20221026 13123000 1.0 FALSE ugrc_composite_locator Address Geocode addresses against multiple address locators. Addr_type Type $Revision: 14$ $Date: 1/31/2012 5:36:09 PM$ TRUE Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = 00) ugrc_address_point_locator :: address_points roads TRUE Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = 01) ugrc_roads_locator :: FALSE ByDescr PROJCS["NAD_1983_UTM_Zone_12N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_East ing",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-111.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] -5120900.000000,-9998100.000000,14875300.000000,9998100.000000 {29B85A89-D2CE-4aeb-BC3F-661A3D2C296E} Address or Place Address2 Address3 Neighborhood City County State ZIP ZIP4 Country Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode 100 100 100 50 50 50 50 20 20 100 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = ..\..\..\Packages\ugrc_composite_locator_package_9d855d\v101 True 10 133069740694700000 9:41:09 PM 1024000000 ugrc_composite_locator SingleLine Single Line Input Address SingleLine FullAddress Customer 100 {3D486637-6BCF-4A0C-83DB-A02D437FB8FC} True True 10.0 FALSE FALSE FALSE FALSE :: :: IN_Address IN_Address2 IN_Address3 IN_Neighborhood IN_City IN_Subregion IN_Region IN_Postal IN_PostalExt IN_CountryCode :: :: Loc_name Shape Status Score Match_addr LongLabel ShortLabel Addr_type Type PlaceName Place_addr Phone URL Rank AddBldg AddNum AddNumFrom AddNumTo AddRange Side StPreDir StPreType StName StType StDir BldgType BldgName LevelType LevelName UnitType UnitName SubAddr StAddr Block Sector Nbrhd District City MetroArea Subregion Region RegionAbbr Territory Zone Postal PostalExt Country CntryName LangCode Distance X Y DisplayX DisplayY Xmin Xmax Ymin Ymax ExInfo ROOFTOP FastFood 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_UTM_Zone_12N <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_12N&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-111.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26912]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26912</WKID><LatestWKID>26912</LatestWKID></ProjectedCoordinateSystem> 20221026 15182600 20221026 15182600 Esri ArcGIS 13.0.0.36056 FastFood FastFood FastFood File Geodatabase Feature Class dataset EPSG 6.11(3.0.1) 0 Simple FALSE 0 TRUE FALSE FastFood Feature Class 0 OBJECTID OBJECTID 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. Status Status String 1 0 0 Score Score Double 8 0 0 Match_addr Match_addr String 500 0 0 USER_Est_Num Est Num String 8000 0 0 USER_Premise_Name Premise Name String 8000 0 0 USER_Establishment_Type Establishment Type String 8000 0 0 USER_Permit_Status Permit Status String 8000 0 0 USER_Premise_Address Premise Address String 8000 0 0 USER_Premise_Address_2 Premise Address 2 String 8000 0 0 USER_City City String 8000 0 0 USER_State State String 8000 0 0 USER_Zip Zip Integer 4 0 0 USER_Service_Code Service Code String 8000 0 0 USER_Reporting_Area Reporting Area String 8000 0 0 20221026 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAopGZVGWIA9SaWgAooqK3nW5gWVUdA2flkUqw5xyDQBLVe5vYLR4UlfDzvs jQDLMfoOw7ntS3szQWcsqPCjKuQ07bUH1PpVPUdQsra7tbWWaKK+uA4tGkQkbsdj+PTPNAmy9Hcx S3E0CNmSHG8YPGRkVLWTcT6qukmO1ksZ9YiVWkjOQjevGcrnsTWhM8ymIoIgm796XYjAx245Ocda AuTUUUUDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAp6tCZ9JukSBJ5PLZo4nGQzgZUEfUCuZj8U63p9lbS6v4funDBPMltkB25UZyucg7uMeld bci4a2cWrRpPj5GkUsoPuARUozgZ60EtX2IpnlW2d4YvMlCEpGW27jjgZ7U23N0WkNwIlUkGNUyS BgZDHvznp2qeigoo6xf2WnaZNcahtNuBgqU3bz2GO5NYkviTTpLjSf7VW5sLmYvNb2zJv3AKeW2g 49QODkV1NUL2+gtb+xga3eWe4dkRkTPljGSxPYdPzoJZg2up6NpCalr96GtRdXLIJZVZndVAAG0L kD5SQOfWsbxNrdrqBh+yyXElpOVmR5w628jINyjAXfjoxwME4GRW9raRatJJaXUGprGsyxosUe5J MFWL49MEg5OMZ4rhPilpd1tj1oz3yK0xiWGQ5SAAYyAMj5jg9Rx60Gc20tD0CHxAb/w9dTrNHY3s MJldGAdo16himeMgHg9Km0TxHb6haWyTSAXhgWSYbcKp2huvTkHPHv6V8/6XZ+Jbu4uPspleW9ys jpINrA/MVJ3YBIHQ9fSup8ItJewtYjw8vnQMFe9DsvkRkEMXIILAjPAwKCY1W2e2WV/aajbC5s50 nhJIDxnIyKpaR4i07W5rmGzkcy2xAlR1IK5JH9DXM67LrixT21kEXT9kMtm6AqrIB80RIOdzcYHc U3w0bzStOtptWnTTbh5pXktI7XO9excjJAGCd2eaDTnd7He0VS0q/i1PTYbqK4hnDr8zwghS3fAP I+h5q4SFUsTgAZJNBoLRVe2uvtRLxoGtiqtFOrgiQH0Ht/WrFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFQ3hnWyna22+eI2Me5dw3Y4yMjP51NRQBFayPNaQySI yOyAsrDBBxyMdqbCIvtVwyTs7kqHjMmQnHYds1DeanDa6a98ivcwp18j5zjOCR645/KodLOnpYyX tvbfY1nJmm81Nj9/mfPT157UCuaRIUEsQAO5qpdX9rDcQWUlz5Vzd7lgAGSSBkkcY4HrVW9hg1Iw yGyF7bMnyukw2kOQDxnBGOf5VzunpFY+I9Pijs4o4rmaZ4/LmbMTKpD5DjkH/Zx+NAnI6C+0nULv w/8AYE1iaO74/wBMRArHBz0H5cVzfjHQytnCy3zT311JDaqt4A8TncTuK7TjjPTH+PT3GlwxCR7e 2kkedwsmLgrhS24kZPYknA+lYXia0sbZ9PXU9Tumha7Q2tvuGWkzk7nbPHPfHoKCZLQ4bTPBeo3G tzRWVzo5+yIkbxOxcSkLjfhDkck4J9K7TT/CN/ollZNY3ttJcxzNLO9yXMYG1gAgBGB8xPPqayvB tu0HjHxRPbaP5UMW2GOFCMk7jnDE47E9e9b50oWOmBU0VjakSM1t5yk23yMCQed5bOMc4zQRCKSv Y6NbdHiZ7l1nVmWUBwCiEAY28dMjPOaS5sLG83ieCJzKgVjjDMoOQMjnGeayLRZL3QLS3jtHW0jg 8q5tbiMiSRfKGFU8DOSBngdelS6v4as9c063icS2ksKAQPG3MXQ4Izgjgfl1oNehpRw3SalJJ5yG zaIBYivzI4PUH0I/lVukQFUUM24gYJxjNLQUHQYFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFHWgBodGdkDqXXG5QeRnpmndawF8J6RaC4mhtrgySLl9tzJufAOBkt71paTYW+m 6dHbW0ckcQywSVy7KTyQSSaBK/UlubtLVoA8cr+dIIx5cZbBPc46D3qxRRQMq6jfwaZYS3lw2I4x k4IyfYZ71HbWu+3d5LqaZp49pcPt45xgDgHnGR6Cuc+JsX2jwe1sI/MknuYo4xnA3FuM54xXVWdp BYWcNpbRrFDEoVEXoBQT1sV7a7s4PKtInPlhQElJyjHJXbu7tkHjrTbrTYGmmkjtEaS8UQ3MgkKN 5eCM+5/L61e8mMKFEabQdwG0YB9aqrbQxz3NvHDOguQ0skyscbjheDng49PSgdhbZEsEt7CNJmij iwJXO4ALgYJPOf8ACua12OPV/GugWqJK6WzPcyuFYJjb8vPQ846VtTR21hsVoJ5Ps9nJi5lDSKFG Mqx6kng+pwazWuRDqGgBbmONVtpZDb28LhZgE+6g6DHUA88UEy7Gq0UEdhNb6lOirNIxI89ujP8A Lgk5HUDA47VH4k0g61pq2we4UiVW/cTeWevc4OQOuO+K0IvIufLuPKAlMYI8xMOqnnBB5HI6eopb qISxrmd4djh9yNjOOx9R7UFW0OB8Maa+marrCjxFFcTlYRdu4b92AWU/MT9739anvvBN+yzJJ4m1 6WOd/KhSKdiFUqR+8J7Z6nFUNJ0qz1Pxjra3eqm4PloLh4WaJGY7hsHP8PPc5z2rvNOsYdN3Rrez TM21FWaXdtAztAH079TjnNBnGN0c34O0bVtDtJbjxJqc7zI5SFPtTPFswMDb0JznHGa3r1P7YSOC G51G1SW3MizwDyxzjGSRkMOuOO+araOVOp6zYzeVJHBdrLEGlWRl3qG5Gcr82cZ/CtKXT1D3s9vO 8FzcoFMhJZUIGAQpOP8AGgpLSw2DUUdrSKBJrqKQMpuVAKqy8Hd6EkHtWhTEHlxKGYHAGWxjJ9ac GVs7WBx1waCxaKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuZ0Xwf/Y93 FcnWtTuWSSRzHLMTG27PVfbPX1rpqKBNJle6s1uzCTNPH5TFv3UhXdkEYOOo5/PFH2QfZ7eFZ51E JUht+Wfb2Ynrnv61YqOaOSQJ5czRbXDNtAO4DqvPr+dAzM8R+H7fxLpYsLmaaFBIsoeIgHK9OtS3 OkvcaL/Zy6jexNtC/ao5MS8H+9irEtmZy4luJTGXR0RTs2be2RyQSOc0+8gmuLV4oLl7aRukqKGK /QHigVupmzaFNcNbmTV74rAgAXKgM4BG9sDJPOcZxx0rJXwRcxpDHF4q1uONIyjAT8t6EemOe3p6 V013bzT2TQw3clvKQAJ0VSw98EYpZIJmMpS7kQvHsX5VIRufmHHJ56HjigTijlf7H1y18QWlmt/d 6hpE9rJHeNdMDt9MEYO45rGj8CXOk+JtEitfEF/9jj3ERtKxIK8sAOgVhwR/OvSUDKihm3MAAWxj J9axNQtdVk8WaVcW9/HHp0ccgnti5DSHHBA6N2+n40CcUbIgiWdpxEgmZQrSBRuIHQE+nJqjPpum ahPcJOFndihliaUkDb93K54/rU63SQSSx3d3AJAGlAzt2xZ4Jye3rWPL4j8OaZ4hlsZHhtr2ZVeW bywoY9gzdzjn0oG2upyug+BtAufFOvSvFBcWUMkYt0WZh5TYywwDyOR1Paum/wCEd8KnWjqQSIXs Um5j9pYAOoDZ27scAg9O9S6RZ6XFrerQwSQyTyIhuIY7dUQKdxXoOTg88/hVRIvDY8VPb+R5t7Oz RbJFHlx7IsNsB4+6QDjP6UEpJLYkm0Lwxb6zDftCv2me4wZBcHaZT8w3Ddgn0HuOKseJdDsrzSNU dmmgkuY082WIszEIcjC5A9uMZqTVPD+kHR1hbybCC2lS4WYYURshGCSfy5rUvILO9sHivUhmtXUF xLgoR1ye1A+XdWKd1oOm6no9vp9zCz2kQXYokZSMDA5Bz0NTaVo9hotu1vp8Hkxs25hvZiT65JJp 7PBYOHluNkczJFFGcbVboAuB3qKXR4Zdeg1czTiaGJohGH+Qg9yPWgqyNGiiigZH5bfaRL5z7AhX yuNpOevTOaSKJ45Jmad5A7ZVWAwgxjAwPx5qWigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACohcI109uA+9UDklDtwSR16Z46VLRQAUdBzRTJoY7iF4ZkWSJ1KujDIYHqDQBnalF/a0TW VvOUMU8f2jGVO0YbAPqRirOo21zd2hhtbw2jswzKqBiFzyBnoSO/anXUE72yx2dwLZlZTu8sMNoP K4PqOKdeTSQWskkULyyAfKiAEk/iR/OgVjP8SaTPrPh+50+2uPInkUbJSSMEHP8ADg1a0+1u7W2t Yp7pZvKgEcn7vBdxj5s5+vFVNTt9euNEjhsL20t9SO3zJzGSgHfaDn9aZZxeI00KRbm5sZNUK5jY xlY1Po2Dz+FAuosGlaumrteT69JJb7mK2i26qgBGACepx1/wrLL6uPiDp0FwbKaBbGR2aOPa6nIB POSATjAB9a6WFb06aiTyQre+XhpEUlA+OoBxxmuOXX9e/wCFjvosElneWqwK8u1Nv2fkbsnrn0H+ 0KBSsrHbyQxShhJGjhl2ncoOR6fSoha73k+0CGWMkeWvlfdGOh5Oec+lWKwjFftqCxajqUcaPdGS zjtgVdlXnY5PBGOox+NBTKejeIXudY8QRXNtbQxae6ANbt5jsDkfNgdfl6ds1p3ttfT67pksHlpZ QiR52IG9iRhVGRwO5+lUdI0hLXxlruoJsUTrCu1JQxzgliy9VJ4qW71u8g8a6fo0dqGtbi2kmkmO eCOgH6f99UErbUtauDqFnd2MEENw6qDLDcI2xwQSAD65A+lY1ofE2r+DJ4pLW007UGXbAJELIV9G Rvuntzn1roG1B2e4it7K4kkiVipdfLR2H8IY+vrjFWIElUyPLKW3kMqED92MDgEdecnn1oHa7G2i zGxt/taILgIvmKvKh8c4/GrFFFBQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQBl66uqy2kMOkSLDPJMqvOyhvKTkk4PXoB+NP1iLV5bNBpF1bQXIcFjcRl1Ze4 4PH15rRqK48/yG+zeX5vGPMzt689PagVgtvtH2dftXledzu8rO3rxjPPTFU7mK9uNRVVCpawx+Yj 7yC8vIAIB+6B19cj0rRrA0HxRBruravYxRbTp0wiLhsh+vPt0oB22NyLzPJTztvm7Rv2dM98e1Qh YYL0CO1xJMCzzIgxxj7x65P9Ks1gXV5rcXjG3t4bNpdIe0bfIMALLkkZPXoAP+BUA9DfqK3gFvGU EkkmWZsyNuPJzj6VgeIPFE/hrw7DqV7pkks7ELJDA+VjJ9W/+tSQeNdOXQ9O1LUPMtftwJjjEbSd OvKg/WgXMr2KHhXUI18SeJUuka2kkv1VDK3yudoAVT3PGcDsRXSyrnW7ZhexriF82xVdz8r8wPUA flzXO+EG07VrrVNQVjdyveGaOV4nConRNu8YyBnp6/Sqmr+NNP0/Vbu7tfDt9eXNopinvPK2Kqqe RuPJHJ7UEp2jqdpZ/bPJb7aYTL5jbfJzjZn5c574xmqmn3l9Pq2qW9xBGtrbui28qk5fKgsCD6Hv 71jeDte1nW4bu5vrFVs3ZpLKZePMTccKR6gY571Jba34ka11B5vD6G4gkRYoYpx84IyeTxkZHt+V A+ZWTNLVtdi0aWNrqJvsmwtLOpyYzkADYPmOc9vSrlhdSXkBmeHykZsxZPLJ2YggEE+hqqNNg1ew jfWNNtzPLEBLGRv285259v51eX7PZwwwgpFGMRxqTjtwo/KgpXuTUUUUDCioXt991FP5so8sMNit hWz3I74xxU1ABRRRQAUUUUAFJkAgZ5PSlqN4IpJo5XjVpIs7GI5XPBxQBJRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQBj65da5AsS6Jp0F0x+aRp5tgAGPlA7se3atGRrk2gaGOMXBAOyRjtB7jIH 1pbmcW0PmGKWT5gu2Ndx5OM49KmoEZlxf3jwailjYyG6thiHzxtjmbGflOeR27VheHoPE+h+HL37 fbJqN8JjJBFHOAWU4yMkADnJ6967CigLa3ObbXdcjmUv4cdbYW4mllN0g2tjJXHqKiOv6lc+LYrb TrQXekrbq00sbqNrOQQST6DnA5Oa6G+u1sbR7hoZpguPkhTe5yccCmpewG9FoARO0XnFcdFyBz70 Ct5mY089/si1Lw/IrLLiIl0lQEhvmODwMe38XSneH11ZNKt479VSaFXjkRgPnYH5SrDjbj2rbqKG J42lLzNIHfcoYD5BgfKMduP1oHYyPCt1e3mlzS37IZ/tcy4R9yqA5AA9hTLOSLxEb6WW0jBtZp7O B2O4MuArEjpyR09q0dJvXv7R53h8oedIiDBBKhiATkDrjNRaHJ5tvdMJ5ZgLuYZkTaVwx+UeoHY0 C7Gf4KuHudEcy28cM0U7wP5QYIxT5dyqfuggDjArcW5LXslt5EwCIr+aVGxsk8A56jH61W0nUpdR S6MtjNaGC4eECX/loB/EPY1KNStW1VtNVybpYvOZQpwqk4GT0z7UAthLQ3KvPLeOEDybYotwIUDg YOByeuDTWSLULl4rqwbbaSpJFJKoKs2Mhl57ZxU0kP2icpcW8TwxlZImJyd4J5xjjHGDT4vP3y+c Y9m791sBztx3z3znpQMlooooGFFFFABRRRQAUUUUAFFIWVcbmAycDJ6mloARmCIzHOAMnAyagtZ5 bje7Q+XEdpiJPzMpUHkEfKc5GParFRW5naEG4RElyciNiwxnjkgdsUAS0UUUAFFFFABRRRQAUUUU AFFFFABRUckbvLEyzMioxLKAMOMEYP8AP8KkoAjlhWbZuZxscONjlckdjjqPapKKKAKOraVBrNg1 ncNKilgweJ9rKwOQQfUGrC2yCdJt0hdY/LGXOCODyOhPHWpHdI13OyqvqxwKopcadBqTL9tT7VdY xC0+c7R/CuePfFAtB50uI6yNTMs/miLyhH5hEeMk529zz3rnNZ8CjV/FiawupXdpG1uYpltpSjue 2COg6H8K6/cu/ZuG7GcZ5xVK6uo01KztxqMMEjbmNu2C0y4PTJyMdcj0oE0nuEFvJptna2cAnuUU +W0s02XVcH5iT17CqF/ol3Jaulnqt3HI8Ihd3kJO0ZO5ccBySPmx26VuAgjIORWFrMduuoJMj4uj EfPRZMM9uud2Bznk9sH3oBrQi8MXzHQbXbbXjx+Y0ZklmErEDJLknBxnI5APtXK6b4y1bVpPs2ga Zc4S+LXU037wLEzkcZPXvgHj8K6rwU2lz6CtzpCzx2krHEMrlthBIPX161raZYNp9vJG85mZ5nl3 FQv3mJxx6ZoJSbS1GaTqh1OCeRrSa38mZ4cSj7+043D2qjpXim01jVZ7SztLwpF8rXLwlU3D+E55 HX05rXgu7e5lnihlV3gfZKo/hbGcH8DSWllb2MXl28e0E5JJyT9SeTQXqWKKKikt0kuIpmLhos7Q HIBz1yOh/GgZLRRRQAUUUUAFFFFAFa8v7awgea4k2qgDMFUs2CcfdAJPPtVOynn1i0u3LS29tKdt tIq7JNuBluc45zjIHStH7PD9p+0eUnn7NnmbRu25zjPpmpKBGTF4b0xLqG6khae6ixtnnkZ3yM4J JPbJrWoooBJIKKKKBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFMlV3idY32OVIV8Z2n1x3oAfRWfqep JomjSX1yJZxCo3CJMs54HA+tV7OdfENjepPHH9hlPlIEk+fG0bg+D8rA5GOoxQK/Q0rm1gvbdoLm FJoWxuRxkHBzVG28N6LZ3v2230y1S6yT5ojBYE8kg9utJrMGpReHpYNCKLepGFh8w54GB1PfHrWF 4Bj8Q28V9Z69eNO9q4jRWTPUZz5n8XBH09aBN62sdb9mg+1favKTz9nl+Zj5tuc4z6ZrmtT8MQap 44tNRuGkaKOyeJojHlHBJGN3b7xOOvH1rqqzzBqTa8J/taLpqwhfs+wEu+Tznt2oG1cwdQ8N22nS STaE11aanJAwhWJmMTFR0YE7e/GTUmr6Pqcnh8NNrccV7HbPHLdPEETDFSSRkgYAP19q6qsvUtLk 1C8QmRkgFtLEwDnkvgcr3xjrQS4roYvw1tHs/BdurSGRHlkeNsAZUtxwOnTOO2a6PT7a4tYZFubt rp2ldw7KF2qTkKB7DiqnhrTJ9G8P2unXFwtw9uCm9fTJwPwGBVnSk1FLMjVJYZLguxBiXChc8D8q BxVkh9lZCzE3715WmlaRnfGeeg4A4A4HtVqikyM4yM+lBQtFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFRy3EULxJJIFaVtiA/xHBOPyBoAkIBGCM1jafa6b oU81nYxSbp5WuJgpLeWWBOT6A7TimeJPEcPhxbCW4KCC4uRDIzE5RdpO4AdcED86fL4m0kQajJbX lvPNZQ+bMiv0GMjJAP8AXGaCW1cdqfiXTNJ0mPUbmZvJlAMaqpLvn0Xr359KfomvWfiCCa4sRKbe NwgkkQoHOATgHnjPcVU0fxPo+vab/aCyRxpG/lsZ8LtYjoCfWrmh61p2uWkk+myo8aStGwUjgg9c D16j2NAJ3e5LFrOnT38tjHeRNdRZ3xZ5XHWqlv4s0C7mmhg1a1keFC7hXzhR1Oe+Mdq1hFGJGcRo HbqwHJrNg8P2Fvqt1fR28I+0xLE8YiUKcE5J9c5/SgbuXbK+ttSs47uzmWaCQZR16GsbW73VjalL LS73f9o8sGKaNdyf38ndgfhn6VsxWiQz+ZGzqnliNYQcRqATyF7HmqMV/wDZbCQa3NDGRM0PmMvl pID0Iz7Hn6GgT2OJ0HXfEmitf2D+Hr7VgLmWVLxGCLIN2OOMHOCeueelbsHiG8tLed5PD81lJOst xEt1drhmABO88+Xnj2rqLOC1trOKKzjjS3CjyxEBtx6jFNmsop7yG5cZaJXQDAIIbGc8ewoEotLc o+Gr/U9S0dLnVrAWVyzN+6B/hzwfWtJbaFbl7kRqJnUIz45IGcD9TUtFBSQUUUUDCiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKCAcZHTpRRQAySGKYASxo4ByAyg4p iWtvHJJIkESvIAHZUALY9fWpqiETi6MvnOUKBfKwNoOevrmgBktjaT24gltYZIQciNowVz9KisNI 0/S5Ll7G1jgNy/mS7BgE4x07fhViebyIvMMbuMgYQZIycZ+g6mpAQwBBBB5BFArIjWcPcSQ7JAUA JYoQpz6HvUCy3P8AbEkJRza+QrK+0BQ+SCM5yTjH0/GrlFAwqhqelRaotuJHZDDKJAyAZIHVckcA 9DjtV+qv26NJ/KnHkF5fLh3kfvTjPy/r+VAn5lazOox6xeQzrGdP2IbUxoBs6hlPPXoeladZunyX KzmGTS/sqOGleRZg67yxyPXJHNXZbeOV45GH7yIkxtn7pIx078GgES0VBZxTwWkcdzcm5mUfNKUC 7j9BwKmVlcZVgwzjIOaBi0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAFFFFADXRZY2jdQyMCGUjIIPao47SCGQSRxhGEYjGOgUdBjp3oooAmooooAKQgE gkA45HtRRQAtFFFABUcMENtH5cEaRpkttUYGSck/nRRQBJRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFAH//2Q==