20241220
09163100
1.0
FALSE
bbr_AOI
002
file://\\nystorage\Geoinfo\Faelles\NoBackup\Olivia\BBR kortet\BBR kort projekt\Default.gdb
Local Area Network
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_32N
<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["ETRS_1989_UTM_Zone_32N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",9.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25832]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>25832</WKID><LatestWKID>25832</LatestWKID></ProjectedCoordinateSystem>
SpatialJoin bygning Boliger_o_a "\\nystorage\Geoinfo\Faelles\NoBackup\Olivia\BBR kortet\BBR kort projekt\Default.gdb\bygning_bbr" "Join one to one" KEEP_ALL "id_lokalid "id_lokalid" true true false 80 Text 0 0,First,#,bygning,id_lokalid,0,79;id_namespa "id_namespa" true true false 80 Text 0 0,First,#,bygning,id_namespa,0,79;tempid "tempid" true true false 255 Text 0 0,First,#,bygning,tempid,0,254;status "status" true true false 80 Text 0 0,First,#,bygning,status,0,79;g_status "g_status" true true false 80 Text 0 0,First,#,bygning,g_status,0,79;reg_spec "reg_spec" true true false 80 Text 0 0,First,#,bygning,reg_spec,0,79;dataansvar "dataansvar" true true false 80 Text 0 0,First,#,bygning,dataansvar,0,79;f_haendels "f_haendels" true true false 80 Text 0 0,First,#,bygning,f_haendels,0,79;f_omr "f_omr" true true false 80 Text 0 0,First,#,bygning,f_omr,0,79;f_proces "f_proces" true true false 80 Text 0 0,First,#,bygning,f_proces,0,79;reg_akt "reg_akt" true true false 255 Text 0 0,First,#,bygning,reg_akt,0,254;reg_fra "reg_fra" true true false 80 Text 0 0,First,#,bygning,reg_fra,0,79;reg_til "reg_til" true true false 80 Text 0 0,First,#,bygning,reg_til,0,79;virk_akt "virk_akt" true true false 255 Text 0 0,First,#,bygning,virk_akt,0,254;virk_fra "virk_fra" true true false 80 Text 0 0,First,#,bygning,virk_fra,0,79;virk_til "virk_til" true true false 80 Text 0 0,First,#,bygning,virk_til,0,79;p_noej "p_noej" true true false 80 Text 0 0,First,#,bygning,p_noej,0,79;p_smetode "p_smetode" true true false 80 Text 0 0,First,#,bygning,p_smetode,0,79;v_noej "v_noej" true true false 80 Text 0 0,First,#,bygning,v_noej,0,79;v_smetode "v_smetode" true true false 80 Text 0 0,First,#,bygning,v_smetode,0,79;app "app" true true false 80 Text 0 0,First,#,bygning,app,0,79;kommentar "kommentar" true true false 80 Text 0 0,First,#,bygning,kommentar,0,79;bygningsty "bygningsty" true true false 80 Text 0 0,First,#,bygning,bygningsty,0,79;maalestedb "maalestedb" true true false 80 Text 0 0,First,#,bygning,maalestedb,0,79;metode3d "metode3d" true true false 80 Text 0 0,First,#,bygning,metode3d,0,79;underminim "underminim" true true false 80 Text 0 0,First,#,bygning,underminim,0,79;bbraktion "bbraktion" true true false 80 Text 0 0,First,#,bygning,bbraktion,0,79;synligbygn "synligbygn" true true false 80 Text 0 0,First,#,bygning,synligbygn,0,79;overlapbyg "overlapbyg" true true false 80 Text 0 0,First,#,bygning,overlapbyg,0,79;bbruuid "bbruuid" true true false 80 Text 0 0,First,#,bygning,bbruuid,0,79;gmlid "gmlid" true true false 80 Text 0 0,First,#,bygning,gmlid,0,79;DatoForHentning "DatoForHentning" true true false 2048 Text 0 0,First,#,bygning,DatoForHentning,0,2047;SHAPE_Length "SHAPE_Length" false true true 8 Double 0 0,First,#,bygning,SHAPE_Length,-1,-1;SHAPE_Area "SHAPE_Area" false true true 8 Double 0 0,First,#,bygning,SHAPE_Area,-1,-1;byg007Bygningsnummer "byg007Bygningsnummer" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg007Bygningsnummer,0,2047;byg021BygningensAnvendelse "byg021BygningensAnvendelse" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg021BygningensAnvendelse,0,2047;byg026Opførelsesår "byg026Opførelsesår" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg026Opførelsesår,0,2047;byg032YdervæggensMateriale "byg032YdervæggensMateriale" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg032YdervæggensMateriale,0,2047;byg033Tagdækningsmateriale "byg033Tagdækningsmateriale" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg033Tagdækningsmateriale,0,2047;byg037KildeTilBygningensMateri "byg037KildeTilBygningensMateri" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg037KildeTilBygningensMateri,0,2047;byg038SamletBygningsareal "byg038SamletBygningsareal" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg038SamletBygningsareal,0,2047;byg039BygningensSamledeBoligAr "byg039BygningensSamledeBoligAr" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg039BygningensSamledeBoligAr,0,2047;byg041BebyggetAreal "byg041BebyggetAreal" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg041BebyggetAreal,0,2047;byg045ArealIndbyggetUdestueEll "byg045ArealIndbyggetUdestueEll" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg045ArealIndbyggetUdestueEll,0,2047;byg053BygningsarealerKilde "byg053BygningsarealerKilde" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg053BygningsarealerKilde,0,2047;byg054AntalEtager "byg054AntalEtager" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg054AntalEtager,0,2047;byg056Varmeinstallation "byg056Varmeinstallation" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg056Varmeinstallation,0,2047;byg058SupplerendeVarme "byg058SupplerendeVarme" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg058SupplerendeVarme,0,2047;byg094Revisionsdato "byg094Revisionsdato" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg094Revisionsdato,0,2047;byg133KildeTilKoordinatsæt "byg133KildeTilKoordinatsæt" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg133KildeTilKoordinatsæt,0,2047;byg134KvalitetAfKoordinatsæt "byg134KvalitetAfKoordinatsæt" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg134KvalitetAfKoordinatsæt,0,2047;byg135SupplerendeOplysningOmKo "byg135SupplerendeOplysningOmKo" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg135SupplerendeOplysningOmKo,0,2047;byg136PlaceringPåSøterritorie "byg136PlaceringPåSøterritorie" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg136PlaceringPåSøterritorie,0,2047;byg404Koordinat "byg404Koordinat" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg404Koordinat,0,2047;byg406Koordinatsystem "byg406Koordinatsystem" true true false 2048 Text 0 0,First,#,Boliger_o_a,byg406Koordinatsystem,0,2047;datafordelerOpdateringstid "datafordelerOpdateringstid" true true false 2048 Text 0 0,First,#,Boliger_o_a,datafordelerOpdateringstid,0,2047;forretningshændelse "forretningshændelse" true true false 2048 Text 0 0,First,#,Boliger_o_a,forretningshændelse,0,2047;forretningsområde "forretningsområde" true true false 2048 Text 0 0,First,#,Boliger_o_a,forretningsområde,0,2047;forretningsproces "forretningsproces" true true false 2048 Text 0 0,First,#,Boliger_o_a,forretningsproces,0,2047;grund "grund" true true false 2048 Text 0 0,First,#,Boliger_o_a,grund,0,2047;husnummer "husnummer" true true false 2048 Text 0 0,First,#,Boliger_o_a,husnummer,0,2047;id_lokalId_1 "id_lokalId" true true false 2048 Text 0 0,First,#,Boliger_o_a,id_lokalId,0,2047;id_namespace "id_namespace" true true false 2048 Text 0 0,First,#,Boliger_o_a,id_namespace,0,2047;jordstykke "jordstykke" true true false 2048 Text 0 0,First,#,Boliger_o_a,jordstykke,0,2047;kommunekode "kommunekode" true true false 2048 Text 0 0,First,#,Boliger_o_a,kommunekode,0,2047;registreringFra "registreringFra" true true false 2048 Text 0 0,First,#,Boliger_o_a,registreringFra,0,2047;registreringsaktør "registreringsaktør" true true false 2048 Text 0 0,First,#,Boliger_o_a,registreringsaktør,0,2047;status_1 "status" true true false 2048 Text 0 0,First,#,Boliger_o_a,status,0,2047;virkningFra "virkningFra" true true false 2048 Text 0 0,First,#,Boliger_o_a,virkningFra,0,2047;virkningsaktør "virkningsaktør" true true false 2048 Text 0 0,First,#,Boliger_o_a,virkningsaktør,0,2047;DatoForHentning_1 "DatoForHentning" true true false 2048 Text 0 0,First,#,Boliger_o_a,DatoForHentning,0,2047" Contains # # #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=\\nystorage\Geoinfo\Faelles\NoBackup\Olivia\BBR kortet\BBR kort projekt\Default.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>bygning_bbr</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>OpfoerselsAarti</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "Ukendt" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "Efter 2010" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1990-2010" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1970-1990" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1950-1970" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1930-1950" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1910-1930" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1930-1950" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1910-1930" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1890-1910" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1870-1890" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1850-1870" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "1800-1850" Python # Text NO_ENFORCE_DOMAINS
CalculateField "Bygninger med BBR-oplysninger" OpfoerselsAarti "Før 1800" Python # Text NO_ENFORCE_DOMAINS
Clip "Bygninger med BBR-oplysninger" kommuneinddeling "\\nystorage\Geoinfo\Faelles\NoBackup\Olivia\BBR kortet\BBR kort projekt\Default.gdb\bbr_AOI" #
20241229
20480500
20241229
20480500
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.0.52636
BBR_kortet_WFL1
File Geodatabase Feature Class
dataset
EPSG
4.3(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
bbr_AOI
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
SHAPE
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
byg021BygningensAnvendelse
Bygningens anvendelse
String
2048
0
0
byg026Opførelsesår
Opførelsesår
String
2048
0
0
byg038SamletBygningsareal
byg038SamletBygningsareal
String
2048
0
0
byg039BygningensSamledeBoligAr
Bygningens samlede boligareal
String
2048
0
0
byg054AntalEtager
Antal etager
String
2048
0
0
OpfoerselsAarti
Opførselsårti
String
255
0
0
SHAPE_Length
SHAPE_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
SHAPE_Area
SHAPE_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20241229
iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJztvet2G0nWHBp5qSoApCh1z8w3to/PeQi///KT+JfttfzNN5eW
xAuAumSeFbEzgSKaUndPjxdBKXcPhiQIFAokK7QvsSNizjmjRYsWLd5AxNc+gRYtWrT4tdEAq0WL
Fm8mGmC1aNHizUQDrBYtWryZaIDVokWLNxMNsFq0aPFmogFWixYt3kw0wGrxiyGqXspw3iM7YAHw
NAP7MePfwgg3dFjgdf+UJqQpoXcBfYhwrtL8EuDdC0f37TfQ4ldHA6wWvxgOjv93ipnANAHjNOF/
TwEhefgOGDMwjg55Duh9QB+B/7ytTwyAsGspB30JvFq0+Ho0wGrx64IAUzBmnjOO84zjPOHfpy0C
ESwAS+b3PJhU9cFhyMAfBiCUJEoJVvZIKcG7pIytRYvfEg2wWnw9Lha3km4ZMzIWZNxnICyASywd
gcTKj8gWofLxfpzR9xG9F6bBOafbzw7cosWviAZYLX5TELAWB/gY4HPEkAhCGZHJUsrwPiO4jL4P
iBH4dJyxyR63W4/BEjF47+GSAzKf3H4BLX59NMBq8csIVSo35kTMrJhhpUCkCdilhOA8IjJiyAWQ
gNhlhOCwP5YScPJAB4GWnsn6kDUkn9Cixa+MBlgtfnWknDAvC6aUsSSvvpZKPPasHNAV4FJ/ikiX
M0LfY04LHsYZeQnwg0M8ZVWth9Xit0UDrBZfjwoumSC1CLCWlFn9qTScUyfYWbJDR+RyXjSINKuZ
hTAA4zFgHEeEZcHgIoY+QAlaixa/MRpgfecxvpDrVIU0YkpkAZiAY844JIfH1OGQMo7Jid5wzE6P
79wRDgti9Ai+w+wipgzs9gd0OWAKPVgVfiQlYgFuQ8IusN6c4did56tlZm185QVzTlh8xoDNK/xU
WlxrNMD6zoN0T/Ks/AqyiFeV75kdp4HAnB0meIEUP58zBEi53HiURGIpSC619IkfUo7KupiRKSub
+byMMZHWMGMbewMpoSRBix+8GvMtWlxGA6zvPPwyWx/Klz+FLFKCfZqBx7wg5YDDknBYgrKs/Qwc
E4GrUBnYhCeIwSHrVoIlow/6Hu/TYx3Z8MzWsj4fovG2SIs4keJ9WNO+WrQ4RQOs7zy8W40AV5HY
WM8JD0vCnBKOyeOwwEBrcTgkYCHIRGZXGbNjQegwuoCOAFiOM1WwWpPbs8cs4pbTMTko7Bysr9VQ
qsVXogHW9x5ORASlPyzlRF0gYz0lLMuCRzXYPcaE042lIMGKHSg+m0322TssLpQC0yaHvH9hGqXX
MaY7QYkQGZTROYyT0SF8cAi+1qHeDs4vG+2hxSoaYH3nkV1ZWl4IVCzuvEq8kV/PzJx6lXTMohJL
NRsEiijKnlQmqngDOva4BEPigxLRMpaF/SjijkPHj6RjFdDigY7TaLgk8ik7aaUWzJw2vvZPp8W1
RQOs7zyOvM3AYVxUAhKUCCRsjM/kdqbwrFrktyPvKAO9hQ9igkaIYs+K3yKGcbSYFrgcEbJxr0Qu
zQ71iDkRBplMLRjTBK9sKyCAjfgBoWVXLS6iAdZ3HntSFqaEp2myjInI4tmX8ljEp2KpaDwrVmrK
qFwWFYElXmJj6vQ9y7oIXFy9yWTBE8qyZofwaujPZbJYYDAQsFh+Tji6GTkFOFEjhrZu2OJn0QDr
G48TRSEx90mqyWZETCrhgP/xmfjkEf1WGQ3/IKi+EHJCZKO9L3QEkUN5BKZRTtPFvMw4Bk70AmL2
8AsQE2/cHxzR5xm7eG8L0aGHj4PKy6dpr2zOx4j3fsJxOWDKR8w+YyJ/K03YuoTOb7/4J1oBzxap
W3wv0QDrGw81v8l54gUemO+wMQ48LMD+uGCamc2Qh2V/DLz+mTlFZlGe2JSQs1NfSr0sNdyNxsD7
g1pYGYFrOHCIJDe4CSFP8G7GkplRMRWbgRQEePqaAJc9pmnCklka5hObfsoTujyj6w2YGii1qNEA
61sP9ZFYxjlkF5RVPWbg8yHjfj9hSr1AIRJIClh1fhE1gWUcwc2zqU6iqLWlMLPcy0EN+4HAxoY6
MgY3o8OEDkcEN4JUU04ac2nKZz4P7FFxB5GZGTVoTL3B+4jsFixTwjRPGNOI6Cf1tBpotajRAOtb
j0yiEzvkVgY+Jkq+AJ/HBYccTOqFE0BxoMglKFkWikyMlpuz2O3cpClqyfY47zB4NtEJcnxswsbN
GDCp6AyZ2VIV6ktIiVoPzJgiOoKViwg+iNLAUaKyt8noFHOe9fFEdbgo//j5qQ/W4ruJBljferBm
K8LEnAh+3AMfxxljjiAViljmi+JC0qIO12bYaOdEzz6yZW59sNIUkwaWTQn70veiWsNA0EKiiowy
NkLh4ig5alSIrPKQag5BmRwzM2VgKhRJpsjPelMvgVIrD7/vaID1zQfRgp0l4GECHqeEA5mhISN2
xkgXJqx2A42xzsyJWdURqXC1VFlSpI+GFPx+MG4VB4vkVnFR2uigzNnsOT5sEVT5TZjnI1K2VSCp
OpCIejwi+QWO6Ztnv4ytNor/Rd1ySecaULVgNMD61sNFmUPcT5Qr5g4gwYL9I6dq0SgILPksu5lI
PeDycSkNb/gAskQDG+pAl5j5EI6ASF8J1oMiis6inOqgXNPJZF0BXdzBh4TEhnp+RFpImOAytEda
JoFTyosyLcEcsy/1tHgeTs+7zLQqeDUQ+/6iAdY3HsxyDjPwcJhxXMiXCohco6F8yzyry57URDc2
O9MeNsQr4XzrI0LwBk6FaxVm0iDObPekspHZkU0Uyd9iZsdJYuc6Y71jbzpZacSiAQDJXR7bd1s4
KjgsSU13KUeU/UYqlbbdnBbraID11kN1F7mbczXQQmAHSeLrwN+ouMDsKkc8oGRSzGWoGJp6a3EJ
nEjyNIpC52Y4r84VHL26pOoADC6hDxlLoAkFAQ7YzhnbOOMmHBHzHnkZMeWAJd7CdzfYEaAo/JcI
RDdYpJWV0XUOwy5gOjr4vEWfNyeiKDMnZnrzuMfW755JzdSJ4dnMosX3FA2w3nqUa9kUrZihkAZQ
+uMO+Hiw1Zsnqi6QpsBysDy1SlDp+exJea/lZLHTC2BROFR/JKwMyx6hJzWB5VoR+COgcL1mXiZM
0yhias5HeHR40lSQpR1TNJ5lQF7UEdOC9U00WsVLYGRlK7Oy9KwMtP5Z29v5HqMB1hsPrvLJPovN
cMuRJF18n4D9Avz1acaSkigNWl4W4BRCabn5MikkBhhgMeWyySEb8ZXmwOxLfzB8UNknpF57yiPm
ZcbC9Z55QiLYBd4/Ya/lZwIhJ4MbRDep9BMXK52B57JHVW9aDSr9NYaO1bhZ3200wHrjMZU6KrLv
VMrDYwY+TsA/pgmfOB4UUdOstSqt6SyWV742jFIYkJnaggtsfhc2O5eXeZwCYowjGexstOvmCihG
a5p7Al7U8zhZpFRy54NRKXSzSWE5w9N70ud6DZ639bKsn/XrG+5tdefbjAZYbzxYimV1w61Lzg8P
I7lWC/5xWDCDU7eoEq5mVpX4ySBnilFNUO2g5EQtyEvCthsQudcnygJXcciZKi9UsjFjrfc6WMx8
JM+HPbKE0HdwrCtZBpbSTs/hOhDXEitivQBC4myx3OT5vNC7+iVQagz5by8aYL3x6GaWX5YpMcH6
PBOsOBXMOE5AiJ0qOPGjCulTzXmhVwUqgkFZbC7qCtrtA2Q3z3KQwBYcqQtmgEr44iP6jqoKXMxh
tsQbMy6jgro5I24jHPcK5wQnkmjGEh0yS70Z6Lrhi030rzHZRTgtIFYpEJdM+BbfXjTAeuPRiwhl
5hAfE/D3AzMrkkN5b28rNlpKNnIooUY7grzAo5cdVxUxpmQMMx8DAVuZoTVXpNiMmvAsEY35ztqS
H/tItnrANHfqlSFZKRg4BBB1YYZbZvic0XONh8cPtlQ95wUx93ofL4HVuhm/Bq+acRG0SC5lVNBa
RwOtby8aYL31KOQoNt8flxkfx1E0hiWzlDOiFHtGoi+IZsWUiZM9dtiBNJ4Bi8vMmjeysc21Hfau
9kfrN2lyyPKNXK6sWxGvUSk5L1RxsCkgS8eOmZ33eBoP6HkOOaOLAUMMkJEO2fO5vP4LfakKUpU0
evm59g3n+UWgavHtRgOsaw/2f4g4jDKcMw0FdYokQJUw4BN3BI8RTxOZ7QZKnMaxWS6DCDaMCG6a
sJFaYCJX3lM0z2gQfJ2+87jpgQ37U8yKNqQkUBrGMjOijXpQCOJicTVnyRNiOhSJmSwiKA/quw53
49GyI0fjCvKxIvxsINPnDp/2BwzDUHJBKzm7jn03U2kYk2V67KqRNnEYSTyNSLFD6gf044RNT59D
6Z+W3lqULj2npcPr/vZa/IujAda1B4GGsSZPFeNRgoz3Ax5H4GkyRjtxiBwqlXVcoVGD69wPso/n
jCTx4i8qDcKwpUpXkUgq5T1iH1xYpN7Ar7N4VyYvenggg33BJgb0PftlJkqjMjRGhM6a5uvGeT0P
3n78cHf+ejGlhsNhOpV53UAjVZaSEXMwqgXBcqQeVypZIncfE+VtCIT2PoVfz99qi28gGmBdeTAz
YiYlfnqRFraPvBK9nJQ/T2y0J+xH9qbIefLwoUgTB9OyUnuJKgzP+E70DeRmcjGMoIwMrejVx1K3
XVmKYy+LphCO5ZvZc2GZlKX5NKMPDpuhQxdMkG//eI/jkdoQQB87gRBvFbTWgHVzu9XHvttgtzNW
O23tpdHF5ed50rnw3TLRTIn9Ou4icvUHSJFiNrMyUcrXDIE8LUKY11J2i28rGmBdeVjxxx63WZRq
LVnlnSVb/1iA+8VA67hkZKowRJZqzEaclpMNrPAiFUA67uxdiWJgXoQyRpVEFftMThwqstN5Dsyy
+AgtJWeHjWdvKmII1uc6HB5x//EfeHp4MO5U6E+AVWkK657T48MnkbI+fPgg8IpxEBlVjw8RfhnL
eRudQrQI59GRiKp+GvtnQes/tsNITS724Qistvzd4tuJ9tu88hBYlc90nSu9IkHTGt2fWA7O9Au0
DIlApSa7MI39p7KC8wWaAMtAtbxEreLispdYHzOromSs+8S9SpwWaq1ZzHX10+ZZiqJYgjKxPgbc
bLeSm2HQJbqWhJWCsN4N7HqCTULsBmWHPObTkuXGs4nAXb/Rc5d5LFma1XlUQeWZTJWyXxp8gY3/
U3l45ni1+DaiAdaVR8Wok/AmscFBzstSYZisL89ezsDpnqdCQnkoAYh96LVLTYnay6qWWzXrYSOd
bsyRdCrxrNgTozoDjx1NnE9gYL2x4xKUvbEUzNlk+zabDTY9bboCdlIpfb5aU1+fQLS9u8U4sWdl
ztJpXjDmANdFpK7Dnuc+L5jHBfPxYBrwLAtVonrg3VbEWBFMfYBcDiUwmDG0fcNvLhpgvYFfkJEN
zoBDgPpMcugxYy60AJVkBBU+oFhtESNmpmEngHquesBbCItWaWq2Nc0ZT4tRFQ4BuJPeO6WKKUvj
0Wsv0F6A+u7KjJYF40RDC9PDWsQdZWHpRFytUcvBSktgjJS2CdQpdRgpM8PnuU4g9EijjMMRmCdg
OiKxtzXVTMusx1y/oB92CN2NdL5okDGmWZI4/O/86i2+hWiA9TYUjq1DLnoARFvYjzPuj+z1UCQv
qBSjzpUUQwvfStpUFMarPKeTFrodksDR0RUHCxIzJgIcyzF+nTxGlnhuMr32riwx0+iUWlos82j1
5QPSxPNIRhRl/4u9My03E78MmPi8WhJWsOTt48MjNsMWrutFfp34+hk4jqOa7+84CCTBlODDY2T2
r8hHtefvpwPQ9zYk4Doly+XFo08OczivHrX4NqIB1pUHyz+UaZzraNHl8cRGew54Ch1uRAL1p4Vi
lX/kV7HvQ7DydskaQNRyrBycx06lpCs29VIbZS8pJwHGf2DAu44rPsBOmJnhllHSyS5NOGDB/eER
83HGptuhY7Zk0hACEnRFXoauOCwYNQFY4Onm47hruMUUNnicAz4fbXE7FOnmOXjsfcSAEbf5gNtA
+kSPNM845AmHY8JtusX4wIb+Hpu7WzChm8YjjiNffoO8/fnKz3qRupFO31Y0wLryEMRwiCc+lcOR
pdqUrJQqmley/SuPr/dRZUF9aak1nHtU5+zKPpIxJeoCiaJUEVUvzIxU2d86HA+iB/iF+zReztBy
2CEQkrk+0SpsxoHlX+iQuw6zn1W2jjFhs1jJ6k6aViZTU89JQoCUpklUgjCJHJ8MgM0XccKAGduQ
sXURGxJWA0s/am4tGPogqeVlOmD/aCC9PB3QZ484T9hs3rWVnW8oGmBdeThypIQ19BT0uB8XfDou
2C8dFq64SN7YaAsnyRiBFlGGIPdzRYOqg8WJG4FG3y9mEpuYcRNmbDx1HkYcEvtjDpsiAD9NTsx5
seXJdUpstDPLi0Ac4Aa6n3qBEJVFh5mPS0bL4Huh+jKb9pKtcVi01kO2/YJNIIt+kQkrfREJRnuC
ks/YwWPLCajoDR5dR4XVgLubAX7M2NNCbB41tUxp0hSTXPyaTa0nky3ebjTAuvbgWoxca6I8BX86
LPh0yDgwA2GjXSnVpfhd0auqJdzPFovPk0PqvPO7HcHE09prxNZN2OGADjPe794ZY56KC8mJYU75
4on9sURyZo9D2CBxxSd0Ktlizf6oQlrsvlIivMzqbyU23zlRJPBFyjmTfJqwi3TfyQiUtaHnYR/x
VExeO/HBjP+lAYIvTHqfMEQCGRn4DolrPPJKJMXCenjnn0tbjn7r0QDr2oOZjWxJzQD10+iwZ9Ob
JEyCB40lnlEWquTKWpCv1oHnhvszcFP+ZjbzfU7o84ytW9BnllS2WsPr/rjMOCwex5SxzzKlx9hR
Gj6YakQMCMljyJGtK8nJfOLxqdiQZwGOJzGVPTISxVxAN5i4M1//JpA/ZfZh0t7yC7Zzca7mHqII
qGzqWxPfB2PF801x8BA6+3NmGZkmM2LViV+oObS+1duNBlhXHrSX5yrK58V0rjjqZ7ala2/mKs0Z
gc7ZVFapuLbHUtPdmk/62iokW17mp5y8kbdE5vrWZ2z8YlpYasbbSg2zI4LUkS7SrsOIgM9Y0AXL
lo4ESrrfUAc+UbXBY4kdfJhE6HTc/UsLsovSluf76Bdg00UM0oynGnySygMrufE4qjel91TA1gx5
InoCFsvQ+YgoqRwqmdokkuLz85LE2SJgqelPsGxl4ZuPBlhXHtl3IoneH8i7MlKlj/JURloOYHfn
FFXNQVe2nn0qC8+AZdnGOgOT1bzccjx614HGXD3BzE1q8hMT2buX6gMBlIDFDMt5DEc2vj06rvGk
BffTjAck9OwhRVILPGIexEz3aSxMfS5P91q8DtMTtv1WPDISQ0mXcH2P/Zzw+eEJG5aIvlP5R/0u
o2ZkRAEWV5F29n7J9KcGmCamg7I+T2DkStGKStGyq7cdDbCuPOTCnKjGkLCfmeUQHErvKs2Y1MQ+
P75iVb1A6wKwFo9L1sVQT57LxCzXtKPHpjgzFJZOXcnD2CRjs92eQFoCz0eNcunJA++mhD7aVI9M
9aeZ7jwz/GBTw0iaFHtXjqYUlLtxep7dEm7mEfFmoz/EI00s2KeKHfZLxk/7A/683SH6Hr7ri/mE
6cfT9p7jzRSyzFmpjUWWvFyj+64oPfQ47g9fVS5t8baiAdZrxzJZ97yYhyrqBcZmt/M43B/x9DAh
hq1oBceJS8jAsH0HxxZOpTMUlxsao4pASSb50UTuInXdSYuyPecTD7Xny6udFEWdIg/qCFf4T5zY
bTDRJmwe8TllPPiAfQyy7yKj/HC7AV3mNyztfMAtFRccdwdHzNMeLuzwsET8bY7o3RY/hBHvw4Rd
WLQ7iLjDvz9OOJL3lQat3OCeENrB3fw/+Dgs2AaPW7dgmw6IAqsFmZy0SDA/wHcklXq42IksS9kZ
ltKUwbnZJQkPOkcZHL5X8sHITaP2fLNpfWvRAOu1o0zznt9X73BSYnhYOJ2zXlY1kKj6Ubww7eui
1a7dvYJ5svBiS5vSx3ZxFi29Mx9rF9UHm9g0yk7gE0UFMBC5Hw+Y1PA2eT32q7occVMY9VzX4/EF
A5oayhBM3oS8/2FaMLJRTyBxwJEAHDoEmlXIr5B9sSTi6pgp8Gfvu5pdDPMk8CVFgpmbwIrsfDHd
o7S/pN4QuZKdMR4XSS8TgKn8QFNX00Hld/kjsa/P3bwWbykaYL1ycMRf1RgkjXAR//EE/DR5URoo
QSxDGq2+GPfqXAIW23ipqpj0CykAkZnHql+llnzR1GJMPUs8Ho+TPJIzvfSwRik3LPgYTLW0ix47
x6Z8UH+LwMYXHZm5FGlk8r6YGZH6oDkfe1UEIThMRXZiT1UHiQsShEzahlkVwXamVb28D4sIH/+P
u5A8P0+tr2InRvqC9HVModR3pvtFaZxpGXHUmtAgL2tmU9IF41dZAq1yEGKprJ9B08x6U9EA65WD
qzYEGMuTeNmeHY1Ziv37E/A4R1EJpEJQeKQECXnQcK/uZNPFaV5JnyhRLO4oCZRr8dICVgWx8kQh
rFk8rF30uCUwRSdGOcunDx37WU4GEgSq3gEd7buoV7UkjNgry2NvLaPHxIld2eBb1HCnkUUFSpas
DhQUTS5jFNgY4BoWB8lXufKHqaxtJhgShZlN2psQ4PHnprcp8WTM7O8tlaNl4JbSEd7dFEQnEdYE
EamX1eJtRgOsKwnptGuKxf6L9ZIeyLuaIBUDZinMEJjZSIGUZRIvUP4Gi0CfZV6GDprKZetZlZ3p
Z2BlhvUJfqJhF7AJHj90Hh+USVlTn4qiAgwRVHluRMtZJSJ3+bLL2ATTukrcSWRDXvLJXhNElnsE
tx7kadkiNwGPPjls2hODKcQgTUKWrFw/9MBAhnxxtN4krhhxUkjagkk+29Sv6FcQmCitnE1WmXrw
VIiYBFqcjBowE9SVSWa+XxtcNNh6e9EA65XD7BwMPGoKpRWcBfjHgeUNpVdWfaflLKpXBDaNKVAl
SElDKtrmBK1zg30NVuZDyIb+AIJOwF0P3HUZO7cgUv54GkW+7GkCEclzsoncpPOjSgPLuYyFag1W
hKoMldOOk31r8Tak47NT45xcr3d+xo1US4HJBdw/TcYZ82bUqgzOEeSMPLoR/yIjcsmbyg1kt2s5
2+RtXOc1IaRmFoFs6DtkZnaOfTlmgaOUVAWmRfiPFmMEVRMBbPGWogHWa/8CzDnrFLlkHxTm++uB
k60e0a/7TpyC2WNZhtWtZ3kKrljuzEgq10o4tsqsbNHZQC1EOuVQqC8hcr1mOWKeR6R5QiLrPWzV
WdcaEKkCRoJYlWauQJOVo1T7pF7WwEws2woR+VAsEklKfR8ybrylVeyR3Q5lKZopHQHJ5dIjk15q
+aGcFAntsTwZ2yTCLP2doL6UGcVyKki1CpsFOhzhxfuyXh2BnsvezABjnUC0eDPRAOu140QRsu55
KuXLgRSCmUu8zAXK/gzXWnSNkSVeJMtrclazq6J7LtBif2tFQRJ3i8crGZjUEsKMFDxSTJjSiJT3
wHKwsrLzOHK/jzUom/eqwLhv6BCz6WOdTCx0I9hIEUvqC2yC06peU8RMy62MWz9j55hV0X4s4GYz
6E3IuUcZIdd3eJqkVAAPI/t0SV9THkfT0WKHw8+ZRRGsyL8iQcz4WDR8tXPuSLCVNhfhnDwuPq/6
G9p7avF2ogHWa4eca5hVZQzMLBYPJiD/ODr8T3+LDyx7tMxMx+RCYSj/J+pWSUJU/pXFQDawZWzK
8oqGEWShdyRs2nRsk5MynZ3P+KN/YH4ir0Cqk44j11gGdF0nM9TqrGzFJZMb8wvkLqNoDXKR5n5g
VWKoyqfsoTm8W2a8Kxo3JjNDcKLgHstHhyPla2JEx3pPSqRJO4OVlf6XwKkkcOMX3LpZPCwjQgTM
XIAei4ppyb5ix1Z9ceihk47fCnCpnGpmGEe4ieS1iKXruBz07NfR1B2uOxpgXUUUNxwGHZyp0z5b
2cZMRndfsNkrPUEyMiXKeqBlKFWxoagyUGmBpeXgEm5ixm0Etjx++ROoJhE0NV2bRXxpnWW9p/il
dZe1wuiX4nIhef0cnY9KTGadnZQbaJDBUo+5kWy/Tj8fK3Uvo+4Q1uNW1QYtT7/w/tbvq8X1RQOs
1w7xgYzRzmSJxMmPhwlPI4X0+pP5xJrsqaKrqmayrKnIpAb+WYzPDk/Okwnycfp2Gx0+xIx3Mcvd
2S0mwVIvbK22lKyKUeVZnp1yuahfutDXwFNtvb4GAHWFqL6f+tx6nNswCayOOeBAYqqsxRbchoTB
s4xdc9eev47OoXgx1vdW71/ry7f9wrcTDbCuIKwhbhZXDwB+Oo44jg7Dhk7K6weeCaLy5Cuco5qh
SbHF+uGnDIu9Ii42b7zDbQ+874B3IWNDLnpecCBbfqXoQOBgH+hLygZfuri/BEqXGu5fA6u1K3QN
loJPmUJ+PQ5kZpHCQZt7yt9caFxVjS/NLL8AqjWq9RgVH17WDGtAdo3RAOu1Q6Bi5Ry9kmmI+mnm
qkonLlJlqZ+uYZWDJwU+WzPxZ6qCLTIbCBrPknZXDne9x/veMquBbHHJEnPVxTKPKsFCsGIwy1pn
WjrVL1z8l27Ol/d/LWrWs7YBWwOXyKOiapgUBcGa8tBUkaAHY3zp9Vc2Z/qJXJR51bWH73egHvTq
PC7fW4vrigZYrx4cw5O3ABwyNa8mPEoPqtNkrZDTTyGzLmVj5T/tCBbelTIOW8uRDjyb4lTkpD9g
BG4ClTuNoc61HV78FZg08ZtN9G7deL4sCS8v5uroXJ9TS8sKEGt7+stQkzzG02NqKbgGGHKtOCll
GcgzIaGWU8gDreoT8EGgW4GyZmrrc32uCVY/miihnftaeqb1sK47GmC9cojSWBrH+0PGPf39Asu7
YMouft0XsufUjMtoRFU11PgNsqcndaHIFGthhiUgLa+43kJQYjlEnlbXm/hdya4YsvFaNaR/8fzL
xV/tbpUcAAAgAElEQVQvehmalgZ+BYH1cV6SKl4D3vo5Og5JpQHYeZapixazCVaUdqaQ4LvluAKj
wukq53H+OT03cn0JGL/03lq2dV3RAOuVwzjiljpN04LDvMgSS/2osoNnKztn1ro9vDap7OuT82Bp
a2lFp5SEBCWt8zCzmkgJ4EpPj0A/v2IBXzOpdUm29jRcx2U5eHlbf++ymX4Z9bUvX7/2mBi9JxGV
fCsjqNKX8ZgjJgL6M6ArU8vLn3EFv9VAYF2Ktqng24kGWK8cfnlCDu/wcfH4yz4iH6Kmd9S1eujI
Dj/3pCp/lCGdc664lCyrhgka88JnmWerLPwld+mIzics20H8KLo5D8cnlaH1Aq4gUadoLNcIJLWv
RW5WLRNr9rEGmvUkbl1y1cfxOPy873sde02LWButrhv+XGzmKk6gsURy2JGzxj3KWWwr/O+bW7in
R/ypi/ix91ieHvB4OOp9LkMnqWaSUSPtwig7T80s6n3RKm2e8D+XjUrlP2WngYR6hC7hoPWhuNZz
bXEF0QDr1cOUmUhnmFlanYT8ikRMIY6qV7WiNVjmVekMXw6JPJRdHgEDV1SUrVnJeNJBX437GWvw
OZ1pAZ41qF2Wjute0Evfe6l/VI/9UrlISWaeqYC5nFcnD8OESM/DmXTbiBEUGVxwJNNdBhgJaX9E
oGRNmRpaw96oIzTRGF3AqOVsj4mE/dU/CHznTS/r+qIB1msHpVlk0X7WTq8ifQzeJ5GEsnNYm+vM
rnRxrx/8UjAB8nSesfrSmvKS9NN/65LtpQb5GsT4PWZJvNVeV83MvvS8S3CrcUlnuPz+6TGhE/Od
Hfbab6M5zlYSyTwXrvb02hb4lA+SXt7S4FXiWwf0NwUEAzW3Ao6zw5OmjFEcrmNe0KnEpOIDibT2
bwAHHvBFxKvF1UQDrNcOx2034DBDmldcp9FqYDIbL9paWf/KpoKURrFM4NeN3glUsoWnPpaeW5aX
1eg3v8AaL3GialyCVm2ws0xkrEHrJfLougkvQ4nSp6JNV23yr+kMJwAUoCfMJIiS3sBl7ZykuJBh
BFvXUUkCGKm10w+y++p5PuMe/jbBs7T1PY4z8HFOeJy8RAbpozjlBUeeR7IJpGngc4WopHSN4XBV
0QDrtcN5ZQU0b9hTirjoYeni1qVapl5spJcLiLwkgdavuJgovEcdKTasCV4EQpWIArB06h1duspU
EKl9pwoo9f7L8u9rTfX6vXWf6/J5l1O70/eKtLFer5TLZPGzH5d9wv7pyaRmul5WX77bILLXNtLi
wuH+OMItHktYJIT4efIy86Asji2Da9sSY8rqGxLHzwMMprYtw7qmaID1ysGcieUgp4P8134pgnuS
waM5abl8eNlKY6oojGpn8Fccv+8cBi0jiyKORV41lPlkv4x9nfP0bN10X5dyNSpg1azqsnG+/lgB
sDbsL/th9TGXvas1cArcWPrx3AOF/Pj++QOiTit9Wylnc4/xieC+Q9wOItByEfuQknwSPz/NQKQi
RYcD+Vvc05QcDeWjWfoFo4CwHE/ARBFBjVovdH9aXEU0wHrlqPuD1CGX403dCiwZlgsm1KcGfF3j
KSlHsRn8amyCQ18vdqocJNOhEgPMsW/zHLAuSZYEpdq3quB1ApMQTs3zev+aQ/VSc35dHl5maPUc
GPX4eX6SnI6lk5XuYEvfzkds+nvMD3u4xwldfgdPtVHJwCccuw5PC6eCHZbcCaj4D4I0twIZ9Ozr
USXCS2qZv4elyjUXZn2L64oGWFcQbKxrcib1BetfMU7cK0sqTlGHg6pYfuHYsbNMjJkHkwZd8HKk
yZip8rlav1mXZOvSj2DFXtMafC6B5zLq/czG+BrmKXgmb77UK7s8ljK6PNsmAJ/Dnh7fg+SReQ4Z
263D4WEGxgO6bgfQXYg6WXR/7jz88F5ZmRltmMQ01cQIVoQwEmhPOoFFmfTUam8J1tVFA6xXDvav
/vY0YcQGd1uHeZyQ04zUbfCQHLpCa2Cc5WLseYxME1NeiIWrxVKS+3eR4nlUjjqO+PvxAT8dHkS+
3A4BrgvYO5ahCZuZWcoWfbeV6cTCEk6ASePTGccjX9ej63fPWOJc7TkcyTyPJ/VSXvk0Zk0Llbf4
+gmxu5VlPIHraf+Am91OH9k8P44H7HZkOmXc338q/KxOVA4+/nA4IHZb66OlYykryeciiQF6PNwH
OteLBT9sqJGV8Y+nPQ6xx+0ffsT0aY8heGxZYi9H+k0r46QzNc/3/4QBnw4ZP7HP5YGbwUQQbXmz
OGK0uJpogPXKISX3Wh6dRPhM3E6qCxd7hJehFhHTAe0Ulv1CDQHdeVdviXCB4sbn3hBNJUjIrOxw
ZTbrTIkqn9R839iunxaj6QV/Ic9ynI/n/lXRwuHk8VReBh7Hsqu+25gETrApYd9vNAU1egSzsCg5
ZXpH8zkkv6ayK1iPt9471GtGW0WalxFLOiLGHXZsTvHncJhwR4pDDBIydLQsy0lL05Joph/jAkwc
RLAcZAbXrL+uOhpgvXKcPAXLv+QCAkJPNC6Q+Ffrx1/gSk60d2e/p3bh2dspBgtKvSgX3MH3g8ka
R/Pl40WeNAFkb4mrMWaDZcDFvpSdnfcEK/awxmcNdGZAApjuvJJjpaIZdC1z5WxZ2bnfH/Wcz58f
EKJT1lWb+xQN1HoOrbocM6gFg5STAxbKNq92FevntVxlpkYDC8o7I00YInA7RLhxwXLc47bbmLGF
VA3NWYjzUa73cDI4LuwfSl1Z7kQEMK0ItLjKaID1ykEIYOObaZHcmeUcQcUDu4jqcO3k1LxyftbH
YpFlGu2mUU7wq715XpDRd5zew/kBkQBG/5h5j6CejUnKZPZyak+K6UZx3RnHJ4HJRAfmslvoma2R
Ie+TwEdAQ94Y3Wr4PTXJTUt9nCYRPz99/knA9PnzR+x2G9zf35+Ip5vNRj2yrhuU+ahZ7y0LY5/q
S4183c/yN1KT3vSiqeywZdZFYUKSQpcJvZtUJjtmiS7TlkLA9DRlHMjmImDRY3Fi1uWQ+bN6rT+I
Fl+NBlivHHMZp4tvZVgl+oJIkgQjfAmw7JKKrlzYJx0aI2nxuHzs45jQ0bGZWRF9GujtR6OJzHLL
spdlPop4Sfdkgg17VzJY5t4eHXSU1Wh+tsrI2EWTjTJmrsHIVrHoT1FvnTQNaqfTY3E8CKiGocPj
4yN8YP+LjkCLTRrTrH5VF01fnedwe7sTgMkNp9wqYFag0/0UKOwG+M1iVmSJbtAem45qo5xiTho2
sASWmYXn1JAMd4cnSvqQykAnHbLdFwN4JrXhxIVr0HVN0QDrlaNOvdjHMqsuRpGcYRP9tO1sHy4H
cid5mVrusB+jzrxR5j8lMy+drZWsmzSx3Ajveiz5UNj0SVkYX4+O0upDUUAv9iWrWfWlSv+HpqTO
EQDMkkcezOw5sYSkQGCe0W8GLSvv3m2VjXXbd9hut+i3tkTN7G4YIrLnNJEgxFFBwLDr0dFQYjK/
wZckYvQ1BxOBPmWDDQJmNvgHA7TAJnzi4LCshBsdYnERk484ZDLdaWlh/auZ73mpKW2hkzS8uqpo
gPXKwYFctZ4yYwmzy7KtZYdcRd2/YLRQlUWLS9gJUGqv64lZAy9SNpUDffwSbrzHxg2IdNJJtPSy
CZ8yF8/+k5V/UvzsDLBK8fqMIyVQoDTzeStbWVPS3uIMH9gMP8D5CT/+4RbzMpV+1YSb2zu9BktB
Tvu63peS0OgaPXtYLFdXuvCXjHieV5c3oC1FTiMOaZYUDTlnatbRoWfgXHDGzIMuzDzpHhRxWBye
6BRk/y4YIVeZqVEbfk5zbXEN0QDrlYOgwozm0g2HX/xscleXRlas8oV7gmY1YRNCXdiFmaBl6mhZ
HMu2mWVfRuwz+j6i44VtDIFVqWUcq0ThPJWaLBEtY5Mcs5aPuxO/ilIufAx7aMzKeD6c2LE0IxDe
s8keAn744T3GPevMBY8PD9jdbMQHy1QpZKOOwMzPmb2xRJyY+S0Y8s2z93wpc9yTL5Y9JspKc4oZ
A3pmYKGQTCN5WR6BfTawOc9F54zD5LS/KdI/3XeWc6ZbdXyMD9dSrGuKBlivHD898hod4DpmVlQa
9XC515oOJ4W2pGxx2qlbf1LMK8xctC4pFwBM5ixNq3k20A+ZF+yMw+iwxxbvOuBD/1+B3myUx4UG
qCMyG+llMXgePaa8xePiMZYycLsk3CXghk48BJ1ShhKseHz1wGQAm3FLqdMQMY0HgSSTte3tu5NE
c9/v9JqcNs7zJOFBMssOT4/qz+XhoH7XgC12jtlextPxqFKvG1jafULuMrZ+gwG3IolOY0ASw3+A
O/yE6Ht0/p3Wc/YjbdRmHEm3uM0YjqLUqllISoMWoanawOVqMuFlKtbiWqIB1ivHeur3f+Pf8qLN
YGs9sod3pkrArnzlemnh2vjdiXZjif0nK1VpZU8KwCOzEilIZBw9aREes9xrzBSVpWv2I3yK8Ox5
cRLpM6bJ9iHrXqF6YQVkZSKbCFKFW1U2vM1Ig7RTCvWRyMrXouKE0STYa+LKkqRtqM/Fdyczj0m9
P04W+YfN9z0o+/MaQjylhAcCHjPPmeD7c4lk65W1xOpaowHWdxDVDcw2CNlsZnM5S210YqedF7wn
udPAhFkQeerWVPfmUrNkHJOKQj2Pci9PKeAmse9FRVMenRM6Z3uQWh5meWp6WdXNmZQLgk1tnLN8
tPyQpW3Z4VtB9zQmRFIuvE0+aU1vZW9Z0tbrMSvloMLup2gf6SEE4+iYKXo8uoSPS8bHlCUvMy3c
HzQ+2uW/FJcL3S2uJxpgXUG8tIt3arD/zgVcgk91tLfBoWUb7OUQXHgxSwFBAoLSOkDix7LXGDgZ
JE2hLGmzXPMU7Zpy0ZDy8j0cAhvgCYGmEOkAzymkpqDnfUPZ2ZdMT0BDwBFVgY1y672Zw6KNPfVj
0X6yGWYIYGSMWnTcNdUzQUMqN+Q8l89tpUZ9rhSwT8BPWPD32eF+sfdMHkfgQMKTg/b130WL64kG
WK8cz1jrK5fnf9W/8Gy4y/UrrY7LpjqnYkXy6TSYFLCVCWMBy36alK2wL27idmaOwQb10WWMRXc+
scRKE2I6InMymMnT4n3kibFcNPcbAyXuBpIoy0Y9SailA1dUEsSDKnwsnmsMwwmwyLsSMZVCORNZ
/gQoM5HNlWXrI2YfMC8ZT5NTOftxAe7puJNIIWWPyoQaOIw4aYsVhx1NRcVJaxnWtUUDrFeOtQ3V
M5Pnf9HFkkU5KDKmKpHKCL9mXStJG+tbFbCqK0GSU7bnFRK+na8a8OSfsltlu4ekMhj9YUaSww3B
0dxgjYlvssMCKjW0efjCUJcSg7nKauJYMsyOK9wumPQLm/sEEsIZp5HTEYkA5DuBKrXqF5a0PuAp
RzxMCR9nL+meRz5eUwy5OJ6a7Jnp5rPfx4pG0iaEVxcNsL7xIKdSvR0aNxTwqdJ0wiQCiFjqBYDU
1zFPP31/MNFAlk0EDMEQG+AEh+K87JkxSbKFXC4CHheYTSBwCFsrzTLtxWwXkaWhAZhJvtj3KVh4
OuuyqG2AyUb7sowyjCC00v3GiLIZ0zhi03Gf0EpPzhinFPE5Bfw0ZvyH77h3IxIaQZESf2T1z+X9
GRn2eZPdQKtlV9cYDbCuOCzL+n09Fd85ARKnewQuXrSnS1FoYeBDTpTtFho6sW8le/jeMijSCeBG
2zPkcQtxNLOZTmm8YKDFXlRWfcZMx2OzvdF6D89h4kRPi9W2p0iulACQL0AaAYmeBC5NHE3PXXA4
sZSbcEx8HY9IC7PyFuSzOC8qB/l8EkG5K3iYPR4nh4eB8Ee1BlI8stad+FY4mzQR5efRfAqvOxpg
vfYvgMRFSo0uCVQepkIDl3FnXsiDQ1xIgLTmuUBj1ZCXwz0zmsJyr8oO1sA281RxGIoxGC9mHXcd
2kU0u68XRIzhpIdV+znDSWHdLU4ZkXYf2RRnn9styFzJmZgxsWqjvA2FA9ng7iCHxGBOf+Rssax0
eEIMN0jkec0H+DhpD5BnP+4zluOE2Hdiwkc/6D3TlivxhzR63G3Z5wKOvsOx2+Bz8vjHfsGnccE+
J9weCrQxQwxs9tvPkqWgXxI8X1sPmNHHhF23PV0UzBIb4/26ogHWK0fZwNGNZYqVRaZ7mZNdYGUt
8GzHwAxFS8gQe1132TqfFXpSWmCW9PvLmmp8UTXtqkFGbY6zqX+cE44+o4sRAwmcFNZTsGHeqwSU
MauQ0b6zUCBQKExt9UGlHI0i9A5495xwOMzYetsL9F0Q1yvSVFVrNhwccA/QwI3NdxIkSL8g5cK0
Ir4MN+c1H9tvqp6NWnVq1eDVRgOsVw7pYJGrRFfm0gCXY6ozo4WcafRQJ4hnY9Jq/0WVAQVLKvKt
tBtXNKp0/+89w2oOURr0OsFCOSgtdtIGwkTRwYgYb5SpxAJGkmtRfccUjBBqDXhOGc0Rh0J9dLwx
oUD+LAjGpCOQ2hU3AaEPcsI50R+0YzmJwU9vQYIVX2e/ZOxTUFJJaoYgqwDsi+9s7dpTxA2VuZbv
N1Ws64sGWK/9C+AFolU6Zgxc9rVSri74Lqtd6NpfWRMbqz6UqX1+2W7rn41qz6fPpcxZOFDSVHe2
Y5y8gCJMhB9aylPHZkHgbmEsYvQ6CBUUnvfl2J+KPI6L6CjTzNKUmlo0OmUF2Ze9RZpxkFwqekaG
p6VXipgn9t0CDovHIzz2C0muRrsQc7RwttbNdFO3KLuSRe+e2ZrZoVmGZUMJklkbbF1TNMB65WBH
Z+eBJ8+l3LIeKLBid9hY5zVsleR51lPDFpX9Ssyv2tH/vqZ9xb6aXdXzsXM03Sh6nI6JVALayCcM
4tPbH5emhmb7o/SvSuFIUaFwrZjLaAeSazXBlqpzR6CqfffSLJtN/dQE/BxiH6URzdefWRKSG7YQ
5M0kVsnrC56LOImK+sJPc2rG23FLZtVKw6uMBlivHHdqGGc8hUzndeMI6f+pF2U9olMUV+IaFdzO
mlhnbSxdnP8C0nY16zHSedHaKjI4ZDRxSKCWEukEVDhFANcHOc3bOPaT7vVYmVMI8XiOtqJjrjrB
ZI4Jriohp5WrDikKC8JCQZho5hwzR54lu+SrkuLA4pJCgjMB2laKeMbM9ow0/3xncG3qISWaotGj
bPfZj7ix3q8tGmC9ctzRpj4kCe0dRd48c6VqRvPsAltVe8KkC813ximjUCf+d5aHtc8vRjxXacpr
E2B0gZMkyqLKmt5cLN5x0ZkEz+jgWJ+xxZ6OmMl5KpLHdU2n2xgTPqUJ08SRJH8K1crL4emwR8BO
btfmCkRQy1qGpsZVFGufE8uSpVWNMNIjHB2eX/4TP2V6JcNag31Y18OtIryqaID1ysGSaisGAxvK
54xG9KSilWXqBeeLzEiT5WGl+X56mr5R5WU4LQz/ekb+6vUcEUxs9mDyLFyqdhOmQG9AYLPpME2W
73Dvj1SBSsmw41LSZsZCMT3ad/mx2HmZRv3+eEAfO2w75lhkstvOoMT/0oxdR3dBHv2cYarRrmEp
OWbdM3PYS8BXN67s5miV+gRQPMAL/xq0eNVogPXa0T2hm4F3XNL1AffRXFzmiYPCxZQKahQsWhcq
OXA3zqzCFpcRPJvHpSyiPHBxdjZ1hPKcYtxqF7CpJqxj3dyfEo9VuV4ke9qfjPGsgCcX0HdB7HNS
LDgdpBkFz4sTRJpXaIm6y9j0VcaZxhcsgdlh2+lxdOfZbUgy7XDcM8v6pB7Vjx2zukfcPy2IcdBz
j8e9SKzkZoVM81SHPCVkiePbMjf9Gsm4p62XpaHMCC1NM5wSvV+y0EidOCVs5DOTs5VEPqfSM1pc
SzTAeu3gxc3RPz+XdtOq9HsDhKAKdnkNhJwmTqOIqlRvYKM8ZeOWW2/NdNtZsp3lj1eTu5J+1Y86
Xkpl2bnafJlCKieHRQwLzpepXrnL9A3V8Ho2fJDNvZmaWWfuJL98zrpaXGc0wHrtKBIGWhaWpMuZ
xc5/5FcO9VcZJ8G7yhXT3uJijfiJWR6lkpnNlEyPWQ+zNFL0OQ0sgLE2Sq3UCX5UQ96xbOT3rXHP
rDHShp5gR/ceAU20CWkxpD15GRKYxHZdlbGaR1h5SYopgz/ujrpe6tO3UvBaowHWawd7P1wLZiOZ
uuu8kMsF9BYuGwKJmuFFB4+TNgr6BZ/MC1AKD7WnVr6ZmV3RZp4SMNaPonig8crO7jyVZlBjff8p
+dRkwdRKTcCvCkZbyUcCqj3MSKeVTmFTSuJY4XchCrBkGl0zLHEqWlxTNMB69aCgXsI4s1/ENeJy
uZTF5FUX+CrDelKVW0UvRYe+8+ppDd4E9qjyILNWZVDGwaJ3DREjcG+wqIzWclAk2pJpsddFMLFG
vIGWFqeZdS0LOvb4Liq4E7m2vB4XB2RRT8Aqk1itRPF5Evni/RkddeArCaupNVxlNMB65dDQP3PC
RreZqlKANxOcYlaXL03oggf5nH10iKQeoDdteL2votmuj8yCJkRufxfgU0+KmdZMPqgtSS7LLAVR
63VVcqdlUszG2KPi4MB8BM0u7dTAYualIWbGhkvT3CgoLS4a+FjlacawBFuClQEWEdj2OFuOdV3R
AOuVo1xWxjs6rdxYYkV+0bUHe1Knz0+U1zJCpDehGzRZ9OJD0avQ+kk1M1NGVeo+MtyNaZV+Zkt/
kkBd+SKaFE0Pp0mmAZaUGEROZZ+MJSAzK2BLikXk86hRb1NODhXrj5jwFJ3p0xuSlf2cFlcVDbBe
OWzZ+ZKlblwipQNX3sh65jyt69yARqx0WtozwyolliZ22nmhdLKBwrkvdT4eg/ez5GPTXdmVtOHP
VIy6yiONBfaaCFgELj3ufKwocilXbxyGyCzOKm2uOHZFIcOCRNPn5WWbFV5fNMB65ehxxG034Hbb
4fNiHCy5XWm+NWHjqUFli8e06LLJl4GE1g3p6SculfGsZMxa93mkVVWazKXxfY5iAlHGe2fNq9MY
TYTVzThjofwwlT8JMOUhAlSxzidg7hBksEq9v4AuL+jgsYs99jOt5plhsTTMmHm8ZTk5S895lBs0
AWgeeT9VS7e4G95Z9nUIKguXfIDvKLnH86GYnzHtg0vaY5zYwBc73lI9ni3chMFvcednfOiOuHFH
ZWJLorlshz2VMJaAbdfhjwO1sKpstHHb2CdrVPfrigZYVxA1o+LNJGWqBlVRB63s8tLDef5c8/17
fp8Bm3o7/0SsmeEkgdY1nDXmScpGVICgFRwtDasmLO4O1G0XV2otAHj+vDbRa1QqA5UZaF0v6RwC
myOVYcRyUifs9MKUjmE2dZ8DjsnrxnMUaKoXFdD5TMFUbH3AuxDRIeFA1VMy7svaE0/XVBooELji
v7Vy8CqjAdarhy0QnwDrxMUiCJjNfJVKtgyqXEwrZQdb3amAYKp78u37jWeyXhCun9v4/1xmnc+a
VAJj4lewMpFBuvHQEIKCezQFK9rtq7We6km4Bl+CE78mYPFWOVlzetI6D4cSlFymSH2i12CiFlbG
Hj1GqpXKrkwS9Nj1wG3nsCVHYQRoPj2IsxVwnAh0Rq0g2HK/kYPGjuBafrQsXfX6bZHw6qIB1mtH
ASu7qDiC51JvcUvm+L5wiOTm55+73DBMEG91uHx5/y93Yr60msOgOB7LRmU0RXKFmQizEi4eW6/t
/NpsZk+ZUi8ex+ywkZPO8+Oe6AsrklXV9lqTSK38Ha0BzyVn3yH7DebcS4qH5fNn15lBLDM+Zlge
uPEJH0LCTUiyMotax6F8D6kjzBT52sa7ysekbIw0jLVUV7P4us5ogPXawXE+M4NgoMVGMB1k2Gsh
Y9uqk5phWZPKXWQ8Z7v7Uh3+DurWpUggFU3ZOxNgCTQNOHtO3Nhsk7GplYycunELkDLqLNFoakFt
rJORagGiGjXzsukgMI6j1m9qtlVVUwncVArMnl29iAM6qZxy2jd156GeMUIWxDwjLrNKQJZ6RHiC
6H4EnmbgkEwKh8/jYzYEr2g/+9Zpv+5ogPXaUSQ9K2D13hyVucxsRV1hi5eGMjMeu6iY9xBCbLJl
C9ClNBNd4GfyWb8pzoBl5ZHW8wrFyfo+JSMR18rOq5I1j56yyR5BmvSrbOkFqeJL9YfakD/vFUa9
oMDKdThw4ZoGqbPD5FaCgtK1sia86f3ZVIIyytScp0fhp8nhfnZ4oiopvX6yw3s6+4jyUIX76ljW
rO5bXFc0wHrtoJFnISwOkash3iRbuOWWWc7UxkrReSqGpDXbOikplAZyBauTk84vXHSX0jRrYOFH
8Z1kX1i/x+lekbVhQ529nyKDw0yMF71MT4ve+0nC+aJnVT+vYn2VxlAfpwniPGMTO6ko5NCpyU75
mqd5xj4xNwLCbP6HBNAYaGgR4QIJpRGZAoIY8Tgn/HSY8XGO2OcBY7DeIAG+i2TmW5lbtnpaw/2K
owHWa0cli/KXwYuOmYv+9S9LxbqKzg31s1dh8dHJVf6l6hFYufiv8gKlESvRhxmejq6MMFkznv2h
rlN29Uy6Ri4/ZwqEnbv1rdZ69PVmKzi22FxJoQQvloeOO4e+18K0aWcljBOzug40cvbjUemetODp
qBMcQow2rGSmdzzgcVrwOCbsqfjAZWqy8AvIsw+nHcJ6os/S0xbXFg2wXjkO2wEb8qWOwH9ywOEW
+MkD09FhKJmKyp3acC8rJQQq2+MxuWEJqKi5bEDhxd02YbuvhfCwfm6yB88uVmZRVJLgmk0FG5Vp
IUg+pqORqU4gmFxxplQxpWASUiF9WrZImWRqW80S4iPoEVwmatlPlJ7x6DZbARh7WfM8wYlD9qiW
/5JvMaG3fUuWy0xMyVvjRDR1Kj93yPg3jHgvYAt4mCM+//0ej8nj4HrM3U4SzvI6dMC7jnSHPW7j
jV0IAnmrDbNLOOYRG7f5v/OLb/FPRQOsa4nSLO+yx+Csx6JkpjRSTqXfSfnzeTlXe+1ULaDWek45
zhcAABouSURBVDWi+L1d5DVr/Pn9bKI7zHJzjsWurK4a2cIzzSBmISKVE5hdpWd8Mj2nZFSkErCR
L9HAPCEtbL7PeGCGtbBJzl4Um+eF2lGUWImS5pVo5yXKBIULeV4zZ4wREzldJK5yP7AMEATPma9p
tIzzG1v/Stom4bVFA6xXjpPpgSUi6L3Dzns8sf/yzGKLUi6mZ84dOiOMVsZ5nZKRZkBxO/azVhIs
vyMqofOyB1V7XaNcqhdkkUVXgMV5XQYOnIJyuqjzKvWiuuJc1ZGDBCiPFQhcJJvOtPJKSPOMeZrw
GG5FFiXV45Fmz8o6bVLKqlg9sNXUVHZn1HJfZhzp/sxGPXnvpD+wr8XyVkKJzBqBbd+JXHp6Z6uf
WZWiaXE90QDrKgCLV57VflQVeBcCnvyCey7DuFg8CZ83xZ8pk5al4+qpZ2BVCZu/7/zO+lPnZvj6
ZjItpkcl5+TaYWNpSK4Urb8o2yJaBpv4PEdmQf5UflFTXWsw8ySgSrlwt7zHo98h584cpklPIC9M
1I66oWjKoZToMX4a5XqAcZmxnwhYtwKs0fe638pn+4eB6g23dO35wm/G9BpaXFM0wHrlOBUdVMCT
R6HHXXS4jwFP6u18PTQ5rGBRNN3tsrXS61+1wLterXkGWsZlF0ieetVlAsdp4ejVsUIMCwLVEJh7
lezKZGGsTGRmRdec4zxhor1Z3GIJwBzJ5LKJ46hpZCkJJWma4TubppolGLCXVrvDQwr4vCTs0WF0
ZMKrstTTOlBuxuG2h/6BKMmtCUI8+0egZVjXFg2wXjk4ddOFpF+Gef3dReBTdPjYMVNY23ytiaSl
b+PJO7ImtpUwBaxYghVW/O86vxdKwXVQy+tk8V78yWypmdkQPRctUxnE3Dd1Ujsel3tMi4oZ1UKq
wvGAAxegww5T3GF2vWWXUjatw4YCwqwIWU4mKw/5PlkuPpKfhYD71OEzIkZmV1lygSoH2ajvXMIu
BrwnnWFVBSpnKzV6GxJeZzTAupJgX0b/0mcu6wLbDuhmJ8BiaI1ODWvuwq2a4eRHncCKgGA9It2v
B/y+S2+9PvMSAZQKDsyxzvuGlJZJmGYuOHuROyN3C1eMdxmrcupIeeKF1AVjwZOucJg5cAiY/ICJ
9eMsu1QBYBWhsP1J5pREL+ZeZ1/ExxnYw+M+D3iQwUcpF6kyykemURPPrfe47c3aS8qkKn0NfFtc
bzTAeu1QxiA+uP0LX8iL5AZx7P/M0eUZF8t6OWpvXzSHTUO9rMGsBPb+maiSNS+BVe2RSYCwODkT
rIwsvmCao1ygu+Kmo/8KkzwJxBYte1duBT8dU5Z0zDEHsdq3y6gGvhTiqXdVzkk8K/5c2KQvzXuW
oAemqy5hn0llsPJPwn6V9Eon6cD9wYxB1XNR89OPdEUEKUS2hl/XFQ2wXjlIpaJF6OkXEe3i/jHP
eD8s+O+PlD6JtoRMiSdkKRFIl5Oj/5WzsQCkgEFdKJynUbt6VReLelOVfS4W+2q/7xKMdDzyCLg/
yM/L8bVALD5YglvoO2gONJzkkaPlOmmOYpwTPpMsyoXk2Mk30S175IWvn+Ejy9YdHifgYx7w0+YG
99FjWjzcxCzRYRmo3GDuzpWIXl161Hh3A3r2zzikdOxh2XIz38uOcjJjmV5OGdO84Gbw+PC+x/t3
7KfxB8r1ghfWLxtSXWU0wLrCWPvz3faUUmH2YCxwLh9XtWAxwn+hq342bzhnR7yvLjEz+3iJY7U+
F1EQVkz29cPPUjHn5/LYei5BayFQOBw6h4FZkt9JKmbh7iGZp1PCARkP3EEsRFlVtSfHHK4zE5yZ
Jf28J/fMQed0/ueMkEoyeo7LmgwOnFiGcJL0afG2ogHWK8eXeiYGKh4ftsCnhwnzvCB0g8pEcbHo
2Sd99J8fZ71QHCPXXM6rL+cVGe7wORwOh1O2tdapOrPaC0BeqEJUQDj3uCogGqlV4OqYZc04eI+H
0cMNQYqklHyh2sKkMWKigAwOAI4s69TwJjBb1jOV3hUBe5IMsriip9LYaBJn34nqhmMNege6fMnV
BzO2MeNdH3HLJfNaOrdB4JuKBlhXEi+VY4w/DMD0mHBMI+irzsawFoXVi4lfBLzz8Uy5k8DEj88c
lcuCMcGKZSOF8ypwnY9zpkaYs3P1BzwD45mTZVwrlY9FypmjhOPscO+NmkCAIQAdJuAwe3TiVZEn
xeVpOx6HC2qQqy/lMXMdh1QHDRjKXmNVaeWGkpnxCMwqWNWJolpSyXpWtxF4Pzh9lFePVptavKVo
gHXl8UMHHAaPcXFYokOKwMQURaVcWTD8SrAUXAvj1WVj+x73+cLpVkX1TvbzJ65VWcWprjR1MftC
Ttk+5evUBWcvnhSf8zRlHCZnu4nkaPG2UFKnOgadeVB2PCsPJ+lxsS9uIHYi9rvnO5ZLBSppiZ0P
xH4+FdpvAvCB/avBYWc9ejuRtn3zpqIB1pXElzKlHYAfNyQ/Ojw6r9KJTjK8Ws8Tw5/zo9aqCMye
qlLCyTbrFxRAT8cp9IgzINX+2rlsrK9zZtifQYzyOJwgLtSgIuhNc2nicx/HHOtrNz0UKdWyfSiA
mgnUVWX1NB0sk0KRZi2z0nRS5ah/fp5ktbuAm7Dgwybg3VC8Uzk1aAnWm4sGWFce3Fihm8sNPPZU
QOAEzdbo1MuqHed132kNJE9PT88yKEbNsBhVg2rd37o0jahpTRFsFjBVdcDzDh+nblXsoRy/ZD36
VJbLpYxMCV1Hlx1K4xQ6h6kUllKzuN8UtnzVii+SosaoX8nnrBVNlQEWsOK3uwQMMGWGu8Fjo+fM
xV2HXK4WbykaYF1x1IubBp+dQGWyjGOh/x6wTDN8z/bxl+Pvf/+7XGjYnyIYEaCqbTyD91egqr2s
+vFUHq4Aq5ZiprhAh+aS7YSSuRQ9eR2eLH5+vzguV7UJLmhzVWfoAg5H6jCY24UmltT3KudupWAp
FYujzen27F0+l162cyiPowchxRGDl0Aim+8n5pv70h5hi2uN9vu64iBYHP2C4APeB4fHR4/pccIx
OKlmzl2P7oUe1rq8/PDhg8CHN0m3FM30Cko1u6q3dSnJsk9ZXJVuqeJZpy682b/Xz2vvag0eR2Yx
S0aeTLqYInsdBfn4+NG0tZQhlRIzJYKpURn4X3J2jvxDNWehrLVLanTx5fZPQdpXPA1SzVgyzmkx
lVS5Zz/i5t0Ot++sPLRi09QhbF26NbHeUjTAuvIgd6jaeW77iO3GqelelT1/abv5/fs7M2EtE0Kb
BDKbsgzktJ9XAGcNNmbI+tuLpnV5yqxLJhIU+BMH1agE/LaklEuDXKAloLWmlu1BOq311Mnj8+zK
+mV8XEnn9FwJBRamPVnrd9HjJpADxu+ujVElevOb31uL140GWFcehCsysntEvN9SsSBg/5SxlxTp
r3i+A47HI/b7vb6myzJvLOUIYvweSz8C2bkMfC4U+M8AVf1cHNKqflC3lku5x/4cFUQvj1G7Zcp9
SikY61SwlqXl8ZStETmUE0kNT88ozq//NER86Gx4oeOp98Wys+wW/vq31+IKogHWW4icZJm1DQ7v
NsCng5OxQvgVPKJxnCU5TGCS+82y6OvKweLnBKoKZJWLdUkg/VJcTikvQUvmYEVltJI7mbhxKVnn
UKCH3CubLlreU9cjKfpXp31r/S97TTLXs6Sa+Q1xsUj5SKYNRnOJP20ibteqDPqZNc32txoNsK4+
ytwe1ELvdPHd9hmPJDH9Cok5gs92uz25Ka8Bhvfd3NycKA21yV6niMZkD/90dqXPC/PU1omMx8Xq
lOWmrc4UhYRCgahgVddmnrkE6Y7n1DN7nSK3XLwJCXK07brpIW0xuvo8P9lf9ZZaXGE0wLryyOJk
Mw8xjsDGe7zvaXfl4cYJD7SO+UpUcmjPdGO1XoOLjOWZGeszQujXz6+Wjy+Blj4W4RxpVpVe2cmc
lVpWgTQJ066XXyrFCGkdVjIzwzkDLdNiXy1Aa1eRChBBZaFNBTP6PONd9Hg/kM6xPlva2ZP0UL9q
8daiAdaVBzWeeioyqDue1Pf5sKEoHVd0ZjxQme4rsXZRvhTj05Cf8iwn/lXhOK04VjMp6fjnQKt+
TbA1v9iVAL1URx3l2s9m1d6a656ihGyo8xlk6vN79DzkZHCVHhkXjSBkYMhMiiKIfVjEufpxOC9r
rwabphsmQR8e4eu0kBbXFQ2wrjwqaVKJgtjZVB3wuB3ouUdZz68/fxj6Z+s5694UwayWgacl4mJ4
UXcGf239tAatdZADZQarxlivjyUwUueqkkArUDpHKeXKaBcLVGBmFATjd51uaklRV8uC7Sn29Tac
DPYOG+lvWTO+kOgL+15Qp+yvAdbbigZYVx7b+onkCzict/jA3bgfNvhf/87dwoRpMeRiz4lL0VW9
dC4oUUX+6vSv3neeBp5pA/XlSH+grPA6zhSIAoDVYHWVva1xi2J85ZlmOAGHTox2A81YpSDkXG2z
QWq5V2IqQYugyinhmnxaQXieqRBI0YcZy7RHv3H4t/c3+EN0cOzul5LwVBmetMLan/5bjPZbe+Px
5x3w+QB8WrJUNin2V/fsBDa/4Td8LuvOX1/23M+u0lYyvqR+/tJ0sdIV6kpPuffZa56yptVHglg1
Y35+SAJkQO5s6sjS8S50+MPQYVcp9zL2aJ2qbykaYL3x+H9vgL/khP1IqkMQGdOss7hMbHrn/0yc
jElfBCxbcLbMbCVFs37cF467bqE9pyhU0GLmtDLaoHGFgK0uNZfHl77U2AHpANxmcq4G/HnrcKNH
cCfoNyJ2i6uP9tt843HnJqTe49MQcZ8CHtn2mQymaqLxa+KsbXW+77Q3eJF1rW/ExMsJY3lG+fDS
6tD58QKnUopaxlalbCotojyer7d6rB2Avodcbk5410WB1Yey55gczSvaH/i3Fg2w3nqkEbfdgB+3
BCzg+GTN9Dl6pMhf7293JrzkOX3JkFX3u5+Xcfa9L8uiPwe9Krtw5oitX5s7g1KD4YT09N85wpyx
C0nv/44tPmnTHJCUYrY/728t2m/0rUfuEEPAj9siOzwteEiLJnPTbywILzlU4kzNxoG6vP+UVZWb
KX2e9bWsaU7qwvNjZ6kynJvuZ0OMs+ci6Q7sSfF+swfTq5/KxjWuvc+T9MLutsUXUZNBghz/tI17
1uLbiQZYbz56JSg3nj0cYNkl/IfzeFyCHGRu/4kjPl+AXulinZrj54xLGdaFLPGamW6Tv7VNWLH8
Spe68CszVk0EV6+xthe7ANX/Gh3ebxx2kUQF8rcWuK6HJ/V0pZnV4tuIBlhvPGjDp34VoLWdHzYe
+xSwPwDH5Z8DrGfHny0Deqm8UzYVi7zxhXdhBaGXnrMGrMsysPbNSJXSt9KZN/bSXuOPXZTAIR+6
FGE+gqTWcThzaEnWNxUNsN541Ckemds7yiBvogia88TpWcK84VpMNYavmlbmG8ioGlZffoGzNfwJ
XFbUBqpGnImmtWxz8OR1UZN9rIC2pjpISU+lHzWsTk33QpI1ImkRGBwfsYQeo+8x8RgLsHMZH3qH
dz3wp3frk12x1nnMBlbfXDTA+sai9yap/H5DkPD4THIme0JFV5lE0mWZtJjCjT1Zhb2gKX/qV1XC
6c9svsrjqnLxqYxb6VZ9gf2+jvp9yc2sjqtVHpexyCG1V6kozfeUMcQsm3nK7bT4vqIB1hsPaTaU
DIp1FDnudx2Qd1Bf5+mBdvD2a54p50JjU2VVtjtY/wDW5dkavE4k0LKsXPtXtQRMfv1YI3j+pvMX
w90+1/pMEfmr+4yLM3Y/v6T5afQz7jqn0veu/fV+d9F+5d9AnJkB7DcBg/MmWheAvx281lYOUxY4
LAjwgfruFWi+LlBjO3hmCqGVYdpoFf11lX+SvqkO0D9nUfwSqUIyyKXXRdKrvGFXRhYjlUoXtqIS
ti7hrnf4cWugfF5UavG9RAOsNx7VbMG0DZYzaHnrN//nO4/PT8DfphFTcoihU29Hz2Fju+7yreJZ
c7twsNSjkuuNgZV9i0A2l4+GmpcO1L+0GmNKDNxJZH/dmbNzVfsrQwU+KPgZ7waHP+68AGvzM8nj
Ft9DNMB646HLtfCX9OtkV7oADpOoPw/A1tEtJyAfMo5SQCh2X5lqDeFnS9HriRwzspPbs+mH2hSv
loAyFixRmOrnMI+ar4aUE0w7gZM965UVeeXS2+pcwlZGqMCP24BdycDMTKMB1vcUDbDeeKy2VMod
xj+qFR/F7N53EYddh9kBH8cF4zKr1xSpOVUAy0RGTW20Ug8Yi3b4au/qzJWqcjA0iXhOaag0CLtJ
GPUrofKvjAhZGmqzpgr98esMbAeHH3ad8a3cGQZfMn5t8W1HA6y3HsyoaPy37katBOvcMqLzAbeD
057h4+wwzQQsJ1/A+dnicTnkik+1BOtfnUq+qtBC/SyWnVWnfSk29iuLMFWHvwBYzxr9z1zEKg0i
o+88bjfArj/7Cp5OoMV3FQ2w3noUsDq5zFzEEnfKWt4z2xqAYVnwV+/w2UU8BI/NwVre1FNfqs5U
Dlg8tTtNtoWSxQIgTgnTDD9ndD6CfPKJgMS1vWVBzEux62J3KZq1fPqE/dOTVny6jlT8hKeng85t
O2zwj+kj3OylV7/tb/TcAxYsvYPfRvy33QZ/2PYqbTenPaAFmeYUyrDan/D3FO23/Y1H5ZszWeEE
7nbT4RDopsPbIjKmcbSqaHBhlRfL9yp3J/1ANsV9LKvKNtWjY424WJQsPXGo7Fjqd4WIbrNFRycb
PcYjDFsT8qNDT94gJy7S0Iyik9Grn0fEwWO33eLDTcB2WP+hntM79teaTdf3FQ2wvvEQGVN9KYc+
OrxjX76ztZ1xP+HoyTA9PRqZqEaS5kKn5kJZIMG02NFrQlilZQha7IVpGJhEUDWwy6pUSU/dxAFD
vy22Yia5vO0M9FhC3qJHCgBXFumV6DkNjFFZ1Q83Af92a9POFdtLWdjimq/g9xgNsL71EFeqMKmy
AQ8XpX8QcDn8lcCjBnftP5kOuxralCBONIZQrnRmta/WBENa0NFZOXhEARrJqQ6HPGNajIw69Cwd
M46HQ3GgNgDb7w/YhQ3GAEwymFgIX7gbIv68ifhPvS3bnMrdeoIExl9kkLX4FqMB1rceyn5OVji1
oBLxsrsZ8PnJAEbUBYJbtO9Xl2VN8ZQ1JWVrXOXpaXVfvANvCIIe6GMVDHQYHd1+Imafca+mf5Tu
/DgfMM40mTAgTPtHYMhwEyVhFmVwt9sef9pG/IFNdh2PTXZZOz/TlallblNj+L6iAda3HkpNVIDp
pr5UDto35O2v0ywZGpJCl+SRyNcqTjas6xwRTM7TCb2nWJ7HtqNRaVDm9QMb8lxSDuc/ppG9LWqt
Z4e7FMFe+zgF3OYBEx2r+0GaVfuByVKHJSdMiUz5jB+3A/54G3FbtAfTYjLP3Htck1LNp6IRR7+3
aID1jce5dLIlG17k1qYKAqU/30R8jjPyY0aeLZ85N78s6xIgeYdd5/B+8LjtgW0gS2rGLgyrCaUJ
YpHMWaxf8QN5YfxOBH4MO8zkfoWghGleBuynjOC8ycksXGx2cmxmUN/KZeZ5BLMqG1GTqlnuO43p
/n1FA6xvPE5+fOX/ZU6qPMuykw8dKQsdDsuM47EqhRqjU7b1tEJkE559KmZlBKwuYeCMLqdSsNE1
cEFOxSSRWZnoFkGddB5P5aOn5DEPzVLTIdNGPjpZmfEPMbDzXnhbs464aC8yywe68Mt0PkTRJnj1
PUYDrG88zmP/F8ShuHO4AH/kpO9dROwm/OVpwuPRJAG7GJA3wOHTjP/vfY8/uAnx8TNuP7xDRsTi
yMVieIxjQt/vsN8fsd32SNOCnqoRa111shFqhlSypbtsvoOMOc+IbIbp1cnNsvufeVWfSly+nyZ4
9b1FA6zvPYotzeCA912HuZvhksdhBqbS72Z/ik32zdDhZnNn3SOt4JyZ5h0fBGCz6Z99/SUjitPL
r44RZZrRosWXo/2FfOeRPLtNAeTDE2P6TdQfxd9ywuc5YchRKzy9A3oCF5ehlwl//etfsb27xcPH
n3ScYRi0f9j3PcZxVNY0z7ORRb8SN7v3eHx8xO3tLbbb7TOJ5ZcklFt839EA6zsPdp3IfeL/uuTx
x+7cQ5rHGbsY0Rf+lnikHri/v8df/vIX/DBP+OkffxVQvXv3DofDQR8/f/4sFvvxyPLw67Kg05jx
97//HX/+85/1WDLdGQS+BlYtLqMB1ncezK7U6RYaEbgi3nfA6NnTMjq7XxZ02aaKNWgtNnQ9fvjh
hxNg7fd7ZUr6fowCrfr1l4K0Bj62ZmJrm3setykytFhHA6zvPALnhgKI5WRX03kvB+WN7/Aw0zln
whCDJn1slr+/+wHuv2Tc/fge0zwJYPqux7zMiCFiu90JeJgtsVT86uv7QY+5uTGDeYKcseGpAEG9
rqbI0OIcDbC+85CxA0dvpDlJTM9YW1xP3hbnmcORO4GFya7HO9z98IOysi5uT9lQDBt9HPob62d1
uxetudZBYLu7u3t+TiGsrMJatDhHA6zvPUpfiu40pIJmLOhA4wojalLpcw6urN0A+/2ILYWpGMsi
2gL74nScHgbSG2ZNCuv075f6UMzCmFURoPg5e1f1eb/UsG/x/UUDrO89yl+A0TyrmMx545ja6Zub
c+N8W2nofFw0ljtjIKt0RWv4tcM9gpU93p3AqkWLL0UDrBYtWryZaIDVokWLNxMNsFq0aPFmogFW
ixYt3kw0wGrRosWbiQZYLVq0eDPRAKtFixZvJhpgtWjR4s1EA6wWLVq8mWiA1aJFizcTDbBatGjx
ZqIBVosWLd5MNMBq0aLFm4kGWC1atHgz0QCrRYsWbyYaYLVo0eLNRAOsFi1avJlogNWiRYs3Ew2w
WrRo8WaiAVaLFi3eTDTAatGixZuJBlgtWrR4M9EAq0WLFngr8f8DJ3alV5D1k7YAAAAASUVORK5C
YII=