20220327 19030200 1.0 TRUE CreateFeatureclass C:\Users\apiece\Documents\ArcGIS\Projects\Runoff-Allocation\Runoff-Allocation.gdb 都市計畫使用分區_屏東縣 Polygon # No No "PROJCS["TWD_1997_TM_Taiwan",GEOGCS["GCS_TWD_1997",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",250000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",121.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]],VERTCS["EGM96_Geoid",VDATUM["EGM96_Geoid"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0]];-5372600 -10001100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # # UpdateSchema C:\Users\apiece\Documents\ArcGIS\Projects\Runoff-Allocation\Runoff-Allocation.gdb\都市計畫使用分區_屏東縣 <operationSequence><workflow><AlterField><field_name>OBJECTID</field_name><field_alias>OBJECTID</field_alias></AlterField></workflow><workflow><AlterField><field_name>SHAPE</field_name><field_alias>SHAPE</field_alias></AlterField></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/2.9.0'><WorkspaceConnectionString>DATABASE=C:\Users\apiece\Documents\ArcGIS\Projects\Runoff-Allocation\Runoff-Allocation.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>都市計畫使用分區_屏東縣</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>計畫區代碼</field_name><field_type>TEXT</field_type><field_length>5</field_length><field_alias>計畫區代碼</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>計畫區名稱</field_name><field_type>TEXT</field_type><field_length>254</field_length><field_alias>計畫區名稱</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>計畫案名稱</field_name><field_type>TEXT</field_type><field_length>200</field_length><field_alias>計畫案名稱</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>使用分區</field_name><field_type>TEXT</field_type><field_length>80</field_length><field_alias>使用分區</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>分區簡稱</field_name><field_type>TEXT</field_type><field_length>80</field_length><field_alias>分區簡稱</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>建蔽率</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_alias>建蔽率</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>容積率</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_alias>容積率</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>分區代碼</field_name><field_type>TEXT</field_type><field_length>6</field_length><field_alias>分區代碼</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>分區類別</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_alias>分區類別</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>分區次類別</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_alias>分區次類別</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>參考面積</field_name><field_type>TEXT</field_type><field_length>20</field_length><field_alias>參考面積</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>備註</field_name><field_type>TEXT</field_type><field_length>254</field_length><field_alias>備註</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>圖示文字</field_name><field_type>TEXT</field_type><field_length>80</field_length><field_alias>圖示文字</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>參考依據</field_name><field_type>TEXT</field_type><field_length>80</field_length><field_alias>參考依據</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>資料階段</field_name><field_type>TEXT</field_type><field_length>80</field_length><field_alias>資料階段</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>隸屬行政區</field_name><field_type>TEXT</field_type><field_length>80</field_length><field_alias>隸屬行政區</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> MatchLayerSymbologyToAStyle 屏東縣\都市計畫使用分區_屏東縣 $feature.分區類別 Favorites Urban landuse 屏東縣都市計畫使用分區 urbanPlan_屏東縣都市計畫使用分區 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD1pVCj AHFBbBwBk0tMU/KW7mp82URTTeUVyNzHjA7U6OFYgSo5bk02KFlZnkO5u3tUzHigBu7nHen49azl mujaNdqIwvOAeTwcUwXzeWry39vDkZ2umCP1ryJZ7gYtrn1Tton/AJF+zkXrm4Fum4qzc44FVhqt usHmzN5Q3bRv4yaryX8JQhtWtue4H/16wtbSxvLBkbU3mkQhkCnC5/yahZ5QqPlpRk3/AIWP2bNy TVdPmfa16hBGdoarVtfWbkCDLF+QVGc15tFFPj7OQJnJIUnjAHQZresDeWGjwxhzZ3VxzvcfKq9v xrCvm1WFNShy3btbX7/QIwvKz2OmudcsbOby5pfLJbad3GD70yHVdIRi/wBvhZj3L1x/i+K2ltFm E6yXJ4cq27J7H2rgC7CTaWOMdc1thMxq1afNOOvzX3HRTw8Z31PeE1jTpGCpeQljwAGq2WyMgE15 t8PbO0Pn391Im5MBQ5+7713ravp4O0XcP13CvWp1VKClLS5y1YqEuW5dDE9FoLlRkqfwpI5Y5UDI 6svqDQz4BKgsfatbokrrdR3Lvbqrg7ecjFVxpEQZSZJBg5+9U7faXJKqqD1700Wk/nPIZshgMD0o AtH/AGc0u5unApUBCAE5OKq3VmbiQMJnTjGFoSAbNYedOZfNYHGOKljtUW3ETnd7023g+xxuXmZ8 8/MelOt3kmYyNwnYGgBsTmBxC3T+E1ZIyMEZzUVzEJI885HPFOglEsQIPTg0APVQvAGBS5o60tAF W4edHUxplcc1XM125ULHx3IFWpfMd9g4HrT44hGmFoEMgMhiBkXa4J4qbORmq9xOyfJGMuelLFE0 UZZ2LHqRSfkMmxuGO1KAF6DAqFbyMj5jsPoabcyv5Q+zlWkJ4BPamBYBzTTNGDguufrUVsJyh8/A bPG2o3021kYlkJJOTzQBaDoRkMDmnbl9ajiiWCJY0GFXgUskqwpualqBHcG58vNuF3Z/i9KphtRI yVSrkMjTZLKVXt71bEL44U0WHexD97k/d/nQPX8qME9eB6UvajcQhPGe1MkJMbY/umnHrik45HtT EZ0P7rw1GWOAr5OfTeaxNT1D+07gxCICBemeh+tXb26S2tbuxlcBiQ8S+2R/XNc4lzMsDZVQSfT7 vOK+A+oVKNatOpC/vOz1srtO6/I673iihdObTe2zEe7AOfakimi5jkkIEiKVVWHBOOtTSwfaMK6h 1G4lScZ5rMSDddFpIipTA2qwwAOle5lroJSlUnKLs17u78vTTU5q9SUIr2e7f4GpFp8iTgNJhGcn dnpjtV+6Q3EQBZiYxgAn/PFZkV40V2oLFUYE4xgZ9ST+NX47iOGcXMShm4wu7IriVN1pqMpKNl10 vbpcbrUoxb5lZb+RkT6PJcXAjVjhM7gORj1+lU38LxQxJJNfoHJP7sLk5/OugGrQi9klltlJcEoi nAH1rPvYxfFmlBXzOcgdPcVMcRiPgcmlb7/InCVabpqpRd1ra/8AwSlb2LwvGlncPFNJxvPIb6Cu r07R7u2thFcX7S5OSwXBrL0qwmuJoyZAkSkhHUfMCO3NdDtv4M4KTr2HRvzrhzKdSEvZcy6P/LU8 vMavPV8zO0O6+w6zdhSzRBwGBOeOOa7wOpTePu4zn2ry+2uZtNvJ5rm2bMpI2ngY+tbVt4iEUA/0 wxjskuCBXtYDMvYR5K13HSzWvqdVOcoaWutNtTqW1a0I++ffj3xV5SGUEdCMiuW0/wAQxSrvuo4S hOA0f+FdEL23aESRyKynptOa9+hiaVdXpu50RnGWxLI4jjLkE47Core5E5bCMuPUU+N/OjDDgH1o KnoK3KHSRrKu1hkU5QFAAHAqJmMSF8Egdqhlu5Dt+zxhyfvAnpQBbOO9RRKFdlUYHWlty8kStMm1 +49KUf69vpSfQa6klFFFMQn1pu4McKc/0plzJ5cJI6ngU20iMUWW+83JoAmCKD059adRUU8vlrwM segoAWSKNvvICTWVPqFnY6pHBPNHGSvygnmk1HV10m3BlPnXUpxFCv3j/wDWrj0S4bxUbvUplaTy wSMfKmegFcOMxqoK0VzTtdIxq1lDRas9GjmjmQNFIrj1BzTsZNcjdz2cFqbnghjhcMRk0nhPVw/+ hyzFgzEIS2Tkev8ASuXA5xDFS5XBxe2vcijiPabqx2BOPrSLbiV9zdupPSlRctz09alZvlwBgV65 0ibo4vuLlvU1A0zbjkmpO2axZWupZWdGVVzgA0xGycUtMOD3pQOOtAx1NwKTjpk1m6xqT6fHGIUD vISBnoKipUjTi5zdkhN23JL7SLe/YO+VkAwHXriuP163GkXKJJNmORRtOOetWbzxFqEL/LPEyFcg xoeD6c1z39pXmq3xOpKrCIfKB1rz8Tj4V8NOjGTt29DZJ2tLb1LSshjPzkn5ucjuazzK1rA7P85U 4Y9OKjvLq2jkEZLJs5wAefaszULxZjGocpFIDgAZI+tceBy9tc017rdyqOEc5J3s/W50Ed1BcxuY nRmbCgZBxikjmj82W3VeR8u89AfauCWO4gBMbk87QVNdpp6PHaxCRcvj5y3eumeGpYbB1Uo80pNW fYwqZNDCznNyU1Ud3ddLbGkmjXNwsEtnNBJKTtMbON1RS6bqNrqP2SQjcqh3DEYA9qZqF8/2FFij KupG14wQVx1BI69qkRruW3FzJLI7RDad2MH8etedHDYiGHhVxE1GEm0k1d9NfToZXpQn7NRsoq9+ iRt6FbNNK9vFMiyxnzMEHGG4/pWvcQ3NkFeYpJGSAWT+GsbwezS6zds67SYlxz2ya6bU7MNp1x+8 biJsflXdUyvC4mjzPV2+LbbyMqmHpVU5fiYGtBTY78qHU7lyM5rjNQs2v7VkHCbgTJg55PT862tQ m8uYWxnZwEB2tgc1s2lr5djFAEBlmIyCPz/Svm8DWrYRKNLVzdv6uc9Byw0Iyjq5M5ax0iSYw28M chCHDbT1r0LRdGXTbbawLOxycnpWhaWcVnEscMargcnuanx6nNfX4XBexbnJ3kz0NXLme5FLKY4y QuR6KKLWZplYtE0eGx83eoms99ysnmuu052g8GrldyKEPpUD2oMqyIdpHXHep/4qWgBAc0xOZHb8 KjuFYYkU8r29adbOrxcHnvU9R9CakJAFIWwcUY9TzVMQm3PXmn9qqrKYZNkh+UngmrDSIoyzAD3N AC9BUM8kcMT3EuAkYJyaeHVz94cds1zHiDVoZoZ4PORYowQRnlz6Vz4nEQoQ55fLzZnVqKnG7OGv fEUl54ibUChZUbMa5x8tW9PvoNT1trq8LRRvwqFh+RrARVbyyuNwq3Z2X2u8uLhp4wgkwIx/SlxJ l+Hwk04XjNx+JP8AToeXgHLFRnWk7W0/pnYXENrcK4ZN1vH8kKKereo9e1JY6ULa5tbK34uZpBLI 4/gQdquWKRsDctgRJ8sQ7AetXvCwjuLm8vXB89yFUH+GMdPx618flNOWIxSi3otX5v8A4fViwqc6 nLfRanTDhAuegpjHink4pgyxJHSvuT2BQOKqyWQeQsGIz2FXB0qlPfrDM0ZHIoAfE4k3becHFS5Z RyBigDGcALn0ob7p55osMYWXPBrzjxt4kki1MW1kVbbHtcn+EnP9K7TxDqkeiaPLcnHmYxGD3Y9K 8ejSS+vDuOXlbcxP615+YVYxhySV7nRQw8a1+f4UaWiwTzQySXdyWi3fLGGIyfWtbT5LWB5tkYYl 9ueTjj1rIvJTYlY4GxuXnK5xWtaXdlbeFomQj7X5jSTZHHcD+lcTwkvqyxNa/JOSirdN7tr+tTzY 43nxkqHKopdb6sguIICGLSB35BJX3qqLW32oJLdd5b92VJ5+tWI5Vuo4nGSXOM9OafLex6DqEE4i S5dudsnIH0ooxqKhUlBP3Uutt+h2UYTqVW1Zx6dxi+F9rG7jh2Rx8ugbI/Wku7MwwSXa3QULwYy3 X6V0ln410m9dI7q1FvuOHP8ACB+Fcn4tiSDU0a3kSSzkBMLL/KvIw+NxVWsqc04/j+PVnXP27qRj LVbO/ReRpWs5ks0SFtxcZJI4zUly8QhGmeaiyv8AMSTjjv7Vz+neIjZxpbPAGVQQGHv3rQXT7fXL 9rizWaZkIZ0JxlfTrXt1sRTqUJwxd+ZfC3rbX5fiTytK0ldF3T7r+wdSt75ZS8UjeVKM5GP8mvQt QlM2iXUkILboGKkfSuTfSrL7CZPs0qxKTtXdnnHfmtXwpdybJtLny3kAMjHnKHt/OssoxntIeylf ra/9dDmnC2vc85kSeWJZb1n80Sr1BzgEelem6EoumF0o+RUCR5/n/SthrK1f71tCfrGKI/KgIiUK meigYrro5ZCnWVVu9r2+ZzypKVRTfToTfMOwpR6mjrVa6nmhKiGHzM9eelembFgdSTSPIEQsegpl uzvCryJsc9RUmM9enpQgGxSLINwP4VJVZrVd+9GK85OD1qV32LnuelDdtQQyR1MqxkgUyaQQfLEu XPYU2eJWjGf9Z1BpsckghYmPMi8AnvUrUbY+JzCv7xtztyBT4YmEhldjlu1Ngg582U5Y9M9qkmlR cAuBVCFuNoj3Mm/B6VSkkivJUgeGQc5z0FXo2Eqhh93tUlLcZm3lj5VncPaqTOUwAWNeZ31v5sEw aF/tDEMuOSMcHivWJ5vLIRRlm6VlyeHrSe4e5cMs7jBZWOPyrlxdCVWK5N079TGrByWm55FHAZSN ikqi73PsP/11r22kzAR+XE4gmkzuQEgL2rr08FWlnHcJb3jL5ww28A4HoM102nQJa6fDboyssaBc j2rozGUswxM6k1aNko/5/ec2Cw08PRdKT36nDXdhArRW8FxNHEwO8ZOAo69a6XwlFHb6L5odnWWQ srsOSOK2Ta28h+eCJs+qA09LaJFCqoVR0VRgD8K87A5Z9Um5c/Ma0aHsutxQQ2GY9egqRQSM4wKF RFOQOacTXqHQB4FczfSF7yRlPGa17+78pPLTl2447VTi0syxh3OGPajcGa3oaZKwRNx6A802SeOE DcepwKga683jyj5fcmi4zzHxvrL6lqwhTItYR8nHDHua5pGnjuo/KJVsgH8a9cubfTL1z5sCMhwM GMVW1PwfpLqJw0kT5HzDn6cVwzwrlN1NG2up0wrcsFTa69Opx8tpbzSLKZDuYfMrE8Y70oghO2NF xG33h2Petv8A4R29+ZrUxzopxz8h/SqM9tdWWA1nKn95mXj615mIpYycv3mq8tvuOWp7NN1WtfTU ovIsdt5SAK7P8i+lYmqvMbhUlIOOMiup0vT7O91VDLNHGkY3ZIxk/wCTU/iiDS4fDmy3SJpzcH7o G7HNcUMW4S9jFS97fTr0/BGWVR5Z+1pyfI76O97/AD2XlY4Quo6kUu5pI9pZvLHQZ6fSnQWkkxAj gJb0C12nh3wTNdAXGoqYoiOE/iNd+Hw05T2+89+viIKOruc/ofhe61radjJCOC57j2r0zS/DFnp8 GyEupIwWViCa04bSKwsvJtI1QKMKPeks/te4/aAoGBjbXrrDQtaep5c6jlqVZtICri3lYHOSrncr fUVm7bnSJZ7xkiRpmWJQOij/APWTXSCRJGKqwJHWsfXEM00EDANGQSFPQmuTG0qOHpyxMI2klujm rT5KbkUn1WZpWhOpxhxyRsGRU0WvWq3NvHeOqSNwrjkNXn39l30euBZrdmZmJGOhFWL7yo7sSTIs ax4AAPOc1wYXEVIU/auvzv8Alt07/eKFCSa5anM2tj0ebUjJc7LaeMrwPxrUUYUE9cc151pf2pEL W8Uu1jkSA8flW5Y32qC5jW9JEZfAKnrx3Fd1DNsPVnySdpdhLEQ5uRuzOrzxQOlM3+vFBcbck/hX qXRsI7BEzTBljuPU9Paq0rS3MuxB8vepg0VqArzAEDvUay1HsKY234qSSLdAyFyCRjI7UxnmUlht IPSkSaTJLxfjTWmxKRCbBhGubmT5Tk89alhtYfv/AH89zUySiVDkEduagtiUeRDnaDnJplFtQFGA MCmearOUU5YdfamTtIdqxjOep9KdDCsWT1Y9TTEDskeN7AZ7mlVhIMqQV9R3qO5t4rgL5q7tpyKk hhSCIRoMKO1HkBHNawyZLpkmnwwR26bI1wuc4qO7ZgY1UkFj2qwKAKzm7Fx+72eXkdetW/m9qRQM ZNKXAFAC9OppkjbY2b0GaAc8n8qivJBHbOW7jFAilaQm4meeT14rUCDHWse2uJ4URPsrMCeSDVlr 2ZWIFpIR60DSLZjQ4yoOPWkbqBjikgkEkStnPqaR9zbynUDj60IBSiZX5RT2Ckc4xVEJf/aVLSp5 e7OMc4q5IflxnqaEDGIuSQvC56jvUioBz1+tKMAYGKO1MRRudH0+8B+0WkTk9yvNVY/DOjhsiyjB 9cVo3N1HbKpkJwxwMUW06TxeYh4z3qeoyO10y1smJt4wnGOKtggnnrUT3MKHl/yqrJNfeadsKmPP DZoHuXiAzdOlAJJ2jrVe3kuDv85AoH8QNNSR558pkRr39aAJJbNHOV+Vh3FZ2rxmO1hm3FpInHzY 7E8/pWuew9aGRWUqwGDwQaivSjVpSpy2asZzjzxcX1OYvb2O0tzLjc2CVA71xv2R9TuWkETO4GXU NjAzXZav4d+0So0DboFyTFuwc+xqlpNommh/PVoppD0kGOO1fG1MHUy2m5Qi3Lv0t/w25w0+bBwb inzPr0sTaPOTaiCUBZY+NncDtVu6x5Ge4Ix9c1FcwkOLqDHmAc4/iFJFci7uImjjZ44zufHr6f59 K83B4eWJxUHT6u78ur/4Bw04OrVTj1/A6iMsY13DnAzVSUtc3IRPuL1YVYe4UKq5w7jgU3MdtH8x +ZvSv0d6ux74xXf7ThfuLwaS8iidC8qKx7D1p3mw2y5eQAdcsaawS8kUxurRqeQPWiwE0a7oVYrg 46VMrBhkUYAHtVWNzDcmNvuv92i1gLeKpT2zTPxK6L04q7TVGV+tDQ0xFBjUDqB3pxYAZppbZ16d qjCmQnkjIpegD1+Y5PWn5FVLW2kgOTK0nbmrJb1WmIa6B5kOTxStjn1oQ5LH8qrLNM1xtaAhcn5s 046g0SmUGTyx97FODMO9RbMXBYselSZq7CH+Zj0qpqLqzQKcnLjinyzBGAHeq0EbXFwJXHC9KGkD NDPQAYxSKpYZwacRhaVRNtG1Bismr7hexDbx+SpQtnByKlH3mH40EgSAj6UD/WHntVIbKyyXJnAM ahMnJz2qw+dy/jQW2t68UDOcnrQgY7PFQzT+TjjORVaSK3kuXJnYO/G3PSp0jFpbsBukxkjPU0BY S2mF1GzGLGDjDVKQvl4OMegqta3LzFw0DRADOT3q2MbRzUvcdrFUGNlJhhyfU1NGs2cykYPRR2qY ADkYxUYuIZJQiyKW9AabEiUqCpUjg9qaFWJPlGAO1P7e9JwF5pgNQ5Y8dqJVDRuCcDGKUfdHrTXA kTaejdaGCKhtLYsrBzvBB+9Vx4klXa6BgfUVXewhyH2kMpz1q0p45peQ2Zs2jQEEwM8J9FPFSw2q WNsI4QM9TnufWrbE4JAziqshLdax9jSpyc4RSbM4wipXSC2hyWmkOWzxntSrEzzmSUA4PyisW28T W6ajLZ3LBMcofYVW1LxJdiaFrOJFt5G2hpeM/hWcsbQpwUpy3CVSK17nUyQRXAw6Bh709Io4VIRQ o68VVsLxLqHn5ZU4dfSpp3cYWNSSe/pXRCcZxU4u6ZSlzK62JgQaRwMZwM9qihtjGSzuWY9akfYv U/hVMY/HFIo+XrVF9RKNIBCx2dMd6WC8aaQIYmUdcmgC5t3cmgfLwfwp9NbpRYAUcUj+goB2DDUq jqT3obvoBTS9QziEZ3EkDip3R2BA4PrUmFEn3RSl+CBjJpoGVTall/eOSakfCJxzimMzE8HP06VH 5jsGURHHT3NXdCI408yQMx96vxIETAHWoYUkYfOoUelWqTYIikkCuilcgnnFSG4iU4ETkeoqKVC0 qYXI7nNTDcowvAqGDKct7CkrRENuHoDTrecXSmSMHHTnipGVSx+UHHXjrRgRqWAwBycUbMYPGT35 9qhNsXyTIwzRb38FxMYoy27GeVNSRSko7MuApPSn1ARbSANv2DcD1qXG4E9qijnSfAXPIzyKkmH7 luccUnqAk2BBycZGKEUJEOeAOtVpzmGGPOST3q0y/umA9KYEUsnllZOTG3HFLHbQeaJUQbuxFMjd ZLI+bwBwe1TW7xshSNgdnBx2pATUx84z2FI7rGhZmwBTEuIp2Ko4baecUwIY79ZZdixvnOMkVaCk Nk1WhJa9k6hV9uKtnniiwEVwcQn/ABp0ePKX6UjqJUKMMimb0hjG5go6UANuJmX93GMuevtUaKI0 cu+doPJ9aelzbyPtR1L4pJURrKUyAEYJqXuNaI406dbRQXN9MqyS7mKlj0GaxI7/AO3FJIwz+Q2x Ym4GfX9K0dSaS7iS2g3FSCzAep5rK0rS/O1FYRuXy2LE8ggV8hCajz1q9pXvbyWq26HBSjFU5zm9 enkdYt3dxMl2lt5e0fPlwQRXVwGVkzIAp9q5S5ilgiMcbbkf5Qp6iutimR4t4PAHOa9Hh6TdCSve KegYFvkfYcRgZJNVJhcGVfLiUpnkk9qcuoWkmAtxH17sBVlXVxlWDD2Oa95NPY7kyIRAE8DpUuAF 6DpQOS1NLZXHemtgFXJUc0pH4mlAwMUD7xpoBNgI5o3beDUc9wsC88seAKId7pulGGpMCvcRXUkh McwReMDFWQo2j1pTktj86XyxjjinZBcQgKMKOTVaeyklk3JOyDbjA9fWrWNnPUU4EGiwJjVDIoXO 73pklxHCQJWC59TU2Kjkgjl5kQNj1osA1bqAup81cH3qOTUo0cqqqQO+4U42sHygRgVWbTrdmJ2/ rSB2LoGDj0FQXNw8LKqwtIGODjtVgHJJ9QKQunOGBpoDPW8dJtos2BJAyAKkjn8mNy6lsknC+wq4 CHXKciqsc8UCOHkUnPPHSlsMjivVmWXZE8ZAzkrUxbfY/McnHNTbFki+XHI60CJVj2kAjoc0aiZD HEJTE4b5VHSrJYYwBmo0VQcDGB6VL+FCuwK0W1/MiYDAPQ1LFAkeSq7d3Jx3qtc3kdrLs8pizDJK irRlRIfNclVxnmi2ox5RSMEZB9aiMKR5aNQpJ5x3pn9oWp4WUE/Q1OGWRVKnKnkGnYQyMLGuADz1 pxbPXgU4imsu4FTnBFGoEU04EZMLIXxwCetUw91K6pNDGUznrSz2cNuFeOIs/uT9adC7TyMs0ewA fLigdy15EKEyJGoYDGRWZrVzt0toEcq74UsBnb3q95DRgnzG2+hpZHtwu1/LPrkVlUTknFaaA1eN jDs7SG2i/d/MT1fqTUCxxx6y77QC0fJ+mK1E021nd2gldPZDkD8KjbR7VbsSTXEshVcben8q+P8A 9XcTzv31Z9dfyPI+oVbvUjtbe5ubj7XGFMa5VA386NQa9S08l9qeYcZT071sRXNtHGqJhVA4AHSq OvG3NgXdsMvKkEjFfSrDLDYN0qWjS38+53+z9nR5Y9jjTc3C6l5/liS3AOVAxxWzBd2U6b0maMgZ I3kYrNmkgfTPkkQmOTA55K1lLEsgljZQEI4CHk+1fJqHPrBuDXYxp0I4iF4e60dbp2rTWNqj3UjS xSk4PVl5x+IrYiWeeESQ3QbPcD3rjtKvIlvBFMxKxrtXPRDWumpwWszva3ChlGXjIOGFenhM4qUZ +xxKbXcUK9SlP2dRX8zq1GVGTk45pHkSLG5gM+pqo1+q28EwjY+aBwo6VExi1CYQyxSAr8+TwK+o TudyXUupGjyGXIbt1yKmpkMKQRhEGFFOJ7d6YAoySagjlb7S8bnnqKsAYGKieDdOsu7GOo9aBE1N K9wcVDdNcKq/Z1Uk9d1RWZvWZvtKqq4GMetFx2LJfHVlFCsHGQ+fpTPskZcscnPvT1RIEO0YHWgB CTuGDnFGG9BTbbzGVmcg5PH0qelqBASVjJHXbVddp8vIGH6/WrTD5ivYiqjII0VWf5lbPSgC3Eix x4UcVVmitkO6Uff/AJ1PHMsjsqg/L61XuraWcrslCLjHIzzQ9xotRFTGNjcVFdAyRGPkA9WU80LZ fIB5jD6VJFD5SsoYnPc07CKtkEh3KrSFicneatmePO3euc9M1ReynUljeFc8Zx70+O1s0fezKZBy TnqaWzGXlAJJI5pHCtGQ4BXuCKUHIBHQ1HcErAxGenamIjihtpPnSJMf7tWNoUYUYA6CoIi0VqCF ywXOPWokvZ2lCtasB/eoDcsSPIv3EzxTI5Jmb549ox1qwpGKDyDQAm3GD+dV7qI/LKnVe1Pju4ZJ RCG+fGcVMO6mkhlWW6jFssjN8uearPdWE5wQDnr8tWZDEkwQj5T2xxRKI4pI1WJDuPXFJa3HsQWt zZJ/qRjOO3WppMG+T0I6Yqd7dDGVUBT6gVk3MUkU3+suDznK9P51QtzXMUZz+7Xp6VyXibUZraBY Z4Y2LuAAvXbW/Y3LuyxskvAxuasvxjZIdNN8sYM0LA5xnjvWGKUnRko72In8LRk6VZ2+0xSQIdyB hlRkZzXL385tn2RuoPKnbnP+FdHb3k1veRPcyRvuXG2MdPSsSK2a53iYkIrZCgdPrXyOAdT2ru9J W9HujgwcZOo7PsVNNu1kgYucSbvnBJJat/TLtI1kzAkpdTGFcAkZ4FY9tp8FtdPNExOG+Xd61piX yLqO6ZU+T7x9RXo46jhXCpGMm5p6Lo/RnqzqQfM6Lu108zvdGkaXSYC4G8AggdsHFX9g9OfWs3QC H0uOUNkOWI+mTWmTgZr6Cjd0o8y1sjGLbimxpJQetG5VBZj9aUAk5I+lK6hlIYZFaFEP2y3MuzzV 3ZwB71PUAs4Awfyl3ZznHeobm4nhkKRws445oYFteeT+FOqvZzSTQ5kiMbA42mpi+GxQgY6q85Zm CDp3NTF8CmKNzEk0mIkThR2pfwNKijvk4qKe8kWZljGVHTApgD/KwNKyKSSQM4olGVpGfC7sUr2Y xVAHIAqrNdiMqgRn57fWpfOjZeZFGeKiiCiFypyAT3obGhTDMzFhMQDzj0qWGN492+Qtnp7VEkkp hDKob2zTo7k5YSIUwOtMRJNCk6bZBkVUOk2bNgx9atTXEcVu82QVUZrlr/VNRiWF/tKxiVsAbfu8 E1yYrG0sM4qo9Xt8jOdaNOyl1OlJljxHEg2qMAmpImlO7zVA54xXL6PrNzPfqJJ98bOI9h6g4OT+ ldIl7DNL5aNl+c1eHxMMRFyh00HTqKoronxuOOwp3P40AYFAPWuhFmYn2z7S0ZkX8BWipO3DdfWo 4VJnkkOeeBmpj3oQMrQ7RcvlMEdGIqYzRscK4LDsDUUxdmTYAR0aqwtIbdzIkOGJ4P1qWxosCHzY nOOScioU3yyRbtuU4PPNWLd2ZGXYVxxzUUenQxzeeud+SetC2sN6u5dJAFMLDcMc8U4KOtRPLtuE j2k5703ckrzXZ88RJIgPTGec0S2AuoZYbhy6SLtYdqn+xW5lMvlLvznOO9SrgE9adgZxmpRDSYgj RH90wZHRfvAf1rnBfwSXEyxzsSz5xjoK9J1OCK7t/s8ufnPy47GudtvB76ZPNNAUuTKMYk+XH868 DF5VGnFzw8W2+l1+BjCnGjzTim32OVngea5ESr5rYwADyTWi2k3U8trbXShIiyhmXncM9DVzR9Hv 4NQZWtyrgkBm+6Ae9dZbaVHE6yzOZZgeCeg+grmw2BxM6ybVore/X0Ry06E4YmdWG0t7/oWbOxi0 +AQ24IQdjU5IJX60rNjgdTSBO+fmr6jY9AfSHpTA2Dtzz6Gn49TQAtR8sSR26UTv5cDt6Co7Us0C FjnIzQBVWa93DfGAN3JAzxRJLdb5cICAfl960SuVIqHbhMmgTKPnXm6T91kDG33q/ASVywwe4pKI XLSuuOlIETHBBGSAfSogABgRHHuKmxyD6VGZ5ATg8e9DBjn+4fpTBgpz2FBfIx6dfpVWaG5eVmju NkeMbcd6GNDpLKFtjEEFeeDUYdo7NzFF5mWxtHFTW8UyE+ZNvyeKc08MQ2tIinPQmhjQyydmjYPC YcHAB71YKhzgjIpcbgOhFGCoyDxTEYOuQfNHBFI0av8AO59h/wDXrjbrVp7jI3LJJHKUVRxngjOK 6bxJfxNJbRpKFLsY2YnG0c1yV1bxLdObSRmSM/uyTnnvXz2JqU44+Xt480eWy8vNPucEryxSi43V vuF0nbbamlxFGHkUhTtOdvrmvU0giRtwQBs9a8y0lSkly8gwcbifU5FenhtwyB1rsyyopc8V0aOx WU5Rj5C/Smy7fKKs+zPGc0uCcZP5UPEjjDDIr1SylDb4k+W5d+c4Jqd4pJT877V9B3FOitYLf5kX bj3qXIYZ4IPehIGyNIxFHhegHej78iD0GaceR0piMF8xzn5fSpe6Q13JDjecnAxTlK4wDmqscyXb yRFHAC8kilt7CG2ctGXyRjk00gLK9SKrTRO10rqOQODUjTxQkCSRUPbccZpyypK37t1bjsaLiK8H 2xZT57IUx2GOaknWVwvlOFIPOR2pbm3jmQiRiFxg4OKI9nlqsTBlAxnOaYEMUVybgPJIDGB0A71b OQcg5qOORSzKM5FTAcUrBcpt8l8HxgEc5q1v3fdGaiubSO6XDg/gaSCFbYlV3YPPJzTvYCdVxyeT T+gpBRQBBcQeaNynDjoaLaR2UrIpDLxn1qVnVR8zAVGJ4nDYOdvWgAutn2dvMcIvqabayxSKFikV wnBINRyyW8qbJHUhui56062ihjz9nUKrckilcCeVisbbfvY4rPt5LzfGsijr82B2rSCgU3gSGjUB HODiq6PtuWXPJqSeYRruYHA9KiaVVZXWJmJ6kCgRbLqqZyNx6DNOGzAzIue/NZz3Mc6r+6cAH0p6 T2+3/Vv/AN80BZlxwNp4qvKzRI7KpbHYUUUOKY09Rkd2GRnliaIA4+bvUVxBASkjw79xHPpRRStq MvYKqNp4HSmTTGJASpIPHFFFUI4rXRp0pu4i4T5AhBODkkHIrl724bS7UmALsBCo3qfWiivmZtzx coyd05bdNkZ4GCninct6OUmKvdfOGQEE9m716jat5lpE/qoNFFehlkbOb9P1KcUqsiU8Ypc+1FFe uUV55NzCAA5brx2pWjIh8uNtp7GiikBWaG4gzJJOzjP3QKtwYIc4PJ/pRRUvdFX0Y/hWJx1qK7uH t0VkiaQk4wO1FFMSPOPG802oahaRgtC4yNgPNVbacR3sDSGaSOJQr5JBzj0oor53Mm/btX6fmZVY +092WyOhlYyQGWGDykxkPKTk/hmtjwrBOtpLPNIzCRvlB6fWiisuH7ynNyd7aHDgtZM0kdEvnO8A Ec88VcDF1ypG3saKK+oPSFw3rTRuySQDRRTEVJkujI5jkKg9BnpToI7uPb58u4AYPuaKKXkBIYAz FyMg9RUnlx+W2BgN1xRRTAqtYQsUOG+Tpk0sM8EJECN82SAKKKTethpEubo7uFHPFQGK8d8rKBxj BFFFJgi4E+UBufWnEDI9KKKHsAzBaXtgdsVLgeg/KiimJH//2Q==