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 Temperatura 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 xAAADsQBlSsOGwAAIABJREFUeJzsvQeUpHd55vv7f7lydU7Tk/MojDSSUABJgCSCScYYgw0Hp2XX 2Ou113c53nDO9bHP3nvPXu961+u7eJ0AY2OMTRAgAULCKKI8QZNz6OmcKld96X/P/6vumQ7VaTSS RrgfTh1G1VX1fV1d31NveN7nNaSUklWs4vWElAy6R2gWPVhWZtaPCrlzVP1J2lpuXPw1/DJh/kfg gYhvBnEMkXz/qz+18jC4TyNL/YjU7eBsRFhNjR8cuKBbr/qYq1g+jBU8dhWruCqoBQWkV8NKZuZ/ IEODmlZd/AXcMuHElxCJPYjmWwhzJ9Hi4qqcm4i3Q/ynwRkFvw859gOIaWDfi4i1znpsOPR3iJb3 IeyWq3LsVSyNVcL6CUYYSjTt6lzIVxNFd4Bme2PDn4WGJK41L/p8WT6GSLQgkrdE/y2EhSyeQywQ CF0JhKPIqRWR3I0sHycc+iu0zFaI34LQs8jJHyPSEqEnr95BV7EkVgnrJxSe5/PlZ0/xiTs3o+s6 1xJCITH1eOOfxUysWrjo80ViO+HEw4gprhDptQR9F9CTJTATV/18RXwr+vrPIsunkZMvI60zCHsC YX0aDPuqH28VC2OVsH5CMV6ocujsCOHtm3ij+UoSMlk5S867SCgCmq0NaKLxR8/zC6RYPMLCjCGr 3qy7tNRnCAs/QGv+EK8VRFxFhWlk6TQi/qsQfgHCz4CWfc2OuYrZWCWsn0Dkyy5/8dRJfuntOzHN 1+5PHErJs6f62NRdJmt2YptpdVlf+rkMA2ruJDk5QEJrpTd+K7rhLPh6UgYE0sdwUoseV1bziERs 1n0isxbGnoegAPriz79ieDlk5SGEcz/YayD4OASPQ7gHjDWvzTFXMQurhPUmRiFf4tih02y5bjOZ VIxiucpzxwc5MJDnnbt62LFmiUjlVeLPHzlAe1uWW3t7GAvOUq0V6NF3UBKT5L1+gtAj4XTQoq3H sJZT6xGEoYvQzcUfVumHsGP+/eY2ZP7HiKYHuNqQ5bOEk0+gJW9ApHbW79TXQzAI4gvg7gDrw7MI exVXH6uE9SbGkYsT/N3BYTqGXbLpBCYhW3qaufv6LLu7VLTz2mA0V+YrL55jd28Lb91Zjyw6uY6q O05OjBEjTbd2wzJJ6jKE0LDtZsq588RVxNQIYQ30/QixBzn5EiIeB2MLaAYifT3hxWcQqTEwXl3n Lhz8FqL5XoQ19T5qGYQVg2BsBikJsO4AeQuEP3hVx1vF8rBKWG9i3LSli4Qm+cbBAT5ycy/Nqfhr 3hUcnCzxuUcP8em376CnZXbq5VjNOEvVn5aAgU3NKdG4JA/h2HcQZjsis0vlhoSD30BrdcGq67ZE 8p2Ekz9Ea/3ZV3UeWquBrA7DFGEJpwmhvxdZ+jPgvrlnBf5F0M6A0bj7uYqrg1XCehPDNHR2beul v+gyNFagNXP1O2Qz8dKpIb53eIB/+67roxT0tYAfVonVLJjbfPPGCSeeAS1EpN4GQlNVcLSunyMY +BpaJolIbEJkNsP4WWTpLCKx/orPIxx8qU6KM6FZyBrIydNo2RnEpBoI1k0gX4DaC/X79LtW61qv AVYJ6ycAN23s4A+/8Rz/vjlBJnv1C86u5/Pnz5ymRQv4rft3kXCWqDG9CmjouFqNuaV5GVxApHsQ 5i7QZ3xshYHe8VOEw39COKEjTAtEgND6gF+84vMQyXeDvxdQqWk9apXeOCK9ARGbG0XpYChN2C3g 7QP5LdDfe8XHXsXCWCWsnwC0NiX51Xt38D8eOcS/e/9NxGJXRxtUrnkcPj/KQ0eHuWdDC/de99p3 woKgiiG1+T8oXkRkbmo8CqMn0bp+91IHUZYnQH4PWTyBSG65ovMQmT2EYxegOoBwuqfu9KHqwGLB pbEJKiFYr1Gn8p85VgnrGkWt5vG/nzzB2myct25uozW7eLq3eWM3d01UOHR6kFt2rbvi4z7242N8 /+kjdLRlMDtbuW1jG7/5ju00JV4fgWQGQV9wjJjXhjElApXlI0hRQuhtSz5fOOnohv9RZOkfIFgL +hWcu9DQMm8nGPxjtNZ/hYh1gCwiiyFiMdmVSIF0uSJIH7wzSgkLZoMu6CpWCetahW2b/OZ9O3n6 cB+fe+IErh9w25ose7Z2EbcMkpaOYcxWhN6+s5ff+8aLZBM2m9d3NnzdIFAqctlQ/f6NR/byyFNH sHSB054mH8KN61qJWVfvey0oF5gonCRut2Gn29GFqdqDl34u3BfotrejazNIxs+DiEWdwGXDaAKx DumdROhzalHLhdmE1vIpqH0TqX+wnvrNErxKlavW75NVqH4d6AOrBv6DoL0FtPYo0V0UYQ7c/63e HSAJwgMljJUGmCrd/DercokprEZY1zju2rkmupUqLqdGCuw9N0a+XGOyWOX2bV3ctPZy+z4Rs/i3 D+zicw+9zO8vQFiPPXWYp/ed4d7bt3HzjjVk0vV+3L79p/nv//Ac77hxLR9/3x62rGvn2/su8O2X z/HTe9ZdNQGqHk+R0NbiennKE8cQMYeUbMFKTHUXpY3utyNiU8fzq8jyOURiw4qPJRI3Eub+HpXD CefKuncivh6pfRA59ncIZweIU1A0IbYDggEID4Gm3sM8mLeB9lPg/TcwdoL7CBjrQbSA2DD1uAaQ wyC3QmyGSl96dSLTZw9c/3PHKmG9SaDI6Ia1LdFNIQglf/b9/WzvzMyKgLpaM0wE87/RfT/gzMk+ nj9wljuu66X/wjBPPHOY3/yl+/nCN5+jbzjHnds6+T9/43KxePfaZh472MfvfPVFPv2WdWzf0IGh LxEtLAMxpyW6KZTHLzDkHqA2WUAgSMpxOnqalEw+SstkeBT0DkTq1pUfSO9E2B8nHPk8esevXZIo rBTC6UR0/Tbh0HcRCRVBOeC9CPpa0G4gyhFVuqpNFbd8D+wtoG+Byn8HoVLZB8H8adB3NDjCBNi3 zDmouUpWDbBKWG9S6JrgLTt7+asnj/Ev79k+Kz1sFR61ag3bqadVyvHsbx98lmrV46Pv3cPmDR1o msYze0/z1Uf2cc9NGzjbP048PrvWs7YlyS/ds5335cq8dH6c737/IL/9wK55qehMlAoX8U2JHdjY sWaEtvggY7y5lzi9SHWRaxpe9Tzh0N+D3YxIGMiJElrblftciUQ7mv9WZDCI4NWJabWWewjHjiAS v1AnrQUfOIPUY79V//+a6h42sM0Jy+AdBPsK09Z/ZlglrDcxbl7XwsWxIt891M/7b+y9dP/GjT2M lVy6HZuH957le08eRuaK/Nff/TDWjNTuzps2RrdHHn+Fbz52gD/7g59veJy2TJx3Xx8nrhFFXO/a XS/qjw8PMTg6wgVN4CDZmMhhp5LEK3HGw3NUiyUSohm9qRlp6ohilVTJwWzuojx0kljrenSnniYJ oy6VsOIbkIFyXfhr5MQOtPZP1TVXrwLK4C8svIKIbX1Vr4ORB2MrLDIPSVipF83nQrPA/Quo/S3o bwPnA/W6VG0vWGsVs766c/tnglXCepPj/Tev4/NPHKN/rED3lPJ8S9rkqy+c4YHtnbxwpI//8itv R2raLLKaRv9wjqf3neWP/9PP4iwhh7hjezdffvoA//DCEM0Jh5im09rTww7PQ9FNMtZGKlHvbiXZ Qui5VCrDUFHzfyrSi1G0i/ilI1gph3L5OHrVoimxEc10IHQJRx5GOKobtxWR/ZlXTVYRlJWNv4Qp 4DxIZPEIwl4PZp1UZX4/wuhe4mlnQbt+/v3mTjD/W70uJZ+C8HvgFUBFq+GmqJ6/iqWxSlg/Abh/ Rxd/+vhxfv/De3DLJQY9lxPHznHi7CD/8cO34sxxNpiJM6f6eeed28lml577M3WNHR0WCSfDrnVL F8E10yJhztZuzTyKlGFEaH3D36fTOI4e+mjxdxPm82htCYR9teYhNdBXOLIUhsjcPkTXZR2X9IfR mu5f4okuBIu8l1oG/B6QZ8B6j1KornYAV4BVwvoJwJq2NHs6LH7vH5+iKiQ3ZDP80b96N5a9uCK9 WqnxP7/+PJ/7T8ufu7uhdz3fPvASW7t6MK1X52euhp3j8U56tPvQzPchpqQWetpF5p4AR60buAqz kaEHlRz4LhjLPGdVe4t3Iivno5EfWStG57tkxKcK76ZS2S8C0Q7+P4GxDHFpqCQdPojX1nnjzYJV wnqT48TZ0xzov4AWi/GJ2zbSns2SnpIqLIYjJwf4X198jE+892aaMks/fhpOPE57SysTlTLtr5Kw pqE7s+s3sjiAdJ9HyHvq3bJp+BXw+sDZMEcPtdQB0oj4GoLRz6FlPo6IKW3U0tBStyFzfwjGbyMn HkMkl1EDE2MQvAihBua9df3YvMc0QagsciqXO4sNEYL3A9CuA/NqEVYNOK6+5lTMrAQtgLLLeXMQ 4iphvYkxMDrC0wN9fGz3LTjxlRVtn9t3mv/j197Luu6Vf1C3Z5rZe/40u1o7WNPVw1WDXyKceALh nEVWWudHV/Ii8AqUngaxDWK7QFtG2ig0RPPdaMUNUHkYWdmGyFy3tNGfkYT4RwnH/weI6xHJpaQV +bpw1Pg1CPaC+1WwlODUUdqIGeej5h3b1IQ1aI1SayVILUDth2C0gbGN5aGs+q5L/Pyf6gJYjgDK KkfV5L4BcrOqUtbP7RrGKmG9SaHcPg+MDPChG/esmKwUjp0b5ePvv7J5t462du5MJPjK0z/iX1wl wnKrgxhj36pvwknehyg/OF8hbm4Gc1M90qr8AMI4aEusA5sBkewF/+eQwXnCya8hnHcgEpd9t2S+ H1kdRTgBaPuRbjsisRuR6EEk37fEq6vOwt8AHwS9HfT7wT8I7l8BKdBuBnPPDOKNgX65szsL/glg P2hdoL9l8cMGSrz6T+BNgoocxUcaPOgcoAa5JwD193pgilwVOSki9QnHH0LLTIBxbY8ErRLWmwzl Wk19/1L1JUknRja2/HRuGmGgLsgQ/UpFoEKQSiSxYjGGh/tobm1Dx1hSczUXMvCizKk4cYaSUaQr 8wFEsjOaqRPxWH22bt43vgAjDqII4fJSu1kwYggVsYRNhBNfRHPfgcjuJpz8cWQNI5IbwFcR0f0I Yy/CeBBcNXozDKEam1G3ub+nuvi/AyhSmyZwDYwb6rewAO6fg94DWgf4L4Lx8flprdJpud8HfRD0 X6hHeEvOHn4RzE9E9Tb4R6h8C6zdoCWmpBKPK8tF1U+O/OgvY+a/DYTdGTVBZsW0U+LdawmrhPUm QaFa5dv7j5OvumQSSZ45N86HdmSYLIyRiKcxl1lMDn2fH584ykffuwN9psDxCvCRW+6gXO5nfOII umHTnN5WL0wvA6XcBQr+UDTgbEhBZ/J6hDZdr1Kt/hSy/CgiuYBNi/Kf8o+C1XVF567qWLr+a4Sl HyPHvhpd/FrHZ0BclnbIwhDhuERrug3CC+ANqknsenfPnBmdfln1aqesaBpAS4Gl/N+/B4E1Rbot 4F9Q5lp1RbzmgP9V0DaDodLIZSB8AYRysFD1qKdAxsHaCGIQ3Atgq72PKppTaefiX2yyPI5mzxia D/0oPdda3sG1hFXCusahFnMPjI/y//5wP//6nhvZ2F53LHjv9kk+/+xRfnxmAsvQ+PV795Cwl3Yl ODMxRqWQ567b7nzV55aIxUnEVO0DRiZfYfTMM7RsuD0asREqwpgx1DzjF2Jy9Aglo0Bn4vpLwtFZ EAKRuZvgwpfQpBqHeaDetZsJc7tqOUDuAGRuuLJfwEqiWfcTDn8VdLXUUJ8VVQh7FJFU0gN1mXTU a9Te3FVipxX9ApsWOZBS8Y/Ua1PhPaB9Ear/ETQ1ztMD7ndAqvGezWAt8+8SToL3AjifAX4M5EB8 4LKey75t6h9qoPp7SuYLNIhI1cyiKu4bGaRfQYhhqJ5DRsQ3OvfB9bGJ6D2qv7asFuYtmH0tsUpY 1zgO9w/x2OFj/LsHbqc7czlFyCSz/NZ9t0f//qun9/OnTz3PL9xyPZ2Zxt4nlVIR6fkM9l/kjhtu vurn2ZraTt68yPj4YSW5RAskmaYtlyxiFNxanonCcWwjTXf2FsS81Go29N5P4o8/jC49xDxlpYSa B8nlFqQbQ3pjync5cjSVEw+C9VZEcrqOY4J3DqwZZDRv7+EFQEUmucgcZz6OAgeA9aB9ArzDIN8J zozalBgCcRgC1QV9Gsy7ljjrCdDOgqMiq0fr9szGr8x/WHgOwr0QpsFqsGW2dgwCdX4xNOscsvQk JO4EJ4MoPwLhKWT+u1H5QLrK5UNAVXnqi8hLXxZGEIkqxP4FrxdWCesaxMm+kxwe1/jADRtpT6fx pD2LrGbiH59/iYmqxq/f/RYeP3GUmGmSiScojo2SbGmlb3SEk16V/gvnsUPJmVKefODxnpuXKOau EGrTTSaxHk9MMu6eZZyLjPWdpKvjDlLxHrziBCPlw7TFtmGllv+NnEtuo0kzom06/eW91GQZTQpa rc0oiy69vB/iN87zvApHjtQjvTYViS0MOfEQWtuH6tGOuiBnprShStWeWyJ6uhv4PnAemKtw36/a G1NF7qkvkuKjkP312Q/TFUF2RMSA+xiUPgvOr4DeiIzPAw8rnx7QfrE+eC0ehOqPwLn38sP8cQi+ DtYvgzF7/VqE2gjUHoG0OheBLA8jvW8hYm+rvy+xZsJxJeC9GRFXc53TT1TvkXotgXAqhBOfg8ok Ivb67GZcJaxrCKdHJnjl4iD9kwXevatuh5K0NDyM6L7uOfbHRwaG6Zss8zsP1D9kN67byMuD/ZhI KrUa4uxJEskUu1JZ9mzeQapZfcsKjp48xlNHDnLb5m1Y5tWxO/aqeQZze4kZzSSNFtrSOyAtGCzu p1IbpRJMYksHX/cxvFpEcGIZNTQhBYVgmFp1jHZ7O7aZQYY+BW+IUriVtDkK3sPISX+qriSQ1fGo uK6K88H5JxB2c+SlpWXeedkJNHAJ84/Wa2DKs6pRtGe44DlLnSGg3v9nga9NEZNfvwXHQfzi7EWr jiLryWjP0CVEQ9HGlDf8/WDeDrW/r5ORpv5mo1PEJ6e6kZ+E8CRIFV2pY+UgzE55c6n63ziEPwT9 ZmWdOu+MpVuA6suIpIoMp/4G6qUVCU7/VnonWtMuZOVRhPOz85xeZfUicvIZRPy9rxtZKawS1jWC 7x48yZGLA5TcgN954E7idv0DErMdPrCjlb95/giffWC6LlGHlIKqvPxB6kgkyK5VBVaJpXzPVb0h Mg+YTQxbN27BvXCWF8+d4s7Ni0cgs47nudFyVM2eL3bUhE7o1WjtmB1ltCZ3MDT6Ims67iSUARND rzDs7yUmUnT0vnXJY9oiyUjpKGvTd17aFi00g7StunHqJpGVPsLin6Gv+Q/1+ldKmQLW61F6wqvb 1FT6CEb/CC39sUgAKmsHoZZH6/jZxmSlEAiQJ5fxzqjw4x1TZOJPPfcgeK1gfAe0T854rKp31f8u l1D7MgiVvjn1mpaqK6manfgS0DullVLRloqU1BeMDeZ19VRUq4L/9yDPQemP6pe0+nMrfZeqiTWA HP97ZE0iXK8eWEYD4m3Iso4sH0LEd02tTbuT8OIQsnYMEa//XcOxfZHkg9IgoukTiHijpodEFl5A pG6aOt+rh1XCugYwmp/k+OAon7l3D/25Er//nSf4f37m8iqpnb3reaV/jIMXh9nV04br1qKLXzmP 9k3k8Xw36hKGfkD/6DDjQ4NkOzpZ09yCY80vxCsC29ndy6N7X2A4N0n7AnWvmQgDl/6xZ9GlTrJp PSIEqdbyaQlsWxWMNfw5jUq3lmNk/AAtTTvRNSuqQrV310n34uiPKZcGiScaGw1OI2G1U2IiirIy DQePBSLWS8G8HbM8RiLZc7nYr9K7qVRRGQBq2m8giyp9O0mYz6F3/PTCZKWgbIqVIn1ZUMec0UAI qmA/AFXVgTwD5npw99aN/UQcwtMQnKp3Cq1toH1qqih/qi4ajZZaDIKvakg3gTa3JKDOOwvhEHi7 IDH1efEmwH8KTJWqViEcVTvLLj/N3YdIemidv0Y48ijh2FfQUu+Kalwi+fPI4rcQKuo0mpHVCwj9 DLKSgCBHOH4OrUki5VvRetS0QeMIORx9HPQJqGxBxBrUzl4FVgnrGkBLKsO/fsetaJrOxvY4FydV Z2c27t2+jT95Yj+FZ0/QateYqPhksza/eY8azpWcmujj0MUzdMkUGzZuYqCvjyeH+rn/xjnGcFMw TJO3Xb+bx/e/zO7tO+nOLqx4D32XoephvBh02Nfj4xKUcxjpJsYmjuDnxxDZNO325dGVIKgxnjtG W/vNWA2cNlPJXgblKTpcLSKlxdBmbma4eJBEopladQI3DsmKgznjYsh0PMDI6H6ceBv6Ah7uItYM wZ3I8l+it39WzQQtetzIIVSNz1wRVBqnhK276ktWq+vBL0P8XeB9vZ7CObeAfsdsMppVt+qsC07d F2fXp2bCOwZTndoIpnpPtoP4PARdlxsHKlqMrnYPYb4reqjWdh+yfBTE96D6nvr7w55oy7VIOuA+ j9b6KWRpsG6r3XVf1E0VjRaBKMiAcOw4yBcRxs9cdbJSWCWsawBCpTFT3/Su6yGD+RdSRybJH7z/ cveo4tb4/554mX3j5zmUv8jm5h4e2HoTztS25dYdGU688jJD42N0NM/fgqxEgqYZsmdXL4XJs9Ti WhS1eYUx/KCK8ENCU6B5MirjxM00joxT9kaJW63EWuuF6FjHHVG9eC4K+XPEnXYsfb4Kv+bnyYUD rNN3M0of1dIEGbsXQwlCG74/avWXy1DlEDGjiVgxhjZHwqFqYlayidCbRI+K2A3glZBlVXf59NKi TAX/FFhLdezmHCLMEboPYyviUQsp7HdAsBvkPyo/WJDn64LO2HunCthLvWLn4nOEUm2jLs4eClDT ALUxsKfMA8NqPTNTEZE/Atbl6QQR344cG0b630TTPgT+GNJ7ivDCYwh1XMdCKPtqoRHm1YKM82gq itWU7bOOVDIPUUQWTkGQByuPCG9ApFZuab0crBLWNQbf99jRu7gI9IVzQ3x93yl+5oa17F7bHhGN pYrMc/CODVt44sRhtldPkjY14slO0rH6OMjk+BH8WolE63ri2RYqo+fR003oiTS23R3VqpSWShKS xMDUY4TKDsYdY7h0hHa5A1Ntp2mAWmGYUjBKV/rWeWnlqHcKPdTosHei6wk62EZVTDBWO0kCtcl6 tkuplDUmw/NoBLTHdmGqqGchuVlNaZH2EVYNtPS76mLMaXgVZPGvEc6diORy1pWp9OwYiOWP/ijk wn5SpopEZmz40ZuRha1QfQKRFODcsXwXCqWMX2rZRtA/u1SkapeqFhaeB23t7PfBnD9KJVruhkkH Wfke0j2FLGeiTddqcDsc+uvIrYKqj2hREXRAOPloPW0N1XhRDOnFEeYFtPaP1SPHlSwLWSFWCesa Qy0M2Nht4AUBZoPNNqPlIvuGzvB/f3BpgaGSN9zR3o3lxIlbGrniefqrA6REGzXLp6NpT50cFD/O HStsUJ7QhEbC6aDqTeJRW7CcOl47Q5PoRtPVIyR+qGpuPmPFoyScTtLx2YThmE3RlpxSdZCxcJhs UqU4Ia4/xKTsIxlmMQgJZBlzEcW2W3VJtL0LUTpEOPAFtM5frKd9MkQWf4T0NqI1LZeAVPFcRSYz HRr8+oWqIqc5l46UAaXaUYRhYM9aHKGI7zRCP0FYbUa0LTWTuBDU66gGwtSWIdUR9IbBfQjin5j9 UBWtiw+C+zDYvzB78HohKAcM90cII4PW88lISLogwpBw4BzamnsQdmrKePFLyIpxeXnIa4RVwnod cX4kT8oxaVpkzXtTMsWO9i5eHrjArT3rqFQrPKfsY6SkM5XhwNBFurI6Y/k+WtKLRwpKNtDWc3nA tjXZRLk0wGBwnLXWLSue/ZtGyuhgMn+KuNN4T2BCa6EaFiJqUalnuTyAsBzaktdhLFA3MvU42cQG 8tU+hr2DOEpMLUzarT0YIobt5xj1TtCGg6U3TudSmY2Mjb5CZ9cdYBeQpf2I9FsIRx8DzUZrX8GY SdRhncHagZIK/Ah8JZxMgPnuWXOObniBilajVd8KQa0uAlU3UQD/GDg/D9Y3uSJUX6kr6msVcJRs IaHC1bqWKqG0YvNTfowu8FXTQM0lrl/8V60VkflHEPHbkO5YRFqLQkWPzkuIaJg6hXQPIsz210Xe sEpYryPUppv/8PWX+PW7t7JzfRvaVDdrvFjls199nh29bfzqHRvY3bWGF/rOUQt8jgz1szGZoru5 jVf6LzAUhtyVbuOVkTPcIATpRAfGCkLw0NJor6zHsK/cQ9xy0oSezmT/fpItm9BMO6ozTc8RhjET XdbjL3V/Wg0UR1AdpjBSwqt/h6EXOY7quoMztUVHw8Iw22gWs+fybCNDwrMYqxynK9lYqR9LtDPg H8ErTaCXuhDmUcLhcdBzaC0fuwLfKHWeNag+DLpa5/UZUGMonhJuvgJq36H6E1Yex9aO06oNEVYe QldPU4PZVgt4oxBXx65HeiuDhMpe8F+A+KfAUTbSXt2tIpZGai8iC32KixvDvAGCL4D+7xeRF0io DiJMlcrdCPIrl/VcC0ANSkeTTMHUwthgLSL9+izRWCWs1xEbOjL84Udv4+EDFxjMV7jvxnXR+q2/ /fEpfvmuLSQdgwdfPothmbQZY+wtlwjLZdb2bkDTdfas2xjdFC5M2pwulbgw8CIf2LwH/dLg8OIw hEPZVlqgVwGh0WpvoeIUyLsDeOPjaLqFHkuQMjuRMQt9uDhv3rZYHcRXnldKE2EooaRGYNQoyQES bi4q8A9WXWqTGdobqB3S9haq7im8sFyvZTVAc9hJWeZImRpSjiNiFURqTsq0FKJNNn9XT70UOZk7 QPvgZXcF4x3gvwTVb9cfY20GcRcuFUrhMZqVdEGfKpTPJBNjhcPmkR7Lg9S/vHyfZoJV/1vLsglS dfCk6L9/AAAgAElEQVQWgFpDJj8C7jfAfF9dTjHz5asTEBxG1i6iNalUVb1nXYST30SIGxCJNlBE 1giqcaCU+dE/V2cJf6L3C37ktk08+NwJ/vgHh/jY7jWcGc7xG/fvir6sr1vbGi2G+JMnL/K7772O TCwWdRHnojfbHUkK9w6epubmiU9FKEvBEg5D7gDN9pUtFp2GitBSSjBpdUJCxUySytBpBq2DZEb7 KaRa8IYqZFu2kxs5QtWbQG9upS2xc+r3EeTL56j4eXpjN6KbMbAlMb3CQycOc3PnfOcDTYuRsdZQ 9obI2At0oXQDXYyjNd2EzAdgK2+pFUCqeb4vgPZuMKeV4HPef1UTUvN+5rQAtP5zmyRD4UuU3Bfo sd6GppZfzHzaSjWUKuW0Fxmh8sNlmBDuhPAECJVWXn6tMPcd5ITqmH4QrfXDlwrlWvsHkaM/BPNz SP/nEWZjWUy0BUhtqH6dsRphvQFQ1+uHbt/CofOjfOtQX1QX9n0f0zCiNHFNR5aP7u6KHteIrKYx lM9R9WwGypKWoBilIvF4DH2R2pSm25ihjesXsZbT2l/mL6T+F+/cTKUkETGb5lobbsxnpHKcWFMr GdlFfMqa2A8qjPlnsYVNd2rPDEsaQTwWZ/daF98tYVjz01aLOEXZz6R7hJSxDn1OpJVNbyIc/go4 2xCJXqiM1psKDRCGFQKlS1I+UMKmEo4SuPtIWbvRjOUQ+vy/TY95B7XyYdD3gT67MSLDNogU4Few FLYRtBCxHF947V31IWb5AiJzK7J6CtwS+vr/q8GDBaL1neDtIRj4CvraBQjLv7k+GmSoLuSVGUFe CVYJ6w3ErrWt7Oxt4bGjp3nowFE+dLMat6jDTCWYnBgns4hBX8K0EJoVOTE83n+BUNep+T5vXbuB NZmFRXvN+hpKcgJr1g6bV4+gUqRaGqa55TZEzIy8LBsJHybLZ8jGe7GVYLIBIbfaHbhhESMaeZkN pZhvsbfiyTxD7vO0G9dhGLNTEqlsT/ARQrX354zBTD8mdLnoPoOBhS8rhEJgCAsHGy08UI9elB2L 2kO4AkRfGtZTdauXORDOreB9DrgKhBWoVfYvgTVjvf0cyNEHEc3p+piPMiVMfINw6BmE2oDtVqD4 eVBzgo2+uEQNYS2S6sW7odZRj0jntZhfO6wS1hsMFUG9bfNavvj0C7PuX5/O8r1jh+hp64hU6Y2Q jMXoduKsyTZzXW+9E+R7Ho+eO0XV8+hOpYnb87tyaibPVyMcV3fMi8nKWbKJjZGIcyF4YZVQkwuS lUI2toGR8hFitNV9tRqcvy2aaTd3M+ztpU3bgznD2z1v30RKFe9VwXwWX4X47iHyqnYWlkiKFprs 3dFPpBJXCoMLch9Zrxk9VM99GjSlNl/BujFTddhawVedxNk/UsrvsHALsvI1RGoTQqWckTJ95ZBq m47Vioi3L+hCEXoaYqIJpIaWzRAWUpG3mEjuAPss0n0BEShH0rvAmFGrcscIxx9GNN073465qNwx dtTTZbEZqvshsdTqs6uHVcK6BlD2AlpTs1vJqVic1rZ2hoYG6VmzgPe3+q5uaefQYD93peoXlSK3 t6/bRN/EGN85fhhPQFrCO7ftIj41V6i6c7qz2LaWK0M2s2XBsRglE5jwzpFnlM6oSL1wqqtISjNs Aq+KMbXEtBEMPUtTuIlyOEJmBqlowiLAx4iiq6l80C9C8GV0/zrSiT1I6aPPYBShOXjuAIasoNtK 3a5BoGb1XgLt7St7IzxVkG78Pmjt9yNrg9HqrnDiSTSly7oCG2Kh+cjqjC8j6SHLTyOrdcGnrDyP 1vSbiPjl2qYsPoS2pj76I+LrQd28g1D+MiR++dKokvRUB3Q7wloHJeUHppwgnoyiLpK3Q/mHEL4N 7C3gP1MfOVpgSuFqY5WwrgF88Zl93Lp+9mDvWLFAS77A+Vjskkt4IygyUhuWZ8I2TTa1d0Y3hXyx yCOnjrEt28ya5laqooqlRjquEmTgR7OD+kIzZgpCRBFNSrZgzLIXrmMsf4i43U7Mrmu79FAnVCSz CGEp2EY3ZfcAGJd3GIYEivJAOVmoLpp3AfzHQP9INGYSfehnWCFPw1RDv9UTeGEBUy08VUsuIhvi raCrsZpgSkW+hB216vkrK+XGbwTC7gI3jxTV+ustd/WiW4yIViiLHPX/2TK4fdHvEo5+A2KbQLys wli09C/PJqvCMEJt157r064WXUTHv3wSUm3JlhpUH4FgCGqi/rj4lOg18VGofA20g/UcOHItfX2w SljXAGqhwdmRUe7afLkzNpHPITWdvslxXHcNVgPXBYVkWzut4SAyCC4tIp2LdDLJB7ZdR19+kufO nqRgFrmvbcOCxeiVYnLyOBUKSN+lq+lWNGsBcWgDorp0jokNDPiH6A3roznL9YZXtjZSpXiq6TDV MavqVbKqkxcpviX4D4P14ctSg0XQYu6iHAyRUYSlKZ+pjeAql9AjoCkLmLUQXyIFUk4Ji+xNlJVh wvG/RmtS3bklxLteHpn7LlJtlK6VEclWgoEBREwgjCqh34RIVxCJWxDphZ1kRaodWVYaLhcsY7Yr qXnnLANEYbcjK49Eg9Akf75umzMzLVbRY/zDdVJWItMlnGOvJlYJ6w1GEIa8e3snZ8YKs+7f3L2G /NAge0cG+NpLz3FTexfdPWuI6TqGYV7qHuqGQZOo1r95L9kISwLfjRZDzLSUWZttZm0mS1/5ZZyl nAoWQLU4wmD+Zax4C35pMiIWLyixvuN+CsEI/YNPRYp1JShdCZTS3XZjTJROELfa8KUSbqr5RZ+Q Gr6fw9KzCGEhZpGBIKl1cs57gl55BzW3jKMlo8J7oTaIJx1adGVAt7z9i4aWxHOP4+mjmO4/Qezf 1NPDsjLou6u+UitaOLEIFlJyRn7oynDwObSmzYjYIgr0sIbMHwDxHNK/G5HqQbTWIyZdVQ98ZQL4 EsJ4Z/3xSwTMMjdQt3BW8pGZCApQGorU67I8AfJo5D6qlgNF4ljuaVzDi74Qruwz9GqwSlhvIIIw 4Ft7j1Dy4X3Xz7/AE80ttNkOd2/bRV8hx8lzZyjJEMdxaLOcKBpPGgZuNYhqNtqUSjHwlbXLcdpa 5i9nqAR5HJnEdDIrP1+/yrh7mjWZtxAKiZXJMjLwPG3pnVFUpeckODa5YBCZ00mmepc9/qPSykzQ im+LaKynJqqURQ7X68MMVPs+TcE9H9W30tZ2rBkXkWN0kgo6Ga2dxHNMNDeMDOq0UKdJ2bksU1Sr oAuLpLWV/tqT9Jp31VNLhXjdP5/ik9HCV4wrmBTwToOvHFBvJsw9C/4BROrG+fU8RdIT30cYDiL5 i4gF7LFXApHpQroOUlk0W3cg7CSy9DxClKDpVqgpXy4doaQYhrI/bgLveSjthdTVtdN+NVglrDcQ xZrH6fEiv3P/1MUwB7pp0pbKIE2THT31dFGGIaeHBzgvwK/WKA720ZORBKPP0JW5CdtujupJUpfR Yy/bEMvIS2rSOxeJN6fvU9/60400qdKnaIZORgXvamWEWlKjWh7GC8pRWcM3fbzSPlrimzFkEiOW ZTQ4Q3Iix6h7ms0d74nkDQPjyhPJJJlYqAKnxnTUscMoQht0D6Or8Z7QwtZSlNxJjo6d5d4196Kr NryCCVWZY8TdS1q2ELc2oKv9e8ozy95Dn3w5ivoSarRnpkfUiiBw9BbazdvIkScrg3o0Oz1Wozps 5dNgzPVvXwaU+4P5kcjKWWu/ETn6F8icRGSuv5xCqtGlnErHYojMYpGcFjlQrOQK1lo+QTj2LML5 PYJzcbTWFNL4DEK9h7ENl6pYl0YkpfLK/2tw02CqLTpLb2V6rbFKWG8g0o7SAKlB5jFa0gso1TUN OeMbWBHQps6ey2sRpkZ1fK/MeOEYjJ8kVPOxImBs8lCdGCwT3XQYlxfI6G3kvD61Ojq6OEQQIFWK GX1cJXheNKisIhkjmSIVmGTt1khwOuKdJEkTjp2hFIwxkTsekZhZEriJGrF4G2V/nHismY7O2xgf PkDMyKLPmVuseZMU3IF6aqdsjI0Ya5ybI42VG5SiaLElvo5XLj5PseaTmVF3d0SKNuN6aqLGkH+A JmMLjlCpolFX0wsjSoddL49lrkCOMAeO0UHBHWTIe4KsqeOo9ywqtqs1XwaEPRCo7TXp2VYy04jc FIbqXlTiwlRNuzZrn6Fo+hiy+gLh8INorfVh6nD88Sji0rL3LH6CWgD6ELg/rF/G+nV1O2eVcpoL 7HJUvvZtbyUc3odI3I9IbFtaoiE/Ey2YpfgIpNQy1jcWq4T1BqLiuphUaU4tXF+xazWqtSqZJWQI qv3f3rw7iloi5bnio4iDZH1jTeE4nUYvtpXFUBHL1HjMNC79KzrMjBQlskYPGK0eR5caiSlL4zRr ILYmGsnx9cmIzIreMFbgEEul6+4L2W2cG32c3qY7MeN1nY8igUn/At2xG9G0aaK8jJlODC2ZtYxV CmTiM98fDUtvjvoFCSPDiLufnKaR8tagKU/7WoyUvokx7wwd5hVEQZfeD52sbMWVgpr3DI6jbFqm CNB9Cqr/pb5qXi1C9XaCeS/U/qtiIXDfBvrx+uiOUuuX4oSTMbRutT1nBvQkIvF2ZPVxgoHvoTlq 67WJppTmS7UONaXf6oVyBowxMP4AxFshfBp0VXdaOGWV1a3oncscxFYFded2cBoLcF9vrBLWGwiV alimw5MnL/LWTV2RRfJcZDq78MPlTvkr59JpP/PpbrXATGax3QTJ7MpdINWGmlzlfDSDmHbm68EU 4ZjJJrq5lWJtkGH/BP7oC5F7qGkkaHE2M1Y5SauxnYIcpRxO0GPvjshqMYShT4sc4cB4jcHyJNe3 b8TSdEzDYaAwhmNaNDtJmozdPD/8Mu2xCdrMFhJWC4aeJKl3M1g+EBGP2pGovOczieX//irtVMb1 NTmAbu0iE01yT6XX1t312zTcYxB+A/T31AeOtYug3w76hmhNvdT+FJJbCMcfVYVLRLwJEetEVoch uBjtFdSaNkDtabTUp5dv7idbIe2CpohwigxralvPi6DdvfDraMp0rzLTHWcZWK724rXFKmG9gYhZ Np+64wY+/8w+2jIZdrTPb/tfre+1IHSnND9iQYIouP1knF7c8jhVXY2rSEoqatIStNibom01iyFp d0bpXqK5E1OLUcn1kw9GqNhl3Mp+WhPbyVi9kRRhKZS9MVocyY6OWxgvDvP90y+S8wKqWOzJJin4 PuOepCbhjrY1bMz2kncPoU116BJ6C5YdU9p2LBFjyH+FTLSyfWlU/H7KwUXWxX6KwKxRUo6ei13d Ui1j9UE/CYZSjV8mdll6DsI70ZreBoGyE1b+UwXC8RN1L3e3jMiqpoJy77y3bsts7lnWeRLNZc/5 hFg/A7WvgqFS0cZR+VILbK9lrBLWG4yUY3P7WrXwdLghYRmaRnl4GJoWd2PIlUuM5SYjYag11+9c aAjHiepc8weKJaXaEHk5QkykGcrtJzQESb0TXRO0hhuwneVJAhQCLcTUnEjxnmzeQCzsYWR0H5nU Bhwtu+jFoupX6vor+SPRgHRX001RBNee7uaWUHBs7AL39O685Fs/WS2SrxVZm6mnqWqQWZvxkVZp 6TTiWhMTtVdospdOEx2tFV/TCIMKuh4nvcggtHIanQxO0OR8BLy/vPwDv0g4+j1wEmhpNQQtohRQ QcSSiFgXsvgsUpwG8V5Q6nqla6o9BP5aMBqbI85CoD4vw7NHgFRd0P7IEtYQAxCuX7BbK9SKuGsU 1+6Z/TPC9jW9PLRPFcjnw9D0SKvVCIHrRp3E4xfOcjA3wS7dRO9otDZLRJ2z0fIxOq3Z4sJAepSC cTqd7QjNRFr16OCScHOFUhtL2lFkps8cVm6+jlzuJJXaGM1ZVeidHeV5XpExLiCqygJYKc4ztNjb LtW3xooXOZLLc0/vLpwZhJt1ktFtGuqMVdexIYRBTeYpBhdwdT1yq1cLZ23SGHNGtNVAuVAR0yLj Q9OoBUMEplrD1QzWDN+qQC1scOqblGdGpjIkHHsUwkPgpSLJhbCnIirlV6XfBd436mu/FnTmm4Ky 2FFry/Ta7McuEg3K/MVozb2I/9S8n7nVSXLFM7S1qn2C1yZWCesagCZgpFjG9Vwsc86GXSSeP3/0 oVQq8YODe6kaRt3Rwfc5GQScOfo8NzQFUZFb9wWZ9MbIa0p5sU+OH6XIOXQnES2EkIGLS5WE3RKR lcJyFeYLQdecKP1UKeE0TCMekdbQ8Au4XgnLnK0rKoXjpIMs8VRXwy00F+RJdiU2Em9gNzMTmrCn 3EynoVxNAzTNwBFpXC2O649hBUmkaVMTITnO0s4WDGkTyGr0Gmq4R4vWuy8NJWw1w+m64YznSBX5 XEAW/gZZ7IUgjbDKhJP7EOlb0Fp/G1l4AoK7Z68bM7shfAd4B8BewtVBGGDuUpPOszdJLwQlzdBe QqTvb7jiLMhPRJuSrmWsEtYbiFKtxpmhIXb19nJDbzdfev4ov3LXbLGnGwRk2udvTnnxwlluWb+J NR3zL/KgVo5qN6XaKPvOvExPaj2dXT10td/OROEU7ngf6eZN6FaKuMhi61fe/p9/cK+hC4QiwqbM VgaHn6On9Q50+3K6pkz5GhFlGJQYD06yztzBCwOjrF3C2FJoNkGQv7QuLAw8xssnaE3twtIytFrz I4ccJ/DDAuPhCaQaIA490kES20xGhoFXhIpSlefRmj5dF5lSQoZjyMGDaB2/irCn3m+ZJMzvRc/O sbBRpoiKsJZjQxPEwFJTAcuDrFbquqsG3O9pHs7r6G11JVglrDc4snr46BDPnhvC1jUO9A0Dswkr EILAn1p/PgVl9rf34nnu2tBYHKnIINoLbKfZqXfw0JEDZIr5aDO0bZW4sbk7Gn+50iUUi0MsWFS3 nSbS8V6K5Ytk1KT/9DMWiOrG3P0kjW4STjuuPxDtYlSNioUQI8ukNk5L2BxpuSpq+cUSjYIQwbh/ LBq2VoJRW0swJk/SIZYjiQipyrOklc3KNNRIUfAUxHbXJQGRFiyNCJsge4Zw/OvoHT9XV9+LLoT1 3PyXVXMx4RbIf6HejbTXNp5NdNVs4ysQ7my45Wj+62oIowVZeQY5ehGh7Kzz5/DDgLLWwag1REJv RQwdiaQsiY4tGEulpa8zVgnrDYS6+H7nnTdxZrxELZAcGRzjsSNnePv29ZcWVNTKLrEZaWIYhuw9 eYybOnsw5hTXGx4jkeAjt9xBLjfJmYkxztR83NoE42MFmlt2LnlBrxTKKWExIow89RJLj5oEQYES k7SpwVzgres3z1DtN4aSM1S9E4wGPraRwnIypGb6PDVAml5MMxmNK014R8jY2+gxl7O3EHLucWJe DkOfkUa5P6qrwvXLhBxBcxDOvWjOIbzik5hZJe501Uk3fnHn+rpDRHAQaqfBUtqqGaGrEqQGz0Ls Y7Ac19EpiNQ9yNo/IGIq8qsg2nrQfRfhJ9C9cTJaN0EyxDCUkaG2PCJ8HbFKWG8wdN1gc1t9ru8/ f/h+vvLsfv7ymUP88h070TWNs8MuN2y8bPJ27sK5qEpzz675c4KLIZPJcvzcST60/frI+WFsaB8V d2LBVV1XikANOC4QMamNOcXqEGVxnurkRVrbb26cCkqPiiiSNi9HLtn40rN7yuY48D2qWj9N+q1T 84aL12R05cQuOqOH+brBmH+UhNaKJTJoC3TaonEif4ycGKFXzSrOKnL7MF1Enws7RbWyETfeS0a1 FJx2QlUEl6rA3+BSNFvrgtTS30LtcYjdN+MkKnXzvxWQVf0XNiFUAtUEIlnf0agoM5qnHixQ1CZo i+941bXM1wqrhHUNQXXFPnrbdTz0yhn+8aWDfOCGzZwczvP2XfVvfLdc4ukzJ3nPjuu5ODRIUyxG PL30RTkN5ULqel5EWJnmbQxOvIQtErPqSa8GMvDww2qUXs37ZpaSyfwJ7HQbXdZ6xrXTjIzuJZ7q xgliGInspciq33uepNFLVlvYuLARiuU+WrVNOGaSon+BEoImc/uy7U86tB1UKVB2zzESDtLboJMm wxpj/mGEnqBHU370M8jKL0zZtzQmIN+vMBycpne6U2vG0FLvQpYfRSTevfCJJX4Byg/NJjaVNroD V3QFCzWtEI7Ou7+l82YmJo8zNPpyNNB+tT4XVxOrhHWNQdcMPnDjFr710iv83BceZ3dnFzGn/k2/ 9+Ig53XBkyMDpJtbOLP/EOV8jk/efR/ZKcfRxZAPQ5JT6ZhhxmiP76Bv6El62u/EcF59sVWp3DN6 R9SVaxSV+F6F1vQN0bd3q7UTv5InX+1nrHoY4cejLlXN8Vkj1pNsXZmXuoJreDSZayML5SY9zZh3 iP7aU3Q7S8zlTUHTHOLK1d20GA/HCMMS2owRl1owTL/7HG3mjSSVon0G/LDIsPw23dy0oBfWZNBH t7kjWok2DaE0WsW/qe8bXEz9r/tQ/S5Y99Y35ajHqkHOK4BIriUcPjarqTmNpuxWJkcOMzF2mNbu BRZQvIFYJaxrDCOTJX7/oQNsX9PCB3duwjZ0fu4vn+b2NWm2tyX47G1vxZj2ae9eS6VY5MnTx+lN ptmxcXGHgoyaK1Tzi1b9grGSLXSZdzAe9KFPCrJp5X5w5UXWeJDCic9v5SkJxfjoIWLJtlmphhFL 06xubMer5CDjU7IKVL0yiXB2LUytsa/KQtQBVMp7RySn6m8S1ytQdAcxjdiMgr+gxdhJWfQzUH2S Ludty/49dD3D2vB6Rtx9qLUUltmNJQ3yjJExtmPIdOReYeqxqBOpCCgXnKNDvhMS8zu6Cq5fQPgS M9HA1sfaBtWnIT7HQ33WY94V7RDEfxCkSulsEI393JdCrnKBWPOuBf0bs207Gcm9Qi5/ikx6Zb5m rzVWCesag60JpB/w6/dcjjAyCZsWx+DOrfO1NrFkkl1dPVEhfjHCKpVLmKZ1iaymYdlp2mSSsjbC uH+eNmtOsXgFSMV7G6aJ/dWD2PkCyfb6wodGMGOZaPA6I5vIB+c4V3iapNFO2uzCsjIUvEGa45vw /SplOc5w7TAtYk1UmM/ZOXq1rcTs9tnpsdCIG2uY8I9HGit9BYZzltlFu9EWNRHy3ikmRI5M2IwW xChrY1Qr42REJ8PiOC1GOzU5iB6btu2Zj3y1j6TVmMyw9kD4vyBQC1gXICF17sbNoKtjVMH7AThX tm05XxxFS21gzkdhFloSW6kV56eNbzRWCesagxeGpOOzo5x7N7XyPx87wi0bWrGUtckcTFYr3LZl x6Kvm4gn0HSNQiFPak76qKKehN2OVy2Tq5yLrGSUQr3gDWCHDpadJaY3rbgQ6wdVqsVh/LBEtlP5 jS9da1PHUEPK6XAtFXeUXNBPWLlA0unE0pJYdoo4bWS0Tka90+TMHL3BdmKxhZsHrcYuct5Rmq2F CXOBs4l2F4aaRofYhmnWR5RUkuiaHQwHR2mRveT0cZql+oJp/PuVasNR9uZYC404aaA/gBc8jRD3 YSymhRIOBEVw1aKL7MquYBkykT+FLeKk4ot3QtUSkFh2sW0CbwxWCesaQyoR43x+thAwlXDY2WbT nyuwvnX+Wii1gLU0OQmti3f8arVa5FI6F36lgBFLkXHW4ap5NhlSKPeRsbsJtFrk1hBTRfEViKDV uM3F8l4szySrtTGRP04ytTy5gIJKB+NOB3EaRyUqNUzLTvTAJj61uGIhWHprlLKtBMpiWe09FFqM eGjXLXlmvWaSdrGFinuObn03o7WXiJtr59nlhKFLzr9IZ+zyzsmGMLcS+gnKwQWatPmRmu9dxAjP KnUahKrYHp898rMM+NIlDGq0tdS7g29GrBLWNYbTQ5O8bdPsOtBosUDNLnB8yKMz6eDM8caKGRYj ldElvQhqxeJUV/EyKpUypwaOct3GW6Poxo7MvFUHvn7RVPwJpA5lf4y4oUZ49AVrNCVvhIo3Tlip oEuD7uwNWJl6zSafG2ds/FC0mVk3ro4XeDkYp3kZIylq4Dqwkri1s1j2Ij7qU1D++IO1Z8gaW4gZ 8ycJpmFgRymnSjVj1nrylf1klGB0BipBjrTeuaSdjoKpNVFzzyDNMHKMcP1xHKs7klCU5BDthhru 7gLtPVA9Uvd1txqkkEGNYOBLuFpAwb4JPdZEnEwkK9HN+DU93LwU3rxn/hOKw4N5fnbPukv/7Var PHnkFR7Yuot8qcB3D+xlc2sb12+8XGvylc/7MrqEYUmJBWejFoYUSgtfTDGjCVtPUqhcZMgbjESW ysI4OcNNwPOLjLtnyDobSNtrEDGJZs5Oa3sTt1LIn2O8cpq2KTJ8NVAzfNEFGFveWFHcN6hSXnJR UCBdRr290WKLmL5AzWlGV1HdFATGvABUNRty3kU6nOX9vmoUyBCxiCxNkSRudlKtnceyeujQNs1e vqHErZXHwZrfTQ3zz6HFNhJLvwUrUENaAYX8GcruWDReIWoeiUR3FFW/2bBKWNcYLF2jr3+M5m31 9Ol4/wV2dPXQlMlEtzXtnfzTwX28+NQPuW/TdtZ0dlGqVelpW7pjVE3NV5ifGbxI81QUtBCUgDIT X0869KmVx8iLYWp+jiZrLX7o0l/Zx9rYLZcu3kbqaOXv7hgZ8qwsNVsI5eJFrBVIMVL6Wi76j5MI e9EXqRGN1J4na27FmSp+R9uIFlnZNY0ESc5zjiTXT20vkozXzpDU26J64PIgaLX3MFb8IbFYB3G9 k3hsgQjSaAa9NHvPoAyQ4/sRHEc0fTJycFA6UXU2tlOfowzdKgMTLzCRv0jC6yAWJKNFG/GmlWne 3iisEtY1Bl9KmjOXtT9rO7tJzkgB1c8DKblr7QYuFvNMnswTT2c4fPE8b1m3acFxHc9zaU7OvlAr 5RIXJid54PrlFaOVjMBJdmDTTq52jv7ayyREO13O9WjLSPPMZDPByEFqdg7bWvnWnpkICVfk2dA7 kNgAACAASURBVK7ItMXYRjHoJ6M19jL3gglCTY/8sKL/DguMeq+QNTYtI9pKkLDXUSVPjCZcVRgP A9LxlRWuy/4FKqZBk7a4/1kd7eCdAasuPZDVY8jqcbSuTyy8edpy6Ol4W9S9rbqTeEaVifHjkcVQ c9OOxZfhXgNYJaxrCIWqx6n+Cd5z/eVvu/SMkRTl1370xFHWdXaxtasegT229wXa1VZlKfnOgZd4 zw03Y0/rtGZgrFyitaml7q0lZTSr+OL5M2zPNOEsMlA8HzJyN8hzmh7zFvRl2rAoqPpXV+w6KuM/ xm5/54rWb81DGCC92UsdloJj9FCuvVT3Wp+TwPmyzED4Cmv0mwhFyHjlWTzKtJu3MO6fwNaaFxzV mUZW28AIp7FJRSl0Or7ukmh2pk9XQInAK1CSo2TN/5+984COo772/2d776veJatZrnLBBTCmmmIg hA6BdFIe//T2Xl5ees9LeS+NhAQSCAk8WjAJBDDYgAvu3VaxeltpV9vbzO7+z8zKlmStJNukEML3 nDnHWm+Zndm5c+/9fe/3O1fuHYriCMF0P6lUgFLD2tP8RoUgHs4GLMnVyPcMypKPn9YrFSqNvLIq 3QqlgfSAr5VUehb37jcA3gpYbxD0jka5f9NR3nV+HTpN7sb28f5eRuIx1uQ1nHzsosXLeOHIARqc btyuPF49dphVtQ3oJY2sUxBVKni5qx1FKCQPUessFvZ6h6nj9FnlIbGDWNpHsWbZjKXVdNBa80iL atJxD8ozzD5OQBSjRJRB8pSnv+ooQdK7P2ELllPXKqXEr+gjmQxi1ZRhUBXJ5aBW4SIuDsirgLn3 xycHM0U6iVahIJBpIa4Mo1J4iMjBSgpXCXkFMSN3u4ykNWn0op2g0CrdAlAoNFjVVWhOyRoluRtB KaI91Sk1LSl4HAbd1dk/fS+jsJ/L2ULq3c02XP5GwFsB6w2CzkCc+cU2ip25lQwkEb/9/T1cXj9P dn6eiGXFZWw4tI+0SkWemOKlowdZt3j5pOeEk0n0kSh1ki5W5RxikTADnZ00zRkPfrNBmqMLCV0U n3YGkBt6Uz0ZyXmGm87q9V6xC7d2DuozdK+WrMsEhUhSGJSJoRMRSw3KjXYjLpTqKllb6wR0Cgfx VHfOgBVjmCH2o0wKshiiWVmCRzuKRWNATQYtVrRIJWYOToj6hCzV1IxPfjSTYiB2AF1Kj8t6auM+ Jc8tZvQaIr79GDP7UJg+xdkirVOdVq/uH403/h6+iREJRTFZjAhimtaeERqLpvZ1RDHFyy2D+Ia6 WD6/Fv0ptAQJVpudW1etoXNogGNtLcQyGfZ3HafA4STPZCEhCnSNerm0cb6sES/BaLZQM+8MbbAk +WKp2ft6oS4kPdKOyiDJq5x5CaJWaEgLcTghhHfaUGJVFONlgCKJHjCm6JoQh4infeRrl+a8aDVo GFaFsGUSsiLECUjrb2FGKFYvRavOnrs0SSLprRTShCKVRKU0IxBE8uZWpTNo1Ll6U7kJbkORAxg1 buymHJmdUkdU6yCaOIzWIDXgP3jWzjapZJRYyo82OohRac+uHr6l1vAWTiAeT/L9+15g96EenE6p rMpw1WVLOKdm6krfziM9xMNxrly1DL1u5h6KTqej0GyhYe582luP8XBvJ8UqDQqbjdVFZSeD1dlC KptUueREzxTSPmnnkEm0olCf2XiJ1GeJKsI4TdMbQ8wEjcJATOhFVM5BrTTjjYc5FhnkHLskqZL7 /i0FHUs6j4ggjdeMz9ZF6EeP5JE4fqNRIpWGaXqUO9CJKpLE0KgsaDN62SSjiNNppmdh05SRkKzk cyCdSuIXiyk2Sa7RZ39eewZeIpmJYNOUkhRGCCo7SYQT6NI62T3baMtdtkvu3l7vAfJLV/L3xFsZ 1t8RW3a2ZoX6WvuprSjgM++/jOGhUR7f2UFhkWvcU3AMXo+PZ/d1c8elC2cNVhKk14sqFVqViu5k nDsWLCUjCGwaHpCVS18vRIWYdTT+K0BhvYKM/1EUkprmaWo6peJBfMnNFOjOOWu9JpXKSgXn4Use QpUpojWUoNpcilo186qlVVnOiLgbQ6ZYJorGCBDBRwGTGeySCKA7U4RCbSGhH8VJMQbOLiuVXKzj qSCxdEDW3zdoXHJZe6JcVKtNZx2skjE//SPbMDkq0IXDuPMms9+FaIDh2DGE0ajsmqRSaOQSXDEm Jin5VQqSgsTfGW8FrL8jigscBENRzmuupqmhDKVSQUGRi7h+iDzj1FPhcNmoKXWjVZ/eabLpDOyI hqmORshIbtFjZNJ1Viu7B/oots2svjkbgmIXZuXZKQScCoXOjMK+jEx0Bwrrhaf1GhU+3HopO5tF 3H2291HZcCrm8+LAEWqshRQYXKdF6tSrixEzCeKKAGGGyaNRbqFPhCCOYNevHJMGtOEVD6JXSUKF 05e+6XRcpl1Ir5UgpkIEUiF5WkBq0yeiw3JTvyvTiUWwymRZlZCSg5j8/LBfHlQ2ustRnEaJHe4/ hl87QqFtEVqTm+7R56c8R2O0UahbRCw0KEtax+LDZFRKDBkz8UwYUa/Annp9v6ezwVsB6++IyrLc F9o184vY1jZEZcHkH4BSpSKhVGPUTi9A96mf/InPvuNCXBY9Br2esFKJVqenqqB4klWYQiIYniXi qSHiKa/k34NBcxruLKcLVTWZ+E5Q7EFhOQ1rqXQLioxE+Xj92aJKaUTM6NAq1SflqKeDkBZJSqt1 KTX++BFG0rDIugRlDt68WlMgt9AlMqYWM1ocCJko2hwBSxpjGhU6ke5HkiekX+FFlU7JLtuSEkTS qMaaHh+HslLBqNiOUkgTUvhIxocZFg/Kq6Zqq51w6DBOS63suD3psAkJRBIkUhGCwQ7UWi1uUz16 wxjfTJ07a5Zkc0z2ckxke2iCGKEjsgVHzCH/Dvya4wRHNlOob0Rn/usq106HtwLWGwCleTYe2dsn N95rTwlq0h1WmMH++SM3nMtje7p53/l1pFJpenySpIqa2tIJzGWFgmA8Tiwew3DKHOJs8KSPohQj WHT12CQNpr8m1HqUzptIe3+KwtAo/z0jMn7g9Y/1nEBEFLDrcq/K7u47QF88iVOrI5CMo9Zp0ao0 dCYyXFKkkgO4UdJcPwVWpeQANH5ZGTCTSI+ilZQVJvTh/IluRJIYBTNxdUImnhYry1Cpx4+xfKZO qfgcxrEeWiJD0JTCrixHpTbIpN5oopu+2D60CRU6kwt9RElclyQeHJI1xIyuCgoci1BrJlNeNCkN yYAHrW3m7FkhpNHEFIgKAUUkjt1SjUFlB81foa95mngrYP2DIZFBXzvWT7VFw4+3d7Oka5RFZXaK HGY50AwGoriM06f5pXlWIvv65H/3BWIUGiR3ZQWqCdQHlUJBgyuPR44d5JzicsolsqhGM6VnJiGV ShFPp9AoFESFJNt6g1xdO0aR+FtY1ql1KMxq6XY++3ONlRCTPPjOjH+VC4lUkngqiWksG5FGcAQS BGMCuwaOYdXqubCskWjUg8VYddLAtTM0xMu9x1lR2kaJwoxKoZX7ShKPSv46p/C8dEobw/EdmJWS 841CVsMYlUZ2UnYc+nLSKoGo0CKXlpJb9mnvf9QHmjSaCbOUUj9KH3WS0SaJBb0EVCMQV2DQuXC6 p1eL0Olt8uTAbJAWDfLV1bJuf1gTx5RUo7QaUKj+Fu5LufFWwPoHY3A4wP1b2vnJO8/l6kyGFk+I wWCch/cew6lTcu2SKlSqmRurekVaJoL2DAdYXJ67wVvuyuM2u4POUR/bu9rRajTU21247A7ZRkxI iQxHIhz0DGDWaFGpVQwl46wt+etlNNNCbASxE2YTD0wkJf/5v8pHdoYDVFvsMrcskcnQE27DaVTQ 4UswP6+SYmt2FMeknazuUGpyolf3Y1eUEhW6EBAQM2Gs2gaMyqllUUz0EBdFPLHD8rC2ZJtlVRdh HCvHlOjIU9QRS3hAe3plVVz0I6pEeaWOUxJElTG7gGGxurCMlYP93u0ztv2lgfWIKjyrybfO4JQ3 +TX8Y/BWwPoHoyjfTonfy4EjvSyeX8G8EgfzSrLKo0MjAeYWz97YTGYUbGv38Eqrh49dNm9Gh54a d768tY962TEySH/rIZIKJUq1moXuAlaXVmA1W2jr75VHRwLpAxiERnSav12DVWGoJz28F2XJDAEr FYHUfkhLtuweSJSBcRaNqRlwcLST7nCUo/4B2fXmvIIaXJoCXLMkb574CE6dCbscXPJO8rG8wgEM SufY4PM4MkoTZksdbsW4AsepkBQwpG0mSMEumRglqBghqUhQaKjHp+4mFh7EYJ6+r6iUmvDTWYmN wWQpyeWr+obEWwHrDYB3XL+a1w50ywHrBOYXWfnJ71/h6qXVaGehNFS5zbx8tI+PXLogpyJpLtQ4 XPImIZ1KIaZSaMc0c0cjYfZ5PVzTuASFMsVo7DhKpRaN6m/koiLpsxtncS9ObAf1RaCtBkGygQ+f 9ceJwjAhIc35eaXs9nSysLAIq0ZNVIxiHHONng5hUYXplEkDJSqMOPAI+8hTNaGcwJJXZ9SIMRFe 56GLhgfwhVvJz1ssiwdKGl92VSWjiU4i8SDKjEqWc1YrtBixy5lcQgwTivbIbj2iEJ3Su/pnxFsB 6w0Aie0+MBKc9JjdauTmFdV86rtP8L3PXId6hrukSQjxtibHaXG1ckE5xt2SkM5k2DvYx9VzF6KW H1Nj0RYz4N9BsWUJau3sJqhnvgMmMqnw9C2y6HZQhkA3prKgPXvp3ngyzFN9+1hdMJcaSyHppB9P zE9nOEypSc+q/JnLUon/1O7tZZ69AN3J4KbApKmUV+CO6zdiSBso1CxCpbITTgzKSq6vF/HIEEX5 K1FP6HNplAZ5RCmVjKDW20jFA3KQGvLvIqIKYTDmU+pcilkIMuDZRlnJ6dFH3sh4K2C9AXCstY+u Ad+Ux6+5rJn9rf30DY1SUTI992jUH6CmdGb5k1kh9XFCAVp7u6ksKkYzoZGq09gotC9lVOxDFZYq KB1qhQ6z0v3XUa9MJyEey/1/yZ2gGQHV5a/7Y8RMimf6WrikaDl2fbYLU2zJY64xD7VKwxZP66zv UW8rosPbJ/f8dKd89aQiTanYQEqTwUsfxniAtFqJVv36g3zGoJ/gCDQOpUqD0pAt19UGO2rsmMyl su6VNMysUGox6twEtRYSwz3o8v45dK+mw1sB62+IkWAMvRLM5pmpBAFvkItW5tZoWr28js7ekRkD lhAPoTvNUnA67OzvZjAc4tK6uTmJqlqVCbeylrRWzDofJ0N0xbdRol+I5gwkXnJCY5IcGqY+LkjG pL1gWH/aZqizQatRYp1AZSixj/O6hHSKsBDArJmZ9W7UO/DFgrzUtZ/L5yyXBfqkeURRr0SrLECp MqJLhwmp+sgks+TO14tMSlJ0OH1Wu6R7NWmfDfmIwSh/ZWLK3x1vBay/IYKxJP+18RjfettizGNm qLlQ15jPX7a15/y/fKeFn/zmRZ7evJf5dXnY7C5Z+6imrIim2iqi0Qj9owIGw9nppAupFJs7Wik0 mVlX04B6Bla9TJcYmyWUhAJLlYtl5QRT2oFZN732+Wnth3ERqcBhjLaxVcl0DJJPgHbt6w5WYSGG TqVBpVCxIq8S5aQLf7wQNav1dIaDzHPMHLCiqTSHvb1cVLnopJqotEo7GnZTadfiCQ8TEfwY9AI2 9et3nokOtKK2W1+XfbzVXDFlRfGfEW8FrL8hqgts3NZcykNbWnn3BQ2ophk+znM6ESQhthwIRxLc cd1K6qvcjASipNIZ1MoMP3zgae5cfy6/efJ5PnTLlVOswU4Xe3q7cBmMNI0JAp4J1BoTeeo6eqI7 8aY70Sqltq+AFTcGhQuN9vSDWIYSwvrRsd50BuJbQLMgq11+lugMDvLk4eN0jsa4Zn4Fq4pLceqm X+3UqZS0BIapMDuxSFnfNCjQKrCbikkKUYIRDwWOanRqN15vKxuGt6JSm1lVXI5D78zJdTtT9NNG hXL1636fNwPeClh/Y6yoK2Jft08ONLnoVB5fgPsef4268twcnO2727nhiiU4bBZ5O4EffPbdfOuX j3J8KE5DzWS/HCGVZsgfJZnJZnlukxazToPdlA1q4ViELl+YTW39dEWTfHzV2XOtJFv4CtMK4ik/ w5E9FBqbieJlJN2NJt4rOydnlGq06vyx8SDpJ6eUS5y0NEitVGDQONHqnMSi7cg1i9iTpXhrF5BK J2U1ASHZjZlBlNp5BFLZklQic0ZVUTwhCw6dATEtynJ5g/Fh/CH4w04vb5tXzEdW1NEf9XFf6y7e Xz/9hb/EXU2ZeZRHOg7I2vrFRjtqRYrFrvJJAcxtdPBS527yDGYseiuP9G7h5qo6SoxWjoTCrK9o Qn8Wsjm5IM3ykYjLpFalEEel+es4Dv2z4l8uYG0+NsDiMieWs8xIzgYSLSHXdE06neLHv3+O9ecv YFHDVEvw3u4hRsNxivKnlihStnbt2mYOdgXoGxikpGici/PnPZ0MB+OU2fTYHWb2tHopzrPRXJWH JxTl97uOUeU0sX7BHKLxML/aeohPXtg8xRX6TKBX2nDpmvCLg+Tp67FmKmSJYYlBnlEoERK98piR KCZRKpyy0oDUsE+JUbzCMdz6OjKKDCRHIbmBtO5WYkkPofQwhrQZjboYhdJFPNFCXGHEaZiHSAQz BgStirZwB0a1DqfGTY2pEkEL+avdDIUD8v4VG53yyFIynUA7jd65BInWUGVxsCK/EjIKNvQcICLG JgUsi0ZHhcXOueWLZT2tkHiUzf1teMIj3D73XPSn0B6mQ9DXhtU5Z8aFkLA4THHBKhIxH0FFH3n6 WlS6fxbW1F8fb9qAtb/DQ3m+7WRWcQI7WgdZXjn9dP7ISIAH9vTykYslre2/wixKBowKqYyb+l6t XQO4rWqWNNUSjUVRqYzc/8TzvLCzlXMai9i2/zhfvOvWafdjbm0Nn741wed/8ii3rVvC6mXN7Ozx cWzYx8cuWTxOhagenxHb0zPIpXMcNJadyMos3KbX8tixA1RaHcwvLsN4NrNhCgVGXT6h8IAsPSLN tmklrvXYruv10/SF1E4UiQFGIkdlCqY/vZuUqYx4pF12o3ZRJisHnEBYjOJQF6FRmdCM0R2NRigx nnJO9ZJXYprjo9mxJQlRMYVymp+8ROcICXEO+Hpx68wYxugDI4kI7lP2XS85aCdjKMeMTC8un8v/ te7Cr3CwqaObMpOF8rwCLFodqmnGVjLplCwbY81kpnXETiRGSQsxjI4CjIYCor5uukLbUAwnKbAu xGApkPlY/0r4pwtYuw5301iZj9E4c2qs02n43KO7+OkdqyY9LnGVpHkxvS53NuF22zBqB/GEEhRY 9SSTAr2BONV5p6nZlErLRg8nCZwKiAipKSVhIBjgy794CqfFwHd+/YScbcVFBY1lNu7/6gfYtOMQ z+/q4YVd+4gmA9RVlaPXTyX+LWqay48+W8XHfvYkrx73sqq5nrsvmp+Tt9XpGaTH6+fC+skuOeUO F2V2J52+EXb0dMgigHX5hVNcjE8HGbVSzpTO5JUmbQFqlRFDJo+Q2IY2VoY2FZdF5RSaye+UTEfR KE+PALl3YITYhMnxJS4Xvz68n2uqq8g3Tu5ldUe8DER91NvycY3Zh6XGtL+kYHbiC/UEB2nx9dHg GlcB7RrtxaBMs9Ztpbmokf5QgE6vh9FkUg5aCwqK5VGo7AHK4I93EZHUPXXuaYOVRPQcGNlBYcE5 Jx8zOsupSpfKqgmBkaOIiTDWvNPX438z4J8uYB0eibCp5QB3XjQfg1Ytb7nOeX2xg2A8iTcYxWUd /4FfsrCCP+7v493n1sp6VLlwTnUee4/1ctmyOXIA+t7zR/j2tYswGWYvmY71+RiKJFnbOC7vYjLq iSeSsghaOp29gO57cjMlLhOfunMdToeLpJjiWHs7r+5t5dx3fp1vf/QGHvve3Rxpa+eJl49w/Pcv 8r1P3IY9h0SyZG9f0VDMu5ZUUVqYm2eTzqT59gsH+dwlC9DmCGZSFlflyiNPb2DXUB9ldpesUHq6 WlxZc/cUiXSESGIIi/4MbOkVStmzMJM2E4+P4LLUEUj20hncTLFpMTpV9jv7I+2oUln3nRn3JJPh 3t17ENICXf4Qvrgfp95Os7uOaLSblzq6uLFpPGBJdIYdw31cVVaPYYJiRERIoMQgK60yJiXz35u6 +PaVi9BMKCu7EmkqjEbCaNGo1VQ4XPIm4ehAHw8d2Uet1U5tvoWEYgh1NClLEU8/NJwhEOnEpalA f8pIlEI6J1oLDlcj/Z4tmDPVchCUjmF2FfFvMaH+xsEbLmAdOdZDeXk+JkPuPoNJSKB3GHm1dRCf xHMy6Lh6QSnGHMHkpsXl7OgYYt3C8aZ0jcvEayoFP990jNWVNhZUTV3Jyjdq2Dwa5zJJ4sOgY22V U1ZCqJsmYIWjCVlTSdoHSdNq59YD/NY/jNti4vJ5cxCCQb74s+1U5evkACim0mza3Y7Z6uKXT7yK RpUmmVJSmF/I8oXzuOHi5Xz/d88z7B3mbRefS1PdHLbvP8b2Q11ctjK3Drs/msBqNk97Ab90tJ1F xRbK3DNLiKjUaox6I8eGB/FHwpxTOQfjafS2pCAVTfuxKQvlubezgXTBpZTZgG7TlmLCgVqVLfti SR8xZZRCw+w69IOxILUFJtaU1vPwgQ56QsNywJIyxkgcRkLjz5X29ZneQ6wuKJkUrCS0e4Nkghl6 RpPUuo1y0NcopVITxoQ3iYtxRkbbWFK1mEc7jtJcUI1xQg+roaiE2vxCjvmHeaazlTK9CYfWRZ1O iU/sRRBM5J0i6yIpMUjET0tB87TfUa0z4yhcwOjoMdJiAmxmFNIaRkaBVu9AKaSIKIKYJIt6FRhV 7tdFi3ij4A0XsDyJFPpAjKppAlZYo2dxkZX5tdkM5rWDXbzz/q2sbCjGYdSyvj4Ply2bUa1fWs1X 7nmCCxpKTpaAkvLB7atrOd7Rz0d/vpE7Lijh+nUXTPqMoz0eFjjHL9L5pQ5CsekJgJ19I+weiXPH yhqMOjV3XCA1Y+HPhzp54JVtpIIjfPmD12GeUMZ6/L/hY++4kv958Em+9rF3T7kvfuOjt/OzP/yZ L/zkUb78obdjNFpo6WrJ+fn3/nEjbk0aq9kx5f8CIR8vHNxPf9zEh9YsYzYYdHrZhUfCc4f2Ik4T fNJS81ytJS3GCUkmDmKAfFMT0ZRPVqi0GnJbYs0EKZNRTmDOq8ckXcREkOF0O8XaebNmVxK8iQBz 3Vn+U4owAwETC8cWYdfVVfDzbT6ePtLNlY3lhMSY3KwvNk4l5i4uKsQfjdIyHKTWbZf5W1c2lvGz rS2UO9Rc3ljFb9v2EEvreeD4XtblF7K1ey9rq5ZM4npJfaxSi41AxMSKskUc7u/hsRE/JrUZn3iI d6BAYxtfJR4NtmKzTV2EORUWSUzRWThJ511affXFOghqAlSwAK/YIZvdKtT//MHqDRmwIlK2Mk2p JuHo8UHWlI2XRcvnVfBAfQldniBRIc1zLR6GvEGuXlJFVZ6FJQ3F/N9ftnD7+vGg1DUc5NlWL++5 fhVdLcf40YMbEJIJtDoD77/+Ug4cPMLbLh33eHtibw/vv2DcDqt3YACtVk++Kxsg5tWWsGe4lT/v 6+byhdkLVfoGlzaU8OtXR2gLJFCfwmkwGo14hrq5/rLz+eR3H+Q/3ncNTtvkDOkDN13Ojx76M3tb urGZDKgkMmUOuBwW1jVO7mUc7POwt6ubZEZDdX4dV1a4UJ6BCUVnfx9qi1XuweQKLN5EO6TUKNIZ TGo3Fk2x3AA2qlygyzAUPUC+oWnWu3pCCBAWPSgyCjKKrMnrRKTEGAPpVgo1DahVuSYGMgSSESJi muF4gJAQlsXqnLqxm1bDHD7//Cv4YlGOeyNUOIwkyNA+6uG1bg0Ou4oKc+4FAX8syYN7uvnuleN9 pDXVxfLChlln5D0Pv8b/XreQPIONsJDgsH+QtE7NPl8fZSarxNigNeiViavxaIx5+ZVy6d1UUk6R xYaoVBIM96M2jZd9kVCfPMSs182uA59JpyYFcEkhFEklVHQjxGKkdQIWScrmdUpKv5HwhgtY+zuH OX+CasGpsORgIUsN7tqS7AleWOnGF47znaf2oNKoMei0/PiXL/GyB25eVoVWqWRLp5frl1RQWWhH sTRbLqZSIi+9tp/P/89DNFXaUSkyhENRdu9t54WNe7mm0Y3DnO3L7D10BLOz8mTAknD9kkq+//w+ HtzfwVfWzacqzynPp71r9WJ+3OuZEoTfuX4F//6TP3P/l+7k2gsiPLvtKLdctnTKd6sql1aCFOQ5 zOw4NoTy2W1ct3aRHDBPIK5RotaOn0pfOMLWtg5uXdmMUSP1+M68rzFCigKdftJrJXE/qTHfEehl aVkRdt14n+4EpAAlre5FxbCcfalmUQiQ5hS1aqvcAZNWF7OrheOIZgLYlUVocxhVxFIxXvO00xFO UGtzUW02UW8rnCR7bNYY+MqFa3jiSAcNeTYumVPFxvZefrbtOC8cizCnUIVTbyQp9LB+bilLS8db BNu6B7nrnErshsmB8u5zG/jSc4f4xrp5crDKfo6O5XkVctm439fH9uF+YmKSJkc+S92VeKMBOob7 qLBmg4fTmn2dELWSDHnROQrlrNXnP0JJyQWnlUkOxQ9j1RZjPMU6LBzqIZ7x0hf3o0pDefHFvFnw dwlYAV+QB148yIffPnnFbiIkiZM/PL+P8xdVYTZNvwJ4SWMhW/pDlFdmpr0QnWY937hlJaOjIXyR JHnvWILdrCUgpEmJAv92cROGU0ZlJK2oi1Y2kxSS/HHTPva2PYXb6sTusPPV21bx1ObdHGlrRWuw s2HHIG8710I6XXkyazHoNNSW5LEgL8Gzuw7wgXVr5Mf9wTDxhORHp+ZQawe1laXyilFleCkoRQAA IABJREFUaSk3rm3gsRe2c/UFy9nzyNNsP2CjsbKQ53e1EY6HsJvthGMp2S3YbDTwrY/czO+f2cJv ntrCLZefQ0qpZvPRNrb0xukZ3YHVoCWTUdDqh+FQhE7/VmrcVtnp5rbl89CdgSW9JKlsNJnl/pd0 nKXzs62nA6vOwPKCWqzTeAJKZFCJ6JmJRxGMki3Y7JDeXzZzUKllCRQh4kVjyl6E0YQHt7GedFok lYqTUmcYCvsxqhQcDfipthaxpmhmEwmLTsuN86sIC3FsOh1vm1tDTAzTO5oimhC5aX6JrMD6aqeP ff2HuKCmmCqnnR5/lHOrJgv4Sejxh9nVF+ALF08l3Eql4CJXGQuc6bHvlf2Nuow2unUhnj3ewqWV c066LFu1JfhSPSg9PaDTYjWWn6RLzAa7ooiQZFyRTpOSfBqVCuLDPWisTqpszfLjI6MH8IzsJs+1 6K0e1unilTYPbZEUW1sHWVk7WWzM5/Gxtz/Axv1d7O4LsGw0Tlc0TXg0K7eSjCVoKrJxwZJsTb+0 rojWriGiSRHTLHIqDocFhwPKrzmfL/zkYb588TI0s5D6Lj9/BXXlFdz6hYdYv9rCXW9fLjst19aW EAhHSQoi1yvjbNrTwgNPv8p3P3kHBW4nnR4P29qO8/E1Deza+RLPb9uPSafknkdfxOVwcO0n7+Ed l9TTUD2ePS5d0Mh7vnQfV527gHddt47fbniZH/1hM4UFVj5208V0DQ5zqGOE8xZmyYWSuYRU2u45 cpwb//3XLDp/PlfNL2FRgZb1C5pwW20kBIFAXCQRD9AaULKizMr+ngE+/9SrLC51sb6pGot5dorG PFcehwb7OTQ8yNvq53E8GJAvvnmFxTNmbHFxlHh0BK1aTzTuQW88M21KaTYvLQryvyWz1IQ6gVfo QBQiaPR2NFHwBQMMpQVWly7NqWCQCzqVVt5OQEyoec+yen676wildklFVMNNC534ojF+sb2Nq5vi bO4YpNpl4KI5kzP+13q81LvVRJIJdNP8nibPK0oy1UqaC0r5xe6txApL5ZaABIu9ElO6hMhQG/7k CPmueWdkgBpUDaKOiRitJcQDA9iK5smls1yKq5S4nQsZ8u6UOV16/el7Iv5LZ1jLawupMCjY3T3M xt3tnKDWxNJg1KhoaKzkQxc08PWn9vCB82oZ8oXQFYxlWQoD7YEk//n7LaxfVkMgkmRIUPDzZ/dz /ep6ypymWUsejUbDnPIS9h3rZmnT5Gbmtv2dWE165tYUnjQ53fDSYX7+6bfzyv6D/PKxjdx59QU4 rCZ5k1BXUcTF566UV/G+/7uNfPED1/L0gVb+7bx5lOTl8dl3X8u3fr2B/mEvv/7q3fgDPhKJJAX5 k4N1nt3MY9+5C5MpG0A+dNNlrFney9fvf47SfIe8rV4wuTclZVuDosA1VzTzrguXolFr0epHuHfL IT5xyXL0Wq28YTVSPrb4tLK2mqVVpTx/pIPvv7iP9503nyL7zAO++TaHvG1ub6Hf76fb72V5ftG0 xzqaHCEc65PlTsyWUnQKEwGxn6HQfvRqK1qtHW1GNxZgFNmxHEn3QSmpcmbVCKQVuxQift0o5gSy RItNUYRO1KA3j/UQ1bDYBM937ccX8eI2n53tWDqZxKjOarGf0AKT4DQauHNpJY8f7Oaj59azqcPL UOgY6+dWEoyLHBoaoi8Q4caFZfx+by8fWjXe25wJUqba7/fJ58sXDaPX6WQdMglKpQa10oBWaTyt UlBCMhlkJN1JpXYJaZtEzYiid5TIGlkSaVeMBQnF+7CYy1FZHUQig/LnaLX/KHHjf6KAJfVfpG22 e8ftF85nY2+Y286Z7OrbKDU7FydpGQxg0Km5eXUdiaTI47u6uGN1LQ7T7Mvu116wmM/96CHmlDqx 28Z7T+FAhEf/so8v3nWJLKT32KbDVJc4mddYRmNdMVv3HuL7v/kjn3jn1eh1k0vVPFceSxrL+fyP HqI/FuPAa0e55aIlrFm+iNuuWM7L+7rl59ltuRuoOp1e3iaiqaoUu0XH9kNtnNM0PrYhiAL7jrTy 4yf3sHhxBR9et0IuYyU0lzrZ2GLm6OAI8yf0YCZCulAun1+PzWSjb2Rw1oB1AhU2O7u9HmKiiHoG BrzU2NWqJOusJFqFdBNRYdeUEcOML3kcZWQEQZPGkJIyC4UshKfQGlAJSpRpBcp0tv8V0PsQUlHM OCjSzJUvwFyaKEvzK+kJ9J11wLKbjMSEFLc3z5mSDRVaLHxwZdaReklpETt6hvjvzccYCEVolqgh NhNFViN/GDP/mAmS0YUnPMRgOExK1HDVnHq2d7bTGh5gRV4hWpUFld44aXV0NvhHW+RZSoVKweDI TjR6KzqliWgmTlwvyHLMnvhRjBoXw6GDpFSQUIYJxIZxR8vI2MxYRBvKf8K5xDdU031FYymHnj9I vy9MsXPyipnFoGVJ1eQBYYdFzwyWfZPgctj42r9dxzd+tYFvfvT2k5nCxec14XKY+Y8fbeBrH7uG TCiCMl/i/yjl7YLli7Aatfz60b9wxdpVlBY4UE24C169ZhH1xXrmzV0g//2dex9BTCvZ8PJ+Llyx gO5BH+WFZ+b8++NP3Mqnf/wkyxqrCUejdA8M89Tm/YTjIv9x+yoefPpVYsISzGM/culCv6rWyO6B MPNn4GsG4wm2trbxvvOnNvenQ6nDxc6hfpa5pOmCmWfYJLa6+hQtYI1Sjz5twmmtxxM9iN1QJY/V 5EIsGUYV97K9P0N5pTkbrKaBRWdgMDzKPCnwTVMWSuYPvmiE4rEG90TYjXqOdLexunF2XldDvp1H Dx7nqsZSDJoMOlWae7a1ywHvlY4+OcDt6B1mS+eAnKFJQdBp1JFRxHltpBujZMKqUOIwacg3W1k/ bzFJbz9DYgdCPIYOFwoxJGtYCUJYNkNVZVRytiUtREg3AZm8ms4QCfUiJEIUFK+Qs6i4IYTZNC5h M9K/gyHFPoqszWhNzkkUlFD/IXzKLtyxMhR5Uykw/5IBK+gP4Y0kqSo5u3r5wgXlcub04Uuyd7iZ 4PGFJiljSojEEvz+mb3EIzFWNdeweG7ZJIKnRpoRO2V+a/G8CoZ8Yb756xd57tUjfPNj60mJKdk5 Rv7/pkYyaS1PPv8Ki+bWcf6S8WarRqM9GawkvPf6y/jIdx+mXFqBVCr59E8f5eefuhlbjr7RH59/ masvPi/ndwtFQnz13j+jROTFXW1ctHQON160iDmVVVx2fpz/uv8pvnfXjSefX1VYzuMHdyKmqlCf creWiAIH+0f41dZj3LWqDusZaGe1DA1QYrVRU3B2elcHhjqpcznk/pdLNwdv5BgWXUl2qf2U8vK1 vsPUu0o5v6CY4/4hmvKnF3BSKTWYjHl4gv0U2HKz+4dCcR7a285n104lYBbbbWxtHWEm0ZaYkGRj 2zCD4SjXzC1nZcV4YGguLWEkHOWF9gGebfVQYTPx1XXNMgF4S+cgoiKO1hBmZVE9br2FiBCnw9tx 8vVaVzFlZFdZE7FR4qpBBrV9RPxbMBoL0cQzGBQ2QoIHTUqFaNaQCAzics7D7siKPaoNVsyn+Ne4 i5fhiEfkrG2SEYXUt1OkKHYsRTPNgsm/VMBKJAX8gSjPHezlmWMelpQ5KDOpmevUU1xTKqsLGDSq GbXJJVTlWwlGE/QNB8l3mBAzknW3NJ+XkS2xNg9EGBrMygm3+qJ8foPE91HLvaehQIRgSsF7FxRQ 5TLzg4e3suGlg1y0sEz+3B88votkOMoNH72X+XPLmVNgpbmuiPySPArsRg4d6ZaZzC+8tJ9itwXP gJd7ntwpzwAmhDTD/ig7jkSYX1shzyRKj0tN/Il9HYfNitHs4JO3rsFqdzEaCvHYpiPcdukilErV mE56Fg/9ZSc/feQFFtRVcMeV51BbUyuXut293Xi8AutX2CgqrODjt67lkb9s557HNvPtj5bgNGrw 9ngmHTe9Vofb7mIgEKLMOX73TIgpWkdGeOpoP5+6pIli65m53+iVSsKK3B6Gs6Fz1Et3UGRxcbZ3 JzWDC6yLGIzuR4iJWA2Fk943JAiYNXoMOhvHhl+lIa9KblZPB4Nay2gsSME01W2pzcjiYjv/8cxO Prd2PmbdeG1p14r0BaLT9pt80Tg/fXk3l88rocJhprFgsgS1NCBe7rDxrqU2+Rj/asdBzNKws1LF NU1TVxZNGj3zCqXmxlToDHaC0W4UYooS8xJ0OgeRRDcRbQSXthbNGCF4ICPJ56SnrCLK/cBMJtsf lEQW9bkzWEfR+I31XzZgiWKKl/Z10jE4Kq/KLSh3cU1zOcm4QH9MlGkFrQe6iQYjCCoNTqcFu0Ej S7yYpqEv3LK4lK/85TCrq9xYNUoy6QxKnQajVs26KgfaOdlUV+LafOX5o1y1oAC304J+LCDqx+R2 v/uZ6zjY0s/AcAAhnuZbH76MsrI8hKRA/5CfwdEIrYMBntnexsPP72fN/DJuWb+MB5/azse++Qfu unEN3/joVfJBkvpbJpOOHftauOD9P+S96+cjCnFZxE6STzFoVTIfTErejnQM8NMnX0ZvMGHQGnlm +0EyYox4LM6C2hKWz5/DrsMdNFQUYLPWYTI72HVskJ89sZOe/gHOX1TB/3zyWoonpO13XHsRC+pa +PA3H+CaNQu5+dIlU47b6qo8Ht/fxRWNSarz3HKwf3BPCwaNkk+umY/2LPTXTTo9R32Tg+PEC7vV M0hNXsEUccJYMkmLZ5DLa6ZKP+frG3mx6yjNTgMO23gADQoCBq3kCKNAo529x1ZssvNqXz9FtiC2 CYaiJyDt02X11eSZrfxudxvvH+tLnfjtxFNKekaGKHa6UI0FAUk5dFdnD4/v7yDPYWdRSYVsRDsT dGoVcwscbO89wKryyYPlp4OAr5WISlJucMvNcclC3uyswpxJI0Sz8jgS8tTVeKJHZI0xiV6TFpKy R2EwPoBKocZuKEdr+Ocs9f5uAatl0M+oL8j7rjylL2KDXEXhH1/ax2NH49yz8bDEcMNmNmAxSidA R15pAZJy1LaWAewmPTcsrUCvnZmGcG5DCT4hQ4PklJwD8+qK5W0iNFoNFWV58haNJ3l04yG2DYQp Kory7nInG20Z3HlWNu3Zh0IZZ8eh43zm3VfLF9LyRfU0lOq54aLFFBZmG0b9fR0IwrhN1faj/axd NpcVTfV87f4NfOTG1axtnksyGefeR5/nk997kJryYh785t2T9utPr/w3H77hfL523wvcee1ksp/U p1rc1MDaZV4Ghr1cde7Uu3VTkQtVKsJvdvZwQU2MbX3DzC92sr6xZkqJeLr5UigWo9SZmymdymQY iUWozXFBR0WBEoMR7YmhuwmQVqtUKhP+lMjEy8uhk2Ytk2iUGgSJ+T5BJSEXCkw2ziusoNU/xNIc AesEFhQ5ODowxBc2bGVVpYPLmup56lAPyVSGn2/toHVwG0adljyznmgiRl2+ky+uP49fbJ9MYp0J a6rL+enBHop83VQ5T38sydOzBYXBRIV9Nf1DWxlV9aEPOfCFjqG02AiFerBmKsn4fOTbF8pW852+ V8gEs9QPU8qCy9mE1jh9nzQU7CKpiuMy5fYNeNMGrFAogkGvQ61RIwoivd4QL+zr4vpVp38gLlpa R8ufd/PJ65fiNOlIROPEk4JcCiXS0DESokOdYVVtPr/a3EKhVS+Pu0jEzFxoMinYP5pgekrqVPR7 Ary6q51kIknvUIA1y+cw7A+zckE5O9s9uAry+Pg7L+dwWydfv+957rxsnjxobRprOvcMerHbx38g xSWTFT+vvSDNf/70Kc5vbkOtUcnBSoLETv/gLVfx3usvnVQKSezoxzfu5cIltVxy3kqWLWjkW/f9 iSVN9VyxuhGjYbwfsf68eXztvhdp6eihvHTqREBDaTnv0Zr5+sObEJVa/v2i8fnBSCzKI7uOEE2B KpnizjWLshSIGTCaFjEkp5Zlff5R2nzDNLqzTPxTIQXFrDhLbqwoKOGVrnbKrHZZRz6aCBMSRFSq bPk51+HmhY6dXFYzPhYzEYFYgG39xxiJeLmp6aIZv4NaqeLWpU0M+Tzs6Rvlvld3MxBO85X1K9Co 1ERiQRIpJZ5wglKrGrPRRkwQCScERqNx3KaZTURO4H0Nzbzae5BCSwEGzewk3RHvPrRmN3ZHHUJg hJRNS536ErzxNrRpPRZtOYXOBpKJAGlHPkGFF0faRE3+JfSNbCXPMhetbmomGo95GR7ahd6SL2vw h9VBinVnnvn90wesH23YiyelxJJKMBiIsLS+VFZKKHKcvgKiyWzgmvPmsadzmCuXz0FvMkjJ2En0 xnu5cWkFixvLZWWDF4/0c9cD27moNo8VVS7qyybf7RurCvj9wX2wbGrfIBf6Bkb51A+f5v9ds5jy ykoK8+0EQ1Huf3QLH7zuHMwWI795MsBoKMrq5ib+x23lq7/cwFUXrpRfv33fYS5ZPmcKHeEEvKMB 9h48xH3/+W6+eM9TfOfuK6c8R2rUT8R9jz1H99Aon3//9fLfdpud/7zr7ezYd5CPfvu3fOGu6ygt zK6QHmk5zMIqC2tW5L6QJZS6Hfz3e67g2w/+ib2tXbT1jqAzanjoiIfvXr2YQoeDr//mT4ipcdmU 6SARKtU5BqCPjo6wurxqWnVNaQWzPRJiuq6JxEPSGY1E02m5bdwRGKTB7kY1JpxXYCmkq33ftPv1 l859nF/awKbuIAkhgnoCKXQ6FDjzucyRR0wQ+M2rO4kJadn53mSwylKAzglqF5JEslkncvvvtrGu 2oRWa2KBW8OcIjeFE25WE6FWG7DpTLJM82yIDrRJ8qbYbVkfxJjox6h1oNIasCkriKtHMeqy59ww 1pMyTXi9QWGV7oA53zsc6KCweBVKtY6RaAuOhFvet3+5gLW40ER7JMUym4In+lIU6FWy4N2ZQiLs ZcITND4mIJVI4h7TN5eUFS6eVypvO9uG+EuLhw5/nHUT1u6l5zi0SjzBGPnW6U9K78Aom3a0yhnV Nz98GeVl2c+Qyo7Hn9/PPZ+/QQ5WEuZUlNFyvIPqkjyqy8v4f7dcyv/+7hluunw15yycK2+nIhSJ 8uKOQ7R19nLekiaK8hwsaSyjtaOHZYunHz71eEdlCsTD3/3oJMcao17HmnOWUFNRzhd/voHSEgtu u5NChwVPIE5SFGVCbC6olApZnucjN17GvU9tQhAV7Ogf5nefvAXDmLCgxWCktW+ExXNmLl8cUuCJ hqiVm7oKwvE4LZ4BrBrtjFLAUkAqc7ho6e+lrjg318Ig9SYzGYSUQHfIzyUVTZNK4BpnCQOBPops JcTFBN2hUfpGO2Uaw3x3GQWWfC6rauawb5BlxafXu5Gyt9aRMFGVcVJmKJef0g0nEmXL8V5+ubOf cyvtGDMh1tWWklbqOB6K8mJ3B4tEkXKbHVOOclcKK5GwF5NjerecWNTDiHaAIt3Ck8V5OD2MO1EN BonhnyQlacXMAI3aSEKaKDBNXiGNRodkwUFJ+13S25fGnHQnDGjfBDitgCWJzt2/+SihgVHec91q iIUJmI5TaLTx1Ue2Mb8yn+YCE3OqilDP0nOSIClyGmy5ew7dIyGW1U1dQl86p4B5FW7uffEwX+ry 8e5l5ZQVZBu2Vy0sZ2vLINeMDTJPRDgc4ycPb6Gtx8sHblzFNRcvxDxBz10QUsSjcerrxn9gtaUu vn3fFtadt1z+e2FDtdxr+8q9z3LFyjlcd/HUAvSXjzxLeUkBt62/kDyHRc7QQhGB5gXTr8wcam3n uw+8wA8/+255/CcXCl02oskUn779SgZ9QT7w7T/wziua+fiPHuHnn7mDmeCwGLjzinNpftf/8srP 3ot+wgrtn/a0M6TR8Kvdx7m1uYKVc6YeOwlFLjeeuKR04KHU7uKlzlaWF5XitMx+o5IImTq1Ymb2 d9iHTa+nyGCclAUkhCh9wWG6Qn7WJoPs9HpZmFfK8tL58mqYYYz0aNRZEYT2kzOPp4P/uv9pfvWR G2VjjoQo8IvXjnDcm10xFONJrp+Xz9cvrefJA10k02qqCkvRaQ00ZjJEhCS94RAvd7ZzYUU12lPm My0aA55BD/nTBCyJMBuK9FJiX3bSUCKTEkhkomis2ZuoVmMi4O8Ew2QCtQQhHiThG0BndTMcPoxC clIyqknrVLKyRSIwREHhcjlYJeKjEEugycttcPKmC1jSj+C4J8j2Pa0U2My869a12f/QOxF7OlhY X8rcqgIOtQ+wwxPjDzu34jZoyXeaKbYbqa4oyFku+odH5SZ7LkTjgrwamAvSKuCHL53Pn/d2sbF9 hDvHAlaF28yjuzq5XBDHpYnHelVPPrubedUFfPrdufscEjdLPKXiyXO78UdShMMhzGZLVo2zrJif //ttPLjhJZ7a+Cprli/Gah7vLdlsNhprKilwZS/kl7dtZcWCmmk1vZPJBM+8vIuP33YpZYXTc9Yk Lld5gYOdB49TX11KTalbbub3jyT43kN/4bxF9RQ6zQhiikqp6T6B1Crtd77DwsdvbmbEH6OyMHtB i6kUC0ocfOWa1QiiyO93HOLo4A7yzAZGw2FcNierqosx6nQEonEcJifb+9p4uvs4CxxudGot+wd6 SKbTiIKATaUholKiSacxarTUF2RHePoDPprrxrOmWDIhD+QmMxkGggGGhSTtQx7KLGb64wnyIwEK jWY5IOk0RhZbtfQlVewLxFhfvVh2yTkVe/v3UWydOjIkSU4HEiEcY67I8mOZDPc/8ypNLpNM7JSw ua2flWX5/NuqQhLJOLoJKhibuqK8a5lZDlYnjqdEXai3a6QTyBPHDrGssASrwYjDaJIH4cssNjZ2 tuNpPUKFySIvWOj0JwKTiD/Qgk5tORmsXjt8gFK7Bos27+RAtEIhyfZMLcMzKZFh/wE0RisB/0Ey OjX9hh7yNbWoMkrSyZQsTSMNiktdRGlMCovp5Pu+6QPWQ8/tIaZQs7a5lvJTmOcmhUq+6KSB3EVz K8i29OoJByN4Eyn8kThPvriPd165TOYsTcTxoQDVNVPLhFgoQjCtIJJMYZ8hU5tf6uSbzx1Bo2zn qoVlskrBvHIX+7q9LKspkAPtg0/v4kBLP3dc0czc+unT8+FBL4VjgW8i3n5BI4+/uId3rD//5GNS 8LnlyvN5eecBvv/AM9x90xpZ3tjrG6FvJIJ5giJpUFCQ9vun/dzf/nEjRYUlzK2Z2TpcGr+56/rV 3Pz537FkbhHvufI8ygqcfPSmNXQN+tl68BhPvTKCy2qgc9DPZ26/hCKXg0A4zK+e3sZ7rlpNZaGN iDS4OYatB1uoLslSEVRaLe9cvRhPMEQipZBtrQ4PjvL9F3ahUmupdlkw65WMpFNokkqsag1PHz/K qqIyXGaLRL5GIINOoSClgGNDAzx29AAmScp3jEYRDIXYMdQrKz5IGUkgI+DICFxYLmlcKYmKSeam RY6OdOKLmJmXn13VHBK1pCQD1JRIXAhPCVhSFrbXH+IdBZNLnt7AIB0BD2YVOErGz600q9jpGeIz t6+T/x4N+dnW3s/da7O/3onBSoJbl2Rh4VR5HCkANBQWU2S1sbWrXdbaOn9OI/l6PVqdjosXLuWF YwfxptMcDQVY7srHabcwFNiHGScW+3jmZMxk2BkY5tKq8UxcYri7HFOJ035/qzxuY7c3kLGmEYQQ KWVKtknLvlkZmpAFr+8Q+QVL5LJRUIukJcOMsaD7pgxYbd0efrXxEOfW5HHrebknAPV6HZK+/6lV vNlqkg1mK/Ks9AwHZRLoqQFL4rqQnlyjxxMCP3juEOsai7CbZ2Zil7ot3L26in5fhO/86QDvOKeS xjwT97zSxpLqfDq6hxka8PKtj1896wGQBAELcowprFuzmk989wFuvSI1KUuSiKIXrmimKM/JB7/5 B1lTa39bHw1zyjEZjfLMn/Sct198Ll/+1dP85NFN/N833o/dMs50H/YFaOvu5xsfv3zW/ZMUIn72 xMv88BNX8djGPVQUWNCMlXY1JW55O4FwVFrF1Z/MJo51D/GRH/yBg8d9PPSlm+XHpWD+wLO7efsF k0vVfOv4/klzhhc1VJ48V1vaPLR3pnn/6mosJiOlFiu7B3o5z2zFdgprvjG/iEKThc29nWTSaTb2 dBCKRbmopAKzKXvTiydDbGjfKZNdJVilTEDS0i+dx7b+dl44/hoXVi0lJApcVFqF1TR1XjAhJnix t5WryqrRaoyMxkMc8HQRiI8SFFLEYgqMopmGPInblX3/3mEfsUSa//rNo9x9w3oe39fGO8+pwW40 MOgP8Piu/bzvgpXypEBcSLK3P8z+Pi/v1TqpyvEbsRlNrGtcgDcYyH5PIcm1cxpxmi3YUcqru8v0 Bl5uP0x5hcA82yKZY3UCoUCAfbEIC4sl3TH9pP6dxO+biGRslFDKQ4GmblzbPccKodVSgVKrI9hz AEvJXDKCiNL25ghW0was7sFRFlS4uWKaYCVBkxRk8f6ZUOI08/Le47x97eSLI6HV86d93bzYNkyB WctNK2t5avNBVlc4aG6cOeM4gfryPHlbMKeQg10jdA4H6fRF+dGDm1ElktxwVbb/NBNCgTC/eGo3 v/3GO6b838ZtuznW45cpDJUlUy8Yqfz7w7c+xJH2bnYfPc69G3Zz7xObUaai3Pm2i3HZzNx1zTIu fP6wHHDuuvY8HGNB64XtB7jpismyzNPhic37WdvcwIqmOuxGE//+w9/xo8+9C4N+6o/QPGHWT/qs n33qNlnf60Pf+z1mY/bWMuwPyGMtly6ffYZOwitHB2gfCctqGpLhh4QCu5NzNFq2HG+hqbQch0bH lv5ukgrkScJ8q521VbUc6O2iWqOjvKRiktqpXmtBozEzHB0lzzgeCKRScEVxDT/b+xzWwTZ88TD6 UwQApSzJE/Gxb7BV7ie1hNS0BQ+iTMcpsxaytEDSk9LK4onbOwb4xcu7uG1ZA7til8b8AAAgAElE QVQGA3ztnqf45nsuwml20O0P0VjsOqlx7zSb5FL4Fy/v4ZqFtRi0WkqtGt5/rpR9zdwbc1qsXFJd h06tZld3B6uMtSyub2RHdyejQT/nVOqw6MomBSv5fFnMrK8oZnusm6NH9nNxbSOReJwCq23KoHk4 PojbOhedfvZ+lEHtZER9gIT3AG7TDL6Hb5aAtXZZHV97ZOuML7S43PJK1UxYXFPI468dR7v5AJec 0yCPDexuH8SBiC8jyvOC929p50u/3URZiZu3L5pdx/pUuMx6VtUXo4jHCXZ7UMwv5u73XHJar5X4 ZEd6/dzyyfuwGjTced0KxHicrS2dmLVJvvyBK9h/tCVnwDqBxppyeXut1cPHb7+Yzp5ePveD35FU Wyl0mfjl567CZjLxqR8/zT2fuUmeddx+oI0rzpVWiGZfnNjd0sl/332D/HdDVQnvvOYC7n9qMx+4 QbLImB0ScbOxooruwRA6jYGHX9ghZxoDXh+FYzN+M0GhUmaVW0/pKzpNZi5qmMdjB3YxICR53/wl sh78pOdU6Xiq7QiiWs2cCeYXPf4+grEA4piD0ERIQetdc1fwl+4Wrq6aj1Y73oqQVhOfbt1CIp3h yqoFmA1OOkZa2ecd4LKaFXIJOnGUZ3VNKToV/OCVNuYW6fn1526g2pUdsTl13UxyB7pxaRPHeo+z 4cBx3rGiCatOKsk1J9VLpz1GCgX2Ma6cUqOVe3t6jZblFdU889omQlYzJQXVU0i30rHvSkUwqArw EeCxlkPkm8xERga4bs5ceU5WSKVk96I0ouyWM5NcckYe29GQioXlDKwwf/ab9psiYAWCUXncYCZI pzARCkKOSfiJ+PItq2QNrMdfayeTSiGKIg3VxSyal80QLm8q4mfDQS5oLEaZy8t9BkRiSV7r9NI+ MIrdbubrt63k+/dvhFtzDxSfCoNRT3OFg3u+dLNMj9i6vxu1zcr7rjufqpJ8mQX/yye30dzYS+k0 S/MnYDNrZCuvOZWVfPtjN+MNxqktH9e/2nF0gCc27WfDq/v52P9n7y3A6yzM9//PSY67JCfunjRN 26RKU2q0FCm2YWN8BxuMjTmD+RhzmG/MN2DIGE6xQl1Tt7i728lxP/lf75s2TdqklO91/f5fZDfX uUiaI++R9zmP3M99f3wF+ikl4mw4WtdCZqJ1WkkqmK7ur+vmpZ2nWLc4G927KCgI2LgilR89voPy uRlkJiVxV0Icf33rCJcvL2JJxoWfV3leAjten5kPFQp7MRlUhF3R+MNhYSI/DWqVihuK5rG/oxnJ eICs2InHcgT8XJO7FP0sDsYqhZElCdkc7a1mg36i/+jyuznZV0VZYiHJ+lj6XcMow0EyYnKIkps4 1tsgykHPi88Vg55AkvX63fSOjiKLirAuLwuL+t1Lo5ykdE721bDpeDUNg+4Jifn3sEapkckIRcL4 /WG21J6iILOAzNjpe4gCOro68MhkNI8GWJaUQNewnXVZ+Xg8HnEVaGdbE1atQGEZQ6FSkS0PEiWZ va870nmYsEJCXMISgtIA09mNH/KAJbDKZZEwf3vtMHdvnDlKC/2a0c4OUpLevYRbvWD2zMlqUHPT nDj2twyRKSgcXORoWtgP/Prr1dxcFMdnVk/wolq7hjEro3lh83E+vmF2i6QzqGvoRqZSYjo92Vu/ YnqjU3C5uWTBHE41dr1rwIoxxOILhsT+ndloxHxOH//z16/gnkeexGrWMCcn41zBiBmx51Q3l86b /rhCP/CBT6xj5/Eq7v3V8/z1gdtm3QI407N6cttB7r5uMcuLzvLHVi0s4NH9jVR0jfDV8pJZj6Wl fwz1LNSEluFWsiypLI+T83pHM9fkFE4TwxMgZAeXZuTyt5NvTwaskCRaFCK8EOK0Zga9bry+UVRK M60j7cRrLBy32XiqqZIiUyxXpk1QYwSddOFyuLuKEdcQGrmR779TiTTswqgY5/tXXVzGfYaKcdPC YvptI+xur+K9IuB04pPK2TPQS36MVVS5mOkz7XE6qY0EuSw9i263ixilit2tjaIMjVBe6uUKPG4X c7JyOdLcwKg8jqQLqKvGpC/FaWuhr30nxtgiRjWjSF1NmNSZFy0K+IENWAqlnJsWZ/GP/c0EgwJB 8fyrqZAwchF+dReDvKxEDvY1UdVtY26KedYTr7rbxrHGXpRKGb2uIH/42HzMU0xS9VolebnJ7D3U wOoluaLO1WwYHXPz/Dsn+fN3brjgsc3P1PPU5gaufJeWk9BE9/oKxR3K2fCLL3yc7/39de5/9EVy Uq1oVWo+tnIeilkmoukJesZcM5fdqxYU09xtw+Z0sfVIJ4M2j6hgmhhjQKWQ0Nw3RNdwP4HQOKOj MkKh6dmrVi7jvhV57G3u4bF9RzHpjCzJiCdxinNPn93Nvw+2cN/lM/e7qu1OrrZIUcpVLIyNFydm hdYEYmeQ0ilPymVn2zE0KiM2r4s80+xyNeOM02brxxmJxhbwE8HNkR47KSYpUkk0lyelMD8+97yJ oUKqpKKvlXG/httKM5mf8u7ifj02B0fbu7hm/vQvq2ePNXPXsnyRhPteIMxiu20jIuE2JTae5w7u JT8tQ1wiFxRGG/q6SYuJo83vIRwtQalSU6jWooyWUiSVieoYu/p7WJeWRaxxor+XlZyG9gLiiWeg M00kBq7wEFmyRaIK7NBoJVpVAiqV9UNBb5iV1hCXZMWg68XtcGM8nYFMhTpaytBgP+TOLJnxXlGW GcuJztHzApbb4aLH7uNIr4PoUFCURRaydKU0anJadgYWo4auUQ+XlWWydW8NN2+cfX1FOC0EkuqP /vkKpQVp3HLFWfrCVBRkpTE09AYer2faTt9UvLP/JAqJl/9sO8D9nzh/FecMBOec/lE/T3znZpGM +5/tB/nJk2/yw89ce951n916iN88V8GrP7991v7WtiOt/H3TcX7++Q0sn5tDU1c7J5o68QUilM5R Mz93Hgkmq3jdP7z2OuXFOdN4WsIe3eq8NAJZyaJpxRvHj3P3qrOvw+snqynPVqM+rX4xFaGQlzGv HdVpqkGaJQazUsWezlZStXrmpkxflSqIzSTLHOJwfwtD7hEaR7uZa82c9bl1j3VzS+58Xq4+wa6G aHGvL03jo2RuIpelnb+G9URtBeWJmazLLEURLbjmXFxWUdHYRGnm+cfRMWpHfxEl5HlQq9nX2ki+ 3sRLNSdZmJqBVipnxOUSm/Krsgtwe9xY0rOpsTWLcuFCyZ9zpmwcH0frGsMT8InGGAKE0vBioTNl cebaeqWByHiQwdGTyKVa0Xz1QxuwhJPrxKCdz8+y7qLQaIhIpQQDAWTvMdPy+Xz02G3YxmxERSIo lCpGguOcbO5jdbqRcFQ0e062MuANoSSCymyiMNnMvCTDrNmIACH1/u6dq/jkd/5NaV4CT7+0n84h JykxOpz+kDiiF8ik4XGobO4lNUnLbZeX0dZn44s/f0J0rJlfkM7Comw6+kZISzCLDPQN5fNp7Bxi Xt7M9mNv7jnGg3dfRWOfS8yevnLTWpJijQSCQdw+jzi+FxrSbx+o47MbSycVKD61YTkv7qzk4ac3 iwEnOyWGONNELTk8NsKmh+8gxqAVd/7OFeUTGiv5aRY+d90yVi6YyDYWFxWyeAbdQ3E4Mh41bcNt zCW48kx8tAXr+ji9loGAjj/tOCBalCVbYnH6gyzNm3mto3lsgPnWs4FDaCDrNVouy8qnor+bHS01 oo5UljltMkNuHOnE6bVxU/4SXmw6iVWtxyRXopBrGXCP0jjQgFplRiLV0mwfxi1RYdZaMakcfHNV LvkJ8Tx28DAv1Z7i8twCjMqzJ+AcowlZtAyVVEEw5OPEQDOlSRdeSant7aXbFeFa8/StizdP1YqT 0IqOXjItgr/ghbOs/pEhejwuqsZsxASCrM4ppH1ogPVZhcToJu57ql6I6rSkTptvhIggF8049WM9 4v8LjYKsX5QotfPedGrPR8jvxO7vZjwUZNhZT7zi4pVmP3ABq76rg3lpEaqbGrGmpWGJkorNv3Nv fKK3i0XpM/eoRsZsKCUSUbROOHmPDPbjdtoJ+v0UJiSRmZwq2l8JjfjYcdAukPJKVR8HOkZZlqDh i1csELMo4Y282N6WsA/4+Y0LCEhlXHK6d+YLhsWTUtCsEsrb3q5BnthSxQOfWiHqtM8rgqsuXYjd 5eUrjzyNZHwz2dkFjIyO8p07L6cgI5nuQZuQR5z3eP3DY4w4/Oh0JpZa4hgec/LV373A+sX5NHbZ kEiCZCSY+czGS3H73CwvOftaCaN+QUW0fySDiuoGHnlmm2gTPzTmF+9n27EeFLIolHIpxVnxfOGG lYw6RtEoNeKQ4LPXLuHnT+0hI1FHWvzsJZbw2kVL5KKuGKergl89u5sf3XXVlGORcFtpGve+eIRf 5qZQ21GHWm1BMcO+nEAt6HPZKE85Pzoq5HJWpWaKE72326snA1aXrZ0QEtZllonaU9dkz+e1xv0i xSJVo8Ue8IlaUhU9DZTEJRKbXkyyMVl8LKftOGMer8hvK0uMZyw4Rs1IH5ck5YhKF0OOXkZDUSSd 1rRy+CJsrnFQOjtfGK/fx98q6ilOjZ9W9rl8fva1D/Ljq8t5u6GX7285zI/Xz56pn2xuoLGvW8wK s80xFGblYjaakEskjPb2EJM3u+yNJ+Di7Z4a7IGQKEK5OmGCRiRMBqM9HpxR0ag1wnv93lWghodO 4os4iTEVo9DlfWj6WLMHrJFB7pw/j4axUQ7V14h9iQUp6dN0vRNSUmnqbCfPEovh9DeJgFAggNPn 5XBHK4FImKjT50lxYjJanRFz4jkGnKe3dKyFWgQlluuH7HzrxSNkNQ2yvjDhXUfv50Jv0uHwhzBO 6W9NRSAUprffNs1UQlBQiDHJefpn907+W1PnoMitumblApye863qQ6Egz79zgK9/cg3y01nm1cvn sW5RAT95cjNxZjVXLlsiWm81dQ+LEjVOjweVIgqnJ8Sow01H/4CoZNo9aGd1aS5Cz/rRF49x98Zi bl23gHiLVWRkn2zq4Vt/eQ2NUoY/6CcUnhAMFHpYX390KxaDHJNOgUknrLZIWDk/m7KC9MnGt1wW RZ9tlASTmV89u5XirOnrQMJtMmLMfHttAbtbhkjVKchWzTzFE4iNKYZ4trcd57LMhaKS6rkQsp0Y lZq+0RZUKjM7+7q4MXfRpFCeWqbCJFexMq2YU0PdFMYmopVrWJdxelii1k0+1qeWl/Hzdw5SlhGg NDMLX8DNpuYG2lUDRKIk7OpqJRxycnXWfPE2+5rauGHOhYcku5p6+OSCDKpHfTy09RTRURHW5yaz s6kLH9Fi6SzY0r9a04zL70WrmPiyDoWDBMJ+wkQx4HAwbBvl+mUr2VNXxaKcArHndrKmkkqPE4tU jrS7E7/HgyccQms2YdHr0csFLwIZRoUGjSTMAlMyYSQMO/uJ1yeSaomlemiA+l4bMokgQlgkknAj QT+BiPP0as/s5arL1UUk4CM56eKm5R+KgJVqsohTmrKMbOanZdLY3sreump84xHmxSWSlpLGUG8P i2PjqWptYnlJ6aQ78IG6KrHMW5KVi+k91N9n8Lu3T/Hta0p56nAbi1MMGE+rKMwGry/Ao8/sYXDY QUQi4WhDHz+68wJdcolg7/TuxyHs7WUkWth/vIr+YSc3rJ0+Md28v0pcpC7OnU7OEwxL1y3M4UdP 7EatUJGbqsfu9hKOwPM7Tokli9WkJy1eR0JMDPNyM0WTDYNWLZatP/nXURYWZovBSoDQEF+1QLhM ZDT+YGAy8/EFAjz4jzf51u3rRBqG4Crk8gb4w4v7aejq49ryEjQqNevLirn7kZfJitcRYzCw8ZKZ p6iXZKcSo5bzlTcaePKm2bODLGMcnc5hBr0O4jUzKyXkGKy82laDVT7ItVnzJheWp5pWeMLRLEo6 X/3iXORbDXSNCeJ6go2Zhiuz8ni1toFhp500rYkBXPgDThRynSjMFzdFyfRceH1uWgZHWFW+gNLM iVOgaXiUZ47XsSQpnm7n2ePMjU2gx2YnTmujxemibmwUbzhMvCIaV1jO2vxCMYMNKBW8UH2CIpOF +ORUAi1NJKakiY1upUZDnFzOgKOb7tEh3BEJC+OzxNfD6RzALdMSCPlJ0E0QSw0aLZec3go40deN 2+2m3WEj4OsjWSXFPu4hIeESceXG7xzGq/DhjLJhDscRDHpw+ftIsJyvSPthgNTu84prHMJFILMJ EL4vLQolm3vaiTVZxPQ2QyjhEpLEheD9na3s7enA7vFQGp+MKxSkd7CfGLOFYYfQiFVQllf4vz8o xtFJJXx8QRp/3tfKZ8tzxCXd/XW9ZMQbSbfqMWkU2J1eBkddvL71BAkxBu7/9Fp8Xj9NTd387c1T 7DjSzPe/dPWkTXwkHOE/bx7lnYp6fnXf+Ws7tXWd5OelTF5fKNluuaKcrz7yL6IlYSrr6plbkI/X 6+FEYzcvbj3AX797hyjLPOZ0U3GqnoraPsacDlFfffncTO68aono9HwhCOxmh8tPZNwtBq1nH9rA qeb2SQPVczG1TBME+K5dUcTjbxzgqzdPqJSadPDDz6zjn69XcOdPnxE7TFq1DLksmjnZE/uI8lnU IYRnblZJuSQxGusFTnoh85lrNNPpGJo1YMVoTMQpFaTpY2fkXKVoUvnZWwe4bWEeFr2Rmt5+DCo1 CQYdBpVCvJxBUVI8J9qayLVO9GG0Cg2rs9Kp7KuicyBAr7i4rCMcCdFrG6DfbqVxcIS/7a9GIvjx SSKsLEzHFwqSo5UQb9SilEnFz73NE6DD5hcdb5453kaKUcc7ldUUp6axKMZP1ZCDY2OjFBotrErJ E/lmwsJz01AzgwEXBrVWnKbfumDxZOuiTqlAp9GKz+cMzJoCwuMRjvbW8UpLFVlGK3PjsjCrz11+ HxcNMIR3I0tr4PXOZuIVKlaklyIZD9HhO0Jn51bGtUpkQQlSv5mIPJXKSDN5IQVJlsVEz8Jx+6BD 2tDeilKpEmWDJad3u8I+LzKFkgVxSTT29xCQRBH0uAl5PGLzVBUVRViuZDAUZHdXm7iRvqWpDple j9ThZM0MOt7vBTeWJPPGiQ7uWl9C54iLt463cbBrjOuKE8QF590NfShk0Xh7T3O3lAoSTrv0KFUK iudm8duidDI3PoxMsClfO4e0VCsdnUPUtvTzlx/cjGqGydfR2m76x7ysXjr9+O+9aQ1PbdrCt/68 hd99VcbX/7ST9WWp/O6BT6JUqmnraOWx14/Q0u9mbm4K37/z4+IE7rV9lby46zC3XjazN4vL6+e5 bVX0jfQSZxYmOlHiWlR9dz+rSy9+pWJudhpPvHWE7sFBkq0TWZlSruTeG1Zzy2VlHG/sYdWCXLHM +ftbuxm0uVBplDx5rINYjYQrC9IwTdkJ7HGGyLuAY80ZqOQ67ENCb286BNWDyp5hFmYkk6M3UdHX SH3PKBuLCsXjOoPcOAs/2ljOT97cS5xew9yUJNqHhui2OegYdYu0Ap164jgyY/RsqQmzv6mdS3Im St1EvZkORyxDQSd4JrKT6uEucViyp7GdBL2cVGscn1+Ww3c2V5JkUGEW1Fi3N/CxAj0vnWwW1SKQ KSlKiGFOfDyjnijuXpxOx4iHPQ0ttI3YkRkc3FM2D63ibLUQCvupcwdR0E+uMR694OQ8JW1Pj0tg b1M9pQnJJMSepVcITPyFifk42k9SP9JFgWWi0RaKBGlwDKKMjmbQ6WTANUQ4ouXSpHRuyMoX+1jh oIMRXwtmaSKaGMuEG45URnVfAwGni7mJZehmEZb8sEC6KP/d7bRmQsDrIVoqo8c2QmVrM6Ux8Rii pYxoDbzdUo+jqZYcg4lEhZLszBwUF8EjOYN4kxpP24QzzlXzJ5q23a8eI8ekYs3cid/dbh/PH5fx dusQZqWSE+0jrFl49iQXRsXpZjWXLcpiwzf+w9xkI4tyrKKZhJBIOj1+pFESUbFA+HnH7ip00fDl 37xJxpM7Kc6O57qVRWg1Cnp7R2ntl4q67TqdkaUZ4yKBs66+hj2V3XQNB/nGJ5aKe3u/e27fZPZy TXkJD/zxZSz6KtYvPstlEoJ+z9AIX/zNa3zm6jl8+uqz2Z5wH0Jz+cYf/Qm1JsytK1e+62unUSq4 /fIlfPfvb/Cze64nwXI2MzLr9awtO1vaeeRKHnz7ECqdhrsX54v9ma+9tJd7FqeTl5wq0kVahu3M T9QSjoQJhcdFVxhh8CETvBqjBK31ifuKIKdvBMIZEzulZygTgrTLltoWFmYkkWlO4YRtDLkfHnxt F/etKxfVNYQhiKiXJVMwNzmOBZmZZJqFrGBCUPBg+wDPH6niipICVHKlKC10xyUL+NS/ttE2bOeG UuHf5ZRYc3mhYoeowX6kpZZGTx83FiwlOkopHr+zspMfbz/FvCQjL1V1YPPIiAScnBpUcUVOgKBB wZKcbNItE6+RLNpPmy3AJZmJLM6I5ztv7+HKFOu0YCVg0DmITCIhVa3mnycPYxRLuLO0+AxLLK22 kRmHRQLl4rKMUp6uP8SAbxS/28+RoVHyDFrGZUqStGqWJi5jcMxG7cggK9Kzcfn6GInqRilVolUl Eh2lmNTXssSESFL87yuaj4QJhVylpmewn8aebtbML5vcIxM+bvMzJgKHfXSEHq+H/TWniEtKIUWu QH+BMuMMTFYLzlAXXq8f1emyQBIM4BU8zU9DcNy5ozxXvNhsTv70n33n3c8jX72af712hP987zpS 0qy8seUEz22vxqiRi+WAoCE1NDiGyWoiNz1WbGL/8wc3Uphi5pf/2MqLe+opK0hGo5YTCESIkir5 4sOvIpdEcV2uBldYyfryRczNEcrIKHYerqTo9Lf/Gfzsc9fy2+e2snZh0aSzTH1HP5v2VvLw5zaQ mzp9unfGtOHxB+7koce284rsCDevfHfF+kvmZhGO8vHi3sPcdWU5ylmasrEWCz9dUiCK5imlco60 9/DJ0nQi0TrerqwTTOyoaB1kzG1kf/tRsZwShP+MKgV9riD9Dg/pFgOhUEA8WY72OIkeP4XN7SUv MYHiRAsxegMOX1CkY9R0dWAe17J+bj6LUh1iQ9zhC+AORihLjacsPYFIJIj0HAV4wc1ayNT+sOsE 8xJNHOmyU5KoI18J/3rzOPXDLsozYllVkI1aY2HTiRpeqHPxj48voHVglF2tI8gJ0e8JcOv8PBal mMXpmycYpMuWzgvH24kxxdM22ibKIZ/BvMRk/nqwljSTFLtAq9EosQc94jRyqkN0ojGFGtsAyfoU 7ozNoaK54Tx3DyGgukQZ6ulw+R20OcZE8q47GMakiOGGjAQ00unZkeBlGezvFilA7vAIOaZSwtKg OPE9g0DIiTL84VFj+H8WsFxOBzu627kxb86s+uYGswUDFrItsTR0tvH8QC9mvZEyo5mU1PRZqQpC GRejVfLY7no+v34ux5r6qOhxcFVwwilkxtvMwMZfvCCLAydaKZmTJv7datFx58Yybr569qVQIfv5 wxPbMeg1/ODTa8Xfn990iI+vLOS6DWX8+h9b2HWinVULCkTLsqkIBf2Ypsi0CP0RIRsRMiZh7C1M 4jbtPcXvX9zBo1+96bxgNRVapYqE+CCN3QNcLFbMKaJ3ZIRP/+Ipnvn23TPfryKKrY09fGJ+Pm9X 1vBCZT8/v7qUWIORpZkTu4/Rkmqumps3KctyBuFwiEfeOcjNZfmT09a2oR1cW3qJuHta1d7Kw9sr KU/Tiz0u4QR2uN2YdBNT4USjnutLJ0b3gvHDS8cb2VrXRr8rgFQ5hlswRbXEYdaZxCz10tw0+sds rCzIwaTu5rWqNj63spB4hRJ99DgJOqU4fU7URrGjeYCo8Dhffn4P89OTuXleKsFAmLt+/QS3lqae Vj8VLjJMKjXv1Lfwwzf3o1LpKMsSAtJEz2fAZSMY8THiCfPCqVbRHq1muENUhtDJlWKmKbynghZc lz3AqhS9OMSRCxnWOR/nYouVZ2oPsr2rAoM6hmJLPA0OOza/h1WxJmI1GuaYk2edggsZrZDhV3Z3 kmyJmZCdkUwXvmzpt6HTGrFceC71ocH/OmAJ3xtXZeSiOD3NuBDkSiXFuQUUZuaIY+A+t5PmyuOi EqNGsOMOh5GoVKJGuDAlk0RJuCRXy+6WEX7+7G7S0pN46o5L0E9ZG5mKYGRcbKjPBKc3QFNLP93D DioqO/nybTMz2v2+gHjdnz+2E5/Pzy+/fo3oufinZ3aLu3qCkoMQX4X1iqd+civ/eGE/X7lz7aTC qcDh2nm0mS/ctFr8/e19J6g41Yzd6cARknGwupUXdpziSH0/rz18B1bThTXIO4cGeHFbO9+8fTnv BTdfuoL6ziHqOnspSD2HPgIsS4nl/jeO0jroZF68nt9/bCmaKS7BlZ09jLi8orDeuajq7sfmDbCl up51c/L5yZu72FBcMJmhFKdn8rOUVPY3dzEe7eaxikoEnYHgSC8yiSA0J8PuHxepAQVxetYW5vDN N08xzyL0RQM02SXs7WgiLdbK2rxksW8j/FzZ3sJlxXMpSbGytb4bU7KO7VtPcNniOTicdqpOdtI6 6iQjw8QtC4tFi7C9ncOkmUxkxWeJSgxT4Qr4sBosfLl8Pg++eZDdbaPsaLURjvjQKQzIJVJ+sbOW xWkWWkc9NPZHONp8kkSDmbB/DHtIToxeS4EpnvqhfgriEkUdtHMzLKHpfmfJCpHysrPjJK6IlFUJ KcilKjRKI519tReUdhaC7OKUXFoEwwrF+e+H2+elzung2sSLtxX7yAYs4xTe1cUiWiolLtYqXgSZ XufYqNjcl8rk+D1ufHb7BEk0DDb7GEq1B5tKyZu7q1D7PFy7emZJFqHPYvee5UkJ1IrHn9zG/uMt HG0d5l9vnWDlohx+fd9G9Lrp6bNw3WdfP8Kr207hjUi4ZEEml6/KF7OhvzZ0tU8AACAASURBVDxf QXysno9dXjo5OQxKJJgtelKSY/jNY9to7hyidG4GHV09LF+YS2J8HAcrGzlcWc837ryedff8lL99 7zZu+f7L/PmbHyM+po3hsbF3DVhJlli+8sl8Onqd4jHOJrU8Ez61bjm/eXEbVy7LYd386dmkoGP+ 3ZV5PHG8j6tL8qadLLU9vXz+9WY231kmSpucSwV44nAj39+wiMf3HaZtxMmpAS8/uCZpWoYgMPLn JBh58ng3X740l+eOVOINuHngjSH+pyyVdK1PfL8+/Z9ask1SwqEAMlUsT249gsob4ks3LqduaITX K/1cOz8PuVTOWGDiY2o1mLhlkZHjrS3k3lDOX5/fQkVlC2atlH99+WailAq+9Mop7luRyaU52Wxp 7KHVYWdfdSNeXy2XL5zDjhOtDETLWZGZhFymFKeFNxRnoFcqxCxYcBj//Y4+HlqVg1ar5b43jrEk xYBb7WdhsopYY4a44C1kP66An4OdbRQJxFwhm55B2OEMP8/hc7I4PgP1FNE9Yad84lYzQwhmhwSd MZ+LIuP0exa2F7a2NrIqOf09fTY+6JD+nz1wdDQmS+w0lxWD6ewyQmh0mLKxMeYtm+iHbTnSxOPv nKS8IIns0646Z+C0OWmsbSccCvH8qwdo7RyiuCCFX9w/F0OchV//5S2MVtNksBqzOWm3+4UaTuyl 7DzeypqFWQw6A9x3+0rxwyj0xA5WdfD7B649G6wExnx0FA/84hWWL8jipZ01LJ2TgiI6ijVLitlz rJXuvr309A+xYmEJjIf45OULSI6NwawKin2mogwrv3x2B6tKfawoyRGZ/jNB6HfduHQDf3ttD394 aSfrFhVSmH5+xjQT0uPiWFacwuOvV50XsIQpXVZCIhZ5u6ixLug2nerspqZ/FKcvxDeXW3ntVBOr clM50NqFRm3i8sJU/r6/hk8vyROtsL582aXsb27l+QYXfzlQTZRELupOyZDQP9LH1jYP916Sw3gk SOuoj4c3LubwU/u4bdFEKbnpRB2fKzOxqqiY3+ys5LqiBL64cgGnmjvYtLeW9u5uQmEprmE/zT4b w54IbpubNINaJPAGwxH8/iC7KvsJR5S4QxIS4hLY1dTNt1cmU5Cahk4h5YbidNZk3cjWI80o5QEe 23yQBLOF15sHWZWVxN8P1VA9PM6Olk70Ci2xWjXvNHQgU6nF10jA07es4rlTrfQORjg03EeJGBsk 4lqRsBokjCMau9rFLO5CKzyCGunUYCVAHq2+oCFYh70Xf9jDpVnzsPnbRda/WGqLAStIos6A+V3k nT5s+D8LWO8Gv9cjlgNnIBAx+4ft/HXzSSRyGfeuLsQSa+T553ay7VSXuDTa0tBFV88wX737ctRT DCLqO4d5+MaJ0mrE7uaJvY2kG1UiexiplJ9/dSO9PcP88qnd/PXpnSwqSuH3Lx/hB7cuYcDmnuxV yWTRfPHWcpbd9jsG7V7idEqRGCjY2wtTwxWLc/naI6/wpZsvITdr4gN/zy3X8Nr249y2YcLXUJBK vv8T63h973G++edX+fHdV6NSzG66+emrlovH/LdNO/llr507rlhAToqV+CnBfiYkmuJx+I/S1D9A Tvz5ekxqtYG9DU0M+uWEAy42zitEIxe4WlLqenp4+lAt187L4c97K0nVBvH4PRSnJE1+2SzKTCW7 updb5+eKWVowPI4iahyXP5EbFo3T1NPBKycaqB4K8OVXj4vBS9ir3F3fgs0nYV1pMTKZgsz4RLps LpJjoSgjCafDwZ2bq1mUa8LnG0KhScbMME8fbkERcPH7z2yckH9u7RTbBwaDYJwR4vntJ9jXOgS6 KL6kjRVpCuLrrdbz8Uunk2RHPDv40hP7+dOnV3NDsVLUrxr1+OmwjXBZbhz9Ti9f3nSUn20oRi1X cFNJJkvHTLxQ3cZlGUZ8AQcHumsptiTg8Ps54XazMX9mdV53IED9cJvYtPcFBF36s20NnyDON8OS thCYqofb2Tc0QKpKJRJiTfK0abQJ4SevUIZ+xPC+DViZSefX5fExBh785KV0dw/y78Ot9AzaOV7X w/qiFHa5Q1z309coT9ZT3zZIYXaCyMlqaOhCJ4/GmhBD16Cdww09LEzUsaJsujxJrEnLUw+n8+/N x3inpo871uQTF2/G7vZNu57AVzvy/NcJ+IPIz9GhEk72sqIUsWE/FXZXiLWlZ8fOBo2K2y6/hLT4 Gg7XtXPpvNl5a0KmJTjffPdTG7G73Ty3vZLndtRy9SUT5ZKgiBlr1JCfNt2Bubw4l9y0O3izvkvk 2aUYJ0r4HruTrfXtbKrqJUkn5cqiRFbkZ2Ka4m5cmJQkXgTMTTDw5BGB+5RKw8AIyUYtGoVCdDYW Hk4IcsLqzxmckeNPN89huc9N03AFP7+mlB0N7TxWUct4xM+nl88XycUCckwSdjWMMO7ysPVgLZ6Q glUl8fz5W7eKKz+C32NdWzRDDR3MKSvgJ7ur2JBjorlnlEe/cSNdY61s3teJw+3hspIkKvocFMTN Xm43dPZRW9fHvRvKUEpDk+45Vq2afOvE7UoSBPJsNH/Y38iSNDPlGQkk6fUQjkYRLcdsSEKnNLCr q5FkYYc0dWaLtMbRYaoGesmJMZETk8XOrlpWphQikyp5sf0Ql1gnMs5z0eu2MeBx8rnCJXTb+xj0 eYmRSEX5nDNZ3FjQRYxq5r7thxnv24B1ISQnW/lispVthxtYkRvHgqx4PrG+hK2HGtBbjPR19POf Vyoozk0UM6B7blpOfWsfbxxq5pryQlLjZk+jb1hdLFDcBY0TeoYcBHzn7xAKODdYncEnr1pI9Dmy NwOjLpzOCd+7qchJTeYXz2zB64uwpmz28vAMBKnluzcuxR8M0dQ1KBpUCNyndw5X0tBpQaWQs6q0 YLLJHKc3cX2xmh9uO8y3Vy8gSjLOL3fXcUVeHL++LhGPz0tF+yhPH65jfrKV5Xnnk1XvKF/Edzft Ik6rpLWvm82VTrG/FS1VMuIKEYqEkEbNrNYhuNDo1Rr8oRBZZg2vVvWwtiiXN+r66R7qxxkEdVSI ffX9ROL1fP6WKzHqVNx0/+9xuxzo9CaeeG0/GQkG1q4ooXrYwzVzkyhONLO+KFdsaj/2l+3My0nj ksJM8tKSqX6jgrb+brISz19UF/qmbx+s5QefuRIPEY72uMi0zGyxtjAlRZR1+cmOSsozEtnbNkCS UTNpHqtTaFmfPpd9bU2zvl+NQ/1cnpaF5vT+rTsQj0QyzljASSASRYp25sduHO4g3yx8YUhINkxk 6nVDbVhVGizaiaqjxTHMXMvFtQg+TPhABayq5l5cI2MYrWb0Og2numzce+UClKdZ64JPois8zrLl BaxdVcJXH36JyvYRLl3qIiYxlnuuW4x2Bob7VCgUp/8ug8yU2R2bZ8O5wUrAPR9filp9PvUj3mzg J5/dyN827aO5Z0BUY7gYKGRS5mSe/bBazWreOtBAz1AfXn+I8pIc0QRDgMCfun/lXH6ztxqHL4pL swyY1FHkxU2cLPPTJpaEn6k4wqEtFdy7csEkG11o+j53pIo4vZ6y9CSiolIQfH6cbjuNA8O0OP0c 6RpmeUbijIP5xr5+klQ+XjkplOAyypKNojDenSV6PrNMyDTkOD0uLs/JpqVniFiTHr/Pw9LCBDFY uVx2uvuH+fyNqzjY3k9BspXCxOml8Jz0dApS48VgJeBLKwr4xf42fhyfMsl7OwOBKycY4vYND5GR msA79V1kWVQUx5vPU0oV4Bv38LE5Eoa9dt5q7OD+8kK8IR+1/XUsSJorUi8EisSx7g5Kk6cHyFGP m+jI+GSwEqCRT7QpxkJBLOf0s4TybtTvxBOw4w2FSNZPL+MTtUb29LayRqHnlK0LnVKNUfnR6l99 4AKWYCjao1LRP2jjuf2NrJubMhmsBCQkWNhT2S7+rNCo+PjVi0g90UpNdTs/+dwV/2fHrdXOTuwT tLLu2ljOk5sr/tf3L+i+f+EGK06Pj8O1HXz/H2/x6y9dN8mQT9AZ+O6a+fQ5g7xc1cLKzPPL7VuX lXGsrYPHD9Rx1yVzRB2wUZeDqgEfqXrod7hEHpUAncZAaaaBOampvFDZzOLUuBlP+FijGZ3GxFgA PBEFVxcnkqjvQauzYtBOEIgFOR2dOsCLu46wckGm6PZz/123MjQyRMWpFpRqwftwnBGbgyf393Pv ylzmpiaLO3l2j4u8dA1vHahmSUG2WBKb9SZMqnbx79FntHROQyinPnXFMtwhD9ubergiP4ZOm4Nd Lb3cMi+DRKHsm/q6Gq3IoqLptfeRFh/E7h/lxEA/pQmCn+Lp11at4ZRtZNrtusZsNNqGWZAws2KE 0DNTnZNN+yMhDgx2U2SK47KM86fhBpWJJI2aF1qrmGOJo0TMwD56+EAFLINOJV5y4vRsOt5BYfw5 3zDj4zj84WnuP8uKUtm/6+T//wf7HiCM0t2+ELVtLRRmvHfnoDPQqZVkJRmJigrjD4SmrfSoZHI2 17eyNieOmCn9qjMQqAllGen862AtW6qjuLxkrngbr2eE2y9bgUp5/jKtQMKUSBTi1G5qwBIys46R Md6oauKNJj8/v6KAWGWEP1c0Efbb+fTys+YcAgRF07s3lnPjd//FygVZrF+Uwcvbq3njUCfPfH+j SLxdlBnPq1sO8PcDEW7wRUgzKvnN1pMcP3QcjVLLJx/+E0vnpGNJSCfbops0cT0XbbZR7nnlOBsK DHx24XwxcHTbnfxway2LUs1cWRBPnFbITiXIoqRkGuPAGIckfIy9A33cnDN/muqEMLWLBAJiEBIW rxtGujk01MvVSYXEnZY4PoMet42tvW2YFHKKjNM5hQaZkhSVkgS1Hlm0QqQ7uIOC8QR4wx5qx/qo t7vI0CrJ0cdctKLqhw0fqIB1BltOtrOuKFEsDaeivXeEvKTp/6ZQK1l9xRLez/jPtkO8sKOG6Chh RO5g3aJ81DP4Dr4bRh0ufv2fndx38zr0MwSl1dkmXqrspzDOMnlCH2nrFMvGrLhYarr7RPXP2kEv 6sY25iWZcYcmrKZmO5pCq4F/n2zgrkUTUzJh7WZLUyd76rq4cX4GpQkTPLKkmDh+cKVZdBYS5G7O RbLVzGuPfIbW3mFe3lWFxWJgxx/u4vG3DlGck83AiJvirBQ+e90Kfr+rkoS56fz2ljU8nxqFXh7P 0uIkdhxrY9uBOtILpg9UpsLhk3B9YQKfXXJ2hzbZoOPR68o40tXGU9XHuCo7g/yY6SXenIRihkM1 NAz14gmNk2M2EKOxEGsw0NPRzJa2Zjy+TkoSirgtd8GkdPRUJGlMXJcmo8/r5MRIPxaFBZNCiz8c 5NhIB4M+B7kRL6FxKV2uMbb0NFJgtKKVqUhWx7A8Lp8Rn+eipJE+rPjABazOjj7ae4a556qF5/2t YcjNirzp394fBMzPSebachefumIxr+ypZMndf+SJ71zDvJzsSQ7YxSAYirC/ahS5bAcPfeZqNKdd oM/giaNt3FGWOhmshmx9/Hl/E3GqCOOSaGQKPfetFKReDLxS2cl3Xj+ITK6nfXiEuZqZicLzkyz8 em8Vd5aNM+i2893N1fxkw3yydDKCyAkEHaKihQBBvE+jmv0jJ+yjFqYn8a26N3j0vhuIMeoIEBBZ 5G8frueWtWWo5XJWZ1noGh4iLz6Gq8rKefT1LWxYVMQN5QuYV5jIlzc1c3lvH3MS4kXLrKkoSTDx 6P5TfPbcBx8P0+0d4GuLlrOrs5LD/a1clj6XOI1ZLCWjo+UUxGRwuKuV+dZ4kQiqUug40HIcY7Sc dWlp/LG6hxIEdVvlrAx2vVyDLxyh2+3hrw3HSNYoiVVqOTZsQyuVsWegiyGfWwxK7lAIXzjIivic ydvHzJDpfpTwgQpYoWCI37x2jAdvXylKBH8YIOh8nWruE3tGBq2eT12xnOtWzOO57Sd4/M0TfP3W NaTFnz9N2n6siebuAQrT41g6J0NkmPcO2yjN02PUKmjvG6MoY3rwXpJqxReSTk7MXqm1cWtpBpfm JDNkHyXGYJlUmripNJdkXTT/PNRMw7CJ0yIZ58EbDJGo03DfG8dZnKrn0esWiaWkViooZkh5vcqO VVhduAiITf7tR7h8ST6pcRPN9bKsdH7wz80EwyGSrRN9r6wYHQ9taUepMdI4LGjBeyfKUnFJW8PC FDVtNj9vNVRyZ1kOcVMEIJ1+D4FwRCzhpFOUUkf9XgoMJqKipKxOX4DDM8ym1krUgnFESiFmjYXK 0X5SdNEYNDoO9/aijIIRSRRamR+bz8VVSSnYfG72dhwjWiIsUhehk2sIRoLs6mtEEa1EQkiUhb4x O5lGu4N0tYV6u50Hipexf7CFIqOVevswOXorsUodg76xi3rtPir4QAUsYQL307vWzahlJaChe4SP L57ZieX9ipq2Tg5Ut/DLL5y1GzNotdx9TTkn6+q47r6/8/QPP0lh1vQm6/7KGnJS4jlY3czXH31N 7EGlJ2jJSopl94kOUXX16e/dNs2+3ub1kRiaIMFW9gwRCftYmZsnEkETLdOD28tHTtA4GuS3H1vB I2/tZEV2EnGGiSxLWGHZ2TrIwY5B+hxj3F6WR+OgnVVZyWKwEqA9La884PRjlF/YIfwMhIzkeMMw 3/mfs/uTKxdk84vn9nHtupJJtQRBxbXD5mHY7eLGkly0bh9/efNNvnTNRixqHXMTzexp72Nhqoq/ HzrBd9ee1SPTylVsLEzjD/uruHdZsdh7q2jv51ivwLifK17H63dyqK+JFalzGPXY2NFZw7q0QmIV clFPSytT0B2Ipq6jhcXWRFI0Oir6mlkWl0pmbIJI/Hyrq4pn204iIcKoX8rqxFjkUXr0Mg/pulQG Ap2oouVU2XsoNCSLwdOsUPN8WzVrE3OwqnTiexqvuvAK10cNH6iAJXygZwtWArKsesKzLEG/nzKq l3adZHw8gMVgYklROt2D7hndgEbtXtYvTOLPz73NI1+5CdVpMTsBn7piEW8daOH+T2wQL9MfI8gv /r2Tv7y6X2Tga5Sg1+iQSaLZ3tjJnHgjIx4nq/MzxWA1FTavm7fqenit3ssdZRa2tQyQlpTOO03d bMhPpd3m4UhXD5kWM7fNTyBen4dSqiAchm77MPG66ca6drcTyTkNYl8wyF8O1pCsllOQlEySLkos Bzed7KB7pJ99la0MjDrF4YEvEMXnNi6gWyonEA6J5WyvbYzV2fGUJVlFiZZrlxez8mtvcef6NWiV GtJMGjocQr9KijYE33zsWUwaLZ6An5DEwLKFuYSjQrzdUSVKurxVY2N5XixtXjv1riEcHi8x0REM 0mjMhhjitDFUD3dQax/DqjZwtL+VWJmSG/LLODbYQaw2lmuMZ5+3+Hwl0XwmdymOoJcjI40sjMlm xO9ia287KdokAhEhiEsoNBnpdY+SrUvAF/KxITmfjNNSyf/FBzxgvRtuXlk0Tdvo/Yg9R04yHgqx tCSP2vZ2vv3XTVjNegZGx0iLn278+ebeKu64qpRjDX186qGn+Om9G8lKnci04s2xdA0cwhcITtqG nYFQXn79llWiNLPD7cPt8xMIhnltfzXtNgeexQWYtAZ+tbeWbIuaLy0vEid+Fe19bGvu4pMLcrgi P5VQZJwf7zjBF5cVMOhy84VXT1Icr+CLy+diUE5fJxImWgEhap2DlTmJHOlxsXA8jFEImjIFTxyr oyzFQrxaRUt/B3/dN4ZRp+S6ohR+fs914mRMyC4EvTKh9BfMYZ881sSwO0CiXkp6XDyrg2FRg31p RiqLUkzkJCXz/TdP8qOrF+ENBlmdmcXcuInX0+NfIGaF392xE7VEjl7tZUWGiRxLAs0OGyuLAqxP nfDXFCZ9m7tq6fc6CQz1EAg48SPHG3DhDvowRGvISy5gb18r+3qbGfT5sIz2UWI9y3YPRAS56xCR 8TARwmhOZ50WhZZkrZ4XOo6hlo6ToY2jYWyMXMPEoMgT9tPg6iJOrUAepUR6AWv6jyo+VAFLUKV8 v2PN0rPecOkJFqpbbby6p4b2vhGSYsziMqzAeH/ylS2EIpCTkcmcgjmUFeXw8vbDRMm0fPb6crRq JYuLMlnzxb/wys9uxWo+2+cSWr1ndOT1GqV4EfDFG1bQ0jPIL556G3c4Stx9TDAbeexIA3qFnOYR J99ZUyqWXqJ9lssr+vy9WtNBgl5DslGFzRdm2D2GQTmd2LgiI4773jiMwy8l2aAgMi5BGgWDvghv VtZyqFkuBkUfCq6fl0JJwsQqUarFyJGhGlx+HxathlTjzKYl6WbZpB2XwO4vTk0Vl7wf2nKclytO MS/PSlyKke3N7Vi0KuwBQbp5ImBJpXKePNbA2pwMrs6drrBbGqOkTjrO7r5GUrUWPKEAVrWW5Rnn mziMeh3UjPbiH4+QpDWxJD6TbucQ1cPdDARdE7uBUeM4A1L84z72DLbR7m3GEH32vVkem0evrpfn WltZGa8Xy8IcbRLOkBdXMIBeIePVrirKrdmkqN/dufqjhg9VwPqgQVjeFay+/vaNj7PtaDXPbDmO 1aTh+mU5jLkD/Oq+20SDCwEFWanEx5ioOFnL7596mW9/9laxsf63bwrTtIvvc2QlWfnep9bxtd9v 4qqiDDGYpRjlPLyrkbXZsXzjrWNilqpVgGR8nH1tHp67rQyVLIrriqJ4+ngjtQN2sizTA5YQjOw+ YddOULQQnJp9SKNk5FpjCM2NJl4TzYqs6YRVIet58lgz8xNNLE6N4d/H6rlxXh7x5+xiCliaJkw3 z1l5cvnosgf53toynj3ZitsWIHlcSrttlEyLGnfQz5HuAd5sbEMwW7ln0eXn3a8QnItMyWTqYhnw OTgxYmNt4sy7gUJTX6AkjATdBP0+ohJzSTUkiJZngXBQJJmGxsPIomSM+t1iplg0bmJLTxut7naS VHFi5tTudLEiwYJBasFwOj5X2XpJ0+uYY8gmOB5AJpGzfbCCNdZ3V5v9KOG/Aev/uJ9l1ivENZsz qzYv7DjJXzdVcN2qJZPB6sxaicVk4OpVS9Frtfzg0WdQaVTUt8spyrj4nbKhMRe/fX47/3NFmbiE LaBx2M1NJYlclpPOzfPOXvfBLSf4541zSDKcDSDCIvChzvMnVx02O2XJWtbP4I6tloV5tXaUFVnT n/u/dp6i2W7nxg1LRd7YXUuLxKXqmaCcYc8y22Ig1STjzwfa+P01ixjxeLj/zWNkW4wMOkPc/cou Ls9L4v4VJVT22rn/7b08tHYh6nOkiAUImWS6NlbsLQ54ncQoTw8Yxs+WuadG+4hVq1iRUIAndHY3 VChfhaVoAfLT/Tqh/JuAlnVJ49TaB6gY6iZDyOLCYZbGTs/0tDIpOwdqOTHax9KYbBJUJrrcXhyh MfTSd5cV/6jgvwHr/xCCS/IDnzj7rX+0uoVTtY1Ix8NUNbaxbkmRGKjOxaULi0lLjGPLkWZ8gYuj DAgYsdv508v7uG5FCWX5Z7Xn1dJoXIHzhxUPrBQkZ6YHEEELf9TrPO+67TYva7JnLmFSjEZqB44L 697i7z6/n0ee2YpOo2JFaqyo+SUcU1bSe+fQfWPlPF6va+F4Tz+v1vSKA4DSZAsZZjUuf4Bb5xaK TjVrs4wUx8WI7PULwaww0+vpFH8e8I5xarRTDEhjgXHyjTqqbR6iJdHoZMLKUIQR/xixygubyscp rMRZrQQiQXq9ozSMOc6T+kvVaomx67gicT6KaBl7Byspjy1CK33vvp4fZvw3YL0PcLKpgermXl7Y 3sQfv3YFu0928cauozz0x3/zvc/djHSG7CI9ycryQIin3jlwHklRMFQV1n2ioyWiGKHbFxRlWu5+ 5D/ctn7etGAl3Laro4+MzPN3084NVgIyzEbGfEFxudc8hTIxOGQnK2fmTE9QdxACiaDQqZUr+PG/ 3ua6S+dSmjdReuWmxPKDf27ngU8sF23KfP4gJr1SvF34tGS2ULqdu8wsuPl4gxGePzXMAaOXX101 h17HmMjmf6POzYOXlYjP70xsiNO+O+lSJ1PgDY/zTnc9wXEfVyQLdIqzr22r04nNP4oyWku9vYMe j5+rUi4csCZfhygpFrked7CPNzqrMMiVlMdniwFRMh7N+HgUwn+uoA+tTE6W9oNHgv5/jf8GrPcB Rhwh8jMyeeEnS5ErlHwiMZmb1y/ix/98m1P1TZTOmZhgnYue3h6ix5WiOYQwGRTstfbWdfOXFytY XhRPhJBIEFUrlOIk8cE7L2dJ0fRdRUG5sqV/hNvXnL85MBsWp8TRNOxmcepEAPAFfJw61cCagtlL 09vm57CtuoVr5heI8tB5Uww4spMT+OUXrubZbUeQRjczHpHhE12cBUtdCRqzHonOKLLqRzwRBpyj OPwS1LIJAuzPNsyhJEEwaRCWiG1sa7axOjuGzfVtDLjGyY/VkxOjE4cG5xq6drpHMcplaKQqcWG6 xjaIIjqabq8TrUx9Hls9VaNmR187aVodsUoLc80GvGGvGGgU0Qp8EQ8to06KYs4XTexxj1Ft6xIX l4V9whpbP6N+B3qZmgMDHWRrk3ml6yiK6AhW5czSMx91/DdgvQ9Q1dLGV268atq/CTrdd22czw8f 382ConzxxBFUC4TTR0ganti0E6fTzoN3TXgaCifugN3B48eb+eZNcyjJP+uDeCEILtKGlAxO9nYy 7yLNDBalWtnW1MriVCt9I2N87hfP8O3bL8d82jFIyGqEHpWQHQkl64P/2MSAzUUgCJcVZouMfKGB PRVxZj1fuXHNrI/ZODTK7jYHRVa4tiiDPW3dJOktlCSeHTgIE9ZiawJXFrfxhcV5YgARsLetne+8 fQqFVMj2JKyda2BxUhw7errINmhxBP2M+HziwvG6pAxKzNlUyVqoGBykxdFFhm5CdUF47VVSJZk6 PfMtVkLjId7qqmfYL0wko3CEXTiD47T3BCmLiefu0lJC40F8ETc6CG8jNAAAIABJREFUqZEG+wCX JmSJdAVhIJGpD/FGVx1pGiPJGgOFxhS6XWOsTUxl91DNRb0XHzX8N2C9D3C0fohh+xgx53g2Nve6 cDtH+c3T75AYo2VoeBBfMMSAI8TmiiY+u3E+z761F7vDgcDo6LL7SLEYaXRGyA/6RZPSC0FYdxEc qsszTBzvGWbeRfbuBQpEIBRNW38vj79+nF/cez05KRMZ05jTzbPbDsK4TFyajpLI+PTVy4g3a+ka dLHkrt/yo7vWiNQNm9MhKkpczKJ3bqxZvJxBjz1CcfzZoNfvdLK9uZtxQgw7ZeKk7gwWpaSwIc9F ksGAShbgUI+bUIKE23NKxCxKgDvkZ19/C75QhN399SijNdyePZ8et4tDQ4LEMcijItSNOYhTqWm0 Q7urlwJjEtn6sw30Q8MdZOcZ2dPSx+8O7SXBrCTWICccaabfFeJwVBTecAiLQpBmjlBkjBf84Ohz e+jx1JFvtKCXGbk6cWa38I86/huw3gfITUmlsrmb1aVnA1Yw4OeP/9nMYw99jk17j9I76uSej13J vzZvR6KUcHn5fO656QpxdC5kY0JWc7CmBbVSQUl2yqzWUVPx0NYaEvSCm7OURSkXP4kSPAiV/iBX 3v8sj3xuw2Sw6hsZ4Zf/3sZVlxRTXpIn9pymHodQlqbG6XjncAMv7a5kcNSHwHm1WuX84Yu3iis3 FwshcCtPf3oFSsFv99VwR1k2wz4he9OKPS9vMCA2xjVyJf9TVsC+9k6aR9y0D9uYY5pYw3H6vWLQ 1kgVLLEm8lhjNTdmFJCkmSjJcg0qcpnYaxR2AuvsJxlHii0wwKqE4mn7iAJ6fb0UGuO4Jj8PXyhb 9EIUemCDHgcubyOlMUkoo1RiuiYsZgv/NY32oiBCUWzmBY0s/ov/Bqz3Be7euIBfPrud5XPzJgmf gs16MATPbd9HQ6edH37mCiqqW+kajGLJHCsJMZFJT0QBQmAQnIJPNbUwL+fiSrvvX1ZITf8I/z7R zacXzS7JMhPK0mPYsChbNAcRMGx38uA/3ua+W9aSl3p+/yYSGeeVPTV8/vpy1i/Ox+F2imJ7Al7e d4Rdpxq4YtEUTsW7IFarwBOc8JzpsDlYn5tMXmwMPe2DYnbXPeZgS1M/5RlWcmKUYpDNjTFTN2in 3xnFPw/XoFPIGPWE6Rhzsz4vHneUhzWJSZPBaircQq/P0Y8qKppYpZxWpw2dbEDM5PQylUj8bHDW U2zIQytViIFIPeX9GXb0kaExII+SMuCz4Qh40ESpMMik9Dn7iVUb/husLgL/zbDeB4i3mEhPMOP1 eycD1qt7a8hJt7Ju8QJuvkwtTgrHnC6+dftKXt9fQ0bC+TuV9R2CntWFJaCnQh4toyQxjpO9dir7 +llw2njiYmAx67FJZbyy5ziNXWMcqGrhvltWzBisBByoacDhDnHb+gJxf/FMsBJwWWkRX330JZbN SWd41ElFVR9dg4N887YrZlXlENxqhL6RgJwYCzmn1++WJGVxzba9tNtiWJFhJssyIfLoDwX58fYG CuO0uANhUk0G5ifGiD6NQuna73aypb+b1Snn9/4C/1975wHdZnm+78tL05Isy3vv7Th770EGISEh CRDCThkFShmFtkBZ7Q9aNh2Ulr0JBBIgkEH2Xk7seMV7W5ZtyZJlybYs63++T7EdE4fRSfrXdY7O sexI+qxEd973eZ/nvvt62FR3iskhMSyKThdftcnSRJhcTZPNyEFTIyqplBkhY/D3HT6C2dDtIFqt 5r2KQuI03qQpQjBb9RwxGbH2eTE67PxBJB4G8QjWj4RZo1O4909fkJkQhtPpENNwHrt1FdKzxo2W zXCf5C2Zks6cO1/is9/HEhKoEU3x3t92jLc25xIbpqWgslEcdk6NCSAmNIJuR7fo9S6X+hKoUop2 NYLPVveZOleoSkNnjyAAw1Ntauej/GpxbGRRWjRfFDdg6e5i1fRMnn/1K9bMz2bNRSt4/A0hECJu wE++H2He8dkPdvPSvVecM2wtoJIrWD1vBFN+8neWz8wgJylObL2447n1hOnkLJ6cQ2JUMJozI0aC 4d2+KiNrz+Qcns3ruUVcPjKUGLWCiTHulabJbufj/GrWjA5nWnw0N01I5LOiej7MO82C1FgSdQGo pDpkUhfbG8vFecJAqZbswFACJEpKzS1kaUOIUrq3hoI1jd3pi4/TTqY2hnCFhlKz6fxiZWunxNqB XC5lUVQ0Olmg2MsV5h+BYN9W2lpOuamRkWf5XnkYHo9g/UgQzO0EW5K/bcwlLVbJ5OxkzjfH7a9Q 8MQti3jl893cc8VCduaWoJD5MS0ngl+sni+ewFlsDuqaTbzy+QE67SauXjAVIYbxo52HcTq9sXe7 qDW0EBEciF6u4cqJg71Z3yROG8BNE1K4/8sTFOitXJoVyszEVLzxonxKJlHBwcRHhIg9Xk+8tZn7 r76I4DP+78LWVhg5WjY9ixDt8KEJwoni3tx6lkyLFnuw/Hz7GJ8Ry/wJWVQ2tpBfXsuWqlZun5WF QuLNR/n1qP1tPLLzIJdnx5IZ7D7FqzEb2FXVxJKMcFxCighworGZT07VsCwrltGR7tWf0E2/akQC JxrrOVzbKgqWQLQyiCiFjrYeCx9W5otjOEtiUsUG0skhg2JS3lYrnoC2dRrRKIIJkKhx0UyjzUDE MPN/1i4L6Rod44OTBixyziZeG02rTf9t/zw8nMEjWD8CBCO+177Yz3M/u5S3txwRTfx2nyhm7RPv oJTLmT0mkakjUhA6ASydPeLx++wx6Vht3Ww9WkhBZRMLJ6ZzrKRePH0TUrRlUpmYZ5gcreOZD3aR 36inXerPlfMn0NhoIChAg1SpxtKux1fqyzv5emYmRIvH/v0IdselrW3srWrHZO/gyYWCn7mfODfY z3WLxnLVI2+TER8sXpPgenqytIm541Q0tVl4/sOtVOstPLr2Yjrt3SjlUvGAQCiGC1ZAwha4Ri+0 BTh54pYrqGtuYcuRYn767BHWXjyeOWOzSYgIxqeojLzGNnr6nFidbfxp8UXUWdr46+HTdDtLCfaX 0dfnw8qMHE40NdIXYuGXXx6j29nLc5eca5Et1Pza7X34+rjEsNPaditVxnba7C5k6g6uTBgpXuNH VadIUWnF7vN+7A47ciE01tGD3dEtCuBoXSwbak+TE9iDy9VLWkCsWMcSftfaDhMZ2uBhxUpA8HAP V53HIdHDEDyC9V+kx9HLO1uOYLS087OVs1HKle5uZ28v5k/IZu64DFwuL1GU3tmai1zihVrpRau5 C3uXS/TQevbDA2x59kY27sll9bzsc1Kk1Uol1yzIYn9BI5PSInhsezkTYzTESjppbbFi7hJO0nzE I/Z91fXMShz0dfq0oIoYrYo1o2PRKeTDFoX95XLuu2oO7209zK3L5zA5O4E/rd/FjtwiMRHohsVT CVQr+fpoPtuO2JkzNokdx6qobW7HXyH0mk1FIfMVHRgEokODWXtJMGvmT2Dlg39nQmaS+Box2gA2 l9SKQvPTye4Tvmi1jt/NmyzO+wleUjJfmbjV6vNuYXpMApdnSzDZunH09VJtNpCsHezbONHYxubT LYSpJDy9O5eJsWEk6nRk+PoSqooU+60ErkgYyaHGMurb64jRxtDrcNDb40OtpQeJlxxTQwkz4nLE nq/lsensaCwjXOE/MH3gcHbRYjMREntuEk6VQU9kYNBAjqSH78bzTv0XEYRpcnY0Vnsg+rYWJBIf nC5BQFziDGH/HKFQw1n8jaH9r4+f5C8bDrFsdjwtHc3sy6/lritmnfMawgfnWHEDkUHBjIkM54mF Ug7Xmujp9eXKkZHikb65y8rW0laO1Bp59UgVkRo/MkKDabTYWJYVj/o7shynjEikvL6FTfsLmD8h g5ToMLYeKeWOFeNJi3W3PEwZkczT7+2kusmEC2/+8NOlNLaaueuFjWJ/1tu/uXzIcwpit/aSqby6 I59LJ6dSoLewt6qTUBX86sujXDMmjnHR7kMCQaSUfoMd7Bqpmkd27iVFF8apZgOjY3wJ8AsSBUt4 b422HvZV1fPIRTkozkoWGg7hFHBCaDzvF+9jmUzHpspSEtRaQvzkLErKZn/dKRrNDSjlAWgkSiaE xPFlfQEhcg1hco34/uuk59a2jBazWPeKDvJYyPwQPIL1X6bZaMPc2U1vr5NdhdsprGgRWwC+ibA9 +WxfPsV1jSREBHG0tEw8lYsNDeLlz/bRg4Xc8hqmZA4tRB8prmD97iLR0E8gQh3Isqyhs29+Pn4s SA1DJY0TXT2FEZ9aczenmvzYVtbAZdnD262czeqLxvLZ3lPc8dyHZCVE8ejauQONsC3tZh7821bu XzMLwTnms33lYnRXbFgQHz5+A7c98x5RZ2Liz2bptJF8cqqK3+8qotvhxfXjorg4LZJWWw9P7iim x+nNlLjBEZ9+tDIpy7MjSdBEsnpkDGWtFibHRIrisaO8nuMNZq4enfidYtWPxE+Owk/OjspCZkYl E6YOQG+z0tvrIFkXw9amUlLV3YwNTiBAomBF3EixeJ+g6kLr54PqG+NAxk4rO6orWJSehe8ww+0e zo9HsP6LCCdmM0YNHmc7enN45v2vUQ6zohHqH5UNrayenc3jbx5Ere5jSkaG+LN7L5/H7ANVtFrO tX2ZkJHEO7+J4/fvbGJMWvw5A8QCgr9VUbOBa8ZkuRN1fHxJCRJ6ieBAjeF7/S5C7ezSGTk8v24/ v75mBGFnDAXbrTZue2Y9z9yxmOgQ92qipumYWGgXHiOg8Zdhtdkx9do5VdnAvHHu30tgXko4uQ0W vqxpo6a9mtGRKuK0QVw3Lpwtp+vYUFjNb+ePHVJX00iVlBpbWJDgFsFwZQBOl2Cs50DfYeW+mVnD JlULtUEBofZ0Nofq8rF2deKNHzsrSwnVaOm023A4baJlcromGKWfEDDhRuItYV5ECgcay3i32Yi/ s4/DDftQe3lh7Ouj0xtmaYNRnHEi9fD98QjWjwhfwThPq6TBZCYqcGjneY3eQLvVTkmNkfSYAHbm lovzg4Lo7ThayhVzM1k6afj8RT9fH6QSBfZuB/7yc8d1xkaF8GFeuTst+azCsFLixZ7KZmK1MmbE R9Jg6SRMJT+nu7ufZz7YysTsMHYcLyYpaho1eiPrdhzlrstnDoiVQEKklhc/2kJabCxBGkEY/cTE Z2OHjbK6FuadmcO2dHby7McHCYjU8chFCRisDnZWGFBKjGJ9KDpAjqHewqtHy0jUKel2eDMuWo3J bsVs7yVPb6C1s5uT+hb8pcKYkBfOHhkHqhuZEueuZ3XYOpBJZOKKL6+5iiA/L6ICB1eUeYZqcfbv 2pHzaLZ2cLimkkSVGpOzh131pwlVqAhTqiizmpH1eRPgKxPj1Q7UVYu+W5dFxIqWzaPCIsRBbry9 2VVRQnro9/cw8zCIR7B+RAgfwhVT0vjjrmP8btncIT/buLdIPNE6XFTN7ZfN5nStgYaWFmLDwjhY 0Mhja8910+xHsJoRFlaSb7GQ1sklFDS1kRPh7jXaWlrHxsI67p+VLka5C13iwilafXsXE2ODsHTZ WV/QwtQ4KUm6EPHaWxRq6qsMfLDtACfLaqlo6OSBaycyIWPollKoTQkHDn/6eAevbSrg0N9vFut1 ggVyV487YWd/fikPv7qZ1x9YTURQoLgyFNY/QpyXUIdyD4J7sWqEYLLnwuawU9HWwZ8PlNDc6eJo bRe15kLmpwawJCOSeE1/sIMXrxzOo9rUyeqRSRTqLfi4WojQ+ZFrqOK6rME6oN7aJhbbFyZPEVe4 IQqlaI+sUwcQaDIxPW4UFnsbW2oKMXR5U9XXSqBaQ2OHhZmRMaSFR1LVahCdW6USKQ5HDy4v8PeV EKAaPufRw7fjEawfGWq5gpYO+5DvFVc30d5hFj+kl88ZIbpzRgSref9AEVL/OjECS0jHEepcQi2s v1u+n9Z2E/4yycAWbDjWTkjniZ15xFXpUUp80Mr9eXqxYI0soazFwmeFlahlfjRa2ihtNWMVcvxC tRyv72R7eSG9Tgcdfd68du8qPt55kt+/c4CUaDUPvLyLp25XkpUQNhD9Jaz4hNttK2aiVMh4Yd1+ kqICKatrotcp4Ym3P+d4STPrf3eDGHk2xKv+PM1pSomKYKWKYJWUx3Ye4YZJgbTbXRTV9aBwdFNh qMPU6cDa0Qp9To42dXGyspYEnYoeXyVjZL3kBMWwuTKXWE0IPi4nhUY9I4PjKW8zIPWTia4O8aoA fIWVmmDp4+NHoH8YK9KD2VNZyuxEt6vG2VSZjPjL5ByuLKWzrw+Hw0FGeOSwW1IP341HsH6E28Ju J5xu1hOlDeCr/Bre/PwQM2aM5et9ubSsP0xy3Gnw6+KaWTO55ekPuHPeWvGxBqOFLw6cZu0lE4Y8 p/C9pOiQ835Ivi6r5YOTDcxLCWHlCHeu49k9QxmhgptDO6tHp4oBoYJwCsVi+VmzcgX6VmR+jWJc 19ULJjI6NZa/frqfW5dPYuuRcu5+4UuiQiU0tfaREOHPuIwkSqpraDF3Ipd6c+W8kayYNUpcafU4 HLy7ZT/y7+HicDYbSgp474Seu6alsbdaz33TxlCm13Pj7zfw4l2LmZoZi9QnTiy+f15cj8bbxtys rCHPsbP2FA6HjWClmrFBoexuLCdLHUQnSqx9TurMJuQ+PgSddW3CNtoXL/bUVWPvsDA7NUMMpDXZ rLT0dJMZEoa/TIFSIhlwyPDwj+F5535kSPxkjIiJYt3JGmSyJsZH6Xj4hjm0djkxj09kfngIeeX1 1Na1sWlvHhqZD+UNegrK9dh7ukQb5DazRVxxGc1dYuuEENS6aNL8c15LDEStaMJgtfHKyknnvaZw tTA87BRHc87HkboWVmQPnlAmRgQhRETOG5fJ6JRIsWv/gWvd19Bh6ySvvI59eSX8+e7lvPnVsSGG fg0GA45eX9Et9ftQ1NLK67knGR+ZwNsrZ9FgaqPP0InMV0J2VAwv/Wwxf16/gxdvX8O+wmqa2kxU ebkYHR2BpcuGWqagt6+X4pZKnL3djIhKFxOgbT02XI1VpIVEo5C5u/SFrfDBumpRVEM7zGL9qqe3 VxTBRLmC0PBIUawsdhvby0pYGJ+MTCYTt4Ti3+9ZhwMefjgewfqRIQxA59U388rq2fj4+g4UwY22 LvGEa2pOknjr6ulhb14FLR0d/N/b25iZk8zolBg0/q384d3tYr0rPTYCs62LA6eM+MuH9gLVmKx8 mFcqitHK7G93aujudQ00dg5HaUuLuOIStoz9tJptTMx0j8LoNAEDYiWgUiiZOiKNL/YXig4Td6yc OeT5hG2VUHf7vgjup3OTg5mf4F4ddtudeHcNit3o5Hjiw0O48/l1XDptFGPTkhgj9aUPL1HUBBo7 WrD39jErLkcUK3u3hS+ri1BIFANiJaCWyZmXlCrOJ+bpGyg3tdHaZWe0LoRoXbC45cuvreaU1Yxa Lud4cyOOPiftzl6k3r5MCg0nVOtxE/1H8QjWjwjhf+l1Rwu5a3oKkm8ceQs/GxM52Kskk0iYNy5d vNUZTPz2jW1cs2AiI5KiWDx5qE3LnpOnqW02EhzgQibxxmAys/5YOUsnZ5MWEsDbWw6xYmYOCtnw w7uCm4HJfv7h6Cd2lvLIvBFDOuFDtAq2H6+noXUTP102C43/uc/thXtER3A9PZswXRDeXg6x9UGo xwmvL7QciC0X36C500qlqZUMoaP0DO3WTsLD+sQ5xnpDOzqNnBlZafhRyyVTh3di9fKWovMXivtu 0T1iqCVLo+aE0YC5uxON2Pzp/v2EYn+dsZUGmxVTdzfh/ipqrRbqu2w0GdvQSmUE+foyL0lYqQ0K p9VqFV0hhvez8PB98AjWjwovZqYliuGi30SnlIu34YgO0RKilfLVoSIunjy0JiPw4LWLeHnDIUam hFHT1MHp2nqK6q3EauTknerD3GE/r1gJlLZYWJh6fo8tg7WHWO3QdBehwC+4pE7JFlZ9wz+30Nk/ 7Pf9fIkODRKzE6+/YhrbShvEldC4aB2NHTaSgpSkBLlf78nd+Vw+IoYJUe4B6M5uK29uOcgdy2eJ DbhHiqqpamrldG2L2GbxyzVDT1/7sXUZkUrd77vT2U2duZmpGdMJVoeRpy8jRhNGnOAOeuY/j7CA QDJDw9leVSYmNweq1PR4e6HFi4YewW7Z65zEI39/f5LOOkTw8MPxCNaPCGGBEhv0/UNRBYQVilAg f/wnS7n/Lx8zZ0wKMqlk4IO1YW8u72w+wi+umsfEzCRe33SInl4rkcFaDp9qEAd1/Xy9qWzUExcW MmysmK+PBKOt45x0Hvfru9ApvGjptIiF6sHfxQuV3Ad9m3lg6Lmf8noDz6/7mrI6E3XN7SRFDR1P EVZql04fzeGyevaUG7h3xkhq2y2UtnQQE9TN1goDD2/rwM/XRYjKm7EREQMHCuv3HWHOmGQyY90C tnK2O8G5qrGZp97bx7GSGsamDR00tjm6ONXWxMUJ4eLveNJQhb/QCOrlg04RSKh/J/auNmHt574+ b2/C/FXiCjBAImW7vo5VqkwcnTZqbJ3MS0hhT3mJp8D+b8AjWBcwQvH6hXW7WTVnFCnR4Tj7fMQi ez+FlTXklelZ/3+3iv7p63ac4MWPDvPkrXOQSoTObCfTR6ZQrTfy1cF8ZLIqrrpoDNIzdZ1+skI1 vHGskU0ltSxOH/phP9HQyszE4CFi1e/t3uXoo9Xcx8sbd3L3FYN9YqV1BpZOTSY1Jo7g81jOCNdk NFl5aFKaWB9LCAwQbwITwuFJ9nNpWjpbyst5et9RlqQlcSyvmLc257N0Wia9YtvB4D/v+IhQ8fDi g+0nGJMaM0R4S40NdOEnrooONxaL/u0+PhIMNjP27g7qLQamxZw7vCysIifGJRFs0PNpRSFJqkBm xiWK8WQ6mVx0gQiQez5i/0o87+YFjFC8/tnKadz94hf84bYlmK128X9/YSu06cBJ/vjxYW5YnMWV D7+Co1dYtaSyYlYCs8ekUdXUzp6TxeJoUHy4jlWzx/LQ61+wobmbJZlBXD06XVzpCM2ccokvy7Nj eXBziWhFLHwgBYTVSLHBwOpRg6eDYmKOs48XPtrK5XMmiKnUT7+/m3c272fNAnewgjB65OPdR0yY u0l1OHafKKOkoR6FYPr+Dcw9Vor0dn45NZC0oPFUtNRy/e8+YGp2KL+5cQZbjlaKRf+wwKEiKoij MP/32hd7uH7x9IGa28jQRLHHanttITEKOTmRWZTp8/mqKg8v+sTVlr27HT+5ECXmfozYvNrXS3lr ObsMraicnUyOHSc+p/Ae1NusZHhOBP/leATrAkdwFr112WR++dJGsZ9pz8lyNh0oobzexPwJCQT4 B/L8ncsIPTPb9+wHm8WYLUunXVwF9fPSht3cs3IWiZGh5De18mVJLQarHbmfECThI6YoL0zTsrW0 notS3C4PgutoXbtjyPVUtZl58fNDXDkxRxQrgTtXTuGKh99h+qgUYkKDsXU7UEjPTZrux2y1is2u Jks3nd2dKM8aHhbaD7aV1/GL6YO1usTgGP5293IC/BWEBWpwSbQcaTKy5BuCJYjJnatm88DLX/DJ 3jy0EUL3u49QbaLC0suM2FBSdO5aXVJoNkGqFpwu2NfcSLGxGY3UQnpwIo2mVkpMlSglcnxcPQT4 +RKjjcJqb8PPV8XhhhpC/NXnNPB6+OfxCNYFTLejh/l3vYwwK23p7KagsouSWiMv3bucqJAgsZtc +JA+8PInVDR00Ou002H3Fk/lbrxkqliIP1hQQqDan70nG3jw2ovFFYQwniPchNaC3j6XOGMo9fGm x+lkZ0UjP9t4kJ9OTubRraXcPyuZXmcPr+SWkxnqz3sH62mqbSLriulDtk51zW0EadyFcluXQ+wV 60eYGRRcU6NDNIxOTeLp97dx8eRRbMo9ga27a4hgCQk/l6alnuNykHZWH9ek+Cie2JHLksxzXVSF beLvbr6EtW/tYY5SQXdvLx09Vq4dk0WzdVDAhfehu8/FZ7XlLEscRbBMLq6qatoq2GswMD8mhUC5 hh1VuUyPSMDl5c3B+lKauqXkqLTkRLm3zsLWtMrQTGygTgzJ9fDP4RGsCxjBzuWXV88VT+LWbT8h eravvmii2BBaVKUnr7wKs9Um+qP/bGW8GOigkst5d+tx/vDOV2hVffzqr1uZnBXLusdXn1NQF7aD wq0/7EHu7c2itFh8vFw8tq0QtcyHTcX1nGxsIykogI5uHx5anEP9qCge+NtX/OaGBaKHvMCkrCj0 RisJETIWTEjnkz0FXP7Q31EppIxKiSEyOIDimlZ+88rXzB2byIikEJoMDhpaOgj01w5xmfimWAmC 2mQ0EKVzF8VbrF1ihL3gvX72oLYQQNvY0YnZ3kdyTIC4zX07t5IWqzfr8uuQ+XqJdTLB+UHY1pW2 6VmdmIXN2cXxhirsfU6kvjIWxSQRqNRh7elCK5USoQ7F2edgb6+ES2IT0J0J2Ojq6uK4vh6FOIPo wuPN8M/jEawLlBUPviLWd16+fzVyqZ94CidYJV//f2+Dy0lydCjXLZokZgEKjp9nc8PiSRwurOSl T/eJPUqCm0KAamhbwvmoMZnYWdnCn5ZN4nh9E2WtTm4YlzREUEJS1WI3+emaZiZluZs5Z4yMo7LR JHp5CdcaFigV+63uXzOT4ACVuAoTam9TshPYsLeYJfe9zlM3LeWZj7/muVsuH1idDceJihae37CV d+69RrwvjAylhmh4dk8+d07NRnpmhvLt4wXUW5yMjvRnZ0U7bbaTqKVw9/RsgpRDWy/ym+rZXdlL TUcuUUo5OeGZKPxkSH18B4Xdy2tAPIX+rUxdBHn6Jmb4a+jr62NLRQmjI2OI0mi/V06kh+/GI1gX GIKlzPYTBRwvMfDKrxdh67EilWhQqly0mG08c/sycYv3XQjyMsYEAAAQyUlEQVTjOkK8/CufHxR9 5I0WCxqlmuAAKSOz0pDKpdSa2jF09tHVK0S0d4nF9hpTN9eNiSPUX8GEmDC6HM3DemxdPHn0kPs1 +h6m5vjQbGynpNbAlweLeewni9AoB8VUOOGMCw/h56tC+MmSCTz3wVZCY+Kwupz0ey0MR06CjvRR o8S624yEMAIVMq4fm87GwipO6FtQ+/uwr7yJeLWGa8a6t4nlbTbM9i72VdmZlmBiZ8UpVMLJqRBw 6g0amQSnExYkjCJYObQvrqOrgzJjDRanN/TaBr6fHRrBbruNrdVleDv7GBUZQ3TAULNED/8cHsG6 wCiqqya3rJbf3DyOZz/ei0SyC7mfgrhwNU/fdikqxferk+g0CrGH65EbF4hhEVqVDKvdwYnSGl77 ai8LZmSRFhrB+GhfbI5entpdRJfDxeUjI0kLcZ/ubT5dS0rQt0nJICvnZPHbN7aIUV1jUiN5+Iah YvVNBE+pB69bInpZ5TU3EBdw/mRqP29ffjEznQPVTbywL5/bJqfT0mPGJjWyrbaTFenJXJWTKprs 9ZMapOHN4+2MipKzpbKG28Zn4C+VESiEZOCi3mzhvs9z0crV4tbyjWPVLEwNJFKjRSlRkBSUBK4+ jjZXUdFWRaIunrJWAy3WDhRqNbNjYkSPLQ//WjyCdQEhjJr8/E/riQ7ScaTMSLtZQlyUH6OSQ2kx d4jZgwpZ37Arnm8yKiWBPScLuXLeZBIjg8WajcbfRURQAHXNVuYmJ4lxYQL7iqqZkxTE7KQY/nqo lP3Vx7gkPYpdFW2sGnFulp6j13HOhzVCpyErPpSfLJ2G9CyXh++ioaYRu0to2sw8758x2buwOZxE BvgjbTLw9qkScqKVLI1L4aCsGSc9Q8TK0ddDdIiM1FgvRoZocfl2EqsdFERh9GZjYQW3TIjn2c17 GJ8cS3NHO5GaRPHn3t4+qM906c+ITOTd4mOYbE6abF1cmpYtWkx7xOrfg0ewLiAEUfn7PVej0yg5 XJ5LQ6MXNyyYIXZU7zh5ipe+/IJr5swmPuy7gw3USgnNpg66HQ5UyFm/6zjZiZFigISXt4v1Owtp aTcyb2q6OHpz9ZhEJD4+3DM9k+P1ej4r0iP19eadQ0U0VtQQGxLMFfPG8f62I+SW1jEhI5Yr5g7a 3AgnbH5+kvPGsdt77Jwsb2BSRtKQ7wvP+9G+0zC8maqY9vPWySIiNN5ijWlCdDjxWi1hKqGz3kU3 HWRpRw38+WprK2XmRlQ+MqLVNrx9TLTZhrZmCNwxxd0hH6FWsS63mCvGu5N6vomvj4x54cnY8GJs dP+1ez5W/y487+wFhHAknxjuPr5vMzpJDHMXtIWeqJTwcD7YXMDRwmpiQoK+c5UlnP6F6zQEadR0 dnWLNaWl03LE4vA1C8ZypKiMKpeM13IreGDOSFGs+hkTFUZGiI7StjZ2lDZy31UXs37nUZ79cBfl da385vr5PPC3T5iek4hWrcZgstDUZhADMVx+VtrMVpZMzsHe001BVRPxEWq+PFiOy8uBtauDnSeq GZkczJyRo1DKfcg7bebFDZtZOWsqfd5Oaix6ovwjWFdYwLE6K0vTY1mZca7jhLHbitxHSXtPJ/Wd rbT39FHf2cLK+LHUmeop9lKQqA7B3N1Iq7WTzi47aoUStUw68P4lhQo1KC+e3rKfv1y5YNjRpQid Z5z5P4VHsC5Q9p9q4O4VZ2+TfHj8JwvZuDefLYeLWTTp/FsogQCVnBOlTRw4VcquE1Wi6V//NkYu k9KrUpPop2TliMQhq6KyegNfHSzA2t3NxIkjWTkyVfStWjl7nOjHfqS4iq+PlpIRFy0KWHtHjyiI wsjP7ZfNxNvHmz5XD3XNHZyqaGbH8QqunJ/M0okT2JVXwp4Tjdy8ZDw7Tpzm5ufeYPboJBZMimT7 8Qo+zati2dw00sLi2GGoZElqMvdOHr6G1utykNvWgK3XTpPNjMpPRbDMjwnBUW7LHpeD1alCZ7qL I/pqPi08SbgiHHtnBaPj40gMdYvQrpJy0sN0RGmUbMwvZ2nO8OnNHv4zeATrAsXh8KajyzpwP/6M F/vVC8Zzy1PrmD4yQQwgPR9KmZw/37OaFQ+8RVAATM4e9Kv6tKAGe6+Na0ZniaeSbZYOjp+u4KOd Jbhcffz88mk8/MpWvj5SKtoYCwgrkrTYUPEm8NUhYawljFpTE5NSM8lOcGcI9jMqEeaO7mHhlEhG xLjFNS0mmA/37iY2OJLrL4rkmQ/28tp916CWq4gLLmbDgcMk+Wq5KPHbY8eEovnXtWXE+MvIiBhM JTqbOJ27HtXZbSbA14VJ7cP85Ej8fN2rVoETNXU8u6eK9ddPRyqR8/7B47R02Aj9HqewHv49eATr AuXXa2byxubjZMfGU29opanNitHSxdHiehIjQ9h6pJDlM8ae9/GCxYxWpSYpSiuaBvbT6+yjuqaO heMyeONoJXv35ZIdGSiaA/7upgWE6dwjPp8+cRM7jhfw4fY8Lp+TjanDRohWIxoF6o0mvj5axZO3 Luah16qYljX8GI7EVzIgVgI6tYqbFy0cuP/I2um8v/0ENy+eTrBWTmVTK01mi3j48G2GgvqONrR0 kqEbjAs7H0qphuzQVNR+gqHfIO3WDk41mrh1WoYoVgJXTnLXtTz89/AI1gWGYGmy+dApNh8uEWsr v33jCwymLoIDJEzKiubKuZli3Ptv39jMJ7sKxMbM7MRzR1Qsnb1sO3ociV8vNy8ddPysatLz9t4G gsIjOFrXRkBCFCtnZRKpPrdxc1pOGgWVu1nxwBuMz0ik2WjktV9fw4Y9xcwZG0dDWxtF1c3EhX6/ 1gehfubr5f4nWdts5rkPD/LOr24U78eFadBqgni30MSE1FayzqzkvklxazUH9TUsSxxqYvhtxAcM DWPde7qUP+6v5eEFI0gPP/+Atof/PB7BusAQVkAqpYwbF4/n5Y2HmTcui8nZ7u3N2fzu5qXo20z8 5ZOD7M0rY8WsCYRo1VhtVhRyBSOSIvjz+r1irSs8KICPd+ZypKhcHE7e9svFhAaqidfKqDJ18cmu kxg7GnD1ynnk2qUDryF0p/9s5RzxVlRTx2Ovb+XNzQf5eFce4zOjOVpWy8M3TkV+ZoXyfanQN/KX Dbv56JG1RGjdJ569gm2xXM1NM8PZWtuIQiVYzpwrJmEyKdemTxLtYf5R4oKCWHfDt9tGe/jv4BGs Cwy5VMLMUem8tfmoaGs8nFj1E6bTsnxGOq9+cZCH/r6RNnMXaqUv2YnhXDx5DBeNT2LVnNG8+NEu kiI1pMeFc/3F0wYePy0+krFRTvoyorB2J7Pm0fXYrrCjkMoxWtt58v3NdPU4OFVuIDhQxiPXL+X1 rTv50z1L+GTfUTburuShqxf/4N9x98lSJqYnDYiVwDN7TzE7VQtGCeMzAvB2mQXDmHMeq/U/N7r+ hxKt83Sn/1jxCNYFSEVDMy9vOML7j678zj87MiWeP949tEj9h3d38fKG3WQlhJNfXou9u4dFkwd7 lfoRCun+UuFEzI/9hWXY+qw8/u6njEmL4MTpFmKjfDC1+bPj2TViMf4Xr7zH6MQU0qIjuWN5ALW9 m6kwdpCsG2rSJ6T7yCRC4vPwPVnXXjSdFovQLOom31AjpjyvzkznV698wqPjlyLxcv6Ad8zD/woe wbqAqNY3Ea4TbF/AX/79h2mttk6sdhuhgW4DukumxvHEWw1sOlDKHz8+xnWLMiiorEAbqKGopYcp cToUfkMj7X2VClYsnMplo1LEVdXMzNG8umU749KixOfceaKC3l4XV81xN4sKTZy3z5/CX44c5bfz JvPm5l0cKqzDCx/SosO5e+X883a8C0IZFjC4etqY38RVo1PRqbTcumQGYf46zzDx/6d4BOsCoqSm jVue2Yi1x4VaK2dfXhk9jgoqmwycrmkjKiIYfz8XNy+bhkqYiXO5OHCqkvv+spkRyUFEBWnEsRKF VMavrp5OiFbFg3/bRHRoKOt2lVCPD+PT4ynUG1mUHk20Rik6Hwjd5I12X2aPSCQ+LJgOu431+w6J 84jzx7qL2+Mzwpmes3rgWoVTvKyQMKrbD3HTB1uxnm5g4+O3YbGb8fOV/KDxnIfmDra5j0oc2gnv 4f8vPIJ1AREWHcKly6dyvMrImmzBlUCNQubLshkjyG0ysKu0jWxVL7c9u47pI5JoMRmZMzaTxHgZ 966eRnSQO2QiwF8prlBe3rCfy2aNZO7YTKJD5NTqrSyblEqV0UKjxconp6pYlhXBsXoLMl8XOeHR 4nW8v2sPUh9/1s6fPXBt/jL3KWJDm0FcCQm2NgJxWgV3TsjiKdNWDpWUMCEtlZ35JxmVkIzWkyDj 4QfiEawLiPSQAHLCg3nDr5gxqfH4nxGFr8vqKDaYefTisfz18z3cvHwMC8YM9mCVNdfwwe4jPHr1 ioEMwPqWNppNFm6+1O2z7ujtQSoR7IIhIVAt3mS+Mp7YeYr5KaEszxKGnL1obDVT19LKlTPP7XES 3DUfe3sTT928Chl+HG+qJVIZTpw2gudvXcPPX3qHXSerEDz9xicP+sB78PB98QjWBUR/mk1maBBP 7SrgrmmpFDUbKW/t4KYJ7oDQQJU/Ww/WDRGsWy5eSEldgzgk3S9Yn+8rYNn0wVDRAP8Ayutrh7ze 6MgAfjEji89O1WHt7qTF2Mlrm3dz2fRJZMQMzSl0OB08/dGXTMtKQy1XYu2y88H+Uh5ZOmWgBeKF 29awMy8PqbcGuXRojcyDh++DR7AuQMZHh9Bo7mTZm4dZmKbmvpmDHdgmWzMJMT5DMgSFr1OjIsT7 wtdbjxRT2djGTUumDjzuYEE18WIog2Bj04ej14mvjzc79p6kytxB1qu7yQ7v5d7VixiTPHjqKDxf T6+TE5Wn8XL6s2buJPH7BmMnIwJ9UfrJh/ixzxvl6Rb38I/jEawLlDnJYVyUGnHOaV5bex8NRj0v fPI1tyyZisxPTn5tMeXVPQQG+BGokrIjt5RHblyEz1kODHPGpnCitF78+pN9h6nU6+nr86Kg3MAf 71yFQ/8596+ZzZtfHePrvJPMyslgbGoMe/LLOVhUQWZMDFcvGMzuM3e1kRM/NMPQg4d/Fo9gXaCo pMN3jzeZ2rh71Sz25dfw6JtbeGLtpaRFJHO4cDf5tUa+3F/FPSuni46eZyOVSOlx9PD65j2cqmjl yZsvEUMbBAztFlLjAkmLjUQXfIS3N59GJvHl5j98xg1L03js2uXIJEM7y0fGp7ijrD14+BfiEaz/ IfSmdmxd3SSGJJI4N5Gn1n3FHzds5ZKJo7hs+hixnUHhvQOlQslfN23D3t0l1rSMFjs1jTYMlmYu mTiRx9cuQHKWY+jb2w4wPtNds7r3smUY2/twOf1YdVEMB/ObMcxvIyZoaIe5J3TBw78Dj2D9D1HV 1Mr0UVED9+9ZsYA3tx7iuj+8RrjOn/bODsqrXdy+qpfLp88cqGkFqhV02Lp5Y8sB1l7srkH18+qW raiVfszOGSzQP3jVEtGpVCrxEn3gVQpPgJWH/wwewfqfwoW3UzMkheayGVmi4dySKanc9PR6Fk9T cMWMWYRq1QMF9ryKOkobGjhWUURP70zR9qX/5M8bGTcuHDfEtE4h8xNv4tfn2Zp68PDvwCNY/0Ps KSjisqlDzc8F87tr509gd34hY9JCuWfl/CFeUj29Dixd7aRFxdKUZGPLsVNcMtF9kufn48f18wcT nD144L/M/wPShakIzySffAAAAABJRU5ErkJggg==