20240905 10173100 1.0 FALSE Layer3DToFeatureClass Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud "F:\Backup Project ArcGIS\bangunan lidar all\bangunan lidar all.gdb\Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D" # ENABLE_COLORS_AND_TEXTURES Merge Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D;BangunanPilihan_Merge "F:\Backup Project ArcGIS\bangunan lidar all\bangunan lidar all.gdb\Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New" "id_bgn "id_bgn" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,id_bgn,0,253;nama_bgn "nama_bgn" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,nama_bgn,0,253;fungsi "fungsi" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,fungsi,0,253;DSM "DSM" true true false 8 Double 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,DSM,-1,-1;DEM "DEM" true true false 8 Double 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,DEM,-1,-1;HEIGHT_FIX "HEIGHT_FIX" true true false 8 Double 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,HEIGHT_FIX,-1,-1;KET "KET" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,KET,0,253;PENGOLAH "PENGOLAH" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,PENGOLAH,0,253;WADMKD "WADMKD" true true false 50 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,WADMKD,0,49;WADMKC "WADMKC" true true false 50 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,WADMKC,0,49;WADMKK "WADMKK" true true false 50 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,WADMKK,0,49;NAMOBJ "NAMOBJ" true true false 250 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,NAMOBJ,0,249;KODSZNTEXT "KODSZNTEXT" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,KODSZNTEXT,0,253;TP2021_v2 "TP2021_v2" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,TP2021_v2,0,253;D_SUB_PENG "D_SUB_PENG" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,D_SUB_PENG,0,253;tipehak_reklas "tipehak_reklas" true true false 255 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,tipehak_reklas,0,254;ECI "ECI" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,ECI,0,253;Des_LI "Des_LI" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,Des_LI,0,253;NAMOBJ_1 "Nama Objek" true true false 250 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,NAMOBJ_1,0,249;ALAMAT "Alamat Cagar Budaya" true true false 500 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,ALAMAT,0,499;SBDATA "Sumber Data" true true false 500 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D,SBDATA,0,499;FolderPath "FolderPath" true true false 320 Text 0 0,First,#,BangunanPilihan_Merge,FolderPath,0,319" NO_SOURCE_INFO UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='https://www.w3.org/2001/XMLSchema-instance' xmlns:xs='https://www.w3.org/2001/XMLSchema' xmlns:typens='https://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=F:\Backup Project ArcGIS\bangunan lidar all\bangunan lidar all.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>FolderPath</field_name></DeleteField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='https://www.w3.org/2001/XMLSchema-instance' xmlns:xs='https://www.w3.org/2001/XMLSchema' xmlns:typens='https://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=F:\Backup Project ArcGIS\bangunan lidar all\bangunan lidar all.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>stat_bgn</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> AddIndex "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='https://www.w3.org/2001/XMLSchema-instance' xmlns:xs='https://www.w3.org/2001/XMLSchema' xmlns:typens='https://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=F:\Backup Project ArcGIS\bangunan lidar all\bangunan lidar all.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" id_bgn id_bgn NON_UNIQUE NON_ASCENDING JoinField Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New id_bgn slf.csv id_bgn nama_bgn;fungsi;jenis;kegiatan;lapis;basement;tinggi;luas_bgn;luas_bgnklb;massa_bgn;keterangan;alamat;kelurahan;kecamatan;kota;pemilik;pengelola;irk_kkpr;sippt_ippr;izin_ling;imb_pbg;slf;tgl_terbit_slf;tgl_habis_slf;izin_lain;file_eksisting "Select transfer fields" # "Do not add indexes" CalculateField Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New stat_bgn None Python # Text NO_ENFORCE_DOMAINS JoinField Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New id_bgn Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_GunaPengg_v3 id_bgn D_PENGGUNA "Select transfer fields" # "Do not add indexes" CalculateField Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New D_PENGGUNA "PENGGUNAAN LAIN" Python # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='https://www.w3.org/2001/XMLSchema-instance' xmlns:xs='https://www.w3.org/2001/XMLSchema' xmlns:typens='https://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=F:\Backup Project ArcGIS\bangunan lidar all\bangunan lidar all.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>BIM</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>link_bim</field_name><field_type>TEXT</field_type><field_length>1000</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> JoinField Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New id_bgn Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_GunaPengg_v3 id_bgn BIM;link_bim "Select transfer fields" # "Do not add indexes" ExportFeatures Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New "F:\Backup Project ArcGIS\Publish LOD 2\Publish LOD 2.gdb\westin" # NOT_USE_ALIAS "id_bgn "id_bgn" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,id_bgn,0,253;nama_bgn "nama_bgn" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,nama_bgn,0,253;fungsi "fungsi" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,fungsi,0,253;DSM "DSM" true true false 8 Double 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,DSM,-1,-1;DEM "DEM" true true false 8 Double 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,DEM,-1,-1;HEIGHT_FIX "HEIGHT_FIX" true true false 8 Double 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,HEIGHT_FIX,-1,-1;KET "KET" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,KET,0,253;PENGOLAH "PENGOLAH" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,PENGOLAH,0,253;WADMKD "WADMKD" true true false 50 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,WADMKD,0,49;WADMKC "WADMKC" true true false 50 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,WADMKC,0,49;WADMKK "WADMKK" true true false 50 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,WADMKK,0,49;NAMOBJ "NAMOBJ" true true false 250 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,NAMOBJ,0,249;KODSZNTEXT "KODSZNTEXT" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,KODSZNTEXT,0,253;TP2021_v2 "TP2021_v2" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,TP2021_v2,0,253;D_SUB_PENG "D_SUB_PENG" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,D_SUB_PENG,0,253;tipehak_reklas "tipehak_reklas" true true false 255 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,tipehak_reklas,0,254;ECI "ECI" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,ECI,0,253;Des_LI "Des_LI" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,Des_LI,0,253;NAMOBJ_1 "Nama Objek" true true false 250 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,NAMOBJ_1,0,249;ALAMAT "Alamat Cagar Budaya" true true false 500 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,ALAMAT,0,499;SBDATA "Sumber Data" true true false 500 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,SBDATA,0,499;stat_bgn "stat_bgn" true true false 255 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,stat_bgn,0,254;nama_bgn_1 "nama_bgn" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,nama_bgn_1,0,7999;fungsi_1 "fungsi" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,fungsi_1,0,7999;jenis "jenis" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,jenis,0,7999;kegiatan "kegiatan" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,kegiatan,0,7999;lapis "lapis" true true false 4 Long 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,lapis,-1,-1;basement "basement" true true false 4 Long 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,basement,-1,-1;tinggi "tinggi" true true false 8 Double 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,tinggi,-1,-1;luas_bgn "luas_bgn" true true false 8 Double 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,luas_bgn,-1,-1;luas_bgnklb "luas_bgnklb" true true false 8 Double 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,luas_bgnklb,-1,-1;massa_bgn "massa_bgn" true true false 4 Long 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,massa_bgn,-1,-1;keterangan "keterangan" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,keterangan,0,7999;alamat_1 "alamat" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,alamat_1,0,7999;kelurahan "kelurahan" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,kelurahan,0,7999;kecamatan "kecamatan" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,kecamatan,0,7999;kota "kota" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,kota,0,7999;pemilik "pemilik" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,pemilik,0,7999;pengelola "pengelola" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,pengelola,0,7999;irk_kkpr "irk_kkpr" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,irk_kkpr,0,7999;sippt_ippr "sippt_ippr" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,sippt_ippr,0,7999;izin_ling "izin_ling" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,izin_ling,0,7999;imb_pbg "imb_pbg" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,imb_pbg,0,7999;slf "slf" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,slf,0,7999;tgl_terbit_slf "tgl_terbit_slf" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,tgl_terbit_slf,0,7999;tgl_habis_slf "tgl_habis_slf" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,tgl_habis_slf,0,7999;izin_lain "izin_lain" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,izin_lain,0,7999;file_eksisting "file_eksisting" true true false 8000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,file_eksisting,0,7999;D_PENGGUNA "D_PENGGUNA" true true false 254 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,D_PENGGUNA,0,253;BIM "BIM" true true false 255 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,BIM,0,254;link_bim "link_bim" true true false 1000 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,link_bim,0,999;BIM_1 "BIM" true true false 255 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,BIM_1,0,254;link_bim_1 "Link BIM" true true false 255 Text 0 0,First,#,Bangunan_WIlayah_RDTR_TZ_Guna_BPN_ECI_LI_Cagbud_3D_New,link_bim_1,0,254" # westin 002 file://\\DESKTOP-PACJ40K\F$\Backup Project ArcGIS\Publish LOD 2\Publish LOD 2.gdb Local Area Network Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='https://www.w3.org/2001/XMLSchema-instance' xmlns:xs='https://www.w3.org/2001/XMLSchema' xmlns:typens='https://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 20241010 09115900 20241010 09115900 Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.2.52636 tes publish 3d File Geodatabase Feature Class dataset EPSG 6.2(3.0.1) 0 Simple FALSE 0 TRUE FALSE westin Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. id_bgn id_bgn String 254 0 0 nama_bgn nama_bgn String 254 0 0 fungsi fungsi String 254 0 0 DSM DSM Double 8 0 0 DEM DEM Double 8 0 0 HEIGHT_FIX HEIGHT_FIX Double 8 0 0 KET KET String 254 0 0 PENGOLAH PENGOLAH String 254 0 0 WADMKD WADMKD String 50 0 0 WADMKC WADMKC String 50 0 0 WADMKK WADMKK String 50 0 0 NAMOBJ NAMOBJ String 250 0 0 KODSZNTEXT KODSZNTEXT String 254 0 0 TP2021_v2 TP2021_v2 String 254 0 0 D_SUB_PENG D_SUB_PENG String 254 0 0 tipehak_reklas tipehak_reklas String 255 0 0 ECI ECI String 254 0 0 Des_LI Des_LI String 254 0 0 NAMOBJ_1 Nama Objek String 250 0 0 ALAMAT Alamat Cagar Budaya String 500 0 0 SBDATA Sumber Data String 500 0 0 stat_bgn stat_bgn String 255 0 0 nama_bgn_1 nama_bgn String 8000 0 0 fungsi_1 fungsi String 8000 0 0 jenis jenis String 8000 0 0 kegiatan kegiatan String 8000 0 0 lapis lapis Integer 4 0 0 basement basement Integer 4 0 0 tinggi tinggi Double 8 0 0 luas_bgn luas_bgn Double 8 0 0 luas_bgnklb luas_bgnklb Double 8 0 0 massa_bgn massa_bgn Integer 4 0 0 keterangan keterangan String 8000 0 0 alamat_1 alamat String 8000 0 0 kelurahan kelurahan String 8000 0 0 kecamatan kecamatan String 8000 0 0 kota kota String 8000 0 0 pemilik pemilik String 8000 0 0 pengelola pengelola String 8000 0 0 irk_kkpr irk_kkpr String 8000 0 0 sippt_ippr sippt_ippr String 8000 0 0 izin_ling izin_ling String 8000 0 0 imb_pbg imb_pbg String 8000 0 0 slf slf String 8000 0 0 tgl_terbit_slf tgl_terbit_slf String 8000 0 0 tgl_habis_slf tgl_habis_slf String 8000 0 0 izin_lain izin_lain String 8000 0 0 file_eksisting file_eksisting String 8000 0 0 D_PENGGUNA D_PENGGUNA String 254 0 0 BIM BIM String 255 0 0 link_bim link_bim String 1000 0 0 BIM_1 BIM String 255 0 0 link_bim_1 Link BIM String 255 0 0 20241010 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzcvWdzHEuSLXhSi6pCQQMkqK6Y7umZfbtru/Px/f9P+2HN3pvZ FrevoAYBQpRKnbl23DNKoQoogOBt9gsz2r0EC1mZkREe7sePH3d/+eXPTdPUaJoGtu1gfujPAViA 53mI4hiWZQH82dwoixpv3rxHXTc4Pj7G7m4fVVUiCOLpNYsiQ15MUDf14i83vHaAwOe17fazCeq6 hudFsG39WVUVyPIJqrpc/P2la03vqSyRJok8Ax+Az8db5z16vo8gCKbX5jPx+7IsRVWW8tlNBj/H P/ydoiwxHA4wGo2wt7uP7Z3tuU9aqOoaVe3A87twHFfmzLJ8oH1mM6oq4wzA9/3p/d02HKeB51Sw rM3ueX5YfLGWhYuLaxR5hfPzMxwcHKDf7yAIA7iOB9+P5L3UdSXvpSjz5VmQK9mWDcf10dQVyipH Uzeoqgp5nsl/ZRFB54tz77fzf2Ou27+anxZ5Lu9l3SjLStYl50vW5iOMBg1yVMhRLC31RuZB33eK NJ0gzxNZm1XNZ7w5v3xGx9V5DINY1rpte3Ac7gtzv/otPlw4pY085bpd9T6tje6ea7moC0zqEQ62 jhH5saz787NL1DVwcLAL33cRBB25vyQdIStL/Jx2cFX5qOe/p9H54E+6zgTPvI/oOTU+nWa4uhzj ++9fIQxL+P4WfL+Lui4xST6gLAft3nvc4do2b8WRCeKD8gHMi28aWxYbjY7rurIo5d+W5s0PbHz/ w0ukSSET8/btB+zt7QJIEASRbFDfD+G4LrJsIg81HZYxRmP4fgzH5mdjMXhlmcF1+XI9uK4v18nz yYpNM7vW9J58ft5BkWfTRTd9jrlnNIPPXsvGwlpDIcapquS/n05P5We8zyRJMZ6Msb+/j163h16v N2doa9QNF20HvuuD67qqHDhusPI7bDtE0/hi4G27gu97U0O++p6AorRhOw1cm+9vM8PF589SGmcL ruPDDgv8+OMrhFEohoobi/PNZ82LVN6FHmqL98I1Ydv6uarKURYFypJ/qumCnf2Oznme5zKPYRjC 9bylB1r4D4KwXTdpKsZi+b35vo2i0PXA632J0arRoECJAhVq2bZi0nUO8gRJMkSaTeTd8F6W53Pl NZsadZHJ74zHVzIXnhuIAeOBHkXd6aFeogZ8C6HbQZHmqKvy/s9Q6zty4QJZg98+/Q1HOyfY6ezj 8GgXw2GC09MzHD85gm2ncD0fcdSDV2T4g5PgU17hXR4hb9p3Jttdn23cdPFL8QL79RWODi8RRy7e v/+Ira0udnd56GcIgl10O8+R5ZfIsk9omgKPOdz5CecGVwPFE5UegCUbnC+MXslti4EnfBS7QOPi 06dPuL6+xtZWD0+fHomxEoNju4jCHtJsKBt9fvDvaTpA4Henxon3kaZDuG4Az+NitBEEXVhWgrxI 7nw4/n4YxZtNhOsiijuYjEdrP/P27VsxVD/8+CP6/W1MkjGc2sHTkxO5Nz015w1JA8uJEIQ0wDWK gh5RADkjbhm8lutGsinGoxFCejvLG3tu8PyrKv7hPdStx7X++rbl4vT0M5Ikoe+JZ8+PYdmRLMww pAeo30UjxQOGJ+zqOfPld4qSGzIXo7KJd2rW13gyQRxFsrYWn2f5e1w4nQ4mk7EcKsvr0LYsOZi4 djudzoOMFg1VhkKM1vygN3V59VG8kGUj9ZAhnnyeyJ/R+BKO7WBrax/d7q7cd0ljadeI4hB5ksoB sMnzVBWjoVrWID/POd7tHsBPQ3z4/AZpmeDZ7nfY2orhOjb++pef8OrVK3R7tTgQvheLc2BbI/Td En9Jekjqmwdl3vj4UB5gUHfxqvsOL3sdnJ4muLjIcXAQiHcVR8cIg104Nv/+5lGN1tRgmaHhEcMn 3uzs5U1GY0RxJA9167AqvHhxgo8fPyEIQozHGdI0Q6+3pQvcshAGvTa80FPbDP4vPS1OPI0U7yGK tuR04x+e+vwZTye79bZuW0SbLlyGj0VRyKI34eHnz59xfX0F13FlY8edGE+fnqDX68qmYIjc7XVv XKsWT5VmwIMfRLBsDf/o8DvO3SHe/ODJ6wc9NeRgiLzaK5sfNFr8fsdu4Do8dGYuS5YX4Dnx8eNb 9HodnJwcww88mXi+G865XqNAQa+qurnQZDNYDizblnAtp/eQ5/d2/3kdvp3xeIygqhZC9HWf73S6 SNNENvHNubIlHKVRiyJCEZvNNY1xikIM1vwQgzq+xPXg/Mbh+liDa7+sSlxenmKSDLHV20cYdlBb jE0yhBHXu7XyeechCeP5Wtbidubv9qItWcMXw0/4pfgznuw8R6cb4YcfX+LT6TmyrIt+v6ehddhB HPbg5gn+3RrgTRbhrFgKEdsDclTH+Kl4gRP3FAdHIYbXFd68OcOTp7tIklP4/g5ct4Nu53skDBGr 4Yqj6BEMFl8UvRvLtuQ042ZWL6vGhIsrpCt728Zp4LjAycmRGKuff/5ZcK047qCuaXRCmVwxOraL NBsvPIhxv4lVGVyLny3LHGk6kv+XENHxYAdd5PlYXvpDBp+NGAufUzEufTH8bxSFcOxdhFGkE+W6 YqS2t3fWXq8oK8CiN0jch94qH8iGZd9h5FeOBmWRoqpS8UDuPCjmf7OxUNLjEsNVw7YqJJMMl5fX 4q3t72+LwaIB9eV98FSmoSvFADG0W+Up0UPm54gpZRlxxmrqiT90aNjOELFEFMYLXuqqwUOQ65OG a/lb5bCpKozHIzFafGd3jXXGil7VZHx9E3P9CkOMZjpGnqfo9Xaw1TugBUaCHH7oIVh63qaFb8To t97UbYMY1oH9FNeTz3h99nc82X2JbtjD05NDjEcp/va3v+PZc0YJgE88OeDayPDKStBzCrzO4lmI ODfSOsCvxQn2nGscdy/hMJrwezg9fYft7QpR1EMQbCOOT5Bm58jz8y82Wu4yPqMeRgWHp6h4WbVs bPMZpyw3AzitBt1eiH6/j7OzM7nGq1cvUZbpNLzjqR7bDtJs0d3mC6SB4okZhr32s4qp0GjRIPB3 udHCsPXANggR5weflQZ41WPw2brdHtDd8Fp1g6K04BF49ALkeYkGDM8eYqg02ZFnA8GjOl2GwPfz zMywLQLyDmzbx6CYII597O2rwaXBJ4ZiAPUsGwr2tArX5WeIu9CoDEfXU09U/+3LgW41NDWGw6E8 722Ghp/lwSFgcTJRt3zp3zlotOiR3XYthl/Lxopr/Or6FKPRJX7vwfdwfX0u4fXezlPYjoOMRstz ETsdjIfD6UFyl2FfHsRP97eOcTk6x6+nf8HTvVfY7e5jq09A/gC//vIaf/rTv6LIB4KrEcbh/nIw QmiP8FPaQVrf/M6qcfCp3EXmePih9wGD4Wd4XoyrqxywBuKtR9E+4uiJ4LNp+kFm/qHDNS6lwavk JqpqarwMhqUuvy0xfZZnCHx1V28b/J3nL45xfTXE5eUAv/32GtvbfXS7xMtc2dBidMRTmtwIQZh5 SdLBNL6m10IMi8aJE2EyWDK5jtOGiJudiCaD8yWZjKpqBFC3nFDAah4eeUH3PJTs270MVJ4InqH3 kyMIfXgesZ37GwTX4dNVuLq8lI27s7ONvb0t1E0l80jjw7nnBhEPlYcDb37pqwSXIyBMjEjC91q8 66bmIbYZtrLpUAzVkpBOsoh3rC9uWHpRJrPLYTYzw1UatbszgTdDLQLr4/E1/pFjMuFGL7GzfSSH So6SjjriXk9wrYeGqFwVBN+91Meny3fIigSH/Sfo97vwg+f46ae/4+BgX/Y514rvRQLJOEWCP1hj vM0iXJbeSh/puurhz6mHZ/4l3CpBluW4uvRxeAhMkk8Ig22EwY546Wn6CVXNyOr+QyyUcSnnM4Xy gHOnqIY4TM2XsAsaCQVc7xpc5Fv9jmBATKuen3+WeHl3d1s2ivGUBEwvNANzE6Qco67DNox0EPgd AYTpbWlq1tFMV+CKMeO/3TaIV2VrU8d3D85DWdOYxwj8UO6xKi3BqzbFTjTFX+Hz+XskkxGqMhP8 69V3f4AfdB7kVRGv8hzg+upSMnH8jpNnR3BdGh0gCpi9ZFhnyRxxrlYbeGJaDPstVMaYtYPPRxqB hIUpM5mPZ7Tk+paFPMtkjcSGRnOH0aJHws/zo+p90au8ff7oXUlWbm5wPRAIfwxw/UsHkx3nn99h d+dYQit6gpWA8RGKTHHDhxwYimv14bsBLkafUFQZXh78AXEc4rvvn2E8yvDhwxlOTp6gqXl4cI13 sGOlCKwR3mQxTotgpdGaNCF+zg/wxL/A7u4Qlxc5Li8LbG9HSNJP8P1d+F4PjhPK34vi4t4horsc E9/mahLzsOo2Zm75WRt/kQscH+/h11/fSbZte3tbcBBCRDzt+d2cGG5UAr6LYHyDTDhc1RTXMmEl M46eyyykgrZh0EFhu8rlWuE9ZVkmxuq+L5u3Uzc0VoDlxOJRWSDwzB944uHd/vuKScl/yxy//fpn 2VzMAna6MQ4Oj7G7dygG5b6Dj0KQPU/HOLu4lHl48uQQ6hxZ4lEprqbhPjNUvIcVV9KUuOPJKb6K 80bvqshL1JMCTl6j8i1YXBePaLc0RCwlZKdxvAuMpze2lGi8dXBlMSO4PGj4iCV9K4Pv6Oz8Dba3 j9Dr7IBJu8TKEUW61mnYHzoCL8RR75kkr7IiVbqF52Kr72A0GuL6eihgfJZdoNvtT0PEV/YEjtXg YxGgam6+9LJx8bY4QOna2Nm+xOfTM0wmHRwfHyBLz1FXpD5sS4iY2T6y/AxNs7nH6JLw6DrOxjEx T9SC2aaqkg3Hl+97ynm6fZDQQQ/iBLbl4c2bN+LpHB8fSebNAL90Q7lpCyGJzk46enMSujS1hIgM KY13Jt5CPmlJeQTHNeQhXkYO0cIDuw5K15UwYlOjJZ5lQ+5UiMALWryPK9+C7YS3/m6SjJAmIyQT njifsNXfxpOn3+PZ8+8xHg/w9OQ5orgr4d99jaiApK6NyWSE88sL+f39g12EAQ0oF2Cgc2RpqMlD aRkvXATUlWC7PGc6BxWqrECTlbDKCmIfHEcyoBmv593ktn3JMMaVNBNysTQ8fpxRCc/q5slOCs1D ve6vNXg/11efUBaZGC7Y9GQIyXgI7Ai58NMelvigkarKAuefL5E1Kfb6h9iKdvD8+ROUVYOff/4V nY6SXbkXuTfjoItX1gShXUmImK0A45lFPC33UDgunj23Efnb6MRbaBoawM+YTD4iDA8QhvuyfzIJ EScbeVsuQXGm7Zt7PLSEAU0jTHLJ8mQZ4jsAzvnHqZpM2PB/+9vPAsYfHh5KiCjZSQLsjgdHwPTx DZKoEDWrIQI/ajOOjhBNmeHScHb2Mvhzel5ZNp56C/wO0hLShJmu20Ma0jvyooLt0qNSBD7PStiO 0itWeZhkP38+e4+4E2JwfSmnFcHf/vY+dvf+N/HuPn16i7PTt9je2YW3R9bx3XSF5UGGRFPnGA4S XF1dY39/F3FHjZ4hJpqwUg26JiU4H0XDcFivYz5P/HAVNiIh+SiFlRU3U8rKPIZVN0jyCk5wf+/w tmHWYzJJUIfKkP/Sod7V6hOdGdJvcTBSGI4Y5ifY23smBiQlGO96iDs9JMn4XgfwfFTF/dsl9SHz 8Pb0ZxzsPsF+jwA5I6J9vH79TvY1D0LixqQkkWj6xBrBsyb4KemgXLERSIU4r7aRNAF+tN7Dzcjx 20UUHSDLrjGevEYUPpEQ0WWImHxAUV7ded8uQdi44yBNJvd+aPVuuIEdAXeJOSg4fvs16C15voU/ /PEHKQsh0ZSYC+NmnqqGiU5ci2zcvEzFoM5Nt5bpVAU80hwEO+If8zJmpUb8IxhAmUuoaTAb0hXo DieTFJZFY734MulBVXARRH15pqIoUZOY6UZ3PBuN1ljCsU53B09OfhDqwOvXf8WH978JRtfp9PDq +3/B9vaueED3GXzG0eAKUejh06czdLtdPH9+LOE6n4ffZQB1lvksEz+lesBRL1HOQmJGSx6VsP7L 1qNKC9yV63RIA2mY7a1g0dN6bFzLtiStz/u6i6+1mXe1OtHCrPS3PLI8xfn5W+zsEIzvILcKNFaN IIpQEtcqyju9FM6hSbKZqIj7MQpiHDvPcTE4Q17kONh+InytP/3pX3SPnn7G3t42mmYoJUZMlB3a E7jWEL9kMcbV6sNqXEf4KX+C580p9oQJvychIcuT6G3VdS5lPXH8DGkaIS8+o2ny2zEsh0BqFE9J eZsaLX6M1tdkFCeTiYDxYah4yV3DdS3s7/eBvR30etvt72i9luIpjnhR9IqIu9BAzQ/xClJmvnxx V+e/0wDv9DR4LXoR9Nz4O5pNZFYshBsEKPMJmppxPNniNcrKhud3hKJgWNn0Pizr7hOerPbvvv93 MR5m0IDSk+10QjFS5LLdF1QnFZVlKA1LWgIfV1dX2NnpC5/K9WiolJ/GwZNYsnrCk6oW7oXAvt0a KvLX5rOkfM58ksEqSlhVDVb5bGp6xGjBQVbUaDw8utHiGi0LlquwdlCTL489hJibkOD47Y68SAWM 73V30evtobCB2mokq8yaRa02qNcYKjX+6wy+5/rY6xzhenKB159+UpJp2JOk2dXlEOfnlzg6OpB7 kDpTL8a+lcO1Jvg5jTFYa7Ri/JKfoGw+Yq96hyg8gucxWeYiSUl5miAMD4X+4LoE5D8KZ3PVmH4D H4LkzmTCWr3iXsl0Wmp6WvwvgUBuiji6PcMz+15mIGl8cjEqmpGkEWRdonpxfLAo7Ar+IlyhucGX Q8+JZEdafc2CKdmUEzuZXLVEOH/KJ+JkpxnxrVKLU70AWZrzrcKyIsTdxSydgPkhY22WStBABrfS FhaMVV0hza6FFc+4/SE0BYceICp8PrsW7tHz50/R6eq1ZuGf4k+co6lhJy3FY0LCE1IiM3CuF+jG b6olQ5WinmTwWC967ztsn5skRdiYZBVqn/jewz2h23At4Wt1epr9vOdw4SBCgAlu4nRM2Ays82Vq 1zc3qqrE9eBM3vP29rFMPEmmkRsg6sSSrDAPYTwqruFNMrpkxe/1DjFMrvHbp7/j5OAl+tEO9g+2 Zd+wdEvWWTpSPNmPsEv4xR7hL5MOBtVq2kPW+Ph7/hxpc4rj+jfEDAf9PrqdZ8KMn0zeIIpP4EkW McZk8hZlNbjhMd4wiQyVrExTy/cJD42nxU0kv8vFu6HRkixgRuoCgT3N/pmwhtgU/84/jJ9Lh+Ug yrKeH3wxk4ScLW7Qlk1Pr8NW8J2GTmsUtZiYrGrXyZGkOdKGNYf08NYDx1JSRNdbinsTyQzeRgzl ffN7mUA3ofJ9B/c76Q4XV1dagV9keP7iKSwpu2GBsoZ/yuNKp1yp5fuoykYMG19KkacSIkrYy2xf XqDOSjgsz3kgQXV5kAxMT6tsatju4xstXpFUEHqq9OjvO1zYiBFIppABohkspeKcci6/9dE0jeBa dC52tg8li0cjHFi+4MnESvMsv9Wjum2Q+kDjdXr+FqPOAIf9p/Jz1lQyU09CN/chK1W4z7phF/9m p3idVPiYB6hWHHsE4z8UhygaFyf4iFhCRJYjHSDPPTFSLOkJCNJ3niHNPgs7fj6LuLKWkCEdcal0 MrmX0aKHJRhRwxKKu4mly0MwpqposSvFnxRPKqZ/n6o2FKl8fnmosgDj4niuiJplQSzDmYgHZgBp Zp5oaP1cDRfLWe4aLEJ2XBoIVSSgcVwYTSOUiqpKZEN5Xvfe80CGehS6GA6GGAwGgr8RAGXamXNM +ofhU4nSBRUw5jym2SArnETPSv9dqBk1yrxEOU7h0KNsViyCRxgBVRzKGhkLcr3HN1ocxF35UA9J WtDTInbDmj2TMeT66nZ2cFl8/OayhetGmo5w/plG60iwWjLjK8uRCIek39ukee4aEWERN8Dl5DN+ Tf+Kl4c/guzLJGXSi/wslsxx/VFpJUIn7OA7O0FkTwTXWkV7qGDjU7mHrAnwovmAuGIB/AkCkkod 8rVOUZUJ4pgF1AdwnQ6SlNJVbdJItW5uXphUBSu2JES8z34zGkfMjnV7W8qUvsdg+nSSXEt4ZwB8 Gh5OjFajq4fECSPYTvD9hlfRaPrerRTbkhIDx0MU9cXImQk34WMYhPK8STpBmhNDu/0eVTUiQJ4x RExEKoZzSKNQ5CPYjoVur/8AQ8V5txGzjtFhBUCAweAKL148acuTFDcwoZEa7ZuZLQ2r1UvVf9fN x3kS7hhPXqpyPDj422x4rdFKmgoOGa2P/HVSnjOZSFmP0de6z3DE0wolnCIYzxHHW8J2pyfxzzKK IhO+1u7uE3TiPkoLmLB4OlRNtWRF3eWmg3tsr3OAq/EFfj39G747/iM8gVTG8BseyJoxF3koL0To R3hmZ4idEX5OIwHjl00/Lc5V1UPV2HiJd2gmrxFHT4WI3YmfYjL5gNHoN0TRkxbreolJ8g5VNYTL eJce1SoelbCGu13NIK6Q9ZjewFzhsCn1oYYRRdzEf3/A4IR4NDitN8TNqtk/Q7+wFnhYy8oPHPS0 GO8TTDREUwPiq2ZTPuVu8cV2YgLtBZIsR57z3L39NftBKNcXoisdy6aQCvv7Zv606JSG04cn1BAW gE/k/ligKribEGOdqU4YkwerwFVToKzY3sxY6ffoywg7ERIWahOP+4KM2yZDEjp1g7RgBpFcu0e+ Pmk1ZLobfa2NqDWzQaMdwZfwkGxyrg1u/IvLD8Kh+2cZTdPg4uKD1Hn2+wcoiWs1GSLqXdmk8WjZ 2sPY8Ta2O3soKc6Yl3BDrjEmd1Tbjk4BHQzFkllrHGG/4yJ0c7xNSmHGr/K2hnUHP2Uv8cL7gKZ5 izBgaNuXjGGeXwjVgSGjZBGjE/m7K9XtwrburjRa/Fnc6YgMSFWScrDeaInBsCzE3W678b5kdbKg WDcmvSGVprm5uQwPixtalRuKhe8VfIeeSJmLC6sbn2Gh2xb9jluBwTabKGGih8IvMJqkonhw29Ca SK23FAXRez4z1RQ6EcuOlEPFZ2aWTyR2pEBZEwAG51NeWrOmKDiSUhomMNYNkn7zwQRu3Ygx+T0G M4hx42BErCxQvabHHKqCW2M8Goqm2X1xLRqtUIIdVnFSncTH7s4TnFVvfnc8y2os1NRNC+ix36/O tWkaDIYXYjj291+IszBGisgJ0On2hHq0Sk9so/tipMM6wDYMJz7NwUOVVQkE47lWuX7pofLv/ShC 6KToTMb4JeugXGG00ibAL8UzvMA77DZvUdUZopZUyuRbkr5rVWqZZX8OVxQ0mXqUlz0PkitYp5wo u9UiYgiSL8hcyH8NtyogpSEUFcqNJ8LW8M54BMtgejMN74KWZjB/gs7qg4xyAydQMKQV10l4HeJb Qjh1W44Wf0f5SgyhTJkQF33fsZGwlCcnS/zuF3qfwbMh9F0J+3gIkGKgJxTxOjWg9Ay1lIdGLF2J U/HdCL7HkiYaumVRXxIEyakijywthKUeiGrs1w0Hb9wnJXa5APMKjf+4rPj5w1U9CdXXug91hHej RsuaGq39vRNcXH78auU6/C4p+cqAOqc8UYkio7S4Dx82bE8jiZKkXP6/vclVGyTpGKeffhGjy1pA hrwByLfsSKabFSb3mX1ZQ22mkYD+8oFAw6pgfKuiQjXbfCyRAX92YmWwrQS/pOFKmRqC8L/mz5B5 ZzjAhYDspD6Qr8Ua5iw7lxcU+NT2ar0q3pTiVfooQtILQwkXZxpRvCEuCm4Mpu9Vcli9jLsLTtfM r7w4gtcsYFb1ypvKldy0QhSV8M5wrmZhqN62hom8H352ubhXNAyqAikLuG23xbH4DKaURzlaJpvI 63RjB4FXIklZLHx3mHjXoIMaBjRUquvNzcWDoOKxymTFnDe5zviaQQ+MT0W3vFhSdeScFFkhRop4 FdnoYup/Z0N10yiw/rNGE3wdoyU1drkWQzM7e981yY1Nj4shIuGD/b1nuLo6xXhy/ShAvBjESQXf CaQm8+z0HL3OFhzfRtjxEW15ghGNhhOU17VADVVRId724XU3fxYecJ8/U5fqEHHcF2Z8DRd+qFgf Dddd8y8EYhF39BAHrEddTwpXx2IMry3hCXxHIhvJ/PsRnnYKuNYYvwrJdIVMDRy8K46QNx6eNR/R 1JSlIfVhS2uG0zM0dbkokbxwsyv0uzlMyPQYi005IhWSZtjyiWJ5WBouWujlUhET3nEjK7dKqQKG g8RrmZpEY4RWacCbzCNpEFrio6exZNQa/R3NNJpsIikEZOZOME5YFPwAl1oMTINuR1VbjVCh6niR H8ZGBSrvKy8/Ha5U/DTPy80k7viyJ8lyojRHNUmZUfkqGcAvGTQGseVgnJYAw8NHJpjKd3AOKS89 HkslwKZr1WCxHlx5XwmKKabFnw9HLB35MqNFD5iJqNEVC/CBvcMdBD1KE1sYX2fIL0qMhufodbvw Ox66O6G8U3oxDRgNbf79XPdnwowvhWiaW9SnaBAFqi2XTNZ7jsqrdGW93qeOU/Fc4oldOXwpD4Wc EUuEo44lRutvSQeTFdpadAaYQbRR48T6iCap0YlfSKadKZIkeb1+PfOFrTudvtRYMQxlaEnXlCU3 yloeCJckjqlSGIn2u3oY2Q3VAHVBqfVOkFpBdJMZ00YF/JSGsqRIuO46yV/FhRR8V9158ztGJtgS 6Zo2MxnQ+ymRZjmyvEK1IcTguSx9oEHiiyftoeVM1cSpfCFz8jvIvp/+2wr8Qhs+6Is2tYHyFIZT xbAvK+AQn8K3PWLJ8FLtoa1NfeRhDP9oOBT+3Cp9LP67NAlhYTepH8yckjYSBHAJF8ASRVKeT6QN 8AAcDj+v9Xg3GcI294HOjo8yVwrQ5XuGUz4sx4LjOjg42oPtMgRscP7hClZty3cePOtLi4z7DhZP E9vs9w+nYHzgsgtWR0uepsKdSvCg509M+yEF+RzcZ0b6SXs4jGVdc4/thBX+iBF+SWNcryGZfiwP xONaqK3BAAAgAElEQVQ6aU7RjH9ts4X0ll+tNlhSRMwQb46x/ViDVAC67FOxNTNRBE3HQ+GNcMH0 tvbmhOYoGniTLKpZQIaJrObXjim6oelBKYudMbAKBbrw5DokqM4ZA3KZWDjdTqq2JjPigu6Uv2U8 NhrHOCIXivSLBFmxXmeHki9xROxNFTIZchaFqlAo5saUbVtOQ0MlHX7q1YCno3gWQ8cpdkjBwDRD k+SwvyKn6msMq+VqMRtbuMwqP34CwHjerA5oGiWZSqhcUNuenrLSG+dDPRKD+e/0zJhBZQaR4VRl A1tbe+IdE9d6qGZWMa5RpYRfWHhvo7/bQ2erQdRV3uLg8xhpkmm2127Q68eCZUlvgescfp9FWs0D i6dT7O6eAJ6PqqkROn6La2kTEc/XbkmEeb7UKaHRsnJ2zeqIp0XHwPAC+wB+wAi/ZR2cl6u9t/Ny RzyuF9Z7IHkHhGTBd9YbLCqK0k19zKHSJcWN9KpiwIppcFOzpIOuZCnqmJSS8aTYd5X3oddMJDPG 0go1WNbU0LFkxwDpeh3lYonrOq8lTyMnPdXIlo/E65Fee60qKl823WTN5il2t9XrivpqkpIiMUsB MMwJWj6V8tI0G0lvkUkGXp/epACurUFc2deu9RqlBpLhX1vUTd5RmeWok1zCvn8cKvU4RgtljdLi Ifl1jJaEdxNtbkJPi5vTFNM3KzOOjZT/0GiJSGBrtMhv6nT68k5ptJbLxDYZHrG7GugFEfyQ269G mVQ4fzuQXpBsFEIj5ceuFDaXWYX0ipr8Y+wd9pFNMvhx28/xHi9ey7YoCvhmCsanyBDAF2034tOP PbhXNYHF9R6Ldp2BM7pNg++tMZyswVnpo17KINJY0WhR0fel9w5N8gYd6+W6A5kXfdyzWurV8kwW w23lL6YuUSgUFvsiDsVo0DLzwYVywNT9Eu+KJ56EiY5yrkwNIpUY+G8z0qlOoCowKH9reahqqXK0 TPcevmDlQNE7xNSjo+Ior0VJWGq7U1vMc2nQFFCXZg0kTkrmzwgNOmJgqXG0DqcyUjsGtxMjlRdo 8pKuJeyaUf3/GsPnYVXUyOuWYPoVBteV9jasJZMtwPyaQn9T/sNifmbO+U7DKVdLmyvs2y4ur04F 17zPsDyuHaDKLJy9Y51rAC9w0N0LEcWs83QxuCaFKEAyzkRDrrcTI+h1UFklqLKeDwnGN3Aofunf 77jKW8UHbS22jdTSgzCgCOVDSZO3fZ9Uo3DPhSqFTsyWvEMe2GjwHaitVeN9HqJYQXu4qPoIrBxP PdYbvr1psEyh5ENq324bCiRrAe58JlJIpm2mkuQ/ejDLbZoY9snnQpWRCXxXsoWMjReaVzQtd6vF pAxoTukVUyQ905Jn51uK/YULellm0MiQRa9honZrNn8k05gOps0wCKKyv970d6WLNDlTNEZqoI2a gmYFCaivlwIxzHztKlwjHydAVt4p8/LPOqzWaNkVW259PaMlYXkb8pGmo95qdWs4ORwM0NuiZpPb 0h4K0YInznqwd4JP56/1IL7ncALg6NWOeFANOxyVNd7+/Uz+be9gB44PBFstZ620MbgYI09LCdu2 97qAW6O22Ozk/kkAHpLsClRWGbb7xwLGM0SMLeZwH99fp5EySS2iVlk6gR1pqEiA/omVwLdqaXSx 6mnOyh1s2SNsOcPVBoss9cdOOXOjb1EscKK6W8xCtorxmjolQTUMJRSdH0ZihgaKhqCs0rY5AsO7 Xis7s9iWShoMCB2ALFwtEJ5vF0bPSmkYc3pZbXfeZa6TAvw0ToFgZcaYSLce0ibI/BXGvU6lYiSm oYYaK9b+8XdMh+u7GmXQuGWiTFFhcjFA9AUKCv9Mw+VcVeRB1bDc2cH2mMOEfCRR0tPisbFOB06x Q0elmiMqb3pCezAEU8q5HB6+wuXlR2kccV/aQ83S66pBmdYS/u0db0mfyLIuhc4wuSyRJ4WsZ8rH BDHQOwhR4cuFBoVkOrgQbXgqmbIec9QkEv56S/0NN0+kkZqjTZeXSehc96bMrvHpvLDCpid/mmSA fS+Da9VCe0iWMogkM7wvDxHbyQqD1SovfI3BEI8SNlowSXeXngfb0CsoPT9UCZNgujZDEAyp0jS+ ho7UgKKQWAdl5QtpctlLMpyrmV6WthbT7BDxLSo4GEqDZgm1OcNNHphkK0XxwXShpiFSpVMaQcsq pz8nPcGRLGMy9cL4GW0Su9mi5ucYVka9GNlgjIB0DfyvP6T+sGqQMPHzlQimBteix8/NJbgWjdba z2pNbRNHUnM6z9WiUiMbRXA9DgcX9/J4+FkvpnItIw1iecDkOkdO0cTAQdBxxcsSdXH+sV0xco85 SPgs54qnpa6yDRE3aTJDQ0V1Fu4n0ZiTsrJsZf9Srn/Vjg/bWthEwkQ6EoyWtt1CcK1f0w7GS0aL ZTzvyqNZE4rpn7aG8GsNBd1MC6vVQ1t/qSIBDYLqkC8C7TR6NaWSSTUgNSDSEKoobzawoLGhIaJH ZgqeaUQ0PGOfQ8Wh1HBp+Y7QHZbwJXpbpisPTwaDk7HMRxu9DsVYaUhNvpo+o+JQD+vS40XaVosy xeEKmkljOHPtJvyWRmM0ySdj6Y/YbUnIm5Xy2EjyGpb/+EXTCx16WqMlof4trcukiHg8QROpVDO5 WrwxgvFcB9zwDBsvr9hU4R4lNaWNdz+fSsXDk+eHqInpsP5v2xVPa3E0+JrF03u7T4VkmlmFrKnI Wt8Zi2tSNOVaCRsOQ97mMBUH82Keyj1MJTtOpeA0GUw7ZzGxRDhnyynxx2iI/zHp38C0zspduIZ7 YXhXDAcN12e+qPn3GBL+tYW+fOmKA613f2d8LA3XTFdoGq3lrjC0FWwHrqC8UhTmS3NE4E5Y72q4 SHxjNkkNTb0yTNTvVRDdMOyJeWnYOOOwyDzed9fNzbsXKXkwnaQISNVguQbD40Y1BpiVdGpb/u0f PbiWBuMRsroU+WnHd/Hx9BSvTp5tbLCMMQkbqgBUaLzNxOfuM6Tbd8VstZafMYThJjQe/G3APYca Leo9qL46dbWoAMp3f0ne04a9Axu3wsn3+6Ib1vgF/KDV4V/RsehrDq7RzxfvZR+weJpKptw01Nfi U5rB8Jmhn4R/bBe85r1oVx/WGdbCgzMhIqMazo10b28dA60HjlS0k96dXeNFMJHwcL5omrvIZZqd cTo3KkNBCc0sdntJ5MQhH2tTIb6HjvnwTwqAC+12c5dHImQ/qg60JTcCtEuGsCMWW6Vnlkp8Kmbz CjFcTLVqXK0GUnsdkkVvWokpI3hVk1f13GgY2cFEi6+Nh6a0iWGr66VkTxpA3s/q9lqLg0aaz2L0 voQm0QmlvIZhjOB/vpYWsdkY3wzLPKgyEX2lcP62MaYsrwVcDgYYJWMkeY4oDLEVdbC/1cd+hx2x HyBgKFrxNlLWcvqPY7Ro+Nk0hSJ+IZu1OmwrV6IsVC5aJaTXk6NNWQtDIZb+cDMTjDdGix4K182n s7c3JL3XMt+jVhp8pabZ7y0KeCHzsLv7VOUNmxQhArjWLDHGkG9TNWEaJ1YcqIglpWaUrE2pJ86T aZAifK2gq8x4Jh7cXIil58ViJOZubfVv3DTZwXyxvCeCcqQZEHt6bGxLui+LIJ3W9EmIllHKZv3p YgwQ70lqGoVfkgqPhDE0TwBlpKvnsxxOmmvQKBDzEl2tlkKgNYp5q6KoDHpjbEilMCoKy9fiPQeC OanB5WlRlNozcf76kta1boaty4MLnZlHzs00i8XYfyuGGwewpDHqzGcju90jp4uLoSjhf2W8Szhr VY2MEj11hcvrgbDBP52d4cnREZ4eHCEOQiRZig9nZzjY3Xswp08EJRkeZq3Rch52HckIsklDVSM2 VBSe9nWx2DiY+Cbxs9bzWjX4c3oYPNQJ3DvEZkV2OUNlqWzw0eELfP78XpJC/0yjaZVM6QGR+kBN S4oc0ii7bMrS4lIkgN+n4kCb1KgNYROQvJhIMop7i+oOiicTaw7FWWHvwxM/waB0FwqmFyyQZNfI tp4WE7eCfGikhTjr3QKSIR9BStdk/5TBzfCPNX/63aK9xTBnLjQVHhf14ml8LAX7hKSpVGXJ5DCc peEiUVMyi16AKNxaW1BtuFvzbbGMxpZRTpjqaJHpLg1aVapmEU9ou/i02kAmtOU88edGzthkKrWp hsb4t3pZbMlV0QzNqgKsFfw4esn8ROB54J2xNdljhoect0mawg98XI9GGI5HUtU2GI3w5OAQTw8O kJUl9npbGE3GuBoO8Prje/nd4/0D1UX7giGF96zaZzmUZ91LdlnWE5tq1I20xfLjELbnSjhN4u3y Wuaao8ESaRdpGryuioHqGMphMv0LaLTSVleLa29v76mEh9yQ/2xjOLqQtRpFXTkIkyaHhxqhRckj Rh4sSE43kqsxSQ7uUQotSnaW2JWjEQxJ2nQGtNdoIPuLNiG2KzwNUvyaqpQNx3T10wDQKAmxc/kL 258Q02EYRjr/lxgtWlGCbtoclf0BVRaF3KSEAvrTLJkHx3ORJbTmarToRXERzadNtWSlFiKl1BPS ALZtwGjBjba7cTeXh3hbFUPB3tSrootKd3WSXCHwu1NDxp/z/6Xp5tJ1TDEyG2aYkiBiZFk6EnCf QP2Mcd+bNtVQrHKJ6dsmFvh9d2YX6XVwY3FTMuNFMDjLET6SR0xP6T9//gnHT47x+s1bnBwfY7/X w6vjp3Jf7z59wvVYN+XW1haGkzECz8ePJ89knViPxYq3HYyLCo2zGbZKL5ya9aEfIohDOKE/BfCZ 55Nnm1A2e9losSZVDzTWpN7madEYTpqJhDziDbZsOWO0DvafCSt+9AiF07/nYJTDukkC5OIl0Zlh XaXwtYgze+h03HtpbHHf0iHitcmDY6ThONTOCwR+YmTDfcGEm+5VC0duinPHx6jtyOOauDQZ362u KHV/VYXh9bUUTt4mN7Fq0EPx6I5LqUkpkh00VkZWmSeWuZ4p02Ftof67yTCqbrxRQBVv0LaljGI5 80jcid+hGJOHTrwtntwqgTtiF5wkGjej3mDqB7VBhqEtaLlOzGutwKSkW3GioaAA+ND+igTvk+S6 ZdlrkTW9P6MMwbpNUjNYbK27SjENGjXeE5+F97D6vbAXoD3tq8cqBSHKljW8R/C04jDCDy9eYHdr G893D5BXJf76268iP8QF2I1jvHjyVAtqyaM7FIL2o42Ka4MHmt3ADm+nOpjSJbZDo+BcuLUNN/C0 oeOSwZBseMz2dukNo2qM1F04qnZPLoUVb4wWuUxkjXODwxRO2w4GQ/bc++cxWmk2lrXPQ9+MEhXG TYqupdm/Lhu5SnvAu7FZDkIDnK/hcKAhIjP8IhnFsiTuhUz2Hdc8Q0Oew0+8FD9XHWlsMe1LSLlf FonepUKp9W2WtBBnCEYjcVfDCW1BrzwnDhqNhFItwxnZjh6TKYTWjrRKXmXMS+MmD9uGiKZXoMlw MmW+jpkv4aaQNVW+RmRpGBcTkF/xeSGcVtrEYqofH3QVkM/GrUJEW67j64Qvd/ExGc66Nmx75WxV rTSzEQ/k0O/hNZggYCdlV06x+XpLnkT8Hi76lVlTcnR8F40kIHSQEZ01uYSUj2G09nr9aeso33HR ZzfrXhcOGx6IaOPc+28ez1CRRNpQuYBKBnd49eKVZhRo9BF0IziigMAW2eYTehDMD3PoEg9dHptq aYnRonJvi9Pw74HA+mxyobQHZt64KUky/RK1h38EnjVvsOTn83NIfbcwRNFqx2+CVRoHhfPFJdWn 0AEBeNGwo9elEIpwJesSfbdE1y1xXSqZRDcUG4oSRC1mIORtDyJ/qL2UM7OWqBzFCqMh1IE2RKIh IEDN76FHZ8qAOAEEMYXER06M6wpexTSz8aJouFj/NQP+1XCKhPMdWUwtkNbiZcbkptZQequt2F1c UEZB0WQuFRNjowqC+ArWG+auYFJLvC3JhogyQylgu94rDTa/l1kSDQ85+Puh3RGDQPZ02aZ65+ea hsoYy1VGixtTjBZrDdswnu90nCSwpIXX48HwvNKLo2N8rcG0Bgm/lUcvd/MEgtQAui7cWBvkYqWd umm0uKZYMzgajR4sG60aXM3U0xKCZEt7mBBZFNXebfGEqb2+Ke3hHz3SVCszbrMJkmgiruW6Ird+ 11KTCKkmzszEmDoJDAP5ZzK5nmYNCRtV5ElatXhZA2OwzCA2RaMgkiXTZg8rdNuX2PAiPjbS08XI pxpaAD0rLXwmp0oLIUUHa05ahq2zqDlN4h2HacpatmCtpEMbtnMiQN92f5EKCzVam6a764Yk1LFM DK04vR+6oauHAumqKU8gnfemvRGl805Cwqk2nFDeVlveU6rKIg2LdKamkU4H0jWaG4Ip3jAMxGAt vnRmI3vyskRumr/fgo9mBShQSQULBSaXN54dsPyHEpWayeRvddgANi8E33pMo/XYg0/CPobMSlUM /QLmpNZ8tpV9ppG+USFhk5WuWCw30eqD7KbR4nojrJAmqzsnc4i0cOv1rxpyuLI/Jkt5SHlwWKrM DCJpD9oDMY62YO854mlpYfC3PRrx9quNnBiNjDTbv+rfp9GUKJgSF25b1ZUFKpdiiaQacb0SgPfa rGEg80QW/AHLd+YvKqeyTzE5V6gCFQ1LSx7VL+SLtVfeKENK8yKVqa69BVV2eNwK6uvike4mnqvk vYZh0YxkKR4bOWDEINrrzeNa+r9t/0OLEMRil+Y7X4AoN8wkle/+/Oy+zT0oyU1lYYiHMTRUL0wx L5bkSLmO6HG5qg0kdYUVLi4u5N7H4wmOj4/lNJ5d24gE+mK4jGQOEw0Gd+O1lGinPK1lTIQZsJoC 4e2PNRxlWyaVVHmM8PCxB0O/hB3r2L+QjT9veZ/ClypKAfXptZBAa0IMgQ6kjMVq6TiFaJDL+rlh o26+e3q6NDRMPhnvfn4IPCHa+8wer4YgzF6Zb+xCo0Vci54WU/oEsvcFjP/w1fTiH3fcEuNTk40E a0ZE/MsKjM70jWC9omYYFxuRSDSSJ4gj4ll6GNNZMM1hTGj4PFhRSwijOBizcroRtipDvlWejBoN a6pOuMy9oFbUqmanHDSKjdAHclkg9LIIxnFBzsvMTMFPozVlXP8Wx2L/w15v684TwLDRSVDlXEl7 LnZwXvd5qy26llpGA77S6NizMK4lg9KDMpiX4BfiwVHVQbXjda5KBKGLf//3P+Hjx1MMhyN8+PAB T58+FQM+e4GaRQymmuech3G7v4zKBQtNNUTk/C208mIIVdjC4p5/H2whRmqCxW48j9Th+bGGvlfN dK70iNpDkRk5X4D0Ldi+J89KEud8en1+M3AtqdrC1hqjNXcPMicKUTCDZYzW4mfo+WrdIXXd2Blq XdE0h4aHSmMhCN+RHoiZANdCe9g9EXY54YRvFYy3pBnNTTMh74NcyFS5kLdj2FqOZ5ISq4bqwqVy EBNwJ1xD6EOTYCGqTEND1xTmrrtZutWiAyVU/NnNcvDfgkBF6uYHP59Ut3NPeA0+LK9rMoS6YDRL Nm+06L0pv0obtJIBzTEvTbNuCLfD0TQsFyVDND6v9vW7uUgIbNPKz9qKqXqp6SK0PEOjIWujtI6R 8slspmHY8/x97QLNxR2Il8mQcW9PDexkkuDPf/4z/u3f/m0qn0xjZMqGlFqh8+I6YQvGaxszcdUr XfgLhwL3feiLpvsCNkqeUBgizTLBtMwcfgvDNox2Qw6dOxi5KRpmO10XMWGDwNeMqHA8daMIGVFK lha9fs4x1+i8BttCeRrlitusr3wX1VxbhQ16WtJhJs9vvHfeC70Grs116pxTT2uq9KBtxEwPRO3M 4wnt4fr6TMDte9Ug/k6D970MpEuEMBlNyeV3MQWMrA+9ThMq3xxscUcZZc0aau9Q7XAlsk7Cj6vg Gva1NkNYdRnIhBduIZlB1Xx2Be9iSc9DhmRURqo+yP+f77jDv8/+vxbvjUaRgwbOTJ4sFmJfHRYh r14wwjKn4ZHSHcojK2C++jmtaThmPBmpbeIktQx2DtPLMMsKvHv3sQ0RffGUGM4yDJnnW3GuQL2t ipIhKiRI6sLh4b6UhKhO+BBnZ2d4/vw5mLdQCoVpgKFUCikd4kncbii5P3mWZsoOng6GVb6PmofA ktFike0kYbmF/eiKsl9stNhoICvRhM4048dwqrvVFRB9vmGFZWo6JbM9A+YZromX1CVf7ibtxjhZ chhLL0omZG5KU/Ma3Fyku9Qr5GfMpiPmOw9prFN6QEwvQ2kuZI2LAgk0vGdnG37f1bXqYX0rwyIG 2tm5wRGMnBClk6Mk9LBhSoR7VKGQkXiwq4yWlsfNtOxI6tbiaIaRPqq6DQnphnFytX5vtaY4X4rr buvf6bp/AR2Qv09jw7h3OZ7VFLF6NGEUS9xrDBQXh/l/ZhM1hWytDf046IWYztCrJ5K1lLPO0Kb7 jgKNDAu9qZdFwTPyTXhKu26Dl6+e4v27UwHT//73v+Po6Ajb2z0xaJxTdaXVcEqHnEaNHx07AftZ 6BmoagTDB3pbe3t7OD7ek9PEsObnvWD+jPwsIZyKHn0lWM6yp0yVA9sJJGtITtI8pkXpZrYtYznP twTE805Ci1nUCmVdoBOq0qa1htku0AX7ZbYlWrwADRXXzDoDwlCfCQ6uwVxKpG73ajqdjhgchSpu fj+HwbTWeRr8uSQC2tIUOUznJWosWxpEcL1cD86+mQyi6wWI462FnzFPx+ynF0XIOIcZuZObXU8T ZRolGX2x5Tlj5GPK6sjbVCxLaQ6SKScgTvzFtHBXhvjqCXtQ38FV1yFpMo7F6Ihs7RwJlACz6aRM j4UPVbXGio8mdV5i1FStdP6a9EqYgVBpZe16Qy9kVehnuGEm/OJQTR/1+IycslxHmPBaHCu/Cxuu p8oDL16cYDxO8PHjGV6/fo3RaBcnJ0+UDGrX09CScyza8K3MDN+T3Wq1dzo+fvjhFf7yl5+ws7OD jH37mgJNqHVpJmNCsqrcz1I3Yt4bBQ5peOdJsUJ1CH00ZHxnFJ2flfgwU8nmA7aERd+Yp2W5cl8k NHtZwSZoa40W14coLbQUmXWGynECSXzw/UroN5dJvRU9apgkipBZlFLRxhEL98u1SEyxZNi/2miZ n9FoEd4wvEV/jqtFz7nX25W1L2qgD9CLf8zB59rq7WuE0A4p9DY6WWxsGughrz0ON7uu1mtqD9Sa ZTpLWvIa1Rg1B3+q+sv9wwSUS3eYE85MFy28lIyk5BRtxlx96NDUvQev6wloqi2w9dQyhFAC/xws MpXuyG0YSL13p1WklOtQDbRtrkrv6PaefloXSA9o1ohV5ZOls84UZKfejzJvl4fRt+J3c3L9wMF3 3z3DeJzj+poNN0ndoIfG3yXGogvZCPwplYKqqS6ygmEuPYUO/uM//gPv37/HX//6VzFc/+2//bsU UFOocKZTzw2iooFzd6QAJY1b4y4KGXJtebox6jRfMAz07kaTBB0aeeDb8rTYJaYoMGnGiJsYdtSS QO91kOra4Pyukgma/z4zFozXnFcquk5tCGhKVaQ9GHWjoliy6wLU3wJAG9zWGFkOF47UICZtBpEe De+Z+lRMrPxjhiV9DLud/oKx6lhGG6T9VMvfFK0wacK84dXbbD+ZCJzHec0sDkYjUaQGy1SCaFjY Ul14QpsSEH5ItaAYRi12Tv5ag1kylpOIciFT7yyybtOfHN1eT7AtnwuOHkHYcrwkoxC0pFTdxAzb VnlUElq1GjzzHhUNHIcJCY2CqCnEXje0RIeegLr4UqwZu+j3T3BxcYlffvlVaAsU92OoaDw2A8bz RfCwMJwrCcfrMba3u3jx4nmbRTzF8fFh2zFHQ0Sj+lDYRoKnXnjRfA6VSVnKcHlsZ++LsgM5WTon Nrox5ZhZ2Eom+bfjaXGEroe0YtlLgoiJgohKFXeZVhbNt0B4y/Epms35TtMZYIZ+6We6sWzxpso6 BbwStlPCJjDtaHkYD1dTmaGCmBRXpMqEI6VMq9R1De3BGC2u7aPDVwLGjydXv8seNIPrtNfbEe/K WCAa1dvE/GiAbYbOEi2tlpteNUjSVbVSNvaYgfHmQBYeFluEiZeVKcZsftmAySq5Ei1pQW0Orj10 KAdGQ8FV/JcpJ0tOTaOdpdQG6p/P9+tbHmqI9SQwE0KPSspd2vIboxixzuCtGho6L/Yl5Ene7UZ4 /vwZfv75FzHGh4fHrZurmJZqwmuDSbrAotHFkIJG07ZxcLgjm4O0B44nT45RVWwnNpzy24zHReb9 vF8gXbFJvmsLyucHaQD0rKhSYMJDpWGwmJstn74tIF4SPlyDrDxgzWJnUXJ3YZAjyGJ525tKaT84 62Y8qxX/xIRiZpGYyoyiXj8pr+S7IrcvG4+eg4E5PJ8qH9SYu12jXgmmVHsg7UFL03Z2jqSt2NX1 KdL0ft15HjK4pyj3zOy0uVfiVRTxu6ujDlnugvclxPvWK7cuD6EnzZU1mX3O7DqNu2TBBYNmBpEF T3NDS2SUqc2bVi2onmzCVSTFrzHWA5caQhlxPeUi0UtJb/WADKnTUAZUVK2Z/twI95G49rAFvuJ+ rRo7uz38Kfgjtrd38fHjRwwGA/zrv/5B5lR7MLL4uSvht2gyOW0oV9NAO9jZJeHxGNfXzJSUePr0 CWxLi6G1qYV2/4mjvhRtm3uXcFX4LAT6mVVcujWyw+NAjVZ7cnPRENNi9jBi2PkNGS0Okl0ZYo8Z vnbmuTxtpQPfNSWvSeYtHn9jS/jXFEjKIfJ6vPLfk+paDFjk9BGtUFbdZOcwbI/a8JBcLUMkPjx4 KU0uhqML4d09tInryu9s5by7nR10uzuzcjHY8C1PcLbbBtesyI63e1cMNjXf5oQMbhuGgsLB3zEG ixGCUSZlAo31wHRMVt6NNG9ItI2VltdEUy2oddjQ1xoSRgmPSrkZKl7PzjuqRXTj84IZKWPWAHlt xzwAACAASURBVIZqqDTLY0D2qdZ7pYD6Yw8ajk4nEIN0daVu/dnZZ6EzmOJuyYSKOCC7YS9rvjfo b9NoAaPRBL/99hpPnjxBEFI9YiQGSSVvaPg0M2mwK84Ln8tdV3dI2kPko8mKacG0XCcKpSyLntam J+TXHJyPjOGtA3g9cvGo368esfJMnWnpCOfvseVbaIDKOkNWjVHUxFtuP9DSaiihe+zuyL3NjylH 7I7v5PqN57haWsKmdYhxvCVRAA8krise1g9Zu0qADRCECmTTKJq9QqPpw5POObcJAxH3vpp8xmBy hV7Ux273QKWEWqMlCTyRk75NqJIZbsXB6IlOK2VapRRCPRzai7TlYa27mGpKKfjOMER76gHDIeVO /d9F2Ucljw2Y3tb2CWdm9bcLQ7zNxnGoUUqm1IApA5qyNSKf/HWr5jmHbDd+fLyPX399K4aL96Qc LLq4Sr2Q9mGWK/Iz88gl/7ff7whD+H/8j//Cu3fv8N//+3+H56uSaoiZTpd0PEkGrdFS3hnLdHjQ LHcTmlJTQl+AeGO0VLWDBd6ZhGL/SJOVMdS3KgSdADtbmj3TTt7EHZW/ZLskFq9fDw8eFpBXKdLq GlWtGbxNR15PUBc1ut6uvNMVl5Zxw/Nd+pvhagntwfzU0l4D/EP9eE0WZSIQqHujuPGuRbNePFCW uTA5ELb8RLdVrbVmemPw4Vt877cICQC4nlzg4+UbFG17vVF6jTRP8Hz/+6mnrzQoV2RkjPdlhpGH YsaUYeT036ReWBNM85/X7uc+csPDum3Q2xqNL5EmpWSwtrd3hPhIFP9rMHMN4VK12dWjIshZ3MIR E52tlqLAwc+Zk3eWPSSXqriXlyi6Sm2zVw0/VN3zfi3VyZoO8N13z/H+/SfJItIAdTqq/W5IqULG jbdbSec5Qyo4iIX//f/4d/S6fSnrIXv6+fMTzXyxVVRLdqVYIHExk0GUJrB+B02p4fCKWxNPq07p aZH2oFnaMKJnmEsb+d8zPJQDBjUKesIdH7udHe0lWeULoZ4Jh0Vq+hGNlfDb6gx5NUZOUP2B1y6b FMPiXIyWY63uDrXJrFIMkCtNUa0lPFIwMVZDUDIpnksULCVbTI+wFYMeFCsd6Uu5G3hUbIzx8eot BpOLG52pLkafkFcJnu68QthSfoQasdWfivyZJIQSz1nOp/vV9Pr050nSsufZChASQZiKjg0lKRtp r72/v4PxOBOiJEtlTk6Obu1qc99h5FN484rFqFrCupjdSA9r664ZO13/n26lPh7LcaSv4BpO1vIg SbBMMlhlLdK604JO20JDYUHXRtQlqXNzwxVGPr7/4QXev/uEN2/eyMlCo8NQjl2EufhM0bgmERaf 2XUtCQMoaMjxyy+/4YcfvpdQiPNjPFGhpzALKZULVHicqNZQq9i6alDlgZrsRpqGzHF6WiQFksj5 tYcQaXkw2Y0029juUPnVEQMyb6g03A9aGsfjYaqScKnHYqhkjdwR+m0yqibHuLiU8NC117e0u2sw PCPgrRnE5vYPCz3q7jXptAaKgPp8R5zV17QwTK7xeXiKjAcgyczkOa6ITkbJEK/Ln3C08wz9eHda EkUwndibiicw2tH9qtzJRS6kacmn67+Z9Tho1VVcVp8bWZf190xmuov+dg9RHOLD+zNhZr9+/R7f ffcKSca6wQe0smqHqZujp2Q4RasaPszuh+J5poxGhyF2GvoAh/Y0VLXQTbOceZqjHq5xPdtGkVZV Y5BeobvTE17Y5qPGyckhPn8eSDnO5eU19vZ2xRCZJIcmOraES7bs3jeoJIP49s1H4QO9fv0Gr169 1E0trHl1r+lWy7PQK5X51JosbYjQrPa0Ag8NMzYtV4tlV7XvIskKCQ+/xuCdUGAwtSv43VA04WmQ KJu9yANULTHpXUexxEcK5aW4vxojLQeomsfHMcsmw7D4hC3/CI61yTpZTWMVWsGU9tBs/P1mP9Jz IkOdBUwUXNx0nxZ1gQ8Xb3A9mSmlci/t9A5xOVrNyE+LBK8//YSj7RMc9J9O2wea8jrzlJrpN/wr Rj+54HPinCx5hFzHUUtJckeDgRSIspxhk644vu/hxcsnqErKeTT49OlMXL6jo33c9zDWDIAWOxqR OpOlXPl5m4L1XLgaRmmGQb0m0wuQD8/FzrCIVAENGayNGhVUBKHT4k63k2dSBBuT4Rjd7buVIha+ CzX29vu4vr4So0/uzmSipw89LWNw17UF47t88fIphoMJTk/P8Oc//0VrECPWWioYb/q8Gb6XIcbS aPH0WpWsmHK10HK1iCe0gozSiecRgXjW5xXMArkWnIihn2ojKSF3LvRrm96aEiTtFv7l3181heAh eUWBxa9LkOb7HhXn6Li7cO31tAxmiUUEsFltuBwBwgMUjWlHprDHlCvWaudb1IgzZUhtkHcfR4LX SckRrDK8+/wr8qUIqqgKXAxOsRXviMeV5KuzpqfX7+V3D7dP4Mu+1CSJaTCsiS+tHeSBOm2JtmKN 0R5wnzOScumisfRlJEWcFJZbZJ2u97jof1YYDpnhKvDbb+/wxz/+i5yO6zaEGRJyyMZS19C0h9eQ ZU0ZDd1BkyGaK0zWAmPpJDflUvHfNsU2yJrPRwmcsoa9ogHH2mcgtlTWGA6G6G2xAPs+nVwqfPfd CyRJjp9++knqB2m46D2ITHKrLGHCO3pGC/pBTY1uL0Qcv2gxDNYnKiXFaHCbwmnOMdnyohQhQD+x gPVAtRgtG6iTmdFiE3eKAD5GeJgSC3Ea6b5EPXB6qKJ0O+dRyTu1KUbIpiezkqgvNVa8zqS8kowf xRx/r0EDOSkv0POO1mq3kZJhds3i/ltMwnhycBDD47swhwhxIU0qGeyWfzin9wubLXwavMfnwSeJ uhj+5SuEIrmWCLxThK/f2cP1+PONK/E+LkfnGKUDvDj4AbHXQRhpNQ2HGCoqmWxA0TCGjSRs1/Ag 5BQrcwyHxcY9CMkXOjjcxuDaxWiU4L/+68/C0g5DPS0XN4XKs6i2u24w1cDhTatkyroymvmsgfG+ eH2TZdOGC0oN2GSoYmWNYpJKat97oOfgESDMaoxHYym6vVetpVVL4qLf38Lbt2+FIU3FBxp8Q7+Y hncsTF/xbAz7iW3NCwuyPpxZI5VgVi4aVVKJi6m8DV+8CvyvDblZSxlZqBgeUqnUdVGwgWZZwX+A QoeEpa0+u9sJsE3A1acSrRJ422+dSr2opPUcn4rvq1WsXFcveNt30zhl5QhptUiy/T1H2RS4Lj5i yztcmT2cH8v0ltnPof+1aJRmBlfUeD3FgImFiqy0FFjH2pQ4vz05wXUxyUb4cPUGSaYeE+HMTthD v7ODUXJ9w7CIdA6JzH6M7e4+hpPLm59hyF1m+O3T3/Bk9yVsNikRuXAF1u9ybOaHrttYDdbCIpDC xDEcz0O4Qutq1djqdyWsHI3GePfuPQ4ODhCGpNWz5VYlpyUrv+khcWGqekK+kik+L6/MVOasjEZb XGtbceVZqcrkPEi3wYNnhabyKe3SduL5kuGzvCAtkVgTxN25FO0mw2qws8OyoxJJkknx9PZ2H91u JWVHxiBL9oReDhfTwvXZ6UdLqkxtpFHeYHhI74sn2lRsULhaBLITmVsl563JmJJgGngoxpl44Jyr ++qd880STK/ZQCLysCXqG7zPBmWLr5lQgSER1556BYYEq1r//H6mwY3G1XpNpfnvbqYcKpbR/KO7 KnPQcI7LCwkP7zJaa4e1FB2w9V5ZYYyR0lukE412cKc2G3EiroFVfTA5++N0IBm+QXJ9499pkAIv RDfqY5KNVybYGD7SC+ZnaOyWQ0gTRr77/It89snOC+F+mUoNdVju9naNgop7QxPbcJXyHMOcSgIq MXvXyUYRux/+5TmuLob4+eefsbu7i+PjI3R7XdkchhukHWzWLR6m6E2nmVmbJeIwM22omad1gwJw R+YvG0zgVvWj18z5jPsnOXh+d+9ptPiYh0e7ePf2EwaDoWQPDUGQPXe54LSIty3FSQYrQEmGjLjx 2VmzC4riuQtgvjRqpUGUno4rFgw9mryUJhYdw36/x7RJOQ0qRN1Y2tZzkdJAa0HvrEpPZYD04Jn3 AqgVxkLhecldzqtoKo1GUl+67jBlyJeWQzFUj87R+sLBexsQiPeOH9zbs65rJJPkRjKJ+2s0vBbK gIpfal9O7YN5M5FDgPzN+c/Cp1o3iFPRudjtHWKYXMnfbzwTI7PqEtvdAzFK9NaWh2qxxVoVkA6l QkP7drrSiu9OilTby8HVfn83/12VECBt642qIPWpbtP9ITa1u7ctm+7jR6bv32J/f1+MF/XMTar9 5ndp6GL0nzi0jZd6VWYD6s+1MHITAX+5RlGhTDNYeQkKjGxcUn7PEdJATHIkLLnp3I0Dzg8a5ZNn R3jpEJNSDgszftK4Y4Gr5U3B+GVsQkuLSD/R79Y0MFu3DaRNmWmbJo1ZW1a8Ia9y/pWbtqD2J3hW rxMhmaQCut9l6E0jidKx4XYiHJCewBS2aTLbejlGdpfvlKD3LMxXXXZTELtOqoXvlWKS3JjzRotr Y1Jdoahu1lF+S4Oe1qg8R8fZkehjk2E6oudFPlerd3N+VE9+2GrJ+fL+DRlTmvrKmlJcKvIifH/8 J7z9/DMmazpI6f3WOB98FLyKzsckG97sot40uByeoRNtSShJoyXr0fWF4rC/dYzA1Z6kZj/PkmYb hIbCO7Nb0P2WCmvTdMKoBZIIdps7zsuEkYfnL45xfcXOMtqe6+Lis6blD5ShO+XVtKGfXlNBQ57C 6tWxdlAzK1qSw6JS7T5718iSHE2awyoNnX9zA8LGBuzY41Jo8D5cKzFaGegbxfc2Wm05TeUu4Fei 6pAzRDRtxbTom97l8qJRXKpZ+CyBWV7D6GopbWKWgaTREu0hanMtnbRSLB36COpGtLNuK47OGLJ5 Fjpb29iKWGxO0JxgOjXG2tBf2phRcldrQecLzRn6cZ2QYCjffcvcqZ6/aipRkXZ2w5bQE75lY2UG vb9R87nNHq7naXGtkw+nWm31nXNjsucsQuaaIp3A9M3kYUWpIpHb4QHHmlo3wIv9H4QQSpD8tkFw XTCrzh6uxiSPLu5DXo8hZujF2OkeiAPDz0ZePO1LaiTQp3p1G5YWaZjrwDU1dncNWSRtzBw5N4s7 lwcN0O4exf8dXF5cigTw06cn4P1Ry4qLlie/8ZxMWEA3lptrvryGQLTqGd3+naoNX2B8NUKHXts9 vSl50ezWQ2Ph2EhL7fZxn04zoWVjPEqQ2JSWvr/RIjjO0M0USXOO6BFprzblV827+MvGW2RxeB/y WaPFhWn2UDOzmoFUzIhebDvntZI1p4OHhufCDSmRYmHI4uO54ujGdLxpKkT9Dva292Wd8ASn298+ 1aypRxCq3MscziHhTZJMDdWmg/NKI0f1ym5XW6aJrpi7KzSC3zML+CXk0kHxUe45cBablXLQ25Qe BvdMdFhtdESDzj1DxRBRBElKWTfz2WPxghxfymqY4Dq//nCrQyCYVVWIx3Qx/LQSTuAa2OsdIWaR /pxgwVQVhtdg9vEee0MPX1HIbdu93/K7U1F/h4oJjuqKb+SxqMe0tU2m6w7Oz89xcWGL9EqvxSDU IGlYYMBh/U6W5ND9nYUS64bUJmUFqrSAxaYVbD3E04XyyxtPCTCh9DKZuKRa8HkZfnBDliXCJSnn 20bHcTEZpUil9ku79Gw6+H00RNp5R8MF42kZIF0xKWdqzJbnR7pUN830s9qFR0NBBWI1xOTPIJI6 uRpEPxZjsowL2j4BcaDnMFtZwC5q0JQ3rg0virFPfX/Xl4VM+sPUgxY2sxpMDuWEabaPm5GhjdGO esgQnKYoZGNSuVK8SttH19vHuPgsdIJ/hkGqBflaNFrzTHXHpTccTkUDHzI/xAF5GHB+eO4aQUge ZFpVQSKulmU9IWfKDXB69bbte7l6EES/HH2S0I+YFkUoeX+dYAu7vX1sx3ti/GYCBFoWJ3p17LXJ L1ug6WhyhfdJmssyQ0EJ1fozV3qGtZ2V1w0xaLa9UTutVYMbf39/V/qxcfL/5//8T/z44484PDyU zckHMy3dZUIoHiiM5vrukg5SE5JMslgm9OOLyqsaeVWJ0dp0xK4rRqsm74vywjxRSiqH3h/7iiwH yXCiyp7hLTpOKwafm8bJAKYmPOScmJ8b3E+Knttu1PNDwrusaQ+AGf6lffCaKXYlDPuCpTxKCxHt 7EYb6U4HDU9ABpALOwpQ5exmzeSIAubkS5GGYMI7owYwzULONdHkwmR4ua6H3X2HarblKpDXwgc0 Wh1v75/G06KxSkpSB0p0vN0peiENK2iIbSNDbN372szsMmoZj6keogq+bMbSNJpBjCKn1YFT8vJO Z088o9fnfxdvat1gqE+OVTfsieHaCrfRYWE2M4DuIuYsmcBqdajOA0eUR9twl7Lo8zLS+gwaDkr3 KGOATLflRYKi1gKptjklPDIRlrvPEKBMOriG6PU4eSV6va4A8aZg14ypu3hHcbJY5LRAOU7Em1o1 aHDoGVXUiN+wM7QkFlyV5qWhYaarI51OHig+ZzkYXA6AnZ6oTd5n8OUSp2LhpyHYzntaxmgZBVKt P1w2WoXoKJlMoRTLEr+ScI2HlGZdpXuMhFjMCKVibBRTW5RaZhjvs/A4pnJHucDlmupS0Stsr2UW 6LSHHZttrmhQ+qWD35uMJ9NmKRzqadFoff4nMVoNsnrErIXUH84TTKXjuQhV5ht3Ob+RqKgqDAfX 2mHddReSNFLSlbPNlvZNYPHyD0d/wpvzv0sd4Vp1FGae/Q6O+icCrs+SZlpsb9bTKvyY9oR1sdLl aEGZwRK5dK4X0lf4b0a2XLrET62YY0+7f9DS8nSkdRZSact9MR1sNhkq6aI6ViZ9qw0ASJVQDtUy e3sVJrNqsAFFOhghnuJfq4can1LYwZvgUAzHRKKZbcdIEyAeU9Vi/O47iO0wrCQ7PB8mU92f+wwF Txke0oXX31XqAvWQhlMMUAX4umLMll15houqVKosY74LEWUUMH+iYSH5W6J5xtOWLd+ob9+2Xmu5 agwhCAQw6cH6zPnECZU+dU0bHpXWXHJIbz+6+20VwVfR2ZKGHq2uOOdoarQCDQ/Li69egvPlQ+eF igecqY63M5N+kQy9HirMoD5kDmno+FqoOy/ecaCy3NK13afRioULV7CYXva+g2d73+Pz6BRng48L MAEN1V7vEDudfXTjfps0U303lSpXRRSjcjI/tGO6ZjqFA7omE0z5cLdwEUd6YMvcsPcn/8d0q9FW 3NRXjsTF9pe6OW807TzlGCNL40hrjkvF1uuZgL1c/LMuxkoGFAXOaAsJuVV3ZA7I5A22YmTDRCRQ 1t4LwzyPYV4F27q9eahkuWpmTdTL5Cc5OfTS8qrZmOHNV5Syjx2NAMmX0rAAGF2NYe+SS3afYmnT xpuuuQoTGo+oLG0xWpwz42mJ8ZHmrYuUDy42Gj7K16jHzFInYlojTJIrRGG/pUJQz5+4x3C6QM1i FFWIeU6UvAclFptOQDdnvxFMgk1GHqvj0rphIgFmx0SSp51ng2mN8nMBub+tYa0tyCaG2/X3FjCt kHio9Od82HyaPSxyLzxMI5XuqdNK4Bp61kxcaAa6lszcYf8pIr8jfC168P3OLp7uvJRs4aL2HHmR 66Mjrg+2Y6NUlHWLTeHhRjvU7WxJw1qTaFKZqRyu8p3UTaeF7fbuZhHfmAhOK8HqloE+T+6c1fzx y3emv6M8IGWpaxebtsGCH0vIc5en5YcBqrJGmeR39tYLHVsMEvGseYsuTTIZXpowxSKxr2VZL3lL /PltXho/Ix4aaQUsbeEpIUKBuXqveYZrq0F/Z+v+RosveyrYp8beMP0nk+sp1qU9ECO5eZ5yiwUe /OyVeFczTpaGkpRYnnpgonXWnxo9KSRv+0FyiOfVSuFoxcJt70nxRDbd1a4qv4e2loXJmKVSWlDN 4ViubP5R/vkbMVp3zwNZ+kkxQOT1FxJcAaEFdl56IKbFwXkR3Xnq0EcxmEKhF67S25TdJnGZ4p08 eIGtaBsvD/9FPk+vyrTHU24YPSrdx6sCR9oWelOEk4yduU0mmWtF24cp7jqDrKig67WlORRtC8O1 DSjXDgFXtR/esiYVgT7t6MwGErPrTpUU5vr8aSq+aRss0LB15JS/DZIVKdZuhDEF9qQecL0xEeCb GZOyEg9K8Kk2jW4wLkdIaTefnWFdVtUSGnIsGy0aKV6LE8vr2lJ42gj+9ffffhE5EAoeTrIE/+f/ 9X8/CIMwg4uoaaKZUqlpGzaVTGbYqB2sOfcEU+fxB4OLqYLszGgpmD9uf8+A/BQYVP4Oh3R7YXei tnJ+8zZw6u00EQmo2q7taw6zzmi0pPdlezhQ3qXr7yMpLkWp4fcd939meVcVyZw1Ym97wdMKpGTO mbbGe8gg3CNlTxWrK5SAy1DfSKIL3NDW5/LuaaikZVrLo1IwPV3b/EUUgjM2HlaHxXjAy0OSfvJM gTyXcZakcqNdzwY+kr6E/Z1ZrHyfwfZapp16e4sSt4ollDR6vIBPMSZdpxrKIex1iwTHeK6rzE1y 5PzgQ3T7XYyuhrDz6taQTxp0ei7GOVnCNDyOsLLD1oCtGySOCt+IhqusYLlMnWuYl0/DSA3J/p// /H9F3YBctcF4hO3+Np69fIXOVgdbW8qt+pJhwsMZKdTwU9Rozf4++znncOEaLHRNrtvSCAPmR4Jv MGxkaDCPlxldbeXCpQ9UTFAwnJuCZTVfOzzkkPrMyRjuloa7xtNi9rDOz0Sr6vcZX2KgG6mF5JgZ LWvWWsvuYjgYTMnd9x2y7ptGrsFSJxoL2aNCMu22uCa/R9VN5Y5EWNPUFa5+NqGazBnTdV6V9hll g+D4JpXB0r6Ecj0RBFBeItuR3u8hKcbVuo4cRmdbb4yKmQriGg0bw3behH6vG8KaupyGZ3TX70a9 GOlgLAqht8m8Cgvc1ZIAfizeUJiOXhV/h+uCoSF1/NKC3KUMURDgL7+8xcnRE2z3tjCaTLB/cIQf //VfEXRiwQOXQ0BxkyWWt1Ryuf2z6eBJ6DNEbT0sfbHEpLTA1ZTnSI9JsOvRYuGrFkcr10t/V70y 8dZarpTx4vjv0+LyL3SOuCjp9RDLeOzwUJrvtiexfI+Z96Xv4aJneEg10OJ397QeNtRoWdJGbL65 BQ1Mb2tL5lNLmR52fWl0MhxMS53oGTGDxxZjxmiooUrmkiq3fBm9qbZ91/J7nnE6HclY8iBb/gz3 xQy70u45U8rKPR8Nga/hBIeQwFqVT91waqgIws6HfPcZxgXlpqOnZksn6tuzh6JD3utgeDVApxUw mx/GG+I8ewTCCfLf876IS9FYXY1H+HxxJkaYpLznJ8/l/3nNl89eImFfx26MMFL3dvll5O1iKNvG D6awnFyteVXGO+dJ6jKZ8laaiWkQSy+Jc8WwT3/Od9NplVerG+FhAAVbzbWM0eJC0brGWTnQqsLr +w5DO2C2ipmoLx2moQETMaTcqOehfQDXDSolkO80Li6+stGyHtVo1U0pVA3j7XBwjfEQIEbIQ/C+ 3qupUeQeoaCkRhsN6D9xfe/sHE4VQCRCqHR/3Vb+xAODXduTVNt9zQjilWRzWefIXpjrtMHmK10U 7lDOoCRxNnkoJSkya7io+TQvUawovoZ9yxMi3WNaPaxNBjki/B2pe2pr35iBWCZHzg+ygrd2+phc DhC0RsuA6jk3XwuEP2T89vGdTPD/97e/iFbUDy+/Q5HlODk4Fq9qb2sXGZsnBA76Hcr8uivd36Tl l6gXMFt0/LfJWCVUaFS5qTcB5o3RMp6WKjKQHDpC0hBIV66W/DxgiD3L/pnBwwABPSoNIdWzUi34 eSMmYGy8LeDslzYfkVOVGdgv8LR0ozHDbAkhkmn6WbKnlo3C0ES6t6wo2JcyHm8Ho7xC+U0A8XcN Jn5SjIoLue95eRruKyYZuL7u0w+Q88d9JpJNwqPT7+GQgvWqxNn5e2z39xDHbAQxkzzSa2hPT+27 oAqoZtDDoq5eKnWLBPgbOZQJ8t9mB4QmMxe9qUCn2hleZ63Bkoew+WFmjgzTdPGBTXcaBdJnJRnz i4abUC1407rpmwnyqwwJ2tQpN5zxEtYbLVpvX8LDCZwWJOeJQQb7l4zA93F5dYk/fPcjenEXbtvN l+tiwi69EYXJtDr+pqEqxKsiwKkb/6bXpQXo1XSxTYocQRhJc9O7TmmlFJBLoyHdlNGejRcIprP+ haaTtw7+myERGm/NlO4IVyur4c+VAwlJ9VaJoFXj5mlMrhTXyH1T9CarLac4S4I81X4yhp+1pKZQ mM/AFL7O5WLrKA5uegLxk/JS+E+PP+6W577vKOoEo6KW+sNlpQfTD1BD7js8KhM+y3rUtbw8VLK5 wfXgQuY0pkJsazxmXamUMS/F7FJ6syjBzUiDDU3kehu8Z62h1ZvhvqfKqNYZM9O41GtBWkY5PN3V JVsmdmrjUSOwRoPFf1EH0QxtHZ/K5jNpT01vuxiOFIhmTzyeflxcTNOuo1Hw+4Qv0hIkueEYxtzG hOfkNFsNsssx4geoY64aRzv7ONzem22MusawKqTDCzsRrypr4qJgpkqwqtZQrRsGd6FRM+E2QyZR aF0ygquGKSZWEqgpjtZQmjyrONpe5GplPD3nQdNmavjMNQznKzUhZki2vL5HXpvh4WaKketDB5Oi ZzhzF5VGcT9KDXmC28wbfjF8SSL/bn42I0S7cmBoz8WbxF0ardjdRd2cC5Xgn8FolTWbW5xJAsFb 0onneuGz0lAvG2iuSfIsaYhM55q7hqk1HgyutHQo3pqGaJR/StKraWaRBx7/XzrF54pHc2x8IBEn npNB///Ze68nua4kzdNDi9RAQguSxSKLZLGqupvdPdO2tvu0tg9r80/vPMyY7Vr3zE6XpXrF9AAA IABJREFUoiiSIDRAAKlCq7Wf+/F7T9y4oTIjAVTNejeKQGaIK8714+Lz75MEw0mRf6CXsWwS8KYL Zos0Jc6zncpa2PNoIOgoaHQA82HY/VzLT2fKKgzFmmRPgY5EEFb0i3FyAo7IVH3zTAdqqbWoIkwx ibQWOS3lON+dSP+sK9UNFHcNo1VQ4YRBYSITUr/mfi43mJIUdlH9YR7PoqdV0x4+z5k1bQh0dYfr 0BAi0iQa8vQww4llqHibH8yLaqeitYDJie+BCXru5o4DTdvyWUEvpubhinxQWhseFJh3dqacjkZU YeNzzrY844GhPuORXW56WLaa1tvrHm6AU6uP07oilVI9MzQNnnI3KUGwEZH+YYAx161z2VooKM8W a7PZ3NZ15jAHap6d0YnOEJqYsc0T5tWy8++QYUC92abnFyI2L3u4lRtKOWLYivSFPRVNxBnNgxUY FYrR53qIGQuOxjsmF4jXqNZc6BDEJ8DngAGbt8sqzD/gh9xp5SnKxFZr1KQzHku/1VMa44sYxXZq VKU6D3A911FZetPRsQOe03W5x92sQGn0t0QNdG5WNb0eqr6zFdW0TMae+hXXzesBDtQlvYumbc3x KdODfUZKrwzAlM+YHgcygGF281hvqJmowCJzi4QwX1M4KOqH7mztPIf62pQ7a/l3sLaomSnmJ2fE DJyWDUy/vASWh81HWRgYLVgpauMdaVR2p5yWRec16UCRpMImq0VUy9kfAuMGWpgIw5Rrgg8hXWMt 6UieZmk1XW8OHnfsZfZmcV/LZT7HRntc4WmeHmnZ53R8ls+lzvPMW5L9XlcR3BTInGfdLhLRxOz7 HDTmTk07O6FIR1rAAiJNXGTGe56KKxifU2AlmAcs3WrI2XAkg95wLU6r5Dthb+T86ijVWgs275qQ /rKDc15gYtZThp49boPHGOVGduZymWVZGjzSwtkYzgoEeFpgp+PU7Z1M3XNN+7tpGmifsSPtzklw fMx3We3D8XJschc5Z+cOMw4nmgAVLSTH0YAi+1vthYSTi4zP4vP5byVImMUGTovB49bw1SVwwG/e aRV0/GtLKqVG4qy0bgojBkj2UMdbd3JlkTGLitPisxs0s6rmuJwOiewHYC5Dz0baxwZfDnWuVHSG 480W8TEl9gubZp4pgZ/tXghG5F9UugVEUs5hZJ9lWCbvZnkRfjRC1GK2I2igNJxbQK4y4Lmzm7vb zTMb5CXSMtHRdMq8txBY2m11pN8bqgAqR7WoW4iTGtFI4IWVkjR3txPQY15BnaIxfPHGqV5eCzOU jcJih64PFfOY53gw2Z24Tj7rZVHpju6AiuFSlRVzWsqLJEadG4fubFyGik/TQEY2vJjvqHiMzYP7 aZP55zdKAx69+vX20Q5P/84buU6lh4zuBC3ErFWK9UAC+GojCtCXYaVCRY+zVt6SUsE0PfXZRC6N FHAFZtKLGM6m17UOb6EAYYApj1NSaugsK6mgFcmN0baqA/LK7lDfCc060xLFjA9vqK8xeE5Z15LB pqYdV/n09LXs7V0LYxo2xxeb8We31I1ZUZh0wAZo/fegve1nPAAG+Y+jKqeu4YF2r++RyToOy74P /NOZNBqkhzgtq9lkc93pEZ6mjJtQnIxCsX8oY3J6TXmtaaAjNHCRV8tSrTd1cJloKQ8rQrrCTk3d ziAfqz1EqaQaNSaj7DEBUft5XK+pr9FRzTMj02My36OkQEPTb0k/AExjVlJQ09kZTj6D+heLLHV8 lh7m8XXZfTj/uAjm0YCOdgSmB7dNIOStnmq8S/M44CrFRkJNs1mnddEoqyDN8p5US0ZzzL95hkiP Lwo1WcX0Wdbo1pSc6Z4XAoNHb0xDxMbGWEtKLROG4n3WkN97KcKyCChmTHVH2W91XtDmilXZvVSd AY6XWy1mifaCrJZxfttAI+GbzQIpbUTY9R0E5u1lFhhOKjZlfRimqaL/m8Xi9Sx+RtR2fHSkopqa Fq64IxBptUkPA+UvF0m17xYIU+ixV4tSQcDNGmFrp1v+HoqPOlawRl3AH5Q4PLeoM3Xu3EXGFHz4 86KmabQONlvdSTel6pZMxrY4elGBnevYbO5p2hgX0o1M0FJJnxf1NHCWrwsKFAP/XlT/T4n+er1z ASFjHjf/GedhYNi6NBt2zovMIq0DaY3ebNgZrO+0cE7VYlPqinS3549shbSPZ+gyR53iqB9s1RYF 9wjzFr8OGAwbIevAwJ/oCRCJ0aFtaoRlr6VOheLztCqSnZfxvHuKCfZP69VBbUk/odU6TqIsUM84 Kh5Ki4SsTkYU4ahiXwzzdijf0e1GWzTlqaNPZft/+dwuHZzJZC1yQKu5nSW7PywF3Eyl4V3xM87j FOIQdZ3381o/5/hn6rgB8I0pMFfXJkhcZi6H5mwMaZcQ7izbmV3e3kZ07HdxbdAZUGPaZhwf3EnU tbQrFEjWEg3FHAnzdUw7pnA2rei0HF9kupU2pM1C8PXKRoWzAne0msOw+hB0Pag2b7amtZrTMkfV kGppW8qKuSrY/QyjOPqaS3JWej1xUqHrqIPkGokv/j7HYfE8lkKEtL9vFEjukLRGugDHZ1nUiZSp cZUJZphpBPYTcFi0P7e3B4nuPQfGTfc6jbfbV1GDduPEhkM4tqx2haiqHYyB/nyBedt/AG/66tfT PmuCgAGwCAY3TT4IM/6oy7NJ5IBWXTBee/HILFtkX+ez1jVd5MqdxSCwHYfPajGUPpmk8vbW/aML C2toLyfSsmutERXpOLNnfROciNHyPiaEFuFFCvFeOlh0bRwKwkNFmmLUNzY6BTyEnzm+bV3DYRTL V+VMndbwrTkt0j5mB6lXxVagRLHm2lvXuHaGvWso2R9TJOvMHE8mRtL388+v5eTkRF6/fiN3796W 0chUnVb7DO57RzUdaLThlxR6ZQ+ekW9tBxwWNQ3ayXhyHi6PDNZJoRy7geG0vE2N+U7onz2v1bzS iQXaFSsCVxOnlU8qZ99NumHqPOTL69WJFDHeaEirBdo7oOlXjAD89X7+cfrCcWg0QX0gB5V9UaOh AkuDUcsE7qzgtIi0fBjausZGwsgijbFaSk7ItVYqG7tu6SZhXPEzGorUIC5QByJF7rChZUZOVLpe 1w4IfVro0wBkJYELajqLjCgCiiHGt/rDoRI+1jKpfrlYl+3yVWkN31wqnxbFbOXNH9WkzPbNuso0 +ApaNtiS1tg2/E0tk7iOSqRfq9bXhkLY8i7Ii2ev1I+glHXjxjU5PDyQIenfuY5rlGgrKh+WH2Sb WlbTQjetRZydTDkpr7escxJ8ltMuxzWF6QfY0sd1ores6e6PjFXNHpSUJ2qaDwq6EZC+njeDJuch W4f62XL1foIXsjTZ4AzzXq/1Pr4TsY9KJZkCsAZGBPhTDitzEEqJu2EzjqJWlNqZco43LTrO4FBK mU1pbFjEOklTca61ECk7L1ctkMpZgTRmi1CsFzOMF6gD+ViNszyQ7gF29mHn87TttRbZG0iXzjbM AjpxX5b+YCiNXl92mlaDcXO65c7wSPrjTUXwAbeorqoqxWFFJmPD4SH5jh4h6yBvU20GUkSfpDj3 EYRMhwAKhmGu6TpgZ8yi9rI8f/5C1zqOCmWs+/dvy84O9cKL1TOd0mY4Qj8z3GzqVjzglhrAOsnu SAFslJKglSwiWn2B4OzspscFUKa2zQlaAR6Qw6qh4vyTmiSFeEttA4Jad3gzpbxApipgvlRr7/RU dndXpy62dKquNT6ug0mCMxEwG2lZY4JcnZktsFzQuZR1oXG98xaFYoVUBHOSSFdt0jSNJj2sM95i m4TPEOKYtAOr3T+jndG5wiLOH2fkVxKmh7YOmSdpIJJOTRDllh6yI2IGPN0NQ9PnqAMpegbyNqMH prsLzm0dZosZpz0YylG3L+NaWYfZp34PZxpq4Sdnsr+Lrl5pBqc1GY51EHkTRspXHNZkPKTpElhE CtMNHtnentlUC6TMzabRHc9RyV5kqtsABZTWMGvKrnCeFLPd7ku3O5AnT57os7C3tysffHhXdtVR bW7tqmOFIlkpKVBCCUoaTu1gc0E2VuP5Mg86dalFqaFHbJiN5ky37THHaRW9fR/aoxc1FQwFT8RM ZNBFw5zjid3DayIOrcBpEXkVt43AbBVzUKMqFQfkPosmvi46HKqId2Yg7Rx9QXDOHGMqOT5tODV3 aJcRaWEAQI1ffxr5TsEdDJfe/6CqoxFXzdLBeGNh1xMxXi6LlKM0MBnILk7NgS4aXp+ynP3rvE4q ES6BMYPUj6NtGGNEnhUqJekXa3LU6sgukw1R9G9jPFelPWJg+nyRlsVUpH5VKYzLMhk7U4LkNmXY 4HSmtt6Y+T14Ms0cwhyld++9ZprXzfMyDJEbG8G62Y0rMPV6Qw1sjo+fye7ujmxtNWRvb0eFkjfx POdZGcY/0pTJaBwUNeBUtqlv+JAcjOYnbzLh01FWXJ9xjJHDGhyDZa3liUYa8LETfs5eUHjHrfZE GuCoeqwR7QA245h2HvPSHgmpiXOfeyGem643FRYJ7YLY95uCcMr1tcxw5savzq4/krMzHsZolKlg 0/O0gLM7lxWUm9IRowPJ29mMstZ42amZbdqS6xTRBDlLg6KVgSYE2XuMiKtRJ/qDujqkh04FpHAB x3SZY9aIKqhNO+Le2CLOckZ5LoyCWHieZ52eUEEZkbZrAXkFKxWlLxV5fdqSKzvWIZtyWqUr1g0N jKCrmhbRBxV1VI5OXxaIKKle1wrW2ZlbX0ut4LR4LbANshefn/TrELOm2Cgcx7C68RllnR+syL/9 63/T54U/d+/e1OzsImWdVa0MJmcQpINYeGdnJ8k0Nt0i/u0FYsymtFP6jpjuw81/53/UUVUqgf5i lqbGCuGWs6c0IdbO9u8g9MVB6bhKUhw0fp08Q5G2EM01Kd2NUq3arqTSU62IrhcajWPgHUYdvIq5 syU6hUFAB03D7zxdXPRejt1C3fxRk1JID/kVDnzTox1K4hcwVim1clXqRKpdc1rcb0/7jG+/OVMb VIS7YrwayetIOflsnz9M2SK2dS7UBFbl0oyICn1JRrMmUJScJz0ByrPVkDetjhw006kOTJH/5YMg YrIMd2ZVqtKkIZMe3P/nECPOOK1CrOUHPmoLgPD0e0jz2Ej5Oc8Yz4vXqNYznkFqrnU5OW7Js2fP ZH9/XxqNmly9uqfMH2/DWWFlJfAKQqkYunQGZYCzvaqeWAm4QoGcOoQPMWP+9xjBrqdIyodMDwRq OiFeyimkwZ8D6nwaU5INZ/m3FqojR4jh4FhEHulkvkAR3cwB2iAo6eAo2d05Jjs3c4zcEP3MPm3U 9S++AVPX6zh6xwenNC89JB1RJgMK5JEYq88axiwalkLMSn0vOYhQj4pokUkB61a38nTaVJ5TtZ4s dASMjGTSQOPlOpvSUPQxIaUMiWATm7LBcKTSbD1qpayn2noKRTPGs1GvyVGnK3s0aGLpOynKTtA9 VGmuGadVkJKUZTIsS3GMdiOp3/k3nRKNL1UwmihjQuYwZ18fOMM4KsenrYsIo1zU74/k1c9vtPbM vb9yZV8RALu7WxubkVwVgVCmttLrQKJWUNg9IqIsxuPjU3nz5o3cvHldHZZTlGZJ56xFb0PP+ndk nVStJH8OTsUcgj7ZvJvn3FDT7KaGlvddzpwjkVdLdvempZCmcVpH0mweyOPHj9WpXru+nwzPUh9S VL+mh8YT5Ij8TQ6MLjKPtNqT1txIi5+dtc5SLFyQeeL8s6+nk8Yuyr3Mi2jzDQdkqY07LePUx5me aQcxjbRShlNSx3hNAI8g4rCIKqDnG4aex2mBpDc2D+tO6mjJgumEdYwN57TTlQ4jH9DynCOKmWuU Nmo1eX3Slqu7qeahW7O8rxtkb5ymh8z4VQtb0j3rpxvqBgLkom7eAzkbm9rNsoeczOY8Zk2xujx6 9EQnDtjIDw72ZGu7IY36+UfGcptlIZ3lWJdNIWiXEMoUH7bVlqYy/PXl5s2b+kCzu4Kl4aA9Gks+ NIiO8t7mNpJfs7AHdWykecNB8lAu22ncIaayP1Y/8+/2x6RcLOmoyTy2B17344O/yOlp2zp1zbrU 6zz03mnZ0nST49H0czTSzgy0Lm8rzE2wNZmOT1wbJNLiXjibpg9P52oYdpHTKqo0Oee3muK0cbnr d4UUUIkAtVtMpNVKMHqYznxRY8zMDo5GzLZRtPeaoyHr6T62Wm9U+NWxXgapMB6ui3aJO72etAM0 YSNGqj4YyOsXL+TKjRtSos6705Sjdlf2s+mhFJWapjCEQGCk7AnVgjUxKjtDaZPWy+asGGrD0OU4 y8WmjGJ6p9sTmRTl7OyFvHjxQg4O9rXzV62YDP1FLS0DGauEZ1TgEPkdTmtex7LMWIxSvKiqbHhQ FOfRkKdPn2rh7u7dW9KgW1Ktytmpj+wYfomfAQzNo1AmfDWKlOnO4To3ZSYkpoifFBYNx7TsMw8P r2go/+zZSzk9bUm1ekXKZcNG+XxknJZqO7l1Nnei/zIsSQ/bRp+SbWLE5o0P6jRZkj8/fr8mzly6 KmwjTQEbU5GWk/iJuP5hGo1lnZaLk0ylgWEcyNJDE3PFcGw8JDpSdQGn1ajXZNzpyulgpF2+89qw 25Wjn3+WzumJIiF/+PZb+ewf/kGu3/9AN+dhrSqvtabFNarORFqkhTEvFetHwa+BNmdjzmViw+Hc 13WFeWPzoyHde4MeQq2pdS+e2+3tLfn44/tSrfId0xnWeY1yk/LojYxeKotDpDRyNj6TnW0b2s9a mQVF5KQDt9GDQWBDCIgnfPr0uVy5ui97e9uhyD3R/JiIJWvcFGoyHo1d5AY5WDW+IQ7YzCPR87qO 5+v+e/6zt7+t7/kf/+MP+jsQuJORpSMa3YB3Cabv4zzaLWVu3DQWaiGKvtnUgfBlDBB2o8cz18cc /Uj6faOU5X6tu6A90pp2WkRJJ1pwx8HEmobYbKTlrBp2/bzgbgyoxzom5E7LYRH87ryXmrW23ahL v9WW/rjID1Z6n24MjPGcnsij779X2pTD6zdkglL41pb8r//pP00XiCjENynEtwT3ND2hkd/O5zkB dX98cnxuIZSpbGVMBxwps62NOCsI9Gq1ivz+999oVvXzzz/LRx/dk50da6JswpT1JWzG6XOZj0Mk eDg9I+WdxsHpsaqiTVQsj96qnSnfFRqh4LssvfCu10WdlZ+QIpvDKAsREZ+os4dBEQVz6EW3Q63N Lo6mqFvTYLhGsyZffPGZvHz5Sn9+48ahPpzaCt7aVpFPA7sW0q7p6ekMkdxlmtYOEGZdslA8LcyL AC3qMigJDyD/XgfNb9fXOl8xABQnQ4TknUUfhFaHoywNDLHHxwhbhI0DOVGkM5nSgWRGzM0hFavo UOYZy5eCu3bg5vC6dRGkaDTlzfNnsn94TdrHx/LoL99pM4c65sG1a7J37brsHx5KmVGpbleeP3ig a+DDL36tP7MLJDJmY+n0hOopjaVVrumu0xavCfS00gCxG0pSNdmq0RC7WDMBDjfgCe12V46OXig8 4auv/l7evDmSr776Sp8pkWlhmXWNu6B0TmEUDlvlvN1pOW/ZVC0bnmyecnYBlZVXWR1qPPbQ3LtX lK+//lo6na5UQ6F04UEy47VB8rCEmkaxPsz+Ga6Jz1eq3K7hgOxE7Wecj/IdVQAypp01Dml3r6lF +vFoIt988xc5ONiVnV1LL3FMpILupC31oqZ19tacllGGzB80z7ISLDLfiGz4fL1ZTdVyVKVunIw5 rYS9NBTRiZhcrMJUghl4NqfvxsLjZ+bgLCrj87LMFVPCF92ztR8Umiav2h2Rho0JxTbodKT1+rV8 88d/l19/9c9axvjj//N/6zrY2tuT6/fuG1QGapRGU54EJ9Y6tah7a2dH61mJw9KLYd3DN52e7A6H K9WSbA61qWm6d9WXmTOkVGvUXvO1LtcxrUOWanJ8hBJOR3744Ue5du1QtraA/vRkf38rbHAI6Fo9 8iIRld3n9VNJL3swPI2P8rVeBsxnBG7pA+LsoRQQjZOZ+g471/IIUd2Vc9JswJListKi2HyXRVN2 MaYK1OF72WXZaHFmvJYaQuxsCoWRfPPNt5oKjscGdgQXpKKUYUH5vKEj2S9aFF5m8Tn5OcZOKy7A r1pXs0DDRqDOa0RazIJZpOW8WUQKJ9IjhWsYe4ODS2Oke3oco4jpwQru2ZqnmxX6g3hujlObZ9DG 7FUrcjwYMhQ39btKvS4vnj+TL377d/Li8WO5/9ln8vlXX+mm3CdN6ffl6OeX8ur5c/nin/5ZazgA lr/43T9IkSI+tZVeTx7++U/S2NqWw7t3bX3Dntusa6Q16XSl2Vg+tK4agkTzOK0FkZY7Kq4XGD+e 0cJFmFa1YVKVo6MzOT5+KS9ePJfr16/L7/7uS6tPJYIfzuzBd+KgjfQx5q1axdIm2fnorP0zyADp kFPT0pljwyfRAQyUpCrfZQ6LXhwYDC7e6emZ7O7BHb3YFMleq+vDdxFogI8PKEFg0E7zAr7RwRqC 3gY3nXY5qNREEd5oOEgK6O60+IxPP/2FPH78TJ4/f667Y6NZ0RSGUJt/K94lzGtddLEsM+346CB2 mgbrsXsqHA2Jr3ocxmdkkVouTm1V0/SQ7g2RkdU0qGG5ag4yYNDMxNL22nHsTUdJxl8GKDnlzpo6 1pHRG2EmnhFUeeaoNeUZjSEtvPdxWpFTLxTk5r37UiyX5Ma9expt0UEFN0aBXe8vArlffKH34rOv /lEGnbZ2CMcAjFF7Oj6S/auHGm1lhVSkXpWTwVAGZ2ey01wOJbEGS1MhKFn4TkyMiZR7omR9TisW S2FMzQbR9/ZKCvz88MP7WqNSRpWMM3J9B+6V3xNwc+ts2gbXYb3gQ9L53XX5uNJm20B9SxlGSh4W KvcmWBhGaRKgmmhIdufOHSkWkexZTboJRkEHeq5jJlDBwLVNjhvBnVESe2hJikNYz795nUrFR3Un TtSjEMWtDAYaNcV0I8VSQW7fuSEPf3qqg5ucX62Gi7bup9XH3k6x3Ud64muVdgJTzrBVzec/wZll UdHnsTQ9ZJ7NygJKmog+Yfs4FOl9EFrnvaRYtChs2mkxDmQp47T4AIuaaLiXEc8I+odLRFvjFdms 16TQ7clRbyDFCDS6e3iojuvN8+fy7IfvtVzAGrr78S/D76xu8vrpExlQu3ryWNfWwdWrcnDjptz6 +JfmpPJVVjSqaw+LMjptycHu8vIBEQ/3Zjw2fJ3V9YwNhWJzZQ0G3nlmNEDx5xCIDOSjj3iWl9VI oS+2pok5LQbez9aaEfTOd7HY1VLHqufD8+0jRPyhHIVzx8pv3ry2Wx7BDhwTIZWKXL16TXZ39+XV q1dy/bq1bVc5UL6Iotkq5tQrWkurVGRbmQSmdymTuzfT1jGiD2UI+MECGVo/TQ+dktiiEhZGHkUH qdKdu7fkwY+P5MGDB/LrX/9ahsN2oEJJL67rLlL4xBlvGlQ6bxNwyMWqloxJcQ0b7J5Ehps5RsVL DftS6Dl/u6XegEHZjc0RGeWMpQOpLmK2HsXCj2loHPZgqHjjNkuEL/TzW+H+pzUJLUHnyNDpQ0Kk 1e5Ii4XvuKxwIcBUFWUi2/s2VsNPXzx8KOPBUJ49+kn2Dq5IuVaTX3z+a9k9OFAYDcX3lz89kFu/ +Hghs1ehXJLepCJvzlqy13TpqsUXlShKh5snI20S5c2ermNF1RioJMPsscYfIF2u26rRDvfIOP1t dIstRjenNdNDzokgZN40R7bk0WgyeF+xdDDUEf19ZRj9bKTDBSJSmLxRwfTl5KQTCOv2Vw46TG/M CubzDjKmea0F0QW7mNOvt5/wv+FCcXKjkZKu+ck6C6MuwkhUc3vHct95VixMlGAMdsSHD3+SK1eu SKWafhfRGeltQj5ITWzLhsM3ZUQkvYKB5uYBQhdZHFUyP5YH+dic07JI3JHqDlcw5RPD1pAypvUo ZgqnWRqUGDAMTccRmw1Ho8rD0LTxdBnwdEvTUkPFO+NHUcqVhg5f5xV1txp1EcVlDaUQgUm5f29e /qzR1fGrV/Lzs6fqpK5cuy71vS817SMN5OcvnzzWQvfrly/l6vXryTpbeI0qZekRybXa6rRW6eZR drioFZTeHOYFY1x1R2Uc6aS15+v2mf6ocag5/m5dzJxtIk3pFizSykq3eYQJFhS8pLHFWkSfNSXw Y+4PIFdSLyiM9Gc6RxV2MbAZ+we7srdnxddVDrJWb0j/5ESLth65JYR247HWurQgHqHmcz9LFXn0 b8ln+2fpGlLKlmaCooflwFHx2VQwa9C/0imko/Hzz8AdSnLr1g0ZBoyWMU2k58QiODtraZq8qa6h KQpVNTX3c1vV4Ti4ltA77ohepukIznhat9DxWFlTR9TY0SHocaYepTv+ZKROLXV+jAOd6B/DcJnT IoX0BxDT+lxJpNmga3k2E/lzXOq02m2taRVCTYtaFev85eMnsn/1qvzq77/Sovyzn36S/b1d+fa/ /Td1WNVmXSOD+taW/O5Xn+l4zspaAeWSDAs1OWl3ZH97eTf3olYpM/NrUSmmgix9HPzq+gbLKbY9 PSTFRJswxS2uYp51WbRnz6mP9lG6wKH5mE6eMzTygiHAUSvkVqplKY1LSbdA1VwCHgKum6tXr+aK Ty4ylRff3U3GRfTA3blQUA6pp4f2OLC8HUnR3koeaBGZqnaE43YVYlqxhYARc2koR85yERbVcrjB d+7eVDAsbVSO5e6928oprV2d7W27kKEmx4Ln36vMcq1iHCNdKc7dotrFijzTTt8YK97W7KMZG9kg 2XmXXYNYHiw7rM3uz8Pgozy81qMyF77wiCHBcOmgdVAE7xvAFUeWjSJ47TbDv+2OtBncZY0UCvLx 7/5uqpPd73Rk3O9rDam5vSXbe/tS296S5s6uPvBrPfQ8P4OhlHB65fN3l5df00I/kruYAAAgAElE QVTCROIdfs5/NOxp6j6v7nfe1erpobPVslm5Ss465sP+HlXxbMHJxXU6PT1JJMCmvzvoP/Cce0FX dfr8pMI7TD68q8RcJtkzkObWeoOPfD5OSVUzQn2FB5P6FulfzHMOeM/pkkHeewTjXZXs8c0zjQ7D 4vUJd6upzI9AuCjXr1/RuUTa2n/57gf54IO7Mh4b3IFCKD/HCF2dtncTplMDlUoQqXXtwuVptDcZ 3hYSP2vQikx640T7MPm56tD1p4RBvIiu6uJTkRbYOaOM9ogtqWl1z5SHHgFXfyi9NqP6mcHhGUsE 6WF+qgICvtDpyQndKoc8RMdbbTTk+ocfKg5r99q1hIV0bVfDWm53pV6E2sXSwfPcm0XvKYQ5ThP6 sOjTAoxuoliTff2mzNJDNhEDDdvkAkyy4zUjrRSLhm/g+WTzJxMy2vLZ9xipZd9EKOxgHM6AN6MW NFZpHR4kvCiRB1HMwRVTbl1wVsmMHuYdOp9xUz2yQJFhm5wVxhMBzTGenMgGkdS0/b3OjVelnn6K cdE0UT8Tmpn5DpfX3bx5KJ3OQPb2DvQCdTs9RchzPLu7sA2kjoPPJBoipL3IzKF3U5xwjagpK7qg 3+kA2ZhrLHCFZRHBy0w7r6fHUgJLhPhBpbqm+IXV+TRC6qWcV47H4uExhlF06pqZ8ZzTmZ0ZpwXs wZyWR1pACKx5En+vsUVAcGggXy1bDLpBKHZ217f0sCaTVlsL8XkD0pWVBsTnGNRE/YGU+j3ZbjYu uJnNKYuEbKKmkmypvp8pLHujaNEnbMYsWwrc/yg9azQ8ez8XmQKNa7UpllTA2dSbnaveGyL+nc4E U1ZsE0tW5YMsUvbRjoKDNQsVBZk5c+i8E+EhA2LAgaiSSd06au4I3VPqLGJOCpMABaOOwXmMGxvD BOxmS+haLhGdKDD4XZOTkyN58OCh1GpV+eUvf6HRhJvyVwVJcD6bi03hdF0FnqmvVWLBrfQBrgZ6 6jAkOo5SZhVIxQE7Gj/U6nh/nlJ1nvGeSmEklUAr1O4gFW61tHOpTGt6aCmyodmBJ7SCfP0kw5Nl xXWNjqLz57ziz3Ggap6ZLLqrVVvHkPeSIuH8VJcwc313uD6djpzNcVprG7zocLJB5VMuSX2PGs+q uof5ln2nYQst9SsFgG4SUVFMX5VyesPGTKmWJFBpDlqW8f1cZpSXlHW3Y6NxhvWkbtnUNJH17WIt 1LB1JrZaMV1CLny5YjUTL+Km2JC+NBtGOwNeqdmsasShTAzDQUKiR9eFCIE0z9WMvUWLaEAey6IP cmp3ScF4tLG3ZfuCrV3XPYyN4wEk12lb9LYoIsJBlCtEPQ0tsL94AaTjIKL2LWiBP6W+wRnCXsqC 3Uz30Ij48muGlsYXw3ca9IHjOWWMYdcL1fNNd7TTtmxXQupP3axvPGDnHVFDHHOk6dveVFrHGI9L hZkTS0d8ZtNDi7REjNFhWZSitM2NPU0bbdIBiMv8SIunn0I8kdZpnB6ew6AUlxbXsCiNrebaklhz P9edlqoqsQbqU5vIAMXuXopJfHeG06TTO9J7aRMOZ+H+rXYd2OBx8AjB6LUrSJItKPEnIPSAt/Q1 XXbGTnZZjWp0+NYUXmjdO7weYCkDkji0k+O4vWxzexgDjiZdbzL0TjgH3YYViaexMzg5dj1amNwg algc96ICstV4eN18jJKmnwsuFBdlGX87FxJ2Chw26TCUsEzII+PutTA6MR5R8J3wwnOxLzqYuorx HTQvaGYoAW/YpVpnrZmh76lOC02OflsK46GMJkRnVnrZhmH07DQR6zjPw5eO4Hh6yM64q6mbouUD mDGmS0YCzOtybkBtJhPXSUzXAg8Iv1NF4ABSNThEQMWHtcX38T1aS8s4RI20trfUaXVCIX4tw1H1 +1IdjQK32mY1JA2SY53po6OWPHz4Z531u337lown0wyzmzTWBteK55YyUB6vXZ4Z/1krRFpsMqsz yVqDKfDbaQpo61j56UIJiQiM6IqAilnVsiLby2jYWzrib+bAh4rhwIM2o995Tmn5pxft3Wl5hKEp U3BMRFp8saeCSf0l5KaK12JEQdMCYyHIXiyiNqI6zdXDgDXHnOfc3IHkmRb6AaSdLee72tpuat58 9OZUvv32W/n000/MGQenpWNCIZrU49W2bDs4w8vv2mm3NKj+OEiW+wJVDoDE+BoMen0Z9tqWBpYm Uq6Z/h1G5FkuFgQaqU63Ld2JKfssXrD5WwLdQ58b9F0RdR4+KYm0lAPLwaXm0BihSiwU03FC/D4B DZaBNhg7KpuWjwqZlFgo6AenRYRVDbQ1eaIX6A4WOl05iyAPy9O/nlTA4VUrUlcs3mbvMQ9kqVST P//5Gy3B/PDDD3Lnzi3ZP9hR+p7CJTVXnFHUI1L+riNqTRPTXWZsDDYFwWbdXIlJNks3Y7UsGwl0 SBJ/594qwqBb0OdKIywnA3MdvRgHhAcslwdaj4JmuF6vyo0bV1XinC90pQ53RInCs8W11sXS31vt KnPUNjcVak7p3Ny0JbCIKM3DsQEFgFEzzywFnYMgp2Op4rGtkELl3xSQ8NvbDa334Oh2dnb1+oAp AtUNruQs1Jl4UPgYdoO3RUWDed3MMVxxPWB31/BNnbOWDLpt2W4E3Tt9OPLPuVkROW1bMVsXbO61 WZyO4NDhvMLZGIGf17TMafGJ/m+HPHTGFG6noweDj0BxTZppXVFljigwymPiHE5/w/fwunb7RL+f 4weciiNT4j1NVTKQBxDxpy1pQx22oKYFNxbdv2ZxIts7bHKbjaCtDsoDXpKHD7/Tjejo6I18/vkn UqlapHoZNoZi/Mycfxb71+tZ02eeyEvW2GDQpISh1pssqrw0x+y7XJzXAhejhTKhGZ2BjFJhhT2c nbryc9rlzT5sJnZqXvDg4EA9f6E41ko+Q8lMsnsr3qllPM00kYl2onKTF81Y3SSV/PIdMr54ihOr VKcGqi0VHUi9kc/iaLzws522+DPtwTZ5r0VOZndvW3Fo9r0lfcCICjCiNM6Tr+Gc3y4eKnVahpPp KFbFdqixnNHZhUOpMJZStSDt7lgaVZza/AdgOBrLVo0OXFulsWad1mTlh8Fb4CmOyuYEPdLyQrzX u7KFeP02PS8itq2UU0sjNmA2SMI51MGK9DbiY5/DkbK5mMZiVfFJsfGePeb+GOMZjlQCbOq7KVH0 B5b+NWy2dZNRDhRHZ2dt2dnZk9evj3U9wo4L0Prq4ZVLq1MNR6hSgTuz5yPvnHjuibyIetiYV9mE JxNrmnBfnZRROdLmNplMrNlxhxZhmXxf9pg0uwMWNY8X3IGJVqUvydHRcfIgkEKQRmqtwb2lRkiB 85nclKnp0IIfQXimdYp8htL4onmNKntcmlZGOmveVTK21NmuH1HdPEpa71pqTW3YE5qHy2ABOpJS sIdFU5AatTfLtd8WwnyROW6NqJHzKlIM5T6FUypMCtKGKmhSigh8Uzs6OZVufyCPHj+Veq0mv/7s l9LptwWsNKl3vCOuakQ6BlWwSAvz3ddZTWcK8TibjGNRIsAOSOud6HMaej96XT6HblWaZqJczXgP jQBs0O9q+mgjTLM1II20gDywhkOkNe72pAw+qF7bePqnbf0KJYWi/PjjY3VWOAgks5pbjq+6uBJ6 r8d5T9fY2NT6bOQrQIWUOAAdhtYol/0zz9JUHqYJQ8XP49RyFALH2YVHPiLPnHc85fThhc7FqvEK P1BBipTa5LPPfiVd5L2DvDVAzsGgrF1CzTuTGzr7ZeTBWTSEz2X596v2meass/zwyclBgQtRvX6A 5bfz8B8Uzbtx5Dd1AB5loJdYXhmxTjEREU12DxswbYYHb/7iiulCLhvgyXUrFYpSLfalpvOQlkUP R8izj2VHJc/stXRnu72+vHj5Sk5bbXnx889SKZXlg/v3ZKtp/P6kh2edtnQmBWlsnS+64J56TcvT Q+fWspm0FMFu6eGW3rc40lK0+WSk3UCK+OADMUgDOSLtmnHe2WHqLqKtRpnEvYMGh5Qxb/fe3WrK 5LQl+th0e7JVKkhz1+hdNmUO6xgOxvLtjz/IjRs35IsvvpBHj5hh3VVYyUVtTGNl0JdecAA4KG3C FChmUzZYD9NYTPRKU06q5ccAaaNh6ozpYWuF+cPFfPeeNpb7EQc6hhc1muGRDCLyLTqA33zzjaaF h4fGpjAc2EM/7ySSSC1EOlNy9aWifpcKWQT0+7LBX3YLZ610AYr5pncmmTfMS0fdUeqrV7yJLi7K jWAHMbaI2Vw9QfHCp6QIf4jvlo+xnMes+9eVcb+r/OS1ml0XHNVgONF61Vbd7uuroxONkr//8Ufr Dm5vyd7ujty8fiiVcklnut4cHekuXFXmjKJ0Bm3ptCY6tnKu46N7qODSOEKyqNTUp22YOpseZlM4 rWV2svTMVnhXlHtQoPZNlzSy1ytodGxl1fklZE0PdxiyHkphp7zC+lrd+NYSKWl/KGenbXn06JHW F2lQ9ActuXb94MLfMWa99XtKfew1KW/EEHUvakSt6rSoi9KMmeaxX46Kt6FpNqj8OUF8AM5IdSAy x5hmela2Khs5nsluWZvRoAlYnKaRfhFV/fDD97K984W2dIE/jDvTsvXOHKA4JR2xMUlsPpe8WYvE pHMB9tAdwzlu8Akl5gMJP6QDVJ0JZ7NIdZ+7M4ClaQt6amd/mI00TqnZCxqQ/ZETXVktudeSZpEF YDQeyucUdUVwVAo3CMeu2LR+X05HIy3cb9Jp6WT72YnUS2Pr8g1F+kPQ31ZPbGjRVmQ4nsj/+/s/ ao3qYH9fWu2OfP6rT+TG4RVptbsyGI3kybMX8ub4WG5cvy5Pn7+Uv//NF3pu9UpB2r22nE2s6Hwe 4yGaHrMxAQudQmDMhhlTCuQhErFU8WzGaZnWpA1GT3HK01xgTITjTQCs5vwKfTjRXFtzvln0t7mI yuq2FRmPivL1n7/TiOr77/8iH3xwX0VIqVU5Q8pFrNfrKbtuDJR28xTrooy57kicMmoVp+WRlrEa G5aTemR2Uobjw7d44T0Nkmie4F+4JxbM6GgOOy4Wz7FlTxCHQ63mgw8+TIag3VH5FyX1KHUsnBDq y3hNi+K0dtFDWDI4yWLgmtICoMEi9P2EsoEPWo8pwPIVmxEiNn7m2C7wUXocYUzF2RmM4CH/Zmmd R0VfpzFLXCRF/5PGqTp0niAsXUtDZOOMlUlAmVDDwxVR9Lg5O6oD487jtFqnLSlOBsocwMOnDBv9 rjQqqc5jo1aUdg/oB6lBV16/bmth999//wf56h//Qes1FOY/+fA/CtE1Ue633/8ovT6R4Ehn4K7s 78kHd28lqS6fTCG+3e9I+4z08LykgAEjxXULaZ05G+ot7YR7Ke0I5jstLaaHSMsZMV3EAufXExua dgdFqsib3Ikt5nTz310ErW61NPbJ05OudtepAbHM/u7vvtSIM3ll4QK4qcFAev3eUqJMhwk4/fZF jHWM0+I5aQTK8sUGxMSG23X+ELm3nnUmp8268C6q6qLJ+BxNZUOjqOxgTs1to9SQhwFH4BfCEK11 +ctf/iLValmu6EyhpVREEHn0vezmhpgvJbisrOBpwsUe3TxPHx3jpC3qXm8qrUtb+DHPkjnA1HHS WcgnojfHaKNC8XGns4604BngzUfFK6q6304eMICKTvWrznpiIzyzumvDRNRi3Yd+2OvKTt1bwSLl gmgnj2iKRsib4zN59vyF7OzuyHff/UX29vfl8ZMncu/OHfnf/pf/KPv7e3ouFNZ/evJUFYT/4be/ lru3b2oqBGUODnV/lwLr7EIkWusNOtImPdQxoML5qErU2ezkynwRvVLHip1WodCeimDjSJd3utPi v46g5/5YCuqfAxW4RW/Uw+JPyre8ny8/X52/LVfl4cMnmuIA/bl584bUajC01iJndYFietc6ax6p rHIfdO3RCZXNOC3b1GnILIfxGImCOS2ujQGGbc40a0ZBY3gsL/80GgHWREpIYd2JuWIrFj1qsiiG NyM+cPv2bRmNLOWw5iDePR/D4peRoVon5yPCAiEemzm+UHgPOau+f0kRzoGnQadH4fwxtazFapaS zUIl7NizxnmOiiPtjiwruOKcSENAWuuwLqMoYdyE4U4tOAM1iFJmrjfRKqh4IsFVH3qj1+BcUzEQ fP9wPJZmrZw6ehH56dFjOTy8Jrs7W+q0P/7oQ+USevHqjY4aPXvxQu4hpBAk3g6vHshPj57Kdz/8 KM+eP5d/+aev5MqeRakenfpx1srAIzrSmgCsPZ/TmkyldeWpgeZ250SPK+XIMuyVF86zn8PrSTNj p8V7+TnRHOmI13OUpbZSW9ooWXDkC4eTB/2xtHptef36sUJlTk6O5ZNPPpJi0WO686dlXnRutyx9 Ps91J7OJN/SLGBE96/j07ER2d2wca5Gl9NgWFds86SxnP2vAHpf0maGs5F1P02zPfLAXqs3L8Ubr FJIra3uzVAogr7KmTVOdRpf5Cp6YmgDRkclzmUAEZsV4E5rQ7wmfQ27slDT6e43KiuAvrPgXLjYR ACdnx2M1sJmLGmS65pkNzU7X4EgBVx5inhrYtWIvsAdnKaAGh7EjZiMtW3w2RrPK4tFzRoFZHQjz NCalbswN9prdnaacnDbkxrWrsrezI6dMwG9vyXff/6hO6pNf/EJT788//aWORJ0RaovIt9//JG+O j1Tz7t6d2/pZbEqMSj198VIj3Y8/vC/tngFogUr0ux3pMLlQqUm1tgaNSvLM2gL2tDpxNgHaQMqX juYULOqKMFzxddE0c5KKW5B64MRctNU7lHGxX7tWG3BaJlrLSIuNmTDGxTUvlSbyyacfJs/D3E9b QWCKe0Y0PLqAAk127V2kCO/m4zMU4ymtrDJHa7gsanvoJmytPDRNdsefstN3KFyBv/tsXJjV8xoX og1XDq4mN77VepMINsSSW9OKy4V0yHlodSyPivz1FQV4DpIZPH+PszqYzbahVzFNCUPtYt6u4iIP 5zU+k9Y5hV2clgNLEfewCx26WF2jt3HD4a4TaSk3fWBzcGZGKHTqpfRxwHndv3NLnr18Lf/Xf/mv CaiVbt9vvvhc9ne2pXDjmjx/+bP8+etvNWX/7Re/kts3rsn164dSK5e0rocg7Xc/PtBa2YMHP8nO 9rbcuXVDBqOS7NcDCJRRlUlfjk/6sr17PrZTY7I0nFacHnItOnDB987U8ThJtqHcZxHUtvtat9H5 t5xkDodlUbA7LSv243ipQ57PaQVG3WpDzgYd+eH77+XWrVvy448/akS1s0vtLQulmWcpzdKiERbb oAuyCXOnddG1j/mzRSmBGtQyJ2gKXRmmh0FbhivOHyoOyzEQOJ/sRfEdgEU82mUMJ/BWTSaqF0a3 z1Hsc1HlkP/BjY6wRR7iPTqG+EJcdCRh0XhO7Ew3YUAbeAiMWM34ybVrRdRISDuebdtqZ5Salirc Lo+0tCs6GIS5TIbHy9JFjWw41lTN7cbhgTzc3ZVPPv5YtrcaWmt49eZIjk9P5Q9//laxVqSS165e 0WPd3rbxi6+/+0GdGOn7g4eP5Nrhofzj3/9OHSHn0GtRmA8RASk1ZQHql2tHV6mxgREhEUF514/d t1G3rh+4KepS7mxwEqyXvi7wyXRNq2sdrNRpUcY40O6kOi06lD71X4YC2Yr96zgt28zhiCvI06cv Vdr9zp3b0ut15MvffB5GnjaHUFdgcq2uUVZhg93l2GmtIx+3yGkdH79R1P6ySMvpcTRgIUJn/jDo Ryyzcm5BOer48V9PAYkIPOw2BlHLh2O+q9wT8s8MXQp7PSmh/Q7WhjzPrAPYYQjSAIYpwf4qRrQQ E4Hl2aYclqG32fndaZW1EE96Y6DXgPDu9aalt+H/HhrJ4SKcFlEoizYrvonT6kEJFDktfv/V775M HMmj5y/l5avXKt559/Yt2W7U5H/55680uuUe/Ombvyif+Qf37sof/vy1XD3Yl9/9+nO5crCv2CwM qMRQitIeQVNb1JQUnBcinOvck9gmU5GWCU+kTiukh1qIx6FFTisU5S2ti2+CRVqsL+eY51o3lVM+ pIeBLXMKw6VOazH/GunoUNO+sbx+/VRarbZuMqenR3L1cE9Go/Nh1JJrseD5UULHoXWuN+20vGa8 CafF/XFetuUiLTbrybPNvbJJBYOfLDL9VNO/swK7FqnV86UFZ5wFVMGxB9TidOKdSzPFwVhPT/8e IrDk75OiFJSUzoCjTvTHA6n4LmUeTdGxOC4e7HUK1RruRoo6WadoXcXQvdzQQqCgq4hz5TJCGski BXdaOAiaDtn0kM7k2Xice346ZL5gLpLr1e3jTsZSCU4rjnoOr+zrlAApIREAEe+jJy/k2YuX8vzF cw3lgTWQGoK90nsaf39vLP1JUbZ3thLHG0cRS6/dCgEH3TPDae1NRVrNZklabSKkE9lq7idRt2G4 xKKqeJBWa2OW6rFh6LVArZpCfPs4qBrvJU5WozE2ElLQOQdK5288LsqrVy91/dK4gAzg1q2rejib onyZtw5dLfro6I1uMps0CyBctPdidS0PcHw+d/mQuEVa5rS2VhqaLnt/DjY/nJDmmL3UMSnyN+CK cBhZGa8EKxUAo7yWyIbCtYM6k2K7F+dDlMAfcl9tZQbVHo7FFGlMtFIBodoJtBSEY1hViVkvYPLw znn9kujwPEZU4G17beNWmwkannO11G46PdQQXRWg28nAsd58FcVY3oouV8vS7g+lwVxdlB76YCn1 qf5gKA8ePpZWwLhxLP/0D38nB8Adwuc7nIHrBkoeICqFdRSNp7umK6Y+c14yJ1HXSIjIyp0Wzob0 miir1T7SjmzqbAyqMBtpeXE3jO8E/BVsDiocHArxSaRVrsmkSpqZIrEVSwWBXKWus348hC9evJAr V/bll7/8QArFtLP9Noz7v7OzE7QQNssGEhDkG8Fq+XNEmYOMIb/THiTzRoxtdaVU6kizaSpMns6b I5tdJWWb8zPE93Bs2nI4BReI0Pk+MDEB82QwBo+q0jqQjfcQRaVjAqYAnIXaT3cUeY1+9zCMsJQr 2hEZj3sygmBtikMLGpW2RmVWzF41ysoXK1UYwJxh64uY7fI4LdIYA5aScvT7lreDXUHIlvOMmRMM 39KXSXuSgEuRX3eu92WG0+rqBgPqvSBHx6fyw08PpViqaErB4qAWdQdcULWiRHbVHFoVICvt/kQm pbJs7Wwpodta12ctJ5UDecDh10y1WM+LNrgYZGS6gJ4yNXhUFZvPr1Efw2xW0ZyffQ6OsZp0D6nH 9bot23DDvCjvQasSmbuPfnFP6ZXMWcVntTmntWjzrCjv/nimgbPputYmnJY3hljrWdpta5LAwWWi K6TawJ329kzyzQR2nY1jOlUvZ1WfDcNpaQN4GA9Bp9gbwgClUbhYXj0N6nRwnt1MuwhxCmFSPgxY EzoqeRhzhAEwpg9tcGrGkZ0FofWXOiy/8R65zL2wzt+1YVMMVq8VMFoUi5ElN9EAc0QATWEmmG5V s1C4mZh2TuHGn9D0mAahzrNSpSxnvYHsVCeyt7crX3/7rdy//4Fi1D79+CMttFvcOWuTUKvqDIku SppqUl+8SPR5LuCAOq2WNBumYuxOa4sIqXOiqSPpoSPZfVc2JZ3pz4KltBAJvypvVkgPgU4QdTlt DZFWeWv6fG0D78jdezd0lGb+Wb6dSKter1ttV3noNv+dBjBNSfU2kx7uTEGF+FlaN9NX62tfv/5Z ndb29pVo/hButvRzAx9Wqr6qOJuJDYlCk+rmDsuiEYt4WNDs3I5Md7I+UjAmz1MUfcrB5HqCrgpz emI8QI4Liee9PFrD3KlMcsjn0mNzoOtYU0yleg1spnmPjqeMF+EyX2RaTO6dSq1q842uzQcDpkda 7RYkiAb5cKOTRVperRp41fmusiDUeQYuqj0YaHr4f/4f/7ts6/iR/zb/oRvA6EDtXgd1bQyKB8NG ieaJW2TSwvy/ntMmIT2kgGuLHceiUIUu6eGxRlpZtDxspNld2QCnARYRIBKufYjjSlkF0pTGRVs9 NVn+7G7OaS0rUWwh0tBuh67z5p2WK7ZflGHEAxmV9NLJA9tYWE/GNppmNh5cnJ4aP//OzoHek0Jh Wv9QZwm9Q+BvzgYkVkQnpTHwmn2QYbW8i4jhKJpMc4ehZZ8TdACopZ7QLxv2Kz5Yc5qh8B8YS/l8 1ewDGKqzhC5vVUwAmdw0+xCHR0St01Ck9wWQG+pG6ekm61jptYOzywVHmbFsyliVXoyX3mSN4ME2 p6W7G52tpgkb+PUxECrYISPpW2ZFFspgqEKiy9Z0uz+WwaQotUZDtqo17Sb6feV4DHYxb5QoOC37 /42aIdktdfP00EGhGiF1T8Mwtde0gOVYpBWnh/ydGiLrkM/imJ8+faa/29+H18znEtOJD0tVYHmY rDFiuFmn5V+Yd9nr1H1VOPXiYNI8s+512ji7iLGu2Wwp/ZAZscmwntgM46kW/4PT4rnZ2zsMNE4A TO216rD8YbYWvy1AV082qDygSKtZOQzA3udK0fwkdPP0AgberFAwnz4g272yRhfQmB3MGY7CxVrE LW4KP5kFlTF/r1MHz3QKC/m0zJs0jagCiZwT1RlGyyJLaJ7HimkbJfW5bCSlXUZ45EN9cFl6qDtW pSLHnb5sVw25zlu0S8hmUOReipz1xlKq1WQ7KqrTNQS9rE5LsWLLYBdEqpfDjokZ5MHWGxvU06dP dT5vMmFW70i7filavqb4KtLx7KIAnPj8+EQePXqmUevh4WF4GEDWI9UGZMMH+2EaMZLGqZJB9jQL mx+eXgVYWghaltaUuYzN1ks+g40oAqnTQmwmgKm988k6yx2wDoKqe/vmtFzPshzfC5/qNmK8cc6B Gs1MekJW5/CCO7s/qVh/bMVl/8x5FyQm11NAH2RzwVEqkT1UN2XjzMq9CCtV+UgAACAASURBVEow mI+j8kaCpbpghXBws47JoxpFhF+wXrPI0Ofjow1lbWh4HQANToub57boGHDgGjH0+ytFWly/095A tqpIm3PNRU7aiJuWZEK7f5d28rSsGt+/zQ5IpBVGl6grthh6zrBbLAO5shGBtPfRK37ma2ZVc6jC ixdvQgOiIM+ePZd79+5oupAW0CO6GS3EZ5yNPixV+fTTX8iDB4/k+++/D42Iqhwc7AYqlDTSUgBr w4ay525qcx3Y5ovxWBZcjfioSr9fUqRlOpgXB5diOnIXtAZ9HRlDw6wkm1HR0DR5Kbu7VzV6ZiKi 7EWv+KDigzMMlukH8kVbWh+wm0FHL37QFNioD2D+AXtNK6lZqa6cPcAsnBmsEQ4siLLmmaeScQ0t e2PTPHkOxiZwCDNUOhzWp8RMN23WJSwGxlKoa5pJoXjVxeA7q87VLYi0nCvMwu+mlEfdFIWNTmSt vtD5OPXO2SmCG0RapQRlv4yIUDF0YRHyurbSZQdGWTbF9siI4EJNYxXjvTCEgH/64YcHcnR0pKnq Rx99JIUiFMonsrVFIT6khzidgKJPL55FlsxifvjhHXn50tJculiTSUkq5brej0ZU7CfitxEfi2SW 2pSf2nwxfpKJpnRkq9HU9GrTwFI327AoBV08PXTwNL7AtRR45jh+r6O7KflgKE/s71/TUpQW3f1F Dt503JOHo/BfwbhAKEfI7OM6MWDUzVHpWYS5y3mpyKnOfNX0gP27VS0Dbh/FW1G8Z1QIVs/51XAj BjTxVivwTavusruPR1Y8jDFks8ds57mO3PZUsZ/vASsV4B9z2SoVH9RRjnyuo1FtOM3yeqaRVsDG xTfZWSy0nd9oai2sG6hxMajPYD/NRlV5xnlsB+yPD8JTk6TvlhWn0E1D65y0q1O9Rv+dfl6oPbJB OT//Ok6LiHpnpyG/+c2v5dGjJ3o8YKMgxCOaohAPqh1ixbh7aIX4aWfD+dy8eVX++Mdv5eHDh0qu BxMJ69KYJCjoV6fmEnF+rM2ldslNw0mO0zJ2CJguLqcWC9EBNS0jxrx4pMW6dc1BzzBwTtnJE/wF LA1HRy9lf/8wRbobutwiIBVTpa0dFrRS8KJQU7eHxO/IrFBEXYYlCvNjPJSO7uj7FUGf0h/nEdVy YE0Ku/qC6SHqeeYXb17nTPdSZZUoTdWrnInCbzzRBMBZp2le9r2q9DEwTJqntPG3OuNpJcfhOkar ULMOV0JgtwDdm3tuCo1oSLtjaVaq5WbTA0YnbefN7uibCBgrv76rGK+jMRA7LY+k4wiNrmav37X5 wiXXj1/zORRi13VapjswlNu3b6h+H86P2ue1a1dlOOyGzmJciE+pmLN1NiY3Pv30QxUs5Rr99//+ 3+U//Id/lmq1qDWtmCBQR4UK1llcTx7+crzXZIYuCaeVbi6XV4gn9dxMIZ5Iy9NDzxycwG8W6gMZ 5QspV3Eyyjs+0qgmi3vCLOUKgLJCjMWyupOxbQ4TGgwDlhf0gSVt5KHlC6GM0UgrtOqzO/S6hP8+ VpC1FKoBy0RZhSOcFAw+KY8wnJp5XeNcYqebvXkqsArtyKCfO6LAsdmIiD1YylhKG32F4c/YiOa0 23J2FqKaora8s/Q4zZ1trT3yULJF1XR0aPX5P4+0jo+OrHCvRIQDfTj4Pl1kA8MFrbqOvfRAWsc9 XIftwcDEIr/97Zfy+9//SV6/fq0/R3SUrmIeTivlY8oe4EQFIJ48eSG/+c1vdBM5PqYr2lDnBAec 47T4XaPBQzVL8/s+WEmbVPWEw33T5pv9Zj7L6Hgmk56m5M7UomWIM6NnyjotBaMbHmp+cTzmuuJC EBqy80CwxYKgA3Z2ejaVlulsUuCD8tY80ZmDPRMYgw43g/wxwQjldgrRySoX3LBgpcCpZSmoOoAq qafNJ/pnVWvTOJuLmMM5/Pp4QdY6kUSSgUd7ZNdsZ3eW4EwjrT7smsZYSrcKW9dpYURA/NHmRc59 1GhZx6WW83DPM45/d28vqZX4Ahod2254njRB70ulEvjv14+0RqOe/Pa3X8iLF69UN/LVqzf6m0az qgR+M4j4MOuZTQ+JmO7cgRW0qYX458+fywcffKCKy7BFWHroo0IV/beymq7cXX47UVaKhh/NcLBd xBKMpQYVF5tlVOhSyOKoR2qZKcMkzCZPukiHMj4/Zf/Nu5hJHctTplCXsZoSD35am7A6lsmD+fuU 3C8ngvLoxOlVMRe98JqHLybtpME/vmTqO8ZZJVFfjm1yx9FhY3AlgVywlgxwm9gG9Rkv9nMd5hlR j2GADA2P0+LsV6HZiC1bK7osU+YDLcSfJDXJTXyn1eLY4NZ8XxD/uH79qkIdjo+tMA431e4uDQ1D svt6rVTpsLpSTz577JUrB1oXo5v1pz9+I5999mmYDU27kCnX1oqF+Eu0SY7Tcg62VTF7iz7bYQ0X xWPZxICpxHvJYt76sXIHta1OIvbqNuMN4EPig7YbxiBIOO2KF3nOAIbQU+0yWqGcnd7okHPoYkYj fZiz6UhMZZOe4EhOT071sxrN+WT3lzFTtcxYEC5cmjWTLVs9miMSNebNrYgbPsWvzbwepaEOhXsT cH2b528zoraANqXXxwPBBrB6Sph1EOa0bt68Lru7e/Ltt9/KkydP5OXLsnz00b0kQkoEKaoh/c6h MTGZsLJqcP7hD3/UY+t0ejrwjJMzQdgwJK7YIHBarYSR931yWjXlYFsNs5f3eV5W8UbceddZGvzY sH2c/i0yd1q8P3ZayofFTbRBZevicTN8/Cb9Yh9QNhI/L0YSVZAqxF2hZQfi5hclOwaQLgowUn1p nY2028XCfh9s2bmuuxORVku/o84qGdDtns2oFOOowKYpWHc0lLOhMbVuUpU4z2zRUJ+04fhNRnJ2 r1edW5s/y8fMYLlSkrt376gAB8R6wEZGo37Cp2VOy+TsnU8ra6xviu50IieTguzt7SmT6M4OKfvJ FKVzwo4apKuWyYi9TSsonRGCDqMksllmcXlDyy3RBMu67KSxNgO+hWwJtMG6a8caO9adZnMvX7t2 N3fBcONYpOCjmMXi334AFB739q7p322ifXVnpYs/cJFTfAflHUMSgDYAJPNU1HnZATFuWtPvoma7 hw2iuirQMsn7ecYYCI4IErtUufhUb5Ibkk7Wz7DrrdxMDJfu7Fya0/La5ToKLeuYj/8Y3m5FLv05 fqwgI00FKZ7v7+9rMR6VJ6S1DF8F3bIZUwdERmDjZj5uQpbBNa7Kf/7P/1mfgbt378rnn/9KR0Qs hXfmUtIbAyezuRK5KfD6kovykwzeMC/KUrjAtgFLTW5vMXbOpbWyn+NTIozmLdNt9ACE//JZTuZ3 kXVD9E3EiKkIBSkINQSVuBr0wp++pnkOrIzN2RTMqax+MJz47t7+QgdH1xJHpt2jSNQCSjm/oJdl CRNqqK85hMP+M5nSQ/TXOXMFxvGtAqycZ3DD9/sU4I1eg5oWmm6+UeCwW2dGu6w/U0iGzWm5huKm U0SnG7oMh+gcaqvXRwLwdWHQNZatrZoq1gBTYPzm6OhU9veJWi1C8kiLlE55v3KdFvd2IP/0T/8o X3/9jUb4b94cy97ejm5S9hCmTotNFQwXtTDHbK2L61vHCjnXax4kh/IFNWOe2+z68G66TWHM3zB4 H058XqQVp5HUbRl0XiX1W9WSlPD4GBbFYSgAw2FliyfFW02HiulDPYw6J6WVb84qDxSfR6Ri32kF /U2MBuTl1px3FiWv/43/Htl0q3V2J7qojBL1GKsR2ZAoqYxifwKJH86Qzmqyk+lDbxEKsBFgBpt0 LpdRI4vZQZwvaZPfQ2YALdInn3yiHb+ff36ldcdm0yS+UDay+xOp8eTg4Ky1PpbDwyvy3Xffy/37 9/V9RG9O6Wxr054ZhFksM+nYozMlifN2KGgmOWtP0fAAfTtcm9RpeZ2UoGSV9WoceQWFx8TdQo+o KKar6lTl8kbcyq0WaQetRmvH+wPqIWKW+sUjCrx10jVRCtnN7iaeDl7MfDBbNDJCmw8ohTkpi45W GSJe55iNceJinaNur204trJxw+sITxjmJZLiD2lazNzKYfK9YFi2N+i0SIc26Ux0k9BopJqbPrsz u3BXajKUw8M9OT4+lpcvX+rnfvzxx1qjpXYVU81wfY2HbVa5hfddvbonlcpn8vLlz8n15fhJ/3gv 5kwcSkcTut80obJglndVnC+EIXv+C2DTs6d1760HDjgt3k9jQiMqJmHWgKWc18oxJTFOSBkQGDcL Lce4e+dOiZ9Z692wQ+cVIdiUxVgxlbJPaJtdzj6tJ/g5oZR8mcdyEeP4+j2wST7CU5HKuDbV2QJX lkZz6XsZRSLCoMOyCTNVpChQOKfFfGlbWztJTWK6hW6q2z6wzkOwCBaymCCC+zCUjz++pyj4J0+e yU8//SR37tzRTiBRkIu3cr1JFbWGmlWY1lpUSfb2GFbvyenpmUrPX79+TWq1itYefVjahS+Isihr 5G/il++0Jgsi/Fq9oRv3RVhF4zVO/RSkwNvqViu9TK8LRN4WFPNnntqweAghyUXjlMwcltGbJtHX Rkjb1qh9BNCpzfFZCpeFRri9jUJ9mjZbhLCKqOTCz6Pz1e9IuWHKyHCT44y8c4gTazQLWtNKaH9C Z2gdAOYyI8W86GCtpgwUT8HfBGqRGaiGMn0YnEPnTQPF7nYAvaa2fKX5ZEa5TBu9Lru73J+b8ujR Y/3dvXv3NHUhonInY04rgHdDWs7v+j0T+iwURnJ4uKubQafT0U4kKSJFfn7v2QYdd60B00R5hzaZ 47QMmGkjPFniyGXm4jI4Y1S/uYYMxb9NK9Ot8w4QhXdYC9w5Ocez5ejZg8dhsYg54KJtwRsC0XkN Sf8vDCWroMXQ0gl3TrMjMZfnMuPPdv6vZKcJKH2iHhzJcrWQ1QznZKrSFsorj1bnJOlAKV5uZ9ew bVp0NwDrJi2Zpj9bf0bNywos8DxlYJ1RHfR1w/TpgJTiyKYUKJ7zgOWeV67vMjZRun9OwAeyem+v KcfH1AO78q//+q/yy1/+UiMvnBMRkq8nu9apEo4xhgdhjslE7t7F8T3XCJFUc3sbKXo7F4doxGKw +c713dWz0vRwdYaHVGDG3tdMlJPevpWnHz5m7VLUeTqvN4sxIQeO6ZJVzOIcMVaMjvcoz7uDPv+H JcdjRTS5LIs5uvx77Q9MDCnUQtH/nLv+7OLDoPOMUR2bN/TOYXOKfcDn/FYxZ9JY1Xz3VR70rabC TVZZ4ElRveizjZYyJE6fub5+P5lhjZsX7rBc7acMLxJkbnMVWGa+PZDu2XoyGXSc1lDu378lZ2fU nary5s0b/bz9fTQFqcdaodjTQ+pc6BVmDUd2794t5eaCm/zf//3f5csvv4wojBzgSPG5nqglvTun JbmPixPoEWlxTnmRVlJOwVEpWBqCzXdb/ik7PYnPm2U9szMczBZHzWFhCRf7CtgTR0tr4TuSrJ/3 EFymJ49HkPwcdTC7YgPbeY7oXews/UEvgHlNNoyHcN2Ug3M8evMmIJeTn87geHyBe9fHa2FOa6sM kQtqJA4y9PfGC9xKCUiZmcOdd9+5DxRz3WlhRAMg2T2KicBXM0GMrUuTree4UWXm3/x8axvowY78 8Y9/klevXsm//Mu/6HWF6cGEVc34u0WAs5AH6rdQK7948Tx0zKxk4hu4HxgppYKtJ5vRLTyfzXeM 6rR8bi/qHtp5DwInWjPZcN4HBKQi3ePalGoBAsXX3d0udNKYjSIPD+etBmBRRhaZnTXeC7NAnFpc ZrEuPt6YuNbCfHPSKPc4T9e7GPNZxbhe0M8YWjvtailCfuXPiCNG/+nsrKf/zkcigAPE94rUjsFa 5+mP14YX1aEJYjfOTjXwUFC4jrFrc7E8WrROEdZE1icnR7K9vTtbH4yRA9EPvbbkknWKORyPZW+3 IV988Zns7u7rOT169EiazYbs7IyTSNYiLZSOqNvMXmeWypdffi6NBmwVHR2a3t3dlXv37ibZiGkh wqh5NAdI+m5TQ0zTPDYlBH4HTDKYngIdRe7hRWuxm7apo9Edlr9EuCu8K8XeWPrH/8RdkFU7hY5/ 2bTFiz1pBgSpKq+HcIxWK7EF+T6h5pcZD03K7hAepu7lghPzDEcSL2IcCoVoHWYPjAvZRe6OKksZ EpvPm+FXfRP1GmoCVpyYQCc1NfuOyULHZZQyVnsjMk3KDpNxKJb35S9/eaaag59++qnWsoie0poW bJ4gxU9znRZAXwrs33zzTZjWsAbJ1CExH+rc8O+wnrXIvDZVGZJyO9mBR7Lv05EGma8UFJrin0iN SsAbiELArsABFVIGH0nhZqXOwTo7i5xA6uguxoroBHzxsbvatEVLRi3zt2Y6+lHshqIuYp+NXGK6 jdmcgld87zw6zX/7JMOVlX/PfTPkvnk90+9f7LS0AaQp7XhxxzDjuBzcSdMCtR1Oy0bKhhoV8X3P nj0LzJ0NdWQOVTB4BRxYpsCdvT44ohs3ruvYCsO9FPWhTYlrvnxWudxfkMa/e1dQCFTRy+xdH6nC GuJipgH7xlLSMRTofw3FSnoIVYU7HZepd1N64BW+kCK1rBAUeKSUpDJamDVpsWKJ3RcGiVD8vuCs 0l+T2aya1deIGhirWpetdDW7mBIO6SRUQsadNd9ROSNAXJSfEqnxdRBooWMmVT9OIrc8+E28IHEW OtEBaLVcVcdH1LS1VZbXb0Y6d2j1vWuaHoqk+CrTQ9zSSGvW0NBryO9//5MyRQBOhWqZmbvYaRFl Ie2Wiri8XZtcEnXy27ZyLg0MwLIEaexCD9MT3LYTdvWmm06h7WLLhj7nQRFiTUL/HuWYSrh4Umf5 t3Dhz2tcX6IqUhVroRttNSM9i2xdyMd5USo6LO0CFHOaFDEhnN9vj6zimqrWvYYM3FLAt1Glqc9T kQlYJCxyActFjW3eTBwOgw3PR9HCR8id2zd0nMTVeBC2MPBqiq+yIWe79pkrpfOL9+/flX7fNBxJ Me/cuT0Vj2h6Wd9R3vl8ttJ3Hbusbu/ySHNieWP9jDmqbLHbonIYhDs6uiAp1UxFxsPuwtNROa8g EOEtKVrXoJqhLrbd9m8vnduk0dxgls3xWaSI/GzR7n0uJ7+Gx3Kyt27HmDYKS+qMzs7h0k++Qfnr XAil2dzWtREfv89R8l3xuQEzwVnaoO6cYnFuFjmW27evy7/927/r2M2//du/yZdf/jqMbpUyXFpW CsmeFzJh33//MHG4zOXG52THWVIKoUtN49+Sp3lXTivnrqIRaIR82RoRC9jZG6wWxY7T0XDZfmYt 80XPBqMWzmvl4ftlRkx+nJxXuVTVC72eiMA5VHR8kDqkMnZNjWlxU0bBtzigbmddLQZ6u70FtL3n AtWudl9c1guHuQju4PTR2fpiHBGxkSmkQql+Zwv45qhge7UOYnYCg7+BRGfcbOFpZS4HTgi9wm53 IJ999pkek6l2d5Jr7HOHujmEDrqT21Ff/Oij+/Lddz8ogSCUzZ988stAJjBdz9L6r27sb9cNTICx bFIr8R04raTonjxoSvBfDgrB0+o1MaDPIy8QxXSJHjz4SV97/cb+WxhqzlpQrh7S/u9Ls1EJYDfj 4m61XpviS5VW+VD5ITdtjMgYCj9fiIEHkfQGRtZNLRpAiYafqwZx1h0VYMi1c31l2nFdZpz78qJ6 aSkqns0MvNeM2hCQGKTNw8C3r0PnaPKNSeXVg57lui15ZgzBerkD5TnAwdq0gXVnuc6a2rXepIP1 AcMHx/zBwX6AN9wLjtnwX541+MTCuJ2OWb09N1DY+Ce+badVpsDOlXfe9uwYTkwt4wdoC9Banzgr RhSuXbumuxo5+kX9EQuh2+mqwIRJCxlflzOTDvrMETLrOFCOIsJ4djVI1ujyFLYQ0bQHetJvqw5g QUoLUMebunEU+uaflM77bfgOK994Y1cZM8xpbYWUY+br1VYVTvCRo1WclaOmcSgxqNRBuYuYFzz9 0w0mYH/iDU2dEAo9nbZG/nGdy+AKRgCIGQasGbBjSw56ToORiMoAuuYwdQC9XJ0ClvL7RmMvSH5Z B8kdO8wOMSXzdMsyPajsmNXbsMJfR4lsoZWpH80D8flCSoGVJu8Uh/68Dr6gk5OW4lHYpa7fuLrS l5MidLt9nXrn70dvjpVnZ2d3Wx4+fCbb21s6QgHEAuoKRiGQFWdXZQfm781mXZ3Uxx9/KHv7IKHD 7FdAa78t04mAyfwow+uBcct+E+aiCk4B/Pr1sdTrZSmWph8QIgVV1kF70lHmSfc1OcqU/QGIy7pS YDoobbQ3HnUsOldN/4JgCU4mdmwOXFVFHS9tJ5GMpYKqqoKoQdV4mDYhioETdAk2p0LGYeHIPD30 n4GFU+XuyGhCGVfWdmZahGNOI76UNugs7yguDatYKPx1R1kKa8g9iFB/YdCRnY10BodF1BMXd3nd mzev5MGDJ7poms2DpFaRZ/zuzRskmGpyetqSk5MzfUAYceBYdne3VFqdEZAGPNCVimzvbMvOdlNu 3DyU05MzuXJ1/9LoYc5rRJuLOtaasuhuunknykP2+MkjeaPOqq4UKqXSNBLeAIyXy1ekM4eNppyc nixNx6DJxkFt7TDYXM0VKzHAaOBcQhl8YOfjEb6P/8TfpcIRbdPlU1qeqmHyctf5nCgrdVrpKBCO iohoOKSgb7VI15PEkcWTBERjvZ6lfv4zKGpiVgeMz6mMBglpY+Yo/n+nNa+GhVmr1fcyx12VpKea cXYxYbTM8hNZTUqU7/rnn1+r1BIdkjt3r8eQYwWWsmOxCJ89fa4PlqGa6aSU5eBgT+oNWsem0POb 33yuXcN0qNSsXr9yKQ/9Rc1YV+dHTxphDSkU85rNfjcPC8KfOPhvv/leO2XG+2SYtbdp1KCUvgSn kdOd9DRRCd9CVGXnYIPFrDFQ8Tgqr5NaUXuYjI0RKfp8m0f8PvdJMdwbOcqie9IJjm2+8lKemSNK a1cmXrGj0ayVQ5xOpmk0y5QbkmVpvFocU0xfQ3qZV8/C3iYdzeSvGJOlW5PdXGs1+4nYLjY96+fY GeM8t2KipzrVKpxGNgl/dobw1zVdYE7h6zTKw7BbMvHOiuY7c+WyapW5sk7vo/HgcV3mOSMbe7o4 ud88q1atEXL//h159eooOE90+NYXZr2omfgATABpumOYKgaFq9JUuaeU75vjprMHniqeVSVKJ/3n ZURLTsHr64WZRpybR/M4EksXYwiEkxDOue5zoixM4QuqYuRd8KJGVciymeSXPS+qdsSVVgBv+t0w PuCkPIL0AenskLRyyys420SN30ayNVlhHa7r1N5GapgAR7N85PkhdPpz/uOdHAX9Kbvjx0q3QZfk +fPXqp6r4XIAPArRRbkon/7qI/lbs1Vv7upqwec7hr19Zt968qc//Uk7VQzj9gftt+7oSdMg61Nq GDa50UjTNyKrmBWEDQxn5dg+dzhJfapm9a200G7vUUFeJZG0ehCWOoM0RaSDyDWH2tj441fl1TIb 9Ns64eEFdyIrxEFAvVNcT5xWbTtg0UKkFGYRYT0dj9PBeiUJGEGrM0mO08Z/dmTSOZHRePDewDQn 54jELvtoy14I9oJmOiKR8qG7+YKJlXT0vQHesNWEc+i+Siuh50YdyuSSpkF/f4vmeKCpjmpWyCLQ Nl9uSD6Rq4d7GiETfXz//Q/akGC3f9tXXhkb+EtQ5M4WxSmoMxjtKZej3VUkNozhxPUpIioK9YyL aY1KlbaHCT85neR50AkcpkMd1rv2JlCBc0lR74xEjUOklXYENb1T5wxpIZ3qidYRYUFw54bxOcwr ZtNDHbRG2m0NFo4R95mxJBpjG1SpeV+dVtk7LgoXGAySkDuPm5ydhvnCUrmitS0/MHZOeJ2trWuy 4Q8fPtTP+8XH9/5KBg4ubjwMcQc1z4k5qPQyawjUBG/fuS5Pn/ysnTtjIRjk7N6Xb4vAsq53h7kk +jzlcKdRzhbQrchNQ8jYGAqF2WK/b8Q4R5yWiV8UVo6yDCDdmpa9V0mvoQ5F8/OkzlVD7YlJhLOp 5pSNU6W6iMUifPDOQZWmtACAO53jDBI+dQHjiJvOUmITCWn1ukkT4m/ZaSkfVmwxRUtW+krb4UK9 qhqKmF7ohKTMorSzs5fK4sjf2WEB2XV7J381c1IXMSKD4mS+ZJLVud4O7oYH8v4Ht2U8KsqDBw90 uPdXn32sw9Lvi1E4V7gX3egt4AlVdUpnpyd6LYmgfDPtD1K5cl+fOn8aZOC8o7jInM2WqKS4RBA0 ayaDl45DOeq90zkKxXnqXH58KcWyG84phkUYKLusKaTT2WAq7QZGq5sOWuu5Bs1LDA43Xh3rDPIc 47yskJ9ymP2tFeqnvJXTyziPuhtiD4xKbNVNLp68HHbRUtF2z+6gpQBS6gSge7a3qVNckytXrsjj x09UbmlyKfjy98vAtPUCg2vWkmLyBlR1VjUemrOztgJ7cQYUh+lmLSNafFtmD1c982BaxI+Zqrbt 1T4Y7wwPJsBalCqRDhsmeK4lFMo4NV5DB7M+Mcrf6QNaXOrLdv5U76+xK+3OqZRKKSUNTgdnRhoe G/92lg17fymcU08jtpReuSZ1HbQmjYfTiwFvc9iGT+sp1Ci7zlBY4rXGa5+yp74ru4woS2tY+uHh vyojX0QTryo7u/tSKYN/sRyefJ1dotczQrZicbYLRNpIi/bg4EBllSjAsxP+zzDPjDMfd9JZwoQv PxKDpTbz9phNJwqq/ezzT+XrP38r/+W//FdVMkYB5n2tJWbnEWPwpTssnD4PpNM3nxwfL939Y5EI NmNS0BmHtYLTwuno6FoiIlyWGuo6KBwFh+WD0tSpsphF6l7FIh1GixUMnDoJGK0UMmQYL+jEnd45 VcguzTlXj7gWSdL/taeGZcJyLir/PThohl2NwUwTWWA3sgn1lqKY3p3dOwAAIABJREFU/W7Gs1oJ aC48ntS5fIwGDbe7d2/Jzu5mdPLeV/NUz5WZuQagyLMI7ndhw0FXDtHme9xX+pSbN6/LaALc4d07 LdYJNSinL857KLx7TUGbgWhqXF48p8No1EfL00HncNO64mikeDUivJkNZIHTMgjGqW7ePr7jTKWu cJRCICADnFbOUfqdzommfQzjYzg/JWccEGlVMwKvqXrUIEA8YvodPybl+Qo0PJdJa/yuU8NyvW6q wiaiaqF1WnBnHAHe9mrSOcwefDwtT5iO4zM1FByaUYcQtf0tmvPas1vzsMWmi2gwlvZ4LDs7abH1 XRho74ODHR1vev78hbb3r17dD2rS78Zi1gVMH8gBJHxplBGzjDJn6AR9sZEeLbMYhY4ZUZ+lWnkF /uWfZ0h4+NqJlBwACpspzsdTPtI87ybGcQZrhaK8D+djibiIOi1Lkw0usZVEhuVyRbFt3iDjrHBO PHOUIy6jS7gJi/UULmpl5t/AhPgAaZ78lv875sjyzkuWUE2J97cMk3Lt2nVtNVOX+FszFgyLZx5m zX/OdfXu67s06j31uqkR//DDDzIa3ddB3XUR1qwJzpuJB0ebr2rK665OCChCWqsy853biumaApVL 0qwjE5bvVBSrFTbKRVFFum7TvztP/FwGiSWpoTmidoA1OP/7rs4GmnaAfS71LktBM4rSofPIezw6 xHmpuEikJs1nO0ljodBVx01xHcFjznnTOpSXGWVtwnGVmbDXkFwjbh/NMWCoO6dUCsucmws6ZA+c v6vU+JD6QENTSMLua9cOF84X/jWan0kexizurhrG7f1w2GMZ66A6s5wnJ2DkSirGsKr6juOmMMRP cRgGEVjutDSVaoP8Tovf/vMk5QsD0YqUVy4sixjm1duck2ou0Dn6bmd3iNMpjptRICK48wxOexro 4zWqH1muaZ3Lfmafx7OQp75jnUfSS5xWIRq07qqDiyMtGwGaaFDwrjc/bBnv3cL3rvCaeR9Ny09F AubtYi6J5aMUdAh1CLpUyl3oNobDTjGS/f0D+frrr61DVS/pnOBfuxkmpyv9HgXVlJvJayOx0Kou wqEVeNeNRi7DqpWyVK8QBfTk6ZPn+iDD/1QqTpZ2Dn0g2SMZHVjvD6QlrRmyPBghTk+PFa9Hd5mZ UEoDdn3MudC40YHxBJpgclN50lJ5Ir3u6BJFnQXmGYFpCE5rEWhq1e8HYQobqE6c15IoCzNQqQnc JsXyiLHBrpULYBzNOF+CBXN6DouwQevBoD3jtOrUx8IIz7u3yyYbNCvkzxIWFwtATClBm2oJs4e6 kOI2vUq2W+SlLJSddpCFQuHl7YeumzIbuTClYhWYDJ0Y2Hd4YBbtzorAHphDe9cOy+/VzZuHsrO9 I48fP9WmyK1bN6VYtAh6nuEUSENQT0rqlbXaFCzBrdfvGjQGYGXAT03PodoMqdEXTbS2RrNiruPJ cRxWrrCIv1JZfF2d4tvTTh+kTjuQRrrI66Bdnkxs46H2h8NdFHnxOyIi0rlkILq2rXWr2OEok0Vz Twv22etMCtjvp3AJuz44rc5Ueig+dyiUcHBa7zZjeRsF+KxbVIelF4CdKqpTxU4qPjAL6W0cR8cj gkiEgvyC+gnRh0ZVNYvaaN0OR2Op/JViG9gFKRB7BOW2jOI5pUu+3BnCVQxHayo2E60/NZoVZXeg y/bNN9/KF198Lv3x4iK8gYVTRg+ixuy5O4+Vp/9+vbzQHcNo9NqF7iDRm66VwL02z3mRknIuDlRe Fl3hnHzoOD4GgKn5tUd+bjjEdnsg5d2ylArLIrhQRG9EA9FKpAgOyzFWAQKhGoWn0SZvz59htsYh UrM1hbPDafX74whwWlQ0fWfM3OG7LzW8bael9DKA0LDszXcytziM9Z1yf89Uc9MbzAICYFqTne0D 5Xrn827duqWzhZXKR3Jw5d12y85r2cjIFYm9cOw1hRSBzTC4qRfTalaBjXetoBuGhrknFM1pjNy8 eVW+/fZHOTy8pnCH27dvKi/8op17GaeWRi9zsoXpSN2uqV8vj1wLfSuOF0tFxQASxVkU09O6Wcwg wnuXXVc2V+6PiaXYILR215ZEuxo5e1dyhdQQBwc6fau5H/GPNbVzaGwTtaRGRaEebq34GilANESm vM+cFmvLHJ8JvFaTz/bPeJuMpe/aaWFl7bTMUznR/52ehWMsoFZFxcRCfvP8gEXbmgL2Sij8vgn1 kQNtod+8efO9lYHPmjsiH4dQ6hyl7TV6HMXzaF3G0gUoddjpiBKUYrpUSrBC75OYqwrjqtitF5u7 ylv1+eefyOlpN9ShUHsZajfxvMY6wtnQDdR/L1nIHqVjVkpg8U/0eqqT0hSUMRZXIzZbBfiaNno8 a3AhhtlNKGvuDNd5EHkecC4U2d3hkAbSOYw5tMxpmSOy2lxESRO6ie60HIRqKPliAjg1xP08xtK/ riL8OlY2tV2rscR/XH5rdweqWCuis5CcRqPVOglEa3YhXcwyRg/zMD948DjMFRqW633EibhxfO0I HMtN0A5qkPK2dvhQa1LUtHrjidTq5szidPF9OkevJbIlcQ7M6fEgKxh4ONT7BbvD2WlH5a1u3Lgh t24dSrlSOrdj3FJxiF6SRq9qNl8323VNO4n2UPhGsBzdThpoPGGeoq6SRmozJUvv7F+1xE+Swpny uHPCMz7UCJ3DtBuYsJVmJMO8kO+dQf8MoA3dQN3sNWfDeSGkSzr5rtfc26HBKVurl9oBOJKGFCDg D6q4Lu9tOx3gUtqwr/SNRBV0K0YjOoZ+AdNWtb5mNFCOLDqF3ERSz3ePrV5iUfjv6Ye1n7syHPSn alfwMZH67e5adPI+mdasurTHSQNtrIUBYqJFfkb0SJRlKb+BNp0XnTREhHM7X40kLq5fBM4SF8Xj NNAVdmIut/j1sVlzJBVtVek1rSkG7vqc9xkGbE4dLfsVmQWthXsFle5P4av40+uhSWC4LesGbiVq 1JkT1/TQxDDSucNajWexk4m+kB2DOufddw7fRkBSvnr1RgRsQ7uPMQHj8GGnOT451puc12q2HDuV WIqHUwH98aDs7Nh0O2q4Vw93dWj6fTV/MJxmdxmxoeo36rWiXf5+dUEd1OrASHWwOnFgiGnj5hor Vm53BwGJuhweXpVXr17puX740QcyHHTOXSNxoj7kz2JCvYuaRWHGehHLzZkvMs78NN3zqIr1a1Q2 LiPmAFUtAeia9fNM7/tKKX3O88k1UzWjACrFLEKyzmHM2EDUhTTbrBo0NS2bW0wdXzkRcvXuI8ZQ +wSc1/8ERfhyp9MKIzmGQC4WU0L8GOXu5imjPcTUGWwHt4fddNhwWuTx7Oa8F+lvq5EMtFv4Ppvy zkeof9+Z9b+h4eDmXOM2UvJ+OSyiJcc+xRsJVq/X5CRQkVBrUi3HJiIfV9XRPH36TKXWqcP1Qnqy rsV10U2Dhj168w3Ex8aM/sjSUnPO1v32GhZrtlozR2rOXKKUE3FU044ER0jX+yJmxH1Z57St0dd4 TDE/FROmnoUzy9bltJCvzKYxsLQWBqhL0QA2dVMUi47eq3LEZVgZDMl8D2mT7cohpFPnhSkMDUXn 2V3Iwl1zWjU5Onojf/jDn7Q2whD0khnVt24J71dSvzOJ9EL2jOBcUlBsMZeEzq9bopT9jpsM0BO7 jBb/1SaBQk3ousEawWCtRSlpKi/Kx0/UDNSBjQYJtvPS0fCd2zu7Sd3PFbjdzvtw8Xk2yOzaAnb9 +S91OgCozaY5KB+uxjHHQ9OxmfMCL1iRmuR1QdcpZMQFdKtnpVTIBlUwoGjKVEpWowh51c0szDg+ 6l9p57AQIBNWyE9YTNFKDCIZWZDt31KUVc5KiYMFSWsCYVGF6GnqIBbo/nlx2gqcRfnVr36lzJe1 mouZvptdIEZHc3xgktLh2xSSoEXaKGIyahNjWnWoh5sJu/alUzDxUv9MHhyf5n8Xxj0kavJ0yURy UycKBit7H0ib7t2/LZ12T/74x6/l+fPnKreugqHnqGf5hAR/JrWUFNLTMB+2N8DxaqKtmNawXNNQ gcm2jH3I3mM7U8Wm9lNL4Djns8L5mzidE4U6JM6pDDMq3cRpRR6bOUQgeHpzsFSe5hb1rFpUhIfb rDtVz8Ih8xneafxbdFpl0gatOYWbq6MKk2lBy/gJ9fRiHp1H1ok1GjWdav/++++ViXR7hx1e3omd HNtoxMzQdrDAZD8D8jQIx0ipYozV0YrY5vjMKStqOxjXhxlK0uBltCeXaS4EOmPKiDmWTqsjje1U asvPdWurLr/97Zeyv39Fr5UJhp5eaN/29I3PUwcTygU2RTDQmT6twSy4P5g5Hh5Y2wzAlrnDgtec 9cx9KmauezbiXVI735hZER5QadqYUThC9zQQ9/noDanhro7vZOuGrEmYNba0nlWaqmeBdzSnZWel RXgt5L8fJI2btjJpgmOxZh9UayHR4nW/pUDTUkkfRoB8LLJkCDXM0FURsAwzWxSkGbRNJMYvUbZI F3PoYPo4Bufnu6uim6PUzZ2x7u5KyctuDLq4rw4q5ranPqLoav4dZghNEXv2WKxwb+lIViT0fbDW WVsKnb7wyJ/0jqWxa2o28QNSqxuxnD8cPFibjo7diREBeRREdMqaYU3ptQ4/89d7Q8dHeUhhcVqY r81FY1Dzjn4FbOi5LUsbg+FYiLKoQ8VCFNVaU3rd2bTOebgaU7CGeijkp2j6uFb2rovwlxFllVkc 8eKxIuW0OfguJsLnWSftsQfaRFj94CD9AwbAv3AA8EE9evRYp/0/g1d8g0tDWRl7vSS9GPsOHYqz zIbpQ1FvqPNiFIXXeT3HujDTo0icK6T+7GZODlcuFRUmoNcjh5AvbUQEorkANn0fDQjLgGsAz9S4 IO0zG2qOO8HmOEg5bCjXyOgGl/oQmJOxUa4UgwWEIa1F6WRF0YCkGI4r4TrXOlQqqYVlHxciZJ1C UKzUdCbhhXkln1wwHrSucSaARGPnpMwOldostoqUsTLMbXaMxqNAaZPyx3N/qHEZvCgFlSovPHOL 77grv2mnVSYS8nQmxrrEZpELxeWgqgsotNNWh2UXKZL9UhmmVGDVKG9HSaTjzsoK+UbOtmgeL+cK hBrG0CK8kTGbJvl+r6ffZdFeuhih0SEqPDhAOXq+UY/ic4mM8o4p3r1jGhm+D64i/e4IP/Q+Wr1R l0FvIIPeUKPLyhDql47sKJ4sNaudGCGd7dw7WpOZbcFv3tJrCKKbP9UFtbqt2ffnvNZJ+1S6K/zX SiHFAIIOoipex6QTp7g0ay5d5H6iaYDCztbW/lTHj/ULfMHEWq2ehRMipcsKWWDwl5UGFvHGhXxj jXCBDJtbpC72LkkaL8NpKad7kvaElCpJoQIAkFTJiqKpbJWipHOUjnlw/cLj3XFQQCf29/d1hxwO 2bnN0ah6Cbt8ICNbxdj92FHjY453wlRXMTOArAji/tJCuB5/REMbm+J/wKQFqh2rx9i8meOcANlC j2xF+nLCO/6+WalSlm6nJyTpQxoFnb706wYeTaxg8lSK+lZmTVDb9YCsfn/M7tVkKTeJQzuM4sY3 Z6A5tmF7TdLuZxBiGU7krNdV+TGGvS9wlOq0iIZIB319WX2wFVgZ0pRRB5wVAjEb0fZ67VDCSEGl bLCg7A1G4UX4WkDTv/si/KasrGISYdA0LoymnrqgwhJx6OyIYR+MVg/K/wWuo53ddMjZ1lJFfv/7 P2ohuloFbOphsRGoKcXrAofFQjJnY6mCRznuJOK+gMMM3In5bkkkuGxw19+fHYyKu4c2MlGbwV3x e0CS8VzcoAvtiO3Q74sRPXZP2oLE6Tb3nJ+RBo3GcnJyKvt7u+qQ3ZRJIGLWVP7yjLjCe2dzNnPK FHm1LYvEUzVq5+xKx9Q2B1PBecQ0yt4hJDUE/xWnjIhbtDvAF2S2CN89k2ZjLxJnJQqszAByiNbo 8L57OprNjO6UiQLM+Uw/oHFa4//WjmIQVOUqUvD0JjKREm10rwnFB8oCODw8VLkp7n9cwDfFX3Y+ SzuSiIja1GCg4zBpM6CgO138+eaYpi8G6aKxVRrntTscjpd62qLF58V5dlpTv7Zz95SAekoeUFSv UwQP4ZwYgn4fTBsA/aEMOl0pjyaylemgocLS50HtMUvZkUqxr3xXjR3uZ0nTEwdBamrI7v+eMAWs WjbXGmMQRln2Ob4O7X4PpVqrqiDLpkydTeCDx1w6LFvPYnOoVYe5zY6J0vi0I2iEHXueIc5K1H/e UauNmD6iF3daCR/WfEuR0i5JZBfUnIB+SLmsnZo2dZAM+6TWC/o92draCmkhfEZGlWtDxQ11ea0z nzqHURGM1DSDp0dT1m2sJJJGBsUA0FnQh8wR96nkkXc4U2c4z2FRkLWIzbFW5qimzgY+MOeoV/ZH Q7oDjFSnFvBMnMe7jq4Gg5H0Wx0pkuaMxlLL1AopvBNd+dUAhjdo9bTLWypMpHXakp09i6wsMjB5 K6dOoT6yCmvC++C0WJ+r1FFMPt7WioNMSYd1HW3oKD1CyjonIxAgC0k3Za4zG0PerOBgyCRDDGvI NyvC05w4eeuQ0nzw0PmdVtlYQ/OLyzgAvHKxUNHoiVSI4jVF9X4fahkDUrrD4ME9OTnWuk0cgTAK sr9/qH8HWd9ulzV9pGuonNphxCVBXDtVSxY7E3i5GfnBuRjvVHBSJZM59xoVmCv/XCdsa4DPWRBd UXimAKv8YHMWt4NiSaV7XVRfrCvp6Gs3/9m7YKjQ7mirI5NOT2oeTXlKH9hCu6DfCwXZDte8zT0s iPTDNYVssd8dyGnxVLUleSdUJqQhRpVSlUp5kMs28D46LdPbXE4pE0NZlIiQTaiYZhn6ug0cJR0/ noXY2RBl0dmjGxunjMwKajNrMpqjkwgn/eL6GhuNcmhFitKXaYWFPzi/09Kiu6ZnSnts+ZrKKREd hHoOqQ03DyfgKY+j4C1dCnid8HoGb+kgepEyqXOFiImdwSECcYfPox8b/ZmOhFz5Vwv19cb/19y1 9rZtJdGhqKclR07zsC2nwbpAsbtA0XeBfuuX/fn9sEWBok0aZ9MirZOtbMt6kCIpqjgzd3gvKYpS 3MTVAP5gWyZpknfuzJkzZwgCdJqushNzNNP5M3AYfDyfpW5BJtwE7OO8mxjR7LDMeC99wa0qgNUX 588Zrffb0MXijSNKaBnFlM5jjEPKkSdxzZGho/g166jUOo06XUNnveZRkEh7Eqe4RpOe2epZGmKp DjyDcQeabquM8cctFF911qZCADAuMPFgFZHC1qgejuyvGtJsYbA7zolBeNXPsikjenODsET7ipUd IPGEa7PXJFivyOuo4TyiYvruQHhv6x/ezGmxwwLoru0baC1hwh4WG0Jjs+PyeQ1Z0p1yAisuSKRJ cHBKDdDmVBU1wzkUHFeTnQ3fi4opdpmsxGzSUPS/gd8kCpWCbfF+ioU0hxql7I5aDECkhIeIdC0k CNbJUIB1BnVQ5W2tMyXT6jXbn2PIgSh66uekjB6Wlt3fpgVBSAukcrgmPEe5gOz3SPsW2Hiw0NbQ LfCTbrNBYZLwZ2fA4Hotjlrd54vNRkBj6Uns8HAFpBq7lBrmTaq21ZGuu6m6Zqk+IihooyxpOyob 3qLsfR3csvacqKCHE+ruWfBc6Aggla6mjO2WMN7LB6PMDJveWpyElKaoIFqteAD56VtmwldHU1X2 pu+MB6Z7fqdNPVn8zHw2EYR83+F0QfW2odJQegmmY96FNjQ6Un0p+4DzjbDAXPCAtP0Cv8Vodx12 yVgaa5PLi+O+C5pSuhpHek7RobdVvnWGvw9mm29iFg3ytQrnTKJHuQ4pKMgCwLWiOvk2oyxeXOCi RQlF05B8lklJUULhe5bgPpmUHuTQKEloGkzp4cHdyk4DpIgNPB+8A9zvJ21HxXvm7ujCk+rsGNUh nxZuU9HU8XWVR3XuA0os2NzwBRgC7w4KWHj+OqgjDD1Wda0+LvAszCfsrfQbFlPGRgMTpqF4sopn JQuMXQM/y6pDQDgwCEb8rFxBQSGVjjgwuZ1o6q+ZZFZQrpjZ5ueiuenNcs2FuOxg3aG4NYdZ3jWO sjTNkwm2qsypJWTLnOcUEBGeNq3WhU4hAydleII6PuucrHBbscpZbDMS+RxxuOtMsLDNjkUVVlE9 CkMbCUKKglnUDE6LNrlqi/m+3eVuahxZhjGPDsOXl6bUlpo737cxolqQHTk9Tejs1/+xt8b9PHtx Rh99+G86HbxfeQ5onbPShu/TfJ5w1RCFkXx6DkcsY6y4C8AQIEFq3B2yrHVawFg3XZduPLLh5Kk9 VSbvE1LlOZGZQp1BE6C6TKcc2Vcda5GqFI3rnKTtxtVyJ04ZO5QGaFsqprgeheBnecCzLD8LuJU+ K7cqieoiS9q8YZRz82jqZqZ9pirYWLp6VbROHRYL1ZkBl5ZUKkRMkbiQkn63t8+fmUwmLGy3qMnO JtNKLDVBWy+kDSIWYJPPg8UmD1siEwskaiYm+JnFu8RME22CkfHyCFpN6U2Tv+WQZ+PkGqkIAT+r fsEFnzIqA0x3qGWtP5BYtr1vsmQy4N/hsmHHwy66jXEf2SSgNJhTE+e0Y1yzz6B1aBl7tFzE9PvF Bf309CeuzH7w+JTOfnlO/3h8Sgfv3SfsEYiyoiSil6/P6fHhSXbP+VmZSTaoGNaWHk2vp9zKgwjb NaE6zDOqAyKBxUJoL7tj8t663RBlZqkr9UxGCZwtFQQo+1vtVc3OtIZoDJVXHAsZS9U7hVYcd1SY VGJFRsY6LGKn01btq5LILVoR/WtkkjadTj/7HI4JrXhxct7ORFNqWKtYS6ARcSHM/K8GdJczswOB zhWmjBgKgTb+6rgukCMz4qZpGFYg2sWiXME20RC3zgIp0mRybfS5Bcgs7uAi25tPO7N5gKlnJUaM xDOuBakjWo0UO0NFE8M+sXuKs90MDgPPK2mnLGVWI/oDr8t94FKZtGkiHCC+B46CwgCz/5cJYwnz aFrpRIG9JfOYkmBOjSVRc43yw+urIT198ZyOHh7ScPgHDY4HPOvv/t171Ot26etPv+Ln8+z33+hF MOHmbWBTP/z4A7WaTRrcO8wdr1P3aRIjyqrREm07U2lVWsEq4zDTe9JJLjfZtd+lQVd+m+qgCzEo fw9whCqY4PlBeinvpDafHwoSqCZLllFdyQvCa9rrHOTIo6A4ZO1fnudU/Lrs5IqGjaQoowznpFOq XZa99IdizUc7E1EBM8f9Ds2EJHfwCKygeyxAInZmXuimF7DNjgDDKkTBALk6rlu1pTgsNp8lknQw r86pvyPr9Vla2T4EyyaX8BxtDNrD5pqmew0zxFO+R5oYZy8aqjpcveKeRtnpZMeyRE7VBYe5XKlt G5YZzC/BRvj8zAFrUBDMqdNp0suXr8g7atDhYZ8XOVA+Xux+i6JFsDbdDiczasQptflGrX4GzydI EhpNp1zJ/e77/9IXn35B9+4c0P6/PuJhqfi7y+sRXU5G9PPPT2hwfEzv9Q9oPB7Tlx9/Tv29Im9O ngmcFsD3pl+jIIyY8tHb71XyiWQ3b+1MK4jAB9vRGTRq1ylR2kMoGvcyQEV0vBYZpWYbXFLTS1B4 uPpecS1496Wv0KaQEvXF/NXMpYxwNtDPKmLJwpmTdp12LlrDyLH8z0XZAfwsF4S/7WiKDf87JqpH 8UrA4xrPJXRvPNMWINovCDJ/z9Nw03Y2UpyHSRi6etbo7Egq4ybHC6SL5loyZyamKaEVdJOQ3Qqx LclfljdEZ+eCntNslhsRD64NUkmN+rQ8rc3Sqv2V508taLnX5ek3ShTdhjuleEfxszxOKwK2ldDV 1ZjmcwizEQ2HF9Q/MNVCw+Vi7sya0/AxQbOIFpymFZ4tkz7DOGE6wungEb04/43++c1/aL8tnJ36 nk9PfjmjJ8+eUP9On6O8jz/5jC6H/6cHdx/QB8ebsSyA9W3unyTWzgJmVyTCImJ0m3exGLCIdoHq oBOeN5m+C9jZpQouszrd4Rb6jrFgYAOZhmjmb2P8/vP0ooCDgeprjijx81I0cDIii1x3ZhNK200y uyo9DlI9AdstbgV2PZyTZDX13HHA/5II0rFbgiOFdC79wZuwQ04JBZQ01+h5TP6UUF+cUwquh+k5 LDuYUAgErNWIS5wC0jeJmlpm4oycA/2EMr1FRoZbzgn/3jROu6J47rmAUyVLKRu7zlbD92JHtmJY yk3Rl0+PB01zaCzJeCZ/q5dcgh6PglnIk5SHwytqt5o0Go1pPJ7wWDNl5PcPerRvgNdMNoX1xiMm Ba6rsO11O3Q9j8lnTpVJ20EKxTxIjGBrWedxevyILqcT+uP6ks5fndPF6JLJvsdHAzo5PuEo9GH/ Lj3YP+DFsw0LBhXDaRxTu16nMEpoOpmS31/FdLhy5QMcNvLLZgH83akhFoLet/WmlBtrDHUUZGpc w++QUgNjqVpcClvgfmEi1bbN09xwzuC5xbPQGB3Ox9Tx+jknBFnkcnFFGWKB3+s1wkkpmO9SJqTP FuKU01t1ViIWgC6R+E2KHKu4u6R+xV1dQmIXoIVhsdqZccJ2x91j0T9EbwxipwUuFkquTYog6WpS N9fcyGw94LkqW+Gml8Wfc1QCboz5f+0YeZRMY5pOUsYsRMeqmNKuGkdvnk/ffvsdPXr/hC6GF8y3 wjmOjh7SHJwdqtHh0X3WRXev291Nmx1ociHdXqWJ4Dq6/S7NhmPqagEEBY5EIqB5HNHV5JpxqKfP n9HRYEDnr17TeDziKHNweEK9bg/dnNRrot0Gygzi7MJkwWnfJocV8d+kPGswDGKaNQLq9fL9nHbC i1RuZSS7tO78XaYp3CbDuykUFInylZaDSneVsX5Yo5EttjJTrBdTetYNKSlrbcJPuKugdsepqMsa A+4pTshSIJi3VbLp4Z2yRF8xJvsmwIjGhTmJogCL47/rSi8JsqhgAAAADklEQVSeC7DFoqzVNvYn 9UUKqer+89YAAAAASUVORK5CYII=