{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Datascience project\n", "\n", "## Voorwoord\n", "\n", "Jammer genoeg heb ik niet zoveel tijd kunnen steken in deze opgave als ik wou. Dit komt namelijk omdat ik de opdracht niet goed gelezen had en de opgave verkeerd gemaakt heb voor meerendeels van de tijd die ik hierin gestoken heb. Aan de onderkant van dit project kan men de andere opdracht (voorspellen van signaal sterkte op een bepaalde plek voor een bepaalde router) vinden.\n", "\n", "## Inlezen van de data\n", "\n", "Er wordt begonnen met het inlezen van de data als een array van de lijnen.\n", "De lijnen zullen meerdere keren gesplit moeten worden om zo een uiteindelijke dataset te krijgen." ] }, { "cell_type": "code", "execution_count": 258, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Time=12/03 06:08:53& Sender=44:6E:E5:C5:8F:4F& Location=gang@0.61875;0.13758& WifiInfo=ODISEE@88-1d-fc-30-d4-40:-74,campusroam@88-1d-fc-30-d4-43:-74,ODISEE@88-1d-fc-30-d5-50:-72,eduroam@88-1d-fc-30-d4-42:-74,eduroam@88-1d-fc-30-d5-52:-72,campusroam@88-1d-fc-30-d5-53:-73,ODISEEGuest@88-1d-fc-30-d4-41:-75,ODISEEGuest@88-1d-fc-30-d5-51:-73,CiscoC5976@58-6d-8f-19-14-38:-82,rechts@58-6d-8f-19-10-fc:-59,ODISEE@88-1d-fc-41-dc-50:-81,eduroam@88-1d-fc-41-dc-52:-81,campusroam@88-1d-fc-41-dc-53:-67,eduroam@88-1d-fc-2c-c0-02:-78,campusroam@88-1d-fc-2c-c0-03:-71,ODISEE@88-1d-fc-2c-c0-00:-77,telenet-5467D@dc-53-7c-85-46-82:-87,ODISEEGuest@88-1d-fc-41-dc-51:-80,ODISEEGuest@88-1d-fc-2c-c0-01:-73,CiscoC5959@58-6d-8f-19-13-f4:-81,TELENETHOMESPOT@02-53-7c-85-46-83:-86\n", "\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import numpy as np\n", "lines = []\n", "\n", "with open(\"DataScienceData01.txt\",\"r\") as infile:\n", " lines = infile.readlines()\n", "if True:\n", " with open(\"DataScienceData02.txt\", \"r\") as infile:\n", " lines.extend(infile.readlines())\n", " \n", "\n", "if True:\n", " with open(\"DataScienceData03.txt\", \"r\") as infile:\n", " lines.extend(infile.readlines())\n", "\n", "print(lines[1])\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Dit gebeurt door het gebruik van de dataParse functie:\n", "\n", "Deze zal de data splitten en parsen naar dictionary objecten. Vorm in json:\n", "```json\n", "[\n", " {\n", " sender = '',\n", " location = '',\n", " time = '',\n", " x = '',\n", " y = '',\n", " px = '',\n", " py = '',\n", " xmax = '',\n", " ymax = '',\n", " WifiInfo= [\n", " {\n", " ssid = '',\n", " mac = '',\n", " routerid = '',\n", " signal = ''\n", " },\n", " ...\n", " ]\n", " },\n", " ...\n", "]\n", "```\n", "Die worden daarna in een dataframe gestoken." ] }, { "cell_type": "code", "execution_count": 299, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Sender Time \\\n", "0 44:6E:E5:C5:8F:4F 1900-03-12 06:08:41 \n", "1 44:6E:E5:C5:8F:4F 1900-03-12 06:08:53 \n", "2 44:6E:E5:C5:8F:4F 1900-03-12 06:09:03 \n", "3 44:6E:E5:C5:8F:4F 1900-03-12 06:09:17 \n", "4 44:6E:E5:C5:8F:4F 1900-03-12 06:09:41 \n", "\n", " WifiInfo location px \\\n", "0 [{'ssid': 'rechts', 'mac': '58-6d-8f-19-10-fc'... gang 0.65625 \n", "1 [{'ssid': 'rechts', 'mac': '58-6d-8f-19-10-fc'... gang 0.61875 \n", "2 [{'ssid': 'rechts', 'mac': '58-6d-8f-19-10-fc'... gang 0.26250 \n", "3 [{'ssid': 'rechts', 'mac': '58-6d-8f-19-10-fc'... gang 0.63333 \n", "4 [{'ssid': 'rechts', 'mac': '58-6d-8f-19-10-fc'... gang 0.63958 \n", "\n", " py x xmax y ymax \n", "0 0.04449 186.37500 284 49.51737 1113 \n", "1 0.13758 175.72500 284 153.12654 1113 \n", "2 0.13826 74.55000 284 153.88338 1113 \n", "3 0.31006 179.86572 284 345.09678 1113 \n", "4 0.49555 181.64072 284 551.54715 1113 \n" ] } ], "source": [ "from datetime import datetime\n", "wifiSignals = []\n", "\n", "def dataParse2(l):\n", " objs = l.split(\"& \")\n", " dic = {}\n", " for obj in objs:\n", " items = obj.split(\"=\")\n", " title = items[0]\n", " data = items[1].split(\",\")\n", " if len(data) == 1:\n", " data = data[0]\n", " if title == \"Time\":\n", " dic[title] = datetime.strptime(data, \"%d/%m %H:%M:%S\")\n", " continue\n", " if title == \"Location\":\n", " temp = data.split(\"@\")\n", " naam = temp[0].lower()\n", " x, y = temp[1].split(\";\")\n", " dic[\"location\"] = naam\n", " img = plt.imread(naam+'.png')\n", " height, width, channels = img.shape\n", " dic[\"x\"] = float(x) * width\n", " dic[\"y\"] = float(y) * height\n", " dic[\"px\"] = float(x)\n", " dic[\"py\"] = float(y)\n", " dic[\"xmax\"] = width\n", " dic[\"ymax\"] = height\n", " continue\n", " if title == \"WifiInfo\":\n", " appendable = []\n", " for f in data:\n", " append = {}\n", " temp = f.replace(\"\\n\",'').split('@')\n", " ti = temp[0]\n", " append[\"ssid\"] = ti\n", " temp = temp[1].split(\":\")\n", " append[\"mac\"] = temp[0]\n", " append[\"routerId\"] = \"\".join(temp[0].split('-'))\n", " append[\"routerId\"] = append[\"routerId\"][:-2]\n", " if append[\"routerId\"] not in wifiSignals:\n", " wifiSignals.append(append[\"routerId\"])\n", " append[\"signal\"] = float(temp[1])\n", " appendable.append(append)\n", " dic[title] = sorted(appendable, key=lambda k: k[\"signal\"], reverse=True)\n", " continue\n", " dic[title] = data\n", " return dic\n", "\n", "\n", "data = []\n", "for l in lines:\n", " data.append(dataParse2(l))\n", "\n", "\n", "\n", "\n", "d = pd.DataFrame(data)\n", "print(d.head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Selectie van de data\n", "\n", "Nadat de data ingelezen wordt is het een goed idee om het in beeld te brengen zodat we een idee hebben van met wat we gaan werken.\n" ] }, { "cell_type": "code", "execution_count": 260, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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+1e1VULZsWa5cucK781pRsXYJJr+yU3P4QD1LkU62sG5qvNl/UwuXLl1yWXG6du1qDpqklTZt2gBwPAoa3Buux+3UyRlsWbPbqfq3bt3i999/B+DRRx91iwyVKhmGwPHx8aSnO+82dv/+fcAwr7NMKZcd6MqnoxmTy5YaZs+eTfHixVWnQ3OW0NBQ8ufP73Royfh4bQF23YGufHmQ1TEJNB+/lSqRG2g+fqvm1NiWYf5skZaWxp49e+jXr5+mezhLREQEv/32G/fuqfNgOX78uIclso2ufHkMU1rohKRkJJCQlMzolX9rUsCFCxfaPb9s2TL8/Pxo3LixRmm10aJFCwoXLsxPPzm2Vr744osu308IYV7ScCbkYK6ydq6OSWBC1BEuJCVTPjCAke1q+UT6L1+i+fitJChk4q0QGMDOyGedutaFCxcoX768VVlSUhLbt2+nS5cudtsOHDjQ7g912rRpVtZOR/U/+OADgoODFc8tX76c7t2725XHFRTkyhtZikyYnujJqYZJt+mJDugKaIE7U2OXL1+ea9euUbq0YZd3cnIygYGBDhUPYNy4cQQFBTmsZ6Jfv352e9DVq1fbVD6T4i1YsIDevd0fCl6p41BDrhl2Tog6YlY8E8mp6UyIOuIliXwTd6fGrlGjBg8ePODEiRMEBHgvvbYaevfuzdy5c83Hn37qXncxZ8k1yufOJ3puxt2psa9fv86bb75pNwy8L9G3b18ANmzYwLvvvutVWXKN8rn7iZ5b8URq7HHjxnH58mX3CZkN9O3bV3V4ek+Ra+Z8I9vVsprzgWtP9NxMRP0Kbp0HV6xYke3bt9vMw+BrLFmyhMTERMcVPUyuUT7Tj0m3dmYfma3Lh4a25XrsJlVt//rrL6t0XpmxDPkOEBMTYzeHn+VGWXsIIax2tHuTXLXUoJN9ZLYug2Gk8XTBsxS8dIDvvvvO9Zs4cKx2hlu3bvHcc8+xa5drOzCUWL/eei9j586ddcdqHc9hy7r8j191vvvuO6pUqcLatWu9JJ01BQsWBPCI4rlCrhl26mQvjqzLp06d4tSpU/Ts2ZPSpUvz5ptvEhYWli2ynTlzhj/++IPp06fz6quvkpKS4tH7derUSVM7fdipowlbnjLFCt9mQJclbrnHkLDVTNUYuDcz74Stzrbfk76fT8ej2FovbFFPXcyX3IizqaTVJEqpKITYJoQ4JISIF0IMNZbrednzMLbWC2uHqI94ltdRM+dLA/5PSrlfCFEM2CeE2Ay8hiEv+3ghRCSGvOzvYZ2X/UkMedmf9ITwOt5Fab1wapyXhMmBqMlSdFFKud/4/jZwCEOqZz0vu46OCzg15xNChAD1gV24IS+7jucZfPg+/v6jISPvzsV8FdVLDUKIosAKYJiU8padyaWqvOxCiAFA1gTd2YwQQnMqrOxmSL1VTrf5/rFCfJ/6BUEjN5E4wQNC6WhGVc8nhPDHoHgLpJSmmN8u5WWXUs6QUjZSY5LV0Ua9cX+Z3ydOaOtFSXSUUGPtFMBs4JCU0jIDhp6X3ceJ+7gp/fy7Icr3Y3yQ4w2uOtmLmmFnc+DfwN9CiFhj2fsY8rAvNeZoPwv0MJ7bCHTAkJf9HtDXrRLrOMW4BecYZzUF1/EVHCqflPJ3lOdxAK0V6ktgsIty6biJY93/wjTA0a1evoXu4ZLLSb8Lz+QXLDt639ui6GRCd6zO5bTvMIVPzqXw2be/8/1XzkUn08I7Yc4FrbXHEDdfz9fQlS+Xk/qbIVPrGJPipS17eNKvh0IL13Cr87Ix8UhuRVe+XE7aLkNSSL8nDckpQ1c1NZ+LN+qeHu/UO+jKl8vxe9I6KWV8j4pWx3q8U++hG1xyOSmU5SIPY6V8VagZXxVqZj7W4516D73ny+V8Y1S0Uff/AKBa9/1W5/V4p95DVz5yjkVtiAbbg0npTHT7+Rxwy3xcPjBAcUe6Hu/U8+T5YaeUEikl6enpjB07loULF5rLvPG6evUq06dPN4fRsHxp4c6uXlgqWxrnSOMmYOgB3R3BWkc9eV75AMLCwjh06BAff/wxL7/8st26lkrgbPxHy7a2lMkUbGjt2rX06dOHHTt2OHWPzCTE7qdQ383m43QakE4DUjAEGPBEBGsddeT5AEqHDh3C39+f6tWrO6w7a9Ysrl+/TtWqVYmNjaVWrVoUL16cDRs20Lp16yy53iZOnEiBAgUICgpi586dPP744xQrVoxLly5x7949PvjgA4f37NWrFz169OCFF17Q9P9dASxD034ZVoJv4weRkPqFputlK26M25kdCOO6pNoASnla+erUqcPq1aupWbOmqvpRUVG0a9dO8dygQYP44YcfrMquXr1KmTJlFOvv37+fBg3UhbeRUrJ06VK3JHK8sKkj5dt+CrgvtM7UOG0PBke4M3oZeD6CmbPKl2eHna+99hpxcXGqFe/BgwdcuXLF5vnnnnvO6lhKaTe8uTN5DYQQvPjii/z++++q25gY/M9N2glB+ZmHASjfdoN5yKnjXfKk8kkp6dGjB/7+/qrbFChQgCZNmtg8HxsbazUHFEKQlJRks358fLzqe5sYPXo0N27ccKpNkXovcWnpaaoNmmcuK+j0nXU8QZ5Uvi5dumRJxOEIKSUXL9reExwQEJAlbmO5crbjRvn5Ob/Ks3nzZt5++231DTK28FXqL8T1qMxv5jleCpDChZ36Nktvk+eULyoqimrVqlGqVCliYmLsKpQlqampHDhwwOb5mjVrZlG+O3fu2KxfpUoVdQIbWb9+PQUKFGDMmDE8ePBAXaN8rSFji8G/M2MLAMvSCrIsrSA7n5zroLGOp8lzi+wDBw7kyBGD61T9+vUBQ/qp0NBQChQoYLNdgQIFqFWrFvPnz+eJJ54gICCAkydP8thjj5GamqpoLb19+zYffPABXbp0oXjx4vz66680btyYM2fOULlyZYcKKKXkt99+o2HDhuZ8ADVq1OD7779n8GB1+5Wv5Huask+25goplAV65Llv3HfJc1/Fyy+/nEXJ6tevz/79+6lSpQolS5a02bZtW+sgRLVq2V+Ifuyxx/jss8+sjgGefFJdDOEdO3bQqlWrLOVRUVGqla+r/xje7f4DUxe/zDY5XVUbnewhzw07bf1oGzRoQIkSJdi3b59dq2Z2YEplpaR4YJhfqqVP96l0XXSTApx3i2w67iNPKd9ff/1FhQq2PTfy5ctHw4YNKVu2LDExMaSnp9us6wn27t1Lenq6w55xwIAB5vWqyqGl7NZ9Y9EdtgyvyNwo76/n6liTJ5Rv4QqDcaFJkybcvXtXVZv69etz69YtYmJiPJ7f7cSJEyQmJtKoUSPy58/vsH7x4sURQiCEYMTCVkyNe4HgGsqL+QCtJ52jfNsN7hRZxw3keuWr9FhprlU3ZEhNTU2lSJEiqtuWLFmS+vXrEx8fz/Xr1z0i39GjR6lWrRpBQUGOKxsx+XtO3NXZXPbe8hZUDi3F6dOn3S2ijofItcrXqXdLpsa9wMglLQFo3rWa6mWFzDRo0IBSpUqxb98+Ll++7Bb5Dhw4QEpKimoPG0uqVatGxZql8S9o3UuOWNiKdTffpd4zD4fWPXfd4ZlNV12WV8f95Drlq9usKh+tfY52o0pblb/0SV2SkpL4888/NV+7YcOGPPLII8TExNh1HbPH0qVLSU5Opm7duuZc4c6yefNmRi1rafP8G1OaMDXuBZ7r+xhrW/3A0Y4TNd1Hx7PkGsfqhSvmcq7scgqXsL1WdzL2OlFfXiE+Pt5mFlEpJatWrSIoKIhmzZqRL5/y8ykpKYlTp05Ru3ZtChUqZFe2lJQUEhISCAwMpFQpZQPJP//8Q0xMDDVq1LDrxgbQuk8tIobXsVvHkik9t3DiyC3HFV0kJSWFLl260Lp1a/7v//7P5menGg27Gm7evMmAAQMQQrB48WLX7u8kedKxunIdw7zOnuIBVA0rRYcOHez2WmvXrqVNmzY8/fTTnDhxwma9wMBA83zw2rVrdu97+PBhKlSoYFPxADZs2EDv3r25e/cuP//8s816N27ccErxAIYtbU3d8GBiY2MdV9bIzp07+eyzz/jf//7HyJEjXVc8jZQoUYIlS5awePFiunfvrtrA5g1ydM/X6ZXmtBup3lABELflAkdWFeC3336zKv/uu++y+E0uW7aMjh07UrhwYYfXjYmJoVy5cjz66KOAwbizYcMGOnfu7NCCmZCQQNmyZa0W/3fv3s2FCxeIiLDeUvNEeDkGfNM08yUccjL2OpP7bHe6nSOklIwZM4bBgwc7NBqdO3eOLVu2ULVqVYoXL050dDR169bFz8+Ps2fPUqtWLRo3bvywgRDMnjWL6tWrc/36dYQQFC5cmMTERDIyMmjVqhWVK1e2e89169YxceJEoqOj3fDf2idP7efTuo9szZR4fp171Hy8ePFiXnrpJcW6P/zwA4MGDVJ97UuXLvHgwQOKFClC6dKlHTcAtmzZQuvWWdJecPfuXSvrrCu5BDuXmExISIimtrZIS0vjk08+sfLisce4ceP4+OOPbZ7v378/M2fOfFjgYNj566+/0qZNG1X3HjFiBF9//bWqulpx+7BTCFFICLFbCBEnhIgXQow1llcRQuwSQhwTQiwRQhQwlhc0Hh83ng9x9Z+yxaZZRx1XUqDLsFA++ugj83GnTp1sKnq/fv2c2saTkpLCgQMHKFGihKr6w4YNo1mzZorndu7caXVsubTgDIln7rhd8QDGjx/P+++/r7p+amqq3fONGjmXqtEZo9f48eOZO9e3nMnVDMxTgGellPWAMKC9Me/el8BkKWUN4AbQz1i/H3BDSlkdmGys5xHWTXV+T5yJXw/+bN5vV7RoUWbPnq1Yr2DBgqxerT66WeXKlenUqZPqLUNjx45VdBdLTk6mefPm5uNy1UpkWVpQS+vijsNVOMuFCxfo1KmTU+ummYfQmXFkuMqM5efjCD8/P0qUKGF3p0l241D5pAGTxP7GlwSeBZYby+cBpk+2i/EY4/nWwk4OaVfRGvav15gwmjVrZnYhe+ONN2z6dPbt25ebN2+quu69e/dUyzBmzBibPeSMGTOsftjvr9SW5GTNlHjCw8M1tbXH0KFDCQsLc6rNnj3288Jv2bLFqett3rzZcSULunbtSmRkpFNtPInatND5jYkxE4HNwAkgSUpp6vfP8zD9WwUwZGM0nr8JZJn8CCEGCCH2CiH2uvIPuDJnbfdeWerUeWg5LFmypNVCfEZGBidPnuT27duqh5FqjDMmxowZw08//cSvv/5qVX716lWGDh1qPm7dx/mFeBOWc1t3sXLlSpYtW8b+/ftVP5TA8bCzX79+ds9nxpk9kVJKDh8+zIQJEzQ5NngCVconpUyXUoZhyK/eBKitVM34V6mXy6Ih7szJPuFFbeH1qoaV4nb6Q4+V/Pnz88UXD6N6/fe//+XBgwcUK1bMVRFt8uqrr1K8eHHmz59vLrMc5nZ55RkihodquvaOxSddlk+JBQsWAAbPn1OnTtndZGxJ8eLFSUtL48yZM1y/fp1r166RmJjIhQsXSEpK4tixY1na3Lx507ymevv2be7du8exY8dITU2lYsWKCnfJyt27d1m0aBE1atQgICDAo9+nMzht7RRCfIIh3fN7wKNSyjQhxFPAGCllOyFElPH9n0IIP+ASUFbauZE7Ftmf6/sYzw9TeiY45o/xhVi0aBEA9+/fZ86cOXTr1s2pIEcm7EUsc8SSJUu4ffs2b7zxhrlMq0XXU0sLly5dYvHixQwbNsyqPD4+nmLFilGpUiW77TMyMtSvARqtnZZtjNZEVc2Tk5PZt28fzZs3t2qTlJSEv7+/U/NVdeK639pZVggRaHwfALQBDgHbgO7Gan2ANcb3a43HGM9vtad47mLz3MOa2yb67zfP9woVKsSgQYMUFS81NZU5c+bYvVaZMmUcPjSWLFmiWP7iiy9aKV6FGoGORLdJn3rfaG5rj9mzZyvuiQwNDaVSpUrs37/frnOClsV3yzZqFe/EiRMEBATw9NNPZ2kTGBhIQkKC03LYwrTDxBn5QN2wsxywTQhxANgDbJZSrsfQ8w0XQhzHMKczmQtnA6WN5cOBbJvhah1mRfxfHdasWWO3zrFjx5g4cSK9e/fm5ElxBZ2bAAAd6UlEQVTtw7kRI0bQtm1bvvnGsXL83wLb/pv2SDxzx2ljiFo2bNhg15LboEEDAgICVA9F3c3ly5fZvXu3wyFp5hirrqA1rL8aa+cBKWV9KWVdKeXjUspxxvKTUsomUsrqUsoeUsoUY/l943F143nPTDwUWPZFnOa23y74RNEVKS0tjRkzZlC9enUiIyMpWLCgXZ/B5ORku0+/Dz/8kJIlSzJ06FCSkpJsrpOVq+JbSwsmMjIyHD7dy5cvT926dYmLi8s2JUxLS2Pp0qU88sgjNGnSxG48HsBs5W7Ttyafbmpv3vOphfXr11u91JIrfDst0br00H9KE4oXL25VtnLlSvLly2d21DXx/vvv8/fffytex95OhW+++YbAwIdDycDAQD7//HNu376dxZ/z/dW+s7RQNzyYijUNBmtHTt+W1KtXj7p16/LPP/9w5swZt8pkIjU1lYMHD+Ln50fPnj1Vt7t16xbR0dF0GRZK4CMBXKu+lh6j6zF+8liPyKlErlM+KSWzhu3W1PadOU8zbtw48/GePXtsmsevXbtmjoJmia3QEydPnrTppvbgwQNeeeUV8/FTESFOSP2QLZvLkFxrOlUiN9B8/FZWx7g2r6nbvApT416g/zeNzVuYMnvdqKFOnTpUrlyZ/fv3c/z4cZdksuTgwYP4+/vz+OOPO932woULbLll7RbX8qWqFHk2ljcmPWl2wFgdk0Dz8Vvd9plakuuUD+CbTxZoalc1rBTT500yH48bN45Vq1Yp1g0PD+fo0axraLZCTixatMhmhGzL+WbEv5+l19j6zogNwKHTVTlwpSMJSclIHqZ31vJjSUpKQghB/x+s5411m1fRvAcRDPPBIkWKuDwUvXr1Kj///LMmpTPRuXNngioXVTxXr3V5Ju7owecLNzN65d9u+UyVyJXKFx4eztophzS1Hb3yGd58800A/P39eeGFF2wqVKdOnbI8yZVcxd566y1GjBiheI2NGzfy+uuvm49bDlH+QTgiem9DMoS1cmtJ71y5Tmnmn+mr6MDd/4cwJk+erGpec+/ePcVw+eXKlaNu3bocOHCA8+edi6iWlpZGTEwMZcqUsRopmIiOjub+/fuqrnWqxAq754MqF2XR8WseTZmdK5UPXFt6OPlgu9nTpWDBgopuTCkpKezYsSNLSHilnH1dunRhxYoVWSxh9+7ds0qwUr56oGYjy71UZQ8ctemdO73SnKlxLzBikX0L64DIrnzyySc2zyckJDBmzBju3LnDkiVLSE5Wvn/dunUJDg7m0KFDnDp1yu49b9y4wd69e/Hz8zMHOlaiVq1aXLx4kaVLl9rNkxH+fAOqhtmP+gZw+57yg9BdKbNzrfIBfNVDm+fL88NqW33JnTp1MsfSBEPQWn9/f1q1apVloVbpydu+fXt69erF7t27rYaq06ZNsxqKjl7xjCZ51045RAUbaZwdpXc2zevU7ot8Y0oT9u/fr6hUn332GaVLl2bMmDEEBQXRr18/xo8fb/d6tWvXpkqVKuzfv1/Rw2Xr1q2ULFnS4Y6HwYMHU65cOapUqULPnj158OCB2XHCkv9M+IDnPwx28F8aKFZY2QnbXSmzc/R+PnusjklgQtQREpLuUazwHVrU20PtEPWrHjPe2cXeTafMc5xJkyYxaNAgpk6dysiRI222e/DggV0z99WrV4mNjaVx48akp6ebd7fXbPgoQ+Y4l7zFRMVTfaByY0av/NtqmBTgn99ultlKj5U2B5hyhtSUdJo8GMXTTz9tLtuxYwctW2a91pkzZ6hUqZKqxedLly5x7do1Tp8+TZMmTSgbFIRUsbQRHx9PiRIlCA7OqlQzZsygb9++5odc6z41VbvrHTpdlU27W5CW/vABqfSZKsiXd8JIZGZ1TIJ5ogyC2/eKsWl3Cw6drqr6GgO+fdLKmfrdd9/lwYMHdhUPHO8xK1OmDG3atKFo0aJWYSW0Kt6mWUeJiIjIkt65ZGF/Cvrl490lsTatdD9Ntz/vsYV/wfy89NrzVpZgW1bMypUrM3nyZFXXffTRR7lz5w4dO3Y0f45qlPbu3buKigeGrUQmxVu0aJFTfrK1Q07StslvFCt8GymlzZTZWhfZc2XP13z8VqPiWVOs8G0GdFF27VLi8J+JpMc+wfTp6nMcXL582WmfUHeHhjA9fNT0gm361qTLMG2O21vHYLYGp6WlcfnyZcWI4Pfv36dgwYKqXa927dpliNqtIoDS9OnTGThwoOK5+Ph4QkMf/m8frX3OpoXTHqkp6QxvstZhvTwZQCkztibEtibQtnjsqSBWRy10qo1aa5uJXv2f16R4AMejlMsnRB1RbaV7vdNoTfcGOHjmD/N7Pz8/JkyYoFivUKFCbNigPmK2Mw7P9rYHWe4PPHjwoCbFA/i/J9c5rqSBXKl8tibEtibQ9vhgdWuncqEXLercF9yov7MSGUg8c4d1C5V3Ldh6+CiV9+rWV7NP7Dtzm9G9e3fzcWRkpM3cgZYGK0eodXpOTk5WXGsFOHXqFO+88475ePY+dVmdlPDU6DDHKp89z4OR7WoR4G9tsg/wz0+LevZ3Utvi3IM9DsMDmnDmi/JUaAhbDx9b5TPf287JWG3h8I9c+YOtW7cChjnbf//7X/NncP/+fWbOnEliYiKffvqp6muq3acXEBDAwIED+eWXX6ymBpcvX7baFP3yG51VLS0osWu655Ll5Mg5n5o5jcnaeSEpmfKBAYxsV4shL9a1G+nZHg3ujCAuLs5hJLNTp06p2mH93XffIVs4FzbBxNoph+yuYzoz5zMRGxvLb0KbX+OX3bdzMv6S2cq7cuVKzp49m2XPn1qioqJo166d00Fzo6OjuXHjBikpKeZodFOmTCGj2VZND7kvu//G+WPqQ+3niTmfmjlNRP0K7Ix8llPjO7Iz8lki6lfg792295k54q0PXiQ0NJT//e9/dutlds5WIiYmhmkLvtIsS99O79k9n9nyactKZ0lYWBiJZ7QFFxq+4GnGjBljPu7atSt9+vSx3cABqtNeZyI8PJwaNWpYhYFcF/OD5tGFM4qnhRypfM7MaSwJDAzUHHKi/zeNeaV/V0JDQ+0uN9y+fdvmudTUVIKCgvhu/mcMnN5Qkxw7Fp+kV7e+DuspPXwcoXUrkn/B/Mxe+J1VmVKG3/3799O/f3+WLl1q93qO4uBs27aNjRs3Kn7Wlv6ey5cv1xyCQ6uDhjPkSOVzdk5jydnD1zT7fY5a1pKKFSsyYcIE+vbtS7du3bKs6yk9tQ8ePMi0adNISEggMTGRsD7a5hEnY6+7tGfREeHh4ZpjoX64prVVLFRLjh8/zuTJk2nQoAEzZ86kR48edh9S9sJwzJo1i2eeeYYOHTrg7+9vdy65J0PbhtnUlHTOHVU3x3eFHKl8tgwqI9vZz5FuwhW/zzZ9DabtuXPnsmLFCi5evMjnn3/Op59+yttvv83ixYuZMGECkyZNolGjRnz88cc8/vjjvPXWW4SEhDgVZiAzQ1vNc1zJRVyNhZp5qWXbtm1Ur16dd99911wmhDDnGFTClj8oGFz9TBQqVIiPPvqIa9euZVnIb9OtMcG11EWcy8yJFdrDdziDusiuPoZpCJXZoKJmaGVi06yjtH3D+RBymRekK1asaN6Nfv/+fe7cuUOpUqU4f/487777bhZlcynq9PMhmto6y+51Z2nS2X4gJCV6jQljzZo15qWZ9PR0m4rUoUMHbt68qRiS0ZaX0LJly+jRo0eW8tKlS9OtWzerslrP2d/Jbo/vv/xJc1tnyJE9H2ib01jiyhPeMvmkJYUKFaJMmTLky5dP0Z8xuEYZnwwNkZmpb2/h/BH18Tgt+eyH4axYYXBby58/P3Xr1lWsJ4SwzstggdIi+/79+21GqE5MTLTaKd+mb00ee8q5BDomNn3pmQzESuRY5XMHWkNOvDGliab0yz/PXK7pR+2pqNO2CAwM5F9BthOa2KP/t00Y8l4/89aq4OBgRo9W9qIZMWIEGzduzFKu1Fvmy5eP8uXLK15n06ZNtGjRAoAff/xRs7vcl91/s+m44AnytPLduHFDk3k98cwdTcoXHh7O6LYr2b3urFPtXHEB00p4eLjmpYehc5pz9uzD/9GeddiUUs2SzDv+L168SLVq1RTbX7t2zWpj7X9Xj3FS2od4emkhM3la+QIDA50ezm368jqfPr9Zc08UGBjI/A/3MaTeKlWWxUOLCqtaWvAEDTO0uWQVLlGAdt2fMs/dSpUqxY8//mhV58qVK0yYMIEGDRpkaZ85n2G5cuUoVqwYw4cPz5LoZNmyZeb3W7Zs0RSCA7SPglwhTysfqAs5kZqSzuGFxRhSb5VbhyXrpsbzxI2hLB6rHNPk/JGb/DBeWzwadxAREaF56eHt2U2tdrx36tSJO3fukJGRwS+//ELZsmVt9oi2glZNmjSJokWLMm3aNG7dusWxY8esdjSsPz9OsZ0avOHpleeVD2wvPaSmpPNVjx0Mb7LWYxaw8PBwdq48QQv5SZb54Ms1J9lolX24Ypha98dcs1GlTJky/P7771y6dIl//etfdts5SuX81ltvUbx4cSuD1guvhWv23zy80Du5G3TlM5LZs//8kZs0uDc8WxZbweDeNbrtSrMcnow67SxxWy5oatd/ypN8OmWU+bh9+/Y2jSaWWMY2tUf16tXN70vX1RZXZe2UQ9m2tJAZXfmMWHqO7Jqezpc9t2arhREMP7plX8QxpN6qbF1acMTXr0dpNr4Mm9vCyviiBiXXNHu06VuTeq0dK7USrjhcuIqufBbkj23OkHqr+Hma413Lnia7Fd8eWgxTJvwL5ufJ8Ccc5uaz5PBh9QqxaNEil5YWvImufBYM6qMcW1PHtVio76961uE8z5LGjRurqpeRkcE/RexnjbJFakq64tKCB5MoZ0G18hmz08YIIdYbj6sIIXYJIY4JIZYIIQoYywsaj48bz4d4RnSd7MbRViZ7XLxzxGYo/cyozXb7/fff+1xoCGdwpucbiiEvn4kvgclSyhrADcCU07cfcENKWR2YbKynkwtwJeTEwP82Yv369aqSmZhyJdojOTmZk8WXa5IFvLO0kBm1OdmDgY7ALOOxAJ4FTP/9PMAUX7yL8Rjj+dYiO/tyHY+y7Is4zSEnPpo8mKVLl1K/fn27OxfsBUW6ffs2TZs2ZcDwl30yNIQzqO35pgCjAFMs9NJAkpTS5H5+HjB5G1cAzgEYz9801rdCCDFACLFXCLFXo+w6XuLYJm29Rv9vGjP+24/YuHEjQUFBJCYmKtaztdfv7t27hIaGsmnTJgrWuKhYxxFrpxzyCYMaqEsL3QlIlFLusyxWqCpVnHtYIOUMKWUjNbEuPIUn0z/lZtYv2KF56aFA0zjKlSvH7du3uX//PqGhoQwYMMBqE7LlIvuDBw/45JNP6NWrF1euXOHs2bN0G9okRy4tZEbNfr7mwPNCiA5AIaA4hp4wUAjhZ+zdggHTSux5oCJwXgjhB5QAsm+fhkoyBxkypX8CnN6elBdpXfwD/sb5vO/+BfMTXKMM549dpVKlSsTHGzxoMjIyiI2NZenSpbRs2ZLt27fzlrF87NiHgZ2io6N5flhtTTJ/1WMHQ7R5y3kENWmhR0spg6WUIcBLwFYpZW9gG2AK2tgHMCWZW2s8xnh+q/SF2W0mnAksq5OV8PBw1kzR5nr23vIWWcry5ctHWFgYn3/+Oe3bt+ett94CDHskLcmc0FItakJDrI5JoMLAOdk2EnJlne89YLgQ4jiGOd1sY/lsoLSxfDgQ6ZqInkFrECadh7iy1aluM/V5Myzx1NKCaSTkVyIoSyJMS3uhEMJta4FOKZ+UMlpK2cn4/qSUsomUsrqUsoeUMsVYft94XN14Xptt2sO4EoRJx4ArSw+t31QXGDczQ+qtYuZQ54MfOxp82RsJWbZ1NhmKPfKsh4urQZh0DMx8b7tTu/NTU9K5uK6SYoIXtRyIPs+QeqtUh4FUs7TgjZFQnlU+LYFldbISGBhI/Br7adFMrJ1yiKoXXufzD5031Chx9vA1h/6Za6bEq1pa8MZIKEdGL3MXEfUr6MrmBtYv2GE3/db5Izf5V9DHDJkb7vZ7m/wz6zarSv9p9bKc/3WuOvPmyHa1FEPse3IklKeVT8d9NMwYzDms44oe/jORm3Gl+XnaVo/f/8Afhrln3fBg+n9jcMx2ZmnB9BB+e8Ym/EsEaQpH6Sw5IlGKKQGFRX2b53S8R+chobR9oyapKelc3VTF9eGlk4lSTCQlJVG3aTXOHnZ+I7QrvydnE6XkiJ4v84eR2fqkBaUsRvoQ1DU61u/P/LFT+eyd2YR/GO41OQIDAzUpXnaTI3o+d6MlhZaOF9DY87l2S73n8yj21nTcpXx6z6rjiDypfJ5e09H9RnMuhWu3ovn4rdny0MyT63yeXtPR/UZzJqtjEij9ryEkJCVncTHzBHlS+Tzt3aL7jeZMJkQdIZ+/tSO3Jx+aeVL5PO3dovuN5kyy+6GZJ+d84FnvFm94S+i4TvnAABIUFM1TD8082fN5Gt1vNGcysl0tMlKtM+t68qGZJ9f5dHIIXljnK1InnLBXP9Zk7dTX+XR0XODeoe3sjHzWfGyK86NGGZ3tLHy25zPRqVMnNe3dLZLqD3L9+vVZytTInJMRQmDr+7KHv78/7du3V/8j9bKHi1ZPqFzV8+XUsJ85VW5buPKg9vf3dypfgy+g1hNK6QGshhyhfO4mu3p7KSXJyckEBOTtJYacqHjg+aUHn1U+S4OLLwyNbeFoiFm4cGGfll8Lnvh/FH1h3X4X5/D00oO+1KDjcUwRv2wNw01zqyxuXbVbZa+gmfC0J5TP9Hy53UiRF3C0k8NWj2lzbtWqj1d7P5Psntqd4hPK17BhwyxluW2oltuxt5PDETbnVsXLuE0+tWT+3XnSE8onlE8L+n4538KVnRw251a3siavzE3kSOXT98t5D1sPPVcsgzZ9YbfPA/q6Re5Ro0a55TqWdOjQgfDwcDp37qypfY5UvuzYie4J+sw5yDuvPs63Px1k3uuPe1scp7H30LNnGTzt4Lo251b/cRxYV+0I6KuvvnJ4LWeJjo52qX2OVD5Prb94eih79sOFnNm+ibM/NYLXp7vtutmFrYfe2HXxio4oJsvgCypSOmiZW/nKCChzJD21zhVqM9OeFkL8LYSINSWzFEKUEkJsNuZk3yyEKGksF0KIb4052Q8IIRpo+5dsY2udJZ8Qmncd2zR3u20X8322XficrvP2sk3mPMUD2w+3G/dSSUq2XkQvWdjf4zs5cnrEAGfW+Z6RUoZZ+KxFAluMOdm38DAb0b+AGsbXAGCau4Q1obT+ApAupWaF8fwXWQi4CiQZXzkPZxaXCxfw83jvk9MjBriyyG6Zez1zTvafpIG/MCTRLOfCfbJg2i+XX6F716ow2fFFJmSUISEjkISMQLddMzux9dBTQulzc7eva06PGKBW+SSwSQixTwgxwFj2iJTyIoDxb5Cx3JyT3Yhlvna3EVG/Ahk21gK1KEx2fJGLWr/A963Ls6t/O7ddMztR2iQcGOCvWDc7FCCnZ5pSq3zNpZQNMAwpBwshWtqpqyonuxBigBBirxBi75UrV1SKYY07FSY7vsiqVc/Rpkl5It570W3XzG4i6ldgZ+SznBrfkZ2RzzLm+VCvKUDWh0EhBhRc83C4e/8fzi7pB2D4m3be4zI5gyprp5TygvFvohBiFdAEuCyEKCelvGgcViYaq5tyspuwzNduec0ZwAyARo0aaXJncWesFE+7EgF0nf2r8V3OHHYqkR2fm6P7m+4VdyeDekVbcynpPo8GFuLjOb/wXoPq3JFQ6cXZVH+mO8e3Lc8WudTgUPmEEEWAfFLK28b3bYFxPMy9Pp6sOdnfFkIsBp4EbpqGp+7G3V+8p1OGZRDIPaAoOcdDR42cvpJqrV7RfNTuu4BDc3sDEPpIWYo0fZXVK9cQ0bULDTjgZQmtUdPzPQKsMk6W/YCFUsr/CSH2AEuFEP2As0APY/2NQAfgOHAPd7ko2MBXvng15OOh4vnC+pQjcoqcJtZ//QGfZURx9egT7PjsRcbki+Tc9414Y9MepnZpQMpzbje8u4RPhJFo1KiR3Lt3r7fF8AhKiTeaj9+q6A1SITDAKn6It3GXnJZWTqd+by6EkdhxPZ2WpdRZZrUSHR1NeHi4+djZAEr6fj4vkFPWp3KKnEp4WvHcga58XiCnrE/lFDl9AS1rmLryeRBbjrc5ZX0qp8jpC2iZvuVIx2pbuDtFtKvXCw8PZ+rUqVmu5y4rrSP5XJXf28sIuZ1cZXDxNeXz9vV8JV+9Nwwu2YGrBhef6Pn27dunOGb2hR+Ojus4s80mL6HP+XR0vIRP9HxAlvDjWrfm6+jkFHxG+XR0fBVPuQLqyqejYwd7Lnauusfrcz4dHTt4MsKBz/Z8EgymZg+3yc3Xc/f9XMFst/YRedRi38WuiEvX9lnlE2hINpjD1+XcfT1fWeeDh2t9Tq/zeRlPJkvRh506OnbwpIudrnw62YKU0md6YWdQilvjrpCIPjvs1NHxFTy1YVvv+XR0vITe8+nouIDlAnyFgXOcCtisK5+Ojkb+uJDK/C0PF+D9SgQxeuXf5AsoXkpNe33Y6QL9+/fX3HZ1TALNx2+lSuQGmo/f6sacEDrZxYqjqYoL8PmLllI1QcxVyudua5qj682cOZPXXnvN6eu5KymLI/lyonUxJ3HtvvLnK/L7FVDTPlcpnzf48ccfnW6T07Pr6BgoXUjZCUCmpz1Q015XPi+Qk6OCaUEIYfXKLXSr6a+4AJ9+57qqIYyufF5AjwqWO2hW3t9qAT7tZiJfdH2CjORb19W0162dbuMBXFxP2oWT+DV8B7A97HdnjomcgOVG6dy2SdpyAV4IQcQ09fNsXfnchBAFkVLiV86xQ7MeFUwHdOVzG7el5L2tV7mUlMxtFVbGnJRjIjcwb948x5WM7NixQ1W9iRMnahUH0JXPbQwWzzBPbvO2GDo26NOnj0fquoKufG7i+yNDqC4GMmPU34QP+4p85Zp7WyQdC95++22Sk91rTf7oo48ICQnR3N4nguYKIW4DvrbIVQa46m0hLPA1eUCXyRaVpZRlHVXylZ7viJoIv9mJEGKvL8nka/KALpOr6Ot8OjpeQlc+HR0v4SvKN8PbAijgazL5mjygy+QSPmFw0dHJi/hKz6ejk+fwuvIJIdoLIY4IIY4LISKz8b5zhBCJQoiDFmWlhBCbhRDHjH9LGsuFEOJbo4wHhBANPCBPRSHENiHEISFEvBBiqDdlEkIUEkLsFkLEGeUZayyvIoTYZZRniRCigLG8oPH4uPF8iDvlySRbfiFEjBBiva/IpAlTSDdvvID8wAmgKgZP5DigTjbduyXQADhoUfYVEGl8Hwl8aXzfAfgFQyzfpsAuD8hTDmhgfF8MOArU8ZZMxusWNb73B3YZ77MUeMlYPh14y/h+EDDd+P4lYIkHv7vhwEJgvfHY6zJp+j+8enN4CoiyOB4NjM7G+4dkUr4jQDnj+3IY1h8B/gu8rFTPg7KtAZ7zBZmAwsB+4EkMC9h+mb8/IAp4yvjez1hPeECWYGAL8Cyw3viQ8KpMWl/eHnZWAM5ZHJ83lnmLR6SUFwGMf4OM5dkqp3F4VB9Db+M1mYzDu1ggEdiMYZSSJKVMU7inWR7j+ZtAaXfKY2QKMArIMB6X9gGZNOFt5VPa1uyL5tdsk1MIURRYAQyTUt7ypkxSynQpZRiG3qYJUNvOPT0ujxCiE5AopdxnWexNmVzB28p3HqhocRwMXPCSLACXhRDlAIx/E43l2SKnEMIfg+ItkFKu9AWZAKSUSUA0hjlfoBDC5JZoeU+zPMbzJQBVO7qdoDnwvBDiNLAYw9Bzipdl0oy3lW8PUMNorSqAYVK81ovyrAVM+0n6YJh3mcpfNVoYmwI3TUNBdyEMwU1mA4eklJO8LZMQoqwQItD4PgBoAxwCtgHdbchjkrM7sFUaJ1vuQko5WkoZLKUMwfBb2Sql7O1NmVzC25NODFa7oxjmEx9k430XAReBVAxPyH4Y5gNbgGPGv6WMdQXwvVHGv4FGHpDnaQxDogNArPHVwVsyAXWBGKM8B4GPjeVVgd3AcWAZUNBYXsh4fNx4vqqHv79wHlo7fUImZ1+6h4uOjpfw9rBTRyfPoiufjo6X0JVPR8dL6Mqno+MldOXT0fESuvLp6HgJXfl0dLyErnw6Ol7i/wHh1uigCNfMFQAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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qa2tdQUla4O/0sVPelvEESUlJ9O/veVW/xWLhN7/5DREREej1+pBPW/faTEcKO4OAZMe3QIiLGTRoGVuz1zD2oQ/R8uuxf/9+7rvvPvr06QOgaVmzllW6j1ttDNHrmHf9CK9S65eUlDB//nz+9a9/uZTDsmXLGDduHK+99hoDBtgdt6NHj6awsJD9+/cH5Lr+oByIChdCCDZ+fZZ7i9/hH796nL6/WAZoE8wDPzgUFy1aFLIw42DQ0NDA7bff3mopdllZGYcOHSI/P59169YxYcKELudFVA5ERWA4swmA5AvK+ccDn3Dt9HfZt/j/hSwa0RN6vZ7rrruuWysCsK9jaFtjITk5mRMnTpCQkMCBAwfCIkGqUgYKAEZuHg8MZ+Tm8fxi83jOe2ons6/4b0Zum6CZTFarlbvuukuz6weS/Pz8VmHJcXFxTJ48mRtvvJHXX39dQ8l+QPkMFAC8nzyAkRvf5P3kYS1az6DlV8RkMoWkfmIo0Ol0vPXWW0yZMoUdO3bwyCOPuMqzVVdXayucA2UZKAA4tvFXbRQBfPX6VPheu8KhH3zwAWPHdp6tq7uwc+dOiouLeeyxx1rVaSwtLWX16tUaSmZHKQMFAJFFt7b49B0AP/3LBPY8dos2AgFbt27tUcpg+fLl7N69m/Ly8lbter0eo9EY1JLy3qCGCQoATr/lHJt/gxB9kfJzTm8bh7joGeSDoZentLSU2267zTX11hMoKioC8Fg8xWq1Eh8fj8Fg0MxKUMpAAdiHCUMnTOdYzVaIf5B9S0diPvAdg3Ke1USe77//niuvvFKTaweLqKgo3n777Xb3l5aWYjAY3Mq9hwo1TFAA9mHC7KG7ifz9r8lbs4DYw0/xyOS32Zh/kyby1NbWcskll2hy7WARGRnJsWPtrziMjIyktLSU1NTU0AnVAmUZKAB4YVs2m96fw+NXXsgf+51D8vokRqDdF+RHP/oR3TlRbnt89dVXHe5PTEzUxCoAFYGo6DLfdbCvj99n7an/e2//LiGEz9WauxqBqCwDRZf4dOMv2903+JZ3QyhJz6KgoIDExETMZnPIqjUrZaCw4whHbsV5yZ0eNuRVRw3D11+FT5+FlB+mzaR2s5LdnuzsbKqrq0lNTQ3ZIi2lDBQA3PLuNNf7E19+y+fld/P+050rA7k+Cb5/h2Mvv0fE76ZweHw+V97zGjC4S/LMmjWLhoaGbr8uoSWdpXRri8lkorq6GrPZHJK1C0oZKADY+Iu+LT715VfXl8PT3hx5hoo7f8XvXkjh1zsWMmr6I7zHVK6851W6suKxX79+fh8brjQ2NnLvvff6dIwz9iAUAUlqalEBwJm3b2m1VXODV8f96+0Ubv7kURYeWc1r1w1lzoFVjMoaa1/x2AUuvPBCTpw40aVzhCPffdeRw7V9srOzAyyJO8oyUADQd9IPzuafnm0ieY93qwUTxr/Hxq83kNzX/lx54up+cGAVsb+5H/mQ//KMGDGCzz77zP8ThCGHDh1i9OjRPh9nMpkwGAwkJia6LYUOJMoyUADw7bd3urZjp++nZvxlXh236+xfudn6F35Il/YNT1zdD3ncc51Bbxk/fny7uQK7K8899xwTJ070+bjIyEisViulpaVBVQbKMlAAsG/pyFafP403enXcm/On8sLjV/O4eR19R97F8f/5M0P+36ouy5OTk8OAAQOwWCyalU4LNEeOHOmSI3D16tVBdSQqy0ABwIRztrbantjg3eqk36z8lH+supMVmz4FYPX8oi7LUl1dzb333svNN9/MBx980OXzhQvTp0/v0vF6vR6TyRQ0Z6KyDBQAfDvfv6XC8YXL+etNH/L7YfkwB5bXXMkyP2UwGo1UVlZSWVlJREQENpuNSZMmeSw60t2w2Ww89FAXnCgOnAuZnOsYAomyDBRdIvbFh3lw2G6qiWf20N1cvfhJv86TlpaGxWKhtrbWNSzQ6XQeKyt1R956662ARRKaTCZMJlPolYEQ4lkhxOdCiEMt2gYIIV4XQnzoeO3vaBdCiEIhxEdCiINCiDEBlVYRRNrUS/j+Ha+O2nCnGdueKpL3VGHbU8XGBb7nTDSbzQwfPpyioiJ0utYFQnqCVQDw+OOPB+xczuFCoKcbvbEMSoGpbdpygV1SyiuAXY7PANOAKxzbHMC/x4Qi5Pzr7RTAWcXoK8p/712cwZHRj/ACf3BtI97xLQa5urqalJQUHnroITdFAPYcALW1tT6dM9yora3lzJkzAR3rx8fHB3ypc6fKQEr5d+BUm+aZwHrH+/VAYov2MkeF6D2AXgjRtbhURUjYNrKEkXmPc70Yy09HXMbMFz/36rjKazey2bE9c+VLPFBW4/U1x4wZw+WXX87Bgwc77PfKK6+0qkrUnaitrWX58uVs376dmpoabr755oCde/Xq1ej1+oAlVPXXZ3CJlPJTAMfrxY72oUDLwn0WR5sizBn912u5ouRi/r39Nb755TOcYzF6dVzyeSdc2x/7neTxNZ92eozVauW+++5j586dXk0bpqen8/DDD/sc2681NpuN5cuXYzQaAbtfpH///q7PgSCQfoNAzyYID20eF28LIeZgH0pw6aWXBlgMha9MbFrPEw2xJPc9h4O/uZm0C3fy3LedH9c2PoH4jmMMjh49yrx589Dr9V7nN4yKiiIlJYWCgoKAeORDxaZNm4iKinLFBuh0OoqKirjllsAt5wxoIhQpZacbEAkcavG5HhjseD8YqHe8fxqY5alfR9u1114rPWEXTxHOfNtiOy6lLLn1x+32femll+SiRYtcn2NjY2VNTY3X16qrq5OxsbF+yxpKmpubO/zbRo0aJevq6gJ6TUBWVVW5bcA+6cXv3N9hQiUw2/F+NvBKi/YUx6zCeOBL6RhOKHomfc5scm2Dz2wi46WftNt3yZIl3H333a7PFRUV5OTk0NDQ4NW1DAYDmZmZ3WK4kJWVRVxcXLv7V6xYwfz587FarSGUqmM6HSYIIV4E4oGBQggLkAcsBTYKIdKATwDnwvetwHTgI6AZuDMIMiuCxgmgP76MHpf1LWj1edADpR32bzk0iIiIoKCgwK0oaUekpKQwf/58li3zN7Qp+BQXF3faZ8qUKTQ0NJCRkUFJSUnIshl1hDezCbOklIOllOdLKSOklOuklCellL+WUl7heD3l6CullPdKKYdLKUdJKd0TGyrCln1LR7aZYvTimN072Le73LG9wpuPtR8XMGHCBLdpwri4OHJzc3162jc1NXn1g9OC4uJiDhw4QGFhYad9MzMz6devX1hUUwK88xkEe1M+g/AAkBu/PisHLdkjv94zS0rZ2Okx/1s1S543b5cEJCnl8n+rZnXYv6ysTN54442yubm5VXt6erosKiryWtbm5maZnp7udh6taG5ulkVFRX7J09jYKCsrK7ssAxr5DBQ9DT9Lsi+e8yKfLJsMwKH1SSye03H/O+64g2uvvZa5c+e2ai8sLGTnzp1exxPodDoKCwvJysrCYvHekgkGp06dIisriwMHDngMnGoPm83Gjh07yM/PZ+HChZqXV1PKQAHAsr53uF7X9L2Di7/6F7EL+/BYfEaHx5V9+kO2w5GOz51hNBppampq1abT6SguLubhhx/2+keh0+mYOHEiSUlJmv2QzGYzU6dOZeLEiZSUlHh9nFOB7Nu3j3vvvZepU6cyf/78IErqBd6YD8He1DBBe67e+ImE4fLqjZ+4bR1B/Hz7K0h5LE+ed0exV9dramqS5eXlbu3+TB/W19fL2NjYVtOWoaC5uVnGxsb6NUUYGxsr169f36pt5syZcv/+/X7LQxeHCWoJc2/n+11wzgh7OXb5kc+Hn37zMQCS93yNkQs4XebdV0qv13POOecwZswY15JlsE8f7t27l4yMDAoLC70yu6OiolyzEfPnz6ehoYF58+Z1OLXXFRITExk0aBDz5s3zehbESVlZGcXFxW7H2Ww2jh8/Tv/+/QMpqk8oZdDLeTJmH2Nvmk+s0c+CJ2/fwhngBYBGONMI5/1io1eHJiYmcu6555KYmIinilrr1q0jMzPTJ3GWLVtGQ0MDjz76KB9//DGTJ08OSKakU6dOsWXLFoqLiykoKPBL0SxevJgjR47w2muvue1bt24dN998M5GRkV2W1V+Uz6CXM7B2Hsun7XZ8OoHbUuZO6DtprGv72YTh9M3x7SuVkJDAjTfe6Da1WFhYyIEDB6ioqPDpfE6n3Lfffss//vEPpk6dSlpaGmVlZT6dx4nFYiEjI4OpU6fy1VdfsWHDBr8UwalTp7BarRQWFrqFYdtsNnbv3s1dd3mXhDZYqFqLChdCCAYNWsbW7DWMfehD/DEchbgFKb2zDFqSnJxMQkKCWzKThoYGLrzwQq+e7haLhbVr17a7EMhqtWI2mzl06BBSSurr6wH7D9X5A7XZbBgMBkaNGkVkZCSPPvoo69b5n9y1traWnJwcj9ZEQ0MDt956K3fffTdz5szx+xpOulprUXPnoVQOxLABP+IM2vLHwza/rl1XVydHjRrlMZ4/NjZWnjx5ssPja2pqZExMjF/X7oimpiY3R5+3lJeXy9jYWFlfX++2r6amRgIBiS9wgoozUAQEP+MM2vLElRf4dXmDwUBhYSETJkxwixtISUlhwYIF7UYpVlRUcM899/DII4/4de2O0Ov1rFixwucEKzabjW3btlFRUeGxRNxdd91FXV0dCQkJgRK1yyhloAD8jzMIJPHx8VRWVjJjxoxW7ZmZmfTv35+CggK3Y4qLi3niiScoKysL7HLeFrSnpNrDZrORlZVFYWGh2/DGZrOxePFitmzZEpL6iT7hjfkQ7E0NE8KDzmIKQomnmIHGxkZXDEJjY6O88cYbQyrTqlWrZFpaWod9YmNj5fbt2z3ui4mJkatWrQqGaFJKNUxQBIrvd/F+3DpXrUWOG+0xCHyjiTh1dXVui5EiIiJISUnBbDYzY8aMgCYJ8YacnJwOC8Lu2LGDZ555xmMS19raWvLz88nJyQmmiF1CKQMFAGsnJjF76D+5cvwA+k4ay+yh/2TtxCSO1/o2zx8oli9fzlNPPeU2Vv/JT37iynp0xx13hFyuP//5zx6nKYuLi1mzZo1H07+srIx77rknrPwDngjbqUUhWmdQCwc5ezIn+I5B9HFru1hcoOm93717N6+++irXXHMNL7/8Mn369GHTpk2ayQP29QgxMTHU19ezZ88eLBaLx3Rs6enpSClZuXJlSPIVdHVqMawjEJ1fwraKQRF4Tu9IgsmpcN5we8OZjzn9Rimgbd2CSZMm8e9//5vjx49TUFDA8OHDNZUH7DMflZWV3HrrrZx33nkeIwqdNSIDmfw02ISNMvD0g2/Z1vK9shICz+9uGE3CuXlcftMxAD7aPJJt340m/sXAFurwh+uuu05rEdxISEigvr6ezz//3C2isLa2lrlz57J//36NpPOPsFEGoH7kWjLri0VsevtPfP6lfS5/ZHZ/Jg27gHuHhNVXJKx44IEHGDduHDabzbWgqqKiAqPR6FWmo3AjrP7T3g4HlNIIPH/sdw5/nDJQazG6HXv37uX999/nySef5NSpU6xZs4akpCStxfKLsFIGnpwfCkW4M3LkyLDNyegLYaUMFBpyxoOH/rxk9zZFj0UpgwBx9OhR6urq+Oijj5g9ezYXX3xx5weFEbe8O831/sSX3/J5+d28/7RSBr0JFXQUAJwRcceOHWP48OHccMMNHuPow5mNv+jr2t6cMpCLnynXWiRFiFGWQQCIiYmhpqbGtV593LhxDBs2jMsvvzzso86cnHm7dWhvNd6VZFf0HJQy6CIrVqygsbGx1eq0iIgIYmNjmTFjRreZ+eg76YcAtZ+ebSJ5j7ZZdxShRykDP3BWEr7sssvIz89vlbTTuXzVmdnm17/+NeXl5WFRPis6Oppx48ZhNpv53e9+xwMPPODa9+23rSvhDREXQzdRZIrAoJSBH9x4443cfffdHpN1ZmVlER0d7Roy3HTTTaSlpVFert0Y3Gq1kpeXx6uvvkpERIQr8cbRo0ddCTjbllb/NN7o17VMdcdYvr2e41YbQ/Q65l0/gsSYoV38CxShQCkDH6mqquLpp5/2mBSzoaGBadOmtQo6yczMxGw2YzQaNYlTd1pgbv9uAAAfO0lEQVQx//d//+cayuh0OpKSkkhOTnYV/ZxwztZWxz2xYbTP1zLVHePBivewnT4LwDGrjQcr3gNQCqEboJSBDzzzzDM89dRTHmPOa2trmTBhgkcfQVFRUcjX3jtxWjFDhgxx2xcTE0NeXh6PP/44X85vvaitj1vvzlm+vd6lCJzYTp9l+fZ6pQy6Ab1matFUd4y4pW9wWe6rxC19A1PdMa+PtVqtzJs3jzvuuMNNEdhsNjIyMrjqqqvadRbqdDqqqqoYPXp0yMqAFRcXM2bMGA4dOkRmZiZJSUlu5bseeugh8vLyGDNmDH2g1eYPx62ecxS2164ILzpVBkKIZ4UQnwshDrVoMwohjgkhzI5teot9DwohPhJC1Ashrg+W4L7gNF+PWW1IfjBfvVEIZrOZCRMmsHz5crfqPs56eZ5y4XtixYoV3H777VitVn//lE6xWq0YjUbMZjOVlZWt9nkqZT5gwAAqKyuprq7u8rWH6D1XP2qvXRFeeGMZlAJTPbQXSCkNjm0rgBDiauBW7DU4pwJrhBDnBkpYf+nIfO2IqqoqUlJSWLVqlds+i8XiKrjpbeXdKVOmcPfdd5ORkRE0hZCRkYHFYqGoqMgtGedjjz1GWVmZW/agiIgIsrKyumy1zLt+BLrzW/+7deefy7zrR3TpvIrQ0KnPQEr5dyFEpJfnmwm8JKX8DjgihPgIGAf8j98SBgB/zNcZM2awZs0aDh486LZv3LhxVFRU+FxnD+wOxbS0NObOncvatWsBu/VhtVppaGigT58fjPTvvvuO48ePEx8fT3x8fIfn3b17N3PnzvUor5MBAwawd+9eamtrGTduXCv5Dx48SHFxMUVFRX4XDXH6BdRsQvekKz6DTCHEQccwwlktcijQ2KKPxdGmKb6Yr1arleTkZP72t7+1m+a6oqKiy/X7kpOTSUxMRAjBww8/zNatWxk4cCAXXXSRaxs4cCADBw5k69atCCG45557PIY5P//88+Tk5HhdQiwuLo7c3Fy3OgRpaWkIIbo065EYM5Ta3MkcWXoDtbmTlSLoRvg7m/Ak8CggHa8rgT8AnhISePSqCSHmAHMALr30Uj/F8I55149oNeUFns1Xs9nMn/70J2666SY3098ZTNS/f3+/FUFtbS27d+9m4cKFpKens2zZMl588UWvhhn5+fk0NjayZ88ehBAsWrSIq6++msTERDZt2tSqkrE3JCUlkZGRQUlJiatNp9NRVFTExIkTu1W6LkVg8MsykFJ+JqU8K6X8HijBPhQAuyUwrEXXCOB4O+d4Rko5Vko5dtCgQf6I4TWJMUNZkjSKoXodAhiq17EkaZTbUys3N5cFCxZ4DCaaNGkS0dHRLFu2zOfr22w2KioqKC0tZezYsZw8eZKSkhKioqK89jfodDqioqJISUnh5MmTjB07lnXr1hEXF0dpaanfCqqtQ1Gn02EymTCZTH6dT9F98csyEEIMllJ+6vh4E+CcaagEXhBCrAKGAFcAvg+sg0BizNBOTdb777/fLed9RUUFS5cu9cs/UFtbyyuvvEJWVhZJSUkBy4AzYMAApkyZ4pK1oaGBpUuX0tDQ4NOPuKSkBIvF4uY/iIiIYO/evWEVSq0IPp0qAyHEi0A8MFAIYQHygHghhAH7EOAocBeAlPJ9IcRG4APstb3vlVKe9XTecKShocH1A7PZbKxbt46dO3f6VRY8Ly/P5x+nv0RFRbFs2TLMZjOLFy8mJyfHa4sjIiKCZ555xpXN10lSUhLHjx/XPJRaETo6HSZIKWdJKQdLKc+XUkZIKddJKe+QUo6SUo6WUs5oYSUgpVwkpRwupRwhpdwWXPEDy9y5cykuLnbFDxw4cIAXX3zRJxPcbDYzadIkrrnmGl580beipV3FWcBj0qRJNDQ0+HRcZmamR4di//792zlK0dMImyIq7777blgs9zUajVgsFte0ny8UFxeTmJjY5ZmGQGCxWEhKSvJpeJORkUF0dLSbz2TMmDEUFBQwadKkQIupCCBdLaLSa8KRvcVoNPqllIqLizlw4EBYKAKwm/+vvfaaT4k6CwsLPQ6Lnn32WebOnRuyUGqFNoSVMhBCeLUFm5UrV3o9Zw8/KIJwy5U/YMAADhw44LVC0Ol0FBcXs3Tp0lbtBoOBFStWaF7WTBFcwkYZtC0P3bKt7f5go9frWbFihVvYbns4FYG3TrtQUlhYSFlZGTt27PCqf0uHYksmTpzI4sWLg7quQqEtYaMMPBEqS8ATBw8e5NSpU4wZM4ZTp0557OOclispKQlLRQD2p/3evXu5+OKL2/072mIwGDCZTGRkZLiO2b9/P1lZWWqasQcTtsrAk3UQahISErjtttvclv6CffowPz+f3NxcDSTzHYPBwIIFC7zun5mZycSJE5k6dSqLFy9mwoQJpKamBk/AXk5XltgHirBVBuHCAw88wI9//GO39m3bttG/f/9uV0rLl5iJlJQUdu/ezUsvvURlZSUxMTFBlKz30pUl9oFEKQMvePzxx7nmmmtcPgSnpeBPaLKWlJSUcPz4ca8cijabjXnz5pGSksLBgwe7Tcr37oi/S+wDjVIGXrJhwwYmTJhAQ0MD1dXVTJs2rfODwpC0tDTKyso69R/MnTuXH//4x60WMimCQ7hkiFLKwEsMBgOVlZXceuut5Obmhq3DsDN0Oh25ubm88MIL7fZpaGhg3LhxGI1G5TAMAeGSIUolRPWBhIQEzGZzt7UKnEybNo0LL7zQ4+rMjhK7KoKDt0vsg41SBj7yt7/9jT//+c9ai9EldDod9fWtx6OLFy+mrq6O5cuXa6MIPFWB9pVuWjU6XDJEKWXgAyaTifHjx2stRkCIiopyrVQ8deoUn332mauGghasuLLrqeQf+Kj7WjPeLLEPNkoZ+IDZbGb69Omdd+wmvPHGG0yePJkZM2Z4rAURSuZ93PVzPNB5l26DFpWplDLwgf/+7/8mPT1dazECxtatW5k9e7ZbSnUt6PPYO+3u+25BrFf9egpaVaZSysBLTCYTBoMhbFYlBoIhQ4bw5ptvdpp5ORR8O7/9FbZigXf9egpaVaZSU4tecurUqR7jL3BiMBg4dOhQ5x0VIUWruAOlDLyktraWSy65RGsxAsp//Md/0NTUpLUYijZoFXeglIGXvP3221x11VVaixFQIiMj+eyzz7QWQ9EGrSpTKWXgJe+//75X9RS7EwMHDuSJJ57QWgxFG7xN7R9owsKBePLkSa1F6JX0NOXWk9Ai7iAsLIPGxkavswopFIrgEBaWgcFg4Gc/+xm1tbXExcVpLU6vwWKxcN1112kthoMTAegX3MpcPZ2wUAZgz72XlJREbm5uWCYMGTlypFuhke5Oc3MzUVFRWosBwL6lI7vcb2zu54ESp1cSNsoA7Fl4nJV8PK2o05KJEyfS3NystRgBpbm52a1wilbEPuidZdBRP9k9MtCFLWGlDJw1/mw2m0/5/kNBTEwMe/bsCZsnaSCoqalh1KhRWosBQN6x01qL0OsJK2XgRKfTceDAAa3FaMXFF19MTU2N1mIElHfffZfZs2drcm0tFuIoOiYsZhM84SxIsnjx4rAwZT/55BNWrlyptRgBpbS0VJN1CeGSAFTRmrBVBs60YkeOHCErK0tTWaxWKwcPHmT69Ok+FTQNd+666y5NrttxAlALfLmm85N8uQYIwLpnhYuwVQZOSkpKKCkpISMjI+QWgtls5pprrmHDhg2sXbuWp59+2mMNhe6KVjUf2ltwc6zpG4QYhtDf2+k5hP5ehLicfYuHwfcHAy2ipmhVQ6FTZSCEGCaEeFMIcVgI8b4Q4j5H+wAhxOtCiA8dr/0d7UIIUSiE+EgIcVAIMSYQgkZHR5OVlRUyhVBVVUVKSgqrVq1yzWz0pGlFs9lMZGSkJtdub8HNma++sL+JX9XpOc6btwu4gdiFFnbNnwp8EzgBNUTLIZQ3lsEZ4E9SyquA8cC9QoirgVxgl5TyCmCX4zPANOAKxzYHeDIQgmZmZhIdHc2sWbMCcbpOycvLo6ysjClTprRqT0lJCcn1g01H2ZGDjaeFON+f/pam3es5745lbKy6r9NzfLJsMsl7NgDwm5WfcrymKCiyhhotayh0qgyklJ9KKfc73n8NHAaGAjOB9Y5u64FEx/uZQJm0swfQCyEGB0LYzMxMTCYTer0+KOXBrVYrycnJpKens3//fgwGg1ufpKSksJv29JXi4mJGjBjB888/r8n1PS3EObmtiObDu7GVzSO5r/vX8uXrL6P89gvYt/RiAAYDG3/xQ77GoRMfDJH0wUXTGgptqx93tAGRwCfATwBrm31NjtctwIQW7buAsR2d99prr5WesIvnznPPPSf79esn6+rqPO73l8mTJ8uioqJO+wHy5MmTAb12qDh58qSMjY2VJ0+elDExMXLz5s1aiySltN/T9v7fUkoZX7jBYx9nW3vHbt5vkb9csktGLtgif7lkl9y83xJQuQPNL5fskj9bsMVt++WSXZ0e2/JetNn2SS9+3147EIUQfYFyIFtK+VVHXT3pHA/nmyOE2CeE2HfihLdx6XZSU1NZvXo18fHxAbMQTCYTCxYs8CrysaioiKeeeiog1w01S5cuJTc3lwEDBvDss8/yyCOPBMXKCjR3sdbnY7rjFGZXcxl4+pF7i1fKQAhxPnZF8FcppbNy52dO89/x6gwMtwDDWhweARz3IPQzUsqxUsqxgwb5vsDEqRDaKwbqi0f2+eef5y9/+Yubf6A90tLSMJlM3W6a0Ww209DQ4CoCYzAYWLFiRVjNkHxv8VQ/4Ruezqru8Ljz7nCvexkuNQx9QatcBuDdbIIA1gGHpZQt3byVgDN8bTbwSov2FMeswnjgSynlpwGU2UVqaipSSvR6PaWlpa52b58Ir7/+OjNmzODnP/85RUVFXk9f6nQ69u7dy9q1a7uV/2Dr1q2YTKZWpeGmTJnCjh07MBqN2gkGMNjumP31sFs4tnEc9tWJJ4CPmT2kL9XA1fkbOO+OYtKGCMpvv4AFQxxGaPyDmEvnuZ0yXGoY+kpizFBqcydzZOkNvHr3GEyPL8RgMCCEwGAwYDQaKS0tpbq6utVxTitACOHafKKzcQQwAbuZfxAwO7bpwE+x+wM+dLwOcPQXwBPYI0LeoxN/gfTDZ9CWuro62a9fP/ncc89JKb0fd02dOlXW19e7PhcVFcn09HSvrimllM3NzTI2Ntbr/lqyfft22dzc3O7+hIQEr/wlwWJW7XEJUyQgB4N8Z8kg+c6SQXLXn37iGPdeI584ZJUvWL5rPR4efK/M+8Dq8ZxdGX9rTUFBgYyOjpaAzMvLk2+++abf58JLn4GQYVBTb+zYsXLfvn1u7UIIr8c8ZrOZ+Ph4rFYrl+W+6u6kwK6ljiy9wfU5IyPDrcpwRkYG0dHRXq+atFgsQHjHINTW1pKTk8PevXvb7WOxWJgxYwb5+fmalF8/A0x9/Ri7Zi+BTyuAlsbkDVz95BLev9u+qOr8+W9wpmI/DB9A3rrbMUb8yOM529YfAPv4O1Rmt69YrVZMJhOrV68mMjKSxMREEhMTu1zlSgjxrpSy8xzz3miMYG9dtQyc1NXVydmzZ3v9RIiJiXGbFWhubpYzZ8706bqxsbGysbHRp2NCRWNjo4yNjfVq5qW+vl6OGjUq4LM03nJaSpnX+J0ctGSPhLvs2+AHZfKeJvl5i37HpZQbT0v55tnOz9ldZhPuu+8+2a9fPxkdHe2ycAMFXloGmisCGUBlIKWUTU1N8sqpKfKyeaZWiuDKh7e5fRGamprk5MmTZXl5udt5fP2B19TUhN2Qob6+XtbU1Ph8XFFRkWxqagqCRAonTU1N8r777pOAnD17dlCv5a0yCPu1Cb6i1+v5nxcfp897FfQ5Yw9RPVcIlxe5pRNRr9ezcuVKjEajWw7G//qv/yIpKcnr8Oe4uDgKCgrCJpdjbW0tI0aM8CuNXExMDHl5eUGQSuEkMjISs9nMkSNHWjm/taTHKQP4QSGc8/6rXHDeOZx1+B08zSoYDAb+8pe/MHfu3FbnmDJlCikpKT6th4iLiyMnJ4eysrLA/TE+4kwMk5OTQ2Njo0/H7tixg3HjxvHKK69QWFjIihUrgiRl7+Xo0aPEx8e7ZgO0Wh/iiR7jQPRE3NI3OOZhGmmoXkdt7mS39vT0dIqKilpNvdlsNrKystwcjZ1RUVHBzTffTHNzc6vzBQubzcamTZvo27evzzkknX9jYWFhK1kXL17MkCFDSE1NDbC0vQ+r1UpkZCQmkynkOSS8dSD2SMvAia/zzEII1q1b16pNp9ORl5fns/mflJREY2Mjs2bNCvrQYceOHUyaNIlDhw75rAgsFguzZs2ipKTETWnt3bs3rJ5c3RWz2YzBYHBZBeFKj1YGvtasW758Obt376aioqJVe0REBDk5Oa5pRG+JiIjAaDSyfPlyZs6cGfDl1zabjYqKCnbu3MmGDRtYtsw9Cq8jzGYzSUlJHldims1m9Hp9WH95uwNOSyA1NbXLU4RBxxsvY7C3QM4mtGTzfou88uFtrWYVoh56tcPppbq6Ojlq1Ci3dudsQUeBO+1RX18vr776agnIoqKiLk/d1dTUyEWLFklALlq0yO/zxMbGtjvbEBMTI6urq/0+t8K+oA4I+FShr9Dbgo7ao23izZ//6xBVxY9QXV3tcYmykzFjxrBz5063EmTz58/36QnszJTU9lpHjx5l8+bNNDQ0uBY9zZvnHlJ75swZCgoKuOuuuxg4cCCLFi3q0j2x2Wzk5eXR1NTk5gex2WysW7eOzZs3s2vXLr+vobDnlzQYDB1+x0JFrww68hbnEuiOyMvLk2lpaW6WQHNzs1y/fn2n12hubpbz5s2TR44c8UqmpqYm+eabb3rcWs75V1ZW+r18urGxUaanp8uioiKPf1daWppMSkpSMQZdxJvvVyihtwYdectzzz3Xqbl+//33ezTDOzKvpbTnDEhLS5NZWVldltMTnpSUN8TGxnoMsJJSyhtvvFHm5eV1UTJFsHJtdAWlDLzAmzHdkSNH5MiRI93anT6Etk9pQFZWVgZa1FY0NTXJ3/72t15ZKFLaIwrbi47cvn27Rx+JwneOHDkSEP9AoEOolTLwks2bN7da8eiJurq6Vqsbnaxfv77VKsf169eH7IngVFKdhRsvWrRIpqenexxaFBUVyZEjR4bVU6w7Ex0d3eVzeHJ6ewql9wVvlUGPnlr0hsTERKqrq8nOzm63j8Fg4NZbb3WbWkxJSeHEiRPYbDYWL15MVVVVyBxGkZGRbNiwgQkTJrTb59SpU4C9IE1bR6jNZmP37t3U1NSEhZOru9PR98cXwjoham/AYDBQXV3dYYz4bbfdhtFodIsVSEpKYu7cuXz88cc+Ryl2FYPBQGVlpcf4B4vFwtSpU3nooYfcgoksFgtz586lpKQk/Oe+uwHO747JZOryudqtKRGChCxKGThwTgPp9XqP4bcPPPAAK1asICUlhYaGBmw2G2VlZcyePZu1a9eybt06TX5YCQkJrF271pW6zGw2M27cOJqbm93yF9TW1jJ69Gjq6upYu3atUgQBIDs7G6PR6Ao37irtBcQJCHruxh4fZ+ArR48eJTExscMkodOmTeO1115j2bJlxMbGah6lZ7VaycjIYNKkSezcuZNly5Z5rBbdXsxDbyLQBV+dafsDFbZtqjtGzt/MHpPztLempjO8jTMIyyrMWhIZGUl1dTWpqantDhu2bdsWWqE6Qa/XU1JSwoQJE5g+fbqbInAGGtXU1PRqa6Bt5iPnKlbAb4WQnZ0d0PUbiTFDyf6b5wdRsHM3KmXgAb1ez+rVq13DBmfhlnAuI67X6zl06BBCCG677TbX03/MmDHcdtttPq9b6Il05Jzz5/8YGRnJ0aNHAyTdDwzV6zz6CNobQgQK5TNoB71eT3V1NVarlfj4+G6Tg7+6upqysjJX/rz8/HweeOABrcUKCwKZLTmYCUm6WjvBX5Rl0AHO8WBqaiqPbTsc0KdKsJg0aRKTJk1ypdHW2p8RTgwJ4BPXaDQGLb288/sUaitUKQMvKC0tJXLBFvCQhz5cc/ArJeDOvOtHeMyW7OsT1zmFGMykL4kxQ0P+kFHKwEuG9r9Qk3GcInAE6ol700030dTUFAwRNUUpAy8J1FNFoS2BeOLOnDmzR87KKGXgJS2fKpamb7j4x+ezMCE8i3EogktPzQmpZhN8wFkDL/+qk3y46lYihW/VoxXdH7PZTGJiotZiBAWlDPwgNTUVq9WK2Wz2vbilolsTqAVJ4YgKR+4izvnmnmo6KlrTHb6TbVHhyCGiZdZbpRB6NtXV1URHR2stRtBQw4QAYLVaXaHLip7L6tWre/QwoVNlIIQYJoR4UwhxWAjxvhDiPke7UQhxTAhhdmzTWxzzoBDiIyFEvRDi+mD+AeGCMyeCsg56LoFcnegJU90x4pa+wWW5rxK39I2Qh7p36jMQQgwGBksp9wshLgLeBRKBW4B/SSlXtOl/NfAiMA4YAuwEoqSUrWN5W9CdfQZtceZFCJdimorAEczvY9sVlWCPY1mS1PXp64CVV5NSfiql3O94/zVwGOhIupnAS1LK76SUR4CPsCuGXkF1dbVrPYOi52A2m+nXr1/Qzq9lujMnPvkMhBCRQAzwtqMpUwhxUAjxrBCiv6NtKNCy/K+FjpVHj8K5uMm5BNpqtWotkiIAmM3moK73COSKSn/xWhkIIfoC5UC2lPIr4ElgOGAAPgVWOrt6ONzNthJCzBFC7BNC7DtxoucF7ziXQMfHxyuF0AM4evRoUDNE+VoXNBh4FWcghDgf2AJsl1Ku8rA/EtgipbxGCPEggJRyiWPfdsAopfyf9s7fk3wGbUlMTOTo0aNUV1er2YZuTLCDyy68ahI/nTaXc86/wNX2/elvObmtiObDu70+j6ffS8B8BsJ+F9YBh1sqAodj0clNwCHH+0rgViFEHyHEZcAVQOvMnL0Ik8mE2WwmOztbWQjdHG9qD/i7ffNBNYW3j2eoXofAnu2o8PbxfPNBtdfncCKEcG2+4M1swgTgLeA94HtH80PALOxDBAkcBe6SUn7qOGYh8AfgDPZhRYdJA3uyZdCSyMhITCZTr05I2l3pbmHnUsqWMgcmAlFKWYNnP8DWDo5ZBCzq7Nwd4fxDnK89QSnEx8cTHx/faQVoRfjRHb5/bR+ezvfeKrKwjkBsa/50d0pLSzEajcTHx3eYil2h0IKwWZvQnlZr+767k52dTXZ2tisoSVkIikCyZcsWv48Na8ugJ5Oamkp8fLyKVFSEDWFjGYD3Y5ueYimsXr2aO++8E1ArHhXaE1bKoKqqSmsRQkpqaiqpqamYzWb0er2aelRoihomhAHeVIFWKIKNUgZhgsFgIDs7Ww0XFJqhlEEYUV1djclkUgpBoQlh5TPwlu4WDeYr69evZ/369VqLoehldEtl0NscjQqFNyQkJHTpeDVMUCgUgFIGCoXCgVIGCoUCUMpAoVA4UMpAoVAA3XQ2oateU4VC4U63VAY9ZaGSQhFIuhp/ExaFV4UQJ4BvgC+0lqUdBqJk85VwlQt6n2w/k1IO6qxTWCgDACHEPm/ytGmBks13wlUuULK1h3IgKhQKQCkDhULhIJyUwTNaC9ABSjbfCVe5QMnmkbDxGSgUCm0JJ8tAoVBoiObKQAgxVQhRL4T4SAiRGwbyHBVCvCeEMAsh9jnaBgghXhdCfOh47d/ZeQIky7NCiM+FEIdatHmURdgpdNzHg0KIMRrIZhRCHHPcO7MQYnqLfQ86ZKsXQlwfZNmGCSHeFEIcFkK8L4S4z9Gu+b3rQDbt710w68d5URvuXOBj4OfAj4ADwNUay3QUGNimbRmQ63ifCzwWIln+ExgDHOpMFmA6sA179avxwNsayGYEHvDQ92rH/7YPcJnjf35uEGUbDIxxvL8IaHDIoPm960A2ze+d1pbBOOAjKeU/pJT/Bl4CZmoskydmAs7UQ+uBxFBcVEr5d+CUl7LMBMqknT2Avk1x3FDI1h4zgZeklN9JKY8AH2H/3wdLtk+llPsd778GDgNDCYN714Fs7RGye6e1MhgKNLb4bKHjGxMKJLBDCPGuEGKOo+0S6Sgq63i9WDPp2pclXO5lpsPUfrbFcEoz2YQQkUAM8DZhdu/ayAYa3zutlYGnYGqtpzfipJRjgGnAvUKI/9RYHm8Jh3v5JDAce3XuT4GVjnZNZBNC9AXKsVcC/6qjrh7agiqfB9k0v3daKwMLMKzF5wjguEayACClPO54/RzYjN0k+8xpNjpeP9dOwnZl0fxeSik/k1KelVJ+D5TwgzkbctmEEOdj/7H9VUpZ4WgOi3vnSbZwuHdaK4N3gCuEEJcJIX4E3ApUaiWMEOLHQoiLnO+BKcAhh0yzHd1mA69oIyF0IEslkOLwjI8HvnSaxKGizTj7Juz3zinbrUKIPkKIy4ArgL1BlEMA64DDUspVLXZpfu/aky0s7l2wvKY+eFenY/eofgws1FiWn2P33B4A3nfKA/wU2AV86HgdECJ5XsRuMp7G/oRIa08W7ObkE477+B4wVgPZnndc+yD2L/HgFv0XOmSrB6YFWbYJ2E3pg4DZsU0Ph3vXgWya3zsVgahQKADthwkKhSJMUMpAoVAAShkoFAoHShkoFApAKQOFQuFAKQOFQgEoZaBQKBwoZaBQKAD4/+JH9oHyECDiAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "lokalen = d.location.unique().tolist()\n", "\n", "for i in lokalen:\n", " temp = d.loc[d[\"location\"] == i]\n", " plt.scatter(temp.x, temp.y)\n", " #print(np.column_stack((temp.x, temp.y)))\n", " #print(i)\n", " img = plt.imread(i+'.png')\n", " #print(img)\n", " plt.imshow(img)\n", " plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Zoals men kan zien zijn er sommige meetpunten dubbel. Moest de data zeer gelijkaardig zijn op deze meetpunten is het misschien een goed idee om deze dan eruit te halen." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "\n", "def removeIrelevant(df, minSampleSize=50):\n", " rdf = []\n", " returnable = pd.DataFrame()\n", " for i, v in df.iterrows():\n", " rdf = CloseToOthers(v, rdf)\n", " rdf = pd.DataFrame(rdf)\n", " return rdf\n", "\n", "def CloseToOthers(i, df, SpacePerc = .02):\n", " tdf = pd.DataFrame(df)\n", " approved = []\n", " if \"location\" in tdf:\n", " l = tdf.loc[tdf[\"location\"] == i[\"location\"]]\n", " for index, dataframe in l.iterrows():\n", " temp = abs(dataframe.px - i.px) \n", " temp2 = abs(dataframe.py - i.py)\n", " if temp <= SpacePerc and temp2 <= SpacePerc:# and len(dataframe[\"WifiInfo\"]) > len(i[\"WifiInfo\"]):\n", " if any(tmp[\"routerId\"] == tmp2[\"routerId\"] for tmp in i[\"WifiInfo\"] for tmp2 in dataframe[\"WifiInfo\"])\n", " continue\n", " return df\n", " df.append(i)\n", " return df\n", " else:\n", " df.append(i)\n", " return df\n", " " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "g = removeIrelevant(d)\n", "print(\"oud: {} \\nNieuw: {}\".format(len(d), len(g)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Training data:\n", "\n", "Nadat we de dataset gefilterd hebben, kunnen we beginnen met onze training data voor te bereiden. Om het model te scoren zal er gebruikt worden van een test set, hiervoor gebruiken we dus train test split om zo onze test set te genereren.\n", "\n", "Onze x values bestaan uit een lijst van een routerId en signal strength en voor elke x value lijst is er ook een y value die bestaat uit een location, xcoord en ycoord." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "from sklearn.preprocessing import StandardScaler\n", "from sklearn.preprocessing import MinMaxScaler\n", "from sklearn.preprocessing import MaxAbsScaler\n", "from sklearn.preprocessing import Normalizer\n", "\n", "def prepTraining(df, l=7):\n", " x = []\n", " y = []\n", " scaler = MaxAbsScaler()\n", " for i, dataframe in df.iterrows():\n", " tx = []\n", " for i in sorted(dataframe[\"WifiInfo\"], key=lambda x: x[\"signal\"], reverse=True):\n", " if i[\"routerId\"] not in tx:\n", " tx.append(wifiSignals.index(i[\"routerId\"])/len(wifiSignals))\n", " if len(tx) >= l:\n", " break\n", " ty = (lokalen.index(dataframe[\"location\"])/len(lokalen),dataframe[\"px\"], dataframe[\"py\"])\n", " x.append(tx)\n", " y.append(ty)\n", " \n", " fx = pd.DataFrame(x)\n", " fy = pd.DataFrame(y)\n", " xtrain, xtest, ytrain, ytest = train_test_split(fx, fy)\n", " scaler.fit(xtrain)\n", " #xtrain = scaler.transform(xtrain)\n", " #xtest = scaler.transform(xtest)\n", " return xtrain, xtest, ytrain, ytest\n", "\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Modellen\n", "\n", "### Lineare regressie\n", "\n", "Het eenvoudigste model voor deze opgave. Vooral afhankelijk van de trainingsdata die het model ontvangt." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.linear_model import LinearRegression\n", "\n", "\n", "xtrain, xtest, ytrain, ytest = prepTraining(d)\n", "\n", "\n", "def LinReg():\n", " lr = LinearRegression().fit(xtrain, ytrain)\n", " print(\"Model score:{}\".format(lr.score(xtest, ytest)))\n", " return lr\n", "\n", "model = LinReg()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Gaussian process\n", "\n", "Dit is een overblijfsel van hoe ik de opdracht oorspronkelijk zag en ik wou het toepassen op deze data." ] }, { "cell_type": "code", "execution_count": 381, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model score:-0.0018899442982293537\n" ] } ], "source": [ "from sklearn.gaussian_process import GaussianProcessRegressor\n", "from sklearn.gaussian_process.kernels import RBF\n", "\n", "def GaussProc():\n", " gp = GaussianProcessRegressor(kernel=RBF(),alpha=.08).fit(xtrain, ytrain)\n", " print(\"Model score:{}\".format(gp.score(xtest, ytest)))\n", " return gp\n", " \n", "model = GaussProc()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Random Forrest" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from sklearn.ensemble import RandomForestRegressor\n", "\n", "def rfor(est=5, dep=50, pr=False):\n", " lr = RandomForestRegressor(n_estimators=est, max_depth=dep)\n", " lr.fit(xtrain, ytrain)\n", " if pr:\n", " print(\"Model score:{}\".format(lr.score(xtest, ytest)))\n", " return lr, lr.score(xtest, ytest)\n", "#Calculating optimal depth\n", "lastScore = 0\n", "optimal = 1\n", "for i in range(1,800000):\n", " if i == 1:\n", " model, lastScore = rfor(dep=i)\n", " continue\n", " model, score = rfor(dep=i)\n", " if score > lastScore:\n", " lastScore = score\n", " optimal = i\n", " \n", "\n", "print(lastScore)\n", "print(optimal)\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Ridge" ] }, { "cell_type": "code", "execution_count": 383, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model score:-0.02514315655055795\n" ] } ], "source": [ "from sklearn.linear_model import Ridge\n", "\n", "def ridge(alpha=.9):\n", " lr = Ridge(alpha=alpha)\n", " lr.fit(xtrain, ytrain)\n", " print(\"Model score:{}\".format(lr.score(xtest, ytest)))\n", " return lr\n", "\n", "model = ridge()\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## logistic regression" ] }, { "cell_type": "code", "execution_count": 384, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model score:0.010811687291708824\n" ] } ], "source": [ "from sklearn.linear_model import LassoLars\n", "\n", "def logreg(alpha=.002):\n", " lr = LassoLars(alpha = alpha)\n", " lr.fit(xtrain, ytrain)\n", " print(\"Model score:{}\".format(lr.score(xtest, ytest)))\n", " return lr\n", "\n", "\n", "model = logreg()" ] }, { "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": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }