20220330 12392700 1.0 FALSE UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><FeatureDataset>ADMINSIG.unitats_administratives</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD=00022e687362313045456d786c2b752b2b4c3647514636783476417267574a7332302b4978717474456a2f447744553d2a00;SERVER=129.200.10.200;INSTANCE=sde:oracle$129.200.10.200:1521/ORCL;DBCLIENT=oracle;DB_CONNECTION_PROPERTIES=129.200.10.200:1521/ORCL;USER=ADMINSIG;VERSION=SDE.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>ADMINSIG.Secc_Cens_URB_POL</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>AREA</field_name><field_type>DOUBLE</field_type><field_precision>7</field_precision><field_scale>1</field_scale><field_alias>AREA</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>PERIMETRE</field_name><field_type>DOUBLE</field_type><field_precision>7</field_precision><field_scale>1</field_scale><field_alias>PERIMETRE</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><FeatureDataset>ADMINSIG.unitats_administratives</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD=00022e687362313045456d786c2b752b2b4c3647514636783476417267574a7332302b4978717474456a2f447744553d2a00;SERVER=129.200.10.200;INSTANCE=sde:oracle$129.200.10.200:1521/ORCL;DBCLIENT=oracle;DB_CONNECTION_PROPERTIES=129.200.10.200:1521/ORCL;USER=ADMINSIG;VERSION=SDE.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>ADMINSIG.Secc_Cens_URB_POL</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>AREA</field_name><field_type>DOUBLE</field_type><field_precision>7</field_precision><field_scale>1</field_scale><field_alias>AREA</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>PERIMETRE</field_name><field_type>DOUBLE</field_type><field_precision>7</field_precision><field_scale>1</field_scale><field_alias>PERIMETRE</field_alias><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> TruncateTable "8. Seccions_Censals_Zona Urbana\ADMINSIG.Secc_Cens_URB_POL" Append '8. Seccions_Censals_Zona Urbana\Secc_Cens_Nou_seccionat_URB_POL' "8. Seccions_Censals_Zona Urbana\ADMINSIG.Secc_Cens_URB_POL" "Input fields must match target fields" # # # JoinField ADMINSIG.Secc_Cens_URB_POL SEC_CENS 'SC_24-21$' Seccio_Censal # "Select transfer fields" # "Do not add indexes" UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><FeatureDataset>ADMINSIG.unitats_administratives</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e686c502f395451495334746f716b5076432b37574c524748584f463966716e462f3754544662725a476163513d2a00;ENCRYPTED_PASSWORD=00022e687051536f454945505542424b71326d4e70324f4b75634670325357786141794c41492b6a35496d557a326b3d2a00;SERVER=129.200.10.200;INSTANCE=sde:oracle$129.200.10.200:1521/ORCL;DBCLIENT=oracle;DB_CONNECTION_PROPERTIES=129.200.10.200:1521/ORCL;USER=ADMINSIG;VERSION=SDE.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>ADMINSIG.Secc_Cens_URB_POL</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><DeleteField><field_name>SECCIO_CENSAL</field_name><field_name>ELECTORS_24</field_name><field_name>ELECTORS_21</field_name><field_name>VOTANTS_24</field_name><field_name>VOTANTS_21</field_name><field_name>P_PARTICIPACIO_24</field_name><field_name>P_PARTICIPACIO_21</field_name><field_name>P_ABSTENCIO_24</field_name><field_name>P_ABSTENCIO_21</field_name><field_name>CS_24</field_name><field_name>CS_21</field_name><field_name>CS_24_P</field_name><field_name>CS_21_P</field_name><field_name>CS_21_24</field_name><field_name>CS_21_24_P</field_name><field_name>JUNTS_24</field_name><field_name>JXC_21</field_name><field_name>JUNTS_24_P</field_name><field_name>JXC_21_P</field_name><field_name>JUNTS_21_24</field_name><field_name>JUNTS_21_24_P</field_name><field_name>ERC_24</field_name><field_name>ERC_21</field_name><field_name>ERC_24_P</field_name><field_name>ERC_21_P</field_name><field_name>ERC_21_24</field_name><field_name>ERC_21_24_P</field_name><field_name>SUMAR_24</field_name><field_name>SUMAR_21</field_name><field_name>SUMAR_24_P</field_name><field_name>SUMAR_21_P</field_name><field_name>SUMAR_21_24</field_name><field_name>SUMAR_21_24_P</field_name><field_name>PSC_24</field_name><field_name>PSC_21</field_name><field_name>PSC_24_P</field_name><field_name>PSC_21_P</field_name><field_name>PSC_21_24</field_name><field_name>PSC_21_24_P</field_name><field_name>PP_24</field_name><field_name>PP_21</field_name><field_name>PP_24_P</field_name><field_name>PP_21_P</field_name><field_name>PP_21_24</field_name><field_name>PP_21_24_P</field_name><field_name>VOX_24</field_name><field_name>VOX_21</field_name><field_name>VOX_24_P</field_name><field_name>VOX_21_P</field_name><field_name>VOX_21_24</field_name><field_name>VOX_21_24_P</field_name><field_name>CUP_24</field_name><field_name>CUP_21</field_name><field_name>CUP_24_P</field_name><field_name>CUP_21_P</field_name><field_name>CUP_21_24</field_name><field_name>CUP_21_24_P</field_name><field_name>RESTA_24</field_name><field_name>RESTA_21</field_name><field_name>RESTA_24_P</field_name><field_name>RESTA_21_P</field_name><field_name>RESTA_21_24</field_name><field_name>RESTA_21_24_P</field_name><field_name>BLANCO_24</field_name><field_name>BLANCO_21</field_name><field_name>NULOS_24</field_name><field_name>NULOS_21</field_name><field_name>TOTAL_24</field_name><field_name>TOTAL_21</field_name><field_name>TOTAL_24_P</field_name><field_name>PARTIT_GUANYADOR_24</field_name></DeleteField></workflow></operationSequence> ExportFeatures ADMINSIG.Secc_Cens_URB_POL "K:\cartogra\0_DOCUMENTACIÓ\2_Cartografia Temàtica\Eleccions\ELECCIONS\ELECCIONS.gdb\Eleccions_Parlament_Catalunya_12M_2024\Eleccions_12M_2024_Resultats_Seccions_Censals" # NOT_USE_ALIAS "ID_GRUP "ID_GRUP" true true false 2 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.ID_GRUP,0,1,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.ID_GRUP,0,1;NOM_GRUP "NOM_GRUP" true true false 40 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.NOM_GRUP,0,39,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.NOM_GRUP,0,39;ID_SUBGRUP "ID_SUBGRUP" true true false 5 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.ID_SUBGRUP,0,4,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.ID_SUBGRUP,0,4;NIVELL "NIVELL" true true false 35 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.NIVELL,0,34,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.NIVELL,0,34;DESCRIPCIO "DESCRIPCIO" true true false 80 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.DESCRIPCIO,0,79,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.DESCRIPCIO,0,79;MUNICIPI "MUNICIPI" true true false 6 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.MUNICIPI,0,5,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.MUNICIPI,0,5;DIST_CENS "DIST_CENS" true true false 2 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.DIST_CENS,0,1,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.DIST_CENS,0,1;DIST_MUN "DIST_MUN" true true false 2 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.DIST_MUN,0,1,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.DIST_MUN,0,1;BARRI "BARRI" true true false 2 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.BARRI,0,1,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.BARRI,0,1;NOM_BARRI "NOM_BARRI" true true false 25 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.NOM_BARRI,0,24,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.NOM_BARRI,0,24;SEC_CENS "SEC_CENS" true true false 5 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.SEC_CENS,0,4,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.SEC_CENS,0,4;ABS "ABS" true true false 1 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.ABS,0,0,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.ABS,0,0;EBASP "EBASP" true true false 1 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.EBASP,0,0,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.EBASP,0,0;LITERAL "LITERAL" true true false 25 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.LITERAL,0,24,ADMINSIG.Secc_Cens_URB_POL,ADMINSIG.Secc_Cens_URB_POL.LITERAL,0,24;Seccio_Censal "Seccio_Censal" true true false 255 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Seccio_Censal,0,254,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Seccio_Censal,0,254;Electors_24 "Electors_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Electors_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Electors_24,-1,-1;Electors_21 "Electors_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Electors_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Electors_21,-1,-1;Votants_24 "Votants_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Votants_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Votants_24,-1,-1;Votants_21 "Votants_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Votants_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Votants_21,-1,-1;P_Participacio_24 "P_Participacio_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.P_Participacio_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.P_Participacio_24,-1,-1;P_Participacio_21 "P_Participacio_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.P_Participacio_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.P_Participacio_21,-1,-1;P_Abstencio_24 "P_Abstencio_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.P_Abstencio_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.P_Abstencio_24,-1,-1;P_Abstencio_21 "P_Abstencio_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.P_Abstencio_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.P_Abstencio_21,-1,-1;Cs_24 "Cs_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_24,-1,-1;Cs_21 "Cs_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_21,-1,-1;Cs_24_P "Cs_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_24_P,-1,-1;Cs_21_P "Cs_21_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_21_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_21_P,-1,-1;Cs_21_24 "Cs_21_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_21_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_21_24,-1,-1;Cs_21_24_P "Cs_21_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_21_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Cs_21_24_P,-1,-1;Junts_24 "Junts_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Junts_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Junts_24,-1,-1;JxC_21 "JxC_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.JxC_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.JxC_21,-1,-1;Junts_24_P "Junts_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Junts_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Junts_24_P,-1,-1;JxC_21_P "JxC_21_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.JxC_21_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.JxC_21_P,-1,-1;Junts_21_24 "Junts_21_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Junts_21_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Junts_21_24,-1,-1;Junts_21_24_P "Junts_21_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Junts_21_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Junts_21_24_P,-1,-1;ERC_24 "ERC_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_24,-1,-1;ERC_21 "ERC_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_21,-1,-1;ERC_24_P "ERC_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_24_P,-1,-1;ERC_21_P "ERC_21_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_21_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_21_P,-1,-1;ERC_21_24 "ERC_21_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_21_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_21_24,-1,-1;ERC_21_24_P "ERC_21_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_21_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ERC_21_24_P,-1,-1;SUMAR_24 "SUMAR_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_24,-1,-1;SUMAR_21 "SUMAR_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_21,-1,-1;SUMAR_24_P "SUMAR_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_24_P,-1,-1;SUMAR_21_P "SUMAR_21_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_21_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_21_P,-1,-1;SUMAR_21_24 "SUMAR_21_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_21_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_21_24,-1,-1;SUMAR_21_24_P "SUMAR_21_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_21_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.SUMAR_21_24_P,-1,-1;PSC_24 "PSC_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_24,-1,-1;PSC_21 "PSC_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_21,-1,-1;PSC_24_P "PSC_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_24_P,-1,-1;PSC_21_P "PSC_21_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_21_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_21_P,-1,-1;PSC_21_24 "PSC_21_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_21_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_21_24,-1,-1;PSC_21_24_P "PSC_21_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_21_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PSC_21_24_P,-1,-1;PP_24 "PP_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_24,-1,-1;PP_21 "PP_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_21,-1,-1;PP_24_P "PP_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_24_P,-1,-1;PP_21_P "PP_21_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_21_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_21_P,-1,-1;PP_21_24 "PP_21_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_21_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_21_24,-1,-1;PP_21_24_P "PP_21_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_21_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.PP_21_24_P,-1,-1;VOX_24 "VOX_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_24,-1,-1;VOX_21 "VOX_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_21,-1,-1;VOX_24_P "VOX_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_24_P,-1,-1;VOX_21_P "VOX_21_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_21_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_21_P,-1,-1;VOX_21_24 "VOX_21_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_21_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_21_24,-1,-1;VOX_21_24_P "VOX_21_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_21_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.VOX_21_24_P,-1,-1;CUP_24 "CUP_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_24,-1,-1;CUP_21 "CUP_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_21,-1,-1;CUP_24_P "CUP_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_24_P,-1,-1;CUP_21_P "CUP_21_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_21_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_21_P,-1,-1;CUP_21_24 "CUP_21_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_21_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_21_24,-1,-1;CUP_21_24_P "CUP_21_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_21_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.CUP_21_24_P,-1,-1;RESTA_24 "RESTA_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_24,-1,-1;RESTA_21 "RESTA_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_21,-1,-1;RESTA_24_P "RESTA_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_24_P,-1,-1;RESTA_21_P "RESTA_21_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_21_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_21_P,-1,-1;RESTA_21_24 "RESTA_21_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_21_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_21_24,-1,-1;RESTA_21_24_P "RESTA_21_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_21_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.RESTA_21_24_P,-1,-1;BLANCO_24 "BLANCO_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.BLANCO_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.BLANCO_24,-1,-1;BLANCO_21 "BLANCO_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.BLANCO_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.BLANCO_21,-1,-1;NULOS_24 "NULOS_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.NULOS_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.NULOS_24,-1,-1;NULOS_21 "NULOS_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.NULOS_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.NULOS_21,-1,-1;TOTAL_24 "TOTAL_24" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.TOTAL_24,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.TOTAL_24,-1,-1;TOTAL_21 "TOTAL_21" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.TOTAL_21,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.TOTAL_21,-1,-1;TOTAL_24_P "TOTAL_24_P" true true false 8 Double 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.TOTAL_24_P,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.TOTAL_24_P,-1,-1;Partit_Guanyador_24 "Partit_Guanyador_24" true true false 255 Text 0 0,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Partit_Guanyador_24,0,254,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.Partit_Guanyador_24,0,254;ObjectID "ObjectID" false true false 4 Long 0 9,First,#,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ObjectID,-1,-1,ADMINSIG.Secc_Cens_URB_POL,T_SC_24_21$_.ObjectID,-1,-1" # Eleccions_12M_2024_Resultats_Seccions_Censals 002 file://\\fileserver01\grups1\cartogra\0_DOCUMENTACIÓ\2_Cartografia Temàtica\Eleccions\ELECCIONS\ELECCIONS.gdb Local Area Network Projected GCS_ETRS_1989 Linear Unit: Meter (1.000000) ETRS_1989_UTM_Zone_31N <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>PROJCS[&quot;ETRS_1989_UTM_Zone_31N&quot;,GEOGCS[&quot;GCS_ETRS_1989&quot;,DATUM[&quot;D_ETRS_1989&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,3.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,25831]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>25831</WKID><LatestWKID>25831</LatestWKID></ProjectedCoordinateSystem> 20240514 08264900 20240514 08264900 Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.2.2.49743 Eleccions_12M_2024_Resultats_Seccions_Censals Eleccions 12M Parlament Catalunya 2024 Eleccions_12M_2024_Resultats_Seccions_Censals File Geodatabase Feature Class dataset EPSG 4.3(4.0.0) 0 Simple FALSE 0 TRUE FALSE Eleccions_12M_2024_Resultats_Seccions_Censals Feature Class 0 OBJECTID_1 OBJECTID_12 OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. ID_GRUP ID_GRUP String 2 0 0 NOM_GRUP NOM_GRUP String 40 0 0 ID_SUBGRUP ID_SUBGRUP String 5 0 0 NIVELL NIVELL String 35 0 0 DESCRIPCIO DESCRIPCIO String 80 0 0 MUNICIPI MUNICIPI String 6 0 0 DIST_CENS DIST_CENS String 2 0 0 DIST_MUN DIST_MUN String 2 0 0 BARRI BARRI String 2 0 0 NOM_BARRI NOM_BARRI String 25 0 0 SEC_CENS SEC_CENS String 5 0 0 ABS ABS String 1 0 0 EBASP EBASP String 1 0 0 LITERAL LITERAL String 25 0 0 Seccio_Censal Seccio_Censal String 255 0 0 Electors_24 Electors_24 Double 8 0 0 Electors_21 Electors_21 Double 8 0 0 Votants_24 Votants_24 Double 8 0 0 Votants_21 Votants_21 Double 8 0 0 P_Participacio_24 P_Participacio_24 Double 8 0 0 P_Participacio_21 P_Participacio_21 Double 8 0 0 P_Abstencio_24 P_Abstencio_24 Double 8 0 0 P_Abstencio_21 P_Abstencio_21 Double 8 0 0 Cs_24 Cs_24 Double 8 0 0 Cs_21 Cs_21 Double 8 0 0 Cs_24_P Cs_24_P Double 8 0 0 Cs_21_P Cs_21_P Double 8 0 0 Cs_21_24 Cs_21_24 Double 8 0 0 Cs_21_24_P Cs_21_24_P Double 8 0 0 Junts_24 Junts_24 Double 8 0 0 JxC_21 JxC_21 Double 8 0 0 Junts_24_P Junts_24_P Double 8 0 0 JxC_21_P JxC_21_P Double 8 0 0 Junts_21_24 Junts_21_24 Double 8 0 0 Junts_21_24_P Junts_21_24_P Double 8 0 0 ERC_24 ERC_24 Double 8 0 0 ERC_21 ERC_21 Double 8 0 0 ERC_24_P ERC_24_P Double 8 0 0 ERC_21_P ERC_21_P Double 8 0 0 ERC_21_24 ERC_21_24 Double 8 0 0 ERC_21_24_P ERC_21_24_P Double 8 0 0 SUMAR_24 SUMAR_24 Double 8 0 0 SUMAR_21 SUMAR_21 Double 8 0 0 SUMAR_24_P SUMAR_24_P Double 8 0 0 SUMAR_21_P SUMAR_21_P Double 8 0 0 SUMAR_21_24 SUMAR_21_24 Double 8 0 0 SUMAR_21_24_P SUMAR_21_24_P Double 8 0 0 PSC_24 PSC_24 Double 8 0 0 PSC_21 PSC_21 Double 8 0 0 PSC_24_P PSC_24_P Double 8 0 0 PSC_21_P PSC_21_P Double 8 0 0 PSC_21_24 PSC_21_24 Double 8 0 0 PSC_21_24_P PSC_21_24_P Double 8 0 0 PP_24 PP_24 Double 8 0 0 PP_21 PP_21 Double 8 0 0 PP_24_P PP_24_P Double 8 0 0 PP_21_P PP_21_P Double 8 0 0 PP_21_24 PP_21_24 Double 8 0 0 PP_21_24_P PP_21_24_P Double 8 0 0 VOX_24 VOX_24 Double 8 0 0 VOX_21 VOX_21 Double 8 0 0 VOX_24_P VOX_24_P Double 8 0 0 VOX_21_P VOX_21_P Double 8 0 0 VOX_21_24 VOX_21_24 Double 8 0 0 VOX_21_24_P VOX_21_24_P Double 8 0 0 CUP_24 CUP_24 Double 8 0 0 CUP_21 CUP_21 Double 8 0 0 CUP_24_P CUP_24_P Double 8 0 0 CUP_21_P CUP_21_P Double 8 0 0 CUP_21_24 CUP_21_24 Double 8 0 0 CUP_21_24_P CUP_21_24_P Double 8 0 0 RESTA_24 RESTA_24 Double 8 0 0 RESTA_21 RESTA_21 Double 8 0 0 RESTA_24_P RESTA_24_P Double 8 0 0 RESTA_21_P RESTA_21_P Double 8 0 0 RESTA_21_24 RESTA_21_24 Double 8 0 0 RESTA_21_24_P RESTA_21_24_P Double 8 0 0 BLANCO_24 BLANCO_24 Double 8 0 0 BLANCO_21 BLANCO_21 Double 8 0 0 NULOS_24 NULOS_24 Double 8 0 0 NULOS_21 NULOS_21 Double 8 0 0 TOTAL_24 TOTAL_24 Double 8 0 0 TOTAL_21 TOTAL_21 Double 8 0 0 TOTAL_24_P TOTAL_24_P Double 8 0 0 Partit_Guanyador_24 Partit_Guanyador_24 String 255 0 0 ObjectID ObjectID Integer 4 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20240514 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzUvQeQZFl2HXYy86f3Wd6b9m56psfPzs7OLrALYFdYAAsQhtQC wZBIBQkpwGBQJhiiJIoUKSkEQQCCkoIUqSAIEgiAAuHN2tmd2ZnpMd0z7bu6qtpUlzfpvVOc+/7L /FWVVZVVldU7uBM1Xebn/+///95915x7rjG/9LhuOAw4DRdssGFXMf9cr9cbx/J72AG73Q6H3YFi sSj/UorlMhx2OwyH+plSLVdQns9j+lfex/IfziL28iBO/IOXEDgTw1GK3WGH03AiX8jDbrNv+lut VpOxet3uIx2Dvla5UgaHEE/EMT+/gHQmCZvdgUq5jFQ5ibqzjlOjpzHeNw63242Hiw/x2Hsfnh4P Um/m8LmXflCe95OSWr0m795pGKhUqqjX6vI86/y9zIQ95o0p1VoFpXIJNc6Z9j5yKOE8dBmuTe+b 9+J0OuFxe2CzARuJBNbjcXjdHoSCQfkd74/HVapVOB0GHJb5K3OfBx1C5Bx2c/3U9ne+cqUin3c5 nbseV61V4XK5UC6V25orddTlPiuVyrb1sdPxsvZRl+fJz1GcThd8Xh9S6ZT8zTCc8ne+Cx7Duc9/ uQ54Pa/Xi1wuKz/rScHx8jOlUsm8hnpmTqcBg2/Ibne0PemsD4QP2jAMuYC6IC9mk5PzMjyjXb+M eh2l1TxWv/0Qj//FTSQ+XJZfb7yzgPjlRfgmw7C7mxPjIMKr6vvghJOlZF6/yslnOFu+DB7jtEzK oxKO4dHKI9xdv4V8PQuX3w3/hA/BPj+qpRoMtw8xR0Am8crcApamF1EpVeEctSEyHJLvDbeBJy36 mVXK6p1zsclzttkbE2qv91KpllGpVlDDk1FWHDM34lbvW8/ZQiEPn9cLj8ct85MLyG5ziDKWBVat oFQsylySfdnGhWTIe6zW1Pzav1BZqTmn10y7UiqXlbJyufY8lmPjOA2n0ZYS4vE1c023JXXTWJH1 Y4fH45Xr8VpqjE7UanX5uVAoyOYmc8cyDh6fyWTg8/lks+b96d+LkjMVqLqGTTZLgxaQow2NqoU3 xfckA6rWUC6X5WR8INVKFXaHQ37PN0zLihOjmi0jfX0Ns//HFaz+xQPzAdnhGvAi8lwf/JPhxo5z GLEqK3mm8pCaioi/dzjsqHJ81s/ZbKJg+YCpcI9KxJKrFODv9iISCcrikBeRq8Idak5CPovIWAgY 2/x5p9dAyZNCPB5HLBaTl0mLlruW3JudC84uL5qLki+9k5aYnszKyjB/t2XRqs3KosTqdVRqVVRq aiI/MaE+baFQ+DuOgxtuLp9HsViCwzDg9bhRq1ZQR1kWDEWeo8MBt9PTUDBUYnyu1WLxQMPiE+B7 EmVF3b2HguBYeSyPc+1hVVmF750bH5875wLninUDby38e3tWH//uMNcW56C2PPkvvRg+Q60b1Nd2 g0AbNvl8XjwJ3p3+DJWc1+ORd2C1tAxe1Kr1dhI9IFFAHIyYmo6G+6dvgjdL4UPWi6W4lMWNv/MG snc35GeHz0Do6V4MfOUEer80AXe/f8/r7zo20yzVll6lXDGVk0N2QlnIdrtYe3W+yMr2nYTjrtar sNuPzoLhGPtDA6gsVpBfLsBtuGSMc4VH6HkxAodrbyvPO+zG7Mo00tVeUX7JXBKFah6VegUuuxuO uh1Ohwsepwdepw8+w4+gLwi/339oV2a70C2wKDIu92pZlIFampsn5pMU+w6LU1wfKgxutpUKUpks DEMpJrq8XNS0zLRwcyuX8+oHraTFs6ALX2lr7Viv3giltOkKcj5zDLzefqXhXVSqMs/Ehd/hRZST RWRnErJhG1EPPAMB2F3t3ZuytpvXpAITq6miLKadhGtTFLdDhZJoDYoby8/VgHyhID9TmfFcnGuG VeFsleaOKLNSrBP1+9a716aB0MQ2HxgVUuzVQVFY3vEQBv/KKXT9wDDCT/cd2g2kaC0uN20Yphlc hkElJorThlq1Lg/C4TA2uY5axPLap4l+EImEI/KlhWNZ+d4KipkSfDHvnp8PDPqQMTKYSqzBHXTB 1e9CwO+B3bCjWq6Ka1nIZ5HOJ1BOl+EueRHMBRFJxNAT6UXAH+iM4pKtWN2BFlofdP2etHLacU7s MEdpwXIRc+PlPHU5XRJr3Um2Wqm0Ahh7EUt9XzdregBiMW0OYVhFWYBmiIXhCqdx4HdmM5UJFbS4 8mbIRhax5dq5mQTu/ffvoFaqIfbpQYz+jafg7vPt2/JW/1LJVmUtlkWpq7/zH2WpamvJoQwI04qk EcRN3e10q1hnrSbWFZUtfy9re6cdgg+TO6XH47H42nv73dVCBfm5FBx+J1yDQfkdvx//WxdhM+yi uHq/MAHaf/vbndoT8dfp5jrUS9a+r35hDFW1miTKOnvyS41j8Xq8KJdz7R1vtyHYH5CvreJwOuTL 5W+6DvVqHflEFo830lhbWUUYEQTcVFpmXKpakd2wu6t7P4M2FVUzHkXrtPxJUVbaumqxxm2bkh9q MbmcKqa1n/PTuuLOT9dl37Es0RXUWK2fFpVo3fRQOuXS27T3Y2MMzS7XsI66mqsgdW0VlVQJzogL tXxlX+fefG92MR6o1DnPqOCplOiR8ZnVqlUUSyXlVpoGExMcktCR4LoK1PNzysJkqMkOJwwY3BFl cVMZmbEfxkEaPqNhmEEzlRXgrsLdaGvMiQsjfWsdS793T+JVfT9+DJ6fPgW76eZ4x8M49l89D2fM 3VQQVCKd2O3reteyNb6XTE9VmZxacTUfaOuHzgnM3exJS8AXxGqRWZXOi81hg6/Li1qkhkKygNXk ElYLnCiMOdbE7HfFPQiHwjJJ2hEdwNXZYs4bWq9PNEa1m8j73VmN8PcqxlKRXZ5zfF+nl02wIotI WRHltjJrW8Mrer5af8+FK7FfuqcdduFtZozJdgTvSW8S2vmnlSWIAcYA3W5lzXJdmtdmPI73qkUs XPNvkkWs18QdrEpmsSJWcDafg1GqlkEnybCrjEqdzqPldesovbasRAFYzGT9kLNX1zD1372N9M11 VNNl2D0Goi8MwH8yqs7nsMEV8zRuRmcNOiVKg6v4mhVysS1WRTN8y0SxylEH3ltJwO/HUulo3VEu LrqctXAdtQoTJzYYNe7gNpRW8piZm8bpyTPtnYyPxzTv1ftXaepPivD9KwXScmeSL72j68Duvq9h s6FULMHj9chVSm3CB7aK1S3UFl/nY43bE0zKwGvtknbCFeeZOSd0LJuK3e1yi9fGbOBWl10jDjgm yRZWaW1BoEZerw/ZXFasTkNPON4Fg44025SP29xJdHpRTupQmS0t4mfmipj91atIvLvUeAG0cHQA 3ipybnlaNjgMh8rIdEDh87wSZLdo7e0HNV9SqzCwihXgiQh3n3gyjlg0BrfLg2Ky9ESua3fYYLcE lSlGpIbE2gZyuZy4h7uJ5AAZuzEfFBWeBEXpQnwCDCztZuxq8dSVhUWROX/Q+JCZzZLF6HFLvGUv BSDrwxza1sA7N0u36+gt/HpjI2++MGfU3fCGauUaqsVd1lEbopEDOj7FZ8N/acVrb61V/FxnQ0vl ilhX+XodPp/NXNsVyNMRpVWryECpBcXIMu+HMAYPffViQV6sAgxyRympXZonKlUlE6iVgLPLjdCF bri6NweRZfBmpoI3Iy4h8SLMzh0mnmWrN1K37QjvQWV4tgbeVVbRCnQ9CmHa96PZK1irrOBE+jRG B8fgXHSjRhfNeHKA0IaYpnw7VpIK4lotWDvKldInQlnp8fE97mSlaIUicRFz5z+MRaPjWdx8qbi5 Ee0FV9B7tvUYhlo87r3xVYcRDTlRGcPN1pWNCTVzPLViFbVC+zGsdrKHvJ6OZTFjnc1mxdraSWm5 XUqx5YmDq9UQCAREDxmblAmUmyb/ao3FBLHNLoFhHXcqlorygmjCVms2hLpDOPH3X8DN//xbKCzm UFovYOF37iJ4vgu9X5wUd1APhP/RN1Uat6oyF9q3PvBOp8bITOBe5+D4ZZLS7du6yOShqrhGp0Tv MFqZU2ETuV7rLcFv86IWp+lb2zMF3Gkp5ctYvrWCQG8AkaEQSv0FTC3ewdnh85Jo2UuUpawyrwJo /ARoLA1J0PigHQ6ShUlrRsF0OoD/symQJkWhvsstFbh+Rlvjt2KBlEvwOvZ+7gcVAVKbBgZd4a2Y LNNTVr/nem3xWBgop/Wz33XaBJgqj424q2AgiEw2s6PS0scztkU9Q5Cv3x9oKiwtPKHb5ZJdgDsG T8aHqWNE+kvMOzNYyYtGPj2IC//y85j+x5eRnUoIviry8kBDWWmhJcVr6LIBmsUE7mkg3cFEmZg7 pYm3PjxdFrDVymL2pJOmAq8VT2zg1v2bAp50G25xO/PBLNy9TmRu5jAwOIiZRzNwTzifmHXFca1N byA2HkVyPgV/zAtfrwfZahp3l27jRN9JeD2+BgiwUGEmDDJ+xhOICdJZxlwh30jWfL9FLKY9cHTK E2LyqNpRFauR5UoJqtBES+CqADM3x28lqNwGev2gwvejEwtiWbbwZlx9fkRe6IedGMkLPXCa8War cL1TadHSaVtMkLGO82vlnsqkEPQHZX7tFktT7qGCO2Qy6c0KS/v+tH78voC4gfQb+Tq0SSc4Cbdb vqeiElQ7xQ6Enu/D2V//LOLfXUDwQhdsEecmAKnsMCaGS2dZ+HkVJ1OwgoNYWaxX2k+mRrS6icK3 ZrZkUYqyPny9WD6fw3pmHQ/W7qN+uoJQjw/FTBH5XB6ekFuBROs2bKQ3MF+eQ99oF56UFNNEd9vg 7/LJ+0gtphEdi8I34EWqFse91SkMBoZQLJdwe+kGit4CbHUbwrUITvSfQsgXljIn1gZSEX8SRKwH lpi1895MyEPHw5Wc3pzD4jW03vvURknFZn7ErAvsdKC9rjdvVqWY60Mh2Vtfxxlx4+Jv/LAcv1N4 heuFY22W4e293ohAcLpYzqTWuTXskM6kpe6Q65G4uFbSiGmVWINYbSosVaSsM4VM8ZdNhKlD1VIR CV6tijLjhTWQS2qHtCLipDkWReRUj5wzl8+hLIEyQ86vlZeq81M3w92IbphyMQ5QXNoAo9XaVliN oJ+JVm6FgdHW436F502mkri/PoMl2zwiJ8PwRhSS3xvyAKHmsaFjfjxcmEX0fEiU95OSzEoGHo6F Y4p6UcqVkFnNItQfQGDYh/RyHLdX4ijVy4g9H4LDHZX3W8qWcPvhDQzmRjDSNSrPjwGET4I7yPIy RxtVChI+2AUJfxjR1oPTwTo4Y9MiVLEjVRZmBVrSutqayDqM1K2F5aZS5prlOmtn/JSGt9NiSDoT zywrla9AnHYZO91j6hJmY4nLEkCoCTfiWJm0cLtdsBHsbeoBdbrNGUTqGYF86F8YdmfD95cHX1G1 QDIoxnRkPSkcFk+qgGEeMWU5ACv+QqeJaTqWkiVk76+jmikj/FK/UlzmMfqZ8HvGsyToLS95fwpL sQbs5yNqYol7a1p5VmHgvf2qrc1CJc1YUHEgh4Hhvl2P9XZ75OtJC1H1gV5/I2sY6PaLwkotpeGN eOHv88PWv+VD3KkDLjhOOLC2uIzaWhX9kcG2sVtHKSo2s7eVolkSrIv6KKBjAv2xM0Gl1pE2txR4 s6mwOM84BzsFoK7Vm96MbOKSzaWS2UdMto2lp5MaAlvgBm+6wi3hIWYciseVCwX1ebNUTpcqCSuG 0wmXh7grxQbCNS1AbjOuJjqC8Ct9glaBL7G2GBA0tSknRbWqij5VoJzp+YLCj5iFk/quGczM3Itj +XdnEL+8IDf39G9+EVW/epEcjPLzVdaO8SPuSvyiMmzHWuI5mdUsl0v7zjJqt5QPyqqwFIANBxKe b27tEco9BQQG2itr+H4IM0JWHe/0OuHv8SO7nhP3kBPGcDvEZXT5XJsmMV1Zdz+wsbyK7EoWQ+GR zpX7HFAk0N7GouSmagc9CBWP1UXQnRW12Cpk32ApCbFF5u8l2M2Fblr4Sll1BglVN+9JFDJB06Zi 1BQwjdAHFdhO1S0sX0sUUFrL02SFbyS0Y+mcjmXLMzSR6pplwVpbqvFVXBs6MVGul+V38s5YuyiW usqU6jFKOQ69r5JCu2uXX2oJacLuPOGIp2hm1KxUMjIoPvgW/FL1ug2lfAnLX59F8sMVOAIuZO/G EX6218zmNR+cLokRBWI4JUtFWg+dNm/5cHldKjoz43MQLI3AOYQOgw+kuTMJ7MHEn+1nIS6tLmLd WIW737Ut2fBJEodhFwjFJuvJ54ThCor1VSlWUC3XkJhPCWSF79wTcSPYF5TNxuF2wD1gQ9GVxezC PYzXjyEUCH1flJZQvtjbtPIIp6HrbcJqKLocpN1C5IpUUTBkQKS2isno2E5TlLtJHJHe+8SikMiJ 2qgFItRJJg3YmkaGXeOSmhl47c5w7KosZwugulZH+sYa7v/aFRSXcwhf6pV6Qu9IcPfraoopXcgs tZYqPq2ppqzKiiKKysTC1SsKlyZsL6bCUkF6pWcaQO9m0XlrzqBW5iYnuZVQS/27+TjtGvIS3sEA fMcjSH+oXML1N+ZEYW2dHA1aGBNgxl3C7fEowq8dgum8PknYaOEdFMOlOIC2I+5VIklNrHbLNnjs enod6K/B0WaVu1VW5lbw8XevIxQLIRDxY35aWaXnXj6LuanHKBXKGDo2IOU0U1fuIRgLYvjEEGav 3xff//nPP4veERU73EvCg0FsPEzA373ZCmSW0htRLirfdblAxVXly0chU8LCtUWxzHhMeCgEb68H RVcJ92bu4AROIxwM40kK3xsVR7uKsgFqFvCmmnUqEMz40uZz6MVHhSaMHxKvUZu3zdzIdPGujl3R yhDlJQkdKqymS6OtHkV02Tk3cJNQCVABm3Weam6bG7HpAdGTaZSCWkRXf2y8tYDSSo7FoSj9WG5P haXFWvfIZyUklYSZODeDublWN70vM16lMqzNZ6IU62asmlJYbdKpNBDxkt5kcaKigtAWF2NQylLS wLQa7D4HvONB2EMO1FJVIerbTazUGwzGCTOkx7MNjCfWlWGiaKuHK6VpnXo2feY2Ahy89/nleUyv 3IVjyAZ/j/dA3F53P5xGuCssO1Muk8ezP/gM3v2z9zH98axMwvEzo3j/a1fwE7/4o/CFvLj5zi14 /R48/Zmn8NEbHyOfMdPDbSxeHXBnbaEn3DqGxufrDpip9jrkuECPX3aoQqqIxOMkQv1BuKNuOM7a cfvWDVywXYQ/sL0o++hLcJrCib+2tibAxGAwiEgksinO1ohhmd9TYTFtbq8qhLyqi6yIUqHVJCyX 1to/6/WtC4z8b2ZcihktBthZiK6TOkXzd50saN7b2jLdOa00pY6wgQnf+iEYYZcoKCqscrwglDMN lOs+hOtRW5y0mhhop9vXanOR58bk17aqGGuIqSltaStW4Yv5SyVks8Pn9EnFNdkCreA7BRWgFlTM nqRd7n91Aku/dU+qwNMfryL/OA3v8N5amw9YOLccis2AN62ZE8W6cnkEOrCvgOI+RBGg1Uw+rdYW 3trGKi7fvQznsB1dz0bg8Bw825NL5RDti6BSKqOQLWB9cUOCkE43M052BCIBpONp+Tm+TN4iO3qG unH3wyksPVrByUsn2r8Y6Y69TnH/dlJYW4+nAnOZODFuEumVLDYeJNA1GRV2iMjFAD68/D6eHX1B kMxPQqhgtj7v9fgarsx/AHtXHdV4FcWHJbhyHlyYuIihwcGGhcXn5/f54HY7JQam8UmGzeTF2rKz 7yV6k9OBZ84bQcCbhJZkNX2yDrNt24JvZNPFLd6+GTt8TvgmI0h+uIxSvCiKS1w25/5Hrp8ZlZHd zhpC5Z1tf5bKZWw30barwmK5DtkcrDxRVFoKm6XKdsQfNhHsNptG+yqkPHFc9QEnbD71EssrJeRn U20pLH3TXBwElxFiwUkm/DiGYmwka+lRCpUypZXCYrB2Jb2C0FNehAbau5/dhO5cfDkOj8+D+HIS 6Y0Mzrx4Wu71+vduILWeQs9wF+58MIWHtx/hcz/7OjKJDLoGu9A32iuFuPuBhPBYZgbjjxLg6+2e jCLYrzjNd5NSrozceg7R4ZDs0swshgdDcHoMdD8fxcfvXcHF8Uvw+45WaamNUsAJm+/LVocz5EDs jLJWtXt78/ZHuPbWRzg/8RROnzwtSkmVwqgguNNM1+tzH1Y0jIchhVK1+ISV1S5iQoea5APNkTm8 BnyTIXmmVFaZu3FUsmXBaB1GtFXJ51soljbR+TDJJu53mw9om8KS2E29uk1RWYW/J+CLlo+UxJjs CxryoOAJFTG5PX1+BM93I3cnKdo0eXUZsdeG2r5ZPXm0i0gsB8/PQt2jDvLqyvZWwoe/mFxA7Ozh lRXlzAunRBl5/B50DyrFRFfv/KfOYfL8BOIrCXzhq5/H/RsPxEV8908uY3ByQCyxoWODGDszti9X gzGojQdxDJ8ZFJOfiPfsWlYgDjy/ildu/kytXJVMojvgho+gU3O+pBbSCPT4JPtojNgxNTuFi2cv HqnrI1TQrWh3aT0Zm+Mk/HngQh+qZ2q4/e51DCT7EQqFpPHIytqaKK/uaNRcVIpF1AzzHmqMgh8q V+B0q6qOrQwF3xepm26xmUezjkaYgJ/qgbPbI5nC1NUVFBczh1ZYjfObsT9dEaChFzqz2c6jMXQz CcVrRBK2yp6pXrqHpHvQcStVma0I5nWqU/BVDDAG7Ii+PIDiQhah092IvDp4oJuVkh5SHxPKQBKw fQBFDyrkp99JY8kzsqtMZSfEY8ajtEycH2953PlXzsrXYcXtd2HgXF8Tbe1zIhfPy7+0vPLJwuZM IrEwTjvCw2Ep5dFCBcd3vTazIdYwP1NLZZBJZxAKW1CyHRZRhmTSrNWwkVxXSaFaHevpNcDV7Eqz NTvKoDMTOZlsFrl8AYVCEQ6fmvsUliSJZ0EKlAZ9mrXYu32FozN0VFbSA0FirocpQeuctPJOSLDp Gw8hcCqG+Noiiis5FFfz8J+sdyzr3bC2aAyZhIIuh7PtigmjWCHmScKX8tLaCTRLqx4oC6rZ+EEp KWI5KAzIs+UP3+/wT56SIujIRJcUPh5UtEbWFLNHLY0SBGzfyaX5A55swfJRiWxYdhvKuTLSyxnB XkVHI20nD/zdfvmi8P2kZ3JIZZNHprA0dYkOO7z18Ztw9jqEZYTxlqAJim352RphKyrWpLFb0qzB xASWbSpeS6tL152qjJu5LtpoHLF1rOJiFcvi3jfB0d8nsel/CXXYfh+kM+/78iQ8Y0EETkXhGQoc SZcj6pySQIc0i7HutLX7xYQPqypKan9ocSk1tkT21Uu0FlYqsBp3MATsMAKq/lAyAma1+EFEm5S6 9OEo3UIG3UVaIHi30oP8ZRaBMOQrjffpiXgO3MWIFqen14X4zDr6Sv1wujqPhOcc0/NMYC9+G4Ze 7G/vszXVVcj6DnWHGf5CsEHMiBPOIQBGXeNqaWG3T+I7qf4wExb7ZSftlNQtmU51D631EN2/ob92 BoP/8RkYfkXxchRurKoRVPEr4rY0T9Ze1mfH2MJ0qpjxLxX5VynM7TgKJ0qFLFCowRE42GRmVoFw BzHbd6MSOaTsFoMhwj7kDElBM2M6f1mlUqxK4JxKyx10K46zQ/Y+NPwGCpES1uKrGOg7WAhgN9HW 1aExS1Izp7jGdVhDSmdMyAOFuDddr0rRjRXaYQaRy5g1q1KLWzsk79shynU0ZMNKztlS2PfAVFRN 2aGw8JCiM6tSJyg0yCyo391lPhJ6Q7qHwg5oKIUkPfIEGVxGOVnF3L+4juJSDsM/fwb+E4pCeV9i oao4Stnt/C6XGz3+PjxcmIH75F8+hZVdzyO1mJKANNkjfFGvxK3MBkmHEloTjigD+Qn0lHuli1HH s4OHGKRuO6ayU6obVBPQuHm1NLB/rG+TDJuCKmhLbLdxCMbIaXxflFXNzAIqJaD41OV+2qSp0JYY /83c3ZDkmRE+mnmuepmq50nFuhtr8JHxsTKI5rK7JJbFCVEqFVFKFXH3776JtTfmUK/UYDNsmPil S/vOQujqbafJqXVUiqvRaqmFpcUXT36oau6TQa+yX0k8Tgjwk3gs4qi4qHLxOow2eiPuKSz1CTlR SOWwFF/EUPdwA/tT76A7qGOJtn1MHwfMwluzoYrUsqpWzGroOzGVWhQXvQjlKioWk1af+X4rK0Ni cLrRsZkI2+c6YSedje88xty/vIGuz41i/G9fPJLxSlmd3S5xRJfLIVRGrejVj05hmRQttCrZ7UJ1 gq3B7jUQeKEHC/9+Sg5b+v1p+I9HMPBTJ/fdn5DuoM/vl5rDI3ML90xAbMax/GUStr2nZUWFJT/r luBmNogT/MNvXEFyPS3Z2cnz43j/61cQigVx+rmTWJhdRDaZw+nnT+L+rYdYml3C2JkRvPwfvYR7 V6dx5Vsf4Qt/9QexaluGP+XHQM+gpQEJqbLVwldxwjZ3fWYqt7iDYjnsQxcYUC3QhanbRHHrMp12 pMG0YLqKja7KVm72uqo11MXVTxrKYDetI2Zt9YM9yKa+/B+mcf9XryJ3L4nCfAZDP3uqJbFfJ4Tj U004FN2OJPVaPLcjUVhmxzrVmr2sOJllUHYber84gfi35rH65w+Qf5DC1P/4LkqreQz/wjkhwt/X NYTG4+h2LrVL7eJ/c/F8Msg29y3VQrWhrCi6kJyNWCm5dB4Pbj0U7Nfv/frv49nPPY0f+uoPiiK6 ++E9RHsjiPVHkFxL4qUfeR4bSwl8/d9+A8efPo4PvnFFkPlMrtp76lhaWEQoF5YCaf5S5kOtigf3 H0joYGR0FC63q1H6dVTuIAu6UVNZO4U1ZO3fwYqQtctEhcREUtlShaHKusxs9hNWVnXN81ZhcP9w G3nwXDeMoEs6aWXuxFGI50RhCT06abE7SI+jM788L/mxpMfAFtqnI3UJVUq4ug0SwLTpqX/4Cmrx EjaMltI5AAAgAElEQVQuLwqi9t4/fBerX3uA0//kVQSf6mkrQyWp4jLxLS5BeR+FW9hsrNq63jDo D0lPv0qpAuMJdDvpiJiMAVt7COpYVnYjLyU7UkRrdjaiFVLMFxFfTcq/ROVzMtnNjG+5WMY7f3IZ r3z5ZfzJv/pzJNdSYoEde2pSMGOpYgpz8YcYd0zKhLx262OsV1cRPOmHJ+jGg9kZREvdODl2Cv4A GShb7wIqiXPwxSHtzehukDHB5HsTOpQDnk/xW5FeRcFsNM+bwCDa6C9wJGLj/3ZmOWlXOD/St9ZQ XM7Kz0bQCX/IL+dvdFg32Xl1veRh75eKv1ZXSmunTeToFBZfGv14Vq1bwjy8Kc9EEGf+0au49U/e RvL9ZVSzDMYXAUEo78OEpDamwjqCLEYDg8PUdgufg3/PFbKouFjv+MnkvuKiqZZIn4Mm3qhQEYbR Vl2uPWE3yvky8ok8vFEP/GEfEqsJUcYbywlMXZnCZ77yaUHXx1cTUnAd64vhzd9/G6OnhzE0OYi/ /j98VRTWR29cE3YJCgkBl9eXkJxOImFsoO+1boTcI43rsqg6M5tDupCU7G+hlJcFJx2czNcqtakO VaN6GNFQBn33UqTcDpeW2TNAj2Wr0qKlz7pXAfcwPvt9gC40ed4Ufx0D2e2MQ8e3Gpn+Wg35eA7r HyyhNK9wk70/cQzVkJ1Yaam9FAZa3b1ZSuVU0FyP4aDCjZDrOhgIoO7YbmUdqVlgpbfYiqgNvdyP c7/yOub+9U2sf3MOvT8+CWPAuy/V04D5H4J0b5eTb6NqbSWcrEddfX8QIUyBiPX0crZRE0nLlTV/ Lr8LI5eUMtn6PNlFJz6XQDFdxks/8gLm7s7hB372syhk8/CHA7j13l1MnBuDy+tGuVgSa4uKa2M5 jo+/ew0v/PBz8AW9OPnscfhCZvkOJ6GziPpAFf2jvbKwt4mvjqXFRSwmlpAsxhF0htAfHoDLcMHv 9SMUCLelWHYTUSwma0GDBqnxnvcWVcWhQI5bKXwpXMh0axUe82jwS61EZzetRjNdfE2QuZtoIk3t 5unMYmU6g/yNDdSIrYSBgZ86IYX3VmlyiqkYnrD3mrCEg/ZF4AaiecboPRFobn2OR+sSNmgt6y2t l8CxKCb+3iX0fGkCnn4/PFHvvjiotFvIAKfW9p0S2x6lObyWz+ODUVaMpd+XfoLmIpRyGFYAmFUG lHw8LxirgfO9+xoblYk/6hU2hshIGBet5ULnWpcLPf+FZ7f9jnWOWkhHQ2wXi6RbKiuWxMQ8yFSy MLwG+qJdKGXLeO+tdxFwBTDQNYCh8gi6Qt3bustIqzijvfdOfi+Xw9dwifcbE1N6wbbjeygWCrJo VcBd1dbuFxm/m9RNvnOp3zXJ7VSJkqmsiF43KXesbcR2E4EQmDkPeisitTqy9xLIP0rJj+FXeuCf jOx4Dq24qiYAVPeAkDHv0+LSPGOsuqEHz/OVZW3bn5SFZTY82xIzkUwKyfq9TmE3pLAZa/z6Crpf HILLJJLbTbQ5LinzI9jMGpzYLUpzzBFItkkYT/d7biqZSk0CwdrsJbsnz0WLRLJQ2662g/40kcs6 PqUuUEdkNHIgRcpgPJXd5lrCgwstYE3Vu5OQejk83CzlcQdd6DvXI819y9ECphensJFdR9AII5PM yM7b29uLVCqJe1PTWMutYvzsKNbm12W++UM+FHIFoeKha8rnOj+1iPy1EmKhLvT3Dchx2wjldrsP vu8dXoKy1NQGx5hOk0JYMZTu30U00egWK98uTYxNZgMLY2+TqXPHGdI8qwnnUMkBov6383PxDP4T EfT9xHHk7iXQ/cVxuLo2N0VuJQTgCoMrudeJVZNmMxb+sTYXqYoDspypKCSdqkO8OteRKqxmY4oW LeuFaL6uNGi5jNxsEo//nxvYeHMe8RcHMPRzpxF5vr1yC00528mGAroEYzehi+JxeFBKl2B0eVVc az0vMSApdWEMj7iSRoG09XxmqylrNYDlfdJCEv50os93EaEsJueQ07FJObG4+aBWXzsTfz/i9BrI rLAl3P7OGewNYPHaMrqPxVD2VbCxuoKZmWnMXJ1FvQR4HF5MjI0LxS4JDZkQoMIirxgfJvnClh+u CL/Y6OkRoX7++Oo1vPbKZ1DrNRugtOnON53IvUXzTulYmQAjZWdrz9rS806wXroUqPE5W6OBij62 ZVzPbKenj9F9GDXkQY+z1XgYOoi+NIDguRgK81kYEVejjX07966avKj7VxA3xS3XrpvIY0pmwXi+ UBB+Nc3OcqQKy/SsTetq80A117Mg4NcKmPvn17H4O/dQSRaRv5VC9Pn+thRWo7aQJRMdBJFqn3y3 WUrtPxQexoPlGVRDKg6QXEiJMnb6nGKpSA1ZY0zNkwnntcMmmTbdx07Touiu1IbHIW7UX3Zh3Mzw GCimCvJ9u3WKPJbThq4cv3cOB7C0uoxaTwW9/T24ffkuTp0/hhO2Y1hYWFRdxT1OxPqiorh6hrvx 6M4jhLpCGJjoR3I5jQvnz+P48eMQo0RjsPaYM6o7TLMbVDvSOKcZ/lCNVhTdzE4xT2v7Obmu1TKp Nz0WUVB7xInU+lKwDX3eZiPkvRWnGBNhN4yQaqq833icPr+uwxQrex9KSze75YZCGnSuNVJMHbGF ZcmutPDlGX8gXjH19jLWvzEnysoGB0Z/6QK6f3Cs/evwoTCO0WG3kLsRzVprM1ircAJHgzEsrSyK leWNOcStI6FfoC/QKHg9sHwCaEg6IVyowR4/4o+TcIc8QmHTrrhDbomBaeXlj/jEXay76wgNB5Bz ZPDhN6/ilS+9KPNrfWlDmBG4edHqCneHMXF+TNzut//oXfzc5/6q0BPl8nlZzFvnZAPsqUt22FFK WtIpxbPfYmCNMtcxJaLfVShDsdk2ewuogn5N26zHZb2WbRtF8/axawUhtM+Ndlqtj9913HpTOYCy 2nQe0yXU3dbbLR63dphn0sjhMLsQMY6kg5A6SL6XK7Rf0eG37YO0CYYpM59EJV2S30Q/3Y+xv/MM nO1Q95rV74lkEisry0hnUsiX8wIKJB464AmhO9aNwcFBSZcfGBy4A6c3hYH3mKsLixtzcIdrYlk5 3MahebJobXHyCWf9J7gDz25C5Z1ayiC9kpaYGJ8fiQP3I96wW7jnNWVM73CP0EmvzK3i/CvnkMvk kFhN4uM3rwtN9OCxAZQKJXEBZ67dx9zUvFg1ExfGcfzCBObLj/Gn7/+RuO5enxcBZxABTwDdsR70 9fUhHArDZVf1d9JYoqI6Jmu36yCLd3Pj1HKjXlPV1yo4gGTYiPyv7NyGayfRDVklYeVgazGHJCck 1LVPj6O0nkfufhKB41EYEXdHAEOKjVhRQ1FhEyy8W1xPWYOmZShZeIck1UgYaijEdtPUlewGX5au 7O7AYHn+ZsZwy98JWBwNwhF0AWt5ZGcSqJVU4G63ycGx3X/wALMrM8h5UohNRuDt8sItWSD1kCuF Eu4vTuHjj66gzzaAp85dRGCfTRIk47IDkJFCrd8d6kE8tS6ZLTYeUOUmh3vVls5qn0iRrFimhHyi 0EgakLmCsTt2iJb37naItUmiQMbjKPuFgBADlivlN/08+dSEEByqIHRdNiVab32TPVLErWM142fG GmwF/Or+2S4ZF8e98TCOvlM94n6R9vn+4l28/8G78BS96PJ349jkcVFgh4VStFoLelqQ9UGj0l0O l2pe0eb16nVShxfM8jdDoAh1CwjWdsB3mrq6ipu/9G3Y3HYM/vQpjPz1c3D3dYbuWmMnxdKyqYLs VvNBlTYZYgXToNLrsFQuwuCOQhI0TjoqKuoVMSXhQLWmWiAduGRVKDy4s+6u6UkU5u71In8/idJC Do/+7+s4/t++sKknWeOU9Tqy+Sw+uvERUrEN9Hwqhm7vZppi/QlnwImuE1H54qT87kffwrAxhhMT JwWU2M7i0ZmU3SToD8K/EUQitaq6+WhWSdshm52aXXDZ1PJJC4P+D5bSpqVovX5zLrBo2hclNbLa PYN9Abj9bjjcKhYnJr1ZV6rjctJIpEVmaiexG6p7sk7SUIqporQpI7sE52toIIBQX1AUJRlQtUiD YEuGVysDiRWyJIf/Gja4Qy64Q13IbGQRHQ/BGQSu3LuM0psVDAaGcWziOKLhaMumF4cR7RoyPiPs CntMmFqtJpzoFK/HDZ93c+busCNjo5j4OwvCDiyrvlqXLH4nRfoPmsBWu8uuGs1Y5gL1Ba1DoZsx NkNY+K6NVCqlWhkZDrgdzUWsg+L0relr04zTnS+0C7mnBdbmE/SOh9D9w2PI3U8hcCKKkb91oTEG Cs1dXeqzsLaAe4nbiDwfwmBo91bwVmHcpP/FHsQXV/CdO/MYD09guHdEuOn3Wjw0tZn14HNqOWEZ opMFpe65Ex61tDmn99DGyTgB6AYxsMk+cLl0TjJTvoBX3CGS0RH0x1gAm9u6vC7pyFPMFVEuVQTg aVXKvKY36sXQeLTZ6ssiLMV5dHcO84/mMRIZRmo5jYd3HgmglL0Sb373tjTToFsWX4pjeW4FoyeH kUnlhJO+f7wXF197atfnLq54uSbI/GqxivX7ceGTJ9SC5Tyx8agg8/X7WJ+NSwKjHZF3RVfbGmM0 3yHniSfgxvAzg6g/XRd39L27b8N734+xvgn0Rntlzqjs4uFUhA45qKLfZvau1bOg1Gp1UVRHVfJT Yfu2D5ZkfbsH/AicjEpjik5Loxkzi8edhuK1M/FwguMyGYX5Oym/0zqJcAlF1UJfnb606rYsgDQJ OqoFSr9YLBLTPSKvlTAFstFppdzSApMd1gy40WKr1XYubKVb2P+TJ4TOYvgrpxAajEi9kgp0KtbS 1cQKFtJzKEXy6Hk21nAx9vWgHOQkDyHQV8XS3GOsP17DaGQMsWCXTMKdJoKQjJnYlb0mi6SizQYO h55Wu0OX1CH1Oh7dmROlQOzW+NkxXH/runxPjvjlRyuiwHpHeqUxyIPbjxDpDuPsi6dx7c0bEqB+ 4YeeQzDadJWpKLQV0kqYgSNcgDz07JtIZXTx0xfw+//nH+GlL74gStHtdeOdP74sRdI87u6Ve5j5 eBbP/sAlvPPH7+HM86fl91bRzVvZ7ILjz5l1jXzXROfHxnbGlbFOkBZfuw9263vk9RiEsNLr8Bhv xIuhF73i6t5/MIX5h3MY6xpHLBBDwMcuQx1QWsK1pXjopZtNA7emhHEuirHPTuT7Elq/6RLyD9Py o2cwAM9IQNbm/k5jaVa7ywrQMS0exwy/AIAF/qBi6TpYz3uXztImXGKT+twaWNaxG01W1kyNKiVG 7u9CsajaeVk6PvPCNJ91+rWdNDa5o4/9N8/LC+OAaRYurSwhnttAtpxFyojDfdqJQChy6JfGOFNk MoRibwn3Ht5GOBtFr68f/V0Dm5puWoXW1U6mk1ifpMNgIqtul/q9Q8ewLOno3YTWzuyN+5g4P4Eb 37uJgfE+fOanXsPXf/Ob0hU6tZHC5IVJrDxaESoYsii8/7UPZWhUXpc++7RYZ5vup1TZVWHxeE62 QNiP1fk1qTl8eGcOp184hWwqK0WyVPLJ9RTCXSH4w34sPlgSK48MEG6fYjaVRVKqopQtCkuEWIrZ snSb5jtimVDvqfaSJVJt0I7rTHhAZYt1JcyrFRhux47JEmLJus/EJLTAORNb7UavZwBd4S54vJ7G 4szlc0ik43C7PIgEI21BIaxkefpnbX0qBgtFbGc7SjpwKodEEVUz+eXq8SgqmX1cUu5BZ141nGOX BEID+lAlhbRJ06PpcPgu6QKamUUNDTK2liaoLs5W5OzmC2hQXKFahFE14JZGE2wGwIJVpQUlBmYO VNcEMdjWjlDZkX2Blkp8Yx3Xlz5G91MxBPsDHetQo4XujuusC7n1LKaX7iC5FEfM2YO+nr5tE03z 9ThbZAvFQnVUYHPZYK/aUc8dvjOKUhYaw7azqPelUMsShAZw//p9UQ6s82MGTTN+5rMFaXs/fm4M awvrggbnzyxmfu0rn2qck1YOLY2dFAA7T3N8VEK0pK6+cQ2P783jxR95Xiyd5UerCET8gn3icUsP loQ+hm7qyMkhrC2uo5DOo5IxC7ErquI/m8lJNrBnsluaxiY24nD5e2TCJtaS4mYGIwHks3k5FzFX VG7MFCqF1Uahr4bBbFHGlYJKmOy1QOkyUnFl1zKYWbyLtXwMg8EhdMW6JJP1YG0WS6UFeOxedCd7 0R8bQCi4d2Z0U/ExLSpzvxMDQZTr0aZgOKVJjexgCGCjgPzjDPKP0vBPRtsqfdI4NRozXCe0iqxe VWPzNbtQb4Jt2FRYo6EzmPAz75fBd0Hym6/W0L3CtBlmxT+ItSOLgQpInVivH2Y2+GCL9RoC/qDU +3AS6WE0bkQjfvdRDCnKIV+G82oZrqsF1AYrsA0cze7CIfm7ffDF6thYXEEymcDqg2X0BvrR293b bFhgTiS+iK0joUL2wIt8PgO7RzV/PayIsjDjKrsJmzwQKLn0cFmOT2+k8dZ/+B5OPqs6QTM+JQrD 48LUlWnMzyzg1DMn0D/Wh9lkTrJUkZ7NC4rdcwjP2EkBRHojovRS62mEu0NYmFlE/1ivKBSCNWlB 8ftwTxj5dB6pjTQivWGMnBoWd/HSq0+jmCij5oZcxxv2YPHhEjL5NFZuLEvglUqUXFtUhLGBKDYW 4/AGvQjHgpi+NouxM6MYOTmMq9/+GJlkFieOHZf6x1K+LHWLSuGqdvF2p/U+TBzQFoVFy4n4rvY7 BflQj9WRXoxjNp7FSiKMulFHOpxAuD8gFtvyyjwSaxvoXu/F6PDYnjWyWxcxLQ6plnDszMvWMWHR c68Poad7UHqUEwunXm4PdyaxJWKkDAOFQl6o0bmRWOEcEmYyOdcktEQ0ggBbTbiI5VjGB1U0ROkM hp24IUt4SvMnW+H64lPTDJWD1JCqOltouoUE39Gy0CA7+ewOvFGCpaB/2sYuoQs82drb7/bD/fUK UsYyjL/rRHCkM01LWwknamgohEpXBen1ODKpNJZnlzDeO4FIWBV+7sSdxBcVdkeQzK2j7OhM6y8d x9hrolLhnLx0HOl4Rhawy+3E6z/9mrh+ZAeNDcQkuO4L+qQGj0rD6/PI7xmU5+f7x5vJC0407mhe 986IdCpJNm8dOra90JnCuFVD+qLQbXMHxvuRWcsis5KVwD+br7IagNYR+bNorQnzw1JcXFuW2kx/ NCNube9or3S6lnR+piBYLJnALgMrj1YxMTQBe4wZKAbqiyo+IqDDzd2ddDCfQFarMLjPsewXXBkc 9KMULiMZX5fMrrvbkJibxN0CLhQSRSwnF7B6bwVDoREMDgy2lSHVrKzaBHgS4uryYvCrp+E7FpZe ouFn+/Ys79IYMl1xIspKFK3abLVBZEXsC9MslRwxWexHaL4eAfKaRpNimlCfI2SDwXcWZxtbMUYK KKmgCLWatWVXM6DGCc0vZhadDuIlcruWG4j1pru77nHzZBuUzjrFIkKv9GHsx89i+o+vITG2Aucv OOGJHg1FqxaWkPgHDVFc2Y0kri9+jOHUKEYGRkQxMVPKbBtNVS18IdFQFPMLLhRdimH1sDtio5yv jRMFo0H50tI91N3yuFj/5oYfx582NY5FaBnwXbFp6oGFXEmFMrKrORSSeYlTSTFrtiSWjN+su8yu Z+X23H6n/M3rVwpUF+jeuzqD5z9/CVNXp0WZZVM5Ucih7pBMdi6UvtFezF67L24LMV8ctygpUVhK WW3l/pJs1Ba0vVBGE6xsOwB/fcAJp19xRFmVvATtox7UQ3UUAkU8WJ/B+r01HB8+IfVxuz5C09IQ C7+zpZ07St0AQi/1I3qpH46QU9XAtvk8dMhH6QFVasaAedlcK2I1mXNZu4aqJlJzkzXfk3Ilm+aP egY2WXvSl3AnyP/WgO9WLu1Syeru2XcBi5Xg8XiRyaQlvrXtQZnX0aBOFjqKKRxxY/Tnz8FWqGHq X9/AengZPT89IBmjoxRBIbP+rd+BSqSKuYVZJGbiODN2Fm6PR6WhBVW8+V7EguwQrEEF3Ttzrv2I Ar/aBa1vFbImMN7E8VCpEblOZUDXXQLnudKmbkai+Lt8iIxEGhldYruIfO8/1yszSSYoLaZkEbVc HY/vzCOXzaFnuAe/87//f+gdVTE4urx33ruDQDQo1tujW48QX4xjYLIfU1fuSdLh2LHjGDWGxAU0 sYb7RuXzswcNbCtWkh3+5rDB2+2RetPMWhzvznwPo8EJTIxMtHQTdQaeC11tXFsLoI9OiKMDe6fK ddu4nrWA38xq63FKM1p+w/6kJc6dOlxUXpZ108STbypC2nYZKjyJjR26vVs7OCEzy8jWWLrZgVUI maCbweN0vZYM226DdzSE0f/kKaTvJ/Dg1+4jMexG1+u9h7MA2hQhvPMZMCb9yK4mcHX2Azx34gUx TRtNVk3JZDOouSuy2+aTRGZ3wsR68kLkOjFNbD1vXSBczIQNaGXEOBF3R1+XV77nJrJ5yLpS3/LL el16IEpdoEVo7Tz/pUtYvLssnXzCA2FhXBDMld+NYCyIQvY0nC4Fs4n2hOX50M298KnzOPH0cWTM uMtBRJSV6cYdpfD8vgEvXFEXpm7ewsP3HuCZ05cQi8YsRgJxh6roV/3u6M2rqmkJeUw+LJ2V26kG 2CqqDlJVdrRM0qlv5Ny6dpKIfqlAIIssm6maO7M1O9pKmCk1QoGgwBKovfZKQx5UaH2x0trr9TZY DfUNscaPD4jWFxUalReP1dlLxtE840EM/8JZFP7nDJb+1TI8oz4ETwQP3J143+O32xDo8yPnKuDy rXfw8vlXxVLkM+PE4ljT+RTq/ppajB0BjipMyl5udCdFB0qHnu4X90oL6z1vv3cH5aoLg8cH8Xjq sQRMSejH7N6tD6Yl6M6s5O337kp8ilbR1If3kE3nJEDPrjtUarTGaK1ZA+G8pi/mw+gzI6Isy9my JAWsC4BZRi1W/BaD/JTZlYcHziLTSpQGFU9C6rQ0c/D1euA57sTbt76LkZVxnJk8Kx2meM9us1v2 XhxinRDVKKYMn6XWtvAojfU35iQOGL7Uh+DZrga9DJWYBMFZRaC9JQ072MMi01Q+DpfdBKOr+LnU bJoei42eG93Leh0et9sk0dTKzAYjnUnD6XQp9K7ZhVWfSGtOPaYm84KJdDcHotKU1qFtH7hGzjNY z/SvQtcb8r0uMNVmtdujjlH6WWUwuz4zLDvUGbsDjzaWkV9Nw9t3tPGsreKLepA7U8C7N9/Gc6de kOJVKi2OP1VNAt66KqmRG+7ABZ+wkUVLQ2InW6xXsiEUC0V5L6RCZpbw4e05ZBJZrC+s4+xLZ/DG v/+uBO95DK0xUiqffv4Ubrx9E4nlBGpnlEIgSj2fKoi7uFWo7HtOxATVTqGCI3J/L8tJgrtuh2DS CN1gbJVj4M9UqMSFETsm68pug9vjkniY28vzG0htZIRHPp/LN6zIo5JiuohSviLlRMQxjrziRXJh Dd+58S2c7DuNcDAq3YX04lY662iUVt1UBFZlJfWE19cw88sfojCXRuzVIZz7tc/CNxFuHKMLrFUM imwW7IZd3pfbKvE58x4ZVOeXFnElzXPRlVQ0Mw5R5MLZwYtJ7Y7LJYhTHTTWzH/NCL7KXmltZ6oq 1IjwajQ6IIZCFVELI2eDAUJpZ7Ib0NLiRGKwXvO+a3Q941f8uwTrzbSnDN6wI/rpIfh8PvRWRvH2 zbdR9JUkFf0kxRfzID2ZxfUH13Bh7CnZARbXF5ByJRCMqUBqq/ZE+5UmndKTs7AYEGd8amuJC1Ht x585JlYVm1Iwg7fycEXhoKpVQckbLqcEyV//qU8Lep7wCr57BtHJoMCguVZCRK9rhaUr8htxEBsE 0S6WViEhgXBfRM0HjZ/SdCXaAi8XqihmS8KPNf3RNKL9UcT6YwJcnfloBi996QXc/WBKYmPMQD77 A0/jzT94BxNnxzB+fkxwZDfeuokLr5+TDCsD+1RwxXwJ3oC3Ufrk8blFweUyCnNI7npWETAzSUwb EwXFXEEgJGIRblm7fLb5VFGUIpWVFnKe1fpqmLp3E86HXpwZOoewNwS32wSkdphQsS7cWqrkzpo8 kjEmikh+uIzSXE7WLzOFTkuiy4qbYiNj4Y5nmKfD01QrPu2mwox5ymipFJiy19gq/aRbZRAtPzWU kLoR5fpZqVs1vauejEKnYbqeGrshLA4mj4/4zfUasrksvG4vqoKUbwYctQVYKpdwbvgcPpq5gvp4 AZ426JQ7KcF+P9KlFO4vzGKoewjpWgpGNzE/qiynEx2OBQfzhKPuBIxSiPi2SqQvgvhKQjYpKuMP v3FVrJdjFydEmfFv3FwIFGV3HQoX/fz0glgxzORZgZfZtVzDFYgvJeTzRMvzHROzJVCLsT7c//gB UnfSCHWFpeEFjwvz+1JJQKb+oA+DEwNmh+UaHlx/iJ6+XsnYcazMMBYyBcFpEfbx43/7y/g3/+S3 YLidOPXscXlXpKs5/8IZZDYyYhFKTKVaw63Ld2Qz8vo9cg/zM4voGoiJYqLSK+QLOPXcSTy89UiU Vqw3KouXYFoqS7rL3kBzXtLlZMKBxxDBv1X4+97TPZL0uDnzMXrifZjsP45gkMd2hrqj1ogPq7jT 1lIf1ldmpuLYeGtBmk+4ur0IXuiGw7dZqWmlRS9Ih25UuM3sIHREFqq4hIwhadwD70VZNJuJ9+Rm BNJgDtcMBu40rmb6Un1SC5UirSrdulvAZgKKI0pWFT6ypT0nDONqtKasCHlpXWR25fD7/Bi83YUb b32Mnp8flp56rYS4HnInRXrCsvMtPVyRnZGTj5OYf+8a6BKMD9HftB5oDaw8XpXJSrxSq0Cgt9eL 1cQS3Bt8fhbkLhWNycs+P70su273QEwwUFzMpO1lDCa+HBcMUfdgF5Yf8rg6ugdjSG9kpC6QJemo BLUAACAASURBVC2O4hMADJpCKEBZsoB0CTcrrHMvncbs9QfyXLr6Y1L4TFAoF/TkU5MCYTjxzHEp dmZdIy0v3icVRf9Evzx3LXQJtctHZXLnwykBk1JJURkQ20cr6dxLZ/F4el7eTTy7jqFjQ1jZWEGy mJDPsdTo2MVJ9J3pkedZyBbxeHEOmbUM/Haf3AM7UAdjAWk/xngamQEER2iJdXE+PZp+jN7xbvQM dYkFl15P49Y7t/DaVz6NK9/+CM99/pIsUIJYc2ZMjq3MCKeI9ETkd9e/dxPhnhAe3HokBeCcR1aF VS6UkV7OYPiZAdM7aS20viJnQkjNJzAff4xjnuM7lou1Kwrdzxpg1UWH66jVOdkjdPF3p5D+YFWU UuTFfoSe6t6BHpkAUDXX6WE1ANYOC43zEcTDDcaupKDZpnbXrWU52yL/Zt+yTZgKCxWy0NEIl9YW 087jUVlAMztAobWkg/C6SpvxNLILEgrBRgN8EJqp0Do+ibVdz6D6+3GsDjox+KPD22IvYg1886rs 8B9+6yOce+kM1ubXxDpYfbwmE7iYLSK1npLdgWBE9tgj19LSg2VRbBOVGvrGmhaCFlKoGP12bDxa Q3e4B9l4BmV/RbKKfBTchW+8fUuC0atzq5Ki57UTKwl5NnQ11hbWxC2ZuTYrwEgi0jkBqDhDL5/Z tGEctUjji3JN4oSag176GBYr8Hn9OPnUCdmBeYzvgl8C8fUcEAlE5PtYMIZauo7BwSEpfXWUHRgY HYA/ujlWxQyjUBmVqvL8uWGMnhqRZxTti0rZDa0rxsr6RnolqH7r8m0Mfr5f4mVUNnxmg5P9okAI LqXCopKcuDCBW2/dkWdLZcE4G//GeceicLqsxJ5xMfL9u30eJFaSYh1S2epgPjng6RYzQyk0NCa9 b9dgDPl7eXH3AiG/bHJjp0dw7+o9jJ0dFeuQdMyco7oxRGO+GHbh2SdAdeuGsFU4j919Tqw/XEEo HkJfV/+mcpb9CMchZTMmpmsnDnsmQjbemsfyH86IdcXa3t4fmYBneHewti7H02EQVR6maJ45Xzot BhVGvqD8VWuxbaMukPxOAr6jMnE26gIVPMFs4sNUt1lRXa6qlt2NwkazxIcPi67eVjS8tWxHGBqY qTQc8Hp98jMVF4GkAtoUK9BUqA47Rn7yDJbfeoSVf7aOtbATPZ/ZjMwtFkqYvjojDAIffeeaZMEY T2E8g/ENWl1kLmAR8POffxalrhLe+/P3pQSEk4oI8eVHyy0VFsfrCjuR9aZRma8hVymA/SXDY0Fp CMHFRIkNdOHDb1zBhVfPSakJy1gYAyG9yvz0PG5evi0LhZbL5T9/X1gUlh6tiNJiW6snJXw2LMmh JbBUXW7cIy1G4Rint09AqcOOYFdgM0ASNrEeyLIQHAiJ8iOtcSVfga3Lth0q4nUKbosFrx6vW54L 58CDWw+Uq/nUpFhnRLArml+HuGjJ9aS4bdJ0w24Tq4YWmV4oDPqXkmX0HOsSihgmB2j9Mcb29OtP IRPPCAUO7+vUsyel3lJQ+xNDiPXGGvdEGAUtTs4Lzn1ee2F2QRhOoz0RrD5eFUv9zAunpNO1vL/B LlGeVN5U8lthL1TU5AtLLqYRczkECrKbkM+/2lvF44VH8Ll9CAfD+8ZiKbYDVde3F7q+Xqwi/s4i ymsF6UPY84UxdL0+0ja9jLWQudHVR+JbzUqYTojQyyjkOjl5VCxLUpe0fEjqb3eZfFDqwnrX18H5 RryL5RyELTQaQSgwqcAWTLhEq6JTSqNosqwUUq2sOLBVEqCGYqloUqaafFxER7tdcJ0O49Tffwm2 //UyVn55GWtuO3pe6bXwUSuLT4p/2YmjWMLq3JpkjRhnYBsoKibZ8atVvPUHb+NzP/tZ2a1vvnNb LK6uoa4dHx4JyBCpYS21hMiJMFwRVc6iOgBv5jciJQsX4OSFCWFRUAXtqnRBx7y4eOhu8PkxFuKx eVGrxnZ8bp0Uwg2oSGIT0YbSbygsQTwrXJVuprB1PFIykywg1B8w43jbY6Ba3AE3itkygn1+HL84 icUHy9KSbHl2BYv3lpFfLkoMyAmnZNUGBwaQTqZlntKKYUyJlippcVh+pIWZK8a4WN9IhUCWCKtI q3VTaFFRiukSAqGAvHMtRNx/9qdfk3lL6pxctiCQjWhvGP4zo1IaxBKn7sFumVMscWIp1PCxQck+ 0rWN9G6uKpAZYYYLml2UdhaBN0RcyGRyeByfkyy+06law7dD06z4phg33ltZUexeB0b+03MIX+xB 6vY6+n/0mHBi7VeaikvV3VZhafveATF4UiLMdUBO+trb7GJW51nIyP5iprJSHDaqxodpRuX+mRXm 9apZpKg7yKpMIQNzVDxkc2DVejqbNh94s06uEZtSt2yWZiiFyOt7PR6xtmSRmGA0p+ESiy3yXD+O /xfPofgPvovUP19Fst+NyHFVy8YCXE6sb/72t0UprDxew9d+8+s4//JZjJ8bRy6dx+OpeVkcv/fr fyC7ezA6K3EZWmBd/VGMnWq2VN8qdGu4g4ePB+Hr9jReFhc1g8EP7j3E3ffvYuj4IN7/+odYmFmQ ND0XFPnGKc989iIu/9n7mPrgLsbOjODj71zH/ZsPxIVhA4UnEcPi884l87j94V1kS6rekNbC4+kF sZZ+9G9+Ed/67TekqDnaG5V7YKyG7ek9fi/uvH9X3MZzl86Yr1AFdZMLaSm5IZeUWB3mzRDZzswf Lbr8agm+egD2vIHxE2M4demEsGi4/Wqjk+BupozEYkqgAN6wVxTo8PEhsZB0hxl1H62ZGHYTuoOi gK1KxKbqHqWkTMdpzOYOfLeh7nCDRffCK+caJTn86jFZFrZaFcxishN3dCzSdnMSns/X78FqcgXR eAyDvUPt3ROxTJWKyrC1SzjAZMCZGIInYujNluDwOQ+3Se5CSHhoC4sKKlfINZj/KFQQtI5cxE1V yqaPqgZAYBdpXYHNqHUqKqLANbKdz4ounYZHEA1OjAkD6tqN1GBVcQe33KBmYyQSlqBStvvhZ/h9 qVxUz8VpR+SlAZz4G5dw/de/h8S/WYLrF13w9frkgX/uZz5jZtvUBCDRXIOKxbTA+DNdNlHKZsyC SoxW3W58RjwHWQEYl7BOUHFpQy58+W9+Sf1st+OZ1y+qYlbpsdRMSHDBUSHo4zgmBnl57vjDJJ6E 0P1hEoAxw8mL40L/wljPxdcu4N/9L7+Dh7eZCaMbewF/8RvfwMjpEYnzMVlw54O7CEZD6DoTE04r 9VxsCPYF4aTVwjInr7PR9YbC4xJzCVFMsbHhBs7KCm2wCl0uWkwbs3Fx+YRtdAv5X1P25zbRsuT1 txX5WrPd/LtlGlhPb1WY+nOt4CLrsxvoPdWzLQO7lzCmGDjhwfT1KURCUcme73lP1aqUwOxXBLLk 5rrsDKvpbr0QDiqGAnE6G5ADLQLaKhRUEXIopHbNag35vJmSrlXNrF5pew2U06ksIjObyO8D/gBS Gba+rsv3zBYSc6WYH7gT7KyNhcTMBolrcUxynbLasSWWFHRj6GfOoBDPY/3BCorXKii+qDBaWyfU tp/Nf9kEwCrtoKYlpuNyCK5o0+9NOIfmodrrfNbjto6RFo60iNqCIu4kNxhdOLpe5E9nyp9xISox Wnt0idxej6mcWZTO2sGyWDdUYkQ3k0vra7/xLQR8IYxgUN2TmwR8rV0Ku9eOnpPtx+f4npkFHnx6 AKmlFB598BjR0QjC/cFGvIQbC+Nwunibz0z1A1Thhh3v3awkOCqsKC2r1al1DJxnOdnBSn8Y/6r3 5TC9cA8nB0+ZxsJ20TFoKwhzP9IwGDrQKofxbD53Zr8P0yZsqxi0dqhgdGMAq5WjYlZAsVQSpcO/ S9U1sVClkkALyjaFcNWi+4/JBNJxrzpTqhXEIjEVeJfzqJcnnFrSktorsSqNsreKMERUqiijLMT7 7BbCMUu7IHYNcbmQ8+Yw+p9dwITNgdX8Oh6uz6LqVjViRyWK1cAhbgUXvd6lOcHoBh1W+E5Wptaw dj9uLjoFnmTe4dinx7fTz5g/b2YM2JvxlWNnYiM2FJXYEGMwpHUhWv25zz8r8AteizQvTNfH+mJy HOOATOkTHhKM+oFy510AAjY//u51+ZeJCV6LpIPD68NCQbSysiKg4ks/8DRufe821h7GkavnkE1m hfuLKHy613RjW957qaoa2naYHFLOXa1h7d46ek92HVhZaQmPhrBSXkD5YQnnxi5ICdsmDJXpjRy0 y0+9UkNhNYdasoRKvozAyZgQ+u3rHBbok8Z6dYYrvCmGNDOtVuQB0KUjKLOVRtQLhitAE/xRwXDS 5POFbYylUoUuaHm7BJO5azOORYWUzWYlbuauukQZMpjK60qsS1oXWZWmegCqtIfKsSblPcUCs3KG fC9WH6/lc8pxff4+5BayWF5agHvAtoXArbPCc9P/J+hSN2ygJ9EREj/Djp4TXVIQrJUh42aLN5aR 3cgJxMBaa8gsHd1OFgnXt1iBem43u/A244+MMxGE2XOqS6AVgghfjkvN4EffvSbB7ee/8Kywfr7+ V16TxhU8jlCM86+cwd0P7+FTP/YyivOq514nJyibWDy6/QhPv/40pq/N4MUffq7BSHl/9gF6unuw urCGd/7wMuKLCYwfG8f3/vAdDB0fEBjC/Rv30TvcLXCDrSIhAbNXXqeTGqLglzKC1O8Uu0j3sRgS c3F8dP8qjvedQCysMILN0MbOsIVNY2vBt15ay+PmL34TyQ9W4D8Zxal//ClpV7/1nhpBdWmfphTT JmhTM0JthmE6u/YMURbMdPh8DbdwayxJZwOV9dSMtehW89o1tEIZqEg0FCGXyzdiWgzO5vJZiW2x 9ID+Ns+jr0ulxXPpMagMIhspMmalGmbUagU5judWxzZNeo3aPzlyCpnvxLG+toropRiOSqy00VoI a2Dc4tDnpuKrbOZ1p+JiYTJhBIzrWLF5/JkTljukxtoTC8M4jVZsorAcdqGHodVKJVfOVSROE7GF MTKhkgyDwwPyJVKGNBjlF7932pyN4xjGPH3xlHw7N7OA5EJqX6wJumHBTrI+F0cxU0Y+kZf2XotT y1iZXZOMXCFdRPBsUDKI01dmJMki2TWPKppNriYVkd8OwV9ijyiHtX5aCTcBQju6xjdnCw8rkZEw 8sECbt7/GBPF4wJ90S3r2mudpsg0KbrKhNl8m0fh79iIojCfQfbuBiLP9TWaUOjmGBQp+GfvApLv WWKGPK+A0EnqaUIIG7ClDu1iEjxRJTkVsYR2csvUoJuNKLS7R6vJ7w80YllUMESvNzmz1O/1wNlx R8e4CPmnP56v5cQyoNLiw2Cwn1aTNLOQrKPCdulpp2vJCKPgcfSXRaWaAFQ+qkIqD+df5BGPP4bj f3IitAcA7qCiSPeVYtCigIadoElmQ4smI6O+HhWWlU1hPyJgUDknn6HiMs+s5bA6s4Y7l6ckO0im BabnaVGFokGxuOamiGB3Sfp+fXFdxsRSHMIMyL9OfBTPybIbgmeZ+idtM3FdpIqR860mEe4KCsEg cWqMg9HNY1UB5x4BvoRzEJdF2AHR8oQi0GIk0JPxqQ/+/IqU0XR1x6QcZn5qQY4/9+pZzN15jFQi ha6emMRJZ6ZnMMIsb8UmCnprwFsxNJg4sw4K52d6OQt/jNQ7nVeG3ogHxukyZu5PYWN5A0OhYWkm u+e4qKzMqowGJYzJ8unwGIi8OID1bzxGeakgLfeq+QqMoMvMljbbc3E9NhIk6sSN+y5XFVKAH5Dw UY1sxdWOWd1KYdFSKZelFTRrqawKS3PU6N9RqdByUh1rVdGjtJH2ehtlM1R+5QqD+YouwwpGlUwi LatKUZQWP+eqKUoZ/l2oUE2lJYFr4YlXHNC6TIfWG4X80aTkYACfFpdqJ0YlWZa2SWxVFPhTG1b/ t0ew/ZdjCA7tr+tzO6LT2ZsUFvE2HXAJj4LET4CbFj4ql8+Q4t0ySkhkEqJE8rU8IqNhlO0lzM3M wR6woeqqomKUkavk0DURFVBlr7MHvj4vZmfu4+WxF1Av18UCIMvm/L15JLM8nwsFOV8IJVsRcw8f o+6po+auouyAXIs/Z4tZxCYiqDgrWE+sI5lN4uyJ02IFwvWczL9JYwKp1RTWHqyj70QPuoZOievK QnrSQ48/PSr3QhZc4Wj3utHd34VytiL3JpuIruAwA/PM8HK8nRRagryWO6iQ8kchTq8T4ZMOZFYS mI0XUKgU0B/r37WMx2YBclNUHaDCVNJyZ0NjR9BQ7b4ep1GOF+AIOk3LTTUK2cuS03hL3ZRCmkd0 EIolM1fjr7jo2Z6IC15RR9gbzAlUUjqLyIELv7lBF011bpW4UlEpId0IUQfgre4SFx/Pzc8rFLtq sy1KrqzOz3O4XETVK5oZoaExW1EpRaaO0eflceqa9YZFZ/cYGPiZkzDgwPVf+R7WfHNw/tcTiga3 g9KKVUEWQwdSugK9kC7SRwvGUjzp7ERjl9pGlpwQ3c/SoZ6RHrF6jl88hmq5IjV0PaeHBdPGzjhs csE6Q9lc3IYq2SGuK6PKW7rMwHz/eL9YSSw2XphdwtkXTwlwl23BWH6zsbghpTLDx1XdH608CjdG NpzQUjtWw1rvOrwxLzbWNqRJLNuYMRCfWIlLuzOCQBfvL6P/RB+6+2NIraaFCqerLyZ0y7zmsfMT cNgMAbsy/pOcT21+9oZdWnuRVYFAVyLP2031s+Er45lbiQo7LXbDDn+/FyV/GQ+XZrAyu4TJvmOI hKO7k+6ZVSwK3GtGnuyqFyHXDdIllFbzqCQVJEmUnHSEbz8eRcXFInUF2u6wwtImInccUUSmucfA eCaTabhaSsmUZQB0HRn3UjGnohDwUdnpwmYKj6WC2RoX01Q2Qk8hbp8hFMrVaqaRZqbSZMZDlKko LRXLkhIhwZiYHTXKlUadIpWeNTgY6o/C9dUzSNxdw/1/dxtLJ+Yx/NfGNzXLPLQoBOEmi6od/vr2 zt1WL9XDX4bv1+0Ui5WKiz/ffPeWzAc2Y2XgnUqME5ZlRVNXZ6TAl4XNUodpCoP7dGEFauJhww6b 1OVRyIvFpfHUaxekvpPF4IyfkjVUC6/N4+hqjp0daz1WQ1mdD24+RKFUEAuMio/xK4fTwLt/8h4G jw9Itx5urKVCUUgFaW2NXRiRbjcOjw33bk3j0qvPiIvk7/FvyxIq66sqcajUcsZ0zVVghoqCbhmh FdvbhVUk60pl9yQIJm3k9wq54HBXUEzlcG3uI3Qt9eDE5EmJbVE0kUGDUUHjEs11rtkXjLAbri4P Sqs5VFMl1HJq3R6UnlkzQ3RSGluALnux/my1lGhJMfWtrSwqKyKRS+VKI/hGMzAYDIr1I5aOaU3R QtLunLa6+DtpRJDLihvqFZ4sX0NBUphB1EqSOCRpTlFWhF48luSDVGpE2PMcCnqh+iLSHRUwqs+G yb/3HAqLGSz86mMsBR9j4MuKDLATol+HNXBs66hL2PQJGS9643e/Iw0nVIFwQurvmLrnu2AhL3FS LCv50//3awJPIHCW7b3IXMA6RQI+t+K+eA/sDO0reQUOwHpLIvEZg6J1dOlzzwh3OknyhiYG8dG3 r2H+zgIKqYLEpVYfrGLq/XsYGB5AYb0oViyxe6FwCLlkFgMTAwKTIAvFxuMEnvnsU7h3ZVosqt7+ CG6/f0d6CzKTt3x/FZn4fbGKXvyh53YMlrOWr3e8C66wH1MfTeOHv/p5zN58IPG0TCIosTc2eSWL AysNSINDhUvL7VvfuYbJ82NivRF35g15ts0Hzb8l7s2WzjvCJpIs4uHlx/LmDa8T0ZEwfFGvUEzz OTktfFdHLjYFpeF1XaEqkuvr+N71N4UQcGh4SIq1tdLZmiAS99AMkDs8Drj7fMjc2UAlV0YprZhT DgwilY/p6HtnbrUxcxn03gwnsCNHXiqvD9ksd0NmB2qCveLFuRszY9e8GZuKZTm8YjWxDEdhrAqi jLSrRqtNx7L0wyuycaqdVpankSXUf6PVpKALebG0NMhVlJPOdtBtcig8FoUKq+ky2uAZ9OPMP30V 1V96A2v/bB3rg170vNTTmR3Q5AJqkumbbLGdoEnm+CznJZ0Jg94DkwNS5vOZr3waoVhAXC0Grgk5 ePP33hK37alXz+PuhwzKxnHznVviqul2TFuFQfjUXFr46EOOMPKPi+gP96P3fK8cv34njogzivxG AbaAHa98/mVlaTjsCPsjGBkdkU2I4FP+nqhu/tvb3YN6V7coirMXz+D0U6dUVjAHjE+MIzGfglEx cOb8aekniCLwzAtPN2oW13ieFsIW9joepSmR1pc2cPPtW/jUl19SJUWaiZRVB4bHLOtSlMrP/9Cz uP7mDZy8cHLHZ6/rKDmvWjW1oMvHUiGJ4ebKiD9KYOnWimTaGON7Ej0Htorm23cMOuDrA27e+Ri3 vnMTfdF+jI6Ooru7S9Y4vSOuJ7LIhsPsTm3Ho0ePsLS4hLmfy8D1Y10Yd5yA/3jkUHpGNabZu239 gRSWCsgp+hc9p+me0bJS2biCpIr5d1LJtjITVQZBZRxT6YIoFrp6zABFnVEZeDKZbHSD1tkZlW0k rsohCi2RiFsatjKWVm3QJvsNT4NWmQ9a1zPqvmUcH5Uk3Q3r+HxjIVz6v34ImYUklmNxrC0uS0+5 wz7HBk7sKLjXTeCu1WUSCmJmTotlpOJpUVTh7gjSiYyZnbHL39SztUmWjhYZ+b8Ya+L3LOS1Cl3k /rO9gvnaSegSzV2ZFzeIXbhpsZBnjJ2cmQF8dPcxTj5zXHiypq9Oi3vG2kjGuhKrcYyeGZVC5Y2l DfnciUsn4HAsYviSQsbvR9am12FEHbh99bbEpl7+4ov4jX/0bwV3deeDe8IrRouOxc9evxvv/Ol7 wtoxeW4c7/7ZezJnWLMo9bAoH6h5RUOhMa4acmPgfLO34/dbbJyUBtB3vhv1s3WkVtbw1uMZ5G4V 4CgY8NsCKDjzsIVrqM4pLB87bodeCGH8U6OoPKgj4h2CVxrsHmKBmB6WsMIysyiNSRqsegey3Cwu obKyKCq4pqwnuoDs7OxyuqUY2gpTaCVCneokRkoxINDFk3gVq8YdDgT8fhRM1LyGmGnwGQGlbFoa DISQzqQaSotKyOf0wuPySM0jKVl9Pr/sEjrCo8uCNJWGtRcdLTehrxl2IDLkhb/chcpqBZnVBDzd h8zkmKUh1kgT8SqdoEkWah+zvx6Frg2pTtiXj7V0jPewSP3405NIriXEHeJrIakcye/oJhKlTl4v BpoZIGes6sC3ylS104G1x2u4T8YJhx033rklVh87Mv/2L/8uXv/J1wRUSprib//Od2SsjOnks1MS eP/mb31LzvX/s/fmMZbe15XYfftaVa/2qu6u3rvJbnY3N3EnJVMSJdqWZXn3WF4SxzZmYAQZBAFs ZJB/MklmBhggmMkEgwSZzObxAAMvsWzLsnZZFCmS4t5NNnvfa+naq96+Befc3/3e9169qnq1dTdt XqHE6lfvfe/bfve7y7nnHHlQlak3Y5hSAtnegYde9K7d7//b/6HpPaeeO+n9TmiDM5D+mUHB52+7 BSD2OpLmjxnTPOlr66iBH/Pe52iozdF4mLl1ns0WUdFHUGVbm3LcH6cyz24iszqlSFfleZ92hAuI WjF0TcUM8lix0qs7CBwFIAioEVktCmbDzUbU53dehkKGg4IDgfOAwwJeSmmQVdYLP1rP0lqWouOV 6YEMEqkuDkvbDmfzOe4PYAxBOK68ahf6DRFiva71KxFF7KOwTwS/z9Fifw71H5GzU2ekGM5LrBdj DrIpM3pYf80KeKHtcFithtZ9IYe6QpUp3+UzVxlhgaYXXE3gaQL3F/BSIAs0epX7Hj1Cil8UysEB thkzLQSkOrnbeV7LoT193Idjj99PBlAwKAAXBJZQdAwRXSGiG9jdL1fev8o6Gsj6wEaBgjg6fEhZ seEoIuhiiWyiYLNAhIhCP252RGaI4nBOwVWl40CLEkqEyF226RqLkUzeabWPu2zBDYwhcW3WaxIN R1oCAQdM9kFFDBxutXZPRIZZkBOpcJ1Go51BlMumT6jR7FMYlY7dNcn+IeX19szNnBmLgv3OnBfF a9HcF2kevKUW4hsspYqabURZuOEgNkrCeqaajRSy1XmwwF+tsziI70BhHbUypKJWq4LT5E1eUTkg 4+3ia+DycieGkAmg7xMp1tkQtdl36WlW752QuKTfjsi18+MSfL5Xoj2bLJI2qLc8Q4sc3OVbtdZa GK4JZOnNwNDpNz93+jNffMrtmDrQLgywU2KqMUYFgxPIzSmkYT1DtAdqmNJimXCAyctTlOR6/+Wz ZE196gtPkNNq6uptRn6RYERy83kp56ekvKyR+sT5Kbl1fkJuX5omSeH5S+dJRY3oDyktnBnobXDN l+aXSJ8MUCqk7FHgP/H0cdIqz08uyL7xMbnv4SO814BLSmwQsuI98O58uemetTrul7mSFG8tSSXa Q+AoTIkSlYrHCDptaoJrGOUj16X3ty8apKCNk9waQVHmy48kcGsKuFCUd/xrIMwhZQelB2Lc0htg pLCTSKcMjGaRkH9shlB/T5JIvxzOBQtAx2oc66DvKWZoW9StdN4wRCdooDTbhum0+SWECAyFgwRS PhwihgsnEY5LT2xFykFF25LD2mM0xfeoECesPJ+X+htZyb89JeVSUYa+uIto342aMVIYGI/HB37y NjJWm9Mm3ILsPQrC+bJkp7Palm/3FhchrwuedFxTSBlwT/T0dhPsO7pvVK5duM7oLzufk6HRQbl5 9Rav5wOPH6dYQz6bk71HxqS7t5sUyKMHhqWaq8nsrVkJ9NXZoQTmCxAKIO0RrV44c1Ge/uJTnGdE dxH4MKS86PzhYYDa2fUPbsiefbtJ6LdwY1HGPtEZX5T/mBoaBR8bDNc49+6cTL1ckq7fgvTx6AAA IABJREFU7pLuhwabUjNcG6pkOTPOMB2vU7m+VtscJEIBrv7SjuewtO6jcAATgMAb4TzgOFA7Ipmf E42A8zF4gUL2Qw5pHuSO2w6S5sLR1DR9KSENDe54OihHu+yN/BQK/C7TMWwt8jM8RZ0sCKeakKIU PUUeoOxD4QQXFhwv9s9P/0yn2xWSoS8dksWzM3LrX96SqXhAhl7ctSm4A5shvqcGke7bUIRnfWYL unTlIup0WS7w9CAaDG2G2sEo2sEsHT6KzljPni6ZuD4pEhUZ3o1Cc12Gyio4cejhA3LujQsydGCQ ERZksW6cX5ZjT98n45cnZHxiXLr7u+SpLz1BUr7gj9DE0WuGa3n59BU6rONPHJNbl8fJgoGHHbaF NJeMIiHFQGFkp7eUkcHD/SQWvPR9gFc3YA4t8rGvWmnluaJkz5eJeF/P/EIT2hXcHtNbPtCe092Q 6qw/VeGoQA1T9naoVkenztVqpMEGag6ENS1Hq2yvY5vqmCwN0+IaDJEO0jUrzBmSHo7JjxFBrUYR 7yjiV1Z0/jR9jdCZks7ZBqLLJe0oplIevbNFfx4eBcXIEwOy97dOSvF/ycrsP74t167lpe9nRqVn 98bm9CKxMLFBmE0jKLUuHMzFlD5UhXmOKjVl3QQgsWU+EI6gawSEdy34KNBGFyqkmElkEuQEN0aI 9QwOYBkD0lGN9rYLxAh6F84BRiPEaY3sHZJdB0flm3/4baZu185ek1OfPEEaaNTOgB1D3Q00yOCz P/bEfXQw1UKNjK6FWJ4ahsBgXT9/k0BTIOuPP34/3w/HD8wZamBgbhjdPyq1eI2EgxB+QFNhM2b4 ts3K239s0lRi2XbzmlnNFvaLUsJpcCg5pBGTFcDVIehW1LGAOaGBBmMXNRSWbEHrRfqavheOCgPO cGBWC+OB1iH7BcZRP1i1hXHU/VedH6hjmrm3jLgN3UKlsq2xyI7vaxTyw96cou2XOS10zHZ99pD0 jPTKB//0B3Ljn1yW6VfzsvibfdJ9tIeOxdSQiWBeUUg3Jy6k+52/tUgHgUWGSADMBSY2gH+DgVMj GuVIt+sCp3b7/IwWlQdTHGw2B4PtJftUFANYH/BsYRtAbHcNpVeNCBfHl/gdiKy2E3ENzn443+Gx XvJNpXsV4rDv2D6O7uAYQaN8Nn+OBXEUzHGun/jxx1hEhyoRBDiQzncPdsvRU4f5YMLMIdI8UE6j A5ruSREzhc4yNAuR9kFAIt3bxZsH70tlUh40BtfKz0m2rrWoOn1smzPXQ5QdsTZ+MExB01CYhWoY IhNLyxB12eK36ElxVg3xCe0INjOPmlkxzaIm1MKQptkIEPAZlarOK7WjtcH3ow5lg9d+xDwL58b1 bpEegKa+9NPqb4ojU8kwGzEidgt4rkBVIsfTcvSfPSuZr+yWS//v21JJVWTmF+ek72jGky4HIG+1 wrQhouFIDEhqVL/qLBpCk+0I9WLdMUn0JUn1AuaEa6/fkERvgpgnODxEakiDgKRmx6Vak+xMXm6+ O0GHipQvs6dbkn0aSaHoj2gP6OuOF3CHhhEXiKSiYA6H//4PP6A8PLjN0RHESAyFIpIxXmcizxey nAVFTTQ7v6xjVtEQ0zwo2pgBfuE3f1OhtcGQAtMN6nOzedbVcB7g0EHtg4cLgLK8NtU6gZ14mGlb 3i6aslZAZfpjaxjvz3hAah32oJTkc/ujLM8JGvLJWRgpnzqPECMpcy72X0ALUMciFCEW8wripJ91 vFhwDJgl9Mdw5Gv3ORsYnAu+CxFPHEV2x0qKFFQLds0nAvsGR2PjOVYns4gQQ8+5HBSJVy5Ka5Eu Li4Qs9Wb6WVtDtvBf0mTYzl3AGj4NFVDhr6wX0qRilzMXZJiPNsonu/gg9hqMxJX5wTGg+ztrNx8 +xYjpWh6N6MsOE0zfZ+S0kEtGBzpE+/fpuPs2d1Nsjc4L0iVXTp9mbWhXYd2ycV3LpH6BRFPMVuQ Mz/8gDilrkxK3n3pNGXPoNzzwesf8rOPv/gYR3zMADmAaCq6dtBcnJmcIzMD6k/gon/6p56S2YkZ wisWbs9rBIRIOBwiV/yX/sFP0ZlhQBhSX+D1QtqrjqXEtBm0wvh3gyvLf/LVAYEpNN4bpzAr/tx/ sE/b4OUazw2cO89tOEiH3pr6wcGBYG+nB5Q/ahbAwzQZZNq9oc/tQKRqBAz+zIYiFKq+rHxUfvZA SxGVQkZFIsjgEFfsCyIUkwMDbIFdRt8BmOCqV6dy1DWEKLA4jygqTodXKgW12E8Hp8PWxZI6Fvte fAaOLpfXBgAK6qudKC24l70RI+yjFfabuHz8Jz0cpHBkrF6XkZlRuXj7nAjA33cwa1D8W4PzCuMu U+dmZPbyPClfEDVZDc6eQkBajzywEmkN54V6E0Vhu5Ny8e1LdEYAnGI0BTN8n//1F+T1r79BkQwI b1x45xKjuCMPHZK3vvsux3rAOIq7opSryNzVRTqBkaERKc9VJFFJyv7dB3iPTL47ze9NS4/cfk/H avaNHhDJ1qWSrclAfFAWLi7zB8PBGLEBcyrSSDgUpLhwyqjTrZXGLk1lpZwt0TFvdia0HnLqOh9n hCsNz3FI1W1QA3G7TQELrV1Cx9BpDsoK6rFIzOvaEW4ANkHnpOw1fA7IdJP3Mk5x/G4yX/6DxjYR xfk7C8pIClCp1rrgPOGoED0ZhsocFr4b+4BID9+N4eeVJxVUsXochguB04JYLOYi/bCM1U9UQBLB hETzMQpMQMzibhk4lcYe3aWyWTeW5NrrNxlt9ezqYl0LP6stbqTuSNcoWJqMM8pCSlfMl2XXoS6m ahgSBv5NGRai3B5UqgE6RRo3MOrGdRwCORgJsNANp4J0FfgnNho2uPBBqBcMjsvw/ZhX3NhnkXr7 JeY2Y6phEPBYRz+2hsVGUtL/fK/E93TIH7dDdCJEb5GhpaGPEDaSPSrkYLg4rLUlpGuIrgzdrnOE 2mmziImag5GINyQNI4zASWPZqA9MnZjiqPxOBt9lYzxwXHCcEI20ziWcISWXHEaLRIMmvdV2ChzF fjA4KLmgd/Do3BUKHm/XWjc7mBZLp5ckWKxIeU/trjosMxx7794epoFg9Zz84DZBez2jXUyB4Dha B26xIGPJKOXbgA5HxPXKX75K3rCh3QN0VjPjszz3mEUE+LOnv5tODcVxOMKeIUXG45JFMfA70kU+ fbArJCJxkVJdxq/OcFYR8AMMYuOaRhN6zoBQR5oJFglymtWFyHcDHeYWcnyiAzzqca1FI7xP4FAJ QI2GpZgvEeKAgjwK/xg16iqn1lVQ/tg2ZlibycM9MvTAITdL2MmHdmY/2gUXYUhsGQ7KRCgQxXSl tbuD2hWgYohS/AVuGGtLLKrrHCBvas4NKg2NpZrG8Q465VYslcHvbSfJAhAMytISZgkhqBDldoi+ dyDSPJR+CHnQTmZrdGWCmq1matVwsqCuWc0q80W5+R/el8nuKen7ZHteprtlHDdKRghxQC0nN1cg pQmcCSIdpIdwXhZFgDAPsAEsdoy/YBQG0RaEYh/7/Cc42gP+KQ6oliqsNaE+BYQ5nAXgAyDh04dG gEX0c++cl7nJedazIBj77f/yPXn2p58mvOF7f/x9/hcPIYA9z772oTz4qZNy4/wtRmbjl8flC7/1 E7yecKK335ji63B4HOieXZIjDx9iKgsZMVxzDFFDuJUA166ELEwuyOSl21IJlOXAyf2bU7xpQ7z4 sQnLIrVQmRMnHZ1GX/e9kxRy/fd48ik+dtPGvHHYqFhQ9LZBR+Ncx5CyOq0oZZIsurILbTUu/07g RiXavKxpov5NO4mIvuyzHKQNKaDTv11Gd9AzcwKr7OQFK5IMKllgw9GpNBVpTRyVjMIfdD9bb0RT FOH3BiFDph3MdieQWCnoHibXl8i601bMFiV7O8daz+CRbi5WdLsAEAXZHArXHDZF4Rmp40AP+azM IIa6mt33iQbdClDnrYZzAb6sYq4kB08eIBgUEQ+K9nB0cG6oU0KE9dWvvkYc1sj+YUZHcJooxF8/ e52kf+Bjx9zhzMKM7D0+RnUbTAhM35wh6+hrf/0j+cnf+nEKt2LYHXW43Yd3y3svnZb8YkFmrs1K 93Can92Mw9IuboDyVh9bw4i3RMrNUZzOTCdaLCJyHFs0X43QYCS+2qsRC7p3rrLdBj0717eHSSLD gnb1MLiM4WJv5Aag0NYunlvIrVTA1sUzJRyDR/ihEpxvAzAVdE++DoA6Qb8Iq0YUcFwYHzKVHDsY 1KjQAICTU6yVG6xsM3jcQLkraNP4rFe+UaSaq0hhKS/1vuBd4TVazdjZGl9i5xIQBjNEVpnd3UpN PJeXIpRPlor8HUXpVF+SXFfb0cmh4w+H2EHkE9DnLJAGAroASAHqZnb/4CFCEGxJFcQBh1Am2YrW w+IqqT68T50blZwKJXYnoQB048w4/53tycvsjTkJ1IOMuvHapgMkFzFWHVHfnXowwVlDSRvOeXhs iGNHOJdQHp+6dpsCHzh3YOZA5zXZnWCUDA79pVkV+2ilB9pO4/UM1mXp8pwUgoOsZ60FroVvMGk/ 8wWNYKExtOy930cS0Oo7Vt6eYBp2BJ7uj9QlRPhHyodQkNEU0ipCDTBUTNQ6ZLYaHTnsJFkTHK4I WCmburZRG38kxhpZSTuAwaAW0PF5XBh8d6DamPfDDlJs1QdKZYewrCKRtn3WwoIByWWzrJmhSG/g 1NY6mZ6cqhQ9PJdquMHBrQCrYiEtFqWcK4r0BInruRcMoMjZq/MS744To9XOcMxwTvgBVKCwUCAe CzQqUEUGlisNsOkmsVmQHAuGw5KKJ+Xm++OS6e+RiQ+mZO7GrFyPhOSJFx8jYwMW4eGHD3mzfyjg g5cdURLoXVA7g5NIphMyc3Oa7KEAhkKc9fqH1+XA8X2MDM++do6zkGNP7Kb24dz0HFPCeqUu+cWc p/6zWbOFeKccFtJyHCtYLEAhjX/jfrtx7ibZYF/7+hty8MR+puTApIGOGuK1IAaA88pnC9I7lNlR h4VlV8kV5daf3ZTMyZjs+oWj6wqqWoCy1fS69eP1eqVp/hcWRg2KTsOFb0zdSIcc9pRwKKpQaDgB /D8YE/DZuA/iYMVxb3vuzfg8wzpH6GXpmyDsrEOrMMk6GSfFrVhuH3daZ1arsgjOKGwroKmoVptA rn5v778SDWLC2opws3GWRKpLZSkjtUoDSX33Iywc5+zVOXYMiVzvIFICvigST3vKMFjcoDSeOD3J dLL/QN/GJKjqOpsYC0c48Nw/0k/nAaf48HMPETsWT8eZciKSgjNCoZ0keukEHRLoihGFoROJaBF1 q+HjQzzHgF2gpoVOJUgAP/mzz5Im+dHnHpb7nj4iw4eGeB7w+fxiXsbPTsr+h8ZYoN+seQ/VnSBf bGO4FnA6ODeAciBCBJp/wtEpYwD8qZ94jLJl6OjCOcGJw3CcM2iQbCBV26zVwyL5haxkry1IrVjd sAL0tu2HHyvpnyX0HIRzKDZszDpUOMThZ8zlAZKAeoLCBhq1KhjqXoiaAEnw56h4nUwKbe4JRnbO O8OppZNpjywf9TMS0LmOoNWl0CSoVJo3ZnUy7B8cLqhpsG1EiOTkbom41iTWR00NYzhlXCiFDdxt W7y1yOgXrJAbjQTwOXQRoykhyBJYJ6SM46cnJD2Qkt5Okd5I51MRdgnB2a73UUDmr81Ld6SbMAvs m6LVNQJE6ucHnaL76DcswpH9QwrNgGhIH9hQh5jiU44sEJVkNEmgKWphqiQckEp/RULlMJlWtxIZ aYSlEIk7cZVJ15yMydzkLPcbjtw66jDl+oIQSIFTA2iMwEDOiHMTT8Vkzjmwnd1RpDoBynyhY76W u9pJLjHlz1ImFCv3hP2FZ6LTmwjqlW9qubxMx9Od7naCE3AoBR/EASM7WoQ3qS4rqPG1lvoXoy5f 6sj3wgFWK0wHkfpBCNOoaUhD42mqNeYBzay4j4HqegzfqcV83ODocqI72e5kcFcosmGYnjrn5Aqz OanEaxId2F6Jos0YEO/lQlV69/VsOW0B4JPyVfGIJPsTMndtgWNAu06NrAsPID0PMV9K4meG1DPd rWjzjZiSUCDFbODIFPHfeE+1qLOJ+v2NAi4+wzpoqSJf/7+/ydf6Rvtk14ER+e4f/Q3R+WgSnX/r os4xvviYvAw4B5SThzKEULz5nbcplPHkC483sXHupOH4UJtCqgcDJc/7r37AtBldUQhpnP7BGb6O Tu57PzjDwfGTzxwnrXS5WJZHPv3QHdjPgATDAY5PAXpyt4x8/Y4X3iwMFgTzXii2A+fULhclTiqf o/MAijyVSEklWuFrkVCU4y/GtmCjPuaompygm11sqnOhJgbxCSDX+cSrkVoZ2wC8Ap0nOFaODpH5 tDG7qA0DlajSWUcUbZ3IK3jQCzlGXGAs1XE+1ynEXGFY8T7GjsgFAwGNX0tL7YmYXE5dXuNkQk3F Ucg6Uc4Gh5U6QDxRvfe57ggZJxyb63qLHF2/7Hxeevf0bG+kh9TdiSUgxbz13iQjJERP6znFepva 2sSZKYmkIpLMJLg9zF+2fqGjDWtEtXiegBlkjYIuRU4zK3m6jL6Hi7hUlp/++18gp/sDTx2TE888 QNkv8N8ffvCgXD17nWNGWOxf+gdfkH//j/+TfPn3f4kMEO997ww/f6dSQhhSZH8HFnAQ/Hj//lLj 9xd/4wXv90OnGtTOO221fFVqS1UJ9Ycl2EHTyWrXOwERYZDiE7EIQ90GmCRlBV0LBW5cT4AaoEal xXZ06RqDzkpVY9qBiJJYrPdmwtRjUq05BxS7D5MFCIODPXgnIagkf3CKiNRQo8Jn7e8wFv/hAFCT guMNiAJQvZRPIRLYF6SYOEavBoa5NMfrRbIwRJRV7W5W0nUJrIEXnRmfkw/f+FB6+nukb6SXoEs4 KIy03Lw0TkDk/Y/fJ4szS1S4Qa0CN+uHPzpHLT4sLnChr2aYqQNUId2fapoh3G4DYn33gyOMtiDu gHEX4Lg6jeZGTw7T8QDqAOkrKOaAucJD0+DaREP8HqSkSE8R5aGGhWLyWgYKZUZTqwEL7YHhRsMo Oms1Kd+mWfcBQ6UTC0G37fw7F2V+ZkEJ6T6GNjRZvVQXydUoXxbo0GHthOl4H0QsQkChK6xhcWmJ tQQUvv1qyq1maZPingoSDySkXqtwOBrRAoQjtFOn0U3RId5NmNXYRYmhopR1Y/YQEZdj1mn6TmOB oKBqrc5BaDgXaCJaRxCObHFRud85iB2Lcx/93Fd4j3842/i6/BxZKkekDo17EqivKbj6zvffJZYI lCkonh5+6LC88Y035EfTi3RMg7sH5Ht/9BIZNp/5qSfpqI4+coRdNDzxRw+OrOqwMLayNJllkR0R xk5ToCB6Q7SFgeT564tkH8Xw8GpzeohWEMGgQI76EkRvUQQCY0S8N8qCMeozpGReBktGmLQ4E5cm JVALMN2plhwv2BqGz6zmrLGQurq7uA+guQFYFQ9TsEWA3A/nFgVuROfgkQd+DO/DwHZ2ISeDu/qJ wcKCuJMR1kfB6oWaSEEkBIe1TtNJV+0Onj/SUEUYbOA+4vAz6lTFwOrOyvssHAARpxqqESxWV+I8 OCT8GCo9HtGFhmiM7w0EpVKr8HUUxP3Vf6WXaSa1s45j6z6ZkyJnV8Slhi7XRargjf/gyR5A2geG VCUN9G+rnROw+hwc7kJuXqLDq4dYy7PLsvfoHtVOrFSlmC+w0wVsETpiKDYDGEmoAfjKIyFGFuA2 x/tbxUzN8LTPzeVYK0r2Oj29O2Bserh0Ds4S6Vg8EydyvoFmRs2qLFO3pkjehzEegDkhLoGO4bHH 7mPdhTOOoRAZR4Gsh3gpnDqKyIiKUFMqLytKfy0DfQzIEdsZFZu7k2SIwDgQOOzhSIHrQnEa2o3o sAHrpLORSb7vuZ95hiM/xUKJrBPxMB68Hzssz6hsHZLMyWHpur9v/ZQQp26HsLf0TcBaJhLEWZKF GH8wgN96DgvRB6IpwgyqZYmGsaCRjoUZ/ZgT0sFn439X2Ss2HiKgWA5J3oE3rZCKm6+18wfHR2xH iwgjPoMIr6urW6XQfQPQiO5grIW59JUDlI6QEMo9Vq9rdVjG6VOZLcrUdy/L/Mi09B3rW/VcIIIC Xsbaq5BIR0EX4ygQS6hVbynP+UJWrn14XZ1arkhGTX6P42tq2gdEkcBOlap0HnejQxlNRqVvb4Tp KNgUiotFSQ+nHQI6KMtzy3RWQLhPXr8t8XSCuKt0d0qyR/cQL/WZv/e8fP0/fpPRDLp7SIkvvHuJ UIVXv/o6UfLxYILOcDVjmsZh6/YLhte2UiMmyS++8fQXnvR+h6M0w3vsfWA3RUSG70AqvBMKRx9V q9fqEu6Ny+Cv7ZO+A7vXjbB2fH+cCI7hQMMIt3Az+mf6Vv0wIhcgnVFQL5clGU+qok251IhqXC1J IzFHLYMopFaTVCxFACc6dzBlX2iIofodo40HtWubonBtcAWP8phpnus8UqoMg9jaQAAlDdLLguek FDpBN2UIeFe/K15Zlqv/6m3J/3dg+RxY9VyA6hcLF616OGTUpdDS79/Vz8gDiwCjKWhTA1/UO9zH 7hS6PpCWx/uaTy7GbkpEp2Og2eYB74aR6mUkLaVl3R8Q40Xd/qCuhMYH0OkY38BgMlIuYIcQ4eC8 4jU45GKhTDl6BDC7D+0mjsiGsDGrmB5YXagDabF1CHfuOH3K4R8bjQzASMPSUQl2WjtlfXCnDGWo RoOKoznBoHbtVsUm2UdNLScYknJdSfysSG3FT2N3wOuG0YrHY1IGhQxUo0kvo61sgD2NRdQ/AG24 Kqr5rHBYirIn5sqp+cB01AZA0GYIBd6DOhulvwiKRWSjxXi/k+S+B8NSmdTUNjiQXnNGDQyYfhZM 0PeaoQNl1jfS/DniidoYkOggs0PtCIXpe8EwUI3uHyItjPosTy2TRwo1KIyKwEHDWYMUcObWDPUJ 8bdzb5yXgT391EAEtzscOKKbD147S5FXAEZvfzCz5nEC4b7W39F2Z9G+LWNHZ6bsr44xdp17/++K 1Rm5NLKVDXxyR/ZH/UJj/pA4LKaEHX2fgux0JEfR7SaIarN+cCToHHL0BpQ0zhHaoDM6i0F45Kri vpBi4gfAVERigFWYCGu76AonEt04I/Gz4nkrat2+E2ZQDTQF8Ls5RYuqjN0UDip7bk7q3QGJ7t6Y xt1WbWlqWRHfq4zd3C1jDa4/yQYAnnTTl2dlaGhY9hzZw4J7Ih0neymiKyjifOrnn+Pnjj1xP68T iu54D8aw0ClF9BWUkIRi4bb0zcsLy/L+D8/KzI05OfbofayPganh6Z96korTV89eo/OLh+Pyzkun 5chjB/ldX/m//lKjvfv3yn2PHSUWrxPjQ8nmCT8WpBCk2cFqQ6n5XjA/ozDDITiKTvXZgNvSNDIo pUqRGCcs/Hgo7s36UXS1WPAK5EgH0b0zUVS/wYEhpTTiP+NgJ67KgUntM4acR1eK4g2gTQa6vqzC GX45MaVQVmFWDk8zjVRRCs+xtXHSuSsLIvGgxPru3AVDKghu8tHjQx0V2bG4ZiZm5NrZGzK6f4QP jPNvX6CyM9IzyNkjPT546oBceucyOakwNIvrApXogd0DsvuQdtU6NVPfyS0U+P2hSph1KwBOQU9j hhqe34DQNjPU+/z1BS1DVFc6CURrOAeI0D5855ycePa43L55W+Zvz1NNBx3YiWuT0t83INVSxUN+ o06ILuzwPkXKd2qKoVtffv3vitXrdVl+d0au/SAryV9+VLpOrl4WMVNsI8759o8NGaeeod3ZJURs 3FGHEHxE8aQ6jTI4c0A5rDLwVk+CQ4B3xsZRGLcRH3T0DMVuZo6IqtAEVaqcGJwVtolUMhhUuAUc j31Wu3kBAlMBxwjVmmEMehYbIE4zFOMRZcHpmjWN7JRrUpjKSWWXSHgblJs7Ncz3jZwY7lgwAl2u D18/R6UZyF+BlwrAwu/90fdl8toU00uMdrzzvfdY+Ed7/41vvcmTAqcG+EXv0KfXxIG1M41kA9K7 v5egVsiP9Y5lVHF5A9kUCvrYx0s/uMrPocEAwQ1wry/P5ySdSfE+uvj2HFNIytgXyuzsIQ0HjQ2s K6ONF9jP/u6X5K2vvSNf+Rd/Kc987mlivnp29bCwvxblMl/H5NjHvFg0OO/y5ZyU36tI9YsrG0Pt bCfPHYIWjbBcSuj81ao5qO0M0O2U/MrnGREpt1SQeCuNerSKbxgnREYLiwuaUqQwRBwmah3Oh8PV wF6hTQ4eLt/soaHYEREtO4pkRGeZbnCZBwkiNSeEdBSOCpEUwKJ+hgj8rVRsJumzxgKodPwFd7Nq tiylubxUT4VU3OAOGBRuwFsF/qpODenX0nxWDj80IhOXJyTRlWQnFMPH4JNiFy4Zk8lrk+yi3YS+ Hz9Zl3RviuNTcHobcVg4VRjDgcEBEAjaHZOZy7NSKaYpO9ZJxIbOHOpT+59UHiv8Gw5s/L0JEhIu XFmUQk+BjBMDYwMa/ZPIMSzxRIygz2hCa59gKuV0A87H5JIMDPdLWUpy4Om9vJ1xbvG6iVq0Pa5a nc5z5vIclaM71X3822o16GcWqsTgYTRnPfMLFO+IIfAAq4pDC5AiWdk8UTjXKIXy047xD84AzoVj OdAnZFdPGUSDFCwtSrInyXTMhCKsyK0OCrQyNZmfn+eXxyJRSSTieqPwZvTNBrqdM3FXi8D8Iz/4 MeJA/JcUOHUnDmizZga9aGIj1ZOL6AoME9ZB9Ft5qSyV5aIE+8ISju88pECVW5Zk14Mtlfl1DLUu SG1BMgsGvNel967IiaeOEWuEziRqjTg/wEWBY+nUcyeYbuUWlcUTgMuNGBwH+O39ozJY3KMPDFNT EX/DeA+AnmuVFkC+F0tBMUmvLaJKE9yA7X1it7z7N6dl+uqMHDx6UM69eYH3D6JHE2NLAAAgAElE QVSqvfePyZUzVxk1BsoBWZxflIXFKsVdP3zjnNSDdXn6i0969MyDR9ZPZ2AQ+oCG5FpjQn9XrA7k P/j2IWvnY/MwhhMFAOlSs8I8a9XrZGibNZ1iUH/kdQn97AUUlwhG+AY4A0RUcFrKeNCoJdmOGqTB iup2s8JxEbYQ1FqSDSPnUWcqCNHq+Ay0BVHHwvtRpGXNqkW2yzBVRuNMvvcoisAhTyjViu8srkei q/Lz+BH7rVqKke6IDP7qEVk+emtztLsbNDgrRCYmBtqpAUKBIdrr526SH/32Dch71RhJHTp5QC68 c1EK2bzsPrJL3v7eu3w/IhN05xB1IS3caDpIJo9idUUEgpRq6L4BWZxclqnzM9Kzq5vR6WrUNcuT WekeXf27Uch/7MVHmZpAfv6RH3uoaeDX6mVIRz/35c/w/OH+eOz5T3CsaDNNC0R24ShEbu8+ldDd tnqlLrV8XUKJZoeF9ZJOp6kP4M//lV1lZx2937+wSwhDLcpUmBtMBg3n46dDJgK1UqEKDupCpjeo itDNIE/UjIzBwV4z5wIeeBViDdOpkVmhVPAUoQ18SgeGiMzH7oBuJKhsUqm0+56Iq2Np7aodMNOO zZxeq4V7YjLw9w7K9RmVqNpJQ9SAUZjh+zdOxgbaFtAZ+ymN/XbgxH7vd0ANtsN43gpliSbbCxOA rjjVl2BqBQkuUNAAFuHnE0PqBXjE0NH1Ix9OLYQCHmsq2SKi2iHGLYZtITqzJy/+vdYo1XqIenQt d5qZQHUTq2QEwfXnj9NRJM7tHgjw6qWa1Jcq1A2A0zIz1SpTWTcj7s7N9+6E2eQK/AswnCy6KzK9 +U1+M8l3czQwOAdGOYEQu3TdsW6mf00HE2zUs/xmIaTlpXBo5iyBCFdu9gYLKYrtpiDt3z40DeG4 MHFv0RYcl+2nyZS1w9ishr1BQT+Y2vk7BykUSPZWG+69F1MFpLBr0dAAmT94uJ+OOD+fp4MD55Y1 E/ILRcIjOoUPZPb0yPJ01nNMyjQC6pMgQa1+XUEMXG92SFzVs3WIfjuMpYdyjfQ4iBQxM1kplFkD pAM3SqUaALJlAmT79mfuiQivjjnC2aqEBkMSiDb2x5+F3Um8mjos9Qnlcg0UyWAvCLZn32wxOCh0 62znWfAGiLOYdwfTwg6I+T3HjtD0OqO1BtEf/kN6GV+3Ea/h80rZrA4OiHVLH6nQ4/QU6fRct9Lm D+0gDcjaDE5tj+onJ3ohJ9Gune8QQl5dWRHkI2GIQuCs1oNd2ExiuStGIGxuHgV0AEwDZCdNrDGO 02qQkcd54sOsVifjKZwL5hzxwDEHA6egI1ibpH6uri+qymJ0Ufnq9feK7of3pG9WW/AWths/s4ct dRwdBs1YK+ZvLGoj6W4/u+qKTIj3piV1sLclwlpFfNhPGbRDZizFjLDM+ajDMhR4y3G41Iysok65 hhQsmCdEh66Q479NUt7MhCL8DUiPJQEX0H2X51hQ4/JJgXEnoX9YKHgXnMrTCQhPhMhKakPYyXhC SeFAGeMTe1UEvI4MYV8txKxUi02HWivVZOnd23Jz+ZrEntv5DiEXCdKeeyEP6LDOs5LnanVDDQvd T0Rb4WhQYukY00EjyzMeKhT/4ZDI9w+mUcyK5op8nfxksaAEgPuCGlKgJrVQjQSC2Bdznm4wYtOG +3H+xoIsTi6tuh0QBFD2PqH0OKSBJruqEG6B/aOyuZv64NA2RsUqVQ7FQ4C2nUMtO5qcewEHVq1g siQkh37xlAyN7W8azbFm20rntPMRF8s8ThIwDEAWlXIIBl292o/3oc6F9A0OAu9lpxDOBmrNxSLh CwZv8IrgPhyU4bQoMe9bqEj5CCrFBH4yxY4k9k4LbTUP+gBnFKzhxIHEL+lxx5M3J1CVaCzGiA9b LpUQAWp059XdqipkgcgMaHw/xTPoYM//T6/I1AsLcvDHt6fus5Zx7rGi1BwfBacFhxXfgKAszjeg GpV8hbqJiEZQYwKbAmYKf/SNN6WrLy2jB0Zl4fa8TF67TeaFax/ekFK+SNqek8+dkLe+8450ZdIc Ni/kC3L9wxvkazp66qgMBrX+Z9HRZsUk8BlEPelVKKghZ4ZRpEqpTI6z6csz8t7Lp+VX/8dfZtcS oFXQ6aCZ8cFrH5KL/f7Hjsrpl99n1xbjWI9//hOrOnZEWfeAvxJylBUCMnpqnyS6GoBfY+O9W1A1 r3SDrIusB24OsFDPU1mm1WOqco2rOzEVVGeAgjscUE93D7tUQR/S3ZxNK9so4A6tWobGToocNRis SCqR5L/BAkEohfFYOTZSFPn8g9HcJ5ei2qgRivENllJXuAeWqKoikbgx49GYpFJJOuHc8oLMvTYp 1Z9UDcadNqQGxansPfFk7cSAZQIj6UaMHO/9SUYvc+DZclzwGLcB6h3g1uvnbsj+43tlYXqRIqq3 Lt2SBz95Sl7605fkta/9iIu/qzdNlDsc2sL0kpSWSoxa/Ok0nCFrbJuoYxEQDQ4wpK6t9dtqjWST cNa1aphQioOn9slb33ub9x24zYB7W8T+zyxxfpITGdGInHr2hFx+/6q8//L7qzosOkjXQb/rVg1I uBAh7rHVNMLqDEi63eZFdoiwjF3B0rJEtaqy9Y6J048yNb4o7yCATq9UyfmO2S3gm8DsSYfgONs9 xgYTpHDSYWasT/mYTkmPnM1KVxqCFApDaL2JYlHl1CIboQ8LwnSiVOQJzzvZ+0x3ho4T2zRGU7Kr VjVyw7HzAs1UpJyqSmgMGnk7fg1YfJ69MveR4WJiDctX0+jU0O3rHklTTzEU02sExgbIeAFLBp4s pH/ofCKdwvkA6BUGBgjQwETiUfKMAW+Fe2oPcFj1QFMTAM2LzTKHsh7muNRW/I3NG+Uvq4dq7EYC emF8ZtBRBAtHdj7LtQD2DkRi1nB681tvy2d/5fm1zxFqWfiOjagYbbfBZ5brkvAJFvvNit5tP8r1 u5OMF3Vv7C88NzdLFDpSMbyIRU3O9lTK43FHCrZenQDzffihMkg8oUhzOoiix2uF1/3MnzCLxPwL V5mNA1IqFukAwctu4qhwqqWyRkiZngzbrIz0Av58Wylz4QjhlBaXFqU73aWUzQ7sis4mU8Z6TbL5 rNz41nmpxeqyXMnLhb+5QhR3uj9JEjt08zZFpEcV3DZpChhoZ3MEKyLVAup7PSe5Im1cWUpofs82 Ol0wf6K7tVnJMzgV0DBPX5yVcm+CA8rn3zwvMjYk/SO9ZAmFc8IcIBwXiPfwoIJk2A2HNUOkBVR/ NBaVAw/tY6p5461x1sRuz96W869ckie6HpWe4W7qH8Ih4l48B3LBVIyzlCjav//DD+ThTz8kxWxB xq9OSldPl4ourFKwxzbAYAowbmG5IH2j/WQspWbg9KLsOjDMcSgU4wfHBmT80oQU8kVGjN/8w2/L kYcPMQ2mM3VpK84nRpvg/NDdBBQkO51z3F8qAIEOKVhg75TVMf87W5SFr07JzK0+6fvUnhVcWKvz tjvC/h0KE602TbV3zAbCe2K0hfQr1TLxUSqqGuMix44yZYPjaTfiEFAKGVLlOm1B43gH9ADIdjyl CLEnst3/UTgXB0BzlC8AlcIRGZSB9M2lIutN5MkCiyk03vJghohLd1xnFk3my1JX1NhUEdqBYKGq 46iXexwXPb4ju7gs+fMLUhipy/7P7CdiG5p4ufk8C7G4QXHD4clPzqx8kXN8WmR1MtqhIF8n/1Yy rjWqkoqY9u7tWVFwx8+BZ/bxRr30g2tOiab9BWf0m2ggyJUWJSDhuBae+eRB9OKDCyDl7LRrptGA cujbj9+Ky8UtU97AaWEbN98dl7GTu8n4ges0dt8ez8EgjXoKcvbnbsjnfu2zBLom00k+VMaO7JGl hWU6LIzpAKsX64Zk1px86w++K8/8xNPyrf/8XXn0cw8RLPvoZx6WiWtTVE0GCh58ZFffvypvfPMt qixfO3dD3vr223Ls0WMyumeU+4hr0g7tfuDEPrLI4u8ArkLs9YEn7pepa9Py4DOn5OJ7lynR1ZPp lrn4HNcI7p29h/fJ7Yszkp8uyNEHj3DkhdcmrvsOZ4i6GaTW2ERw1xfODE7sjlpdpDSdl+zLM7Ic m6PD8v+RgUWbj1lDaz2EwdpfjbXPrTVtl3/zNQU5/FytVaRQbOSm5JhyewYnpbTHIS8KQ1EdaFeO 1fjqUnBIjVautSLrHHiGYUwHFMno8NGhuXSuJlr0t+hAU1QFpnrdQhTrQ9oUsBlAr+5W0E5hPJZg asduJ1JXF3HYto39FJ/FMaAGBiM/fEGkeD0rhRMBIqWnx2fk0ruXpKuvm8Xe2eUZmZ6cleNH7qfU OCKyWLAsBx84yOFjsBagzvLhmxNkFH3oxCnpG+3lLBtGToAEbzXUddCy79vfK4NH+te+oCC8y+Fh UG8eUnXtffy0zsst3lpahZjOVGsUOkLx3GiYwEksJKRtBs40w6yfEfhtxggXmc/T6e86OUIF6+E9 w5LojjMdgio0fsweeOq49zsYJ8yQipkBfEl2zK6QDB0ZkMF9fXLm7SqZKACcxfUuFfBgCTPlzC/l WEeC9BfusV0HRmXugXniuSClVitVJdlXVuLENtHp4Mgg97+4UJS+vn7JdPcyUpq9PC+96V6RUkCy E3kZ7BsS6RMJVINy5PghiT52P9PVWDrCTmknkbqhIe6UIjWMosRLZQlnAxpZtaMQJzXUyoegdeIb 1ijQNx6yK+vi7jfv3yqarD7E1K3wfYax7M30AofVqBEZBB70HAbkRIRi0YqNtCSSSa/DZqM0iphX LJY6CoVIkH2UrKN1Wcou0bmh3hUJa4eRqVsVXFpuyDoWJ9eV/0ApalEsSBLSYi0wCfXwYVnOLbND yLGcsvKml2sNKTBS0gTae/DidE4KM1kJPg/SfaEsOIaJUWsBDTKKqtCOu/bBNVK3fPn3f1n+5P/8 M0n1pElQB4qXpfllPu1Bjzx2dLf0DmfUmUidXFdY8EB+2/dijAQ0K4zAxpojsFYj2WGbodxtYc5C IyKvoEY4UHT0kKr4z/Hc1XnZ98TY5jYPJtXFIhV14LzROQTSffbaPNO6BAgLN8GMASAmo7a0wiSK 9ZJkRjJSLBQ5qoToF/UkpGaok2E8CbJgSD1BSYN7avLqpHR39cj9Tx6VeDomy1NZIuvbGQas0aVM ZVKS7k9LLVKTeG9M0n0pcn6BQRVRFu+1YonRIh4Y4LEPJ0IS794Av5onHYfazZ3tIAfCQQl3RTyw r6aBTk4vrNfJr6xuwG6/07JoyHNCzgN75AiuZs7I3v2+mrWmoGEq07Dbh6KWgkcRZeXz2SbcBWf9 wMcOHUIOIUdZ61KvG5Ca0+BDJKYLtfGgsiFlpUOuSRHDlUEUu+EEccBA0aszRL3Miv0Gj9B/hzyS QL/ZjBHpm12agciw9X1tsSKOez4QC0nvL+6T6U/c5IkFjTEiJNQscFLhuPD5vpE+HpcVXUETvP/Y Pi4INhkqSh9sJxl1CIAnsVihthxdLklqAFztemw9u3tk4swku2dr8ZvvqCHCSkb4gy5ZOwPgc7Ms BuVciYylyUxccVxuxKZ/Xy/nD+HMcfzaQex8cSK6QUTYM9LNESWk4xjwxnVJZ7qIkQKcAJ1HRG/9 u/rIH4aIDbqFcCgYLcP78CBButp3oP0x4roCugBywcJsXlLDSTn76lnOY6JGBfhCIpVg5xL1qvFL 43LfJ46QEufWxXGZunFbnv3iU+Ty6sSshqs8dXcOWVwr1iRcgiybCskYGYEZ1ru3xkCE6bQ8sWaN lADG36mE1TD/zLL+WyPkSl1hRdoo1W6p6Svgd5QDYAhE8J1hXDiDvxvlsR9H1fhCPXlwHIABqAND LQG1kpDEg3Gn5luTfItcvQ0o+6MmLnA6r2KDFcIB73BibHhZu40ApUZXoObxXdFoomnGcW1txWZj SlqrSWKsS3b99nG5MTfPwjIKvLjR8FTGNn/wlVeY8qI7hb+deeV9/b5gQC69d0lCEbBpDvJmRfoB FDSe1EgvAQUoLBY4GIwIBm1+M9RL4NRA0bL7Qa2j3GtGVo1KbVXJr/U+a7OAqNn4HxooMKNWiIgu P5cnTgsEgZ1+D8Z+iOuKhOThH3uw6W9+imq/HX3kMH9gSO+eevEJhbf4Us12hjT/1sUJQhbIPzbY wygNFD1oCEA+7OTTD8jlM1eoPg1xDjBLoFiPsZsL71yiUlDnpvfWTneQK5wcgNyaovazkzkZKEMQ N+XpjRpMyfCO5sQM+oBgB/Vv1Jlt3aLkgv+tdFKsyXiSelai8f5mjs3nsPzNJDosRAQMY30IdQA7 UXDP+jimdBhZIxqNXjADWPYiL4AxMejMmlakyk6cIVT9O2RmDtE8NlMzV4+CcS4wEhXU2HQ7SA39 zgoRmeoZwtna/rAAjU5iCxNDO9N90O8GJY4VQg+dOkBSPBTP4YSgsoLtogj89BeekIWJZTlw8IB0 9aTlgSePe+9ZnB2SarkiPZmMLNxakuVJ0L/o+cNixIiKX+YdBrqW+ZsBjUJWiXDupmEOTiXqA5tz djan16YBgG0C/wTsVG4mJwvjS9I1nGbk1EmExfO1yYwJnFxYsF3Alq2zDQhv4D4B1TMxfaEgKW6g FkRpsXCY3U0cL5xaZqCHXPe4h5bnM7x3EQF2bK6GtZ7QrN+QxsPpoBOKWiZSfDL2ujpnO+MkAUaE QHRpEQ1qg0XFLVoQ4F+j3GZdm2HcBgRYQKIJOuw8CAmKK6jKW4n310PG+52jmZEghBGdII3zawAS QuBUaPx+Bo4BTsL/XqWOceIS1BesMNcldTHmBb36VkvdKRzyCPZ0hAbyXTrvZzJhYHGAN+/q6nKd R/XaesB1enR8rx2Z1dGwH6u3YH0XjPvmHFZuWSK92olDqO+nX+kb7pPsdJb1plqlLv0DvbJr/wid zNFHjzTRA+PmmDx7m8o3WOhIJ0DLgoXYjlGU8Ixd3bIwrkR+6xmk16dvThMCgCjj0unLcuD4ftl1 aJRPeNAhH38CvFi3ZfrWDKmQ071dhAQgpYVK9UYMRemNkAtu1Mi0AWaASJrR2MzFWUkNJjk0vZaT hLNBhLWZsRAsOhxXMBLqqH4GRwWHhG6gqYwj0hq/PE42DDC6Xjt7nZHa/PQirwki8alrUzIzMUus FggvO94/kBxmS4pdAyC2WKEDqqK2SGsucMNwb+HBSWYLp7aN+y+ZWd2p02GRFSNI1ezy7rzETgal 1h0gWJZq2k0EfXBqDRV3npt4nPhLwiLorJrH+/T6bEcdTmdHw0jLgq7Y7k+34AjgOZeWl70oCY4M HF4svqH2AdQ6ONODQUmnu3hg6Cp65H+RCGENoIzBrJ7lwyy0+WaTMOCMm8jPnqAKzCo7j4I/Uk9g wxBFmZO1AWx/nm2sop2o0aocmL4PT8AL373ExRlJRr0LCjgBnviJTEL6D/TxxkDaiE8BRwU8VbIv yTrWu98/LZNXJqWru1sG9/fLuz84Q4f13E8/LW+98jZrGlB+np+el6nr0/L8L3ySLXcgv6u5uvzS 7/+cxNx3tzPs46t/9Zo88eLj8v4rZ+XBT52UPYf3EAaAOgnOWaorJX/zJy/J4uwi05D3fvA+keSo s5x4+viGHRYWyWbSwY0aFhecFDpp6K5CLxB1rf6DvSuiMy5cp5O4GStly6wrgiGhk8gREJaTz5yg xiQcFxwYMGKonQFH9sKvPK8zg11JzhU+96Vn6LAAhRjeOygPPHFcYpG4zF1foPMBU4d1eJtNMT84 Xp5z0nwHJNITl/Rw2GN6aGcGdbHIRI8L2wp07CQTe9My8rv7pPvQUFPG1cxq0rzPzWWjLUgYrbd/ mCcNBRxbA9KrlnYli8f+orYriFm9qZDPM42ySEZTtobSDaKxcgU1Je34YXyHIE8o7cSU9YGRlksN VX6rkcOCmRTe2rYPbBiK7nCCIBKDsyRdsrXnnRncoRMMGxZ4JVeWC//sdblZvChH/9FhPt2bntpG KOFqVn7rP9hHMCS4n9AdRHF+aGRIzr93UR75/INy+KFD8pf/5msk1MsvF5hqAjIBpwVBUnSXTr98 Rr78e78sf/ovvsJayMGTDS6rVkP0hIYAOM9R6wMWiVFqIMB6CtIRiD78zZ++xN8RJWJIF3NuUKxZ 7WZfy7CwUJC/E4bzi4hn4FAf62bZ2zm5DN53F4Wis4rOIPYJtavNMIQqJfOyJPs0Fe1ovwIgTUzw PNopHNozRNBn9nae3U7ANuYKi/wbbsmZ2XmFUmJtRUNSTldYIhg+PiT9Q2mJAFe3hrP07kH+Rymg 7kiHMBNboUd4J+lkVjNzhhzNQZSiWActqBsOAg4Bc32LS0t0UkjBONJCOINDv8PQ+QGNci7fqFk5 lDAcH7Zp8l+ZTIaLzYrwiJQ0P1blHnzSUPfZ3DJTSnMuSp+MmlZBJIbvDBLtTp54Mp8qhF/rXusz IVokWLyVldziogyE92xIbTnWFSXw78or12Vubo4pYrgbjlZralc/uEYnBuFUOC3jMPcWZzzK4d// +L/9Z7l9dVoe/dwja39fHLAIZQ7AQ+bGhVty6/K4nHjquMxOzDI1QaSXGcjwTOJ9MKQKfBC0RLGd GCAPiHw2ZZu8zwmKjYakZ3cXf3DOEM3eeOMW60n4G2p/m6mrFZZLpIlJ7kt6nGj2cEPNCJgzdDbB LEFqG6+O1BxhIBJE9I2IHPvSd6B3zdobanm3qnWWCjoVG7mjFsBkcYDH3KkhsDBVm502On7UsBDt AKrAopbDRHhhnoOlIzpCtJPNLtMpxGLR5joWZgR9QE+YDSsazktBng7TFY1y6BgpJlH0boHr5xR1 b+jWCDi1fDOMRrkM8CZD6kCeDYJEIqnke4Bm1DqjvCBXdCggoWRYZKGZxLATgwMChiqzp1vSV5Os Y4QkzBGNG+dvyA//6nX5yd98UXE5kTBTikRXQhlRyTxZlc/88o9xov+b//470tO99nAx2uL3PXpU zvzwA0ZMkPoavzjO63Hk0cPEj6G28sKvfprOEmMoQIhj9AXyXugG7Tm6m6lLp4aibQTnZxOmqZyj T9mCYYFDVQc/uOagR4bT6gjJj3sQI1iO5XPq7BRJBlGPRM0MqSEWKaItRD2AnWDOE8V4OKPt0iqk X3Tq6PeiBVz6WczmCaLtRIDCzcxsq1kpxz9m5tGKAeluLAuICsIky1PQKB1DRFvRiIjQMbTiOKIc w2DBaaE72EqdChxGq6IGO3ihkCwsLTISAsrc34HQjl0D9tCghfEj4cMe1sm+z5DrgEWYgCsMjo41 LR+JfdPJgVOMhCQEUrUlXZybMezH4L4BpoFXz9yQAyePSC6bp+DnO99/j4V5iH1ieHfvPsyeTXJf QaGCtBBO5vmf/xQUQdb9rhVT/7/Q+BWp5mqtfT9t8kYMjhWwjXvFWFCOhFhnbLf4rTMGxk+jN0LN CuNFwMIhYpq7sUhcGKYMEBXNXp4j3ASd3B013Nv3qMOCVfMVmX9lQhYX+6Xn8ZEOnLWDILT1Ws10 NO1A282/25sdYNUPqfCRMxDpzo4eKVeCEg3FeJHhRKxGZIR5/m4BIi6TmefBttDSWKrpd1hMiXwh uCnXEEXrOJvxZ3OEysDgRhTctuHw2qlCG3AzV87xexRRr9EZGgt2TK189RAfiPXFJTYdlFKu83C4 1bC9vSfHpH+0n2lFJhOXpz8/wkIpQKGovVjr+ciDh+XYJ+7zsgxgduZuLFB1914ytrFBS3s3WQRa jNcRuLCwe1jlyk2pWw0TDnllJrXBc9QYMa+3WrcTozN8/x0chbkXrbJUktm/uinzS33S/eiQBNyD v70D4v83fR7BjmZTDsjg3rOC881YSj3KZUzHWJ24oZbFWeI6wOKKvySmExsjVYajcWUxu5hjeuVF OI5NtMFjpVEWIiRVUm6OTAzX0UoGiBoW0j2PCVSA/2pAFWxmyDodiNJQm7JjtQHMtSSFbAzIAKm2 TTpACUnAsl0Ha8DxJvZ0S7gY5LT6VoyQiMGUUgTnK8rGgH1BCz0UUJ5v1GDA5Q4MUk98BaDybhlR x6D9LWHBl5XMDWmUG+7erOHeM4Dgdhwn9gtwjqWpmhSzylqqtTn9O5wrICRriae2GhD4OGY6wh3q iN7L6aDfqoWKLH84J8Uby5I6hC5qwwmpo3ElI+eVmM24ZpziInXyxRxWQFRT0ECjBi43kRnLqvyN PVOA92Mp2YirQ4/SeVF4NWKakCYxEmo4BaaLnDFsQB94AxKHFSOUAcjXUgVPuprHUWWATh4rWq4+ Mi5DpfNv7kYmwwMit5BTj6aXbaSDeL01alvNrLtIKmeQ+oUaTlJPmv6NzjMToSMrTLSfI9uMoR6C bpep46CjxG6Tk6GCc1ieznE0JZKIrir0uV2GxYhFiRQPrAGMJpva0Bpd2FOOA+ylraeD2JYftbxV g8PnDBqvZ0CiXTGJ9zR0DjdjGMsB4p73riNWx1P95oWbMjsxJ929XZwTvPjuJQJGQT4Itgc4Toz6 YCYRfF3o3mId3bw0zi4t1LgBbdD9rjn6mHvXgomg5DIluXX6mqT+qEf2/dYpiQ0jTbaoyZf+mZOx xoXRpvu7/c6xNdejVoNluO5+S8e/UU93YjhwEKgRGbIV6RaKuK2KzEiryNHukO2YA1SV5iJTR0Om h+KaOsI7GpUMKVeiCvI0eACK0HBGtn3vQJASMjWsScGn3Myojaj2zaVNuBmNCsZv8OTJ/d2S6uuS pamtRRPtDPvdNZTWVMbRlyjLpNK2IKWB8wJ7A2oqmzEsBqRFNsAMx9TqILT2o6hmZQ+w9MgeKBgs VbAhGRsiIckvFOjgtmKu9+IecNsQYVVUFgsjT5sZmm5nYGhg7atUVbYGN+z8watKd3xz7pbsjYwR iAuoCOYKcR4xsgPsHYRqUSO89sF1OfTgQfJvoQGy6+CI57D8ZY170QKgJ76djYoAACAASURBVN+X lv7fHZPCH83L9JvjMnTrgIT6lfQAtlqg0O51C0o2Y621b9seU0KEeIaNQmQER8UQz0I/ZyrrFZVQ MtmY6wkr8t1I9nL5LP+Nrp1tD0R5MJW5x6iP5qgo9IdCmDNscKub40LNzD+mw8+76G4rCrOtJ9BC 0uShHjn1Lz8jxdm3vNGL7TY6DH9KABXsrhh/EP3gCb+azBQcGjiS7L9INxseqa7iCPEIhS+R3vgR 8149Ad8PuSxElGEtXK9nHrX0Vo47FGBtbru63zhX1BTYRpVmbAvng2MsXRpp4tiBbTv6yCEK1MIw fgWoztzkPIeegYkDIBe1G0wRzI7PspMLDvjMUEai8bs00L5JQ3mi/6lBmT5TlOLFvJQWld/NrJ0D 8lK5JsqYtU2dj8GY/K+78rbj1GtyWihZgcDPqIWJxXK1pUKpSKexvLzsMFYWUYWl6DpyBIpWKx6y HVADQAvwRXgN6SC6jOlkmtuAI9QMRMNERGYqaKHVf4M54HfUufyOyWia/fCG7TLOR8Yj0nViQNJv d7PNfadn+qjCkivL7JV5mbs23zJDVmfBHmrK4KwC3TCI+/zGWoEreHoR3DY5h4Arbm/WdIiXGJJt 2SdEQXS62/xQQdSGB4FFgqwxphOyPJ/l9QAcxay7v4sgXsBURvYNUVQDDKa4Z8G3BRGNB546RkT8 R8oCmDgISvxwl/S8kJHYcIf4O3dpgwE8BNfutCsZAt6HsbjGerYatgLZ2xAYEJ4CmS9fqheJOwI8 IMyBKg2HlVJCAjor6FNMRiTFDqGjgygWSxIolViIR4RF0rZ8ThaWF5gqYswnmNI6mVdMdzUtTneX SkSws2MZKqoIRRBFdpV4QsSm1DOogW3fzeqn0Nm/54C8d+utuzKEjJQB4EN8d9uZQxu5aMnzd3Sf OIq1tXMN0Cqc8WYZH1oNXUsKq25jhAVDA2T60qynDwgurUeef5B8Z3uO7qL0GPjOluaW5PHPPSqX z1yl03zixx8nZxqwdMDIgakB855gc3jmi09J33CvPrCBZ9sCCeKdsiC62ke6pOfQmCT3tFf59hsZ VLx6t2NjWCPUsq6gBiTNdQvzLatlUcRhoX6FIWPVGdTf2Z4MBqS7q1sWFhc8fipsCGkh0jN013Tw uHmD8Jq53CIHkPHeZCJDxPXSEl4LknlUGUURcTWchUV5M0vTdJIAqyLCY9QHjio4zCAGobt1ntDR JG81ZYFjVdL9uozt3iNX374ipcWSRLoalLV3woAHA5ndWsrKmA88+/p52XMYA81pufzeVUl0xZU5 4OqUzE8vyNGHD0ssFZcrp6+QDgepIlIYYL6G9g6tS6XiN47AbFJN2bM27e/NGpkE8ICNNOiit8uQ SldLit8ydgrwaeHHDOfZDHRCZocfPMgfg6g89sLaEwv3vAXdfzs5x0yYrA66+qyj35jaAUrSgi7w w47afhU+hzCrhrQMNwFGIpwYKqa10yllUGw4BS2+Q/+v1QuatJfSQIR4EIi68KMpX9rxT4G+GClm XCQOJlCIVFR1vpBS90HSHmMbDWoa7RYq+V+J38OIjUoeZSLo9fxu7CZWyIbiyMikGo/LqZ4H5Ov/ /CvS8/MD0nN/zx0Z/IWhg4QO2GrjHbiQf/av/0Ke+5ln5PVvvCknn3mAfuDcmxfk8mk4rgSd0at/ /SMZ2jMgf/H//JX8zj/5byS7UOcwNEjrXvjyZzbksLB4oxt4f9v9Rnq7TerASAdhO3VNQIODaHC7 ivnbYdZhtTS/7sOK6aTHSnEILnwlXFG66w1GWLVKRRbOTklB+iS2a23WDO6HT+26s4MyqEuLvkOD i6D9xyDzhcFSvDMZUy1ADBkbxQuK5Dq6Y5FUwMNnebzqdrLIHBqkGrPuBP6un0LkxHoYqIF7MOaD G09boipSodEbBnWB4zA6ZtbV3An3p274HfuJTiNpk33t1MbBNzqca5mxrOLzcKzLb01L5o/rMvfW VSn+9qD0PTso0d4GtfFOmd4oqzcU0LUC3S+AqXA6OC8QWJibmpPcYp7dqIHRfgqNggXi3ZdOk9YE ggmYMQQ3E7bRiVHNBQKoc3nSGm/FtDumXcitWs11LHGuwK1fcscDCMEEFHAyXYQWIJrEsWNgmTAO N1MJ+h+o36Crh8gJ5JWts6GFpYKkBrYf8b4ZUCrWA645piF6+jU9G78yySF6zIyidoZjwLUFsyoy DqSgGLDHsD3OwwNPHiPDRKeGfSxP5eXK/35RMl+Kye7fOC6B+FpOr9HR20i2074B5gSGWcNtZF76 X/1buCvVxRANXT4Uwf1vAqgTw8lNqhgOiY60MRiIOQiCzv0hOgv5Zgo9VDn+D6AyJ06xtLyk4DDH EY1ojIrMMciWa+EdcmAEo6GO1cbpoNYFx4bal8qQBVYnxicZmopirGXYt8HP7ZNjgbpc/bfvyeQ/ nZKpXyxK708PSXIsdVeHVuGgIHQBnissVHSwrpw5w64U2ueLc8vkXkLbHSNA+rMk8VScQ9aosaAN 32o4tRj2JTqcDlNJ9zDGgo7kVmtYjMS30OJeGWFpDe/N77zDhQier0//0qfkpT99mQo8xx6/j5Q6 ucUcIQmzU3Nc0BOXJ+WFX/2MnHn5farq/OJ//3MkZPQbUvLbH06LHFjnmJwABoyQDSCx2+Do/O/L zmQl0bOx2uj0zRk5/+YFSoqBFiidScvX/t3X5Xf+yW8ysoa8GEgmR/YPsTMJ+iJQCpEh9dK4vP2d t+W+R49syGGB760MqFMAPG4tnbo25oE+277Pj45XJ+Sxu7jMzRvBczVz7oMHgTEoiP6OujkJ/Gxe xx/ZWMpHYVLMCpJuBuo1ihovFICzQlFW6wkmxWVdRxup0Talxn4oxht/FsUPytAy1JQRdSv8DlwU gaqGTnfOskFjo11F/BuKPPgd+41ivH+//dguOD0i+HPZVQv2VkMLp6LS/7l9DIWTf/CB3PzDKzJ9 8Zp0/dqw9JzKbL2ms4qh9b+W7h8c1uMvPsbO1NiR3S7KCkt3Xzdb6hgxQmEY3anluSUZGhvkeUfq CAl1PI0H9gxwYZWWi1LgXJ07V5Adw3mz65SKksqFYMctOmksgHbUPBs2PCgh5IkCdqnM6OHJn3ic Q97A10FCHtETfhBRgQMM8vLTN6Y5f3nl/Wvynf/yPS5y7MvS7NIKhwWhEERx5AAz2AfKESUHJzEO KwWWNU3QtV2wPgpgTDugsL8RwzHi/ONYxi9Pyv3g39qtCktQwj508gCjL8jQjd03RlgFmhwQTcHx Pvczz7LT2fEprtVl+cqiLH57RhLLQdLMbORBg3Vm67+pfOnDK2jTSH8oTkvn1XyPGfC8QbHs2E5r ZQkTluC8HamOo1Gt6zhsvdWkTKzChpW5L16133E753NNPMweFtR1EsHq4Aek6jYUHmHOBuknDgSO qwG2V9Vo87J4L2cfHS1ytar7zs84BDu2xejPKdeg2L9a8dfPPY1iIICTvY+OSHK0SzL/34Bc/vP3 ZeH2pNR/py49T2Z2hB8KiwSF97UM0QNSAZwfHB808nBMUFDefXiXjlbhHJfKrFfxfZWahAMR6U52 S24iL/mgCmt4qiiYteuOEUjqx2ZBeCIU7ayIupZZnQXRHzpnfcMZOlhoEeLJD2wTnAgiYAyLAy4A dDlSG/Chf/DaWQo87D06JlJR8Cs1GJG6gKEWUBhfaqcsmqoRie2jQI/3IQoCdTG+4/Qr77fdVwKa UxFOJuC+BMWM3c/YpjldMp36upSkGW7j2JuopdfpnrUzRMbYD0TLaJ5UylVef9QjEW0hqsb5Tabj Ui6UmPrDWUOPACnzsz/91Ia+j2tnsSo92W458Lkx6Xt2twRwD6z9Ka/wROJB38yxYQAdL6FXt6pz PlAzM35nXSO51pnDVmdJ8gR/Xch2GtEKTkS6K02SPoir4gmfjCS5Q4iE8DGjh0GEY/Qy7TxygzdL AXntAWgKCKzXdXYR34/FR/Q9BVTBx5Xg5znT6DswA5RyzCbUiMBMSshmJE0T0c9HzR9rLBALok4Y Jza+Oy17fv24JA9lZPq9WxJPDMjNc+NS3J3lvODdMNzE3HccZ8vYDMZKgHLPzuZZf/IWYTzCqMnO B9rrWJirAVUbLA06fL4Vg6OAxNqFsxekf6RPXv/6G/LJn3tO3vreO6wp7Tq4S66dvcZaDKKeudsL MrirX17/xhty8IRGCoAR4Lqwi52IEnJw+NRBOj0AOHFPQqkGO4vtwClBzmv/sb38He87+sgRefSz D6skfCQs/bs0UsHiv/TOZZm+MSPDo8MUzn3/Dz6Q53/lxySWiJANFg+SkUPDpAlamFngfiEq/dE3 3pRP/uwzksokOyvob5ANBBRCcFCQCoPyz/L8Ms/h7evTcvzx++Xq2WsSTyeIBbt1eULKaHLliiwX PPL8QzxPGzHcH4nBpHQ/3yO7D94v8bGu9QvuVFhvjM8Y4HM1dHy7oemm0Zx1zLvjme452mFzFCxm gyzOORm+7tSZUSw3qAPqSUC5KxrdJ+NjChn1Gt+PjiCJ+Dxp64bpd8CbKxWM4bOi0YiTDQqxiwiD kjQWAaI6PyLfHJc5TjiiWFzVn8tukBLfYSwQ2FfUvyqmLkuUfZL0sHackZ6o9H92TNKPDUgwHZb+ 6ohcnbos43M3pO9QZkdQ8Z0anDoQ8phHVKFV0PmqBh5SOh4vCpWxsEYFG0jLUL8wmt5N758rpOaz eQIwIRf/6tdeZzSFhWcS9TzPsQjrLiiWH3/ifvnh115nCgTlGaDJH3zmpCTjAM2qpgDSHqR/aDYg wnr0s4/QAUPRBnN/AG+ifocLnXfvw0MX5+DwiYNSWijLzavjcv3CDZmbnmMqdbN4Uw4/fFhe+fYP JZwKSqlSlGwhK0ODg/Kjb71B8VVTwQGMASnn49lPNPH/r2acz93gvCh4y+CoECHGknH+Fw0VnCuc FzQVsN1oIsrUD7ALfAZNiI3UrZrR5FWZfPmmZM5EZe+vP0AG0o0YYCf+o9zuZlXTIxoXE05Ca0aW FTZapnA8JXRd3CgNDHOHWi+CI2iIL1peamKJVpPCsLQemDoJQ7UaSNTf7bMbHpFVsVBQR4IaRrnC J2lXvIvilqY+bSym5uERR2GEmg0DdxYDRtfg+44Ge6KLNE0jzWphSEPchUvH0vLQ4Uck8WFCzn3/ jAw8NbAmdmojBeVOaFygc4gf1EQsnUsPpqV3DE0NRWivlqJsxDw80hZuOC04A/jbAATidHPB9aSY ttHhu1oPxUOIjNdrgAjjuS89Le/8zbty88K4HD5+yIN9YBs9vkXJmp2zSFSa4BtImc0wyTBzYV76 9mU4nH579rZ0R7qld6iHM4KD+/olM5phypebL/AcxFMJmbk1I8N7h2Wgr5vAUHQjMQS9WlGaohFs EoCiR5lMNzP8jIjaouowsHo+9Lxf5xC/p7YIyL352rjMfX1Kot8pSu6BIfJjre+wfJAK+AwvD9wZ C5PGAd1AYKQc7wys9TqYE6rUWsnpgyx+N+GyXN6vB6JFV+CwAEI1JlKLTEwZuhbCrOLKoiScDWoy Roqv+6WSYEgNk4kEi/msn7WYOS4r4tlr7UxZHLT43IoH8ZoIrkOKBoN8Y0mK//qGXPr7s7L7N/aT C36zhvOOJ3erc0D9CWKjGIwGbzjOW9dImsybaME39m370e9woMQjbSXCctF2ZjBDJezX//oN15Iv y6tffc3V4UbZBUMaAwUaMB+89tc/YgRz9YPr8sOvvsaW/lOff4Lb2giF9WqOGJTPmbEepQPqS/E+ yucKkuxOMQqjXDpGc1KIagAmrdAhwGHMTcxL7nZeLr98nYrYV16+KvODyuXeytZBpguOu6jyDe7T e9Vq1ZoU3liS3n9VkZ6hfhn8zD6JDnRWsLd1xrXs1tFOWRgXpzvdzQvEjuEqC5r1JUchYXgLAtMw 1uNUnT0zNIGTucaTE6M4rWqw/oPVzqAWzf0L1ygqSCuM77bIzb0nn8fQMDivUJMJNR2DOceNcJuY E9bhTMu5G+1ZdhNrVRn9qcOy8P0JGf/nl+XWxfPS99/ukd6jvZuKbFBvQnRF5aBanREU5grxpaDq 3XVyVKKbpCne0hwhIp4teCxzWFiwrUKiv/W//tfe7yZuCkNHzG/oetJxT2iBeVu6sT55MKRcULqB jD1UhVAzgwN993un2V3syfTIxVevyKH9R6QwnZd8MSePf+FRWV7KSmIwLovVRXno2QeJCVzL0MSY vTov96wFQBUeku77++TY7z0jfZ/a0+nHGg7L6Xzu5OxYGKhyLHrSw0Sj2mVyM4PW6jeRCdSqkHpV qmXS0JA/HXQzPkR6O8Pn1hM29SIvH6e8N3RNkdaodhMrSEmhX6hdBZOwNsI+b1u+SXI4zE55xTku hFoP376S4gKzkqjrpccycvL/+LT0/6ezcuHfvS1z169J5XeL0vvMwIbHerAOIWBx9dUbfDBA2GL/ k2N3D/eF1BhMo+wSbn4zds63OvdHaqBShQPgWzVgzfznFaklwJX4gQ3uHuB406WXrsjEW1MyOjwq J556QNIDyRX1SsjRd2r4zoau4L1nAQQux/tk7z88IOljzXCP9c3HKsy69g5GWCa5ZZACmEEXQBuz lF2SUEBrCwtLC7x/VaIe2KmEzhka9sLxZmFBE77g0hWThF/zkPnZKreL7iPmEHHY4JLX6W5lJ6XK bjjitU+VCbXgNQrspFkayAgwqO3v9UyjJ1BYhHkMqMlpbQ3b0ScIAW6RMN8TGAzIrt84JuHBuFz7 D2dk/H+ekNKX89L3MyOSHEl2vFC7BlP8uVcMDwXu+1YhDb6odEvbgYI0HGgLS8Vmt7UeNQ1nVCMh ue+FfdvGfAEOMqvb3ou8WAEw/GaiEhvskejQRsobmkU1xnPg1HfGMRN2hJk+G03xtxzxRzgC+ztH CxxSlWM0RMUXWOhWSEGj8+eHN5D3vbr6SIiFkkTOB4PM8+G4FH6AoWttdypjqcIiChVV34Fzg/My Whrj3zLniMiL0kCkW1UHup7hWBOxhFQjTvqMeDBXxHc89/gv1Khhyb607P/ySek50i89/+a0zP1g QUoHKlJ4qiiJvo8YvYgzAkZ9uKPNmrGobj3CgsPqrCmxniFSgzDpWkax3Ag4/ss+osPtUKXR8aut 1uF2xLB/EVV8xnXbyDXzGGVdsOCXqt+stYNDEIdFxs1k0tV+GvzKHDQulbgwsXBxIG5T2ulxqaPx 2LT9UjcQTVLANjtkqHVvjMYp3BiZH0GRkZiUykUJBRqoW3OIODFwboRLuJEepKhGEohtIHXFsPYK IvxVz5S7eG6w2iv8Y5/cNqwbqp1FJTEcfHpMUnszUpzNy3RsQT64efoj7LCqJPnbssNy13CrEQVn LFEu2AaKYTi/To4LuoOFxcK2OSwaO6A7S4W9WWMgAtDp1y9I5lhMMk+NUli1E2si8WuZMmn3Xv7X rSVraNl94g92mmaV3ftZKeRMHyh7S2AH1S9TgQZ1EkTAk2O90cJU8YkGxbH/xyibPFAqUa2N4Ug6 KUdUb87RkO54jw0zG/Le3230e97Gr/5eqnuPVyxv6CJ2avhuOEFOhzuHCgeN/SHdDSIvpIQxdZp8 f7UkgcGwxAbSkl6sSeXC5iTD7gVD/UoJAbe2HVucW3F82AbAsJgu2I5UShll198OJL+WbmelZ5ds m1kT6l61erEmU9+8Il0viyydmZGuU4PS88hgkxJ0Y/2pi3JFmGYO/yZn1CjT2Dr02CbczKCKVGhW 1Kh/WcfetFJ1hXNPbKOGArf0Tte8KtCwruGabnBwFiE175RJ9jgKVOoQ6vC0qTsbbABzcHCQyrPe OPRypdQ0P+iNAYEFElGV32E1RU2N3xr84erI7JjWpq5Qp4j/R3SG1JQjSaiNOQ527WYqBs0cqjUo FHSrJ7grnZZ4NUmF4U7SGAiwAs0MLBEgHOAGx6hN73Avh1phgAPcdCMXQG8DAY3P4X2YFdwojcj6 NMS+4fEtpoRrIerX3QZ0BbcxNVvL4BiXJrPk2scMJDiyts2cUOm9JuVmxsAkHZJcf0WuTlyXm398 U4ZfGZajv/eEdJ8YbKxtB8gm5g9ZDLIolwZiPaMJZoByW1MEaMMfuEZWnfOlbiolhOAFPkNB635k qBEDhlGPthKTRTUsJIcxdqMSPH6NDMwbevNAbkGjY8c2/Irwz6WMgBmEgpIv5l3BW1+3RQ1n0CiE NyInOAIU80nWFYJUk3Yd8N8Iivse13NdgvXmkLUJYetbJIZ+b47O1Ksb8p3RnBNh1YK+MkegI4mR EByvN6HvjjmVTDVocMjaWkXFWua/fUuW370t0QeHJRxbG8uCYWYoRD/544/Jm99+Wz7x2Uck1ZOU 6+dukG53aN+gTF6Z4nvf/f57hAe8+a23OGaS7E7K9fM3SeYH5Pi9lhLa03IrNSxi3wCq3aahczrj SMixVMBBLUl+oUiwKgDAUDXClADrJds66K6g3q2qYO+YBUQSo0kZ/Yf7JVQJytL352T2z2ekehvl GDgmdSBkpnAden4Mn4slWHpBVhLtVjJMrk/LqOCoW1lzXYhBGiunCO9PFxu7FZBKoMIGIJtuKCLj HxZVGFEePkTpLjdkDC72xo5qBGMipV7dx6OCUOUbHKDOFml9CdGKDjHbKI46ESx2spCagCopZTBQ XVaohaOhcfSGHtjUXzuzA7aorJXQTFNNjd6A2YJnZ6HeN12uCkIVspvavqxGKqb1MYVq2BwlXwOm 568vS/7stBR/UymP1zIAJkGF0jfax+gpnopJJBblICvoYfYd38uxEURTGEXB++b5vgQR3Pg+jC9t O2gUMu1b7ZBtQ0qIk0964W3oEMIQrd146xZBncC2YSZ0cCitTR2nKr2dAhdmygm2sy3/rRrmS/sf HWB0mbualVIpJ+XFkgTqAR3tchhIRFTEKnrZi4qbYK3qQ15VrzDk7J+SsckVW8OZngypplq57Brp ZgOEWijpYHe4UMzTUakzQYShXT+8D+wKi0sNNod0OuVjAa0r37svutJalKaVCmXQURvQGiNSARaL Ul9OXgvzgSUn6RUMR1Hd1u2QtkZhC5Z6mRNqPThEOTAvAaTTahysiaVGIgmRVIM91baF/UFah8YA nGYr/cxaaSQ+p05ei/NKmwNp9JLUCw0upLVMOYDqXp0PvFXXz92U40/cJxffuaQtfUSdGDVBvc+N GYEX68b5m/LA08cZYW2n8WHiiB23uh3YVuYtgZvCfbRd6tPoAA7fP0gtQ94lnHm/MzADOMK1SBp3 yupw+iBkhGxbvkynTRWmkk5PmFane7eO6E1kJYUMquqyDEHgoVqjHseZi5CwfaxD+I+l5cU11kyD wcVqv7p2Ws//yoozpg1I4IdQruDDMWHsZKG8yIWEKIMOAG90s3qoZwEjRV4iDEa7aMzyWjgqetxI UGpMWjVlAjjVP2PIuji1BhGN1STmOLLsYFCTUaZIjej8J99fM7MjU4BoUMKijQJV8dHoxjqK2Hc4 JpwoMqcyTLenxsYXhOXmSGGxG1UcXzkg5bmiVPplVWl0v2FkBTWoV/7iVRm7b7ece/M8U0Fw66BW hdQwv1SQxz//GJkFXnbv+/CNcxzCxXnEgPeA40naqtHJOqzSVtaxPU23GqXlZnOSn83J+HuTlKFC 5Id5QqRvvJVaF0erUEfLv5HyIcW840Pr2IV1WGVXgwv4YQN+gyxZnrJvZf4Ul4ocJcJAX6MNhfWr 2ovg4wonIlTGHjwywKhptV7UdGVKgsfyEuxSXCT52j3ygNZz18zY0Kkhm+m4EeGytzAWHKIsLHBE C0S0x6ISDUdlOausn3rSNPRj+saIp9oW0mA1HSu0KtjSORcHMFPgqTI/eJqyWCRs+4JOpkTWBDg3 YqtKBd/Yjno7daKKveru7m4Ci5pTs+gpEU/I3PxsE0/8ZhxUOyPI1bBqcIq3spK9MieBL8Q6otrF wvnsr3y66bUXf6P9e8FxtdNGRoFtYAhVorv1QZrrGZhPBw71SzQdJfHg0sQSIwREDBiqRr2tRqCr XldS58QxxxeScCKsv4f1d96H4aAsz+Q4k3knjTWxWHgFxQzrwCBQZD3Y93qlytoaIqFSFpqU+oCF Y2ABPKRpGhw4HoxwRrHD/ZSC246AMbo3Jbv/0THpGx3r6F6wJty6xOzOGkGHj824g+2zqoioA4ub hfJgUFKJlIMZKDgTaZ6iz8NkSTAPGww2Cm/+fdSN645oBCYSjyVcRKS0NaaDiEI/IjVKi+GAHcQB +wJnQ3kxx/1EKIGLiswpsfNYFY9lwr4T6SoiKv4eQ8qrNRmcJtbitqm/zLQSpINOeWj52rwUpSSR ++68VNh2GBf/NgiVGp5vq5EMxGMze3p02Hso1REEAjW40jKUsMuSm8lzG3BymhqVJZaKbYpjfUvG znhAstNFyTmuMu5PrsJIqbBcZPrlAQXCAUlkEpLZ061cZnd4TKsuug47QeZr3dicTmfryuirbFZ3 /RkwDVbC9nYU11GFR6GdoEmO1ih9TKUSpFoNBCYYYUHO3BWtveq+j8jLCulaeFdYhHJVVX25bwCF LK99TriEYwxFdxCGiA/7Y7UofA4nEfuJ3BdOCNEYtm9t1lYwqp0YOLAGdGP7MFIKHtWaHZwsIix8 R3Rka+INd8s49MwC8dYjLB183/xCQ9SBiKRTeAH2GRFHNKWpXztDRDZ1dpqOC++9U8YyRSom1cqi LNxc9PYXyt/xTFz69mfuqmbAVo3NNze2t7KI3t6MAn098VV9r0Ihwv58EkIUNqdnLX6mVImkK5Jp gdxqQsxBpT1KlTvC7KKBpULUZR5bU7gg8VhkWsDOuFEbQ8fbwDSdaAAirDnn/KxtqoV9/Jd74SO2 t3/D0DYl3Q0PensEEcwUH6YOHseZHO6S+KleCQ1+RCMspISuY7ZlV/spUAAAIABJREFUh4XzvQXl aHB+IaXbzkhInVqE276TDguG7x17ZBuRqDtoHEO7tSjFcFbi6KKuF3FbRL0h5ZwGmLaTJcm02vd9 jKBi0SJrPsZhhZsOgDA4FaSFZqQWrmlq1lwId7TD3HF30yLFcK8ZzskI62GIxAAgRVHf8lkLR2F8 nxX5vVRwpR4bQ2w3TuNnIvUc2A6lAIbWR+TX98xuGe1ZkomMAj4/mhEWHNYWn/ZWw9rCdkC7s1Hh ho4cVjom+fk8i88fW3tDV27iLy5K36mkjPzkYQmtQ2/UTDHT2YC3UUp1ViMzEKmvjY8PYuBZi+8a ZXHsBHgj6A66yMfolA39SgiDQ7E3BCoCdHwoSFvdSRGwKjePxV0r6vtXjPa0TPhzuwZSbcl1W8nC Gp9r7i7upCl5mYswe4JSH0GR9x4ccN0ApGHLA8uWEm4hzUEbvncsI9tpuEYg11ueQrF+66pAf1ut Xq1L7sK85LoWpQ61ovXeT5HllXJ765kFHet9zgKUcCTkqw9AWILAL8U+wbATRnFcD4PL3SiOtShX rSmvutK+KCzf/4NaE4ao0Ur2AJ2u3kVn43bEfwCtB0RHR+CZ/ugBNJ7e/gPW96NoHJIgMSM7z0Gk s4tuP8lkUd7ygr9bhhoPnmFbBk+2KBZvtkO4EyM56C6ii8gC/DZwbP1ttuqyKg6ta46NdyNBwkap duiwWj+AjRBiH1WJIXTmcrmcFGrobKCtWqODQvcQ/OwolCvy3IlygkwP8vPViqN+QbpXaXsYho/x 5vhM/ZUirTYoDWS6YqsS8aSHGFa1m0Z0B7MID04NXUfgyO6EaVTZGM4uVYtsL38UDSjnbWFqcJ3Y zRbdSdq3Q1Qs9KVAaN9FAZF73UKpoASSQY9fvxPD9UZWlpeVgr2rF9I7vM+cnwi3y0FRCPd2PBTy 5OXZ/fNhmWz0JlfIeVQvXgcQFlZkrHULkTZp5NZIEb26FrYLIKmrBzUhpVFwz+coOdaI0rjXzQhd o0/2h5q+GooOb9rvDVS7pXPYR0SEul+N4+z0jNYLVZn4k3MyvXRTeo5s32zfnTKvUB7cmvgEjPoA JMLbnFOAGhA7fdscqOL4QBsTAkRnB/Ql/9ZYUKcANvQR16HvlJJcAecdfokTiPE8E74IvFgG6Gze 9yBTHCssA0pgKPcmtgbfl5vjSSZ0nAfYLSvaGywfzgzyW3lA9DFc7GpU6jwg9wUFlBg5ufC96Boa ENUmsR2VDlygN4HUYJ1xCiyEUqiAo/jSSKDJNS3VfVVQnqZ1AbRajZbGdTPgxFbj/uJoTb4q01+9 KnPxcen9rz6CDsvqh9vSnDAJ8s0ZcFPR9PY7FDaRlkqSzHw0ucrutG0ErsiCO0WPtfa9nm1EsMIj BEVNylST/SIRDWCmztxhfId4J5/31I3oULQ/vbMbH1ERfvyFeJP4NgeAehMiuojjvdLoxolXQPQT c4DhiHR397Br2Xw2W5gJTXHa+HZsWNvNQMHIMuFSR9MlxCbgh0DGZ4BHqkb7IBhwiOSTN5lth/i3 46q4GSt+f7ihrPxRMh0bgSzX9vBO8Xpu8jwA1Z7s37wS0apGxHlIR1g+tjUtGAuzhtXJOJF1/+Er yDLsyD3XMyMY6MSYElKyypmptiK6weKEM0M9aH5hrgVGoFGJRSfcGPFIbtbIpZUWfXniEL50kZ0o v+q0L8rhD4v65jBCTAdRl1Jb5Qjd2I7ORSoRIMy6mQCPYtsAtzFqdPvg8Wo5xlOru5GxAQ7ONQoQ IVokWCzWGswPJCR0WKyA8v1USzX5qCUcJvRpYy6bNX95YbNWypald9/2F8SJlo6FGWXthOEhCdUd TAyA/gdlDig2p3rSfC27lOPoG1g5VJcxJJGorhWwduD9FIC9yxYIBKT32V0ykN4r4XWAu3W35sx/ 4GG+4j1eg41b52sNCEQDgrT6/ujaDIPewQYlsUgNE4VXenoy3gxfAznuZvZ8IE0/o6d/MJk8Uo49 1Ij0YA36F/uMHsTKDiE+pumhHVgHZ5qRkwWLOtuIz4L1AHTKeqM2aC8aHDyW0tpxWeRpFDRI+ygi iwsDh1rTkSL84LM1qUowFRLJ1TkO8lEzps/bkRLi3qzWyRG+qY+Tw70mkR1oXPC6RkM7dn3mpubJ ogEndejUQZZSXv7zH8oLv/IZmbw2STkxKEWPHhghGweG1iE1ll/Oy0tfeUX2Ht0jx52Cz121YEB6 nxmVgZF9EnKUUKuZ+QCUigzEjRKQFdW9B5ePC8uaVMRjAk2wToPMGiXhkk8eS0GZ4LVRPirjZLdU rDGG04hEjAiPMAXToWPkoTOI7fh//MXv9UyVgDc++7cCr+UiQtteKxp+xXvd93kwBfK8axqYcBdQ HbymUUiBSsWCBGJBkdt1mb86L/X/v70r63HkvK6nWMWtuHezu6eXmfbslmRJtmUpsmUr8JJFsRPA foiBIEAe4t8QwC9+y1se8paXPDpBFsBAgCAGYjtwDCeB90XSLPJoNPveO9ncyeDc7/uKxa2bVSRH PfJcgJiebrJY23frLueeE1UjIiL5/sREWISETBhhMdVu8aER7rhr5bpgpWYCDZGZvki3KTDlTuGt K7clcuJ9dfPyLcyvzuGdX1zBp//kU/jNz69g7dwqdh6p0Zy71+5JtFfcLePijy7h/vUHSGdnkAaH sQDLjdfZI7KM2MInR1FkOjChNSZVlG+tmfWlauIqyjTUUgeZ1h9VKQ03xUK6f6OGnEt4sUp7Xo2G NhAN+WpH3UJ8l+QiqJkIzBTgxxaR0KjYYY7IHA+jyCDmT1296FCTkJkifCTShpVOIp534bxroVVr C85na08Ju7IrRTI/4ooeF/9SKChBq4UHNx8IHRCjgHgyhusXb2D1zKqkLneu3pWHWXFlDqXtMnY3 97By8pjADy7/7DcoLOaxdmZVwQZC1q+qezUksrPDR8nkBZ2WVgeapikqcQuxZEzogFZPryA7l9Fl hAbibgKwdoXfjJTYlKHnObx+6ZYs/HvXHyiiukOEWWdtVsuCDTWTe5BJChhxfOtCNeeoXUpoFDGY hDmZAKjff3Atuokkahqa1LvtPsAvfVVXWMIaWdMwC3XcFqSpdYVlRJCT4HSFW0UcY7xOqf78qMhJ HUNrQt00v1P3jxCR74gjDKlyHHYqjtxKVhafUKC0Oti7V8JWvSmLhM6LQgdHCQvE4urG3U3slnbk XJPxdOXUMr7/rz/AF7/2hrzn6pvXkCtmcePSDSRTSbkv9jb3sPlgC/liDsl0QhG9tTqIJsIdG0nm yH45K1NsFIqaZro0yEBhIS8OfmdjB2c/dlaYYm+9cxvXLlzHwuo8rvzqXSTchOzDjYs3EE3E8Kkv vSoq02//3wW9f+//PdHebqL6zg7qdgWJY6mRZQJZC6wvaXocE6goJoaI1MGNdsMw/2GgR0nXHTrF EoGqNXfpZXTL3kAUunuiWd21OGqQBrVupE00GkPFHgMIDS6NpAkF+4xFc8MIMdUBaN+2jn31HJKf KeLN9gVJBemUaLygpBHhImF9ho5s5/aeUE8ns0kU1nPvu/Ni7Wj7wTbasTaKq3NSYznz0dMSFTRq DSkK8zZgVPDur6/i9IunJUp463/exrW3r+OF15/Hnat38Pk//ZzS3wuZChPSkCrOUFiWdZUZsX+u nF4Wh16vNZCbz4qoyF98488xvzwn540c/vyXTuszX1ED8vwbFaiLy3Nyjw4S5D1e61D443YFD775 EMv2IhIUVh3qsBSEoR88rYw1LUUIwKCDwYdhbfE/8PmZcrmkIEi6ueXVx0VSTyEJ6PwEh6XSt0Hh QtGB0yfuMNXmgcPQ3zsJ5RS9boORFcnxAqZw8oTvYyY1YhM9XcEZWGItDRQd4J1LPb/nuTTsADzX yXwC7WMqciVJ262f3ZbmALmPCifykhI9Tr4miYhZdyKy3FY/i7AtFxe7VloIVLrD0tRQwFrzMElk kiKk8e9//22JzOy2E8oBs+YpBffk7FIi/7TptI3OiC9jPHeZQpdqKJ3rOuJkernns9Omug5rnDBo bjXglHVaP+LhLnPCFoR6StWI0eMv+Bt21VnLJmwplVI8e93uvU+h3bG7KAJ/cd4ji9U4LNP567RZ WO69wcyHjOTWuNaVdQqQx/m/VwuZGm3BgehvrG0oumdiq/y1J39HcxYmI0TJJFIYffNJd4ScYnrs hI5MmAOoDVmqYfPalgz+klplbr2A1EJqJsIIPaadPFPAG9du4MKPL+G5V5/B7St3cOknl6V+9ckv vSq0zHev38NLX/g4th9u48KPLuH5157D3LE5/Mvffgtrp1eRL+axc2s3VITVqikm0VnW+TRmeCL5 sQ+yNatNtO/WEW05iLD54TtNEjHFolqgpq5EjgVQrQRdhDghrwIDP66T1htZ9XcNxzPfFgc/yDqS dAMDDxBrEGkod9WNzCQMDFELMzW08n65x9mpBsLjKHp3kLASKD8sI7VweNdHnKh2SGSZXP2oShXq +3VsXt/B/csPJdqaPzmH9IIrTz2vsTGlQ5F6ZaeD7HwGn3r+1Z6/feMfv+79/MW//MOhnz//iXP4 3Fd/V34m15Qa8YmESgdJc+yPLtny/+V/v4kbl29i/fxx5Bdy+N4/fx9f+LPPYm6xgO/8w38hmUmK g2UB+63/fVvopKvlKn78nz/FwtoCXv/ya77IR2H9jkKt6ChamxMppQ4SuRTsfEy0GRwqr0ciyGWz grHkumJRPWJlBz4fixw8sD7J+hOHJfTEQ4agDZ974Ni5K94aekEJGE26l4YFgU5TQ/mH0NAowKv+ nT+c9B2XCltHS3dNyxqbNSR+A2wWx3NYoyzmxnDsmQXgmQW5QTavbeP2r+6JM2BKmVlMwUmoxe1E 7cn0/xiBkgxxCgh9M5NoR8M5LCfRFc40Dmv70Q5efP15bNzZQG4hhzMfOy0O6J1fXsGpF05iYa0o 4h0v//5LAitgze3iTy7LdXYzyR49QNm/JnUInwy4yeO0DmmmS3W0HzXgJpMoFOeQKxYHIqGgmggj g46+/NwATL3P9f3fEYDn0OKj6tQRLKkEJwLcfNYEnsqHgrcjCj1r4Ajcqhm+9ouamiMyyrQw7yOl 8jBZlQngFuPYo+/ewM2//jlqf5cXZzMN4zEXT83JS9DUWxXs3t1DQ6tLuwVXUkg6HBFeCJiOGazb xNgn0oxIwT2c4yMNEZk5e5+fWojKYP16SBuHY/UMNIBO7tc/eBMnPnxc4BZdh9p+YimApmVsOrAJ JMIYTQtROKhv1LD9w0doXarCfSaNeFrx2R1mfiJPkQIzNFJaWUqUd3y1KpkV7gsmDHmnN/ni48jj NskO43BhNzrNwZ3SHOnNttIjGxvoqdlAR2Ghxn/a8wmoONvVAZlZRIV1Ga600epDrw9s2VP/GUep I6ylzhYQt2LY+WUJnT+YvtgBt8fuI19KWKGJvfslkcPiWE3MjSr1FC3vxEjtsBqYcgST82DJE5Hb Cnnt6bBsDib7Ph9345LW7WzsSmGaQENq6hGAefzsKt57+zp2t/Zw4vyapIHl3bJc37ljBZS2Ssgv 5ZHKdovdShB4Mr75J83aLSXAQWGOdpWyeglY9QjaNQvRWhJ23UYKKdQvltD6jy1EdueRWZ+D7YOX CB7SPNh84sPiUPTsKOtbnB9uNBSFulF9p7HwTkxnT2HeKLDDyIj1TryYQrwJYhyJT4a0+Q1gLGjB 3XypIdoLY4yUhK45ztk/w6hg/talSx1nPwbC0REYrWl3Ct1iGvWL92cudiAgRTeK+ZMFb8GXN/ZF o87UkyKRfU+ggd3HYRxTpqs7jUUsEXGI7chTVnNg+S8RU7qzHzuNzXtbAkzle46fW5MIauXkssJU NdtYPrkkozHFlSLctIuVUyu4d+2eqGcTauB9R6P1xEwfTEqjU92uIdK04dopOPU4XCsLp+kgZafh xlNw8y6WlpaUcHGrg+qJEnbPnEPlQQnJtQxajpqf5TUV8gNvAobzf0qtymMC1uIlauZWUU2xCM8s TuYAde2L1gMgHSN7Mz1Ix6tRWYPATRoRq2EW+GQ1ItU2V2Mxxkt3rd8LjzKPxlmDz2gyt6RnG6dO tmS+NxeDeyaPxFt3Ud6sPFaxAy7E7HKmS6VSrqO2W5Pwn/CJ/U0SMXYQdWNIF10ZDTHvVSC+Kc0R hqiF8XO0/n3gtc7OZeVljNGTMTovY8fWl+RlLFM4M7B/hE2w5vdBsnarLQ8nXt9OGcg4GSSRxXI8 DycSRSaWhZtzharJKEjRFI9d08NMtTNA8sUCEp28Que36yJFJrAWdFlJIlZMHJmAQbvQK19qqJTj DZ6Kcvde3TnEujOfdcyMXb95FMkhU6ewKHf1WTX2onjijShr0INUrAyKPkYNPht6G4WcnViJfaRF YjYyHyki/j0Le1d3UTiew/thPM4EZaRIA0w22GpDWBBkBKfewsZ7W+LIKMhJ6TaZrZtC0Z3pR5jU knqCAmmYIdxAMHqMsJ50h9Uho0Ude/fLaOw04Vop5GJ5rGU+hGTBhRt1hYvOiAwbU0FAXcDgdFLm QWVA4irS6A0IZO1oTVEyAEciMS+iIjDWm8vVaSP/m4jHFKZON/SkBi4TbRM0hlhXF86paHQgijHU D0H9jl9maxIz/DocvFZUM8qzC0+VLrgf9D1CFmiRKcIMaOu6llAuj6fUMYnlXllCbDOC0lslQHX7 31+ztCpyUtcQGm3UK8p58WcW8bmIJ3VYpp4RZjtM1RQ9M2Zn5HertUbqFh5la9aaMt5VurcPt5XC QnoRa4VTKJwswLGikn4Re2iyI5pJ5YQ1RdebaFLHFVYWn6qUaqsPfK9XO9YcchFbaTsY8WCSAHB7 JNvkd3B98fdqFEcrx08BrM3PO9yJ/miINSLJaXWEEyS6mSSy8htHa/gkIGxf+Ks0lXIsxjDTFrXl UQh8zxn5CP78IwOPQ0wncSKN1HoWW78qSyo2y2HeMEbq4kQ03oO899DsExpFCyIhIAMELIrTnCE+ SqJtRnJPCKSBHbydO7so36qgaBdxeunDWH9xHZFOBI4dVQPBPgdlNBnqjYbQfav6kjmfOpdSKcwA cLOxUcWtb17A/ns7cE/msPjGSaTO5j0n5pEAtFqo7O/DjjoCkuZaZc2K9SxGbf6Uc5qBATGUzign w+6hajUadVYELHR3ZbeDmhT1HEcX9LrD197fh0iBDWxDQtPB8Y5RKfAk5kVwJIezHbmJ0qdS+OQ/ fRn3rIe4dOsiEs8eLYc1jCNqKqZrRMmYE1pibIaDCLJ/jFQI/TiqxjR9+/Yudq+UMB9ZwLPHX8SJ V054quz9Dp3ZBxmBuV4EggTznv6pDvU/xS83mJ619hvY/OFtbHz3FtwzWel2u6fzsAZuDd0hrDdR 12M5RnWdD7ygo3zjmK1JPJXD6lOvsCbqEAZTcz1ITVlNfI8IUQ+x7uR4b3HdjxeZJBoUBL1QOCsH RYkzebo16opSuloBTsexhBXcfPeWPCmP8iKZlimmBqaEIWpYtZbCks0QbuB1CY9QDUuaDR0Kx1bx 8MImMvUszh1/Duc/e17urZ73QhMStFqiIcpISjI2LeVuR8a4x4zoCkHUvrXRrrdQu78v4GpGyE4m diBWTR50fd6MjkWEl8fZj4DGbTuMnuqoezsu3E169IOUv0Ed1jQyQo+yIoQwo7GD6HAEwGbTIR7e UDCFepXeKzENoUW2Hamn0Tlx+LO8v+9BJjxmVpu00x3MuUU83LqL6PLRGG6dqZmUK0yE1Zx9hCUP jvdbLUc7ddJod2rA3rUS7J0oVrNr+Pxrb3S1P/XDVQ0Q6+aRHh6WYrbufrNE0qLAyphm6MD74UzC 9FpSyulOjhRJwc6TYmYg2Hx2oFxHoqh+lZwJIqxp1LFEtHUCPi2/0xsW6XUk8BquONsdiO1KkRmW B3OzMHpSYW+fYtCQU8XfZ6w0bt6uIkNeoSNK3jc104dX3amiWXUEhU/oxGGdP4nMqMRsz3bwmVGc E8KZTsN4fI39BjpVoFO20N7oIG/N45XzryGXzXlRvxnUF40ANkW0zmZLHrDqvmQkZUobodZJf32d qXythRYhDPwzr0Ngp2PW7OyunzMsijGRSZhc1IMOhEW5+2YYJ4NGDHd4huK5vw7AyMnIeHndD3FQ DQm9lflENMZsZVH6a/87D9Fyq2g82xSQ5wfZ2B3Mr+UEeS/jXQlHOpN0RHRchFgMWwiEGvD3sx6X Me35x2kE8dZ2Gki0kojsxeC2MjhWOIaVF1akaO2n4+Y9R0dluuJCN62JJyND5vfCrJFRtOCNzaqk hbRoIQ4nGw4/GKTmHdQcNePjCwtJficdwq4SxrjOx3BrmSHksMYDVhgsFs4nq2cM3XfdZjXRkx/n xQ5Iy7KE6cEMeE6yD61KA5vfvoHqwhZqf5z/wDssnu9U0ZUXowMSFbI202Z5IVJDZbsiDoO1KnYm DXCVdSXDBDrb/cNjMY5LVTYrsGsOUq00cs0UFlKLWDi5INgommkmifCLp9WpnJRflHh0acPqRq4B Axuvbu2RWHXQ3K3JUDiN9Ss76L2q2UZnSdsjwNHeRa2EJ4SWmO35RFyDR7tFak/QQf9OmEH1gXfn D7tdwqDRlsjPS1g8QeHeEDbowVjv6HQ9ii3SLtZMKT4bKpqklgGbhtnJKNz1HKy7DyQd+G0yoYLO J+VlZh6JxBbBjkpDIg9eDqaNkgoOQbnPYp+atcbMUr79jQoaW02k2hksx48jHcliaXEJc3NzA7Ta JpLyxFx8+MJp3X+jTNavbo6JWRYSy2kc+8pZNPfqyP/OscA1LLPlWdpgMq+Lxqoir/BP+xRDJTZL MyWYlyBl/WKjmmo5akVlslpdBKWoY8zk5+pf5ZTU13ZvVKZk7LZNZoZytVtc5HZNfUyhfRl2D1LV 9P88kUUgF158uh49+W00M/NoIkwW5klWyJoSkfEcYSJejewTueUMkgWyWU7feTGyI1B2aoo5JF0k 4vxmCfFaEkvpFcxl55GJZ5DPFbwCujglMnA2lOydEeo19+i442b95t27fWpQh5mpNXmklrYl0xmn /+oT6HB0SSIsJ4RMnKKEmpUJ46jf6JT4hUwHCUAr75c8qS4j3uBXefZ/nihbTmszOlN1n26ERYfm uq66cDoMJnxCMYBqalxd5JfUQOTGYj2zST0nR1NXDPJ4dTUPZZGQZEx/D6MoHpNRdz746TM9zixh 26l20NqfHUPEk2bEfblzXb57pod0YoxSyhtlbFzbkvEevie/mp1a5MWFSUhDs0oam/AOi46WgM7q 7TpWMqt4oXgec+kCUsm0ACfNw1vmVoVGuNZ9wJuHqQFuTnBolr7PhS4niMPTzBwtX/YRSdhIrEzW yWY62JphkCyqOcYUAEz9nw6FdZxhi9bPntCz8C2VTsqoD/NyM1Kjx35EZboD7FcqPgoYXkDzhFHq zGoMgDOEkb7vU1iTUdis/jCa0/yMpPzk9+MXKQ2GK5yZCFIcc5K6a0oR+qkNGiMdyp/5UfdkX+B9 wxTy+o9vqQhgISWD3abuFcZ4D0RdB/VyTXi3Al3TVhulB2VsX9nFgr2Ec4vP4sRL64jZMXkwSu1V OykzKbJfKQt8xjSSRsnkhbGOLs0Q9R60fDJN8PQAndMMB3UHrry08Pk0a6t5vHHHJFQaqcRT9/fL AmiTjhvTyqjCihjaYr/T6OK/FO6Kn+8gJqM349qwlI6/o/MzhUz/+8bdXljj5+Nx3sRxNKMNZBYH aWSf2sGoe4O8pyPLr2UFPc/O482f35GULrealcgrqEyXgH3dGGqlBtKL47Ogbl7dRvteB2cWzuFz Lz+LRIIjKV3UOe8zIrGNyYgK6ZGoOk6Wg4ZyYtNPczvhPmVSwSnsjrC7RB1x3DwfdTRmlhQOXG0z GCw5doCTYVSV6eS43qXDxjEIyrrrtM7JKvaEg7puQlyvlaWD6CAOs7AjAvwcby6j7hHKLEvqcI1G DcnjWcTcuFBsPLWgp1HVVxiFza3n5UUnwHTs5i/uimgFiQwL63nFVGo6Z9bBys/1AyS+WGtkPah8 fx8775RQsIp49cynsfbcmje3Z+qwrO+yzKCYQVRG0b+QaZGWJVHjUcHhqf0QHlc5VRzLufo3P8Xd b11BYjWNE197HotfOiUzp+MYR3Qo+EJHPtMaVs//tJoxv1BSsgCdCmFXIOJW2BEG+avMMRwWLXKG kN2TadBVKW4wyxCRjm86NR4GLB3r47qDyk6kiMG+EcdLL7+Bi+W3Am/rqQ0aay+k7DG0PezMbVzd lEiIMmlMG4lmJyaM1Dn++pekhAkHu2TeNIV3zWLbrreBGrBzo4zEThIfWjyHc6+fk8K5JF+6zsoy AwkmyVKghFI0BXBfWYIPLDIoMPIyDaujYhZpin1KUhJc7DVQub6LdqWJxpbBHh5upgnXbltjZkJq DyZ2WFJwN9SnAfBXaie0pLyv6N2zbR2xHLhN7TCrjepUnkSS0obRxiM7YiQ8XorHwLqZzBNqWTFR vp3pVO9vr7nzSXmZjt3O7R3UbzWkuE48GNNG3gcEsFIYw0jVC+pcGiIW2rsdtB51sBBfxMdPfhLz 8/OybVOToqNSEbN6mCoMn46ePDaEIRE+Izpi/WYMUwhjvSUUNUsov3cs4XQLvATl/Qc3s0igKR1N zbMV9Lz0OCy1IRXqBiHuE5CprcJxBRPojaLk705ULvZBjsg4zGEqPkHNPzITOFLqWFP5fksPhvLn RCwBp/7BBo2+72apmtfieSX8QXrq3XsloYw2QraMuBiJ1bbqaNodxJpxZNs5HJtbwcorK54yuBmL 4b+sP5mmzagRrFHmCagYGuEDbBwWkmlZD2iURrXnTR1V8W+cOAhMfKCK/6OM507orDQDTJjj9ByW gQ5I0ZvjAEHqP5pHSdDpI/jWD+vQydC1RtjzoKZhYYUwpk3KM0zsAAAEjElEQVQ/wydX5V4JLWeC mthTC2yMqAzXPQkKH13eQGu7g0JyDuvJJSxHV7C2viaKxDTDgEBuJ2nWCHZKLbQw6Rw/x4c008JK tXLovUj2hMcZibW1IIs04ZnulhWg1opGYCcOn//sNwVPOnjtKofPTr9mJw0vpMowl16PjocyPeM7 DX6lOfBRDAtGqebACEuI7VWdIKju2TATdkS50UIUxPo0DScxPrnu/9u7KL+0g/Tzj0HF+amJEddF GEJ7r4MM8vjI4hqSSykUc0VBnvtpwJm+CzOnRPcRpYkp9dzJzKSFLNabmteBHVLbVutk7G+2FGYw xL710Cxx2mNPgbVFoUYk6gNukE6oNZ7TVdgx5tYI6bC8orjmeA4wxyfdEFshyIWaeMjOmRpXP3+O 36TTomtg0wmPu+MHgTLCCZki+q2938TexU3UTyoObQm3n9pMjOe3slPF/t0q3EYaJ7KnkM3lkU1m UcgXuuIqzaZSBmfpQ7f3nagSpSVPOSMimfYQIZPwD08uXhLrEYNomEBpwxxS13kEe75aErF0Szhm DSnAtPeuPjS9xI5ebVm6nlW1jQh1LQOi3M1+tNtNxfRwqKPkOR2+xjywuAjI9G7Jx61qFKCjmg89 QMHdjOqQklULsJoZQ9OJ4VPjMM+raDNsZDNZPaXOjqPPifYIKyrHaCJBg/hVJ66L7ZrE/Gls14GZ /3cBraLMo8NcM/wpLLT6hqlTPPKItLM/qMa61NZ724jsOljJruLD86vIuTmk3bSAOs21ZBRFZ7Sz tyf3ZspNepS+qizhIJqKImKphUxYCvnORIDBdnRUFuxaGuYF7kM8FhOnNWyMZjKBBnhod+OU1Yyi /jvXUs+emxE8rs0m7HQUp7/+Mqo394QLi2yjwb5fsY6ynDMOWcNBZRc1ZjTIWCyBUf9Rq0HgIcKq BxgL6saJCFLe4syUAo6a1zjpIBc4n3pGhkulqApxTodgRmxM8dN0AI3CjtkH5cyUY6MDtAM6DB6D Qex3AXZqvlL+ThoUjbg332fe0w9UFeHWaASxXBwdjgXJ345ex+hJtZ3bu9i8uIO1zAm8sv4a5k/N I+Yo5LkpdrOORAphLkwuAnanKpWqLOZ0OuVlBkpfmiIaMvWnivjxBFyXD+A2qtWqwBmENsfmXOp4 TRTen3SSvJ8IiYhGY7IPnkzWlMyJKiyYCEBoea2egviQehPnfIXhN2Zj4fc+pNgaWJMOysiq5QLH rX2rfRtOc6PW+eB5YQDTF/d1U7cwiFm+zE3CC60cFU+e7Sk4j9pGhJSqOsoz0Uxvp3Kwa2mGp/vH e8zsoqG5IBYqSIrnOUWtYWikwhodnhvNU6Tfa0aZ+GT2h9d+YxFX9rPCDsnT8ZxJrbJTw+aVLUQe OXjm+LP4o89/xCuMmweTAXUyolIjZ5EedWHpSAtbZ0QxZPY80PRS18BnpnR8Lx0C+ass7YCocGx4 /A9TYvIYcDuWbI8sKHbHVmNjmg2F92vY9DOiJeKNRN5gADM0CfViHalDEyQ6JlB0mI1bpD+4a689 n8Q9vSwypIv+f39J8oIztsKVAAAAAElFTkSuQmCC