20250627 16301300 1.0 TRUE CreateFeatureclass C:\Users\nitip\OneDrive\เอกสาร\ArcGIS\Projects\Dynamic\Dynamic.gdb accumulated_rainfall_24hrsSheet1_XYTableToPoint Point GPLYR_{FB49F7B8-F7C1-40E3-AE8E-2074D9DA180B} No No "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # 0 0 0 # DeleteField C:\Users\nitip\OneDrive\เอกสาร\ArcGIS\Projects\Dynamic\Dynamic.gdb\accumulated_rainfall_24hrsSheet1_XYTableToPoint Shape_Leng "Delete Fields" XYTableToPoint "ปริมาณฝน 24 ชม\accumulated_rainfall_24hrs - Sheet1.csv" C:\Users\nitip\OneDrive\เอกสาร\ArcGIS\Projects\Dynamic\Dynamic.gdb\accumulated_rainfall_24hrsSheet1_XYTableToPoint long lat # "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" 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/3.1.0'><WorkspaceConnectionString>DATABASE=C:\Users\nitip\OneDrive\เอกสาร\ArcGIS\Projects\Dynamic\Dynamic.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>accumulated_rainfall_24hrsSheet1_XYTableToPoint</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>nameEN</field_name><field_name>TAM_NAM_E</field_name><field_name>AMP_NAM_E</field_name><field_name>PROV_NAM_E</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/3.1.0'><WorkspaceConnectionString>DATABASE=C:\Users\nitip\OneDrive\เอกสาร\ArcGIS\Projects\Dynamic\Dynamic.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>accumulated_rainfall_24hrsSheet1_XYTableToPoint</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AssignDomainToField><field_name>RAINFALL24H</field_name><domain_name>rainfall24h</domain_name></AssignDomainToField></workflow></operationSequence> accumulated_rainfall_24hrs /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3miik 4YVICMM96YRjrjmgZ3ADmlf71Q+4hFX2py8D+dMD5G0UUCBk5yR+FFLgmgDBGRSAbtyaNoqTgDBp rEk9hT5QEViBkUgOeelKBgYFOC9yeKNwG0U6RkSMlmVQOpNUf7ShJJjWSRP76Llfzo5WOxbPSobq ITQujKM7Tio11Wx82NDcRq8uRGrcFsDnGaR9Vsj5xjnSR4W8t0U5IbAOPyNUoS3sLqFpBa3lpFL5 YDso3bGwc9wSOtPGlw9ZGllIBVd7fdGegxS2EEiGaSZQjSNkIvRRVsNz3NNspsz7nRNNv1jiu7KG dEYuBKu75vx/D8qTVtTbSoLeRbSSaJpQkrJ0hTBy59hivPdS1fVLbX18LXl5kX1yd1xHlmjEjKUU dMYI59m9q9J1HT4tS0y4sJmcRzxmNmU4IBrpnSdPl9o7p6/LuYxnzp8uj/U5bSvFq3wkWxQNHPOv kBFzIqsxDMy9AAR+tdhbW62sHloc8liT3JOTXBeHfhxP4d8URajDqW+0RWBjK4d9wxg9sZ5/AV6C Tk7aWJ9lGaVJ3RVNzcff3OCtvEdzDqw0S4a3stRkfz2wA0agPkpx3ZBn/wCv07a1vbfULKK6tn8y CVdyNjGa88+Ifhi4kurbWdJhkN2r5laMktkY2kL+GDXQ6Prtzf3FvBCtrNaxbobieFuBKvYDrjHO feta9KEqUZ0+u/k+v/AM6cpczjI6Igg8U7J4B4pwGWx0pWVQMHk151jawEAL602m4I6GkJIGDQ2A 4525FIqseaEYjgDnuaeTk0aAAUAZpGbuac/CjJqHrQ9AZJxjORRntTSu0DIzSqD1oAGY5HApCGZt vXFSEBSOBmmhcHJPJosAwAqcEc+lSIAFAJOaaOWLZyO1LT2AdvOMd6QHBpWXuKbQ7jFPWkJz1p2w 4pOOR1PYUWYhMU05H0pxQKOTk0gUA5xz60mgFDZOBSYY9T+FKODTwcgn0poBmAP4Rn6U5cHgimk5 NKOOcZouAq4B5pTx3+lNJzQvB5ouMp6kVdre3IU733le5C8/zxUb3NrBcw2bypFNKGKIeMhev5U+ 5ydRh+Z8LGWUY4JzWL4w0e51jQ2/s+GFtQC7FdsBth+8FY9Mj9Ca1pRjOahJ2T6k1G1G6K/iS1TV 9Gup9LRp9RspHhhPKlW4D7fU7TxWh4Osrm18N2f9p20cV/tPmEAbjzwSR3wBmpvD0N/beH7C11R1 a8ijCyspz06c9zjGT61ukZXirnVag6UdUno/66ExhrzCfezTHkjgRpJHVUAyzMcAD609VxWLr8+m lItK1B2RNQDoMHAAUbjk9qiEXKSX9eZcnZXHXOnaNNrlrfXENudRjUtG7H5sAdcd8Z69q2VZXQOj BlYZBByCK8Fu9Y1XS9TbUZ7TCTShQ00ZKvCBt2Kx6qVI5HXA5r2nRIza6LaQPLFKUjChoVwpHbA+ mK7MVhpUoRble+36/cY0avO3pY0vrUJkQSMNy/KNxXPIHrj8DWDfeLdO0vW5NN1DfaosKSC6l4iY s20Jn16H8+mK5nxE+unTbfWdO0u4tdWuG8ueONvNKojHaMDjDYB/Tua82pU5FdK5tWc6UOfluv8A Psd/G8OoWpaOQPDKpAdG7dOvrXMeFfCEPhm9u1huZLhW2sWcYCnsAPXHf3rpLUQ2GlxZhS3QKCY4 14UnkgAe5NFkCFnmZNgml3rnqRwOfyreFWpGDjfR2uJRulJ7lpuDkdaaTnrTmZQeRTM+grFjHYOM 0mM0m/PBOMetOxkZHP0osAoIHPemk55NBNNDjvSC4p5HIIHrikBApxkY8AAj2pCAwGBt96LAKBmn AEj5fzpqgjIAyPrQCVGATimrIBMepJpGHygA8ZwQKcWXbkZLegrLn0YXc5me7uYmL+YFiZQFOAM8 g/3R+tNBY1KU7QcbxWE/haMRts1C8EhYnc7BsA9sYH1+vNLb+GrK3jxJPdSu2Czs4yTgD09qVkhk T+MIIxcs9nciKGNXDKAxkJJGFxwTxkc81p6XqUeqLKyQTxLGdv71duT7fhg/iK0+BUTZznFNgQ3c 7RQbUI81jhR6f5/nU8QOwM2N5646ZqjGEmv2kw2YhtB3ZB/DsetXk6077IlasQnJrMdZpL2do5XQ oV25OVPHQj8asXOoRQo5RxJKBwigtz2zioIFk82adwgMmCyr6gYzn8vypbal7Ekd28Ugiuu+Asij hiex9KuFgucsB681WeOK6V0bdzgjDYwfaq8llCjgldxzuyeealtWuK6L7zRxjLyKoPqain1CGDMY zLMekUfLGqX2WBTxCmCCOnY9aswRRwxkgHrnPfmhSiF0I1xeYwLZUY45L5x9aii+1WwKxOsykfdl Jznuc/0qyGDcd6aCAwo5tdAuV1+0zpLcFNs5XbHG54X06e9YGmeJri/1iLQJJ0g1K2AkuWRQyTYz vjHoeQc+x9OerYDLDsDWZDoGmWusvq0NmBezKQ0oYnr146AnFdFKrSSlzrW2nr/kZzUm00a0SlnH HA61ZJCjJ6VFESF2lT+VVNUsU1TTprORpFSRcExttb14NYNtLTcuTai2ldkl3MyxvDbyxpdPGxjD n0749BkfnXIXtzL4ygvtGt7hLa8tkwzFcpNnAbB6gZBH0YVheHfEl9qniiSwvz9m1FX/AHEjx/dj GGeHB74HBPPWuvstQ8PWesapHaBBqMIU3SIPmYspYBc9ScHgd6zSqqcKqdlvbXps/vM6MnXi7LQr 2PgW2m8K2Gk6432yS0LFXjdl2gn7oPXGMD8K6yKKOGJIo0CpGoVFHQAcAVXtb5LrTre+8uSJZoll Ecq7XUEZww7EZ5FUIfEtrd2cFxZrLcGZwoiQfOql9hcr/dBB5rslOpU1eqv8k2XaMHbr/kYHxH0K y8U29hpM+srp1wJGuE3puVlVTuyMjGBkg57Gun0eeD7AYITMy2ZFsZJVwZCqj5vcHPWs7xlotzrO hSRWXkrecBWdRkr/ABKG/hz/APW71a8LWF9pvhqysdSmWa6ij2synIAydoz3wMDPtSdOHs+dP3r2 t+voP2tRvkfwrb5ly4fzLy2ilIWP744PzP2H86ukFwO1U79GQQyRhnMTbtmRyO9WopkljSVGyjDI NZsp7C7FUZ5JptSkg9DzVS6nW3hZ269APUnoKlrsKw9hz1o3HI5NVDPd45sxnHaUYp8V9ES6S4hk Tqrkcj1HtU8rFZlg8tQYz128VWTUoHl2K5BJwCVIU/Q1a81s9aGrbia7iHAAA6jrQC3GKU/N35oB AHWkBIpxwf0pr53YH400O2cA9TS9Kq+gxwTC00feNG8+vApueSRSAlAJznOKMD0/WmAtgc03JouF ydscUy4l8i2eTjIHGTjmpAcjNQXcC3CBGLBc84NaLuN7ENlD5VsufvMNzfWrRZViZmO0Acn0owoX C9qoX5yYEdj5LPhxj8QSfqKW8giraFazDC2B24H8Jxgle2ferTEIWXHJqQRPv2ngY4NKkQck5Gay d27ierIQAFGKcpA+tPli2c9aYFB5z9aVmhDWy7deKljibYxz+HrQ6BSuM81Ir7QQenWml3Aqc989 alVRkZyKcwErYUE8ZNcr411PVNKtraWzR0t0cPPPwcAMMLjPf9a1oUZVKihHdkzkoRcmdW6EBmPT +tRCuS8E65d+JJ9S1K6k2IrLAlsudqgZIP15x+B9q2NZ1ubQdlzNbB9NWN2nmDDcG/gUDPOTx+Pt V1MNKNX2f2v17EqonHm6G7A5ZiBnpUjZGSBzWXoN3Jf2hvDLFJDOTJbtGMYjONoP+161V8Uajd6N BFqqTKLW23GaEjJlJGEA9OTRChKVTkvr+vYtzSjzMefDulHXBrJtF+3j/lruPpjOM4zjjNcz4/8A B+seJrvSbjRbuC1a1n3yu3ysG+Xa+QOSuDwfWt7wrfjWNIGqiWRhdtvMTnIhYfKVX2yDW6v3gM4B pVVPn5JO9tPS3Q0pScGpQHzZBUE5wOteQzwXFr8UoILvVpUe5+TzLYYKBuUTnoOnTPWvX5MvggHP Q1C+mWT3aXr2kLXcKkRzMgLqPY/ifzrXD1/ZOSavdWM6sOdryL1FMDB0yvcVHAcMQevpWFzQJQJX 2ZPSs5obmGA28Eq+VyqHbhkHbGOK1XX5WK8Me9V1QbgS447A0m2hXK6Wcsah4biRT1Kt8wJ/HpSw RzSlbm9VQyD5Y1OQD6+9XlbfwVIxSSDChfU4pq4XK9w7oqqCBnJOBUSDdKvmKGB6bhmrNymRnHPt VVeCMnj+VZNtSJe5HcSxzypaRRyDEo3MIztGOTz0q6eD0qpYuVeaKQET7t7HBwwPTH4Cr4/Crl2K Yw5xmhU3Z9qcRmgdKkkYPvD61KoycGm7RjmpAOMd6pIaBkyDjGTUaqAxVvwqTOBjPIprpu5HWh90 MTGwnHWnbc84FICBjPWnDcqgYHSmgEVsZpHPPTHNSAg80xuW2jvzRYGB5XjiszUoJJI1k5aOP5ni HVx+daR4GKoX86tHLZojSTPGflUcY9z0FC3BblzcGRCFYDbxnrTIDuY5646U4A7UHoAMVEqslwMj OTkVDeoupPIm4FTUHkuDx+dTlsfeIGTgc0LJG0zRh1MiAFlB5APTI/A0+W4Fdw2ApI4oGTwP0qSd ON/HuBTFAyAKm2oEqRmN85yMc1Q13RbTXtMewuzII2IbMbYYEdx1rVIyg4GcVynjaebS9PTWbe4k Sa0DLHEPuuzjbk+uOv4V1UIydWMYuz6evQio0ou6uhNGt9F8O6bfWtjIzJays9xk7nL7c/jwO3oa 0NQ0yx8R6Sba63m3kAkXaSpHcGuBgsdT8QzaRrGltFbTF1uL5DIQVkJwWIP8LKOB6E+telH5W2k4 PpWmKi6c1OMry3fdNGdN8ys1oQ6TZ22jWEFjaIVt4F2qCcn1OfxNW5kt76Nre4hSaFxh0kAIP4Ux UZjgCpIguckYK9a4vaTcuZvU26WFtbK3sokgtYY4baMYREUBQPpTlAEmDxjpxTlkV2YDt0ps6kMr c89xVN31GTjAZfcYp55FRcNFnGSOfxqXrVooqbzDJ3I6VIBumV1HGMmoZhukPNPRzHDk9e1ZX1JC 4LOcKDgVGABtJzgVMziWI4JUjmmw4KA9+9D3AeJlWRlbIp8gyVHvmq8u0zBs8etTp87sWAIGAKuL 3QeQ5hkZ79Kpy7d+FHPep7h9m3H5VUU7pFzUTetgYkgEepxkAbpIiG9flPH8zVwZPtWdOJY5lmVd 7ICNhbGQf61agnjnTdGe+CDwQad7q4Mn3c4FOpqId3PFSBc96EgQED5R1BNN/wCWhHX8aU8Ec8g0 3Jds44HpTYEmNoOetIxIIOetMJwOvPpSrg4OcUXAeFAzk9aN3vTc5PPI/Wkpt9hjwPvYpiE72Jzx xinKwDN/dpoYgE9zRsIhurlbYB3y2TtUKOpqnaxujNK6gSyMWPrjPArReFJ7d45eUYYPb9aoWzbT Krl2KSlVJGOO1J/CPoXGO3J9OaihJklLNirH3gd1IqKn3RiotqTYyfEtobjSTPGsrzWbfaYUjP33 QEhT6isnwJcXt9pMl/qdq0eoNIYmmdNrSovKkj2yR+FdgANpP51HKCygIcEGuj2rVNwt8/0JcPe5 iFBIWbc3XsT1pVYE8DJ7elMZHBAbByassqrgsdqnt71zotD0AZQaw/E1iLvSWuLeBpruz/f2yBiP 3g6H3+netpGQZVW7cVzniLxA+j6S1/a2wvQlwsc6q4Gxd2HJPqP5kVtTk4yUlq0HJz+73MzwvaXu o+FJoNXEllqNyzQmc4WeWNehOeSQMjnsKg8Kahc6v4gu4NTtpw9kP9Eml4YKRtKt2LHaD+dYGqeL Y9VnN9Z3aS6dNutrUKpDpKMh93sVZcf7w6YNP8M67q895NHJYi7ubKIy2ruCrZ24K8Ebiy85Oehr eFWdSclKKSaun01drJ/oYzh7Oai91v8AmetKAqYC1TY/O3YE81x+neMdY1m5jjsLOPdbvsv4X4aM bzhhk91XHsTXS6XLeXkTve24gk8wgKDnK9j7Z9K561KVNqMtzRNSV0acMY81z+VOml2/KM5pRhc4 zVaWQtI31qG7IomWUhNv61OrKRgdKoxfNKoJq4CApHuf504u6GmVpgVcnvUqpm3+bB4qI8MVdj9T SwsEYgtwam+oiP5txABOfSje0R2jHvVmNdn51FcjMmR6c0mtLgRYzg9vSrkBymarxxMVJxg9asxd OOlXBAiKZF2biQP61WlIypUY46+tXWHY8iqByORUTExLmQJatMQcgcDHU060iWJGIIZ2O52xjJqv IPMu7cHoA5APTPH+fxq2oMeTuPNPZIfQuRkEE0oZFwAetMhPmR8nmnbFUg1a2GIeJOvY037oOKcV yN2eR1oK4Gc8UmIiOe9AY5pWyTntSBSagQ8HIpUHHTvUZYoDx0qRdoX5up5NUhoFGdw75o6GqR1D ybx0kicoFHzKM8n+nNXGkVRvLAL1yTxVNdR2FYk9TVFU2alOMYDBX6/hQdSR53SGJpAh2sy4x+Hr UcUk73b3EkSoSgUAHPQn/GlsncPU0Ep4GRnioI3ZsnGPpU/BAA4qUJApwemaaQS2enPShQSxNUG1 ixV7tPtCtJaf65F5YfKWwB3OAenoauMZS2Qm0ty9tBfJFRSbjIefaoo7kTJFcR7tkiB1DDBwRnp2 qw4jwW389cVDXQNytuXeyhgSoyRnkCvONdtNQXVkh0jT5L3QrlXadYmLpLv4cluxHGPTGfWqHi3V guoQ6rpT3dveXCSLPE+eUQhRlcdDj9Ke3iBE0QtpdvLa3ENpkInKN5hAkYr2x8v+Ar1KdH6u4c2r nok9r7O+vToczqczdumpseCfC2hRwz22lkXunrK5lluWzMkwwBtwAAu3PPfP5dB4Yg1WLVNRTULY paoV+zFudmOMIepG0D8h61B8O9Fi03w9FfBZ0nvlV5Vm424BAAGBx359a7RjgVxYqlFVfcekdPX+ mdUZSn7892czpHhOw8P6lf6jbPO0t1wVkYEKM5wMD19a17fPmHB4xzVpyNjAt+AqKFAMkD2rOpOU 5c0ndkqKjoiwq889MVUlC7jtFWgflwDjFQTBshu1TLYpkcXyyiraHOWx1PSqqBmkOOnc1Y6UR0BE NwMSDI7Uzyy3IB5qUxrIQ3JzU+FC4FK1wIUYhQG607auSSuSaYVINSL8vvQgRIAFXNEf+rX6UjHM bKDkkYxSg4j4rXoMYxyc1T2E5xyB3qeVygGB1qnNOI4yzscegBOfwFYvV2EQyNtu0LkFWXbGAOQe pz7cCpwx6ZyKgghIjWWZmMxB4YD5Qe1WVTOMdTSlvYGW4TiEcU8kEUiqVUJ2FOK4HXmtNbAMJ4x6 0gyV6A+lB6/SlTGcE49qQgUcYprZ3GnMwHTOfWgITz1pDExuYA/Umn4X1NNAIcg9TyKlCjFUkMzt QhUxifYpaM5JPHy9/wBKqfZIXjTZI7RED5S25WA6da1z0NY4dokW2GBOCFG4YDZ7j1o1toGttC4Q oX5f0pI1LnA5NRKziVoZNu9eRtOcj19qtWq4myccVlZ81mT1H2+QGUjBFWAcKTjJ9KjmO0kjGTUi kbeOTWkdNBoqbyZCx+8a43xT4e1fUNW0+60VoIHSYSSucKd46M394AZGPc+tdpcKobKnr1FMiYK+ T0q6daVKd4/jtqROCkrMmkQYDEc9zXFeNNTu/DoTWLadnDKLcWzL8mcli5OeuAR+Ndk7iTHoKrTJ E6osyJIjuF2sAefoaqlVUaqk43XVdwqR5lZHEL8P012eHWrfUrq3hurUsIpBudC6ngtnlfmPFdP4 R8JReGrMrJKtzeMSDPtwQnZR7cV0agRoBil3jGa2r4mdVKMndLbbT5hClCDutxTjHPSojKqsF6gm oZ3y5HWoRlWHHPpXI5mjZLLlpdqjn2q1FH5aAHk0ioQQxUFvXNEkyxRs75AUZxVKPUEh20DJOMe9 NbawHBOOgxWU1tqlw0D298kVsXaRtyZdlY5A5HGM1Clp4iWPYdUiZhjMjRD5umcAAY5z+H51VkM2 gmB1+Y9qZKdkf+0eMVl20WrQ6swuLkzWnlHDFVHz/LjoM9n9uR6Vr4yM9ahiEiTaAPSnEjJzQhw1 OPXAHPr6U0tAGk/JnHSmbfmAYZY/pTwoLEnn601UBmLgmkBIFIwM8elNlYIMnoeKkqlcyFuMcZ4q m7IGJLIHAA9apW6iad53C7lyqKy8r/8ArqwKbcxRR273UZdZUxnZ/H2AIrOGrFEfjaclcmpYWBbc VPHSo7fzHRBIQWwN20YFXwAEwB0ojELCbsjIHPpTC7dR0oJ79AaXIK9ck1dwGE4HFCg9SDmlClmG OoqUc59alK4WIyM0eYIxz+FGRnk0PtZW9hmhAMRS4aR/w9qs1BHKpQIeO1Sh1Awx5HBq47DREzAd qYUDSAhRu9aVjQMqQ1ZklGZHtrtm+Z0lI5x9046fSpoz3xyP1pdRhee1xHtZgysAxx0INR28qyxq 69GGacl1G+5aJMkWRwaWDLDO7gfpTY1ZIiSCD2qcALHwAM9hSXcEQzDL/KM5GTUBjYHG01d2dxSF SKHG4WKTAqcGvOdX8W6tpmpNZXjRW8s8q+UysG+zRk43HHUkYPP1x0r054g5znBrnJfC2jaj4rN/ dQebPEqnYxwpYYwSP4sflXVg5whKTnG6t+JjVhKVuVnSwI0FtFFJKZpEQK0jDBcgdT9acOTinsDn pSIDnpWDu2bkC5W4ZSOtSmLJDHtTXB3AjqDUqEk+1Sl0EhVbPakX5mLHBwcClcDYfSiMYTpjJJxW iKDADA9M0pOBmoppgny4z6+1IswcH8hnvSclsK44knrQp5+tPC/Lz1phHOBzU2AQg4/SpRhVxTQA MkngVXe5+f5Rke9O6ig2Jmk7Z69MUEBWCocE9apAnOR1qRndsEtzipUriuXScLms1m3OSevWpWkY xhATgDmo1QscAZpTdxN3EHNPnhV7CRHbaCpO7+6euaUr5Z2jBb19KS8fy7F/N+YuCqqoyWPoB3NK C1Gtx1iG+xxs5BdlBJFWOeFHc1FbiQW0Ql++FAb61MBxnOMVfUGMfGfpTV+8Key5Y8gUiDBz1qeo h4GGzmhiASeAKqG5uXd2jhRokYqfn+Y49BSKpv5VYrIlsoDYbKl29CPStOUuw1WuLvMkMqJDuwh2 7tw7mpYJGmjkik2CdCQyr3HY/iKtAgAADAHA9qiubcTbXjZklU/K6/yPtRo9A0K2SrfSrZw+Gz2q i8kquv2iAxls5ZTlc/X3q9EpEYBHNRZomzRHTwRgikH3abnBqREdzMYYDs2l2IVc9CTUtpbiCLaz 723FskdMntUd1F50JUEAnBBxnBHektLkyOYplxLHw3ofce1aLYpbFyQgLkngVGhDjIpLk4QEHvVW KTbJnHy+lTKWom9TQJ4+YECmZyeTTlcMBjoeled63rNxpviOLw5d3E1xBqcxLyoNrwpJ8qKh56Ec +xranSdRtRe2vy6kynyq56KdoHPNVrlnFvJ5JQTFSELDIDdiakkhAiUDJ2jHJ5NVyoB4rNtplM5L S/EtzqfiCLQZbnbeWGJJpoR8lyygh0wcYHI59jx0ruQNrDmsi103TrTU5dSjs4kvJhtkmUcn1rYB Gc561tUnTnJOCsrfj1JpppasGXPPemMTGCalqvOQzBB16msZaalseJA6jHciiWXZhR1NQDMJDEZX tToVMj+Y3XtS5nsFx6QkjMg5z0zUuAowBSg5OMUtUkBGFznOAKaRjJDH2qXAzmkZQwxRYCtLIQgX ueTUIRiMgcVYKBmIYZI708DArNq71EVNhB549qeAfxPpU8keRkcnvUAJTkdulO1gFmXAGBx3NIg8 uMuep4FWByOfxqvOTJKI07cVL01AZvVIXncHC84ApsazXV3HPInlxxA7AeS2R19qZfEpFFbKx3St tJA6DvVyFAiBF6KABVrRDWiJKUlQOOtPA6HioZCFHzsF9MnFGwhWOQTnAqs14o3CCOaUg4O1OB78 4z+FVri5W8jMFqDKwYF9vAwD0JrUt4khgSOMYVRgDOapJdSku5FaxeTZxoyhXAywHTceTVhPu0OM rQgIXmjqHUYfvGpF4UU0D56fSSEhrosiFHUMpGCD3qqdPUYEc06KBgKshxVyirGQDgcZyDSnDkHF JtY8/rSEMr9efasiRX5THT0qpOjxSfaowWwuJEHVh6j3FXMFhgmkGCuCPmFNAMRluIvlYMp6Y7VC 8DIwxzUbq9rMZoYtyt99FODnI5/KrEdxFMglBJU8H2IpOKeoNEkYbaM9RTJbWCWeKeWCN5os+XIy AsmeuD2qyNpUYIPpQRhapXWzHYjLHafpVQNhsmrLSKvy45qu471nITGA8nPQ1Zhc9OuO9VV/rUsJ 2yYPeknqJFwHqaiiTLMzDr1JqVWAwMUSHjbkc9c+lapXKGqquFBwcAcUkpEcZ2gjsDUcMg3twST3 psx3SKMn3FS2rCuTwElMls1LUeBj5aVM5NWn0GOJwKRc7iO1OopjGNy2AMkDn2o7Y24P1ox85IOD inA5HT60CImznHX3zTSVUZbFSyFUQnFUXZmOW/Ks5OwnoWA3mdOFHWkj8tWIQnPvTCwZQFBUDrTo 0O7eenakBV1CIM0KtjLzLgMM9OePyq6nQ1Sninnn8yOUq6AgcAj8jQl+Iv3dyPKlwThuA3Xoe/Sq 3Wg99i5NOltE0j5wOwGSfYCqUlm+pyI1yBHADxF1LDHf0+lPjSS7aO7kjCogzGhOTz3PpV2M7x6N 6VXw6D2CK1gg3eVEibjltoxk4x/IVKAAeKWk3rnGRn0pgJk7vanUUUARnh+KkpCAaWkkAUUUUwIQ 2B0NS4BFI20jmhO9SuwhpXHekClSScDNSHt9aUjIxTsFiFgMHFZtyrW0puFUtG3DqD09wPWtVRyR 2qG5hSWNo2AKsMEVO2oCRIU53HB7YqbcazobprTbDdtxkKkp/j+vvWjkFc4GaLWCxXnXjd36VCAT VmUFkNVyRj5etZtakiYKnmn9GBxx6Uw/MeKnjQPGf7w7U466ATo4lTI4qO4JyQM5wP61LGFVQo/U YproZA2MZzgVrZ21K6FeJ1GWbtxQykzAgHGetEkJUnAJ4zxQJWLKpHQ4471l5MRbVcdadSDoM0tb IoKKKKAGjk7u2OKAeT9aVfuj07U0fLuwOc0MQrDepHSq7wEcAZHrUzSbCARx3I7U4srHbnk8ipaT ApgENtAwO5pd5PyKepp8x+fYOg60QY8zkcnpUW6CJQcDHrTJreOUbZY1kU9mGan2jdmlzVpDGsBt 24/AUxgsS5Ck++aeSxGVA9s96geYlCCMHvTbsMVZlMmDjngZqxWWSfMDe9aYOQD61MJXEmLRRRVj CiiigAooooAQcgN3IpaKKAGnlwPxp1FFMCM8NgCh+RiiioEVZ7dLiIxSrlT+h9ag0m5d43glJMsD bWJHbtn1OKKKI7MFsaRwe/NV3h3HK8e1FFTIRDyuRUwKoF4Jbr7UUVMRImDExFm/CnKcZJ7nOKKK 26FAX9KaIwzhziiio6gS0UUVYwooooAaPl47dqDwQfXg0UUwGMmG3D6UwxALyTjqPY0UVkxB5XGC 2W7GlWBlcNuHFFFUkgJm2gZbH40m0EEdjRRT6jFHIFV5kwTgcEUUUS2BlZkII4OavxZ8tc9cUUVn DclD6KKK1KCiiigAooooA//Z