From b4a3589695dde2b7acc2c7313cf07baae893b15c Mon Sep 17 00:00:00 2001 From: ofiryan <120390964+ofiryan@users.noreply.github.com> Date: Mon, 9 Sep 2024 16:05:47 +0300 Subject: [PATCH] update pip install --- DataSets/arXiv/arXiv_semantic_search.ipynb | 1106 ++++++++++---------- 1 file changed, 541 insertions(+), 565 deletions(-) diff --git a/DataSets/arXiv/arXiv_semantic_search.ipynb b/DataSets/arXiv/arXiv_semantic_search.ipynb index 002d1bc..e4faa67 100644 --- a/DataSets/arXiv/arXiv_semantic_search.ipynb +++ b/DataSets/arXiv/arXiv_semantic_search.ipynb @@ -1,573 +1,549 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "CWfay6K6ncTj" - }, - "source": [ - "![63f78014766fd30436c18a79_Hyperspace - navbar logo.png](data:image/png;base64,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)" - ], - "id": "CWfay6K6ncTj" - }, - { - "cell_type": "markdown", - "metadata": { - "id": "1Kone1nET7HS" - }, - "source": [ - "# Hybrid Search with Hyperspace - Academic Papers Dataset\n", - "This notebook demonstrates the use of Hyperspace for a hybrid search over a dataset of academic papers. The search combines vector search and keyword matching to find relevant papers. We will create a straightforward filtering function that focuses on papers within the same category, gives preference to papers by the same submitter with negative bias to papers without a license.\n", - "\n", - "# Hybrid search with Hyperspace\n", - "This notebook combines Approximate KNN (HNSW) with metadata filtering. In this scheme, Hyperspace uses the post-filtering approach, by which the KNN score is first calculated, and filtering is applied in following step.\n", - "\n", - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hyper-space-io/QuickStart/blob/master/DataSets/arXiv/arXiv_semantic_search.ipynb)\n", - "\n", - "\n", - "![image.png](data:image/png;base64,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)\n", - "\n", - "\n", - "## Pre Filtering and ANN Recall Reduction\n", - "An inherent consequence of the pre-filtering approach is the dilution of the vector space prior to the KNN. While this effect does not alter the results of brute-force KNN, ANN approaches like IVF and HNSW may experience a reduction in recall. To better understand this result, consider scenarios in which nearby neighbors are irrelevant to the search, but their neighbors are. In such cases, the ANN method may fail to identify these relevant neighbors, as illustrated below.\n", - "\n", - "![SparseGraph.PNG](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABMgAAAJWCAYAAACtcrsGAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAFiUAABYlAUlSJPAAAP+lSURBVHhe7J0Hd9TI0/Xfj/l/FhZYlgWWXWDJOeecc84552hyTsY45xzGOUf69W23zDC0PZJGmpE093dOHRjZ1ii2StVVt/6fIIQQQgghhBBCCCEkiWGAjBBCCCGEEEIIIYQkNQyQEUIIIYQQQgghhJCkhgEyQgghhBBCCCGEEJLUMEBGCCGEEEIIIYQQQpIaBsgIIYQQQgghhBBCSFLDABkhhBBCCCGEEEIISWoYICOEEEIIIYQQQgghSQ0DZIQQQgghhBBCCCEkqWGAjBBCCCGEEEIIIYQkNQyQEUIIIYQQQgghhJCkhgEyQgghhBBCCCGEEJLUMEBGCCGEEEIIIYQQQpIaBsgIIYQQQgghhBBCSFLDABkhhBBCCCGEEEIISWoYICOEEEIIIYQQQgghSQ0DZIQQQgghhBBCCCEkqWGAjBBCCCGEEEIIIYQkNQyQEUIIIYQQQgghhJCkhgEyQgghhBBCCCGEEJLUMEBGCCGEEEIIIYQQQpIaBsgIIYQQQgghhBBCSFLDABkhhBBCCCGEEEIISWoYICOEEEIIIYQQQgghSQ0DZIQQQgghhBBCCCEkqWGAjBBCCCGEEEIIIYQkNQyQEUIIIYQQQgghhJCkhgEyQgghhBBCCCGEEJLUMEBGCCGEEEIIIYQQQpIaBsgIIYQQQgghhBBCSFLDABkhhBBCCCGEEEIISWoYICOEEEIIIYQQQgghSQ0DZIQQQgghhBBCCCEkqWGAjBBCCCGEEEIIIYQkNQyQEUIIIYQQQgghhJCkhgEyQgghhBBCCCGEEJLUMEBGCCGEEEIIIYQQQpIaBsgIIYQQQgghhBBCSFLDABkhhBBCCCGEEEIISWoYICOEEEIIIYQQQgghSQ0DZIQQQgghhBBCCCEkqWGAjBBCCCGEEEIIIYQkNQyQkaSnr++7aG/rFpWlzeLz21Lx8GaOOH/si7h06qt496JElBY1iq7OXvXbhBBCCCEkmcnLrhX3rmeJE/s/iL2bX4nj+z6IlLt5origXv0GIYQQP8IAGUlq6kNtIj+zVlw49kWsmvdwSNu+5rl4+aRQ/RUhhBBCCEk2CnPrxJHd77W+omH7trwWH9+Uqb8ghBDiJxggI0lLSX6D+PiyVGxd+Uzr4Ohs/9Y3oqmxQ62BEEIIIYQkA29fFGt9w6EMPmN5SZP6a0IIIX6AATKSlBRk1Yqv7yu0Do0ZY8klIYQQQkhy8P5VidYfjGablj8RzU2dai2EEEK8DgNkJOlorGsX2V+rxa4NL7XOjBm7fCZNrY0QQgghhASV8tImrS9o1q6d+6bWRAghxOswQEaSCojxIzgGEX6dE2PFqC9BCCGEEBJszjngM7LUkhBC/AEDZCSpqCprFh9f2kuTj7T9296otRJCCCGEkKARqm7V+oBW7dblDLVGQgghXoYBMpJUFOXWice3crTOix1ra+1WayaEEEIIIUHinUOTqjBCCCHehwEykjR8/y5Edlq1uHLyq9ZxsWMFuXVq7YQQQgghJEgg80vn/9mxspJGtVZCCCFehQEykjR0tA/ojx3Z+VbruNix18+K1NoJIYQQQkiQcEKz1rBPb6ldSwghXocBMpI09Pb0yQDZmUOftY6LHUtPrVJrJ4QQQgghQQJdy3X+nx378qFCrZUQQohXYYCMJBUFWbXi3tUsreNix2pr2tSa40dPd6/o6eoT3V29smyUEEIIIYQ4T8q9PK3/Z8eK8uvVWuMLJojhMxJCCIkOA2QkqagobhSvUgq1jotV27rqmVqru/T1fRd1NW2iMLtWZsBFGhoP1IfaRE+/A0QIIYQQQpwhL6tW6wNatTULHsXVT2tr6RIVJU0iLyP0k89YWtAgGmrbRW8vfUZCCNHBABlJKkJVLSLjU6XYsvKp1oGxYuePf1FrdY+GunaRn/6zczOc1VS0yIAaIYQQQgiJne1rn2v9QCt29dw3tTZ3QbZYeXGj1keMtFBli/jOUgRCCPkJBshI0lGYUyfuXc3UOjBWzO1uRKHKVq1DE83yM0OipalTrYUQQgghhNjl7YtirR9oxSrKmtTa3KOzo0dKieh8w6GsILNWZpsRQggZgAEyknS0tw10szx76JPWiTFjTx/kq7W5Q111m8hJ0zszZgwp9b29nBUkhBBCCImVczF0s3z+qECtxT1QPWA1OGYY/o6ZZIQQMgADZCQpQaklnIKju99rnZnh7OLJr2ot7mAE8GK16vJmtUZCCCGEEGKXzs5ecWyPdZ/x7rUstQZ3qSpr1vqCZi1U1arWRAghyQ0DZCRpQUefssJG8fRenti8PLom2fY1z0V+Tq36a/coKzKnHWHGurvZtYgQQgghJFb6er+L6+e/aX1Enb16UqT+0l1QWqnzAa0a9o8QQpIdBshI0oNsstzMkLh0IlUc2PparF+cMujcbFiSIk7s+yAe3soRrXHQaEBAS+e02LXaam/PCEL3Ah043z4rFjfPp4ujuz/IBgrbVj0T5499ES+fFMYlKEkIIYQQYobcrJBs1LR6/q9Bsc0rnoo7VzNFKI7+F7K/dD6gVYM/5nXa27tF2udK8fhurjh16JPYuOyJ2LfltbhxMV1qxRXk1qnfJIQQezBARkgYb968FUuXLhP5uRWitib+waXmhk6t02LXivPq1Zq9R2Vps/j4slQGJSMdzEi7fPqr6OpkNhwhhBBCvAG0XivLmkV+Tp0ozK3r9xsTE2Aq6ff1dD6gVSstaFBr9CYIjO3Z+ErrJ4bbjQvp6i8IIcQ6DJAREkZdXZ34v//7P/Hy5Uu1JL4g40vntMRifb19au3eABprOd9qxK2LGVrHZjj7+KZMrYUQQgghhOSk1Wj9PzvmVa6eM1/aCkMFiNvd5gkhwYQBMkIimDlzpjh06JD6FF9Clc4HyDrae9TavQG26eWjAq1DY8bqa9vVmgghhBBCkptIvy8Wgz6v1/jwulTrD5oxdPckhBArMEBGSAQIjiFIlgjqVAZZTprecbFjXipNrKlsEZ9fl2mdGLN28sBHtTbvAm218qJGkZ8ZUueyRuT0n4uc/n8Lc2plILS9tVv9NiGEEEKIPZCVr/P/7Fhvj7eqDqr7/UadL2jWbl/JVGvyPtCAQ7lsYXadyM+A/1gjSvLrRV1NG31GQuIIA2SERIDySpRZotwy3jQ3dmgdFruGh6tXaKof2LfDO95pnRgr9v5VqVqrt8DMa3VZs+kAZ1lhg+jp9pYzSgghhBD/gCCKzsewannp3vEZDc4c/qz1A63Yp7felufApGppfoP2nIQbJl7ZaZQQ92GAjJAIEqlDhpk7PASRbRT5YLRjeJh6hYriRvH2aZHWebFq+7e+UWv1Duhympce0p6H4awwu1Z0tHFmkBBCCCHWcUq/trKkSa3RG1RVNGt9QKvmRZ/RwKgcMWsIpPV0s2kVIW7CABkhGhKpQwYHRfdQtGPNDR1qrYkHgaB7VzO1zosda2nuUmtOPMgcQzml7hyYMWSctXpofwghhBDiD7q7e7W+hVXzmh+S+qFc6//ZMS/5jAYNte3a8xDNinLqGCQjxEUYICNEQyJ1yKAZpnsgWjWU73kFpIRjm84f/aJ1XOxYbmZIrT2xfP8uRFlB9NT4aOal80UIIYQQ/1BT0aL1LcxaebH3Oj4+uJmj9f/smFd8RoOmhtgkVarLm9WaCCFOwwAZIRoSqUMGCvPK1EPQnvBqXkbIU52IoK+A7dq/9bXWcbFjTx/kq7UnFmMGMCtVfy6sGHTaCCGEEEKsYleLrCCr1nPi/ABNmXT+nx3zis9ogGOuOxdWjJUHhLgDA2SEaEikDhnYsWOHWL9uk/aBGM1S3xd5TtOqt3dAW+3C8VSt42LH8rJr1doTC3TeIs+BXSvOrVdrJYQQQggxD7L1Sy1mtCNQ09XRo9bgLR7dydX6f3bMKz4jgI+uOxdWDQFRQojzMEBGyBCgxPLw4cPqU/zIz8+XwbkHDx7I2SFoDegejDrLSC0Sf42bIB4/fqzW5h2wH49uOJcu39TojWyrXNle3bkW60HpUNRY1y5LAFB+Cn22/MxaUVvVKtrZkIAQQghxDbPllpWlTXIC06tkpFZp/T875hWfEdRVt2nPhx1jV0tCnIcBMkKGADpks2bNUp/iB7LHpk2bpj4N0NLYKTOV8mQwBg/FqoF/02rk7B+coY72gcDDrl27xKRJk0RXl7dSr+GIvX9erHVcrNqu9YnJ7IvEKB110rxUGmsHBMaKc4cP6hbn1bM0gBBCCHEJ6NliUiryeYzJynCf0cvUVLVofUCr5hWf0QCdKMPPSSzmd5+REC/CABkhQ2DokNXXxy+FOTx7zC41NTVi5MiR4sSJE2qJN0DgBA9zJ3TIHt3OVWtNLJ0dPcpJUQFLB6yz3ZulDtHo7f0eNTAWaXU1reqvCSGEEEJ+5tjeD1o/0Io9vpun1uYNnJTm8KvPSIiXYYCMkCEwdMhevXqllriPLnvMDlevXpXbjoCbl0CnxnfPYssi27s5fucjGpi50zkssdiObXvE6dOnxZcvXzyXBTgcOLe6/YlmFSVNag2EEEIIIT+AdpjOFzRr54+nqjV5h6qyJq0/ZMdQyUAIcRYGyAgZBuiQodQyHjiRPRbOnDlzxNq1a9Un7/DpTb64fy1L68iYserKFrWmxNPX913rsNi1zNRKWSL7zz//yGsBtmzZMnHhwgWRnp4uvn/3ptZErO3lWW5JCCGEEB33rtv3GZHp7zVq+v1YnS9k1XLTQ2qNhBAnYYCMkGE4ePBg3HTInMoeM/jw4YMMsDx9+lQtSSwZGRliyZIlYs/uvfLBfudyptaZGc5ePytSa/MO6DwZ6bTYtcqwbKqSkhJx7949sXXrVjF+/Hh5LkeNGiXWrFkjrl27JnJyctRvJhak9+v2xYqh3IAQQgghRMftK9Z9xlKP+haN9R1aX8iqhfuMhBDnYICMkGF48eKFDEy4rUPmdPaYwfbt28XkyZNFT0/iZtA6OjrE0aNH5f4tXrxYZUIhxbxZllvu2vBS69iE2871L0R+jndadIfT5JCjA2usG7rLEq6RGzduiPXr14s//vhDHs8///xTbNy4Udy+fVsUFSUmeFgfcqYbE7PICCGEEDIUWd9qtD5ipJ088FE2KfAyJQ4I9Q/nMxJC7MMAGSHDEC8dMqezxwyqqqrk9kPTKhE8efJE/P333zLz6ebNm2rpD0JVLaIwp05cOpEqDmx9LdYvThl0cDYsfSJOH/wkHt3JFa0e11j4ob9lX6y/tKBBBg7NkpWVJS5fvixWrVolRowYIc8zjjWCogi0lpeXq990F6fEZqvLm9UaCSGEEEJ+paKsWWaTHd71TqxZ8GjQZ8RE6qVTX8XTB97S3h2K5sZOrS9k1qz6jIQQ8zBARkgU3NYhM7LHHj58qJY4C4IoWH88M4xQHrhhwwb5vTt37hShUHSdhJ7uXtl2PFTdKupr29VS79PZ2Sn27zsoThy9KM6dvqF1ZKJZQVZtTK26e3t7xdevX8W5c+dkGSuOO2zKlCli7969MlCJ7qZukJteo90nq4YgIyGEEEKIGaADW1HWJFp8mIGOzP/bNx5p/aFoFqvPSAgZHgbICImC2zpkbmWPhYMgH0rz4gEE5RGcmTFjhnj79q1aGlyOHz8uM7jGj58g1q/drHVmhrN3z7NEfZ2z2VMoa/348aM4ceKEmD9//mDADOcEwV5kRDY0OBOQgkisbr+sGhw+QgghhJAgA/8LUhmHDx8WoapWrU80lL17kS0a6rzTrIqQIMIAGSFRcFOHzO3sMQMEqvA9L1++VEuc5/379zKQiO9BJlMykJubK/cXWVu///67qKysEmUWSg4vnLklRv0+SmbZuUlTU5N48+aNdMYQLMU2w+bOnSsDfGjo0NbWpn7bGghs6fbNjhFCCCGEBJl9+/aJv/76S7S2tsrPjXXtWp8o0ipLm2RgDdlnhBD3YICMkCjU1tbKYIIbOmTxyB4zQDfEqVOniu8OixZAp2337t3yGK1bt04UFhaqnwQf6H9Nnz5d7jsE9A3aWrpEdVmzKMgcyK7KUc5NzrcakZcRktoRVy7dlBldhn7YrVu31F+7D0penz17Jp00XBP4fhiaKJw5c0akpqaK7u5u9dvDU5Rb95MDZ9dYYkkIIYSQIAM5DPhbkU25UDKJQFlFcaPIS68Ruf3+IiYgi3LqpH+ERkZdXV3yb58/f67+ihDiBgyQEWICZN0g+8ZJ4pU9ZgDRdnzf2bNn1ZLYwSzW6NGjxcSJE0VKSopamhw8evRIHk9kYaGM0SoIji5btkyuA+Wv+Hf//v3qp/GloqJC7g+2adKkSXJbfvvtN7FixQpx6dIlkZGRoX7zV340KIjNGnykO0cIIYQQYpUFCxZI38oOxoT9ly9f1BJCiBswQEaICaBDNnv2bPXJGeKZPWZg6INBRD8WMjMzxdKlS+W6EDi0W57nV7C/EyZMGBTEt+OsrF69Wmbc4e/T0tKkkD7+j3UiYJVIiouLxZ07d8TmzZvFuHHj5HYhELp27Vpx/fp1kZeXp35TyFlNXcDLqnV29Kg1EkIIIYQEC3Rzhz+VnZ2tllgDFRr4e0ywE0LcgwEyQkxg6JA5JWxeUFAg1xev7LFwUBK4adMm9cka6Nh47Ngxue0ox/v27Zv6SXJx9OhRMWrUKDF+/HixZ88etdQa8+bNE1u2bJHH0ugwmpOTI7MVEZSCpptXgNYaAmMI6CFQhm2GfgYCaAikfXyXoQ16mbXqCgrOEkIIISSYIPsLfiP8R7sY5ZludSUnhAzAABkhJnBahywR2WMG2Afsy+vXr9USc0Cz6p9//hEjR478SW8r2cjKypLHD5leY8aMkRpsdvj333/ldYB1ha+jvb1dBp6w/MqVK2qpt0DJ5cWLF2WZAEoxsa0fX+dpg1/RDE0NCCGEEEKCCiZTUXkAH88uaLQFfwudygkh7sEAGSEmcUqHLJHZYwbIIEMmmRlQjrlhwwa5zQjoJPvMFYJCENfH8YilkxAysXbt2iXXoxPEP3/+vPwZfqe3t1ct9R49PT1S1L+jvVuU5NVrg2BDGcRne3udbRpBCCGEEOIVIMMBfw5ar7Fw9+5d2TGdEOIuDJARYhKndMgSmT1mgKAXHtbIAhoO/By/h2Da27dv1dLkBV2HcDzmzJkjFi1apJZaBzOIWM/OnTtly+6hwGwhUvLRBMAow/Qy6JCK7p26YFi4oTtTqLJV9HT3qb8khBBCCAke8OHQ9TxWoCOMRkqEEHdhgIwQkzihQ+aF7DEDdLPEtqC7ZSQfP36UwUD83Mmul36mpaVF6m4ZwvwQ1rdLdXW1XMf27dvFlClT1FI9CIxBrwwZZ06V+LpNW2uX1BVL+1gkPr8tGAyKIWOsqqxZdHV6NyMOIKstVNUit7U0v0HkZ4REfmatqK1qFe1tv2b7EUIIIYREAv1W+HvQmI0VVLGgczohxF0YICPEJE7okHkhe8ygr69PTJ06VWzdulUtEaK+vl7s3r1H7ufypSvF6+eporyoUQYGEPRIZuCYINsLAvr79+9XS+2BLpA4xtAaQ8vvaKCMEdlm+BvMIPoBBPZQlrxy5SrR3eXtgJjB9+/990CoTRRk1f6S9RZuxXn1oq0lue8HQgghhAwNJEmg23v8+HG1JDa2bdvmSCYaIWR4GCAjxAKx6JB5KXvMwMiKe/fundTTQpbSuD//EmdOXNMGBhA4QAAh2YAoPY7T0qVLZZAs1m6mnz9/lutbu3atNLNAtB9/h6BmLEKvboMMxLFjx8qygoqKCrXU2yCIV5Rbp73udZaTViMa6717DgghhBCSOKAh+/fff8sO8E6wcuVKWXlACHEXBsgIscCBAwfErFmz1CdreCl7LBwI8CMwhsDLpvU7Rer7Im1AINxy02tEa5MzD3w/sGzZMhkcxTG6c+eOWmqf58+fy3WhXBMOlBUQzPzzzz/ldYhMNK9h6LRt3LhRdHX5I8sKJZVWGwwYhlJMQgghhBADTBTCF0pJSVFLYgf6t0eOHFGfCCFuwQAZISZob+0WdTVt4taNB+LBvWeirrpVdLb3qJ9Gx4vZYwa5Ofni7Mmr4s7159oAwHDW2hz8MrN79+7JcwdNNgS0nADZemPGjJFBNzup99CNQ5MAbNeTJ0/U0sRz7tw5uU1+cuDQWABlxLrr24xBW83rmmqEEEIIiR/QClu9erX65AwQ6I/WXIsQEjsMkBEyDE31HaIwe2g9osLsOlMlh9CP8mL2GCgtaNDumxnLywiptQSTpqYmma1lCPOnp6ern8QGAkmTJ08WEyZMkGWTdtm3b5/crtOnT6sliWPPngHtumvXrqkl/qChtl17bVuxqtImtTZCCCGEJDOGHIbTWf6///67nLQlhLgLA2SEDEFFSZP2ZVhnyCJpadSXHHo5ewwBQN3+WDFk1gUVlNRCSwt28OBBtTR2sC7oc/32228xXxc3btyQ1xdKZZubm9XS+NHY2ChFY7EN0LTzG1bu8+EsGbIpCSGEEDI0VVVV0rc7efKkWuIM0J2Fn+WXbuaE+BkGyAjRUFZoL6sKAadIvJw9Zld3Kdwg3B9Evn37Jp0RZI8hi8zJ4NOWLVvEihUr5Prfvn2rltoHov/IRvvvv/9EZmamWuo+CP5Onz5dpv2jkYEfyc8Iaa9rqxaqpBYZIYQQksxARP/ff/8V3d3daokzVFdXS58xLS1NLSGEuAUDZIREUFPRon0BNmu9PX1qTd7OHuvp7tNuvx1raw1e9szixYulED7On9Mp7cuXL5cZX1i3U4ElOE9G0C0e19uHDx9kc4eFCxfKGVM/Ah1B3fVsx1hmSQghhCQv79+/lz7Y06dP1RLnQLkm1l1UVKSWEELcggEyQsJob+vWvvxaMQTYDLycPYaSMN3227Haqla11mCATpVwRCCijw6WToPA29atW+V3lJaWqqXOcOjQIbneo0ePqiXOYzQu2Lx5s+OzpPHEyQAZhP4JIYQQkpygmdO6devUJ2dBpQD8rrq6OrWEEOIWDJAREkZlaex6RDnfasT3797OHgONdbGLkxsWpOAANLWgOWYI87tRsjhx4kSxY8cOuX58n9MYASx0UHLamTpz5oxct5sBuHjR3dWrvZ7tWGl+g1orIYQQQpKJy5cvS98Ivr8bPHv2TK7fz5OShPgFBsgICQNi+7qXX6vW1NDh6ewx4IRAv2FlAQqQoTPkuHHjZPng4cOH1VJnGTFihNi1a5d0dvr6fpTkOgl0KqCD8c8//4ivX7+qpbGBaxrbfPPmTbXE3/T2ftdez3bMTDdbQgghhASLiooK6RthAtEtbt26JSdvCSHuwwAZIYquTueySd6/SZMPS69mj4H21tjLSQ0LLyv1Mwgk4bwhe2z8+PGitdX50tGWlhb5HQiQ/fXXX2qpOzQ0NIi1a9fK70PZqF3q6+ulbho6MwWpgxIyPfMznRHp72jvUWslhBBCSLIAyYwpU6aI3t5etcR5zp49K6ZOnao+EULchAEyQhRO6I8Ztm7NZk9nj4Hv37+LnDT99lu15oZfu3f6EQjOz5kzRwaUHjx4oJY6izHTiE5H6AAZD06cOCG/8+DBg2qJeSAMi+6YyEbLyspSS4NDXU2r9pq2YoXZwezkSgghhJChQSdy+FcvXrxQS9zhwIED0kclhLgPA2SEKDocDJDJrJTsbLVm71JZErvmGspSEWzzO0hfh5MzY8YM2Q3SLXBd4Hs2bdokM9XixePHj+X3oulAZWWlWjo87969E6NGjZIdPWtqatTSYNHX910U5dRpr22zBj0/QgghhCQX8BnRldxt0BTJrQYAhJCfYYCMEEVPd5/25deOFefVq7V6Gyey5kKV/i+vhJA9NMcMYX43g5sfPnyQ3wEB/Y0bN6ql7oIAZldnj0j9/E38N3Wa+Pjhq7zeh8Po5InSATfLBhIJ2qWfPn1aLFm8THttm7GgdXAlhBBCSHQuXrwo/aTi4mK1xD0wubl79271iRDiJgyQERKGU3pEftLkQoBLtw9mrCg38e2m+3q/y+w/ZPE01LaLlqbOqMGfSPbu3Sv1wJAt5XZ3xpSUFOlQLVq0SDYEcJPenj4Rqmrpv65rB89Z6rvCwf8jkFtT0Sy1uMI5efKk3EaUZgaNtrY2WT5rBEOhNXfs2DFRXhoSeenW7n90vSWEEEKIv+js6BGtzZ3SrPqMoKysTPoQ0AaLBzNnzgykT0aIF2GAjJAwqsubtS/CVg0C+H4CL/q6/RjOoLuErKREAd0zBHh02wZDUChU2SqbLwzH58+fpZODMsKJEyeK9nZ3y+WuX78uu2RCow7ZS24RGRgbzkoLGmRHR2SaQRsNx+P27dtqTcEA5xldONFoAPuH7L3IhgO4VsoKG7THKNwKs+tkMJYQQggh/qC7q7ffz28Reem/dqyH1AIywvE7ZkDJI/RZ4yUxMmHCBHH16lX1iRDiJgyQERIGHoyRD02rVlbYqNbmL6xkkiGg0t2dmLI7BDHw/dlfq37ZrqEMGX3QmtIxf/58MXfuXBk0efTokVrqHqdOnZLBMQTJbty4oZY6i51AL4KNy5ctFyNHjhRv3rxRa/I3mOE9d+6c7PyE84sGDNeuXRO1tcOL6iMLsaK48acmFnCoi3P7Hejq1iGvJUIIIYR4D0xqhfs8w1k06ZDXr19LnyKeXb0xuRcPH5UQwgAZIb9QV9OmfWCata6OxGVVxQpKFcuLGwf35eOr3J/2DQGCRAqSIyXebhlsQVat6Gz/+dwgQAUnByKrq1atUkvdBeWcKK/E9z558kQtdQ4rTmCkZX4tFjk5OWpN/qSrq0s2JECjBRzjsWPHikOHDtnuwAmdvp4e6+UXhBBCCEk8oSrr3aoLc+qGzCbDJCcaLcWL5uZm6c+gcRIhxH0YICNxAeVbTQ0dorKsSRTn1ouSvHpRWtgg6mpaRUe798oRkYKte2AOZxvWbRPr1q4XTU3+1yVChsyli1fE6NFjxJtXH2zpejkNtMYKsmtFdlhWj1XDtWcQCoXE77//PqhFFa/AELodQaAf3/nx40e11Blam7u0+23FULrqR9LS0sSePXvkOcWxRben58+fB6LDKiGEJCMd7T2iPtQms6KryppFQ23bLxNdhAxHLJOG5UW/VoScP39e+hilpaVqifuUl5fL78zMzFRLCCFuwgAZcRWIhFf3OzWyHG6YwEZBVkg6QV56l4UWgW5bdXbhzE358ELZHLSsWlv929nu7du3Yvbs2XJ/IFjvlX2BcyyPd+qvx9+KNagMOHQDgqYDSgrjKXyK6wMzjzi+Tgfl7MySRhqC1/ECGYEoZagoaZIlnrnpNbLxAxxaMzoglZWVsovU9OnT5fGEiO3ly5dFdXW1+g1CCCF+o6WxU2as655RMGT3UAeSRKOnu/cnqQQ7Fj5pWFJSIn0NBMniCTLg8b2QjSCEuA8DZMQ10BkmPyNkOaDR3NCp1pB4IksOIy2vf//Sv+aJMWPGyNK5goICGXRBVpLbYu9OU1hYOBi4QZZTfn6++kni+aENZ153bChDcwFkbmE/Ueo4adIk0dkZv2sOqfmGED4CPE6C4JZun60aMtHcBOezprJF5Hz7VSg33DB7Gxko6+3tFU+fPhVr1qyRx3D06NGyG+i3b9/UbxBCCPErVjQ0IZ2ADHdCdEB/VnfdWLHwSUP4yJiQizfv37+X/k4QKlQI8QMMkBFXQHBM96Axa9AB8xK9vX0yaIAZS2wbdLigTQRQLoeghxFkyc3NFX/99ZdYvnx5XAMvdkEg7/jx4/LhiwwciI96jXqlC5cVY/aYYdu27BLz5s2T+5ySkqK+JT4gy3DXrl3yu53MzkMJqm5f7ZibM/O4jxBY1n2vzgoyB16AMjIyxIEDB8Qff/whj93KlSvluevpYbkNIYQEAWQT654D0ayxzp/SAMRdCmxq1kYapGBevHghfY9ENDGCriq+m5IRhMQHBsiI40CrKi899odSV6f3X3xR3oWH1tevX9WSAZAO/eeff0rhdy+/wN+7d0+MHz9ejBo1ytPto8uKrHWtjGZHDpyRs4DIQoonyH7C9YIA2YgRI9RSZ2hv7dbuqx3DrKsbYBtzbY4Ne3YfkIHoCxcuiIqKCrVGQgghQaCuOrYGSWbK8kny8KPyIHaDFAS6YW/ZskWtPb6g+zYm3gkh8YEBMuI4laWYAUQwY/jyqWhWWeLtVGKIgiPYgSCZDohpovQSGWZem/X5/PnzYCfF/fv3i7q6OvUTb1KYXSeyNNeIXdu945Dc97y8PPUN8aGhoUF+786dO8XEiRPVUmfo6nTOGXzzIlUcOXJEthRHRmR3d+yNNKA3hnIY3feZsbcvMqSmYZBANh3KiVDCge6sRTl1oqp//GxuZDYEISR56O7q0477Vgx6t4QYtDk4abh/zxHpu0EsPxGcPHkyIaWdhCQrDJARR+npf4HVPVzsmldnBLu6uuTDChliwwFdJHTVQ0c9L4DMmx07dsgH/YoVK3zTEQcBMt31Yde+vC8Qp06dUmuPH4bA69atW8WsWbPUUmdA5qZuX+3Y1cu35fZhWw3DZwT2rl+/Lr58+SKDfVaoKjWvKzOUharcyWyLN20tXbIpgW4fDUMZam11q6calxBCiBuEKmNvMAODD0oIcKKrt2Gp7/OGnAyPB+jQDW1jQkh8YICMOAq0uXQPF7vmNS0yA4iCoyzRTKlXamqq7JS4ceNGtST+oLTPaE09efJk8eTJE/UTfyDF59Niy0gMN2TqJIL09HR5DtAEARp1ToJAim5f7ZgheozMMWSQPXz4UGaULV26dFADDIYGBwj+njlzRrx8+XLYDkuxZI8Zlp9Z6/ssMnTr1e3bUIZAGUWoCSFBBs1zdOOfVTO6VBPS0d6jvUbsWGmBtQlBp1m/fn1C3yEISTYYICOOghR33cPFriX6oaQDwuAIDlgRd0fGDf5m8+bNakn8QDDs33//ld+PIBmCZX4DZWhZqc5pkCWqfBfirjgPyN5zQ8uiyoH7LyetJmoQCoFh7AuuJwT7EHTFfsHQVXLx4sVSUP/+/fsiOzu7/6XFuXHBz8GiWCYQ4OwTQkjQQBMk3ZhnxyqKG9VaSbIDaRPdNWLH3NJlNQskUTAxTwiJDwyQEUcpK2rUPlzsWu63GrVmb4DAAAIAdh5UHz9+lAEElNfFA5RPIhCD70RZpZ+FzREUwfWQ5ZBQf3NDYjSeHjx4IH777Tcxf/58cfDgQbXUOZyYMS3vv4ftgPbjKCm+deuW2L17t5g7d67cV1x/+/Yc1H6XHUvUuYuVWM9Naf6PVvOEEBIUnNTPhJYjIQZlhc68k0AWIZH8999/4vTp0+oTIcRtGCAjjlJW6Gy3QZiXgOYYtMegQWaHd+/eDQas3AKC+wjg4Xsw6wRB/iCAssisVP01YsVQ6pcoLl++LCZMmCAzrs6dO6eWOkssWWQ4xk6WMCJbsbCwULx/80X7fXasodafJTQIPOr2x4qx1JIQEjTQsVw33tkxdFAnxMCYXI3FEiXJEQ664t+4cUN9IoS4DQNkxFFQCpedpn/I2DEvzQZCoBNBJ3SvjAWjzA5ZNk5z9epV2RRg/Pjx4t69e2ppMGhpVI5OjEGypgRmIB07dkzMnDlTdje9ffu2WjoABGUry1pE6ocK8fZZiXjxqFA8uZ8vKix25sJsPEqTdfs+nCFb060yPie7SflRqN+pDAlMQBBCSJDo63WuFK4o19sduUn8iXVyqrU5sRNTmGjEO4NOO7iy/50rp/896eunCvH+Val4+sC6z0gI+RUGyIijNNV3aB8wds0rehJfv36VDyinuti8evVKrg+daZzg9evXMvCCdR4/fly0twdTqDZU1RpTgCzROhLoAolORDhPz58/l8tQMpj9tUZcPvVVbF7+VKya9/AX27bqmbh5KUOUWih/DFW2/LL/QxlmSN3MTkI3Wt332rFOH2pxNdY5Ny7iZZIQQoJEce7wXX3NGiZpCQkHHb7tNgmq7fc5Ew06hsNnhEyLQX1tu3hwM1usWfBI6zPuWPvcss9ICPkBA2TEUZycCYR5QW+os7NTllWivNJJECDBQ2///v1qiXXy8/NldxusZ9OmTbKcLegggygnrVrkfLXW1RJt5BPNmjVrxNq1a+X5+vDhk8wIGi4wFmnrF6fIWUKzIFsOs6fIDtMdEziN9TVt4nufu0EXdNhENqhuG6yYX/VlEJjV7Y8dQ6YhIYQECQQidOOdVUu0VhTxJpiksxqE9UJwDJSUlEifMScnR35GltjmFe74jISQARggI46Dl8EBMXVrAYxIK8z2Rqr83r17pTC/GyL3T58+lQ++Q4cOqSXmaG1tleV6+NvZs2eLt2/fqp8kBwgSFOf1OzsmynmRHdXc6A1hd4jzo5Mpztvr51/E07t5Wqcmmp058kat0RwIUOGY1Va3iobaNpnpibIBJ/XGolFXE/sLEPTV/EhVqXNdPOv6zyEhhAQJPIsw8aUb88xaSb9PQMhQwA8yM1nldka9VdLT06XPWFlZKdI+VWp9wmh261KGWhshxAwMkBHH6ev7PpDOHKNWlBcyJVJSUuSDSVf77xSPHj6W3/Hu7UfR0d4dNZvnzp07Yty4cVLH6vr162ppcoLZ4oriBnHh7E2Rm14jLa/fCrNrRXW/I+S12WSI82/fvn3gmrr3VWxd+UzrzJixsyceq7X6A4wLcDx197oZy8sIuaaR5jaxNE6ItLqaNrVWQggJDpi80Y15Zq29tVutKQnodxOhbdnZ0SMDP8Q8PT198lqDhAuCqsW5dVK3FcEzL2ZoG7rFmd/KhiypNGOf3papNRJCosEAGXGF9rZuWdaVo3FizJgXOtWVl5eLUaNGxVQCORRwaqr7X5rRcQnZdlmplT/tf2FWrXwRhnaCwadPn2QGEh6UBw8eFI2N1BaANhzKX3GeHj16pJZ6FwQ1N23cOnAOt7/QOjFmbeGMs+LEiRNqzf6gsa79p+vcijU3+reDI+5l3T7ZMS+UnRNCiBvYLUdvrE+OcRH7qWvCg4z6+lBbXLPCSXx48OCBGDlypNiz6ZXWFzRrh3YmV6UJIbHAABlxDYhpI2MkK+JBHs3wEu0FoDmG4Et3t7OzkoPi6akoQ/11/yOtIKdS7Ny5SwZVsE3Z2dlqTcnN2bNn5TGBrpcb5a9O09XVJbd3/bot4vffR2kdGKs26a+lUtMMIq5+AQ6+7jofzuD4+5mONue6eEJLhRBCggqkAHRjn84wEevnyROzIHtaykpojkGkwcf8zrSywHD58mXx118TtD6gVWMWGSHmYICMuA6cnfyM4QW6c9JqZBmSV17+Lly4IIMZaWlpaokzIKVbt//R7NObfPHm1Y8ONskMGhEsXbpUnp8rV66opd6ntrZWbvPqFRvEn2OdcXb2bH4q/vnnH1m66fS16iZtrd1SY1B3rYcbZsq9pAUSC7GUlxpWVsisUUJI8EG5JJrY6MZBGAJj6FgZnmUfVFD2Z1WfDTITqOQg/gd6w39PnKr1Aa3a8X0f1FoJIcPBABmJG9CDqq9pF+9ffxOXzt0SB/cdE7du3Jdi4W530bNCamqqDGRcunRJLXEGlFTqHBmzBl23ZJ8VhP4azs3cuXNFZmamWuoPENjDti9fulaMGztF67xYtf1b34i6ujqxevVquW4cH7/Q2/tdzvwjMI5rGy88CKQjkFSa3yAa672RSeoUzQ2d2vvairFDGyEkmUAADGXlKFPft/eQePzwuSd1otwCchx2mxfgWUr8z86dO8XE8TO1PqBVg89ICIkOA2Qk7nz48EG+zKP74m+//SZyc3PVTxIPyuCmTZsmAw5O0tI48HJsV5PNsFBVi1pjcoEgkNH9EbNpfiVU2Sy+vC0Uaxff1zovVm3b6udqzQOzjDg+0KfzG4cPH3b8nvMiFSX2MkhhXmk5TwghiWDr1q3ijz/+ECUlJWpJ8CnT6I1ZMTZ1CQbrlzzQ+oBWLdxnJIQMDQNkJCHcvHlTvswjGAWdr5YWbwR+9uzZI0aPHi3bKTsJuuTonBerhiwbdANMJl68eCH++usvWUr47t07tdSfGPpbezbGJrZq2NqFP3eyRKMC3FfLli0TVVVVaqn3OXDggFi4cKH6FFzWrVsnrl25+8t9Hc1QSkQIIckMJjCRPT5v3jzR0+PPjsZWaG2KPesY3Z+J/zmy+73WB7RqkT4jIUQPA2QkYaA7JF7m//zzT7Fhwwa1NHE8fvxYbs/Tp0/VEmeAuKrOcbFrDR5pYuA2cICRDYVzsmPHDtHc7P8gAUoKcQ5P7P2gdV6sGpymSNDEAUFnBBXfv//1514EgeklS5aoT8Hk1KlT8lpGCXeoyrwINTMACCFkgKKiIjmJuX37drUkuMSScRxuKO8n/ubq2W9aH9Cq6XxGQsivMEBGEgoyXSZNmiRfHE+ePKmWxp/y8nIxatQosW/fPrXEOepD7Vqnxa5BuDboQHB+xowZsrU1WlwHBWin4BxePPFV67xYtacP8tWaf6a1tVVs2rRJ3ldXr15VS70LNDaWL1+uPgUPBN1xLpA5awBtmeryFpGf+WsDEzQwCFW2JoUANSGEWOH169dyPL148aJaEkx0zwY7VlHSpNZI/Mrju3laH9CqDeUzEkJ+hgEyklCqq6vF33//LWbOnCkdHpSIJYKVK1fKgIwbafsoj9I5LXYt51uNWnMwOX/+vLwWVq1aJcrKgteSuiSvXrx7VizWLnykdWCsWH5OrVqrnnPnzsljuWvXLtHb640OsTq2bdsmz3cQKSgoECNGjBB79+5VS36lp7tXZpp29ltvD4NihBAyHJcvX5bPNkgwBBE0rtL5f3aMZZb+p7qyRaxb9FjrB1qxaD4jIWQABshIwjG6Rs6ZM0f+m56ern4SH4yAzLdv39QSZ6ksdTZABgviSzRKJ5BRiHMB5zeooCMXzuHF46laB8as7d74UnR2Rg/o4gUC2ZHQbcEx9iJowLB27Vr1KTh0d3dLzZwFCxaoJYQQQpxg9+7dMss8Pz94WTHw8SL9vlgs2bRrg8ij27laX9Cs7d382pTPSAhhgCxwIAuhvrpVlObVi4LMkEzRLslrELX9yzrautVveY+7d+/KwAi0kyZPnizq6+vVT9zl69ev8nsvXbqkljhPTUWL1mGJxYLm7BjnH0HSjIwMtTS4oEz28+sysWnZE60jY8byss3PBCIwhgAZAmVenHGHBuHGjRvVp+AA7bwxY8YkVdc1Qoi/+N7vTmDiBr5KeVGjLMmD9mFHu3d9RvC9f8MXLVokZs2aJdrbA6bN2n9OdL6fXSP+p7H/Ht266pnWH4xm+Luykka1JkJINBggCwjQNkLpVlb/gzAn4sEYbgVZdaI+5E3R5yNHjsggyfjx48Xq1avVUvfo7OwU//33n+vf1VjnrAZZQVZwUqQbGhpk63acd5z/ZKG7u1eUFjSIZ/fyxaZlT7UOzXD28U2pWpN5UGKJUksca5Reeok1a9aILVu2qE/BANpvONYvX75USwghxFugYQi6Y+t8DVhhTp1oqPVu8An6sWj0hCzkoFHUf+x158SqFfe/G5BgkJMZEhstTqyuWfBI5PdfS4QQ8zBAFgBClSpDKe3XB+NQlpdeI4NqXgMvygiQ4cXy8OHDaqk7oHMesjsqKyvVEneA0LY87qm/ngc7Vl3m/26O4NWrV2LChAlSg+7NmzdqaXJR1X8uP7woEfu3vNE6NpF2aOdb8eltbLpsRuAGIv5tbd4IlkMDMEhdyT5+/OjJQCQhhICuzh5RlGs+AINgTVurNzPKPnz4IMfb06dPqyXBwKnqg1BVi1ojCQLFBQ1i5/oXWh8x0s4c/iyDaoQQazBA5nMGg2M2raXJW+2fkVGEEksI5sPhQemdGzx+/Fiu/8mTJ2qJu6BsAdl9unNg1do9XCprBmQyHTp0SB5/BEWampK7wxKc1/ysWnHu6BexbbU+ff7gjjcxB8bCef/+vfjrr79kSXN2drZamjigPYfstiBQU1Mjg/xBLBklhPif7q5emYmu8y+iWVuL9yZWAToEw6dISUlRS/wPmrbozoFVw/kmwaK6okVcv5Autq95rvUZj+x6J75+qlC/TQixCgNkPqapfkDsOxZDJpnXgAYVHB1DtB8i/k6Czoi///672L9/v1riPtCG0x1/q4aMIz+DRgjQC0FXvwcPHqilBDx98kyWirx7mSVePCoQ716UiPzsWtFQ5055S1VV1WBThER1jzVYvHix2Ldvn/rkb1asWCGmTZsmWlo4a08I8R4o79f5F2asONe75Xrw6fA8y8rKUkv8D3w+3XkwazWVfA4FndKiRvH0Qb5I/VAuivLrRWN9wPT4CEkADJD5FIiT5mfamwGMtPoa72mSPXz4UDo6M2fOlCV4yMpwCrzAYr3oMBdPoOMxcMyH1vsYzlAOATFdv3LhwgV5TnH8S0uta2gFFWjhGY79zp074x5YOXjwoPzuY8eOqSXxZ/78+XI7/I6ho5iZmamWEEKId2isi31i1cuaZJj0gbZsUDLT4fNZKYUNNwRCCSGEWIcBMp9iCL9nfa365aFo1bwq+n7y5En5sjlp0iTp9DjB+fPn5TqRyZQI0BlKdw6iWUl+vWz77SW6Ontl5ys0fUDZ51CdNdHBD0ExHPeLFy+qpf4A5ST1oXZZyiz302ENlk+fPompU6eK0aNHy7LfRHHnzh15ftCwoq4u/mKuyBb1e5MGI6h///59tYQQQrwFMsB0PoYV83IWGSZTMam6du1atcT/QMcWTbh052IoQ3AsaN3OCSEkXjBA5lPKChtEdpq9TCSdeVVXYsOGDbLsDC+esZZEolQT67l8+bJakhig+2alOxGEWr0CAmFlRY0iPyP0y3bm9F+PcOLC07vv3bsnfvvtNzF79myRnp6ulnobzNgiIJabrr+/sO8oW4DTGgunTp2S1+O6detkuWOiQdAY+n///POP42XN0UBG5/Hjx9Un/4GSHpxLaOsRQogXgRaV7plmxzravauFavh6icyKdgOzov3oTEoIIcQ+DJD5FLsCq0NZrUcfqCg3g5A4Uubh8Ny4cUP9xBodHR1SFwhdMr1Cc2OHKC9uFHkZNeLVkzTx4M4bce/WK5HzrUbO0CLbLNYgjJNATF537egs82ux2Lp1qzxnyAxCSbAfQKDYyr1l576BKP6CBQtiup7dAk0yMPOObbt9+7Za6j64N/3agQydQDFGOZXlSgghboDJOd1zzI55UZojHDR4wnMsaBm96D5aV90qM8Qe33snnj/+IvLSQ/LzgM9IQX5CCIkVBsh8CrJ1cjROi11DRpoX6ezoEamfM8WRQ6fE3j2HxIVzV0RrS5fl1PE9e/aIP/74Q1RWVqol3mHHjh3SkUOmFf5FBg+yabzQXdAAXTh1181wtnPbQfHyxSu1Bu/T2tyl3Y9oZuXeuXr1qjzHixYtEvn5+Wqp9zhx4oTczng1skDmGsqf/QICvnhRaW7sEmlfcsXunQdFSYH/O8wSQoLLDx3U2K2i2LsaX729fTIYuHfPAXHj2h058eWXSTqzfP78WUozcGKGEP/Q09Mn/cTmxk6ZdACpGuJNGCDzKQiQ6ZwWu+a1ABn0nvIyQyI7dWiNNQRtENSIBjr04WX/6dOnaok3gDg7yuuM4NiqVatkaQCCY9Bdw3KUniFwUFxcrP4q/kBnTHf8zVhxnne1SsJBph46uur2wYw1hIYXLUbnVOh74ZyePXtWLfU2aJeP7V2yZImoqHC3XTiu90uXLqlP3gU6gHBqMGOvuw5g+Vm1ora6VbboJ4QQr2Bo1zphyH73Gh39L57DTeZVlDR5Vk7ECi9evJDPZkiQ9PbyBZsQr4N31aHGJrwnISuUPqO3YIDMpxRm14kszY1m19BK2gtA18Jqxx6kliPTTAcCE7///rs4cOCAWuINIISOLCLMAMLRQTliJAiW7du3b1CDDWV5169fd7SjZzQgSq875lbM66UYoLLfcdZtuxUbKqvxwYMHYsSIEbIML97aXrGSm5srg7Tjxo0T7969U0udZ/z48TK7zgsgcJ2Xlydu3bol70vsP7JP586ZL9at2SJyTHahRRCN7dYJIV4B2fe6scqOeUkbFUDuQLedOsOLql8zN1AyCn9w9+7dagkhxAuEQiGZ2QnpFFQtLVy4UOzfd9B0BQ70jZH5SrwBA2Q+BQGtgZsq9i6WsKb6DrXmxIFgTO43+1k8uoEF3RPxgtvT453IfGlpqZgxY4YMOsDRMVPG9ubNG7F9+/bBMsyVK1fKwIvbrczRPVN3rK0a0oq9CkrldNts1dDtMhzoeW3btk2eL4i3e+katEJ7e7vYsmWL3A+3GlwgCHzz5k31KT709fXJzExkmO7atUt20jSC0eGG4OaECRPF0sWrxOEDZ7Tnfjjz2oskISQ5QemhboyyYygR8gpmxesjDQFDP2FINASt+QAhfqKxsVE2tYLO4cGDB8XSpUsH3+dgY8aMkcGxXbt2i6MHz2rHnuEMFVQk8TBA5lPs6iUNZXCcEklv7/eYGw/kZYRkB0IDlCZisPJS90ToiqEFOQzbhk6GVkCzgSdPngyWZsI2btwonj9/Lrq7ndU/gmZHTpr+WFs1M6WwicIpXRZkPhq8evVKTJgwQRr+HwQuXLggrzdo5jl9rSGT8s6dO+qT86BE9OXLl9KZgePy119/Dd4/4YZMNvwcv4ffx985cX2gLJMQQhKN2WyG4Sw3Hb6WNzS98DKp20Yzlp8ZUmvxPkbXazyHCSHugwZMeGfDJCqC0pDBMd7dYJg8nTt3rti5c6cMXn/48GGwIz3eaa1WQ4Wbl9+ZkgUGyHxMaX6D9sayal7IcBjMiEv9dfusmNHe+suXL3IAcyvjxQ6fPn0So0aNkiL82LYrV66on9gDGUqYwYBIK9aHdWOgfv/+vfqN2ICQpO4Y2zHU13uVytLYyysN62jvksEVnA9kj2GmKUgg2IfZMTgFhYWFaql18PDHuFOUUycD25mfK/qPX5UsSwxVttoWu0f5MUpBjx49KrXTEKA0si7DDbN92AekwT9+/FiUlJRoX/icmojIz6yV+mWEEJJIoMGlG6OsmFe6nqNjY6x6vHU13vVNDCARgucWyv4JSVYQdMJkI94X8f6LkkT4VhiPYmmQ1NXVJZtmQacagWgkIPz7778/+YyoRILkxsWLF2VFD+R7hgNNTHTjjVnDRAZJLAyQ+ZiOdlUaFoODUJhdm/CZwO4u59L+c9NrZEnYf//9J9auXau+IfEYoqrGoHvv3j31E2dAd07MYMybN0+uHxkyCNSkpaWp37COox2vSrzb8QoadrpttmqZXyr6r7tpYuTIkYFrLR8OgknQw8N+Pnv2TC01B5wYXAu64xdpEC4dahatvr5efP36VZw+fVqWGyPojO0xnBnDoB1mODa3b9+WThCcIbMg4K7bNjvGLDJCiBeoLjckOqxbca53Gu+EKu2VVoZbQf8LtpfBswvPMlQOEJKM4BUVmaLRqoyG8xkB3nXhv2KiFxVGmzZtEtOmTfvJZ5w6dapsfnHmzBlZmYOJYKvyKH29qL6JLXAPYxZZYmGAzOfE0mHw9rUn4tzZ82pNicNIkXeq6cDlizfli7GR6ppoEAxDFsvkyZPlAIxgmZsUFBTIwR1BQnzflClT5KwIBNet0Fhn/9qKtGQIkMGePn4pysvL1ZqDCxwNZF/h+sK1ZgZkEdoJ5melF8pM0PXr10vnBZmShjNjGJbhesfvIDMzKytLtLbGnhlQ0u9w6bbJjmGmU3ijKokQkuRUFFsvtbx9/Un/eH9OrSHxoFmVbjutmheFsTHRi87X8B3dbJBDiJexU6qIrFD44W/fvpW+I/SbZ8+e/VM1ASZV16xZI06cOCE7tuP9CBI2ToDxRLddVo1ZZImFAbIA0NrcKWfBcjQ32FD28PYbsWnTZhk9TzSyg6BDWlewC2duW85scQu8rBuDMV7iUWYZTzIyMsSRI0fExIkT5XbgIXHp0qWo6cFgMEPRAUM2mldxooOlYck244OuqriuoIPX0jJ0hpSRjZiVaq+pyN5dR+X3oCMtAs1wbM6dOyeFUt0qY8UsoG5bYjGWWRJCvIIVcfvS/Hqxe/ceMX/+fPXXiQVjqW477Rgy6rxEbW3toFamlzR0CYk3ZYX2JrAf3HsufUboyi5fvlwcPnxYVnbgnai52d373W7TkEhDxhxJHAyQBQRkdNRWt8osheFeQnHDIWMLGjxG6ja0rBLJQJaGM904Yanv7WsjOYkhqmqI8iOrJZEgOIesH2hIYbsWL14sNS3gjOlAWrMTacIw6J54lVhEfiMtGQMgHz9+lFpfyODKzMxUS3/QFEOWq2Ff3haK4qIKtcb44KQGn2Hdnb1q7d4A1ytKP8sKGqVgNe73gXu+RhTm1A1oe7Q625CBEOId8GweTrgf2RuNdQMTXOicDd/BSpm6W3Q6OIEHLUyvgM7KeJYiWzoWnU9C/E4sgaZPb/JFaXFiqoicrErBRK0XQTIAzg+eHRg/4TeW5NeLupq2wPiMDJAFkM6OHtFY3yGqy5pFVWlT/0XcLEsxsdwAGRgrVqyQzg46byQSJ8uYYBD6TjT79++XxxaByBkzZpjK2IoXfX19sgZ/y5YtchthSOVHp5bIsjTU9OuOsVXzcuCoq7NXu81WDTPsyQrE8Y3xBC9R4ThVBhPvdPPB68LB7NbUz+5lvFnBCIyhQYJuOyMNs7g93cx+IySo9PV9l8Gypn7fsaGuXTQ3dvSPgT9r7yBggzEeWRiJpsPBCQyvdLPEBBMyXqAlW11drZYSknw4MUGZqBJFszq7Zmz/vgPi4cOHngmWm9URxrH3anDPLAyQJSkQKETZHTKbUKqUSMqLGy2Vh0azRM8GGpl5o0ePFosWLZKC4l4FbYwRGEPA1AiWbd68Wbx8+VL09vY6UkuPWQav48QDraXRezom8QZp7LiG0EUS/JjldyYTMZ4lrAgI6bYhFhs/fqDUGdkBGCdQoopGGk7opZmltf8lGJnGuu0bztDQBS+lhJDkBX7NjRs31KfE0d3tzMQWrDgv8Rlk6D4+YsQI2XQmns8DQrwIupnr7lWrlgjZE3TZ1G2LHZs9e87guxkkRlD5A9kcdNxEw4F4InWENds4lKHTKDoN+xUGyJIUlNvhhlu1apXMHkokKA3FzZSVqr/JrBo0pRIBnBo4N3BycGzRKtgLpQhmQaklSi4xAGP74QijJDPl0SvtcTZjfqmh7+7qlR1QdftgxhJ1zXkRNKXA9YN7IT+nVB4fpwLg8dSKQUbFwPc6E9xDNmZFRYUMPp88eVJm3KGZCI4VDJmmO3fulPcgMjTcGDtwnSNbQrd9ZiwnjZ2VCElmMG4huO8F8k1mwEaz6vLETuLhZRfPAGT1J7qrPCFeAIkOunvVqqHTbbxxKrgHnxF0dnbK7FJ0YoePCF/R8BvhQ0JjDc0G4FvCx3QDQ0fYquE8+rX6gAGyJKWpqUneXNu2bRN//vmnWpoYfojBO6NDhtKAeIMSM4jXGi+8O3bsUD/xJygJhZg/RP2xP4f2H9ce62i2c+cutUbvs2P7Lu0+RDPU3dOp/RkICyNL6tzpK9pjZtdQ6hdPhtPmsWrQ89KBWUC8ICHrDsFpzBIazs+cOXPE3r17ZdARXZaQ1WkXXKJlDmhjxPscEEK8A7oWo1GKF3AqUyORQf87d+7IsR6yHISQAZkg3X1qxyAzFG8wnui2xaoN5TMCVP+gSdW1a9fkhAX8bcNvRHMPJL6cPXtWdvLE+2ksxKojjIChH2GALImZPn26LKfDDRXvVM1IBjqVxB4gK8iOf8ZSUVGRFFWFdgSO5aFDh9RPgkFeXp68PqyUW6KF/IsXL+TxQCaRF3SXhgIlsIP6WfcfW8qwqShukplG5FcQhEfpKrKOdMfOjsU7IxGaPLrtsGNWGlUUFBTI0ueDBw/KwDuuTRjalC9YsEAuf/z4sSVdih+dRPXbZ8WgU0QIST7evXsnx6KhmvvEEyd0yIwsjURw8eJFeSyRUUwIGQCZ7rp71Y75WYfManMz+NyfP38Wly9flp3l//nnn0HfEXJKGzZskGMOGmtZkf6B363bPrOW+61Gavr6DQbIkphdu3bJVtK4eVJSUtTSxGBoFcVaitUcZx0oZMogWo/BB8cREfsggwcXHjhDiXuj853R8QqgVGzSpEkyJdiLHZlycnLkzMu///472IERwpJobJHTP6jr9hGGtGEGCaIDIXinShQNizdVpbFnKaBTaiwgcwwZZMgkQ9mzkdkJGzVqlFiyZIk4duyYePbsmSgtLVV/9TNOZsMV5yZvQwpCkpm6ujo57rx580YtSSyxdLqDWX0JdYrjx4/L44iXWULID5DtrrtX7dj1y/cHNXHjSaxNBmL1GQ0wkQF9Q+iOQ/YHHecN3xHvPUiSuXr1qkhNTRUtLb+WozrVDAXZvn6DAbIk5u7duzIjAWU8yEhINAcPHBYfXuX0D2iPtTdYNBsuHdUNDFFVI0oPwe1kAmnQx4+dEnduPZRO5lCdKquqqmQgdsyYMQnvmBoOOnni/C1dulQ7G46ySaRKQ5gSTnhNZYvMwulop1C5WRBE1N2rdu3T24EgZjzBzNdA2257gT63dNMMXQpolkGXAhnBhuNj6FKcOnVKXueVlZVyFs/JYKXfOxQRQuwxZcoUz2Q9QXMn5cFr7RgVzepqnHkJtQrK5jFOY8KDEPIrsWYtGXbwwBHZkC4R1Ifs6Xa5rbWLd7LXr1+L06dPSx1yyCwZvuO0adPE9u3bZSMWJDhUlNRrt9GqJbp5nh0YIEtikJGAGwJpl3PnzlVLEwNuRmzL5MlTxN8TJ4l3z7O0N9lQFm9HxxBVhRYH/kU5VDKC2Qd0wIxGd3f3YDnvgwcP1NLEgWAmtgVZlMQ92lrV7FOqM/qCB/bFfybQAGKv2RbLE+Otf4FGIV+/fv1Fl2LL5q3a7YvFkE1KCEk+oF27bNky9SlxdHR0yBL0WbNmidzMcu04NZQ5laFhhb6+PrFp0yY5Jj9//lwtJYREMiC7o793rVhmRo6835DQkAiQPGCl4UAiNNMAdKcxJiGzFUkDaNKG4/bq6Wftdlo1TND6DQbIkhwIQuNFCjcCnI1EYGhVzZw5U25Penqm6fptCKS397+ExxN0EsH2Ij0V/yISn6wgawUDqlmQ6oxjlshSVGjEYRvOnTunlhA3gR6dE7pX6Z9L5Xlzq0uPGSBWijFHbtMw2mrY5/ZWb3R7bGhoEOnfMrXbGYuhLJ4QknzcvHlTlnYnmvXr14tx48YNaugiwzta5glevFE2FG9QvgStUxw3dJEnhAyNE0L3hUqTGkF0ZEUlClTXICtsOH1jL/mMBtDXdipQCfPbpCoDZEkOIsXIAMKLZ1pamloaP9CFA9+N4Bj+hQCsAVrDQs8KA0dhdp0U4EckvqywUaauosQvnqDUqr62VSxbvEWsWr5djB49Rnz8+Fn9NPlAVhjOmdXsOSN7a/fu3WpJfEB2DWrw7WwzsQ8e+vIBGaNYf11Nq5zVQnfVRPPw4WMxb+588fltrijsfyEryq2XQX2MV4nStBmOH6K3zmTywby4n4QQ98nKypLP0fz8fLUk/hw4cEBuA7RzIsHLdW11q6gsbZKNdKB/g+BZvH1GgC7txQX14uK5u+KvvyaI9G8Z6ieEkOHA/avzPcwa7nmAgD7GCnR+TDTQycY7LfzFUFWrZ31Gg6qy2JsNGOY3n5EBsiTnxIkTsgxn7NixUqgvnpSXl0vBQEM7x4t6DAjSobTq2f18cWj7W7Fq3sNBWzjjnPz35P4P4sv7cvUXyQNE93HesrOz1RLzGFmDqH9H5xW3wUwIgrC43nQONXEXpI3HEiCDUD6AdgvOYyJobm6WgsqG5iBK0/2SCYBOq/JYOtRRNDc9pNZMCEk2enp65Bh4//59tSS+XLhwQX7/kydP1BLvkfmtWpw+9Oknn3HRjAvy37NHPou0T5XqNwkhOqD3q/M/zJjhMwJoDGO88IK8i9+A9rLu+Fo1P/qMDJAlOSgPxMCBTDJoI8QLRPKhe2a8bHqx3A0C4zn9L5Qn9338yckZynatfym+fkxc+Ve8MYJcyMyyg9HhEgHSgoICtdR5oD2ABgELFixIaHlesoNAc9bXKsudaoty62RXIwB9LVxzRsfReIDgKspy0dAE343/Y5nfQOfJ7DRnRPorSxKjk0EI8QZovIOOuvHm4cOHchyO94SuWVBpcPl0mtZHjLS9m1+L9NQq9ZeEkEgQJCvJsyYUH+4zGqB6BCXOxBqNDjXa8qPPyABZklNTUyOdDeiQIVgRLzBYodMavjsRTlY0IPqf8alS7Ot3YHSOzXB27Xy6WkuwgY4YdNhiAd31ELjCtfDx40e11Dnu3Lkjr7EtW7bIklCSWJDyLh+YJjTJ8jJCIlTV8kt3VHRQO3z4sPrkHp8/fxYbN26U1w/GRmSPxSPb0S1+dBSNPUjWWJcYvUpCiDc4cuRI3LN50QUb4zG+24u0tXaJQzt/rjQwY7cus+ySkKFAR/nqsmatLxJu+Zm1Wp8RPHv2TI4dnCS3Tkl+7DpkfvQZGSAjMovLEOqvrq5WS91j37598rvQWtZMB8R4Y7xIHtn1TuvMmLH3rwZEY4MMMg6dOH9udbhE+TDWiX+Jd4AeFnQXSgsaRM63msGyv5yvNbLTTVF23ZBODjhz5oz466+/1Cfnefz4sRR1xbWDLImUlBT1E//jhOAqzlvk7CwhJLkwXjghPh8PoHcGDUr4Cl4lsqTSiqUmUfUBIXaAnh+SF+CDwBfJSw9JIX5kmA3nMwKUhWP8uHjxolpCzALdtEg/0Ir51WdkgIxIhwMtu+HsvHr1Si11h/Pnz4v//e9/MvNo9uzZtsvz3AIDbG56jbh9KUPrxFixrs5gd3lDaaSTwSejw6Wu3La5sUOEKlvlQIsgCpo2QGMArdojhR+7uroGA27IIEsGkAYNQdPi3DrZxQvZV3AcyosaRUtT57COg99AeSPO7Zs3b9QS5zD0EHH9BFGr7tXLd+LIgTNaJ8aM4dryWyciQojzIBMDY+WXL1/UEveoq6sT06ZNE4sWLZIvul7kzbNirR9o1nasfa7WREh8QNOK2qpW2WERovGYQENDi6D5jAZIzkiUhq2fQaXZmVOXRMbnCq1fOJz52WdkgIyIa9euSZH+//77z9VsG2QHwaHCS+j48eNFaWmp+ol3wCwEbuptq59rnRgr9jKlUK01eBgdLJFt4yS4FrFeo+wWeh7o+BI56EZapRLkROMHZP+gZBPlGEEHMzsD2lL9x2EYAfactBoZLAuK07N48WJZNhsLmI2EMwi9CjzEISJ6/PB58fl9hmhu6BA93cELBG3btk0sWLBQdgPWXSfRjJ0rCSEGaHrjdkYGyqswgTt58mT5ouZVnPAZP7z2nk9MggcCFhBflxn8muc8LGg+I8CkJ94voH9MzGNMhty9/Vh7rQxnfvYZGSAj4tu3b/Lihy4YxPrdAELp+A5E7/EvxLa9CDKTXjws0DovVm3fltdqrcEDovo4j3Y6WEbDEP+/c+uhdsAdyvCwP3DgkJg1a5YvRdStghk/3XEYzhAYQWDI7xjacugsaRUjMKY7PpGGdP4ggQxhHLeiomJR1u/86vZZZ8hOhFguIYQYrF+/Xqxdu1Z9coft27eLkSNHipycHLXEe+RmhrQ+oFU7uue9WiMh7oCABSoMdM95nQXFZzSYOnWqbLRErIFJaUgxQR5Fd51EWhB8RgbIiOjo6JAvTbj44Yhgxs5J8vLyxKhRo8SMGTPk90C7wov0dPfJG/v6WXMdiMxYqNpbJaRO8fz5c3ku0Y3UDV4+e//LgGvWWpqDeczDCVW19u9rjSmx+0hDiSpS6P1MQ0ODvP7u3bunlpjDTttwZDD29QVDdKu3t1fqcFy5ckV+hrMM8duC/hc87KvRYRTBZjjRKGlubWbWGCHkVy5duuSqHuTx48flOP/27Vu1xJuk3MvT+n92DFnhhLgBKjLyLQTHDAuCz2iA5mLjxo1Tn4hZbty4ITu5I15g6AjDN85LH9AORhUGgqko0w2Kz8gAGZHMnTtXzgbCGcnNzVVLY6e2tlZ2nUPUHutGCZ1X6WgbeHk+E4PQaqTduv4ykF1TnOhgORQYXCMf0FYMaeFBRs7gpCKYYb8bIR5k330e9EGHySVLlqhP0UHg32q7cMOg7RYUdu7cKebNm6c+EUKIPaA/Br+urKxMLXEOvJDZmQRJBFfOODepevPaU0+XkhJ/0tf7XZTG0I0wCD4jMDRsX78OboWPG2BMwnF7+vSpWhJ8GCAjkgMHDkjRfESInRI27+vrky+w0KnAjXXs2DH1E2/SrgJkJ/d90Doudmz8uP/kvm/YsEF8+vRJfZP/QXDCrQ6kJfn2ghjhFqqMT2eteIOZG93+2rF6n5cPGuWCJSXmOsaaaRM+nCEwGQTevXsnj1sylCETQtwDHSzdeGkyMtQxEecHLhz/ovX/7NjihavlvkMvMoiNYkhiqKkY0FeOxfzuMxqgXNDL3XC9yvLly+W7X7LAABmRpKSkyIfyggULZIaBE6Bk8/fff5eG/3sdpB/jIXDheKrWcbFjm9efkMfVMGTS3bp1S7S3+/tlGx2lUP7gNOiqE/lQtmNI9w0iRv2/UQoXi+EY+VmAFRlhf/75p+yMG4221tiyEmFByiLDcbtw4YL6RAgh9oCu7OHDh9Wn2DE0cffu3auWeJ/bVzK1/p8d+/KxVGbNoaoDxwHZvviMxkiE2AUZYDq/xor53Wc0MDRsm5qa1BJiBuO4YWIkGWCAjEiQhYELf9OmTTL4ESvIFsP6kD2GLDJo3/iBnLRq8fB6ttZxsWPlJU1SL+ny5cti4sSJ8pjAoPUGoUiI3fuNrq4uuQ9Od7AE0N/QPZjtmF9bCw/HQEdP+6WVkdba7G9diYMHD8ruu9GodmD2FBaULDK8fKKZBSGExALGEkysOgFKNeEzupWd7hYf35Rp/T87Fq5biwwyTC7D30JnbvjVxcXF6qeEmMOY/HfC/O4zgsbGRnlP3b17Vy0hZqivr5fH7dGjR2pJsGGAjAwC4UKkdeMGwABiF+iMoVQT2VLQH4MOmV8oL24Uqe/KtY6LVdux9oVa6w9QFoaW5TjGCJLhX3QOffnypfqNHzTWt0vNAAggZqf9CIpAPLuypClhDyqjg6UbXaWcSAM3LCiiouFAEFO3r3atqb5DrdmfpKeny2sxLS1NLdGTn1mr3X+rVlNhvWumF0G5N44bGqgQQohdHjx4IMeSWDOc0PAHWVOQ+vBbhkJ9XbvWB7RqQ3U+h/7PuXPnxN9//y2PNTqHDtW4AB0H8Zwqzv0hVYHMn+ry5sCIZxNrNNSa6zxoxvzuMxogGcSKhi0ZYPXq1a53LvYKDJCRQTBrt2rVKvkA/vjxo1pqDXSoxN+jYyU6Vzop+B8PDIH4Uwc+ah0YK/b80dDZYYWFheLIkSODQTIYZk7RFaqkqFI6NGYyhfL7fy/eDyzjHLvRwTIWEdFIC1UFLw04Nx0diJwLkjXU+l9TYvr06WL//v3q06+gU6Nu3+0YAtNBAePNmTNn1CdCCLEOfBn4A5mZmWqJPdatWyc7YpaWlqol/uLSqa9aP9CKvXkePTsMem/GJCuypzEhjVIxdFquMqGziVK7poZgBDmIOepDbdprwY4FwWcEEOnHPWRWw5YMYEyIoDIq6DBARgaBlg9mqGBmdH0iQRYHbhxoUuDf9+/fq5/4C7wEf3pVKtYufKR1YszY3k2vpMMSDbTMRV03HB0csxEjRopJf/8ruxTqHk5DGYTt41VSiJdqtzpYMoNseGTgNCybMFarDSvn8CvQ0ho7dqxsCqKjp9u58oIgdUhFeaoT5fSEkORmzJgx4ubNm+qTdfbt2yf9n69fv6ol/qO6skXrC5q1wzvfqTWZAxn8mBjCcZszZ44ozLamMVVW2CCfjST4oBpFdw3YsSD4jAbQYvVLIxCvgGA8xhw/dBeOFQbIyCDIGsOFjywyqxoQmPXD7B9euLCO+/fvq5/4j66ubpGeWiwO77uldWSi2ZoFj0RJv/NhlWcpr0Xq+2Jx7OB57YMpmiFIFg/QxcStFFtqkA1PUW6d1MnT7a8da23xf8kFdGsw5ujKlA1yHAoqBilAhpdRHLesrCy1hBBCrLNixQrbjZgwGYtxCJnpfufSOb1PGM02LE0RleX2yvcbG5rEmRNXtM+raFZWGJznGRkaTBbrzr8dC4LPaGBWw5b8zPr16+WYH3QYICODGMKF0CGDHtlQQPuqpv9hjq5uyGgpyq4ThbnV4uSx8+Lhg0e2ss+8BIQbR4wYIaZPmynmzFyqdWiGsi0rn/YfC+vd7n502YvtRR6p1G6DIOiJEyfUJ2dhF8vhwayvUyWW0Lb7Hj3J0Reg/fSGDRvUp19xooMTLCj6Gwb//POPa/cyISQ5OH36dNSscgiFQwsJZYCYaIAmVnNDh3jw4KEsEwwCKPdfuWKT1jccynaseyFKY5h4QcWD7lll1oL2TCO/4pTMRJB8RmBWw5b8TEpKijxuoVBILQkmDJCRn0DwA+KFuPgja7MRfMnPCEUt/4PzgwHZr0AkFi/cOAZPU16L98+KxaHtb7XOTbhdPfdNZkDZobTAGe2t/Ex3Byw3O1gaIBNOt29WLFQZzDbEhkZe9teqn/bXjlUUB0dPCxmruC7RZUeHGW0WMxa0rMSjR4+KyZMnq0+EEGIdCMZj/NU1ZMKkF3xC3XhqGJojtbf6OzPlzZs38hhkZ2eLsv79OXXwk9ZPDLebFzNEe5v95gbtrd3a42nFUJpJgs9AB3T9NWDWguQzGiCojRJvYp7W1lY51t26dUstCSYMkJGf2Llzp2zZjYsfUWLQ1/tdBnBy+gfIrIgBczirLG0SvT16XSCv8u7dO7nv6CxptC7/3vddzrKlfaoUNy6ki2N73ou9m16L/VveiHNHP4tXT4pEbY39zK0uh7KmDGtucE97Kz8/Xx4fNzpYGvwIAtmzIJXB6cB9hf3E/Ri571YsSEK96Ho23AMb2QuyG6zmOJi14rz4lDDHk4yMDHncMJNKCCF2QGAM4wiCROHgGaMbS4eyqv5nG/wtPwJpkpUrV6pPAyAzLOVenjh37IvUGINBzP/Ns2JRX9uufss+OF6642jVgqjXSn4GAWjdubdiyPgMGhcvXhR//PGH6O2lHp8VNm/eLN+TgwwDZOQnUF7422+/ySyqAwcOSGelOK/O9ss4Spu++ygnF9pr8+fPl86em1lS4TjZYQZW4WKnPaODZXt77M7dcKD8QrdvZgwB3SDT0R77rHEQO3xCA2fhwoXq06+EKlu1x8KsBbVF/pQpU2RHXUIIsQsyUU+dOqU+CTmpqBtHo5kfJyKQNQa/6NWrV2pJfEDFgO4YWjVMupHgE0tAFeXRQcTQsH3+/LlaQsyA44XjVlVVpZYEDwbIyE/k5ubKix4ifHPnzpXBloEB0n5JFzoT+oG8vDy576tXr5adPONFLMEgneV8q1Frdh5ojcSrJAtlkrr9G8qw37GUK/gJlFbIjpaa4xDNjh0+HUjtAKPMp6CgQC35mZ7uPttaZHU1wencBDBn0dv7XWbWnT55Thw9fFJeU37N3iCEJBZMUECaAsQ6iVNb5a/xdvfu3bJUK55gDNcdOzsG6RSSHNjpFH/m1AXR0GC98ZhfWLZs2bAatuQHGHfgSzc3tYk5c+aK27dvq58EDwbIyE8g2wsC9RDqx8vmt4+lItuBrnl4EfM6qENH8Af7j7TbeFFZ6myADNbjUmkrHiJudbDUgevGjHYCjmGyAT0so/RZd0wiLfV9odi8YZfMEMW9jRcaP7fV1zFhwgQZxB0KZBdCR0N3fIYyNzMy401f33cZ7MuDlqRmX2FFufUyqxXaQYQQYoabN2+K0aNHy/8PNJPRjy9mzS0fxmkw2YTnabz1eCBfojtudo2TI8kDssF010CkYUKxMK900GdEIBiyDEHjwYMHcv+G0rAlmPToGVLLF91wg+gzMkBGfgF1xQiCYMC4e+OF9oawajUeF02vq6uT+2vsdzxnS6odEhAPN7fKDNES+eTJk+pT/Ghu7JAlcggIpX0slsKyVaXNclD2QkMIBB5qq1vFm6dF4uju92L3hpeyo+n6JSli8/Kn4trZb+Lbl0rHdb8Q0Iazg7KUr++LZUD7xuWUX66HmopmOeuTmpoqtQPg8CAQjGt9xowZ4t69e6Kz0/86JCgVjNZNDZiZRYWWXZDKKhvr2uV9o9tXneVn1ga2rJQQ4iyZmZnyeZKdlacdT6xaXbX7Hbmd4OzZs2LMmDFxf37C59AdN7tGEkN+Tq04f+yLOLTjrdi5/oXYuOxJv+/4TDZwcMNnNMCzHX4QgmBXLzz45XpABYfxHgGNVwTAZ86cKe/xRYsWiUePHvVfg/7SmB4KQ3Qe+0h+BkkKZptcBc1nZICM/ALa/iMQMnr0GHFo/2ntjWDVCvpvHC9z/vx5MWrUKJlBBu21eFIfUrM5DmTqwZAd4gZGB0ujeUMi6OjokMGdGzduqCWJBwGqDy9Lxcn9H7WdqiLtw+tS9ZfOgNLgPXv2yHPz119/yX9fv3wvOtq65Sy8TgOwpqZGXvPjx4+Xvw/D9Y8AU2Fhofot/2FowXz+/FktGRrMiNXVtMmg64E9J8TypavFlk07xIF9R8SF85elA4imHRCwR0dfzC52d9sv4YXj0FjXIar7ndLKkmYZ4MXEQWf/drgNuuvqxgozFlTtEUKIc/T09Mix9+qVW9pxxKrhxd3rQNgbz1z4zIlAdpXXHDur5odjHTTKS5vE9fPpWh8x0pz2GQ0ePnwopXRw335NTRddnT1D+owGHz9+FJs2bZJ/M27cOHntl5a6s33xBFVTRmM2LwH/EL4jNB3hi0E/OB4+owH8Y92YMZwFxWdkgIz8AoRGMfjNnb2w/6VxjfYGsGNeTr9EaRYE+rHfQ2kYuYUTouvh5lZJmKHR5mYHy2gYTQKqq70x44kgB7LGdE7NcPboTq5ag30+ffo0eM2OHDlS/gvtwC9fvqjfMMeLFy/E4sWL5d8bWWXQZIi34LBToMEIAoZWwO+vW7dOHodp06YNBhp1ho5HyFKbN2+e7FwGx+rQoUMy4IgyG1yjODfQc8QMKzo/leTWiyyp46jvpIkOm5ilQ1DTaTADmJce24sUss8IIWQ40CRly6bt2jHEjkFGwMsg8xrPhIqKCrUkvlQOagTHZtDBJfGjuKBB6xcOZ074jADZUleuXBGTJk2S1y6kNux0scY1DzkLvDthPfA9oQPrVzAZiv2I9/vfUGDsQ4ZfzhCJE2jQ4ZbPaGBVBzrcguAzMkBGfgHBh4kTJ4oVy9aJaf/N1F78dgwRcC+CTBEMjHjhxUtyIkCJXHaa/uXZqrnVsvvp06fyOCGLK1Fg5grBGy9QV90qMj9Xib2bXmkdmmh2+UyaWpM1cB7mzJkjz4WhDQH9vFgf7Pn5+TLQYwTbYBgHoMeHNv5+4fLly+L333+XGY+xgFnU5uZm6QgiKIyZUwS/EAQ7d+6cPFYIjqG1P8YOZJ+i1MY4dvg/tHiGC4xFGgJlTs++OaEHhAwDlPQQQshQIAN55ow52jHEjrnlyzgFJmO2b9+uPsWf1mb7mcHhlizNjbxAQ127lODQ+YTRzK7PCODHHDt2bNC/O3z4sMyMd4InT55IaR6sF9VHCMD5UdQfwb7wTryJAllieemJ8xkBSnt132fWguAzMkBGtCClM+NzRf/Lnf7it2NejSjPnz9fBl0wuL9//14tjS9wBHGMBl6m9cfPjEEs0S0wWzRlyhT1Kf60tbXJcxRvMVwdRgv7s4c/ax0Zs5bRvw4zINiDslJ0V8UxgEEQGefE6eBVe3u7uHPnjsykwvcYQTgEg9LS7Dto8QJtp7G9CCQmApwrlGO+e/Xtl/vTrKEduxMY44rZRg7DWdA6eRJCnAVllqX5sQfkDUNpuFf58OGDfM7Yyb5xklgnQNAEicQHNFY4feiT1hc0a2Z9RoOsrCyxc+dOea1CUgOZ7m4FryBxgclav4r6Hz161JSGrZvg3Vt3n0Yzp3xGAzullZHmd5+RATKiBTXOugs+Fmtr8d4sFUqhMJCjPTmychJJdUWz1CHLMZltEmkoo3KzJAEdLBOVYQcwS4Vzha5RiaYgq1a8eJivdWCs2In9H9Qa9WBfEQQLz0xCajzEROMhCoxyTYj643sNpwdCrSgtiTVDy01Q+hjPbquRmBU1Hc6cmFAY6ABb40iADCn9w2mTEEJIZf+Lmm78sGNulg/FCnyhJUuWqE+JAz6f2WyTSMOYjqANiQ/QEtP5gVYsms9ogACuIcGBRkx3796Nm6g+RP0xoYvvxfcbov7Q7PMyVjRs3QD3Mt4tdPeqGXMqCQWyHLr1WzW/+4wMkJEhyU0PxZzRFG7xTLfEQx/dDRtCbbK7YH1tu9bZQtAH5VEYFO/fv6+WJg6jo6XVIFnG53LX0+SnTp2akA6WBjhXK1asUJ8SB64jHPNzR2LLHjPs8/tyteYfoFwSM3G4Lg1dMFynicqKQtk1Zh7Dtbkg6o8Zt6KiIvVb3uHx48dyG9GMIN4gPT7y/rRjxbn2hZOhM/L69Wvx4vEX8eTBJ+367RhEfAkhZCjwkqYbO6watHcSRW/vgP/Y061/oYccAZ4vz58/V0sSC3w/q0EyvLxC/5bEj4snU7U+oFXT+YwG8H1QFYPr0wtasgjUbdy4UW7Pn3/+6XlRf5RN79q1S32KL+icrrtXzVosPqMBmnRlfivQrt+O+dlnZICMDImcCYwhoynckAYeD5CeWlYA3R/9dsAgbArtBrzYY9BevXq1fPH3SstidNbLgR6Zya6WL1K+iA3rN6m/dgdkK+FYIYsrEWBGCt+P0r9Eg/bzOO5bVjzVOi9W7cGtH00PkLGFmWnsq6EVgc+JmtHSgZcCzAhi24zgHTIwvSTqD508bNv169fVkvhRIkuMYh8zYVZmBDH7eebMmcFZW+iw4d9D+05p123HML4SQshQoAuebuywam41GxoKjLXweaGdE74d8MWwDILZBvv370+o3IQOZJ9AYiN824eysqKGIYN/xD02LH2i9QGtWrjPCCA/cu3aNVkeiGc+sv69JodRXl4uqyGMzukQ9YcwvteAfhp8p3hUaITjVNaW1SyypqYm8fLlS7F3797B6+fC2evaddsxP/uMDJCRITG6KzpRnoPZODdBGqcM6KXi+8y9nL598U0sXbJSlq+dPXtWrckbIAMOgbLCrNqB4y/364chu6+8eCDQZ3R2dFNI3ehgic58icDICKqrS3w7cmisvHhQoHVc7NjNixnyHBqzfkbQCZ0VMVPtVQxRf2N7YRD1v3TpkifOE3Q30MI8nuC+xf3pVOZtSV69WvOvoPw2JSVFlpOGl+DCUIa7Z89ecePyY5H+qVy7bjsWlPbdhBD3QFdE3fhhxeIpHG9Wx6sot07UhurkGIuAhBeB7iRK63MjMsryMkIy6MhJjsRQlF+v9f/sGHxGAL1VZGQhmx/X5IEDBzyZ0R8J/BaUJ2ObIep/9epV0djoDS08Q8M23skATlUeDOczGmRmZsqKEKN7PQy+MhoUpKam9r9Lx5bJFm5+9hkZICPDUlvVOpDJZLPDYmZqpSwbdBOUONsVhv30Ok+cPH7GE7pWw4HZvs72bjlLiPT/cNBpDwMcavzdwtD/goB7IkAWFQIBXgBp0J9fl2kdFzs2+79dgw8pODp4SKGk0S8gW+v27duyBBf7YGiVobvXt2/f1G85D4LueBmormyWwXE4/9Dxa+1fjjEBXSexHfEM6jarzj9OTCrA8vtfagwwCQDn5eDBg4MzfYbhukH58cOHD3+6diJfkmI1BsgIIdGAnIZdLR34jKHK+Ig7d3ZY19p99yJbnD51RmbteB34ijqfkcQfdAXU+X92bO/221IAH8/+cePGya7aaAzkNwxRf8OPwaQwgjdugklMBInhq8GfQTd6w2c0wLsG9NviSWTmql3DeiKBT4j3w61bt8oyVxxrVE3BR0ewMvL9F8dFt2475pQuWiJggIxEJRbB6QN7j8uUWgw2EIl0qq1wOHgxjsywsmpIb/UzeDlGnb9bIGiTqJICpABjQPeCRhyoKhsQIV678JHWebFqyxeckhk/KAdEsMnPoER006ZN8nwZgTKU/Dkp6t/e2qXE5/X3MgxlMQhk7ti6Vxw/flz9pfsYjoWT2o337z2QJa3hmXowzLxi9ng4h7I4r167TruGly1CCIlGR3uPbBykG0eGs4vnrotZs2bJMkZkjpeVlak1Oo+d7YPh7wixyrrFj7U+oFXbuemmmD59upyYROdYvwMJFfi/2Cf4NshsQkDHSdmb733fRX1N25CB+9xvNf1+ZZMMnCFohO2I50S1U5OZ0BbENQFZFviH0FQzfMalS5eKixcvysDkcBjdz52w3l6K9JOAE0ImmebiH85eP/8i0zaN9F/D8BnL8eKKOvlYggJN9QMZG7FaRYm/W12jYww0q9x6WEIvAJYIkBWD68at1tRWqakcSIXeue6F1nmxam9fFKs1BweI42NWE7Ob4fd9rKL+aGWdZTEYfu5U/HTIMDOp24ZYbMSIAS06zPwhCP7ixQsZNDYDGpTI9ZjUMxzOUF5ECCFmQYaWlSA9dL4gN4DSffiIxrMDk6xo0gN9oPT0dEcmW2ItacLfE2KFA9veaH1AqxZEn9EgXNQf/iMag8UaJEfAx0qGVmlhrXyfimcZtVOTmRmfKwb1i5HUgIkGNGxCENIsyLKLpZumYfHWkXQaBsiIadC9z8jckCLyETeDYaUFDb/oHCBzDALryCQzRBrD7Z9//hFbtmyRAuCoATcLBj10O9Jth1WDM+dX0BUGxxEPFzdA+RyyyBIBrpl4pzsPR6MKyp499EnrvFi1ynJ3SpBRluu29p8ZcE8bWgdGFpSd7kp4eYq8Z83akwcfxX//TZPZbAj0Qiz2/fv3lsYaM9gp2RnequRLIToL2QGlToXZ/Y5hjBm2sHCRakIIMctwmRswiMvrtLFQxoiycmQ9wAcYO3bsoM+4cOFCcezYMfkcsdqtGCVVuu2walgPIWa5cyVT6wNaNbd8Ri9RUVEh/TSjczoC5HZE/Xu6+2RWle7+Hc7Wr90sA3QI1iET68GDB+Lr16+uZZXJSijNdli1kvx6cevWLVFcHFsQFWO2bv1WDGXFfoYBMmIZvHTBmUF2ArR/qkqbRaiyRUbpzXbGgSAjgjmIbk+bNu2X8qE//vhDijga6aDQ34mks914GXUmNRX74GdmzpwpRTqdBhl+OCeJ6GCJrDF8N7LIvAQ6Fb5/XiLWLYotZX7v5tdqjbGDWR/Mahfn1ssmDsZ1jf+jc2tjXcdPOgvxBqL+0M8ySi9hZkX9ndBEWLpk1WBnx3DD9iA7y4ngWV/vd+132zWIXceKPHYxBsgw6ZHIa4cQ4n/gsyHrvz7UJscl6TP2P7esgMkCvKxCgwm+ozGOT548WWrqYCIWTYWGAw2QdOOcVcN6CDFLqP+dacOSFK0vaNac9Bn9QrioP+55ZHaZzaKPJscxlH16ky9279wv1q5dK78z3G+FH4n3rcjgmdVAfTh4/9Rth1VzakxCSWosumiQovE7DJARzwAxbbwso046fKYQhsEJ9eloRYtZBAROnBQShPm9hAipyMjEcxqcF5yDaE6nG0B3DN9t9mEYL5obB2r0L534qnVizNqH16VqjfYxAmP5mdFTohHoSLSOFBo9QDsDGlrh9zhebnStyY2yRSd0vaCLg2spJydHliWj0+WCBQtkoG6o4BnGIgTP0CgCwTOMP5WVlWrrfgVBLfl9DmS26rIq7IBJDLlOG9uE1H8/60gQQoILxMkxJsP/ge9olBcZjUvQoRwNW8J9iHKbL82RhvUQYoWUu3laX9CsfX5frtaUfFgV9XeiMyR8RoAkDfh90NmFnjayV+ET4r00PHiG8ScyeIYs2GiZZ6g+yPkWe7JHe6tz3X8xgYHut7rvGc7QNC8IMEBGPAsGFOjtbNu2TQZ+jAHIsL/GjRfrVm8Rzx+nam9SO+bnLAkEF3BcnO7aZ3SwTISAPLrJ4CHkRZAS/eVtmdi13p4W2c1LA626YwEZSwjs6q7loQylLl4ovQQQEjVE/Y0sUjgXCIx2dw886I3SyqyI/bBjaDgyHOgIi/vn5s2bYteuXTJ49vfffw++dIWbLnj29u1bUVpSLgVfYw2QIZjpJOjWJNdtYbvyM6sozE8I8Q0Q9s7KypITIJDtQAMcY8zGswUv2J/f5WrHO6tWkF2rvpUQczQ3ddrWIntyP1+tJbmBnxYu6o8mRjpR/0IHOkNG8xmBETyDP2smeIZyUWhww88ND54Z+sZ2zWmfEVjVkXzzIlXs2LFT/bW/YYCM+IbOzk4ZBEJUHgKuy5auEDOmz9HepHbN7y+DqJk/f/68+uQMmJmFBlm8QdkdHiroZOVV0Lwi5d4XsWbxZa1DM5Qd2vFWlirHit30cVhHu3MzTbECBwGi/obeBAwZAHA0Xj9LdURDyzC72VDRgmf/+9//BrcdTtG//0wVVy880G5DNMtLr3FFExHlTQWZtSKn/zuGa3aALm3oQOxGyTYhhMQTvLxCCxPi//PmzftJgiAWw3oIsUpTY4c4eeCj1jccym5cSFd/TcIZStQfk8C6e9aOxZI4ERk8Q6OqoYJnM2bMFPdvv9RuQzRzy2cEqFKJ9q6BckzoMxtVPwUFBeqv/QsDZMS3DOpIOCTSD+vtda6tcCIwSsacBIM5ZjziDR4mGGitdF+JJ+jGiBRvbOOE8X+LbWtvaB2bcNu2+pl4+iBftDhQOherZgH0A70IuphFivpv3bRHuw92zEiZdxIjeAZxVGjj4H7Zt+eQePboswxG6bZjKMtKrZKBLDdBw5VQZasoyq6XAbOCzJCcbS0rapJBX0wUIBCIY19enrwlHYSQ4IFMC93Ya9XcyNggyQGCGRdOpGr9xHCD5tj7V7FLcQQd+CloJGY0gTty6KT2nrVjCBC5BbRuUbZ57949OSFcVFRuq6mA2z4jwHFobuiUkh1l/WMftI1R4YFS1vAJf8in4F3U7zBARnxLa/OADtRwmRBWDIOS30FJKh4OsYhFRoJWwSgfizfQD4FouteA2PyOHTvkcUZmHUSBEVBorGsXaR8qxI3z6eLg9oEU+o1Ln4gda1+IwzvfORYYAyitlGV8muvYijmlceUG0Lw7euSYuHD6lnj28LN2++0Y9OPihaGTmGOykcj5M9fEgvkLHe+uaReUJzGLjBASJJwSxPZ7YyeSeApy68Tju7ni0M63Ys2CR2LrqmcyKHZ0z3vx/HGBa1lBQQZVJ2mf87X3rB3r6oxvZRHeJxCA0m1LpJ08dkFWU0GX2ytAdw3vR3a7r3sFBsiIb0HaqxOihoY50TEu0aAtOgYmzEY4gdHB8unTp2pJfAiFQvJ7E9E5cygg7A49PGwXutrgIZAoGuudaVBRVujtGXCjK6RTQXBYvDuPIQgJHQtkug6lo1aUUytevXgnr63Dhw+rv0w8yIjDNqFkgRBCgkBTQ4d2HLZqWA8hxHsY2rVOGDLu4w3eb9Htd6hs1+LcOvHk8UBCBDLnvEYQssgYICO+BkEtWcLkwAt0UGZqIGzvVOZVojpYosshvhcBv0SDLjmbN2+W2wOBTYiBJpryIme6cEE3wOvk2+iiM5y1J8DZMUD2Wm11qwyY1Va1itamTjlbCI2KCRMmyHJmr4EGKfv371efCCHE30CHEgL7uueDWcPfs7svId7EyN53wr47oBccCz3dvf370yarVKCtBp+xuLhYjBkzRmzdulX9lrcwssj8rEXGABnxNaiJHmhDW/XLoGbFMNsQFBBcgvgjmhrESkpKihzknFiXFZYtWyaFNxMJGkIg0Ij9R1MIL2Wz6a5hO4aOll6nJN98B51oBp0tr9Hb2yu7MKEbphf19phFRggJGrFmkTF7jBDvgsx93X1r1coKG9UavUN7e7uYPXu2mD9//mC3dy+CShvI0fgVBsiI7zG0yHJsiPVD3+jrx/hmR7kNxCrxQvv27Vu1RIiWpk6ZtYIAQW56jQyMVBQ3yVkWlLENBTrCIFU2nqCjIbYfYu2JAIKZa9askduAhgfQdfMahTHOfhsGHTOv41Q5KQzZW15j+/btsmMntO28CrTImEVGCAkSFSVN2ufEcHb2xHWRl1Wh1kAI8SolebFPrqLM0WugCRQ6vnt90tLvWWQMkJFAgAAQAj+6AU5nzx99EUsXr5I3bxC6bUSC2YV9+/aJ9tZuUw8JlKoijTeSRHSwRPc8ZMBB/yyefPr0SaxcuVJeE8joef36tfqJ94B2mO48WjVkX/oBJ7qO5aWHRKcLHSxj4ezZs/J6e/PmjVriTZhFRggJImZLsVLuvRcL5y+T4+ChQ4fUXxNCvEpzjFmiXvQZjx49Ksegz58/qyXeBllkfn3HZoCMBAZ0GqkoHtBmGkoMG7Z318AAM3Xqf55/MbULuk7Omztfu//DWWPdz0GpyZMnx7WDJYQpN2/eIjZt2qSWuM+7d+9kSSeuCfyLz17HKQHSqtImtUZvgwC4bvutGDLRvAS07HDNXb9+XS3xNtAiQ9CdEEKCBPRnh5p0yvxSIXZuOyjHakw8YiKNEOIPYplM9prPiI75GIecasIWD/ycRcYAGQkcXZ09slNdSUGDyM8M9Ts45eLN029iz44jYuKESfJmPXfunPrtYFJVUacd8M0YghEAde44Vm6XOkI0HeWfRbn926zKZOGUDpSBNopQlTu6TMgQW7x4sdxHZI59/PhR/cT7OKWvgBk2vyBn+m024/CaxiD07XDd+SkTgVlkhJAgg2wRvBTjeVGa3yDu3Hok/v13shz3Ll++rH6LEOIXerr7bDW18prP+OHDBzkOQfbGb/hVi4wBMhJo8FIHfR8YBheUCxYVFamfBhM8EKyUm0aaoUtldLB0UxsJXVl02xBp0E5zqvsgNMWgLYZ9W716tdQc8yNOdLLUldV6GQQGEfQeLkM03FLfF4n58xZ6KiAOjb2///5b6tz5DXa0JIQEHUwCGJ2rt2zZIioqqDlGiJ+B/qzOR4y0/Mza/veDReLatWvqLxNPSUmJ+OOPP+SY5EcePnzo+rukGzBARgJJenq6zA763//+J/WsIDKdKNH3eONE+R2EKR8/fiwHNbc6WCJDTPfdw1ks2WRPnz4Vc+bMkfuE7pTfvn1TP/En9bWxnWdkWfoRlMPUVLZIR0ZmHGqyyqCt9izlnZg1c7a898+fP6/+OrF8//5djkvTp08XTU3+KG8NBx1ycf+UlpaqJYQQEhwuXbokxzhkPbx69UotJYT4HUywoloFSQCRPiP8Sbxf9Pb0yWAUtJC9ALSY8d4yb948197F4gF8Xr9lkTFARgJFS0uLLFuCg4NBDv+eOHFCdHV1qd8IPrrB36oV5dTJ4wYn0Q1K8u3rAkBrzgoI9M2aNUteC9A2y8jIUD/xLzU1NfKBM2vmHPHlbaH2OA1nKF0NAm0tXaKuulVUl7fIwHBTQ6e8PqBlt3fvXrFw4UJ53lNSUtRfJBY4CCNHjpTZmX7l33//pRYZISRQvH//XmqM4XmB5imYzCCEBJPmxk4p24GgmeEzAkxcYgzwij71xo0bxbhx43w/KenHLDIGyEhggOg1Wt/iBRQ34ooVK0ROTo76aXLQ1tqtDYjYsdWr1sjB2WmQnab7PrNWnFev1jQ8EIdEEAnXwtatW0V2drb6ib/Jy8sTU6ZMkYbsyJPHz2iP01D26O4rsW3bdvH161e1xmACXbm1a9fK8++FbEFksWFb/J6VwCwyQkhQCIVCYteuXXJMQ9fuwsJC9RNCSLKBAA7GAvjZiQZJCtiWoDQGwfvY9u3b1SfvwwAZ8T3IxsDLMAYSBMf+/PNPGRxJRsy2LDdj//zzrzhz5oxaszP09X0fKI3TfJ8VC1UOXWqJTi8IHuF6QMaO3+rehwONBEaPHi2WLl0q6urqxPHjx2VQuKmhTRTn1muPlWHFuXVS8+3u3bti7ty58vjMnz9f3iu9vf7SIjPDf//9JwOj2M+qqiq1NDEggw3bcfXqVbXE3zCLjBDid27cuCH1aaEJ+eTJE7WUEJKsvH37VvpqiZbAgJ+O7cC/QcHo3O6F4KMZGCAjvqWnp0d29MANN2bMGPnvwYMHRXNzs/qN5KO2ypwQZTT79qlM7Ny+x3HdNgjt677PqkG/LByUQ6AhA0TEcR3s3r07cDPBRpAFQp249gFKLbEMjj7o7uyVQVII+MMqS5pETUWzDIxFguYEhhAxgsq4l8rLy9VP/Q+C5QiQYv8SGQCEHiK24cCBA2qJ/zHajTOLjBDiN9BF2Ci/P3r0qNT5IYQQvEfgfTKRIGMMYxMyyIKGn7LIGCAjvuT58+cyGIISMwwkixYtkk5PshNr+WK4VZc7H2hsqu/QfpcdQzCou7tbXL9+Xc4A4zpAVgs6vgQNZB5h/xAAjgSBF2T02AUduk6fPi0z0fAd0Gnze0p3bW2t3Bc8iCHSnygQwMT3r1q1Si0JDpMnT5Y6b4QQ4geQFYLnJZ4Ny5cvF1lZWeonhBAixLFjx8TMmTPVp/iDSUdMWMMPDyJGFpkfKnsYICO+AoMHdLFwgyE1/vfff/dMtxEv0NLUqQ0m2bGGWue7HCLopvsuO7Z9267BoA4aMwS1FTse2NjHoToxIiCIn8daVowsPDy8jJl1CBYjU8iPnXPw4oN9QLfSJUuWqKXxB6WwKPVsaGhQS4KDkUUWxIA0ISRY4PkIsWu8fN67d08tJYSQH+D9Etq1iQDN5CB/AgtyViuyyLZt26Y+eRcGyIhvuHDhgnwhM8opIawKgVXyg97e79pgkh3raO9Wa3WOskL73SvD7dSxK2Ls2LEySIoslqKiIvUNwcIoEYzm0OP3nJz1gqi98d3QPEMZip+O8YsXL+S2IziG/UgEKPNFhmuQG4Ugc5FZZIQQr4LmPGjYhOfB/v37E64tRAjxLghOYcI9EWzZskW+1wR90tEvWWQMkBHP8+7dO/nyjxsKNmvWLPHhwwf1UxJJRXGTNqhkxcx2irRKXbUzGmmLF64QC+YvlKWBRnklnOCnT5+qb/I3LS0tsiwPARYz7abRqALHwGnNOASgkblmHGPMrOF+9DpXrlyR2YUoA3S60YQZjGA+AnVBhllkhBAvgmwMNLHB+LRgwQKRmpqqfkIIIXqQZXrt2jX1KX4YetrJ8m47Y8YMz2uRMUBGPEt1dbW8gTBoGFljly9fVj8lQ9HhgBB+c6M76b2tzV3a77NiX94Wymvhzp0f3V0QiFizZo1cjsAIxC39mlVWVlYmyxsRlMrIyFBLo4PUcLwIuAWCj8uWLZPHGCnS0H5DIM+LQGcGHTqxrfHuaIvjhO9FkC4ZQBByz5496hMhhCQWjMHQfkSjFjynCCEkGm1tbdJ3e/nypVoSH1Ahgu/FhGOy4IeOlgyQEU8Cp2bEiBGyvAs3EbrtBanDntuEqlq0wSUzVlXmXhfQ7q5e7XdasbMnrslroq6uTq31B9CoQ1bZxIkT5e+sXLnSV1ll6Hg4YcIEMWfOHBkoswKaVGCf0abaTVCygoAIvgsZbghGee0hh2CpETD9/PmzWuo+CGjiO9EsIllgFhkhxAtgUgy6kxiPdu7cKSdZCSHEDBg/MHbAx40X8E/xndAaTja8nkXGABnxFEiDR+bH//73PzloTJkyRbx69Ur9lJihsrJSLF68WFy+cEMbYBrOKkrc1+coL27UfrdZW7p4lViyZJla29BgFsgIkowfP16WW3g5q+z169dyW1FaaTczCwFBdOeKBxCeR0Yn7lFsN7473jNvQ4EH79atW+V2WQ002gWdM6HJheMQZNDMoa6mTRTl1IncbzUiO61aZKVWipy0GpGbXiPKixpEc0OH6OnuVX9BCCHucu7cOTneQ47j/fv3aikhhJgD5Y0YQ3ST724A3xQlnaj+SAZQ3VRe1CiKcutEQVatuHbpocjLCImq0iZP+owMkBFPgJdtCKhicDLKKZEJ1NfXp36DmOHLly8yAwkBAmT11Ifa+l9c9YGmSAtVtaq1uItsJGBymyIt9f3ADI+VVGRklZ06deqnrDKntbpi5e7du3LbYhWUNx7w8dZbQRAbxxXfjZI7BM4S2bkRmafIIMD2xKsLJ8pPESysr3dHv88LNPU7McW59SJH3o81v9yfkdZQ267+khBCnAcanSj5x1h/8eJFtZQQQqwBP/z3339Xn9ylu7tbJoNATqW9Pdh+0ve+76K2//0Sk6g6PzHcGuu9cywYICMJB4PSH3/8IQcmODnI+ikoKFA/JWYx6thRYhCegdTT3SdClS2iMLv2l8GoILNWVJc3i66OHvXb8QEv2pHbYsYunr0l97GmpkatyRpe1CqDCD62B9viBIsWLZLXQCJAUPbgwYOyPBr7hFLMrKws9dP4gMAcvhvBRgSL44FRchrvfY0nFSrzcyA4Zt4w9hBCiJMgU97IEkYGBibCCCHELhDKnzZtmvrkLhi7kAziV61ks0BWpzi3TusbDmVemVhlgIwkjMzMTFkOBgcHL9TI8ElJSVE/JVYwujVFq2Pv7ekTXZ29orOjR/4/kVgV7EdaLrToli5dqtZgH+glIasMARQcN5Q1JiKrDMEkfL+TXXNQ5oh1JjJY09raKm7cuDE4s49z9uTJE/VTdzE6euJacbNpgQGyFvB9z58/V0uCx4CmYfTZv6EMwTVCCHGCq1evyjEXGbtB7xRMCIkPCFrhXcBt8O6B8SvopeCoFirJq9f6hNEMPmeiYYCMxJ2Ojg5x9OhROUAY5ZT4jOXEGghEbNiwQR5DZOL5DcwulBU0aAfIcKupaJGlchCFv3nzpvprZ4CDvXr1ankMoVWGTK7i4mL1U3dAejVmvfGdbgSFkba9bds29SmxvHv3Tqxbt07uKzpzImPObgagGQwtNwTf4fC4CYKq+K4gd9dtqke2Z5XlzLFIa26MT6krISSYQNB67ty5cszFS2ZPT3wz3wkhwQUTqm43WEJXdYxft2/fVkuCCbRqoTem8wXNWF56jXw/TCQMkJG4gmAAMsWMEizo9iCTjFgnPz9fCtIiqBPPTn1O0z+Oyrrz6ooWUZLfIHK+1YjC7DpRVdosNdTaWrrk7yGQhWsGpRVugKwypFiHZ5W5kRUEMXc0UUBw+NOnT2qpszx8+FDuQ2FhoVqSeBB0RIaj0ZkW3WvQedNpkLmGkm2kyuN8ugXGLezH3r171ZJgAjFVnQNj1XBvE0KIVSCajXEW4y0ms7zWNZkQ4n/g+7s52QmNaIxhSAgJOiiT1PmBVgyJEYmEATJiGpTElRc2yBemvG8hafnpIdnNDDozKNsbCmiKrV27Vg4Oo0aNksEBP2Y8eQWIokOzDXpTFRUVammwQTYQAkvxAIExBMhwvSIAiUALAmixgqDmf//9J0tD8H83wXd4MXjT1dUlmyzMmTNHHt+FCxfKgJ5TDTmOHDkiZs2aJe8Pt8YYvLChGcGKFSvUkmCCrkM6x8WuNdYzS5iQZAJZAOh6W5rf8JNhmZkMAWRawF/Ey+ujR4/UUkIIcQ5UqMAfdUtqBe9peJdAxU8yEEv2mGFoMNfZnrgsYQbISFQg4p6bHtJewJFWVtjwUykNXnrPnDkjBx5kdeBfpLAmssOd37ly5Yo8jhAhT5YunyhJHDlypKNaXWZwUqsMWX64BxDUDIVCaql73Lo10NDArYw7J8AxgVYYthPtrnGsy8vL1U/tgQYFRnATXT3dAIExBMji1Q48UdRVt2nHebuW6BlBQkh8gB8If1A3DoRbpM9okJ6eLpYsWSLH8cOHD4u2tjb1E0IIcZaysjI51mRkZKglzoFScEwEo+InWcax3G/2NWvDrbkhcZOqDJCRYTE6l1k1ODzIcpo6daocdGBoaZuamqrWTOxglBlcuHBBLUkOcC1hvxOZLReeVYaAmZWssqdPn8q/g+4Ygn3xoLe3V26nH9K5cV4RHEOQDMdpy5YttsuGob9mBN3c6BBk3IPJUBqOTI/sVP0Yb8dQNk0ICTbw/3T3/3BmBMmgq4qAGMZYBMgQKCOEEDeBv4kxxw19XOgBQ1rES5InbgJZHN0Yb8cSKdbPABkZErvBMcNWLFsnBwXojV2/fl2tldgBgzb02jCAJ6LbYqKBXlU8OhJGA1ppH99ki0d334kn9z+K10/TxdcPxfJ6Ryvj+pq2X0qNkfWG87Z//361JH5ATwHfXV9fr5Z4GwT1UG6J2TZsN8owUSaJskyzjB07VmZX4u/xsuUkxvFMlnvQiTT5cMP6CCHBxU5wzLBXLz7ISR2UVAZdxJokD+gcX1XW3O8j1kuJmtz0gewaZE9Cq2k4eRoSHyCejyZgEJd3EqOCCs2qkgVcz5Fju11L5KQqA2REC8oqY2nrb9jRIydFdXW1WiuxA4TMJ02aJLWrsrOz1dLkAUETBFrR2j1RtDR1ipI8lIuYuyfgDH3v+y47YuLheO7cObWm+IJ0brxs4CHtN3DdIzCK44d9gMB/tIy9lpYW+fsIkCEbzUmQQYh1X7x4US0JPlVlTY5mkCEjjRASTBAI0N33VuzUyXOBL10nyUFPd58IVbaaKjczfEaSGOAjQ7fXSYxmWU533vc60JbUXeN2LJE+IwNk5Bd6e/pETlr/gA7TXLBWDIM+sY8xwK5Zs0Y0NiZn9sWbN2/kMSgtLVVL4ktDLXSYqvrN2v3w+mmamDljjhSkTySnT5+WAab29na1xF8gexIBxr///lteB9AYG2o2Dins+B2UWM6dO1ctjR0EprHePXv2qCXJQU1lS/9zQH992zF0pSWEBBMI7+vueytGn5EEgb7e77KBme4aH8pQhdDRHh8JDvIzmFRdvny5+hQ7kBOCz4imUclGX9937fVtxxLpMzJARn4BNb/y4nQoc6C3/0FBrANNJgyw0ONIZnbt2iXmzZunPsUXZI7hGpYB44jr2qx1JLALC0B5Ja4jN9tXxwtouRnCzdOnT5czc+FllO/fv5c/W7lypdR7cwIcP8wsosQ52UDXSXkdO/QsSPS9QAhxD6sBgaGMPiPxOxXFTdpr24zxORl/li5dKnbv3q0+xQYaY6FUfO3atWpJ8oFyYt21bdUSeS8wQEZ+IT+ztv/CjD17zLBEiuz5kY6OjkGRcXQiTGagB4DOj5cuXVJL4gdm8vIyQiJLc01bMS/MiGMWCw/soHQ9hUA+srlwj6C76cGDB0V+fr7M1hs1apTsFoSSTCdAsO3ff/+NS+dRL1LikFB/YXatWiMhJGg4UV5pGH1G4mfQrVl3XZs1ZlHGn3/++UecP39efbIPJGHQqX7GjBlS8iNZaTImV2OwRPuMDJCRX5AXp4O6M8no7CDFFJ08ws0M6LoHYfI///xTfPjwQS1NXoyMoOLiYrUkflSWQodPf01btUTPCKJLZBADrg0NDTIzbvLkyXL/8C9KMVFSGr6vrc1dorrfaS3KrROFWbUiP6NWPnwR/MGDHJoJOvbt2yfX60brb7/QUNcmvn0qE6nvCrXXtllrrPNniS8hJDpB6VxGSCzA19Nd01aNWWTxA0Et+HkpKSlqyQDIZMVYhIAnxOLRVAGNhobzGaGb+/vvv4uCggK1JHnJTi/VXttmLdE+IwNk5BfkxckAmS3wUBtq9gjda9CxBtoEOt6+fStf7OfPn58wvS2vgSwhBAwTwUAm5a/n0Y55YUYQx9JpEVIv8fLlS5kl97///U86O9CUQGCsrNBcJ8bivHrR1vojkH3lyhW5nidPnqglwQUzncjAu3fvnuy2inJSXCvI3sQx+OOPseLvif+IHM1xM2O1Vc52EyWEeAsGyAhxRocPxiyy+FFVVSX9HDSGAmhkCe0rvLPpzo1h8Bk7wwKZZ8+eleuBbnKygCZ8OG6PHj2Sesdbt26V77BokjV79hxTDSp05gWfkQEy8gvyAmWAzDIVJeY0BxB4aW7oUH81wPXr1+XAisGlu5sinQbIpLtw4YL6FD862rq1586uoR4/0RgC9niQBRVo1a1YsULu57YtuywHdHL6H+ZN/ffmixcv5DoSce25BZodfPr0SXbh3LJlizxWEydOlLOd2NdIQ7AeGXnQfEMm3b07KdpjFs0qS5vUFhBCggoDZIQIUVqAbuf669qKecFnTBYQ4IHPA+0wNKlDpYHunOgsPyMk2lq7pV+Nddy4cUOtNRiguRcqm9AYC/t26NAh2TRu2rRpYsSIET/5jJhUXbVqlThw4IC4du2aeP36tXyXsqJNefncPVFa6A05DgbIyC/kZ4a0F65dg9Bz0Kkut16Oh+6IAPpJGFww+0B+gJd5HJdEpCrDQdedM7uGmSgvgADs7Nmz1afg8ddff8kUd1w3n97k9x97e7NXR4+cdEywNV5AuxClyCgTgOYcHBU4MQgyGw5MuMG5wSwftDLQGRRNQV69eiXKy8tFT4++vAMp71no6Gqis+WrJ99ETmb8S6MJIfHHSQ2yZPAZSTDRXc92zCs+YzIAnwk+EfwesxUH4YYsqcOHjsrgkR+pq6uTMiKoloAO286dO8XixYvlBGq4z4iKAnSHh0b2yZMnxf3798WXL1+khAvKVIeiu7tXlBVFP66f3uZIfxU+vBdggIz8AsoA5QXrQBYZRM6DTqjSfjDlyaM3cuB5/PixWhsxQNYKxNYTweA94JDhAeoFIG6P6w0ZUkEDASLs29Yt28To0WO058GKtbd5L5MTHTXhyCDjFE7MwoULpeYaGhMYTky4YTl+jt/D7+Pv8PdYj12gvYFAWWl+vchNq5ZZell4VvT/H9d52scisWfnEXHv3n31F4SQZKCkf0zQjaVWLBl8RhJcctOdaXDmFZ8xGUClAET67SQ6GIYsqe993uy+KwN/ZWUy6QCNrNDAasOGDWLWrFn9vvLon3xGHAdIbECSBc3Rnj9/LrKzs6Xeb6wgyxjvy8UqQw9jfWF2nSxVra1uFWvXrpNZaG1tA8kjiYYBMvILSDG1Wzccabjogww0jnT7bdZy+l8qM9Oz1dpIOOPHj09YVp0THVjCDU6TV1i3bp3sshM0SkpK5AN+1Yp1YurkadrzYMVQMh1v4Mgggwup6dBzQGYXMryQ6fXbb7/95MgYNnbsWJkphowxZI5hNhSZZAgYxhuUcWJbvTIDSAiJH05MLAXdZyTBJppulVnzks8YdBAMWrhgkfY8WLH6msQFdpqamkRubq7U4oV+7t69e8Xy5ctlB/Zwf9Ho8g7f8ujRo+L27duyIRz8587OTrW2+INgHLYPGWlegQEyoqW6zIikV/00AFg1pN0HGbO6Y8MZIurkZz5//iwHy7y8PLUkvsQa+Iy0RARbhgIPIBzboHVJNUpyF8xfKhYvXKE9D1YN14HTNDc3y+v67t27UhAfGl/Q+oLmF7Y/0qARhlR3aIZBOwwaYthXBKO8BoKvmAFsbeVLLiHJBrJLdeOoFQu6z0iCDbTDdNe1VfOSzxh0oFu7Yd1m7XmwYgiOIsHEDb5//y6bCXz9+lU8fPhwUBAffmGkjAaaVWESHI2qzp07JydN09PTRSjkzezc1NRUud3wbb0EA2RkSCqKGwdErm2WWjbWB7utPwZC3X5bNZYU/Ap02aZPn64+xR90pkF2X3aaM5mUXtNUQQo1Mo6CBPQQoKs17b+ZYvP6ndrzYNVClfYCPejs8/HjR+mcbNq0SXZihdMycuTInxwZwxAcQ2AJ5wVBM3STRFdJdJf0C8YMIILbhJDkpLmxUzuWmjH8LSF+Bt0ndde2VaMOX/yYOnWq2LPzsPY8WLVYxjCUFqKZ1tu3b38RxI+sIMA2r169Wr4rQToDnTPxt14pTzQLmgBgX7CfXoMBMjIsCJIhSGC1GxxS7YOOk0LuqM0mP0DGDGZIEklNhXF+Yw+SeW1WHA9gPGSNttZB4OrVq2LWzDliwbwl4vD+09rzYNWGarVuCOKjcxGcmJUrV4r//vtPljvqSiERuEMDAWg+QPsB1zbKKKOJm/oFzGpiP4PU9ZMQYg87QTIGx0gQgK/nhEQNMynjx4oVK8XJo5e158Gq1UUps6ytrdUK4mMCNdxnhC9pCOKjgdKDBw+kn4UsMmSTBQVkuSEDDpPKXoMBMhIVCBfmmAySvX+ZLT69z1B/GWwYIHMH42U7JydHLUkMKBfJc0BwFfePF5k/f77MbgoSZYXOtFg3LP1LkQy84SG+YMGCqIL4EDhFajucHswAoimCE+KmXsbLM4CEkMSAgFdJXvRyM/wOg2MkSCDzXHetmzW7mevEHqgY0Z0HO1ZWVCtKS0tlBUG4ID50vyJ9x0hBfOiHQUcMemLJAGRGcBy82jSMATJiCpQTIiCUl1GrDZShg0dpUbUUZ8YFj9poL0aEnYQBMnc4fPiwzMbxAoPnGOWWEefMjCFg41WePn0q79VEByKdpKrUmfIGw44ePDfozCAzDDNdSHdHajsETjELCGeoqyt5718EA706A0gISSzQcSzXtPjHMjc0HglJND3dffKdKPKaN2NVZdQeizdOaCcadv/Os0GfMVIQHwEzBM7QUbK723td0uMJdHhxjHBcvAoDZMRxEA1G5wwMDuiQEVQYIHMHzKqcPHlSfUo8TQ32OlqilXGPS4KdToEOiQhwBIWBslhndONgXz5mSQFRpMWTX/H6DCAhhBASb/p6v4uKYmtNvCBpQ+JPb/+50p0PW5ZRJEso6+rq1NqJDlRkwLwMA2TEFdAu9siRI/LlCR1CkDYaNFpbnOt02NcXnJpyPGwa69plANEwfMbyaHz79k1eMyhN8xLtrd2iMNtc++6inFq5v34AwvY43mjxHAScDFrDGLgeGj/MABJCCCGJ4oeW7dBWkt/AMuMEAkmv/MyQ9txYNfqM0TFiAwUFBWqJN2GAjLgK9KTQhhY3Azq6BY2iXHtp1OGGB2gQQKYVWlPr9tEw/By/NxSo1588ebL65C0Q4IMTg9KQ3PQa1eWyWv5bkFkryosbfBMYCwcZewcOHFCf/A3OEVptZ3+t+uXas2r5/ec0SGKoTuOHGUBCCCEkkXS090jx9tKCAY1U+Cj4P5oAsVulN6iriU03DkafMTrPnz+X8QB0avc6DJCRuAABQtwU6OL26dMntdT/oFunbqC0Ynh4+h2rmTv4fR0ozUWQjMQPiMnj3gyKhlR9qE1eY1Y770ZaqIpCuUNhzADm5+erJYQQQggh/gNVPHZ14wyjzzg8lZWV4o8//hC7du1SS7wNA2QkbhQXF8tOZ3ix2r9/v2hp8X/mFJoXxDKoQqPA79gta4sMkqGsEtdGenq6WkLiAcRCx40bJ06cOKGW+BtM4J07fVV8eVsg9u48or32oll1eTCyOt0AemO4T1GeSwghhBDid9Bo7tC+U1qfMJrRZ4wOmluhAVtHhz+yJhkgI3HnwYMHYuzYsWLChAmyC5zf6erstRUkQ4r1d59rj8Wq+RQeJEOABuV+JP5cuHBBjBgxIhDtpdEhaMyYMWL6tFkykHPlwn3ttTeUoQyY6PHbDCAhhBBCSDTOnj0rfcZbV59ofcOhjD5jdM6fPy+PbVpamlrifRggIwmhvr5evmThhtm4caOoqKhQP/EnVoNkJ49dEGfOnBVXrlyRnT4RNHz69Kl48+aNbAMMsfqcnBxRVFQkjw266CHjDs0PvMSA3pN+H81YYfaPTi9Tp06VpVsk/uDaGjlypHyIBYGXL1/KsWXGjFli7B9/itfP0rXXX7jlfKuROiFkaPw2A0gIIYQQYoZ169bJifrUDwVaPzHcoEVMnzE6nz9/lv745cuX1RJ/wAAZSSgICOGF67fffhPXr19XS/0JgmQQ3M/PGLobSkF2raipbBELFyyUYvTIokM2HbJ3MICYtdGjR4u//vpLDuTTpk0Tc+bMEYsXL5YdQ9evXy+2bt0qdu/eLQ4ePCiOHz8uGyRgcLp165YMxiFz7/Xr14PBuOzsbFFYWCiDcaFQSDQ3N8tg3HCCkxCk1+2jVWtt7pLfj/3y0+xC0Dh58qT4888/RVdXMLrwnDp1Svzvf/8Tf/89SSxauFTkfRv6vsQMYGeH/7UA3cSYAUTjFUIIIYSQIIHkjb///lusW7de1FW3idL8gcYK9Bntgcl3aEvjvdRvMEBGEk5vb68sr8PL15IlS6QWld8pLqwQG9ZvliWEhkVr/wstqLa2NjlAV1VViZKSEpGXlycyMjLEly9fxLt376T+z6NHj8SdO3dkQBGlcQgEHD58WOzbt0/s2LFDZuRB623ZsmVi/vz5YubMmWLKlCli4sSJtoJxo0aNkhpVCMYhmDl79myxaNEi8fVjvvbBYdXwoME+4KFEEgcCozjf165dU0v8DzKecN1jvzDGdLb3yPuwuaFTtLd2ie6uXinOSobHrzOAhBBCCCFmQeIA/B2joqKv93u/v9gtA2I93fQZrbBt2zaZzIH3C7/BABnxDAgEIfCCgQkBk76+PvUT/4HySC+/UPb09MhgXENDg+xeWFpaKoNxCE4awTiUqT1+/FjcvXtXBuMuXrwoTp8+LcsgEYz78rZQG/CyapihmT59ujh06JDaOpIocA4mTZqkPvkfPJSRpYmgLu7HZ8+eqZ8QsxgzgCg9IIQQQggJMnh3g8+IdyFiD1Qs4RiiWsmPMEBGZHS8palTVJU2i/zMkMj5Wi0tO61G6vJgWVlhgyyFiwfIYMFNhdJBPw9OhuBjQUGBWhIsdMEuO/byySd5nBCYI4kFAvc4F/fu3VNL/M+HDx/kPqEM+ffff5eZmcQ8mAEcP3681EEkhBADZOBCaqGiuFHkpdeI3PSQ1CUtyq2Lq89ICCFOs2XLFpn9hCQCYg0jSQQSP36FAbIkp72tWxRmmxdaryxtEh3t3eqv3QMv6hs2bJA32J49e2Smkx/BS/mqVavUp2Chuz7s2IG9R2WWD/EGaJ6B4HSQQPYjxhKUGiNLlZjD7zOAhBB3MKtBGi+fkRBCnKS1tVXKygT1Hc4toF09d+5cqYvtZxggS2KgxTOcoPxwhnrseJCSkiKzFyAe/vDhQ7XUP0DQGi+Y6FQZNHTXhR07fuSs2L9/v1qrt0FAub2tR86cD9O/wNeg1BbXLBo5BAlo80FLD/vGct7oGDOA0G4jhBCDUFWr9lk+nDFIRpIVNPAKss8YZNDEDH4QmlgRc8C/RuO9oqIitcSfMECWpCD1PSetRuvImDGk0WPAjwfoqAjNKwxSa9eu9V2J1NGjR6UwfmVlpVoSDEKVLdprw6o1NXSoNXoTlB+jXETeL6k/bzvaPJcVNgaulGTz5s1i3rx56lMwaGpqkp1jZ82aJccSPwbc40VQZgAJIc6Cpjrhz0CzVpJXP2xXbEKCBIJidTVtoiin7qf7AO9OLD/2F0Ym/fPnz9USMhSYWA+Kf80AWZKCATp80LZjpQUNcXV4oCWEjoy4+fzUTQ3dKVHatWnTJrUkGMAB0F0XVgxBp95ebzrN2D8r90l5UXACZenp6fI+C1ppnZHRieAf/s3NzVU/IeEEZQaQEOIczY2d2mefWasua1ZrIiS41IdYfhw0du/eLUaPHk0N22EoLy+XxwiySEGAAbIkpKm+Qw3Q9jPIDGuobVdrjR/opIiX2wULFsj0Vz/w9u1buc0oGQ0KENW/ff2h9rowa5iN9iJ4EchLt1d+nIh7wg3WrFkjli5dqj4Fhxs3bsh7EdoS6G6JADb5wdOnT+XxefDggVpCCCFClOTHPrHa1srMmWQG3dPRiCuI9PV9F5U2MiyZTeZ90Pkf/iKz6odmxYoVYsaMGYHxqRkgS0KKc+tlh0rdQG3VkDWTCKCPs2zZMvkid+zYMdHV5f0HzN69e6UGUmNjYo6ZE7S0tMh0Y5Rf4diPGjVKvHzyRXttRDOkniNLy2uYFR8ezoLg8Hz6NNBd9PPnz2pJcNixY4ec6UJXSzQlIAMYM4AYqwghxKBxcGI1NquuaFFrJMlEZmamlEqB3Aj8CviQQaM49+dySrMGqY6ONk7UeR1Dl5Uatr9y9uxZeWxQfRIUGCBLMjDDIQfltF8HaTuW+61GrTkxIFgzcuRIqS306tUrtdSbQAMJDQeQqus3kKmH7cYACEOAAcL6eJlGkCtSZyGaeTU4Buw6OeGWnxkSnR09ao3+ZcmSJTKTLGh0dnbKcu3p06fL6zmITTTsYMwA+mHCgRASP2oc0hzNz6xVayRBB9lid+7cEfPnz5fPWTxvr169KiZNmiRfqINErBOr0CYLgs8YdJBZj2v50aNHagmB/BGOSdAyQxkgSzIgrD8wIFf9NDjHYuiGmUiqqqrEli1bBgM3oVBI/cR7GOVLftB2iswWQ0Dh+vXrgxlwW7duFcuXL5f/R7BLZiZqro9IS3nwVpw/d0H+nddwInvMsLrqNrVW/4KgM859RkaGWhIcsrOz5b4ZemRBmvmyQxBnAAkhzlBVZk+cX2eJ9hmJu0Rmi8FXREY6qKmpkcvevXsnPwcFJyZWg+AzJgMHDx6U1zA6vic7SPxAwBtd4oMGA2RJBmYodANzLNbZ7o1Zj2fPnom///5bjBkzRty9e1ct9R4I5v3777+ezdLQZYulpqaqn/4AjQdOnTqlPg3Q3NApmzforhMsx8/RIRGZKl7ECSfHsNL8BrVWf4MAKa7ZIHLv3j15jSNrCppkra2t6ifJhTEDiNl9QgiJBHIauuecHYtXB3QSP4bKFquvr1e/MQAmh/Hzuro6tcT/ODWxGhSfMRlYtGiR9I17e5N7LMP73MSJE3+5z4MAA2RJBmbudANzLOYlZ6e9vV3Wh+MBvGrVKlFQUKB+4h2qq6ul9tHhw4fVksQTLVssEgyG+L03b96oJT/T3dkrrzXD8NkAThQ65HlNyHGw/NhB6/Noh04roLEEzrUX7yUnQKkwrsc///wzsIHA4cAM4D///BPIGUBCiDPg5V33jLNqiZblIM4yXLaYjpMnT8rJ1SDhVPkxLAg+YzJQXFwsNZiD0rHRDkbDKzShCyIMkCUhuTa78w1lXhzQ0WHRCPacP39eLfUOyHDDtmE7E4nZbLFIkB6P37dTzooHC/7WzPfEkx/lx85Ze6s/hFe/99/Cvf33MY4BMkK7IrQwkF3lR+08M3zv33nMemMfcV1euXJF/SQ5QFBwwoQJgZwBJIQ4Q32oTfuMs2rQHyX+ZqhsMTNZYWiutW3bNvUpGDhZfuwXn9EAE8s93X1SZqW9rVt87/+cLKBqCdd/MmrYIjCOfY+sIgoSDJAlIWhDnKUZmO0YdKe8DIJjuInnzJmT8GBUJBA/nzVrlvoUP4bKFmtoMJ/efebMGZl1YhfUrGMdXuJH+bFz+nxeF11FQKyypFHkpdcMdrbNSh3YdojGVpe3iObGzsGALrocGiCohs5LvT19aol/KSwslDPgxj0x3Ax4kDBmAIOmB0MIcZaOdmfkOarKmtUaid+wmi2mA1k3N2/eVJ+CgZPlx34R6m+obRMF2bUD2w2fUfmPsLLCRhlQT4amA8ePH5f3QjJpt6KsdPbs2YMa1EGFAbIkpLHOaNcdeyCgqb5DrdW7oDQM5ZYYxFB+idkvL1BUVCS36fTp02qJu9jNFtOxcuVKWXtuF3z34sWL1Sdv4Eb5cU+3N/UJQlUt/c6Neb216vJmqe93/PhJ0VjfLh3CnLBOuOhMVpJfL7U4/MqTJ0/kfYEHP/Y1SBopOpJhBpAQ4hyFxguxTUN5pVe7VxM9sWSLRQJfHOsIWtMfp8qPYV71GQECXuVFTf33sbkqJPiFrc3Bb8gBTeVp06Z55t3SbRAkh0xQaWmpWhJMGCBLQlBShAE9RzOgWbGyQn8JSkKQe/To0fLl9/nz52rpAI31HTJoYBhe9FFy5jZwNOAwZGVlqSXO4kS2mI6xY8fK9dgFLZKxPV57oDhefuzBdHPM4Ou2NZpdu3JfvHryTfuzcEOjA78Gyo4dOyavS5Qcrl27Vi0NHsYMIMpdCCHEDD8mV+1ZqDI5m6D4ESeyxSJ58OCBXJfX9GdjxanyY5gXfUaA0k9UFei2OZo11Pp34tQMlZWVYty4cfIeCTqPHz+W9zC0iYMOA2RJSldnj8jPQDDAXhYZZgL9ODNQW1srs5dwg9+4flPUVreKPHkc9PtZUdIkmhrczZJDJhU6ojiJk9likRiZb7GkFFdUVMh1oHuel0D5cfZXpIr/SBe3a8iy8hLd3b1DdhiNamHZYmatqrRJfbO/QNo4uszi+jx79qxaGizQmGDkyJGipKRELSGEkOiEqlq14300K8qtk1pFxLs4mS2mA4LmWHfQcKr82Gs+owHe9exMHodL+fi5usAMaFiGewb3S1CBvwi/Ef5jMsAAWRKDQQ8psFb1yJB95vc0+YcPnmj3bShDVplbIHsMA2us4uBuZYtFYswgdHTEFjicOnWqrN/3EsYMuRMafV4LICPjU7edblpdjf9SzhG8/eOPP6RuIa7zoTq1+hWjKynuY0IIsQomDnXj/VCGF3925/MuKHl0OltMBzR3IXMSRGItP4Z5MekAOrXDJRGYNTTn8Gp2nFOcO3dO3j+fP39WS4IFKg5QedDXlxwTHQyQJTkQ2Ebwx8wAmJlaJWoq3AsUxQuk++r2L5q5GSSDYD0GVmRnWcXNbDEdBw4ckEG4WIFD5sR6nATlxxAYRYAsKwaNPq/NBDY3xFYaE4vhu/3Gq1ev5L2EINmff/4pU+iDQLLNABJC3AEv83jO6cZ8w5B1EgSfMYi4nS0WSWtrq/yep0+fqiXBIlYfy6vZYzWVLdrttWN1NcEvsV6/fr1sYOZ0YkKigVYt7l+35IC8CANkRGIEykoLGmVWGUooc9IGrDivQRw6cEJs375T/bZ/wT7qBm6z5maQDJH51atXq0/Do8sWu3btWlwGZXwngmSxAh04bLvXHiS4F4rz6rXn34zhnvHaTGBJDPsTq6Gs048YQWs4O0Hp1mPMAEKDjBBCYgXPOgTB8IKPLBH4jphkgjRFPHRciTXilS0WydevX+X3lZWVqSXBA50ddT5QNPOqZA1E+XP6t023zXYsPzMku58Hmfr6eukzIlAWFNDlHPdu0LrPRoMBMmKK+/fvyxskFAqpJf6ksN+B0w3cZg1/7xZIy8UxxqzeUCCYFM9ssUhQVonvdaI8C9cS1oVsHa+BtHJopmSnWssiwwtCe5u3BGjheOm2NZ7m15JsCPVPnDhRXqcQ8PczxgwgxJcJIYQkD5HZYpD0iGen5suXL0sh86ADXWOdDzSUeVmyJuRg9phhmIAOOsa7HEou/Q4CfmhatWXLFrUkeWCAjJiivb1dlub4WYCwrcWZQAHW4xZHjhwRo0aNEtXV1fIzghslufWye0zet5C0F4++iE9vckVZca0M5MQTlHNi4C8uLlZLYgOZb17VpMBMF7oTYdZLdx1EGmbQezz48G9u7NRub1SzIcw/lLmZeekEuM+gP1dd0SIqS5pFVWmzLC2orqyVATJkXeG6f/LkifoLf2HMAN64cUMtIYQQEkTgF9ZWtcrgi2Gvnn4W69dtEu/ffVS/FV82bNgg1qxZoz4FG0ySRtPpQ/nxtSt3RE1Njfor72FVa9CMxfudxU0623uk79hU3yGle+DnYhlAABo+l981bDdu3Cgz4pqa/Nl0KxYYICOmQQeaGTNmqE/+o7qsWTtgWzWsxy06OzvF5MmTxeWL10V+Vq3IMdFNEeLrLY2dag3uAtF/CJg7xeHDhz1/TaFMJLz8eKD0uFrkfKsWBdm14vGDl+KfSZM9K3re2P/w1l03US1Vs8ym4Rr1ItANQQB6QG9Of69lfC4TZ09eFwsXLJKTBE4Fh+MFZgAR5Nu8ebNaQgghJGjgZR2TO7rnWLgh8BHvrKW///5bnD9/Xn1KDnA+hio/rqmpFdOmTRMLFiyIueGVW8QiNRJuOWH/72j3VoWFHRDkw3nFe0D4fhqGSfWq/vfETZs2y6xJv2rYIiEGQb4PHz6oJckFA2TENEb2ELQE/Ahm0XSDmVUr7n+hdpOstGL1XeZr/xG0cTOzzQAv2atWrVKfYsdojezlWTQzIAsO+/H+/Xu1xDvU19jTxXDSqsvdCyrbobu7VwbthguMRVrah2Ixdep/YuHChWot3ged486cPivmzpknQtXBEo0lhBAyAPw/+IG6Z5fOELCJV5AMAQL4Rx8/JiZ7zaugKRcCKJBy8CK56eavp2EtbLK1q2Mgw8qvYLI8z+Rx+fqhSEyd8p9YsWKF+mv/UFlZJRbMXyjOnj2rliQfDJARS6DUaNeuXeqTv3AqQIZyR7eoKB7ooBg+42LW8jNCokOl97oFUm0hXu4USNuF4+TX0rVwIHaLDCOvdXmxXWLpYAZZXU2b2hpvgMYBuu2MZin33svr9eLFi2pN3qOxvl3O/A6+LIWdRwjuYt9RThp0sVxCCEkGUNIH/88Y581avIJkL1++lM/NxkZvdmpMJGlpafLYePG9Surwaq4bu+bmu1M8QEagbr+Gs3s3Bq59VN94GYwDyHrDmBAeaEcpcGVJU1L6jAyQEUvgJsfNji6KfsOpAFle/4DhBgiO2QmMhZub2W2GqD70jJwEwrEo3/U73/ufHpgpQilBeXm5Wpp4UCKqu1bMmTMziAjSeQU4AbptNGs3r6T0Owvtam3eoaWpU5TkYYwzd84QKAuSHgghhCQbED0vzK7VjvFmzO2KCHD8+HHx33//qU8kEjSqgm+N4+QloKulu2asmiEVU13uv/dGA/hKCPBF7psZu33tqSd9RtDT3SdCla2y/Fe37eGWbD4jA2TEEtCzwUA+XKdFr+JUgOzjq1zZIhtaYUuWLJGZQ3iwQQAbM2XoEgeR/e5u87X2EHbEugdKvvTfa9aaG9wJRhjlkLgGnOTEiRNiypQp6pO/QUYcsixhzc3eKSsss5kx5YRBt80rnYuQHq/bRqtWnBu/7l9msFtGC4cvHqXZhBBCnMeJZ5pbPqMB/OSdO3eqT0THvXv3pH8NcXevgGCI7nqxasZ7jZcmSq0CHbnI/bJiXvMZAYJjyBjTbe9Qlkw+IwNkxDIICEFY0m+gzEt3w1u1j2/Txf3792VtNjKfVq5cKYXmIV6PB1y4oT3uvHnzZAefgwcPylbXKSkpUsettLRUtLUNlJ5B8HFg/bFn7CDK7wanTp1yJZAFXQocKy9lXcVCWVmZzCLziu7ArVu3xP59h7XXSnSL/XpE23OvUCKD5LHvE8wrM4LYDrlNqfaD60EQziWEkGQDE1C6Md2KueUzAmTWQ3ri9u3bagkZCkg3wBd++PChWpI48G4CveE3L75orxmrhsx9v4LyQ90+WTUvZZH19vbFlDSSDD4jA2TEMuhogUE8OztbLfEHTs2GGG18deChgsBXamqq1NVCQAwC7giQIVCGgJkRPDNs7NixIietsn/dzry4w7pd0JVYvny52LZtm/rkHOjgg+Pw4MEDtcT/IIsQTiGCyYnkwoUL8tiePn1aprfrrhU3zUvZY9gObJMTWZqwkjz3S1OiYVtfLsIqS5OvhTchhPgZ6ALpxnM75obPCHJzc6UP4rf3hURx5MgRebzevn2rlsQfyKmgGdFff/0l0tK+Wc4yijQ3A7DxwKnKAy/4jAaxZsQlg8/IAJnLICiDzCUMMAX9L4t530LS8H/U/qPdLzSC/AYyiRD48RvoXKe72c1aRXHsgwJKL1GCiSAKtAdu3rwp1+3UizvMjRTY0aNHy211A6Tgb9++XX0KBtBqg6OTqPvk2LFj8vvRqtkADzXd9TK89V+XNgX74Vh4heb+sRbbFKvOn2EQRU40g06OAw0VIEBLCPEGuB+hS4pZ/nDzq89InMepF3eYW2VTKB387bff+q9Z6l2aBb4wjllGRoZaEj9KSkrE9OnTxdSpU2WXTYAmEFY6pIYbhP69Mklql1gDhIZhPV4A97pu+6xa0H1GBshcoqWx03QwBgNPRUlT3FouO8H58+fFmDFjRE+Pv1r24rzYHuj7Bze3zhHW7+UAWWFhoQy2IKjnBufOnRMTJ05Un4LDo0eP5HHD/RJP9u7dK78XzmkkP8p5zViNKO9/SasPtVkq5cA9hm6KXsIQnHXyPku044c27E7tD55XhJDEUl3e3D/WDt+R0PAZk0kwmfyKHwJku3fvFosWLVKfiFkg3YKKE1SkxAtk+cEPR7VLTU2NWjoAmgChO7bu2tFZXkZI+o1B6HwIP0u3j1YN47oXcGrcCLrPyACZC+BBAwfG6ouLmwEYp6msrJQv4I8fP1ZL/APOj9WW2G6fG3yHlwNkKH/E+e7qcseJMlpdIxAXNJDBhX2LV2OLzZs3y+979uyZWvIruD6Q9q67dmBpH4rE1s27xMsXP9L8EQzCgzVaoAxOlFvOdizYadEdzTraEqfDgGOs2ya75pXZTUKSlaoyaxm+GGv9np1B7OOHABmykY4ePao+EbO0tLSIOXPmiJkzZ8rmT27z+fNnMWrUKKmdi+/WAT05aMrmDNHxMOfbgB9R2T+OBSnL1UpgcDhDXMALxKI9Fm5B9xkZIHOYjvYeGXyxG+zwU5Bs3bp1UpfKj+A8ocRVdw4iDb/n9jnB93g5QIaMpPnz56tPzoP0+yALuaJTJ4JWL168UEucxxBVRYdV6ASaAdcJSg+RXVXX7/hA08pwbP7888+fyjMNaqpD4tSJc+LLx2wpeo+AGay2qlWm4nuVzo6BTrFOWaKdHSdfjmDoTkQISQyhSnv3M2bxg5ClQazj9QAZOnlHm6wjQ1NRUSEmTZokli1bJoNTboHu+zhPGzduNFUKi/cnZJShSgBZYrgOh9Nm9jvI1tXdM1YNgTYvoNs2OxZ0n5EBMocxG3QZzrxyE0XDGFSLi4vVEv+B9tZDZdJgudvtrw3sOsc6c2PQmj17tutaWgjubNq0SX0KHig1wP2CBg5OEy6q6pRuxdKlS4dszT5u3Dgp/O8n+nq/a+8Xu1ZVmtiuTEbJqFOW+80bs5uEJBuDnWhtmp87xBH7GI1nYjW33jmQlQSfB4EeYo+srCzx+++/y8oAN0DHTJwj+KdEj1PvZwgkegGUv+q2z6oF3WdkgMxBEEzRXUR2zC/id6iRP3XqlPrkTxBcmDFjpkh5/EzOosHc6ugzFMhQk+feAbFtpwfh1tZW+QBFV043QcdPZC0FGWRdIrhUUFCglsQONCoiRVWdAAFRpPjrOH78uC8146DvI++TtF/vG6uGbLtEYnSwzEp1JvMUThMhJP6U5Mc+sUo9suSkukw902Iwt/RCL168KMaPH68+Ebu8f/9e+uAHDx5US5zh+vXrcr3onEmGBtUHQ5WVWjGvvNcXZpvXEx7Ogu4zMkDmIDITyYEABwwpnV7FCCLBDh86Ig4f9re+QEpKinxIIB08kaBjlRPXj9Nlbl+/fpXHx22xUMyU4XtycnLUkuDR2dkpM72mTZsmA7OxEi6qis6oTmJ0n9Kl9iNrFOfKzZJRN+jq7JGzXrEGyJCliYy0ROK0plpVErTtJsRrwI/S3Y9WDcF/knzEev3IZ1mfO88yTAjCSOxA7xk+FxpaOcHZs2cdXV/QqYkxi8zN+8wqTkzIwILuMzJA5hDIOJIXjUOz+TAvgaALMpNwk+u2FTccSn78OIuJlsqLFy9WnxIHjh1S3XM0x9es1de0qbU5x5UrV2TWUzz4448/tLpXQQKBsSlTpshrDgEzuxiiqtABHEpUNRZQqgkHaqisNIi5rl69Wn3yD9BKizUQ7YWZQJTXDDRMcKbDErToCCHxRU6Mae5HO0aSE/h9uuvBjLmZCY3sMWSREWe4du2a9Mli1epFxhjWgwwyYg68n8VSmuilqjCntAuD7jMyQOYQTs0ChptXsPrw9Ut5qAF0m86fP68+JRa89EJ0V3dcoxl0TNwAwp3xCoRs2LDBl0EXq6DEEsFA7K8drIqq2gFBN3zHUFliT58+lT+PZxtyp4B+mLxvbATKMBHgFQxHJ5agumE93SzRIiTeONVRDEaSFzs6dm4Gx6A7Bv/gy5cvaglxgpMnT8rj+vz5c7XEGrt27ZJ/D+0xYg2856MJn+5eGs685DOCH5Or+u01a0H3GRkgc4igBsjsPHRz02tEh4e72YWDcj48LDIzM9WSxIOKNojuIjPEzItvSV69q47O33//HbcA4o0bN2RWlJsde7wCHEdce+gQaoV4iqpOnjxZnDlzRn36FQSX/SbWb1BTgeAS7jFzGVjFuXWuBaHtAkfn6cOP/dsXWxZZnQuZp4SQ6DBARpwCfiCeU7prI9zc9hkBOlfCT0m0dEkQgc+IY2sl+IiJVEyo4u9evXqllhKrQC/a7JjtRZ/RINYsMq8F/dyAATKHcCNABp2fhoYG0dfXp74lvuABqtsuM4ZSzMOHj0gBf+yDV/GyMDxSegdExfWBMmSauZ2tV1VVJR+oHz58UEvcJT8/X35fenq6WhJsMAuI/TXb6CLeoqrQD1m/fr369CsnTpzwpVi/AZyEkrwBZ2eoYHRRTq3nnJyamhpx4cIFGcDctnXnwLbaLO9HiRchJDEwQEacpqmhQ8p1RF4f5UWNcavwOHr0qGweRNwB1Qdjx46VPnM0EKSEFMfo0aOlNAeJDejPYoK1KEcfjPZyYMwAk6vFufa0yNDVMxlggMwhEMzQXUh27ePrPPkibBhq+WfOnCl1f6CZhYcPtKEePXokgxe5ublSpDsWTaNIMMuk2zazdvjgCTFmzBgp9I204Lq6OrVm77Bs2TKxZcsW9YlEgpkmXH/xDHLiWsfLfxDB7BOCMnBg21u7ZYoy9CRwjKPpQSRCVBXZYdBLGwrok2Gb/CbWHwmcBegphCpbZfYmdMpamzo9p6mIGeOtW7fKYw5n9/DhwyIvL0++9GBSIuurtSAZHDmvCMcSkoxUljRp702rhpIZQrzCokWLZDkfcYeuri6pY4vu5ZgwGwq8F86dO1dOZKKpE3EW+PTIpkJADIkyXvMZhwOVOgOVFPpnis6SaUKVATIHweyMU4LJJQU1svwPwS90L4FwOYJiCI6tXLlSzJ49W0yYMEG+KEUaglIYNPGAQkrtgQMH5Ev1nTt3ZMAD2TllZWXDpj7jhUu3XVatqbFFBjsw04FtO378uCPd+5ygra1NbtODBw/UEhIJMoTQcTGeIACAwGVQQLVofahtyM4xCFIcP3pKXovoqKojUaKqRoYb7pWhwHi0Zs0a9Yk4DbTgbt68Kcd8nAt0LEWH0cjJEDhmA88gXFfDP4e8mBVHSDLS0d6jvUetGoL6hHgBlPPhWYXnFHGP2tpa6Z+jM3pHx6+C6YWFhXKCE5l8JSUlaikhP9PQ7wsO1YDPsJL8BtfLsr0GA2QO8iOoFHuQDF0jzYAIMLJ7kMnx9etXmclx69YtmfmBOnWURy1YsECW4kDbCQ+tcBsxYoTUmJozZ458ycWMD4IiaZ/ztdtl1RCdBu3t7bKbDcoZ8b3Hjh0bdtYjHrx9+1ZuC8oIiZ4lS5aIHTt2qE/xAU4VzouT2ZCJAkGLsgJzJTRbNw2Ip0aWs0JrDMsTIaoKBwvfnZWVpZb8iqE14kexfi+D2d59+/bJDFwcX4zNaWlp6qdDM5AN1ynKCxtFYXatzCyB84NygMqSRgbGCPEYZf33qu6ZYMXM+oyEuA2eXXhmIbuZuAt8NHSZhxxGOEiEQDUGgmcIpBESDWiH11W3ybJ/TLaimRXe4Rvrk7PDOQNkDoNsEKtlLpEG7QC3QCYIusvghRcBImRPIXCFUh2UGiJzB7MN3z6VabfNquFGCwdBD+h+QdwbD1BkxiQqQHXo0CFZthpUjJJWpP2WD3bG/PXaRMnfUN1IRo4cGXNLaatgpgvXxnBaCdgnbPfgQF7WJGoqvTWQt/ZvY36mtY43K5auFb///rt0ML0gqmrMBEfLssT9bFZHjQwNjjfK5hGYxnH/77//ZPawl3UcCSGx0VhvvRlSuLnpM5LkBBMtKB3T+TDD+YwAPiN8x2RotuQFkBwBf8EoaX3//r08/qtWrRo2+58QMjQMkDkM6pExU283SIa/xToSjW7b7FhkgMwA9fPQUMMMBwZ2BKsQuIsnSE1G2WrQQBYhsgE3btg8IACcOrQAebihIUC4P4PZP5yb4bKH3OKff/7RdkdEGUm0NsteSAVG5liejXbQWalVYt6cRVIvAiXS0JlKdJv0WbNmyQD6cKB02s9i/YkGQWFk7hoZtgiMvnv3Tv2UEBJ0EHTQPROimVd8RuJv4H9DimXSpEni1fOPIvdb9EqYSJ/RYOfOnWLp0qXqE4kHL1++lL7D2rVr5b+bN29WPyGE2IEBMhewGyTzkqOj2z47NlSAzKCnp0fqKuHlGoM69NLKy8vVT90DGmz4vnh1Z3QbvGAjg8fQpVu2dLk4e/J6/zmwdg2WFjSI3t4BjweljijvQlZLvMFMGFLDwxno6Knfbp1B/DhRIJtNt01m7NObfDH53yn998TfCQlORrJt27aomnCGWD+cNGIeZAYimI1jh3sXQeF4TxQQQryB1SAZg2MkVvAMQnkenkGYoNm1Y79Iufdee73pLNxnNEDmMybNSHy5e/eu9Jshr0MIiQ0GyFwCTgtKv8wGyfC7XnJ0dNtox6IFyAz6+vqkEDVmr/CghvaOm5pGeJDge/yucwX9J6RRY1+QjYcslPRvOfLYm8ka0xnKNZABBe0rZDElAojVY58gUA4qbHb6gjh+vOns6BE5JmZfh7PM1EpRXemNshmjJDoaFOs3B5qUoKwdupC4xtGZ+OnTp+qnhJBkBkEy6Abqngvh5jWfkfgH+NaYjIH+sPEMevLkiSgrtNe53vAZAeQAsE5OlhFC/AwDZC4j9Z/6HRndQwV2+vhVcfHCVfXb3gGtXHXba9XqaqwFKKBZgCYDKLHDQxYzIcXFxeqnzoESJgSW/AhEOTE7Z+i4rV69WnYbBHCYdefBquGanTFjhtSISwTQpcO+ocwMOhi6bTRruAfjSSiG7LFwqyobustsPEGWJc5FtO6zFOsfHmjqoUMrjhEapqCsPD8/X/2UEEIG+N73XdT3+046OQE8F9D5khCrwE+Ev4hnECZU4UfCnwRWM/QjDT4j+Pjxo1w/m18RQvwMA2QJZPHixWL+/Pnqk7dAUEH3ELRqxqySHe7cuTOYZYFsJpRxOcWYMWPEtWvX1Cfvgww7ZFUtX75cHg/M/GEGMDIYgYCk7jzYsenTZg8G3hIBNOKOHDkqCrPrtNtn1opyB5oVxAuUduq2w6qh86AXMIKVwzVNMIDTTbH+H7S2tsqA/+zZs+UxxHiP7FVdS3ZCCCHESeA3o7LA0PtFpjcmsyKx2lBIZwjcnj9/XvqnhBDiZxggSxAIbuBhlZOTo5Z4DynwrnkImrWyQmc6r0ELa+rUqfJ4QfyzoKBA/cQeaWlpcl1+aEGNDBM0Ehg7dqzcZmhFDNfREJokEOXXnQ+rhuzGeOjBDQX06GZMn6ndNqsWzywyNAnQbYNVg0iuV/jjjz+kVmA04IhDSyvZgXYcysRHjBgxOG59+/ZN/ZQQQghxB1RioGQSpZN4/uCZfPLkSalVqwNNjXQ+iFVDdqNsELVxo1ozIYT4EwbIEoCRgnzjxg21xJvE+tB0upPg/fv3pfgnjt2OHTtslyedOXPG0zNc3d3d4tGjR7ILEPYV5aZnz56NKt49WF6Zaq+Dqs4SCUprS/LsaWJEWnUcyxXN6MeYMZTXeAVkuyKLMxo4Z7hm0Uk12UCW5+PHj8WSJUvkMUAGJDr11td7Q0uOEEJIcEG5JCZUjW7ICFaZeRY7JakCGzdunNQtJYQQP8MAWZxpa2uTZYMbNmxQS7yN3SCZ08GxcB4+fCimT58uHQB02MvNzVU/MceCBQtkl0Svgf2ALhHKP7FvuEbevHmjfhodp8piwy3RxFpeaVheevyCTU4FyJAN6BWQzTd37lz1aXiSTawfs/LQcsGLgXHfQjuPEEIIcRN0GQ+X30CjK0wCo1O7WWKtFjHs+eNUuQ2pqalqzYQQ4k8YIIszKLXBi1Q0wWsvYTVI5mZwLBxkWc2cOVM+kLds2SLLmqJhdNjxStc4dNF88OCBzNDBdk2ZMkVqOFRWVqrfME8QA2Q6kWI7hqBVvKitatVug1Uz2wE2HkAPEOWCZjDE+ocq5wgKr1+/FmvXrpX7ihIWlM0nsiSZEEJIcgCJEDRRMuQ31q9fL59JdnAqQHbu1A25LUgEIIQQP8MAWRxB5hMeHn4sP4L4JvQFdA9FWG56jaipaBGdCeiuhNkzQwR78+bNIjMzU/1kgMb6DlFV3iyK8+tE2ucC8ejea1GUXy1am+Pb3TAcBPOQlYNudtjuTZs2xZx1EsQAWU5ajXa7rBp0weJFe1u3dhusWmNdu1pj4oF+Fq5Ts0EvdFgNolg/JjYuXrw42DwEs/ZeCbYTQghxBkhWhKpafrJE+oygq6tLvkcYZfx4DmFCNZr8RjScCpBtWr9TzJo1S62VEEL8CwNkcQLdBkeOHCkOHjyolviT3t7v4tTJ82LlitWipLBGOg1eeZHHiyrKwOA43Lp5W9RWt4rc9JDIGkaTKy8jJDN+4Ay5TXt7u+xghxJPbCP01C5duiRqapwRY0fHUN0+2rXc9MQHyEryndEgqyyNnwYZKI5RO604zp03o9HU1CSv2eEaRIQTNLH+L1++yHJuHAMEtVEK7YcmH4QQQsyDCgg0mNI9l2HoLh0vn9EgOztbvjuMHj1aPoMggv/27Vv109hxqvP2yyepUoeTEEL8DgNkcQLdZDCzAr0AvwN9AWSIzJkzRwb+vMb9u4/lwzor4uE9nEHvyS2HJyMjQ+zdu3ewo93WrVtlowY3KC+C2KozWVcNtYkPfNbVtGm3zaohkBtPkM0XS/abl7LHDNAs4ty5c+rT8ARBrL+1tVXcunVLjtvYl3nz5skAd0dHh/oNQgghQcGKWL2bPiPAcwYd3BcuXCifP5DfQPZydbXzE5eoENHto1Xzgs9ICCFOwABZHEAKNB5w6enpaon/gQAosrUQKPOSIKfdpgIwJx2elpYWcfv27cGMNjQVuHr1qqirczczCCUAA/sTW5As91uN6O3pU2tNHO2tsZcrYsYXmY/xprG+Xbs90awqztluZrHavn3VqlVi9erV6pN/wGz9/v37BwPa6JiblpamfkoIISRo2Onk6EaQDBIh+/btkxUneP5ANuTDhw/qp+5RVhhbJ0uv+IyEEOIEDJC5zNevX+VDLohtj1EyCGFQ7J8X0qqN4FhOxIPbisHh6YnhIY8X6d27d8tjAtu+fbssz4onKM/L+jp0WakZqy7zTpBmuHIHM1YfSpxgLDLXrHS1jHemmxVOnjwpy4LN8vz5c3kP+EGsv6+vT45hhrYL9vPKlSuivr5e/QYhhJAgYic4ZlisPiOAqD2yk5GljOfPtGnT5DtDbW38mgvZndAzzEs+IyGExAoDZC4CQU1kDvkxi8IK0OPBQx3p34lECo2m6h/eVqyuulWt0RzQZ7px48ZgowCUZF2/fl12zEwEaJSA7o92g2RwFr0EtNWQBabb1mhWlFsnvsc/eewnMKtqBMpS7n34ZRsx81pR3CSaGrxduvfkyRN5fVspMUSGKQJrXgXBO+ilobMw9g0B/1ibZRBCCPEHzf3P3chnslWz6jMaoKoE8hu//fabfP5A5/LTp0/qp/EHjbZ0+xfNvOYzEkJIrDBA5iIo04GoZjK0/ke2BR7w2OdE4FTnQFhhtrkySJSW7ty5U+43DP/3SrlpW2u3DLxYDZJ51dGx06ETQvkIrnmF+/cfiIkTJ4qMtBzRUNsmm0i09u9XogN4ZsnPz5fXeU5OjloSHa+K9aMd/tq1a+X+YPtOnz6dFOM0IYSQHwzotup9CLNm1mcEzc3NUtvSkN+YOXOmuHbtmuvyG2YZrlu9zhgcI4QEEQbIHAIv4uhsgywmwx7dfSlu37qnfiP4oIskHvjImIMGV7zAy251ebO4d/Ol9gFux4Zq542sMDgzcGqwr2hUcPPmTZlF5jVamjpFaUGDCpINr0kmu3nanAWNFwiCmi2FgJ6G1/Qw4BijhGLq1KmiqqpKLfUPPT098pp/9OiRWqIHYyHOVVdnjygsKJR/4wWx/lAoJLNc0Rof27Rs2TKZFUcIIST5yM7O0foPdmwon9EAciu7du2Szx4YtC3jLb9hFvjT+Zkh7X4aJrt5etxnJIQQuzBAFiN4KEJUW/cAMQwPEnTj++6XVJEY+Pbtm8ySQQAJnezcBh19UB41Y/pAp7kr5+9pz4FVi9SC+vz5s0x/x3cgHX7Pnj1yX/0ARGSxP3dvPBO56TUi71tIWkFmrSjJrRfNDZ3qN/0BtOZK8urFkwcffzpnuekh2a68sa7Ds/caNEVmzJghy3ETVYIbC7ivjx49qj79AOMgyjOgxxJ+TmAvU77KWWl0ykoEeAkx7t1Ro0bJkvC8vDz1U0IIIckGJkvwTLh19ckvzyw7ptMPbWxslHIbRidkPPchx4HlfgC+FiYlwyf+YX7zGQkhxCoMkMWA1Y6JXsxqcZK+vu+yFC4/r1jMnTtPzJ+/QPT2ulvihk55//zzj3Q+dm47qD3udgzODoIZKB2FYCrWP3/+fHHnzh3R2uq/WbOioiKBcl+UgQYBNENAl6czp89KzTVcd34BHWD//fdfsWjRIinO6ye2bt0qVqxYoT4N0FRvXsMFgTI3W+Mb4LiijMXQBUQ5C+5dNBYhhBCSvEDnC8+Fs2fOa59Tdiw8QIZJGTRownfA0LiJnZAJIcQ/MEBmE6vBMcO8povkBMgMiRT3TPtYKl4//Sb3F91xEDxzmjNnzoj//e9/MkC2aMFSRwT6Dbtx9YF0bBCEga4aWm/7nVevXsl9CkpHVZS6Yn9evnyplviHgoICKWC/cuVK14PITnLp0qWfNMXQIVR3/wxnJfn1rumuZWdny/vVaJGPgDBfTAghhABkbk+aNEls3LjRlrbpUJabVSKuXr0qG3Ph2YNJGUzSxFNuhBBCiDMwQGYDlBPpHpBmrTi3Xq3J/5jVhEKZKYKKTvH27VvphEDTaezYseLzu2xHA2Tnz1wX9+/fD1zGiVFW8ObNG7XE30DTA2VzyJDzGwi6YtvROdEvoMMjrh8ICjfW2W8Lj0wyp0A5bUpKiliyZIncNmi8IQjsFdFjQggh3gCBMQTIEChzMkC2Z9d+MWLECNmVEt0pCSGE+BcGyGxgtcuLzoJQw282OBZuTgTJILY9fvx4KZCPF2JkEA2+rKcNL0Zv1oKW5RcOUv/HjBkjSkpK1BL/guwrlL5itra7u1st9Q8oxcA1jHPiByoqKuT2Yrt1emNWTKfZYoXS0lLZJRMahNimDRs2yAAeIYQQEgkyoPGs+Pjxo1oiRH5mrfb5ZNWyMnN8Kb9BCCH/v703e46qWv///TNya9W5+Fl1Lj7nTi4PVefiUHUuPlZZ9fni4SgiHhEnDCgIqGBExQCCARXCIBomDXMAQSaBMBrmJJCRBJKQkAEC6UCA9ev36r06nc7q7r137+49vV9VT0F20rv3vJ79Xs9ARkOBzAZ1V7IXYdBd0M/YEceUZSuSffnll2LKlCnS0cELMkAKJ4q012q+z6qh6UKQefjwoRSUICz5Kb0vFWgGgfpq6ArlR1RUFmae/QCO9ZZNW7X3jhVrabD3DET041dffSWPGYTysrIyWdeNEEII0YFGSxgzfvnlF2NJDDTQ0o1PVizoPiMhhIQNCmQWsVt7TGeP8lCsOhegtbNuf8wa0i3tdhncsmWLdHLefvttMW/ePGNpjK52VQctOwHzwX3/RSJZpampSab3IUUxCKj6amiq4Ef++OMPuf1r1641lniXrVu3id3bD2nvHatmtmkJGmYgPRj3PY4T7v2jR48avyWEEEL03L17V44dmFhJBtkC17PMPAiDz0gIIWGCAplFkBakGyDtmJ867yUCgUu3P1YMhfutcu7cOflyjLpjiGK5deuW8ZsY6I6XddpXe3hC5I8fP+5rUSkZJZ76Nc3u999/l9u/YcMGY4k3wQuF7t6xY/d6I8Za9Vy8eDHeDWzChAmitLRU1NXVGb8lhBBC0rN48WLZXAYTLTq6s5j0DZPPSAghYYECmUXCLpChdppuX6ya1RRTFNx+44034nXHjh07ZvxmJNmIZB037xprCQ9+F5WS+eabb8SkSZNkrSw/gq5XOB+oleJVMFuuu3/sGNJbknnw4IHYs2eP+OCDD+SxQDrw3r17RSSSXkwjhBBCEkFnSTM+Tu8d601nwugzEkJIGKBAZhEnBbKOti5jrf6htaFXuy92zAro9IcZQDg6P/74o7FUD0QydAqNfY+50HnUVAsrEJUmTpwYiDpOEFGmT58uOxr6FXRgxHW+a9cuY4m36OuOaO8hO4aXEsX169fFqlWrxL///W+5/6gpd+nSJeO3hBBCiHkwfmAs2bRpk7EkPXd7I6aL9ofZZySEkKBDgcwiTgpkc+d8LGe3/IQbAhlqD8HJeeeddywJH4h2QyHw2ksd0e/TC2VtLXd9m+rqFIODgzJaZ86cOcaS1Dx+/FTW4UMnV6TaonZHQ3WXjNrDsUY3UbdBCh6ul5UrVxpL/MfGjRvlPuzfv99Y4h3iHWMdsLs9A+Lw4cPi008/lfv77rvvSoEQEaOEEEKIHdBREj7jF198YSwxB3wc+PmphLL2VvqMhBASdCiQWQRFpXWDplVrruuWtYbwUjh79mxx+fJl4xu8Tb4FMrTjxjFC3TEUlW9paTF+Yx40Q4BD09P5IG74+UnUESIxGhsbxUsvvSRWrFhhLBnNwINHoula5tnVG9Fr222h7MiRI/K6QaqeX0GkJPbBa8Xo8QKhO+92TEWFIkL09OnTxjcQQggh9kFk/OTJk0VnZ6exxDrwExONPiMhhIQDCmQ2uH3znvZlz4qpIvWIdpk/f758SUQHO0Tz2AWRPTfqVf0tRE0Nf199dZe403FfihzZkE+BrLe3V0ydOjVeiwiiB8kdqOuG46yLaoRziEgx3XlMZR2t7tbnKCsrk/uDQu9+5YcffpD7cOrUKWOJN0Dkpe6cWzFEIJb9XBaI1F5CCPEjKEkx3AF82BBB5YTP6AY7d+705LhJCCHEH1Ags8H+334f5UxYMbwYPnkyciYKkS6IkIIghO6CVrhz+34ssufibXFd833JdqO+RzpFdoDDpFunVUMEXSaKi4vF66+/Lh0diIck92zevFke77NnzxpLhLh/76HtNui6Iuz5BG3d33zzTdHV5b96fwrU4sI5OX/+vLHEXfCsWlS8WGzdvE97zs0aIjkJIYTkH3QjRh0t3bM52eAz4u/9wJUrV+R46fVu0IQQQrwLBTKLqALa28p3ax0JM4ZILx0IBV+2bJlcP8LD29vbjd+kxk7nHRhqRtkRyeAk6dZn1RKLc+tQxxk1iebOnWssJflgyZIlshPkrVu35M83m7KLGrzX6173wb6+PlmHpKioyFjiTyAWT5gwQVy9etVYkn9OnDghZsyYIe9LpEZ+9UWx9nybMTx/niZNEhBCCMk9KBUC0Uv3bE5lLdG/R3q9lxkYGBDTpk0Tn3/+ubGEEEIIsQ4FMgtUVFTIl0OINwAtnnWORDpLJY4lcvLkSflSj25u6TrZ3e3JrpvchTMN4vSpc5ZrNHS0Zp9imm428sKFC/I4o+4Y6mI1NzcbvyH5QHWC/Pjjj7O+xmC3mt3t9gRRCdfTunXrjCX+BE7/a6+9JhoaGowl+QEz8hAYcQwXLVokvx8pLHg+NdZajyysu9op+u/aTyUnhBBij6dP7U96YSx/ihV4FERbY3LPzOQyIYQQkgoKZCb5/fff5QsiusslYjZEHbNvZsQxxdDQkFi/fr38TnRurK2tNX4TIzIwpP0eq1a+eZ/8DqShLV68WOzYsUMKCulqoSHlTrcus5auPfbdu3fFW2+9Fa87hg53JP/U19fLa+LA3hPac2jF6q50SqfcTX777Td5PR04cMBY4j8gXEK0RBp2a2ursTR3oDaYSu9EFGdVVZXxGyFfQOT9eeiIpZctRC0MRp9dhBBC8g86UOuezWYNJT28iJrArqysNJYQQggh9qBAZgJVvDxVHSxZ5LSjX6YNJTsTmHGDoGSX6upq+XKK7//555/F48exyKtsnZy4Xb4tzp39U2zatElGiUycOFF+F+yjjz4Sq1evll30kgtpQ+zTri+DpRPHAEQ6RMng+/HdxD3a20c2esjGsrkHnGLNmjXyuqqpqTGW+A8IyDNnzhTvv/9+Vt250tHf3y9++ukneawQyXro0CHjNyOZN2+eTP0ESKPFJIDu3MMaarrE7Vv32AWMEEJcwokSGaih6zUwpmO8go9MCCGEZAsFsgycOXNGDrzfffedscQdENk1fvx48d5774nKypNax8WuJdcDQ0ojIubQQU/VHIKhYD6KnpeXl8s0yI620YJgOsskjqF7Ir4H+zh79mxjKXGLgfuPtOfRjnll1vmzzz6T19e9e/eMJf7j9u3bch8glEEwcxKkTr766qvilVde0XYzTWTv3r3yfr1/f/jcInWy984D0dnWL+93mBfEUUIICTuYpNCNz1btXq93UuQfPnwoCgsL5dhOCCGEOAEFsjRcunRJvgCiYL4XaGtrkxFWa9f8pHVa7FprQ6/xDXrwAgxBDMIYBDLVWRJWWDhdLFn8rdi4fps4eqBKu/6Whh7R05W+Y5061ohaw7+NjY3Gb4hb3O3Nvv6YMogmXgDi0htvvCG+/vprY4k/QYolUmA//fTTtOnQZjly5IgU3XDv/fjjj6aEt+7ubvn3qSLMCCGEeAfd2GzHMvmM+WT58uUy8wH+MSGEEOIEFMhScO3aNRlFAUHIayCdU+e02DU7zg5SLpF6iTRIJWq99tpkuW2JZqZTJgQ4dKtUdccQvUbcx8nrDMX+vcL58+fldZZcT9BvoE4c0pEXLFhgu3AyhG/UOMTxQAfdlpYW4zfmQOOAL7/80viJEEKIV9GNzXbMKwKZimI+fvy4sYQQQgjJHgpkGpBi+N///lfMnz9fPHr0yFjqHZwULmBOODuIYkFxfzssXbpUdh5CV7yVK1caS4nbOFGvRJnXuhbu3r1bOtZ//PGHscSf4J7DfaNqgZmlqalJLFmyRB4DPOcuX75s/MYaaHqAdfT2eieigBBCyGh0Y7Md84JAhsZVGHvQzIoQQghxEgpkSaA7GwpTIyoKxaq9iBcFMrvs2rVLOjkoOo6aSl5uIR5Gbjaa71CYyq5fvu3JzoXff/+9eOmll2Qklp9Bd0ncQyUlJcaS1PT09MSbFaBuCxqQZANSMbEudAklhBDiXXTjsx1zWyDDxDUyDlBigBBCCHEaCmQJIAoCRenx4njnjvc69Sj6elRtKGe6DLa1pC+enyuuXLkiX65ViqbfhQor4Bx23LonbjR0xw0FdL1W0BwNHHTXjBVDwXavgg6xcLSdqOPlJqdOnZL3UGIEJkRJiOl/nropKo80i2NHrojXXn1HvD55ioygc4qFCxeyQDIhhHgcdBPWjdFWzS2fUYHJrf/85z+yFmeYUB3zE41NcIiTDA09EVcvdoizla2irrZL3G7vF4MR701wE5JrKJAZRCIR8fHHH4u33npL3Lp1y1jqXeqrnXF0YA/68z/ADgwMiGnTponp06fLF/v9+/cbvwkucG7QzbHuapeojQ5AunMBq7va6RmxDBF9mC3WbacZq4/uC1I1vQpq6aHAL9J8/Q4K7SP69WJVrag81CQ2lP4pFn58WHw+6/dR9tvOWnGn05nOovhe3MOdnZ3GEkIIIV7DiQkvmBs+owLRyhhvUAM3LNzrGxQ3m1L7YY21d8Sdjvumav4SouNSVZvYuuGS+GruoZz7jIT4AQpkUSACoNj05MmTfdM9EUILBsbrSQOlVWuu6zbWmF++/fZbKUygfhJmA4NOX491x/T65U5XHVHFw8Eh0WBTkMUMp9dR0Ve//vqrscSfQFA9c6JabN94WevgJNvXnx4RR/c3GJ+2D8RuHD8no9IIIYQ4y+OhJ6LuSqd2rDZrbvmMoK6uTo4169atM5YEmyePn4pbzX3a86Cz5uvdFMmIZfZur9X6iMlWPM8Zn5EQP0CBLAoKXCNcu7q62ljifW40t4qSpavEjl9+F7/tOqEdLM2YGwJGRUWFdHJQdwzpbUNDwQ7fzWbWFsLUwAP3G0VAfLEStQhxD6KgXygvL5fXJMQylcZwo65HOpywm1EntbvzgWfTGXCNXTx9U6xdfkbr2KSzXb/aa66RCAr+oxsmIYQQ7/LbnsPiyP5z2nHbjLk16fXkyRNZpxaZHmFg6NFjW9H7FMncA5F+bTf6RFvLXXmfoHv7g/vea/SmuNsbERtWV2n9wnSGaDJCgk7oBTJEMuHF+Pz588YSf6CK27/z9nvii6Ji7UCZydxwdGpqauR2z5o1S/577do14zfBBMdYd+ytWNO1O7IugNsgVbKzvV9czzADfe5kjThz6k/jU/5h8aIl4ocVa2P7cXn0fimDcHYv6lh4BYh22K61JdbFMWUHdl831mYPtNnH/dzW1mYsIYQQ4jXefvttUbLsu1HjmhlzSxwDP/zwg8w4uHHjhrEkuMDfg9ClOwdmDJ/1gs8YBhDlh5Io6er7IQrQi5OrW9Zf1PqDZuzM8RZjLYQEk1ALZChojZc6RI34jfv370tn4YsFX8p9OHOsVvtg1tnFs81i9879oqmpKa/FyR8+fChrjqEJArZ57969xm+CSxOcnIv682DFum97J/cfBTu7Ou7LWbKW+h4Z5dZQE6uBgWi3BQsWyMhAP4HosCtVN9MKY8mGmiCY5XUbOF9H9tZrnRgrdvSA/dB5dBVDFO62bduMJd4GM724XlFsGnU14Lx64VwSQkgu2bp1q+zefKNRP67p7Mzxa+LAb0ekOAU/Lt8cOHBA+oyHDx82lgSb3u7sa8V5yWcMKvCFWxp6tMdfZ/DVvOJn1NV0af1AK1Zf691mdrlAZZcg8m7g/iP6jAEntALZ+vXr5YDr50Kfq1evlk0FXnnlFbF29c/aB3KyHTt0Xsz7+HO578rw+XfffVfWYcNxOXnyZE4iQVasWCFefvllacuXLzeWBhfUD5PH3YLoksqarrlX98MqcKJxXf3888/GEm/T0XpXpoTqjnsmu9nobrt7J6LHlK3/4ZyxVnuUlJTIyFCvgmPVcfNe9FxHz12Ke7L5+h3RF305IYSQIIJu7RifkYWAZ92NuvSRShAATp/8c4TPiGYwmAhbu3atnOi8cOGCaG9vN77BWRoaGuR3wt8NC61Rv0J3LqyYn3xGPwJ/wk6zNLd9RkU20WPKKsr9U5bILk+ePBU9XQ9SCqHIKEEqLQkeoRTINm/eLAdcv3dOREMB7MeXX34ppkyZIoYePRGdbf0yvBrdA+uvdElrqr0jZy4g2KDeF1pjo/PcmjVrxKeffipD7iFaKedH2fjx48WkSZPEjBkzxKJFi2SdpsuXL4vubusD7759++Q6UXcMUWRuzELmm9vRl3EnoseUeTFEOxU7d+6U5/vKlSvGEm+CFwTdsbZiCK93C9zXxw40aJ0XO9afxTV25swZec69mAKDpiYQxsw2NcFLI4UyQkgQ+e6776QvpujvG5T1rhINtZQSmwT19fWJ2tpaGcW1ceNGsXjxYhkpPmHChLjPiKwG+HfwFzds2CAOHToky2pAlLPLRx99JGbPnm38FHzQSEE3JtkxP/mMfiOTsJzO3PQZQVN9t9b/s2oo2h9kIgNDMktGdw6TDRklvN+CRegEsu3bt8uBfMeOHcYSf/PFF1+IOXPmyH2C6JUNDx48EPX19XJGEBFecEz++9//ynB85QApgyOE38Fxwd/iM/gs1pEMnCp8RtUdg8MUBmSBVQcFMjfrf9hh/vz5no4oAtk4OYnmVkMCdBQ7VFGndV7s2OWq7KIAXn31VfHLL78YP7kPJg0gItbK89Qx6rxlsj7ODBJCAobyyU6fPm0syY7bt2+LixcvyolQdJiEX4qsBOUvwl577TXpLyLSGB2jT5w4IaPD0AU5FaWlpXKiFuVAwkI888AB85vP6BecmFi915u/8jbJ1F7p1Pp/dqw6ui9BBL6f1cwS/H3ipALxN4EWyFBUHHVmLpy6KTauqRKrl50W3xX/IRZ9tlds33xFtLXeNf7Sv6B+GpwPRILlsoscosYQPYYoMswOIqoM0WWJDpAy1CJC6ue8efPEqlWrxJtvvilD8vG7n9ZuEdcujn5RhUofNPU97AKZSo1AxKYXccLJUYYul27QWHtH7Nteo3Vc7NiJI9m9iHz//ffy2eAVMKuX7T3o5S5UhBDngW+4Y8sV8fOqP+OGn4PgMyrgnyH7IJegNmVLS4uMLkZUOQrt43vfeOONET7j1KlTxWeffSYFMaR+njt3Lt5Zeu+e32Q0W/JzGf5VECM2KJB5HycmVjta3Ysiu3Dultb/s2OnjwevaUb/3UHtOTNjqMmMWszE/wRSIMOgiYfPb9EXxzXfpq/Ns3HNeXEx+rDwM9OmTZP1IOBMuBGdhXplqFv2448/yu3AzCHqmiU6QP/97xRT3TaR540C2kEg7AIZQEFgnH/MWHsNXGu1Dp4fpEbkm7qrXWLXlqvaZ5sd+/NUq7Fme1RVVcnzDXHUbdBpVJ6bLGsAopbL48dPjbUSQoIKfMHN6y5on43K8Hu/+4zgjz/+kM9qt6Kz0Giqrq5ObseWLVvEsmXLZNbCxIkT5Xa99940sXTxCu0zOdGC5DMCCmTeBu+XumNt1Rpr3Ctwf+rYDe2zzY5du9pprDU4ZFsDsOnaHfqMASBwAhkGF4Q5bi27pL2ZU9mBiuvGGvyHqveEmhJeKn6PDplnT16OPoxrxIE9J7UPklQWBIeHAlmMjz/+WKYBew3M9OiOs13rvZP/NEsUia34tVr7TLNjVy92GGu2D1KvUaPGbeK1IxxokhGkFzBCyGjQxVf3TExlfvYZFYjcQi1ar3GjuV0c3HdG+yxOZUF5RlMg8zbw83TH2o4NDgwZa80vZytbtc80O9bR5m49NadBuRTdubJq9Bn9T6AEMoQ14qXXqjimbLdPO3L09/fLOg1fffWVFMrsFNHPBbqweCvm9wdMPIXPZofEZHNrMM2Wa9euyesSdUe8wpPHT2PH1aFzA3NDIEMHzioHnZ3G69k/O9Bt7L333jN+cgcnXzJg6H5JCAkmVsUxZX71GRUYk1FkX1c71i3g9+mewWYsKC+lDTV3tPtn1VBmhjgLGqHpjrUdiwy4k4rXE/VVdc8zOxaJ+PO9JBWpulVaNfqM/icwAhnSmxDWaFccU7Z3u/dSwcyA2g3oRglnxwtCBLq0XLuUvfiALiJ+Be2BkQIXKxCend2o7zHW6k9QuB0iGVIqvADERhxXs10NzZgb9VBUGuHyhSe0zzMrtrrEmYLNqFWIc+1mWm02L1k6Q603QkjwsCuOKdu3w58+I8BkKp7Vu3fvNpa4y8PBx9rnrxXzs8+o6O58oN03K+Zmjasgg6Y/uuNtx9wUMEu/Pa19nlmxPduC13Ct+bozjbvoM/qfwAhkCCXGRbnsi+PaG9msfTX3kOj3YeFPVRAd3YNQFN9tGmq6HInO8ZsK39PTI4WBAwcOyJps3y5dIdas2iiOHbyo3T+z1tPlnRleu6CDFZpJeAHUB5DH1sEIsoeD+XfMhx7FXii2/Ji+bo4Zqzp901hr9iB1Z/369cZP+eduj1F/zAGRHlZ3JXh1NggJO+hyu+yLY9rnoVlbuuCYsTZ/smLFClFYWGj85C6OCEM+jNyIRCLi1q1b4urVq+LYsWNi69Zt4szxWu3+mTU2l8kNTkaQuVG3VoEUcd3zzIq1BzBKCrXhdOfKqtFn9D+BEcgQknx4X732JrZqmFH0I0VFRWLu3LlSKEPhU7eIR284VH/LC8UO0YoczQjQFh3dlb777jvZdQmOJWouoXMnjrvOXnlloti19ZB238wYUlWDQHV1tTwe27dvN5a4i5wJdEggw/Pn6VN3rlOkdtZcuC1Kl53SPs/MmFPRYwqIw+hk6xY98Rcth85vdZexZkJIUDh5tFn7PLRq1dFnhF9BYyeMy+g06TZORW94qUB2b2+vaGxslJ05MXGKrt7o9ozJbHR8fu2110b4izB0iD9z8oJ238xYV/t949uJ06CUj+6YW7WYz2is1AWQGrl2xVnt88yMBTF6DEDY0p0vq0af0f8EQiDr645FC6z/3v7NnmiYUfQj6CSJwRVF0d2M1InVHnMuMifXhUbhwKior59++kkUFxfLaCekrL766qvi3//+9ygHRhlSWl9//XUplM2fP1/OxkJAw7nAjCBmBpE2YNfxC4o4ptiwYYM8bm51zkqkprpeHmMn0izdLoaLWc1LZ9vEimLrqZZ43l2vcXYwVy9dSLd0g3ghXYcEUNy/hJBgkW30mLKtGy4Za/Qn8BdRw9ZNnEivVJaP8RhNqDBpiqiv48ePy2ZZmBj65ptvpA8O/zHZd0StYEwc4feLFy8W69atEzt27JBRY1gP1gefUWGnIHzHzbvGp0muQMkT3bG3Yl5ooIAC+4vmH9U+09LZuu/OijudwRRhnar/R5/R/wRCIFPplSu/Oam9me2YX3nnnXfE559/Lgdjt2oAeaV7o3Jgzp49K7Zt2yajvnBspk+fLqO+Xn755RHOS6LBkUG7cTgzaD0O0QwpY7/99puMhLLaCAHO3406Naiae2kPmjim+PDDD2X0nVtcvHhROqdvvPGGrBNQe6lDe/zNGgZUN0PlFUgtQcH+1cvM15bYsv6i6OsddsidZNq0abJgvxugtgfOjVM15vBMI4QEC90z0Y79vOpPY43+5OjRo9LvuXHjhrEk/3ipeyMmTTGJ9+eff8qJ0y1btogffvhBRn198MEHYvLkyaN8RkR9wbdcsGCB9DU3bdok9u/fLyPHUAIF5TfscDc6Ppt9aQ+qz+g11DunXfOKzwiuXe2UGQS655rOtm++IoY8su254E7Hfe05s2r0Gf0PBbIU5lcgBGGwRhc5DNJukA+BDA7M9evXxe+/R53Tn3+WgoeK+oKjki7qC+mQcHDef/99GfW1fPly2dgAUV83b96U6ZS54l7voGiJHh+IMjUX2rX729ZyVzqLQeXSpUvyPOzatctYkh/wEoCZW3w3RM+DBw/Kwvo45tk0UsjWGbcD0jlxnd6+fVvU19eLqqoqmVa9Y8cusbb0J7H4qx/FvFlrxKcf7NA+31Z/ezrnqeQbN26UQrRbNNd1O9IgA4aOtISQYKF7NtoxvwtkALVr165da/yUf/IhkGHStKOjQ05yIuoLPggmPhH19cknn8gJZl3UF2pqonwJ/EwcI0R9Yby9cuWKnITNpc8IkDKKfYKwcmT/uVH7294abJ/Ri8BPTz4PZs0Nn1ExNDQk+vv7RWdnp2hpaZHvUYj037xhnyj6ZJ2Y/+Fu7TNu7fIzvi0/ZAWnUmjpM/ofCmQpzK/cvXtXDupffvml/NfurFU2OC2QLf/2B1mrARE/iPqCw5LowCh76aWXZNQXnBkIIAsXLpTODKK+EL6OqC+36kQls2nj5ui2vir+PH1Z1kuCwcF54qHaGbkEqaw4ZxigcwkcAdQ8QyQgvg/XBMSkRFQag51oI3RrzcSTJ09kG32IWejiiVnpI0eOyM5hqEeyZs0aUVJSIr7++msZWTdnzhx5vcNZx0sLxFxc1xB2cY2nuv51tv2XI+JQRZ3YVnZZbFxTJfbvui5utuRnlhnCHbYh+XjnC6eK6d6oY6g8IUFE5/vZsSAIZOg0jTEmMcUvnzgpkG3fWiH3Z+XKldIXThX1hRIaiPpCZgHKYyDqC/4isg4Q9WU1UyDXYHvee/c98c03y+TxCpPP6DXwLtFiI9XSjM+oePjwoXyng++oxCxMMKNeINJyEd0IkRfXOoTeVatWiW+//TbuSyJoANc3/F/UuksXOKDs6KEqcfZEiziw+7r45aeL8t98+YxeIdsUWvqMwYACWQrzMwgFV/UPUA8r38RqkOkfHHZs1sy58VpfSNuaN2+eFBQQ9l5ZWSmjviBA+AnMZGIQw4B0+PBhY2l4gHOBgRspCwo4exAK++8OisGBoawK7cKZgPAEQQnHuLS0NG3dM8z2NF0zX3vg53XlYsmib6UQi/2AmDVlyhTphEDMwvWqvtuK4TO4byEEw3nHNQ/BF9c9UlMRAYdjtmTJElnoF04R7vF9+/aJEydOyPRR7CccJqwPtcDcBEIfttMNoIW3NhpifRaCPWcCCQkmOt/PjgVBILtz544cM/bs2WMsyS8qLd4JK121Vo6bmGxatGiRnCjFRJmK+sp1pkAugc+L84SmXBBPiHugczlKW+iuwWT7ae2vYtOGX+V7C/w2iLfLli0bIWahljGuW2TBmPEf4Svib/EZfBbrwLowEYx14zvwXfhORD1C/MU9AIENQtu1a9dkWjUEOFxLEORI7F3kehb1a+kzBoNACGTI5cZFeWDHNa3zYtUO7a0z1uxPMMuAhydqIbjRSU6lrTkRRVYf8E4gmPHBuUJqbNg4f/68+OSTT8XZ05dEYwpxCp0mMViZ5cKFC9IhxjGFYAXxqK/P3OzXkydPRfvNbnnN6bZF2uXbouzHrWLae4UykkuJWXBSkE6I+w1i1syZM2XhYyVmQbRGKvDWrVvlrB/SeeGoQ8jD9uXCMUFKCFKI3QRCHYQ+t4DIitlAu3XmOlqD18acEBIDvp7OB7Rql6vajTX6G5SbwISPW8jO0prnsBULus8IkCIK/wbnKtdR+CQzkYHUQhmuR0SNrVxZKidQ4SPivCkxCwIZJvwxiYvMCvhMiAqDn5goZuG9DucaYta9e/fEo0ePjG8nuaCvx3qDDFhHK0XroBAIgQzcjj6cLp9rEwtmH9Q6MFas67b/u3PgwYsXZAgFCMXNNw01aUQGC3YnAOciEyrax836H24QKz5r7jqBUIHZulQgCg+zxTiOcDwOHTpk/MYacEAgeF2+fFX09w3KdulwbnAdQvj1E6rWGxwtt2hubpbbACfPLRCZcLMpVvfvmgWhzM06IYSQ3ANfT+cDWrEv5hwUAwPBeFmF8ILnNQrLu0F8cjULC4PPCFD7DBHsEF0QOU7cB+muyH5AFkRP1wPf+YxkJPAB66+aiySru9Ipy7WQ4BAYgQxRJpVHLov1P5wTcwu3aB0ZM+b3dt0KFCCFo4OUrHxHkSB0versVbF722Fx5nit9mFi1tD9MQxAxMD5QrQRalYFna526/WhUHQ9sfMPQsIRkYU6XTh26DSKCLJsQL0srMtrtUfsghB71F65f9+9lwY48ZghdZt7vRFx8Vy9vJa2/3Jg1PUFQ1h92427UrwlhAQf+HyfzNim9QfNGLq6BQn4jEjRcgMIPZf+bNA+m81aWHxGgHpxX331lfRZ0ISIEOIsmGBFPdsdv+p9RkzyI3ow8oARfUEjMAIZQlPfeGOKmPzaG2LGu8VaRyaTrfzmVCCixxSoQ4Y0SwyeyDXPFyrFs2j+F2L6+zNtFT+HIcQ1TGDWFkVykZqHeiBBJZs2yqgp1djYJFavXi1THGH4PyKVnAA1GpA2GRTQ7fWVV15xNToRtV9Qkw3dk9wEUYWIDvxo1myZ9llzuVm0NffJkPjO9n5xv/+hrFtGCAkHqAX6+uv/FbM/KNH6hJls7YqzoidgUQNoIAP/zY3UPXSJ/OyzItGQrsxBGgubz6hACQecs507dxpLCCFOgIl41HN7882poqPtjnzGIDoQ0WWIFiTBJTACGbrDYYCYP69ITHnjbVHy5XGtQ5PKgiaOAUTXQEB4991381ooGy+iOBdIdVu8aFnUcem0JJIdPVAla0GFEVzHOF8wdAEMGkiTRCiy7rybtd079suipLi+UYvBSVAnDDXEgkRFRYW8H90q2I9UEHw/mgi4ARwcdHbCNqCBAiyMjTEIIaPBy88HH8yUPqDON0xlm9ael6J6EEHH8B9//NH4KX+8//778nsf3H9kyU84/NtZcbut11hLOEEhdoxxbpw3QoIIGmLgWYj6wsjKIuEiMAIZQMc0FMXGILHjl6NiRfEJrWOTbF98ukm88857Ms0N3fWCAqJHcCxUCDZ+zgfomoKOKohc2b17t6zhFKs1ldnh+ePgBTHrw1gtqffee08WrkTaXJi6q3R1dck0B0S72KkFgpBgRGndqOuRM7H1V2LWVNst08dQUNQtcC3ozrtVS0y1dJJvvvlGtnwPGm4X7Mf1jPThfKMcHNxLeKYgDbezs9P4LSEk7Jw+fVo+Gy5U1Yg1y89ofcRE+2ruIbHhxz/ErFkfBVZo37x5s3xm5tPvQoQxzsPBgwflz6jjJLsQa8b/RGu63i2+WRKbAEH0PbYd9Tfdjlh2A0TA4zgsXbrU1rsMfMP2lruitaE3bvjZTZ+RkHyDyGLVQA0TKPl6dybeIlAC2a+//ipFmXfeeUesXr1G9HQ+EKeP3hCb1pwXxZ8eHuXo7C6/KsrWb5c1enAjwNCNDusx2/nO6yByDNFIiCRDxE0+QFqnEioTa0Ld6xuUxbKbau7ERZuGq12i+Vq3bLLQc+ee+PPPP2W4OM6hOifKMLu4bt062f3v8eNg15nA/iHdAPv9+++/G0vTg4KgKGYfK0aeXoxsiTo++U5HgL+m2xY7dq930FirsyDqEXW7gobbBfshlOP789VaHy92ysFBOiX+3bt3r/FbQggZBj4ghBXQ3NAj9u2oFUuKjo7wF5d9cUwcPdAg+qPjLJ6nanxGNDPSyN2s8+g0mKTL9zOzqalJfmdyORDUFEM6U6JoA4PPqDpct7a2iv3790thCBMiWA98XjSrgj9/9erVQE1+pwMNcVAmYt68eaKnp8dYmh74gjeb0ncQxe/DmsJKwgPeQRGcgXI3Sqwn4SRQAtnNmzflwIgCowiJtAJECEQ9qYEV/6K20Y0bN4y/8CdwNrAvEK1QkywfoGg6HBV8bza1tPr7++VgjwLfcEKxPmU4R4gYLCsrk52XggpqR2F/4eSlA44iCozHxDG9g6MzFJ/MF4j60m2DHYMQmAtef/11sW3bNuOnYOFmwX5EbeE6zkchYTRagIPz0ksvye8sKipiK3xCSEoQqW4ntR61L/FZPGdQZxHpbbdu3TJ+62+Qlv7BBx8YP+UedFvHcXzw4IGxxD44LxD3IGKqCXC88GLiFmJmPmvyugH2D/4+runGxkZjqR6IjzofK5Xl02ckJJ8g+wnPCmRddXR0GEtJWAmUQAY++eQTmUqEixxKsFXOnj0rZ53wefWChbQczBj6FRwPpFhhX3KdR42aUPgehKWi/bSTIMwVKVNIg1OzhMpwrmbOnClngd1wflRaY/P1nnh0nExrvNYtbt3oi8902gGRf9hHOOI6Bh48kqmUVsUxZejAkg9wjHTfb8cQieg06AiF4wxHPYi4XbAfz9Wvv/7a+Ck3oFkLziEigfFvUMVOQohzXL58WT4v7E624dn6yy+/yIlZrAcThH6fuEOkPvYFEw75YOPGjTJzIBegnuuuXbvk5LmKKEYtSvyM5W7We0Xkf3J0XFtLdj4juH37tvT7sZ+pzqFVcUxZvnxGQvIBntV4f8RzAdkOhIDACWR79uyRFzlmvlasWGEstQ46MeLzWJeKKEP6lR9fntXM3Jw5c+RLai7BgwbfBQUe9SByCaLTsG8QMBH5g+9VhhBznC+IS7l0fuDcoEZDbdRpgOmcCWVN1+9Ih8QOqHWC/cK+JtYFQVRW07U7tsUxZagNlmtQx0L33XasLXrMnQZpGjjGtbW1xpLg4WbBflUfBUXznSbRwYHh3scznBBCzABxJtvJA6TxIdUP/ieeQ/C3Tp48afzWf0BgWbRokfFTbsHkCfzGfIBJVESSffnll0LVp8SELvYV7xBI98wluE66Ox/I+mk6/0ZZc123bZ8RPHr0SPqM2D80z0rErjimLB8+IyG5BhMbuD+Qkpzr+574i8AJZMi5x8WOQQEh1RggsgFhluhsh/D5//u//5Prfuutt6TK7KfC8UhRRJoltj+XL45wDiEo4mU1VcRTrkAaF1K4MCuIsHqcL3XO4AQhuhCzhQi/d4K+7gFx7SKcBWtdGe06POfPn5ezgRA6MTsIhp2c7DpDIj0zV4XvFQ8jzglkt285H+aPWVZcK93dwe6g6lbBfkRZ4Pg6XQcN6cdYL15w8O+GDRuM3xBCiDnw3LBamiMdKP6Phi94Jk2fPl3s27fPd7VTVUdylC/JNaiVi5IZboAJI0ym4nxhchX7jElXZCtgYgeTZ04BPytTva9ky0YkAygXg31SdYifPnkqGmruaL/LrKHxFiF+BanHCOLAfZGphA0JJ4ETyABmoVRKoVMRX0i/griC+lpYLwzpShjQlVjhZcrLy+XAj1lSFMHPFWvWrJGzp/guOIRu0tbWJmvLwelRYfWJ5w4iAbbRjvPT0/VA6zSYNbsODx7qaFYAkRaRTtLJuZydOKYsWyfMDI212Tllyro6nK+jBUcY123QcbNgP2bsIdQ7AWb7MOuHfYEoj5fQixcvGr8lhBDzNDQ0yGeJnc7R6cA4jTqqWDcm7rZs2eKrSRiIhkhdzyVo3oLjk48alZmAiImUW5wnNb7A4PujLht8Srt15lBm4kZ9j9anyWTZ+md4B8B+wEdHAzPdd1g1NN4ixG/gXR73wqxZs1zJpiD+IJAC2ZEjR+TFj0gbRJI5zR9/oMX3LPlSpuqUfffdd55O6VGRdRAP8W8u0pwARCf1Hahh4SUghEEQwzZCIMM2KoOABiENzg+EtXSgkw+cg2zTGhGBZgdE4sBx++CDD8W2LfvFtcv69Vs1iG25BpFfuu+2arloOw6x206hZj/iVsF+dAXC/ZbtC6JycFStMaRGBb2zLSEktyDyffny5cZPztLe3i6FJmQ24JmFLruZCqh7gU2bNkn/KNtsjHTAd8YxgUjpNZApgm7sqJH28ccfy+2EoQg+yrCg/IXZgt5ImdT5M2bNrs+oUOPvRzPnatdv1dpuBKPbPwkHeLdT76fIDCMkHYEUyBDtBeFK5d7nSgxCtALqJkAoU2HZEFlQ6N+LYDBHdzdsZ66KVyMsHQX68R19fd4ePJFqiVRZpF4iBVPVmoMhXQsPUoityRGCN5v7jNTK7KylwVwL7lQUffaF3NY/K+u167djuQYzjrrvtWK5KhCLdArcv2FAFezHbHI+QWdaXLPoMGYHODiIQkPqNF40EUmJTreEEJItqEvlRGmOdCBaaufOnVJgwbMQfioEGK8C/wfbiQjrXKFSOf1QtgTnDw3A8IKNWpfYbhh8a2RnYAK9q2t0+iGK7uv8GSuWrc8I0MjqpZf+LWbP+kRcPNus/R6zhoYChPgBZEzg2Y5JcJSrISQTgRTIAESaDz/8MOcDO4DQgtlACCxKZEG6D2ZrvARCSbFtEAFy0S0IUSFYP449ukz6DRTzRxg6nB4leCqD8AdH9uiRP8SZ49ccEchg2XQqQsj9118uFb/tOqFdtx3LB2gTrvtus5aL6DGA847IqrDgVsF+FEJGBGQmHg4+ltd4V3u/uH3znui41SPmfVIk3nor9mKJqN0HDx4Yf00IIdmBKC88WyBy5AOkFCLTAd+JsiBeSDHUAZ8O0XW5ApF1KB3hR9C5HfXmfvzxxxGNYvAOgNpf6LyOCSmMYTp/xqpl290S/Lb7hHj11Umi8P0PxeljtdrvMWMUyIgXwUR8750B2URtMDIkdu7YKe9J1MXO5eQHCRaBFcgQVYAbAul0+SpIjUEQdQtU2g8MwgoKYyJywgugKKEKE8fA7SSIqMN6EeFRVFRkLPUv6HSE2TY4PSqVVlnVyQatw2DVsglRh3iAdZw6Wj1qvXYtXyAKTPf9mQy1M3IFaq3kKrLSq7hRsB8vn7iHdGkpT548lfX9MnX32rF1nyMvCoQQkgieh8gMyCeIaEBzITwXMXmJCDNkQngF1OTCtuUq8uKLL74QixcvNn7yN8icQOdSiGMQyXDcMHF+7VL7qHHMjjmR1oj1HD1QJd6c8paY+uY74tjBC6O+x4xRICNeAWIY3ivqruhrMu+rOJSzyXUSTAIrkAGkyak0S8wM5gu0cEbUmkpnVAMk6uTkoxtQOjBDie3BrKXT6WRoj40QVjgF69atM5YGB0TaHD5YKco379M+gO1YNg6GEsictHzS0XpXuw06a77eLQfAXKGKBDvV1MMvuFGwf3BwUArOeAlMBM5LS32P7KiquwZ01tF6T0aaEUKIE8B3wzPRjRIRqEmGND18P8o+ILLKbH2rXAOfMVciFrqsYzIyiCCz4vjx49rxy445IUqpdZ36o1q8/94MMfm118Xve06N+B4zRoGMeAFEi+muT51BRKPPSMwQaIEM4ZQQqSZMmCBrS7jBqVOn4q1kVdoeah1dvXrV+Iv8g248mLHDtiCt0CmQnvbRRx/J9aLYfRBxWpTKxsFAu3DdOu0aUtnyzcD9h3JGVLc9MBS1RUom9jWXtLS0yOsWHcfChhsF+5cuXSpfuBR9PRFLwliioS7L06fGigghJAtQsxZjQa5Lc6QDogqK42OSF9uCLpiIaHcTVeDdbgfHVCBFEes9ceKEsSSY6MYuO+aEKAVfT63vwukmMevDufI9afe2wyO+K5Pd7fVOlCMJJ7dvWc9Goc9IzBBogUyFhSNSKpf1E8yA6CNVvF6l6yG9yek0RzP88ssvMtILRWJRO80pkLqJ1ATsW1CFBi8JZCBW1wLCgj1xIdHcmlVBEeB58+aLP89dlF2aujsfyBkhtETPFyi6i+v2zp3cd/L0GqpgPyJc8wVSUHC8EVGLyEBcf9eTrkcrlqvGDYSQ8IHMAzN1EnMNOvOioUlhYaF8XsKXdaspCTIjMJHidPe36upquW83btwwlgQT3bhlx5wQyODrJa6z5kKb+PTjz+V5MJshgQmtx4+pMhD3uNNxX3ttmjH6jCQTgRbIAOo5qLauXmghjS5sKOaZWNMK2wgnaGgoP/nREAHwvTguSP10qj4aWoErETCf0Sj5xGsCmeqMVJu0XqvmZrtudHzCNYMadm6BaAFEeIaVfBfsx4sfUohQn7GtBam2HVk3vsC9SQgh2YJUezwP4a95BUymoj4atgsNqPKZFq/YsGGDrLHrpK+6f/9+6Yc+eZLbKHG30Y1ZdswJgQzoIve/+HyRvL7Kftw26nfJhnGbELd4ODiUst6YWaPPSNIReIEMAzqKb8Pwf6+A7mtI+8R2YUCCTZw4UYbV5yOKZfny5bJrEL53x44dxlL7qFbgSJ166623jKXBA1FNugetXXtwP/uOKjHRrtN2BM6N+p68Rmslo1Jazp49ayzJP2VlZTIdO8zku2D/ihUrxAcffKi9Ju0YCvt7FdWREynDTbV3ov/2iFvRFxRESjrxDCCEOAcEIETZe7FpC8pzwM/CmIlu4b/++mve6qWhHhq+F6KWU1BkrooAAFnxSURBVKxZsyY6Dnxg/BRcEtMaszGnxguMSajtmrz+JcUr5Dles3LDqN8pc9tnJMROamWytTgkNucSdOSEmA1BGj7k3Z4IfcY8EXiBDFFjeNgjWgqRWl7k8OHD0kHAdqrIMtQFymXEmwprR8i+E8KASlFbsGCB7GIZZG429kYfrtmnNDo1EwjsimQ3m3pzXt8rE+jWhWvHzRokqAvodNMKv5Hvgv3nzp0TBw8ci16H2d9LyrzW2RI1WnCfy+27PHp7ld1q6stpEwpCiDUg4CNSy6sgPR3NkFRtW3RNzEeaIsbKWbNmGT9lz2effSYzD4JOclqjHXPSZwSpRLLvvl0jryn8m/w7L/iMJNyg23nydWnXvHgtY5sgADbUdGm3GXarmT5jrgm8QAbg5EC4wQMfdcm8SlVVlRSXsJ3K6YGwl6vW2p988ok0fA+aCWQDotCQYgmxzekaFW6ByCY0MUBx2vXr18v6anAMp0x5U8z7ZIH4eV259sFl1jAT4CQQyRByXIt0Nc33JRrqR+AB7IVClahtgmvw0KFDxpL8g4LxEKXDTr4L9rfL9Er9NWrHUJPPK8QjBtIIY8kGp2foEWfmCXEbNennhdIc6UCJDES6oRMkthedJnPp56IUAr7nwoULxpLsQBYFUu2DAqIPkVGBSWh0r4RvjPqeqGu3a/tv2ue+WXPaZwRSJKsbLZKt/qFMnmdElOFnL/mMJNw4ITYru+exRhOY5NWJ1qmMPmPuCIVAhlRGhMu/++67srOl14FDplp9q4gyiHxHjhwx/sIZsD6se/bs2bKrZTZgthUpWlif09uZC+BUNjU1yW2FoLdo0SLZgRPpoUh1RU0M7EuyQbhEDY75nxaJ5ctWax9YZgydGXPB0KMnoqfzgWisuROr6ZRU16nmYrsU0rw2a4L7082uYXDSvZhOk0vgZMi0v+hgXHe1U6ZN1F5tET/9uFEMRvJTDxEh7onXZ7YGZ8FtcFxbG3ttd+VEhCohxH28VpojE5jMwyQefBVMfkKgyQXwlZYsWWL8ZJ+enh65rW41HrAK6qShZiqaUKEm3K5du2RNYYiSmGRDymuivwhDJ1JkiGCye2v5Nksvv4mWK59RgRdzTDDVXx2OWvl53Va5D4sXLWXUGPEMqrGTE9Z92zv1snu6BrTbmMnoM+aGUAhk7e3t8iGPCCBER/gF1CJDTTIINmqwxQCMGSnUMHOCKVOmSHEM625sbDSWWgcOE2bIsB5EXbkJjk1LS4sstIvjh5QAiHfo2okot8QGCYmG5fg9/g5/j89t3LhRrgfrSz7mcFh0D6tM5kb3lEePHkkHDfuZbbRgLoDouHPnTuOn/DIwMCCPC85zGEDtEAhJumtT2fUrnaKzvT/ndUYaIORqvt+u5folwgwdrfeybjiAmXpCiLsg8gcTq34D6esqGwFR/WjC8vChc+k4SMPHurNtYqDS+m/dumUscZfu7m5x/fp16SPhmP30009x//HNN9+U25po8BenT58ufWhMaqMeHCLhsV9IgUX5iGRSpTWmMzc77qH0BfYVk8hBb6RA/AG63evuEzuGOrBeAJPS1y1kGyQbfUbnCYVABtCyG4YHvV9mqxQI2d6zZ48UbtTAjEgmpP1l66Bs2bJFdpNDeD5qWNgFEUDffvut3LbBwUFjqfPA4YDjcfLkSfHLL7/I78RMKZxYiCwqNTXZEBEGoRERYhDzMOOHyDFEkCGSzG4nT0TgNNaac3aqz7eJ9lZ3I1zUOULdOy8B5xPOpRtA/MQxwaxw0MHMW2OteVGqvrorp3UOIJDZbS6hM7edHdVVNluBDHavN3fPUUJIZlStVi+X5khHXV2d+O677+Q+wP9BNFxnZ6fxW/ugCzEio9DcJhvg18J3zAe9vb1y8hb+/759+6T/h9pn8B/hWydnDbzyyiuykRVqk+IYwt9EhB5SS3UTplaASJZpkgpWvmmv+GjWHNdTUFH+BecJ9eKc6npPiF2cFMi8kmLpRBMP+ozOEhqBDF13MOghVREigV/BbI5KZVSRUNifmpoa4y+sgXBxrAPRRRCXGq+1Gzfb6PQgpEOh6PTjxyOLEECkwzow05ZNwX/McCLaDw4MHAJ02oSoiXXCGUsnfsGZgciC9AJECkI8hDMDhwi1xHINHtipZgUvnm0WK79bL9747xS5XW6DNGMcN8yQegWcY0TruYGqNZOP7rHJIG0BAzTSYvt6IrJjTa4EqVgjh9HXZyaru9olBnLUNedOx33td9o1t4uWxl96spgJVIZINEKIu0ybNs0XpTnSAVEM4pjKRoDgA/EsGyCOwS+LDDyUExO6OlY3m/q0PqMCNS8xYZkt8PEw0YnIOZRqwL6WlJRI/xGTp8m+I8Qe+BwQfFAeZPPmzTIqDkJQc3Nz3kSgyMCQjA5LPm6YOPrjyCm5rTNmzJD/tra2Gp9yB0wgIuUYPrYTIishdsHzJPmesWteaOyEGmKYjNZtnxWjz+gsoRHIMIBikEGYMAbLXEY55YMrV67IGhDYJyWUffrpp7bS5374oVTsrzghfly9RVypuqW98RINL8x42VZA0ML3w9lAmqUOVbgUDghSRL///nv595ihQ9rrhAkT5Dp0hgg3pIJC3ISQh7QHCJ4YsDEr6GVWrVol9wGOG+pV4P92xUwngQOJbXEraisZ1OhARy43gEONZ0I+wf2Trv7WjejLBkRXp0CqZP1V+90iEXWWi7pkAw8eGd+RfSdLHDM3cbKzEgx1BAkh7oIyDX4qzZEOTEJiYgziEMZ/pGHCN7EDJkZ/3bJL1jXVPb8SDT6jrtbPxx9/LAWqdECsQndOTGRBxML5wGfgP0K8hNiFfVGGsRwd6+fPny9FMky8YYw/e/asLCPS1+d+ncpMYDuREQF/F02M4Cdj4tdtEDmHYw7REUIiIW7R5kCDJ7d9RkX/3UHt9lk1+ozOEhqBDGCAQSFNDKJHjx41lvobzCpBMEoMD4fzA4cAA2smEBkC58VM58NkUyJZeXm5nEnE7FJRUZGcFURYOmozYJlyYHSF7/E71FXDLBnqOGCmdu/eveLq1auygKufgSOHfUxMZ0T0H0L6vQCaV2D7vBDV5mYXSaRa4J7JF1Zq12EAdyIqym69vERrz9HsFJoD6L7PqjkpKNoB0YDYjtqL1p+lqWxwID/NEggheiAEYJz0W2mOTKCAv+pijiguRNxbATVvdM+sdJacAo+INtT5Qqd2fD9KfmDyFP5jYWGhzAzA9imDD4l0SGw30iMxdsNfPH36tMwW8LvPCBCdBQEKvqKayFeT0F54b0HWCRp7vf76656Y7CXhBJGpumeMFXPbZ1T0dD3Qbp8do8/oHKESyP744w85yGDWCjMzQeLevXsyLREzncqZwAwUHI5UUVaICEFkiB1xTNnyZbF0PZ0hKgyDKBwdODwQQHbv3i3reSCdzYyA51dUtBj+TQTCH5Z7Jb0RQiq2B06pm2C2163UZ6QG4/rMB7KAu+Y+SmcIvc4UvYXiwkiZUfVVVIoJZtk/+eTTrIp/KkPaRy5AiHus46P955AXZgKdbD2uLDKQm9RWQoh5IAhAkAki8MdQkxV+AGrRopsz/Ml0ZFMvp+rPy3JCNLH5lDJ8v2qQhIk7+EmoN4vC+W6UQMg3qLGLaw0TdhCiEsF4jkwKpxp0ZQO2AZPhiNZDZB8hbtBx034UmVeix4ATE9jK6DM6R6gEMnTyQ8SS6rYYhNkmHZiJQ/QW9lFFbSEyKzkk2kyR0EyG+lpvTX1HFr/H90BwwQwYiriGFRT+x7GASKEDbcEhHiLl1Aso4diJtu12gWANJ90N8hW9lk29rZaGHnHsj2PxtvKqsxbuu+TITDzjMAON+isQHdetXa9dpx2LPMjN4NvXY7/oat3VThmi7jY4Nrrty8Zy3UWUEJIZdFhGKQtdV8KggPQ5NGrCGALhAyUP0BApGUQ0655VZq3qdJ1Yu3adnJTDd6EsCHxGdkgUMosC2Ri69EUIhCg3kk0zLadRwiqiEQlxg9Y0pUpSmVd8RoUT7+LK6DM6R6gEMoDC76roJUKzgwxqSyAy5v/+7/+kw4N9RpopWlCjOKju5rJjG3/aEe+OGGZhDOCY4zig9lgqEDaPmVIvzUhju/ECgOtlYCD/YcdwtFAPxQ2QBpzrLlEPB4dE3ZXs6myV/bRFRoWqtvJ4wUCEqCoujCLFuoYUd3uyD0VXllh70GmwbhwjK10tkZ7plZDyISPF0klD2iYhxF0wmYVxHZNfQQdjCGqTovQF9nnp0qUy8l3hRO0fPOshOiKKjMRAhBiOd7qOqXhnyfQ3+UZ1SUVdYELyDQShm03mRTIv+YwKJyPI6DM6R+gEMiVgIKXLK7Wgcg1Sr1DUFEKZKug/Y/qH4pcNFdobzKpdPtciBQ68uIeZa9euyegdM5FQx44dk+cB6QNeAU4wUnQRUZXvdAbVsTTfICIA5wHnI5fYqdeSbA019iIOUfdFtz47hloJuQTODpwFpFymE8rOnKgR5Vt2im1btxmf9AZwvmo122vHkNIa4Cx0QnwFJo+CVpojExA90EBH+czHj53QPqusGp5t8EkRBU2EjNYz6w/iPCAN00sgqh3bj7q2hLgBusG3pKlniy67mzduFfv27jM+4R2Gm1VlZ/QZnSV0AhlAxMjChQvlA10XQh5UEMaOoqYI0547e55YUrxce5PZsU8+/lSmfYWVW7duyfoQcF7MpgogpRGpcF6KukMUErYJXZOQcpEvEHEHYS7fYB/xHMhlsdknDrakRp0rq2C2XrcuO4ZUyHyAGT6EwHe23RPtrX1yhvD2rX4p9l2/Vi/PGV5YEYnpJbJJo022XEbrEUKs8fvvv8vnDuo9hg3UtsTzdu1q59L1Z86cJX744QfjG8ILovVwXSES3Ayox4a/R604L4FodmwXuoYS4hb3+x+Ke32Doq87Iid04TOqtENEaXo1kMOJZlX0GZ0llAIZuj6iDTSEInRgDBto9Y2b6c9T9aNuMLsG0REDfRhBSgJmWWG6FLdUoE06HAqIll4C6SQzZ86Ugh+i4vIBZiCR+pxvUGAW5yCXEXMosK+7Z+xYchcwM0Bs0q3LjnmlbsOCBQvErFmz5Lk7dOiQsdRd+vv75UTB4q+Xi6WLv5eRtbpjaMYwE8hQeUK8A+5vPG/27NljLAkfTfVt2ueVHUO0vVeaFbkFGurgmrJa4qGsrEx+DhOzXkI1p/JSnTRCFLW1tfL69FLmDkDk5ZrSH7XPSbNGn9F5QimQVVdXy5sEdXwgaoQR3FDZdK9MtD8r6+TxRLHVsIFoMUSNvfnmm7aclR07dshjly8hyizoYoWUR7RZRwv2XINZR0Su5Rs0lUB9vlySbVHjRLOb4thQ06VdnxVD2qNXOuSotveffvqp+Oijj4yl7vLTTz/JSZfJk18XC7/8JqtUS84EEuI9UD4hLKU5dDgVjVx55LJ8fl+8eNFYc/hAYXscA4wbVoHfiU6XixYtMpZ4BzQJw34hWocQr4FIWLyzeQUEVeA9C117s6nvSJ/ReUIpkIFp06bJouB4kCNkOWzghnJKINu7M1ZPK0zpqgo4zJgJzUbgQj0JN+pvZQKpn2jqgHOb6xkXRHIiYi3fIHoPjmYucbIGGMLG7dBxM/saaGjt7yU+/PBDKZDh+kRtSTfBsw/bAccL/9ZduyGPmZWGA8pQr44Q4j0qKytD6+sApwSy7b8ckMcxjOmqAMIg9h912OyCCWmsA13IvQb8RWwb/MehIW8VRCfh5vTp0/LaTGw84ibInoFAhqCEp0+fpq2jlspQt5c4T2gFss2bN8uC5HgptzOD43daGpwrJg1rb7dXQNzPrFy5Uj5os305R0cirMerqRsooI/tw8xgrti9e7fs0JhvUDcPM0q5xMkIMtRWsAO61tZX248ia6z1Xvi2mqlGOrBbHVAVmC1HPTRsz6ZNm+Syvu4B0XTtjvZ4prKeztw2QSCE2AeRO+i8GNZyEqjvo3tu2bGbN9uMtYaLhoYGeQ2hDnK2oHs8shfQbMhrXLhwQb74Y/LXSukRQnINJle9UDNb1UBGJpECHe87Ws1NaNdf7cpbXeAwElqBrLm5WV6YGKTeeustY2l4wIu27oazY7ea+4y1hocNGzbI6+fo0aPGkuxAXTxEouW7e6RZ1qxZI/cXNSZyAVIdJ0yYYPyUPxC9B6Ez12QjTiUaXlDsks09b6f2WT7AywHqkeHaRLdeN8BMJL4fLwKoxTg4OCxiPnnyVHR33k97/huvdcvi/g+yOLeEkPzw/fffu1Iv0yugG5zuOWbFwugzAtR3Rf1jdO9ELeBs6erqkn4T/EcvguwcBCFAkOjo6DCWEuIuquFKa2urscQdli1bljKDBf4gnpO65+fNpj5ZbgX1hUnuCK1ABvByjOgR3ChhrIVgNbohld3t9d7sVS5RhUgR9eQUAwMD0pHwct0GRMZgv9GtyGmOHDki153vjp4QNKwWyLUD0uZ0944VQ+h1tmBQ1a07nXlVHAM4d7hu4GQg0tENMIagliW2Y+/evcbSkaD1NiLwMDt4v39Q3L87KFt7D7GoKiG+ApExuNfDWJoDOFEyIGw+I3jw4IGsl4nyLk6mlqLRAa5Hr6SMJYN05MLCQvH222+LxsZGYykh7oL3LTeFZZU5hHefdGCSdejRY9nsa+D+I/E0+jPJD6EWyHbu3Cleeukl8f7774ey3bSqJ2GnTo6y5uvd4vHj8Nywhw8flg81lUblJIhGw7q93OwA9wy2cd26dcYSZ1C1XSAU5gukJeA7jx07ZizJDfX19WLZ0hJRdapBew+ZtXsOvVSgE2VrY6/2OxKt9nKbaG7yVpesZFC3AU0W0HAF5zLfs9Tqup0zZ05oG74QEjaQTo2iymEEQj/8Pt2YYcbC5jMqMEahrAuyV5wG0csYg7wKBEFEzb322mueFfJIuMDk6vjx411L//3ss89C3fDFD4RaIOvs7JQvNygk+eqrrxpLw0VMJOu0JZLB0Xk4mN+IHzdBrTFcL6tWrTKWOA+6EmGGEcUavcqBA7ECu9kUmE1GHdu+vvylXqj8/5qaGmNJblCdFlFfSncfmbGbTb3G2pwDtQtaG3rlfdxQ3SXqrnTKqFIU47/VGns2nj171vhr7wKx9vXXX5c17NB0IZ8g1QqOP44VxDJCSPCBOAaRLKzA77MjkoXNZ1QglQpjxJUrV4wlzoImUVg/JjC9CiYkUQ4BooTbTXUIweQqAmTQICzfqA6258+fN5YQLxJqgQwUFRXJ2RdcrF6O3MklVkUytOgOm6MDEQWRKkuWLDGW5AbVDQ81zryMesBD0EPh4my5dOmSXB9E63xRVVUlvzOXdd+2bdsmv6O6ulr+bCfVEiLWo4f5v9defvllzzaOSOTWrVvyGGOGHtucr4LFODb43unTp0vHnxASDpQgEcbSHAorItnRA1WhFceQxoVrJdfvF2g2BvGpvb3dWOJNUBwdx8OL3TdJuMC9+cYbbxg/5Q/4jIsXLzZ+Il4l9AKZioaZNWuWJ7pauAU6rsWcnc5Rzk2ibVy/Xb6E/vRTmfHJ4APRCvnqCInNR2SXElXcKjpuFghMaCyA43L//n1jaXog9OBaa7vRJ+qvdoq6q12yQ+LRg2fFsSPnRE93/toVozEAZpByBept4Dxu3LjRWBIDBdkRraW7v5Kt46Z73Z8wiKMFtR/ADD1S5XG88zGLjkL8iFpTkytKACWEhAM8H/PR4MXLQPDquJl+0mfj+m1SuPllS/g6f/7yyy9yfEBR8FwzNDQk3n33XV+8eKOkDY7Lvn37jCWE5B8VkAAdIF+omoFNTU3GEuJVQi+QIcwSF2txcbH8F4U0w0x/36Boqe8VTTV3RP2VLmkXzzSJg3tPixmFM+UxQmpdYqe2IIOUP6RRoQsPrpV8gZQ8CE9eB5F1KHSP7c0U/QVhTOdAJ1t7610RGXhkfCp3IB0vVQcZJ5g/f76YOXOm8dNIUKw9XTRZW8td1wsZf/XVV/K56AdwHeLZhIhgFAPONRA98dKHLppuNQcghLgHxA+U5vByOYR8MfToiehs65fRzsqarnWJZd+UyOcyylKE7ThB/MG+b9++3ViSe1RNTET4ex1EvGFb89EkiZBUYHI1X/VjUWMZdQjXrFljLCFeJvQCGcCMCzpa4mF96NAhYykBEBFwXFBcE//mU2l3G6QOIkIEtUba2tqMpfkBqRs43n6YYbtx44YUmmD4v46ujvtaISid3b+XfRv0dCBiFB0Ic8GOHTvk+ctUc+TJ46eyOw32Fd3BICJ6pYAxBnEIw34B4hiEWhz3TJ2BsgGNAPAdEEDxL1I8CSHhQtWwPHnypLGEKFCIHRF2iDDP5bPYq6gSFBCB8s3SpUvFW2+9JR4+zK3/5AS//vqrPE5lZeHJSCHeAtH/uAZPnz5tLMkduM5RqqenJ/uO9CT3UCCLcuLECXmDoJg26tiQmPOH44HjAkMh6rCFhKK+Fhw8t9q5r169Wrzyyiu+eJh2dXVJcQLRZMlF7xENpRPAMlnd1U4ReZC7SDKI4rnoXosuVUFw+iDyQRj3C6jxguOOzkC57Oj1/fffy7oVeDbkuykAIcQ7wC8Kc2kOHWpyCBHwSGEKGyi8jf3/7rvvjCX55fbt2/Il3C/lEVTKWS6bXxGSDjyrMMGaS1AbENc5RGHiDyiQRXn8+LEUIlSaZS6LdvuBgwcPygEWXeFwPPwy0DqJqpGAOltugXRfCE5OdovMJahDhoEGwsGff/4pl93rG9SKX2YN9ckQYZULcGxzEd6PgTZfIdu5RKVr9Pfnry5ctuC4q7pgubh3VXFuRI/h+Wi29h4hJHiol/uwl+YAvb29cR86ue5mWKivrxcTJ04UCxcuNJa4w+7du+V58EttzMOHD8vtRbobIflGTa7msqM93uOQjQS9gfgDCmQGiAooLCyUNwkGlzDy6NGjuDCEQR7RI3hJDhvoIIljcPToUWOJeyjH4cyZM8YSb4M6I4i8wzYjzaCloVcrfFmx7tvOv3yg0yG20elOSrt27ZLrRVdOv4MmEdgXP0WOqqYrSA3NxUsK6rKpZgA414SQ8ILJVDwLMKkYZuCfoJER7OzZs8bScIHUe9S/RAQzfGm3wXZ8/PHHxk/eByluuJcwxvohPZQEC9SazpVAq2rkhqlEURCgQGagwqIR/YGw+bCBGxgPCESOqUEqU9H1IIIOeNh/zAx7ha+//lq+lHuFu3fvyhTcy5cvi2PHjklBGalmmCFZsGCBFCcQRTZt2vtawcuqoeCv06j6MU7OGKH+GtbpRt2RXIAGFdgfv4izCqQ/4jrEtmNG3ylwHLBOvHR46X4khLgHynLgeRNW1IQiavkiiiyMIIIQnfAxLnR3dxtL3UW9lHtlwh+iF9I/UbIEYynEAqSboZQIrh2MqxBYsc3wKwnJJ/v375fXXi5qymKMQAka4i9CL5A96H8ou8X1dD4QX3z+tfh22Qrx6afzQlU7QYlCqhB/WHOk0aAB+79p0yZjiTdobW3N+XYhVQzXPIrrImpw7969Mk0CkZVffvmlfLijY99LL70ktyXREG04bdo0WbNuyZIlYu3atTJ1cfu2PVrBy46hmL2TIP0O247aaU6BlyQUJg4SSD33klhsBjy/cJ2+8847jtaBwT2gmgA4HXlICPEPjx4+lr4jbN/e/eKzz4pCV3gZfolKZ4cPGWbQ7Of1119P2aTILdavXy/HQkS35QJEysGHamhokGU14EPD94MPiNp8uD4gGqLbq/IXlaELNAQxCIvwMeFrQmzFZGu+m2IRguwXlF1xuqSQSt/020QzCalABuemu/OBqK++I65d1L+QN9d1i76eAfHkSXBbU2O2DzM3uHkR8fPuu+/K7olhREWHYDbLi5SXl8vtsxIRgzRCFIasra2VD+nffvtNbNmyRRZDRVQaCpmj2xHOPdadaC+//LK8HhBNiZTJ0tJS2dYes344VlgnnC58Ryo6btorzq+zgfvOpizgWMBxTAVefFD7DM8KM88AVYvmwoULxpJggKjSdevWGT/5A0Q4wvmG041z4kQkrErdnDlzpnT6CSHhA92GbzX3accoRDr33x00/jLYQAiZMGGCHB9yWbfHDyAtC+MNJhe9BqK24ONZaSSB7u0QexsbG2VmDUqNoPECxDbsK+rMYiJw8uTJcX8x0SAyoBYoRMPly5dLwQtRbJhUQukJiIgYownxGmpy1cm6u/AZkZFF/EfoBLKujn5x/XJn1KHpGOXg6AxFwlFoPGicO3dOzt4gQgSDWklJSWgLzcLBQ2qp17tR4UGL4uAIU7927bo4eviE2L3jkDh+6II4efRq9N+L4o/fq8Th386KLxcsFhP+PWGE44J9hLOE7o0QyFBvDlFp+/btk63qcRwwc+fUdZDqRcKOOV2oHx0m33vvPeOn2OxR750Buc11V/B8GPn9NyCYdw8Yfz0SFeEXxGYWqOOFa8VvrFmzRjrqmLnGrHQ2oKgqoidVV98g1JcjhJgHEyUYA5LHBZ3dqO8RgwO5aSzjNngWYoINz0H4D0NDwdxPs2CcwbFA/Syvglqw2EbUyYM4de7sebFr+2/i53VbxPcr1oivv1oiPvl4vpg+fYYcM/G3yQYxDKIYxDGIZBDLIJodOXJETgpCTIOoBnGNEL+iyoo41bwLE/FYH5o7Ef8RKoEM4ti1S6Nffs1YkEQypM7hplUplRBIwgrEDTgFuW7x6wSYzfvww5nynEEA273tiPZaVVZzvk3UXG6W++hGJ0LMqOu2y44NPXK28wvEUHXOHz9+alrM0wlliFRCg48gOodIlUBNOb+hREvUfkAK8OCg/ec3ZhWxLqRsel1EJ4Q4C8aHlvoe7XiQyhqqu8QDh6Oe3QZR44gMwkRb2JsSAETUY1zww7HAuDVlyptye5W98spE8dbUd8XMD+aIz+Z9JZYUrxCrf/hZbC+vkOmSyFZAEwovNBwgJF8giwgTotmC+wZBKEgdJv4kNAJZTBzrENc1zoxZ87tIhhpTmAFSAyTq6ThZxNpvIMUUs2IQAO7du2cs9S5IMzxXWStOH6vRXp+prO1Gn7GG/NLT9UC7PXbM6RpkiKLDDDgiA6y+/MD6emKppXv27JH3EmqaBRGkRiAKy4/gpQD3N86P3Y6TKLiMF0L13GxubjZ+QwgJOogsthsJjUjkoKRcqu7MiKJFg5uwo8b97du3G0u8Dcpd7N52WPy+55Q49Ue1uPJnq/aaVeaWz0iI26gGXtkK30pAz1X9P5J7QiGQoZ4QHvq1JtMqUxlepP0KQqFRM2LSpEnypkVkSJhBagCcPaQcok6X10Htk/rqLnFNpgfrr8905obDExkY0m6LVWtpcP6+Q9Tgr7+Wy1qDuu80Yw31N2S9giDfS6rAqB8E5GRQEwbbjkhB1NOzA2YTEWkLkTDsz0xCwkZsYlX//DdjfvYZAWpFofEOnqMoS0CErKWF44HaWn6g4+Y97bWZySiSkbCCyVWUtLELGlegLqHXGr4Ra4RCIBseIOyJC4kGocJPYAYUBdYxoCPVCC96bKEsZOF51F+rq6szlniXh4OPtdeiVbt9K/8iR9O1O9ptsWJO33NoLID7YW/F79rvM2t7dh6R3TuDXIcFEaY4VuhSBTDZcKfjvnym3ul4IPqj5wZReNHHjKfAPYOachf+vCZOHjsvmupvi672fnktPR4ylwqLuirYd9T9QyMLRJwSQsJDQ433xq98gTS7qVOnyskkTJSQWJkLjAl+SZuCz6e7Js2aGz4jCR7wueCP9XVHZOq5F31GgG3C8/rk8XPidluvuNcbseQzKlCnEc/NbEp7EPcJhUCmK7pt1xBu7xdQGBAqOJRsDOoLFixguGcUpNbhePglLQ4dV+X1d3n09WjF0JzC6oM+WzDA6LbFrOXCQVP1qQ7uO6X9TisWxAYeiSCC4LPPisQfR06JuupOUas5BjBENyLaIt/XVyJIw+1s65eNVZBKnyqd3uy2osMvIs9wrThVtJUQ4g/wQqd7flg1P/mMCkQ+4LmHBi1IMyfR94i6Otndu7i42FjifRpqurTXpFlzw2ckwaGvZ0DcTJGijmuzu/O+qS7xueZu9D0lVYOu2LbeMe3fYjIZz869e/caS4hfCbxAptIrnTQ/UFFRIW9S1Yp5y5Ytxm/CDcLicTwQJu8Xmq/bTwNMNjzk803vHXu1yJD+6HRxfgCReMumreL0sVrt91oxRFIFGTgOVpzs+uqYI5FvEDFmtSmEcnp0qEiBTz75RLz99tsyEpcQEh6cbDLjF9DFGinpePb5pb5WPoDPgHIcGA/8UrQek3e6a9GquTGeE3/z+PET0dFqLnoR7zepOsTngx4VgGDC0vmMCgjoaGZC/A8FMhvmZdCtcOnSpdLBQVoQXu6CWkDcKmhLjeOCAqt+wan0SmV4wLvBndv3tduTyjCb43Rh/kTs1uVINkQrBRWkJGIf7TQ2yWdqBp7x6BpntwGLLgUKL0KIvsXzgh3bCAkfYRPIMGmICCl0ZL5y5YqxlNy/f1+OBTguPT3+qSmHGmK6a9GqueUzEn8y8OCRrUl9NPXKN7dv2asxmSptHu/a8BkrKyuNJcTPUCCzYV4FNycEMQhjuEkhlEEwI0K+5OKY+C2SLkjXLwbOtpa72m1SVne1S6bJ5RqnXn6uX/ZPdIAVMEsm9y9pf60YUpRyDWpZyOYVmu83axA5sR4FGprgWYEuv3PmzDGWEkLCRJgEMjQjwTNvxYoVrJuTxOeffy7rCaE0g58IYwQkcRekIEJQ1V1DZuyu0R0+H1idtE+0ZJ9RMXfuXPm8IMGAApkN8yIQfuDgqJRKpFiSGGfOnJHHBE6g3wji9YvZF4hgiBLDTBPy/m829cl0vsc5jBpLBBFHumNj1ZB+GDSGnRzvNzXpNKLcsrXEOkHvvfee+Pjjj+Uz49y5c8ZSQkiYCIPAcP36dTFr1iz5rDtw4ICxlCgwyYxO1dXV1cYS/0CBjOQbNbGajeXaZwSoewaRS/f9Zi25tuShQ4fkcxTd00kwCLxAhhsBF3M2kRCJhrpIXgK1EaBY48aEIRQcxflJDDys0KQAjo4fCVMEZD7JZpYr0dClM2g4ET2mLJfRgIORIXH9ChoHdGi/26pBGFRp2OhOigLVhJBwgm69uueEVWtp8GZaHopI41mHqIempiZjKVGoqDpMsPoRCmQkn2QbPaYsHxkkdusiJ1ti0f533nlHfPvtt8ZPJAgEXiADuOF0F7cdy0fakFmOHTsmXn31VTFx4kQ5kC9ZtFxGxkAZb7txV25r4g0cNlpaWmRovJ9DXimQ5Yagv/zYBbXopZNz2ZnOv4gQzBVOnUNlne194pVXXhHz58+Xz9P6+nrjmwghYQMpNLrnhFXzWqdj1NRatmyZfMatX7/eWEoS2bx5szw+fq4/SYGM5BMnosdgufQZFfDbdd9t1e71xp7t27Ztk8+Lmzdvyp9JMAiFQBYZGJIX83UHUoZ0ecdu0NvbK954Y4qYXjhTTJjwH7G5bJd2e2Fd0RfJsIFiqiiqivQBOIR+JttQ4ETL1IElLKAemu74WDXUMQgSSHHV7Wc2lqtnJhoByO+4OPo77djxw1VSIHv99dfFqlWrjG8hhIQVs53YUpkXI4wRJfvaa6+xkHQKVAd4HCc/g1Q13TVp1egzEjM4GYiS6/dsp0qsYHy4e/eubG7CyYbgEQqBDDjR0QUFxj3BUyHzn3eWH5TbdfzQpVHbmmxQzHPZFdBLDA0NiU8//VQ2LEAKqt9RMzO1SefUjg098obA6wVu1Gc3i9R0rVumcAcJFTXhVNoiDGJkLsjU8MGqVWw/Ij777DOZkt3VFbzacoQQa2QrMnh1AqWzs9P4H0kEnTwhjpWVlRlL/E2TjW6CyUafkZgh28mERMuVzwjwHqz7Tjt2s6lXrFu3TmZysSFe8AiNQAayEckQreAVcFPqtjGTIeQ6DKB2ECJB6urqjCX+RkU7ZSuQeeka9gJIX72eRSqhl9KtnWLQiLZ1QoxV9nBwyFi7s8jnoEPRY7DNZTvly5HfOt0SQnIHUiR1z4tMxsgbf4Eu8Hj+//DDD8YS/9PdmV2tJfqMxCx230t1liufESgf1wn783S1fGbs3LnTWDsJEqESyIAdkayr3TuODtIlddto1tD1Lch899138oF14cIFY0kw6DEcHbtpwq2NvbK+FBlJX8+A9nhlMsyWBZGHEcN5uOhcBNlQjuogdtzEjKUztdJgCz5fKKZMmSIePcrd7CUhxH9YFckojvkLTKYiTaq4uNhYEhzsBgbQZyRWQFaT7jqyY7nyGYGTZUQWfrlINnQiwSR0Ahno7rwvGmu7ZJREbZoIhFvRgSUfLWfNglBn3XZaMUTMBHXQ+/nnn6U4huYFQaSv256Yg1RCDApED15mrHTfCfrLj5M172CTJk0Sb7zxhnj33XdlTcCioiLxzTffyC5hv/76q/j999/l7D2aaty7d088eWLOOeq/a7y0OhBFVnWqQXyzpET89ttvxtoJIWSY+/cGM6Z14/de8hlJZtra2sTUqVNlWQ6U5wgiVkUy+ozEKnd7ItpryapdOnsj7icuWbJErFy5UqY8b9++XRw4cEDWTrx06ZJoaGiQJXSQ2vjU4kutE2LeyaNXRfHXS8TRo0eNtZKgEUqBTIHUtc62e3Km5EZDt7S2lj75AuzF7o/Zhksr81pXJSfAwxPiGFqXBxmcu5ao8xKrEZU5egYDgVcaS3gZ3O+ZhDKEkC/4/EtRU1NjfCqY3L6liq1mH0W2d/dR2f4a3WTRbfff//63rPGFezWdvfTSS+I///mPFNcQ1fXee++NEtd+2fKL2PjTDnH4t3OiNsuIt+tXOsVgJJgvR4QQ53jy+IlMr8d4kWhh7hjuV/ByPXPmTDF9+nTR19dnLA0mSJc0U1KCPiOxg6pfm63VXG6W/h067X7xxRdizpw5MkoLzZPgF+r8RRh8RUzCfvTRR+Lzzz+XfiKaLW3YsEE23MBE7MmTJ6W4dulCjfa7rRh9xuATaoHMbzjVmhapSUECDz48IMNUOwiz1Lea+sR1nFNNBA3OMbq3EmvgJQciJMRoOJQQxfB/DP5wpiHQQOA5ffq08YngsXN7hTh74tqoa8qOpboGkcaITrz19fXyWELY3rRpk6z/gjQXzOZ/8MEHUlyDY4SaghDXkp0i2H/+87L2u61Y0FPPCSGEjARNWRDd3NraaiwJNukmAukzkmzJtvEVLNM1+ODBA9lkpKmpSVy5ckX6j4cOHRK7du0SGzduFKWlpWLp0qViwYIFYvbs2XJydfLkySN8Rky6ZpspQZ8x+FAg8xF1V5ypt4OHWFA4deqUfOCtXbvWWEJIbsHMFq45hHsHjdraWrlvx46c1j47rFiuhPhEca2+rl6cOp65i286q6/u4ow5IYSECESYYNIl6BHhhOQLFMBviPpTOj/LjOU6eOP+/fvi9u3borGxMasOxfQZwwEFMp+AHGvdjWrXgsDVq1dlNA8EC0LyCQRZCEnl5eXGkmCAOn5vvvmm/D+cFUQnxtJ59c+RVNbS0JvTTkSJoKDrjbrutPUkUxmcOdYMIoSQ8IAoE4zfZ86cMZYQQpzgwf1HtoI58ukzKpAqr9uWdIbIM3TAJ8GHApmP0N2sduz6Zf8LZDdu3JCpV59/vkAWr6+90CF2brkqVi87LW3t8jNi/ffnxOWqdjEwwK50xHlQYB5O9o8//mgs8T9IaUyMxuxoTV+UWmedbfkPPX84+Fh2FtVtTyprdcEhI4QQ4h5I5ce4va28QuzYckX8vOrPEUafkZDsQAOl5uvdWr9LZ274jAq8P5rdVjS7YPOK8ECBzEdYeeCks4aaLmON/mXfvv1ixvQPxe8VNaIs6tR8Puv3lPbFnINi++Yrouv2fePThDjD/v37pbP97bffGkv8C1JNsC+o65DIwP2Hoq25N1br7vLo54kyNDu51xsxPuUOmNnL1KEITS4wc2i18xEhhBD/8vDhQzF3zmei6JMftL6iMvqMhGTH0ydPRU/ng7S1vlDj122fETyJbmt35335bqzbTnQnvuuB7ST5hQKZj0DRcN3Na9X8XlwQ0SIQC7duSC+MJdvKb07R4SGOo+rgoXMOahz4FUTCvfXWW8ZPo4H41NP1QNy6cVc01/WIpmt3ZGqjamLgJZB2iS7FvdHtRRRcp9FpjnUjCCEknBw90KD1DVMZfUZCsiNd4yuvgUlTZBWg7AYmURFdxoix8EKBzEdEoi98OsHLqg098m87ciWO7dp8VevQZDI6PCQXoB7ef//7X/Hhhx+KtrY2Y6m/ePvttwOVLkoIIYQAq+KYMvqMhBASPiiQ+YxbN9KnD2WyOx3+Huhv1PWI33bUah0Zs7amhIVZifO0tLSI6dOni6lTp4pr164ZS/0B0ioRBceOXoQQQoLE+TM3tb6gWVuznD4jIYSECQpkPmPo0WNRf9VeG13UCPIz93oH5X6sKTmtdWKs2NULHcZaCXGOvr4+MW/ePDFhwgRx7tw5Y6n3QWH+d9991/iJEEIICQbrfzin9QOtWHNDj7E2QgghQYcCmQ8ZuP/IskjWUN3l69RKAIHv0tk2rfNi1TasrjLWSoizoI7BkiVLZETWoUOHjKXe5s033xQ///yz8RMhhBDifyBs6XxAq7ZvR62xRkIIIUGHAplPeRgZEi3RgV8nhiUbCmn7vTj1o8HHcl/2lFdrnRc71t31wFg7Ic6zevVqKZJt377dWOJNLl26JLeztpYvAIQQQoLDtk2Xtf6fVVtSdNRYIyGEkKBDgcznoPUsuoIki2Kwlvoe0dczYPylv0EHPezT1rJLWufFjjFknuSaLVu2SPHpp59+MpZ4Dwh57733nvETIYQQEgx+XmWt23k6I4QQEg4okAWIwciQTL+MDDwST54EqzUtBTLiV/bu3StFshUrVhhLvMUbb7whNmzYYPxECCGEBAMKZIQQQqxCgYz4AgpkxM+cOHFCimRffvmliEQixlL3OX/+vNyuuro6YwkhhBASDCiQEUIIsQoFMuILKJARv3P58mXx2muviY8++kjcvn3bWOouq1atEoWFhcZPhBBCSHCgQEYIIcQqFMiIb7hR3yP+PNGqdVysGpwmQvJNc3OzeP/998Xbb7/tiaityZMni02bNhk/EUIIIcGhvvaO1ge0auxiSQgh4YECGfENaDiAKLLSpae0DowVq73SaayVkPzS3d0tPvnkE/HKK6+IqqoqY2n+wXcjvbKhocFYQgghhASLld+c1PqBVuxGY6+xNkIIIUGHAhnxDWg80Fh7R1T8Wq11YMza2uVnjDUS4g5DQ0OiuLhYClRHj7rTPv77778XH3zwgfETIYQQEjxOHm3W+oJmjT4jIYSECwpkxFfcv/dQ1F3tEmU260qs/OaU6Lp931gbIe6ycuVKKZLt2rXLWJI/UA9ty5Ytxk+EEEJIMNn161WtT5jJ6DMSQkj4oEBGfMfA/UcykmzLugtahyaV0dEhXgQ1wCCSlZWVGUtyz9mzZ+V3oiYaIYQQEnQO7L6u9Q1TGX1GQggJJxTIiC8ZjAyJW819sqvlkqKjWucm0X756SIdHeJZKioqpGCFtMd8sGLFCjFz5kzjJ0IIIST4HD3QIEoWHtf6iYlGn5EQQsILBTLiax70P5RC2d6tNWL51ydGOTl7ttWI9pv3jL8mxLv88ccfUiRbuHChePjwobHUeZ4+fSomTpwoysvLjSWEEEJIeKg6fVOsLjlNn5EQQsgoKJARQohHuHDhghSv5s6dK7q6uoylznLq1CkpxLW0tBhLCCGEEEIIIYRQICOEEA/R2Ngo3n33XWn4v9OUlJSIjz76yPiJEEIIIYQQQgigQEYIIR4D0WNz5swRr776qrh48aKxNHuGhobEf/7zH7Ft2zZjCSGEEEIIIYQQQIGMEEI8yODgoKxHhnTIY8eOGUuzo7KyUq7v5s2bxhJCCCGEEEIIIYACGSGEeBh0toSohU6X2bJ06VIZmUYIIYQQQgghZCQUyAghxOOUlZVJkWzTpk3GEuugM+a///1vsXPnTmMJIYQQQgghhBAFBTJCCPEBELYgkq1atcpYYo3jx4/Lz7e1tRlLCCGEEEIIIYQoKJARQohPOHLkiBS5Fi1aJB4/fmwsNceSJUvEJ598YvxECCGEEEIIISQRCmSEEOIjqqqqxMsvvyzFrp6eHmNpegYGBsT48ePFrl27jCWEEEIIIYQQQhKhQEYIIT6jrq5OvP322+L9998Xzc3NxtLU/PHHHzLy7Pbt28YSQgghhBBCCCGJUCAjhBAfArHro48+EpMnTxaXL182luopLi4W8+bNM34ihBBCCCGEEJIMBTJCCPEpSJ384osvZHRYZWWlXPbo4WPR1zMgejofRP+NiO6ufrF48Tdiz5498veEEEIIIYQQQkZDgYwQQnxOSclysWvHb6K5rltcu3Rbay31PeJeb8T4BCGEEEIIIYSQRCiQEUKIjxmMDImWhh6tKKazm029YuiRtQ6YhBBCCCGEEBJ0KJARQohPuX/voaiv7tIKYensZmOvsQZCCCGEEEIIIYACGSGE+JQbaVIqM9ntW/eMtRBCCCGEEEIIoUBGCCE+pK97QCt8WTEU8yeEEEIIIYQQQoGMEEJ8STbRY8puNvcZayOEEEIIIYSQcEOBjBBCfAZqj+kELzv2eOiJsVZCCCGEEEIICS8UyAghxGfc6xvUil12rPcO0ywJIYQQQgghhAIZIYT4jL6eiFbssmMUyAghhBBCCCGEAhkhhPiOns4HWrHLjiFdkxBCCCGEEELCDgUyQgjxGU6mWD4cHDLWSgghhBBCCCHhhQIZIYT4jMePn2rFLqvWUHNHPH361FgrIYQQQgghhIQXCmSEEOJDbjb2akUvK9bV0W+sjRBCCCGEEELCDQUyQgjxIRC3dKKXWUP02OOhJ8baCCGEEEIIISTcUCAjhBCf0tZyVyt+mTFGjxFCCCGEEELIMBTICCHEp6B+WEt9j1YAS2e3b90z1kAIIYQQQgghBFAgI4QQH4MulB0372mFMJ31dD4wPkkIIYQQQgghREGBjBBCAkBkILVQVl/dJaPG7t97aPw1IYQQQgghhJBEKJARQkiAePL4qRgcGBL9dwdFT9cDimKEEEIIIYQQYgIKZIQQQgghhBBCCCEk1FAgI4QQQgghhBBCCCGhhgIZIYQQQgghhBBCCAk1FMgIIYQQQgghhBBCSKihQEYIIYQQQgghhBBCQg0FMkIIIYQQQgghhBASaiiQEUIIIYQQQgghhJBQQ4GMEEIIIYQQQgghhIQaCmSEEEIIIYQQQgghJNRQICOEEEIIIYQQQgghoYYCGSGEEEIIIYQQQggJNRTICCGEEEIIIYQQQkiooUBGCCGEEEIIIYQQQkINBTJCCCGEEEIIIYQQEmookBFCCCGEEEIIIYSQUEOBjBBCCCGEEEIIIYSEGgpkhBBCCCGEEEIIISTUUCAjhBBCCCGEEEIIIaGGAhkhhBBCCCGEEEIICTUUyAghhBBCCCGEEEJIqKFARgghhBBCCCGEEEJCDQUyQgghhBBCCCGEEBJqKJARQgghhBBCCCGEkFBDgYwQQgghhBBCCCGEhBoKZIQQQgghhBBCCCEk1FAgI4QQQgghhBBCCCGhhgIZIYQQQgghhBBCCAk1FMgIIYQQQgghhBBCSKihQEYIIYQQQgghhBBCQg0FMkIIIYQQQgghhBASaiiQEUIIIYQQQgghhJBQQ4GMEEIIIYQQQgghhIQaCmSEEEIIIYQQQgghJNRQICOEEEIIIYQQQgghoYYCGQkVlfOfEc88k2gviLJW45e2aBdlLyav8xkxfku78XviBu0bXhh1TopOGr8kWnovl4nCF8eIZ3G8Cp4T4xZWiojxu5FUiqKkY/vMi2XRO4EQQghxD+d9PA9zsihpX6NWUCSqjF/bQzO+P1Mgis4avyauEKrrmhAPQIGMjKJ9T6EYW/CMePafxaKy31iYJblYp10i7dWifNYYRweZSG+jqIiv8xnxwgbKBa4T6RXV68eLAuOc5FIg662rECVTXhBjJvpTKGrcED1OzxeJyt52UTGlYPjeqK8SJS8+KwWzSVsajb+OMhQR7TXlYvbzsWPrTYEsIqpWvCCejTr3z00uFwlb7wLtomzCc2LclGJRdpLPBkIIyYpIirEpSi58PM8S9XPaz5eK8VH/Ora/0XHc+JV9IqK3vUqUTlC+ACcYPUF/uzg4PyTXNSEuQ4HMN/SKxj2lonDiWDHmL2ogfFaM+cckUbimQlR3GX+WNSMjopwZFHOxzixpKhMvyO1xcJCJHBSFxj5SIPMKlWJ2Lq+7oUZRPm2sKHimQIydVioO1vVGF+qjCsfMTxWRpf97Zbm+liJni8SYxO9pqhCFfy8QBX8vFlVHE2aoNSJY43ojUs+TAlniTLj7zmSktVKUzYdg94x4dmKpqHZ5ooAQQtwh/ZiX2hKe44nRU7rxJxc+nodpXDnWOB5OCGQGdaVirHGMKZB5hJBd14S4BQUyH9B7tkS8IEWxZ8UL88vEwZp20dvbK3qbqkTFhqLh3y2sFHg9z5Z4tNeLJaJK/0ZvmVysMytaczHIDL+QOyVqxFMFmcJmk+Fz4ryD1yjK5AzrGDF7f9KdNxQRjSdLpdAUc1phBaJwf6qLPxK9nytF2axxRsRbgRi3AMJ3rm+WXlExBd/3N1F83liUSHyWfqwo3DP6Ckx/feby2JthOIJs7LQKz9w/vcdigmTBhFLR6IVnISGE5BsZhVwhiv41PEbO3hP1a+HbJtjIv0nw1zKMTel9PLfHJucZLivhoEAWP4bOHad4quB8x7YyXOTk3YUQkgwFMo/TuGWSURNovCitSfE21V8dD4UumFDmciqRT6BAFhJy5wg3rhwn1ztuZZo7rr9SzP6f2PdLi97HZU3G77Q0itJ/RP/uH6X5uY/jUY/27gNvC2TeRUXejVlQlSKqkBBCQsCx2bExJN04ER1Hi2Q6v4VxigJZ9lAg8x4UyAjJCxTIPIxKfUofeWLQH33RNWoQpE7lInEokIWEHDnCXeViEtZbMFsczHCzSYfwn+PEOGM7cC7TiV/y7+fmyXnM8j6gQGaXKlEshdNxorTOWEQIIWEjIVUy3TgRif7d3yiQpYQCWUigQEZIXqBA5lmiL1CqAPY/zUWTNK6JRbQg5UubLkWGoUAWEnLjCKt6HwUmnDzpEEb/ThbCN7YlnYit/j4vUCBzDSvXECGEBBKTAlksupoCWSookIUECmSE5AUKZB4lcmh2/GV6bLoUrkTixRujL12zDsZfwOMDkvrdgiohhtrFwWVTxbi/FsRrOAwPsMrGi3KdKmN89oXnn036+5EGkSjjOpPbVKsW1V2VomTKOPGcjIorEM/9q1CUpUoxje5p+6ESMfXFMbF0VNhfxogXppSIylTNC7IaZHpF9dZiMfVfzxnn6Fkx5sWpomRPqZhqfL9eIDO7nZkL2I50VmzsfzraD8Y6MsabQejMOG4pzp/cHnl8NPWfuqpE+fxJYiyuPfm56Pn9+yRRtLU6STQadmKVyf2W26euDRz76LVxOVX1vWRHGOeuSExS1270OE2yXLvPSIOMfj5jZGeUYcErIg7OUPs8Jro9+s9mFMjQMXXE/Td8/MzuR/IzIdmKTo4+9vK5kYRWIEu+JpJNI6b1Xi4XRROHr99nn39BTF12ULQPGX8gGX1fjN8SXVNvtbye5PX6lxdEyfnI6P1Lan2vfSZG6T2mrlt85jkxbkZZ6mL6Fp6DWs4WGd/j4AsNIYT4iQwCGSYSRj5DzY1NWh/PA2PTCBJ/j88ZftvBFEOGJOr/lM4Y/kzBX8eKSfPLRPnCLAQyjGVrCof9oujYN3ZikSjbUpxeIBvqFVXwp/6ufGG1PeVJ4+boczbSkvxw0+s1R+wcjjV8xlQWO25a30DzvpRIpDXZZzbeCY4leWQJgmPMYvs94hqTx7449TWQfF0nblt0ecFfx4nCDcm+NCHEKhTIPErlXPUALRBFZ42FGakSRfEBoHBE6lfv+ZLhB/PbRaLoX+NF8R60wjaW/U+xfIGMdCW2dk4atABqQcjC42PEbDVIRAd59ZnnplWIRlVg1fj+jOuM/r4k7lwUiYrzxdGH/RgxaUaxKJ4bffCrQadgvChP/qxoFOUTMaiPFcVqMIoOrpWLjWLnBdHjoBtQ7Qpk8f1/VkxaUyV6DSep93yZmKoi/qI2+qXY2nZGjGNYvdJwev63VFSr4xq1SNw5s7n/KUAaA5opPPP8bFGhTu9l1UL8OVG4s3F4G2K/Tjp/U0XRgnFi/MIKUb1V1RYZLgAfX//kqCOqro+68vixG1XPC47SyuHIqxfejjpxC8pFVRO2oVFURp06ub7ofTJusa6e07BjVnSoUZRNfE489/8KRfHCYlGIAr/G78ZEP2ua9nIxXn4ueu2krScWY4TgFa+lEjXt9Zz090lEaoxz8fxUUXZ++HxXbZgaK/z+96iTZ+Z89xvXUvTcqvug9LKxTF1faDSwZ7aR5q3fJq1AFv1cbD0V8Q6iI4svJ56liKiS1+oYMXWDup8iol197/PJ+xP93c5C8TdjvS/MjTrR/yoUpScrRen/xpY9M6VCCoWRpuj3x+/J0S8NI56J8yvkdjz3/CRRGL02Zk8ZF38hKphQPuqlyc5zcBTx62gs0ywJIeEkrUDWKEr/qfGnTIxNWh/PI2OT/Gv4udGxfMzbZaLKmMiMtKoxSz+BpmoSF/w96p+1Gr+PtIuDUZ9L+UiWBbKmcjEJPnbBWDmWxdaKSdciuX2xdWrOTXwMnBQ9vmpbov7o22Nin0nKfFE+bYV655gVPRbx457gT1pcbybix2wCfOjYsvg5fGacKDk7+tybfV8Cav1jMdGq3gdOxs4t/NJRk6jR81Uxy9iX6Ng/9e2oz7HmoKhuj25De7WoWBjrdI1rYGrU3x5F4nV9GcfqOTFuyuyoTztbTJLHLfa9U3eqK40QYgcKZJ4k+iKvBlRLAk7iLFbyS1fC7+IDOyJajGWJERbx1s6jv7tq4d9ifz+xfGS0SvQzsRpLKWrqpFknGI40KxBj51aMnJ1rKjMEGk00Xdy5ShYSq0WJEeWjjeCwJZCproUpBJX4MdB8p83t1AoQidjdfy2qLtIzYtLWkYNrPH03hXMyfP6GHbvIoUJjmdq2hGswSXSI7JkaW66NpqmMO7MvrB/97RDdYs7O38TsY0nOSIJAVvCXSVIEGiYiKuca17OVKJ74MR8pQqdilOAVdYyVY69rqpFSIGstN+4D/T2mmgZYatSR8T5IeEaYFcjiDB977exzlN6dU6Vjr2t0oJ41idGwMRLOaXxfYy9SclsSrq3IfnUN6s5vwvVovBwkMpwSO1rAsv0cHMHwfpiJRCSEkMARH0+TxonI8OSY3odJPzalH9tcHpu6KsRUjOU6fyrqH0iRLam+adzPKZgqKkZlBiRGp1vwZeITdnpBBeOnEt6Sj9Owz5eUFdIf3Te5POr3aY5tPEJLd86i2F2vFlUrdlSX7ujxmhU7XqPPITD7vpRwvpOiGKtXxEooaH2jeLaPzmdN9D2i127yJGz8ui6ICaUjVh59R1HbneqdgRBiCgpknmT4oWtNwEl4gEdt5CCS8MBPGJhiET0FYuzChOiblI7F8Dr+NkogGt5m7cxFhhfx4UFxtmZwT9iv5OLlcDT+Eh2c/jppVDROPArPsvOkRzlMmNkq16YuDh+DUQ6dze1ML0BEsbv/OuLHJNmZiBJ3YqPOmeb0Dp+/BOfMmAks+HuxqDIurqplY6PH8NnR0V5xh0F3PoaPq94xioiKt2O/H+1wJlyXe0Y7InFn1OJ1MGpf06ATvEbUI4s6VolbphfIhh26xFnoEcSdwQIx+5BmX3WYuA/SObTpr89M500Jsinup3h3s+Rngv4+i83kPismbU3Ykvh1m0Eg0zVFiHf4fCbqxBrLJFk8B0cwPBFiXsQmhJAAkSCQpbJUz8e0Ykvasc3dsUkJbMkTkTGGJwSHx53hmsR/i/rqOrQ+WAaqFhuRTAkRUSOIH0PNcTpfIqP3n/3nsH8XI/24lkkgs7teLWn81vjx0u672fel3qjv+axAWuQIvwPErxHN+cjodw1PcI8S8OKfHStKaoxlCVj1TwkheiiQeZLhQdbKizsYTs00J5BpSfnwNvdiqI2GyDAgZBrc44OqhVkR+86TjuhAOMVYXyqBIuEYWHnhtS9ApCejI5JM/JikE8j0UVN2nLMRpD0fmZzZRKcgOdonw2ctXwfW91Weh1HnoF2Ux9OOR6ZT6P8+uh9GFKUuii7GsAP5zAzdrKgGE/tv//rMcOyj11RMJJwddV6HUy3itkc5mMnbZuE+i1+3unOV6ZmY6nuyeA6OYHg9putMEkJIkIg/o0emO7bXHBSlRlpdqud8Wh8nG58ip2NT9G+MsXxkeqey4fTP+DriE3ka38zAug82nDEwehwziB/D1L7XaIbHNd0xsOyXxkm/Xi3xayuNQPYPXVZEJt/ABOl8DxN+V9ViI0o92efO9Nm0Pg8hxCwUyDxJwotumgfoaBIe6ulSLDM98NM8gFO+EKvUIm34d5QMD/VMg3t8UM0oFEVEb02FKJ0xfrggp2XnScew45P6+JlxjhTmtjO9AKHD5P5rSe2AqBTLghTioHXnzKC/UVRuKBZT/6nqgenORwZnFqiC56P+JsNnLV8H1vdVL3hFiac3RC3hvtH+fUIDjpHRTCOJC+Rap0+Dif1P59Cmvz7TH/vh45jJkrfNwn2W1lnM9ExM/T0p9zvTc3AEDjjhhBDiZ+LPaN04kaIGmUFasSXt2Obi2BTfrsym1jG8PanH6eG/MemDJWyHmW3V+k+JoC7cyTJRnFC/U7fetOdMh8n1aolEz4cUAZPTMocj8vX1Z+2PzZGualGxplCMjzeh0pwPE35X+5bxxueT/ibTZymQEeIIFMg8SuV89XBNri2VjuEZodGRPs4IZIikOjgXaXIFYvz6xliUSrw4dYqikiDDQz3T4B4fVFMIRTFRaJIYg043C8tEZVN0ALTtPOkw81Ke+W+sbmfKF/EkLO9/KroOitko9FkwXpTVxS6geJH+56Mv/SmK0ltyziLtMVHsX8+J514sFKV7qkVvXbrzkd6ZlcTPZ3LaQobPWr4OLO5rFK3gZTBcP+2ZeM0S7d+nfYkYJn6fmHWOTOx/Ooc2/fWZ/thbPY7DmLkXDXIkkEXvCnvPwREMf3/KGXxCCAkyGca20V0sh0k3NqUf21wcmxJ8lXRjeSJmtsfyNpvZjox/ExHthnj13F9fEIVrKkR1V2N8XNMdg7TnLI719aYCjY1kE4Lni8RBY9JKFekv+FexqNI2NbIokBmi2KTnnxNjJxeLspNRn+BQGt/DhN81fF88K4oT3wEzfTatz0MIMQsFMo8SOTQ7HhGTOqUqiYTBbHThSacEshiNa9TsBuxZMWZikSgfUQA9iQzrzDS4xwfV5Bfx/uhLqeziiG5A5aIxobi/fedJx7Djk/plNo1zZHM748cllUBmd//TMdQoSv+f8VnYX8bE2munOb1mnbPe/bNjXScLxkUH/YQVpj0f6Z1ZSTwFIflvMnzW8nUQ3df4zJ45B0SehzTnoHG9OnaxgsDav0+IIEuXuhePIMsgqMYxsf/2r8/0x374mtHVHUxHmvssmZwJZDEsPwdHYKOmCiGEBIkMAlk60vo4WfgUOR2b4tuVPho8keHtGZ0qqDDrg8VJ2I6U9TIT/mbUcVKTqc/EOogPr2F4XNUdg4x+qc31pqU/us7/z/jeqBX8dZyYuuzgyGZgIzD7vhQR1WtiXSwxgVyeOIGczvcw4XcNlw1J+ptMn6VARogjUCDzLMNFOc22NY53GnxmjKZOgVMCWURULRsnCl6MblPKwUVDhod6psE9PqiOeBGPRJcbefqaY2TfedKRcPxS1ndK5RzZ3874cdEKEFnsfyoiVaLkXwXihTUmRVkDU85Z/JhrWl+nPR/pnVkw3K0w+fMZPmv5OogSd0DMOc/yPKQ9B43x7qi4d8fgvk/++0jUwTNSZs3UICswe85N7L/96zPDsY8ex9gkwOgukekx8RKiSOssZnompvsem8/BEQyvn10sCSGhJP6MTj2+p8K+j+fm2BT9G2MsN1170sT2WBbIzGxH/BgmH6fhsbNglD88/DvdMUjvl9pfb0paK8TU5/8mZh8yO3EFMvkGMZABEJuY1XStTud7mPC7EDkpP5/cYT3TZ9N9LyHENBTIPMxw+pVGUEim/6AoNAa7MdEH+ui/NvfAl6R7ALeXi/HR35mOalNkeKjbE8iq0g7w9p0nPfFtLCgUB7Vh2amcI/vbmV6AyGL/UxCLjooekxSplKkw45wNR15pCv2nPR8ZnNno1R5v2T2qRlqGz9q4DtQ9YPY4yfOQqWh+f6WYHU+Pjtqocza8j89MLE/aR4OULc3TYGL/7V+fGY59guina6WvqFo2XhSNaIWe6j7TkNZZzPRMTPM9dp+DicSvI6svYYQQEhDiz+hU43tq7Pt4bo5NCWN5usnv8yVifHS/5NrjtbRSb48ZH2wk6SdYJfFjmHSc4mOXbnInvZCV9pxlsd5UVC3AsbYaCWjufSm27ujf6Gq+ZiWQxWrv4fOjaqRl+iwFMkIcgQKZx4m1h44+7ArGi9Ka5AHDAGl2RgTKs9GX5xTDpzMCmfpdwThRtPWgOHiyWrQnduBJsYmZHuqZBvf4oJokkKmaa6MiZpAmmG5/E7fHrBgUqYoXVdeKkHGBInkAt7+dw8dlqqgYJcplsf8pUN9X8K8iUX7ooKisaU/ortQ7ep8NzDhnKUPGo/Qemm3MxOmuj2Gn829zNcddpR+ibtqoc5nBEc7kbGgZPu6ZI3+M+y5VG/UEEuuRac9ZV4WYKp32MaLo7OjvVS3bUzVS0GJi/00JZP8bq582kuFjP3ZFtbFsJI0bxsdmxrXnLkpNiRj3fFFSu3czLyEGuRLI7D4HE1GNJZJniAkhJCwkCGRmUw4VpgWyNH6BK2NT1GeRdV1Rw3KDxmMfqhYl/xw5zmOCMfX2RETVQiPiyIow0lqedjsiZ4vFWGN/RvhPvVFfxFg+aj97D8Yn+3THIH7O/lEiRh35LNabCvV9Y94uFRVRn7aqKWGcTjlQmxTIVKdJzRjeuCaNTxy/NqP7oplkixwz/OHo9VWZ7Pdn8tkokBHiCBTIfEDvsWLxAopMPvOseGF+mTioRIumKlGxoWj4d8sS8/WTQF6/Mbg88/xsUREdJPRDQyThwR4dNFdG1zkihahXHJwRexFPZc++WCwqR3Rwy7DOIRS8Ngaa6Mv/7D3tI7ctkiD2/E+hqGgd/q0SBeTntsZeUhtPlorCicWidLGRcvo/U0XZeRyz4c+hFpaqWTVm/kFzL7SgqTxW8DO6H2OnlYpKOdi2i+o9xWL8/xsX62AXNVlwPWGddrczsbZWwV/Hi8KFxaJ4xiQx1phVsr3eVESvk0KV2qu16HW2sHLkdTbq/DXqj2dc4MHxKYkdu/ZqUbFwkpi6JrrNasY2ej4ao/sRiV8jw04njvu4BQdFu7H+3vNlYiq2t2Bs1IEb/aUo0Kockb/NqBCNI5yNSNTpnGqkLkQdlRXJ13pqlGOULpUxgn1bMC6+fjhouHeH92s0jSuNc5ZivfGCs3+ZJErPG2chevyrjDoYz04sFdXa6EYdo+/L9uTPJj83Eu695PNedCj5mdIryican41eN+OmzBbFC2eLqS9OFeVxxy4iKheg2H30b6LnsHDNQVHdjnuqUVSuKRRj/z66MUSkbvicFkwoFVXqYkgm03Ml3b5FSfweXDsjv8bOc3AkKoVidL1IQggJAf3tCc/oYb/A1PMww/M7vY/n8tgUBRNish6r4Usqv176b38fq2n0krA9f3lBFO8xJmWaKkXptPHihX+NHIvNMrwd8O0qRuzj+BfHjTyGcd+lV1RMMaKnCsaLkpNRn8/wgydNKRWlM1SEXJE4CD8vwa/o3Top9ruoPfvPqWJ21KedPeUFMXUrRC/7601J1GcaZ/iWWsO53VCd3jdIdU1G/XM1qTlmVnns2OF8RH304jXFxvvA38TU9VHfCj6t8bFEgQzna+oG5XtGfdJDRbHtjfp4I2qaSSIjrmvpsyZuWNTnqVR+f/R7C3cm+TyEENNQIPML0Qdf9R4IH2PFGCnQwJ4VY/4xyejwYvydhuHonmRLnmFIFCLS/B22ZefsuBiktfjMWoZ1jhgoEsyIFEu17cMzSNEBYeGk+DF59vnoQKuKb/ZXiZL/95zhUIwRkxZD2Em1PRYiiHqrRfn8xO+cJIq2VkfXPZzyGLe40GF1OxWodTT8uQJ0qZxfJirjE2h215uG6P5VzFKDrN7GLKiKDbypzl/UdBFbkZoyUfgvY5sKnhNjE4qaN+4sFOPkfhSI5/4VdVTjaWfD52z2zpHHPnY8dA0EEmYAk0xuV8rtNjnrpj5fMHt0umiU1Pdc1LTpiAqjHlka4U1EndeKZVPFC8/HmjPI50DUsS+BMGn8SWZS3QfD91baey9h1n+EJe9bU8Xw+U6znehYVRR9tj1n3D+piujGZ5+TLfl7s3qupLp2kp4Rlp6DyagoRF29SEIICTKpx2dpacfITM9vkz6eW2NTIu2Voizqz4z9qxKFnhPjppSIg2l2vv1QiewArnwo9ffDJSyUWfBp2w+KEnSMlPsY879KDmGlwymPyuK+d3+1KJuR8Jm/Kz84Co7tP2P+iTxeWxLFvqj/Ev+c8lkrRKM68LbXm5oIRKvJz8nP6a1AjN8S26/UvpveN0QAwyTli0X97Bfi5w+++3hjP9DAp1hUqn2M+ycviNKTicc+yYcfQYbr2qxPRggxBQUyYoGIqN5QKMYWFIixc8tFddfIN79Ib69oP19qhGyn6YxDvAkck2ljRUHBWBmNNnJmKiJn8qpWGmH+abopOc+wY6BNk3QJFb2XrkYJCSLZPwdVuow2ZZgQQggh2dFVKYpffFZGYyEabUT0fiQWKVcxy4gEN1EGwzESBDLTIiYhJK9QICOmiRyaHRNHUhUJN1CpQ/GZJuIDhgvHTtqa9uyK0n/ke2D3pkAWj/ZCSsMxisFhIdvnYOR8sUyhKPh70ej6IoQQQgjJkqivKgvdZ2haFDkoCqV/aTJ7wAkokBHieSiQEdOkLYiaQOP6WIgyI8j8hFkRqlGU/S/+jhFkkqFGUY6ou2cKYnVE6njNBx27z8FIK9JpXrBRK44QQgghpjEtQlWK2fg7RpARQhKgQEZME8/Nf1HXsU5hzNoUFIqDfAH0EcM1QXRddeLUlcqaSwUz8llYfFggy9w10h166ypEyZQXxJiJrPcQdOw9B6P314RYzb2yk7xCCCGEkNwR9RtlmYO/idnHUvuNkf2FMiI8r6Uy4gLZWFEar7VLCPESFMiIefqjA87fY2l46Mg3otvQUES011TE8/1La1hZx28MdzMaI6auqRSNiUXI+mOdhNAxNb/RLxHRe1J1A3rGWpcrQnIBn4OEEEKIp2ncEuvu/UzBOFGErp8JfmtEdSOVtUQPpi2X4ChRH6ExoXt6rPsl/QRCvAYFMmKNoXZRuaFYTH0xsZsmBqDnxNgXp4riDZWa7ivEN6Cr0sKp4oV/jIk5FoahW+QLU4rzHP0yHDk22vJYL4KQZPgcJIQQQjwNovtLZ0wSY/+uOpbG7Nnnx4pJM0pFRT7LYsQjxzTGbpOEeAoKZIQQQgghhBBCCCEk1FAgI4QQQgghhBBCCCGhhgIZIYQQQgghhBBCCAk1FMgIIYQQQgghhBBCSKihQEYIIYQQQgghhBBCQg0FMkIIIYQQQgghhBASaiiQEUIIIYQQQgghhJBQQ4GMEEIIIYQQQgghhIQaCmSEEEIIIYQQQgghJNRQICOEEEIIIYQQQgghoYYCGSGEEEIIIYQQQggJNRTICCGEEEIIIYQQQkiooUBGCCGEEEIIIYQQQkINBTJCCCGEEEIIIYQQEmookBFCCCGEEEIIIYSQUEOBjBBCCCGEEEIIIYSEGgpkhBBCCCGEEEIIISTUUCAjhBBCCCGEEEIIIaGGAhkhhBBCCCGEEEIICTUUyAghhBBCCCGEEEJIqKFARgghhBBCCCGEEEJCDQUyQgghhBBCCCGEEBJqKJARQgghhBBCCCGEkFBDgYwQQgghhBBCCCGEhBoKZIQQQgghhBBCCCEk1FAgI4QQQgghhBBCCCGhhgIZIYQQQgghhBBCCAk1FMgIIYQQQgghhBBCSKihQEYIIYQQQgghhBBCQg0FMkIIIYQQQgghhBASaiiQEUIIIYQQQgghhJBQQ4GMEEIIIYQQQgghhIQaCmSEEEIIIYQQQgghJNRQICOEEEIIIYQQQgghoYYCGSGEEEIIIYQQQggJNRTICCGEEEIIIYQQQkiooUBGCCGEEEIIIYQQQkINBTJCCCGEEEIIIYQQEmookBFCCCGEEEIIIYSQUEOBjBBCCCGEEEIIIYSEGgpkhBBCCCGEEEIIISTUUCAjhBBCCCGEEEIIIaGGAhkhhBBCCCGEEEIICTUUyAghhBBCCCGEEEJIqKFARgghhBBCCCGEEEJCDQUyQgghhBBCCCGEEBJqKJARQgghhBBCCCGEkFBDgYwQQgghhBBCCCGEhBoKZIQQQgghhBBCCCEk1FAgI4QQQgghhBBCCCGhhgIZIYQQQgghhBBCCAk1FMgIIYQQQgghhBBCSIgR4v8HG3skCF4R4ooAAAAASUVORK5CYII=)\n", - "\n", - "\n", - "# The Datset\n", - "The dataset includes a list of academic papers from arXiv, vector embedding of their description and their metadata. The dataset can be downloaded from [here](http://hyperspace-datasets.s3.amazonaws.com/arXiv_data.zip).\n", - "\n", - "\n", - "## The Metadata Fields\n", - "The metadata includes the following fields:\n", - "1. **id** [float] - paper unique id\n", - "2. **title** [string] - paper title\n", - "3. **submitter** [string] - name of person who submitted the paper\n", - "4. **categories** [list[string]] - list of categories which include the paper\n", - "5. **label** [list[string]] - labels aplied to paper\n", - "6. **license** [string] - license type\n", - "7. **update_date_ts** [integer] - update time in unix format\n", - "\n", - "We will use the combination of an embedded vector data and metadata, to create a hybrid search.\n", - "\n", - "# Setting up the Hyperspace environment\n", - "Working with Hyperspace requires the followin steps\n", - "\n", - "1. Install the client API\n", - "2. Create data config file\n", - "3. Connect to a server\n", - "4. Create collection\n", - "5. Ingest data\n", - "6. Run query" - ], - "id": "1Kone1nET7HS" - }, - { - "cell_type": "markdown", - "metadata": { - "id": "SZwFmp6tVLZ_" - }, - "source": [ - "## 1. Install the client API\n", - "You can install the Hyperspace API directly from Git by executing the following command:" - ], - "id": "SZwFmp6tVLZ_" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "WkkNOdYyZ7Ew", - "colab": { - "base_uri": "https://localhost:8080/" + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "CWfay6K6ncTj" + }, + "source": [ + "![63f78014766fd30436c18a79_Hyperspace - navbar logo.png](data:image/png;base64,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)" + ], + "id": "CWfay6K6ncTj" }, - "outputId": "47fef6b2-8e6b-4bf3-e9c4-21f0ce46fa00" - }, - "outputs": [], - "source": [ - "pip install git+https://github.com/hyper-space-io/hyperspace-py" - ], - "id": "WkkNOdYyZ7Ew" - }, - { - "cell_type": "markdown", - "source": [ - "### Download dataset" - ], - "metadata": { - "collapsed": false - }, - "id": "3543856af64665d7" - }, - { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "from urllib.request import urlretrieve\n", - "import os\n", - "\n", - "def download_data(url, file_name):\n", - " \"\"\"\n", - " url (str): URL of the file to download.\n", - " file_name (str): Local path where the file will be saved.\n", - " \"\"\"\n", - " # Check if the file already exists and is not empty\n", - " if os.path.exists(file_name) and os.path.getsize(file_name) > 0:\n", - " print(f\"The file {file_name} already exists and is not empty.\")\n", - " else:\n", - " try:\n", - " # Attempt to download the file from `url` and save it locally under `file_name`\n", - " urlretrieve(url, file_name)\n", - " # Check if the file was downloaded and is not empty\n", - " if os.path.exists(file_name) and os.path.getsize(file_name) > 0:\n", - " print(f\"Successfully downloaded {file_name}\")\n", - " else:\n", - " print(\"Download failed or file is empty.\")\n", - " \n", - " except Exception as e:\n", - " print(f\"An error occurred: {e}\")\n", - "\n", - "import zipfile\n", - "def unzip_file(path_to_zip_file):\n", - " directory_to_extract_to = './'\n", - " try:\n", - " with zipfile.ZipFile(path_to_zip_file, 'r') as zip_ref:\n", - " zip_ref.extractall(directory_to_extract_to)\n", - " print(f'Success! Files have been extracted to {directory_to_extract_to}')\n", - "\n", - " except zipfile.BadZipFile: # Handle a bad zip file\n", - " print(\"Error: The file is a bad zip file. Unable to unzip.\")\n", - " except FileNotFoundError: # Handle the file not being found\n", - " print(\"Error: The file was not found. Please check the path.\")\n", - " except Exception as e: # Handle other exceptions\n", - " print(f\"An error occurred: {e}\")\n" - ], - "metadata": { - "collapsed": false - }, - "id": "65a8267b1998a73c" - }, - { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "data_url = \"http://hyperspace-datasets.s3.amazonaws.com/arXiv_data.zip\"\n", - "download_data(data_url, \"./arXiv_data.zip\")\n", - "unzip_file(\"./arXiv_data.zip\")" - ], - "metadata": { - "collapsed": false - }, - "id": "6a19972bd2cf51d4" - }, - { - "cell_type": "markdown", - "metadata": { - "id": "TCZSwM6DVeDm" - }, - "source": [ - "#2. Connect to a server\n", - "\n", - "Once the Hyperspace API is installed, you can access database by creating a local instance of the Hyperspace client. This step requires host address, username and password, provided by Hyperspace" - ], - "id": "TCZSwM6DVeDm" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "17a978a2" - }, - "outputs": [], - "source": [ - "import hyperspace\n", - "from getpass import getpass\n", - "\n", - "username = \"USERNAME\"\n", - "host = \"HOST_URL\"\n", - "\n", - "hyperspace_client = hyperspace.HyperspaceClientApi(host=host, username=username, password=getpass())\n" - ], - "id": "17a978a2" - }, - { - "cell_type": "markdown", - "metadata": { - "id": "KiZGq3v8V4vL" - }, - "source": [ - "It is recommended to check the status before proceeding, using the command:" - ], - "id": "KiZGq3v8V4vL" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "cH_lWsLLza0n", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 162 + { + "cell_type": "markdown", + "metadata": { + "id": "1Kone1nET7HS" + }, + "source": [ + "# Hybrid Search with Hyperspace - Academic Papers Dataset\n", + "This notebook demonstrates the use of Hyperspace for a hybrid search over a dataset of academic papers. The search combines vector search and keyword matching to find relevant papers. We will create a straightforward filtering function that focuses on papers within the same category, gives preference to papers by the same submitter with negative bias to papers without a license.\n", + "\n", + "# Hybrid search with Hyperspace\n", + "This notebook combines Approximate KNN (HNSW) with metadata filtering. In this scheme, Hyperspace uses the post-filtering approach, by which the KNN score is first calculated, and filtering is applied in following step.\n", + "\n", + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hyper-space-io/QuickStart/blob/master/DataSets/arXiv/arXiv_semantic_search.ipynb)\n", + "\n", + "\n", + "![image.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABHUAAAEpCAYAAAAd5h4GAAAgAElEQVR4Aey9+VcU17r/338Gv7pWfvhkrfxw81tc997vOfHcnHvCPbk54ZycwWhOPMRrDJnJZIhxCM44IQ5RnIU4gSPODIrigAIKMgiCAoIiiooMAvp811Pd1eyqrqrurq7qrmreey1WV1dX7Xr2axe1q9717OfxEAoIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgIDrCHhcZzEMBgEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQIIg6OAlAAARAAARAAARAAARAAARAAARAAARAwIUEIOq4sNNgMgiAAAiAAAiAAAiAAAiAAAiAAAiAAAhA1ME5AAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIuJABRx4WdBpNBAARAAARAAARAAARAAARAAARAAARAAKIOzgEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQcCEBiDou7DSYDAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIQdXAOgAAIgAAIgAAIgAAIgAAIgAAIgAAIgIALCUDUcWGnwWQQAAEQAAEQAAEQAAEQAAEQAAEQAAEQgKiDcwAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEXEgAoo4LOw0mgwAIgAAIgAAIgAAIgAAIgAAIgAAIgABEHZwDIAACIAACIAACIAACIAACIAACIAACIOBCAhB1XNhpMBkEQAAEQAAEQAAEQAAEQAAEQAAEQAAEIOrgHAABEAABEAABEAABEAABEAABEAABEAABFxKAqOPCToPJIAACIAACIAACIAACIAACIAACIAACIABRB+cACIAACIAACIAACIAACIAACIAACIAACLiQAEQdF3YaTAYBEAABEAABEAABEAABEAABEAABEAABiDo4B0AABEAABEAABEAABEAABEAABEAABEDAhQQg6riw02AyCIAACIAACIAACIAACIAACIAACIAACEDUwTkAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAi4kAFHHhZ0Gk0EABEAABEAABEAABEAABEAABEAABEAAog7OARAAARAAARAAARAAARAAARAAARAAARBwIQGIOi7sNJgMAiAAAiAAAiAAAiAAAiAAAiAAAiAAAhB1cA6AAAiAAAiAAAiAAAiAAAiAAAiAAAiAgAsJQNRxYafBZBAAARAAARAAARAAARAAgWgRGKDOoixKeXc8jfN4yOPxUMIrEyh5bg6VdUbLBmuO05mbJNnPbQj4e2k8JU3PosKYtqmM0j0eSsoVjOgspIy5eSSssQYGagGBOCEAUSdOOhLNAAEQAAEQAAEQAAEQAAEQsJhAby1lTxlHHk8CvfyPVMrOL6TCogLKWZxCiS+xMDKeUg42W3xQ+6rzijoTKG03t0P84zYl04QED3kSUqjgvn02GNccKOqUzfWQ590ciDrG4PDrGCYAUWcMdz6aDgIgAAIgAAIgAAIgAAIgoEeghwqmJ0jCTXppT+BGw82UM9n3e/lA4O8OXOMVdZIop03buIHSNHrV46EJ62MlVEHU0e4ZrAUBfQIQdfTZ4BcQAAEQAAEQAAEQAAEQAIGxSqAyQxI4krYZCBy9ZZT2bx7yvJlN3q06KeddD3nmlqmoaa/vqc6h1LdepgSeDpXwMiVOz6Iy0UvmfDp5PEmUU5pHya8kSNskLfyZEtVTlHxHa14/gTwJ6aQ+umxMMFGHqIzS2BaF/T1Um5tKiXx8aepZIqVklpFS5hqQtkl6jb2aPOThqVzf5FCtfyPt9hOp14uiju83YaqYPC2rpzSDkl8f5TZhSkaMp43JhPEJAtEnAFEn+sxxRBAAARAAARAAARAAARAAAYcTqFj2Knk8KVTgFya0DfZuJ3u/qEUKeZ/A9Z35yTTOk0ATpmZRHk+Fys+i5NdZuJlIOS2+/SRRJ4ESEsZTyqYCKszPpoI6X10BU5KaKfsND726uEI+aMBnUFGnMZsmeDz06jK5jk7K4+lnCRMoOTNPmrKVl+mdppUwOccnZBF56x1PyYtzqKCokApy0yiRp3KFLXaJos4AdZYXUtZUD3neSJMYVbQN0MD5dHrVk0CJX2aPcnuNRbE0KnSHw1RAv2AFCERCAKJOJPSwLwiAAAiAAAiAAAiAAAiAQBwS8Akn/5ZBsryh28jSNMk7Jf08bxEo3nj3U60fKKS0BA8lrqlVVdtM2W96KGFGIUn6hCTqeGiCarue/GSvB484jUoSZF6ljEpVlcJXI1FnoKWQ0t9ib5xEym707jRQlEYJnkTKqhMq4cXGbEr0JFBaEVvpa9tMpX/QwJEUSngl2SdQqdrvr069XhR1vBupY+pI398ZFZSkreqyaMJL4ylD6gN/5VgAgTFBAKLOmOhmNBIEQAAEQAAEQAAEQAAEQCB0Aj6xIcAbRqMGn/DinRqkFink7VXrJSHoZUrdJAYr9i5Lnike3xQqX91ewUiui4ju51GyagqW5DEURITyijoama98U5wSXplIWeWjrkllMz3k+X+plK0Iqsx2ZknH907TGqDCGexhlEjpR2qpR9NbRtV+f1PU64OLOs2bEr0BqjeVUXOvvyIsgMCYJQBRZ8x2PRoOAiAAAiAAAiAAAiAAAiCgTcAnNgQRSaR9TXjqBBNXPJ6JlMc5vPVEHeqhvCliVqgKyvg3cdqUTquklOZi9qsCypmbROM8L9PEZeo4OT4GQkybgDTok32pxlsKKJWnjknbJtDLrydTem4hNfv1IbV4I9unXh9c1KHeCsp61xe7x+Ohca8lUUpmHlUg57kMFZ9jjABEnTHW4WguCIAACIAACIAACIAACIBAcAIV81mkSKY8MXCxxm5mYuoYTYNSHEJX1CHqOZgyap8U1Nl46hXXq3fc5tyJUrDm8XPLvNO+JCN8gkso3ko+o3vqCqV07/6Ayf74QGrxRm6len0Ioo5v14G2CsrblDoaMNkzntLPa7oJyQfDJwjEJQGIOnHZrWgUCIAACIAACIAACIAACIBARAR82a8SVem9e/JTKFHO7KSX/Wp6gSo7VAWlc+BgX1apgROpkldL6okgIoSBqEMDhZTq8VByfg9JwtIbcgYu/VbriTpEA1Q2dzx5PAk0MVfO9jVAhd/wVK1UUwGIBxqzKckfdNkn3gThwtm30lXTytQxdTRbd7/Qm4UsoH7NrbESBOKKAESduOpONAYEQAAEQAAEQAAEQAAEQMAaAixqsLfOeEov9c8jIuqppZxPx5PnpSSaKAUWHk/p5bI400MF0z3kUU3bGihNk9Kjy6IOCzIcKNnzrirgLzVLKdHHvZVNUghlI1GHfLFspqdT+hseStwkizH6rdcXdYiot4zSpSxSEynPF4DZGyjZQwFp3VtyKMkzjhI31RINl1HG6y/TeHXWrd4CSvGLOiFyCSrqNFPO1PE0bkqeSjSrpaw3POSBqKPf+fglbglA1InbrkXDQAAEQAAEQAAEQAAEQAAEIiLQW0vZnNLbk0Av/yOVsvM5SHAB5SxLllJ/cwyZl78pVAgMPC0qweOh8VO8qcqlFOAvTaSJ74566rBN8pSnhNdTKfsIpzTPplQpVowwjchQ1CGSRJeEBClDlZyxyqi9hqIOEcniU4IcK4dFpsksbCXQhC+zpXTlPOUp6SUPeV5LpzIpUPEAVcxnL59xlPSNnGY8m1JZ8EoYFYhC4xLoqeOd3pZI6fmFxCnNO3fzVDFOBZ9BOcztSA5lTOHji+KaEQX8BgLxRQCiTnz1J1oDAiAAAiAAAiAAAiAAAiBgMYHOoixKeXc8jfNniZpAyXNzqPBIBiUmeGj8pzlU63fmGaDa3FRKfMUrhrz8Virl1PH0JqWowyb2lGZRylsvSyIQiyLj302lnGp/RQaBkn0NlD1+3gw+9Yr3CCbqSNOwZr4qiTgpB2U7eqgsM8XXHg95XhpPSfL0Mz/nHqrYlEL+WDrclikZVKgIXhwKl0BRhzgI85vewMgJ870J5puPpAuxdBJIYixy89uFBRCIfwIQdeK/j9FCEAABEAABEAABEAABEAABuwjwdKxvEinVL4LYdSCtesukWD3edOpav2MdCIBAvBOAqBPvPYz2gQAIgAAIgAAIgAAIgAAIxCUBDricEEKGrrhsPBoFAiAgEYCogxMBBEAABEAABEAABEAABEAABFxEoPlgBmXMTKYJCR56VZGG3EWNgKkgAAKWEICoYwlGVAICIAACIAACIAACIAACIAAC0SFQu2aCFCz45anZVCsFK47OcXEUEAAB5xGAqOO8PoFFIAACIAACIAACIAACIAACIAACIAACIBCUAESdoIiwAQiAAAiAAAiAAAiAAAiAAAiAAAiAAAg4jwBEHef1CSwCARAAARAAARAAARAAARAAARAAARAAgaAEIOoERYQNQAAEQAAEQAAEQAAEQAAEQAAEQAAEQMB5BCDqOK9PYBEIgAAIgAAIgAAIgAAIgAAIgAAIgAAIBCUAUScoImwAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAs4jAFHHeX0Ci0AABEAABEAABEAABEAABEAABEAABEAgKAGIOkERYQMQAAEQAAEQAAEQAAEQAAEQAAEQAAEQcB4BiDrO6xNYBAIgAAIgAAIgAAIgAAIgAAIgAAIgAAJBCUDUCYoIG4AACIAACIAACIAACIAACIAACIAACICA8whA1HFen8AiEAABEAABEAABEAABEAABEAABEAABEAhKAKJOUETYAARAAARAAARAAARAAARAAARAAARAAAScRwCijvP6BBaBAAiAAAiAAAiAAAiAAAiAAAiAAAiAQFACEHWCIsIGIAACIAACIAACIAACIAACIAACIAACIOA8AhB1nNcnsAgEQAAEQAAEQAAEQAAEQAAEQAAEQAAEghKAqBMUETYAARAAARAAARAAARAAARAAgbFNoK+vjzo7O6mhoYHKy8upsLCQ9u/fT9u2baNVq1bR/PnzaenSpbRhwwbauXMnHTlyhM6dO0fXrl2jW7du0YMHD2hkZGRsQ0TrQcAGAhB1bICKKkEABEAABEAABEAABEAABEDAzQQGBwfpypUrtH79evq///s/+sc//mHJ3+zZs+nQoUPU3t7uZjywHQQcQwCijmO6AoZYTaD99iO6eLaVbt7opsHBYaurR30gAAIgAAIgEFUC9+89pYqL7VRf00VDQ3jbHVX4OBgIjBECd+/elTxwVqxYQZMmTbJExDESg7799lvJq4e9eZ4/fz5GKKOZMgEe16rK71DttXv05NGgvBqfYRKAqBMmMGzufAKPewZo15YqmjfjlP8vc0EpXbmAtwHO7z1YCAIgAAIgoCbQ0faYsjMv+sc0eXwrOd6k3hTfQQAEQCBsAk+ePKG9e/fSnDlzbBdxjASelJQUWrt2LVVWVobdBuzgPgInC24EjGtH9tW5ryEOsBiijgM6ASZYR+Bhd3/AxUG++eXPlqaH1h0MNYEACIAACICAzQT6nj6jpXNLdMe2YwfqbbYA1YMACMQrgaGhISooKKDPP/88pmKOltCTmZlJ9fW4vsXruccv3MVnNHH59Mmb8dps29oFUcc2tKg4FgR2b7uqe4Hgi8XapWU0MICpWLHoGxwTBEAABEAgfAJFxxoNxzUe2x7c7wu/YuwBAiAwpglwkOPvv/8+LDGHp0otW7aMNm3aRHl5eXTq1Cm6fPkyNTU10f3792l4eJh6e3ulWDk1NTV09uxZSTTKzc2lNWvW0IIFC+j9998P65gcdJmDLKPEDwEWbUQRR2u5qaE7fhochZZA1IkCZBwiOgQ4bo7WRUG9ruF6V3QMwlFAAARAAARAIEICK+adCTq2nT+NB54IMWN3EBgzBMrKyogDFWt5x6jXcUydjIwMSbzp7rbuIZsFnx07dtDXX38dkh0sBG3fvp3u3bs3Zvopnhu6Y8OVoOPaycM34hmB5W2DqGM5UlQYKwIcaEst4Gh9v3j2dqxMxHFBAARAAARAIGQCL168oPk/jMaH0xrTeN3xgw0h14kNQQAExiaBGzdu0KJFi4KKKDwVKzs7my5cuECcwtzu0tLSQgcPHpTSoatFJfV3zsC1Z88eu01C/TYTWJ5+Ougz257tV222Ir6qh6gTX/055luzfsWFoBeJux1PxjwnAAABEAABEHAHAZ42rCfmyOuvX73rjsbAShAAgZgQOH36NCUnJxsKOjy16uTJkzGxTz7ozZs36ZdffjG0k4UejreD4l4Ch/Nqg45r5WVt7m1gDCyHqBMD6DikfQTYC0e+ydX6PLT3un0HR80gAAIgAAIgYDGBmqq7huPa4p+KLT4iqgMBEIgnAjt37jQUSb766is6cuSIFA/HKe3mAMlZWVmGds+YMYM6OjqcYjLsCIPAzRvdhuPamiXnqO/pUBg1YlOIOjadAywesKjgZhGhq+u+TXTsrXbfr9WaF4oNmRfo0cN+ew+O2kEABEAABEDAYgL5udc0xzW+z6i9Bi8di3GjOhCIGwIc1Fg9hUn+/umnn9KBAweiMsXKLFCOvbN8+XLdNnzwwQdSoGaz9WO/2BEw8ta5fB5eOuH2DESdcImFsD2fiKKXiFtPzNyde0NorTM3KT7eRDwVi99gZi0+S3t3XKO+Pii+zuwtWAUCIAAC0SFQcvosPX1qf4wIO1rD4s2uLVW0aGYRcfDk4wfr6WE3XlTYwRp1gkA8EPjmm290xRCOS/P48WPXNLOiooK+++473fZwTJ6xWq7X1lNLizvjhfIz8sasi7R0bglxnJ1tv1ym+hoktDFzLrtO1OG0ndUVnXT18h0z7Y3KPvt2Kj1F+Lsby+QPplP55Qo3mg6bQQAEQMA1BNiDsKaqkzjFJ4q9BGb8OJcOHDpq70FQOwiAAAjEkABPSXrvvfd0BZCCgoKoWFd77Z6l4xpnvpozZ45uuzgWz1gsmVnracPGbWOx6WizQMB1oo6YAm3zmnKhKc5ZfDY4ovDU4e9uK/UNjfTvv3mTFixa7jbTYS8IgAAIuIqAPF1X9vAcGBh2lf1uMfbJk15pXPso5Su3mAw7QQAEQCAsAu3t7bqiB0+7Ki6OTgyu4mNNimchK8MfLFmyRLeNCxYsCItXPGz85lt/pXfenRwPTUEbIiDgKlFHK2W1lRcJI47VleG/RXXzW9fVazfS62+8Ta///m16/vy5ERr8BgIgAAIgEAGBxbOKFTe/yNAXAUyDXfcdKKDf/f5PkrDT1u5cb1+DJuAnEAABENAlMDw8rCt2cOyZhoYG3X2t/kGdstrqGRZGQZT3799vdXMcW9/Zcxfo/5vwR2lcq6hECnDHdlQUDHOVqMM8xJTVHCslGuXovjr/DfeWteU0MvIiGoeN6TH+5+2/07//9k1J2DlxMjqqfkwbjIODAAiAQIwIbF59yT/GsLcOij0EPvzoC+nGd8J//4m2bMu15yCoFQRAAARiROCHH37QFHU+/vhjGhgYiKpV6iC4/GLe6sJxgeSgz+rPq1fHhsDx05wF9B+/SaTf/O6PtDgDad6tPsfcVJ/rRB32zGFX9YO7rxOnQ4tGkV3i5c94D0x4/kI5/efr/yPd/PIUrC+/TosGZhwDBEAABMYkAXlc48x9bvbwdHLn3W5t849pPK69+/cpTjYXtoEACIBAWAS2bdumKXDMmjUrrHqs3JjHM05UcuZUs5XVKuq6dOmSZrtZ5GltbVVsG29f+vv76T9+m0j//hv+e5N+999/ircmoj1hEHCdqBNG2yzbVBZz+DNzQSnd6+y1rG4nVjR33hL6zwmjog5fKLq7HzjR1Jja9Lgnum89YtpYHBwEQAAEXExg05Yc+t1/v6MQdqqra13cIntMf/wI45o9ZFErCNhH4Pjx45rCxrfffmvfQR1U8+XLlzXbzynbe3vj95ntUMExmvDG2/5x7bf/9b90qvC0g3rGGab0PX3mDENstgKiTgiA+S0qB2g+ur+eGuvuh7CHezd59uyZf24mizmS8vv7d2jXnn3ubZSFlnd39ZHoUrpwZhGVnLhJQ8/cFwzbQiyoCgRAAAQcTSDpb//03/jyuMY3v8tXrnW0zdEyrr9viAqPNkqp0vnl1cIfC+nEoQZ68ngwWibgOCAAAiYJXLx4UVPQmDZtmska3blbUVGRJofly+M34ctHKamKcY3Htq+/+8mdHWix1S9evKCzxS20ZLY3ZuGCtEI6sq+OOIt2vBaIOvHasybbdeTYSZrw+1HVVxZ2OL35WC+3bj5UxL0QPbhWLz5HfGOMAgIgAAIg4CwCVVdrAm58OWbcf//PX5xlaAys6XnQTyvmndEc2zJml8S9Z3IMkOOQIGAZgRs3btA///lPTTHj/v34fgmtBZEDJKtj6/D3zZs3a23u6nV37nQGjmu+l/EPH/a4um2RGj88NEK/LD+vOa7xs1tLU3zOPoGoE+mZE+H+Q0PO8vD45PNv6d9/8wfVhcI7V7Ox6WaErXX37qsWlupeIPgicfxQ9LIKuJskrAcBEACB6BFYumI1/fZ3b6nGtTfpN797i06fORc9Qxx4pAO7agzHtT3bx0awUQd2DUwCAUMCnJl2xowZmiJGfX294b7x/OPGjRs1mZw8eTLiZrP3h1PK1u07A6YUy7Mr9uQdcIqZMbGj6Fij4bi2ckFpTOyy+6COE3Vqr92TAkU2NZgLgjw8/JzsSnNudYDkS+daaf4PhZKrc03VXbv7Omj9d+92Bdz0yp467L2zbr19Svfl8220b2c1PRt0lsglQ+tof2J4gZC9duTt8QkCIAACVhJgT0E3lLrqe8QeHnxNvFB62xEmv/GHJN2x7YeZP9tm47mSFtq/s4Y625/YdoxIKu7vHwppXEP8uEgoY18QsIfA0aNHNcWLs2ejkxnYilbZNa4tXrw4gA3HF+IQE2bK7eaHfo9GDrnghPLXicm649oHyZ/YZiI/u+7dfpVaGp3r7SI/kxl9trc+so1RrCp2lKhz/GC94gaD49h0hzH3jaOsL/HdTHKGLCsLn8B8cnD9Vog77bcfKdq6PP2MleaaqmtH7h5pLibPx+S/Cb//E02Z+ql/3Ywf7bn55b4S//FMGW/zTiw6iTbqLXfecebNu814UD0IgIBNBMrL2mh5+mnp+sNj4sDAsE1Hirzavt5nAddJftESy1J8+iylfjvT//e/f5pIk/45zf/9+x/m0NOn1qfaPX6wQcHCjnS+kXK92dCtsFFvXGOhDgUEQMA5BPia9eWXXwYIFwcOuMNDg5+B1i4ts21c46lnLOKop2IdOnTIVCcumlmkuFb2POw3VY9VO1XX1NLX38+ib3x/f/7bB8Qij/z92xmz6WbzLasO56/nXHGLgkOzA4Wdrru9Chv1xjUWp+KtOEbU0YtXwt4boRSt/a26+WU1Tzwpdm6uDMUkw23YI0msM3Oh81zB/vzXf0bFNV3kwMtOTOnL8y/Vdmp9d9p0OsOTED+CAAg4noD6OtNwvcuxNrOorbbXabHGPv9qBuXu3Gs7Qx7TRRb80spphePpiDbqLXfdtV70choL2AMCbiKQn58fIFj89JN7AuSuW6aMd2LHuFZSUhLA6JNPPqFHj8Lz0Hiq8bKChQMnlXkLltGKzHW2m7RlbblizGCHB6eV589fKGzUG9fMzghyWntFexwj6vCDvBZ4fjMZapHfZsr19D21JnDtzRvKt1kbsy6GapLhdixYybbWXov99Cu1sdESdez01Kkqv2PZdDy5r/Q+94coQKo54zsIgAAI6BHIz73mHyf42mPHza/esc2sP3Xkht/eiw6ZfiW2I1qijvqNZkfbY9EM08uckeri2dvEb7qtKDnZFf7+0hrblswqtuIwqAMEQMAiAt3d3fTRRx8FCBZumna1e5t39oN8zbl6+Y5FdJTV/PzzzwGcdu/erdwohG/nT9/yXyc5XovTSrREnatXOvwcpPuRWuteMvGzNv9ZUQ7sNo4Vx7bHY3G8qBPONKoLZ25LJ9viWcXE02WsLPt9wQSXzj1taTaIG7X3HZteLVqiDveT1TF1OK6SPFjwpxUDxjXVxUysn5fvdTpLubfy/EddIAACsSEgenVyUFs3FPZstErEsLq90RJ12G4WX3I3VpBVLuq9TwaJRRZ57Km41B4xHi0vZ7l+/mysG3sZdCKGigpAwEYCOTk5AULFwoULbTyi9VXzdSVzgdebcfOacusP4KtRK937hx9+SJ2dnWEfk4V0u2IAhW2MaodoiTp8WBZ2tq4rJyudEUQPIH7ejrTwdGdOYS6OZeJy5SV7RMRI7Y50f8tEnZamh3T1cof08GxmDj171axfcSGgA/iGNpzS++QZDQ/ZM4ef35CNpRJNUcdqrhUX2xXn0t4d1wwPcbfjCfU9DR5AjWMLqOfW7t5aRXdarXkLa2gkfgQBEIgqgUjHNauM5YC2Vk0ntsomt9YTTVHHakYcA0C8MV3+82ndQww9G5GENZ5iFazwec7ZQMS6l/18mprqrXlrGuz4+B0EQCA0Aq2trZopzCsqKkKrgIg48UdNVacU6iDWzzV2JbYRYWRkZASIYFu3bhU3cf1yNEUdq2F1dz1VjD08DhmdlyzYhBJvt6P9Me3eVqWom5MTOSExkdUM5foiFnXY02TbL5cV0LIWn6VwxRg2iDvqcF4t8ZQr/nO6m7kMMV4/3SzqqN8+Fh7VdpdUiz+sEPP82WCFz9WG2i7DC0+wOvA7CICAMwnojWuV5fH5dseZvWCPVW4Wddj7SRRe9u7QjmfA45P4kozvp0K5CeYkEPzi4kEYCSrs6SXUCgIgoEVAK133ypUrtTYNWMcCSl6OcjovX0/07o8DKnDpiurq6gBR57333qOWlhaXtijQbDeLOuwIIic54vORZ8RoFR6fOKatPAbyGBfKNGQWiFhPGAuzKSISdThNJ2dtkgGrPyHKaJ2Woa9j9XKg35q4QKEfdXRLJ4g6HFySXTTLSsK/+F4820ocrJKn8Gm9DeAgWepzlr/vcWDgr9FewRIIgICdBIKNa04M5G4nD6vr5mvxk3X6Ri8AACAASURBVEex83qNtajD6cH5RRhPoyotbA4bL7u+r5xfSizoaN0fqF9oyGPcvl9DSzoRtkHYAQRAICoEBgcHadq0aQECRV1dXdDjj4y8kKaCytcD9Wd+nF8fVq9eHcCNg01bVXofD9KjngGrqgu7HieIOpypk8+ro/vrice5cAo7gvAULI5ZqyW+DA4OE4dWUZ+3LADZNTsnHPudsm1Eoo460JUadnbmRde5jLObe6xz158tUqaM27Wlitg9Otol1qKO+vyyOlI53xSrz1n5e3dXX7Rx43ggAAIOICDHT5OvBepPFpl5mi9KeARYDNuwcnSKNd/AXavoCK8SC7aOtahTkFerGHc4mL+VhV+EqM9Z+btT40FY2X7UBQLxSkArPsyGDRtCaq5eMhr52sCfVt9jh2RYlDZqamoKEHXmzJkT8dFrKjsVIRk4jkuVTUGfjYyNtahz5YIy5IXV3l/Xr97VHdesiJlqxNZNv5kWdbTmwIkXB3nZTTcRYkBKFhQehjAX3erO3r7+iu6JWx3lG+BYizpyEDX5XGIV2MqyVZWaTz4Of95u7rHyUKgLBEDAJQT4zY94LdBaNjO92CXNt8VMdQYvkWm0WcZa1MndpMw2dWRf8Lfs4XQKe5qKfMVlqxNIhGMXtgUBEIiMQHZ2doAwcenSpZAqVd9Pi9cFeTnevVBnz54dwO/evfDitoqwi4836V5rjx2oFze1fTnWoo6YzZnPp2BxTMMFwkkH5PNU/cmZyVC8BEyLOjy3TQ1W67ueqMPrnaauqe3nwM/hlOrKTjqSX2daEGB1V22D+H3hj4XhmBPxtrEWdfgtrth+PuesLHoXZHaLNxPs20rbUBcIgEBsCIjXHL1lntqpVXh+d7zdGHOK0UN7rpuOcccBOfU4yuu13K21+FqxLtaiTmtLj5/HqoVnKZRAxuG0W++N/KqFpcQJKVBAAATcSeDzzz9XiBLvv/8+9faGlnWVY53K11u9T72xixOJ6P3mJpK//vqrgt8//vEP2rwx/PTm3OaH3X1Bed698yRqeGIt6jwbHFHwsPr5njNI6p23VqVBj1pn2Xgg06IOz89cMU8/no4MX2vuPL+Zkn8PJ5UdP2izh5BWfBQrGG1ec8lvF9sXzkWs7PQtxb4cqDDcIgY2lPmoP6OZjSJSUSdUYYTFGnZBZ1HsqWpaA0+H42DGdpRng8P0y/Lzin5j3pct9giyw3bUCQIgYA8B9TVX6zun7FYX9cN0ONmq+Bpo17imtjOc76L3KnPgANLhlsN7ldONtHiGM9aGe3z19pGKOsNDI+oqw/7O/X2uuIX6++wRWTgwspqz1Z6uYTcaO4AACJgm0NjYGCBIzJs3L+T6OIyD+pqg/q7lNckP5+J24YxTvK3ei/2QDbdww8rKygCG05K/IzMJEM4WNSu4iIzk5cIj2glaLGySv6pIRZ3nIy/8dUWywGP54MBwJFXo7vvrptEgyTJjK9Kf6x7QhT+YFnW4rScLbhie1DxnXl34H1zuDPkz1IuEmMeeg99aXfgt67pl52nt0rKwBB22g9N/yu3hz/NnwncHW/RTkaIOsT55+cypm1Y3W7c+s6JO191e4nhKnDqu5ESTbv2cYUMrEj97O3FQrGiUoaERYqY52RW0f2c1QfGNBnUcAwScS0DPg0++BrP4r1Xk3+VPfrsZSjl5uMF/3bdjXAvFBr1t1C86ODtluEVLYJAZyZ+8TbSKWVGH30T+6ps6ZfWUKTvazjfXO7dUEttq9VtTO+xFnSAAAvoEdu/eHSBI7N27V38H1S+heExqvYSXr9HyZ6jXEvElB1/fQ33JqzLb8q/JyckKju9NnEQ8JTbcsntrcJGMA+JHq0Qi6nCQbO5fniY9Mvw8WiabOg6//Gc7+V4J04kDEUYk6qjTZsr/9PzJXid63iosmsjbsktgKEW8QPC+7Eoc6yIq0MdUwQnNxONZk3HOz0Xmo/7kYFHRKmZFnZxs5VvCykvanjbrlo2eB+p2siKLAgIgAALRJsCpn7euu6x5LTYa1zhrg3gdC8VurZcc4Xj4hHKMSLa5WKqcx958I9BDKVj96sDAIiN5mb1WolXMijolJ24q+pe/o4AACIBANAjMmDFDIUbw1CH23gmnGHlNannpcN388Cxfp/lT77lObYe4Dy/zLAsnlMWLFwdwzNt1ImzT2AtH3Ub192iK/2ZFHZ4JIdrttBdLYXfMGN8hIlGH2fE/OLs/icEl+c2jluIrs5Y9Yli9DdUzgvcRT7xQxSD5mFZ/ysIUf8pTooqONkqpSkWxJ5zj8o2t2EatZfYsiVYxL+ooA0GeKrgRYDIrrFrtE9fpnRs8T5X354sRz7NEAQEQAAErCfDUTM4iJArtoY5rPKWYX0KEWpanK708nZZZi71OWbCqqTL3QkH9Qka8xsvLZsSiUPmqtzMr6nDgS9le/ty1xdoXD3wvxdMAOCAkxjV1r+E7CIxdAg8fPgwQIj766CNTQPh6zGOUfC1jrwd+vtIr/JKBg6/zC40zp5r1NgtYrw4nEeqMjICKLF5x7NixAJahZhATTWm7pXwmlXmKnzcbusVdbF02K+qonzvXr7xgqZ19T59JnqIXztymxrrwp29baswYqCxiUSeajOSbQ75YhOoCaId9HGlb/MflN5HhFr7AsSghCkDs9rZqkX4wM051Hs1iVtQRL3bcV1rBGTevVsYvEnnKy0f3B0aP50Fl8U/FCv7hPEBFkx+OBQIgAALBCPBYxi8p+AUB3/i4uXCsmPqaLimosuhxZJR5Ze/2q1FtsllR5/GjAYXI19ke2vS6UBqn5bHFb9VRQAAEQEArFkxWVpajwcjjGo9tTvL+uHv3boCok5aWZshyZOQ5sScTT/3hOJ9y0QofIT+/7NxsregvH1Pv06yo8/z5CxJDmzTWWydEcQy+dcLMHGYTzanWeqzieb2rRB2ndMSpI8pYQvw93CL/4/OnmEmF39ZppSS9UBr9m32zog6zYE+t8rJW4ouhVhHfgIssxGWOByAWRD8XaWAZBEAABJxFYMPKC37BXT2FVisG35ULbVFvgFlRhw0dejZCl861Uu+TQcvs5lgTeqIXXlhYhhkVgYBrCZSUlAQIEYcOHXJte2Jt+JQpUxQ8P/vsM0OTdgghJdSzRMSYePLzC3t1Dg1pP/sYHiiCH82KOvIh2cmgu6tP/hrxJ49rzEpmIn5iXIsYr24FY17U4WC97DXCb0mPH2wIKZgXe57IJyvfjIUb54YzPYkneKZGfCB+43ntSgfdNBHDQLe3w/whElEn2KEK8oNnRGGPKLGo536KDJHZQySFZRAAgbFO4OThG5JYwG9Jo+H63nnniWJc4+uzOrYcv7Tg8Y/f4kbDJq1zIBJRR6u+SNcxE3EsE5f37rgWafXYHwRAwOUEWMDhGDriX2lp7OOKxgIriyg8A4A9PsSZDuHY8sUXXyhYfvDBB4a7i9dkXm5RhX3gbE911feo9tpd6rMpo6GhgUQUqagTrP5wf8e4Fi4xa7Yf86IO3/iK/7D8Fi7UwhcUM5HCn/Y+Uxxz97boup+H2j47RR1xipbIX1xmTmKpUqVWFLdFFHSRlAOXz6eTx+OR/lJPDOga2Jmb5Nsuncp0t9L5obOQMubmUafOz+Gu9toSYzvacijJx03mp/5MyuUWd1LOux7yvJvja38ZpXs85P3N13Jb+CRRTvSdLcLtyjG3PccDEq+P0Xgzxm/mlswu8R+Xl51YnCbqcGBusa/EZY53gQIC0SJQNpfHaJ0xr6WAUl7zkCdhIuVIkQB8Y45nPKWX64zpvnE//byvBfJ49lo6VejsYmhDtEA47Dg5OTkKEYLFnerqaodZab85PP1JvD6anaI6e/bsAJ6Dg/relyvnlyqO67S4d0zeaaIOxjX7/x+0juAaUYdvSjl2DauzPF2Jg+VaUdRzIrWC+lpxHHUdTQ3d0vx8vvl2arFT1OE2a7njyxdsLXGNYxjIv4ufK+adoXudvZoY1W+KNTfCSvsJCKKO55tC0r6fk28SDW4sDSyVbgb9oobBhiH+ZFbUsdQO303wq5PTKGNxhuZf9vmekEQdS+3iI0oCHESdEE8nzc3YY4Vjh/G4xgELrQoYzOOleI2M1jx2jjvA8/M5ngB7mzqxOE3UYUY8VU3sL3lZLyPNox7tK6gTecMm9xDQFVRacmhigoc8r6VQgT+0ozBe64k0eqKOx0Pj51do3gfo2uAejJZbum7dugARorU19BfQlhsUpEJOcsL39xxCgccivaQnQaoJ+Pnq5Q7FddLsuLZixYoAnl1dXQHHk1dwnDgW2Dn+GwtLTixOE3WYkTojqDyuXavo0ET45LG+sKa5A1YGELBU1DHrChdglbCCXbT5H1c+GeRPDpZ76WzkF7ULZ0aDHi+ZXRzgLi6YMuYW7RZ1GCi7Me77tZqWzikhzgLDwl1H+2Nd1nc7nkjbyucBf2rd+HKQTvlGmafKyRnKdCvGD/YS8N3cJb3LnjipVKj1TCIJGImU+CZEHX9n+EQdhceN/0ejhUBPHatFHaOj47fgBNSpYuVrmlaA+OC1Kbfgm2jRa8YoG6Vyz/j/5kRRh13VeUqBfA7wp5531e6tVdJ2GzIvUNddZ6QJjv+zZmy0UEtQGajMoMQEDyW8nk5l/P7AXwRRh0WaZRX+X/wLBqKOxzOeMpRhE6XdtGzw1zdGFxYtWhQgQjx5Ys2LbauRHs7TDq1gxbjW0vRQMa6ZfebcvHlzAM+bN0PPWGk1Myvqc6Kow+1SP7/rZVA7uOe6NK4tnFmE7I8RnBCWiDr8tlFOy8odyG7YVpSRkReUu1GZHlu86eFls//Uon0c/JA9PayyW6zbzcvREHXM8OEb4GApzRuudylukM1kKDNjG/bRISDf3OV6pxNpTcFq3pQoTR/K0XIB56lDU8bTOGkq0jgaPyWd8upkZUh5c8nTk/wiyP0yypqeRONf8k798iS8TBOmZFCZOrPi/bLR+l9KpNSDzdQseaKIrugDVJufTsmvv0wJvilR415LotTcWt8bRwM7qIfKMlMo6bVxvullCfTy68mUUaq4Sw6EF7Ko4zu231NJFHWM7arNTaXEVxIkuxJeSaSUzDISrZI9lgrOZ1Aic3xpPKWdGFB56viOMbeMekozKNnXTq5vlI/cPC/Hib5jjnszlXLqar3Tx+aGPelOrtRVn+pg++pxraYq8reBPJ5xrDGneszEqsOcKOowCx7XgqU05/NCPFe2r78cK4w4bhwSUAsqPaXpNIEFncnZVBvgDC2POVmUM/NV0hRp5HFfNf0qaU0Opf0be/5kkFoKUtsQh5jDbhJnZxLj6UyaNCnsOqKxA9+Xi9cn9bKYFMasPTyuXTx7m/gFr9mSn5+v4MlsOcOYm4tTRR1myhqBUUrz2y09ivOGHSxQzBGwRNSRgwbL/8DdXda8PeIAxHKdep9OjUdjrjuctZdTRZ1QKLG7pHjOHNhVE8pu2MYuAv6bux7Km+KhwClYzZT9pleMUd/UDZRnSDeW495Np5wjhVR4JIfS32VxZDyln2dhZ4A6ywspa6qHPG+kUV5RIVW0DRD1FlKq9IYxmbLyC6mwqIByFifTeBZkxJvJ+wWUwq7lLyVRBm+Xn0XJr0+giZMnKOILNK9PJI9nHCXNzaGCIt4um1LfYjEkgVIOsgyiYwcNUOE3CeRJmEDJmXlUWFRIBbksfLDQpP220t8Nlog6enZ1Ut6UcQq78jKTfTfxOdTsM8Ir6iRQwkuJlJ7PtudIophy+pXvBv+18TT+pSRKzy0Q+imB0opkAY6oOXciJXgSaMLULMrjPpmbROMSxtN4vskfA6IO34yK1yat5V1bqvynABasJeBUUSeUVqrvidYsORfKbtgGBEIiII69PSfSpLFy3JQcah7W2l0WdXKos7dMW6Txj/u+/YXxbKA0jV7V8PARbdA66lhcx9mZRFEnJSXFkRiCZbXlpDBOeHleVFSk4MlsOcOYm4uTRZ1gXNUxVhekFTriPAlmtxN/t0TU4cxR4o2pVVktzpW0KOoVjyEvr9LIHOVE0G60yc2iDr+dltPrsujIb0BRYkhAuLnryU8OnILVmE2JHm98FuVNnVfsSfimQOE9wgKKJJS8me0XH6T9/J4qRD0HUyWBQR3IV/II8h2LiVQsflUI/uhjJN+k+oNGVlDWGy/T+LllyjgAA4WUxoKQIEao7aD7BZT62rhR7yG5G6Q2C15F8nrxU7gJFlcHLgs32NKPoqeOd2u1XQNFaZTgSaSsOlVtkl2jQoxXvPFQypFRYYb30BR1mKs/5gJvVUbpIp/7eZTMN/Iqjl6hR8lRZVXcfOW3jPL4ZfTJU0jjtcTSe8jNog6fD4d8bup87txs6I7XUwTtigEB79ibRjm7k31esR56daZqzPPbpRxzNEUaYdyXdlOMZwNUpuHh47VB9JD1H3DMLnB2JlHUYc8dp5VQXlbwNcuql/6RtP/KlSsKnszWihTxzwZHIjEron3dLOpww4uONvrvi9izB8UcAUtEHXarkm9OOU6AVUUdFEs+hvjJ077isfC8Q7mdenPr7W53JKJO2elbtHfHVUumx+m1k1Oe79l+lVqaHuhtQpxm99lg/D4c6TbcaT+IN3e+B3txCpYktEzJk4QbxU1di3e6VtLiAsnDhb1c5L+8mexJMxqoVy1a6CKQbJlA2Y28RTNlv6HlOUTUvF7pqaNdn+/GVgj+HLIdLHh4PDRhvewTo3EE302wOuOV/N0/zSyE7Fdqu8pmesjz/1IpW2DqZZslCS+yUKUUb0ZtVK73cXhn1MPHu6Xyxr/nYAp5PDL70bpY/EljDypBHBN/jaflUMY1vvbzdJx4KzyuybF+OOhkLEokok7lpTu0a2uVlL42FrbLx+Rp57FKnSvbgM/4I+Ade71TlcfPKKCCxeMlT1RxrB5ttfLazi9aAkQacdznHRWiDhHJL08Ez1mvDRB1RjkTuUHU6e7Sz+InP8s4ZVyzWtSpqbpLC34slJ7ZNq++RLEQdyIRdfg5iWczXLnQLp52UV++0/aYeh44M8FC1GGYPKAlog4fm1O8Wf1mkYNiiRcDrWUOyiUWVov5TahV3kJi3dFcVrc1mseWj2VW1Ck50aTot9YWMUKHXHtkn2dU2V1uN1t/jMgsxN4KAoqbO/UULK+wkpzv7UPFTZ1vP1nECPxMoPRy75HUooX/+L091FzpnS6V8U2yP76ON82qvrDiFSDUN5cD1NNZS2U8bSgzjVLe8sXXETyEdO0YHqCelgoqLMqj7MWp/rgzhkKG7yZYL/uVN/MVt1R9gx3MU8e3vS82UCBXD3kme9PDK8UbP1VtTx2Bg3dLpV3N2zhQdppGunrfdmNA1AllXOOguWJhzxaOj+P2cU0dDLi99ZHYzKgsmxV1qi7fUYxrVsQ9ikqDcRAQCJGAd+xNoMRlcmaqCsrwpTHPa1NXory2S7+qRRrFuK8h6vCkZdU0LMX4rz7kGP3uhulXLGSon1vU39XjGo9n7JVhRWzUcE4Nq6dfqbMo8zNotItZUUftYcX3GSjuJWCZqGMXgm2/XNa9UCyde5rutI5mSuILg3gRuVGrjoZql5XW1yu2g5djUcyKOuob9/1hxLPhPuRpdxw7YNBg+kF25kVFX3MGLRQHE1Dd3CmmYDVm0wRPMuX5/l0VN3Wq/YxaGCCm9FZQlhR7h988cmDiCZQ0PY2y5/L0Lw8FE3UGTqQqY+ocTJXizUgCyEvjacIbyZSamUGp7OkjiBkBdtAAVWQm+d3ZE16ZQBPeTaG0TekKjxjNtqnfbGpuxCvVN9ghijqC3XpVWyrqSN5PY1vUYc78Vkx9jRe/i9NFOXOV+JtTU6rqnT/ienWKU6tS3YrHCLZsVtRhz1OxH7as8anJwQ6I30HAJQQUY69sc2WGFFsnYbKxF6a8uUKkUY/fmuOZ0sNH0wa58jH66ZZAyUf21SmukeL1kpfFcY27Uvz9+MH6qPWu1YGSA0SdUveIOjwTROwHXkZxLwHHizp80yfHRhFPPI6TUl9zT0FenTrNSC1tv/1IN2WootIYfRH/0fRSwNltmllRh134xL661fQwqKk3arv8GdTEfUuON2nuW3FReYzmRv0pWJoVYGV0Cahv7qQpWN64LdI0J9/UKzZKcVMnCT5Bpij5WqIWU6RYOZ4kyqpUenF5xRpZ1Alx+pVvytir3xRQpyK0jG9/QRxR20GVGVJAyKQ1FdQjzgQcKKTUYFOONG+CtbouXFGHYxKx2KWTXl44hJWijtH0K0XsHeH48bjInjc8/Ui81snL6um26nHNyinO0WbLbcuYXSK1Oxyx30o7zYo6TQ3div5SP6BYaSPqAoFYEFCMvYIBFcu807Am5opThdVjjryDINIsSxNeoGh76kh7CR4+GTwt2B/LTq5zbH+6KaW5+Owij2n8qR7X1NtxkOVoFatTml+vukucipvbuWVtOT17Fv3YOvDUidbZ4+zjOF7UYXzs1nflQpv0dpNjqHBAJS039BOHbyhuuvRc+kQ1ef9OZEXSO0XNijpcX9XlDsrZWEGN9cG9pe7eMc4GU6wj7HBsCk5572aPLD32cbdeLeqQdwpWwowsynjD48se5W218sbSGyjZ829pVKZIqeq9cUx4JY0KfeuVYorvhjMgxksPFXAmKr+nDlFtJt+wqgL89pZRupSdyjf9ymd/WqmqZ+qyKJGFGQNRxy+KKAIIE/UcSfWmRjeacmSbqEPkDZTsoaRt4o06EUlxjMZR4ibv1Fa//SqvXOV6vRt81XqdQMkstElp4o1YqNDHw1f2umGRhrM48vilNWbx2Gd0c+xGDk8eD8bMbLOiDhvccL2LWGS7eqUjZvbjwCBgFwHl2CsexTcNSzFOqq7t4uaySOOb3uv1ijUQdYRpWN6pwOppz2LlY2953bp1AYF9W1tbHQuCBfCTh2/Qzs2VxB44WuNa7bV7inGNn+2iVVasWBHAs6urK+LDD8VAzJGNNivq8P5OiakjtwWf5gm4QtQJtXkc04cvDDz95+ThBs3d+OIi3iDzciQ3mCMjL6SLljzliD85zk8s/7k1G25iZSSiTjiHY2FN3Sfq7/19Q+FUiW2dRiBA1CHyTsHit3IpVCA406hvLAfOp3vTkMspx4/kUMbUCVJabPHNYcWyV8nj8abd5pTm8tvFCV9m+1KQZ1HKm+Mo4aVxkoDgv9GUBRx/Ku5sSn3dK/z43xiq055Lqbgn0ssJ42jcS0pRR20He+pwGvWE11Mpm1OyF+VR1vREGsf7ipmhtPrMQlEnwC5qppzJ3pTsMqO8TamUxO15Ld0voinFm1Ejlev1bvAD1zdvShJSmhdS3mJOaZ4wJkWdUZrGS8XHmiRPRnUMOeO98KsWgUhEHa36sA4E4oWAeuxVtMs3jnn8QY0Dr+3i9vI0LPEFSkCgZHEHf6BleOoosBBRTk5OgAhRXe3+kAPiuGZ1TFY1Q/H77NmzA3gODsbuRYNom9nlSEQds8fEfs4jEFeiTqh4OWOWKBqEup96u5Hh57RxlTK2i1iv27NTREvUEZnpLbNXDoqLCWiIOuTz2vBMV6Yr17qxHKjLo/Qp431xaTg+TjJlFHUqgbQUUOqb4yQvnIT5FUTUQ2WLRwMjj3stiVI3lVFnZwGleDyUuEnwUOmppZxvEullFlkSXqbEb3KoYA0H9R19YzhQl0OpcmDkhJdpwpQMKmjsIUksSUijQnlaVoAdRD2lGaOBkV8aT0nfZFNZZycVTPeQR0jLrmyQ8ZtN5bbqG+zAmDqkYZfEKDOFEl/xiViSbTlUK4hsSvFm9KjK9erjy9tprR+g2txU/zHHvZlKOXUFUiYww6DRcpX4BIEICEDUiQAedo1rAlpjr9hg74sSD42fz4GUta7t4tY8xVfpFWss6nDGlUJK5TFYGHfFGsfqMqfbFlOa83JpqdpteKzSCb/dX3zxhYInZxdze4Go4/YetMb+MSnqcLR1jsmzeU15wDzPcLCWldxSiENqQaIgvy6c6hy3bTREnae9zwwZykw5eDIKCIBAvBLwpjQPmAoWr81Fu2JGAKJOzNDjwCAAAiYIlJSUKEQIFnVY6EExR2DKlCkKnpxdzO0Foo7be9Aa+8ekqGMNOiIO7CWLDnqfnOrdrSUaog6zyZjjDZypx5DXt90SXAfcChR2g8BYJ8Au/K9MoAxV4iCvq36CLyPZWIeE9ttJAKKOnXRRNwiAgNUEKisrFSIEizpr1661+jBjor579+4FsOTsYm4vEHXc3oPW2G9a1Bkefk737z21xgoX1nK3wzi4ryxQcJYtt5ZQRB2OYL9myTlaOqdECvZppq2XzysDgcrs5M+1S8vMVIt9QAAEHEfAF3BTjl9UVEh5mclSqvjAlLmOMx4GxQGBUEQdzmzF8fF4XNu5pXJM3+vEQZejCSDgagI9PT0BQsQnn3zi6jbFyviioqIAlhs3boyVOZYdNxRRh8c1OZv01nWXNQNYW2YQKooJAdOizsas0Vgy6lR1Ri158miQOOq52wWhwcHhoF46LEpw6lq3lmCiDmeekoUX+ZOntZkpe7Zpp/fl+Edtt9wrjJlhgX1AIK4JSPGLkmg8B2TmANKvJFJKZiF1iune4xoAGhdLAsFEnfzcawHjGo9v/f0I1h/LfsOxQWAsE/jpp58CxIj29vaxjMRU21etWhXAsaqqylRdTtopmKhz/epdzXHN7c/iTuoDJ9hiStRhEUd+iOdPjk0TahH3C0cMCrV+K7bb92s1rVpYStmZF6VUb3p1cqYtsT3q5cwFpcTZsdxajEQdTiOubq/8XS/zmMzhxQttJrXX7krZy5b9fJrWLTtPZ4uaaXAAT3oyN3yCAAiAAAhERsBI1Ol7qh/jLdi4FplV2BsEQAAE9AkcOHAgQIw4efKk/g74RZPA9OnTFRzff/99ev78uea2bloZTNTh53T5OqNV3gAAIABJREFUGU383LI29Od3N/EYq7aaEnV4SpF4UrCbcihFLQbt3XEtlN2iuo3axh0brugen6dgsXu2yEJcvnLBvIrOAYQrLprfX9foMH4wEnXUnMR26zFjgWb7+isSr61ry0lH2wnDQuNNOX190bFGYnuuXGgz3hi/ggAIgAAIGBJorLsvTbPl6/3xg/VUXanKQGe4tzN+NBJ1eMwQxzJxWW9c41bxeJgxu4S2riunvqfw6HFGT8MKEIgfAi0tLQoxguPqrFy5Mn4aGIWWNDU1BTDMzMyMwpHtP4SRqGM0rvEYp1fEcQ0ePXqUnLXelKjDTZAf6ndurqTmxgchtaqmqlNxw8R1WFXYtYzFpf27aiKqUu2iZnQjxwdqvvFA8uoRb/6WzCqW1ps1pKmhW8HJbD2R7mck6pjx1Ck82qhoF2cPs7NcOteqON6N2i47D4e6QQAEQCBuCdzr7KWlc08rrqnsjcovINxUjEQdM546jfVKr9W8HOe9rHJT/8BWEAABbQKpqakKUWLatGk0MjKivTHWBhDQSg1/+vTpgO3cuMJI1OH2hOupoxaCQnXecCO7eLLZtKhjBsKjh/10aO916cYwUvFFPL5aBDm6z3wq8Qf3+yTPDlmkaW0JnnWJb3Y5TTqLVPzJ3yMp6qxaZt6GyqJbJMKZkajD7Qs3pk5pYbPigeDA7sgEuGCMWZCT+5E/gwl0werD7yAAAiAwVgnoBbS/VtERNSTyuHZ0fz097hkwdVwjUYcrDDemTsWldowzpnoCO4EACIRDYPv27QpRh711amrsvY8Oxz6nb7tkyZIAft3d3TE3m50J9u2spnMlLcRxZ82UYKKO2mFBfjbS88BRizqcEAfF+QSiKurYhePi2duKmyoOrhtJ4Tg43V199GwwcgWcRaLnz7VjyOjZuFsVNDhckYiFJfkflj/5u5kSTNThOvkmO9TsVz0P+2l+WqHftobr9nrO8JQrkUO4HM0wwz4gAAIgEI8EqlTjinxt5fXRKOpxzewLi2CiDrclnOxXfFPMbzFlHnxjjgICIAACVhOoqKgIECX27Nlj9WHisr4HDx5QcnKygt/8+fNj3lZ10h2zsduCiTrc0HCyX3GGaw6TgXEt5qdIWAbEhagzODhCq5ec8598PM3HCeXk4Rt+m1glDbWwdxB7lbA4dexAfai7+bezykMlFFHHf9AQFzrvPKHbzQ/DFrpCrD5gM55yxTyQQSsADVaAAAiAQMgE1OKFfLPX3hqd7IRWjWuhiDohQ/FtyGz4zSb/oYAACICAHQQGBwfpo48+UggTH374IXV0RM9b0o52RaPOHTt2KLixl9P+/fujcWjDY8jep/J4yp9mSiiiTrj1dndhXAuXWay3jwtRhyE+fjRAhUcaKZqu4Eadx2nbxX/StUvLjDa39DcWMMRjmxU07BB1LG0oKgMBEAABEIgagYfd/bTXl/WRs2bouW7bYZB6XDMb/N4OUceO9qJOEAABEFATyM7ODhAnNm7cqN4M3wUCzc3NNHnyZAW3iRMnEq93QhGf1/g51kyxQ9QxYwf2iS2BuBF1Yosx8OjXrnQohBXO+hTNwlON+M1mJFOOnCLq9D42N8c0mrxxLBAAARAAAXsJyONaJEHvIerY20eoHQRAwD4Ct2/fpkmTJikECvY6qaszH0vUPmudUfOaNWsCeG3atMkZxhHR8NBzKsirpfqae6ZtgqhjGl1c7QhRx8bu5EDArMCuWniWOtoe23gke6qOtajDF7hFPxVLDIuPN9nTSNQKAiAAAiAwZghA1BkzXY2GgkBcEti6dWuASLF8+fK4bGukjaqqqgpg9f7771Nra2ukVTtqf4g6juqOmBnjaFHn4YN+4vg4nDGLM2e5sXB8HA445cYSa1GHAzCLbok8pQ0FBEAABEAABMwSgKhjlhz2AwEQcAKB9vZ2+uCDDwLEiosXLzrBPEfZsHDhwgBOnEUs3gpEnXjrUXPtcbSoI2aB4jTfkZTGuvt0ZF+dqwWiSNpvZt9YizrZmRcVoo7ZGApm2o59QAAEQAAE4o8ARJ3461O0CATGGgGtwL9z5swZaxgM23vmzJkAQYczYMVjYGmIOoanwpj50bGiDkfdFr00ePluxxPTHZO5oNRfX6QCkWkjXLZjrEUdziQinwMcnBMFBEAABEAABCIhAFEnEnrYFwRAwAkE7t27R1OnTg0QLZyQ0ckpfL799tsAPrm5uU4wz3IbIOpYjtSVFVoi6oSbxnNk5EVIsDi7hvxQz0F/tcrlsjZiwWb9ivNUU9WptQk9eTTor0euLxKBSPMgFq0sOtrot5WnnbXd6rGo5vCribWowxYP9A8Te1mhgAAIgICTCXAGRhRtAufP3PKPa/t31UQ1a5baIog6aiL4DgIg4EYCu3btChAtOGhyYWGhZc3hjIduLOnp6QFspk2bRvfvW/c8ceHMLVq3rIwWpBXS1nXlVH+9K2xUgwPDYe+jtQNEHS0qY29dRKJOU303capuFkpCSdl95lSz/8bucF5tSLSP7q+ncyUt9OB+X8D2TQ3d/vrYhoUzi6Qo4gEbEpEoEGUtPqu1ibSO47aI2+bnXqPqSm2xSLcSkz/wsWTRSfwMJW1sfU0XbfvlMi1PPy398fKls5EFArND1JGzl5hNs24SLXYDARAAAVsIcOy3zWsuSdfu3duqbDmGmys9ffJmwLi2fsUFCuVhgV8Y7dpSRTxmL55VTJtXX6Ky07ciwmGHqFNVfod+3VRBFRfbI7INO4MACIBAqAQePHhA06dPDxAvWNi5ejUy73Z+vuPrLj+L5G6soP7+oVDNivl2mZmZmkz27NljmW1lJaMvKsTntYYQhJ3eJ8/oZMENaUzjfZenn6HysraIbLND1JGzcl25gHEtos6J4s4RiTqcgk08mc8HudkSt+XlJxGmqt65pVJx/Hk/nCKetqVXrl6+QxyXpbnxgeYmWjefss3nils097FqZff9PmVbZpzyf2e7jMrl823+bWV75c99O6uNdjX8zWpRh4Uc2S7+jCTduqHh+BEEQAAEokRg52blOBStlwBRal5Eh+EHAfGaLy4Hm1LLHpri9uJyqC+FtIy3WtThm3jRtoult7UOi3UgAAIgYDmB4uJiTQGDp2b195v3slE/37llXNu8ebMmj59//pmGh63xiuFOZCFGvO7Ly3w/YFQ62h9TxuwSzX31ZqQY1Sf/ZoeoI7eJPyMVnWQ78WkvgYhEnVNHbihOTP6uV3jKlXiC8HKk7ur8dkysk6dhmS38hk2sS2vZzgxcYvwY9bGNRJ2+p0OkzhKl3r/11iNTWKwWdfiCJdoWyQXMVIOwEwiAAAhYTOCX5ecV17WaKHl2WtwMW6pjL1Pxmi8uG13/nw2OSNOqxe3VyzdvdJuy2WpR5+j+OkUbsxbpewKbMhg7gQAIgIABgZ07d2oKGV9//bXBXsY/qZ/veDaA04uewPXZZ59RZ6d1My60QnrI49OajDJDTLu2VinGC3k/+ZNf0pspVos6Wk4OZuzCPtElEJGoc/3qXf+NF7vpscBgVPjtmnziGt3QGdWh/o29b3i61J4I3d43ZikzLcl2ip9G4orarnC/G4k6Rv/krJ6KNmotHz9YH6450vZWizrw1DHVDdgJBEDAwQRaGh/4r8H7d9Y42NLomzY8/Nx/j6Aem44d0B+X+N5Cvb36O8fmMVOsFnU67zxR2ApPHTO9gn1AAAQiIbBq1SpNYWfBggWmquVrMIdz4OvuhpWhTZc1dSCLduI07zztTOuvpsbcWGFk2pJZxYrrvjw+cdZmvcJhROTt9D5XzDujt7vheqtFHT6YaCM8dQzxO+bHiEQdbsXI8HMKJ1AyT7niGAROK0vnei9e4kmsXrZT1GEeWjF1OPaAUUydPduvKv7x1Dbz92DugHp9YbWow8dBTB092lgPAiDgVgL8QsOs54hb2xyq3Vpv/IKNaxxHT2ssE9fxmG2mWC3qsA2tLT3EYzFi6pjpEewDAiBgBYGZM2dqihpmY8kMDAwTi9ZOL4ODg5rtZoGnpKTEFvNLTgTGiuPxqbNdn9e1Kx1BxzWugz1Vwy12iDqIqRNuL8R++4hFndg3wRoL5ECX4k2jetnIY8YaK4j47SWr49mZF6nwaKOhoMPH1LphVtvNWbTMFDtEHTN2YB8QAAEQAAH3EuBxiqdH89j066bKoOPa1cvBb37NevvaIeq4t2dgOQiAQDwR4AxPWt4qa9asiadm+tty69YtzfYyA7Nilr/yIAuc1ZHDXyz8sYg2rrpIwYIkG83IkJ/bFv1UFOSo2j/bIepoHwlrnUwAoo6vd0IRR4w8ZmLVyfx2WL4Y6H1y28wUiDpmqGEfELCewJDxzFbrD4gaQSCGBFqaHto2rkHUiWHH4tAgAAK2Enj8+LGuyDF79mwaGBiw9fjRrPz8+fO6bf3ll1+iaUrIx9J7TpPXc8ZnMwWijhlq8bcPRB1fn3KKuexV+nF1zMalicYpc/KwMmC1fHHgz0iCR0PUiUbv4RggEJwA34cNPQu+HbYAgXghwNmxxLFMXDbrpcNsIOrEyxmCdsQDgb6+eGiFs9pw8+ZNXbHj448/pubmZmcZbMKa/Px83TbOmzfPRI3R2cUoWzGPcRx3x0yBqGOGWvztA1FH6NP+viHKy7mmuJHMmFNCZpVToWrbF1l0Em96efnovrqIjutkUafv6TMplhOLcSggEO8EWNTpuEP0DKd7vHc12icQuKyRCCB3YwVFkokSoo4AGIsgEGMCt1qI+p7G2Ig4PHxPTw9NmjRJV/g4d+6cK1v99OlTWr16tW67cnJyHN+ui2dvBzyvrVp0ljjpgtkCUccsufjaD6KORn+2335EHKiRo78/7onMVbHwSKP0z8ufdpcbtfeJLxb8x8uRFqeKOuqpcof31kbaVOwPAo4mwKIO3/zegbDj6H4aK8bJ12B+4RHpGBmMWXPjA7pyoc0/Jo+MvAi2i+HvEHUM8eBHEIgqAR7X+O8phB1buKenp+sKIBxzhkUSt5SqqirSCwbNMXQqKioiakpd9T36Zfl52rz6EnXdtZfL8+cviNPEXyi9TZwZONICUSdSgvGx/5gQdSrL70j/pItnFUvTkbauK6dWC/6Jgp0C9TX3FGosf3dTcaKoU3tNyVT2Tio7fctNaGErCIRFQBZ1IOyEhQ0b20CgqUEZx40D+rupQNRxU2/B1ngnIIs6EHbs62kWb7SCJ/O6r776ik6ePGnfwS2omaeLcaBnvTYkJydHPKWMs3zJzxP8yclz3FQg6ript+yz1VJRh71D+A2ek1K7ym8UxX9WXuYI48EilRth5yjm8p/edvt2VisuEvzdTcWJog6nwlX3JX/n9SggEK8ERFGHb37b2zEVK1772unt4rTd4jXYbeMaRB2nn2GwbywREEUdXu7tHUutj15bCwsLdUURFkvmzJlDFy9ejJ5BIRzpwYMHtGPHDpo8ebKu7UuWLCGeahZpYY8ZcVzLWnw20iqjuj9EnajiduzBLBN1OHCh+A+xf1dNzBsdLH0cpw0fGBgOy87i4020dO5pRVs5ULFW6WhXKr/83U3FiaLOktklCvbyOcfrUUAgXgmoRR1J2GkjGhyM1xajXU4lcK+zV3ENZk9YNxWIOm7qLdga7wTUog6EHft6nKcncaBkPY8XXr98+XKqq4ssHmekLRgeHqbDhw9TSkqKoa0bNmyI9FD+/YeHn9OGlaMvjSsvuWtcg6jj78oxvWCJqKPnDRPMY4fjzGzMuij9cR1WFxaW5Id+vU+OmxNq2fer0vNGrFMvO1Z76yPJe4k/3VacKOps++WyZp/yehQQiFcCWqIOhJ147W3nt4tfmMheuYOD4b0YiXXrIOrEugdwfBAYJaAl6kDYGeVj9RJPZVqwYIGhWMLiTmZmJrF3T1dXl9Um6NZ39epV+vXXX+mHH34wtI+nW/GUMqvL4MCwNK7xFGO3FYg6busxe+y1RNTZuaVS80H7vEGck76nQ9IUKFkYyTDpacHCUWO9dlBgtUeNfCzxkwMih1LudijfTop1yMvVlZ2hVOWabZwo6ty/91Shpsvs+SEjFsVtDzSxYIRjRk5AT9SBsBM5W9QwtghA1Ane3/39Q8E3whYgYAEBPVFHEnbc5dxuAY3oVVFcXEzffvutoXgie/TMmjWLdu/eHXHcGnXrBgcH6ezZs1I2q2BeObIt7J3TzvPPURQEIOoocIzZL5aIOlrptPlh28gLprvraYAQ9LC7P6yOED1xNq0ODGq1eU15wDFkEUD+rLgU2sVBzxtJroc/D+29Hpb9Tt/YiaIOM3va+4xOHm4gnvLHadtZ6NErne1PqCCvlkIV3DhVLvfjpbOtelXS/a6nVJBfSwt/LJTOr+XpZ4jjTKCAgF0EjEQdvvltw1Qsu9Cj3jgjEA+izqOeAeJp31cuhD7ucMyIkhNN1PvkmWaP8rh6quAGLZlVLI1ry34+LWVm0dwYK0HAIgJGog7/9gTCjkWkA6sZGBig/Px8mjp1akjiDgsrn376KW3evJmOHj1K58+fl6ZqdXR0UH+/9vPbixcv6OHDh5IgVFlZSSwm7du3j+bNmxfyMfm4ixcvpupqd8UlDSRu35p4EHX4+YufpcJ5Sc/T5HjcMnoOPLKvToq7ys/pHH+Vv8drsUTU0Ypdk7mgVPfmQYa5Ze2o6LJ3+1V5dUifTx4PBgg2PNdfLKeO3AjYRhRheFnPy0esh5dDEXVYZIin4lRRJ1TGd1ofKfr/8vm2oLtycDT5HMnPvRawvTrzi7wtf+7ZFt45HFA5VoCADoFgoo4s7PB2KCAAAvoE3C7qsPiSubDUP06Fkn3sgDAVnVP2qgun72URRxzP5GW3ZYFRtw3fnU0gmKgDYcf+/mNRZuPGjWGJLLLnjPj5wQcf0Oeff07s2fPdd9/RtGnTIq7z+++/pzNnztgPweVHiAdRRx5z+DOUkCwnC0af8Xn84rhI6iLWqV5WbxsP3y0RdRgEq2SySMOfoSptPH1KK94Mv1Xim4n5P5yi7MwLdLY4cJqUGDSXlwf6lXP7+eZH3Ynid47nE2rRS6Ut1gdRJ1Sa0dlO9OTifgrWP1ripNrSFfPOGJ5TNVXxNQVP3f54/s6CiJP/Qrn5bWv1tiGe+wltA4FICLhd1FG/YFq1yDhLC3urivcpvNzR9liBMC/nWsA24j5lBlPpFRXhi+MIOHlMY9tCGdcg7ETntLp+/TplZGTQe++9F7EYI4o9ZpY51fr+/ftpaAhTQUPpfbeLOupxjccfo6L1fF9fo4z/VHSsyXBcY8ePeCuWiTpWgjmcV6vZETu3VNHIyKgSxycBu1KtyThHeoGKWWzSSoOt5YVh1IYnjwI9g8SbHl4ONT6P0XGc9JvbPXXUQlywKVJ8bq1dWuY/9w7uVk6nu9380P+buu/l71pvQZ3Up7BFn0CoN5dO3w7Cjn4f4xcQcLuoo/ZA5YycwcoWYSr6ZtVUdS2vZ3k8kz8X/VQc7BD43aEE7t4NXThx+tj2RKlFOpS4+826f/8+FRUV0cqVK+nDDz+MmsCTlpZGO3fuJBaXUMIj4HZRh4NUy+MNfx7dXx8UwO5tVf59Vi0sDfDUWTnf+CU8H0dvOnLQgzt0A8eJOmUlt/ydJHawvJyfG/6cypGRF1J8HxZdeApOY512YOVgfcT7ynaoPzdkXoi7k8Ptog73J8+3/GXFeSo/px8jR+x37uM926/SsQP1VF9zT/yJOPC3ut/V3xfNLFLsgy/uIeD0G9pw7IOw457zDpZGl4DbRR2mxW8k2dM4FBd13p5fSnH2Tv5jEUcsXJd6HNP6rt5PrAPLziUQT6IOj4GPIexE/WTjVOg8PYvj6ZjxujHah2PrHDlyhDo74eUeSce6XdThtl+9fIf27rhGPKX4cU/wWALDQ8+lmKm/bq6kzjvK4Fv8XWscU69rv+2+zNRG54njRJ3FviB9avDi9/6+2LnjsbcH30yJ9vBJ2BdDm4w6OJLf4kHUiaT96n15apXY71rLqxYau8Kr68R35xAIRzRxw7atrUQ6sQudAx2WgECUCcSDqGMlMr6p1RrL1OusPCbqih6BeBN1IOxE79zROlJrayuVl5dL6c55etS2bdto1apVNH/+fOL4N5zFatKkScRpx7/88kspvs7SpUuJs1axFw4LOOfOnaNr167R8LAyZIbW8bAuNALxIOqE1tLQtuLMxOoxTOt7vGUwdpSowzFxtKCr17H7sR3lWkUHcYDn3SEEvOU3X3wzFG8nhMjViaLOs8ERKi9rCznAtdieSJfV7oHq85K/Fx1rjPQw2D9GBNwg1IRrI4SdGJ1MOKxjCThV1Ll4tjXAOzRaELXGMnEde/iguJNAPIo6EHbceS7CavsIOFXUYW9Sdawb+ygoa+ZZF+I4pl7m3+OtOErU4WlSauha3+1wl+rvH1IcWy9GT7ydAEbtcZqo093VR2Ka+lBdz43aGO5vHL9A65zkdYt/KqKnOuliwz0Oto8+gXAFE7dsD2En+ucSjuhcAk4UdTjGnzyuhBvvzwrSVy7oTy1nu7SSWVhxXNRhP4F4FXUkYcee97v2dwqOAAIWE3CiqMPPaLEc1+52PKGlc0r8Nsi28Cev59/jrdgm6rTd6iGOf3Ox9HZYzLSCGosdwdmw+p6GNv2qufGBFESZ99+1pYp4/p1e4WlV4nHYY2esF6eJOqFkp4pGnxUdbVScK3zeZC06G3LGt2jYiGOET8AtIo0ZO1tvE/X3hc8Ee4BAvBFwoqgj3nvwMr/AiHbhDFdqOxbOLJLiEUbbFhzPOgLxLOrwWPgIwo51Jwtqci0BJ4o6a5acU4wpoWbFtrITmm88IA6iLI5t/J3Xx2OxRdS50/ZYAbC0sDlkdjwFSoSvXmYX5VBLQb4yi9b5M7cMdxWPVVYSmELdcOc4/HGsiDrPn7+gykvttG9ntZRF7WZDd9De7Hv6jKou36FzxS3EWbFQ3E/AjFjipn1Y2OmL/rOi+08MtCCuCDhR1FHf/PI041iUoWcjVFPZSSUnbppOKBELu3FMfQLxLurwGIzgyfr9j1/GBgEnijpqJ41YiDrc+/c6e6UgzOw5xMGY+Xu8FltEnUN7ryuEGQ4sHE7hjEWiwCIvFx8LnrpTPM6BXTWKekpOGO//sLtfitfSFMJDvXiceF12mqjDnDlN+Y4NV6S/1paeiNFz8GNO1yqfY/Lntl8uU8+D/ojrRwXuIeAmgcasrbch7LjnhISlthBwoqjD9xwbVl6QxiEe41BAwCoCY0HUgbBj1dmCetxKwImizv17T2nr2nJaMqs45EyNbuXvFLttEXVamh4oHpJ5alO4hd2P2cPnZMENKZW0mQf46srRbEU8nephN15Th9MPThR1wrE/2LacopWn88lCjvozd2NFsCrwexwRMCuUuG6/W/DYiaPTFk0Jk4ATRZ0wm4DNQSBkAmNF1OFxGFOxQj4tsGGcEXCiqBNniF3RHFtEHW55w/Uu2r7+ClVcCl/QsZIcuxM/uG+/mMPRvTmI7vWrd4mn87i9tNxqpTfe/DOtXbfRFU1prLtPh/NqaXn6aSmY8qkjN+hp7zND28UgXmpBR/7e0W4cSOvq5Q5iF8OThxsMj4UfnU/AdeJMC5Fpm1nYeer8PoGFsSXAcen45cq1Kx3E2SndXu7f76a/TfwX/TR7AY2MxGaKUzgM+UXUqYIbtHZpmfTHy+xRbGfhjJ6V5Xek6cjnSlqIM32iuJfAWBJ1IOy49zyNpuVttx5JoRPY4YBf7rq99PY+pakffUGffv4d9fXZOz5YwYqfzfiZiZ+d1mScoyP76qIy3Zf7nWd65GRfoftd8XkDbJuoY0XHu6GOqnLtqWLlZaHH/nFSO4+fKKIvUtPo33/zJiW9O4X+6w9J9M5f3qf12Vupre2Ok0z122IkzrD7n16R3d1lAUfr82yRfjyouup7Ci+fYNP79OzAemcQMC2QRCKuxHjfp/r/Hs7oFFgREwKN9fdpxbwziusbXx/5WuvGcq7sIqX9NF8a1955dwq9lTRJemmxbMUaul5b78gmsbCiNSbxuismvJ9DbeTNG92K4+KFRajknLndWBN1IOw48zx0glWcOXndsvOK6xtfT08ccudL2ctXqih9/lL6z9cT6e0//5Pe+csH9JvfvUULFq+gyqprTkAeYAM/k+mNa3beX7B4Jx53U9alANviYQVEnQh6UX3zI54wvMzxWtxQbjTepFWr19Obb/2N/ud//0ELFm6kM6UtkhfAzaZh2rLlGE2d9q10Q5z67U90qui0Y5rFnjRq7uJ3VoJHRrQ9p/jtp7it1jJ7X+mV/TuVMZt+3VSptynWu4DAWBN1IOi44KSMgYnsHaJ1LZTXnS12RxKBjo5O2rh5B/3l71Po9TfeppmzMunEiet+77a9e8/R51/Nlca1aR9/RfsPHqGBAWe8teVAyTJvvU+7PKe0XpLE4DTEIS0iMNZEHUzBsujEibNqhoae0/L0wBcV8vX1+EFnivvqbnjwsIdyd+6lyR9Ml8au72csoUOHrvjHtYMHL9M33y+Ufvsg+RPauTufHjkkkjg/i6mDJ8v85c9gsyPUPEL9fuWCMsP14lnFoe7qqu3GvKgTiStz7qYKwxuv+T8UOvZkGB4epsMFx+njT71iTcpnM+nXnSX+C4PWA25JSROlz19Pf/ifv9Ef/zSR1qzbSDebjTOK2Q1gvyoYtnxhED95SpxWOXag3rD/uA4W7vTKnVZlljcE2NYj5Y71Wud8vK6DoOOOczIWVh4/2BD0uvjihbZQHgt71ccsPn2Wvp0xR7qp/dfUVNq0+QjdaBjUHdsuX75Hy1fm0l/+liyJP4syMunqtRp1tVH9zp6+4himtRxOJtBwjL/boXxRUnikMZzdsa3DCIwlUQeCjsNOPgeZU1ZyK+g19XHPgIMsVppy/kI5/TTbK9ZM+ucntHaIXw3SAAAgAElEQVRdPlVXP9Yd165d7aHVa/fSxMkfS2Ph3PQldKk8tnFCr1xoC9oHJw7fUDbcom8vnr/wJyPg8fRskTteToXbfEeJOvyGaM/2q9L8OjPBlcNpPIs5S2aXSCfY3u1Xw9lV2ra/byjoycknTrfD5u2xq/nSFWukaVVv//l9WpKxjS6cb9e9MOg91O7ILaTpKT9IF4vPvvyBjh47FTZDK3ZYOvd00H7guABapfOO8uZVfeO8esk5rd0U6+60PSbO9na7OfJMXIqK8SXqBPTO9XhbD0En6qeWqw4YyjX1Rm2Xo9p063YrrVu/md5OmkS/T/wL/Zy+joqKb4Q9ru3bf4m+/tY7TetfUz+j3Xv3E8criHbhexL1eKT+vmtrlW1m8djI2UPra5CJyzbIUap4rIg6EHSidEK59DDrVwROu1JfU9mbw0nl7t0u2rItl/723of0m9/9kdJ+WkHHjlWHPa4VFFTRD2nLpGlaE9+fRjtydlN394OoN1WdkVrNn7/v3hb+83ioDel7OkQcb5XTmsdrcYyok597LeAmxs7Unjs3VyqO1976KKw+7ursVeyvdXLyupamh2HVa8fG/f39lL//ME396EtJhPki9Wdi13MrHlbPnb1NCxdvorfemUR/+ONfacWqddTQEL03e5vXlAftB6Ng3RwHR6vv+MHm1s3Y950d5wPq1CZgxf+D0+uAoKPd91jrJTA8/Fzzeqi+Rjrl5vfEyWL68usfpXFt2sff0/btJ6n55vOIx7aqygeUmbWb/v7eR9KNMMct4PgF0SqH9lwP2g98g4wCAsEIjAVRB4JOsLMAv6+cXxr0mmoUbiGaBM+UltH3aT9L49qU5C9pQ/Yhqq/vj3hcq73+lNat30/vT/lMqvvHWfPp3PnoxZYJZXYEawEo5gk4QtRh9171TaP8vb9/yHzrDPbcmHVRcUwODBlukW00+hwail2GjcqqalqwaAX99r/eor/8PZlWZP5KV650RXxh0Htw3bnrDH36+SzpYjH9k6/p4OFjNDQUfv8N9A8R//Pv3XGV2BXcqLDqasSffwvWt53tT+jo/nopu8jGVRelqPjPno32G8c32Lezmi6ddWfwayN++G2UgN55HS/rIeiM9jWW9AlkLTob9JrKnhyxKo1N+jHg7PhfPXS4gr7/IUMa1yZP+ViKZ/Dwob2emTxlONi4VlMZWcy+wcERaZzNy7lG9zp6Y9WdOK7NBOJd1IGgY/MJFCfV7/u1Oug1Ndizgp0oOBENJ6RJevef0kyKWXNXU2FhvW3Pa8dP1Ehx5n77X2/TX/+RTJu35lLnXXs9M9lRI9i4VnRMP45pqPy5Dp71c7t57L2Yd4Soo/aaETs9XA+aUDudgxhzoCQ+1qbV5pTKwqP6YhTXyym2o104INauPfuIA2RxBqtvvltI+/dfsu3CoHUTfeHiHVq6bLsUif13v3+HMpZlUXVN6Cy2rhv1vuEHDKPCqfHE80W9zOJdpEWsEypypDSdu7/WuRwv6yDoOPe8c5plPPVZvOapl9eEMC3V6jZx+nGOAZfy2XfSuBZKDDir/3c5fgHHMeB4Bjy2zpq7kC5cvGx1U/31GQXyt6IPtq+/7O/nYOOs3ygsuI5APIs6EHRcdzrGzGAWbNRjmfg9Y3ZJTGw7WVhCnICGx5SpH31LW7ceJ05QY/X4pVdfQ/2gFHfuX1O/kmz4/oe5dPpM8NATZmGpHSrEPuBlfqaLpOTnjop3i2YWEQfIHkvFEaIORx1Xd6z8/fGjyLJRGJ0gw0PP6V6n+TdU7IWjF8mbb5IeP4pe0C0OgMWBsPjCMHHydMpas4euXu2J2oVB74KRl3+evvza60b44bQvKC//EPX19ev+j9288SDgXAjWR5wiT6sfrBBgkAlEt6vi7ge9c9jt6yHoxN2panuDcjdqJwFY8GNhVN9+1Uox4FZLby7/FEEMOKv/h48duybFN+D0sX9/bypt3b6TurrC9/Y16si2Wz20bllghsa1GWXU2hKZp1BLU/jjrJGt+M25BOJV1IGg49xzzqmWGSVWqau210tFZNJ0s4VWr82mt/40kf7wx79JCWhOn74Z8+c19gyaM3cNvfGHP9M7775P67O3UWur9XGGtMKt8DMcP8tFUjiGrawdyJ+x9L6KpC1m93WEqMOxS+QOED/ZXc5sefSwn7IWn5PqZY+cBhsDO54rbvGnyuNYLKdP3KQhYfqO2TYE2+/+/W7anrOLOPDVf/w2kWakLSUOiGX1DawV9VVc6aIVK3+ld/8+lfhGeP6i5VRZpT13UnyDyK7hoRROlVde1ia53PHULb2MV6HUpd5GPCc5KDJKfBKw4jx3Wh0QdOLzXI1Gqy6fb6MV87wpYBf9VCRN1el5oC/IW2XTwMCAbTHgrP7/rK/rp+zsQ/RB8hfSC5Uffkyn0rPnrUIh1VN/vYuO7q+TEkhY+eCxY8MV/30XT3VGiU8C8SjqQNCJz3M1Gq2qruikVQu9U4wXziyiw3trI3q5H6rNnDHyyNGT9NmXM6Sx4uNP0ignt8iRz2s3b47Qtm0naOpHXs9Y9iRijyIrS3Vlp5RkhmPDcVYsfoazoojT7LauLbeiSlfV4QhRh4mpvS14SlYk6cbVqdO2/WKfm7Tc4wP9w/KirZ/nyi5S2k/eDB0c8IoDX3EALKtvWO2q78CBcvr2u0XShe2f/0qhnbvz6dHj0RgNLIidONRA0QpaxjF1+M0lBwnVKuzRVZBXS/yQgxK/BOw632NVLwSd+D1Xo9mywYHojGtVV2to4WIxBlyurTHgrP6/PHmylmbNyaIJv3+H/vy3KbRx8w5qv9MRza4K61jsaXzicAMVWxDDIKwDY+OoEog3UQeCTlRPn7g9WLTindbV36AVmeukrIz/+84kWrRkM5071+qa57UzZ5pp3oL1kkfRH/80UfIwutl8y9HnBT878sv9gSjduzgJhmNEHYbCD/MdbY8jEnNkuJWX7vjfQrGnBb+VcnPp6OiUbhLf/fu/6PU3/iQFuDpx4rprLgxaN9A8PWz12r3SdDGeNsbTx3gaWbQKu+ptXz/6tpK9rIwyZZm1i9PnZS0+K6Xqi9Rt3qwN2C84Aa1z1K3rIOgE728nbPHiuTVvp5zQFjM2PH78JOYx4Kz+H29qHKLNW4/Rh9O+ll5cfPP9bCouKTWDB/uAQMQE4knUgaAT8ekQlQr0XpBG5eAOOMjg4CAdOHiEPkrxjgGffTmbdu0pdfXzGo+T7FnEHkb8vPbZlz/Q0WOnHEAbJogEbBN1njwapKP76ihzQamUOai+xtx8Rfag4DpYmOFpTqEWjqWzKeuStB/Ht+F63FiKSkrp2xlzpH+if01NlQJa3Wh45vqLg/pGmqeN8fQxnkbG08l25Owmnl5mZ2HvLXFqlbwc6bxO0Wb28pEDcseDuCi2Ld6WBwaInPyn/p/R+w5Bx94zs7L8Di2ZVSz9X5ud5vmwu4/k68/xgw32GuzA2ssvV9LP85wXA07vf8rs+pLiRvp53jr6wx//Sm8nTaJ16zdTyy1kUXTgKRm3Jjl5TGPbQv3fgqBj7ynK0zyXp5+mhT8WStNhzByNM+rt3lol3Vcf2F1jpgpX73Ot+jotXrqKJvz+bUr66xRaunwHXbrYGfI5Hur/Qqy3KzvXSgsXbyb2POKxbcWqddTQ0OjqvosX420TddSpy9gVKtzy4gUFPHT3PoksMna4NsRi+1u326Sbvz/9ebLksjf357VUVHwj7i4MWhcmnkbG08kmf/CpJGT9OGs+8XQzs6Xt1iPJS4s/xdJ2+1HAuSWLOlZO+2KBSK6XP1mgRAGBcAmEevMLQSdcsuFtz6m8xf/npXPNzTMX45lwfbebIwt8G14rYrN1d/cD2p6z2xUx4LTGpkjWtTS/oO07TtG0j73xFL78+kc6fqLIdEd0tD+RXpZduWB9EEvTRmFHEDBBIJT/Kwg6JsCGsUvf0yHFuMZjkpmyf2eNoh6zLz3MHDtW+/T2PqU9eQfoX1M/k55ZUr+ZT/n7LoyJ5zX+3921+wx9+sUsqe3TP/maDh4+RkPD5qZs81TvomONdKH0dqy60/XHtU3UUadF3bcz/KDHPQ/7FRcIvtB0d/W5HrpeA/gmj2/22LVt2sff0/YdJ6n55vMxc3FQD+7HT9TQzJ9W0m//62366z+SadOWHOrovKuHL2A9Z80SH8DELFpG6Q0P7rY2GLLsMca2sPcaCgiESyAUUQeCTrhUw9+eA9WK15RlP58OvxIiyphToqin4XrX/9/embhFbXV//A/7ve9b69Ldpa1drNXWbra2drO1Wqt1xw1FUURUFEVQQUEFRJBNQPZ9XxQ3QNkXERT0/J4TzJjJZGaSmWQmmfnmeeZJZuYmufnk3nOSc889x6PjWGGngpsltH6jdWPAyfWSt9/zC+5QyI5j9N78z+ideZ9S+KEoamu/pfpWPrhnPyDBCQKwgIBVCbjrTzDoGH9nH9wbttNHrOM8iaUWFVZkdxx+DwzUpbyimraF7BVmF3yyeDmFHzxHVVX9Qfu+VlLSRaF7T9P7Hy2jWW+8T3v2HqT6Bm3vO8fDS2ztR4/sxYHa9lxdl2FGHc4+JX349dRie+P6bdtx9PSgcAXFl/+1td8WHurenvsJvTtvEYXsOE438juCVjAoKfiW5glh2tlX3/4uGLz+WruJcvMK3d4m+Wi4NK7S2OOntnYlbae8XV/V7fbYWgo87BqhkoK7xN5rPC0RCwhoJeDOqAODjlainpe/GFdnkx21lZ7JiuqyVzHfeHQz0Jbu7oeCEZ5jwLFRfv3GA2T1GHBKusnb3+LP5tJPv2wQ9NqPP/9FKWkZ9Py5csB+sY3kZd6ytT9Rd4n/YQ0CViPgqg/BoOO7u8mzKUR54qmnRGtTr+0YcdG+i4/pK0r9A4MUdzaRlnz5gyCz16zdTVeuVOB9rcN+GuWFC0X0+59bBUbfLP+VLiZdobEx15kz5Y4gIeuyfHVbA+o8hhl1REr88MoGHm+Wu7cHqKN9wJtDmGrfqakpSkm9RvwQx145P/68nvjhzpVyw3/TQiMru4U2bY6gOW99SAsWLqWoYzF0957ySGVzfY9NwbCy4u/S5WbeHbv/uQwHTsYCAmYj4MqoA4OO7+9WY+1DetQ16tWJeSqXnimqvaqMTjvn5BbQX39vFvSaEAMuOpUCMQac3vq4uOgB7QqNofkfLqU33l5Ie8MiqLFJOdYSTyUWX754fTVZ+9R2nW43DgMCXhNw1pdg0PEareYDtDb2krfJPDgBSW2lebP+aYZCREXFZfTvph2CXvv8i5/ocORFqqsbwTubzJgj78uVFT0Utj+ePvr0W3pt1lwK2RVGVdXKs3aGh8bt9FrqxUZPblXQ72O4USfoCUsANDQ0U2jYIZr91gfCw9vuPaeIH+bkHQHf7a2+Sjx4WlrMqQz69vtpw9jvf66njOs5EtrTm0V5d4SYOrxWWnhk4cKZWjpzrIKclVHaD7+BgC8JODPqwKDjy7uAcykRuHP3Hh05epKmY8B9RMEUA05JN3n7W0JCAf32+7RhbPmK3yn5UhpNTLyKJfh0YkrQVedP1VDW1TYaHhxXui34DQQsQUCpv8CgY4lbF9CVfPiwh2JOxdMni7+hGbPn0roNYZSeXof3NTeGHKX+zL9dulRGf67ZKRjGvvz6JyHr5dDwsF0b4tiCMZFllHFFeUDDrjC+KBKAUUcRi34/jo+P08XkFPr2+9+Exvzrqi2UmFgIweChYFASGDdu3KJtIVH09txP6b35i+hgxDFqv6U+U5p+dxtHAgFjCCgZdWDQMYY1jqqOQEZmDv26Sh4D7gV0m066razsIe3bH0cLP/maXp8zn3buOUCcXQULCAQSAfkzHQw6gXR3rXctN/Jv0pp1W4T3tWXf/EbHjqdQc/MT6DWd9FpNzSAdOpxIny2ZnsLGWTBLywJvqp6/Wj6MOgaRZxezHbvCaMasubTw068p7EAcVVT0QDDoJBjkDwLi9zNnsmnFyukXjZW/rqG0q5n0gtOomXBpa+qllAuNQhrJExFldD2tlR6PvhqRNWGVUSU/EZAbdWDQ8dONCPLTckDf8IijQoBfjgG3PeQYYsAZrNNYt11MLqFVq6eDTXOWFc62Mjrq3fS/IG/KuHyTEBCf3XgNg45JbkqQVeP+/U4hlMMHH30hzKT4d/MhyspqxvuawbotJaWK1q4LFYJNL176vZAdk7NkYvGcAIw6nrNz2JNdyc4lJBG7lnGsnD//2kHJyaUQDAYLBulDgbhdWHiPdu4+QfPe/1xICx92IJKaW9oc7pm/flAKdinGSeA06FhAQEpAatSBQUdKBttGExBiwKVl2GLA/YQYcH7T6VWVfRR+8DxxtpX/znhHyL7CWViwgIBVCYjPbDDoWPUOWrfe17PzaNXq6UD1336/mmJirtGt9km/yXexLwTbuqF+lI5EXaIlX64U3p3X/7udCm+WWLdh+bHmMOroAJ9dx7Zs2yM0RnYpOxiRQOxiFmwd06zXey4hn37+daNwf77/8Q+KPZ1OLY3qU6PLm8hg/xOqKH5Aj0c886rpejBiFxBMNOaI66iwYpqaMqd3kZwFvvuGgGjUgUHHN7xxFqKGxmYhYO+ctz9EDDg/DEy406dXUiqJs6/wANKSZSso5mQS3czzfOCCUxiX3bxH/X3eJbZA3wEBLQS4ncOgo4UYynpD4NbtO3To8DF6b8Fn9NZ7n9C2kKOUl3cL72sm0XHXMupp/b/76bVZ8+iTz76ho1HnKS+riZ4+nfL4tvMgOuu3YFj8btQpzOkg/jzz4ob540b19vZR7Jnz9NnS5fTf19+ltf+EUmpqNQSDwYKhumKUMtMeUEnhgGbWpSXdtGNTis2gErLxAtXWaYuwfrut37b/zg3Z1N83prn5JZ+rtx1DNOTI1w01nhudNFcIO5ieABt1YNAx/W0SKjg+PkktDT1Ctr0Bi70gcwy4pEup9N0PvwvGgl9/34wYcAbrNH6pvdX2nC4n3KL0K/c067W6umEK3Z5m0ylb112i4pJyTZ2lr2eMDuzItx2jox0u8JoAorDHBGDQ8Ridz3esq+oWwgQ86rbW1E8OwcChGFb+ulbQaytWrqMzcdmaZa07Qzv+d0xyk5Z8h9KSOgQdp4VPS8sEHdp/1aaTtq69StnZBZra/OSz57b9+R2rprxT0/5WLOxXo87Zk9U24KejtD2E+As2u4T9s2F6bvvSZT9TZFQyNTY8hnDwwYNvebF9Ktf0y9oegBvrJ2ztTTSizJrzEX2z/FdKvHiZHj92b6CJPlhid4wb129pboqhm/PsjiHWRbouzEWgZ81gA3gHNupgsQaB+OgqW/8+ur/YEpWurqmjnbv304zZ817GgIun8vJH0Gs+0Gv8oBu5t9TWZmKP1mrmvmeTvU55b+4yWvT5dxRz+iw96ul12wYvyQYa+DsWEAABEBAJ8LOu+IzKA5pPxp6Jf5l23dTcSmEHDtOb734khGLgkAwcmkGLcQFlHQ01apmcPPzqHf9YeIVm7vu3F9raHLe9Lz5fT+8vXCrEP+I4SO6W1AuNdvsnxta628Xy//vNqMNBYkUBIa6HTJqas6urm6JPnqGPPv2KXp+zgNZvPEAZGQ2aG6jajoByykKEjThiW+H1vq35mu/Bzg25tmPwdkVlLx0IP0cfL/qO/jfzPdq+Yy9VVtU47dipF5ts+3MdWht7nJZ19gcHRZZeh9J2ZekDZ7vjdxAAAZMSGOh/4tC3uztHTFnb4eEROp+QTF9+Mz2P/Y/VIYgB5yMjjlTHX7/a6dBmOm5pyyIWE1ljOwbrtdrqETp69Ap9+fWvwsj03/9spfyCIqftMD/rtm1/1kelhfeclsUfIAACwUVgcvI5hazLspMRNRVdpoQwMTFBly6nEYda4Kmpv/y2iTgEg1TmYlv5HUtPLkX5fXbthfVKY/24pvsQc+SVXuP9S24OCHGPvl2+Wri3HA+J4yI5W0oL7N8ZC3ICf7Dcb0ad589f0MFdr6xw8SeqnN0Xv/2ek1dAq9duEhrPV9+uougTadTa8lRTo9SzkwT7sXjKldQAEn9Su2GNXdwP7S4WPpcTb9vdy8tXymn1mp3C/V66bAXFn7tIg4NDdu2PY91cjKujkH+y6GbuHbv/1H7hLFfS61Dabmt2P7qq9nwoBwIg4DsCuze+MhzzNj8Qm2kpK6+izdumY7Es+vx7OhiRSDXV2qezBrs+0uv6+UFXqgPiouvt9JKa87Bei9xXRuyxkxBrn7UlM7ORNm46SDPfeJ8+/ORLOn4iljo7ux2aZFrS9IBFZmqrw3/4AQRAILgJJMXX2cmpsceexZQ0imJtXQPtCg2nWW8uoA8+Xkah+2KJQy6okZ8oo7+R5/btFxS2vcDWZqIPVWq+F82NTyk6oop2/JNN11LsPaw4DtLW7VFCXCSOjxQReZxudzi+k12MqxXqcPZEFbU19xnV/ExzXL8ZdZjAo65RYtBXEhpME8Tozt17FBl1ghZ8uETImrRlayRl57RqbowQEvoLifbWSeL5mTwqmXS2jRpqnxhyX+pqhygi4gItXvqjYODZuGWXQ4yCqSnPX9Q4bbn0IV6+ffwgor6bRkKiIiCgkQDH0WG9dvJwGTXWPtK4tzHFOU1obFwCcdrQ/8x4R4gBl5JaZYj8hO7Trvt4wOLIvjI6f7rJsHvS3vaMok9epW+W/ynotT/XbKTs3Hy7BhcswSTtLhpfQAAE3BLguDSpFxsFvXavY9BteV8UGB0dpYQLl+jr734RZNqq1dvpYlKxYTIUuk2bbqsqH6HoQ1XEAxUtzc88vi9sIHLFPjYuizhOEntm/fzb35R+LcsXzc+U5/CrUcdMRDIyc+i3Vf8IjeL7FWvodGwm3dboAu2q0eE/bcLALLzS0mro73/2CsGwP1vyHZ2KPUc9vd5bezltOWe5kht02KqMBQRAAAT0IFBYVErrN07HgON0oZFRl4jTh5pFvqIe/tGLOTlttGVbpBBrYv4HnwsDWXfu3tejyeEYIAACIGAogfKKatoWslcYoPhk8XIKP3iOqqr6odf8MH3YTDq8sOAu7dgZTXPf/5zeeu9j2h9+hJpbPM8IaWgjNujgQW3UaWu/ReGHouideZ/Su/MWUciO43QjvwOCIcgFg5KQamx8TFHHLtMXX02PCPy9fhsVFHoXBJWncnGWKw6KXF50nzjOFBYQAAEQ8IZAV/dDIQbcx4u+phmz5wsx4DhNqJJcw2/+MaqYhXvH7Rd0+nQmLV8xnRWGB7Z4gAsLCIAACJiJQP/AIMWdTaQly1YIg+9r1u6mK1e0B981i+xFPYzVvWfP3aCVv/4rtJUVK/+kyynp9OxZ4Kc1DzqjztTUFKWkXqMff/5LuNk//bKB4s/m4oEXhhzVbSAzo5HWbwyn1+fMp4WfLhNiFHR1IQW5mR4AUBcQCDYCuXmF9JcYA+67VRQdnUotzROq5RoeMo19yDQ7Xx7Q4oEtHuDiga7wiKPU1qY9u2Ow9TtcLwiAgHEEiorL6N/N07Eul3zxEx2OvEh1dSPQa3hnU9UGiks6KXTvaXp/4Zc0680PaM/eg1Tf0GRcg/XzkYPGqNPY2EKhYYfojbc/pAUfLqXde05RcdEDVY3C7A9jqJ+xD+NFBf2Ufvku5WR0U2XpK2XS1vpUCJ7NQbR5LicH1ebg2lhAAARAwBcE7t67T0eOnqQFC5fSnLcX0uYthykruwV6DQ+8bttAVdkIZaV3Ch/elj5H8EDXjz+vfznw9RelXs2k5889jyPni76Ac4AACAQGgYcPeyjmVDx9svgbmjF7Lv2zIYzS0+vsZJRUXmHb2HcgK/EV9Vpm2gPidzdp3S9cLKLfVm0V9Nq33/9GF5Ku0JMnTwKj07y8ioA26oyPj9PF5BT67offhZv466otlJhYaHeTpTcc2xAM8jZw9mSjQ9ybmsrHDm2Ig2nzC9Ub7ywUgmzzixYH3cYCAiAAAnoTEGLA/fEqBtyp0xnEU2nk8gvfodOU2gBny9q5Psem23ibf5OXLSq6T7tDY2j+h1/QG28vpH37D1NjU4vezRnHAwEQAAG6kX+T/l4//dK97Jvf6OixK9TcbExCFLmsw3fr60q5XuOYpUp6raL8Ee3fH08ffTptNAzZGUZV1XUB0QMD0qhTXVNPO3aF0YxZc+mjRd9Q2IE4Ki9/5PDAgk5s/U5s5D1kYSAPZMzfOSX6rbbniu2Jg2vzC9byFWsEQ+Jvf6xHjIKAEJW4CBDwLwGeCsNTYt6dv4jembuItocco/wbtxXlkJFyEce2tt4syu9T1Gus2/g/Z/c3IaGQfvltk6DXlv+4ipIvpdLEhLnSGvu3h+LsIAACWgncv99JR4+fog8++oJmv/UBbdx8iLKymp3KIWfyCb9bWy95e/881WuXLpXRn3/tEPTal1//ROcSkmh4ZERrMzZN+YAx6gwPjwg3Y9k3K4Wbs/qvHZScXArBADd0j9vAqahapw+/1RXuM8jwCxe/eL0zb5HwIsYvZO3tt03T+VEREAABcxPgKS8paRn00y9iDLj1FB+f47FM8/bBCftb/8H5Wsp9p3qN/3N3j8tKu2lv2Bla+MnXNPONBbRzzwGqrWswd0dC7UAABExF4Hp2Hv3x1wbhfe3b71dTTMw1utU+6Vb+uJNP+N/6OsqTe+itXqupGaSDEYm06PPvhTa5edtuKiuvMlWfUVMZyxt1Sssqacu23cJN+GzJD3QwIoH45njSKLBPcAoDZ/c9/mSD04ff2uoxTW0sPj6XVqycni7BL2gco+DFixdq+ijKgAAIBBmBhsZm2hsWIUx5WbDwC2EKDE+FcSar8Dt0l9o2wHF0lDxQ+Tf+T+1xuFxScgmtWh0iPH999e3PlHDhEj1+/DjIeisuFwRAQA2BW7fv0KHDx+i9BZ/R2+99Qtu2R1FenuO0T0MNEakAACAASURBVC0yCGWh+7gN6KnXUlOraM26PfSfGe/Q4qXfU2xcAvX3D6hp4n4vY0mjTl9fP8WeOU+fLV1O/339XVr7TyilplZrehiBIIAgcNcGMpyMaEbtL/e4rfGL2a49J2neB9OBTRGjwO8yEBUAAVMQeDI+TkmXUmn5iukYcL/9vpkSEgo8ljXu5Bv+D04dWFE67NSow/950i6qqvop/OA5+mTx9DPZtpBQqqisMUW/QiVAAAT8R4AHL9OuZtLKX9cKxt8VK9fRmbhsj+SMJ7IJ+wSHnnOm1zhenDwRgNo20VA/SpFHkunzL6dnAK3fGEI3i0r915lUnNlSRp3CmyW0fuN2QTAsXfYzRUYlU2ODY9BatTcM5YKjs3tzn89E19s9AO/emEcFub26KKTz5wvol99fxihYgRgFKuQVioBAwBGorqmjnbv304zZ8+ijT7+mffsRA84bmY193et1pXhxSgElPWF55UoFrVk77T29ZNkKij97gQYHhwKu3+KCQAAEnBNoam6lfQcO05vvfkTz3v+cdu4+QYWF93R5dvZELmEf93rB6oyM1Gvp1+qELGyvzZpHH3/2NZ08FU/dDx857wB++sf0Rp2urm6KPnmGPvr0K3p9znxav/EAZWQ0QDAgVo7P2gAH4EpLvkPX0ztJTSwdrYJRjFHw4cdf0cw35iNGgZ+EIU4LAr4iwDHgzickkxgD7s+/QigpqcRnMk2rjEL5wHsgZl3G3qj8MUKv1dUNU8Thi7R46Y/CQNy/m3dScWm5r7oYzgMCIOBjAk+fPqVLl9Po+x//EPo8D1qeS8iHXsP7ms/agKjXOMaOq8D/nj7TtDSP07HjKbTsm2mP6jXrtlDejUIf9zTnpzOtUScnt4DWrNssCIavvl1F0SfSqLXlqc8ahqc3HPsF3sOvL+8pxyj4/c9pbzTEKHAuuPAPCFiRQFl5JW3ZvkfQaxyQL/xQAtVUD0Cv4aE3oNvA1as19Pf6ffS/me/Ros+/o1Ox5+hRT68VuzDqDAIgICNQW9tAu0IP0Kw3F9AHHy+j0H2xVFrSHdAyzZfvBTiXOd8rOUvbxi2HhKxtnL0t6lgMcTY3fy6mMurcuXuPjhw9SfM/XEJvvLOQNm89TNk5rRAMPnjgbawbp6uX7lLs0VpKvdhBdTXaAgFD6OgrdKoq+2wxCjhY17aQvYhR4E9JiXODgIcEhBhwcQn0+Rc/CIH31q7bQxyIDzJTX5mpxLO9dYoyU+9T3PF6upJ4myrLRsDdB88TSveCf2tqHKOjx67QF1//Ihg2163fRvkFRR72LOwGAiDgLwKjo6NCYPSvv5vuy6tWb6eLScWQrz6Qr22tU5R1tVN4X+MpR0Z4pDiT4fjd8bmFs7adPJlO3y5fLei1Vas30PWsPL90TcONOpyZyt2SkZlDv66azgz0/Yo1dDo2k27fegHh4APhwB1UaR4iZ8JIOtuGe+Cje+BKUDrEKDh3gQYGBl12q/HxcUum43N5UfgTBExC4PCRE25rUlhUShs2TWcGWvLlSiHgHgfec9XX8Z/jA5OnTJwFuj8X04h7YAK9lpHRSBs2htOsN96nhZ8uo+MnYqmzs9ttv8q8nuu2DAqAAAhoJxB3NtHtTuUV1cIgIyep4cDoHCC9srIPMtVHMrWsaIj2bc23i/XJ72s8cFFX/QT3wUf3wdlzSW5uO23dHkVvvfsJzX1/MUVEHqfbHXfc9qsLF6+4LaOmgGFGHU5r+ePP01YrpSB5be23KDziKL0z71N6d94iCtlxnG7kd6BB+rhB5mR2OwgHabrTzNQHuCdu7gl7OZUUDhCvnXV0PX7nGAWHI2UxCkqUYxRcTE4RLMZsMMUCAiCgH4GtIaFC36qta3A4aFf3QzoRE0cfL/qaZsyeTxs27qdrGfWGygU9ZEugHaOsaNClXkvGgIVp2mRb61OKPnmVvv5uOg7H6rWbKDs336Fv8Q+ceeT/XntbiEelWAA/ggAIeETg0OHjgiepktG0f2CQ2ODDgc+5/635ezfxYGOg6Q2zX09by6RLvXbqSA3uiZv3NV/e49i4LPrhp7+FPvPzb2sp/VqWYt9saW0XyhyLPq34v5YfDTHq8JyyRZ9/KwR95VGY+HMXhTpNTU1RSloG/fjzX8IFrPxlA8WfzUUjVNEIk+Lb6OThasGV3F2jbKh9QudPNVH0wUrB2OCqfMi6LJdCgg08rvYP5v8a6yfoRESVHb8jYWVUW2381LX09Fq7GAUxp89SjyRGwRdfTQenZAV8LiFJi0xAWRAAAQUCnHL8l9/X0qw3FtCMWXNpd2i4rVRuXiGtfRkD7uvvfhdiwLU0T0B2utFt7CV6+mgtsX5zp0tamycp/kQDnTvVRKXFgy7Lnzlun7VQOlAhbvPULHfnxP/6eU6pYcnT7bdsnc6Ys+DDJRQZdYJ4Wr64/P3PFvrPa28Lz488VR8LCICA9wQ2b9tNr8+ZJ/SrH39ZbTtgUXEZcYBzfo5c8uVPwqBiXR2msLqTZVr0Gh9L7fvdhbhWu/cNUZdJ14V5+mTndXeN+F+9biwsuEs7dkXTewsW01vvfkz7w48QG3LE5cDBKCER1Guy50rxfy1r3Y06PHr5ztyPhYB4LAj48/7CpRS67xC98faHtODDpbR7zykqLoIHiNpOwR1e2mnzs3tcPoxGH7I3NLB1V+lcDXXjdseVnkO6XVWBKQNyfq0tkxSxp8QpP6O9dsT6NDc9oaNHr9AXX03Pa/77n63CiIrY98Q1PxxjAQEQ8IwAZ2Fc8uUPQiBIsU+xAuZ+tWDhUnrj7YW0aUsEZWW3KMpasb9i/epBSD7tl7+74nP+dLOdvHUVHydkXbZdWak+E7fd6VFXdcF/r+6jESx4+j1Pw1++Yo3wDPnrqn/oYtIVYVvsfzNmz6Udu8I869DYCwRAgMbGntBPv/xFs958365v7Q+PpE8Xf0vcx/75N4yuXq11KZuNkAFWPWZ2Rped7nE3YKHl/c7VO4eo13jasVXZBUO9z567QSt/3iD0txUr/6Qrqek0560P6P9mTNtLeNBw9dp/6fnz5x5JKF2NOpzWi7MbiEpXumbX2sTEQjQ2NyOXSo36WHiFnZC4dvmeS45i5xbXzowyNZWP7Y4rlpevy4uHXJ5Pqc6B/ps7izl7VfmaQWZmI/276SD9d+ZcmjF7etRF7IOsnLfv2OeRkMBOIBDMBBoammnugs8E7xyxP/H6tdlz6aNF39Kp0xwD7rnP+7uv5Yve5zsb02inf9wZdQ7uKrIrX14yrMi84/YLu3JyfSZ+54dvva8Jx9Pf2JOf30HbQ47RrDc/oNdlem3mmwvo9z/X0bNnz4JZROHaQUAzgQedXfTZkuU0c84Cu3e21+fMp7nvfy4ENG9uNjakQCDKS/lghbt3AS3vd3s25bnVbWnJd6DXPHjP9nVbLC7ppD2hp+it9z6h/82aa9cHWa9x9mNOsqF10c2ok3w5za5S0odfNvSs/XtPUDe0I3tLhc7IXjQ8PUpLA4qPbrB15NBNN6iy1LX7Y1RYma08T8FyFXRafMB1tVZb18y0B8QCig0ege4CuHuje+Gq9T6r5eyqHEdh51ge0v4nbrOg+O2PdfT06VOtcgLlQSAoCRQUFgujlWIfkq8XL12pSZa76rtW/E/UTVH7y6m0yPWUKPn1yR9+S90MHsREVtv02q4Nrqdth20rsJV1ptvqa/HCIr8nZv6+4MNl9J/X3nHQbTPfWEA83fjRo56glFG4aBDQSqCuvpHenf+p00H4t977NKj1mugVeiCkkG7e0BYEWq7XstM7XbIUdSjrKXfvd/KBECXdBg9U/QcWjNSLX30zHUtO/mzJA/MffLSUOP6wlkUXow4HhpyukKPCFSvKkdIbGx+7bNxGgvPnseWdnOPdaK0PjyrycQpy1c2X5LL8cWdYSLnQ4fLhN/lcu6q6yq+RhQ3/pvU6rVCegyIrCVP5b1zO19fDafVen20/8iL2QXbv4wfgpctW0MOHeADWIihRNvgIXElJF/SaGMPD1o9eTisWv+fkuI8H42s54IvzyWU+G/S1njc3s1vQE2p1RVJ8KyXENrs1IOVmPnQpo09HYTqB1nvlz/JXUirp/xQMOmIffG32PJr/wWJqbmkLPkGFKwYBDQRuFBQ5NeaI/el/M+dSQkJwzqyQP98f2q09TTsPULBOU6vX1L7f8WC5/D1D+p2zYnG6c3/KapxbvVGpoOCOwyCF2AeF9Yx3aPZb71NpWaXqHu61UYeDRf535nvCyyK78bHr3uuz5xMrWY458L/X3xMiqnMFo45dDsrGJn/4Ze8ZMzX844cqFQXF0f3l1KEitTwbjnZuyFE8RnlJ4E3dYs+nHevdx2yoq9HmkaVHm1jy5c9CH5zuiwvo9Te4T4qf+fTaLO6X82jeB4upqblVtaBAQRAIJgKnz5wTlC0H+n+dPy/7EHvBcf9h79P/zHhXKLNlW6Sp5LkeckTNMXhEUPpA6YlRR815PC3DKV6l9RO3efS1tsb4YPae1hv7OT4U/7F6B82Ys4BmzuH+uEB43uQ+OXP2ApoxZz7NYL02c66g+zi4KxYQAAFHApeuXBV01kypTpvDgf+ndRoPvovG0x9+XBeUek1u1GG9YSaZLH+fFPUarznduZnqiro46jIpk527ogX9xe9rrNu4X77qmy/tKDOnp2apzWTslVEn6tg5ijxyUQjUeiImnU7HXqezZ/PowoWbdOlSGaWkVAnpXDl4ZP6N23TzputYMNKLDaRtjl3D1l7udLzm72a7vpyMborcV0Y8Z5OnimWnq483kHfd+aioWku12Xi4q09MZI3iC4MoYNlifqvdt3E2cnPb6WJSMZ1PKKC4uByKOZVBx6NTKfJIMoUfSqB9++NoV2gMhew4Tlu2RtLmreGUdwMPwI6PPvglmAlERsVT5JFEOnL0kpDFigO2cpbGhIQCSkouoZTUKkpPr6OsrGbKy7tFnNmA47i4kxmB+H/s0VqbHNQ6/coXPAryeom9cvZsukGHdhXT1Ut3g/I++YK1UeeoqxsW+h17DsTH5woxrKKj0ygy6hIdjEiksANxtHsP67VjxAZW1msXkzKDWYTh2kHAgcCx6HMUdezV+1rsmSzioK2JL9/XUlOrKSOjQQj2z+9rRUX3qay0OyjlZWLsq6D8eVmPTMegomyEzkTXE4eB4ODJHPLCWUIco+QyjuvaYKOGDz9Puntf43hym7ccpo1bwulUrPtMxl4ZdVhqcHiOgX6ie3e9v0A1EIwu09z0VEgDrvfUGTbksOeGHi/6LU3PiDu10SzUHp/njIrGDPnajAJR7XW5KldX/cTpNTMDLUYxV+cx4r9HD4keP3bQ+fgBBEDgJQGOuzo4SPTgfmDoNSPkiHjM2qox0iM9eEvzMwpEz06RE9bG9qXuLqLREaIXLyDGQAAElAhMTRENDRF1PjC2LwaCrOMEM3oYSvi9r7YanqGB0Cb8cQ1dnUTDQ0Rqk2F5bdSRCg5+UeQXRn9cuB7nlFpn+cWcp0k11k/47HrY8MOBsE5F1VJz8zPF86ZfvmszJsSfbFAsowcLLcfgh3HRE0lq1AnbXqDLw76WuviyLKct58j20ms+ElZGZjRk3b9HNDRINDkp7bHYBgEQcEfgyRhRT4919ZovZaKn52KZKcpR9oL0x9RVT+uO/fzXN3gwkQcVEfvfnRTD/yBgT2D8CVFvr//6bjDIzaL8Ppte4/fJpoanpnhnCwb2Vr7Gu3eI+nqJxsft+6yab7oadcQTCt47A0T8ImkVsNKHSvHhktdsYPHFNUinaPF5D+1RDs4lrRtvs2HBF/Vzdw6uvzTrFk/lKiroN0Xd3NXd2/85phB7drkLSu3teTzZv+cR0diY2DOxBgEQ8JQAj3LyiAlGOfXX63K9prenrCeyE/vof5/1YvqwG96mnsox7AcCUgLsATAyTMQeAXr1TxxnmmXs0TqbUYd1HIeqABu0M2dtgL1NR7z0NjXEqCMVGGPsvfPI/DeRM1LJHyzF72ywcHYTpL9z4Mhrl+95FDOHRybF84lr6bHFbfE/cW2mOAYcdZ0fxvFA7t/2zi+d7GILrxypJMI2COhH4AmPcgaJ9443ek3UW+7WkftK7fQfdIh/dYi7++WP/3mQcGAAXjn6STEcCQTsCbBnAHsIsKeAP/q4L8/JXjSZqfcN9azn5AHiuxqvMb048NuV1jbMfa2/j2hiwr4vevrNcKOOWDF+weTpH2aNUSDvfNKOWK8ii5E0IrknwZA51s7hvSU2AXAuRjntOQshsW4ZKfcDXvBq7SDBXB5eOaK0wRoEfENA8N4J4FFOqb7xRK+plcfFBQN0YMdNQbclxQdnini1rIKtHGLA+UaW4SwgIBLguFTsMcCeA4Eob8qLh2jX+lcZe40KmcCzFXZvzBX0Wny0OcJlBOL9tOI1sbfp6Kj+MeB8ZtQRhQWveToIv4Ca6UYkn22zGUtEowmvo/aXq6rnrg3THVfc15ORRg7KxcYh/jiLqWMmZqiL/9uw6JXDL5dYQAAE/Edggkc5+/wvE/SUy9LsVqzbrqd3qtKHetYBxwqsNqXmfrJXzuAAvE39J81wZhCYJsAeBKzXAsl7RzoIz3qNv6uRS56U6bj1gji5jSf7Yp/A0n2+iAHnF6OOKCwF7x0TxSiQP8ByuriC3F5VnVEaT4YtwFXlo6r2Q6cNrE7rq/vpaRAtse9hDQIgYAyBQIpRkHy+3W6wAzEBoK+M1HHwNjVGJuGoIOAtAfbe4exy7GFgpAzwxbHlRp3sjC7LX5MvuOEcnrV90SvH2z6oZn+/GnWkFRRiFJggEntWeiexcSchtpmqK9QbZtgSe/poLfE0rszUB34VEAU5PcSufhfiWt3WQyx76kgNIrN3eNZhfSXohNR2w0TwypFKDmyDgHkJ8Cgnz5e28ihn0rl2Qa/FHq9zq098JQtxHnPrKi33R/Q2RQw488ox1AwEpASEZDj91kqGI5dJol7DtKjA0SXye+zP76K36bNn0p5j/LZpjDripQZyhhFOj+7JtCylhslzQFkYyY0xbIgK3XzDNrrqavqYlrJiHXiKWFXFKHEMIPE3rI0TivwyCK8cUTpgDQLWJCCMco4GZowCHtCoKBuBPjD5oIDZ9DS8cqwpy1BrEJAS4LgggeC9I5ePrc2TVFkKvSbngu+u3/f8HQPOdEYdqbAQI7EHQiOSuvtdiGvx6gFYnn6dvYNERmw0EuP68Dp00w3bf2IZcS3PuOWqLO8jPTZPN6utUpcVTDwf1q6FgZSPHqntpH0J2yAAAuYg8JS9d/qJeH61tM9bcTv98l2bvjEyLoEV2aDOju2bvXKGh+Btag5JhFqAgH4E2COBs9Oxh4LVZZ/0HctZ0hqrXyPqr1875QRQg4NEvvbKUeq9pjbqiBUWYhSMEPH0Eys2RI6vIzW08LY318HzP6XHkxt1pJ46MUdqnJ5LnnHLVVmub/ShKrvzZqd7Ng+VUwleS7nvUep3b7iZfV+9U9uJ/QdrEAABcxJ4bPFRTqke4u2mhqdO9Y3Z5S/qZ9zzFbxNzSl/UCsQMIIAJ8NhjwWrylS5XtNrhoVVeaDeym25p2c68ZMRfcjTY1rCqCO9OMF7x8AYBTzaeCCkkPRM38qZrKRCYn9IoVfCrrign3ZKsm3JjSs8zYuvgz+tLZMuzyXNuOWu7IX4Vrvr8GRkVp5K0JNjBJqAEYNo8RQNLCAAAsFHQIxRYDXvHale4+2yoiGX+ibQZDeuR/lhl7kgBlzwyTFcMQhICbDnAnswsCeDlWRl5L5Su3cdGHWsdf+MbGvclocGzZuZ0XJGHVFgiJHYu3WMxM4GBulDqtQDRk0j4elMfAx23Wtush+xzEy9bzu2HhlEOIZB5tUHVJinLjuXmvq7K9NYN04nD1fTvq355GnQTDljDi7t7rzi/5VlIxQRWkI71+dQWtId1fuJ+5tp7YvUdmJfwRoEQMA6BB4/ts4oJ+syHqRgvZmRct/SMtlM+sGqdUEMOOvIGdQUBHxJgL13OI6WFWRbccEAHdhxU9BrSfFtlqizFbhauY69PUSc0Mnsi2WNOlKwPMqpR4YRfkD11KiTmnzHbt/wHTfp5o0+TcKArcFs9ODpVeyN4+sOkJrUQVxvZsCGKSPOLzfqcAR6teeJ2FNix9iK1nPRK0fafrENAiAAAnICkxYd5VQrz1HOGi84au4TYsDJey++gwAIKBHgLHfs6WA17x01chBlAken8b0UYsBZLONwQBh1RMEhZhjxNBJ7TeVjYdqVaNiRT2ty1mGLCvrtjA3i/jyNq711yq3RguMQxETWOByDf2uofeJ2f2f10vI7T4sS6y2uteyvpSwH1+S08VoMOnz8sO0FdnW0ilHHX6ntxH6BNQiAgLUJCN47Fhnl1KILUNa6D8GIAWdtmYLag4C/CbDnA3tAQA+AgZnaQG8v0bgFvHKU+m9AGXWkFyjEKPAgEjsbdrROa5J7n4hGEV5XlA67FViH99p7oEj3jz5YSbdvvXB7DG87BMfhkZ6Xt709pt7785QvsY6cyl3v4+t9PA4Uxy6nWEAABEBADwIY5cTDr956SuvxRG9TxIDTo0fjGCAAAlNTRMPD1k2Go1WGorz59HhXF9HIMBEnZrLyErBGHelNETKMGBiJ3ZVRx503SWbaA5uhQjRYyNccj8cXQuD8qSZbXXx1Tq3XxVPkcjK6qa7aNx5MWutnptR20j6AbRAAgcAigFFO8z0YatUXVikvxIAbIOLBMiwgAAIgYBQBQa/1QrZbRTdYup53iAItM2PAGHWGBp5QTXknlRfdp7bmXpqackwlJERi98B7x12jLcjttRlDpAYZDuhbVTbi0iCTENusuK/0OHHH610ew139tPzPRiikpdWuUDgAHLxyjFLzOC4IBCeBkaEJaqx9REV5d6i5vodGRxzfqqc4RsHQ9PxvLbIeZbXL+WBjJnrlBGfvw1WDAAgYQWB8fJJaGnpsem14cNzhNOwxwZ4TnEUv2OQurtfYey7GgLO6V45DpyGigDDqVJY4erscDr1JeZm3lK5Z+E3vSOxK3jr8m7vOeSKiyq1RJ8akU43Y+MOxeNxdY6D+L6a2Y9dRLCAAAiCgJwElvXYgJN+lXsMop7EPg4Gqy6TXhRhwevZiHAsEQEBK4M6tAeL3M+nA9Z5NuXQ1uVlazG57YmI6GY5UTmEbuk5LG2Bv0/5+oqcTdk0r4L5Y3qhTUnDXTjhIBQVv37sz5PKmCd47OkVi56xVbMhJS75DRfnqMl8pGYPk15B81nwp9TjYsVhPDujM6dy1dDC9ynIgaZ42xrGH3E110+ucVklt57Lh408QAAHTElAy6IjyltfslepqwSgnHni16jvEgHPVo/AfCICAtwTYoCPVY/JtnmnhahH02ggRe1polW8oH5zMuruJRkeIgiUGnKWNOg+7Rih0U65LIXElscGVjLD778kYUY+PI7Gz8Ucu2KTfOeOTPANWdnqnkAmKjSmlRYOqhBsbPC4n3qb0K/eornpM1T6uhKC0jrztK4OKvE7Rh+w9ndpaJr2+Nvk5+Du7gHIgN3jl2HUZfAEBEDCAwPGDzoPns7yN3Fuk+qzj49PzxpXkmpl+Yx1yLLyCOHFAdcWoIXLcTNdrhrogBpzqboSCIAACXhKIPVrh8n0nfGeB6jMI3jv9ROyBYQZZ6qwOLc3PiBO7ROwuJs6U7KwcftfvPrK36QB75TjOVlfdvqxa0NJGnYaahy4FBD/8HtylXkiIN1GIxO7DGAXnTzuPq5OX9chBCOzemGe7bn4IdiUMyoqH6MAOe1dH5nIuppHa29ynW3d27Mh9pbY6+NOos29rvl09qnR+GYBXjtgrsAYBEPAFgZFhx0yELGPln4F+bTk3zT7KKc0CyTrOme7B794//CIGnC96Ms4BAiAgJSDXYUrfOYacloU9MNgTgz0yzKgbTkZW2+luxCw17j5xDLjHj7W0nsAra2mjDgePVBIK8t+8uW2+yjCSm9lNJw9XExsp+IGW03crGXR4NFN6fVzemSC7fes57d1yw668dN+zMY1O93V2TPF3jqUTvrNIMBhdTb7r8XHE43m6lqY5ZwOXHunf2SsnEFLbedPusS8IgIB/CDy4N+RUZkvlN3uqerqIo5x37xj3gKVFpsv1Gl9nbdVjv+kVLXW3SlnEgPO0t2A/EAABPQhI9ZezbQ6p4enCnhnsoWEW7x2eOSC/zsI8daE5rKJX/F1PwStngOhZEHrlKPUTSxt1HnaNOnQYeQfi73osgveOJBJ7alIHHQgppEO7i6mm0vXDZ2P9hGCg4fg5/PF2qpJ0RPNCXKvTB9+rl17FvVHiwr+5qzt3WJ4iFh/dILgQemplLsjpobMnGwX3euahpyDgaWWc6tybaWX8ctPfR8QvO1hAAARAwF8EJiYcHwSV5DdnEPF2sY1yvoxRwAMJrNNYtxX72FWcjfLidR4JK9NVR+ipb6TH8kdMN+n51WzD29TbXoL9QQAE9CDgbvoVy//Wxl49TiV4bHCcMJaRN2/0CXqNj680WK5Gjnpa5vTRWpte44F7T4/jy/1YryXGNhMn8vH2fdWoej/ijMNB7pWj1FEsbdThCzp/yt61TXwoFNeuMmApAVHzW1uTvbdMlIsH0NSLHbYOLdaJ12zc8bSxsyEm62qn284mNf5Izy3dTrt0x209OK6PuE/U/nK35eXXxfERQjfbewzJyxj1neezciBlsf7yoNOBnNpOTVtGGRAAAfMRSIx99SAoyi7pOi2pSfdKd7Q7eggZJZeVjsuyOiejW3WSAaVj+Po3X8V003pdiAGne/fAAUEABLwkwO9jUj0m3044XePlGRx3Z++dgzsL7c5rVOxNZ3L6+tUHxMllnP1vtt/lei0/u8cUdRdiwLFXzjPH+4xfpglY3qjzqNu5t87l8+qDJGtpEPIIEC/QFwAAFfBJREFU7rs25Cg2+LQkZYOOKMg44LGRnXl/iL0gE88rXV90k1mLDUjS8qGbbmiuM2fGkh6Dt428bvHYHDMoItQx4GjssVohtR28crS0epQFARDwFYGxsWd09ECxg9xk2Xkiooz6esZ0r4pSLB9RlmKtPE3N6JhuWrnDK0f3boEDggAI6EjgxCH7eJziu4FReo2rLp5DXOsde1OrnDZ7ebleu3b5nk/e2ZxxQQw49R3Q8kYdvlQ27GSnt9Ox8BJiAwu7+Lnz0MlKa6NzJ6upoth1Cj0llH29YxQTWW4TFDeu3xam7fD0HWmMAo52LgoRpTW7uDtrxHr8Hn+iweX5uU752Y6BmKXnvtX+3Oa2yOVjjtRorjMfQ+o1dCHe+ZQx6bm93XaVLr73Efz2lNo2fgMBEDAHgdGRp8S6hTNhhW7OpaiwYspMaaGnE1NOK8h678KZWmL95slyMe6Vh1BmaquQPWJggIjnrXsrjwNxfyNiumnlJHrlcCBsLCAAAiBgZgIjQxOCHhPfidTotUvn6oX3Ok/1Wkpio+1diHXc5CTR0CDR/fvQa0r6RqrX1IQYUTqGt791PiAaGkLGYa19OSCMOlovmgWDKFB43Vzfo/UQ9HRikspu3qe2Zvv5nxyjYGSEqL1l3O4c0vNJt6vKRwx7WFYKPik9904nHkbyzsjeOuyOx8aYVi9ShrORxdV81lttz4VpaRxbgT8cJ0deFy3fXRl12NsKCwiAAAgECgG5a7u7gQ1n111ScI+a6x0zkHBWCTFGgRY5HOhl9YjpppURYsA5a734HQRAIJAItDT02L1LeWrYYX2o9K43NkbEniBaZXCgl+f3L54OrSbuqp4senqInujviBxIXcLltQSlUUcerKu04J5LSJ78KZ+iJTWmSLeNzvAhjScjPS9ve2s00bMjczyFyH1ldsKb63jdwylq/PLR3GAf+0h6/fDU8aRVYx8QAAGzEki58Go0UpDvmbcMqSrPZx+E945fXgLEGHA8eIQFBEAABAKdQE15l917Ac+wMGKZYu+dISL2ENHz3QbHcs9T8DaFV44uzToojTpJZ+tsQoJd/4x4wZ+aekE7N2TbziM1KIjbHDyYpyZ52+k5mxR75TiLUs5BrtjTZvvfWbRrfQ5xKnMOXuztefXcn+MLiVyka1cp2+Xnt6W2kwTRkhvw+NjsfokFBEAABAKJgNRTZ/fGXOp64HnKc7VcMMrp/oFVrqe0fuf0vMjMqLZFohwIgEAgEehoHyDWZ+J7ARt5jF7YU4Q9RrTKapTXxoxjwI2PG303g+v4QWnU4VvcUPOQ6iq7DTHoiE1IGp9AFEjStR6xZeRTjDhtuJGChVPdOTMeeXNe+XVIObk7H3vl8NQApYXjH2VdbRPiURwIyafMlFalYvgNBEAABCxPoL66m2oru6ijvd+n1yLEKMAop66692E30eioT2+jT042+ew5VZY8EOIeNtY6TvPzSSVwEhAAAcsQ4AGKytIHDuEujL6AqSmiYdZrndqMFd68CwX6voEcA66mvNPvei1ojTqeCAOeUsUfDsysdnFm2OFI7/fvjinGKGhqeEqcJp29anj6lLNOztOnpMYPcTv2aK3TfZwdS83v8SdfBV6+ENei6zky0x4oXgtfk5JRh1PbcaAzfpnAAgIgAAIg4BmBgb4ngl7TK86Y4L3jZJSTdRN7qLIuaWud1FWHqNFhZi/DXjkD/SQEqPbsbpp7r7HHz4TsbeKzCq+vXW42d6VROxAAAcsRmBifpPaWPt0G7tmjpK/XPhmOqE9ij9UJeo1nRPDAt/g71tPGsGCIASd/1/eXXoNRR6WoenB3iHb/myMYHsK23SAO3qV2KSm46zKDiRCjYJCIDRUsBE4dqbEzcORmdisKiSNhjjFo+CGJH5r1FiZV5Y6p4xvrxnU7T1FBv901iw99cs8jpLZT2+pQDgRAAATcE4g7XmmTvYW5He53UFnCNsr5MkYBG3REuc5r9s7UW09Z9XiuvE1V4rZEMekUQWlbGBp4Yon6o5IgAALWIHD+VLVN3+jpof+cvXeGidjjhPWNfJaBq4F4q+onT+stxoAL9MyMt9uU31/1GijT0uNg1FFJi13/pA8hl883qNxTW7Gxx0TRhyrszpWW1KH48Cutj3Q7bHuBYnlPOybv19z8zK5OfL7SokFdz8OZsTjrlXgtoseRmNoOXjna2hJKgwAIgIArAvzQIcpbXkfsLnRV3OP/eJQz+Vyz3bmC3ajDMeAGB4l4UCdYFmdGHX88/AYLc1wnCAQbgaFB++zDIeuyDEEwMU6UfvmWnV6LPlip63uRN+9t/tg3GGPAseOG9DlK3C6+cdeQdufqoDDquKIj+Y9Tl4s3itcXzhgXbJcbgniuM8edT6VKjLV/SBb3Ydd2IzqzGMz48N4Sl6nJvT03uy/W1Tyh3l6iJxjAk7RCbIIACICAfgTkRh1OHGDU0tbUSxzXjPVU5L4SamsJzulXweKVo9SOOKWw+JwiXff3IoetEi/8BgIgoJ1Af9+YnZxhb1SjFqlei9hT7PMU4N6+b+m1f6DGgFPTbpzptW4fJKuQ1w9GHTkRF995lGnPxlyKiSwjnhtu5MLTvUaGJ4RTsGGDo4TLOx8bPqQPRry9e2Me3czrcygr39es39krhwOTseu+0lJedF8YTeYRZZ4viwUEQAAEQMBzAlK9ZkQmSGnNOB7dQP8Tmpx8LmS96OtTjlFgVv3kab0QA+5VK6gotvd6vpl359Wf2AIBEAABHQgU5nTQjvXZtD8kn+51DOpwRNeHYN3Jem1iYjpbIXuseKovrLJfoMeAc33H7f81i16DUcf+vpj6m1KGkZrKx8KczhOHqyjpbJupUpVXlY9Q+uW7Qv3Y1d5VADEOQOYutR0b0qRGrGPhJaa+X6gcCIAACICAawIvXhCNjhDx/HurPMyqrSdiwCnf+/t3BmlwYJyePXUyeqO8G34FARAAAcsQ4OyF7MGiVl9YpVwwe5u6anxm0Gsw6ri6Qyb+b5y9d3r1FxZsJOJsU1VlI14JInnwMDbGcKwfjpsjCi55EC0OPs2xihJP19DoyFMH+pylRWrU2bUhx6GMmh94ZJqzj4nH4qjl7BmFBQRAAARAwH8ExFFOzpYh6gmrreUx4DgI8NWkJoo9WkEjQ9Pet0YQbqh+SGdPVNn02snDZYSU4UaQxjFBAARAQD0BjpvW309kZe8djgE3MPAqBtzExKSg13hqm5Ex0aDX1LczLgmjjjZeqkqLD3Hc2I12Z+eo4iPDRJ0vI7F7+gDcWD9Bp6JeZSfZuT7H4+wkGSn3bQ+WouFEui4pfOTglcNu+ZxVTCwXE1nuwHpq6oWQRUwsk5Pe7lDG3Q8piY22c4jHEdd4AHZHD/+DAAiAgPEEBO8di41y8hRppRhw8dGvDC2sa8bHJ3UHyFOYRD0mX1cU39f9fDggCIAACICAdgKPR4nY08XTdzVf7+fMK+dKYoOdzvG1XuPBeSyOBGDUcWTi9S/ShzgOPMnGCF8sPH2JpzF50unPRNfbdVDxwbAwr1fT8VqantGBkELFY4nH5NFE+cJxFsT/eb1v6w15EeH7xPgklRTco+b6R4r/u/qR95GeQ2kbqVVdEcR/IAACIOBbAk+fTo8QmnGUU/TKcZWyVa5nHnaN6AqQPVh3rs92qdv0PqeuF4CDgQAIgECQEWDvncEBIo635sk7m5H7qIkBJyY9EPWb3jqGY8qKx3a2rqvqDrJW4/5yYdRxz0hzCXkD5IcuXy6C947GGAXyOovfxbTiagUIT90S93W1lvPgAGPHD5bY9k04XSMv4vV3dn93VSf+r6a80+vz4AAgAAIgAAL6EzBLjAI1MeDEq485/GqqLz8I673wiKU7vZaZ0qr3aXE8EAABEAABHQg8fmwO7x0tMeCSztbZ9I6/9Bp7C2GxJwCjjj0PXb6xd474kMXbRk/BclXpCfbeUZFhRKyvfH0svEKTFdlTow5fA3vh8AMqf4xw5VNj1IFLn6vWhP9AAARAwP8ExFFOnuevdsDB23LyGHBaKLBeuXH9NnH6W70XuRu8XIfz9/On9B8k0fs6cDwQAAEQCGYCnAxncNC33juitymfW+tipF7jYyvpMulv/E6HxZ4AjDr2PHT5xkYcnoKVmdrqV4OO9GJsGUacRGKP2PPKS0baaZLi21Q9NItBtEZGJt12RD6+PxYOiCy9NqVtGHX8cWdwThAAARDwjICRo5wcsFmLV45nV+DdXmr0WgY8dbyDjL1BAARAwIcEOD4bx2nzdjDC2f6caIcT7ph1KS9yHZuV399g1HG8ezDqODIJ+F+EGAUciV0yyslZqeRGDldTr27ffkHZ6V1UVTpAHPhLuiTGujaepCU1SYv7bLu6rNPhGuXXfKu1z2f1wYlAAARAAAT0ISB47+g0yil65fBgiNkXNXqtub7H7JeB+oEACIAACMgIsAfN0CARe9Q4M9Co/Z0T6gwPEU1NyU5iwq/sHCF/P5N/v5l7x4Q192+VYNTxL3+/nl2eYYTTmXMq8hOHq+hayn2nAoS9cg7ufBUMOT/rtt11jI09o6MHXk1Bk3ZEzgjm6xhDYuU4bo+rKVgpFxrFoliDAAiAAAhYlMDYGBHHB1D7sMvlOBDzQD8RD3pYaXGn104cKrXS5aCuIAACIAACCgQ89d4xu7epwqUKP1273OzUsHM8vISmJp872zVof4dRJ2hvvf2FP3uZYcRVjAIxiFbnvSG7jsYGHPky9vgZlRbcI05Nzpms2JhSW9klL+bz75xli+MLSA1NvJ2V1ubzuuCEIAACIAACxhEQRzldZRh52E3EAZit4JXjjBTrtQtnHD1k+aHYV9k3ndUNv4MACIAACOhHgJPhDA259t7pYq+cYSJXmRn1q5FxR+KZHfL3tcTTNTQ6YrHRF+MQ2R0ZRh07HPjCBMY4EvvLUU5+GObAXezaLi59PWN2nSzagiOBt9v6id3WOYYOp87DAgIgAAIgELgEpKOcQgw4C3rluLs7XQ9GhAyO0GvuSOF/EAABELA+gXFOhtM77ZUqxIDr46Qz1r8u6RV0PxghTl/O060edsnifUgLYptg1EEjcEpAasiRF0p+mc6OvXTYOIIFBEAABEAABMxOwArxBMzOEPUDARAAARAwDwH2yLGyt6l5SFq7JjDqWPv+ofYgAAIgAAIgAAIgAAIgAAIgAAIgAAJBSgBGnSC98bhsEAABEAABEAABEAABEAABEAABEAABaxOAUcfa9w+1BwEQAAEQAAEQAAEQAAEQAAEQAAEQCFICMOoE6Y2XXzYHVjwRUWYLgMzZqu7cGpAX88t3zkx17mQ1VRTf98v5cVIQAAEQAAEQAAEQAAEQAAEQAAEQMCMBGHXMeFd8XCc26MhTxonfG2sf+bg29qdjg45YF1431/fYF8A3EAABEAABEAABEAABEAABEAABEAhSAjDqBOmNFy+bvXGkRhOl7YddI2JxzeuGmodUmNtBU5PPNe/LO6RcaLSrX2nBPY+Og51AAARAAARAAARAAARAAARAAARAINAIwKgTaHdU4/WcP1VjZzRRMupkprRqPOp08atJTbZjh27K9Wg6l9SLaPfGXOp64LmByaOLwE4gAAIgAAIgAAIgAAIgAAIgAAIgYFICMOqY9Mb4qlocO0fJkCP9jQ0/nix7NubaHdvTGD311d1UW9lFHe39nlQD+4AACIAACIAACIAACIAACIAACIBAQBKAUScgb6v6i7oYV2tneJEac8TtDA89dWIiXwVePhCST4+6R9VXDCVBAARAAARAAARAAARAAARAAARAAARcEoBRxyWewP+zuqzTrVHHm+DEV5ObKS2pidqaegMfJq4QBEAABEAABEAABEAABEAABEAABHxIAEYdH8I246kmJ5+TqylYJw6VmrHaqBMIgAAIgAAIgAAIgAAIgAAIgAAIBD0BGHWCvgkQDfQ/oQtnHKdhXbvcTFNTL0AIBEAABEAABEAABEAABEAABEAABEDAhARg1DHhTfFXlTizVE15J3HGqZHhCX9VA+cFARAAARAAARAAARAAARAAARAAARBQQQBGHRWQUAQEQAAEQAAEQAAEQAAEQAAEQAAEQAAEzEYARh2z3RHUBwRAAARAAARAAARAAARAAARAAARAAARUEIBRRwUkFAEBEAABEAABEAABEAABEAABEAABEAABsxGAUcdsdwT1AQEQAAEQAAEQAAEQAAEQAAEQAAEQAAEVBGDUUQEJRUAABEAABEAABEAABEAABEAABEAABEDAbARg1DHbHUF9QAAEQAAEQAAEQAAEQAAEQAAEQAAEQEAFARh1VEBCERAAARAAARAAARAAARAAARAAARAAARAwGwEYdcx2R1AfEAABEAABEAABEAABEAABEAABEAABEFBBAEYdFZBQBARAAARAAARAAARAAARAAARAAARAAATMRgBGHbPdEdQHBEAABEAABEAABEAABEAABEAABEAABFQQgFFHBSQUAQEQAAEQAAEQAAEQAAEQAAEQAAEQAAGzEYBRx2x3BPUBARAAARAAARAAARAAARAAARAAARAAARUEYNRRAQlFQAAEQAAEQAAEQAAEQAAEQAAEQAAEQMBsBGDUMdsdQX1AAARAAARAAARAAARAAARAAARAAARAQAUBGHVUQEIREAABEAABEAABEAABEAABEAABEAABEDAbARh1zHZHUB8QAAEQAAEQAAEQAAEQAAEQAAEQAAEQUEEARh0VkFAEBEAABEAABEAABEAABEAABEAABEAABMxGAEYds90R1AcEQAAEQAAEQAAEQAAEQAAEQAAEQAAEVBCAUUcFJBQBARAAARAAARAAARAAARAAARAAARAAAbMRgFHHbHcE9QEBEAABEAABEAABEAABEAABEAABEAABFQRg1FEBCUVAAARAAARAAARAAARAAARAAARAAARAwGwEYNQx2x1BfUAABEAABEAABEAABEAABEAABEAABEBABQEYdVRAQhEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQMBsBGHXMdkdQHxAAARAAARAAARAAARAAARAAARAAARBQQQBGHRWQUAQEQAAEQAAEQAAEQAAEQAAEQAAEQAAEzEYARh2z3RHUBwRAAARAAARAAARAAARAAARAAARAAARUEIBRRwUkFAEBEAABEAABEAABEAABEAABEAABEAABsxGAUcdsdwT1AQEQAAEQAAEQAAEQAAEQAAEQAAEQAAEVBGDUUQEJRUAABEAABEAABEAABEAABEAABEAABEDAbARg1DHbHUF9QAAEQAAEQAAEQAAEQAAEQAAEQAAEQEAFARh1VEBCERAAARAAARAAARAAARAAARAAARAAARAwGwEYdcx2R1AfEAABEAABEAABEAABEAABEAABEAABEFBBAEYdFZBQBARAAARAAARAAARAAARAAARAAARAAATMRgBGHbPdEdQHBEAABEAABEAABEAABEAABEAABEAABFQQ+H8bNcxRT1DjGwAAAABJRU5ErkJggg==)\n", + "\n", + "\n", + "## Pre Filtering and ANN Recall Reduction\n", + "An inherent consequence of the pre-filtering approach is the dilution of the vector space prior to the KNN. While this effect does not alter the results of brute-force KNN, ANN approaches like IVF and HNSW may experience a reduction in recall. To better understand this result, consider scenarios in which nearby neighbors are irrelevant to the search, but their neighbors are. In such cases, the ANN method may fail to identify these relevant neighbors, as illustrated below.\n", + "\n", + "![SparseGraph.PNG](data:image/png;base64,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)\n", + "\n", + "\n", + "# The Datset\n", + "The dataset includes a list of academic papers from arXiv, vector embedding of their description and their metadata. The dataset can be downloaded from [here](http://hyperspace-datasets.s3.amazonaws.com/arXiv_data.zip).\n", + "\n", + "\n", + "## The Metadata Fields\n", + "The metadata includes the following fields:\n", + "1. **id** [float] - paper unique id\n", + "2. **title** [string] - paper title\n", + "3. **submitter** [string] - name of person who submitted the paper\n", + "4. **categories** [list[string]] - list of categories which include the paper\n", + "5. **label** [list[string]] - labels aplied to paper\n", + "6. **license** [string] - license type\n", + "7. **update_date_ts** [integer] - update time in unix format\n", + "\n", + "We will use the combination of an embedded vector data and metadata, to create a hybrid search.\n", + "\n", + "# Setting up the Hyperspace environment\n", + "Working with Hyperspace requires the followin steps\n", + "\n", + "1. Install the client API\n", + "2. Create data config file\n", + "3. Connect to a server\n", + "4. Create collection\n", + "5. Ingest data\n", + "6. Run query" + ], + "id": "1Kone1nET7HS" }, - "outputId": "c0190fd2-0785-4d22-dd53-27b192299813" - }, - "outputs": [], - "source": [ - "collections_info = hyperspace_client.collections_info()\n", - "display(collections_info)" - ], - "id": "cH_lWsLLza0n" - }, - { - "cell_type": "markdown", - "metadata": { - "id": "HXmdh3YGVfQV" - }, - "source": [ - "#3. Create a Data Schema File\n", - "\n", - "As other search databases, Hyper-Space database requires a configuration file that outlines the data schema. Attached below is a config file that corresponds to the fields of the given dataset.\n", - "\n", - "For vector fields, we also provide the index type to be used, and the metric. . Current options for index include \"**brute_force**\", \"**hnsw**\", \"**ivf**\", and \"**bin_ivf**\" for binary vectors, and \"**IP**\" ([inner product](https://en.wikipedia.org/wiki/Inner_product_space)) as a metric for floating point vectors and \"**Hamming**\" ([hamming distance](https://en.wikipedia.org/wiki/Hamming_distance)) for binary vectors.\n", - "Here, we use \"brute_force\" (exact KNN) with inner product." - ], - "id": "HXmdh3YGVfQV" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "976b2177" - }, - "outputs": [], - "source": [ - "import json\n", - "\n", - "config = {\n", - " \"configuration\": {\n", - " \"doc_id\": {\n", - " \"type\": \"keyword\",\n", - " \"id\": True\n", - " },\n", - " \"id\": {\n", - " \"type\":\"float\"\n", - " },\n", - " \"title\": {\n", - " \"type\":\"keyword\"\n", - " },\n", - " \"submitter\": {\n", - " \"type\":\"keyword\"\n", - " },\n", - " \"categories\": {\n", - " \"type\":\"keyword\",\n", - " \"struct_type\":\"list\"\n", - " },\n", - " \"labels\": {\n", - " \"type\":\"keyword\",\n", - " \"struct_type\":\"list\"\n", - " },\n", - " \"license\": {\n", - " \"type\":\"keyword\"\n", - " },\n", - " \"update_date\": {\n", - " \"type\":\"keyword\"\n", - " },\n", - " \"update_date_ts\": {\n", - " \"type\":\"integer\"\n", - " },\n", - " \"embedded_abstract\": {\n", - " \"type\": \"dense_vector\",\n", - " \"dim\": 384,\n", - " \"index_type\" : \"brute_force\",\n", - " \"metric\": \"IP\"\n", - " }\n", - " }\n", - "}\n", - "config_file_path = 'arXiv_config.json'\n", - "with open(config_file_path, 'w') as f:\n", - " f.write(json.dumps(config, indent=2))\n" - ], - "id": "976b2177" - }, - { - "cell_type": "markdown", - "metadata": { - "id": "7RTDkUsr3ead" - }, - "source": [ - "## 4. Create Collection\n", - "The Hyperspace database stores data within Collections, which are distinct segments within the database.\n", - "Each search is then perfomed within a collection. We create a collection using the command \"**create_collection**(schema_filename, collection_name)\"." - ], - "id": "7RTDkUsr3ead" - }, - { - "cell_type": "code", - "source": [ - "collections_info[\"collections\"]" - ], - "metadata": { - "id": "zmPl8h9hH_Qx", - "outputId": "128c4b79-8257-4ee9-c3b4-ea55208cf25b", - "colab": { - "base_uri": "https://localhost:8080/" - } - }, - "id": "zmPl8h9hH_Qx", - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "list(collections_info[\"collections\"].keys())" - ], - "metadata": { - "id": "GQMHL_LLILby", - "outputId": "3acf3527-bd6f-467c-8a74-c5aa68c57147", - "colab": { - "base_uri": "https://localhost:8080/" + { + "cell_type": "markdown", + "metadata": { + "id": "SZwFmp6tVLZ_" + }, + "source": [ + "## 1. Install the client API\n", + "You can install the Hyperspace API directly from Git by executing the following command:" + ], + "id": "SZwFmp6tVLZ_" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "WkkNOdYyZ7Ew" + }, + "outputs": [], + "source": [ + "pip install hyperspace-py" + ], + "id": "WkkNOdYyZ7Ew" + }, + { + "cell_type": "markdown", + "source": [ + "### Download dataset" + ], + "metadata": { + "collapsed": false, + "id": "3543856af64665d7" + }, + "id": "3543856af64665d7" + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "from urllib.request import urlretrieve\n", + "import os\n", + "\n", + "def download_data(url, file_name):\n", + " \"\"\"\n", + " url (str): URL of the file to download.\n", + " file_name (str): Local path where the file will be saved.\n", + " \"\"\"\n", + " # Check if the file already exists and is not empty\n", + " if os.path.exists(file_name) and os.path.getsize(file_name) > 0:\n", + " print(f\"The file {file_name} already exists and is not empty.\")\n", + " else:\n", + " try:\n", + " # Attempt to download the file from `url` and save it locally under `file_name`\n", + " urlretrieve(url, file_name)\n", + " # Check if the file was downloaded and is not empty\n", + " if os.path.exists(file_name) and os.path.getsize(file_name) > 0:\n", + " print(f\"Successfully downloaded {file_name}\")\n", + " else:\n", + " print(\"Download failed or file is empty.\")\n", + "\n", + " except Exception as e:\n", + " print(f\"An error occurred: {e}\")\n", + "\n", + "import zipfile\n", + "def unzip_file(path_to_zip_file):\n", + " directory_to_extract_to = './'\n", + " try:\n", + " with zipfile.ZipFile(path_to_zip_file, 'r') as zip_ref:\n", + " zip_ref.extractall(directory_to_extract_to)\n", + " print(f'Success! Files have been extracted to {directory_to_extract_to}')\n", + "\n", + " except zipfile.BadZipFile: # Handle a bad zip file\n", + " print(\"Error: The file is a bad zip file. Unable to unzip.\")\n", + " except FileNotFoundError: # Handle the file not being found\n", + " print(\"Error: The file was not found. Please check the path.\")\n", + " except Exception as e: # Handle other exceptions\n", + " print(f\"An error occurred: {e}\")\n" + ], + "metadata": { + "id": "65a8267b1998a73c" + }, + "id": "65a8267b1998a73c" + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "data_url = \"http://hyperspace-datasets.s3.amazonaws.com/arXiv_data.zip\"\n", + "download_data(data_url, \"./arXiv_data.zip\")\n", + "unzip_file(\"./arXiv_data.zip\")" + ], + "metadata": { + "id": "6a19972bd2cf51d4" + }, + "id": "6a19972bd2cf51d4" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "TCZSwM6DVeDm" + }, + "source": [ + "#2. Connect to a server\n", + "\n", + "Once the Hyperspace API is installed, you can access database by creating a local instance of the Hyperspace client. This step requires host address, username and password, provided by Hyperspace" + ], + "id": "TCZSwM6DVeDm" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "17a978a2" + }, + "outputs": [], + "source": [ + "import hyperspace\n", + "from getpass import getpass\n", + "\n", + "username = \"USERNAME\"\n", + "host = \"HOST_URL\"\n", + "\n", + "hyperspace_client = hyperspace.HyperspaceClientApi(host=host, username=username, password=getpass())\n" + ], + "id": "17a978a2" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "KiZGq3v8V4vL" + }, + "source": [ + "It is recommended to check the status before proceeding, using the command:" + ], + "id": "KiZGq3v8V4vL" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "cH_lWsLLza0n" + }, + "outputs": [], + "source": [ + "collections_info = hyperspace_client.collections_info()\n", + "display(collections_info)" + ], + "id": "cH_lWsLLza0n" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HXmdh3YGVfQV" + }, + "source": [ + "#3. Create a Data Schema File\n", + "\n", + "As other search databases, Hyper-Space database requires a configuration file that outlines the data schema. Attached below is a config file that corresponds to the fields of the given dataset.\n", + "\n", + "For vector fields, we also provide the index type to be used, and the metric. . Current options for index include \"**brute_force**\", \"**hnsw**\", \"**ivf**\", and \"**bin_ivf**\" for binary vectors, and \"**IP**\" ([inner product](https://en.wikipedia.org/wiki/Inner_product_space)) as a metric for floating point vectors and \"**Hamming**\" ([hamming distance](https://en.wikipedia.org/wiki/Hamming_distance)) for binary vectors.\n", + "Here, we use \"brute_force\" (exact KNN) with inner product." + ], + "id": "HXmdh3YGVfQV" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "976b2177" + }, + "outputs": [], + "source": [ + "import json\n", + "\n", + "config = {\n", + " \"configuration\": {\n", + " \"doc_id\": {\n", + " \"type\": \"keyword\",\n", + " \"id\": True\n", + " },\n", + " \"id\": {\n", + " \"type\":\"float\"\n", + " },\n", + " \"title\": {\n", + " \"type\":\"keyword\"\n", + " },\n", + " \"submitter\": {\n", + " \"type\":\"keyword\"\n", + " },\n", + " \"categories\": {\n", + " \"type\":\"keyword\",\n", + " \"struct_type\":\"list\"\n", + " },\n", + " \"labels\": {\n", + " \"type\":\"keyword\",\n", + " \"struct_type\":\"list\"\n", + " },\n", + " \"license\": {\n", + " \"type\":\"keyword\"\n", + " },\n", + " \"update_date\": {\n", + " \"type\":\"keyword\"\n", + " },\n", + " \"update_date_ts\": {\n", + " \"type\":\"integer\"\n", + " },\n", + " \"embedded_abstract\": {\n", + " \"type\": \"dense_vector\",\n", + " \"dim\": 384,\n", + " \"index_type\" : \"brute_force\",\n", + " \"metric\": \"IP\"\n", + " }\n", + " }\n", + "}\n", + "config_file_path = 'arXiv_config.json'\n", + "with open(config_file_path, 'w') as f:\n", + " f.write(json.dumps(config, indent=2))\n" + ], + "id": "976b2177" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7RTDkUsr3ead" + }, + "source": [ + "## 4. Create Collection\n", + "The Hyperspace database stores data within Collections, which are distinct segments within the database.\n", + "Each search is then perfomed within a collection. We create a collection using the command \"**create_collection**(schema_filename, collection_name)\"." + ], + "id": "7RTDkUsr3ead" + }, + { + "cell_type": "code", + "source": [ + "collections_info[\"collections\"]" + ], + "metadata": { + "id": "zmPl8h9hH_Qx" + }, + "id": "zmPl8h9hH_Qx", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "list(collections_info[\"collections\"].keys())" + ], + "metadata": { + "id": "GQMHL_LLILby" + }, + "id": "GQMHL_LLILby", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "collection_name = 'all-MiniLM-L6-v2_arXiv'\n", + "if collection_name not in hyperspace_client.collections_info()[\"collections\"]:\n", + " hyperspace_client.create_collection('arXiv_config.json', collection_name)\n", + "\n", + "hyperspace_client.collections_info()" + ], + "metadata": { + "id": "a246666c02120eda" + }, + "id": "a246666c02120eda" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lUpgHD2VWFXd" + }, + "source": [ + "# 5. Ingest data\n", + "\n", + "In the next step, we ingest the dataset in batches. The number documents in each batch can be controlled by the user, and specifically, it can be increased to reduce ingestion time.\n", + "Batches of data are added using the add_batch(batch, collection_name) command\n", + "Ingestion of 1m documents may take several minutes." + ], + "id": "lUpgHD2VWFXd" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "aocQ5xgbZf-S" + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "vectors_path = \"1m-vectors.npy\"\n", + "metadata_path = \"1m-payloads.jsonl\"\n", + "\n", + "BATCH_SIZE = 1000\n", + "vecs = np.load(vectors_path)\n", + "\n", + "batch = []\n", + "with open(metadata_path) as data:\n", + " for i, (metadata_row, vec) in enumerate(zip(data, vecs)):\n", + " row = {key: value for key, value in json.loads(metadata_row).items() if key in config[\"configuration\"].keys()}\n", + " row['categories'] = row['categories'].split()\n", + " row['embedded_abstract'] = np.ndarray.tolist(vec)\n", + " row['doc_id'] = str(i)\n", + "\n", + " batch.append(row)\n", + "\n", + " if i % BATCH_SIZE == 0:\n", + " response = hyperspace_client.add_batch(batch, collection_name)\n", + " batch.clear()\n", + " print(i, response)\n", + "# Vector search requires a commit\n", + "hyperspace_client.commit(collection_name)" + ], + "id": "aocQ5xgbZf-S" + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8lRgTyKwWJ84" + }, + "source": [ + "# 6. Define Logic and Run a Query\n", + "Let us construct a Hyperspace hybrid search query. We will randomly select a paper from the database and search for similar ones. The 'boost' fields in the query object enable us to control the relative weights of classic search and vector search scores." + ], + "id": "8lRgTyKwWJ84" + }, + { + "cell_type": "code", + "source": [ + "import inspect\n", + "\n", + "def set_score_function(func, collection_name, score_function_name='func'):\n", + " source = inspect.getsource(func)\n", + " with open('sf.py', 'w') as f:\n", + " f.write(source)\n", + " hyperspace_client.set_function('sf.py', collection_name, score_function_name)\n", + "\n", + "\n", + "\n", + "def arXiv_score_func(params, doc):\n", + " score = 0.0\n", + "\n", + " if match('categories'):\n", + "\n", + " if match('submitter'):\n", + " score += 1\n", + "\n", + " if params['license'] is None:\n", + " score *= 0.2\n", + "\n", + " if match('title'):\n", + " score = 0\n", + "\n", + " return score\n", + "\n", + "set_score_function(arXiv_score_func, collection_name=collection_name, score_function_name='similarity_sf')\n" + ], + "metadata": { + "id": "NW1lP7BuJTH0" + }, + "id": "NW1lP7BuJTH0", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "0YdFBOCsOJka" + }, + "outputs": [], + "source": [ + "input_document = hyperspace_client.get_document(collection_name, '2000')\n", + "print(input_document['title'], \"\\n======================================\\n\", input_document['submitter'], \"\\n\", input_document['categories'])" + ], + "id": "0YdFBOCsOJka" + }, + { + "cell_type": "markdown", + "source": [ + "Let us begin with classic search" + ], + "metadata": { + "id": "b6JMHbaSK6YO" + }, + "id": "b6JMHbaSK6YO" + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "5ff98e9d" + }, + "outputs": [], + "source": [ + "results = hyperspace_client.search({'params': input_document},\n", + " size=10,\n", + " function_name='similarity_sf',\n", + " collection_name=collection_name)\n", + "\n", + "for i, result in enumerate(results['similarity']):\n", + " vector_api_response = hyperspace_client.get_document(document_id=result['document_id'], collection_name=collection_name)\n", + " print(i + 1, \"id\", result['document_id'], \":\", vector_api_response['title'], \",\", vector_api_response['submitter'], \",\", vector_api_response['categories'])\n" + ], + "id": "5ff98e9d" + }, + { + "cell_type": "markdown", + "source": [ + "In the next step, we use hybrid search" + ], + "metadata": { + "id": "Sps34KzkK-_2" + }, + "id": "Sps34KzkK-_2" + }, + { + "cell_type": "code", + "source": [ + "query_with_knn = {\n", + " 'params': input_document,\n", + " 'knn' : [{'field': 'query',\"boost\": 0.001},\n", + " {'field': 'embedded_abstract',\"boost\": 100}]\n", + "}\n", + "\n", + "results = hyperspace_client.search(query_with_knn,\n", + " size=10,\n", + " function_name='similarity_sf',\n", + " collection_name=collection_name)\n", + "\n", + "for i, result in enumerate(results['similarity']):\n", + " vector_api_response = hyperspace_client.get_document(document_id=result['document_id'], collection_name=collection_name)\n", + " print(i + 1, \"id\", result['document_id'], \":\", vector_api_response['title'], \",\", vector_api_response['submitter'], \",\", vector_api_response['categories'])\n" + ], + "metadata": { + "id": "d7db9-Y1K4wt" + }, + "id": "d7db9-Y1K4wt", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5uRO_8UUQIzk" + }, + "source": [ + "The returned documents have similar submitter name, as expected from the metadata filtering.\n", + "\n", + "This notebook gave a simple example of the use of the Hyperspace engine for hybrid search. Hyperspace can support complicated use cases with large databases, in extremley low latency." + ], + "id": "5uRO_8UUQIzk" } - }, - "id": "GQMHL_LLILby", - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "collection_name = 'all-MiniLM-L6-v2_arXiv'\n", - "if collection_name not in hyperspace_client.collections_info()[\"collections\"]:\n", - " hyperspace_client.create_collection('arXiv_config.json', collection_name)\n", - "\n", - "hyperspace_client.collections_info()" - ], - "metadata": { - "collapsed": false - }, - "id": "a246666c02120eda" - }, - { - "cell_type": "markdown", - "metadata": { - "id": "lUpgHD2VWFXd" - }, - "source": [ - "# 5. Ingest data\n", - "\n", - "In the next step, we ingest the dataset in batches. The number documents in each batch can be controlled by the user, and specifically, it can be increased to reduce ingestion time.\n", - "Batches of data are added using the add_batch(batch, collection_name) command\n", - "Ingestion of 1m documents may take several minutes." - ], - "id": "lUpgHD2VWFXd" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "aocQ5xgbZf-S" - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "vectors_path = \"1m-vectors.npy\"\n", - "metadata_path = \"1m-payloads.jsonl\"\n", - "\n", - "BATCH_SIZE = 1000\n", - "vecs = np.load(vectors_path)\n", - "\n", - "batch = []\n", - "with open(metadata_path) as data:\n", - " for i, (metadata_row, vec) in enumerate(zip(data, vecs)):\n", - " row = {key: value for key, value in json.loads(metadata_row).items() if key in config[\"configuration\"].keys()}\n", - " row['categories'] = row['categories'].split()\n", - " row['embedded_abstract'] = np.ndarray.tolist(vec)\n", - " row['doc_id'] = str(i)\n", - " \n", - " batch.append(row)\n", - " \n", - " if i % BATCH_SIZE == 0:\n", - " response = hyperspace_client.add_batch(batch, collection_name)\n", - " batch.clear()\n", - " print(i, response)\n", - "# Vector search requires a commit\n", - "hyperspace_client.commit(collection_name)" - ], - "id": "aocQ5xgbZf-S" - }, - { - "cell_type": "markdown", - "metadata": { - "id": "8lRgTyKwWJ84" - }, - "source": [ - "# 6. Define Logic and Run a Query\n", - "Let us construct a Hyperspace hybrid search query. We will randomly select a paper from the database and search for similar ones. The 'boost' fields in the query object enable us to control the relative weights of classic search and vector search scores." - ], - "id": "8lRgTyKwWJ84" - }, - { - "cell_type": "code", - "source": [ - "import inspect\n", - "\n", - "def set_score_function(func, collection_name, score_function_name='func'):\n", - " source = inspect.getsource(func)\n", - " with open('sf.py', 'w') as f:\n", - " f.write(source)\n", - " hyperspace_client.set_function('sf.py', collection_name, score_function_name)\n", - " \n", - "\n", - "\n", - "def arXiv_score_func(params, doc):\n", - " score = 0.0\n", - "\n", - " if match('categories'):\n", - "\n", - " if match('submitter'):\n", - " score += 1\n", - "\n", - " if params['license'] is None:\n", - " score *= 0.2\n", - "\n", - " if match('title'):\n", - " score = 0\n", - "\n", - " return score\n", - "\n", - "set_score_function(arXiv_score_func, collection_name=collection_name, score_function_name='similarity_sf')\n" - ], - "metadata": { - "id": "NW1lP7BuJTH0" - }, - "id": "NW1lP7BuJTH0", - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "0YdFBOCsOJka" - }, - "outputs": [], - "source": [ - "input_document = hyperspace_client.get_document(collection_name, '2000')\n", - "print(input_document['title'], \"\\n======================================\\n\", input_document['submitter'], \"\\n\", input_document['categories'])" - ], - "id": "0YdFBOCsOJka" - }, - { - "cell_type": "markdown", - "source": [ - "Let us begin with classic search" - ], - "metadata": { - "id": "b6JMHbaSK6YO" - }, - "id": "b6JMHbaSK6YO" - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "5ff98e9d", + ], + "metadata": { "colab": { - "base_uri": "https://localhost:8080/" + "provenance": [] }, - "outputId": "cb0e7401-fe5a-455c-bc7a-f018d3547e56" - }, - "outputs": [], - "source": [ - "results = hyperspace_client.search({'params': input_document},\n", - " size=10,\n", - " function_name='similarity_sf',\n", - " collection_name=collection_name)\n", - "\n", - "for i, result in enumerate(results['similarity']):\n", - " vector_api_response = hyperspace_client.get_document(document_id=result['document_id'], collection_name=collection_name)\n", - " print(i + 1, \"id\", result['document_id'], \":\", vector_api_response['title'], \",\", vector_api_response['submitter'], \",\", vector_api_response['categories'])\n" - ], - "id": "5ff98e9d" - }, - { - "cell_type": "markdown", - "source": [ - "In the next step, we use hybrid search" - ], - "metadata": { - "id": "Sps34KzkK-_2" - }, - "id": "Sps34KzkK-_2" - }, - { - "cell_type": "code", - "source": [ - "query_with_knn = {\n", - " 'params': input_document,\n", - " 'knn' : [{'field': 'query',\"boost\": 0.001},\n", - " {'field': 'embedded_abstract',\"boost\": 100}]\n", - "}\n", - "\n", - "results = hyperspace_client.search(query_with_knn,\n", - " size=10,\n", - " function_name='similarity_sf',\n", - " collection_name=collection_name)\n", - "\n", - "for i, result in enumerate(results['similarity']):\n", - " vector_api_response = hyperspace_client.get_document(document_id=result['document_id'], collection_name=collection_name)\n", - " print(i + 1, \"id\", result['document_id'], \":\", vector_api_response['title'], \",\", vector_api_response['submitter'], \",\", vector_api_response['categories'])\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" }, - "id": "d7db9-Y1K4wt", - "outputId": "cb8de110-6177-4e94-c3a7-0b728daaab7b" - }, - "id": "d7db9-Y1K4wt", - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "5uRO_8UUQIzk" - }, - "source": [ - "The returned documents have similar submitter name, as expected from the metadata filtering.\n", - "\n", - "This notebook gave a simple example of the use of the Hyperspace engine for hybrid search. Hyperspace can support complicated use cases with large databases, in extremley low latency." - ], - "id": "5uRO_8UUQIzk" - } - ], - "metadata": { - "colab": { - "provenance": [] - }, - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.13" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file