20260401 11435000 1.0 TRUE OBI_Composite_Locator Address Geocode addresses against multiple address locators. Addr_type Type $Revision: 14$ $Date: 1/31/2012 5:36:09 PM$ FALSE TRUE Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .) Census_SD_Locator :: FALSE TRUE Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .) Census_US_Locator :: SanGIS_AddrAPN SanGIS_Roads_A SanGIS_Roads_E Census_SD_Loca Census_US_Loca PO_Box_Locator FALSE TRUE Postal Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .) PO_Box_Locator_2025 "Address" Like '%P O BOX%' Or "Address" Like '%P, O, BOX%' Or "Address" Like '%P. O. BOX%' Or "Address" Like '%P.0. BOX %' Or "Address" Like '%P.O BOX%' Or "Address" Like '%P.O. BOX%' Or "Address" Like '%P.O.BOX %' Or "Address" Like '%PO BOX%' Or "Address" Like '%PO BX%' Or "Address" Like '%POBOX%' Or "Address" Like '%POX BOX%' Or "Address" Like '%PO Box%' Or "Address" Like '%Po Box%' Or "Address" Like '%P.O. Box%' :: FALSE TRUE Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .) SanGIS_AddrAPN_Locator :: FALSE TRUE Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .) SanGIS_Roads_All_Locator :: FALSE TRUE Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Type=Database;Wks=(ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = .) SanGIS_Roads_ESRI_Locator :: FALSE ByDescr PROJCS["NAD_1983_StatePlane_California_VI_FIPS_0406_Feet",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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-116.25],PARAMETER["Standard_Parallel_1",32.78333333333333],PARAMETER["Standard_Parallel_2",33.88333333333333],PARAMETER["Latitude_Of_Origin",32.16666666666666],UNIT["Foot_US",0.3048006096012192]] -118608900.000000,-91259500.000000,131732200.000000,159081600.000000 {29B85A89-D2CE-4aeb-BC3F-661A3D2C296E} Address or Place Address2 Address3 Neighborhood City County State ZIP ZIP4 Country Name Address Address2 Name Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Address Address2 Address3 Neighborhood City Subregion Region Postal PostalExt CountryCode Name 100 100 100 50 50 50 50 20 20 100 100 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path = P:\GIS\OBI\OBI Composite Locator 2025\OBI Composite Locator 2025\ True 10 134152881068160000 12:55:06 PM 1024000000 OBI_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 IN_Name :: :: Loc_name Shape Status Score Match_addr Addr_type GeocodeAddresses new_library_layer "P:\GIS\OBI\OBI Composite Locator 2025\OBI Composite Locator 2025\OBI_Composite_Locator.loc" "'Address or Place' address VISIBLE NONE;Address2 <None> VISIBLE NONE;Address3 <None> VISIBLE NONE;Neighborhood <None> VISIBLE NONE;City city VISIBLE NONE;County <None> VISIBLE NONE;State <None> VISIBLE NONE;ZIP zip VISIBLE NONE;ZIP4 <None> VISIBLE NONE;Country <None> VISIBLE NONE;Name <None> VISIBLE NONE" "C:\Users\E102057\OneDrive - County of San Diego\Documents\ArcGIS\Projects\FindYourLIbrary_04012026\FindYourLIbrary_04012026.gdb\new_library_layer_Geocoded" STATIC # # # All 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/3.1.0'><WorkspaceConnectionString>DATABASE=C:\Users\E102057\OneDrive - County of San Diego\Documents\ArcGIS\Projects\FindYourLIbrary_04012026\FindYourLIbrary_04012026.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>new_library_layer_Geocoded</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>photo</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> library libraries SDC Library locations, includes all jurisdictions/branches/districts. libraries /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2aWzm jkYom5Cc5zzVeQDadyMCPUVt+eu8Jzn1xxTmRZBhlBpWKU2lYykZrfTlO7BbvUcd5coMk7h3rQls hJF5Zbgfd9qqSafcKMKQ/wClGoK3UtwmW4jB3KFPcDmpyFghZugAyaLeMx26IRggc1Q8QXAt9HnJ OCylRTJOW0dH1LxM87nPlsWz9DSa5I2p+I1tlH+rbYP51e8IwBLO5u269KpeH1a88QyXDc7CWyaA OzjjEUSRr91RinUUVkIKKKKAClVcmk7VLGOKaVwB1G2oqlduMVFRLcAooopAFBzg460UhyQcHBoA jVusTsd4XJYDAqC6AFrHhiw3D5ic5qdZEEfzyK2PlY+9V7vP2dU2hR5g2gemaa3Jn8Il5s86MEZb HBx0qvFs2koMDPIxVm7JEigL8uOTVdCSPmXBFcs/iYmOooorMQUUUUDCiiigAooooAKKKKACiiig AooooAugnZCeuZKrzXU/2iRUfaqnA4qwmPLhz03mqbwzSXUvljgt1r0WbRtfUet5cF1RmHzHrWjb sSGUnODWdDZTLKrOQcGrqF4pGyhIJ7UIUrdC1XJ+NLrEMNsP4jurpTLKeFQD3NcV4idrvXorU8lc Dj3piNQD+zvCRH3HZP1qDwfbkW81w3Vjtp3iyXy9Lt7dSNxIOPbFaWgQCDRoeMFxuNS9gNOiiioE FFFFABT1bANMoouApOTSUUUAFFFFABSE4BOM49KWolbMjurltowV96ABWjKruUAvztYVBcb2CBwB 8/GD2qVtxXzSjHcANnpUT7WuYoUHCDJ9qaFPYivCpcja/wAnzfWmKB97nJHepL1w0mEc7k5Kgdfa mA5Gelck/iYmFFFFQIKKKKACiiigAooooAKKKKACiiigAooooAujaInDn5UbjFMmZVtkKE7X6n1q aSB1jAA3c5aoNwQbChZT/AR0/GvRNCvas3mIA5/GtCNDMzMXIwcVAnkLIrbdpB7c1ahwszqOnWhD buKbZOrEnHvXDxkXnjAOBkBx+ldzcyCK1kc9FUmuK8KQibWp5TztyQfxpiDxa5k1W3hB4AAx+Ndd bRCC1iiH8KgVxl5m88XmPsHwK7jGKmWwBSUtFQISilooASilqvPK0ZGKTaSuBY4pKp/apPUUfaX9 aj2sRXLlFU/tL+tH2l/Wj2sQuWpHEcZds49hmmM5jJdiPLwMADnNVmu5QpKgM3pTFuXVmVSS2d3z dKPaILouMRbxOxYtnkZPT2qO3AjhaZ87m5Priqclw1xMF/hTk/WpmupQG5UA8LntT9pFaEppu4ty WMqsuNpHPHNRU53aQgv1x2ptc8nd3BhRRRUgFFFFABRRRQAUUUUAFFFFABRRRQAUU8RnHJ2ipRGM f6tm96uNOT2CxaEMi/6uQ/Q80paQD95GGX2qwKWu80KWLduqlOc+lP2MZDJC4ORyKsMit95QfrUT 2qNyCy/7pxQBn61PImj3O5NpKEA5rG8GxhLe4nbrnGa0PEyvFozgvkZqp4YKpocxI7n+VAGZphFz 4vaT/bJrvCoauF8KRmXVZpB1UEg12gmkQ4kj49RSAcVIptSJKkn3WB9qGTPIqXHsIjozQQRwabmp AdVW76irNVbv+GoqfCJ7FaiiiuUkKKKKAGODtJXBJ45NMdhDCAM56DNPbDkxspx1z2qPHmzZ/hTg VUV3Jk9LDkHkxgkEkn5uKXDMwLAADt1+lKznOEwWBGQewpUBVeTk+tDfUa0Q6iiipGFFFFABRRRQ AUUUUAFFFFABRQMscKCx9qtRWTsMyNt9q0jTlIaRXC5qxHbO33RgepqwiW0ThRjeabNNJ5pjQhfe uiNKMdWUkKI4YPmdsn3ppvDn5IjimCMA5blvU0+qc+wy4CD0NLVdgYWDL93vT2mVRxz7CruBLTS6 r1IFQhZJfvHA9KesCD1P1oAxPFUito7YOfmxVDRCY/C1y2OR0q34wwmkqAMZfFU9PAXwhOfUUwIv BqF5LkqdrY611TTSQYEq7lP8QrmfBpKJO2OPWutO2VPY0n5AQKsE53RkK3txTiZohyN6+o61SlhM bkcg+op8d5JEMMN4rNVVsxXLSzxy+x9DxTtoPSo1kt7kdg35Gjy5ovuHevoeK03GPKke9Vbsfd4q 0tyucOCp9+lQ3hDbSDkVlVXuiexRop5HFMrkMwooopDI55NkR9TwKWFNkY/vdTUf+tuD/dTv71LI wVOSQDwCBVvRWJWruNIDuVZDgEHPrUlIowAuSfc0tSUFFFFIAooooAKKKO1ABSZpfwpYYnnfavTu aqMXJ2QJXEXdI21Bk1aj09jgytgegqYLDZoOfm/nVSW4klPzOVXsorqhSUdy1EtmWC2G1AC3tVWS 4lkPzNsX0FRmOXbuWM0xUBOXbnuDWpWhNuRVVk5YHOas3BAMcw6HgmoUClAqJuPtVpYgbURz4H41 KvrcRCZVHQ5+lKPObkRnHvQJ4YW2RJub1pGnlJ/1ir7UrRW4F4gMMEcUixop4UU+itACkyO9NZ+d q9aQRk/eOaQHN+NmH9mwgH/lp/Sool2eCnPqKXxqAtjAAMDf/SkLY8F4H9wfzpgJ4M/49p8+tdLC +12T8q5nwfxZzH3roi22dW9aTAkuE3oT3FZp4yK1SazJxtkIrnrR6kyRF344qeO6miXruX0NV+9K 3KgVlGco7CTL8d9DKMSLt+tOa0ilXdE5H45qntGMYoAKnKsV+laqsnpIfMSSW80f8O4e1QkjJHRv Q1YS9kTh1DL696ZqGoWkNjLcSKPkGdvc0/Zwn8IO25nW9/HcXUsCdY+CasyEhDj0rjo4JZ7uW6jP 2Vt+0MjFgT7118UFzFbItyN77fmZehpVKDhZoyi3JDYMLb7uuRk1Igz84J+YDg9qitw4zlvlPRcd Kn7VjLdlR2DvRyKeF9aUjIqbDI6KUjFJSAKKKKACiigZJAAyTwKaV3YBUjaVwi9+tX3ZLOHYo+Y0 Rqlnb7m+93qoqtcyGVzhR1J9K7acOVFpWEVHuJMk5Pdj0FSbooWwg8x+7HoKdMd9t/o7fKOGx1qB AFUAVoUOM0wO/fyO1TTGFSjGPJYZqGNPMkC/wjk/Sp0lEzOrIPKUcGgAN1tQCJAtRFixLOSx9KP9 GPRH49KTdb94paVrgKdjDpjFJtTvyaki+ySkhUYHrgmoy9qCRslpcqA1qY7c7V60rttHvSIuBk9T TECIF+tPoopgct44H/Evt/8Arp/SouW8GYHZRVjxpGX0yJh/C+TVezfzfCjDHRcUAM8IN/oc49DW /I3yg9wa5zwkwFvdD0xW20wwaTGjQVsqCe9Urv8A1gqeKTMY+lV7s5cVlV+AmWxB1NSbNwHqKjSp h0rlIEViSVbrStTXUkhl6ijfk88GgArLvrq2lnbTrpCqyjAY9DVq6vEtjtbIyM7scCufn0+91WIi PULZxnKnByK0pxV7t2IlJ7It2mgvZTL/AKXI9urbxGcYJrp01JMhJFHPTFZdnHLaWEcdxKJHUYZv WpBGM714NV7aV9dRx91WRreXbXK/KQD6iomspY/uEMPU9aognPKnI9KtRXkqYwdy+9UqkJ7ml0xh JU4cFT796UEVbF3BKMSLj60hs4nGYn2/Sh0k/hYcpUIyKZjFWJLeaI/d3D1FQEg8dD6VjKDW5NmJ RRRWYB71bsodzGZug6VXhiaZwF6dzWhK8dvEIyDg8cCumjC3vMqKKkzG6udg+6P85p2VmLIOIUHO O9RtJHFEyRbtx7kUOPKtETu/zGugslt44gWljc7QvKmqw4DH3zUoHlW2P4pD+lNVNzrH69fpTQDn Jgtwo+/J1+lDL5UKwj7zcvSjEt76rGOKZu3u0h70LUBegx2FV5pdxCIfqabJIZGKqflHWkACjj86 0SKSFjPkyB1+8DzV/wAqOf8AeKwAPUe9UKTdj+LFOUewNG4qEtubrTywWhnAFV3fA9SawbsQSNOF 4xmnrICm7pVdFwMnqaj8z5T9aUWwMrxPqWlwwC1v5zGWGRtGaw7XxPoVpapp8ckr+c20EjueKu+M BevbwtaXFvBn7zSY3fhmuWs9R0iyvIRf6fLdXBIUXAIIB9eKsDptDhNm+oQ5yARg+1TT3Wzv1NQW YMWpXi7iQ6bxn0qvI5kmqJDR0NnIZFp9ycyCjTo8RA065H7ys6vwky2IkFTUxBxT65iA6d6hnYKh c8Y708nJqC6jE0Lwk8MMEikBzF1q1ySLqQobJpNmwjJI7021Fjd6ghsRcQHOTgFVNSS6Be2zRvA4 uYYzuELjpW3ZuXtDJLbCBhwVrplKKj7n9fIwSbfvFrcrHyyN3epAOKgts4LN95ueanrmlo7Gq7hS EFfmH4iloPSkUPGCM4/CgFkOVYg0yNsrT6pSa2AsR30iHEi7h6irIEFzHvKgduazTwCamm+W3ij/ AL3JrphUbTb6FJk509SfkkNC6eo5dyRUUYIhyJGBzgAVZjDXFsUkBDdM1cVF62KEM0cJWONcn2qO 8b96v0pv3HSJhhwevqKS+/16/wC7VjI41Ekqr27mkkbz7naOedv4VLJO1rhVVeFyai+2KFLrDiT2 p2bAfMQLjaeAowKdEcLLKOqjisZvFAF3PaiylnMIG9lA71p6fqVjdWvnR5WOTg7j3oAkiBW0kcdW PBpmeMBSatyzpHAhiCspOB6VSnvJU4Rl+gFC8gRAy+U2P4T0pfwpxdJYiWI98VXDnAXOO2a1jItM kLEnavJqRbdSMscmqJ1eytrprZmYSq6oeO7dKuNdIrY5qG7iuarSc4XrSqhzljk0oUKOBS5xXOZj JW2qfpVMP+7FS3L4Q1UP3QKcdxopa+ltJaQG40r+0TuO1fSs/TIo3kKp4VS2UDIJI61o6pqE+m2M TwuqmSQAs/QDPNZ+meINSuPEccMrI9rO0ioqryAvQ5961AIlK65PGSSWgyQTnHHSi1tXkm+YY5qt p7MniacOeSzDn610NsoEjH1NTJajRo2ybIwKguOZTVtPuVTm/wBaayq/CTLYavSlbpQOBmmO3Ga5 WQMZyOBVO9ufscImZGZM84FWlGW5+prD1jUCt6ltFdIhPylCM81UI8zJlKyNy3uIrmESRMGVhkYo mCuuwn8BXLWsF7pd1FJHMJLe4faVXoPcV1MUa53g7iRmqnFRd0xJuW4KpJ3EY4p9FFYlhSMcCl7Z pg+Y57UAKgwtOoooAUfeUe4qa7OLjb2UCo4xumQe9OuTuuXNbrSmx9CaFhlOgHqaniacTknDRn0P SoIFUxYIqNpFSUrh9o67TW1OXuopbF50SdkZWGUNVb0/6V+A/nTreRDKDFkAnaRTbz/j559B/OtU UQah/rcf7IrHi1KWTU5rQ2pVIwSH/wAfY0nie/uLXV7KCGaKJZgdzSDPQVXe9uYtOuJ2uIJ2jUso jGMfWtackk7kSjJ25ZWs9fPyMqRdmu6mGvJrYsF27FyDx9KntkMcdut+jLabWztz97PB4rdi1ayF pBJc/wCtaMEhVzVmTUrC2tw8siiOX5Y+M5NQyznp5Z38NaisW8QJIvkHnO3IpbON7fWLmEF/La2D 9c8mtu31jS3tZI/PVdz45XgH3ok1DTFl8iOTfP03Y4/OiLswRgaSQmoBQS+7O4hicfWql/ch7mRx lZElwAWIOM+nSuhk1TTrW4MUkipKACQF9aguNTsl1W3syilp0LB9taWKOelLya0zHJzcw84/2a7f YMDgfjVA3tgJvILRicMMZXqaH1uwhkaOS4RXU4K+hpQ8widTTHfAxSscCqksmK5TMjnOVx61EetB k3OB6VIADVRGipfzWUdgRqCb4GcKFxk5JqPT9W0ldWTTre3dZFUhJCnHuM1LqulnU9OMSTCF0cOr npkHNVNO0S1tLi1lm1BXmjZ2ZQR8zNVoDNVdnizB4JeujhT96frWJfQlfE9vdqytA8gAYeorobfH mOD60MZbUcVTl/1rfWr3aqEv+sb61jW2JkIW7VGzbiAKQZZjntTwNo4rkIKN5qVrZTBJZdrNwOM1 z93p15DqZuYoluInO5SDgg1VvbsMboXULrNMQqM68KPXNa2m6Qz+VM2pNMEx8qtxXWoqmrnO5Obs XbC1ks9LSGTHmsenpWoi7ECjsKjZC1wnHCjOamrCcrmsVZiGkoNFZFhjINNQ/wAPpTqa6nO5etAD qKardj1px49z2prUCa1GZ938KjJqJjukZvU1aVPJh2f8tJOvsKQWqgDk10Sg1BRRTWg63/1dRyW7 NKSGwrdanRBGuAadVRukNEUcaxSRqucbs0l4P9K/AfzqRv8AWIfeku4nabKqSCMVrEaOc8TWFxda 3ZTxW8c8cKncrnHUUyS2lbTbqAWEcDyoVXa3U10kyOIopGGCvykVSuWxIC3CgVpEaOTbR7iOQuok dmRVZVl2gEDFaA0WZrPTo4hvFvN5km49Bg1pDcx3hav6fysvHbpQ1oBy0ug3VxpetwpGA9xOHiOc ccVBbaDcKkNvIZ9qEEyeZkce1doozYy+m6gKB2FJagkc5daZNJf6jLFCCstsI42PdgDUK6Zcx3Gk zGEt5MBjkx1BOK6k0lVYdjjJbHUmfY1vISJN24EbSP5019HuWu7mRrc4eTcCe4wP8K7Wq8xxJ1oY WNOZgFqhJyadd3HOBVGS4IHFYJEkin5ifwqUNVS33uenWrgib0qkMZeLb3FhLFdkiADcxzjgVzOn Hw4L+Bhp1xGpcCKd2O0mumnsjd2txbE7TIhAPoax1sNauFtdPuY4IrW3dSZcjLAVSEyPU5Rba5Ba QqEt43DhR3J5zW9HLi4Ye9c94kQQa3Aw6YHNbS8XrD2H8qTGa6t8tUXOZG+tWQ3yVVJyxrnrO9iJ DE7/AFqSmL98ior2SSKxmkhBMiqSo96wSvoSx81vDcKVljVgfUZqG0022snZrdSobtmuZF/fpAph mYBT/GOZD6V1yMfIVj125NaTjKCtfczjJSewIzF23Dp0p9MhcyRhjxmnms3uWthpoooqRhRRRQA1 xlc9xU9ooeUOeQoyahc4U1Ysxi3m9dta0VeQ1uSQku7yHnJ4+lThSRxUVuu2FRUsBPmuM9q6Iq71 KEopkZJU59afSYDJTjafcUXjOsgw2ARSTcoPqKW+GTGexBrSGw0RyyEW0aucljTSnmMEBXPvTbj5 rWNgPu8VT8xt+7c2QeK0RQyRXikYHgjqKu6cCUkI+8RnFSsgu0WRV+ccMDUltG0O9tgA28UN6CIy piszGxG9znFFUZJHeQyFjkGrw6A00rDQlJTqTvTGIaqP87k1PMcRn3oRVCCpkwHy2u45NQ/ZAc5F arjNRhRUWJK9rbqq4xyKseWM0xHCs31pTLzQgC4jUwSAsUyhBYHkV51qg06OCU22p6jcXKn5Y1kJ 3H0r0KabCcAE9MHvWFrPm2iwSWNrEC338RjOaE9bCMvXyzSafuVlYxLkN17da6RIv3+/1A/lXO68 Jp3spmjb7nzcdDmupiwVQ/7IpT2Ak6LVUcmrMhwhquK5au5EhGUN04NYlxJeRSFba5ikcE7o5Dz+ Fbh4BIHNcleTWsszm9s5oZcnEsfeikrsyqPQ1rGZrybbdWHlSR8hj0rSuDiMIvVuBVHQI5U01Gmd y78/PyQK0MI78HlDRKyn6AtYj1XaoA7UGg0lZXNAooopAFFFFADG+ZgPxq3bcxT/AEqqnLE1atf9 XcD/AGa2ofEVEnj/ANWv0pYf+PvHqtJH/ql+gpYv+Pwem2uiO5Q1OGcehp9NMcwlchcgnNLsuf7i f99UOLuA4x7ozTJMyWQP8SHBqTypSPmkCD0HNOjESqYt+4t1q0rDKSOUXGA6HnBpxSN4y0XyOoyV 7U1lMbsh7Hin24zcEdihq2uozONxKuHBAyccVds3kZJd7biBWbN0wAeGrSsukv8AuU2lYCjnIP8A vVoD7orOH3D/AL1X1p32GKaTtTjTTxQBBMcyBfSpFHFQdZjVyNfkFZy2Bl1+tMbAGaKKCCgZMEnP U00zY70UUhkYuAZRu5UGuc8Sxanp9hPfHX2QdYoti8+1FFCAh02O9h1OOG5v2vIri080B1A2tn2r sLfmOM99tFFE9hEkoJUACoMEHniiiuSotSJGfcaxaQXRtnk2SercCotRv4oLSMxhJWdtqjPU0UVa pxVmYOb1RpBgsQJ4GKEVQCyj73JoorHoadRaKKKkoKKKKQBQehoooAbH92rNr/y1HqtFFbUfjGty xH9wUqHF0p9Riiiuhblgxmad1EhUZ7U/y5e8zH8KKKsYeQpOWJP402WMIodF+ZTmiigBl0N6LOv0 NQI4jkV+3eiiqWwDLiACRk4G7kGn2ilFmBOflooo6B0M9fuf8DrQWiiq7DHU1qKKYyqnMjfWtKFf 3YooqHsJn//Z