20241001 14162700 FALSE New Address Locator Address US Streets with City, State, and ZIP $Revision: 14$ $Date: 9/15/2006 11:26:40 AM$ {B5D3AB87-EED1-11D3-9F76-00C04F8ED1C4} {43BA3ECC-0120-11d4-AB58-00C04FA379E3} LocationQueryEngine TRUE 3 TRUE Street or Intersection City State Abbreviation ZIP Address Addr Street City State State_abbr State_name ZIP Zipcode Street City State ZIP 60 40 20 12 TRUE FALSE FALSE FALSE us_addr5.mat us_addr.stn TRUE & | @ us_intsc5.mat us_intsc.stn {D9052385-AB46-11d2-AADA-00C04FA379E3} {68F5E953-06FF-11d3-AAFD-00C04FA379E3} mtchloc mtchloc ProgID = esriDataSourcesFile.ShapefileWorkspaceFactory; Path =   True 10 60 City SufDir1 SufDir2 PreType1 PreType2 HouseNum PreDir1 PreDir2 PreDir PreType StreetName1 StreetName2 State SufDir StreetName SufType SufType1 SufType2 ZIP XX CT SA ZP {1845B140-FC3B-11d2-AAFA-00C04FA379E3} mtchloc SDEX,mtchloc,SX,"" ZNSX,mtchloc,ZoneSX,"" SpellSens,mtchloc,SpellSens,"" STABBR,mtchloc,StateAbbr,"" Substr,mtchloc,Substr,"" IdxTable1,"IndexTable for Primary table" XID,"Soundex foreign key column",Y,$Table1.ID SX,"Soundex code column",Y,@SDEX($Table1.StreetName) CTSXL,"Left city column",Y,@ZNSX($Table1.LeftCity) CTSXR,"Right city column",Y,@ZNSX($Table1.RightCity) ZIPL,"Left ZIP column",Y,@ZNSX($Table1.LeftZIP) ZIPR,"Right ZIP column",Y,@ZNSX($Table1.RightZIP) ZIPL1,"First Digit of Left ZIP column",Y,@Substr($Table1.LeftZIP, 0, 1) ZIPR1,"First Digit of Right ZIP column",Y,@Substr($Table1.RightZIP, 0, 1) STABBR,"State Abbreviation",Y,@STABBR($Table1.State) GC_CSZX SA, " AND ($IdxTable1.STABBR = '@STABBR(%SA%)')" S1, "($IdxTable1.Sx = '@SDEX(%S1%)') AND ($IdxTable1.CTSXL = '@ZNSX(%CT%)' OR $IdxTable1.CTSXR = '@ZNSX(%CT%)') AND ($IdxTable1.STABBR = '@STABBR(%SA%)')" @SpellSens(%S1%, $Table1.StreetName) : AND $Table1.ID = $IdxTable1.XID: Lox1 PreDir1,Table1.PreDir PreType1,Table1.PreType StreetName1,Table1.StreetName Type1,Table1.StreetType SufDir1,Table1.SufDir LeftCity1,Table1.LeftCity RightCity1,Table1.RightCity State1,IdxTable1.STABBR LeftZIP1,Table1.LeftZIP RightZIP1,Table1.RightZIP Shape,Table1.Shape ID,Table1.ID $IdxTable1.Sx = '@SDEX(%S1%)' AND ($IdxTable1.ZIPL = '@ZNSX(%ZP%)' OR $IdxTable1.ZIPR = '@ZNSX(%ZP%)') : AND (($IdxTable1.ZIPL1 = '@Substr(%ZP%, 0, 1)' AND $IdxTable1.ZIPL1 <> '') OR ($IdxTable1.ZIPR1 = '@Substr(%ZP%, 0, 1)' AND $IdxTable1.ZIPR1 <> '')): SA, " AND ($IdxTable1.STABBR = '@STABBR(%SA%)')" S2, "($IdxTable1.Sx = '@SDEX(%S2%)') AND ($IdxTable1.CTSXL = '@ZNSX(%CT%)' OR $IdxTable1.CTSXR = '@ZNSX(%CT%)') AND ($IdxTable1.STABBR = '@STABBR(%SA%)')" @SpellSens(%S2%, $Table1.StreetName) : AND $Table1.ID = $IdxTable1.XID: Lox1 PreDir2,Table1.PreDir PreType2,Table1.PreType StreetName2,Table1.StreetName Type2,Table1.StreetType SufDir2,Table1.SufDir LeftCity2,Table1.LeftCity RightCity2,Table1.RightCity State2,IdxTable1.STABBR LeftZIP2,Table1.LeftZIP RightZIP2,Table1.RightZIP Shape,Table1.Shape ID,Table1.ID $IdxTable1.Sx = '@SDEX(%S2%)' AND ($IdxTable1.ZIPL = '@ZNSX(%ZP%)' OR $IdxTable1.ZIPR = '@ZNSX(%ZP%)') : AND (($IdxTable1.ZIPL1 = '@Substr(%ZP%, 0, 1)' AND $IdxTable1.ZIPL1 <> '') OR ($IdxTable1.ZIPR1 = '@Substr(%ZP%, 0, 1)' AND $IdxTable1.ZIPR1 <> '')): ILQuery,"Left Intersection Query" Lox1 $Table1.StreetName <> 'UNNAMED STREET' AND $Table1.StreetName <> 'UNNAMED' AND $Table1.StreetName <> '' AND $Table1.StreetName <> ' ' $IdxTable1.STABBR $Table1.State $IdxTable1.ZIPL1,$IdxTable1.ZIPR1 $IdxTable1.ZIPL,$IdxTable1.ZIPR $Table1.LeftZIP,$Table1.RightZIP $IdxTable1.CTSXL,$IdxTable1.CTSXR $Table1.LeftCity,$Table1.RightCity $IdxTable1.Sx $Table1.StreetName $Table1.PreType,$Table1.PreDir,$Table1.SufDir,$Table1.StreetType 0,6 $Table1.LeftFrom,$Table1.LeftTo,$Table1.RightFrom,$Table1.RightTo,$Table1.ID,$Table1.Shape Query1,"Main query" SA, " AND ($IdxTable1.STABBR = '@STABBR(%SA%)')" SN, "($IdxTable1.Sx = '@SDEX(%SN%)') AND ($IdxTable1.CTSXL = '@ZNSX(%CT%)' OR $IdxTable1.CTSXR = '@ZNSX(%CT%)') AND ($IdxTable1.STABBR = '@STABBR(%SA%)')" @SpellSens(%SN%, $Table1.StreetName) : AND $Table1.ID = $IdxTable1.XID: Lox1 LeftFrom,Table1.LeftFrom LeftTo,Table1.LeftTo RightFrom,Table1.RightFrom RightTo,Table1.RightTo PreDir,Table1.PreDir PreType,Table1.PreType StreetName,Table1.StreetName StreetType,Table1.StreetType SufDir,Table1.SufDir LeftCity,Table1.LeftCity RightCity,Table1.RightCity State,IdxTable1.STABBR LeftZIP,Table1.LeftZIP RightZIP,Table1.RightZIP Shape,Table1.Shape ID,Table1.ID $IdxTable1.Sx = '@SDEX(%SN%)' AND ($IdxTable1.ZIPL = '@ZNSX(%ZP%)' OR $IdxTable1.ZIPR = '@ZNSX(%ZP%)') : AND (($IdxTable1.ZIPL1 = '@Substr(%ZP%, 0, 1)' AND $IdxTable1.ZIPL1 <> '') OR ($IdxTable1.ZIPR1 = '@Substr(%ZP%, 0, 1)' AND $IdxTable1.ZIPR1 <> '')): IRQuery,"Right Intersection Query" Table1,"Primary table" LeftFrom,"House From Left",N,TRUE LeftTo,"House To Left",N,TRUE RightFrom,"House From Right",N,TRUE RightTo,"House To Right",N,TRUE PreDir,"Prefix Direction",N,FALSE PreType,"Prefix Type",N,FALSE StreetName,"Street Name",N,TRUE StreetType,"Street Type",N,FALSE SufDir,"Suffix Direction",N,FALSE LeftCity,"Left City",N,TRUE RightCity,"Right City",N,TRUE State,"State Abreviation",N,TRUE LeftZIP,"Left ZIP Code",N,TRUE RightZIP,"Right ZIP Code",N,TRUE ID,"Record ID for the Primary table",N,TRUE Shape,"Shape column",N,TRUE esriCatalog.GxFilterFeatureClasses GC_CSZXstreets CTSXL CTSXR STABBR SX XID ZIPLSX ZIPL1 ZIPRSX ZIPR1 streets.sdc:streets ObjectID GEONAME_L L_F_ADD L_T_ADD ZIP_L PREFIX PRETYPE GEONAME_R R_F_ADD R_T_ADD ZIP_R Shape STATE_L NAME TYPE SUFFIX ProgID = esriDataSourcesFile.SDCWorkspaceFactory.1; Path = Program  Files\ArcGIS\mapbook\streetmap_usa\streets 128510226462330000 4:30:46 PM New Address Locator 0 ReferenceDataUnits 80 TRUE TRUE {AE5A3A0E-F756-11D2-9F4F-00C04F8ED1C4} False 9.2 True True True True :: :: ARC_Street ARC_City ARC_State ARC_ZIP :: :: Shape Status Score Side X Y Stan_addr Ref_ID Pct_along Match_addr 0.097 carefacilities 002 6271665.195395 6307717.842778 1879903.861532 1907390.905967 1 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_California_V_FIPS_0405_Feet <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/3.2.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_California_V_FIPS_0405_Feet&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;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,6561666.666666666],PARAMETER[&quot;False_Northing&quot;,1640416.666666667],PARAMETER[&quot;Central_Meridian&quot;,-118.0],PARAMETER[&quot;Standard_Parallel_1&quot;,34.03333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,35.46666666666667],PARAMETER[&quot;Latitude_Of_Origin&quot;,33.5],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2229]]</WKT><XOrigin>-117608900</XOrigin><YOrigin>-91881400</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102645</WKID><LatestWKID>2229</LatestWKID></ProjectedCoordinateSystem> 20231113 15493800 20231113 15562400 1.0 150000000 5000 FGDC withheld withheld Local Area Network 0.097 Enterprise Geodatabase Feature Class Dataset copied. withheld 20080429 15000900 Dataset copied. withheld 20080429 15035400 Dataset copied. withheld 20080430 12023400 Dataset copied. withheld 20080430 12062500 Dataset copied. withheld 20080501 13591500 Dataset copied. withheld 20080501 14024800 Dataset copied. withheld 20080501 14453800 Dataset copied. withheld 20080501 14480900 0 Data PC410\nguandique 2/10/2011 12:06:19 PM Esri ArcGIS 13.2.0.49743 Care Facilities external 199a634d71189d72725b2eeca72283f5a2311e70 City of Thousand Oaks True City of Thousand Oaks 1 -118.959429 -118.839400 34.230676 34.154262 To display care facility locations in the City of Thousand Oaks. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This is a points feature layer that displays the locations of care facility addresses, geocoded using the ArcGIS World Geocoder. The care facilities included elderly care and infant care facilities. The attribute table contains the geocoded addresses, the name of the facility, and the facility type. </SPAN></P></DIV></DIV></DIV> City of Thousand Oaks. Care Facilities care nursing homes childcare <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>No redistribution.</SPAN></P></DIV></DIV></DIV> Nelson Guandique City of Thousand Oaks IT Analyst II 2100 Thousand Oaks Blvd Thousand Oaks CA 91362 nguandique@toaks.org dataset EPSG 5.3(9.0.0) 89 Simple FALSE 89 TRUE FALSE carefacilities Feature Class 89 OBJECTID OBJECTID OID 4 10 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. STATUS STATUS String 1 0 0 SCORE SCORE SmallInteger 2 5 0 SIDE SIDE String 1 0 0 X X Double 8 34 16 Y Y Double 8 34 16 STAN_ADDR STAN_ADDR String 79 0 0 REF_ID REF_ID Integer 4 10 0 PCT_ALONG PCT_ALONG Double 8 22 4 MATCH_ADDR MATCH_ADDR String 135 0 0 ARC_STREET ARC_STREET String 60 0 0 ARC_CITY ARC_CITY String 40 0 0 ARC_STATE ARC_STATE String 20 0 0 ARC_ZIP ARC_ZIP String 12 0 0 TYPE TYPE String 22 0 0 FACILITY__ FACILITY__ Double 8 23 5 CAPACITY CAPACITY Double 8 23 5 LICENSE_ST LICENSE_ST String 9 0 0 NAME NAME String 52 0 0 ADDRESS ADDRESS String 43 0 0 FACILITY_C FACILITY_C String 37 0 0 OCCUPANT_L OCCUPANT_L Double 8 23 5 CITY CITY String 18 0 0 STATE STATE String 9 0 0 ZIP ZIP Double 8 23 5 PHONE PHONE String 14 0 0 CONTACT CONTACT String 25 0 0 DO DO String 28 0 0 DO_PHONE DO_PHONE String 15 0 0 POINT_X POINT_X Double 8 29 11 POINT_Y POINT_Y Double 8 29 11 Shape Shape Geometry 8 0 0 Feature geometry. ESRI Coordinates defining the features. 20231113 /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2igBy sV+npQA/yhnOePSgB3sOBQAUAFABQAuT60AG4+35UAGfYUAGR6UAHHpQAnH90UARsxDYzQA3JPeg BKAFUZNAEhXPegBFTByaAH0AFABQAUAFADWfBxQAzec0AAYn3oAemFPzH8M0AKXycCgBrOAeBk+t ADCSepoASgCeP93EWPVuBQADpQAUAVbizWXlMBqAKUtnJF0G4e1MByWMjoG4GfWi4F8KSeKQDshO nJ9aABCS3WgCSgAoAKACgAoAKACgAoAKACgAwKAEwPSgBGAxQA0LzxQBJQAUAFAASBQA0uBQBHuP rQBheJPFC+HFtS9rNcee+z93/DTSuXCDlc20fzEV8EbhnBpEArKz7AwLDqM9KAH5xwvX1oANjelA DhiPryaAG4Q9yKADaCcBuaAFRC0gX86AFlfc2B90cCgARs8UAPoAKACgAxQBEWyMDgUACDcfpQBI FC0ALQAUAFABQAUAFABQAUAFABQAUAFACEZoAXpQAUANZttADd7elADSSetACUAFACMivjcoODkZ oAWgDnbTwzPp2vahrMN5NPJOh2QOcKDjgU76WLc7xUbFjwvda7PYzPrdskMwlITaRkr+FDt0Cain 7pu7g3XINIgay4Pt60AJQAUAW1H7gso+YigCqQR1FACqQOTQA/eMUAKDkUALQAUAQYJOBQBMqhRg UALQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAATgUARM2TxQAhYkUAJQAUAP2gctx7UAZOv+I7Dw 3Zpc3qtsZtoCjJNNJvYuEHN2Ro292tzbxzRfckUMvHakQPLE9TQBi+I/Etv4bs4ZZ4JJfOkCAJ29 6aVy4Qc3ZGtFIJYkkAIDAEAjBpEHluqePrhPiFBbLPNb6bAwjlTZncc8nHWrUdDpjSvTvY9VHIBH Q1BzCgZIHrQBLM5GI16CgBhOY+T0NADOvSgAoAer44IoAVn44oAZk0ASIm0e560AOoAKACgAoAKA CgAoAKACgAoAKACgAoAKACgAoAQjIxQBGyEUAYnii71ax0oS6Nai4ud4BU44Xueaat1Lgot+89DS snnlsYJLqMRztGpkQHO1scikQy0nALdxQAwnNAEF3ZW19D5N1Ak0ec7XGRmgL2HSzQWkBkldIol4 yxwBQA9JElRXjYMjDIYHINADnijlhKyIrDIOCM0ARzTRW0LSzSLHGvVmOAKAKz2OnX4jnaCCcZDo +AefUGgeqNA/MuR1FAh1uMyj25oAjY5YmgCnqtg2qaRdWKXD27Spt8xeooQ4uzuQaDpb6Po8FjJc vctEMGR+9Nu45PmdzSpEhQAUAPCDHNAElABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAIW C9aAIicnNACUAOQ/Ng9DQByep6vqel+Lo/tE1rDoZAUtI6g7iPzzmnZWNEouOm51SSJIiumGVhkE HgikZmfrmj23iDS5NPuiyxMQcocEEU07FRk4u6MfS9QubDXo/DkWlSjT4IQEumB5wvr09qHtcppO PNfU6wEeUflHWkZnJeNfC994ogtre1vvs9urgzR/3xVRdjSlNQd7G9pemxaRpkFjBuMcK7QW5JqS G23dk0F3BO8iwTxyNGdrhGBKn0NAjKsdf1CbxlLpL6U6WaJlbracHjPXp7U7aXLcVy81zdbbuPUU iAwAhIOc8UAMoAKACgAoAM0AT0AFABQAUAFABQAUAFABQAUAFABQAUAB4GaAGpzlj3oAdQAZAoAK AEYZFADQnrQAjJjpQA0cGgDkNU+Henar4hl1S9ubiVJPmWENgKfr6e1UpNI1jVlGNkb15d6foOmi a6kWC2iAQE9uwFTuZpOTshzatp0NhHfPdRpayY2SE8HPSiwWd7FxGSRVkQhlYZDDuKBEnPlHHrQA wMD0oAdkkYzQBi6H4YsdDurye2eVnum3N5jZx7Cm3cuU3JJPob0CfvwcdO9Igp6hqFppzK15cJCH fapc4yfSgaTexZQhhjqD0NAhCpHagA2k9qAHCMnk8CgBRszjBNADGGGI96AJqACgAoAKACgAoAKA CgAoAKACgAoAKACgAoAKAIWzu5oANx9aAHq2eO9AD6ACgBpQGgAK/u/oeKAPMPiJe6bqmoW+h3V/ JaCL97K207SPw5Jq43WpvS5ornSOobRNE8R+HLS2XEtim1ojGSvT6VN2mZqUoSv1N63gjtbaK3iX bHGoRR6ADApEE4/1Z+tAEZXJyDg0AJlvQUAG4jqKAJoJCZVAJ60AZXiPw/p3iIwrfRFhA+5CrEc/ hTTa2KjOUdjSQiNFRFUBRgDHSkSPkdt/BNACAu3c0APUEDGc0ALsw+4/lQAmB6UAOZce49aAEoAK ACgAoAKACgAoAKACgAoAKACgBCwFACBwTQA6gCOTrQAygAoAeGwvvQAm9qAHKxJx1oAc5G3bnnvQ Bmahoml6rG6XlrHLvXaWK84+tFxqTWxz9zr+k6BaS6Nohhlv7dMRWanJJHb3p2vqy+Vyd5depDe+ MtQ0zw7Y391o8jXEzYlhQ42D1/H096dtRqmnJq5reFfFVt4osJpYYXgeJ9rxuckUmrEzg4OzL+sy TRaLeyW7hJlhcox/hOOtIlbnN/DS+1HUPDLTajefapPOYK5xkDjg49805KzLqRUZWR2VIzJol2KZ D+FAEJOTmgAoAlxl89sUAOoAaWwGx2oAEzjmgB1ADY5do2tyv8qAJQgb7rA0AHl/7QoAPLPqPzoA Qow7UAJg+hoASgAoAKACgAoAKACgCE9TQAA4OaAJQQaAGlct7UABTjigBjLtoASgAoAeDtjyOpOK AGUAFAGJF4Q0VNfOsra4vCSQ2eAT3x607u1inOTXLfQi0/w1JYeJbzVm1CaVbgY8lui0X0sNzvFR sc74R0u4HjvW9QmsJrZCQEJPBz1+vQU3si5tckUmd9cQRXVvJBMgeORSrKe4NSYlTSNGsdEtPsth D5cRYsR1JJpt3KlJyd2aqRhV3yfgPWkSMeQueenYUAMoAUAk4FAEw6Y9KACgBuCDkc56igBpUqw5 4NAElAEO0+lAD4x1oAfQAUAODsOhoAXzG9aAFwJOnDelAEZGDg0AFABQAUAMYMTx0oAYeD1oASgA oAM4oAkRs8GgBxOBQAxxnBoAZQAUAPP+qH1oA56TxXaR+Kk0AxSmdl3BwOOmadtLl8j5eYXxJ4jt 9DtxGHQ30yn7PE3Rm7Z9s0JXCMHL0JvDd3qd7o8c+rWwt7ok5QAjjscGh2voKainaOxQ8XaRrmqf ZptH1H7M9vlimPvnt/k0JrqOEoq91cTwL/wkC6VOniIyNMJj5ZdQp2/l0odug6nLf3Sv428S6jpT W+n6RZSS3l1wkuMhTn+eKcUnuOnCMtZPRHT6AL1tNtf7TVftm396F6A1LM5WvoaFw6MwHXHpQIhw G+7nPoaAG0APXIU465xQA8HPHegABzQAtACHkY79RQBHlqAJaACgAoAKACgCLOW64oAlBoAkBDjD fe7GgCN/kOCKAEU7hmgBjsd3WgBA570ANoAKACgAoAcg+agB7kYoAiycYoAKAFVdx9qAFZs8DoKA M/U9NW/s54kbyZ5IyizquWWgadmcdrGjw+HPB8c12j6nfWhPkTMvKMTwe/AqlqzWLc52WlzgtD8U eIPCXiGH+1GaeC8VWdHfn5jw3TqPT3qrXWho4c8broe+wsskayj7pAI96zOUCcnJoAaVViCVBI6E jpQBOP3cOf4moAhoAKAHfeGe9ACkFU565oAapxmgBUPzUAS0AGMkUAMaRgxA4FAD6ACgAoAKACgC EjBoAN4RSzMFUdSTQAokRjw35GgCQScYcqy+5xQAvlE/6s/gaAI3RlGXIH1NAESurjKMGHqDmgB2 RnGeaACgCnqtvdXWl3EFlOILh0ISQ/wmgatfUq+HLLUNP0aG31O6+03K5zJ147DPem7X0HNpu8VZ GuDikSJQAUAFADh/qzQA2gAoARlDKVYAg9QaAOJ8Z/D+HxHcwahZssOoROp3sTgge1UpWNadTl0e x0iavZ2V1aaLdXqNqHlLlcY3HHP0+lK3UjlbV0tDTpEjkG5wPWgB0zbnx2HFAEdABQAUAOY849KA G0ASIB+NAD6AFHegCvQBPQAUAFABQAUAQkEdaAK99bG8sJoAcbxigDIk0W72yBLp9uRtCnBwM96A MiwOo3X2pL7zLdYpFVDOdoYgjofcU7FONtjcex1PEapdDbwWYNSJLKQXEkd1DI7FCNsW4/rQBFNo 15HaothPlzy5LYwcCgBLbTL+K/jmkmLKFw6k9TQBseW1ABtA6n8qAD5fegBwRSpIJH1oAYQVODQA lABQA9RlSB160AHln1APpQA0gg4NACUAKvLCgDPuND06fWk1WS2VryMbVk7+lO/QrmdrdC/SJJIP 9aKAOb1LVtYt/FdpY2+mmWwlH72f+6c+vtTsrFqMXFtvU6CkQFADh8q57mgBtAB1oAkQEGgB9ABQ AjRbjkcZoAWgAoAKACgAPFAETHJoAF6GgBtAHI/EODSpNASXVpZo4YpVK+TySc4xiqje+hrRcub3 dzodLuIJ9KtZLUs0JjGwsOce9SZvfUydV0bU73xDY39vqUkFrB/rIAxG78Oh/GnfQpSSi00dCJCD kBgaRBZinEhw6fN60ALIqEDL4PpigCLYn/PQflQAbE/56D8qAJhEgiOZOD3FADAsZGGkz6HFAC7I P+eh/KgBNsA/iY0APjSMnKNyOxoAimVlkOaAE++nuKAGUAPj++KAGHk5oA5288SXFt4rttHXTZpI ZVybgDgf0p20uWoXi5XOjQ7XB9DSIHzjEmR0PNAEdADBNEZjCJUMoGSm4ZA+lAErdh6UANoAcq5o AloAKACgBrvtbAoAFbI96AFLAUACtuoAWgBCcCgCGgBVIDc9DQAFW5wKAOb8U+ED4oWzR7tokhlD ug5DD/GmnY0pz5L6G4xg06zy7LFBCnLHgACkZ7jLDULTVLVbqynSeFujocigbTTsy2FJoELwvIOT QBxLeLr2x8ctpOqxRwWcwH2eTByxPA5zjk1VtLo15E4cy36nWpe2sl09qlxG06Dc0Yb5gPXFSZE9 ADx/qj9aAGUAFABQA+PIbPpQA/zychwGFACbM/NGc+1ADSAxzkA9waAHIqgMd3btQBzd1e66ni23 tYLNG0lkzJOQcg49e1PSxaUeW99ToCiZBzkjvikQLhfc0ALfXVrbCPz50iJHAY4zQBHFPDMu6Jld fUHNAGHB4Xt4fFcuui4naWRdvlFvkHGKd9LFub5eU33OSPYUiCKaWOCF5pXCRopZmPQAdTQBFpup Wep2wubK4jmhJ2h0bIz6UDaadmX6BBQAjZxxQAGMv83tQBECR0oATrQA5Dg0APLgUABIK+1AEZx2 oAbgllx60APdssfSgAXgE+lAEF5bQ39nLa3KCSGVdrKe4oGnbVFfSNKtdD09bKxQpCpJwTkkn1pt 3HKTk7svFieppEiUAUbvRrC/vILu5tI5Z4DmN2HK0XGpNKyKlr4UsbXxDNrUYk+0yrggt8o/Cnd2 sU5tx5eht7PUikQO2/KRuFADdn+0KAF2DuwoAMJ/eP5UAIWAGFoAbQAoJU5BxQBJ5iv/AKwc+ooA eoiCkCTr6igBuz0kU0AHlt2C0AKI5SfQUAVNXtpLqCJVi3kSKT9M0AYs9lqME8slsJVLzH5Qfl24 POKAM4x69Fqn2qOW6azCMoiZsktt64/3qB6WLc0mqpcptE75QZXdgD1NAiE2uo6hbTW10J/IcMCC 3LDaeM/WgE7DNM0VtJaytLWGZIFnSQqD8vuT7027lSk5O7O0pEhQAUAMMjKcA8UAR0AFABQAUAFA GEviqybxS2geXL9oC7t+35f8+9O2ly+R8vN0N8cITSIKWp6hFpWmz304YxwruYKMk0DSu7FLw34n sPEtj9psnGRkPEx+ZD702mipwcHZlfQLXxDBqF+2sXMcts7g24UDgc+n4daHboEnGy5ToKRA5VyM ngUALvA+6BQAm9vWgAwxXOSaAG0AFABQAu0+lABg+lACqhPWgCQKBQAYHpQBEwwcUAJQAUAFADhI 4HDH86AJo5nxjNAEV7fva2zSbQ5yAAfU0AUH1I28pjvEVZNm9TEDg+1AHKEHUPHMOpLqU6wRxD/R lJ+brnjpj/61O+li1NcvLY6Zrx9S066/sx9s+wiNnHAbHBpErfUg8NQ6xb6Sqa3Mst3uPK44Xt04 pu3Qc+Vv3djcV88GkSPoAM5oAiY/MaAHMmTxQAhj9DQAzpQAUAFAERt4FnNx5SebjG/HOKAJjkKA evWgBkkaSxtHIoZGGCD0NAGVo3hrTNCmuZbCExtcNufJyB7D2pttlSnKVrmy3XHpSJGoVdyoYEr1 APIoAecueBgUAP2j0oATYKAHAYGKAEKgjpQA0JxQAnl8igCSgAoAKACgAoAjcEt0oAFTPWgBpGDQ AlABQBJGOM0AJNClxEY5BlTQBSfRbaRWDvM7HHzl/mAHYcUAMg0DT7d9yiXccfOWGR+nvQBNb6ZF pzs0Jc7+7NmgCzjd06+lADaAFyaAAEigAwT2oAk+9yDQBHkg0AITk0AFABQADqKAHP8AeNADaACg DA1XTdcn8TWV3aagsWnxj97DzlvXjvTVrFpx5WmtSTSvDH9n+Ib7V/t88v2rP7ljwvOaL6WBzvFR sdFSICgAoAKACgAoAKACgAoAKACgAoAKACgBpUGgBpjoAUJg5oAfQAUAFAHPad4qi1LxJe6MtncI 1sM+ay4VqbWly3C0VLub6uU4YZU9qRA/ygqmRDkdvagCLG/p1oAZQADk4oAshtg2gDigCNVIFAC4 9cUAMdcc0AMoAdsOOSB9aAFVMsMMDQBz9l4ogv8AxTd6GltKstuMmU/dPGfwp20uW4NRUjf2/wC0 KRA7y8Dd1HtQAm0scngUAPHb0oAWgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAYs UayNIsaB2+8wXk/U0AK5GMUACyGOMY9eaAFKhxvj4PcUAMyG4bg+tAAFKsPSgBGLbj9aAAOaAFDm gAwzcnge9ABkL93k+tADeSaAHopznpQBD5SJKz7AHPBbHJoAeBk4oAUsc8cAUAOUE8k0APoAKACg AoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAaeDz0oAaMMNvQ9qAEG5Gz0NAEo2z+z/ AM6AERXjY7h8o65oATchJOSM0AOwv90UAHyjoooADz1oATA9KAAADtQAtACMofrwfWgDDtvE2nXW v3GhxSM17ECWG04468/iKdna5bhJR5uhtrHxyKRA/AHf8qADIHQUAGQeooAPl9DQAuQfagBMAd80 ABHcdKAEoAKACgAoAKACgAoAKACgAoAKACgAoAKAEPIoAjyVPBoAQsT1oASgB6nd8rfgaAGjIbjr QBbMyN8jce9AFcwODwMj1FAD6ACgAoAO9ABQAUAFAFWPTrOK+e9S2jW5cbWlA+Yigd3sWqBBQAUA FABQAUAFACg4oAMj0oAMj0oACMUAJQAUAFABQAUAFABQAUAFABQAUARu2eKAGUAFABQAoODmgBbh zDbSXCKXZVLBe5NAGQmto8jAxkKD97Pb1oAP+Epsk4LSr7FaANygAoAKACgAoAKACgAoAKACgAoA KACgAoAKACgAoAKAFbt9KAEoAKACgAoAKACgABBoAKACgBMigAPQ0AQ0AJuXPUUAPVS3sPWgBxCK oIG6gCs95Gj4EecdTRYB6zrLyG59KAKsjafbPskiRSIzghf4cjj+VAFF7vRlYghSR/sE0Af/2Q==