diff --git "a/notebooks/explore.ipynb" "b/notebooks/explore.ipynb" new file mode 100644--- /dev/null +++ "b/notebooks/explore.ipynb" @@ -0,0 +1,6485 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Initialization" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "from IPython.core.interactiveshell import InteractiveShell\n", + "InteractiveShell.ast_node_interactivity = 'all'" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "from top2vec import Top2Vec\n", + "from datasets import load_dataset\n", + "from pathlib import Path\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "WindowsPath('C:/Users/ditho/work_projects/top2vec')" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "proj_dir = Path.cwd().parent\n", + "proj_dir" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "model_path = proj_dir / 'models' / 'model.pkl'" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Modeling" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using custom data configuration SetFit--20_newsgroups-f9362e018b6adf67\n", + "Found cached dataset json (C:/Users/ditho/.cache/huggingface/datasets/SetFit___json/SetFit--20_newsgroups-f9362e018b6adf67/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51)\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "08002681bbae43fd8cf21da113ab9c55", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/2 [00:00 2 for plotting\n", + "\"metric\": \"minkowski\",\n", + "'min_dist':0.10,\n", + "'spread':1\n", + "}\n", + "umap_model = umap.UMAP(**umap_args_model).fit(model.document_vectors)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\ditho\\AppData\\Roaming\\Python\\Python39\\site-packages\\scipy\\sparse\\_index.py:146: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.\n", + " self._set_arrayXarray(i, j, x)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: total: 12.1 s\n", + "Wall time: 12.7 s\n" + ] + }, + { + "data": { + "text/plain": [ + "['C:\\\\Users\\\\ditho\\\\work_projects\\\\top2vec\\\\models\\\\umap.sav']" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%time\n", + "import joblib\n", + "filename = proj_dir/'models'/'umap.sav'\n", + "joblib.dump(umap_model, filename)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 1.0132099, -0.7026323]], dtype=float32)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "umap_model.transform(model.embed(\"I love Computers!\").reshape(1, -1))" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdAAAAHECAYAAACJGnuNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOzdd2AUxdvA8e/u1Vx67yGV0HtvghQB6QqIiKAiqNgLdkCxKyoWLFgApYkIUpUmTXqHUEMI6b2Xq7vvHwdRXvAnaiAQ5uMfJndzu89uok9mduYZSVVVBEEQBEH4Z+SaDkAQBEEQrkcigQqCIAjCvyASqCAIgiD8CyKBCoIgCMK/IBKoIAiCIPwL2n/SWJIkMWVXEARBuJHkqarqf6k3RA9UEARBEP7a2b96QyRQQRAEQfgXRAIVBEEQhH9BJFBBEARB+Bf+0SSiS/H29mbKlCnExsYiy9dPPlYUhcTERKZMmUJhYWFNhyMIgiBcZ6R/Ugv3UrNwp0+fTps2bdBq/3Muvursdju7du3iscceq+lQBEEQhGvTXlVVW13qjf/cZYyNjb0ukyeAVqslNja2psMQBEEQrkP/OYFeT8O2l3K9xy8IgiDUDJE9BEEQBOFfqPax15WtLzlU/K/dunvP37bZtm0b06ZNQ1EUBg4cyJgxY6o1BkEQBEH4/677HqjD4eCdd95h+vTp/PDDD6xZs4akpKSaDksQBEGo5a77BJqQkEB4eDhhYWHodDp69uzJpk2bajosQRAEoZa77hNobm4ugYGBVd8HBgaSm5tbgxEJgiAIN4LrPoEKgiAIQk247hOov78/2dnZVd9nZ2fj73/JnWcEQRAEodpc9wm0QYMGpKSkkJ6ejs1mY+3atXTp0qWmwxIEQRBquWpfxnI5y06qk1arZeLEiTz66KM4HA4GDBhATEzMVY1BEARBuPFcnzX4/p+OHTvSsWPHmg5DEARBuIFc90O4gnAtuP3FATz706PIGvGflCDcKMR/7YJQDRrlPIDLkA8Z69hV06EIgnCViAQqCP+RG4GoM28BJAJoVNPhCIJwlYgEKgj/kQYDKipWypghEqgg3DBqxSQiQahJxaTwGkYU7DUdiiAIV5HogQpCNfhz8rydhfTjsxqMRhCEq6Hae6Az725Zrce7f87ev23z6quvsnXrVry9vVm4cGG1nl+ovSLoSCkZFHLmovf0uOJLPNF0ZxefYKPyso4pIVGXvpSTV93hCoJwjakVQ7j9+vVj2LBhTJ48uaZDEa5BvtSlCSNpxj0s4z5Os5ZmjGEQ35LNEc6wAQOeRNONDUwCVHozHSOeSEi0YDxf0YZKCv72XCoq7xOOiuPKX5ggCDWqViTQFi1akJGRUdNhCNcQLUaG8xMRdAQkDLgD0JA7SGMXA/kagL3MpC/Tqz7Xmw9wwfuCY/kSQ3feYgXjLuvcZoqq5RoEQbi2iWegQq00mDnE0QcDHhhwRznXI2zBvTxJGtK5X/1uvIJ67p+DfI+FUsD5TPMUq1FRAKjP4Jq5EEEQrlkigQq1UiFJlJKJHQsAMpqq9/S4AuDAhgteSOf+iaYnXnLYufZaNjKFxdyFhRKOsZhWjMeAx9W/GEEQrkkigQq1jhtBdOJZZLQo53qQ5yk4sGNBRUWD7oL33AlEE14GQAGnSWcXvtTFgAd2LPTjc5pz71W7DkEQrm0igQq1TjnZ7OQTXPFHj0vV6yoKMhpkNEhIVa+e/wfAcda9qu2zFOBPfQBa8wAKyrlWTj7EXNCzFQThxlLtk4guZ9lJdXvxxRfZu3cvRUVF3HrrrYwbN46BAwde9TiEmichE89A2vIwAHZsaM/1NM2UVA3ZOrCh0cngkJAUCZBQUZCQUVHxJQ6AIpKxUIoeNyQkevEOelzxIJTWPMjvvMtaJtbU5QqCUINqxSzc119/vaZDEK4B8QzgVj7FA+dzTDtWyshkAy+dW5biBYCEhmwOEmxrgrMDqQISdqzoMKJgo4QM9vEVKWymtdvT4BzZJYtDdGUSNio5yxbOsL4mLlUQhGtArUigggAwnJ+Q0WDDgg4DMjJe1KE7b2DCp6qdhEQwzVBRkRxS1evaczVtZXR4E0ksfZGaxrHy9WzaPSajnk5lCaMJoy0pbKWAxJq4TEEQrhHiGahQK8TRBxkNDuws5W7smCknly9ohQehVc84z3N+r+LAhoKDbBKo8EtC+lObOnTAmp9O1DIjIaeD2M83DOJbBvEtCraLYvCiTtV6U0EQaj+RQIXrWjjtGcQsTASQx0nmcSsJ/MBruDCNEEpJR0JGwY6CQjl556YMKZgpRoMOGQ3HWYJa6Jxw5HxG6kBFJSftNxp8qeUUq9jHTDYyhS28QTGpF8TRhkd4nGTu4peauA2CINQAkUCF69pIVtOM0QxmFib86cDTPEUW9RkCQBlZHGA2GnSksBVX/JCQkNHggndVz/QmXsLNEcL5yUTyubWhJvyxUUExKbgTSiK/sJ4XqwosABjxoi8fYaWMw8yvet2DUJowEh2mv4zfj/iqog6CIFxfxH+5wnVtC2/iwAqAC17E0BN3AmnA0KrEtJnXOMJCVvIQZWRRQjrgHMaVLhi0dZKQkZCppIgBfMV2PiSJdTzBWdowgTDacgdLcCcEcJbu+4Hbmc3N7OITAKK4mSdJZWSH92jrPhaATjzLM2Tjd25pTEOG8jDHacfjV/QeCYJwZYgEKlzXGnMHGvQAVcmwkiLqM5hRrAGggER+5A5ySeA4S3En+IL2dsyo556HIv/Rs3TBCz0mOvMCJaSTyT6yOEA8A6nHIBpwe1XbdHZXJXKAMjJxdNpHnfUr6fJeMOPZR3fewJUAxrGLFyilD59QSQEKdmQ0dOYFIuh0ZW+YIAjVptpn4b7yevNqPd7kF/f/z/ezsrKYMmUKBQXOnTIGDx7MiBEjqjUG4dq1ikeIpQ+dea6qx6lFTw4J5JLAkBB3vLUyX6cUAxBOh4uGTB3YyeIgYbTFopRS6nmSBm+Usmr+jwRtvYuTrGQs2znKj6TwOxnsoR4D6cN0EviBMrIYzXp8iOUN3LFSRi7HeP9IFyYvmIHnd6PRn0vaALpzpQQlNOhwoRF30JNpaNHiwMpUDFfp7gmC8F9c9z1QrVbL448/zg8//MC3337Ljz/+SFJSUk2HJVwlKWzFgPsFSVGHiXVMZDWP8UXTIF6KGEA8fQHI49QFn1dRMeCGFzEoODDgTljdcAxtMzhuXc1XtGcnH5HBPtLZA4AdC1t5h1TfY7To/TVIEvv4GjPFNOceADrzIhOKzrLlHhtlW/0uON/52rs6XDjBKsJpj/bc37L2P/ViBUG4tl33CdTPz4969eoB4OrqSmRkJLm5uTUclXA1GPHiLn6lvmcvDM1zL1iq4kkkDZ6ZyrAJ7/Plng8YwcpzU4cuHHRxnFuO4oYfdsy8Tzh7Yyfj2rCS4NhAACyU8CUt+Z23qz53kNkElcXR9dc++Lo2Qakfhurrxi28zwuUE0dfTPgRQuuLau5WlQ3ERl16X/CelRKMeOEpRyGJMoGCcE277hPon2VkZHDixAkaNmxY06EIV4EXkcTSiwbfnCVq2zIM9YtQcJAp7aPlgIbEdB6BvVU0a1ymsohh1Gcwpbqz4GKuOoZkOIy361mMPnNYy0RKSGPxD1/y2+wtmMst//P8a7TPI6sS3eW3yPixPxs+ykVGix4TQTQlh6Ns5U2momcvMwHnNmkSEioqZeRU9ZzP1+N1J4S62qE8oSRxv+HIlbt5giD8Z7WmElFFRQXPPvssTz75JG5ubjUdjnAVZHGAefSn+7eDiDQnIaU5kFEwRJfjs+wJQlKTyD/jgrboUdbxHL20b+Nli+HPNRAMihejburF8N3pJBFKGyaQHLKIbqM7E1ovhN0/7/vL8+8t/xAZCymh6cSt/ZzIX01YqUCPCVDZz9ccZREqCrkcA6jqjZ5PoufpY4sxdcoif1YMaeo2KvWVZHD160oLgnD5akUCtdvtPPvss/Tu3Zubb765psMRrqI4+hK44j5yd48g3FGOBT98TneirO5elmZOwFHiySD/Xwgu7kDkO6coejyG87VvAWy2aEJW5RBisjLttuEU6u/kg/kHeemmN8hLyf+f51aws5OP4RjYX8shKO8JlrOYLryEP/W5hWlksIezbGY3n9Kb94E/noN6navZC1DntxVo/Swc/i6XAkcCbzv+eu2oIAjXhus+gaqqytSpU4mMjGTkyJE1HY5wlf3Gy5xhA8ezl/BCQAD+8kNYHVo42ZIz7CPCfQDlfuArdcKyOASXm9Kp3PRHaT8VhboM4Ol6a/F6wwvZepiiXw9RsqsECRktRuyY/2cMetyw5J2hAUPwog4u5+ru2rGix50IOlFJAet5iUaMIJALHzGoqKQNugXZZGef46W/veZ4BuBOMGfZTAGnL1g+IwjC1SOpqvr3rc43lqSLGq9evRo/P79LNb8qDhw4wP33309sbCyS5OxVTJgwgY4dO17W5/Py8ujTp8+VDFG4Sja07M7WfatRVC0qsKv5GHq/6EnG2A8wlMrkOo7hij+FJBJCSwA06PmddzhteoknQnaTn9iUMrI47raAxmVj0aLnbXyxntuOpR2PUUomuRylO2+QyT66MpkfGUFDhpLAD9zM6/gQg5Vy9OeWrNiMCvseL6LZx54Yyp2Tg84n8fPrUbfyNpuZio0KGjKcTPaRz8mLrvNZCnDBG1BRQrN5NT34ojaCIFSbvaqqtrrUG9d9D7RZs2bs3r27psMQrgIDHlgo+cv363mqbFZ1uBlzcL8tiwnjOuMSbKa4+0+cXOxOLL1RAvMI6etJ7rJk/ILtrD2ylg28hKPCxpeJ7zCY74h8PZlWT7pzuqFCXlJ2VQ9Pi4HefEgpGWzlLeLpTxDNKCaFnryNJxF4EY0PMQBVJfxUVDQ2iYD9hguSp4SEjUp0uJBPIp14FjcC2cdX3H6uJOB23iePk9BvJ3UahfLTWyvZyUd0ZRIgYXMpunI3XBCE/+m674H+V6IHen24p/8UOj/ZnJP3xfNWUr1LtvmyaRC3BYWgd9Gw9+M7kDUKaCUqzniyo+1YVFRsjRNosmsnLD5Em+aurB51Pyf2Kbg8tYvQRq7kblco8zlF2B0WpvWcTUbuhVuWRdARM8WUkMZzFALwHbfQn5l4EQGAvlkO1gRfsMmAhIIDGQ2VnjYMxVoknM9Pz08oOp9MVVQ2MgVwDtN6EIqMFhN+uO54g/Cmgdwf/jileWV4EYnFJYfKyoorcr8FQahSe3ugQu3nIkGPN2I40+dm3LzK/7LduINZjDuYRZO2UXxiUJGsDnRvl/PLllhOsZgGDKbsuJb5Ly8mbGtXrIHdyd0XhYfsQDsthlwPGw2z55A4ci6Fw9PIyL14ElEKvwPOrcsACjnDadbwC49RnyEE05Ki/F00fdcN9ee2mDeGIKsaVFTcDDbCfl9O+v2dsB31I5G1RNMdCYkKCjDhQyeeQ3uuEtGraAmiOUa8qBx5BJ8Qb0rznEPJRSRDZTXfaEEQ/hGRQIVrnk0F19kHsKeNZG/avL9tf2jnGR7s+zFJx7Ko/NNaThktqk1BfU9Bx0Z2kUJfWqBVnMOqhY4snm37CluCDYTXD+DdUwVYFYm69MOHGJJYTzaHACjiLCuZgFV3GI0djqtLyWI/NzGF8tRsKh8fA5ICqnOdp4QEqoRLi0L0sWXYjwbgQwwKdrI5RCitKCCRk6zCiCd7+Iww2pPKNmfwpyHrdE713lhBEP4TkUCFa54dmFG6jyGnPmL3LW/AZVRqTNhz9qLXFOxVX9uoPLe0ZDoanD3EovJjnD2USvfTejx0MhZFpT6DGc5iAJJYz8bGY+h+bxe2vZKFZNvEgZ4K35wN5r79mTRnLM0Zg+P8edQL65QoVpmU3n2o2OSc9ONNJBIyBtyxY8ZCKQpWsjlEL6YRQUeO8zMreYhSMv7dzRME4YoRCVS4Lrj5uOIV5obORff3jS/DMH7Ei0g058rlSUiUkAbAqXIrOpybayezkWMsxUIJv/M2t47pzC0P3EzD9T1IW2Fld2EvtuVquYvVxJ4ry/f/ywWeX3eqFhuo2BRS9aqEjIqKL3UpJIl8TtCBp//0KZV6DOQ4SzjA7Gq5bkEQqo+YRCQmEV03JFlCVS7/9/V/eYp09Higw4h8LuGlty4jI3UVBVk7uYVpbOENjrCAMWzGBS9ma26hU+SrZEZ/TNja+3EnmCwOYqOcZoy5YDLQH/uMqujlQqyKzwWvF5KEN9GoqNhdVFQJtBUq8v+rf2ujgjfxQMFRLdctCMI/dvUmEd3/U6NqPd7MIf+7HqjFYmHcuHHYbDbsdjvdu3dn/Pjx1RqDcG2oruQJYKEUd0IoJg3PcxWBfI+5EFo2jFyaYKGEzrxAO55AQuZHRnKntBJ7lobg1K8xYcCBDV/qUknBBceWkM4tfXGWYtDp7NgsFsDA+d6oN9FVbbWV8OeNvRNY5Hxei4OfuFskT0G4Rl33Q7h6vZ7PPvsMk8mE3W5n7NixdOjQgcaNG9d0aMI1bCFD8CCU06zlOQox4oWxzNn7cycYPe44sCMhk8l+GnMHWrsGnV1CPbeB9xZeZiyJrCeQcD5GRsaBHQ1aJGRktNgwU24JOHdWFW3XRIo3erOFN3Bgoa1uIp6OIAqUxKoKRUE0x4NQ3sKzarcYQRCuPdf9biySJGEyORes2+127HZ7VUUiQfgruRzlNGsBmO9+M/pQ54bbktGKDtO5pSU5aDEQSiui6U4xKZSTQxYHWcfzuPAD+bxJR7yQkVFR0KClgMRzybOSXBIwjHMufVFlhXkbX2Ajk9jBB9ioxM9Wh+OjzXyhbcVcbuVbupLIas6w4YJJT4IgXHuu+x4ogMPhYNSoUaSlpTF06FAaNareYWShdjtbup+vzANoFXQ7q7Je42mycWDnI+J4jkI06PmUhsT3D0CTHozHvm5E053NbKUtcfxOMHbm0oSRmCnmY+qiwxU9rjxNFh63LoL6W3hn8pP0LvmCYFoQRnuaMooKuZiG37pRxCTW84IzHjbV8B0RBOFy1IoEqtFomDdvHqWlpTzzzDMkJiYSGxtb02EJ15Ek22aSs5xrLgs4gw9R3MY8FnI7N/MaY9lO3PidpA28hT8GbmSSWM8KXmEMmwH4jp6oqFgpw0oZX9OBstsyqTRmYi6zsJQxdOdNmjIKv96J+Pc7RcLTXTCbi2vmwgVB+Neu+yHcP3N3d6dly5Zs3769pkMRrkOPksgjnORnxmChlHoM5E6WEaT155met1H+9nfgkNE9tpyQRb/iQwzRdKcpo9nGu+zkYzLYc8ExU9lOoT0Zc5mzoEM2h0nkVwBCRx8keNhRyhtuYjvvXfXrFQThv7nuE2hhYSGlpaUAmM1mdu3aRWRkZM0GJVyX8jmGp1ZmDL+xgT+2FQt2zcbXNZubHAVMGtiQkCdOIXc4zmoewUwxmezlAN+ymkcv2CT7r+ziYxZyO2vfglyTGw1eV3HB90pemiAIV0C1D+H+3bKT6paXl8eUKVNQFAVFUejRowedO3e+qjEItcNDdzyH5cC97DozkpOWVbRkHAE0pF7IbwDsOfYGb5yYQLO0AqJbRpEX/jtvpXr94/PE0ofh/IhyyE7W57so/92fCnKr+WoEQbjSrvtnoHFxccydO7emwxCucz46De3MVhyNZ7LObqM4MZk8r2e5PbAPXq6nePuolplFj3Fa3cGp18qJ7xBHYUYhT742iN9WHGL/jsuoL3hOEWecy11ULblPdwCgJePZw+dX6vIEQbgCrvsEKgjVocDmoO+OVPI1MrvSneX06pRNxTNqAY8kzWVzwR/7kO7/5TD7fzlMj2FteHhwfXr3rEevtm9d9rnyOM7beDM8Yg0xKe0BFen/VSASBOHad90/AxWE6iABq7PK2JX+R6LMsGfx0f4+FyTPP9u8/ADzDxTw+ltr//H5rJSxr+/HWIMsgEQiq/9l5IIg1BTRAxVuePFuehK6R/NGjpkpu1JQHApGPImjDwWc5iESMOLFR8Rgx1z1OWullRdHfvGvz1uSnsnWPafx2H2MwsGXPwQsCMK1QSRQ4YZnUVSSvT0wLXmdV1KzmRQ5AbNazAIG4YIvA/kaFRUthgsS6H+VunwjWds7Y8sr+Nu2giBce8QQrnDDS66w0WjJEbR2G0FB7niHeAFwnJ+RPRZxc/0PaBLxA2aqv9iBSJ6CcP0SPVBBAMzFFSx/8DPqNA6jIL2w6vVyxUJ8nS9ZdEzUpRUE4ULVnkBvPRBfrcdb2ezEZbVzOBzcfffdBAQE8MEHH1RrDMKNYf3XF9egPV5mJfCX4zUQjSAI17paM4S7YMECoqKiajoMQRAE4QZRKxJodnY2W7duZeDAgTUdiiAIgnCDqBUJ9P333+fRRx9FlmvF5QiCIAjXges+42zZsgVvb2/q169f06EIgiAIN5DrfhbuwYMH2bJlC9u2bcNisVBeXs7LL7/M1KlTazo0QRAEoRa77hPoww8/zMMPPwzA3r17+f7770XyFARBEK64ak+gl7vsRBAEQRCuZ9d9D/TPWrZsScuWLWs6DEEQBOEGcN1PIhIEQRCEmiASqCAIgiD8CyKBCoIgCMK/IBKoIAiCIPwLIoEKgiAIwr8gEqggCIIg/AvVvoylU1Gdaj3eVq+zl9VuwIABmEwmZFlGq9UyZ86cao1DEARBEP6sVq0D/fzzz/Hy8qrpMARBEIQbgBjCFQRBEIR/odb0QCVJ4uGHH0aSJAYPHsyQIUNqOiRBEAShFqs1CXTmzJkEBARQUFDAww8/TGRkJC1atKjpsARBEIRaqtYM4QYEBADg4+ND165dSUhIqOGIBEEQhNqsViTQyspKysvLq77esWMHMTExNRyVIAiCUJtV+xDu5S47qU75+flMnDgRALvdTu/evenQocNVj0MQBEG4cdSKZ6BhYWHMmzevpsMQBEEQbiC1YghXEARBEK42kUAFQRAE4V8QCVQQBEEQ/gWRQAVBEAThX6gVk4hqM52/L/639SP0wdHkrVpPxoxvUcwWTPExVCYm4xJdB8VmI3DEYJTyCpJefrvqs4aIUGy5+SiV5hq8AkEQhNpJJNBrXPxnb+HdxbkkJ+y+Owm7786q94p378ejZVMcZeXIRgOO8gr8BvVG6+7OocFjaP7rQmyFRexu0RNHeUVNXYIgCEKtVO0JdJgpoFqP90NFzt+2KS0t5bXXXuP06dNIksTLL79MkyZNqjWOmmLLL7rge1VVkSQJANdG9ZBkGYfNjtbDHUmnQ5IkVEUh6o0XUVUVnbcXWh8vkUAFQRCqWa3ogU6bNo327dvz9ttvY7PZMJtrx5Bl1OSnCBjcF1ABZ9I0p2dhCA5A1mjQurgAYPD1BqhKrJIs49WyCaqicHjEA1hSM2oifEEQhFrtup9EVFZWxv79+xk4cCAAOp0Od3f3Go7qvzNGRRA24V5URcGZPFUADEH+bItqTcm+Q6gOhdz1W1FV9aLPq6qKw2yhaMPWqxu4IAjCDeK6T6Dp6el4eXnxyiuvMHLkSF577TUqKytrOqz/zHwmhZOPvsj+HkPJWbKK8pNnADh6z+O03PIzen8/7CWlVB5KqOp5nqeqKqgqB3oOrYnQBUEQbgjXfQJ1OBycOHGC22+/nblz52I0Gpk1a1ZNh1UtshcspfzIccxnUnCtG03hlh00nPMxOm8vzBlZ7IjvQMElepiSJCHJMp7tWtVA1IIgCDeG6z6BBgQEEBAQQKNGjQDo3r07J06cqOGoqlfZkeOUn0jEq1NbJElC4+aGV9sW+A+5FfPZtIuGcM9/HzFxQk2EKwiCcEO47hOon58fgYGBJCcnA7B7926ioqJqNqhqlr9iLfs6DyTt468AkGQJR6WZep+/Q/Ddw1AtVuxl5VXtzw/pynp9jcQrCIJwI6j2WbiXs+ykuj399NNMmjQJm81GaGgokyZNuuoxXAl+/Xuh2GwU/PIbAKkffImKRMSjY0GjASDkwdGg0+IoKUXr5nrB5/d1G3LVYxYEQbhR1IplLPHx8cyZM6emw6h29WZOw1FRyfboNgA4yitI/3w2EY+ORaPXAaBzNTkbazQXrBFVLFZ8b+1BxOPjOHLHeMoPH6uRaxAEQaitakUCra2O3DEe1Wr74wVJovEPM7EVlzgLJ/xp9u35taDWwmLyV66jaONW4j9/F0mjofmvC9ge114UUxAEQahG1/0z0NqsaOM2irftxlQ/jpgPXkPn54NLdB10nh7OikN/mjt0fuKQ3tuTgKH9MdWvC0DBhq0U79yHYrFetbgDowN4Yv6DhNYLvmrnFARBuNpED/Qa5lonjKgxt1PRfTgO3xB8i+2kfvwVkRMfpvXRg5wKjaDQ0xtJkrCXlKLz9MBWWsbp516j7oevIWu1JD41GWtG9lWN+45XBtN2UEtO7jhN+vHMq3puQRCEq0X0QK9VGg0Nt/xK+bDH0QX5ozrsFK3ZgCk+ljqHDjJt+mvEpZ2tGsbVeXqQ/vU88leuo96nb6HYbNjLK2ixfvFVD9033AeA3xfuuOrnFgRBuFpED/Ra5XBQkVmG6uaG3S6Rf/9wbMdOEDDoM86kZ7CgRz8y/AOrmlekpOHb52YMwYGoqoo9L5+yQ8fQenr85Sk8O7ZBsVgo3XOwWkN/a/Bn+NbvhlWqC+wBwBDQhIC2T5C6/J5qPZcgCEJNEQn0GpYyYyb+4x/EMflBynbuQePhji2/EF1oCDOGjcGSV4DhXFtbTj6erZoCzhm4itWKR7uWnH7+jUsfXJJosuRb7MUlbI9rX61xe7eajG+rB/C9yflstvjUCjxi+iJrNOhcg0ha0KdazycIglATqj2BPlnHVK3He//s388cTU5O5oUXXqj6PiMjg3HjxnHnnXf+j09d+0pmf0XJ7K+qvvds1xKdrze2gkJ0Pt4cu/sRoqc+i1ujeiS//gHGm3rhPmI07kVncI+PBpz7iZbs3nfxc1BV5cSE53FcgbrBRccXYwppiSmkFZIk4R7dC/nculXFVv43nxYEQbg+1IoeaGRkJPPmzQOctXH79u1Lt27dajiq6lewbjNHxzyKPjaWyMfuJfjhsZz5aSvyukOYS6wE9L4Fu2wgY+5S6k56FDQyslaDS0zUJScS5SxadkXiLE/dytmfR9PgwaMAqChV72Vve+uKnFMQBOFqqxUJ9M92795NWFgYwcG1cAmFolBRKeMx/nnQ5qOGxeHzeH8A9FExpI68A7c2LclfvJzyrVvpsGE+TXRZeLT0ZOUW5yEknY7Q8aMo2LCViqMn/1M4K9qFEe9moP7609j/345qtpI0ik7/giqpZKx+nLBe0ylJXEVl5p7/dE5BEIRrRa1LoGvWrOGWW265auczxcfS/LfFSBoNGTsTSXn4cewpyZf1WY0ELb2M7Ck0/6mP9r/ZTh2nYvdO9n30HrbTJ3G9dRBKaQnm3TtwZGViSc3AvWUToqY8Q84b71H/uXaUvvg07R6YRP7qDWTP/4moSU/h3qopx8Y89q+vG0Cj0fF51Gt4xP9AwfElF7xnDGiMV0xvzJYsHJV5nPlx8CWPIWn0BHR4DknWkv37m6j2638rOkEQbgy1ahmLzWZj8+bNdO/e/aqdM2TsnchaLZIkoavXGI+RYy77sw9FebPzpijG1PG87M/Y01LJHjMcg86Ba1wk5l+XYd7wK5K5grBHxqIL8MO9dTM827Yg/Uw+D9R/iQSrP1pvT1zqRhE8diTm1AySpkz7F1cLSBp0HuEADE2PYr3fIEL7fn5BE63Jn9gRKynxs2I0BBHc58O/PJwpuBXBnZ4nqMMzRN+x4t/FJAiCUANqVQLdtm0b9erVw9fX96qdM2/luqqv/TzN6PNOAxDx5AO03rMGnZ/PBe09O7TGb1BvAPb16s28+i3ZWuIs1xf22P14de14QXt9cCCx707CGBWBpNPh3aMLstFAkyXf0vjHr2hzaCPN1/9IyDOPEvXyEwQOH0TF0ZNYMrOxpKYjabVYs3KdxRYKi9GFhFKuDcD31j54xPfCJaDJxRclydQZ9B0B7Z6+6K3QHm/TcMJJTCFtKDu7kcLjS0hf98wFbVRVBUnGoYPTrcsoTLp0YpRkHUFdp1Z9b/CO/avbLAiCcM2pVUO4v/76K7169aq249WZ9CThD92DOTefPY27Vr2u9fQgcvJTlB0+TswrfyQZWYI6Tz9I3uIV6EOCMIQGIRudC03iv34fv749qmaj5g7ojdyvJ58DaUt24H9zPFEvPo6tsIgd8X8kUZ8eXQgePRzz2TTsJWXEvTeZitPJSFotlqSzWLJy8O7SnoDQKNJXbiHru0X43NIVQ3Ag+kB/PNq0wBgeQumho+QuXErA8LGcNgQT9/jTBMb4oeYaObvsHoJ99hPbOopVn+8hetRPmHxaY/SpS/HJn3ENbUfB4e8BlbKzWzEFt8FakgqqwtklzpnOptC2xI1cS+ovj1BwaDYnvm6Nx7tbsLq74FH3ZiqOXDxhKajrq7iHd6j6Pnf3J9X2sxMEQbjSqj2BXs6ykyuhsrKSXbt2XbCc5b8Ke3AMkizjEuhPx8xDlO0/ipzZHqt6GJ8Bf+w5+uddUPTenrQ5sA5Zr8dhseAoLSfmnZcJ6P/Hc1lVUSjbfxivzm0p3LyDiuOJqHYHFaeTSfvkmwtiyF6wFGtOHrLJSOw7LwNgiolEtdsp3XeEgKH9qEhOpeBsEelvT0fr5YFvv54cHfcUpfuPUH7sFK4N6uLeujme5bncfYvEov0HyZ2zBzkxDllyw1x8hObPv09aemvqPZGI6y0hlK1OJHFuL6KG/oRbeAcq849TmbGb4pNLKT659IIYXcM7IuvcUBwWVMXZm7YWp1DwSEO8Wt9H4b55F91bjdGLwLaPoyoOVNWBrNFTfva3qve9GtxB8E2TSTn5EeW/fQmK47/9MAVBEKpZremBuri4sG7dur9v+A9kfDWX0HGjkCQJWaPBo1VjoIyy3caqNueTZ+a8H/Eb2BedqwmN0fm+1sWFtkc2cddzT/B7SjtO+/hz9r0Z5C/7FUtaJmkff111nMrEM+xtf+tFMag2GwW//kbbI5vQeXqiKgqSLCNptbi2bIyk0aBxMVL48YdYjycQeOcQfHt1w++WbrhgoRIDeSvXYoqpw/EcM3PvmELqsQwKM4oA56zctkc3c3xtXRxFJrQ0w7rZjo5A0LqgMfkBIMt6IocswDW0PYlze2ItSUVV7Bi8ooi7ax1lKb9z5MNQQnu8h70ij9KkNSiWMgq2Tr/kvXWYi0hZ+QAB7Z9Ga/Kj6PjPVPxphq56+2hSW/qh7zyVymBXlO/f+68/TkEQhGpVq56BVrf85Wsu2DJMsdmwFhRx4ukH2d9zGIrNTtnRk2R8PY/ExyejVlw4g1RVFCSdlh6yhc+nPkWXg99T/uNPWNL+eYH1nJ9WUrB+C6eefoWsBUs5PHwciY87Nw43BPrT+Mev8WzfiuwFS6ksV7DZwIqO5sppzPPnsi2mLeVHjnNo/dGq5AmgcXdF5+mBtutJjs/uSPGpVVizCwDwbz4WF9+6FB1fQnn6dmSdCZ1bAPXGHaDhE+mEfJGDy2srqDTZMIW0ImrYUvxa3E94n0+RZD0R/b7Cq+EdF1xHcLfXafpsGdEjVhPa4x2MPrFoDB74NByK97m2ss4VTVxLbC4qFf4KmptvQ+Pi94/vmSAIwpVUa3qgV0LJrv3s6zkMjasLel8f8pavueD9bdGtUa02ol9/jg4pe9EYjc4JNKqKCsiy8++T8UPH0fToKtr2bkJovWCKc0r+URze3TsT9sBoEl94g+zvfyT7+x+r3tvTqT8Nv/sUS3oWZYePYWjSjJMJMqq7N10jUugQnIPy7qN80nTUJY9tLyhiZ9ObcW/WCGO8C2d+vB29dzQuAU0oO7sRxV5JweG5oCok/TCYeg8fR+8eis0okR9pw1Tgg0uqDrTgEdkNVVXRe4Rh8I7Bp/FI9F6RFCUsBEkG1YHRNx4kGfeILkiyjKoqSJKMYregKs7FPB4NhxN80kRpbgX5deyEJtfH9HgqdnMxRz4IBtRLXosgCMLVJBLo3yg/mPCX76nn9thUrTaUSufzTr2/L0Xb96Bxd8e9cT2shUUceOUDthw5yk/zdnD2UOo/jsGSmU3F6WQqTydf9F7lyST2tP2jtmzI40+RY/Snvns2yYoXq0tiSXNz4Yn5D7Liw185tTPpomNYM7Opt+sXAHZ+tAXbitlYjy0FIGfHn5a7qA5O1zmKvp4X4Tt1hB90wVAmX/AMWJIkFEVB0pvI3PwqeftnEnf3Rgw+sRz5qA55m+4lY2MYcXetQ2P0QlXsSBo9staAZ/wgVMWOV1QPHAbI/nIYgXVH49JgOEigMXggaQ2odvM/voeCIAjVTSTQanBmynucmfIeSBLe3TtTvH0Pbg3jabrie7LnLcFeXIrNYv9XyROg4ujJSz4fvZT8qc8zYaXEPjkOm5tMkuRPhGcBbQe1JOdMHqd2JqFxNaHx9MCakVX1uWNjn0SKaYRm8MvIGgnrsb2XPL6y9zfCyrtgtBswV9iRLQqSdOGvkSzLxI3agKzRU5ayBWtJGrLWhRHvT2bg+GDeGbGI/R9HUv+BBPQeYaiKHSQN3vUH41VvEAmfxiFvfBlr4WkMrSed2zxcQXVYRfIUBOGaIanq5Q+HSZJ0UePVq1fj53f9Pp/Ky8ujT5/q3x3EtXF9Gv/4FTpvL6zZuew8twzGmQyu/BCkx9gHCX/mUdzdFCoO7Kfy1ckkH0wBD0/aHvoNSZbJW76GtM9mXbCdWczy5QS2imF3o47Y8gsveWy/b7MxVRjR59lwM7uiOKzIGv0FbVRVxWEp4cjHkWA3E9RlCh3HjKReg7Ns2tCUE8vfx1p4kqjB32PLPYLOvxGVOUeQNHpOzemKwSeOioxduIZ3xDWsAw5zMaCSv3/mFbxrgiAIF9mrqmqrS70heqBXSPnhY+yI70jYI/dhzXVOyvEN9+HDw28w75gnh+evJ2v2DzRe8i05i5aR/tnsaj1/yVefkfDVZxe97tEiCkd5BZJOi1//Xvj178XvES1QzBYALOuWUVLZBntp2V8fO8BGhcWBPu0A9nRw9WyA7BZ4QRtJkpyzau1mkGRKEldz6tgTnD4VCkBo10lU5h4n8sBUlhiW8PBeV+ZaYvCsN4igzi/j3+pBLMWpqPZKTs7qhGItrca7IwiC8N9VewJ9r1H19q6ePiL9bZt58+axdOlSJEkiNjaWSZMmYTAY/vZzV8Ofl6oodgdFRWbKYjrT43lfWk/uwAJHPcwnT5N+leLxvrkjWnc3cleuxf/WnhRs2FKVPP2H3IohJIgjIx4AxyXWXQZHIvmH4vjiFZSWnfENG0D5mXkUb1pARJ9PUZGQZU1Vc43Rh+Bub+Ia0hq3iI7YLaXI2vM9VRUX/3qU5gWSq/XD7BVFnbafIUkylJzFYS7G4BmO6rAha42XnUBdAptRmXPYuc50+Nfo9f6kfjcQR2Xef711giAIF7jue6A5OTksXLiQhQsXYjQaef7551mzZg39+/ev6dAuUphZzCORj9M2YTOxAXn4mhTeXP0Fr075lmNXKYaUd2dQuGYTpfuPkNWlHTFTn6Xh3BkkjHyI0PF34968EemHCzCvXgz5WRd8VjdlFnJ0A2K3GTk9swe+o4ZiDxxAaaUbkkaDc4BfBZx/9LgGN8c1uDlwrryfYj93IAfYnIk22b0JDY+fJrjrK0jnPmfzDUdvUTgxuxuV2ftRHZbLujavBsOIHDibohPLsAzpRH6ADo0FPA4PpHD7139/AEEQhH+gVqwDtdvtWCwW7HY7ZrMZf3//mg7pf9rVrDtTo+/joy6vsfiZ79mY89fDpdXB++ZONF4yC32gP6rFijklHfcWjak8loRLZB1McfEAJIyawIGnp6OOnoxh+nK8OrcFwCO2DzF3/oL0/af4lqfiNT4FvY9z4/SKzL3kJcxFqfgJo/cfE3xUVal61luWvhtUFWQt1pIMZ/I89557WDt07iFIshabwU5upIWM+pWYjRJIXHbyBKjI2E1J0loqypIo9Nc487gGivbOrY7bKAiCcIHrPoEGBARw11130b9/f/r06YOrqyvt2rWr6bD+J9Vmw1JaybbdyXxwugCrcmUnFXnf3AmP9q0JfvIR2h3bQrM1C2m6/Du82nVH0spoTL7U+e57pO+OUJ5bjlpRhsY/gMaLv8GtSQM8YvrgXucmtEkpyBu/wJyUTEXaAQ5/GEpKTDaGz7/g9M8volj2c773qThsVUtb3EJbI8kyWoM7eo8QZ1DSH+0C2j5GRfZhdFYtfsl6whJcMFg1xN29gQaPJ+HX+pG/vUapYRuslJK0cAA5u95HddhxS9hGxZBIVKuYuSsIQvW77hNoSUkJmzdv5ueff2b16tWYzWZWrVpV02FdU85MeY/k9UeR+o3GzcsNQ1AAlqwcbOXOZTVafx1BjduhwwzmCqxDG6B9YySZ3/0IOh3pa5/i2BeNqUjfSdqHX7K3Qz/sBUUotgo8Sox82G4D7256CWvFH4XhJb3z6YBVc/GzVGfPVAFUZI0OAHtlPigOFEsZsk2t6r3qXYLxbzuBkG5vEHX7j5xP0H8mRcSh/3AF2ufOTZoqysXSL4L8xweBuWZqMwuCUPtd9wl0165dhISE4O3tjVarpVu3bhw6dKimw7qmqHY7Psc208g1m4jfF1GZko4hKABTvRhUhwN7mh5Hjo4GdSpo9cYbNH40Hf/mM/DqOILmq+eh/2Ax6vQFBHV7jfBze3/qPSOIGbGaCI/bOXU0nMU/3IJN+qOnJynOXy0Xva3qNW0FeJ1xYHCU47vzZbJ3fuSsXFSegjZ7N5KspXneagzYkSQJvb2QMs0xEuffgnt0T9yjeyJpL54cpmaexb58FspPf9qXVLncLcoFQRD+nes+gQYFBXH48GHMZjOqqrJ7926ioqL+/oM3AlcPAAJGDKYgr5jcJx5k4f3TOfXoi+QsWY1rg3gkjYbI0GxcmpVh9FFRPDVodCbcXeLIqDBRnlCJYrGiMfkR0O5xvBuNAElD4K1P4hbWDkvhWZYuaEZutgc69Y8i++er7VkKLRz/ug2VuUcJOq4QnGjDqnUj3gTZv7+JXJKM1TWCPs1ag6oylINMyPoQzZGv2HmqB0GFGureuZGSM+uQNfqqerkXsFlxfDQRZdf6q3BTBUEQnKp9Fu7lLDupTo0aNaJ79+7cddddaDQa4uPjGTx48FWN4Vohe3gg6Y048nLQjHwS7ZjnsD7en+jJT6Pz8WJLYCPn5J1tuzGnpNFm3zo6yScJMFlIrChna1EdSi0K3nemYUs1EhRdTsMyM0dimhB8SAvIqKoZr0nvUWd8L8pWFGAgkqITy/CI7V21U4xZ78BglWnV9hg5BxdzoiIfF/8GHC1dS/qeicQkv8MyWx2aPJmFw25BBva4tQOHxLuBz1Dn94coPriClC510Zr80Wm9CWjzKMBVKUIhCIJwOa77ZSwA48ePZ/z48TUdRo0Lnv8z2rAIUlo3QE05iZJ2GopyOTR4DLLBUDXzFcCSlsnRex5DiffE6+6RBIXpaOibx/79J3Dp2hZToLPOb3bCcYylwXhYfbFp7ThK86kMiiC32ECZm4o/4BU/AMVhR5UAVAxWGYNfGTf33I+lUyR6n+m0bD+TD4a/gyU/jdQd02ky9gfKy6BxizR69t7Lgu9upiLTjeTETWzetgSv+rfTJ+oNDFpvbBUFaF28AdDoXAHQe8dgK00Xpf0EQagxtSKBCk7lv65EG14H1WpB3bICZcsKACr+okpD/sp1/L4SpA9+4snlEznZ5m5MYQHsaNCZ+I/foOhUNjmRfdEEu5FXUUmhWx4Vz/dGtdtJcp2DdOIoxZ1uI+SEK6ZSLRYXB+VyLkbJFymvgtlf9cbhkGjQ6CxRDYtx9dBg8I0n6vbFRMekkpnhS3qqH+vXtECSVcpSt5Oy9E4097yIi39fDJpwgHPJU0VVIazXNMI7jaK+pONMQQ4Hfn2eyuyDl75AQRCEK0jUwr1CtXCvRwHDB2I+k0LJrv3It96N9uE3aNGkBItNQ8I+CcndC7W8FEmjxSvJgS37BOXdWhKSYMQzW0d+QBlpT4fR6Il0bK460ppb8U2SKDCk4qFxI2/XfBg0muh9nhgsBiQU1HOP4Z3bwDkoLTxE+u1xeKZByCn3S0SpEuVzlp9+H8J+l6bcrowgaeHAq3ujBEG4kYhauMLfy1n4s/MLDx+ksBh0DgmrTcZmk7Bv+wVN805IfsGggNboArpAgjYUYlR8cGg1qOt/RvX2weKlRZI12FxVrO4a7CGh5OlBU9QWh4sLOTEKHXekUVpSh5ywSrSq89dQkrW4+zQncpeCS7mmapu08/9WFAfW1KWERuWyxKM7y87kkJ7wVA3eMUEQbmQigd6AdNOWgkaL/cOnUZOPV72uueMx5L53oWanomnWifCdJo5qdKha0N1yB9aJQ5FC6mC65SH8M5uSGuFNVh09HluOU9I1Hl10J/z7vEVWnBljioa6m9yQHColgXYkC0RUtiWjoJL43T8hbZhJ1i0/UhHog8vpDIxuYVhL0tF7hOJSrsFuKUNrcENRHFX1dWVZgzawBwN6fYPcJ4xZ4Z/U0B0UBEGoBctYhH/BPxS3xo15Z98r9HqiPzrDub+jAkKRgsJR1i3CsXYRFmsOwRt3otqcE4p0U+ege/w9zGUppKXNpTzEhIQOtX4DAGwRXoT1bYdFkikNVinyM+PQg0eODo8UBV25g+gDXmRm+LPDtzcGlyC8s/UUJM3lyEdRFHhtprRPHh66EjR6V1RVRZYlJIow5yfisJZhKTjFhH6f8OKDC/ji5MeMOrgM2cu7pu6kIAg3MJFAb0Bu0z5hSvvfCXcppdW747npqQEAOD6aiPX2BmgG3INaVkRGZzfSOzZG0umdzyj1znWeUuO2lN49AMXgQNVCpafj3AxfmTMLNoCqoOghp6Gd5FblBJw2oLoYKAvToioOPGJuIbjzS5SmbaecYwQ3m0j03cuwlCbylTKHtZ1fpm/QrnOlACVufWQzx79sTMIHAYzq8iWd+jQkuE1dEnWR7NPVw6Vr95q7mYIg3LCqfQh3fsuiaj3eiL1ef3/O+fNZunQpqqoyaNAg7rzzzmqNobbRGrz4bXMLojucAoOBIsuf1u7q9Mh1myGFxmD/9k209zwPUFXXFkA2ujifS2q0kHgSe0wcAB6nrRRaTGhUmagdLhTUsWLRVJJet5LSMAeV7hIuiSXo3Z31cB3l2VgS3uHWp55k56bG6Ise4+iKYbTtGU/K4Z+pwAODZwDf3PoKAN51e9ClX1Na92nOB2/8wrrjdsoj9FW7uAiCIFxN1/0z0MTERJYuXcrs2bPRarU8+uijdO7cmfDw8JoO7ZqVu2s6S/t8giSr+DWJIXf/qar3JKOL8wudHtVqrZrA8/9JioRych9y/RaoqkKdnQbsRi0lHfuAQ8HirqIvhbz1rxHhOxDfqM5oi5MoSd5Fyelf8W/1MFm/v02vu4Jo1yaFwpwg9mzxYsJHm5jw3qZzZ/kAjbsbrg3qAqDxbsa7c4fy7F2LGD+hE7fVHwx6PVitV/qWCYIgXOS6T6DJyck0atQIo9E5vNiiRQt+++037r777hqO7BqnOlAdXJA8AfANRi0tQnL3QtPjducsWEU5tx2Z7PzebkPS6JDrt0BbCsgacmJtmP1wViPSyKQ3rESSJOqlvIKLVoOXsZT8sjiKjz9HQNuncAtrQ+ydv/Dr55Fkn8nl5NFFlKZdXMM45s0XCRw2gIP9R5Gz/T3WJCygTeiDnCkfROfb97Hlx6VX5XYJgiD8f9f9M9CYmBgOHDhAUVERZrOZbdu2kZ2dXdNhXZ98g9C9twTJ3QvbN68jxzQEQJJl54bZ53qiklbn3BTFoSLZHASdNGB3bg+KJJ9b13lsL5a+YVgzDlOafgitbSPm7G1ED12MufAU9soCtEZP3Ovfy86f9lJ4/FfsZZkXhZQ9dzE5PyzjTU0Jd4S6MWhSV8J6hpFaGMCZ05VX5bYIgiBcynWfQKOiorj77rt55JFHePTRR6lbty6yfN1f1tWl0yPfejf6mZv/SJLBUagO51ZkankJzu3HLtzhRJXB5qMhJ9qMNrcEKh245EtQUYly6HfQ6kj8vgel4WfJUPthCGpPacYOihK+J9zDucm1MaAp8rnyfJdSvH0PhqcWEZP1Eg9ERBA27HZcXawE+e+i4NTGK3E3BEEQLkutyDQDBw7ku+++48svv8Td3Z2IiIiaDum6It80CN3j7zkrDSkKan42auJBJI0G1WEn0qChpW8WkxpvqfqMs3KQc99OqyeUrp6GZUAwpcmbwOSC9o7H0Ay+H4CKpFPY3O1IzmK5eJmS6Hd/JG6mHPya3k308GX/M746lvHsSBrN18fj2bhOz+K5nnz+/dP8sPO5K3dTBEEQ/katSKAFBQUAZGVl8dtvv9G7d+8ajuj6orn9AQBU1bmbCu6eKMu+xdI3DGXMzZSfdrA3P4T1yTGEGgud5fwkCSrLoaIMx6HtKHs3MvC5AdTLWed8ZqqoGE7n4DZsJJZ7HuZMXSsVHnZMfo1Qw55h1oQ3OTWrA2Upv1ORue+ScWn1WtoMasEW18kUT3yfPke7MSVvJTuiWrB3zv04xMYsgiDUoGqfRHQ5y06q27PPPktxcTFarZaJEyfi7n6pGqrCpUT3aU9mbAMUVcWxZCaa7kNxbPjJ+abNil/9u8iP9UC2wrHdYRTUAyw5qFYzEnqUB3rjMIH77C0Ma7+azw7Eo53xNT4dJ1A46lEMx36FSi02FyjxsxFQqCe0WTsyVr6Hw3MAruEdkONb4mpOIDjqLlJXPYClIBGA7vd25p4PRnJi2ym8Q6zIXp7MKrVQqJoorNSweeXhmrtxgiDc8K77WbgAM2fOrOkQrkt1wzxpNv11zNpkdmcEkhsWh9HmRoXRDdw8oKwEo1cMnllazC52SutIYDEj+QRARRmY3Ah8bgNpUxpSuWsLk1YdJq13f5T2FeR6poJ/NEpxL2wGkBwqyuwnSZN8eGNha7xefYWF38ZzJlWiJBx47l3ctrnhGtYJWe9OZdZ+jmw8jsPuoLLMzEc936FRtwZsmbedgIXLecHfnWO/n/rbaxQEQbhSxG4sN/BuLG88eQsFfcfxtaYtFXY9htRSok+FkB9mJTuuEuuIZuhsOhpMOE5mXAXF4SrSprVYdi9H//RHyKpC4w0r2PXW2KpjSnXiUYvz0c/ZDQYDkiKhs2gZ33wnEfo8Zs4YStNOx+jb6SAVJRbee6k15S3j0JpVyhe8ile9wbiGtibhk1hspelotBocdscfx5clpie8SUCkH+MinqAkt7Qmbp0gCDcOsRuLcLH3fYcTpsZRlpqF5OmDLcAdD3MWJfXL0eeUYa0sxx4UQULxx6jLklBz09BNmYVGKUP7bF9a9+7E4SW7LjimevYEGF1REnbje3NbDCbQl5VgL7eQtCuWTlFJrJbtJKR1JHtvKm3LnkVfNp2ThbEUV2STu/sjKrO7YCvLArggeQK0G9KKgEg/CrOKRPIUBKFGiQR6A8v/4i1KmqxB8tNi7ReBe8OGhCz8gJ3pTXCxZYK5HP0Xvzln3JYWYRvRHKmwGE23wTSJsWLOHkn4EBcK3/NDsZUjxTRyTjAyudHg5kZ0q3OMVflx6A5u4JfXfuUm9584Kk0i22sTRQPvpGTmDJ6MsdB2+0j6WxtwIOEHUBWKjv34lzEf23oSu9WORqu5indKEAThYrViFq7w76hZKdjnTcf65EBQFEoPH2bh4GdQ0xIpfX8KKAqOHWucM27dvTD0GY9vgT+6zGIGDQik002HyK9Tifzi52BwQf/5BvTv/YSalEDRwUOUlWvx3PwzRx98iBNpS5mTF8uRgQYc8R0omTsH7fhXeOSsxCsJ6axftQBU5aIYXQKaYAptW/V9UVYxD0Q9xRONX7yKd0oQBOFiogd6A5M79kF37/PYf/DAcXwvAOqJ/Vjv6eBsYHLD/t17aNr1AkAZ+xjlE8diydyNX+LzLNPWJT/cgTasM48fnMaixbO5vYON5e1jSVy0hO+jPsa+b4uzDKBvEPqBvfG66248VSja2RFzRDsO+8VxcOuJv4wxZsQqtCZfDrzjidE7FnPeUcoKyq/4vREEQfg7IoHewJQda7DPfBXHb0v+eNFoQvIPQU1NRPfBcqTIetimP43k4YuafJyiY6sB0GlUNBuDiSty5eGJq0jJi6S9fi6t23XDdcpgsnOtJLoeZuPa+eDlj2HBIaSkHDQ/FWIf6IG641esUyeiJp/AJbA51pKzOCoLLooxfd0zyEZPgjpMJKjTiyT9NByliRuVm9bjyBElGwVBqDnVnkA3t0yp1uN12fv3VYVeffVVtm7dire3NwsXLgSguLiYF154gczMTIKDg3nzzTfx8PCo1tiuK+7eyK1vRtm8DOw2ADTjpqBp1Q3l+D5UV3ckkwea4RPQdOiDY/8W0GhRtv2Csup7UC4cXv3pzeWoeGAtDkIvK5zIsLPps7UMergbOcm5+DWIpXWjNH7v1BvHws9RMpJxV+qik7Wkb9yNZc06PN2aE/7UVjR6V8rSdpK6cmzVGtDzChPmA+Aa3hHXsI4Q7YnflNcomTebgtcnXZ17JwiCcAm1ogfar18/hg0bxuTJk6temz17Nq1bt2bMmDHMmjWL2bNn88gjj9RglDVLP/ZVpL7DsfkGob3vJRwzX0Fy9wIvP/TTlqKaK5GMLs5SfooDTfPOqKqKbdxNFyRP3Ycr0LkYyCspInmPlbRfhnFf7EzUnatxJOUw2m8ClnILcngMHT5/F9esY5htVmyT7ibvs9XkxhqABkj1WxISPRmN3hW0DlSHhfrjD3NyTlcq0ndeELsuKgazOZn0dc8QNWIJRbM2UDJfrP0VBKFm1YpJRC1atLiod7lp0yb69esHOBPsxo0bayCya4Oh53ikPsNBVdHePwmslRAahVy/JY79W4E/9gGVZBlJ1mCb9Ta2yaMv6nkadEF4esewu9lN5N7bE+3j76Np1gklYTcAQTEB3PbWKLqsnsPDNxdw932xzuO6eaDqXAEttmmPQ1EetmMPwsBEiu7IR9L8RlnGNqyFSVXn8hvcl/hvPiR0xQaCv1+MX+tHMLiG4edzOxqN55W/cYIgCP9DreiBXkpBQUFVgQdfX9+qerk3EqlZJ3SvzwO98fwrYK7A9sIIpKj6SP3vQRsQdsFnVFXFNmkU6o41Fx3PLaIzsWkNse1bRLunYtiZG0J51hHKVxegnjkGwJDn+9F2UEu+TNGxYlUGv7+zynnchF1Yx3ZGLS9G7ngruqnT6Rx9mIjfZ7E6dgQ+Ddw5NiAWabsvdTOKua+OF/OGD8S9WydO/7AJx8EMQpo+hl0tpWxAJb71PiBjcM8rev8EQRD+l1rRA/07kiRVbdN1o4i6fxSur31N/6hkWvqkozoc2JfPxjooFvXITtQjuy7+kGpz3qtzvU7P3gPoMed9AqP8ATArheQE5tOwUxbDo45xX50dfPFhPPrtS9GMeBSv7jfx/QuL+fiemfxWry3f3zaJ0vxSeo7rilavRaNUEjJzFu4mGwGn1mA8toXy5du47+j3HMrJxHL4AI68XMbW8WJinC91PphOZoELhvZdcZQXUZF1gJTFo6lctQ7Hlr+euSsIgnA11NoeqI+PD3l5efj5+ZGXl4e3t3dNh3R1GF3Rf/ILxbF1sNmMKOQxNPI4O1+bgd+Bpdy/4jEWTF5C4pli5+4rEjj/jlJx7NiA/YOnoDAHAMeEaWwxejLggb0senYuSvsu5DfUc9bYCThKxvKVVAR4Yhv0MNoWNxFTdzTZkycREW0nu1UkibvPMOS5/tx8T2fyUvI5mmdCX7c+nV8axuDoLBY+v52fVu+ldH8Sb9WPJumDTwB4s1Rmb5GZVXkWAg+fRdcwGs/xEzjZNRyAoISXMAW3oDBgOtYcUQ9XEISaUWsTaJcuXVixYgVjxoxhxYoV3HTTTTUd0lUhNWqLVCeechuAypkCAzGJ+3AsmUnkkJZEdGxKyTO3I3//NeRlE97IhZxCNyxWCblNDygrqjqWaf4kbpn2AOX2RuAXjJqVipKWxKlFbzFNl8bun/eB0RWpbRr6Hcso6VYPz7xk2kx7gt0tn0Z6dBxL31lJ2rEMjvx2DJvFTupNrWjzcGdK7u3Mwc3HyelSFx89JC/dXnXeQpvCwswy3Ibeia5hNFKehOW79QAERvnTuul8Wo5IZ+/gV5jb5s6re4MFQRDOqfYEejnLTqrbiy++yN69eykqKuLWW29l3LhxjB49mueff55ly5YRFBTEm2++edXjuupMbsgd+/7pBYnDC9Zy4JN3Adj5015SpKUUP/A5ct0mWO9sSkbPPjgmzsbbvZys/h2R6jYHFxOagWMpMJezZ+JUcvpPQj/3HrDbkPQGioObsvtr5ybYmntfRDt4LI4Vc8jamoA8aCpzFp8mNao78e9Oo0XaIuY9+hUA8R1iefz7B/js/m/4YcpPSFoXevc4gGfhIRQu/AMn4OOvcOnSDdVqoW58GRn1jpEO3PLgzfR9oBmqWoIHKsjyRROdBEEQroZa0QN9/fXXL/n6Z599dpUjqUE6PfrFJ0CjRVVV1Jx0HEu/RFkx54Jmed0fQgbsc5xJteLUGdy0DmRzCeRmoPtyE5KbJ6rdhpqfxbHXx6FRm6K57UEkN+dMZyXhj2UmyoYfUeo1R9PvbvRaM2V2Iz3qWTk+7RvO3HovcR00gDOBunm74h3shbufGwCqYqMs+zC5WYcuiFHSG0CWUUqKMfh40Cggn4g7WlLwfSQrfzxOfmw7EioDoVlHPO6+j5JZYkmLIAhXX61IoAIQHoek0XLuoSb2Hz9D0+lWMJtRVsyqauaY/TZK/ZaQk+Z8IT8LS0oK2Rt/BkC1mJHcPJG0OtS8LDCawGDC/sUkcPeGs8dRd62vOp56fB9SRBwALrKNQLdyduSE4tm9PveseoP5v6yqart35UFGeT2A3XpuhxXFzqnZXS66FJeu3TF16UbJ3FnkH9zHpo/fIj7jBE/un8auVBO7yhqABVBVrGeSLvq8IAjC1XBDzMK9VkiyxJvbJ/HY9+Or/di6Nxc6k6eqoFaWo5vwOnLTDsitu+Fh0lW1U3auxWNPCn4tHwLg5UVjedQ4G8e3bwDgmPMO9qVfoRTkoJSXINVvhfaOR5Abt0dZ9CnKn5InsgaMJuzvP4GSl0lRUirxhbs4XBTAmKSVvHHmV4bb86ua6130NOgSz/yKmbQf2vovr6Vyy28UvP8mJbO/omLlzySMGs+uNclUqhq8/I3O3WE0ABI6F2/nMK4gCMJVJv7PcxXJGhn/Or74hvpU63HH969Pp/ztyOZS4la8h2PhxyinDmG5pz2TM2eS+/M9NInxrWof1vMdwnq+B5JMeINQQuKDAXD1MqGs+g5ly0pknwC0bbqjpp7E9sq92Ge+euFJjSb0P51Ev/Q0yp7foKKMWBcDP335FksL38FzTBC/DujAzOQiAB74Ygyz8z7Fxd1IWWE5ljJL1aH+/xIjtbKSiEXf0rYyDwCfZydjH/4I73d9i2Uz9uPIzUFyABL4TptG9IwZ1Xo/BUEQLocYwr2KHDYH48KfQFXUajtmvQgvPny4E7K8G48Bj3Dyh+PI6WewPdANgNPJGk6mhlBYYq76TNf2c4lsXpe8pUE8GPM0qBDVOpY3Nz/HsvdXM39eWlVb7djJOI7ucRaY1xmgtADMFbjedgduwVoqc4poM/lO9I3zyS8LZ2vPjhwMjiPX3YdZ7n4U2JzDtRkns8g6nUPC5hOMDXms6vhv7ZhEcFwg4+s8iflcUg130bK/axRaWSJi2XGyX3wSXXgdyrfsgC078P9gBtpetwIq4fpirE3jOBsQKIrLC4JwVYkEepUpjuqZMarVSLgadUiShMOhsGDDaSxmC7rj+1AykqvafbfuNKGP9qfzY72Z99JiADZ8+i1NezUi81Q2DrsDKbYxlmnLychcSeqRdNRje3BsWIzc8VY03W9D0/02VLvN+VzU4UCzfSX33+NDupTKzfWS2N/9DtyMDsrMhSzoOILAylwaWDOZdzaWoJdfo+K7T1g27ReWTfvlgmvQGXVENo3AYXegSnpMIU2pyNiFr16DVpYgp5yBisonRw7hOfYh9PH1KfzgbVy6OisQWc8mk1UnFJtHLIHfzCej383Vcm8FQRAuhxjCvYKM7iZeSvmCCRunMk+C0dV47KOz7yB7yWiKy6xY7Qq33RQDqortmSE4Pniyqp3OqKVB57rU79oAfAMBSNh0nHkv/ojD7uwdqhVl5KUV8fRD29gyfwcoDhzzPkQyGFEddgA0+nPDrLLM9Ce07DNHsbssnK0FEawaPwNFATejg9RsF7yNCis+34zargcjp7Th9nVvE92iDi1vbQqA3sNE43G3Iul1vDlxC5O/0+Hd6RXqjt6Ee8wtHCi2ELbyBKO2pfANIOn1mLp2x6VrDwBsSadQVRVdRCQ29ABIrm5Irm7VeIcFQRD+t2rvgZ5udLBajxdzpOnftrnUdmbr1q3jyy+/JDk5mVmzZtGgQYNqjetSujYLIbuwkmNnC3l3wTi8b2lNkacP3iE+9Av3pU5eCbsDXDmdXorl3NDmv+VwKKgqOBwOnvliOxr50qUKzWUWxkU8ifrxOvTfP4C1f2TVdmZVMs4QcuI73O69ieNr59GrRShl2dlsvrs1+q+2otHKBPhbUCQbik2ltNTG7rRgDDobc3v0IjTGF6l4ODZXDxp4ZWFXVSK6diLJUkZLawrl3naaff8AAVH+PNH0JaKHdqXt1PvQuug57NEFTVw/5MJHMZ4IoTLrAADpNoXvz8dnsZDarS2qxQI6HTnjRxP22y6kP00e0gUEErHjMIWfTCN2+y+kJp4lt+L/XacgCEI1qhVDuJfaziwmJoZ33nnnqhVQ8DDp+PXdfhSWWnA36dBqoOzAfpY1a0WjjDQOvzOAunqF/e4GCkvNBA2Z8/cHvQRfDwOTx7Qiv8TMsClryS4y8/XK4//zM+ZSM/6J28g/sv/i5HlO8F23o/X0YNiPX/Gt2040J7OJPdmCTL0BSXJgr5DQeyjYVJlDlmheabqJqdNzwWalUbf6tDUVsyerBGtEBN6WYoLjHew9agcVbEZ3UoxaTJKe0Xs+JV5fSmF5JmeXb8eeuQbH99NQzxwlmQV/eQ1KQT7a0HACPv0afVw81uTT6OpEXzgBSZKof9+97PA5xG4lnjZvr/xX91gQBOFy1Ioh3EttZxYVFUVkZORVi6GkwsYHiw7i7W5Aq3HeVje7nRF7dtAoLZVGHjIe7gZUVcXb3UifNuH4f/gF4b8fQHJxuezzjOgex/j+DWldL5Do0MvbILzr6I58+KwnPcuX/GWbY+OeIv/X39irxLLREsFP5eHkdb8Lo2zB02jB11hBvC6L/DwDAcZyItxKcf/hNQDWfrmRmRPm0CxQIs6Wg06xc7zUE2+3Crav0/FOcidSpViOJpdjdfOgoFLFkJdHZesBSN7+qGeOOoPQ6avicR14G4YWrQDo0TKU+g3CCfx6Lvq4eOfw7f9LnqqqIkkSeQZ3FkTdxErTKPzf/hSNX8Bl31tBEIR/olb0QK8VL3+zm0eGNK5KoOfle7pjAUJLyqr+p9+vQyS7rRbUykpQL39W7ndrTmJ3KOw+lsPBEe+guz0A2+P9/udnDq07ytYFO9n/y6GL3gtu3wDXIB8Sl2yl6LdtyF0GMODlr3jO/UM8XSQiKk/QrI0V/woLMa4F3Ox1llBTKRUlZopzSwHwDPRg7CejcFitJP6yB7f27Zld2obKCg35nhraFieQ7RvKmvvnoclKJe9IMnKbbgxY8zZyxXB+CumOx5hx+DzzIpl3DsZ91D249RmAo6SE8V/fR6t7bucdz5uolIJwFBWi8fJGtdtB6/z1tSQnYQgKxM0VynDl0197kj65Dv4ZGspbrKRizaqLrlsQBOG/Egm0GtnsCul55dQJdK/qEaFCqdFISG4ekgSbTzQnIdWPyTO/pbh8C24uOgJNWrLMf398AKvdQWJ6MftP56MJiULyC/7rerCShEanJfdsHp/cc+lyd/0WvIh7eAAfufXHXmFG2bIclxkPc/9IIy/wFi0eXsRnKcXMTPsQg8aEr5qHLBs5uDaB8sJyAGJbRyFJErJWRlVVorxtNHZkIeHg9ylTOZKTSch9d1K67zD2ChuGV2eh7llLvtUVjaoBrQ5HXg72nGyUslKkc+UIHUvn88zwZlCRyESPASBByYLv8Lp/Amg0VdcgyzJNQgqIDaxEl5nBlycX4GX9GHvyCirWrv6nP0ZBEITLIhJoNVu/J5V7b21Q1dOUJIjOdRYEsANd4vfTJspB24h+fLr0CM/d2Zy4MC8CBs2iuNz6P49dv44Xi1/pRUyoF6Pf3MCCh7qD9NfF1AcufZU6vVrwRfBwLEVll2zzy5h3cQ32wV5hxj3cn9GHvsTXU4tu1VK+M7Wk8J1+yGPv4oGIJ6jbPgaTp4khz/Vj4eTFVcc4bQthzq8KzWIlwlvXx6RYGBl0GBwO4u+NY9ESFypb3Iqu4WrqNgvjdPu+xPVsQcKvadjCm4BfMOUrllK+YikAuU88CFotRk8T7xpvorjrHVRqtDiyMnHt3Y+yNatw7dUHSaOl4vfN1ElfT0GSL+bhnaGomMLDqxnktgXvcXWZ8YIb5oLSf/hTFARB+Hu14hnotWTVzlQAVmw7g6qqKH8antUCFkXCqNfQoq4/X0/sRoivKyu3n6XcfOHkHv86fuiMf5Tg8/cysuvTIcSEepFTWMGmgxnOxHlumcmlFJ/JpPh0Jg6rnbAuTbjp/QfQGHQXtEn97QDH520AQGPQo3UzUZhWwOgv9vDhcS36hk2RPb1w2B0c23ISvzBvYlpG0rJfc5AkXMKCqf/aa2xwHcjH2X1x9/fErtVQmVeCKsu07NuE6HZ1kVxMmEL9GXlPPUa1OsKd4btw/fpFAgu34t+m/sXB2+10eft+cl9+jB/8O2K1S8h+/ugjo3Hr3Q9Z4/zbz9S2LZ0nj6Re3+bM8BvE+w0fRaPVUL5+G3tf+VYkT0EQrhhJ/QfP3yRJuqjx6tWr8fPzq9ag/qk/b2fm6+vLuHHj8PDw4L333qOwsBB3d3fq1q3Lxx9/fNFn8/Ly6NOnT7XG8/GjHdmWkE3/DnW4rUsMJ1MLiQn3RlZh6rwDvHync2nO92tPMuuXE2w9nAVARIAbKTllBMcG8sHh19nz816+Gvs1RWVWMqcPwD8pD2vnGPpMXcemg5n/KKZBy6YS3a8d37d6iJx9p3AL9aMsPe/ihpL0xzNZjQbZwxOlsACApj0b8vC3Y3H1duXolhPs0LUiMagDbY7NpXGnukR7FGG32DEYteSnF+AZ5MWvqV4smTiPETPuwDXQixV3fkioaxkPzBiNxa6ywyUGk1ZhQefHUR5+A31cXSwH9pJ9/ygCmsfSYFRPdnyxHjmqLgHvOTfctqWdRRMQjKx3TjoaUOcE2yZ9yZ73fwQgplUUr295kX2rDvLObRf/zAVBEP6BvaqqtrrUG7ViCPevtjPr1q3bVY4E3E06xvVvyM0twmh+/yLScsrZfyqPDx7uAMCMxQd4bFB9PF0NjOoVj5ernpzCSto2COSrZ7ry+vd7GdAxiqKNe5nqY+f1JWNY9Nsp1h3JYnBBGQu/30dWQcXlBeMbhPbhN3Es+Ig197+Pf9MYcvadIm5IJ/r/OJn1D3/MwRnLLvzMn/+gcjhQLDbw8oOiPGJbR+Pu686JNAVrvdbEl9s5evI4Pz06g6C3BxM7pAl6gwZVVTm0LoGbRnVkL83xe6stB798CVPzlqSOn0Paly/S+pdDBPbrgkmrYCkuR+tiwC3UlbjIUk66tSFHrydn3yly9p1yxnL8BBkZaYTMW4pSUYFOr0d1OHDV2/HQWoh/eQL75mxEycsjaW8yH4/5klM7xU4tgiBcOWIIt5qVVtjo/OhS9p/KJeHb4Xyy5DD9OtTB293IbZPWUFhqZejkNZzv+ceGenL42+GMuDmGnMIK7u1Tj8ZRPnTWOpAlCVVVGdotjt35FXSU65E34VlmPd+dWc91Q5Ylgn1NPDW8KZ6u+gvi0Oh1+PTsTkSvTmg69qEiu5Cza/YAUHgqndyDp8k7fOZvr0c3Yy36eQdAq+OnN1cwIe4ZvkiI5Ify9iy99026Hf+KF74dQfdvVjLooc9Zdd9Mlk//lU7D2iJJEhMjthCxajr1vWzY167HsWMNTb2yaNW3KToc5OxPxODpSqunbqddeBYxPsX4rP3CWTTh/7Ee3E/+qy+S/+pLWE+fQtJoqHTo2Z3hzu8Z0fhNeh2dmwuqqvL7wl3kJF+ihy0IglBNakUP9Fqz61gOkiTh62nk1NyR7DuZwzerjrHvVC4Amw5m0vPp5bx+X1us58rp+Xu5EOBtAuBkahHRIR5UuBjwsNpQVZXnRrbg8/z7mER9Vho3MqK7H49/8jv39qnHpNGtqNAZ2O/qS8jxEwR89hy62Ch0Wgiz7+fI1tN886f48g6f4bvmD/ztdbQf35cxQ06wKrmCA42Cadm3KSd+P8XpN1/BvXkTXl1wL95BngAs/sqbXduT6bH9VSRZRmfQoiKxPK8uLu3c6dOqmJzkPG5OOcinX/7Owqng1/8mGgYZST6VwpmNCRQetFE/OpFdz82g0f39KD6VSupGZ2Wr20Lc2VNk5uzC75Hc3dGGhAGgqLDzo1W0nTiUyPuiMYz9kRk+g7Gb//eELEEQhP9KJNAr5Ilv9hDxYE+C956iaYwfzWL9ee27vaRbnMOvCWcKKSy10DvYDUdKAQ2jnFucpeSUEhvqTEqJru60sBaw7UQeS39L5HaPtyg6GMjQOfPxctVTWbcpi1qPIm/mbHIH3cLk1v54mjvyY70owDnHSKM4qB9/4TNqo5uB/k/0Zuv8HWQm/vUOJs37t8BTZ+PWuqlYO9dl2MsDSdx7hrL8MkweLrgHeFJmhiOr9jBn0V78GnRj1IYsNBQS1zQMfUggBwt96RBl58ffMgkuTqPjoGZ4+ruz7N1VfDi6E/5BRlzMJtb1fACCI9i1dBGBn35Br7uDKUzK4of+rzJ44gAe01WQ3TCGh6YfJP2X9UhGI+DcCs3zvgeJdT2MwcWF9G2ncFj/emKVIAhCdREJ9Aq5pVkwwcdT0CsONBrn8GrzOH/S887i6aojbdEo5zCuQ0V7Mhs1xBNkCPNzQ5YlrDYH9UtLOJBRyiPTNpKQXEjZamePNe47OJNVStAjQ7D37M/sBT9gmvo9yu3taN+1HqaGFipVHeUWPSWqhj3lrgzd8C6Luk8EVaVx94bc9kJ/XL1MzHpq/l9ew9x7P6LVqffw0NtI2pvMW4OmY/Jw4dE546raKFod7Ya0ostdHSgJX8m2BBtPPLuIzFPZvNP1VexWO2fuHkpqn8confkR2ceW4xPqTX5aIf4RvhSkufNdUUMytu1Ed3o2PhNfRqmoYOvBHAq+XUf3LfMI8CniwwIjv2dH4N4jAGntRgrefwufJ59DkiQkYHeaPzlPPUryL7uv9I9WEAQBEAn0ivB01fHJhA4YFTv86dnkE0ObsD0hi3fGt0OjcRYdQCvhaBBMcYUVb3cNeSVm/L1c0Os0KFYbcT5Gys12xvSOR6eV0WllVr19K0lFFvY804LMw+uYt30rZmDp1BSWviYxYu4T5CdmogYFsfDN+Qz8aQqeMSHIGhnF7mDfyoN8eu9XHFyX8D+vw93XDZNepqKkkuLsEk5sSwTA5OnCvdNHIssyDocKWrh5TCd0Ab+RnWLl07Ffk3Y0A+wOpq5/Fq3JwAMTpuLY+AtDjk8h92wej9R7jsV1zXiYwxh7bBdFNyXBgp9Z89ARthXbSD28n1ZPDkM+N8R9/je1yCcC76deILZtaxI3rMHUrSeSLKNxc8MU4AWAR51Ahm+ahuTuw9LVWtx3L+T09K+r+8csCMINTiTQK+DbZ7th1Gv58xIhs8VOp8bBpC26G/nczik5hZUE+pgorbShkSUURcXT5FynqQIVFhsGnYb5L/egRV1/yittWO0OmsX64VdoJiMvh71rdl14clVl/p3vX/DS3DYPI2s1KOeSkcPucG5b9jfSjmXwYMzTlOSU4ubjypvbXuaXGesJjPbHYVeQ9TLeBudwaXyHOCQpk5g4+CV7DGV7X2f124MoTC8gK9gb6+LvMJdZePWWdynNLyO4XX3U1yr4cfy91Dk5FrYe49lGwcgPDkc51g6P0E3E9W8Jagk7X59H2ufLcX/keVKOHuO+E1t5f7PM4D2Z7Ir4AX1cPKFyJofW7gOcCdQ9IpD0QhPFgXE0eDyA1G/mYy29zNnLgiAIl6HaE6i5zqZqPZ7x7E1/2+ZS25lNnz6dLVu2oNPpCAsLY9KkSbi7u1drbOdpZImbmobw+5EsOjQK5Nb2kYAzCcqSMzG6GHUoqlqVPAGyiyrw8zLi6Waoek2rlTnfws3F2XsNCfFmtzaUaNdCvBVnEjibXshTQaMuKz7FZkex/bvngoUZRQB4h3gR1bwO9318F4pDRafXUpxbgqe/Bw6HUtWjXlsQjbVdLGWGz1hxJp+mHibswd5VlZmObj4BQPvJNxNxc3PuOfYNRVoNpzLgrg2nCL+pEQ0a2zB4tTx3DyUydx7n60hXuu/4mvhkLXkvPcO7LbTot6bR3LyJmGgHiUu3Up6ZD0Da5kPMrHMn1q8OIMsOmobnsq9LT5QOw7G//TCUFPyreyEIgvBntWIZS79+/fjoo48ueK1t27YsWLCA+fPnExERwaxZs67Y+Uf3jmf1O7dStOJeenSIotRsR1VVVMXZAz2/acj5xHi+QlGTaD805/a0PN9b1cgytj/tFaoAy9vexAPBI+ji8wg7FR9+jqrP1vyrO8vU5BKDrUKD3qjH6OpM+J7+HhRkFFYlT6vZRnfvMzws/4hy6ijbj2dR1iKKOc8torL0wmK/u95eSFlGPrJWA3Y7/k1jOB4TAYCkKcD55wfYFOi5cCqf3X0nHyYVUjzofrY16M4en3hKmzQAJCxFpax96GN833wfjzH3A1Camovtw2dxWzWd7ZO+JfSFl9C06UHE3bddtXsmCELtVisS6KW2M2vXrh3ac7t1NGrUiOzsv55t+l/tSMhGPde7HD+4Me5GLYokoTm3K4skSaTmlCJJEvtO5jjbnuuZ5hZW/FF4HrDZHeh0zkLpDkWhxGjAz9vGUA7ycPkmEpo1ZEd0I4xPjCJkxQYkg+Ev46oO/hG+PLHgMQaN/YBMrTcO1Zns9/9yGABvPw9Sj6QhSRJ6ow6NDGGRnrj5uuEb7otOr6PLXe3xf/pZOr/2YFV5QofZyszYMRz9uYB3hz3FkJ0HMecVUzZ5JnFPvUPC7F8pt8hklbrh6gKGwT345ruVaBo3xKHKbP8ygdWth7Pyjtf4IngYpqGjcB9wG14PPUFAizhGbPsI34zt+Bfsw1ZeSfvwM9zR9gT9pvS+ovdLEIQbxw3xDHTZsmX07Nnzih3/6NlC3vx+Ly+MasWxEhupDaLRublQPmcdAxoH4mrUcexsIb0nrsSg07Bv5lAAZFnCrqjYHQo6rbOCj06rIaegAh8PI1qtjJfZgld5GRFBMgfkADaUxNH7zHIWZ/ihCw8CjRa4uOhAdanfOZ7WAxpzbHsOGO2gSDRcvI2kxHzsTcLwsNgJbxSGpcKCRqtBURTmTFxIfmoB8178kUNrj5CWXETfLYsY4HcCt8yTrP50PdqQMDShYRQExPB5l6FkHi2gbOQL9N79NX3DXUi9pzdlGblkzV2H27Du+IX7EVOWS2BwIevbDEQtLwNJQnJ1Qy0vo2L9GvSNm1Hy7RfUbRFLcLv6hHfvQ9sXuuPi48aHxr48bl5FZf4Vu1WCINxgan0C/eabb9BqtdVe7/bP3Fx0PDeyJVkFFcw9UkTXPu1xAN07RuNqtfLrrhTGTdvEL+/cSnGZ1VlgXgVFVTmQmEfvNueGLiWJw0nObc8CfJxFFSqsduwHz5LfrRN1ywrIzMliYukZxpv34Ze7lQ/n34fW7uCl2z69Ite2Zf52cpJzufmeztRr05bwzUdxzNrE8256SrJy2PD87QDYLDYMJmdveNjLgzi+9RRpxzI4svE4ABvufgbjiCbsWrYfNBpCf9kMQLYs8+4t96IqCgZZ5tG9jZny2btoCj/FXFxBh8mj8Kzjx4EvVhDZowXR7ULYJDmwAb6vvoP7kGGk9emC7fQpch9xDt8e3gcZ25IIH7ifI/OOkrHuERSrjd8en0H8Hd245+QsXHw9KcvI4/sWD/7r58OCINzYanUCXb58OVu3bmXGjBlVQ6RXQqXFzupdKRw4lcfM+Qc4eTyLKd3rEBDji6qq1Ivw5s372xIf7oV8/pknKlpZpk/bOlXPPx0OhRA/N3w9jFhtDiotdpIyS+gZp6X51k38tu4YX7QOw2TU4ebriiRBg7Z1cZGgTf0Adh3LqfZrUxWVpH1nefibsWhUlbLYIEbvTGVKnC92kwkXX3dkIKyoguwyM7gZ8fB35/5P72byzW9VHSd/2x4aT++PaeptfDJmJqULvkNbJxqNtzeGho1pa9vLLkNrNHeOobDfEHyLjtGnt0/V572ig1nc61mMPh7YyioBsJ06jjXxJErpxTuu5B89gez+AiM29KLJXRP51GcwOlcjIe3+2PlF52bEIzKQolPp1X7fBEGo/WptAt22bRvfffcdX3zxBcZzVWuuFIeiMuTlXwGIbBrO4gdb42K3Vz3bDPJ14c4edYE/Jgv9OaFbbQ6WbE2mQ8NAIgLd+WlzEgM6RvLpzwn0aRMOQI9Rc7DZFYZ2juKnzUkM7hSJJMl8P+R92jcI5GDilRmb9NdrONGvLsapCzCUmSmy2om4pSkvH8/ggUf6Eq2Rcc0spPObi9k9rid5XqG4nM6mcsZ6Yvxd2doyhI+TCngvtRQPf3fcvJw964I3JgOgCQom7oO3ce0cBsXO+6Lx9MTm1Ygyaw4F2ZVEhOvI3JaAT/0Izqz6Y9mOecl86gaUUOIi4VG/IaVpuZSm/PFHRO7OD9kzrQiA5o8MovXEYVXvqaqKRqclrHNjkUAFQfhXau12ZrNmzcJqteLp6SyL17hxY55//vmLPlvd25k16BzP9ldvxnhuzeXYdzfSr104AztFX5A0VVXlt/3ptGsQiMmoo++zKwFY9fatmK12jHotLe5fRHZhJff0jic6xIOHp28lwNuFvGIz9fxd8XLTs+XUlX2oF+uq42SPmKrYM1XYPP9JFEVlxfRfGfCk896ZcoqpCPAkaH8SHR/+ltybG7CwX2se/HgFHx3PYWKCsz6wqqrIHh64DR5G2bKf0MfFE/TtAmxb1iE1aIbW1w9QiXLPp35gEcvfWE/Oh9MZl74AjV7Hh/reNBzTC4O3O+b8Epp89Aoph7No19GdghOp/NhzIm2eG0Hikq2krN8PQFTfNgxe8ceOPaqqYq+w8POQKaRu2I/quPSG5IIgCNyI25kNHDiwBiKBm/20aC020MjY7QqeJh1r92bg5+VCp8YhKDinPkuSRNdmoag4l7Tc2T0Oo8E5+9ag01BYasahqOQVmxnQMYo29QOYOmcvGfkVDAp2Y3ioB/fuz7i8oGQZXD2gtOgfX09KpZ2DFQp1XXVkVlq5aUcqS9YewO5iYMu8HQx4sg+qqlIR4Em9JTuIW3eIysbB+GQVUDfMm3YlKgcSnL3C83+svdmrFZUdG/G+RkPZovlU/L4ZVBkXH18kazn9GmVgrbRh1Gmp/Gk+luJyEmavpTK3CL2HiVu+eQaApQ/P4kSmJ93alKCxWPGJD+eRFVNxC/DEMyaY1s+P4Oi2LE699xW/PTmDm959ABQFu8VGRVYBKev2Xbh9myAIwj9QKxLotcLVqGXaQx2rvtdqZV4b2wajXlvVgzu/bkhVVcw2ByaD80dQv44X0SHO3rIkSXi7G5k8uhUjpq7jtkm/EuRrIiPfWUThvihf+gWYeNsQxoHfd14Qg9vgYdiSErEc3IdGlnAoKtqJn6DpfjuWu9tAZvI/uiarotLNrx2FlbvxcjGSXmzG9MU6KvVaUhPSKUvNx9vDhS+Hfczt3z1Ibr1QQhbvIbt7Q0pDfclLL7zgeBoJnrZlkLv6G179LRVtZDTuHTrgkJz3wYGW5AI38ku1ZJzxIu/wGUyB3jR7sD+qohA3pDO/T5pFcNt65Bw8Q3BBHu7+ZZT6OO/dC+9/g0t5Bc28I2j43iQqg0PofPdwXHevYFG3p8k7cgZLUdk/ugeCIAiXIhJoNaqw2LHaHOh1GhyKwpxfTpKcVcJLd7dEp9WgAJvzrbT31WOQJNBpOREQSN3sLBZvTmLxpiS+fPomGkb6MPvXE8xZcxKAnKJKcoqcE2cMrgbuLfek1YQPST98HP6UQDX+Afi99i6Bp3az3HUd7qrC51uyeMGgw550BMqKqo5hKb/8pS9FP86nf8cW5B89CkCjVSeq3jPM3cKQg6fJ6t8M9wAP8n1cafXDPjw0CnpJJT/lwiFmhwqNNiRhdqgoFTZs5kocK35Ef+tt2JFBbyDzbBlt4itoGFrK1pHd0Rica0fJzaWZWzmr5qxm75zf6fT5c7RobyX5SDm+Xu4gSWzp2wV9pZleowdx9Mdf6TuwMyoSLrd1wVpWiXuoPwc+/ZnTP2/7pz9eQRCEC9SKQgrXAq1GIj7ci4c+2ILV5uCrFce4p289ptzTuqoSUXmFlayDKcxddQxVVTHJEJnpLPDQt30Evp5GXv5mN6FDv+OFr3ZxPKXognO0HdKS2XmfElPXwIbnniP/lQuf6ar5uTgmPU69Td/jiYIsQUybRgQO7oV+xcdQWkSvB7oxO+9TGt/c4PIvzmZjxcadmFQH3zQPJsTPlchmzqU3OYPaMnfmBNZml56/EQz6YTkzogeQ1i6eO98YetHhjpVaOVNhc8ZssZAR3I3sHB1aSUF1ODBVZGN0d8F8KpE+3z1HpzfuA0ByMeEX7Em36RMIffYpyuvfhEMBY91w5zC1JLFuWG9W3u0cvm9we0cMWgdau/OPj4qsQur0aEGb5+7ALbRmn9sLgnD9Ez3QajJlTGueuaMZlgorP2xI5PFPt9G/Qx1C/Nx4a94BYkI86NMmApNBy76Tuc66uIBB4xxm7dQohF/eGYibScal18xLnqMoq5i81HyKM4ux7D2Jq0Zidac6LMksoXXDQHre2gCPaD+a3vcDL3R9kKZKGa9NXkhB8xwq1q8BIC+lgNyUfEryLl768XceiPTm9lAPYj8aTUarWMqLK3BxNyLLMn0e7QXAsVw9j/lsoZ5tLwnJDTm03tlrlfQGfF56lYr1v1K5aQMA+uat8Bg5hnI/XxStnoqiQnL2pFAUUpfd3V7Esm0DPb98nCajuhNoL8Jq0rC/0pPwgV3ImL6ck+8m0P6j23DVO0gtciXc81xxhT9N1kord2Pv1Fkoh/aRsn4/5ZkFdPvwIVo9NZSNT372j++BIAjCeSKBVgMXg4bxXaNBUTAYdYzsVZex0zbRfsISWsT5s2pnykWf+WL5Ud4a15YHBzbi8OkCVv04nfDIAxwouHim8HkntiXycN1nq7731mvo7Gei2O5Ab9JiKDNz6HQ+3rLE61u3MPX3s5w8lAqHTiN7eqFKEvtWHWTfqoP/6jrvP5DJoWIzfY+m4mgWiYubM3naLDbOV/qt72+l0Vc7iVt/EO/ELIb+7NwhRRsWjvttd6ANCqlKoP7vfoQuOBT7t18g6/Xk79uD5qmZuBvNtJkyirWjD3Dg02UENY/DN0AidW8SLrd2ByB+QCv8Es6ilZ0bhzcuPkOR0QeMF/5KOw7v5+xnc3GUlQNweOYqAE79tPVf3QNBEITzRAKtBofe7oOP2YrdoXDmZC73fbkLVYWsgkpW7UxhYKdIXh7VktsnryGv2IyLQUNukZknZ2znq5XHOXKmgHreRrZNdGOAthNpQX4s/Xzj3543rdJO4OqTFNkUrDvSkBYcQQXifFyotCtYHM4ZpvrGzQhZ8DNFX39G0ftv/e+DXkK/IDd+aB3KHbvTeTexAO9Ojdld1BC3kgx2PvYqLyx/AheTcynItkW72J5i4YW4EDzS8+jRKYZ1W09jS0ok446B2FPPVh236MN3cBs0lKJPPgBzJRE7E8BkpZVbBvVDvcn6bgYRfpX41g8iB/htwUJuatkc2aDBKyoY97AA7BYbWoOODscPcyIrhFOt45Fluep1k4tclTwB7JUW9n+05B/fA0EQhP+v2hOon+mnaj1eXsWQv21zqe3MPvvsMzZv3owkSfj4+DB58mT8/f2rNTYAH41ETEI2Uqswlq8/xe3TtlzUpkWcP42jfQnxNbH41VuoF+GF38BvqbQ4yHZIeAZ6cDx7Hrm+zxBZVMz7/dqw7PPfUbD97flzLH/s3HJ+Qcapgkq8P/hjkoySn4f19Cmsx/73Btp/RQLMwd48P7MXU+Zs4q7p+6h4bASaMjdOr0tgw5tLGP5Id2a9vpqfv9jE8hkjCZh7nC2P9Wdsu7okdZxK0r6zWA8fuOC45SuWUrl1E0Ezv6N0wXdYUlJwadCAfRVhGE8lkuHXldiIZMC580z+kTP4uajYPVyxARqdhk3PfI2xoIhWD/biTLO4qh1vtHotDb9dxqH0YrQmI/YKM2E3NSGoVTz7PloiyvcJgvCf1YoeaL9+/Rg2bBiTJ0+uem3UqFE8+OCDACxYsICvvvrqkoUU/qtyRSXH4cDbaueJb/dcss2UWbv5dMkRcooqWbn9LEkZJZitDjQ6DdOPvkl+WgGP1HuOjQcqGRGrRZurpb7XAyQUffyX553YLowGfibuWXGSv1vJaM9II2NAj399jcuzyhjj5sWdPZpSvvsMR1/9gVubRTDqnnq80b0B8z5cT+LBNHZvSWTYlMEkd2vM5hKZrWFDaLR5FQ674y+PrQkMwtiiNbbMdLIn3IfXZz8S7ldGUeZJMl6bxqouHWk+pjt+ZHP73Ik0NpaRmlHE1r3ZJC7bTvcZj7PvhJadDVU0Mkjn13VKEuZW8XTr7YN7y3h2vjGPYb9NA6A0PY8TC3771/dDEAQBakkCbdGiBRkZFxYVcHNzq/q6srLyitXCtagQ9M0+YN9ftlFVqpahTPp2d9XrDpuD9d9sJv/cWsmfX+tBp+dOkpJSh1A3/f9MoKMbB9LAz5UJvyZSbruylXT09Rqwfn0Gacc+4uA6Zy+2cu0GinoFUpJfRlmJmQ0/H6R578b0vL8r2bIbm+wG1sW1Q/toL97eOYWPRn/Jth92XXRstdy5JlMXGEzQ+x9jT9pD6yaeuLXuwCGf3hR+9jFZz02ixcq3qHTI/JLuQnlpIZG96xDdvz0gIfkEYK1Mw2DSIUsSKCrIEqcb1QVJIirYn+LkLAAydx0nefXFcQiCIPxTtSKB/pUZM2awcuVK3Nzc+Pzzz2s6nEv6+tHvq77+PXMiQ1/ohY/BncTiuf/zc52/P4i7XnPFkydA0Pc/Icky+1rURRsdi8+Iu3lZOkij5Vt5KacE7yefx/2Ou0j6+jPef3oldfq15OSiTZg0Ei/H+ZBeVklxTsklj23PzqZi62Zc2rQDWcbYvBWLRt+BbDTi/fEsTF264bU7lWbkMO3OTykMa0C/9+9Co9c6S/JZrKQ89giNZj76f+zddZgV1RvA8e/c3u7uZOnu7gYJQQQbFEVARUVREUUUW1HBQgQB6ZLu7q5lu7vr7u35/XFh+SGLAiLIMp/n2QeYO/fMmbmr750z57wv2Cit482yKxXMBUSLhU2Pf4xzmB8Ap75ehb6kotq+SCQSya2o0etAX3jhBTZs2ECvXr1YtmzZve7O3yoxxHKx6Fv2Zz9PduVfzxItrDSRUvLv1QG9IqhVJMbNK9Ee3IvdwKH4/7EDx0ef4KvA1uwY25/Jf7xsTdEnk+Ey4TUSgzqxvPfbpG4/SaCNkuyhrTDL5cQeiq/+AEYDpfN/BJmM0kW/or94Hm1CEvpyHQAObVuTOmke2yv98f/6Y8zewchVCqITYPt2LUqNig7vPoqNiyOyan6bBZmM7j++jNrFnoT1h8k8FP0vXi2JRPIgqdEB9IrevXuzc+fOe92N+45f4xDGH/yIgWObYte5O84vvgyAxWjk4JeziNW6csazI+oGDRkQ/TV9nC5gXPQDAE5ejlieGs5Z/Dhe6ASh1mo0MgdHZC6u1xzHeewELGWlfKk+SofZE3BqXBv38RMA8PSSIyiVyG01ROvDYMiz/NLoBWKN4Qi+Qeyc8C0KtQpDeSXlOdah8D8XSFDYqJHJZawd8A6ll4dyNW6OhD/UFv7FMncSiaRmq7EBNDX16trLPXv2EBwcfO86c5/Ki8nk+ILdnDxiTcen9vZGgRnLwZ3IDXpW59XmYGkQyrBIijMKsS9Ox+n7Jdh268UnR6fx9vS2LMqtxTJ9O/xWbELu5EjQlt0E7DiMIJfT+cn2+EX5IJpMyF1c+X7op8x4rg2NvpmOf9eG2McfJPP7eaR1acVPtl2w2/gDNiu+IqxHQ/qExaFe8inO4b44R/ihtNVQkWntZ3XPu2uP6srolEU4BnsD0G3ORAasmkbtga3u3gWVSCQ1yh1/Bnozy04AQpsEAaAtqSQ3JR+L6faf5f1/ObO+ffvy7LPPcuDAAVJSUpDJZHh7e/8rM3BrEqfnJ+IwfBRZD/fFnGetnmLQ6ln+5kp8V45GDghmEy5qEx3cz+CgNLOyoASL3Eh6l5YsNJnQrE7H+5eeCHZ27Fl4ALWtmtg3JuL0wkvIXdwI69mYgGAZmefjqP3mOJ57qwF2JxP54OkpZK/YSbHMBk83e77K3sTXjrVw6u/Dwvf+wJyfhyCT0eml7mhzizj0Xjzm8nK8m0QQMaid9QQEqFhij9FbQOkjXi6ycrX2qsbFAY2zPd8cnc7B83nYdmiO0mDkyd9fITOthAu7LrD9uS+vuSb1x/Qh+1gMeacT7t4HIZFI7hv3fBKRrZMNPhFeGLQG8lJur7blf6mc2f1K5uyM3MUFQanCfthILAX5aHdswWfhKuROzgCU/DSL0ZObcjjVwIpId56b8QT+J6yTg8I/eg/vzq1JKchH7u5ByPzlBNkqmafXU/zlxwCUOdji3PhHslfsxXnBejYVJaPzC8etTwkZRYX4ZZzhjSV7eaapLx/Uzuax+YXknrI+OxUtFn5rMhZTpYGimDTOzPmDttOfhEHtKMsowMHPDWdLbWb7t6fP75OJGNYWs9HCxQVb0eYW0/LNEZeHawUaNwogRgCjSkkOzsjDnWkQHsTul2ZjqrQ+Vx74x3TC+rYi48B5lrZ/+W5/HBKJ5D5wzwJo4skUBJmAs5cTLj5OqG1UaEt1VBRJMyTvNqf3vkTZeyj6lAR8Vm5C7uiIqNeT2rk5osWCpbISmY0Ntk9P4IcyDSV5ydTbmYh+wDAiN79DwfGjDOsq4uuez6cpEdi078zTqdsIslXy4tkcDBbrnaCyc29yB0zGoedENHIjZRo1KWUONBv/EBe2nGDH88+yA9jq0QJPZSAHv5gLQP9V03AO82V550noCq/m8L24cAeOId4cePtX1BY3StMzMYuVJG08gJO/M6uf+5GKi9F0/vZFAIxlWi6mlGBs2gBDcSXyEiecfYtxKcpjWuu3MVXqmdzKn7OlRkJ6tySxyBFN3cZ3/fOQSCT3h3t6BypaRIqzS3D2dkIQQKm+5zfEDx5BwL5LF5R2FggLAcCUm0PZit/xWbIOpa8fWCyYS0uROzqij76A/aCHEft1o0k9BWN//pxn+7zFkuhLNDv2A2LfRqjrNaRHUFec27RFbbMdpdGIpkEj7Hr0BkCm1lBphpNZvvSziWaY/XmKDCmkAJHdG6J88ikyXYIQ3v0Q0WggfGAbBEEguFdzLi2+OhmsKCaNTaOupCbMrtr+8rnzeG8KZv+yTchnvs/pr1YROaQDdp7ObPh+OyqHAySsPUhJUjaevk6YTRZKcsvwslMys3MovzduynGZQLlBRVKFM/a+bpRn3t7oiEQi+Wf6Av2BCVzJSfbfcc8jliiKJJ1KQWOnRqf995dlSK4lNO5AocEb2alLsO4HnEY9g8rehlqj+pPrGAxYl6jkvzIWl9enYkpPRV27LkqVBoWmiCIB2qrjETXxLF90Afm25zFlpOH6+juYW3bCrWUnRIsFmUzgUY9TrMyvj05UAmZclDp2ZjpQEpPHxnd+wsnfjWe3TCXj3Em+HfwcosH6+3B4+kK8W9UhJdlgLVtm+evn5TvyKhgUF4P5/Bn0F84Q3DQSO09nAEL6tGD9w9MRL7eRm1lS9b6cCiM9lpwjf1s6zdq2Qia44Jx5QgqeEsk94gB8A4QAXwD5QCEQDCwBFl7+sxD491fEX0/485T/v9xZEK7bedOmTbi737+1FfPz8+ndu/e97sY9o4isS+QX8ynx94TcNJR+/gA0d0gnJlmP3sYeS7mW+L59EbWXh9dlMuSu7qhEHe9nz8XLWMal+EoWCX2wlJaQ1rYRKBTIPb1wnfIedp27I2CkvkMBlUY5cToPZPnpfNgimjWfbWbZJ1uxlJUiCAJd3x5K6pE4YreeBiByWEf0ReVUBHbkobcfJmHPIXY9+QoAji2boLaR0/WDkRz/fDmZBy+ivbyU5f/VfaoXnb9+AW1mMXYXmvD7hGHkZ1y8G5dXIpHcIgHwBTKAi0BtrMHxANAe0AJ7gP//v/ZcYPS/16UToig2q+6FGruMRfL3FL7++K/eiNzbhnoFiZTM+4GMgd2p3LOD7LUb8Il0QnRwo+jkxavBE6xDuvm56IvLubT1DMv+SOebYV9QK+8g8pJ8HB97BnWDxohaLXadu2PIzECGjLNl3ng4VKI9foT8px9h+897OGjfjsDD51CGRSCKItunL68KnjKlgn5L3qbPwilE6FxwDCqnXr/aAAgqJQ3/+I1Gv36Gb5u69F8+lbFZy3AK87nuPNWOtqjsbUh6Lw3923WIMo+v9npoXBzwaBR2x6+zRCK5eZOBdKAXkHR5m4D1blQEbC+/doUInAOUwBjA76719D8whCu5dyxlpegvnkcTHo4NRnqc2MDWWu1w2rIKGrlS17MQo0VB4ndfVP9+s4W5fT8AIOzgCWKdrCMRbm+8zWTfXaQfvsB383/G8dEnkAkiwTZ5xJe6YtssEF3HPvw8/gfsh1lwDK2LpaSEju62+KgVLMko5f1D72IQ5ZxKd6RC5knavq8I3xXCqZ+WAyAajOScTEQeXhvlzk1EdYkCQGmrua6fJ79eRcbBCzy6azY+oxYRVrmOrBatSVh36Jr9+iyeQnDPZsyLeoqi2PQ7dp0lEsnNOwHkAPOBK2ObAtAQqqotXfnTcvnvXwGhWJ+TzgFeuEt9veMBtEHxT3e0vbPOY/52n+rKmV2xcOFCvv76a7Zt24azs/Md7dv9qr6HHfP6RjJ+WwKHHu5Ls0h3XmvlR6sh9QgbNQu1UUvdoBTO7MngxJyfMSVal5JoWrRGGRpO2ZLfaOmiwVUlZ1OO9c5Um56J2skN/arFzDyymmYtvfmtfihFn0xHGVUboWVbErQeGLOzEMszMcRYU+qVL1tE+TJr3t+ZI9rz7ujpuH7yMfa1I1me14CyChXlFjVFpUn81nVU1Tn07d6CmScWMsHpZc7polBuOELiuoPkn0uiOsWx6aTsO8rb/MbimS8wsGEtYpbt4cTny8k+FgPA2Z82UJlXTFlq7r927SUSyV/bBuwGhnE1UPKnv1/x/0OotsBPWJ+V3i014g60unJmANnZ2Rw5cgRvb+971LP/lhfahzLwjYc5/MsWmvo4sGZIHdL0Iu8FdOe5RYtY6+9LQ1kqTdKOssKuH2WetXF5tzNle/cROqwnslHjMNh5ULF1I6tauKDzC6aFsjaF838ma1h/ZA6OWMpK6dU7AvmhYma+8wcA+S8/T9DeEwiCwPBti/li5qxq+zc+SyTfO4Ra70/gQIWKLIMj2l/nIG5fR0XxtXeEzYM9qFeehdua3ziwdhdrL/31M019SQWrer/JPpUcT8tyZK9NpWn/nnRrGMnqoR9SceES8av2E7/qr3MQSySSf98TQH0gEmuQujL55kaJNw1AKvA+sBe4QebtO65GBNDqypkBfPnll4wfP55XX331HvTqv8WrWSTh345nS/0oKorlGC4cwtNOhacddAt15a26LWn48xae/UBHmls4xU9PwrtLZ5wunkAxfgKmh0bQ3iuF7a+8gaWwgGdO6qjsN54GvTvQ+Vl/FP7upJ0pI2PsGiK3773m2JaSEsSJozngp2dt424oAoMxpSYDoLFX8/npDzi38yJxH63j2x/HcNLRhaPDu5PR+0mM6elQzUS3937awC/BfqQm773utb+SZzAzoVTBXNdwjsXmY7Rti8eyLRhfexXDxuW3fX0lEsmdowcaXf4Tbhw4r1AAK4EI4G5W+q2xk4j27NmDh4cHkZGR97or94SnrRK5XEaHT54ltH9rbD2cyY0IBiCjxyAa1hlLnR+PUe/XM0xdeRRDfCy/d/Sl53eLOFsRzmNN/Dmat5ZtHulMKzlO5R/L2T/yVbIW/A5AYqg3I59woZ3uIJG13cDZBZuudVn6qJxSo0DJn8qsJe/eTS0xkukhbbCUXl06IshkaOzUuHo5MnnzJJJnDqN2HTcCFq7BmJZWbfAE6zfS1OSMa7Y1+ewdXDdcQAiO+str02b3Dn54bAhalQsGkwKzCeSeXrd4hSUSyb/hzRHN2OfvxBzgRml1qvu/wkXgcayzd++WGnEH+mc6nY558+bx7bff3uuu/Gucnn0R91at8P3gJfYl5l/zWlNve44/1YQkvYWA4hi+faIdM5/4itjuLzPsszEk6KIo37OL9IJKoJKAl14jyN2O7otfQKsrwHH3UjbMW4Yi0J4SvYnDmafIyVxxzTGyE3JJ3nOard/vZEFqAaVlBp6o35kPcp0RMVfb57LF8ylbPP+abZWllTzjMwH/EHdabx5PuuDI2Yd60/CblxkC7ASuX5hSPffOHbhQ6IHcxx9T8qUb7tcV4ORxPL+eQbNpz5BV6Yr8tddI37YWU0baTR5NIpHcaR5B7kxxUGCfXkK7v9hPwBpEr9yZmrAG0BygD1D573azSo0MoOnp6WRmZvLoo48CkJuby6hRo/j111/v6zWr/0/TvBUzLJcYPrwO6+MKeHVnInP7RvLaziRSSnScz6sg3FmDQhSZcPwwOYt+ZHliOREvf8yazqH8mpnNU5fbKlr0O55jhvPDlDGYzidz7vHvyEkr5Exa4Q2Pv61PGOWLtvHh+nNV275KWnLb55NZCs+ebYbf2TT8kk5Q92A8K7B+A7W/yTYO9B6KjYcnxRfibmr/3B/nklCcQOT018neHIspJ+t2uy+RSO6AvJR8xpeF8bmDirIyA75Yl6f8f7C84sq/dYAG63rR2sB54G4tRquRATQ8PJytW7dW/XvAgAEsWLDgvp+FKxOgta8jiSWVVL7yLL+FujOkVyARrhrqe9rR1t+Jt9sE4GarJMrNBoVMRonORIneyBbvhph81Xz9+kQUMoE8ZHwb/w1b5+/m5PaTuJzrwbDdy3DMzWdS9LUTdl74+WkqirTMf+1qgPSyU6FWmKr+LcgEAqJ8SL1ofRZt26MPdr36kf/WJMTKv/8+KHdxRV2nHkkrznH83Z8IAEYAMbdwfSpySyC35O93/D8xy3YTs2z3Lb1HIpH8e379/Qi/Ai2Bw9W8/udgqsW6bjT88mux/3YH/88dD6A3s+zkTquunFlNq8YS5WbDhTHNkAkClsvPBbVGM+WinBBPRxy+eZXPDx5nUvi171tRqOC5rcmIv3UCmYDFZGHG4QxOzhjEzlBfuvdqwJQ982i5ZiJTH5nI+R/euub9giDQanAzSvPLrwmgIbOPXvMcYvKUvjR66yH2TVjAql0xOI8bQ2V4E4q//QJj4o3nxNkNHILrpCkUzfqMtF4dMF8eQv328o9EInkwXUl38ueA+f//FgFHwBV4Hmtqv/K71UGkVH7/+VR+o+p5kl1uoH+4Ky829UUmuzrvK9PGGTuTgRy1PW5yHQ7lFei0ehzVCsodbLAvq6RErqFQY0+z2QcpysxGxDphpvOqVTx9ehlD9u6kskLP/FIZbxYq0F44f10fHNztsZgsVBRrr3ut57TheNcLxPzTBkZ9MJQ54xYQ9eYAavdownuPLiBp7c7r3nNN248/g9vkqQCULvmNwulv/7MLJpFIagRPYFmrMDybBBP0ww5sL0+tsHD97NfdwMNYc+X+C26Yyq9GDuHWFO0DnPitfxTlBhP2qus/Ks/KYp7oMpmx59cRmRuNCKjUCkRRRKk3AqA0GwmpyKfgiUgWnXdie3IxAWN6ogxJIDG8FdrSOBYeTmXivusD5xVl+Tf+TlfvoZZ41Q3g7cdnsbD5+wCcmrqKejujSVm/+2/PsWzBXCrWrcLllTcoX3N3l5HIHB2Re/tijL3xhCOJRHJv5AJrJ/ag5UNNebfSwJJ5+8gEnLia1k/AGlD7c3fvPK+QAuh/1Pvtg3inXRAWUawKnldGCwTBOoBRojWwaKe1WLXRbEEpl1XtozJYn0+a9HpQKzBaLPjaq5gztD77mwYRX6kjLsQbI5BRUHrb/fy2/VuobNX0GtuZjo+1Zea8AsRHnmLrsH5YzDdXH8FSXETB1Mm33Yfb5fHNz9g0a0ne6+Op2LDurh9fIpH8tVmP/0hAHV9SzqSxAriEdabtN1jvQs1YJwzdi+AJNXgd6P1uYIQbcHWs32AyIwhCVfAsN5j47XxO1f5ymXX7lX0ErAHXQSVHbzKjlMlo5GVPerAfZ1o3wt5QymvffI9HWTl1XK7PH3uz9GWVlOUU4xflg1+UD0p7W2S2tvh72PPRmJZ4u9rcdtv/Nt0x6xQFTYu297gnEomkOmajmeQzaYjAcOBdYDYgB1SXf1LuYf+kZ6D/wWegT9T35KfeESjl8mu2mxQyDE42xMXkEumkoUhnxNfhr4PfWUd/jqYXcWDvSXK1BvycNJwNCSThwCWeqe/F+6GOnIjOo83e638NO7vbsqy5H48ez2Rb3o2WNFsJgoDKVoVJb+L7lC8IuJTEGbtmrEyRcXTEqL+t4XmnudUJwrtFFBd+3fKX+6nqN8IYH3NTM4UlEskDSXoGer8IdFQzr2+t67aLoojCZKHSyRY3L0dszGZslPLr9kEQyGsSjENyHkt2xTN95jxEnY7k7+oyp1c4Yxv7Uv/n4+Tnafksp4QhHYJJqDBW2xcHhQx3tQJHpXWgostT7QlqEMivryzmz1+8RFFEX6GnnqcdhYm5xGZrWe/hh7Z2EIJafV2AksllqO3UVJb+O4Gry7fjCejUkOxjMRRcSL7hfoZzp/+V40skkppPCqD/MR62SgRBoFRnQi4Du8vPPwVBQATsEvOsD9BF0brt8p9X9gFQleuxKaxAIZMx6cQSNBYjo4EjGWW08i0nT2sk0FHNmWeaMut4Bu+euD6PMMC67HIUa6MxX46VfcZ3x7+2L0unrUJbcn3g6xDgxJ5RDZk9fSmTt8Yj2C1GZmNT7d3dxN+eo+WgprzV/gOGVjyJrZDPuxfv3MKV3a/Mwbd1HQouVj/AI/fyJnDVevq6neHcj2vY88Ufd+zYEonkwXDHA2iz0x/d0faON3rzb/eprpzZjz/+yJo1a6qSJ4wbN462bf/7z7pOZJfj8uVBprQO4NWW/lXbdUYTKoUc2Z+C5ZU//5/9pQyQyWjla8/HX81CcXnpy6/ncvj1nPW5aZizGpVcwFYmsKqFH4vSStmeX3FdDlvz/91ozuj7OXYudtUGT4BLBVq2JBayJq4AALGiHHNF9Y/3E04mE9wokBn73ib2sxaULvXkTq78zDudQN7phBu+LsgV2DjaEhzpjL5HIymASiSSW1Yj7kBvVM5sxIgRPPbYY/eoV7evWGdCJbcGRpPFgkImQ62QVwXLK3edepOZ9FI9wc42VZOIgKqAaadSMPdMznXte6sVvBfmhm18IQdi83m1ZQDeGgUrWvrz7Kks5mWV0/vFbpzYcIbMmKvp7YqySijKunGmn1ytkV5Lq18OU79LHYpzSki7YE31vO6zTZzccIYX543m4IENJKbcrQJEVqbMdC7Wr8N7Xs5UFv/1812JRCKpTo2YhdukSRMcHR3vdTfuCJlgraRifZwpYLl8B3hluPbK3wGUcllV8CzWGbFc3vnFLXHsTythyp5kRtTx4Nzb3Xjj7BfU6d8MpQBpPcN52M+B08U69hdUUm9HIq+dzyWhwkCS1khU2whGzhjK4Df6/qNz6e5hx9qW/vi62fHWhleYtGzcNa+nR2fyRqv32bx5NbFl527Qyr+rLKcYk776Z8ASiUTyV2rEHeiNLF++nI0bN1K7dm1eeuml+yLIftsjnOeb+FJxeR2nxSKCHKLzyolyt6vaz2C2sC25lL5hzgA4a5S8vDUehYOGTXYufLfwDABfdwsjyFZJQIgnX45oSVp6BpfK9NRz0jAlOpd8g5l8gzXFR/g265CnbG8M3z83j/O7o//RuQzzc2SAjwPfJBSy9e3lnL5475K1CzY2aJq1ovLgXjBXXy1GIpFIbkWNuAOtzpAhQ1i9ejWLFi3C3d2dr7766l536aYcTC/lYl5F1eQho0WkQGsk0s226s4zX2tgdeEo1rMakyjHdHmJyJc9wql4qjcv7JlOZPeGtPB1wNteiUNZBbVHf0rHpTt5JsiZV87nELktgU051Q9dWswWdi84QH7qtdVYRnQNJ2/NkzSr5VG1Ta6Q4+ztVG07E85l03hXIs+GuDA3IRXzwRi8QjxQ26qu21epUSL/06ziO8nx6bF4ff8rdr0H/GvHkEgkD5YaG0Dd3NyQy+XIZDIeeughLly4cK+7dFOyKwxoFNaPRRRFHNQKinRG5DJrliFRFHl6Qyzv7DxEXLHAb5cEVkTn89XRdFJLdFz4fR8nF+8l/UQCqwbXYVhtT4aviab7sjP4bIyh98FUtuVp0Vss1Ha4PpD9FbVSjp2Nkv5tgnBxUAMwZvbjfJ/0OY2GtcW3bV3kKiU+Q/siqNVUmkVOl+hZmFZCnpc9K0c14usLHzJhwXPXtCvIBOamfMHXx6fdkWtYHe3m9ZSt+B3d4f3Vvt7zvUcY9M3of+34Eomk5qmxQ7j5+flVCR52795NWNjdqhD3z0xpHUioi401WGLNRKQSBAxGMyqFDJNFpJabLX8cmc8w75081TQE8CQ6X8vBjFIyjyQz1UWkbTMvXtuZyLONfDiXW0Hz0d3p+8ljfNf+bcitYG/7YIJslWjWXUJvublkGr9ujsFsgrFdX6aoqQery74iNr4U/1NpdPxxEjJ7O86vPYV/rzbs3f8SiUMGI5aXsS67nJgKA/6Oak5vPsvRNSeq2lTZqHAXLXjml+CWU3zHr6eqfkPsBw+n+IuZFLz7xg336/Byf9T2GmK3n+XC2qN3vB8SiaTmueMB9GaWndxp1ZUzO3HiBLGxsQiCgI+PD1OmTLnr/bpVPnZKOgc7A9aJQpfyKxi9MZbfu4SgyqtAF+iEKJfxaZdQfjqdRWs/BwAqDCY87ZQ8UseT/EojXYOcae/vxPDanrjZKhlRx4OtNirUdpqqYdJP4woIslXedPC8Ijd2Kr9p+qNZeJohvlNJ2hDE7PxUHJ6fgUKtQltmpKRud8z+QWgaNaVy/24Auv2eTu+ADSQu+Zlyy0kA6nWK4u1Nr7Jh1naKQ73JuWh3zbFcfJwQRSjOvrkanwobNQgCJq2uapvD0EdxGPoI2m2b0B3cd8P3LnvmO/p8OJLi1Lxbuh4SieTBVSPuQGfMmHHdtvuxHujj9b2q/i4Cx4MiaNNAT6C/M5vrNqXXhRMczSxl8q4kSvRmPjuSQZ8wN+xUCuyAokojXxxNp4VcRgtHDU7BzmyML+Djw2lU7Eth/6wNVe1/l1R0W31MKN5EVO02yHz1mJNtyBMFGta142JsCuFDH6b+uO4c/uIHcnYnUHlgT9X7bOQeeNq0oKlPNm93iuWjelEoIn0pSC9Edz6TvHW+xK1UIReurj398tyHGPVGxvi99Lf9iuzZiKfXv025Hj6wH1q1veizGVRs3UBIqJrsfH+KYtOrff+Z5Qc5s/zgbV0TiUTyYKoRAbSm8L/8XLGo0oiLjRJzu+YcrdWUiTt2UNRvELlllcxd+Dt700qwlQt83rQDu7Ib08V7FwgCLioZBx9tgKmgkrO55fRee5FM3Z2dcRpfupDVs4tofXg6BcV5pC9R4Rzrz/M/jybhQH/UMYW8/VQkvhknGR/vwIH0Urxs2lJpyuG3WB9G1JHzR5wLqn4euAe78/3I7zlkaybjl5fw1qhRhrryZYJ18tLOefswG0031a8+Mx5FIRcQKq+dGGUpK8W+LJ3eC34gdccpVnR//Y5eD4lE8uCSAuh/yCs7ElkanUdqqZ632gez1imB6A2HyHDSEHI+kUm/HSI/zTqc2dRZQxMxnr3F4ehsjGhkFkR7Nd6OGnCyYUNqyR0Pnle4ahrglN+IwrI1tJrohjK0jC35JfjKgjnu6UE9/RH6utvSzNueY5kyBgbvo1gfy7LEKH45B7+cy8TjaDbfxHzMgKkP8cO4n8nSm2jhrGFn/tUAuOC1JTfVn/pDWuHfxPqMe/njX173esH5ZHa9PJuMv6h56hLogXe9AKI3nrzFqyGRSB5UUgD9DzFaRPanW2tzPrchBjbE0Om1h+j38WMsGPYZ+QfPVO2b7z2VlwpE1kcvZ1rLCh4NcOJCXjm1PexQGMxkFvx71UVOF3xETPEvVJpzUDnUw3gwkYY2E4jwtMP/XCUf1+rBFxot55IvYbIUczxvGkX6a2dB56UWMHPgV+QmlBJV+RmJZSuZlbAWJ6Ucwd4BsbzspvvT9LFOABz+eTuXNp2q2n4l+YRosZAkhtPwqVY8PyKe91776bo2hv8yDre2zVh8xIXKjFyyHxty1yvISCSS+0uNXcZSUyTtu0jC7gtknkm+ZruP78PEubxEYsFZOoe4UGajpOvv5xEQKNOb2F+o/Vf7VWnOQd2gMb4rNuD2zgxc1Q1xG3CMEa/9ge+x1RQNfQp12/bWnY2f4KXYeF0bp7eepyLNhnCnR2nm9iwnO4Xw67jhBB05j8OIx2+6L+tfm8+aiXNZ9cKPVdseXTiRD8sW0XtiT/pM6oPzcy+S2nkYS3u9jle4/3VtbH1/GdtXxCF6+OPRpBaCQnnrF0UikTxQpDvQ/7iUw7HM6TL1mm1KpSvHjwxBr89GFM0UVBrxslNx6IlGeHx9CK3RjN58a7Nrb4cxOYGK7Zsx/LGNMMd1FG4S2dfmHNsnfIq6xX4q91snEe1oF4ijQoZ87aXr2tCbCziWO5UVTbYTbKdiwzNtsassJic97ab7kR+Xxcmghrh9+i0F709BUKmpLKrAxqTj8ZkPYzGZiTEf51h5IDKLSMeYr5le/w3KLsZVtZG49yKJ+ycxaAO07hHI13V9yTiVhB8t6MZH/MFzFHJ38/VKJJL/NukO9D7j7tGNLj3i6NDlBBE2Fg72CsddIUcmwIX8Cop0prsSPAH8LO2we2szfXO/QxBkEFaBqqkGi1ZL5e4dYLJOAJp4Npvnz2RX20Yjtzdo7vk+mwonk2GUoZCX0v3iHJ4fF8XEhc9V+x65uydyT69rttkNHIJdjz54fjuXgJ1H0Mx/He2UEESzhfmvLiH3yGm6+qbSwycRo0Wg877FeI0ccm3DFgvnP5/H+VWH6TltOD6Nw3n6ne8IoQu+NP3nF0wikdQod76c2apJd7S944M//9t9qitnBrB06VKWL1+OTCajXbt2TJgw4Y727W6y7f0KqqiO+O4vRKl0IjdnC4MGRaJ7tSdOK/by/erzDPVxoIenHVtz71x1kVrDO6HM8ib50CHKjdbamkqNkjHfPY7xs++xiBZkKLCIJmSXHCh+5/pjL0grvWH7F4pm46AMAQYxc/cc0iMmA/BD6heYDdVPgvJdswVBY0NqsyiaPt6JjFNJ5LzxMsV+/jg8+gSaRk1J7qtH/Z6Mr3dP56Vjn7D36/WobVXkX0yhwejedHBJRRxYj61rN6Avv7puVK5UUF5QQusxPdG36sO2Ig1NAuZw/tml1fZFIpE8uGrEEG515cyOHz/Onj17WLx4MSqVisLCwr9o4b9PVa87qsi2XPylLimx31BScpKBzz5Dbqgvm3P1NHFU46lWMD7E+Y4F0EDvnnTSL0XU2tAqTOBS0c/YKf3xsG9Em4E7OZn7K8k/NEXjF0ay7QHqpfeiYEfk1ffb96WD949sSR9Enq767D5lxkS2ZQxBlqHEwtWqKONrXZ81yCXIg2f+mEKCu46z6w7i1zSMEb+OR19WyVtOozDGXqLwg3fQnzhK6oG9HKIAL9Efi9mCo4sNtSNcWL3yALlpJfgEOtFxaAPqtPmeS2sOsvbFH2n2ZGce+eVFzCYzsSWu5BlsaUoxzj3/vRy9Eonk/lUjAmiTJk3IzMy8ZtvKlSt54oknUKms+V5dXV3vRdfumOKvByPTOGApzaUE6/PB7ycuYtbGE3x3PIUjueW0t1dxtEj3Ny3dPAd9BGKMtYKNTIA6rmOxiBbMlgre6/YZOXIFAaO/Qla/jLLwugSPrqCsKIkR4SnsyhiFRu6OrdIHtdzlb4/1/8ETwFBpuObf7nWDePjkPMpEGW2UGcRsmEfy2RRyYzJIPhhzdUeTCdPuzYxZ9Tondqdz/MdNbB03m5Fzx1KqsKXbJ0+B3PprL4rg5O1I+xd64hHqQVSvJoA1QX6EYyGRToUIApxfl/RPLqNEIqmhakQArU5KSgqnT59mzpw5qFQqJk6cSN26de91t26foRKL4dqlKWmlOkZuuMCZw68QE5tHv6G//OPDdGvqx6rpvRj1wXbWHfyWCKfH8NA0Q0REJsiQyUDe6CSlax0xd/fGVVUP1xUaimvrsSu1JcCxD8d+NuGQ/TVtPszCojNTpL94W33x27AbUa/DJ2M3Xcd2ItOkwYyMOV2mkrjH2uYnta8flnfwdiaiawMM9TtzxnMIOcsmoi/VonRWIcrAaC22iiBAZoUD+vRMono1uVpvFZBdLlBuMcO+/8vgJJFIJFfU2ABqNpspLS1l3rx5XLx4kSlTprBmzZqqkmA1hU5nYve+BGJi70wOV1G01iC9HEtYm9yW7n7LCXYcCCodzeZtRuloQH9iE8IlBYZ8OXZFKrzOqsACKrkTiop81EZfHIhEL8jxtGlBUtnNzap1C/Om15hOJG08SVJ5GaLRQEl0EkmJTWkSpsVs0PP7nr8OyPlxWcwIG4e291jMJw6QnVmE3tUdXX4xtm6OaAvLsXNzQG+SkVTmROugEhBFBEHAUKlHpblcpcZiQSaXoSu+c8+UJRJJzVFjA6inpyedO3dGEATq1q2LIAgUFxfj4vL3w4n3E4tFZMy4FXesvR0nM3Dud/VOVsRETuUh3G2acinvJ85M20YbxQqUcnsEQUBeYLLO5TYoEEURhaAm9LkktKYM9E7DKRMPk1L+x00fv8fkgQx7qD76ZzuRbFPBx3UnEp+YQ/zspWS+2Afjn4Z2q6O0UeFZy4fi3XMJbBGBz/B+HJi9ieQDMbR9oRfBbaNAFFErLHT2SQMEHApysdMoybaz/n4kH4nh4tpjhHWqR2Fizq1eRolE8gCosQG0U6dOHD9+nGbNmpGSkoLRaMTZ2fled+s/TCDc8VGytfsoN6VWbW3y0mBavtWS31u3pjg/A/UGN8KjtNjZ6qFSBYK1bqkgCFgwcSL3fWJLfkElc6LUkIS7pgn+dj1J/YsgKnNyIrB5KHmn4jm38RRNR/dAaTQiUyp56finfNF4EkUpeSSuO0xkg+uTIPw/jaMt0wvnI8hkFCTm4BZqXe7yTdsppByKwcHHmeC2UUSdiSHb14NiTzcyzyYT+8sW/ELdcXmiP+5OKjwj/fjxm/fZOXP1nbm8Eomkxrnz5cxuYtnJnVZdObMBAwbw/vvvM3z4cJRKJdOmTatxw7d3Sl3n8bTx/gpBEMiuOMC61Pb42/VEI3dHaQeKNG+clXXpE34Ye6UfeU1eo/+Ptdn2egXHFqXS0vMTRFHEbNERW/ILWlMWA8MO4qAKAiDAoQc/RSsQqSY1nlJJ4N4TONuaeMLhAO95P8O8QR9jrNTT5NEONBreFpnculz59c9G0LRTCM90+YK485nXtwVonG0RASwiKlt11fbyy7VGD83ZQtsR7em7agslTg78OOlJZrV8gzFb3iGsw9Vn5Go7DYO/HY1nnQC+bTsFi+nfySsskUjuXzXiDrS6cmYA06dPv8s9uT/5+dVDsFi/XHjWV/HMyPcxrH4aG8GX2LmL0K9qTTdxAzKlHOQGCrML+O6ZuXgf+YlWXnU4kfcBTqowcioPojVZEyZoFB5Vd6YFlWerD55A51GtqXSsxE5lInabNdfvlYLWsVvPsOTJbwCQyWWkL34OWXwJbUynSJPXRWfOv669SWe/RJDJEAB7LyeO/rKD3Lgshs8fT+LuCxz4dhNuTcNYYeqK3ssFmVyGk58rRu3VoeHC1Dx2fbKGHu88jNrBBrlSLgVQiURynRoRQCW3z1bhS2bhUYKdn0EE1EV1Ca2nZ8muCVjiG9HU423rjiIggHffZDyMkzi9IpuLZT/gpq7Pifx3GRh0gHCnEaSVb6HUGM+Z3If5qF4rkisbMb8w9Zpj9v7gUZwD3fn98Vl0erwNKr849i48yO9Pz6q2j1G9GvP0+imYKy8R+4kXgkVl7cxloQNaU+/pXsQu24No70iFScBObiA23xW3h4bQwrXYGswNJjyDPQBIaBxFcWoe+yfOpSAxhz8m/YpcKacgMZct7/7OEytfx8HLmRmhY2/quatEInnwSAH0AdfTfx0ejo3Arwwh2QljkS3nPw3Hkt7wavAEa6o+zGSvi0RhV4mffW22pg/FaCmhf9AebBQe7MgYSX3Xlwi074fOHM/K/C4AuGsOohBsMYnWBPcNhrVFtrcN04YLPJyWzMCmvxF3LqPa/jVp5EeLkW2QyWTI7CDDYwFrYudes0/dx7oRPqANp79dy4E0N9RqJR280zmZ7UVysRNvtD2MIBMYmZbBwcd7gSiSE52GX8MQRKDvR6MozS7mh+7vVbX5y4CPcPR2pij5zsxulkgkNY+UC/cBl6M9hPKRdDTvxyEK1mHWc+k/k1y2iuTStVhE0+WhWPAMtCZfd2mcSeBTZ/C0aQ6ADAUiIgmlv6NReGCn9MPDpgsl+kREUcRd04Sno8rx1LQEIO0JBQWfN6Qi/W3s5YGImUF08V2Ep00rfGw7MSw0Gjd1Ixy8nXl+5/u0HmDNQ7v/6VTWTJh73Tl4OYAH5WhTsrj49JuYvzOSeryI+h7Z9PU8XLW+8+DjvcBsRgS8GoRgEaH/J4/TefIgBnz+BC6BHnR5YxBqBxu0BWVkX7j5hPYSieTBI92BPuCSy1cRsb0/hqBLbNIOxSm/IekVWzGLerZmDMJZFYWzui5RwT3pusSM4sQ2zhwMYf8sRVWChLUpbQGIcByFu7opZYZknNRhFOrP46QORY4ao1mL3lLEI7W3YF/cHYAKhcAHH8ykk4cZmSDHaKkgT3cMZ3UtHFTByCINlDg7k7/7EsaztUnctqvaczg+bxeG0kpK0gtwze2BX3YbMi9k0mpVMd8MeQv55EFEdKtPUUo+XrX90WmNqGyUyARAIUMURXbMXEXP9x+h2eOdKEzO4/SS/Xfl+kskkvuXFEAfcJnaXczfGQw7wc7ZllzZdsyivur1+lElvNa7L9t3PEzAGwPx2qvkkOV7Au2DaOr/JoLehuN5U9GaMmnm8QEOqkAA4koWE+owFItoRmfOw1bhjYAcJ0VnRBO41c7g2OHDhNXuguMjZ8n4zokjua9hsJSQVLYKvbkA9sLHUeMpTMrFbHzrhudweul+Ti+1Bry07k6crFWBTDxL7YxAbN3smT/kEyxmCw/NGo2duwMHZ2+hx7vDsFgsyORyTEYT3aYMxWI2s/zZOZxffaSq7dp9m9L40Q6sHPsD+rJ/t8aqRCK5v0hDuBIA/Bw78/orB/h4wUIC3NpwZZLOpGEN6dntMOqgmQT2C2O5eiqlsiBE72z6Hg+m6eBeNHZ7k+5+yzGaywAo1ScQUzwXuUxFmSGJQzkvE1/yO8PCLuAcUkCdR44R1CkOe2UgLv1z8H2mEHFlLq+lfI5cpbAGz8vyYzMZHOZMgKO6um4zYsEEXj33FQ2GtkKmkKNLPsaZsGOkRR/Byc+NZ9ZN4fnd06ndtyltX+iFvYcTTbrUx62wCKeiUgxaPQqlAlOJArNR5MjP2zHpr+blfXLVZJqMaMe0/F/xaxzy730AEonkvnPny5nNePyOtnf8rQV/u0915czefPNNUlKs5bfKy8uxt7dn8eLFd7RvNYVMLqNf2EYylipxbZbNs+PmsOq7FZwqmM4HP6hJPDGejHOOTPj4Mxz0gagBIdub9DGtUTyyA8fNgQSo+qM3lwBwKHcSpcZE9mW9QJZ2DxWmNLr4LsJk0VFhtiEnXODsukw2pjyB+/xCzrc1cNHOiSAh3Trb9/+08nNk2aA6rI7JZ/Cq61P4Ofm54h7mzePLXmPRqK84tXgfxrFdsOtSH4vZgtlgIqRtFM/8MYWynGI0TrbUjvIkz9UF35QMSl2dAFA4mdDlXK264uDtzDPr36KioAxHb2eUSjkaR9t/7TOQSCT3nxoxhFtdObOPPvqo6u9ffvkl9vb296Jr9wWFSoGoU6Hy0OJYr5CiE34093wPF3VtkovWceq8J/ZKD+wLvqbCmIXOkoC9MgCLVoH/wwrmT3yBhPzVdPK1pgA0mEvp5DMPX7tOAMyNtiG5bA3mBiZGLygj09GZvOYNEJeaWX6hOVGDnscoHObTNOuXH7cAV0pzSzHqTZzILuPdvcmsT6i+HN2GgYdwCUgm9Hk5GVuycMSP8JFh9P5wJDK5jEqtHqWNNbetrZsDcoWchEIBZ7OZLUeSCFLZYefijKVQQ0bcCRRqJWM2v0P2hTT8m4RycM4W1k36FdFiDcYSiURyRY0IoNWVM7tCFEW2b9/OnDlz7nKv7h+GSgP54jHc85pxdOQAjPl2AIQ7PUKo41CK9TEczZ2CUmaPkyqS2s7PIpPJSY87yql6p/HTD6OZ13uImAEL/XusJvvSaSyiCQE5tV1fYFvGUF6dMo5W2Y5sjQ6hW+UJjgJeNu1o6DCRcPpyqPYeKo0iX56bwZHVJ0jZcRY7Bw3vf7Xjmv426xhBYW4ZidHZdPNbjkK04acJSr5ud4gGw2M485wNhfnlABSn5ZF9IY3MM0m0H98Xs9GEIJdhkcupM7g1coUc0SIi99UR6l2H16Jn4RrogWix8J7PM5TnlSJarLOT1fYaHLxdyI/Pupsfj0Qi+Y+q8c9AT506hZubG4GBgfe6KzfNW63gZKcQRgU43rVj7kh8HJBhyLMOU15Z+lGsj8NVUxdHVQjni77GXhmATCbHIppJKlqLUOBJa69PUcntEZBj1zUb0m1xHCCnUHceQRBwVzcG4PCsCg6u6kD5K2EsHzIOgNZenwDQ/6sDzN35CsW5pVzYc4lTm8/y+KTu9H51KAIybLAmeXf08+CL5c8x49cnAdiW/jBb0wcD4NZnI0FdYjj96QrWvvQLoiji2zCEsA51iOrVmPNrjyJXKjClOXNxUCS6844Up+cjyAT0ZZUIMgG3YE9yYzKQK5X4NAiqCp4AL+yZzhux31J/SKt//fOQSCT/fTU+gG7dupUePXrc627cEl8bOY2dNbR2sblrx9SbizBb9FX5gq/8maXdQ3bFQfzsugKwM3MUenMJJosWN0196rmOsyZZkJnwX74dMV8BWiW269uRqztClvYAR/Om0MH7Z3yNb7J3cU9iSjsRV6q93N6TFOkvsmlaLX6aco7K0kqm9/qM3QsOMHOviqmlPXnp0HKmdL1E2MAPcN16jNk/nGbW22tx6NwPlr5Fpof12eikuT+wWuVFXFYFLoHuVeeQeTaJVc//yG/DP0dbVIYsNQhFQm3Sz8YRs+U0m99dgtrh6rX2qu1PSLsoavdtWrVNaaPCr3EoALV7N/mXPw2JRHI/qBFDuDdiMpnYtWsXCxb8/USk/4pZ3UMZ19SPrgtOsjvz7tWh1JnzmBfjyKCQo7hpGmIRzZjM5dR1HUupPgGF3A4ZKoyWUuJLFuHl0AIPTYuq9zuOTCDE6RKdZp3l7Z7RlKf6UG7KpI7LczR3/4BaLlcnl1lEIwIKRExka3fjrIpCKJaRuiUR+K1qP8P5M9Tu3QW/KKgYdwr9x2mEzDOxbWsytdoGUt/9QzJDnNB4heHuYOKlY58gKhW4hXqyYfJC8mIzyTqXSmlmIXUHNOfDskUIchk2g1LQtMxG7ecL+FKcbp31eyV3L4BJb6SyTMsLez/gyE/bOLV4H8ufnUNA83D2fnnz5dkkEknNVaPvQI8ePUpQUBBeXl73uis37ammwZT6uzPvuS43SL9+LTuljDVD6vBIbY/bPqaAdfapBSOrk1sSXfQTiBZUCifSyrZgFHXYKrzpG7SdlqO7oXxsG03WluJiH4EomjGLBgrXunDhYAwZCaU0tv8CjcIDg9k68SfS+TEMiv/PJ2thYLB13abRUs7i+FAOZr/E8by3r+nXyW+X8kdQK77r8DYfjx6KS5wttTeE0rXrUPpNfpkAcRuhQ09TfngnajsNcqWCstxi1r3yK2ajiQvrjuER6cPMyiWEdqiDxWTBrDciCKD2u7rW1cnP9ZrgCaBQK+nx1sOEtqvNiPkT+LBiMUN/GEurMd0Z8dvE277WEomk5rjz5cxuYtnJnVZdObOBAweydetWevbsedf780/sV7fCbpgr+kwLvPv3dzr+DmoGRroDsCT61vO2OihDGR4Ww/nCWUQX/0hzjw84mvsmBbqzNHafwsXCOfQMWoMoihS67GTA5Ncp3KsgfXQrMMkRBJCJMrKyovn1kZ+IchxNI48SFIITLTxncib/U+q4vIDKZIcoWhAEGTpTAQW6s1V90JsLOF90NZF8vRBXlk3rzqTvDrLpaBpJ+6MBiJHNwyzqqPPHGJI3N2J7wfMIjjoeXTyeze/8zkcR49CXVV5zftrCckoyCrm06SRbpi3lvZx5mAxG5Ao5mtIK9E72VYHz4peNiBx7BpnaDCJc2nqKkDZRqO01KFTKqjYPfb/1lq+zRCKpeWrEEO6NyplNmzbt7nbkDhi6O5+JDdpydOX8m9o/prCSqB+OkV6m//udq2ER9VSacghz7sPTPZtz/Hg7nKLiyEsxYKf0wU7lj0U0YTRXYJffmJQBXQAZedpTVJqzkAs2+Nl3xk7hRxO3qTTxmAJA1OUhW418DCfzP6Cu+1PUb5dL6tFI9mY/h0xQ4GVjTdgwMHgfxfoYNqcNoNQYR2SEB2G+TjSu78Omo1fz0RosxVwsmoOADC+bthTmptLm4R40fqQdSfujOTh783Xnl3YsnukBYwBQO9jQ/p1fiIhLAxsVG+a8gGgoI8OsxqjTE/LUQRQ2toAMRJG+AQ4UyCxkl1aitrdBkAuIZpGYLadu61pLJJKaRbgy2/KmdhaE63betGkT7u7ud7RTd1N+fj69e/e+192469p5z8ZD04y1yW1xVIUzLOwCjXvtptxhD83HOhK9rCmHZzeg0pSLwVKMu6YJMsH6fUtvLkUtd6wa9kwoXU6Y48OcK/iKOi7PI5epydUew1EVhkbhSmb5HnztOyIozYhG63BxYN0Eok/bkKc7QbBDf8D6DHJzTi/GZTyNh2jgwHuLWPlVMp0fHYdT3yx+f+JLDNprvyjIFHJC29cmcV/0X9bsHDF/PI0eaYd3/3fpozDzzaw3cAx1ZuQLX/Jhm0YEjepc1QdBEEAUGb5hG/ubNiTDx4vNU5ew/YPlCILArfw3I5FI7nsnRFFsVt0LNfoZ6IMkONAFtfrmBxR8bTvjqq6HkyqCDj4/XW5EoOWLDpzYVsDBZSYqjGmo5a6sTW7LucKvq957Mv8DRNECAphlIillGzmSM5nTBZ9yMGciO9IfRS5To1G4ElO0AGdNLcwWA6JRjo1TKUH147CIoDXlUGHMwDH4MDK5CUEQCND0JetcOkf79yBn2URqOz9Ho8eaUX9Ic1yCrn/OazGZid91/m8LXhenFVCcls/YY+l4bIzj+LIjKC7mcviJHgQ80qFqP0EQ8C/KRWYyER0eQomNDWaDicjuDQCk4CmRSKpId6A14A40MtydzWvHsGFzNK9PXofebMHyp0/KWaOgWGfNpCMXbHgmqgKTogRNWz2mPZ7YyzMIfew3fHpVMvOlpRjPDua5d3riGpnLb+McqdPOHjuNJxn7Iyg1JHGh8DsiGs3EPVuBjnKi87/BaC6nhZd1OD21bDOBDr0AMJjLUMkdyKzYg69dR5BVgsW6bCRPf4jP/1hPcnIJ40fJiS35FZNFy8iINEoNCWxJf4gQ7z6Uuh4g81wiAIMH1ic3t4z9h5L/9trIBbBXyCgxXjsl68yTLYl/ujdJ7epjMpgQ5AIORgMuugqaZKXwXaKZzKxSUg/H0HvGSGxd7Nnx0Uq2vrfsn3xUEonk/nPDO9Aa8Qz0QZeVXcae/Ykc3BtP6aS2bE4t4ccSE9t2xiIaHBgU0Y9Px+n5+UAC7y09gVmsZHNafwZMG49yggK7aX58eGE4C5bkMWRyFoIg8PYnZvzbxePgV0qgyziKj6sovnw8B2UQbpomVJRewlFZB7XBjsbub5JZvpcyfSr2qoCq4FlpLECjcMFsMeBpY60HeiV4ZlccZGvGIPy+iSQ+IZ8LRTFV57Qwzo8riXEvZfwGl+tt29oq+ezDfmRmldCu2+zrroWbpjEemmZcKrbeVS9r7sdgX0f8N8eRoTPR4umu9P3kMba5OqCITmFu/w/JDJvCkPGe1AnLJbIgm59OFzNr5NW243ac442YbwnrWBeXQA+KUqUi2xKJRAqgNUJZuZ6nnluKnVLGBfdGGKJ8+HpoE2YpwynNscdrciu+fDEW0+A8WPooYF260v58FsYlek7uDaLu2QoSyqwp6pzc7Oj+hBfpcTlsfegldBUWQIdCprn8jFBGpPOjaEtyUMgtCDLrr5Gv/dWhUKOlkkLdeZQyO2yUbsgF1TXDn8X2OZTWUtPONIelv35Mnu5q8LSqfmREqzUy5sXl5OdXX1qsrdc3eNu2IUu7hxJDLEeLKgm2VVJqst6BhnWqh52rAxaTGVPtIDwifWnkeJQ39TL2xrqw9+1l7Nl+/po2i1LyWDjyCx5f8jovHviY6QFP3/RnI5FIai7pGWgNUmG00GjuScbNPsiO+EqcAj3wa26LEHGC+ieSSV1zDIWtBgALJrYeHsSvby/ni/0RxJYmYL4cs4rzyxnd9UsmDPmEhadb80uMPQeyXgSuZigSEbFVeiGTKRBF8U8/FoyWCrxsm+OqqUOO9gh7M8de09fksTKSZ3jiHzCQWs7PXPOap68TDz/XHo2tqtrz3LErnjPnqs99vD/7BXZnPkWJIRaAj+MKabo7mbLLAfT0kn0ArJv0K3E7zxGEjrf6m5ALoF++m/dMFbxXzZpa+7wPOTmlPebiEAZsXYSgkL57SiQPujtfzuzxO/s88fiCTX+7T3XlzGJiYpg5cyZ6vR6FQsHkyZOpW7fuHe3bf1V2Thlnm7dj1E9H+PWHt3GOzKWs4SFGBEdRUD6KfW/8TFr5RuZecr5hG7HnLo+Zcg4Ao1gBghlEGSCgcdKiL7Gruqs0izrkgjU4C4IMjdylat2nkyoCrTnzmkQFQWsdcIxTUZh9nCO5r19z7Ief68Dw5ztSkF3KzrVnbuncC/VnKdSfveHr0RtP8kXjSXjXD+KHbtOYMa0XtpertXz92zF2les4Wqy77n1qlS/lyU6cfac9PJGGXb0oyk+fv24/iUTy4KgRX6OrK2f2zTffMHr0aNq2bcuBAweYNWsWP/zwwz3s5d01r/lYmnedjU9kFm0e20aMxYEcvYVLS3b95ftkKEEQsIiGa7YHOwwE0boERaY0IlOZgKvZexrP2g0mJWtHl+Fl2xKTWImTKgwAuaCiuccHl1uyBlyXOA2OMTLOafdgtJRec6ylc/aQnVbEga3X1/+8XSHtatNwWFs2TF7A0B+fJ7B5OCkHLzF1+hZS04owmSzExObx54HkK3Zvr4urdxOa9ZhDwuoFlJ+5cMf6JpFI7k81IoBWV85MEAQqKqy5ZMvLy/HwuP1Ud/ej8ox83jk1ja8+H0OoXy5nSqI48eJBBrGPc70+JbBTKxTzWrMxuQ9F+qt3UsPColHIbFkY51u1TSmz51LxLwTbP4RCrkHtoEPjpKcy7/9S39maMesEgh0GIJPJr3neqZDZ4aZpgEU0IxOuPjXINx3gTOGn1/U9P7uUlT/v/0fnb+eg4fvHmrH/cBIlOWU4vNyPWoNacXLRHla/+BN+jUMoSMwB4Ie5R26iRQuF2cfZuqD5P+qXRCKpOWpEAK3OK6+8wvjx4/n6668RRZG5c+fe6y7ddSnnLvLooDeoXdub02cyWP3tHDZ85U3DiNexbHUAmS2NXF9nV9bVRO+F+rPIhauVSdRyV3oHbMDTpiUncqfjrK7F07OTCairYMNzwylLcUdQ6Tg1pi8AMpmA3lyGWu5Q1caVu1SZIL+mf16qznT3W8H61M53/NxbtA9jVGYBg0OcsQ105LtZqzBuOcZZd4Go7UkcPhb/t22MO/cDFnd/Nj33Gcnr/vrOXSKRPHhq7CSilStX8sorr7BhwwZefvllpk+ffq+7dE9UVug5fyYdG6WMt76ZSv33JmPZ7gU51ueVlebca/bfmj6YTWnW59gyQUWowzA8bVpSpI/GQRWIiIXUtX25sCqMkG6XGL7pO3p9uwoQMFtMpJZtuiZ4Apgt5j8lIBAJ6HyRgI6XSDb98q+c994t0RxuH8muIFdmxOTz3ck0LAcvYhatE6Buhou3A76uRl5c8yJhHR+M5+cSieTm1dgAun79ejp3tt7ZdOvWjYsX79zztPvN8kWPceLAROLi8hg/7FNOlnQl1O838vSLKdbHVvuedt6zeaaWlmztPg7lTebgEzYUjxqG1pRN7KYQ1n6g4MS3ncg+6U/eWV/0piLkMiUB9tbk/RbL1cxAMkF2zQQiURRJ21WHqIeP0Od5V+o4v3DHz9lisRAW5kJYIz/OPdKOxza/zpsJxbhtjCVH/9dZi66Y4TWKX/u+y6nf95F5JvmO91EikdzfauwQroeHBydPnqRp06YcO3aMgICAe92le+bU6QzKyw2YLqe76xLRhsS0J2gWGIdGaENC2RIclEEU6s9VvafcmEq5MY0op9HUc59AfEwl0aGXMJTMp77rBJQyZwTk7HhlGACiUHz5nZeHa2VXh2uvBE+zxYhcpqREH4ezphYWx0T6PRdA+eoXCc8fhY3SnYTSpRzPe6fa83BTyenrZc+SjFIMf0619CeiCCvf30KQjYKQVwcR1CAAta0KQ6XhL993TRsWCwnbz5Cw/dZmAkskkgfDnS9ndhPLTu606sqZvfXWW3z++eeYzWZUKhVTpky56/36r5j24bZr/v2LIZverVJ4tPY3NP/sDJHPnab+uQAyUj9myCglBzf6sfbcBCKdnqKum3X9Z31Bi6/rdhbpz5BgN5hwYQ1qOy1Z9iqccuRo5M4U6C4iF1T4BbnReeY6zi5qRtreSES9tRSYXGb9c2NaH8xUsnG4iUCvRtTRTsDbrhUW0YyTKuKG5/F6uCuvR7pjFEV+Ty+94X5gHVp5NsAJmSAwasRsKuRy9BW3V7FGIpFIqlMj7kBvVM7st99+u8s9uT8Ym/ZkS0M3ona0oHnrzznRRE98ZQ5NCqaQdSgPZ70HPrYrKdSfxVkdQaZxK3X6aUj6rJCBQQfwNkVRr/NxTkWfQFHSFLlNI4xmPTmFB6jjOgYbt3ScQwrwbp5OwGtnuPheO8rPeKArlXM45zXKTUkApCeCIbOMeiEKyo2ZLE0IxyxeG+QcFDIcFTIydCa+Ty6mk4cdwTbK6k7rGmF2KmSCQEK5nkKdCblgQimAUcoFL5FI7hApmXwNSCZ/qwS1HTJnH552uQQygZxgM2mnPsWgy0Lucp6yAgdKZDupU8uDhLNBFOrOEu44irY+X2O26DFYSlDJnTklDOOhdp+Svt9617gn4xnqu72Cq6Yuaict+lIVSlc9xgI7ag09TszKJiicc5l98OoSmQGBe/G2a0eOcScOQh1WJzWnwpRR9frhDpEUM5oxx+eTp7tI5YAoEisMhG1L+NvzHOTjwIVyA+kqFYcbuONro8BzYxyWv32nRCKRVJHKmUmuEvUVmHPiOZk3A5OpmFFF85jsN48LRd9yNnE3XrXOsHzhSBbMHYF3aDqjIjJo4/0VYJ2Zm1t5BBDo+2grGk1Yh61PPvmmQ4iCiKumLigq0JfYgiBgLLDDo1EyNm4VOPoX4dbg2sCnNWcD0LRTILZKD2TCten7lmXXZlXeq3T1P0CgXX2a7Uqk7d6Uvz3HKHsVp0p0NPryGd7P+5Vz7i5cKDVIwVMikdwxUgB9gJ0oeJdyYxLbi8cgUzxctf2FMW0ICXbjl8lPkpioRRDk1BH2oKYUQQA3tS/zYjW0fxwEZQWDlyxA3fMtwh0fodKUj3fLOML7ngWLdSJR3ulgTv/QkQqbw+xNeeWaPhzIHk+i7Wu0mbqW9j++TZnROrxrrwwCYF2WLTpTASq5A+c6G9naNohsvekvz0suwIWuoRzsEEzd5Cy051N4bnc8Hff/feCVSCSSm1UjnoFKbt/2jCfo4reIGTlXl3a89tZ6hrb6mNIYZ7S6CkryevKS53kOM5R1ijdprHqYxRaRIQ2nY2OrotOAhmxZfoKuDu4ICFw6m0Tb51OQ7/PA3l1GfnoFRcqdvPJTKQWx4/CP747JXM6yxDpEtbJn6mofykoqSYi2ZpOq6/Iibb1nsS39YTxt26BRuLEhpTtzIkVclDLC7JQkVBirPR8/jYIP63iQozOxLKOUqZpLpB49x9S8v550JJFIJLdKCqAPuCLDBVYmNbpmW05uOd+tGweMAyBtQhRH94Vy3q4HWZdG8lNSGgBlxZVUlgiUb3gbP8satqQPZkR4As2HeNGwbxIJh5dxen0A+7Kfp1Pg98RtcSPzQC3sFD6ggKYe00iI/ZgjOy+xdM4eju+JA6CPRyLF5tMUGy6RXLaaUwUzqDRlMz/Vh6eCnJndwJu4CgMvns257nyG+NjzeKAzANHlBprvTqoqZSaRSCR3khRAJX8rP7uQ7T/3xjV2L78PPILecPVuVS13w9++GyImyu12grKUzfMT2XxmGbv+OMPQ0e1ofawLgQWDOPKhSFrAU/gzDwGBUn0iRaXlvPbIz1XtKQX4pE4SZbqJnI3rxREuUGnKxl4h4+lTWXwYm09c93C6iyIvns3BW62g0GjGXSGQgoCusJLvEgtxU8qYm1KMSZp1K5FI/iV3vpxZ8zubbPv4sWN/u0915cxiY2OZOXMmWq0WHx8fpk+fjr29/R3t24Micc5qli8LI61iD3rdtUOnFaY01qd0xde2C4OeGohLfhG64w1YuzwP31pujH6zN8f2xLL0hU/oO8GWIUNbsXIwiBiJL1143bF+a+rLpVIfth/9CQfZWjDDo/6OLGrmx9Cj6azMLGNnXjlak0iwrZKkHuEcKtASW6ZDkVCEvUbJCyEu1mICZpECo4XJF3KvO45EIpH8UzViElG/fv2YNWvWNds++OADxo0bx5IlS+jcuXONWhN6tz80d5umtPCcQTe/ZXhorLO5XT0dePi59tjaq4lwGkUTj7dIXNOBzMOh2Joa4KyKIv58Ju88PZ/PJq3gaN4bnE1dhtqlnLrvv8yaYi8sXP8cs6GTBk9NOq9rW7LdbJ1wlKEzkaw1II/wYmPcdD70dKP/kXRWtvBDa7LgrVHwRLAr+k4h0DqgKvPRU0HOvB7hhkomXHcciUQi+adqxBBudeXMUlNTadKkCQAtWrRgwoQJPP/88/eie/9YezcbUrRGUitN2MkFMntFsK9AS7/D6Xfl+Pm6UxjNWpxUYdRznYC+3kyentyDyPr+lJfo2L3iLQzmUgxCLq6uTUgt3k5ahTUj1Z71V9MDrvxpP6t/PnpdrdH/12BnIjJBQG8RUarkGA1m9uRrCdmaQIOWIdg5aFDbKLGVCzRxtsEiirip5JQazTgo5egFUFlAEKDUaMZRKSfKXsXZUikLkUQiubNqxB1odUJDQ9mzZw8AO3bsICfn+gkn9wM/jYK97YM582YXsqf3ZIi/I5UyyDPcXEL0O0K0UGFKI1t7kEM5k5j06RAi6/uz5teD7P7jLJWmbMKchtPUdQZPbv+d5q+tq7YZe0Ug47rm8Ez3Iwg3+NUziqC3iLTvU48d6R/TZWDDqtfOHkmio/drbFx8DK1ZZNqlPPIN1iDpqJRjUitRidbgqTdb+Cy+gBKjBeMtJAuRSCSSm1VjA+jUqVNZsWIFjz32GFqtFqXy79O//Rdl6UzsDvfENq0I9+gsfu4Qgpdczjsx+f/aMZUye3xtr9botGBkWWJt1qW0Q2fOY9Xc/WSnFTL/s21UXs4vuzmtH/rW4xAx0nVw42rb9QiwofmC9XRbcw53m+r3uaJx2zAAXv18KO1HtOTT4+8RHHI149W0xr7wydO4qRUYLBZyQz2wqBUIgAioZAJTIj3Qmi1El918AnmJRCK5WTU2gAYHB/Ptt9/y22+/0aNHD/z8/O51l26LBXhzTyJGDwcMXo4UNQ9ih95Exg3WQd4JLTw+ol/QDgLsel2zvXmnSBYdnoxeZ+LkgQTKSiqrXjPaxfDMzDAyUwp4ssNn1bbra9+W1N/qkjy3ITdKIalQymnSLpzU+Fwwmgg6ncx6VwWRPo4cH1yfscHOaGQCL7YNx6FvC9KiAlEIAh6JeVgUMkwyAVEUSa80YquQkaL9966TRCJ5sNXYAFpYWAhY60L+8ssvDBky5B736PYdPpZG1iPNyB7dntgoP7ptirvJktC3Ro6Gbn6rkctsSShfyEfr2zLlm0eqXvcPcScg1INew5rS55HmePm7VL1WWqhl8be7+OWTLWSlFlbbvqNNEKm/NiJuvhMG8/WJDQRbWx5f+zlfrRpLVKNAUCooq+uPXV4JrX7YjDomgzmNfIiwV9H9t6MsbfU66rgMZIKAAKgLylFYRGSCgNYsMvJYOrUd1AzwlmZfSySSO+/OlzO7iWUnd1p15cy0Wi0rVqwAoFOnTvTv3/+u9+tOGvfKGuZ8NRg/Pyf696nNHxuj7/gxHg6LxlEVhOfUUxR77MA5AOxSNVWvr553kO2rTyEIAr5BbqQl5FW9Jooi37+/4S/b33T0XQaGdsaLdnjYNKfUGH/N6wq/AC6FdiUmYxMNUnKxaPUY3Bw4Nm0wxl/38fv5HF6LcKfEaCa10gTHEkm3DcLHxRazKJKvN+GlUaI3W9icU868pn6oZALBtvfn8L1EIvlvqxGzcG9UzmzEiBF3uSf/nq3bY6moMGBvr8bXx+lfOUaxIRpNHTf2ODnSumFD3nvtY479uvOafcqKrcO2pUXa2zqGq8L67FP+p6TxAMa4GI4/9AjzXqpPZGI2h2auJ/nJDiyctYtda89QWaFnTnJJ1f4LmvpSx0GDRRSRCwKyy8tX1HIZE8PdMJgtgMBLYa7MSiy6rf5KJBLJjdSIAPqgaNPlWzp3DGPT1pg73raDsw35jabgOe1zYk42R6FPIu14/N+/8RZtTu9HA9dJZGp3V/u64dIFlsd5M6Z5KFvztExr9fEN2xIArdlC7R1JuCrluKvlbG8bhHj5NZOvM9owd7buT7ytvjoFuvN2whzMZgtvOYzEbPzrJPYSieTBIgXQ+0h5heFfGbqNah/FjytHo5MrSKy8QELhPna9MBOMujt+rCztHqZ1rqST2ZM3N1dfHeW9b3azrUcdju766y8K9RzVWETY1S4If40C1w0xFKkUuBhMWERINVlQ923AxbPZt9XXr499gFFXSYmtLXK1QgqgEonkGv84gFos93ei7vu9/3dCs4FNqJAr0QtyUpfs4sDklbfdliAIDHq6DTFn0rlw/PoAKQOeUmsptHVklbOGY8XXB2mjwXxNAobqLFz6NBWtw0n8cgsHtkbjq1HwY2NfXAwmcs0innKBgyfTmNrsUzIqbz3w9R3ZgjoFeTQ4m8Z6gxpD+Z3/MiGRSO5v/3gWbnx8PCbT/fnN3GQyER9/54cp7xc2ajnnfx3OrNZuqM8m4HUuhtG9I7G1VdK+Tz2ad4685Tb9gt146aNBvPj+gGpftwCr3cNJc/VmVID1Wa7aRklguCeTPxmMq6fDzR1IJmDRqNCMaU9ws0Ae8nHgeFEl+81OGO28SK0wICCgFG4tjZ9MISeye0PqNAmi3NWW97YnM6z/t7fUhkQieTAIN1qPV+3OgnDdzi4uLkybNo3w8HBksvtnVYzFYiE+Pp5p06ZRVPRgTjBxsFWSsnQU+QYLn/wRTUJiAb4+DixedoY9OZ9SVqylb+TUW263y0ONSIzOIjnm+uxP7io5+5c+TV7LcEY2nUFdlZw3D7+J+/FEFFoDn2+O5od5h/6yfTdPB+RKOfXC3fh+1lCOfbGD3nml2CoEInvswCgoWLu0Jc1dbVmQWswTJ7Nuuu8tnunKsJ9eYP1r8zn5y/bbniwlkUhqjBOiKDar7oV/HEAl9ze5TMBsEZk752G8vRyoFeFJr4d+wivci0qtgZP77uwduiAI7Ej6ALlSQeP3V7HOzpbAN/rSctIiVGU6InclElfy13lrV555Bxd3e7oFvIHFIvJEmCvfNvPDXm/iaf/RrM+tZPCRT3k+1IUhRzNuWHy7Oi6BHvR8/xF2fLiSvNjMv3+DRCKp6W4YQKVJRA84s0Vk9teDadcmDKPRjEwm0KShP8tWnSHKzYYPOwbz0aE0yu5Q7l1RFImPzcVZZ+Ds6/0JdNBgqDRwfmJP8mJziFvz95OkNiw6iqOLLRaL9fvckAAn7PUmNkT5ELfnG5LCnLFp5IPtHzHoLbf2na8oNY8lT35zW+cmkUgeLPfPmKvkX+HlaU+vbrVI1HnxZsIjnDiVzuFj1sk/P07owKTuEXQJcr7ldsdM6c3vR97Awdnmmu19R7bg45eX8ckry7E4aNAWlDP+odlUBLqz9tLN1e385ZMtfPXm6qp/P7w3mU4X8hjy5V6aR3kiBruxVW9BaRdFQNBTWBe1SCQSyZ0l3YE+4PILKli28jSny0LYfjKWP3b8X93Usd04jMDJ3y/ecrtefs54+bugUl39FQuK9GLyl8M4eziR3574haBVx0gZ3JxmHWuRkVxAWuKtJ8hXCtaECjvzKtijN+F9NBn7CDfmncuiXoOVuHt0objoOGWlfz2rVyKRSG6VdAf6AHDWKG54D2Y2i5TUjqDTqw1QnV0IQLjjSGq7PY5ekJNr40CPj5+85WN+MO53eoW+Rfu+9Qmt7Q1ASmwOH7+8jPLSSjpO7c/gb/cSu/kCJ/fHkxyTjb7y1hO/u6kUDPNz5LHLM3p/Ti7mk7gCtuZWcPH8a5w7PY6y0vO33K5EIpH8LVEUb/oHa6Uo6ec++qnrbiuKb3YQv+sRfsN9dsbNEBMvvCnOX/CYWLe2l3hg3Vfiqd0fie4+jmLXyYNE34bBt3XsyPp+4t7cz8TPlo65ZvuGuOni6nNTxTUdQ0TL4DriqIcaintzPxNnLnz6to4TZqcUnZSye36tpR/pR/qpkT/HbxQTpSHcGq6g0sT5vApO5pTfcJ8LfxwluGcdkmNL+WTG8/iE5VBcbKCsUMuOj1ff9rHjzmfyySvLOXc0+Zrto7t+QYsuUby85Hn2n03j+SgfUpLyee+5hTfVbksXDZ/X82LM6Syiyww3nGXr4FgfpdKFwoK9t30OEolEciPSMpYHTGiIK3PnPMy5C9m8/9F28vMrkMkEQoJdKa9sy8CB3+EbtI7fVn5GwvGkO3rsiHq+FOWX88gLHRk2tiMZyfkkXsympKiC8Dq+nD6UwOxp6/+2nQmhLnzdwJtHjmWwNOP6smhXdO2Zgo2NHxvX2WOxSJmEJBLJbZHWgUqsWrUIZPG8kQDs2B1HYaGWr77bR1Z2GSAQ0WAoU3f3JeV8HG93sFa50TjaIpqMqFSKqmosN0OhlPPKJ4M5fTCB8pJKZi58hsSLWezbfAHfYFfmztzCkqNvkpaYh3eAK2nxuTzZ8fO/bVcAIuxVxJYb/nI/H98haDT+lJdHU5C/VwqiEonkdkjrQB9kDvZqPv+oH8tXnyUltahqe9dOEQCcu5DNwiUnAZG4s8uZ/1Imrw2vxwvPtuZSehkjVkymVKZAppDzjseTBPs4Uq+uN0uWn/7L47p5OdJvZEtadonCw8eJQ9uiOXUgnhem9ScpJpvM5AI+HL+EzOQCkmNzMOhvLiWkCH8bPAGyMlcSEPgkLdtsJPrCmyTEfXpT7UskEsnNkGbhPgAC/J3p1iWS/n3qEJ9YwEef7aS8Ql/1IDw5pZCvPunPxx/0AUCZnU9EsCsTnm/Hz5/2p3VyHDZYUJhM6LVGpr3VnQ+n9WbbO13/8rh5mcWcPpiAh48T+VklfD99A/ZOGvQ6AyG1vAmJ8ib2bDpBkZ58u24cXQc1YkPcdHZkfMze3M848VoXCvrWIizUnWff6o2Tm90tn/uzjntZbmmEbfG627p2EolEciPSHegD4OKlHHo/9DOp6cXYaJQ0b+KPxSIiXE603q9XFH171UEul7Fm3Xlee6kzQNUazuMHwjBuWEZGZglGvZF3pm9h0zvdCPBz5puFT3LpQDyHzmfTa1gzfvpiJ261/Li0+RQ2dmoatQmjskKPrb2aL5Y/i5uXIwCZKfmkJ+Yxe8N4ajX0ByCsri8KhQwB0JXpqKeUYWgRwuxvHsfGXo3SyY7vXl9xS+feydmERmbGl3SklaASieROkp6BPmB6dotkztdDANh7IAHFgQRGFFeQ9GJnzB4OzP7xABPHdQBAXlZJ6p542k/eiLWOylUKucBTr/dk0hPNUJnNLD+WSes+9Vl+vpygTvXZ//rPhHvbsfT73dg5aHhnzkj8gt2qCg7Mfu8Plny3hxatQwio48uWFSepKL36jHJ0oCOdPewoHNsFhb8LdhF+KH3ceMp7ApWlN/8c9oUQF96NcufH5CLeib71RA0SieSBJz0DfZA9NqIJjRr68fpb67lw0VpcOjYulw5tw1Cq5WhXnWL3xoukqJW4u9lXvc9sr2FRdC5/Dp4AJrPIgq920H9YE7zdHfjm/Q0snLOHMoWG+oOS6NU1gvpNA3F0taFTv4akJ+VfU63H1l7Ne7NH8PKxOA5Fp7Ky5Nqg+FFdT9xUCmSjFyIC9TpF4RbgdkvBE2BjThnfNvDi7VoeHCvSUSfoYeJ1alac+f66fV2VcmzkAhm6+7M8n0QiubukO9AartWzPRgzfRAd8tMYPnI+52LyGDquCzOeanzNfi9MXMnm7bGEhrgybHAjWrUIYMv2WOb8dLW0mEwmMHf2w8QnFrDvQg6De0Xh6+vET4tOsn/LBVw9HchIKgDAxcMeDx8nPl78DG6e1mFbmVaPqFSgt4golHJkMgHFD7s4czET+xe74erpwIgWMykt0lLXQY1GLnC2VM9PfSLYmljE4ot5t3TuUfYqoruFkVhhIK5cT08vB0awn3KcWL9GiXU6EpyZ+zA6gwW3tXEEqQ3Y/RGD4RaT0Eskkhrrhneg0iSiGm7QZ49T5OFJgVFOWZmejq8MoNVHT6GXybFYrt5ZDuhXl+5dIvjui0GUluloUM8Xg8FMSLAr/n5OAPgFudK+bSidOobzxlfD6di3PrXr+XJsxyXen/s4vx95E59AVwCK8sqJPZtBTvrlWb9lOlq9vAjvVxYTfz4DmUxg/+YLPLrwOHW/HklQhBcOTrZM/WEkGlsVF8r0nCjW4WWn4on63jzfxPeWzz1bb2JfkY49fdtQ2KYeRQYT03geZXQ/QMROo+DY90NwslPx2Z6fedn2GBtUQ6XgKZFIboo0hFvDBazeTjtXDdnZ+cQl5KM+dBExOZOte+Kp4+9IWIgbAPsOJFG/ng+1Ij05eiKNHbvi2LU3nq3rxqDVGpn5+U5yTZDl4cqS304SmKWl84CGAAgqOTvXnMZkNFOYV0bzTpG8++Mopo35jeKCyxmQbJRkezmxel88301YSkR9P7avOoWDsw1GgwmFUg5Ai061GD62A/O/2A5AepmeTy/kklH61zVCq1NstLDq5UG07FmH0hIR3ZMfU3vNMq6ER1uNgrrBLmw5mobWYItgkfNj46dg+Qf/7KJLJJIHgnQHWsNNen0FzuWlBBhMyGUCI17vjbe/A6G1vKqCJ0BZuZ66UV4APDaiKX6+Trz2UkfOnMvEYrEwY1pvDm+9yLfv/oFMFJHLr/7qNGscSNL2iyiUcgY+2ZoeQ5vg6GyLrb2GwtwyAESZjJ7HM3j9Qh4pcblsX3XKetziStaNXcwJlyBS0ys5uT+enWvPVLUtCPBa/zq8M7DubZ1/7I7zGA0m5k2YS8jWBP7/3tLZaEbz8yFUmy5w9HQvcrx+ZutH9W/rOBKJ5MEj3YHWcFk55Zw5nU59PyfkMoFN321nmpPA4gWHiZzYEaVSzroNF5j6Znfc3ewwmy2cvZBF4wZ+RIS7k5FZwjMvLMfBXk3TjpG891IHdGoVpfZ2FOSUkpqQx4xPBmFytMGsUqBSK6jfIoTy0kqeeKUbfsFu5GWVYGevplJbfc7aPK2RUIOJnKwSXh38PQrB+s3OAogiPLEnjbgz6bd03hobf1zd2rHxm6XU33yCBgYzh/80NNvVww7BZMFsgbzEXXgdGkyg71gS47+4zastkUgeJFIAreGCAl2o7FqPdaGBrGxai19mbibUUYmnqy1TP9hCh7ahdH2oMVs2nOfArhhWrzuPi7MNU9/szp79CXz28QC+XPwME55eyIvPtcOokCNU6sDOFjcvR7Tlegyu9ogCTBzxEyWFWt79fiSnDibg5GKHXmfkxf6zkSsEjAZztX1cvDOaxfaPAiAXIKd3JMlaA13O5uIf6sHoL4azZ/1ZDj294C/P1T3chx6LpnJ89nrsL4zE138Y+spMZtbNI09v4seUYgDs7MKpVecDunmeBP5gTlIRMpma4NDn0VYkSQFUIpHcFCmA1nDubrb4BbljdLXDxl5JRJd2jHhyEWfOZaLTmdhxKJWVQ1rTtGd9At1teOaJ5iQmFZKcXMi2nXHokCG4OzLmtW4EKsHOYKTQzhYEgXmfbKGJnwMBI9sAMH76QC6eSCW4ljeBEZ508n4dgM+WjqFh61AG1pmGtvyvn2VaRIgp15PXJIQ/lr3IZ6+u4PfvdrN3w9+nQag/YRTl64bTYnBHDh15jrLoi7zhHYfJ4sSjxzMAUCid6Nz9EkZjKWmCltjyNVR6T8S2cjU7t9XCbKr4h1dcIpE8KKQAWsPFxOZhYzISdT4Ju7QSajVU8eU7RtxbTSP/xBwKMjNxLi7CViEQ1CQAgDpR1gLY23fHM/O9TUx4rRuVCdk4jWxNcXEZlUrrr42PtpKWAzugAzKS8ggJ9yAo0JUPJywhNTYX/yBXXniuLUGhbhgMRr5YMhrhbArTPt5OVkn1id1FoM3eFKJKLbwz3Pq8dN2Cwzd1rmdmbadHuyk823ojY/YMoEfwFIoDHCkwmrlUbgAERFMFnqVLyS44wctnvuSnep8TGj6BWprG+Kc9xZFCHdn/9KLfpND2dci+mIa2oOwuHVEikdxJ0iSiGk6usH7Elngd2gbu6N0dcar1EF6tJ1G/41BO7J+Igxzkf1oPXKo30/qr59h1IQ83jYzBfeow45Xl2FvMeJeUobuUTq+pA9HZ23B06wWe7PQF6oRMAsrL2LHyJAnRWSw88gbtRnfEzdsJuUxGnRYh1Hu8LcObW1P3tXOz4b0odxTC9f2+dDqNka0/5syhxJs+18L4U1y82I3KCjWCIDDh/Ul8lemG//ZcbIPepmPXC3TrmcDPjh/wluNKQKSo8DAWs5bPPDaxpmUAX9f3vO1rfSv8Gofwwp7pDPvp+btyPIlEcudJiRQeAMOGNMTGIDKsZwR5Cjlhkf48/nYhdqW7Wbd0BACiaM2Na7GIyGQCZmBnaF3Kl2xjUAvrGkyT2YLi8uzbSqWClHITepWC42tPU5lXhtlgwtvbgTenbkIul7Hq3DvYO2h4f8xvnDiYxDuzH0GWVcx7b/9Bud7E9raBdPWwo/7ORM7fxjKVhq1DscTl0N5BxaI8d8q0qfQb/g0y82N0brWVbXv7ICCiN5SgUrmg1xcgl6vRHqtDYmku6ZUm7NwdaRtcj4H+4zhmaUVIm7c4l5jOih/337Hr/2cNhrRiwJdPk3Yohu7aANIeCuHnXt+QcGT7v3ZMiURy26RUfg+yXVsv4eWoZv4fZ3ljUmfatglBnvMHgWHu1h1EEbPZjEKh4HJ+eeRAx8SLnJZbJ/4YTWZEQVaV1K/Yzo5gKii1seHxIQ1Qmi30eXo57i5FPDq+M0d2XsLRxY6kS9ns2XwRgMmj5gHWNH69BjVC/2Jn3vtux20Fz3Y9+tG1/1QGHp9A45ISHJjH5pQLHN+3kSEPd6Bv6gq8SOCYbSdiaIDZpKewYC8+voM4XqZGW2mijasNQ05+itnblQ3DuqJQ2vH0082omxnOih/3MyXSjVMlOuLqhOAe4cvhH7f+k4+hiqOfG87+brRNsGVtw5aEO2Xi5HvriSIkEsm9Jd2BPgCOvtWZ5sEueE/aQE6pnqYtQnh9Wh/aeNtgVCmoipqA2WxBLpchiiJ6uRyNxVJ1V1qqUWGWyXHRVmKQyahUKcgyCJzfF4v74E64oMfNYg2G+TmluHs5subXQ3zx+spr+jPxw4cYMrodAOWllZQUVDCm+1eUl95cwWtBIafnWydQnKmHqvBJfDN3cdLzRxKTfiI7aw3vPNuKKQ/VxQw8991JXELnk5Acxub1jigUThiNhQDMb+JD0KRhrLGtzfKJR2nc5EccXOPYubUN5JWS3TuSc6U61q+bgcpWzUeR4yiIvzNPSFW29sx8dR4zA3piX24i8+1a6CpuLVWhRCK5K6Q70AfZ7F0JtAt3J7/cwLTHmvJuhyCyVRbO5VVQy9Mes1JeFUTlchkmCwiAxmLBZBGxmMwoFHI0OgO5rs7Y6fSoLBZKjBbs3Zzo2SWCixkZ6IAKeyU7LmclGvhEa6JPpiJXyBj+fEeO74kl9mwGm5cex85BQ5C/E7VbhWHvaEO/US1ZMnvPTZ2PXKPG7nk9pet3s+eVc4SGz+DisZEYjcUAzN90iV6PtKCZWceUSW2w8fqd3kNNiKIZo7EQhcIRhdKJiecyaDGjFFXkaBzsCzhz6lmKCg9TXmZNP9jtQAoV3m4MtVVjNgrYCm0pYOVf9OzmKBQOdO6cws6zDoQbSmhsSeEH/a3fhUskkntLCqAPgEN5lbw6qzOjzAJPvtAefVIOoq2K919bx6/fD0MmCJhMZn5fcYZejzSnQGcmytYaUC9dyqZeHR8ASg0WkMvJd7THolBgqdAhA4pUGvwclcx48Xe2LDtRddyv3lgNQFSjAMa+05dDrUKZPHIuMWfS2bP+LB8teKoqcLfvXY+Vc/YwLtSVjTnlxJYbbng+pnIt62p1xawz0Lzpejw8u2AyFnPh3EsA2EW14mCHjhy2mNnRfypt2n5CRK0+xMfNwWwqp1XbrTi7NGPLBg92xCzFv1JDduYq9Pqca46zI0+Lj6Yn52cnY8rti67kzixxcXZpiVLpCKKJDlmvs2rHSkym0jvStkQiuXukAPoAEASQy2SMG9Mak9FEcpQfpeUGjp9I47fFJzh1JoPomDziEvJ5d/oWXhzbBq/HmqNWKQjwc65qx1yqxd5Zy+n4QiIa+OEoWCgHRIWM8jJdVfAMivDk69XP8+OHG9m4+BiXTqfx/thFXDiRgo2dik9+H0PDFsEIFhGLDD5+aRn7Np2nvZstX9b3opmzhlEnMv/ynIwl1hy7cTEfoNF4k5byC3IBzCJ0euFFBJme9O1+bNxyiQNH3ket+RGzyfqejIylVGpTMJlKEUUzKUlzqj2Gg2MDmjZdjt/BE3R2mM/i/F3//MMANDYBgAUEBSdz3iE2/Zc70q5EIrm7pAD6ALgUm8el3AoaBjjhGpuFziKicLPn7JFJKBQyWrcIYtykNQT4O2Nro6Rzh3BcnG0BWLH6LKv/OM+Zc5l07xJB5w7hbDyaxkefDoLCcvy0OnI0Npw9lMjAhxqwds1ZNPZqDIF+1O1Yh079GvDzR5vZvuoUQZFevHX2R0IcykDUIcpkVJRq2bvhHOWlOvYI8OypLLbl3fydXmHBXvbsbEArFxsODazNxLPZ7Fn4IabiT9j5/UcAlBQfv+Y9SfFfkvQ37QpAiN9DKDDQ1XkzrpUFwD+bAmDNdjSe8HrTMGoM2BqM1PHO585MTZJIJHebFEAfEDbuDhhlMordHVFbLMhkMq7Ut/b1dmDbH89SUlqJk6MNH3y8jYb1fSkr07HpaDqv/vA4r434ibXrL3L0eBpNGvvx3Zz9aLOKeW1cW4QyA606RdK4gS9r15ylUqUhy9aJvoPqIwNOHUigvEzHy6u+YszutRhVCk50aYhSIWLvaMuH88fxxRsLSYnN5afL6faq88nvz+DsZs+zPb6+7rUKs4VcvYlCg5kzKw9yZmW7W75Grko5vb3sWJZRyrtRHhyv9QZGUc6SjEdxUafSsnsLDm0ZfcvtAiiVrnTqdhG1+vLMZx0YUXP6ws+31Z5EIrn3pEQKD4gBbT8n+lgqPkk5rN4czbhXVvHzTwcwVBqwc9BQWqYjLb2Yn389QniYBzKZwPMvrcLN2wEPXyfsHW0AeHdKd775bBCntlxgyW9HidWKeDmoKL6QzqvPLgYg7VgC2ct3I1pEju6KYdkPe/HwdWLF6TBWWlpzzByGWasFQaCs2JaCjAYs2PcaA55o9Zfn4OrhgLu3E4Ig0KjJdAYNLaZZ0xYAnCvV47UpjsXp1meJGo0vcrntLV2jNyLdWNjMj8G+jpwu0fFYxVjyYiYRU1ZJnG0L3GyeQBBu/J3TzV7Fsuda0D7C7U+vCMjltqhUbtbs+CIgWnAvWs/WYz/cUh8lEsl/h3QH+oAw6E08Nm4ZHduFsnV7LAajmQ+n9UZlowLA3k5NZLgnAx7+FXd3O4YMrM/I4U3YcyaLd8f8RsK5DCa+0I5Va89zKSaPlmf+oC22HDs+BVMDP14c/gsll9PzBUd60rtrGCf2xfHq8J8IifLmmzUvcPLIEkoro3jEeJGLptqUmi1kJfrQtt8lRFHBxeMpADRpH056Yj65GcXXnMOY7tY7T1EU8fJ0QURNu9ahHD9x1HoOChk5vcI5VqbhM5eTFOTv4dD+rjd9jX5ILuK4/0byaqmIi/+MldsX0bzlWp533Ebfkvk8oopAFE03fH+jACcebuZPfrmBfXEFrJ/QBo1CyWexfyCXaxBFC2q5kalRM3liwY+sz8i96b5JJJL/HimAPkDKyvSs3xQNQICrDR9+upP33u6BRq0kNbUQo9lCWKgbubnlpKUX4+xswyeTu5BjY8OKr7cz7tm2pGcU06HHHJ6hElEQiRBMnNpwhs8/6s/eA4ksWHQCB2cb1i86Qu9HmjPuw8GcPhAPgLe3GkE4xVmzE5/uDWG86jhdxNOkN2lCTkYRcecz8Q1246uVY0m+ZMvLg5dT8H8Td/5/zfKWzS/SoP4MNq69GoQsooiNXEYHZwNz8ueTaxPLwFd7s3n2fow6AxbLXy8VKVA1RmvTCBu1kUZNfsHGNgRP717IxIsIZiPnNq/9y/fviM6j9Ue7OZteAkCUtz02Sg2KROudcGHBfs6fncCq1Wdv4VOTSCT/VVIAfQA90sKf38e0IN7NkbScMoIDXVGo5AT7uvHDrCEsXHKSbv1+5PWXOxER7sFH320m6UIWA/vWZfZPhwCYS1s0agXnek6iqEyPg5s9/q0jSC4x8MEvT5AQnUVpoZaSF16m4YBMKkrj8A1yo8zJhnSjmYbFe7H0rsvLzx+gToWlKsjmpBWxem4SpvKXcfcsuiaA/tnZc1k0ajoflcqdo4f60sbVFkEQEEWRvJjxrBjZHKO/J4Zu8ciMWhzPNeSMyzTs7MI5dnggf54U1LrdTiwWI4nxszCZirC3rwPAAuEVFshfIZdQIPUvr+3hxMKqv7f8rAhv34EEh5kRBDlu7u1o22EvFosRgyGPPTsaIorV10iVSCT/fdIz0AfQpawyYvO12Po6s37jRRKS8tm05RIJSQWEhrjx+sudGDu6FWNHt8bT3Y5je+Pp1iUSfz9njMarNT11OhPtun3HzthC8lycsPVzpVGbUDYvPU5YbR8EhYB/XCLheSkIMqjUGhje7ENcPRxo1jGCQ9ujOXgwiY8nLsVstuDl74Kbg5qw7DPsWjaC2Oh3//ZcnF2aExhYjxnv9kbu40hlmAvfluoRRfBJLyBwfzSvmN+mg+IwzzYbg49nZ9w9uiKTqa5rKylhFnGxH3Hp4mTiY2diyF9nPQbW9aGubm3/77gt6dTtIi6uba9rByAs4k0aNP2dkPA3EAQ5ZrOegoIDaCuSQDSjUroiCNVk0ZdIJPcN6Q70AaNSyRn0REueWXeJ7hUW8gu1dO/3EwCdFCLnztlQf0AjnnqsOQBxSQVkZZexaMlJysp0bNkWc017SnsNaxYdxdFRQ1A9P9RqJQVJ1pR0Jld3XE/to06LYGztNVgsIv6h7sRfzCC8jh++Qa7kZZXQsFU4b3/3KJkp+Tg72RKm15FbtIXzcTd+3njF3p2NGdivDiOG9UIsLEcuFykxi+wu1HGxUyMabD9BN+V+dqfn87n/cmSqfHZvj6p2OPfSxSnX/LtctKGL4QcqlGHsKC8hP29H1Wu2tkHY20diaxdCUeGBa97n5/8oUXWmIQhyoi+8Q3DIs5w78wK5OZtu4hOSSCT3CykX7gMmKtKDjatHYzCYUKkUpKYV0anX98hlAsWz+pNWWMmT6y5RWqbj8Rc70254C8rPp/D7zwf5bfGJ69r7ecfLRNb3wzsxk+xQa0L0izujkXVuh6dMi6tYicVsISkmm7A61tf1lUay0grZtOQY+zfIadhwCx2HbqNBu9PI5QLZcTlsWnmSRd9dm9rP1laJSqWhuLgcELF3qEOTduEoVClQXEFcQh4R4R7s3G0dDm7RPJTtfhocEGm7Lwdlw904ONZhx9YwKrUp116XOh8SGPQ0+/e0wcu7Lza2IYSGTwDAYChCJlNz7NAAioqPYDFXAqBUuWE0FFzTTtuIEFzqxqHX55OW8iuXLr7xzz80iURyL90wF640hPsAGdAmCFFnpKSkEpVKgclk4fW3NwBgtogETN7M7PRyRjzcmAnPt2fF0pPkpBUS6udE00Z+Ve0oBFjZwo9Xw11ZOnsPgslMTpA3Lhn56Mp1dG3ghTo1BaMgR1umY8vyEwSEeaAt12GxiKhtlLi42XP+WDKj3+iIjV0lu9bu42BsM/LVLvjX8eXZqf2u6/+SBc/SuXsOrdttQRAUtG67lTdn9WLKt0/hrrfh0jtdWPBxf5o3sdYb9XRX82FWGadKzSgjviPm0jS2bPS6LngCyGQa5ApbPL370KLJB6wZdZ4hoSsAUKmcUShsadVuK736FiIISoCq4Fnbx4Gn2gahkAvsf70xz9b6jONHBknBUyKp4aQh3AdERIMG9J70Ki9mrEVmZ0OOYIuTQk/3LhEcPZ4GQFCoO69M7ESF1oBCLmPCq2t4uOmHuDjbUFp2tVKKg0LGYF9HAmyV7GndgZOCFwqzyMi484ybsY1Hn2nDxVwtnR9pjq2nI50HNESukBN9MpXaTQJRqZU4udkx/v0BOHvo6DzoB8aMPcJgTRN8KePcCTfUmuhr+j+g+SfU33QQJ00exepsBgzciBlvvn+7LoZKdxTeY5FZnmL7pgucu5iNh7sdsz57iNi4PEZ/0BVf/4ep69gai6gnPXUBcTEzrmn/4vlXuHj+FeRyO3wdLUT0LCa9ZAuYu6JS2BDmGE90ST0A3Nw7UpC/h8bNFpCft5NvBkfTILg2l8oFPt4fyIX43ykqPPMvf6ISieRek4ZwHwT/a+++w6Oo9gaOf2e2ZbObTe89JHQCoVfpRQFBpFpAbKBYETteLlcs2FBRsCMWRAUUkN4DIRBKIKGnkt77ZvvM+0c0mhfwer2Wq8znefZ5YPbszJkzu/nNOXOKSo3PP5JQh7Sja9I9vPVIJJIs4EIi/WQ+0+9dg6TV4aiq5frrOlBoCiD/2AVKLxQiIOI/qBvmnELMF5vmp1WrRYI0Im4DetB1/Rs46hvQeBjR3P4Ie1w+dHtxFvvHP8ijc/sy4LpOyJJMl92pNJoM7OvRlRCh5VR9b5/RYY1th+vdjugiqzFva4XaIWKzlbNzaxiy7GJ+vzk867+byjGd2Kpqz+r185s/X1y4jm7RQSwb9ga37b5ITZAv372+jUk39KSxopwn+7Xh41PX8M3h3dy2ehEqn1xe7nYTsiQ17yOuzdMYjO0xN1wgO+tVgj1c5L90LTdvX0adww+9qh6LywMAc0MWVmsJvn79qKpMRm3bhSlkPrIsIQgijY0F7N4e9ftfV4VC8UdQljO7mql8wlGHtMNZls2g2DYcOtaeRpeaXm33YPLUM7dwDZmaADa1G8+BShVD1ywmvN7Mtm63MKPbLiq/qKMms4jtncazcP4IbpqcwKBR7+Dw8wYgf91uSrYdxNVxNp3v7oTaw47G04M17x+gc59WiMjo7U7KHBrWmboRmrwDc10jg0IlwiJ9CegQRaGoIcWyC5c8lgh9EUGOMGTpx05EzyW9TfmweBIaXHy3bScq90exWvM5f/ZtfP0GkVct0O/FvUxa8yBh7ULoXRvP471zMNcG4OlycEC/gcryQzg9RuAdE4KoEnH9JIBGRN6Bmz4cQRCorztJQfG3PLQhgDrBiEu2EeJRQi+vf/HyrjrCWi+nTaCGArOEIGgwhTQFc0FoeiLi5haIIGiUISoKxd+c8gz0KuAqz6F68QhqXhrFhB7VbCxIYHdjK/ZkG5l2xxd4uhrRu2yIHcbhOeJmXDY7Gg8DnZ+fw7DXdgLgFhLC/Y+OpPeMEazXxxIWYsJaUEKItRo3dx0F3+xm/E0aOnvkcWvDfl55bghPD4uhdXUt9kMXOGiTmVttpL29mJ6ROmpGjmPu/H288+wmTs58mg1d7sFl9cE/MZP8XfM4a1lFYs5NyHLTsBm1xotU8wv8c7GEwVDPkn8tIsjrFnKzl+LmFoSkjiMlp4YlNy3n+bFL6OmXh1qUMMlOOJxHuuNbPEwd+XLcLnrPPMrjHfqh1fo1l1Hy/j401KVTU30MT6/udOn2Cduzo0B0Q6XSUe9wo1OontDW76JXNVJgjiDcWIC3T3ckqSlQSlJTXkVRg6dXwh97kRUKxR9OqYFeJRyZhxDcvUitbGDuqM+YdWA2luTJ+PmIvPvIKgSVCrdr3yZ2dCkqnY3yg6kUbT3AsfpADLd0JNrDwjVj44mzV3KgTuSLlbeQkV1BXNFe3rl4lsxADx6VUqku01Pv5Y53XAAhmnhKYoKJLqyhvWQnpKtImeU8W/ae5XReBmV7j7JqW9O6n+7XzoXO/TCe1FLYWIA0YSwm+zAq7m/quat3jyIgcAQGkz8bt0zk/IWVnD1fyvYNd3E+4zWefxVUKgOF54opPFdMRZQeiMBpc/GZ83aqRRNWSxF+ER3Y9vpgfE0DGXX3dez8ri1690h23qsj1GsB/d7tTKvYeajUBiTJRsaFVwgNm0RK9nc863gMAItLT6h7IWaHAaB5flybrRRkF7k571BTfeSPv8gKheIPpQTQq4jnvau439yfypEdGNJ3Ci5VB9q068DWT3xwOuvQRmYQ7D2F8tpK/GdOBQmeHz6LgDe3c83+TynodgO7219P59a+9L9/AHGt/Ek9WUhC/2jKanqxr9bI7urBVNYV8kLhx2h6xGCsrCOvbydqRQfHpRBqJR1uvg10uGkMloIy8lZvxWm20KvgK9LeOcepjBzMdWfRvX8HuH5sAnU5zSTM2ECHUdVYr7+X5B1PoNWoiNaK9PMUyR/xNEcPx1GqDqSsdAsf5uQSMjiYVRmvMWPu1zwhvceRQz3J1ZZQpvHCYKuEumMEBF5Lx85vsjrzM7JtN9CmnQFZlnG5LIiiGsllRq+PICJqFo2upp+LjIrCxlCsliKcrgtkXXiFxsYcPL26Ult7gsqfjBdVKBR/X0oAvYr4nltFRU0hrtpSjhy4DX//oZSX78LpbFrBJFBTimXCcAIa69kx5TFqT2USMLgHvT9ZhEsWcIhqnNFRJJ4vIPmRrcT5asnJKWfdyX/QpqCGk9kWtlk6MiJKpKTPAHTWBiwmA50uZKM3W/iqTxeqNAb8e+qpTDmFZ9vWTKh4kobXj7LJbyerDudz87Gm3re2o+ta5D0gaDS2qmiq8qvJOPsuHm5q7E6Jd1/bxcuT4nm+90KKTpdxb+g+PEwdaT/gAhk+oRRZU1n81v2MGb4Wk2dnOrWS8K7Lpd/23dzuVs5jPe6jovYEJ50TUKub5qwVBAGrtQijMZbWbf8BgCiqcdgb0GiNuFw2rJZCNFofMk4/SW1tKggC7TsuRpZdbNnoiSRZUSgUf29KAL1KDB0cy/uLw1n8+kesig6iJuMQNdWHWqTJzywl7pV3iTLIROnsXAjxR+NpRO/jicPSNHNP0PA+tJt7a1MtzWLD+vZqrot7BqdWS49l8+nu/g7DuvsiN+jQumpxqzUTdLEUrc3BuXH38NiN3fng7rk4S0/jamh6Zij0bMerH+7kO6ueoYkrOHrvc9SeymyRt4s5y/joidOobAdZOqU9U3smcDjXjuTWj8yacgy2UxRWniHj4lC0wVPIOTGLnBNQV3sak6cKzJVsnOWidHIQuFWwNvI6ytwH0NgYgJveBTRNt6dS6QAJozEWAFmWEEUVAKJKg9PZiChqMBhjAEjovhKA8rJduFwW7PYapfOQQnGVUDoRXSWys6s4mV5Ebnwvrk1bQ/j4QZdNl/b6F8wfGUibd59l8I53GWkwszhzHcPLzwHg1en7wOJ0oXZ3I+b28TSa7Yx9YgIPDDURPrATm906sc49ntr8Wtodz0Btc3DN0mT2pORzrNLBpOcWYkjoSuT0wQQ+vITyB99kb+NXODrNwrdHBzw7tGqRp/6xPlzffSD+AcM4u2gMozoGcqqwjuNVw3j+2KM8e+Qhxn1whD7Z1Zwv20dpySbq6k5zMvUuNBoPJA8nnaUq2phyOL6lM5++msL5D4bR2BgAgCRJVFYkYbOWfr/ii4i7qh4AUVThcjU9p1WpdKjV7oiipjlv9XVNgd7o0Q5BUFNZsZeR15XTrsPi3+zaKRSK/01KDfQqkVdq5tPQfvgMiyXYWsXAKDe+CIxFMlcjN/w4HV1FZSNzHl6H5dpGqholBoT506jRUe7jD7KMqU0UAGdfWckHjnKW/OMJJhdu4VrhIkFSHeOdp/lS1YMadw92t+6DT84hrMXVHEgrptuyp0idOZ5vNp8hKswEgNfd1zHr+Gu8X76bzGUrOL/GTJfwr9DGvUV0qwewVn/BW+Nr+UfK07SS1bx7+D409jM8sSULg0cp4QFqkgvXIEltCQ1vRWH+Z5SVbqKstGmGpfKy3QwbmcWi5HmYfE/j3VXN4YO9iPb1bAqWrkpEtS8+vn2BpmEtLpeVRjwoL92JRuuHl3eXK5ZrWelGamsCqK9LJzvrdXS6AAKDrkNGGTKtUPzdKQH0KhE3ZTiendvSqNYSu+s71m09j++ikzjy0qh+tn+LtDtTirhh/c3oM/M5XdKBf0Yl4OuqRyM5MEQEYy2rQnUkhe8evR9dvQWblzfHXSIxjScxqGT8C89TEtGO4/4x9OIiUqdo9Ia1GMKDAMhasoyS5BH0eOgazrdrQ/IN/Tn13kw+mRjGxVo9iTfbub5kCGe/9cTscCOtsASXrCYn61W+S38XkBl97lt0ft7sHHg7YbMGE1PxKsYqmcdmlvFxUhZv7spC9AxCO3kBKcfmEmeciiB0xT7lFHGB43F84kIQRLzcVdTZZWyOekRRQ3HxBpyOWvwDR1BQuBqbtYiO8UuprUklJGQCgijicJjRaAyYG7I5f3Y+kmTD3dAKlUqP1VrEtk2+f8IVVigUfzQlgF4lMtfuZsO0SMJUTnq+eYTc8xfxTPkcT1MpNWpVU5OshwGf7u0p23OEk0++SX3GRfz6dcGzVRyVwSYEyYWPuRpNaipjP3+YHfq2mIvVjNKeJdRRCw1O9pWLfHLf23TruJtBYzaij2gkd8c5LGYbSZMeRetjwlJUTuWBFLYl3EGhdwDvPXQrbV0SY/wKyShvJHlIJfYqJ3tmm7A6JG49DvAKAO/c3IUBrf145uQpxGuHMODb1zGEBeLKzOfGPUkk6I2ci/bhTbLQtOqFW8+JOOoaUJUbkSQ1XqvPU3x4LIKgwlNTzZNdF/PB2Zms2bMEldpAx/hXm8ssoesHOBz1aDQeGAwxzcuP1dam4uXVGYejGkmy4aYPY8jw81SU7+VQ0rA/4eoqFIo/gxJArxLOhkamz11Dx2gfLuZbGV+0i9qLDfh37oZoKcHc6kFada8koqeWxHEPcv71z2j35B2E3ziMvXctxa9Xd7rNH45eBxmVrehbcoF+wRrOagI4pI6krVSK28Vy0ntfS6+PW/FUw7uotDYWtxlHo6kE+AyX1YalqLw5T1LmRWK0BaR8kY53t/bErymg5OBJ4vfcwfS+wbzx1jjmJbl4pJ8f68/WMef1NdzWLxKdRkXgtp1UjB2OPtiPHhvXcVNRDufLQwldtoPS2gYAxHMniNhZSoDjHk7n3E/b1o8RsiOQMtS4gGqbiVlbJuPl3Qa/gMGEhk1pUWai4MKkE2h0yU3BU5YBGZNHW9RqDxAEgkMnU1q8nuKib5XlyhSKq4wSQK8ih86UcuhMKUN2f4DGZMBpCMZprSB6xmhOp4Ui6bVIjhIiJo+kZHsykZNHYogIpvNr81Hp9dScOUVOnorY0iR8/aJIKW5EDAeHqCFdH47O5CSktoLqEB88SqxcVJso/+I7XEVFDOkRwcXcSrIrzExICMEly2jbxRBdW8HbCSLbpw0hsKMfpS9U8/rUOABkWWb6gFb4yEWE+LWlTbtniV/4IvFhnqw9XkS74PfR+XqRulxgU8RCDMYYyhs+wiXJqNRGho7IwmGpprp+Lx07vYGAg2NENO9bEEAUtZSWfEdR4VcEBY9HpdLhcNSi0XhyX8e3GB6RxD17XyOvPgiVICAjUl95kKy8j+jRax2dE95jT0Uix1Im/olXVqFQ/BmUyeSvQtEzxuI/ahQXPk1hxNo5yJLExQ0HCR/dG1HdNGSjZHcKwUN7QQNkrN1N3IwhJD/5HbYO8+huPMKo/llEujnwli28Z+yLXVDz5M7V7IrrQkpkW/wbqxlRkk7/g8mcGtsbnc1OwuYjLN+bzYPDYmnUanC3O7Co1Li5nEiACnh7bw61027k9ppMgix1VDTY6PliMu17FVHfcI7E3V3+39kIjB5nw+Goxljan/dvbcPYpQc5mFVN76FbCPAYiCwKyJIaFU4e4XFe43mc6HC5HNhtpVRVHsTuqCAy6k5EUQuA1VpKf9+PuKlLLfOT59IoBXw/uYIbsuzC5bJy/ux82rZ/AVm2K889FYq/L2U9UMWPclZuJGXaHGo2ryT7040IokjU+P6oNGoEQUAQBIKH9kKWQLXTkwsvv8XuYXdT/M5iHui6m1n9zuHprua4NoxUdTBOCTrU5bE5rBdpwVEA3JabiLc/VLUOZfOKJNxOFYJaQ3h0DFanhN7eNFZS62qaMF6Qmu7NhnUO4fw1A9G7HFQ22BixJImc0ip2bIvgYOKAphMQBHQ9J+IfHs26e3siFo3kYOJAvPV2fAxaQrz0gMyppBtICEhFltSYKEctO2hDGoPYhCzLqFQa9O5hhIRNIjrmXn76cxAEFdvyBvLwgRdolAKQJBepR2cwPa0D0ytfRqMx0mjOotGciUbjScf4pWg0PpeU9XB/A54a5WemUPwdKb/sq0CHf85mYt1Bhqd8hsrdrcV7qQ+/Qv63u7GUVl7yOUEEx+hKbn70WqLUZpxWG8W7PmdvpoF3dl/DOZcfo4pPc0dpMhnuQZQGm7Bq3VBJTgxOG0HnCwnIK6dTQTk9HznFMvs1TGglsu1UCcL3x1ABAiCKArIsk1NYzcivPsXDZsHXqKN7pBcAd/UxsvOhLsSHetKjb3887/oIz6kvckNCKBvu9ibWu7h54Mi4Qc/Rtv0LvNl7PM/oH2N2zMMUVGfQhlSW8xj5Xu3w0ZVhNWdQVrYTQRBwuexYLIUA2O016HR++Pr2/f49G6KoIix4NDfoKule8honjt8JCNhsZUiSk6iYewiLmN5cdiqVOzO7zmJ7vwhe7hBAkE55WqJQ/N0oTbhXgUmNh5t7kG7tNpW6M9nN76n0OjzaRDN42zLUeiPCD3MESBLk5yEGBHCv8yi5meVM77uYSZtfQj1oANknPIiMr2dO8T5yBA8+SrcSNGoAktPJkRse4p0ueg737I93WABJnXth2boP1aLXeWDmQAJqK+kQ5IETEGUZURBa5HdFUi455WYeHBZLncWBu1ZNnc1BVIAnktOJTi3ivbEVDalbebkvDG0XwKjXk6i3Olk4YxGpNXdQbfPGU6xgsryU9+UFNDYWQmMmIQEd6RV6gqnhX5B2MACnJLBUfAGAhoYMkhIHMHxUHpLkRBCa1iTdv6cb3Vv3Y9G1Dby0JpVjBVZ6j2nAaimivGw7AUGjKS35jrOnHsPhqAbAP2AUQ/quYiavklO4idmhNsYk57OptOF3v94KheI3pTThXs1K9x1FcrpImb2oOXgOGRTLoGHtuKFsD8MPrkRjMuKqUCOVaJAcTgbYs7nPJw8/rZO8fYW8/eo+5p14h/u7iwxpOI93uER6Yjiv+Yxgc2gPuunM5Lz0AYduW8DFnSlc+8o+NtWoSErog3tlBdND1Nw8JoF37ppLWptOuBC4aPRBllrek1nsTnadLefZTef5OOki0f5GAkw6jl+s4WNLd3RqkZUH86jduISZ7eKZM6Qt36YWsen+vrz/9kS6TqmkyK1plZQbWm9mcZtJVIS6cHcPx91vMDUuH7blD+ftjDn0IJF+ws7mY7up9LRp+0/q686gUrmhUrkhyxIORxXRxhMMaeNN+zg/7IZ2AKjUBmwNF3A6G4iInElUzH3N+6oo30Fa5ke8abkdlS6SM3U2chrtv/elVigUfyAlgF4FEq+dwxqPPuSu3NC87b2lE3n7tfFIzqb5aK2VtWCqZ1zjXhbmbKC0QaIEA5jt5MR2YskL13Ov5iL7qyMoa9BRkWekstCEqsSC1/49zI6ycWfFaY711dI60AhA3pdbAbB8sQH/rdvYOecBHLkF5B45jwoZh1rDR31GUYAalwyPbW1Ndl04T17bBoCnvj3NoexKnv7mFFPfO0K52p+5zMCgE4mIupMyw4d8fqoHDw+Lo0uEF7FBJtxEKxd29kRjPsqCLWfJbBVDUVs78WOwYQAAOuNJREFURJmbTlxo6iR11BLLMP+X6HduKC6XBZOqmJv1G4mKmY3OLRjx+3VIDYZItFp/ekV7U1Rj4eOki0RG3Y3T2YhG40mvuDkY3CMBMJk6NJevLLs4d/pJurnlcavfRb4qcXCmXgmgCsXfifJg5ip13/ytJHy0CLWbDgCdtwep815lzNPXUlZZy6kqNSc8YlBr1JS17YixUkNMYyVbrR2pPFyLf08LCSNz8fZzsHmphGws5q5+8QTUl9L/wwUY0/yR0g9hzivCbdZ0VtdWMSD/PFsv1rMkNYgq7yjCTPU8mLKdGps7Kp0TjddUlqc10N3tQQDsTpk+L+wD4KMZXZmp2YTF4eT9GhdTEvQsGjGdrAoZo5uao9lV3PfwRqa6a5gbGMUuQ3digrzw2mPBXfZGnJ9M5tTjeHv3xM8rngGOLWzO02PWhqNS6alz6elg3I1Xw0SqtN6IyNxb/BCvByzG4ahiVMcu+Bl1iKKA0as9otaNE0H/4oYLQ6lR+RLgLCL9xAwEQAZaxT1GcOgkUoUEZsnfkVzc70+60gqF4veiBNCr1Nb1JzAfyiV4SNOE6oUHi+gw/262eHlQftpGwDUxnN0VhpdXGSH6WhrsOq7fl4g11s4Xg7qi9Vehyc7kzEkBe7c5nO+cS1X0Hr6ROlDj1puC4tZEDunPvlEDGLL3I7xlBxrJhWPUUB40nSHcp5ECt0h2rspkWHQjVqcWR80X1JTs5t4jJ1rkVaMSmNk/CoCiGisNwgTOSI+zMWcFE2K38MmpQfTY8S+Swj1RAQur89E1pmJzT+Dc9uH4D+qCaVF3CvI+o6H+LN4+y0izXIMxwgdNq1rkapnKYBsPVb2HpTiJnOy3eMzfl32N+Rw405MO7iKtN5yhPNKbHrLMVO9HWPvAa0iJUeQU9UOSnJSJ3pxvZWJzg41JxS7adXge+ftabHZNEaFdN5OT2Beno/YPvMoKheL3pDThXsVKth3EZXeQn64nK3cgpxd9QGniMfwHdMVptVOxZS2R3exIToEKg4k8Tz8qPL3w9NWRYLlIwNZv8LV3pWuSCm+TRK3ghuiQEWUrI3IX0nHzLNrNmsTbh9Yx8txRTgZH07qkkLQBndjUoRcbv0pkyrvlPJS4CJ3KzmP9z/LZbeG8OqkjKvHHjkUOl0y/F/cyZ9UJov0MzOh+kaFhe/FoX8KMMQ+R5V1Bu/EdaewaAte1xbNXBHd3WY6P7SV69f2OWOfLBFimMGDQIdp1eJFTaQ+TWZ2H5qkcPJcVIrnV4lfshsnmTVnpFtp3fJkUyYd38pOprz+N2ilBvQ33tCK2tPdnxugIlu1/lqIFd3D44HU4HFU4VO6UaWOoMXTFhA27tZia6iPs3dUJu/kC7oYYVKLbz1wNhULxV6ME0KtYxpurWOvZj8PXjaFdm+20fewuggb1QBAEKlPSMTXs4HRiMGcOx5FbAccHd6aqqpAdq0J5+e1oljzyNZUZdryezCQ81Yz/hSIONgYgaDVcFMtZ8c0uHCdOEVxXSa+iLLzNtYxPP0BCfgYFb33O4edXUFW5n683dANkfA1NzyfvGdSKW3tHtMjroewqon3dmf1pKg999h0xzqcwVJ7AS2zkQOFxiPahtnMIUR8fI9TPwIi4Gl67LhONrx26/zB9oIwsOSkqWM2hg8PJ/OhLcldt5sDWoZSVNnUmGmvU8HHlHL4WvmZdbDwAJ2wu9OcquN05nBv8DrHi20puXXEMZJnysu3s3dmRg/uHMjP4a9a128n2Np35JqcLBxP7M1nM5rD5IbqY9+FyNf5Rl1ahUPwBlCbcv7HIuACundqdT1/fjbneesn7+iGz0AWFEBpXjD4iApWHGxXnqgkId2dKDw9OGQeTKhYR2FONtSGQtd9+R9sJg3Dm+KEO9OGf70/ngueXOCOuZ3dOJKVhw3H3kdDKTmIev5OAebPwyc9Dlfw1KpeT1pUlxFcWYMt2Y8eHq5C/78BUVGuhqMZCqLc7ABdK6zl2sZqzz45ga0Ykz3xzAC91LvNGtuZIbjU9n9tDkLcbS7uFceRYCl/lVdF9+xlCop9g5f3DyPZrYHJuT7yyW2OTGlCf9QfA6WxEq/Oh7zWJJCX25+Qri5rLIiX5WpZGtec+fSm4oFr0ZSCFDPBpxXG7CnPDBVIkXzrqQpi3X6aqsgoPUWBr5yBKIry4cf0hzp5+jOCQG0mszuM0NmSg3CVTgYEySwmSZPv9L7pCofjDKONA/8YeeG4cE+8awNO3fcz+zacIifKlrspMQ11TMPVbkoto9GbgzecRBLDUQeLiYtp3dRI+IQwRifrt+3AfPoTGeg0hxhquq07li5LW7Jr3Buu+HEHWuRKWZ3nh1aM33nGeIMsYd2+jrvc1CO56RCRGF6VS7jRwLCyO5eveZldIGx75/Di9wz2IOZrCc5vP4+2u4eae4UzoFsKjX6fz4sSODGkbQKXVl0N5Ot7dtpYai4MCWwClNg3OynReu28oJY/MYcMXh6ld60bnkPn46CsIuu0g2e2jsb8VjXTeHZ3aCgLs2X0DbdsvwMe3L3t3dSEoaCzBoZNw04eQeWEx7lXbGCXksKHexuiAEJ73c3F++GTiYspp9cRaSutsiKKuORAOdNewN9IT2gVg2nyBequzuexv9NBy1ubijN2FuwAhapFMh/SnfA8UCsV/RRkHejVK2XMegFbtg/H2N7I65UleXn1X8/vVLw4j0vtbfpjHwM0D3Dtdw4WzBvKP+tBaW0lg977sW9WGrGR/akV3nlhynG+GTsFZncudt6/h/rFvEzgwAc9oA6LkBEHgYGI2+yY8gsrlRBZU5PsFYRDshJcXITqdfPf6Grq9+TjqR+5m0Q0dmN4ngpn9I3nuhvYMbhvAjrkDGNYukNNFdfjrqxjbppgN9/Umq9wMDyQT+NwuIoIDuL+jiRtXLKO0fgKdQ+YjSOVMHfIJp+KiEf0cCL52QGRYaCLhtqeprTlM8oEhnKxaQr8Rx2nb4VlMnp3Q6fzo0OllvOM/Yp333eSJASTrzOjv64PGuxan08YP95k9xndk9nszae2u5UlfPa/U2+iVnN8ieEZqRNaEmVgT5oEIrA0zkRHrQ6wypZ9C8bei1ED/xsKi/Xhx1e28/9xWDmw9xTPLbuJkcjbfrDjYlECtxa3vzYzdOhtBEJBlsDWqUGFFlvWkbQ/DYlXjktR0H5OF0atp/lp7bQMaozuCSmRzzLWED+pK5JOzMMVFcIP5BF+5YtGYjIRfOEtBXBs6Fp0jo1wiK6OQ0EkjiXjsGaKDTAyM9aVDXRlpBTXEh3k159vqcOKS4MvDedx+TQyyLJNWUEPbYE++bRzIFNN+7vo0FX3baOoH9GPrxyIR4fdScuFDqop2YRj/D+JreuJpNePn3UAf4y6+zphBXd0pzqQ/SlzXxfjq4y8pL7u9Gq3WG1mW2LOzHZOGv8M10fXc3vZTzr9xgKM1FoqWTCfi+q4UJzzFQ0JTjXJQbg2Wzt+g0wezf08PQMbSxgc3UWSf2c5AgxarJHNHUT2rlLGgCsVfzRVroEoA/Zu64+NnGDg6grcmLyFlz5nLptF2vg6v+1bjH1FFTEIleg8XlcdO47K7qKgbRVmZCbGhHEOEni4jC1GpZSSXC1GlwlpRg5ufFzfn7OHz6MHgdGESbDhQYVHp6JNzmhPGAIaXZHDKqSE7oQdln6xnpVcZJSodPauLAJBoWmbT5ZLQqptqaE1LjQnYHE7Mdgkfg5bhrx1g/ug2DGzjT53FwbT3j1DyyAKK5Wm4J6fgZRxAfjsHdZ8+iCv5G4aOzMHTZMbcGET3hCMcOtKeirLdqNR6/AOGcfjg9Wi1Xvj5D8fXbyDuhgjstmqqqpLw8urBgcReBAaNZVj7MB7qsoO4tek4JRmDSqQyyg+fixUIogAuGacsMyTwO3T6MHZujQQkyuJ88FMJZNldxGhViIJAg0ticlEDxzzdKSus+WO+CAqF4r+lNOFebdrd0pkKby/Cr3vwimnsZ/fQsPYflOWaOLopmhNrbGQVjUJl7sCyvqu5IToJQ8ZTdBtdgLWsFFmSsH4/FWDG8q8AyPKOoEN1LqgE6lTuNIpNEzN0Sz2M7WwWU9IO8I9zicguCb8x43n0+rt4rd0MoKnzkAiohKaxnlml9d/nTMAlgU6jZsWJjpzIryM+zMQr2zN4Z182vZ7fy+b0Ek6/sAKXTaK+LANTkYSpTEAT0hGHo4at33mzeeto9Lo1nLtNjTjjLEEhYxmsqef6c9cS23oeCd0/IePCIurrT+N0VBLlmMGp4xPYuS2U1h4RbNfvx/3gs0x+eT86QaDcJXHCpuLTxsexzbwG6Z6+rLl9Ek6dFsPRa9i5NYKmWwIIzKgiKKOKWJ0aUWiaKN+oEll1bTs2r5vFNcPb/R6XXaFQ/IGUXrh/U8VrzuDeqgtHpR5XTmS30Lj1ddC4Y7z+CSpKPFH7GahyBVNjd8Ozk4TheDAnn15K3H1TiU8+wvy3ljE/t46U+G7IskyyZwyyLPDDsM3GWhUaq8zSkXexLrwvXj1DEDw9yKz+mqjxNyKiptZNw2mbDx08q5BpWo1FEARaBXr8WPt0ajlR2oUKYSSPHxjAtmkfUuOSmbrmNOdK6un02UaqXH2ID6qmUdULd5uGtkdEhBINDXoT/k8dBP9Qdl5MpfOFYzRWl1N56ksW6fZjtmSQm70cD1MnwiNuQ6P2wE0tsex6dyRbBJ8dsdN96BpM3RfQ9zszS/fk8KQ9kIWaUqrwZ5f3rfQx59Grdg/jvj2ExuXi8xAP9jbaudaoY2ZRPV/W2ylzyXTKqmJnhCdlTolOeg1epwqJencvD5ktJP4B3wOFQvH7UQLo35BoCuDTugfhhMCSW1ZxUvUWL82774rpbYe+QBPZmcatryO7HNT6hHFnwyf4R9bhKFlNxpur0JiMRN12HSnuYRxr1ZZWd3VtXuFFdDlxSGrUatAbXFjvTcAZbMHUPoZ39p1tOsiGNFIfeRV9aCCaAQ/wlq+WN7vA0bA4OhZmc6a4E229s3AJUKt1o1TjRd/gFEL1Z0nztPPw+jM8+vQoJrpU1BzMweThT2mZFpexhvaddlE+XkPFExoqzn+BoDNAYDg+jWasZdWY3riRheJC3vELJuHQcWQkdLr9aNQeGAwxHDwwiAgfPS+pYlh/ohjZ5mB27kyCQsz0jAljUcUgGoNuRVswGW9VUw177eGh9Mpdioamqfs8VQLXe+hQCwJzffR8+f2zziitmkCNiq2NLtroNWhx4H4ggzUlyqosCsVfnRJA/4Z+eFDdNqAI0VOkUuX+s+ld5TnUvjWl+f/O/DRuOfsECU6Bjc/dR8cIIxfqVJT6B7DgxZcozTJSd76IaWUpTK/Zx+0TH0DWqnHYobbYHW3XWnT9qwhw70n1sbMtjmUpLMWy+mmib+xIvSMW57GTlIsSoYZirC4dVpVIb17iTrbT2X6OSK96Qk0yUz/KZ1vmKgoKaqmJMFH/1AQ63pNK6wfnsDSsljcOS+x0e5S4dguorjxAw4KhpN7qxQvWhRxTe2HFSEjQKNSaV3A4qrHZStjynSeS1BTo8qosLNtwlg5aFQnDY1FVGtma3I4TbgPo53iBVHshTlQ0avwZXPs1nSITOVKuwa/ail2S8VIJmEQBOzL3lDbwsLcboiBjdsHiCjMf1tjY5zDxvp8DvUokSqP6Ta+5QqH44ykB9G9IritD3VDGeYKZ9/Fk6tJWXzmxIOL12BZUftF4Vn1G50dHsueOz7nHL5tYtTsFFRkMHxXEjGNdcTpETP4OPHyrcXXT89HhQSTt20nNKBF3n6am2KIMPXGzL6IzutCkhFzxsI+vPcWEMd3pHGjHKFsQKMWBiFaQcH+pBy/lZnHHP4cQE2Ak2z+YhA8XkjRpHgD3lwg4OvXHrtNzoO0YNjUeJF0YBIC//1ACAoZxMLgtex3nOG7uRbR4hg+kJziV8R4ORzXRMQ9QV3eKyordLfKUGOmJ77A2nBg1iQUrH0TvqufLzDjKXXBN6UMABNtymVtyP/YSNVqcoG0ZCGVZxkOA14KMLbY/6ONOrcuMiqb0Mzy1PF9p+fcXU6FQ/M9SOhH9TRU93onaLx/HoRNxVeVfOaFKjSa6JyqvIKx+gynO9kc/7jmuO9WNDgt2sHrKYuauq0Yv53M+KYjY6mIEEdQaCOvfSMnsGehMGqz1Mg01Osr2pXFkxjyyT/hR5T71iod9YGgrbnD+i868hs8jm+m/LJ1Y4R06Fc/iYuZ5fPUqYgKMyLKMs7qeL0sOMKNv0/R+y2ptfJR1gbL7gihImMbM4Z9Sou2O3V5DozmXCx6HUXe5nlmnQ8hwfcq5GjsXLn5D3sWP0OmC6BD/Gh3iX2uRHw9RIFqrQptagMZdwiDW09l0FIdOR93QjtQIWkRBoFFtAkCLE4ckY5NkKr+fUckpNT2/HWTQYvv+vXM2Bw0uCTdRIPD7WudFdWu0bpHoWq4jrlAo/mKUGujflcOK4/QubKd2YDv6DQCqoNZ43PY2DWv+gTooDvvpXXiOv5du1+VSXWqkqrgNER0K0OpsHFlZjs3ui9d1HxF7P6g0Ms7GbDL1geByIX3f+0eWJLLf/4rzX5zEePda7EU7qNq8h1rXG0jlOWg0Io7LzMCTVW6mp+U4O7MbsMQMof31QylCQrf3Dc4tGonK6MMHOTounkxm2+lSUp4eQqRvU1O0++jHMY57Csve93n6whzW0JfkVj2pWjoR7A2gcSPs1EPERy6iMH81buFdMHkH07fNzZQcuImjh8ZjNue0yE+9JDOz7Uh8nh1P3sEitEX3MrnuBF8+MoPiG3uQen8/zu2+nQcj+3Nb9StYJAm9KCLLMpsa7Ez30jdPSKEB3M9XIgOTTVpWhzYFXZcsIwkaIp0XOGwYzpehOYwvqEehUPw1KQH0b8xVkkHtGzc2/18d1gFtq17oe09FP/A2ug0/jYe3CFoH3tpStKkemC9aKc6KwPvWhSRcew9VRXpEdR0AZ3cbMX/zDL0//CeW/BIM4UEYI0NI25OCLa8IfcVFHJmHALBse4OQYBP7jj3Kl2tPsnBVLW79puMsPo/cWMNuvQnLA+Mx3vQqXvd9yfbjX2ALEUk7m0HpgHZo3CN5KuJx6t7twDMDQhj22n72XGggIPA6LP6tAOg+aDjjuMBWc3/Uhu6IHj5IlQ2IHgG4Zj5Ow+5D9K18j/NtJ3B+oAfeZVaOph/no4pSHqw3N5dLjEZkuqcbq9NtrH/gbQIrCrkl+gyv6nfToWI/KpNElW4XJwo381bFFm6L8UYvNjXeCILAMIMWhyxzzuqgk17L3d56AtUinioRi/TjzYNKEFDhxIEad1cdVU5lWLVC8VemBNCriO3oN1Tmp+OqLsRVmYPx5mnYa1XUlblhOaAnS4jkpprdnG0046x3cOS7VgTHVZN5TENY2xoc2mDcO/bFWl6N1suD7JUbiZkxlh7v/IP1ocOofLITogB9Y/045dJir6uhuKSOkpJ6PG5bjjogBllyIVvqENw9sex8G6kyn8b9Kyn/ej6yZRbe7hoqK3zZ4ezOirDXefuFjUQK+3k8dj0XXb1p2/5ZTu6/j4qS83S9YxAnNO0QXz9OxcnpSFUFhEfMxDjzLWokC/PyH2C0Po87Mj+iNGQ6UtIiMq2NHGx0NJeJThdI52EniahbzYC0x8HgjUGrQlO/igerP0csgu0FkaQl/wuQyHQI2CUZ7ffjdmpcEiEaFbIs81W9g9X1Do5anWwJNyEKAiVOiVsL6/j0+1ooQLHdwtvFO/msVplcXqH4K1MC6FXGVZoJgCP3JBX5MziTGImMGlFw0NvxGQdd/XEKJjpdV8b5ww4aKqB173qOborB5VAhBt7D1i4xqD3c8e7aDp/u7bjwxqrm/c+ePom3+7tY2uo6vnrhHa4ZsRwAdczdaFr3w+OGf+KlMpD73FC0bQdinPgvxPxd+E++hpyVG2kT5MH4LiH0rEkmRK1nP51ZS09y2wym1nI7eblRNFSn0029gqmtvsRX24jKcz4Dul2L0T2WrMzXqPNx4MTG3PSTpHhoedr+DI+9M5ddqs70NNtxOH6cTk8QVFhFd047NbwX4sHwjEp2WxwYhNvoHxzOw9sbid12nE0FjfTx0PJNvZ2tDTauN7nhkGU8RIGe2dVsifBkgb872nNNTbcxWdXsCTcRrVOT7XBR43LhpWp6Bhqh1fB5bS1mpQKqUPylKQH0KuXWcxLFWf7I338FJFlDsjAJ1+481N6NZB33xyuoHqnkNKI6FJdDxMPXTFBMHeXaQDq98DStbmiaTadkRzIAWh9P0jvfxFbSqT5sY9rcqcTNWciGi/HYjqzDu3EXHr71DHS/wKGgauzX9qX40Ht0ndebvu63kSt5sKY2is7/epuOISbMd6whRWgNuHChZeCMrqxZNAsf3/54qWJ44+OpqHwkXDoVwoPuyG/JVFUmMWnZUnw1Km6K74BTrWNH9DX4pxymf6e9lJVuJyX5uuZysFqL2LLRBAYNpwIMLJnYidpbB9H61S2YcsooU4Whlp3M6HQj02qWsb7OxsziBh4LMVFXZmaOWuTrMA/erG4EWWgeQhStURGtayrbBX7ueKlUzZNEACwPNnJrkTIWVKH4K1Pmwr1KufW7BY/pbyGIP3bElpwOBJUKQRBb/LEfH3CMjWWd8Qq14CrPpLqhLYJWz4Cp52nIKWBnz6lIDicTKvYio8bp1FE+djbhe97i5LZQqss9AIhrdYbQPiLd15/k3UPn6fbCZLI/+pbsFd+Sems7ItxlWrGc6ifa89LoSBwNEbw26E3q9F50qv2Cc28/RWFOJQARUbMwzHiNyjAXtyVt5cy8YFLf+5ya/EAmd2yPUbZzU/JndC1Jo909R5GPZuBxMoOS4vV4V23hvN3VojxEnzA8rp3Lug5nKX+4F22X7SLuvW3oRRVO1KhwIiI3Nd96u0HfSKixQHJTD+cjZjvnHBJbzXZW1dnpolORGuMNNA1tkWjq8i4IAuUOJ/stTiYXNtAyFwqF4n+QMpm84lKatgPRJYxF07o/qoAopMoCVEGxCHXF+HpqENRaqp1GpgQfZVVx76a5cI+uw637BATZgZunQOP2N6hY8SwAfb95ByG0K+eeeZbKbRvxHj4ezZSPkSUBQRDQe9jwT1pPaaspWKVS3A7dS9neo9jKqrimZzxxkx9n9YFzjOkayergzXyc5uDx+M+x7FtB/WeXzulrunEx2kHTmfb+eIKK0qhrPYgVM78EwMtSQ4PWgNZhxa1Ah7Tva0raq+h1MYntRZu4o6iej75/Bimq9PiMfg5x7J30yk/mXsdaWh08ycnsC0w0thznaZUk3L6/6ahQi7jbnOhFoflm46TVQZecWlRAZitvor4fJ9ooSbgJQvO8uIIgML2wjk/rlNVZFIr/ccpk8r+1vn1b89IrNxIW6vlnZ+VXc5zbhzqsA5qw9ohadyRzNYIgYvDxppIAQsnH6ZT59FwMQafWEliXhaDRI4giHtZdBIaXIZuiMU59CYDjryaRcbItNu8BoHWnIa8S+ftOqLIs02lwPjEvxSOdeICGlTOpj34Et+vmo/E0kpiSxofzbsZ+eid7gycy7lgcD7y/hapFA2nc8x6ib8Ql+XfaKhHdDLxjBqNKZFHNcaLXPUnDppd5f8Ns3tv0AKLsIvyrAZCxELc+UznT42YONDo49pP1O+NaP0UP9X0gSRzybceNX6Yil+ZfEjyB5uAJIFgduKvE5uApAZ3dNHR3U+MCOmRX83JFI5k2B3cW1bcInrIsY1FuRxWKvzSlBvor9Ao1cahHKKt7jiIx9zDL3zv4Z2fpV9MPmY3HtKYAKFvMiGiR9d8/GpckEFU0rppLdc/zlJrtdGAuCCpql03DZFDR5tVDdPCqZMM5E26BPjQc3Y9bjwk4SzKpXTYN2WEFVPg+d5yAmHr8hSNkl12DSV1DaZU3Kp2Ir08up8cl0G/NK3jFt2broIdxleSC5MJtyGw8pi5Gqiul4Ym2PP7MP/jI907KPpiN/cR3CHoTsqUOD1Ggj17NDrMDGWhrMBDxxFbSdL4Ur7iGpEYHA+1BSHXlyOaqFmVg8uxMTKuHOF/5AXZrKa7STCZGxjC9Ux/GZm2jyunC+/tA6ZBBc5kJEM7aXbxQa2WAWsVDpQ00/r9fylwfN+b7uuOt/jEAH2iwMyC/7re7mAqF4veg1EB/S937RFHiG4DZz5NPPj/yZ2fnv2I/tw971mFkWULQG5D1GkBAlmQkWyMADYkf89axQpYdL0IT2xt1WHtwOXj63QW83nULd8QcRR3UBu8oHS/MtuLIPoI6KBbT7e8RuTiFa99YQuveBdRX6HkyMBuNy0WAaMf2fA8kp0B5USB+b5Vgk4MQ1Wp8n0nC47ZlAGhjeyEIAtb9n+L5dCIfh8zBrjOhad0PANnSFIDqJZnt3wdPgHNmM3tXL6Ruy+ss6zaLna2H4So+f0nwBKirPcmJ4zOxXExq7qW85mI2Mw8f4MNaO6Pz63HITbVojQC1zpZPLmsFD24tqGOYRsUb1Zbm4HmftxvWNr501qmI0qjwVovsrvtx6MoPQ2EUCsVfkxJAf4WPN59jXkMd8x5djNns+Pcf+B+m8g5BE9UNQWj5VRBEEVdNMXUf3Q2SxMIuS3kz6iFkhxXRww+AN6tu5uGzU/h0WyVubjYq8ox4lJegCmnqnauJ6oK/rgHDDUGEtm6ka5tkdtWpeFH9GL6aDUw4shyTbwOojYg6d86sSOW7jjfhqqtG23YQup6TqPvwLsofjsajfW/wi4NGFeKRrZi/erJFfnsYdPhOeRFt52sBSHBTcaTxKN0u7KBPQwELDGfoZNL9R2VTWX6RO4vqOGN3MSa/lgZJJt/uag6Q1X4e5E7sidDWyKN+eqZ7ufGEr7758y4ZHDQ17T5QasbtXAVDC+tpnVnF1II6Blys/Y/yo1Ao/rcow1h+BXOjnc+/TP2zs/GbkF1OcDlBpUaWXAhi03M/WZbRBLfGXFeB24AZaKJ7InqF4Mg9jso7FK9HN1Ofvo/cbuMYnDAQ+/k6XIKWez/1wq3Pj88OnbKK4JzzeAgObtNlUmM249EuEE9bLcfkWhqiCkms9ABJonHLEpAlzFuXYLrpFbxue5n60A48NiOa6XEHuPl4Gzw2RFCSUUPJ9/tvp1WRfEsXPKO8eSejmidHPoj95BZaa1XEu6lpU13EawXu3DWgI6aecI1ORUOtleMHMn9xGZ2K8cJXJfJQaQMqBJYHGzlqcfC8WsOiTiFErUkh2OgGwCB3TfPnltdYWV5jbf6/7fvAm+GQyHAonYcUir86pQZ6lXOc20fV84Nx1Ze3CJ6CIOAoOI0sOTHd+gay5EAd2Aq3LqPRRHZB27o/jpzjtNt/L9fq9xLuJ+LMT8N94O2IWj2S3Yrj5f4MKnwZ/epvucVxARHw8TGg0aiIcnNRftxE4rF2TAg7wICbMgl//xwq/2is+z7E5NxHXH8b8U9P5aS6PecaAjHLOtQOmZCwyc35b6X3wDPEhBxoZOPxbdS9OwOAL+vshNf68O3DiQzq50B4shcLP7yVf310G/NX3t6iDCaEeNDDy+2KZXTI4sBdFHgv2IMjFgfzSs1cl1/H+wUVtF3wLeeHtaPw+2bdt6qUFVYUiquFUgNV4NZ7KioP/+bA2dyr1FyNMzcVe1466sCm+WdlWUa2N1L38ijio9SknI9m5JNFGMeZsRz8AldVIZK5GlfRWezlVXzm+wJLe3+AVl3O9/PPA6BWqyg/XkXrqCJGe6TxdlEP7MSi7XszlvWLqD2wizr1QACygaTiNjguniBn/3hk+49BKiNkHrednEHyqnlcyD7R4ryq+8/EENKO3c6x9EzZjhhmYnedTECPWFr3bsWFQ1l46zWs7RlGRoOd1juzLls+2XYXLlkmyaTnoreBV0uanrtmO1z0UIu02XmWHzrjxSjrfCoUVw0lgF7lRFMAhlFNYyx/CJw/EHRGDJMWoY3oBICrvhLR6IOoM3Drrb15epoPL2aNYl1eG0SdO5P76zBWr2D5l00zE6ljemI7s4eHhZmsMSwhyP3H58V1dg112deRF+jinpPT8IqxM65uK5a2CVRJ7/JJ0Cr+VbudLzyHoSo9h8MjjLpVc5nlOsVkbzfGmAUaJJmCvI85rNJQGO6DWBeJVHGx+RiN6xeh0ehYmPMF3utL+LZ7KCtyaug+sScX0wsIvX4Q/b58iVvvX0jBgT2XlE1nTx03h3mirzQjCgLdTXoOj+/EnL3H2Hu+jEybk3idiiVVFiQZnvJXM9PbjVml5kv2pVAo/n6UAHoV07QdiLbDUOwZB9G06oUgqpBcTkRV09dCHdoelVcgALLDTs1LI/F6bCsqDz9Ohs9ib+UJUrJFRIM7vQxneGZ6IGZbMO9vqkIwBeH9yEZs5/ZjLctn50kXt/SBrNxwBJOVx3ImYG5bgErww6r1pqxAwD+jhPe73kFnUy4+DZ/jI9XRt+QAxxpEXIHt8Z77Hf7f3s/Awj34qpoCqNmcSZZzE963fIfqcA/qPvixeVa2man5fC4PG7VUuiSS05pmDUrdcw4AR50Za0U1e7PKKKtobFE2E9o/zEyTRH//w0wpT6ePzUWow4RHKDyV+BhTP/SC7Bx0B97FLsMrVVameOrItl+6dJtCofh7UsaBXsW8Ht2CtnU/Kud3BUFEHdMDz5nLL0kn2SyIOj2Wg5+j73szAI6CM1j3fYg15WtUvhEMHjeId2YbEAQYuPsOCp7sicfNS9C0H4zK3Qt30caYmu8oOjQFD88avpE34dZ7StP+zTVovI247Gp0Dgs2tR4/Sxm1WhPt67M56d0e65G1zBFrqU/+grWnj1DslBC9Q5GqC0GtxW/MS3Q23kvmgQe5mHvpOfxUjL8BT72G1Lyay74fqBJ4v80gxsrp/Mtq4J85F5uHx4ztHcVN7z/OvpXXUVGpp8+gt3lsxkJlSj6F4u/riuNAlRroVazuw7tRB7dpHvvoKrlATW0phlveQOMX3pzOVXwWSW/CeuRb9H1vxlmRR82rY5AbKgBwNtaw46007s9oy6ibx1D7zXOEeEhMfNiN4rSt7MwZQKNPKJ8VBtOlcj+ZF05Rf24BkqWe0MGxCK27UnbkDKrgTtg0TcNASp0CVGVS7BdI/erHsR7+koVhAhZJ5i2nhLbLaLzmfEH96sexn96FJDkQaxro1GUpbvpgzp/9xyXn+8S0LgQMbMc4q5kYgxr3Oeux/GRO3OhWDyC6rJxxW0uR7QTjSs1sbKhABowGLZER3mw8lEvOLTJ+wQ5UKUNYsDJbCZ4KxVVKCaBXMakqH3tVfott9tM7sT/ZAf1188BpQ1DrsJ3cgqvwNADlD4Qj281NQ1++56YRuW9wK/rcGE9CNw1LF24kIMKP4shoPKRSYkPsPPP54xRpA9jT08gXfnsY/aaa46vm4gx5mHoGIXqFIZurcdaWYD+1E/O3C9F2vo7aygKcuce4YWwH9s/szcL7vwbAVZaFI+8kzvx0DNc/ibrHjbTbNZNwjzEcS0m/5Fw7hHjw8C09uNAtjvytJ/hsXWqL4AnQrsNiXM5GvjyxikKHxIaGH4eaLF40mmtHtGXMjR9x6uS9cPI3uwwKheIvSgmgisuybH7lsttly6WD/4e0DeDlSZ34NCWHScuTyMiqICOrgtj4cYhPrqLBEc7w0iQK3QL5oOszBHkm49d5EJRsJ+uVJfi+OgdB1CAavREM3mhC2+PWcxIq72AaNjyPM/cYQwfHEd0mgI7XLyFx+R24is5R/ewAAFxVBYxs2MGrg1wIwnq2HThIcVHLPD4yIo6Aokq09Ra+2HUWq8XBO8+NRz52kXd2n+V8rZXD+3phlyW21V26zNjab9ORJJmLedX/ddkqFIq/B+UZqOK/plEJ3NY3ki2nSimssxMxeQTlSSfovfJZbMdzCGozksIiP0pd3lR+9gBoPXC76XUavp5P4/Y3Qa1DcPPAc9YKtG0HNu/XnnOMxo0vYE/fTpdOIfS55gD5hRG4q/rx1drDzek8O8VR/UAnXDTdEX5xzMZN72xCpTLgcjX1iB0Q68uWh/ph0KlBkkEU4EQhUpdQrFuz0Z8pwIqKHo7J5Jfvp672xB9biAqF4n+VspyZ4o8RNLIv13z7OrmfbyZiykj8s89R2boD6pRsvpr+Is6LJxA9g3Af9RCNO95G+mkTslqLcfILyFYzll3L8H5qF6JXCOX3+qMWJNZ+MY8A/0Dy808w+dZPETz88Xl8O+qc/Tz4uB+2dUnUnHkAb78qrBU5nKqbzN5dnbBbznNNnB+h3jrmDI6los7K8EAj6nobxPqxf7cH3dL3UK73Z2bHPTSc3cuRQ9f/eYWoUCj+lyidiBR/jPL9xzn17Hvkr91J6tyXEbUaBr88B5+jp+k+dg05Bdsp/fZeGr584tIPO+00rHqk+b+WfSsQPYPA5UTQiIQG28jLP8mdc5qeg4p6E6rAVvhZW7NvUj/S8zPo+9atPNx+HdZzKpZu6sbhRyMprQtgcBtf7lx5nJ7PNY337BhqItxbj0GbSb72JXbcIxGmtqDZpeNMwUt/SFkpFIq/NqUGqvjd3Ti+Ey8/N4YP8vrxYU5/Su/1+lX7EQT4/1/X8Nh7aRUyjO03reZAZimvtn+F9/XvEdxQSZK6Db1sZzlaHIyF1tz38SecuXjpHMZqtQdpL8zG4dTyRWV3Xnx1wqUHUigUVyulBqr444gaNZrO16HtMBKxIpsxXWvYlB2FbWc6vVI/YcOv3O/lYlp+5jJKcpazxL8D47oE853rBWiAMpWJPs7zCMCeXSoSdUPJLH7hsvv1NzjQR9URW1fFYJ9CXlSCp0Kh+AWUAKr4zYi+EXje/REDH1Ij291I3toeX+r4ijKOlcQy2LCHRy+++KsD6JU4XDKPrz3FhdJ67pvYmfBoP0SbTKNTh+NgLmrtTag92mP0aENVZVnz54a3D0CSZXadLefRd/cjeXqwecNfe31XhULxx1GacBW/GV3/6XjOWEq3oRfoYc2mf2Ia8eSzPjeWF8PuQHhpBFUFZ6iRfr+vkaevgez3J+NT2TTcRpIkzCfqmX82iDf3ft4irW35eFySjPuc9b9bfhQKxV/eFZtwleXMFL+J1loVn1sjGPm2nspt3ixM+hKVSiRQ1UC8voi4T+4kO+/07xo8AWorzbzxUTJ5DTYkmhYG3zrjOopN5y5JO+W9FKa+l/K75kehUPx9KU24it+ECHjmGjk410a9OoBRPEX/oiPYy3dQa89ne8of1zT6r+/OgZc7o567kepGLWuiBpDTJxc2HGuR7tvUosvvQKFQKH4BJYAqfhPn7C5GVDyF9+ZybP4eHNrxJhdsNTzj+HNWJ8nx9sTppsWklbl9/1Ymv/7Zn5IPhULx96U8A1X8LfkGmkj8ZjZ+1dX4FlSinrXuz86SQqH4a1KGsSiuLgaHg3anMhEEcAr/Pr1CoVD8p5RORIq/pRqLA0luaj5Oz1cmgFcoFL89JYAq/pbqLE5aP72d9xJzmPyu0tNWoVD89pRnoAqFQqFQXJkyDlShUCgUit+SEkAVCoVCofgVlACqUCgUCsWvoARQhUKhUCh+BSWAKhQKhULxKygBVKFQKBSKX0EJoAqFQqFQ/ApKAFX8T4mMjCQ9Pb3FtgULFvDII48AsGLFCsxmM0ajsfn9JUuWIMsyvr6+zdvGjRuHLMu0adOmxb4bGxtJTU3l9OnTLF++HEH4/eb58/T05J577vnZNElJSb/b8X9q4cKFDB069GfT/LScfy979uyhW7dul2zftGkTnp6ev+ux/51fkocr5X/GjBksXbr098raFfn4+LB7927q6+svOX7Xrl1JS0sjIyODN9544zc75vvvv0+7du3+6/3U19cDEBwczNdff33FdL/kd/T/RUVFcejQITIyMli9ejUajeaSND9Xdr+UEkAVfzmZmZmMGzcOAEEQGDJkCAUFBS3STJs2jf379zNt2rQW27OyskhISCA+Pp727dszfvz43y2fXl5e3HvvvZd9T6VSAdCvX7/f7fg/tWDBAnbt2vWHHOvXGD16NLW1tVdtHn7tjZzVauWZZ55h3rx5l7y3fPly7rrrLuLi4oiLi2PUqFH/bTYBuOuuuzh79uxvsi+A4uJiJk2adMX3f+53dCWLFy9myZIlxMXFUV1dzR133HFJmp8ru19KCaCKv5zVq1czZcoUAAYNGkRSUhJOp7P5fYPBQP/+/bnjjjuYOnXqZffhcrk4ePAgsbGxP3usnJwcnn/+eVJTUzly5AgJCQls3bqVzMxMZs2a1Zxu3rx5pKSkcPLkSf75z38C8OKLL9KqVStSU1N56aWXGDhwIImJiaxfv54zZ84AP96FAzz22GOkpaVx4sQJXnjhhV9UFjNmzOCbb75h+/bt5OTkMGfOHB5++GGOHz9OcnIy3t7eQFPN/cYbb2w+p3/+858cO3aMtLS0FrX0H9x5551s3rwZNzc3Hn74YdLT00lPT+fBBx9sPt/7778fgNdee605OA8ePJjPPvsMURRZsWIF6enppKWl8dBDD7XYvyAIrFixgmeffbY5Tz9tQbjStfh3+f7BggUL+PDDD9mzZw9ZWVnNeQW4+eabOXz4MKmpqbzzzjuIonhJHubPn8+5c+fYv38/q1atalEznzRpEocPH+b8+fP079+/eXt4eDh79uzhwoUL/OMf/2jefrnyi4yM5Ny5c6xcuZJTp04RHh7+s+V1JY2NjSQlJWG1WltsDwoKwmQycfjwYQA++eSTf3uzuGDBAj7++GMSExPJzc3lhhtuYPHixaSlpbFlyxbU6qa1R35aC6+vr2fRokWcOHGC5ORkAgICrrj/qKgoDh48SFpaWvN1/6Esfmh1at++ffO1OXnyJLGxsZf8jn6JIUOGsGbNGgBWrlx52XO/Utn9J5QAqvjLuXDhAv7+/nh5eTFt2jRWr17d4v1x48axdetWMjIyqKyspGvXrpfsQ6/XM3To0OYfbmpq6hWPl5eXR0JCAvv37+fjjz9m4sSJ9O7dm4ULFwIwfPhw4uLi6NmzJ126dKFbt24MGDCAJ554ornG+9hjjwFNzWoPPvjgJX/8R40axbhx4+jVqxddunRp/kMxb948UlNTL3n9tEmuY8eOTJgwgR49evDcc8/R2NhI165dSU5OZvr06Zc9p4qKCrp168by5csvuQOfM2cOY8aMYfz48bRv356ZM2fSq1cvevfuzV133UWXLl3Yv38/AwYMAKB79+4YjUbUajUDBgwgMTGRLl26EBoaSqdOnYiPj2fFihXN+1er1Xz++edkZGTwzDPPXLHc/9N8/39t27Zl5MiR9OzZkwULFqBWq2nbti1TpkyhX79+JCQk4HK5uPnmm1t8rnv37tx444107tyZa6+9lu7dW87iplar6dWrFw899BALFixo3t6zZ09uvPFG4uPjmTRpEt26daNr166XLT+AuLg4li1bRseOHfHz87tsef2S6385oaGhLVplCgoKCA0N/bfl26pVK4YMGcL111/PZ599xp49e4iPj8disTB69OhL0huNRg4dOkSXLl1ITEzkrrvuuuK+33jjDZYvX058fDzFxcWXTTN79mzeeOMNEhIS6N69OwUFBZf8joxG42XLJDU1lXbt2uHr60tNTQ0ul+s/OvdfQ1nOTPE/5UpzM///7evWrWPq1Kn06tWrRU0Qmppvf/gDs3r1aqZNm8bx48cBmu9kZVlm/fr1bN26FYCEhIQr5mnDhg0ApKenYzQaaWhooKGhAZvNhqenJyNGjGDEiBHNQdhoNBIXF0deXt4l+0pJSSE3N/eS7cOGDWPFihVYLBYAqqubVpB55ZVXeOWVV66YN2iqEfyQp9raWjZu3Nic3/j4+Mt+Zt26pvVRjx07xoQJE5q3T58+nfz8fMaPH4/T6aR///588803NDY2Nn9uwIABLF++nG7duuHh4YHNZuP48eN0796dAQMG8MADD1BcXExMTAxvvvkmmzZtYvv27c3HePfdd/nqq694/vnnf/a8/pN8X86mTZuw2+1UVlZSVlZGYGAgQ4cOpVu3bhw5cgRoupEqKytr8bl+/fqxfv16bDYbNputuTwvl4eoqKjm7Tt27KCqqqo5Tf/+/ZFl+bLlt2HDBi5evNhcQ8zOzr5sef2S6/9b2rJlC06nk/T0dFQqVfPvIz09vcW5/sBms/Hdd98BTeUxfPjwK+67X79+za0gn376KYsXL74kTXJyMk8//TRhYWGsW7eOzMzMS9I0NDT87O/137Vk/JaUAKr4n1JZWdnc7PgDHx8fcnJyWmz78ssvOXbsGCtXrmwRXL29vRkyZAidOnVClmVUKhWyLPPoo48CPz4D/U/YbDYAJElq/vcP/1er1QiCwAsvvMB7773X4nORkZGX7MtsNv9Hx543b94lNSSAxMTE5ubA/5+nn+b3h2a3K52Ty+VqkSY9PZ0uXboQFhZ22UD/A6fTSU5ODrfddltzs9zgwYOJjY1tfj7WuXNnRo4cyezZs5k8eXLzc6iDBw8yePBgXn311RZ5/yWulO+fS/vT9IIgsHLlSp566qn/6Li/JA///ybv3y3U8dPvQk1NzWXL65dc/8spLCwkLCys+f9hYWEUFhb+/Inx47nJsozD4WjefqXv0k/T/JJr8u/K5IsvvuDw4cOMHj2azZs3M2vWLLKzs1ukMRqN7N+//7Kfv+mmmzh79ixeXl6oVCpcLtcvPvdfQ2nCVfxPMZvNFBcXM3jwYKApII4aNYoDBw60SJeXl8fTTz/NsmXLWmyfOHEin376KVFRUURHRxMREUFOTk5zc+PvYdu2bdx+++0YDAYAQkJC8Pf3p76+Hg8Pj1+0jx07djBz5kz0ej1A803EK6+8QkJCwiWvn/vj+d9ITU1l1qxZbNiwgeDgYPbv38/48ePR6/W4u7tzww03NP/x2r9/P/PmzSMxMZH9+/cze/bs5lq4r68voiiybt065s+f36IZ/cMPP2Tz5s189dVXzZ2pfmrnzp2EhIT8Lue3a9cuJk6ciL+/P9BUzhERES3SJCUlMXbsWHQ6HQaDgTFjxvyifQ8fPhxvb2/c3NwYP348SUlJP1t+P3Wl8vq117+kpIS6ujp69eoFNLUsrF+/Hmhqop8zZ84vOqffUlJSUnOfhMvdFABER0eTnZ3N0qVLWb9+PfHx8Zf8jn6ogV7u9cPN2549e5g4cSLQ1E/gh3P/rSkBVPE/Z/r06TzzzDOkpqaye/duFi5ceMldKMB77713yfZp06bxzTfftNi2du3aS3rj/n8/9wz039mxYwerVq0iOTmZtLQ01qxZg4eHB1VVVSQlJZGenv5vOz9s27aNDRs2cPToUVJTU/+rnoH/raSkJObNm8emTZvIy8vj448/JiUlhcOHD/PBBx9w4sQJoCmABgcHk5ycTFlZGVartTk4hIaGsnfvXlJTU/nss8948sknWxxjyZIlpKam8umnn7bogSoIArGxsc1Nob+1s2fPMn/+fLZv387JkyfZsWMHwcHBLdIcPXqUDRs2NHeeSU9P/0W9c1NSUli7di1paWmsXbuWY8eOkZqaesXy+6l/V14/Jycnh9dee43bbruN/Pz85iEm9957Lx988AGZmZlkZWWxZcsWoOnZcGVl5S/e/2/lwQcfZM6cOaSlpV3xmeTkyZM5deoUqampdOzYkU8++eQ/+h394PHHH2fu3LlkZGTg6+vLhx9+CMDYsWOb+y7AlcvuF5Nl+Re/AFl5KS/lpbx+r1eHDh3kV1999U/Ph8FgkAFZr9fLR44ckRMSEv70PP1Wr40bN8oajeZPz8df6HX0SjFRWVBboVAo/p/PP/+c9u3b4+bmxsqVK3nxxRf/7Cwp/jxXXFD7Pw2g5cDF3ypXCoVC8d944IEHfO+5557An247cuRIw/Tp0y/tAq34Q7z44otB48aN8/nptvXr11c98cQTJX9Wnv5LkbIs+1/ujf8ogCoUCoVCoWiidCJSKBQKheJXUAKoQqFQKBS/ghJAFQqFQqH4FZQAqlAoFArFr6AEUIVCoVAofgUlgCoUCoVC8SsoAVShUCgUil9BCaAKhUKhUPwKSgBVKBQKheJX+D+PaAovqAOVigAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "umap_fig2 = umap.plot.points(umap_model, labels = model.doc_top_reduced, theme='fire')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Key BERT" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "if False:\n", + " from keybert import KeyBERT\n", + " from sentence_transformers import SentenceTransformer\n", + "\n", + " sentence_model = SentenceTransformer(\"all-MiniLM-L6-v2\", device='cuda')\n", + " kw_model = KeyBERT(model=sentence_model)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "hidden": true, + "scrolled": false + }, + "outputs": [], + "source": [ + "if False:\n", + " kw_model.extract_keywords(dataset['train']['text'][0],\n", + " keyphrase_ngram_range=(3, 3), stop_words='english',\n", + " use_mmr=True, diversity=0.7)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Get Topics" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
topic_idtopic_0topic_1topic_2topic_3topic_4topic_5topic_6topic_7topic_8...weight_0weight_1weight_2weight_3weight_4weight_5weight_6weight_7weight_8weight_9
00nhlflyerspitchingcubsbravessabresleafsrangersmets...0.5439260.4945110.4899820.4879340.4862360.4835160.4788260.4706050.4665050.465697
11vehiclesvehiclemotorcycleshondamotorcyclebmwdealerscarscar...0.5779400.5621600.5595240.5287630.5101320.4945570.4768600.4745690.4716850.439867
22softwarebitmapmicrosoftunixsharewaretoolkitformatsprogramsbinaries...0.5366540.4856620.4789900.4766120.4628890.4483170.4405780.4405410.4337540.431742
33scripturebiblicalscripturestestamentchristianitygospelchristiansdisciplesverses...0.6120050.5718810.5613850.5560960.5403970.5119520.5056590.4929090.4774690.473928
44diskmotherboarddisksworkstationhardwarefloppyosdriversdrives...0.4402440.4014220.3953870.3878780.3867700.3694090.3655500.3610310.3545600.349896
55atheismbeliefsbeliefatheistreligioussecularmoralityatheistsreligions...0.5941710.5173810.4960430.4775270.4663890.4653840.4576780.4537070.4488740.438310
66investigationnewsallegednraevidenceincidentvictimssuspectconcerns...0.3583280.3485300.3403390.3388330.3382190.3285240.3208600.3159150.3119600.308561
77palestiniansisraelispalestiniangazaisraelipalestineisraelgenocidearmenians...0.5570750.5477870.5364020.5294420.5278330.5041610.4803190.4684820.4611060.455497
88hardwaremotherboardprocessorramintelmhzcmosvramspecs...0.5853250.5715960.5400330.5117100.4682070.4676100.4641980.4509950.4404550.417700
99firearmfirearmsgunsnrahandgunenforcementhandgunslibertiesmilitia...0.4919170.4639700.4568090.4475010.4444350.4439160.4170340.4006070.3968780.385042
1010nasaspacecraftsatellitesastronomyastronomicalorbitershuttlemissionsastro...0.6289860.5416200.4690680.4292230.4158280.4083910.4058890.4028960.4023500.390656
1111funnywhateversaidsaysrelevanthereadmespeakingremark...0.4663770.4528100.4202550.4201840.4188600.4156670.4133500.4131330.4084620.401234
1212salepricespurchasebuybuyingshippingpricesoldoffers...0.5861480.5593620.5538950.5111840.5082910.4962630.4923240.4807210.4754670.475338
1313modemmhzanalogaudioelectronicsradiosignalhardwaredsl...0.4977690.4420740.4412860.4376060.4355660.4251080.4154350.4073290.3989330.396407
1414patientstreatmentdiseasesclinicalmedicinediseasemedicaldoctorsmed...0.5034010.4930720.4435360.4387300.4349390.4310660.4069580.3813240.3541740.342139
1515vgamonitorsmonitordisplaysgraphicspixeldriversscreenhardware...0.5890980.5769450.5557440.4974640.4491920.4441100.4266890.4040460.4019850.393818
1616encryptionnsacryptcryptocryptographycryptographicsecurityencryptedprivacy...0.5712330.5165760.5012720.4909770.4902160.4896340.4874980.4639050.4526610.435769
1717mailcontactemailmailingaddressnewslettersendmessagemessages...0.5849250.5694210.5657840.5570630.5391730.5074780.4883850.4880420.4819840.476887
1818xtermxtxdmopenwindowslibxmuxmuwindowscreenwidgets...0.4640390.4350880.4284970.4245570.3936890.3923560.3888200.3724110.3434070.339043
1919uhumsoerahemyeahohhm...0.6952860.6927960.6731980.6332550.6314340.6283810.6257110.6226540.6000810.599870
\n", + "

20 rows × 21 columns

\n", + "
" + ], + "text/plain": [ + " topic_id topic_0 topic_1 topic_2 topic_3 \\\n", + "0 0 nhl flyers pitching cubs \n", + "1 1 vehicles vehicle motorcycles honda \n", + "2 2 software bitmap microsoft unix \n", + "3 3 scripture biblical scriptures testament \n", + "4 4 disk motherboard disks workstation \n", + "5 5 atheism beliefs belief atheist \n", + "6 6 investigation news alleged nra \n", + "7 7 palestinians israelis palestinian gaza \n", + "8 8 hardware motherboard processor ram \n", + "9 9 firearm firearms guns nra \n", + "10 10 nasa spacecraft satellites astronomy \n", + "11 11 funny whatever said says \n", + "12 12 sale prices purchase buy \n", + "13 13 modem mhz analog audio \n", + "14 14 patients treatment diseases clinical \n", + "15 15 vga monitors monitor displays \n", + "16 16 encryption nsa crypt crypto \n", + "17 17 mail contact email mailing \n", + "18 18 xterm xt xdm openwindows \n", + "19 19 uh um so er \n", + "\n", + " topic_4 topic_5 topic_6 topic_7 topic_8 ... \\\n", + "0 braves sabres leafs rangers mets ... \n", + "1 motorcycle bmw dealers cars car ... \n", + "2 shareware toolkit formats programs binaries ... \n", + "3 christianity gospel christians disciples verses ... \n", + "4 hardware floppy os drivers drives ... \n", + "5 religious secular morality atheists religions ... \n", + "6 evidence incident victims suspect concerns ... \n", + "7 israeli palestine israel genocide armenians ... \n", + "8 intel mhz cmos vram specs ... \n", + "9 handgun enforcement handguns liberties militia ... \n", + "10 astronomical orbiter shuttle missions astro ... \n", + "11 relevant he readme speaking remark ... \n", + "12 buying shipping price sold offers ... \n", + "13 electronics radio signal hardware dsl ... \n", + "14 medicine disease medical doctors med ... \n", + "15 graphics pixel drivers screen hardware ... \n", + "16 cryptography cryptographic security encrypted privacy ... \n", + "17 address newsletter send message messages ... \n", + "18 libxmu xmu window screen widgets ... \n", + "19 ah em yeah oh hm ... \n", + "\n", + " weight_0 weight_1 weight_2 weight_3 weight_4 weight_5 weight_6 \\\n", + "0 0.543926 0.494511 0.489982 0.487934 0.486236 0.483516 0.478826 \n", + "1 0.577940 0.562160 0.559524 0.528763 0.510132 0.494557 0.476860 \n", + "2 0.536654 0.485662 0.478990 0.476612 0.462889 0.448317 0.440578 \n", + "3 0.612005 0.571881 0.561385 0.556096 0.540397 0.511952 0.505659 \n", + "4 0.440244 0.401422 0.395387 0.387878 0.386770 0.369409 0.365550 \n", + "5 0.594171 0.517381 0.496043 0.477527 0.466389 0.465384 0.457678 \n", + "6 0.358328 0.348530 0.340339 0.338833 0.338219 0.328524 0.320860 \n", + "7 0.557075 0.547787 0.536402 0.529442 0.527833 0.504161 0.480319 \n", + "8 0.585325 0.571596 0.540033 0.511710 0.468207 0.467610 0.464198 \n", + "9 0.491917 0.463970 0.456809 0.447501 0.444435 0.443916 0.417034 \n", + "10 0.628986 0.541620 0.469068 0.429223 0.415828 0.408391 0.405889 \n", + "11 0.466377 0.452810 0.420255 0.420184 0.418860 0.415667 0.413350 \n", + "12 0.586148 0.559362 0.553895 0.511184 0.508291 0.496263 0.492324 \n", + "13 0.497769 0.442074 0.441286 0.437606 0.435566 0.425108 0.415435 \n", + "14 0.503401 0.493072 0.443536 0.438730 0.434939 0.431066 0.406958 \n", + "15 0.589098 0.576945 0.555744 0.497464 0.449192 0.444110 0.426689 \n", + "16 0.571233 0.516576 0.501272 0.490977 0.490216 0.489634 0.487498 \n", + "17 0.584925 0.569421 0.565784 0.557063 0.539173 0.507478 0.488385 \n", + "18 0.464039 0.435088 0.428497 0.424557 0.393689 0.392356 0.388820 \n", + "19 0.695286 0.692796 0.673198 0.633255 0.631434 0.628381 0.625711 \n", + "\n", + " weight_7 weight_8 weight_9 \n", + "0 0.470605 0.466505 0.465697 \n", + "1 0.474569 0.471685 0.439867 \n", + "2 0.440541 0.433754 0.431742 \n", + "3 0.492909 0.477469 0.473928 \n", + "4 0.361031 0.354560 0.349896 \n", + "5 0.453707 0.448874 0.438310 \n", + "6 0.315915 0.311960 0.308561 \n", + "7 0.468482 0.461106 0.455497 \n", + "8 0.450995 0.440455 0.417700 \n", + "9 0.400607 0.396878 0.385042 \n", + "10 0.402896 0.402350 0.390656 \n", + "11 0.413133 0.408462 0.401234 \n", + "12 0.480721 0.475467 0.475338 \n", + "13 0.407329 0.398933 0.396407 \n", + "14 0.381324 0.354174 0.342139 \n", + "15 0.404046 0.401985 0.393818 \n", + "16 0.463905 0.452661 0.435769 \n", + "17 0.488042 0.481984 0.476887 \n", + "18 0.372411 0.343407 0.339043 \n", + "19 0.622654 0.600081 0.599870 \n", + "\n", + "[20 rows x 21 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topics = model.get_topics(reduced=True)\n", + "rows = []\n", + "for topic, weight, topic_id in zip(topics[0], topics[1], topics[2]):\n", + " topic_d = {f'topic_{i}':topic[i] for i in range(10)}\n", + " weight_d = {f'weight_{i}':weight[i] for i in range(10)}\n", + " rows.append({'topic_id':topic_id, **topic_d, **weight_d})\n", + "# rows.append({'topic_id':topic_id, **topic_d})\n", + "topics_df = pd.DataFrame(rows)\n", + "topics_df\n", + "topics_df.to_csv(proj_dir/'data'/'topics.csv', index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "import plotly.graph_objects as go" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "cells": { + "align": "left", + "fill": { + "color": "darkblue" + }, + "line": { + "color": "white" + }, + "values": [ + [ + 0, + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19 + ], + [ + "nhl", + "vehicles", + "software", + "scripture", + "disk", + "atheism", + "investigation", + "palestinians", + "hardware", + "firearm", + "nasa", + "funny", + "sale", + "modem", + "patients", + "vga", + "encryption", + "mail", + "xterm", + "uh" + ], + [ + "flyers", + "vehicle", + "bitmap", + "biblical", + "motherboard", + "beliefs", + "news", + "israelis", + "motherboard", + "firearms", + "spacecraft", + "whatever", + "prices", + "mhz", + "treatment", + "monitors", + "nsa", + "contact", + "xt", + "um" + ], + [ + "pitching", + "motorcycles", + "microsoft", + "scriptures", + "disks", + "belief", + "alleged", + "palestinian", + "processor", + "guns", + "satellites", + "said", + "purchase", + "analog", + "diseases", + "monitor", + "crypt", + "email", + "xdm", + "so" + ], + [ + "cubs", + "honda", + "unix", + "testament", + "workstation", + "atheist", + "nra", + "gaza", + "ram", + "nra", + "astronomy", + "says", + "buy", + "audio", + "clinical", + "displays", + "crypto", + "mailing", + "openwindows", + "er" + ], + [ + "braves", + "motorcycle", + "shareware", + "christianity", + "hardware", + "religious", + "evidence", + "israeli", + "intel", + "handgun", + "astronomical", + "relevant", + "buying", + "electronics", + "medicine", + "graphics", + "cryptography", + "address", + "libxmu", + "ah" + ], + [ + "sabres", + "bmw", + "toolkit", + "gospel", + "floppy", + "secular", + "incident", + "palestine", + "mhz", + "enforcement", + "orbiter", + "he", + "shipping", + "radio", + "disease", + "pixel", + "cryptographic", + "newsletter", + "xmu", + "em" + ], + [ + "leafs", + "dealers", + "formats", + "christians", + "os", + "morality", + "victims", + "israel", + "cmos", + "handguns", + "shuttle", + "readme", + "price", + "signal", + "medical", + "drivers", + "security", + "send", + "window", + "yeah" + ], + [ + "rangers", + "cars", + "programs", + "disciples", + "drivers", + "atheists", + "suspect", + "genocide", + "vram", + "liberties", + "missions", + "speaking", + "sold", + "hardware", + "doctors", + "screen", + "encrypted", + "message", + "screen", + "oh" + ], + [ + "mets", + "car", + "binaries", + "verses", + "drives", + "religions", + "concerns", + "armenians", + "specs", + "militia", + "astro", + "remark", + "offers", + "dsl", + "med", + "hardware", + "privacy", + "messages", + "widgets", + "hm" + ], + [ + "hitter", + "driving", + "applications", + "bible", + "cmos", + "christianity", + "conclusions", + "holocaust", + "cpu", + "gun", + "telescope", + "reported", + "catalog", + "receiver", + "dr", + "resolution", + "decrypt", + "addresses", + "widget", + "he" + ], + [ + 0.5439257621765137, + 0.5779401063919067, + 0.536653995513916, + 0.6120049953460693, + 0.44024354219436646, + 0.5941709280014038, + 0.35832828283309937, + 0.5570750832557678, + 0.5853247046470642, + 0.49191707372665405, + 0.6289860010147095, + 0.46637672185897827, + 0.5861483812332153, + 0.4977691173553467, + 0.5034010410308838, + 0.5890976786613464, + 0.5712329149246216, + 0.5849248170852661, + 0.4640390872955322, + 0.695286214351654 + ], + [ + 0.49451112747192383, + 0.5621604919433594, + 0.4856624901294708, + 0.5718808770179749, + 0.4014219045639038, + 0.5173805952072144, + 0.3485303521156311, + 0.5477869510650635, + 0.5715956687927246, + 0.4639695882797241, + 0.5416203141212463, + 0.45281004905700684, + 0.5593624711036682, + 0.44207435846328735, + 0.4930722117424011, + 0.5769451260566711, + 0.5165762305259705, + 0.5694213509559631, + 0.4350876808166504, + 0.6927964687347412 + ], + [ + 0.48998209834098816, + 0.5595237612724304, + 0.4789898991584778, + 0.5613853931427002, + 0.3953874111175537, + 0.4960426390171051, + 0.3403390049934387, + 0.5364019870758057, + 0.5400331020355225, + 0.45680931210517883, + 0.46906834840774536, + 0.420255184173584, + 0.5538954734802246, + 0.4412863254547119, + 0.4435361623764038, + 0.5557439923286438, + 0.5012720823287964, + 0.5657840371131897, + 0.4284970164299011, + 0.6731975078582764 + ], + [ + 0.4879336953163147, + 0.528762698173523, + 0.47661152482032776, + 0.5560956001281738, + 0.38787776231765747, + 0.4775274991989136, + 0.338833212852478, + 0.5294420719146729, + 0.5117099285125732, + 0.44750142097473145, + 0.42922282218933105, + 0.42018383741378784, + 0.5111842155456543, + 0.4376062750816345, + 0.43872952461242676, + 0.4974637031555176, + 0.490977019071579, + 0.5570628643035889, + 0.42455655336380005, + 0.6332547664642334 + ], + [ + 0.486235648393631, + 0.510132372379303, + 0.46288925409317017, + 0.5403966903686523, + 0.38677000999450684, + 0.46638888120651245, + 0.3382185697555542, + 0.5278329849243164, + 0.46820735931396484, + 0.4444354772567749, + 0.41582828760147095, + 0.4188598394393921, + 0.5082911252975464, + 0.4355660676956177, + 0.4349389672279358, + 0.4491923749446869, + 0.4902161657810211, + 0.5391734838485718, + 0.39368945360183716, + 0.6314343810081482 + ], + [ + 0.48351621627807617, + 0.49455687403678894, + 0.44831734895706177, + 0.5119518637657166, + 0.3694087564945221, + 0.46538394689559937, + 0.32852423191070557, + 0.5041609406471252, + 0.4676099419593811, + 0.4439162611961365, + 0.4083908796310425, + 0.41566696763038635, + 0.49626296758651733, + 0.4251083433628082, + 0.43106603622436523, + 0.4441102147102356, + 0.48963385820388794, + 0.5074784755706787, + 0.39235588908195496, + 0.6283812522888184 + ], + [ + 0.4788256883621216, + 0.47686028480529785, + 0.4405782222747803, + 0.5056585073471069, + 0.3655499219894409, + 0.45767760276794434, + 0.32085978984832764, + 0.4803190231323242, + 0.46419793367385864, + 0.4170336127281189, + 0.40588897466659546, + 0.41334956884384155, + 0.49232447147369385, + 0.4154348373413086, + 0.4069584608078003, + 0.4266887903213501, + 0.4874981641769409, + 0.4883854389190674, + 0.3888200521469116, + 0.6257105469703674 + ], + [ + 0.4706050157546997, + 0.4745689630508423, + 0.44054052233695984, + 0.4929085373878479, + 0.3610309362411499, + 0.45370686054229736, + 0.31591522693634033, + 0.4684823155403137, + 0.4509950876235962, + 0.40060701966285706, + 0.4028959274291992, + 0.41313302516937256, + 0.4807206392288208, + 0.40732866525650024, + 0.38132449984550476, + 0.40404611825942993, + 0.4639045000076294, + 0.4880422055721283, + 0.37241095304489136, + 0.6226544380187988 + ], + [ + 0.4665050506591797, + 0.47168487310409546, + 0.43375444412231445, + 0.47746938467025757, + 0.3545604944229126, + 0.44887423515319824, + 0.3119598627090454, + 0.46110638976097107, + 0.4404553472995758, + 0.396877646446228, + 0.40234971046447754, + 0.4084620773792267, + 0.47546735405921936, + 0.3989331126213074, + 0.35417377948760986, + 0.4019848704338074, + 0.4526611566543579, + 0.4819841980934143, + 0.3434067368507385, + 0.6000807881355286 + ], + [ + 0.4656972289085388, + 0.43986696004867554, + 0.4317421317100525, + 0.4739278554916382, + 0.34989631175994873, + 0.438310444355011, + 0.30856069922447205, + 0.45549696683883667, + 0.4176998734474182, + 0.3850419521331787, + 0.3906557857990265, + 0.4012337028980255, + 0.4753377437591553, + 0.39640724658966064, + 0.3421393930912018, + 0.3938184678554535, + 0.43576884269714355, + 0.4768871068954468, + 0.3390425443649292, + 0.5998696088790894 + ] + ] + }, + "header": { + "align": "left", + "fill": { + "color": "darkgreen" + }, + "values": [ + "topic_id", + "topic_0", + "topic_1", + "topic_2", + "topic_3", + "topic_4", + "topic_5", + "topic_6", + "topic_7", + "topic_8", + "topic_9", + "weight_0", + "weight_1", + "weight_2", + "weight_3", + "weight_4", + "weight_5", + "weight_6", + "weight_7", + "weight_8", + "weight_9" + ] + }, + "type": "table" + } + ], + "layout": { + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig2 = go.Figure(data=[go.Table(\n", + " header=dict(values=list(topics_df.columns),\n", + " fill_color='darkgreen',\n", + " align='left'),\n", + " cells=dict(values=topics_df.T,\n", + " fill_color='darkblue',\n", + " align='left',\n", + " line_color='white')\n", + " \n", + ")])\n", + "fig2.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Topic Search by Keyword" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
topic_wordstopic_scoresword_scorestopic_nums
0[patients, treatment, diseases, disease, medic...0.421746[0.49349612, 0.4869696, 0.4417882, 0.4306956, ...2
1[drugs, drug, tobacco, criminals, medicine, cr...0.325306[0.5500872, 0.52503467, 0.34861028, 0.32636768...51
2[uh, um, so, er, ah, yeah, em, oh, hm, he, but...0.281698[0.69431293, 0.69062114, 0.6715052, 0.6303334,...7
3[funny, joke, remark, whatever, reported, eh, ...0.235219[0.47672042, 0.4397785, 0.42954606, 0.427966, ...4
4[scientific, skepticism, scientists, science, ...0.227062[0.5142172, 0.45639932, 0.4371231, 0.4214431, ...37
\n", + "
" + ], + "text/plain": [ + " topic_words topic_scores \\\n", + "0 [patients, treatment, diseases, disease, medic... 0.421746 \n", + "1 [drugs, drug, tobacco, criminals, medicine, cr... 0.325306 \n", + "2 [uh, um, so, er, ah, yeah, em, oh, hm, he, but... 0.281698 \n", + "3 [funny, joke, remark, whatever, reported, eh, ... 0.235219 \n", + "4 [scientific, skepticism, scientists, science, ... 0.227062 \n", + "\n", + " word_scores topic_nums \n", + "0 [0.49349612, 0.4869696, 0.4417882, 0.4306956, ... 2 \n", + "1 [0.5500872, 0.52503467, 0.34861028, 0.32636768... 51 \n", + "2 [0.69431293, 0.69062114, 0.6715052, 0.6303334,... 7 \n", + "3 [0.47672042, 0.4397785, 0.42954606, 0.427966, ... 4 \n", + "4 [0.5142172, 0.45639932, 0.4371231, 0.4214431, ... 37 " + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "topic_words, word_scores, topic_scores, topic_nums = model.search_topics(keywords=[\"medicine\"], num_topics=5)\n", + "pd.DataFrame({'topic_words':topic_words, 'topic_scores':topic_scores, 'word_scores':word_scores, 'topic_nums':topic_nums}).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Document: 6935, Score: 0.5299610183319308\n", + "-----------\n", + "Note: The following was released by the White House today in\n", + " conjunction with the announcement of the Clipper Chip\n", + " encryption technology.\n", + "\n", + " FACT SHEET\n", + "\n", + " PUBLIC ENCRYPTION MANAGEMENT\n", + "\n", + "The President has approved a directive on \"Public Encryption\n", + "Management.\" The directive provides for the following:\n", + "\n", + "Advanced telecommunications and commercially available encryption\n", + "are part of a wave of new computer and communications technology. \n", + "Encryption products scramble information to protect the privacy of\n", + "communications and data by preventing unauthorized access. \n", + "Advanced telecommunications systems use digital technology to\n", + "rapidly and precisely handle a high volume of communications. \n", + "These advanced telecommunications systems are integral to the\n", + "infrastructure needed to ensure economic competitiveness in the\n", + "information age.\n", + "\n", + "Despite its benefits, new communications technology can also\n", + "frustrate lawful government electronic surveillance. Sophisticated\n", + "encryption can have this effect in the United States. When\n", + "exported abroad, it can be used to thwart foreign intelligence\n", + "activities critical to our national interests. In the past, it has\n", + "been possible to preserve a government capability to conduct\n", + "electronic surveillance in furtherance of legitimate law\n", + "enforcement and national security interests, while at the same time\n", + "protecting the privacy and civil liberties of all citizens. As\n", + "encryption technology improves, doing so will require new,\n", + "innovative approaches.\n", + "\n", + "In the area of communications encryption, the U. S. Government has\n", + "developed a microcircuit that not only provides privacy through\n", + "encryption that is substantially more robust than the current\n", + "government standard, but also permits escrowing of the keys needed\n", + "to unlock the encryption. The system for the escrowing of keys\n", + "will allow the government to gain access to encrypted information\n", + "only with appropriate legal authorization.\n", + "\n", + "To assist law enforcement and other government agencies to collect\n", + "and decrypt, under legal authority, electronically transmitted\n", + "information, I hereby direct the following action to be taken:\n", + "\n", + "INSTALLATION OF GOVERNMENT-DEVELOPED MICROCIRCUITS\n", + "\n", + "The Attorney General of the United States, or her representative,\n", + "shall request manufacturers of communications hardware which\n", + "incorporates encryption to install the U.S. government-developed\n", + "key-escrow microcircuits in their products. The fact of law\n", + "enforcement access to the escrowed keys will not be concealed from\n", + "the American public. All appropriate steps shall be taken to\n", + "ensure that any existing or future versions of the key-escrow\n", + "microcircuit are made widely available to U.S. communications\n", + "hardware manufacturers, consistent with the need to ensure the\n", + "security of the key-escrow system. In making this decision, I do\n", + "not intend to prevent the private sector from developing, or the\n", + "government from approving, other microcircuits or algorithms that\n", + "are equally effective in assuring both privacy and a secure key-\n", + "escrow system.\n", + "\n", + "KEY-ESCROW\n", + "\n", + "The Attorney General shall make all arrangements with appropriate\n", + "entities to hold the keys for the key-escrow microcircuits\n", + "installed in communications equipment. In each case, the key\n", + "holder must agree to strict security procedures to prevent\n", + "unauthorized release of the keys. The keys shall be released only\n", + "to government agencies that have established their authority to\n", + "acquire the content of those communications that have been\n", + "encrypted by devices containing the microcircuits. The Attorney\n", + "General shall review for legal sufficiency the procedures by which\n", + "an agency establishes its authority to acquire the content of such\n", + "communications.\n", + "\n", + "PROCUREMENT AND USE OF ENCRYPTION DEVICES\n", + "\n", + "The Secretary of Commerce, in consultation with other appropriate\n", + "U.S. agencies, shall initiate a process to write standards to\n", + "facilitate the procurement and use of encryption devices fitted\n", + "with key-escrow microcircuits in federal communications systems\n", + "that process sensitive but unclassified information. I expect this\n", + "process to proceed on a schedule that will permit promulgation of\n", + "a final standard within six months of this directive. \n", + "-----------\n", + "\n", + "Document: 7007, Score: 0.5091895577173255\n", + "-----------\n", + "............................................................................\n", + " CRYPTO '93 - Conference Announcement & Final Call for Papers\n", + "............................................................................\n", + "\n", + "The Thirteenth Annual CRYPTO Conference, sponsored by the International \n", + "Association for Cryptologic Research (IACR), in cooperation with \n", + "the IEEE Computer Society Technical Committee on Security and Privacy, \n", + "the Computer Science Department of the University of California, Santa \n", + "Barbara, and Bell-Northern Research (a subsidiary of Northern Telecom), \n", + "will be held on the campus of the University of California, Santa Barbara, \n", + "on August 22-26, 1993. Original research papers and technical expository talks \n", + "are solicited on all practical and theoretical aspects of cryptology. It is \n", + "anticipated that some talks may also be presented by special invitation of the \n", + "Program Committee.\n", + "------------------------- \n", + "INSTRUCTIONS FOR AUTHORS: Authors are requested to send 12 copies of a \n", + "detailed abstract (not a full paper) by April 26, 1993, to the Program Chair \n", + "at the address given below. A limit of 10 pages of 12pt type (not counting \n", + "the bibliography or the title page) is placed on all submissions. Submissions \n", + "must arrive on time or be postmarked no later than April 21, 1993 and sent by \n", + "airmail in order to receive consideration by the Program Committee. It is \n", + "required that submissions start with a succinct statement of the problem \n", + "addressed, the solution proposed, and its significance to cryptology, \n", + "appropriate for a non-specialist reader. Technical development directed to \n", + "the specialist should follow as needed.\n", + "------------------------- \n", + "Abstracts that have been submitted to other conferences that have proceedings \n", + "are NOT eligible for submission.\n", + "\n", + "Submissions MUST BE ANONYMOUS. This means that names and affiliations of \n", + "authors should only appear on the title page of the submission; it should \n", + "be possible to remove this page and send the papers to Program Committee \n", + "members. A Latex style file that produces output in this format is available by email from the Program Chair.\n", + "\n", + "Authors will be informed of acceptance or rejection in a letter mailed on \n", + "or before June 21, 1993. A compilation of all accepted abstracts will be \n", + "available at the conference in the form of pre-proceedings. Authors of \n", + "accepted abstracts will be allowed to submit revised versions for the \n", + "pre-proceedings. A revised abstract should contain only minor changes and \n", + "corrections to the originally submitted abstract. All revised abstracts must \n", + "be received by the Program Chair by July 16, 1993. THE 10 PAGE LIMIT WILL BE \n", + "STRICTLY ENFORCED for the pre-proceedings.\n", + "\n", + "Complete conference proceedings are expected to be published in Springer-\n", + "Verlag's Lecture Notes in Computer Science series at a later date, pending \n", + "negotiation.\n", + "------------------------- \n", + "The Program Committee consists of \n", + "\n", + " D. Stinson (Chair, Nebraska) \n", + " M. Bellare (IBM T. J. Watson) E. Biham (Technion, Israel)\n", + " E. Brickell (Sandia National Labs) J. Feigenbaum (AT&T Bell Labs)\n", + " R. Impagliazzo (UCSD) A. Odlyzko (AT&T Bell Labs)\n", + " T. Okamoto (NTT, Japan) B. Pfitzmann (Hildesheim, Germany)\n", + " R. Rueppel (R3, Switzerland) S. Vanstone (Waterloo, Canada)\n", + "------------------------- \n", + "Send submissions to the Program Chair: \n", + "\n", + "Douglas R. Stinson, Crypto '93 \n", + "Computer Science and Engineering Department \n", + "115 Ferguson Hall, University of Nebraska \n", + "Lincoln, NE 68588-0115 USA \n", + "Telephone: (402)-472-7791 \n", + "Fax: (402)-472-7767 \n", + "Internet: stinson@bibd.unl.edu \n", + "\n", + "For other information, contact the General Chair: \n", + "\n", + "Paul C. Van Oorschot, Crypto '93 \n", + "Bell-Northern Research (MAIL STOP 000) \n", + "3500 Carling Ave. \n", + "Nepean, Ontario K2H 8E9 Canada \n", + "Telephone: (613)-763-4199 \n", + "Fax: (613)-763-2626 \n", + "Internet: crypto93@bnr.ca\n", + "\n", + "............................................................................\n", + " CRYPTO '93 - General Information (August 22 - 26, 1993)\n", + "............................................................................\n", + "\n", + "THE PROGRAM: Crypto'93 is the thirteenth in a series of workshops on \n", + "cryptology held at Santa Barbara, and is sponsored by the International \n", + "Association for Cryptologic Research, in cooperation with the IEEE \n", + "Computer Society Technical Committee on Security and Privacy, the Computer \n", + "Science Department of the University of California, Santa Barbara, and \n", + "Bell-Northern Research (a subsidiary of Northern Telecom). The program \n", + "for the workshop will cover all aspects of cryptology. Extended abstracts of \n", + "the papers presented at the conference will be distributed to all attendees \n", + "at the conference, and formal proceedings will be published at a later date.\n", + "\n", + "In addition to the regular program of papers selected or invited by the \n", + "program committee, there will be a rump session on Tuesday evening for \n", + "informal presentations. Facilities will also be provided for attendees to \n", + "demonstrate hardware, software and other items of cryptographic interest. \n", + "If you wish to demonstrate such items, you are urged to contact the General \n", + "Chair so that your needs will be attended to. The social program will include \n", + "hosted cocktail parties on Sunday and Monday. In addition, there will be a \n", + "beach barbecue on Wednesday evening. The price of the barbecue is included \n", + "in the room and board charge, and extra tickets may be purchased.\n", + "\n", + "ABOUT THE CONFERENCE FACILITIES: The workshop will be held on the campus of \n", + "the University of California, Santa Barbara. The campus is located adjacent \n", + "to the Santa Barbara airport and the Pacific Ocean. Accommodations are \n", + "available in the university dormitories at relatively low cost for conference \n", + "participants. Children under the age of 13 are not allowed to stay in the \n", + "dormitories, so those bringing small children will need to make separate \n", + "arrangements in one of several nearby hotels. More information on hotels is \n", + "enclosed. Parking on campus is available at no cost to the participants. \n", + "However, participants must indicate on the registration form if they desire \n", + "a parking permit.\n", + "\n", + "TRAVEL INFORMATION: The campus is located approximately 2 miles from the \n", + "Santa Barbara airport, which is served by several airlines, including \n", + "American, America West, Delta, United, and US Air. Free shuttle bus service \n", + "will be provided between the Santa Barbara airport and the campus on Sunday \n", + "and Thursday afternoons. All major rental car agencies are also represented \n", + "in Santa Barbara, and AMTRAK has rail connections to San Francisco from the \n", + "north and Los Angeles from the south. Santa Barbara is approximately 100 miles \n", + "north of Los Angeles airport, and 350 miles south of San Francisco.\n", + "\n", + "REGISTRATION: Participation is invited by interested parties, but attendance \n", + "at the workshop is limited, and pre-registration is strongly advised. Late \n", + "registrations, subject to a late registration fee, may be accepted if space \n", + "is available, but there are NO GUARANTEES. To register, fill out the attached \n", + "registration form and return to the address on the form along with payment in \n", + "full before July 9, 1993. Campus accommodations will be available on a first \n", + "come, first serve basis for attendees who register by July 9, 1993. The \n", + "conference fees include participation in the program and all social functions, \n", + "as well as membership to the IACR and a subscription to the Journal of \n", + "Cryptology. The room and board charges include dormitory lodging and meals \n", + "are available to those unable to obtain funding. Applications for stipends \n", + "should be sent to the General Chair before June 4, 1993.\n", + "\n", + "............................................................................\n", + " CRYPTO '93 - CRYPTO '93 Registration Form \n", + "............................................................................\n", + " REGISTRATION DEADLINE: July 9, 1993\n", + "\n", + "Last Name: _____________________________________________\n", + "\n", + "First Name: _____________________________________________ Sex: (M)__ (F)__\n", + "\n", + "Affiliation: _______________________________________________________________ \n", + "\n", + "Mailing Address: __________________________________________________________\n", + "\n", + " __________________________________________________________\n", + "\n", + " __________________________________________________________\n", + "\n", + " ___________________________________________________________\n", + "\n", + "Phone: __________________________________ FAX: ___________________________ \n", + "\n", + "Electronic Mail: __________________________________________________________ \n", + "\n", + "Payment of the conference fee entitles you to membership in the International \n", + "Association for Cryptologic Research for one year at no extra charge, \n", + "including a subscription to the Journal of Cryptology, published by Springer-\n", + "Verlag, at no extra charge. Do you wish to be an IACR member? YES__ NO__\n", + "\n", + "The conference fee also includes the conference proceedings when they become \n", + "available, containing final versions of conference papers. The book of \n", + "extended abstracts distributed at the conference will contain only shortened \n", + "preliminary versions of these papers (maximum 10 pages).\n", + "\n", + "Conference fee: Regular ($280) US$ _______\n", + " Attended Eurocrypt'93, Norway ($230) _______\n", + " Full time student ($190) _______ \n", + " deduct $50 if you do not wish proceedings _______\n", + " Total conference fee: US$_______\n", + "\n", + "Room and Board (4 nights): Smoking ___ Non-smoking ___\n", + " Single room ($275 per person) _______\n", + " Double room ($225 per person) _______\n", + " Roommate's name: ____________________________________\n", + "\n", + "Extra barbecue tickets ($20 each; one is included in room and board) _______ \n", + "$40 late fee for registration after July 9; \n", + " REGISTRATION NOT GUARANTEED AFTER JULY 9 _______\n", + "\n", + "Total funds enclosed (U.S. dollars): US$ _______\n", + "\n", + "Payment must be by check PAYABLE IN U.S. FUNDS, by money order IN U.S. FUNDS, \n", + "or by U.S. BANK DRAFT, payable to: CRYPTO'93. Payment should be mailed to the \n", + "General Chair:\n", + " Paul C. Van Oorschot, CRYPTO'93 \n", + " Bell-Northern Research (MAIL STOP 000)\n", + " 3500 Carling Ave.\n", + " Nepean, Ontario K2H 8E9 Canada \n", + "\n", + "............................................................................\n", + " CRYPTO '93 - Hotel Information\n", + "............................................................................\n", + "\n", + "For those who choose not to stay in the dormitories, the following is a \n", + "partial list of hotels in the area. Those who choose to stay off campus are \n", + "responsible for making their own reservations, and early reservations are \n", + "advised since August is a popular season in Santa Barbara. Note that Goleta \n", + "is closer to UCSB than Santa Barbara, but that a car will probably be \n", + "required to travel between any hotel and the campus. All prices are subject \n", + "to change; prices should be confirmed by calling the individual hotels \n", + "directly. However, mention CRYPTO'93 when you are making your reservation and \n", + "in several of the hotels listed you will be eligible for the university rate \n", + "which can be significantly less than the normal rates. We are not able to \n", + "block rooms in these hotels, so please make reservations as early as \n", + "possible. The quality of the hotels range from rather expensive beach-front \n", + "resorts to basic inexpensive accommodations. For further information, try \n", + "contacting the Santa Barbara Convention and Visitors Center, (805)-966-9222. \n", + "\n", + "South Coast Inn: 5620 Calle Real, Goleta, CA 93117. Regular rates: Single $89, \n", + "Double $94; call for University rates. Contact Murrill Forrester at \n", + "(805)-967-3200 or toll-free at (800)-350-3614.\n", + "\n", + "Cathedral Oaks Lodge: 4770 Calle Real, Santa Barbara, 93110. Single rates not \n", + "available, Double rates start at $84 including breakfast; no University rates. \n", + "Call Tom Patton at (805)-964-3511 or toll-free at (800)-654-1965.\n", + "\n", + "Motel 6: 5897 Calle Real, Goleta, CA 93117. Single $33.95, Double $39.95, \n", + "no University rate available. Call (505)-891-6161.\n", + "\n", + "The Sandman Inn: 3714 State St., Santa Barbara, CA 93105. Regular rates: \n", + "Single or Double $84, $94 for king-size, University rate $65. Call Jean \n", + "Ingerle at (805)-687-2468 or toll-free at (800)-350-8174.\n", + "\n", + "Miramar Hotel (Beachfront): 3 miles south of Santa Barbara on U.S. 101 at \n", + "San Ysidro turnoff. Regular rates: $70-$135. No University rates. Call \n", + "(805)-969-2203. \n", + "\n", + "Pepper Tree Inn: 3850 State St., Santa Barbara, CA 93105. Regular rates: \n", + "$106-$112 for two people, University rates $96-$102 for two people. Call \n", + "Christopher Oliphant at (805)-687-5511 or toll-free at (800)-338-0030.\n", + "\n", + "Encina Lodge: 220 Bath Street, Santa Barbara, CA 93105. Regular rates \n", + "$106-$108 for two people, no University rates. Call Carol Wolford at \n", + "(805)-682-7550 or toll-free at (800)-526-2282.\n", + "\n", + "Quality Suites: 5500 Hollister Ave, Santa Barbara, CA 93111 (close to campus). \n", + "Regular rates: Single $125, Double $145, University rates $99 double \n", + "(must mention you are attending a UCSB program). Call Michael Ensign at \n", + "(805)-683-6722.\n", + "\n", + "Upham Hotel (bed-and-breakfast): 1404 De La Vina Road, Santa Barbara, \n", + "CA 93101. University rate $85 (mention you are from Crypto). Call Sheila \n", + "Donegan at (805)-962-0058.\n", + "............................................................................\n", + "\n", + "\n", + "\n", + "\n", + "-----------\n", + "\n", + "Document: 4682, Score: 0.49179112075535963\n", + "-----------\n", + "Archive-name: net-privacy/part2\n", + "Last-modified: 1993/3/3\n", + "Version: 2.1\n", + "\n", + "\n", + "IDENTITY, PRIVACY, and ANONYMITY on the INTERNET\n", + "================================================\n", + "\n", + "(c) 1993 L. Detweiler. Not for commercial use except by permission\n", + "from author, otherwise may be freely copied. Not to be altered. \n", + "Please credit if quoted.\n", + "\n", + "SUMMARY\n", + "=======\n", + "\n", + "Email and account privacy, anonymity, file encryption, academic \n", + "computer policies, relevant legislation and references, EFF, and \n", + "other privacy and rights issues associated with use of the Internet\n", + "and global networks in general.\n", + "\n", + "(Search for <#.#> for exact section. Search for '_' (underline) for\n", + "next section.)\n", + "\n", + "PART 2\n", + "====== (this file)\n", + "\n", + "Resources\n", + "---------\n", + "\n", + "<4.1> What UNIX programs are related to privacy?\n", + "<4.2> How can I learn about or use cryptography?\n", + "<4.3> What is the cypherpunks mailing list?\n", + "<4.4> What are some privacy-related newsgroups? FAQs?\n", + "<4.5> What is internet Privacy Enhanced Mail (PEM)?\n", + "<4.6> What are other Request For Comments (RFCs) related to privacy?\n", + "<4.7> How can I run an anonymous remailer?\n", + "<4.8> What are references on privacy in email?\n", + "<4.9> What are some email, Usenet, and internet use policies?\n", + "<4.10> What is the MIT ``CROSSLINK'' anonymous message TV program?\n", + "\n", + "Miscellaneous\n", + "-------------\n", + "\n", + "<5.1> What is ``digital cash''?\n", + "<5.2> What is a ``hacker'' or ``cracker''?\n", + "<5.3> What is a ``cypherpunk''?\n", + "<5.4> What is `steganography' and anonymous pools?\n", + "<5.5> What is `security through obscurity'?\n", + "<5.6> What are `identity daemons'?\n", + "<5.7> What standards are needed to guard electronic privacy?\n", + "\n", + "Issues\n", + "------\n", + "\n", + "<6.1> What is the Electronic Frontier Foundation (EFF)?\n", + "<6.2> Who are Computer Professionals for Social Responsibility (CPSR)?\n", + "<6.3> What was `Operation Sun Devil' and the Steve Jackson Game case?\n", + "<6.4> What is Integrated Services Digital Network (ISDN)?\n", + "<6.5> What is the National Research and Education Network (NREN)?\n", + "<6.6> What is the FBI's proposed Digital Telephony Act?\n", + "<6.7> What other U.S. legislation is related to privacy on networks?\n", + "<6.8> What are references on rights in cyberspace?\n", + "<6.9> What is the Computers and Academic Freedom (CAF) archive?\n", + "\n", + "Footnotes\n", + "---------\n", + "\n", + "<7.1> What is the background behind the Internet?\n", + "<7.2> How is Internet `anarchy' like the English language?\n", + "<7.3> Most Wanted list\n", + "<7.4> Change history\n", + "\n", + "\n", + "* * *\n", + "\n", + "\n", + "RESOURCES\n", + "=========\n", + "\n", + "\n", + "_____\n", + "<4.1> What UNIX programs are related to privacy?\n", + "\n", + " For more information, type `man [cmd]' or `apropos [keyword]' at the\n", + " UNIX shell prompt.\n", + "\n", + " passwd - change password\n", + " finger - obtain information about a remote user\n", + " chfn - change information about yourself obtainable by remote\n", + " users (sometimes `passwd -f')\n", + " chmod - change the rights associated with a file or directory\n", + " umask - (shell) change the default (on creation) file access\n", + " rights\n", + " ls - list the rights associated with files and directories\n", + " xhost - allow or disable access control of particular users to an\n", + " Xwindow server\n", + " last - list the latest user logins on the system and their\n", + " originations\n", + " who - list other users, login/idle times, originations\n", + " w - list other users and what they are running\n", + " xhost - access control list for X Window client use\n", + " xauth - control X Window server authentication\n", + " \n", + " .signature - file in the home directory appended to USENET posts\n", + " .forward - file used to forward email to other accounts\n", + " .Xauthority - file used for X Window server authentication keys\n", + " $SIGNATURE - variable used for name in email and USENET postings\n", + "\n", + " The 'tcpdump' packet-tracing program is loosely based on SMI's\n", + " \"etherfind\" although none of the etherfind code remains. It was\n", + " originally written by Van Jacobson, Lawrence Berkeley Laboratory,\n", + " as part of an ongoing research project to investigate and improve\n", + " tcp and internet gateway performance. A current version is\n", + " available via anonymous ftp from host ftp.ee.lbl.gov (currently at\n", + " address 128.3.254.68) file tcpdump.tar.Z (a compressed Unix tar\n", + " file). This program is subject to the 'standard' Berkeley network\n", + " software copyright.\n", + "\n", + "_____\n", + "<4.2> How can I learn about or use cryptography?\n", + "\n", + " A general introduction to mostly theoretical cryptographic issues,\n", + " especially those frequently discussed in sci.crypt, is available\n", + " in FAQ form:\n", + "\n", + " > Compiled by:\n", + " > cme@ellisun.sw.stratus.com (Carl Ellison)\n", + " > Gwyn@BRL.MIL (Doug Gwyn)\n", + " > smb@ulysses.att.com (Steven Bellovin)\n", + "\n", + " NIST (U.S. National Institute for Standards and Technology)\n", + " publishes an introductory paper on cryptography, special\n", + " publication 800-2 ``Public-Key Cryptograhy'' by James Nechvatal\n", + " (April 1991). Available via anonymous FTP from\n", + " csrc.ncsl.nist.gov (129.6.54.11), file pub/nistpubs/800-2.txt. \n", + " Also via available anonymous FTP from wimsey.bc.ca as crypt.txt.Z\n", + " in the crypto directory. Covers technical mathematical aspects\n", + " of encryption such as number theory.\n", + "\n", + " More general information can be found in a FAQ by Paul Fahn of RSA\n", + " Labortories via anonymous FTP from rsa.com in /pub/faq.ps.Z. See\n", + " the `readme' file for information on the `tex' version. Also\n", + " available as hardcopy for $20 from RSA Laboratories, 100 Marine\n", + " Parkway, Redwood City, CA 94065. Send questions to\n", + " faq-editor@rsa.com.\n", + "\n", + " Phil Zimmerman's PGP (Pretty Good Privacy) public-domain package\n", + " for public key encryption is available at numerous sites, and is\n", + " in widespread use over the internet for general UNIX-based file\n", + " encryption (including email). Consult the archie FTP database. \n", + " Also see the newsgroup alt.security.pgp. Mailing list requests\n", + " to info-pgp-request@lucpul.it.luc.edu.\n", + "\n", + " From the RIPEM FAQ by Marc VanHeyningen\n", + " on news.answers:\n", + "\n", + " > RIPEM is a program which performs Privacy Enhanced Mail (PEM)\n", + " > using the cryptographic techniques of RSA and DES. It allows\n", + " > your electronic mail to have the properties of authentication\n", + " > (i.e. who sent it can be confirmed) and privacy (i.e. nobody can\n", + " > read it except the intended recipient.)\n", + " > \n", + " > RIPEM was written primarily by Mark Riordan\n", + " > . Most of the code is in the public domain,\n", + " > except for the RSA routines, which are a library called RSAREF\n", + " > licensed from RSA Data Security Inc.\n", + " > \n", + " > RIPEM is available via anonymous FTP to citizens and permanent\n", + " > residents in the U.S. from rsa.com; cd to rsaref/ and read the\n", + " > README file for info.\n", + " > \n", + " > RIPEM, as well as some other crypt stuff, has its `home site' on\n", + " > rpub.cl.msu.edu, which is open to non-anonymous FTP for users in\n", + " > the U.S. and Canada who are citizens or permanent residents. To\n", + " > find out how to obtain access, ftp there, cd to pub/crypt/, and\n", + " > read the file GETTING_ACCESS.\n", + "\n", + " Note: cryptography is generally not well integrated into email yet\n", + " and some system proficiency is required by users to utilize it.\n", + "\n", + "_____\n", + "<4.3> What is the cypherpunks mailing list?\n", + "\n", + " Eric Hughes runs the `cypherpunk' mailing list\n", + " dedicated to ``discussion about technological defenses for privacy\n", + " in the digital domain.'' Send email to\n", + " cypherpunks-request@toad.com to be added or subtracted from the\n", + " list. From the charter:\n", + "\n", + " > The most important means to the defense of privacy is encryption.\n", + " > To encrypt is to indicate the desire for privacy. But to encrypt\n", + " > with weak cryptography is to indicate not too much desire for\n", + " > privacy. Cypherpunks hope that all people desiring privacy will\n", + " > learn how best to defend it.\n", + "\n", + "_____\n", + "<4.4> What are some privacy-related newsgroups? FAQs?\n", + " \n", + " Newsgroups\n", + " ==========\n", + "\n", + " alt.comp.acad-freedom.news\n", + " alt.comp.acad-freedom.talk \n", + " --------------------------\n", + " Moderated and unmoderated issues related to academic freedom and\n", + " privacy at universities. Documented examples of violated\n", + " privacy in e.g. email. Documented examples of `censorship' as\n", + " in e.g. limiting USENET groups local availability.\n", + "\n", + " alt.cyberpunks\n", + " --------------\n", + " Virtual reality, (science) fiction by William Gibson and Bruce \n", + " Sterling, cyberpunk in the mainstream.\n", + " \n", + " alt.hackers\n", + " -----------\n", + " USENET Network News Transfer Protocol (NNTP) posting mechanisms, \n", + " Simple Mail Transfer Protocol (SMTP), `obligatory hack' reports.\n", + "\n", + " alt.privacy\n", + " -----------\n", + " General privacy issues involving taxpaying, licensing, social\n", + " security numbers, etc.\n", + " \n", + " alt.security \n", + " comp.security.misc\n", + " ------------------\n", + " Computer related security issues. FAQ in news.answers below.\n", + " \n", + " alt.security.pgp\n", + " alt.security.ripem\n", + " ----------------\n", + " Dedicated to discussing public domain cryptographic software\n", + " packages: PGP, or ``Pretty Good Privacy'' Software developed by\n", + " Phil Zimmerman for public key encryption, and RIPEM by Mark\n", + " Riordan for public key and DES encryption.\n", + " \n", + " comp.society.privacy\n", + " --------------------\n", + " Privacy issues associated with computer technologies. Examples:\n", + " caller identification, social security numbers, credit\n", + " applications, mailing lists, etc. Moderated.\n", + " \n", + " comp.eff.news\n", + " comp.eff.talk\n", + " -------------\n", + " Moderated and unmoderated groups associated with the Electronic\n", + " Frontier Foundation started by Mitch Kapor for protecting civil\n", + " and constitutional rights in the electronic realm.\n", + " \n", + " news.admin\n", + " news.admin.policy\n", + " -----------------\n", + " Concerns of news administrators. NNTP standards and mechanisms.\n", + " \n", + " news.lists\n", + " ----------\n", + " USENET traffic distributions. Most frequent posters, most\n", + " voluminous groups, most active sites, etc.\n", + " \n", + " sci.crypt\n", + " ---------\n", + " Considers scientific and social issues of cryptography. \n", + " Examples: legitimate use of PGP, public-key patents, DES,\n", + " cryptographic security, cypher breaking, etc.\n", + " \n", + "\n", + " FAQs\n", + " ====\n", + "\n", + " FAQs or ``Frequently-Asked Questions'' are available in the\n", + " newsgroups *.answers or via anonymous FTP to pit-manager.mit.edu\n", + " [18.172.1.27] (also rtfm.mit.edu) from the directory\n", + " /pub/usenet/news.answers/[x] where [x] is the archive name. This\n", + " FAQ is archived in the file `net-privacy'. Others are:\n", + "\n", + " network-info/part1 \n", + " ------------------\n", + " Sources of information about the Internet and how to connect to\n", + " it, through the NSF or commercial vendors.\n", + " \n", + " alt-security-faq\n", + " ----------------\n", + " Computer related security issues arising in alt.security and\n", + " comp.security.misc, mostly UNIX related.\n", + " \n", + " ssn-privacy \n", + " -----------\n", + " Privacy issues associated with the use of the U.S. Social\n", + " Security number (SSN).\n", + " \n", + " pdial\n", + " -----\n", + " Public dialup internet accounts list.\n", + " \n", + " college-email/part1\n", + " -------------------\n", + " How to find email addresses for undergraduate and graduate\n", + " students, faculty and staff at various colleges and\n", + " universities.\n", + " \n", + " ripem/faq\n", + " ---------\n", + " Information on RIPEM, a program for public key mail encryption\n", + " officially sanctioned by Public Key Partners Inc., the company\n", + " that owns patents on public key cryptography.\n", + " \n", + " unix-faq/faq/part1\n", + " ------------------\n", + " Frequently-asked questions about UNIX, including information on\n", + " `finger' and terminal spying.\n", + "\n", + " distributions/*\n", + " ---------------\n", + " Known geographic, university, and network distributions.\n", + "\n", + "_____\n", + "<4.5> What is internet Privacy Enhanced Mail (PEM)?\n", + "\n", + " Internet drafts on Privacy Enhanced Mail (PEM) describe a standard\n", + " under revision for six years delineating the official protocols for\n", + " email encryption. The standard has only recently stabilized and\n", + " implementations are being developed.\n", + "\n", + " - RFC-1421: ``Privacy Enhancement for Internet Electronic Mail: \n", + " Part I: Message Encryption and Authentication Procedures.'' J.\n", + " Linn <104-8456@mcimail.com>\n", + "\n", + " - RFC-1422: ``Privacy Enhancement for Internet Electronic Mail: Part\n", + " II: Certificate-Based Key Management'' S. Kent \n", + "\n", + " - RFC-1424: ``Privacy Enhancement for Internet Electronic Mail: \n", + " Part IV: Key Certification and Related Services'' B. Kaliski\n", + " \n", + "\n", + " - RFC-1423: ``Privacy Enhancement for Internet Electronic Mail: Part\n", + " III: Algorithms, Modes, and Identifiers'' D. Balenson\n", + " \n", + "\n", + " Send email to pem-info@tis.com for more information. See ``RFCs \n", + " related to privacy'' for information on how to obtain RFCs.\n", + " \n", + "_____\n", + "<4.6> What are other Requests For Comments (RFCs) related to privacy?\n", + "\n", + " RFC-822: SMTP, Simple Mail Transfer Protocol\n", + " RFC-977: NNTP, Network News Transfer Protocol\n", + " RFC-1036: Standard for interchange of network news messages\n", + " RFC-1208: Glossary of Networking Terms\n", + " RFC-1207: Answers to ``experienced Internet user'' questions\n", + " RFC-1206: Answers to ``new Internet user'' questions\n", + " RFC-1355: Privacy issues in Network Information center databases\n", + "\n", + " \n", + " RFC-1177 is ``FYI: Answers to commonly asked ``new internet user'' \n", + " questions, and includes: basic terminology on the Internet (TCP/IP,\n", + " SMTP, FTP), internet organizations such as IAB (Internet\n", + " Activities Board) and IETF (Internet Enbgineering Task Force), and\n", + " a glossary of terms. Also from ftp.eff.org:\n", + " /pub/internet-info/internet.q.\n", + "\n", + " > RFCs can be obtained via FTP from NIC.DDN.MIL, with the pathname\n", + " > RFC:RFCnnnn.TXT or RFC:RFCnnnn.PS (where `nnnn' refers to the\n", + " > number of the RFC). Login with FTP, username `anonymous' and\n", + " > password `guest'. The NIC also provides an automatic mail\n", + " > service for those sites which cannot use FTP. Address the\n", + " > request to SERVICE@NIC.DDN.MIL and in the subject field of the\n", + " > message indicate the RFC number, as in `Subject: RFC nnnn' (or\n", + " > `Subject: RFC nnnn.PS' for PostScript RFCs).\n", + " >\n", + " > RFCs can also be obtained via FTP from NIS.NSF.NET. Using FTP,\n", + " > login with username `anonymous' and password `guest'; then\n", + " > connect to the RFC directory (`cd RFC'). The file name is of the\n", + " > form RFCnnnn.TXT-1 (where `nnnn' refers to the number of the\n", + " > RFC). The NIS also provides an automatic mail service for those\n", + " > sites which cannot use FTP. Address the request to\n", + " > NIS-INFO@NIS.NSF.NET and leave the subject field of the message\n", + " > blank. The first line of the text of the message must be `SEND\n", + " > RFCnnnn.TXT-1', where nnnn is replaced by the RFC number.\n", + " \n", + "_____\n", + "<4.7> How can I run an anonymous remailer?\n", + "\n", + " Cypherpunk remailer source is at soda.berkeley.edu in the\n", + " /pub/cypherpunks directory. It's written in PERL, and is\n", + " relatively easy to install (no administrative rights are required).\n", + " Karl Barrus has more information and\n", + " modifications. Also, most remailer operators mentioned above are\n", + " amenable to discussing features, problems, and helping new sites\n", + " become operational. Address all points in the section\n", + " ``responsibities of anonymous use'' in this document prior to\n", + " advertising your service. You should be committed to the long-term\n", + " stability of the site and avoid running one surreptitiously.\n", + "\n", + "_____\n", + "<4.8> What are references on privacy in email?\n", + "\n", + "\n", + " Brown, Bob. ``EMA Urges Users to Adopt Policy on E-mail Privacy.'' \n", + " Network World (Oct 29, 1990), 7.44: 2.\n", + " \n", + " Bairstow, Jeffrey. ``Who Reads your Electronic Mail?'' Electronic\n", + " Business (June 11, 1990) 16 (11): 92.\n", + "\n", + " ``Electronic Envelopes - the uncertainty of keeping e-mail private''\n", + " Scientific American, February 1993.\n", + "\n", + " ftp.eff.org\n", + " ===========\n", + "\n", + " /pub/eff/papers/email_privacy\n", + " ---\n", + " Article on the rights of email privacy. by Ruel T. Hernandez.\n", + "\n", + " /pub/academic/law/privacy.email\n", + " ---\n", + " ``Computer Electronic Mail and Privacy'', an edited version of a\n", + " law school seminar paper by Ruel T. Hernadez.\n", + "\n", + " /pub/eff/papers/email-privacy-biblio-2\n", + " ---\n", + " Compilation of bibliography on E-Mail and its privacy issues (part\n", + " 2 of the work). Compiled by Stacy B. Veeder (12/91).\n", + "\n", + " /pub/eff/papers/email-privacy-research\n", + " ---\n", + " The author at Digital Research tried to formalize their employee\n", + " privacy policy on E-Mail. The casesightings are divided into two\n", + " groups: US Constitutional law, and California law.\n", + "\n", + " /pub/eff/papers/company-email\n", + " ---\n", + " Formulating a Company Policy on Access to and Disclosure of\n", + " Electronic Mail on Company Computer Systems by David R. Johnson\n", + " and John Podesta for the Electronic Mail Assocation\n", + "\n", + " /pub/cud/alcor\n", + " ---\n", + " Information on Alcor Co., an e-mail privacy suit.\n", + "\n", + " /pub/academic/law/privacy.email\n", + " ---\n", + " Email privacy search at Berkeley.\n", + "\n", + "_____\n", + "<4.9> What are some email, Usenet, and internet use policies?\n", + "\n", + " The Computer Policy and Critiques Archive is a collection of the\n", + " computer policies of many schools and networks, run by the\n", + " Computers and Academic Freedom group on the Electronic Frontier\n", + " Foundation FTP site. The collection also includes critiques of some\n", + " of the policies.\n", + "\n", + " > If you have gopher, the archive is browsable with the command:\n", + " > gopher -p academic/policies gopher.eff.org\n", + " > \n", + " > The archive is also accessible via anonymous ftp and email. Ftp\n", + " > to ftp.eff.org (192.88.144.4). It is in directory\n", + " > `pub/academic/policies'. For email access, send email to\n", + " > archive-server@eff.org. Include the line:\n", + " > \n", + " > send acad-freedom/policies \n", + " > \n", + " > where is a list of the files that you want. File\n", + " > README is a detailed description of the items in the directory.\n", + " > \n", + " > For more information, to make contributions, or to report typos\n", + " > contact J.S. Greenfield (greeny@eff.org). Directory `widener'\n", + " > contains additional policies (but not critiques).\n", + "\n", + "\n", + " ftp.eff.org\n", + " ===========\n", + " \n", + " /pub/cud/networks\n", + " ---\n", + " Acceptable Use Policies for various networks, including CompuServe\n", + " (file `compuserve'), NSFNET (file `nsfnet') with information on\n", + " research and commercial uses. See /pub/cud/networks/index.\n", + "\n", + " /pub/cud/networks/email\n", + " ---\n", + " Policies from various sysadmins about how they handle the issue of\n", + " email privacy, control, and abuse, compiled by T. Hooper \n", + " .\n", + " \n", + " /pub/cud/schools/\n", + " ---\n", + " Computer use policies of a number of schools. See schools/Index\n", + " for a full list and description.\n", + "\n", + " \n", + " Commentary\n", + " ==========\n", + "\n", + " /pub/academic/faq/policy.best\n", + " ---\n", + " Opinions on the best academic computer policies.\n", + "\n", + "\n", + " /pub/academic/faq/email.policies\n", + " ---\n", + " Do any universities treat email and computer files as private?\n", + "\n", + " /pub/academic/faq/netnews.writing\n", + " ---\n", + " Policies on what users write on Usenet.\n", + "\n", + " /pub/academic/faq/netnews.reading\n", + " ---\n", + " Policies on what users read on Usenet: should my university remove\n", + " (or restrict) Netnews newsgroups because some people find them\n", + " offensive?\n", + "\n", + " /pub/academic/faq/policy\n", + " ---\n", + " What guidance is there for creating or evaluating a university's\n", + " academic computer policy?\n", + "\n", + "______\n", + "<4.10> What is the MIT ``CROSSLINK'' anonymous message TV program?\n", + "\n", + " > CROSSLINK is an anonymous message system run on MIT Student\n", + " > Cable TV-36. It provides an anonymous medium through which MIT\n", + " > students can say those things they might otherwise find\n", + " > difficult, inconvenient or impossible to say in person. It's\n", + " > also a way to send fun or totally random messages to your\n", + " > friends over the air. It is similar to the anonymous message\n", + " > pages found in many college newspapers, except that it's\n", + " > electronic in nature and it's free.\n", + "\n", + " Messages can be posted to the service via email. For more\n", + " information send email to crosslink@athena.mit.edu.\n", + "\n", + "\n", + "MISCELLANEOUS\n", + "=============\n", + "\n", + "_____\n", + "<5.1> What is ``digital cash''?\n", + "\n", + " With digital encryption and authentication technologies, the\n", + " possibility of a widespread digital cash system may someday be\n", + " realized. A system utilizing codes sent between users and banks\n", + " (similar to today's checking system except entirely digital) may\n", + " be one approach. The issues of cryptography, privacy, and\n", + " anonymity are closely associated with transfer of cash in an\n", + " economy. See the article in Scientific American by David Chaum\n", + " (~Dec.1992).\n", + "\n", + " An experimental digital bank is run by Karl Barrus\n", + " based on suggestions by Hal Finney on the\n", + " cypherpunks mailing list. To use the server send mail to\n", + " elee7h5@rosebud.ee.uh.edu message with the following text:\n", + "\n", + " ::\n", + " command: help\n", + " \n", + " user@host\n", + "\n", + " where `user@host' is your email address.\n", + " \n", + " \n", + "_____\n", + "<5.2> What is a ``hacker'' or ``cracker''?\n", + "\n", + " These terms arouse strong feelings by many on their meaning,\n", + " especially on the internet. In the general news media in the past\n", + " a person who uses computers and networks to malicious ends (such as\n", + " breaking into systems) has been referred to as a hacker, but most\n", + " internet users prefer the term ``cracker'' for this. Instead, a\n", + " ``hacker'' is perceived as a benign but intensely ambitious,\n", + " curious, and driven computer user who explores obscure areas of a\n", + " system, for example---something of a proud electronic pioneer and\n", + " patriot. This is the sense intended in this document. See also\n", + " the ``Hacker's Dictionary'' and the FAQ `alt-security-faq'.\n", + " \n", + " \n", + "_____\n", + "<5.3> What is a ``cypherpunk''?\n", + "\n", + " From the charter of the cypherpunk mailing list:\n", + "\n", + " > Cypherpunks assume privacy is a good thing and wish there were\n", + " > more of it. Cypherpunks acknowledge that those who want privacy\n", + " > must create it for themselves and not expect governments,\n", + " > corporations, or other large, faceless organizations to grant\n", + " > them privacy out of beneficence. Cypherpunks know that people\n", + " > have been creating their own privacy for centuries with whispers,\n", + " > envelopes, closed doors, and couriers. Cypherpunks do not seek\n", + " > to prevent other people from speaking about their experiences or\n", + " > their opinions.\n", + "\n", + " See information on the cypherpunk mailing list below.\n", + "\n", + " See also the CryptoAnarchist Manifesto and the Cryptography Glossary\n", + " in soda.berkeley.edu:/pub/cypherpunks.\n", + "\n", + "_____\n", + "<5.4> What is `steganography' and anonymous pools?\n", + "\n", + " Closely associated with encryption is `steganography' or the\n", + " techniques for not only pursuing private (encrypted) communication\n", + " but concealing the very existence of the communication itself. \n", + " Many new possibilities in this area are introduced with the\n", + " proliferation of computer technology. For example, it is possible\n", + " to encode messages in the least-significant bits of images,\n", + " typically the most 'noisy'. In addition, when such an item is\n", + " posted in a public place (such as a newsgroup), virtually\n", + " untraceable communication can take place between sender and\n", + " receiver. For steganographic communications in the electronic\n", + " realm one another possibility is setting up a mailing list where\n", + " individual messages get broadcast to the entire list and individual\n", + " users decode particular messages with their unique key. An\n", + " anonymous pool has been set up by Miron Cuperman\n", + " (miron@extropia.wimsey.com) for experiments. Send email to\n", + " with one of the following\n", + " commands in the subject line:\n", + "\n", + " subscribe\n", + " unsubscribe\n", + " help\n", + "\n", + "_____\n", + "<5.5> What is `security through obscurity'?\n", + "\n", + " `Security through obscurity' refers to the attempt to gain\n", + " protection from system weaknesses by hiding sensitive information\n", + " or programs relating to them. For example, a company may not make\n", + " public information on its software's encryption techniques to evade\n", + " `attacks' based on knowledge of it. Another example would be\n", + " concealing data on the existence of security holes or bugs in\n", + " operating systems. Or, some reliance may be made on the fact that\n", + " some standard or mechanism with potential problems is serious\n", + " because they are ``not widely known'' or ``not widely used.'' This\n", + " argument is occasionally applied to mechanisms for email and Usenet\n", + " posting `forgery'. `Security through obscurity' is regarded as a\n", + " very feeble technique at best and inappropriate and ineffective at\n", + " worst (also called the ``head-in-the-sand approach''). See the FAQ\n", + " for alt.security. \n", + " \n", + " Some remarks of John Perry Barlow, cofounder of the Electronic\n", + " Frontier Foundation, directed to NSA agents at the First\n", + " International Symposium on National Security & National\n", + " Competitiveness held in McLean, Virginia Dec. 1, 1992:\n", + "\n", + " > Digitized information is very hard to stamp classified or keep\n", + " > contained. ... This stuff is incredibly leaky and volatile. It's\n", + " > almost a life form in its ability to self-propagate. If\n", + " > something hits the Net and it's something which people on there\n", + " > find interesting it will spread like a virus of the mind. I\n", + " > believe you must simply accept the idea that we are moving into\n", + " > an environment where any information which is at all interesting\n", + " > to people is going to get out. And there will be very little\n", + " > that you can do about it. This is not a bad thing in my view,\n", + " > but you may differ...\n", + "\n", + "_____\n", + "<5.6> What are `identity daemons'?\n", + " \n", + " RFC-931 describes a protocol standard that allows UNIX programs to\n", + " query a remote user's login name after connection to a local\n", + " communication socket (a connection of this type is established\n", + " during FTP and TELNET sessions, for example). The standard is not\n", + " widely supported, perhaps 10% of internet sites currently implement\n", + " it but the number is increasing. The mechanism is detrimental to\n", + " anonymity. Regular users cannot disable it but system\n", + " adminstrators can circumvent it. This standard may represent a\n", + " trend toward greater authentication mechanisms.\n", + "\n", + "_____\n", + "<5.7> What new standards are needed to guard electronic privacy?\n", + "\n", + "\n", + " Remailing/Posting\n", + " -----------------\n", + " \n", + " - Stable, secure, protected, officially sanctioned and permitted,\n", + " publicly and privately operated anonymous servers and hubs.\n", + " - Official standards for encryption and anonymity in mail and USENET\n", + " postings.\n", + " - Truly anonymous protocols with source and destination information\n", + " obscured or absent and hidden routing mechanisms (chaining,\n", + " encrypted addresses, etc.)\n", + " - Standards for anonymous email addressing, embedding files, and\n", + " remailer site chaining.\n", + " \n", + " General\n", + " -------\n", + " \n", + " - Recognition of anonymity, cryptography, and related privacy\n", + " shields as legitimate, useful, desirable, and crucial by the\n", + " general public and their governments.\n", + " - Widespread use and implementation of these technologies \n", + " by systems designers into\n", + " hardware, software, and standards, implemented `securely,'\n", + " `seamlessly,' and `transparently'.\n", + " - General shift of use, dependence, and reliance to means other than\n", + " wiretapping and electronic surveillance by law enforcement\n", + " agencies.\n", + " - Publicity, retraction, and dissolution of laws and government\n", + " agencies opposed to privacy, replaced by structures dedicated to\n", + " strengthening and protecting it.\n", + "\n", + "\n", + "ISSUES\n", + "======\n", + "\n", + "_____\n", + "<6.1> What is the Electronic Frontier Foundation (EFF)?\n", + "\n", + " From ftp.eff.org:/pub/EFF/mission_statement:\n", + "\n", + " > A new world is arising in the vast web of digital, electronic\n", + " > media which connect us. Computer-based communication media like\n", + " > electronic mail and computer conferencing are becoming the basis\n", + " > of new forms of community. These communities without a single,\n", + " > fixed geographical location comprise the first settlements on an\n", + " > electronic frontier.\n", + " > \n", + " > While well-established legal principles and cultural norms give\n", + " > structure and coherence to uses of conventional media like\n", + " > newspapers, books, and telephones, the new digital media do not\n", + " > so easily fit into existing frameworks. Conflicts come about as\n", + " > the law struggles to define its application in a context where\n", + " > fundamental notions of speech, property, and place take\n", + " > profoundly new forms. People sense both the promise and the\n", + " > threat inherent in new computer and communications technologies,\n", + " > even as they struggle to master or simply cope with them in the\n", + " > workplace and the home.\n", + " > \n", + " > The Electronic Frontier Foundation has been established to help\n", + " > civilize the electronic frontier; to make it truly useful and\n", + " > beneficial not just to a technical elite, but to everyone; and to\n", + " > do this in a way which is in keeping with our society's highest\n", + " > traditions of the free and open flow of information and\n", + " > communication.\n", + " \n", + " EFF was started by the multimillionaire Mitchell Kapor, founder of\n", + " Lotus software, and John Barlow, lyricist for the Grateful Dead\n", + " rock band. A highly publicized endeavor of the organization\n", + " involved the legal defense of Steve Jackson Games after an FBI\n", + " raid and an accompanying civil suit (see section on ``Steve\n", + " Jackson Games''). The foundation publishes EFF News (EFFector\n", + " Online) electronically, send requests to effnews-request@eff.org.\n", + " \n", + " In a letter to Mitchell Kapor from the Chairman of the Subcommittee\n", + " with primary jurisdiction over telecommunications policy dated\n", + " November 5, 1991, Representative Edward J. Markey complemented\n", + " Mitchell Kapor on his ``insights on the development of a national\n", + " public information infrastructure'' which ``were appreciated greatly\n", + " by myself and the Members of the Subcommittee'' (complete text in \n", + " ftp.eff.com:/pub/pub-infra/1991-12):\n", + "\n", + " > ...we need to pursue policies that encourage the Bell companies to\n", + " > work with other sectors of the communications industry to create\n", + " > a consumer-oriented, public information network. Please let me or\n", + " > my staff know what policies you and others in the computer\n", + " > industry believe would best serve the public interest in creating\n", + " > a reasonably priced, widely available network in which\n", + " > competition is open and innovation rewarded. I also want to\n", + " > learn what lessons from the computer industry over the past ten\n", + " > to fifteen years should apply to the current debate on\n", + " > structuring the information and communications networks of the\n", + " > future....I ask your help in gaining input from the computer\n", + " > industry so that the Subcommittee can shape policies that will\n", + " > bring this spirit of innovation and entrepreneurship to the\n", + " > information services industry. \n", + "\n", + " ftp.eff.org\n", + " ===========\n", + " \n", + " /pub/eff/about-eff\n", + " ---\n", + " A file of basic information about EFF including goals, mission,\n", + " achievements, and current projects. Contains a membership form.\n", + "\n", + " /pub/eff/mission-statement\n", + " ---\n", + " EFF mission statement.\n", + "\n", + " /pub/eff/historical/founding-announcement\n", + " ---\n", + " EFF founding press release.\n", + "\n", + " /pub/eff/historical/eff-history\n", + " ---\n", + " John Perry Barlow's ``Not Terribly Brief History of the EFF'' (July\n", + " 10, 1990). How EFF was conceived and founded, major legal cases,\n", + " and the organizational directions.\n", + "\n", + " /pub/eff/historical/legal-case-summary\n", + " ---\n", + " EFF legal case summary.\n", + "\n", + "\n", + "_____\n", + "<6.2> Who are Computer Professionals for Social Responsibility (CPSR)?\n", + "\n", + " The Computer Professionals for Social Responsibility have been\n", + " working to protect and promote electronic civil liberties issues\n", + " since ~1982. The group has three offices (Palo Alto, Cambridge,\n", + " Washington, DC) and 20 chapters. It is involved in litigation\n", + " against the FBI, The NSA, NIST, the Secret Service and other other\n", + " U.S. government agencies to declassify and provide documentation\n", + " on issues such as Operation Sundevil, the FBI wiretap proposal,\n", + " NSA's interference in crypography, the breakup of the 2600 raid in\n", + " Arlington, Va in Nov 1992. Members speak frequently in front on\n", + " Congress, state legislators and public utility commissions to\n", + " testify on privacy, information policy, computer security, and\n", + " caller identification.\n", + "\n", + " CPSR has created an extensive Internet Privacy library available\n", + " via FTP, Gopher, WAIS, and email at cpsr.org, currently comprising\n", + " the largest collection of privacy documents on the internet. For\n", + " more information, anonymous FTP cpsr.org:/cpsr/.\n", + "\n", + "\n", + " (Thanks to Dave Banisar for contributions\n", + " here.)\n", + "\n", + "_____\n", + "<6.3> What was `Operation Sundevil' and the Steve Jackson Game case?\n", + "\n", + " In the early 1990's a fear spread among U.S. law enforcement agencies\n", + " on the illicit activities of `hackers' and `phreakers' involved in\n", + " such activities as credit card fraud and long-distance call thievery.\n", + " \n", + " (see ftp.eff.org:/pub/SJG/General_Information/EFFector1.04):\n", + "\n", + " > `Operation Sundevil,' the Phoenix-inspired crackdown of May\n", + " > 8,1990, concentrated on telephone code-fraud and credit-card\n", + " > abuse, and followed this seizure plan with some success. \n", + " > [Bulletin Board Systems] went down all over America, terrifying\n", + " > the underground and swiftly depriving them of at least some of\n", + " > their criminal instruments. It also saddled analysts with some\n", + " > 24,000 floppy disks, and confronted harried Justice Department\n", + " > prosecutors with the daunting challenge of a gigantic nationwide\n", + " > hacker show-trial involving highly technical issues in dozens of\n", + " > jurisdictions.\n", + "\n", + " Massive `show-trials' never materialized, although isolated\n", + " instances of prosecution were pursued. The movement reached a\n", + " crescendo in Texas with the highly publicized case of illegal\n", + " search and seizure involving the Steve Jackson Games company of\n", + " Austin Texas on March 1, 1990. From the column GURPS' LABOUR LOST\n", + " by Bruce Sterling in Fantasy and Science\n", + " Fiction Magazine:\n", + "\n", + " > In an early morning raid with an unlawful and unconstitutional\n", + " > warrant, agents of the Secret Service conducted a search of the\n", + " > SJG office. When they left they took a manuscript being prepared\n", + " > for publication, private electronic mail, and several computers,\n", + " > including the hardware and software of the SJG Computer Bulletin\n", + " > Board System. Yet Jackson and his business were not only\n", + " > innocent of any crime, but never suspects in the first place. \n", + " > The raid had been staged on the unfounded suspicion that\n", + " > somewhere in Jackson's office there `might be' a document\n", + " > compromising the security of the 911 telephone system.\n", + "\n", + " FBI agents involved in the seizure were named in a civil suit filed\n", + " on behalf of Steve Jackson Games by The Electronic Frontier\n", + " Foundation. See information on EFF below. From an article by Joe\n", + " Abernathy in the Houston Chronicle ~Feb 1, 1993:\n", + " \n", + " > AUSTIN -- An electronic civil rights case against the Secret\n", + " > Service closed Thursday with a clear statement by federal\n", + " > District Judge Sam Sparks that the Service failed to conduct a\n", + " > proper investigation in a notorious computer crime crackdown,\n", + " > and went too far in retaining custody of seized equipment. \n", + " > \n", + " > Secret Service Special Agent Timothy Foley of Chicago, who was in\n", + " > charge of three Austin computer search-and-seizures on March 1,\n", + " > 1990, that led to the lawsuit, stoically endured Spark's rebuke\n", + " > over the Service's poor investigation and abusive computer\n", + " > seizure policies. While the Service has seized dozens of\n", + " > computers since the crackdown began in 1990, this is the first\n", + " > case to challenge the practice. \n", + " > \n", + " > Sparks grew visibly angry when it was established that the Austin\n", + " > science fiction magazine and game book publisher was never\n", + " > suspected of a crime, and that agents did not do even marginal\n", + " > research to establish a criminal connection between the firm and\n", + " > the suspected illegal activities of an employee, or to determine\n", + " > that the company was a publisher. Indeed, agents testified that\n", + " > they were not even trained in the Privacy Protection Act at the\n", + " > special Secret Service school on computer crime. \n", + " > \n", + " > \"How long would it have taken you, Mr. Foley, to find out what\n", + " > Steve Jackson Games did, what it was?\" asked Sparks. \"An hour? \n", + " > \n", + " > \"Was there any reason why, on March 2, you could not return to\n", + " > Steve Jackson Games a copy, in floppy disk form, of everything\n", + " > taken? \n", + " > \n", + " > \"Did you read the article in Business Week magazine where it had\n", + " > a picture of Steve Jackson -- a law-abiding, tax-paying citizen\n", + " > -- saying he was a computer crime suspect? \n", + " > \n", + " > \"Did it ever occur to you, Mr. Foley, that seizing this material\n", + " > could harm Steve Jackson economically?\" \n", + " > \n", + " > Foley replied, \"No, sir,\" but the judge offered his own answer. \n", + " > \n", + " > \"You actually did, you just had no idea anybody would actually go\n", + " > out and hire a lawyer and sue you.\" \n", + " > \n", + " > More than $200,000 has been spent by the Electronic Frontier \n", + " > Foundation in bringing the case to trial. The EFF was founded by \n", + " > Mitchell Kapor amid a civil liberties movement sparked in large\n", + " > part by the Secret Service computer crime crackdown. \n", + "\n", + "\n", + " ftp.eff.org\n", + " ===========\n", + " \n", + " /pub/cud/papers/sundevil\n", + " ---\n", + " A collection of information on Operation SunDevil by the Epic\n", + " nonprofit publishing project. Everything you wanted to know but\n", + " could never find.\n", + "\n", + " /pub/cud/papers/sj-resp\n", + " ---\n", + " Steve Jackson's response to the charges against him.\n", + "\n", + "_____\n", + "<6.4> What is Integrated Services Digital Network (ISDN)?\n", + "\n", + " ISDN is a high-speed data communications standard that utilizes\n", + " existing copper telephone lines, and is a possible inexpensive and\n", + " intermediate alternative to laying fiber optic cable for phone\n", + " networks. The speeds involved may be sufficient for audio and\n", + " video transmission applications. G. V. der Leun in the file\n", + " ftp.eff.org: /pub/pub-infra/1991-11:\n", + "\n", + " > Telecommunications in the United States is at a crossroads. With\n", + " > the Regional Bell Operating Companies now free to provide\n", + " > content, the shape of the information networking is about to be\n", + " > irrevocably altered. But will that network be the open,\n", + " > accessible, affordable network that the American public needs? \n", + " > You can help decide this question.\n", + " > \n", + " > The Electronic Frontier Foundation recently presented a plan to\n", + " > Congress calling for the immediate deployment of a national\n", + " > network based on existing ISDN technology, accessible to anyone\n", + " > with a telephone connection, and priced like local voice service.\n", + " > We believe deployment of such a platform will spur the\n", + " > development of innovative new information services, and maximize\n", + " > freedom, competitiveness, and civil liberties throughout the\n", + " > nation.\n", + " > \n", + " > The EFF is testifying before Congress and the FCC; making\n", + " > presentations to public utility commisions from Massachusetts to\n", + " > California; and meeting with representatives from telephone\n", + " > companies, publishers, consumer advocates, and other stakeholders\n", + " > in the telecommunications policy debate.\n", + " > \n", + " > The EFF believes that participants on the Internet, as pioneers on\n", + " > the electronic frontier, need to have their voices heard at this\n", + " > critical moment.\n", + "\n", + " To automatically receive a description of the platform and details,\n", + " send mail to archive-server@eff.org, with the following line:\n", + "\n", + " send documents open-platform-overview\n", + "\n", + " or send mail to eff@eff.org. See also the Introduction to the EFF\n", + " Open Platform Proposal in ftp.eff.org:/pub/pub-infra/1991-02.\n", + "\n", + " \n", + " References\n", + " ==========\n", + "\n", + " ``Digital Data On Demand.'' MacWorld, 2/82 (page 224).\n", + " ---\n", + " 56Kbps vs. ISDN services and products. See comments by J. Powers\n", + " in ftp.eff.org:pub/pub-infra/1992-02.\n", + "\n", + " ``Telephone Service That Rings of the Future.'' By Joshua Quittner. \n", + " Newsday, Tue, Jan 7 1992.\n", + " ---\n", + " Implications of ISDN for the masses, written in popular science\n", + " style. John Perry Barlow (cofounder EFF). Regional telephone\n", + " companies (Ohio Bell). ISDN as ``Technological Rorschach Test.''\n", + " Anecdotes about McDonald's, Barbara Bush teleconferencing. See\n", + " complete text in ftp.eff.org:/pub/pub-infra/1992-01.\n", + " \n", + " ftp.eff.org:/pub/pub-infra/\n", + " ---\n", + " Files 1991-11 through 1992-05 containing email from the EFF public\n", + " infrastructure group organized by month. Opinions and facts on\n", + " the pros and cons of ISDN, Integrated Services Digital Network. \n", + " Uses of ISDN (phone video, audio, etc.) Japanese model.\n", + " Alternatives to ISDN (HDSL, ADSL, fiber optics). Technical \n", + " specifications of ISDN, implementation details, cost issues,\n", + " political obstacles, (RBOC, Regional Bell Operating Companies or\n", + " `Baby Bells', e.g. NET, New England Telephone). Influencing\n", + " development of future networks (e.g. ISDN and NREN, National\n", + " Research and Education Network), encouraging competition (cable\n", + " TV systems). Press releases and news articles. Letter from Rep.\n", + " E. J. Markey to M. Kapor.\n", + "\n", + "_____\n", + "<6.5> What is the National Research and Education Network (NREN)?\n", + "\n", + " The Nation Research and Education Network was introduced in\n", + " legislation cosponsored by Sen. A. Gore to promote high-speed data\n", + " network infrastructure augmenting the internet with up to 50 times\n", + " faster transmission rates. The bill passed the House on November\n", + " 20, 1991, the Senate on November 22, 1991, and was signed by the\n", + " President on December 9, 1991.\n", + "\n", + " ftp.eff.org\n", + " ===========\n", + " \n", + " /pub/EFF/legislation/nren-bill-text\n", + " ---\n", + " The complete text of the House-Senate compromise version of S.\n", + " 272, the High-Performance Computing Act.\n", + "\n", + " /pub/internet-info/gore.bill\n", + " ---\n", + " 102nd congress 1st Session. Text of high performance computing\n", + " bill cosponsored by Sen. A. Gore.\n", + "\n", + "\n", + " /pub/EFF/legislation/gore-infrastructure-bill\n", + " ---\n", + " The text of S.2937, the Information Infrastructure and Technology\n", + " Act of 1992 introduced by Senator Gore to expand Federal efforts\n", + " to develop technologies for applications of high-performance\n", + " computing and high-speed networking, and to provide for a\n", + " coordinated Federal program to accelerate development and\n", + " deployment of an advanced information infrastructure.\n", + "\n", + " U.S. SAID TO PLAY FAVORITES IN PROMOTING NATIONWIDE COMPUTER NETWORK\n", + " By John Markoff, N.Y. Times (~18 Dec 91).\n", + " ---\n", + " President Bush's legislation for natiowide computer data\n", + " `superhighway.' IBM-MCI venture as monopoly destructive to fair\n", + " competition and innovation? National Science Foundation NSFnet.\n", + " complete text in /pub/pub-infra/1991-12.\n", + "\n", + " Commentary\n", + " ==========\n", + "\n", + " /pub/academic/statements/nren.privacy.cpsr\n", + " ---\n", + " ``Proposed Privacy Guidelines for the NREN'' -- Statement of Marc\n", + " Rotenberg, Washington Director Computer Professionals for Social\n", + " Responsibility (CPSR).\n", + "\n", + " /pub/internet-info/cisler.nren\n", + " ---\n", + " The National Research and Education Network: Two meetings Steve\n", + " Cisler, Senior Scientist Apple Computer Library December 17, 1990\n", + " Summary of meetings exploring educational issues of NREN by\n", + " diverse members of academia and industry.\n", + "\n", + " /pub/internet-info/privatized.nren\n", + " ---\n", + " Feb. 14 1991 essay by M. Kapor advocating advantages of a private\n", + " National Public Network, and specific recommendations for open\n", + " NREN policies encouraging competition.\n", + "\n", + "\n", + " /pub/eff/papers/netproposition\n", + " ---\n", + " An FYI about the proposed NREN setup.\n", + "\n", + "_____\n", + "<6.6> What is the FBI's proposed Digital Telephony Act?\n", + "\n", + " ``Providers of electronic communication services and private branch\n", + " exchange operators shall provide within the United States\n", + " capability and capacity for the government to intercept wire and\n", + " electronic communications when authorized by law...''\n", + " \n", + " From `BBS Legislative Watch: FBIs Wiretapping Proposal Thwarted' by\n", + " S. Steele in Boardwatch Magazine, Feb. 1993, p. 19-22:\n", + " \n", + " > In a move that worried privacy experts, software manufacturers and\n", + " > telephone companies, the FBI proposed legislation to amend the\n", + " > Communications Act of 1934 to make it easier for the Bureau to\n", + " > perform electronic wiretapping. The proposed legislation,\n", + " > entitled 'Digital Telephony,' would have required communications\n", + " > service providers and hardware manufacturers to make their\n", + " > systems 'tappable' by providing 'back doors' through which law\n", + " > enforcement officers could intercept communications. Furthermore,\n", + " > this capability would have been provided undetectably, while the\n", + " > communications was in progress, exclusive of any communications\n", + " > between other parties, regardless of the mobility of the target\n", + " > of the FBI's investigation, and without degradation of service.\n", + " > \n", + " > ...under the proposal, the Department of Justice (DOJ) can keep\n", + " > communications products off the market if it determines that\n", + " > these products do not meet the DOJ's own ... guidelines. This\n", + " > [could] result in increased costs and reduced competitiveness for\n", + " > service providers and equipment manufacturers, since they will be\n", + " > unlikely to add any features that may result in a DOJ rejection\n", + " > of their entire product. ...the FBI proposal suggests that the\n", + " > cost of this wiretapping 'service' to the Bureau would have to be\n", + " > borne by the service provider itself...\n", + " > \n", + " > The Electronic Frontier Foundation organized a broad coalition of\n", + " > public interest and industry groups, from Computer Professionals\n", + " > for Social Responsibilty (CPSR) and the ACLU to AT&T and Sun\n", + " > Microsystems, to oppose the legislation. A white paper produced\n", + " > by the EFF and ratified by the coalition, entitled, `An Analysis\n", + " > of the FBI Digital Telephony Proposal,' was widely distributed\n", + " > throughout the Congress. ... The Justice Department lobbied hard\n", + " > in the final days to get Congress to take up the bill before\n", + " > Congress adjourned, but the bill never ... found a Congressional\n", + " > sponsor (and was therefore never officially introduced). The FBI\n", + " > [may] reintroduce \"Digital Telephony\" when the 103rd Congress\n", + " > convenes in January.\n", + "\n", + " ftp.eff.org\n", + " ===========\n", + " \n", + " /pub/eff/legislation/fbi-wiretap-bill\n", + " /pub/EFF/legislation/new-fbi-wiretap-bill\n", + " ---\n", + " A bill to ensure the continuing access of law enforcement to the\n", + " content of wire and electronic communications when authorized by\n", + " law and for other purposes. Version 2 of the bill after FBI\n", + " changes in response to public response.\n", + "\n", + " /pub/cud/law/hr3515\n", + " ---\n", + " House of Rep bill 3515, Telecommunications Law.\n", + "\n", + " Commentary\n", + " ==========\n", + " \n", + " /pub/eff/papers/eff-fbi-analysis\n", + " ---\n", + " The EFF-sponsored analysis of the FBI's Digital Telephony proposal.\n", + "\n", + " /pub/eff/papers/ecpa.layman\n", + " ---\n", + " The Electronic Communications Privacy Act of 1986: A Layman's View.\n", + "\n", + " /pub/eff/papers/nightline-wire\n", + " ---\n", + " Transcript of ABC's Nightline of May 22, 1992, on the FBI,\n", + " Privacy, and Proposed Wire-Tapping Legislation. Featured are Marc\n", + " Rotenberg of the CPSR and William Sessions, Director of the FBI.\n", + "\n", + " /pub/eff/papers/edwards_letter\n", + " ---\n", + " A letter from the Director of the Secret Service to US Rep. Don\n", + " Edwards, D-California, in response to questions raised by\n", + " Edwards' Subcommittee. This copy came from Computer Professionals\n", + " for Social Responsibility in Washington, D.C.\n", + "\n", + " /pub/eff/papers/fbi.systems\n", + " ---\n", + " A description of how information is stored on the FBI's computer\n", + " systems.\n", + "\n", + "\n", + "_____\n", + "<6.7> What other U.S. legislation is related to privacy?\n", + "\n", + " ftp.eff.org\n", + " ===========\n", + " \n", + " /pub/cud/law/ \n", + " ---\n", + " State computer crime laws:\n", + " AL, AK, AZ, CA, CO, CT, DE, FL, GA,\n", + " HI, IA, ID, IL, IN, MD, MN, NC, NJ,\n", + " NM, NY, OR, TX, VT, VA, WA, WI, WV.\n", + "\n", + " /pub/cud/law/\n", + " ---\n", + " Current computer crime laws for: The United States (federal\n", + " code), Canada, Ghana, and Great Britain.\n", + "\n", + " /pub/cud/law/bill.s.618\n", + " ---\n", + " Senate bill 618, addressing registration of encryption keys with\n", + " the government.\n", + "\n", + " /pub/cud/law/improve\n", + " ---\n", + " Improvement of Information Access bill.\n", + "\n", + " /pub/cud/law/monitoring\n", + " ---\n", + " Senate bill 516; concerning abuses of electronic monitoring in the\n", + " workplace.\n", + "\n", + " /pub/cud/law/us.e-privacy\n", + " ---\n", + " Title 18, relating to computer crime & email privacy.\n", + "\n", + " /pub/academic/law/privacy.electronic.bill\n", + " ---\n", + " The text of Simon's electronic privacy bill, S. 516. ``To prevent\n", + " potential abuses of electronic monitoring in the workplace.''\n", + "\n", + "_____\n", + "<6.8> What are references on rights in cyberspace?\n", + "\n", + " ftp.eff.org\n", + " ===========\n", + "\n", + " /pub/cud/papers/const.in.cyberspace\n", + " ---\n", + " Laurence Tribe's keynote address at the first Conference on\n", + " Computers, Freedom, & Privacy. `The Constitution in Cyberspace'\n", + "\n", + " /pub/cud/papers/denning\n", + " ---\n", + " Paper presented to 13th Nat'l Comp Security Conf ``Concerning\n", + " Hackers Who Break into Computer Systems'' by Dorothy E Denning.\n", + "\n", + " /pub/cud/papers/privacy\n", + " ---\n", + " ``Computer Privacy vs First and Fourth Amendment Rights'' by\n", + " Michael S. Borella\n", + "\n", + " /pub/cud/papers/rights-of-expr\n", + " ---\n", + " Rights of Expression in Cyberspace by R. E. Baird\n", + "\n", + " /pub/academic/eff.rights\n", + " ---\n", + " Bill of Rights' meaning in the Electronic Frontier.\n", + "\n", + "_____\n", + "<6.9> What is the Computers and Academic Freedom (CAF) archive?\n", + "\n", + " The CAF Archive is an electronic library of information about\n", + " computers and academic freedom. run by the Computers and Academic\n", + " Freedom group on the Electronic Frontier Foundation FTP site.\n", + " \n", + " > If you have gopher, the archive is browsable with the command:\n", + " > gopher -p academic gopher.eff.org\n", + " > \n", + " > It is available via anonymous ftp to ftp.eff.org (192.88.144.4) in\n", + " > directory `pub/academic'. It is also available via email. For\n", + " > information on email access send email to archive-server@eff.org.\n", + " > In the body of your note include the lines `help' and `index'.\n", + " > \n", + " > For more information, to make contributions, or to report typos\n", + " > contact J.S. Greenfield (greeny@eff.org).\n", + "\n", + " ftp.eff.org\n", + " ===========\n", + " \n", + " /pub/academic/statements/caf-statement\n", + " ---\n", + " Codifies the application of academic freedom to academic\n", + " computers, reflecting seven months of on-line discussion about\n", + " computers and academic freedom. Covers free expression, due\n", + " process, privacy, and user participation.\n", + "\n", + " /pub/academic/books\n", + " ---\n", + " Directory of book references related to Computers and Academic\n", + " Freedom or mentioned in the CAF discussion. The file books/README\n", + " is a bibliography.\n", + "\n", + " /pub/academic/faq/archive\n", + " ---\n", + " List of files available on the Computers and Academic Freedom\n", + " archive.\n", + "\n", + " /pub/academic/news\n", + " ---\n", + " Directory of all issues of the Computers and Academic Freedom\n", + " News. A full list of abstracts is available in file `abstracts'.\n", + " The special best-of-the-month issues are named with their month,\n", + " for example, `June'.\n", + "\n", + "\n", + "FOOTNOTES\n", + "=========\n", + "\n", + "\n", + "_____\n", + "<7.1> What is the background behind the Internet?\n", + " \n", + " The article ``Internet'' in Fantasy and Science Fiction by Bruce\n", + " Sterling contains general and nontechnical\n", + " introductory notes on origins of the Internet, including the role\n", + " of the RAND corporation, the goal of network resilience in face of\n", + " nuclear attack, MIT, UCLA, ARPANET, TCP/IP, NSF, NREN, etc.:\n", + "\n", + " > ARPANET itself formally expired in 1989, a happy victim of its \n", + " > own overwhelming success. Its users scarcely noticed, for\n", + " > ARPANET's functions not only continued but steadily improved. \n", + " > The use of TCP/IP standards for computer networking is now\n", + " > global. In 1971, a mere twenty-one years ago, there were only\n", + " > four nodes in the ARPANET network. Today there are tens of\n", + " > thousands of nodes in the Internet, scattered over forty-two\n", + " > countries, with more coming on-line every day. Three million,\n", + " > possibly four million people use this gigantic\n", + " > mother-of-all-computer-networks. \n", + " > \n", + " > The Internet is especially popular among scientists, and is \n", + " > probably the most important scientific instrument of the late \n", + " > twentieth century. The powerful, sophisticated access that it \n", + " > provides to specialized data and personal communication has sped\n", + " > up the pace of scientific research enormously. \n", + " > \n", + " > The Internet's pace of growth in the early 1990s is spectacular, \n", + " > almost ferocious. It is spreading faster than cellular phones,\n", + " > faster than fax machines. Last year the Internet was growing at\n", + " > a rate of twenty percent a *month.* The number of `host'\n", + " > machines with direct connection to TCP/IP has been doubling\n", + " > every year since 1988. The Internet is moving out of its\n", + " > original base in military and research institutions, into\n", + " > elementary and high schools, as well as into public libraries\n", + " > and the commercial sector.\n", + "\n", + " References\n", + " ==========\n", + "\n", + " Bowers, K., T. LaQuey, J. Reynolds, K. Roubicek, M. Stahl, and A.\n", + " Yuan, ``Where to Start - A Bibliography of General Internetworking\n", + " Information'' (RFC-1175), CNRI, U Texas, ISI, BBN, SRI, Mitre,\n", + " August 1990.\n", + "\n", + " The Whole Internet Catalog & User's Guide by Ed Krol. (1992)\n", + " O'Reilly and Associates, Inc.\n", + " ---\n", + " A clear, non-jargonized introduction to the intimidating business\n", + " of network literacy written in humorous style.\n", + "\n", + " Krol, E., ``The Hitchhikers Guide to the Internet'' (RFC-1118),\n", + " University of Illinois Urbana, September 1989.\n", + "\n", + " ``The User's Directory to Computer Networks'', by Tracy LaQuey.\n", + "\n", + " The Matrix: Computer Networks and Conferencing Systems Worldwide. \n", + " by John Quarterman. Digital Press: Bedford, MA. (1990) \n", + " ---\n", + " Massive and highly technical compendium detailing the\n", + " mind-boggling scope and complexity of global internetworks.\n", + "\n", + " ``!%@:: A Directory of Electronic Mail Addressing and Networks'' by\n", + " Donnalyn Frey and Rick Adams.\n", + " \n", + " The Internet Companion, by Tracy LaQuey with Jeanne C. Ryer (1992) \n", + " Addison Wesley. \n", + " ---\n", + " ``Evangelical'' etiquette guide to the Internet featuring \n", + " anecdotal tales of life-changing Internet experiences. Foreword\n", + " by Senator Al Gore.\n", + "\n", + " Zen and the Art of the Internet: A Beginner's Guide by Brendan P. \n", + " Kehoe (1992) Prentice Hall. \n", + " ---\n", + " Brief but useful Internet guide with plenty of good advice on\n", + " useful databases.\n", + "\n", + "\n", + " See also ftp.eff.com:/pub/internet-info/. (Thanks to Bruce Sterling\n", + " for contributions here.)\n", + "\n", + "\n", + " General\n", + " =======\n", + "\n", + " Cunningham, Scott and Alan L. Porter. ``Communication Networks: A\n", + " dozen ways they'll change our lives.'' The Futurist 26, 1\n", + " (January-February, 1992): 19-22.\n", + "\n", + " Brian Kahin, ed., BUILDING INFORMATION INFRASTRUCTURE (New York: \n", + " McGraw-Hill, 1992) ISBN# 0-390-03083-X\n", + " ---\n", + " Essays on information infrastructure. Policy and design issues,\n", + " research and NREN, future visions, information markets. See\n", + " table of contents in ftp.eff.org:/pub/pub-infra/1992-03.\n", + "\n", + " Shapard, Jeffrey. ``Observations on Cross-Cultural Electronic \n", + " Networking.'' Whole Earth Review (Winter) 1990: 32-35.\n", + "\n", + " Varley, Pamela. ``Electronic Democracy.'' Technology Review \n", + " (November/December, 1991): 43-51.\n", + "\n", + "______\n", + "<7.2> How Internet `anarchy' like the English language?\n", + "\n", + " According to Bruce Sterling :\n", + "\n", + " > The Internet's `anarchy' may seem strange or even unnatural, but\n", + " > it makes a certain deep and basic sense. It's rather like the \n", + " > `anarchy' of the English language. Nobody rents English, and\n", + " > nobody owns English. As an English-speaking person, it's up\n", + " > to you to learn how to speak English properly and make whatever\n", + " > use you please of it (though the government provides certain\n", + " > subsidies to help you learn to read and write a bit). \n", + " > Otherwise, everybody just sort of pitches in, and somehow the\n", + " > thing evolves on its own, and somehow turns out workable. And\n", + " > interesting. Fascinating, even. Though a lot of people earn\n", + " > their living from using and exploiting and teaching English,\n", + " > `English' as an institution is public property, a public good. \n", + " > Much the same goes for the Internet. Would English be improved\n", + " > if the `The English Language, Inc.' had a board of directors\n", + " > and a chief executive officer, or a President and a Congress? \n", + " > There'd probably be a lot fewer new words in English, and a lot\n", + " > fewer new ideas. \n", + "\n", + "\n", + "_____\n", + "<7.3> Most Wanted list\n", + "\n", + " Hopefully you have benefitted from this creation, compilation, and\n", + " condensation of information from various sources regarding privacy,\n", + " identity, and anonymity on the internet. The author is committed\n", + " to keeping this up-to-date and strengthening it, but this can only\n", + " be effective with your feedback. In particular, the following\n", + " items are sought:\n", + " \n", + " - Short summaries of RFC documents and other references listed,\n", + " esp. CPSR files.\n", + " - More data on the specific uses and penetration of RFC-931.\n", + " - Internet traffic statistics. How much is email? How much\n", + " USENET? What are the costs involved?\n", + " - Famous or obscure examples of compromised privacy\n", + " on the internet.\n", + " - FTP site for the code (NOT the code) to turn the .plan file into a\n", + " named pipe for sensing/reacting to remote `fingers'.\n", + " - Knowledge on the `promiscuous' mode of receipt or transmission \n", + " on network cards.\n", + " - Details on the infamous experiment where a scientist resubmitted \n", + " previously accepted papers to a prominent journal with new and\n", + " unknown authors that were subsequently rejected.\n", + " - X Windows, EFF, CPSR FAQhood in news.answers.\n", + " \n", + " Commerical use of this document is negotiable and is a way for the\n", + " author to recoup from a significant time investment. Email feedback\n", + " to ld231782@longs.lance.colostate.edu. Please note where you saw\n", + " this (which newsgroup, etc.).\n", + "\n", + "_____\n", + "<7.4> Change history\n", + "\n", + " 3/3/93 v2.1 (current)\n", + " \n", + " CPSR pointer, new UNIX mode examples, digital telephony act,\n", + " Steve Jackson incident, additions/ reorganization to\n", + " anonymity section, part 3. Note: v2.0 post to sci.crypt,\n", + " alt.privacy, news.answers, alt.answers, sci.answers was cancelled\n", + " by J. Kamens because of incorrect subject line.\n", + " \n", + " 2/14/93 v2.0\n", + "\n", + " Major revisions. New section for X Windows. Some email privacy\n", + " items reorganized to network security section. New sections for\n", + " email liability issues, anonymity history and responsibilities. \n", + " Split into three files. Many new sources added, particularly\n", + " from EFF and CAF in new `issues' part. `commentary' from \n", + " news.admin.policy. 21 day automated posting starts.\n", + "\n", + " 2/3/93 v1.0\n", + "\n", + " More newsgroups & FAQs added. More `Most Wanted'. Posted to\n", + " news.answers. Future monthly posting to sci.crypt, alt.privacy.\n", + "\n", + " 2/1/93 v0.3\n", + " \n", + " Formatted to 72 columns for quoting etc. `miscellaneous,'\n", + " `resources' sections added with cypherpunk servers and use\n", + " warnings. More UNIX examples (`ls' and `chmod'). Posted to\n", + " alt.privacy, comp.society.privacy.\n", + " \n", + " 1/29/93 v0.2\n", + " \n", + " `Identity' and `Privacy' sections added. `Anonymity' expanded.\n", + " Remailer addresses removed due to lack of information and\n", + " instability. Posted to sci.crypt.\n", + " \n", + " 1/25/93 v0.1\n", + " \n", + " Originally posted to the cypherpunks mailing list on 1/25/93 as a\n", + " call to organize a list of anonymous servers.\n", + " \n", + " email ld231782@longs.lance.colostate.edu for earlier versions.\n", + "\n", + "\n", + "* * *\n", + "\n", + "SEE ALSO\n", + "========\n", + "\n", + "Part 1 (previous file)\n", + "------\n", + "\n", + "<1.1> What is `identity' on the internet?\n", + "<1.2> Why is identity (un)important on the internet?\n", + "<1.3> How does my email address (not) identify me and my background?\n", + "<1.4> How can I find out more about somebody from their email address?\n", + "<1.5> Why is identification (un)stable on the internet? \n", + "<1.6> What is the future of identification on the internet?\n", + "\n", + "<2.1> What is `privacy' on the internet?\n", + "<2.2> Why is privacy (un)important on the internet?\n", + "<2.3> How (in)secure are internet networks?\n", + "<2.4> How (in)secure is my account?\n", + "<2.5> How (in)secure are my files and directories?\n", + "<2.6> How (in)secure is X Windows?\n", + "<2.7> How (in)secure is my email?\n", + "<2.8> How am I (not) liable for my email and postings?\n", + "<2.9> How do I provide more/less information to others on my identity?\n", + "<2.10> Who is my sysadmin? What does s/he know about me?\n", + "<2.11> Why is privacy (un)stable on the internet?\n", + "<2.12> What is the future of privacy on the internet?\n", + "\n", + "<3.1> What is `anonymity' on the internet?\n", + "<3.2> Why is `anonymity' (un)important on the internet?\n", + "<3.3> How can anonymity be protected on the internet?\n", + "<3.4> What is `anonymous mail'?\n", + "<3.5> What is `anonymous posting'?\n", + "<3.6> Why is anonymity (un)stable on the internet?\n", + "<3.7> What is the future of anonymity on the internet?\n", + "\n", + "Part 3 (next file)\n", + "------\n", + "\n", + "<8.1> What are some known anonymous remailing and posting sites?\n", + "<8.2> What are the responsibilities associated with anonymity?\n", + "<8.3> How do I `kill' anonymous postings?\n", + "<8.4> What is the history behind anonymous posting servers?\n", + "<8.5> What is the value of anonymity?\n", + "<8.6> Should anonymous posting to all groups be allowed?\n", + "<8.7> What should system operators do with anonymous postings?\n", + "<8.8> What is going on with anon.penet.fi maintained by J. Helsingius?\n", + "\n", + "\n", + "* * *\n", + "-----------\n", + "\n", + "Document: 6509, Score: 0.48978003437611595\n", + "-----------\n", + "\n", + "\n", + " Simple -- if you have a choice between:\n", + "\n", + " 1. American manufacturers peddling Cripple Chips with a secret untested\n", + " algorithm whose keys are held by people with a history of untrustworthy\n", + " behavoir, or\n", + "\n", + " 2. Japanese (to pick the obvious example) manufacturers peddling encryption\n", + " chips with an algorithm that has faced public scrutiny and keys under\n", + " the control of the user,\n", + "-----------\n", + "\n", + "Document: 1258, Score: 0.4894352065786614\n", + "-----------\n", + "What is the status of cruptology for private citizens throughout the\n", + "world? or, more clearly, is there a listing of countries and their\n", + "policies on citizens encrypting electronic data? \n", + "\n", + "I'm curious how the Europeans handle this, for instance.\n", + "-----------\n", + "\n" + ] + } + ], + "source": [ + "documents, document_scores, document_ids = model.search_documents_by_keywords(keywords=[\"cryptography\", \"privacy\"], num_docs=5)\n", + "for doc, score, doc_id in zip(documents, document_scores, document_ids):\n", + " print(f\"Document: {doc_id}, Score: {score}\")\n", + " print(\"-----------\")\n", + " print(doc)\n", + " print(\"-----------\")\n", + " print()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Search Documents by Topic" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
document_idsdocumentsdocument_scores
02104Archive-name: cryptography-faq/part06\\nLast-mo...0.750314
16950Archive-name: cryptography-faq/part10\\nLast-mo...0.740330
2853Archive-name: cryptography-faq/part09\\nLast-mo...0.735426
31954Archive-name: cryptography-faq/part03\\nLast-mo...0.733275
47007.................................................0.722942
\n", + "
" + ], + "text/plain": [ + " document_ids documents \\\n", + "0 2104 Archive-name: cryptography-faq/part06\\nLast-mo... \n", + "1 6950 Archive-name: cryptography-faq/part10\\nLast-mo... \n", + "2 853 Archive-name: cryptography-faq/part09\\nLast-mo... \n", + "3 1954 Archive-name: cryptography-faq/part03\\nLast-mo... \n", + "4 7007 ................................................. \n", + "\n", + " document_scores \n", + "0 0.750314 \n", + "1 0.740330 \n", + "2 0.735426 \n", + "3 0.733275 \n", + "4 0.722942 " + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "documents, document_scores, document_ids = model.search_documents_by_topic(topic_num=48, num_docs=5)\n", + "pd.DataFrame({'document_ids':document_ids, 'documents':documents, 'document_scores':document_scores}).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Search Documents by Documents" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "method" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(model.embed)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "model._check_model_status()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "search_text = 'This is about electronic mail'\n", + "vector = model.embed([search_text])" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(384,)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vector.flatten().shape" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
document_idsdocumentsdocument_scores
03383\\nEd, as usual, makes a very good point.\\n\\nOn...0.556424
14633--- Received from EEI.EEIIHY 353-1-2800455 ...0.532769
22485Please satisfy my curiosity. I'm interested in...0.520099
37204\\n\\nGood question. I also wanted to find out a...0.515784
47014\\nI know you said E-mail preferred but because...0.513503
\n", + "
" + ], + "text/plain": [ + " document_ids documents \\\n", + "0 3383 \\nEd, as usual, makes a very good point.\\n\\nOn... \n", + "1 4633 --- Received from EEI.EEIIHY 353-1-2800455 ... \n", + "2 2485 Please satisfy my curiosity. I'm interested in... \n", + "3 7204 \\n\\nGood question. I also wanted to find out a... \n", + "4 7014 \\nI know you said E-mail preferred but because... \n", + "\n", + " document_scores \n", + "0 0.556424 \n", + "1 0.532769 \n", + "2 0.520099 \n", + "3 0.515784 \n", + "4 0.513503 " + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "documents, document_scores, document_ids = model.search_documents_by_vector(vector.flatten(), num_docs=5)\n", + "pd.DataFrame({'document_ids':document_ids, 'documents':documents, 'document_scores':document_scores}).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Search Documents by Keyword" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
document_idsdocumentsdocument_scores
06935Note: The following was released by the Wh...0.529961
17007.................................................0.509190
24682Archive-name: net-privacy/part2\\nLast-modified...0.491791
36509\\n\\n Simple -- if you have a choice between:\\...0.489780
41258What is the status of cruptology for private c...0.489435
\n", + "
" + ], + "text/plain": [ + " document_ids documents \\\n", + "0 6935 Note: The following was released by the Wh... \n", + "1 7007 ................................................. \n", + "2 4682 Archive-name: net-privacy/part2\\nLast-modified... \n", + "3 6509 \\n\\n Simple -- if you have a choice between:\\... \n", + "4 1258 What is the status of cruptology for private c... \n", + "\n", + " document_scores \n", + "0 0.529961 \n", + "1 0.509190 \n", + "2 0.491791 \n", + "3 0.489780 \n", + "4 0.489435 " + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "documents, document_scores, document_ids = model.search_documents_by_keywords(keywords=[\"cryptography\", \"privacy\"], num_docs=5)\n", + "pd.DataFrame({'document_ids':document_ids, 'documents':documents, 'document_scores':document_scores}).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Similar Keywords" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
word_scoreswords
00.628185universe
10.606741nasa
20.597259spacecraft
30.589628room
40.575512earth
\n", + "
" + ], + "text/plain": [ + " word_scores words\n", + "0 0.628185 universe\n", + "1 0.606741 nasa\n", + "2 0.597259 spacecraft\n", + "3 0.589628 room\n", + "4 0.575512 earth" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "words, word_scores = model.similar_words(keywords=[\"space\"], keywords_neg=[], num_words=20)\n", + "pd.DataFrame({'word_scores': word_scores, 'words': words}).head()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "umap_fig2 = umap.plot.points(umap_model, labels = model.doc_top_reduced, theme='fire')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Write Topics and Documents" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
xydocumentstopic_id
id
00.2125742.324136I was wondering if anyone out there could enli...1
1-1.212384-1.934929A fair number of brave souls who upgraded thei...8
2-0.254687-1.417804well folks, my mac plus finally gave up the gh...8
3-0.527214-1.236323\\nDo you have Weitek's address/phone number? ...13
41.9888412.614665From article <C5owCB.n3p@world.std.com>, by to...4
\n", + "
" + ], + "text/plain": [ + " x y documents \\\n", + "id \n", + "0 0.212574 2.324136 I was wondering if anyone out there could enli... \n", + "1 -1.212384 -1.934929 A fair number of brave souls who upgraded thei... \n", + "2 -0.254687 -1.417804 well folks, my mac plus finally gave up the gh... \n", + "3 -0.527214 -1.236323 \\nDo you have Weitek's address/phone number? ... \n", + "4 1.988841 2.614665 From article , by to... \n", + "\n", + " topic_id \n", + "id \n", + "0 1 \n", + "1 8 \n", + "2 8 \n", + "3 13 \n", + "4 4 " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_df = pd.DataFrame(umap_model.embedding_, columns=['x', 'y'])\n", + "data_df['documents'] = model.documents\n", + "data_df['topic_id'] = model.doc_top_reduced\n", + "# data_df['topics_str'] = df.topics.apply(lambda x: f'{x:02d}')\n", + "data_df.index.name = 'id'\n", + "# del data_df['topics']\n", + "data_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "data_df.to_csv(proj_dir/'data'/'data.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
topic_counttopic_0topic_1topic_2topic_3topic_4topic_5topic_6topic_7topic_8...weight_0weight_1weight_2weight_3weight_4weight_5weight_6weight_7weight_8weight_9
82hardwaremotherboardprocessorramintelmhzcmosvramspecs...0.5853250.5715960.5400330.5117100.4682070.4676100.4641980.4509950.4404550.417700
11vehiclesvehiclemotorcycleshondamotorcyclebmwdealerscarscar...0.5779400.5621600.5595240.5287630.5101320.4945570.4768600.4745690.4716850.439867
131modemmhzanalogaudioelectronicsradiosignalhardwaredsl...0.4977690.4420740.4412860.4376060.4355660.4251080.4154350.4073290.3989330.396407
41diskmotherboarddisksworkstationhardwarefloppyosdriversdrives...0.4402440.4014220.3953870.3878780.3867700.3694090.3655500.3610310.3545600.349896
\n", + "

4 rows × 21 columns

\n", + "
" + ], + "text/plain": [ + " topic_count topic_0 topic_1 topic_2 topic_3 topic_4 \\\n", + "8 2 hardware motherboard processor ram intel \n", + "1 1 vehicles vehicle motorcycles honda motorcycle \n", + "13 1 modem mhz analog audio electronics \n", + "4 1 disk motherboard disks workstation hardware \n", + "\n", + " topic_5 topic_6 topic_7 topic_8 ... weight_0 weight_1 weight_2 \\\n", + "8 mhz cmos vram specs ... 0.585325 0.571596 0.540033 \n", + "1 bmw dealers cars car ... 0.577940 0.562160 0.559524 \n", + "13 radio signal hardware dsl ... 0.497769 0.442074 0.441286 \n", + "4 floppy os drivers drives ... 0.440244 0.401422 0.395387 \n", + "\n", + " weight_3 weight_4 weight_5 weight_6 weight_7 weight_8 weight_9 \n", + "8 0.511710 0.468207 0.467610 0.464198 0.450995 0.440455 0.417700 \n", + "1 0.528763 0.510132 0.494557 0.476860 0.474569 0.471685 0.439867 \n", + "13 0.437606 0.435566 0.425108 0.415435 0.407329 0.398933 0.396407 \n", + "4 0.387878 0.386770 0.369409 0.365550 0.361031 0.354560 0.349896 \n", + "\n", + "[4 rows x 21 columns]" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_df.head(5).topic_id.value_counts().to_frame().merge(topics_df, left_index=True, right_on='topic_id').drop(['topic_id', 'topic_id_y'], axis=1).rename({'topic_id_x':'topic_count'}, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Topics" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "20" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "20" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(model.topic_word_scores_reduced)\n", + "len(model.topic_words_reduced)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "import plotly.graph_objects as go" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ + { + "orientation": "h", + "type": "bar", + "x": [ + 0.28763219714164734, + 0.28805065155029297, + 0.2884587049484253, + 0.2898908257484436, + 0.2911642789840698, + 0.2921133041381836, + 0.2958294749259949, + 0.29793375730514526, + 0.2981671392917633, + 0.2982930839061737, + 0.29938769340515137, + 0.3006351590156555, + 0.3063204288482666, + 0.3073524236679077, + 0.30795323848724365, + 0.3133659362792969, + 0.3137437701225281, + 0.3207355737686157, + 0.3212062120437622, + 0.3221234977245331, + 0.3277387022972107, + 0.33705809712409973, + 0.33720922470092773, + 0.3377801775932312, + 0.3388635516166687, + 0.3440244197845459, + 0.3461213707923889, + 0.3526267409324646, + 0.35724127292633057, + 0.35904043912887573, + 0.36230432987213135, + 0.36275458335876465, + 0.3733440637588501, + 0.37475481629371643, + 0.3807852864265442, + 0.38156241178512573, + 0.39166438579559326, + 0.41923704743385315, + 0.4244045317173004, + 0.43211829662323, + 0.438310444355011, + 0.44887423515319824, + 0.45370686054229736, + 0.45767760276794434, + 0.46538394689559937, + 0.46638888120651245, + 0.4775274991989136, + 0.4960426390171051, + 0.5173805952072144, + 0.5941709280014038 + ], + "y": [ + "behavior", + "paradox", + "behaviour", + "justify", + "assumptions", + "bible", + "doctrine", + "worship", + "believe", + "argument", + "argue", + "discussions", + "conclusions", + "spiritual", + "concept", + "creation", + "interpretation", + "discussion", + "scripture", + "reasoning", + "christian", + "moral", + "believing", + "believed", + "arguing", + "judgement", + "biblical", + "debate", + "homosexuality", + "believes", + "immoral", + "notion", + "faith", + "fallacy", + "philosophy", + "ignorance", + "christians", + "teachings", + "skepticism", + "religion", + "christianity", + "religions", + "atheists", + "morality", + "secular", + "religious", + "atheist", + "belief", + "beliefs", + "atheism" + ] + } + ], + "layout": { + "template": { + "data": { + "bar": [ + { + "error_x": { + "color": "#2a3f5f" + }, + "error_y": { + "color": "#2a3f5f" + }, + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "bar" + } + ], + "barpolar": [ + { + "marker": { + "line": { + "color": "#E5ECF6", + "width": 0.5 + }, + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "barpolar" + } + ], + "carpet": [ + { + "aaxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "baxis": { + "endlinecolor": "#2a3f5f", + "gridcolor": "white", + "linecolor": "white", + "minorgridcolor": "white", + "startlinecolor": "#2a3f5f" + }, + "type": "carpet" + } + ], + "choropleth": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "choropleth" + } + ], + "contour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "contour" + } + ], + "contourcarpet": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "contourcarpet" + } + ], + "heatmap": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmap" + } + ], + "heatmapgl": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "heatmapgl" + } + ], + "histogram": [ + { + "marker": { + "pattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + } + }, + "type": "histogram" + } + ], + "histogram2d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2d" + } + ], + "histogram2dcontour": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "histogram2dcontour" + } + ], + "mesh3d": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "type": "mesh3d" + } + ], + "parcoords": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "parcoords" + } + ], + "pie": [ + { + "automargin": true, + "type": "pie" + } + ], + "scatter": [ + { + "fillpattern": { + "fillmode": "overlay", + "size": 10, + "solidity": 0.2 + }, + "type": "scatter" + } + ], + "scatter3d": [ + { + "line": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatter3d" + } + ], + "scattercarpet": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattercarpet" + } + ], + "scattergeo": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergeo" + } + ], + "scattergl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattergl" + } + ], + "scattermapbox": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scattermapbox" + } + ], + "scatterpolar": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolar" + } + ], + "scatterpolargl": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterpolargl" + } + ], + "scatterternary": [ + { + "marker": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "type": "scatterternary" + } + ], + "surface": [ + { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + }, + "colorscale": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "type": "surface" + } + ], + "table": [ + { + "cells": { + "fill": { + "color": "#EBF0F8" + }, + "line": { + "color": "white" + } + }, + "header": { + "fill": { + "color": "#C8D4E3" + }, + "line": { + "color": "white" + } + }, + "type": "table" + } + ] + }, + "layout": { + "annotationdefaults": { + "arrowcolor": "#2a3f5f", + "arrowhead": 0, + "arrowwidth": 1 + }, + "autotypenumbers": "strict", + "coloraxis": { + "colorbar": { + "outlinewidth": 0, + "ticks": "" + } + }, + "colorscale": { + "diverging": [ + [ + 0, + "#8e0152" + ], + [ + 0.1, + "#c51b7d" + ], + [ + 0.2, + "#de77ae" + ], + [ + 0.3, + "#f1b6da" + ], + [ + 0.4, + "#fde0ef" + ], + [ + 0.5, + "#f7f7f7" + ], + [ + 0.6, + "#e6f5d0" + ], + [ + 0.7, + "#b8e186" + ], + [ + 0.8, + "#7fbc41" + ], + [ + 0.9, + "#4d9221" + ], + [ + 1, + "#276419" + ] + ], + "sequential": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ], + "sequentialminus": [ + [ + 0, + "#0d0887" + ], + [ + 0.1111111111111111, + "#46039f" + ], + [ + 0.2222222222222222, + "#7201a8" + ], + [ + 0.3333333333333333, + "#9c179e" + ], + [ + 0.4444444444444444, + "#bd3786" + ], + [ + 0.5555555555555556, + "#d8576b" + ], + [ + 0.6666666666666666, + "#ed7953" + ], + [ + 0.7777777777777778, + "#fb9f3a" + ], + [ + 0.8888888888888888, + "#fdca26" + ], + [ + 1, + "#f0f921" + ] + ] + }, + "colorway": [ + "#636efa", + "#EF553B", + "#00cc96", + "#ab63fa", + "#FFA15A", + "#19d3f3", + "#FF6692", + "#B6E880", + "#FF97FF", + "#FECB52" + ], + "font": { + "color": "#2a3f5f" + }, + "geo": { + "bgcolor": "white", + "lakecolor": "white", + "landcolor": "#E5ECF6", + "showlakes": true, + "showland": true, + "subunitcolor": "white" + }, + "hoverlabel": { + "align": "left" + }, + "hovermode": "closest", + "mapbox": { + "style": "light" + }, + "paper_bgcolor": "white", + "plot_bgcolor": "#E5ECF6", + "polar": { + "angularaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "radialaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "scene": { + "xaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "yaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + }, + "zaxis": { + "backgroundcolor": "#E5ECF6", + "gridcolor": "white", + "gridwidth": 2, + "linecolor": "white", + "showbackground": true, + "ticks": "", + "zerolinecolor": "white" + } + }, + "shapedefaults": { + "line": { + "color": "#2a3f5f" + } + }, + "ternary": { + "aaxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "baxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + }, + "bgcolor": "#E5ECF6", + "caxis": { + "gridcolor": "white", + "linecolor": "white", + "ticks": "" + } + }, + "title": { + "x": 0.05 + }, + "xaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + }, + "yaxis": { + "automargin": true, + "gridcolor": "white", + "linecolor": "white", + "ticks": "", + "title": { + "standoff": 15 + }, + "zerolinecolor": "white", + "zerolinewidth": 2 + } + } + } + } + }, + "text/html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "topic_num = 5\n", + "fig = go.Figure(go.Bar(\n", + " x=model.topic_word_scores_reduced[topic_num][::-1],\n", + " y=model.topic_words_reduced[topic_num][::-1],\n", + " orientation='h'))\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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" + }, + "vscode": { + "interpreter": { + "hash": "e6f731632130c463987b9a38f3ffd8e0d08db749d703d93593f23dc4932f1386" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}