20240624 21343700 1.0 FALSE Zonal_st 002 0.000 file://\\18236855-D-01\C$\Climatologia\Zonal_st.shp Local Area Network Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> ExportFeatures Rodovias "C:\Nova pasta\SREMG_2024_02.shp" # NOT_USE_ALIAS "cdexportac "CDEXPORTAC" true true false 0 Double 0 0,First,#,Rodovias,cdexportac,-1,-1;ano "Ano" true true false 254 Text 0 0,First,#,Rodovias,ano,0,254;rod "Rodovia" true true false 254 Text 0 0,First,#,Rodovias,rod,0,254;sremg "SREMG" true true false 254 Text 0 0,First,#,Rodovias,sremg,0,254;cdtrecho "CDTRECHO" true true false 0 Double 0 0,First,#,Rodovias,cdtrecho,-1,-1;descini "Descrição Início" true true false 254 Text 0 0,First,#,Rodovias,descini,0,254;desfim "Descrição Fim" true true false 254 Text 0 0,First,#,Rodovias,desfim,0,254;kmini "Início" true true false 254 Text 0 0,First,#,Rodovias,kmini,0,254;kmfim "Fim" true true false 254 Text 0 0,First,#,Rodovias,kmfim,0,254;kmext "Extensão (km)" true true false 254 Text 0 0,First,#,Rodovias,kmext,0,254;mkini "Marco Km. Inicial" true true false 254 Text 0 0,First,#,Rodovias,mkini,0,254;mkfim "Marco Km. Final" true true false 254 Text 0 0,First,#,Rodovias,mkfim,0,254;resp "Responsável" true true false 254 Text 0 0,First,#,Rodovias,resp,0,254;crgrrg "CRG" true true false 254 Text 0 0,First,#,Rodovias,crgrrg,0,254;crgresp "Coordenadoria Responsável" true true false 254 Text 0 0,First,#,Rodovias,crgresp,0,254;carac "Característica" true true false 254 Text 0 0,First,#,Rodovias,carac,0,254;sitfis "Situação" true true false 254 Text 0 0,First,#,Rodovias,sitfis,0,254;juris "Jurisdição" true true false 254 Text 0 0,First,#,Rodovias,juris,0,254;cide "CIDE" true true false 254 Text 0 0,First,#,Rodovias,cide,0,254;consr "Conserva?" true true false 254 Text 0 0,First,#,Rodovias,consr,0,254;posi "Posição" true true false 254 Text 0 0,First,#,Rodovias,posi,0,254;coin1 "COIN1" true true false 254 Text 0 0,First,#,Rodovias,coin1,0,254;coin2 "COIN2" true true false 254 Text 0 0,First,#,Rodovias,coin2,0,254;coin3 "COIN3" true true false 254 Text 0 0,First,#,Rodovias,coin3,0,254;coin4 "COIN4" true true false 254 Text 0 0,First,#,Rodovias,coin4,0,254;sremgant "SRE Anterior" true true false 254 Text 0 0,First,#,Rodovias,sremgant,0,254;trechoobs "Observações" true true false 254 Text 0 0,First,#,Rodovias,trechoobs,0,254;classfunc "Classif. Funcional" true true false 254 Text 0 0,First,#,Rodovias,classfunc,0,254;dennom "Denominação" true true false 254 Text 0 0,First,#,Rodovias,dennom,0,254;dendec "DENDEC" true true false 254 Text 0 0,First,#,Rodovias,dendec,0,254;dendat "DENDAT" true true false 254 Text 0 0,First,#,Rodovias,dendat,0,254;rmbh "RMBH" true true false 254 Text 0 0,First,#,Rodovias,rmbh,0,254;regplan "Região de Planejamento" true true false 254 Text 0 0,First,#,Rodovias,regplan,0,254;convnum "CONVNUM" true true false 254 Text 0 0,First,#,Rodovias,convnum,0,254;convpub "CONVPUB" true true false 254 Text 0 0,First,#,Rodovias,convpub,0,254;convini "CONVINI" true true false 254 Text 0 0,First,#,Rodovias,convini,0,254;convfim "CONVFIM" true true false 254 Text 0 0,First,#,Rodovias,convfim,0,254;convobs "CONVOBS" true true false 254 Text 0 0,First,#,Rodovias,convobs,0,254;vmdpass "Passeio" true true false 0 Double 0 0,First,#,Rodovias,vmdpass,-1,-1;vmdcole "Coletivo" true true false 0 Double 0 0,First,#,Rodovias,vmdcole,-1,-1;vmdleve "Carga leve" true true false 0 Double 0 0,First,#,Rodovias,vmdleve,-1,-1;vmdmed "Carga média" true true false 0 Double 0 0,First,#,Rodovias,vmdmed,-1,-1;vmdpesa "Carga pesada" true true false 0 Double 0 0,First,#,Rodovias,vmdpesa,-1,-1;vmdtot "TDMA" true true false 254 Text 0 0,First,#,Rodovias,vmdtot,0,254;senttraf "SENTTRAF" true true false 254 Text 0 0,First,#,Rodovias,senttraf,0,254;inativo "Inativo" true true false 254 Text 0 0,First,#,Rodovias,inativo,0,254;oficial "Oficial" true true false 254 Text 0 0,First,#,Rodovias,oficial,0,254;nukminicia "NUKMINICIA" true true false 254 Text 0 0,First,#,Rodovias,nukminicia,0,254;nukmfinalg "NUKMFINALG" true true false 254 Text 0 0,First,#,Rodovias,nukmfinalg,0,254;SHAPE__Length "SHAPE__Length" false true true 0 Double 0 0,First,#,Rodovias,SHAPE__Length,-1,-1" # ExportFeatures ZonalSt_temperatura_media_anual C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb\ZonalSt_temperatura_media_anual # NOT_USE_ALIAS "cdexportac "cdexportac" true true false 19 Double 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.cdexportac,-1,-1,ZonalSt_temperatura_media_anual,SREMG_2024_02.cdexportac,-1,-1;ano "ano" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.ano,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.ano,0,253;rod "rod" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.rod,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.rod,0,253;sremg "sremg" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.sremg,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.sremg,0,253;cdtrecho "cdtrecho" true true false 19 Double 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.cdtrecho,-1,-1,ZonalSt_temperatura_media_anual,SREMG_2024_02.cdtrecho,-1,-1;descini "descini" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.descini,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.descini,0,253;desfim "desfim" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.desfim,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.desfim,0,253;kmini "kmini" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.kmini,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.kmini,0,253;kmfim "kmfim" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.kmfim,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.kmfim,0,253;kmext "kmext" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.kmext,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.kmext,0,253;mkini "mkini" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.mkini,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.mkini,0,253;mkfim "mkfim" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.mkfim,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.mkfim,0,253;resp "resp" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.resp,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.resp,0,253;crgrrg "crgrrg" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.crgrrg,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.crgrrg,0,253;crgresp "crgresp" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.crgresp,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.crgresp,0,253;carac "carac" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.carac,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.carac,0,253;sitfis "sitfis" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.sitfis,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.sitfis,0,253;juris "juris" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.juris,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.juris,0,253;cide "cide" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.cide,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.cide,0,253;consr "consr" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.consr,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.consr,0,253;posi "posi" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.posi,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.posi,0,253;coin1 "coin1" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.coin1,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.coin1,0,253;coin2 "coin2" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.coin2,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.coin2,0,253;coin3 "coin3" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.coin3,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.coin3,0,253;coin4 "coin4" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.coin4,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.coin4,0,253;sremgant "sremgant" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.sremgant,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.sremgant,0,253;trechoobs "trechoobs" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.trechoobs,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.trechoobs,0,253;classfunc "classfunc" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.classfunc,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.classfunc,0,253;dennom "dennom" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.dennom,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.dennom,0,253;dendec "dendec" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.dendec,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.dendec,0,253;dendat "dendat" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.dendat,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.dendat,0,253;rmbh "rmbh" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.rmbh,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.rmbh,0,253;regplan "regplan" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.regplan,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.regplan,0,253;convnum "convnum" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.convnum,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.convnum,0,253;convpub "convpub" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.convpub,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.convpub,0,253;convini "convini" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.convini,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.convini,0,253;convfim "convfim" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.convfim,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.convfim,0,253;convobs "convobs" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.convobs,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.convobs,0,253;vmdpass "vmdpass" true true false 19 Double 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdpass,-1,-1,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdpass,-1,-1;vmdcole "vmdcole" true true false 19 Double 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdcole,-1,-1,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdcole,-1,-1;vmdleve "vmdleve" true true false 19 Double 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdleve,-1,-1,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdleve,-1,-1;vmdmed "vmdmed" true true false 19 Double 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdmed,-1,-1,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdmed,-1,-1;vmdpesa "vmdpesa" true true false 19 Double 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdpesa,-1,-1,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdpesa,-1,-1;vmdtot "vmdtot" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdtot,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.vmdtot,0,253;senttraf "senttraf" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.senttraf,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.senttraf,0,253;inativo "inativo" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.inativo,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.inativo,0,253;oficial "oficial" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.oficial,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.oficial,0,253;nukminicia "nukminicia" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.nukminicia,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.nukminicia,0,253;nukmfinalg "nukmfinalg" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.nukmfinalg,0,253,ZonalSt_temperatura_media_anual,SREMG_2024_02.nukmfinalg,0,253;SHAPE__Len "SHAPE__Len" true true false 19 Double 0 0,First,#,ZonalSt_temperatura_media_anual,SREMG_2024_02.SHAPE__Len,-1,-1,ZonalSt_temperatura_media_anual,SREMG_2024_02.SHAPE__Len,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.OBJECTID,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.OBJECTID,-1,-1;sremg "sremg" true true false 254 Text 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.sremg,0,253,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.sremg,0,253;ZONE_CODE "ZONE_CODE" true true false 4 Long 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.ZONE_CODE,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.ZONE_CODE,-1,-1;COUNT "COUNT" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.COUNT,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.COUNT,-1,-1;AREA "AREA" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.AREA,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.AREA,-1,-1;MIN "MIN" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.MIN,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.MIN,-1,-1;MAX "MAX" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.MAX,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.MAX,-1,-1;RANGE "RANGE" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.RANGE,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.RANGE,-1,-1;MEAN "MEAN" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.MEAN,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.MEAN,-1,-1;STD "STD" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.STD,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.STD,-1,-1;SUM "SUM" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.SUM,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.SUM,-1,-1;MEDIAN "MEDIAN" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.MEDIAN,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.MEDIAN,-1,-1;PCT100 "PCT100" true true false 8 Double 0 0,First,#,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.PCT100,-1,-1,ZonalSt_temperatura_media_anual,ZonalSt_Temperatura_Média.PCT100,-1,-1" # Rename C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb\ZonalSt_temperatura_media_anual C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb\ZonalSt FeatureClass 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ZonalSt</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>cdexportac</field_name><field_name>ano</field_name><field_name>rod</field_name><field_name>sremg</field_name><field_name>cdtrecho</field_name><field_name>descini</field_name><field_name>desfim</field_name><field_name>kmini</field_name><field_name>kmfim</field_name><field_name>kmext</field_name><field_name>mkini</field_name><field_name>mkfim</field_name><field_name>resp</field_name><field_name>crgrrg</field_name><field_name>crgresp</field_name><field_name>carac</field_name><field_name>sitfis</field_name><field_name>juris</field_name><field_name>cide</field_name><field_name>consr</field_name><field_name>posi</field_name><field_name>coin1</field_name><field_name>coin2</field_name><field_name>coin3</field_name><field_name>coin4</field_name><field_name>sremgant</field_name><field_name>trechoobs</field_name><field_name>classfunc</field_name><field_name>dennom</field_name><field_name>dendec</field_name><field_name>dendat</field_name><field_name>rmbh</field_name><field_name>regplan</field_name><field_name>convnum</field_name><field_name>convpub</field_name><field_name>convini</field_name><field_name>convfim</field_name><field_name>convobs</field_name><field_name>vmdpass</field_name><field_name>vmdcole</field_name><field_name>vmdleve</field_name><field_name>vmdmed</field_name><field_name>vmdpesa</field_name><field_name>vmdtot</field_name><field_name>senttraf</field_name><field_name>inativo</field_name><field_name>oficial</field_name><field_name>nukminicia</field_name><field_name>nukmfinalg</field_name><field_name>SHAPE__Len</field_name><field_name>OBJECTID</field_name></DeleteField></workflow></operationSequence> 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ZonalSt</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>T_media_anual</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField ZonalSt T_media_anual !MEAN! Python # Text NO_ENFORCE_DOMAINS CalculateField ZonalSt T_media_anual !MEAN! Python # Text NO_ENFORCE_DOMAINS CalculateField ZonalSt T_media_anual !MAX! Python # Text NO_ENFORCE_DOMAINS 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ZonalSt</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>T_media_anual</field_name></DeleteField></workflow><workflow><AlterField><field_name>MEAN</field_name><new_field_name>T_media_anual_</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ZonalSt</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>T_media_anual_</field_name><new_field_name>T_media_anual</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ZonalSt</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>A_media_anual</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ZonalSt</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>P_anual</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ZonalSt</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>ZONE_CODE</field_name><field_name>COUNT</field_name><field_name>AREA</field_name><field_name>MIN</field_name><field_name>MAX</field_name><field_name>RANGE</field_name><field_name>STD</field_name><field_name>SUM</field_name><field_name>MEDIAN</field_name><field_name>PCT100</field_name></DeleteField></workflow></operationSequence> 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ZonalSt</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>p_media_mensal</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField ZonalSt p_media_mensal "!P_anual! / 12" Python # Text NO_ENFORCE_DOMAINS 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/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\x601880\Documents\ArcGIS\Projects\MyProject4\myproject4.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>ZonalSt</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>p_media_mensal</field_name><new_field_name>P_media_mensal</new_field_name><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence> ExportFeatures ZonalSt C:\Climatologia\Zonal_st.shp # NOT_USE_ALIAS "sremg_1 "sremg" true true false 254 Text 0 0,First,#,ZonalSt,sremg_1,0,253;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,ZonalSt,Shape_Length,-1,-1;T_media_anual "T_media_anual" true true false 8 Double 0 0,First,#,ZonalSt,T_media_anual,-1,-1;A_media_anual "A_media_anual" true true false 8 Double 0 0,First,#,ZonalSt,A_media_anual,-1,-1;P_anual "P_anual" true true false 8 Double 0 0,First,#,ZonalSt,P_anual,-1,-1;p_media_mensal "p_media_mensal" true true false 8 Double 0 0,First,#,ZonalSt,p_media_mensal,-1,-1" # 20240911 15441100 20240911 15441100 Esri ArcGIS 13.1.0.41833 Precipitação média anual Shapefile 0.000 dataset EPSG 6.2(3.0.1) 0 Simple FALSE 0 FALSE TRUE Zonal_st Feature Class 0 FID FID 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. sremg_1 sremg_1 String 254 0 0 Shape_Leng Shape_Leng Double 19 0 0 T_media_an T_media_an Double 19 0 0 A_media_an A_media_an Double 19 0 0 P_anual P_anual Double 19 0 0 p_media_me p_media_me Double 19 0 0 20240911 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvQeUXPd15vn7v1S5qqtzbnQDjUgEgiSYQBKkKIoUlWlZlmXJ ku3jpPEEe+yzs3tmfWaPz+56z+74jMdhd3TscZDlkWRJlCVZEsVMkARIAiRyagCNzrFyrhf2/F81 0Kk6gSAJSv35PIuoevXeq+p6X93/vd/9ruY4jsM61vFuwnGYTJ0k4uvEMCLznsqN9ZFTMtQ37ln+ GOUc1vgz4KgI/0ac4mnU1k++/UtLTmEnnsGemkBtvQcR3Yjw1ixxDSXQjbd9znWsHtoa9l3HOm4I SmYGNVfEiMwnKwnVUjGzcWhc5gCFAmbfV1Cid6C034M9fgHFJ27ItYlIPWrkMyh1kzjFQeypp6Bs ozQ/jPDVz38fb3wVfffHEP75j6/jncM6Yf0Uw7YdFOXG3Mg3EvnMCOHo5qrPWR6BR6ld9vXWxEnU jlZE5B7338LnwRq8iBa9cdcogg3uBnuxh89iXf4rhKcHpf4u8EdxJl5B6xQII3TjTrqOFbFOWD+l yBXLfO/1i3zmns2gKNxMEKUSSthX9Tk7aODJL4685kJp2oH5xjfR7/105XjhTpz8CJSzoAdu+PUq bVvdzclcwhp/E2FdQInEEDW/A5rnhp9vHUtjnbB+SmHmC5wbmKJ85yb095iwHMcmlegjWxrDMguE a7egKNW/eqaVp0ZZfoklPD5Q5z+m9f4brLGnUTs+fiMvff55gz2oShh78Bwi/FtQ/gpoXwZ1+Yhw HTcO64T1U4h0rsjXXj7Plx7aga6/c39iWa958+IgGyIZAjVtePSwvK1nd7AsiqU42fQQfm8TodpO FN279PFsG8su4QT9c4+yeL9cGseaz1gi0gmTL+OUUghDXseNh1NMYY39M8L7GPjawfxFKD0H6j4w Ot6Rc65jPtYJ632MdCrL0KkLdO/agjfgo5AvcvzCCJMTce7f3k5H8w1M6lTBV546zramMNG2LmLx c8TLGRrDu8kXJ0hbk5hOgYC3hUikF9Wz8lJNkpTIFRAhffkdi8OoDZsWvz6yE9KHoO4RbjScXD/m madRW25HadlReVDrAXsacn8JhVsg/Nn5hL2OG451wnof4+JonO8fHaBnskCoJkTcUdjeWkPvlk42 tr5zy5R4KseLb15ie0cd+7e3u4/V+fZSLMZJmON4gxEaRSvKKkhqHhQFtbaR0uQARkNn1V2cUgE7 dgTh34s1fAQl7EX4t4KqojTcgjX0Kqo5DVrd23qPVt93UNoeQvhm8mlWBKW5DqcwDuIqKQkw9oG+ B/I/fFvnW8fqsE5Y72PcsrEFw9nDC0cu8PgDOwmF/O94VTCZzPBffnKaLz+0jYba+RUyjyfqbm8H qjAoKgmWUjfZo99HBJtRGneBnce6/B1EMIvSvG9mjw9gJ55Fqa8k5K//Qko4qbFrhCVCURTjUcqv /zFqz4eqvGAKcufBv+XtnXcdy2KdsN7H0DSV7Vs7SSUzTIzHiERufIVsLk5eGuf0+SH+p8d2ukvQ dwK2VcQrFr8PJx/Duvwywmeh1B8AoYAaQN34C1jD38JJ1SHCG1Hbe7AnL2HH+1GiG677OpxcHyJ0 17zHhKaj1AewE5dQanrmPKGCthus1yFzFGwH/A+C1nLd519HdawT1k8Bens7+PNvv8LvN4TxRZeX BFwPSmWT7x06j6oofOzBXXg9K+SY3gYUR8U0s4siLCkpUJpbUCK73OXfNQgNtenDlA//CfgVRCCA kFxauADR37r+62h8BCf1JtR1XlsCOplJlHDXfLJyoYJxO3A7FN8C+3ugfuy6z72OpbFOWD8FqKsN 8dsPbuWvfniUX//UPRjeG6MNKpZMhocnefbEAPdtbmbL1i7eadhmHk1dTIhOehSl9XZQqywW9RD6 /v+1sl82i5NJYE1+FSV2FlG79bquQ6m/DStzGSc/ivC3Vh5UTVCDy79QJuJTZfCtsN86rgvrhHWz wjT55guniNZGuL27npqa5W+A+o1d7I0VOHNhmN07F0YAq8ezr57j0GtnqW2M4mmIsmNDI098YA/R wLsjkAwUbMaVMzQXa1E8lRyZPXYClBzCkMrz5eFGWO72q5Tf+CuM+7pBvY5rFwpK68NY/f8FtfO3 Eb4mKcfFHndQ5H8uBTUMVorrgmNBoR+0MOgrv9efRawT1s0KTePTH9jNuXMD/PVL5ymXLQ5sqGFj TyseQyPg0VHU+YLQvTu6+K9ff5GGoIfW7rYltU7uAqeKmPSpZ4/x6qEzOKpKveZglYvs6arDuIFa LiuXJjl2ioCvGa2hGVWSybWqG4jyYRrFRpSIf/ZFdgJUHywhNq0GEaxHhDbjZM4h5DLyOiA8tagd X8I6/4+ovZ9xz69E50Z4ToVkhAZOAfLfA/Mi6HnIfQOM+0BtquTbloOVgNRfgFquEFU6BooNeqTy mPf31uUSM1gnrJscW7Z0uls+X2RgOsP5gUkKhRKxTJHbepvo7pjtEvb6vfzmR27nK989xO/+WnXC euW1cxw+1s/tezdx67Z2QsFK8nzowiBfefI1HtvVxmOP3kFLewMvvHmJ1472sf/23vl5o7cB1R/C 39BNMZ8gO3wcDIOQtxU9OvM+HC+KsWH2fGYBlFGEVl3msBy03n3YY/+AKHtR6qv3Lq4E4d/gkpV1 5asI/zacwhVEyoeQ1UB7COxTgB/MKfDuB+MRSPwheHdB7inwdIBdA57toCwhmnUmQd0G4Rm3Cfkn ccpgpkFfV9HPxTphvU/g83nY0u6B9rprjc3/+MxxWptq3YjrKkINtWixqUWvtyyb0nSMV968zP49 GxgYnODgy6f58pce5r8/eZihiSR3bGrgV37tw9des6OznhfOjvJ/fONVPn/3Rpo7mtAWRHXXA2+o yd0kcrFBJoYPU7qUQDgCv5amcVfUtaCRkZdTOI2Tb0Dtnl+xWw1EuA1R/BJO5q9xPL+NCF1fo7Lw t6Bt+32sS08hxDmE/AyKr4DRBeZOkFIOowmUmaWnjBg9Wyvb5P8FgS7IfA+MT4N3++ITmOPg37vg pPo6WVXBOmG9TyH1VndsaeUbB8/w+QM75i3xtNo6yoUi+pzk+3NPH2E6W+KzH7md9vYG7haCYycu 88zzx/noXZsYn0y5S8G5qK8L88S9YaZ3dnBsYJoXf/ImP//wHldOsRTyE/2UAwrevIpe24xQlo/M /LUd7uaYZYRQKKUuY578OiIaRngETrqMuuH6K25KQwO2I10dRiWdX/dx3GO17Mc8eRR1w6+6kaGL qgVTe/Y/G/6g8r+F06AWquyag/IZ8Nz6tq7tZwXrhPU+xubOBobjOV483s/9e2YT7a0bWlw1eqPX w0uvneVbR/rxpHP80b/7OLo+SyC7d3a728FXz/CV777Of/vffrHqeerCfh66xc+riuCFU0N8YHel WpgZHmJsbJRkOkWxsZ4uZQq9qZ7goE3MlyY//RrBYDuqLdyISUZQQbUevbGVQt8p9J4tqF7/NY2T hBHdhCNvbP1vsQZ2oG3+wso5oBUgApuwR46jhq5vWXgNdgwlumWWrKrukwdPlYS5zHNN/SnIPkft QYh8opKXyr8F3m55kW/v2n5GsE5Y73M8uLuLJ186w9h0mua6SgSxqdbPv7x6lntv6eTQuRH+zy/c 72qo5pLVVcSmkxw/2c//94efweNbvpq2b0sLXz94jGefPUdQEkxdHfUdHXSkMyg+L55IM6FAE0Td rA52uURx4gpoilzDYns00k4Ga/h1jKZ60hMn0B2NcOuOSlO0XcIa+wFOIobwb0Lt+PTbJisJ4Q2C Xl7jqxycxFmErxs8ldyTPXkcxApNzs4g2DsXP+7ZDC1/A1YSys+D/SPIJEG1wdm2xmv72cU6Yf0U 4IEdbXzt5XN8+aO3uzqksalpRi8O8KfDSf7jE/vwBuZU3Bbg8qUx7ty3BW9w6X2uQlVV9oZsnLpN bOuaI51Ywh1U0Q18bb3zHnPjiJkAxKm1KUwOMHzle9RPHEcPqCjtH8ehDqVOJrZvUNThyAjPWttr JMFOvIW6cU6TdXkEdeOjK5yrsHyiXI2A3QOl0xB6XJYz1yuAa8A6Yf0UIFobpjsA//c/PU+pWGRn Uz2/9+Wfw1hBkW6Wyvzombf4d7+z+hzRlo29PHnyTTa1tKMvtzRaBWTOyte4gfZAA6L7U9cqg0q0 hD39PCIkxw28/d5Ix7Zw8nkoS9nAKlX6ioqoa8bJDrgtP04hi2MrK5shOhqYYyvsUwfOiGxQXPk6 7IzsSwJ1XZclsU5Y73NMnj7F4eEBRMDPz9+xkcZoDd7wyjfC5f5x/uLvnuEzj92Gfw19gSISYYOi k5uaJNJaXTqxVkih51w46RGswYMo9Q9Vcj9XIQknMwSRrjW5qAo9hFLfjnn+T1F7Po/wNa7udeF9 mK//L+i3/Sec+LMo0SoVvoXQU1A6DoVIRYelVPlspZNESS4di7OVxSWFpE+Bsv0GEpYJnAXk305G 1W8Bckn6zniI3WisE9b7GPGRYV66cpGP7n8QfY0l+zfevMjv/vpjtFyHZ1Zrz0ZOnjvDVsuirmPt +qglUc5ijb6EPfpWdUO88hVQz0D8FRBSt9QLWmh1qvXG/aB2YU98H9QtqE273JaeZV+mB1Aav4h5 9v9Bqd+D0rKStCJdqUZ6/zXkXofCP0Dwk6AE5muwpGRBaYXyMHiqdSU4YKeh8AKIKHhX216UnxFx LQVZpXx+5rY/V3GYQDaIfxfKPaDeAcrNPQVonbDep7Adh76JMR6954E1k5XE9GScxpkk/VrR1NhE IBjkx9/6Bk984Ve4ETCnryByTyG8t6Hv+z2sS9+t5J7mrgj9m8DZCFYRMnKajQHaLas+h1LXAZHP 4hT6MS9+HaXhgyh1s/2RTmIMOzOB8JhY/c+htm9FiezBdhpRmj+6CrL4GvCxSjQUfBRKxyDzF+CR Gq194JkZXVa67ApkXR1XNZQvQPFVUDaC987lT2uOQ+5JOW6oUp3UqtnqDMxEUrJlSPqXHZghV7k8 lkRqYQ39AKV5GuG7uR0m1gnrfYZiKY+DoGSaiHAYf3jtobxjmRQsE/V6RaBCEAwEXSFm+kof/tY2 FNVYUXO16DrKJWxschMXyWVGaaj5GEpjE1hlnJwlvWbcXNLCc6PJiqKMQpZr6lsCmg8R3Iba2YA1 8lc45UfcaMuefAUnfRSlbhN2VkFt+yxO5nVE45OodYGKkt0JVJqfF1Uu5c3/A+AjwMwNL/eR2iq5 WTkoyNabJtCawTwCnl+o2NLM+0Bke8+PwbwEgV8DdYUfFMeE7H+HwBdAk5/FdyH2HQjvnYnqZEL/ BRmLA1IQPPe7MvfYcrajzKvZC45v35Aq7Y3EOmG9T5Ar5nn+5HGm8jZ1AQ+nhsZ4dFsDifQ0NcHw 6kN50+TU0dd55MHN83r4rgcf/uCjpHNjmKdfxYlGiHbc6ibSV4P85BXSmQH0sooSitDQcx+KPpPP UTREuAlr+EeoXUsUBKRivHR+tuS4RshZgmr7l7EnD2KN/A+crIm28TfdRml1Zm6qk+zEGjTRNj8A xStQmAYlC8EPS7fCOUf7JvDBmbxQFah+8Ej/9+9DVvp46ZU8VnGoEiH5dlb+fom/Be9OCK9ykEbx VfDsAk26SbwMjgHhjWAPQ2kM/JKgxoHumXzV0nDyaURkDoFaJtbw86idD3MzYZ2wbnLIQQ+J1Dh/ 9+LLfPTO++lprNygj+1I8NXXzvK9c2dp9Rf5xXvvxWMsPeDhKgbHR8nl8+zbd/fbvjZvMORuNPYy 3X+Y1OvPELr9AMJREDIpXo0QHZv0pWNk8iM09zyI8Fe5kYRA7TqA2fdVrIHvo7Z/eHGS3bcJrEsw ccE9//Xqs9SOR7EGv4kSkcs2dV5UIcpxtB2fqERCRn0lKCmVFghHL0kJLbCcPssEbaqSgNc+CLk/ gfjvgt4GagfEvwtqI3g3ga8ya3FF2EkoHoHIvwJerVyD+MjsHW3MicLsp0CNVyd32bOIjfCH5Kgl KE1CehDH1wXliSrnlVGY3GQF18bJ5RHBJSZjvwNYJ6ybHOdHR3nhzFm++OBDRIKzCXLFqOEL+ytJ 4H949Q3+5fAz7N91Lw2R6l8eK5mk5NjEh4fYecfa+/JWQm3braTCV0gMHZPrVoTHINy4FVWKNmdQ LqSIjx3HqGmgufvRFZeQ2qZfotz/JIpdRCystsleQ1k1lAZ7bwNOYRonPYHjTLmupkrkIUR0ZsyY V4PkGNTMiZwWSTmGgY0z+aFqy3MZBZ6s5I6Uz0BWujk8AcE75hxzAspvSZtTKB4Ez/4VrjoDyiUI yxzYM1AaAeNLi3crX4L8ITCaQalZrBApnoN8n5vHEjLPlXgDavaBP4hIvQj2JayB7+Jkiwj5WWia OwlJErhTlkv2PMKfRg3+Bu8W1gnrJkRm6hTPjvj42K4eWsI+Qh5tHlnNxY+OvoafDB+7+2EOnj3D rXovYX8Ae3LS7aOL913gWMBLrL8fA8H02dPE8jkOPPCBG3rNQjeI1PZiqTESU2eInztIbOIErS37 XfGonYgxOX2Epuge1NrVL+Py/l6CQsMxS4wlj2Cn4pghL03KRjy2iTJ9Dmq3V26mObAGLiA0G6V1 eY9188x30bZ8YsbvSib555Co0gu+V4AnljmCJJenZOwq28UXPHdyRkLwyCyZlZ6C8K/P301GV6rc x4L80zD+ZYj+azC2LJFA/xewpIvFFyvHdZ6ExPNQc2DOG5Pyim9D8FcrZLWQrXLTUHoBIr9WiYTT kzjFHyCClcjboQZ7aBJt435EW3j25W7UPPOPcgHr8p/i5BMI37sTZa0T1k2ES5NxLo4Ok8hMcXtv pfoll3mOXSadHic043Bwbf/xMfpjKX7z4UqeYWfHBvoGLuOxbDKpFM7ZU3iCQXb4/fi37CAQjcLd +7l49jSHj7/JbVu2o83LxVw/zOQ0ExNv4Ak04Au3Unf/b2ErgsmBV8lfmCRfmMRT9lCsK+IrFBCG LO2vIkmvaWSL45RyUzQEtqLXRXFsk0xxDKvcQ1CN40z/ADuXcWUKwlBx0glXJS98AcxzL6GEanCK MpH+Qbg6Wt4sYY3/BKWuDeFtqZ5cVvKQDC+p5K9A3rwPSOOemeWhdNOQ7TY5sE8Dv1wx9bsKqxkc GY3NWb7bhYreTG6+D4HnXih8vZLncslmYubYYmb5+QUwz4P1QzBtUNNgSYeLSvSDFYP09yCwT6pw F12xU0pD+k1EpP3a+3ZXjoU8Vz8F4WlB7diKnfkhaujnF+VInfgIduplROPH3zWyklgnrJsEPzzZ RzF+juEs/NoHHsYzk4D2GD7u39zFt46e44sPzCcszSngoXjt39FwhIB025QFa1WaykmDOQexwIVh Y+8WzAvnOHvsKLesIZclq3pySSC8i7U+QjOwMKlrnbVJkV/+2pY9TF08SPO2R3GsMvHJU0zGj+FV IzR17l9FUa+GROoczQ33XJsWLRSNkBxkKjc3lzKEPfjn6Lv/sHJP1xkV1bxjowVMUAROdhDzwn9G 7fgcIrwJe+otnMkM2q6fW1qEasmK5MWZhPpykOTz4Iy0QbYACSgfgZIkqm9CcE5EZcRALGgTynwN ytIbrAGUzhllu8wB/v2MDKFZtroDwRkpggHGTnDkkrAE+W/IcUIw+OfgUcFfArVzZqm6GPbgP+Lk NZhOo81oYZVIPU5cRpxH0LbdVjErbLgP8/w/zQzkqOxo9ct+yqM4yTHUDV9EhKqxuYM98RpKw96K 5uwGYp2wbgJkcwmuTI7zm/c/yKXpLH/5w3/m335sVk/T3ryJhuFp+sZG2NTcgm0WUeSXXg9zLi4o myV0zcCxLKbHxkiPDONraaG5vhHDV0VIqKr09mzi2SOHaZ2eorZu+dHwEnapwFj/CyhCJ1jf7VYD pUzKEH6MUL1kSJyYTOzOopxNEDt/kOiGW1E1D2geGtoruqLRvqcpjg/gaVo+B+X3NWHGxyglRvDW VttXIAIdZGvuxUiO45e6qqvJfhk96JXIQIR7ULt/B2vkXxCJU2Bl0XZ+avkoz2iBwokVP5ur1zGv EmeXwPdhyH0LSv0VzVX6GBgycvZBuQ/KUrwpK48dUCuXdw6U5BKyAJ7bgDHIfRfkpGlXojAHMpKS otLCJNg7oOGhyuOFFBRfBP/9ciotWNIccM4SvPAmSsRGbPwVrP5nXGNCpfbxyhizll/AGvwWTqYT EWzASQ8g1CvY8QAiG8dODqAEbPDei9q5cUnJgzX0IhQmcPzbEMF1wvqpQ8Af4TcO3OV+CXsa/Zyd XixRuHvLNr728qsUX3sF3QihWynSnhp+/f7t6MLkcnycM4OX2WAFaNmylcylixwZG+XuJRLsimFw 957beOvlF9m8cw8NTfJXvDqcUpHJwUOYhTStmz6IaeaxMynUmijxkZOUL8fdymB9x6zI0SrmiI8e o3bzvej+xUuGmmgvE6U+6ope/J7lW2VCLbcQnz6JbjVipmPkwhDO+1EDs8eNdD/K1MRbeK0WFEmO VSD8te6IMHv4L9G2/AdQV6iqzjhIXBfsiYpljNgO9k+gsBHyRZAjyrL/VFmq+eSknVBFM3UVnrl5 sGYw7oTSG+Cdk5+ai1QfROZEUt4wlLdD4f8Fpxk0A8oyStQrFUGPjpCyDPm7teED2BOnsae+jWI9 gaiRn49soB8Ew48dewm165exk+OuiFft6kVoUZixAlr8ni3ssQs4uddRwp9ASLnNDcZ6hHVTQCCu JntNE4+5WDBYGwzzrz40O8CzUCrw5KFnODHdR3/iLM3RTXx4605pKOU+H731Nk6/+hKJkWFqqvT8 OY6Nodn0bu4kN3aBYtSLk89RKqRwpmPg9WAL211Olim5kY4n2kIuNYyvph1va4XgvJvkUmgxpBjU H2hGDyzOoZSKSRL2CG3RO0nk+ymWEoS97ah6da2Q/GzKTp7x7An8eh2+rA91wfQcoep4SipWbgol vISffTGLE38Bpfm3QFvFVJtSH/jvYy2wzGms/A8wPLeAEoLgg1DaA+W/haAcbT9YiZYCj6+usdtq BGeZ0W1qcCavNQfBDRAbgboZ80DZsyghI6LyJBitc8aZbceZnsIa/jaq51NSfIY1+BOUVA1OKYpj eRD+Gjc3aE1cRij9iGArwtvg5tyccsa1cnayl3Gy04hgAeHdjdI8x+XiBmKdsG4y5EplbulY/pf/ 2MAwp848x97t97CptR3VKSO0xVYsd2+7haOvHWJD/BT+gB+/XkuwrZKLSI6fxsqmCIRb8PvaKIz2 o3kCaMEIWk0ztipQyjaOqhB0FDQ94KrSC4kRpgcOU992B9qcCGcuyhMjZM1pGlvma4pkpS+RvODm lBoiO1GMALXeHe6I+1j+IgGzAZ+nYZ7cwXGKJOwBHM2k0bcLbQlSk7BVGyfxElZcQ2173FW1X0Ox iD3014jIAyh1Mi+0EmT+rw/UtUlA0qVLBGTi3FWez8CI4hR24yRfQQkb4FbiVina9cySS1XIQRWF QVgYVGptlRYgo3t+g/UcsroKUXc/SsmD1fdtHGsQRco41CgUVayBv0fIvJoqya3X/UGVhCa0FK7C Vshj+0AdQO34DKi1axoWslasE9ZNhqJtsqlewbYslCqDH+LZNOeGz/OLH/qlOY9WV7mHwxFu3bqd kKbj+LzEzUGy554mGOminIvTsOGe5YdLLPh2KCj4azspTY9StgtLfnnixStEkUszeV0OllXCouwm z8NOHd4FE5nlePs6SyNTGideihEJ9uAoDlZxmIR5iRorRNlQsMigLaPYNvN5lI4PI+JnsQb/BrX9 i6D73OqZHXsaJ9eLunGVE3Rk2czKVPoX5z7mpCseVguTyY5JPn/GjQZ1be4S14HMZUT+MnahFjpW 8NNa8npkK9JMq5LM0cmKYDEO5R9A6Bfm7ysjqcAvQfH7oH9eKmRXPLyo6UEkfoDSWIeo+SxC+tQv AVX+bQZGUTfdjZCj2Kwi1uDf4RT9iOA7SynrhPUuYmAyRb3fwB9Y+gsUDYbobmjixNAVdnZ2ky/k ebPvPIamEo3W0j80QGedw3RqiLrwCpGCohDpnG2wraeWvLjCZO4s7U0rkNUyCDZsJBHrwxeqnvfy +erJFTLuj74cK1ZKjWEGDOoiO1CXyBsp/hBhgmTSA8TSR/FoAkfRafDehaKFqSmlSKbeIhr0oc3M K1x0XS1biI0co7HnPqwrE1ijb6B23oc18qzrlqDtXIv2TBLEnN46KRUoPuPKIdCD4JGJ8NkfilLx EjmRp9Z7K5gWlIsVcpPq8fJ5iH4WMt/iuhA/D875GQlDGQy5DDTlBA8ISMvmKuSitUCxDawx0DYs /07zeezYTxDh+7GTU2hNKzh4aA2I4BEoToEnhDV8BMrysXd+eOw6Yb2LCAibP3nyNT55z1a2bmhA malmZbIF/uxbr9DV2cRHbt/Ihq5uTl6+6DY49/edpzcSpaG5hZGBfsZsi9ZAJycmL7NPBa+vCUVZ fSXGCntpEttQAtc/kEGL1GKZOsmLRwi09qIYPrdqeG0pF5MJ+coSVT7mi14lTcfNnV3733KZYmbC jf683rpKS45toFNPODjff90wwng8YabzF2jyLJgwMwNvsJGJw09SbtqBKq2NxQXMSz9C0adR2j63 tjfpFCtRlPRolw3JqWeg8T+Bvx6y3wHzGOgzVsipFzG856ktnofSP0MxAF5ZOW2qVPFqnwAhpRZr 7d10IPdmRfJQ+0sVcaxdhrIJHh/m2IsoSmxRAXH2A9kJmT+D8B8tIy9woDiM4o+AdidM/3X1pvM5 EL5mVL/f/TGSUGq2I/yyqvnOY52w3kXU1dfwB0/cxTMnBhhJ5XlYDnOwLP750Hk+dOcWGgM6zx27 jKJpREujHC0X8eTzNG7f6Sa/2zdt5vOuHgeGEn7Op5Ikh47zQO8HpR/xqq7BsA0KIrEo5bEmCIUG fSN8MrNBAAAgAElEQVT5uhTpqYs48QROyIcqNALNm7FaohiT2UWCy2x+FLOUdfVRipQiqSqmZpLN DeE346hlwUQujynC1FRJj4W9myhk+zDNLFqVnJ1EpPdOCplJAo6KUxhF4EXpqNK2shzkJJvk31Tc SRPfgNCd0PyxWTNB36MVnVX2hxWRaFCW+O+lpOYoZl8jXHd3JZfj7jt7WCdXWON1yNmEFjRKycMM 5N95xklWaCGcgpRGLAHZp+j9AuS+Dr5PLJJGOIU4FE7i5MZQGh533VJFdAPWkOxt3I3SUIcwlhCF Oh6EUdGTifC6cPSnFrrX4EO3b+K7hy/wt0+f4HP7NnB2MsNnH9rlpiZa2xoYnkjy3565wr+/tZNQ bwBRpYm4vabV3b43dpRyOYXuqcwrXAkyaZ0rThBm+ZaVlaBEaghQQ6CmE9odGTNRunSeicFXCXiz xGwfpXMZwj23kuo/TjknI4EQtT13z7wfQSZ9hVJhmrbI7Qi3cdtB9+d5pu8s26qtdrUgEW87+dww oXD1CTjaaAJ6dJT6u3ESJhSlrmkNkBFV7q8g+DjoMjKUWqMFn7/sa5T9fh4pWuXa8x4lQIwyhdSz NIY/XHFpmIviGgdhyCVneE7P4UJoAnFVub8UpExCvwKKVN3vu/aw2fctnOybKIHHUbs/CVJo7HLc x7AGX8Qe+d9RQr8Bxuxr5kEWLhNSpMq7ivUI6z2AvF8/cVcv5wam+Pab/ai+MqZlomuaezO3N9Xw 83d0ugM7q5HVVYynkkyVwoxmbJplu4UQ6H5/xSlhCSiqx51QUy5n0GUu5ga9Ifl/no1bCV7KoJZ1 GoJdlDSH+IVXMVo2YHg34J+xJrbMAqlEn0uejfV3zLGkEfh9frZG8ji5bNUhFLoWIVcaIZU/TsCz CVWZf8cE7nwA68r/AHM3ItwB+cVDZa/CtvM4Vh4hl0WKh4I1gVU8TUDbg6L3rOaNL3qk2X+AUvI8 TvlNhHrv/L1rOnGSRxCRG7R8si3QVqF1UqTe6oegH0GJ3oZTuIgwCmib/qjKzgK14wGUxl1Yl7+B Fl6CsEq3gf402I0V+ca7hHXCeg+xpbOeLZ11vH7+NM+dOskju/fMicQ8JKanCLUvrQQP6Aa1pQAi neaVzDCWEORKJfZ1dtO0jHo97Okg5ySIuK0eNw5OJkO+FKOp98GKLko+WL9Yj5NKXyIQ6cKQWqgq hFxf30yBDL7KjJ15UFSdmsA2yk6K6czz1HtuQ5GOnnOvo1DAKRcRHgUKaqWjZSHsEhOZpxBqAKw8 JU1Bl6adQkMpve5GL9h14FnbCC5h6XjEq1D68Lx2QffaG/ZTfu0/Yjx0AwjLKuOUXkfxfWrpXYa+ hxIwwGfgpATW5f+K2r0XpyBwyipq+Kvg/5QrEl38RspgL9MBEWiByZaK++s6Yf0sQbCnZzPfee3Q vEe7AyGeO/wy7fWNCG/1ylrQ50MLBIhEajiwoRIRmOUyhy5foGRbtAXDKFVac3RbJ1dMLqWGuG4k Rk8SadzmktVSMMs5bKwlyUqixtdNYvoUXl9DVUNAoegY1FHnv4ex0us0WnegXXXdk7mywE4CqoEm K2nGXBdNByt3hpydxLRzePV2any3zWtAHim8SES5H8WW3cBvgN0GyhoU294A5OqrClOl8lvb8ThW 37cQ0S4Uabanr91TX8IpJBCiDuGv3iVgXfp+xbFKNCCKKiLoR93Ug1L3QUR4G06uHyf7OiLzUkUX Jge8zsDJTLrzIWWkNQ/SFHC6D2q7wNMB/i2QOQHR6uLhdwLrEdZNgFzJJOib/wU3amtpqKtnamSY hp7qTawSextbuNx/md3RSpJX03Xu6O5lJDbFy6dPYJaKlAMBHtiyHc/MQFAp4FSCq5+Us1pE2m5B 8S8RtTkOqWQfGXOSRt/2Zd1OJUmpUqlYKrrVsKWgajU0FjvJWxOE5hCW6q/BVh2Q29XqmJmB2DdR PLvwhXeDbaK6oscZKF5X96WZJkpQNu3K6MwDpdfAu0bXTZkUn3vsOVAaP4gTGnMjPDv2Mkrj49fn /KpY83Nk0n1i4HlEsA3KfuzsG2hd/wYRniXE8ivfR91QGWgh/BtAbqlzkPkGhL94zaLHych+w62I YDdkRivLTvEcxMtQfxckXwD7Lgh1wcTBtY1Pe5tYJ6ybAC8de5Hu1vmklMqkCfr8DCjLmwA3KRpD C4IQj67T3dTibhKFTJoXzp+hu7aetrp6ik4WjykTxzfoDUj1cyGL4lkmAysEAU8Tfl9zVR1VYvIk Ia0RNToTMcgR9nKW4DKEJaH4N2Ll3wBjdoahrdgImSy3jIqDZmEUYgeh/uMIo7bypa9StVc9bdjW WcpOGl1EKs3F1vNgbQO1pSLWlB3fKym5C83gzcqGqqqfg/C34BTTOJksNEiH09Xp4ZyCnFFoVsSa xYLrmODkB8HSsSeeBF8P1uBLKA0e1NYvzSMrJzmFkENHpBRhrv7O1wCxq8WDmX1tEyH7DiUxSR1X SYpoN0DzjLtG7Sch9SRYZ8CUejVZ/VwnrJ8ZJIoKI9Pj7Oiazfckkgn8Hg+nYlPsaW5DXWJZqDQ2 Upu86Do1LLSRuQppY/zwjt2MJeO8ebmPnJXgvtbemTHMbx+p4VOu35Xl1WluuRNlCatm1bf00ipU 08P0+BEaI/UVuxdFwVLtFX9RFXmzOwLHTCNmEtClUoqQ0lPREsnSe/bHLllVFVguQK1nN4XyKLon MuOk0Ab5c2Cdg/IQ6J0QWaIR+Spq7lpWx+QkJ7Em/wa1/okVPcGcfBJ7+mkEaeysiQhGcGKjIEyU OoEzcQGnPOnqoJSWO1xerQYhP9f+glyTzycs2daj3TPfANGOYqeeRZFyjvATM3Y3c/52stUn9Ak3 90dLaNWEeyOwHmG913As7t+6kb7J5LyHO9s6SI+PkR0d5JkXnmZHayeRnh48hoEuu+WvLiM0jbDs obPMWcJyHGy57Ls61MEVvSu0RutorallbPo1jGqJ1lWgkB5nou8FvL46CiEHtQjl5CQbtn2SzGQf o1eep1btwNez0H1zecjGZ0MPk544gx5pxjLzqHYQxyljOSUcM4GmRRFSgDl3uKqsLOodDGd/SKvn AIVCEcOIuNOeC6kRyjmdcPSTYERWdx1KCLN8BlONoEn3z5rfr0gbcodA318RkK5EWAsas+e111hT YB1FsXoQETkcYgmYReyJo9hjzyOaPo4It6C1zxCu7O0uSUfRoxBc4Vqunjo+jlJfD8aCsFpJQDkG pRqcTBxr8hhCzyE0OUrtHPgOzCera+/RU9neZawT1nsI27Z47uQxEgWbD9yy+AYP1dbRohncs+92 Rqcn6b/YR8a2CKka9V4p1BR4/H7MXKVXT5lZ49mFHKmLR6i55f5Fx5TOCB4liHId1h9WuUAicZ62 TY9g2yZ6uI7pCy9Tv+EAyAgwHEbJCRKFfuxhlUBz7+rbfyyLoNFMSVpFlVKU7Cw5R6GUPY4q7VfU AGa+313qBb3b0OfkrAyjFb/VzWT5ErZVcb5wUhaqohNsfnTVoloJVRgEjI1MpJ+m2Xe/2z/pwj/T BF14zm2knj81Z5XIDULuIMK/C8t8GaaPo9TtWpzDkhNrxn4IRR11228jfFXIVsj83Pyl3HIQ0Sas URU8P0aE9iM8QZz4mwiZJ6y9DcojlfffLL8zumvFQ/5NyLwFEWmDc3NgnbDeQ+SKRUbiMT7/wBJJ XV2n3uvH1DV6NlWEkrIdYmDwCqPxOGXHZiwxRY/XoHT5GZob7sBT04wlm1EV2913VpPlUMzHyKQu U1M/Z/ioUxF9Vpw73aaZSiRQKlHIjlP02a4djJWcxjIERa1EaewgddHtqHYYLRRlOn+RUGyU6Ynj bLj7i668YXTkFUTCVzHUq4YZN1RpYSPV7/HRN3AiEbSE1FoFSJPhrdQQH2rfLysQldfIHLg5RSr5 LAGtHSOwA0XKEuRSzrePifHDlNQsfk8TkeD1CmOFS4D19j1knBQhx6po4a7O7AtuqgxumOdbtUqU z0DNR10rZ23HLVjn/xK7YKK07Z6NGh0b68qPQPejbpQ+70tBqTRjrwHa1l/FPH8Qkfg97MlaRNCH 2vsHFdGu0enad82/3p1Q/irkg+DtqbQXvcdYJ6z3EEGfl6KlUMpPYfiqa15kv+Hc319JQF1d3e42 F1YuTXziJNmpS1iOiV3OERs56j7n+DxoHj/J4gDBQDPZ5BWXmBxNQVjyl1q5RlhCJlE1mfvRUUMh ApZGWPaOhbzEkmeo8zfgqQ2Ty42RmDjlLr20rEnRW8bftZWcGcMfrKWh+153Qo4nWI/qmX8nFMtJ CqlhZC3QUh00YVDfsR9VMSiXszhWiY2eXi5Ov0jOsuaJqQ2tllDkAKadZjrzLGHvbpdghNDI6mkU xcAu5igbKfQ5pfq1Qvd0kcm+wlT2WcJyJqqdqOT07RQoVyre7OUEaCGY584wh5AL0vgu7/bqocnP t+iS1bW/bfvncJKHsEaeRGl8DKEa2LEXEH4VUbvCUk/IIaqjYD5fme6jbgPrfGWcl14x6FsERUPb egBr5BRq9yMoMgJeDnIEm/OrkD0CYy9By40dXHI9WCes9xDlUp6QZmH4lm6rCTkOxXJ5RYmn6g9R 33XXTLRUIbmrMVNlYs1JWrwb0Dy1iJoZDZTLhPMJsYIFj9g20+mzGCWBv67i0BDyVHRfsonZyiaZ nDxGfrgPLV7Et/VedD1ATbCHgStP0dH24DXvrHRpjMLEReqa70C55lw5ez7ddSKooNkfJpWL45eV rGtQMNRad/MG64mVjqGkz+BRdqB6vNQ4fgK+zcQK/TS4dsTXB0mAEbUTqzhKXjuKx/+5WT1W/kXI /DHomyE3AMatoB2AzJ+AGoHSg5C7ILvdwS+jkjD2uIbSPf+GF/4wwv8I9sRBzHP/gtbcCo6O0iz3 W0HqoEVBGhXmpE3yGDj/MxgfhPzzEH5QVjiWfKmT3YLaaa/yg5DC230QWP3y853EOmG9h7Cl2kjV OHKpn1s3dKJUqRipLS2Upc5lDS0y1/458/+VSBQ95cNoWibJuxQsi3TqMprhI9TQUVUzpQWjtAQP kG/YwmTmNOWLL6I7Blq4lga1m/jwMerbbydtjVMoTNHQvA+xlM3uVTgmEa3AsekMg9kUOxt7MKT1 sepjIjNNUN5HvlpqjT28Nf0SLcFRajU/Po90Lg0SshqZnnzT/Twsr4bXCRAKr/79J1LPYek+LGcY VVoNu13MM8trmYiW21WUzkHpm6A/WjHM08bBeyf4O6GYwBz8zygNu7FGnnKn0SvhMCLQ7Dp0yinN 0pJY69qIkzmIUi9n/K1Sl2XXgUyOR6QT7YdmFepyIrT/wWWO48Mp5ZeSilXH25wSfqOwTljvIeQI rw/ffjcvHH2WwVCArobFSwthz+SU3ibkEAn3OEt88aT2JpcYIFDb7fqmF5yM26uWURIYwkvUKxPo y39dfMEWotkYnvYWVCNA+fIFEp4MRW+BidQxIpFeQnVdKw5QlcgVJlH0AA9vuoXpzCRP9x+lVEy5 05h7GjZzxlIpFlN4rSRbW/fSGO4mUziOMyOm9Pob0fQgtl1yo7144sczI9tXhpk7R86ZptX3BJZ3 D1bq2HzXzoUoxSvDcjwXQL8H9FltgTnwIkrdgyjND1UMAYXAKaSwx84ivPXY02dR2xWEa373GBSu gL5K9wNTbgsiJd+nIfNPUrQlfWCqvkz2qK4lYX8zYZ2w3mP4PV7am7sZjsWrEpbiMbCmpmCZIRES 6VSSWCpJS0MTxoIKloyClIKJWcig+RaINh2HfG6MtDWJ1xNhMnYMRxpWepvAdqh3utHmCBBXgmkI AprfHQSh9t5CY7nA9MVXCLZvwiOXo8uQVbmURrEEWXMCyyrQUb/HjZAaw63cbpc5Fxvi3vaH0WZy U+l8nEwxRXNNJbFvO3Ku3uxXumKnXCEwI9BLKneUsL+6l9ZcaN5uzOIhtzFaVf2okdnhGgvhOBYZ +xShwBOQ/bNr/YNOKYN1RVbkfChND1R+KGS+S/49AkHUja1YA1Ixfho7+THU7odA/qhkfwSljtlC w3JQwqCMz39MJu+D0n9r6VvbSQ7gRHpd49RFz7nymJuXFm7eK/sZQnfLRo6ce122Qy96TtV0snI8 eDWUpPulzsWBfq6cPcOuhibUKgMnXJV5sJ2p3Dma3Ukts7CtEvnSNA3h7e4X1fF3VH58l3F8WA6a 4sHWnGsDOaUzRHTDPlJXjlEKjRFp2bkoyjOLKVLZK673k22oaJ4g0aBsIansN50ZZih2kbvbb79G VhIhX9TdrkJBlxm7qtflSh2yfeSVACYlhOFHl0looqgLR8wrBoqc53i1MrgMSuVhTG1HZehp8N/O PiEdERw/ipzGPFcZ79jYo09jTx/BoR7KIdS2mdmQslpnSa3XdyqGfctFdRLBThibcUF17ahnsMws QHtqFPRhlMjHFz1njo2QLA9R17GEQ8NNgHXCugkg79/+eJG7yyWMmTl6156zbZTCYuO3QjbDS28c Jl8q0ixvdOBouUDw0I/paQ2iGwG0nE2gY4dbIfR2b4HzT5N1Lrluo05BDv2UAtMCvkD9tV9Vt9n4 baQrVNXnerhr0jNqBpo3SLT3Lib7XsJMTKNF51dEs3YMv1aHt3bxgATTjNFfOkdXoMd1HV0OcmZi pegwR7IhIwZNx9AaKIV6KZsxDOFDNu8UsUhxnijb0Rwvtp1Dca/bRugRHOmiusL7lbNWr0or3IT7 DIQSc4ewWiMXEaLD1TXZ43Ec5Rxq/a1oO/8DtiQbHkYYc5ZuslosDrjGeqzk4im0ikWyHZsZtroC 5OeRexkRfUD+URY9LeUltn59P1TvFtYJ6z2EJJvp+DDtTd3sam/i0IkXuX/vfE1WsVxCb1ncb/HG YD97NmykoWuxX7edz7pTmIvOKKfPv0ZjfS/NLW2u13lq7AzFeD+hhl4UXwBVRPDoN25+nCjLXrcq jysqNW27GBt4mTbtACI0uzQNezsRvio3ipUlWTzBZt9WzgyP09C0vDe5EDq2lbg250+SVSpxnkj9 DnQlQlT6rS9ACgvbyjBdfAtbOAi7SMiuQTc6EAsN+FaLdAzMLGr3b+HkMqDI3FXcFYpqXb+C8M4Q m1aLPXYUpXlBbk1aK8dPrExYEpYPlFUWZWTU6LFxytWX+CWPjSGn8NzEWCes9xC6cHjm7ACbhs66 +qpDQyb3L0ixyOhKK84f5ukUi5w9foz9H/+5qseVRCRvf70twrZwKy+9epDzoyPoZhkzZLMn2oUv 3Lqq5PdaIXVV6hLHNQK1BJu3kEkPEQrN+kxVs5CRmCoeJaB34jNayTujFEtFPAtbS+ZA15tIW4NE zXpsu0whO4FlrNCrh02sdALDEviVKJreQbx8jnp15VyXjMTKpXMEtDnyCTl41XkGDOn4oCICkgAi UK5DabiMeflbaJt/we17FGoLSviN6rMGfb2Q+BoY94KnvXrHQGEATOmoukrPLrnM1+ux+uRk5iso DW1YI4Puj1vZqSFm9uOLtKOmC3Kti3fjDneJfzNhnbDeyw9f9/LL9++nbyqL6hRQhw5z+MI59m3a fM1p1EbBCcxmR6V6/dTpk2zZtmNV7SF6KMxDH3yMTCzG5PgoA+U85dQEMTVLbd12xI2eISebsJcb YCALlYGVIxfHTFEsj1E/M8j0jo1bl3VSldCUIOX4MEmhYahBNF+YgLZ8xBBkA5q3Bo/tI1U4TsC4 lWZjadPEuUgXTmGUi2jSqeDqnyL7AjhbILDAEkj3IkIHUNW3KI4exLvhMRy7iJ2Rf+EqCOyAYjOY J2FqAOoXTDmSxnn5Q1DzBGirjwSVyH0otV9H1BZAy6N2tUp/I0qmFyUdoMbbjukRbgO7assmdG4q rBPWew2hsamh8iv8ux/9KN9+7QgDr73BE3fsdXVZfTGb3u7ZitGVgX6Khs59O3at4RyCYF0dzw9d 5pFtuzAMD8nzhyn4YviCy4+JXyuk15awqn+zpMg0P9RHzleg3H+J6M4Hqib3badMwY4RNGZven9g ZWsJoXgx5QxG+yyh4INouvzclr/jVDwERJNrNyOXhsnc6/i0NjS9HmWJVhRZGTTNSdLWEK3hR+aN +3KtWGR/YLXr84UomZspN5XwSn1csBlreKjSYlOtqid9+j0PQP6bkHsZQnN6Qy0pU6lzW3jWBFVH BGRV1YsI7HYfknwnF+jOlSFSwSnqw7eu+OPwXmGdsG4iyBL+J27fw5Fzb/LUW2/wyK6d9E+muHdH RbBpZrMcPXWCB2/bx/SVfkKRGoyI9G1aXZZcFEuuI6kkrED3LibPPYfRewB1OR+rNcCxyhR1k2C1 ZmNp4DdwHG+4iebmHa6YdKr/EP5QM4ZR444Ok7CsNFOZp10HhpB3bf162ewQNd6deIwgmfJlhDlM RI66WqX9SW3wAGVzkkJ5kEz2RVqjCwaUSthFErnXXG/AZv/++WRlpivGetKttErkapp54rk+mupm Bkt4PCh1j+DEn0XULtM3WP9pmP7RfGKTU4PsBZKGVULIymp5sdd9+M4PkBw+znT/K0Tb9t6w78WN xDph3WRQFY192+7g6beO8fv/8A321G7DmBnrdPTSAMPlAgcnRmgpW1w+8SbxfI7PfeAxArUr63ay +Sz+meWlpvuo67qTofGXaGu8B8379gcJxFLnCPqaqy4zZa6o7BSo67zD9YCKbrwTK50kHbvIdOIs YtTB1mwKpSSdwc14O9fuEGCVcoQiPe6cxhp1N6nMISYyP6ExtLppy4rixWN0oIsgcXsQ286izCTw JUrmOJPpn1ATuIeAMX9IhWlniDvfpMF5cEmDv1RhgIbgDsQcCYLadh9M/mNlpNdyrhL+YkWj5Xuo 4jQqz6Gtsr1m4fuMdmFdvAjzrfBdRNp2kRo7TXL0BLUbltafvVdYJ6ybDMlEhj/+4Qm2t0S4u+dO dE3l3//189zZHqausYbfefTjFSsXQN7SpVSSwyeP01bfQM/miv3tkvB4sUolVKNywxihOlrVO0mM n0I1/NQ0bEHI9pfrhFeE8MoBolVU9rHYaXxhSWaz0Y4ailAT2ovUdZup6crcUDVFMZfHY8/PheUz o5RKSTTNj+oPuxY5FWJ0KJXTFDJj7ntQrpGFIBy4E708yHTyB9RFHl/1+1D0KG3OvcTyb6CJgCuJ 8DoeMvYYAc/taHYUsyxnI/oq7pyqQaZ4ljo+ArVLeKwXM6gmqNUGLhpbIX0YIjOOntXg+ZArMqXw DRANIELgLOHWtwIyA8cwGjZWM111EW7e7op90yOnCbVu52bCOmHdZAh5VILY/NKB2S9KTdBLkw5b ty5OBhvhCJt7NnHu5LFlCSuby+J4jGtkdRW6v4a6jjso5CZIpS4TqV2B9JZBYEZxPhdOuczExRfQ i4LA7sWygqvQwpUG8JATpVC4wvDEiwQCrUScJpRwDdnCGOHIJtcaOJ8eJ146SZ3aRVKdJuFN0u7Z is8dyDBneSwUfEYXSfM8tpWd1UutAprRQp1e70aG6dIFkvZlauw6hOknLybJkaTWbmHSOUmtLm2n J1BCS8sQEsVBwlKuUA2R3ZD/C7A2g7pETlHxgrIX1O0VB4jsc+Bb20Sfq0inY4SDrcvOIIl27KWU nORmwzph3WRIl2yicjTTHOztaeTvXjhD76ZW1LlWtldfk0yw55ZKAnUpBPwB/KpGOZ1Gn6OBujZO PtBMmTypTD+q6nGN7ArJIVRvEM0bwScT2GtMxJpWgWJsmJJSIty0dVW5Nilx8NV30251umPsk84o zvhl/IHGyqQdPYRBA6FSJ7HcBdJKnE5rB55lige1+i0kS6eI+tam4JZmgZaVcvNW9fot6FolepTx bbCYJpY+QTTYQ5IRat2J3GJJl1ZZ79UDSy3bZTXuYazcU+D/COocc8LFF+UFOwPFMHjXOHHHtkmO nEJraiXQuPzcRVkl9FZpdn+vsU5YNxl8fi/9U5l5j4UCXrZENcZjSVobF1vRiECAQiJOuHn5JYKd y7mVuoUw82m3xzAU2EDZkqPkHbKZYQKRjsrQ08IgvjWOozLzKYanDmGUNGqMduK5y/hZwX9pLlQV T6QFD9Xfk2L4CFjN6FkNT/3ylU65pMsW+9Z0/Y5jMpl7AY9pu0SlzVGxS8hBGlFtG8XCJZp9d5LI voLXu3ERacmqaaY4TG3tzuVP6NmKLXzkixcI+xdPe7YLAyjmZZAKesZdmQRi+R+paj8glmJSX7+2 191MWCesmwxXxhPcuWn+0iERj1HMjzB4doqG4D70BRORA4aHqfwkKwkU8uNjGHdVdE1XUchluXL2 DbbsfdCNboyZBl0jWlG/S82WUjTJ61NufmopjZW0NS4mx8iWprATCUQ0QmvtHeiBCtFlD32DuH7U jbRuVPWpUIoR8a8iChAapiIJ+xKKf+WJztJHPpZ+loh3O57A0sdXhQ+vp9tt59H9veQTB/HVLPh8 ywn83ma3ELASVLWeYrnfXYYWSlewS1Novg2UzSly9jD1skdTtILxOJgXwY5TdaaSJUd+/T3FQoFM w+1olg+/K/GQ82E9K1v73MRYJ6ybDBfGUzy8d7ZVw8rnOfr6Yfbvu8sd/fXS64fY0NhMjxSOzqBc LKCFV26vKeUX9yQWbRszv/TXQA83UheMks0MMZU8ge6rwWN6XCuZa9dYSJHMXSIc7savdlVywgsU 6S23fZL01EWS46epvY4K4ELIZLd0O1X8q6tu+tQ68k5hxUFBcnx9PPsKPq0Vj16lkXxBVVFu7n/L FPbC4RPlMtnUFWpXGdEo0hlCGEzIyM7x4PF2Uc71ofq6aDB6XVPBa/C2QOZVqN28+D3EDyO83fha 7sQjDRbtMtnRC+Qs6b8lnWZVQp5mlPDN3YZTDeuEdZMhYiiYsYR0p3P/felyHxt6NhKpibpbW8MU jE4AACAASURBVHMLrx9+ldNPfpO9d9xFS2s7hUyG5pbFjcML4c/MX2pKDPdfwtO6/GtldCDN74K2 6Xq7J5mkPJUkGO12p/NMJo+52iKlSkPtNeg6Xk/U9de6ESjGR/Bc7clbBYJaD0Ol5/GXWxHL+E0l MgcJ+f5/9t4DPI77Ovf+7cz23rCL3htBkAR7E0WRkqjeLMmyozi2LDtuiRN/dpzkxte5sXOT3O86 cUnixHacuEqyZcuyitUbRUrsAtjRid63953dvc8MQKKDIOVCO3qfZ/QIxC52ZnbmzPmf8573XYlW M3VOZH++JdQPzsOgstMrHqFcGUOX9dZz+KMdGE2FCIu56MyDCqdxK5HxpxDtdUrQxLJI0NTaIReY rXGWzZAdaSE7fBz1qg/J61alEyhv2urNyLluLpFguPtVAuYerN1q9K5i0OswuBfR3r/C8E7AusIQ lbLoLdNLpsLCYgwznoSZTEYhf66vbWDYN0EoHMKs1dHW08UGQ+Oi4zrZdBpN/ewOoFyAPxeLcG3N 8gwbZBqB2uHFlfMQjnYwHtyPgWI8ltVLB6spaGxupDMHSDqC6JZpu7UYJFFCvYgO/oIQ9TjVdYSz A1gVIsV8pDN+RX1Bq55UPkhnw/gSR7Fp6tDPEOVbCDJfy6YrIkEAPU7S6YhSLzTKTsyXgGTyHFFN Fo+4jGPT5kPoHEzZhWUDZyDbhrrxQSVYLQSVXk/BihvJpVMk3EEy4QChgRaisRGchWsUHbMrGe8E rCsIsUSKwWEf6lXT9AWTfYZ7by7HwIkTFJVXUFBeqZSjXz+wj4zTjSeZ5vn9e9m5bQe6BUxX5cDm 9XjJys6/uaxSrzrRd44VJusFC/vlIYeUCRCTWnBb9yBOmZcuC6JIoX09oaFDaIuueVu1FDGZJSeb gl6CkYteXUwoegB00y7R5yF3A+W6VZ5lDzkyBGIHlIDl1W3Gl2xBq3YtOqpzHlaxBj+t6FirdFgt jsmsRa5JzdbpipFOh4hLw1h1jQoTX5LdgLJDqFITeG23L++AsnkgdE0qqUpxMmceR7P9c8t6q0qj xaDJU5yfzZ4aghNtSLkU2l+aHfivBu8ErCsE4/4Ij+49zR07GtDKrjULoG+wn6FElM2yLdQUdmy5 igMH9lHsLWR1aSkHT7WwqWEVesP8wnZckjjSdoZsNIogSQg2G8f8E8sUDp5ENNFGJt6Ny3oDonjp 7HixuBjDwGlyiRFU5mIuB5lklLAuhEu8tLa7ong/1VSY9zfl+KWxE062kUlPoDeuwKEuUAr2mmwe mbhcsF+Yo5ZNTygWWKIUQxBFolIrcY0sK6MnKnf0ptS3csoeyMHSDOo0upyDSOLEZOdWNGATi9GY Z88h5rJphXgrzp1EyMr6yKfAeNvk/vfuRay7fFebbDSyoALplYZ3AtYVgqFAlI1Fcmdt4atGSqVo bWvlunUblafjTKxa0cizRw+RFVTkZXMcPtHCjk1TKpZTGM9IaCWJisIC3HVupe4Vam9jbfklUA2y SeLJDtwO2Ubq8lX+tLoqsh0vIDQ9cFnvD0S7cJiqFb7YpfKqcskJUuLQdI1qCulEN1ahCL3aC/pG VDNkVbRywT7dLWsyzEOSMUY4jpBMkk2NoTc0MKwfw61XoVFlMGBDLSuLzj1f8o9aMFwY8Zl/PuWm wvh4MzrBglU/J1jKCVsMciYN0ZFWtLJEjvvTXDZisWnT2CsY7wSs3yDS8QQag550JsvwkI9C73yu kyRlONHSTnBigJWrG1DJw85zYLLZuXv3HvqGBhSpZCkc4mzbWQrMVixeL5l0Gv/EGJsb16CeoiUY LBYM65YhEDcDinKydoGb7xIh2MvIjvYrXTS5GH+pUBmNqBKy+/KlvlHApKsimOnDfSFg5Ugn+xTm ulu/bXYnbgpqlQFfdhhrJj7LPiuLRJRRCjXrUMs8NXkemRTJ9F7yxPVk0xKC2kpGGiObSyKo9Ija uTSExc9lcPAt9A4PFkVdYe5OqYkarUijJxHsbjSmj17295ILh4nIBjyRIYwpN6LsCr6IRtlvGu8E rN8ApFSabzz0GvuOdeNymbEYdNx87WpWVs4f3Thz5hy+eJodO3eg1S1dQ9HrDRSZzBSvWcvA2dM8 3tOFu12HzmxiTVXdhWB1uZBlX5T2/duFzNbX1pNLtaPSXNqsWiabJJnwIU4Vmi8VGsFKIn6IjLoO UW3Hl4wwEu+lzrxmwWAlQxStGPW1xKVBDOK05E2MfvTYFV34mbrysvN2P2+gS2uRIsPo5fWmuQYp l8QzL2AtDpOjkqh6fmdXhlw0j6c9uAua3pYF19DRx0iYsjjUJWSy4wzrekm3DaIuKsGtq0bvWLhp ILt7+7oO4lr96zVXfSdg/Rpx7K0OYuks/T3DbKrx8on3X0t4IsjLR9oxuuzzLrzAmI9nj/dz3/Vr LxqsZMjGCXIXUS0bUyTjvGf1euIaNQeH+xVHqLeLjOxKk5mtfnq5EItuJTvwQ8TSYnkgclnvkaWf w7EX8CiZ0GVmAFonharrlFlETaaEnkiCElM9wkWE/mxiBROJw+g0BQpRNEmAOBO4mc2xCkeP4FJX IGis5DQ+NKYN6GYEtEuBTNLNxEMkhIDihq3XuS8cd1aVQdCaLjtYpaMBRk8+h8FVgjaZxF4/qcyg 9E/LIBv0M37uIOlYEK0tD01KhcpsRTU1iyo3PJLWX79X4TsB69cIr8dOIBTDtrKclfUlysVmcdsJ GMxsNc3/KuxOG2tKXWgvIvN7HjatjuZkHHc0inlsHN2mbcqq6VqLldaebgpmdBwvB9FkG2aZG/RL gMpgQGVZT6Z3P2L1Tct6j5AMYDfK8sHLz1IW/DsaJ3ZxLa8Nn6XB4cUpC+VdDKIBvehBysbICAFS jOCkEdWcW0jKBLEbm5RcK4MNf6IZt24zqqU6jLIYn6hXamCyiUZGChJORRHTolx1IxkfR1RpGBl/ XSHsyrU7tazEPKXlngkFSMTGMbpLZ0nXLIbkqWZ86hG8JdsQvfn0tz/D3DMgm++6V+wiERwkGuwj GRxVgqRe7yKRDSHpBRzS27ueLgfvBKxfI4qK3BQtkGHfsCKfwx0j3JI3hx8kisQENUb14tnE//rq z/iTB2/CYdajNpvJjY+j1WpxV1dfeI1KFMkIl/80TKYGSKeHlJtJo7+8pdhCEBwryMSPkx0/iuBe Rj1N3QbJUpml+bY/WxRM6NVGdIKAcJEsRcqmZREbJMGAL3qWiJij3rQJ1QJuG6IyAiP3A0XUWNBl 5CViGLVsAzYHqdgEwfAZBLMKvdpNJNWJoFIjqF1YhALSxixGQ8GFcSizpYxQsJOcVk1ANU7aP0Yu JSElI8pIVWzgCA7vqnnaZtl0UrYkIT0xQtjXheh24TSsRW2dHObK9PfBAg1QQavDmFeBUe4jF6FI 6vR2P4tNyMeQyyOQ7SbU/Bh55dvQ2Zfh2vNLwDsB6wqAy2Wj81gfvuFxnPnuec2grOz+vAg+cv+1 7D/Wwa1XNyrT+D6NA4NWS3nVdPdPvh2jsixLIo5Bv7Ab8GIIBl8gqzZi0jdgEn7JfW9ZN7zoPWQ6 vw62RtBcpIouKyeof3n6TLF0BLNmYWpE++ARhiI+DKZC4qkARrNFCSadoQhXu3Wk0qOK2N9cmLSy Hv90I0GrLSaRDWCekcNk0wlCqUEy6RgGVR4JVQxRZcRjvBqVbEAhQ78wxcxqm6yhCcksodQ4NlcF osuIIGqIj51jtOVZhMJ8dBo7uqRG0QqL6WPoI4Ky/HNXblds12ZCLCsj7RtG41w66MhmvGpJQNKm UUkZbPZq9MWehQ0yfkV4J2D9hiGTQQ+1DlJu1fHNfR3sLBmjotiNwWpGVMFYMKboYS2GAreVcHLS aHU8EMXoKVcMLGQD1vMQBIF6t5fnTjazrriMfIe8zNQuWP/IZjIkMxKiIBBPpTjSreHapu2/oqOX q+A6sqEQomyffjFoCyElS/suoit1CZBJkiEphWYqCMsDz+lsjHgyzenBZrRaG9vLN+KPBbF7ylBr JrOWYpOD0xOnWJV8DcF1ByKayUbE1HCzeD7gnN9llZVQ8jBmdblyvtOpCKFwF2bZSsxZo3RKI6lW coIOlXb5DwQpOEbOYVH0zM7D4KlAb3ArvpCJ8CghjR9VMoYpZcNWv/j8ptboJCddvMqZVmdwedaQ VWUJaxOYolkEnVHJ4H9deCdg/YYR9gV59lA7f/37V3ObCtpGQgyFouw71kuZQWBXU8VFdagyoqC4 6XSNhaktXrge48jzcJvTSa9vgpO93eREkRVON0a5rpXJkJUkxkNB2sZHsKoEklotgXiULTVvf1D5 YhA8W8j62hDcF9Fwj2VBl/ylfGZ/NEC9za4412RUOUYiZzCrUowH0tR6V+CamuFza2fXaZy6POI4 0dlWkUh0kMklkEhgUVei082nHyTTsj1ZAl/iJNlMGo1gwGQuQne+DqfWkUctifjEBZv7iyETGCet y6IKBGGOxJbs9yjf1Ga7S6ankk3GGW59QTYaWxRWPEQDfWg9SxN5dQansslQwvfbV9W+ZLwTsH7D sLrsuMJBWtsHWbmihLpCBxQ6iKrUGMIBauWfLwI1Ktq7hjjQMcJH9yzupiOKairyvMo2MD7KobER xk80K2vGmEFPQ34Rq0vKsZotdAz2k5NGCYePYcg2orZcXDP+ciHkN5IdOgFLBSwpDkIzxOOQG4Vk BbiXNwO5EPqi7fSM9NJnOEVU46HJUUORrQjbRZKcRGYMr8GGWZ7jk7fzcjTxQ2gpVmpXM6GSLMrI jm0BVYXzEA0WTIal736ZDZ9K+Ikmh0lq0nj1K/CZe5H8I8p851JCfKoFRB9nwlBUjYHpmueVjHcC 1hWA3793B68f61YC1nlsKLLyt/++n/Vray5aI7A7zBxo6+fj18sExuV9pUVuj7JRU6/UvjKSdEE+ ORiN0Do2zE0rNytOLQFZOkbSK3rqvxJkjaAKLv2a8BHQXQfWUkiNgS562R+XSY8xFIPV3ia6xk/R 4C7ArtORzsTQXMTtOSLJXK7ZS2mZv2VUFzAR3YfTsAVhBks+p9Uqxs9vF/HgAIGJNvIK1+HQWZVC vCNdTijRRTYSUH4WUxlElU5hxsvfVVIKEQn2ICVjZBJRRP3yJaKvVLwTsK4AiDodkeDsq1pvNrJ7 Yy3//z8/yWc/efuSy0JzNkzTunzU2sscJhaEC8FKrqm19fVwQ+NaZS5OvkQsuiJGxg9TZF4P5l/+ wJlKZyaXXCJgTbwltw3AOEXaNFw+tSKRinBg6DW2ejZRbCpGlw7QGw7TGwvh1RtZ41p6WRpMqRjw 9VBvLURzgfWuUkZs0qNn6Fa/hCVjwK1Zo9An4rFhLNbyy97fC/vtH8Rbtg1RPd00ETUG7LZacvEY gsFKNhcmlQwwHG4m4RvAmLNRsGIPSXuZIilTtGL5RhxXKt4JWFcAZCJp35CsHjkbu3euor2jl5Ex H17v4nIjUsJPTnj7hegJv4/WoX4q3F7UM7I6jd6Gx7kOf6wP0S9zgwRUOiNGnQeV+PYvIUV1IbdI QI4cA9UE2He/7c/J5DIcGD3ORs8uTIbJWp/HWkCZwaN02Y6Ot1/0b9TZCgj6zpJOp2YErEmEDXrK kuVImhSB1Bn06XzSBhGN5pcQ5AVhQSa+SjZGNU9WqASTFb3JSomzlKwnMTkbqNVi0BrQ2N2kh/rQ FFx5Ou2XgncC1q8Q4XAMi0z6vIilfNgfYvdVCzugrFtbTV/f2JIBK5FIoF4GYXApnDzXRTQaZmPd SjQL1Dw0WgsOTR3ZXEYZyk1LYfqDb5BvWYtmqoN2uZCDnywsNw/JJKQGQB62XqYZ6kU+SfH0M8ww b3BY5UL55BIvmZFJJOGLVpN1agPBhI8j3a9ydd1NiplqOjVExpBA0OWjF01oMiGiqU7EuLDsYvpS yIqyPPLyz4Fcu5oJY8ZKSogtOMD924R3AtavELlUir976iR/9q5NaJYYralpcPPKoVa2LMDes9tt fOMHr3D8+HFqa62odTYSaSjML6C2soJYLMqwL4JBf3k6RlImw9G20xRa7dTXrUS9VIFWJZMsZYcX DaJaTxFGAsFOTGoXOvulCdXNRbZmK4nBE+gLp8wasnEIPgH2q992sEoTRcjpFPrBpryyyWOYPqgL /2fXipwJBFhhXzpgRTIwPD7MtVXXXHB+lmVgonEXKr2OifAQsVQAUzqL2fb2M5p4fztqreWSXYtm wlx8eZZgVxreCVi/4g7gvRvKeepQB3dsr1f4UAtBLxs1yKTIBRCMJLj/zi3UVLoJhMNKdiNlRX70 88e55drdPPTUi3zg7lswGS7vMd7f043LZKGk6NJvLEFvwqFtYHTwTbLpswgmNblMBLNYjEFwIeqX r3elyhYTtvknkxFZ9jf6JqgbQXt5ZqEy/FIvj5/upj88we11K1jjrsSoXrzralSr6QgNU2Z2YpSt 4BeBTW+jQm9EkEL4YqM47TVotPkM9HXhH38GtaBhZfEGjHqXwol7uxiaOExp1fLGl37X8U7A+hWj qrqIk/1+cjJbfYF4FQr5efrJw3iKF9bUPnWim+uvW4vZbFG28/jsxz/KV77zKLGIn7rK2eMyUiar EE7TOXkYN4HNrMem12AxTmZh8USEoUCAjp4TtPrS/N72nZd9fLJssrd4B8lUgNDIflx5W4kzgj/T iSbUoQwVC9kMaiV4ySdAXpSIZLNpVGmJnCig19jRGlxK0RpTPaT7IaMBZwOZbEqRG84kejBmAqjM tcRiEnEhgl5rZFyKEM8YsetsitxLJpdiLD1EJC7xk2MBbq6t4IHVOxlN+Hi0ey/3Vly/6LHU2mrw Gnw8N3BUEasqMZlRq3LU2CoxzQhgLqOTw+f2YzAV4NBbebT3Zd5d2UiF2UpLUODmii3o3+YS/TwS oWElI0xn4whxHcICwoz/nfDfLmCdaO2nqjQPo+HXJwWr1aoVLal5yGV55vkn2bRlGxXl8+2n4hN+ /JE4BZ75tD85W7v3uvX8w/cjjI+P4p7hzXfgZA+hQASH3YzFauRs5xCleVYsZR6C0SAPHWlnpVuk qW4jlYk0LzW/wV1brkUzxxX6UqDT2LA41hGODmNzNWDM1SLlYkoQkY8zk+hTBPSyKZn46UaQh5jV IplMnIloKy5ZMSEhQTwMsRfIme8mHh0mnhrHmDGjNpWgEj2kIp0kM2ps9tVIqiheUUsoK3IucQKD YMWqdlKsXUFWVPHBtSGi2Qll/zx6mUcmF8lltYnFj1MrGik3O1nlqEbKqXh1+DSl5tisgGXSGii1 umgq26hkg+F0irN9++mOp7mn4Vq0y5R+jvSdxFzSuPgLcjli4+fwVF1DMjRGJNKGq3A9guk3wNi8 QvA7G7Dazo2Q77FjncoqzuNw9zgNFUt01CIRHnqzk/det/qXks7LUIkCwgLDx/2DA2TUNiorq0gk 4oqe1Q+feJH9zWfZvqqEoyc7+MwD7190P0pKq/k/H47xhW/9kA/cupXq+rWcHhikY2SED1y36ULN o3HG8R7rHeGWehel+ZMBUg5zNo3A86daKHA4WVlYjG6ORdfyDlKF3lxAWBoll8ko4xoa1YwbyzTF wF9gpSVEBEJjp0nZtPizR8mJeaSibRj1HhzaUgTTdMCOCSEsxiLUGjNqhcs9WdP26ObPwcmZpj/U e+FngxhDyomoFzid8mB3JJ3gxMQ5vFoDakGv3Bz+pA+rdnZQ0YtqfOmsIp8sl8B2lq7imTYfwWSO vR29lJmDeL35il+kuAiHTl7aJ1IBzDNdb+YgGfeTTcQxmrwYTfnEfL30t/2CnFFPvq0JrbcY1S+l GfHbg9+6gNXZ1ktJkRutaenU2GDQ8o+PHeJvfn+2saVeqyYYT+FcjLNkNuPSi/gjCZwWgyz5STgY wSLrVS0HssmDvM0oXmelDPNWhOkg//T9p3CZRL7+g5+gU8t6VgkqSwr4+uc/QfOJ4xw+0crhEwdI pyvJL6xAr59/zGbPav7nJ2v4yiM/pKR3mLqaen5/d9OCBdpzo8MEQqPk186WT85zebnZ6aFvYoxj Pd14LVYqvbKe+aUHbEFe5gmyhvnybySjqYCkzowmk69oxmtUdeikOFZD6bx9SGVjiLIO1DJwfGSQ tGo6t622lvKTjsPsLqrHM2MGT8ZAdFxZNtbYC3DrzgfaDOmsoCwLz8Mf7ad5bJgq5zS3qt/XjVZQ sa3QSEPRKsbCIfrHRggkEjj1BioLitCeV1bNZQn1nySc82HWuxY9x9lQgNHul/FWXH2hMWB0llJi L0aS5xFHz6AbimMuXFhn/ncVv3UB643hKKlTA7zruib0Og16jXrB77zE6yAaiyNFY6hnBLedjcUc fKuTG3euWjRzqawqorV9gK3rqpW0/F9fOMkn79iE0XDxJVNb/wS+aJItK6YLzim1hrRsJKDTKsRM Gd9/4jXKXCIfuPdObDYXqbTE6GA7rx1r471/8lf89R/9AV/+n5+lvauLJw+00XFuL1/4o/uxLWCY ajEZ8JRX8Z6NFegXISnKox3f23+EP79uFdoFOoHyuSh1e3AZDBwf7KfQ4VKyg4UoDgsjp1AeUpk4 ydAwhkvpjqkEZUmJmCWZGFfIkKF4LyM9r2Av2YBOnDzmsL9TySgWc5+e3pMcP2ndTygOHeMJbqgM oBfs1NvriCe6ODR0llurtlx4vZSVaA2eY5tnFYYZdmXhdJJcTqf8Xj3VDfzB8U4+unkLmhls9vGY jxKjmVhu8nwVOpzKJmOsr5fn3zpEkcdLhUVPOtKvmMBaQgK5vEUeCLkcgVgP9vxGtFMSMNOnSkCj t2J31jN65iWM+VWKdrUs7Cf/7u3KV1/puOICVm9rN+7SwkVrTKZ0Eq/bQnP7EIlYgqRGyy1rStHo 5weTW9ZV8mbXCDtWTRel811W9mkNPLL3DGvK7DSUz2dNewxqXpxIoOQhGg1NFV5FeG+xgBWJJdGJ KoW6UOx1cOpwCz8+OIzbYmJ3wwqkeJj/fPgx3C4zWjFHNJ7i6ImzpEUXjz7zGlqNmnhKojzfStOq Ju6+fjvfffxZhkbH2X3VDuqqqzh26izNrd3s3Liwi/BYJIbesNiIa46jHa005pvRWZY2zNSKGmxa Pb1DA4TiMVZW1SpyNRdDLDZMMuXHZCkmo/CZLgPyAyQ1KUonZ1cWrwuVOJlNybLICSFKnnmK9rAE xhNBKpxONuQ18Nipbjr9I6xUMmQVobhAOCrMCuSvjxxnnatiVrCS0R8MkAuJDIWTlNjkh16OZEog JY/nTJ2SdDpGf9jPtRVreanrCA35CfSa6b+TV1LKrYVF9I4N8sZgKza1Ba+hAIc5y3iyH3G4D3P+ 7OAu16uIxLBUL+4YLZptWMubCAyfhFAUCt3IiaAczOUAr5KyRIUQ5pxd6V8YZWnmt0GLuFJwxQWs vniOXCBK2WJFcUmirsBCWcNkDWa0s5dPffd1ttXlY9dr2LyiGJdyccE1G6r5xg8eYUt9EZqpK0yW MblvWw2+wRE+/19P84nbKlmx+ppZH9E2NMT1RdOfX13kZDwusdhASGx0nMeGEvzB1iqMOjV3XTUp RvfS6TbOnnoadVzFA++9d1YQPt77Pf76gVv4yZM/433v/dC85+JH3vd+fvj4k/zXwz/kgffej81s on+gb8HPf+2NZyk3JEE2QpiDZNxHR+cbdIScvHuLvLxYGhq9noayyQDf3HKMTHZSumYepgwkcqkE oewISSlAnrWRuDRBIj40qbN7iVA6h+L0Ul1lmAxWmViIYLAVt2vNsrSXlIBlnQwCOdFPn9/OyqkS 2s6KCr5xIMC+7i6uqqgklolj1hhw6OYTc1e4C7FpQ3T5opTY5HOr4qb6Ip4+ewqv2cCG0gqe7j3A hKjlub69bMmvpbn/MFvKt83mjokiToeT0pSWxpKNtA7284J/GIPWREDVxh1jeoS8aRXVSHcLplpZ tXRpmPIqJ0uC5y9MKa3Y0gcinYTVAYo1awkmerHE7aD/7Q9WV2TAEqNhtMLiXJkBX4RdNdNfrqeq lK+UFjI2FiCYznK4bZBwIMKOdVXkuyw0VJfzxoFX2LnjhgvvGRwP89rZUe64eTdHOk9ypP0xhJyE RmfkzhtvoLPtFLuumg5iT7f08uFrpol3yfAAEcmEyzFZB/GUF+EZbuOtUz2sXTl9o15bX8EjBycY CXYjyOJWM5DnMCJFB9i+5Rr+4ev/wR+/717MltkZ0v133sZ3Hn+ajr4+tLLYnWrh4JEVLFy/ftOs f+sYHqKtv4t0VoXdsY57NjkX5YEthMBAPwmLBdMCJqvZrIQ/1oaoSCip0Fm92OT5PkHEqMlDZcrh Hz6Gw7NwLW0m0jFZgWBEyQxyOYlcbvYxZlNxRtPteOyNCNqF65aJTISYlGIoFiGdDaEWjDim6lx3 1Nfyxb0vksr5GYwEcBtk8m2OwegorWM6dAaRQuPCmWk8neQ7R/r5+NZpPbCV3kpe7zqJTW/gT3/+ Jl+5fT0mjY10JkpraJiUQU17qJc8gxONkKU9OE42GyQR8FHqXaNkkXVFJeRZrEpNc6L3WYSi6Xpa bLiTtFOPXrcMdYxMZnYAV2sUfS6jxo0UjpDLxDBhQ+v45chaXwm44gJWa/cIa5sWl+KQzT9TcwhN skJBQaFbcUKuL/MQiiT45tNHkDQ6PCY9//HwM+zpErlvUzUplcgbHaO8b0slJpcd1dryC12bY8db +LfvfpfGKtloQIWUSNJ79hx79x7ntkYvlabJL/7oiVMI5vILAUvGdesrefS1N/nZqSN87LqdFDjd CiP83Zs38cjIyLwJ/wdu3aIU2z//p58gkVjH0RMn2bltvlBeXXUJ2ZxAnt3EyY4BormDvPu6tRcY 1jIk7eRy9DyCsShHOju4beMWjEqN79LrGgPZDPkG06z3yuJ+vb5xBv39rM3Lw+Cadqi+JuCVYgAA IABJREFUAJUKg8FLVIiQySQQhaWbIxqjA5vBNumMnJEIBFtn/T6W8WMTvIoEy3zE2TvciS8Zoszs psJixyAWohVFxbJUhtxJ/OzWG3m+6wy1bjMbPKs4E3yLf3uzm4ePxqnI01DjMpORhtheUcjawmmi 6lsDo9y9qhq7YfbM4Ee21vONA8f4H7tWK8FKOQ7RRKOjimwuS0/kHM2+HgLJDPX2fGqtlfiNAc6N 9lNsnezYOq2T74s7i0j7R9F4isilkgSGjlOw5jYl+F8MgdHjmHUFqOcohcZGOklOnGPIPIygM1C8 iPPNbyN+LQEr5g/yk1dP8gd3LaFcmcnws+eOsKapBp1pcRnfGwr0nOgYxFNRvOiNaDXr+cx9V5EI RwhHkphSW3FYtfTEwUiKD16/Gp1udpdQfsKvb1pHJJ7i6b1H2X9iGKepAI/byefeu4Xmlv309OUp E/K/eHOQe3ZZlI7Pef82OWg6873cnCext6WF+3ZN2h/5ghEmIioEUU1P7zkKC4vQqDW4PcVs3rCR J195kz07NvPw409hPd3GiooCTp7rYcQfQqexkEinsJpyGAxGPvXB+znZ/CIPPf0q9+7Zrhigv9ba RUv/GBPhfSRVskY5nPOFySVG+Yo/RYPHhFFIsXvNZjQXkyCegUgihsloVpoEynnOZjne3al0ZzcV 1KK2LMwFymUkUrkYqkgEyZJC5OJER6VgLD+E1OrJucJQAJV18mEgBUaw5q1QCtWZdJyMkGUiHkSn FjgXnqDCUszV+Y1LL500eu6oW4k/kcCq07PZs5WxFTr6fZCUkty3qkAheu47N8YjzT62lBVSZrcz EgmxuXS+TtRQKMyZkQk+umXtvN/JJM8KSyVl5qxy3s4HTofBzpAYYN/Zk1xVt/JCd9CqL8YX6kJs 7yInk3s9dQoZdzkwWkvwq8Ywh0EihSopkR7tR8hzUVK1DZVMIB59i7GeN3GXbLpos+K3Ab+WgHWw dYD2sQinj3fQsHr2BZAcm6D1dDfPd06wbzDCnuEJesJp4lPFV1U8ToNNw6qtkwXI6rUrOP38YWIp CdOcoDMXeotZ2e69+Vq+/t3v80cf2HpBynYx7Ny6hariMt7/Nw9x21V27rl1vRJsqmuKCYajZKQU 9+xWcab1FI8+u5e//PiD2O1uJgLDnOg6yf1bt/DSm69ywn2EiKTnyRdfxmmz8I9f+3tWr9lGSfF0 VtJYV8ef/P1/sHvzGu6+5SZeff1Fnn7lBZwFJdy1cyd9IyOMDozjcUyeM61OT9PGmzF0tPPBv/0u m7fks6uhnmBeHjevrsdodJCRkgQSEulkiLaAig3FdtoHevjqs8/SVFLAdQ0NsAwp3gZPAWeHhzjT cpSbGpvo8Y2TFAWa8ouWpDsk0n7SkXG0gpF4bASddpl0kCkIolY5BuXCTKVIiAnS0jly4RBqvQ1d HALJKCkSrC3ajLDMm1BAi2tGYyYVV/N7TTU8feYsVr1TGafZU+sgEI/zcPMZ7ltTyJs9w6wuMFHl mt15PTs6gllnwRdL4jQufD3NnleUV8YiDcUV/ODQPjbF42iNk4Hc5CzHYC0k0XaCgDqAu2z5Cq/Z CR/RbBe6XAG6gkpSY+cwVa9FrTZM2oGpBdz56xk/9gwp6yg6x+WPOf23CljragrJN2poHgrx1IlX L7j92n2jiE4ndWUePnJ9IRNPHOP3blzP8Igfk3ly10SVhRPhHK98/yV2b1tJPJFiLCPy45eOc8uW WvIc5osueWTpkNKiIs509rCiZnbAPHbinMK3Ki/3XjA5PXSog3/+9L2c62vmsWdf4LbrdmExmZRN RllxMRvWbiIWHuPffvQsf/z+97D/9HHu27qdgjwvn/nAXfz7I0/QMzTOP/3lJ0nH/aRSSUy22al7 gcvMI//nE6ineD+33Xg7dX0DfPPxFyhw2ZRtU8Ps5bF8qKFsnPtubuDWzduUpaFB38sjB4/ywM5r UGv0uOXTazFTMFVHbqqqp6miklfPtPKlF47y4I5VOKxL10gsNjsbbXYOd7Ux4JugPejnas/i3Kxk ZIRIYghNRoPeLvOOLISjfQSG3kJtcigSNdqcXmG3K613WZZZlSMnb4Js0ppRsjg5k/JrxrGEs4SD 3VjNRWjjOtR5U3wjC8g2FPvOHSESG8VqvsybMJlCJwoK/009I6ORl3/3NdXy9OlzfHzrCvZ2+zjn P8NV5ZVEUym6fKN0TqT44MZCXu7s455VyxsqljPVcb8PnagmGo2g1esv1PcEtRa10YZGm112dpVK hRj3naCs+gYyakglg+gKytAKBvkPKtZf4eQgFmspojuPWHgIld6A1nBpD5D/lgHL5rIr24rF1XsV vGt3lmP9QXZvmk2GkytHO5oq6R0NgEbN7dvqyaQl3mrpYtvm+gszckth9/Yt/N2/P8RnP+zCrnR8 JjEyGmDfay188g9vUrSDnn39NA6Xlfq6YmprCjh8/BRf/u4T/On770A/pwBttOSxbkU5f/OvPyRN kGNHOtm1ZSs7NzXxruu28MbxTuV1GoMDzQKrXEGtV7aZqC2Rl4w6mtu7aKqZHteR9cDPnTvDt546 Rm1dEQ/csGuSaS3zxvKLebF9jLHxTrzeRYiEgpZrVq7CaBygf3z4ogHrPMosNloHB4jKNaYlbOV1 5sk6k5yBylI0cpfMYiknqZG9+TpR+8dJa7OoNXJmoUKUBx3lIrEkLwaFKSMHgZAwSlybxJRx4vQ0 IS5SaG/01jIY6r/sgGXSG4inM+ypk8/X7CDsNJh53/rJZWa5s5Azo8N8/c1TDIdjNBVayDOZcBlt nB09e9HPSWRS+CL9jEQipCQDe2obONnbhSHST6Nb7l5bEOVBap2e3DJLjQF/GxnfOILBxPDAG2gs LvQRFRFjlvTIEPaqjUyMtmBwFDEWPkXOIJGJjhEYGyYvU0ymzIslZUW4RAelKwFXVNF944pifrH3 JGP+iJI5zYTMgZIL6jOxT29EXKbfntls41MP3M23f/wkn/7w+y5cpDdd20RZkZsvfPUJ/uKTt5MI RXEVuZSOmrxtXdeETqvlez97jlt3b8frdiDOWIbs2rqZzTVWjJ7JaPyth36EWi1yvOUg9SvXMxH0 45oRIJeDv//Ye/nWE0+yuqqcVDKK3z/OE681k5HSfPjOnfz0+ddJplPotFNfn0pgT5WJQ0NZblti 6iiZinG86zT3bbtq2fvicrrJDvSzIb8IrXFphrlaNCrbrH9TGzBKZqyeOsZ9x7HpK9AsooSQTIYR oqP0DgxRVWVGVILbwrDqDJyNjIKnblH5maQkkZCiirrCXFiMRgaG2lhZdXH6QJXLgT/ezbtXF5DO CBi1Kr5xsB1/HA71DZBvMXNqeIzmwV4lQ7uxbgU2vR6NGOd4oAt9Ro08TeoxCThsdnasWoc0MsjI SIsyS6nVWFFNhBV7LtlVRxZFlI1Tlc6plFbqU7K3oEp2MhrqVobB82p2IMVDJMNjmDxVM5j4+xkd OUKhdyui3TVNQfFqiHYfx5/qxzliQHD9+k1Qr8iAlQqFGQinqChahpvuAli7ooQXm8/x3l1LF1Jl hAJhtHNMRiPRBE+8fJxMMs2mVaXU1U2T8jKpuKJ5rVCDZzxVG+qL2e1r4LuP7OWnr5zkc398Gxkp g6gsX2DtyhW4jAYOHd5HUXEVG9fMIC8KmgvBSsb9d97Mn335EdZVWpQM4ksPPckXPnwPmgX00A8e fInNmyeL83MxPBbkK99/Ap0ocfTEGa7dvIJ1GzdQWVbBLdfE+c+f/ZiP3feBC6/Pz6vgtdaXyWZr EeYsK+SjPTs8yqvHD3Nz01osc7peS6FrdAiHw0GR9/KMMs8OdFLldCpLSYetFl/oDBZ9MXrZNWbO 8vLUyCnKrfk0FRbQ4R+h3rP4kK8gaNDqXQTDPdis8wfHZYzHEjx7tp0HN82vC3msNjp7+1lKEDme TvFmzzh9wSh3N5aypnC627bSW8hYNMrr3UMc6BmgymXmMzu3EkrKNa5+Ovwp1Ooga/MbsOvsxNMx hsbPXHi/2ltIkXey6yx7AiaEUYa0/cTOPI2+pAa1JGKMaYmog6hTKiQhQzI4jKNiE1bT5PWnlika htmTD4667diiUYSpGpmCqcxYErN4S7ejWZRg/N8oYKWSaZKhMK8caeeFtlHW1JdQQYLaIif2smJl GFae45Ozj6VQkGcjFu9kYCyE12FCyuWQMjmlvjE+EeLN/iCx8KQBQdtYlH945hT5Zi3JRIpwIEww KfHg2kLyvE6++vDrlB04w4bGUjQaNQ8/fRR/KMYf/tl/UV5dzJZyB3U1RQq9odht4cc/O4dOLfLC q8fxusyoo1G+8eP9qA2yKFuCeCiKNS9BXVUVOq2IWpC7f5pZNTSj0cLKoizvv+sGRJ0duznJk/tP ceu2NUpmNnMY9qEXTvO1H73OVSu93HPzbpx5laTSaRKhPqITfrZsL6e0uIoH7trDwUOv8Ivnn6a8 +MPkmTUM9s/RgNfqsJnsjAaDiu/geaQzGdrHx3izr5c7t26jwHJpT1ZHBoLyBX8Z1IjRiTFGQylW lk0u22Q98jznOsYnmpHSEiZrwaxzF0unMOtNqLUO+sdeJptXsaTKpqgxk40NwiIBK99spMbt5NuH 3uQ9TeuUYeTzcOkkfjoG0+y8mcgRikV5ouUAG6urqcszUTSn/igKWvItWu5d7SCVyfDo8eOKHb3L KLK9fNrE9jwMGiOVBQu7W2scXsKj7aiyCbzl16CzuIn3tRK1Z3GKdYhT39lw7/6pwfI5DyS5/idl UMkqESoVwlStdS5spRfPJn/nA5bsZ/dqyznCPf2YbGYaaoq4blsDmUSS4UiK3kSGjmNt5GIxxlUa LBYz+Q4jtWVeTKaFRefeszqfLz3XzJqqfPRqAY1cHFWhqDnuqnJj1kwuDeURW3nO76Y1Xmw2M2a9 ZrKQOfVE+fyn7qKtc4jekSCqRIqPPnAd3nyXUvCdGPUz4I9xqs/H4BtnefzlE1zTVM71e8p4/qUj /O+vPcT77ryeT3/8VrSyyq3JgM6g48zZdj705/+b99y0EZV8YSdU6LUiolqnZFvy3POzLUnS+r3K CFEup+XpN8+SiIRlliSra4torF/JsdOdrK6042gqAbWVvS0DHGs9yOhIP7s3VPPpB99Lnmuafb1r 1+14Cs/ypX/7OhvXb+fu3fNb6usrSth35gRbamopdnvJkOPps60YNSLvW7cO7WXor1sMepJjI9Ns 6pnI5RgYHqLAmz+PlCrTMc6NDHG13MKfA5dtpTKmsgojVtt0ETgYG0ejtZFTqchoZG7W0kGywqjl SJ+f9bYQtjmZhgzZDPbqykpKHSaeP3Oau9ZMnzO5lCBz7YLBfmzW/Av1QHIZOgY62X/2NFlLKTVu WaF06f2QeV+r8+0c7TvO5rL538vFEJpoJ5qZwCZ4SIx0obd5MZbJEj1ZpJDvwuvyrCsYnzihZOta g4OclCSeCRId6UQdz2IpW4XG/KuzY/udCFi9A+PExya4412zx1uwWbB4YfJZM70se+LVFp7bf47v PXWIVE7mTBmxWE1YTTos8nuSUQ72+jG5Hdy5oWLJQq+MLbX5ROJpikoXbtXXVhUo2yyIIq4CN64C qE+m+PTLJzg7FKKyKMTv3ZFP+6mcUnhvPnsYrcZPW88oD95zo/L0WrGiFqfLxe6tG7C7pgacEwOy /zjRREbJBs8OjnD37tUUeyr4l588zSfedRVbG+tJpRL86Bev8IV/+R75+SV87fP/36zdeuHA1/jj +67mH7/3LHuumWu6oGJl3QoiEx2cHvJx4/r5lu0lHlnpM8HDR09zfZ2PA+MhyhwedlVdvufcWDyG a0bgnAkpl2UgFqFwgRs6mk7jMFsuuPHMOhK1BkFlJpFMMDPMCIYC0lIKrcaIIGvHK9Iri++b3EFc XZRjyN+JzbB4oCh3uDnbP8T/fXYfuyrNrK9Zw5On+kilYnznQCudI69j0Ql4LEaGIlDoyuPju2/j qTPTS7iLYVVBBY+3/JQJqwGXY/kKCqN9b6BJqiipv42Rk88zIo6hG8jD7zuLym4lOtKOOb9OeeC7 89fhLtzA4IGHyUppsg4zBmsBzuJ1invzYpCtvuK6JHn6xQnZv5MBS17yiQaDQpKUu3QTg6O8eqSL W665SPtvBm7bUEXXaJjP3b4Jp9WIFE8QjSeRkmlimRzjQ0lO60R2VHt45PWz2CwGrl9TtqiFVY1d z+HxBJdiqRkLhNl7rItIPEnEH2bbhmoGfREaV5TyxplBBLOVu++8lXN9vXz9kWf52O0rCUYi2OyT qfbI6AB2x4ybWD9Z2zgvCnHzhgAPfOEn3L5jhdKyloOVDHm85n133sT9t8l1qxkM8lyW514/yrZV ZaxecxVf/XwjjzzxFDWV1Vy9cTWaGZ2yupU7eOnEc7ze0sOObfPn9dzuau7Z6OTbz76GxqLnAxu2 XfhdNB7j+ePN6IkSlBzcuXE1+osMNsekNPoFxmtG/RN0T4xR5Zm9rDsP+V9UU8oUC2GjJ599PV1K UV9UqxX7LVU6gFqeJVQJVDpK2N99gJ1VC5ONQ/EARwdPEw+fY8+qe5Y8Blnh9MZVTawtHuX04BiP HdiPlEzxl7fsUmphqWQIWd5qNJKkwq4FjY2E7IQdTRJJxbHqlqfyeevKm2keeAuzJYFuTvd3Ifg6 3kBntmMraSA7Pk5an6Wm9G4mJk6iE80Y9WV4V64n7R8jkycSCfdjt9dQsutDDPa8Ql5ekzIpMBfJ 6DjjPQcwaJyotDpiwT4K6hde/P5OB6zHfvQibVq7okwwNOpnU20huzfVkuean44vBpXZzLu21NB9 phvXNRvQGAzMZIb0JnLcttnFmoZystksR8/088Uf7KW2uoibq104CqfnCGUUlXrZ/9YbIGdjy8Dw aIB//+YvuP+OTXiLKjDbzITCMZ565jDvv3ur4hH4ymujhCJRVjc08BcfNvOV7z3B362c1NU613WS W7Y3wgx5kZmY8Ac5dLyd7/31gzz02I/59IPvWZAcORNHDz5PaHSE37vzfuVnu83OA/fdy+HmE/yP f/pPPv3B+8j3TB53YLSNVVVetm6arWk1E167g0/ffQsPPf8Cze09dPaP487T8capN3lgz13k2518 7bEXFL2niyEtd7sWSHMGhwZpql2BbhH5GYuopiUcXtRPWK3T41KJSmAwqdX0BodZYXciiJPn1W4p Yrj9NWDhgPVa95tcVbKafakYmXQU9ZxzuhC8Dg8eex7xdJrHD+4nksph1cuEXKuiQVoxoxehFQUq HCne8/2D3FNrJKEyc703Q56rEPsiGafcETXo7Eg5uBjRJtnXQU6nxZY/yeOKB/oxWYsVqoLNVUNC O4ohb/KBpJsaAjc6plcqhqyF3CKrj9hgB57KqxE1evyDzYrrtKD97aMwvO2AVVXqIR1Ks94BT6l0 FJk1eFyXLteqNRqQFsn1c/E4nvLJAqdcF9m4slTZOrsGeaFthIZQnMb6aba43OpNG4z4wvFJwb1F MDzsp+WtdkZ8YT7x4RuVovx5vLTvFP/wmbuUYCXD7Kygv7+L4gIv5SWlfOzde3j4iWe449ptlFc2 8qHK+R3MRCLG8VMtdPX2s2vzavLddspKa+jr6aCkanH28oQ/wE9fPMg//NVfTddR5ItUq+OqTRuo qSjji996gsZ6DyajBYfRxIg/Qk4JNouwrAUVBp2We3bt4qk39hMIw2snO/m/H30Q3dRFXu7R0D8y RHXJwgXr8yhC4EwiSnlWJjUKpBJxuoeHFKb2YsFKhkano9hmp7+3h+LShZUbcvIojkpuDKQZCfSw o3I6G5SzLK+rgUCoB7u1jISUZCTYz0SojxQaVudV4LAUcXWZgVO+AdYVLq+ZIGeD3f4wolWW+pm1 N8p/Q9EwR/qG+N7hNnbXefCo/dxSV6TIJZ8dT9PW283KdIp8p0tpdMyFKKnJRsfAvrgeWGK8nwn/ afLL5Yfg5H0Q0gRwaybXCdlEQlEaXQpa0UjKP4zWM/uREAsOklVlFP6a3C1OpEPYTMs3A7nSsayA JWc6jz93hLQvwj3v2oU2HmboXBceg5Mv/fA1GivzWVdoobS69KI1J+XvSRK5RVrro/4w6+vnn+Cq ykJKSry8sO8kr3f7uH19OUWeydxsx5oKDrQNc/P6BbKsVIrvP7oP39AYt9y+nWt3e1DPGBROpyVS 8RQlldNV5ZqSPP71oYNs2TiZxdRW1+B2WvjOjx+jrm41t+6erWIq4zuPPcuqKg/XXrMHl81CMBwj Gg1RUjmntjcDvb1dfP1Hz/FnH/v4rGA1E163Hbs2ygO3XkcgEuVPvvwQf3jHRv7++4/z+QfmZ28z YTUZuHHzFv70q1/jy3/8h+hm2Nj//GA7A9Eo3zl0hnevq2V1xfzOlgybx4upv4e+8VEKHC4OtbfS WFqOxXLxrDqmUWNdQhpLlioeD41hNOrxmuwww5g0k44wGuzjucgE1+f7OTI2TKOnnBVFGxRD0fOa U0bZtl1qm3TaWWYn82+//Sjf+sz70Wu0JKU0Pz1xmrGID39Cgzrq49bGcr64ZzXPHT+BlSBed4my b0XeHNF0inG/n5bWM2yuk8ecZmd2Rp0Nf1cPlnULByx5yD4c6lEcmYWpY8hl0qSC46hLJuV/NEY7 wYmFTV2lSID0YC9abwHjQ28hxFJkBImMXo0kZkiNDeCp2KEEq1TMj5DOIOZdHiXlty5gyUXP4YEx WprbsDvs7L5pSsLE4EL/1hEa1m6grrKQjvY+TshjN/ufV4rlxQaBfK+T/BIvLtd8zkfa51M6bgsh Go6hXcRjT6sRuWXXGt5s6eZI5+iFgFXsNvPiW11kpBKlHnIe/vEgjzxzjA1VHjbev7BzcDyewiG3 IGfAbnchSAHisTAGo0V5KrtcBXzqIx/lR0+/wguv7+OqDWsxTKXqMoqcWvK85eQ5Jo/37MnXqa5Z tSipUZ6X23foEA/eczMu1+xl7mwIOJ1uBnrbMTnLKC1wU1dWTedgnIdeeJl1tTVYTSbiyQxVCvdt ut6k7LfNwh07tjEajON2qC54EdYVePjYjbcgSSl+frSZM0OjeMw6QgkJj0XPhopyBI2RkFzsNVt5 c6CHSHc7dS4PKrWas/09SJJsOZbBrNEqrX35k01aLaVFxbI3NL6JMdasnG6lJ5MJJbBkshJDoRDx SJiuiJ9ii46+RAZ3ZBiHKU9RFZUpC1c59HSndRzzTXB11Q70C0gjtw0dw21ZYL4xlyEU92M1umdd z08d2svW2mLMU0ukw929NHrcrF67BjIJEKdrT4IpzM5VpdOBVKVSqBEmj5dMLssrLUepL69EbzBi M5qUFUGR2crLkkTfsUMUeguUAr5OHsOZGgwPjJxCa8u7EKxOHm8m3yCrxpZMKYbKGbIaQTafnINc RmJi4CiiQ3YYaiEn5BgJtuAsXKvQa8SwH1UiqYw3yRmjIOUQgrELf/d3PmA99+wBYukMTVtWUeqc 3YVTu/OQkknUej11jVWTRe/da4mHIvjjaUKROK+/fISbb78a7Zwh5b6+UVwN88vkuWgUf1ZU1Dct i2muyxIyJS6efP40JnUHWxpLMRu0lBU4aemZYF2VV7kp3tp/nDdaetizZz3V1YvrAcmfKdfV5mL3 1vW8evAtbtp19awB1ntu2smR5uN880dP8ZF334Be1gZPjjPkj7HJNONpq9eSSskuwgvj+0+8TLGn kMrSi6TrKpH33XU9D/zNd1lRU8wHb9mB1+nkw7fvZHDcT/dgB/uO+/E69Dy138/v33AtLptNYbU/ +soh3nXNZkWaJhqfrlc1t7dTXiA/dQXUaj13b95CMOInJsn65dA1Msj39r1JMitS5TJh0qmJxDKY VQIWrZYXOlvZll+MzWJRFlKyZ7NepVICwsDQIC+2HFOWtNopAmsyHObwyCCClEbU64mk/NhVIqtq VrJWrSImJajIZugfP8tEzE+NZ7Ku05e1kc6lEJV1YwDmBKxkOkazz8e9U68/j9FgD6PBfkRRNztg kaVzdIAP3nyH8nMi5qOrr5W7tk5lwTOClQy3PsPVJQvUxlQqKvMLKbDYONrTRSwcoql+JR6DUWlK 7W5az75jRwhOjNMxNsLmgmJMDhsTp15GX1qLxT69EtCQ49DEKNetmqFnJoo4qjfP+9jg8Gn0ziJs 8lylO0s6HiSTSaKXaRkynBA2WPGf3odr1W7UZjsJQ0Yps6gugSz8WxewuntG+Mkzh1i5soJ37ViY cW6JJ5Qn9dw/YLDKrVYo9DoYHPErgcs9J2BpMpLytJiJZCrNN544wp0rvVjMS59ch9PK566p5MRo lH97ppm7N1exttDKt149y9pKD/0DE7QN+PnEJ26/6Ak4dqoXk31+Frh541X83de/zQ07t89SBJCl YbZuWE9FkZO//KdvU16Qx5G2QcrKyjEaDKSltPKapsYdfPXHz/DTl1/nnz/7IVSq6U6TPxBgeGSA D7zrQxfdv1gizj//ZC9f/4u7+flrR/HaLainyKeFbreybb/QpJUttCbPdSyZUWSkT3b9lOMdAb7x 53dPvSbHT15p5pZts6WGbWYH589Cns3G5tqpICAH/45hhIFh7t5RJzNjKZbnC/vl2tIKTHr9lHfN JIoLi7CZLTSfk1UvRQ52thKJx9lcUY3ZNPnKdCrMq11voD1fM5wqmFuKN9Ey0MKbXfvYUrENXyrN 9SW1qA0LOOJIcY71HeaOsmrUGhORRIjjY+eIJwMEEhFiSR3atJYqj0yTmPz7w/4JJnwCX3z4UT5+ 1x38vKWTu1dvwGIwMhIM8OTRZj50zXaFTydJSZqHwnQP+bl/uxO3ff7Mk8Fk4qqGVYSDAV7t6VQc l3asXofdbKEgk1Eka2Sp5v0tR8k3+1mxeg968/R4WcLno7Ovl5o6O8yYhJBHctTeHcazAAAgAElE QVT62bVhKTBOLD5MnjD1vcja7vJQ+Zx9snhqUVksRNuOYaxtQiXrof2OBKtFA1bv4ASNNUXctEiw kqHRaEiRm3TqXQQFbivHW9rZvXs2wzdud3Gk+RyH24exW4zcsaWGV199ix21XspWL4/DYsz3sDkf VlYV0No3QctYkPZgiq/9cC8OIcf1116c1ZuKxnnoF0f5ly/Ks4Wz8fKBYwwMjzIwMkFJwewZRhn5 BRV8+XOfprW7l9LSTr7zi6P88MlXSKTSfPCuazGbrdy/ZwP3fu4EP3x+H+++9iq0Uxfl/qPN3HX9 4rWtmXir7Qw3b6ujNL+CW7ep+advfpv/9amPo15omnpGb8phsfClP3qvfKnzZ//y6IUB8Ug8pFAZ dqxZaihlGkfbhxgY9nHvrlUwNbv4/9g7D+iozjP9/6b3ptGo996FhED0Dgb3irtT7TjV3hRvkt2T zZYkm2yKN2WTOJt1nDi2k7iBsbENxvQmQAghod57mdFoNL39z70SIIEAJ+d/TmI7zzlzjKXRzJ1y 3/t9z/u8z2OyxJCnVHKirYnClHTRlbS+p1OcddTIFaKb5uKcfM7195Cj1WMV+LFZ2xJhOFouiWB3 jxCju/jeCqr2iuRynjm9DdNgPQ6vQyxGcxCN4J/q5PDwIJHgJE2TRkLOM5giY6QYs0mKTyMqVSKV Kqnt7uPFY0e5pbKEowNT/PTFV/n3+zehV+sZmHSxLNtC6kyeo1WvI95s5IUjx1hbXIxBLafM4uWG xddxrXFVvdHEpux8UV92pq+LhdpcsqqqaWg5x0hvNwsTFGhti+YUK/HTMptYXVXGEXs77WdOsia/ mCm/j1hhUuGShobL048lvgyF4dp8lEZuoU9lx9dzAkvM5Xq9D1zBWr2kkB8+v4+rhWMrrLEE/X6Y uWrOh8K8VA7uryUik7NiSZGoDB+sbybqD2ILuNl6azVvHGniB8/sIjvORPlVnEavBL1OzYLcBHTh AL/rGiKuKp17b5/VbbpGwGlr/wSf/6ffYjJq2Ly+ApMsQG37aSb8cj730FZa25vnLVjnkZ+ZJt6a h8f51D030NXTy0+efhaJXocvGsuTj92ESW/ie89u4+sfuQd/wE9HdydbVlS+hyOMcqi+nSfun14d ZaamcsPGzbz09n7uvuG96mrkLCpMZsThRCpRc+jMCSbdTkYdDmyiY+o1zsZIRBwnEsaqZsOs07Oi qIx9p2sYdru5ZfEyNJe4WVRrNLzT3ECxTEZq3MUTbdzZxXggLFotXwaJjK1F6zjUVcNdmYUgv7jS ELqJh1reZAoVazKq0GticI+f5OjoKAuy14gBprNHeQQeTiMN88djNWSkJfLLz91D3EzRyLiENhT0 XzdVVjI43MaexnPcXrUQlVKLTCY85tXfI4ErVM2cB+qoRByHElaPJQVFHHn7NSYLkohLnEuBRINB olIp/VEvGlUSIccYb56rJ05Ijx7sZ3VxubiSDofDomIfjxdl7JUbHQKZL2x5BV1Z1OtGEokSl/+X J3q/rwqWx+nCFhG2F1eBTEZQGDeJufqQ88OfvJljNefYeagRtc8jjsUk5WVQUTrdTl9WnMaZUQ9L FmYhlf155GDQJyTujtLY5yDWouffHlzBf/1mz3suWEJHsyQjlv/+xj3ioPO7NW24FQZuum4z8XGJ +AM+3t2/i6qiDIwxV4+t0mu0ooNCZnoGX/j4g0y5nSQmzDLry+rjeGM9bx85zQPXrUWmunaXrXek hzhRoHrxfakozqO+Z4DXD5/muup85LM6a1fCmqpsvv3bd1hWlEl6QiK3rU7k5SMnqSwuYFH61Tk0 oWP7++1H5/1dMOxFYtFgERxDQ+HLxEcKjZYNZQupa29GJvWSFDvN3Yz7fWzOWy2a4M0HQctUmryQ E4PHWWqc7l56/FPUDp6lMHkh8cYkxqdG0Ef86KwLKZN10TRwApXSREFC0XS4aHASt9/LhHuSkERB WWKuOMB+LSTGZZE8PM722nocE/Y/q/soQJDGCI0IiT/CkYN7SVq4lCzb5dvJ0fp6JmNM9Du9lKVn cWLcKW7DXT4veolEXL1qTGbcDrson0hUSDFfRWtm7zhKWBIiLns1gYgXneT96cbwFxUsoUvn1+p4 9pWDPHDb/FYkWpORyY4OEtLmz8GbjepFVzY5Mxu1PFSWwL6WYbbaTO/Zf9xld/Lt7bVsKkri7hln h76BcXJjNPxp5ynu2nLtFcxo7xDxMTpkMxL1tSvmbpOE4NK8vDLaOtupvEbBSogxiNtBtVKDwWAS b7Nx66oVfOknz6JV68lMSb/EL2J+vLC7g7vWzvVNVysVPHLLRvaequdrP3+Rf3/kHvFnV4JAhP90 2wE+dWclhYkXt/iLinP4yaEWTg2O80j1lVOuh4cdeJXzb/z7RxvItmaSmmjgUNNZqksWIL9kKyOX SlmYW8gfT/2erbHCd0VCOCokB14d8foY3vUGqPKPo1BZ6R5vEcMieobreLHpMCUxsaye0W3ZzBni 7WRfLW7PCDK5me+8eRKNNESy1s/D62/kPUMiZVVZNV73KE+92/tnx/yFplxEVGqONTWSmZZBSvz8 kwBOKbSODLGsoIRRtwu5Qc/ZpgakchmL8ospUCiRuN2YcgsZbDiLOyH1sqHn2bDmLGdqpJXBrnex mPKxR/uRjpzFHFv4gbBGPo953wG5WsUti3J4+lAr0UAAyTzjG9pgmN4rRUD9mUjKSEI72MzZPjul qdYrnngt/XbaOgfFldHYlJ+v3VmNcRZBL2wP83MSOX26jXVL8rBe4qk1G85JD396s5YvfOqGqx5b caaNnXsPUrnw6pxTQ0sfq8uvzhd88xN38K1nXuO///gKCVYbFoOWdQvLRJJ+PpRmGekf9ZMxj0fd mspSUeQYiXg5UNeEfXIKo06PzWxCpZTQOjjKiGuQQDCMXOXG7Zl70giE8OMrCjjc1sNvDx0j0aih IiMD20w4goCxSRcvHG3l4evm5wPPTYyzLrZYuMKRnZzGqa52CuMT59VoVaQs4mTHXjQqI4MByLJe ebUglLMBR7foDTXmD5AonaSuf5x4ixY9ETak5ZOfMLdpEAq6UMk1nOg9hVxi4dElqSTFX3uGctQp dFo7WFw4l2fdeeo4GxYsuszq+FqQe7z0REfRaXXEpabx6r7d5OYWiCk7YQn09PWSEBdPl2eKiDSM RqMhW6dHrlCijU9GK5Vysr+HpVl5qGbCWGUZGSTNSCOuBn1cLoxKROfXjNTNeCf6Ges9jt6SgUYf /8HOJYxNjkNtGGTS5cU0z5dLo1YxODnx/+1AytJiaesegUsKVnRqip4JL6cHnPiCYW5cnC+KktUK 6RyrFgEmo5buERd3rsjjwNEmbt1yZYW5QiKcFB5+/Px2tlQlULVofp1WYnIOXUM78XiFINX5Z8rq 6o4jCft55s0jfPm+K1/NBQW6L+DnM7ffRiQaZf/pk/xq+y4+c/v1l913V00Nv9p+gP/7+seuKObd faKDXSeOcueaG1hbWc7QeD+tfT3Yp8IsLDNSbajCqLISikR46q3XqMwqmMPxKGRyVudnsTQ7nfEp F6+erOPhWTKOE03Hub7UgnaekFqhSzflc4rZegISYm1YdDoOt7cQbzJTlDZXxJsbl0fQmklL/zFG 3F4G7S1kxM0fihqORBh3dnJTwVrebdjPWx0WksLNnJAlU1pk477MyyUxzzbsZVlSPkuy16OSC5Y/ 721Vcay1ldKMywtbmyNMWeG1ve8vhcdiprarnSKzlVca6liWnTetU3M4hJOGxYUlokVyWl4hDZON gu06UpmMzBnyX4DKMSYOhp+fSoib5WhxLehtORe6tgqNUcx6HG07iCJVh1z73kfo3ncFSxCbDTWc Q79p/m6SXLgquFyE/UIE+7Wr/2z4fD4GJuy4h4eQC3sDnRb/pJejvW7KBscQqNjDZ7pEfyshYtcW ayQrLZ7SZMtVlfTC0vvRB9bw3R+8RE52Is++dIig24vNasDvDzImhDNMuNDJJexr6sGWqOYLNy7k dJeH7/z0l2SnJVKUl0NJXh5Do0PEWuORyxWsXlxOZ98Ixbnzb3+f313P1z5+I+0jU/zohZe5Z+M6 Eq1mwuEQvoAXtUol+iedONfCwzcvQTnzGjYtXoJBW8//7XibhQU5pMXHYDFMfzkn3ZP88olPityY EGY62+V05tWSFm9hdUU1iwqneR6jLpe8tHkU6+EQWrVUpGPOb3F8AfcFIaZSLiPOaECFjzeP7kRr TCEuJom+KQkbKuf//PsmeqlImPVcAvGs1Yl2MnU9nRxpPU1yjIE0a/aFFXLneCfjgRB3Fixnd/M7 6LVxWFRaZAoD4+5ROkdb0AvHJFPROOFgKnQOuT6PdE0H9yy+ntS4VHafeI1dTcdYl10wbQI4g1JL LEq5SlTAB0M+mgYbKE29+lB+9+gAnoCP1Ji5XNrxcydFacep/gGyrdemKcaHBumbmqS9sx2D3sCW vGLahvrZlFtAzPliE3eRx1Kbp/klrVchGE8jI0rXVD++UIQCcxpxciXOUPCCzOQvRcg9yeRYC1G5 FHt/LXG5qz+4Bau7vY2sPA0t5xqxJSZiVWtFfcdsSPUGzp1roGTB/MZkwkCvVqEUZ8aEEYim5nOM i3Hffqpi47FkZqNUKgkKHRNrkDvUE7xV183+LjvrEjR85I5VSATDvz+D+NQbtNx7YxVDvgiVZZmi 6FBYmWkUUhRyGQqlYH43wohUweMPrkalUrMpFdYvXcik28t3f/4rvP7XKc3LoG90kk/fdxvZaWkM j40KvaXLX+OkA0nYjc5godISj1zm5rvPvsR9G4t5/cgIcWYlSTa9qDYfc7oozJj9GBKWlpSRl5rB 2Y5Wnt/1DsGQBqPOzcEzHg7XdxKNyvD6JZTnJvLJm9YK13CmPFJMeiX3X1fN95/bR1q8kfiYK3sj C1FTMqlg0nuROfrdm3t5+OaL22GhE7ZlQTlffektnthSzMjAKRRqG3LB5+tSRCOMusepSrmcJxTs ZCpz8gmFgxxuf/dCwepzdIp2NMK8oETwl89bz57WfUQkMjJ0RiYCfhamVVHbc5zCxFLWZGhJMKeJ K9Gw28+4J0imoGtKLMYedNJq76E02SaGV9idvQyG1CTPBM16/EFq23uvWrCEiPlfHWmkIiN5js5u yufn3a5xvnLdevZ19PHTQ4f5/Iorx9O11tfRPDqM0umkyGAirrCEGLMFv1SCt7sLyq4sr3FE4NBw I+7wpBgvv2Zmm+sVSHuPR3AoFHVv7yXt+lKM9Rwn4LFjzVhMjNx4mUzi/YorvorOtmY+unwFTcOD 1J86idEWR3FuPupZRcuSl0fn2XoyJibQmy8uWyMBPy6fj9OtzUTcboIaNaooFCYkka/VYki5hMCe McO3xFgpKIZNoxP84Hd7yGzup7o47c92u/TJlchkQZHQF3BpL0o4ddU+n1iszkMmV2IxKfnPr375 ws+6+wc5eGAnixctw+sT9NyXIBrizb37eeTOTcjl09umspwynnysiO8/9yYFaTpWLShjwhWgc2Cc wXEPgaAXj08mnlSjDi/D9hHsky66hiYpzy0Wi8G/PX2UL99bzsdurEYqEZbxXho6e/jxn7bhD6qJ RoN4fFHMemF42M2/P/02STal+Lskq1HYeVBdlEn+TENEaIsHAxLsU3bijFZ+9tIuKvPnFjghFspm iedz66o529ONTacnJ+4KnSaJlDhjMqe6D1KRsWbeqC1BJmDSJ+GaOEdUGc/Z/lo2FWwUi9V5B07B tmVFWgX1o10Um5PQKnUszxGKsoDYC4X01sVL+Nnu/ZSlZ5KfXiCq3ve2n2Bwol8swvt6ziEPT5KQ fbf4N7Wd7SzNv7oO70hbDw8vTKF2IsLTNcJEh4yl6ekc6exEopSJr2ltTjrbz3UQCvuQn1fBR/xi lqFwDR1yTTLicrJl1TpO1Z0ir7AEh9dD66kTnHZNYNJoifZ0EZqaYlJITbJZxe+4UalELlNhEuLW pAHyDQWixdCoa4hEUxI51jjqRgcZ6BgmoFSytrBUlJeEg36CgQnRA16mvrK/vnu8C9mok6SFm/mg 4YoFy5qZxdjQICWlZUQKi+lqbeboubNE3VOUpaRjzc3D0dtDVUo67ecaKJ+J8xZ0IzWN9WJLe0Fp OaZZJO57xUvPv82jd63ljRPtlKfHotZf3Y8o4A/w6xcO0DviRCOXcrJtmB8+Or9XugDBydLuCVzz OFIT4zmsSuP46XrsTidrls8dem48exSNRk/6ZZa4cm5Zlce3frMPq0lBjDFWvHILVNDrh88ik0Uw 61VYBPdVq42CjHS2LFWhUQmFO8o3fnWYqgLBHvg856ChODNfvAk4r6YX4AsE+N/tO/nI9Rvx+AJo VHI8/gCvHTxK99AomxYLHUAV6xcs4Ju/fZ44XZwokFxcNP/qoyIrn1i9ln/aUcP/3H1lEW+6OYWx iS7sHgex+vntVlJNibzVcYhYeTur8zYgU8zlUFRRCe5wlLKka/uplScaGJyYJN1mA4WZ6qxqtjc0 YHdNkqy3EYqOEg5Ois8x7pNSdrVUoJCb3rEhluUuIz15uoD2O+283XKWIlsiU4FpC24BeRYzI45R bFpodU7Q5ehlMiQjUQXOkIFVJaXTaT96Hbv2viNOPMRkZpHf3ER8WiYRuQy5Xo9RpcLh7GLAbmco NElOUhU6hRbX5ABBmRCY68dqmr6Qq3U6qnXTvFrtYB9ut5s+p4Ogt5/UYBiXKkRc5ipx5CYwNYZH OoV7oAWLJZ9Q1I9rqo+EvKuEFr+PIRe8q4UVjDDMKWhpIsJqRirFYjCy99wRbszIFC2KU9PSERrs gQkntc0NjLc0ikPMsjUbcLomGRgZwmaOweGcwIiEImGS/S+EX6XBppJwY1U2vzvQzD2rComGwuKQ tTXBitFixKJT4Xb7GLO7OHaonoJkM5/+yHp8Xj9D3UO88s4ZYk528OBDG0WyW0Q0yp49p9l7tGk6 1usSdLX3k5aZdOH+wjDrvdev5L+eekZUcTe3niM/t5CA30NrZydPba/ju1/6mHg1FojU2uZWznYP 0j3sFPVTK8pTWFOx9AJnVX2Ft8Tj8+H2BQiEImKay+s/uIHdNd2UX5KheB6zu4qCan1RYSG/3XmE z94xXaSNOnj45o28tPcon/3BszjdUWJNCsIhNVkFNu5btxrZVQJljWoVVamx6HVX0fJIpJTbUjg3 NXrFghWjsxKnUpJgSkc7T3hrkjmfX+56VwzGiDWa6R3uRKsxotdbsWiUYhTXecTbMjjX3TBdsIQS rjSwMjuP7uEaBsY91E2ouF1hJBoJEvR0MTZpo98xwovHjxIIy9HKo+RnlRMIB1lh8xNrEra7SpFb m/AF6HJ4CEW0vFbfQoZezmF5HbnJGayIE0Z07ETkwywwmylMqiRepkSr0zI0Ws9EYBRdxIDa62PZ lhsv8F0dEkGbp0E3izCP0ZWKW9jmwTNs6zhDkVFPdmIlWs2lwuQogaAPaVRKkd7E7s4WElQaKrMX iUPd/TV/ZNC1g7Dg5RVSoZBakcQvpmHkFNn6WJLSViO9iqD7/Qx579l6FPHxKJUKZEgISqVEAgGx zZq7oJLOrnY8Gg0Ku13sTAk8RFirRSORMBgJs7erjTytnt0tjegEVXAgwPrzc2h/IbauKOCNmna2 3lBN9YSLd2o7qel1cEtJEo1dI4w0DYjqeaXdTorNhF8qR26c3vipNSoyCtL5h7xUbrzveyKBf8em BZjjrTgGRznZOsQ3vnIX8kuU2wJONPQyNDbFkuq5Xag7t6znlTd38b3fvM53v6DiO79+lWVlOXzn 8QdFrVZndwfb3jnCqMtNekoa//7wXSJJ/saRM7y49zj3bZz/aic4nr6y7wx9I4OU51gZdkSYmJqg zz7Agtz3rvqvyEtn+8E6/EEHKsX5IqPgjjUr2VBVTtfgMOW5Apck5YWDbzM+OYlWo2NXSzNquZrV 2enoZmmt+lwRKuOvzZtElbF4vB2X/VwQ3HaODFGQkkGSOZOTA2fpHx5lZeGiOSNFgu/85zZv4dk9 r6PTWSlMTqLfPopqYpT9Dhdbl1QjFzIOhezFWCMnmgKcaG+jasbyOckYw4gzFqd/kLwZb6qOsVZi rDYautsx6XVkpaVxU1Ep/33wFNlWFTEqHT98p5a7i0xsO91C1+iwaDdUmR5HWWI8UWTcXZpO67CL ps4z9DqmsMsm+MTipWhUF3cLobCf004vGpmPFEs25ktkB+mJSRxsbqQsM4dE29zxo8LEMpy+g2IT InuG44Mgna5hcXU+4RoRbY194RSWpmWxOa9YDHGJeCYZ97VhyVmCWm0T3WxRKmjqbULmmqI0d/1l 0wYfNMiLFy+54i+vJgkVPKYFIm9obJTGlnMsNceIZm/96jDv1tYwechNSl4Bhd4AMQsqRHL9vXJR RrOeSf+I+O+y0iyEDcPoiwdIMGtZXDpzVH4/O090cKxtkLBej2RgnDkbNqmUGLOOstJMlj72O9Zm x7A0N140+QuGI/g9fnEFpZBJRIuZI4fqSdTI+OqPX6csaT/xKXHcvq5UtGj2jU4SdXsICZ01rYVF mSrUGh3dnQ00tbVyth8+fddqsXnwm217kc8I/G5YVs6Tf3yVd07Us77qYgtfuKpPeZ389x+3c9OK ch7cPHtIWyixMr749JPI9oe4c9n0yMnVoFSouH5pJf/69Db+YettohbrPEx6I+W5F7diQYWR775z FLPJwB2lBWhkfr69403urcglPSFbjE3rGB1nbXqcOO4RjEQICCvvqGAaJ5D3gpZnmrwPRBQMjEeI pk+T3ecFiipZmJ1n2ylISSc9JoPWsQ4ISfjhG2/yiXUbxGALIbhBWKWpFCryE21kpZaQZLm4omvt 6+Dw6T2UF60SXRS0Cjm3LlnJD/7wC1yOIpaXrxBfd0FCGa+fHOAL111HXWc9XVNdXF+4XuScIpEw b7a08puTNeTGWvh9bQ/BkAR51EXjiIIt+ZPYpJCVmkfCzHPLpUHOjYZYkplONJrKd97Zz+Zs65xi JWDK1YNaGiFDq+PXp4+TolCJidTnkZiWQa/Piyo6jyGYRMaSrNW80rwfd8RB/+QQzZPDpGgtKKVq rHorFUllTNrHaRnspzK/CO/UIA5fJ/JRL+rMwoscViSCVTZFXPrl7g4fRPzFrQOJVsvQ4ACdne2s qF6OamYiXGBzciumu4aT42OMOyc4faoGa3yCmAIzOyXlStDbrPin6vF7fKi001cMoWsSmDWigkrF luWF4s0z6ea57ccue5yvff4mfvXyUXb+x53obTHs2XeG40eakCqVmFQyfIEQ+LzEGHXoEmJRa5T8 +ptbiU+I4enn9vLO0RbychJFgzmnU487HOJff/gy7qCEm5P1jPl0lC1YwS03Z4jF70TtSYqzLmbX CfjCnTez/eA+osKWe0aE2D00zKH6s9x/3SYyRZuXyz+Sbz/4CE+9/Qq76o5yw8LLDQMvxfKybLRG D2+cOsiD6zYgvYJJr1Fv5Zs3FGEUt1sK2vpauLUkDw9mappP4QvLqe0eQBq04g+PopJHkQvuASoT bs8Ewy4vyRYziqgXT0RN+0AP20TvpQlMlgwWJFkwGWLw+yfFWcGhkTbMiiSWFpVTku6gvquFCV+Y QDBATlIG5WmJjPo15FxyMUtPSGXMJ+GZA4dJj0ukbXiEwjgzsfpUXtxbT4vdx6KMFEqzS1CrDbxR d5a3mgf43u0rGRwf5XRnB0G0DHq9rM0roSLZyl1lYbFb3WXP5cC5RmS6NEL2FtFL6jwK41L4w5mz pJjleANB4k1hPIFJMUprtrZL8FbHPkqMKY2Px1lpaL/ccE8YBPfN42vv99tpmZxCrdIw4otgVsay NiEJjXzu6JDaaEI60Eu/00F0aojkpCVEjD5ks1apQf8kKsH88EOCv7hg+SccHKs7xc0r1lzRvsIo FChrLKmJSfSdrWf3mVr0tjgKUtJITcu4sr5FqcRm0LBz5xExjae3toGuUw3IV8zvHuEXVkzz5HwX FmdQVd9JanayaOyXZTMQWVnKPTfN8h66BML3a8crByhNsbDmhqXiYmL/npOULSzkX7ZU8fNndtPQ 0s/ikiJiLtHvBAQyfJYtiLCSEh5v0i0VxZBCtNS7pxr43Zt7+OeP3jlPsboItVxHTqaCzg4H7xUV GaU0dzv46m9/zvceenze+8TpJbzbPsDNRfkcPNfAzoY2vrJ5FRYx+27aN0wqrWFNSbnoyDn3zQnx 6z17uL5iWs4QCod4wdHODQvKUcjl1Hd18NTeI1SlWVEJyfNCe93lwaibLuI2k4U1pTMSmNAkr52s pa6jgb6JKdL1YZQBHRJNsngswqpyaU4mbtcgFTm5xOvk7G7q5vaqCqwKOcGwAY1aj5QoCyxTnOjt Qh7V862XXqE4LYutVQV4iPLok7/h42uFy6gUlVy4KShL0tI83M7Pdr+LRmMgK9VNJDq9YhH8uIgG UMp8PHe2my+tWUpjdw3egFt0NxVdtQSVTSBAv9PNyjSrKBuRzqMPzI+L59mGw9C7lySNjkKLjUZ3 FLvfw/VxRgJ6E4WilfL854HAHUtMas709ZATmyBe8ATr49kYHJ9AJ3iyfUjwFxcsn0TCuqrqec3v LnsSjZaMRdWkVSzE3d9Hd8DHqYP7kBmMSLQakRtTS6RI9XrRJ0smkVJWnsS+1hF+89s3SEq08cS/ PoLRNP9zCUVBFgrN/zufn96uYeyOKQ7W93LPlQajQyFcUz5+/vx+PB4///T5G0VHzR2vHcGPlDtv XCwWHItGwbeeuIM/vXaMT9y3Frli+qrr87o5VNvCY/dtEP9//7EaervO0T3ixiM3UNvSyav7zzDs GOZHjz2EWX/1L1m/fZj/fbmZz9/657Wm71m9ir5X+mkd6Cd3VlLxeRTEJk/MKPcAACAASURBVPDc iSM4RjrJsiXyr7esRzGLEG/p70ESdKKYR/vTNdSDL+Dh7bNNbCop4Pd7trO6SChW0/ctzciiODWV 0909uPHyp2PHkUmiBMY7xWKnV8qwB+REwgEK4oysLCzm+28dZEEsTEQtHBqK4nadFTVlawuyRNvo WGsaQ4MNLClYQmlKPG82DWNKsLDv3Rq2LC3D6XKxoybAsDdAdqqfNWWrUMjC7Ol1iJ7yCzKycU7I mX1OB8I+FEoj37jtFn62ey8n+kdRjozgDUawarXopBH+652zFCcn0DsxScukhVM9p0g16QiEI3gD AWJ1SqpMmXQOD5KVmExEGP6+BEq9gQcq1op0SE3XIZxRLWsSY0CuR6O2IBlvEB0WJMzPFwoFqjy1 AEN3G1Ll5UVNEGC3jI2xrvTPz0L80BUs058xLnAeUrkcQ3oGwjopnJVLwD6ORCArlSrCUy7cLhfq SET8ED2jo1iCQ/TIDBw91IRXruLWdeXzP7C4j7/IFQjSipde2MOh0x30nWkVt4XXrSrhC5++8bLw VuG+r+w4zs4DjSiiEZYvyGTh8nyxU7jjjRrkWg23bKq8sBoURnpiYoykJMfyvy/so619kMrSDAZH ellYVoBSn0RrawP7T7XylY9v5WNf+ipPfetxHv7eczzxkbt561gXEy7nNQtWgtnGJ29cwvDYpBgZ O9ux4Vq4e+U6fv76Tq5fUsSK/LmrSWEc57FlRRw+e5SVxeVzVrmjY138ZOdOfvTQg5cr60Nunj9e zxc2rmPb8UNsOzrI0QEvH9koNAcuPoawvSqMN7G9doKVRevZe+Y4454w39h5moer4kjSywmFIzzx 4hGSTVomfCE8sjjefHMvi7LM3L5mKd39HRxsCrCisASTIkKnAzFSXqeP57aFcZzubOPuGzbx1q5X 2H6kj+JkGV+6/wEUahWffvkMP90cg9FWysm+bnqmxjjc0IxKU8/68oXsPtGMVy0jz5aGUqEmJT6W zQU5okJe0EIJvNdzB3t4YkWB6K3+2PYTbMw2oVa2UpS0DpMpDZVcCGGVi+MzTW0tSJJSBIpu3oF2 kbsV0o78PlYlFqFSXeTppML68Gqa6GiU1q52nL4psmPn3ikSDHKgtZFlmTniaM+HBX81+aswB6iZ 1T0ROCndrPikgE5HuVbD1huni9S+o438ccdRqssySU+bK3p0O5xsP9TMHfet581tB+ntGqKsKJVv f/E20WP+D794iSlb3IViNeWYZHjMSVCQI3gCHD/WyPpFOUx5A9x7jyCElLJzxxH2nu7m3x6/+cJJ Lay4xkNSnvrFa+QWZfL63rPcsDAdg0ZBQnk5DWe7GB4+xLjdwZoF5UgJs2r5WjRqMwmSSSrysslM jBNV5stKfeI4jkCwz/v+SKVcX76J3761n19t38OaimJyU+eZgp4HqbHxbFiczkv7T1xWsPRqNTmJ yRxvtYitc4G4PtfXS+vQkOjvfveypeyoO8fqvFROdXVj1SpZkFvBH44c5sbKKnRaI1tXbuJ0Twfu ziDP19Zh1siQBr0EgnImXWOcbG/n+sVrUEa9NI9M8M83b6br98+yuXK6ubCr/hyfWJRKZX4lT+45 xe3lyTy0ahVnO7rZdqCZzr5uXJNtjA77GfT24fZ5GZ+Ikm424BW8nqLCyFOQ7SeceMNS+lxy4mxJ HG9v43sb4zDYitGr5KzOzmXRw/HsOdku8qG/fO0A6QlG/ljr48lbU9lx7gx1I0GsPT2ix3uMRkft QCchlRmbddol45m717GvvYnDPQWYHf1kCdsywth0MehVZtFVdbSnC6VcflXfLL9vdE6xEiCRCAbJ V0b/RBcuyQRVhVV4h1qFbK8LA8xCPFqcwTRHNvFhwN+uXt/hmGNds3pJEc5RB8/tOIpHruSjmxdi tZnZ8eK7dNacxRJ0M9rWw9Cwgwc/dTPaWWLT421jfO2ujRdsaZ7Z38RCuY+wUokx4OWrX7qLgSEH z79ymF8++y5bqnP5+UtH+ey9KxmyuzHMbEXlchmf3Lqc+z/1E04Pe8iO1TLoDvGx9RWoVApWLc7j H7//Ko/ft4LUmaL66L23sPvAKbasmx6uNhsMfPLmjeyuqeOd32/j83fegGbGKng+3L9xBY5JN0+/ /q7o7bR1XSXZSYno5wnQnA2bPhGn7xhdY6NkxF4ecqFRa6lrq8ful4qGc2uKS9EolSIX1dTfx466 Zpbm5YkOnAkmA16/n9LU6S2mYCxXlpZGQuMANxUVIuyKPYEIKlkUTyDE2rIqmvv72FbXRps9wLe2 v8lIyITb52FfUzvhkJfSggox27E00US/3U6+KY2ijGQkPgfPvXKAxXkmIv5B9DozAYmOV4/V4vVJ +fHDt4orzq7uTqwKO6rUVHqGArxxpJba/lGGQxL+ebMNg22aj9MqjNy4ZO6WyeXZw7defZcnbt7M 6iyNuBUMRrwMu8aoSkmmz+njP945xD8KuZkyFauzC8iJtXGkp5VYXQzR4ATH+uqpsibh8Xo5J7iX ls2/LQv73bSPNBGVKC8IWy/8TvSrn+eCFY3QbO+mfrSOBKUFf2ASjeA8IblYEGUIxzw/DfJBxt9s wbIVXK7lMtksfPpjWxjvH+aVg404Rh3UNPZzR3Eaja5ObvyXl7g9x0hrxxD5ucmiJmu4tZsks5rY BCvDw3bONPWwNklL8eK5beAYq5FvFafz4rbDvFbTzoZVJWJAbNA7dyRHmEX849NfFI0IL53xEgra xsoMMdF6NvzuMGsWXnSOELQyN62oJjW+mTPtvVQXXdkGRVhpxZoNfOX+m3G63bxxuJEdh/axqDAL q0lo3cuwGHRkJ8fP2d6Vphbwnx/9FK839bFBriLVPH2iOLwuDrZ2sLOhi3RDhJUF+VTm5aEXZtZm UJicIt4ELEw28n9Hm6nOyqBzdEwcktapVChlKvyhKFql4MgpkNnTfzvjxEySYI0SdtM6Ms43blnP 6ZaT7Dx5hImgmk8KJvQzqTFpZi1nOvuZmKijqfkMbeNq1i9M558+81FR9uD1emnr7mWstYuMyjx+ ceAQNxXaqOnx8vijj+JTdPLy293IpT7WFSdyqGtY1HddCQNjwzQ0D3Ln+oVoFVEMKjUG8Zi1JBun nUIyYyDbKuVXx89RnhjL0vQkkk0WJn1q9Eo1Ck06K1Qm9vc0kWCKpTxz/s9vYHiItv5u4pKtZNjy OdR9kuq0hSiVWnb1H6HEMr9ecdw1wMRkL3cW3ILd2YnD4yBGJ1xMVBc+Y2dwEqP2/4+90/sJf7MF 62qwJsfzydviOXy0gWWFyRTlprDppuWcPHYWbPFM9A3xo5f3icPPQlz61rvX0tPRz979dSzfsJi0 mXiw+XDT5ipx2a2SShgcnkByJc+vK/AGG9ctEN1LZ2PC6WHK5UV3yUInPSGJp19/B4MmSG5qrri6 uRpMOh33blxEMFRBc88IkaiPSETKwTONDNuHxPm0ivxccXsiIM5g4bYSLf9z+DiPr6rEF4zys8MN 3FoYx1dv2IDL5xHJ+WePNVKSHM+K/MtPvC2L1zG4aztJRhVORyeHGuxMRozE6+VEIz6C4RCqmTnK yyBVY9NrmfIHSbAm8uyZRlYXJvFOczetIw6UYTsTEQtN7X0sjfdx65ab0Ot0fPabTxL0u1CoTbyx Z4/IMy2qXsyYa4Cby3NJtGXwaI5UHIv6wWtvUZabRWl6tijWPD24h7HxbmJjLw+IFVwvdtc08sR9 N+AIRTje5+SmwvlHeJKMady7QM+P9jewND2ZE32DZFh0yGcmBNQqM2szq6hra77i53V2fJSVBSVo tNMdSHcgE4kkgmsmTSlpVqLPbDTZ+8gVBaUSYkzTr6NtrAOLWo91xuJZEJkWWt9b2vkHCe+rgtXY 2ofLPkmSzYjUaKKza4i7bluJciYYNbEgC18oysJlhaxev5B//t6f6GzoIGd1FSlWHffeswH9PN5O s6GaFbKamHR1++f5cGmxEnDXzdUiIXwphKCIz9y+hed3H+NM+xj3bLi23kqAUNhKZgW/Wo16jja2 0jXYx8SUn8VFOeKcogCzRsXnVpTxy6P1TPphbZYZjUpBVuz0yVKeNs3VvHrsCE/t6edjK6tRnA/4 jEY52nAUlcZKfkq2yO0JtvtTHidORw8Nk0ZqB0aoTkuZtzHfMjhAps7NvsazmLU6ypOtvHm6jvsX JPDJ5eWEUSINOugtyaZvZBSLyYzf52FzVbJYrAhNcbbLwa2br+NEVz+FqXHkXSIFiVHmkGKzicVK wCMryvjp8Xa+uDpjRuQ667ORCmnSOkYnxrDFxrOjsZ+8WA3ZVpuoNbsUYx4v6zICTHjG2NvexeeX l+ALemgdaqAkeYG44jFodbR2dZCbMbdAOt1TWCKRC8VKgG5GkuAJjGGeUfCfhy/sZyo4RcDvEL3G hOHy2UjT6djT3866DB0d7j7MeiNG4T36kOF9VbDS480M6HWM9A+x+0gHt+QnXChWAhLjrZw81QzF 6SKJf8f1CzkWb6a5sZ2Hn/z8X+24lYJ9whUg+HXfu2EpL+w+8hc/fmp8rHjz+PycbO7mhV1v8PGb brtgAGdUmXhsRSXDUz7eam6jIvny6PhbqpfQ2tvGH46f4YGlAr+kwO1xcHLAQ7JBwrhrEtsMwavX mtBrS/nnpBDbG1unQxfmWXHGmSycUyfgCkZIlIe4riSPLLMMuS4Jucoy/eVT6UhUBHhx7ymx0KrV em6/9T48rlEO1TaRaJ6JLfO6eOP0WT66rJjMxAxx9tUb9FBeoONw42kqhdQaJGh0sRg13WKn+fLO qoTrFi8mjIeD3V08utQipufs6xjk9tIcYrVzi0iW2YZRFmDC2Um8ycWYc4BOxyDFSeVIZdMXoCSt joaJcVEwfR5D42N0jo+KesP54A9LUF1SIAORICfGe8gzxrEs83LpjVITT4ahnx1dJ6mITybTcG1r 8g8i3lcFS2fUI0yZhG1GXj7RTXrGXCGpoB0V3CTOo2JhIRUlWdTsq/0rHO17h6BDE5TwQpSTQXu5 duq9QqtWUZBm4dX95xNpLooZpRIlb7d0sSQtEYPoCjEXwsmel5rLb4+/zrtnT7O6dCEyuYaeCR+f XL0GtepyOxOpRI5BiTjQO7fbGaVvfJxDTec41tbKQ+tvJkMf4JeH6rHJRtlUOfdE1qiU4rzlE//z LFUFOVy/NI8/vXGM146189Mv3YlMJqcyM5WjNad48Xgty4vCpFr0/PpAHWcbayBsoL7tf9iyLI0Y cwpxejPymRDXSzHqHeVzO/ayKTeeB0qrUclULElz8LPDp0gxxbM2J5l4UVsoQSZTEi+EnpozmYqe 5PBQH7fkCcPsF98Lj0wm2ogL200h0bpvvIWTI92sS1qCZcao7zzs/jFq7Y0QNVFgmlscDQodsTIV NpVJJPqF99Admp7tiOCl2TmAPTxGrD6eWLXQLX7/2x1/4AvWeRw+fo4t5SloYufyD4Pdg8RlXuK1 pVKxaNOV5yX/FvDGkWO8vK8efyBMZtIoGxcXiQXmz4XL4+GZN/fx1Qeum7GqmYvlGQZ2tQgumnEX hKHdA61inJXAMQ0Mt6GVw8CEi5qOTsoSLRikblGbdCXY9DZ2NjVzm2CzIoxj+QK8295DXXsLN5bk UpKgJ0wYszmJL2+JIxzyoZzHuSElLoYfPfZxOgfG+NO7Z5BoY3jh25t5ZX8NWWk52Cfd2KzJ3Ld5 Jb/bf4BSa7pI5u8vjiAJJFGWlcqJlg4O19USm3xlIeW4S8pHS3PZUnDRL0ujsPD4yhWc7u/gpbMH uSUng+TYuYR4WWIpnuAJeocHcIaiZMaaMetsojPp/pZzyJrqcUS6KEwq5478lUiVl2/XYlSxLLFV MuiZpHGiF5PSil5hJBwNUmfvxBNxEI4mEIoGGfRMsGfwHCXmWNQyLYkaKxXWQlyBSVGM+2HF+65g 2bt66Rhy8NAtly+b2wYdVJe+/4jInJQUPnFjmFtWLuEP79Ry8xM/4+mv34HVnHrNTLzZkAkK7xMj uL17+fJ914upzLPxv8e6eXRJ2oViJYy9/OJgIwaVDJ26SWynf2FtBXp9DLXnjvL9t+pFPsvu6Bdt X+ZDWWIsvzhaxy3FUUamnDx5sI4vraqiLEaKKyjHMeXFMiMxEVxPZfMUqwvHL1WSnZzIvz29nZ/8 w1aMOgOhqE9cuew91chNKxaiVSqpyMzi2ICPDTEyFqWt4Y9Hd7C6pJSNCxayrCiFj/6hidXZg2Rb Ey57/wrirPxwfz1bLrX6Emxbpvp4dPFGarqPcnBgB6uylhKvi5l+DKmSfGsOh3u7qYxPxe5zo1CZ ONF2lASllsq8Al6sqxe1dxKFXuT/5hs908p1JGn9HBgO8FTLMdJ1BmxqDe2uQbwhM1PhXhyBCSJR GQb5BOGokWLLxbFq4zyF8MOE91fBCoX42ctH+IdPXi/abXwQEAyFaOoZIRoRhqM13LNhGbetWsBr h07T0nuCx7euRau+XHMl+MN3DY2QkZjIgtx00SGid8hBSZaFogwN/aMT5KXOJai3FMTgDsy8b5Eg bwg6qvJ8luVmMekaRa2Lu+AMUVG8hqimlWeOt3FiKELKRY5/DsKRAOkWA9/fd4yyxBj+ZcNSNAol JkU8YeTsOusgTeadx/d1PkR569hJHtpcikk/vXrOS87kqW1vEgiGsFmmT9b8OAO/2VeL0WSi2zFG 25BX5NEEFb9CpmN9rpY+p5v9HSe5s6wQ0yx3Tn/Ii1IeEbMDZxPtgpq8xGIVFezVmSso9Iyxq/2I mDy9NrUQoy6BxrEOCoxhdDoNnQOtWGQhAnjFLu+Uz87K9Cp83jEaJrvxS7XkJ5SJHvWC3urISBMq mRq5JCgmdN+alUqzc4Q8XRKNE3Y+krOJM45G0nUpdE+pSNUnYVEaGPe/91nSDwPeXwVLJuOJz9yK 6gqdvq7uYbasvrZ75d8SOgZ6GRjt5bN3XEzbEbZod65dRlt3C9d95n/4zb88SHb6XN7nSEMzafE2 hsa7ePD5bcRZhEQeM0uLbeyv6+FIwxA//Px9c+LrR6YimGYWXY0Dw0RDU1TnlgszUxhNc7mzw2cO Ujsa4Vu3ruHXu99iLCeF2Bn3WGGQ+1R/P4e7HAy5JnioKoduxzjVaclisRKgnAm4sHujGK7ujjML Eo42DPPFey52SxcXZfOr1w9x+4YFFyK3VEoN9eNhrtdMUpJQiD7o4aXj27ln6e0oZXrSrQYODbZR lRTH3q7j3FJw3nYZVHI19y5I5ven6nigslwcQaodGKKu/yTXn7dVDtipG6hnRVoZU+4h9vfUsTpd jkUXg06pQq9Q0+2XMtxxiMz4chL0Vs4O1FOYUEJybIHIRx4ZqeOlnhp08gAOv5wNSYm4QmZsKg8J 2nSc4W5kGDjpbCdTmyf6ZBkVRnb21bEuKY8YlUHkFW3qqzinfgjx/ipYQjLLVWQJWckxRMPz+A/9 ja2oDtSdwR8MYtKZxdXRsH38QkdvNtxOFw+siuOVN17jsU98FMVMERDw6K0reGF3Aw9uXs+Ny+fa QT+wOcivtu3jZy8fQKWQkmJToZBriVOFaRiapCAuBl/IRXV+ibhNm/OcATfvNHeyv9PDlsJ0jvcN kpqazv7ObjYXZdLtcHO6f4AUs4W7FySSYBC4HgVOnwyX345FM5ecd7sFi5q5vKIvGOTF+nriZRLS EtJJN8mRyLXsbe5gdHKYg2c6CIXc6LUyRhxBPr55EZ0RCEVCIpneb5+gIi0dkzIerULB+vJKrvva W9xSdR0ahY4kQwxT0rPYPTaiUxL+86XfoVMZ8AdDhOVyqsvy8UYDnBw5RTRqZG/LCEvzkugPumga rCPgnUIjlYuFyWDJwqL30jTWRdPEKCk6I/VDjaTKZVQUXk/DcAs2fT4J5usuvD7BhkYqCfORnFVM Br2csp8j01DIRGCSk/Ym4jTJhPEjk0CxxUyXc5wcQ6KY2Lw2sZiEWWlAf8f7uWBdAzesrxS9rv6W ca6xhgmnhOrSXOyTw/zwhTewmiw4XA4shrlf1G3763lgyxKONQ7wb0/+gk8/eA9JidMrIanEgH1y nEAweMGCeXYAxKduWyN28Vwen+jxLkSOHWs4y5l+F5vzAshVVn5e00CyUc8j1aWi7cqJvgEOdg5w e0k2q3NyCISj/PehUzxSXcjgpJt/2F5LbqyKh6sXYLpEVybYsdi9gnJ97uu9pTCW5v5eKlL9oLKK 4zjPn24SLZh1Ug3tQ31sO96J0hTHxrwMvnr/beIEiuCMIZD9RZlS4iwm5F2NjLkDJBjkZMQncKMk wJ9O1VOdk0FlSjxLFmj5/q6jfGnjKrwhP6XmZRRkJ11wZwiFw/yk9mWCnjgs+jDrLCYSNWl0uwRx p4Hq+GIxoUfwvToyeJLBST/K0XbRncEd9OIKhfAGvailJvKSF3Ckv5Ejg+3YfV6SR2pJTrroKhuI +PGFhdGbCBHCaGd0bWalEbXcysv9+9DKFOQY4qm3u8gzTB/nhGBZ4+sT3UtVUjXSWV3ev+MDWLBk 7yEd96+NsrKlooOqgGSbldqWEV47dIYbljmxGGKIRKIij/LyzrdEZ9SszFyysksZqMzljb0HxFXW XddvQKsRgikyuf7LT/HKd+7HcIknklCsBBi0avEm4LbVq1g4NMIzO3aJ4Qi3VGaJIzkv1DWSFaPk ZN8Un1teKcbLC810IQFGr5Tycn0vWVY1ubFKpJIoPsGsj7njL2WJSXx95zEGcySkmVVEIhLkMglu 1LxS38y+zhGMsiBBmYblhcWUJAiKbQkpVgtNrjDugA+zRkeyaX5yX0igkc947QvbuPSETD5mTeRf 3qrlxQOnyU/KJytdGNlpR63WEJFOzfL3kvNay0kq4hawKXNueGtJjIbOKSmHR86RpbcyFQqiVcdy Z8rlARxO7wRt4234opCkj6EiuVTUaNWNDdA5fBqV1Ec4qsQfCeIIeTkyfooubz8m2cUh/+WxxYwE DPyhq5G18TakGMjUJuMKecVCF6vz8Hp/LUttOSSrr0AcfojxgSpY7z9Ecbpd/Mcjd3HkbCPP7Kwh I0HPzRUp2KdCfPNzHxH8WsR7JiZlsPWGGPafOsezL73MIw/cz+jEBE/94x0YtO+9c5SWEMcX79nM fzzzMmWJWeg0GlLNI/zXuy2sy4nl/2oOiB2qYFiDTReiZdTOf2wuQ6eUsDE3g9caW+gYnyBeiD6f BWFkRSIJYVRFRRFpSHARkyiI1dtYVyYnViunPPnSDm6EF880syrTSLIpn2119dxQUkKCkKJxCQrj UpHNFOHzGHL5cQen+Mp1S3iutp3AiJc4vQyHw0FOrBq/0cvp4V7297QxNBnmB5vm89aXkqlPI1ET j8PvoN/dw2Lb/GlBaoWcXn8Qv6cDuydMpUSOxZzLanMOwUgQpVQuShRkEiWOgEuw9aPQlM7uwTZ6 fW0kqQUTcTVtTh/XpZrRSq3kzjRNzzkHSNRrydUtoljnRy5Rsd/+NqtiNr3nz/bDgL8XrL8iBHFn Qoya/LRE8SZg/+k6frf7GNXlS0ULntlmbkajmRvXLGVfjZ5v/+JZdHoD48ndZCVd2bn0Uky4XDz7 9l62VC8Si5WAYz0e7l6QQFliDuu5eLL+9uRRvr6+mqRZBaQqJZ6DXU6WXiKWH5maoDzJzPKMy1X0 Cinsah2mfBavL0gV3j59hoFRB7cWLUerUvOJZYJ+av4t/fkZvtnIijGJx/bC6Sa+um4lLr+bf9pZ Q7rFglYR5h+b3mZVRgofKV9G6/gwX3nrAN/etAiF5PKVuFqmIlGbQJQwfR4PBabpzuy0KHba66rO MUi8XkN1XCneWM+FvxXIceVM3qJMMr1VtijPrxT1bEnxUTvu4Oj4u+IqzheVkquZO3xvUEY5MNrE KXsf1bGpxCkz6Z+S4jZPoJN+uCxkroa/F6y/IqRSBXetm7a9ETDS18CxmnokwSAtnV2sW1QsOhZc itWLSinMsPFmTRfjk+99Yn/c6eS5XQdZv7CMosyLhcWikeL0Xf48W8sqUCvmclUSiRJvcHp4dzYE GcHSmaJ7KRKMFlpGa5i24QOf389vdu4h1qRjoS2OZ97Yz5YlZWRcxTL6Svj88gXsa+9gyDXEG+e6 STFJWJUVQ6pJiy8U4Nb8crG7GJdiJsecAlH5lRyJRZiUFqaCQhJQMsPeCTpd3YSjEpFfKjLHcMbh Fjt6Orkg04jgCTnQyq8+c2qUprPalk4oWsCg10EwIKTjXOJhr7NwxmFlS2KlyF8dGT/JEmsRGul7 kYN8ePD3gvU3gO6hTk4397LrQAPf+cxN7D3Vxu5j9Tz5mxd47CNbkcwzZhJnS6CqKMKOg8fYvGSu 16UQripwYYJwUSGXMuUVkqI9fPHHf+ChzRVzipWwdmjrGqci/3LngEuLlYDMGDPuQAR/yI1KfnHl Zbc7SM2Yf3ZO8HwyqJQEwn7Rluap7btYXVFMec70FrEsO4FvPbOLx7YK3vJW0ZzPrNeIw8qCC6jw OoR/nw/xOI9AWAiVCLOtcYBzI04eX1nJmGeC7Q39vNPq4pElVXPcPOP1V05LPg+NTM2oL8qQt16c 71uXWDFHfNoyOYk3ZAeJniFPB6M+L4tt721IXtjmmRVmWkPdvNN/Cp1Cx5K4PHGFJtgky2TCKI4c b3gKnUJOpu7vHNal+HvB+htA74iPtMQMfvr1arGLdtOGFG5av5Jf/WEbfd2NpGbOry0TUouE9GRB pS34nwv/PdbSzVOvHGN9RQJC83BiKoRJp0atUvDVBzazIG+uq4DQFRubGKMw7r37glemxNLnnCDb er4ABGlp7WZ53pWnDG4vLWRvcyebivLFrl/eLPdUq8nGNz9xMy/tPY5gdqGQK5l0u2fkARJUMSZi rFpyY830OmWMuOyEo2GMKlDKQ3x17QLRYE847Sf9dt5pH+W2ohj2MAhrzwAAIABJREFUtHUikwbR KWIoTdRj0+lQyed6lfV7xrAo1WjlagKRCOcmhtHIZQx7Xcilusvsi7P0Oo6OthOrNmNUxLEw1iSa /wkXDIVUTTDqpn9qjAzD5VvjMZ+DZmcnOYZsrGoFDY5BfCEnKpmOY4LHvjaTt4f2iRbMZuXft4Hz 4e8F628AQ+Pd3Ln2krAJiYwb1izhFy+8wb8+ViquMoRxj2lEeeWtvfSNOPnsfTcRighnVRiny87/ nWjlsdtKKMuf2w27EiTCAHNCCkOuHhIM86+QLkVpQjyNw0IIaDIOl5OPf/tZfvrFm9HMDEhHiRIU NE+RiDgU/MtXX6eld4oRR4gV/5Il/o1KMferZ9Tp+dgN066s82F0apya3hFSzCqWpWdysLNXzBpM t8xdGRbYkliZ28nWigUoZvgkIRfxxwdPEIrI0CslVOXGUhQbx7HRZgpMMZweD/H/2jsP6DjPMm1f UzVVGmnUe++yLPfe7bjEcWJD7ISQEAiQEJYAAZawCz+h7A8L7FKWEpYskJBCQhKHxHZc4t5t2ZYs yeq9jUZtep/5z/eNbVkuibM/CzY71znfOdZIo5mRPLfe93mf577tPgveoJS7s3LRyktosbZxdGiA dmsvOfpw8U0QRLlUSYY2mfzoDAIhPyfNNXTaw9H2HkYY9tkYMLuZEVvG5tI5BPETwIFSYqDF2s+8 pBIIKcQ/MLn6ALv760lRR5OsiqEwJhuz08LSxHyOjF0bWxchIli3BGeaR7hjthW9ZvKR/uCwhaDP zktbt6JQxyP1DaOQB+m1eNlztJ77Vszg9V0H8LhsaNVy2ocdFOiFYAcbPp/7sq/VjRDM94RxFqFY vqdljAfC6V3vi06ppHtcyojVxB/eOcMPHt9IWkJ4xeTyuNhx/DRuj/DvAAmxMjYumUeqUUv3kI0N X/0p3/z4SqRSGT6/UA+SI7to1fJeJOiMrC2Z2HqNugLohCyxi9i9Vva29omJOSGpBblkokifFZvF rEw7SToD0So3NYMWvHEhNufMFldR4vP2e2gYb2DIDUOuBnQKBfflzqDbbufcaIvYziG4uV8Yt5Cl kxEiCruvjwxtGnMTJ05Mz1qqycvL4lh3H78+t4c0owq9WoNE4mHE5qBWLsXqDZCslmP3S8nTp4o9 YqMuG9X+WnJ0SSilBpYaJxpRI0wQWWHdAiTFJVPb2sP8KeGitEjQywtvvs13nvwc59tqOXx+lMfu WcufD+4lJlZPXuEs7l67Jlz9kMmQEOJ0YxuqKCVlOZk3zny8gp1Nh7H7EvH5g8zKvPnWiCi5jHhJ iA3//DJPP7ia/PRL2zsrv3h9D7NLS5hbUXhN8k5mooIEg46DNc385u0zGPUeMRo+GBXgh596CBnX z7e8HsP24BV+6H5+dvgCD8/MZsA1jJccsaXAG/CKYzLCOM5dpWWYbB0c7XLSMWznwaqwBbQ/6BJX mWp5FJXGPH7TdIa7MitI1YTFsTBGeE7hht5gyEeb7STeYCyB4ADlsVNQXGUSOOIzU0AJK3Om4PH7 xSRtoeg/7LJw1NZIWaywVVSLvy/hduH31znaSZzET3r8NPHjCDcmIli3AB9bO50fvfQu86cILQWX 3oRBhuxR7DtzmuaeUR7fuIqa1naGbRIK0xPYsFCo9Vx51C/Y6UbT2NVGee619ZPrcWfpAnrGTbx0 rpeihOv7i9+Iqqw4lpRns2SaYOULYzY7P3rpbXFUqOiqVCPx1QRDbDtay+c+NJ855WW4vQ5UF103 3zpxkiMNDSwqvRiyehNkGGQ4fUEMaugZt7AkTxgTSqLd3o8UtegccbCjj5npqWTFqsTesBiVEV9g nGGHYDxYh1Ypw2QLYnFbKUlKxy+3cVdmymWxuhJhbKbbPoRGLidGqaHTbkIh7UcpU6CU6rAHnLQ6 6inWl6ETE5wlqK+YQLBZeynRagiG5Ix4h7F6XOikWvRyOUO2fuI0iRGxugkignULIMwUZqcIfT9e 8a+vwN4z9WxYmExVURlLp2uQy+UMjDj4+LqlvHmojgVTrrVpaezqR/8e7qbXIifDkEpunJ2e8V4y DDcndAJqjR6LTMKBs+dxecZ4YVcj//zQiuuKlcCotQOH28/MEsEqRXpZrASWV5Xz/T+9xLzSQkZG bbT391LbOsYn7xK2jtc3qht1CXOF4dVIhsEoXgJVCSXct287PaMOFmYnkHnR4UE4GPi/+xoojDcw 5holNVpHvjEZvUoupuYMO60cHe5gmXoiLOQSgtvCzt7zzEzIZlHSFDFtesRuIkFlwOIzUz/ei1ap ZEH8TLSy69vndLtDpEdH81bfIVK1WkpUmdisXZwYM2EPCHXBm6s5/m8nIli3CMunl/J/fvMmVUVp DA67UKuU3L9q46Rgig0Lw2+mO+eV8PiPfs1PPp+CQR+Nx+vllb2n2X6slpzUaGraTERrVBRlJZBo iMfl9eP1eQgG5SQb9aQYYy9uGQVXUjkp0RrGXD4ybnAw1W8d552mFqKj1CzKzeBMXxftoz4eW1vK T5/fw0dXV/EfX9zMj1/ZxVMfTUcdNfkkzuf38d3nDvLUR++Z1Ax7CY1Sw/o5Vax84udsWjSFKXmZ zCrV88OXXiPREC2uyLJSElArw7Uuf8hL52gf8dprV4VbW47z6blJKAMxVKSEDxGEGcAdja1sqshi Rno6W6bm805TN83mJhbmZJFhMKBTxqNTlXLI1ICUIAppHGWxyegVOlqtQ0yJSyRZnXi56dXjsCAP uMnQ5qJXGOl3mm4oVjbnAN32QbSaKNakVKCRCwcFMgyaNAQHINNwA30jXeSnTnbQjXAtEcG6RXB5 hF1EgB//8RiFGXHMLc+7YR1KmP974t7VvLb/CA/csYKTF1pIMCiZW57KpzasRKmQY3O46TWP8/sd R0mJtzO3bK7odvDO8VMEgkosdhcu7xgxOiNdMg2fXhiu6VyP1GgDmyrK+M67ZznRY+djM8KDykIF Zun0QbEtIS7ayObl03hpz7t8eOlS9Jrwm1foo9px/CzzKwrEdobrE+DoGRN3zS/A7fGhlIcozEin qrCEwZERmnu6ODU4yMaqSjRKKduaG/ErHfysejfr8gvIN4RbNUyuAQ51t7I8q1K0NxZoGzHxRl0H q4uyKU8ON6aqFVHcXZZPo7mXkz3DomAJxKviWZxsxOEf55WOczj8YyxNqcDkGmNmQtHlZ9s53IpX osRq60WjTiBGGU2LxUS/c4hUzRXhwBexu6yUxcRRFZ9/2SLnSowxucgtA+/xvyPCJSKCdQvQbRri cO0pvvnxTfxp30nWL5jLvuoG/umZF5BKo1hSVcCs0gJCIQlWhwelAqYVFTNqdXO68QJN3SbWzCml prUfhVzoXVIQoxMuPfkPGvnF6/to6B9kTKHh7oXT8HtHUcgNBGUqZMFxgkj5r+penlqWPekNZfN4 6RwzU907gs3j4p+WVWFQC3WZidrMPYtm8Mj3nueHn42lLKcIry9EXXsfc8sLGbXa+Plru+g2Wfjy R9bhcHnQqsN+5ULLg1h4lspp7x+BkI8v3LuJHpOZo3WtvH3qj6ybOZe55WUkG42c7G6mwTSCO+hF qjTz7cX3MOIx8UJtDSZbsygagtCtz5/NmX4TZYkSfnqkG4c3xFNLr00jEv4YjLuFuccQnoCX7jEb /dZRZFI3Fqmfj+RNxR+U8ufu02SpE1Bd0bzr8TmJkinx+t14vYLls4opcVm8298gtO0ik/hJVAuF f6FHLkSHw0llTMx1xUpArlBhjL/9nHL/FkQE6288S7jt6Cmae8b4yKr54lG50GolLKzumF3B6jnl +AMhzjQ3sv9MNeN2KanxSsZsDmxOKRqVnGe2v8Nvv/wP7Dhex6YlU0Sb4SuJUmh4cPU09p/rZnlB Ms+drSUtOpGcOAs2zzBmux+ZFPQqLzX9vVSlTfRi7W9vFe1n7inPRR+lva5ds1Kh4rOblrLzxBnu X7WYosxs3jh4SMxK1Ko03LdyPtFaLfUdTRw8W8f6BUUcru1gYGQMn1/GQ2sWoFcr0ajCIpiRlMDm pAQ2+qfz8L88y/SiPPEx1AoDBzq6iVEH+XDFAvFrjVFJfG7mKrGJ1O13izYuQsd4SGplekIxa/PU 2H1u/CE/3dYhcmMmOsfbR4d4q95EWbKU56tPUJKYRqYhHrVCRpxGiVKqQimFdRmzqeuvZczSTpwh X3S99Xg1mM3j9ARUDHrqmZUzXQyzWJlWzunhJvSKaBJU4UmDQMCNxT6ANvPaxtwB0wAJQsTY++RR Rpgg8pP6GyL8h55dmsXssjTGbWPif1ynTziKF+YMw3+Nhf7K2aXX1jZa+hr4yRsHWFBVgNnZT0Nn G4+sX3SdRwnR2ttDZlI8hfFpPDZXw/GuYWyeKJbn54p9WG6/g51NQ9SbzGytbySEnqmpsYw6HCzN zUMX9d59UkI8l3l8lEM1dcwqKSHRYKS938qmxVPJTQsX4eWyXPZW7+FXW6txe4N8+5N3MTRm5en/ 2opUauXz926Z9D2FbvevPzSfFw9Ws2pmKT2WcY53WUjWS+gbP8ldZfmUJobbKYT2BmHM5RKxUUb+ s3aP6NZZP2hnTq7QJZJC7pRU0fPK4vZyuKOXf14xVTQAfC8UUgVlSaVsa3ibNcpE3m1pJifWiFGp Zn7xXE721jBq60KtiUct0zI9PottPQ2ka/UYlLHiltigudY1dNw6TufIMMnx124hI9yYiGD9DRHM UXvNQt6dF6k0xLG28zT2DhMMXbuFEXL29p6p4UJ/F8UZSZxsbuWT6xeRkZDA73bvQ6YZ5kh9O/PL Jluj1La288e9DTywKvw9o6NiWVU42SNeOGrfUCa8+YVtiV80nusZc1JniuJYdy8rC8KtC+/F6jnT OFTTwLd/9xpT8lJ57O6lxF+sDTncNv71hZ18ZuMScTv79pEW0YM+NT6On3z+Y3zpP14iLeFa3/qi rCmYg608c7weqxs+PSeN2Zk5OL1u/u1QPVsqoTTp2oFrOTrmpeWSHZPMPSUSui1WKhOzxEmBo13d jDqHWVdc9L5idQmlQo1KaaS65RzzsiowxBgwjQuBpz5yjdnsMzVRFvRQHFOIUqpnXUYVNaP1JKqc RMsURF/V1T/qsHOmrYVFZZV/N9kEfy0igvU3RC6TMa1oopjrD5Txqn8fmivCYS8hNEK29ozx2PqF fOmXe5DKJFRmhRtNH12zlk1P/4wV08avud+U/Dy+/1g2L+3ezdSCnOu2CTSYLHSND7GpXFjJyUXr 3uw4pbgCbDL33dRrEayWF1WW8/vth/j0hpXEG8KrCrvLxdPPvsbn7l1LRmJ4NaGUV4tW0ZdOQHNT Y3G6XQRDbnpNA5TnFV7+vlNT0zncYWF/3wh2bzvFCUbidfF8pCqTXc1d4vXEwunCJN/l+xjVKixB E7mG8AxmgjqeQDCEw+djwOrkQ1OEr78el0afJn+2rucoQ24PtpCG8Y5W4rRaLF4P0pCTeHUMU+P0 yKQTJ4SC1UxVXAXN5gZe6B4jyemhtfEd3Ho9IZsNi1zG+sRUlLe4O+6tSESwbiFEdwKJguHxEeIN k2fkhNuEesjpRhOFqUbOt7WKzaVCT9Op+na2LKnijqrr5y/KZVJ8ATlurx/NdTzxZ6Qn8npdK3eX Cd3jE4KmkkvZ1mgmXttDVWo6Qw4nRo3qurHuAs/8eS8zS1I50dBMdkoCA8MjvLa/mi0rF10WK4EY XSxvHtqPMSaZtAQtcnlQjPQatzvpHDRdFixhAPr5vcfR6uP42rJC7F4v1X0DyCQjQrme0iQ9zWYz W+vOo1UaUcoCTE83MuayM2CR0aztFY32msaaCQU1KASDPZ+G6p4+ZmSE5wM9HqsYGCvYSjcONpCp Ao1hYuKgzXQBmUTNg1PnMGK10t7SREZMLCMBL4e6azFqDKREG2ixj6MKyNBI1ehUas52tSNR6rk3 xYDX66E4LRPBCCgklXKiuQF9xs3NbUaYTESwbiGEFc2K6aX85lA1X10/eZbstf11pCdIefd0G1++ fzn//OsRhsaGSYxN5ExzN49vvGp4+gqE1YWwK1EKTno3oCpVRtPQCKVJ4TGUmv5mdrcM8NTScs71 9zNkj6fHMsqQXSkOPwtxWS+eM7O6UEVKtHAfCU6Dnp7zvRzf0YzLM8j+M+P8/EtLUCsnn4CtmzcX nz/A77fv5eev1fLsU49dHC2WiHN1Ai09bfz89d18+f4PkWKMu7wyFOK5hK20UIsSDgEWZBeLdSK7 1y1aGD9z7AK9dh8nehzY5x9henIO64sLiJaGgzCEx3i5poYRp4M7igqoGxgnXt6LSqehebCG4srN l5/nuK2PZouZOwoWiNY28To9p6USymMMZIwMU54zB49riBOdx+lzKhgMjWLQRTNiMjGzuJSM5FQG h4fwC/IaFYXU58MrkaCXK9HrIj5X/x0ignWLYdRp8LtHJt3WOTCIedxCICjnvpUVyOVK8nOlvFHd iFrbyeJZU8UgCuGN6/cHrgmlGLGMi77uQt3oRizPL+MXx87SbO7F5o0iLVrN4/PCGYMGtY2dzW0k aCWYHW4GrKMM2vwsztVT3WfF1t6P1R1k2BXgXx+9n50nz/NvLx0gNy2Wh7+7jacfuVMMSFWKIyvh rbBwffzOJei1Kl7cfYjcVCNN3WailBJ+v30P51p7+MHjD6G4eJ9LCKs7+TW6KxPHYBK0ej5cpeFH Rw/yxZVKeodTaTVbkXnScfq7Cfms9A/bUQS9HOm10Nt2EqkuG12Un4IUFfnJlRxsO0xqdDIhiYzW 0W5KEgvoHTahVERh9XjIiI0TPe/tYlCGAo02jYXFd3O2pYEZReXh3rmJ3FNMw2ZCOh217S3YfD4x DKQg9cY9bxHem4hg3WIIw8Bmj5yB8T6SYozsON/JizurWbukhMPnm/EcPE1qagNOv59751Tx+L+9 xEefDnfAW+w2jtU1snbuZPvd5p4mkuJufBp1uKOLusEW5mVlsiy/4Jo6TqYhlj6LiYW5VaLdcVBs vZCiksvJvXgAVjc4TKx6EKVCyfr506nITeXF3cdZM2cOR8+384Wf7KA4S45e4ycYNDCtKJem7gGs DgtWh4yNi2ewdFqVuJISOuMlEsFe5YPVeHZ1nmR3RxOPz53O9sZhPjtrFs2DAzz5n8/xnYfupTyn GEWe0O4aJL6tizylkqzsyQniZzoPEgx6xKxBQ2IG1f1nKdal4PfG4AgF6LFaUEhlZESpJ23lvXIF Zzvb8DidzCwqFU98HXYbJpeDWSlpKDUaNAolfr8/0sbw/0FEsG4xBEuY0swCtp9vwS4xsSQ3nm99 fDFmh4dRbxYLExOpazdh7h9n/6kaKnM0dA0N0tJtEhszh8bGcbjsYkF71OoUBWDrwS6++YmJ4v4E QU739DDsdPLo3BU3fE4pejUjDoVoK3Mjzg+aWFcyUSxPjY8nweAXu9Xz09OwOoJ8YXM4UMHlcdI1 2MvJhma+9ciH2Ha0epKgCvFloZBUrL3dDC1jg7zedIrSuGy+u3gLZqsZjXsQhTSKstRsfvHZu/nF mzt4+v5PcK65HatjDJM0gC4xlXivE61SQzDoo9dcjy2oYGpiqdjQ6vXa8YYaSU3ORxkVi7AuynO7 ONPTiczpIsoyTqI+Gq/fjyQQIFsXgy49UxQkm8vF4eYLzM8vRh2lQnFxrEhxkyeTEa5PRLBuMXw+ J7Xdnfxky1rkohtD+E1r1LgZdjiZWpAnXv7ATOo62hh2jfDsjl1Mzy2iMCMTlVLFs2/vZdwepCA9 GY/PTVuvCclFM7tLDNhsvFLTQnqMkjtLrp8ScwmXT3A0vbF4jDgHRNcCfdTEm3HY4iT2Yt6e4PN1 SawEhFnD4qxCEgwNyOVqNi6Z3MYh9GnF6ARL5JuzWmkfHWdBVhLzU8IDxB5PAJnPevnzOcYiMhMu 8NVf/ZH186ZRnJVHntBOIBGscsIiPGA1MR4QamIzRLEK+Cwcb9uPRqkTxeoS0So1i/OLsDmdtHV1 0K5Rg8VCXmoGcQmJwi+Q892ddI6Y0Wq1nB8aFLeBdocdtVxBaUYWSbE3Z6kc4VoignULIfQJbTtz hqeWFyOXXx3+EKI8eeLkUDjVmppfLF5OzzhPP7uLuxfNoTQnjdVzLkauX6S6qR2L3YrHG0QVJWN4 3MLLxy6wcWEV+UYDr+49zr3LBWuX66+g/KJzqJDzd32+t6+Bry6dOckeJd6g4UxTHzbnXu5ZNAeD fvJAtIBKaCUXmXzqmBSXwJjtgjhkLLRLCMk1QpFdSH2+GovXwqBrgCmGCZcKq8OHMUZLMBhkaHyc GK2aZWXlGORdrJp1fVcEpTREglon1qUEavrrSYoroG64F5vbhl4ltC2EX5/wOu1mMwMuJyaHlbQo Nf2WMYbHR+m0WURRM6jVLCgoQXJFG4nfYafTbrsq0THCByEiWLcYcwsLSDRcW2+KUanF63poogzM KtWx70wDS6ddYQJ4kS/fv5rfbjtCSXYS7X12OgYGuNBrpTQ5mguNITEd+r3qRT0WC4tzJ3vBX4nb 58J4lVuqUi4nMVbL3LIkorXXf96BoFQUlat3fkq5jIKMJJ596y1mz5zHqd4upJIoypISGXQ6yTNG URQvdJHDz08fZG1+OZXG7PD3xMVLBw7w8ZUrxEOI9r4e6tqHaeoeoqFjmAfXXH/r6/WMgzJckAsE PHRaR7gnYybx+mTqTRcojI4hLrbo8h8WVVwcq9PSOd58geyEJGI0GnzC6lGtYdQyjjwQnCRWAnKt jnzt9R0dItwcEcG6hRC2QEmxH/TvbzgxZ9OStXzv+TdYMKVAHGsRPxMKsevkOd46cpwH7ljJnLJ8 Xt5zjDG7jXklOho7BnC4AsTqJeJJZGZy0nXnBYWTuVGnsMKanM4jIKx8hHQdjxCmIL/SjUGC2yvB 5XXi8nrRXhFtPzgyzK+27mV43MqI1UJyXMI1P4cFU8rYdrwJafcAD8+awaDdxvkBK5lGJycGWvju AQeaKB9GlZ4pCZmXV3e7ag+wYnohRenhNoZ5FZXMq4COfhMv7jnC2eYuqgqzrhHcBnMXiwpyxZ9Z l6mGWLVB3AYbNXHYdXFYPHYuDdgIQhQXHYM/4Eej03GyuYHlVTMJuJyYbVZmFJdxpKle/Px7ncxG +OBEfpq3Mf6Am1++cYDNy6vEfiyZ0KJ+seYl0DnYR49piP/44mPYnDYO19by8p5TfO7Dy9GohEHr AHPKCukzj7DrZB0xunY2LZk5yY1BINMQxwXTAEc6O5ifPXmldX5giIU5yVeJldDhLtSwJDR0+jjX coiH102sbFr7zNy/shSdJpkY7fWj6U2jo+JK58GZZeIpXFp0jHhBBlUJFahVbzE/eRGHes+Lq6w7 8oq40NbIK/susGFhoRgQcWVSdE5qEp/duIK3jlQztWCyhXTXSCsWiUaU47r+MxDwIQ86GXWM4Pc7 6LEOMzvzWjdUQYymZuWSooxie3MNedEJVOUVip5fCRodTp+P6Ihg/UWJCNZtjFym4h8+tJifvrqd T961GrvLK+YQCnbEbX2N/PClY3zqrlIe++HvkUgC3Lu0hKXT8lk6vZjeoTEau5qQSIpIT4zn7kUz +NYftrN71MqHpySzMKdctEMRVlxCj9PcrBx+dqSOedlZoiPCpXScAdsIq4smGo+E2/yBIM9s3c3q OTMpy0ll66H9HDx3kkVTZ4lfIzhKeHweCuOvzUK8xPH6djotTWIx/2qsXhtneq3cX5hAVuky+my9 fOnZPzO3UMeTmxdy4FwrIxYHiYbJIqrX6sVufyG49aG1iy6LVlFyBeO+c1S370Onz6Yyczpm00l2 dzeAMLws9eH2jCJXJ16+j7CyFNw2BLE7NGomVTLA9Ny54ezEUAin1YIu0m/1FyciWLc9Ku6cP4v/ eG2baEtz5Hwbu081iHOHH1qajc0Zw/ce3UCMLjyI3NS9i6ExCw6XC5dHqF2FeXXvYZ64ZzHZyYnU DgxzsL0TizDfF5SjVkqxeXysLIzjRHcX09MyRZeHUMhNx6hLdJe4RM+YhTeOHWdBZYUoVgJ3L1zI N599maLMXJLi4vH4vBjeo5RjcTgwj48xavXiCQjeUxMFe2HldKi7nU9WLr98W5o+ne9sWUdCrIbo KCNSZQLnhkZZdZVgCeL7yPrlvLBrG/vP1RKbZBBnNAXfq84xL3PSy8iKC3flxyfOYL12QBw6PzHQ RtvYAHqHhbyEQgZHh2gfb0UbpUYW9GCUekk25hBym/BL42jqbEMh+F9FZgX/4kQE6zZGeON/4l+e QSaT4vYIc4ZOmrvH+c6n7iIjMV408xNqSf/6whviltDuDNA/4iM/XcfSabN4+8gp2vtaiNZFc769 h0/fLYwDSahMFWpKCeIqwhcIickz4ZVbgAPt/Xx91zG+sLCAp3Y08PXlxUTJfbxcU09OrI7tdQOY mod5Yu3SK56pDIvdTEJsePs3avWIc4Il4Tq5mEp96kKj2P4wrSifX7+5m5Uzp/Ly4VN4/a5JgiVs 8+7IrRC7za8kLzlcsxKYkpzGj1vOsOq6wa5StqxYy6PP7WX9TAUWdwi5zMq64kqsHtvlrxJWSoJY be9qYFXOLAwag/jzsI/UUN3fw6Kcmeg0cRzuPM78tEJcEjWHe+qx2tTkG+IozLz42H4/QwN9GBKT UEZ9EL/9CNcjIli3MYfO1fP5e1dQWZDNrpM1fGytnDVzZ4hunu39g7T09GAadTC7NJeqwmx8fmHw WMPuU+d4YdceBFOIp361k7nlOXznk1uuKaiLqcvyibqYIIwrCrLQKoN8Y2ctWQY5e1u7BQliSqoB l0/BF5ZW0J6Xym+3vcM9i1di0IXFRhWVhnnMRlKckbVzSzhSW8/XnnmWKIWOFGOKOMbT0jvMy+/u pyQrm/K8ZFAO02UapzQjdpJb59ViJTTAmqwmkqLDVjMjTjdI6SilAAAScElEQVRqhVecO7xyUFvY rppsTmweP/PLo1lTnMdr59voHJOyq7lNjPtKrxBK68I2NMSFkUE25M3E6ffS0FctDp97FYmsyJ1K lDYJp3A6qlQRF50JQR/H/XpW5mcTHRPus/K53aK46dQa1KHQB+zbj3A9IoJ1m/KJf3kWo0HJtx7Z cjHuS0lrXy9P/ep5Rq1BVs1MYW7FLNGd4ZJoXGLNnJk0dHTy7NuHSYzT8PCdi4jR3twwrts/Sk2/ ie+uXoDV3cOJHi/3VpZOcnmYVhSNP2Cja8CEoSC80lg2PZvW3hFRsFTKKHJS9GJAxn0rF2OM0YkF bOGEbn5FHnur6/k/v3mOpzc/yAsHjvKVjUnEvkc7QGPfAL89eIDv33e/+LFWKSU12sgzx2t4dI7g whr+b/7CmXrRwjgnLppz/UMMO6rRR8Hj8ypFR9UraRnuZW97kA7bSRI10VSllKBWqFEKXvEXX6vg GBGQXjz9lCqYrzNybtDEfH0skmCAQ80NlKdnkhBrvOkm2AjvTUSwbjOE6PdTredp6B7ixxvXE5A4 CIai0Rl89NRb+NoDGzHoJr/5rkd9Rwef33wH+84c440Dp7A67MQb9BijNWRk5KLXyBmwjdFnEZo3 AxjUQaQSGW3DblYX5xGv1aCUpxOvEexeru2Cn1Ua9qK6RI/JxcySeEat47T3D/Pnw7X804NriFJO iKnwpk5PTODBNUtwuOfwzNZ30RrUOIIuYrmxYBWnJVNSUMzhznZmpaejUWjYUFbCwfYW6odNGDQh TnUPkR0Xx4LssHtrs9mFN+jk3RY35cmjnOyuJStWRp9VgUoeIi1GsJyRsql0PjLpZDF3eyy0j7SL 3u6BKwp4yZnZDLY0crTlAvJgiOKMLBIjXe1/USKCdZtxobeDk40dfOPR2fxmz3aiT4YYGjCwYLqe bz28CZX82o7y6yGEW3i8ATYvW02v2UJKvIZxm0/cRr57+iiV5UVkx6VSGK8gEPLxXPVZuscUbJma TnZsuG+qbqCd5Oib6xtbN6+Cn776Dlq1morcNJ7csnqSWF2NVqXii1vWUW8eoG64h3T95F6tyci4 v2oK1b19/PhwDV9ZUkqPw4pNZmFf4wAPTs3mzqJSomQTNaT8eAMvnB3ljiIFR/s7eGhapXgaqheH mkOMOi0cbdwLCO0MAZ491cmG0jjitbFEKbRkxRdCKEDDYAOmkQaSjKW0DA/R43QQr1IxM78IeWRu 8C9ORLBuI4Qi8Dee+xOZCUaaBloYGJSjUkqYU57AmMUlFtWVemEl9P5Dw8VZOew7U89HV88jL00Q gxBqZYikuDJGLGPMyyoQLWAE9rYOMiM9jUfnZPPSuTraRgdZkpvJO80jfGvVtdmAl0ZqriTBEEN+ ejIfWbVQjCG7Wfr7hlBqh9/za8Y9Dtw+SI7RkRzbx89PXaAqU8uqjGIS1H34hLj6K8TKF/SSER9F SWaIVEMS6UoLibrJTa87m1pZUTqN5/ftYGZJMVLGideGraIlUjlaZfg1zMyYyva67WQ6lPTZHKwt nSLWECNi9T9DRLBuK0L87PEHidXrqOs7Q1uHhPuWLBY6nzhYX8vzB97iw/NWkG58/2CDGK2SoTGb 2I0tsP9MDdkpyWSlJBEKydhxvJ5gcJzS4iJGnW7uLi8UC9gfnzmV9pFBXjs/QIwqxEsn6ulo6mZK XqJY8P/jniP0j5hZUJHDnPJplx9POGGLUiiQXkxrvhqX18XRhhaWT528lcxMMHC45Txccr25CiEx Z2vzCWKUsSToZBQnpJCuSyJZrxLnL21+B7MSJ5wq+p0jtFj6iVfKSFHZMSgHGLQ7rvm+91UJDbTQ HqPhQON57ph6bSK0iFTFzNQ5OJFzR2a+eFPEpf1/johg3UYIDZtpseHepkGzn+yk8IiJBDmZsan8 qaWJGmMPqXPj33eVJbiPZiYZ0Kn1uDxe3jpynu89ViaOuKxfMI3athZOjkTRXN/KPyyomnTalmtM 5pGZRtrHRjjc3M1XPrKWNw9V8/Ke/XQMjPDpDav4ySvbxKN9IVDVYrfj9llo6mvn5SPjON0+FpRW IJX7aBloJyU2id1nahAO/1RqDwfPDlCRZ2R+yVSitSqOnBsm5NnB+nnzkcgCDLn7iFVk8GbzOU71 jHBfVSKrsq6N0bJ47SSp5dh8dkbcQ4x6/Yy4zSxPnUvPeA8xvmESNOUMOHsZFkTL70Ch1BOtjgo3 gALZiQm8UwNb92/lsbsevHz7lSTET8SHRfifJSJYtyl7T/fwxQ9duR2T8c1P3ME7J85R29rM1IL3 toyJi9bQ1m+irr2N4/UdPL5p/sXTRkHMlEh0WnIlalYXCauGiVXRqNXM9mMXGHW4mD2jgrsqy8St o9Ap3zVoRq3spLqphYzEVH744rvE6AMMmN2snTed+5YvJSDEtsr89A3ZqevqocVcy9KyOSwrXczh hlrOtbfx0OoF1HQ18eSvf8/KWZnMKS7gXEcL7zZf4K4VxaRqimj1tHBHbjGfmX6jGpqfujGh5cLJ oGscrTyGXL2MyrgcUcwVQQ9LKj6CXBLirKmFt86fICs6hYCnnfKsbFKM4ZTo4y2tFCUZGHTGcbSx jvnF5e9ptRPhf5aIYN2mSKQB7J4Jy5ccsdkT7l85j8d/9DI/fiJbDCC9EXJZFN/8+GZ+9PILmMeC PLJ+Ytbvzw0dBINe7i4vFT3W7S4Hpy+08sbBC2Qmy1g/fy4//uNOzjQ08+9PfEy8jzDvl5uaJF4C u0/VkJ9uZNDZw12L5lCSMXnguCQNllWVYnYVkKQOb9ny0xLZdf5dUg3p4vWDl/ewad5DKKVajjRV s+PUWZL88SzOeu/YMaHf6lj3WfLioknWXT+YI9UYNhv0eUbJVIYwa8dYWCSI9sSQ9oWeTnaeOsDT Wx4AmZqa+j3YHOPoddfmDEb46xARrNuUJ+65g1f2n6JoUz525yj9ww4GRlx0m3rJS0viREMjCysn +2JdSXt/vxiYIEGIUJ+o4QgF47HhAeaXFvFmbQNHTtRSlJpIUUYW3//MWnTqsJndr//xU1Q31bPt aC33r5rG4IiFGF20mPY8ODrGyYYOvvKRO/nZ9nrU6itmd65AiuKyWAkY9Xq2zLvr8sdff3A1fzp8 lPsXrSRGFUfX0BAW77h4+CCM1NwIs30EHX6SdddzWZ2MIiqOvIQCpig1onXy5Z+DZ4wOUx/rZswR xUqgsuzGrqwR/jpEBOs2Q3CvrG5qYO+ZTpD4+dmr2+g2eclKVrJsehZluRXE6uJ4YdduXtp9lic+ vIyirMmrGwGvz8ebh07j8vj53IeXXb591GJmx5kmouPiGfP0klaczerKMtKir20snZJXRI/pCI/8 3/8kMymXQNDGtz95H1sPXmD1nDyG7WZO14/yxPrw9ur9ESpo4VrZsN3E9184wLNPflL8ODMxlmh1 As+eNlGa2kdRysQozpVcGO6kue80KwonXtP7EW+YvGJr7qzj5wdr+IeVi8lNjtSnbiUignWb4Q8K s28qtiwv55dvnOTuRWV8fvO1W6SH161j45JxnttxnPqOThZUChY00fj8LmSyKAoz0/jlG4e5e1Ex 8YYY9pyqobW3k0Awml9/cgvRWh2nenSMOK3sP38Mh3Mcm03BkxvvufwYgm/83YsWi1dzXzc/emkP rx44ws5TNVg9acjkbTz1wDJkkg82Q2ey9fO73Xv57ZOPkhIbPvEMSCSMKjR8emE+uzvMqFQqsi72 g11JsiqKkoq7QPrfH4SJjk7mJw+GG0wj3FpEBOs2Q2gNmFZUyJ5Tp0S737nlN67nxGgNbFhQykt7 jlPd9GcxGCEYjKIyP5kVM6pYUJnL0mnTef3AYXRqLUaDgQ8vXXz5/tPS0vAGkghk5eDwWvnMT/7A Y+tcaKLU2L3j/Nuru/GGLJgcbRg0Rr78kS28uH8vP/jsBg7Vn+P1I6f5wsaJLd7NsvNEMyVp+ZfF SuAPDftYUxGNwuFnTkEyesmoOKB9NbG6a6PrPyjJcTe2vYnwtyUiWLch/cNmfv3nan73T/e+79dm Jmfyjw9MThl+48BB3jh4mKLMVHqHenG5PWxcvOCa+wqFdLWwUlEoaehrxh1085t3X6coLZPqpj5m VsmoPZ/Itz/1CZCE+NbLv2dqTjH5KWkkxcVQb7XQMTZOXtzkIrUv6BYTba4etr7EA8sXMeqYaBbt tXeiCqazZXYeT/3mVb5emIVEErbLifC/i4hg3UaYRk0YY4zi2zwpTsaoNYDmJnZbgm+Vw+26XDBf WJlHc08/h2sbeebNE6yeXcLQWDfKKC3tYzaKE1PQKCaHYDiCOtYtWsI9UwuxOf3MyKnkv3btYdnM NHEG8OiFC6L7w4Y5c8Wv1yjVPLpsCb88cYrvrlzIf+3YR4u5EZVCSXpsOp9afSfyi4EPVyO0HcTr JlZXW2sGuXdqIUpieXT9cgw6IWY+Mkz8v5GIYN1GXOgy88LurXiRiWdkTd1tnLrQQrdpFId7hOiY BOI0cpZOn0m0JkosYTf3dPKZH21jwdQEEqLj8PgEQYjivhXzSYk38P0/vM2U/FRe2ddCr8/Losp0 mswWZmdmkRatI0oupNYEcfiDrJ6SI27TdConW48dJ1avZWZu2Dp4Sk4GswoncgllEhn5hlSCih18 efsrmGqt/PFrT+LHLp4OCtfN8tn5E60JBUnv3dIQ4e+biGDdRiSmJbJw+Xx6Rk2szc5Cp9IRpVSw cpaas4NmGnr7yIxT8KVfviy2JSjlTkqyC5haKeEz984lSSvUd6SoL1qpvLb/KIurpoiBDwkGNb1m O8uLKzDZLHSO2djb2s7qogzOD4zhD0JWbPi0752zh1HKtHx02cRJnE4VPkUcGDdh1MWivBiEoQim 8ZVl5fxgYCdNgxcoSi7hWPMZStIKMUQSZCJ8QCKCdRtRmhhLaWICfzovpTg7S3QXEDjZ3U37yCif XjiP5989zKc2VrG4ZGJVcr67nd/vPMnX7r0XheDnJAjL8KiYWrNpSTiq3S/Ew19sKUjSx4hXnEbJ r46dZXp6BveUFxIIShiyjogd8nfNmijOX2lf/OzeV3ly/cOiP1fdcAt5cTqSNel87+MP8Y0Xfkt5 fi02i46KjGuHpiNEeD8ignVbERaoimQDz1WfY3NlGQ2mUYbs46K9ikB6SoCdRwcmCdaj69bQK4yp SAKXbztad4HlMyZCRRUKHS5P76RHK4hP4BOzprGtoQe3302f2cpbZ3dwx7SFlGZOLuT7Aj5+ue1t KlKnoVZocftdvFNfz2PzBNtlRA/4bz/wsDjeok5UiKk9ESJ8UCKCdRtSlJBKIDjG59/az5yMBB6d G3YWEOgxOSnIUovunRMulyHSYjMuZveFqGtrpds0wqYl4QK5wMmGLioEW+KL3e7CSI5gYHfgeC0d wxYWvXKAObkBNi1bQ2XOlXWkEF6/n7PtTYQCKjbMCa/YBkdtpBGNVjERoiokNy8qvXH3fYQI70dE sG5TSpNyeWZjPlFXRdoPmn14pL28cPAd7l+8DClRtI80cqHNSWKciiSDhtcPNvLUR4WVz8R4y8qZ RVQ3dVOZD2+dPIbZPkjAL6O518S/fOx+vuN+ky9sXsWbR05yvv805alTmVuRwZ7TzZzvaqIoPYsH Vk1YsPgZpzL3eiEQESL894kI1m2Lmqjr/PZcgTE+vXYtp5ra+Pc3t/Lkhs2kx+RzzL2bpvNu3j3T yHc+unrSkK+ARKLA5/fzu50H6Rnt56v3biIYFG5HTNzJTk3EGJOIRxLgT3ubUa9R8uUnXuThNTP4 woYtRCkmd5bnJwoGVpHWgwh/WSKC9XeE2TKOy+ckWZfN+unZ/NbyJr/fu50751Rx99x5qBRqErRa TONyXjy0A3/Qg0yixDzmos9sZ9Q+xqrpVXxl+V0ohADTixZYz+3dz4KKcOLzY2s2EAg5cXtC3Lus jGP1HXx0xShRXD0vGBGrCH95IoL1d0SnycySaRfD/oCHlq5n+5mDPPnbnxEVyMAVNNPUAl95uIKV lcJ2USLWq+L0WhweN29W72Tzwsmnf/vb3iZKrmZG7oQT6CMrNuH1+1AopDhcXjTySN5ehL8OEcH6 O0Iuk+BxKSd1jC8qnc7IsJp7Fhfyjef/wPqFRhYXLic+OvpyCs+F3i5M9i72ne7lgYW+y02dgvWy qdfAw6umT3LaVCmV4iUgRF9FiPDXIiJYf0ecbD3PmmkTJ38C0Wo9D90xm0P1dZTnpPOxZesnxXL5 An5cfgtpMVnML/VQ03eMqrRFl62XN19nxjBCBP5G/D9slQgwtMbeiAAAAABJRU5ErkJggg==