20230214 07413600 1.0 TRUE CreateFeatureclass H:\bv709\ArcGISPro\Ny_themu\Vastadir.gdb Vastadir_flakar Polygon # No No "PROJCS["ISN_1993_Lambert_1993",GEOGCS["GCS_ISN_1993",DATUM["D_Islands_Network_1993",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",500000.0],PARAMETER["Central_Meridian",-19.0],PARAMETER["Standard_Parallel_1",64.25],PARAMETER["Standard_Parallel_2",65.75],PARAMETER["Latitude_Of_Origin",65.0],UNIT["Meter",1.0]];-34541500 -31559400 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # "Vástaðir flákar" AddGlobalIDs H:\bv709\ArcGISPro\Ny_themu\Vastadir.gdb\Vastadir_flakar UpdateSchema H:\bv709\ArcGISPro\Ny_themu\Vastadir.gdb\Vastadir_flakar "<operationSequence><workflow><AddField><field_name>Radnumer</field_name><field_type>Short</field_type><field_alias>Raðnúmer</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>2</field_length></AddField></workflow><workflow><AddField><field_name>Stadsetning</field_name><field_type>TEXT</field_type><field_alias>Staðsetning</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>100</field_length></AddField></workflow><workflow><AddField><field_name>Lysing</field_name><field_type>TEXT</field_type><field_alias>Lýsing</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>500</field_length></AddField></workflow><workflow><AddField><field_name>Tilvisun</field_name><field_type>TEXT</field_type><field_alias>Tilvísun</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>100</field_length></AddField></workflow><workflow><AddField><field_name>Likur</field_name><field_type>Short</field_type><field_alias>Líkur</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>2</field_length></AddField></workflow><workflow><AddField><field_name>Afleidingar</field_name><field_type>Short</field_type><field_alias>Afleiðingar</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>2</field_length></AddField></workflow><workflow><AddField><field_name>Ahaetta</field_name><field_type>Long</field_type><field_alias>Áhætta</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>4</field_length></AddField></workflow><workflow><AddField><field_name>Hugsanleg_adgerd</field_name><field_type>TEXT</field_type><field_alias>Hugsanleg aðgerð</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>300</field_length></AddField></workflow><workflow><AddField><field_name>Umfang_kostnadar</field_name><field_type>TEXT</field_type><field_alias>Umfang kostnaðar</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>50</field_length></AddField></workflow><workflow><AddField><field_name>Stada_vastads</field_name><field_type>Short</field_type><field_alias>Staða vástaðs</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>2</field_length></AddField></workflow><workflow><AddField><field_name>Framkvaemt</field_name><field_type>Short</field_type><field_alias>Framkvæmt</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>2</field_length></AddField></workflow><workflow><AddField><field_name>Skjol</field_name><field_type>TEXT</field_type><field_alias>Skjöl (pdf)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>255</field_length></AddField></workflow></operationSequence>" UpdateSchema H:\bv709\ArcGISPro\Ny_themu\Vastadir.gdb\Vastadir_flakar <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/3.0.0'><WorkspaceConnectionString>DATABASE=H:\bv709\ArcGISPro\Ny_themu\Vastadir.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Vastadir_flakar</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AssignDomainToField><field_name>Stada_vastads</field_name><domain_name>Vastadir_Stada</domain_name></AssignDomainToField></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=H:\bv709\ArcGISPro\Ny_themu\Vastadir.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Vastadir_flakar</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" "<operationSequence><workflow><EnableAttachments /></workflow></operationSequence>" Server=sde; Service=sde:oracle$sde:oracle11g:rvkluk; User=rvk; Version=SDE.DEFAULT ArcSDE Connection Vastadir Vástaðir flákar SDE Vástaðir flákar úr RVK. UMFERD RVK notandi. Gögn úr SDE. Umbeðið af Höskuldi hjá Samgöngustjóra. Vástaðir flákar /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD1Giim ySJEheR1RR3Y4FevexxjqguJo7f95K6rGeG3HAquus6e+0JdIzO5jVQeWb0FV9T06bUfIiNzFA5l 3CGVVbzMc4wf6V5+NrwcORatlwi73ZdVXkDpHgqDnJ6/UVIi+UAFJ3HjeKbDdpIJkMTxPC/lsjLg MfVT3FWCpAGRjPY1y4XDU6iu5a9hybWgxT5QYHJU9PrT6McUV6tOmqd0tu3YzbCiiuDi+JMaXVyl 5pzpFGSqGJss5EhjAwwA5IPIOB3q3JR3BJvY7yiuNvPiJp9va+ZHa3LONrMjqARGdvz8EnHzYHqQ adJ8Q9NhtZLuS3uPJEcUigbd5Dhz03Y4CHjOaXtI9x8rOwork7nx1ZxiVYba4MkcixtvUAAnJXv3 AyPY1p+GfEUHibShewRSRgEK6v8A3toJx3xz1IGaakm7BZmzTXO1CfakeTCuR1QZOarRg3NwquTt PJ5xXHiMbGn7sdWCi2ydJgVJPFOEisPl5PpVYxKilDGASeuKckhgUEqCrcZ74/pXEsxqLRovkTLI I3Fc5I60tVA218qTjtmrQ5HvXfhMV7ZWe6IasBAZSD0NZ7WsiPwuRjORWjRWtfDwrL3hGSc7smlg TzLlRggDkmr32SMuWOTk9M1KsaJ91QK4aWAmppyeiC46iikY7RmvUbSV2AtFRJLuZiT8o/Sh5gpA HJNYLFUnHmuFmS0gZSSARx1qOVQCRJIM88J/U1TQPcyFIV+Tua5Z5ilK0VdD5WXnYblUnrzT6pNp brM1w90w3qF2FiVwM9B2NRCz1G4DPNcJEsUpMaxMf3iY6NRHMFd3iPkZpUhYL1OKpJPMbr7JsYze X5nTjbnHXp+FRt5n2giTIKnJB705ZjHSyE4tGiWA+tQs5kdVTJPfHSnRgzFWbhQadcT2+m2r3Ny8 ccKoWZz0A79OelcuIxcqr5Y6IpR6sfDEgRmxzj+I4FJNeR2rCMksSNxKkVTfU4rmPz7SQPE6Bo2V M8EZ71zf/CS2yhReyOtxtG/fCVOcegyB+dc0IuWkSnotDdWG7uPJlhu3ii8ve8UigE5A4J7EZNS/ ZILohZ3WVeDiYZXI9vrUguUkvBZeazyPEXHHy4zjk+ue1Vobm0lnm06S4WG62ZVSdrEEHkeuMZ4q fea3H1Me+kmn1m704WwsdQg3fY7oAFWVxwwB79QfTNaOkW4a6sLbVbCeS9tIvNiu5nD5Zvv8jjjO OfSrtrpRtdMitbq5ku5IlZVuJyN/Jzn1wOPwFZGnC/0q7uYp7oHSFUybpmJkiYn7q/7J6+vNVzJN pFLVXZp+IZ7mWSx0+zKGa4lzKwYBooh95gD1+laLpPboNv76EdVP3x+PeqcGn29qgkildo1UlXLE sQTngnrTotajbzRcgWyxN88sy7UYdiCTTjJqV1owvoTy3cKW52OHJ+bHTb/9eqVhqE9wVFzZS2wZ NytIRgnJGPy5qcwveMbxkjRFJ46ZHrVrzYWicyhVIH3XPBB4Az6VrHGVufmv/kLkjsFVH0rT5F2v Y2zDngxKepye3c81IyyWg+bLQjGc8lM/zHvUqSI5IR1YjqAc4r16NeFZab9jGUXEzovD+mxahPe/ Zg80yJGd/wAyqqnKhVPAAPPFJH4d0mO5uJ/sUTtcFS6uoZRtzjCngfebp6mtJ5EjGWYD6moTfW4O PM/IU51aUHaTSBKT2EOnWTZzaQHJBOYxyQMA/gOKkhtre1DeRBHEDjOxQucDA6egAFR/boOxY/RT TGuWuD5MCsC3ViMflWc8ZQirqSb8h8kmRNdrcySwQSgqhAkwc4aoJHtbXXY7UX032yW13G3blQue vTGasXdzbeH7dJRZy3HmzKreTHuO4/xH8qs3NslxayuszRO6lfOTHmA5z1rxJXk3KXU020Q0vLDl XAdB1Hp+H+FVLe7W8jW4tU3wP93PU8+hqe3vEvFwJRIqsUZivOV61JNGsUxMP7sjjA5H0rJorQZB KolKGFgexccA/SrShtzOx5Y5wKg8zz22lQkoHGOjUvnHaAOveuzB1KVNuU91sRNMsEgdaQEEZByK qlieppY5Chx/Ca7IZjGU7NWRHKWqKKRXVxlWDD1Br0iRaryShlwDxViq9wq54wD3rjx3N7J8r9Rr cbbzNBIAI98Z6gdvehpZjKVztwe3AqLzHZNoPyjrzTonLxuNx+UgjHbrn+leItrFuVyjqN7NHd2t vBayzRTMRNMnSIDpn68/lXQkQ2tukNvjLKCW9KqWgEUIZsM0gzz6dqpf2nHexC60jUIh5U5jljZM hiOqrn+lOO1ykrFqW2uJJ4j9oaJI38xtiht4HGKt/I8y5bGFwvORnpXPQ+IdUgWP+1dLMEbbi09u A6D5gFGOtbLz5VSpV88nj9KHoCasPlgkX50cOAeSP61V1WVYJbKIeWZ5pCNrPg7APmI9eccUQz3y rbt+4XLsJo8luO2D+Xaqt3FBpsVgkksjNuZEkl+dyxx1OP8AOKNEhmruQgRxYLryc9B7+5rMn/el xL+8B4O7kGoYIks41toC5RM5LNuP5mpVXcNxNJK7IcuxVmZxiCJMAjAIHH0qWGziMYLqGPqw5qwB hBzkjvUTwyFspMUHpjNaupyx5I6dwptRd2aIjjBOGEMhYKp7HOe1VrqeOFDK6GSaJtqtHHuds8cd 6mu7RbnyiQGMTiRM9mA4P6moI4PK1CaZvmmmXqSduR047da0xOHdKTaWg4yvoxljJc/aWXUrmBHn kxbWwIGAByOeSepqy0Vw8kzyRwkI4Ee0k70xkhqoy6K17qun6lqe0XVoCEjjb93k9Dg85xg/Wtu4 VBGdzkKB1ByPp7c81g0rFJsxbnVEW4t43L+XNIsexeuPp/XtV3UFWW2KMivvIG09DVBbBYPNuZEM odjJ+8wfLJGMr6CpLprSCayupiV8tto5OPmwOR37VvQqWpTT3E1qjRurS8v9GSFJRYXhIdtmHAx/ CemRUeq6dLdpBEqQvCW3XBcHsOCv4jNP/wCEg0vBM07LKH2eWVIbOdvTrjPGahvJNVmviEaBNNC8 rz5vTsemM4/Cs27IpooeH9P1LTYrhr25e4WSUukUj58sdgD6n0qK0ubO6a8ntbeezuxN5UoZNvmE dCM9sVHqA83RptOtJlvLmDD7ZJgXRieCcemeh9K0YtPlvNOWMXEy+XGEM5wXJHU8/lWb123BfgIv 2CwumeW+k865KhUmYckf3B17/wAqghuX/s65vbl1SKCWXJ8sj5QffrU39lm8Nre3uIGgViY32vjg c7u2MVOkh8oJlJ4iMlkIOVPr9amWm4blSx/01YdSjunezli+VAAAcnr657VauHtrK7tjNMy+dhUz n5mOMCpfsllO0NxsUG35jIH3cjGMdKYZ4n1A+Zt3bcqvBxz1xSajoCZFdaVcvazs15unWYyW7MSq oOm0gfexz1qpBeLLI8DExyqeY2fkgcbgPQnNaUmoq1jeSSRSItsWJZ+AwUZyO+PrXO6H5ep21trc 1uiXk0W1ipJwuTgCrauRKXQe/h6BopUS7vIxLcee5SXB91HoK37Cwt7GydYizgnP72Qsc98E1WBx wKi0v7Yv2mK/mjdGmLQeWuNidgfWlcUX0NHzrOaV7VFYTIiux7ruPHPrxTP9YWHHmL1x0YeopL/U DZzuPsrtGQAGUZw5IULgc9DnNF5b3CWPl2zJFcp8yu44Bzz+fSiUdTTpZkkjeWwCou0gHkZzUcih XIHTqPpUVvdm9sknZUWQZjkSN9wVh7/rTgSRz2qWSyzCSUIPaq9gArTKBgBsYC46VYgxtI96jtxt uLhc8bs/nX0mEd6C9DGW5ZqjcNl8HpV0kAEms6QkuWNcGYVU7U0CGlyeOFUdKbJDJcWFzbwz+S8i bRKFztyfSl3eoxUkBzIFx8rEA/TrXllx3NC3sxaQRQqjGOIbclicj3zzUElpZSXaqYIsJI0gIUD5 ueR71ZSU7Awd1xuPPzen0qosIkdmMi5ycZ4zVN9i2y4MRqISCyv90H+E1g2MN3Dful6LgiMybZMq IvL6gkD0IIzWnY6iknm+fa3FvKhwwmXj2KnvxVS8ka6u1nyx2o0fls3yMD1yO/Sm9Nx3S3LtraWq RRC1ABlYyEpyGzjmqly1zNqTYMJtI02rgHdvz1+mKbZ3tzFYqk0EKSBNpEQ4H0qK0totLEWnwRyM NhkDYJUc9CTUt9hPVEsYCqQQCc81J8oB4wTTYlyDwSxODVjYIGJbmT0P8P8A9etJSaSMkrkTQuig sMD69KaxRfvSqpPOCadIX6kctyM/zoWJMZK5J6k96xbfQuyW5fqnciRXDK5HoR2q5UF2Mxe2a9/G w5qL8jNOzILq1EOmxm8v2V4WVvPVtmRnjOPqBTxHJKSiHIGCRnr6VT0vVF1fSZJhBLBsZoilwgyS O49q0LHKWqxyS+Zc4+dyAA7evt9K8Jq7szfTcS4HARvl4BfP8qz5cI5i5KngHP3a05tvl/vWCEdC 38v8+tZyruiJYZLcnNVJpx5EtSVo7kq2emXdndag1udtwhE0joVkKj26jp2qGGJnt7vF5I0d3gxG JmXy48fLjPQ461Nb3b2/yEs6EHGOe3cVFNfW9vE0sr4RRk8ZwPpU+06Ip36FU6dpfhy3WW3gbzbq VYzMTlmLE8sSenrW3D5dtIweeZN0aoYTjYOSSw9z0qnDNaXUxEsfmwqA0YZNw3cH0+lQNFu1K4uZ DEzuAiMqkHZ1wffJoU0/evqNrlWxrzXluoSCVkInJVV6iTg5H8+tZGjW5sjPcSQoks7DKIeFVeFU e2P50kdhtiFtZyNbAtu3IN2Ocnr61Lq2lXNzcRXlvqE0DxoyCNcFDn+Jh3/Gndsm+mhcESyEFCw5 yR/X3rB1HSftmoi4guktb+MBEl6lkzllCn1qWxvdegvPJv7OCW1VSBdxOBzg9VPP/wCutE2X2iGK VTDFcq5fzXj3bVP3gPTjiptaSsPRrUpi6kW0u02LfyrIUaNPl2qeNpz14/nUd1bTtbW9vYypaGJ1 ziPOUHVcVpbIG1FpYJRI8QMTorZUHryPWmappsN5HA+6RJInEisjY2n09waezE1fQXbG+djKrL95 C3I9PzojdSpRyQM5DDsaqNATOskEcCzO4ErvkEqB0/lT5neKKRliZ2QZCDqfajRkbMWOI2eoQolt uiuJDJJOrcBsd/rWh58NwZo4pQ7xlVZV5wccg+nNRRuHsUBTazruYN1UntU0Kw+V5iRqu/7+1cZP TJ/Sl1saboybSSaLU7qxTTvKiJV1lUgKxPUkdjWn5cSjO9iWGQNv/wBeq80clxcyxQXDQyEIqyqA SMexqwqbkiBbpHyT9TSQSHW/8VMijZL6QksQ65GRxUsIALYYMPUVLX0GCdqEf66mEtyG43bcL3ps VqphIlDLLnIyOKllTemOhHIPoaY9s11beVHcTRSnBLxtgkA5I/pXnY2ny1b9y4K5FLaOJ1RVLbuR x0qpcX1tp11bR3UixmdiiA9W47VqLM0XyOCob1PAHtVKNvtt7BJcWSxtArNGsmHI5wD9TzXE7FKJ aae32BIpByOuenOalWNy6/NE4J61GphmklVIoZPLYo21QcH3/A0x4AWXyA0RP91sZ/DpS1K0DUQW mAEe3Axkd6phao3t9fw6qLe2iS5gGBLP5qjyznkEZzkDmmwXlxeRTrbqhuEG+NMnbImfvBunrx14 pu/YlxbZbuJEggkkcnCqTgDJ/KrVvdK8ayorFXTIyMHBFLBFLAZQ8UWxyBHJnJbjkHPTmkgjuIld Lny9wc7dmfu9s574qNVqO1loEQKyEnuQRRO7RyuzEk5zuNPY9xjjmmXEyGW1SRl5Y4Unr3xWt06d +qJS1sPghkdS7cueWZqds28E1In7wmR2+VTjj19BTJHLuW9ahWsKRYqOaPzEx37VJRX00oqScWQZ 0yPDESo3OM4X14pNJukudIjub9Tb3AUtMjfLtxnPXtxmr6xiZHDLu+bt1/Cqd3agb0ZQ8R4IPb2N fPTjFSaRtF6akUky3kgnXBjYArg5yOxpe1JEkcKBVX5QMADjFLlS3AwMHvmlGFne4PV3K096unqt wylsMVCgfeJ4A/Or32O5uWkmn8lVdVZIlH3OBlSe5z+lQEDGMce9Otr22kLw213FKQuXQNnHaodh JpoksnFvMyHJ38gk9P8APFOtr6C6nm066eBr+EbpI48napPByR1xj86px6ewZZ5bl5Zo5GkhbG0I CMYwOv41Oi25vReFCL1U8rGcBwfX1x60k1HRlJt7DraO6FzOVi2orbY97A7x6j8aty3Kq2y4hZAB jnofoaxvFS3b6KLe2t5ZldwJzDJtkjQclh6nj0NTCG41KxtPtSG2s3g/fxsxLdBjLZ4xjmny2V0O 92WpWEzRQIMA8n/P5VV022nttkfmwHzJne4Y7sMCcjbk/L2qC4uIUnR0cxrNKEj2DI5zjp2p6yo0 8tqzLMUUeYF6gEd6iMmtWgfkbkSIsT+VGhblwQPvA9frUYxuaMjOB0Hp3H4VXtbnZc2cFpEqwoMM c4CAD0681ZKyEo27nfw3XA9c1d77CM6/C2geWRtqIMscdqldkMEdw0ibCgJkzgGmOk11fIqyKLcB sxFMliegzT/IjfNtcoGhP8DDj8RU3sKyZJa2u26N28rESKBHEzDaMdwPU1TOnvNdSpLdzhGdnEan AwRgrx1FTiLHlNqK232hGdrfbnA+mevFR2T3lxe3IubcQxxviGQOG80EdcdqrVbDJLGGCzv/ALJC QEh2KFLZIHvVgXC7CFAVxwMc8c1W0/S7SHXb28WEGeUIWYsTuwOOM+lWrnbGoChcKeCBjOetOEHL rpqEnbVhbnO4d6nqATKE3jO3pipPNTaG3DDdPevdoOFOmoc2xhuHmpvKE4b0piCW3LbDvVs8E421 SlJmuQVBHOK0ym0HB3AccHNcvtqeIk4T6bMqzWqIbuSP7IICGLyqVUIcEZGM57VjaJpN34ZtJ43e W/hGwwjP77n72c9u4x71Ziiubi9uC3lqkbBYgCc9Oc/jVt7uRZ7e3aBiXB3yA4UYxjr6/wBK4HTm lzWvE0ur2LaLsuZHVAoc7mZAMZ45P4Csy1sntbu3+x+Z5Cho5A8xIUH5twB6tkEZzxWhdeYbKWOF iksoKISOh9f5Vk/2cbm102O8MjXVoyyM0Mh+dgMc+vrUXsMlOn2VpLLLbWywPPIXlI/jJ7n860Hi jhiRok2jGNo4x9B6VHqEo2xpkCTO5gPfpTDPJIoVmJAHfpUvzIZNe6TaajaQx3qu+xt6hXKkH8Ov WoJbdbWZ5RNI5ncuwc52jAAA9BU8d4VAEiBwOlVZZDKxZzkmiTTViuYeehqO3tI7q8WaSLeLcgqx HIb2/OovtASFgc5HAP8AKpNMR7WzjhlmebOSzv1JJJz+GaUJaA1Ybbz6cJbqGykRpUlJuEVidsh6 5z9O1SFuajuVis2DC2YyTyjc8Uec543MR2HrVB9VPmOttp95eRqdvnW0RdCe4BHpVNOWqJ5W2dFR TUdZEDqcg9KdX0xkV93kOQ2Sj859DU6IZULhwzdAVHb3FLVO7hmETvayiGXsxGQPwrysTg7XnD7i 4y6MZdKqShVwHx82OgqIYJ+b06ighidztuY/eYDGTSDJcnGM1wRlqkik9QOcZ6iq2mSC4ha4fTTY yuSDG4G4j1yPXrVmMFmwvUnFW5ocBGDbjtwSBxxxUu1tBW7EJkAPPSqkk2+7jiVMKwJ87PCEdAfr VmRQBTY7fcoZTlicYpKNxJ2Lf23915ZB34wxJprxyyQsEWGW1kjdZwzHOCOMf/Xpy2xaMkyeTMB9 4fxD0IqjOJ4I2J5VsjenT/61Lm5dWapa3RFHY2llHYj5Vlx5MGG7Y+6BWlaiySa6a28nz9wSY9yQ O/vVdXZ7e0aBIXlSQEmT+AdCRjvWhdNa2qTSMEiBBeSTZjOB3/D+VOLvG4NWbOenvpL3VGj0xLe4 itlcXSrJiQP/AAgfU8Vb8+S3ulgEv74xCUxE8hScdfqCKuWVjbwwyXNukKG6IkkkRRlh2JqO21KD Ubm6soBL5sLiKRmjIBB56nrScUwXZlVWtoILr7U0irKWd2ZypXI/hPatOIwXGkqlpIZNsYMeXyWw Pl5Pr61m62Le8ZdNub6S0MhVldFzkbsBcnjn0qtbWs1g85aJEcDfNIg/dHGRwTzwAM09VG71GtSW 0h1J7C2m1WwWa7imwhVwNqnv7cVqtp9kEuEEckRn5lZHwTgYyD29Ky7GadG+0vOz28ygx8ZQD2Pf NaIKmVrlJZG3IEEZbKqQScgfjQppg9GTWO2K6mjXcRGqICx5NVllkkmmE0GxYmG1iwIbj0/pWfc2 8V1K3mySDynWUBWxuYdM/jWi5xbRrnJPNb4dpwk+3+ZFR7CNK8yPheB0x61VsYEnuY7q4FwrRufL jlAXyj0OMdQfetCANDAZChBJwv1pgyAaVab011tqTHQmntUltijy+WWHDx4DAg9jWRqM0MOtR3El 08UNlAS67T8xchQcjg//AF61bW2laWSWSUvFgbYtn3D35zznNWJUUO7S7EjABLN05/H3rNGhmwuI b0qWyHOQfXNX2RXGGUH61Xu4P9MQhCQEyTntx0pTcBXOAdv+1XZg8VCnF06m1yJxd7jmilRg0EmP 9luRStcSId08CyY/iFPWVW74pJWAXHXPFdNWhQlBzi7ehCk0U5Xa5lEhGMCnKny9aURgrwcCgKB3 J+leQ4tlXI+eaqahfwabZyXVy5WFPvHGa0HAVA7pgE8e9Q3aR2thNeXsbGGNdxiC7uPcd/pU2Kt1 KkAN1Ek4y0TAMoHcHnP61cgOY9vOQT+NV9SeC40rTdV/tC8hi8xJI44Vw0hYcIVNTeW+ozQT2zvA gdlkjkiwz446duaqMeVa9SndjrkTy27xQXa28oGQSA3Hfj36VTuLS7eYtbajcWkRAxFCi7Qe5H16 /jUMmm3drrDaheGMQnFtCIVZmbLcFuMVLdR64Jv9AS3aDAwXznPetItLTYn3kaL2zwEvbEjJyV6g 06O7KYS4Uo/TOODVumvGsi7XUEV9LzX3MbDutGM01EWNAqjAHanVICFFK4I4qg8ZjlAx34rQqG4i aTaUxketcmLoc8VJLVFJ2ZVs9vnjcwUD/Crcs0iYHKpn5QfSq32Fyo+cA55xT2syVGJTkDHNed9T rPoVzFeVxzTBcPGCqMQD1AqV7KbJIKt+lQm3nA/1JH0xWMsPVjvFk3E+0SZDA4I54q/lZ7GVlXBI +bnvn0rP8og4ZWBHqKsw3EVtDIZJVjVuCzNgZ7frWXLbRlRepW02zSEb4AVklPmMc9TUt59ukXKx JJbsjeaqnDvx0A6GrWmw7rZJfnwB1A4H406aRnkLcjHA9qiKtFXNZN3MOC1u4JbO6l1iX7NGNptr lRuw2PlyCM46CtOKQWkMs17dRBQxG/GFAPT8uOaseTFekRzRxtnkh1BU4749ar6vaPPAscFw1uMk bViVt3p1zWm+rC6LBuzc3MsSCQ+QQGBU4z14z1qKOCwkhm02FUELkm4XP97nHXvSPc3lnBM8sZdM qkRjUuTnqT6c02zt2gjH2qTddScPLsA3n1OOKTbQWKbxappWtWNnY2du+itH5TKDgx4789eK0Liw XaJLNzhxng/pViJhJAyzFSnbJ5NJAba2CWNqFTaCyRK3O3dyeecZNNpSWpK0MRQ2WypJ2g5HatKK S2yjPcxqWwAGbac+gz3qtNCI7hFQnDpkjNWYbeCSRYpokkUDjKg4PYj3ow8ZRuE3F2uX2QvCoC5O c/Kcge1RGJ/LOUw27vULpbCILESpz9Dj8KkgtLeQch8nvk1LTbBcrJBFmHHmD73OMmmy29tNavBc RmWNyCQ0eRxyP1qpBpdzJqk05mmisYl2CMyZ80nHzDHTHI5q6bK2bKeZKpzjiRqdpIqyKMt5Zy6m beCVDLHGN8QwCvTHFSdayv7LSPXJ2WFUDRr++/jf2P0rUXT1MAw05LA/MH6Vkrt7A0u5HcyPDbO0 W0nHCscBj2FWrdQtvE87ojbQ0gDZ2nuPeqEmjI1gIZWuJmQZDyNn5hyD+dMsrO+WMLqcoc7RgxZG Tk9c+2P1q02k0hWXUueZCeDNJkdPkA4qCUrJsWCeYyLIG+RQAQOxPpRPaRiPdGXLLz85zVq3jBAI wqDkmlBtzSYPlSuidFfIu5mywXA9FPoPwpFNztuDJOHMg/cnZ9zjv6880151VQqHIycgjrRFdpFl cNsbqD2+hrRpLYnm1EtbZ7S3YzM13cSHJy3y7sdv7oz2qHTpbm4MovbZLdyQIwj7s8f41Lay3DwC WWLyw0jKEVt2V7fnTo2EblDt8w5285x+VJlDJpZ1uZIAcQ+RuWQHLB/QD8M0+xkuJrGF9rvlAdzr tY/UdqdHEIld2f5iOoHT86d5kyqvlv8AKRn3o9QH1yviLxgdB1i308WbS+fEH83JCR5kCZc44HPX 6VtiZ16NUnk2t7uM1vG7FNjblByuc4+ma9uli41vdWjJlTcNWctN8QLFZGzBOUWcRJtwN/LKTyeP mU9cU7/hYGmCUhY7ooI1lZwVIVTtySM5GA4Jz6GuguvD+lXqqJrGEgSrMcKBucZwTjr1PWpItM0/ 5yLK3DEGN/3YyRjGD7YxXRafci8TmG+IenRxyu0V5tRSd21eTtDYx9GHPSnD4h6efMBinV4+qkKS eXBxg/7B/MVuHSLK5aeJ7OJhKnlO2Np2emRzUlv4Y0uyiVLbTYyiBtu5d55b1PPc150cdPmtI2dJ W0JtNvH1HT7e9EZiSdBIqOPmweRnB9KmmmeFQSFJY4AFG2SONUSIxoowqhcYFOjDOrE5+Xnp2rdY +lzKOpm6UrXIheIVzlfxyB/KnrdI7AKyHnHDU7anAMX3uny9aclk0ZBS356gk10fWqFr8xPJLsG4 kkGM4+oqpc28cqbmjGARlWH61oeTKwwF5yBgVDfRxRQhnL5HTBNcWKxNKUXHfzLVKTMmxUWcJWBm RWdmI3E5JPPWrElxLNG8bSYVxgnAzTrO2SSFG+XeR3NW4rFGGQBuJJyozXlw1S1LdN3epTslgSZI hbEPaxiOO5Z8bwQMgflzmrC8zlmdNwOAM9PoauHTULFRLyBnkZrOuLRo5yA5OBn5aqSDkbLD6nZx XIsmnRbgqG2bhk/QjrUHnR/a0EsgR5ATEhPLAdcfSqwtMzrNwZFPysUBI/GpZI5opVlkjTzlztcr gjPXFS3cbhIuzxxLHyoYjqw7H04/qKw2u4l8SWVp/pZlmhYEocxxj73zcZBOOKvvcSuhDxKxYcsD giobEfYgETeWxhpZBlmGc4LfjTVrktSRJKrpOhZ9yqdoOPWke4FrG0xVmK8hV6sfQVfkiWbT3ETL sIPPoeo5qkGLRI5HbOKum0n/AF8yJrS5X+2xyxwzNDKvmyBAm3lSfX0rRFzLbkRMoXDevOKpvBG3 zYaNuu5eKkjUkYkcy+h6EVU6cfsMlSNCW9RmAQ56EnHX1o+3RKcBCT22jHP4VR8rByrfgwxVK9iu HeNI5nhkEgY4X7wHUfSspXi9Sk22aDq9xeSyxhSRhdueT/k1HYahPc2kbXdg1nKMqYpeSMH1FX7W NLeNVAIbH1yf/wBf8qaY5cEDEq+nX/69TayLepXuk+02UsauIWYbQ6HDL7iorhJTd2Kxl/JQkyyL 91uOAw68+1OWS0mnlgilKXERUtGeQAc4/wA+1CtdBnWeFViVv3bo27eMdT6UrtbgWnVWicqkZwPR qoRTSNEoOAF4wBV5Zf3SrGRljzzn86olTDdSxn13f40Xs00JrQUgHDDPBxijG4gEfL3py/eJXvUz oUjVBySeT61cmmZEJuJI0Kxk7T/CKbbW+WMj9ewzVpGjhVmdcgfrRakTOzuu1QOFqRkYjkdSdx2j 3pAVUYOWPqDUrPkSHg9hjoKqSbEfBYkkZPOMUAIeafC/lSg9jwaYeWx2FJgelOEnCSkuh2tXVmat MORKPRh+tNt1dY8P+FPkXcuAcEcg19JCTlFSascLVnYNi5Jx161JEgVFDocEAZzjvmmKwYBhyDQ7 y/MEcqSMLjjBrixtFcvPFGlKWtmSK4VMZGWAPGOP1p6zyJnazc9cDP8AWs+K4nafY25s54bkirb8 SM2xQAeMDH9K8k6CeOVpiM7jkEjP4+1RS3JjnVVTdtxnnr+VReYkaSOqjcF7H1OP60yKOG6QSum4 kZxkinqHqS3EjL+5RHaR845OAPWo00uMANITIenI4/AZqIqv28IDtCxfKpJweTmpUPmeWAVXaeQC fWosm7srZaE32Szzjaox/dOKPsoGPJldSORkZWneaTICSCDyfnzg05SrSKMKcDPHrj6VXKuwrsrs 98rg+ZESO/INPDXhO9rdDxy2ev6Uvn+W/lhSd2AOTxUv2h9pJkfAGfX+YpJeYEDT8DzbQgDrsZTm kM1qFdW3qDghWU1MJklkaJyXPI5XH9aWRgtzs3KQDwN2ePxFFnvcCg1sGw0bhoz0YUnl+X1INXMe SPNgOVYAyRjr/vAetEboVad2yrc0W6Bcoyym2tWkGF8w4B9ap2zkJHyDkELzyK0dTZJbJ5dv8OFw PXjFUY49+qLbtap9nSH/AFm7JLDjGKlp810RNJolDc88jvTbmOUQP9m8szY+XzCcZ98VamsESVlS SReeBiqF7o1w1lMsGqzQyStuV9oOwAjgDA/ya0jN7M53GxaJYhY0A3MO/T3NH2dUXOVZu5zkmrEd ukcMfGZD1c9T+NU2u7YvsV23+c0GCp+8oye3p3pxqTvd6g1pZFhJWQYByMYGe1JOVmMTLJNGYnD7 Y227u2D7YqPqfX60vB+VuB7Vp7k3poJSaKeuQXmp27NZ3b292mWjIOAT6NxyKs6PFdx6XbxXl0st 6EHmsFwrN7fTpTzGSMZ+hqeFYraOSeRtyKhJ2g8DvWU4uLsyou7CVWjPmmMBxj5l6VXuAj3incOV 5P5VooYp7Rpo2YrIm8BlIJzgj9P51gAFpyAQcDqe1ZTTRp6lyCeKWea3jYFoSA/tnmrUskaKpPL9 qiXmGPnnGD/jVZ3M0/lxDOOCaoyasTAefIOQEHUn1qeVuAqcIBUbIsarGvJAyfrTPNOSOo9TSEBD EYJxntTkBK5WPd70wNuG7OB0LVMmWXjIHYUDIbhdknTg1FV+aISqOxHeqTxurbTxXZisPKnNtbM6 Kc1JWL8L+ZGG/Cn0yFPLiVeKqy6vp0GoJYS3kK3b42xFvmOele1C/Iubc5XvoWVIR2QjAHINPO1h 2INRfabZ8Dz4jk7R845PpUFvfadeRK8FxBIhYoCGHLDqPrVabCLiZTj7/GPmGSKVGVZR+749QelU Yb/Tbm3F1FcwtFnaHD4Gc4x+lJJdqwT7JOkjOfu7weO+B1rklhKEnZaM09pJFyeVooG2FgzYAG7P f61HbTuXG9hjByCM8VXj1Ebf30TKc4yBkdcVMGt7g5jkXd7Hn8qwq5bJawZUaye4y7Yi7hlRxtBw CMADNXBCNzlCgxjcAx4NZ94jRwsDggg81ZiuQkWSPmdVzXm+ylGbjJG97pNFnyVkyxVd2MnI6n8z WfLMIbsp5CbeCpVjx71MZ5GYmN/lxgrgc0wRSu24xsT9KbSQky2u9trLIq5/iLnk/hTS7xuxkCEH pgdf0qNYjDkZC5PUHoaUi5lIjkkKqD97OB+Jp8t9UMnEcalpQ7KX/hx+nNJ5ayP5gX5v73v71CIk D7ZZWkYcDJ4H51HI0EbbXbaQM5V6l8vcB5nkilYFMOBjIBpLCVnt0XeSA3IPPHPFPXU7OKPBbd7d azppXuDm1jMS5OXJxnP161nJqLunca8y1PdmW48gIgii+Z8Drg5A/Oo9Mtrh9XkuJbsvCQT5OwYG cd6yJrm60y5ht3tHniupAEnhJbnHO70AOa0bNQ+tRtcK0USRkxsZCNzk4wQOCMU4t394yk7y02Rr XDLDcsNoIBPOec1XuHlnhaO3KrKQNpfJAPuM0ty0hZlYnrT4F8qPzDnceF/xovqRczNQsb7VoJrS 4liFs/DbMq4jHOAfXP6VagtYg8LPNMI4BjYrcPkY+b19frVppPLty4OGc8EelVrW1S2twg3ys7s5 aRyTTbBFyQWaqHRdwzjHIxVS4gVUEkT7l9MdKkTYxWPysByOc1V1BhJbyWSHEcmQSp5596NxO1hu JZ3i8ucRoj/ONudw9M9q1Nvl8L09D3/yKybeMWtvHAhJ2ALknJ49+9aK39rHLbWcjt5024IME9OT z249a0nrZdRQJpWYWbkKQW4/DvWJbxmW4dfUc1rXHmNOUjP3gQNw6Dv/ACqnJB9knhkQ5DfKcnvU RSc1zbXKYjW9wT5auMf3j2qFG+znYMq/f61be8KXDRmJiox8wHemm6WQMrQSYwecV7E8ti17uhjz EO485f8A3jSo247mG1Ow9aYH5x5T7cA5cdaFje4Y84Hc+gryKtKVOXLLcpO5Oread5XbCn3f9o04 zY4GfyqEiWVxggRrwKkzGOGfJ9jipSGXaRlDDBAIpaY0iqpORxX00mktSF5D65rUPB8N9rh1IX1x BvkilkijxhnjGFOSMgY4I71vRu8j7l+771MM98VnCUaiuloNpxOMsvh1aWsjtJfzzh9+cqFILJsJ GOhxz9abH8ObeP7IV1OfNvL5uPLQBmyuOAOOEA465NdtRVezj2DmZwf/AArO1e2mtTqlyEdg7hUQ Z5YY6f7Z59hWxoHgiz0O4iuY5XmljiZAHUAjJB3DHsMV0RBVvMX7w7eopFnEkhUFix9ep/8Ar15G KjOnUv06HRBqSFClgQApxngnFQfYYgPM8nPOc54FF5qItV8tf3k54DDtWafOlYPeOwBPAPSsv7Sr Rdk7lKhF6k0szThkRDszy27P4CpQA65LD8+lMAiICLjnoAa0IbKJI9wVZGx948j/AOtXPOpOrLmk 7s0soqyIYXto+WY7h0AOalN0oAKxuwGQCxPelhSV3JlVFQA9VA9qfJCxj2BQGHzEjpStKxNyMXKt H+8UZ/gBHQ/1qE3wPyHdI4GAo7iop3YHyMZfOMHoKSO3NrMGl3YYEEkc1m5SvZFJLqTx2kk53Ssc EZCjp6UstkqROQuMKcDbUsrSAALNkAAEA0+KIywPuY7egB9a0UV8ybszLjy7TyN7oDO4RABkliM4 pJGKqXlO0KOSewrStoPKhjmlJIAG75eh6VWtbeEwzy3Ns4eWRmlSSXeQCcDHoD1xVW0OflINOuEv rdZbaVZLWT/lovI/D3rVmWJ4vJkUAbcKn8XHp6mqdhbW1vC8MarBBGpK44VR1zUkEZltrR5Xhuri JCVuVUAHPUj04p2S1HHY57w9KdSvJdVuE1C1kKiIW9xwpUH7wXseMV0RIkmAXgZwBiq18t19sgaM xNFGrGUtnf24HbHep7yJ5F8qK5kijG1i8WM4yD39am4cpXMMFtiC2QJChOACfXJPPvTLOzurW7uL k3slwk/zJC6jEIGQQKszRAQu0ZZnUZClcZ445pNOEsKF7qVndyCsYTAh9Vz/ABc55oXdhbUq2kM9 n5jyXXnREExB/vLkknn09KSIfIZM8ngU+6wLiVMkAMcUbdibM5Oc1cVa8jOTuLHy4+tWHIS4Ljg7 yBiq8X+uT/eFTmWNn3BSCO7c4rMaJpJldC7SeUF+8zdMepNQ30sMtogjZSHIKMvfvmoL+VJbRvKu DblFyxKb9yjqPxFRRSrqbo8Y8q3EY24H3V9hTexpvsWI79du2QEOOM9j9DUzXKgDAyTUdpGba1S2 eQSsqhfMYD5vc1Xv5Yba1W6jBxuG5V5UKT972x1rpWNr2tclwT2LbzLIhVgRUWxyu1W2L3OOtVkk E3lkH5ZAGQ9mB6EetW2mRRgHp1rGrWlV1luRytbkBDuwjUnFKbdM88mhZRuyufm4zTHuAHIAJ+nN ZgPJ7ZPvzTSRnikpDnIxRdncaUZBjXHpT6pWzlXxkBe+at7ifuqx+gr3aOKhKmpSdjinTalZCSSJ Gu52AFM+125GfNXFK20DE8AZc5wyj+dOa3iXcfLU7SRnAzTo4unNtPSwSptDBdQHpIpqBry3SV3E gyF4x69ql8jcMx2www67RzVSCyWW4IxhY/mbIzz2H+fSubGYmjOPJG7NKVOSd2XLa1WKMXLIHmkG fmH3R6CroO6DLZYZzzx1/Gol875oQATxkmlMbBPLeXb6/IMV5sYpI2bbKTW0Bnd2jZUOCGXjb9R6 VYktZYIxPbSM6dgTzj6077SnlKqqQfaiORkhbysYVxgAeoyfyP8AOp5EPmGR3gkcqcqi8spGCKml nCQFpSuMhgP73pgfjUV1apMEkK+WwHBXFZMck0843hpI4jhQPWolOUdGNJPU0LZP9IMsmSzZJ4zj jirMkiNGx+92AZRxmqa3EinP2WTHuwH9anj1JR8kgkjYnguePzoi1awmmKYVibcyt5WSp/2fce1X Y4gq43Zz0I/GmO8bfM0g5HzBec/yqqLhUYxhjjI2E9hzV6RYiW3cxIYDu3rkgEZ3AnpTGjn+1SIR CluyL5Y5LF++fTtUxRZId7NtkXo/fNU5rt9/Vd/94D73v9abdkZyVtRLvRlvrf7Lcs4gcgyeWeuO x9qzra7nstTn0qaJpIgQYHjTCxx44DHpmt7mO3LZ8xz61X8/crqyjDHP4020o2JIncxo8ztgRDc2 ewHU1Wg1GzmMkNvOko2o/wAh3FFIyMj096s/Z3a8mlEj/OioU3nZ9QPeodLhc6pqO7T44R8i+dsw 82B1PqozUqKAtGaFs/v4/wCH+LsBSieBGDNNGQH3Ebuops6LC3LAg9AetMjtBMc3AHlnoo5zU63H HXoU2IeYse+TUp+ZQR1FLPp6Kcwlo8dQppslvdQyNtdGUHGTwaqM2rpol0n0YIdrq3oc1YIhimaN mYncenSqjJck/wDLNT6YJpZI5i25p1yTz8uKbjLsCpsLtlH7tDvduBj+tSafPF9mlCMJGWTy3yvQ jGR+opsEaRsfU8ljyaveU0kMh24kVDg54zjihQ2d9xtWdiG+hkeyeSBIiSQNsxIVh3Bxz0pYHt7a ERQ26qoXagJyAP69apPHPcFPPnZwB9wHAz/kVOkYRMDO0duuK39iuXRmbmSXBDWiw5DbSNuOAtQH nHmAuP4ivDD/ABp5CY+8Tj8hUSvljtrJqK0DmZJhNgdMMBxkdvqKoCWOQswdSN3UHNWyhyWjOxsc nsR6GmW5jsY/KhskVSSx2Dgk9T0qeV2GknsCyBjggq3oafzRRWcXc7WaFoqtCo+UHJyxQH0qWVjv CyHPp8v+GKKK0exD3CQYYlHzuGdvf9RQhzKXVAQwJJPJ/KiinHVksiurgQphHPmdAN2SQadBD5Fs CDvJ+ZyOjE0UVCd5Mp7DrdyEK+XlieDuAz7Z6024aWQFRBJkHkkg/wCetFFO14iI0tpzuBEa5Hdh mp44HhOFGc5DHPX0JxRRTUEgG3haOEuwKyFQMBu/T1qO3shFAu3I4yaKKUleWo1oiJ2B78VAx3cK OTwO9FFSWPmha2UbD+5Y4/3T/hUYOFIKgk9Ce1FFFktBLYsxXLkqzMTjgjPFXDBBIrcAD9B1/LtR RRF9yGV1ea2uEikYFWOEc9KpNexW8Epubj7RLahftBjhIxnpwP6UUVqo30M2tbF+fzIkRbYqHDcv ID9zuBjv9aSWYyOOBvx24/E0UVm30JWsrEXmbmMjqNwOD+FTJ8+0Lkxv1H900UUdToaSRIAyMr9X PzBAM57HPtxUIRfMdyysdxLD+tFFNkiSI8mSSPMHXnGR61XuI2Z49kbMFHUY596KK7sLQjVi+Zmc 5uLVhUhkxyuCfXtUjTywL5Z5DDA9u1FFaYnCwp0uaJjzuUrshBCg+o5xTHkL4AGB1PNFFcM5NpIk jkfJ2BTgN26YFIuSCdu4noM9KKKyAdu28/N6fKKBISPlQkfWiimnYZ//2Q==