20210901 16522600 1.0 FALSE Settel 002 0.000 file://\\DESKTOP-GJ1Q2J7\Users\User\Desktop\RIS\תכנון\מטה בנימין\Fluidit\Settel.shp Local Area Network FeatureClassToFeatureClass Polygon_2021.08.31-Polyline "C:\Users\User\Desktop\RIS\תכנון\מטה בנימין\Fluidit" Settelment.shp # "Entity "Entity" true true false 16 Text 0 0,First,#,Polygon_2021.08.31-Polyline,Entity,0,16;Handle "Handle" true true false 16 Text 0 0,First,#,Polygon_2021.08.31-Polyline,Handle,0,16;Layer "Layer" true true false 255 Text 0 0,First,#,Polygon_2021.08.31-Polyline,Layer,0,255;LyrFrzn "LyrFrzn" true true false 2 Short 0 0,First,#,Polygon_2021.08.31-Polyline,LyrFrzn,-1,-1;LyrOn "LyrOn" true true false 2 Short 0 0,First,#,Polygon_2021.08.31-Polyline,LyrOn,-1,-1;Color "Color" true true false 2 Short 0 0,First,#,Polygon_2021.08.31-Polyline,Color,-1,-1;Linetype "Linetype" true true false 255 Text 0 0,First,#,Polygon_2021.08.31-Polyline,Linetype,0,255;Elevation "Elevation" true true false 8 Double 0 0,First,#,Polygon_2021.08.31-Polyline,Elevation,-1,-1;LineWt "LineWt" true true false 2 Short 0 0,First,#,Polygon_2021.08.31-Polyline,LineWt,-1,-1;RefName "RefName" true true false 255 Text 0 0,First,#,Polygon_2021.08.31-Polyline,RefName,0,255;DocUpdate "DocUpdate" true true false 255 Date 0 0,First,#,Polygon_2021.08.31-Polyline,DocUpdate,-1,-1;DocId "DocId" true true false 8 Double 0 0,First,#,Polygon_2021.08.31-Polyline,DocId,-1,-1" # FeatureToPolygon Settelment "C:\Users\User\Desktop\RIS\תכנון\מטה בנימין\Fluidit\Settel.shp" # ATTRIBUTES # 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/2.8.0'><WorkspaceConnectionString>DATABASE=C:\Users\User\Desktop\RIS\תכנון\מטה בנימין\Fluidit</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>Settel</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Name</field_name><field_type>LONG</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>next</field_name><field_type>LONG</field_type><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>exsist</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/2.8.0'><WorkspaceConnectionString>DATABASE=C:\Users\User\Desktop\RIS\תכנון\מטה בנימין\Fluidit</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>Settel</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Name</field_name></DeleteField></workflow><workflow><AddField><field_name>Name</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> DefineProjection Settel PROJCS["Israel_TM_Grid",GEOGCS["GCS_Israel",DATUM["D_Israel",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",219529.584],PARAMETER["False_Northing",626907.39],PARAMETER["Central_Meridian",35.20451694444445],PARAMETER["Scale_Factor",1.0000067],PARAMETER["Latitude_Of_Origin",31.73439361111111],UNIT["Meter",1.0]] DeleteField Settel next;exsist "Delete Fields" 20210901 16585300 20210901 16585300 Microsoft Windows 10 Version 10.0 (Build 19042) ; Esri ArcGIS 12.8.0.29751 ישובים ישובי טלמון ישובי טלמון Shapefile 0.000 dataset 0 Simple FALSE 0 FALSE TRUE Settel Feature Class 0 FID FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. Id Id Integer 6 6 0 20210901 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwBn2nyo MNLgLxhhxUKXRdcAk5OeaqXNwp2tJGQB03A1UkuHUl/mCg84riSNnIuXjARkbs9ifWsLUH3lGiGe cVPNch0DDIJPOfSszzy8rsThVyAM9atIycrkwv8AG0LgkjB5qdUjll3v90c1QhiVh5gGHIPy+1bW ltBLBmcYJIUAdBn1pPU1h+7XM93t5ef+X3gB5cZMRJX0bpVOR98jLgpg9DxXSy6dHdK0M7GNUbjZ 1B/rVWbQJ2hAt5UnbujDDD8aSaMpJnPtG7SZZ1jj67gck0qG0mtpcPIwGRu71e/smUOYXRkKjnJy KbNazWrosZQxkchsAe/NXdbCSa1IFuJZ0iklclYY9iYXBx6n1q3HIl1ECBmdRwem/wBvrVe98pJ1 iJZJQgO5R8hBqFJUjywG1gemcfjWUmovcupKrUlzvUgmvxcSn5mVuhU8n6VdilAsmCzEHphhjNJL JFeWs0jWiCVVwkq5yT7063nsbaAxXEfzN/y0bOK00auiLNPUrRSbCpOMZrRjvXXJ4yeR71TtdJac O8V3BKh5QKCCB+JqAZR8qc47ihpMWqNZrWQRfaAjxxseMqcVPBbw7GknuFCoM7VOSauJ4kgSwhik tiyoMEZGDWxp+v6PczxQzWatFgkgDBPtn1rPlktjZQh9mRy02pacbcxxKRLnBPXH/wBes23Fu8zT 3E8jc4UMOB+Fdjr0fhi9vgmm2ot5lyJYs4x75PeuTlXTzqLWduJjswXfqB+lJczWhVkrcyNTSZdI jvBc3CZaJsBwh/lXTzeKdPmjMUvmRS5+VHQjj1rnbGztgWt4pwXJyYmxz6Gtd9LupgrXlmrPtwpK kfTmsnVkpcv6F+7bQ0LlUvYWgdgEcYL7c496yltDpmnS2CSm5SdiGbZ0p0pvoF27H8vHHyHqPWtG BVlgIkdAn3tzcEVtCopLRGVm3YoRadYWNmiRRsWxkyc5JqjqVoLTVi0MC+XIgfHUhv8AOKdPrNpa NcMG8xYvuAAnc1YlpeSvDJvkYzMCxZjk807O9yrxtZlhJhkqVIY9RjqKvWVvbvaO3nMrL1BXj86i tQCgk2/NjrUkLNC5ABEb9M+tTfU0irwcfn93/AFggimC4VtwJy2OcVM84Vwmcnv7VLAzFyUj3YHU 9qpyJlnlwxJOCR0okiIyY15VkBK/e6cUvmCM+ThmZx8x6YHpUFtGEuQevOdueBVya5i8siPCsFOW xU7FXvqTQGCIJHjEnX8Khvn8yNjJMVTt2rMhuJFuN7qefun2qSRnvHVTGQpPJ9PpTsS5DdI1G0tp XjuRJNC5+bHJqJpElWZoC5BOEQ4yBWvFoUMtkzoh37gA3rWTqtl9gn2xRyI+3LBhV3T2MrPqUze3 VoqGW3Q44xkg1YOooTkwy5PoAR/KqMd1qAYEKsg9GWpmur3Jym0+irwKYkNfWJ54mUSAAdiP8ahE 0kiEeYpHcFhVyJbS2lDLApU43bwatta2eoSxCJBED1wcA0XQrSMg+SvLOcg9BzUEsS/MUcFs/iRW 3d6TDAYtjbcYzz1pGtII7iO5YKAuB14NO6E02ZrIysPJTczjaOM49635tGlazi/1sGedyJ1/DFYd /fyC5P2YRLht2Q3b0FdDF4vZbO2D26tL0YtkD/8AXUwvLZHo1sO0uZ9Vp8i1JMpsGtGtTIAMF+Qx 981l/aJtMjcRXMzvIMIjgHH6VuP4pgmhEdvAiykHh+ST61z87SRzlpVUgjrgkU3eLs0clb3HZfkU Zr3U3kDYOwybdu05x9avWdzci8gaRTHFG/LtEWGO/FQG8j3qgccmpo5Lia5WGFgBkMsec5rOVZp2 UDJSurnZeLNTsbvR4xEkVxcjBVkgICgeteftcMsbytbKB0wY2yavLJKJGV3O5jymCOalFvLf7YAV j3tjc/r7+1OnNctra+txufM9BlhYHUb6G2ZXitSu+SQDaBjsCeM1v/2Xa2btHAqybhwzrkgCtay0 Wz023XTvtqTTRQkuyg4Ib09+Kw9S1G40/UHQNFNACR5eMN+daqKVlfU1lS5IK+5cFlaFM4AbHy4A Ug+1YN/oQgtJbwAqfvOijO2nJ4mtBcskttIiqQwH19PyrWg1e3vN/kLI0iA7g0ZwQOxquVmNzic7 gNpGD09DUUn7pWZSUK1u6xZ2ixSPZx/OBv2oe3fisXYwKh8qSOM96VyGrGXbRLcXDSxXDRyuc7TK Mv8AnU0er3EcuxYgWPB+dc1KNMW2k8xGDNt4B6VUmhmkuUk8oRkDkLzkUCTaN+Mi7MUyM8M4HBDD I9vpWvHr+raUUE19HNbMQpLDLL9MVxcttLDfRSpK4hGN5BxVuW7idSplBB/hJpWTV0XGp1O2u/Fc 0FtuQiXjLFhgCsy9vri6RUnZVEw+ZkONo9hWFbFWilhRQ0TDkZyP8auRz+avlOmCBwaVrbGnPctv ZKbdVBPlHjdUqWDQM6hFaOQdc8io4pHij2q52dCDUjXEjyqiZz7UE+bLUEIt0ZWIKnsTzTJywiDl l2Kc5zS+buYbgxpu4SZ3riPpjvUNaG9OfLJMs/bQsX7ofu8dScZqkbnzCW3ZJOABVXzQSIyjP6YP WpwjyZBjK4+77VPMjR0HzaNW9USqGR8MSqkEnAqi0piVu4J4BNa1xIGt1h8tVlU/f2nkVmTMY3Bb y8Dtg0J90KVNfzIfbxvJL8xO1upNdPbWtijBhllRD8mDyf8ACuctw3lkmTapPp0q9Nq0NvsdInMi DDKv9aE7vVClT5Y8yaZPJqgsZFdAWSUZ8vaRt5qWS9tNVuUuriHc4ADIDgCs2PWLfVXFq0fkqFJQ kdW7VZdPIZNhAXIJUDPNaJGDkbMFpZzgrJsjG4KCRgkVnX3hyRL2VbWcNAD8hHORUk22QwguBvwR 9c1PFLYRxhJLeV3HVvNxmhbg9jknRJhlvlx2q/amOK1cx7RL0U9/yqG3jiZpUkIOPunPWoLyVbK2 3JjeThc1K1KbsVry8t7PiaQyyn+EVkz3r3cqmRiqdlHAFTQ2JnKzk7/M53ZrTSyjjG6aJTkYAq7q JlaUil/Zk/kiddh/2DVr7BcPEpYqVHzbVq3aOBdmOWTKYrQhbykBUKVPQn+tQpux0Vqa9oznooHt LyK6NqxRSd5VWP5VdvxJcxCdYXWLkhMEn8hzWqz+dINrHg8Ko4P1qKdLg3UKoVECjLg8Hmn7Rslp 8vK3oYFuGuFcR2pwODmNgf1q1pyXMN3InkOJgmVDnGc+lbdu5nkZYoyFUYz3NaWpMkQtowU84DJA +8B2zQp36EOmlrc5NIp7Zd8jkO5JCDkKfXNVYtSitFEUcjyNIc726nPpWvcSAtljny15IqG1tEcu VQF1UlTj9a1p25lcqj/EVjoNCnuLWJvtFjIVIL+erZzjoDWTqenvdxOwLmTfuPODj2qSy8TXOnaW 9pdQebExI3fxCoJ783aEozDscDkCp1T1CpfZgmjWdzGSUO8LwM4PFPtnawPmJ8rngqp5OapWwuPJ VDIykAhsmnyqRHtZ2Ozqw61FWKlu395jflRrzPHdRqvkhJGGC/TJ9arwyRXUrWM6KZkwFJx8wPSs uS/iRlFz5pX+EkYH51bvL20m8pbZRCEIYzc+Yfb0/SnzKwuddCC5sLWJ8NO23OMFhkfUdaFGnMTE ibHxw/Iz+dV4Zy9yRIqtznLnGa3LDS9MulkMl18x5UFgCp7/AFoUujCOrOVliuoneKUB02n3PtnF QJbxuV/dqOO1dje2cVjC0UkJmG4/Mv3iO1Uo4LSNSPsUobHGMj+dVZx9GDpNM5+OB4XEsYxzyB0N XGGQJouvcelalzaRGy82L5So5U9ayBKse85PPBFF7jtyjzeMwA+XBPc1dgu4VnRiCpxzxwaz1eGd /mVSPrUjQYwUZsZ6f4UmUmbEd7A8hDE5/ugU2dZ2JbKhGPAJ6Vjxqc5JO5ec+tacERnIDqSM8Hmo ZaHR2M63g8vkgbsgZXipbWOVLtzJIzjglAOn+NWElAuYreJwipksD/FVhiix7gvzH+LPb1rSKViH e5XkvikhiERkJ6LsJI/Ks+5W5uVaRbFRHn5uoP4VevSsEMZhYyu+OdwzWXdme1tEjuoZNxO8jzMH Hv7UKEW9xuTsK5aGLEiuMrkZHSs2eZgA+4qr9geaW5v7j7JGGmDqQMKSCRzz+lUkjW5n2oGYCMk/ N/Fz/wDWodOxdOevK9noXtLW9jd7qDG3PAcZP1xWwxmliEkxADHcShwTj2qtps0sdlOqosbN8qk/ TtTredLW5QywySDvz3pNojlcW4s1rabaGY4KOCFLduOCffNSLqK2qiFyrMnBb1rPuLmEsoaJwGwB 26HPFMMVm53PGxY9SQ39KE1uJ3RTi1XT3H7sncegxx+dZuryPeTPbs/lOOg9BUuq2aWbsiRqpx/C cg+9ZaW/2hFnRnLbgJMdT9KdlujdKElzLSwyO6vdPXyfmaD+CtqSXU1t1d4htBADdcUkGuWvntbm BQi8eYw7/jVS5+16fdNLcSNLbOdxGeGPapv5FTpuW+j/ADNBYSWVyzNjk4HpWjbWc80aZnUdgpOC arWt7FNF5sKgI3GM1YtnacNHGRvj+4fT3qHe4cvNDXeP5f8AAZZR10mR9zGTB4bHSq93Kflvo0Mj S5GcHI+gpF0+4F3HcTXHmkZDAjjn0Fac6COHL8IOgFNRSMr6WMmznuBY7hI0czLycYI+marW7Xjz TPIZXY9ZZBhj6AVrRPKQSihsEL2IGakhcgb5F3854I4xWf1mir+8iHGTKksOEfcMDZyaTSfNfUbW GFx5jOEXJ4J96nug0kczBWUFe9clp15cwuyxGRnjk+SXHK1cKilrHVGc5OMkeh+NvB32WBb60vI5 EUjzYkGQCfSuKS0kt9siuW8zgrnkVqav4u1fUbKK3upUWFPvkADf+VZun6ml3GFMYRx6N1FO0pu8 zZ1J1HzLYrW0TvLcB7gi43AR22Cc59xVma1uMgMZVCjDJjAyKnS8trG5WeGMuysGIAz+tbdl4kDS CV9Liweo5yfzOKqMEncucqdVJbM5qfzVt94BIHGTzS2cbOjeY25iOM11mpaja6nZSWwg8ncd2MDj 8qxY41Rtkp4HT1q0zGcFF6O5nRwSOTjjPHNacCC2mjuAVJjIOD3NKGjU8IevQiqGrz/ZZI3PKMCe OoP0pNXYkktTovEHiuaWa1llt/LSUBUEacZHc1LpmqJ9qSK4VvnGAdtcObie4mRUdi7g7Qf4PcVv 2V28Gx51G5RjOR1rWSTimzScnJKfc3tSMVxfALEUJwhDDAz61yF/ZvGzBSPvfmK2jemZ/tTSbQTk MOcVWjli1ASqwKlDnceOKw2ItzaGTa2KyOhZV3E44OK1UjAtyCcbTgg0LEI+uD2yfSlXJEjtgKV6 570N3BRsZ1w7cFdpwcGrEWoyW6bFYnuBjgVnRvJPJsi5Y/eZu1dBbxQWcStLF5rqCxJH8qTshxbe pUtNSWW6cyDG4FVO3gGpre/uZX2OyhFbGAKrveKzeWltGsROS1CzwpJ55bCZyUA5ovbYN9zc0sxN dGSYja5zg4wAKbd6X/aV40oR1U5RMnP41Q0WfzH83b8hYgBvf2retruXzVmG7cG27QOtNya1Q4pP c5648MyQjesv3Dk7gCCB61FaWjwqyFkwvHAAJz7V08l5HOGEeGlbhgQcCoDYC4uI7nK7IzuZFYAn FCqtqzHKHVGJMptfLZxlXYEE9jTI77y9RicqpQEcN9am1G6M4MapIYkYtyvOaxvNUXMQPzDPpUpq 5rUXNFT+TO/uIrHWbOJZXigm2jauMd/51kPoV8jlQ8YA6ZcVFDdwahpzxMT9tWQCIgYyKab6RTtk gEjjgsXxn9amxF0OvLGK+s3HCyqMrk9Qe1cxpi+VfvbvyrjOB2xW/I8j5Cj95jaATjrXMzC4huAy gRyqSSw6j2rWGqsEWoyalszS1fRYrqATW6bZUydmQA31qppVylyV0+9GZHPU8fhzT0vr54WJugMD uo5pYNgmjvZoBN5ZyTHwc+4o5bI3jaa5eZPsakejyRXQgUKkEYxkH73vV9o1t9rQgDZ94j0pya3p Zt2unYMQAAnO4/hXOX97eagxVUaGHqEHBP1pcra1CMJU5c9TRdTfvdVi0+JXKb8sASvOPwrMEkmp amELtGrEKn/6qy202SSIEmQsfc1AZ3sLeYiAySkhkkLHKY9OaL29Rxw0KibhPbX+tTum8M3MTjy9 rnALKGIH86mudFktoBI0Srg4OG/+vWBpur3LW63Uc7luDgt0+tPv9euTp7yrMG9Buzk1DV3a2pje LfKovm7D7qSGKJgOFUfM248VnWpSa4BRQjyLkoeMVnxrqd5Fvlk6nJUAVYtbFU3SzQux/wB4/wBK tQ5dyPZRT9+WpW1K4ht7g2rHzA4yxPAFVpNMNyqy6exVyAAN2BirGoabFdSh1BjK/wAIPB/GqEl1 NBMqAmKKNeQO5qjdQXLzUn6mzay2kEospJM3AAyRyCfSryLNcTCKNQuDgYrFFl/aJM9kCssYDM3X J/xqay1TUYYFicKh3Y3sPmNBhKK5eZaG81t9k/fXHmMoO1sKSfyHWmrJEyO5gZV6qznGfw6io5L/ AO3FFwwO7JIOMmkuoppHVSD5ZGDg0k0zNuL1jsZt1eTfbFeGUhG6jAKj2zVWNJbyUNIzHLZXIxit aK0GEV4XYRnoBjdTwsds0YktnkeSTCqvOB+FTOq4bRb9CeVsxvMP2lVEe1g2ARWnFCtnFNLNd7g3 ZuopL4LbuEWzMVxIeHzx9eak0nw2fEEz28ZaQp80jsSAK0pzlKHNJWS7m1NTS30Rm+chl8uGQhCS WA6GtKyuMSRbzjcducevrVKW3a3umhjQuEbaSo61Ykj+zMs9wV3jlIVPf3p1GpO6JlPmndIuKmy4 eOSTcR1wR0rRjhhSGUghkPPzdfwrnbWZo7gzS/MG42+lXluo5Y1KPwp4FZNFJpkbIkd1sSMqoOc4 60Ram6Xbl4HljVd0gjBOxfWpbpkjs2kiIaRiO/Ssoo8ZYCd1LqRIR1K+lTccXCNRKpt5HYjXPDUq 7XKFCmCQhyv/ANeodWXSI9KaGxXdIWDA4z+tcS1tbiJxEHLsRwSBkVaurmWEIIg7AjpkHb9au3Yf t7p6I0rYGMg7GGe46VpPeJFbArvDg4I9DXPwXh5MhXAbJAbpWy81u8Z2Nvd0wPTnv9akhG9pMtpb xiWVxJI45XHJ9vrV68k0m6jP2dzb3OPuf/XrjIpRFOo6sSDyelKWmu5dkaliG+8P5VDjd3LU7IvS W99cwNAZoEhV9wcn5j7cViyafKt3tBXHXfniujtNJdjtnYjnPHWo9Q0xYCkpkZYgQGJHTNHMa0oq V4Pr+fQr6Zo86yxyxMru2ScNnFWLmWAXDgWytg9STzWmdml2kctvIWTODtxlif6VAbawnPmuzKzc kYNU3fUyUbaWKtrvNt9sjaIzg58l+uPaqB+z6peyLdhbWR3+VdpAOfU+lXbC3EDXEssZdkkC7W9P bFWmsJLkEMsJBbgA5Kj/AD61pa2xle+5gXGhRQT+S0hAAzkHIP0qreW4s5yIWfaOh9RXSW6RWwxM VYEkfOeaZLarcTvCsagpk7WOM5o1BpdDP0+1sZc3SQoWBAw3AB9amfE8pjaMegIGBV3WdMtZ9Qg+ xTxwWhX5+ecjrmpW0+xgURLfpvj5OT94eoqH3NOeUtJPYyVlZMgD7hxg8D9ao3caNIXRMRn7y9cG nz3ezUfs9o/nM74HGcfSn6na3+myJ50JVjzgjtV2sZ8zWpUjgNorS2pxu4Kn7pqrFFbxSNJOhkkz kqDx+FXlmVs7ZEQnHyv6025tpHG4xqw7vGcj9KSTOp4xte8r+ez+8tWckZCyqgGTgLnpUzy7p2ib HPp1rHtRtlIbIj7GtdYEZwwdhKvQDkGpd0yYqnNaO3r/AJocdOV3EcgZccnjnFUNX0SK6tWEJBlQ Zz3YVt6tftJbW8gVUmjGCUI+bH1qraTRG58wsVBHO7gGkp9TWnSnCV4q/pqchaLeaZF5sDkoxwwH rV2RZrb7MQyNICPmbk0+9MlneSTxrm3lP3TXYaImmf8ACOx38kC3U5mILNE7eUBgg/L06nrxxWy7 9CalKVWSVJb/ANWOQ1DWpYDHCVEbMfmdAOBUlhqsaXJdpN0eRnzAQ3+FS+I9MsUu4/sUjZuIssG+ bDc8e1ZMulT2VujTJE8bchgTn+dNQjfc55wjF8t7Nb/0i7NPZzXwmM1xndkIpIX8a0k1uIsqsCBz yF6VzRJmlS3hCpuI+YVtJZym2KiQZ4DHAGB6iqcYLdkRcVL4vw/zLLmHX74hJJNirtVh94/hXV6J d6f4V0S/Vnke6mYjJU+nSq2gyeHGMNqY5bS82BZZ+x9CO1N1jQE06e4nN+95DIQ6KGU8nrnHPpTq ezklFM6mqbScXr1Fh+zT2EcMN7HbOwMksjAZz6c1zEEUU14zXEjyxgkbu5/Gty9sNOltbc2dw5nZ dzoccMOlc4LjY+2QyeSrZYgDt+FVH2b91EN02+VdvxFvo4UI8qUkP/DjGBVK1ma1m3AkqeoI6VbL /aLtmgbKONoJA4qrNGYISpkJbHAJHNZ8q2Oezb0RankxaPIZI9h6jcKoJczyRNKdzbjtTI6gVcsR bXUKiWLa7feABx+Ga6KGwshbRk2ih1AwSx459M0Ki7qxpKhKVpJoxrCOKWaO2JCSMCWfGT9K6O/0 UNpHmpaybFHLKhwfxrm9Kitprs5aTz8nACkj26V6PZ+KrySzTTZLP90qlXQRnp6k1zuur8vK/uM4 xPKjbgD7khDEg5wKsxSpCMhWwSCuSK6XV5oobsiJF8ocNhc/MemKpRWZunPygIo5bHAqHBrY3TTF sbQXjNOFKFcAr1rdsooNPt3EZG4nJ3DmsmO7jsLZQHOAeoGatq8V0FeSXIx2OKeo0kdApEwU7QOK ytbdURIpt2PvDA4Ip1ncMARHKAnQFjxWLqd+2oX7Bj8sY2gDoaS3HtqiePUnjjSF41aHcNxwcket a6Npsqh0Z1U9Ae1Y1gscsTu0OV+6F5rq7HSLY2URZMEii+hrWT57rrYwUiu5VLh1Y/xeoNZ02laj 56iOQBkVgQpPzdOTimQ6jNbyq0KklTx3zU8011Ku66uGicchUHP04roUmjjaRDd6PeS2qRF0G8th zn5c4qvLps8rSqLmMPjAIY5z69a3rTULm2SRdouEfCr5y4wT34xVUW4vJyBIInzgEDj6mq530JsU YdMnSVizxuOgAYnn35q9a6bFeb3nfaE4LMOBVlIGjhVJ2Ug/PvQdRVNcRn7MzELuyWBPzH3qJa6j Q+10yKwnDNAruDvjlB6/hVi4uWvSqX6AwMdu4gnn2IqUajF9nW3t0TzU+V2c8fnWPf6hPPZQwLDE i27Eq0ZJJzjrz7UroduxnppH+nyK8i+SrfK+etaJ0hxMkdndLM5HKqRx+FU7aaaZgyEibnd8uQfa tCCKK3n89laGb+IjPNO5KiMvdGLWP2+0IdAMSx90P0rGjlkVTsLZHYV0skz2se2KQmNv4PXPY1Fd aA89u19YD92i7pI/SkmupTVtUZTzLdJtU4fvmpY4nMLwnBBGRx0rOR/KnDBSCvWukjXTzZHddLFc sw+Ygnik0XB9TFlthCuzDSseCD/SoYp73T4ZRZTyR7hhoSM5revY47V0Sfypt65EkTc/lmse8l2s fKBIPRiOanVbHRCbnJRk7pmJHfz7gJlXKkn5gf51NcajPqVqtvEIYgCCSWHPtV+WIXCbCiF/Uf1r Hu9NYKR5UsW7hnVSMfnWyae558k46FqzCRKzSKonXhB1yfoOtbEtheafpMd1JC5EjFf3ikNn/d69 657TYJbTUbS4t8SCJxJ8/IyDXpFz4k025CXb2EomcgF3fOT/ALK//WonF2Xma06WnNLRHnqXTxXL MUO9+oZSMD6Vd+33bWkkkU6osY+Ynr+tdJc6ho8Nq95qFs0zbgFyuHP5cVja4dLm0+A2ESwuWLOo 3cjjAOaz9lre7KlFR99NFS0vnuSrmVFdPm+Ybd1T6j5Slvu7WwcDsayY54DG0bxlyRgVp6fLbXUS 290dgTgSEZq7WMb8wkVuFjDK6Kp9arXcMflljnC/xEda1zbwWjKdwZW6MelUNRkicbASV6kiqdST 0ube0m42b0K9rJHZXllfQIp8lwzI2SCAc4IrQ1fVbnU7r7XJsUMdgEfAx2rnHn2AhF+VsgZNaegQ C4C28is5B3bSeMfWrgm1ysKb5k4E9ncfZLhJ0X5g2OeMGurl1oPar+7+zyuwG4Hkn0+lYV9AlrcY SBliZcnPIB/nS2zLd3lq6MSUIwGGFP1z0rKcbPUhJxfKzX1DSA6wmXd5QUySMTgluwqpPdy/Zlhh VY4s446496nurx55Ht/tJmydztxgew9qyNUtpxbbbX5mPLk8YWsl5mknZNopzygARo2455I5FQi6 uZXWNRsQnGR3punwSRu0XXzOo9a1oLDyJgS3zDlQTjmq0RmnJ6kFmsl1Olt5pRT/ABHNTXVpJpsR aRM7jgEHnArQtrMxXivtYkNgfLxS6heRTWxR1Zn3lc46dKJWsa0Y801FmlotmJdMhkLMu4dAKvnU hF8nlMdvGc4rHg1lEgCKPLwAAM9ajbUtrECFm/2vWsuVms6ibbIdG0ubUL5bSNwJH7ntWzqfhm50 mKOW5nV95xuArnodQNqTcwyFJR07ECrT+Ipr1wZpTLtHAY8V0HHrc1bWKGe3aOVyAGzuqafSIgkU ts7bf4j6e1Y0d6r5dCuM8gGtGK9mW1MUaGRH7qc1m20bJRZYeA26I4VXAIyRk5FRXVko04TKS3lq WcYxxVvT5Q90WwxhQZl46VNdakk7JAlptjcEOT0IpcxXJbY5vShbTSXFuxJilICO3yt+tW7iy8q4 226DaygBscDHXnpmprzTraWaIvKB5Tf6qIc4749apQ3McrNbKZmkJOwOcD/GnuJaEMbLbGRI4yEL YDScHNSxvI8v+rDnO1n6g+hFQ2upefqLCeFMYIVW420sl2GdltsFYzjG4CqQpO61Jld4rthJ5bu5 HAHC1pWl0IC0bMVjc4kAB4FUbWaK9ZU27Z1IDE4AK/Wq2qX5tZMRIpwpDg55o5ebREXsZ+rQx2uo GHYxhY5VunFCWIv0NwT2wkfcCm3V4bg24JRm8vktwAfxpltrAtpAsVuHWNTgZ5J71apuxKlrqDaZ OYd6u+emH4P4U9IGFuVJO8dQ1dHYo9+RclkiwMYJ4rM1ZUV2RcLIeAB3rKe1rnXhlerF2I9P0WfU dQMFqqtKqk8uAMfU1U1S8mOmtbyW0qS7trqEPB789KrvLNHMfLmePA5ZTg1cGqJNcQRyzSGHzAZm MZIH1OK2hNQ9Qg73UVqU7aKD7PiK3lR+h4/XmnrpkgImdnkkJwoLgBQK6q2XRdWmkiglZCvGSCg/ M1l6pZ2OnRbLZ57uUvlthzgfWsqrqyfuNL1RjOlLWTd/mZkUZ8pYbpQWB+6ecD3p15p0l3IDbKjw 7AQAMZPPeo7mSUx4gzGxIDbsZA71d+0QxaZAiiV1jkA64rak21ZsVO2sJbM5qfS7pR5m1UbsdwxU 0FvfQQlfLSRGHVfm/lWzFbnxAxtLLEZXBcuarXmgahosXnveF4wSDhhx+AqW+hlOEYu8HdDbeKS7 tpPPKoqDKK2Qc1DLpkr2krs6gHPIIz0qaJkvYUMUpZ1+8CehpFkdG2YYr33KajVFqzRhxBFWGPcr BmJGetd7bXsJ8OPpkFrDG4w3n9GP41zyaQJJC8agLgnYeOfY0skTRqI5BJC57sDgD69KcptaxJjK VPVAI285ULys7fw8mpLNC91cJtMYBwCT94ewrU0fQJL+B7tZwZfuBlbtWmnhe4jg+WRHmfksDwB7 ZqW7o2jRm9UjEijitgQDuLfwjuazdQur0TOqYVCNpHqK0buE2d2bbedynLGj+z3mIfse3pStrdku 60MvS22XsJfGQR/OujvVgkuWCrt29WNYzac8Tu4/hYde9a9ykd5FDIH27gAQBQ2r3CKdrDEuJHkW GAuwz17U8S295cx2zbtyMQdoHzen60lxcpZf6sqW2bQoGMVl2TzR3BlXhwcZ60pam1L3eaXZfnoa 1zpMscvmyxttP3M4x+lRfYW7E/ka0Gv7m4t0W4csidsVV/tN1+VUG0dKnUhJHMSXBuJGjkiK7BjA HHvTHV0QSRxnA7irc1reM21UJ4zwM5qnBJcFQO3cHpW6Odp7FyEgKJoUO1vvL6GugsJ4QIx80Zbs PWsKF1RPLZsbuvtToHlLYUkeWc+xqZGkNGdnHJJDEcEFXPzADr9aRryKcokifKvGB3rm4LucXKxp ISrdSegp8dyw3lZfm9xwDWTTRvFpmrIBHflwhGTlc5qjcXjW+p+W0Hl5b74HK1Ja3ss7KXG5hg1L r0QWP7TC28EZI7g0r2eo2rq6OdvSTM5D7mDdcVYinMyfvERcLnIHXFMWBpD86sWYEfKKu2+mTiYR uQFA+tWZD7Ab4lLqwO7japywraurKO1gRdyyuw+cEAkUgYpD+7QKFxyPX8aRbq3iY+ZIN+OST1pu VkEYXZkEQJdESQqY1GBxkitKS3tLdRMyIMH5QFBJrDa4NxeFYhhS3LVpNJDaQ+bI5eQevJoUm1oa +yhB3qP5df8AgDJ725fdGmIYj0OADVMyJGw3Au5/Gotk126zSMyo5+UDtWlb2kMPztksT35rPV7E SrymuWCsv6+8oraSF/MkUKP7uM1G2nmW4kRWYRMQxQY2k1sud5ZQMKKjLqCREMDuapJChzU9YvVj obWJFG/C+uKRYPnLAYHtUUkjIPm3VmX2psWMFu21/btVpNkSaSJr+WETlNqsW4Y+lc3czTQyqv2g pCxG5D0PPrV3YzSqrltxPJ/rVW8026v1aC2XexI2+3rVx0MXdml4T1F4b68Xy2XeBtkIxWnDPLe3 EyyDcrZG1+mPWqFnYXFk6xXYCl4xjB5IFbE2lNHbRXkbsCrYkx1A+lYuVW9+VfeUlpYwNR0ddNu1 lt5ck8kR5I/Sonv4Y5fJuWZd44YqcV066fFKpJkfa2OHwDVa5hSG48iWGJ1JwGOCAPrQp1HK0o6e ocnYzrALdJ5cNyJGz05B/WptYikmtBaYZj3bP6VjeXi7hmsm2KzZ2jtzXYXmxcBsByBuxVTRpRm4 u/Yx9KQ2UbshMYY52K5wP1q7LrE9tEU898OM4HOKhji3SBiCB1AzWfeOJLhgrBsDbihIqdWUm5Ec U7yM08reYpPBzzWja6izqN3yhejKP51SliEMIjwFdh1HpVaxbyJmiZ9wbo3pVaPUy1WjNyZ45tsu Nhx2Oc1DCbiQtsIIHT3qDBSTAzj1FadtIIireXz2wMg1L0KSKtxbyjM0wyQOlaOnWO+EO2FC8t3J qrqMnnEhSeBk/X0pLZXtuROwOMkZqFeWp0ySpwUe+r/QuXAnZyNvlRjgADqKhUkKAAuPcVckuGub UKo5P3mPWpY3toY1j2bto6nvQZ+hQuLryX82B0fOAeQCD9K5y7jkZzyoX271Sa6vUw88Dtk53qOt QNfoHIdZwevNbKJzOoXCrRqfMC/N05p8N+8Ae1ZNpYbgx7jvioFlM7CSKbJA+6y+lPsyL29aSU7L hDkDHy4p2uLmfQ3LS7Swh3yOPLPPzrUkc9ldiV4wdxXjAOCexqtNLZO6Jcpk+mDtNSPNFJF5FtGI 4xxkf0rPlNudle0uTHdGEP5SsvLNwD+NUYtdEl1JbgtJED8tdBFpVvJGFmLbgMDHIq1ZaPY2bloo VDH1G40XSFaT2ZJYrdvbwbdiAElSU5NW4IJUnO6VCW65IFQ3DmCP7xBPAGeRWHBM/nvL5pXb1zk4 qbN6miaWhv3Nyh3bOkfQf3jXO6huaTd03HmtGJiLkbgWVhnJHUVm3oaRy6LuUcf40vI3pu159v6R f0TSJtUt5JYi5AYjCyxrj/vrmq8thcLePDJ0Q4OWBz+IrAh1CfT2WRGbYWwyA9RXUrIkkSvGwy3O c9frT1a1POgnNtyYwJGkimVsIpGMdzV1pFwGUYUc5qlPJHli2AqrWDf6vNJB5SttxwSDjAqkm9jd yUTautTt1kwJFz35qIXZYE4ADehzxXMxXEMkyocHJwXY81YWYQkpFOeOx6VXKQql9TeurtIYwoJO emetZg3iYSLEWZvbpUVveM2TJsdc5bPX9a1I5YZpMbtgPQHjNGwnJMihhDzDeCVzyBVv7J5G14Hc BeQQDkfWoGi+yysqOGB/utn+VMZbreWV22Y5XnNAx17c3dzdCVmLugCg7cce1XHv7dbWYPLLA0qg FQwYA1nEz7R8pD9yDmnw2waQGVQxPY0BqK17emVfKtZbhMDDDjNS3V3NJCBPbmNXG1gefyIraEyx RmMLtGOAB0rI8yZMICSC38QzS5rlcrSGabpha5NzOCsMfQYxkVZuJTcT5IxmpDLcTZBwEA54xVdl CtuBBb+EDvSeruCVkMuTtyysxdVIAHSsUu3kllGJT2HPNaQhkMm1mILevrWpZ6MI1Zpo8txtK0cy QcjlqZoEc5iefcspTBGKrS6fDEG23BZm5GBmtqSyYMWjdcNxg8kVXi0244ZgHycjLDJ+lQpFuPcz oIpEBaKQuByVPUVsJLixNwq4ZeCvvUcluySgIBu6EVDFcSxS+UAGVDkq/QmlKRrRgubXZbmla2DF UlkZHLjLc9DTLtooyVTEpI7Dp+NWZL0S2pUxom/gMvTPpVCdHjZF2HlsZVSRihMU5cz5mFpfskUq SAYAyvH6VQa83sW8wjParF9ELe12KG3SHkms+O3UxjcRnvVxS3MpN7I29XsYo5PJjO3t8vSsqWwa WJYriOMqPuvjBFbt1aMbobWyrnCkHP51n6tcrFm3mUo6HAGKrXYXuvVnNXEP2Z/LHDI2PrVuCYRS NmJGIxtJ7VHdXAk82JlAchSHI+tTWyxyuG3A5GD6/WruYpIs3VqZIY5GyxB3ADtTrWWMJHC8T+au RuHAI/GrcA83905wQOvt6VJJGkUQ2sgwcgmp9TTTdE8QYJyPl9M9astcpEhfuOuOlZxuV2HdJtx/ d6VnvehmKFzjsfWlYqN27IkuJ5726Eodgin7oqRIijeZnbk87u9Ql9pURo0YPJYjrViLcrht5Zzx lhmk2+hr7OEf4j+SLxd2t/MVeQMbm4A+lZN1M0ducc4ySR3q1O0rsFZ2fH8IFZurXUVlbhHUtI/R V60ox11CpWXLyxVkZMitmBlBYZ3EGtzTrsLF5BQKR0J71St4ncJIBtO37uKtXACSb2YYUfNjH5Yp x2OOmtGxt5KrK28koPvYPWsm7gju98sSkADB2nNaCWzXm9iCsR4wagvWSzdFtYnkxwxQfLj61a0L krmNGkCHZlzIPUGrKwxs+8hsgZyOKju53DboIxvPU96EmuUDrKFYsM8HpVmNkMjkPmliRt+vNaST A4V5uSOOK55Yrjz8/L7BetWRM4wJYzj16EUNCTaOljuVt0AZM5P3s81pxTpLGHXIPquTmuVjnPl4 V8gdMitTT7mSNlMYJY9R2NRKJpGdjUkmj8zawKsO/SpIwu/zCflHc0TzwXdsqkBeeTjkVmzTSW4M LtiAjhutSauVi3c6wEQiBQT3Zqz21KcEyhyxY4xt6VXji8yRRC52553DqKVpS8hDhgqnjC1VkieZ 9ySS/u5AoeVlJ9scVsaRbjf5slyhI5GarCztpHUu77CvVhgZqwYIE/dQuSDySvP61nKXRGkV1LOm EtfSTyAMAc81Y1LULpbV2jYxq5wuAKhtoI2jKbmAXk7e/wBaravdRiNLVWLM3UAdPep0buVqo2ZY hs5ZPLKyySkjLMCMD8aiNmsKZknl3DnYpyRVZrv7DaR2yyEZ5Pqant7yHT5GM5LKy/KTzTa0I5ea SjYWeRLXMmJmLdPMI6/hSw2sUy73vI1ycnHJJrOu9QingYxsTycIf55qjbmZcqzLknIVeaFG+ppO fs17NO/f/I0bW6hl1Z7OR5iiNkDIFdOkEJtsW9wUkzyJCDkelcjB5K3YuJIiJT/ETWqt+I1DGNWB 45NOcX0Ip2Ssy9fB4TDFLbvK0nyqU6AVVfTijlQ4wPWlXULeaWDzjMhjbI2ng+1aRurNyWMQyfU1 OqNFZstq6afJC2YjIAGKZyR9axbqCXVbuVymZQdw9DUUt4I9RSZLcsMDO7JOPwrQtLqWJXdAqKDn IIJPpWrRjc5a82zxkHCSIfTrVSwuIoJC0ownYjqK27+2WWRjGNwY4Jx0NZSaVIoztOCcYIOKcWrE TTTui0+rRJ8y/OD/AAng02aWSYEpnGMgVUudPkt5ArAlc8ZHGfrUXnwAtFJJIGHCqh6U7dgUnezJ vtjA7WiIJHILcGnLPsQB7YcHOQeapKwZsCJiw7k1dVSACUYA46mhx0Kp1OWSkXrdxeORDcYYcgMO tOaa5hblepwDjIz9RVJICA0kR2sv5mtG2vo1tJDLjysZYHsfWlfS46i5JNMrm6v7gsLcIGA5JU1R W18uTzruRZJm4AJ6VoDAX5blWRhnIIH60yGOaaSNmt0Eanguck/lUcze2hnaUyrI8qFCpZN3QgZP 5Vdj0+NDvlO4gZO44FXZImaMlQA7fKpxyK566trsMCLg4J+YE54oW1ka2UOhYuZYmnDvIwgTGVQ4 3ewp/wBqa5aQRlYkEeRHwQR6VlXKgQeU0g8w8/7tWdKjijZPOYZUYwT1rRJW1M+ZtkkFhezXJRUW JMd1/wAaklTSNOci6aSefOCijArYW7giJEs67pDtUBgcD+lcraWwvfEISRdyF/mJJIA9apNXIkrG nNa2Erwz2szRrjcyOvT8cVkz2s8Ykliglngz12HA/GuhtobU3QkuBm2ib7iqfn/LtWtceJN8D29v bpDbv8v3PmI+lTz62Q+S61OC8hZrYOH8rbztOQc+1WLe6aKHJYuwHbg1s3VjHeOEZwq5yZSuAPyr m7mGa0nMTY9UcdGq9yGnE3ba+juE3qNu3qCMGklmIlTMYeInkZzWGlwwhBH3vQ+taMMrXMCybWBX g47VLRSldGr/AGxaRW7eTpyqqHGMk/1p8V3DcOsYjCO/8ODx+dZEURZ3J3bDjdt5p9zaSK0TRPIG x65IqeVFKTR0VwSgTdMmzGNpGKoz2cj7Vjl2bmzlDisWG0v7254LEr3c8V0VjbXMcBuL11kWMY2g Y/GpceU0UufoX4rWWOyJLs/ynDAc/pWbBb7VkuGkYSKpwmM/jWjouv2M0UsU0jIFJCZHUVnPqVq1 yxZXBQNjB4P1pRjJXuacvM0ojzFZT20kz5NyBheuSaprZ3U7lPuuozlhxU1hfWokO4FmfkAqfl/G tyCF0IZdrrjawb3oaaV2W5Rj7sN+r/yOaK3VrG3ER9cJmkgt7/UpCkMSptUszkAYArthbqUO+CM4 GPkwahk+z2e1FALOCGPTg1HtfIj2Om5yMdjPJccAzBTjKg1sS2bC22+Szcc7V6V0UFyLS3L2yxcj GGWiz1GbcVKxEYyQBmhybCNOKWrOOeJ4GVcYz09qmdrlGK+Tux3Arp7wQSJNcNEqnBRVAzjis37Q q8KikDvTchKNilbxBrYN5hJZcJjvmrCxJZwh5SckY20UVte2pmi4rQXMCKkQWUDcXAJz+FT3OnnV oILct9nMYwGUd/eiipejLSuimss8UE+k3FtFJIfuysOceoNcTJp8qTzeW/3GyCe9FFF2noQ0pLUW xtxcTkSTlGHHTqfat2exeC3ilY/K/G7HeiiqbIgtLlVSFl2kjp+dVJYwxlhP3JFIwD1NFFKO7Na7 vGEvL9bDoRDHIkZUyxkjaq9SD2+teiQXfhs2Zhht/Jl+6YZFYMh980UVm3ytpHVRoQjhvbLe9hrw aVZIskik7cDg55rG1Cz02W1uZUI81jmME4A9sUUUrlyaatY5CTTxuYnYxJ+8GpV05xIGkYKh6Zx+ lFFaSs0rnn7Xsdl4U8H2OtW91cahdbIl+VFQAnNc3qumwaZrVzZwTlniPyleM/WiisoyvWcLbI0m rU1K+7I7G2urpRHbsVMYLt/XOfpQ6SQxRRtl5FXPvn0oorWFOEXdLUyewsJe6IjwZVRMsoIA96dP Z2lxaOyOjKo/dxk8g/zoorWxmynZ6TdyXMYhRGdDkK68MK0YXtTqyxvElsJDtYK3yg/jRRRJXRUd Giy9pbx3RYuFjY4BUf4VZe1gEZKzKR3C9T+dFFc6Ohk0It5D8oVSB90Gr0Fql3E9vjhhkiiiom2j SEU2Ykmjx2988UVtHvX5h8/A/Wmf2RayA+Yi7wOeSOfwoorSm3JXZWIXs7QjsEeiLbTROELxPxkk 4X2roIgIYikUybMY+YZJoook21qYxVh/nT20beXHH84+8D29KznW7veAoiKqecZz7UUVC0KepWnh vkiKupXjAYtiqQa4t5kdSwwMMVJOaKKtMhovxaqcLFOpw3C8VpxrD5YxDj/gQoopSQRbP//Z