20240917 13581600 1.0 FALSE PB_EDUC2019 002 file://\\TECNOTE01\C$\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\00 - EDUCAÇÃO\02 - SHP_GEODATABASE\DadosEduc.gdb Local Area Network 0.000 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,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]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> WGS_1984_Web_Mercator_Auxiliary_Sphere FeatureClassToFeatureClass C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp C:\Users\harlansilva\git\observatorio_pb\05_indicadoresFinais\indicadores_calculados.gdb municipios_pb # "cod_municipio "cod_municipio" true true false 7 Text 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,CD_MUN,-1,-1;nm_municipio "nm_municipio" true true false 50 Text 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,NM_MUN,-1,-1;sigla_uf "sigla_uf" true true false 2 Text 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,SIGLA_UF,-1,-1;area_km2 "area_km2" true true false 12 Float 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,AREA_KM2,-1,-1" # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\harlansilva\git\observatorio_pb\05_indicadoresFinais\indicadores_calculados.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>municipios_pb</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>cod_municipio_int</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> AddField municipios_pb qtd_eleitores LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb dens_demografica_km2_hab DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb bioma TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb tx_crescimento_demografico_10_22 DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb nivel_hierarquico_rede_urbana TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb nm_arranjo_populacional TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb nm_regImediata TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb nm_regIntermediaria TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb idhm_2010 DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb dens_demografica_km2_hab DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_homens DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_mulheres DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_branca DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_preta DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_amarela DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_parda DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_indigena DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_0_6_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_7_10_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_11_14_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_15_19_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_20_29_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_30_49_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_50_64_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_acima_65_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb tx_nao_alfabetizadas DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_quilombola_dentro_territorios LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_quilombola_fora_territorios LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_quilombola_total LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_indigena_dentro_terras LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_indigena_fora_terras LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_indigena_total LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb total_domicilios_particulares LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb dom_agua_RedeGeral DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb dom_esgoto_Rede DOUBLE # # # # NULLABLE NON_REQUIRED # ExportFeatures municipios_pb "C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\paraiba_shape.shp" # NOT_USE_ALIAS "cod_municipio "cod_municipio" true true false 7 Text 0 0,First,#,municipios_pb,cod_municipio,0,6;nm_municipio "nm_municipio" true true false 50 Text 0 0,First,#,municipios_pb,nm_municipio,0,49;sigla_uf "sigla_uf" true true false 2 Text 0 0,First,#,municipios_pb,sigla_uf,0,1;area_km2 "area_km2" true true false 4 Float 0 0,First,#,municipios_pb,area_km2,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,municipios_pb,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,municipios_pb,Shape_Area,-1,-1;pop_residente_2022 "pop_residente_2022" true true false 4 Long 0 0,First,#,municipios_pb,pop_residente_2022,-1,-1;qtd_eleitores "qtd_eleitores" true true false 4 Long 0 0,First,#,municipios_pb,qtd_eleitores,-1,-1;bioma "bioma" true true false 100 Text 0 0,First,#,municipios_pb,bioma,0,99;tx_crescimento_demografico_10_22 "tx_crescimento_demografico_10_22" true true false 8 Double 0 0,First,#,municipios_pb,tx_crescimento_demografico_10_22,-1,-1;nivel_hierarquico_rede_urbana "nivel_hierarquico_rede_urbana" true true false 100 Text 0 0,First,#,municipios_pb,nivel_hierarquico_rede_urbana,0,99;nm_arranjo_populacional "nm_arranjo_populacional" true true false 100 Text 0 0,First,#,municipios_pb,nm_arranjo_populacional,0,99;nm_regImediata "nm_regImediata" true true false 100 Text 0 0,First,#,municipios_pb,nm_regImediata,0,99;nm_regIntermediaria "nm_regIntermediaria" true true false 100 Text 0 0,First,#,municipios_pb,nm_regIntermediaria,0,99;idhm_2010 "idhm_2010" true true false 8 Double 0 0,First,#,municipios_pb,idhm_2010,-1,-1;dens_demografica "dens_demografica" true true false 8 Double 0 0,First,#,municipios_pb,dens_demografica,-1,-1;pop_homens "pop_homens" true true false 8 Double 0 0,First,#,municipios_pb,pop_homens,-1,-1;pop_mulheres "pop_mulheres" true true false 8 Double 0 0,First,#,municipios_pb,pop_mulheres,-1,-1;pop_branca "pop_branca" true true false 8 Double 0 0,First,#,municipios_pb,pop_branca,-1,-1;pop_preta "pop_preta" true true false 8 Double 0 0,First,#,municipios_pb,pop_preta,-1,-1;pop_amarela "pop_amarela" true true false 8 Double 0 0,First,#,municipios_pb,pop_amarela,-1,-1;pop_parda "pop_parda" true true false 8 Double 0 0,First,#,municipios_pb,pop_parda,-1,-1;pop_indigena "pop_indigena" true true false 8 Double 0 0,First,#,municipios_pb,pop_indigena,-1,-1;pop_0_6_anos "pop_0_6_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_0_6_anos,-1,-1;pop_7_10_anos "pop_7_10_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_7_10_anos,-1,-1;pop_11_14_anos "pop_11_14_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_11_14_anos,-1,-1;pop_15_19_anos "pop_15_19_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_15_19_anos,-1,-1;pop_20_29_anos "pop_20_29_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_20_29_anos,-1,-1;pop_30_49_anos "pop_30_49_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_30_49_anos,-1,-1;pop_50_64_anos "pop_50_64_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_50_64_anos,-1,-1;pop_acima_65_anos "pop_acima_65_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_acima_65_anos,-1,-1;tx_nao_alfabetizadas "tx_nao_alfabetizadas" true true false 8 Double 0 0,First,#,municipios_pb,tx_nao_alfabetizadas,-1,-1;pop_quilombola_dentro_territorios "pop_quilombola_dentro_territorios" true true false 4 Long 0 0,First,#,municipios_pb,pop_quilombola_dentro_territorios,-1,-1;pop_quilombola_fora_territorios "pop_quilombola_fora_territorios" true true false 4 Long 0 0,First,#,municipios_pb,pop_quilombola_fora_territorios,-1,-1;pop_quilombola_total "pop_quilombola_total" true true false 4 Long 0 0,First,#,municipios_pb,pop_quilombola_total,-1,-1;pop_indigena_dentro_terras "pop_indigena_dentro_terras" true true false 4 Long 0 0,First,#,municipios_pb,pop_indigena_dentro_terras,-1,-1;pop_indigena_fora_terras "pop_indigena_fora_terras" true true false 4 Long 0 0,First,#,municipios_pb,pop_indigena_fora_terras,-1,-1;pop_indigena_total "pop_indigena_total" true true false 4 Long 0 0,First,#,municipios_pb,pop_indigena_total,-1,-1;total_domicilios_particulares "total_domicilios_particulares" true true false 4 Long 0 0,First,#,municipios_pb,total_domicilios_particulares,-1,-1;dom_agua_RedeGeral "dom_agua_RedeGeral" true true false 8 Double 0 0,First,#,municipios_pb,dom_agua_RedeGeral,-1,-1;dom_esgoto_Rede "dom_esgoto_Rede" true true false 8 Double 0 0,First,#,municipios_pb,dom_esgoto_Rede,-1,-1;pib_per_capita_milRS_hab "pib_per_capita_milRS_hab" true true false 8 Double 0 0,First,#,municipios_pb,pib_per_capita_milRS_hab,-1,-1;pib_municipal "pib_municipal" true true false 4 Long 0 0,First,#,municipios_pb,pib_municipal,-1,-1;vab_Industria "vab_Industria" true true false 4 Long 0 0,First,#,municipios_pb,vab_Industria,-1,-1;vab_Industria_perc "vab_Industria_perc" true true false 8 Double 0 0,First,#,municipios_pb,vab_Industria_perc,-1,-1;vab_Agropecuaria "vab_Agropecuaria" true true false 4 Long 0 0,First,#,municipios_pb,vab_Agropecuaria,-1,-1;vab_Agropecuaria_perc "vab_Agropecuaria_perc" true true false 8 Double 0 0,First,#,municipios_pb,vab_Agropecuaria_perc,-1,-1;vab_Servicos "vab_Servicos" true true false 4 Long 0 0,First,#,municipios_pb,vab_Servicos,-1,-1;vab_Servicos_perc "vab_Servicos_perc" true true false 8 Double 0 0,First,#,municipios_pb,vab_Servicos_perc,-1,-1;vab_AdmPublica "vab_AdmPublica" true true false 4 Long 0 0,First,#,municipios_pb,vab_AdmPublica,-1,-1;vab_AdmPublica_perc "vab_AdmPublica_perc" true true false 8 Double 0 0,First,#,municipios_pb,vab_AdmPublica_perc,-1,-1;estab_religiosos "estab_religiosos" true true false 4 Long 0 0,First,#,municipios_pb,estab_religiosos,-1,-1;estab_Saude "estab_Saude" true true false 4 Long 0 0,First,#,municipios_pb,estab_Saude,-1,-1;estab_Educacao "estab_Educacao" true true false 4 Long 0 0,First,#,municipios_pb,estab_Educacao,-1,-1;escolas_Fund_publica "escolas_Fund_publica" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Fund_publica,-1,-1;escolas_Fund_Privada "escolas_Fund_Privada" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Fund_Privada,-1,-1;escolas_Fund_Total "escolas_Fund_Total" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Fund_Total,-1,-1;escolas_Medio_Publica "escolas_Medio_Publica" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Medio_Publica,-1,-1;escolas_Medio_Privada "escolas_Medio_Privada" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Medio_Privada,-1,-1;escolas_Medio_Total "escolas_Medio_Total" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Medio_Total,-1,-1;creche_Publica "creche_Publica" true true false 4 Long 0 0,First,#,municipios_pb,creche_Publica,-1,-1;creche_Privada "creche_Privada" true true false 4 Long 0 0,First,#,municipios_pb,creche_Privada,-1,-1;creche_Total "creche_Total" true true false 4 Long 0 0,First,#,municipios_pb,creche_Total,-1,-1;criancas_0a3_creche_perc "criancas_0a3_creche_perc" true true false 8 Double 0 0,First,#,municipios_pb,criancas_0a3_creche_perc,-1,-1;criancas_4a6_preEscola_perc "criancas_4a6_preEscola_perc" true true false 8 Double 0 0,First,#,municipios_pb,criancas_4a6_preEscola_perc,-1,-1;homicidios_total "homicidios_total" true true false 4 Long 0 0,First,#,municipios_pb,homicidios_total,-1,-1;homicidios_taxa "homicidios_taxa" true true false 8 Double 0 0,First,#,municipios_pb,homicidios_taxa,-1,-1;homicidios_jovens_total "homicidios_jovens_total" true true false 4 Long 0 0,First,#,municipios_pb,homicidios_jovens_total,-1,-1;homicidios_jovens_taxa "homicidios_jovens_taxa" true true false 8 Double 0 0,First,#,municipios_pb,homicidios_jovens_taxa,-1,-1;familias_CadUnico "familias_CadUnico" true true false 4 Long 0 0,First,#,municipios_pb,familias_CadUnico,-1,-1;familias_PBF "familias_PBF" true true false 4 Long 0 0,First,#,municipios_pb,familias_PBF,-1,-1;PBF_valorMedio_beneficio "PBF_valorMedio_beneficio" true true false 8 Double 0 0,First,#,municipios_pb,PBF_valorMedio_beneficio,-1,-1;familias_PBFnoCadUnico_perc "familias_PBFnoCadUnico_perc" true true false 8 Double 0 0,First,#,municipios_pb,familias_PBFnoCadUnico_perc,-1,-1;investPublico_perCapita "investPublico_perCapita" true true false 8 Double 0 0,First,#,municipios_pb,investPublico_perCapita,-1,-1;dens_AcessosInternet "dens_AcessosInternet" true true false 8 Double 0 0,First,#,municipios_pb,dens_AcessosInternet,-1,-1" # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\03 - PARAÍBA</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>paraiba_shape.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Shape_Leng</field_name><field_name>Shape_Area</field_name><field_name>bioma</field_name><field_name>nivel_hier</field_name><field_name>nm_arranjo</field_name><field_name>pop_branca</field_name><field_name>pop_preta</field_name><field_name>pop_amarel</field_name><field_name>pop_parda</field_name><field_name>pop_indige</field_name><field_name>pop_0_6_an</field_name><field_name>pop_7_10_a</field_name><field_name>pop_11_14_</field_name><field_name>pop_15_19_</field_name><field_name>pop_20_29_</field_name><field_name>pop_30_49_</field_name><field_name>pop_50_64_</field_name><field_name>pop_acima_</field_name><field_name>pop_quilom</field_name><field_name>pop_quil_1</field_name><field_name>pop_quil_2</field_name><field_name>pop_indi_1</field_name><field_name>pop_indi_2</field_name><field_name>pop_indi_3</field_name><field_name>total_domi</field_name><field_name>dom_agua_R</field_name><field_name>dom_esgoto</field_name><field_name>pib_per_ca</field_name><field_name>vab_Indust</field_name><field_name>vab_Indu_1</field_name><field_name>vab_Agrope</field_name><field_name>vab_Agro_1</field_name><field_name>vab_Servic</field_name><field_name>vab_Serv_1</field_name><field_name>vab_AdmPub</field_name><field_name>vab_AdmP_1</field_name><field_name>estab_reli</field_name><field_name>estab_Saud</field_name><field_name>criancas_0</field_name><field_name>criancas_4</field_name><field_name>homicidios</field_name><field_name>homicidi_1</field_name><field_name>homicidi_2</field_name><field_name>homicidi_3</field_name><field_name>familias_C</field_name><field_name>familias_P</field_name><field_name>PBF_valorM</field_name><field_name>familias_1</field_name><field_name>investPubl</field_name><field_name>dens_Acess</field_name></DeleteField></workflow></operationSequence> ExportFeatures paraiba_shape "C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\00 - EDUCAÇÃO\02 - SHP_GEODATABASE\PB_EDUC2019.shp" # NOT_USE_ALIAS "cod_munici "cod_munici" true true false 7 Text 0 0,First,#,paraiba_shape,paraiba_shape.cod_munici,0,6;nm_municip "nm_municip" true true false 50 Text 0 0,First,#,paraiba_shape,paraiba_shape.nm_municip,0,49;sigla_uf "sigla_uf" true true false 2 Text 0 0,First,#,paraiba_shape,paraiba_shape.sigla_uf,0,1;area_km2 "area_km2" true true false 13 Float 0 0,First,#,paraiba_shape,paraiba_shape.area_km2,-1,-1;pop_reside "pop_reside" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.pop_reside,-1,-1;qtd_eleito "qtd_eleito" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.qtd_eleito,-1,-1;tx_crescim "tx_crescim" true true false 19 Double 0 0,First,#,paraiba_shape,paraiba_shape.tx_crescim,-1,-1;nm_regImed "nm_regImed" true true false 100 Text 0 0,First,#,paraiba_shape,paraiba_shape.nm_regImed,0,99;nm_regInte "nm_regInte" true true false 100 Text 0 0,First,#,paraiba_shape,paraiba_shape.nm_regInte,0,99;idhm_2010 "idhm_2010" true true false 19 Double 0 0,First,#,paraiba_shape,paraiba_shape.idhm_2010,-1,-1;dens_demog "dens_demog" true true false 19 Double 0 0,First,#,paraiba_shape,paraiba_shape.dens_demog,-1,-1;pop_homens "pop_homens" true true false 19 Double 0 0,First,#,paraiba_shape,paraiba_shape.pop_homens,-1,-1;pop_mulher "pop_mulher" true true false 19 Double 0 0,First,#,paraiba_shape,paraiba_shape.pop_mulher,-1,-1;tx_nao_alf "tx_nao_alf" true true false 19 Double 0 0,First,#,paraiba_shape,paraiba_shape.tx_nao_alf,-1,-1;pib_munici "pib_munici" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.pib_munici,-1,-1;estab_Educ "estab_Educ" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.estab_Educ,-1,-1;escolas_Fu "escolas_Fu" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.escolas_Fu,-1,-1;escolas__1 "escolas__1" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.escolas__1,-1,-1;escolas__2 "escolas__2" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.escolas__2,-1,-1;escolas_Me "escolas_Me" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.escolas_Me,-1,-1;escolas__3 "escolas__3" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.escolas__3,-1,-1;escolas__4 "escolas__4" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.escolas__4,-1,-1;creche_Pub "creche_Pub" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.creche_Pub,-1,-1;creche_Pri "creche_Pri" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.creche_Pri,-1,-1;creche_Tot "creche_Tot" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.creche_Tot,-1,-1;NM_MUNICIPIO "NM_MUNICIPIO" true true false 255 Text 0 0,First,#,paraiba_shape,PB_EDUC2019$.NM_MUNICIPIO,0,254;CO_MUNICIPIO "CO_MUNICIPIO" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.CO_MUNICIPIO,-1,-1;QT_ESCOLAS2019 "QT_ESCOLAS2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_ESCOLAS2019,-1,-1;QT_ESCURB2019 "QT_ESCURB2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_ESCURB2019,-1,-1;QT_ESCRURAL2019 "QT_ESCRURAL2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_ESCRURAL2019,-1,-1;QT_MAT_BAS2019 "QT_MAT_BAS2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS2019,-1,-1;QT_MAT_INF2019 "QT_MAT_INF2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_INF2019,-1,-1;QT_MAT_INF_CRE2019 "QT_MAT_INF_CRE2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_INF_CRE2019,-1,-1;QT_MAT_INF_PRE2019 "QT_MAT_INF_PRE2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_INF_PRE2019,-1,-1;QT_MAT_FUND2019 "QT_MAT_FUND2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_FUND2019,-1,-1;QT_MAT_FUND_AI2019 "QT_MAT_FUND_AI2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_FUND_AI2019,-1,-1;QT_MAT_FUND_AF2019 "QT_MAT_FUND_AF2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_FUND_AF2019,-1,-1;QT_MAT_MED2019 "QT_MAT_MED2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_MED2019,-1,-1;QT_MAT_PROF_TEC2019 "QT_MAT_PROF_TEC2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_PROF_TEC2019,-1,-1;QT_MAT_EJA2019 "QT_MAT_EJA2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_EJA2019,-1,-1;QT_MAT_EJA_FUND2019 "QT_MAT_EJA_FUND2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_EJA_FUND2019,-1,-1;QT_MAT_EJA_MED2019 "QT_MAT_EJA_MED2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_EJA_MED2019,-1,-1;QT_MAT_BAS_FEM2019 "QT_MAT_BAS_FEM2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_FEM2019,-1,-1;QT_MAT_BAS_MASC2019 "QT_MAT_BAS_MASC2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_MASC2019,-1,-1;QT_MAT_BAS_BRANCA2019 "QT_MAT_BAS_BRANCA2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_BRANCA2019,-1,-1;QT_MAT_BAS_PRETA2019 "QT_MAT_BAS_PRETA2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_PRETA2019,-1,-1;QT_MAT_BAS_PARDA2019 "QT_MAT_BAS_PARDA2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_PARDA2019,-1,-1;QT_MAT_BAS_AMARELA2019 "QT_MAT_BAS_AMARELA2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_AMARELA2019,-1,-1;QT_MAT_BAS_INDIGENA2019 "QT_MAT_BAS_INDIGENA2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_INDIGENA2019,-1,-1;QT_MAT_BAS_0_32019 "QT_MAT_BAS_0_32019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_0_32019,-1,-1;QT_MAT_BAS_6_102019 "QT_MAT_BAS_6_102019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_6_102019,-1,-1;QT_MAT_BAS_4_52019 "QT_MAT_BAS_4_52019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_4_52019,-1,-1;QT_MAT_BAS_11_142019 "QT_MAT_BAS_11_142019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_11_142019,-1,-1;QT_MAT_BAS_15_172019 "QT_MAT_BAS_15_172019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_15_172019,-1,-1;QT_MAT_BAS_18_MAIS2019 "QT_MAT_BAS_18_MAIS2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_18_MAIS2019,-1,-1;QT_MAT_BAS_D2019 "QT_MAT_BAS_D2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_D2019,-1,-1;QT_MAT_BAS_N2019 "QT_MAT_BAS_N2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_N2019,-1,-1;QT_MAT_BAS_EAD2019 "QT_MAT_BAS_EAD2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_MAT_BAS_EAD2019,-1,-1;QT_DOC_INF2019 "QT_DOC_INF2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_INF2019,-1,-1;QT_DOC_BAS2019 "QT_DOC_BAS2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_BAS2019,-1,-1;QT_DOC_INF_CRE2019 "QT_DOC_INF_CRE2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_INF_CRE2019,-1,-1;QT_DOC_INF_PRE2019 "QT_DOC_INF_PRE2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_INF_PRE2019,-1,-1;QT_DOC_FUND2019 "QT_DOC_FUND2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_FUND2019,-1,-1;QT_DOC_FUND_AF2019 "QT_DOC_FUND_AF2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_FUND_AF2019,-1,-1;QT_DOC_FUND_AI2019 "QT_DOC_FUND_AI2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_FUND_AI2019,-1,-1;QT_DOC_MED2019 "QT_DOC_MED2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_MED2019,-1,-1;QT_DOC_PROF_TEC2019 "QT_DOC_PROF_TEC2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_PROF_TEC2019,-1,-1;QT_DOC_EJA2019 "QT_DOC_EJA2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_EJA2019,-1,-1;QT_DOC_EJA_FUND2019 "QT_DOC_EJA_FUND2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_EJA_FUND2019,-1,-1;QT_DOC_EJA_MED2019 "QT_DOC_EJA_MED2019" true true false 8 Double 0 0,First,#,paraiba_shape,PB_EDUC2019$.QT_DOC_EJA_MED2019,-1,-1;ObjectID "ObjectID" false true false 4 Long 0 9,First,#,paraiba_shape,PB_EDUC2019$.ObjectID,-1,-1" # CopyFeatures PB_EDUC2019 "C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\00 - EDUCAÇÃO\02 - SHP_GEODATABASE\DadosEduc.gdb\Educação\PB_EDUC2019" # # # # AlterField "Censo Educação 2019" cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" area_km2 # "Área (km²)" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" pop_reside # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" qtd_eleito # Eleitores "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" tx_crescim # "Taxa Crescimento Demográfico 2010-2022" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" nm_regImed # "Nível Hierárquico na Rede Urbana" Text 100 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" nm_regInte # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" idhm_2010 # "IDH-M 2010" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" dens_demog # "Densidade Demográfica" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" pop_mulher # "População Mulheres" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" tx_nao_alf # "Taxa de Não Alfabetizados" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" pib_munici # "PIB Municipal" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" estab_Educ # "Estabelecimentos de Educação" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" escolas_Fu # "Escolas de Ensino Fundamental Públicas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" escolas__1 # "Escolas de Ensino Fundamental Privadas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" escolas__2 # "Escolas de Ensino Fundamental Total" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" escolas_Me # "Escolas de Ensino Médio Públicas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" escolas__3 # "Escolas de Ensino Médio Privadas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" escolas__4 # "Escolas de Ensino Médio Total" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" creche_Pub # "Creches Privadas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" creche_Pri # "Creches Públicas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" creche_Tot # "Creches Total" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" NM_MUNIC_1 # "Nome do Município" Text 254 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" CO_MUNICIP # "Código do Município" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_ESCOLAS # "Total de Escolas" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_ESCURB2 # "Total de Escolas em Zona Urbana" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_ESCRURA # "Total de Escolas em Zona Rural" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_BAS # "Matrículas na Educação Básica" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_INF # "Matrículas na Educação Infantil" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_I_1 # "Matrículas na Educação Infantil - Creche" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_I_2 # "Matrículas na Educação Infantil - Pré-Escola" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_FUN # "Matrículas no Ensino Fundamental" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_F_1 # "Matrículas no Ensino Fundamental - Anos Iniciais" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_F_2 # "Matrículas no Ensino Fundamental - Anos Finais" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_MED # "Matrículas no Ensino Médio" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_PRO # "Matrículas na Educação Profissional Técnica" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_EJA # "Matrículas na Educação de Jovens e Adultos (EJA)" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_E_1 # "Matrículas no EJA - Ensino Fundamental" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_E_2 # "Matrículas no EJA - Ensino Fundamental - Anos Iniciais" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_B_1 # "Matrículas no EJA - Ensino Fundamental - Anos Finais" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_B_2 # "Matrículas no EJA - Ensino Médio" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_B_3 # "Matrículas na Educação Básica - Cor/Raça Branca" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_B_4 # "Matrículas na Educação Básica - Cor/Raça Preta" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_B_5 # "Matrículas na Educação Básica - Cor/Raça Parda" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_B_6 # "Matrículas na Educação Básica - Cor/Raça Amarela" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_B_7 # "Matrículas na Educação Básica - Cor/Raça Indígena" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_B_8 # "Matrículas na Educação Básica - Até 3 anos" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT_B_9 # "Matrículas na Educação Básica - Entre 4 e 5 anos" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT__10 # "Matrículas na Educação Básica - Entre 6 e 10 anos" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT__11 # "Matrículas na Educação Básica - Entre 11 e 14 anos" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT__12 # "Matrículas na Educação Básica - Entre 15 e 17 anos" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT__13 # "Matrículas na Educação Básica - Com 18 ou mais anos" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT__14 # "Matrículas na Educação Básica - Turno Diurno" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT__15 # "Matrículas na Educação Básica - Turno Noturno" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_MAT__16 # "Matrículas na Educação Básica - Turno Não Aplicável" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_INF # "Docentes na Educação Básica" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_BAS # "Docentes na Educação Infantil" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_I_1 # "Docentes na Educação Infantil - Creche" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_I_2 # "Docentes na Educação Infantil - Pré-Escola" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_FUN # "Docentes no Ensino Fundamental" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_F_1 # "Docentes no Ensino Fundamental - Anos Iniciais" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_F_2 # "Docentes no Ensino Fundamental - Anos Finais" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_MED # "Docentes no Ensino Médio" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_PRO # "Docentes na Educação Profissional Técnica" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_EJA # "Docentes no EJA" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_E_1 # "Docentes no EJA - Ensino Fundamental" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Censo Educação 2019" QT_DOC_E_2 # "Docentes no EJA - Ensino Médio" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' 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'><FeatureDataset>Educação</FeatureDataset><WorkspaceConnectionString>DATABASE=C:\Users\ygonmeyer\Desktop\CODATA\DadosEducV2\DadosEduc.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>PB_EDUC2019</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>temp</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 "Censo Educação 2019" temp !QT_MAT_B_9! Python # Text NO_ENFORCE_DOMAINS CalculateField "Censo Educação 2019" QT_MAT_B_9 !QT_MAT__10! Python # Text NO_ENFORCE_DOMAINS CalculateField "Censo Educação 2019" QT_MAT__10 !temp! Python # Text NO_ENFORCE_DOMAINS DeleteField "Censo Educação 2019" temp "Delete Fields" 20241009 18534500 20241009 18534500 Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.2.52636 Censo Educação 2019 CODATA Censo Educação Educacao Censo Educação 2019 Fonte: Censo Escolar Educação Básica Ano: 2019 File Geodatabase Feature Class 0.000 dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE PB_EDUC2019 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. cod_munici cod_munici String 7 0 0 nm_municip nm_municip String 50 0 0 sigla_uf sigla_uf String 2 0 0 area_km2 area_km2 Single 4 0 0 pop_reside pop_reside Integer 4 0 0 qtd_eleito qtd_eleito Integer 4 0 0 tx_crescim tx_crescim Double 8 0 0 nm_regImed nm_regImed String 100 0 0 nm_regInte nm_regInte String 100 0 0 idhm_2010 idhm_2010 Double 8 0 0 dens_demog dens_demog Double 8 0 0 pop_homens pop_homens Double 8 0 0 pop_mulher pop_mulher Double 8 0 0 tx_nao_alf tx_nao_alf Double 8 0 0 pib_munici pib_munici Integer 4 0 0 estab_Educ estab_Educ Integer 4 0 0 escolas_Fu escolas_Fu Integer 4 0 0 escolas__1 escolas__1 Integer 4 0 0 escolas__2 escolas__2 Integer 4 0 0 escolas_Me escolas_Me Integer 4 0 0 escolas__3 escolas__3 Integer 4 0 0 escolas__4 escolas__4 Integer 4 0 0 creche_Pub creche_Pub Integer 4 0 0 creche_Pri creche_Pri Integer 4 0 0 creche_Tot creche_Tot Integer 4 0 0 NM_MUNIC_1 NM_MUNIC_1 String 254 0 0 CO_MUNICIP CO_MUNICIP Double 8 0 0 QT_ESCOLAS QT_ESCOLAS Double 8 0 0 QT_ESCURB2 QT_ESCURB2 Double 8 0 0 QT_ESCRURA QT_ESCRURA Double 8 0 0 QT_MAT_BAS QT_MAT_BAS Double 8 0 0 QT_MAT_INF QT_MAT_INF Double 8 0 0 QT_MAT_I_1 QT_MAT_I_1 Double 8 0 0 QT_MAT_I_2 QT_MAT_I_2 Double 8 0 0 QT_MAT_FUN QT_MAT_FUN Double 8 0 0 QT_MAT_F_1 QT_MAT_F_1 Double 8 0 0 QT_MAT_F_2 QT_MAT_F_2 Double 8 0 0 QT_MAT_MED QT_MAT_MED Double 8 0 0 QT_MAT_PRO QT_MAT_PRO Double 8 0 0 QT_MAT_EJA QT_MAT_EJA Double 8 0 0 QT_MAT_E_1 QT_MAT_E_1 Double 8 0 0 QT_MAT_E_2 QT_MAT_E_2 Double 8 0 0 QT_MAT_B_1 QT_MAT_B_1 Double 8 0 0 QT_MAT_B_2 QT_MAT_B_2 Double 8 0 0 QT_MAT_B_3 QT_MAT_B_3 Double 8 0 0 QT_MAT_B_4 QT_MAT_B_4 Double 8 0 0 QT_MAT_B_5 QT_MAT_B_5 Double 8 0 0 QT_MAT_B_6 QT_MAT_B_6 Double 8 0 0 QT_MAT_B_7 QT_MAT_B_7 Double 8 0 0 QT_MAT_B_8 QT_MAT_B_8 Double 8 0 0 QT_MAT_B_9 QT_MAT_B_9 Double 8 0 0 QT_MAT__10 QT_MAT__10 Double 8 0 0 QT_MAT__11 QT_MAT__11 Double 8 0 0 QT_MAT__12 QT_MAT__12 Double 8 0 0 QT_MAT__13 QT_MAT__13 Double 8 0 0 QT_MAT__14 QT_MAT__14 Double 8 0 0 QT_MAT__15 QT_MAT__15 Double 8 0 0 QT_MAT__16 QT_MAT__16 Double 8 0 0 QT_DOC_INF QT_DOC_INF Double 8 0 0 QT_DOC_BAS QT_DOC_BAS Double 8 0 0 QT_DOC_I_1 QT_DOC_I_1 Double 8 0 0 QT_DOC_I_2 QT_DOC_I_2 Double 8 0 0 QT_DOC_FUN QT_DOC_FUN Double 8 0 0 QT_DOC_F_1 QT_DOC_F_1 Double 8 0 0 QT_DOC_F_2 QT_DOC_F_2 Double 8 0 0 QT_DOC_MED QT_DOC_MED Double 8 0 0 QT_DOC_PRO QT_DOC_PRO Double 8 0 0 QT_DOC_EJA QT_DOC_EJA Double 8 0 0 QT_DOC_E_1 QT_DOC_E_1 Double 8 0 0 QT_DOC_E_2 QT_DOC_E_2 Double 8 0 0 ObjectID_1 ObjectID_1 Integer 4 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20241009 iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzcvXmQXVd6H/a769u33hc0GkBjaewAsZIEh+SQs3Ik05KiyIki y/nDSrlcqeQvl8tWJamkypWKY7vixFV2yXYiRSlLqRmNRqPRDDkcEiSxkACIHejG1uh9X96+3SX1 feee++57/RrkjCkOK2eI6e737rvv3nPPt/2+3/cdvVzOuwCgKApc14GiqHBcB5qqwnFc/hsQP6vV GkzT4GNpuOCPis864nfxAv3H/+e/XqtVYRgGFJXOB9RrdWiaLs6tKtBUDa7r8j95zuBP27H9c4pX Al8WGPR5+ZnmIc5L90AjFDIaZ1A07336fnFOeR2lQolOilgy5r/Gd8fzJWbAsS3YtuvPjTiucR3i Z+Oa5Ps03/S75biYraioaVG4EPPz/5dhu0DN2fp9mgnbASxX/KPf/Wn+EgxdCAAtnDJCoRALh+OQ oIhFkM/mUK1Wke7MNC0+Ok71FoNlWSgXy4gn42Lx+ALn8uKpVMoIR6JQWQgcWFYdtWoNkajGC99Q G4tVDl8Ivdnyv5v+VIIz2CIubYVDDLoPElBD1wLHywXZEE75s1apo5gvoauvg98v1bJwXBJUle/F tm3EwmkWdNuuoV6v4+LFC3j++bP4+OMrOHfuRcBf8I1rFucX81y3LIyPj2P0wAFk60Ws2SZc1Xzm fcizPfuIwLH8HOoIqQ5CigvbdVFydEATAv1Zz/OLDI0UmrL1ohdrBaAnQrrUVYRQfVmGrrKlEAJB V1qtVGDoBk8q/X7p3Uvo7u+Gbup4cv8Jtu0YRH6jwIutq7cTG2sbqNcs5LN5nHn5DN+xqghrQFNf r1Vh28Ja0GTYtoVyuYJQKMzCQt9Fo6GdG8IlhcIXDmmZfE3Pn/Q/s5UV4QXi2Hx/qk6LQiyvhmZ3 Wr4fKObLqFfr6OhOQ1XFcREzwe/XrSpUlYSiANe1+XdN01AqlXD+/PtsSc6fP49KpcLzRAqE5pkU RSqV4tfo67IbWcTiMdRqNWzbNojuTAc6YGG2ZKHqGqx5VUVFnSyU4yJlKtDgQFNc6ApQc1XUXAV1 V4VNguiCv6cxXBioI6PZSIUVmHwfYtSdOrL1Ouquwguz7gBlV4Or6Cz8n+dQ6bl/huN0FXCeYW1+ GUMn4aBB7g89SEPXyS9iLWlZNluJzu4OrC2t4umDpywIpP3p556DezC0cxAfv38VufUcTr10Cnpw wStgaxEKRfjvumXzg47HE+xWBZSqv6hbLYccLBi+2lThQly3tFat5yDnJ6gba3UL4ZAUDjXwmc2P jr66Uqoi1ZGAbjQWi6qQSwiEDJ0taMRMsgWi4+m7aXEODQ3hgw8uYHBwEMvLy+jo6MDi4iILTzQa xdzcArq7u9j60BzU6zX09/dhZWUNmUwndEVFT4QUSQ2mRlpVRaHu4Gm+DkXTsDNlsmIRkyHmoO7Y KNgKDEWBRYrAu296dnFdYSETQ64+BYaqoivUcK3pfI5rIW/VUbQUFG0NFkhgtBah+wUWmUr38+nH 0VV/2RxMfuJSW+ua0PyOTVpRZe22c98u5DYK2HNwBMVcEV29Xchl8xxDdPd1IRKNYnhkmN0L+WDk QuVFFI2zhqrV6yx8muYtzmDI4i1qtmSq+CkfqvDzXf7bd4G8xd/0OSkYUkgCwkGCTzFVa1yz1ciu 5RGJRaCRsgheaMsgTUvXRW7iyuoa0qkEvvGNr6NcFu4qKZhisYDdu3fzazSnKs+xcE8jkQhbm9m5 eezcuZOvme6MvjFuyGtUYNKxSR0arbTAkPrCUIEMvyWE/7M7X4FzkYArClIG/aNXHFRsGyXLRdFW UXJU2IrxC1kXuiLSh8Ewtfm7m10yuk3rS2JJdLHALLEoVRXVWhWRcMQLVB0M7tgGwzB5YR85dYwX Z3+L5t93eJR/3+TW2A4smwRPRchoWJZgkC8Xsu9Suc2LO3iM/BwLi7dwfTesxWJIjU6Ca9sOzJDQ /kEh3mrxk0INRcx27wQWIbkDDhzXxcLCAmZn5zGnazh58jkWGAIdWj9LoIcAQqQwO2xJenr72BKJ +3NZINAi4KaqwrVtWLSIaBVBKAYS/MYQn996NOZRLkoxD3Q9rbpbQVijfy5EBOZgsVzGuhttc+yn j61Elq1v8DgvZnlW3PJFDp2sRalURCwW58kKmSF/8sktIPdI1zV/QQaHLxBebBAMcmuEUukawiGz KZZo+rz3GVrI7HL4yJCYNWkJ6H0pQPL3T4tapWWp1OqIRcL+AfLhkqvV7jyEutkOxQx0bOsXiEHx TL0ufQa6JmEVdD3kx16bzsv35fC9kQCSwuEjybK1nN92hVvEjiS7wAoMQ+d7IqtUq1n8u4yNWp7K 5rnZ9J64t+Y5bY8AKoRqeha6N6zCqVSwYZtQGYH8jxv0na0Bubwj9UsSrOvkd0ajcQ40xcNzUa1W GJalB04uAFkYeK4EaUaBYHkukHR/WDs2BEM39Cbttkk4Au6QfFDyXDSCguDDv2Sm20RxwYcadLtY 19N98fc0ruNZLha9Hw6HvePbCBDFUnUbhkmgg/iugYE+9PR08b0H56b5cw1fQsC7JBgNVUlzRZaO zqcrws1lCNS2YJoNa0bKioTLdhzYFNPZJJi/WJzQOhft5sX1not/rxEgXqtiruYyCvZZh2ccN58/ 8JMfcUPnfimGrutm48E5NiNXpZKAZWmh0KCAnYJJ3SBhsYVpNxqCwsIBWjgWQiEBUQYXchMS1RpM +3GF5yDQYvFioU0PcHMSpO0ggWaXhZCnkI5qrcaWrIFcbT3ofUKZ4ohIm+Nds3h4dI+szQPXQtdJ IAeDEnUboVCze0Xz5MPIpPk1acVIOAj2ExqcjiFLSlMnYjhx3qBllddDAqWHhOUigeU4S1O93NLP N9pa5MC1q577J49LmipqTg1L9mcXTELdyObKb6J4RFoImQvhFeO95oGWz3QYv4ihE8pUr1cRiSTY fNOFRmNRkhw/QcgXzubd4kC+UimxeSfXQgbjtuWw5dgKkWoNkDflN7zFKCd8K03f6qoFE4tSMEn7 Evok1qMABILaaatB5yrlKwiHQ94LImAW5xbCIe+5adF6Jybralv1pmvyXS42FkFo2b8jXoCWbbFb QXMsLJjaXkG0mRsSWLpJ4X7V+dmQktlq/lrvOfhsWi206llD6WZJlyxtKlgu0ZL/bALC3xBY8cGr IGFx2sQlv2zhoKHTA9c1ESfQAjBNnaHaWq0i/EFDBLrkP5uGya4X3YHMm8jP0d9BpKgpj+Fpvta8 RnChszvm+cWbR8BF8jTxpofvfZY1niYElY6haxPC/mz3yrFdrK9kYUYMxBOxze/zwnG3PJdcWOSS 0iKln/IaGsfL+WncO+ehGFYX5xCf24y2tbv21rmSSo3OQ6ghLW5yv7Y6T+vrjdluBk9aB1t5lSBQ CzY+u5vVzuWyWyyJ9VkSJl/g0OnhULxAD9UwTdZGLsOttGAFzYTkm/1gjk/KiIYpKy5yARx4uiQ8 ntb1RqtbEHwo7ZKCPDyNL+ONIG3DP4CPadZaEv0RC42OJQER2pA0snT7+Ay+dqdzyHwCUMgXEY6G EI1HA+cViFVDeRhNsVLw2rdyIwNX6b3uhR3evHCsxFpZQ63mxTZt5kjcfTMAEBS2hsWhLL8C02hc N8c1LYLS9IyCMVqL3lY8D6HJHea/gR7TwUKtCldrfvafZXDW3Pvpjy+DyWgZOgmD5d246cUYZDHI 9yUhIMiFNRPzZISW1BiybUzsVmSFdtZCwsn8Oy/oRobcD8YD7sRWI6iBJaRMD1cAA8JykHBEGMFq uAjBvEnQ5hO8TIuz5Q74/2Xcwd/7GZ4iCRJxvnxXTV6z/CzLf2DRe+gUWe7gPATdTfk5qTha57nd 99DnTbMhKDRkQO9/hgEDgZQJTlrj2hTpUnnCF1R29BnK7LtuDXOW8XODBCQYrWjVlyT10TR0wuYr lSr7vUR5IIiTfOl6nRay8KcJSSFKCE+sB8TJxFKQsEhjk/vkPVCBKjUn/Oj3piAwAO/Kc/HPACQs RrOmFkRGsSBoIRBxkOIhKRziEwHoeFO2XsxBPB3zv01oeuHXsxLwaBqcp2kCGDazoug9EigSErJe vpZuWXhBpcF8JIJ+A/PWaoU+DYELxnI+gMAwtOpbPxFHOawAhUsqkEv+iCY+Ky2yGwQG6D8CFFq+ K2WqWKpV4aiUO/vslBM5c196C0KXHY2G2EqQ9SAtIukikg6haQZj95QNJkGiRSPRlWD0K7Whn8Qj je5ppVZXq8latLgqcjQJSGBhB9+XC58m2pK5l7CAdpvHZp9afC9Qr9QRjUUCQbxcwCTYth9PiIfa Ps8R5IRJJI4gWGEZtLaQtsicqyhbNuKMSAWuLRCzyctv63a1eS34euvccoxUr7MypGfOrqYm8k3N wEnjOvzr8ZOzAThWUZE2HCzbpFj1zwz10q/E/wqiWltl2n+ZQxeajdyIGvvBmk7+uqCnk6DULUER EeEIaTpi/ErNSsJDJLlmtyhoIRowZ/vhuxTeQg9qzlZhCrocfkBOLpYnzNKlaZeLYLvXJj4oZIvY 2MhicKg3cDS9TzmdgGslIVo/0A6euVnry0GLkSwTw+K6tL4Nnhqdh5KCRhM72TtVa8wUWKDtjmt9 zZ/PFleXroUElkAJEhKChfkZ+ncuARUZgwXoO20AGBo9YRWFYh01wVzacshvYUp74HWGfL+M/hUJ CC2qaq3C7hJNnmEIuonk3MjcBMUlIcNk2J7rRLwJotcpgPeDTk8YWhdoO3ehyeXawnPgB+OZ9kbs 0EhQcmxkk5bXm+OaliFiFS+TzedykdvIwa472DY80JIYFDEBWQERpIuJaJcAlMcHBTx4n+RikVtT qQh3i+aZrLJc8BoJehMgsXm+gjFIKxK45fA/Iq4rKDA0RM7E5LmTPDrKz8jkbsNSKgFrIeM3ug4x L/K9sOKg+mlJ2Jaf/ux9SXIe7QZH35TboInyXSXHhREOeS6X1Do6rGoVhmlwPEKU9XAkxJSDIPIk Kdeb0CmmVWymmwShYEHY3bwwmhEU8b4ssCKBoIVH1xMs5mr3HXwej7qxtrzG+Z5Ihmj3zag751Ic KoCSWfhmImRbFE4uwhaAQVg+hROVIkdBC5Pmh1BCFyt1Axm1gW361qWNkD9TIFrvWSof739N6JeM UVwJDXuxHAsLoV6eQlEFnSXoDnuPc9P1dIaAtTLlybaGfaULRR+jx9BQRwCl0L6MlkR3pL9MmsGb KFogtpdVZxSLUSthWcKxBPuw5Ou3Qo5BhMo36Z7WFvGKOLYdUtVEWvSERZ53qxxAEAGS36WzH7wZ qgx+zrYErBqKCvhX5lbksRLFCwII7c7nxxPymtsIBw2ZtItEhFCToNStGlsTKmAKVmP6SFsbSyiv 9VkIX+vc+rHFprRRs8sm3GWKP8WBdI0WW+YA02ILTh0NU1NhwoLzKXkRVkUticHGtePLGYM4zKCV g3IaOlcChsin9yoGyYeOJVLiENY8jSy6nOe2UF/ADxZ/BmYhoCk3LbJATmSrQBSe1iPwIBajkljv DrzS4c2ZZyrgcth6dPVmGlA1uYYyo21ZArFSBErXTjCbBCRIvQ8Euj6i1Oq7ez8j4ZBwsRwqP7ZQ rwvL4n+m5dr9nx6tZ6vRzk0Lfj64wFuJn8HjKPayyaJ4wby/OliY3Sa6jIxjTdgo04u1EnQzBIcS zEZYIIyuBRVE0XGhWlUoWgNhlINOqXzJrIguoFYXpWIBySQJgIpardTg9SjwahvIzZLaIfDQPsWK +P/URp1GUBAaSFWDqChHq4vVutjougnSFeBB4z2imjAlvEVrkqUpZEvo7M2wBZRxVysbmV5XA98T FO7Whet/LoD2tl4rX5OXEAzW9UsXKB6LsmCS1g7et3RV6R8H1uz6Cfcv+H4D9m4IZXC0ghbB+5GW KijQvhurEYtb5IH4PXK5WgQsOHjOXBc//r//Dc699nXMTjzE9v1HYWgKHt25jm17DyMUDmP8kysY eflNzn9I55ZOyTV0XzIrIupBLHowLrtORLSrOAVEtARqVgUmU7ib4wqZtW3QJBocKhqtWvTTkkhB jRk8R9CPDr4ur6NWFVnySoXqKoisJxKd5C5KVyF4PXbdhm4S/UKUyEp6SNDvp8Un6y02jc0pDx4S TdtqCP/egsU5CJHp5qI0DorFCel6SCnR91vk4pmmr+FJkxMaxkJFNfXEduDXHUYbee4CFZpCuTWI hKy0PI3f5K4KjjuzJposTCAO1Ck48FzE4Gfpemjug/fYGwaelOpIZdK4euE9xKMRfPT2X6BWpRqj EGafTvB1RTPdvnDw8/emloqkvpQCwkEZIzcUZFH2OQrLKQN1HaZO5bIeJOl1FqEHRizg1twGjU0u SUv8IY9pdZ2aPtMuRmmD8dPzpwdPwIGwXETWq8HkevcgVi+ukY6lJgz0+WQmIYTcE3aOu2wp7IKq Evy+Vosgh6RhBIP0dvfyZPwJ5qbn4Vg2Tr98EnNT8xjePczXk8qk2FrTNVy9cJUbYPQO9GDXvl0o lyqIJWIoF4uIxmOw6lTunEUylWRo/v7NMQyPbEc4GmGhiyfpvoTWJwsrUTNHaaWLiDp9UeHYooA8 Cozi3VerBaVjzJCBSrXGDTBEPkWBpjhwFQXRaAz7jxzHjYvv8zVEYzFe+bV6BclIhKtQmd3bKiRf MuGgwc4l3QRdItca6BrqlgKr7iBkimpD1syepSDt3GxN2vu4EhlqG5xvsdiCWdug+9aagaYhOVaO ZSG3sY7unn4Ppm4mCfL9UR6CAlBDaOlkqiEcNKiugqRJ0thbBb7VIvrX2/JE20G1YiGSC1tCrVJl K0Ku3trSGoqFErcVojLmfYdGWdNSWfPwnu1YX1nH47HH/HP77u345OINDGzv51LnjdUN7Du8B5OP ppDdyKN/qA8Xf3YZtmXha29+DbF4nJ35MMHvFEPaguVLwy8+I/avB9EHKfVb3aciXcJAdxmBzNX4 3CSEjx4/xlzVxHOv/yoUzcDXdu73yqhVbm1E/xhUcVXIAm3pYpGwyHSMgOHx5QnSubNINOrlNBxY RJojk++aULQAH8fjOjHvqaXrCI2gkAife2vekO+ieZqK6N66rGUIVBNuNWTPrmo9zxwqLheuVDz3 qfmBy0VBScFEKsGWROZrgsmyVoi5CVhocy987ja09OBlC8skkpiHTxzEvZtjvJBlzoFzI54rRGgh vU4CkM8W2ErsGh3h1kucT6nWoJsGRvbv4rklyxmOhHkBEhNAXgfNpc904MuxWdNrXrcawfilhhxU JEd5JJE8bLIULTGJ26bEgIZsFbWynodO7YpySyjVdnMKAKrpZwdtkimqNSfGg6z98CSEYd4WD5WN eED//LIy7bwiyaUwjBA/sGKhyMG4poVh6uFAcqexSEgby1Y27SyH9GOlhm4H1QYfBr3HeY0Wuoar NFy4YJ2CZKhSjypLqUAzyT2sI5tdRW/vtraLnJCiSrXCHVpkUF2r15oWkqwjDwIHQkw3u3dbQc/B 66c5EvkUE7v37+bX050dHOMcOnmQ51z0BxM8JhLUF157ATVKKtIC887V3deNweFtPrTO860q3CyD Pm+GQzj3tXMC5qZnR80kSGtbFvstZHXCEWFZuXMNdWphDpYDI2Swt1CpiPyHH7t4rrfTJoj3Yzee H06cIWa4mCqsI5pOw+Cy7ZaF5oV1FScQbzxjYfJ5A9NLYSFzub7gOIVjkKArQIk/zoyTxHrm0V8M 3gVzkOk0XJeg8MjJE8cLWKIVSpRIVzDWaCtELRaEG63VyeXTGAmq2xX+DC2KQmndq+qTn9k8i+GQ gBbpM4Khu5mF2i4uaoJp28QjUiGIuWncF2lmGciKXJICleI8arHk2CgVikhlMk3n4f5axRJbRXJd 4omEQLHiIs6iUS6V2HLQd+mGOD/FEo0afxEn0vQxTOvVs9PQPJqJsEAmf0bWu8s1QC4gl1lDWHkh NHJhimcgwQPHoboTOq+KkZGdqGgm1p6x4FRvsZM1kZgHnZcsy6cNaWm4+tD9Al0sGrxQvGCLG8hx p8UIeNoD/ChR4il8V2r2QK5JcJEJzS5gxSA1xKele66N/F0m4vj1FspFqwtHD4ZcFelD224dphoD cTWKxSLSmW6xTKnCkernZbM6y8L6ygaSHQmvm6GNkCmEo13eQJ6fKS5ti7ik5+xVHEpSBp3PsdjX lgxarlN3BGFRzJOLYr6Iuzfu8Sf3HhjBzNNZjIyOIJZIsKX78Xd/gudfPcMBet9QL+an57F7dDem nkwhkUng5uVbeP6rZ7A0vwwzZGJo13YPRBEKixjZRDqlGEM05xNNK+R8U7ksdZrhmp8Whi4DH2pD oFxPURJTgYSH70NToatECg0xOkcpgmrV4mA8qioolIuwtGRbB5lzImQNgsyXz8AzoeuQHK6fg1Dw +bhY/iL04gLuFKjqXIpL5ETWSh6lhLSPxNxJk5kmaTK+BT/maC4EanQkETcacL1aGbaeStkqWAwK CwXWHIM4BYSUODTDhEk19OyrNtwxeqgri+sIRYXZp8+TcEj6etAlbL2eZwflzQCCfMqimYIDzdQC kKyCLMcRIRapmaczSKWTzAUbv/OA+4tNPHyKQ88d5jMNDvdj7NY4tu3chnvXx9C/vQ9TE9OYeDCJ l791DuFomO/r5ke32dcnF4wsClOCNM2zskIgTPpOqQi8+ZWVn6JtUCMJ2I6WorI1EmyLcEQc67t5 HuysqS4cau0UEqXCobq7ZSfF4AwG8x7kgj3LijRK275gF0t+IfuaniWgdUEPtlAosBYmV4Sp7xSw e5fJeQddlOMGaScsDF5HEVnf0K5VDz8I4vkEKuroFNL9kvUjraW68jvoegwzzAqQgvN0ppPpG4Ym 6COMuFk2lhfWmM6v6kKjywdLvji1RQ17PcCelbSUFq5dMpOGaPYt+gzTeci6+jkIm7Lk1DRCR6lc RDyeRE9/D25euYWBoX6GcCceTODQc4f4eFVT0DvYh3iCkocO0h0pTD6ewpFTh0W8EQqhoyvDVnFo l4hLyIrQd1D/MnoeZD1EBWSgxy9bavGrqOsRC1TOp5xfyXGTw7KoIYQgg7YifMJDUGGGY1DqQmHR iGoO8vUaM8O3orzLoJzjEQnJP2Phy/rPL3r4MYh0iUQCzUKpXPIgQNENhHxNQoekm0DHUgvRaqUu 6A9MzWjO7AphatbK/jGel+KX98q67hbzGeQk+YubEC+mP6gcgJLZp1ZFnOmn5D+1KLJs7pCY7kjy ouNjykXRh4po/ZqGfHYNptHL/Xp9WJoaU7eAC3K0haYDi0sEt0IZEGggr7tUzKFcLqGjq5eP7eju wivfetXrvaVg2/CQ58bS/Ks4cOwAu2UCuACGd+9gJcYInKrh8KmjfO7O3h7vGxzUqqLfMSdJGSET EK94poIR4Vt3tugCFGj0ZW4uiCILVWeWb6MTfjtqCg1iBVMjDzk6Qypst4o116s3CQxqGMmIlk9B EvSSTzMK7i+1HkSiTqy5bRQKedastODEAhVuF92MnDQKCinpRbkFKVjBgJ8TVOKpCO27BUuVta/X KzfofvEIwnwBFIsWjjyeukAWi3moFD/Jj7kuisUyIrEQWzl5bQy3shvgNV0jJKtWRUhVUOVGC+Zm BzeQk5FQ9Fb5HFIUlGF+OH4Fqm6it2cnCzIF69R7jOpqqNNk4zOi7oLq+snHpwVbKmRhhiMM6VKA TsIrKP3UwNqGoYj7EZR86lcm6P6yQlBQQYSwlUp5RKOJAEtAOPFBofYRSGy2GiHuZdze4Q+eg5OS Hg1G5MiAuA6sVl2uUmwdrcZCCon2JWkW19aCyEE9oSKRmKgw5FagYmGLwiSKRTReCAwjuqQlBXQo CW3SVZMA6VYludJtIXdACpWojW64V7Leg44VwAC5eqL1TgPPpzY/Koq5MjSDiHWE8ERgVS3EYhFO klGNC91ELJHkp2HVaI8QhWvr6dz5XJb/Fl0lvbDbX0B89T6kKVuHBi0j/aNzjD/4c9Sdq+jbdhPR aA03rp/BUO/vYfuObZxvqVuUyBRuh+xBLJpgUXFVSGj6GDXEFoueBFLz4j/6HGUtGgqGXFmbnxG5 ccQeYBePkTAFpVKFhVlUinKjLT8OkXMtvIEGQ4JdXN6eQiRh1RaLEWz9I5FLUiwU03Hikdi/njdg kHV0uVHqpkVHVqTaRhAY3Wotw/UG80e1L77rCVsQujEK3DiAZZqGMMHk/tCC1E0PQiTBUDTYEHtk 8Al0emwq87hk3XPQRZEPJKg2fCHxinSaYeQGLtSUF/ERFeHrMozJsRCQz1ECMAzFJei3hmq5hmRH XPCPvG6F4jxCsAhmJZcsmUpBNyhwBlZXVhCNxeE45I4FOUbimqjfFTez9kpx6ZS0vcHGxgrGxn6C WOod7Dt2B6bZeIJ7D17BxuLf5sVL7FYqMiLIVcyjcOVKlSIn8OS80+/My9KpH3KjVJcGoVIyV0Eu XLlSRiKe5CbTtM8IXScJErlHlPwVZb9kZcRzYIHg1qq00AjmFnC+7yJDdHeUrGK3HUQv8yKSmuQF ExSzEgInB+kkQ3G4l3DrYFg4YC2CGM0zA/BfVqJQ5iqE6RaTJ4NWhg5btD4fx1ZFY39elmhShr01 qeZrYjom0A83SCOhh60askdtYASy16K5mlh8EiGjBVvI55DuiLMrRS4MbSDFlsIPfzZngBlp4ZyI ywRGVTNE0zvKLnvC4S8MD6jP5XPoyHTw9g21Wpn7Ft9/8K8wsP1d7DtKEHNx8+QadJ2C70QLk/1x 3wIJa8TZc1m96eVBSKNTHGHZNdHVkio+VRWlcoVp/aUiJXN17n5JligcjaJaKQnNb5LVrPFz4Xtg 6FlYde5E71qseMIhDy4P7Ckik5ut3VhoBF3gprgr0P6Im2wzEBLIg20xgu/Izu/BGvV245fhfrEF aWoX9WNIAAAgAElEQVQD0xbeFCQ0udCl9heN0LzgnhCtGiFbgiPQVGseyMQ3tZBh2Njif4qXnGz6 3oBLwWW1FCy68vso6K4yhYIsBTWTyGU32ApwDQtv2tOgnLRSJwj1EfcjgtVwNCZcLu5RLMhApJVp IVbKBayvrmLs/nuw7BVoxicwwyvYd2gS8UQF1YqOuZk0wpEakskqNJ2EQFiaYmlD9BDjhtgC4OA2 rlw6IBrRsZvkkhUX+oqg2nIpz0JI6FylVEQy04WYBy7QPcrgVz4/k3JWGvXzFck+CtxZ4ER5YKNp NwmK+EW40F6ZNP0MdmFpuN5uwO1soJLi+TSDLl4xM9+3TXuLPIMqxMbdlufwZMn5lD5avwwBkcGV JPnJvTlk4E3ajAM/R+DqMkiVGDhPiuqgZOUFqbFmIhQWgaWfAOTIglqYigcRXPgc9HuBpdQfrfT2 RuAvGmjToioVylhf20BPf4e3e1MFRoh3hGGrx1ZJaSS8goNe41iAvTphueKxhK/hKWD+5K3vIrx0 E9XEdoaD8+Y4XvjVazBDJDTiniplA1cu7UCtrmH78Bpmp9MYz1PXFxVHjs/hyfgrOHrotMiEk3Wj kmVDlDdLur1cbEGXslIuYWNtDZ3dopEEB+rsPhnNLpfXkkjcEy14qn2viHnzXFGCigXbgOKYRkAu AvkG8ZD7F4dDTQG70sKgbrDkpXJz4BqN58NrnONToGh7uTCiC7V5BkEmrxzaFrkQ5ov9ksiLetC1 ktltatUjylc1v4Y7mIOgITe7oVF3quJkqgGbO4hShV6gebXEz31orxEE80OXCSqu0xZLVgimyNKL Xk4efcL7fKVUQSYjaBiim6DQrhRbROPCpyeLRnkDMYJCJ9xD/35I0zLUS0k+Cw/HxtE58w5GQ8tw C2OsvS4nTYQjFlYWqRO+g2w2gunJDJ47M4VEnPY+dDE0vM7nvHb5NKYf/jc4dugEEw7lNdN3igVE Lmqjt7FC+x56Skhk4CPo6RsUguG4SCRF9aM4j9xTkkiW4vMkKDyXhOSxEAm2g1zUFORTjEmNIyIR irkabivFjvS9MigPBuxuAKQIWmAaxBCgxCcpFKH4EMjW64jrLnbFXDwpVmCrdO6WYL1FED7FgLQd fG8ysP9rEiCdi3QCpaOSsCcaMQsXQyxAuVeFV4nGDFAdVbsI260hpBLHPwRFFw9HdmMM7hTVWict koUUw3g3zNQHMVtBIRIUE0OgOqqKwkaBs/zxlOjAzvCnYSCf20AkGhP0ElvwjmR2mxkCgaZ1weq7 hvATUqJhfm4Gx5S8dxT19gI2VqO4+MeHMJilTpQqnhgmTvzaGOLxaoBTpGBmqhuZxH+NgwePN000 XYPU5Kome2KJfSBDYZFrEmwEUc7KQAC9ygGzx3+CglpV1MvzFhOeYgtaIx/J8pKtzBr2YGF6JFwP T8+HPkPBNLF8jUBBlNyYx+fYKZsQSNmnmLdhYNUu3DD6NLmJpOLo07R498QdPChSakBrW15LcYcc Wzlk7VCtVgYwpXD+OlwwhnnZUrSpbSDtQsGcHDRpBFeS5WBXi3xoNQzV1aGr4jh6MGKL582mdZOp 9fxWn8tFQZrXxEAeW63WWevRRqA0A9VKDevrwrUyqOcuw8IWsuurHD9QLoOukRYYxSWEetHfYtes wFe3ZOcF89bBgxvXUFub440ygyOyauB0Ko94SOAyI46Gu9/bhfGocCmU3gqM2F6oOIXjx/Zvin1E GbBg2EqXln6v1spc+9/ES2spW6b7Fn2GHcRioncwWdPpqSlO1s5PPsLaoxsYfeVvIJVO+a4tVwN6 2yjQYpWkRL/2nUtoW5pseJ5BMN4MDq798FxGEY9IZQdEIxHPsgQacLNobKaeyG3Z6OtlcE50E04b BKa+lZjIDAABxjUNJjEyyonPX0D4iyUSQXkD7+Z9sr7PwiXcnbYDIwREJBA13glJIBccHNKDMDXW 9tQNXjwsisZaKNMBNIdGMM7grZY9SNbPykv83gESCUKtTC4+WlxYRDhMxLkoB69EYS/mC0h1dPiL I7gBTXCmg24jLZpL759H5va/x9fCOYSM5plO6OSyNP6OqjZOIQdUgaxt4mPnVRz59m+js6vTP2fw 3nivD6+9ElsRUjL0VL2+wmS55LGtdA7bqvF8UOAvc0LkYs0t/49wFkvQL+g4G13FJ9c6cPTVb4u9 QwjutaiVrLz/zbXkrYuf5p0TqFvU4tSZ49Ugp4prJaGWguLR6U3h0jWoO89mF8qZ0mXTBi94F9fY OIAhbrEJQNszchsCj+37eQ1dZl39rLDHc5I5ESkYNCTaIZsdiy3A6MJF0Cffp8khTc8+MS101ogN UpxAh4RbEKS6i8lq7CQlYENvWzPqWK6HYFsVXLt+HrZ6gbVySP8mzp59niFPMkEUnBP8K5KMIr6i BbWJQxWAkCl4np+dxezSR8BwGfUFBY1KmMbxW1nwGfTjzK/+LtKZtDi0TQGZfKCi/oTauJYY/mU0 K9D8oZV+T8Ez7U2oG6K46umTh1heHUe+OI1Dz32CuxeHcCjsstunenR/Oi+dpVytivJjz1Vst+eI rMdh96wuwIPWQjfX+4xgBUg0Lkg9aSiwSDTMLOQo1bjQc4SGqOog52X5W8enbdrJMYa3PTTLrvd6 66k8XSPe+xw3AW3KpAe1HvmuAs2i/lhlsej4gVKfJA/b94Yo2ZWdM8Q5yMyKvTkadyPpHiILHORu NQSDBu3SxH2rAu6dvPurVz9Aqvf/4LxDtRLF4tRrqFTqUHVqWi0CTgpyPRPhayC5nx/56HSMCOgF uDA7O43phX+IF1+bxuObAjmar4axWAujP1RBp1FFp1nDfDWCuFZAxVGRtww8ziVRsTRg/2kcSouW SE1z2dSAOuDLg2gcxLLVEDLDTdsLBGvpec74XLRww8wSnpr/lzh0/DyDAqWiCXsyhri2gWvFXoQ6 hoV7SvFjvSYYz2GF4XAqqqLFKF0oeo+TloHcBsHdFNuRJ0AWWQ4Zn9IcWp7/0ypAPs0EjYI6Jm3S pq9RFTaVF6u0AWh7IZEJRZ6plnhCumKBbd6bBrtd3i/0WRKOwO7d/1HNIPx6EMnXkciIhPt4I8xy Ecl0p4cy0X+SoyMCTy+89B6yWAyCySsKa4J7FcocSnDI4J8eFCEtZKJ1idDYQvvLzxw7fhZ37/wD XB3/E5w5dxOP7n4P8Yc/QynSgx0v/Tq6enq4Qk+iU3yT3mxJv5parU48uYPJ6Q+hqA5WV6dx5tw8 UukSrNUQYloJ13Np7IvlUbAMPCrFkNLruLHcjbHcENyajkhZR7qoI0Qm/bltTffn0+1phyovpgq6 VpUyQbEKQmFqmM1qttE9PjA1cgNPovFT7mR6chL9Q7cQjtRx8e09iN+P4bBR5nTvsegSbr//L3C7 /HvoGxzkJg9LE9PMAF65/giHf+N17D2010POVFTqRS5lkKwBMTdCQOlaBXPA2NTAzguJ/Bqhpufo HUtwMW3jJ6s1KQbpoY4nFVGj0zqCQhGoy9v0/pYj8F673jLSQv0iQqI3dR3xnLuGNhNujrCiDQ3Y aCezuV+uhCF5M0+vlQ2/19LVPIiMBAWndQcn6XNT3qJcKqBWKaNQfIRkegkPx3px8txTjFyOQS8/ wPkPIhgYPYnDp06LzUblfiZ+lxIXTyce4u7dj9DR+0M8/+oYo3NWXcOd6wNY+NF2rKwlcFGLYLYa wdnUGnrNKkaiBcyR9XBddC3EkKw1HgP11V2ZX295XkK5UE5CZpVpsRBYQJaDFqW8T4k6yTnYpDS8 NkGKYmNh6TKOnlnl1+dmU/iWnkOnXvO0sIvDkWXcvvKv8aiew/K7O7DrZhLUtq3DAWaX/hKV3y3h yJnj7OpQi9Cm7/OaxK0ur2Li+nnUynkkd49gZOQkMpmOwPXIoKA5sexz9TyvQCaQZRI6xE3O2/s9 isfPon1Bxfl+PloJC+2nbF/5i+6a22DzSszcizkYvlNEniKRTAmhCNASZDMCRjy8pmE+n8rTQjIr G5wJzuMGEk6NtxqZWxETNQoG6KGQ6afKtYXFOfRu/w+Ym0mirz8H1RLfH1EtfLXyEyxevYBrxd+B lo5hdvY2ujoPYHBgBFFqSmGVMTX/T9C9bQnlMrlwclMZB/WZGF5WcihnitxpcrYexnI9hMEQ9wrE QKiMX9k5gbfNOqpjfegui+sr6y4Se7a1CLsIaIl2IRa4gEOFsiH3pVG81eRmBrvYS+azR1ykWIVO X6vpTGHpCVcQrTRjQyQk3VoeRaOC2JIBk3jl3uiZr2D2P7yP1adziCbiDAXZKrlVFWhOHVgZh1rJ oas6iUNKAe8jgZGhP8LN29+CpvbCDE+gmE/DcZIIh/agv28Hdo2MNBEagzA6PUPatYs6yJCiWFle Qr4WQnpgR9uF6Cc8P/Ouh82DLARXKrY0wvZ//qIuFmkOwtqp2IhdAO5eQhqlztg9QaW6V7tsE7rE G1tK7S5cH9mtnPMUXm2031TOS4CJmw+U4wb6SbVCovVqlZOFHNh7mD59ulCq4vLVf48du2JYXoyj UjLQlSxj2INkTcVBj1bA/Zt/gszLCzj90jKuXt6Jjr513PnkOMJhF6deuIZsNoxPPt6OicddKBWp GbeD4WVAC7mIaxbylo7t52axHK9h41IHtmkVXMtlcDyxgRf7FvC2rWN5IYXhDRNFA+j3EpZicRAz QS5qmV8QjAESUnq9sYdhc34hOAc+54kF2ORtKA4dfAPjt2NYnvwznFmvIKK3p7Y+vDCMQ/ONGEKO wYkirMmbImuhAIuZCk6dGENStxCSDbQNYMyOYd83JjA/m4KrXsH+Y7OIJ6qwiTVdMPFXf3EQjlrE 7MTfxguvfsuroy9j/N497D98kO/z+ifXYSn/Fqb6OkKx80h3PkB27R9tKSCtO9/+PEZEHhfc7/Dz qlvXRdEM8aFs2GxC5MWSpov41PJgLbm8gyCHi82sR08X7zV3OQlmb32M3dOQcshzURmvyMoKvI+g W3KTZmdu4Bvf+RjJVAWX/88jcKcSSIV1RKMiqUdIDothdwX7D83BsqmNqorO7nVMTT7AyReeQjds dHYV8eIrj3HhvRHsHV1CdiOCte0WJhfSOGEXcb8WR8+uCXa/bte3IVc2sTeWx3XSoC6wp3MNc9v6 kD79JvrjEQzsGPLvkywF5W6oyi9ImyeBEB1FCAkSbqOs95Z19tI603GCRqIyWMLCpuno6OzG4cPf wo2JOTjuBcK4/LlbqIV5f3U6Z/J+B0Jb0MI9lgy7hmVFwf1iAidTDRexYOtYyLh4bjCL2XvdyD1N 4krRwKvfHIemEeSswjRsrN2J40X7D3Fv4SqqCCFanke6uoL3Hn0b4WgPxid/ht/8u9eha9dgmHQv Lh4vbA0tybyI3LvwWYOOkQE70d+9CMAfn2fCUCfYTpZrBnvBErwqYMFGIC5QmYb7I4Nozp62ZFtb M+fB9+RnGzfcCARpwbBrxjUM0o9XuEF1qfYzXtyVigGzqOJQYh1PyzH8+VI/9sfzGCvEoQ1WMLh/ Earm4ObH29E3kEOtSvGIiqWFBNNDBrZlsX3HGhLJCnr6chjetQo8B6wsx/Fnf3gUp7/zAE8uDaJn WcW3Y0u88GgMmBVRSkyb67gb2Hlgt6j59oJbelTUvIBIla2Nr4WbRfNMNRp0PcLKivah9UaCjhAY Q29sBuTB3Zy4rdY56D79G38P9/9oGn3OfZRsHVHNQtYycCtlMsgwnNt6I5u1mIWNoyvoOLQEcz2E Q/kS7hWSqDoqOo0aHqthIFLElT86hOdqZcSNVby9kkCtqjMP7cnjLl6MyZoLR3WxrXAbHUaNV7gb UXD34m0k5hLo+fYyivkQunvzWFpMsFDRfu7PGjLPQQJAgXXQojTWite8oVGU6q0t/LUMnZi0TDtg 6DOIkwc77YmDq+UK00FIwwsOkMhuB4P3BtEwELi35DrkCFoXeQ5RwyAQHxJepmXTg12l/TxyfAzF Du5QCZm1Ou4VNLyUWeEFcjK1gbedBDI1Ax+/tRezPxhFVx24MroGezKJi4ODeOPvX8SNa0OYnOjA 0+sDyE6nEIvX0DOyij37l3DyVx5g+u3tOK3mkTFFACyHGsiu122BTJFwcAcVQqcqRPijuWluESTv VQAWzbA670jr1crT+VqZ1TIHRK8/GBtD2f0nqBXfRKmsYQ4R3BlUkJqL4XQ0h2kliWpMR6zepm5e AWY6qii/Mo1v/fZ1tgYPrg3AvBLFyeQ6Vusm3l/v5sV+cMZGRi8zO+Td+QGsL3Ti4eFllMsGHj/s xs7dK4jstPDeoy5gJoodRhlHIzl204xUEc5CHNt/tAOXN8Lo611DfjGG7nAFpcwc3KPP3mSHM++e JZE/3TZC9EWRFxnFoiIonzjn0Q0aZZyk4QQxjtwxql+Qi527aBCWHsiiBYVBlGJSV0GvH1Wgf1ZT gB5YRKRdBQLmkfq8RNbTyQfIFrNYWYqjq6eA7oOr+OiHQ/w50nz0r+JoCF0cRPm9baBKiiMbHiK2 NMAZ2schEjwHz52awl/+s3M4eq0bqtvHx6zGLUzvyrJWLJRVWEOFZ05c2M4ju5FjSJraH4VDMW+7 6UZ3kM0d1YVn3cQkCNa8kIIK0GwkkVT1KP4LK2/hzMu3Ucg/xEyoAx99OIgzL92Bayv48Ae7gGQd OdfEdHcVQ8shbq1jqcBMuorwtnXEOwvY+xVqIN1YXTWH9iikhm4aAxEp1cIHS71QCiEY8QqSd/uw x1Zw9+1d6BldxbET0+ziUvy2a/8yqjt17Bhdwoc/GsG5fBnHBxfxF1YIWj6MU0oeo5UirighnAzn YLsLgmXcBupluom3JJ4VO0hP5osauqoaqCtlmCph8uLC2fRzO/4y11hTkQ67W7RBCjNOadF6u7+y 97gZvqUyV7m1l8iXiJalDQp9m27jberPZcLPwQROnJnC7RuDSHeUOdBedQ18I7XkH7lWM5Epq+jN Nz8AqfgTczF8+LPdMMIWtFSVtWrEEt8dyhrA9S7+nRjJ15bi6ByZw+GuVYQDO0D55+Trt7k3LlN0 agUsLVHproahoe2b9lGnIblYksgZrLBsnLeFw8UwuotysYJM13UW8HSmhPTJErbvWUUyJVC2sT1F PH3UhbMvTSDy6iNMXB5CdjmG8LKOF3sXkTFqeFiLwXYoD0NkRweTCymMRaPoClfgrMYxu5JGeiWK iqJgz4buz08u5OCMmkNq0sXl5QFOmL7x5m109xZw6YOd7Ko6HXVcmOhG9XEvdhZNrIdtDESL7J6K AmwXHbkHWJyZQM/wnk3zya6VF1gHGzlsRYFvzJecQ/y1DF3RXLi0cBXZ2UM8oGq1xIJCjZApxiCE StRiiPoJzkJ7dRViPYs2+uJi3YCFMUWm3WubQ4OF4xkwhVxIskalUq3CwYf8IPaOLnJwTaWtiUgV ptoQpmLdQKLapkuAN3KdFbx07ikcW8HlG728AGiUDBfRekNIScEOroRQyu7AT3u7MTIyA123kXV1 rFsGB7LhnWUUpv45OnseQVUJvnUQjuS4BqSn+/eZgNi62Gk8fHgLK6uf4OiR30QqleL3KQ4h6kk8 ToVQzeCGaLwQx5OJh1CNJVy/MsRoElnRHRQ7Afjw/Ah2jqxicPsGW4fB4XXEklU8+vMRnDaK/hzt Mkq4+eNB3Iv1Y63HxpHnZtHZXWT6/g//p1dx+FEaREGbi9msJKLenCxlqjgSKeGmHkXvoVWs3O7H vdv96F3JY3kxiQ/e3cOWqLajhqFrIRaqbLqClbqJJ/UoplMqipkojEUL6zMP2woIrRxKutKSqJGg eIlDLs9tqSZkZM97zHJmWd/8NWy+o1PjNVMTkKDkXVG+IRSOwtBNFopKtcSlnGooLJAGrrYjlm00 sMGluGKZHBL4OEG0susg+dGi9iNId2/Xv5dp9IGdjWLRKELa11CrfcIL4+XXH/Dr4+k+rHyQQpcp 0JyQZqNoOAjbalMOgMZiso7+v3UHsXgVc1MZ2He7sTq6juKeNawVTex+e2jTZ2iBDM/E8Ul9Jyq7 1vDKb9/G8lgPjh1YQC/lYMiHaRma/g4ePfoNHDp83L+fXC6PjY1lzMxcQN/wH2DvYBETT0axffgA Hj/5CVTjEur1EoYH/gf0D2zzYxOxp0iNH/7ogQO4eeO/g6r+z9i1Zw4L80mc/+kemCEbAwO0S+8G x1U0ctkwxr6/Gy/UCk0KhLT5CTMHq6bgnYed0E4S49fG+loU4adJFg6+b0vFfNTBSFY80+4NE7c3 OuBELTy4PoBDJ2bw9HEn7t4awNe/cw/lvMkK6/bdHhie1ukeXME8TGz7tSfY10sNxmldmbh0Q1i8 T0WpAvUhbWORLbLtsovK5yUszMXSFEE3IGGgwDsao/5LgoclOVYimBbukVfp70PATYkuNKjZnBPx a9bdTf43JQ2D8Gawvy3BuszloloFKDiw/1dw6fwYEh0fc2ESPdjVRx04RFQLb5SgonB6AVMrMZy8 k4YmfVoFKJ5dwItnp9hdSaTLSPznd3Dqhacc8M/PpDB+tZethv+QvCdAMrBn1cRYHyF1Dj/kpxOd LCDtBqFT+cKGPy9Li0u4euP3MXroLvYfLzBNhBCh8YcfYGr2T3Hg6DUMbNtgq/Dg7n8Px/7HLCSU rKQ6c25xROQe3cCJEy/i/IVdSKUfI5UuswWhhVmp6CgWxLUTwjf9w0GcrRZhBmKN5ofuoi9c5kVL Y+FxJ3qyDcZzuqpgMe5gbKSExGoYaxELO1UH1bKBl1DAR2/txJFEFv1OAY//fATPx9aZnxZbEW4Z DUN1cDiUxZ0fD2Gyr4bMjhxmHnWi/vQ9FEe+iliq0ZM4OHymLpEYA9T3T3O1gp9HQFgkNeYXzYno GmWGKNdgVdmVotY3FGdId0sG67WaaExGxxBPh3xwgoepf29TPYFFLoOgmXAmmTuQ1Ll9JW+M6VFT ZFlv8801KC/0WSp9FTUNwPzCBBKZccxeHcD8HxxHPmxDryt4pzOLeLiKkx0r2Eg7eOnNq/jwH7/m Cwefl/zaHEHHCsilpDpyKoulxUyjdyCHO9vyQEBAJo6tIH1kEbVcGKW6htF8HTd/MoL9X5nGxJMO pqcQ7Nk6unvymHz0LhYX9iO3vor8h/8O/VYWk9UeZL4uAn/y/6OJqzhxegoPx7vR05vn/MyufR/j 4a076Orp87qECPhdPvXVlVXEEwv+d5Fw37/Tj0I+xNcyNdEBbdnE17GBqLY1pLpeN7Hc7yB3vxe7 9y6jb9caLvaXkVwNgQCwSsTCwM55FHpqWMxG0UsdUEwb4Trw/mo39sYKOBzKQwm5eG+tGxm9xpaq Z9dT/DQbwfBcDIsLHdjfuYYzyKM0q2PxaQcGVAt5dRKrlTKwhYCghZele+4VZ8klreQzLGyxnrwY hc73DC6WrIlvFSSKi3S3rsBSxYKWfZIoJBYLWwgHb+ZoUfZXoFGSpk0bwpCAcJDKbWcE41PUH1Cd A7ln1PTYQdg7zuftBBrW0eBaEw/mdCWtRVO5vxO9NzX3z4AlFX1vDyNZaxjY+kwUSwkLC6cLyGYU rMwn0b3QnEWmoyMP09jYiKCjs8iuH1E2CLal3Mcn3zsIYy7uHz87UMLwr4xj/8kZ/ptyJ/jBICoG 2HLw31sxSxUX+4/8CB/+yRKOV7M4buagGEBxTsdH/88BdD2/gGpVx979i0h3lDgnc/nCDpx75TEH 4DXnL/DRZQfnXnpD7OGhiz5k19/7IebufQCnU0FhcTdqq2GUoy5GDixi34EFdveWZ5PYXaE9D9s1 2xFjpR7C3R4VZ954wNbmowvUtVFB12/eRWd3AbOTGYyOhdBjVvGwFMVaoobdbzzEjXd2I/bjHdhN SU6tE1ePACe7ljEYLuNn693YESlhZ7gEZ/saVjbC2DabxIX0AL45PMV5mp2auKaYpmNq9gHSvQNb XqPu8bKkJWE4xP1swtHMEttMh3fanMdvGiHz5AFGNWfSZRtPvzjK+4X3RreoOIf2Rw+wPqkmvFJm SrSsMJOb0MhjRF10jWE9KoOlGEVCyEGCIiFbFIVxsOq1p2GN7+1p/uTxTazlvs87Mak/2I+egHDQ IJ+XYoeQ6qB3WcP4/V6kNCAbcrA+nIfaWUalZELrKWJ1OYbHD7pRrWpYmsjgg39zGvn5BPaOpaC5 Cp4cXofaWUK+o4ITe1f4/MuLCSz+ZDvOhnJYdGMIhS3s3reEqacZ1r7tRjxRxuDeaQyMNVoZxTQL r1g5vPPOIAa+Pu3Xrw8MZrG+FsP5n+5l4dsxcgO55d8VzSQ4AStyVI8eXMEb+hiULGBvKDDVEu6v xKHtJ5eUGMMKMosacpbOOSFiHwcXzZNaFAsDNqJDBezdtY65mRSW39mGnRUXF7OdcAezqM1F0Xt4 BROFLtwoJPDqr95DRzaCT64MoZgNoddWkKyIZzyxlIHTuYKcq6P/O5NQInV89+0RnPxb47jnhBC+ 3o3OGDm9gdyRq+JBMYGVO+8jPXIMsZSon2kd5E6FPfeo+imUEdnx3b9Xb3EzN9ITBrlzlb/oqYrR bi9UfkLc+1tnurMXeFOzhqaYwqM9UGVgsNMIVbgR8kL9pASnqM2FE1WCS3O9fS1kEO6VeQbpK/4m PqbH7fKOvX3rpwin/gVOH5lDdj2Cy3862va7ilELdVfBakjD86+O40ZRx8JqFEffGMeu3Ssol0zc uj7Ibsiho7Ps7+evDmD4faHF6M7G9mVx9u9fRk9/jqknhNKcfuEp7r21E68hx357JK8inwshnqxi 7G4fSrkw9h5cYPejWDS5/c/idBq51SgmLw+jhAJe6l/wF4lFbYBMxRcOfhaqy9dE2nxuOoV3/up1 /PqvHWalxEVnZgj3730Et+Mpzj/pwvPJNX/xHwnl8P57gxwoWZaGoaqFnkQJV7IZnEqtMzxNwkeC IFUAACAASURBVHI7HEHXy3N4bs8qu5Yf/OER7CnV8HwoDy3sYlCv4JOlDF7KZLH4boafQSXiYpZc NpOK5xR89bdu4dJGCLFr3ZwrkrnII9EcrixHsO/VBZhhi/lbR3/nOj7ZsQtn1suoOhrurGcwXwux G0mxyyG8j/Nv64j8zX/QVFfUOmTM8Syr0U54uLIxIACkcMlKSMp760eYt+UJFZ8zIJRij0IvLmiF JSX6RO+bBlWmid1aif4RTyT92pHgOSRhT2zXJqrTuHEZuQpsNpu39ArmClproG3cw8jeOf6dFiHV VrQb9d4S1l5Zw/Gd64jGanj5t6+jWjFw4fwuFpBItIYzL074x5OLUwo5zMQlSHI1ZmPff3GLhYMG BcAUn1DmuEytc6gjomJjv17EJ5cGcfTrT6CrLn70X/06LmzLwujNo/SgG1YuBGcuxd2Z1XwIa195 hLO/toiQh3aRn/6ylceDP94H92gW+w4vwDSF60Hu3uJCEqk05Sh0fHzl/8Xyyvvo7oli+nEFpzYq GExXcDufwrZwmZN6NI5bJfz4u/uwK17AfjPPwng0kcXNfIqTfyumihd/6zbnTgiByl7rQnUxinlD Q0K10W1WkfbKiakT4rZQGcRNHrU0rF1K4If1TvzK717DylIC/a9N4OFMApmeDfQkS3hnrQenU2uo PYriVnoQtVwIY7cHMBetYnWqA9+/3wGnEELu9jbOWMYOz6Lr3G24GcDRxNZxzxq+FvcC9HaUdcnf etZgAWjD8H2WUDVvwdamWYD4EPW9dTimIEIjN2xQFIZ3SeNT4C33/Q7SnMXuRo3djhpthRyv5t3b IbelWV2r4Og4i8WF76G3L4eZJx1IV5q1DWkxgnWt1SjyxTAnwOiUJBAUJ+wYEXkCOYiP9dFPdsOd D+MVZQ2PjrgoTPRg8egqTo4uNh2bzpQ531LLmtANl3Mf5MbFnkbw3X/6MhZuDDIhqPyTvQgCl8FH Xi+EsVwL8YKWgwLao5aFn703gDlCokZWWWApv3HwyDyq1bdw9Vo/9NAHyHSt47mzT1FdHMX2ksj5 kGW4uNHB3KnFGpEcFXS7dexTG+5MUq8jptn877lQkZtLZLtsDE7qQMXE/lgOu6MFjBUTeFiKs1CQ oBRtnV1B21UwXkxgKptEZimF1YUkdu9fxEomDvPAFE5GN5iPlrMMXNjoZEBg7P86ip2zMez1Elzj Tweg3OlrmpPy+7vx49uDUDpKSP7WGnIX3sXhEyexvjSHruF9oD4rU3evIpbMIDO0m1ME1VoVd97/ CULRGHadOIeqYja6q8ktTxhhFQkETme7Qcdua6H47PuDtGweEyyYEtuUaZxRJ0HhDSj9ze15Qy3R RoZYqlzO6u3JTTg07cFhUbdFQr5oJ6KSICJ6VIOGnRIjaMGEoEQwPbEb8fhdrI53I+P5v1XNxVzM gUM7uVoK0lkD1X9+Cu+ObqDz3BQzdKc/HERCs7A+lUQ4XUW1aEALOdAfxfBSeB0IAYODZSx0rWFp tRdvf/8Qjr4wiWqZWnpaHMwTfDo1E8fFzhCMzgqUqorSkov8moajv3ELsc4iZq4NobgWxeK/OwU1 56FgVGexbwnnvnUVa3WTi68omA0pDi9E0tQnIlk8WY3CHl7HtY+349CRec6Kc0cW7fuYnExhYMDF pbf3oG9WgxES7mjJ1tiXJ5fvVHKdFyp9x2Q5ioNxYQGflqO8UA54f591CijM64hGKrhtadiwRbLz UDzHCb63VntZ+Km8mNhl63UD43d3YNuGiail4Om/PQ79713BwoV+vBDN8neSMN3IpziYH43lUVlJ IFVLsDtT1oVFbLco1fUIsB7B6sw8lMQdjB4Yxb2PP0D07g1kMmk8Hh9DV08v3LvXEUumsfvYWTy4 fR0dXd2IqDZWVteQ6erG+soy1ynRzmLxVJp3Ok5lOrC6uICRl96AHd4aJfu5BSTIGWpqNEBAsiLy GoTDi91ZNdGG1CM30uDAW1bGeXhZY69CUWNOlPVIJMzCwoxgj9goi4aC302D6N5Hjx1DsfS/4+6t 7+PBxXvoS1ockOdNB51lDT3lZotStoHnTk3jnT85hL/priFMWzk80FFx4tAVhx/qTJUiwMZn+kIV /NbAJOaWInjvB/tw9GuPUSiY3DE+EqnD6C3jxBvjDM3KEbm6geMnp/n30199hHLJwB9OZFD884P+ Mb2nnuBo1yrXl1AcQMVXi/UwpioRrlK8XkliV3qNuzIShXx2OoU7N/uZDHj42By+/sZ9XPqjwzhZ L6In1OCFkdXYHSk0WSUiGN4vJllwSPiWamEcThDtpTHoOmgMR4r4sM/EPajYMxdiS0Gfr1IAXYoj odu4NdeDg6shnxq/7WEKN/6XF/Hc6ASMqMPVlR9lO/g76Fr4OUdrqKsuP5/ZmI1qZwlGrAalaLbn sk0mERmuYGrsFpZmZ3Ds7Iu4d/MTXl83rl3B0ZNnsLG8yC0IaU3sPX4aixMPsLa6jEp+AxvZHJye biwtLbOHMjx6GPeuXiL8FYO5DRifl4C0xh7NLFTRWp9rRaivky5qxW1vJyIacu8PbgnDkCQVDMmW mJR3EDUNIZVyKNTYjJKIFHxSMWhzdXqQkySbKBMd47nj/ynm/+R/Q3e5jA3Twei64fOrgkNdieDO 1UGcrpYQDtv+wuAiKFvngqoNy2DfXPKr6PW5SoQD35MWNcFTMDLa4HdRwE78pa1DSXLp6ug5PY3J bARuyYBzfRBzT/rw3msTSG2o2OtUYWsuCt012L1VPFqK48xXxjB2txcz0xnEYlX09uWxZx89bJch 4HDYQjheQ2ehmVHMs9oGx9wWKuFBMc7XT1aB7rXduGPHEUrnMbscQ3ZHFZUFB3vLdRwMiZqaqXIM nUsxXzhoUAi1azGMu/0pLNdMdsN2Rou4WEljKFSCobqorMf9LPrurA7sn0L8+ANcf+s4rHt9Dd6Z acPuzaPYuQE9PIwOy8G3/7O/g7nJpzj72jexuryMY2fPoVa3GeVSzAhe+vabSI8cQaZ3EFMP7qK7 bwDLiwvIdHYh1reGju5ebKwu4+hXvin2toknt9wC7ucduoS4Gtpc/EULWWZXqHUlbVAjmy+I7c08 geD2QCFGXTj7bdt46613GAb+6mtfRTQSRa1aYjdseXkZ/f39fj+o4LZgfN7A9tHBBojkviWGepGY mESitvVSTS+H8ehWLw6bAqJlmnw9hLlqmK0HuVxcTluJcJ357UKKXRZiArOWr4VQvdeFbTvW/Cwz cZuqVULrxN8ba1GuKwl2HyFUjAxTx/FZvPp3L+Nnf3AaR75zH0dPT3G+5cntXsxMpfH1X7+Del3D lYs70DeQxaMHXTj1/KRf+ruxHsXaUlx8J2XHcyEoWnPXeNL2ZCFax/ZICY/LcVzLZvA3ejY3vpPK YME20as4cFdDUCwHQycWcPNGP1aiUVRWw3iaTWE0EOtVdBdUgr/eU8BLncswVJsrEMkpf5KN4KKW QGkpivhinHeOogVFtRq96Txe6J9H8Ssm7j7ogeLBXtZQFqUTE7gwHsYLOxW8ce6bHPfu6hGVhp27 Nz/X3j1HGe41OgYwfHoAdRfo23aQn0GnIHQj46VVaGY+zy1EyN9pbK7Cg4J10f2PBmVziXrC6JXX JoeyvKVSgW+MchyuIjarpP0qFuYX0NnZgdHRUfzoR3+Frq5OTE5OMuWd9jwkAenr68PZs2cDXfla usEHOufT61TbXLo3+ak3E62riD1N4G0zhl/b/RjjxTgHkuSOHIpnOaCdrkQwVYkyf4veezEthIkG dTG5O5XA9//4Obz4+kMMDG0gkapwmWkiIZpCz0ynse/AYpNg//S7RzBzaRjf/v23MbRjDa//3mWG lik/EQ7XsfvIAlbz1JlE89ExMc8q004Iwl58mkbxfgbPFSzc+8P9oK2JNrIRvDcUw0jWxjDVZ3A+ xRYU9ZZBl0PuDv0khbArIgSLFAO5XRTgUw7i9ega1m5FELdqHNgvf5DGTN3AerKKtOLgzY55vL9D Q3YtivX+MnZ/5Sm0WA3axz3oMKuBfIGLdKyCrpfmMf00g9m4iuy9TozMRZjseCAl4p+925dwt6sI zCdQH1lDz4mn+N7jEMbvR+Gqa/jKG3ex5yjtz6h8OmPX42fJZN8XURPS2Aba65xOWXTZwYQ5VV4T OUoEhvxYxYYR0WBXqCUQNUATQXe1XEYqlcSlS5ewsrqKXC6L/fv34d69+36rTQr0CSZu2jq6LUDQ KCqamZqGWrNR9pqxrsUt1IdzMB6lkaqpiFAncSLphW0ULRNmKsdte6gIiOrLSRC2h0scOBLCQ5bk 42wHIzmtY6MawitKEY9+tAOze/KYmk3jte/Qls1iEGz8YKyHfy/kw7h5bRAL6xF88x/9FPv2CySM BJG4YjQovzHxqJORqksf7EL/QA4bSzHc+HA73LspjN+PIWU7GNEr3HPLDDsY9r7rgw4FR399DNff HsHqoxQG9CrWLOHitA4SBArcyXUs2+QGK/hYjaMwWMd7P9iFtF7jLPpXBlZxpncN51e7ULNVHEjk 0FetITWlYjSWxbViGqN9y+gYquGGFcfIiRlBq7ma3rSEyW28cnEYL77yhGvW5zvLuHN+O3YMz2Mo KvYsJKXApoXmtm8ds3kF44+IVQGM33Hxp//6Q/zDf7nfX0PPKqIiiFdew2cpzf3cCqaCm7fI/m2E EHHVYL3GL9Dilhvn1OwqLNRhRKhASEOlWkRhvYjllSz2j+7D66+/jmIhi7NnTiKZTKOjoxMJ2gO8 XufS2f5+soeiIlEE+sKlIovCW4DVxZYMUkiGhodQ/7038GD8E/Rt/wl2jKxhcGgdN68N4aMf7YVR NpDcvoGDX5lA+r1tOGtkOWh9o3ueP09luaIJXJlh1phuoz9cEaWigSH2zXIxFC5hwC2jMK7DqpGb 1XgUlGchrU+JRGLBHjw6z/Ds2L0+3L08hOpUnIN2vbvCcDO9ThZn9OAiW6J3/9UJvBJbR/y2iVho jcGDdoOgTCtCcZ+DE998hIdj3bj0oAt93Tlk6yqml6MYWhHJx3uIIrNvDWGi5C9rsIs6pswYdr/2 FPlcGN8/T3C5CJbfHe7Ai0c38JcXu3FgZwH7dxTw6sgqtzii0WXUMFsL41Yxif2JHO59dx9TbMrF KBKOjT2eUpmsRlFKA52pEm5+MojhnWvI9OVh/s5NZO9lGEwgMOLmnZ1QlmP8mdmqjXt3o0hn6qjV TFiWgp5BUWv0aaN1/8IvQjho6LKbt+yKF+xZK/hYtNtUo80kxSjUzZ277Lk1vtJSZQOPHs1gaPsI bty8jX17RxAyMxxrENlueFj4l0SZoLmQm3DSlmKqYvjZVK43tmw+jjqeMwDguNyQ+fhLp9E93IPp xfNwHBOXfrgPmQUDv9E7jUUrhOzRPGuqY3oeGaOOsueG0LUPhKgrSRp3C0nmBe2KbjS6eATG41Kc hYMG+fAUuB9x87j1sx049NWnXI9Co6OriLWVGF58+TH/vboshGJtrBtvRpZYyMoLGq5/bwTOUI07 sBA9nIL5xGABvbR/4BZJTzkKlo7QUNGv/jMMB6GYhaMvTvo0+we3+xBJ1JCZSzLyRQLZOn764xGs rTbYDk8mI/yPxqX1FKYXw/hP9otkLH+PZkN5aQWjkTr097rwVTeL6ytp7EitcIae4OCCouKhHcW5 N29ydvwv/+ywmOdtWabhXHgaw8xiBI9KcSwuZkRQAuDQbD9ef/MTvLhtDm897sHsegjHThz61ISh eB4Npq/yc7B7f97BNBUSRtlQu7UXbCNRJ7hZknUrtiYQyRna5qDuisUiGjxE0N3dieXFOQxuG+DN 7ctl2guQ8gJCACmPItrgqKi7ooW/KN9tLrISe3IH9uejNKqXZOzp64em/68M7aWf/jOcSqz41Or5 gon43RiGQlTaSZZIYdeKFjkJwwvpVUxXouyL0990TDCQfVyOoWqr2BNtrlegAP74vIlrb+3Cwdcm 2JVYnEtycE2Ddpa6fWMAX3ntIR5EBzBzI4GKEkVayeN5cwOXZlPoPZ1HNLbKxy6nLHww24XDiRy6 jEZXEn/+AdyqJvFICSNhr2NjPcKCRbUeL71KxVmNa957WDB7FxZo48/Nq4VcvQ/fG0Q9WAymu+jr pQ75OipVFesbBv7pz0bwd05Poy9ZxeNaFKkVF5WFNI4ZZY4OCcAgF+3lzDIDG+NJA/Gqi/HLg9h1 YoEbaWwbXsfCXJJdynROxYmkoNNUTj7ExdU4uvrWsbyRQF9nDnviBRw8JmKUHysnnkExbF29gdhU 9sDyFvPnNVgQxaZcfF7f8WttqCBa1hArmYpwRP2HHIYWheKoqDs0gaTtIxjaOYhqocwLU9epmo60 mSh8IiGjpsYSGq5WiqhVLK5NdikvYolGdZxvIYq8bM8f6NhIsQ6RJ/sHBhCNxfAowOFZtw0oUyHs V7Lsi9Pip6RSsFiIBsG91OZmSjNR316CORnFgF3DTDXCSTziCbU+JspYR1ULz684uPjjEaCf6jDW eCEQzXxxMs08qPXVNMq1/xL5cyPoGRjEwsRD3LvxV4g+dxU9fQJC3TO6hI27HTiZWmOX71Exxu4e WS1ChghFm6hFEXllAa/tX+ZpH7vXy7SZQoGUjsF8MkLS5maTyGWpTNrln+2UKVmusXvNhMCXjxfw 2711kM2YL6u4t6Hj/JUO3HkSRyTm4L/95gS+MWMhomZ5dRDylTTEbsZkPU4kN1Df6Pj/mnvTGMmu LD3si3gv9j232rL2fWVxZ5Fssns4PdM9PaNuSSNhBC0WNDYgw3/8R7b/2jBgG/plwIYB/bBgYOCx R/J4oLYMzbS6W9Mkm2zuWxVZZG1ZrDXXyNj3Z3zn3PvejagoVhaLBHwLiczKfPHixXv33nPOd77z HRzKNZC9FMdr508g99wKKjMtYQbfujSL52Od6P323EDsDzsCGvC5EGK/0soJICLWoH5natn1tGHZ uNZ6fBviDRadFFpL2MRThOJG6HWUucufmQFnbYjWUHuiZzs7NwOP7UuDGBKsYYeHzrCmHy4BqW33 PZrvQMpH+WGSpNFLPbutIIyhwYrFZEp6dpCqwiEZezZ7MQVCHPam0e2SWhRVwsbN60uIMzYyIz6M obqRw6e5QFwTQrcvlNdkkbiDddlzqS76r9zFwcMrkuMgW7d6pQLvfFEy0rQYdvD/HzVYFquTo7uR RHklgY1Pc1gbxpAeBSiOgM6ZFm5d+wlefvlvKV8sGGFu7lms7T+EX7/9X2P73SpmyBKuplG4lUQ2 08b+TFO+CCIsdbKysPm9tbuLPzi0JugXx9knbuCLzxeEhXz3dhGffLQDlUpbiqwY16yv5fCLvzyK lBHC6vdI+hyK5fnyegV1pz6f1uPczAD7Gx72m99d2dnFD5++iUPlJi5sFnBgpiWu0WAUQ22YEFoK 9Yltyx+6qszCr/WSmM/V8WKqile/KOGdQNkASz/bg4Knbqo819gIr8ws45NGURA4oon8+YN6WSgq 2WQrVPV80LB5aDl0CwIPX2eI+JwypWT49c2GFDlxAeTyOWTzGdnFh0HftD1JIh4kkB9lUas2pMIv X9TaCdHDYvGyKcpnriTp5yT4pqvUaNUwU5plIsPELtp1lYuArREsT4t9Pmw7BNWAUnavlSGySvMc RMCWfvYuuhf2onEwhUxsiOtXdmLuwF08U1yX4JYIFtEeWgs+FO6yx7J1LA0yUh/95O5qSErkF2Vs Pijvxui9KL/AnMKv1ufwXHkdR7L1MXeMu+D7/mn0chV0EjnE+4s4dfYF7ccn6pG6uGfmZvHdF/47 3Lp1DXeWfoXlpTfwYqIl17jZ18XOs5ZSLKsdYXdqBO/kKj75aKcEvQQEEokhvvhsAScfuyUJy3Mv qqCdHUtXZmX3ZtKRVoYt4vJFFpqN8Pl7O/GDH95BttDBxkYKb766HfOZEdCN3OpcYohXDtwU6/rs 7Dp+trZN3FHPIGIf1stCPaGA93IvJbyqotcXyoy83hugvOzhVr6CbdtbOP6TS3j/p/vw9LBpPp0O 0lp+sb4gdSP8eqM6K7mbpcEM5rcQpNthYxBLYPwKaYNHGtah8kUErJJHLK5IA/vNtYdVVTU07k06 Ruauj8psCRurm2PExLRXxCDoYhhwgRXgI6k9Dr0+vMEA9cYmMmn29aOqiYrU8biBdIFSxUEmHSWj z2IrTwNKZu5pzURC37mBn7zzIbJvLGFXN4VWdQ/oXu8dxnBrt68Z5PgITxSreGuzgnKij/lEV9yk n/bncOb3L+Hum3tx7cosjp2IKvMYCO8/vIqb7xzEaieB22kfK34SC5mOuAVUVCTfiDsebSEXSPLY 9/DkS68YqVEToxEFC8X29HcEGErlx9DvncCFxEt4s/HvURq9jdjjNRG3460szbUwP9PGPCdcvovb t0r44N1FEV2jX//YEzexuGdcINsmFtlZ93u/86WItKWzRAVHEutc+dle/K6/juXTVZz4B5/K8X/x P5/DUUPxtyPW83CnmxbIe62fwrFcYwzde7q0LpA4qxCfLRF1C4SewriEbuGtfglrhZM4eeRvAB3g 4uV/h2YmiU+aV5HqVZEMOlhMaLkAFyHdqyvtnCxCLq4rO3Zuyb3iYnDlRKXCUPdboad/W6iWXygx KzymQaNK392RyGcSoYr7aeRySsRLpHxsrtbk6OJsQaknoz5SXgGdUR2DoBOiC5lcHiMBr1mZmAaG rJ2uI18sYb1WRUV6jii9W3IvVvfXtGHQlm/9UASbX6tLtzBns7KJEdZPrCNe6qKd6+OvC1kcXR1h T6qF47m6WJATRmyu2vOQyfSEq0VY0ouPcOjoShTcxoClPUP53bmjKwLhbv7pARxP1SU2+KheEmtE /tH5zNM4++SzRmXS3DlZJNrXz1pAW/PCRUOr/Njjj+Huysc4dO4L6W04LbBeWc5LXcjv/v4F+TsX AQN0ijK4x9OVOv/hDjz9/JJYi1JFwQUmH299NofT3Y4Ib68P+QzYpDRAItDiMnfQPb3azMsCoQrJ UUfGtTvSLy6OlyorKm0KYF+miV9X5/CxdwqHXvgxXty7B/lCTqpMDx85LsgjIf16o4FWbR1vvfav car1lriRzE1xYRARe7a8Do/zYgvDygHRcrhVgbZ3yDfVMGdyONkZdZXEcvAieiOkc1nE0wmkk5mQ c5Ur5BArAM1mG/UNtn4mu7SHUZ7LWdsf2JZsdNGYwkt6GVU98WPIF4votNtCbuTgJFP2b1QdY3tl cFjFQbJcX/3zv8ToLz8O1TfWF9p44Z+9hqyBN4navPvLA5j/whPOFXF4ugV3vQRIzaLLcebFJdFz 4lBJzAEuX5oXaczv/fCzkFJC1+uzhREOV2PiTvDrzc0Z8c9nXv6BEC+Vn+aF4toWiaHotlVXjEQE 9KfHz/42Xvurz7Ew9x7OvrgkVoSDC+HSxXl538ef/jJcDKzjYHtpWpIduyICIhnAlO2x9SRuYD7/ RQq70jrR5ztDfP7uLiSKPfi1GNazA8w1o8dOlaR6J4231uZxc5AEdSwpbbR8t4JYLYP6fBPFXBsb gyQaI+C8fxLzg1vwD53DC9/5A4lL6VIrTcio/7OWO+GL9BHmZjG3/T/HX/7rP8Hp3s+F1UAh8Mut rPw8SBa2NFGTRuaE+63AsM7fvi1NLA65UxG9nA0906KT1R7yYcRF7kd4WdBdgWRETm7egG47QDaf RavFLkZtpHKsmSjAM/3JZbFJZyAP7XZT8h4kMnKBFEoVyZ4ySM+axpThB3YUGOmC8ZhWo4HO25ew dyO6G5laEo1aKlwgnFTpUgerA+Y7hvgPKOHgC19icf8Gbi2V0b5RkUXErDbLW9987YCoBBIZOvOE 1p/bQT+fngYfBkdjmEC/tA8bR1/BqUOHw9wR74cylE2nrcgQj+kQc4GvLN/EZxfeQWk9gcXbGbxX PYwTv31VYocrX8zh7FNfCklxcpw4fRvvvLlXgu+5+YZwv9ZWc4JwnTx9W2IVO0hlSTmWZk+qjdh7 OXzW2oa/vfM6Pkk3sXRpF/KbKaGyrxd7SF+fQa+5gKIX4K62k8SeXlzYubP77+JsZQ3v1GfQO/Ij nD33Hel0dahSQtK0kyNczxhT7kHYaSxCbolgVhYPI1X7mcQ1pPeQTCkuq/SA39qwBVNCOXEWxdfp +7HVMTW/32l3pSgqUoaQhgbIpLVll1zgcITKXEZ20Watgfw8i6BGEtyzCbDup5HO7KDXlQWSzRe0 Rp2uGREy0y7BDtl1J1oPM5j//KOL2HaNO390bKrl48JbuxE/dx2FQhfXPptDUEvinVoF368sI1fs 4NiZO7JwWL03t70h7srG52Wc7wCjQRxPn7uGN17bH6I/dhAFmq0D14MyVlJ70Z07jLOv/E3TZVbF KWwdZCR4Hy2IEIEbDnHjy8t49/2/wLEz/y+OPt7E1WsHsZtFSnfieOtfHcXNeAIv/eDzqYtDzxfI AuYimXu5IddGBIvw8Xtv78Gpx26JpaH0zzu/2YuzjloMYdqr7RyOZpWndXpmDfuf3MTFRhHvrs3i +ztu4dLyLGIXt2GhNdEf0QNKyZ5M5GSmgNMvfleIqewHaXvI2CSf9sKKyqkn1SJPnDyFi1dPojpa R6G3gtVBGvFeDOnC16elf5tw770t2MIRiGJ5u9EUgQLKkUoyTw4zLoRpk6D0FFoZ1g7Ql+yjN2xg RJWUkarDS3xBzd1EEt12S/t9sLmn6LHGxprsqL/uZPPN99pmHTeuLGGys0S5G0fifzuFV9/dib2/ 8wX2vZ+VAPN4ZVnkaJJ7NkJXhbXYrEunCsp3UMP8rQEu9lP4xf99AqVdDXzw3qIgR5Tg4fjoF/uR 629D8NIf4+yJ46rvZYCEcIe0RMuwccw4ns8SgE8v/Bpd/Pcozcax78AKBv04Whlg1GLTCXjYkwAA IABJREFUnyFe6jeElnHp/IKI4k0bFIK7+Ol2ocFzrK4UpKCLBEou8F/9/LC4Zfx8VK0f3IxyHwyw zxaqY/A1g+UnS+soJPpCkX9+8RY+SPalNLboIFx2sM5kuPiM5J8kl2VbXXha96Ol2ZHoh4WWXF4d Y5Sn/t4/k/qimzdu4wg83G71sf3gcTzqkEafWyi9/TrD7/W6phG96laJuoi08k2IaxU3fvQk0hC1 Ao7BT3sgXBz3R0jkGMhrTNHtUpwsKbuoiFjnFc2KzhHtstKERyag5lnYVoHnWF1Zx/v/5z/HcL2N G4d9pJbzEpzHBnHsWUuBm37LH6J5sYKyXw/rPF6srOKdWzlc/HAH5hdr+OVPj6O00ESqHceuREeI izviXazPDPHUM9exupLD559uE9EBynh2vRx2vfCPcPT4MYmRbDGYK/A9KZjnWg6Oa9cuIF35r7A4 18Sf/cmT2Ld/DYnUEKUVDx5jNgP0MmhtN7lR8PWBWIKPPtglwTeLqUiV//7vfSrxCUd1PYPF3Ypq MYnI8uDXfnkIz7xwVfItF97UVtRE4PqxGN5vlpArd4W3dbDXC+vZmQBlgVQ6PpLGQL8cePA/2Smu F2nuLT9AfOBLPqjtlbRrsM9+MloKwQ3N9hzUeMwR3ZB4VuNWLiarYs+5dujIQfEuSp0RVsiNxf9/ h29757kqib1uN2yEyXxGwmkZOqnQzvnA3YGtthq1JnqNAVrtIXJ5djrtI53JGB+VXaVsw08lP9pb I7QSK35t+GDSCi4IcPvGTcwn2vidxSV5r+r+hPivb5ONWt0rD/FkuobnhlUVcTWDQgTfG23iwi8W 8Jv+PimgeurHS3j/2vEQEqQSyp7DqxIo012hKParPz+Bt984goXZJ3Dk1Gkp+JKH79l2zk5pgLA6 FVRwxSh4HCHqm7f/Ak+9sCkxA/lbv3ntADrLGezl4ndG3huifDWH21+WsHNPVbRyiXKdPntT/v7J B7vw0Rt7cPTxW8KOZT7E8q7Of7xDWtHt3rsuvVA4hosdXPkyi89HWXw5A+zZX8Xpl67I5/743+/H 7HVP6Dak3lB0gU+kNfIwU27gUnGAmX4M1/dtYlumhRmp/+gjzeY5w6HEkrSYFBLMZnPyOfl/6dpr FgcXkFWssewJ/p05rHRGvRGquVSSwN3mAHHTSHSrw8IhVkzu27AcdhBflWY5KjVKTD8QGHZt9S7K 5VlV9pvo5eH+3/rj/JkJxKDA9sRtbKzUELAOIaWN5cPPYNwU7kSUtbGyQS7dgL/vd/uo1xo4dvwE Vuf/S7z/V/8THgsuCBuX41R5A2+cTuL2WhnPTqF/k/LyWnVOoMnvF1dQH/m4uVSGd6COO5fT2JVs Y9bv443f7JDFsbJcwfL1f4LF7YcwW2rg7vJl9LodZPN5JGQBTxlOID6p0qI9Hjcl0/3pJ9sFpmWZ 7kVmwn817ndzv30yVcNPf3oY8//Je/D9QGgsrVZSAAgSAP/643lc/JNj2EbaeiqJW7urmF1oiMvG wN0SKTkWn7iDz1LbMbtwB/muh6eei2ppcjubePPjRalX56Ig3Mr6GEK3vFe7Ty1J2+vn0238rHUU g5nd+Gg4QqZQkriRLjUpP5zw3NhUXzyqSrVfYe9Fuj5yL7gR+uixwRDnQzBCra+I39cZNu6wur0P 2/hzq0ODATO0tlw/jATiTrA36VZMTgzp1mpuVDaXCWOLtTsbQl6MJ+NiaayLFZb0EgVioG4Yn3wN 3TUeu7BzXhbf7vweZP/mf4F3//x/wLMxrc1gwdMPFm/gTwfM+sfRHnl4Z3gUafRxIn5VklnkONnC IZLwKDHK2obEZQUg6I4dWQ7wiz9/HLM7f4inn/6x5H6I42+snQk7RenilaBr7H5MfneDU8LA+/f8 U/z83zXxt/7odcmIyz3ueKg4om7R+YDFWAeNWlpcI3axZeXisZN3ZAEvHNzAoXpaEp9nAPyrf3sI s6dXp1I0dixuSmEXFx6z7O5Yu1TBqVxNRB7OFjalhJYWgoIPtOE3ekW0Yjl8GlvE6R/9E2zftSge ADUJaPXpaUgbC8rIipVgPBLNjXFNg3EZKS2068gC6cLDnZ6HuKnx2cpw57+1IEqejTrkfit0d7dZ SxCPaTIvX5TmneMXGKmf2NfIxYoAtrpoHEKdT8RErjRbIhs1jdpGHZvdOlK5hFBaGMCKCryhkwht vtlGrVqX7HkyrR1i7fvMzs9i+Zk/wpXX/jn2phpChWAya9eCj2ujI7iVLOL5P/iHUgH5b/7lf4tz hRXZFe1ghp0Q6OaVEiqJaNKw5/tM8e/gibMvwWesIejDUGKnREKBBg2+7/8gJQJxGt/YsXv3Qeze +RTi8dfk/5QluvHhAs5692bFOZlP+0389P86jtmT6/jRjz8RoWu6V2//y9PY77Uxb5KeHPuGPew+ fVvij2mDNSxsLffx+4sSU9GNZJVj4k4SC8mqqJFwUImRO/DNfhFXS8+i/NRLWNixCwsJD8VS0emb 2NfWaH5c6nVsaz7ZQCb7w5gOvffqHOjdEumoOPltQ9y7Vdx/TNaDhA0/LbPXqDF+k4jWGJtXdXM9 EYWTgqZ+f/wDOovpflpW1uoIMTEel9iEozJfFrO7vlJV+SDpRah+K/vuLd9ek067i/sYnGpM4pbj cuw5chTv3vq7WFq7jky8j0F2AU989/eRzqgABHd/NpphP419mWvhhyTOssPr4tMrM+h1kng9fhJ7 +5dRCBq4vOcP8dwrvy0P2up3sQisWFKFQXUhHS3haZ2xxMZHv3NjlHLpsCQAeebbb23HrtoItaw/ Jg1qB2OrJ3st1EstWRwcRKv8RBunMuNq8kcTTVy+NIPy0xqn2EGWcbuVEr2td3+zV5DI/iCOFHs2 vroXj8WjTeP8YDeuzz4hceLsnsM4d/YJEw8qQhc3eR4SV0XmSQrqjJqN42KHrqbdH2S/iypCI0SS uaOYpI/pMWTjQ1S3yOSdHG7cEaVodbHY3iLfCsyrH0x3Ai/B9XP/DzD52jGXzGDitt2BPZ5kSHZl Ks+UwtewOeXcthmxGq4+sKVp6KSj9JCPc9//kTblYcKx0xZI2k5uLjp2w5rZdRjB5nnZlVsjH+/h FNZGXTx56FVs1p7H4WN/BMSoebWEMydOiU8duQR0FTidxzcDV1Rvkp7t/t6OjfUN3PziPL688DZ2 1HZgt9/ByeQm2nn1+8+V16cqj5S8Pt57cxF7j6xK/EZ3afmZKr54r4DDCRIAddAtql0qo3Nq2YAa BFTieP/N/xjp5CK85Ovot/di2M3g7V/1sWPPv0HvchFrXhqX/R0Y0bo/8xP87tnHnc9uJGhJIBWk KjCbHhdL5GFqi2+zcVnZWhOMy7Nz4xGzUaoLpvcpbrIm9WEcMZuJfchhC6isFXELqL7RLrd2dYeN bNyqQpWtC2E77pRMBg5GPSTi6THI1pUv1b6CtmRWmbjssS7Ex0wKrVobm+s1BMMAhUoem5s1bN+5 EAEFAct7TZsyM/g46PIRSbEQIo/nrhYKlwqcGEdp8QCWVmfQimVQ3ft9HH/6JbTaNSxdbko+g8Ko lUoJO3e/IDIx+jFVksj2ebeDnbXYgplSRUIpIcvYTIbJhWJ/vnXzFt75s/8Rv5X5DHsRQz4bWQvu mvT936jOYFe+hQHFDmMxrDcyQse/PQMcf+aa1L2zlJew79nnruPN5iFs+zwSpb7Sm0Ev/QNc/JBc OsLkXXjJnyOX3Ydz56gM/wd6/UQLgxE2qj/G2tHzSB86jCcXd6pdDmXMzH4v+Q3CuNq3cjgkcsXX ByLDQ5jQ8yX9GyFWwfjimBTgEOYFb5uxwppkBpqIo8cUwTc0kSVjMKUPiG1r8I0Jx3G4LtOYdm4M aPVr8EynqGluh75+XIDBnkugXtJYOh3MLcwIunX39jJKxZLgdaSmcAH2hz2ZyK6gnL3OQPojjmTS kuogMqfyBtG1H3vyBaztOYa0F8PxbfPyUGYwi3z2v0GtvilPSBQgY3GkU1kNOs3En0Tp+D6qIplA v9cVsiaHtW7usXbU15ZxwLs9VVyBg5O8kumh81urUolHS8E2DCRQHptryaJgie7FC9uMgkqAoK+i cHaspvbipd/72+KmSquIeBzt9k/CltG6yytbmC7R/MI85r/3cuhGcxFw8lthcR7IpkcqOG5aYQTc meMiVp2WNuHa1CgW1+Qgz2GHagiwr4sv8afLQxetAdlcNc7lM8slybf4KrWx8cG2bJMTfRK5soG7 7TJln4gVrf46wx/f+aPhPnSle+gNF5MaDMZN6VQ3zPUMzeQ27Nb5nbOGxxPD9l3booXEnWrUCTsx SHtluljiC6ulE/Yw+yVyZyMIZ//m7PucNDu5S4qgXVceXrtZR7fTxsLcvMCVbDHH9pKEuE2/hQkZ O+cecGeSZKZpWGrci9CymtwQOWMba6tY/eCv8FxaRRDuN44km3jrUhmHjEidzeDbwRiCtPx3f7MH Zx6/iXSli5UvcthrFl3A3IFxiTTHpDEd4zC3SZHGDL7kIOq1TVRmZlW5xlB4rHvJkUzGtKuXrwuk R80AUmqGWsMTGCTKfu7ExAbBa2i3tFV4qKEmpdN2RmiykFSmJBIoxHpYrdbk+EyhgpHbFZhX2SHv jAo6OYxYkTcxJq2FyK2ZWSeLwpmJwaPkQfhgubKlm1MYbA/CpWh981HQl+BqUqp0CNaDkIg4EtfL j2st+mTWWUl7bMQTtZIOjwkG4rrxPZJSm6JFWFwIbDBq3S8lqkUNQxV1MlbK6GzJDdFIM9xNCTww 8PacpJS6l7qQrVtgm4e61m84GujvzXW7+Q9eMyecFyTx9quvInfhf8dTqeWp/QvdQYg5vkrrRSRv OuyyY+em1KO//qsDGHb+BtJnd+P2F6/B69WROP6SgB1hcOxck0uYVBdZE3krQhgtCRcu/Pw2phAL QLdVT8D7Hrf9JU3SVnvXqwyU7efueg9ikdMqIphOab94uzHaTsgc9jn21m/h3/4ff4ZypYLDJ86g sn0XsoWy8PZioz4uf/AWPvjgffzk7/1D9BJ5pOcWBXCRc0xzp5wtWXqAfBM9Crko+EV/k8JwUu3H 4NxOYPOWVDDpjRoYBAMkYpl78H+ZKEEM6Xi00idbQ3PYlgmu62V+kMIrG/PYByztF/jgDPGRwbmN O2T3nCjP5XuS4sK+J4pKaSde+3ftAc9d0kz2CWs5GVPQv2fWmLCv0ioiScXesI3eqIWMV8KHb74K 79M/x6K/IZ96qad5iD3JcY3c+w3S3elmNetJSRAy+87iKZYFX79yEGfPHMbpp55G7NzLsgOTAX2P 1beIn+nVLsLhBkavbW4gly8JqBG2G5Malgh5tIVfwkoWdG4k/+dCsfEmrTpzIuPwrXPP4jGkkklx o/nemXR67NoY0/H4dquJ/mCEzWpVmBvz8/N45/X/IA1baUmOHD2Kq1cvS/z0p//rv8D8tm343X/w T4G08sxiD8iiu7+XS39AI56vtCC8fDWrKZmM3S7hXd0xAraJpgrWiLXDPJpBLjnRdskGIuDAm5qk 5WDRk7gsE5CnIe8pGnJvLoXxB3c6Lj7S5aPdzZNz09zzPbl4QxhSat25p2iArX402zSwlZsiL2EP k7H3NA+Ti3Kgfjg/qzQPtWoq5trZnlmLt5gvUDdQ6lxiMfSHXSS9nLw/C39ih7+H6/l5BL06/Pw8 Gtc+QG7trzDrR1nuaYNFUnSnjh5fRvZAN9zF+Rneev0Ufvg7/xnmFubl/VMJD6lM6r75Bv6Ou3zc I7JHCJ2fT86GykzZUIp0o+FtkBjDumQhEZFwMfUF1INQa6ELzQUookI7us6mjYboMceQzaRFyca2 xwjvZ6uFZCImQX+tP8CZp55FNpfHyo2rYkl4PS2+rqNUFrrAa2sbKJjUgx0xg1zZxjjThu0dIsfS /TLHPUw84tOshjfaVMOlUolwQnd7fcT9IZJ+HoOgDWm4Z24Kv7rDprggnNQJLz1mdaypd3dvPjjr dpHn5e5e8XgawxinXy9MzvEDhj3TgwCdbi+C222yigG9obswvqBIHc+nC51m0oAEZgHowmDPd334 1l0I77wBGUjk1BYQGSPsYnZW47olvJQAFvy8Z55+BqPRU+oWGhGY3omT+PVfDPFE7Wei1dWhLx/j RjIKcxav/+qgbEbPv3R5qls2GmxDpVwS6VbRIhOrYOIAm18wMZC9MVKHM4or6TTB1hU95KVzsW3V reTQhHWhJSUdVUEyKai/j49vZgayHXPNAn2GEgva6zFJU7IJmCzmQiGzQvtQdlFrtbCy2UF6dj+e fHk3vHQOgzqV7vvSB4TXzRt4nMVyIujHytIugnRxPEnofGzJfzi3z6LHJGjwWElyChD0cPUjCsmY QhdFBaIbwpWfgC/tC/pdsjXZOMfEIIaOkornMRJ0hXuUJvjCDrYGI7czj+fv9/ro8yN7quc76Sao L6yyEgI1sgFoWhOKnBxcvG6ArDt6RIqLEp6k2rNPuxGDINpldk4O+uRcJPyiFYx6nrDXoicPlteQ Tme0Zj6uFsZ1yxhv2Q1AmbhRA6E0A+ZkAtn9FZzvDdC9XkAw00P1bh5zwQALvSFSxzbh5fvCpZq2 OOhmeby/YtXp/po4jhMpOQ6zh+GHyW5TwZLuCv/PGhZ2DCatzuakxjp92YVl1Cz5ZeObkViNe9t1 h7Uv4nbx2QtrM0TU7HF0x/q9lrh70vM9CLC0dBvZ4hyW765g14HDkhWJl7aFXSlc6Nd0zxRo2M6k SYshpMX70N15faSiUPBa1tRDulnhtdissc2BuEG0dpBigMakHgN67sRRWSl9ej1WF4qF/3RC6XdO bqG1SyCnN999DxsgCzPWTHY9RnekkHKuqRUzGzR/IVYwnCj2wQ+1ICvtS/xiLQc9NbUk6p4lOfE9 25JaQYR4nH6y5m+4gGRyQL/b4D+sEDbvbRcPj7d9UzhSaR9Hn72mEHkzKaWyT710GZubGewudvDr Vw/gsYlqRjs+O78buezvI5XJyOTqm/7y7NBl20twEGHjDGHFp03GUVJJA2pStnWTsLkttQJR4k7U +sXFNcqCvH6zOOJyfycYBHDyYuZLFsdYUK7xCjUJ+H6Net28fwzxRBp3NupI75zb0iSdpI5YVCpk 9E7kOpyEfjTRTd36Vlq23dMfxA22JqkSboAsxVFphRelmswcz7psu6tPWgR3ETDO4QSaPM5CxWGr NifZZOHKMT/bIDb2HG6iyp6PO5ad+KHFk8It8jPVkpDmH9K0zfXTWulEi67dyg5JHzsjwG3/PrnQ bfmAHenUIpauzgoJsdVMoFJpSeUi1Qg/em+XiGFbedGxSTFk7qKOTz98E73OUSTTZFx7Co+La6OV hvp56a7qOTSWVLYsoV226ZatLx6g1WqLNRFeFcEOQrzm3mneQxeRtRwx446pVdJuYjZeoVSTuGDG FWt31C0W92fAGEihXoljR31kM0l0u4zFYlg4eBSpWFFIkA8a07rc2tJbWcf2fjkVCJb/aF0r+3vP 7q8PsUhkgUxOrhDRsTuFMzntZHMnh/YkdBKLDnkvJLIZt8e2jbbvxcFFGMG9CmBbyNYt4bTncK9J HhYhSUuvth/M+OnhLmmuRa+3LwvIunj2vPb9rbWxFixajFrQZfWD+XoGwvb8k/ePk2ll9XUsHhig tGdDXCk7SFwkWvXYk/dajxvXK7h4/ij27vpPcer4rFgAom46ocx2yVZnHSrWQxYky2C5+NXl1InO xcFFRdq+LJyYagCQcPj6a6+jurmJ7373ZQmGeRxbWjBWsJ5EnK332hqsC/olCOBQYlMuMuk2Zig4 9AoE+eQCMj/beMXz0uG9azYbaHjseLu1WvRp89hOcKv2biNifQ7RcZYK777Of8j+IWGiUC/GSYC5 VXJmN5/kHNlgW+IOt32ls8OHSTVTPchJJSgL4UVmUAYtDIMBCkmtgptkC7vq8+YAyXy7C8K1NvZY 5VONT1z7JUG/oFaqFXzPa20+JUS/lKck7gfdM5HY0MQgZVbvHdECSaf2otmYxeKeS2NHsDZ+0QjY 6fXFsL5aRKORxp2lf4zTx7+DUomBNUmYGXFpLVjBxpYU0+DE7XZappmRL/ek023LsaJ7TEs5pEhG C9lCQWITWvDV1XUsLy/jxRefx4VPL+CjDz+W/oDNRhMHDx3E7dt3xPoMh7RMfeG37d+/HwcPHhJN s1QyIZQhpeXoUMid6QA2fg2kfbU+S9N/Rmg7MfTgY0RwYwuTUxz2KSskXBBTWiDY2hBey/2C8Yep HQldLLsQ9GGF7Kbw/5OLI0QzDAJm/zaW/DOVZdzN7e+FCDfooz1oYIgh0n4eCaRCKxDywPQCwqSk 1CLQpgozYnwRudZs8vfuTVEeF90QmxcZP17hUaNyb89hf56g+luXkRZR8kYTTF7dOT0899wf4vVf s1f7vxBKCd0puk+UEf3Ob30hC2Plbhm3b5xBMffHkjh84cVTEpAzV8CJpvpghEtZq8IJqHsgd+RW q6kBe4yLXZkGssBFSV8tYjabDdvd8ZhMJoNmq40rV6/h88+/kMVw7dp1vPLK93Dx4ue4dm1JjtnY 2MCZM6flvS9duoyjR4+hkM+p4j9ZuaYlhrgtJs6Uzy0i5XbD0QfJ3A3drVEiI4DHgwbPeb9E34MC bcYs97MSo0eR/bEuRoQS2Xy9flhCugRhaaoTLE0a9YzEzziXy55PLcX43yQ2MDsK+xYmYtSXGghU HCfMYqjSYhUIXZhEl/QSgaeLzYDbk4v13jbWPM5wjiRYJN9K39tdUPxOGorsPOIORJ8jvB+OlbKf Txe7lRyysdy9XLazj/19/Pq1PA6e/F+kgQ4RK/b96Pd8nP/wJSxU/hgnjuwTrJ/3jOekjKvswsYa ssqQH5qoXjKZlmNs86JCsRwqzTCJYvMZVtgOEtsF6A8D3LmzjB07tuFHP/o9rK2t4ic/OYG7y8tI JpIol2ekn8vzzz8viyKRSCKf1+KytbU1FFkxaqaYCndoObK6vapwKHC8EkXU3TMUHMY0mWQCm11l Xz9ouPGDOx4Wpp0c0o3mISjxPikexLJJ56CrEzfAFn/fC9pCOaFQtR9QUjSBzpAFOj30QSX3QBZI 0suiP+ogFsTlZ0kUapp+bBLKRO8PxDwnRxkkPC4Izb3w2BBBMxfHwi0G0ZwE3KV18uu5RWiC5nww xMqdFSERVmZnZEe278fP0BnU1PqMUshmCmrxTb7HRWYIi7IOP3QJJmpg7GKJKgyty5gI6TOuA+Ba r0KhhKee+CE++TSOlTv/Dw4dvYi11QI+fOs/wtnH/rEsDBcNs2eJerbQ8qprKhB0vyd5ASbRGBuw 63CM98JodNm+LoSGGZdY8OPLpSVJHJ4/fwGPPXZaWuV5ZoHxWMLC/J211h4XWjCS9yoWi8ImsDEH uxYTwrUZeRX6IL3EajXrZ2i3u3K+QiGPWo/MXrpeDx7TFofLr3pU1q8N9B80/NaAkpbUtOVOwV1W aebctVKxPDoBe2kzi84bw6CMybiI3s44otXfNHUEvmTV1Sro7qUPS10XYYcaCFT4Wkb/imiMZrAt Fj/CsN9Bu9kQfS5mV230pfrXUfaXvdd/89e/kXr4x8+dRbPRQrfVwZ5De/HZR59h5/4F3Fq6LQHr vkP78MX5LzAzP4NMLovrl5ZkQi3sWMD68hpWV1Zx5qkzUgvPRczAuNloYHN9EweOHcC1z68hXypg 155Fx3rpdRH50t2TY7yQjNc7Oz+Pl+b+PpbvfheXzr+GnfNFPP30dyWZpslaA36QGuNrOSurI3lf UlL/Moos5aAvMZQnomvRYrdUfd57Xo9FF1lvQ8vD8965vYxyuSSoU0BXSerKE8hmMyaRGw+RPg66 vvw93Tvb3ptrWPh7IjBO8fHeGAvBulvS09Ige7otMePOePXBzN3JyftNLA47trJA7RDDzQCbXCou kjCjbk6TiudkgQj6M+oj6aeFgxSiWjaDTUiPqR4TAdmEor1hlnEqWW8XtpVjdXHQbRCIVWKOHkqV WRWYGwXwxZXjh1Oimzs4obcvbhcm6y9++kv5Prswg5tLN7Dr4Dbcub4iD5Zlu19evYEb127iwJH9 6HaYKe9gqdkWSdXKXAXXLi1h9e6a0PGpGsljF/fvwsrtFWkmevvL29i5e2fI/rV5Is3c90LLIX66 QcCUWq5ttOcXdmJ+4e+ErSCMPQtFr3Xn75jz0BXT2n69/xp/sDSDU3/UU15TRBUxBUkGBh50dNHK FztA7diGmZmKWkpZlEnEZCGbhKpxn5TsqTktfmPAT6vF5yS5LEvdMJsAC9i4OfIZKsKln525GB5M EQ6ltliJ1vsPJaOO/+6b7Ef4sOfyWUue9gqhKecYD9wpEZPXBxQM0R3VQ7Kb3dHk9bEYOsM6gpEv vK1MvBRCv/bBcQJRr3USSubgA+BgMx75jgwa9ZpAsulM3jww7WfoDu6Sjz1zBqeeOCXm/8DR/YL3 J1Ip7N6/KK7Xzj07NJNuMui5Qha5Yg5JtnkTpGYg13X182s4cuqI5Hq+vHIDJx8/IYvm7s1lnHry JL68dgMzC7P62e+pldGgnQ2DxApw1x8O0Gg2hUnM3d6K4tnFoxNsIO5JhxyyDl1aBte+VkrKTqyw qoWh+Z27PYdrSa0FCflYo6G4NbrZaU05YdwAVBbpyGKl4B/vOyevqGE6dRt8Ua/Xh28EuVl+nUp5 cv/4mlRCIWQbf/L+klLCPA03KEuSlLjIuMRtEsQfEH+4kK2d0N+ktKg9l22Q86DhezEGTebGmvTk ZJ7CEol5HOMQP56UgN2mtUVydDRQC0TNpFHjno2CZl/zC5YOEaFihC25VWlLNn3YRFak/sNPoN2s CQdrdm4hhGWtlaPa36knTutVeh6eeP7JMHY4duaknOPE2Uq4+L/7e9/TG2TiGfobir+EAAAcd0lE QVTXfNCMgfYc2Cu/7/e34fCJI/KZt5u6ElrE515+biwnYu8Pr7U/6AIsJCJJMuah1ebEV4vJJB7v EeFRzSP0Q8aBSi2ZDHkqZ3Z8jcfsFuLGSuEw7hgXl5vDUWhXC8BsjmoofKiWUbjkJCcbGxJHqHtk QFeDnVp6kGfY0Hwd44+IFq/PRSavlEzr5pYzC1fVcfQZcYEz+Uq70+wz6Rp7qKz5N615ZU+3VWEH P0mCIHeQiRqPaTkE/p8ul3CU4KHLhaAOggnye2JtBjHePDb/VIYoX+sGspOwMJGpEH0ycYj2KeRk ZdcrFWKw8KV7Do5JpIyXLYQ7gT0N3cwuKkc6lB+TyiWuKIMwdp32BdYNtPUt5h3CeKndbWMQtBAz nXBl0gz7SCYyCgo4n5OK+Ky4Y/wg99jTLD3p3oRsiU7Z+27f0xU/sAvBVlGOnE3FHZyUVnaJLhkX USadlVYTHLRIfBa+p1/2vnOz0MVpwJAgauVgJ5feE0WtyKsLuXJOctQK6VkIXLyLfoBejEBP7Ct3 92+jMee0sVVOlt9kkE5KhFeUieEhylnYEUGYUT6EuyRfIyTCUQ+D0UACb74xXa4BW0WzWScLks2k tWaXNzAMIk1uxJLoeOcFyjUTg+4IE2VS5OOwg6fuqjYrb7K2Gtwrl8sGuS5XaFr2W2IwKeudTDxG x3LBdgdE88iBIrJlaldMJpnWVH1u/i3ayX1pSKoWUzcGIlJDgb5zOXVTw0XJazYMA1t/b6Fsm5h1 k6f23rhQt5YADJFKK7oUaQibPIqta+m2tebFZN7t+wyFO2fpPPpageklFtFYkLR2e99tqz1em13g 9rrXetFCu9+IPcDdmjZCZq9DJ3nQeyjMv0WY1+CeaA9rSHnZ8IFOTiK7e48tHmEBK6eJ5feBRwSC +kmcGl2kElm5cXQ1BMZ1JvekOEKogGImgB5DBT+K0GXHCqnCDzulYCgkNtpmPOa728YtPP4e3abx hWd/Vv6Y0kv6gw6COBmPkQc7eZ/p43MDyKTYfVYfiQ3Ah0Ob1yAiqEm1VDo3oUxoOlTZRWnyPhbm nSwNdnNHUqJqRN1kU2JSVHb0KLFrn7m9Zwyybc5F8lejgVg1n6wHo0bCYF7jLM170XrQcrhJ5kl1 E6fNC9qBxjhfNSZjjQe5QaMplYX8HUvi3ay6+65R/KwM4QcNX28sJyeF2HqCHtmgOzqpMZ9O7Yh8 AAMnygQeBajXmwiGMQzTKWRSOZ1QptUaA8tpu7I7Oe3vQ3qKKeKx8dHY/XM+tTup3UlOeFNqqk3y Ti2YEvosXq8JTcYBerdUMlQz0gw8+cD1eEOHT3jos5JwoOJz9vWc6Pr+6ip1uh30+h1kUuznyB1Z hSIYfNOtITqnRWCR62R3f1uvYT+HZKANBBuWE9gd22E9uNbDyiZxyI4e0o/1r4xTbNBvlevVOrYk g88g3veTSCY8bYVHigsXjakmlMDeqQ1x60DkPSc2I2m7fZ9JGBhod7Lnx4M2eNvLfOxcdHEdNIwp OfadpesmXq2pCYk9nLKi2SlHisCwR6EXTyIZ487t1A7w3zCQijGtY9ca5Hqzi2Gnh0yWiasENjca aDZpOfpY2D4rFoZfvLluuDC5OKbRNdzf2V1yUlHEPZ/cOMlGs9+6PszJc9pcix0qXqBQs41RZKGI O3iv7pUbQ9GL4YIYieXUJ8b/E8VqNKpIJ0nN0MXHRSEBsK+uEGMRaUpkd2FLEbF8M9lx9fO6O7W+ OdNI48IafB+ho1gSqJxD81BqRXQD0IVklPxNJlzvWRe9Tge5bF4y+XGp5mTBmMqOdjrcDFWL2X0f N74bt4R6qUvNAIGVGpkypk3WrQTnlsIePECBkZSVYKKW5CHYvJYCzGysrcwiCkHVbnacourHeACt HaeAbj9AdXUTPpVKtpVNG4URyrNqgZqNNtqNDjJ55RMpRq5oVqRiGLlONn5wF+X4jdTfCexpLIDA og7z1sLPDFKnWcHo/aLAm2wBZvil3ppK9Ib6LcnOUN/LWCHZbTOq8zViaSndI5b8sgpO+VFSx97v IJFTF1Pkcno9DEnfIC/K+Or8nG4mXoJ+EguzOUHDpKKSQbbENFQtoRUe6g5os+x2UshiiCwBE3x6 3YrAcTAI53Hq7vLe0eUjIELBPrKT6Y5RJ9llP8flHrPGPJ/P3aMpYGNFDteiceFz02mJBhat5lfH H+6T3mqczk+1lYz4o8T9YUWhQ7kKTxvKfwYBWm1SSXSHbfWG6Nb5INNYmMmJ2oe8wkF9+DMtytKV G9hX2C1/t6Q+XSjk+kTolUvrCG+AsxvxNRxWr4muzv1iEndCT8PdyfFi22u6ELRq0r8kiOrSVcGF /rTN4I+jWLzOTCJyQxW2joAGctUk/pKCIZ3chFQp8ant2pz4TqBsJT1y8odWz1h2IVmyBiWlwTDz ESKixyx6xLxRiyQxg9ZvCGzMc5nCJbpOw6HGdTbjr5WS46CFAgd9ceY9j9cSR6fXEpKiey/De2uZ 2w7jWwqlRgEGno/lLi3U1vWv9NxbP1ZYu3j4YWOTybeihRHVxtgYWVEuK1SxkAxuLI2Ul5MPzXJN cp4GXZ1I/MDzC2V5ANOCW3vTOPG4GzaHAXLGxHOwTjpg1yKJYVhGO9EfwuDrocSMFx9zl2wtuxTj TNzNaFFEJn5y9Id9EQ8oFHUCETULi7UsRUQ2AxN7OEnU6e+lbp3Aw6b5jyJzmmDjhGSCjTt0qGg4 wZQOAn2NbTchD0s+JzlO2gpbg26955qh7ppyYyMC7pQGhJKthgktcQytyohfWnRFiJiVfkS5xIIp jquNlIzr2WX84VjjyU1nsrjNbmbNIIF6P4HGyENC0LuvHnayuqjUVsbXVfYR6zOldZtbhMXhh9JQ xke2QeNg1AW8fDiBe+xk6wUoV7Rwftq4Bz41H6HTaGGt2RYJmHIpK6oWSlDUYFkFFJTGIL6/JKlY s24FIsYRK/7NanlNvnd448I6l3sfDhdEoVSOZEsFpVGrwaOZKabMqSRQQ8By4gZPuG+ymTLQ95WF 3DcVe31HncX6gGFi1qmpUc0pjQ/CnIfEQ9pF18p42gSiBMme7vi6GUW15i6QYgXvxIUWRURSYjpI GsaCqIL0uqqmKFR5tZpE/7pk4bIwLDkp1BDBzpOyTnaDKaaAWpt19OmHqvt4GGX2h11MWxmxaTFI 9I5mD5oIaBnQseSz2VCOkE0sTguQx92OGCqzJaGa59N0ZUbSOro7oDhcHNlCHtlcSgL4bndcyCFy r5yLdy6WO56tTqRLRNeFSSjNG6jow1T3yrB1OemU1mHlgzRyI3JlqSRjr7uPzKp7Y5XOonQNm+Nh MKvuD1VZxhOc7rkVPiVkrnXliYQBC4wltbsYr0t/xyShQbdM7b8mZseZBm5NjVritCxg8d3p+vU6 oswSLyQM5USPF6h+xH6VWnhl712Ym5HehBMl2k51KN0UX4RAtoYXWdTpYeb7wwowTI6vCtTpahEE CHWxondVpq3nJcV62LiBh9V7fcwa/aN7LtbAj3rhUeDMiZJMRVnpXJ5EOd1lNqsNdNsdFEo5eNLm LYb2gH3Vo7riaQiWFR5QMQni9gpbqsyNMkcns+vRhSo/SOrjh6TyE8tXuFrdijgSkn2/N0moNzWa GPazmtumFljyCrrIVQybSU8NrEVgwGkgFH4um4wz4IVF4bgRicUJLYUm+9gLcDjsKd/Q/G7yOkOQ Q5J7PS1BNu4dr8tS5uNeEsVyZSyXodlwXeBSRyOi++Z6uakY6SY7bcL8ioA4mgDlf9nUKLYF98pa gYed748inCiL8Sve0CYcJVHouhDUYR32PfQGlOeJYcAdbTBAl1aAwsQTHyRMLg0H6KCltSMx27ZN bxjnzRjcan4uzxTRaXVx4+YKchnSrQcis9MSeRigNFMUHH7ywbubsCxC7qBe5P/amGaaVQvJdY6+ lLh2dHNIebFNdKZk0DlxmElmTsB9f/k9dWxFl8sUD4UWx2EGWIR2QiFkMoFmtbooucT7qj0k6SbJ qy0LRF1MR9NMH7zR6rV9Wgg+mNfS3dOGqpr8YyViIm/oLWZxWGFwnr/X6yNfUMtn3yfMz4ST2tFt NoINfiqB5mCEPqkl2PoI3SxJQBthuPsd+4g8rQe9dixI92MpeEFKkJ0emyrGeoISBf0Bcmn2ySuG kpPWzIqYMYNQxib0nalPK5R0dyFMz1O4gV46m8LOHeyFmHAmSk4IcOsrm0gU8yjnyOExN28wxNqq snwJO9L6RDCvZnqt5QtdgckkZCiUFk2KqJbD3qB78ydWVnPMojhaUuJWmaYzXLTaRzwKZKe5V/dz QUS4m7u41KQnBR5nkE3rZBeHvT5LUw/dKycfpNV+pgmOJR5Kpl31rrT3hxZYUb0+RbSM/ydfK5WU +11dq8lrydZlwpe1MqlMMkyOhozicLEEuN0l8LFFYQarWTURV9BhnZZ8twvoUcY0BGva8KXGgPwa P4VsOod2vYbyQmmM06IfXgXW9CZHpDShXnBnCjTJyIlL+DT0lyfgWns+99x8EO7gcfzdwvYKVlc2 sDlMY7asiFq91kS2mEU2nZAcy8ryBha2zYSvZRzDDDVdKDfbbH+WXophDoX+OxeSmWxC6x6iWa3L 8bPbZsYspBAfY/Z1rFNhvKLnFaq5uCQaL2g+JrJ+1gWdzPpPDvc+6TEaYHtJJXzSmgROy24li5pE 71BraQR04OuMllg8lsCgq8RBy2Ju11qo1dhqL4dms4lMKotsKaki1SavsrFaRT6fR76YkxIAvi+R M55jbWUDqUQK3X4HpXJJWllosZXWz+tZtjaUFRz9HN0LLY2dtCJftz7Edau2nCgc9Xjzh4j5Goyn 0z4am02UK/nwAbCc1pbi6pUbJmncF1oKqe/0zK3VcP10C9VOjsngbloAzB1+dq6Muys1jEpZ+XS9 3kBcM9HR8rWnh91t3dexLoMTmciZNJGJRVlyu2O67y03bRhgc62GylwJDVYmtnti4TgojkB1D11Q UeJUYho2FRoOkPKS0plJGLITel7qFk1fHO7GYX9PeohONAsY2AVMF1J5U3qfrTqiyZwYBm6IOtmk JO9du496o4FhnwTGBBZ2zGHYGyCdLWP1zgZSOdUfXl+uiiUpz5S0AatVVvTjyOSpsxWT+yLJy25C rEx9sy65GSn2ymTRT26t+wcpIFqaNX0I88e2w3jAsV81xDJ9DbPjkwYdxLQmnYMt0mobqt+klqGP ftANVdsj3J678hDtfk2p7QyaSXaE1kRz8CFqgU0U7G8F1bBtwJQfFcDDEM3+CGm6cYYLxD4UK2s1 7F5kZyqHLkO3QsABdbUsh2kSjtRZpD66hYNbjaY8eOZpcvk07t5cwbadC5Lv4eegm61dWa18kOYu OEHU9Yqbvifqfrpxh/0+DRK1CyMsY5bEYl+aimoMx/OpgN/QlLbac8k9EstlPqfr3sp5hmjW2rLT syVBLpcxDVINMJBRobtcMYP6ZlN+X54tivJ6grknE3O4WmdWEV4YC2ndQLIFxpCM5TJY2uSG9fWU SyYz4/aYB7Fv3XTF9DmFrzX8pKd4uL2xvU4/YpZY3lJsiPawgUysGO2KFFIedtAbdmRCUuckGVdC YnTRShBUktv9M9+TiSe3aIt8rlwmjWazg/6oj0RaBbLJCWOZrH3QSs3W/AClOTlcxGgSeQtjDEMr 52g325jdNitEQ/rnxXIO9WoDMwtEeXy0mz3ZPPhZMnkVk+bFKsfMWguboIugmVBfbCw/RLeNNStx scRy70WR0VgzuoKi0G4RQNXw5/9djpYufqV2qLBDXxYG8zjsNc9+kKVyHoXUjKn4sxrD4/eB9zIv mhZaOkwU009oeXTonlKe1EH33O+WPcx2zL1kfkvKJdMm/P1cn/stDjd+uZ/FMrS6rzXGljn9TrZh 3rZrXv4vSEo8icGwpSonQ6JUadkdeCN7ARNMvvzfj6XHSIR68Vbbl0EmeU7ju8o0KojlO9n350ik 4ki1+tJ+uFBWklwilcBGdQ29bBqJpE6iblsnRHmmjHRGK+DkfBPXFFIiSD8XzeCByO3rbs0dWl2Y VDqG1bu3wgRmoZxDNp0W+n51tY5k2oef9KWttctJ4pjGJYv+pgualHGWGAukKzXrmqhVWjvhXM1o i5tKZjStisDhznuwmWm3a1xHVhgS9mZDH41ZGDNZbV7J5vOc1FA27yOLSeSLhppXGSrCR8JizCzC ENyw/zdiG2G8ZB4hZYVuteKIhwovXz3spu7GBVuNDYS168QUzm0Zf4+HOOe04WvgrYmRtbU6Zhcq YwcQ8uSi6KOD3qgtLpcfWHdLC2o8SgI4cqHhDQ3xffWn3Q5W7vcxH9zI9oQT2UCxlVlVKlcWruL5 27bPol6toys8rRiGXgIzcxVUV2sS4NPdsovS+uF0i/T6Ytjc3FSiHmU8G33MLsxqxtvAmoSL9x3a Y/IFGvQK3JomizktSNugNxQrUyhr/bcreMHYiG6S9pRzXatRSEGxWsW8juGgJ01F2S9DuFZW7M00 nqHrF96bMbjXj5Apod/ozKDblUqkJT8j/QedVglWYJyxmqhMGkuk50uKrxOYZyiifpJh5yeZgsSZ 391oAYME+6VsbUwGzFuhuOuzjFi5wsiI3z/meNRkor+2TGq7h3q7i/kZCgrf25KAuQ2lwmvzGNIo 3MnNxSMNdJCW9mnTdk5rRewicYf1u++FKplXoFCcgVKN5qy1ANzNCpUcigHLOwdIsbpN2kVTgrOH jBNgatvophQC5fNF2b0YdFPLq15tijiDCHPLBZmbzBqZke7aStfQBSJTwguQyqaQzsZQXdtEq95G psD3jxiuEQKmlHYrEcr6cMYDQh707TlVm4u7vOZnNJeheQsr7B1RPGwuSSRWLaXGtF5YW6mKxhU3 pWKFpEolYIr0kimVJRxO11cKrKT2g2IOrAwNpHuVq60MhwFg+WEhmGCU8jvDAB3RN3iIzLnjInEQ Ob3fInGn1FbYu9LtAo8+/MpMUXb+cqw01mNi0opQqGEUqNyPKF+E8vl6LJODflxbs1mujkVubCzi ynRODtfqjFmgsEUx76jt76G+uZAaubuJ6jxVQ5jcGqDdaaMyz25KOiFEY6rbE2yfIs+yy5q68tXb a2I16SqFN9hQ3FXqRpUKbYtpDvYOcXMvlbmyLpK7bczM0wJHqvSctNJI1NSEUDqpVt1AfHYB2Qz7 +XUMFZzQthIaRb19OJLdnSiczdVo51/u6Mw5WchaJXvkunpDtBptYd6m8ylkqX5p6k1EkdG4faLv Sw1fooCm7yDRNyJkitQ5NfojXVi0xra+hJbVLcclGLLcCRDzVYVxK4OBt7g/zu9MempqZeHDuEna UeubGT5vkHu6aW6PtSJejGomDZGzZzcpLagZSO05UTBKCMlrrFSnPa+BHSlYMEZfcUbE+zLti50S wkhhUOkcVOKwxp4xkG3FoCeiuoY2+tGAVS1Rv0+CXtrkaPS1zVpTuGJKc3GvJSINso5D45HM2LXa dmP2HhESZfxWq9ZQqhSj9gFSwZhCq8dqy4Ek7PLFimluo+CtMnQtzVpniajPO2XKoboJKxw9U0Rl ECx6pbxeWjFuGOmsIlMiLmdcRgsBqyUiyKLfeS+FoMiKP0Nvt+8Z2GaeouJO0qIilNaC63UFgqw1 48ktWw8ugPtZgWn1HWL47rNIJFdiaDz23N+kEoo8AYu1u7BjdAF2oagIQjKeR0rYuEZhg4sjSAq8 61oAd9jJrUVTimjpOWP30Cvs8Ta55wo6yK7Mf4avpK6D04dQGlfSj28hU2QDGd2BKcvD13BxMNdR q26KDhQtQaFM5ZHxWhTJm5jai1DRw1GHd+vCOZGtBm0yk0B9o4lmvS2ZZiEQOl127XmozWuRKVLO WRujyi5G9tVsgdy5bXMi5Y6ZKkd+bsmMm2dkjuex2UJWrHXS9DrXTl+8Zm3xbBOFtkc6NXm5mXS6 lOdJ3oPAQaoblZlscyrjzzfA3S5dzomShS1CuxNVEl+5cO438W2uRNy2b6Cz7dSCKbeIP9z4JxEm 0hIm2gqo5bBZ3ShPYkfY+8O8AW+0i2hNQ7LspFK18HFkzF1wrtvBHVvoEv0OCsU8+oMAuYy6C5mM rxSVuxtIZ9KK5qQIzdIliDotWRBA3UP210iFlXsuZCx+uFmgtqe4vt5DclsKy7dWkMnOhoxenaQR J1YhWeYTNFjmQowy4FbWR61Up89usb5aMhP/cIS9Vvi9M8RGdVM2A14P31dQPdPIRy1ZxCymZSV8 zhirR3Kor7GThZTDGg+oJBN7HFKR5d5kboBWP0Az2Fo7A71Hkb/i/vyou//9Gnk+6rhH3d3GDZNI lK2V4AhlZRw/dFrxjB0uxUICOuLxE8VW0xaJ5jWUeTt2TFgQRQhX3Q1pL8zAu1DExmodfjZrFqKi MCt31rB954LK9ocCDdri2eYxZCHIzhuoqgeTkoboIFwosz3Z9ar9DKPFZfsylmfL2FjdlE0gV2TM QxUQujwa7GuyTd+PMYdlAauLyaQfd3o/osFTGpbQr6nbYjDNfIz0Z2eDnH5Hav+tleYP7BNCcWve E1WhV1hXYGJKlyY9dAZNxIe8Di3ucmtRdFVBtm5XwdFWOgoSFwDXO1YjeGvDnceT1sJ4UvcMTp1v awFszcUyWPZk/4vJ3aLdbohETWAm2Vay4mGHKMcyceIomzZq6TXNtVP3RhEovSbdp5QoOUSPsQcc YWzTCZdFXeubTdRScXxyZR1538PJnXOys9osvbgwwnPSrrDr6+uYnTU988zEHCodWflJUu3nIHy+ bSGtdewc9domcvm81FDE/Rj8lI+V26tiiRqtBrbvnEMixV0+EntTZXRmrZWOThhaGMNJTvyeMHHp lnKy0/J0qk0R7M7kUuj3BvCTCWTYHMeUCut9i4lQHAchaqkepCxqVxVmeC5C9fQIBiBy1UG3q6UC tnmnffYjm6G3Hb/kffQWLHeAgDmjLU42F56dhlaF1c3hHDDHfo3FEQFOeKQx1sTTjUEmJ6wmh5wk lauw4ZzD/s09Tm62vVBTE6HiAdPf0/2udCcj5hBCwgozisWyzT0NMECKhgSToz4+u81m9QPE/Lgk Dl14OHJl2A6tg3yO8jxx9Jm0kxhElU6EPWuhzon4SrtlsRegKhLmTP6CrhepKjwfAYB0LoGYz6x8 CzML6dACUdR5Y3VDrEMhn9e2A3FlHqRzI2RzGZHq5j2oVZviJnKRz21nmwdaawpAKLVeJ66aGAms ZRMxm4GZMLwvJGOqm0XafhpekBDaTj5HQqLtCmWZOIEBJCLQxS6c1S6wGVg2wdYGpX1c92pyTMYj j2I1bHNPCn0/yvA3a1VFTfp92UEl2zAcYXV1RZJh7DRE4hotxvpGFflCHvl8IbQM1s0K4w6nS+64 e2bo0LE4utJbIkJo3N3UDrsTakNNbdbiWhv7ZlrHML6Yea20IjtaXdwlzBoEuLlRx65KQfyjaPFb 1i0TZZq0o8vkp6a1VZsSkxlZIC4kqQcR98lQxwc9UTyZ2zZjkKKkuH7MuRTKqmxCFC1bSCFD1C3G klftOz7oZ9Bt9rC2vIFCMScuGhOSlW2lsXjIlS9yrb1eQ9QsVREsU6LgMTZRnpe4lrSQScZpKgIn vV0kJjWghFMdKUBAEOBOB6gO0xIbbXUIKdHG/lOsx1cF6A877OLQe/FoVuT/A7y3UvkFd4RoAAAA AElFTkSuQmCC