCLE/9RDFNIypp5P59/846HrL4Th4w4cYFiyEEEIIIYT4cJJknzgqhQVwxlhoagPlA1TXUBTIZAE1X5xjqGpPlLjhyslw5SSI5yCT72CHyw4eO6B8wB59OymOAiaN3rfITG1VKQAjR+y7vGRY7T73C3xFnH5a0d5LmFqyb/tTivwATPJ5jiA6IcSpxiooOOg6Y+rpBxy+u3tf/8Hn5FP6+48qLiGEEEIIIcTxJ8k+cdQayqC+7Mj3H+ryJMrOfwod+ZsQQpxszEmTweGAbHbfFZqGccb0ExOUEEIIIYQQ4oSQOfvEMXE0c+sJIYQ4OmZ5OZmvfi2f8NtF08h+6SuYVVWH3NcqLz/oOjUkPfuEEEIIIYT4qJGefUIIIcRJQL/oYszxE9CWLQXyw3ffL9H3vmTOPnEyMFIM9PWyuTsFgOZwUVZRSV2JE1NPEWoeoGBkFd6hOLZlYMS62ZYtZVTwGAwvMA0yiRTOwiGJVghxKJaJGe+hqcOiemQV/t0zZMTZ0dSNVVZLRbETx2F2p7FyKZKRfiKeWqrdh9jQjBLJFOE/+IwdQgixH+nZJ4QQQpwkzPJyclddTe6qqw870WcFgwddpwwMHKvQhDhx4tt5+8WH+PR3H+D7v36YH97zJI+/uoJtGQsr08+7sxbQMVTHNjNkm+fz1zWxo2xIJ5uOsXnZBhb883WaevqJZI5FgEKIw2Zmya5+kq9/7zFe6chh7pqvPLyIP/2/H/OHeb30Zw+0o0UmmyOT0fdZqiT76Vw1h/ldBz+kHu2la+OrPP9WMyu2DJDR5Us4IcThkZ59QgghxKnsEMU7lGTiOAYixBDRDUpGTOLf7r6Or09RIdXGshef496X6vnFJ2u44BvXoKET74uRs2WJxBVKgh70gRiDlouyMh8eu0puMExvNEXWUUhZSSEeLUMymWYwqaNnTFSvj4piJ2Y6Rm9vnIzNQUkgSNFp1/EtwwmAmQzTHsqgY6e0IkChXWcwnMbUk0SzFi5fMQGfExJR+gfiJNQCSoqLKS5I0NX0Ns8/sIxWewzXph4u/OxXuLLufR67EOKYUh0uxn3MQcvCHeg3D8OhKPTMb6f+/Gp6Ak5UBcxYmK5IiqzDR3mgELfWx/JFGxnQg1z4sZFo6Sj9WTuKvZQR591EjQaYOeL9/fSmFWzuQqoCHmwKRJfP4r5F/ezo3shLxRP56dcvYXi59OwVQrw/SfYJIYQQpzCrJHDQdUpr63GMRIghoihYpkEmlQS8UFDBqJkzmfibRWy66gxW/8eLjPjDJ9jy34/QOjnJP2cnuPTmmaivLeal/mq+9fM7uHaExdp/PMbvXtpAe9XZfO3z13NdxSZen7OIpxYm0XZEsM+4nLu/dQb6kll852cr6Ksfzpe+/hWuGXyAuzpv5IHritj64v38+wtdhP4/e/cdH0WZ+HH8MzNbk7CkJwQCCb0Xkd4FwYq9HIi9lzvL6dlOf96dZ71Tz3beWbGennpYUFGMFBXpSFPpvSSQ3nZ3Zn5/hN6kJEDC9/16+ZLsMzPPs0N2mP3OU6IJjPr9zVzRfT3v/W0SxZGlfLkinyYnXcMfRrYm8vV/efyN75iT3ptrLz6DS7om06RLX0ZdG2bMF2VkXTGCk/Y+3aaI1BTDxMnuQpsFs1kfzaaxbxWT1jTi+PTlTPIbWE4+sz98lSfH/sy6Rn255eqT6W3OZdr/PmSCpy/l5NN42RgeXNeVrMbJ3Jo0h0+a3cp1yT/yzkMv89oKH/Hte/PQ78+lXcggafAN3BR+gQcWZXLXpSfSLOQ90mdARGoJDeMVERE5hjkZGbjBPU8EZJSXY65de5hbJFLTLAw3SJxVRDkm3oAPCwNvoJyMoX8h5x/9WZhTwSlPP8a7I31YrsP6yWP4IdSbG//xAh+eY1G4bD7T13ooKI4j44SLeOmFy7ipxXpmLiyhstjkpIef4KtnbubcZg624SPgcWHzBP75Q0f+9dZTTH6pH0s+msKasgrMvEKSzryDT56/iE6JUfJ+msViXzNOv/nPTHzqckYdVzXUvnLNZoorfbS4fDDxP87FOcJnUeRY5GJiuI04vtkiclY62Mu/Z3F2e1I8QfweL6Xffsj3CQO55ZkXeP+MKOsXLmJRWhd6X3QZN505jPM6B8gNZNPrhDP5xwXNKXW8eMqKWTf1K346+SEmffA4r/TMY/qKKK4L2D/yVXgoj/c1WLu5koLIkT4DIlJbqGefiIjIMc5tlImx6Jc9lhkrV8ChLvQhUgNc1932345M08QwjJ1eMwC2vVZJOJzPJk8aXXDZvncjOmS7sDmGjv3bk2WCFR+H1+9jU14+U/77T55+9mU8TpjGg1JolRKmUdMMjNRG+JyZVBoVFAXTaNQ+m9xHbmZQaSajbruei0wDHAdWLKey32kk2EC9TvSPjGFzNJ6SzPac0MCHUc9PeWkZFcEunNjkB5594S8Me6U1F15yPlf3ScffMIuWDbNoCZC+9259thbWkWPQnj73+2tv1xLDMDDNXfvGuIBLZs+W/Pz9SpZG19KqXyreeRaGYZKXu4nvP32O5571YtlhmgxMp32vYlzbIWLbEHVIjI+laRM/VEYxTAhXuuStc+l/TgiA5JOvYRQmpgFYHbnwDIBsBhzUu9tO1waRX7fnz33tpLBPRETkGOdkZ2PuJewzf/4Zu2evw9wikV+3Zs0a1q9fT2Xl9pUqotEorVq1Ij09fadtXdfFsW3ApWzdcuZ+M4Vlgy4j2y5g5vatqnrSuC7eoB8McF1wbJvUjEYMu3Iwf+jQgbZJWwKF9d/y0RwbZ2tA4LrYDgSaDeT3Tx/HqGWTeOzLnzF7GmCa0Lw18aOnsnLo6TQvnEJObFNutfwEXafqGFsOY1dGsdqfyG+fGMBJH09k+YqFrOmTTsP9PC9Tp07FcdTvT44dfr+ftLQ0MjMzD2r/goICVq1aRUlJybbAz3Ec4uPj6dChw+47GAZuZhe6/udz3g834LxzLIIesKM2qQ0bc/JVp/DHjm1plbA1fFzLhJ9tXMfZ9jl3t3xEXRf8QYv0LB+vTVzH8FPjWPbBU7yd+Qf+0MuLdXD55W4qKiqYOnUq1j7m6RU51lmWRWJiIllZWfh8viPdnEOmsE9ERKSOMU0Tj8ciHN6/8T5O4yZ7LfOO/5LIRaP2uZCHyOG2cuVKysrKaN26NbGxsfvu0eP1UbRsPs+8/gWjgxZxKemcds5I7h2UQLgoH3bo27f1T9s7+Li40TD+7sPp8tZzPPiPvzMjmsEFV17GLV38eHao1rA8OIW5THn171z/ah6BZs259fe/xSmZBZgQ6s+NJz7O5aNuYJ2dwe//ejsNYleB7Wyp1wXTQ0x4MeOez+GRd+dT0rofN1xxDkMP4Nz06qVwXo4drutSVlbG6tWrWbFiBU2a7P3fsz3ZtGkTubm5pKam0qFDhwPoHZhFt0ZLGcOVJFkGHtfFiYYJ9DmDLm8/wwNPPs5sJ4PfXH4xN56RSfLKD3h96gLWDmvOcd4d6nAcjNhY0pqdTI8H7uO4F3y0Hnghj53rrerZV00CgQD9+/evvgOK1EHRaJQVK1awcuVKMjMz8fv9R7pJh8Rwd+2vLLWW48LmkjA+6+D+SsOOSVKsl4PsAS8ist/Kwg4V4QieutFL/qhimiabNm1m4YKf6DegD3bUxnXdfV7bzQ0bCF55+V7LK+77P+xu3WugtbKrUEz13FgOGjRov7fNycmpljqXbwrTJNF3WO4jpk+fTsuWLQmFQvuxdVWvvugOnd0sy8IyjaqyqIPhMXGjDobHwnAdbNeoKndsHMPE3LLIR9SuGvZrWhYeAxzXxTVMLKqGADqGgeFsqcsw8FgWJjZR18Rj7ngMA4/HwjRcbNvdMgTRxXZcTANcx8V2nKpjW1a19e4RqatKSkpYuHAh3bp1O6D9lixZgmmaZGVl7V/Q5+74eY5iY+HZcq2wMTFNA2ybqLPDtWLLZ992wDANTMA1TEzDxXUcHMPCMlycqE3UBcM08Vgm+tiLHH62bTNnzhxatmxJXFzNr3xdVlaG67osW7aM3NzcA+p9a5omHTt23Ou9kHr2iYiI1CGmaZKfn88Xn32Bz++jR49uRKNR9vVoz05Nw27TFmvhgj2We8Z/pbBPjiqRSOQAhtgYmJYH3x7vnw1MT1WBseX/GOb2cM20tq1mZ5gW3l0eUJjbwgEDwzCwAHary9rWA3D3YxhY1vZjWFu68hhWVUggIvvH5/MRiRz46hW2bWNZ1v736DN2/Dx7tn+ZNi22fWItC+8uH1/DtHZ6wLnlk46xbT8D0+Oh9g8cFKndLMvCtu06MR2G+lTIDlwitjp6ikjNcoGIve+eZnJoHNvhhEH9iPF7mTBhMh7Pr4cG0YF77wnmmTYVo6ioOpsoIiIiIiI1RD37ZBuv4VJUEa3W+SFERHZV1cPM2a2HjFSvSCRCzx7HM2Hid0yY8C0DBvQlGo3udfton774//VP2NNqfeEw1swZ+wwERURERETk6HBQYV9FxKUyWvu7NdZGcX4Lq4a+IBsG+AwH9e0TkZqkHn2H14D+vcn5ZjKTJn1H3769sPcU5gFuKES0Wzc8U6bssdyaMV1hn4iIiIhILXBQYV/AaxDYdSICqTP0PVxEpG7p07sH/xvzKVO+n0rvPj33Oq+R3aPX3sO+adOqev1pHjERERERkaOahvGKiIjUQT6fj2XLVlJYVMTXOZMI1Q+R1qAB7j5W6oh2687e1oI1Skswf/4Zp23bmmmwiIiIiIhUC4V9IiIidYxlmcyZM4/VazcQCUfIatKY1AbpdOvWlYqKir3u54ZCOK1bY/70056P+/NChX0iIiIiIkc5TY8uIiJSh9i2TXp6Os1bteSc886iZeuWlJaUsGLZir3O17ejaNduey0zV6yozqaKiIiIiEgNUM8+ERGROsR1XWJiYxh+xmlEo1G69zie2bN+pHnzpvtcjXcru3XrvZaZK1dWZ1NFRERERKQGKOwTERGpY1zXJRwOA2CaJj16diMaje5zvr6tnMZN9lpmrF5VbW0UEREREZGaoWG8IiIidVwkEtmvoA/ATUgAn2+PZUZ5OWwJEUVERERE5OiksE9ERER24iQk7LXMzM8/jC0REREREZEDpWG8IiIishM3JRU2bNhz4aZNkJZ2eBskIiIiInXa6uII60sirCuN0iTkIz3WQ2qsIquDpTMnIiIiO3ETE/daZji/vqKvyNHMdcEwjnQrREREBGBjWZTPlhQzblkxRWGb5QURWiX5qO/3cGbLECc0iSPWq0GpB0phn4iISB1kHEqa4fXu/bh5eQd/XJEjJVJMQX4eq2hMh1STSMlaFn75DXPLjC3BnwF0ZMiFbUkxDQyirP9xIjN/WkeJtwEtu3enXUYc3q0fK7uQtQt+ZObClRQZIRq16kyHDpkkKEQUkYPgUnUVEjnWLC0I89T0XD74uYgWiT46pQbpmhYktzzKzPUVjF9ezHXHJXFT12RiFPgdkBoJ+6LRKG+88QZr167FMAzi4uK47rrr8HiULYqIiBzt3GBw74W2evZJLbTia8b+bxyTOzzBc8NsClZP5NmLb2Jiq6bEuC5gYRjX0vr8NqSYBiXz3mL0v8cw8YdllMU1pkn3S7n2mhPplh2LSQnLp37FR++O4fNpP7HJjSO783CGnXUhI4eks+flbUREdmGXkZ+3lmllaQzNrnekWyNy2OWVR3luZh5vzS/g//qmcUPX5J3Ky6MOf5q8gT9N3kDjkI/zWtfHYyoW3181kr5VVFTw4YcfYts2+fn5lJWVMWzYMOLj4wEIBAKEQqE97rvip9n8uGgNjVt1pFPLzENqR+nmlWysCJCdkfrrGzsVzF+wnhbts3STJiIixzS33p7/jQYwtBqv1CZOOXnLp/Pf555mzPf5dOvrA4oJE0voik9Y+GTvPey0lrfv+DNLLv6I955uQ5AF/H3gnXzeKoWM7D5k/vweo8csxzfgIcY+0RCoYMF/3+ejz6ewcsiZND/Mb1FEaqnKAlYunMCDawco7JNj0uRVpfzvlyLu7bM96CsOO7wwaxMj2sWTEefloYENKIs43DNxPT0yYmgar7Rmf9VI2GeaJuFwmIKCAkpKSiguLuauu+7C6/VSUVFBKBTipZdewrvTMKEoOe+NZhVptMxMYdWssfz4c2tGnD4A03UJV1bgDwQJl5fieAIEvFbVXpVllEct6sX6cV0X3Cil5VHiYoOU5C1naWE8DRJiqQzbeH1eAsEgph2mqDRMKBSHXZrL2O9m07/7ccyZtYwmW8K+4sIiYuuHti1XHK4ow7H82+oVERE5JlXDarzm6lUYmzZh5OVh5m/GCdXHOa4rTnLyr+8sciDKljLu7Rf5/T+/o3GPIfQyAMJEivNY1TCN4pXzWZpbiRmbTIPsxiT7gcIFLC2/m8uHNiUAQHPad1nBDKOAKDD740U0at6J9n3iWD5vFpucOBoMPY87z/WhwXgidV+0cA0rVq+noMJHTFI6TTKTCVoGBlCZv4ZVqzZSYPuon96IRqn1CVpAtIS89atYlVuJL74BmY3SCMWk077vSD6tsMCNEi5cQ6EnBWfdElYXmcQ3aUp2cnDL99EoRWuXs2ZDIRVmHClNmpAeH9CcXFJrbSyL8tXyEhrEefjd8dvv/0ojDi/9uJkhWXFkxFXlRQ8PasCbCwoYt6yYSzokEPTseThvRUUF4XAYy9o9s3EcZ9uo02NFjVwfHMchLi6OuLg48vPzMU2TM888k4yMDDweD6NHjyYaje4U9pWsmc2kDVHuuuEUvIaB270t/3rwOX5p04D3Px7DcV160CJk8EnODFJTfGy2ErigR0fe+/BL7BgPx590LvVXfcKXvziYpZto2+8C2sdWUlZezvyp4/l+xkKmLFjLPffdwg+ff0hJhYfM1gM4PjOXN158mZTExhQWleFGShn33jssXFtEILUpI88dwPOPvUlKsxhWbwgz8opLyI4P1MRpExERqVtsG3PRIqzFizCXLcVcvBhzxfI9DgV2g0HC199IdOCgI9BQqavcuHaMuOc1RtxwA+M/eZdPS22IVBLZsJQVm0r4152v8K9xa/G0GsY5N97P7ec1o179ITyUA1BG7rLlFG6ayNdLRtHjrC5ks5IxkzNwG5ewwPd/3P3oR8wtb8CQkVdyzVWX0j9TQZ9I3eViF69i3GuP8vLr7zJxWTotBw3n5r/8ntNbxeMPL2Tcq8/yz+fHMCWcRueTL+WO6y9gWIcUiueP5+W/PcAT3xWS0eNK/nDr7zi/awmLZnzKnyZ25a1bMlj5wXU8bdxEo0/u5tGJETqO+guv/eV0GsVYOHmz+fTZB3nh7e9ZE+jAkGvu5bcX9aNNkuYwk9ppaUGYNSURTmu+82iStBgPMy5tQWCHQC/oMTmnVX0mrS7lnFb19xr2rVu3joULF1JZWYlt2zvNX+33+0lLS6Nbt24184aOQjV6dXAcB8dxsG0by7Lw+/3Exsbi9/t327aiJI+Y+iG8W/5CDDOONE+Y4vxiCov9nDCgP19M+ZKBo27i7P4dKVq/Ccfjo0vffmTHlfLxpNkUFRUQataLq8/tx88/z6S8rIgN+SV0HTCcfh0yOPHUETRJCJDVpjvd26cw+aP3iElvwaCh/ejePpU1awpZu/QHJpTF8NvbbqZpYAFfz/6JgsJShp53KW2DXuYuLazJUyYiIlJrGaUlWHNm433rTQL33k3Mb84nePut+F54Hs+4LzCXLtnrnH9GeTn+p5/C3LDhMLda6rKtt/lOYTGiqUo4AAAgAElEQVTllQ6mAbhQvLmc6DovA1+Zxc95G5j56kmsue0O3l8TIbp159LveeKME+jR7R7md25Os5bpgIdAzHTGjJ/Cpsa38NW8JWyY+ySn+hbw/JOfsPmIvEsROSwiZeR99RCXT+vO377byMa8H/lwRJjvZ62mzIYlL9/Ov/L7cveUVWxa/g33hiYy/oPPmB4tYP5Xa/Gn3M/3i5fw0W19MaZ9yRrXj9fyEfRbYJpEbC+TP1/Nye/NIjf3Q07NeYNv1kawKeXLux5mUYfbeOGHpfz03f00H/9fvvh8GmuP9DkROUiby6MUVtg0jd85G9pYFqXfG4uZl1e+0+utkwIsLwgTtt29HjM7O5uWLVuybNkyvv32WyZPnszkyZOZN28ecXFxx1TQBzUU9pmmSWlpKevWrSMvL4+SkhJWr17Nxo0bKS0txTR3rzYhsyPG+hUsWFMAwObl01hopZDVqD6+5PoEDBfDhXA0ih2OgGmRt2YF46f8QlxSOpblwfJ4SE9KwLZt3C13d6Zlkb90Jl/+BOef1QNK1jHluxxsfzzxMQa27RCJRnAdF9d1MS0vRCJgGITDDh7TJBBMo57fwI4Azt5/uURERI4lxorleD/5GP/TTxFz4/XEXHg+gXvvxvf2m1hzZmOUl//6QXYUDmNNm1ozjRUBXCcKvgw6j3yYH167jq5bvmP4ml/Addd9wJQZ+UTLyyisiOLEDuavPy5lkzuP23mUJ9/6kNkRL15rA+36dKZ318ZVO8d0oVfXjgwoncLMsiP33kSkZtnRSpbO+4DfXHQeTbYMUEs561EePbcdCdZGZn6TzNn9jqNlPEAcg84/nrK4zcxY4KVDX4d1Gx7nkqv/ymcbg/QfdQYNnUq2Pf5yXTyBAJ0v/g3tTYAQDVu7OBiYLGD2Z1N49qJBdMhMJCZ9KHd8/AxTVq6huORInAmRQ2cZBqZh7BbeRRyXWRsrKA07O70eth28+7E4R/PmzTnnnHPIysrCNE2SkpIYPHgwAwcOrNb21wY1NozXsiwSExOBqrHTtm2Tm5vL6tWrWb9+/U5dKgGsmAwuPe80vvzqfcbmFpOYmsq5F51PaqiMhslJRDE4f+hw3v/gJVbEu3hjPCQmp2GFf6TIzqRe6UZK0xKJj/Vh+uuRlhTFH2uSkRjH5PFjWbUyynNPv8BJpwwgKcZk6fpKEht62FAEnvwCpsxZR5MmCTTI7s5J6cv520OPkdT0eM7v3IpV09djAonpyXjjNCGkiIjUbe4+5s4zC/LxPfcM1rSpmHl5h7FVIofOsLxQ/AsT3nyAv/kf45PLMgBwoxWUlXvw+TxUfn0n7b49mUm3DyY7wQfUp+/AXvx2UgEL19Sj/6npzMqLUF4K1AOIEI5GCRtevBpRJ1KnWZ4AlRWVOG6wqqfwkn9z7RsNuefOTniCLpWRCFEHMCFSEcVw/RjhCLE9buDhTpeydu4YXnr2cX77Yn/uffdi4rZ+JXbBMk1apsdte8F1tvZOdqhs/jvenHwtg7PqaVZQqRNSYz0kxVjMzysH4ncqswzYJS5ixoZyWif7dxreuzdNmjThjDPOYPz48bRo0YK+fftWY8trjxoJ+wKBACeffDJr1qzBNE1c1922UIfrugwbNgyfb/fQLCmrHRc0aUM4HMHr82EaBpDAdedlYAC5m4tIbNAQq7KAFk3bktGqA3f9vjWu6WH4lgmRq0LEVM5NdzEMgwYAvbpycjSC7YDP76PtjXdiO2CZwwGDtn+4D8eF3j3aYhgG/c68iJ6RCB6vF8MwuPqG0zGAE84/fbeQUkREpK5xOnUGnw/2sPKu57OxNVexZWEf17Xmji/HNBcX13GgXhrNW/UkcM2f+fDU5zkzoZyNc17nhfdvYMTvEqgfexaj7nqR//VpxiVDWpDorGLsF1M4pflgOiYHaNhnOGv/+SMrv5hF90u6ELtqMhOmzeeH5NO4QtM6i9RZli9Iy75XM/WZN5nf+2raxpfz/Vsv8bP/QQI0pMewcq6Z/ANZrbJp0CyPj9+ZTXzDc+nbLsw3b7/DouJmjLj6XC68wOazj1ZRXmFsD/u2cHcdROY62BzPiX2v5bn/daTxRSfSMnE+L414iZJTL+CsUb1ofNjOgEj1aZbgI7u+j08XF3NP7zRitzwtM6jq9bfjYleriyN8vKiI107LpJ5v/56qZWVlccUVV9RAy2uPGgn7PB4P11133T632VtoZhjmbnP6bd22WbvOlNoLcGJa06VTq6oyy7vl18DY4z5G1Q94vL7tb9Yw8ey0QIuBZey0M94dwshtx1LQJyIixwAnLY3wRaPwvfbqXufYq3aWRfia63AyMg5PfXLsccF1baA+mX1G8eiTT3LHCQ04e2EeLU67kT+88xAnpxpgDOLBj4p57L4LyT57FnZyF06+7gHuP2Mw7eKAuLP48yV+Xn7iJtpcP4f18d24+K57efjaAcQe6fcoIjXHChLqdSOvLL+fu/r4GbuoIf2veZwnH+tHih+sC5/nnqI/cV/fGzm5OJP+1/yRh0ecRttgDI27pfDL4zfQLmEaxe0u4577H6V7TAW/OO72gM912THrc7f8HHUtev3pv6y961rOyzqJpcGenHf/49wzXEGf1F4hn8WpzUJ8uriIuyes56khVfd/yTEePjs/m7bJ2zOhqz9bRaeUAIObxOGzlMnsL8N1d3t+ILWU48LmkjA+S3+lIiJy4IyiIjwTJ+CZkIP50081Vo8bDOI2ysRp0ACnQQbEx2Mf11VBHxCK2X0Rs4MxaND+r2qck5NTLXUu3xSmSaJvt6E3NeH777+nS5cuBAL72ZXOrVo0zjE8bB0B5DpRohEb23UxTA8er2f7w1/XIRqNELVdMAwsy4vHMre/N9fBjkaJ2g6uYWJ5PFXl1f1GRWS/hMNhpk+fTu/evQ9ov19++QWfz0dWVtZ+7+PaUSLRKI5rYFpevN7tn33HjhCN2lVlHg8ey9qyMNAO1wzTwuvxYplVvY2jronXqjqubXi3XKNc7EgUPN4t1yUXJxohEnVwMbG8uuZI7Rd1XF6fl8/149ZwaYdEHjuhAXE7zIexujjChf9bycwN5Uwc2ZTj0mPYj2n7Dtm0adNo1aoVoVDo1zc+RGVlZbiuy7Jly8jNzcWyrF/faQvTNOnYseNe21kjPftERETk8DDz8jDnzMY4iFVsjYoKjKJCjA0bMIuLMVavqv6efD4fdstW2K3b4LRti9u4CU5aWvXWIfJrDBPTMndamc4wPXj9Hrx72d7j9ePZY2FVueX1Ye2tXETqLMPy4LP2/DXatLz49nRh2OM1w8AwrW3XIMPy7vDl3MDyenfa1vT48Ovbu9QhHtPg3NbxOMC9E9bz5vx8uqbHEOcz2VQWZdbGchqHvHx0bhM6pQUPS9BXl+hyISIiUkt5Jk7A98w/DnzV2xrkZGTgZDfFadMWu1VrnBYt4ACeUoqIiIjIsaGez+Ti9gkMahzHx4uLWLS5kg1lUXo3iuWKTomc0TJEgt/CUtJ3wBT2iYiI1EJmXt5REfQ5GRnYPXphd+2K07w5bmzcr+8kIiIiIgJ4TYOm8T6u6pRI2HaJOi5ey8BvmQQ8CvkOlsI+ERGRWsicM/uIBX1O27ZEe/fF7tZd8+yJiIiIyCGL8ZrEaHqMaqOwT0REpDY6XKvkbuE2ySLarx/RwSfiJCcf1rpFRERERGT/KewTERGphZxOncHng3C4xupwQyGig04g2rc/TuvWNVaPiIiIiIhUH4V9IiIitZCTlkbl9Tfif+6Zag383FAIu2cvov0HYLfvoMU1RERERERqGYV9IiIitVR08BCc9h2wpk2FoqIDP0AwgJuQiJucjJuYhJuQgBsMVn9DRURERETksFHYJyIiUos5aWk4p51+pJshIiIiIiJHCfNIN0BERERERERERESqh8I+ERERERERERGROkJhn4iIiIiIiIiISB1xWMK+tWvXsm7dusNRlYiIiIiIiIiIyDGrRsO+6dOnM3ToUHr27En37t0ZPnw4c+fOrckqRURERKSOMwwD13WPdDNE5Cjhui6GYRzpZoiIHDVqbDXeuXPnctppp1G/fn3+9re/UV5ezt13382pp57KV199RcuWLXfewa1g7Kuvsrg0SiCYQPcBg+jcPKOmmiciIiIitVQwGKS4uBi/349palYakWOZ4zgUFRURDAaPdFNERI4aNRb2PfLII2zYsIFevXrx7LPP0qlTJy6++GIeeughnnrqKZ599tmdd4gWMWvKDE6566809Jby+Zg3KLQvY0CrFPJWL2Z9iUGb1s2wgJK8NSxdV0TzNq2J8cDqpT9TbsXTvEk6ep4jIiIiUrc1bNiQTZs2Yds2gUDgSDdHRI6gyspKCgoKaNiw4QHv6/f7iUQihMNhfD5fDbRORGqT0tJSvF4vlmUd6aYcshoJ+yorK5k3bx4AY8aMIT4+nquuuornnnsOgFmzZmHb9m4nMBBbj9TUFFJjUhjauyvvfD2VzMoQn+T8QmqSw4yFuZx6XIA3351Mg4ZBvpm7mGHNYhk3eRGNWzQhtn5/MuJjauItiYiIiMhRIjk5Gdd12bhxI5WVlRrSK3KMMgwDn89HamoqKSkpB7x/YmIiGzduZN26dcTHx2sosMgxzLZtcnNzSUpKqhPhf42EfZZlbTs5rutywgknMHXqVL777jugaujFnodcuGy9V7NME8uJMGfuN3Q76zZ6ZkZ5+cmn+WK9SXqPszmvX0vycnOJbl6LzzKwfDH4PTXWUVFEREREjiIpKSkH9eVeRGSrevXqYRgGa9asYdGiRXpwIHIMsyyLpKQkGjZsWCemCKmRdMzj8XDWWWcxbdo0AObNm8fMmTO3lZ999tl7eGriUlleRnFJCcWVpXz53XQ6nDgKz/yVLFu4mOZEKXYb0Laplx+WLqGwbSzjc6bTonkGxw/qz+JvRjOhXgPO7tOiJt6SiIiIiIiI1DFxcXG0atXqSDdDRKRa1VhceeONN3LWWWcBVZOmbn1KMnLkSC6//PLdd/CEaNmuBZ+++SKv//dzmvY7lwEt0+k5bBT1N8/gP5//yLDfnEevwedzXFIJo9/+iLSWHWjbuimrfpxEcXIPBnTJqqm3IyIiIiIiIiIictQz3BrsqxwOh3nvvff4+uuvMQyDoUOHcvbZZ+PZy3DbHZuyY8+/ra9ve811cXf4ebfyY5TjwuaSMD5L3c9FRERqo1CMv1qOM2jQoP3eNicnp1rqXL4pTJNEH8f47ZiIiIjIfikrK8N1XZYtW0Zubu4BLQximiYdO3YkFArtsbxGJ7nz+XyMGDGCESNGbHttX4Hc3sp2e90wdlp191gP+URERERERERERKCGwz5QECciIiIiIiIiInK41P4lRkRERERERERERARQ2CciIiIiIiIiIlJnKOwTERERERERERGpIxT2iYiIiIiIiIiI1BEK+0REREREREREROoIhX0iIiIiIiIiIiJ1hMI+ERERERERERGROkJhn4iIiIiIiIiISB2hsE9ERERERERERKSOUNgnIiIiIiIiIiJSRyjsExERERERERERqSMU9omIiIiIiIiIiNQRhyXsKygooLCw8HBUJSIiIiIiIiIicszy1OTBN27cyJNPPsm6deuwLIuMjAxuueUWEhISDvqYJQXriVj1SagX3Od2rutiGMb+HbNwE2UESa0fc9DtEhEREZHDo7DcxnWPdCtERESkrnGBUMDEMvcvTzpa1VjYV1xczK233kowGCQQCLBs2TIqKiq49dZbefbZZ4mJ2SVYi+bz3r/eYsBlN5AahAUzP2CJpyOnd2y+02YLJr3DqqShnNO77R7rXfrDJ/ztre9p0jCB+NRMTjz5ZLLTQvts68JpXzCTDlwzpMMhvWcRERERqXkR28VR2CciIiLVzHWpEw8Uayzs++qrr8jPz2flypU8/PDDfPjhh0yaNImUlBQmT57M0KFDd97BDbP8l18Y6Kv6saJkLatoClQwJSeHYm8DBvftjGkaeDwGG3/6kfWFJawssDlhcF9iPFWpa97qjTTufDq3X9qDTUtn8uqbb3L1zdfhyV9BzrezyWzXi47NUslbPo/Jc1bQtc9ALI+JZfiIlqxj2SaHFk0a1tRpEREREZFDlBxXo4NTRERERGq1Gpuzb8KECbRq1YohQ4bQokULbr75Zu68806GDBnCuHHj9tASD6Wb1zH636/wyiuv8OHYGXi9XnJGv8LMtWE2zvmSFz+ehuXz4fPDpNf+xbTVNnFli3nh3Ry2Bq+maWGZBoZhkNysK/U8pcyeu5CXX3ibsGHxyeh/MeXnpXz88sd469WnJH8zjuHFLc9j7LjxlBu+mjolIiIiIiIiIiIiNapGwr6Kigo+//xz+vTpw7nnnothGFiWRZs2bUhMTCQnJ4doNLrzTq5DoF4iPXr3p3///nRqn40nupnvJ82lrLiQiC+IL+oSxcV1HHyhBI7r0YeBQweyeuEaIjscyrK2Pu0NE8XByF/B9DmrKcnfTFz9euAGaNevMwWrl7I2Lx8vYT5+6Xm+XWHSvnFKTZwSERERERERERGRGlcjYZ/H46Fbt274/X7atm1LcnIyaWlptGrVivLyctLT0zHNXap2HTAssls0o1mzZmQ2qEfEjKF7vw5ktuhA60ZJxCcFMKIRbBfsshJmT/2WCV/k0LBVA7zbjhNm2eIFzJ07l5wx7xNMOY6ux3Wkc5dmtOnSlbT6PoLeSjYXV5KVEcesKd9TWGbT8+zLGJK6iffHL6QODM8WEREREREREZFjUI1MeOLxeBg9ejTullkNc3JyeOGFF/B4PKxZs4Yrr7xy97DPqs8Zl11OwpbUrlm7k0n0NKB5rzZ8m5PDZl8WQ/t0oHKDnwbBNGb5fST5ohR7mnP1aX3Zuk5Ki54D6BOeycKFP5HRtBMXd22DxzC47PIzmPDtbJr2OImOzbJp5Cll0qxlnDtyJPFsppGZTHZMF2asKKiJUyIiIiIiIiIiIlLjDNet+XVG8vPzWbNmDQB+v5/s7Gw8ngPIGV0XFwNjh5WPJ4/+N41OuYwmSZ6dXq/avOotGbsUuK6702u7/lzbOS5sLgnjs9Q3UUREpDYKxfir5TiDBg3a721zcnKqpc7lm8I0SfTtdl8mIiIiIrsrKyvDdV2WLVtGbm4ulmXt976madKxY0dCodAeyw/LUmYJCQkkJCQc/AEMg13vG/uOupK93U3uLcDb9fW6FPSJiIiIiIiIiIjU2Gq8NU5BnYiIiIiIiIiIyE5qb9gnIiIiIiIiIiIiO1HYJyIiIiIiIiIiUkco7BMREREREREREakjFPaJiIiIiIiIiIjUEQr7RERERERERERE6giFfSIiIiIiIiIiInWEwj4REREREREREZE6QmGfiIiIiMg+ubi7/CwiIiJytPIczE6OA6tyoaSiupsje2MakBoPSaEj3RIRERGRI8wFjGrd8FcYGHk53HbbOAIDzua3l3cjrQZqEREREakOBxX2rcyt+n+LjOpsiuxL1IYl6yDghdjgkW6NiIiIyBFkVDDz+St47KOlLM6N4DjulrTNIRqOI73TEC767ZWc170hgeqK4sIbmTN1LjGNB7Lr826jfAXfvP0MVz4ylvpxgarXTA/+2BAxbgn5JeEtfQFdopG+3PvBI5zRLIhPCaGIiIjUgIMK+0rLoWUj8B7U3nIwfF5IiIOSSoV9IiIicqyz2Tj7Yz5YOYBrLxtOj8w4iDq4gGWZ5C/8hncf+jOzz7yR+y9pT7UMjDAsfH4fPo+5e3ToTaB599O5+64O+L0WhgkVmxcy7tkH+U/od/zz9h7E2Q4AjpNBp2QvloI+ERERqSEHF9cZmqlERERERI4UA8vjw5PVm9NGXs6JDaydiyuziYy6hzEvvsoXJzzOeZk12xrXE6JR+/5c3r7/9heLZ1Ix7hE+Sj2Vyy48EV/NNkFERERkGy3QISIiIiK1kx2moqxk99f9PTnpxMYEgnP58peC6qlrH3fNe+qkV1ZWTqXt4kYrKP3Vg++yAIj764/V9eBdRERE9kYDcUVERESkznHCNkbYwGtuTelcKtdO4dMPPuPbGespq9eY9kOGMfyUbmTudkdcytzP3+LTz2ayJBqk+YnXcHM7F8Nj4Bxiu1Z+dT/PLBjE1Vf3oVnAuyUoNDBKF/DmK4uI7dqVYb0aUT7zP/x3kUODLv3oXTiJf7/7LUvKY2jb50xOO6s3LQK7HLh8MRPGjGH8N7+wPppAm4GncO65/cncdTsRERGp82pfzz63as7AsFP155JysB0oKIb1+bB5h0enTgQ25EPYrvo5GoG8wqrtSsLbt6usrJoLr2qn7ccq2jL7smPD5i37bSyEqB6lioiIiBxhLq4VILZe/d2LCr7iv5+toNjqzsntQkApaye/xd/veoKPfi7FCgbwRAtYNO6f3HXr28wu3HHnIhaMvo0nXp/E8hLwxsThrvyGsVOWUrYZEsxD61Xn2fAtz9zxNOMXle+00Ic772VeHZfD3A1RgsCm2R/w6luP8Mi7XzNj2jqiMbH4Ktcy54Nn+L/7P2bJtp0d2DCVF393D698u4YK04vfF2H5uGe49YlxzM2PHkJrRUREpDaqfT37ovDS29D7VDg+Fp4dA6MGw5/fhAoTLAdGDIfj6sE//gtLyyGhPtx0Hhgr4I5PID4OfD644yJoEoKXXoMfPfDM5cBmuOtlKDIgaMLFZ0PnANzxAhAPvli4fySkxRzpEyEiIiJyDLN8BJd/zosPFfNdShCcqgjOMDyUr/uJ+Ym9GHb2pQxJBXfNd4x55wleWDaYf7/9CCc2BKhk2WdPcv01v+XOHr34dGQWFhBZ9B/uun0sMXeO5oGbB5JpAJtn8NGb/6Rk8yY8pnVIYV/GaXdzWfr5TJixinNatCMYAHCZ+uE0Mo+/mP49sqo2DIaov2Ezq5ZUYA2/kns7hoBC5rxyDzf85S4e6NmD0Wel4kYKWPC/u7jtgyB/+fRebuqRCEDu5Ac4+9o/82LzdO4d3pEU/yE0WkRERGqV2tezDwiHt93PURkG24ZgLFx1GvTPgNm/wHtfQbPu8PJtcHozmLkEwlFo3gxuGA5pUdhQCuUbId+ERsCCXDAcSE6F526BO4fAmC8htwKSkuGaU+GW0yFVQZ+IiIjIkWWYWCVrWDx3NjOmz2DGjBnMmDGNH76fw9pANy67/TZuP7MpASIsmz6J72YX0em2u7YEfQB+sodey71X+vjimbEsiQCE+fmDp/jIcwkjLuxFQwPAhcSuDO+ViS8xSq4D1t7atD/q9+ayEfXI+WYaK0u3ds+bwiezmtKiUUdaNtj6/mwiFSk0b9+dPh23ridcn/anXcRlJ5Tw/j/HswGIFCzkoxe+JvnWR7YFfQApfe/niQGz+PTTiSzcWH4oLRYREZFapvb17AMMAzwWYILrgGlCcSG8+jkkhOC64+D1T+E3LeHHGfC/n6FzRyAIi5bAY4ugaw/o1gC+/wpKg5ARhok/Qfu2YJkQ9FQFg3GToQLIy4M3xkP71tA8/QifABEREZFjXbSCkg438+hrtzMwaV8b5rFh0QpKV6VyUpv4nYsci6btzoT7p/NjAbRMKWTJvPkYw/9Isxhjy1PxLctvtOpJq+SFuHb0EOftC9D1/IuJP3UiM1adTtukAIEfxvBD8+O5uHMztmZ9RGyc1hkkdsxkx2n3LF8imRnt4cMFLHGhS958Zs8ySOvzJa+9MnVb20xPHBsKy1kybi6//K6EXplBvIfUbhEREaktal/Y54HEOPh4AvzihyIX6nmgfjL836UQa1aFgT3S4IX3oUtDcPJh3iromg29u8NlbeGPH8Da7vDdT5DvqZoDsGge5DeH/Hz4dBqsmQ9GBiRZEBMHp/YAy4CiMNT3HekTISIiInIsMzCiZRQXFELSHubt28Yh6ti4PovYXYeyGgb+YD0gn2i06piua+DGBggYu6yx6w+SbnkohUNepMPofD7XJpzF9JnrOKtzEgs++Z5WbbvRtkniLhsa7NoMcHHcCK5ZRkUFYEcpx2XNhPd4fpq9w2Yu3npDGdK6I41ivVq9V0RE5BhS+8I+Ay44Bd7LqZqP7+ozIBQHvdqA6bLthmjISWBMgul5cFI/MEOQXB86hCChEZzcFnI3QVYH+G1/8AIfToBSoHMWzP4JMhrArYPAVw5tGsH3C8DjgTYtFfaJiIiI1A4hElJTCHjmMW15BRc32aGfnBtl1eLJkDaExiEAH0npSfDDElZWOmSzrV8fLF/Ad4W5xJtmNdxAt+OM21J4cfpcNg3PZeyU4+h0Q1uyd+yhaJoYuYWUrSsAthe4dgUlpcWYqS1oHAQj1JDWKQYZ//iWfw7cpZrIBjaXBgjWq6defSIiIseQ2hf2ATEJcPFZVX/eGu6d3XuHmzHA9MKQQTAEthUYQMaW8lMGV+3bqfn2/c4aWPXnS4dvP45hAD647oJdXhMRERGRWqAeTbp1pVn3sfz3oy/J73s6CRaAS+Gq2XzyxRQaXvcYx8UChOh48giyn/qCCXPOpPOQpsQDuBUs+HE24U0FhEzrkHv2AWQNvJKUF35k8pvj+V+3E3mwXUMSdtzA48GzcinLv53B/LOb0S4WwGbtwu/5cvpiWozqSVPATTmewZc34JJXX+PWLhfRsv6WGQXtPD747VBeta/llvsupn+j2EOba1BERERqjVoZ9sHugdue8rc9hXLGLmXGPsp+7VgiIiIiciS4uE6UqO1sW7RtX+q1GsTZfacz87HHuK99fa7tkYJdvIbZY57mtQWX8uizvbbNi1d/8C08dskgnn7xNZq7p9EhKxXPkk/4urQpjb35ZDlhovvVRBfHtonae4kGs0/h963+w/1//4E2f7ycVhmhncsjLmanepR417Hg7S+JDmmGuWoqOa+9z+TSK3n8ss5Vcwr6Uzlx1OMMG/Eij/6nMTf0TMHnMYlgalcAACAASURBVKiY/xYvfWKRcmdnWiXEKOgTERE5htTasE9EREREjlUmweQssksTiPWav765pyHHXfUQo7u8w98fuZXh1y+mMLEDJ1x1LaNnjqTnTl3qsjjn3xPxPHoP/7jsFKZFQ/S86hmevz4R79gN5Nfbv4UuDCtA/fRsspNi2XML0xh0YRJX/nAJF3doSnrsLsVOmEp/e/qf1I9uZW9x5bA3mVYYou/5d/CPT69gcOrWU+HFbPcbXhubzHOPP8qVd01hSTiRJoNP46o3xnJt/3Q8emgtIiJyTDFc1z3g+Xrnr4AWDcGnqPCwWp0LXi+kxe+53HFhc0kYn6UpmEVERGqjUMyuK0gcnEGDBu33tjk5OdVS5/JNYZok+jQa4gBsGH0Opy46l39ceya9GwZ3Klv0+iVcM3Yz2VeM5qUhCXs5goiIiNRWZWVluK7LsmXLyM3NxbL2vx++aZp07NiRUCi05/KDaZBpQGS/xi9IdYrYVasBi4iIiEgt5UYoLy6homIWr7+Sx7nHH0+z1OAetnNxAdetjhkCRURE5FhyUH3zGiTCkrUQF2TPk+VJ9XLBdiAchcYpR7oxIiIiInLQ8j7mxpYXM7rApP2VL/B6n0zS9jAu2LA8eD1ePAf1aF5ERESOZQcV9sXHQcAH5ZUo7DscXDBMCAXB1A2fiIiISO2VcjYv5Z/NS7+yWfORLzNu5GFpkYiIiNQxBz3rXsBX9Z+IiIiIiIiIiIgcHdRPTEREREREREREpI5Q2CciIiIiIiIiInIAvvhiPENOHM6GjbkHtb/ruriuW82tqqKwT0RERERERERE5AC4rssPP0znvvseZN36jUek/r1R2CciIiIiIiIiInIAIpEIXY/rzNVXXcrNN//hiAR+e6OwT0RERERERERE5AC4rovX66Vr16rA75Zb7mTd+g1HulnAIazGK0cf04DEOC/GkW6IiIiIiIiIiEgd5zg2ACec0B/Hdbj11rv5+9//SoP0tCPaLoV9dYxpKOoTEREREREREal5VRmMYRicOGQQju1w++1/5NFH/0RGg/Qj1iqFfSIiIiIiIkeJqA0T58LKXHAcNGpHjgouYBiQEAddm0NmKrhu1Wsist2wYYOJRKPcffcDPPjgfTTMaHBE2qGwT0RERERqnfKIS1mljb33hehEjgjDgKDXJM5/4NOj5xXBh9/C/BUwewlURBT2ydHBBSwTmqTC0nXQuy30bHPgx6mIuJSFbaJOtTdR5JAYQMBrUi9w6EtbnHbqMMLhMA888DD33XcnjRoe/sBPYZ+IiIiI1CoVEZeSShvLAL+lKESOLq4LZWEHA4jxmfvd86mkHCbPgx9+gtR4uPZUsCyqUhaRI80AXFidBwtXQWUEMlOgYfL+H6IyWnXtNg3we3TtlqOL60J5xMEwqq7d5iH+ip591umUllXw8MN/5w933ExmZsPqaeh+UtgnIiIiIrVKQblN0GtQL2BqvmI5KpWGHYrKbQJeA2s/f0dX5cLXsyHoh/P7Q+dmNdxIkYOwsQDenQhTFsLEefCbgfu/b2G5jc+qunZbh5qkiNSAsrBT9XvqMfBVw8PEUSPPo7S4hCeefI6bf3cdjRs3qoZW7p9D758oIiIiInIYVUadLU/d9WVRjk6xPpOw7R5Qp7zSSli6vmoYsII+OVqlxkPbxrBkHWzIP7B9w1GnKgBX0CdHqRifSdRxcauxR/W1115Go4YZPPvciyxfsRK3Og++Dwr7RERERKTW0VdFqXNcsJ2qRTlEjmamWbWQzIFyMbSih9QC1f87euutN5Censobb7xLQUFhtR9/TzSMV0RERERE5Egzqr5iKgqRo96hrMKrOSjlGOE4Dl9+mUMkEsFxHLKaNObPf3mUkSPOIyEhvsbrV9gnIiIiIiIiIiJyCCorw/znPx9y5pmnEgz6uf2O++jcuQPJSYmYlsnQoScQCtU7LG1R2CciIiIiIiIiIjWuNOKQWxalqNKhwnZwqrm3pwFVC8H4TBKDHhIDVvVWsJuqN1BZGeHll9/g+edfpLCohJtuvIKBA/vSvHkzfnvT1TXcht0p7BMRERERERERkRpTGXVZnF/JT5srWVkYYWNZlNKIQ9Rxq20qR9cF0zAIeg2SAh4yQ15aJPholeSnvr/6Qz/XdTHNquO+8sobvPraG7z/wRucdeYIrr3mEv764H10PX4A5513Bg3S06q9/n1R2CciIiIiIiIiIjWiNOIweVUp41eUEPJZDM6Ko02Sn/ga6nVXEXVYlB/m29VlvD6/gO4NgpzaLERisHrr83g8lJWX8847H/DvF18hJ2csXo+H7j268e67Yxg58hwGDx7I22+/z/XXXUEg4K/W+vfZtsNWk4iIiIiIiIiIHDMKK23eWVjIuuIIo9ol0CE1UON1BjwmHVICdEgJkFcW5a0FBTw1PY+ruyTSMM5bbfU0btwIr9fLv//9CuPHf0KoXhyO43D99Vdw4QWXcuGFZ/KnB+6iT5+hXHrJbw5r2GcetppEREREREREROSY8f5PhRRX2lzZOfGwBH27So7xcHXnRFom+Hh+xiai1ThJYIcO7fgm51PGj/+Y+PohAEzTpEP7tvTu04tJk77D6/WS9f/s3XeUFFXCxuFfdZzpmenJOSeGODCAgGQkCCIKiIiKn3lXZE1rWlzXNe+quyaMi5gFRRATJhCQJIpEySg5pxmY3KHq+wNUUFBUYKB9n3M4zHRX1b1Vfbu665176+ZkY7cf63sHHkw9+0RERERERERE5Kh6/5u97K4J0qfAS0bU0etR92uFOWz0LYqmbFEpIxeW8ueSuGNantvt4qEH76Znz/60aNmc//znPqKiIo9pmT+msE9EREREQo5lBgn4avEFgljYsNkdOF0unPYf3wXcJFDjA3cYjqN0g3CRY8kK1FBVE+DAvimWZWBzOHC7XThsBzZkk4A/iIkdl1ODuuREZ2H6/fhqavEbBge2ZMPuwOly47If3L79tbX4/UFMy8DmcOJyO3/0HpC6UuEzmbmxivaZERTFH2L4qmURCFrUYhDuML4fdmoFTfyGDZcNzIBJlXnAKkC4AwKmgdNuYDcA06I2aIHNwGU3MLAImhamZRz0mR/htNG3npdbp27lrMIoUo/icN5DSU5OZP786ce0jJ+jM76IiIiIhBiTbfPf5/HLO9A01UtUUi5tzvkbT05YRe2PlvNVLGHEWRfwxiYwD7M1kROGZbFz3GBiYrxERUXh9XrxeqPwenMoPuOvvPD5BvYc2JArvuSlx57mnmfmEaizSoscqXKWvziMc71evFFevN597TwmLpmm3a/k/vdW4/t+WQt2fMGzfz2TVokxRHnzKen3N16fv40KncxPCF9sriLL66Io7jD3qdtVzmtvfE3+S+tYFtz3kFnrZ+2kZfxnCWBZzBm3mIRHFxP9yGJiHlmM98FveHfZGi5+ax0zN+/7RDdXbOG2EYu5ftpuNliAVcH0r9by6MRd/HjAbkyYnc5ZkUxdX3msdvuEobBPRERERELKnqkPcseTrzOv00jm7LWwqtbx8S1ZrH5xIF0fXPj9cuaeTXwx4m7unuxEHUHk5GFg9n2eJeW1mKaJaVpY1lbm/M3LK/94lGcmf0s1gLWHReNG8PLEj1kZ4dGQLjkp+GqqaFh8Oq9vNjFNE8uyCNTuZO6TnSl/sAfDJtYAFlTM5oG+/Zle/CiTy/xY1gYmDTH5z/UP8MKMDVTV9Y4Iy3fVkuixkxJx6LNP0IL6UTZODwsy/JMdABiAYRjffyZb2Hn+wsZU31JM4NZirNvr0b9RHGdW+9ldE6QSi293WnRINMh3m3y7C9jlp6wcqtIi+PFHu9tuUJzoZuH2mmO23ycKhX0iIiIiEkLWM/WV9cT7O3Hdxc2INQDCSe18IX8ecBbZj9zH6LUBtr59LfaYLDr+9S222/WVWE52duJOH8yg8qXsnV/KnPevZtApMTS95HmmLTOJcKmNy0nMCMebfwbnnpvNkx9+TgUW6976N7fl/4d/Da5PktsAnGSefSd31RvH8q++YvXuuq60bKn0E+W2EXmY849lWRiR4TTJjaPPnl08vxGMQyxqtxk4D0rtYilJsthTZlFplbM0aJKSEoHHqmH97lr85RaOgIM26eE/2ZbDZpDpdbKh3H90dvIEprO+iIiIiIQQO0bQhhF0YHMd+HgiDQbeznMrX2JAloPk3g+yZ+9Otm94h2H+wE+G+oicfFy4rCD+8p3EdXqKVz+vwVr1Dtdf0o7S8uq6rpzI72Nz4nLZqPUHMK3NzP34Xbq1KyHZdWCvsUi8MbCrtpqq0M9yTnjVfgvnL3SbN00bsQlRtChxsnjyJnY5bAffq9Ewufy1xYQ99DX2BxZy2rs72FQLjbOcfF1Wxdale9hu2KkpiKS+aRJRuosF1dVUWy6K4g9dpsdpo9IXPHo7eoJS2CciIiIiISSdrn9pRnn1GG646H7enf8tO30ABjaHi/CocJw2MJxheKNiiYmOIKyuqyzyaznceCIPSrPxzRrFa64ColrlkB0FDqcbYiIJdzuwLMXZcvKw2R2ERRz8WHDTRMaOXs5l3drgNdLo/fQ23ry4CM9BXb62s3VNGAmuWCIPc5s4OX7cDoPgL516LDCdDlIyUhmYsJc7pu3FOGC2LAsb/+lXxLdDGrD5L40Ye3o8KW4gL4yEyho2rKrAFe4hOjqRvDAnMXsrmFYaZHtUGDmHKbI2aBHmCP0oLPT3UERERET+UCJaXMydj9zLbb1dzHvxLq5o1Zz6We0ZeO8bLDjontwmpmWpV5+cXAwbrvf/RJPoGGJiY4iJiSYqIo+Wd2yk99+v4fJu9Yn6blnTUtAnJxVXeCQr5k+gX2Ycsfvbd3xiCi3+PAHrirE81DsKsOH2JuENsx/QC8xkwcOXcF/VGZR0bkZ+TN3tg+yT5HFQURukOvBzM6ZYWCYQ4aZ+i2iKlmzl7b0/zMyLBSleFxmRDpIjHMS5bdgBwiNpbvn5crOFFWsj3WOQE++gqtzH0u0OYpIjD1la0LLYXO4nLTL072Ia+nsoIiIiIn8shpP4nBZ0S67HKV0qqLq2lqody5g99k1u67qIayfcR8/DDO8ROfGZ+Nv9jdfvOYP8CBdYJpblwB0VR0pqIl71aJKTmL+2mqz8Nvx7xBj6peyhNsi+gNsTQ3xyCnGHSjB2fMJdV1zJa9U9GDrsWvo3TUVvg7pXGOdmc7mf7ZVBsqMP0c/MtAgETGpNADsx8fGcVbKHK6b66JK3f5GAn8tGLeUq+76eapW1Tv53STbnxEfRJn4rt2y2cTF2kgDi7Wz1WVQZNppkHTrq8gUtluyspXHiT+/nF2oU9omIiIhIiLDg+34edpzhMSSE7+/ekZ9HjLWFjRv+y8Ql99Kzo6bflZOUBVZ0Fg2bllCoRENCjGUGCYuMJb9JJoUJmb+wdDXLn7uFIcNXkn3uvTzbtyut6qdxmMlf5ThrnRrOwxsrWVVaS3a08yfP2xOiKGkXTv3vzmMON1nN83gq1yQ6GjAMmp5RxMfVFt/dYS9oGtTzOrED3uZZjGoACZH7tx0VQ/+eEZyOnVTXT4oDoNxn8um6Cv5+atJR3tsTj94GIiIiIhIiDFgxmmFvbsfbeiDDuqce9FxUcgLxYbv4Zq8fOMyVgMjJwAzi9/vArXYsoceyTAK/OMFGJQsf6cuVb6Vz9rA7GdDjFIoO2e1P6kqCx0HjhDCW7KihKM5NpvfgwM9w2Inw2jnw9ow2t5t6KT/8HhEbzimxhynA46ah58CV7STE2Ek4zOK+oMXHq8spinWTHxv6507ds09EREREQkdmAVnbJjH9+ccYs+qA2fZqvmHy2x/w6q5LGNQ29L/ki4iELMuEb97h5hFe+t39b4YNOvWQQZ/uVln3+hV5cdoNJnyzl901dTcDrmlZfLKmnGU7a7miWVyd1eN4UvQtIiIiIqHD04LBQ68j6aPPmPHIEN7atomt5RZRiekU1G/J1cP60fXA7/mWn2qrAt/P3T9c5ARi+coxy2t/eZZLANNPVXU15XV4kS1y5CyCNZVUlZXvv4/b4RYz2TrzJSYum8+Wuy5m8v0mfDfZUm0Ve3vdzPDLz6B1ssa517Vwh43eBV7Gr9jDK1+XcnY9LznRx/cPbhU+k3dW7WXl7loGNIgmPtx+XMuvKwr7RERERCSE2Iiq340zE/LImTePr9duZXcNRCTl0bTFqbQpjD1oWUd4MQNH3ow3HnQXPznhGeBtfwvPp2eSGXYEl3LRxVx0bhpl7vRjXzeR381Dbu+r+L/CcuIPN3QTwLDhaXUNz4/cRFVlLUHzgFnVgz5qGuaS/AcJdE4G2V4nA+pHM219Ja8uLiPD6+SUVA+50U48zmMz2DRgWmzY62fh9hoW76whPszOufWjaZwYdkzKOxEp7BMRERGRkONOyKNFjzxa/OxSNuyuVJpdlvqzS4mcOAzCck/j0twjW9oKT6Nls7T9v6BEW05slpO4hm2Jawg/22ANG94GZ3Jpg1/Y3OG3IMdZRpST3gVRzNpUxdoyH1PXVfCpZWFaR3+4tQEYBtgNA7sBhbEuTk2PIMv700lC6pphGFjWbz8ChnH4Fq6wT0REREREJAQZh/1F5AR0lBusmvyJJdptp1deFDurAnxT6mNLZYByX5CgeTRjWQubYeBx2kj0OMiNdh1yJuATyc8Fdr9nXYV9IiIiIiIiIiJyzCV4HCR4FEUdDT/XK1Cz8YqIiIiIiIiIiIQIhX0iIiIiIiIiIiIhQmGfiIiIiIiIiIhIiFDYJyIiIiIiIiIiEiIc559/fl3XQURERERERERERI4Cx9atW+u6DiIiIiIiIiIiInIUaBiviIiIiIiIiIhIiFDYJyIiIiIiIiIiEiIU9omIiIiIiIiIiIQIhX0iIiIiIiIiIiIhQmGfiIiIiIiIiIhIiFDYJyIiIiIiIiIiEiIU9omIiIiIiIiIiIQIhX0iIiIiEkJWMPaaPtQ3DAynA4cRTlR2Ny55fApbrbquW+jSoT0eTCxzNo/Ee4lyuXC6XLhcBoZxLS8t2kVtXVfvd1ELEjBXvcMbL/+LB2b767oqB1vwKH8a8y2bys26rslRtJLX7xnLtGnrCHz/mI/lb33I+CffZ81v2eTXTzD0zeV8WxpKx+nk5Rg9enRd10FEREREjqLzzz+/rqtQd3x72ZHcnYseuZ7/u7Qpbp8d39ppTJj2Nn9/pz4j+6bWdQ1DkvHNy3R6P4orunfhokYxdV2dEGZStXsIL38zlJYRThyWhWlGEJsUhauuq/a7GKwY0YgPUobTp/NpFETVdX2kTph+fLXV1ATruiI/Eqyl0hfEDKlMOoivxkfAbx4UtQf9fnw1QQ6K68zdrP/qfe58MZ5Hn+qN97CbrKHKZ4bYcTp5OVJSUuq6DiIiIiIiR4dlYrqjSciuR2Z0wv4HU0iZY+EJ/7UJgsX8d6eT3rEZSTHeAx4F4yfLlrJ9y1q+WNeUPm1+z+AZCwvjENs/bMG/q6yjtsHcgYy70iIiIhx2fcYX29NwpxTSLPa7oiwwfijrqO/KH4hhJJObn0XmLy55mKNcu4XStfP4LLw3fbOOfv1+/FofqcKLpvAnonEfJrVUm/ljMIzDnP9+wUHt4zc2FtOs4IsxX9BiUNeDw3MDbL+wvXXzF1OLi3ol9X59wb/AsiyM799Tv/2dcPCabhw22yHfqobdcfD+22JILxnIY0Xg+dkSDDDsOMMP/gw8dI0P86g/yDfj3oBBF1D4s2XJL9EwXhEREREJHa5IoleP47FzG5CYnk5yYhxFZ/2L+UnX8cDpkVgVm5j58CBKilLIbteXeyaW7luvdimj/9SRnIwUirrczLj1q/n81YcZfu0A6g14mDeX7f6+CMPawvSnb6ZbXgLJJf0YNmIKi2aO45YrLuLyS7tx/1cB8K/k49v60yw5ncwuf+KhT7cDsPi523j1+RvpNHQ0S3evYOIDl9CrMI24wq5c/9oCNvkMDHby1ajb6NmkiKb9b+Te4ROY9PzHbDAgsPMrxvzldBokZVHY52ZGLT/EMdg+gXsGtCM3NZEGZ17P6HmlmJTy5bPXMbBxBvE5p/J/j01idcCg4uvPmPbKP3j4wSG0Lcil+OIHGLcuCIE9LHnzOno0TyIt61R63TObHfs3v/Wd2+nbNpvUxCacddN45u0FNn/I6M/XsmjuHCa99ARDzmjB3++4mn89PZFXXliEzzBg7yqWz3iV4bP8Cm1+Mwub/R56pqaSmpZGUlw0fZ+ax87aLcx45ErOKkonLr8TQ0bOZkPAgO3TGDGsK3lJyTTufRv/+2wV30x8lmv/dDFDz+7B2LXAug+5fUAzUtKzaHfZc8yrAihl4rBneOl/g2nz0ES+3XXAIOHahYz6W3caFZTQ97rb+fsLHzNh7iZ2fDGbD5/5gHWGAbtXMG/8Hdwx3QfmXhY9exmnNkohvUV3/vbuVoIAuz5m2HMv8fTgNjw6eSuz33iJmavWU26D7ZOf4PoODUjOaE6/e99jURkYlLLs7Yfo3yCNpHptGfzQDHbWyWsgx5tZvYO5T15Mq4YpZJ7Si5tfXY0fWDpiICMX+qi2wNg+lsvOe46PVu3GMmDt6Cf4cPZidlZ/wyf/uZS22TlktLuS+z74FoAd817jb13zictoRK9rRvD5zlVMuP16hl01iPxrJhyibRnY3TZ2fHo/f+pVSHpcPh2veZWvdu1m+5w3eeH6C+l6/s1c895GzL1LeOu2XhTlp9Cg91U8/WUtUM6er57h+tHjeaxfY1LT23PZayupNoHKxYz8a0/qZSeT1/x8Hpy8Df+6Cdz1wod8tLQMwzCoXTKOSZ+OZ9r2H86etdsX8/adPSjOTSGn8TkMm7AZqMU37xn+OnYCTw5sRkZqay4YsYhSHxi+VYy6uScNUhvT518v8cW2auwO+0HnY5sjDLbP5tV/9aUosTHn3PQ63/gC7FrzKQ+8ux47YG2eyn0XnkJaWhsue3ESr//1Gb6qCYLNQaR9JW9d34sWGQ3ofMtY5m4Hgx18/uIt9ChOIaVJH259ZT6lGAS3zWfMzadRGJdBg97X8sSs9cx64SZuunUoHfKfZT4a4P97OOq6AiIiIiIiR02ghqrkU+lzS3/OGNAQlw+C25ewYss4Xph9PucwmefLz+WVj++BPbtYPuHvvF3vKXp9+wIfFN7EqHfyiY+JJzUtHlefEgreuZqHBp1Nh/wfhqaWfz6e1WYs5z79GU8URhEbm0RcpYuzzz6TikB/rszdzZpPRvOUbRBPvHMTVsU2pr1yFaOy3yJvy3DGOZ/jziHdyFz7OiODPfjL09fxZOxCRr6/gq+Xp1O9YQRTVxn0+debdEpczeTnZzJ6Vyv+edlGVsycxMymd/LOX2Oo2rWZL599krkPDqWF87varWXc0FHYBtzLyJu82Oe+zOtzltOgYjmfVjejz30X8WD2t4ydtIkZU/fQK2EOC1ZMY2vj4Twzpg/Lpy3k8xtHkjG8Hd++7+DcEZN4gL0sefdhxi4bw5CwN7hmbDiD7n2JWyMsFrzyGl8sbEED70427SylMq8FLRoXMvDqJmR0u5LiDe/z1ZrlfOUvpum6zSybvJKUIc5DvnRyJAwscyD/fPUCGoU7sQcDRBc2JnLFy3zg68gljw3hsaQlvPLhWuYvjGXr8vX4XefxxJQnqR8RS0xyIq51rejXuwvpBffRzr2BT0a8Q+JfRjHtHovA9hk8/exs6t2QT9m6R5ib9zD39W1JRvR3/Xy2MeXmV1njPYd/ju5Ow01vcu/8LyjPa0BrfwWlW8v23TswUE3l7o1sZhfVSybx0PrTefrdW3H5qlk+7h+MbzyCAZF7WffwXDLvv58+p6aw9+tvWFNtUrt4DGO+jabp7W9wXUNY+sF8ln/8Be6SctZu2sypD0zk3oZhREWnEvszR0pCRKCULfPf4YGFLbn7lSFEVu1gyfhrGZ43hqvyMrhm6hLOa1TCpo/Xkpo0nYXbe9CusJLpW5LIbuhjxSuz2eQ4g3s//Te5W2cydeNXPPv+RtrUrqRy4PPM7JRBeFQcyXEGO887jZIvcrjl+lOJ/nE9DDvO6gVM+NCk/Z+f4qrHY1n68vusnL2C1G7FNOk+mD/7GnBh671M/+xLZib+hXen1qdq3XJWzbqXT9Nup+mODYwbVcb//vEiY6tWM/Gxj1g2KJOaJ4exvN4Qhr+SStT2Sbw2eQYL8upTuOZddsYnsadhMatnlbHFn0ybrt9VqJSNK5awYncP/vvhf4na9C1fvvMMs9r/k5I9mxnz/C6euv1/jLl2PRP/O4VVF2ZS+/htLMr4Px4Y1ZgC82Pu/qaM9ZZBh+930oXDtoAVO9biansnY1/+mrnfrmL07J38Ka6UNdsqwbeOCY/cz67u/2Xs1RG49kzk789VccM/LHDZmTtuDvnn3cLTf65mxlOr2LpuDfO/+oTlvgKGvvg5zR0r+GzxSsZ/FKB1zBoWVZ/HiGldyYz0EJMcSyD2LDo08HHWPWdTiHrz/h4K+0REREQkdJhBAp4ksora0qn5/uFU/ljM9z/ilbc+Iy99FM8/tJIFHyRh1Oxlx/pvaNfwfs5q35Pus6fywv33sC1jMDfeOJROWSnEpzWkdaMskl0/DIiJatie/PXvM+bFf/A+eXS65AZu6JxCfl4umY5WJDq/ZuGiFyg+Yy3t2wBWFYkrn+XuhTu5mhLadzyNdo3jcdVewFXuFWxZ9CVjXh/N8+vakd0/FyZ4iIxpSe8zi8kkmYpp2ylf46Cici1fvv93nny3IbNGhhEo38m2dVXcfOVQWjTcX7ld83m3pjXX9uhAizgHFGdSrzaSGFdDYlO+YePXi3jnuTf534pM+tbrTk8rnbTMjhR2L6Y4vph0TLZ98R4bjSvodcN5zNuyiE8mT+CT1z6kcy/YtexdqloPo2enxsTYoWlOPWqjZqE1mwAAIABJREFU0wlfYwAWNo+b2Pg48hoVkpqTSnFmAcur1jB32ioyY8pZ5WzH1YnHu1GEFsvKpaRzJ9rYD3gwZgCXO1eyZdE8xo5/nedWN2HIqafStW0BmzaN4rW73iOY3pnB19/AmYmp5OVksbukHgm+cXx693O8UG8OoyIN/GXrmL/6Oi64JgfTaEfHbu3plBv9w0WjfwXT/enktu3BgFPysDXoQIeKtdQGAwRsNuwO+76hYzYHrrBwDH8l6z9/nVcfW8LiiUk4gjVsW/Y1JXn30L+zhdGuI107dCI/HJY6bDhcHrauGs8nz0/kq13Z5MSbbF60hNyzbuKu9rdQWLCIqa/fx99e9NDwnOv524WN0R0iQ1zFbrZ/8zlWx3/Ts0Ui4KNx+WRypi/n+msvoOOo+Wwxwpi6sR4Xn13FyB1BymZPoSKvOfGxBgtnjuXRt5dQOzqTmD2rWWpvSuchwzirezGZT77IXRM3EN32Rm67thcp+Vkkp4bTPj+On/xJwgrisxUyYEhflm5exLyxo3l95Boax3Sla+8EErLq0dhWn1zPNj786FkeHrWTaW8k4Nu9iQrTzdkNrqN1RAQNO/ega6vmuMhgzaMjqLEvZdZD9Wj/RVe650ViM+uT19HCmxRN406TGL67ilWr5rAuKgZfXIsDhrZ6yWrSkXPdS1i86F0mvjmDGXOzyL3DwO50UdSpG13atiKKPNY/8ix+50q+fCqXluO707NFIi4CdJy4mIRgkCDfBUMBAoFk0rPbUnxmM5rURBI0djO3zIctwY7TESBYsZ5FI0rovbsjbW2Av5TmFZ/jNIFAgPQWp9K+XSdapvipiNtA0LmWVRMn8drzU1md9zzJxhZWrMjklPNup91jDWmW+j9evecTVsd34q/DrqZ3ei7piXk0OCWFyOPTwkKWwj4RERERCSEWluHAGRb+w0OBasp2b2JPbDbpafUp6XcG91/WDKflBwziGniwJXTloisLad6zB8vff4iXZ/amOMuHaTlxu5z7ehd8d4uhmGJOPSud7GZnMnfyCJbNu5cpWbeTajMw3IA7nIiIApat2wNto4E9rFyyjZT6EUAa6cmefcMYN0xl7JduWjZoS+9+u/jyzRjirVi8GdsorYqlDMikmt27trPRnobb7iE5tzNtL7+au3rFYfkCYDPITT9g971xpGz9mPWVDlrEAbVf89p4F73qbWP6JjeJSS3o0beCJW9Vk4yLMNdOduxaxY6tQDwYe0vZtjGcdN9Gvhz/ORX9u9HzjDACaz4nLBpia1PY/ulaKu37QhbfwhcZ476Q8zxgtxn7jlEggGF34rADsc0piPGze9JIZnZIJ6bLUF3A/W5B/LV+Ah7nDxdzm6fz9pcG9Qtac0a/UuaPdRAfcBGR24ZeV6bR4PS5THtpOfPumErx0/EYloUjDJxGIsktS7jgmn/RN82GGbQI+rIpcthYbxWSHO84IAgAnF5it66ndHslNYBnz3bW7tyClWHH5q/CF/Dtu9dX7QYWffE1ztNcRKfk0aB3F+75U0s8RgDLNImpH4PNsLDyUoh3BAE7FmCZQSLdqaS2u5hL63ejV70waqur8KbkU5QaQ0zylVyf241Fcz9iwbxr+aD9ZC7IPt7HX44VCwub001E9AFRW0wi3qhodi7cBOwL+9YtX0RxQjxmeDr9ip5j1vulLM8cwKA2edR/Zh6TZq4laXBn0rMcLIttQNeBHWk+qAOZRg3VjhhSChqQmhbG1Tc1YtGS2Sz4cgxPzWrHfSVBTNyHuS+dDYdjI9PHzyXYrB6tzziXsrmvY0+wYQeCAQN7uAs8YcTmtaTrhcUMG1iE4a/FcHtJyzHxr7YTn5uLC7BMC7vLhmElEttwMat3+LHlAbZNTHxuGbn9T6N9146kPrOJhc99hbNzS4pOOXCCqUq2r1vCjInbyB/Qi97+CAKlSwkPs2EzDOLz8ojaf1RtbhuGFYs3fylrd9fs+zzbu5Fvq8qJte2r/z4mphmHNzKaBIAaP5bNjc3G/vG0NmwOD57cRXyzCbpmApvWscqw6GIApkl0djaxbgMIYjnAIApXQhotB15E3759aRrho7oqgviMBuRGxVBwzU00WbyIOQvn8sYz02h7Wx5m0MkBn+DyGynsExEREZHQ4XDhXPU+zz36MKNHpOD0O7G7Yslq25FLL+1GYW00lyx8kzdGTqHMl05BtwEMPdVFxeLR/PuJ11m81cDhSKJVtyg8uIjZ/hf+dO96hv3jMnrm7rt08q2fxXuvv8pbs7awy/TQ+PReFKQ72Dl9Dp+9/DkvPP0Y5/a4goKHruHcF7axN6k+jYuu5rIW4eyZvIeqQHDfdZMrwI5PR/D3Z920u6QbhRVjmDohinM6diJ/xlhuO2MCMfXTiNkcR3TQjz2sAS16Xkr3Vz7jpQc3UBlVQPvzLqL4wPTM2YIrr/qEx28/n2c2B4jOTqNe9ytJTNzDnrEv8vzMakrOPY2k4GzWTXcw3p9IsrOWGW/fxWW3T2eTpxntzh9M+8gKPl4zhseumkDDzv3p3qIZDw0eTc9PL+fKj4dz66DhbAvGkptaRNcrvERbtVTWBPAHgdh4vnrkbsbP2E3cHYNp3sDLgo93M2ZqEXc9qFuG/z4Bqq0q/D++kZUryK5pI7nrKRutB3clu+ZDlsyE13y57Jk0lolrdhL0NKFTlzzSbNWs+nYhT700hNQnHqXvLefw7MzRPDq2DHtGK/oNbogXC39FNbUB80cFNWbgZQ0YOf42zno7gSb1otjqrU8JHpLyPfjfe4yL+0+gSVom+RmNqDSiSGlzEdfOH827L89kR3kCWZ3785fWYVDho7yyhsD+qTsDNZVUV5cT2fZKBu35iA8+GsXj42qJLe5K/4tb4yhdwdSxz/HixyvYHowmo2l3uiUfl4Mux4nd4WTz7PHc/e9PmJztpsbnJzk7n/6XX8VZu/7DOQO2U2FPoajgTP59QTp2HDTuV59nBmyg6SvROCKz6RL7JNduqM8QTywxxNLlwq5UvT+JT0Y8SgWJlJx+EQMLyln63uM88tpnbKmMIjGvOT3zPVgBPzVLbqTHg17G3dL+h2HigRoqfEEsezjmtin877anod3FdK1XxYdzJhPRMolm/k956vW3WZJ0Mxf07M2GF9/ixac+oMpRSEmfQVxV4sb0V7On5rv3lElteTW+QCq97+zKoy9fQ89/bCM6K5/UeufQ1OsGSuiWOY0bvtxDQTCb8w4at+6CwC6WffQ4I6bn07RjNwoaL+fW/07hk64+9lSb+/8+ZVJbXkV1TSq97+rBs6/fyJn/ttHw9DTWb8uknWliwveBX9Dno6YqiB/AChLwVVPlM7GCtZRXgeEtoPewZjx4+3mM2+LmlIFFOMz90ycHayivDuI3ASz8lVXU7vVQcuG58O47vDNmOBOqoinq2JeLm5ns/fpdRg5/hclbaolKzqe4VxHhlOOrGcHgPum8+t45FB3TFhfa7HfeeeeddV0JERERETl6XnrppSNe9pJLLjkqZZZVB4kJt/+WSTh/tT3VQbxhdmyHmh7RFk6MN5bUnAwy8gsozM+nqNmpdO7ane4FMbgiE8iMNqm2eUnNzKOgXgH1spOJsKqo8DuITcqkQYfzGNAhj1inh9gEF2HpDWhSL5OkiP29TYK1VPssHBEJ5DfvQZfuZ1Cc4sbliiE9IY6spqdQmJNJYbQDKyKZ3OJWnH52P5onOwiPSyUlq4B4tx1bZCo5iV7iE9PJa3oqHZplkV3QiIYtOlBcL4vkxDQaNEoj3ApSbiVzWp8GJMQmk+z04w+LJz2vgMKifHLSYgn7PkNzEdcoF6/hICoxg8KW3Tj39GZkpGeQGeslKSmVzEan0K55AQ2aNCKiuhaHFSSmaSdyouIobNudM/u2IisynIS8dOIik8lp3Iw2bTuR6Y2jUadmtMmJwuaMIimjiJbdz6NXSTLuiGji4jMoTIokyptIuDuGzNxC6tXPIjJ8J5u3bGVZeE+ubp3w09csRH3fTo/wTbF5N0xZCHFRcEarQy9jEE5cRha5LVOJsh0wa2lECtkJ0SQkppHdpDUdSnLIr9+AlLh4olx23PH5NOt2Gj3OKibRFYYrMoX42HgatmhBvYJ0nLW1OGPTyMkrpKggl8yESKJTkkjLTyPqu6G5ANiILMom3ushwptOk6YZ2OwxxIVl0KJVJt64GDxhydRv3pGO3btRPz2FrNQUcqKDVBJJSkYeefUKKMpNwxseRWpyGgXpXpx2A3dMEkkZeSQlZJHpdeKyOQiLTyO3qJDCgkySohyYPj+mO5asRu3o0HMQHdLcuqdXHVi7DSbOhya50KbBka+3t8YkwmXDYT/Mq+aOIjI6lay0NPILCykoLKCoYVOat+9O+3wnQWccWfVK6NhrEJ3ywjEAIz6L6Mh82rRPJ8ZpJzopitiGp9A0I5kotw1PajyRHic2ewRJWXkU1qtHbnos4UYtPiOStPymtOrajzMbx+K0hROfEkl4RlNaFcb/MJTXHUdKcgZ5CfFk5CQSHZ9Ian4xrduXkJtbRP30bOpleolMzSC9sISWhakkhpn4nXFk5BRQWC+P/IwkIqPiyUhJIzfWgYGDqNRkUvPSScluQFKYjbCYZHIad6JPv/Y0TPFgNyCqcgrzalPJLj6d1ikHjt13EB4VR2pOEtEJmdRv1pLW7ZqQFJNDiyaFZKWkkR/rBBxEpSSRlpdJWl5DUsLshEWnkN/mNHqc0pRm9VOIjHTtfx8ZuKKiSMxNIyk5BrfdRVhUClmpaeQkxpORmkpOcizxDVuSFxtJQlZD2jSzMXeWndMub0laTAIpiRkUJobjdtjwJMSRnJdOVkY20eEu7DY3cWk5FBYUUpiVRLTLpMZnEJFaSJPWXTnnjEYkuBx402LxRBTRvHVanfQE31tjEuG24filKZiPAr/fD0BZWRlVVVXYbEf+BzHDMEhOTsbtdh/6ecuyNMGJiIiISAjp0qXLES87ZcqUo1Lm2l0+suNcxyXsW7fbR3q085AXjN+NtD20n3/29y7+ax1u8zVr5jBp0gfMWLkNX42JGdOIRqcN4souR/9md7s+e4XJyzeQctltdPgd82YcuC8H/ly2eByvjXiVOVE96T/0z5yVeuj1Q9G63T7SY5xHfMH41Sq44yXIT4XhQ39dWb+mqR7VZm3NZ+TrK9jtbsPN/XN+x3YsftPJ4xi/R+XQpi6EW0bCBV3g+n5Hvt6GUj+JkQ7CnId60Y7Ci/mjdmRhYZy0DaSUhcOf4rVPluK9eCgX9mtLrv2X1/pdDjqRW1jGT49e0FfOmsljeGv2fDaV2oiwm+wpuJy7LismIeyHCv7Wt/SJYEOpn6QoB27Hsd+BqqoqLMtizZo17NixA7v9yF9km81GcXExXq/3kM9rGK+IiIiIhIyf/2r+K7+4H+Pv+YfbvGlz4HS5cdpt+DwZNGndgV4djs2sFu7c5hRHFxD+O//8bxzmZ9PmwpNZQovCjnT5AwV9x9uvaapHtVkHU2jZNAyf43fOi/tbU4GTNEyQQzkKL+aP2tHJG/QB2HCEh5HU4gxKmjUi61gHffCjE/mhj55hGNhdLlxOFw6HgTPlFC4+t5g4t/1Hyx3TmsoRUNgnIiIiInKisMCTXcLpF5dw+k+fOrqXrpZFZFYjirKOydbBgriGfbi0YZ8fHjipL77lxyxHKk0b7ktxT+aePCInGsuKptEVN9Lo+wc4IU6fNmckuaddxPWnXVTXVZFfoDvkioiIiIicKH7mYu6oX+cZh+uPd7S2/4sPyEnuRx2BROQo+cn7Se8v+ZUU9omIiIiIiIiIiIQIhX0iIiIiIiIiIiIhQmGfiIiIiIiIiIhIiFDYJyIiIiIiIiInjmA1VXu2sqYseHzKMwME9m5m1a7A8SlP5BhT2CciIiIiIiIiJ47yNSyf8Sr//Kzq+JTn38veOf/j+o/Kjk95IseYwj4RERERERERqWNB/AEf1QHAbsfucBPhOl6RhYHhCDs65Vl+Av5qqo5Tp0SRQ3HUdQVERERERERE5A+uYjGfzfqGlZWncnVXGzYDTH8F/tK9bKt2EBEbR2y4DV95GT7DoNLnIj7Og616D7v3VlATtOGOiCXWG4bDrKbCZ8fhdBHmCFK7t5agZScs2oVVU0FpWTk+XHgiI3Fb4HYbYFhg1lC1awu7a2yEx8QRF+EkULGHgMNG9Z5yqk0H4d4YYiJcWNXl+GwunG43DrOW8pogQXs4MbtmM3vuAr6KvpTrOkZi1PVxlT8k9ewTERERERERkbpTtZH5H7zFvTdeya33XcOT8wyinJVsm/sif+vRhNyGZ3L1C8upMX3MfuBc/j38Zrr9dTwba8tZ+Oowzu1Sn9xmrTjnlpf5YnMA1rzBg+On8dFqgK1Mu/VFRl47la3sYsm4uxnYsTmNO/8fNw8fx4vXjmSxy43d8lO17n0eOrcl+XntGfTfLymzYOHjl/DC2Ef5U68SCluezoX//YTVFbD+rQcYP2kiK4PA9qnc9dqrXDFqGqumvME/b7yWh244l7c21vFxlT8shX0iIiIiIiIiUnc8GZR06cmtDwzn1ifHMbSDjQ1r9rDq2xSunbOTmm+eocOECSywmdick1kQfwtfv3ghOav+x/Uz2/DQ9DL82zcwvOF4Rn84i2+22YlwO7AbAAZ2lwuP12TFjLeYOKOCKyZvZffy57giYgnjPnUTBviqA8yfXEnfjzZRW/shA6ZPZnEQcH3CtJ3tuH/WNqo2PUO3Dz/i06lr2WIPx2237wtVDDsOwyIstQmF3fpz9/138q83P+ScDKsuj6r8gSnsExEREREREZG6ZZoEgwGCgSD4g3jTU+g46EyygRorgug4AywHNts5XHh6ISZQuvxLUk5rTWbYvmij6el9+WxPFd+WluGw/TCA1sKG4dxB6cpYwtacRusMgCjSm7ehqxnAj4UrPJz2lwykqQuwIvHG2rABwWAf+vRoQooToJim7arAUUlltYFh/FDC9/9Mk2AwSDAAaBCv1BGFfSIiIiIiIiJyAjD4IUGzgc3NvhANrO87yVlY9n0/xTZsy/bJn7OmwgcEmPvB23SNjaBefCylZeUETAtKVzBv+woWetNILiqjNv9TZq0BgmWsnzubyQ7H/skMDCx72PdlfMduf493P1rIpmrAmsf8mZEYwSgiPeWUV/oxLdizci6bly8h3uH8YU+U80kdUtgnIiIiIiIiInUrOp7AtNd447IzeWRWkAinRcDc/5xlYQaC+/rOBfcFbFhAwyE80eFLbu0UixGXyfWrzmVQj1PIPbU7nbeP4h8t4sm5eBwbY9Npm2WQ124APTrE8EL3RKIbDeapzYm0MiwCgGUFfygPvi8vSF+6p87m9nbxuFKHMqXPGXRpn8WpXbqw+92/0SY1l/NHb8Wb3YFCfw1EJ7J+xvvc1aczYzYc74Moso9hWZYGkYuIiIiEkC5duhzxslOmTDkqZa7d5SM7znVcejKs2+0jPdqJw65uE3LiWrfbR3qM86ChhD/nq1Vwx0uQnwrDhx7jyon8DlMXwi0j4YIucH2/I19vQ6mfxEgHYc7DvSdM/NVVVPssXB4PLiNAjeXC4zSwLBN/lQ9bRBjUVGK6InDt77pk+qqorK7Fbxo43R484S7shkWgpoqqah+m043bbsdht+NwOTCAYMDE5t/Espnv8cCr6Tz+4tlEB2qoNN1EuAzAxFfpwxERxrx/n8/yMx+ia7qXcAMc4R48Lgc2AtRWVVHlN3G43DjsDmw2B26Hia+6kmo/hEd5v6+nnBw2lPpJinLgdhz77xhVVVVYlsWaNWvYsWMHdrv9iNe12WwUFxfj9XoP+bzjaFVSREREREREROS3seEMj8QZ/t3vdjz7fzIMG66I/UNswyIOXsvlIcrl4WAGjrAIvD9atnLVDN54/HYefHsGmypSaXTapQy9589EAzjC+GHpH8oza6vwG24iY7xEHZT/OHBHeHH/ZD/suDxeXL9iz0WONoV9IiIiIiIiIhLywrNbcM7tL9Pl+mr8ppOwyFgSkn++N1XT60bQ0BOHR53J5SSisE9EREREREREQp7NFU50chbRyUe+jjsm6RC990RObBo9LiIiIiIiIiIiEiIU9omIiIiIiIiIiIQIhX0iIiIiIiIiIiIhQmGfiIiIiIiIiIhIiFDYJyIiIiIiIiIiEiIU9omIiIiIiIiIiIQIhX0iIiIiIiIiIiIhQmGfiIiIiIiIiIhIiFDYJyIiIiIiIiIiEiIU9omIiIiIiIiIiIQIhX0iIiIiIiIiIiIhQmGfiIiIiIiIiIhIiFDYJyIiIiIiIiIiEiIU9omIiIiIiIiIiIQIhX0iIiIiIiIiIiIhQmGfiIiIiIiIiIhIiFDYJyIiIiIiIiIiEiIU9omIiIiIiIiIiIQIhX0iIiIiIiIiIiIhQmGfiIiIiIiIiIhIiFDYJyIiIiIiIiIiEiIU9omIiIiIiIiIiIQIhX0iIiIiIiJ1zTroP5ETlwHWb22oxlGtiYgchsI+ERERETmpGICpREROcL820zAMcDnAris0OcH5AxDuAtuvbKsGYP3mlFDk+DBC5E8u+igRERERkZOKx2Vnb22QgBI/OUGVVgUJc9qw/YrILzYSSgogYML4mcewciK/w7L1MO1raJYPBam/bl2Py0ZFrYk/qHO3nJjKqoM47TbsIdAD1XG4JyqqfcezHiIiIvIHExnuqusqyEkq1mNnT3WQ7eWB3z6UTOQYMQCn3SDWY/9VPZ/yUqFbCYz8GCbOh4/nQtA8ZtUU+dVsBtjtEAhCg0zo0eLXrR+z/9y9syKg3tlyQnLaDWI8dhwhkPYdNuwz9c1JRERERE5Adht4w214goYuGOWEYxjgsBk4f8PF4in19rXvT+bCgtX7hkuKnCgMAzIT4fQW0KkJOOy/bn2bAd4wG+FOnbvlxGMAdruBKwSCPviZsE9ERERE5ETlsBk4bKHxhVzkOy4ntK4PafGwt2r/JAhq5nIi2N8Ww5yQEgtRnt+2GbvNwK5zt8gxp7BPRERERETkBGEYkJVU17UQEZGTmSboEBERERERERERCREK+0REREREREREREKEwj4REREREREREZEQobBPREREREREREQkRCjsExERERERERERCREK+0REREREREREREKEwj4REREREREREZEQobBPREREREREREQkRCjsExERERERERERCREK+0REREREREREREKEwj4REREREREREZEQobBPREREREREREQkRCjsExERERERERERCREK+0REREREREREREKEwj4REREREREREZEQobBPREREREREREQkRCjsExERERERERERCRGO412gcbwLFBEREREREfkDqa2t5dtvv2Xnzp2YplnX1RH5Xex2O8nJyeTn52O32+u6OieF4x72Wce7QBEREREREZE/iOrqajZs2IDdbqdly5bYbBrQJye3QCDA+vXrWbNmDdnZ2Tidzrqu0gnvmIZ9hgGWBf4gBCwImvv+gUI/ERGRPzqvp65rICIiEnoqKyspLy+nSZMmuFyuuq6OyFGRl5fHggULSE1NVdh3BI5p2BfYH+4FTAObzcDlMLAsBX0iIiIiIiIix0IwGCQYDCrok5ASFhaG3+/XsPQjdMzCPtMCX9AgYBo4bAYRLhselw1DN+0TERERERERERE5Jo562GcAJlATAMMwiHDbiHDZcNgMBX0iIiIiIiIiInJc1AQtFmytZumuGhZuryHMbnBKmof6cW4aJ4bVdfWOmaMe9pnW/vvzWQYe576gz2lXyiciIiIiIiJyIgoEAjgcx33+TpFj6ovNVfz3yx1sqQiQ6LET4bRjWhZLv97NnhqT5inh3NY2iSRP6LX9o7pHBvuCvkAQnDYbYU4FfSIiIiIiIiInqqVLl3LffffRt29f+vXrd9xDP8uyMA4cBmhZHDws0MLC4JDJggX83KpHso1fW9+Di6yDDf6GfTnSMizA+H17+JPX86Dnfvz6/Hhfjs7RrQ6YvLakjGfm76JBfBg3tU4kNsxOeqQTv2mxodzHtsoALy8u5aL31nNn+xTapHlCajTqUX8XBy0wMYgOs+F2hNCREhEREREREQkhixcvZvTo0YwaNYqysjI8Hg9dunTB4/Ec8TaCNTtYNOEenpyYz5X3X0fruP1PbPyUWx59k21byvEFfHjrd2fApRfQPSeSdR/8iwkVDTm1c29KkhywawHjJy9lbWQrru1VgFW2lKljn+TtVa348x0X0yQCTH8FKz/4K8Mn2Gg45CGGlkSBsYmpNz3Iip43MLBDDrFuMDfM4J0xb/Dh3FIC2e04+8KB9Gwcj5vdrPzkXUa9MpGVpgXBAIH4HPLOu4b7c1cx/K6XmVvjI2jZiM3pTP8hl3NaxsGZxr4oqpRln4xi7Nufs7gqmQbdB3JRn9bke79bqJJNs8bx0htTWVTmoKh1P/oN7kWzaDD9VXzz4Q089j40uOoh/lLiBWMzn93yIMu638BFp/qZ/vSLfLBwNTtNwFdNZYuBDB3Umsy581lQlkz7y9uTaYB/51I+evlV3p21htqYfJqdcSYD+rQhyxkk+O0nXPfIJgbfeSmtEuzYjC1MH/YQSzoN5YL2Bl+OeIn35q5ih2kS8EeS3e5szj+/B82T3YAB5WuZ/t4IRi2MZPCNw2jrXsoHw//Oi4sjCAuPINpZS1mFn6DZnD8/diP5X9/Iw9WDufW0JqREOKByOZ+NeYs3P/ua8vBC2vW/iHNOKyTeDqUrP+btl0exLKIrg//yfxRHVbNryae8+fwsGt5yPx2Tf3+7fmvlHp6cu4seeZEMKYknJ3rfZDXztlYT5rDRPScKgIJYN68uLuWaiZt4b0AOqZGhM8uv7ahuzQDTBNMycNkNbMr6RERERERERE44fr+fMWPG0KZNG6Kjo+nevTtz5sxh1apVv2IrQaoyCp9ZAAAgAElEQVS3r2DiXz/iy0WjePLzPT88tfVzHvrvQnZHJ5NZUEhy9VxevvlpPvh6D7U75vLy25P4aPluACpXvcfUKa8xZ7sTO7Br0WIm3fEeny0cx0vzfMC+oGzNtBE8NWkS7z40lY1BgO3M+e/jjJm9iQoLrNVvcNtT45i8xUVSfiFpvvmMfWIkL3y8Dahk9ZSpfDxuBcGMQvKys8lOTyM9IsjedXN5a+QUdsfn8f/s3XecFdXd+PHPmZlb9+7e7Y2ttKV3sKMkdmOLNYlPYsyTmCfRFJ+YmP6YmGKSnzEaTYwmamKvGAULKAKiSBGQzrILbGH7Lttumztzfn/cBQFRMSACft+vF/K6U86cmV2ZO9/5nvMtLysh036bB66/nheqbRz9zikp2ln8xz9y36xqetPLqKrw0/7K7dx17/0s6wLsRt545E5+89fX6ckZzNDSLHT9y9x1w2+Y2wSGG2Prgr9x59w5PPO7edQlU+ew/P/9iccXbycS3cLLf57NqkaDzPLBVFZUUFGQS463g9WzXmT2kytpVxCvfZ7Hb72RmTUeSoYMpiTXpHPh3/judU9THQW3fiF33PEkb3e5uBqgnbdu/SOPL6qnL7KVV/86m5VbXTIqqhhZ4rL56Qd55J+vUuekznNH7VusePAenntjGTe/2oQKppFRUEl5cS6+hlnc8VIbmeVllJXnke6Ftjdv4dZX19ORsKDzdW7/+V94ZnUfaSXDGFqQYPXDt3HH3S+xTUNs60LefOqf/OuZBTw8pwtI0r15Po/fchvLOv6jX+U9rG6L8fj6biYU+Pn1yUW7An2uhrlb+3i9sX/XtscWB/nVyYW4Gu5c0UEsqd+r2SPOQc/s0zp1EY+m9EchhBBCCCGEEOJo4rouU6ZM4dxzz8Xv93PWWWfR1dVFOBze/0acblo3r+Cp9K/yh+uq+c7ji9lxzhlkApgefOo8rv39Dzk9DehfxZ8uvIK7Zo/nt+dcxKTH3qTz7Uai0/OpXdJMsLeU804tB7ayuraJt4d8lR99oY07nlqKfdIJmCisNOCS6zh7zT+YWX0m14ww8Wd4SPN58JltzLvpr7xhXMS3f3wNn60EEku5/arrefoBm2HjvoDPU8TYk0/ixzd/hfJdJ9FH0/wAOcHT+fofb+J0A+hdwV2fv4AfPfU5Jnx7IoX+VJ6Uveo+bnxmI2Ov/AE/vHISWUDn09/kit89Sat3Ir867jVmP/EcrZN/x69/dAwZQGzDTH7/vV9zw12nM/dnQwfO4Xucs+Zenqk+i2tHmfjCPoI+C6VAmWO46Lo/8K1z83e70OvYYPkIhoJ4Y+28NnsWdy32c/Xfb+TzAycSXzOTP88J4zVBmX4UQTy70rtMvOlB0nwWhpEAYxTnf+smrru0FKjlvvO+zb/nr2PbN8+gLNjKxtX11PvP5dsXTuL5+16m+dIrOOmrt3ASmqZHt/OPWV/iD785h53lLdb6g/j8Prz+Pjb89ac8tW4iV/z0er5yXBYQY81fvsMNs2diDx/LVT4fJVNHcGxOFbx2P5sv/A4Bj59gKAPvAaajJRzNM5t6sF3NDcflYyroiTu8vK2P+XX9LKzvJ+gxaOi1Kc/w8OVx2YR9Jr//VBHffLGR0yvSOaEk7ahIXDu4mX1wkAevCyGEEEIIIYQQ4mDz+Xycd955AHR3d9PZ2cmxxx5LRUXFfreR7Gpi07J/ww1XcPqMs5m64l+81vXOeqXi9Hf3YQOkjefiKxKs27iQdZ7RfCq3Hm/TBppjW1m9NcwO3wyOHwTu5tXUNC0l44f/zWcnTGLY8kdYZIOhNCgDIzyZS66yePEvy2nDRWsFysSKrGbuC15OP3EGJ1YOdMA7lc9/52t87fyRZDoOhreHLSsf5Kabfsevf/n/uOOehTTYFpYBWifo2zGwX/pELrtyAivum091zMYdWNy49CGWjzmGE6aPJGtgWfbZ1/E/X/0qM4ZE2LBkBf0dGVxwZSrQB+AfchKXfe543rr/dbYZRmqGuvBkLr3Kw5y/LqMFNzVvnQYw8QW38tI9P+f7v7qJ//vpo8xZ0Q2YmAqUaeG01rC+MULL+K9xeTnEm1bw/M9+wf+b00jeoCb6uhVol33lqLlagzbxBet5+b4bue6mv/Hww6/QMWoGp194AsOCQNMaNjTW0zrj21w1fRBn9TzFvxtT++tYNz39Ntj97JbDiUYBCsvbwJsPLWfs6efwqYk7r5CfMZecS4XPw1vzN9FhgR0qY+TE0RybuY4/v9CI139wQlPVXXE2dcWZXBigKtsHwPa+JLcubeeVbX3kp1kEPYr5dX2saYvtukafLg9RmuFhQX0/vQnnoPTl43b0lRwRQgghhBBCCCHEfvvqV79KYWHhrs/vV2ThHS69rWt5/V9z8X/qaf7cvonu5sd4cN5tnP3Z7H1nFikDNxalX1Uy/XSDV7Y189bcN6jP8WJMPZYyYNvGFax57N/09Z7IHdZrtDXO57HXbuWUE1SqXxgUf/o6qm67lTnbryHuGRhZ6Lo4hvddKU0Z5aMo8SRJtxL0GTb9XVtZs+R1mpNBCocX8yl9zK4Mtd1pTOiKk3D1O4EzN47h2SvHyZfPhHF97Ai5NK3WGLbC3KsIBdqDEde7PitXUXzq/1L15z8xt/GbxDygDACFafbTXLOaONtQvZrSE0+G3YtYaBdMF9OrMAA70s62NxbwaqKR9Qs28j9LP88NoXRKMfGYOy+GiakcAqaBUmCa/bRuXU9/tI4lTyQZd+X1fOfz0ygE2mrWsOb1Z1hdVMwj7at5zZxP9IVGvvaVQR+Q26VS55pQWHtHGpWJSpqopAalcRMG2YMnMiS3hn8+dR/rLwjgOQiJY1t2JEi6mnH5gV3LIraL11TcdWYJ4/L9OKlxzShjzyInJ5WmUbsjTtTWhH0H3peP28HP7BNCCCGEEEIIIcRhJxKJ0NjYuOvzqlWr6Ovr47bbbqOyspI1a9YQjUZRStHX10d3dzfJZHLfjSXbaa5ezrPNU/FXP8XTz6wmNnIk8x59meaBYI/WHnzBIB4AZzuvzzOoHD6eITnpVBxzJlqbzHl+Fm5IM2VSOehNbKhtYmHzSOyVTzJ7YR29pWXMf+JVdljWQDhJQeZxXHNVK7MeriNR6aC8Lk5wCFPGd7N29Wo2tuzsZDfz//gDbvi/O3mhMYlp5zHmlB/y0L9n8uzsh7j71s8x0psg6YJSFv6ddUli21j08ibKv3IcwwKpeQQBckd8hsqNm1m7tp7ozkOsf5hf/eCn3PiPWtLGVeEtifLawoZd2YBO60beXL6C8vNHku++k3Hnho/lmi+38vyj24iVOSg/oJNE+kZw+c/+xbPPzOalV37KV84oBG3jANp1MLMGURrOIG3dy8zrg9CQ0/j6nLncd8O5DPWm4/OAKi7lVNVAY1uCVN3UVrb1Z1KQE8bvcenvHcbFP/oXz897ml+fl0H9oleZuzYBtLFp43bWrrNIq3uRp1+rpc2ZROfjs9gMA5V634uLY+dRdfZgNlavYs22+K41bUveoC0QZfCUEjJsF9e1SYSKGDNyDJemLebOlQmKLPaZjfhhNPXZuFozNMu7a9nOehKvbOvluc09zKrp5aUtfTT22HvsO6EgQEOvTcxx9272iCSZfUIIIYQQQgghxFHOdV2qq6t56qmnuPHGG3njjTd45JFHuP766wmFQmitefbZZykvL+eiiy5i/fr17Nixg8mTJ5Odnf2u9hJNG1ny2mt0//wpVlxTklpYfy+nV/2T2XWf5b9dB1uvZN4TjxIpzMBsnM/ja0/l8ktOZkwOkHMCJyXv5J5X1mMOPpPzqsBZ9RqLalvI+9OLvHhpJgDdC2/h4ovvZ/aPJpPnaNxkKhhTccHPyf7i3SzDodd1SFDJef93Li/9fRGzH3VoGVKMr/1NXlozlJNO/hJfmpzLm091UL9hMw89WcZ4s5+ElUFWxWCqTJv+yDpeefw57FCCeNsKnllVyc9uO5Yin7nrnEPT/4frn7yZOfOf4Z99wykPO2xZ9Bq9U4/l/C9fyAnlm+iqaeW+l+7i79aJFBs72FG/mtc6S/jJj06jyO5gTRK0ckFD+YU/J+eL97Bc2/RoDdrFiUfo7e6ik0qKdx5YaZyETSIaI5lRximnHU/Nhod44NYH6R8fJqF72PTCa2ywbc7SoLKGcso5Ds8+8yCP1efhbVrIyqrLuHxSGWF/G4lYhN7OFroYzPSvXMA9X32KZ56ez/mFSV5b04X9pUdY+JPxAPQt+xc/P+9unlz3NX4wTKGdBDrh7BGY03aUuG2TiOVy7Nd/wNDfvsKrMx+gr6qIbN3Cslc2UzThDL545lAy5kWI23GsGDB+JKPOGceNv/w3I22H4QcY7VMo0jwGoXcmK6QgzeLEkjRmVvdgqFR2aHfcYVpRkH+eW7Yruy/bb6J1qg7F0UCCfUIIIYQQQgghxFHOdV2ampp44YUXOO200/jxj3/MddddR0FBAQBKKc477zxuvvlmotEoiUQCwzAYOXLkPoJ9Lv2JXlwnh2+fMGjXMqdoEl8+/S/U1dmQP5gzz5jFS7fexCw7QdakS/nG3d/nknG5pPKuRnD8OD8vr5lCzuATGQk09cQoCBXwpfGZA20mMYaM5vMnzqZlm8nIodM52RqYDS98Et84+zauvncKY/LD+FzwTb2ev2bN4m9/uZdb7tlGsmQal333W1x5WhVhmskdWUxm2gIe/Nl3ech1SGZUUnXZj7jnvBJGTo7y0s3f5wUs8kZcwNf//hSXjfDscdaaCj77p19Q8did/PXOX3BbX4iRZ36DG75xEVPKDGAEn/nKDxlW8BduvvMnvNHmYcJpX+Vrv7mJGcXgxD1kDzmJk6yBIijpJ/GNs2/n6n9MZmRuGJ/PYNiJ4wgMSmfPkaRpFI0awaieYgIawhMu53/+r5R//fYWbnqgFnXcuVz5xZ/yh423YoQA3yS+eM9v6fv9Lfz655sJlJ7Ff/35ei6bmgFOmCEnjMNXGk5lXBZO4eyJq3jL08u66jiBwenMmPLOvI2qeDDHXB3grfpOGOEjOGgCJ40r3KN/oYpP86mcQtKUDeWX8qdflvPEHXdxxy8XsyM0jrP/+3r+95LJlPhhe+ZQho1K4E8HKKC86iS+nvUEj376U1Smfdjf6j2leQ12xBw2dyUYmuVDA3lBi5+eUMBPTyjYtd2b2yN8/5Xte+y7vDlKpt/EYx4dhSiU1vuOW/ZE4vta/P6NKehPgO0aFIctzKOhhIkQQgghxBFmxowZ+73tvHnzDsoxt3YkKM/28oFTPAkhhPhItbS0sG3bNqZNm7bHcsdxmDt3Ll//+tfJzs7m6quv5txzz6WwsHDX/HzJZJIFCxZw++2309bWxsUXX8xll11GUVHR+x5T8+FrdWrNnvcMlz0mGvtP2nzvnXSqCMaHbe/DHeIjK1i6Z9MfdC7v35H9betdP5/3bHmvpfva8T1WvXvT9+/7woULmTBhAunp6ftcv6wpyp1vtTMuP8B3puYCEE26VHcmiCVdLENhu5o3tvfzUm0fsy6t3HW0Lz5bR1nYy3VT88gOmPts/2CLRCJordmyZQttbW2Y5v4f1zAMxo0bR0ZGxj7XS2afEEIIIYQQQgjxCeDz+YjH44wdO5b29nbuvPNOrr/++l0Bg7lz57Ju3ToGDx7M6tWraWhoIBAIfECr/1mM613xoL0qCvxHcbP33OngBPo+4BAfGbXXpw8ulHHgbe0rXrfvbfda+j5v/fZe9e5ND+wiloc9pHlNljdHiCZdApbBtm6bb7zYwPqOON0JB1MpStI9fHNyzq6jbe+zWdYc5awhGQQ9R0dpCwn2CSGEEEIIIYQQRznDMJg8eTIvvPACyWQSx3FwXRe//51atKNGjSIvLw+tNV/4whcoKCh4zywqIQ43eUGLc4ak87vFrfxtZSffnpLLiBwfr/3XUBKO5rdvtJITsPjm5Jxd+yRdzc8WtjA408uZg9PxW0fHEAUJ9gkhhBBCCCGEEEc5pRTp6emMGzfuPbcpKyujrKzsEPZKiIPr0xUhFm+P8PdVnZxUmsb4fD+mUiQczZAsHyHvO5l7/bbLzE09PLi2i6VfGkaW/9AM3z0UJNgnhBBCCCGEEEIIIY54HkPx9Qk5dMUczn9iK9+blse1U3KxDLh8VBitU/P42Y7mB68288SGHfzl9BKqsn0f3PgRRIJ9QgghhBBCCCGEEOKoUBiy+N2MIqYWBbjxtRb+tqqDSQUBRub6iTsuK1tirG2LkeU3eelzg5mY/8HzUh5pJNgnhBBCCCGEEEIcJQzDwDAMtNa7quwKcaRzXRfTNPf7d9pnKq4YncUVo7M+4p4dno6OMiNCCCGEEEIIIYQgEAgQCASora1Fa/1xd0eIA+Y4DtXV1WRmZuLxeD7u7hwRJLNPCCGEEEIIIYQ4SoRCISoqKqipqWH+/PkS8BNHPMMwyM3NZejQofh8R9fceh8VCfYJIYQQQgghhBBHkbS0NEaNGoXruh93V4Q4YEopDMPANI+earkfNQn2CSGEEEIIIYQQRxnLksd9IT6pZM4+IYQQQgghhBBCCCGOEhLsO8zIbApCCCH224e5acgNRgghhBBCiE+Ewz6vVydt7K42tsY8aF8aVfnBA2kNiNPVuIOo9mDm5ZDtBc9HVI3c7dvBjq4etvVBMCePvKwA2bsXjtGaZFcrbXGTXk8GlVkePKaURhdCCLGfVJJ4fz+dzd20JxyiLrwzB7dGY6DNAIOKMijODBz+N30hhBBCCCHEATvsv/frWD+9699idlMGyYJKhucH+c/DYQ7QTe2yt2lMhkmbnsPUbPB8RHM8JpvrqFm1nke2GuSPncYJ48s5seCd9dp1iG5ezVvtfjaGR3HV5EwyJdgnhBBiv8Xpbatj5dy1LI6YdGHg35mzr11cw0PSl8dp04eRmxnAhAO4h+7WrqtJaoVlGhhy2xJCCCGEEOKwctgH+1IUSinUgT+i7GrroDT1AbQGr88ipzBAb2MzDX6TvoISQnt0R5HqjjwtCSGE+PC066IMk4IRk5lcnseUXBtH78zwU2jDIpzux89BuvW1VlNT18ljHXlcMnkQw/MCB6NVIYQQQgghxEFyBAT7FMpQGIbCOOAZBi3AwDQMDKUOKBtBsz8PTRrlDRDILSGvpZ20nibe7hjEuExFaCCbUCmFUgbmIYg/7l+fhRBCHGkMwyAYzqaoOJ3izI/4YP50QtkGo7zppPs+otR4IYQQQgghxH/sCAj2vWNXoMpNYicdbGWi7CSO65JEoUwLv8fEZw1EBbWLdpLEEg62o8BKAgnijt4r6uWikzaRuEvS1WilQBn4fR68loEBaDtBwnFJKC9Br4E5sE+/Y2CZJn7PPiKR2sU1vCQ9BYwdtIMAfbyxoZtBYzIIhfexvUr1JRlPEEtqnIG+KGXg9ab6khrl65BMuiQSGo+pSbou8SRgGPi9JpapsaNJbFejDRPL48FvGZg7D5m0SdhJosnUjE4YBpZpEfBZyChiIYQ4MmnHwU683wYurp3AViaOBmWn7hOuYWJaJkGvhekmSdpJ4sqDxzLxDsTyXNsm6bg4phdvRhGFGZrPOGCZBrgOjm1jKwPH0WhHY/p9eC2FqR3suE08qUkOvHEyTQvv7vdqIYQQQgghxEF1RAX7MAwUYFevZtOOfjYECvFWb6G5rYctKkCguJwZ40o4sTyc2j7ZQV/9NuYsaWZjZ4I+fxoZBdkUdyXIzE89ZCgTiHcR2bqRp5d2UtOVIG55MUI5nDBtOMdW5ZCFpn/TKt5u7GdZaDQXjsuj1OggVrOOR9qKKCkp5MzhGe/qrkLhOi4xnSBzRC4Zvd3w+kbaKkeRG04nbc+NUYYBnXXUratmzuZ+mvod4oYHT1oGUyePZuKQHEr8AM3U1XWzfEmCkWXd1Hb0srhOYwRzOGFaDsNyXdbNrWHDDpu+cC4VVSM4oyqLQRmpH3eyfgMrNjQwd0ucqOui07IZVFbKBSdVUOQ1JftPCCGOQMowsTzvvd6J9NG9djlrvdm0xEy8m2rY0OvQlZZNYUUFlxxbQkF3A1ve3sSi0ARGVeYyrTB1r9yxaR1bG3dQV34Cx+c04XS382x1OmceU0GZ2Un7mrd525ND4/YITmecounHMXGwl8JoIxsXbeLN+n42R8CwPBSWljFhRAnHD8lE8gKFEEIIIYQ4+I6sYN/OMJQdpau5g422xZDsAiqLMymK9bKxtpmmxhDbSsOUGi6xhmY2bmhlSzJMyZAQBRmQjHRTl7CJxg2GA57kDtoam1hdmySnvIKCEV68bhy7s5W2pmbeUF7OHBYiVBQiuKMPu7qOjmEmPqeX7ZsjZJYHyMt9j/mKFDiuQyQexQkUkOf1MCZtE7Xbu9GhdKams9tQYo0y+ulrbaepsZ9kbjkjhgYosiLo7ja2tLSx2uOnZHga4GBHd9DZ2sPajGwy8jI5KSNBU00L29b00ZIfJru0nIn5HXT2RdlU08L2QSEGZbjQUc+Sbf20GjlMnRrGa2qcri5ise28WZ3J+NJMBmfI45cQQhwplGGgtaZjyxre6EyjPuiiNSQd8AfTqBw5lMpciwzt4kb6qKu3abKyGVU5mElWD61tUZq2NFA7vACvxyQUsGlpaCEnww+FGUAnTR191LdD1nhF0BOnLRqhtdtLIqlBJUn09bC52yLpCzNqTCHFOX587U001G3hjTaFp2AQJ2V5MOKdNDQ3U7tRkZ6VyYTsj/vqCSGEEEIIcfQ5woJ9KcqySCYVsX6DwuOrOLbYwGdvwbN1I53dEeoiUBLqZntDJzXbNcExVZw4IZ9KfwRn2zqeaOyl1VGgwezdTl1DK4sbPBx3Yj5DBmWQYe8gTjNPVTdTu8PDcYOHkZVdSnkljNtcT0ezwXbHIp4sYPzgXAZl7juVQqHQrksikSCezMCTZTJ2eC0btney1ZPBhHEhNDsLj2jQCZKmF19WIWOHD2NYvp8iu5XumnberukkotLQw9NQmJjawWMk6c8oZfzYIkak9VEXb+HZ2gjVFHLZZ8Yyzt9Ax/qt1M3vojtu052M4WuoYfl2H0ZuEWcNLSbTA/bWCFuqW3hufQshn5fBGemH9gcqhBDiP7bzHhLr6aS3v4deU6OBpK1JC2cRrBhMMYChMCyLaL8L2ekMPaaK4d4uOqqrmftSC607bIrLw5RV5JO9uYNETxZthMiLNtISN+jwF3JcvkkoadCKic8zUIlXGSjTQ1/cS3HlII6fkk8ATc/aZrZs6qQ5fTSfmjSYE4oscOt568U1rGprZnndYCZkS3EPIYQQQgghDrYjMtinHQcrFCIrr5zBIQ8+HGwnSMhvkrAMTEdjuK109DlEjWwmjssmyw/gwywdzKjcHsLaRWuN2xYhsaOH5m6b515sxTQUCg1ukr6In4LyXrai8REiK5zPieObeHJ1Pdu9xQwbO4bcgI/gB/RXKYV2kuALkD62gtLaRvq2e1hfNZJirTCVBm3gJjPIHJbFpPJ+4u2NbHu7nTfruqhui9CASVWOSw8QRqO1F8MIM2poOoVpQMIkI91DbmkuTnYJQ72A6SGZ4Sc/2YupNV1xF9Uawe7pprapjW0b1qAU4CRJaoOot4P+aA4R0gkgxTyEEOJI4LoOShkUjprGiUMLOaHAxtXg6tT9x7QsLMB1NVprAgWF+AuLGOIB8JJUfjL9Bknt4voyUDkFVHnX0h2LsbXDJbeli4iRRrQwh0wNuBq9+w1Ca5RShApyyc5MJ4AG2mnujdIRDTFuahmDsga+bhiljCjdTp+zg5ebmmFC5aG+XEIIIYQQQhz1jsxgn9Z4PD4ywjkDhTEcQGEolQpeoUHb2A44WKQFLVK5dwYYPgKWgd8BF9DxBElPGoHyXM4ckk6mzyDiKAyPB58ySQ/5yTZVan/LSyBk4ERi9CWTJLw+rP0t6atdIIDhHcTEQU2s6uli0ZpWzoglMS1fas4+04CuJrbV1rG8xUZ5/GQW53P8oB6W1JpYiSQ7517Xhony+Uj3mvgBtMJUCo9l4fV4SNULUalMDq0BcBwHbWuCRZVMCGczMRdsF1zTxPJ48Vse8nJDWEigTwghjjSmx0cgCJZn39nmWqfun8FgBkZ6xm4FmVIZegqNi4HpyWJkgclSt4e3a1sJN/XhzcqjtDQHS5EK9u3dsFKEQmGCgQCpu6tN0nGwXZPMgBffbl0K+Cx8liYef79qIkIIIYQQQoj/1BEZ7AONaZp4vdZAVEoDOvUggyYV1Esj4FVYOkpza4yifD9pOBDtoi1i02kosgCV5sH0eUm3QwwfMZRBO9P0dITeXpeI6yE7NSCXZLyflnaDrIIQhRpizW30FuSQ7tmfOe52PhqFyB+WR171DpZv3EZTVpxuTwYKjWH20VG/jfWrGtiQMZQxwwoYkZ8krTfKhgaNnTqzFEOBaWJqPbBM42pSGRZa42jwMPBwN3B0y1R40yyMSIi8omImV/kHGktCf4SmpJeQz4v3AH86QgghDj2tNa77wdt5PB6MXXf/gfvnwCfXBawAeeVp+Op7aaxN8lavomBQGhWFip2zTuz5Qii1t8/jw9rVboCA10PQ6qe1vYfezEyK0gDidPRE6YoaZGSEDuyEhRBCCCGEEPtkfPAmhyM1kKGQ+rMHnXoKcVU++WEPYWMHq1e10tKZBKePvq1b2dgRYWtcoQyFUZBFhscmVFfL4i3dbE0AyR7sdUt49sWlPLBwG11uakhSa3srr27yUDm+jGnDPLB+PfU7InR82O7nlVOYn8GESAO1nQlq+01M5WKqLjr6Y3TaYapGj2DKiAKKvA51m7po6U4QNRS7nuN06j97n/6uVXsvczWBoI+Cwgyc5jq2bt7Cuigk0TjbNrF+wUL+Nq+WpQ19H/ZshBBCHAa0dvcr2Ke1fve9cyeX1DeDshzCnjieliZWkYlOCzLUM/Cl4WY93JcAACAASURBVD32dXe1awBZ5IVD5GfEqN5UR11LH6kXS9tYW99NXY+foSWFH/ochRBCCCGEEB/s8M/s0xrXtonFbRw79RSjkzZJ2yTu7Hzm0GjtkkwksO0ktgsOaZQOLiBmR6jfuJrZDeuYGwri9QVJN6E8LUHChXigguFDXHS8hoUr3uSx5QZey8VNOoQHVTBt2CBCZoKutVvYUhchMngUGblhinwNpOU38srKrXT2l3Hm8PC7hr5qN0nStonEHZLu7k9HIQpzMplY5eHBt7upi0SozFMk3VxK8rtoy9nC60sXUbPUICdskJ+bRXZTB71b63n2rSwuHB/HVA7xuMZx33nu0skEcTtJPLkrRwPtJInHkiRsG1vlYZSM5rRh61jVWMuzTzbiMTTKcfAHw0wdXURVgWRaCCHEkSOVmZeIxahfvYTamgDLfG5qqdZoZeF4szhu2hAm5Bm4SRsbF7XbmyPXcbDjCWzHxdEAJnhLyPW3M9jXxZrcAnxpod3eDjo4ySTRhIMz8NbNtRMkkprkbsHGUFkRg804E5Y2sHHhdt5ebGK4cRwjg9LBpRxXJpXfhRBCCCGE+Cgc9sE+5fHiLy5nXDCAm5kaY2vmFFHgVSTDEDABTEwrROGwckLp2YS8A9kHOQWUDoOJiTa2difo96QRyi1kRIGXjMwQiQCYhoU3v4gRJGllB/XdNnHTgxHMYNTQQYwuS8NLgj4jnYycEKPK88j0K7wqhyEjS6luCZA+UPlw72CfEc6loNzgBDub/NBecyiFsiioGsJou5s8lUVRQQCLIIGCYoaOTNK2LUprRBEIhSgoz6JIpdHdZ9FrKXDSCWeZjBjhkhWwSF0CE29hGUMy0sgPeQfmYgoQTM9jxPgQWWEfAYC0XIYOL8P1tRJtiBN1NToYIq8gnykVmeT5ZbY+IYQ4cngIZORSOnIIsYhNV/KdjHelNVqZJD0WHgWGx0uguJxKMx3S39k/GM6hbKQmme0nVUdDASFyCksZP85POCuP4rDvnUNaYcI5JpOGBAj7TTDSCJVUMMzvI3v3ilX+TLJLK5jcrfA1R6iLgmFmkFtUyPDyPEqlEK8QQgghhBAfCaX1vgfz9ETiH74xBf0JsF2D4rCFub/FK4QQQggh9tbcjO7rg/5+6OtL/Ukk0J2dqFAI8vKgoABVVgYBiR7ubsaMGfu97bx58w7KMbd2JCjP9g4US/vouQNFZ4QQQgghDgalFIcyjBWJRNBas2XLFtra2jDN/R/5YhgG48aNIyMjY5/rD/vMPiGEEEIcpbq70YsWoVtaoK0tFdzr6oLu7tSf97FHiMfrRU2dipo+HTV9Onil1NQnQXfUoTfu4OzHXJVCCCGEEB8k6DXICZpY5pGfuCbBPiGEEEIccnrRItzf/Aai0QNvLJFIBQ0XLYIHH8S44QZUVdWBtysOW50Rh4jtYnotrCO03JwQQgghDh8aSNgOHRGHnDQT6wgfqSpfj4QQQghxaPX14f7udwcn0Le3ujrca69FP/DAwW9bHDb64w5YBkq+yQohhBDiIFCA4TGJ2O5RMWpAviIJIYQQ4pDSixal5t/7qDgO7r33SsDvaKY5ZHMDCiGEEOKTQSn2mivmyCXBPiGEEEIcldx770XPnPlxd0N8BI6S7+FCCCGEEB8JCfYJIYQQ4pBSkybBh6g2diDcO+9Er1t3SI4lhBBCCCHE4UAKdAghhBDi0MrLw/jJT1IFOhKJ996usBAVDoPfD4WFqQBhbm5qXSyWqt67ePH7t+E4uL/6FeZdd0EodHDPQwghhBBCiMOQBPuEEEIIccip6dMxx4xJVdHt7EQVFkJ2NuTmovLy9j8w19eH++CD6CefBMfZ9zbNzbi3347xwx8evBMQQgghhBDiMCXBPiGEEEJ8PLKzUeeeywHVWQiFMK6+Gj1yJO5NN71nwE/PnYs+91zUmDEHcjQhhBBCCCEOezJnnxBCCCGOeGr6dIwvf/l9t9F3332IeiOEEEIIIcTHR4J9QgghhDgqqEsvRY0f/57r9Zo16LfeOoQ9EkIIIYQQ4tCTYJ8QQgghjg6mifH974PX+56b6HnzDmGHxJHCUuA1wG+m/rYOaGy5EEIIIcTHS4J9QgghhDh6FBaizj33PVfrRYveu5CH+MSxFIQsaIhoVu1webHJZWWXS31UEzDBI9+UhRBCCHEEkgIdQgghhDiqGJdfjjNz5r6Det3d6I0bUaNGHfqOicOGAiwDmqJw3xabNT2avqQm36doi2sCpmJipuLyMouyNIWjwdUf/ijKVAS84Bk4ZsKFaNzlQzf1kdJgmPi8EFTs0TcHiMVdbFdh+RUhBT1RF/eAj6kwLEXQA25SE7H394poME1CXtAuROMO7oGV+BFCCCGOShLsE0IIIcTRJTsbNX78e8/P195+aPsjDisKcDS81eny99okNb2ak/NNCvxQHFA0xzQtMVjQ5rCx1+bKSoup2QYe48ME/BSG0tC1jiefW8rrLUn6/OmcMvVEzj9mEMp10S5YAQPLgUTS/Q+CiaCUgdcPbsxlv+Nle7dhmLCjjkXLF/Po2ig6mSCpFablo3LwSC48dQplVpzNc57k/q5xfPczI8kwDiTApjCI0lX7NvfPaSR88plcODyIsx8XQJkmNCzjr/O3Yg6ZzFlTKskxXJzDK3oqhBBCfOxkcIIQQgghjj5Dh773ura2Q9cPcVjaFtHcsjFJQ0TzvREW11VZfHe4h/+qsPjOcE/qc5WHzoTm1k0263s+TDRJoVSSWNcGnv/HU9y/vINAehqZiXXMvO8x7lnSSjIJphca5j/H/I2ddNsGHzZ+pgyXRGw7bzz0Cmuixn+e32aC6t3O8lef56GX19MfzCYvM0ia28GKp5/gN0+spcNwaVjyDH97qZreAw2sKYWh4/RsX8ETj7zAS1tj+z1HojKBljU89e/ZzFzZSDd86OsmhBBCfBJIZp8QQgghhPhEsBS0xTX3b0nSEtX8ZpyHU/IN+h1Y3+Myq8nhjEKTsqDiM8Um2V740ds2j9QlyfdZDAoq7A8aw6oUho7SXbeER56vp/iGP/Lbs9NQO9Zy83d+xi/+Vszxt17GCaHtPP3o42w4cyLDy8EyDBwDvFbqC7oGEglIJB20YeL1gM+ERBJMC9ykS3/DEh67bxkzzvoU402IOQaWD3xG6o1+0oG47eK6GuUxCVqQ1KkAmZtMrUMDhoFhpVE6bBzXXXsRJxrQ01XHEzffyNf+PY/PXzgMyxdE+S0MQBsGfm/qehqA40Is4eK4YPoMAio1BBgjdS4JW5NI7h4lVBiml2BaAL+lQCk8foXfhagCvwHuQJuuBmUZ+D2p4dAJn49QMIDpNVNZCzo1JNg7sN7VkEhobK3w+MCvIBJ10R6DNAsiMckEFEKI/aUMA68XPA702i4KheFRqX9Poy6OaZC+W100BdhJiA9krCvTSP37rFLrki7YtsZ2wbIUfg+YvDOFhJ2E2G43WmPg3+5kUhOzNRrQGPj9qTaNgX133u8cF0wr1WfvwLqdGf3RqIv7CXpBJME+IYQQQhxdHAfWrHnv9YMGHbq+iMPGzi/7a7s1c1ocvj3Mw4wCk56Bh4e2uOaZRofxYYPigKLH1pyQa3JlheYvNTbLcw0K/CYKPnjOPa1QWJheh3h3GzU7LIrCo7ni6kuofz0Lq3MFtz2/mFl1JonXXyYv+3QuHp+OXb+JZRuaqe3TZOSVMHXsUIYVBfFGOtm0vpaVLYqRhRZba7rJL47w3PNLeZ04iZlzKTj100wuitOyfAmvVPfShsXwEROYXpVL0GfSs3kZ/27xU+Lro7XXIrtsKFMHZ+6VEahxHEga4GLg8Zugk9gO+Hbbyoq38Nai9bzdHKFTmwwePpaTqgrISnNpXb2CRVEfOcRINrfQ4C1h8thhjCwK4CTffeUU4NjdbFiwnDdyhjC9YwML2gzyK8cyfXQeQb+J27SRF97eRm1/OqONHUSwCA/s7/E49DTUsmBFNet7TTILS5g6aQzDrE7WLlrB4kQp588Yhlm9iLs3BTlnxngKPMhMf0II8QGUoYl3NbB8zRa2FY7lsuGZJBJxdtS8xf3V6Zx15ijy2tZw97IWevriOFrjmAHGT5jAtNJMQgEDu7WWpatrWdESI2YGqCyvZNLoSkrTojTUbmbRW01sdx1cDR5fBmNGjeWE4Rm4yVSYLlK7mL+v7KVqwglMG+THYxpYySaWvFzD26299LoupuFj+IjRTKsqIsfv0FG3mZWrN7O6T+O6Ltr1kJVTxjlnjCDTPtzmzf3oSLBPCCGEEEc+x0Fv3Ahr1qBffhm9efN7bqoXLYK2NtSkSRL4+wRRCnptWNfjkmYpLio16R2Y6E4BJUHFt4ZZVITUrqGhvUnN2cUm/6xLsq5Hc3yuJtur3j8zTGtcM0B6xTQuOKWRh5Y9zuPRoWSmZxEuPp6ffruMvG1zuGtlLQsTLrmNtWxq6SPatZ3XZ85iTqNJLMcg/tpbNGw/ncs+N43xie0se+VxvvOyybfPH4unw8Y2Iize2EwNAcIbNtJwzKcobX+BWx9bSb8/l4jZw6aV9RifO5/p43LpXvEMN82OM3loMQVZFUwIl6IMSFXbUJimS0dbHU/NXMRKb4z+znre3pTG9FOOZ1S6y67/o5QiUjOXex5ZS39WEeh6Xl1ch/WVizh9QpDGhc9y0xKH8aMHM7l3LQ9v9jDprMv4vysmkKk0e5bNUaA0TqKF1+/7Kz/MPIu/juzjzSXLWaRO5o4bP8dJWU28/PRD3LosSbBgCG5BO91RhyxDYXigt34tr8yax5zNccwML7p6HVubEvzXqQU0Ln+O38/NITzsKnIe+Ad/ip3H9OmpYJ8QQoj3ozAsh/7mdTx976M8OeP7XDk6k0QkRsvrD3HDfUOoOmsUBXVz+N/fbWLkMUMo9HmgayuvrO7k+q+cwzGBrcx8bg7Lq3tpN4K4xFi3chWb6k7h4tMKaVkxhz/fvgl94hgGESHR28nCpa1k//CzjAhoXN3Lxifv467X43i2F/H0l0aQn2bgszfx9N2P8aqZR05ZNpl2J2vW1dAx4yzOObmE7o2v8+j9c5mfPY7JeQaxhI9BJUE+fTYoez9e2B0lJNgnhBBCiCNXNIp7773o2bMhGt2vXfTs2antATV+POqCC1DTp3+UvRSHAQXEXE2XrSn0K7K80GOn1mlSlXKbYpqRuw3TdTUUBRS5XkVXQhNxIOcDj6TR2iItZzif+/7VDF8wl1de38Zr7atp3fEiC6ov4ZqLTuPhr7fx2nUvcMql3+RnZ+SR0bUCf+E4Lj65itHFXcy841HmvrWGqunTmJLvweczUf40AiPO4McnZ2P39TKmezMnP5HLD37yTU71NPHYdx/hH13H8YuvnkiVZyuP3fwAN700krsrcskMpJERbcUp/wLXXjaeCh/0xFzwpOb7M01NpKuF+QsXsRwHw+NnxIzz+dZnp1Fo97N7+Lzf9jPkxNM587ghBBte5rs3z+eV9SczcUwl3mCA0I5OckafzreOn0DsD/fx5PrNbItNIMfDPgOlShn4AkFUu0vFl67lHxNvofBHq1jZcRnHtL/C7S/WE77gf7nty6MJLbqH2a834GDiNfpZt+AV7nuxDu9pF3DNFIM1r87mkUefJHPyL/jvSy/i6o3/5L7HZzOyoYqbf34+IwIyjFcIIfaLBmV4CKSlEfYaaA0ohekLotL9qWCS6cMTGMPvbv4mZ3rAqn6Yid94k8WnjcLd8BQPrMni9Cv+h1uOyyaLXhY+P4sXa9vY3luIZQQZOfZ4rvndlzgZTd3Se/j89xbwWstnGVXhovvWMGtZNj/48hB+OXMZdRcPJjvNAmWizGw+96Wr+PIZZZQ423n8tju4d9ZLOMWXcYplMmj4RP73S9/lhhGpU4kDXREHV31y8rol2CeEEEKII5Z7003oxYv/4/31qlXoVatQZ5yBce21EAgcxN6Jw4kiNbec40Ke793Zedv6Nb9Zn6Q8aFDkV1gqFQR0NARNsF1N0k1lCL5vWoBSaDtK69Ya1vaFmTzjYr53KhgkWXfvjznm748y+tgxDEkkcTXEYxH6ohDOGMbEKVFeW7aA+59v5s2aPppLNbGEi1KpfmdnZTNhVDYJG2LxaCpYpx36+yCaXkP12gCZxW088ejTaOUhbcQ0/Nlmaj4k7ZL0lDOyIptwAPqi7m5jWTWJhElZ1THc8afPcYKCBJAEYglNfI84uiZr8HGc1P0mL898nLrtLWxOxCi0U/MAKsfBGVxOUXEG2UYLjjeE1zY/8KFDGwZq4hhGGhrXF8L0+PBait6GVup1mEuGZGAAZUMqyMvfTMwFM9JOU1cfbf0JEqsW8Ms1GjxhKk4qIRSzCVZM4PRP/5vf/GUhzed/hz9UQCK+378yQggh0Kkg37sWv7PQNDp5Ze4S2jPS8NY0YpVUMCS4lUXLIhx34nmcOyGbWEs9L21rpy17EpMHZ1EU7KNVQXdXE8+/soF2Xx+qw6Jy4nhGZYN2NX1vv8HL2cdx1dmVXPPw/Syt62d4dnBgGgdNLBZlRwRCwWJOPWUSj96/loVrNjOt0Ee8p50li5fyaIeFYwYpKR9MVZb5yUnrQ4J9QgghhDhC6VWrDijQt0dbL76IW1ODceutEvA7SmnAb0K6R7Gg3SG5V6ENU0Galfp7JwXEHU1zXDM5yyBkpbL93o9SCmJdbHzhz1z+VJib7rqJrw3zoFxF3qA8lK8dx9ZoZeAHPIaJ5QVP/Yv88rezqMmbwXX/8xlGPzeLpze7aNPAQAMePKafkH9nHxTKULgoLAtMFSac7ZA58XyevX4KJQY01G2nz5tDZjo0JV10Zoigx4PXHRi9u3u/ASdp09sLXT6XhLvrhPac4E4ZtM+9lUvv7OeCr13Ftz6zncjPZxJQBspIRUK1ZWEYJrguep9Pie/B68HQ7NpHa1KZgipBZ08CraG3u5doNJ4qMmL58ZlQVjmSc793Dd8eAd393WxtSpBW5CcarSPS5WdIYQ7Ub2Fj90QG+z9Rz3pCCHEADAzDg9eXumelbgUKpVTqBc3AZ9Ns5qEHn+QZQ2GbIT572WWcPWQ7W5RJwgOWF/q3rmDmM/N5YmUXbRlDOO+KM/hRUNHWUsPf//53Hk9EGFw2kSu+eSWnZrn0xvpZuWA90ZJRbF3j4hS18czrNZw1PJcij9rjtqTd1AsjK5Ig3hcj5vEQaW/khVlPssrnEMor48LLrmJMbnCfc8cerSTYJ4QQQogjU3PzQW1Ob96Me/vtGN///kFtVxweXCBgKkoDqYq6y7s0E7Peqa6rdapS7c7HAE2qqu2bHS49CRiSZhD2qA8M9mlXY4YyGX3aZ7hq+VxenDmHieeOwkx28NZLNZSOOpXJJRZGbxbjLYPepm1Utw0ivd8h4smitKqCwlgfr3e2UZMIMK6tk+5cA7SD7Tg4A/01TINgdpig3c/mmkbGDRvBsZ8p5C9zX+DhhZlMCtfwzO+fIXr2t/jWBSMwlUvSdnBc/e5gl9a4rkPSfY+JyzVo10EPnHw06eDPKGV0VT69WxezNh4lp6WZtt4CtKNxHQdHp2omptrd+5garV0cxxnIsNRo18F1Bo6vXZKOg+M4hAaP5dSStSxe8jZvFFsM2lRNU2s3g7SD7S9g9OiRDFq5lOdnv8RI8tn26vM8tTTM5T//MqNq53DXiy7fufZU5v/xQX47ayq3XDiINGN/fmOEEOKTTKO1iT+YTUGxS6I3SsIAU9lE+m2MvEzSB7az7RHc8ddrOTWUqoAbdwEnTknYZmlTG9u2a6Yfcx63HHMeX5t1H997YTumoYjHTYZUncDNt19J6bIH+MVtb/Li2m5Orwyj+1bw8jIvOmce1/7exePNZHvdEjZdNI5hOalQn2GYWFaqEnt9UzuxrBzKK4sIR7eSNXgcP/rCdfxkTGoIb9yFvvjer7mObnKrE0IIIcSRKTv7oDepX3wRPW/eQW9XfPy0hqAFU3MMivzw52qbPjuVyadIZf1VpCkCZuqzqaDfgX9tc8j0wpjM1LoPzgnQOCpIZuWZ/PSGz3Bq/6t8/ye38IVfPMyyvLO4/ycXMd5v4haO49yJw6h++T7+MOsttpedxPdPG0b3vIe5YXYrmSOP4UT/RuYtWMibXSFysnOpKAjjVwOZb74AhaMnc1FuhLtv/SPPbvUw/vLvcucMxTN33Malv5pD56e/xnXnDGFQGhDIpqwgi0z/Pk7C8hPOKaA8f2f7e61XBoGsQirzQ5haM/SMS7hmRA+3/eZ2HnDHce2UcexY8Byz19TRm15AZV4mWV6FNvz/n737js+juBM//pktT1NvVrNky5Yl994buNNMDRBCuEAKCbkkkHbJ9Usul+Qul8vll5C7cAmQhITQSyg2YBvce5Fl2ZZlq1jN6uWRnufZZ3fn98fKtmxsYsBgCPN+vQSYfZ7Z2Z3Ztfa735khPSOLwsxEfIPKlegYgRTy8ocwJKQhhY+kIbkUpQa81Y79qYzIzyLVdInmLeSbn17CpPAmvvuj37HbzmbkxAnkJJkQheHzlvHlO6ZRcPh5PvOth3movoCb//Zurgk0sm9rLW1XfYIbLlvEJ6/MY/frr3EkojL7FEVRLoSUYIZC5KWlEyzbwurDLRw6Wsb6fVEmLhhPkQQhJY5rEw730x2TdEVc+mMuUb2YFStH09OwiZfWbWZXdRv7tr/Cc2/sYlu7iaEB0iVuxeiNw5BxK/jE0gBPPvIc+6IOvbs282jK5Tz+2//g0GP/SeXDd/INjrK3spfumEQTDu2tLRyt7+JQ2WoeWXOEtPRxXDdpOEbcIdrXS011Dbtqm9l+pImKug4iUnykVmIX8jy59T39b39CCyGgz4K4q5GXYqBrH6VTqSiKoijK+8392teQ+/Zd1DJFaSnaL35xUct8vy1atOiCP7vuIgU3a9othqX7eD/mvq7rsNADujdk9m0QeHPwbW13+dpeixXZOt8aa+LXvGCfX/Pe/kcdL8vvvw7Feb7J4V/G+ViWraGLtxcoErqGaYCpnZ4z0LJOLhChYfrB5yXtEY2DMMBvAC7EXdAN0FyIxSVCF/h1iEYdHAQnh/EG/KADVszFkhqGCT7de6NvOxCLu0hXIkydoAHxuCR+9oSFQsP0eRkZ0djJ8s+k+zSCAvpiLlJo+P1gCrDj4OjecdgW2Jp3Hu24S1RqBEwwhFeue6pcgdAFAR+4liTmCMwA+B0Ix13QNBL9EItJ4q5E6Br+gXIsG3TdO2dW3MFBQzcEPtMbsuS6A8cohXcugH5LYvgEAR0iUbVAh6IoyoURaLpLrK2S1x9+hO9taaPVSOHKhcv42t3LGKq5aAd/y/QfxvnPn3+SuSkBjFOZ3ALDL+je8wKP/GEdD5V34yteyB1jbOrpJ16ykLvtMh54FW767ieZp3VRt/Mp7nugkeX3fpni9f/Md9Pu5pXbxniLgvi62fDDH/BQ+q384GqLZ+9fxYPlJziBS1BP5IprP8aXrp/DxMw4lRtW8Ytf/4lH2gwMXGxbp7BoMj/8/ueYH3R5y5G8AmJ9NnkpJn7jvf+Fpr+/Hykl1dXVtLa2ouv6BX9X0zQmTpxIcnLyOberYJ+iKIqiKB9ekQjuL3+JfO01sCxEaSlMmoQoKICcHEhORgSD4DjItjZobkYePYpcvRrC4fMWq/3qV4iiovfxQC4uFew7P01AxIFnGxx+cjjOhBSNvxpuMClVoAuBi+RAl+R3tTa7Ol0+P9LglgKD5POsJKsoiqIof9GE5g2XHRgX6rjeCx0XQNMImoNfZJ39Ve+7hubNrefIgWlgXYgDpg625eCieS+1DLDjEqkLfBIipybYFeimwJBgOWCYXpkCLwPRccB2XFx34EXbwAsiJCC8F0GW5b5pvto3V/gvJ9h30efsO9m+2kdoSWNFURRFUS6RYBDtvvvgvvv+7EdFfr4XCAS4+Wacz38eurvP+Vm5Zg3is5+9uHVVPhBcCQENbi3QGZus8W8VFl/dayGBKaka+7q8h4HhIcHPpvqYlqahayrQpyiKonxESRc77q3Q/iauS+Qt8sSk6xK3vMDeuVgODITskI4k6pwsV3LGQvBInLjk5Obzlim8fVoxb1X5j7KLHuzTAFdKOiPO2x7qoCiKoijKR0dq8MLfXl50WVmIlSuRjzxyzs1y9Wq46y5vvKDyF+fk76cTUwSPzvGzp8OlKSZpirhcl2+S4xdMSdcwNS9j4O0sKKsoiqIoinKpXfzVeIX3xrT3VEhWURRFURTlzS5psA/QrrwS5zzBPjo6kDt2IGbPfn8rpbyvBkb3MDVdGwgAen3y5PgUFeRTFEVRFOXD6OIP45WgC0F2suGNy1a/JCmKoiiK8kGUk4MYPx5ZXn7OzXL1ahXs+whRE9AoiqIoivKX4j2Zs08IMHWBWp9DURRFUZQPMrF06fmDfVu3enP6paS8z7VSFEVRFEVRlHdOu9gFnh72oFL6FEVRFEX5YBMLF55/Xj7LQu7Y8f5WSFEURVEURVHepYse7FMURVEURfnQSEl5y6G6KtinKIqiKIqifNioYJ+iKIqiKB9pYt68826TW7eCoxYdUxRFURRFUT48VLBPURRFUZSPtLdchCMcRh48+P5VRlEURVEURVHeJRXsUxRFURTloy0lBTF27Pm3V1S8f3VRFEVRFEVRlHdJBfsURVEURfnIE7NmnXfb+VbrVRRFURRFUZQPIhXsUxRFURRFmTHjvJtkZeX7WBHlL4UQGr6gRuA8iz2fm0RqGgl+jaAhkO9V5d5LUqKZGj5TQ3+3R6Bp+IMaqQM/QVNDExenmu+eQDc10oMaaYN+koMa5sATljA1AoZAXKI6S6HhNzX8hgBNwzA1fJo8s1WEhuZ7u/30o0ggDI1U/9t5fJagaQQG+kbQ0JAX66KWAt3v9beAfua9QgoNw6eREtRI8l3APoVG3R9TUAAAIABJREFUKKiR6L9U19eZ5yl0Mc+TonyEGZe6AoqiKIqiKJeaKCoCXT/3Yhytrd5PVtb7XzHlQ0loklhPHduf3Ehk7ie4PM/FvZCHV00noWM/vzpskZYzihtGJhOx3fe8vidJoeEzICig23J5J8/9mk+nbd9WGvQUsorHkG+4OO/kwV1oBCJVvPLHTTxb3YMTzGD5iuUsLskkSXOxL2UwQGjo8R6ayjfw16uOY9kOEhBoZGYX8+lblzEiAfr3Ps+60GJmFCSQaMr3JYAhhUbQD64Dov846/d3IxKGMzetkYP17fTlzWFGpkvc9Y5DRrtp2buB8qxrWJx/gf30kpAIXcc0gLhDzBXvqH++MwLhRAlXb+Hb9cX8+8KhF3w9m12H+dMrm3isfQjLlszn02NS6Yu/22taYIQkzetW8/vmIBNmTOOqYYlEbReERtDtpHrnFv5vY4TU+Qv51tSst7iPCIxIBb97YAedYxdx0/R8MgPinV2z75SmY3ZXsXrtRn7fkMq8xZfxxQlpA+dJoBmCgAmRfhf5nja6QGiCkB/6I+55XlVIdJ+OISFuf5CvF0VRmX2KoiiKoijg8yGKi8+7WS3SoVw4gRCSeH8rh15/jb0dXHhQQgN/uIZXD1ayrSmC//3MthIavugJyve9zrc3NhMy3s5jgpfJp2kCTYfe6oMcrTtOuwP6O3o4F+haMxt+vZrybj+5QwspTWtn01Or2FDeQlhoCKFhGBrGO9qBht+nvfOMOwG63Ud73V6e2tPDsOFDGVWQS/HQDLK7d3H/y4focyFWvZm9TTEijnh/HrqERiBexXPP72Db4V50rYODx2o42BhF722g/thBjvTAqaYVIOMRuqu2sLeNd5nVpaHrGuZ7lJGqGTrh2jK2rlvNtjYd3zs8oRINn6Ghv53vC4FwLaJNe/jtvlYuNMyoG9B5ZAeH6prQEnPIDem4Guim9s77gxQYQUFSfyWbX3mZ/36lnLKO2MC9QmD4XTpqKnj5wSf5vzWbeKqq+63vI0KgW3W88afV/KmslR5Lor3PqaiaAV3Vezl8rBYnMZf8RH0giKahyzAtR3fy68cPEvVp70GAV6Bp3v1LyBj9zbv4n9/tJ3yei0EzdBo3PMaqfQ20RDU0TcM0NPQPTsqxopyiMvsURVEURVEAxoyBw4fPuUmWlyMWLnyfK6R8qAkNMxA8FZTQ/RqaDboPfIDtQCTuIiUIQyNgggkE/H4SzCj+k0PzhIbpA7/mvaW3bIjFXW+Iqx/iERdHaPgC4EZdbCkw/ILAwOfjNkRtFym9zCj/wP4dF6LWmVl3EgOfL0RGyPAy1TSNoAkxIKSBBCLRszL1hEYoEGZfeYSioWmk+g00w8AwfPj8kODX8OPty7K9Mg0T/DroQNzxtp05tFRgNG7lp1Uhvvi161gyKkjQbeXpH/43L+8YQvrQ5SzN7eJwg4NppFOYpdHncOrYJGDFIWa7XjDDJ9BdMAyIxcD0d7Nzl8WMiVnEXYmNwO/3viuAqAVxx8FFx2d4QRtXArZLzAEhQSIQviSSR0/lH++aT8LAfiN1z/Hpr26mdmUJuWYAnz4QGtJPt7E41Y6n96HpIAX4xUDbxFzcM06zRsAPVsTFATA0kk3oi0oc6SIMHZ8AETdJSAoS8OuAhmkYCF2AZmAYJsZAOw4qGc304zch4PeCUPYZ+9cw/Wf2P+vsjCZNw6+FaenoIxzLYsxQje6YRDcEQdNrZ0d6fcfFG97swwvy2DEXW9MwAUzw42UlRl0wTa9NLBviLgjDTyCYiKZ7+zQM0FwwTO+h1opLorb0Atd+8AlOH4/l4gqNBO0E5XVBhmYkk5wgiTgC3zmur8HXXkADYQToNn0YvnNEzgbt73Sflug6xPrC5I2eyhXLpnNZMtQ2ddLX242/ZDjJEZf4wHf9wusXsbgkNpC2qvs0NAmmAVZUYkvQ/TFq163n+U0beKysHSs/SIIuvKxRXSA6jrF7/z62RPK4vMCmWdPOHXwd6E8+QOv34Q8FCfm89heGIKgLr00GnZOT9yls6Le8P/t8IOLePSI40A72Ofrvyb6m+wSBgWvfaxeJoYPV38+QkeO4b8UsVqRCfb+LJgQSgW4GSE72o0mv3iETYhKCunfOIlEv01foGgEfp+odi3t99eS9zPSdPs+WDTEbdN0i2tfK4bYcZo4w6NcDpKT60BEYAYEWd7Ecr+5GwLuP6MEUEv0GhgEhvY1D9TqpiakMSdOwpHdsMcvxMoB1gWFANOpesuH8ykeXCvYpiqIoiqIAYuTI82ekqEU6lHdBSpem7ZuJFeRS9UY5e6MaY2cuYPHwZIIBDatuH8/urqGyN5kFmc30OEkMFYAGWrSdyp27WVvRTV9CJlPHT2bhhETCjVWs3xRl/E0TSbW6KH/+IIHLZjE8waZx8xu8cqSXJsdgwsx5LB6ZSsjUsTsqWb2jkp2NcYaNmcDlE4rJDQ0M6ZQS1xckPSOX2Z0GjmvR31nHq3V+JsbLePZgHDOrlGuXlJI+8JCN0DD6Gtm1dzsPP1GDHD6Fu25dQKLpI0gH1Vt3sLWylljhKBZNncDYNA0r1kdjxQ5e2d1Oi5nIuNIpLJ0+BP2soY0iHiUc8uMTEgHEtSxWfPwqwvUpJPTUU1G7hV+taaQmaQqfvm4Cs/UW3th2iL0dDlpqBjOnzGD+8BDRSISmPTvpTU7mwM4os5ZnUlexjYefaCV/wWV89urJjNBqWP9KBdua+5BJQ1kydwJj8xLxR1s50NhLR10LppS4RdOYm29inaqqBOTAPweCaLqOGbOxOD03ntAg3naYDTur2H0igu1LZ+6MyUwuSifRaeNgXT/d7b2Y7ZW80RhiWOk4ls0aSvBkoAKHeHcVa9a7TL2mhFSpQcM2fliWzMcuG0l20IdVu4XtsRJKhmUwIkNg+DTkhYwbFqBJBzqP89KjO9jR72NUyVSWzcghKDV8Zi+HX9/C+towXW6QqfNmM6MwjQRtIOiradDfQfWRTTyxoYodsTHceuN8bhvho6VmH49vqKWGAEMLR3PdwmKCtkP/oQ3sN4bSvLOanCULKOraQUOwgP7yA2w90UvWxHksyeygrKySfZ1pTJsxjhmlGSQkppA1RKPfhGhXBy21h+hLSaVi40GO+lOZM2cB83MN7Hgb+zfsYsvxftqkYNT42awYn00gXMfOstf437URGD2be66YzKzkTvZt2c/aija6AxlMnTCOheOzMRxwYt3U7N7GS4cimIEkJiefK0VOYFjN7Fpfxq6GMC22yZhpM1gyJoP43n08s6WWtV3trIlmcmxUEmnl23mxopGExddw56LxZMfa2L92M2saHKyEFObNX8i8bA3LhaadmwinJFK2rZ+JV09hWGIAA4kdjRJNHUJeQhtHkV5QTUBA9HFo2262VcH4a+fgrF/Ln84d6UMLH+H1Fw6zpcdlXLGD4XhBKmFoROoOsHFvNWVtMWQogzlTJzGtJIWeQ/vYcLAbX8l4rp6QSrjxGLv21NE9cgoLE2p5cv1RDsb9jC6ZwuJpOQTP6n+G36F17zbWHmjhaFSnZNwUlkzOhgMHeH7jEV5t1Qj1FdKyYDRXD08makuk7iOYmkVJigOuTay7hldqgky2y3juYBSRXsLKJaMZ4teJnTjAup3HKGu3IJDJ5XOmMiYvCb8JsrOevXsr2FjdSzQhnanjxzGrOJlw5VZe3rKbZ2uHcdXNC/h0aTZjUiPgRDiyZiPRccsoTZEYpkXNazvoHzeNguwC0rUEtO4mynau4YF1nXTlz+KeJVkk98XoENnMHJMGdh+tjc0crTOZM6cQ+32ckkFRQAX7FEVRFEVRABDjx593m6yqgkgEgsH3sUbKXwrpOFSv/SOr8+aR1dxFVU8t5Uf8jPzK5UwQJ3j2uVWsbYJ4ch5JLcfptIcTMAxMO8zRyn2s31NNS59Bd1sXvlgYN2MxsyItHFm/gaopJXxWbOaZLVGuW6DRdfA1NpQf53gntGk21muvkxVcxtRRBodf3cr2Yx0c85m0b3NI9wVJmZ6Pz3WRQmDYndQe285D5WNZMLqQxuYdPPjbXm6d4lJTZ9G5sxxReB+fLAlhDmSICTdG7+FDbOroIZDYy01Rm1QTGo4cpUX20ddcw9GqZpxwKqNuyqH9yH5e2VrJiV6dJqcLf28ndub1XDvUdzpjUEri+bP4cs5zbH/lJbZvT2JIYogRo6dw7fxEfN31bNpWQ1VtI1VFpXR0NVHVuINn1zYg8jOw21qg22HYXy0mM9bPkdceZU32QlJbUpkUD9FxoJx1YT9TW8LYdjN7tu/i4JF26i2B0XKC1aaJPm86s5JOsGvzdnbvCzNtWglZ+fJ0ds7A0M5w3V5++ngE03aBOEZTBdrKKxhm6F4mEl5m4PHNr/Da3hj1eirpooaXND9m4jyWZLRStm0bm8pjTC5wOVLZQ3V9E4HCO7k6WwwEFl3sSBObH90IC/6eRak29Wte5feb/JRM/iJLUnxUr36VHcOzKBwp2PLyPtKnzmTowj8/DlwgsOIWe3Zvx7CbqOyPULf3KHrW3Vwx3M+JHRvZWVlPfbeGJY+zZbVO0lWzGD88ZeCYQco4PfUNHD1ylEMZ+TSFw4RbO9j6+h6q2wXNSOzuNp5KzuCO8Yn07nuGX56YR3G/RdDWiB18id+0TmJ4uIfatoO8cbSd1uFBnP4eysp30mHZZBQuZkxrBRX7qjgxbRRD9WZ2r36MHblzSWts4kBfGcfrUhj31SkEW3fyhz9tJ5qeTX8gTtfqtRTkXs84PUpLxVGOnJDYef1ErE5qDuxnz+5Kjoc1IrKVHfEohJZwdZFL9ZHt/Pax16hJLWZIsBOhtRA6+68ATWDVrueJNbX0+5KIJ0RofwEKUmaSGe7gRGc/J7pcetvaacrqIXa8lgMVFkWTegn39RM/9AYbD3VwIqrR19XO9lUu2bcspdDvUvf6Y6xKm47RmMoIx0UKiR0LMGLFtfxAa+Oltp9xtMYmDugaRKp28vqOajqzF/C54m5+/rQXaD7rboR0Wtj3zOP80/PtpE4eRaIODbaDLTQM2cX+157luQqd3tQMjJadVLSEiaUuZVJrOU8/tomGmXdw+cRptB3ewhMP7yflnhzSjzzJb/amkpMXoLu6maSiT7Ew7XQqm9A0+o6u5Y+v7KG610+v3k99VTN+fRmjrB5aO8M0dWn4Wtto7ncGhv8LNC1K54kDvPRHm0/Puhxad/Hgb3v4+BSX6jqL9m1lyKH38qmJidS+8SKvHvLRbiaSzjGeMZPwL5zCjKQmXtj4But3N9MlAvRHq+jt7EaGLmN0ZyvHyis5rKcwtrsPq7+B537Tzp3Tl9K95zn+JzKZ+xdn4rOO8OyLuxg7fCrph55lje/jLCry0X2kmqr6HlqTxtNjmbTt2k9Z3whGTZjPkN5m6g9tYHXtPC5bALZ9wX9lKMpFoYJ9iqIoiqIoAIWFkJgI4fCbtzmON5T3LVbtVZTzEqD7LY52DefL35zDaLGNb1y9hfrIPIqaXuG5hiHccMfN3DYpkaZ1D7N1s0VIM5Gt+1m3YQsvdo3lzuXFaE0VbNn9Bqvdsbz0qenc+KlqfvjsGl4f2kDO7Z9hfLCH9U88xWOha7h+ci4zgt2sfeBRHs0pJX9YOvWV3fhzR/OZlRMIVjVgiSgR1xs6eXLYoq6bhHy6N0zVEQQ7egks/Tr3D4NDv/4Kf3+wi48XBzE1AdLFSivi2jnD+VYkm3++cg7XFPrYX95FdbuPoqtu4GvT46x9+AXW7Kyk8SrJkS2v8mBlMV+6fixjeps5vOV5fvDsWK74ygT009E+XH8RN312CY89sZkn9teQbApqq2qonDKXRTNHMmfSSMp8xdw89Qo+N+wEr1mlrLh9EUtKYPfG9axas5GtbYu5PiARfpeOpLn8292FYMHkhZu4h5k8/PmpDGl9mdueriRzxjRmTx1C8Pg6fvLyJvSEXKYsC+DviJKUN5lFty5khCvpjUvEQMRPSAe3q5GNu+LorgQhyM4Zz5c+Nol0A7oGcvukjCITSrny5rEUZfqxyp7l61sq2VpQwtJcP76eHvANZ+ad1/LFrv0888zTrD0Y5vq8RCzXRQofvrSJXDPnGZ482MeS6SdYW1XMv0w7QHljlAXpdWyoL2LCglRyAr3oPhPDuPD5zeKO4Libz0/+5ia+qXez4Uf/wN9vaWJJgcn6h1/jjXGLmD81nyGiiifvf5mXs7PJypvEMB1s10WkZDN23FiWx/yML72Ff5nUwot/Ws//22Bxze3zmSi6adj7Kv/xfxtZ8bMrEWaQ2r4s/unbCxmqQ1eZn8ZWwbV33sk/Di3ne1/4HQdSr+S+ey/nS7t+ywP7GjjQABNME8Pnw9RAaA4xCV3+afzrPxQj6lbxd5/ZQfXXpzFGJlO84hZunJ5Bb3slf/jxo2ypWcTIuSUsnpzLhuwZ3LRoFkuCu/j7h3exL5bPkiVjyegq58VNuynrzuWyz2VSs38nZZnX8Zt/nEd6/wle+tVPyDprhQgBRGUaU6+axWUjA9C7l59/Zxe7D5Vw69XLuTdWy+iOXIovv4Irs7p4rbeP6/oDXH3HHJIP7+SPz65j7bBb+OSUIPHuWl797R/pnjiPv5vkx/BbNBjT+NHfjSNNSmxXIgU4MUFPMELYdnAFaJqJFmtizet72GvlcMPNE8mufJ6uFg3DZxLUoPtUfV3s8AGeePQQTQvu5sl/WkB21ZOsf0J4w8PjFiK7hMVFYyjN91O36jjf2ref7AkzuXbWJJZNLuOxuhoqGkfgtHZSlTeNfysRbH+ihtaRX+Cntw2nc/dW2izJ4NlKNcOi4umXqEj/GF+/Zy5zUvp49ec/5rGtlWTesYJ79XpG1ZrkLb6KK4ZAW8RFCA0QaLpBIDhQmtQItXWgX/4tfj4Sqh66l7893MnHx+iIlAnccPs0Ria79Ox6knu2H2Lc6FImtmxizaEOkhbcwS+XD8E9cYRN5cdpk0kUjp3OynnVWNl38MDlGpUnmgiEfOhakElXzab5ge10LLoao2o9R0cv4uaMEIk+H4ZwMXMLmDupkAWJ+UydtYibRsDe2mraq+vZ1QGL2roJN0cpXTYK510vyqIob58K9imKoiiKogwQkyYhN20698bqalDBPuUdEkJn0bI5pMagM5RAumGg6xonquvInLySkVkhLAcKxxUzqqELv5T0tvcQ7myh7oTJb56owEZHTxrHhKQo/WaAxFHzmfGr7/Gf3bfx2Cd07GgjNVV+olnlPNawH6SGmT+GcX4dEclhxlWFHFhXzpOPNDBu1DimFWQTdM+ew22AlEjTj79kNksLobsvjpmSjHbWUDThQtRyIB4j3G8RJYAddxkzvpSSYYlYtOKaIdJ0QV9vhM6mRjp6/Tz69DHiaBihiUxOtYkAiadPFj1HdlOWMJ6r757AJ4CecDv7X/w1P3h1KwlpeeQLiRWLE+6P0efLYGReP7KigmdeaKbi0FFqbZcR3UAADMNkxpRC3KiLKwURy0XEo3RHILX2OIfNOMf27uBgOdi6j6SEbIYka/TbNm5GHtn+XPI06IvJ0+ELKXH1ECmTFvDMv807NWefC/THXOxBKVWuHaBoeik9ByrZvK+W2qM1NB/PwbYsItLFSS2kKGU044PQc0LiS0pEiEHzGErQ9BDFc0dR/UYF4ZyDHBw6i9tm9PP8nmY63E1Uj5jE/OQUEul+WwtkSCQBv5/L584gw5F0WSnMWjKBXaubcGMWVS1+GvW9/KGqDCENjJE5jElJRI/BqYOWYNs2MStOf8wi0hWmp7WZnbZO4OVVRByB7stj/lCTbiAFGD99Eqkxl7hfw3YcJkybxrAghAmRqZeyfFwe6X4QgSREKEo45iISTgePXFeSkpbGwnnF+OwobUYSWZrAReDLHsPlJw6waf0+jtSeoKy3i6JuiWNB3HawrBi9FsQ6W6iPh9nRcJTuZ48Rw8AQ2czOMTnRE6avP0rxghlkOdArk5h9+XhS1p45v6R0JUlF05gQPsD2zfXU1NVzINpJKO4QdcCJ2fTHLHojECaObceJ2Tr9uGj97TQedWlxt/FApYUUBkkTZzLG6gf8SCmYMWUUZlxia/I87aqh+2yad6znD69VUJa/kMuO7OfxXY00iSgdRyp49kCImaMy0BzpXdfdbdRIHwsnlpAQkbglY1lmvsJa6WKbqZSMG0v9xl08v72VumNt9PYNw4hFiCSNYFpJETuP17N68xEm9XQjZl7HxIxEoounkbb+Zf73sRJKxs1gQeCMSR3RtEaOVQZZ8vliMnzQ4iYwdVYhD27poqY+zpi4Q19M0huBvvhbzG+nmxij5rJ8OHRHpHdPiklcJ4nimaXsLi/jje211FQ10NlgYjsOda0tDM0ewqhRQ3BtiKUWMnpSOl0xh7AVJxZ3iEYjdDuBgcVXJGgCMXIed7T9jp1d88l+rYmJ84YSCoF0AUOAA1Z8oD9FY4RdP8Mn5FHeX0ft7kaa0mPUdQ/j8iKIR9/GRakoF4kK9imKoiiKogwQY8acN9gnI5H3YCVA5aMjk4wkG4kB0pu8XkpJQmoKkZpWOvvjaLqf7pYO2rsjpCHQTZ38ovF8+ZpP8TezfQA0tzZR42QSiFp0tdUSHjmBSX1N7Gy0uSw9ieTUFD5+9718ZlyINKCpvp4O/xCSjTAdQy/ji3cvpr91G7/62Qs8Vt3LHV9exhgB8XNVWdcQWcmEbIghcV153odwXej4DB0dcGUyiUEfAT+4eAEGF9AMQdbQIj4x/R7+44okDKCzo4GKSAbJjjw1ob/QBD1bf8V3mm7kO5+8jCl5JmZiBlNmTWDY4S7sSBQrJEDTMXx+QtHDvPbCc/x+XwZ/fd/VzJ5Qy7aXniKqgUBDiAwykkGeThxE1wz8BoikEMWFs7jvr5azOF+gEaG8IYIWTCUx1o6dFMTnDxFw4c05vxLXjtHlghU7MwgkBo2g1f025Q/+gl+0jGbRyhV8bk4+scdbSXdAIJGJAUwRxA/EpMSVZ59n6S2WMmoGU3+xlReTW8id/nGMMRZjny1j7YlK8hdeRWqqyflCQucjENiOQ219I/2zCwgaURpqWskKBBF6iMSUbO6+77PcWJJAKlBbfYK+hCQSQhLn7GQloaHrOqZPJyEjn2svW8DvPj+aRKCvr509LT5GupJWID81gZNJclJCYsDnrQ6MiyMdYo6DC7iuOxB7EYMaEJA+TD2F1ERv8Q9cF1cMZJsefYbP/7CBj997PTfMv5Jx/RXsD3iZjlICmu5lB4Z8ZGeP4WtLl/GNhekYSI63tdNsp5BrH+WIz6CzrpE+fTgGMRpqWugXZ073IHRB3/aH+cYjLjdcfw033jWTzI7H6TNdnHNcK1IKb5EaNHQtkcLiUXzzW1/lzkywgePHaunLyMALG2eSkeKAMN9c0KAW1EQXbX0BhqYX0GLX8MsHDxEN93DC7ae/bCe/Ts9m2pgMdAcQIPwhUoVDdUs7lp5NqKOVY45DXBgEZBVP/+cvuL+3mLs+fzNfGP40dWv7cAVAiKKSErIOrubxtdvIKQhy120FWFYbqSU38MD0Fva9uo4f/eA7rPniT/jVyiED/VgiZSJpGTZlJzrpHzuEPA1qGnrwkUZygonbfgH9Vg4E4YYkE7Il9sl7EgLd18ee+/+bn0fmcdMNV3PP7B20PxIm2ZEkpCQSOdJPa0cEioIYbRWsfWUb2/Ur+M5ynZPZg77BSzRLAbKIuSvD/HTta/jKRnHL7T4SfBA9u6pCxzR0dAlO7iiyAr10bH+BffPz6S2ZwygJvX/+6BTlolPBPkVRFEVRlJPS08+/LapezStvh8R1bG/VUgnSiRN3Bm2zHRzbJnPCHDJefINNmxMQ0aE42yupbkpluHRIHlZC6tZj7Hj5CX7vW0Bq+0EOVOxj3/BP8NNZUfas3QFLv8q3O37KN5/ex5g7pjF5RZB/eOpPZHVMJCMpzN7fP4uz9B5unRtl6/NbiWSMpGTaEIpKi4imBPC5IE8+40qJlC72yaVWXRfbdk6Hj1wH+xzP5E4wkeHhNqqqGqkvGAW4OM7pFVtd18WO2wQycsnKzuX4qt/zSMYVZEZP0LznZZ7MuINHPjYCd+AL0oXiJR9j9I+388bWZDqHpxMywzS+vodI5nSGDk0jIRxARJo5UtvAQbObXjOIM6aEfNlJdeUutlVJhtT10pctkK6NPWhRDRlKYmRHPdsODWNJ6TSWtz3D2tcCnBg/lMzm9Ty8J8C8JSu4a7KGdBwcx0W+KXAjka6D5bjnDa9J18GRAk10UN8SpLS4mCEhm/1lVRw43kVkRC8dfYD09jG4XNvljJcLUuiIYCmXlT7EF9dN4P7bBFrCWBakP8R92/O595Yg6SEvuOo60ss+OhkMkd5Jdd2zVtEdYMciHKjcxrYREXQa2PFqK5+6dSRGIMSi+c/xwAvrMGeWkBc8yisPlZO18jqWX1ZCtpBeoE2C7g+g2zGOHzvG3pEZDMvPo/SVP/Gz9QYTA110VLzBg41z+fVXZwyct8GBO8cboooX/HQdZ2DFY6/ezql6y9PHILzra3C7OraDRBJt66Fp3HhGpofordvI1qNxmjOa6JyeQ0piEnQ2s+fYCcZNLWGOVsXWDat5IDCbEf3lbNjbQOuQpfz7LTnkDh1G5NnneXrMSgrijZTvPk40lTe99Gk/0UtW6UxyM3R6KvZSdqKNcEMXM8OQhnfevdPkwx/U6Ys1su94mLmZheSPXcNvH3qZ9KUjsXpq2fPUG2R84Xt8vOjse8Y5+p/tELfjRPpSGbfiOv5rxXWYgEmcyk1P8Df/tJOqm+7kxRvzaew/2Yc1tPSRLBqTzKqNa3l+ssGkrgq2RaL4XCAex/YbFKUXkedrpa6xh/Y2i7qWNqr6hjGmoIDpuUGeWlfH9pzr+e5wh47yPTz3k91k3PMxRk/CMfDQAAAgAElEQVSdyuJN9RySkTPq6jqZTFqax1Pbt7LeH6c5s4Utm3sYMXU4E4eCdczGdcVA2551nNLFcaQXDJYudvyse5IrEaKd4ycSmTCrmBQ9yp49RzjcZJPZ2snyaZNI37OFw1veYK0+ikjlAcqO22QtySJBtKDrGu11R9naXMgwTeLYJ0PmLsNmzaP1a88SW/F1hgUC+CREpIPrSqQEI5SACLdzoKaRqUNyyU3JoDgvhdodVWw9kMXSG9O91dMV5RJ405SdiqIoiqIoHymRCLK8HPn448gnnjj/5841l5+inIOUoBlB0vKHkhkAhCCUlUuq6Q0Rk26AjOFZJBmSyJA5fONjRfTsfp5vfvcP7A0O57LpExht2PQEClly5RKuKjjOz//1R3zlsX10Fl7HD67I5ERzJZv7LuMT0wwCs69n0ZH17Oh0Kbz6K/xtfi2/+d//467vP0311Nu5YWYOGYnFLL0sj97yl7jvW//HI+F0CudMocTPqQCeFCaBYAp5aX5cKTD8KRRkBAcSqgRGSi6FKeaZWWcuWEPHc1v8KI8+vZFVVT340zNISUwkIMDFIJSaSmZ2CEihdM6V3LMgyu//47/44gMvszN5JT+9aSTO4CiUdInkLObfvzqf5IoX+af/up87vv87XrBn8PlrFjA3H7ScUQy321i16iV+3ZnDzVNLmXLgcW799xfYEhvH1VcMYffzazju85OUmUPyoBQHt3Aid3Vs428f2cKByGju/NtFpBxdw3e//xO+9GKUeUsXs3JaOk7cIDU5iYwkE/es53WpGQSSshibk3RqIY4zPwB6ci5ZIYGMD2HxnTPQDr/It7/zAKv00VxfmoxTU8W2BkFWagqZST5vzjQjSGLqEPISNdwzMtlAEyHGLppKaO50RpkCYeuMnllK7lULmZCaSIIEBx8pmckkJBhIGSA9OYm0BB3pSyQxOY1U35kZjlLTScsp4AsLc9n84P3c81+vcmzCHdw+MwlDmky88wvcYJbxwC/u53M/2op15XVcMWcUecI9taCKdCGQVUhBQFK+7jm+tyvO6GmX84nbs9nxvz/lMz95kj+0TuBHX5pDSErMlFyyQpzKtNOTcshMMDA1cPCTmp9BapIfHSCQSmZaGml+kGYCicnppPoA009ixhCSNC9bTjMSGFKUQVBoJE9fyY+Cu/jaD/4f31+XwpW3T6Fl2xYqWnvwlUxjZMtefvHyBlbVZ7PyU0uZltPIb/79R3zmNwcI58/jGzcVE5epFE1bxN3Tuvjlf97Pvz62n7yrVnJ1uv+sYbwwctktXNm3le/96Gd8pzyHFUuLaKmrYu/RHvTUbNJTU0gwwJYp5Bdn4PoquP8Xq6hLK2Dh1bfxsdh6vvW9/+Xrj+wheNNXuX2U19mCmd4941zJtBKTxJxcSgsyyApqWDaEIy6dEehwo0S1JHKKcikKuPQOZPR5NDSzlBu+cQ33ptfz458+wCPuSD4xYiQT0w3cxClcf9NsirrX8+Nf76dr2BhumaWzs6ycp8q7CKQXMqZgJMvzUslcMJliVyejaC53/HUBO37+Uz7741epmHgN31tZdMZ9wrUlucs/y1dL+1j36IP81b+t4uCopSy7fCwj/EAonbS0NJLMwQmcEqSO4UskMzcRzRXovhQKMoOn2kBPzqUgxUTahSz73HQiWx/jvu8+xObMGdw2HFoOHWGXM5m7rprJ+L4d/Mt3fsJ3Xw+TP+dGvjg7AcufQk5OLv0bn+Jr65sI+hLJyk/CGNiDPXQmd4wp5vpZxZg+A1eCljiEjEQfJpAwfDxFvdX88ZXXeepoLwEB+cOSCBSOoq2/kLnZoGJ9yqUi5HnWZO/pj739wgT0WRB3NfJSDHRNDXZRFEVRFOUiaG1F7t6NbG5+92V1doJleUG+o0ehoeGCvqb98z8jFi589/t/HyxatOiCP7tu3bqLss+adoth6b7zz7V0EdV1WOgB/dRCCR9EQmgYfhCWi+WC7tPQ4i5xCaDhC4Ibk9iORJgaAdMbcmM5ICQ4rsSyXYSmY/rAr3nP63EbYnEJusBvQCzmIoWGLwAy5hJ3BbpPENBBB+IOxOJeNpTQNXwm+AZGREYteTqLz6s1ui4wNYjEJZomCBgQ8ZaE9eoJRM56epV4+w8IiMUktibQwMtelBqGT6DrYEccXE3HMMGve1kHtgMxy+Wcz8Oaht/n1VfgBSVjlsRxXaTQ8fkgoEHcghgQ8IE5cA4dvH1EIhJ8YtC5B4SGP+AtTNIXdXHQ8Pu9/QDE4t7cbi46PsPbd8x2zwq6CDRDkGBAOHru7D5haJhSEndc0HXvWADLBvdk+1iA5p2LWNxBaDqGAYaURGz5pkCPMDSSDOgd2KcwNBJ0r428LDsN0w/SkdiOwDTwVjeWAkMD4TrE3UGlCu84TEAYXv1sF6Kxk23ilecbqGPcBst+c4agFBqmCUEdnLikzwbdEKf6tSO9Mh3p9SOf6xJzzjpPrsR1vWsDGy+Dy9DxaYDjYqGdPga880TcwZYCMXAN2BEXR2j4/OAX4EqIORAwvL4Zl8Jre+mdM0t618TJ/mjZ3vVycsEaY6CPnewXhnb6ejh9Dgftz4WY9MqLW5K4EJjCuxbirkAzvD5tSIhEvbqafu/aAbDiXl+DgXuG7Z47WCQ1jIBXN8uSxJzBfUWg6QK/DzQbwvGz+y6gaQT8XnvHbXAN0B2IWi7S0AiaXv+MOaBp3rHF+mO09R1n60vr2L1fY/a3PsPSZBfL9frQ4LaOxM6VRerdm/y69znb9a59x5UIU8cQIG2vPQd/R2gC0wfxqOvV+xz3pGjcBV07fQ+IDxyThLjlzaHpG3QvseJeP5YD13HI9Ppc2Aa/H6xT17SGGQRhSeKOPHXNmYDtODjo+Afaz4rbdPfG6Dm4mXU1rXSMvI5vTE8grKJ9Hy4CYn02eSkmfuO9/x2jv78fKSXV1dW0trai639+FfWTNE1j4sSJJCcnn3O7GsarKIqiKMoHmly3DvfHP4ZI5M9/+L0SDCJmz750+1c+dKR0z5iU3bFcTo/Ic7FOdmcB0naJ2G8uQwzMQRaPnWNOPUcSPVmgHFQeEseS9J2rTo4XYDn/K32J40gcZyDrypVErEFb4y7nugoF3rGeqqN7cv49gRASJy5x4niZAdLFtrz5yf4s1yUWPVd9BeIc5yUS4Yz6ndpmSc4YDSldYpHB5Z5rP8I7Lvvkn84mcW1J71sciLRdrJPfdlyiETjVJQZXfCAWcLK97bh3fs6Z0WW79Nhn/jk8uA7C9QKIA3WM26f/24shnVWqlLhx6R17fFD9BlXunP3vLGKgXU/OTSbwsrn6z3F+ZNw941yfPk8gxKDrRnjnzTrVeO6gY/D2d/J45ECben9wsaIwqOsSPnUA8oy2F3jn65zHJ13s2JlzNZ7vc2fv7/Rhy1N9QAjvGoxGzvzuGdfOIGfeM84izqzbma3qDeU++VfmOcMV7lv0R9t9U7vFTA1Rv4Pf/u4PfP9gAZ/9+M1cngXxyMD+ztPWZ/LuTf1vOhaBtN2BKpxdW4l0JdbJirru+e9JjnvmPWBwfc7RRifLd215xjUUO+MicAeOcdA3Bl3XgpPlaviDXVSteop//Z8KuP56fnJzAlFbBfqUS0cF+xRFURRF+eBqbb30gT5ALFoEPt8lrYOiKIqiXAoy7iIL5/OVf57P1zVwbLAiKpB1mkssksGEj32eZ25jYKVe98JeaijKe0QF+xRFURRF+cCSu3df+kBfaSnaXXdd0jooiqIoyiU1KOtUORcvozJ23nRMRXl/fbAX6Hh7K8d/MF3CYzj3bIyKoiiK8iHiXNrfmsXUqWg//vFbr9KrKIqiKIqiKB8gH+zMPgHxfmg+DOWAPxMWF1zqSr01qw2ammBXFEqHw9is88yTcCG6oKEZtrZCwQgYmQMZFz5fI0JAtBdq9kFbKqTnwVj1rKIoiqJ8iIipU73hs9abZ9p5T/dbWopYsgRx/fXwNiZLVhRFURRFUZRL7YMd7AOi3XBgNfyPhLSpsKjgXQTP3gfR47B/PfywAz690gv2vWMn4PAm+MEuWH4j3Jr59oJ9AK218KfHoGo0TFuogn2KoijKh0xODtp99+H+93+/twG/nBzEyJFQVIS2fDnk5793+1IURVEURVGU99AHPtgnBGgG+KS35PsHndC8+voN0C9CVFJKcFzv3297VG49HK+AjSYEBi0bryiKoigfJmLFCvRJk5BbtyK7u999eVlZXrZeSgokJyMKCyEx8SLUVFEURVEURVEuvQ98sA8xEECTXuDvkpFccEqhEKBroBvn+cqFlpUNo+fDv4yF/OFQcIGt1d8D+16HslrY1QongMKLFHxUFEVRlEsiJwdx/fUf6Ox+RVEURVEURfkg+OAH+wY59Qu+C/1h6OqHqAsOYJqQmgQJfjCF95neHui3wJ8AThSiMYjpkJAAyQEInjx6G2J90BqBmATTgLQA9MXAFpCZDn4BwgU3Cp19EI5DHNB0SAhCciIEtYGA5MCP3efVsbMbpAYJIchIAkN4+7T6oSMKERscAZrmlZMSGjiGFMgOwfw88AW88rG98uJ4/y/eB1EbbAOSkyAjCE4M6g7C/l6oE5AE+PjLWO9EURRFURRFURRFURRFOb8PVbDv1NrB9bBzBzyxF45EoRfIyoCVy2HxaCgKAX3wxkuw9SiMmA/9h+HIUTjghznz4aopMCfbKy7WBBWb4P4KqLKgMAtuLYW1h6HFB9/4AowxwdcHrXvg8R2woQladAiGYOZkuGIuzMjyAnlCeEHAripYdwx+cwB6TJg3A764EnIBuxWObYFHDsKeTujTwReCFfPh2rkwIgh6JxzaDd9+HRZcCTdOg+IeeOaPUC+hYCJ07YCyE9CcDssWwdXjoDQLbrgXbrbg4H54+Bnotr2gqKIoiqIoiqIoiqIoivKX60MV7BPCS5qrPww1TaAVwx2jILUHGo/Cpp1gGDB0IpgS7Agcb4GjNXDlGLgqH9J2QMUBSEmCadng64Cd++DJw6ANhWuHw+gAxPZDYw30DAVLgM+C6gPw0DYIJ8LMhVCUAs17oaUWNiTAsMsh2QDhgOiF1gIYXwCf9cPT++HoMdhRD0tyob8FyqrBKPQChUU+aNwJh4/BHxLgazO8jLx4BFq6oCcKtgQcLwvxYCdUD4Gb5kFhDWw/BJv3Qn4KlKZ4WX8EICMEfrzzpjL7FEVRFEVRFEVRFEVR/rJ9qIJ9pyRA1lCYXQCXDQezEbbUQVUl5A2H7omQKbzhuLoPohoUT4a5QNpx2NsI1W0QBbRa2F8Jm8Nw+wy4ZQrkRGHbYQhpYPm9ue7iTVB1EFYdh+XXwtULYYwPOgOwuQGOD2Qduif/0QcyFYZOholhqG+AjT1Q3Q59qWCEIKEQphbByKGQG4cdB+D1ZjgU/P/s3XmQJFd+2Pfvy7Pus6v6vo+ZnnsGwOC+drHY5S5JiVwyZEkmzQgHw3Y4wvIfCjvC4b8sRzhsh4OWRYdFybJDClGiZZJr7XLJvbFY3BgM5u6Z6WP6PqqPquq6K6/nP6oHGAwGiwGxS1zv8wfQXZOVL+tlVnbmL3+/96B+BuJ6Z7KPsA2WfpDYqIFlQaCDZ8Opx6G7G8Jb8OoWrJfB42DHup0SX5+PNOSgoiiKoiiKoiiKoiiK8hn1mQr2BX4naDXwGOT2YOMmvPwXcG4VrpWg2exksbUPlvcDiIfg8Dh020AVIjEIhcDUO8vs7kGl0hnr7/BAJ5sOCYcnIbcJe0EnSLazA9s7YJtwaBC6rc7702fh69CZSASoep1tDCR0J6EvDjgQ1SAnOu16BuQn4Vf6YfUqzPwE/r91OL8Ny8Ckc/AZxL0DdK4PvUmYHINo0BlLMBIDuwmGpoJ6iqIoiqIoiqIoiqIoX1SfqWCfdpA9V7oAP7kMPy3DUC+cPQ4PFOFfXAbHe7dcVcrOTL52GPSD4N7dM/r6Hvg+IMC2Djrk4Gdd552UON8Dz+38aplg3l7B3QE5+e7/b5cd317m9nKmDrVlePlF+HER7CwcPg7jK/CDbSgHH1JyKzsz/YZC7/bJJzpTsaIoiqIoyt8wKYW6/lEURVEU5RfnczT22Wcq2CcOstaWr8IbF+GtPnjqCDwmYOM86IDQO9l9730jyIOLQSnf8zKxKIRD4NRgqwStZOf96wWo1EBEOu+JxSEe70ysUShBhU4WYFCAG3uwIeDB6U7Z7TttcnCsyIOfD7bB8KGwCi+/CTMD8NQIPDYGu1udTL2yBiHj3XXcuzM6M/zeJj9HB6WiKIqiKMrPY5sarh8ghYbQPnx5RVEURVGUn0tC4AVYhkD7HDxM/GwE++4KZDVcCGzoG4KTQxBdhrkl8N1Oll4dyMm73n7X78HB78ke6MlDuALX5mAqAYc8mFmCvQro3Z03pHtgYAhSq7C4CDe7OzMAr70O/881eC0C//MQjBggbkf5PiAAJxxou9AMwcQInB6Efgve3IVCBQg6E3L0+O/NGrxzdfLnrP/uvrsj2VBRFEVRFOUzLxXW2W/6tFyfQKohTBRFURRF+XgkYAlIhnWMz0G071Mf7JMBuG2oSbCdzg44fhRmq/DWefiHi/DkIBw5BvmX4Kcvwk4F/tEz4MjOOH5t792JM/w21JvQaB00MAGPlKBWhu//FN58HcYy8OUeiJVhz+0EBt0sHDkN/1UTfjIL/+cl+KchkA6MT8F/8QiMRUG0wGlDtdGZHON2oLHdgkYT2j60wzA8CF8ahj++Av/LPPxFD3x1CEYc+N4N+Affhn80CQnRWVfzjs/QbkFTh/ZBua/0O31UbXbavJPvQ7MBjTY4/t/YblMURVEURfmlsQ1BMqxju8E7D3AVRVEURVE+DssQRK3PR8nApz7YZ8Vg/FH4bQnhgc6T2/gkPKJDawl2fBgdhMN98NthmKtCOAtmGA6fBKMH0r2Q0oAo5E/Cbw1BvBcsAAHD0/CrJsQ2YMODuAEDbmdcPMeAKJ2ZcGN98PhZEGno3oOSACsOp6fg8XGIAW4XTJyF/2gMjgxBBCAMJx+GTAtyeQibEO2BBx6H0gosO5BMwuExiPZDrgD1LETS0BWH33seJkcga4CIdd43pEFPtlNyrGdh5AH4nRocH7zj6bYG6T547nmo52E09ze//xRFURRFUX4ZbENgG/onvRmKoiiKoiifOkLKe4/2Vmm07/Xyz1+ZgLoDbqDRlzTQPwupj35ndls3AAQYBjT3YO4H8K82oTEE/8M3IfepD4u+38HcIoqiKIqifME8++yz973sCy+88Atpc2nPYThjqUkzFEVRFEVR7kOj0UBKyeLiIjs7O+j6/T/E1DSNEydOkEgk7vnvn8EQ1i+QBHbgyiX4zkW43oCq35kIRDfgiYfhyw9C+jP60FhdayuKoiiKoiiKoiiKonyxfLGDfQARyA3BWQ2GHGgGoOlgx+HMJExnVScpiqIoiqIoiqIoiqIonw1f7DiWABIwmIDB6U96YxRFURRFURRFURRFURTl4/l8TDOiKIqiKIqiKIqiKIqiKIoK9imKoiiKoiiKoiiKoijK54UK9imKoiiKoiiKoiiKoijK54QK9imKoiiKoiiKoiiKoijK54QK9imKoiiKoiiKoiiKoijK54QK9imKoiiKoiiKoiiKoijK54QK9imKoiiKoiiKoiiKoijK54QK9ikKEvnB/6QoiqIoiqIoiqIoivKZYXzSG/Bh/Hab/fVNGvEsVipO3vykt+jepO/j7KyzHcRoRzOMJkAXn8y2BJ7D/soG9VgGM5Ugb8F9bYqssb9VZrVQY8cFVwpCkQjZXBdj2RBh4461+C3c8i43NxrsNXxcTUOYNt35LH1dcTLWOysFGuxvFNnYbbDZkvgSrEiMdDbNoZ4Itnbn1jn49X1WVsps1j1qvkA3DBJdOQa7YvRE9U7ztX0a5TIbdh/pmEk+/NH6qF0usb9XohgfJJswyYUC8CoU1vdZLbTYlzYDk3n6MxFiH23Vyi9NgJRNdhYK7PhhZDrL4S4TQ/uEvmiK8ikguev8LiWI938n3rfcx2r03m28//VfaKuKoiiKoiiKotynT32wz6k32Hj7EhsjJ0mGPs3BPpfm/FVm/CGKvRkGYqDrf811SYnvtPGEgdAN7I+0Hp9meYeZ1y5RHDtO/lgn2PehghbB3hrz19d5c3afNU/gBD7hWJKeoXGMk31M5UIHt20B7WKB1dlZXrlZZ7Xq4+kaQrcYHBvjxPQIDw2EOkG8oIlXXmN+ZoWLS1VutQSeDDAjSXr6BwmHhhnJhHhnt9b32F1e5s23tpmreuwHYBgayd4xHjg8RNehFIYAv7TN3o0bvJbKMj380YN9jcIGixdnuDqS4+SESS7kQn2V65dXefFqg2Yky2PZGEkV7PsUaePsb3Lz3CXe9rrRJsOMpZMYn7v85AACn6YjQdOxLf2Lm4Id+Ejfp+4LTEPH/vzt7I9NSBfXDWg5glDYxNQFSIl0m7QDDU+ziVoCIT1816He8HADCbqBFQoTMTX0n9utEqRLqxng+RqhmIUuBEL6SK9FpaWBYZIIGwghwHfxPYeWCGMaGpYmkV6LVsuj5QT4CDTDwrZNIrauQoGKoiiKoiiK8kvwqQ/2CSEQuo6miU//Da+mocvOjdPHuYFxa1WWX/4Z16PTWKPjPD8A9528VN2gcmue14qQGtQZuK/3NWg113njJ/MsGnnSj5zk14bCJCiwsrjGq2/N8GbYpm72cyYloTTL9Zl1vj8vOPTAWZ4aTNEjq7QWr/OTuTVefdMlnTvGZFgQFHe48dINzgc9JI4f5b+cSmDrRZZnlrk2M8uPrkY5e6iXB7o1oMTCzCLXZqvURk/ztZE0k8kWbmWVl15ZY+Wax0vJMzzUC1FdIDQdQ/sIfXMnoaHpOroQaBrg+7BbYUtLYB4f5z95dIBMOvLpP+a+QIKdXfavz1EwbZqhKOnP687xKgR7C3zrFQ8r18OXnxwmyRd0zIXKFvXlBf7JSobTk/187XD6k96iTx/3OjNvbPDnL4b5zd89zfGhBJrXwnnr3/BXe93cTD/Lf/5wjLi3wOYbr/CP//UM53cbWKNHeOKrv8nfe6SbsdTPe6LUhvYFvvevtpjdSPOb/+2TDFk6Vn2D9sx3+a+/n8QePs5/97vHSALB+tusz7zKd8N/nxPTeR7PtXGuf5s/++41vn2uxKawyYw/wnNfOsvvfnWI5N9UPymKoiiKoijKF8inPtgHBwE/7rcU9T4X/EUvBwflS53gkXmve6f7XJdu2aTHJ5m00hiJ+2s+cF2KCzeZXVzj8nqV1ZZFVGj3V0rs1fD29rhWsUiMZzl9qIuBMMAgh9yAYLXMT3Z3ubmZ5Ewqiru6xfpOi3JsjPGBHNNZE7Ah1M9wYZH9QpGlXUnvQAVRKzK7qRE7mWfqSC+5uADCHBlpoFeqfGd9h/V0jBPdCUwq7BXbFGshBg91M5a3SBKDhMXJ/A6XivvMbjY4lo0Q00Snv4WO8dc4ii1DQxMCISTogG6ADPB1Gz2apCcb7Sz4QeVq9+FjvPXD183dpXt3v/BLaOPglV9KYV7gw9YahWg3xEN0a3dtg7fN+naJC1shctEmVQPav+hteE+DnyARQkR6OHo4QI/G+YhJq58vdhwrP8RjoTC92dAnvTWfTkGTRrXM6rpHo+13XpOSoLpNqRRiw3SRWoPK5VvcvLRP5rGn+boVEHXa6Auvszr6OOFUN70f2IABoS4i7mW00gazu0+S7oNMtc3i+SKysI3Xk2HJO8ZRAyobZRbfqmJ/VSdlVHDWr/Otqzpu32l+/e9EaPkSvbqJLF/iW9cz/N60yp1WFEVRFEVRlF+0z0Sw7z2ki9N0qLc82sHBvbluYtkWyXAnUwsZ4DebtIWGi0C02rR88DUdw7JIhk2s21Ewt0Wj5VJtBwQIDEvHNHREy8eI2Fgho1Ni6js4bYdK08eTENAZSy4aCRGxtIP4gEATPr7rs7dbx9ACWlJHt2ySEQNb1wCJ32rRbLvUXUkASKFhmCaJqI2tC3TLomt0hAQGgdYJGMl2E8cPaGkmot3GdX0cNDTLIhELYQU+9a0CK8UWq36IuBEQ1iC4nz6tNGht19iJ5RjrTXPoneiCiZnMc+LQGi9dqVAsFHGmo1T9EJF0hCNdgwzHbx9CGsS66MlssrfbolITOOUyQb3Gssjy+GCGQ/HbURQdPdfF5JEyib8q0yhX2CFJHxIhDEzTJJ3Q7zg4o6RiNslmwIbbIpARQCCQ6EGTekWjQouGD1I3CNkWiYhJJ94qQXq0Gg7NtkcrAC0UoVFzcBEgNGgBskRp36PekLhemdXtKF2ZKKah3bEdAQQujZpD0/FpoyF0g1jEJmIKgkadprCQhkXSFggBgefhNZu0jDCGZRDRJbLdot7yqLtBZ/8IDdOyiEdtrPdlhUrAp1Vt4wkdLRwipIMmPQLPpdwAyzaJhAw0fNxmm2bTpR6ARMO2LWL3XO972wh8j1athWeEMEImER0ELk7LpdbwMSIRbFvHFhLht2m0A5q+Tipmo+Pht9uUGx5uAIEQaLpBPBoibGoHGWkebtuhUXdpBeALHdMySEVNNAmt7W2KM7NcjbfReoc5m7dJ2gdZm7KNt7rMSkljLT7E8dAs9cBj6aNOnuI5uK02ZSfADQS6LgjbOr4nEEIjFrcxBBB4+K02lbZP25dIOtnF4ZBFNGxiAH7bwXUcfEPDcXxcN8AXnfLESMgkfs/ae58g8KjVJBo+QvjUHIkvBYZpEo6EiBgCXbcR8R6mxwMQneNPC9o0HUnThSguTS+g4Xf6ORqxidj6O8d74Dm0621qnsQNQNM0zFCIWMjAfif6HyA9h3rdoelJXAlCaJi2TcQ2iZgHy/keXrvFfivA8SVoAs0wiYUtIlanBFO2Wzi+f3BucvA8j7bUEKZFLGwSs/R32/Q9GrU2DS94p007HHLn72kAACAASURBVCJim4Tu1WXhGKYd5mxGYLxTa+rjtRyaLZeGJ/EBXTewQzYxW//ijeEodHTDJBwy3vPZhWFjmhZhE3TdYXN1j81CQP5LT/DUVJL+whwLL75OOXCoeNArK+zt1Kk0fVyt83fUiMSJJxPkwhMcn3wV31nhylqbqS4Ts9Hm0mofj/ct4XZXubwpGR/cYntfcmNvlNNDUcbMGTZvvM6fXunnkUen+Y0nB4m6LWpv/gk/WbjGt16e4vemD32Cnad8VknZmVhLEwHgcZ9XO8qnlgYYSNk5z4tf1pNSRVEURfkC+ewE+4SGhoTWBjfevMW5uRILTXAl2Ok8Q2Oj/MaD3eRCBkG7RfXK61zREqx6YcI355mrOGyHUnQNjfLNswNMZsIgffz1m1yYWeeH800a0iA3lqY3G0O7VKX/8UlGT/QxCIi9FW7dXOR7V6tsOwGObhFNZnj0kZOcHovTLToBA1Or0Cze5KevzbO032I7lCA1OMrffmiQo7kI0KR48xpv39zk1W2Plh/gmVGyPT38ytNHOZS1iLRqlC69zlvaJF7vCF8dBG9xhvm9Clei/djzS2xvlVggjNU7zLMnh/jyRJrBJ55mUG/w5UKBi9+7SVN0ApMfxmu4lMtt9GQEO3TXAH+GgEyEtGzRqLfYRdB16iGe8iSe0N8NmhIALdpegItJIgahWovivstOKk5I14jeuV7dIEhH6JIVhONQRtBLF/nYJtvGPjdmq+SmUiRCLtQXubRSZ01mmXwgQ8QGKQVIH6u1xs0LFS5vbbLmaPixLqYmhvi1J0bo0gQaDrS3uP76Am/NFZlzdWSyj1GzxqitIQ2DYGOJhcJF/vW8T7EdoFPkf5vf4MlfPcFDE113ZLw08RurvP3CLd5eqbGCBfEunj57mMcGw7TPvcJrchCvf5LfPmShCWjtbbN87jyz3WfpHe/mbKZBfW6G124UeHmjTUuCtGP0D/Xx3BNHGUtod2Vy+UhZ5MbPrlHQ0kQfPsXpNET9Peoby/zpqzBydITHT+SJUmHj6g3OXd7gfEPQEhHGJ4d56tFpJuMQ/sBrZ49mZYvLP7jEVu8xcodHeDwPgi3WZpf4wcs1so89wvHDaQ6HfNif4/xMg0v7aX7nK1Mk/W22r9/kz8+X2ah7tI0QdirHc08e5fRwnBQS2GZrbolXXttkpinZNxP0D/byzWeGiG1vsnR1kTfXGqw3zmPmt9l+4Am+Mgo9kSZSbvHShRqNVD+PPzpI7MYiwf5HvbELcHfXWL5yk28ttlhvCNLJCCen4+xtadhWiue+OkVeF1DbpXDlBt+f22e27BLoBlo0xakT4zxxZpA+DfZvLbE8v0CpN8XK0j7razUqhkWke4gzR4b4laOZe5xcK7Ram/z4Ry2iooIVqvHiLYeyo5Ht6+HUgyd5tD9MNtQgCNb48Q+r6MluHnpygHR9gSsLDudWdJ4217m2U+dcycCMZXjssWnOTnfRfXCM1ndXufbyLC/vOGy0IBSJ0n/oCE9Nd3O82z44rPZpbKzws9dWubzbZtsTmJZF79gUZw8P8Nhw5GCxAhsz1/mLGzVWqi7Ssgl3dfPE6QkensoSB9pL11ncLXE5OoC5sMLeVpE5aWN2D/PUiSG+eihz8PkbOOV13nhhgQuFBuuehmGEmDhxjAePDHIme48D1Nmlub3CH18OMz3axxPTaaBMYXaeC5c3eLMsqXmCRDrDxNQ4zx7P0x+7n0FKvygCkDpBkGBwPML12QX+yf/0f/D61AhPPTrNmef/Ax7I2US0Hby1N/jj//EVfnBtl7WISeC06X3wOZ7+xq/xDx6N0TueZb1R4uJSgWe694l6+1xJTPJ3JlrsRzX+fGaXXxHX2dEcrgxM87VIiFCpwtrNeTavXuefnfsx//af6Qgksl2jbncjRhcAFexTPjopQdM8fngeXrioU6wZfNTnP8qngwCSEXjqeMA3HgkIAl0F+xRFURTlF+AzFewTbpugXOBmUdJMDfD8o3liRovSRpnS5jKLpQx6r0EGiXTbbG7usKLnODk9zROhKsWdCnNLayyN5UlmTHL1Fd68ssV8PUzf8QnGk4K4V6S4VeDNikDzYIwAUV3m/NU1ru/q5I4d4VjMwK7vUdve5db8GiFzhNyQjtAE+5v7bEuD6UOHeDRcp1ra58b8OivDXWRyYXq9IqsrZSp+jKmHRxmMaVilAtVSiZnlfWwzxxELgnaTpubhHVRlCd+lsrvP/JrNZO8gRyZ6OdwuceXaNjtrUeaG04yZBjoRUlGLsAbO7b77kNJE6QcEAdhmCPPumlgB6ALdcQkchwrQJXR0E96biNOkdvMWN3c8NhPdfC0jSFV8tgPwLQtDu3vEMdFZr3BptzxqTfDCcYYm8rSDBj+8fJG/nDWJ2B6BU6PQSDA81svpPMQOPpIfSJbXS4QTaaYfynFSVFi7VaS0usorc3keHY3S4zcoXF/gwnZAMzfM82NpwpTZW2myug1iwMfo7aYneYivayu8WBBUjDRfmuxmNB8jcccWB/sVirfWWdTz5E9M8ngXNDdXKJWLnJcZHknreCv7FFZ3qB3qJ0GVaqPIbMEkOmHRZ9XxF+f43uw+ZT3LQ490kbAcWlsFStUt3pjNY45nmUrfuQ8kyACn2aKpuxgH2axIn8BzqNah5UnAhY1lrpYkm9kx/tYjGczGBjv1fS5d2SJ3vItw4oO+7ia2ZtMX9ZiplKjsdPNEPgw7ZdzdEm1NY2WvQe9+GixBsLVHoxmBaBLT3WBxscCNTZvpMyd4MGJiOhVaOwXmF9cJ/EG+PBbBW1xnbcel2HOIrwxHCTV3qVSKXFzIcyQTo3+0i66NdczRUTLjoxzvgXQEZLXE5vUl1sJ5uvv7mIzreBoEH+WuTgZQW2Xh1jovr0FuaoojCYuUX8XZ2WR2x0R2xfEEaI0N1uaX+cslh9jACM+eCBMOGuwvrbNX2OSV2RS/djiOEbSpVipccCL054f40rjAb28zM19gc07jQj7DdAZi7/mSSGTQplXcYtuIkMmO8MzjNqK4QaFY5sqFW2TD4zzYJ9BxaTXaaLZ3kK/i45Z3KW7CjZFeeo6G+XW3yfb8CsXNXa4mUuT7Dby1JVbWSqylR3l4IkYi7OE091m/tczWEoSTQ4yFGpRurXD9xjbrdg+HTyV4MuLg1baYXdti5ZbJUM8oA946Swsr/OyWT3xigqeTFhGnSmFhi8WFEC09zDfGI5jSp3pwbhrt7uPweA+HnCJXr+2wuxbl5miGCSugtbrF8nyBWs8wpyaiPBPykc0dVta2WL8W0P3ECHkN3jMHk/QJ/DbVpkE7ECAdqjdnOb/UYNnq5YlHs8REmdJOheXZeS4nYvjjFkNfpIpfeVBer2kIcTC2ozAQeoDQAqSUBB7Yx57kkXgf4toe9eoulblzfOfiPEe+9AxnjmToTx3hqd9MMfRUk5qpIX2faM8QA6M2lgAGeknt1oh+e5Vy6BbmQJRg7GlSR1vIkoP76io7XKWh9RM7NEUsBEGthtRNDn3l63wtE+VowqXpC4QVwgonSCTUGIzKRyelRBMBPzov+Zc/MlgqaLj+J71Vysdh6rC4LRDC46sPSqSUKuCnKIqiKB/TZybYJ5BIqSFFlExfjEw0zWOTaaRXZq64R6lSZKXkk8pCRuuUtzlOgIjFGD15iMOhKrW1edo3V9hveOxVGmRK61zcCZD5Pp55ZIojYaC0wK16kXOWjtQNBG2CwgozW2027X5+/cHDHA4DTpbmgkF7V8PEQ0oDIaDZAteKMHriEMeiDdrb87SvL1KrtSm0oFfXsDNdDORj5I710YOPQ5nZ4javbezT15XiSI9A6EYnQHZwrSN0DT/QcdoG3WOjPDxgYgVL+LPX2a42WG/CoA665uG4nYw+iei8Xzg0SzVKVYcaAilBCh3DtOnrjaPrnZJTTXSKY99H0pndUXZ+fE9OVdCiWa9R2Npl7UaFitlFbriPwaiAuiT40AHQJIHsDNkm/DYtJC3DIiZaFOttag3Q0LFCJpYhqdc8MnEDrTPhJFXXprenn4dPZ4lQp6hd4I3rZd5c2mcqb5ILKqzMldgPjTN4ZIrnDkWADW45VUpbVZwgQKRiROMTPCT3WAhMlu0+nnmg/93PfvsjtF28coOSzNOXzjI1aCDMKtebBhVDJ9HXS9dmkXJph4LTT8LYo1Gvsmz28OVclD52KS6tMtPIMDg1xrNnu4kioRBmYXmPt4REBD7v/1oKNKNzPLw7BmMnk9QyQdc1BD7Uq5RbgroVZ7C/iy7fYbXQolHy0YVL4LQpbtfYD8CTnTKZQLPoyibJRKIMjicx55pUdvZo04u/0cJtC3oPJVip1mgU9wnyJmsbDsLIMzySxq5eYW65yMVChEfHY3RlQ0QaDtVii5/Mb1Lxwzw8NoRRbdJoBlRDCXp7swz4UNwp8nZgEe2K05306H+7QGZkhP6j3UybABUKG3tcX/RJHe9jdDRGRPdoCkAIhKZh6AKQ+E6Tym6NfS+gLQ9KqDGJJ2PkEzpmYYOVnQaLZi+/dfIwp9M6OHusv7HDjAkVQ0cTgmBrk431PWbFAN+cPsSj/SGgRSMOl0oGm74HEoQukbpJU88xND7Bo/0WBEkS5Utc2t3jykabgahNLPLe/SgQGNJDxDMkxw/xdL8JbZuli7dYeH2dQqmHnb4YvWgYho6mHwwRIDR0z8dERwyMMn0kQT6oslVd4nv1Bmt7Deg32V0qcGulzkq+m5Fkgr6kS73cYL24xS0Zo9Ldx/DQHutre8xuSOKPT3D2cIo+I4BmhLjYp2zqOIHEL6yxWthnjjy/efwwZ7IGWlBm293h368WuT6/zVOjI0RMnUDqtFsG+dFRHhq2CbGMnJ9ho1pnowmjVoW9jW1u3CxTPNbHoVSS/qiLWyuzcHmDzaJL9NgI0RSktLv6TOhYho5petCusHa9wKbXTWjiMM+eSWFSp7o4ywvrt1jcKGMlEgwNfoGmM9E1RBCgNTql/gAEZba2W5QrAVqXRNDAa0bQY0f5+q9LmluznP/hK3z7B69zfmCS0FCOga4xTj07xqkPaifcTyxT5/DeLMvnVykEk/RP54mMH8K9MkfvxlUuOFt4R4Y5fDzROTeZOvFMhpQ/wZNPTfJM/+2V1fHqTVadxAe1pigfqBMI8vnzV3WWChoSsD4zV7PKvUgJ63sa/+4lna+c8Ttjdatgn6IoiqJ8LJ+ZyyMZ+ASWhZ49ypcHKjQLOyy9uciVzSKz2zUqRBiugecAlkTKgFAuRz7Xz7gFoOPIEMmwTlvXEDUHb7vBfjLHUF+6E+gDSMfJTncxfLVCQkpcz6eyXacVy5LM5zqBPgArTfjwA/ztg2sR6bQJ/AA7kyGXHThoU6MlwyTCOg1Ngi8g1MfRx7txanvsLl/l/HyJ6xsVltoa9XwDKV3ulYYngwAjGiHdNcJo3MIiwPPCRGyDqCnQ71nV2JksRLDPyoUrvH61wOXARMoAT4sS7+rj7/2tE4yZnbG3Wq6D63uAfVfjIC0LwzKJcUdGn/ShvMT1C8v8bLZFIzvMo2eGeWQi3VmDL0FKhOcRBPfYQAlSmthhk3gkwKjc4MVz21zejfLQs4/xaz0xMpZP0Cqx8sYFzq/U+HdNm995uIdeDTRdp3twkIGuBJ2YSpRMT5bpeoufbJVxXJ+WX2WrbDP8QB/jA7cjL33kchUe6KvytgG+B/guuBLP74wr5vmyE0i6Y1dosTDZ7jjm4gIXVlfYWuhiZLifYyM5HspYQEBvuESrUmW5BPlaFXffpdY3RMy2kFWHjX2HXO8AIz2Zg7JmAd1jjHePMX6vXXg/pERiQHeGgRtrrM9e5l+Wlujv6efI6DBffSxBVNTYnp3n3As3ebOlUfYlhm7iWjm+8vQ0zx1JEB7K0DVXwy+V2CLO7i60RYzxkylaP64gigE7QYzZHQOGQkz0CrT5Oq1qlbVime98b/OguzpR4VZLEu9vsYpguidNanOFyvW3+dOtJP39PUyOjPPl4RRhvUW15uFLcD0X16WT3rV2i7WtfS7ag/xGb4QxC/ACvEC+E3wOAkBzaFY2uPSjy7xRctkINEwhaOoZHjgzya8/3g+lJi09THpkkOHQwU7VIvRPZOgpNnEOUgUL5RY132R4dIT++O1y0BCRQ6d49I4u33ECbDvMxOQ4ucTBclofk30r1GSDV8sVHCcNkfeeYiUaAQmG+lMc7TcJAM3Okhisc+rKAm7Tp+RAr3H3BCwS34hhxxM8MBIiJ0C2JFbIxPRNAuEB++w2fTYKNdYKF/k3V2/P4CsJPA/T9tAKRWSiyH5bpxlJ8shUnJQBoEF4jDNPHLQXBJR269QIkx4dYiR8ezb0MPmj3QzulWjuldmQ0B1IrEiEdGaE0YRFiIDACxG2DWKWjh6AHuxS8xusVZqsnbvIzFvvzi7sOW1i+SSxDTgSAt4TIL1NoIkanu+yWjLoGu2mbzyFLgERJZLs5aHRdRb2i2ztxWEwe19fnc8FM4QpJZHiHuWWR4Um0fIN3r5UZckQhKYCDGuPG9+9yNWZNiO//6sc732QBx7zcBavcT0CjvPhzUAP8XiRBwa+w/97zcA1kvyHz0PMGkC3FjminefPLmUY6s7wd8cO/or09pJd72L9//4+5yyX0W8eYRhon/sWf3Flh3/hf4W//P1jv9TuUT6fZBCwtmselPN+0lujfFyi89yOtV2dIHDRNFWUrSiKoigf12cm2IfQ0GQAtRUuXNxkYacN8QjZiSM8mi2wv11gD4nzzmSEknA4iowl3psNdftHKTuBA01HM+6stdM6k3QclEN1SqB8AqEhzDu7qwns8varTYxsjsGJKCAJhyLE4yk6Y8nLg1YBKegkXVTZvDzPzNo+K9Iml+rhbDrGmcY+f7bfCS4i3n/lKqXENCwSiQyWoQF+J7vpnfXfq9MkMgBJgoHjx3hmaJJT8nY4RsewwwxGdMKOTjxh4S01cNoO3Dm6ngfsNylrAs826eKgzK5epLw8z4+ulyhpCYbPTDPZn2YoF313zLmkjRUzyJQbtAJJmzvCiNJH32+yh0kyZBEXHo21Ipttg2ZXnmM9UVIHQVotlGVkMMV6vcTr69vstLvICIEmBLphYt65/wwd2xT4vo8MPKT08XwwTQPrjvpA0zAJGZ1sxvu+pIxksCYe4JuJXQrbRXZ2a2ws3OBHO2V6Rwd4firFeD5Cq1ni1dUtQtslwrrG2ESOaAS8ko/nBwjDwLizXNot0tzb5cUli5GRHJM90btKpOXtSr13b2qEhq5r+EhkEHSCfYlJzj6eZ3hyj7XiLjuFDa5eqHBts5fnTnWRGxrjzFeyjPjiYHIEgdRsunNxbHSI9tAbnsMvFlhds1ioa+QSXTyWzNI0b+FVGqxtONwgymQ4ypjVCeS2Ixnyh/N883ACUxO0Ag3NNAkJjVg8RAwgN8XRh/OkRnbZ3S6zubfBzMU9bu6M8dTRCH3vTL4gDg7/EkvzO8zM7LLkVvnTv1wjZut4rk9Qr7HvNWiv1/nDtS6eOtvPkf5+jjwdps8JaNAJTPnCIpNNEg8k+66Pj4lmGrwzX4SmgamhawLhd75Hnh8QSNBN644JIYDmKotrLW7uR3n4dB9S78zmbFkWdx5+tqlhaJKW6+HLu48sefBfDdPQsbkd0NMxTIOQCGj5EtcXnTPzXdMtS9NAi4ZIHWT7dSZ3uf3vAeDTagmSXX088/AhejWfsJQEmo5lG5h2hKgZYBHQdCW+0LAt7T1/BHZvXmfXsWh0j5Fpy07Gr2li3Z74QWhgG52JTDwPD/ClxDRM4okMlqkD3j3OTR4t18CM9fL8c6OkQwZWO0AKA8sW2HaIUBgydz1nuLv/pPRxPdB0A9t+d7ZrXTcJmxAEfucc+oUywuDwHk8f+QHf/qM/5I+0ON0Jkye6osTjMUpN8Pw8Y4cT7O68xV/9wf/KP2+Cq1lk4o/x1GCek93311IkEuXoEYt/utPFfijPRBhCgBWzmBqXrIoxctk+jt4uJ45Nkz1s859+6fucu/jn/Pc/+w5NBLGIRf/EFL/32NAvsV+UzyspO8NbvO8Uq3zmdXatmmxFURRFUX4RPjPBPqHpCKeJV1rm7YU6BS3NE8cHmM6GqMkiM1sScTBm0W2GbmAanfG9tIO7zs54ZxIsHS1uEV6s0dxvUJFZEgJw29S26uz5khCgGxqhZAhrp0mtVKXkZ0nrgF+jsbbIG9cD0hNh+qdiiDvavPMaVAII0QlWOtvcvLHG3L6NcWKU0ZEoQ7UNdpdK6Adlfrerb9+zDinRNA3LNO64g5bvLnPPaoeDIJG0iebyRHMwfK/FojaRriipq0VKOynWxtMMGAABQa3I8q0qLauXdFfyIJDXpLi9xfXZPYp6F91jIzx4KEf/3TfqkQTh+D5D3jYb2/skuxNMWwfbXiyxNl9mP5Imn4jRJSS6lAQB+EGA/56LeB8CiedL/CAAOmO5BEFApVyiWI8TEEYjQFZqbO652HYEw0hg+g6JsMdaaZ/tcprpvABaVKtllsvgZm8fGx/Ob7o0qy20ZI7hZIrhbIGbF6/z422NVT3FM2Mpor1x0vUSlZVlLu21GB3o4kivRUwDw9BJxkxa+2XKlST0xTorLm2zNrfEa6vdhLIpDvfc2aoANDQR4PuSlgemAFotSjsNWr6NfxDN9ver1IWN3TvAQz1xtvU5Xpnf440bBifGswz0JOgdS9wx4cjdMvSnTJrlbW5c32Rb5simekjpYcbSML+3z7VZSTnSjx1PYAsJcQtDl8S1EH2jA2RuB76cMhsliS81YkCr1KCJRXJgmL6uFN1z81y4tcNPllKM9usMxjrfU6HpB8EzgZbM0zMY4owUOF7nxs40wNdEJ0CnaZi6hpAGpgiTH+4nf88d5xOPmJi7Lo29EkU3TswCAofWToNKw8MNCyQQj1qEjBqVvV0qrT76ogbg4K8tM3PT4bw7wKnjYBsCz3PZ2d6lls0dZKM12C432a1DtCeMod89vWyn9lyjRbHcYLMNXTZAnWapwppjEDU1IvbBwX/3SUTXEIaG8b6Ti6RzKo8StwSRsA7RLEf7jYMkOY/2TomqABEKg4gTM8uE3Trr222y+RAWATg7zN9YYtlLEc+M0xu1CVXaNHaL7LkxEiEAF3ezQskBLxohKcA6SK2xTPPg/HuQeXl7AwVILUZIN0jaAVYqz1TeJt45UGju1ag4AXYExL1m5D1Yj5Q2uqaTjgbcqlXY2PE5NdiZ8MFp7rO862FYERKxe6YGfo5FyfSP8MCXprn+0jb1UphwspeJh8fJhwfZ0W0MaRMZG2WyWWFub4GS49BOddN/7CzTgxkGP7Df30uEk3SdfJSnrTS12CC520my6R4Gzj7JV8emGR/K826Y3CbcPckzz27haXOUL5fZFhbR/mkOHT3GN46oMl7lr0cF+j6nVOWuoiiKovzCfGaCfQjwHZ/WXpN6KEGqb4Cz4zlCpXlWigVmShqRtveeAeXkQanf+0gJkTBGT5L+85sUC7u8udnLI3mJtVFmc6HMlh8iBZjCJDKYpWtuh+r2Nld2ejmRM4gW9lmf2WfbzJJMhIgDDSD4oDaFgMABp0KxZWFmejl1YpgJe4fiVpWLyw2ckNt5Yh2Ie86pIWUnIPLO6u8RE/igvvu57BhGPs2UMctaYZc3F7pIjoWJs8Xq5hov3nKJTXcxOZDttNZaZmm9wGtbUc5+Y5rpgRhdBxl08iBjTAgNXcsQj1eZTC/x1lIBaUYZP5LE0vZYXt3i7dk6xuAU+WyCCD70pOm+tU1hd5uLm70c74mRtx285h6Ly2XWqhrp3gxZ08Bywfd9KlvrbMVttnp6yFtFZleLXN8K6J5MEwllsD2XgR64sLmBZ4c5nckRby2ztl1gZg+sEe7I/Hx/f8qDwKOha7ilHQpXrnAudpTBsT4e6bM5WS6wsGYwrx28MZMg0hUmc2GdRTdNKJzhmWgn+4VYiN6eJFzaYnvDZnlwlD67wc76PrNrDsSjRMOd9MPA95FCR9c0ECYRG2i67BVdGgmP5naZ+eUKLa8LYRgQNPGXL/HKdpJKcpjfOtXH4Pg+h50d5hY7Y/353D2pyt1M8vkIOzuwOFskNjFGPNfZ533dBnM7DjOzDfqOZUilw4ALPVm6rq+wvrbMS7e6eWAoyoCzRenmFf7spk1kcJS/+9QAjfmrzOwbrHcf5bnDfYyM1Anabc6V9U6ASAh0AwLfodkE30gxdDrF0Om7NtF3qZ//KT8uJVlLH+Y/fiCB/WGBCg3C3SlSG9t4G6vM7WWJhELEK2Xml/bZqZh4kc6xm8onyW5XaN5aZnU4Sj6RItYuM3+rymbNxu6JEtHBEALHbbGxfIvNLoOpZASjusTVjSqrzTTD+SQRuxOyD3yJFAcZhEKiiQabhRJirszwoRjx3S02l3e5KeM8krDIa7IziSp3fHUFBykPkvfnPEikNIEEAz0hlqolXn1jlpHHRzneDa3SGm/+aIb1yCjJMyd4fjDHYLbA7tY+N27sktHzpBJ1WusL3CoHFGNRRqPQ05dkfW8Tf2mV+b0ssViURKXM3EyRbT+NNdRF78F23T7vvT+ZsfNCQI58cpOcuc65t1axjg/wyKDEKd/i5Z+sse6mGP3aw5xKQlIL8ALQdO2dQLyUkkBG0EyDkV6dme0d5mbj7OUGyBnbbG1v8vamIHW8i6Fc7EMOiM8fkRyi58m/zz988ucsZAzRf2aI3z/zMRqyU4jJX+U/m7zr9dQwyQeG+W/uuXEGYuhZvvI7z/KVj9G0oiiKoiiKoij371Mf7JNS4jsuruMRhMOEx/o4srXO5cvn+INbUaxwkl4zzHR3iZffvsCF0BHSp+KEPRefAOedO2PZKfFquziuh6NH0JKTPHusyevzq/zsO5u8Zuh09YZIhDMM0CATeLSxIHWIx49BK2rULwAAIABJREFUYm6Lc3/5Y16WEj8A3Yxy4sEJTk3kML0WuA6u5+P47xbsycDHbTu4roerhSA6wPGhEucX5/n2n2zwXcNgLCPIDSaIXV/k6mwaPejlaNtF2ndsv+/he50y5XdvqAM8x8V1fbw7PqeUAV7bxfECvPt6+h0nFBnkqWccLt7Y5dIrP+UPX9XwAwfdChMbOsSTk1mmc3QaXytR2txloQTFv3qJl2wN4+CG3/dcQoksg8cf5olRg/5cnuNPTeJcLXDj/Kv8wXkdX7pIPUwyO86zx3JMdOuABtlDPHTUIDG3yvkXXuLNQCA1iUCiaTGGRvr57dO95KICtwbC1BnvDpG7+hobL67zb3tG2JVxuvN9PHs0Tm8M8GIMnxrl2GsbzFx4nX98I4QIxxnUBFMDgiVNHJR+Swg82g60dJBCQHGeuZsF/mwtzvPPTHGyO0lPI0v00g3evHGNn+oCzfXJjIzz+FQ3pg7QRThSY8peppxMYqa73h2CLJ7BHj/E18qzXF67wR//ySwCH0dapLoG+MbZAY52azR3b3HxpzfZ6D1F71Qvj+XiTExlKF7f5oUf/5D/3RLEu03C6TTJQkDM8Qg0C2uwj6HiBheuvc4fXjNxnSZWMsvwkSHysdCHBPoOdEeJ7MQIX67TnTTJ5m6/Hsa6FcFsWowN2+S7AEyIjHPmWEDMWuaFl17kStCp9NR0g6GpYU5M9hEGImN5um5scPP8y/xfb2u4nkckEuXk8V5GulIYzi4DKZfvXXqTc8s7rJ5+kKeGb2e+vZf0PFzXo31/B3dng3rGmB4Hr7rE6z/+GS8EBpmIzmhPDCuiEfX9TqC9a5jBCY2vVxe4+MYbvPGyRNckjowwfmiI3zjdQ8yAsqsTNk2OppusXDnPH73coi48mlqWifFBHh8SdFlN9m4tcO38OoXxJzg2pTOu68hIFz2ygrX0Ov/8vKReb2JGkwyfmuJwLkGKBgE+juOhe34nuCd9PM+j5XZmV+10hCTwXNquh+dKkBqxY+McNZdpvDXPj7+7yL8HTE0QifZwdLybk31gkGBwchB0yc+uXeZ7c5JvIdEDn3j/JEemhjiWAJGaZKJp8HxjgXM/fZnXPYmuQ0CYySODnD6SRxfQdl18z6Pt337WIpFIPMfF0T3cADxsuiYHOWEG/397dx4m2XXWef57zt1ij9zXyqqsLVWLapGqJNmSLEtlS9g0NsYGMywNY6CZeXp4YKbXp3sexjMN3dDTA8MM7ukxDbSBB8Y0TRtsGWwsS5ZsyVqsvfZ9y6yq3PdY7nLmjxuRGZmVpcqSM1UZWe/neaIqMyLy3hM3Im/e+7vnPYfRV07y/NdO8JStUCYk09RN385N3JOD3PAx3jo5ylcH83zsQ3dxd17Hv5d+SLkUgZOk4+AODrx+kTdPv8EfXjxKEPpYToLchi08tDXD9jtouD4hhBBCCCGEWMqaD/vsRILWHdtxG7Ok0g6W1cPuHTZudpJLZY3OtLK5AbrdNsIGQ2ODhacdkj3b2EoTpVy1TNMhmWthy37wO1I02YCdp71vO/emR7EHihSMJpcPsYIS466LqxVZwOg0TT097LQ8CokZxv2Isp0gnW/gnt5mNiRAhRbehq1sjhppzxGPaYWDl25i8/4+yp0ZGm3AbqRney+l5ChqNKKoE2zoTLGx0cJ1Ryjn0+RTDqmN29jqNODn4k49VlsPHSnD3gxkHAALbWXp3rWVhkQDyUS1h5qNk2xg077tlFobqM4dcDPKypDu2UhfmMC4E1wqGcqRJp3L0bmhm62tycp4ewqTaqdna4JHmyJMEBJF8+XEURjiprO0pRSuAnSa1IZN7Ci5OKlJzs0YAqNIZBto72yjry1FSsfLRado6u5mp2VR8KYZKsUzq2ptkWpoYeumdrblHCygPDFLbmCQgwOnSR4+jCkW6d5xD61dvWxsybOtsVLCaCdItPdw906XZH6Sy2VFmGxmc76NzbmQRs+hPQEoB5o3sne7psfJxZ8ZO0Eyl2Nja4qMrbCsFOmuTeyYSuIOzzIYWCgvyZZN7fS1OZX33CaZbWPH/p0k3C5SrbUlhS5WppVtfWWi1BhquEzZgErl6OhoY3d7ihQhBTtBrrWJct4lZ1fe084eeoMk9zozjAeaZEeW5pY0bjKgozWFiwUNXWzqtQjtcc5MRxSjFhpbm9m2tYHGxDLr9BJNNG7cxgceKNKwMUtn9fOT7WDD9hSPZiy2tno01rymdGc327XFqDXFcDGkZLm4mRx7trWzuSUus6Spg85NNnvDUS4UIgrKId/YyJ6eLK0eoDK079jO3ZlJrukMLcnq79BCBoXdtZntDQlaUy5L94G97tMNKkfzxl4OWC7BlRIjZU3SiehxJxjyLHzXrYxUmSTT1snuXRGl/mmyUwHGtnGyzezY0sr2tFUZ289g2S5NHV1kUyXKqRmmLZdkUytbN7TQXpmgx0qkybc2EWUsMnYY985VHk3NSTq6NSXHZzbU5Jub2Lqtma60AmyUaqVvRxadysWl824bPRt8aEzhxakyyvFIbtzGnlKeKOdUdhTNdGyEA7MO3liZ4TK4boLWrk76ehpoqZRI09BK5xbNXn+Q7ITPWKCw3QQbt2xgW1em8juZoKGji7vDiNlLswzOhhjHwcs3sXtzK1uylVW2dNHuBezLQK66b9IZunduJedkSSSJS48TTbT2Ku6Z9siOlhgKFJbt0rmxm20bmuLPupsilQ/ZaNKkLUClcfIbuO8uh86WRLzsXBdbtykse4TjUxGFMN5PdXe3s7klsfT8HkIIUWEM+H5lDjEqf0EU2DY4lRp034dgUQ9rA2gLXAssHT/HD5d4jgbHiXvSGwNBPP8XSoHjxgfepfJ8pUbtXzBTaYtnxRNQ+ZULubXLtyxI1AwXU/t6LA9coFiqDPaiIOnE61YhFAOI4qFXIYrbH5r5oWMU8XAKjhUfUy5o/6J2aivet/sRUFmmpSvPD8HoeJbkxdUTQgghhHhvKGOWHvlkcrZ06wtTMFMGP9J05W2s5Q6GdlvEAzyXg/nJD5RWmOGzXDx3mb++0MgD92zi4b5GGUJkrfDL+DOzMDICb7+NfuEFrLfegmvXMLt3oT73OWhoJO5RWflYxzWiC8ZyXK7lxEgr7ras9A4QhQSRIYjij4S2NeHUKNNvvcbfTDQy29rLLx5sQS9znzX45ttcOH+VsYOH2NNp0bms2SBHmZm+zJe/NEvX7l4O3NvBnVdw+s7k4y/EynnssceW/dxnnnlmRdZ5fqTMpib3Xf3NXa4wDCEq8YlfSzI6pW5pNt4wBNeFvq3QmamEagHMTMPFK3BmMr7Q1HcXdCUq4ZwCXQm9hgfh+BCMFWH7JtjcHodrjlUJwBTMjMKx4zBgxevatBk2pyAowrEjMKjh4H5oceOJbEqVoM5z4rBMFeDlYUinYEsuvs/RlaDPwLUheOFsZZ0mDhbv6oM2C/rfgpMK7tsLGQ16Fr51BvwyRJ1wXzvki/DmRfAz0NcBTW4c3FkKQh9Gh+FMP1wLIeXF7e9NAZr5Ca6A2WG45EBPEswUvHQJpmehswe2tUOyAMf6oX8KrGW8R8aA58JXPzuL43pY1417K4QQQqw/s7OzGGM4d+4cQ0NDt/T3T2vN3r17yeWWHgd7zffsWz1FwukBXvvued6+NE2/rzEqLs/N5BvYuX8LW7pzcuL5HjKV1LX2JMFUblG5hDl+Ar7zHdQbb6AGB6FcJvJ9cBwMirDsx1elgzD+v3IGsLzeX9e7Le+9fOBWnolg+jxnjw3w3JEJrgSGcmQqsxEn2HVPB4d2tS41CfaNFxlGhEFAEEYEoQXL+lmDIYrL7qvluWIB+fgLIVaLCSHhwQP3wS98NJ6w7MIoJBuhQ8N3X4T/8Aycm4ZPfgp+qAWiK3C2DIU07GmByTPw774ETx6HDz0EP/cAFKbh9DDYlcDs2ikYPwIXFTQl4TM/A48mgQD+4NfgC1Pw/vtgdxqIYGdv/Cfk0iBMlcAZgdOX4UMH4Cc6YWoCzo/Fy3dDeP0IfOvkfNiXTMXreMCBr/9P8OvAP/tZ6AAowj/5XXjlAozug1/+CGwbgn/8hzDZB//oR+LtMDwIQxF0NoEagi/9DfzpYbAz8MOfhh9phHASTozP94QcOgrP5OCfvR+S4/DPPwffmIUPPg6/sh8G34bfeBLOT95svODVZ2bHuTw8y0Q5HkM3kU7T05YjMfe3O2JmaISBaR8710xXg1cZD7jM5NgU10ZKkMnS3pwl5xj84gyDgzOUM3k2NyUACKZGuThSZCYwoCzS2Sy9bWk0EEyMcGHCp+iHRJWJtULl0tXZSN4UGRwtoHM5OvOJ5R1OCCGEEMtwB4d9NsrJ0d6zgSBdpDOMIyGjbdK5HNs3ZmmRerD3TLWDaTzaV/xeRMZghoZQJ0/CqVOo06fh3DnUlStQKsUhn2WhtMYYg+/HYZ8Vhmit0cZUDkolQrijKQVunoZ2w86wga7QEBiD0jYqkWF7bwubUrcWNGW6O9mYydHWoMkv+8g8hed2ceA+n0xLDg/pySaEEO8JA2UbdtwDv/KjkLsG//Gv4c9eh64H4Jc+BR84BNkZ+KVnoFiM98/P/S78b4NwrhN++xfgk1vh0WZ4NYLZIF70f/4afPZJyCfj77UVh4o24DTD7iSMXYN0G9z3AHzhafi3vwuBgdki/Kd/Bw9n4H/+j/DyOXAVhHvg8XuBIvzxX8H/8S3IJeI2OTZkEvPjNxsDhULl/8rLnQ7Bn4RiI/z8Hjg7CMNlmClBVIzXHQZQ8GH2Anzuz+EvRuDQh+AXH4ef+jiMj8JfFePDLXz49lfgl56b76WnLTAp6O2En+6FT7XD5U64txfUCPzhM/DiZfAS79WbvBRDODnE4Tfe5tmzBXztElEmCFPc/+A+3re9mbQGGOfNp7/L35wfxWx/iM88toVtjRYwxonXX+fJZwcpbOvjiUcO8OFNiqmrZ/jqX5/k2q77+dXHN1EeHeD1V97k2wOKyNLxpGlWKx965G72b8pROPoK/+mFCYJ8jkbPwjIRRZ3n8Q/to3fkJF965jzJA/fzsw/2sMzRd4QQQoibuoPDPgedaGXzzlY23+6m3MFqq8iNUpgowpRKmKkpzNAQ5vhxeOEF9OHDqPFx8Lx4wJpkcuFyAD8I0EEQ1+kQzwpc+7+4UylItNDW20Jb78osMd3eRrr9Vn8qieMm2b1nZdoghBBieUwIbg9sfRg6SvC178D//To0J+HyYfitNujaB143c1dgDPEYeMkkZMdhdAIC4pnta8e/cWxIe3HJK8Rj9ukIyEP7I9AawuFjkGuD3p3Q8E2gcgjjWJXxaRWkE5BPg2tgSs+HeQuWr+LlLz0Az0JOAE+NwKMHoPsFOGMWtrtKWZBKg9cPz70EUSP8+wfh0EPw1a/Nr8uyIZWYH4PPtoAS/MG34f5W2PU4/AMX9qbgO1+DtwfAeLf5glZxkkuvvcKfHLb54BMP87G+BmCQl7/0PH/25Rfgpx/nkc4EzugF3pz02LWlmbdGL9E/3sqWxgY0GqVtejY0MqyK9J+9iL9pK5Zl43kuSVeDP87J51/ki/15PvnxR/hAlwPl83ztz1/lC39V5B985jF6LQdbN/D4jz3GB/ML47yRIYWbcPFsLRf/hBBCrKg7OOwTt8uCgK/ao08pIsCUy3D2LHzrW+hXX0UNDMSjVAcBpFJL99JTKu7ZVy6jfR9VE/bpSq+/+afKoZQQQghxJ/Ej2JmCj7RCaRT6D8e945QCZWDob+ETX44nb8/UzAKfbofNNjg9sLsLokF4aQqu6Hj8PIDGPOzoiQO5KIDJKRicgTYXfmwTRAW4/BY03Qcb2+CHkvD/FeLQ8KY0NDfCXT1xu4ICjI3CpF5GiKbhy0fhvvfDjzXBMf3O61QOJEYgeBOGH4S2RthjKj+jIN0A27srYV8IF4YhsqH4PHx1F/zCbng0AaOH4c8Ow/FZSDvLeZGrJWR6ZpgXjxbIbT1QCfoA2rj/B3Zwauo8Zy/M8FBHAv/UCFd1lg/uhPGXhzkzVGDXxgZaLVAmYiadozNjkRkd5pWxjeyvTHalKVKeGuG505pND+yLgz4At5ePHBrl7FODnL1q6A5B65CRayNcNBm8IMJKpGjMOHJcKoQQYtVI2CfeM8aYuYOaeMY5NR/yVSbdUMePo86cgf7+eFy+QiEefVrrG5bjqsqyfd9H+z5WFKGUIoqiubBPDqaEEEKIO5el40kwwiKUrjHXuw7AcmFrG1gRDI/H94UG9v08/K4Tj6k3PQT/+Uvw6gUI7TgkDIAnHoYPvC/u+TZ9Fb7yVfi/jkAyA/vyUByIy3N7J+D+LnjfA/Dnz8Wz/b4TEwEufPxx+IFDYLsw+Br82R/AX6bgptWxFpx+Ft7YBff+ADSPcfOEUYOx4tflOtAJ8fiyNuw7BL/3wcqiR+HjvwuzJXA9+Iuj8EQfNCTg8Etx2bJ7W4M+gDLlcJjhokdbS9PCh1I7+amf2Vn5Zpznz0+jm3vo2Opw9/EhXjg/ytCWDlpb4nmKS+U0Xa0p9Mhljhy9yO6tVnxIGoQEo5OM2g472lsWrqP7Xv7hz8ZfTr0MllPgxb97idcsReiX6bz7QX7koe5bGApECCGEuDUS9on3xPyYfJVyXWMws7OY0VHM4GDcm++VV1BHjqCGhubLdRPLHOylJuxzYC7kqwZ9EvgJIYQQdyal4jH2hmfhrizktkN0AahMcpHKwxd+FRrG4Md/PQ7yLAXP/A68vAM+cQh2NsShXxhWrj3q+CD6T74Cv/Y38Zh6KLA1pFsh9wFoAUZn4Nt5CKfitmzZDd53wL9J8KY0UITf/wv4necg68Ult/Zygr4KdxqePQMP98EDRcgbbjw5lAGj4+AzCUzMwkmgC8CH5/8L/Mp3Kj37FCTd+GJrYME/fxi2G5iO4IEfhm+W4NwJMPbtLONVKCxsbeIZnBcIKRUCAsslPXGGN0bKNO5qomRsMmmP6TP9XJvYwK4WFV9QDkMSPc1szkxy5cQ1Xm1pxtYqfnGWxjKGIFi0ChNQKIbgekQY/FKaj/zMB3m0OblgEo4Rma1LCCHEKpGwT6yaJct1jYl7801NYc6eRT/9NPqNN+JJN4yJb5nMra2oWsbr+1hBQKgUtm3PhX3xUyToE0IIIe5EtoLLU/Dty/DIdti6H9wLlVAvDZt/GBoMXDwJA4CpHDJ4RXjmSZhohH/8EHzqCfjeFJw+UbNsKw6+EpXy3zCAtgT86Kb4++wm+Nr/AlEYT4yR7YAfsuAvAygsZ+w9e+Hyb+l1W/BXr8Ind8HjzdBhx21YUgRWLzS/D/IBvHk1Lv39UOVhbUPCnZ+gwxCPsnL/J+GDvTDwbXilAQ7tgV+8B8aH4MUxcG/bVLweCaed7vwFXr56lRJNxJswIiof488+f4STW+7lv88OMqpspt96jt95S6G0oTSrOD9cZGyrU3m9ESHNdLcVaDx7hJffDOixFNgOXkszG6whLg9chrs2VNZtMFe/x+e+eAF98MP8hDJoBWEQUmb5Ya0QQgjx/ZDO42LF1YZscz35tCbUmnB4mOjrX0d9/vNYn/886oUX5mfXDYLljTq9iGJ+go4gCAjDkDAM59pR28NPCCGEEHcWZYN/CY59A14tw/veD//749Drwr0fhN/cB/4ofOmLzHV9qx4xJFx48gScngCvC/JZFsx0Yek4kHOt+GZZkE/APU0wfRl+41fgff8IDv0L+IsBIAUP3h8HcaZ2RUs2/PrlO+8wXt9191vgvgVvXISO1njcv+sOsyod1LId8OlH4B/3wdVT8OQzkHAqC61MDOLWtkNBtA0+cw80l+BvvgP/59Pw6hB0PwAf6IW2cJljE64KRTLTzEP7G1GXz/CnL/UThBFB4Rovf+kUx3SOv/dQkiMXi5Tb7uKf/MIn+Le//El+8384wBObNZfPjXJtsoSl460ahgbVnmNbZ5LyxWscixTKeFjpLRza4zF89E3+67EJylFEOHaWJ/+un0GvnY880ETK00TGEEURIRCFEUFY06XPGIyJCCqPhZEhuvXDYSGEEGIB6dknVlTthBsQHzObQgEGBzGXLsGZM6jXX0edPIkaGQHXBduOx+X7/lZMGIaoMIzXWRM41rZNAj8hhBDizuO4cOY0/Obn4B/+FDz8g/CBvwcmgGsn4bf/Czyj495qUJPn2WB9DyYOAQ3w6a1w8gSUAvCBT38svlUNDsHhE9AGHLkMX3YgacVluX99Hn68G7bfDdbLLFrRQiYEPPjMj8e3qv434XP/Lzyduv4gfqlFuTZ88TQ8sglaFz0n9CHZC//0f4R/ChDA6Tfhj74CTxegNVMJB2148FPw7Kfmf7ZwFr7uwI4sDLwIL5SgdAnePA73PQIfexQOT8BXTkPqdo3f56Ro2vMQv+K9xl+++CL/8gVDZFk0Nbfy6Z94PwfLr/E7UxFb9vTiOZUuiKqTvtazvHb4MpdGDXldmSXXhEATXZ2b2Je/wtcKKVqIQHt0vf9Rfjn5Ml989pv8i69HKG3R2bWR/+4TB9jqKqYNuN4MX/vi3/ENBZiIgtXEJz9+P3tchyQzvPr8S7z93ZeIwoBM20Y+eOhBPtR9m7abEEKIdUGZxYlIxeRs6dYXpmCmDH6k6crbc1fD1pb4ylpERIi67gqnVgqtNPZ7GAoZExEZA8qiOgRIPVlQrhvfgYmiuMRjehpz8SLq2WfRr7yCOn8+vjz8DhNu3CqrUGB2wwZO/9IvYfX0kLNtEokEiUQCx3GwLAutNap6wCbEEiQIFkKsJ4899tiyn/vMM8+syDrPj5TZ1OSu1J/3JYVhCFGJT/xaktEphX4XNSqWNddhDYgDrTCaD8Kqj5uanmlW5dDFRPFzlWbJYzZTWZ5WEFWWW6V0Zcw7Mz9Bh2XFZTZBVNPrrtKTbqkK2MVtXaq9duX7uXEBK2MJVishwpC5XoPXtX/R8rV1g3ZUbqryTfVndGW7QBycLreHmjHgufDVz87iuB6WtYL1v8YQGVOzfRVaK5QxhJFBaU3tKYsxEVEESisUhsgolFLxcyrLikz8uFWdeK5yP4vXAWAiwuoGq66DeHxpRbUCpaa9qmZ9Qggh1rXZ2VmMMZw7d46hoaFb+vuntWbv3r3kcrklH7/DevZFwASnTzzNk9fO8pcRlKP5A53AKLan9/N4+0F+ekuexKqf/BugyOX+Nzl2+RJs/ih3NWXYdNtnMFue68bk0zoO+JTCjI3B976HevVV9OnTMDaGmpmJA75V2K5GKUq2je15BI5DmEgQJhLomh6DtQf2a1X1QHzxfWL1zJ2sCHEj72J4gbVEgmwhFgrDd/5bW318wX1RHMjNBYTRjUtUFfGMttcFaVHcG7B2fWG4xHNNPMbfUstf6rd5cXuDxe038/fNLWPRfTda/o3aUX3u4u0U1WyXNbPnUQq91H5QKSzr+vuV0syfaykWPKWyrMUZs1Lzwd/1C9QssZq55cs+WgghxGqoi7CvGAacmR7i3MwIo+UZAhORtj06Ezl25Npp9TKoZR9SlBkdP8vQ+ChBbj935SBvQxiFEIziz1zgTL/F640Ps7vBIbfqoxqGzBaGuTp8EdMZsKFOZuW6rlxXKUyxCAMDcO5cXK579CjqzBnU8HB82dlx4pLdlW6LbWMVizS/8gr67FlSloXjONiOg7YsVLUXoWVhHKdyGV2vvRN4pRYedBsTt9l1V7Qn5KoyJn6PlzuL8hphKjM/V2duXvO0ni9/r5fPhWWhbDtu9xpu84KWVfdXa7i9N1J/LRbivXWz35GlHl98302G23vXy13O8m/23OWuZznruNXXKfsfIYQQ4vZb82HfVFDi7fEBnrzyNk9fO8mp6UFKUUCbl+VA40Y+0b2Ph1u2sCndtMwlKkKt6M3t4Oe2/Dg/2QPZ6tW74DJvHv0G37j8Es9eO0jScdifXa1XFrcFFJZ2cB0Po6+/UrjW1E68gTGYMMQEAWZ6mujyZdSLL6JffBF99mx8eddxIJVa1TZFto09M0P3N74BNaW6qlIGYYyJ73OcOIRKJNZm2LeYMeC6mEymfkKdKALPg8bGuL1rfRtXuS7k85h6+VxUP8upVH19lhMJ1Br//ZtrlTGQTEI6PR9QrtE2V6lqz2mt44sa1UC4phxAepAIIYQQQgix/q3psK8UBrw0cp5/dfRvuTAzQjkKUSg8bTMdlHhp9DxvjF/m0z338svbH6XVyyzdTX+ReMiNiCCCYlgT9tkb6Mo2szNxnq9OTzBSykD25sv7/soAbZxKQPVOs7LdzlLDdyrXjSYmUK+9hvrud7GOH0eNj0O5HJ9cVnvQrTYVj7tiF4tLP1z7Tb30kKtSKu6ZWPl6rYcNwFwvyrpSDUjqRW2oU0/q8PevrtocRZBOY1pbMY2NsHcvZv9+dHt7fGmpMpZqlQR/QgghhBBCrE9rOuw7MnmFv7t6jGOTV5gJyiQtB600GkVkDFN+kathmRdGzrIr18HHu/eQtW9ePmgArTSehvSCLRAwWy4zGjg0Jz3STuVEyEwxcOUIr48N8EZoUTQevdnN3N96Fzsy4CifoDjKuWvHeWN6gmNBxIzSdCW3c6BxMw+1JOLAKfKhOMzRwZO8NDXGCRx6M51khydBa7Sy8IrjzEz28+R4hrvbWtidSwOgohGuTkzw6rBhX3cX3ankexL+1Zbrmur/MzNw8SKcOIG+cAHOnkVduBCX61Z68NyWECK6SQ20MZWBbeogMKtVj+2ttzZD/bW5Xttbr+2uB9X97+XLca/P8+dRp04RPfwwautWyGZRURQHfxL0CSGEEEIIsW6t6bDvzfF+vjV4CgtN0nKw1HyAFM+aa5FRLhdnRvna1aMcautbVtinlaYQzjA0O8yrY4auRDy7W4M/xplZzZS7hYPNOTakgWiW0thpTgwc4YXhfl7UDoVQsSVVgnILzZtmNt0dAAAaBElEQVSb6XJnKU2d4fkz3+Pbs1OccBzGTcQGXcKfcdie30q7o8AfZ/raa3z73Am+Mj3JeS/F3YlZNpcmaVOaVqVxwwmmJk7ztyctAmsfW3NpEgCF8/Rfu8qTF1toa2pjw+pWxl4f8vk+plDATExgzp+PJ9546SVUfz8EQXyC6Xmr26ibudnJq5zcCiHWO2NQxSIUCtDfD6dOYWZmCH/gB1B3340yBl1zMUZCPyHEmlFH11aEEEKItW5Nh339hXFOTg/iagutlu4pZinNcHmGo5NXKUXBspab0AkuzZ7ij07/Dr9/xqBQpKwU709u5mDDTu7dtoUDrS5pG2amrvHmkZcZyB7kkXt+hs+2KtzSWd44f5qnLjzFWy0/iJ2cwpoc4i11Dw/etZXf2taFF0zw9tFnOTPxMi+Ob+ahVovkzCW+e+4Fjlkf5ond9/KZHguuvcyXzw3y1KTFw2GEyXWTtcc5dOp5KGzkqN/DPQ6okYtEMz7NHR+mYZVDNWNMHPZVgr4IMKOj8NprqGefRZ85g5qYmB87bI0PuC+EEHeM2hnPUykIAvRTTxHlcoStrVgtLUuOTSmhn6gn8cynRo491hlLy3sqhBBCrJQ1HfaVooDZsIyjb1yyqlD4UchMUCZa5iVBP/Jpdjt5vPlh9jdCoz/I6OgAR8f6Gc/2YaVzlfLecWaLlzk8eZmvz5SYmD3DV/rBjcY5P3qFC1MhHx18hLbOLvZ1KP7brE0mKlMaOMIbU2f4xvAR+sM2DszAA/lJJovjHJlpYVtfD+/ryZN1gY6d7J4cZ6RwBU9FlJRN2mnmwVyRbxWKvDkK97ZHXJ0MmfA1uzZ65FZxolNjTNyTDzDj43G57tGjqEqpLgMDqKmpuGTWtutrPCshhLiTKBXvq2dnUUeOQHc34WOPYWwbHUVorSXkE3Un/sxqtrZPMTKdJzKg5WNc16rXHra1TaKUJ/slIYQQYgWs6bAvY3s0uqlKABX3wFssMoak5dDspReU+b4T3/g0ex0can+Qv78JPDONP3CE/xq9yGl/lKOTZfbkXXJ6Gj+YZCBKUnQKTIUDvDEeYbBQbgOd3RmaHYeE1ljJPJuCAS4NXePwyCBnSiP0l2aZcQJmywpTHqfolxgMu3ikOU+vW2mM00lHtpU9zgBDGMohYGfZ1tHCM8M+V4dGCZrLnChnGdEJ7mmE3Cq9a9Uefab69dQU5tQp1FNPoU+dQhUKmFRqfpZHIYQQa5tS4LqoS5fg8GH8Bx/ESiZxqkM1GCMn1qKuKKWIjMWP3D/O6PgMp4Y7KIV1NlmRWMDR0NtwlR99fxGtu2WfJIQQQqyANZ3Y9KaauDvXydHJq5SjAGuJP/6hiehM5tmf30BCO8targIiE1IKYKwEHV4Gp2MfP84Iv3duhK+fe4kHux5kt7YwJoVWffzczvu4f+MmOk2Ehjh6VHH8qMpXmLryBr/19lFGrQ52dNzLIz1beGzwL7g0NcgpDD4WSikcFVAOQ0rzrwA/Ciiayoy7EeC5sOFu8mNTzI68wdiY4qhqQSU72LnKQV/166ga+tk2Op3GZLPxSaOEfEIIUT8qfzfV9DSMjhL4PkQRVhShlJrr3Sehn6gXSimU0uzbnuajV87Rc+48s6V42JH4QOo2N1AsT+W9UkDShbt6LA7c1Ss9joUQQogVsqaTmwNNm3hidpS3JgaYCcqkbBdL6UpYZwhMxFRQ5MH0Fj7RvZescytj2S0q+bU86Oijb/hVrl45y9mxB+hoayeXGOAu+7ucGNyMnd3EDzdqYJqpq8d5+tIVGrZ+mJ1mguLIBb6stvJEz35+fnMXyenzfL0wzGsFTZO2cN1OEt4Zeq0X+V7/Xhyvg+4GYOoYp4cv8M2Sxd2m+oYkwO1jq/ddwpHjPH8pyaR+hI357hXasu+wVYzBRBFRGBJmMoR79hC0tmLOn8c+dozksWM4IyOoICBynHjsJyGEEGua8n0oFgl8HxWGRJVwT4I+UY+UUiTSDXzg3jZ6Gk9TLBaQ2R3qlcL1PHp7t5HKNC6YQEgIIYQQ796aDvs2p5v4UNtdHJ28yuGJAQaLU0wGRSJjSFgOnV6OA8kefrBzN/c395K0ltOzzxBFAX4Y4ptFh4ZWD72pNxgyl/netXE60m3cl+ng3q4mLo6d5qWTRXRXEscfpH9olEsTDvf5Ecr1sJw0XVbAZPEyz41OkpgYob/sMx0ZLg2fYl/HFu7JdHJPa4ZTY8d5+vQMhXaP3OQopyZLoAJC4skw4uucGbZnXSYTPn897LJ5U4LtzSu/jYEFPfqqYV8YhoSOQ7m1lVJTE35rK+TzTKfTuBcvkhgawpuawimXwRiM1hg5WRRCiDUpcl0C18UPApTvY1eCvtqbEPVCKYVj27R39uAlswTB8iZoE2uTZVk0NkrQJ4QQQqykNR32WUqzr6GbX931EZ4cOMw3rh3nxNQgpSigw8tysGkjP7rhHg40biTvLHfWCo1le3iOi9Ywf1ihAI8mL01LOuD89ChDM03Q1sH2uz7Co8ef4kuXv8S/vOowbZLsbbiHT257jIea0jQ47ZTUXn556Ov83oXv8PcvtXEw/Sg/lenhPucy/+bad9m9KcOuzk3s7/0AZ069wJ/0v8gfD+TYl3uCD9sb+EjqMhO2WhA+5nIZmvOdvD2d44G8x570Sm7dmKmZkXHxmH1hEBCWywTFIiVjKGzaRLGtDdPfT+7YMdqOHiU3PIxdLsskHUIIsRYZgzIGv6GBYmsrfhCgfZ/QstBao7VeMIwDyMy8on5orWlqarrdzRBCCCGEWHPWdNgH4GiL3lQTP7nxIB/t3EUh9ImMwdUWGTtBi5cmbS+3fFcDDezZ+d+wNbKJPGhyFz4j0/F+DjTczQbVTEvCAhR43ezu+xjtGw/xKaMIscjYWVoT6cpkGUncbB8P7W9hc1Bi1Dhk7QY6rLvQpkSfb9GaaSSPC813cyjVw+5ykXEs0nYTTSokp0v4bppk7TsS+WQMNGS30u5kuZUi5e/HXOhnDFEUzd/CkDCKKGYyTPb1MdDSQvLqVTovXqRrYIDk7GzcbOnlJ4QQa4IyBl0uU2xvZ3LLFowxOL5PpBRRFC0I+YQQQgghhBDrw5oP+wBsbdGWyNKWyK7A0hwymU4yNffMj+ds0G4DObeBXO1jyiGVamdjCjYusUSDQllJsrlu7lri8QXXnO00jdk0jTdsX5FieZgT/Rd4+9pJzocp9rd3sSGRupUX+a7VBn21gV8YhoS+T1gu4xvDbDJJsaUFbJtx22YomaR5ZITmyUlyhQJ2GIJScfD3HrRbAToM34M1rRESpt5WEmbfHgv2JXX6HrxX+0OMQYchRmumWloY3bSJqc5OElGEGwREtr1gPz/3s3W6XYUQQgghhBDz6iLsW21qia9ufM87/fxKKFIsn+e1k9/k92cS0HYv/6Y9S1dyRVeypOWc5BljIIpQ5TKqXKZkWVzs6OBCQwONQ0NsGRhg09AQ+dlZnCBAG4NidU9wFRApRcHzMJUZkpfzM9Rxj5Z6br+q+b/eXkF1u9d1HFLn7V8vn32MWfnAsrJMQ9zDOlSKYibD5Z07mejtJcpkcKMIE4bXhXwySYcQQgghhBDrh4R9a06WXOoAn3x4B4ciDXaCNk+RWKUxi6snd9WTvtrB2rXWWJaFbds4jhP37gvD+dKvSrCmfB/fGKZbWngzl+NkTw/tw8Nsv3KF7rExvMqYfqvVy0+HIVOpFH/X18dMIoEbRXNtq55Mz31tDHYY4oQhVhStQmtWl4K4/UGAHUV1GZbZQYAThtiV8SHriTIGJ4pwggCrnrZ/9ffAGJzK57/uPj9KLWi/Va+fnzDECkOo7KdWlDGgNWXHYTKVYrCzk6HeXoq9vbjNzaSjaMFkHEtN0CGhnxBCCCGEEPVPwr41x0LrJPl0kvxtWHs15KveasO+2vH7qs9V1Z8BikpR8jyKnkfRcZhKpbg4Pk7b+DgdExPkC4U4IFEqnr13pRptDIHWXGlsZCKdJhFFc+2itqdfJeyzoghd+b/aE9BUllMPrCiKX0MlLKi3Mbfm2l+nYY2uaX+9mGtp5XNvG1OX27/afqvS/rVuwX6lElauyue/Es5ppUBrQschSKWYbW6m1N6Om8vhOE7c01pm3xVCCCGEEGLdk7BPLLC4V191zL7FYztVw8DF4aBT6eVXzuc5l8txsaWFttFRtl27xobRUXKFAgnfx4oiVE3J2felshztOFiuix1FqErb5kK/2qcTj7kWLFjE2g8OqvxF39dTUAmV7X+z56zB11MNhastmx/rc22rfj4Wb9G1t4VvztQEZ3XR/hsEenOfoRX4nNfu3yzLii/QWBZJzyPpuqRcF4f4j72uzMArgZ8QQgghhBDrm4R9ApgP+aolXFrP1w0v6Mmn1NwJZbXXn+u6uK5LqVTC933K5TKu7+P5PoFSTDoOrzQ3c3R6mq7hYXYODNAxMYFXLsc9/FbghFMphee6pBIJksYsCCOXPRZhnaiXcO+G7az0sLxum1ffpzrocVZPnxe4cXvr6nXcKDirp9fA9e39ftpfu2+r7pu11vF+2XHwXJdkIkEymcTzPFzXxXEcbNtesI8UQgghhBBCrC8S9ok5tYFf7ffAgoDP930cx8FxnPlwrxL4lctlyuXyfPDn+5QdhyAMmXYcLrouE9kszRMTdIyNsWF0lHyhgIoijGURvcsTz2rYFyYSJCvtXW7gV09hQbWt9dLmd2rnSoYe75V6D83qcZvXquf2L54MY6XU7tuqIV71IozneSQSCTzPWxD2VfflS/Xyk/BPCCGEEEKI+idhn7hOtWff4sk6qjfbtudutcGf4zhzQV/1a6dyc30fX2tKjsPFfJ5rTU0M5fPMJJO0T0yQn50lVSrhhGFcLnkrZXqV3oiu52GSSZIw174blazVa2iwWoHBalpuQFYPr2e9hH1LtbfeXsPir9e69zLssyxrLtzzPI9kMkkikcB1XWzbvu5iyFLLEkIIIYQQQtQvCfvEnMUz81bvqy3prQ3+FpfzzgV8lf+rvf6qN9/3cctlEr5PkEox4rpca20lOzXFhsFBdvX30zo1hRcEt1zGqZTC8zx0Mkla67nw0bKsddOzb72GY/XwOmD5278eXk+99RCF9bP9VypoXRzS1Y61qrWe68Xnui6JRGKuh1+1jLd23yghnxBCCCGEEOuLhH1iSbUlvbXj+EVRhGVZRFE013vOcRyCIIjDvEo5bzXoK5VKCwK/ahBY9n3KQYAJQwpac8FxGG5ooHligu7RUTYND5MrFsEYopuN61dpX8LzcFIp0pY1147FpWrX/+jaDgaq7qSgr/p5W0vWa9C01ttbtZyArF5fy/fb7try29oee7U9rqv7w+o+calez2vtd04IIYQQQgjx7knYJ66z1Lh9td9XQ79qLxLbtgmCYC74q47lV1vaWzuWn+M4c6W9brkcl/d6HpP5PGP5PBPZLFOpFG0TEzRNT5MtFrHDECCe0OMGbXY9D5NIkLTtuRK2xQPR1waY1Z9ba5YKA2rfg6Wes5bdSk+menhd66nt9dBmWN9h383ufyeLx9m70XAL1d58i8frkwk6hBBCCCGEWJ8k7BNLWjy+Xe3J5OLg753Kequ9Sq7r2Vcp661O5OH6Pknfx0+nuZZI0N/eTtPYGFuuXOGugQHyhQJOJfC7TqV9jm2jPI+E4ywI+2zbXtB7pV5CAajvYAnqv/1VtzLRyFq1nt+LenoNK9n+pUp5q/vl2vH7qmW7SwV9EvYJIYQQQgix/kjYJ25q8cngUiW+1RKy6ollGIYEQTDXy69a2ut53oLy3togsFwuY/k+Ogjwg4CZhgaOJxJcaG+nY3SUTYODbBwZIeH7AAvKexVgOw6W6+JWAsZq4FdbyltVT+FArfUS2FTVa7ur6q399dbeWjdr+1p9bYt7Ea9kj8QbhX1LXYip/V7Kd4UQQgghhFjfJOwTt6y2dGzxeH61g8RXg79qL7/a0l7Xda8bz69UKsXlvdVef7ZNKZFgOpulmEoxk04z2tBA69QUzVNTZGdm0GEIlRl8bcvCqllfdYD62hPdG1mrQcFiS5Uf10vblyJtf+/Va7vhxm1fq4HVjUryl3rs+7G4nLc28KsN/mrDvbW6zYQQQgghhBDfPwn7xC1ZKuhb/HW11HdxaW9teW81+Fty8o5K2OeUy3jlMn4Q4Dc0cDGX42J3N13j42y+epWNV6+SmZ0lEYaYmnK16q22fO1mJWv1HIDUm3rf1vXe/htZr69rrVjt7bu4lx+woEfz4pnVF/+MEEIIIYQQYv1YnbDPgDFyErHe1fZQWTwmXvW+6uy9S5X3VnvfVcfuqy3xrU7kUa4Eg36ltDfUmsnWVo61tHCxr4+ekRE2njhBUmu0ZWHVlKotvt2sZE3CjveObGvxbsjn5uaWKu2tvV8CPiGEEEIIIdaWKIoIbzRHwRKqnaveycqGfQaUAq0hNAYbOam4Eyx18rhUL7+blfdWe/ctVebr+z6+7xMEAUZrAstiWimGmppQzc1klUIlk9g161o8NtXNfhnkJPi9UVvKKIRYPRLwCSGEEEIIsbaFYUhnZyctLS239HM3O8Zf8Z59WoFWhlIQYWmNreUk406yuFdJ7Rhz1e9vFPrV3lzXvW7yjnK5TBAEQCUw0pown2d040YKiQTZRAIHrivblYHohRB3ItnnCSGEEEIIsbYZY0gkEiSTyVv+2SiKbvjYiod9loIIQ6FscDTY7kqvQax1i8t7YX7sqOp9xhgsyyIMw+tCv2ppb23IV/3e9/25MmEgDgUti4Rl4dg2lm0vGfLJSe/aIe+FEEIIIYQQQggRq804VsqKhn0GsCqVkoUgouArLK1xbTm5vxO9U3nv4tLexaHf4vCvXC7PhYDGGKIowhgz1xPQc925yThqe/bVkvJRIYQQQgghhBBCrHcrX8Zb+cdShnIYMVOK77AthVLIKH53qDjkA1BgDAYDBiKtMVFc8h1aFlEUYtvVWXttfN8hCHxc1yWoTNQRRSFhGId9taGg57m4jrNgBl49t17pUSaEEEIIIYQQQoj1b8XDPkMc6CVtKIYRs76hHBqSriLhaBw9H76IO41a+LWKw+FoLpRTREqhlUbryph+VkAQOjhOQBAEhEFAWBP2xT35NJZl47outlMT9Olq+a584IQQQgghhBBCCLG2Vasfl2KMmZvH4GZWPOyrUgo8K+7hF0QRhbKi4EdgKuO5rdaKRV2J69IN8X+GyICJwBhFZDRRaBGGVG6KMNREUTRXxquMQkcaHWrsSGEHYDsGy4rQGrQ2KBWHiZIyCyHE2tKRW7XDECGEEEIIIeqKZVkMDg4yODiI4zgLHqsOhbZ9+/Z3nJijalWPsi0F2gKFITQmDmwMrPC4g6IeKa5LfKuDUlY/HwaFURo0KAMaBUqjTUQUVQawrJTpaqVBaYzSRAaIDBEGbaK4fLzyPPnsCSHEWiJhnxBCCCGEEFVhGHLp0iVGRkZw3XjG2yiKsCyLHTt2LHt4slU9yq7mKo4Fzjs+UwioDOOHMaoSyqn460gRRgpjorkQz5gIE1XDvvgWl/9qVGXij/kyXunUJ4QQQgghhBBCiLUrDEM2bNiA53m8+uqrjI2NYVkWnufR19fH3r17KRaLy1qWXuW2CrF8SsUlt1rNhXVWpV7dcWwc28FyHGzbwbFdHNfFqUzIYVs2lm2j32G8Psn7hBBCCCGEEEIIsVaVy2VaW1s5ePAg+XwerTV9fX3s27dv2UEfSP2MWJPmZ+41mDi0Mwa0QVfqcM3c/yycbVepSqh3/cQcUsErhBBCCCGEEEKItaxcLtPc3MzBgwe5dOkS+/bto1Ao3NIyJOwTa5pSai7Yq5brwvz4ftXx+GqfPx8W1t4nhBBCCCGEEEIIsfb5vk9TUxOtra23HPSBhH2iDtSGfEAl5LtxgCfhnhBCCCGEEEIIIepZFEXLmnl3KTcM+yzLwlRmPRViLZEwTwghhBBCCCGEEGJpN5ygo1AoEAShBCtCCCGEEEIIIYQQQtSJG/bsO3HiNF1dHbS3t+H7/nvZpndNgkkhhBBCiNvDQDyxFnI8JoQQQghxO92wZ9//8+8/z7efe57JySksy8KybvhUIYQQQghxhysVC0xNTc9NrCWEEEIIIW6PGyZ4llYcP3aC5577DuPjExgDWkvgJ4QQQgghrnfi8Buc6x9icmpKAj8hhBBCiGVZnYqIG5bx/vEX/gO/9duf4w9+/4/IZrPs27eHfD73rmcCEUIIIYQQ69dL3/4mPHyIRK6Z8SC43c0RQgghhFjjnMrt3SmXS+RySz92w7AP4Kd+8sfo7OzgC3/4J3zkB5/gox99gkwmjTFGQj8hhBBCCLHAy88/wysvPHu7myGEEEIIcUf49X/12SXvv2HYZ4yho6Odj3/soxw5coyTx0+SSHi8733309CQx7IsKdEQQgghhBBz4ovBEfF0HUIIIYQQYvXcuAT4hmFfdWbbTCbNv/71X+Wz/+tv8Kd/8kWam5u5++5d5PM5AinREEIIIYQQ15EZeYUQQgghbhdlltk9b2homGKxRFNTI57noS3NWuvYJ4eVQgghRP3QWv5yr5bHHnts2c995plnVmSdg0NDK7IcIYQQQgixPG2trUve/45j9tVqbW25/k45RhdCCCGEENz4YFMIIYQQQry39O1ugBBCCCGEEEIIIYQQYmVI2CeEEEIIIYQQQgghxDohYZ8QQgghhBBCCCGEEOuEhH1CCCGEEEIIIYQQQqwTEvYJIYQQQgghhBBCCLFOSNgnhBBCCCGEEEIIIcQ6IWGfEEIIIYQQQgghhBDrhIR9QgghhBBCCCGEEEKsExL2CSGEEEIIIYQQQgixTkjYJ4QQQgghhBBCCCHEOvH/AzrUIxzpuwPjAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "id": "a899db86",
   "metadata": {},
   "source": [
    "First create a Pinecone Index(database)\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "be5cd5bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.vectorstores import Chroma, Pinecone\n",
    "import pinecone\n",
    "PINECONE_API_KEY = '...YOUR API KEY...'\n",
    "PINECONE_API_ENV = '...YOUR ENV NAME...'\n",
    "index_name = \"...YOUR INDEX NAME...\" #in the image above our index name is langchain1\n",
    "\n",
    "pinecone.init(\n",
    "    api_key=PINECONE_API_KEY, \n",
    "    environment=PINECONE_API_ENV\n",
    ")\n",
    "\n",
    "docsearch = Pinecone.from_texts([t.page_content for t in texts], embeddings, index_name=index_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edad701c",
   "metadata": {},
   "source": [
    "### 6. Check your Data\n",
    "To check our data we will do a similarity check to see can it fetch data related to our document"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fbcc9505",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ask Me anything from the document you uploaded: what is a hydrogen fuel cell\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Document(page_content='This project meeting engaged stakeholders from various areas within the data center and hydrogen and fuel cells industries to discuss the suitability and needs of hydrogen fuel cell systems in supplying prime or backup power to critical loads of data centers. By bringing together knowledgeable stakeholders from data center as well as hydrogen storage and fuel cell industries, this workshop aimed to identify the research and development needs to enable hydrogen fuel cells to be a competitive technology in providing power to data centers.', lookup_str='', metadata={}, lookup_index=0)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = input(\"Ask Me anything from the document you uploaded: \")\n",
    "docs = docsearch.similarity_search(query, include_metadata=True)\n",
    "docs[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12869c0f",
   "metadata": {},
   "source": [
    "### 7. Creating our Question Answer ChatBot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ddfe58f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\hamas\\.conda\\envs\\ml\\lib\\site-packages\\langchain\\chains\\retrieval_qa\\base.py:152: UserWarning: `VectorDBQA` is deprecated - please use `from langchain.chains import RetrievalQA`\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ask me: what is a hydrogen fuel cell\n",
      "\n",
      "\n",
      "Response: A hydrogen fuel cell is a device that converts the energy from a reaction between hydrogen and oxygen into electrical energy.\n",
      "\n",
      "Sources:\n",
      "\n",
      "\n",
      "page_content='10 Some fuel cell varieties internally reform natural gas and require a feedstock such as natural gas or biogas. Other varieties use external reforming of natural gas and the fuel cell stack is fed pure hydrogen and air. Fuel cell varieties where the stack uses pure hydrogen could run off natural gas or hydrogen, but individual companies may not offer all configurations.\\n\\nUninterruptable power supply battery sizes would be significantly reduced, therefore lowering capital and maintenance cost and time.\\n\\nLiquid\\n\\ncooled data centers could make use of low\\n\\nquality heat for data center cooling dehumidification.\\n\\nMoving to a DC bus and reducing the building electrical infrastructure dramatically reduces the heat loads in the data center and would increase electrical efficiency for metrics like power usage effectiveness. However, proximity of the fuel cell to the load would be essential to realize savings.' lookup_str='' metadata={} lookup_index=0\n",
      "\n",
      "page_content='This project meeting engaged stakeholders from various areas within the data center and hydrogen and fuel cells industries to discuss the suitability and needs of hydrogen fuel cell systems in supplying prime or backup power to critical loads of data centers. By bringing together knowledgeable stakeholders from data center as well as hydrogen storage and fuel cell industries, this workshop aimed to identify the research and development needs to enable hydrogen fuel cells to be a competitive technology in providing power to data centers.' lookup_str='' metadata={} lookup_index=0\n",
      "\n",
      "page_content='Project partners NREL, Daimler AG, Hewlett Packard Enterprise (HPE), and Power Innovations rethought power delivery and distribution within data centers. A novel proof-of-concept “hydrogen-based” carbon-free data center was developed using key building blocks such as renewable energy sources, electrolyzers, hydrogen storage, and hydrogen fuel cells. The data center design evaluated hydrogen fuel cells packaged in a row-scale to power IT racks that distributed hydrogen instead of electricity into the facility.\\n\\nDevelop a novel, integrated, carbon\\n\\nfree data center proof\\n\\nof\\n\\nconcept design based on automotive\\n\\nscale hydrogen fuel cells and renewables for power.\\n\\nIncrease manufacturing volume and decrease cost to advance fuel cell deployment and adoption in diverse applications beyond the transportation sector.\\n\\nAccelerate market transformation with modest DOE investments.\\n\\nInitiate development of codes and standards for safety and reliability of hydrogen fuel cells in data centers.' lookup_str='' metadata={} lookup_index=0\n",
      "\n",
      "page_content='generation of hydrogen was also seen as a potential income source if there were other hydrogen users in the area. Building a large hydrogen plant could benefit several end users that are in close proximity, such as a data center near a warehouse that uses fuel cell forklifts.' lookup_str='' metadata={} lookup_index=0\n",
      "\n",
      "Ask me: quit\n"
     ]
    }
   ],
   "source": [
    "from langchain.llms import OpenAI\n",
    "from langchain import VectorDBQA\n",
    "\n",
    "llm = OpenAI(\n",
    "    temperature=0.7, # This values controls the randomness in the response the closer to 1 the more random responses\n",
    "    openai_api_key=OPENAI_API_KEY)\n",
    "\n",
    "qa = VectorDBQA.from_chain_type(llm=llm, chain_type=\"stuff\", vectorstore=docsearch, return_source_documents=True)\n",
    "  \n",
    "while (True):\n",
    "    query = input(\"Ask me: \")\n",
    "    if (query.lower()==\"quit\"):\n",
    "        break\n",
    "    result = qa({\"query\": query})\n",
    "    \n",
    "    print(f\"\\n\\nResponse:{result['result']}\\n\")\n",
    "    print(\"Sources:\\n\\n\")\n",
    "    for i in result['source_documents']:\n",
    "        print (f'{i}\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21651251",
   "metadata": {},
   "source": [
    "#### To have the bot retain memory you can do this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f5120034",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ask me: what is a hydrogen fuel cell\n",
      "\n",
      "Response:  A hydrogen fuel cell is an energy storage system that converts chemical energy from stored hydrogen into electricity through an electrochemical reaction. It is a clean and efficient way of producing electricity that can be used to power electric vehicles, homes, and businesses.\n",
      "\n",
      "\n",
      "Ask me: what did I ask you earlier\n",
      "\n",
      "Response:  You asked me what a hydrogen fuel cell is.\n",
      "\n",
      "\n",
      "Ask me: can you give more topics that can relate to this\n",
      "\n",
      "Response:  Sure! Hydrogen fuel cells can be used to power electric vehicles, homes, and businesses, and they can also be used to store energy for the grid. Additionally, hydrogen fuel cells are often used in industries such as aerospace, automotive, and marine. They can also be used to power remote locations that are far from traditional electricity sources.\n",
      "\n",
      "\n",
      "Ask me: are their other cells?\n",
      "\n",
      "Response:  Yes, there are other types of fuel cells, such as proton exchange membrane fuel cells (PEMFC), direct methanol fuel cells (DMFC), phosphoric acid fuel cells (PAFC), molten carbonate fuel cells (MCFC), and solid oxide fuel cells (SOFC). Each type of fuel cell has its own unique advantages and applications.\n",
      "\n",
      "\n",
      "Ask me: how to make a hydrogen fuel cell\n",
      "\n",
      "Response:   Making a hydrogen fuel cell requires several steps, including designing the fuel cell stack, assembling the components, and testing the system. The first step is to design the fuel cell stack, which includes the anode, cathode, electrolyte, and other components. Once the stack is designed, the components must be assembled and connected according to the design. Finally, the system must be tested to ensure that it is working properly.\n",
      "\n",
      "\n",
      "Ask me: quit\n"
     ]
    }
   ],
   "source": [
    "from langchain import ConversationChain\n",
    "conversation = ConversationChain(llm = llm)\n",
    "\n",
    "while (True):\n",
    "    query = input(\"Ask me: \")\n",
    "    if (query.lower()==\"quit\"):\n",
    "        break\n",
    "    print(f\"\\nResponse: {conversation.predict(input=query)}\\n\\n\")"
   ]
  }
 ],
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