20230515 15490300 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/2.9.0'><WorkspaceConnectionString>DATABASE=C:\Users\MEvans\Downloads\IN_ASOS_locs</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>IN_ASOS_locs.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>URL</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> CalculateField IN_ASOS_locs URL "https://mesonet.agron.iastate.edu/sites/site.php?station=$feature.ID&network=IN_ASOS" Arcade # Text NO_ENFORCE_DOMAINS CalculateField IN_ASOS_locs URL "https://mesonet.agron.iastate.edu/sites/site.php?station=$feature.ID&network=IN_ASOS" Arcade # Text NO_ENFORCE_DOMAINS CalculateField IN_ASOS_locs URL "https://mesonet.agron.iastate.edu/sites/site.php?station="+!ID!+"&network=IN_ASOS" "Python 3" # Text NO_ENFORCE_DOMAINS 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/2.9.0'><WorkspaceConnectionString>DATABASE=C:\Users\MEvans\Downloads\IN_ASOS_locs</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>IN_ASOS_locs.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>FAAURL</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> CalculateField IN_ASOS_locs FAAURL "https://www.aviationweather.gov/metar/data?ids=K"+!ID!+"&format=decoded&hours=36&taf=on&layout=on" "Python 3" # Text NO_ENFORCE_DOMAINS Weather Climatology Mesonet Atmosphere FAA Conditions This dataset contains point features representing the locations of ASOS weather stations in Indiana. This data was downloaded in shapefile format from Iowa State University's Environmental Mesonet site on 5/19/2023 (https://mesonet.agron.iastate.edu/request/download.phtml). Fields for real-time condiiton webpages from the IEM and FAA were calculated by the ID field. ASOS Weather Station Network Stations 2023 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3H7fZ 4z9qg5/6aCpldZF3IwYeoOazYNJ0wpvisowG46EHrnv055q9BDHbQrDDEI41+6q9BUgS1CEWF2dI wFbk7Rzn+tS5P900E8cgigBqyI+MMM+nen8noPxqlfrJLFti+Unq/PA78dcVn/2RqOHKavPkqFGT nAA4/H37/wAmBugYFFZ9jbXdqZDcXMlzvC4BwAuPT61d3t/zyf8AMf40gH0N600Of+ebD8v8aa74 XGxueKAJaQ+lM8z1DD6KaYZQOgf3yjUASmNT1GTWXqLywxD7IiyTnBCMcAjIzz9M1oiZfRv++G/w qnPOgddzBRt43cfzq4fERU+EzludTLLnT0CnG7M4455PvxWjSblzjcM/WlBB6GupHIwooopiJrbh n9eP61YZN454+lQWw/1h9hU6A9Sc1yVH7x10vhQ1IVUc8n1p+0e/5mkIJGB604dKg0DGOh/OqV7P MCsUAxKWBBYfLgHJBPbIyOnerp9B1prKuM4GR0JoAxktteZ0JvrULj58J39uPpV+yN4toDe7fO3H O3GMVZYgkjAzTCx6UmxCEkjd0rMvm1fzv9BazEW3pNuyW/Dt0rUOfL3KoqCRtzdCKQ0ikG18EHzN OGc/KVfp2Oc9fb/IuxSyfYHa7MZmVGL7B8vfpVS6v4LHYZ5RGHzhiOOMd+3WqkWqWd08e25ysjBU QA/P9eK1hFNEylZnQwqUgjVjlgoBP4U/tUUL5hye3WsyabWyW+zQ2rozHaXJG0Z4788Y9Oalq240 76msDwM9aiadU4HzH2rNhutTeTZcwW6R9GaNySTVitYU76syqVbaIsfaj/c/WnLcqfvKR+tVaY8s cf3nA9s81o6cTNVZliaXzDgfd/nUVQ+czAeXEzZ7t8o/Xn9KRluicrJEg9Chb9ciqSSVkTK7d2XI 7VoLl3ifETnJjx39RVsHIyKKzb2C6uZGijle2UA4lXnOR6Z7e9cjdzrSsaRo59axk0a7xMH1m5cS IwGOCpIxuHPb8qjbQ9QYOp1y52FcLhcEc/WkM28fOPof6VH9yUjO1TytLbxPDDEkkpldV2lz1Y+t SkAggjINACDJHWlwex/OmQf6rvwSPyNSUAJk+lZ+pvcSR/ZrVnhmcblm2blXB6GtCg9vrQBitZ62 86uNSiVAclAnUenT/P6Vds4r2FpGvblJsgbdq4A9eP8APSrxGaikGATk8dKAEkYAfK+O/Hes69s4 rx0FyokVCGQHjB9eKtyn7oxgjrUTd/UU4NKWpM03HQyj4c0vaALcggYB8xjjj3NWrHTLTTUZbWLZ uxuJYkn8TUhvbZbjyDPGJcZ2Z57f4j86f9og/wCe0fP+0P8APcV1pRRyNye5JRRT4k3MeMgDNDdl cUVd2LMCbYh6nmpPugCjaKAAOgArkbu7nalZWKN5HeXAC2lz9nZTktsDBqppY64kar/ayFl45txy OPfrW0OrfWlpDM6zg1GKaQ3V4syYwFEYUg8d/wA/zq0zE4yc1MOC31pjLuPHNJgNCEgEcfU05UA5 4NCZ2kY/M04A45NCQDRyCDkfSqskRUdMj1q6OGP0qKdgEYHuP1p2uDdlczINLiu8XFyPNznar8hR k/8A6vwFW10u0VlIt4wV6HaOOc+nrzSWVyEtlRlOVJBx65qY3R3cL8v61ooT6Gcpw6knyQoATx6e tQPcM2QPlH60x38xy35fSmO6opZjgDvWsaaWrMZVG9Ii1WurkQp8rJv9G6fjT/3k3cxx/wDjx/wp 6xRqu0IuM56d/WtCLJbkMIknXMsqkA9IiQO3XvUyRRx52Iq564HWn4x0FPWMsM9P5mk5KO4Lmloh lSCCQjOUX2Y80qLsds5yOn5UyQsGxk1hKv0RrGkvtF3P1/KjcAeTj606msASM+tZHQHGOxFLgY44 oODwRnNNJVVyTwOpzTAU5xSMxXAAyT0Gaq3kjy20kVu53upUMhGU9x9KoppeotIHOrzKBjCiNTgY GRk5P60gNhBsRVJHv9adu9j+VZltpt/HJG82qyShSCyeWAG6en4/n+FalACc+n60hB4yT+FOpDyw oATB/vGoriUQxMz5xgcgVPTGUMcHkEdKAMCS/wBVbJXSg+AWB85QCM8D64PP0NWbaW7nikNxALdw cJ8wfPA5/Pj8Kv8AybiDxj9abISx47ccCkMzG0u2uBuuolmkwQSScc47dP4R25xUZ0KwMvmeU3LF mXeSGYjGT3PGR16E1Q8UXniOzubBNC06G5WSTFwZD9xe3fpyefatFdHu2ZpF1G5AZy2zjC5IyM/n +dbKrF7rUynh5xSlfR+f59i8XVWCllDHoCcZq3E8MSYMqZPX5hXDeO7K00a+sPGMgv5pLFliW2t5 Aqtkk7mPYc8468A129tImo6bFMY5I0uYQxR+GUMOh9DzUSq8zcTf6qqdONRO9/wfYjk1ewgCmS7i AZioIbIyOMZHeqyeJ9FmR3i1CGRE+8yZYDnGMjv7Vl+HfAmneHrCeySSS7hlcuftIDEZGDjjjpVR NP8AC3wy0FhctIba4uAC0yCV2YjpwvQAE/nWfM1qzb2UJNxptt3003Omj1rTZHCx3cbszYwvPOcf 4fmKuefGejZ+gqGCCyliiuIYISrDzI3EYHXnI44qtq87y2tzp1hqEFtq0tu7WwdhuB6BtvPGe+DV XMIxblYu+dGdzE5A74PFS1iaDZapZeGEt9avFvL9VcSTLyCMnAzgZ4x1Faxgj4+RP++aFqrhOKjJ pO9iQEDOSOtIZYweZFH40LGF6Kv5UuD7D8KCRhnjDfeyPUDNYMniK0MhMyyxHe6YKZxtOM8Z44ra uLcXI2OAyHgjpmpFjj8sRleBx81VGXK7kyjzKxjW1zHeK81pJnDYdWUgE/5FT/aY14lIib0Y/wAj 3q5NCsYypAB7GocHGSPxxXTGSaOaSs7NEJuUY7Yj5j+i9vr6UqxZYPKdzjp6L9Klpdp25ptpbiSb 0ihKFw/Q5Hciop0aWPy8KUb5ZMk/dPXGO9U/+Ees5Wfc1wSygEiQjp9OP6VlOrb4TSFLrI11ZVwE IA/vHvUqZKEng571jweHLJJ0k3TkxsHAaTIyDkcema21xtIrnu27s3SsQlT5sgLdVB+vWmGLdzuH 41YbhyR1K4phjzyWApNAyekPUfWjPsaMjIqhiHIz+lMiVWQOVGSSelSN0piDbIwHQjJ+tMB5A447 0bQTyBR3o/ipAGPrRg/3qWigBvPqTTSz5OF5Ap4+99KP4j9KYFXffKf9VER65I/z3qZPNZV8wKrY 5xUtNPLcUXFYRc54AxmlKgnGBilwPpSDOT/OkMi8tWkcdwABWbrsFrqmh3enNfva+fEU82JjuXnn 9eCPqK1VB82Tn0oSKMKcIvJOeOvNFl1GpSi1KO6Od0s2vhbwuLQ3lzqP2GF2Ziu53Ay2BnpwQAM+ lWfCviSPxToUWqQ2z26uzJskI6jjgjqK21RVBAUDPtSgBRgAAegpWs9NjR1OZNzV5N3v+ehzfhTW Nf1Vr/8AtvR104Qy7YSGJ8wc+vXGB83Q56Cp/Emo+GoRaWPiF7RluZP3MVwm8Fh36cdcZPrRqni3 TNH8Qafo10Z/tV/gRbIiVGTtGT7njjOO+KvajoemavNazX9nHPJaP5kDPn5GyDn9B+VT0sndmrsq iqTi4xe1v0v5l8DAAHArn7/wvpTeJI/FUsU7X1pCQqxnhsK38PdsHA59K6DB9TUF1ci3iLNjqAPx OP61TSe5hTqSg/de+nyMXwt4ptfF+iz31pbzQokjQssoHJxngj2IroB90H6Vj29jqCEbb5Ug3h/L EQGRuztz9OPy/GJNP15dm3V0ZG+8WhGV4HT9R+PtQr21Co4uTcFZdtzeznp+dG0d6rWMV3DAy3lw s8m8kOqbfl7DFWqZAh6iggHrQT8wpaAGGP8AEehpGXI5GfqM1JRQBEsag5C4zS+ShOSo47U/oaCc f4UAQPCN56gEcYqjeanBpkIlu3EaFtobHsT/AErTIJzzjjFVfsqi5MrgnIAx/DSAgj1mynuI4LeQ STOCVXaRkD3NaO7C4OA2OlIIYlOVjQH1CinMBg0wMu71KeC72pp808e0YeMg5yR/Lr9MVQm8Q3MM mw6HfscZO2PcB7ZFb7Da6HGMkjj6f/Wp6n5RyOlFgFDcc8fWg8n8KYyHODI3P0/wpqythgR844wD 3oAV3aM4K5UDJbNPjUgbj949aYse9QWckHnHapqAGgZY5NLj04NA6n60tACcjtmmSzJDE0jthVGT 9KeTiq9xbi6ULuZVUgnH8Xt9KAII9b0x49y3sJ7kbuR+HWrkUsc6JLE4dGGQynINRGztnYs1pAS2 ckoCTnr2qVVjiVURVRRwFAwBQA89gO9L0poGTmlwKAAnAoAwKQjp9aXA9BQAxP8AWSfUfyrn4NI1 2Px1c6nJqobRpIAkdlk5DADtjHXcc5zyBW+oAeQ4H3h/IVIQD9aTVy4VHC9uqsLRXNeLtI1zV7a0 TQ9X/s54pw8pJI3KPoD0Pboe9aurWd1faNdW1ndta3UkTLFOOqNjg/5/Ci710HyRtF8y1/D1LMtr bSzxTy28TyxH927ICyZ9D2qYsB3rg7258TeD/DejW6w/21OJCt7cuWISMHI57DBxuPpXVQeINHnR Hh1C3ZHXcrBxgj2pKSZVWlKCUr3Wtn6fkR+JNZm0LQLrU4bGS7eEDEKHBYkge/HNY+p6FbfELw3p s14bvTyStyqKQHUkdDn6/Xiunt721uwfs1xHLjGdjA4z0/lVjAxihxvvsFOt7NJwVpJ7/pYYiLGi oPugYGaI8+WuPQUpyGHcYNJH/qlI9BVGI7J7j8jQSegFG4D1/KkBHvz7UAL+FJz2GKdRQAmSQCB+ dGfY/lR0b60pOBQBmX7anLIo05oUCghxODgnIxgj8fzqsYvEZYMLiwHGCArYJOP5c4raxxTC7JgE gn8qLgR2YultUF40Zn53GMfL14x+FSSKXTHHsakHIprYU5oAUAgADBxSMcDnjPHFN809Mc02RHc5 HTFJvsK4kknzxqCNwPTPPQ0qMGBOAOe5xUDM8TEH1B9+uKsIgC/dJ+ooTAlP0zUDoWmXadrZ5Pt/ +up8c5qM4FyCTxsP8xTGSAYAHpS1mf8ACQaWo+a7VfUMCCPrV6GeK6hEsLh0bowoAk6GkOFyfWmN yDzx604A4GaAAcnJI46CnZHrS0UAICMdRTHAZlORwaqHUVUndFJtDsvC5+7SpqcErxBVk+dtoJXH OKALoIP1paQjNMeTy1LcsPpQA/q2fSlrImbWiZHszalSfkEwPHXnj8KhMniRd/7uxZVPBUMC3A6A n69x0oA2F+9L/vD+QqTPYcmqVi10Yf8ATPLFwTl/KU7R8o4GauBgOOR+FMDkdCn8Q681+ut2cmki GcpbvAxBkX8euMD5uM5rRGgZZrf+2r7agVhGs2GX3PfBx+h9a3sg+9c/beEbO18Z3XiVbi5NzcRe WYi/7scKMjv/AA9Pc1GqSW5u3TqSlJ+7pol3L11otvfaFNpN5JNcQTKUd3b5yCc9fbt9Kj0fwzpO h6XDp9paoYYskNKAzkkkkk4961DIhcx713jBK55Az1xT6dle5nzy5eS+m9jl/Cfg8eFZr911Ce7F 5MHAl/gA3YHU5PPX2rp9y7sbhn0zXPTeK9Ofxd/wi2Llb5oi4cRnb90nAP05z07ZzWd4c8BrpdrP Hqep3OoTvKzrKXZSqkdPvHnJY5/2jUxstI7G9aM5XqVnaTs1puu5fh0rXl8dz6lJq6tozQbI7IdQ cDqMY65Oc57dK6CHIjQf7IqlbaLZ2d2txCrhwGAy5I59qvQ/6lP90VaVjCdRztforD6QfdFDHCk+ lKBgCggaSQcdRSgg0d6MA9qAAnBFZkGqTS72fT50AQMOM59R0HNXJpGQlR6ZBrO/4SKyhOydnQgt k7c4xnnj6fWgDVik82FJNrJuUNtYYI9jTXUPIMHkdRWWfFGmLKUaSVSMdYm5OCcdPatSGSOVRJHy GAYH1BpMCWopGJfYvUipSR3OKhVDuBYknsaGAo/e44AxUuOMU0kggcDPtmmu+wcnn2o2EV5VLOSM 4TuTz1Bq2GBAOcfWqYdnhZxk8sf1/wDrVajJ2cgD6UIBclWI7GorlQwBLFQuCSDyBz0qbb3yajZQ 6/MODwc0xjVsrVV4toRnr8g/H+ZpyRLEixxRoiDooHApFYj923X+FvWpASen45oAiglM8kowNkbb Rjue9TkDIqtYo8dvtkXa+4kjjv8ASrABLHJpsS2HYwMVR1LUDZRAxxGeTILRofmC92xV3HufzqMQ RC5MwQeZt27sc49KQzIk165hhLto9wB0UZ6nOAOn+eKkg1a8lu1gl0yWIBsGQnK/UcdK2KT+L8KA DGetI3b25pcCmsMnHqKYD6KTFGKQES8Suf8Abx+gqQHJ6cetRgfM+Ou8fyFPy3ehgc94btPEsGo6 s+u3kM9tJNmyWMDKLk9eBjjbxz3rZunu0dPs8aOP4txxWXqvi/TNF13TtHu/PFxfnETLGSoJOBk+ 544z74reJqY22RtW521OUbX20sux5xDZR/8ACVat4h0+7S61NIGjntVuAUjYBcAgc/wnvgHNW/DP j2JoIbTxNLBp+rSuwWAAgEA8E9dueep5xWRpNlceFp/FWta5p62Vq83mJJAxczAs3AGTwSQecctz wOOmiHhG+0q08V3draxxCPdHcXEe0oMkYI9c5Hf2rOL6rQ7q0VrGSclok13tou3X1Ng6loaXTXJl tRcquwyFQHA9M4z+H+FXra9tr2IyW8okUHaSOxqGKx0y4Auora1lEo3CRUUhwcHOe/Y5q1Fbw26s sMSRhjuIRQMn14rY8x36i55HU/hTYWHkpz/CKp67pr6xod5p8d09q9xGUEyZynvwRUXhvS5NG8PW Wny3cl28CbTM/VuTjueAOPwpXd7FcseTmvrfb9TUZlA56dOlZs+vWVpM8M5dGQgZ25B+Xd2yelaT 8oeM8VVt7GOKERbAYx0Rvm7570yCGy1a1vJ9kTsWbsUIxx05Ht+laOPc0cj0pOvXj2oAr3VslwhU 8gjDfSnR2whVcEkAY69qnoHC4oATYP8AJprbVwMdajMrBtq8gVXkuZRIVJGPapc0hXLSM2/btAA9 qkJGRz3qKFmMfz/epxXAJXPNNPQBGm8pMyDr6Cq0k4kyV6gcUl3KxITtgGoYUJ+bJA9PWs3LWwmy zvIUqAOVxSLM4A/dv+BFFJRzMVy/TGG7kc1WstStNREn2aYOU4cYOR1/wq3njNalkLBvukkLnrS7 ipwVG71HQ09jlcjpUUpzAwzztyD6UgJEPys3engYqOMjYBngmpB096aAWk/jP0FHOfagdSaAFpB9 4mlqsLktdmBE3YGXbPT0phcnxk57dqXvgD3o+6v0pAevBzQA6kz+P0oxnr+VIzBELMcADJpAY/iA 3Y0PUjZ2v2qby22w55c7egx3rO8NWV/qPh63uNVW9sruUOJLdpm+Ucr0PQY5A7cV08alYlBGDTwQ elK2ty+ZcnLbW+/6HPT+F7Se8ilmurppIWLQsXBMZOPunGR0/Wt1jjpwO9NcENzzWNpHifSfEF3e 2+nyu8tlJ5coZCvtkZ7ZBH4VN7aCUZyi2ldL8DZnhgureSG5jjlicYdJFBVh6EHtWO1j4d8VaA+m x/ZrrTUcJstnwqFT0BXpj27fWtJ1WSNo2AKsCCD6Vxth4I1HQtX07/hHtRW00lJPNvbdiWaU5weo OcqAOTx1FJyb6XNsPytP3+VrVdv+H7Hb2VpBptjBZ2yCO3gjEca5ztUDAqrqeuaZpUtrBfX0FvLd PshWRsFz/nv7itKsrVPD+k6zc2dxqFklxLaPvgYkjYcg9jz0HBzVu9tDODg53qXt5bmkjdj1pkZ2 xA9etObB45/OqyyfuSoboxH6mmZlskcfnRyT6ViSXt+shaztRcRAA4L7c9c8k/Tt3604alrRRm/s ZTjOALgZPAx+p/Q0AbWAKCAar2UtzNbB7qAQSknKBs4/GpnOEJxmgA3/ADYHNMeUqpwO9RBxlj05 yKHOAcEktzUc2grjMncMKWz6UkduGfcT0qdVCZJz0/KkjAVQwPJpKPcViM+aCCMcHr61M8vG0E7j wSBnFIH3K2ACBwR6VFG7eWAMDJJP51S0HsMkjVnBLEgcAUuPl4HFPbn5uOabnjFZtkic1LHFvXJN R1MkyKuAppxt1BCA7RhQB9BipFkO35vzFYsSa75qebLZGPI3bVbPuBT7OLV1u4xcSwSW5Hzn+IHn kcDqccduetWijWLIvoadhHjKnGOhqPyyvKnkHpQ439QAaaAAGJAxgjliw4zS+aQwLL14JB4qAkDp kN61SvZ7kARWew3GA6rJ904Pf/P9KYzazwD60AYAFY7Sa0GbyreBhg7WZ8Hrxx9MfrWnb+c1uhuV VZsfMqnIFADLy6W3gyDl2+VAO7UtpC0MOGILsSzt6mpiAxAIBxzRntmn0FbW4EZwOpp1JwKNw9/y pDFpCARgjI9KMn0oyfQfnQBHFnbtP8DEZ9u1SAYzUURzI7c7SRjj2rA1fxfBpXirS9BeyuZZL8ZW aMDavOB9ehJ9Bg80m0ty6dOVR2gr9fuN2eWNGwWAJHc1Tt7DT7AXE9tBbW73B3SyIqpvbPBY9zk/ rU91AslwsjsNoGMetYniHw5aeLdKGmXM80EaTCVXhIzkAjHPGOaiW4U+Vy5ZOye5rmCUP8xxz2q8 PlUY5xUFvapZW0MEYZkiQIpY5OAMDJ71MGLBgVx6ZpxVjOyT0FIYnHQVVtWLo/mEkhyAaTVTe/2Z c/2Zs+3eUxg8z7u/HGayvDS61FoMA1wQtqGWMvlEc/MQM44zjHTFNvU05Pc57re1uv8AwxuSKSpy TjGKYqiSIAgdgRikwzLyxX0A5P40+NfLGOSetMzG+Qq7vKGCvpxmpYwGUP6880qj94TxUaxLnAZl HXANAybpjFNZiOCB+dMJZG5LOp7gcionkkZQSuFPQZ5obsDGjqePzqVD8xzjOARVfdngA59x0qC5 tkmCNJJKpUEBkcr+ePpUK5KL7zRBdpOD06U5zshDYycce5rnDaXG4qkcsy5GGNwQTgZz+easQaez RqsjXUbN95ROTjtnP0oUrgma7ICmEYg92xzSrHhGCc47k84oVAhCq3bvQzhcquOe9U33C4whduQe fSkpM0c1kIPYetQy3lrbyGOW5hjcdVZwDRc3C2sYdjkk4UZxk1lSaXc3TedJcFHfkqI1cD/voEj6 ZqrIDoT1oORS4+XOaQEBsnmmMernGDQ5GP6Conb5silDZwOKfN0HcGCnljjjrToIsJuYcn19O1Mc ZUjv2qwjiRcjP41URoRY1TJ55NLlwemR+tKOWNOpgN3Ko6jNAAGAPSnU0jBBGKAFoHU0c+1IQc54 oAdUUpz+6X7zg8+g7/zpZZGjiZgvI9egpIxtBZ3BZu+MUwJFwB6CkAUtnAyKQMDxkUwthmKqWIHA 9TSAJovMQ9MjkZrlPCuo+ILqO8OuabFZtHPtg2E/Mv8AgOOe/pVzwjr+q65p9zPqmjyabJHOUjR9 2XXrnBA6ZAz0NabkmQ59axk72kjWadLmpySv37enQuRzblywwaJAzAY/P0psLAnK4I6cU27GYWU/ xgjGevtWm6MQt7iGWLdBIswBKny2Bww4IJ9jT1jOfmwDkniuO8P+CbfQrSSCxvr+ESOztiRc5IA5 49s1sv4bVkUHU9RBXJBEuSDyMj06/pTWq1NKigpNQd0bDjy2yOBQzbvy60jARWyruZ9idTyxwP1N Z5i1OVxLb3MKxM4+SROVXnP1PTHalZmZqRHK0FQp5zmsArrdvGwl1OxR2HBYYAA4449SP8Oa111K y2gveW+c4/1o69P507DLYFVrh/mweAKljuIZQTFKjgHBKsDiq93tdc578Up7CewijJqRVweenSmx YMS85NPVlBK5OKhWEgbKSARqCGycE4GaIwd7FyucYHFIx/eocnGCR9aQ43ZzzVtjuL0G4Hn+VVb3 e0JjhLIz/IJFGdmR97Ht1qwTuOBxTD0xU3Fcy/7O1AEhNVZY/mIBiDEZ6ck5wKPsGqFuNYIGAOYF /OtLdsII5peCc4PWkIe0CMo85d20gj61XkmYOQDgDjpVgvuAFV5IgHPzjnmlLyBlwH5MjqajOQpw ecVKqE8YrGu9T2zNFBNbFVOGDsVIIJz29P5U2NlwzP04qwjBl3AYNYbX0gUESWrMAA/zkBW5PXBr Vsr2GdRHvi84AnbGcjAOKmIkXApZS3pTUGCSpw3v0NORwPpUZcLLsVSf9rNaXtqUTxShl5+Vsngm pM1GqKwOV5PccGoiTGRvJVgePRv/AK9W31GWqaTlgPTmmpKrrkH8KVHVz8vpRcB9FIDmkLqDgsM/ WgCOYb3jj3YBOWHqBUu4bd2Rj1qvIhlmJUArsKnPH6/jUvkrt9DnOR60wON0efxpd6hqj3k1jBbb 9tkpQcrzg8HI7ZB55PTFbUtt4gZJFS+tUzyriPkcfT1/lWwqKqFNoI6H3prI+Nqk7DwQ3OKSVtC6 k+eXNZL0IbV5ktlS8kjkmyQzxjC9Tj9MVAyh5ymcZOavyKPLxjiooYQgYKOCc1LV2ZiJEyEtGq9A CCfTvUE90nmKrq4CE8d81eAIxmoLmzjmBYfK/r609bDFg8tgHA+90qc8DgVXiURIq4OQMc1YHzc0 IBmWY88CnJkj0pQoU8DjvSYxnHX+dNAUJdMjubgyXirKgP7sEfd/yaY3h/TGMf8AokQVCSFUYBz1 rRIYhieuOB6UrDjK9aAKscFrZxyLbxrGT1IHWoIYmlY4wV70TyuzMhxjPapIB5XzdcjpWLfNIi92 SBPLTjoKVAGBJODTCST/AEoY4PQimA9lJHPBPSowcjpyODTwe+M1HIfnyo69QKBik+gobAxj8c0g +dcinbcYyaQiLluPSnSh1hHBIyCacF59T608cg5PbAoQECSK/UEAcHNSiFJlDlRz0+bHFC26FtvP zHJqdgFwu1iAOxq1HuUkR+aUbAqrcDdJuKj64qe5YQ2xkCs5B+6oyTVBb/eD/oV0FUZ+aPHp7+9R K+xLuSrGdw+XqeeKnwFBZVG71xVRNSDE/wChXmAcZ8rr/n+lW4HMqb9jLn+FhgikkIYkzKSCDipo pBJOTjGR3pcfSlXgU1dDLIIYdeaiuDuC5OAD1Pr0p0anOe1VdRthcKEkJEIwcp94NyO/GK13RYqQ Hy23EKVPXPFWFDRIOhzxxWRa6Bb/AGeRWmumWTA+eXOADnj396c/h/T3ypnugM8YmIAOMcH9aUYq 2gki9JPJnC5UCodzN8xYg02PTYrAO6STybzz5sm7HJPH51fhSNI0ZACSMFsdanlu9WFhttIcFGB4 PDY65qwTgZppGFOKTfg4P05q9hjh940p6VHvVTxSliy8KadwEOTw3AHSkjOG56UpHynLcVGMqe/5 1LETnB460g5A+vSo3kVAN5wD0pqt5rDaeM9ad9QuJfNOkaNborvuAIJ7dzVZLzUPlLWAAyN2JQT0 rQCjvyfWnfw8Uxmab2+89V+yARk43Bwccnn8sGr6FiNzHmmAg/eUE+9SLjAyOaSER3VwtvbvKwYg YGFGTzxWZNq0MnCmTOCwxGegGav31stzBhpZY9pyDG201mwacszkNcXG0HOfM9+n41M97CfYjivY HZSxlGcc+W3t7e9aW9Twp6VVnsUQ7Y5p1UnO0SHHf/HNJGDGqqCWwAMnqaz20EX0AZAMc+tDD2qN ZyVG4gY7VVk1SMSmGGNpJAduMYGeeM/gavR7DLvQcUmB9Kz4hes8cl1IqEHIgi5zwQQfboRVxVdm BkIA/uj+tAAyFwWXI75Bxupw5XPrUjcHI6VEwJO5OvpQwY/gLuJxipVjQIGPpnrUBR1AfhjngdBU L+YzlH5A5x2FCstxole6Ec527WGCevNMlF2z53Bc9gcUxYoyw2H5s9egq4YI3OZHZm9qavIWpHc2 0NzFtlBZQc4yRg1nfY7Rd6iMlW4OXY5H50UVnJiYq2FmzAeW4x0/eN/jUwQW8YgQttH945PXNFFK +gh0ILSqu7qavxx/NyOKKKuCKiT01lDZB6EUUVqUVWklXiQEDgFgPbrVpQAgAHGOlFFMCNl2Z29P 7p6U0JhMYweeB0FFFIGOEoJK9ccE0rx5XK8/WiiluJaibSBwKUsAOCc4oopPQBApPJ70jusY/eHC +poop2AxxNrzQsjaZbFjn5jNgYycceuMd6I7nWkyi6ZErIy9ZchlO7ODxyPl9etFFOyGW7e71Z7h VudPiih53Os24jrggY/zmryOeh4+tFFS3qIeVyQMCkOMj5uR2FFFXYGVbqUL8o5PTmktBg/MeuCK KKy+0SnqSTxhz8pAx1PWsqW8CTCKNDJITt4HyjjOc9+Ow9KKKJLUbGpa3E/7y6k28giJOi4II59c /wD1q0DII0baAByf8aKKXQCO3ZQTJIQCfzqyrq+NnzUUUovoArAIhaRgFXJJPAqIXZlfZbIHCn7x 4UUUVry6XE3Z2CRCSGYl8HOF4XNSQ2+9d7MCD2HQUUVKV2UiRETO4YJ9qCj5O04FFFOwH//Z