20250110 21082200 1.0 FALSE CreateFeatureclass C:\Working\Template\Parcels.gdb ParcelBoundaries Polygon PARCEL_POLYGONS No No "PROJCS["NAD_1983_StatePlane_Maryland_FIPS_1900",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",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-77.0],PARAMETER["Standard_Parallel_1",38.3],PARAMETER["Standard_Parallel_2",39.45],PARAMETER["Latitude_Of_Origin",37.66666666666666],UNIT["Meter",1.0]];-36747100 -29091500 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # 0 0 0 # "Same as template" Append ParcelBoundaries_Joined ParcelBoundaries "Use the field map to reconcile field differences" "JURSCODE "JURSCODE" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,JURSCODE,0,3;ACCTID "ACCTID" true true false 16 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ACCTID,0,15;DIGXCORD "DIGXCORD" true true false 8 Double 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DIGXCORD,-1,-1;DIGYCORD "DIGYCORD" true true false 8 Double 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DIGYCORD,-1,-1;CT2020 "CT2020" true true false 11 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,CT2020,0,10;BG2020 "BG2020" true true false 12 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,BG2020,0,11;GEOGCODE "GEOGCODE" true true false 2 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,GEOGCODE,0,1;OOI "OOI" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OOI,0,254;RESITYP "RESITYP" true true false 3 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,RESITYP,0,2;ADDRESS "ADDRESS" true true false 60 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ADDRESS,0,59;STRTNUM "STRTNUM" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRTNUM,-1,-1;STRTDIR "STRTDIR" true true false 2 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRTDIR,0,1;STRTNAM "STRTNAM" true true false 40 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRTNAM,0,39;STRTTYP "STRTTYP" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRTTYP,0,4;STRTSFX "STRTSFX" true true false 10 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRTSFX,0,9;STRTUNT "STRTUNT" true true false 30 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRTUNT,0,29;ADDRTYP "ADDRTYP" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ADDRTYP,0,254;CITY "CITY" true true false 30 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,CITY,0,29;ZIPCODE "ZIPCODE" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ZIPCODE,0,4;OWNNAME1 "OWNNAME1" true true false 34 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OWNNAME1,0,33;OWNNAME2 "OWNNAME2" true true false 34 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OWNNAME2,0,33;NAMEKEY "NAMEKEY" true true false 25 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,NAMEKEY,0,24;OWNADD1 "OWNADD1" true true false 30 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OWNADD1,0,29;OWNADD2 "OWNADD2" true true false 30 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OWNADD2,0,29;OWNCITY "OWNCITY" true true false 22 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OWNCITY,0,21;OWNSTATE "OWNSTATE" true true false 2 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OWNSTATE,0,1;OWNERZIP "OWNERZIP" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OWNERZIP,0,4;OWNZIP2 "OWNZIP2" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OWNZIP2,0,3;PREMSNUM "PREMSNUM" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PREMSNUM,0,4;PREMSDIR "PREMSDIR" true true false 2 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PREMSDIR,0,1;PREMSNAM "PREMSNAM" true true false 22 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PREMSNAM,0,21;PREMSTYP "PREMSTYP" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PREMSTYP,0,4;PREMCITY "PREMCITY" true true false 22 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PREMCITY,0,21;PREMZIP "PREMZIP" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PREMZIP,0,4;PREMZIP2 "PREMZIP2" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PREMZIP2,0,3;LEGAL1 "LEGAL1" true true false 24 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,LEGAL1,0,23;LEGAL2 "LEGAL2" true true false 24 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,LEGAL2,0,23;LEGAL3 "LEGAL3" true true false 24 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,LEGAL3,0,23;DR1CLERK "DR1CLERK" true true false 3 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DR1CLERK,0,2;DR1LIBER "DR1LIBER" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DR1LIBER,0,4;DR1FOLIO "DR1FOLIO" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DR1FOLIO,0,3;TOWNCODE "TOWNCODE" true true false 3 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,TOWNCODE,0,2;DESCTOWN "DESCTOWN" true true false 25 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DESCTOWN,0,24;SUBDIVSN "SUBDIVSN" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,SUBDIVSN,0,3;DSUBCODE "DSUBCODE" true true false 6 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DSUBCODE,0,5;DESCSUBD "DESCSUBD" true true false 75 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DESCSUBD,0,74;PLAT "PLAT" true true false 6 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PLAT,0,5;PLTLIBER "PLTLIBER" true true false 7 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PLTLIBER,0,6;PLTFOLIO "PLTFOLIO" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PLTFOLIO,0,3;SECTION "SECTION" true true false 3 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,SECTION,0,2;BLOCK "BLOCK" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,BLOCK,0,4;LOT "LOT" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,LOT,0,4;MAP "MAP" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,MAP,0,4;GRID "GRID" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,GRID,0,4;PARCEL "PARCEL" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PARCEL,0,4;ZONING "ZONING" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ZONING,0,4;ZNCHGDAT "ZNCHGDAT" true true false 8 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ZNCHGDAT,0,7;RZREALDAT "RZREALDAT" true true false 8 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,RZREALDAT,0,7;CIUSE "CIUSE" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,CIUSE,0,4;DESCCIUSE "DESCCIUSE" true true false 60 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DESCCIUSE,0,59;EXCLASS "EXCLASS" true true false 3 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,EXCLASS,0,2;DESCEXCL "DESCEXCL" true true false 60 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DESCEXCL,0,59;LU "LU" true true false 2 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,LU,0,1;DESCLU "DESCLU" true true false 23 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DESCLU,0,22;ACRES "ACRES" true true false 8 Double 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ACRES,-1,-1;LANDAREA "LANDAREA" true true false 8 Double 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,LANDAREA,-1,-1;LUOM "LUOM" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,LUOM,0,254;WIDTH "WIDTH" true true false 8 Double 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,WIDTH,-1,-1;DEPTH "DEPTH" true true false 8 Double 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DEPTH,-1,-1;PFUW "PFUW" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PFUW,0,254;PFUS "PFUS" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PFUS,0,254;PFLW "PFLW" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PFLW,0,254;PFSP "PFSP" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PFSP,0,254;PFSU "PFSU" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PFSU,0,254;PFIC "PFIC" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PFIC,0,254;PFIH "PFIH" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PFIH,0,254;RECIND "RECIND" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,RECIND,0,254;PERMITTYP "PERMITTYP" true true false 3 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PERMITTYP,0,2;YEARBLT "YEARBLT" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,YEARBLT,0,3;SQFTSTRC "SQFTSTRC" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,SQFTSTRC,-1,-1;STRUGRAD "STRUGRAD" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRUGRAD,0,254;DESCGRAD "DESCGRAD" true true false 55 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DESCGRAD,0,54;STRUCNST "STRUCNST" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRUCNST,0,3;DESCCNST "DESCCNST" true true false 25 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DESCCNST,0,24;STRUSTYL "STRUSTYL" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRUSTYL,0,3;DESCSTYL "DESCSTYL" true true false 45 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DESCSTYL,0,44;STRUBLDG "STRUBLDG" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,STRUBLDG,0,3;DESCBLDG "DESCBLDG" true true false 50 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,DESCBLDG,0,49;LASTINSP "LASTINSP" true true false 6 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,LASTINSP,0,5;LASTASSD "LASTASSD" true true false 6 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,LASTASSD,0,5;ASSESSOR "ASSESSOR" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ASSESSOR,0,3;TRANSNO1 "TRANSNO1" true true false 6 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,TRANSNO1,0,5;GRNTNAM1 "GRNTNAM1" true true false 34 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,GRNTNAM1,0,33;GR1CLRK1 "GR1CLRK1" true true false 3 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,GR1CLRK1,0,2;GR1LIBR1 "GR1LIBR1" true true false 5 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,GR1LIBR1,0,4;GR1FOLO1 "GR1FOLO1" true true false 4 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,GR1FOLO1,0,3;CONVEY1 "CONVEY1" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,CONVEY1,-1,-1;TRADATE "TRADATE" true true false 8 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,TRADATE,0,7;CONSIDR1 "CONSIDR1" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,CONSIDR1,-1,-1;MORTGAG1 "MORTGAG1" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,MORTGAG1,-1,-1;NFMLNDVL "NFMLNDVL" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,NFMLNDVL,-1,-1;NFMIMPVL "NFMIMPVL" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,NFMIMPVL,-1,-1;NFMTTLVL "NFMTTLVL" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,NFMTTLVL,-1,-1;CRTARCOD "CRTARCOD" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,CRTARCOD,0,254;FCMACODE "FCMACODE" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,FCMACODE,0,254;AGFNDAREA "AGFNDAREA" true true false 8 Double 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,AGFNDAREA,-1,-1;AGFNDLUOM "AGFNDLUOM" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,AGFNDLUOM,0,254;ENTZNDAT "ENTZNDAT" true true false 8 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ENTZNDAT,0,7;ENTZNASSM "ENTZNASSM" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,ENTZNASSM,-1,-1;PLNDEVDAT "PLNDEVDAT" true true false 8 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PLNDEVDAT,0,7;NPRCTSTDAT "NPRCTSTDAT" true true false 8 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,NPRCTSTDAT,0,7;NPRCAREA "NPRCAREA" true true false 8 Double 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,NPRCAREA,-1,-1;NPRCLUOM "NPRCLUOM" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,NPRCLUOM,0,254;HOMQLCOD "HOMQLCOD" true true false 1 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,HOMQLCOD,0,254;HOMQLDAT "HOMQLDAT" true true false 8 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,HOMQLDAT,0,7;BLDG_STORY "BLDG_STORY" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,BLDG_STORY,-1,-1;BLDG_UNITS "BLDG_UNITS" true true false 4 Long 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,BLDG_UNITS,-1,-1;RESIDENT "RESIDENT" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,RESIDENT,-1,-1;RESI2010 "RESI2010" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,RESI2010,-1,-1;RESI2000 "RESI2000" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,RESI2000,-1,-1;RESI1990 "RESI1990" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,RESI1990,-1,-1;RESIUTHS "RESIUTHS" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,RESIUTHS,-1,-1;APRTMENT "APRTMENT" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,APRTMENT,-1,-1;TRAILER "TRAILER" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,TRAILER,-1,-1;SPECIAL "SPECIAL" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,SPECIAL,-1,-1;OTHER "OTHER" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,OTHER,-1,-1;PTYPE "PTYPE" true true false 2 Short 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,PTYPE,-1,-1;SDATWEBADR "SDATWEBADR" true true false 140 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,SDATWEBADR,0,139;EXISTING "EXISTING" true true false 11 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,EXISTING,0,10;MDPVDATE "MDPVDATE" true true false 7 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,MDPVDATE,0,6;SDATDATE "SDATDATE" true true false 7 Text 0 0,First,#,C:\Working\NovemberParcels.gdb\ParcelPoints_Joined,SDATDATE,0,6" # # # NOT_UPDATE_GEOMETRY CopyFeatures layer C:/Working\TALBPOLY.shp # 0 0 0 CopyFeatures TALBPOLY_UPDT L:\Katie\Talbot911\Talbot911\gis-sql.sde\Talbot911.GISOWNER.TALBPOLY_UPDT # # # # Talbot911.GISOWNER.TALBPOLY_UPDT 002 0.000 Server=gis-sql.ad.talbotdes.org; Service=sde:sqlserver:gis-sql.ad.talbotdes.org; Database=Talbot911; User=gisowner ArcSDE Connection Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_StatePlane_Maryland_FIPS_1900 <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/3.3.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Maryland_FIPS_1900&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;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-77.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.3],PARAMETER[&quot;Standard_Parallel_2&quot;,39.45],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.66666666666666],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26985]]</WKT><XOrigin>-36747100</XOrigin><YOrigin>-29091500</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26985</WKID><LatestWKID>26985</LatestWKID></ProjectedCoordinateSystem> 20250124 07470500 20250124 07470500 Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.0.52636 TALBPOLY082024 August 2024 parcel polygon update from MDP. parcels Jan 2025 parcel polygon update from MDP. Enterprise Geodatabase Feature Class 0.000 dataset EPSG 4.5(3.0.1) 0 Simple FALSE 0 TRUE FALSE Talbot911.GISOWNER.TALBPOLY_UPDT Feature Class 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. JURSCODE JURSCODE String 4 0 0 POLYID POLYID String 16 0 0 ACCTID ACCTID String 50 0 0 CT2020 CT2020 String 11 0 0 BG2020 BG2020 String 12 0 0 GEOGCODE GEOGCODE String 2 0 0 OOI OOI String 1 0 0 RESITYP RESITYP String 3 0 0 ADDRESS ADDRESS String 60 0 0 STRTNUM STRTNUM Integer 4 10 0 STRTDIR STRTDIR String 2 0 0 STRTNAM STRTNAM String 40 0 0 STRTTYP STRTTYP String 5 0 0 STRTSFX STRTSFX String 10 0 0 STRTUNT STRTUNT String 30 0 0 ADDRTYP ADDRTYP String 1 0 0 CITY CITY String 30 0 0 ZIPCODE ZIPCODE String 5 0 0 OWNNAME1 OWNNAME1 String 34 0 0 OWNNAME2 OWNNAME2 String 34 0 0 NAMEKEY NAMEKEY String 25 0 0 OWNADD1 OWNADD1 String 30 0 0 OWNADD2 OWNADD2 String 30 0 0 OWNCITY OWNCITY String 22 0 0 OWNSTATE OWNSTATE String 2 0 0 OWNERZIP OWNERZIP String 5 0 0 OWNZIP2 OWNZIP2 String 4 0 0 PREMSNUM PREMSNUM String 5 0 0 PREMSDIR PREMSDIR String 2 0 0 PREMSNAM PREMSNAM String 22 0 0 PREMSTYP PREMSTYP String 5 0 0 PREMCITY PREMCITY String 22 0 0 PREMZIP PREMZIP String 5 0 0 PREMZIP2 PREMZIP2 String 4 0 0 LEGAL1 LEGAL1 String 24 0 0 LEGAL2 LEGAL2 String 24 0 0 LEGAL3 LEGAL3 String 24 0 0 DR1CLERK DR1CLERK String 3 0 0 DR1LIBER DR1LIBER String 5 0 0 DR1FOLIO DR1FOLIO String 4 0 0 TOWNCODE TOWNCODE String 3 0 0 DESCTOWN DESCTOWN String 25 0 0 SUBDIVSN SUBDIVSN String 4 0 0 DSUBCODE DSUBCODE String 6 0 0 DESCSUBD DESCSUBD String 75 0 0 PLAT PLAT String 6 0 0 PLTLIBER PLTLIBER String 7 0 0 PLTFOLIO PLTFOLIO String 4 0 0 SECTION SECTION String 3 0 0 BLOCK BLOCK String 5 0 0 LOT LOT String 5 0 0 MAP MAP String 5 0 0 GRID GRID String 5 0 0 PARCEL PARCEL String 5 0 0 ZONING ZONING String 5 0 0 ZNCHGDAT ZNCHGDAT String 8 0 0 RZREALDAT RZREALDAT String 8 0 0 CIUSE CIUSE String 5 0 0 DESCCIUSE DESCCIUSE String 60 0 0 EXCLASS EXCLASS String 3 0 0 DESCEXCL DESCEXCL String 60 0 0 LU LU String 2 0 0 DESCLU DESCLU String 23 0 0 ACRES ACRES Double 8 38 8 LANDAREA LANDAREA Double 8 38 8 LUOM LUOM String 1 0 0 WIDTH WIDTH Double 8 38 8 DEPTH DEPTH Double 8 38 8 PFUW PFUW String 1 0 0 PFUS PFUS String 1 0 0 PFLW PFLW String 1 0 0 PFSP PFSP String 1 0 0 PFSU PFSU String 1 0 0 PFIC PFIC String 1 0 0 PFIH PFIH String 1 0 0 RECIND RECIND String 1 0 0 PERMITTYP PERMITTYP String 3 0 0 YEARBLT YEARBLT String 4 0 0 SQFTSTRC SQFTSTRC Integer 4 10 0 STRUGRAD STRUGRAD String 1 0 0 DESCGRAD DESCGRAD String 55 0 0 STRUCNST STRUCNST String 4 0 0 DESCCNST DESCCNST String 25 0 0 STRUSTYL STRUSTYL String 4 0 0 DESCSTYL DESCSTYL String 45 0 0 STRUBLDG STRUBLDG String 4 0 0 DESCBLDG DESCBLDG String 50 0 0 LASTINSP LASTINSP String 6 0 0 LASTASSD LASTASSD String 6 0 0 ASSESSOR ASSESSOR String 4 0 0 TRANSNO1 TRANSNO1 String 6 0 0 GRNTNAM1 GRNTNAM1 String 34 0 0 GR1CLRK1 GR1CLRK1 String 3 0 0 GR1LIBR1 GR1LIBR1 String 5 0 0 GR1FOLO1 GR1FOLO1 String 4 0 0 CONVEY1 CONVEY1 Integer 4 10 0 TRADATE TRADATE String 8 0 0 CONSIDR1 CONSIDR1 Integer 4 10 0 MORTGAG1 MORTGAG1 Integer 4 10 0 NFMLNDVL NFMLNDVL Integer 4 10 0 NFMIMPVL NFMIMPVL Integer 4 10 0 NFMTTLVL NFMTTLVL Integer 4 10 0 CRTARCOD CRTARCOD String 1 0 0 FCMACODE FCMACODE String 1 0 0 AGFNDAREA AGFNDAREA Double 8 38 8 AGFNDLUOM AGFNDLUOM String 1 0 0 ENTZNDAT ENTZNDAT String 8 0 0 ENTZNASSM ENTZNASSM Integer 4 10 0 PLNDEVDAT PLNDEVDAT String 8 0 0 NPRCTSTDAT NPRCTSTDAT String 8 0 0 NPRCAREA NPRCAREA Double 8 38 8 NPRCLUOM NPRCLUOM String 1 0 0 HOMQLCOD HOMQLCOD String 1 0 0 HOMQLDAT HOMQLDAT String 8 0 0 BLDG_STORY BLDG_STORY Integer 4 10 0 BLDG_UNITS BLDG_UNITS Integer 4 10 0 RESIDENT RESIDENT Integer 4 10 0 RESI2010 RESI2010 Integer 4 10 0 RESI2000 RESI2000 Integer 4 10 0 RESI1990 RESI1990 Integer 4 10 0 RESIUTHS RESIUTHS Integer 4 10 0 APRTMENT APRTMENT Integer 4 10 0 TRAILER TRAILER Integer 4 10 0 SPECIAL SPECIAL Integer 4 10 0 OTHER OTHER Integer 4 10 0 PTYPE PTYPE Integer 4 10 0 SDATWEBADR SDATWEBADR String 140 0 0 EXISTING EXISTING String 11 0 0 MDPVDATE MDPVDATE String 7 0 0 SDATDATE SDATDATE String 7 0 0 POLYDATE POLYDATE String 7 0 0 POLYACRES POLYACRES Double 8 38 8 Shape_Leng Shape_Leng Double 8 38 8 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20250124 iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJysvQd4XOd5JvqemTO9YVAHHSQIsPcmsUgU1aheXSRZcotLnGSd 3N1sNrs3u9kku7k3iZPYie04LrJldapLlChSYpEo9t4Jgui9zWB6P/u835kZDCBQSp57fz0USGAw c87/f/X93u87qt8/rkHLQlEUKAYjMpk0ipcCIJmN4/j4XkRSQRgNKpZ4b4Dd5ML5icMIpyZhVFSs LN2MEnO5/EIgOYZ4JgqftQEaAIPBAH9iBOlMGmVWX+G9+yLtyGhp9ETaoMCAVs9yVFrrkdEyGEsO IJlNoMJcDavRgXgqhq7QFZQrDQiZBhFIjGFZxSYMR3vQH+7AmvJb5D3bJk9jgWeV/F3/bKP8yaST +s1o+vcV/h0KusKX0ORYUHj9RGIYqmpCMDGBOvs8/P+3tKm/aRoMigEa/9M0fe8VBb2RdtTa56I9 eBYt7uXyvfz1/ltXVgPC6Qycxizag+eQRRZm1YrWklW4MnEcze6l6AhfQCwdwWi8H/WOFsxzL5Xr 4DmPxvpxNXQOFqMNq0tvxnhyCG5TmfwsnU2iwlqHK5MnUWVrwDn/IVTa6+Re+oOdqHY2ocpah6yW RqnFl99uOft4JoISS4Vc42RyHOkEUGquks8dSnSiydsqcvRZqzt8GQoUVNrqYFMdhW3lZ/Acq21N ct3XW7yejvBFVNub4LJ4kU4l5PtG1SR7naaM5N4vlPKjN9oOFchSBWA0WqBpKWha8lPHajYYcFP9 PdjX8xr88VFcmjiEaCaEesc8NNmbcWHyGIKpYXhMbvkFAzI4PrEb99Q8KRugZVUktBBOj36E22u/ pEunBtgNFvzsyv/CQ43fRmvJChhggJaNYTI5hrbIcaTSSZSWbgUMJhwefRvWTDlODh/EqnmrUGr2 4rWOH+LWpi/DljTjze6fosRcAZfJM+0erFYPEokoNKSg8OY1La8dsilvd/9MhCYvhQPRTtzc+DCG I92osdYVBPn/05Jf5z7znQzIpDNQTap85ampRiM0TcGhkbewreZxXAkcQ7NzvhgWaIquSFkNBgP/ PvuioRlLxNET6UUgdhGjsR7UOpuwseIuvD/4EhpLW3Bo9B2cGt8jRq7SWod5rvmiQG90/wSj8UGU WapwdfIMnpr3J6KkA9GrSGUTuDZ5GjX2OfhkZAc85nKc8R9AJBOC0+RBta0RC91rUJdZgPfPvYjW kuXwVZfCa/Ly0rnh2DP4AtLZFByqG6FQGKOpPszR1qDBsAQulwsHJ3aiamklHGbX9YVbUXBuYh9M BhvMho2wGRv0rc1tSCztx5HRC9hcdd/1z8CgwGow4d2eX+GJRf+J34CiGGAymRGPBbmLBcP98cgO PNjybSqI/gkGg4pkMnqdqzPAbLSKFVhbvlU0mJqcX4lsFFcnz6Le3iL/dqleZDIpZJUMLKpdLHij dQH29r4qlmsw1iXWzZ8cg9tcigUlq2QDslldFIMpPwyKEZFUAHajE/6YH4PRfjy+7IsYUa6ildaV lsRaj909L2FhxVpsqLsHPz//P/DV5j8pXJdqMotCZDMp3ZppFKSsXG9ORcSa3Fx1PzQoMMKAK5On oWWzSGlJeZ3N6JDP+vcoyeyvV3TllO9n5TOMqrGwj8PxXnjNlbgWuIAKU428LJOmN1eQSMRhNBjl IJNaHBmkkc1mcTl4Ej3hq4ilU7CpXqQzk6iy1qDW2oCtNfdDNfD+s6h3tqAtcBpfm/+niCVDOOs/ LOc1lhjAxcBxfG/BX2Hf0Ou4v/6b2DP4GgyKgjrHPOwfehNW1YaheC9e6fmJWP5bah6G1WjHnTWP iZc7Mvo+bqy4E6FgDA6HA263W6KHaDqY89T6fd9b/zVEo1H0BodQYumExWhHbWk9JicDYsE7O3uw ZP7iwv7lpbqwixqQVSCeg/c0cy30rMHZiR+J5XebSmf+duE9qNC19jl459qvcF/zN+W9YtGAbsih 4cz4J+iIXsTXlv437Ox+HiqtVDZrEEuWneWD+Qb0Lgy9aAU8lrJpN8BfrHO04NjY3mkX5TVVYCjZ hzrrPAxFe3F24hOMJYbw/sDzKDP7sLRkgyjajy79MQ6P7hJX7zGXwagZEU2HYFOdSKRjyNICdb0B 82gVfu3/e9y6cJuEY1w8qHKLDx90vYjbGx/Df1v3K2xv+yeYJ/ZjXfltmOtYhkQ8krsP3cfuH3wD 5wOHUW6pFkU2KRb84spfyn0xlOBnr7LdIuFdIhOHzej8DKH/tGJ89qIR0L2GeIdcEMJ3pcGY61yE syOHsKxiI84HjqA/3KnHTNCQMaYRT8egKipOTnwk4d9kOiP7dkftl1BmVWEUI4OCp5F3VhTM96zE B8Pb5f2fa/87tHiWiae9t/6rUBUz7KpL9mEo1isG4RdtfyWC2BG+iHWVtyGSDuJb8/8cI9E+LPCs kDNhKOsxlWI41ofDI++jffwybAYXSrI1GFTO4/DkB7lbVuB1VuFwYLcI4WBmCJVlVajLtqC0tFT+ 9IzWwJUugc3mmtrHXAisv4X+VTWa4baUIqtlpnkP/pjXdJPvfnw09Lbc1yxbL/sxFO1Ge+ic7M7F 4cNoci7M/X4GO/tfgNdRhUcW/AFeuPwPWOBYDlVRjLCYTUgzKJySef2v3G0AJpMVkYQf/sQorAZ7 sULK/xkaMfZjnGoyWOS7C0vW4Nn2H6DZvRgmzYyl3htxc9n98np6Ct4041uGaRTCrtAljCeGJVTg gSyqXA+PqQyxTBSB9DhW1q3AgDmCWntz4fqYEw3H+/C7C/8KL3b8CJcnjuORlu+JYh0d2Y0T7fvh M9VhQclqCZV47Yy7m11Lsa5sK8osPjm0nQMvYF3lraiw1uBa8AIG473y/TRS8ll57/PZol+8K9dT FN57FqqqFsJMEWRNQyA5iuUlGzAc68W+4TewueoerK64ufBWNqMbRsWJYCYrfxZ7N2AifhWB5BAq bGax+nr0OGXk8vkNDUk2mxYB81oqcZPvAbze/XOE00HJF/YMvIaOyCVcDJ2QHIQWeEXZZlTbG/FI 4+/i1PhHMMGMBvs8XPSfwGLvOhwefV/Or8rVCF9JE1ptG3DuzAXEqsdl/w2aAWOJQbR4lyOU8COV SephIgySt35y4mOMVgZgt9uh+bJyfYw68l4272w1CU3ziqDAZS1FMO6fbeMlB9GwByPxPgkhp++8 hov+Y/hg4GXc5LsPC0vW4rXuf5Fciob//YEXsKbmNlQ75+CFC38nhtqgqFB5UXpyMv1QJeRRIW68 ffgcegKXsa7itqJEt1hiNFiNNknGKm318h0KX611Du6t+drUjTLckUPTf4eH0ehsxTLvjYXP5Lue GNuLWCYMi8GGC8EjuHXRAzg3cghbKh6c2hANODy6U0I+fpNW0AAjnrnw15KUemzlmO9dJS8/NLEL 0WQQXnM5wplJxDIR7Bl6XeJvWszu8BWx6JXWWlgVN3r6ehCcDGH1DZ8j79N2oGDvPv3DnIbpSbkO HPBbWdkYBndAJB2SNCWjpPDknD+GxehELKshlM7SiiGugfEwKi1G+GwlqLLYMRHPwGUqwXh8AKVm HxSDoZDwZzIZUZr8KjdXi/I5TG7sG3wd14LnJHTqCF0Qb7GsdAPaA2fwX5f9DB8Pvo115VtxbkIP xXiW+wfflJwjmPHDYFHxnWV/hQpbLU6PHcDxoT0wZk0YsY+hYsyHu1u+KMbog8Ht6A1dhUkz4d66 ryEwOYmszYSwZwi7L+1COp3WFdhqQ3gojEQiJoZMl4Up45FfiXRcXk/vLt/NGS/KVH5trrofuwde xCON3yt4Hr744Mh76Aifx2LvWjlvKtDGynvwStePYTSaJd8YiffjuQv/L1Z4N2J56Sa80vUT2fNC gsqDyxoyuBI8gyuBk+JB6mzNuMf3FezVXscc58IpSSjSD14fXdWV4GldQXKvcageccGB5LDEyg2O VlRbm8SiEbEYjPVgUckaeQ+Gd/ScDA9GEwOotDbArwwjlA6i3rAAfcE27Eq+gJuq7kO5tUY8QTQT FQ8Uz8SRyiZhNlhwd92TODNxEGu8W3Bl8hQmUiMIpgOwq06Mp0fRXLoMFoMdNY4m1DnnSbgWTgYw Gh9AOBXAsH8QqQEzKqpqCq7889a/LUdRkElnYTDqQizWPbeNREuYIHcEL6PBvR7BtB1KJgurUYHP MpWn5JVNwl7FJNc3z70MlyZP4MaybTASUMgpIxU+f12JdBRGxYi2wClsaXwEf3vy91Fjb5Lvf735 T3B64hM8UvdtvItnYTFY0eRcgPd6n0daSyKeiaHMXo0lvg1YVrZBfn5+7BB2dPwG0VRIzs+uOLDK ei9eCv0zgmkmu1PCWzAQCmA2m9HR0YuRkQ7Mnz8fK8pXIxwO4cPuvVjlqJ8S6OusVDYuX/ujHVhe uiG3j9NfQyS1zFqNa6Hzgs4Fk35Bv0otVRI+J7NJNLuX4ZOR97C4ZB0MqhlfX/JnODT4LsaC/Xhq 7n/GW72/ErSOeZPKZDhjMsobXvAfRSadQo2tCdt8j8FssOqKI1obl0SdCk5XOXM1OlrF4vDIiXBc DBwT6C0QH0WNbQ56oldR6WrA4eBuiXfHo4MSVtFimI0W2I0uSdy4VKMJK7ybcCZ7APPL12B31/P4 +rw/1V3zyLsShjH0ur/+6yJgbZOn0OBowVh8SCBhbjM9ww0Vd8r77R54GZuq7pafJTJR2eABfwfe vPqvmOteLMpFNIPW1WnzYv6aRgEPXun8GRaXbEKtYy3sqhs2I1EQJWeZdQE3FIXLIo75sGlaWMbQ KoOMpkFVjEjmwAgKenfoPJ7v/BHuqvk+LoXOYL1vM3xWw3T1U4D3+p4TI8LP6olcxeLyGzGZGhOj dXrio9xn8ZoMsj9MqM/6D6E3ehWhzKR4j1rHXKysuBkrvRtxV91X8HLnjyW57QpfEWPFHPH5jn8Q A1TjmYvVlbeIkp0e+xhtE6fQNnZSEnBGC3fXPomjo7uxqepevNnzC8CahN1hh9lpxGvdP4PFaJWQ vNxRq++PBthsVixaNA/psVFc6+xGR7AdFotF9q2xSY88PmsZDSYxrCfG9wlQw1xqtrWhYpsI+VzX IpwY3yueYYFnJdJaCg3OVpydOCgG48Tkfnx76V/izWs/R4nixR01XxbDdVftE3ir92ncU/8k1NP+ A7hGy2+pxW0Vj0hyXDCGRVkQQxirYi+4RT2R0jWeoQoPpD10Fq90/RQmxYx6Wwu+PudPYVItcDq9 eLvnadzouwupVEwO3WhUEcmE0Rm6gCvxswgnJyVuDSbGEddicJlLsLXxSzg2vBtNtgXideghqBSn Jw6iP9YBp6lEPp8HfLPvfgSSH0gYIJelzEyoxPTCBIvkIIyzw+kAbqv5ovw4mQUmU1kYsll8NPQs 3OVlWOO9BTbVhgsTr0vC7jJXY75nAyxGryh2Vkshg5Tu/TSGQqq+fznEiiEUbQkFIJvJSAhkSOvB VSITw4eD21FptWFhyQYsKqnDQOgQau3VyDD3K9RHCKAoiKQnsa3uCaiKCW3BM4gjKsgjY3oq/kRy BGPhQVwOnhClaJs8gxJLOdaX347haC9+r/V/SWLN+6CgRFIhud7dA69IyBHJhrCu5nbxEjzLQ0M7 8c61X6IjeAE3+x7EHb4vSS5yi+8hvNv/WwlXh+Ld+Gj4LTl3ImOLSjYgFozjCy3fkWuikEYzEZiM rkLUwX0zmUxwOZ0oKymTnMyYpLf7/OUyeSUcXF26BYdG3xeQJ49Y5b0sTQ8/m+DFmYlP5F5vqX4I ZyYOoM7RjNPjB5DQ4tg25yuod83D85f+Dss869HiWpEDNQj+OLC1+mHs6H0G6jLPjVjqXiOHYFLN cojpVBKZbFoXKtEDHlAIhqxRcgmDUUUGWYxEe3HGf1BCFLvRgS80fA+1trnyQbRkZosFdrsHyURM 3o+FmVgsjHQqJeGc0WjEHNMCzLMu1q2DUU9ed/Q/A7PZjiwyODdyEPfXfr2wSRT5a6FzYgElp0FW 4Gdu3kRiSK+l5KyzwIE5a8//xALnTmIy6UdaM2E4kYUx5wG8ZgNMBhMGBvqRHrRgwYI5WFSyTlwx 3/Nq8Axe6/zfWFV2s4ARhBQJW1MZKGy8Fl4RIVkeHNG6GsccGAkgG42wmGySV10LXcCxsQ9wa/W9 aHTOx0sdPxKgIomEDnIQ0uS15+s2WUhI9V7fs3J4oWQAS32bpK7w0cjb6AxfwuXQKUFolpduFCX4 61UvYe/Qa2JQ9qivyV6wCMkwa3n5ZhwY2QGb1Y0Gdyu2znkUY7EBnB39BB92vyThFxP4O2sfw43l 23B58iQqLNVSRJ1MTUhIx1ykJ9aOi5Mnsbb8FpQk69AdaoMhadaVGpA9iCYj6I1cxYcD23NyoYgH 9ymL/m3JXW7RK7JQaTO6YDJacFPV/QJD31v31YKhnpIRDWvLb8UrnT/BYu96yaNurf4Cnmn/G5Hd L8//Qylanh7Yi0pTzZRyFK1ySw1WlG6CyoMjSkXhlNpFNgurzQVNyyAWDRWSDcbnmkFDb6wdFyaP Ip6OwmFwYbFnvdQSiOlnM1mJfU0mC0xmq4RK8UQYyYQeO/KQkomEWBDVZMlVinUrzxBEoz3OpERI uMlnRz5GT7ANY2WDiKXDklOwPkGYji6Qisn3EGs8sB3d4TZ8MPgyLgdOIpkmomaW974SPIVUJkGV lb1MSwW9m1EtMloYsXRILA2TfLvJDYvLhJZqVtHpLXXrxM8hDL28bCO21jwsVj6fRxQOJifUOwae kYIaUbAXun6IUNIvuQLzILfJK6jJl+b+gVzfRGJE0LqBWCfK7TWFvETyByVXaQfgMLpxc839Eob2 hK6iJ9GORu9CvN3xSzhMLqxx34J+SweemPNHeLfvWfG29OSD0S4JlZ+59jeY61wKb3QOAmkNrY03 4Er8MD4eeBuXx46JEH113p/ArjhR65gjqNMl/3G57pPj+zAQ65Kve4ZeRYtnuYTZ850r0exaLPWW Je4N+HDsZcTiEbzf/7zAx1SMSmeDCNsy74ZCTsQEPjIxHZ0yqmaoNNCFxFoToyqV9liP1GnWVt+G TDaFZDYmuSdRqKNjH2B9xR1T75XbPyN0xgdZHaHUBN7u/TWq3XPx4LxvSe3s6tgpMXQMyxmy8v0K uWQuz2M4qeqKkUQiHi5YrYQSEUzaZLaIcPOXuiNXxLWydrCu9HaUW6t0i6AYYDSa5Ob4RxL9bBqp VALxWDgHNU5pNn9utjC3ybvEvADq/2AR0aLaEE2H8UnfO3hszvdxbGwPyqxVGE704u7ap7Ct9gmo BhN29P4Gm333ynVzM1eUbZL3We7dVCgmpTWg3nUjUhpgUQywGelCFawr3wy3uURCt9x5yPWFw3E8 P/JDxKIxOF2mqQxT0+kHep6k5OoYU8iVXqHXE2rmavXOeYKUjCQGxLLTGjOBzHs1HZbVRKnpZSj0 c10LC3bMYrELA0Bh+Z8oVyYkeQgPjS9irhRNBfHd1v8p2P+mqnuwq/8lDMS6BeR4tftnwnZI+VNo ci/EH636EaLJMA607YbDZsfhsddwT8OT2Jt4DffVfx171deF4sMi2t7B1yUZ745exYGxd/Xal6Jg RelmPNDwTewdpGf6BrZ3/UQ87Lt9z6DetAihSAiGpIq7Wr8ssP8HA9sR1oJiGCqstQUrPRLrQwQj BeUgqvjJ+LuFEoEeXjKEzWAiMiS/d9+cb+D4+D5cGTspheS+6DVBoTrDF9HsXiJ1reKiIhfh6Jc7 /0kMRJ23FWt8t+LFK/+IRc7V2NRyF97o/rkOWY/shLfuSUEEdZlJ4d3e30ruoqaSCZ1ikks6c7ke UskYzBaHhEcMiRe4V+Pe2q9CMejWlILO/CLvCZjcsxLPr/p75KskelKvK4pBwg+90KdvV55vpMO/ iljUppIFuOI/iVbncokz76l/SgSvK3QZ5dbqgrUgwEDIj/CsniTr4prOahhL6NZHNQCNFtZAim29 fg+zgSZmswkw6Ny0k+P7C7wlvncgNY6NVXfl3yGH1+cMQMHTAKXWKvRFOtAVviy0BYatDAP3DR4Q 6kZ+nykAk+lx3F7zRQlPVtluKngMeuBUisZJkf1jCHtT9X2S42QzGl7t+xc4bG4Jp7iI7/dELiOS DWK973YsLFsHf3IUZ8YOoGPyAg727xBPH9OSuDR6ElmbqnsZgxkDkS6YFQt+3vY/5UxJtyG3TQHw YP3vSNz++Jw/lKSeHlDLCREF7+OhtwQB3NX3EmzBChgrEpiIj8Bucgogwvi1GKqdbZkVK+Y7Vkjy n4e/GI1wlw7GduKB5m9iZ9ezWOJeh9rSZrzY+SMxFIlsTIzlO32/wZeafl/C9OLF/aXM1ZW1otG1 AK9f+QlurnxAEENeEWk9b/U9jXUVt+Ldvt/ikabvIpyexHu9z2KldzPm2ZdAzaHzerxbEBhdeFmL oLtm7Mf42OUqEwXRLWZWlCFOz8PqcKE2ItxHCZfyrEBaW6FWGE0Cc+YFqxgxzufUDAkWVt+AT/rf wSKnTjrMCz6tfXEyxpBHcqWccGqiYBmkslm4VQMshtkOZ4qLNdsymVQp5I2NjaGpeoEIFes7tHI8 kLwb1r/mDiLL7CMrSB9DQH4mE1dSaOa6Fks4xEMcjw9hIj6sGxhFFQFiOONWS4WaQYBBQrfcdRZF oGIMihkMRP1qnc3Y0fcbqUfMKV2Cu5u/hr7INUGddve9jAWulRiMdQsq02Y+I7mF11SDVy/8CqWo xus9Pxe6yYHRdwQhnOtaghvL70B76Dy+Mvc/ioeuszejO3RFclCijSfG96M/0oHnOv4e5bYaLChf i23znhKKTGA8iNMjH+OkeT9MigkD0S5UuEhLuv4SI2Y0odYzT5Q07/kp2CxeG0YNiCQmEYiNodbX LMdHOJtQPUNrygBzxI+H38GW6of0N1V0QuSHw69gY8N9GIsN4kTfB7iv9utiEPLyblUd2Op7WMLG paU3Ss7CXGdr5cPwmiphZpqQl5mpr7oAMUk+NbYfFeYaTKSGMR4bRizOkEnXbD2BzN0M6SpMiqXy nud2GXUMNPeW6UxSWLL5gg+tMm+QsTdrFclMXLhZRGPuN3kwHhlAeek98nq6fiorXTWT4DzVhLya UxMfo9Jej2AKSGoKSkwGWFjkzOGtDFF0JZlRvJmuMgX3zzoMQ6TKkmoc9G+XajA3m2IbSk7gyOhu 9Ec6BQFjsszfZOJIazyZGpcDY7z8zZY/w2LPOlzEMQQRwL7hV+UziEIxn2CYwMSc9BYykz3m0sLV 5Y1FvprMcIxo2a6Bl/UQS1HE0j1U/ruYX7IS14LnRSkujh6Rwt/vtPx3ZFNp3FBxB3rCbeiOtAnZ kEmt01CKnlAbbm56FJct+0QgSkzleKjh23i//wWsL79DvDgVpt7Riov+o5J/vtz5zyizVcOgqnh0 /u+JZ78wcRQHh3bgw56XMN+5FsPpPpTay3FbzaMiwBJiIVgIXwvG7lMao8PgMEzJTjIZk9yYAp3K pgSWzW8OEVWnyV0wJAQm3uz+BfrC7QJltwVP43LkNO5r+Rb29byKMmOlGInic84vKjlLCkfHPhQ5 eaTuO5K7mcxm4SAW8Yt1xeBFZY2asDnPDn0iaEHPWJtepNEyOXZutgA/6olpThhzldz82wmSlNXR o47gRfz28t8IlGs3ejASDwCKB/OcPjS7loiw02XvG3ldwhHG7W/2/FJcOSu5kdSkUKh166K//xzX IlwJXsUb3a/gzrpHUWbSN5FUloKk5ZC4YmWQsP46Zi2RSEJJmlBpb5K6SJNroWwYc56eyBVoBsCf GoXXWomwFsLR4V1y+8ybCEFudTyMWkczzvo/wXCsR0KtpdUb4bM14LT/E0HZbAY7klpCvB/DK8LU Nc65ApSoqkGHb40qbHZ3zpMY8WDr9xBLhWVvOoOXcGhwJ64Onsd+Js0lSxCLh/DY3O9L/kBjwvrI x8Nvi+c5NLJTtoEUDFKAqkpqsHv0WVSXV+GJuX+E7Z0/EYHjaxl3j8cHBaJNZ1Pye2urtqKlZIWE Uh3B8/io7w0kUlG57211j+P0xMfY6LsTu0ZfgmpVReHNRpsIIw1fX6RPIpF88ZIeqB7Lp86ScpTN Iincu6zIIJm2lDUCGAyV9LPXD45GiKilrjS6L7+j9st4ofOHKLVUoq6kBV9Z9CdoHzuNEkMpVpXe fP0yrga0lqyURN1t9sKgqVBNpL8TsdWg5quujHkn0qM40P8Srk2cwWhsQC7sw6HtchNLvRt05cj3 juSoAHlITw+98kqhIzxy41JkBCqsLbin4ffgMFswGJyExaDAblTgT2VRaVEL3iipJXFq9CNs8T2E RSVrP0UApDWl/IfSLEhmsbHqfpwefweX/HuxvvL2fMBYtKa/w6x6UfQLLFx5bKVwOGxIRGNSYAul AvIu9BDVnjlIJ5M4EdgjHm1FyWaU26rlIC9NHse5wGHMd6+Uugw9n0PCppQgPQ32FhE6KhvDRXLO GIadGvsYt9c8BpPJpqN5RFDiIQnd+HeigmQHXB4/DofRKfwhLWHAh8ffQ2VDjXgKf3IEA9FuKaQ9 2/EDVDkapBZiUSyoccyV3OE/Lv5HYes+tPA7ePr832I0MCJnTO/HBH8o1oWPR97CGt9tWFzGiv4E jo18iMv+UzgyuEv2h/dWZvLhlvqHsb3rx8JfYwhKj5rJZiQcZ+7G++UiJNvsWYKH5nxHT7wzaVwO nUR7R3tOXvIiXnwMU8AOE2d6cGLdrOoTAWMoyxKA0HNylJ3LkydQ4ajBvc3fhMdUjnQyISHrULQH KJ/lzGcEFLfVfEEMsttYhmbjEpiMurFVVbMFnbHz+KDjZUEMFrhXSaWx0TEf68pvhVW1C8Q3Fh+c Cp1mcGS0bCYXh5MOAMQ1BUnNwDK9zkHKarCpRjgMCkwGBeXmPAKkb4wea+uWPpFNSNGw1b3p0+xY NgNoOFsVAAAgAElEQVRlWJTMwKEa4DMb5Xfo5d7pe/pTwj6lETltzv+w2KPM4JVRILNKEv6Qv4Cw sUhHdjCJfm8PPI0bPHfArFqkJpHMJOBUS8T60MqNJPrFgLA3hfc1FCtDV7xNFNtjLZcKPYtltNb+ +IiEVvTYbtUrPQn5aDDvJaXgaFCldrCp8m4RSK7haD887lqMaO3C/CVTYTQ9JHC4y8p2gzSWeNYJ p8pnbcSHg6/oRTVNQyQeEjKe2ezGb9r+FpXOWszxLpIcJpAaFQP1o3P/CbXWuQKPry6/BTXVjfhw 4BWsr7gdb7ByTuE3sDbzHIYSvfjnK/8V66rvgDEL3FB2h4RYvJH3h19AmsANc1by/lLJXGE1FyCJ Hc0Z3FnY5NyrYHJCwAjuNRWE4bOew2YEpNk18ALqS1rxxTl/KDT2sfCAGK+bGx6CzeoUuJmFw89c ioJttY/j1e6fosxchVJDleSi6smR/fjh+e+L6yduTGvU5JqPVvcKWC0OyUXe7fktJhKjhZ6NQhKf Zm6gIZGFKAOFgK9xqArKjLrwkzSnqhahYuvcmWL8e4qqzK+Me8vsPslX6EIllCuibYwls4JKlRmz MOWS/akQKp9rTOMzTkvqi81Gnjg424GMBkaxco4FWmzKrpHeQNiWBzWS6MvlT92wGmzyb3vUKfCq nmgTPZnS6gXeVSJs/tQIFpSuRtvESaG3jJr6wSiXyiZQYeFmi5VY/2aVrV7CJ14ff7drrBNz0qvR bTqFvSOvioc3ZAAb7HLQDHtWl23BoZH30Vi3QKw8DR9RtZd7fwiHpRxrHffAXe5EV+IMLk6ewMXx 47gcOC5Q7o2ld0pkQVo9mbtNzvmYSA4Lb+tq8Cx+fe2vBWKlFd9QcRfmuZagL9kJJavJdTIs5Ypp YZhhzkXw7FrVw6wiE6UbDANDG934xrMx8YhXAqdEqZmv0mOQG1agQAMYjw/jtZ6f4c65TyCDDJ4+ 95dy3bdWPCK52o6u3+Ce5m9IrYhel55y1pXbb/Yu3VP3NQkv76/5BlxKCdRG+wLhoLBSu77yNpTZ quDzNMJsprvPSrKkpXjgKoKpLCIk3AmqoqNZdpMBZTlkK3/feaOdSiUxmuzDqcEDYoW5OfQmxRsk TFV6GIMiXCBuFqu6Sg7l4hsRth1JZlDGBNyoIJ2i4qVztPFC/+xMkzCFERR0o0BFvm4OwlCRBxUM 6wl4Xvla3MuwwLMaKSNDhFO4PHFCECoKK70CWc+sPtfZ52IsOiDCxHyBecaNdXfjtas/lU6+jwbe khyIcf7d9V8RSJWUECpVHmArVtx8yEiLON+zQhJSGoJrnjYc7fsITa4WPOn7vvCubq/5ErZ3/li4 VBQeJrdsiyUCV2Gvk7rWw62/J1HBxeGTuDh8DEOBy9hYezuisUk82vQ91FqbBARhrvJ279Pw2Rpx 3n9YCJ+KqkqOyIYtMgeY3JLYyDMj+3V4ZACqYsBC15pC6+vhwAcwsNNJ6EksSrOtOzVNMhk1HBx+ V2hGNDyk1juNbqn9jEcGUeqokiIuAQUuKsuhkfdgNlnxxYV/iIOD7yAQGcUj9d8p1FIYwlJxCSDc ULMNB4bfxtbqR2cTk2mLNZ/Nlfdh7+hruMv3BFTGeKQGU9isVodQf1k4DEWCCCbTSGSySGpWGBT9 hqusupbnqdQ6WjTtROWGLwSOoDN0UZJZhgZMGEmrz9cN2ER1zn9QMKlQJguPahCId0PDfZiIDuWu XVcefyqDKgsJG/r7G1W2q6aQpndirPg5jAU9XBFG1Ge/jveTyaCqohxNDQ0wnJ8qZh4e2SWM5GuR 81hXdisWOFchlYkLxLp34DVYFQduqrkfFwJHsabyFhF8o+qWeyCtX/IYRYHbUCoEToYNDY75okSs oAuKU3whvF6piUzdHGN7kkrZOJVKZpBMazBEs9IHwWIh2Q1cO/ueQygdwPngEXx7yV+g1OaTszg7 fhDwA1cCJ3CX7+votByAKWWDB9UCAfeGr8r97Bl8Fdds59AdvYLX+v4VFpNdwJLhUA8ebfpdnPcf xR01X8KOvmekUEg4mMqiewOjJMoMP7l4alcnT+P1az8t3BzPuV6bStKZo3nUUqx0b8p1DOr3zb1k nz5zDH6f+RK9dE+0DVsaHsF65914te2fsNi1Hhtr9frU1BYqgtyRKT0ZH4fF4pBuURqZz1tNrgUY Twzho7G3mLCbYTY79ab1VAz+SASBVFqE0WE0wGMxosbqQSBhgSOHeemHlivLF5RDkwNiKEL8e55n CR5s/FahEZ9xJxVENaoicIRn2QdiU+3S90CiYCyTlKSWHCMm9lQMBlJUDt2Q0xLpTTcZnQ8whUrN phSzrKmmoinGbHEYRn5YyJ/A1WQ7OL8iT9lgvWJxyXqENH1IBV9N3iHjcIamB4Z3CJGPgkQCJA9X akEw4GpUH57A66QAOVWPJOus/pIoWKqy+KmHfDq1Rb+avDehwBCzJ2/rlupH5OfRWAIvXvoJeBFs 9mEf/8cjb8Nrr8Di8htwp+0rOO8/gvf7XkAo7hckh17isbl/hHcVM3zOWlgHPRiLDqMzeUYs70td P0KNsxmBzBiGAj1Y6FktjOunmv8zjo5+gFXem6QIyIIeE2d6EV4L9+Nq8Jxu4XOh1TSBcy7E3XVP iYwRdh6LD0z7OZVpSfmNMEEvA/B1ZGLwPMjKpoeym0qEE6aoRnxz6Z9La+yujmexrfoJ2c9PnXMu /mCY+Ur3T/HYgv8LL1z+gbAVChX76xlWBVhdsQUf9m9ny61RaCaRZBIBac4BHEoY4ZQfJwMXhE/P oldaS2NX/4tCYyZ+TzYn+UaKJORxSRTJt2fn4MbKuwWxKBQhc0l9vpmHf+emMum1m2hpFFRqwAV/ FsHkOIKJhHiVMrNRrmeqIWYWTciFS9PyieuVPARO1D5HgbKCnLC/2pspFzo4+9gZu5PXwyo5C4aE Lxnn2pLjesceMhIiEuIkEbEteLagIB57uZAUk1pMeF9USB48YW32oi+1bmSxp3Az+UYh8dJyb5pQ QN4NPS15GuN+1WBByhbBGvPdqCqpwK2NX5ScqDt4CQf630ZSJnZoMhDj/b7npLFsNNEvoW6ToxX7 h99AUs2gpXkezgQOojt0SXomaHwaba0Ss9fYmoT9TIWIZsJCH9818BKWlKzHOb8+0YbFxnAmiO7k VdzV9BT2db8ym7zJPZNRy9CPveyhUUYTU69hUTCbTkmoqRNZTVJNtyg6JE4E0Z8ZFzTs0MB7sGat eLD+W/i8RTmb51yKkyN7sbRig+RQepPd5y/230tP+uXJTpwYPwKTIQgtm4ZFtYoVp+vmm80JLRQa OzeI8SnjREJuQfYaJAOi2Q/Uf1OsrAjZjIKM3sNDyncW2VwxqJiRTjkwGzjOhdwoB8ZiV3Fx4l1J TMlfYqKW700Rr5FTtLwm5BP/fIU7T/TLX8IUR0eTfpbPq+wy3u8e6sTckpW4GjsPk8WKhfZ1ct+r y7ZK/tAXvgYr3AgiKM5oS8OjOBn6CL6SOciaDVhbezsiyaBY4BUVN+HMyMcylIG0cpfqEQssSSPR LY7VyUSm9SRO12+GGE4BCchilqEIyTh2dmxHibsCR8d2Izrkl++TxRpQXPjC3O9JfYMVdybA9OqE 7rd3MRfS+39Ukjf9CgxRG/7rkl9h79B28X7v9f0WcxwLcXHyuBQEOW7JobqENMjmI4aFmlHDmlpy 8qpxZvyAhMV7esjYJaMgKR4vrwCd4csShhH6vbX6UVwJnkQIQ5/Kt0ZHx5Gi1zbrpMVQKI72yUsI YAjz7euwvHET9nS9jOWejTJeaIrRoH1m4xrbh7d3/hMenv897Bj/NdZoWwrlic9a9PZqm/80Xu/9 ofD9F3kfYBqlj6hRcmgDE3IQOUkIdEmYsUAuzHkDxmusYIqXIFdrZksu2ZpGnfJd3ElXqBznzPlk egLLKzbp0F5iHJwlQQHtHrqMmyruR42tcQqbkpE4xcj59DVts4ovZUo1p7++KO73uN0wV1qRySbQ ExmSIiVDRHoQseDxAKosdeiNXhPl5ASQC+NHMd+9Apf9x4SecSy6SwiLXlOZtAUsK9+EIyO74LVU yB7RS7Eewt4EGp38VI3i1ueZ5Dvu8/6ht0RA05ks2kfPwRorQX1TDdZXfA2vdP5Ywj2yntPsQTeY ZEgGK+msFDN8rXPMlXCPxMO55hU42PUh6urrYDBqck0Mf1i9Zh4xnhgUUioZ0k5zCYxmMx5q+a5Q ZliN39X9PBpsLQJUrCzbjAvBY6hzz5PfY92FOQMVhmENSaazHlTOa1OJFYMKt9uJC23noPgiOBP8 GJkRC26Z9wQuJj7BgZ4LWFpyA3y2ukL95FNnPctiQZGNXQcGd0jPOYm3DPs+c+VQN5WH94Xm3xea AvkoeqWc4VCul0LTuVQMCTLZ6TOzGHNywFqhNTU/4GCWD8tR+XIbMvs1sbB2ZGgXLg0fkQITPRlB g8cX/TFeuvQPeKD2G8Lx4XbklbeYKTzrfRZCsM8mzOUX39fCmVWGFDonL0hczAr2yrKbpEOSnsxo 9mJrzSMS4zP8Wuq9QagjOmqlFwKJ4sx1LhYU6ErsjMCfqmbSE0ZYJSkmJZyIDUOKmCEuHmrqOqZY AIpmwGR0QkIgdsuRCChmJqugtWop+ic5eE+nyLDLjwDBDy78B2G8VjuaBHq+r+HrwgPb4ntQ+kRu rnoAewZfh89Th4HBfnQ79JZogim8l1d7foYUEkirWXxx/veFKNoROIfuwCXxLm6lBBvL75J9Zzcp G5h43yya7u9+Q1oSSNbkkAVDEYI93TbpZ8JopGviAqKxFLoTl9EWvoilifVoDd2ENstR7Bt8BVsa HoanzCzEy2nnVYRUzjbmJ7+ZNGJnA4ewtm4r9ve8gTnORZ8pN/mfqesqbofBkBUOT2+kDQ3O+VOV ghziZMz1SbBhRx/KoEsdyWu0HixOfcanTNUpeKzTrmcqP2F4QDSnP9SOrdWPFBIvUl72976Gud6l 8ncmjtMLSvnxOTNr5rMZq39bgw49WCwbkRCI7cLcBE4dCaUmoZqtMmSNPCOGHERYSOEYinUL9YUT J5mT2cwutEXOoiN6CU5rCfzpMRhUg0z8oAVb7Fkr6AIns7xx9aeSVzDUotK1elbkQsrp6CDDJCI4 9OS8F5OqIh7IoCvYhleSP5XK99XIOUHN7qx7DI2xhfhi0+9hR88zWFO6RSrFzCdY/GMITYPXWNYq XuPD3lfQWNKK+eWrUGKtkpCqffIsuiYvYW/Pa7ir9nHcW/NVGX5AUiBDphsrtuHtvqcxz7VUro3X tKrmFswtW4KzIwcEVKi1NaEjdFEQLxqA++q/IQRKp1pVCCa31j2C9sQJTCT8WObdDI95Hs507UHW GsMc0yrML1sJl9kFkyWp01/y9d4Z9d/PWxaFLeMGIZQSTPnsSY4aDgy/q1NNSL9lz/b2az/GI7YG SSj1Xg9d6ExG/bDWlG+VJLwgbAqEb8QKq/6d6ZP/Ck0/08p0+dxAk8mCbCoiB4nDHRjzcUQMXX3e 4rNh52zfYdzRdDMOd78rBUzeIBt6SOCj16EHmzlgQX4/Z1UIJBTykutsaB5BkqkjiirekZyel9p+ VMDfWSu6teQL2DbnKXwy8DYStLDZpLS5VjjqBMygNWRPBCvkBBwYmrX5T+leRh1Da9kKJJQEttY8 KtdIBis7/chI5aKh2FC5TQqlUxGi/hfG+0dGPpDQjbvZNngZdc0LhPZO70Yi5F01j0sYSG9j1FSx /C6zV5SZPRnsP2EuwAo4IVOzyYb7lz0p43k+6n9DPDjHvbLVdovvIXgMpbiz9suyv1QqkjfZq0MK zv7hNyXsOzDyDpZ7N4jAsT7EfqBHG79bGL3DcI5rZ98LUnQko8CXWVA4Y8LQD1R/G0eu7sP5yAH0 uq9gXdV9aHRyJKwuOZFIGE3WOvFSeeXIn6VOayqSuetoDBWW1+eyeKQVgCjidXRD2nUPDlFBcp9k hQ0rq7YIn2iFd/O0DyMsxq+HR3ejO3JVroUHwESPyNVX5/2XwkXqMqhMu1AW/kiZ5uEQMqXQkCOz N/Wa/JtKwhlLGxvvx6nh/UKLyCsgP4sQZpW9AdeiF3Dw3E4h45GPQ4KgfKwGGYr2ds+v5eDYz052 KgU6L2CCCOXGeH7W4stUg4pUOoXxyasS0pAty1ia4dJ4bBDn0wexzfdlYfHyPi8GjmLH4LNYX3qb MH35ifUcmBfrlYS4ylyPtRW3igWlBUwpyanuOtWOentr4YA5p4qvyR3AtNCQno2zqghasI7icNkw NDoEzahzpKiE9LIrSm+SJjNShQ6O7hTU6ZPhHZI4c8bysvINaPGuwArDTTg5th+7ep4XY9MfaMcS 91p9xq3BJhNL3un9NVaV34zfXvs7iTJoEJ6/9vfoi3ZI++09dV/NTabRYerX+36OVVU3Czm1wlJX 2Hsq6PGxPRKq3j7ncVxtay8CWYATQ3swmu3AZt82nJywYUX1GqhZI5Ip5mgKykodMGlqIVopFH// HYth1XtDz8uYW850vp6CcGJOW+AsvtXyP6SQXVCbFtdS7JncnhP0qbCF3WX8eilwXFAMkuw4DYRw LpNG1jLyMaB+4fqmMBKiZWNbJNfrPf+KlaWbcM5/RA6bBDEKyBvdv5BCEJEaslApTPom6MIxmRiX bj5ynh5p/W5h8PQ7A7+RaSa3+B4uhFdMKIOpCVFcUslnVYjPqJFwEd9nyzEtMZNRCqw+LFkPO+n3 mARLM1DuPzJMyRXKB9uMvwlnks5PVIwej9aPUw4vR84UXkf4nBQKURhBLhTdY8247Dy4wL3n8IFS SwXMigMDI0OIGaKocdWLBScliN6LIR8NGKvgpJHPr1gjfdi1JfNk2Pc7nb/CIvcahGIMa26QwQ68 LwrRhcAxocAPRbsltGaRkZ777rqvSJszB9uxoMj7Y7i4sGR1YV9tih0eSzkuJo4Urp2G4qeX/wyL y27AIwv/AFZTfsC0fpMcMXt8/ANpWLKaHFAn2aFq1CkqApXrlpK1Eb3gmqMn5QGNaWztaYjMp5J1 GlNS3E8F9kq/+sxF+J61o7uqv4IyRxVDrKk35UESotMT4LywQ9pMuflEqug2GS87TS5cCByXMSqF 5LxIq/WahyZCxmFdXFQAxq+M/8ivYSxNwSPGnYKey5CHNREbFi4Oe7kT2TgGI92SYFIoSkxlOm1B UUQ5OEjg09QRTirX6wAzSZGzeZE8XJhfDEGYW7BOwxwkkBiVETYMvbK53+Y9TAkuRGDe6fu1JINs fqKyEM1hfwuh6tMTBxDPRtETaRd4OGAPw+22yzxgKkT+muSzZ4SLxdfGMCeejchESRb5rF4H7IYa CR/Y70GkbXv3TzDPuww+TxO+Wvqn0m9OwKEv1I7l3o1wwo3V3i1S66CXJQHw0uRJEU6GYaPxN2VC /p6h16Su02m8KIk+r5FoFveWNBtW/3lGxYvX0Rtul+5LTm0JZgLIKlnMK12OjXX3wqBxinqeaqKv Twbfwfra22E1syhIZoTO2VPIt5tRsBLEbzZl+Dcuq2IThG42VgUjm3d7n8GGsrtQ7vLJGUtHYZ6f RJoFY+Bp+DTnGak20T5ytoh05Re9Q3dEH0mf72efChX0oJ6egtac8TGxfyZzPMRYOiZjY2S+rrUG pfZKERRaCAoWOUxEgjiPipRwtuByw97s/aWAA1xDiZ4CvaJYyFnIpGUuJit+Fv9q5tKHPRD5aJbD 462QurHOdRuGU31iLHit+vgjfZVYyqQOxO9RsRj3k8jI0UaEdkmtaXLoAMjQ0Cj6MsNYuKBJknFR iFxqxiS6eEZycQcjO++YA/C6PPYyLHCvxMnJj2E1OAWhWVJxI3zOJrn+y/4T2N/3huQDZNayyn9U +1D6uN/o+bnkPKQDMXwmOW+Rd52QJtmhOBzvQVf4oox55agh5lhs8mIyTwViAk8Yl3Ay+0hoBHn1 HEfUGbkkw/nW1dyJ02MfSQHVZSjBItcaHOvdhSvm47il9uHC/QlqqmTF8LL9Ow/55wvLMxd5a8Uw 6Kfg/M88Y+ahnK+lyly1mT9jflRlbsCckoXyvs9f+0eorJSH02OCBpEORMEi/YEVTwor42ZewGhi EGf8nwhzlYuJGocCUAF29D1bCHvyBbz8v/kaNs9wfiuFoT/djcbSxaI8ExgTD7qgcq1eF1A4GMwo nxtLRyUuJkmNIR7DLL5mWeWNUiTi5wwn+/Cb9v9HknZO+WNewnyFxUbGytfZo+uEL8UKwmFm+b51 jvqsRyBwXD6HwkAXXWwQeF6TyQlsq3lCag6cMRbJBIVizRZaMmFVWLCs9EapFEfD++DzVQh8zu44 vVFAFwrWKvJNt7MJBwVJYn5+LgdVBw/ijqbHcWR4lyTW3ZOX5REGLCg+UPdNfDL8DlrdK2VkERu1 qGD8TIaEnHNFinqjewFGY32wZp0IJ/zSwEYjMN+zUsJqngs9IxG2W6ofFrSOlBG293KPmHeU2Cqk VsYZBUQiOUOtwTwPUURwZ93jcm/Lyzfh6NBumTe1RLuNI3XkvrgP+sAPU2Eon9539OliHq+FUUW+ cPzv8iJFcwtmigRnhk1Eh4VAGsxM4J2u38heqe1DbUg4/BgZGYXZYoYp5MWo1Y+qigb4lLmSrDE0 urX5MQmBqBjJTEwwdyZ9xQPkcqcsrxsIdwgsuth9gwg2G28kbsz1sxdm1cq8qoxU6S9MHJFKa/EE DFasPxndgThiuKnlfuH7R5IhnXqPrAwm+8sz39Dndsl0RPLGRoRlWvwAnAIk+DmLnyu1DsLHbPbK JMQKss+DZL787Kqp6v30ZJpeg54vkBoTqJrKTcFh7YJrZHQCSsqMJIdlwCmepit4GT3hdsmzONWF NHJW3fNXlF/MERiiceZtPmwkzXtf/2twai4ZsME4/pJzkRgIWnlaSoaiZPXS+5PyTg/+246/wWC8 BydH92F92W1YXbcVH4xslzGibInm5MLR+ICgcqxz0PtTiBgCjSYHpLOytWI1skgjmgojm06jwdoi 1Bx6GH1bFLza+y9IJqJiUDg8e03lVoz3PY94MgqnUYfyCXXvHXxVZIr7SKQpFJvAlpqHxHMVL1Je WG/KI62FLZq9/jv7Gc+oibHXiS3LnO4Szk7ip5f+b8nhGp0LoSYNEYwkehFAAOH+GEq8HnSHL2Ek c23am/DQWVHnRD5+bQ+dkUkn9A4Fqp+mSXGK43RIDa8wV+H06AGw5tgXuio0hlJz5UzQV4Tw0sRx +X267Kk7yeJc4JAozbHxPXCbyzAQ6ZS4mEkvhc9sNOPbC/5iaiIGNLzQ8UOBMDOCdRdNusglSdN7 RHIrxwrg0q0TX6W3EKdSGSn6kWo+HOtHLJhAqjyDcDqEWDoolWW+Gwcg8B0o6LoXDIsAEb2j1WNv NwmZUUThcOnjhthzM5jqlmmPpYoPLYaV8smSl0w7SP3aN9TfJ52FbI3l+9MgkGbf7FwsQsyndeXb bUlBp7dg2MPpLNfC53E+cFR6N4hMkRX8teb/IoVD7iVbNdnuaje4YOLYn8kTEqufnzwCp6UEi6tu hNPsgSXtwHhsCJG4H5WWOqwvu1U+Z4Y+y/7y+S7cC+ZO5FuRVZvb8CLZsmOZTKy0idcgsZIzuYiE EZkrXoww2JOjma5j7mYJs1irY14Yz8bFszMRzxMWabx297+MW31fgN3iRHfgiigM+/F/p/W/Q72x /nb848W3scC6DptW3Q+r1Sz1CbOZtJCZn11E7ejPSHeZ4PUF+cvi4uQxqTe0uEkr1nAufBRV9jqc Gzsom8QwIf+++febTIyJgMbTEUHFZKBDVh+hz0450stZtGMuw3iaFo+hIS1Xb7xdYm4W2fJegsrC m+bwMHqmKX6sJu8RSI7LhnHjZNMNKoZHxmCz2WGxqOLyE6kkjAYXjCkbwukIouE0zqsnYMyYUBFr xbHUR6KoJociB3tX05MyhG0k3oPeULt8zunAAbkgeo9mz1JJwBUkMBoeQu9ALxa3zpc6xEioB5as JdcYpI8wpfWmovDhN/nFkCao+bG65GYsdq6WVl2PqQRt0bOoNPiEZsLZxU21C+W1HMLAxJ3zzPgs D4672VR5j/SN0KtQIdh3T4MXT8ely5AJOEGSgz0fwussR7nWiKVNKzAc6RWKjZZMCU1jfdVWPaGe RTaKFYVDP3qi7VjoXjUjvtWmCT1DPuaj+eFxzrBn1uHhwlvLxvWplpmoeEp6lJFYvxiKfEGLXpIG kuACPTkjH+6n3h07UGjoer37X9Fomw+3TfdmNOzfX/wDAVZcaglUtssS/lOtgN1uklifUCIfjUHh 5wdwzYzdSLFgll9cpCn8JRc+5Z9ZQevCZzJUFM20ykPJfB0TYG4YN2itb4u8Pg8b7+5/SUK8KmuD bAITXgIJtPJ8xAEjIRlP42jGTVX3ihD6HA3w2CswlhnG+OSwfBjvxWutwMmxfbLxhGkJh3JSR2vp cpy4+ktowSzsTitC8SBqrc1oKS/FZNSPZHZIuhtHowOo8TQilg1AyRigJi3wlZCzNISjQx/AHx7E au/N2FL+EPYNvibPJWFoQat+R+WXhH4xnBpCrSWLinK9UZr3zFyF82+L95m1lbSWmWZB+b2DE++L 1SMJkh6LxVt28vHgnSav1BrIrGY96EroFG6tfkTyOFpNFt44trVt8qSuIFAEyuV65tIPMBkN4IHW b6DLeB5hfxJWgxmRSAgerQyrfJt1mLSoQJcPmT+1pgIEGSV0ZHw3FrlX54rG+T70IlFQFBmUJz0k ikGa9K63WANi7wvrcKwZEcSh4rPdmf0fPGeea7Hy5heNlmNyP0KJgAzV4PBvPvvSr47gw/5XZYQr n1fJfWIB16yYoLJ9khbu7MQhnBjdJ51ktPQHR3ZiTdktMl5GusfKNkufun7/Ogat8//z8j415lkq JBYAACAASURBVPzg8E6Z1JFOZzDkH0JGsaBpTm3hovObrD8fg627EQnVQumYoFxmw9SDGOme+Rr2 fDOv8dqqkE2lJA9hC6soVfmt0gZK9iljd9YuSMUngsPQhtazK3oRTa5HsMi5Fgs9q2Sq3t2+JwXT Z9vxwprlGIp3otm7CIvUzfgg8BwURxKt3uWIZCdhNDKRNEiSGFD78Gjzt4CUCrNZlVm1F8MnZIYW i3Jc+mgaj0Ch5LHRQvKhpmPREdjNboyNj6OytFyg63ylftpInFyPNsMoWkpOlaFXIeLHXIAhGfeF 1eyMISPDFnYPbEeDs0WoQZxsz5YECg1fz6/sXSE6yNnAmb4X0TN5DWNBP/zRUXm+iKYacKh7N5Y2 Lkejbxmq3fVwuRwyCmnm0xGLowABM3JEz5n6wmsQ9DLRJa8xZS2IZkPT3iOY8OPNa/9aGPTANRjt xg2VUyNF84u1JMrhhtwAv2kK+TmLxUpC2cI/bPp9GTfKzlQyOQiFM7RcUb5ZcsCTE5ztZYbqsHgk XCm1V6Nr8iI2Vd+LErVc4rBtdY9JD3pKS2Bn3/NCZsvTyRnDyeS6aaxc/euGqm3yQJaspuAX438D k9U0LZ4mesIYmo9BYCLJsn9D+UJcHDuMoWCndJFR6BlWzXEtlJCHj2ZQzEaYVRuWeW6GV60UATob OCjWkkLGxy+wLkP0YVnpRkkCT47vFTDBlJkUcMFmcIjCuMyl8FrK4VTdAt3OcVXD6ZiPjJaEr6oU 5rgRtaWN6I1dQiZjKtDyCThEoc8Hs3BoRA4WZqhCDDGlpQRJ42t5j3wd/83cjKEAaz7RVByecnpm DV5rlTxS7VrkYl4vCoaB9R8WLAlEsLpP+PiOxsfleYNXB8/pE0kUC0qtPgmbyCbmYyfoXXmdRKII xdOIcE8/6rsCk2aDmrSjO9IFq9mDgUQHfGiWP2tbNsHpcEA1cpJ3nhY0o0V5Rnicv+b8c0mm8eIM +hBBu8EpeZMk4dDgjw8zrir8PkOg+5ufKnQT8tmMnAiZR/eKF++FTIppaxblYBgmE/lz40S5RM68 83E6tB+lXh0E0QemA/2xazLClCnASvNNhd9RT4/uR6VaKzGXKavi8NBOseaMRXU8XhFBLmxI7mLs vBm5gU872Tx+nUwmYbPa4HQ69WdWUDjSERwf2ycPuiFCwhiSz6bgoXLgNEfEEAmhgMvThjRI/wBz kmwyi4VlC2QYsVfl1BBFBmnLM05y41MZfnGTZbqHsUQ+V+gs2WShq4+Pu2bjF5t/CFemjXx2RxqX AidQYcs/ukuTR1Yz2edAsnKbT96H729QTYV752KCS29xbvwg9g28LsVBPkuP4SsRGtZtLgdPSYgy ER2FJeHGOvu9qKuqlvtjXM05UzQWhIlpsKptDdhS9YAMEhiIdEhFmznfc51/jy2VD0j7KA+fzFs+ p5HQLOF5Agu19ia0TZ6Tn5HS48n4YGF5MFMDt8eJVAhYVLYaVcYmnEi+i63ljyOdTKHEzTOdUThV 8sqQH7Za4J7m2NRTTXD6thXVL3JsZKKARPVMaSbGPKOYsBCKBVzmEDMg4fNizDYxipyJMHPlC5af t97p+bUYRqYLlG0SKjndZFHlOpEfRkl6vW8qiuH855m9RCop15t8JMeViKWiwOhhy1a9aln04qL7 kQtlHE+B4R8Zu5lNCbOVZAyGFPxst9eBck8ZDg3ukNlFTJaYYNHK8wAZF5L7Igl0Jiyde4xFyfik O5WZvOHLklgpRiM21N6LS4EjaLQtkAvhzfM6S60VYjFZ8KJ7JiOA10iB57ys1AgTcgUnJvZhNNUv lPAHG74lXuTA2HuSqC4t3SD5hGwM40+DCWaDWSwbC5Jk4zIPslmchQd8Mg7XB2Br8Jnr8dji7+Oj obfkumiN+Fw8Xgf3g/35Z8cOw5Sxw+LkvelhFJ92xfCDDWLkN1ERSUxkyMbhD8zB6OkIIetQtltY D4y3WX9hPD4Y7kNH5CKikTh6A10IaRNIRJMosVbApZbBg0qsatqIxrImJJJJCQ15zVf6nUiZA6hw VRcNt6Bszwyp8mzOXGhchAcKVM9JLgKNF1nRPBZIoc/NAc7vrW5Iiw1qvgSQ81r5R3VPS+c1of3k 63PXeyY6jSMNLo0wr4151rXwBQzEuyWXJGWpaL6hLBoliQJyH5ifwKMSJSEWz4tirMziULFPyNNO Zi7eLB+e4rM1yYzZ/FhN5jMUNg44SKeyuNbVAc3qRp96rVBHYY5BIaJA8yapMFwWg0UEg9pMYhzj beY/1HY+jo1TMfg9JrtEvhibB1Nj8jhojs+h12MSxwfrMDQhS5ZVY14bc5tG5hfetZJnUcCZzDmS urCx9ySQGC9womwGZ8E7ENkQwqStDn3RTgwle8Qg5BfzDbkXPhvRVCr7yPekBdWHxDl06gvfOGVE aDKGtFsfYJHfZfLGiJrwNYSz9RymBEPxHrkmIm6ypxwXFB/AyMQYhjGCsHEM8WQcmbgCq+qCWTNi IjaIKmUuVvpukkfoVfsqc89mZxNcFmYZr6N/NutFfF5hRUXNrKGKMq1jb0o5igkK0sbMv+T0YyYN nfdPikvekDAMJQhU+AwZdesQb8lfYe5IVgdhcVLlyQXjhBMqB/eVf9huQLljqDzHuQA+e5MYEa7O 0GUxNvnrp6Gxa+U4330Wx68cQWmpL1do1ZWRebYeik21YBWoP/2Ra6i1NVwXrZq6z08FUlhScoPQ 368zdUcE5OrQFcRiMaRsSckPyINhLeXBxm/nGVK4HDghL2dCzdyHLEtO7X6x84eibJwyQWiRGs58 qNJeKw/VOTn2MU5N7JfYlg8DPTnxsVwsWb60ZhROn71BHiLDBJYrb831QpNuGbnJtCp8qE7+jvm6 WJzT1XOHDBeCUQ7qJkerQgQ+mApIBV961PnvpF8QKzKTWXVnnsbvD8a7xVOSwhE1RgC3gqPjOwFH HGtdW6U4GFDHEMiOwevwibKxm/JK5LQk4HWl8wUC70124I6mJzA8MSiGyJWtQAZNCKVGMaH1wO1w Ixuy4La6L4gor6/LNcDxoT5FMX/xUfJM+PyUT53dLEqizVAY+Sp9dezw1JWOIZIoiDxmTit4EI5G EgXh+eRAmPxACu7RkaGdCCU5EMMovTc0fnxUNRdJkTzHQtt1ruZGZWX+2RO+IiANYV4aKKJRHEpd TFdhXY/jXWPJOBxKnlyr3x3zQ4bT0+Q4Z7xUEgY5ieRm3wMFKzAzpCKsSEhNlGcGYvBZz10krYJT TMrKyrDF/Qga3M0ykoY39cu2vxDPQISDodbveP9cZ8jmXOSewVcETeBigYvhzLdb/1yqrE6zF4Hk hBS/iM5Q4PlcD+YwDN1iyYiQH/kosmgsJrH5WGQYStSBsInP6+hDW/AcosmoDFSzZD04kzwkjyKI paL4TfgfpN5ycug0JjJBOCoSGB4dgcKZXFoKdy35EjqjV6DFdXq60WBGratZmnF2DD2HamcTElJz T8LjrECds1mKYRfGj8BmcSMQ8qPW3CK51fr6O9DgWSB7y+7McNIvikXEhdwtKTDG/eLuOaU8Fg/K w0sZxPsNAwgpI2g0L8bKsnXye9fM57C4coX+RKfiQlY+iZ5xYDJwgv00yMBA3nx+Uv4MAqeSP/uZ K5ejTLUy5z9DD4cYsl/wH5FicD7E6gq3oc68ctpwPQo20SnCtaxjzdbXMb1yLmVcof+zOzPfZ0To m23hlA1OlqHCMRfpDV3DOtsD4pWPh9+U4m6Nfa5ELPRQq8tuKTznccohaFDprs/5P5aHsE/FlMUv U2T4MSd28LtEAtiLwByBnChykxg3U4m4GALwtYwTSYMIxCZQxkl5pnbEtZA8sIQ9AXx7/g5ZnxRg LlqJCgtHaypwZohn54aqKnojEQtva2vvwFrfbTg4uAOaCkSVKIbGRnA2egY2hxW72t6Ez9EEevGj V4/AhnK8fvZ5VFfUwZOoRSgaQlCJY755A9LRDFRDFEvdm3F4eCc0kwmedA0sJqcAE6XeUphCqgxZ iFlSEru7zGacHT0og+3yPDV6h0tjR9Dgno+uwHmMhfukQMm9Oj3+sdBgWGviY7RZ8T47egI95jY0 eOfK4yP4HHm3wQMTH2akstvPg0sTx7C5/B4JrRgu8BnyfEyCy+LVUb76LVInYT2ELGHS0TnPimEl owICFxwYJzT9TzEypgsfw0iylTkkPE/AzNehlGKUcnqJY8bS35HXy9GlrIJTRpZ618tsYOaBAvbw KWOZBJRCDVAvtJIdnJ+lNVsONFMpZ1UcRX90GkELmc6Re0YIH2J0oe8sYoYs5i2pxROlfywP8RmN 9uNi8JjIIOFyMrcZidDbETDhG6o+ez2uBu0CgdLKzUQxiDyxKqnHd4o0JbV6lotmfjT0Jvqj14TO Qa4PCyy0qNTGatscueGh0WE+/BsxPu0om0QqmRSrLZi0jL4xF5pgHmz5rkCY/sQwPMZybLU/Ksmx jMlRHaL95PlUOupRbquV5JV0a38mgHgyhrgWlqp4f6YNPnMTBlOdgoak1CTGQga4jD2YULtQa2nB ueiHqLDUI8pHE4y/hDUNm3Fu5BjumfMEhofHsGfoZdw23wFjWsNd1U8g7IrJcD2jasAPLv0HGafP 51SQjMjRPezfZi41Eh9AxBjG3fVPSaclBZXJOu+BAs57sNhUwKTm2kc1EXB/bFhCCNYC6AlYz9Ep +8xP2N/RUyCBsiEsL7z8H/ekL9oulpDKU2apFIHrDF0qPGa7IEyzyF29fZ4AIVSQT9cUlII6fLoG roMMfIwZuUt87AC9PuWAxo61qxVlN8m4n1K7T0ajEpliSCxtHp+1irXy372mSI7c/0pLDebVzsfK quU4PPwuhoc75fteWyWqnA1Y7dsqUQhpTB2B80iG4uIEGLWo3DAZe1l8YflQi1z94Xel6MTeAC6i EfnHK9Ny3li5TaZp02tsrrpX6hKkfXMaOTUzaYwik8pIYWdpCWNi4On2/y3WlJPGCYPmd2NX53NY 5rkBXrMXJivnMdmlo40XSoqEvGbgRaFEhKMTwiwlepKtVBAOR9GVOifTFl/t+yd8u+XP5DkdMrnQ WgOvuQweZyUyo+O4s+4hxHv9wklqD57HoLEbTpMTtZ56VLkrJfbtMjfBZOPgPH06h92uc3cooCyc 6VZuCvPkHRCupQfl8Lbjo3tE+XkPbAsmqkVB5mhL5jGBwATqa+cImEB+k0NxSg84FYgAABVbHqOd HBfhJ8jA71c7GtHoXojnrv2DNFrpM7L4MJ645Gle1SloJIEIPiqt0MxUON7pGsLrJT8pyGedTBEh crKpzOorGJ7IUIbQJQzFe4X7JXF8rprNYW0EWUg6pYz8uwV99o/97DXTzRUpen+sE6a0Hd2Ji7Ba VDzk+z+cvQeUXOd5JXgr5+quzjmikTPACJJgzplUoJIVrOCV12lm7PHM7HhG53h35zhpHSSNApUo SmImQRKkwJwAggBB5NjonKtDdeW8595Xr7oaoC3bTwfqZnd11Qv//4X73e9+X5NhiuTCQlD3j76s 0JkKMyFvExqDnbjEf5Oux86HJsTlghPke9MaMdGlNpIp/FvJ0WcUaFg5g0/D2I99CKRbd/nWyHKS 41NXV6faB+X4M/mM+tjZpEMBBn42LR8PqoeYgnMMX/iPC4xoBb8yhqXCB9tv30k+Kw8WSc+pwMMw xE5Febu11PFnjDqj55tMDGJg8Tiu8z1wAWhoJO35dF4LkCGJVAzdDgScQVl4qpSw45GL0LzpTAaZ WDP5ZKrI8IdSPk5wVLVbCR9HWbOGwvCBwmeUwKQC4quTT2AuEUa3Z71QGy5shmY/PfF/y5PSy5od iKpDkdafHlNBi/eM1ro3tBFfXPPnqHU34+XhXwjxInnwU92/rzEGNCjSrlI4Y8y3rzy44TkPg0LV vBY2Oe1ovL3ivlQk4Rcc1AR7aexRbKu7ViH02qpt2FR7NV4bf0K1GNYaFDpnZiUAQtj+33IsEUmX 6kyVv/vYGkgZMluq3VS+jJ4hkGnGBwNv4cbeO0sjBK2osTVKCHBV1dZyDkOjTtX990deFu3dTgvE YgqTtMqkjO+/b/pl3NZm6BkxoRY702RtlmY3aARaaYY1FwxvNpNuJv4szOXiQNZRkADCTW0P6o05 T++SuhtVN0nlDUYqD1ZISbKj1VFtJZ+S8BkHrnAWHvsQ+NC5qIkgXe5fBVeVRx1sL4z+HFtrrylx wKzqa+GdIoTHHEc0BotF53Y+dkJWkDRuc8GwXrGyaovIfdwofLBsU9V8i8BGGQgjpLFgLh/Gofm3 1KbKn3OmCTfoNW33iDtFK/pB+FVdKzcZp6nSpfN+CVKsacDhmfdkuelBOTPj/vavqTWV4SyRpaNz 7xmF0lIzGu0S0T8+K26GrYGrUWOtFyGT1XSf3a+aCA0VRR0oysBrZftxnc0YmUBNXPK02CFJr8qx BrTyy9fabzfdDZ42Qd+EnblJafBoCMiJOhHZr9yDtBaGetTlpbjgrlO/AGWUF1KzCASCy2glS6u6 8vOXN7r9Nu2ryj9ZtoiJYMUn0G29DFZnEbWeJmNUeAXEbvIC+ZUIZchZj54g11oRdsaoQ7Hjqk/w ZtM903ITpqRlJG2ayuZ8kOxx5u+4+NnqyoIc6RRMaFh4e3nsV6J289hYe4Uqpp4aP25YeRt2D/wE z4/+rDRvw2C6coNwJwfdtVhRvRmPpf8e1uJRyd+zoEPvlbFn0OTtVN2EsT7jauYwDZ5WYfgKbex1 Os9H+/9Ora8GiZJhowEhctMSjODBYiTdKjcZ9XTJxyGg0OLuVKJrFAddqHbWajEyPGKRslI6nyol d7R+Qe9Jg0FYktfKivv2+hskxMzNfU/H7+qZvTLxhO4b34Mizz869v+i2tGIdDqt3K/cmViEioQG jd+tGhCJhkaLMeknEX0eYWxjFIDBdVJB1NUi5I+bhOAAx6hRaJphAvO4Z0Z+qFYDgiRMRpfxvi5a Z5WGsrjsd9wQ3MTmb1n7ogGi52Pb7mh4BBNzE6gLNOLpY79AqC6IFu8qLExH4Q0EkbNYUe+tgy16 MZnwwoX9rw7LylyXC36m9ypiPjGHtV6285qzHs2ekFLTWzlnKVVByk1/RdiJgXM60KG5d0S/4IKS iLPVjg11Vyo5JsW6p2a9Rvqurtsut9RlY12iqgzdmW9+Zf7OUr92UWHC4nwc02NzaLOuhztkE3OX hUB+jq2kkxvNz8stM8ZeyM2prjCweEKhFWkvPNbXXI7pzLgKZ4RyGYqRqswQhZubMDULhqyTPDrw bc1RZ1hGa8FkkV6JD5EWnV6KUDP/hnWc5EhSeQ0BCcLOnMPNzX91sE1ekMl3WfC4xDoW47n0EPg7 1in4A2pOwcEZKQF5DL6EnoChHtEpWmwyj3PWLKrdtZoLT17SWGJA4RPfi+fAB8jZjayJmAM8ubn5 jIjn7599Vfcwx0lLBCcsdtT6W9W2QBlQolLU4iV/judKJI5jysoL8F9YfBdKelYe9EJkGzw18AOE k1MYmh6Gx+OGPRZEbfUKbLD54fV6xIreN/U63D4n5jGJ+WwUtZ4qdDj6MBI7ippCL/wSZTCPCyDp 0nnQGPIZE86t/DWT/Xy+ALujrKj+sQeNrS3vxEx+GPXe5iUuqCrlJixdscEuuDf23tAGNATpgg2R Bp4UeUn0GFx4DDeyOWOengZoFq3q8uMCYGFMTUHFgqxjlTNkaPfmUrJ4dLunw8fR57gEsxjGdt8O VBWr2EcHj5uL164Ndj56TKLLhNcYx+o8CwVZUj545kJVtpAKRpS6pIADxQNS2ZheTziYdAuDX0PY 0C3wQFTxUnxKlGYyM6r4nFaV12bMPDfc6kx8VEVM5lH83GrnqRK7wI+1oW3ydsoRimklw2xB5n+7 rRE1bXFzN7g6MREdlDdNFGKansqDEjk0NAu5Wc03XExGUF1sxonsQVzScr1kNzmqgE+G1v7Y4l55 CuqRdfg6tMl5r61Zm+4zw7ls1pjnx02SzLIfYkSkwHNzH0k74OqGO1Vz2lZznUIfLhQ+Q3Ou37/1 OLd4RLy3bMSOTb6bkc8W0RnYjBnrONLuCE5PnUB/8QM4814EEUAmkkJ9YyNu7vwEGr2tsHQZFpn/ mx0bgEVi3aU1SfnaFOepJDCWPK+vVE/hsycrYTR5Hl/u+69lCogxMiGPLKcFmBukVBRclqsXgaFF NvDVYTzTjytbDBKimcMvB66Xb06zZdx+YPJ1jMfPyHLRipNox6H3botLChA2RyMsDqsEA+jyKXhM ZfCr6m9T9blcF6o4KutR4eisYuemmhbVBnK5nFQtXC6jvZInQYhQp1O0IJWJK79gaEErxvCO5MVN NVfKQ9Aqnkp8hKCnVjWG4eRZjMT6xWfiRuZm8TmrcHjubXkCExfnLPXx2LAacgbip7SZqFLI5Jnz RpgwH1nYJ2IgLS694Ffq/wKNhSSeHX24PKuQsXVP1QaFlRyUQ2/IB8qYenXDpXgj8qRgWXK2+DdS gCeylGMrrlvegeiYg6LVzhCS6Rj83Py+jYJEuZE4oem2ts+qF6baXqvwaUPbFXh+5KeK/18deQwb ApdiTdUlIlg2eFrQ412tHh0uKFbsmXhyM/DzaagYVxNYUBvybwmt6KlYSzmzeFjUI4INM9lxbGy8 Gu8svoxT6X2Yi8+g17Eas5kwttZcBWenA353AM2+DoE0PPi8JpL9aPS0lCWh2INhzBxcOgnmnpyI Re/KfgyGt6TdmINifz3w98tFCIskEdoNJq7Ip1RKyek5moubrRbUgz43dwztrrXozx4UeGJuyPIL L5AOupBJYm/20kLldeOpbshdSObj8gXPQZ/GHxKipPwNQwkqNxY/poK05KKNc+hob0c4NqK/t9kp bX9hJxp7vzMKZeatPlWPGZKYRa6J1CBi0wul1yXZFIBGXyc+3/MftRiZD1G1r8bfK8vLG3tu8TDe mHpWCSnpIJQEvbHz0xJNe2PkaYUKfC1ZwN3VBs2ZBTtP0KeFRcFqTpNNZKLYUX+7Kr1GfuLGgbnX JZBwc/NDqv+cXPgAdc5G5Tb3tn1ViBjHBpDxzLZW9nwwKebm5cM/MfMRziWOoNu7EslsFHW2VtFo mA/xvrGSzAVihIiGxeddIiuY3o2L/sTCAfXcMA/aXHOVcHweNELMEZkXkBnMyjLVSdZWXYIj8+9J fOHjQixufg4JYrhNL8Vcw2ax4dsn/gN6guvRHliBXecfxh3NX0FPzUo8NfRd3N7+Wfxm7FFsbrgc Tw0e1lx70jwi2XmjKzI9ptmKZjsCNx7vI8M/TWUreXeG6je03C2Uzlg7JrGLzzuhkJjTrojuscZC EISGoHKOI9dUGeEt/R8FN6LpRQSDNcjmDHKjOf5i6bD+yxppPCnBqaWvZjHK5Ckt21El3J+Qp4ES ffyhGLH0CQGPTzNAyPBdkh01N4exY3mxM+lJFQ65aL0I6JfnEydE1ximCDI7Au31YuC+Pv0UWnzd RvXX2axGpM21O5T8U86G+cYNTYR0ISv47eN/IgNAKkc2lxJ6RT6QOQgnhRT6F46q75yhDMMohjUz iVG9rtHdLg9kHvQEjI3ZN83QpsbVXGrs4rX4lXOIHV0qgFKsgGiYyTZwOh2ITcUwmhgT0MDkeQnF MYTr9oz/SpuWG5leSn0QubgScE1kctUqJGUITP0pU671wOxrauB6b+ZFVDvqBWrQa7Bw9+70CwrL eG18HzZSUQhwa9216rTcGLrSIKtajN8/N/wjKTYyvAn5GnFo7i1kcovirnK9cOFPJIalPMlCJmVz TB0AziEhzYT1GCq/k0LChJ5ri+3QyCzxpAzVS3PtLG0OHmOxQWypuUYdqRpDHTuh2YX0OszpmJu0 ligjlQc3TDaTRcaaRMGdRq2l8WPp8x/nTStzL7vaW8vwrUndvvjFlUaH4Ymk7S/EnysoDeb3AXtI rzc1VXVOGgZqnCzvA/MH8qNcDo/yDXbPMeTj2OQvrPgz/OPJP0NLoBuvjT6J/FBOcTe9y9n5j9Dr Wy8OFDfIR7PvSnJzMHoCX+z7LwZt3NWkXIGq542BTqFVpMfM5MZEv9d4L4cPG6qvVNNRpaADJ7Ty xrNNlWxe8+qIEBmes6hY+KrGO9TTogea6JfVZi2GMC4Xc22xScAD9aW4ecajo7A57aiuZstARoud bakfzL1miOeR0p1hOOfUZuVG+M3Er4yZ7SlD1O5M9CPEsou4ovFWeV4m/swb5zNhXNt4r5iwlP55 dYJ5EOeVG3UlLnpac/KTmL+JJrNwQKEo1TIJCEggzh6E1xaUYeGG5VzBzsAaPHrqr7QhiOzRI3FU N5VSttddpwGwWt7s05nfr5HYnYFVGjlQ3gCW5YLjPPg8do/9Ag7bEuBjjBzPy1Pf2f5FaXaxAE3v YT4fA0kdxIezbwi94zqjIWVXJflZc6l5JGazOJJ+H+s6jNz2tx0XAhN2IjxcvIyp+ZUV31yJEpAs LqofQchMSSmRPye+zpFb4eSkVNCJNgkapu5sPoc8pf5ttFNWzOemsbJhG+bSYcGqzEfYcik5nWJB bpybgejYiupNeH34CS3qT3f/kZRMWPdg6Nfk7xRSxMXJi+eiKVoLmjliODarLA3hVhbAHun/ay02 9WxQYYt6t0y6S8MwubApm0n3DUsD+qNHsGv44dIiPy/VQY5n9gercG7usEYVmC6c12rSork5acUJ 9da5WoUuSeE9l9L1+5whVfspMMH6BsGNVZ7L8ebwc4ZiSoluwmlOlFDlAqVnY5hDaylPGj2mkOuK xttQ46zHXx79upLw8cR53NbyWezK/VjMalbet9TsFBrnsXn1nLhRqPLC+8VRCH2BTaJ/a3yaBVjM zsoSr63aLh1hM7RgKOm0uaSrTJZEuyOABncL7mz/ktYK2QbGfEooeSdkajZOmWAPFUwGQOHiIAAA IABJREFUkicxOz1d7hlhDWcyPowO99ZynkrA5ZaeTyiSMPrcjdoUh8BSb4DQvRFKLS1c6fW6mvRv fegyfS7vMcsOrOKT3kJje8PWT2Fg7iTaAj349xz287GTmMlM4NXpJ5WccqH9/Oi3kYilUO2vQWdH B5KzOVRVV2Nmelp04YINyFoXMIcY5iKzCAT9mF+Yx9q1axGLxhCPJWFzelFbXYve+g1oDnTj3hVf KwmNGTEfB+RQeZyWjTEoH+ZNnQ+hM7hKrngwfhppSwq7xn6iUIUFJno5niMXKGP3xdw8vN4qpJLR 0hxuVsTPq92Xn0OYmRZQE5hs8bKGF+8zPZCUQyzGsMdWXy/u7viKzo1J4fszewRz8/WsSdAD0NLx wXEB8/1p6Zl3cKNx083kJ3F325fUv1/5IC+2TlZZXaq2GJ6YHjwoSLby0HgFGRG7EaLlCcEbHpde 1BC4Mw72trBmwxzkxdGfY0Vwg1EszMzKAq+u3qLXLY2zMw5uLI614AYx+8vNBb6t9lqxFUglb6Oi vMWibsULj+WExtLYuFKk4Cq4sdKzHl67oS5CD7pnnCFWxRuQ+JlOwGpjAc/YaKyPiaeWS+jaLqKf VPy38VlWPdOuwEqNMeffsuJPD3Z8ei98tgvYIv/KQzMKOZtcSaDdLcuVnBmB05FDJpdGJBnGSHwE +YU8mqpbkcsa3iGRWUR1TRWsKcDtYTjUiePh99Bp32iM8fV6EU/EMJI8oZrK8PxJKftxUiuTJVLb uXjfntyFHY13YDo+Ijp3IctBn07NvaOCIbvwvhD6z5p5UeWpxUJyWugZFwOH24zGzqLV34tkfFHX wEVPGJZUZ1bheTDh5CZjTYMb8fD8W5LgJCJFy6wFaHfhqaHvyZqyXsLFua54qR4O+1X4vqrvsH/E VaNkm3Hw11d9C0fn9qoF1uZ0YBZGR6IZeVbWFNhtyVbQxfQCpqMTZckksQOcFw+i5EHEx9R14kJl kY5oDLWLuXj2sG04cQausEf0fsu0wT3iTJIbuz6pYu/ukUf0/pwutTT9ixX6osISSg8VHFBFPp8z Vi7PucO/Ap/u+QM8NfQDY2a9Odi+PI++sthoFtmWNorB7mXfzHxFrw0UGnVWxP7M37ipl2pqxjsw 1KaM1K4RjzGrxduNJk+H0C5S3XV/y5tkeXVRG73ECOYz/XeyHmFPZWIIwCj48WFsq9mJjd48zsY/ EqS7ue5K5BuBXDYnwh7hM+PEWEy0Ah1LMNkLwxFc0Xxtqd3WODnCkHxf3ritddeUqs9+jMbPK+mk V6AVppUmDeP6unsMjtHYo+hxr1YySNnMYwvvoadqPfpqtmBF9UasqdkuOPf47D6pxxfzRc3jJvlw Z9N9WlSstUiErUAF9awWFJXoOfiFSagEyIqcoXcSq2q24tqme/D/HPmGioSc0cGNTMiZquZUAmF4 x1CK3o2Wqcu7SrE6xRR47txU6XQcbZElRcfKgz0KZ6OHFYZ6PEFU+6oNPlexoPj77Zldeh/KrpqU GS7s7pp1CtnoMWfiE2gKdCkpp9Jj0FuP1c5LMJeaRMjbqNkjK0IblP8cnHpdSu73d34NhyN7RUGh Dm6ZvsHKvdOF7Y3X4/nBH+PBvm/CYXHD7nAqlM6k40LRiKoxjPYUgqrZFMw557+VVEhtgLg8b/ll RUMoEBWza3gt17XfVUF3N17NEClor8UNrQ9iITuN8fiwRMDJtJWGltWJdl8vGj2dqHU2LJtbyc2f QQZjsX40c3Tfv29/0BnY4YZPcSVrILQosBXhTnrKO5CoLDFnVdhthuUx+4iN6zECRBYSGQbw5prA BHf+XG5Gcex///B31C1oVM3TujGkSTDeZbIYQMhox9Rl2oROMWfgJmJCSoEvTtp9a+QZKYXf3P5p Yf+ciESUhjlKctaK/vAZWHxW7B99S+EbC5cUPGBLL8OTcHRM1tysX+Q4kDS1gJeGf4VCvqiaCtXT 24MrBb8eiOyRJWYuU+1pwBZvI9bXXoGhxVPYP/+aIbTt9KHbs05WuEhDWFr45nM5u3AEWUsat3Z9 Qd2ALE72zx5VDmYIOBfVc0/VEd4bhoe8C+cWjmJ99aW6rxwH4LcFNQaNHoRrff/4b1QrktiavRpb a65WvsGpUvd2/q4MDWHeD+ffJoVTkqp8LszBCOkmGdo47FJW7188rpbkZHIRbrcfVptdz5JeljQf v6dGdaR0LntB7UtZQ3ltV/6O07IkeG56rqLhQSpbbok+EpLnWjGVVHhPWHBdFdgq1JReo8bRrHyD Bw0e34evORh+XUaYxorrmaEqowXyrjiXZmtwKeT9N28QLtbh2Elc3XjXksSLec3lby0X3IZK8tgS PEF4z5TyN5uvuNNz2ayq1oQ0CQIwtGLiubX2Wgms8YVkf3oXa7En8ThcdpceSF9wg2oJL439UtR2 umJyrugdOCzy1OxBOHIcW9yL14ef1vvOxibRFGxGV2g1ChEXWkNd6MF2xC1ziETmUB9cgenIAjKT fnyq4b/oQWxYswVUD7V7LOhMXYY1q1cjEAgIzqUEZ0fVKkMALnqqNLPci0ZvJ5oDy+Px6cQoPpx+ A6FUg/KTQraI5BjQ7O5CdXOdoOTz88eMxW53Y03wEkI+WoRuqw/bq3bKIBgrzRAIZ73h6oa7lj2L F8ce0UK4vOYm1YHemXpe3Dl6ZoaLNHLc5PSMzFMoOt4fOaqwNRwb05QqMgZ4UBqVr6m1N6DZ2W6I L1isRg5QMJ52b3CDuh+JYnk9QWQupD1dMK12Cd0EnC4PPG7OVDR/yVqYSxvESOiLMhiUihKCWqJ9 0LiMRc+L7GiinvwZ4VuSnJmnUshbU6xKH851wU3DkPOD6ddwz8qv4aOpN7XmDBHDpZEe/+oNQgEF WmcleeoLubj3eOnaLuwwK0GiJeUThiRinpo/L41UZoWcSATpHPwcv5QTjfl8khnND2NicRQedwhr arfh9u5PafALERh11Lk7lLvQVVOnl+gQNV/5IBnHcyISuxuvargTWwMpvBN5Fiem38dK3xWYig9i ytGPeCaBjtBqnDpzBouhacCfRsQ6BbfLhdNzBxC0NeCNs8/C5XThjRNprKzeKOImldMpmM3Yn3UU qYvYfWgN9qLO1qgN9NbUs1rEL0/+SkNpyLRljnRm6BSeGP9LrAptRZOvAakJC25a8XlMnp1DLBnF SOo0RhfOI5aK4f0zbyEeymNNw2YcPXoCbrcLqVXDuK7ZqOdUHlWs4ucmEM1xfkpSYtL0sslCAiei B3A8+oGKhM+P/rQs30kvzX4Hzhi8uflTBou3og5hRAEWOBwuLchUKi7Qg8+aM9r3zrxkbBilIYZ3 LHuFio2xbM2w1yiXFSWk8qAow7INBiscBecSIbT0FhRjODT7prwFI4qPHd1c8XFME0jDIfNgUtQh qi8aLPXymjXHK/wrG07sfFNi9yzekG9DlIgWiOQ5Chybb2b2JBsudAmbMaqWumy5YoY8hps0TkrI Baxo8LbBXm8XukJJnipvo6zsvb1fF5zY5OnGS6OPIJ4PawwcQxoyeHmwGYeMXCqOT+UNyge1rCp7 U5gIPjP8fQPWZYW/UMDmbha9tuKNiWewqnqrJifVrHOgOteFVYHtOBc/rEp7lbUOL048gpu7PyUI mrnEna2/o1Fw5AQ1uztQ62jArJ3KKlblWAwLbmy4X3HzmcVD2MqeiOkntebMloBaezP8C824ffUX 8Pz4j1Az1Yfvnfxr9K7rYFkcLa4ONDq6EBsEbuz5JA6dfw+nMwfgrfdhYXYRrsUsbmx5sHyNzN8E X+djmon4y/PfVv3j8Oy78NgD6gExe/R5r9a2f12QM2VGGYo80f8dbKy6TO2/yxZsyZJTP+DozF64 8g6NmyuWQiIuTBo6rg133geny4tcLoNcNlN+BmaB+iKJ2nxOr1sqEhelWFJ5JPKLYiJrg5Sa0czV T0bAEwPfNYQb3J2isix3ARcvdF2PhSTTBeWHNuqY0QP9O3qy7JxdQYiPGq9XNd0pSc6bWx9S++SF 02uXOs0qf1baIRajLfbXg38v60JrzxiflvSy5ptUxzi3cBipbEI0DtYOuFE0I5u6SbYDWIxGBdPO p8OCJ41+COMgAY8UbyaNVFs8GzuiWJ1dif2lCb1f6vuv8ihPjX7fGO6Zz8PmYFV3Ubg/z9Pl5AQn IOAKogMrhVAx3MgWOfPQjYVUWLPB6Ql5ZURNXlz8SVlIgQVDSiUxZjdpDQFHjQwKP5N1GVphqgO6 XKSGeDE9P4n0fF7FuJCvFtH4ItbP34auvhB2HX8SsY4ZxBNtmtW4wrMBvTVrMesII9juwJvh5zSn j0REQsG8+9S7pddglyUV87+b/286P3YFXtN8pzobl4atLilCnox9iGtbH0AumxJl6MKDeeaT/f+E zdVXqQ4Ehnn5qBbpucgxrAhsxGx2CjWBZt0XahQboc/FC+vj4e2Pj2046/HyhuvkmZcfbJxLYVVo sz6HUcW7My+W9MFsyq1aPJ0XVNEt2pQctkQQg2E/x0VwyhWL1mzvYNfm+YXjqgexj+aiCnvF9dh5 Y0kpp4UQ94fWwubXqLPz6eNL+ccF7ZjmHixrs5ZqDNSFTRSSogCwaEMEgb0RPNYESTq8avk4kZKL n5yax6Ojf4uMxeibILWDi5rnR2SHP+NQFnqg9dVXYGxxBEQOGcff1PYJNWExXDOhU5Ir1ZGXNxqn ypIxFR9O9i5dMsORoKtW53s68qHcMgtqjGdZfyCP6tbWz6j5iLnSk0PfRSE7jWcGfyhrzodIAMDU 1GIiSzHm7m4PNl25Eg01AbTV1qO7pgbJxfViIz94wz2SCX3whocwnjyPKxtuQ25VTht9LHUUifoY Cpl6rKm7TL0vRNCIyHSGVklpnZ6fG5ai1bxm3aMKOsvy+eEG5d4Fjzwkp7N/nBFmPYzUEiJ1zwz/ EOlcQmROSuhQJ5fzH0nlYR74tfXfKgkjmEPpLiCtlr5nfsTkv/Lno7Hz6PJeUsHzsyoPKaNYFSE+ 1xNrVAQnSMDkWskWcqL6kHxJ+os0ExxV8u4UAk9nk6jxNErL2Zl34tr2+5WjxdMR/PLs32l2e4Oj RROyGHZy5AZ1tSjYQNoPjRtzMa2jC3ez5kSUWlErR4Et22ByGOZNWe5UeRHk6LDazSon52Lvmfq1 gUtZbHqA9B6qvkuNMS1e1yLrFPk8Qo5mSUBWbsIGbztOxA7oBrBZaGTqPIbGRrCmfSdejz2KRGFR IQTrH0zUCQ3nLWzGYkJX1KKmgAIHajZXdeONyWdxLmo8NNIsOGZsIHlKFornNJMaVTjGMEqS+YkB vDP9gsKxEbJcIx/hho5PwlIgu8DwcmS/Eol7c+JZJeHcVKtqtih+pndi2MqHxI1K6j0XGzsl1bpa ZFdHrqRS3oDNpcVBCskbE89qvgfHBzDJ5oPnRKi1NZeqjXgiNSIEbSB2SkTA6fhkuUuwrExS6pZj nsZxEn3u9bCwQFmxaFlXYLMb9X3pocy/2TXyMFZXb9cGI62Do6H3TD5mSNMWTLrRx/sG/mpn6/0S hC6H5ABeHPw5YOxjY9S4CoMO43mVIhKzTMB7xl4Wgxdo/D3XEb0G/22oNtTvmatyY7PL8b2Z3Xhw 9e9jKjaE21s+B78nJMV41tVWLmzChoYrlbeaowP1XGPnsG/iZeV1bOBjYs8NU7FBjBOiThZrBBRw o4Uin4YeQOJo+ZTCIhLSVAEuUY9583jSJA+qqJWPqbrMVtQnBr6Hdu8aLI5kMICTWMjPGeEPW3wt VEs3ekJsThduXf0QBmZPYiE7ItqLeZNIQXhn8nlc3Xg3rAWbRrO5a4CVfSvgOGIvq+2ZISGLeDwH 3nDz4d3f9Q388uR3EA7PYXXVJbix5YGSlm9c1ed9c79BrbcTI7EzssjXtzyAtyefV92HN5PhDGN+ oi0TyQFBqW8MP6knvDG0A0NRAwhIRrPIVhdwIvUBXhp5RH9Lg0BMnxuB39MrcTNxkRGo4H3gPam0 nPzK8yAsG3RU45aWT+tec9MycX1y7jvwWQMafba9+QZc3/kgxqaGxUB+e+g3OBM5Uu66JI2Fz4ci Ffvm92Bj7w4tGOYRRmxuDM4JJ8ewouamZeFRk6dThEZyrriQ2fdCqz4dG0HIWncRcHPBclLhkROm jA1rLH6zGGluLRrJM9FDRn9OSeuX78lQib3zNHDc/OUS/cccjDRoGGiYuG4NDpkTbo8fuWzauM5i AeliGiFnowwnn4cBY4ewofYKbKrbobdnCkBN4xOzH8D+4eS7GFscxpORh5FMpBCqq8LR6D5Zuitb 7oDfGZRUKDeBoZpnTF6iq2McaP4jvKjxySLwZTEUPYNMMYVcuoDhcxNY3bkChVQK1QEjgWWCTqYp Nxs/Kx5JIRY5idnUOFrbGsv6rTxqHA3wW6twa/NDWpg8j+fPP4LRiRE0ujqkpsIQZO/0yyrGhTOT 6KveVOH6DU3MQooFHTtyrqUkkfUfxvZGI5Ex7YgGgkDBYLgfp5NnMJ2cNGaEF7OSwmzz9cka8SHw YP+F1+XTJCp/VRU+2fN7YJGC78MiJzcWK/f0yrFEBB6HXxuFn8nchUn1xw2LMZaPVRuKHpALhYZK zUVI4Es9f64Yezo1gpPz+3F+sl9j9ILWBtgiIYQjUUw730EcuxD0UGLVJ4LmSM1ptAR74XQa0YJy NZsdC8kZQ3ugYozB6qptUofhBqFVZRG1zdur9utLqq8tgzEff7DYafsYIYjlf0Erzr6Ygs1Etwwc lZQiGsq9Uy/p2plHMf8g7YWtAYwUln+agSKlkRTnjyOp7TabRNRV08nnFIpy3jqnKbN/xOFQ0cpQ aiwWjKGncMuwkOZvD1jrEIp3YWX9Jhxd+AB9gRXI2ykBOonwwkRpOg9ZqXmsrt2GSCqMD6ff0gaR 4ECpr5c5AvMOujh22PHG1rlbsXfqRYRqmhAN9KA/uh9zg1O6cBa12vw9mE9Oqq7QGliJsei78Af9 gufoDfj+tKws5nH8GWVsqLtEqzaTmER7agsWbfNi8TIc0Zg4NiK5anVj90z8Wgga3eYr478GquLY 1LtFtYoXJ39udPBZUtgz9RjW1F6KozPvqqWX3LFz8ePwu6vQ3t6JzYvX4M3wLsTzEQ2p7Kxarap+ osm4/lgmYojIWQYwl5rAicj7esSGyB4LWIYEv1qN82kkc1E4LA4VTenpCB0bCialPoYKC05y43R2 rFxANaylU52JBC14r+gx2U+fry/ikXN/g60dl+L5s79QHpZdyOt+ZOas6K5tQ3vsUhwIv4XpgV/B ZfGir34NVlZvQTKblCW9cH5fwFEtY8bPYvjMLkWNVnA6cFnN9Wp7vWhblN6CoSY3VeUSXvr/pYOV evLn+NVsouNBwIYqI2oVpgI7SaHpGZyLHlOYSxCIeQvzZaJ33DS8n8wnpxLDOL34EfZOvoy2wAoB KzPxMbUQcLNQ/caUPi2wZqX6j0X1Jau0i40NZ6+uCiAVCOPV5I+xrulKjMRPqTnqivpb8Or4k7ix 4UEtTO6447P7leAxaSPj1RhnYMTp7Mu4qvF2LUpyoK5suF2hEd2zNevCzNg8Qq4mg7GJYqljrCjR ZvZeFzNW5DIFZLJZKcvrYV3cPKLZIqS0q9rsyGCL72bEnTMIuGrhQ15qeTyXntB6fDTNMcRF1Hlb VMkfnDuHfvs5zGQn4XFR5Y9JmGFNRhbPoMnFjTeGbDaFIzPvCN2awXmciexH0FqtEQikxfTV3Ijn +n+AS0LXybKykPnJlj/ET4/9rboS90+/hnB2XENagtWXCPblQuZjZ/FxX/glyaPy+tZWXyrPwoSd FPILVxqBAlrhy+tvElOZ6CDhy93jvzA0xVg6KO2nSG4Gjf4WhQh39X1GhcJGRzcm0udxbOIQ0rkw bH47bJZ2NBZ6YUt4MYcofnLy71HwJ+D1uETlYL8M4VEdRaMlmWELUSN+Fou2b4dfQMFUmqhsVCod /JaUENMzL/3i4mkBDKtIeXHavMvaZuPRRYNPV8qlCCJRwIP/zA9hrWw2M2UweOfflaLKtR0PiOVA uj9fdGT6Hbwz/ry87yWNN5aRLv7jwQ1D5LHck0Piq/KrIuwcWby+YQtenRrAFR3XYS49o1FfzEWI 2jBEYFMQk9caXzOcFqcsiKFWbiT1S9drcGGWX78F8UQC6RTwof1ttATaJEHJCik9AS0932M8ew4z mVFRsuOpJAL+pdmHS7fcQKOU1KaLSAcXEC1Moz5fr/fkIJo7234H74Z3483Rp+HIc4SBUzylL6/8 bzgePIih4RFYqou4q+1LxrCWfA52uwPfOvIV3Nv2FdzS8pA8Juex1zla8eGhQ8g57bAH8moNZi5B bxQrRDUKjMkdkS8Ww4YSx3Utfb5tQJJ6syFtDCbi3z/9F/Jw9BqEfjfXXmU0L5XCU6IyZnW78uD5 n507grftz5c7DNVfY3Pg3ZndyvlWBDfqPSiczaIez3FF8DYcnd8Hry2MldWbVDHne7G5iP0TQ9kz SNniCMVbYHUVsbPrPqxt3I63x57D4fg+RMIzGjZE5JCfeypySBuEzWNqarP4JN5QY794Gq95mJOH LzyWNpLxDdUxnzr3PZFHKw96CK47rkNGGTsabl9CI0uehlR5/mOdjAc9HHly/XNH0NWwGm6nH2vr DTq8NoPVikw6JTie0YBJmTI8SV4hFg0+Q05y0uzkNu0e+wnqvW3SJyWnnlaLLFFaKr6Y+kk8TsQ+ RDgzocIdITaGCkbDFakiYfxmIqapryzWmRfPE6IbJgS5qnoT7uv+iq6NsCwbjXjhDEU4emAxt6Bx 1Fb7by/huJxuRBYXkKuieAFjZsPCkOlKryBJIYkdTEs04YnB7yosabdtQTwZL/cumEN6rEWLeF69 gWN6f4Y9Hd61mPLNIMuBLrYiBtInSnKhEEIXtIeU4DP/6Q6uxWxyFhNz/QhnDJ5XNBfRBmFdgvkZ 7xFZC0oOlXMYSaeRYLYsq12Y64f390z8iGZckG9kszok29PuXynr+cjA3yoc5eg3PjfWsFj30RwR e1Df8/eaIZIckCYtz4fqmPRa22qux/6p13BycT8WspOa8EU2cHuwD01VbAPowfnIMeUAL0/8Urpa DJsMlvOHuLL2VhUwiX5V6jlz2TGcZHv2suNjsGDmlTd2PqC1IDIjBSmYVBeMfh+Gry+M/kz3T9SS f+mwGOP6qE/ADUfjl04lDGE/h0e/dyj3MgAmNoKpcGkx6kAmk8AsiNvpLrOFBA7Ov6FdSFqH2VV4 bdO9ywa2n0+chMvtxuOD/1SCbLN6CHxQPIRI2Vyq3GqoPDWToqeQKKaxo/EuPDfxCo5E3jHQo1xC 4mqcTbI6SHzbgWLKCrvLikQqyXkDFQvFJEUWjLpIdgGTyTGs9F6OTCYLq8+AWynSwBvMMA65KUli anIV6zAsXsZiYO6veXqlQhkbnng+K6s3YyI+qEdLxi1RvH2Tr+Ge+m8iUjTJCkWsrtoqbVw2A50I 78dUfEji3XlLHul8HLAWUOdrRM6aUhtrJDNjWLrSgCLWcaS6mBpXskvaPxE4U6HywoNkScbml9fd rJCJC47h1hszz6HZ1YHPb/wPgl85LYu6WT84/T8USrA+wFCTRD8+Cw4WYsjDug03Dz0Pvdlo8izO Jj7EbY2fFwmSuQw1CfbN/AYjEUPjjMqPvGbmQfev/D2NJuB8Ft6vN6af0XNkHsSwbFlHKkMUopEX kZMusANUZ8kYE6Yq9o3RCyM2MTdOUcwKMgaYc5C6z5qHevYr+FWcI8LRdTwfopiaWOUychtuNgqG yFOQRkMPboZXFYUjRhXifVltsLN/2RRGpmWg+sU/x1Ph785EDmF1cItcnyrTNp/wZx4cr8bCEXF0 ep94YVGWbnBhEONjk6pcNvvJuk0oAXuo949waPZt3NDyCTXY70k9I+v6dvhZfBBxYy41LViRlqg3 uE7hDHucWfUP+ybhyroQTRdVSOLnJbJxTS+lJSX1hBaSm5TKfzw0TddpQbXn4gYcDq2hrKZEH2A1 4MKsIWLBzz83f1Cunorq99X9LsZzw4KI2bhFq+5BFQbnBxHNGC2svCdMIMkalvGwOhTeMBRSk5jb 4HRxI9Li0eCo3bVE1TEVPahBpnblUrxPuJOLm+gb34ebh0IGbZ4ebApdKSlRhoK8Dt6TY/PvKzxi dEDry/eW4AGsuLT+Brw/84qGtXYEVuG14ScwHh/EzS2fUitwg6tVz4x5V6oQ04KciFGQwqlpyPTW zYEefKbuPwoWfXf+JanSsO2AHpQW3By3bC58ttByHBvDl4uOZc+kEj427scnOn9P18SWZuYcB8Oc DWMUaDnKgMXaem8rhqInNcqPxo+bIcsmP7IcrAFks2kjGbcZ477L2JqYFwYUTEo/2czpTBx2Yse/ 0/dn+KfTf6653+S7mHudCfa5xaO6ID6U+WwYd/V+WSoh/ZFjhngakQ4v9bAsEjSj0MFg4rShSGJl 554dHU09aLI1YXjyLM7GDhu739+nsILvQUs7nDoHlyOI1fYdSHumcFPrJzTzm2EFE6911ZeJn0VL S2Agkp5HV8iPwfFFJZaM769ouEULjVBtOpVU/YAic7WuZt1UWtPJ1CACRUKZy7VfyYqlR+TrCOcy jGGjDSHCfK4gThOrN6wlEOoliqNY3EoOVAJ+J+kStyAxNyfqvSkzarCbC8gWCihYCygm7Uhk4gjV 1CvPY3+3o+DDqdmjWFzIIJKaQaDWg8U4uyQZ+tnQ6OjDQOIU0pYMwvlJzC+EhdSQ3i/quupKBSnL k5vFxcBzYtjFQhrFAXl/eN8oYkGPx68nFw8IJqYH60lvxOqqLep/YajLn/upRC/JoEZRTrSx7Fac nT2My+tuUR/OR5Nv6VmzIr0ytAVed1DhJiODkegZvDL1uKBZqrywIMyQ5p6OryKnz3y7AAAgAElE QVQ8ZawdHjS2zH05l9FYr0Yua84/NCZscWEbqBpzYhajCY8zr6J4Ohf5gdk3cHnrrZrDMlI4KwGO 7qp1MjLmpnCU5rAvwbrMO0o1OZtDm0o9RPmsiJaS/SlSFC2bwL7wHsG0dMEmhk/+DWFFJYg5K14f eVJQL9EF7mYqmHNxMd4OR8fl2tzw4LLQTXhn+nkkCgsYm55AS3Adejzr8ZlVf4AnB78rC79r9Gfq MQj463BT43bsPfEWaoJ1GMKgHqop6ckTppQNQxIWz/igr2y5BWfGzsDnDGJj9VVo9rWXLiynG8B2 3UIuK20m0kmOLrwHlyWITC4BuzOkjcbX04JzwdCj0Z0T7ZISuyOgB1fvb0IiNs9pBeJhsQe/0dmu EIt4vIHKFRCOzqCYm0YNKH1akFtv8tYopJKur9WCTDqLgcFBfKnzW5iPzMGSdcIba8LQ2Ki8BZN3 p9Wvr7VBD0aGR1FX1YAY5tHp7jGU0otFhY1E3o7NvY8aR6OAAaJjvFeEuwl3UhaInpMUdcmP5hPy vkTdSLEwRsP5jWlOSOieHY28L4s/kRiQAYlm5wV79vjXakMRueyr3wq/fUA5ESMJU9yPYe/mwJUy UG+MPotrOx/QImRzFz0NvSW90prgNuRyxWUbZGfbfXh28Du4reVzJV5VabSDlWLkTvXGiGBZAsAI inACGVsDCAOzdYLhHg2o2gUKwM7Ge9Wj//bELoWW3Fhe8u/8fRrUo8FBpY1h5h16f/YyMRQjwZIo J9UnRqmflJqQxWdSRuPKG84aCAXMTH4T5Xao3sEknLkHkyavvdaYQFsqdNHaM+Z/Pfek2l5Zrh9O D2BzIYJGey9em34azVU9uL71Qam5H5vdhwOTr+DDqXfgyLtRG25He107cr4M2n0r1Xwvrd6cUR+g x6H1YJXY4QN84z14ZfQxNAWM5I0PhfPT26tW4uTcAd2YhXwYTb5OZBJ5+HKNCFpr8cr0Exq9RmPA 5PCqtru08Bg6cPEwxApPzMFR8CLor0e8anIZe7gruAZray/FB1OvqG+DG2VsfAK2gF33K4UoHLBj PNavbkDmB7yvxxYPYq1rO3L5HJx2B2Kuac1gL+QKWNGwDl6nR7JA9ForW2JoaWrBk8PfxUx8BN3e tdg787I2AKfm3rXidzW621a0I5KdwXxqRt6NHoFGi96LdQOGRgw3KbbdHVitDUO6y0M9n9XGeX7i Z9g98FNcWnuDQsL9M6+o2Hs88oHQwc01V0uIejQbxsmBD2ErWGjCNAeGyT83jsbdeToUuhHperr/ e6ix1Wk678ziKKYzo2JWHPG9h3Q2hblZ3mcXbEUHur0r0BpcgUcG/gY76u8QoVAqmaX5HoxKCLiY fNxMMSuNMT6PZnuHAAU+x0fO/jUOz76DVDGBlmC3+nXYzEajSW/LEJkR0f7JPXio549VJLTZHGIU sMuTYRY/z2X3LXGxKP3S6G6Wl3hz8hlRI5rc7UIO2Gf9t8f/RMJkpMIXrUWsDm3DSt9GDMfPKTZl xdFgyzpkwThIhpaK4ml8LyqS9Navw4bezWjy3o257BgOTr+OR0/+tWJ+SnhKx9YSQjDTBjhzCHhq cC5BNMmCWn8LLg3eolhTSVh2EQ2ZDmH96Xgedc0eXN/5Z+hPH9JG5bZvQjcuabhBSeO5SKlrrwBw ggEr3s01bRijqn1mQXUPGgfGrrQqTrh0EzlSgX8TX8xIa7bF0arN9sMz39IG2NRwtWpCDc42PDv2 I+xovA2da1bjF0P/C9fjbixmwlLSYBK5qWFHOch2WX+A+7q+Wo63qZZY3xhEXb4WffV95Q3IXKEp YNBO/G6fZG1mbOMyROZYBp7/+OJ5hXSMSthExnyM/z28eEbzRlgzMjcM/3Y+M6tFzfD5jYmnJT53 Y9ensKv/RzIQtK4NrjY9/7WhS1R3YbNUf/QEKFPb4ujB4PwJ0YrYJrE+dLm4atQPM1Nwjr9jvaHB 2qJ+/SvqboXb4cWusYdxX8fXyKhDP84q5Mlms1jZtgpenw+3934Rx8PvY+/CHo3FRqGA1sAKJFKL ZSKjYYiXiqmSX80Yz50HuxdPzxzQz4wQzRgr7XJ5EMiHREcZHjirXIRTfJhvsO/FDL3K97/EQ7Tz AfCGUdKFzUgc/PKJrm8qcSeHh9IzJNBRMKDOa+g7EeVp967En274R8XhL40+qpBEPdvRsBignN6z s+O+sg5uracB+0dewVj2pMZxUbGQdAWyQ0UbsHkRDi/g7NwxpObz8DZ5tevT2ThOzL4v60eUjBua MbeL0qiBIA5M7sHk3CicDdTMXa2LohUdi53Dock3RQfhOQxEj6HbthUTmX6Mnz2P+7d8TnNJjif2 S5GED4su+hPd/4dqIPe0fwWpVBaPzv8jEHYg4V1UqGSMQWCfewZnYicwaumXKNqRuX3qpSc6Fse8 whtW9fkASUQ087pckQ/GiBXMjjp6XBqoC+cCmmCJ8gdLVHUI9nkw9GOexPfuDazDDc2fkN5Vu6sX 70/sUbjLmYm13mZsbrxGaNVw9DQODr2H4eh5eJxuNLpbcXv75/HK2ONCBmm1Wz3deHb4YdzT8WWh YB2+vpIIxmoVhc+nTmEoclKMCYalz408rLHatO70Hqxc9wU26neWlBVdwZWiGzUECQ5A82DeGn0a V9TfWaJ3LMmA8rq5ljhej/+4QBmGj0TP4kz+EMLxMWlnsTpvMBPKqhg6uF4bfe2YS04qrFXfifhX eQOVMmsu2XkJ2j0/9hN0BlbiqvZ7SoCBiV5Rsb5CWZHzMFL5qCaFEs3gqGOq4rHIw7iRbokx9vrQ pUKBiEA90Pl10RS445iIchMxJKty1+KWns/KqrD344PJVzWFyJmqwkbPtcj747ip49PwOLzS/+UM DkKxDNtcNhdGLAPIemKYd46gx3EVjsXfhw0OhWnrg5dKxua6pvsqOh4tGJ4/D+qNUYFjXeiSspU5 mzymRcRcie6fliONGHKpDNx+j2oeLHQxdiarlhDghaJ5vGk+jxc9Deuwe+oHhuQPlVBKmlCU43xv 7EUJTtS721Bf7ELIcVpwJGNpzSWx2HF64UPc1v45cYd2Nt9b0bdtKU2gyskIVeKVlR2dRA8HF0+q gMuklOADz4VNaE+OPWcghiU9YRbTmC/wszg/5N2R50W1afWvgNcaxCr/NvgKIYwunsOvznxXxM/m QK8Wo9PiF4BCdoMxnjsi48fPZwRxV99XsHfsRVRV1SjK2NyzQ6zkqxrv1L389eA/yLPc2fslzMRG 8VrsCdT5WwWt0gBtbbgez5z/vtaEHeasci7MLF7s/4nGnwVdNfC4AupAZdK/vvZy/ePBHIwEwgNT r4oeVMwXhAyyNeL1yadxa8/n8e7Y8+isu7X09JaUZUw2MKMipg2Es58f/ymuLN5lkDbVzutQm8IL 53+sITqMbOzXNz9A9X2FSxRNJqzKxfPB1JvYHLgG6XQGc3PzOD1zFHaLC4WsFcc8H2AyPaSbS/fF G8LmfO72w9Nv4/TMQVmdWmcTXEEXvDVV8OV8iBQ5Qcosjjm0KJh8MyygFbs68AAOpt9AqmDowzJs Y1jDzdplDxqtl2YyRSKc1QqXyyl5Ica3uhmFJZo0r4nhRTHBUc8hWIspWKwuxOMJhILNWlRM2hgy keBozOlewn5zuQLCs7Oozs6XBqs0qPWUK7wqW48Wf7emKPHmc0zadGEMiVwCX+v8vyS2baq/cOIs rSfDBLN/27RQBAQYJzMU/cP375DF45DTyq4/ikezmEZPSFSPwthckAwfNtbuwJrAVglG09oz/ufm nEmOI+/MYWfzPZJI5UbMwI4z6f0YnRtEj3cTnBkn1niugX2mGqF8F1746AlYa9J4YexnmI2GYS96 VZW+pvFuPD/6k3L7A72ySf3gBV3TcJc2FZ8PN8z2+uvxZuIpfGLlN2GzObVBTKiWhvHZwZ9gu41e xDjIjXMWnHio+4+MAiPSCr3fH96Ng3NvYn3tZajztqp1mQos/EfonTw35pn9mVO4v+8bqPO2IVW7 iP0zr2oTVNi5skQRPfvOpnsNHS1HQBCwAfkaVHuCH/RCnO0ym54wWm6JYhEj5/DMB7p+Tz294wuj 8AeqUF9oRWfDGjRlOpRYbqzfgdnYHG5a9ZA+m7I7BydfxauDjwnReqDzG+qwY9JEFOGtqV04MnkA Nzd/DguReRxd2KtCDpNDqjN+deVfCOUguJZK5XBsbj+i6TBOLX6oxPKaxnt0hVwwlaJmpUBR4muE mZmMmi3BVBXkfxPDZzJHD8EFRniwmLWj27NB9A/ChKwy0yrvC78s1MTMFbiQfX43uro60BPqxKkB Qzmdn0E0hqxW5i3ssSDMyVDiktBNeHf2eU1ZGkucU2sAX8vNarJaDeXAkv4xNW7tXoEdPJc/3/hd navb7sE69jmUHApFGqiKTrhYIZ7FAneeg1dT4pw90f9deWLmJjQq7IvRcFM1ElXr/pLn1dTYiR7H LTjnOSaode/waxjPnRYkTjSoqrYafk8L1jRuxcxQBNO5s+ifPSkCIBEghrlUh2GuQhFAbhSG4T5b la6HDAZjlMEkQp5GbYxMJqXrpWXmLHW3w2NoESsHNrwljcPVTbeUw0tSXGhg21zd2gTX1t2DlyZ/ ienIsMZKVHnqJBfbW7UBV7bcXtJYNo61zVdiIjsq70A0i2EivYWpl8BiLcEn1lHUjmsjvaWIIuHe YsFID5z1ylu5J+xlFXZAGLqKSUWOqmrB2eGTGE0M4/XEMwhZOuEebsGOngfw5tTj2H3+Z4JFyQNi uHVn2x2KR8mWZDsn/0frGh7632iv6QKnrIWcAUF21zbfp+RPLazZsJATMl2ZMFn8GcwMTeGqrluw KrhV1AbSIyiBysTc3BhcJIwZG6obsKphG14Z+jUOhF83xCByiwoFZ5Kjyn/Ic+KG5EKlFExfu5Gr cMFr0ZMha3FqEA076TgC4dnhH2EhuaDWzalM2IBgbR69x3R6TEQ99oxJzysbEVJ0Xct9OLT4ptgI 3IC8ye9M7VIIwhDUjLfNnn0z3WCOwofDGJxeptyoVvq95HAsFo2B4GsIvTI8pRFggY+/Z6jL2Jr9 Ez6bqdJYVP2AeR7DMG5EY97KGbw4+lNMZoZxf9/v4c2hp/DVrv+MSGIBb0w/gbeHduH8wkm0B3oR 8tWhyluP69oewGxyXCOeB5OnBHdz/jnBg2SBIxyqS1KsNiGBHJdnNFQZa0G5WIYRgE1hLWfOLyni mEFlqT5RYLizlIsRSqYH3xbYqc5DVvS5bs7MfIR9o7vhdQZUw+Bw09U126Xiz88jvEsD/uLoo0jG E4gXIiLD9lsHcCz+ITq963A+0Y/W1iZRUthrPzBxQhvPJE2WBioYJ8IbyKEvanzKprG+bTvWDF6L 1Y3r8czJh3G2ajdCc6Qnu3Fz22dkFWmZsvmUqMgS68qTYuLUomGhj+27LACZ4s9Et6hQwv/u8q9V TwghPRVzON7AksBlq69Bl2+VdjgLfdOJEfT616t1s9xXoE0CJOYKGIqNIbwwi0AddXCNGYbx2ZeU rPLfyuAWwcLFvAVTi+OYGVnAqP9FSVSaB+sGFMimxalzNao5K5nK4HuHvoUVrVZkchnMZ6bEl7qp 5ZNqJGPhS004BUqhJvDIif8P4YUZDC2O49omzmy0KPlmOGl2QZi5hULEUjFMWkqkOJiU9mJRHYry OCjoeZBsSE/Fzc/FTiuddxSxe+jnBtzp7iyN3+4Ul4pkUG4WhjzssKOl5z2jEby/62sKiV6delKL SChYMY+g269Whc2Nl6MntErh3KbgNfgo8gYGI8fxzuguharV7nrcVfsV9FSvx+DiCbw39xtksgmF tzEswpF0YiMnGpeG5KjsV5ITZfFNLGQyREoiDsuBCWqqGWPnlo4lJRJjWKoLdZYW1NQY2gEs7jFv fmX8CTx55p+kWUZZJVJkNtZdhRW2SzQm/MzoCcy6B7CLxr3OUKscTzWiqnAbamwNyoUi6RmNyTMD bQ3xPBjeIx0q9uquq79CyefbJ17B8fAHSLqGcTy6Gxs3X4mWVA0WLTNwWluke8qJpub4AiZxpEG8 O71bFXmSGYkmkEXLD6PiB8UWfnTiW3J3rMzf03kl1lUZQmBmlZcqeYRvM0GSDS0ak0ZkhEkkNzAT YDMpZaIaxiQudd+FgictRXFDwM5ggtKqM6eqd3NEQjvCqSksxBZQ21aLl8afE3mPBVFWwCVUFhvA 5uAO9KendU6U3qkNNCKXANaEtuHG1geF3NCzSaTBVsA1TXcIjaNySiDgQ12+CQ3VdVKdXBrUUhkO L5fJMX9PuVVuOKJBhNuZR7CyL2apxSa4eq/9ZRVQaXQY4vTVblauQbFvsgUYIp+LHDYsn8WBrTXX SLH+sYF/EBOAQAxD3CPzeyXAlrfmpZe1KXhFWRqHKM9syqPej3enX0BbVReOx1ya+TEa7dc47yZX B07OHsCb408jaKtBtbsODYFOKTeyHfjXp76t5ixjnAZJgA7ROET9KJKzll6mbRDLzWucnrGRrKqz sbWYBFJGFpVyomW9UU2ZyimUpyEim4Kh9R+v/WvlyvRqRDOfO/N9LMaihmbbgh01tlasiO1Ae6gd jqINSf8c3p5+HrlCCvaiXbScy+tvLUcW9tFkP9pDq3CZ7zaNcD44/SreHn0Gi8kFeCj72PRJnIzv w9TMMBYL8/ISMfcC2h292iCM8clQ5QYjDMnQgrKd9C5/+sF9UvZjMrem7lL02ag1FVO8zer2qYVD mEyMqB+EEGEiE4Mj7sf2hhswF6FloygY1AzTjC4hXaR00wIRXWP+wMapvuKVsGQNwTRWhnmOjDNZ hORNbHS1K6ndRg6Xdx4TE+Oo9TQKrqbgAsl2fB2VSgbjp+TVdo89gngmBou9gM1dl+KVmZ/JGvN9 nhn7oUiEpDHsmXpc45DbqvqQSmTgzPtgKdrgcvswFj2HxXwEHlcV+SAXyd2Ud0nB4EcxJGFczzyw cjP1Lx7F++E9AjWYW0SxoNCO4g/pXBJJRwJD8ZOad0jvyYM0HsL3lH4lQZGfQaVK0k/YKcdcx++t QTQ1r+TfPOj9CZycinwoQ8aibCxP0Qyniq30lhx7wL8fSZ3DF7r/k8I5Cl68cO7HuK77Ewgo3CKA YlSrmQCzMs2RcmUVnApDQdj21tZPlxumuHYI/rDL8PnUj8sbyQC9TN024y04+YoGZU31pbi66S7Y SvR6ny2ADaLaXIaZ8Bw4zfGdyT04Ht+Hs5YPcLX9TtTl29BrW4edK+6AzWEMTeqdO4DDsb1YTM1q w9j5SewBCNiqpD10Xf19cuW0UCQyruzuRUOmCk+e+w66nOT5kFHrFA2FFOhu/1rJ+tPSs1hUieVz YTNB4gWzc4+XRTYsLS6Rq6ORfYLzyDq9o/3LWFe9A8+c/t+iZPxm9mc4nenTRvhM73/QgmBVlpuL yTfzHy4qok8r6nuRnZ0TGmGzOxU33tn0ZWyqu0q1Gb6OiziJODZ0b8VlTbfirfECtjTtVKysPmgu Kl+bRLQ3N12jWgtRId6L1roOXOW6W3F/Q6BDFp0hJZtyCEsaUpmAP5gD3Dn0xw/gV2cWlDTf0PZJ IXQ56tFWLPolrcpKdfbcxWqFEt8LlDorjX4JFm6ZeI+lBuRp6C2ZO7JJjUgSw1tqdZGoaMxzt+s+ S/LGXiVBCkpyXlfzIF6dfkcjtHmu9F4seDIX3F57rUiPlPWk4RhZPKvklRtElBeLIXbNMO7w3F7d 41QhgdHoWdWXHj/79+gKrFWfd8DD2ZFGy7Yh3sHruIAtWmqkMvMQ0zuYgMnSy4zNlcsXRI2azY3j 9vbfkbCDKaBxkQwR+5YsXty0/n44nU48M/od9NWsw4m5/TgzfgCvxn+Gnup1qHLVYUvDTlzWdLP+ jN7L3uFegYNFG+7t/Gr5QRdLsS8TPPLq63ytIqOx3sFR0dR0ZXGIQ1PubPviRdN9zIMMS9LohmJn EfLUq3g4m51EjadJ3Py7Gr+CDaGrRfkgguV0cq6CDXXVdai2Xw5C0IRI+fC4KcV9cvqFRg3Hzmnz cOFc1Xk3tjluwOHw21o4bI2djA/JlfPB8W99Vpd6Xc5GDmF93eWypuTvvLf4ojY7vY9GK5eE0mhp +TP2vrA4+crALxXjm8/16OxeQYmVc+N5vDDxcxXvOCbafKCpVOxjlCrNp27IJZFIqQnDar010DrD VHKWYZ2ui3kDWQr01vzsvXN7JHpNoYbp9Lg+g2ADFzKH2fB4bfJp0X84q53V88PJ92SpadXJTmAY dk3jvVr07Jt5bOCfpNEsj+HpUI0h7wQG5o8p5GExlEkzw9x2b59mmhA0YDj1zNiPFBZ+puePFQ7t m34Zf3Xk97Gu9nJY6TxtVjR621Vzqqz5cD3tGv2xvFflquZz4KiNFyZ/ro7P7cGr5ZHY4rxn8nH0 VK3F1TV3lO+T+ZZlKL1krKuqApifj7AwjxwF04ucPBBFMpGA08rW4Z1YXb0Vk6kR7D77Y0TzEXRU rUZ7oA92woyM+bhjKRZHmgUTbaIFbJRiWMDZDV9d/z+10KgCPrhwUskgWbPlxHLZpRE9yRijwxxe NAe7sLn+KtUZLqm/FTe2PqRELx5Pw8VZ6BlOLKVwgBUrmtahvroeL53/GaLDRF6m8dzww1JlD1ir BB1SqKHF3VMa3TaO2cSEsPQ7Wj6n+JMqfdtrduKdqRfFTq32dqLaXifKB60q1RIf6/8HoVA8eA+o B2VeC+NwJqhcNBJaLlHlGd4RLaIXJYTNvpjK8ITHQi5cKvqVjVf5MCrrJSJe5StK/f01zsZycmoO reRhaJZ5lGNQOpQFLOYr7H5byEfgIgJXWMTTw98XoZMQKblkFJNgsZKL/KNZ9uEYUDWLawkNPkop 74uVeuQ7/RztHcRne/9EaNdA7AT2hl/DvSu/jjeGnxLES2NBXtZHx97VuLZnhn+gEJr5YU/tBhyd fg+bAleoVMAa1j3dX8WWhmsQTy2Ke0cNglNF6u1iWYh1VeOnK0QYmIxb4fNV63mzkPdS/hEpzJyN vY9TsUPY2XR3eTR0SSioZJAuXosOhwP1DbVlI+VOO+ALuFFVCMhAEAkk56zdswLtrStUkG6wNmN0 9jSjEeOPHh/8RzVMsUmK2Lnp6vg/yaZkRdpWZZoJsmjlVhfGE0NlFT4+UFYqOWpsPHUeiUICzoIb AVTj4OTruKL5dtQ6W+EsVCGbLchNmtPHDQPA/hKvUJs6TzNuaX7IkASy2DXEkWdAikcOVqkQsh+C c0O6cmtl1V4Y+ZncN8lz9C7TSaMpqVDMGQJmUc7SG8LN3Z/RpCZCt7R8JIOUN7rFgoVIFHUhjnAw oEdaQ1KqV1dvU1JPYIPJP+8PvQxjfD4XanZZ8rPyTBzAY3oQHmyxNTvmzHtuPlyulWjFZF8T5Vry NRZtVpL1KIah3gYK9GWjml3P/IJQZxAhLdbHB7+jEW5stSV5j2EtYWYaLIaMHDxaSNlxJn9Us1nI 2CY1/NDsG3oNz52f57C6hJ4RtiUKxloL+4GYb/AeM3pgss/Q7+XRXyp/IuTM6cNUn2e+9o2Wv5TO ryUPSRRxkM3SzPmlg8RBn4ek2GK5JyOdiotTJa+RjmDX2I/lNR7o+sYy1Ruja3bpni6JrS/twsrv ub5ZHGbk01e1adlrDEg6p1oNG8cE87JQtrPlbnF2DJ58xQMyn2Dpa42jXjL6DHcYx5IXxKLZobk3 ES1EVNPQDchbsK36Gi1AVi55cbRe6mjTxFwDpl3Ww180hp2MZ8ckbUMFP2L9msm3+JHkf76w4k9F gTEvmES5kcx5uWN2ulFgmq213Bhs9T05ehwurxPtNR06Z1reSCSGqmKzQpdkMYJzscN4ffIZcb/o OdlD78v7NBKBHsJhd2MkeRb/cPLPSqgJGcA+hQvn5o7CZTF6LbgQ2ezPfIkJMpN9Jn6cY3J0/n1c Un/dP9NTx56IpDrYypNbL7CDlF6iYWLPBotc56JHlR+srN0ikYWB1BmcjB1UcZCNXGww46x4EhJJ vKSwN3Mc1kroNaqnV2PIeww17lrVM3jfWZeieB2RL4Z8yVwCz449rDFs/PmB8GtqkOMzpYfisyS0 mshF1DPUVVgn79xS243rmx+UVnLAFUIiHin3fFe6DlM0jp2ghxbeAcKGjCnhYML1VBshkZAweJW7 BslkTMwDc3NUjlqo3CQXctouPOjdWM9iznThwb/jhmdYr73BUII1CU1kdVW4KBOhFCffYRC5+PCt buUmhHQpCsBcgqJrRLBmkxO4vukBJW69tetV1tdkU4YxVp8wdIbYDgdnXJc0tiwW5DIGQ5MHiX8T iVPKByovkZ6LnukHZ/6nMXsvF0G6kBC9+uauz6K7eh3enXzBsO4cjIMCqlz1yNoTCHp8ODt7HAPT /dp4KIYQtSYxHT2GWm8jWl19sOTtsBQd6G3twanJY3C7vLiz53fxm+FfIJqeFyrSV3+bFh9JjYRW Scprc/cKvub3d7d/Ga9PPWVAsMGNunZ6LYYl/FqKpj5Wy9YgyVEs7+O10VhL4sMjykYvvZCZ09Qm vyMksudUdgxufy9ub/0cdg1zZHJANQ6OfWbIx3HOrPHQGHJyWHNzMwJeCLpWUlzMiVlMj/10KWya T09jRd0mhdTSmGIbAJG0bFjhHX9PNLLZcznen3sF86kp3N7+BVFhfjXwbWOmTImQWcl+uPCgt/AX /er9KB82IJVKweaw4nTskMiT9NYsTLJn6ZbWz3zsJrl44tTFjb5ch+eTJ40NUtGuu7TWgoacFTcI C3G8mbQsvIGV1U3RA+xWDC2eVnXZVyQ+3Sw3/P2z31LvCOeDrw5uE1pFlQ8KYRvFrDn1HDAcoNtl UYaujcqFLww+rMKOGaJQG3UhO6O2TsbpZKASqVIjvdWBVG5RUvjk4JC6QVVyTtkAACAASURBVHo6 hQfYJ824+NXJJzGXmMB/Wv8P2kgvj/1S4aIav1xR7Oi8EY+f/h5ub/kiTscOSlPWkU6gyb4CHo8L Q3GOiXNomhNda7I2Lo/QUtOAxmS9LCbBADKWGVczEWXCTHo/P4OUkoqVrvPig6KH4jWaXyvXh/HQ SgMrS3ULLsBoafPHMlFkikmDuVsgROrCWLJfC4Qolcs2jWwhiVbvCrw9+hIcXrsKnbtGfiJoliEg 34ezCZlfcvPyeXDQ6UuJxzAZG8Zs/rxGwjHJJj2Ff3NX+xeFOpKT9PrkM1hRtQlvjz6L7bXXiwpP xIzekFoGnClDY0DY1+MMYCE1g5C7Ts9EDUm2Al4ZeQyT0UEZlMZAF1YHjFmJ5UVGiw2H0FARN5lJ F4vI5rKgHMKHkbckjMea1qe6/0+8Mv64PvOYajkXiFyURzmYCbr5Gcs3DflqFMKo97SVx1ZXHtWu 2rLGsfpBqhxVODz/9rKH7PYEtGj3jrykWRiNvk6MRs/h2PQH6KveKIFgyvbQVTFp4gcyRHhl5glj uo+7Gbd2f04Lj4thg/0qeJ1+fHbdH2oRkClqjDzOKOndHLhCjTrcfPJQrjq0urpUdORN+cM1f4Xz 8RMGfSFXUAg1kRqAQ+OcioJdP5h5VbnHeHxIaiN80LXVHC9nh9/nRXWVH76CG26vH+GwHUGfx5iJ YmFcGtS5mDeVMSpvaMhRL+vKxJiLiAeLUgx1mLswXyI6RA+8b/oljZZbUbNJm5R/z+48hnVz6UkV UWnVWQuaCs9oGEysOCdC4fjsJF7P78L8TBSh6mrMzy6gKhDSjPlCmqja9epNIbx9d9cf6dpW9HQj PL2AXNyPlqoW5OMFtNg2YjI3BkdbEtHCHMaj57F35jcK/3hvWCfxWquQdafwhb4/FfWd+Qrnq5N1 vNv+C90H9vLMpidF+GT+QUoRq/P0DpKWjZ3WczUm/M5iQ/UOnJk9iGmM4tjg+wrXfM6AKvwU/qYx eX3ySXR6lg8qNVNs8bak92ssbIu1iNdmnsLh2ffUs98XXCconFOzHhv4R7w++ax6VG5oeVDs6o8/ LB/7E3pJ1pBY4CSIQxqLmUMrxLI4VB7gplQOUutsRDQTWVatpLvbO7gbm5t2Yj42iSOzbyFnyaMv tAnray6Xsp3UBItF9FavRzy9qMmtLFxp+qrFgoMzb2M0ch6XtOzE0akDIvd5rOQS2QzFibwd1Z4Q xqNjeO7cj/HNtX8Lt8WHt+Z+rb4JkhWZFxGSZZdY+fwshsAExahN98pWy0vrrlduQKTK5DPR4h6e e0+KIHtndss9b/PeIHAhllkU+sJ4k16Pfdfh1JhuGpPZp0e+r8/bar8eV7XepaIbj87qNRjLDEpS v87fokSPRTW+diwzhFs6P4tMzqgiL9mcouYG0jAQsXpn5C24/S6kUmksLCzCWfDBEg7C7y9gOjqJ uXgYnhqX+E8LEzFMZ4YRyc+ALAz7vBXRcBINiRBmI2GcWHwfvnQAay07MWsfhC/ahK1N27Gu7jJc 2nizFgCle96b3I0XR38B92IzBvAmilaSGwP6PZEv5nMS7XOEtBkWstOamsU87IOZV2Th6UF4b1m5 J4xPSJtU8+7gGrw29Gv16LNwyPd5cpi6zH16Nsw/K2dXlm06RyxkY9g79bJADFFSbFap1tOAUhqK yvIMG82DOlhr6i8VXMvN8sW+P1tGWLzQY5Th34pJBdxsJLBSRP3Cg56cxkHfm39BT2A+SNVBCnks FhZUWHp3bpcU0GlJOYvjrw58Ez2BNaoL8PVvjT4nQeKbmj+pnOAX/X+DlR2bcG3jZ3AifADvzD6G Xv8W3Nj5KaQzWemlKjnLZOF2OVFrP4M3pn4FtzVQ7kwjff7D8dcwkR+S6yfFxBQpoAXjz0hgfGL4 e5INZXK9Z/pxg8Rozga0WKT+QSfzyVV/oN91125Ad9VahXBS/rPaRYZkPFoeElS6sbTWDD3pEd12 fwndI03aJyyeSB5ddLW3Hs+d+aE+azIxiOcHHpaXU6W7kMJo/CzWSGHRYAPbbS6EGgMIuquQSS5g RVMfwkNjmHOdxTX+T6K2q0a5Wi6Xw0ex13BZ321qw/15//9SP3lkYRZbGq/RImYx0+6k6r0LjuoM 1rg24c5tX8Gvz/8dhjh4NDNlDMOxAA2+dlzadSNy3XmMHz8qjyY2M+WZ4qexIXS5FO6l5li0ot7X LlkjagxwAZLuT+/PZ3Nz26dwfG4/Xhj5OabTI1id2q7PYe2KMkQ0bkT82M++LKmq2CAmF+vqurvw 4fyrGEqe1s9F2/e0SaGFxU32BDEMSuVTeGniUWxt2AlLroCPSt6FEDYZHP/sYQIfJQ+hEIxj79gm nRwwlBornA3XoEmT0QbhHxGDptQ+USMuQLnPYlKV2JC73iDdwakc4/ziMY0cJlwoVXKHVZCvei9K au9S28gz1GoUxsyEutwHQX4eT9DthMNuQ3t1N9ZUX4ZCroicNY9ULoXNddfAWXRpCAopDkz4zNl5 ZIzy+1C+SYuQBQ3KC/UvHCsJwRloCFGW6dioZO0JUbLCS2t4dce9WIhPCYVjPMu6AD0SFwbBB8HN Vo+q780uI7Qcmj+Bbt8aJei7Bn+M+9u+Lk/KhqKR6DmFdIzJ2dS0e+JRfHXFf0fQTkXyovordjTc pmSZCKHiZE54KAKv/v+FfQd4XOWZ9ZkqzUijGUmj3uUmd2xjU2xsh46BEEgoIQkkIYFdsruQ3U02 /2b3SWGTzW4qkEpIIIGATTUmGGPABhswGPcuy+plNCqjLs1o2v+cc+eORpDn/+8+G2xZGt373e97 y3nPe95ASJu7uKgQA+Fp1JZVpw8oAQeMJ5GTTZEwi4iGbIgyBBfcaY0wfr8xq/BlhYyxeFiHfnnh OsG77BDd3PIQ5roW47mTv8bc3FXYWHW9RBd4MaRlgl6dswBzyCyARTSdsCOMNzueVa2gLnexNs17 AzsMoxjYJjiWoWZyPClom+RScvQ47pv7xpEqNpp9MSw2v9//moAO05LTaDF8DUY6sbZkk76PVJdr K+/AwcHdRvGUtQyrUz3rX1jwTRwN7sGunudx78IfCH3b0vIQFvpWfaxo+7FDMuuc8jMdCEb6PlbE NcQQkzMHhN/M+sMa/2UKUUw3+ELH70QXeaNtszhAppQkNZDo5ogksKK+a+BFUQzeCb6iO+kabsee +F/xrvU1kcaiE1Hk5pWoH4Qnlx5kKhzWAhHNGhsdxjrLzaJDxy0xTMcn0TxwGvspNNd0GGsWrlWP BLF3IlR02SsL1+PkwD7cVvdPeCXwpDa0316MJb4L04/aNHoEg9agpjPRVbN7khXmc+GT+h03VH0J r3VvwVz2n7OjzGKXdCcrz+zzILxsSmfSaFAwgTR69kUcGNytSbjsy673L5ZHMy8l7hSrS3l9VreN KnkGopJCX4xJu9S9mnH/ppENxznb3RgAxIuI4286v40Li6/WaGoaKBZ2TZSIm4gQ85HQHhmuU0P7 9fnUHqNhqHTXIxm3omu8GXV5mzLu1ybQhAaEEkwMFylHdEX9ZzXBibUXKokw/wgnJjAvd5kan5gv Mm/MyfIKyMlClg4dW5jfDDyvxid6Xf0Oqx3X1NwhEYvgRO8sMMvpzEJelqFSyRyErG0awIKsMuUy 9HAc6XxV1e3Y2vw7rC68VAeI/e48VKzd7ep5ASv8l6CNg1a1dhOauEU0kwXFZfkXz9r4TNSP9O9V EdJ0Eua/EYgxoeR04Mbw5a3erbISfJn8BsZh4j85CtPDJPnyaSVIEKNAGq9F/gtQ42lQAxRf0lh4 FIPRfhQkK1For1OYNd1/BpWjJ6RuSJYsw6uc3ByxXmn1wlNhjIyMwGG3Y9Qyine63oTD7oM3zliX VXuXvBCTYQpbszjJ5IwW0nRLDHmI35teiiEPNwO/zqoxoVZaS84oz7GQrWlJ493mRUoH6zof4wql CqcMRVnjIP+M4QR5TaRIkLj5UsejGkKT5yqEPSsbObleNSPx+zN5VpmbQ8Q8a3ba9WdeTGwzYUui V2wdJiFzX98OKb6QZctDyxBzZcEGhYpkEDC0o04YPTjzLiadL7Q/grHICKbjMRTlzDAAWBfpneqU AN36shuE5JG1HAoHVUz7oH+niqo0Elwv3gP7ZfhO2L4w378CMVsYl5Z+RjUV9rU3j5/AwvzzJY+k xjarTeOliywVhhpiak2NHpIM/V6xB4xEncAJP69p/DhurL8Hzzf9GqPRQbUF03s+3/ZbgQhsPRiM 9+HVwNNiLfeOtat3ncAESZO7As9rfAQRvI1ln9JB4T5dXrgWXSNNAhpM9i4vemfW1NIHxEh8oRED fJlm8wqZuIzTycLkiewPB1IVakPN5N6FP9Qeern7cVWRb6v/R8V1WdO/x8j4CK4q+zzsdhuC0TYk bHF48vLg8/lU+qelyHZlY2R4RP8dHxsTkuEvKkVBpBgueODKcaIIhTNqE0no5dEqEWlhTEzIlUUs U4Uive7s5c4qESDAg9I6flKHm7g9FzM3p0KzudU6PGIgWYzHE0NxUcrfH9ypZJrP/a3zf5c+PHMc S+Q9mfSTa0Sh6NXuK7SgXkLatmzUexbjsTP/ZTSBwaKOOXZOUowu7SVStyrxOWo5peipmYeEh5n3 b1o4IlDMFfh1auuSzk1yohku8EBwEhar8mxc46Gifi7jd8LphrDcPLSFT+KNwGZZbFaLmWd9tv5+ GUd6G8qlWqx29WVHY1Oan8IwlAaKnZ6E7i8oulLoFifpkgzJkI5Gkxf5YkeH35WcK3NTjXGmmB0l ZT9ymcJwpO0TouZnEiwxbJwV+wffxN8t/i+81fmCRiRQD3lr+x9wbdUXpJ74ePOPVQAmWtY4dAhX l96GwvIytY2TJUBggMadoR2/xoIzowlzZLY6PTPrNKmLELkOiNmry3EE3GR047Q2jG35YvkyKMyl BnaLXeENx6uxqvpc669VeCL/iKgXQxiiRoFkO8qL61FVPUebsipWLbn/2kpCfBl9EsScfcXGAShL oqerHQUFhfCPlGPJnNXY1bYFFn9EFoQPwwSRh9UeDeJA6C15OI4Do3jBhVWb8P0zd+BXZ75tkBst 1DyyyzuR6UkXX5vXgLPjx7CwcDXKPXPkKWsti1QIJCjBjcXdu8i72iA4OjwqABK65feSF0bEhWtD r0FGMkMY08Kz3tER7MLx4UNo8KzDFUuuU/jETcqi2kcvLgMNENeVh4kvc+aMU02QKNNM8cznMKrI tHiM/cnPCoZD6oMgnE7Pzo16U+09eK3rKb1LbgB6hgaGPd3Pwz/VgOK8aiyrXolTg/tFMAxOGMNJ 2b+zvuQ63eu2g89jNN6B+9Y+gFcCfxAXjTpZV1bciqW+i4QUcuqX3enE+PSQuibJBqeXI6AimDR3 ntbV7shGJGwwKD7KRVOYaZnC+qobUZO3AE0jx+C1FGHXwAuqU9y/7OdoCh2Wt6RAdnlOnQCCzW0P i+Ra5a7HxYVXqSDK2g0Lpwy3uV/otRk90LDwgLN2Q9TycGivHAHRxtbhU+miYOZFWaW0B+F2Zcz9 UsdjmO9dLmvEyaOMx8l1IlWB80JIIyHuTy9CguMNNXfJY5AcGJwIYqgvJHHoacTRPtGMkYJBBHoC CEVC6Av0IWjvxGQ4Ap/Xi5GRURTk+3D69EksXnIeurvblZscO3YQAVenCo/ueAHik3YMTPZieHwQ 1dWVQkgIHS72rlYBkt6EoVPryEncWPVViSWIQ2WxaO7g1uZH8C9LfjEzKiwJoV3n4kexxncpsvIN YWS+KY59Zhx+Wd3M6GUm7qcnD6M+bzFOD+6X2x+IBhAUFfwtMWtrCxdrPeg54iUWNI4dEiNZoZOV 9Jk89U987HSwWYjddbBo2q45by/zJfEQpH8EwGfr7lOORAPFeRp80bk2r7wkwzwyFnjQSYNZX/pJ bRAW9rZ1PCbJn6yRTlSUlWJHy0mNIyv31OLKms9JKYVKjbv7t2J4oh8LClfh0NQOwBaTcVhbdA12 dj8t0GQqOqHfU5E7B02trWiZPg57rVOHhs9M+H1l0QaBEpEIlTGh8RASRoin5pZnVMB3dT6HLKsT J/v2abOy75wbemJyCLuHn5NazT80/Ld688m/czu9GIz0IRaP4s6531T4x/dblFWhPDUvb5XyCHKq DE88LdYHGevc22zOWlp4sQwrGRs0OHxHmZfZWmDPFG+mBaE2FseHdY63qPIqkTLEsTvwvDYjNwIT PrbNvhvcrk3KRne3zYfK6aXAkAOW8gnsbHsGx6ePoKqqGv2nh5DlcmNkbAj9fQMYGsyGy+VGY18A ublEvpKoKK9Aa2uLknamFS+/t1mDOJe7N2KxJxeD4UGsLFmG54K/VJjKNl9W1GkluIkXJtfIypgt vLTKfdEe3R+xbnpDMXTjYwqbiIZ9MPCGwih6BFab2VtCxu4L7b+ZafNk0TQ7F8WeMizOXyMQYGdg s3pBOACIn8+244LsIm3QuH0KCQfF5rLSAzTpGcww0QyvjPNB9fOUpbM5lGDusRqz4bmJ2H/CH6AR MoSnE2gaO47Lyj6NDwd34Svz/1NJMgtahERZXWathSgjNzUJmjyAxPyJnLH67ysqwZU1t8Ftd+Hp 1gexwLUcPz/4j5ojX+Qul0r9kpK1QGu+pJp2BJ9Cf6RbgA1Bidvq75Pxougfc5oFeRtxLvQhEhaG XVcoRHqu87cqD6RjXaKWFGdzOhCLRtPsdPNiPnFR8ZV6TtZiCDUv8V6g98S2bRaz6TlvqL4Lr3Y+ gZaJ09L1ot4vaTdMwHnxQL7U+agUZihCMRTq1/qzPfki/1XGHHZA4nVb2h9WEx95WepvyTJaNtKJ utMg7BoHJAn1Jb/S9Sc81z6of2BPAa0XQwA2BS3Lu0AvibkDsXWyawnh8dB0TbaiyFOGk+4jmLZP IzI9Dle+A9XVtfB6ffCXFMDpccDhdqCwsBgFBQVwOJ1KYEOhkFTvRkYGkZubB6/Pi87JQ1i0YCm6 R85hbkkd3G52oiU0d1wz6BJTkiPln8niZaxK1INs2wv8HELJnmagI9KEXx37P9gd2Cq6PF8Aw6CB WFAx6GrfJ2QJzZCPEO3evldwedmt6oWXIAGh4liP6Cn0GETw2CNCq8Qr3+nXC6B/YuJMpoQt7Mbh 5AfqL+BFL0zE5cP+XWK58oUwiebv5fhnemaGBKRyUAPMfCfknHGiFilAFNVmBX9d6bUKmTgsiOLX zKlI/WYORHrPddVfxAttv1OYwVZi5mxcuyO9B9B6cgem/B1w2Q3io3SUbRzmc4koJiwAMkzZ0vJb 1HnPQ1/kHPy2IiwrXidq+6Z5X8LB3l3Y1vVHyZ0yvOTY7nVVV2Olfz1ODL+Pd4OvoGXyDC4rNbR5 WWcihy9VqUv7wkzpI/MU8f9o7BguiTiLpMI2Pjc12yxJq3pLPgy9jXVF1ypnZljPWTb0OCSt3rX0 e/A7UjkpSw42u97L6aGD6qRk6MywmTnPof7dAhxI/mRxk/fL9838kh6fOVEqSScU6VAtgLI9BgRp UYx/cvxDQb3vBl+V++RLM/V1yOikTGWj87AUP1aUX4jzSzegeeg0nut+GEWl5ZgOR5Dr9UhRwusv REGlgZ5MTowhLy8fZWXVGBsbQXFxGWqq6zAxFYEzkot5FYsw7RhGtteK/kg7YmWDODDUro1LAWYu GP/MvITIEe/JgEydaZEwFpF4eDixljkJLQutIJNRulVCg5JL5eRWJqWRfoVrtM5GvpUjWnwobmDl JoxqoiCxlH4rxz6sKLgYk9OjGBuZRPuoMdG2OXwYxRz2mV0pETR6NoZCVGznQflU9VfVxkvVQt4T URduDvPSgBv/Rs0QoWdnX4fkVVPzVQjNSlaVusmBF5SkM9/ixj83ekIgAhm5zANJDblq1R14of1X 2N75Jx1yWm6qxtDrEnniocqzF2GoewIt1mdx7/nfQb6rQLWfzY0PqreHlCPq6FZ75uOK2J1oC57D yeRbaglmhyFJq8dG9qE+d6HeAVtnTQ0z1r5mEKuZ08FNyf4awsns9V9VuCENd7MGQ0/HBjYWazlm zWvP19oQDCBTnIjaCIZxfdWdsNuz8XLzo+qdQZJiDqNYUbIBy4vXyQGopRdWaXC9M/CKGtveDDwr hI60fp4BhmdUq2QxWdKj5v1S7Xtv78tKZBiK8KIeEmNNzvxYXnBR+tRzI+3s3oLirHKFFtXOhdh1 9FU0Dh9FZ2cX+j29aOs8A3siC4ND/SKyNSdOIumPITQ0pGHtldX16Av2IBqNIT/fi9HREeTm5GKs fwSnhk7h9eGXcCRyDN48nyzdkrlLUetpEDmOnkOJtN2jIhEFotPDVLhpp6bReKpDfQSELFmB5jRc JrqUHuLBIf3c5zCam2gQONmWz87NaNYruD5t4bP6d6J38gjhgBAtHqDrWUsJPq1mfwNmdgKuGBYV rsakbQBLCy5UEfb0yIcCOGj1nZbsdDMWNxXRMxqfvcFXUp7Orb5+Jt7rijfJSjLsmJd3HrZ3PaGp UHx2HhL2ZjA34GYnsijJpqwSNCYPG5QZZ64U4MPRaSA3gpwclw75+tIbFHq+2vUkVhVuVJLNMO3Z ll/ioqWb8F77a3hv4BUkLQmF2cwLlnjWYEX+evXd9A8FEOwbgHXUDXcdUFu2SOBNy+gp3DDnbrw/ +AbifTs0+qA+bxEa8s/H5MRoOrbP1MFdWbwRz7Q+iG3dj2tzUqOgyFmm++T75Pr84ewPUOGp11qy Ok/xiK3tj2JN0eVI2oHFvtV4qvFnsDkcmJoex+fqv55mEm/vfgIbam6Sxtanau6RkVJxnBMLLFYZ sE0VX/hYP4mGeGYeZrctB6uLLpslwbk98KTCF8a33RNscx3SD9JCsj7Blkti1W3T5zAndymKOwkd rsNL+CmGhwdhT2TDHnGBLdl9/UGUuCtxtvEMiooN5UCKFzPkCg0OIBjsFQxcWzYXo8FxWMdcWJS1 HnkWDxY1LECex4OOySadcp5w08qcHP4AWY5c7Ao9K1KgGeN3TQaAuA3XV9wFGx43NlS8WxuDXsDs rzcXhpaFdAQSDZWXJGNai6jVGKnAGkNwqhvD4SFgyoZTkcPyWla7Tc1ClxXdDEvchT+c/D5yc7KR DULmxsVQlfwvtrJy45NOQSPE+JoJJ8OQ2+vv1/cSLOA90quwDnVN1RfwfOuv9eoI81I0wmp34NTo AVlRAgvs8GSeRSbvoMI4jsMbUxGNSfsH3bswMTyNW+bfD4edxuCgEC/WMnhwWStQnSOagDvLDV++ B2tLN+mwcdRBd6QFJ4c+1JAijRDIbUBs+kMEszpxe+3XJZv0zsDLyHK4ELckUJxbiYX5q/XZR/re Vg5jj3M2CjsLp5HMINCeGHgPawuv0UGgZ5jEGCzuSnly9tKzkarAVi7DNjjebIzayyrF1ZW347dn /hM3zbsX7/S8rPFzFAAcTvSpK5CFQnKlKdjdM9GKIndVuhxgKEO6BAqYtJLMa1Yl3fwCx1cxXqMl IT2dm4wkwVUll6Z5NmYzyh+bfqAkfk9wm2oB5d56FJUlsL5snV7k1hNx+Ev9KMguw2h/L5JTU/Bl e5Dj9mDZ8pXwer1wZbsxb/4idHd1oKZ2jgprXm8egtYm2CotmOeehwb3PHjy+HPGoeWJV9Etneym agdJYJ53mWJp/jkyHUOPZQC/DTTr+5h7kO7Bxd0dfFGJM2FqdUOmLm4uWuKLi65W66kJge8IPG1M e3IW63OK3RWIT9owlOwx5k5k5wly3NG+Bef6T+O8wvUYHh2A3ZtU3wGvkrxaXOxdmmKeGnPbm4YP w23x6LCQ8sL2VcbSDG2dVrfCA9POXlxyLbb3PIF/XfUrHOzbpQTWl1WMlf4NqAzNxdPNP5cGGC3s nNzFgktJw/h94/dUjb7Ufzt6RtrxTv9LmJO3SHUMFtNYHCZFxtwFjxz+EY63H4LPWaFhn/RyPGCs zN9c/feqvTA8Yz1hVfnl8Ey4VANjx+R5BWvhcuchMj2J1uGT+KBrh2aP8BBSDZEg0BzPMkxNTKGr c2aiL6Fs6o2xWMdnIGLKAidbGNi89XrPM7jIf7nyhWdbfyXOGGWWCNtSzZ3AwInYe8or6e04po25 Hes3XD/mGP1TvfC7y7Ct8w/y4jSG58ZP4OKSTQKhMh2F2eos3px5OAyar13FGCZI5tcZnrBUv3Py L0rO2TfNr9OKM443EAYnkjZgIHkSOwb+bMB61jB8RT4UucrU39vb70PcEUb/wADKyyuR5yVPych/ yssrpEZSWcnhn8BoLBdh2wiq/XNQW1yVUiI0vAKHa3Lzfkz/wAIdVPY3iMPEIZYOSml6TBklQ1mD mzOVY5FmvoQCZ5hJ0l/s/IMGRrL/wvhyEiPxIdzacL9GP1C0oqWlHXaPA7V1VSmVR4MjtrJwFD8Y vAfjY+NoqFqBYVsgnZASTnw/sEMhIRnPvA96FYZSVAVkuMaNSB4SrSintfK+SCgk/Msi3X0rf4Ed zU/IW3QONyHimsKjPd+RR6JFvbTsphRgYVFIuTT/Ynym9u/VLhBuyYHDHZB6PeHY17s361DSgzKG J8JDxkSutRAR5xhstgSi03Hln8wL2F15cPBtJfEVrnp0jDajsfk05pcuyqhrGeJwNGJkVjQUnW/I fU6NIIwwGieOYH/P63DE3Fhmu/zjVpsFT4tTe4uW3hifXSzDxLyKISyfjTkoC3m/P/tdLCu5RIIO PCREungoRuNDKW1nw/7zYAVGO1CR16AW3ouLrtE67ej5i8ANcgU/RpxI7atZHGF+EF8MP5wUg9B0 v0r5XETiz6QcGM04hho2oUS2fpLZSn1WusPrqr4oGJblf1qAntN96LN1YTg8AKfbhWRvLkpLinD8 2H64XW44HDb09w/A7/djaiqsynvX1Dm465I62S+0PZLu/zb61YNaISq4fwAAIABJREFUbMLOJmZK i3ZR5Sbcs/D7inE1ZiCWQLA3hEF7SBOtwhhFRBQau4iWZb467B/YjaaR40LEuPjsPeHPMzmj9WbR ixVgds9xRsXerm2y7p19nTg18j6Ku4uV9xTnVKr4eKD3TZRZ5mPI2o23+k8gP7sAKws3Cm5l1Z/D StmCG4obk5BIjORmINWDFW1uBFpRCtN9cd63hGxxfSW9GgtK5I2oGaVEWXyk5Wc+QHiV8OhbvS+J T8c2W4Y8VC1hK3RgtAsLvOsQB5uvopINWlG4Dq91bxYSxPdOT/FS+6M4r+BqbO98DF9b+X14s/MF GdOCs+rOhJabn/f0Yd/bKExUS540c0NNR6bgchmkQbbLRiZJfLUiO5GN870bRWV5pekJJKYlJ6nv Y6hJYiJDdCqqsLjJ52EBdPYBYkE7X/9lD8sC/yrUuBfg/cB2XFtlqMgQVDk5+gH29b2mQ8T3qPNr TUrSpyl+WAaNkD+hamoqe5zetBhd5iGR0zjOuRZZhbIUtMyL8y/QopmdWbQ+XFQyeim5+e0Dtwsu I1pBiz3Pw6b3JI6OvSfiHsc78wdJ1uvqbUf/6WkUz82TmJrcqd0u4bYTx09g+fLlaG8PID+/AKOj ozog5GmVFJRjcLpV8O/ays8a3Wkpa07L+Kfm/8FlJZ+WtUjr9CZjiFkTeLuXcpoUuIvDnsxCV+w0 vjbvB8jL8qW8UBK7ep/T43Po5fKCS1KezCIP8mYv1TsuT42yRjon4OezB9zvrITP40N0YlK0byJT LIBxwYm+TCYt6I90IYZJhUC07Ax1iKgxHGPNxOy5YcGVB5L3+vn6f015bSNGNpUOeRgojPBq4C+q Shtz6ZNpciQ/i/0chJ2ZwAcnjeGi11Xdqc28vPASPHLohxgBp27NxY7uv2jDkqJCAiLrFTyovM+i rEqcOncC2a5cJejxBIuEYamcMzw1FUxoJMpjDQhbxjUzJnNXkfw3NhZKI4nGQFJDtJvIJUcyJ2KG 6IR5XVv3JZwZOYDm8EmxHxj29Ye79Lt3dD2tw7Ir8IIoLYPTvXgp8EdcVHYNrHELHj7+Tfzjov+G g+uSGk8XnOzC7TX3y/uYIfiz7b+S/CzDLbZdM1HnOyZCRyCB62fkozNBifYrX/LuwBYpWTDRJOWE cNfRoXfE0SHNoqHIkO7nVZZTIxdFq80DQZiQnzqBcSM8mh5SBZgWuaC4ABtu3mBIWnb0KoRYteZC OGwOzJm7UIWjhkXLUrG+RcUkumg4ojgyMiBiGmkLlPKZsTbjsh4MA1lFNrHrocgg9o5sxYX+K1Ih WBI9PUN4c/xZNTaxYGRcBhWeF/ON9KD7FNNWNP/YhNAhUi7oRVg85P0RpaHq45GWg+BcW2nzpjYB tYWnwmOweWwIjnagwF6EbIsHSWtCnWvkVLFhrHuqxeg9SZUFGJ+b9O9UkJLB6DXbdBPyODxIVMsn YsbedHpR1km4rnzxf9fwgLwQVSF5r+/3v47S5AIU5ZXBmp1EdfYcoWomSvOncz/S89MIElXrD/ei KG8B4tYpvcOi7Ar9XlIzPlF2oyrWPDQcupOXqEWnjRQga3oyr3nH5uy/TMtvjmEm1MsKuCHcYdxH U+gITg/vR7YjF3Pzl2N18aWKFjIcU+qzkzjQt0tazbvbn1NYdfeC7+BYaB8uL79Z38meG8YePFw8 lCSpUhZXxUBYFB0QeeT98OtD0UGMx8eUd3O8tN5ACmHjs9hpRQgP0oOwBE+FdMZ4ZMly4cl+5CRT nSZLFu5b9FP9OYqwwoOrym/Th77Q/Tu12X6GdRRuvo5syYquLuGDcrJSHDl2n5L+LGuRwdpMMnZP 0Q4IqVHMwWqF25WHcIiiXlmo9S6Bw2JYTUOCx6peabNQx9WTIkekW4eSVAImYPw6+03sSScGhgaQ X2zynKwZHuNASmF+UFpgbPAhZM0ZILQuzAuY0KkSDotYvq0jp+CEC1X2hXi941nNJynPqcdXy76H n537J4xS2dy2EpYpJ94JbcPB0TcFcZMZ+1K70YvPvglzotInq7+s+5/ZTBSOs86yyixsMc/gZ9xY cw9KXVV4tespIUmt42dwU809avvlYSFEzTieFehTwwcxMjYGV9KL3qE25JX78GzrL5Hj8OpZSMVg Ky2Jj8wnHzv4c4w6g7iy4jYsKSTF/bBAGIbbPBzmuo1OjGKovxmeCu9skmjK89GjZhIANRgz1afD TUt+XzoRBtA13oRN5Z9XHeZ3Z7+DnuFzaJ84q89mMZqUfgqNs7WXa7eu+Fo4Eg4xBCrdczXKWqLp qYm3Ze46bO96MjVL06OiN/eEENhkUsVeCoqQiUxvScV/hr48IJnws/Y8qRN7gy+qWknuDqu5bwe3 iYd1Y83deLHtEQ0zoTUnC5KsSM7soPIDLSx5WFwW0dAd+YILuS5UPxwMH0ZoalAU9himUeWZD0tW AjluVyqES6ovW3L3dg555wQnq1TVKd+T7ciWtUzP2k5xFCR0kGG1GGLYpm1IpBq1zMPkdNjhz66A 1ZkUR4fUFC4SRZwrC+aJ8Efy20C4V+EOXfPR0LsKKQdiAcTDMYndkQbCUMhsUGoeb0HI1oWF/pWo JEPXYhXh74tzv4VjA/thj7nUP/PPDT+bxfHhMxP0WFmwEQ+d+obyDVbU5fEy7eVHlE3olQUWTA/A 4TYamljYpVGjp+C9s+LMA0KAId9dghW+DVhfeaMqwhSU/uXRb2A0VqXpXyxI8j3RmPBnGGYQtZyT txxnRw+hqbcRzRNHFXKwlmI0VD0uSLsmp0EazeWVhWogm8WCTXdjZn7NGGdgbjx6EZIwNbXpIz6C uQf3HfNYQvc8IBRmYA50Scm18uwc9Uykj0aLcDxBFuoTkGXMvcxDw4IqVViurbwzDfDQALClg/kT 3wnRvorseTjY/S7qspah3XdWDWkZt20ckGgyorL9dJKQ34sqs3972SOypFtaHpZLXmFfr97f+z7Y JOGCdcXXK57m4rHyS7rJRGhMjFmqUzBsoFr5sdB+3FT9df2iZ9t+ojFl/RM98DurjG2c4AExBOQc 8Tii0TicDgdiTO7iYWQ73TqwRFfMOJZ/2BV8Ae/37zBGxE2HdFjYd8AaAw+0inWpCVH9sQ7s6HwK Df5lip+JhrBngMjcj898DSPhQSFWTN7LcmqF/RNgYNIs4bRE3FBXTOk3EQpnB2B0KgZnbnaKnZrQ +jmSdsTCMdgTNsX4huRRxkYwx0xEB2T9ufH42Qyd0lpOafrSTAMPNwYPKuc6cm0z3yJHOxCV0tQr d5EYqhx/91bPi9oInuxChcKbKu/QjPejQ+/h+fbf4MTQh1joZXPTSsGlr3dvQbIjCyP2Pmyq+zRq cxYq/Go8cVgHkUAAc5W9wb+C8zUH4/24oOiyWdb2ow+aacj4rhU+a657Zg/O39avMo9Z5gGk9zBZ 0abhYXhKiHl75xNiGY/EQjIKdTkNanDj/mBkQKBjUcmF6rLcUEQSpx3DI+M4m3McK+ouwL6ul9Pz 00l2TddBdvW+IHRjlXeD1Cc4Z47uiGHXvy59CEdCe6Wa96nqrwj7vq3uPtGHGYIx3vM5i9U/3Dh2 RNNNGePxdLKph8UuM55m/YAbpjfSAoaf5CwZQ0pY+k8tVOrvGv8Lm6z76b4DGTRwgwEbiU0qNCAG bkKMrGYzZLmi5DPp+JV6v/1jfVIOZG7FWX20IpxwxR6JC/1X6kDTUjHcIrrDmoTXXig4l2ryvB8i d3wWihSsKLwE/XlBtJ49rsosZ0rwhqviDWgcPIBB9GFsuBkr51woK80Xkd4CFnqDYY1L4+extjQR HUsrss/E8bPxRkLE6u+IGtpVJNidGjmg5i2uKWFNDkylqvpfTv0v1vgvhws5uKjwarzZ95yEszuG G9WhyJHO1OnlfTG8o2rIi+2/R2CsE+f5qlHlqFPeeXhgjzGoZ7IZF/gvx+HQOyrCktpT5z4fPTiD Qg8n536cKm7SpjNZGsZQHCP0So/SMwUUXH683bdN90TC6OuBZ7R/+PO94Q55fw5WZX7WNnFaoAk/ g0Z8T/9fhVZZHFY81fELHBt8D9XueZJ/okFcVLRaCTlHkrMQyTCVzATuWbZph7vCmAhSUcUgUX50 /e2XV92CNwJPi1hX4jbEyQzjZPROswuLi8rG+Kn4u0ITKP1o4MxOvNP3sjY/oVOKU9MV04UyHDBn p/NXMj/gYrKabVgWEtmsEifgUBRzII65anxAkiRZyV3gWyGSJNnD1Asm9Zy1AlNilJ9rczhVzOKE KHmQVN2kJ34G2TEb/Jb1auWk2+W9EO0x00Sztsqcg65Y8B6V4jX4xkDkOLqr2rtAxMVCVxn+Y9Vj AgvY1KV+ce8cBP2deL1zMz534TdSE6QMjSf+ElZrSVWhxwhNBBSusCuRLbX7+96QADW9A4EHWj2u L3ljNESskN+z7AGsKNqATyTj+pzVlVfqe0h5YVGQdIk9XVtxaflNKMuuleqMEKiJgHr6b1v4dfXg 7x38K4an+tQ2/HbvNoki8MA8evR/YMuPITjQCW+WV4fXactSsk4hQB5KIpYtbDyL2DE1FMfEZBgu V0b4+1EvQCuYzkGMk0PFEib6Mz9gkZeeSKnqdI2fU26bl+2XYSC3ip6RPfcMwcaTY+iJtMvQkd/G 5+SfKd7XMXIWN1XdLRb0ZeU3p+Vzuf5Ewi4svEb7r9RbI0/US5mpxJjYHAy9zRF/mQ9jZwx8qPct DWo0Wbzm5jXHUPF/zEopae5Ptfxc388YlS+Iws88EPxeNtTk2Qu1kJtbH07/Msb1KtJJh9UBu90Q KFZ8mgonbEmjmYoLxjmHtOz8fLp4fh/nFDI0onvlDO9lKeEw/syrvU8pDPlE9Q2CLtUeG00iNDKM Mke1BkuyClyRU4dQJDBTNU39D6ngTPBoFAgVsrdaQz2TCYVfPFCLC9Zgd8+Loi2ctOwXVWE8NKzZ fOdFN+JE8D3s7n4Oe9tegXvKj1JfOcr8pZrvQW/HpJGJKD0Gn6HavQD9EY63dqigx5CO68Ba1FWV t4sxTSu/s2uLvOPWs78RM5idkvTy0p6y56rG8k7sZc1JN8ALi+6dG5Febzocxl+bHsNoPIS87EKU e+fgilrqCVikTLI/tAuVufNwZvAQrqq5TbkZFVP2BHmAVuOOOd8Qs/nMyEG0Dp7Fck81LmxYL8h+ tteYdTzSXzNyTLuwB36JhiyTyUtU6tM1f69D5OzIwnVVX5LF59qzws7SwdqCq4Skjk0Nakw1PSnp KavzL1XeeEXFzXi543HM8SzVunDDMyTkxdyTKCtbG5izkbfF/UGCJPcI72piNCyRERPBMqWC7PsD O3FV+WeN2I4iChZDyp5JjqIePciMtiPZpYt8a5ScEw8nfs5NyxcfRUyWkcUcbmxe/eFOjRMLTLVg hXU9OibO4MnTP1ZlmC7QoF6wL8Kp8dCD0wFEk1MozalVzHm49y30RrqMCVCRNrzVt1UjFZrGj8n9 muvsyaK7pxwmEaM+LQpdL6VHP2h5W+JxFK7mYjNGXZtzPc6NnURgslP3wI1F3Sw2QBkiCAmR5cj0 Jf3hQvc12NFCcYgsYNyJvb2vYH3Zp5CXW4AydzX29ryE6ux5qPMsxtR4BDa/BZ+qvwuVnmr9TgIc 9FBmoxC9n1Q1pjqx0k+y3i9xS93XYLdmKY5OvySzsUheaFLK6+YgUCb8VEzk/b7MyVe+FdjT8SKq qucpbyPzlWLTl5Z/RpT4La0P41Pld+HJ5p8iMjWp3CQ3O1+9D/OSF2BO9nIMJJqxvedJWBPGcE3S 71kQZpjCSOJM72l0jzVjnm+xxlXM1rmaCa+MP6bmX6ZGr1GcwVhZwsAzP0JAY/ZHGA1vmVvP/Gzz 42lsWeQjo5wopAai2nIQS0SwpvAy7OvbjqsqPqc2gcNDe3Fp1Wfw2IkH5LXJiCZhtG2iUVSfHudJ uJM+qToaoxlmfq+dtPEwq7saK2wo5bGukOM0JHzMYk/mzXNjX1P5BbWm7ht4TfkC8fI6by1Ojx3C gaG3tKgXV1yDjughuHPycH3BF1DvW4C5/u/p+xl+EbtnXYOVeA7c7IsZcScFxPgQFCLwu8qlXs6N z+mnbI+lmLJVgPuMG6Bb/WzDP+Ng325ZYib4XpTjAsdNyK7JRq43G2uqDXrDyuRlqMqbK6IfsXDm JIYWsAVVBQ1iDWj0lwUIhcMKl1jzYB8F85lpB9A8dBIJG/utjTYBQqfsk2eI1D3ZAedUHt7o2Yyy XEPfyRA244s3ClcsPDJ84otmIZDIC2dz3FT7d5rD8dEuad4bC7OEb32OIllChms7ezbLWpJQuGAq qLEGLOhNx6e1Ge5e8F2hPRWuWkUH9OREelj03d71Zymk7G7+K9qSp9CbfRJeayFysvLULnvd/K/g 7NAhvNa7WRR9dhMWYz4msoYwp2wBHNLSNSBcen1OkTLDamNzGwkoO0UnI2EIXkhaPp63/I3wLNNA ZB6StEF05KsNgGRDrg1n1zCMovdgCD0Q6UUs+WeUempwZd3nsLXpd2rl4O8m+ER1G8LY8SkLEmEb XC4XpjEJB2ZLB9lJODw1tE+/kPchZWtuFrNYkll6zxhSQvdMAbbavIVqkqEEDd0YMeVcK0v5IYSm gtoEPeMtaEkcwx9Pfh/z8pbIMhPbPt9/qRCjJb41GsGVXoQEhFT1T/aI+HZ52WfSxES6wMeafqQX ISRD1t6CULRflPex8DAc7F+3hDA1FcGk1RBGSw5N41z7cWn8Eta8fu5d2N/zmmaNcGIqaxGUq9na 9Qcs9KxSg5BCSG+JlEs4kIe9I6wTxSLso55A49BROMJWQxiueA06hhpxPPQexuOjuHHuPeKgUZ4o c3S1EecmdO9kAhAeZ0jIkdtEW37f+F0JmTGMpefN6fEo/+Gh58amdyYdg223rAizQEYkcSwyjj/v fwjzXWvQ5tqHzy/4ujGXXRhbHNs6HxOlg4k94WXacR4WHmhShwLhNiwtvATLSs7Hn8/9L/ItfjzQ +EUsLbxIkrG1eYuw2nMdujt60ZS1ly2CiESM4jAvVsAdzizNHZ/JPVP7JpVjag1SQExmTMZwcGdg i/7MkgI7Nkn7kXTrVJueleqN3Pj6956n1TE4Fh9GbCgKZ5YL/bEeARVzUvuLB4e5Y9PQETxx8kcC ndh5yc+kxu9PTtyvvf7Z+fdjb8vrGIh2K5ehSHkmgmhnI0qpowLbA3/WFyRRQy2mv0XeyjjGorek hL8uKb1O4sYkM7JPhInd9WXkxhiHbFvHH0R9sCVtuKTsk+ITkaN/vn+j5t9xqCQ9F6udjE+ZA3Aw zmV1t2Lb2O9Fc85M6uh5PlN3Lxb7zk8n428FX1SCV+WqU9zKQxMIDODdttfRl3cK9y55ADu7Nqsn hM1EDCMZTnFkMsOc8wvnKdHlgEwySUnlnzWTXc9q1aaOJyzSzM1x56B/uhP1zgXarAwT757/PVFN OsMt8DgNKDJz4pFREoUq9ISlaaCoHsOv9Uy24Irq23B+6WWydOy/Z9WZ4AknSRG4YOhKEIRrTCSH EO+Jof16qTmFWfjE/KtxIpSDp1t+jnK3geuzMHbn3H8TuscDTvSHyCQnSrFwmMyNoqCwCAuLl2lt 2XNDdfpVBeuVDzzV/DMUOcqxO/AL3LT4HgTbDd3izIv9PVSlMWJ4U5rb+B7mIPx6JgA0Y3yTuHX+ feJKpSHxWcjv34CBzcOWTEocggNOiXoxetgXeNUI0ZIWgR1Eq4i8bm59ECsKN6hwSHVQf3aJId+U Mx95tkPSoU4XnzMu+5HQu2gZOZLiOyWVQDJ+58TSzAaSGQto3mMKuU8dJCIwdPtEnUhFZrxLFQpu VvNQGaGK4Z24OAZM6VQOwOIQsXJRMKwWvNr5FxXRqIF0TcXtsxS7mUu817cdLaPH0wvNfKTMW6+2 1rMjR4VWkLszVjikg2m447jRY0+6PNsxYdQrmDexNrCl7ZfomWoRn6h7ojW9SHTd66s5WMiLtUWb MBaKYHxyDBHrqPqhmQfs7H8GsGVhgW85ssfdaJw4iml7+G8ouhsX4VJ+mfkbE3L+C0W3Hzn7XZwb Oq4aieHFkypk3rv8R9KrZUjIqja9DOnjFO/TJFybHT/a+y/44Mg+hArP4dqqO1WF5u/eY/eofkE+ FSFgdh6aFzsNu6KtYhqPTg0qjOO7YPNYfd7StNoKx+0d6TiAo53vozjJkdIZnLFUv4GBGFlTdJ7U 31NTbnVQSCWS7GzqJ1P/fezUA8h1UNTNCD3bxk7r2Rgu8Z2Tvdw4clRyt7T67EuhPgANGyMUIq3U t7pj7jekAcZyBBkFrK6zi5C53uVlt+DVrif0/JT/YeH7zrnf0vhr6g20hU8giujHZovYOc86HBuW e1f12ZKF/mj3x5Kv2bOsUyc7RfWeoQ0YCBA5/IxJ2cP9l6afaS7hZOmYKsaC+Dg/3MIhJTHxstLj yRifk0mTiGtR2OtNS0rP1DfZI6SMnqZtvBG3zPkHLM47P31YiY2LgFhwCVYUrFNiyDsmGvJM26/F VGXJihg7LerltbcqHGSTjVgvqSd4suUnQsfYJ6JeiOlhvRRVf7UZEvD7faiIlePc6GCGUePgoUQ6 oWVIlCkW99GL60Srx2fhL6cA3OuBLbh7/nc011ytz6k139mzRcU1Uj7owYhksaBLT8COQMKx7ISM WMYx7gmo/52SrmZEzMPI2gvfIY0B6xvm0E4am3lFqzQbnJuKwAuFIKiaUpPbgA/6X9M7+yD4OuaU zUdodBAb52zKdOjpHSHJ2bR3MA4IYV1zGCffq5Jgqc7M7CwqqhCt40+SGHnE6VeORO/IUJDV8jcD z2Bt8bXygqxhkU9F9UcKhhA8oPBdNKVKTxF1fpYhom6ToWWeyGemNBJrSmRf0Clwv+VmcUrYBDpG m1Dpqp/1nuzHRt5VHmCcpqRykeiEKWSd6TFM12i4Sm1lTTBOTSdNTY2ilWAfMmNrxow3ln9VaMG2 lscRiLTBYXegyFUu+Rxx/m25gl/pcVico2o4Y2wm3dfn3aWeBTKOmeQSKTs3dkLvhGrjZ0IHVHHn BmZIVuI1pt/ycJiu3m43sHyqh/CeKDpD2JY8MwIL29qNuon5vmmheV81OYOyTnTJc3KX6LBQDZx1 IFHjY6TQZGFwOojXe7fA6yqAJcuCh898C3N9y/T/09FJqTiai8iuwUhkQrExrTIPCI0Ai3F7e7fp pTORDkx2CKGiBhe9CNdnUfEahRNzPRbJbfI9Mc5+4tyPFb5y/kZjzmkcC36AIke1IQtL+pMAgbhC LsoSkbZuTlDiqOdTIx8q1OOh4nMz96KBIwJ4c+3XBDxQMZOzEZm37Q2/aDCKUwjO7Hwig3+V+rt2 ClsVXC5EpyOC+NME0Qzza4RMFuWufNfmIKG0smSGETMPIQ0R70/eKRmTkeD+ISgST0UMrBUR/uUz E+1a7LtASKzaJVK7uSK/EtWROtVEPjpsx07LSCRL8GVKOoUbIPOaFYubf8pkUKTEiY2xWQmdxHcH t6uwtj30FPIthbIIVMI4MvQONjc+hP5Yt5Kv8di4KuYk3BlVZyP8YhI/MBVARW69IFJaPVa7CVsy 5Lm4dBOuLLslfW+ketM6Hg3tkVoiPRvF7JjoUvPrgqKrUlws9gH0SmyZhSdaJCbj5sVQkYIKhK8n YoZwBX+HM5mNW+b9E/b2bFP/iAfsLKwUhs9vqM5boFyJLGMyCRjiIZ7A9LQh2k3vYmJTPFT8OwUV aMV57xotlyIE8h1cX/Xl9MsiDZ9ejwVS3iv7ckKRfoV87HegMTk0uAcdQy2IhuMo8pZI2ZDPzryO NRSS/0i8pPIIvRcbn4hU5Wb5xCMjfGweGrKAWYh9ufMxDSJinYvigQz7WC8yku1ZO+RjOYkxhNTE dFI0kxR0a9bDzM1PyFsRQJJJeYcoPTzUrDfRg1D1hS3C3OQU0WZYTE9N48FwioaDSB6hdx525ncM mVlQpbAHJ3Bx4vGl5TeqMNo92WZI1qbunO9wsC+EcCKJaFECDvvMAbbT9dS45qTPPXlJPImZh2P2 UpiHwnh6c3IrXzjDqmPD+9A8dhyfqv2KlE7WF1+P1onTOBjag4mpESl/byj7pKbOkp3ZO92JrnAz trY9qsk+jLdpXblBmyZPoMozVx6FMCiV5WnZCLnu738diXgs/ZAMN3LcPnHHyBtSnpNIyk0/HXpQ vQ9Gx1mu4OlTEwdgFQHRMeuAaEJtkjq/9DiUwEwaG56ynMG3EBoLiBjIZ3ym40F8ee63UyMgXkZ5 bh1urv6aYGoqFnKeo0bXpUZKmEUoMkd5MPlSN1V9Xj39/B2qESTjenksyNIQmGFa3JrQ4KKDvW9p BHRxFjstE3iu/TeixxAtoxF6ofMROO1OyYYSkKCn4UV1e1bmry29Q5uXYQdnQHqzqWrfh1PRD5VP USSCm5Se7KKiq0RpIQGS+U91eKGIgrM2QzrESpn4lDNJI56pk8TmKUO2ySAlZl4XlW7CqdD7hvI9 m6usOYKtxQy22GUcWNchsZLqLey9eTtAVMuO1f7LVbDl2tFAOm1UnsmS0g3BIxIZ6f02VV4vQiMP SNPoMRngC/xXap3D8Qgi0xFMhLt1n7MOyDzPMsRjkTQlWTL1bMb5CIplHgRzYTKTGW5Ueg5WItme eW31HbJSRkgxiTJbNcqKalRNZePKY+0/0s+xvTfH6sGG4k8i2+I28hGLVXOz1ak4NQSPvwAtoydF daBlpzWjNaHlZXJrJvYMFXqiHRiLGqOzzEYZ8xG4qGrF5awPa47GLBS4PKjMrp8hAFog/Jxdi0zm GA+Tas5EdThh6IUxBKPVZuzOjjf2TDCEYyswL1o/a4JDPt1Gx+XoCSWTjHE1pCc2iqHIgBJmokgM eWwWJza3PKjZeWr0YkU9mZQGgDH5KqaNX+NZiMaBQ3rBeyZyUKd9AAAH0UlEQVS3Sf2S1rUou1yH rD/Si8beE6jPWQq/v0wtsmzQIoTNzaMe83Cv8hjSS9goNL9gpYqLNb752izMRelhlatYbGn279sD L8nSrvQZDWbmehkLzHyPp8KsbJrEaxO5MkCEaHQaTof1YxHKmaEDuKLyNhUTM4lr1PplKYBry65L c6wevQvviQXYGs98Gbg1/iuwpfUhUYmYnxGNYzvzmeHD8iBkY3wwsFOdhnxvn6z/Kn7V+O+4uvxz WJt3MYKD/bD44nBlc+1n6jTS5jVCo6SGtHBXmViwOUh8lshX+tAYf6BkD62kNFjtDqwru0YSkZ+u vkebV5h4EugON6tTjHHgeb51snac/toyeQq/OvvvWOZfq0Sqb6IDuTafRIprcxrEGn49xEEvkynx tL164Y3Dh7G5+ReGWmCWH9FkWGOGR6L9aREH0+1zcRinq6CVjCMaj+LNvmdlCI4P70vr31pSB4lC eAw1NM3W5jZacCfGFOYxX5EauCMPtb7FeDu4VR63LLcONb4G/LHxh5jrW46lRRerN4QidXm5fixw r1JDGsOLo31vIxHjSzCKrkSyGCvTCxBI4MGiUgmRJ41Ns3tFdcnPLlbz1rKCi3BR0TXaaE2jR0WK ZN6wvuxGPD3+W1T6a3FiZJ++tqHkBi2G0dyVxE01d+twHwq9pcNbkT9P3pHaAux9p1WmIPXG0htU L6LVZjJ8Wd0tODt4WO/ob1+ZbU0mFAvsH3hD75BwqjxJJKZcMxP+pgE4NviuftKfVS5RBq413zPf LfMrSi3RY9L78IDQQDInLHfVS5jcvAd+BkEJvnN+Nj29idoVZ1dJgvSeRQ9o9uYCz0q1HksvOsL/ daC7txdlJUUZB0QDaSxqgxQXxUZUoUBFN1LWMzWCjIc2FOu4+Y2DY4RWZqGoIFmKOe4l2N31AjaU 3oC4NYo3As/h3NgxcYgIIbKYI2GHaAQVtjpcXf5ZLcgFJQyNbBJKZv/15OSEEJuSnCrVAIqclfhC /b8pVia9g1AfaSD0MGdGG7HKOw/7ul/R2DDSVLiBKBbXNn5KxS8+F18WNzQ7gEnq21j4SVlSk01M eJPKGfwrq/ekM9DtJ2xJLC9ej9LcOvWTkM5CFIz3CbvV6DeZDqgvn0nssf53EJVnTuL08IdYXrDO kNTMv1A/TxiWlox1GOpzPdb0Qx1KhjY8gDyUhFYpesHwlcONWKxcU3y5QlP2cNPS02iQwsKaDr3o ufGDsIw7MZE9rjCUG5yfybxH8Hhwu6zyNRWfx9bko2ocos7U24GtMiD0cvTeq/wb1JvBdoOdeFqt CmeTh9L5w8e9iLlBU17DAiFgxoYdVhPa4GRQjGNFKBl1kM8v/Ka0jmmo2kZO4InmH8v65zhyZ1Hj jahtNuOZrczidkk8vCDd2MaNL6We2Fiq8xQqFBLM4XDap8/8VANODU+XhNuXhSnrGDxFxvhA7XWq mvD5NKMjmRAMx43OD+XMQraKGkkzO8ESQqgyY2kD9kzKcwjr5jjhWFRzFwinvtH3rJJDIk2E4jir 20AojD5yhlyIxbDMuw4vdj2i/IEcmaxkNhbmrtL/v9jzKEpyqvFh7xtimNKzsC+ZdQ+6XXPWHGNj fmZN7kJsKvs84ohqU1CHi9R4xukGW3c8bexMdjHvn4U4s+4QTUbTwzb5d1p58qBah09gV/uzqPMs whTnDA58gC/P/Q+tEUOcnb3P4P6FP9Hfz44dUY6xqmAjtiSmVSvhZ/G/LAzSSxMA0KxGiwVXlN2K 9/p2qDeDL5YhwqGBPZoTSKvNJJxj1y6tuBkPHvtnydqsK71O3uWhU9+UtSVU25BzIQ4H9qE4qwK3 1v9jOiymYSP8yTmLrEazeh6zRtUkVuGs1YZkWMx8hHApv29/9E15XOZ3HF1HA/P/dB78Y7q1mZBt n0QkaDR4kYoyPjaKHX3PZEQhFuxs/wvGpkOSCeVslS8t/g+80vK4SJ6a+uX0o3u81WBt2wz+F3vW Ge5yfvyZwcN6TrYMU0yO5EVSlehFGKKaz783uA3XzLkTT575H0U91EJmGaDQWYqEfUqNfVPTo/C4 Zjo87SbypLFmGU/KBiCGGPw30oGNTW2FzWYQyUz/yETXwLYZTiVhsztk2ZgvsErMIY9k+PIU87My 0hijjmK1qJA333MeDg++o96DzJXPtxWhPLceR617FGvzJdHbMJGl/hRVVxiHc9ZcuW8ueqc78Ejz d5GfXaJBmqJOO/K1qdm2SViZh/T5zkfkSbYNPqYQh5Ag/25oUVmkecvmMK8zX57ope7HJRFDDWOy BijoPDDdk/av/IOZUGvak82JyakZ2NCAxY0/M9whvSLdF5GEag7Mfx489Q1BrSy60or7XaX6d/aN HB98D0sL1wqlYZzNcGOh9/xUJ1xSIRk3To7PB7elQBuFkDHhZPbt0JvW5iwQFZz1A2rZngsdRYm9 Qi2qDPP4zuhl6WVy7B7YYMX2wFNSAGF1/f97mdYXBrmSXpFgDb0luVtkAMdjJhXFMEhT0XGxmbnH WOV+uunn+PTce3FF/DaJb3ONClrapX7T0LAAPT0BeF15KHQvwMTwBC7JWwB3MgfugToUFhZinn8d uoLtGK8Z1zz551p/Jx7dmvKr8E7PX9UgqCJqyki2jZ3CG4FnsahwjSDilNam7u3/Avfm1xDT8XKS AAAAAElFTkSuQmCC