20211101 12580900 1.0 TRUE CreateFeatureclass "D:\23_10_2019\Documents\Eriplaneering\Kaardimaterjal\Tuulepargi eriplaneering\Tuulepargi eriplaneering.gdb" potensiaalne_arendusala Polygon # No Yes "PROJCS["Estonia_1997_Estonia_National_Grid",GEOGCS["GCS_Estonia_1997",DATUM["D_Estonia_1997",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",6375000.0],PARAMETER["Central_Meridian",24.0],PARAMETER["Standard_Parallel_1",58.0],PARAMETER["Standard_Parallel_2",59.33333333333334],PARAMETER["Latitude_Of_Origin",57.51755393055556],UNIT["Meter",1.0]];-34999000 -25103900 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # "potensiaalne arendusala" UpdateSchema "D:\23_10_2019\Documents\Eriplaneering\Kaardimaterjal\Tuulepargi eriplaneering\Tuulepargi eriplaneering.gdb\potensiaalne_arendusala" <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=D:\23_10_2019\Documents\Eriplaneering\Kaardimaterjal\Tuulepargi eriplaneering\Tuulepargi eriplaneering.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>potensiaalne_arendusala</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>nr</field_name><field_type>LONG</field_type><field_alias>nr</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>pindala</field_name><field_type>LONG</field_type><field_alias>pindla</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField "potensiaalne arendusala" pindala "!Shape_Area! / 10000" "Python 3" # Text NO_ENFORCE_DOMAINS DeleteField "potensiaalne arendusala" pindala "Delete Fields" 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=D:\23_10_2019\Documents\Eriplaneering\Kaardimaterjal\Tuulepargi eriplaneering\Tuulepargi eriplaneering.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>potensiaalne_arendusala</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>pindala</field_name><field_type>DOUBLE</field_type><field_alias>pindala</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField "potensiaalne arendusala" pindala "!Shape_Area! / 10000" "Python 3" # Text NO_ENFORCE_DOMAINS CalculateGeometryAttributes "potensiaalne arendusala" "pindala AREA" # Hectares PROJCS["Estonia_1997_Estonia_National_Grid",GEOGCS["GCS_Estonia_1997",DATUM["D_Estonia_1997",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",6375000.0],PARAMETER["Central_Meridian",24.0],PARAMETER["Standard_Parallel_1",58.0],PARAMETER["Standard_Parallel_2",59.33333333333334],PARAMETER["Latitude_Of_Origin",57.51755393055556],UNIT["Meter",1.0]] "Same as input" potensiaalne tuule arendusala /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3IxoW LgfMeB7U1j/k0gQOp3EgD3qcIPLDct3rK1xFbGTkCpEG4YPfvQ5B5+YYpN4wduPqalJXAeF6q2eK JBkbhgAVERcBuXBQcnjrUm3cAR0qvJACuOjjIxxmpGcIgCqWB7DtVfadx9qnhbhuM8URetmBF5sg GfKfJPTgY/OnMH8v0xzz1qcAN1qGU9l/GqaGRg7sAjNPyvfOelRIWzyB7VLIMYOOvNS1ZCBoiEyC CKciB4zkcg8GmNKeRnr1pRuI+UH1qdLgK0X93PXnioiMOQD04qzvIUcE8VWJyxx0zTkktgYoyvzd hR5yk8Bc9wO9C9cHoetGxSxYBQAOTjFJbAJuODxwe1KkjRkgcj6VBFqFjPJ5cVwjuegFV9R1B7No 1WEMXUkMzYUY9aLNAacT74vlHA6+9DkKu7Z8wHAHeqmk3BuLVZJFMe8Zwf8AP+c1ekUKM54yODV7 q4yBS7EtIjJxxzmpArGNd/z49sCnyMoibJ7cU3cVjHBx6mjYBhIP8JUCm7MEMelODZO08gelLtJH PSptcQ1mYZYfjRg4ByaD1AoUbj83Qe9IBXVFHy9e9IeEB7Dn6UFgBjGBSkgxhRmmrXBjQQeCTTlg +YlS3IzyxI/KiNARk09JVDEY+lNW6gRNHtJGc0KRk54PrUzhSc9+tQBwWA2knNLld9A2Age5NJkg dsCp/LJHXFQzBo2UhQynqSaOVvYAdmEWR17AetMjBCDDMB2G4ip1XjKkEVCUYE7W255waNUBKu51 GVAI6jNPhkAXac0jBAoO4qW9KjYkSdQcelF7AKxEillyFPYjFNAyKcW3jrz6UgXJGOtJ6vQCQMHX bggDkmhME7V6Uigpnd0I4pY5B6YIHBFNPXUBQMKSehOCKQAgcA4qNmMh5OKmgwM5bmhasByksART TEvJU/WpNoDZFNcb0IUlecEitPUZTbcwIBwexqyAcRoxycVFHBsbBdmJPUkVOF+YEdulSriQwxZf rSxoUlxngCleNWIY4yOn51IV6safKhikjFUppFEx6j8DVtWGMDg4qqzHeQecnrRJ6CYmMHrmhwWi dBxuUin8kY469aSsgOWhjjktURlyI/kI9COKFsnupBbwl2VAc72JRM9fxrXGjW5llZnnO5yQFkKh fpjFS2Ni1j5+6bzA7grkYIGMYNFwLaAK6DGRjB/L/wCtVhWd0xJGEHruzUCY8xjycAdPf/8AVVob RlcgitI7WAjmCpF1z6UhJOSc4NFwf3OFB69RSwOZIFJ69CTRYY0MFJA6npSkllyePWlAB5BGe1N2 NszznqaTTEIFBB9aP4CB1p0eeSV+mKhBcyYaPYPcg0raXAQg5ByQB1pQOKDknpznmhgyr7VIEkTH O3t60OAsnUVGpIGcde/pSsSDk9cU76AOzvyf1oU4Y9M9qaPnIHQ5p+wdB94d6auAoZiR70FlV8Ad TT1JwRjpUbN83zKOOop3aQDiQPu9/SmMwyMg5xS/Kw4BH49KeJolGCRketG4EIBOADnFIBubAFCn g570q8HJ5FRuBN5e4BSe3WkUAbgvanqyufSkRQCcNmtY76AIRuUce1LHCqnOTmngY9KaGZY8Pyw6 4qmluwHFE6kD8aNijlVGKhYAngnPvUiD92MsahPXYBzOowM8e1RzAjAB70m0Icscg+lOLFgAFOB3 NG+4EOWRs8cVKy7oSULKc54pjhS3GfmNSKqKN3zYHHNJXuAv3EyCW4HJppcnI/h9qcybwV6KelOR Aq47VTTuMVCG6dqq3IYy4U4J7ireB6YNZWsSeXYXBUlW2bQQcEFuAf1olsJlhYQCGaRs/wCe1Kow xH6VjabPcHUEgkuDIhhZgGAzkFe/4mtnkEkAmsgF2ZBPYdqli2jDbeehrM1W8Npp00g++VKoO5Yj ipdKtpINJi3TPJIRuZmOc59PanEC7GV3OxbknGPpSlxyFXJ+lM8jaxGeWGc/lUi9MA/Sr1AgBOCp PynrTVXyjtUnB6VYZM5YHn0qEttnAZQygdaizAmTEcRJPI5P+FKHWYZVsqDjih41kiOOARmmocrh QavyGSDauFppwHBPIzxSjaVxjFNdcj1xQ9gFKYJIxUMueCePbFTQj5WyelRzE7cjoaVroTHKn7vt 70i9Tk5yPWo95VcZJqZUxGCcA9aFqAw8y49qQxoH8xmbI5+8cflTi67+Bu9SKidjt5Vgc8cUW1Ae zsrbip2460xn3NkKST0GKkZsjGfzpRg43Dk0gG7WBAIwT0PUCmbHBOH7notTF8H+lG05P+NP0Agz xThg59qUIxGcH2pC3oKzAcrYXbnANPXCgbST6571EcUq8K1UpASs42g9vSnq6EZ4yR0qtncAM9OK VWwQQB9KamwJsEyfeHNOcKkZ3Nj61EV78g9RT/NVk27SW9KpNdQEiZJlDBlb+VTMNy/4VC0IEZxk YGTg45/ClVySf68U720YyPHyhieQTmp1UunzdTVYnC4PBJ6VMJQABgketSnrqIfjHGelCsCCM8io 2k4yOpGDS7gYxuOWJ7VSfQYjSsCBxVeeNZ0dZFBVuCDUpjYchuP1FBj3AsG61DuI5eJTG7CNsPBK yxvnJGCR/Lg1t6ZqE16sqSwKgQ7d6nhj3wKhn0yKaVpUZoZj1dO/1HerOmWzWNssLyK7BmYlU2jk k9Mn1ouBW1ewnm8uWJlkRQQYSMZz3BqPRL24F61hInyImcPwyeg9COtbe4MvTNVwoMoYL83QkelG zugLUhCsjfVTj3//AFVELYAlkc/Qml+/vXHDDAPpSwAKhznAznJzzV6MZGd6H0zUa5BJPUmp5mbb 93iosgIM9RWb3sImifjaegpxViODgGmRqD8xbbzUx5/+tVxu0BCHIk2hCQBy3ankqEJJ5PYU1sjg dTUa28TDzSAzetUMe0bbCT1PYUzy225xkVOrZHOcj2o3DOen1HWp5UxFeFdzM34YqYxqw53Y9M1D Iu35h8pz608ySdD0/KknZAP+Ve2Mc1GGkYnbjA6cdafGqsCT19Kc52jAHHeqTtqDVyHcGblcYoTO 7ODgUrIHVuM+hpEY/Kc/nUu24kOAGBnO4801lIPGac9xEjFW+8OcBSeKfvUgHp7Gm4lEQkbywqnA 7H1qJ22R59KYjSxoE8vIBOMEdKcmZHDuo2jop/nUWEKtoGtwxH73qW70zfIgCupYf3l/wq1kyKB9 0U2UCFclWb6dqe4XGKwK5XBHrmlHyckZFQbgHSRMje2GB+n/ANap8hhjtU2Ac7qcbSeKdD1OeM0w jHPpTo+Tn05NNbgTSsOB75qJ9xj7A9Peo92/J7A4z60EgetVJtS1FdNEkSeYcsamJC/LtGKZEwVQ MYprBlXdnFC0WgyNhhiFJqRcAZIGe/vUSkbvmHWnMCSWA+WpQD1OT0I9M0F9owRgGkJIIZunalRt 64bmqi+gEL4BwGBzS4z1zmpXtogpZUUN6gYNQqSQOe9KSsA9eAcg4xUF9ewaXCZ5mJGOAvUn2pbu Z4LOScKX8tScCuZVFV7eebdIqyBnZiW49s9s4P4UgOrt5/OhWbYyFwGAIwRnsafHHuJcs3U454Oa jRhIF2kFW+YnsRUrSkScfdqk7LUBJcgqGPHcA1Gy/KWBGKdKd03XgCm9M8Z7VL3AdEfnHtUjTAKM 459aiQlOcY+tKuwsd4U4PcU4uwCsWxkfdPf1p8avgjOBjPSo2Y9BwPSpQTwMcAU07sBpRcmTe3BH RiB+VBaNxjke9MYjBX0NCsoHzCk5ASMibCSegqNQCoABY01U8wknoOgqVEdORine4CpKU+UqMdKe HyeB+dIqHacjk0FSV54pq4xRgtz+VDquD6GoQkuTmTcCMYAxj8aeiLGmxcnP945pgJskUKUIII6G o/MYEg8EHkGrOQAMn6VDL5e/5kBOKTSExj4wdre3408Bdm30FFuq5dSASOQT709wMYXGR1qbaAKq lQO/1pJiynp8ppq7wAwyRU+A6AMPwqkrqyAozL5qHGFYHIPvRG+9A2MHuPQ1IybWINVjuhuSD9x+ /vUasCfmlyQCAfrRgA+1GMjJakAijaOBSjGOc4pMdqD174FACkYPBNDOWwCaTtikNK4C5+UjFKrk LjsaAMj6UhXnimA8tuTB/OjdhQFAqJl3Lz0+tSR7dhDHp0yaaYDwGLhmc7W/h9KiZDvYJ93rVrcN nGD1zUWPkB4zVyQMzNR1AQQG2ALSyoQFxwB0JJqjY2H2uImR5FjQlFVTjOOMk1fvbBbucSCeSJlG Plxg/mKoLJfaNuD2zXlszZDW4+dSfVfT6GouBd0+wOnSyokzPCwyqN/Ae/NaKo79MYplvmSIO8ZV mGSpIyvHSpJDsUkcAdxTSuBEBgnPrUyL8yseVpsYhkG1ZUZ/7obmpTwmwf8A6qcY2d2FgfOeB8uc mojA0koPmFFx90KP50CRpZQu11UcljjFSbsAngiqGGxWBCDkd805Gwm0jp1NRo2JARwKkyDIWxnt Sj3ERSpglgOKiXJOApOOuKuBwxxgn36imsgzuX5Se470OCuBBGTGAKkMmTu9KRkbcSQD+lQM37zB G0UlGTdkJuyuW423E89RmnKcA7iODUKw/KGV+acm0ExkHd3NUrjuP+VujYowSenSoymDw3HWh5No G1GbJ7ChDGyGQyKExtxzntTdjYHmY398dKkjYuW+Vlxz81PwR3pMCBWBZzjI6ZqZFwrLgcjOahiT bu3YyePpTgGRgakROUARecY6c04A5yeahdxwTz7UqzgdjmqUkA2YfPkHnvUUiechJHbp61PvVm5T 6mo2Uqx29COtS97oCqHmi4dd6+opy3Eb98EVOhA68UjpFIBuQE+tLRgQrcF5QoX5SpIY9/8AOalz xjFQzqDCx25IBxjrSo8kiDYox/eY9aN9gJc4+tJ3OTTDHKRzIo9gKUNLH99Nw/vL/hSsFiVRk+wq OSWONsE9fSkWR5AViH/Aj0pUiCZPJJ6k9aeyAVWWRcq3FKFy4AqI74nJCFlfkY9acqzueAn50coW J8qhEYb73B+tIu5GHoaqStKlnK8cYeYKxVCerDtmk02+F/YRTq3LD5lBzg96G9QLUq7GPIA6jJpm PMKrkepqVjuTJxkU2NRncxwWORVJICwEVFGc1CQJHOTgDpUbySMx8vAxxzViNVGQOmeT61St0Ack QUfKTikkAAPy5GKA5GRg47Go2/edzmiT0AdDwvzE4zgUkpUKQF570xSW+TPA5qSQAksDU30AjVTu 96mMTHlcZqOPiQFv1q1wBnpTgroEQr8pK4AOeaayTKQI9pUf3qR5AZM9hUm5inGMexpppgKGOcni oZQCOVXI6cdaXeWAVTg+9JHktvcZI4PtSuBIq5jG5cEevaoGuAxwFPHTNSOwAV9rkZ+6vNMkbBJU YYjjI6VSt1Qmn0IwHJ3MoH+6asRH5cMTgUsZdU+Ygn6YpGZBk9c+lS9HdsdrCBm3MAOe2aeJF7kZ +tAIYA9+9RJFCgxj9SadrDGowYsCc5FPLlgB2FNjh3n5eMU94/lJRunBxUW6rYleY5Yw3OenWmOF UDBpI3O3AYg+lPfbKoPAYepo3QyPfn5WH1p6MRweaYVJOVGQOuKmjkDKT6cEmhasEMMYLZX7vpSO oUcdamGAmSMVGxWReAQfYU2kBGemSOaiGRKRkYIzUrDbhTnPpio5V8tldwQo9qmwDwM8k1Mm3gEj A61ErRyLuidSppWjCDBPzULQC0EUcgD1qKX5XBA69qQSOm0EfhU+MnOK00khlQtgBSPrSKduT26C ppkLEAdOvSq9wCkPpngVDTuIztRujb6HeXIJVhE7Jjrk52ge+cU7StM+xKTnMjhQyj7owOAP8afq NkLzSbi0UYMkRVSTjDY4Oe2Dg1Y02W5+wh7yAxzA7SMg7vcY9aEuZgTSI0a579sUSptZGyemMZ4q Rt+VJTcx688LVHVbi7ht4/skImlL/MMZwuDzjI9qpqy0AsKM5C9c1XvNUjsZRGUlZim7CKDx+dZt rrMyxss8Ekrg8tEoXJ9CrEEHt/nFaIS11a1t5Wg3h1Dqr4yAR/hUICzb3AliSZM7XGQDx1qx19Pr UUaeUoAiwq8AegqVvuFhkZPINXF2AYw2IdgXfnqelOXJQEkZ746U0gGMZcLUYYqSB0ocrAPkkDYG OlK0+U24OfWoiBjrzSdDmo5mAp4qWMlRyvy1GDg5NPaJ2A5ORRBai9B0qhgHCnFMiYRu3fd0qRSw iO4jOO1VySMYPORiqejGWSDnLHAzTFUCYnPO3vQSzjH/AI8TQFVfmB3MOwqr9gH88Enj0qsVPIH3 u3NWd5YjcpHoKZNwynOBRo9RkaRy4AduT/d4qcNsG3YePalEgJBBzk9qia3eQ7vtcqey4x/KnvsA 9JAoIA5+lIdvlMf4iaWNUcdwQOtPIiAAqFewisjIrMp5YcjFPQKScjJ9KYYCkjSHP0FSqA2cd6QD mwpwuASKaybPmXg9MU4IQwJIwOtP2k85wvpVWuAzzFIAJ/OmKnBwwB9KbPbYw8SBm96YN20cEHuD 2pSAeJWDMGzz0OKnQAxqGIJPIqup2Mueec8VOyK53K3JppghiIpJXHI700Nzsk/BqlYlW/DnFQu5 bOBxSegEzKNhUfNjpSRP25yBgjNVhLswrE7fapl2gblY4NF+oE7Fh9zqapzKzTYPzFFzgdzU5nOe mFNRxTRtO+ThicAe1XoxhBubJeNl+pFORvNfcR8q9P8AGmSOXyqdCeSKUyMg4A56CpukIllcxkcd ajV8bmK5J/SmFnb7xyalj2ouHPXtS5rsClJpVveyNKymOXGPMQ4PTv2P0ORWPZXV7YRlV8qZQ7KA zEbSGIODg5Gc479q3Jb2OLVYLJRuZ42mY/3UBA/Mkj8jUJ0WxJDJCcd8yN/jRbQBNO1ae7uCslsq oowzpIWAPpyBV9i7M3PvxVaGCK2jEcSbVznGc1MjheDj2NTzX0AZ3ySaUH0oZduSSKbu4wKmzEPX pkjj1oxltqgmnxxxvGd5+ozTnTCjYuFAq+XS4yHa6N938DUgWVuQwU+lOLghcvj1BobcBnO4UWAj bcSFL/lTTH5c2WO7uOalKjyuOq9aaEEoP94DjmgBeCRlEAz1pzOrKVBAUVXXIJU84Pc0EluEGT/K i7Asoijq24+tDbGG3PNVRuXg9PWnAkmjm8gLAARMAfiOtP3bRggn6Cokk6lsk0u6Q+gqr9hjgAG2 qCfWjawADY2ikEoGOpJ64phLNxuHIpaCHeaEVuc+lIW2qAOPakVd3ykdO9ObaAVxk0dAFIYYYEVK pBQEmo1Rm6jg0uH9QB7VSGScVVYESsVPAHep4sgHrj3qJ4WAJ6gnmlLVCI1BzuK8HoanQgZwOPUU iqQAsnTtTzlYSB1FJKwAy78HrUXIYqOV64qXKKoLHbnrk01mi5VXQH2PNU1fUYNFGycnaPWs8iaK TavzL/Cc9qshthwwznsaayYwcEEZOPapumIRpXePdtwAOOOaZEB5QHUtyT3psjyeW/CnjjHWkRJV 27iyZGFLjg/4VdtCrE3mMq5KjA7ClwTk9zTArRZaV+D+AqclGK7GA56Z/SpavqKw0OFAGRk/pTC2 SSATSkYY96em0rzx+FZ76CKM+mTzana3kcoQRKVcAZLDsP51qxx44JIogPyYGBxTHkmEm1I0K+pJ B/lWsUtxiSFFOFAyOtR7cseB+VTeWpjGcZ7n3pPLEYBL81DTuIFwyAtjINM/1jdsCmbyD8pxmnna eeAcdKHqkA0g5OMY6cVISfKAH0x61H5bDBbIHtUhj2DIZiT2pqIhuwLgNjp1pI2AbaTxSyNJ0PHt SANHhivBqeugySTYQSDjP61GAeq9aeR5iZ+UfSkVxsJUYbGOKfUBm1JJCTjPcZqSOMgZBx61WyS2 7vnn2pdzDnJJNK4rk8pG3aCN2egqLv8AzpF+/nsRk0jnH3EdvcY/xoeoyVD+72Zx1zR5oXjctQqC ygkEexNAXIzjNF2Fy1sBAAOSOvNMCsDjv3pBkMNvryKewZzjd16809GBKgwvbNNKbn3cADrULIw+ UfMRSAN05z6U76bBctL6YwB39aCdoJyKpCTepjIbb78VPFhhtx90cZNO/TqCdycOuMlhTRLuPyjj 3qF8L1POOaYHLKBGSG+lHMwHMxaRieOOlOiY7wpPBGDUfQ5bBY9cdKdjKbtuCKi+oFhokYYKhvYj NNMKZyEUMe+KjRnXqevrTld8MxbpWikMGUqvzLkDqc9Kr75JPmCEjOASKt/NL94EKP4T3pi5ZTt4 /kKTQESDaQAudvUipJgJEKYY56jFABQbF+8acqOoILAn0oVwIEi3ENO3mBeFXbj8TT3tYPK/dqFx 0x3pwQhzt6+hojyysH5JPFNN7BcqBmR9rLk+lWkMTyblLfL23EfpQYwThhx71Xmj8tQ653AjH+FK /kBZP7tiQQB/doeRihIBHPU00qxGQBTkJx6jA4NCethAXc8EZPvQ7b48ZAIqRslQAOaaiDBBGPej XYCvt+bA5NPWI7irHkUgAaRsdqVMliTz71CQEz8pkZH0poIQKMkknqxo3jb3x6VG6g8g8jp7VbfY Y+QAj7vNRySHyz8hPsDSl22nvgU5NipzyPWle4iuZDIMbSuOMZ/wpASgAyPxp7BSTt+72pjKrEFl Bx6ipYhAGJY8UZC9TRgKp2qAT6CiMLxt/GgAGWIOcAdDUnOPakOe3ajJI64FAC8BcflTQSBgUEc9 acoAFIBQnJ2kj3qdHUARyKA3b3pkoCtx0xmoyWmlHfAxVJ20GSujBs449qTzcHD9PfikInQbUbIP TiowgJIf5n9SaAFDIz8NkewqVSVyI0znueKckCYGAR9KlTKr83Xp9aqMQIBbMxzIevWmDMbse+cV aJ2gs3XsKpbt5z6nNKdkA9wCdwpATtA7daQ5AwenWlX09azAcw4BJ5qMPtlUY9zTxwee1MEpd2wo z0qk+oFgzb1xjBo+UQlVPPvUYUKuSM596Tgc4NVzATKFKqS3KjrTh1z1BHFVsn8KcHbbtH4e1JSA kLnPK0MzjlRgfSkQK3Xt3qQygZG3gU/mAIXZfmX8aS4iDxEcfWlE6YzUDXCzHbES3PLfwj8aq+g7 ghmCAGNWHqpp6ygsFwVbsppQQseN3TjjvUbbZIcNgMD8pHUUXQEcOoibUZ7MoUliAYZ5DKe9WH+9 wxzjpUIIik+YqzyDAkwM/Q1YTrknORxQ9dAIiAy5AJI4NOwseSScAdKduEYOTk/SlVd6hiCG6Ukh EabXXIyQemRihQg6/lSYdTjJ4OckU3G7Pc+lIB8nMZIIwO1IfQ8AdqRtqoQPvY6Go13OOtJvUBvO OD+FIvHXrUm0nPy5xTCQDUCFI9qZna2ex608NxzTX+7VIB0jbEJ6fWmROJVJDZ+lRTH5QXBOT0qW LYIflGM1fK+XmFfWw8cjr04oxSKKUsAeSKzAsyxsUJd8Y7KKbFtWPA696KKuWjKJAcjA6+lPEYxh uT/KiiriMM44I57Y703zFU/N97+VFFKTsA242+Xkk5xwKrqAq9OaKKie4mBJY0UUVAhz726AA9Oa aqBOvXufeiiqkrDJRgoR/FTRngdqKKAEbGTjpSDpk9egoopdQHbjjGTwO1G4/nRRVCuIqgnvjuBS uvy4AwvYAcUUUNWBAE3EAEZ9KTtzRRSa0GRJiSV3/u/KP61ICQeDiiihgxQxkbGRnp0p6h1UYJ20 UU0ACV2OM49femylclgRRRSu2tQGliQCTyKlhAO4UUU4asBhJRiB1phXIz2oopPcCIkAcc07OMc0 UUhAAGPamIMSMPQ0UVcHZMlq5ITgcYOKUDFFFZso/9k=