20241009 17250300 1.0 TRUE CreateFeatureclass C:\Users\ygonmeyer\Desktop\CODATA\agua.gdb Outorgas_Estaduais_Subterraneas Point # No Yes "GEOGCS["GCS_SIRGAS_2000",DATUM["D_SIRGAS_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # # # # # "Same as template" UpdateSchema C:\Users\ygonmeyer\Desktop\CODATA\agua.gdb\Outorgas_Estaduais_Subterraneas "<operationSequence><workflow><AddField><field_name>TPO_DS</field_name><field_type>TEXT</field_type><field_alias>Tipo de outorga</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>100</field_length></AddField></workflow><workflow><AddField><field_name>TIN_DS</field_name><field_type>TEXT</field_type><field_alias>Tipo de interferência</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>100</field_length></AddField></workflow><workflow><AddField><field_name>ORG_NM</field_name><field_type>TEXT</field_type><field_alias>Nome do órgão gestor</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>100</field_length></AddField></workflow><workflow><AddField><field_name>ORG_UF</field_name><field_type>TEXT</field_type><field_alias>UF do órgão gestor</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>2</field_length></AddField></workflow><workflow><AddField><field_name>TSP_DS</field_name><field_type>TEXT</field_type><field_alias>Situação da outorga</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>100</field_length></AddField></workflow><workflow><AddField><field_name>ING_NM_MUNICIPIO</field_name><field_type>TEXT</field_type><field_alias>Nome do município da interferência</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>200</field_length></AddField></workflow><workflow><AddField><field_name>ING_SG_UFMUNICIPIO</field_name><field_type>TEXT</field_type><field_alias>UF da interferência</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>2</field_length></AddField></workflow><workflow><AddField><field_name>DT_OUTORGAFINAL</field_name><field_type>TEXT</field_type><field_alias>Data final da outorga</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>10</field_length></AddField></workflow><workflow><AddField><field_name>DT_OUTORGAINICIAL</field_name><field_type>TEXT</field_type><field_alias>Data inicial da outorga</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>10</field_length></AddField></workflow><workflow><AddField><field_name>TFN_DS</field_name><field_type>TEXT</field_type><field_alias>Finalidade</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>100</field_length></AddField></workflow><workflow><AddField><field_name>OUT_TP_ATO</field_name><field_type>TEXT</field_type><field_alias>Tipo de Ato de Regularização</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>50</field_length></AddField></workflow><workflow><AddField><field_name>OUT_NU_ATO</field_name><field_type>TEXT</field_type><field_alias>Número do Ato de Regularização</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>50</field_length></AddField></workflow><workflow><AddField><field_name>INT_NU_LATITUDE</field_name><field_type>DOUBLE</field_type><field_alias>Latitude da interferência</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>INT_NU_LONGITUDE</field_name><field_type>DOUBLE</field_type><field_alias>Longitude da interferência</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>INT_NU_CNARH</field_name><field_type>DOUBLE</field_type><field_alias>Número CNARH</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>INT_NU_SIAGAS</field_name><field_type>TEXT</field_type><field_alias>Número SIAGAS</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>20</field_length></AddField></workflow><workflow><AddField><field_name>TNP_DS</field_name><field_type>TEXT</field_type><field_alias>Natureza do Ponto</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>45</field_length></AddField></workflow><workflow><AddField><field_name>TAP_DS</field_name><field_type>TEXT</field_type><field_alias>Aquífero</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>45</field_length></AddField></workflow><workflow><AddField><field_name>TCQ_DS</field_name><field_type>TEXT</field_type><field_alias>Tipo de condição do aquífero quanto à pressão</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>45</field_length></AddField></workflow><workflow><AddField><field_name>ASB_NU_PROFUNDIDADEFINAL</field_name><field_type>DOUBLE</field_type><field_alias>Profundidade do poço (m)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>TST_DT</field_name><field_type>DATE</field_type><field_alias>Data do teste de bombeamento</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>TTB_DS</field_name><field_type>TEXT</field_type><field_alias>Tipo de teste de bombeamento</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>45</field_length></AddField></workflow><workflow><AddField><field_name>TST_NU_ND</field_name><field_type>DOUBLE</field_type><field_alias>Nível Dinâmico (m)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>TST_NU_NE</field_name><field_type>DOUBLE</field_type><field_alias>Nível Estático (m)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>TST_VZ_ESTABILIZACAO</field_name><field_type>DOUBLE</field_type><field_alias>Vazão de estabilização no teste (m³/h)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>INT_QT_VAZAOMEDIA</field_name><field_type>DOUBLE</field_type><field_alias>Vazão média outorgada (m³/h)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_DT_COLETA</field_name><field_type>DATE</field_type><field_alias>Data da coleta de água</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_DT_ANALISE</field_name><field_type>DATE</field_type><field_alias>Data da análise da água</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_NU_CONDUTIVIDADEELETRICA</field_name><field_type>DOUBLE</field_type><field_alias>Condutividade Elétrica da água (µS/cm)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_TEMPERATURA</field_name><field_type>FLOAT</field_type><field_alias>Temperatura da água (°C)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>4</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_STD</field_name><field_type>DOUBLE</field_type><field_alias>Sólidos Totais Dissolvidos (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_PH</field_name><field_type>FLOAT</field_type><field_alias>pH</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>4</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_COLIFORMESTOTAIS</field_name><field_type>DOUBLE</field_type><field_alias>Coliformes Totais (nº/100 ml)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_COLIFORMESFECAIS</field_name><field_type>DOUBLE</field_type><field_alias>Coliformes Fecais (nº/100 ml)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_BICARBONATO</field_name><field_type>DOUBLE</field_type><field_alias>Bicarbonato (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_CALCIO</field_name><field_type>DOUBLE</field_type><field_alias>Cálcio (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_CARBONATO</field_name><field_type>DOUBLE</field_type><field_alias>Carbonato (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_CLORETO</field_name><field_type>DOUBLE</field_type><field_alias>Cloreto (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_DUREZATOTAL</field_name><field_type>DOUBLE</field_type><field_alias>Dureza Total (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_FERROTOTAL</field_name><field_type>DOUBLE</field_type><field_alias>Ferro Total (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_FLUORETOS</field_name><field_type>DOUBLE</field_type><field_alias>Fluoretos (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_NITRATOS</field_name><field_type>DOUBLE</field_type><field_alias>Nitrato (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_NITRITOS</field_name><field_type>DOUBLE</field_type><field_alias>Nitrito (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_POTASSIO</field_name><field_type>DOUBLE</field_type><field_alias>Potássio (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_SODIO</field_name><field_type>DOUBLE</field_type><field_alias>Sódio (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_SULFATO</field_name><field_type>DOUBLE</field_type><field_alias>Sulfato (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>AMA_QT_MAGNESIO</field_name><field_type>DOUBLE</field_type><field_alias>Magnésio (mg/L)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>TST_DS_TEMPODURACAO</field_name><field_type>TEXT</field_type><field_alias>Tempo de duração do teste de bombeamento (h)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>5</field_length></AddField></workflow><workflow><AddField><field_name>TST_NU_COEFICIENTEARMAZENAMENT</field_name><field_type>DOUBLE</field_type><field_alias>Coeficiente de armazenamento do aquífero</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>TST_NU_TRANSMISSIVIDADE</field_name><field_type>DOUBLE</field_type><field_alias>Transmissividade do aquífero (m²/s)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>TST_NU_CONDUTIVIDADEHIDRAULICA</field_name><field_type>DOUBLE</field_type><field_alias>Condutividade hidráulica do aquífero (m/s)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>TST_NU_PERMEABILIDADE</field_name><field_type>DOUBLE</field_type><field_alias>Permeabilidade do aquífero (m/s)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>TMI_DS</field_name><field_type>TEXT</field_type><field_alias>Método de interpretação do teste de bombeamento</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>45</field_length></AddField></workflow><workflow><AddField><field_name>TPA_DS</field_name><field_type>TEXT</field_type><field_alias>Tipo de penetração do poço no aquífero</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>45</field_length></AddField></workflow><workflow><AddField><field_name>ASB_DT_INSTALACAO</field_name><field_type>DATE</field_type><field_alias>Data de instalação do poço</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>ASB_NU_DIAMETROPERFURACAO</field_name><field_type>DOUBLE</field_type><field_alias>Diametro de perfuração do poço (polegadas)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>ASB_NU_DIAMETROFILTRO</field_name><field_type>DOUBLE</field_type><field_alias>Diametro do filtro do poço (polegadas)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow><workflow><AddField><field_name>ASB_NU_TOPO</field_name><field_type>FLOAT</field_type><field_alias>Topo do aquífero (m) alcançado pelo poço </field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>4</field_length></AddField></workflow><workflow><AddField><field_name>ASB_NU_BASE</field_name><field_type>FLOAT</field_type><field_alias>Base do aquífero (m) alcançada pelo poço</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>4</field_length></AddField></workflow><workflow><AddField><field_name>ASB_NU_ALTURABOCATUBO</field_name><field_type>FLOAT</field_type><field_alias>Altura da boca do poço (m)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>4</field_length></AddField></workflow><workflow><AddField><field_name>ASB_NU_COTATERRENO</field_name><field_type>DOUBLE</field_type><field_alias>Cota do terreno (m)</field_alias><field_is_nullable>TRUE</field_is_nullable><field_length>8</field_length></AddField></workflow></operationSequence>" UpdateSchema C:\Users\ygonmeyer\Desktop\CODATA\agua.gdb\Outorgas_Estaduais_Subterraneas <operationSequence><workflow><AlterField><field_name>OBJECTID</field_name><field_alias>OBJECTID</field_alias></AlterField></workflow><workflow><AlterField><field_name>SHAPE</field_name><field_alias>SHAPE</field_alias></AlterField></workflow></operationSequence> Append 'Outorgas Estaduais - Subterrânea' C:\Users\ygonmeyer\Desktop\CODATA\agua.gdb\Outorgas_Estaduais_Subterraneas "Input fields must match target fields" # # # # NOT_UPDATE_GEOMETRY TruncateTable Outorgas_Estaduais_Subterraneas Append 'Outorgas Estaduais - Subterrânea' C:\Users\ygonmeyer\Desktop\CODATA\agua.gdb\Outorgas_Estaduais_Subterraneas "Use the field map to reconcile field differences" "TPO_DS "Tipo de outorga" true true false 100 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TPO_DS,0,99;TIN_DS "Tipo de interferência" true true false 100 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TIN_DS,0,99;ORG_NM "Nome do órgão gestor" true true false 100 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,ORG_NM,0,99;ORG_UF "UF do órgão gestor" true true false 2 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,ORG_UF,0,1;TSP_DS "Situação da outorga" true true false 100 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TSP_DS,0,99;ING_NM_MUNICIPIO "Nome do município da interferência" true true false 200 Text 0 0,First,#,Outorgas Estaduais - Subterrânea,ING_NM_MUN,0,199;ING_SG_UFMUNICIPIO "UF da interferência" true true false 2 Text 0 0,First,#,Outorgas Estaduais - Subterrânea,ING_SG_UFM,0,1;DT_OUTORGAFINAL "Data final da outorga" true true false 10 Text 0 0,First,#,Outorgas Estaduais - Subterrânea,DT_OUTORGA,0,9;DT_OUTORGAINICIAL "Data inicial da outorga" true true false 10 Text 0 0,First,#,Outorgas Estaduais - Subterrânea,DT_OUTOR_1,0,9;TFN_DS "Finalidade" true true false 100 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TFN_DS,0,99;OUT_TP_ATO "Tipo de Ato de Regularização" true true false 50 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,OUT_TP_ATO,0,49;OUT_NU_ATO "Número do Ato de Regularização" true true false 50 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,OUT_NU_ATO,0,49;INT_NU_LATITUDE "Latitude da interferência" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,INT_NU_LAT,-1,-1;INT_NU_LONGITUDE "Longitude da interferência" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,INT_NU_LON,-1,-1;INT_NU_CNARH "Número CNARH" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,INT_NU_CNA,-1,-1;INT_NU_SIAGAS "Número SIAGAS" true true false 20 Text 0 0,First,#,Outorgas Estaduais - Subterrânea,INT_NU_SIA,0,19;TNP_DS "Natureza do Ponto" true true false 45 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TNP_DS,0,44;TAP_DS "Aquífero" true true false 45 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TAP_DS,0,44;TCQ_DS "Tipo de condição do aquífero quanto à pressão" true true false 45 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TCQ_DS,0,44;ASB_NU_PROFUNDIDADEFINAL "Profundidade do poço (m)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,ASB_NU_PRO,-1,-1;TST_DT "Data do teste de bombeamento" true true false 8 Date 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TST_DT,-1,-1;TTB_DS "Tipo de teste de bombeamento" true true false 45 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TTB_DS,0,44;TST_NU_ND "Nível Dinâmico (m)" true true false 8 Double 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TST_NU_ND,-1,-1;TST_NU_NE "Nível Estático (m)" true true false 8 Double 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TST_NU_NE,-1,-1;TST_VZ_ESTABILIZACAO "Vazão de estabilização no teste (m³/h)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,TST_VZ_EST,-1,-1;INT_QT_VAZAOMEDIA "Vazão média outorgada (m³/h)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,INT_QT_VAZ,-1,-1;AMA_DT_COLETA "Data da coleta de água" true true false 8 Date 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_DT_COL,-1,-1;AMA_DT_ANALISE "Data da análise da água" true true false 8 Date 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_DT_ANA,-1,-1;AMA_NU_CONDUTIVIDADEELETRICA "Condutividade Elétrica da água (µS/cm)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_NU_CON,-1,-1;AMA_QT_TEMPERATURA "Temperatura da água (°C)" true true false 4 Float 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_TEM,-1,-1;AMA_QT_STD "Sólidos Totais Dissolvidos (mg/L)" true true false 8 Double 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,AMA_QT_STD,-1,-1;AMA_QT_PH "pH" true true false 4 Float 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,AMA_QT_PH,-1,-1;AMA_QT_COLIFORMESTOTAIS "Coliformes Totais (nº/100 ml)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_COL,-1,-1;AMA_QT_COLIFORMESFECAIS "Coliformes Fecais (nº/100 ml)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_C_1,-1,-1;AMA_QT_BICARBONATO "Bicarbonato (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_BIC,-1,-1;AMA_QT_CALCIO "Cálcio (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_CAL,-1,-1;AMA_QT_CARBONATO "Carbonato (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_CAR,-1,-1;AMA_QT_CLORETO "Cloreto (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_CLO,-1,-1;AMA_QT_DUREZATOTAL "Dureza Total (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_DUR,-1,-1;AMA_QT_FERROTOTAL "Ferro Total (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_FER,-1,-1;AMA_QT_FLUORETOS "Fluoretos (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_FLU,-1,-1;AMA_QT_NITRATOS "Nitrato (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_NIT,-1,-1;AMA_QT_NITRITOS "Nitrito (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_N_1,-1,-1;AMA_QT_POTASSIO "Potássio (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_POT,-1,-1;AMA_QT_SODIO "Sódio (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_STD,-1,-1;AMA_QT_SULFATO "Sulfato (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_SUL,-1,-1;AMA_QT_MAGNESIO "Magnésio (mg/L)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,AMA_QT_MAG,-1,-1;TST_DS_TEMPODURACAO "Tempo de duração do teste de bombeamento (h)" true true false 5 Text 0 0,First,#,Outorgas Estaduais - Subterrânea,TST_DS_TEM,0,4;TST_NU_COEFICIENTEARMAZENAMENT "Coeficiente de armazenamento do aquífero" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,TST_NU_COE,-1,-1;TST_NU_TRANSMISSIVIDADE "Transmissividade do aquífero (m²/s)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,TST_NU_TRA,-1,-1;TST_NU_CONDUTIVIDADEHIDRAULICA "Condutividade hidráulica do aquífero (m/s)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,TST_NU_CON,-1,-1;TST_NU_PERMEABILIDADE "Permeabilidade do aquífero (m/s)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,TST_NU_PER,-1,-1;TMI_DS "Método de interpretação do teste de bombeamento" true true false 45 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TMI_DS,0,44;TPA_DS "Tipo de penetração do poço no aquífero" true true false 45 Text 0 0,First,#,C:\Users\ygonmeyer\Desktop\shape\Outorgas_Estaduais_Subterraneas.shp,TPA_DS,0,44;ASB_DT_INSTALACAO "Data de instalação do poço" true true false 8 Date 0 0,First,#,Outorgas Estaduais - Subterrânea,ASB_DT_INS,-1,-1;ASB_NU_DIAMETROPERFURACAO "Diametro de perfuração do poço (polegadas)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,ASB_NU_DIA,-1,-1;ASB_NU_DIAMETROFILTRO "Diametro do filtro do poço (polegadas)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,ASB_NU_D_1,-1,-1;ASB_NU_TOPO "Topo do aquífero (m) alcançado pelo poço " true true false 4 Float 0 0,First,#,Outorgas Estaduais - Subterrânea,ASB_NU_TOP,-1,-1;ASB_NU_BASE "Base do aquífero (m) alcançada pelo poço" true true false 4 Float 0 0,First,#,Outorgas Estaduais - Subterrânea,ASB_NU_BAS,-1,-1;ASB_NU_ALTURABOCATUBO "Altura da boca do poço (m)" true true false 4 Float 0 0,First,#,Outorgas Estaduais - Subterrânea,ASB_NU_ALT,-1,-1;ASB_NU_COTATERRENO "Cota do terreno (m)" true true false 8 Double 0 0,First,#,Outorgas Estaduais - Subterrânea,ASB_NU_COT,-1,-1" # # # NOT_UPDATE_GEOMETRY CODATA Meio Ambientes Água Outorgas Estaduais Subterrânea Outorgas Estaduais Subterrânea. Fonte: Ano: Outorgas Estaduais _ Subterrânea iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzUvWmXHFdyJWju4R57LgAIsopiSWpVS6qW9Ll/g/74fJ4zmtMz Gi09rVYVi2SRQCKX2MO9z71m9p49j8hEggRKbK8CMzMWX95iy7VrZs1qddNXVSVd1wuOqpLiwHt+ 9L1+Jv+dP9/bZ/01PWfHn/jI4XjkT76Jz9S11HWNF6TvO/7D7xXPlG8E10x3MLi5yu8p3ARPH+7T 76uqcK1ejoejdN1R7vuRXI5HUvGzvd1vL93xKHVdpXtLl9X/8Dy83w73W47HuQOn3+8Ost/tpWlG MpmNi3vzo+bYlefb74/SNHWaA33UKj58Ghcd+17P0fey3x9kPBnzd4x1HDX9bKfzgxNVwufGV/Hs cd7DJcI1REajRrq+l6478EOYpfW+E3x92urc+uf9upxLOw+O4xGf1+v7uPJcXB92H2fGFPN0OBx4 ntFIrxPX6dlDF0a6nzyOOq82oHw/rVs/5eA7w3kaHnEP5Nfyd3xc/Oe7fSXfHeey7Rv5mEePMe5F bGufHFjBw/e6Jz7/IZ/5VEej49hzocbJdEHg7+fX899+8HU8AScImxk70N6zhernxgLlYkxzqe/Z ctGFM1h7USa5IPSPZmGl5x+upbyYs0DGZxpMV+8LVQ8s/u7YyfHoGytew/7hWThbzxVWe9mu9jx3 O27OPpP+XZ7vcDjKKAirdO8UDUkS2xjHi+rrTdvKYX+Qpm3S5vCD48c510ni+xAwlHW2kXyuTAFE pVaPar4PwY/x2m138na9l3HbyNV8YsohnCudN1/fFZkKqzw/aRiC0Err0t7CWh2PW54HQg/vY3xH TXO6AOKAn309KsfBG0lYnyqTRy9hz+PP5AI+LtM0FbYYJ3UnoyPm5I939I+s4MeeMr7+HySreDQu qDCQ2CRYxIVCPhEYPrE6IUlb1GHR4aePv28yaMNkteTFoEIqLMiBYKLWPxFg+n1f9I8tJmzt2iwr HNhc+G3Tj2TeqhUF4ePPgOfHc4xsw+kZsmXgN1lVOl7DI2pgvP9wt+Y1Z/OJCqszRsC5zaACJX88 2yg+RsH6NOFCS7FXxQPLB88GK6t1AZ+upcKiuBmbgqFVEJ9FPxDe74+y227k7dtbWS4v5Veffy53 d7fy9u2NLJdzWSzmxT3674WQDNY2LdbCkrE1Eq2UYFj6vcJqxXE0wYnX2vZxS+XUEvP1FxRD+Iuf D3M0nGPfA67X9Gy+uE+9lqEHgBcmI5HRXr0MF/Yf46gesVDje3HlQR8N1zX+5uvy8zhsZtWq8cn3 CbKp0f8+obiwQSCMXAPjxa7vZDTC+fQ8nFKbYE6om9zBZYCw8MmMmiktEl/05kY8telLraYzgY27 g3YftdzYvK90TbUSsV7Uhcr3EdWjP837pnB9v6XWny0m/JlHUr/trtc5YYvNh7koravsRgyvHp8/ bixsXLijTTs6dYXSOPl8RKO1tIp9DlTAmPDvcI8N3dbf/e5r+dd//e/y7//+7/Lq1Qv527/7L8U1 souVn0HXSrDAwrPoLRo4EF2pfNfBtTVlOKo5ZrjWfr9XK7oZqVJy4Rjuvxx7G1cTlG7Z+VVt+ZRr It5vuKt0birCgRsf9hLfC4qprToZVX3S8x/j6N9nMdmbLpBOhFV47+dyNNTGtoDiJsruH18pfHo3 fX3RVHCt8qxix5uV5guqlq4/BIzEhZVq1bNagEIw30MSHMH3j/ca3dW0SHRVZFykUquqEmA3EaPC 8x9LC8LFdVzU9joFGgQ1MaBTgXk8wFU5yLiFYPwwjQmrKG40vxN1ue0vE/RJkCcXNVq7sGhH3LyN lMIvHuc2m4+JK43kHhp+xMfnZDayvLygKzabzWS1WknbqtDwk+Je3AqO1orCCF3Gqvg6hFRp7ZwI 6YHwUYuklqqGq340q0v1MCxmutajWuqR45XvO4IyNHwTB9biU/jtyZgWVpm+jmHB7+fgl4vRUVZd Jxsxo+ETW1g4HIX9j8KjfjSG5SbsqbZPTry9b6+lyYgLK1sNEIL6vSDD/D9R8IXvKoDiwmMolPI5 3Moq7rL4G0Ipb2r/Piw+CIFR18u2y9abgqz4u5IGi7pUrgqGB4SNq64enV0Kfh+watpxm1yTp9ZD fE6C0AGsDjI6CZx8f/49s/kKgNdht564EqwgCJJkIT0BUJ9YNdFz5Dhl4b/uRrI7HGU6mchorm4g 3JrpdJLO5p/N09GXrik/kDd2ObWlTfXYDdNKDorUxyO6i8Dz6O7b+J55artfd1Vtvg1/i+v25GtB 6sfgBN8aeA0FFmjv4bVF08lr2ci7w0FW/VgOH1FwnTsKa7/630doNa44TlwUKvSI30RNaCvD3Am3 XBh5MlfCLQR14QxALWzm0qwuXbxBdHCwsR8D/92t9PP79Rn9k0o2CJn0IrOm5j3hPSxmfX5YhaqT oPn5XLAc+f8spN29LFyBRwToAII5+UwWQo7XATxWwXLOVSzPhfEptXQ5tvZccMsP+9MgxSNHNC5i QBK/J5c/CMjLi4W0IxUEPidqxWab1O/WUH1a4BoPxnqpbGuWrnZ2984MQoAI3PJ3xVt7tCd8Prnk Yb6xTggtpBOV8+HznJVGiCQ9MmY+UBnf0pd82HyPOIaYFTbuW+Ri1Mm42ssfDrW863SMPsXRD++/ 1O8/fwsrYj0ZS3DNYlaRPVBAAIYouXlfEFC6eKPQoemORaEXGkRL8vXTojG3MYZ/h9iK3UU6Yhja P3cAbmUfmnLhVtIDoDX73AWVC6vynGp5lRQCfd3dEgjo4bI6wKIZNwMs5NQmK9zIIzA/aP8Sv1OJ mechnis7jP78Q7dYX4elB9cIWNZTrmHQQyeCIuEt9sb9ES6WYm0NXK4wh1wLA5wkzZ3NT6K3FDeh 8EJ0IYegvSvLFFiMelBloVnoikMmzNOO0Qhzps9zrBR7lUIgZWHiri3XgF3Ax3gY6SvGKnzWPxK/ 778HtEGVftXLdNTLrDvIQ9fI8RNZWf3ADXxUWP0MBVhzYsLagDpHhxhMEhRGJ7Ajh519wk3QIFJ1 PCZzXa0U20zF/GbLKkefsmZLn7HjxOpwK8dNdl/U4On0nRy6Xo4d3KKRRv6Ma4RLUesa9lVs4rCJ 9LPZ9R06KOfm87DVSOuoHZk7mZ8iC5l4Fh1rBgEGPDYPUJzcYzTp462bQHDMyfyZ9LyHAwRMcIkG wj/onvJaZwTY7niURd1LC2EVrNp0c2YIuXufNqv5bh7djE+Ee1mvV3J/fy+LxUJm83myPv2egfGt 12sqxYvLpTrqAyA9BRLsXlzn6LMpetlZYAXrA3Oc79FxBx0QFcB9cD2jID0zp4VW9/ks4Y3CMw8X dFd0UR/loTqQK/gxjmqo2AevPWZZZQTv53M0J0KgWMAlXyq/Xn6lsKzdZ0+AwpnVHyz7Akw/J5T8 w9H6O2dl2MLE5/bHo+x7bKaRNLVK5eMBoH9PgLiKQmCoIfM+P3lYd0EyL+v0WK02Mpm2FAzDoQoK NR10s4D/mduSXZwCZUg35orh3PHU4sL5u/4YLLlTAXjuiUpwWa2VTVdLKwcKq2gFn7uhqFD8cQqX OeFGIj/88L38f//4T3J/fydX19ca/QNeCIFb1zKbzyi8bm7eyephJZdXlzIZT2S73cpms5HlcpHc 6s8++0y++OJz5WYVt6QWa1ZBChngPmB96Z0pnaZ4prDDe8PcHp2EtKSCVzBwt4sBTr/q75NauVl3 h49Lczh3KL4r/9scRg4q3R66OUGrl1rjSSdHI4KwrjyCmOS5xiSivZLxslMgX7lOLo5USMSrlXK0 J6MX8ASsqv1Rozqt8XvAhcJ9Ye6xWYlR+R46Zz6kCNSjcunJYzSgJDx2uNXKTTnEB4OLFl2K+Pxq rJwKi6Gb5fOKZ4fA8kjf2fE8e58iB/LhdE63/UgmcihcrTSXCf/JJ1Y8MGs2Z7VHQgC+8ubNW9nt trRQH+7v5eHhQeZz5XOB2b5cLkmI3azXFGrb7UbaVjMHYHU5VnVzc8NIIYRW02T6w6mlrPfEqCes 8aNGFMm+O6EkRIlTwhjlB8wac181GZUmngMXrVRM+Voj6WU5Osq6O8iqa9+LOz51PDmvj9AWfPp+ jpgWiaMSbo5+O/3purR84uZw7RGoC1n2RP7UYGIL2TCw5E7nPGAVJU40dCUgpO4OtdwdMdWVTKqD vBgpnYGbc+QAq1liJ0ZluekVOgo3MnC7Ms6W72e/3QuYERi3962v6Lri85m8m4W0eSTFeBUwWnSj 430PHdbBhsBmgQCnUnoi/cUtBCzo9VFkdazl9TQv8GQZ2VidCMniZBHzd5wNc4vza7oU3FUIpN/8 5q/5GWBuu91O04uICx6kbVtaTxAsoGv4dZoRMLp9Em63t7dydXWlUcKhLgr363ia3xee7Qj33Gky tCiNXhKhk9NkjPSgZyCtdK1s1T825vmL87qT69GOingrOZ3rQ48hoD4UUkOZFMmjP0N5pcRRB8j9 SMIqWF4pYhOf/syReDNBUCXP8mSWDBM4efkMwa+qZN9pWBPfwkQSi+iFwuqHw1g2faOLiotsK0eS V10glPfD333Tn1th/ED4YPwlCjG4m7uj7DYHCoN2MjoB20/HKEfcYqZBeXGnAxRow48x+IqDCqpX XKhjCpIGHKpHhNWhr+TNHlZVI19U0Pi1TOvO/Ijs/6SxDEey0ON/7UE1Sutubk8qyMsXL2U8aZNy cRDA765cK3FRmVtnSub169fmjwYPIT+dnduf1VxyKml91yOJunCdK3YmSPDIUQyDWZZujdLFM7f+ PPphQrhSofVQdbL9iJKjf48getSZ+lnxsEK4gqTIBP4Wuto+ostIU178cJcve1hJkzrP60QwnGIo p9/Pn98de7nZi1y0IuOql/tDJjPeHRsKK8BGIIXu+kbu9ju5HvVSt2Q5pqs4UTYeMXIT3Yb8rZii YxrXxgHWysP9WsbjhptNwfynB90FFDCTk/G1q6e7KCzUpzlU8fzxXMP78VxAREvBT4PgUKGlHzwC /D6KbLua7t+qq2RuaXpQGsv6KJ0FCc6aFMOnSbzi8nMUyKA11CMZj3tGM3MqVVBYjjmGryfryIIi iaCLsTW+sCUtFfgBRV4CwE0ghkij03FomUeBBsVi7HW7TPruhx5DAP4UFtcDzPcWygH++E9wC/34 ubp5PwF012oEqSLBSXUAt3Zy5JBvAbcicBnt3wywqj9/TliFRN732A/YKOtjJffbgyzbWm4PuhyB U60Z/duSz1nXI5rQt10rk+ooY3d1HTMZuHh+FFiC/9ejQ/qQuglsg2B8tqudJWL3rMKQomVPHImb xuhpiJR5ZHCwE7LFOoyqPX4kt119HZ+44rzA+BAvAzak1p7CAHqdSoBC7qQW1Ni4bHu5bo4Wkevo wjHamPICg+v/CPA8GIQTi2wyNbfHFtFTwZf8GHGjq1WPqJ9HIdP5MouiPF0MqHhVCygSy6fF+1qR AnvBot6eLWELd6hDSqsyOCSx2kWcGvv0OV0EbwLKGUq4/5EUh/4MBBLfGx5uZf5cLS1zCR2Uzukq epQrMWMPAffigA4ifYNFnDCptGeGqT8Zjvdt6a6bD5xH+/7lh5VM2pGMm5bYFT4E/KLuj3I5n8p4 dgGpRRcGruKSmETe+L7YTjdEuvMQFjOhVWhl/fOw28tmtZNmPJKL64WCte9RX665cVBjP2JVZmDW XMVnW1b+MXfhQ6KxP2OwLvw6PjeKa6mrfdlUclmxAEmeV+a011T4bTp3XiVu9fhMxuf2+cZayxau jrdHlh/liA3NmpN5wwGh4tZvGK6EBagFWZ6hzPcrdK3dr/PzEuGUJ8B+GVpIj8+JElqDgk/nD0ry zClwaUQLZ3DFQyrZhxzRVnUh6ULsMZ3g48Aw2SeWWlFwP8cCbBwnSAs3mTxxYRvzO3JV7BLuKskQ bE83FLhIJ5MUI4VpNcihg0VVEafC/eDODp1qO5z8fr2Xq1kn+2PPz8EeqPuDbA/MmkvPA4vhgFw6 SDuuvlIouHuXqQSOqWQB4tZUQfI8HGXzsJXpYiLjiRNEz5v1eaRUIOCnR7N0fHVTqEAI1oOBu8G0 fXS5FkTa4P76szgGmBQN8KtABNUqGgo4e36kJQwmbaNrgykLFFhZH0U3aVhhwZ/nvMWkH9frQyCc UySnz1w9rmiYz1C6wFmYnmYnxPWa16hDTFnIe7qUr3Xif0kwavDAL6o63/IuE63jFBaJuKXvq3NP O617uWoOstk30lUfl0j6lGzguPwRrCxcJ9H40j55/PNNwiE4UdlCstMlYZQlYbnZThdZWEAGWldn 80oHkblw07tO5PttJXsmw4q03U7WfSP98ShfvHzBiNFUVnKoWuJVTXWQaX2QfTeSzXYnbQMG81Ha piuImYlMGbGqwT24GwPhld+DsFSqBo7NastTtONMR0g3/8iRN8jAZQiuYHI9XaBGRvcT543nK4Rt EoDD+kyRtpLBazDWxSxFFFwkBeKo7quf89gfZUo2OQSMpRHFcjiObRnHbGg5RNfW3cKY8uPuXLF9 TzRhTNuJpkKJMekYWMbxGZGQTxfY9Qb2I8UnDWGwovCa89iS8Crqo1niP885mLgwH9GDiGhpUgNO cK6A2XYykqPgvz8lShgv9RxB9MfAu4r5CD8fuzSCEQmL8AWgA5oXeBQ7Yc0EeCQUvCu99yK9oiRD RpZ11oP4L3BygLwouXG7r+Tf3q5kOpnKm4eNjJut1NLJttrJQXbysEXFy6PM2lbuNntZ74/yJy/m 0qNqwOVcyYChzlCMJum/XEpGn+9M9dUQ+ta6S3u5erkshB0Tg+3nEMuKrqALeB/TZE0VFwzWVhro fC8RtM3j55ukTGmKXLpkYSR8p3T/oyUMqkBVddLVHZPCQSWAEOuOe2mmahF5zuDJwiie/TSIkt3z QaqVs8KTjIhJyEMFFwSwCUYXwKfrsJBi5X2m8c+MwdI5DD+DKZainaF+HCxU/GO1kgCbnJKB3y8M Si9FvYwfc0TbP7l5zxRY73EaPsoRlUi8v8eOBsJKLRAvV5w3lipOxyR0c+c9EvIE40V9gSI9x4H4 CCWYmD/12bNmbSuRzyaqOS+bXt60SGDF/Rxkf+hl0oC13UvV7ci4niK6hBwxWAl1L/VhTbDyYjSW ejRhYTeQOd1bGbpQSaj6swaNmgYDjuehY/h9NpsG19nVpEYf+3pgSVjCLc5M12sgSOLExU2ZOW8l QJ14MgV9JFhtAYTg+Jsb7J9xN0VzO8NYxDFxi7DrpMW42bUm47FsD7XsDjupDSqgExZqXcWjeMLw PEO6QbYGLaDjz+yubLJQo7LJgt+GI7t3hSKMtxAtzvjIJYY2FDDFc5VfjI9ndCCU2c5pau6auIWt 58oCNo7bOQwPLzVVJ9PqIFvxKhgfcGSvvhiN58iiBMB/Qmsrnv85QD+jhBHTwVFMultQVlE0m9pD typYSVYyuRRWA+b4sNrBYBHzI3Yvv/niQm72lYznV3KsGtY9+ry9lZk8yKiaSTOayt2hkc92nTTd Wkab7+V42Egz+sw2Sq4fDw3o1k2K1gWrJF075vMhN3F3lPVqy7pZly+WaRF4bahk2odM/3wutXyG tbFyJCvX+Sq/k92mPDa22L0iwkmS8MB6Hbgh/D0op3MLl9UtUuJvmH9E4aqR9FUri7rTCq3AoFhv yiLFAc9JgiUUdtRNqkqysCLOabahRVUIrdK1Gq6dk/NmOL14T7/jLq99ihSG7qwwOV3/ZTFKVnwF 3soUqBHxzl4shzUJWr0fvJ8jjmeeweYT9IYx6331H1zBIQqquEtdlg6HLM6e779k+XwCoYVzEqt+ 5kGXMBqOQ5/Sy8XESAovFJoZaAHAEhMAdpA5T4ECOFil7koVg+e8Fws1f79BuY0JkQUUxuu7gxya VtrxpTRVL/vDXh72WwqyRb2WvTU1AMcHAkZBZY+yAHNAKWSH533h6hhkd80Sj8liPxK3mi8ntOSI cdSjVANeB96tgrhJojH+9KHKQhtxpPMNrTA1oQqcxuWkW13JzTKLr7xGwK0SKF/eGxjnTFFhFQYt xucNQ+ASPuwPLOk7rmqZAcNDkvn+oMzzuKEHri7mgFYuXWYoDdt8Azc4CaQzCqwcC11jUWANHjZb pW7xBNrYcI6SK5rKZaOQIurhl7XlC4rJQLm6snLFxMgiKr9aJVS3bP2ZvJFGLMUU5yq/ptcc/ci6 VQm6ia89Yizib4yWUQTTa38MPOs5R8NUBBvglBVvYDm5S0VR/fzkJU4Q8a+gHUPUSAdo4O4kIamv 6714AT59dbs/yrvjRCaylWl9lI2ILMa9vBqjFrZW1MTdvx4j8x5reCpdtSXVwStEjEZtEgS6sTpp ARibICuiNQHEruye9kicri38TqsKwmp02tTBO78kwNYFUGkp+Kg9WuW1H9AOHgv5p4hW1hb+CENh 5dfIAi8L6Dx/HsavCcBTYJuwOnZHudnXcisX0h1QBHEtvxx15MGhIUQEj+OG9t/Z6WZ/zA0jAg0E P/a73UkAIcm8ZIjmza1Wc6hpFa3IAeanCspqcJ0wROwC3kjFhDi6Aj21SZNlOnDvIw6MoAQ5XGYZ 4T21wPpcwnp/4Mm0nliEKvJVAHaQf9ShKu6HddbxVgupKPB7Pq9GSk7yOFfn/T/y0CghjwwEp1Ix RdJodAmDO4jhTIBywBfCJNnMhtEK+Yhe/4l7rgy94813+57g+5/OeuIm205kPAIonDVi1QPkHEnT Wvi5r6WpJrLerGQ61fwyHFi4EGQoXZyB6WzaZ42G100gWRMMbEoFWJ2vpliFWiBKuoztoXTYzucu RjcsugpIe1XscF/gG0mQJWqJXsNJqynQ59UfbFzS70UZ4ngz/qymMGibq0DxO8V7+8NR3uxE3h1r 6SoVzKvjiLXGUBNr5J2QPOwfyyHbeTRFyoo8HjvZbncBUtDxjW5XGqi0Jj2FZ0cLcDqb09qG1YeD JX3oYlXFs3skD3hYxUBC2UAkTVOadyWPIhoa3fjCujKTI0YVyzNmyzAWD0zzHQQcE9JhaaGKiOWh +r3oc6F+21EWspNftrX8djejd/ChR5TRjhmds9YoVKmo5Wd5UGD5IGoxujwx1A5Fu6cw2AU2ks3t DNS7S4JFCs2QXQCvrR0nOnkRcBHDJd4eGlAVqWWwdmYeYrczaNkUPbdaPfjZpOjgfreRZr6Q7niQ h4c7mUxmVtXTr+9a1Rcl7yadH5tjt4Ubqsx/NJXQD3cnC9IXtZeIhkuK79OcD58bRuuCXuW1maDs eEWyhnJJYf3p8El0qVSZZEsjT3QErL2cis9fns7yNZ/TfdfLD7uRdO2CBEgcKC73bxtM+F5+NUcN p3JhldhPtuJ0U1act2iMF3heik4HZepdckYjY6JjDNQS9PtnJBMGS63lkV2B0LVj6Z+14m7pWioo EUSJADusSbrXVj4nlfweuG2p7n7wIqKTWKIfLkQzNuYWo1bQAOZVkqmhYI9HdbWbZiwVpYhXuUhO tV6e1pfm0b7veArD4nMF6+rndqS+hDgCdMBjCPJlDCCariHNxMr8+qaL+EI2ZExA+Gth0QZzLOFn +POrJTLy1YEvrh9Ncfuvlmk+yO6wJdUB+Tp4iv1+w5w1L0Ec79+tokSC1Xd0gNpGFlcz2W8Pstvs pZtAU9P3tO9nTENxKEssNtCa2E0gig7dh2zfqQtJy85B3CSsypUTa2JFHCKCz3QL6cplXCycIYP5 9tl0v84xKgD4A8dODTBYHtg06t4J3B78PsA/o+t1LoKonY9UeWk0078drPLgDto7MmKd/Fz+R9eZ Cuoarr9FZdEPMiMTqIM2olWHx0RJGlUK2uB2MplopBy0FQoraz32lEtYYF4mzAb4liZinHY5ypiQ PiAEqlaggDDF2kG61DE168W6OvQjefvuXv75//o/5LPPv5BRO2Ea0u3338rV57+Q9e07uf7ln8rs 5RfsCsVmp0EgDR8lIpk/p0ap7zuQ0lrgKd6nLwORJahZLrzcCEEnSBdeNJ1L2gDPYN+MC9lW5hk2 91ULvAnaOOcvxvM5mOkF8GDN7Q5r2R82smyvZdJOrKtxL5Pp1CxGf5jS7YAEBXUh1bTiPSod4YAI GbpCgz5hmzvWNaKwM/ItnsObHWR3rqzQGl0xN9HzOONZDfuwEj422oUrGX8OD8Wisj+a80MDBhmF leEoqUu018JHiWliVogEgtqxk8/Ge6boXLW9rPa9fL8dMdfzouk8inMmclcqo7yewi85aqNWuYIK OcvCLLS01k4wUWGvRIDZ0/lCa/LTvVELGdbVP/3TP9PSwnFxsZS//uu/pNDC0VUa1GELs7ahIAk6 tDgKJetBKV9G/hVf1vZMOfqY15yjJRrA0ZI6h+Muu2f23FATu34k3fZB/uX//j/l8vJC7u7u5GK5 lPW7H+SHP3wrf3P5UqYvPi+i80/JnXPPFl1FTWkrgxX/0YKMLqGbznpDWIqW9xWdo6TFfZOVCbU5 OpIpAm5huQPoRzzv8IiLENjIy0klW4SICxoEP2nWTHBh+4OsNw+yWT/IeDyVcTOlxdLL3sLHwQ0x 1zLdk2MYQeD662zbte9kvgR+YG3NQqVMd5WzWzkEYoNFlyypstLBEFiP1oEDuREH8bOdA+PPhePz 1ctnduvGLZ7yfVUG4L0t+05WfScvmp3sfvhBXr68lGpzkFnTKv/NUqhciT3cr7gBlxcLq/oZrp0C MrrLITCQQoWKomyaQeFurdRMyMZqDCnanBKT9TVYUIcNKr5OGRjBsd9t+R6EFQIuKD3j7/n4QhDT K6DAQolrKKthQcnsjg8jemk5xjrtg3EerrUo0N3dVYUC0US1yn8dQPZqJJv1RnbrB/ny17+RV7sD klllsd1wneMZL17/UhbXrxK+9Vy5Ei10/zshmDkJxl543I38owqsGAVMtdcd0A4a0y2DpDOLp/HD NbvIjLSWAAAgAElEQVSfTRe+CkXFHgoNkB7ehIBeIr0E9GETWi5FzEVrzLsKML7UfifH/VEuFi/t WbRH4P3trVy/fK1a46zv4iBniQFAUG3XO25qlD72kPd6vZPx2KtdrmQ+n1Ere16entoHMrubodp4 YWVmwedjm62RJPzTuMcxy3MRcZhSwWQB66/5RieOYiTSfOPZUuTWgTsojbpQ+538/p//uzxcLSlg vvjqFxRgb44HGX3+QubLhXz/zffy7u07uby+IA9pu9my7RnHarWWz3/5ufyPf/43ubxa8vNf/8+v Zb6Ys3EHBAveny1mBhtY2pgvAE9IZq9LuKI6IADj8QctqxBZVWxIreWLC1yj1TLRdS2TSSvT2TRV qchusdIwEB2u69ZkUR7bYg4S8H5a263wLIrvZc+i+Hxds6Kq9C1/R2wQ5ahXDw/y7oc/yKgayesv fiHr+oKYbJpvuLOIvI6hUE9Lcz92POYWPlZ0hJ7MEyd2X+lTCjSWSM4ge57kUliVBD318U/vXDUh vxG0vzcFGDxsOHeC0O1p42u8SWILnfYkS5rOAf7skqUNzZA5OgCj3O5IVg93/F0FbIj2eH/CQeqQ Xx/vg9mOTTe/VOsKwnCDDdhO5YcffuDnEZrG9WCmpzwNe8akDMIsmjIujhjZKlw4H+84aO/Rn4V1 dtIaPlslak2e1u9yIc/PQRjISLaVChyUn373w43MIFz2B3n9y89k/e6dPNzdy3I5o+BZP6xldbfi 9ZBlgKqh16+u5Xf//+/ojr367KXc3dzKZrWW6fxeq4tud/Lt199RGOGzs4U2oLCiVLqOPPLnrLqQ z4cDCoS1voghKgzQwAIELiU9AfaWSkbnBFallsnhViSgDQsPz47ADVOSDKSP7v/wyPtiaILkxPES gC9WQvI5sFZdeYBzCF+nRqVVOcq4qVmdZDFpZVtNH2k4Vl7DY4lD0qcLlcI4eOaRYNVH3qOX9v4S aR+nHpYKAbUBoqWg7z1SoyiYBdl9NDsiaHkvO3v6vUyjKAVhvt6kRk9BrX3+zup1j9sxLR2cY9Rr Xafdfis3797JavXAqMq46WQ8mTA6uLy4SiFtptAEoNoN/6G5r8Kqk8kcGyEzrSGwVqtb+cd//Ed5 9eoVvzcBm1IuivE6yQO0Z/Tr+jD4WMSAQhHtOznO5KaFYS2Vgb+r86EgvFqSJaZm80/wVzlRcC/w HhrPcvNAqKLBw6//Ql5eTpEnTasSltRkOuE/nOr6s+ukumHBTGYTWSwXsrxaynShlugXf/IFLzxB x+iHFZuw4nWE+Nm52dzF/Azax1CjZHGzVek7JKaadAAVAKA0ooUkG7P6LJrbYi5hLUIoA5jPsTaC 3Mm/U3qHl5WBq3gSOPBopQPrPqfFPAecbVCVowRRbb6ZYI64uAYFRt1GJm0vV5cLVjEpcebHD4fX /DJHr5Q0wKk+9pF0zCeytppMbswmb2ztdU4Cn4yVJwenLrfZFdK9aOkHsXtItKIGk1teRycZgwAN 8/XXv5ebt295Xpj6qOMNbhWaEODs9w93bFLw/fdvpJaR/OpPvwKCIYtFFia628s0yxPB0BvRUSD0 poVLpeS/jsLq4uKCLdpTCRILVBSr5WQMn1psGU8klpGsvzxHcROnkw/vf4hdUVhpigjdcqswWgZV NLkbeFI7Bqu/keN+zwqk4FvhCtjwf/LrP5UrKINRLfvtTq5fXmt5aHP7Lq4ulBm/A/g94/WacStf /tmXvA987osvPycfazybyOp+xkgdBB3wrNQ5OkTe1AJR1roWY1RiKzMt6kxp8VZ0dAXrEZ9Fc2U1 Qozv0OIqqmEoiO+KUxnuOp5OcFVaYBA+NmYUaIG05HuHv3ugwMZ2SGqNljCEquOaDBLQ8sezwC0V mYwbaauGWRw/5ogrxpGcqKiqjyhg/BouCT6mcMy0WavZk8zfIHfSB9LthBy0AL6kTR/wFlV4BigW j1RSJNwFjX/Hy4Mser/dydubG3n75g2jKdB6l5eXfB9Wz3wxNdpCzbw/nODh7laur69o4vs19Raf ro+ulpanU5RBh9lsJrPZXK6vLwxLeyHzOa6tuiWZ9Y4xRFM6yBcVGc5Sz9hfAnDD/cR7KKzDs3Kq fLKEPbKQQCBDxnksnhtAtNIr9sdOVjKmaJtXO7kYiyzqluk5cA2/+fdv5Ms//5LuIU4EKwou4Op+ Jbc3t3L14jrx3iAUYI1989tv5PL6Un73P38v/+mv/lzu393JcXmkoGPTCbOuaO2bsEmWjDPS6z69 z7m1iVX3z2kJR2W5kwen68LXeV5zZlUbjwlz5xyuPKb4fo74Rswxg/56uAXLe7GKFBEX1WvldDd9 zWgwVncO90whXDfSjzD2BzlAcFUqwAbh7Q8SVh48ztHLgJt+ZHcuWnkfSxg22eAwsmfAPPQ9x6Fi WN60nhFLMxiu9cGjbIt7sTA8gnWVA2YDfylqTJQ22R/l5YtX8sXr1xRWwEMgPFBLHZPMBgZ1LZvV JnVT6fYbmU0XYYrzdd36V00baRgo0mfRKatW4GOCX2EB6ELULT+fTU/yy04MNn+ikwVhYxpiqRnj ytc9Z1Wd9xYj/hc2hvGyuCFYPULfJ+A8aIQKV3DXVaybv+1a2deNXDVHeTE6MGIIWwbr5dvffiPf /u5bWkYPd4jObuTL+ktiSQDXv/ntt8Sz5osFrV64fJij3//2G1lczOV3/+N38ouvvpB/+X//Vb78 0y8J4sMqcjc5Ne7FRuavMeUrW0QaUbRCk8bVg5W0erjn+ZiWEyLZDlfwuc3yxMHooFtH4TtpDqO/ 7ThRLMZo9KDoZSg1RC26vABcWWQ4BO4qBewRAknx2czhwr3g3nriWXPZyLpHxZBn9iw0dzCtIP97 KPM+UtG+9P2A330sIWhMd+8wbK6guQ5DkmN5BNHJOTjKsUepYjQqzU1B+ZFB66ACWvFfB6B07GCI 37YHpTn82Z/9SiaTcQJbvdHm/rhRvlVXy3EJba/v394cZDb32lVun8MEB9WhSQtTKRKq5bDI4Jrg dTSX4LXMPaaPbhn2cEcjGuEDVdpG4UhjEAILPoxWcVPdwGAFnIzP4zPv4w2XyQvLaUpKbRtXlY2n 9DCtpVf8x4MtBKvRe7Cr5fv9SOrRVC6bo7xqDzJmCk4t2w0UQk/X7sXrFwSzD8CvKBR1Pq6ur2Tz xUbqBg1QwSRXbhOuc/3iipjW6198RqwUOCNaeDkG6oA5rDyHGVCHSwV3TovybArHhdQ91PkEWE4+ FbEtTXvJbr2urcojjZ3iVZE3F2t1DakhrsR9betU6n3oebJwg2LFP12rSvuh9WRaukfFXLPC+h7J 4SM5HPx7yh/DOIzHGF/N3fys28lvd2p9PecY4llP2WbRvvgxR9HnMJbP/tgCizfr/ryxo1NrbnuU Im8qhOy5gPoDfW/k8blG048NmlOEI3qdWfoHcqi9i9SQqhlJ3XcUVs73GsEt0PYotvi0koMuvFo2 65VMZwuGirWihGo1TXmA2Q3hmmcSr3eIWG12jFxNF1OpSBTN3XZIUE0VCc6pDi8YGIS9jVtsn15a kXkTxaHNJxhYQGFs05j5KNJaBklyz02Le24rDZPrRlRtTc1+PMh2s5Y90l2IAdkYYEhHwI/AYm+k 7nfqSth1wfuBIPjlr34pu/1eFsu5TGfgUFUUPrgJAuzzqaW3qACB24hmE6BCwIr76i++ktlyLn/5 d38p0+mUAk3BcE1WjlvLN74KV1SOOHAjO6eKlhJoCE2rz7/fWW6hYVfmgmu6WRZQHDUKjGxJ48j8 vlNstaSNnMIX8XO0jywHNVljg0q96fwJ7yVim6yvtmmkaVVJY0jmqF2v3NJnHyWF6PFjiG990DUe cf0+JvDOKKEm+qoWiAB49t6ypeN3kLO/c+FqijSzPtJe5j48Z2fmXnKphZaD9n49qza3QzQJi8yF VfDBU/kTbsIjBVgzmsjRLKTLqxe5pIc9kBb0g/tYakosdEQG4caguUTCMnorH2z6J7HPTzAl19An UYkUYfTgRHrd/p1o8YD/pVfjPAShl8bMcB9qcTxzjSiZWpERTFDcBWRcjXIh33Jf1dI2LSNtI7h9 dc/qGKu+kdu9yItxpmeAKgB6wGQ2Ek8tJyctUTN6KglyilygjjUHjiz0meKJAOtxvHilc4TvQdA4 TtXJIVtHYRxUqMLyQD19pX8AO8K5x03DckMQZqPKrSvHXf0ZfN5ykr8LHlfWxLMsIpddwey2p+Ef CKtY3FkVo1Zsjb0xC0zUI4dFmWXHMz1VK68v4Ze1h+Jz85OHsbMhAhYQm4Lh3j8DVE/QSjz5p6/W YFaE8a+cFR58mBI9C0x2N5/oY1u/QgqIMARFcGQQaQnWdbYgkhZzGgLCQ7CcwoixG7C6CWxiwNwr 1PFpiXVh0S6Wl9w0ml+o2s0xuuwKmlV5BKNdC/XVTSXtREvS8JnMzPcwu0Z1FPdwOkImCZqgD2tP tY4LqzJHLVugeVyC/Ck+V4DO8XUbEswfxsQLFpIeEDhELjThavCZYYFhY/eN7LZb3jkiotjkqKs/ q3vZHo/yetLLhPwmvRatqKHVYecvAxQDYc4InFpEmhRurGxb+ZoepkricNiyCw7dQrsUhKm6WfuU SsRzHQ60KEdtK4cdBJ4SMHVj6QRECz5hQ2bJE1awwyOKqUZVAUzk5znb0i34P7qflFaRLJbwFV1P WvKmFBe63olpdUpIdWytNzMJ35jXB3mQ9nmtdQfeTeEi+tr5AEuIsIh9P34vCbJPKLQa9a2zGxZd pPzfCA37xHkFUQMp4XZ4SRYNCaWIiresGm5Kb94ZozaRB4X314eOpDm4b175AAsSixQuHzR9W41J YRhVY2pobFqUH8HGAwOaLsxkIpOxhsvBFwrDT0bzbqXCbwrOVT3WhWB41fDegZUBRMYmoaUxnQWi re6O1HQzg1uFgMx19PNrbk67O3yuppVPhlNOfHyTe8MxhLtr5VpoXfpMej5eJbvdVnabNZ+LrpNF cvEe+D53x1re7keyGO1k2WRLUMckuk/lTlTh6wXpsoDQbtOYP7UqoFhSUMUsDFpVdg+eolO4vf1p fXys3+12Q6sP/x7WaxWoBadvWJU1rukwnrDizSJj4CWUwkwFJYuYUkZbY7AlWf5m6SpkYgGOKNzN HisatOI7sIp7CCnD8gblZGrp5bPmIN1xK6teXfCnDjUk9PfUyWdwePnI9x3JyIh/F17Gp7Wymp5k Sh3c7FfnRZ7981wYOvr12Tgq7zI2YlV8yd3NCGTahAUhWJ4jX4EYVLiWm/0Aa7OAU5Yzf0dxv92W oOpm9yCX03EAXtPOYurN/TsIvhHbdmkWP6wnc5f2WwpHbAI8w6hulT80nsjd7Vs5HCYyIU8r3XXy hd01VMHhFUw9PB+f08tKK6coRkuH1IgyYnlaVhkC1EPn8fxMurXxoSXVjmlVIe8Sc4XnmU7m6tZx g1Uyq4/ySlYyQi3xVCY7T467KO4yDW2uHLhRAaxlgMDAjhafqmRYfUrOVJDZ4QUtNxSqeLLxq+b7 kVbA3Du4pBMqEGBhVeJb2X2Zj+NCTwerdCA8Z9ELM/raSyVkoumQ1k+Z3+kf0aJ9HQv0JUMgWMx0 PdMaialaoZpsuq+wN6rMSVw0nXw12sq/bkZytCyEp46y1cozjkcEz0l3xD9ygb8G+UlxEySSJwfW qyDmhTU8spuj2pFUgk5dpqQZLOtcrZOMG2TspsSS9H39DJbjxPoLemkYmv8gKk5zsizeg+WjUSqw 0e9ZUgaW1fLiUtp2lsLkydzvRG7f3sp42iibPfXHUyMZYXqExrFJ5oslrbXZAjyjKVnI2+1WK0AE ex9YitcDd7Z6HqlkpNjh1RI8pSmEzgOIkARaEODJchkcySJBGpEJABwYG98gsFZB+NxtNrQUIYwR nGjHU15332vH5y+mvUyrSXB3M3ih3wOoroKDPCZ/UkICsFAQBKmIF3pUzqswADcDz2h/AJ8Oc9sw 3UlPr1YsLTIoDgfIgzsLJcHz8XPWEOPYcT42m7USVw8qNLDG81i5RZTzXLUKh1qZOaCRK/H64XXX klVRjnxyA3HguvrMun98/StOVn5Ta3v5PhtOqI9pwCvt73GNZrdbuWHG7ftdw2c4j/merBxzlO+e GXfm9v5oR6PWlCZSxoL40eAvQuYeQQxAoE9EdBUgxDQnC6/pgnGS3QmRzvGdIoFX0/Jgltetstxl 5Jq8RgK7EgatBK6YlqUbuN/I3f2N7NFVp55oiWSrcZTAbNzfDgt8QoEFYJTF3Syao66ktqLHObGg Z8sLWjAw2ft9J8vlhdy8eSPT2TLhRuvVPa0+uCdlkLi0quKh1VW1lRaeiRUorYpnQjjOEF2jlZuF Wm6sgfl48/1bRplAfDz26PizoLC9f7ilsFgskVYz4/3ia/CC8MzzUSfzFlafz1VosW4gPp4Vgg7H /d1tSshFAjIUyv3tW0YDkXROIY61AOqE4X/3d+9CIwYVTLx/fy6wLmzX4BWvVcX0mlB7HdeD8iBm xyjmxtxLfPaiaODl7lh2T41vReKo4025yGL0BqL362OuCkfBdeJhjLjm9mfZogu5riFaU6rrksbi s0vFyOirFPsNO7FhccvnCQ5iT08wz6NbOMSjaO0NLKxzp/nU1hajhMNkZ99cQ63+2BHJdm5ZgVRJ S6jSmkKqQHzjhkJndj235CI4r2awCbRUuiZjS44nJG6ORTn7I/hHtVwtX8n6YSWbw0omM4DFU05W WuzMN0P6jRP+c71zTZJdyBjh9lFroL4xkinYgKl1/NxqdU9G/eX1C6ayKGhq0bngLkTKQ3KjvIQH yI5mQd7c3lCQaHSv1K6F2xAjqkHzomsLhN52tZfu0MmW9wSsbi/HHVzejZbdnS9pFYNXxfA/hGxV yXzUC7NsnO0fI5X2GjDCt3/4TjlMTcNKC2jWAaG/WT1Y8cBe+uOBrieEEQUiyhof9swUwCaEwPEo ZlSCHg0+WDE74lXgXrEYH+YDwDxi+4Y9sXOPCv3NZsNxwnzoPDpGaF1tjqbkKvTAVAsRmROgZhSY WWCtc21636uAR9Lig4ttJZ5LpRv2zaAkTTwi3pfcRPMEcJ8oi8PE7rqs76+ffn7HQheOj74/BOcH RFI3+gPsWgg/d2M/fQG/Ioyn5rC3/ErYFd2bHB2JWEDEVlTo+GaMvBMPGWdsJ2lsO088cD4kPC/G LUFxWAm+aFOJ2DBCOdJkpNe+kfUtmMPoDi1So933+oabC8xrfG/7sJHJHFbZSNt/1WV5Gd3Aal0h Z2H98CAPD/dy/eKVbbwdfwdH5ruvf8vzYAPCtfLqo+l5kmbNgYXUyCJgQdgkEFZuLQw5WEnDh8Wf rN9DJ+uHrazXaHGmvRqvX12yqN3q/p5WFlzBY7+T5cWF8pkOO94/omo762A0azWU7hG0HOxQiwcu HNya+cWF0hzAcyPfiVKOz4VrgrAKqgSuUXWVtOyrVxFnwgGBRgvHmOoZuNafSVBBuWyRatXzudiw wRQVyKuwQNBol5Fb6+IEFz5H6LxDM7oBKSeN1zFX0u+Z4Lel4ER33D8bVme43Sw8ovNfBgtKvDHO XRRWGs22QEqokRU/Gw+c7Xrcyc12zy7oz3H6hiD5k58NQqx/RjVS4pNhID5F5dJGNUTU4jkErdhA ORlRE+jfEacJ8CFxK8MePE08buDBS4Wp2+W8/AbM6uNOaoSsuVE0dA/cJQPV0OYK2oKPJX0j7Wgm zUxkt0E0rJMN8rG2exk1new3mjyLtl0tkuKMv5SFVQbx9SUtpgZtDS282+/IvKYLWsO6GMvi4pKf v337RlpUimDZXd3oUWPm5/dNWZYwxus4r1sA51YWE3VThdhOtjuQXfdy2O1ZZPDVxXVBo4B1M0H6 kNRy88Ot1KKJzdjYoxFwqEYOJmBRNoYumW8UY7cz0LHdslQPNjfcYBSPI66EVl8HjbISC0JplhbX aOlyEwpAtQ26ybwpFYhmZXqUrLQY0WF7Q5cS1irdSLwNYUrXXvFWuO3sUo3XEGBZrWU+B1l4bLXS dyF3Mlg6JozjGt9sVhR0vgYxDt6KC59JZNPkjrobGBTwsLjfoHSRr4XoamrjDJQpUmWrDTvca4G3 YsJ21JziWAhIPJuRlYvzKaL5/iPJ7h8heBwH+5gHexkl9yoWyLMPONgZgeV4ZBAxRFTcrDfuDgwq b2Rh3yrOoRNYVo2Atp/CAiFRsaGQIP2Cya5wLzTyCOFFwYL0k3ZMdwiibtRgSR+pMa8/u5T9DiTI NfPV1KJACVxrKHrCfgvPZyYkrolSKXwF1SGwUYClmCV09fIVn2Fyc8ONtt/PuJlg0U0RHIiNJ4xb NozyAUdBbS1GHb1GmWEjqhlNkZhpCVnHWvPbvYynrcznE3LINNJoz0UKgVb8xNfwDAC+ParG85m7 Da6VUlzKqJT3TNSyLLCKLG0Gz4ANA5cKbh8Tdq33INxiWDgVmkZo3fdUfjlFavF86jJinBhUYaBG heORtBFj4bdjRn2325U0R/CPtPwNSuGgdBCV1gHPt8hcK+REQujZ35Emgs2vSlkDE3o7wUbSNk5F ddIIkSQII67nFPEr68cNXUSFOPJ3cmPZDBGkDWo0C++bWQXBTlyJ1/wQOD2cf7Dmh8JFz//jcCl+ 9xN03mm8iL/zFTzPzSOGfCcQ6BLOYCVWUBHSO+3kiTLwFJGaPTRULR1WNeXRCXQcnEPzgw38ZY1x 84y1eUArI2JPB+OvqObRtAdgSj0tDeQBNq12P4H714zHcuwepGlHTBdRrWZXP0Eshy+Erig2LrjW DJ14GLqG2+gNOyDU5rJeP0izbhXHSpsnsigdcLXef1aH6u2bHwiK9+PAweIPH1NNykYlCpRu4duj irl6YOYniD6mN5kyUatZXU5STMhG100LlnsstZJwGh8Rc8W36xWTzZV2EIcKmN8kCQAuLLheRWQO kT+t6AAhqmup0tQglEdmWs5RNg8PAcfU1l0eHSb+BGG22/Fe5osLGcOSs2APBBoAeEYYMU+2oYv+ j9YEV9N0tEihPiNqmmn1UW/+4NZPREzcu4A76/WwTsVFWRJ5eKQ+oKTJqIXvHclz1NxzfF2w51rw jv/Su+DcfXzk6KcIq5Ocwo/fNacIgJR4FH6c1GXPaQ7ZovJQcI4UMv8LfClrYplJohlwzonAsdxG dkvxEwsaILeGoHGNRsPZxFZC8rKF8adz4CZbClMy3bujbLcPMpnMU1a8HyUwmrVk5M1EoYWDhQOJ p2hxOAgjWisGkiOKBbcQ0Tdq8gS+GxfN3YoA7oLwCpoBLB+Xom49kiiLjiooZLgGA7yX+XKa2se7 AHErOUeYlBXu0SudSB0TPy/bL/To/WgJuMmNSbOUugC52uI4tx5p08J+tXGOED2NPDLMP+ZPE4xR mxzzAE6bKj1QEGCBIlgB4QXB1xKPOrDSLJ7NrwM3E2ABS2GjkijpDepmYgyZZMxAiuKcSE3ypGFX bI5/mh5IQQQNkjgHy6ggxdrOwRF3Bc8Lq7CcAmfRcSynOqgbGvDgsAFzUArBI0nC7WidfdLBsTe6 wUcAvFNMAXv3JyLonypa2KTIR1To9vgFsBv+m/g8Luk9GZSuk7px+H2zeSDGkwDl9F21cKLmUsWu LWeR7Iyuzvq6amdt9600CRwAcrHAIDR0Y6IksmrMFl1796gOoEAk3AhYXfP5hYHJmvzreYgFiJ/K zWQgP46B1o3f65sNrBW4RMoTm0znSRgo8xrPHih7RSaBj4VuDESp4N4A54E23W8hAEUeVuAU6TM7 exps/HZSdgBOkaMQgSSYXKTlmMw66u/oBIR7agYcG4w3iheq5ep5nqguOmb3YdXuSuhUXeHjpxwr 500ddqjM+kCLGN2LsNZ2uw0FFHhKSvTtUySP49aOE9WA3LpEhXErVdNuJv1UOX1OK+iQDK014eG+ e/QR50jgfspJNNGbkp71c2rpWKkZumkZU/Kx0QqkVkG3QG3LIxoCeQl5dDE0njDvITAv8lpBdoAZ DayA0mfDIZNqM4XiQw5anwOMyS9/Hvz5j7Wsipru0Foc/mRF5AWfb/7U8S0iIV5byRtPAgzer2Q+ BQ9GDyw65Ospo2N0eh5rlYUvAGzHActFFwj+AuBapXw5YBROUdiutxRYY25kNdfbdkIhAM0NV8tT dRAi1pb1GuFKKUX5jgbWXsQ3bPNUyh9STw+bDnyvEX/yTo1QqViIjZ9ZlLCWaCmOrPqD+fvTKdrA o1DhA6Oi4ImRUDmGlaZCQjd1yC07Mxf6M/CJAofO8Q9ETlEjH/+4MWidaACD7aa2au3AwoGQ8SwC CGIvl1Lm0+X8Sq85BRAb6VMo7wNrE8KAZODjkVYUBAaCE6n2FDEshROyGzj03X1ux9I3mXKBtQMF AYGVK5CakA9VS339Pjw8UIlpDS7FkDShWr+33qzl5uZGXrxEYrZacbFD0/AYCi6nsbhwGgTi03f0 XObueTqReSsewR8ShnmwO7XIQ/dhretxpOX4RLTvxwgsdyE/qcDyGlBaYRIvZTPYGQ9Jjj0aMsjT 5WDk7rhNUTLIKCxh5eFkzCkKhvTQIWrjZWA8nQULkZgY21Jpcis2PrraKJ1AN7dG2hAVA7nxgbc3 Ze2qnhsRQgqvI+JHl+eM6f/YgechPuOWmeE+BPCZGmN5bPZ6H1wzbCaoNWwUCM9+2yccY78FneGS ES+ci91dYC2AqW1RqGLEn+D0nH9d5OF2rZbLuGH8GTWZIPDBWl+vAZor+XW7XTMK+mIyoUvXwQWm cLZWaVXJAvdrKm8I7q2WrWEBvVFDXE8tO1i9Y/LBSGywMtcuRCEw8aiRVhCpAGVAB+C+Xg/ndex0 NFILmJbqAPVNZNyqkh++/0G++8Mf2PUZNBCWvzmgDdhnfB8VbD/77JX8t//2/8jlxUUib3711Zjz 6ssAACAASURBVFea/mOYgXcxj9coYZLhnAQlb8+tAYNQsLAq90LET/XQNYs/b4+tTOu9bI7vWbhn 8Kn3YeLZy3jeOePPT3Ww76UCiOcK22eNdIJxDSsHhIgIIkJM04F5X9WyQvG9WmSaOuqEwv2h6gOM Xwg3dscJ7co9nKyaHSZ/riK5RTdmEjghrFQ76sbTet6IEl1cXiWAV1NJIGDGKUzsgGbkmOWhcD8q LzR1HyKWkAu/eUspRk6NHuCcHWxkVoOAZQHBCk6TtT+b1RMZz5TB7REkWFJ+B3HlDImcMXo15Po4 UA/sa7s/ygQ1vtiOTIUVrCm4nQDyYaGAdIkxQ/lnTTXZqzVDrpKWemEVhQEFBGPkJaJ3cM2PsHan atkirxNdi+paplNVHMN19t233/Hay4sl5xk9Bt01h7vMcYcFtfdKDaBPjJjQDoHrnZ2/+MXnJARj 7eWcw3C9TvEgnPPtm7fyg7m4gBbevXtHwYTCjHg+1Opni62bG7m7v5ev/uSr4OqVXdF9Xs5Zvefm zNfNcKul8waBzbdCNyuhF1PJXTeWad3JRX2UB0Rb5XlcLJ+19wmjTy18fnSUEMTMGJk4pxnSMFBI WeSIHVVAQahlUnfkhIBFfADLg9YGzP6RPOxqqcmIRq6hChM7Vd6MDMOrmTu1Desdm4F3UGCl+8xu Gq4H16rF5raIVYqwwNKaTGU8mclmdc/XmYMmanG5YFFhZURPt4xYBrqkeWRzPxA9QzQVh2bn4+2u 6LbMSOkBJWwOMrlAVE+F5TgNrEbVznF4njo8YpQGJRz4/upeWey7rmNBwmYCmgEan+YQCKwLuNPY 8N988w3d6BcvlcsFaxLCAK60UhmgOMI4RJDegiWM5nrROhTUo4vX5uhi+QQcXVwXn3/79q189913 FE6LxYKllu/v7+jGLxZLblq4a55PyKCDKZHb2zv54ovPNS3K3Cov552CDAdtT391dSW//vWvaVXB 4oYLjkYmELpg4eN8sNp//Z//M4XWdreT1599xgKEJwokjfeTU3UyNz5f7onAilU0JdRNO1M3Xsy9 heV9We8FrWzR4PbdUWQnoJCcpCifXv99N6ie6gcdz338gJDo9z7AjXyvAxwtjYRumaRBN5X7QyXb HvW/K1l2YKcjcbbVhNO+ka2MZNWNpK2OrLFEXhC7sKDkcfLy0zXchcLhLZYKtnBIEgZrm5G0UY5Q 8nsg+xmDGt1ysCDQ6uvqWs19XQyWzrPXJpQZosrM/uGkRxJgiuQES8YFWeROpe8aGkm+GIICHhp6 D2h6wm6Omnrwmajx8dpmtdPa9JNGZssZu9xECoqfD8LBm8IqbUGfA5YV3kuuFaxE6+4y5Atlo0Fd 5t5bdQ3caP2s5xPqvUAYXFxeUlhA6ADXQgt2WFtgq+Mf7g8UFQhDNK6FhYSAzm6nFpFvalduilE6 hqR4o1vK+ByyCV4ad86xNzTA8EdS0imUoZM4HU/LWF0qumfYbaoVf2ZC0ywO5jPm10LwagqYc+Cy p+Frrk7FGHu5qvdKjOl7edEepa13crMfyUom1gzt8cPzBh8TFKG96LOP5wrsuHb8Es8F65nv4sS1 XFA/WzHn7mpIAL1oernZidwelJm+OiC6oZoVn0AjzkkFFrre1NHD0PZ9bKPaQr3pMlYahJaThcd1 o+jCAw9p/bDRBGuA0KbRPfzuGxNnQZ4fuTdW3pg8ILWzixigh7j9OkOLJwmLAqcoM/o16VafzMl+ TOJGkakKCdpqaSg+d2CZFyeF5Ujqef1YuhX8b7j77FJ4xBMC6+LFQlCBfcI0lWFHaAX7cU8E95tW FouZVQUF4K65ofiop+gg4go3L/KFCtwzYQMmxG3lDy1Fpyogsrjd7OSLzz9nueUX1y/lz//8zxL/ SmEAK7SH1wzQ10oUejUGc46axxhmQkmrllyt95CJmDlCp2k7Hmzw+8e52WgkkknjXACX5DwPktoD NaD4VpzblIYV15sL11wfzi1X9wD6QOz2DEKdT1jMvVy3HSPs2yNsrscbVHDMwj2Hsl8nn7Op/Mnu ZTqn584OLpQEaP+MXEK4aZptbukeQwa2WxCDh8BDX45FxjVIer2su1pejY/yVjrZSiu3+0r2AMdR JaDqZIaomOEtGKSDs4ld4isxO2kxYDjeS45AquWsEXe5X5PmMJ6MqBm9LlbNhp86uRCKSCVBVYEX n32eolFMynbLIXRnhtvDQv9j1bTDtIqMQsbaYRlDYj3yA1KEMn+KwgObwoBhhfzgGh5prUBIaDxj 2Hk6z14iCj4ymyon9DoKHueNBOzDGFiB7hAtLBVYSglBHXR1tZhdgGYTpGjoHAADzDH4uDpKSzwK Rc5uehzjR1mDjHqk4+GJ4osF5nEsRyY1qzWBv318qLggmHYHaeqWDS54PVAjmIqDZwf1xYM6XtLG XVbF2XLDiVqOdbb01JDUNQkaTTHnzp2KTVtSIv/Tm2w4T87/ckKrW25FVDdV3HWrqmfqThzzHEHM QuCZfXT4WfYGtr/PWThuYLgFdO7gun+PoImGmnPGTsfleUKLtAbNxdNQtYf4kR/mjkaKokWdSoml XZlJ1hxVsmyV1Ldsa7mutBbSTmppKKxsMM1kRi0fRs/Aa8I/ewxgK96GSheNCxI2O1Ii4u5gzT5V WCmrGotQk1fxHMApwHwGURHpGsx7g+A77hkBQqQHi4EUAdPAuA5wAxMhJ7olEmrT4vVJsy4nnnum tIta9psD3RdGsqBRjWSKLyrWEtM9cnQxTWYUVk8FgpDTdzjK+n4rHaYd7nE7kj1atMOytMfJVmpe Lo1bM6jWSqKvRTV3e5kgwmfNEdYP93SltIGpO/NBuAbqhwcissWideS5ngh0qxAnFaQdpdxQV1bM H0RhDLp2WloZV8O8Hpk9IYrHjdSqlgp0C+VeuXBzrpSu38yty/oAPDylQ6iHkbFVKhorHKlj79V2 Q1njYfXNk21YRgRVKGoQBsC/u4EOkObvZ8ufj4LPsRR4Z1H2CEvkK7tH80z5me7SoRkyjsLrFKOh NNtQjlCQPUNYpZzChCm957NPnNNa1VtddFoBOpAQ5sqtyuffM60DD6gDNQl1DBnZM4bwrMGC7+Xz SS9dhZpU4PoojydHVzIFokWI3Yvq9ZoECnCTg4J8QcvJc4GAjYlFNpvPlaPk2JGFuPE5pMeAugDN u7y8MrJjJ/e37wjCMzGG+IQucC56VGtIkTCHPM5X9kz8Hn1B8xpNWHlaCkB25Yfh/tH9uKH7SmFF /ldYaIPa8H6dwk08aXWuBwsm7tWygihYXC3l4IRbAN8n4jevHkNJioXkpFq0kcd9arpNL9PpglYW O2FbWv4wk80ju7kGVX5dwWQrEWMuDtzAmMYDheTLF+RZuItcn6l6BQImU3Y22qy2MpkpUddxIEnR xAMFd+4WNMTcslAluJ1zvXXuPJgSBA382wSQB3es2IMmFSMlIOOcSJjWgJRXkohjFr+PI9Wns/sc kRO3Y+coXx/F+RUIkR9z9E8V8XvCN3wK5nK3060/i609eYfvE1qkNejkYKKVWcyMcw0hUju7hlHL wwcmAmel2+QWWeuBN9MC2ESqSbJZrV8JiZzue9pQqKsKTQvrB5p4yjwydHZJXU2s/C4WKfPMtg9c WKiHBFY1iZJMgh0xEgSBlcrUpNVmVSyZ2xW0YzGYJqjqgWAxMiOqXVLY77a0LjcPO7p9KBCo3WhQ VdM7ydSPhrzdCoh8HgdHnPkcP4+NjbIyzWQs4+WUGCEsX09F0dzBEn90YmJ+AqUt2ATLdDIj5pca VvS9zBZz+eEPdxTAdW1cJF8Iece6WeB3qBaVNxS1ouK4FjcvLU0lAMP6deuKHXaQCD4bUymxZdlI We5cFx1oDKrwdB1Y6o13VULOIdxDJsare3jOEPSfkRDq1rOxUpKA99xY504FulheLY9Fdr3iLiLX FhjI/lwZbuLV3FI08ya3iau0E4+5rFF5oflt9yOE1lMun6fAnhNM0ZUb4ljE3aL16Uuker7V50Kr HxJHnX/kwitlgKfVbevM8R4XUHaHTgZ1Up6TPR0Xjqb4yUMHLYFFic8hKdfTMfANaGEIHlZHgGCY jOm6gDvkFAtsiNXDRg7HrSwup3K5eKFpMgYcI//w3bs7NgZdb+A6KGZ3wUiUViQNLXfPDmxcnOm+ aZlZakci+xmehFrp07HMZppuwudNqUDpTGkcNE8yuy5aOtetE03oZaQolLEGmA/S4XQ5kwqtyYA5 eWK6ude5BG/csFkYKmUElgM2E9zU3PmIhQBpVU2kMtcbY+Qb2pWTp+AWwLtFwTwShs1ON8hgBlik 3meSxRQ5/3o+VKAARkUcE5FCctIyKOHVLjzA4E1TtTSy5RSy4u14UKc9zmdew6kBqitQehM2ZoY1 cX9YOWsfx3Mb+QSLHLwW90J0A4fBLP+JII56oBWFNzG8YUdyBrNqWTad3AISYZeo5wkuCggEhnKX v5P3z4Mk9vqgnHJ8guLv99xOHE+uf7tovC9r85UtBnJ2ENLFa6lHZS7yV2gPaHdvtTUaF8Iqm7Je DVQjMG6j6e8Z/2C+V4UuwJZEy/rvShr0lBeSAFmErZa72y096PnFnJtytztI29YyWy5kttBibuim 464ntCy4QFWFEsp7Rrum01YuLnAtFQZ4HQudnXgQvXP8KCWhhgoItLIMWE+dXFAxABtFNyfuG8m5 6s6YC+bdX6xuuVMcEs+0SAVSvMtrfVGYI8qVaqQjdUlbms3mY6sfVgqLU/clr6w094YReTqMu0vM m2RSt/LXdru9LC6WMjarNc9nuTQDAmOgsrlosKhY9kf5eIhEcpyaVm7f3iUrrG0BrO9lttTmqicR xqOy6RlxtQghLO9kg1QVcxi9UKBa7tbFJjZoTWVlTAFYZVu3hNyNoSK212ExNyjqGK1hU9QROjh1 3auyBJPVlE/cvcK9016YDsRHcnZlrc88BSnNY1XL1CLxE9nLrq+lo9J5ntBi4KtWHOvH1LAqPZEn sNbHvu9BA+83GhQMhan9Doz7JFcJLiE206HSWlRuExbawBougAcDop2Cqbn7zukN+YTEKJOFlS13 DOCvCzZyUtiEsiFQ7ZOPMrz3tysW3tPJh4DB76iXpPmBmEycC3lsKC1DML2q5Xe/+1r+4R/+QV6/ fs3z/dVf/Vq6/oVmNdqGToZl8QxWsQCRS9QODuA1N7SZ9Gg3tbrdpZy76QI8JieSpqmkJQPrgtE8 T/KNyeS2sbAxN9sVFyxKNcdyNXFcnX9WmuAueMxNZ0OH3IqscEmC7ejDwPPVI6YL+f2zAWqvbee1 LlbeqMQmBtFNHC7ICRzTjQHrfi1X0xcqrI0kiWqp4ymY8Evt3sxwfzQJ8+bUZrcbuXwB1jzatmFc kOQMxaP5p4f9VurFgmPJ6C07QcemskpnwOlhXaVWW2DCY6zMjNKkaxNiSKw3VwxKgooQ6UCCwE05 Ly7MdByztwHFACVcs3R4Lvntisznwq0qrjVvh9crDxEWPLhr04lajz5E7HwuIr+Y9LI8HOT7w0Q2 okr7pxyFw/GYMItdgT7wiom68QSO5dlpiTiaLS0hOMwJtNQRTppr6FR6RH8SI3JhNQzxpnCw2SkF 4VJNPfyOReDAuXPCVMProlUCqS4YRPjU6a8Yges7aGKkaWDRIf3myFIl15/NpRlDyBxYV3y93TE3 7O///u+5YJCG4S5TRdcRkUt0YfHqEp6qo3WrjmDxexv1oA0RlatbgKi1bNd7VkKYX8yIvWSjP9ZU 0oXMEsbWsYibJtTr5tjAskKVg4mWqDF4xMZIh3e3RQCik2bSELfyDAGfTxfyqUfesLP2qVxOglUT oIH71RSWzoXyRcIyL4OGIoXTkDhhjv1pmszxsOV53Y2B206m/WErswbCSl1AzKVH4oYH3sd8v/vh gSWukXepGJyOJ3IYUTnDXUesXdJHGC3NQlWFlK4z1KHHObSWvmK5KeLIKLBGFImHwSPY7zXzgpZ7 mVcZ91LcC8k6T8X4yodLgYmEn1mWBNw7I5XWVsII/D0ova46Sge+GXh9xEc6GddTuW4r2XQH2R/R Buz5CdLnBM1zBJDjTj/mOHd+t9KGbryWAbDFR5cOrhE61oYql25ROHCYtIAv4rBOoY2cGe0Z/g53 uekNl0ndNKt2wFraxp2yCg2wUA5Hq+pp3CvM1fJyRgF2d/NOhBwaxT/ms7FcTFGa5chuK7dvH4zx jk2hbsrl5VxuboBj1fL68xdydQV2tQooH6BjsZjsn7XrwmZCJUxGGTstGHd/95B4Pdg4Fy/Qxh2s bhO4LiQCB0onQgVIaX3pYiYPiULMammluXDBr2ONTcQ8ShNYw8arynkyoRHcBxcW7rZ409hUax/V L7ZbRlThrrH8S+AHubvkz+aR31x/vIwReo9K/m7VWd/dvJEXr8CNG8nbP7yRpvGcUf2UwxB6v9qv xaN1UA5Xry5YAufhdkXrjMLY1htrYFnTkN3+yGYcsMoms4nMFxN1M034+JC1kzGxuof7OyuTrO6U Au0ozQ2ESC0pF2YCYQvaxR5cNk8MdwrKKfgeMaAYQVRsTEtiq0vkFBbcg3HWUOW1Mh4jxhpJ3vST ABXsZc9a9mhppk2AaUzUR2lJ0P4w4fHHPiKX7H0HiaO+ECGo8K+1LHQ31fLA59rb6spkU1mjirlM S2KdG9EwlSIx7eznhLBRl0b/hgVDDTmZErdi0wE2N9DNCReUvQJ53hHxKpQH1n0NwTeSCou/xeId M31n9bCl1QNc6vMvXierQO8/asXsXulAunB28FVB7octkmJRO3wmL16hxpa5ptwIGnzgs8CtOea0 IhXQUWhF9WG1vgUYnXbkoZt4JsnWDwCwWMy79V7ml9ofsdgktkN87DUgYC5a6h2oheF0PIzvBEyv O3IO5kutVe91vdKzpJZp0aLIeJnB4RmvNFLyHJ166KKhesVeKgDE+41cXmsd9gJ4MJfQ1GOiRXp3 aAiu6Xwi797c0YLaHvYyadHFaMPgwf3ujsnWs8VELq6Rl7iVh/sHfgcRXU/P4rlIWNV8Sq4Dq8WV WfbqwpHjxx6Z+vzaak7XrdN9otuULV0tJR6np/zbLa9MMUkoYdpzdTon/kEw71CoEsTtGsIK0VWL kqKQZIX0tw+r94KlMnqE/f6+dJ4fe5xY+k8cDUibW8MZMODaklE1i0rzcHsB8vBQuZvV0QLjsFvL rbIMifmnqZGpkimdUaqaqSMZdHdYSzs1YqUJvtt3b7iRYOEkoLg1HAmETxaFU5+eRdz6A9MnsJh2 W5BJUblhyeRfXymnGB7/G4ZIk713253c3dxzTODGvHx9pYs2pdVYzlmoQuFcI89FS4GIQANJkesU AcwNEGKQI1Mo8lSAJoKkZjQhGFmitd5+Dq8r2V6/BTpC4hSZEmG6C3FKs7as7C5c/Z4tztwdNaa+ R8wG851AZwOxGfV1mIAYjHWdhiLb70hsxTq4eaONbFEfi5G/SHUZCHQFrXPjVtwHeFiofIHbmfco EogGu+rqt3N93S3e2Xwi6/teHu7WFNQoLZ2itibINTk/860I6vegWAB3Ug/EIQnwwMC18/EkPaOp WLIGEc7yGQbbHMrVw42DDZaEmPP87JK1YWE5QIbO5cpZZKHMQD/g+gu40IccpBR84rpWw+O512og SZEyo5MAi6eTyjhOPAJGnoQXLTDbgO64ho3lC5indJfEVE/cds4FyoiKLna4g6vNHRt/NoJI0k7u 3r0liH5xdS3jdiaHLRbdnqkn1JCMAGrJEQ1paxkakEtRSobRNREKncuXyIXzAoGgBShYj4WNz6UY lz0TaBUAeSfTljgVNOxyNLNIYQZMEwEwDYmy7zMJ1eJ07mmm62ShVUYJy3E3TFgzAwyDATGUXWOi E5b9jWQZEXszq0jD/1kgVt6xOhBYtZBdtpg8DSQKqzhGJwvQzKzc3l6/DwuZbtd8adhSw0YeTJiG UHToykHoENH0ShgavURoX0m+aLSrDVpVSWiBxh3MHiU/W9MSQDmzi5mM1pqjCDcRVirWsK47uJLb VN4G+ZNsAWeUC6wnEFm1rpkmS7cz7BmtvwVcSS36DYWjNEqxYB4pMg4mqAWmBF/nUZ0K5ogDlhHd 3qwy9QzUYGCjYRYaOJ0DneLASfoJR3CyPslBasowcHQGx2rAQvduNJRN5yhIAYDI0j8+TO6om0mP GZiXMxd2d1E3TrAgoN1QPwtAPEKz3ZGLHELo4vKaLedh2qN8Czu5VNpmC6a5lmdWkinMezKyq0oT eW0kxvux3N+gfZRaC1yQKDnCbjU5CgicA9gQ6ldt4WIgZ3E6lvFsYu6yEWSDi6zPZcBojJnQLDe3 0sPZMU3knKUSWe/2ObjrilWhLI1iKwBiR6hrHuajdA31uiwdHLhyqbty6rzivfs0+kcmdpoXZ37n JrjluvD27857z7hZDvObwkKuZjuW8XTCiqQQJhA+pSpLgbw0FlHCJyJsosx4QxK4tzr+OC/K0KDo XibpwtWraLn3Gy29o1aURgmdSd536NKEOmDCOmJcUywQqXjqdKrFJ4n9VlB0ELgKvlf1WGSzlxVS pFgrHlSdlpSQ7qDRRdwH1hWebQpi7MQUSJjEtFViQcNe900qemgY5X6DtndeDcMi74gwr9GDkrs8 c5R+xJEckE9scqWmF24ZDtxrHA0rJlrVgmFY9jGkPrpQp5ZV+lTOuSpcmtyIgqk2+6M03TiVpvVP TSeLpNnhq7fX2mdut0F4HgtFy8KwZVcqXYJIitZ1Z3KzWRixgzIwr0OLcjMP+DS1HsqvTOlmOLMe bHXlPmHi8RO1pJTA6Ox65c942d9qaBmx12FO38lWm1mWIUfBrU//2zGS1DiCTH6tcgFBw1SnVPVC 922OMOqC1dLSfh+wPDQSm6K0caFYZUvli1m992AFuBV8jrYQhZWvsYSLxjWTrC5YGtphB2ONfon7 dwe5fXNH1wbdf5BbmBjmYT1lN1qtcAaJECmLVr1RDpxImirbJuwHvXFHImTQ67rBfDKxW46yuNQS NhRqgCcqBHIOUu2wDjH/7IyXKsiCBhsVLtYaFFvTqHVHV5HkV0sbOmbuHqw2Wnp3B35GsVhTDvif F5Qk1cIs4NQejKtCjrte9ijdtD2wMQnWLf4xcRzP3zvI8+GHbb8/hqwqrknBbD/9uu6intAaODgo PpceMraKjSzdED30KzlQGKOJrh2CO5ksXiunC1Bdq5RaLW8Ayu1MrSt0/CXADDIo6l+hxLFG5FC9 ga5gSGMgQIo8PYN8aSmY9nK/f9QiDQnacyPzCvmIIL1a1I0YDaqVHvk+BgRNH5xUyWfzaI4XV0NU NZQt8aMoTTIoWKZtYnMlA4+GKREXi9PLiaj7xxmB5jwctByusdy1BnimOkAIrFZrmTGsr8ft3Y1c X1+e3N/wcC3v4DysTnr9LrhcKJ6gfOdCPFlRJQ4T8hKtVT0JupaJ0E61dyEs50mlXaixQkurLV9f WedlBYuh9QdMp5mae59IzyrskHFJcJkCwmuTHWmZQ9iwbj7dZFilcAkrJtV7lVPtMK07SPlzuUwC rqHKJo9TDEghUOCCQOv5a9FLtKfDayBO41rOPYNQQwlwMP+bdiSLS9CI9LlX9yh5DR5ay/dBscF3 YbEpNjmS0X6kmu1HHGpDfrrDxyEeyUjyz7jAHAqsdAY3FWyh5KhHBqk5+Y6g21ljaH54Ez5riQHh 2giDaua9WinGBEZeGSpgrh+IrQCH2u23nDgQ6shqn6L+uWrZ3C5Jz0uyqZEbU4MDYzurkocFBqb1 jPhJcsPgCjG0rhgBmPPMX8QiTgCoCeJUrcC7rwwmI1ochvlFoN0lWLZOeiZuY0OzjyK7B1k7KZaI QT7kgWkx3pVmNNXwfBlNE+Isb9/ckukNF+cPf/hOLi7+itkI53ATavWjuhFONQHNhIKLJXNSiVEN yFg7dwYz4OqEZ3Uc0MdAuWuaVA8BpUIFDVudbCm0LDCXyBJAY9hmhBpnXjrGOhulhRgUofYKC8z6 HDBiv7/UKNU2gpX86XtY4doA1seDFn56TJ1/DQ7p+mQOqGN53rCCBQPwJe1OHeEPjWMZhhgEpo9L jBr3jd4g3ETkhPIcIQrLNd2oEsUegEJdr1bsIISgAwQZ+x0cXCGrO8+xALj/Y+wjQzIKryzaLs88 0jAMdJpCEecFVvwZYDwdB+fR+KvO9chSJuIKAYQ9s/ALyyo8qhIXM5fLFy3cOffHUz4U3TDtBoxq CygWp40NLFGWk+ELJMV+iweOAsHvmf0D7fwkQ6IBJzoym8vg307WTy2mbZXprJaHbryUF2iRNxyj 0azAfPwDyV0JAp+WmVVdjW4WI1ygNLBsBISUWYysGVbLmtYoXA7f+Fkw6t7wZ+3kt7/9LTfZcrkk ZqTuqd1Z+s6gqw5blnnTVW3SiiwDr6Dq0pcCqEb6y1radmpRpZ6J5QCBp9OQMWBUEbqZTH0CFqRJ 4trUFC6ZJllj8yEvEkILQsDKiYVIVwlZuJsX3WGuYYMAnGgbOXBhEDQgZNVqGSX3NZXWujZbTXii lcTx7QEhr8qqJM+6haprRS13L4/jNB9cEhFFdz4Y4aaithQ2w6PItmd3JQX8oTw0Ab5iDwC40Gqt jURbGpQdp7nGfoRLx1pZAY+Oo+/exXPOGT8XUdVETRx+3v7z2LmbiD+lkHtC64PKCDfw5K0Ge04N tnC7piVTK3Vu0lHqaV31SvZj/SvUIEdtbcvDQ1cZhKFHDdppWV34YSPLJKiSM8vD/X9sNPQzBBjP 89rCTbcdhI0XTfPVSUuD6S0WrbNFvn54UKa1Afx5GMoEcZ0ktfqcLc90FbdmsaG5O7GwUemibK0e nzE3yxgUWnSlM6qY1I1nQPlgBdCz7op4WjF2cVrdxU6JwXlcPb8Nlu7bt39IKS9oi3X98GM1nAAA IABJREFU4pJBDheEuXwPgGZU5zILhDmhGuWjdQfBgMT22Vju361ldNSSQwwUpDIvIXoYrC2f7URQ LSpd5BQlVcyxjozRNSwTgLhY8hLy9XwNxZ3m1UIZoaW1qfXfvJyNKzcvIpPoPtkP8ZWUbgfKWEmt XvxRk8+96utkippfeh+IeCIlzUsO5fmMa1Bne0BOetbh6zyB3xkVKpbL+/IOo9vnjpoqbPlRB3MJ fey8JpSf/BFUIv/9iOuXPu241mDjmQjImf6GWzlaQZcCjQzYqgng71jWvXGtAJQ+gcNk29DTR1x7 QkNtzbUbfH+gQUpN4L3hcvIsfiJyqRaWmvCgXAALg0AiNoPWXVZ8jkRQ5rdhw+pmQMpNXEVspgpN a/WrvMKCUyU80OXVD4almXU+dPHPZ1P50z/7im6WNhnV+mF5jHyz5odPG/VkHPNCVRjACMOmZN68 eatBiek0dcR2fpd+3OxLFjQEDlcn4qdXZEUZHiZEj2E5GzUxCea8qPLthh2UhHZ2C8uiS3YdgzsS eJ1cNGu1RYxS/04WPysGeEutXnq6xort4fCooQtF8s5MaMYONxyLFICJVS2GtdZiIqsTiX1ejRsJ Vx3Qwd4pQSUckrhbdqhL+NMOLx+TXF2fgkfKzhSHVV1IeNgjltVzD1ZrSBLQiu7nbi9ZiKQs85BP eO7m9McwYmgYVfpMsLKs6ahqMC3UBvfKTW7kNYLmgMz8dI1HZiC6nb7Z04LwSqdj1/7ZGiyeJ8QI KByY8qBjQqzHEr4BGuM8YFJDu2436G2nyacZAEe0RiN92MxI5QETnzwobmhb1KE1/MQ4Nm7x5ooL TtRUgUUqii1mJ2eqpQLLVJu6ZoJq6aJHwzmtc68t5jhiGDdew4VASsvR3omvXr1gXz8IaVAIFsv5 ADKwFWFWjo69VgpVy3lP7h//7mvWoYdb5J2tfc2dRLBPTOsyIJD5cHncKFQQVfTUmiRQLXnbuykb A50CyKxAWGbegAOfJ5XGlUAqAQToYqfWY8LrssXO0k1WejN1SD+XwmP3jYyDJOgSz0P0+i3qiaHS RXaBz21K7t1K6TA/5YjKPGJa/vyPHc7RZh/EnyCo/MhIoS1CyA1G05mcrNEQ3Vy6CErj8jx+5YIj EyFt4ad8uBxi9s4jGl1R9nM6V60La/WAqguNRlCKbsN53FTxZg3l1kbWYFr3O7k1abzL5gB+5Aqi qL4LfMHKi+x3FDwQfHhztlwycgdwWzkySBzXvncQVlpZ1EEm7UTDOl1cScobA3sad+v5m+ouR7wL QtNcRLsPvKbkR+RbAnjNOFXRLdkEGq3ZQS2seHiOmhIT4ztetEUB5IgXzedadvry6kIL7NWgowCX zHXU/Rl0fpUgmsYazV3vVjJfzqSdIILYyf27+xDECQZHmK/0l8+1s7+s4oW/F6+NMfUIpZevppBO 5Wdow7DiAd391NDXar+bRwBF0U6gENqybJJdzKt35NLKtp5SMcoswOhGBssoKfxUsTQ3qeA5OgtA 1DWjggh4NFRe6hoyqBFKbXML/YgapAkQP/P6B7uWP9W8GxxUEb6hvaKm4yyJD+T8HF8kZ3zBDL5n DCBZG8m3eMI6spQXj3alfDXLUh9bRPDcMTSr3W0C/pGWuVEmoqZ/7D6iJna6Ai0vC7WzkzHJf9tc ZQyDCRfBNoMD1VrrSJWBb1i9Lz1AWQBLgdYV679mrpYq4JyrqUJHy+eggQNqm5P2QQtL61l5sTp9 aI+U+rPxxTB95RgMkQ4VjCUw75sBB651eXlRYDxJ0AzOrNfPxEZ3eWFhLa/QB1CbXSyW2mYMUdyE maQbHvgj6a9cVdWpK/EO1PLVOcWrOk65iW4SECaAdM0pQVODJt6lBwpU07/8Wk49oXWF5iaW6pSY +F7WWh0IegoaNfXCgNb/JpXr0efNwi4LVRxu/d3d3fNe0LQWAguC9voKeZ/ZY9KADeIKHyhmzlhD jwmxDzjlRzmsgF+2SmgKs1bTXgeUUblTNEsLbXpKSgYOi58uAAaSNlo0CsCWrc85Z6k6gIaUtY47 WnU9IbIL+oJahorNqZmfrmE3lFqD22byvaGL07LoEbU0YYPvoJkFhA/GBxFCZ9nrojzCq5FRrWRW lVT6PEgX6RqvP64aFwsA7HUcU3BmQvedFGkCuL3daNUK4hcgG5owBOt6NjeNHzox09V2y7U6mYty Js4lYsegwdC1Lz87jDRG7DIrnxBhDi4OI16hzRWBZ7qCRvh1K8MeILl7SHeiAMgNRt361/NYAUJb m2r16HjVdeyPqGtFcxjzuGsCuAYBtEqICiRPBcrjoQ0scN3MF5zoHFFgaVFxFKfEBXLwQ1OLtBWd uoqqS6Ky14WjrmSuftKZ5Yf9hyKFrojbsRYbgLsdvZ0xGhzXnWyobJ9n7lA/R6A8vJ680gHO+d5z fiSh5aEyq0OlpWVRP4qlgxL/RV0Lj2x4UTbIbqZCpD5+pSuY7tSO002B7yhPx62OqDfxOxY1SHWL KwiKoa8/6Cto9d19g8SyJzFc7ZaKLY9gPXiTTEu9Ca6Gv+bF3LBQScsAHmUVIyG4GIFMjVKzSRJr gLPIHDlEvUytuam7ELRqTOsjYqQlih9ocTC1Y7/VUDY5PHAF1K3U79i9Wv6nt7oPjnhp4SRrOJbT yUKgzAPNwskVTKZU2OeI8Z0a0cm9ccVkFiQsRYD1Oq/eiScD9e7SDpe6C6JkWdsFMQ8Zf/N71/MR sCZAHk7iWzhtUMWG8KsKNxUWOF+sxc8xx6dJ4DXel0WdnZKjFrVWBvX1SPKoSkYWGERQCWTgHN2L CFx27Wi1u4Kvc9WNr7/+muOHtfjqlXbqjmOOY4qSTPVBNqiBz1b2zztSTXVfwv77IDHah/99QPpQ uIVpC8GU9ws1Ky+TNyE74/hiTXlMuQQwvOIEkFtjS9fSxWiFWGYZeyoxsJxQnReru0E493q1sXZO YbGdOVyoKGhqLZtsJDhYqa65JfcWHZx1E9Gycu4TW7RrsTYHj+PGxXlRomSzWctsvmCeI62FYrtm kFVdhgMtR4BEDNnTTdFIIjYIKpYCG2G3Y+sVudvvLDEYNAIwnre4snRsFYbIqYX8Q1VWnAvlb17/ ElU9VStnoF25RUp2LFuMaZVT1PlCtC9PC1wPV1qKDUXuk41xyIFMkaCwKEEnwf2jE7ePNTrfjJB8 nPhvMXpnyyjACdFljfiUzwkT3y2qqmsod9IpD1Vmaf7thGp4647UJG9817MxLFBgz68VGpwRpcn3 EFbIX8Tfk/FEGf09qjegjLe20WPFVXzG25CldR/XccCVaWkahtUr1IH5gWv5d3/3t5aGBQx1fWLx +vhcNUfZdntZH7yp7PsPLtOwW3nnviYGznmKAj4hbbiO7DO6/8r30zy/x/W0Nl9ZAzpu4RpJhZWF UAMj3DGA3KgyWwguPn3heEKql1vJT20r266RFk+yfdACDImjCHv7g5dEwWz+pkdPn3PN7kLX31dh pddz4YONyuhNUerWIkzpnhSM0AoM+pwQJs4QT92AnOHtDRiqSr795lv57rvv5PL6Sl5cXdH9g4C6 vbtje3iA+N99+538zd/+jdVYylbOdD4nJQLYzmyxkMl0okRDYD2h8KELZrfQQDRUTtRATQRwt8D/ zNUA2xrYEhQY0zzADbJVl+aYwQILBpgySGvAlYSNH8YABQFBK0HJZXdpEA1cLpBXqILOgwaOC6V7 s8J8bu16JNixo8xgz06Pl3zx+fZO3smlDfw4dXtzgw+k7qQ1abW8mMhceb8B3Q+pImky0VTR4bsg PWMfTaYLux8A7Bo5xuvz6czu+9y2DNahrceEEYo2osB6u7u9Y1UJBD8+++xlamDic5s3WohHfeDh xh+yApLFdeYz/XOF4GMYdr7VJNj4HIPPNVqPSnk92FgYiHGticYpXJo0n9VQsroqKuC84aoXeLNa RRa2xU2Cve30NbVgQocS8pqsDjty1kxFoyY7Lj5dtMw6V1ay++lZSJVmcHRzhh2K8zH8bo5o5QXk AqmgHVCoq/D170K4MEBhgK4PP/K4DshDg4ZkB+oH+fb3X8t33/yeWlE5Wr28eXsjlxcXpARAoP3m v/yG1gjbUwEzQ0dr1i2fyRgZ2tRoOa/RZzuy5rHIUbDu7XfvtFHDKPN3oNog7KIL4i48c9Y2e0bs ZssJVyg4Ug5Iq6BBr8WNdHuR7W7Lrjfz5YTVWNPzFyx0taZgSULQ+gqEMMQ9giSKGOnly4swBxnL UdfOiZ+lwsqWhNJxtDGrWpSlwe8FJDO3SccxlK4ONd2Ufa+Wkya3a8Q8Y15macfNZh2sJxNjustG jjtgZ1CG2k8T1jJK0MznC2XID3tQ+lqMHovNjRcSrK0LFOZ1sVjI1fWlucI5i0SbeWTM1pVyrjb2 4cdTWJaOpf78GNSFoWBziwuP0bAcirlIGmoHGBqJczxFEtE+wZ70y64oFsnTTxppsLwFfWhDT7PJ b2kNFqYvTHT/GiW7Ruwca4mR4Mcf+vTNoTU2xGbOfd/vOW5wVvlE41KA7tZ6DJaZW5C0bmzBtL12 9Hn18qW8/K//lQuXjPCrKz7Tzc271LH4L/7iP5HbhA7L7JEoFaurzhbLFOHU8cmCKj2X310aHFi2 B2sWGy2fbAkd9yhBsqWl4+kjiNjBcuMz7HayZ9v4BcsQv/3+nYbOG5HFxUwumrk83K/l4W7LKp7O ncrzrT/RCBfuEeqsR8wQOW/Xr5eyftjJw81KFldzzV5IFoXnsyYtkl1VuhFee18tMNb1T3iaQxdh oNIKBe8ql8xxy9EuYlFX3d6ABSDEFZLwRpu6/rUtmQoyzVnM9gfA7xYNhfd7WXmdLpTVQfcn4w2d rLsCdoh8s1zhtUNQwJUkSyKBHAyjYSR96jfgxF3FZA8oQIhSTWyw9uMOt67STjhT5O9jCq14pAIV wGU9OkYNYv6wJNDRqkUGIcLwMDWYCRuLwuHOM4fKQ8xGSAzCxaMcUXhgg4j3xkN95igwROTy+kI2 91vWL0LPQccXhkImpUNYxCxe49R1zNHAnPulV8wgrQUSTFNp9BTcLO2N2BgGFJsQOPAMg7Nlhxet J75cXrIVF875J19+mRbrr371q7QU6P0ACxnPaJXudltabmMsOtS5H2ntL1dxUcNnd8xfgwDV6Gpt TUU8gRv/vbtdcWVBaMyRfGzWbYkJoRjeRN58d0OO0uWLZWpg627/fDmX3QZdbNZyPIwotBwXdMWG aKp3606rKJX8rSjsUHkgBQ184lPQwwmsGUTnvbqwCvmdKjNsPC0Q4xZUwjk96JKgAr1ft6C0+KMF Q4wu4gOD31lRwyqeerVWWMWO87oriWJ9bPU2naRKJHThg9LI1Ii0goo1qjI6W0edcc2QA8u8W7e8 6oYVTxSy0NSnlBGB8smdSIuKFIN6Bz/2cOzqjyW0/JqNl11lrpxFmgg6I+HSBINvBGd+s8yGLRS6 GVZu190mJdjlNvYRS0o5ncV7tvBGiIIdchcdW1hOZ9g97GW8a9niy5MzI7amk3cqyIaHakcNZ2ka ieMbuXKoaie1+npk+dlmV8Z9XrzeKmprz+2bfmzJyzWIlIw26ZDzPBB0oTsKn8LBFFQ1YMqHlslZ XlzSioPwwvmVoKmlSVRuZfdrOLvL64U83KNK66Jwn1DuGW7EeN4yAVf5Wgg46DP5uSiwUG6472hR aTcbTznJgQgUN+y6lg06OKa8Nysnk2gJJsSiUDVrgHQGKxjo8+OWoC+QaAEVFqYZvto5+ph4cMSi WJUBlTl8PYXqDQk+8HHPa0npC34vZfYHlJH23gxWT+ZxpPtyuoHSUbRENLtGM6nbiiMaRhkx0xj5 1HLZmuuIJkK1lW+mi2oWsfdlrPlclhdpLqLPJWyrl43iwN8fztGU3n+k7s6D1wt42D/rkcPSKP4o R+MbdGeCIhdtUzzBL81cOOvwzARdC0tro8zQu83LBPs5zl425nvp+RMg6nWQfDSQp7fa8t/Vi2Wu zuiRE1ZXzItQtctp6lAE6PdI/UBqQy+ycYwAAClbfeXOJGjttTOqBJYm2r+nciHW/PQeVgpJn+yp EszmLEjg5iUXZ1ANVOuKOWFEv+UumZYyDkLCtLfb5ClEMRDcfiAz4O33AN61WB0M3+1mL5v1no0Z NNPfG8hqtxnvjahuBeriH+UCrpoPeRp7F4Bq1frGOa617DBIwF2PctVIClaLxePj/jxuWaCJBq1d 4EXEaFRBpBzTQJtIYiHyv7w5A19Wcicjat5XkMImnOcEgM7PrMoTv7uFqJ2ZXIEiy8ExI0+34aet TpYmyOvWZp21lAytOB6KC7I1nrnLeX2WkcLo5g/XcAWDIgT7/NlIr2HpHw9ZsecOSzJBbI3QseEM /PGc49w3qicwrRghfh/l4UOOhkXarCQuzFu1tFD/WzcKFhw0J/AQaAv45khFQU6cuk0ZmD4BEBMg GXCj9ITxYbKGSbFs23yooY46Qdg0IzZMzRYUBWRiKpepQEN3yT/P50X5XGABSCUxjcWKnhBgbEGW Q68zmvDqMu8gK7ARgpafQcvBLbS6TAVGFsYC2o4daggM53revC/7jzeM8NC2bqxettY8Ap1h/PPM WUNjV0TyxuMT19epGpcvFrJZoSb9VmuUtyMC6uzwYzWt8EGmEDkxMT1frk56WrMyv89+f2SDq4WI 3oPI7SaJ0ixQEmk9Amj40qgXub2553MkC86EXw6e2NUG3ZWHnCOtSW/uuRVj5HJKZOHh9o/P4+Ot /Rh7Y+T7uV0gOH/N17wGnHJtME+h0rE3S89ySYl77nYy+V/EvWuXZEeSHBb5ftS7u9F4z84Odlck h8tdHYoiRUlH/OX6KFIklzqSlqKWs9zZwQwawAD9qldWvnXMzC3Cb1YBjQZ6qHsG01WVmTfvjRvh 4W5ubj6bV8NqTyiHhzUZXXFaOQMdUL6XxoFaXaHphvwmMTX5fJyRLH7GJqyoBHWFP+r4Dr4V/kZE LoWHisbayL7LYyhFziaWRtliupgq5MTuS/CY7dubNvqhG+uL1wCH7k91NzQRJMGBCQnDE4zckNdw CIm/oFkqSJP4Hc0fjlLL8s5krYsUWbBGiUjJs46hkgdIhb+C3BtVEQz+01NRE4Sq4lmzgzFY9BK8 Rce91utIDUqTXE8+ARYTd2EampjINcXePptBa01qUUI8AVjbtlmyNGg4OLq3AG1wMXFBa6Csr8UM I1Rwg1suMFYSqDibki/WqmJzD/V9FP7Uwih4C5b+EcUBevjQ4UfpyYYLxPWXAKb7/Um7fiQTrhZl vbph2EgDGiocFXdJ9qRlRFMRcCfLq3PKM3VmLWUSibtu03RM/QMbUiZoo+qlyysx8G0vqaM8a0PG EDGatQZhOTfDHcLj26FD+YTYpM7XNb513647rbOFWVm1lx6wfswbuJIIIhTLA8+ZzD7bfo0hp6xe 5291+Mnnc+bjnjdY/jDH0PG5dkg0cwTOACXJu5C1HdfyE8fP9YKqV5Ur/OP1uGJaXbB/V8sArJFW bxPfBpDZjKjfE2UitMmRwWIZC7SFYjLVrIyxkZYYkDcUmlMebDOgyeANHSrD1skVc7paJNO2uIyb 0KgR80s+R4UvUiib5lY+2kSXkRZupNDuvpfeBhoUj9qTLq6Baq1k2gd7ubrlXbkV6t7X0Dvb0NhU SOgD90gvUjLYNXWxePGMtHENxQRHPeMWvDBcl7T5YYznRzNSI9DwAFr58qiEcVpjHwXeIvdKyncy QfgYighJfC7fVPYe8300HlkagOwNGo/MHkvFWtMY12eTv7PL4cPcPPSGNPWbjEz1QHJDETSDWC2k 0sEN3wmh7n3Gt3ZCKV1Hw/lK2tSyB+aDoESVsGlOhOfluLcrMxisH2lNDsmeP7UVWF4vD+Fjpfk7 dUyIYfntTg9zssZgUO6FLbLyMJp8l05bw0K9w+4tMZEgWFpGVtyrROQL8NHn2q62ZRW8neOzWc1g 0aCFV7DbYfcCoDoKJriASGeM6JHUHoGlbMMjogCYS4hoFNWyqS4G3weBeWUERX5Eyli1gGQtB8bU 6iAPdv1qx/Ji0/1xt8a1Jn6bgVoDAi1cPBCT831AoQHPhSGru+4kE1u90AOv1B5xXpDgvYS3hAUt 0Tixux0vKytsw4VC5bEAZ6bUlWqnNsBuxZ/Rfcg1cLjWRjQWiA+P9+zkuHbVPtzsMh7Zmdlpx8ye rL1rj1l9FjWLFh5ReIR15saK6BrD6Jgdxs16WIRDDrz7tgJsTOCpSpefvQHYfVx1jPawGyTgEN6T JRmmGsK64Umbmy5cMCWo4sBxbw+xrZQIKuVksC13m1VZFsllv81hCDMfLtx/W5yKNIlkpb7r4wpt 23GQ46xBlR6QGcRY2GqDwNeNMRjrOIyprcYonyQWWGAY90lUOitSsvCmoOuNDN78CGFgXw0pw5Dw +6Kwt82b5E0FfmBA1K+XKDIGHtXAaV+n2Mf6e3BvBkMaJXRSwXWjy0srDdK4QEq4PaU0iTP2cIC1 eFGa3CicRZhW9YpqmNP052XMd131zdRVpe1PlvFxzV9MeIbES56PHWseIF+6Qw+ykMpmiczrcRXf TrMHY0OPCffgMKQ/KCt4VxDiC0kdeBfUzQrPwt3AAfyjM44xq4w/dnwCRz4x7gqR/VJTGq1ja2ij 82xaiy/XF9bZ3jCDCtxnPMv1fI7XtAd3NyAx6u97fNyQEK0A6wUdBW3o4v65yYUeWMsOV61frb86 DCls3bfxwfOQJlZXnLHNtXaPNoJ4fvP+tjwaLMvrXSk3u+8Xw3zoyDPuJx1vIeSXKstAa2jCfJiI 5MxE+YDc962aIXDCRkp1Z22mxsdpoGHbpTpj0eKzg5tOC40RSr+MJv0yPZqo+UG8LPpFM0K9IXaI VpXvXbTdpGRb/K900fOF5DrG9gQ0XWIR03uLfofJHvG70qLPR3fHPrx5j4ubfus6POn9eRto27DK A4M3YyWJMDJtiwlnKJT9e/WaxdUx8zlnyqo3xteVVXMGj94wQ2PhjDBIJBnTU0I9G8iUDqFlSNlg FE8JWuXUcN+WzUpANLKNQ/aZXLOGECC7gWePi+GFusjSAtUU9Sw/nO3tPQLOu8Xu99GVoME4w3fg odW5UTOLLQxt8zuIqVa7iM8TP4Lqd8jR0BMlxipj6sYVpDN0yvoSzBCVPtW7/o76v+EQfRShCtGw vDqHOpnoNp7D3r7M+5uy3A/KzVsUQx9eaRbk87DkR/IQ3SEfDvN+qNHy22iaqwYQM0axo8ZoWv4D DUtrpX0USCMzZhZ158wusagX1wUA799RUjXtb9n8wZPOIUs9vRcrPa9sRBqGQ9mWdE1sPMrF1Q2L nCDogbodhsLfaVKgC1RzBufwNu4N7r0wsE16kVS1iCVjknrOeTFUrEVNIHzZVKx0B5u0u3Mx1KxV C4fqzoqGGpVwmi9Hmb3OooRHRK9ACQam40NHXN2GJP+82S6lDZXwNUWA4fHQg0QnIJX+k/e2U0IH tAf26Tt4pgaTD3fxuhDTXEl+a+dBtEXrMq7gxqXX5OUAr1V1gjfMCn2FAdcaSHPQ4boLkasKSNsE tJjdFUdea/Wgg7bjjUMGNpeDVXPaNtEYl5qtLG2ea55qo3AnpcPi+w4UcIDx/Rh6g6/zUEPjcHvG yH2fyqkD8Lf11IZqRCkyKLGIEOIHs1p8k6AvBI2BIViSbO0YqwPwWIPbQkXf7MOmVROB5QbzSSXe 6RW9t2bUIoMX+3HL+IRHtY4HDbDZZUcHXxXOWRD0HsiaKNvy3QPXLuUQcyrl2y+/4XlhJIDluKic wm4r8KDUcXh+MucHMLYosVBmLiZwRxWhpMLsNoj2EhB6yeOtAFAd91evUU84ZkszEgydxQ0sxMai ZZvavVDIEeUn0Htaofs1FEZlGK11DnsAo9frbRUubvAZGARkhFH8OyZR1hvQAJI6+FvF47ogckRH tS9h3exq0XF0lElOlh+vPUyHyvoO87Cc6FBIpvFsyZg8cYm9eZ7Gf40Y3TakWlNoECeynPSuos4U f7ZNjBVTDTzGLaksp8nZbsgcuzY4JcL9bQhCoqZzraYlndpBQx5NI8yy0XjbUJIsdhvL2xz4CKg8 LEBIhfc5buDQfw8on+CrtzrU5qtW4Lc6KhguTWK5s1XIXyNSVQhw4Sw87Sh82pIfWOH2xJuvk2cb 6RAKfagVZKavz2ZoAw/CHlEsPpUpgIfSY/eZCWkOAk9pYP0dnKhOR1sYrXlWcTF1UDsPKntPCbc4 tIdff/E1s2RY0MAZpGvVvNgl6vc2m3Jyfsq/z45m5f2P3lM4RvzHRMU63PIUkm6VjRjvnRijjEdn Uuz35T/9p/+3HB0fsXsOFBOO5lD3RCixLqdnZ+X8/CyplFpIrtbA8K/YzFbb2zIYHEcIG6UrNcTE IoVBxv1BvhcUEmUO0dmFDUlBrIXQHFS5U7YtXW38fxcH9N9yEuf+ZpdFCLs8JSu+to/Ys06MfkcD lXQs3SkbSLHRmwZ8844aFOLvtrcswi/GRNUQ/D0ZK0cm7hmQpt2DYVKdd33Na0M2xERj3UA80k7E fROUPUFtfgMIP2Pu9N8OgMeZWGmSZGcO4ceDr3zgft4eqMfBpBnCjHyDLJx08WgOZ2KXkpb4kkZt NA6cQxKkDyzgg6HzTaSNBId2h2ZkHOtX3CTrLyW74l11hbo7NnkYld5gWFh5E3Rgb1Lih5XSD6Il eGZuoQQvhy2bEq/F26KNRzfC8y4eOFq6xdPzU9bYXb66pLs+m4lDBrkXLOKjk6NK4VCvPiky2COw 8W+LtzHiuxcSCY3gHzF0CwxIk7eUL7/8qlw8uij/8a//I43UxcU5nxukbX7x2S9owCpom0um4txs NBtM7opVhqSL28UDJ5NBls4XDBazYcMBJWjEO2tZwhyS1GRNLHQjOdWohVqs3/9s3juJAAAgAElE QVRdhzfcQCDb4ie/ML2eFUOz4oPHOrSMaUxqvwFnGZugo8jVkUgAd5EdkVI9bUyT1nr+wItCM1ly 3PB9AOGjXKeTOnvIMPdbZjqMBnXsoP4BJ9eRT7q/Bu9YFkgss2kfiZUflzH0HPm+2sEfE/K96Ria 6awJmbhMAN5JGzDRre0eeDgIGd3JtxHg4kLTz9m3blmg2MBTf72aYYk6O3ZT2aCRQzCJq5seU7KW cEvOBm44QUVmT4QNKS3vllTazXTdIqXSgG1UYtRbr8u2epUN6MbDbt5eSr3nW0sPCO/7+Ocf85fj s2MtEnwPaQzhKMbCgucBw0UyIb4rvp+cHzPOzQnLHKtqWJqn5YQD7gXP6eZmwbH69Geflo8//pha VJjY8zk001Eysy3TyTTpRmHStS4tAtedOgebWk03HD5qgdvNSEAvqgcGII+Kw6WMmFq8V2NlPbKU YdY88CbUiJlNHjhClzqdMtuohcgq22rG120IKxbVnl6NhlrWOQxVeFDw9MGBy7QVbaIR4keXHYgq AloBMVQZZmFkyJbqffauZLwqRBEt05QUUZh9iDPVVcRb3Ndqiqpqm9YOsrvUSYvuTjXUj7lW5wsL oXfMGN6WbZG4c3nnRuvHIWTffwxBClVBrRQ67SEx21GrGpz+F1tdvQKHka4GN0Uub86iVHc/hS4V oLT/fe9ikOqeUs4D5SiA9qcz0CGAqWGiqG0WOS1k8zaPAPVZxtr8xSJGhjHGNwPwHanBAIwc3gNN 9GaMA3/Yk+Osz0Q/cxrx4KchXb3c9QgqAjvAz+i6ix0L30TPgnWXpk9E2UZun87NXN8peZlZpU7U bF7i6Sglb+Pl8KCBtBXoJVdqU7744hk/98t/9Es+q3/1r/4XXteh4mRHh8ObRn2PgXh1+2lYYMZU HILoNZRwaVGH4YkwtiIlvfS5mA6WKrItYnjrzGXluSWQvs4vly9Zg8rzryUSUIpyP/TIdayyBvXe Y0wqXSHPZSYpJMRHDt4WwoTodr0lvufORbgG0EeYVKmGyPttKneqMIS05DfxXnnaXSdA0tUlMLFU DhRWAtcDMT/dR8Ikk9Gv2GQpLDNjD4Lybo8f4lX9lO8cigskEI8ny2YyfnRHEISO8LjGc8ll+CFQ oD8yIl1cwrdQaXX3L97ud8hioEQD0i0Ib65fLVioezweUxHg9kattEpZl94KHomKg1264pbymnhu otrCLDxt7nq7bbmDC9+Rkw0+ER3Nfu3oKw5SkwSBlbjd9srXS4SpWxY9X25GZd5flQ+mqD3cq1MJ rsVlHkmuuUmLiH+FiW1NLS207GE0bMSLvnWx8bNpShr2EtibcCrvyV2YDyl31YPZbugdcMMh/8e0 i8CvQogRxFsvYoY64Q2ApnAIOot0OuJ9VcOcMam45hoGBjjcSJkK0/09lRcYxsg0jRwiNrXNbllO HXd7bx3HuOnI13AyPGCW1ESZksZZxsHjJD6ZZIln83nQPvS9UPRoMELzmqpuf5r7LeEh3huVTjL0 UcPEZoi96VgWSWojwgi5MZKUfbAxRZKD6rjAeMumrLfLcrPG/FDG1OMAaGezvOPcGKHpinso6kQH yxvXitV2//guiRl5zuVHHUNgGRxMT3qq/fXphVDDCF1zgqns8hxqfFNFcVWGqMrD5+hhBXcl3VfN 5akXZdxkvBIT3QsTxsoeBOrCjs9n1GLazrelNx6W6WTOsAW72t1iwQUxnR9FZs17eGv0ifvQolIW FB4bsQarRoaBaxNA4csA+kFhbMzklmGAN9Uvr9YyHp8elXKz3pUVRf775QaZsIIuJQA03U04p5o9 6Vpz1E6yIzdOfQjFNBgchFfJnYRHHBLNNPqjUfnjP/4jVemnZEKHOuEEwPKOz4+VCLUaoSuaZ9zK fRe9YMm12rZsMsNySviKaGvPAktEBEc7V6ElEPchja1QCs1decL7okYbsToRTe+WEAS07pOu7eLR 2QEPKCVzwgttPze+Ux3/tNmKpW4pl7aZa//SfaLTN/4dQ3kBIRexUBkNlxnZNNba2pS9bZuRh1ky SiqQ13NTAZkRTGdLvTGFXpd7QEJ/bSwiKf4bDPb34QKcm+9Fwf6ubBbX5dsvfldOnnzADRpKEviW 4eyoPP/Nr8ri6mV59OHPyhg6/FEzWWtNeZ5h6UMCegxOXQsPydH6Dk8qIXQ/6hiyEzJxCvfyk1qo anZcMBsSGeEOa63jQfYlqO+dODHba+W6JwtllSPzUsME77Tq8rxnm/KYZ7FYlYHULUJbnHEYJVtQ SIqGpBkkPyzJSO2cwuPabSVlAoyGLZrCMBj0p7eWtDukV66fYay+WkX3kf2mvFohUwOhPlz7sPx+ PSovV6tyPtqVi5Gkapqx0I1amdLtoWybulhOGJZUrqQmO824GxC2lleeDNpMQSFQ/Z6zszmZoI1U 7ctQZWCvT+tKelbEPkibkGyKJIXUjl74C3hqLdsmTav7OuU2gAD9faFu/FnJvslwKAsWRfHRa5EU i2hQC1AfHbdxToDNVzeX5SJl3jItIxuu/CwCEqrena+zeT1aB+6iVHGrYa8s7m4YcUjqWOU6ahUW /RBSNs5ZRq6t7MVkUlW969Doj82EyiL2wEi16wVmK6nrlqWNv2HTD6MHvpvHT9Uh4CZCt00bObzY m9fPy9/8u/+tXDz9oKC898WL5+X47KIcP36/LK6voBFQ/p9/87/y+aPhivDWEY00eYrjaTn75E/K 0z/5xxrvMFrU44wl7yNrIZj+8GMM15AhFXYuuvuSlWlxe+gXJWa1u9KwhAXpbjZbkCImgdmYkR2s JBmUujDl78fL2i3bog0Vg16vPHrvvDz/6mU5f4rmBdqVh4Nx6Y+QmpUYf13kJn6CD+TrD9DTTSFY M4cMVzS3kCclxnXrG+dr1VTCg7jZ9srVupQn410Z9hZlte+V85HKHR4jS7bbllfrwv5vJ0NgWk0R wJNK4ZIWwGBvg9WV6GXCAZLCoT3GEMTjlLyAKutzcBx6U3URHuA+Pg8VTONvyLLe3dxWRQdJAEuk UTVx8hyY8UPYsEWjijGlf+9x3fzc4zrYCSiNr70pe0h6q6RaWQaUZztrHcGWk6f2+vJF+bu/+3uO 57Mvn5XHjx+Vjz5+egBHBLrskavhpAUno8SpYllB6K29/+AXKjMKvlSV8t4AB0XfScw9RRwG4vlM NPidOd9teHK4LOxFJ+XREDT0OGHeWv+s1+JEtRELFZKmQKGMLl+DoMB2x7K0HRNXAj6hSlLWN2W9 3pXH739QRvNjlg59dHpBX+7s6Ufl9OKuPPnkF+WrX/9NKetFubtdqDksEm383nXpQ5/+5LQaKV5v 3GJI6Kd6ju59az6Wtz6GMoXYPWKXRc1gKlVwzG0w3ounD3nQwT70fbQzVA8nppszW7rIzCsyo7kx kOv32IVlaceq9BCmjBRelKq66BqogwLZ8OyyQJx+z7V4yoDhm6doigApW9AhEMcXaUK5OYEnMDgr p6NSToMsjvlzHJPToRFu//G4MFxEptIGIk9SfL/CmoZLZe8KfwZw+vrltwTIj47RmEFSx5aG4fi5 uxHDNMvFNLJRDiQPYfIOYF6BcG8cqPuD6JwLzb2RqAaR6pnRg8/s7dYUJK/R+qCdwe8YV91r4IsV UHI9o9/bkh05jPVGgk5D4Jadnmoje/XyNflmygCn+6uhd8yD8J50Ha0OMByU6pVZAgjzEZ4gRQ7D y5QBnshrwcINlVJ/vhquoAJZBRXzWd+dcaxU0dEB+O0VBh6auhPtwoCFbFxr40bt9r1K6WBocX34 GTWko0EZw9DsNuX69Yvy1W+/4Pv/xf/0L8uryUeNC5YwPozO+//gv3ujEameUw4K2n5Vgu6Ynv+P M1YVdK8yrVn3p8pgJOmLICkKMBbWgYeJQQYpEQ8OriN+hxZ57pZr3CKsn37PpTcd6RV7Bb3y4pvX kviNhyVj15Q9HS463DQlwXI19hDwXnQtQXMHChHW2kgoi6rLdW+HBrIC8oVHNE5N5WO1L2tE1IEW OAzJuQt/M05l/NTrs1bZt4xXXfwB4s6PjpsGWO5IlCSRM7cphzUHYE77rgPxu2oWTD/AOdH8og/g WO8Q6xvqCsKqPA4texcbWKTSfd56LWlG58XIjSM9x3TBnXtqr+l3JGQeP74IYBsVApCoGZMAi2vF PCSOxvR+S8JUSWo3tIXXfHNVvv3mWbm6fM0/HJ+el9l0XparO+K0H370swpv2At3iGYqArE6zjdk R4WBCsj3+tFGQ82sFHVkfbK6sR102faaIUm0lkrtkxeo0WOjjO2+3O2An/bZnBev4D5GgHGQzURa cLArwz6EE9esrABuNR/1ywuMzUGxR3dbe/PhvEs+HupblWsQf8wxrHymNLH/89/8irvLbDYt19dq h41BwmRAGIUDhgolH9jhsHD+3b//9+WTTz4uR/Oj8vjJ4/Jv/vX/Xs7OTsvx8TEbSV5fX5UFgfJR +fCjD8sH738gVdOaAfHu1trJ07voRShRm2MqY8nuusmAqPmDwGM0NiWZMaR24a0sFwspq0KsDlms 3rBsd+uy3q7KZr8u68W6DOHJTECabSGXJk1SCchPJSRdbEgqfmOsQZfWyVR1PA0/RICh4TVBUgf/ mTiZ3ywKhI2ysrI1zEm7dCUqZgOVVDTbKfVZFLxj0cLNPz1/xOdVs1GBbVJJdOcsqxZmA8mzN9X1 pOp9tn2lbkb52XsOauFmVYaUsghjcXQ0L/MZwO7OR/lOYrIhRbQKOWO31GpF7IFJ7Xbl7va2vHj+ dZUamn0wL89+9+tyenJR3v/g48j+2TibnOs6UIf6AtxJe0DImKo0PK9JWK5t88y/Mp2jcbOq1mvC u+zJ9yMkR3NW1MquN42QOhn0yzFCwSDbAv8Cl4/ZcrTxM91hNyizyax8/BF4dfiibXm8f1le7y/K /tBqvcVRPaxsuFJ4WPsM7n+qRDJq25Z35fT0jIsGxuDm5rq8fPmyLBZ35fLykg/n5OSEbZ9ub2/5 M0iHDBVQpwavarcvv/rPf0sDdnJ6wsX161//upyfn5ebm1viDDB2L168oPfz6OJC7ruJoMHitXdi QqsVANR5Baxwid45E2U3n+9ZLTtZR+Ar5ERt1rxOMOCZPYzBpNAf23Vtyng0qbyyWmOWQ7oUlmQv 0E+h6m8FEdHp7HaORnb131SnJ+NozKKK+R1gHtjlV6u7srq7o9EYj6cV3wJ+xnR1Yp/LYGYtTQbb XFwYJxgnfl/gZGzVhkWOVL2tUHiR8EoRRlecJr1eW6951qbju7JEPn/jl6Xxre9Kaq21JCnug0Xh XbzOQ6WQKwH28RyB58DrFxF4yA0P+M7Hn/6ifPTJH9cgDaHvP5j907K4XZT/6//8v8tnf/IZQ09R HQSbYAyvrq9I+GWjjfDesCH//vffsMfkRx99ECVMiEAgiLkul68vy/mjC3IG8byxsfg5MNNIwcwB e1HWsYi5jbmyLLvy5aub8uH5UcGnTkZOqjTFCXTqYUkQPT8Y4TCo5E+2wEDGW+Hro2Gf+nO3P0KJ NB/GstArofPM35GxwjH81//635RPP/2ExgabBAzY119/zQf8wfvvl5/90aeSSMaDCYE8ZEfgVeEB goownUzY1HF+NOfigZbVf/tP/0m5urqO9GufzULxQK+ursqjRxdMwWpBwX3N0JyMl9um44F++/uX KgMaqestdieGQxx5TVwpQmoyMlxys1DMd+wwqHOLtPwe7cejnAJZrukEIWdIERMjC66NQyUX26aM V7eRQptUwBBshKxYYRzIxsPuPPE4v2hjaAJl8o5ATwD2sNmvkL5lthTvWm7ksQLj2qOzaez2uE+p ow7KarNUPSW8TbaeWmmRhNfFcRyqUStC5ThJ6MSLNuEkij05HOpQ05X06c7Sg38j3snG9PB4MFPa Oef9zxgiwOnsgVhdosoZB8FXumkyYIgW7u7uGBHAI8+h2WCwLX//+a/Khx98UL744ovy7NmzgBf0 fQ43tSmO2FD2yZMnPBfeizH9zW9+w/ddX1/z8iD7jfmBGtOTk9Pyl3/5l1EpgvMJG4SZwjUu7pZJ OQRGaFde3t6V57ercrWENPWgvH92pGL4iErwrPA+JkyGjg6iiQkcgP46mo0A7ml6d/L6LP7404/D 2eDMtblXP/VbhjAguHiEbF999XU5O7ugO4kd4PT0pHzy6acEOC3Kp0WtcASLnmUldNOBuQCcXNHw PX7ypDx+8h6L2gzKu/kkOk2DZ4WJZd2glj1sxD/sECfnszIgP6tH+V14SYImUio/xPCEO8lgUeqX Xsy6YkNu94QaQ3QQ6fVWvH7udBDx486Dz6lpawUVcjq6StC23V3gtwpdm2WLLEmEes5UGcfKIoM2 fPmJu7Gsft6U7W7Ff6WAuqO+lBU1cP2vXz1ndhH8IHhiMEDHJ2fkq8G7hEeKxQBsDB1zHJI5HQ4O Ft6Dw1QW9F1TBldYHDcpd0oK2elKGs8z1ChDup/25ybA6PEgLlPTRi2LqV893i3bZs+j4pmmFQSY L28zYWRxISYZ4/fjkyOSaulpY+4EVifjjs424/Lll1+Wm5sbRhVnZyoS/+LZM37m5OSYmzRpFZeX 5Rgb9mzG+Q9jiKgD0QkiBGzQr15d8u4xR2jwMAcjk+xmLrotcKQsNKD7XmzW5dnlotysNuWDs+Py aDou+/W63G26QD28szrHajYZ42LFCqxF6JgZ+4WBG5R9b1hWSKJ9x97zow/TGzwP3oWH9ctf/sMy mczKz3/+c3YjphY3ZYZ7NDrAoNhqPoAIp+FxDLbSTcLgzI/U+w4PYXF7XcbjOQFsX63X/G4I7wZd eLalhwGMv1P1cxW9/qKMhQJoo34ZT1CeM2DnF0iX9FEH41SAOVqUUZY+UwTnFUyWl7In8dQZOk8S YXIQnQMvS0oJph5UkbZQpDAuoVqxVleoUExjgbDKCyjrh+8PwGbTOJpiZasZZCIABmkL46/3Ao9B B2WM6To8PPAZ17s1GdfXV+jKPC7Pn39drq9elfc/+KRcPH5a/vZv/ppG6rM//aU4c+hHSJxHNZab tcJDXAaeswmzLRx1KATD2OrTmLV6ILOVMf/MD+t6R7ZyXQPV9agiI5hCw3peJ2CSEaThYiNgJYy8 cNt1td6ZnC+WS9qJ/Apjv0cG7WZRXr++KeenJ2X24UfxTCCJM+V3PHnyXhkO+wwTRQlRVIJ1A48J hg1zA/ivmxJjw/jss8+ice+WGwlKhjwHOuYcm26scszZq8W6PHt9U27X2/L4ZF5+9uSUnZoI4vt9 4fhmaoMMfTvEuwMJPPA3evL4YL8s9v2ygSbcOzryHe0ThnWYD/oxx/CTTz7hLoGTnZ8dKWyKBzue ouSgdTLhpMViRReUaKd0ONFEyoyuHSaVxG1w9wsNnv1GFAo2NdjFAq5dVsPDwcNDPB87OvrrYXLw GrborDOgfAk/l1jGLbvUPBv/jYsuFgnCx+XdnWRPhujkHJhasLpN8vTuJxxDoHfmQVnuFge8HmBE 8HAwgdOSqhm2TGD0UWWlXeIRmJ7HbrvalP1mXwbTUYFIi3rNwYNUNvbo+JT1bB/1QOa9Kadnj8rR 0Un56NOf05Ahe2slilooFY08SABFm7fURDX/WxMKHawxKRw8uH0mL0onahM66iIzKF9ftcZ/9WHb QD2U+PA3uxuRN6LEQ/1uiWQaP1B0ghgdxF54SMcnF+Xi/KL2EzBgP51Yy6uRjZU0UfH9o8fq2s2I Ijw2E1oXixsmkVCdcXd3W5n0LilrAVQpL2+X5evL23J9pxKynz8+KfPZpBxh8w7yNTlVvIeD9nLV tW3NMvyys/bE16keXMqKl/6wqumPBd/B+Tp02H4K/8rHUGzjGLg9FCFDYzyMhKRE5C4yQxds9wYK S9ESkwEETVEdJi0df1iND0OGUKPeBHhRKm61Fwew3J+rOly9HdtI1Ukw6Is5TY5Q69xsUFz4kw1O lI6EyqRDPqk+KIysGSTWjOlzjYeQNZCkJdQMdcJlIli3Ueh6Vt0Mof/WMqSNPKsHCw3wps4wHs7I exuPAID3y26gcVhcvmZI8v6HH9FzgpGiICNLYwblw4/+qHpFAIOrGYj7q6qqSVanGcokTBgYkWkk plfIC4r7qFS7+8KOnfjQZ8/pwwOT1yACAnqdjadDfeB5mqIDno1f63ouje9Xn09ckjOI+/2AGUgo 0B4dH/N9kCB22RM3NtJ4wkBCwyi+C0aK44mkjWuQojdipaMws7cukEHs6M2lXgh3621Zrrfl25u7 cnW3LmPw8aaj8uhEOmZ5a6ibj+GDB6gjgizuZ6gbTQfhcJPdfheHh/6ewTrwvry83saADQEYUiCf Ax5965Bdq7utmdheVAh/hHHUcCvkW2L51g69+chhhid/d/f1DpiJfS39jKwOlshoHA+5PyyL60Uk AqJ9V+ZJRcpeWFGrC2TIB42tMPdV4QHg5npVdb3UdRiKDNo560RPXafF0cmJd3mPDC1rA8+DcYgB aN5n6opTy4Pi+rcoq9C7UIpiwUGlxUdMOBAw7vXKdGLZGHiQA2Y/F0s00VDnFuAbQyQsnFqPEKEO V51sOfNmzyYpLiRMqhaQHZyj/ZKLjpPHfeAxdbKOFXeppi8VJYcDXjl9zQ+rmFXlMnVDxq4BbZdJ jyCSSpozg3J2NlNWOagKeB2GRvW1No6twsLJGpGOG6EWYRs8bn5/cLbQtA7ndDTgRQuj8uzlTXl+ c8d7mIyH5cOL43I0HtJojYB59TMgGBpdwQc7vD9dXgst9ewauKixFG433MMJQYj57sJCfa+fb1sH 9rKa9/x25xwubq5Lb34s5QMM6A5xt07pSvY9JXAbDmCdKWE8ogXsg1WLA/0D8QGJnDX+lLOM3vFr +Y7B7LRYvEBorFbIdKkRJT2C8ORUfiDCptQIMl8qUr3Vo/Ka0HW4LEgF3V3cRqxfZV4MTvt6vZO5 w048BoZo/Gy0Abu/bRx6F81T2RUA/nDKIU8d4VKA4RblI7YX44c/YfLieSHZQW8AcOpyU1bLVXCk tp1nBufy7nZFyWLq4SeMp17pA8aq0QvMn4pPeAK2G4pTRMeXhCM25Dud/4GQrzM2HVvYPtdabtU6 iY7S7YETcY+B30xpu2fNE9FB4LWbOOz0f21JH5ldzZsIi92ZCH+EJ9NH2RpKiNZM+NRscoF3PCEh N8MC+bpeL1bl8m5VLo6m5cnJrJzPJtGtWZ/vO5OZOj81vDUqdpM6RJ2r5T7+XMcAa4NG9d1kCfO5 d98TMgqeeftvHS6XN+T0DNkvDeB6yKlEliyHWt4p5SG1LBM8ExzY9Q3CM7WOkKb24MtW1qU8yUFM cXdlDrGBpQYT+AxCTWfYcLheUF5PNnwp3U1cSZSHlq1z9k5MfBc7mzluPMO7bwWau1BM5/HYe6Dx o2FpnpNDj6w/X/8r27LaSTFh0FuX8eiohisOFbC7axFL6VOYXb7fftmud+Vugc7NoHageSrwP8va QLupsFsN5JnH01GneWm9iyp653q7tImk1mqe92+abB3syt7YoaH7vg/HJuOMafP4uhiihiLLFrcQ /DDsbN5xspOxOSqLiDnR+EgOqSSf1J63/8lhvYm4zbsH6Rmemsyzw++HvD2c59HxtBzPxvqXTH6N W605LS38tffqfgz26hwG5izhtocoRdfZoJj4PR7muwkGv/voJGPqHbz9MeyPrCMF8HhUJiS6tbPa la9gdeKreHBAZsQVzY8gT2I0L2SXI22MSWB96y6L+8DiJ2VIyxeTI8QOxypxcDxuLgkHAwbIQtNx shyXK4O0JvVCDS7Xwhtqc42uAqoSKGpU4Myi3tM6FHeuIzA79ASsgoHBM6PZiYVDo8Dh2US93rbs +iD7gWu1LvstsnjTCBmkgFEziSZ5xoLS7i6JavYS3O/L7AgISQOtWTiLYlo0xBgNyuWra/YFxCIE h65ViygJ4lkl5c7AeXKTiDQDwRU7nI0N23rgqDtqakxS6QsxEwJ6qM8hFlZbgKnF3INHs4oVA7t3 6V2jUYHp8CbNOZOTi8TGKugwwAWRCV4HrKASGPLRop7TIazA7bbxNO+13Q9x1urplHIyn7DeD4Xz OUS+55HxsLHOYV40BnbP0IRLWhnEQKMxPswnFnOjH+iPbPtVvseTcpljxt50PT/uGM5mxzUNTBpA MHpJoEOFPbCSmGm1aib4LvY+sPiQ4pUTpoeDWi8sSLHGc1cW6apTVfIAiK6v03MTPwthYK5Z83vW q5DeGMiw2Zh04uXgSymhEO3JqOkjI62Gn23H7Qy3F0oa4Byy5sMTHvOMdAaG1hpD68NlETh8/2YH RQbwq7ZlMDZVYMD0OkIHewdsuwUSJ6v2o8cgMob1qSP8VANUtEerRjEB3w7/MBbItK7uNvTI0KVZ gLKMM7hxmbage0srqiMz3B20/UMhWB0fvcMegw2hBAO9QWisrJHl91O3ISlypBjn4IjQ16VEQUvp ekAH2Int/SHOGN+jxS8jQM4hiLVs4CEqCHHfuB8kPIh7xnyv49SZQNEnM8pxGBKl5ACkYVA4H08v GZYH7rYXMtNRWeENuj3vbCDbxtDa8rWbFpj/UAD3045OF50DLytnLt/mGA76UPfclMFOOugwFKvV HY3NBJpDyMAl19GTSd2SW2kADItxHWECyu6xfTyvuBuHV6G6aD+kQU6hEmRoKy2gPTRxZ/ZlcYMC VclwVO3z0B6qJTEuTTFNwpoXoUd1bzJEnFN1xGOE6yLMIHHFTJrHyWlHINTlKjH5YucDIVGLSX0Q McnxXahpxPsn4zl0IOsCrYu2D6rCsuJZVcCP9+Ieiv0ynqp85h4eWL0NYTDz0yk5cDjnBjsrsUZk WyHiByJwinoOAdvmB0eGx7+3Iex4XHVwu16a8R/9G1K9OmFUAKSOzUm93dcoc0kAACAASURBVH+x R6HvDx1+nCtwPhn7pJ+ejrywm3GMn618hAYRlEwaszbw9va6qtYyKzgGFmgIobHGm+ptM9xs6BvP BauBXi8KzFn7F1547+CewgAJt5TX3o95Yeyu44nWRFZ341fxetYFa0+x1nMi4niXgHuLmO+1Btt1 eHpvb7RAglL2I6rJEdJs9puy2ixKL5Q1q9jdtllnegdkPYMfddSpYaugPR4WvCzG7jJm6iIcuAsZ 6qIacGeHZEbS3mruUncBAliGqFi4NNHQVSxzEz1rhb3FB7kbDcKryqJ/aZw7ksRuGutd3Wl2nTM/ jhZixM4Yi5b4HfXcIca2VAeg3pBcMvQrHIVECcck7nHNjE14gwDOI/WNMA6LbzQNJn94RprM3Ya2 Mv4quUDzUmeEnJ21tzudgySsDs3Av6Clj8h7txX+VQUYEwxVscvOjp5H8bt0nxJvL33OY575U80j TJLd+TsSE94evd7raofaUL7hJTWb66CtvtC80qCWmDXfxAOjp2LQe9BoVg1lRftx2HfPqwl9euhR bQIH60WhMkH7SOx05l+UbSEbyVKvjbLkyPD2OUZxX+RHRjeiMEzO7DcPSuViOEjbSPLRdcMDRrqF IRm+EyZWbf11MA5+3l45NVQ8IFa/6RgOJxA51o6GhguoBB/3xuzAjKYPd8tbLixPJslkICOFHX9D wiJ0n9crFOWC7dswHwGBe6mJOxxIXENmusCGryqaTVytcWxst5p2+e31AiazjAbqUlJlRKL0R5ib 3HgbUpwCmI09Lu3K3ZCmdlJOIbJ2z9itooxo1AfrudEkGujeMApdv/TNqQaxRX2YinFRYjMaQdrZ QK5Y/TjPoTKFPQ01kFAtZc7wOXmAsgtfe0s8dEOKTvaoguLAtwZl3ocGPArIN+Xm6pat5CE5ac81 L/wcst3fIVPBdQbFDxdy0p1yit6TunpjiZzasMJ2Mk1463s2zLIT+pjLFw9HyaSuF3roEdmAotpA YbzwW+motd6AvJQD7bgMMXDDju7Ox2M3jpABkjSNNtN9bEwYe8s94Wd4VdxUYFSWG857e5fOYBZU F6HT+RpiikNuNKqHbSGBuIZqjOIWbTUc7vXKHQQKDzTgf8zh+/0+CZk2N9qH3sbJGqIQGBK5OxM0 ownkbHbEybImQBss4mjX1DydO3lXowlr2WYzLWAUKat0QN5Dx4AFsIuQRFY4dIG4gymEZDvzqqet duNhS9j+C17bcNxagNuzE8YDTEeMelxDfzQp682ytkVC6QZS184Oqv6v+cn2aBzKGfeQV4PdNkQO VV7cEYFrRhra2VH/R0FEFSxTM5NtzFCHuSojyjRmTfnoWFONoR4vaSMgy0KPuaWm7pEDm6HXFLAB 9uK0f9GdQRo7THQ2qXSrMDZGzZwohexVf6xOv++emHWCGntKaSLvqpSsCTZ5BsPtidWQLhZ+vYMM nEcpmUNUe5iaC+YHdnziwyusnnzLNDacR3inisGlbBGE6NpYIi4wDykBdXjMpRwNTcDWd92B8U5j pDZwrNzYbMviWmF/LzaRyVx1szjzeDYq06NJaMPr6/CMbq+hECuPDUaNndOnqB1N/QQyhlidgGgi si9l5SaW7/CoyuIH4WFGz2Tw0ws/4Bge7k5yN9uZR+DtFPU6w0Ia9BRGjLZjkTlNeiylLBYoNwjX NbTYXzx/weJpqEHi4QI3YRg5nVK9AWUQ0M1yiKEdV2GLq+/xEBTTo1OJyJ3A3pzd1OfUFMM8MmVq VA0v135Ynj9/Ua6ubil5s1xuy9XVJZsXoO5L72ncsIead+JntneqCgZt0WCiCbyMkJmg+lrlPjtp UvSj2cJwMJMaRC3bcG2iXH6HL8gG4u83lzecgAgLjA0aO5R7Hddjdn30d5Q3EAY4pHE74dqBUig9 6JAsbru0d8EuFw81mK0QPoxinntGVdNWao/M4ndMKIRCaNc7aRfUCXP9PYnxrmjzfiq/Au/sy9e2 9I6X90AskvEfzJnABSp+1EkemcAayy/j7OSLRWQgw9nwXEsqjwOfgre/uL7lOeDZ4nEhOqCQAOWY UUsbX0NOnRJeo8mgnI1PuD78HFBvC75d2aOYHcokuiLDAbUzUVgL/LZB4fM7OAgfRTiYks/Vu86w ft4u3sZmDevD9w5GqCFS3E5z92DVgUM1oBo7Dnr68YvMPUG8HKJ2ME6rzab823/7b1nxDvkNDBh2 b7CKP/n0Yw70sy+eUS0S+lt8oPt9ubi4KJ98+kn5xS8+k6Y1JTFUarJdlTI9mhJg1sQEfSJKItDB JEIp9R6UUib4YfgbPCu0boesCO7jZz/7WXn85KLDxaqbtj2DhwitMQlIOWD92qBD/1jvZMgno1nd EUd9i/LpPmhkI9xo3CI1EGiLBWTPJcHw8US/s7MJvVEZIfe9q95Vp+lEqCk42VBnx7021tX7Aj8L zwft1ebgdJFD1DydDl7lDS6FUgSWEzidDxkrlU0hI6a6SXekaWPceRD+Hnst1Fd3nWUyClGgnae+ vQveYW1IK36dx97qHjakOYvmkXG28ZDjZMjD+mgOw9C4Y80lAfgg+gcG6x3nW96uymq9oJIJyoEQ xcAgzo7HzHrz+XeUPJp2Zy+qLTohXxp/hJCIQpYLyMlsadRc0F7nskF6z+Wu+/mTDlwWZmrWxMo4 aFVzPvjcD8awFLuK8zPsAwSWSwoPYbsH6xckxDEVOv2t5PJG2IgHf3tz2WkmmTMl52fwZlbl+PiE n/3mm2/V4xDvH6Et0YaSHRi89957QqOCRXl7sxD+xcr0Xnn+9esym03KaApPI9jHQb/gLopsGRaw B8avhbfmBhCopofHp+7I1+wE5NR3fvBVJcADejBRD6kd1ufa7VHfuGNmCUXK2yIKggyVw03TB7RA JLsDvSobxWY8QfTEJITHxAmBHnBBzEU5klrap1CxZmDi2juyPS28tUHJcs04ECLPTuZlebssN5eL cnIuzf4a1al9T6e0hIvUjOvoNJwxq+xZ4V9QXuhh1Y3yIH1/kGGs+4MnO19vUjPyNhuWWDOjNeJt 2CnLr0gYBt467vQ5xOdQdhZLrzZbacYq+ivWsDHCM9z/BrWFGhfkPKFNNcZK2akUjGHeYFxuXoMk PCi7zbDcXq3oUR2dgxQNDqNCTVeFVJyqrvxejIEKnz0vc99MMuqnYyZ1rl/f6HvnkQH0WPP9tOKk M2CWvssDRgtXzaYX6bBtzDbybSWTh/0dBOAiZAjeCy08i2+jsjveLDldYUhY6PQuBsNye31dRhP0 CJxzEkBs7uZ6QSzqX/6P/0OU0/TpaV1fXVOaA6qlOPGf/OmfVq+gy7eSzAvpDcMRi1KH434ZTTHZ 2wDzczFZYQjJHafLjQwKOvFKX55Zsdm0/MVf/JP62dtbsPzHB8QJHbVlUxbnD7zBCQhrea/XdzTW DCsxbtE4lbs+cCunm9PibUaiKSCQYAsjvt4Qz4DRPjqGsF54ZHEfzFbVAVDDD4sNuu7OIZexOC1u I3LdsMuGmZ4HMERQHaK/nTFC/n2z4XiZX8fFXnFPebtaaG00ZQyiz14KIe2NdoxVGCUbmtwxuWZg 86hVr08UBBy57Rk0zrFowG1CGysQQCHFw2bA4+Ca1WynNkdvRCIUh9ccVJk6tmzBtRIdiL0cwZ9T EgrzYN8fshia/SkDOwWIfvXyuoynA6p/QjsftJbBKCvRejGrEsRUIl9jL3fWqc/SAgHyzP2Rhs+W bta7EzVobqx2fwAtrIPDxinbpoxn/dCDppflODX9ktLQKabHf8u763J3c61edugqAtb4YFAmsxk1 tcDFAsjM1CxbFUkhgO+HyP/xCUXPuIDj21wO48MLRBMd4U9rLgmBfS473HmkhjMmY/AduBEmDQ5l 1fT606dP+C/aNiEDOptfJOkYZ/x8v+aJiZrh7jhUL0W/P3oU8BDheq+qQJ7xgsxANrOfRpBGrOlh VdWA8FpvXi+I7R0dz8vx2ZTXj+9HdM6kRwDKqe9K/al2Fo52Kof0gmqYHgi/QJuAVwWnAeOKjWE8 O+ogDBQLZAlXKgVJAG6XF2WtL7O+OxeiRZSKmhvQff/6EorYWrg7exjetENqP0/0XBhCoYI1rvuy hPfUH5X58UlHKVVNVeQZ1eRQqFK0/pRt4+I9wQCii9AOWecem9ECSKcAIvs89soca8P3sQM4vihH p8gu78ryGppYkBF3WLllZ23MJ+muaU22kaqPqXjXk2KJuH6euyhgNiwnw+oERoyvcVkPZy19+t78 yTs5foxxeugY7npoyKCQqYYI8RVtyNoOSK8DGARr+xBzS5bYEh0VEOQuFpSDVK3vRq1Orzbynm+r Sy+AR3dzeUsNeYDQcoFb+Gb6gye5F0nm9thDsI61io13LOru96IUia5+2300kbToEKLSQIN7M1AY u4tuxPiOOYrHmU0LwmIy/ubnVKCWEsaobdTkxHUtru/Y0QceLRshHE/LaKKf6fNSmzx2wU4vvXZ0 PKY00e8B2ckQwDghiQElV4zTZIZWXm3RGyhnQ4PgAGWPm3WTSTfMctLecPi8I8xpKaMwChmXQmi9 szJC43nl1aoxlDE2cOyXa51n8KLwfcCOjM3i52EU56/AXIQHgvnQU+s3ymlXPlRchzFNbwkx9vwt NNOhvHC3XHBDATwCI0YAwHLN8f2SotmWATLWK5FRTZGI6FabEhPWuJb8TFPSoed63ii5Smum433G +KNmFHgWjCWSG9CWo5FLQC1W+fYnNJ/4KQfuw9V0P7QQekj5XTwkqH/C04oHz5tJld44wO4dLkd0 q0nADGNAjaCQuMDvEMKX7rXJnzoHrX4CNhqe48sPwByudvCrRLZUMsDueuNsWWpYhQUUUgsNIjWI bbuivOhYHAi/+G3ISGqXbMW9MnjZA4K4X2/UVQjdElDFdUWFQM5m+X5yLVfq68jkAdqd36LEQ5LD aLuEU4xQQB7ZRE9OTO4YsuSd1GHtpFm8AdBw5oYRBwdS4Ph+fBYYGQxV1fiuSq7hRcUGIdXRVhtH mggqHigCKH34mgEMY+UNxVUHLbMbGJDP54V3SKFwuVed4m4lpsag8J6mLClCjZ/6a9aSmThkfyWN DYgKySEs+B03gjz/TI7NRreB+k3FIWgzqMeEOOLEVR5QNtmq3MYKIdC4ulmWyUzPF4mGycQETwn/ MXoA9hsZYPdQdBuwjpR2cX2h5Z6cNY2McEwUqZvIKHJTghDgrWpI/TyxEd4OxuWuf/QH97C+zxoZ Lnlgmt47hhSv36/Uk643jnbiGgTSAuiUtKwLK8NZkNtCgNYwobsTdK4i+YTyalv4dbim7CZTYnnb IwObwHP1VuSl8bSpbTuv2b38cmo8dn56XVh0TrCGUqNDybqpx2TzODTnRD/IU5u0bBJnZvNOK+/o 8JlV0mWv7DagaCypKw5AnTgVPL60A7o6oOI8qUawGkKHVmmX7VzzwSzAQsDkRWkTqBKSmxFBtL41 vkeGROXbbXePhrcg8N7chjyvXhfGNWKfQBdP+xrqQsqAdTX0DcepXkzKLGXr7HFAsw9kolAobG2s 5XLBrjfVm4v5iLB9uVqL40SsU3DGeDjkebisK/ThZ+85ba85zwvjdk0nnhuxjXylK8i7QmUGyqGM JQkSiewjnn2UiZGV7rnr8UuDsPezT8bLz7rz9zQ/4KmjbKvrVant2Lo3KK9XE266f/Ajx7Y/4Rjq YUThaeApG4j6jcadcAgHAebNKsoEksKnK9bJzwEgGyJ8aYH5oVf8Jre8wq5cMSRpVOEhL25vuAjY NCH4StihcpZLmbmU/Urp567RkLcgrpT6HcIaW6nBg1kLN1z+EYbacjMEUekpeDKraQGMqwTWUviX jJ6xLRFu19x1B1TKaAmHMAUpjOuCy379XjjYIbA2pVMZ3y69AIYKr8/mEf5ReC6HjVYciPHwONZF 0TwRqNNeX99KF52t1NDZ6LSy4w8vtTHVA4e0IU4LrvORmgwwZqVX2d0YtBH34YvJpcRHy3p6HqDs CM8a3YXU7emWnu1QBQv3IIlMIzCfiwq19uajn6BH3//vRhkqdVPYjwSGXrfnmWgG4XHis0hQsWFq 4jAyu0hGUXjYpT0nb741Yx3ztiYIkmKvOkgdbFwCZMt4h7YU//8fP9TLGoLU2EMIQmoDSI1DdkJm Kyj58K3jL0BBlBiw2DYVD0cXZ/zLomnqXkdcnsKAOtn9mboLbdjoFO+YoZlFAWsXGchemSDdi+sL gJ3/JYPgG40vSEmCznDEohCljSArOGU2VgbYa/q7NfrMtIlm1xTuYBKbY6OGG9klyBO6XQ8ygKsF jD4mkktflAHEkYUNHdYJ+6pCJB0AuxawlntJv/qDx5vh+nLL8AT4RorW26UG964D9KbxaF7uvrx+ fVm+fPYV276B23bx6KKcX5zdO2mjGoQrnQ1kJCi8OaTHVcNO9svEv/FRPZMeF7eNCf4FDNF4UfaI lDV+fXlJLA6dbEBWfvrh++WD4yOy+3M9Xz46SYAIib3BuTUd6TOofqgaa4o4NiCGBpcRa2m7RbYQ CQtkA7TpukkFkyXBXXNpjlUnLNfUsNt+vbbm9UVpW34+4H+hR2EihLf70T1h6z0bbsoNVFTfQWnO Dz4O591bHMPVDWJutH8ag0ZaB4R6PzuQCAeVA9R2kf1B15SGE3WIiwE85op5794osDY+5Qfd0si7 cn15W07P50r71kXSAHwDoTk92w0xHX+2B5EXjgmELaRrV+h78s7l62aNF2VGWjusDcByChc2XKLu uuHRWymUi2eNSdtnqQUDkMAwMOn5uboRhCfqUe9k0HL83IxRxbXrrXS9q/VKqgzuANTxeqqXk5h9 tSavjV+NneMeHz16VM7Oztl/j4aXvLbQ5DKYdmC0fV56vZXa4EtOPlY8A4DluDLQEwyyW4bF4+zP 1kxlSjbQc4mqAVRYeH7iWiGf5Kyr/25dLNf4Ie7lHIXcwAF0sUTXISQOWVXBra/qZlGFNhpf2NvB /cJgIimFTQpF8RT5C29uhQQGO2xj7SnDTji0O0jFczZnUju6/NnbDr6EN4UtCKu9fpn0duVouC/T zarcUWn+D3d0Y537EWKdKm84hnCjkf5c3qzKfiriHAYSQK9ZwDnT5IHtgKRC06uF93srOzq+zCAq MCSA/SwOZm+0nshuA9RrFWbNwOzGAkPaWW2+ctjSClDjdtsiTzffFmsrgnXNHZnwzuJVQ9zwmEwU tT43JtJqtSR/pgHT6AdnDfeGJ+El7nDstLwRWz8q5tVIo+3qygDqc8+efRmk3Cl737WIrEceG36e TWd1F8Xujb55oIwQ/I1F7c3Dhg/H4mYhXXeSI7MBTDiTn5e9n46BbAXIuJ+Li/OqKX56KroKeFr5 sLmvYXq1qnHeA2fYHh3wKTDGtcggxQIj1SSqH5KNqaFanq/sXC0+HsYf5GNsEpMp5Id79IRg/O75 F55DAWdgHsJDGw/hBaFOVHjWCm3nCN4L16M/pF2K/D9QaIyfkq8F/tYOyhszbnbOKHrDoW8wEPdQ yiIdCK9wU0gtnBuO1RRL+EwOMThzyOIRYEzXpDPhO9+9Ftbh0TtoWU+Y7kD3/QeFhEhl9wLb2KyQ OZISJgDZMm4xvbEcM6YPd143pVCmaCfSWurdV0HU2CkQktHjoOGCF4aHuS1b9sjbltPzYy50tAzH 90xm6i5Cb6/eXBe3qaHMQQo/u9HKRIpXpV3Lu1LE/na7o9EkXe3oNVh1i+g9ItO3Cv0o42oaJ4R9 uHaAu74+AsXQ8QhjjeQaNgV2WwlPFPyrv/qr/1BOT0/VD3Kk7toYU9A7EHbhZ7Q6xynB2Mfx/Plz fgZ9JD/66MM6AzRR3U6+KSTcP+7PEmuDNxyvzTzrqh8dzYg1snHobEzqSZOZzkDaA1F6Da4P8Lho dU5PhZwrlAfBqBuoDiQvnmsDwpOqgzOSQYYGtsYu5ZCMjqQJ+29i0WIT2u7KhOcP1nt4ySpiVwGz wHRlF6XfJQwJmXOA98Av18sV8UmKLbobOTapAMpoiwjSQzV2WIY7dXy27ttglBq5OJqIKMIiAPuk 9lvnFv/VvdWw9ADv8tgapeQ6AKSBZMVeXtwf+uA2eYCW2Eg95HU9dAwZliHVip5/yw0nX7+vTst3 i1UZT6KjcT1zSvlrK46rAc5DQUYC9bXBRI2d247AkpaeXPTtahs1iKizEmcHMr8ApAcE/pHVuit9 6J1PQ8KVE1o7Sc2S1DSfpHt1bdHrL2U1uSCCQ9Vqz8IjTD+TRrEVex6/ivmM8HgqI8LdjFYgsizN G8O4UQeMUh/Q4FKfRoC/4OGglbg8H2BzAvGBb8BTOjk+jsm0Y33ll19+RWNkhji8qOVqxe85IdA9 Kbe3KmOazeV5dbYpjoksxmw+leYVaRNZO+n+4YSBT+JFotrOxlB3VtD9IPNiqROy/trchU5OJDdz iAwgusQAX+oA7vmz/JgzJW1BuqBZeo3NZ8S41e42qYEDg0ESS7WBVaXYiigEb4thKLybUnac63sZ Klc1UNstkTXjXmCgJlPU3kbEEt+fa18b9zGPeScCPMCgevVdrbt1YKHRm9G7hJ+xKRr6r1+WrGPc l9ttv6zZ/OTdHvsfaLR+iJHKx9AEN9wYUqDHw6M6wxa3SxZRDobSwLIuewcD8W5na042NwhFbXeg r8IQCMGgPCp5a/1S1n0aBhgoPFQRF7VzkpR5AswBodi6jHbaiczHqqhaNG1tQHGELdHOHXLABcRE d//tq4diDleMB1g2xq41/kb3fDgKQDV6FkbGkAxnLAR6XHtWyosk2C8TANsmEGLSj7Drwj1N4Ho8 MStS/uVf/kVZ3CEkntDoIcRC/SP+czMN6HrhMwxrBoNycX7OnZ7lTnUNNwPg6Y2CcZBEsTFJ9O+Q TtKdctVzDWNT9fRd6GuCZA0f02frOcMjjdnZKAKQzdmqKuFgxubgtG5EyVHrbJTxYwuB2/e2cClL 8KTNjR6PVjGyjjoRElDw/LXwueHE5odYbTyAUZMcjGAQdY0CBwzXxTpXRvj4IoTf4itiY7MBswy5 aRFt40iruLbnOjDypWv4/Yy0mUTnprR5GOe1Ioj6VWoPu9wOyw337ndrrtKd3DsODdRhaPgDDZZ2 Et+QwebJDkzZTSU3AkPEg4FrzQkfLOaKc/WklFgHIP6t4n9Y7DBaG0yQXf3eKcocxmaxt93BGMx0 PuGdwt0WZ8gEv6T1E5ObnhQ8gAE0p9YkR8KAAlzlrrrZlaMziNVFnVzQHNyZxTaEUAhb0Kv9mXvT SZMdk6wtLJwX+AYycPCiUC9GnCjqCbXThQEBareVZ2U+jrthY+x/8/efh9yOsCGA2vAOXLy9WqNe UmEOsDMoWzx+/LjRAuJcGv4UPsfiReiGgmqA/yWIhX5Pw+6qDaqGS6RMMcCB/fi+bYXqLn/I+0pA uAuUFYqUslzdld7sWF5OKtWx+9VOV1UcU+Y0sMrwzJw5MOxQ6xBrfV18d2TeFPZp42KuI7h9eBfx xhgU8rxIVWgbGAwU1oTpKNhI8B48E3E/xaB3R20mDqjWsCnz2RHvF1jWboeNP2PBMtGMCCJj6O+4 v/B7Gvpq3xoD3/AGxzQ1Fch4NFQ4MIxrOA1/gHDwu7CoQG46iWnDRe7B6fc9dAxzPOxBY9aK5QkA w1VCggerRYmiZ70GJi3CHn/eLGf83TNeOu5qfAqDt1uXsllipxYuRN0ldsQ56CkX12GZFRAsL1/f EBsCvkYOSqUxwnPRTkc8EvH+QNygzRKh0pTiZ5gA168X6h+JAteh+WKNpa/BimsGe3qvbjQ2GMIg WicbqFPgb1eX1wHAt0moUAIYl7k7MtIKD+xJOtsj4bzffv55+WY2JWaFUA+7+Xw+4wKQpjuwKxTO jstHH39czs8vwmAk9LKOYVcKFweeJ+4D0ru9gbBGF9X6+Vc6hGcdHNSQ47UhEzshebYHaR5jnhhn LFTiSVjMkbUjiA0yDcK/XLHPrHKtZE3n8nkbVsVriRnfkiwBW4T7SByxwmnRaCVUWvEX8d+aUGHW ScfZCHAzk7vj3BNMIGNFT5eSPFGe5ubATruGJ2n9KyYLyLEykbnrFbYb1XdnCZlMKckeZPxSQ2w8 kypZVAvh9U43DxZ9tpST/rrc9Ibl7h12y8Gxf0vvq3pdSULZfzs0fNTD4okqRoGHI0EwSFQk6ICZ O2Ts8PBWC7Cll+XoVIJjBJsDILYbqvPKFWX1P9pw3664YEEGrVSGSFHnjJTnvzk3+Pz8aMrP4wVV oreaM9RMAZ+hcUUDgbVIptAYskgcPjM/nhHIn8wsrRy4R3SBZqxPgUD8jLTzumIMm9UKPn9gTzJ2 AEzxvZjERyeorxyyGFY7bFPSdGICWdnpDGPWxSpcr/fzn/9ROX90UX73299xLOFBwZMCSNzknjUR z87P2xN1RJOtfk6QREiCl7Gh3F7f8R7IsA95lY70bzWCrWtx874a18fffbhJN+5PZFkJGEfJFORp 4FlPZ2UEVADUJIDUTFpAolvZqzftt17s8roaOF0XOozlWnPCBo6ieGSPBBWleukRDfT6Zc3mwNqc oPCA0NwGC89hfjxltpVzJygruC/jjAa+CdCzjhCabCKumlvmuWa0Oc2GNIYJY3U39V53lRsO0bVr M2jUEP3bmsA2RvuQZPFdmfS25a781zkeMkD5XrK37/cfasMzPDcdwYApDIrDFVltTY7o4i5uFjgo tytiNrOjcdXv6XZ84T7BUA5UBUuzCAc7JMHZS3MtX+rtFmUXZoPDUNYOIu4wzaYKE8oIC1gNHazo p0i8hQD4nsTN2VyL30YTmugKMXZVp5tFq+gsvR/Te7u9ui2DwaaMp5MyO4ZqqHbPq1dXZTRRA1Ne d7R7yp4KrgeGqvOE0s6CDOlkMi3/5C/+gpPz/OyMuJTB4pbwSN5PZXbTkgAAIABJREFUhEv1gR5i EcEliqra8KDg6TSv2NgOmxgwEOoqLwi7HNaOP6rxPMjK+j6Sny/Fjnidah1agBMY+lQ+gvNgP6Go X7R5bx5jA5nbfQYQn/hHDvXBk6rzOAykOn27QkGKGMKm2obl99vgQdqHPSxDGubublGms1E5Pptr bcS8tgwNxJhS/qCFiWG48F0cw+Bz+Z6qJ96ZE7m7kL2ptpL3NbTuNpvQ9VhM0+svsKwqtw2nYl/u gmKDxT9mBvPNodi7OL4P1/qh4DtDwjYw1t+JXYdNabqcJA8mFickSKCkgB0bEx51aZ0LjMFdXN0R hIYH4kXdeR+lMiLMCo/AIoD4g/g9E3KgkEHcTlBMAHndUZVskeyIzsGatslUCxOeQ8VZxKNSpbsx jwYsgxcDw4RX8A0g9eldg3K3WHDXHU00XuCtIRy+ubopwxHKQkK4kOC6kgO5xKcZ8LTQK1gMbwPA vnAU/O30TIzxw5DhniZ7mtD2jFqdJg6XVQXFAtjRHcLqVLkfnWLutzkPRj8zZyFvE1hnlof2pPNv 6BADKoDPBW9zxhC73kYKcdqGeZjIUQWCqxGE73TuO74Lxb3oao2wbH4s3XMDz3h2kn1G1BB9ANJm gppOZgZjvlHKaLMtpxdHdcH3R9syO0L/TvczgCHa1C7c8KLctaYlhRp2ljlo6oKukNAUoAypdDak 5Kk6UdHrNM8IA01OocUAGgbtcjKLGeD81zeL8vz1ZTmbj8tgPClXm1FZw5FwKMk1LyVYtTHrsS/C u6g3zH0K9z+6NCcAyjxwMWKxVbbJK6pRq6BHepxh2t2qtp9qAy9vCZMExog97+CZHVxA9q6qa1i5 J23XQ2gmhUgRTfEw0MgBDwbqEWg0ge7Go+GUO2MzDm7xRZ4CVVQF3DchObGeNVHRMQZYG1x+NJHA wsZ13C3uyr4H0bZ+OT49K3e369Lb7hge7MDHYlnIYTeWziPpuOnyWnX/GJ/pdJKwFXkauKba2twh 3+EpOyFc81JFItSCwWVReBEiUb0+ExEI5WuGOCUP/ExwWG9MoZx1miLETNMksQdoQHAHyKYNjRVE SJM3Po+9Nym/nmWO7SE1ukSMYLP73DigL39ycVyunt+Uyxc3HbC+pfMFFQwnwcHqS1QPWdPVUsZH Wl/DMg3v24D30clpKNwa39LN1lo+hy9uYRafg9essQE/EW3B5FXBIGQMytfa5QtGJtbE5o4B29ef c4TE585EGKZ6RCqkh0Rjkd2Wa+V3n/+m/OryVblbLsv4+JzlSrP5vFy+fElM9uT0hH979OQ9GrXH n/1FmZw+Ku/i6H+HnMyDXtYD7HcJ+IVhcFxtQFKDYUMWXkqQ1yj5S6HSLdVFnxxfKCwE3oQHZSyJ dUoe4JxHb1kQcV3An1J7LmSRgCPp4UGLfcUHrvIfhGww+JCxgcrjumz2K2YF4elBKxx1keykQvcc DzIwjtIv89lp2SxuFAqF14H7v7la8HqA8Y+PwYIel8Wt3rOCCgAaZyJcuLlmqAYhOGQecU0vn78k 3kcCoEt6on+h9ECb6kPaB+gJ4tzonmIgf3l7U2YhJ03P5oEmD/Uhd0iBubLf/RMV/rz+9orKEGzd Be/t4kh9B8Nq5k44FipkJ5s6NzylvBHp/QTdq+wPRPPQfE2ZNVEBWnayXVZgZQFyZz5WBpQ3K2xS G+KDDPdCPQJzylpP8OhNrIWhOX8P2dUWcmmjE4VDnuWqrBZIHClDqGbBo3L+BNy3CIUjydpJwOBc Ndvb/c8bvT06YUjtfqh2y18UEWhON49bncn1+iHHxGN0+Kz3Li4JkcEOtmgzaJ1/7nKuTtC8xL3c Lu7Kze1t2S9QWjYsZ4/eK1998UV5/OSoXF9dcr68fvWKXMgzjFN5d8dD2/lDx0POFhFyg96OdWXR 1euuqhkECbPkXTBUF6Bfjl9+/8ULei/wVE4eHTGbdfXiik0jRiivyRmAejURe6ZDBD672Ho/we0V AFN1t+Hfx9jR1YIJapLon1jSuYVtNa4Tw07IEI8H5ebVglybyXhMzXngXwhZ7+5U64fMIj74+sXr stjeEH8aDCEFc1NefPN1mUzRYEKnhucnJjXkeAJ4jd24hX1tZTobpYoAkfYEFEOtEjV/y9gQMrE1 RuugmDUv+EqgNEjbK6RZ3FzflPMnp+KFhVegDtXGqproIc5gOZIWYua9rxkuZ5RpYIKsOQU+lGo5 cxcin0uyOTZmaYIa12Jn7yXfgRDPSY8KT0BRdLEur19c8T2YX7wydJtBssXa8rFJEHPqFyZcyrG8 DYT+4x7q9cIbj+vaoUylFhanuVjXQZu3woeiJC3GnPMOAo8IEUEaZeJKITS+Ewc2P4o4JsPXNUZN 7sahYPUyd6GT5Q0tNNq1UYasDQ278DeTbterFfspLDb78t/88h+XyxfflK9e3ZYP/uE/Y10hBu/p P/rngavF87fRTnJOPxpYP3jPG89z4F15nrgVXW3xHhhclKwcShBjommVeiBBcUB5xvWLm3Lx3gkN E0BONDB4/volDZh2azcGjZ3DWt97lOm0tu7sBBNqCK5ZpDsdrGrrvEu/a8LCUeNFtell9I3zjere dHpgWP3BrkyPIToYUr8ARkcAJNf0nmCAcG+j2bBcPD0t25W01NkQ9cWKxkpZISlc4jPqihIlTbEJ RKOttsDTojcQm9M++E5kzu4Wt2U2P44MlhafQe7q7dZPedgypuSiVwkaUoed+NtQtWrxcafbndLH qWv3YONPSYZaa8G1cU3ziTw0iNmx3i9Y68mQVrqEPYWKvWQ6ghenQ8AdYQTpmzWvwphW/0hEZ2Kc ISnj81ZQP3ly9jTwDzKj6oXYVoOflXhxzZBLYbUpg8Bjyx6pW9opYtA1MOlDvEpdt0lhIUwhaCMb FvwnykzT2mqF2M2INzmnfSSE1FEdcw5JHjW6MC/SqrAJe477xJZ4Nh2Wp599Vi5WpXyzw3WFF88E wtsZlsODNbRv+OB3gewZx9JG04yW8c/aTiNXq/tBdMDiOnhZrxv0AkjrjsvsZEJJZKtWnj46Lts1 lBgrc7Fe7XaPjjwbFWgi/IMn513OxOnUNl7twi1+Fpk8x/0dN11NSJ2qrt17aspXXpv5RLiFm+ur MiavCZrs2gHxvQDg6Trf3pTbmysaTRg7YFVHJ2fqFRfeiMMJpo255dWYoN50NfABWLfwp+EW/q/q JR1I7fqczeNpGT1zk/x9Ff9b7VQtAM5Z1SUXQdbp/pa5SpiTdzkkKlAjGovgDh4qMr21nAbkQxm9 Ctwab3sAy7M30cGzashJEKLOv5oDqh6/QezwSMGJsJmBQmkon5o24HGVymvySmNx5/Ix/M/KGTA8 2vg4WulZyfjgMTubbQloXusQ9Buw3o1dyfu2dhrODbUIlL8Rx4H6A/R+I3OeYsmOSofLoQo3bzVX 5b1E0xH+5o6rlFvM80nXDUXb9957xAQPIh+8FW3c+ktALO9GwE9pkh9/MNIgTyyMVl5CcQytgV3T xYZuDzNbURisl5r1gbvMdK+zL/Wz0EyTpnpH/J4XIoypFHgu0Uk3abl7sRl/shfAc2BiUDte3Bhj b9Z5r657ZW93K/stA4PrwMSbHx/zwS/vIOoGkH2qVPbihp4OXptO59RtV+YEyQOnxDWZsNPl0KmV TjzgEWVmc8oy2OiqZEMe6SEYXn+p56woeVp0ATKjsHe1Kbe3d+X0Yt4WZ1wavAgA5Caz7lI9H7tu hwY6KB4j1J55gfZKud3sypTeJYyZROdGxk/cBLZmuw6nZEuo8HkwgRLbSgwT6i2lFd8LfloQfH3+ NM/ceTnTJGqY1aQJWAUGvBCgM54zssjzoxMVJweeqS5JyiQaw7NXZ35XvnYbVP03EFGZfTBFnG7e gWgOrsnFuUUtOcgCd3DKhl35e/dBhG2a+zB02YM82OzT+QwxODnjvoHTsiqLd0wcfdOR99/vMlqc 0Sm5YqeWxNHKw0qnaWBpA4tbRqgVwmJiWd/dLOSW0tUlqCrCC9RaVry0dpXxBRzo1GQiPyztnNJD 140cpLlzGJidOreyjs/rwYvMh4zieruKwmaVbCAExHvnSGUPhrWFVzVK8R++DecxvSIDtV4w5oHJ M/Cu71Zhzhi2nX+9BKn1qNOPLoP11erHebKkD/W6lsp6qUder5w9OgrFyZZVskJB6BurSw4TBFFU 7tpSbDheNMQzdSEA1LlmkAlkqBP8HwLqibbSeRChi2ZNpvWOvDb8BgAdlQzV84zZyg2vkj7bxlmL 3lNwUUPmPF8Cy+J5oc0/lvb65XJJNVvACcNxFEUjWWPcwGdOt5EXT7upZjjgnQuTDLljJ5TiWqg2 EQXzfg4xWzv/n7HK7pxuGxQlnp0USV5qFVnsOvf1QLVJrF6qUAz3mzLdb8ptUe/J/xoHjc8bws17 nlUKFYer3R213GvY1/1Ys9h+kGn3Ul/C5vlonglLchwtm9UrW7SXjMFlO3l6QxFCHWRCJPgvr6Wy 0ZPgvts6iUmuL2kTySOTHja9PN2HNZB8LhgcKyYMImRkYfQeGTVN+IY12ctsTTVVV1gL7zoeFfW+ 3EuQ4LrH9EDCmSEo6h7BaZPAXDWyHacqebhR3E1JH3bI0EIGVnV7c1eOT2etmDzt9nfkHUVYF9fO kMn3xxRsexYOLzBu8sxgp1w7GiAzNpCAC2rhbVro+dEwbNjuytXrm3J0LLB8tVyWmxVoKgLwcSBB QIjhgJ91iH4kFKMaAv/BYLdHmpUJAYKojEuee03i5HPV8zcA3Btx/a742V2DcgRinA+S4u4uZaNj fLH1UOwap5Sa6tzbPiACeJ3IviNT7qttxr5RQOpS8Dkc7UANFWuyty0jdI86EHr8Sccb8Ks3Gas3 hYpANjrkPH5n9aS6QG6+KYYUBHTVoUQbXBt4GypbfuzVUGpAk9VGlUBGKWRa6kNrgK77G/o1TDim 3UM/KzcKlXeXG0Z0d5dMiERIgHOhTAMHPBHE9sClLCNz7yGEwVAmtRWM2qAyrK02KAqGo9ksMbOK w3Q9V74PSpPLBT0KeAHW5VJmLe+uwnhA/eC5OenlzpMigbT9UokNhAr4D89pGechdoWQLzhSbdEd LA4/6059YQbIncRo2c7K07L3nHSbhMEgva/NRqoC+zJgTSh4errXwVZUC/7NG0G9vvAgqtBiejR1 fBTuCNOT4J46OlnjqpTrq9cMCzHOLEA/wBk9R/wdvgdjng0El2FW3a3nfIsecCrUSzo8btgv1g0k fpIoZc1IxHinSL8Z/cjmsgJEmC7LhwLwN7GzRSMHiz6eiUqVlNFmtNGBfX788Taturpbzg877AYM Wd9kcPJATiSnW+sul8p46OYH4c6f6qZlu2Fb8G/lHfUwWVQKYoJY+67mIQljS62XWICsxgkNp2iT qt5g0gWvIwoP427BSXt0fKqJF4C+sSPJfeCd8X2UqJGXhDMubq+ZyUMoIWJsM/Ycm+iN5vC1z2Lo VqTdPAZfPyRzFwqNRlGGk/Af1Ht5QwEpEeYaE37DJrO90t8OiM8gxAKXDJkz1Gmy4zXAYxivgkae oEr0ytERKCANn8nPSNfZiXQ6nqNbpMWjr8qpeh7uSqQPW5fKz4X0gPWuXF3eEn8se+CQW25g4zG6 QZSyX2EhNzqHvwfcv07Ics99aJspvbTENm9cv35Z3QnDghcLMihIwbVhRkUlNBdwAJdVH05XCiho btpfugR7sJSkyYoIGBeGzC3T2NZQ0otzjtzKEw+FZw9QVkrcZ9V+T808Ho7wNN/xjZhzSI2vEV29 o3Dwhxih3BzpbQD6WOaIDLKR6k7Wyv0Ir8HGqHJsDgLlFsJ1L11lAkmfBz0Q0cKdTSMb2lR3s9it eaG7LB0Tej8hCdJIgoc1ic0jaTG+6uqQVlZqGoRU1e9BH2u3x4RelclkT0E63xauFWdgK/QwbHG1 9d7hPcBr067ZjD2NX92xc1mFro9lRKsl/zNOZksrkUHdc+zhVaVVBFp4p/DcRK1AiACQnSHsYM9u LVDF6EcIjPIRXZmyVo7T2r1ESFjdqQNDVhnx7dorEB3ZWG803c+Fh93rU68c4wgdL9XpwbOE5PQ0 aCkIdYLGknDMNMUcVN/bp72B+nvxH9P9yGoCmIaw4t0trxUSL7PZPOGELdPK8C5xAIV3ulmERsjU GSUMWqMLfDvhhVgHLXMXQxpqJqLppHVyr+Sqe1+ZPrIBjSGSPK0gXdeosqMDxyJO54JsZ1G30PAC zaegJrZ9I2c75xgkcZsX+KZD8VIXO/6u9/kHQ9s/xNBV0L1xSmqKoRNXZ4ufDVc1ThkrSvG9B80D rdATLPQmKmcgLWcEDr0z1Qq2kghMvo66pYuct1FYGkQyXbVA6U6mZjAoxyennDQvX16XKwC/8R6c ezg8rcCLDKxblsOYQKpm3mqsYpOkdK4nEgxskJ3aeOWx9E6uz4Aq4VCUoQRlZJABXbN8BPwafACh H7XEwujjfiBdAy+VTQuGKCHRtbFekz2O9OTg0LDUaLMl4RISQeMZZHG0kHOCRP8fz7wjyle3AF6T O3xXzk94pS1D5YUYpFSm4aHPD1rIrBIb2d49zu4eAnXO5NmdDGFLWNBE8G/u8oRxyqA71i+MCci4 eO98flIm06koKJ6AB3fImslQEvW9uUpDv4cxCjzOfQidvatzuAOzqPoAz1sS15Hsqn5Gxq90Wa8v X5dvv/m2GpvhcEgZ7ffee49qtE/ff6pkwmhUfv3rX1Pk8ehoTtrEYnFH+gI4guBJQs0WlwSpIjRt xVz+/IvflFfbSTl9/1NKzmCDvXv9vCyuX3OMhvPzcvzkA9US/oCDnjSbXLz7sLDxsA4MxkOnypNH k0Fi/w2sbA/H7jSObn2i689U0oNfsIByB2cvWBM9rTuES7Jrjx1TuluasJRfDxJqZern9E7COETy G1K/W6HYslxdXcfD7JWnT5+gcKVLOQiPzn0Wu05lOy8mRjcsDZNJhVK1F2uTUn3rwNznRMRnU3df j5tq00IFkzsyDMS24n7GRXBaGCTyahI7XnIiqplDqMV6yTVKjTZlONqV/ihjY13QWThcd9LAQ6Uq fXhWxq3agISx4S0Grmh6SvCQrMDBdw+g3oBaTJ0vE2m7m575SCa5tp6PxtbwLOG5OekjTp0IuiiP wXvgxULJVeRYe4OGIMJYVbkjUwoST656b8IGjbNmyoPGzczzRsGoEEoW5It5nrHE7FGhE9Fvf/tb avnDAE2nMhxffvmlCpmvr7kJw1D95u9/w7GAmOP52Wn58quvO9EQGpjgvU+ePCrnZ+cUifz7X/99 eXl9Vx5/+3sqahA/3azKi6+flfl8XspoWn4+/edldv5UbPifgF91t+z2c4KHv9fbukccNZbkE7Wp d6DdnmJ9A8xYUMqURHq78+0uQG293YR/+IHH+2OjwZJwGKgJFHhVGAcCmRW3MF3BI9E8rpr9SuBp lnaG+D4mLnYnNHMQq1mTvdM8wjuH25+5q28CwhmGuWuOO6CEd4a+QMI2IN4S9WYkJ1JpsKbB84Jk CAVA2BhW1EGKa+OmmHH/8bBqQ9Scfcz4VLTGQuYQQ85xDENx+N57CZgUXuMna33lhEydR1WSN342 zSFwoMFAZSJ7eILY6WnIYFAafcFFxdr81PBDvL0GHXihe3OzSCS0pzZsNRadywOk7venQQHRdbox hw2Ls3wOX6UCi9cbiB2jXmkc3pw937SxNa6W6xCr5AtF/9Szs5F1k3ebjCgOzMunT5/Sq7q6uuJ5 UbWAMPr07LwmjXBcPDon546fm8/L8fERSc+AQHAeNDUBfsvvhnBAb1gmZ4/L2XRdbq8vmcXeg6ID qe3zizKezcvlq5f825t8IfOk9t9n0NJ7D4+cW3no9XyoNKdm1+KBVllVa/Z0uVDKAMHLQu1VC9vY YDXi6BpD0x6B/NdkhYl/7EVNEC2iLRpzu7BKDcA6a0at9Cjo5dXVTssUhQxaUct+NXf+fhyO96Hp 5/wIMbw9JU06khZr3Vto0ouh1M1EhlGC5yPJmlL6ZpjH4qgCZOGAKHSV54gaSHpB0eVXp9T92ZB4 IdfMlSd2B3O0d5awQBt4FnQ3/auK98UM81jZCMRT74aCtSQnwHq3Ue98JmOK8p4MfgvviqxvHxtC FOGGgcbCc6dxsr7xjOH8m/kPgx1a5C0JoPmq90DaSIRfeMvwtLDwaGyidAfRwAq1fJ2sQjtHy/Il byDjrpHhBPeswiixSfp5cdM4xCwz2pm9xmo828PUeYO1v9uX46Pj8vHHH0e9JhJGS3qSOA+EHZer JWthwZ6HlLYbyeJ6OB5sMOPsJDbJDSW2F8ttud0Oy3t/+pf0aq9fPte6AeYHUu10yoL845cvyuj4 /Hu9q0Nd9ofszfcZsy4K/uZQkR6WDYzxnk6iov5sOV9NNHcqdq894hEmuVS3XqUyFk3zg2Suq4fP I9SJz8QOhd9UE2g42EJk0Lw60LfmtanCXvfRFolOed9QGXvDgzo+npfVUpgRSnOETTnbF63Aw1AC e8BpCRi72WlSOkCDVT6c8ArtVTLDRTZ/6Ke73q3qfcVuTQwsFF47l91CrQaqNMeypcKTQmgOo9Dd pTZ5jY9GOC8RRV9VYIXmx/nbY1HljKL1xd40xdi9mDWWW6ovcBbFhqZNa82kBzwutnWHx9BDB+dx GYe3IgjA7P9uCOsehPJWBTzjvWhAivfjmVHni7SVNGa+41TLWA16mls1iRNlO42PZd228KoDgGfk kJJT3mzzs+wmEhpJ1obX94WfF4vb8vvff8OxglFardBSbVWeP/+W54eBeu/Jk4AznlatMmRK51sp 2OLr8LndFlnlfbm5vSuvrl+Vm92mnL//Ib/70dnTB5/f4+/4++HhkO4eJPiGGYK/R1Oi7pB8j8Ua utLcu6B3iHZK/QvsxOCfdbrxbgrB1eLZtlgqh4WDZoByLSxjj0YKqVUWn1Lb4dySSy518JxqRXrj jbSby0WvDlebF6D3HtryCF/JZZI8CTXc3YU6sBfxlwSCuwjbHg3uBS43CXw9pPeR9QyvsWdRNKlh MtdnsDg8MGel6s0EQOyJV3ENXyu/tGWUnCo3llLT40kmxvLQGgrdO0B5hmfbKNKussvdsJ+fS8xx 0hq8CGtY3t6vEhYlE4hHupwE0tiLNWtOUavO7OjWRgpt3DdlC7HEuF9648aRKgYU3ZdDY42KCLiH 0SjUPQVJUNU16C+rJXAfEIADjmgiZGHoW7Yve0XmkAlGkJhdaxvf9ZRa15uWpNfUC12qpKDbmX95 ZdaOTWHIQxcNwPrf/d2vo2AavDKpvkKrCiEiwsP333+/Vm+YJ9aPDRTVDgyta69CMBnGZXr+uNzt j39wBvBNx+5NGNaBxapb8ANff48/ll+DwXJRJQyGmk0cgp4afExSYg00JiL7cZdOYPGhZ1OBcbcZ 6mR5org1XVb2DFxMiz+JmgRcAZIcLTPZ7i1/vgH43zUYFsaz8oMwhZDJjUViyobueUdPAPwde0ZM wZNxvBbW1MdiBkmxeTwIa13rpc7RLkXy+Ghxk23dF7YET7JlaZtB6SyoNAsUxqpW5pCAuE7EworZ gEU+G5frS4CwYrvbADZ564cmUpa1CW8pNaTwBgV8BRk5bgJU1FTz2GpkTHqFBzBQU1Lie2gsimwp cafGPHfhew0tqS7bY2gEvGoexfbjMEwm665Xd2n22yuEodS1V+XRlPLnd3LxZxljJGjQZ1Pvd/LH oWDbPJt2OjzqaqxT45LqDSdVCIfB/rswVPQSgJRSr7wfmUA8m8XdXbl8fUk86vT0JMLoACyqii76 J6xrdw4orUKREpdJRdvRrEwnR+W4d1TexUHi/BvadPUOfONDr6rNsa7RU1mYn6DQlyE4Rxk89E7e 4m7t6DUmZ3YXjSlndbI+BNzaY6uV5VFPxUnF94D7nuVVmligJU7w3ZTNMODsu6ofaeYuZxzMNNaP 7XNsMIA+hVgsUazaZF68Y9oQqqkm7mE4QhjYOCnkPUFcjtyrQemhfTnvFeIdkal0kTWVWdtuTk8w AGv2GeSiVGPT1o1H2JPHrDH6vXs/tDU13NbeDQBu83ayF2Ds6LB9VBvWhkFm/Kzhaq39ur0HXBK+ C2EMDMZk2i9bGC/QDaKHI+gUo6lA7cEIGmkTPgNwopBkUNPawCz5Pc0YOPxSUTQkfdTmjM8ldauR Nr+8EXhb1fuAMV2tukC5n3EqCXK3nbYhNoUSvW7PqNF/cp6j4lbsDh2quxFJ2BMmjBFqIpSg2cba i67kIDY/f/GqHB0dlz//8z+vhm3HTHgD8dQLsyWI/Ix2/R05aMRWQ3nCz2pTBmXVUzLipx4G09/U UzAbrActlc9z8JlkVqpHRh4W7sUUBS/WzkOrk9fZGu3GTJPzYbeMUfYG7pH/PPmgyhN1cB08p/Jc TG9QNs3yIe6ym0H12uCqFsM6ls762NaNV2mCGhAMao2XslL1k3Vw6CVwwjcvApObXXFMOuT8FhlQ NXmtCr+OAQuhXHKE3+01CBBvygbmRLUyDhquushkzPNjrH5mbf7S9TbNkveEZTgfxFklJLrecR2w w0kXmVIscBkBhWde4JgWLkPamhcF3HOLDkbbsh9CL1yikLhSGBy8F+C4Mmlqqsr7xpyKrkXtHtTL j5pjYahEl0Cdo7xVPC+X4CBFz7Il46+B6WC8pXcWn40kC84LFvzJ6VkTrUyGO9DUkM858HbxvpAk Rgt6eJK4VtWlRhmXi5O9GUVrECcutEHJKIn+IPqGmPtq+Dpkb81mHb3R5mfEhA7oHPQIRWsBBosD BOJF6ZVV/910es4JijcdnGfGEX9IKPgdF0jQpct50aVUvkns+HxH5Ww1vEha600NIL5OCosA+kxN yBSBIBKaBuAsVAsHtSBs0CrWECB4yw5177JNCOkaqeWYQWVXQMfqAAAgAElEQVTdH0I7/A1us0Tc EsHPALNXcixwXnNwiVbrO7Z+Go2OygyZmJ5CXbHOjS91JXRtZF3u45Q/khStS5AfVPMq6MajzX0A seATyWNrRitvKO3hy4PVIu4W2OJYoQnFBB5K8ywPJ04OReWdRsYtDBSxO/+8WqqEpY/OQHPOyM1q Q+14WLLZ8ahs1svaTAQD5Vo2NR9p2c3dDi3TEC4OCMYDh/I94DvZBzJIpzgR27GFgcPf4FnQGNCL bbw21moy2TJunizxxiHlczBfUK4y3xzBEkheOica0CQYGbZbeZDTOSR79BxwrdvUc5K0AWyMLlli xbjOZfIyNfZ76nfIjHFtYDEss/lpOTl9RMFK4nEVOy6xtkwjCuZ6PDh5WOgMJYC+9GTs8Hdc37qM ywLeFb4HSSJsCAPxB3eor8W5UtMMb0hKPHx/pvBNh2eno7I3Hjnxlw6W5mxDHM0n1gU6hEg5+VTT VXk26aRtJ1cmcLdHd9tdGfdnzJJll7D1jtO7qyZ2DBLB5+BZtZCz6fxkUmqt1fKkZ0+4bYHoDyZo 2J7AGXaMjdmxJHuR30V/qBlUEVMxEZEyluAa3FhIs7geM33OhrCGau3cpoq0EZeBsZfUwrqk1Y2m tn31hCRVwUWvCZhuO7/rG504yMAvpHqh6xV4TBITjK9tRjuUNLxJ4bzMxG3hjdyVCWSjDYYOx1Uq +/b6lt2lsXgnI1wz5gFqJYVVSQRP/Sux+3PhDYc0fJB9QUastx8E52hBo0UvoVfKUWhYEadhWA91 iitKAdnjyGExn9lqxbIcbFb77ZBMbGmYyYDAeAI7G09mMmSYe5yjTSdKCgkCvVWPF9ploXZK4+RO PdjgMD+owbVkqzbjU8jy+X1ohjGZ2PhqU4LQXn8gFQtzvXA/NsSbtXpgGuwPYlXyoEt5/fp1+dWv fkX+1cWjR+Xrr75mwHXy3oflGoXv8165/v0X5fKbZ+XRp39aJkcn5Xd//e/YdGI/PS6T6bzsNlAR /qbMzy7YqGI4Pyu9EK38r3F0IJ77bb7iTal41UdLh+csIF+Jz7RwAx4Vsn+YjDe3L2s7peF+UvqH mIiXBRezFhjB8AA2VURq3lDWmtKXdkKqgywPFo57ymVA05kSH1kauGustLCZYUm8KelYRRdrkzzp 3zavL3f07R0kAKqueaq7yyFZxpAOf6wCbR3Dl7XAm7HSODb9rq5UzZ5NZGG00DxkfjSR1nny7hy6 Rv64o+uvrBOMz0hhBwz2UPr3y+WapT/4/OwYSQoZIbDrZ0dHZbm4LaMJYkecF5lXNaqFscF30DPe QNFjV0YThc3wqBDerZdLbVII+8gtQzmTjI43sDxoGgcRSF+/fknPTkXWXTihdisfDsvR0RHPje+C xhuVHtimXjWQuBeM62wuwBqeNr1YymW7rAjGC81QhGMxqbEHh+pOxgdVETSsKhuqzy3COCc+VI7W cF+FjVuFmpQdB6s/75Itgvnii2flvffeL6v1svzVX/0HAvXctAb/pTz6+OdlPJ2X588+L1evX5b/ 8p/+uvzyn/3PZTqflW+efV5+++u/5X2cP36vJqCGk2n55M//RTl+8lHHoLgg+Yccbysrw/vd3wfp 1aq+TtauJ2N824tGRbdO2RrkU5YJuj/QSVqsbmkslO2J8pFgCztzVhdgtaHBoK4Fp7kfXYjgBUFV r0lP3TpMxr6Mp3TZNg2Eb7wahxFe9Ellwp+qqW14VtsIEQZMNtSZER2KG/jcMohypwOfO8ieZrDa 4/idOHriSTF0GMmraF6WJ30LI+VwaYrYIFuaGX+bgiwLjO4KIVLgd3WRg3O2kmZ+fYZNcpnyO3ht MqGxQls00jbC44WOFTyvCvIH7jZAE1UUeAO/Y9HzmudRXZ2eBwwa3gvjIrE5KXMoXLurgLYzXsR7 9uAozVQ5YSls9tdTWc5tqGugLAfhXx3bqoxqKgmaQ4h8iu/C5/B+hqD9ASV68AUjFsa78FhKDA4N HSHAG9M5+2WHZ4UM8mDA2j4c8A7x2orqFBGixbz2phaTzK4/P7OvZOYmvdOeazs+++wX9LAuL6/L 0ydPyuNHjyg/A7C9zM7L8cUTEnsvnn5Q9v1hOXvytLz86rdldvaofPjHf1aOT07Kyfnjcnv1ioZz fHRWxrPjrgF6C2Olsfnh7+187qA2cWhPpx6o7kcGbHVXhfRYf2WFw2TcDLzC913v7qhiKXugBhFu yIiBRvyPHQ+hA91xh3dJDrmFi807WEHNgM0dhqQOyJjgnCHbwexKfDR5G15gHS+EPoPA7xZWWjv8 AMeLCnxlFJv8rD21liXLQ6dz4F5FduyrBCXUJWxY66c6trW1Wa+bSB3wrgc4jPZpWXkyZ/C6j7uF 72ZSa2NQ2L5cwqtRPzs0xpWHKm/BzG2Pa63l25by6vW1sK2BOm4jvFFa2lrouifee2RYa3Pbfb9s 0PNxMlP4H/I9KB05Pj0PNQKB25grV5ev+Z7Ti0dVHcL7n55jKwiv9ZmIOImZOVRNzyiuT8Z5XV6+ fFF+/83vy89//kcMoxB2UcN/ueT8w4GMMIyucNeoew1vVl64gHS0mQM26KatXieWTRaGhYwoymrE 89qs1trHrSfWcbK1duDdjTBeUZydEQXDKMaxEIJ++umn6jaOQu9+r1yt9+X5ZlyWvVnp71ZlAi9x NCu7u+symh2X987e42ffiygL5zsKgiwpM6FWynnwlh7TjxHt+65D7eMSAVO7tRbyKGEO9U2pk3HK 0ZVRf1J2PZBJGysZLZMgPyweElKtqBJv/Cl5bE0MjZcSHpC9GzcD4KKr9WYgxq3KftcroyLmeccI hChczhLywe91fTjEPDfg37S1yBUKY8P3RalIjqYzdlZrELGKhRrVGi/2y4sskfOPxuBitBOVIkT7 mtMZPeu65Ew/evKatso4kV8TRg6/o9AVm4goDfJGUaXv+7Tq63AGAH5blpClWQNw3ZPJL08kvMzU hQUL/PYSTWtX5fh0TggA98f6OHUHoTEjkdMN/pKRCKkwSVOD8IndGwsWHWDiPC7RMfsfQDgWEBQ2 SH+oumiRQQQ9xvr6TIosy3Qyqx1lahTg2sDOsS+vXr0kQfPJ4yfl7/7Lr8vnn3/OMUOpC8LVL7/8 ivjRbD4r5+fn5c/+7M8YOpqG4ky4MKXg3UV4Cq+TmdXQ6GLpmmEI3C+MAJU2ANoLG5T2eleRltQI tLIbIgRHKC4gv1IstECq0QRH7a/+6v+g4ULBNDa2/WhSru42nBt98Apn07JYoUfjHb3I00dPuO4+ +uV/X0txviuTWDeLH3D8YJD9Bx4qzUkhB87OzhzBI3I3G0VzHkBrKzmYhcEaFZgDyZiOynKzUJcZ EhoHZTxCOKC0bNW1qs1bsUMJz2AdFDhecZPGj8AVx3mBD9hIAIi2TGzFhqqnkQTR4tnLMKLZgAqS hz0RQe2FkUMV1Ad0BKVWFrxEgqoNq2qelrOYAuWhooDyEkw+hBcIixWOtuxr89QiJDFR15hUaIdV rOWwUUHHYIaIHqgC2RDu++VofiQRv/WqLBYCshH+6fUgT/aHZTLrlRUM+UahO8BthJ1iXes5u7Tl 6uU1W29RHgaLbC9JF2A8W2QKGaJrLrk7ERatxk9ZXilI6I4Byhu7wj0en5zxFgDo47P2ltAmnt1n asgtQy0DHGJ7pDkMy2wGY9KPUip7C3WE63zANQKXgmIuvPfPP/8NF/psOiln5+ehkLCgt4SxfPLe k/L8+fPqofo/FW6HNE7onyG+pOgfxg+9EsEvQ8ebvtrH6bpsFOJZ7xscglrLFh3IUxQ3sR96W5o/ 2Ebcv7PRYLbli98947OTqgPapU1LbzQpNze3DHcR8qnUrV9uXr8oTz/6pHz9m78ts6OT8jHm0xuU GX6wZ5V1Cd7RQQzrMMQhVnGQAtTCkZFSI8xux2AaNxTuojYwXErsTIM+FA0HZQjtpkg1ewdyQbS8 WeEY6KyMv2N3NFDKhQlz2AMZD4sKk1Wenx98PZKrVRtcxv9RAC8RVq0KQANWBBZjkiG8HcIDc8Ys Pl+7/xyw+3FtJpewLnFioql3/jSU8RBde1azs1mOt3pSB/yoA6Bd4VkUOEd6G2O7uF2Ub37/LRfg s2fPyj/8R3/WOtoY5wJfjJ/ZlTLZkGwoUBfjPiboLc8AwoZocQ6hvVEZz4KbBi5Vwrj66Go8Uifs 1d1dLQ3CbcvYmA4jJQTjabhGnI/9B5l5g14XVAemoeGl8RboDK+qwQXK+Ko8TGOr543wSUaiVwYo gq4DrOcJT+Z2cV1evbosq9WmHB/PyvnZH9PgYJ7K+xM+5n6BAOB/9rOf0cuCd1vJpHGTwnLdNt7P Gsx/MO6tWiFumcmxYt7LWEsT7f8r7suW5DiSJC3vrKzKwsVrSfbMcHee+qn7cXf+/xNmRFa2Rbp7 rl6SDYBAXXlGjqipqZtFVOFGc1yEBFCVGRnp4W5upqamNg0IhCGpJwRiPVWYpI4qf4MD//nzFx7W /v73v7MXL1+68ZpcPLXzr35j+0gguTy0h7UT+3a3sfnZuX2x2ZBi8o6WX+/rXYkB/7nHFF5FawQx qKHKjaMHkXQHh5+8S0joQnN5sM8gjNVoZuMpNjlkTVirR7yBDwj/eVbRuTMM6dQXkOUqYmvDw0HD VSz0I2VRXLxOGlHyUNTXK42WNkmBA8iw94qMqF0sTTPRaN3d8rESAENpHUnbJoDgAC8eNLS74GX5 acf+jKQl9IX8miPUuBT8HaglPAzC4A/88YqxtWsE9YGdiUmEBFcLBmK9HvvCRYpbm05p/hYauvIr cJ6JdVNqrcOrgSzJ6I7GDB218X7ILrtHhM0q77p0EmpG3DXHqL0P766G1zjpNY/SqVIm2CVnUCiN elMv18nuxe6ZNe+e38WNBkrEVPCO/ol7qLfusgt3HMIN4+mRN/ldcTCuzqDasY7fkbAMzTQlajxM deN1RqJxUwkJPCl4hb3nHKx8F1KcUdjRGetOJQlp8cgmO+/MQ0zxEtUXkUx8GcfTveRNZvHxenhQ t7d3Du6v15f26NFj+/LLr+zl6czu5o9t6caooNYt7zWyxaPw5N/A2JTqyLvwKDdSfyNjhTFFxTy1 KRmawWXEgpkv6YLjBFdI5QzxyrQOjanG1RE1wr0XbFpfwQ10JhkNbcK5KAVc7o6oP9vZ7c21Ew+b RpQeuv898K6id6V7yFEmuxmtwlZu1IHSWut0tD/+3z85sfGL79BoMugKs4ltb1+HUilJqACWr19f 2/rxpQOym9uNn5BffP3M/vT//myPn13aoyePG38Gp+R2wzQ0bgin5+p85VhNSwOAIGvEONJ7KP0d BwmB4elG/AuUkiAg+n3i80Hondj3339rjx9TlFD35YqaVaGgsethVGbBXIcxYGE7fGS04sqMIQHx qnPWuEBYJ3h+wf3yhIsLNfJkT1Fmmofs4ceyKdwHMBV5JGB3Z9iuOtSIApxQmk+emU3VJSa51DOI RSySyaSZb2h6gMgOlsYSkHE+W6VmFYwwrIsY/ifp/ksk0V3boIFIyiXw1yDXAadDOEcmetaUsvSM 4eO4IzPePf/QHUPCQt4ohjS7hCN7MxjI5tjIcbavIgnDbOvMvc/jbmK7w9iOxXsquZ4cbwKtqrE6 vRuv+pwh4HBM6Z7HxnAm8Mw6lC0AnA7g1Gu/ohFj0h8yjXzfKvNU7JDJE2O6xed7z0C6P+aLiicd DNkSWtsr9OSbkuEcXW5R7iB9JIVx90dfKqVyt/jDvt6Tlz2ctr6xf/7/P0X33bGHU6vz81jwqP5f 2k9/+dku1uf29Mun9u9//g+7/OXKdZegAQ/84/zizF78/MJur9Hrbmabu43dvL7x+TxbQVsI7ecp wnb5aG1ff/tN3ltkDxmW8zNbeHjPsxIdIt/aaspKRf5ySfljGNrV+TK0zeHNtDa5bXWqWNhlgEYM iUZLhM3hkRQPUwRdD5UcUE4+WeJnLDGRACPBbvCpklyrxiGtqW10MfasoLDTEG6kjn3oaRWZZKzR unFzGRCQdhHGQmcRhilcFsaOVQ+U06GqyMm6PbJ4NBquseFRANexd36SukZvnWeZk3S/tB49VItW X3qGMIiS8IFnjgjDZbbHJEuz9RioQSHVXLHTU3aSEglV4P90uiTI7s1nS/b8bZboQ8Y7LNHnxqse GtPJiEJnKh9x4TOb2QEsdQBzcL8xgY7p8Km4zhHE9KtEcqIu7eJN77u8xj8Up0bgT24UFqQniEGs xdUKf6P+kHrttVdbTlDPhg1c53hFWzAIJzBUz/joyZpEx9nUbq/unNhIg4pMqVp0ESOAPjb1hdBA duoGzbkqi5njP9h4V6+u3PsCIx6vx+uceLjFnOIkjjA8DgNgCSmoGffu/1NX32Jq5XE1qoa8X5a4 CGeDNziZgseUyQHqclFUEUkHhYi4HxgrYYot9G8SNzo9KxcuOGahR8VDJ8gSaNfu2AxCZKhkLtls 19eDFEJxXwKLQzDRPfFsO5fKCJmcaJhew5Ai9S4hx5BmUdmP/x0+f/QJdOgo1EJ0KYWsbtTH0Jmi ITtuQx1EGWFIBsnbk49YCLsy5rowki5IwiA0hpqEdOf9OAihAfeo3GuSoizf596jwtJ4DkfV7o5L pKF9IppOnjLMSjcawqcbrdOvmA1804jOz2AXcwG7J4WTdjT3bJfaTFViqWLsXi1aO/bvx9qeRXLi G8NKLzpuJwBPQe+ft93Y5vbGVheUzqh62JUDlYTTByauEAjjB8UfrCFiCNmNZvbd339nkwUXAbJM TkfwsJTUhO9/QJjBrNf3//Cdu97Kqjo7eW721ffPfNGdXZzZk+6JXxvGzPGU+dS5SsvV0i4uz1sZ ET0oZJQo9KdDw7dDc12qAWv/a6nsCtq5nZmw9EYJB3/IDo7z9Mf9bO5uPOwCmEvOHOv6KLlMtVcZ JwLGUfQu78aZ5qyZQ/cVGPKb6xtjjS2leYhvjux8Dq4VcEhu5spIb/iXN1IIcLznTaZXlL+LIuOW GeP3r1porsCBg8aNblYIHPxQAF0CnEBmQPGf88Ai7CL4DcCbZTeOozkRNeSOFM7F1FcpGveevAM0 GO44lOHlsthdMkJ6Ho5ddSiQJifR6UNusDNMr3vNDU/HP4XKAqejjdR8hWpIwby2p7FtT0wIfMp4 0/tPv1IoqDFFdozhHycC1t83T0zMGIu5NTuNSQsZ1nt3/oANcXceip2ehYjq/FCTlEPh3stuZ9ev X3koiLDQT2gA9FHOwBM6jWbNuulz0/N6oC9iK8lQM04Yq4nXfK0frX3x4Nsvv0Dbbn239FZ0vdXF Kj8j5mO3v7XLpxe2XKw8KwpN7YENZ9q+o2havx6zdlep/eruP/5aL9nC7KYtnmGIh+Gth2DWX+K0 h/wLsmjn3txVBMgaTqeOmRNFS0MFeS8geILjA8zJFTWiKcjV1Y2X5yCsg2wRGh14Sr0SO+KhVyNE TygxGv973HN2RMpQTIYoJJ80Oa1IWNr9MroA56lVRUjCAX4H4ulV0sPBfURz0dCZV6clHSx9Hftc W6MSWkuqpiY40KUGzwg8MiUA0NqNhFIaHXmrfRRDwowckyLBLNVWeZEJu/R1unbd2LYdD4wBIf69 x7tCvXfJy3zOMaUx8j4u/qc2MzwrDGXFNG2+OKOlu79+kJFrLnJs5v1+26q+iUn1DR0WIhYQil69 Bm218mt5H8Do1ItF7xydQQPJ+2OYRekrOsiVl4VzXljoKzkp1T2JzNwld69wzhoIXowOsqMd6RKJ sSXepIUXlJv7txzSGyKKij/WiprrRNe3dgTyEXKoCQWzd3j5EbJ5VPfsJjabzN0TAr4x8zKVWSun yXrN0DELA+g1nU6EJOOfsjRQ8qSuOIBkl4iZwaNBwuZllJvQ88Z7pPWlZ0NjlA6iNje88Pxd3FNr CsIkTTUa9bXtujEEWmP+9juK7+Ea/A5Ug3AeFcB5P0Tp8VCOBWz0PVVTQxGWtIx85lrv7eCQQGMw 8+n5UTRPjXahjqBwGtPrVR9IYsWekLFlxMPDQfEHuWTxPZXQ0WEU2F5bi8L/EEKC4tGN/M+Hcd/3 G0OYcLh8f80x9dDvBLILMR3dBbJ8xxG5SX0DEPpUrctz4ij+R/yA7nF2TaY+Uek7FwsanpeLvKFn 2vnaQy9vXBnEO1XvZ0upBCB7HtVg9AzawIvg70mfoJ4XQ4zUMs8Qi3/h/5Sp7L+GOkWjRWzMOg/K rrgRiGacZfPyKtqw6c209PuwJXu7nVCzjAQGnh+1wgiEdQd6QjKYMKTeaXs8sdXFRZAcS2/HwtFq IHwcVpLsTdnjcQvXQYQk6MxTfb1mvZlr44OuEk0RIpGcxj8MYzK603AFt7Z5DMTCODdSKMhn2V8H ug+WzoRcc5QTwbBTryvwU/faaYj8GTR6hDAjJh1m6KwE3lIYiLa2GhMo1Bl0byqtan0KQ9UhJGFY RhRUBbD8QYdxDlzss7AOqkOt67aLw0R9FFoZl/cdkPhldA7Hod+N7A4GKypEPma4x/2GcO/XANmH w49CeVkBqQ40u/OLCtT1EoEiGDfMZmkx4dRnR2M1YKixuTrIsOMJNoGT5vZIbbOs4fr6ykOPs9W6 lX7UKepFU2X0vKoByTNT80fP3vDUJn6Q9Vj9bjCNXtAyX7nJhMUpvX2fytLnX5HvFYvSLyoy7ck7 eNVezMOsYPtdpMn3x611Y+AvnXWufRQepLJp8aEomQJ7HYTQoUci7wAGqaF9ca/aEO5pIau2PHNv mAA/wvXOJouZv399ce6yveifR3b13NPqKo6nYcxSEhrUXHeaT0/ve7vd0KtyddK+h5PefH8dwDAs 0H4+wmqXr47QiRUcSPMTP63cJsfknETLC1JHrT39FmF4Qw1pvLmWGh9U70BvtbGRLFKmEF4wyNPO v4oQDgmaK/bEFDYFYunZ2cLpL7q/Zu1PwvVUaiT8V41Wk26BC+47sz2SCx+pZeVz+i5O1a9ssZq8 jOtqjxAiHdj5xWPeyNo1t1AtjQpPKIZcYhVmel7PS0G40ORh5IaWdAhYPjyFsHDoip9sh1TwdGKX j5/ZxMH9t/ikvXC0YkfVo8oGG3jYMFZoOTWfUXWgfEkuYm2wgisoDFBMcy/cLCznXojiSg+pU+5d g6IbtlL6ajpKY5PkTmE+ziXCCR2NLxBqd6M97F3bkMKClHGi+qabU26SJiCYWJKwQi1+EqCZcJCR wYpAqOwcPYRT44ljYTD0IFhyo/D7oR9eGqS492jdJnUJqp1yotoGjpKbhju1uavNWuuy68sdOa4a YaRehLXk5TOnI5UiVATthdJ9g9d6QkqoPgyWh9R7FEDTGKFo2b00o0feOt1EyRm9LIbiYr8T840s rJcEUVuNmcKTvY6GqDCUoCWsVsmiV+jbMo+TLG1q936kkF/OE2fw9jixnSu8fqR39Q5W+3+Lh9VO U7jcNrcjgEYA0H46JC9IGQp5FDn44Ek47Uj89MyHlDYzHR5T3IyBMCllORBKOLnw1Nn25XMHKVGe 04xBMQzl433UxaeRL1OPRC4uUDYQ7jZwUvr9EVaoWUZeq48tZSYni5l7mdEi9azPV4KBV0sZZf3Q CZTlXnORkcm+P2xtd9h4Rvf27tb/8zrNUADwcGBKJUsYYbV4AjVjuVja4bh1tQuqaIShDFqHp9kn LNpGJYF7u1uwwKnK6tdcLLzhJrKo+yNxoPX6ccNsMCi6KK8ivLUwph4qhTfg5tSVPLBp1V2IHkxr qtFbX/0u1BkGppeo/ov8t4rqqanldY0hGOiPK6VEW4ciabGJnCrZFsfQ9lvn0Xlx9pw9DyU/rN6H ueay56I+22sMXe4ZmfC7PDwx1/OZVyNgPlGZQMqN6h3j+0aR8+FAPC02TSR0g34SdaJag7uj2W03 sX0huX7oeNvbPpehegiw5z5/+PXThiVEmyjiWA8AvD0d60ypy1tCyQaoEVIprQTIdkpoo4eLjThf rrxOQz1wr86HVlI7SVJBa/jl4g7v/bSntCkgM27fMR030iDJphHy8EhCgqEMSjZ/SAQH3jQUFsw2 6n1j1by1Xh1YGkRFHveycwEUIwTZHzce1nlXHzTU3CLTt7Pr7dZ+fP4XvwYY9zDuCKtR44fPXC1X dn62sr/77nu7syubz6j8qlAFkiFoVOEeXuAjktyhTj0pLmcrkB47W51BuA4aVksvUCegTA4XjXz/ 6VSJH2W1vGlqCCwCoK+y0dLXr/jg0FjZQ9CCO2xSV806Q60n/7kqt+hm90Ptotmf2czwtD0MPDr2 5zisH9jpQQpLxGhM+ZDobqFheGfSyqIEDWhDNGyQtXF1VUhCo9vPcG0X72rUGP9ZwvPQXr0+wLvK BrofM3zO3tbR+ROtltcbvuEa4LIPiQjNYB32CawDEHQOSRRbyoPyX7XwKDccAF/na006ByiZXUxW rt6niv9W+FmyIsxwgf8SGcsjNbRp51jqo+3QMktaVLh+QaSrB9ZL18fMOCYyXrawzD2B0vn46vrG lTjZqIJYzfJsYY8fP8owJTaVn2yDXnW9RebOG5QhkBpHAVTqMtF+Y2MFdoPSkWhkShwE0jxbO9o2 1JNTx3vluumsrf7hN/+Tek+uk85MIF5zt7l1VVBQSq6uX9v5xaUt5yHPokDREwZT96iVvndPz6tQ eE2C8zQ28KLX60fBSWLSgqEkmlOQZ5RF9JEpBkjsIHwcIH5twAYhq+JeVVZR9Pox3lvMeWTpd+q4 7fCDwPfWvi0zZj2aS+X1KW9cwykXdOT6QPgH75LPWC3bDklPADHUcb2pjUG6bs+PiRwZLtBy8D3P Ly7s9vraZnPI6UztAiKDdxu7vnlt5+cru3z0tOmvqaC+zec4pYrkAbYKh0EzkTtojn0CWRTYVRXO e18g/n2G9vHbDJ4/VdLfemN6dZzaenqymVegYyLAyl6MK58AABmBSURBVCbR09UQQv7DM30o4qx8 GZ0c2JB+PEWH5rK0Yt8GzpS/KAmRnixMu7YeiAPz4Y20dleSX+m3ia34zPAB8vfhAfVCPv7dMbTu ZDc3G/vr8xeuTsCOuwv76usv7cmTR405nNnKmmSovCpek5SCvR3R1w7qEiEprEJyP3FboTcWMAme mrtZh9D63Od3e7y1P/77v7q6AQiDreVTpM75fBa23e1stVrZi19e2MXqwjlA//kf/2pPHn1hP/zm 3JYuIlFXAUNKNuVAwTCTD7omu9cglDk45WQ8nbmg3AQSNMqyRRZx5JLC9ErkfZI7FBwuaJZHxrd/ qPA+srdef17rUu//PDqOR3Gx+kp6zwcp0roHl1kywQ/VSBHvk/oIDAPLddTmXs9KRjhBdIoPOg6I n+9olGGcKACIg48HMeZYXrA3sHA8j+sbuF+r9xxmbUqZlsXiFmThBtX17VPmKGcqwvLR5zVW7TY+ /LJxX++vVqpCapkGnOfTw8vXLkw/OlvaxfnUZsjshaIi3Fed2FK27Gcu1AGHqXNwfeSV9dPWxQVq vlIzaW0S/PqDiXEguXRVUeo70fX+E8nTOa5dFgD/EAaXuIvCB5zS2Msvnj+3P/7xT/5Z3377P/wk /Oabr6iJVRZTAv0JACt5oJ+jB+MYEjuusok54XvZAYedmZW1cvBbQL/UO5v0MpnNP/31R3v+8mfH pVZnF7bZbuzcQzWz57/81dYXl/bDb37wrw6VzL/8+J8eGv784id7cnlpZ4tzW8yLeqTA4ejkMpog wwccsYZPZgsPN6mSKdpAC9LlybQwPLLHDdvKfpP+HB28Jrtc5UDyaNwTD0WGfGb1+WaNHgQMa6ur Jt0djS0UDrbnJE19NteMe2dYK2137/ZU4AnXkC9xi7rtwCjfXL12Ei6aV5y5wB6KrmnEPQPtHY6E A4/cE3NJ6GjW4Q5TPPv6/frlZ6IQySjRM5bqKXHZ+8mfo9cDf7i96t5lrD4DfvUQtPO2+yk5B5t+ 9c2lP5BfXlzbi9ux3Wy3tkILqPMzOz+b2GKOdksg3EW/s9Y2ilcBeDqH7Gpr16WehmFgZB6HwHlF FTUZxUNpVfmNmR7lNi2TpwlMnETXiI/Lz6sTpFuHDn0UiarRKAZoFL/97W/td7/7PSfM9dx5+npB bbvI8FTjp2B+mDVjeDONou1qdHu4TOsLK69RNW/6jlmn9s3X39jXX34dzT/VaDUaF0RPOj+RxmO7 XF/6n//rH/6xzdfd7RW7zcyZ9EB3ZBg1tX2nuio5VBK9a88kwhoYLW8/1fOEICoglYf0gNj6KhuR OoQQzRW8FtXT/AG4S4guGu32ZLvrgyuquBgpAJkYIj4Iz0rSNjBsjQYgWkt4ggi9k2uoAmsuoLub Gw+lJXcEIwSMEPeJP89WF7a+fMwDPbwqGtID2fVuqFkriNDRrxFdb5QA8o49HjikKkqu36TB8L7H 7T5bSOjfQXuP770+QJTx/mH+PqMIQ/xNDJai82qE3jXq66Z4MzITT56B9DeyZx3UPk/2+mprW8iL LFmpziwLF0Jz9RsoWrMrfRBw4P8MQrTys2YDT/0/B7hU+6JqAlrKVfpfUnVqYSzV7tz14HklV1aV 4md8BlxzNbXUz1k9742fyre6D/9nKp+DEr1ZKkGNdDGpBQpHc9VmrGodHRcd66TjNRNmrhbTpZ0t 181QAYdycD7Y68CrUCqE7CLKrxaTc9tvAOgGDuOM68jqTWe29959LFlhj7zklaknoRsmqIgGbym9 ndA0b12XOD/+t8C1pHvuGuauLCsDxkPAva8gqtKrTHKoAPKKe2gNKKmirJyUEfbOssdnIUrYOqPc RRX9qEmyrJ/gyOZJztoJmWSUeys47+2YfTJhYNBVh2U3WTjtLdCOCK1D22oycgVP7B0016AiBuVj pgvVyCaM0eCJHm7F76e62FG8piYWFP5q/LIz++vxzHaWh/CHDu/7+0ak3T7L+BAvq45oQqESgqwR XEzHtj1AFK2z5TTbx+NpslxCCy1Pz+ph5W1VMqNO3BpapRfWsIX4++vXVyE7y4c6nY68oDgXc3+z tC7ezQPL+xKm4sYj1Brue2YMUe7VSerblAWgBEIvpD2p4zG/BzJ8Tc8pQhMqE5TEhK4lo127X7cX hL6YsfIffDkYK2T9Go7TzW0+Sd12dVaB5Mjd7rVtNje2vnhKmZOYL2d6QwN8w1Q7OsKQCR7KCo22 kdE1wmZ5m0lUHDWOEkNremCab/WJlDa+q3nCG0SJkIB6P1CiplXrIwU9e8+Q5WHwTnC9DDdJZ2DY JtwVcw1sDwZLZTKOO0UCg54dn1EebEgwbBtFQ1lkFmiTU4WMoaoFqIiqkJIgv4qzXcX1AOyKRFqt Ix7wuebbCTzw2PWd+/DDmFr78lRRWgRl2JPZ8+PMNl7s/PGA+5vGpwDtw3Ev8nnP0QAAbVjN2XI1 t+5ma6ft0WwSkqoxuAGT/4JF46qKIeuhOiq6frqlNFRagPfwxRa/0+BsNntbLmctFLm6vm361i3D GOlsX/i96XgAtB3ypx6ayAKo59z071NeJDaYSjLgNanmjgaJBEJv6FDKOuRTD8FjPUJ1a+5jZSgR QXNRs8UYPDd2P27Pwz2vYHhHl9/xjJsTYdf54rFt7ZaqDE11Mj9it4cu2MFWi3PyqpqGWfV80+PD PaLQ2bs3o9vN3Z3t99Q/Bx2F3Y5jjnphetBLjlRFzbQ/jbsbHjUILR5Iu1A+kXzKzg/MZh2QjUHY 64z2aFVGzTfqreN3280t3+8qEmheykNKtAuHCVzxYeZZ4JGKy+OQ9PrIwONQrH/CweQdpQPnbeqo IK+ikmPBCKXKA5XMU52fthJa9HF/gZ6CZ0b1XX4W1LtQ4HyAsfpIsP1tQ6HgZzNYdel/aNec6mXI M8FJCunczR1OdTQmwAkvqkEJUSLDAjwIYzaLk7Es0IeNRL+BaQkU2++BPfzhD3/wLiU//vij/d3f f2+PH639ZGf328hmaQZ61++XFdW0dm+BlHKdB6a1vZWbJ3g5AMyD0wXAlSd1Mv3Bgm6lGW5MSZ9Q Zq/pcA+9tjihh8kE/zlUP9GwNPSiMKSe0DaR86HYq1FAMY161P0VuR5nzu9TlWC6OCNgHIqWSs9r Q/FZ8f2QUEaodXN925pFjEdHT9nDa0vvVkXj+Vwkg+3lUKBOhOHHa4ALgZHujUXaIZG1qQnOQ1Y7 iooF9JeGvhS/k+AjDBXVHuBZ4TM8SeQctInNHRbIGlJv3YVQHmGi65gR36shsPjDMLzsXiMjm6KE niE+oEGrNMZ0aCVFpxmrFi3UgywO3ab9HxFA9CBQNhav3XX4hmN7uR+jZ9X9TMUHjHBkf5XxUR5W 31hFxic2qJNBT2O73Y7sMB85/aHBCtrwI7Xp5s+dTxTKkb00ay/l+ubBbiYH22zYjxDtli4uLpih CjAUG282U4W72PdVhyFHbTQpg1yLbvXz+wYrjUbNArpEy+2tL3LqLpUMWHHZWx1e0clnul9toYhn qT6R81m9QPxfPRTlbmTCo4VbDlizv56KotW8FZgKNcVlrPj9oaIZLrJfC94OKQ3B86mdtAtxV3OB z/rzn//NVVfxc3haX339rGXIvPGsMLny0J0+0dG7UsZQ38HnEx5P4+ClDj2/q7TL+4dN0+wK3IVz G01GhC+dRq4w0bp1O9gPUqyTtiI2w/ND8mBq3Xhsr1+9ZL1g1BayEJxSR5wHHhQqoE41U84h7xXz kB2hdUBnLeFAuy1my4u4B4d5xblOEhbozO5Gc3t9hPfd2V038UqVTxlvoiz8LWxYo/B8wMWng0s0 vEiTtEdo1o1s3pmdeb3WQBwvFpT6rfkSj1DR+zM0cD5vUHerEwWfVbussNXXzNbrFbGEsdkXXzyx 84tzKoC2jFPhQrRmD/djuPtAv35R/lrqEIfGS/92Zc0tcSRodnnIEO+lkaDBrRpG5KlFdlHXLd4p oYv7MtME4os8jsKHgTMpzA3YGduY07tw44g5dSNEnEWERzZCINfIf9eaKaSBbashwsM6R/jMJ08e 29OnT9z44Bkhu0qvTCUpKv9JzI6eUfS5bPWG/FPqCTnf7DDDZ5z67dzgRWmiLKqMtKL8KybKCa6h uyVtLZ8zp6DswytO75MikzM2Lw1umTw7YYy+B9CApXWAqgccr8PkRakRLa3TFHLrqbvtbMt5qOcW NIaTvGP05TS7GS3tVbf0MMkBeHR2/sRY0A3+oNuybMGv5Hi922D1N2sfc5jEpnm1H9v2eLKldbaa dLaaZ7NF0QcwPKPUyxzldf2z+IFxAkXKNh6QsG56LMQE0DcO/16t5l4S0oDOHh8nO7PEBfK+RCB9 AIuqnKH3GdxUM1uNz11TigoPPCnlyXlzVqTKpQ4Z7qqyd7zPYTeeB25OBNmyTKSiodBMoQP71XU2 2oc+ubKKcep7iNMqBGR8maqXX8rnrlScjGi9Pa2RsYfoMFBQGYXBevR43XBESkBLj0KdY9IzlnHU d1PRvD6zepDs7J1zIEXU9KoKJhkHBSV+khTBYnEULLOBCjwtdHv1uTkxvAc/ar7gvePvHpaGyiru DT+bhsoDqVvFIyq0HY8wSlkOuYtJ56mZ5/rM5UfFt+kf7FrSIW+EIdO4nHS2jfm9AXb1CaFgHafP 0Lm5Le+3eGwf2u6+p9bQw5MKbWCJ0Gt/YGrWOtcnvR2PbDcb23xGwuFial5s6aezTyQ8Lha4cqHn A04518QoXHAtQhZ+vkIVpKIpv6JwqXo/YjOLoVybkmYKPMO5YbaFfKPU0r4Hg9UJjveDqXwyFqDK M/I2ZAVbYm0mQy6GKtVgSdOpflYYjQgH8mdlAbTv3Qfq26YNkN8zVa1DNuaHGIxKQ/Y4SEIXnCe3 6vc4pASr6LR5KgW3RMaLnafR7GLq7PVsjgv4ty+w18NvwghU+kqiDJmV1O/VOVtdfo7HUPJsuFOs VbX8GtwrJxkenLK13pHRvR+oJ3dzHqxImqAkTSGbt5c70lhhIry8KKAPeXD958LB+kCw70ULUSNK yTBFNnLgHdb9UFNV/edtzXuDAzsfI/O6s003sVeGTOGnj0odwXhXp5y3eWl+vTfsqeHnvO9gCXvs 8JbRKXtjuZjafFqLLCl4tgfnZXuwox1s661EoXNytAkyerOprSZmc7CWwWlCfaEXOiZxNA1k7apz 3xPT3w+nkc167pHd2yBYYAqxanRYkwR6b6AK7VKJ1cQXL4azYgcMkdj0Ve8jQBuhbxgmhFpaXE70 xCZA4fFbHLoeBtd7EedJafC+Ye8beYrEJZNbjRx62JfkkaP7s7y+ZtzLhqnvy5QhT/X1xUUAzhDI EwYKAxgAeYRDfs0orFY2TnOVXzE8P4DY/IheKIpXjh8M8Wt4JUZ4H8fxTG1MsJfcRNQAAw4Gv+Ru 3Dh6CEhs6ur22kNtFz0MAykqhH92aT+mHJpwteT3xfOLW05cMBQswhNv2GVbDEMMJTOuCrn98IAD 4br15fl8wqg+vfbkhwwG8+8G1D/GWJVW9eJK9e26fziyhYtsKqrQQK2UkLbdHcyWfpcnTwG/3B6t O5vZ2XxM/RpfhKG3pGr3MAL6rPgaLTysi/JqjxNxZK6gUekBAWQKP5PAYO3ccw8bCp6NTrf+gqsa VDWzqcUYTTynEWp5sTLF7bS52HklDFpcV1pNvSqBh28vXdsC7KZxz02Rg1pVFdtC4qNhKuEdaBOz pTvbfjGMzeVZT/g3DccOwyhUg0KaRVJS6FkkG72i75g3eDjVwaQKQl2Dfa/c93zgaeqh2PdQAuPD 8x0NM7FSjqCH40mHIA7jFCBhVCVBvAfo1d9cX7vkCzLBOIhhvFKrjNSN1B2jd0pjW3XZhodfSC0J kCtz0Psu5TnXPgSneDEzm8SL4TykOf98ow9IfNx7H/SuBjjshwyXAq0OaBvNYj9U9oJTmm2wMNCW gQZj7l1UzlDoebe3u9PUzrAmIu6H8uFdZ7Y5SmeanUgWo85m45PXMLbnJv2pkdnz/ci+IdE+On31 NDubIXTagRfZclr8WuVEzNM9vmIJ9TSVOYl5QrbkgE43Z4HzNMcihrqmjJPjF71auCTdZoapnAht rnWqlvNJoZO/L+VMciHLa41ONfHM+J1YvOsSMS3rF5sKeBP4SlHeo+/djPgDz7xlSpt30T/RVcDt 9IFSS4lXuGH3D1dpjt4T8+HUgKAyRIaTHmlidVXPn/PZN/aaCzUdFVDuXmaQUsUR1PzocBIQ7nrr h9StBz53fvnIiacZ1nJwnSE0LR5oVCyIPNo7DGNe2Y0nw+T6Gs57hktZkhPZ0VPf0+VnAqj5PMaK wXP59+nTDNWbsKuPDQcxvDKzvrfnkj5IFEg8qeeROZhKWZKns6m9enVn3W5vh8ncZtDU7sxu9kfb HMZ2d2T2kcoAI1tMxg7kP5p3toBFaqcnWiEhSxlgbmE93xzHtkeYOD7ZcowOOMXbai3iuXh9A2m6 mupDmcRiiAXUazaatxBf3JMJfj2VRwRY3cLp6A8XDG4twgefXA+Xk2eTOCLloskzk0FIdn2tCmUm UoXMvHyGPbi8c8f8DdEUtMgEtyd/Dyer8xOicS2kIbbUf6281/SqKC0ca0xCjVFK4jQDlyS6T570 QnB95/HDUkHDZ9Ta2bu4XUDFzSiw/yLDNQoWNg+4ZQH5HuBZYLJfrB+zzV0YQcEBHuaHBtZsBHIp n5GavbL9XTkVQwO2h9/1Dsb63IvHWw5VOg6nAkuE9HI3sqsTAsNPDwf5+e/4fbnrj+miEwHXR48p 7HO2tbp/c/0+Mw+n4Ps3RDG/9aOlXV3t7LA92M1+ZNtuZJsdeEETA2y98oIlSG7g1J7Z6wM5X0/n wHsA3J+80HEHtjDKDrouPDkoKY7s5/3U7rqxLUZHu5weDUlLpHfxPtg8GMT9keD/zH9H7aD2HQZY SP03jR1nQD+Td4bh1fwgBKJEo9WSCX8Jjatm5Pi/4ZQJV2tebAPcaZiRxdshrT5f2NS5PIW4GIoB xMmAkdErcA+jOPK+sUNCWd6Jb0pvQz8IT7W/3jA3PMxjJcTh8JBhk4wM5wchy8i16kettjI9Vr2n NtwQl6xhZ5IsLjulnZWDZ8Suz1Gm5SKMeS1m/YhhOTAukcZi0Nx7g7igs99R5mS2BzYHSR6V6Shs dPwvCs/D6KjsauY8sJxPGSmHExqlI9Ukcj7k4d4H86unP1EZ0amzmy7Ior9COFhLc/xbf4SN/ARb 5WMKV7mlyXu4TRxQilbs4TvkITW4DXBQxiO7uFjY5mZjd5vOxfBXi4lnFmfTkXn9p59U6Ot3Z79s TnZzOredy7qO7OnsYJezkW38dCZ+BSMAA/bzduLGCgbiFjyxAzWc5uOTPZke3EC9Okzs7ji2s3Fn X8yRtcE1UGUPHCK15vugdRIUM6sYmZ2SShfOQbY2WffqaNJO8GCM31cd4KgJh8paZ/88GiyUl5D0 mTrecnwF7vJU53t9s0pzv/QSBOgPkT95WmHrKi3swdELl3sbquJcGZ74BnSCVyYxmv+uTsWj0JFH PUBTaK0aYqAaMEvXysHi46RJpfvwZhXq5l2UGlyvCzLdhcjbM2zi/jVPTBg3vTsRYL1NGRjzLtQY 9JWYv76xyi2gQnH/GTpsu2Z+KEXEa9AlPAnFmZygt93bWOXe0mA5nwxNUo9mL47Lvxl+VYcoCPq5 pGs+uNfhJ1osZ7ozcup7AW+9bjVQg5BSwzMYU7PZ5dLOofneoR4Omb7+9R3AnhnU5G13d2u70doO 44n9ZTuyO4ibTdjO+9XObDIf2e1hZJuD2fi4s4WXeZysm0CLfmrbbmw/7cc2Gx1tZ3Pnqaynna3i Q3mi0VNSl10tBlEjhmlkhZU6PRPMzcWUyYIgYw4mZDiv4kO5QSmdqXmKE48y13lqolT9M6Ho4PP7 4D4OlBiOFeRSMehFiPBG6frAbwB4N0NUyqh6h1X/43LjN/sVKGLThw+D74qlWZCeJMg0ftSI6loB tV4CY/rixQv/ruB5EX/LhAo2P7xOfNLF+YV/XyQYVMO6PEN5EZ+rA+GirbgRg1pCbDrPsmX46/OG 0DQ+A7QNL1ly6aFZSCBLxqYqpDJRQGyqdK6BN7k/hiwTcDEeaOwMtbNHTy/amvPXO6aVB2jqdlVs NZMvTCyM7AW4kaDYfKbxNvxq6HFl4Pru3GR77Wcgn0533dbmXjj8QHeNB9z+egNvxL8GA3toNX3g OsItwClZTG2JWri7V7axme3PLu11d7LVBE0jKWX34xYPaGHT3ZWHgvMlFye4MofN1vbThe3nC0OR yrPpzp7NDm4k+TF84NgsUBMdzwWMxr03w5BAaFs0nn2KnoTRsMNrzIBvNOkXLMDwPcIjqHwrkUsx oNbJ47bSPERF6Mvgco6V9eLy8O5CpcOw3k9Z59g8gRE1/Ma7H1MepXkcDzyrGsLomVZ8SRmxh59l KAno6ukMxfv5I/K+gE0xaaHuyy9fvrR//ud/afrmuCaydDRUkL452e3dnRu6Z8+e2Hq9tuvr6+BR He3//NP/tsnkjCqcqsuM7J9wNRcTdGMelITAx2isoAxLbp8wUFcKdflqFDincaa+f3rf+YzhaZ9s twX/7WQXj1ZR+cDM6uxubNevbqJA/GSri6ULRAKaceNZ63Db2hTmZ55/Qd0uhAWvu8Vnda4qy+S9 DMv7AFoxSq7lk8Z/AQkO6eh5S7UPAAAAAElFTkSuQmCC