20240513 11473900 1.0 TRUE UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\workstation 9\Documents\ArcGIS\Projects\MyProject6\Waste_Management_2</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>List_Of_Recycling_Hubs-point.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Field</field_name><field_type>LONG</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\workstation 9\Documents\ArcGIS\Projects\MyProject6\Waste_Management_2</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>List_Of_Recycling_Hubs-point.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" "<operationSequence><workflow><DeleteField><field_name>Contact Nu</field_name><field_name>Electron_1</field_name><field_name>Metal scra</field_name><field_name>Metal tin</field_name><field_name>Other type</field_name><field_name>Person In</field_name><field_name>Precious m</field_name><field_name>Semicond_1</field_name><field_name>Type of Co</field_name><field_name>Urban farm</field_name><field_name>Website</field_name><field_name>ferrous me</field_name><field_name>Field</field_name></DeleteField></workflow></operationSequence>" UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WorkspaceConnectionString>DATABASE=C:\Users\workstation 9\Documents\ArcGIS\Projects\Sustainable Space\Waste_Management_2</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>List_Of_Recycling_Hubs-point.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>HubImage</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> Sustain_Space Map_MIL1 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDgLVUC KZB84HAPSpJGDykqBgelM3govoBinRDcQF6dSTXO9zn1Ajc6sOT0xWhp1rudp5pNiryc9fpSabFC A8kv3cYBbgZpt3d+cfIt1BCnlj0pFWsriSutxeFkRooW4IU849aoRQG6v5DO7MF4BbuBWlBE+IvN nQgHPFE6qrEsmws2M+3rRew9zPWOMS7YAQPX1q3qMnlIAIVAcDLd62YbG3NvG0Cb8csx71iauWaV Q3T0pX1FJWRBHJHMqoEEeAAx9ea3kgmk2wWSS3MEabpWUDAFc6Iym7jOBV3S9UutOnkgV2iEqlSP XNUJN3LNvcXC3v3pJV4wijt9KuQaZez3E7Fmt4xzh+/1xT7S4aK3M0mEkAwjBcg1PeXN1LopWJ90 08m04HIFUrG1mkXNEsXmt/InmV2uJyyBWyAoqPxOXguYrWHKuMnIbp7mrdpbizEMqsEhtouTnngc 1zU141z59wCWlnbg9cChid07IZDBdan5U09wFaIna7rnNT3gu4HitzKrM5yZYRgbfersCGCxY4B4 CAD1q2pCRnZ+8UR7WBHFF2i7Iz4HWZhGHJ7AnjFWbqy8yIsNpAxhl6kis66lEFo2xdn1p2kXknzh 0ZlZdq4OBu7Urlc3Q0nWa4ukWW4MMKoCuwd++add3dpDpRDSTlWOFw+1nqil4EvktXUNJIcHJ+7X XjRLCe1j0+ZImuGHm+cT/qxjr/gKfLdicklZHISa1L9jSGKwgw6n5GJJYep571DYa3C1i6NZwxGN hhMHaSa1JtHbQ55bm8JkkYBY2ZeAD3rDvLZYw7pjBAY8d89afKha7nRnWJyqrEbOMY42oW6dawrz VUmuvLLTXs7fLsHyqo+gqOCRUKGRGMI8wtg4A2nNS+GTJeaxcXGl2YDyRkCRxlEP9aqyBtkt5Dda Zd211MGFrImJYA3AHY4qp4rt47PStMSO6MrNuHHQqDxmutNnZWttcSXMv2m7mj2yyyt8qcdq831r UpL25RN6+Tbjy4QvTA70nYiTstSmrBeoyT29KrSZBBAA7GgsQep+tK7eYdvPWpMR9vlm3Zxir2cs uMk5qKCHag44q9pRRNXty6BgHHB6GspasSWpoajo8L3dvpUJcMNryvu65xmuiuFtl0yEWdkiL9oW N2l4ztrm4ftt1e+YrqslxIEd84Kg9cV2NzaWlla2li0v2l0fBLHgk/zNXG9jrSVi3rc1vFarfvqM DXmNqeVgcfhXF3fiAgGC2UAH7zYyzH1JrU1qydVsLmO2SNctLhuM7cjBH1rnNFMza3IGjUs5JII4 GafqRPeyLmn6dc3ZaWZ440IyflOat2+kWltCwilMuGVmKL09RzW+IFtAXZUx1AHrVJkf7c0SxMN4 y/OAAKVi+SMVfqSqywrmJ5gx5wRgAe9SQpKkQC3zRg87cdKtWGnXeozT/ZbqOJFGCshzk1Tubh7C 4e3meFnTqdvtRYbl3MLTtNhksBIyFpG/ICs+8WKzuW2thQOAO/tWms50/RUUglpPmG30Nc9HbTXc 5Zh16AmpS1uzGWiSFur77TgkeXCDgRjoKltYRLMo+YpkH0FSpZwIm+ZtxVshR0PtQ12oV9oCnoNv FNvsRfuWLw24i2wkZU4wO9SQXaJbFHhLydAG6Vkx7j83c1IkojGXy2SBnNKxN9blua5mSLytxUL/ AAqcCq7GS6IYtz06VN9uiFu6mIHPGfSpbS6SBEUxrt3Bgzc/hinYej6lW9WOHYImfzAAXBGBTZbx ruXzZFDT8AtjHA6VNrN+dT1DznVI1VQDtGBj1qxZaXFJdQPHMsqOM/8A1qeoJNss2llLdwHmSNUy cL2yK19Ojhs0iiuFad3IZiSeB2qK8KadexQiTb5zBpEDdB6VLcXCwkTpE4jlGSx549valqdUVFPU 2dYaxaA2MU8aSzLjnoPrXJG2NtbpaecEdm5KjqKfEBcxedscmR+Gz27iieeRHZ/lPlnGD3+gq4xs ib3ZetmaFQNoYIcA4zzjilMjWKSLckCQgZCjpkd6qrfh5NssYUqmeDg+340ogu9Qczzt5cIGORyR Q0MS5EVzp6b1DSBv73b3qEzxQQKkWFGeD6N7VNDClzM8St5UKD5ndcUkltDgCRR5Y4RgO9JWYNXK iQWsl0zzqxZ/utmtrRNUTSb4xXe2eMkBCX+YH39eM1kXcDOFRR80fKt61Ths/NvMzswZuTntRrfQ VjuNQa4vruSS5lc2pH+jqQMoPX3NccsMj30oUh0Rsv5g4K1sf2peLbPpkZE7MM5xnb9K5HVNcurq 3W3AWFEJDhOC31q35EtpLU07nVNPjS7jjZAgYthctu3HkVHH4uFnpK6dYxeWij5nHBYn+lcqgJYr k4PX/P4UoB+bABFK5lzmjqGt3d/GFmfbCgzsXv8AWs4gsGbaevFMUEqS2MDpVjaZIFbn6CpZLbe5 AFYjkYHbJqa2UtNjsP1qDBLKBnNalrB5CHeuSaUnZABU5wBkVNZO8eqW7oCCsinI+tM3FQTx9Ki8 x9+5HKtnIxUE7M11eOPWTc3Fu88fneaAqkZ5PQV1l3r0NykE1jpoSSP5grDG0+tchqN8t69rcNL5 b7dkrR+oJ/pTIrlNJCsZpLnzm2jb2z61pG9jpT18jcvZtYvmN5cRsVTsPu8+gqnpdtIdeMlzC0II 4JO3mutXQNUjsw5kAHliVxvPAJqsXnCbxMuCwK+1K1mWqetxrOklvI0Tq7xZJHGaoy2jyzR3BuSn y/Mj9B2/GpTbXSSTygxt5q4K54pLm1lllyN5cHjB65/pmi5TXUv6bevpDKjOhLyK+7g4Xv1rN1aK 7vdVuLhZFZHYFTjtge1EL3Msrfacjy+csM8CrO+6YkrHFtJ+U46j1oFaLMf7TbSrHHlU8sDO49av x2FrsEqyqSR1HQVzV3EYgrjLKw59M0WuozQRmNGJFTbQxUkW9UCRMY0jXIGSfWsvb0wue9OkmeaZ 3kJx2yaAuTup2M5bj7e48ltrRqQ3BJ7Utw0GdoXcBgcdzTcB/lUbz6U7yxu2HI46Y6UXDoEUELgh sjHAHcmrVvpk0x3OMKOxqKzijmuoo5HO0dMjkmuptNtpMJJAZEbClW5oe5pTpqWpgarbwNCsiKAz fKccZre0Owt7TToIZQWbeNrqMFSaytWjE8+InCqnzYPQHNakGozi38pQzBF6r2PrVJtKxpyx5mU7 20EWrSmRwzFjgNyfap9TSU2kUUZHCBT9Md6mlnllcXz27K8gEe04I68tmnajLu8yMcfKc9x0pIDD tH/erC0hy33AnYVqy2t7g/uN5PAdgMqfWs/w3YzOjalNK6yBiIgeBj6Vr3txJswZMylcsEPJHtVX aFFPqULya10gq0ubm7647D61WsNVv7zUTKSFSJdyxY4NWdZ0mH7FbXqSMwfh+MkVI0TxRK1r+8yf lYpgikxtNMhjnGp3QEuY5UYsydAf/r1ovBuTyx/qG+YH0NZlpBfR3DXU9sHbpuzitJBPlvOIVT0U noMcVK3Lg9NSsAkczRyq25eFyasNYeXbx3Lyq+W2kDqpPTNTSxCVFkkA+ReOeTT4FhaNcoFcA5J5 /GruDVkZk0q6NYPcRPuu5DhX25A9TXD3ZLTN+83ksTuHQmu61eB/IZX3begXPQVx13HBuCxqQo7G kzCqZ4R8E5AH8qVW5KACpHgwpK8+1J5TtgKuDSMRmwFsHpnoKt26fuvmGA3FMSElsHrnmrJ3HCrw BSdwIItpm2BcAdKvBCEClvnqoYzHOH25GKbJKwkyWOT0AqWr7BYldRkkHJqSH7KlvI9zOIyPu/Ln NU/MZmAUEHqTUErSEjIxngVSQ46MY82952XcIi2VU1Z027+y3iTGJZFQg+W/Qmqka8lSM4PAqaJC SSce1VIbb6HpbeMxqOitFG4W6LL5igH7gPaobfzHHmG4QnLbUbjj6V59FI9u24MVYdcUov7iOfdF IYwRkgUjSNa256nYyW87mNCkjN8xUDkGl1GRvmIULJkoAny7SMD8q8603zJLyKc3MkZdhmTkAfjW rqWs3v26SHKyrGcFmHLe9BaqJq50LJL5TLcXSAEYIU5J/KkSVFjVVgLhRgNg1zyeKUijfzoAGJAX YBx+NaNv4lthCN07ZPJ4oLjOLMGV2ZBGHBANQrGxcngH60N0OfzpAT1FByXHPGCeOc9R6U7OAQo5 7ULwNwbrUe5skcZoDcWGV4Zc/rTWMks2QTknHXvUm3MW84PHPtVVvlOQTnNAtTettLltozdOhaSP BCH0q+2rxnbGIyXx8wPABrm4LuZZD+/c8dMnmrcIlmVpN4BJ5GO/ahm0ajWiLp0a51CVi9ynB+4D zit+2021jAihcrLj5+c5rIijFm1s1y0onJG0gcMP8K6VGtrWP7TLhN3Qk9ah3RcUguolFiIVOGAO 0H1rlbFLq9114bh3+zqNzBeATXT2rrqd00UMgRkOSzggEe1Zr2RsJ7h1kZMAjPJFaRuPzLN2DFBG 6REWe7azD19KxdRguVmW7gi2YPyndzV9rie50iy88hrfcSQF54PXirstwl1+5WUCNuqFOePekWlz IhsrlI9HuLa8fy5kHmIH43HrxTbLU0vDLIzmPLZCYyQKp6jZzahqVmVBdiwQBecL9Ks3Gg3FtA2o RTfIZ/J2hcFiOpxQtgb1Ls80OwCOUgcEZWmXATyxJGpdiSD3z70x2Z1VAQm04YMvSmQBbXe8AZyv Y9M4povm00FCbT5ky/IOpJ4Wm3LST20kllgshBwvU1gyXN3d3O2dsJndtxwa0Iorm0WK58zCv8wC DBFFzJyciy09xqFrDFNGFmz8zDuK5LU4BFdSADoxFdvZI4kaXAcnh0bj8q47WCZdQmyAuGx9KLam U9jKAIHNSr1pnI7U7vigxLFusZlCv3p1xbSQnJHB6Gq+3PQ1dFz+4jVl3sAevakXFJoijcqu0gfV qryLubeccntVqdGaNZHdcn+72qqTnjqO1CJdxqqAfSldVJwR0pwHGaQnJ570CImjUsGAGRUixKo9 6CAPelOe/FJ6iIJoCzDaKBbqg+fPPX3qxuLYA5JPapp7O5gTfNBKn+8uAKWttASb1NPwnZwz6uov 3xZxqWVGOMt2qz4qNtHrMwDq2759y9gegrMtdF1K8tftUEbPGO4bpVGLT7m9uzGiu8gOGyen1qr+ 7Y0TdrIqyx/aLuGJVLBnGQByautpdw8sjLC8S7jtT0FWx4Z1FJs+aIWBwCpz/KrI0K7iyj3EjMD1 3HmmtjSEXbVCSWaLCsoPDc8mqDYDHb0qUzlhtP3QMCmYPBxx2qbmTa6EJ+UAfypeGB9atAIA25RU DjOWGNtFxKwkW/lVJ2sORUkqIsYkjBB6fpVcZ3HkirLTLMscccZBA5OepplKSK4nUA4iBb1xSNev JIM4VfbirDr9mi4C7m/MVny8vx+lCVxPudXoglupFaZ/NC/cZucVumCX+0Y/NXzoNvpkK1cVpt3P ZEMj4A5weldFa61fQ2UsUURkaUg+ZnPFRzNM3ptNF2PUI11CZmLBtnloI+g+tZ13qhS1mjbfiUlD 75pkjbGCggSE72x696ddwfabSJy6xqHycnrQpNsuVrWRBJtjnhiSaRPLCgL2wTW4XxExEse0jpjB zWdK9kLlAjRu3GHkPIq2Zd8ZVYopcDJKdR71ZcEkiXQwT4osQ0ohKlirN90cd6t6rrSwuun4ViL1 pDIvcE1z+qTLBaI8K7nJIL5zj147Vd0mWK7hVri3LbsBCvUetHkRLV2RdupENzNsjLK5yCarQRSm Js25fALb/ar4ivbJAUhjkWRz5YkODj0NZ09zqMTNHJaSIj5QlTwPamF+hXtohaWwkntySpyr9RVa +vFkj8qLIYZOAOxqjqepX0O6yYPEvdW4rM85lUsHIOME560jKU0tEdA2szS2Q+VVmHAmXpiuYZnl kdzliTkmp7a4YSgM2Ebg+lPuljtSYyQcjOV4zVXM37xTKj73Wm/TpTomTeN4+XPIHepJ/KMmIuF9 6RA1WA6cVKXKLgAdc59alto4mjbftPBxmowAFXuueM0ikV2YmTHPPalTkmrEqouGP3vTFJ50bAjZ tz6UAyLGSRTQDk+tO4J46Ud8npQSNHHBoOT0p2zJ5p20qOnShiNDw8YxrcDyhMJlv3n3cj1roPF2 sR3NhFZwOGy5eRgOprj1WVSHVSOetaNnALueAStty2ST0IovpY0jqrHX+GMjw7KnPML49M1Ut7c2 s9s6RIob5WJ7k85NN1KK8ttKlSz8z5vu7F6iqcGswrcQwzBmfADZOQpobOiNo6M27o7l2Rykvuzk dqzPtIeSXOcq5GfX3qx+4WVmUyMzZ78YqCWwWSQuEdd3PXr70XLd3qjnobbMYkkz6gHgGppPKMAy NvcYqeSZJbeEE5K8YHpiqiKWAPXDcZFQ0ctl0INpcZJK56cU7aAckjjr6VPNkxfKuD61XLGRUjCj dmhEtJaIrEfO3PFOjla2JAwc889qRkZHZSMHOMVEwJNWSOuJ3lbL5IqvuGQO2eatEIY8Ny3tTI0j LqrZxuGfpQOOpqJPYLAgRHMo53ydMfSpYdTXfnO5eQF7D6Vn3FvHFM4gcsuM8j9KrxyMBtA+XrUt I152nY2ozBJguxDEHmug03R01Cxl+UkI24HNcpFcxsykrgjrXf6JdQR6fcL5oDleF9eKII0i+Y82 1Im11QLGcB+WXORXRaaN1nGzb9pHRBWJqVlLJe28mOSPmB7V0GkSSvYrG0gjVDgbR1qgp/EyTV/K XRiqphtvcYNYFjqU1tG3ln5ozkZPY1vaw261eMyhyCMnHUVk6Lp0V3dFZyBGcc5oFNPm0NHStamv LmOO43SCL5kAPTnNbhlla9kEvyxrC843dN3JxXFXkiWeqSGyZtkbYyO9LLrd9OjwPKRG/UHrQL2i SaZQuJpry5eeZy7sepqNvTFOzsJNI7bj1+tBzvV3GKmc44okDufmxgVITwMdaSTJpgmyIxHbuXpn AJpYmy33c+1PcHYx7AcCizgkmfCjIHJo6DLJRWC7VwPamy4KcEZ3dBTcEnC5wGpTFuQEcEmpBCSo SqjYcfXrUJIVjxge9WlSY4AO7HYVVmR0dlcYI7VSH0EVgc9KcWBGBUBGTmpl6dKQrC5wuCOakRs4 yeKiPJ5pVODntSYvQsHdNIwDHkZ9quaJIftsIKM+xiefu1mluwJBIrR0p0SCcTM68gR445qUaU9X qdfckSWhR12blJJz25rAs9LuoxEWWB0xkhhk9a2riRUhf7X8yLEBu9BVa31u3mxFG+zP+z2qjp0e 5ehtTJAY5W2gHgg/5wKZ9nmHCD5f98VPmLbuTe5PVccGkCRRDZ5UjY70GqaOHspyu48nH6VOZn3g gfpUOmSoilGHzE5NdDBc2qqTNsDMMDjpUt6nHDsZJgkkZROxCJ0PsarRSBHkVQMg8NWlNMJSYwyH 5twIqvHbyRu8hUBDyTSTFa5Qn2YLBj5h7YqptbPTJP61qSQo7GTfgCoGEO4+WSSPXpVJkOPcpAfv NuAc980rIiEYOfrUhTHzBsU4QZKtvGSMg07iSbJYPLeTDhgp7rxWzpmnW6pvnikPUgAdR61hbyxE UhUDsa6aw8y4tUAyAF4cnsO1B000r6lsabYRzJMm3B6xDqffOab5ccU0pj3n+IIpHH61ZZZfIjkE qjnnvTmR4y8iBWZgMjGc1VtDa1noZmo27TWjMbecS9mJ4Ue+M0tnI0FtHEsuwhcglAc1qs8ssTR+ UihgFJz0Az/jWfbReVDvDfMox8vakTy2ZQ1YuLSSQuDvA4xjvWUl01npWYyvmSNjPcAVqa75i2Ma kjbu/HvXMu58vbn5c8ChGNV2kOSRjklup5qV1YKZHHbAzUNu8YlXzAdoPOKsXVx5+ERNq9aGtTF7 FUEnqafx0IGaUwyCIOEJA71GvJzTFYkC+3FOcZGMdqbuOMelOYnFIRCcnrmpMtDhQ2CRztpThqa/ Jx3NFwHI5THXk1N54KBFHI7k1XIwMGmkrk9x2osNaF0XUkIyjYHuKpzTNNKzyEEseTilJzHnbxUW eCaEA0kcjmpVOVwKiONuSKeh7U2DHdfrS5CnrxThgNmkYBjx0qRXGs2DXS6YY9QtQGj2MpG4j+dc w3UsD0rqPD7uYSBJkSMAR24pI1pK8jSuo2nMkRfcuMEY7VjNod7DqCy7YkhDgrlhyP6Vq3EwhZfM basj8DPJxVl7mS4bcUDmNR3/AJ0zo5U2OeVISIhKzHg5XpRJIxfLJvPds1LI5+y5lMaqRjg8j0rB 1UPNcRuko/1YB575NK5pZJHOQHY/J9sjtWlLIsLKRlwwzlhWUvB3VZS42AKRuHvTaOBOwqXQ+1Rs VCAHnitWd2KRhc7O57VnTW8YxKPusOue9S2t0pURvjgYBapt2NINXswuxCkYZlbJ6Lms/JzxxWrc K80RTkxg5BxyazCM5Xp61USam4u4becmkY5wVJ68/SgBRhj0ppwF7HvQZrYkVVa8RcAjIzzXXaVI RZSBI1KqQoyc1ytsrwHfnavBPGatvqISRwu1l6rjj9KZvTko6nWmRWWM4VCWxs65FJKXiIKqCrHj Bxk1zUOtOWhDCJU3YIOSR71vDU3vrZFEsccYyFcLlgarQ2dVPYljUoWSWJ8SEYO7oaheGSGZ3eBx G+NrMcAmsY3l5YXYluhIQTwGOMmrNzrsE6o4R9wOWLNu/KpTWxHtU2ReJRIojVuT9fauXb7nNbOs X8d4CyFvvZGfpWVbxi4JVzg9RT2MZvmk2QrwVIB61bhCySHJA5z9aiCgOQecGj5lPCihkq6Lpklg ycDaOCpqi33iR0p5kkkQBixA7UqJhgSvynrxQW1cjD81L5gKjii7CCcmJQE7UxCO9IzasxS2Gxik fLDigryKKBFmOF7u3JG3MaHj1Aqoo5HpVqzuVgmHmfdzyKhcAFgCDjofWjyKvoMaVQpUfeNQkYOC etSFCaQwsFB2nAoEIVyKVQVGacOnNKFDLk9abAjL5PpUi4I571EflPNPzlaTCwvBbFaOnaqmmMjP GXVeduetZTjLEqDTpIZCcMjAnsRU9RxundGhqurLqYiVYzHtYnr60trJJFaySxSt/db5qyQwTBx9 RUqSSKGSIsQ4wVHekynOV7nSaa1xeQzXBBaNMKeehqGfSvMnZlnkUdhn2rUhtYrPTbeGFyN43yDd 0PpU6wQoi73dWIz2596DqjG61OJK49qkgaMt+9BIxxigDPHXNS21u0s2xCFZefmq2cdia2hM0yRE Yz90HvWkbCzicNIpG1eV7k1n/YLsESK4yD2PSpCt7DJumYMGHU85qC1puWo/3gl8o7doOAe1YpRh 97g55rRW4jiDMwyx42iqsokdDIVAOcjnnFOI52aIJlAULmhEHyDfhfpTpRvRWHUUITE+SAQRxTMi 1PGqQgySZO0bVHeqO4OAGAXHQ+tWLpgVRjnZ0DHjmqz7duAQWHcd6Buw1UZ2AIIB6Ma0tMknhuTb njcf4ux9aqWzs8yiQgAdM10lmVNlvdUxzglcn86Fua04c2xmalevqFwI7nh42IwO5pbG3RUdjGJY 88gdQKhvIg1/Iy42lupNbCIlno4d5FhbcQrIeXH+FStyY6vU5i6ADZUYTJxTXYRurRE4xyT61bvW DxYQKy7sA9Oav22m27aPJcMMsAVwfX1q4kqJjq0cmVP3uuaY4KkY6d6FhkcZRRihkkGRycHmgVhd zAHDdacCfJxz0yBTkjygIH6U5iE+RwTt6UXGiqxznmnInI5prEMx9KkjwWwabJHSL5b7TyevFN+9 0q5qUYWSORVUIyAAjvjrmqa5LDFTfQGhrIep796FGB61ZaJWTHRhz+FRSqiNhGyKaYBsZvmUD6Up lwpDA8jtTR1pCeORk5oAaBkccfWnAEADNGMnPejG44FAi5ZaS14PMMiAE4Ck8mus0Tw1b5aS4jU4 OAM/rXJ2AKTSgMR8hPBrobnxMLLS47O2jCTFMOR1z7mkaxtYr621nFqpgsrMOw44HcVSNtf3V0JG 8tHboAMn6VX06Ga/vSvmESOCD8wye/Fb+jT2y3CxM0qGI4Mu0nn8P8am5UFzGDPFaRSG2ni2nGd2 MEGpbJI7eWTEXbAY81oRaW99r0MmokNbvchXkDclSfStTWNLt9O1Ke3S3eODOMhs49D+VOz3KUbM zRkAOBlOpHfNQyGW6kaQKqrnADHkCpXt3ztgmJjz/GcH+XNYN5fqLqQIkvBwee9G5bnZD7QL52Gx kjjNWwyRvu2YbPWswEsQVByKvmKVrcSb9w7jHSiRzpGpETINqYy3OKqahPumRSuAowCe9UwbkPvj ZsEdarXMkrDbIxOD3qVHUpyRcukFuEmLK24HG3kCqiu8hIGemTUceGUhm4HOKnjYDKxglm6CmS7N 6kJJ6ZzUlsTLIPkHB71H0uChPB9q3rSOyTS3Qwv9qLgq56Y9KHoEYalIWwuAySLtAJO0dqqTWi25 KY3EDirN5LJbuFjJBbliRVaRQkm5XMgI6nqDRccmrFeGGWefy41y/tXT28LRW0MIGSQN3tXO2Mk8 d5mLAY+tdItwERZHDAY2gY6n2q4mlHuYV6rpcSOFOxmJBHQ1Pa2F5qzRxNJthXnntWyzWs9zGxKB IgMowzuPfp+FW7CZWsJHVwrMG3JsOR9KLWBQVzHtLC2hYo43MJNoLc+1XbsCy0GO3VP30/8AD9e4 qoLmJIfIizJPKy/KoyRzz+NaYktZdRRrgMtvHhUPp61V+gWXQw4dPa1iInQpJ5ZZc+tZUW1kLt/r Mkk1u+KdQklv1EXyxBcIB6VzqttQgjqMZqZIzk+g+GQZO9iMHNRzSb5CR0qLBDYxSjvRYi+lhAc8 inoORjrSKD2FWIYgVZycYovoIuXqCGwto2OZCTIR6AgYrODAHirt4WktreRjkqCmfUf5NU0QFuAf rUxtYqQolLAjoO9NwAKtSQReVvQHgfNVZ0KkZI554NNCsLjdgCmkYOD+lGMcjip5UjSNSGycfnTA hC5709VGCVPNKBGeA7D6jipdqQruDLIxHAHQe5qWAlvOyExQgFnwGYjn8K2V8PxpCXuS7O6ZjVPX 3rn45vImVwvKnP1rrrXxBBqKJGYSkwwGkJ4NNFxs9GM0zRI7dlkdt8hG4Mo5U+la8YRYzGCoA61m veRooCu5JbkIvSm28EUqyS+Y7ZbvkUG10tiSbyGiNrGWL7sip7HUYJNXjsLhZfMLYZpDwRVUGR5E QYVk4BAxkemauaZ9lgvLj+1LZikh4uO8XGOnpTt0C73OouLHSzIu6FfMx8hA61my6ToskhaVY2fu WXmotVsbnTrH7XY3RMGNwcfOuP6VixvPOglwbrdz5kbgfn70uW4OaORiAVxg45rUdpIoywJUNwag 1CKBYEMRxIMZp6sbi3UynAAweetQ+5jsNWdF4+bZkd6Zdot1cEW6fL0WlkjHAVeO/vTI52VdicbD 1xQvIV77kM8U1qAsg6j1qNZhwwQAirRia4fdM+4dRTZbXywJApCHmnfuDJJ4TJH58sa8jKlTio4b hhEVAAK9KI9hGdxKjtUETDzQCwUdzRuF10Fublp255I70qTILZkwfMPSq8hXdn3ro/BmnwXmr75g JEiQv5eeWPYCmo3EtWYMUNwZEaINuZgAAOTXURxszhZ5QJIzuKEYPStCVhFqMUjwIuxiQuMbarw2 6zaxcyckbl5Pc1SVtzaGmhHuae7K7VDoAR8uOlaFjK8NpeoI2BlGzzR0B6Vmrdvc6zPbJCPN37F5 6itZ47xI7XTzbkNI+8kH7wHNUizkhFd6PqRYLtcHGGHJU+ldNJZaVNd2jxGVLeWPMmein3rI8Y3X mahH5kZSVF2le4xWXYXF7cMsCSsqYwx7YqU0mZX5XY0ZILRry40wsHCkmGccge30rnpVMUrpkEKx Gauz3X2aVooWDAdXI5NUMkk7u5ptkTZG3XOOaaODzU+zA65xUZAycdelHQhB156VMW/c7E6nqKhz jtTx69KloC41xLJpaQHcwickD0BqnkjnpUsVzJEG2HG7rxUi3atxLCjZHXFJaFN3GRMsnysce+aT Ct8mWLe4pr28oQzKp8sHG6iJwGO89uDTC1tBrLt7Uws8knPJxxTmySec0oC5XHDDrTFsJsZWw2RS 7SM+mKcdxOSc0E5BNIGR7eK0tDheWdzEyiRVyAe9UNp2Zq1o9w1vqkDKM5baQPepaCL946Bbzygq vGI5C/zZHDVdt4HvbhreNkQAbi44AqjqQjNwQx2iP73YirukzWkkskjrIE8oLGOnme9aQ1R0bOxd treQzPahlkRzgFTgikuoZIhJFKpbB7jkexra0+witYjPJGdkq/KR1Wr97apIoWX5sqGEo6j6+1Fr FJ9GcVHJcw2kunwu5gnPMK9D9PSix8KWL2+W1U2zbiGideVNdLb2S6ZJLdNtlnH+rVecD1rBvLC3 ublppXZZG5YDPWgmUU2cmIlnkbf1Bxx2qIJJDNzkgHIBHBqWRmgmaReAx5ojm83I2msdTG2ugtxc zXRAEaKSOSoxU6+XGqr5SD1I70Q2zOhzxnpTkRI5GABbZ296LmtrbiTxIF3LkkdQD0proZrdAj4T HIPWl+1/ZrzzJowQP4fWqct/E8xKIyDsO1NLQTt0JxbF42yVVQOWrNIAHoKnkumeAqx6mqLZOPSn GJk7dBXAPIqzpt4bO7SVCVkB4YVRZ8HaadbjfOpyABzzV9Asd1ZXLaj500zea45ZsU1pJLaZ9sEz K7bvNXoM1j6HqLrcSxhBtkXDCu20yVXsipwfY+lJG9NmMIo2kSYDbOnSQHBpDrBt9RSR5WlaJdqm QdKjZHWKYx4bBIwe3eublk8yZ2/Om3YJOwmsXUl/q0kzsGLnrWlCYYNJbaWiBOHc8546Cs0RRxR+ ZncWGSf6VVZnfGSSoOcdqndmV9bjbh2JBGNh6dM/jSopZenNXLy6WaCFVijQZyQo5qq0mXbHyjmm HLcgZWDEcj3NR87j+daCxyNGCEzU1lZRTXO6Zf3cY3OOn4fnRzWJSYy40uW2sba6JVknGeP4fY1T xxjjNdCblZI40TaIxx5bHrVO+08CNbnYI1c8IO1SpFyhpoZK9Dk8elLtwMg5qSRASDn60kSqThzj 61V0Z7lhFc6ZtwzK78EHjPpUMKSudiIAwOM1bBmW2xCf3ZflR61NscSxwRna7cyEdqV7GtlYrLYt uIk+TnoRyfpVSVHS4YFSCvb0Faeds5UDcBzlj096X7dHaszSQRyl4zHkHnr3pJ3JsigFRo9zMM+l RbhjFKxEjEqu1T0HpTDu5HamJj2BKcdPSp9MKx6hAz/d3joOarbyBnFKkrBgy8EUNEq6dzpvEFxv mlxxwsQ3YyMnJrekEGleHVhHleZGF2sefmPpzXKaTpg1y5P2i78osx+Zume1XLzw5HAy28k09zcy Z27eFFUnZGru3c6TRvEBjIS4wwH8JPyn6elbhvY7e3e8RkZG+9Gx6ewrzT7Hc6LqkUNwjmM43ITn I9q1tWvLFrRFtrqdAWwQ4+7STLT0Nux162vZJLdR9nuTncJDw49j2rGlnxIRzxx96s6eGe4s0laJ VcJhXTq2O9XNN82Wxjfy3bPf1p8xUU+phTq5/wBZ8q56d6SFSg6jpwKKKjoRDdmhDPEYxliG9KZG 8MchTcxZm4GMmiipsU9bFHUNryt82TnoKprC8ibQvIGTRRVrYwYxonVc9R7VGMEY/KiimiWVpFJO asW1rI021DkYyT2Aooq3saJGlaPLFeRyLHiMjblhgGuu06QW0puZFzHGpbaxxn86KKlqxrDQyhef 8S+WYocsWOB6msSGPzEy/AbkgDn2oopS3sZt3YlxKiL5WwgjioPOZIGjxwxyaKKCJaMvpZqYzcqF 2wgNtLf5zUsy2ypFcyKjvKmSg9c0UUMosac0lwXjRIwq/wALHn8KsMIVilhUJ5pYbwQc4Hviiism FyrNJaQWm0xbn8wr5mDyB3pRfwXOnGDbK7r0IX+dFFUh9TOubRoxlSdrAZ44qqUwpZgSo4Ge5oop pkS0eg5NxUNkj0x0qyxl3NLECcjn2zRRQOOpGz5t3VwRIWBHFVAMtz19DRRTQpaC9Bims2emaKKY gBzjNWIo0aFpG552gA0UUDRoaZK9lcxRPwHJLcZIxXbWv2O5mhmubyXNsmTleoPNFFEjRGf4qeLV DE8UUiOqnymYhd3vyayJPB+pSaTLezSkNGN2wgnI9aKKnqOyuZOmaxJZg285JgPH+6fUVt6ZoeoX NmJbXVFWEsdo54ooq4pMhN7H/9k=