5000 150000000 20221208 14181400 20241204 09252800 editor:esri.dijit.metadata.editor 1.0 FGDC CSDGM Metadata FGDC false FALSE 20241204 09252800 002 SenateCA -1226953.438390 1771769.610084 7140097.712924 10599783.838485 1 Server=sql-svr; Service=sde:sqlserver:sql-svr; Database=GISData; User=gisowner; Version=sde.DEFAULT ArcSDE Connection Projected GCS_WGS_1984 WGS_1984_California_Teale_Albers_FtUS Linear Unit: Foot_US (0.304801) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS[&quot;WGS_1984_California_Teale_Albers_FtUS&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,-4000000.0],PARAMETER[&quot;Central_Meridian&quot;,-120.0],PARAMETER[&quot;Standard_Parallel_1&quot;,34.0],PARAMETER[&quot;Standard_Parallel_2&quot;,40.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;Esri&quot;,102599]]</WKT><XOrigin>-55477700</XOrigin><YOrigin>-19081800</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102599</WKID><LatestWKID>102599</LatestWKID></ProjectedCoordinateSystem> ExportFeatures "California_Senate_Districts2022 selection" I:\SDE_Connections\SDE-GISData\gisowner@GISData_db.sde\GISOWNER.Legislative\GISOWNER.Senate_2022 # NOT_USE_ALIAS "GEOID "GEOID" true true false 4 Text 0 0,First,#,California_Senate_Districts2022 selection,GEOID,0,4;SenateDistrictName "District Name" true true false 30 Text 0 0,First,#,California_Senate_Districts2022 selection,SenateDistrictName,0,30;SenateDistrictLabel "District Label" true true false 5 Text 0 0,First,#,California_Senate_Districts2022 selection,SenateDistrictLabel,0,5;SenateAreaSqMi "Area (Sq Miles)" true true false 8 Double 0 0,First,#,California_Senate_Districts2022 selection,SenateAreaSqMi,-1,-1;SHAPE_Length "SHAPE_Length" false true true 8 Double 0 0,First,#,California_Senate_Districts2022 selection,SHAPE_Length,-1,-1;SHAPE_Area "SHAPE_Area" false true true 8 Double 0 0,First,#,California_Senate_Districts2022 selection,SHAPE_Area,-1,-1" # UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><FeatureDataset>GISOWNER.Legislative</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e68384e774437595677306a6a675a58454a35564266554e2b4973723853522b76347167336674586f543146453d2a00;ENCRYPTED_PASSWORD=00022e686b5834666a56556a324a4b7a6677636f747a4544496e7a4c2b65486c54495539363542616d546b5a5a46633d2a00;SERVER=sql-svr;INSTANCE=sde:sqlserver:sql-svr;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=sql-svr;DATABASE=GISData;USER=gisowner;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.Senate_2022</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>Rep</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><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>Party</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><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>Loc</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><FeatureDataset>GISOWNER.Legislative</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e68384e774437595677306a6a675a58454a35564266554e2b4973723853522b76347167336674586f543146453d2a00;ENCRYPTED_PASSWORD=00022e686b5834666a56556a324a4b7a6677636f747a4544496e7a4c2b65486c54495539363542616d546b5a5a46633d2a00;SERVER=sql-svr;INSTANCE=sde:sqlserver:sql-svr;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=sql-svr;DATABASE=GISData;USER=gisowner;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.Senate_2022</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>Website</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><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>Contact</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><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>Capitaloffice</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><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>DistrictOffice</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><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>Counties</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMFeatureDatasetDataConnection xsi:type='typens:CIMFeatureDatasetDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><FeatureDataset>GISOWNER.Legislative</FeatureDataset><WorkspaceConnectionString>ENCRYPTED_PASSWORD_UTF8=00022e68384e774437595677306a6a675a58454a35564266554e2b4973723853522b76347167336674586f543146453d2a00;ENCRYPTED_PASSWORD=00022e686b5834666a56556a324a4b7a6677636f747a4544496e7a4c2b65486c54495539363542616d546b5a5a46633d2a00;SERVER=sql-svr;INSTANCE=sde:sqlserver:sql-svr;DBCLIENT=sqlserver;DB_CONNECTION_PROPERTIES=sql-svr;DATABASE=GISData;USER=gisowner;VERSION=sde.DEFAULT;AUTHENTICATION_MODE=DBMS</WorkspaceConnectionString><WorkspaceFactory>SDE</WorkspaceFactory><Dataset>GISOWNER.Senate_2022</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMFeatureDatasetDataConnection>" <operationSequence><workflow><AddField><field_name>Pic</field_name><field_type>TEXT</field_type><field_precision>0</field_precision><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> AddRelate GISOWNER.Senate_2022 GEOID GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv State_Legislative_Upper_Distric Relate1 ONE_TO_MANY ExportFeatures GISOWNER.Senate_2022 I:\SDE_Connections\SDE-GISData\gisowner@GISData_db.sde\GISOWNER.Legislative\GISOWNER.Senate_ACS2022 # NOT_USE_ALIAS "GEOID "GEOID" true true false 4 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.GEOID,0,3;SenateDistrictName "District Name" true true false 30 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.SenateDistrictName,0,29;SenateDistrictLabel "District Label" true true false 5 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.SenateDistrictLabel,0,4;SenateAreaSqMi "Area (Sq Miles)" true true false 8 Double 8 38,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.SenateAreaSqMi,-1,-1;Rep "Rep" true true false 255 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.Rep,0,254;Party "Party" true true false 255 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.Party,0,254;Loc "Loc" true true false 255 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.Loc,0,254;Website "Website" true true false 255 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.Website,0,254;Contact "Contact" true true false 255 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.Contact,0,254;Capitaloffice "Capitaloffice" true true false 255 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.Capitaloffice,0,254;DistrictOffice "DistrictOffice" true true false 255 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.DistrictOffice,0,254;Counties "Counties" true true false 255 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.Counties,0,254;Pic "Pic" true true false 255 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Senate_2022.Pic,0,254;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.OBJECTID,-1,-1;State_Legislative_Upper_Distric "State Legislative Upper District" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.State_Legislative_Upper_Distric,-1,-1;NAME "NAME" true true false 1073741822 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.NAME,0,1073741821;Year "Year" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.Year,-1,-1;Variable "Variable" true true false 1073741822 Text 0 0,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.Variable,0,1073741821;All_ "All" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.All_,-1,-1;American_Indian_or_Alaska_Nativ "American Indian or Alaska Native (NH)" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.American_Indian_or_Alaska_Nativ,-1,-1;Asian__NH_ "Asian (NH)" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.Asian__NH_,-1,-1;Black_or_African_American__NH_ "Black or African American (NH)" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.Black_or_African_American__NH_,-1,-1;Hispanic_or_Latino "Hispanic or Latino" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.Hispanic_or_Latino,-1,-1;Native_Hawaiian_or_other_Pacifi "Native Hawaiian or other Pacific Islander (NH)" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.Native_Hawaiian_or_other_Pacifi,-1,-1;Some_other_race__NH_ "Some other race (NH)" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.Some_other_race__NH_,-1,-1;Two_or_more_races__NH_ "Two or more races (NH)" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.Two_or_more_races__NH_,-1,-1;White__NH_ "White (NH)" true true false 4 Long 0 10,First,#,GISOWNER.Senate_2022,GISOWNER.Pop_3_State_Legislative_Upper_Districts_ACS5_csv.White__NH_,-1,-1" # dataset 1669747114404r346917860784971 2022-11-29 10:38:34.06 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAy wAAAMsABKGRa2wAAIABJREFUeJzsvQeUHed1JvhVfFUvp87d6EZoRCIRIABmAqREUaQoUbKybEvj sXa8tnd25/is58zZbI+PPWPNeM+MPd7d8ciWbVnZEiVRpihSzAEkCCLn2Gh0fjlW3HNvvdfdALqB biQS6PrIJoF+79Wr96rqq3vv/93vyl2dv+9WKgYkWYQoCvDhw4ePmwr38g/btj35FNkwLPQtieHh R1ahtzd1M3bPhw8fPqbgzsRYXvBkmQ4OHR7CT396ELlcFbIrAO0dMWzfvhobNvTO8EIfPnz4eH9Q r1tIvHQIL75wHAUiLOIxRZERiQaRSIbfp93y4cOHj0tRr5kIh7XJcpU8w3N8+PDh4wMJn7B8+PBx y8AnLB8+fNwy8AnLhw8ftwx8wvLhw8ctA5+wbnfw4ooA0zSRyRQxMVGArilYtKgdkiTyw5fT7QkC UCxXUa3WoGsagsEAMpk8JEFEOBKEoiioVOoYn8ihWq6hvSOFaCQE4TqKkB3XQa1aQ6lc5W2rqgpR FK/b9n3cOvAJ67aHi3d3H8UvfrEb+w6cQbVqQFEkdHYk8MXP78Cqlb3Q9cBlt/Dzn+/Cy6/uxUP3 r8XDD2/Cn/zptxAKBvGFz+5AKKzj2ed24blfvIuAquDRD2/Ex5+4F8GQdt0+QalUw4sv7cYPf/QG vvKVR3Hnhn6Egtdv+z5uHfiEdZvj6NFz+NHTb+LwkQG0tyfR19uG8fE8Xnl1H1zXxVf/+eNYsbwH AoVS/K8XGbmNuIv+OzScwYEDZ7ByeTdkWeLna4EAQiENg4PjeHf3MWRzJXzhc9uxckUPFFXiyOyC yO3iME5wIZBqmR6aDMZcfv+pd25ob2QJLS1x3HFHHxLxMEeGjYcm95ef7/3r4zaGT1i3OV597QDe 3X0cK1b04DO/cj/6FrVhdDQLURJg1OqwLBumaeHswCj2HziNbLbMr2tJR7B58womikl2aBAEpWMk 5Dt/fhzvvHsMx08MMVMosoiurjSnbvt3HsLZgXGYpo10KoL+ZV1MdITnf/kubMtGrW6iXjeRSkX4 fQ4eOI3FSzpxbnAcpWIV7e0JrF7di2Qiwu9HWSARIfWWHT02gIMHz/L+ioKAZDKMbdtWIZmIeoTm 47aET1i3OfbsPYW6YWLj+iW4a9MKvvBTyQh+7YsPo1isoKMjiYlMHq+8tg/PPrsLoiihbhhMYqIk 4p577rhge7StXzz/LiLhIGzbwcDAKDLZIqgatvu947hrcz/27j+Nn/9iF5MJEVwgoGDVqkX40ud3 oLMjje//4FWMjuXguC4/tqK/C52dKfz13zyHh3dsRC5fxomT5zma+sST9+BDj2ziSPHpH7+FFSsW QdNUvPTyXrz44l44LvWbWSiXq1ACMu7euhqxaOh9+7593Fj4hHVbQ2AyoQucCuSU9lGfqSTL6F/m RTuEg4dOI58vYXFfG+7etgYD50fxV//tObz33kmsXLHogi26jotcvgrXFdHWmoRtu9h/8CxHNR95 7C7IkoS/+dtf8Hs9+cRWdLQn8dIr+/Hz595FW0sMX/zCwygUazh+chhr1/Th7m0r0ZKOYXAoh4lM BeVyDY8/dhd2vn0UL760F2+/cxQP79iEas1EJleGYdgYH8ujkC9jyZIO3LlxGQbPT+Av/vIn/Fza X5+wbl/4hHWbQxJF2JbDP01Q7YpcOhzHgarKWNHfg5Z0nKOaAwfP4MSJIVi2jbphcRQ1G4hoiKgo EpJlGZs2LMe+fScwOlbEU5+4Gzse2ojFve3QtQB27z6G1988jM9+5iGuN3W0JfCpp+7DJz5+D4aG MvjO917h3z/22F24e8sqGHUL+/adQrVmTEtIPSxf3oMlSzpx4sQg9tP+nhriz1SrmXAus78+bn34 hHVbw0VbewKnzoxgfCLP9SpVllCsVPGNv3sOp06N4jOfeYBTqh/88DXsfOcYehe1IJWK8qu54ZSK RrNunQrk9HijeO4CpmXzHwKqPFlLotSS5A+WZfFz6FWxWIglElwln1Ypp2K+JEn8mtmkC3v2nsCP f/oWdu85ie6uFBLxCP+eZRqX2V8ftz58wrrNsf3BdTh5cgjPv7AbiiJi9apFOHlqCN/9wRtIJYJM NSdPjeD4iWGsWtmDf/6VR3HoyFm89MqBC9bgJnGZZThy/Vi2pBNBTcF7u0/gzg3L+PcHDp5FsVTF /fetmSQxSZZmJKTmOzbkYzO+5cGDAzh5ilLKXl6ZPHbsHMsqfLK6/eET1m2OLZtXsIzhhRffw4+e foMv7Gq1jlBI4XSsp6cVExNFRCM6jhwdxDf+7gVIMkkJRJTLFdTrxhRluG5DguA0ZA/NH4fWDpmM WlsT+PjH78FLL+/B//P/PcPpIBX371jTi489vo1JrSlYmAqG6Df25Laav7lQXNEkMxfplihbjhw8 dBbf/IdfwnFsRCI6isUyLxb4uH3hE9ZtjlQyioe3b0B7WwLHTw5xUVsLKOjpacHdW1chmYxizZo+ PPWJe3HgwGkIkohlSzpYhkAF80QijI0blnJ0tnbNYmiawrUnSt3a2uKIRnV89CN3ca2M9FKyJOJj T2xDW2scp04PswFbS0sU69cu4doTPe+jj21h6uld1Mr7SOLTTRuX4Te+8mGWRdB2li7pYIILR3Re NFi/djF+/Us7sGxpJ/+diO/QoTOcPvZ0pbH2jsWcylKq6eP2hU9YtzkoNiEpQUdHCg/cb7FkQZFl aFpgUtxJJEFSh7u3reJCfGtLgqMw+jOp4JPJCNas6YWqKtBUFZ/+1IMsY9CDGhzHRXtbkkMmIiuK gpb0tTOJZLMlGKaFSFhDNBr2wioXTET0x0BA5X0MhzRs3rQCa9YsRiSsc7q4dEknurtauI6mayo2 rF+KFSu6EdR1JqvOjhTuvXs1F9vTqRhqteb++gr42xk+YS0ANBMqIhz6mfz99GK3FuCfJkIhffLP tAJIEVUT0ciUM60kebWrqffy5Ob0Gk90esmOsIZrOqiWdfH7X7yvgUCAf5qgVFO/YH8v3KaP2xM+ Yfnw4eOWgU9Y7yu8HKlZfJ5xeMhlXz7Na2GyIe/6dNNd9T5dlze/aH2y+REv89maK4SUIt4UNHsZ m/2QfhfjTYFPWNObZ28y6OIibVKlWuO/U71IVZT5bAHFQhk2CUADCgKqykXtawX16pXKNd6/IO2T SqfJzdE3mZaJWs3g2phHQl5TtixKXGyfaXYm7WexXGFxbECR+bugYvyNBAlqK+Uaf/fUXkROFb7l zY3HgiasN948iB/95A1Ypo2Hd2zAw9s3XlA3udGgvjxShv/N3z/PdPDFzz+MbVtWzvn19Jqv/dn3 MXBuHNsfXM99eLSyN58N5HIlHDk6wHYttNJGzcrnh8bx7//D91iO8OVf+zDuu3ctZOnmENbevSfx gx+9jsHBiQv2k3iK6mj9Szvw4EPr2RUi2Ciwk8brP/+XH+H0qRHcc/dqXhUlucZc0FR9lcoV7Hzn MC9QNJu0L4eRkSz+3//6DDeNf+RDm/Hgg+t5ZXTucFEsVfD66wewalUvFvW0zeO1CxcLlrDo7j0y msPOt4+wY0B/f9dl21BuBGhVi1bSSLlNAd5jj26ZTBPnin0HTuPw4UH09bajViXN1Nxx+swwfvrM ThaS3nfPGiYsilbIkG/P3pPIZAp4/KNbvTSLlxRvfBRK77lnzykcO36eJRS6rnC0Ra1ERKYHDp3B yTMj3BRN+0wrjaTgP3JkAAcOnEVXVwqVan3Ou0vHYHyigG9/9yW8t/cEnnryPqxYTv2Tl38xtQwd PHQGh4+ewx2r+xp6tbmB9ndoeAL/8K1f4tDhAfzmbzzmE9YcsWAJ60LML3ogYqNUgC4KkgjMBrrQ ScgosEbJW/KfDnptX18bPs/9dQKWLG6/6EKZ6vmTFZllA5fu62VaZ7hn0OQ/k7bp4jTp1KnzeP6F 91AoVLDujiX8O7KdIW3W5z7zEF/4K/q7G2mYe5Upr83/p5XE+SjRSYRK2q177iGphYt6zcLA+THs 3HmYLXNCwQBHNHeQNiyg4rFH72JjP1Lykwxj+t7S90ffA6Vs9D1MT91sx2XyeObZdzhq2v7Qxkt3 pvHx6biTw4QkCYjHgizP2Lo1j02bliMauXSV0rQsTlMValOa9p4k9aDI7Ec/fguGaXL6PdN9iiJw +u48fduNTXFvFfiENUfQtUa1lTNnR9kdgOxMaOmevJ56e9uQTkUhCOLkCTk2lsOZMyOYyBSZKLo6 k1zroJOTTl6KBFLJGBLJCDY2WlhIC0Wo1Q32rDo7MMbGeOQdpekq+0J1d6XZiE9svNeFO+md86RJ OnVqmCNISuso0qC+vdaWGLq7WxCPhzA8nMV7e0/x9knceeLkENvD9PW183NpnyzTZGlCNlvEefKo KteRSoXZ6cHrMwTGxvNs4ke6rdaWOJYu6WJL43Pnxvj3tH266OKxMDo6k+jtaZuTXxV9Z3fe2Y9/ 8dUneEGBSOfMwDD+HC5eef0gdu0+geX9PVizuo8dVMk5lXRbJGaluhu5ShSKZZw6PcLHggSztE3S eVHaTHY2ejDAj7218wjyOU8lf/zEIEdaXR1Jrt3t2XeS7Z7bWuIYHy8iXyijvT3ORohrVveit1Lj YxLQvFICbWMiU+BjP54pcFRI6TaRK+1fOKxjaGiCnSXo+6S+Smo47+xM8uNUxzx/fgLnBsfYZodI knRoJADu6kyhvSM5U8PUgoFPWHME2agcOHQa3/z2i3j77aNsMEcndFtbAk998l488ZGt7FpAUQRd rD/7p7fxo6dfx/BIFsGghnVre9mh8+TpUVZjf+GzD+LB+9djz54T+JM//Q6zze/9T5/Ghx6+E+cG xvDDp1/FT555mx0ThAYJ0gn7+GNbWJV+icapAUpNKD2i+gqZ6xFZUYRCJncrVnThVz55Px55eCNe e30fnnmGooocE8pPfvoWRoYz+O9+83FWnv9v/+c3kMsW8G9+//NobY3je99/mZuNN2/uxx/871/m C4te9/bOw/jmt3/JNjYff3wbln61E8PDE/ju91/G8798D6OjOY5oqPXn/vvW4su/+gg6O9MXaLdm Q7OtmlbgiCCX9Hbgwx+6E6dOj+LQ4XNMshSBUgr753/5Y77wH39sMz79yQeY1N9+5wj+9u+ex8HD Z6HKMkzb5qj2rs0r8MlP3sv2Nnv3n8Rff+MXyGRLHD1R+xJ9D5966h7E4xH8q9/7Sz7Od9+9hl0s Tp8exvaH1uNLX9iB//s//RBHjg3ii5/fjqc+fh8fn8Hz4+wXRs3k54cmIEkyf4Z1a71ugnVrF2PX u0fx93//PLtLCIKLv//mC0xiv/LU/azW/+a3X8Czz73LzhPctGTZ6O5O44mPbsGnPnk/YiTCXaDw CWsOoAue7qxf+4/fw/4DA+hoT/AJSN5MVAP70699F/FIEA89uAGqIuHnz+3C17/xHDsXLOvv5Ofu 23sau3afRLlcx9o7+mBZdBlSyuSgWKI7rVfbKJUqeHPnIfzN377A/XFPPnE3X+xEPnSRPvPsLkSi Oj7/2R0z7uvg4Bh+8KPX8PJrh9CaDmPz5uVe7efAWby96zgs28Fddy3nKIoU6JIscjRCLTDUhiMr En/eUrHGvlWGaXMEuay/G//03G68tfMo15mIEOh5hw97taOlyzpx15YVfJH916//DD979l3en/Xr lnDf3779p/G9H7wGo17Db//2J7i4Pe8sU3CxuK+TL1i6iPOFCiayBU4JK5Uae7/XahaneVRf+s53 X8Gefaf5+99613JksmW88eYhvPjyHogS0N2ZhKYqiCd0Pr6uTaLYIJLxMK/6UXTDx0Y08E8/fxeJ eIgjoa6uJGLxCEoVg7+jet32IrpCGc89vwt//l9+wi4WRIjUW7lv32n+7unmQSuwtNoZi4dRqmT5 Y8XjQcRjIS7CU43um99+Ca2pOB5/fAuCIR3vvncMBw+ewY+feZvdN554bNv7Izf5AMAnrDmAopZf PP8Ozg5kOPX7Z19+FI9+eBNGRrP44dNv4L/99XP40Y/f5HoKpWCHDp/lO/+G9YvxR3/wFSSiIYxn 8vi3f/ItvPb6oYvih+n2w+A0YJiiHrL9TUVw372rsHplL0cWVCSnSGn58m5PdyVcetZS9Hb3lhWI h4PYsm0lVizvhhpQ8Vdff5YdPetVC/l8GY88vAnlUg1f/9sX+E7/uU/fjy9+YQenTWfODE/tlgC0 tMSwYnkXOjoSyOereOnVfXj8sW0YODfCBXBKmRb3trB53rmhcbzy6kHkcyX8i998HJ/6xL2cLr31 zlH8/r/5K/zTc+/ik089wP5bl6v/zQyB0z1KAQlki1Ot1Jmwpn+H/D3myjg/lOE0nNqKPvKRLZxW bX9oLafpi3paub+yvS2Ff/m7n8Qf/fG3ecX0S1/cgc9++kHeBpEewbGBD+1Yi8999iHuZaT9JjPB KbBnDvYfPM0WPbKsYNuWfvzB//HrXH96ldxcn3t3spZ397bV7Df2h3/0HY6wfvu3nsSHH7kTA+fG 8NqbhzgibW2N4t57VmH16j48+qGNOHt2pJH6LlrQii+fsOYAb3VqgGtYmhbE8eODnKJQKpLLFvlE PHRogOsklAKOk/tBNIjl/d3oaE9xzUYLBrih+OChc95GZylDkFsm1TuImM6dm8Cf/PvvIpWOoqsj xRfLhg1L+a49Y3jiAolYBFu3rEZ3dxtHW7QKePrMKHa9e9wr4LsOR3K0uqYHdd43qgdTD14kEoRp XOp2QLbJPd2t2LZ1FZ7+yVt44Zd7OZ3du/c0zpwZ5V7EOzcu54907Pg5jnSI+Cgleu2NA0xo5NOu qhIqFZNrc/RZYrH5pTYUtdCFTvUs/goF8nmnKtCl3wVFi5SinTw9gp8+8w7e3nkEnV1pdHYkOS1r b01C13RY5PQQCk761IeCOrcOTV/1o5oR1fT6l3ZxKk7vdiFheaAbzfnBCUTDOtatW8opJe3jvfes xerVizkipUhKURWEQ+QAS3INgeta4XCQCbWnO82f7/ipYfy7r30PLa1x7ptcvsw79ul0oiESXpi0 5RPWRQZyM4FOoFy2xCkCrai9vesojh47B7shAaBUgVIMepzGaNGKFN2FqR+vWWCmOy1dDJRq0AUw 04IZ7QalT3dtXo5f/cIOvPL6fq6ZEOEcjZznMV2HjgzgkR0bOcK7hPUEoFAkPdERPPNPb2NsvMBG elQ7oxo9p39U5p38vLOtOF66c9Q8vW3LCvzkpzuxb/8pnDx1nqfl0EQdsjnevKnfS51zJTi2y3+m oRbDIxl+PREAFZ/p81drdV5Bmz9cXgCgRQnaRZI9xKLBGQ/fsmWdbJ8jSAL27zvNVjTkoRVPRLBv /xmcPj3Kj1P0eGGMOwMEarCOci2SCOjSZ3lxHUWqJHegtDoaDU2uitKf6acJXhWcAZQmbtuyCl/6 /HZOXYnYT58d5RvJ/v2ncfjIOTz2aBkPPLBuofKVT1gXHnemksm/8Z2bMq+GYwCdgJRyUV1myeIO Jii6eGhliE4qWn2ipXESn9Lvs43oi15H9SxaMSOCS6VmOhTe+9KdnrazY/s6tLTGOG2j1T5aBj92 fIgHL0iCwIVfuving4jozMAovvWdl7Dr3WP8nA3rl6GnO4UXXtzDxOf5UDXkksJszH3xjC5qWNY5 Klq2rIO1Qz97dif2HzjDpEGRI6VY3opWgL8vilZI3En1Ou/zW5ymxWJBru00RZ+zw6vxed5ZXhTl ug4OHDzN/l1U36PFgEgkhEKxesmrqRZFEgfDMLB183KMjhU4hT9y5BwX5+mYLV3Sjh07NjbF9JPv OZNroaeen2110/vuVFLZqwrr+shzvvlVZrMFHD16HqVSFT09aXR1pi/47um40RZo1ZmGgjyyYwNH Wrl8BaNjeb5pkcniiy/tZUkFE9YChR9hsV7G5mV+OpGp5jEFlwukJANY3t+FF185wDWI1at6WVVO 8oG9+0/h/PkM+zdRJENpCMkHKAqhKOzNtw7xhUVL/DQbsNi4uKbT4nTQatvBg6eZFGh7n3zqXpYM vLPrKP7xR2/gvT0nmcCoeH7x+FMiR1qVo/SPJBb337sGj+zYxJYyb751mAmFL8mGPpZIhciEUkUi 0/HxHF90l969vVW6dDqGhx5cyxffL1/ci1LZ4Gk8RAyUYlJkSQV60kjRpOhFi1qxY/sG/hzkjfXW 20d5JZUIWbvC8NbmZ6Hvkfr1KBWkidO/fGkvT9yh75uI74LVxkmfQZff782dh/kGQYMqujvTGBrJ 4Hs/eIVrVXQchkao6O2RKx0Q+k6phjg2lmdimA6OrK6gI6PjTnUx8pnfd+AUTpw6j3BIx+7dR/Hz X7zHCwOPPLyBU2j+7mniD32ubJFNFunxY8cHcfz4edaSbX9oA2uxXnv9AKf2R44OsqRmvuLi2wkL lrCadQ+6e1MaR2keaYouuIu64FWhpz5+D8+8+9nPd/EJRdEKRQxEJM/87B02xnvio5tYw0Q/a1Yv 4gjn6LHz+E9/8TRWrurBiWODfKecrLfM4j2czRS47vP9f3zD8zwXBNbn0Aw/uhVThNLd09Lo72u+ bKofklJRioYo6jh4eACJRBRnzw4zGdNzKb0lMqE/k3yBUlW68+/ddxIvvpzifaf8UZilvnb/vXfg H771ErK5CiRRYFtliqQIRB7kY3XHmkV4483DePmVfVxUpmEVpHV69he7sbSPivM9SCQinjfNZWQk 7+05wX2WlMYadRMnjp/H6Hiev4P77l2NTZv6Zz62rovjJ87jO997GUPDWdx7z2o8/pG7OIIh0qaU jeYYkh88cRARKgkzqVa5Z89JtKajTIgXb/NyDc70yJIl7Vi/bjGnnzt3HsG3v/MS2tviePX1g3wD 6u1pmRSuUrmARLqVmsUrzbqmsLiYXveTZ97hGhytQpOcgSI2Ok+j0SBPClqoZLWgCYugyBKbx1Hd hyIs+rkQAvqXduKxD2/G2nVL8PGPbcUPfvgG3tl1DG/tPMwmdqqqYvmyDnzhcw/z2CuqGT34wHpu uaGVw6PHh9gvfeXyTvR0t/AcvcaQZd4+rfxQ0ZWSHjqZFy/uxCMP34kTp4bx3p7T+Np/+AFcsiAW BI5+SJLw5ONbodDFTqQT1Fj2QC6ipISn9I/SSZIgUERGuiIiMEplF/EFI2NsIs+v7ettQXtrnHVf u987ycr2SPhDPOmGZA6GZfF7NqcxUxS1dHEX1q/tw/6DAwgGVaxc2cPFbP40gjeD8Cu//mGOFqjm 9vW/eY7fi4rw3e0p/MZXHuMC/mzNyXTREoHQD6VD9NPYOF/oJNokR9PHP7IVne0pL2UUSBhLo8w0 XpGk73HTxn585lP34+t//RxefeUQXnl5Hz/XW4GLsVnhPdvWsIiXjgttlyIdIg+SFzz18buxuK+9 4d0l8Dang8iaIslIOAQtIIMCMlro2PHQehbZvvzqAZZxENHRe6bTFDGtw/YHNyCgKJxCk8jVGc5y tEoR36eeuhdPfuxuvgEeOzaCr/3ZDyZLChTpb75zKbu9Ltz4aoET1po1i/DV33wUlcpsfWC0qhNE Z1eSV2Y++5kdPA2Z7vwDA+N8V+7ra8X9993BqQ6tplGIT+02X/3q4/joR7fwiiLVt6jN5O9IIDic 5SiOohFaNSO5wO/+1hNMCatX9vBjd27sxx//29/Au7uO4tDRc6iUyYNd42iGvNHbaJWQZQ3Ar/3q Q5zi0NgrkkHQ6tP/+D98Cpvv7GeiDIUD2Hzn8oa6fQKZXJH1R3SR9/V04Hd/+2McDVKNh+7m9B7R SAi/81uPc1RHEQNFAk1Q1Pc7//3HWLRJd/xVK3q5pjZZyBcErF+7FH/4f30Zu3efwNFjg5wqkm5r 65YVHIESac6G5cu78M++vIPlE5O0Tm4NssyrpTSSjKbkcOraaBgk4qD2pkymxMeDan+krP+VTz6A bVtX4vW3DmF02CM+kmZQDbK/v5tJgBCJhvBvfv+zfBOidJDqTJTqUkT5P//eU3we0HGann5Sh8Ov f2k71+VIZkIrgoS1a5fgX//rFjy+7zh27yF5i4H21hinpcuWdrPglj4WRV5/9Idf5kiUFnKoNkjK +a6ONP7zn/0O3njzAE6cHEG5WmO9HB2X9XcsQTIVW7BktbAJywW6OluQTsVZ4Tzbk+gOTCc2XzSS iMV9HehoS3k9goLAfWJ0wdBdlP4+MDDCbgNvvnkYi3vb8OSTW7Fh3TIuwp87P85ix2XLupBOeyPV 29ooIvJO9qaeiNpuErEw7rn7DmzatMJTqote9EKRFNWnms6ed2+9g9M8GqNFaSLtA6UTD++4E/ff Z3kWwzqNzqJ2oBYWLlJk2az6LlvWje6uVpY6ULRHz6XPsn37RiYhWmzgNqDGV0Tb6e9fhN7eDv5u qMh8wddHESTVu1JxVrZvuWvlZD8ckd2VtFdtrWnEYzHu1bxYo0bboPdrpu1N7yv63dYtqzjdI1Kh Y0KvoOPW19uB1pYkfz40tkG/Z1eOadk5CVLb21Pe99B4Dg+HfXQrP4e/w2n9gJTS3b1t7eRsxyaZ kUyBjt2Wzaux7o5+PrcU2XNUnZ7G082NWovouyexLT1G7Vc03ozkHg88sB7btlEfKZ2DjWOveQs/ C5mxFi5hNWouc2kRmQ5eCZrlNUQi1O9HnkwkAiTbl7OD42hvTaBUrnJnP62qLe/vYN9zSrXoAlbC l27Pq3N4qdHlMN3KuAm6sCiqm+nzXgxaabx4tXEmG+MmOO2b5TUX7IM0t/2/GBRJXS4Cm22fSHIw 0+/pM8diV94eEcYkoUwDRZszoXl8ZnuM9memfZqO2b5HuslQsR7+PI1LsKAJ67rDBS+zP3D/Wl55 pHYUEpEeP3meLx6qh9H0l4ceXMdpiA8fPuYHn7CuM+juSrKHVDrG6ujx8QKv8lCa0pKOTo7PWsgd 9z55Nvh1AAAgAElEQVR8XC18wroBoJSGxIEsEGx6fk/v+1vANQgfPq4FPmHdKFw8OMEnKR8+rhk+ Yfnw4eOWgU9YPnz4uGUg+5mKDx8+bhXIXAtuNKjPY0aADx8+fFwTPCeOqf9P/z2av5vueCS4Xkp4 9swEfvD9d/DO26eubQ98+PDhY87wqOliwpqC0BjhNoRikQb7AjLpg8bHy3jrreNsELYQQW4AzXaJ oCazAyd3ffA8vin/qFlePL8pYZPuCi4sx0Wt7iCkSWywd+FzyP/J65Sez3is9wPUWkLWLNTCIyvX Pnl6Xmh4SV1wN/YxiWymjMxEAapsobtjykr6g4SZylLNQ0kdWsNjNdSrde6flUOhAJIpDdsfXYnF S1ML76A3UmLHFdkqtyMVhKp6gxma/lHTe+9meu1F1uyXfS+hcRDqloNK3Ual5qAjqUKSp5kHspWJ A9smV06R21wEiDP56n0gQNbR1EAuyyqi0Zt8UTQsc3jW4EI7d68EF9j51insfOMAUpE8Pvtk2rs5 30IwDAc73ythaHicJ0jJ3BMV0bCoN4nlK+Y23vt2g+MIqJkC1ixOIx4N0JfCxED+SDTokvr/JPKI mmkW4BzRJBpyzawaDiZyJgolEysXh7m5tUlWU+7FnsOmbXn2Itx423QKJUJrdhzznxsvaTJiU6zK g1GnXndj4LItTaFchyIHkIqTMd/NuyiY2mnQrCQt2EkyM8PlQSaUPZ06dgbt8TrWryYPfTqf8IHC 5PnbvF83/kvXBGUg4xkLiuI9KHuTV6bb4y68o87jl0xqOFUnyYpA7gXkPGmaJgyeeKIycVzdAfdc M/MlC4Uy+UyJk2TF+zBJNs2dogPopVg00JRcFjiKcBxY1Rqsmudrbk7kYdN056aNaPPdaPio4CK6 rBfSFZpwrxWNDHZaBHhzzyEi9NkdNxYw3Gaq3FxZ8/LnD+pXdeF+eR5sF89ckC8eWbnw4A2EUBQH mVwVLYkQZHmKkYgkiKgooqmbJpuvzWVy8UwYz5v8DbckAggoYiOymvatGxaqoxkYhTLkWBByw27G LFRglioQyGokoEIkqxPF6/LXO9IQ5CmTvaY/OdmSlE/d5Jrk+3T6NE3ufNz+8IWj7FdOtjFAtlhH PKpdYm/Co6RcgV0+vdqSd4FwxDNHFMombEdAWJegOSas0SIMHiXlctFaFL1gVwwo0FuTnve6aTP5 BKJhiA27ZFlVIZILaOO96fnNP+OCFWAXcjiI2sgEJJrlFwtDuuLgh2vD+0EZk6mxjwUBn7CmkVK5 asN2pi6C6XdttjVuLkWx0SUV5e1ZrX5nIiypXAEqNkyq4dMSLXtZ0VAIl1M4QRIhhXTIwQAc04Jj eqZzEhm3NVI+qkmxod5l0FwHCKTjsGt1WIUKRIoMbzBh3Wywz7ofXS0o+IQ1DabpNFYGJfZrvxhE YJ6HuPcY1U1oOd92mitUnjsk/ZGIj1hJbdgLBxQJhmnxSocUCUCPhxqE1YDjFUlpMZD4UqT5hRT2 MT8KEOzGxTnXI0sOqeEglHCQLZbdhuPmjcL7Gef46eDCgU9YF8BCoVSHSha5AekScqAUkKcOc0Gc hQYwLBelmguiA1FwEVC8FT+TVvdEF2qQnuUiFVcx5sSY4BBSIIeUCy/yRvH9EnOHRrhEaShPo5rz SqW3PZuHdrocvd1o3GzS8olq4cEnrEm4UFQbAyN52JaDtnQIeoAGHUw9g+UFvHzuXZqUmlFQVKfR WYYDVRZ5GjT9QwGN2lAU0NMp0GpJ6pjI1lCt03h0dc6XuDeanUUK8zq4tOuls0MQJQlyY0jCDcF0 PdpNwkxpu4/bHz5hTQMlfKpi49xYAabtoqcjCk2V2Hxvuv/e9IuESliK5EIPUjonQJc9ByxSHTSD piYouHJIAsrL/3OPR5oFfrpIJ0WSl3t+c+1RAMrFHKI9XVx0v13AMgbH4ZFp8kUDT33c3vAJCzON JbcxkS+gVKmjPR1BZ2twmvDzwju7LAKpsAzLsiBJ3pQdnthCPhiN4ry3VQHeaDsXNhXZG5HXXEDv RdNeqMhPdbOZ6arR7mObyJezGMsNsu4rmQ4Dhgm7UIZ0i/vIN6cvk6DWXxtcmPAJawYwIYgOakYd Y1kRbSndG2feLLxftDolsR6hoXzj3/Pw5IvgKXebuqv5XHDeezU3P9vKmJeTVetV5EoT6GpZzL9S TQHIU9H9QmHp9cTNEIs2P6+3OstLuReM3fKxMOAT1izgBmi4qNYNnD6XR193bJK0Zn6+yBHQ5ZfZ pyWC7tUrunlW3QypkGnVUakXuQcxoseYwMyRLASaNXhD1e6Nz3WDw55mStycpuzXrxYefMK6DESR LhAL4/kSdF3hojkNU53pQpnrxUNDNS3LgWHYPPl57mjWsWYWSxarBVTrJU6XEuHUZAXcqRqQExGI 2uXnCF4LKHakRPVG1ZMu/m59slq48AnrMqDLRBKJHGj1sMCrhpEw9RPO4t7DugMv3phtjBe1/dAK omHOl7C8qcIOSRyo2twAp0iujVxpHJZlIh1vR0ibKrC7tsOq9xvZeEVOF5QDK9Namm4kWflYuPAJ aw4gUjAtA6OZMmRZREj3RsJfDO7nm2w4nWlLAgzTkzzMd7pxY09YFe/JHLztlWo5TgEpsgrrES8V nM5OJIQ1LCYuzKLFmq29Zb4plyi511WSMP1xvwXHB8EnrDmArhtNBSbyFQR1BaoSZOW6O1sda9aL cWqFkDy3pgVKV96HxkVOOi/ahlfHcXFy8DD0QBgt8XbogSDqZhWqrDT8syTI7UnY+TKQL0NKhhvC sKntNmtCU6uZHtmyA1ejTjT5WKN2NCPI0qZha3M50DZoRZW2M1tqN7UaOM1Gx4cPn7DmDrJqkRUb w+NlqLLMK4fzB+mHXOTLNuqWOT+lZSNqstn7SUCL5CIYEBEPJREMhlGuF3Dw9LsoVQtY1rMG6WgH YsEo5IjGr3EqNSBTgpSMTPZBEmYjjuYCwnTSoOeQP1hzt8kjbJLAruTM2vwYggBFUWZdoJhse5qM In34mIIfYc0RnnDUhWHbsCe9py6tDHH7DkdBzgzL7uReCoQ1AdGwiMA8alhNWYPtAtW6g9GciaRu QXIVDA2fgywrWNS6jJuji5U8RrPnENZXQhJliBHdI6mqASdbghDxHCkut6LZbEOaviLHZNN8Pv19 2uciSaz3c32kCz4+2DhwpI6z5w0kEjJWLdMRD9PCy40/bj5hzROuY6FWN1EzHfa0mvGi8wzhZ3x9 JKjAdUxUKiaiobl//fXxCZjFMoyqgXLdRU0OoljPQhQtRAMByMEwYqEUdF1HQNUxkjk3NX2EXCDC GhzbhlUoQ1VlKqJdNiK62D6n+dzZXtN4dM6fZzblvk9WtwIEvHeoiudeLiIQELBtYxBf+Uz6pnST +oQ1T1ArTrlqolQ2EIjPrG263Ioc1b5kyUaNvLDmEUnYdRNmpgCjWOLaVDQlwcnnISsSp4VKKIFA IMiRVlALoVovYyw7hHSsDYqswiU5RjAAyXFg50oQZbHhBnF50poTWGohXFV7zfS/+2R1q0Bg2+Lj p+sIBEQs6Zl7X+y1wies+X5hEkkSLG5gvhy8FcOZUy52kSEbmob/+lxCaUMJworEEdA1hFQFYliH rbR7bqmxCNRQmF1I2ZpGkLgAP1EYQSychCzR7102+xNlCeZEAWamiGIgCE1XuF9yJiHq3DF9eJzn W99s1p7p80+viTV/fNxKcNGSlJFKyCiVvVXvUsVFSKdjeWOJyyeseYLohVbpLuch3owWKIK41OCv MVzCsGAVK9wyI0V0CFcwAiyLOsS0jlhEBmWi1CeotrXyYkDDimuS9lQ5gN62fhwbPNiQPEwjCPLZ SsUwfmwEI4KAthYiPM+F4qrRcNhurgCSbs11bdZmSaLC49MuRpPMm+mgH13dSnDRvziA5UsCeOPd CvYequKlN8vo7pChqXRMG4H7dKcTuOjpDLCz77XAJ6x5HyqBnRxMy5m1gXn6knyzRkMpE60QOmyx 7MCqVFHIFWDlSkhs6Kd5a1dIz1y2r2FxJl3sjbFWM93QyPYmoAZRKOdRqOQ4JZSlABxXQN2k8WIu hrQINNKUBVVOK68V9D04jo1SqYyARhEdRaDkfqEjENAvIKnpUZVPVLcmJFFAJCwjGJRw+ISJ//VP B9HZpiIVk6HrNJqu0U/LpQK6amz8L/+yB23pa5Mw+4R1lQer6fM+25ffXFnz5AMuTEfAYKaOYsVk 0km1xRELJlEfHGd7ZBZlXSYto4ebGimXJudYNqd6M4HJ0nLQ274UQ2On+UYnymmMFx3UDZtTwLV9 UZwdqvBJdZkWyTmDh3TUDZRKRVQqjaZwSUYkokBVp4jKx+2Bwyfq2LWngrFRsyGDEXDuvI3BYevC m2hz7Jxgolqzr5lyfMKaJyhKCWoKQrpyxTtF0/DPdmxkihbiIRntcRolRnMGSdrpQolHYJbKEGi4 xGVcQYnk6HXUKUSHfbZLn32iSKulKOhK96Et2YmxbBZGpYzWSALRkMQERbU4dplgw8Fr9N5rOLBq WgChUAcs24BjmzxYVVG024KopkfM0wW0zcWDZnp7O3zWucCd9o9Xt2JjcO97uuCJzVma5LBx7dO5 fMKaJwwLCOsyr/bNBc0TuFi1mXQU0Z2K0MgPvlyFFApc0cKYSKZq2DAsIiQX9PYBbXZTLRaEQoQi KaRggKpISIQVkKKhqcTn0jh3U18bY/Ep2riISRQq8izH5kV9e1zA2WwWtVqNa3QUNTcFsDSzkm5K RFrhcBixWOwq265uLWxZH0QqTkV354qH2DtDHaQSPIDumt739v9mrzNMi6ITcUYN1mzg6doaGfA5 sGxyHKU7NXVAW6icOo/Ihv4rEpYiiSxGJaIjpXvNsDGe99LNWFCEKjfnEgreMItGgY0cTgUxMFn/ clwHNQvI5k2ug9GMxSsFBd7Mw2Z7DpCvEnF6s1tNx4FRt+D1PXt3UB4AK9FS9+0TcQQCAT6ORFjN xRT68RYZvBsAPWehoLdLQXurTHN9p25KHDxNHwjcPPbeuRMiV95rhE9Y8wS5N5iWxfYwNKhiLqAi eDKiIFcyQJO7AmpDc8S1JstbIbzCha2rHuEQWTHh2RavVlLkRpIEzRGY0Ki52rTJX97raSQoogBN 8d6zZrqYKJigERuxsHJ54hUElGtTCwwEIqmK6XJ6SnRIn4EGbpjcGNlcjSQiJMK6PciKEAwG+f/N lLC5qtpMFReai4SqCvxDdVySFI6MG8jmbFRqDpJxiQvw9JVUqjZaU1cun8wVPmHNEzSXolozec4g Wc3MNYDQFQnjNniFkQiMfOJdWYTaloRjmt5Yr8tEWbRczIvDjeZnmqtKF03ddnibXu2KplO7qFsO 9MbJROQWD0n8+prhIFeisfcOulv1Wflk+vzFYtVhVT8RXnMWPZFnVGeHQ/7dGFxkizQUltCw1plc 17492mwm3WUvkn/cLhHk1aBWdzE8ZuHw8ToOHa9icMhEvuRg0zodD24VeYFn76EKNq8PY8VilVcO rxU+Yc0TkuyN3CKS8DDXi7Kh3/KCEu9E52k2URiZAm9CDKicplHxnSymDLPOxCaCjrQXwYgSjaWX +PWq4qIlIk26PlDaSHe1OtXZAmpDwOnBslzkSxaKZQv9PSShmG0/vQfo83nlLQcRXUAqLF3weVml zlODBG7Cduzp9aoLUwF/2OntB9sGTp8z8dPnC3j653kmqma3QzopY3SpiWOn6vjr72Xw7v4q/tVv tqOzjbo8ru19fcKaL2iVzrZ42MPMwtBZXsapPa0LevUgikJo/JbWmUL13Biq50bguDYPV1XiUZia gDNDR7jarqlB9uOiVCsRSSMRTsOyDNj0epWSu6lGZGrMDkjeoIbpoDFkVOzvaaVVu1k/Gv+HlMsZ cpQwPf+toOKNlZ3u3e6lQZ5anz4P1caamqpmy83kdJvGKhp9Vws5IrmdMJGz8bMXC/jW01mWNChU WnAdrvHSES6UbOQKNioV4O3dNXzjexP4rV9LIRW/NsbyCWue8C5cF5WajWLZRjzWTI0uj+FcHST4 1gM0ar4hmmz8R2tPQWtL8tKvkS1ifHAAGamIvsWrEVB0dl9QVa/oWyzncOzcAUiihJ72fuhojLuf 3L/mUvOFvXnsUiqQW0QzEpp6jP5mke1NxcF4weYVyXRMga6Sal4AmUpc/BFZrtFYLatUKhgcHEYp KyEU0ng1jfaV6j70eLlc5tW0UCiEVCoFTdMWXM3ndsOuvRXs3l/jW++iLhmffCwOxxLwDz/J8rkS CQno65bR2y3jzDkTz7+Sx+c+kUQi5pUprhY+Yc0TFPWSRYxhGpjIV5GIqnPqBSSFOemwgjNYykzV riQuwEdDCUSTXQhqEe4LVJQEvzHdyfSAiu7WGEo1A0fOnkJ/Vx+Cmj5Jgo3B9jMoyKf17lyEUt1F rmxzutqTpoZoF6rkRW3NBceZ0NQdqaqCWDSGeFhGOKwzOXm/p7TUZYKiKMswDP6dT1a3OgQMDBkY HK6jp1PBZ56I45H7Qjh0rA6V1lrgIhqVsXp5kBv1/91fDCFfFjA2ZqKrVYJOcpyrhE9Y8wWlQgLJ G6gB2pxM765EWhTBUEp4PuOt7nWnFNZSeT14jSc1RtGrSgCqFmm4hgowLJkL5qz9kclTXoUrOpBV FwNj59CeSCNKZn2S3NBYzfD+Nnl5NVK1xpDV5vsSmRLhxSMiF+u91PXizzPVB8R6U0FAsZJDuVpE rlSDBRnRaAc0TZ1MAZvpX3O535vdeB0qrz7eZwisvypXHXR3SFixJIBkTOLVbzqP6B+qVVEtq7dL ZR2gUfN83Ghh6FpWj33Cuip4S9mWYzMRzKWQqKsS14VMy5v8PFqwWG5A7JIMU5OwFwSJeoDYjXsM ZbI0VhUufE9yGhXhSVUteG6jrlNDrpyBTJFZMOYRBfctej2MdH6MFy1W2itmDYVaBtWAAUmWkI62 MwFSzYreX1MclGsV3jbVzZqEQ/W6Sq2EqlHx+iJpaZ/dR2ucmgaUACTILJhsOphOR/PvC0FQuVAg NyQ2lYqDwWET61aS1dJUxzORFtWwTp8zYFneLV3XaEHp2mqY/hl01Zha5p8LKB0czBhcJKe0sEp6 KYuGtZJHFhAKeALOuqjAECwIhSKCqgw5Ts8nOYV3oIkcKTIjxbytUIrYjuPnDqBaDzJh8Z41ehiJ KEo1C+WaDdMWINUtGOU8KgkHpVwW8VAapq2gbtZh22XAMXgCD71T3arxQAtyLC3XikyKEhOlzAV2 elJA0fg9naCKQqmOQqmGVCI8Z6mHj1sVLlpTMtIJGSPjFp57pcS+WMNjJup1B9m8jQNHazh4rIYX 3yjzDTERE5GMy1wTvRb4hHWVoChEkWReHZmL4wAp3VtjChMIXdBdSZXlB7kSEYrjDaeg1TzTheFI bBEjjBUQUmRo0+9KtApjCWAZo+DCqlpevxDJJaYV0ykmo21O5OtI6BKCgohyXYYSiCEWUjGaGUG+ bKBQJbIqwHVyfLLFI2nufcwWxzhKowiMZh4ScXW39M1I0CTzCKgWMtkSFEVGOEiaG7+ofvvCxYql GlYu0/HC6yW8vquMIyerbH1EUdWJMwZGJyyUyjZGx03ouoStG4MsKPV81/yi+00GSRIojRNY3zSX g0B1n3iIohmHJQZhi+QHEjoSCtu9nB2vs/apNSajJSFj3ADGzk1AcoihpgjLkxKQzMD7ne1YiBRl BMISp2rkvkCSBl69qzuoGDb0agWyacGpujhl1jGSPcuK+PLpCahiDqmIiPZUK8slvJYaF+VKAQNj pzgNJClFa6Jz1o9Inz8e1Vn5f/zUKHo60wiHVEjkanp9v3gfHxDcsULD0IiJMwN1nBwwMTbmYGSs zjfNWs3C6Lg3PZ3SwN5OBb/6qRRikUbd4xrgR1hXBao6U2RUwbkRKiyGwErPyxwMT8JAqnMZ4wUT J4cr/OeOlIZgQEBfm8qaJwqhqkYBNXEMtT4TxbjEE51pSGtA1nj2YFj3alXeJl1ED9uwxwuoKyoC yRhHVlQvqhgmutMaKhPjKAkVqHENLRChlkPIlsNY1CqiPb4SmkLSiIYDKkNAKBjF8t51jb9NV3rN DHqtrqlYvbwLx0+Pw7R0JjHlOnht+fjgQZEFbL83gnRSwbefzuCVtwswzIZkhk8VB7GYgLvvDONX n0pjxVIycrz29/UJ6ypBMwFtx8R4rsAHry0dnHUi9HSokoi2mIpYUOb0cHC8ivaExmZ6tDJXrFSQ K46jUiugWjaRVauomzU4ThXBABGAhjBprJqDHMglYEkXaqMZ2DUDVs3wvNobZGZYNYzXJ1A3StCd ECSFVhnJGXQIhWIKLZEkBG77uRi0Vjj/+Igaw/sWJTAyUoRlOYjHdOjaNdpM+vgAwuVZnetWBdDT 2Yovf64F587XUSx62rx4TEJHq8y1rnhUui5kRfAJ6xpAK3aOY2I4U+D+vc50qDG663L2yXRRCwiK Eq/MTRQNFKsWIrrChBcMhNAaaUdCjMBSbGjJJMaKBkIBFyGNipZTgy+aLS+SpkBLx1EdmUDh4EnI QQ2RVb009BmKJKE93Q2zXia5O2RThtwSRzqaRq6Uue69fkS6AUVGSzqEQrGGXL7KvYuRkHZTxkD5 uDk4espAvuigs01GR6uCljQ5OIiwTO8mR/dMLSCypOF6wiesawAfGnZvoCJjkQ3xWpMhaNQhfYWL k4IxjSfeqBjO1HhbEV1m/yoRGsy6AbWlBYKuomxYCGoigoHGnWraJGYvNRQg6QGo8SjqdRu5qo3y mRzKhRrqqSAsBOCQrU21BtV0oSd0qAqtKGZRNco8Fkzh2tX84VLBnyoXF5l1U3ro6XXqKJYN7j2L RReO/crtjmOnDLz+Tpl7axf3KFjep6N/icqFdVm6cTcmn7CuAyjFIuX7GGmnZBGpOI2yv3IMTGQT 1si4X0KxbEKs1qGTi4NlQ1Ak1mRR83NII6cF0l85CAUuTNMmSYtEpbEwe7eXh6twyZWhUIerBlA0 yixJiLgiZJfcGlxkazZ0NYpihVJajTVd84Vr2rAmCp6gtS1xyaR6LxUUMJGrYWi8yosBsejt4UC6 0JEv2Nh3uIbzowYSMQnL++pYvkTF4kUqq9+72hUWk3oRVnNR6trdO3zCuk6gAMO0DYznKlBIlBnX 56BH8g5iV1rD6cEyqvUaZMmBqKtQ0zGezEMd8KGAhGLFQoUam2Uyx7tww+zRxCuGAmxRhhwOwg1R GCfBlQGx7kIVRAQFC6qVg1sVUSsH0dmZxnD2JOpGFW7IU+LP9YRyq3VYpRqPC5N0FYo3X+ySl5NA VVFUXs3MF2r8nYTD2pzqfT4+uEjERHS2y8iXbExkbbw6UcJr74DrVqv6NaxbpWNZXwDtLRJSCYVX CP2i+wcM1FdcrtaRKygI6wp0bW73A54tqNJI+ThcXWKXUEsSYBiepQwLSzWRNVrlOhDzvOQmQSLR er2OiuHCchVEgzL7UwUSAdSMMsRADBLJtYqDyE+chZsfQzy2GLVKCIpMG6MivAGFWn5IGnE56T6b DtowxvJwqgb7eMkRYseZwZ0AsoieNhKUWhgczqODIksa6nqNqmcf7x/WrdK4RtqWruDw8Rqy5MxQ BcayNobeKOHFN0toTcpYtzqIbRt1rFsVRDRCrqPUReFN1bka+BHWdYaikElemfVSS7sTDQ3VpaPr J2cFsm5KhOGIqJVsJiSKSigAmSgYLE/ojAsIaV4/Irt/soTC6+cjEFmNjIwgl89DkHUIahyjYxmk Y6R0r0CqyRDyBkBj7TuWIaVHEV/dh5PnikhE2pErD6BeqaA73MUrjYFUDI7caKJuNE03Zx+SZSpN +nFlCYFFrXCq9Slb3BlA7hREWsWSha4WHT1dEs6cHUdrSxTJeJC/p9vJ6G+hoKvdS/s+uj2KQsnF noMVvPZOGTt3FzEyTtZEAobHbQy9VMBzrxQQDQH3bA7jwbvD2LgmyINYaaV9vsfeJ6zrDSYiG5lC CcYpG0sXxaHOELGQVTLZGwuChOFclZlLI7sE24YSUhAOKrBtKsILkAUHpRNnYRYqkFQVpXCApzhb hYrnl9XVjkWLFqGbehsdIFuqYSKTQ8kuIZlsR60SRUh30B6REehIQg42LGkoUhrIQi2VeSSXkSpC iuqonBvjz0E1MadWh12u8cAMJl9qFwppkOMhCAGZH7+c0J9HjDXGlFFLD00cWtKXxtBIAbblIJ0K +ar4Wxii6CIacbH1ziDuvEND5bMpHD9j4JdvFPHq22UWl9JpXSwDL7xRxuu7qujrUfDRHVEmOyKy +dyqfMK6QXIHGiRaqlZw4LiJ9lQELQmKJpqTkckXHTifqUFXHMR1GZLgQIUAJ1+CkKeVvE60xbz+ QskByhNZ1MazUCJhiFYIshaAVSjCsWwEWlJQQpTayVCYGEQkEr2QRBP5KvX+5ZFIKBDJl7xmQoiG vYOvytDb09DkFEc6pNESZBFSSIdAAzNqBiRdgxwNcUGdTyya+CNLjbSxYflAbUVkBDG9hDXtxqkq NBpNRL5oI0Zd/QEZ7S1RZPIVDI8V0ZIMI6DKvMDgB1q3GAQyRSKHEYFlDtRD+NbuEt47UEU2Z3lR ukDGki7suot6zcbh47RIlee+wqcejc08DXgW+IR1g0mLbGEGxzzjvFgkAMu2UCwWMFYoYShXRSxQ w6CVhevYCKkh6CUgKocRaU8ioJN2ybOcifZ1Q0ikICgqwpEAbFgYMSeQDKUgsISg+b7UlCwinVBx dqQEwwkgqkswyhnk6wZauvsmnyspRE4qVI2cQKftO1tiuZAU8ueiDnsakjEzl4hBjSOweqYAOayz DIPgFKtwDAuipsISZa7HxcI0eMx7I01TkIDOWq3xTBGJeBBBLeBrtW4ZCJOe7mSFfPRkDacHTY7K pL0AACAASURBVIyMmtwQTQ3Q1P5Fgypous7qfo1FxfuPVHB+xMLJMyb2HKzi4fsiiIbnXsv0CetG HlISiZIXkFXHSKbM+ixVkWHYNZSqE4joESjQUBzPIqyFEVRUhGJB6NBgZ0pAlycSdUUBSjoBSQvC MIG8ZCJXGoET0VGQbbaNCavq1CQXmKhZIzCsLATR5CZtS3AwbmTgVIPoakRY3kiwxmDei/ad6mOU dl7g1zUD+Dl09yx7qSOqdTiG6d1ZDZMn6lRUiU9eXZMu+G6COg3xEJAvVJHNV7gvkxqnqQ3Jxwcb x07XsXt/lU37yELmzKCBXN7m1J8MLltSCnp7VCyhn14Vy3qpw0LEewcD+OkLBRw+VsNYxuLXRMNz pyGfsG4wqGxN4fJoro5o2EA0bMOVLCTiYcTD3SjlHNjKEFrDKehKEHooggBU2MXqBdup1G0UyjUU KgaqZgn12hCWdq7AmZFTrKui4RXklEDkSK08ufIEghpZzJSguhG4wRDKZh4TpTF0tS2eu4nalaJ1 IjY9AEGReZ/dmgmnbkCOhdhkq1ZzUDcNhEIeOV28QdJq0Yk8kSmxKp6eQUR2rb5JPm4s9h+p4vvP 5HDkpNfwTIeL7GPa0gq6OmT0L1axZoWO5Ys1pJKSN/kZQHeXipNn6jh6osa2M3VjfoNVfcK6GeCe PgfDmQoK5QKCuoOudDc0JQyjVEItHMQYapDyBUQKOSQCMSiaxqZ5WsCTDJDfeqZkoFwrszygJdYJ TaGKpYuqUUK+4rXZkKaKrnpZVCHThGopAr2msDuqKscRCekwLJdX7uhkIbK79ln1lEZKUBLhyW1x 5GY6sEbLHGmRmHY29lNViVcNR8eLyBdrHNEFg4pfjP8Ao1KlOhQQDkmIRSWk4gLW9Adx13odd6wM sleWtwrozRhogsoCrWkJ7S0yrxRqFwmhrwSfsG4SorqNQrEAVdQRb4kjpAdJ8YnOzhDgrOXpyWq7 BMvNYqI0AdUxURnOYVnXHcwAhYoF0ykiHTWRDLVAkckO2UV/92rIqoh8JQtBUNCZXgJJcnHi/FFY dgDlXJRNAuu2CjUSYceH0YyBYsVGuWpCV0QEVSqaXmN3arNePm3CFxXwqWBvkj7Mojre7CcnabI6 2qLI5moYz1YQtzXEY5qXHvqKhw8cVEVgUWj/YgX3b43gnk0hVrxPDZiYipyoHjpd5Ly6PwAtEMfy JQG0pOYnyPIJ6yZBVgSERBUjOQEQbQS1KiaKI3BsB1pEh1TNI5+XoER1tHct5d6+s6OncHa4iraU hnK9iHw5w3WugKqyS2ihkuXZhW0tHUhGWmA5Duq2AV1UsaR9DY4MlKELgxDjNtLxVlTrNDpsDCsX x9HRQn19IobGKijXLKjK1fUSXglUVqM7LZkVeoR1efaJx2miDpDN0qQdC63pyO00QPq2wfa7w3hg axjRiNc7KMneJIDZ0RhEK3p6rG2baEycJ7aeD3zCukngVTeRZvfZGJnIw7ILsNxhRCNJ1MUagpEA hFoJtXoFVUOGqMnIFDPI5MmepQW5ch7xaBo9Ha3sm0V2MROVYcTDSRSrOU8tLwXYfqZer8Jx40jH NSQ6FqNs5mDYVYiihZYEeb+L3FvIJjXetNRLhp9eL9DSddUAMiWbVy+pIMsOW/y2l74X7UU4HOD2 o1yhxsr4zo4oaH3Rd3v44CDB8wUFmCYwMmbxHEIaMEF1SrpBeWPmvOnQ4xkL+w5X8OVPtyIZ9wZU XO1dyCesmwgiiLAmwHZJXxVFeyyEgC5AV0JQJRUBI4pC2US+KGEiU8XwKJ0QRZw8R8+hqErCscEK wpqEYCCAvvalLJPQAkFI5LXukGxeBJWlzo/VsGJRGLouY3DwJJ8fPNewmoMoLOP9oWIpWTxTz6Jp 2dwDeb1BhBUNSihVHQxMmGxWSGPuNcUbxjETqM9Q170VykKxjsHBHDraE9dl1Pl8cfF8Rx8eSAy6 e38Fv3iliLPnTV4F9iy6yQiyOS7YmxBNpJXL1fHpx9Ps5nAt8AnrpsG7OunABgIq0jGNxZSk9JVl WkEToapB2I6BcqWKcqWMsJaEo4oYz9jo7oggEla4ljU0ZiIdJbfSMASJpu8o7DFP3vClisNppl0q wbRDKBuAIyTgOiZP+XGEOHIVl8d5BWQXkZCCXMlEvmxxK898PxNNhyZrZ4rwaJoPGYwSYdLZSn+m sN8jJ4qQHC7207gnwxS8fVBmZi0exEqyB5q+kq9iaCSPtpYI9yVeT7MHIiMaBEv/b06sbv6e/q7r Oo8p8x0mLsTJswaef62EZ18uIl9oEPr049JcfGn8RRYsbi27VviEdRNBI74q9eZgP8/Tk0ZkNQ8j jcyiC5taWATBQTQSRr3uwshUIdUcRMlRwQWqruebVSiZyJQmEAxEoanUjCrAtlyotoloNY9SNQXV oUEZbbDtKpOhGpAxUXYRd1woITIMlDCRt5Cv2wjq9oyDXmcDnX9UmyrXaVQ9hfouyFGG+siIxBJB mgbUmE0oC2iJSuwzT7xQrntjyGYjLAKRBEVaVJAfGSthIltGLEoEQt/T9WMtIiZqICeSav6wA4ZL Nxffw+tSCDwRh9TspbKLWFREa0rBmfM00MRFR4uCoC5xmjiRtSArIu67K4awfu3HzCesmwRqOyGv O6rNEHGMZ23IUgiWpfCwhsnn0cVi2yw9cHiQqoiQUINTFpA1ZNiCilQixqF1NlfE0YHjSESWoi0h Ix5RkKR+QcNC7lwNjmXAlUWIrsNplg0RpmnAsWlWnAQXnl+VLAqoOi5Hb7Qn5M91RdDdkxirMR6a Wg1FSi1tb4gPObBajuh5ZE27AZPrBKFqeCJDDpcuk3IRaVErT1dnDAMDOf5dJEyrTB6RXSvYkywc 5papZvrXJCsiVGo+96OriyFwj+DIuMlktXmtjk1rQ/iHpzM8LWfrxhCWL6UhFQaPtB8aNfHwvQl2 arhW+IR1kyA0UyTd5JUR0xFwdtTkulE8EphMdahRWhRlFEtea0x7OogJp4Z6yYAtBCBEQlAFgZXh kltHSzKNWCSG9hSRFRW1FVj02lAAQcXkIj9FPrZloFDJwDSKSOnd0IQwRET55CNJQ4x8tCRgNG+g KzUHvyrXWwFUyW+LbJrZRJBG3AN2gAqvZCEyAxFNGjt4JEc1jitPBBN4f/p6kzg7mEE25yAedRG6 Tqp4NiBUfN/5+aBSdVCtOVi5LIjPPpnAHf0aj/p6/rUiK9sfeyjC53P/Yg1//OdD+MefjWPdyk62 XLqW4NgnrJsGIgbv/x68XsPDJ8fR1x1DIkqrgTIqNRtVcgPVJJiOjFSYRJ4FRKMJuKaMCqpevw8X 3dMIp7pQMUTUbIPTrIQiQFYUyFwD0mG5NkcPNAA1Fk1CrqsYGD2BNYvvnIwchMZwDD1AK3o2xgsG 0lF1TqRF9SkO1JpbotVQiVJXr+1nJlUq/Saii8iV6b0cjgrnNFxHIN/wJAZHCpjIVbisGwlPedz7 uFnwVgDph87pKPWISsCKJRq7MdAk6PGsgSWLAmyfTOniO3vL3IpDuitvpfjq4BPWTcMMS/iCC013 cHooj4GRItoSIV5BZFV7zkRnq4RdR020h1NAUEYkqSEZDPCswNH8IBxnNdIRFblSHgOjgxgcNZGO taE3FoVgW1DVAAK88ufCtk1ki+MoGxmEQkHowSC380zfO/KYT0UCOD9R4ZpTJChz28zcPta0z9eU LFwgl7gQmiLyPMRi1cF4wUJHYg6nYmOTbekwsvkqF+NpMk8iTt0A/krezYMLTRMRUEXuBTx8ou6R Uy+l6uBG6HPng1jUoaFYcpDJW7AdEZmMDcOg4bxXnxr6hPU+g0hLkanGJKFsChBEGdFIAJJoQZUc tKZiCAUtjOQnUIaDTi2AWCgESUxhYOQEFDWAZLgF/V29MGyHi/qHB3OQiiYStHIniRieOI/B8bOs eA/qHYjolHZKXp3McXn1hupYFHCRGySNHcuUTLaSIRkGPTY7ro4ovPTX0+TUzPltg6ZKU/Gd0uhq xcTYRBnpZPC6rh76uBwctKVltKRkDAyb+Mdn80hEJSxboiMcEnH0ZB3fejqHV3aWuSmaSIt7agPe IOBrgU9YHwDQRUuBDC+qu+RLpbCFjGvRSprEbqRKQEaxUuPCczIUgCFoqMFFvlqFppJsgHRaDkwy ANQ0oLUNdRo2MU7OEArqVozrNK3xFpYVjOfJ+oZ82AG7bLC2yxVkrrUFNfLQEpCvUIHe9ab5XMNd cTaQkwOtKjEhcgmsqd65Mmh/yGaZ6melioHRsSJSqRBbmPi48VizXMOaFRoGhooYGrFQqtiIhQUs XxzA4JCFPQdrOHS8hkrNO6LtrRITHLX0XAt8wvqAwLXrLGUglTst/YukireBkJ5HpkCk4Vkp14lE XBuuoiOUSKNSLKFcF7n4TbIGVfZqBhkpwOkWESC1xCQjCYR1HcmQgoJRhTGegRKLwoQIu27AFSQI jjZpNUMeWpbtRWHlug1Kuq43adVMh33oabUwV6aJQDRgY+4aaIqwwiFPI1Uo1ThNjEU0qP606RuO xT0qHrk3AtN0eYIOuTQoiovt90QwkbHxLhn45W3IsoDOVgVPPBLh89Jb2b369N0nrA8AeIHNsXnJ zKraqOfqCLg27FAUatCFU7dRhQw1EEAiLiKuAxVbYjlEQA7z8EpqYiaNFZEebAM1si6OamiLe2LT Sr0C1XVgFy2ELRP1WhkI1QAeQmFCclS4pEWSaLXSo4xEROUhr2RCWKrZ7CuvXkfSYjdVyWvToWiP JuvEQ+S+OvdtUIoRCXmrrOOZCgS3ikhEYwdTHzcOQV3Alg060kmJ7WJ6OlXOEsitgVYP0ykJoxnq whCxvC+Apz4SRyQ896lMs8E/qh8AsOaHmo8FAWrAQVquIVopYkJvA2QbLS0urwSSQ0MwJkMMyzAL 5JlVQ4BSOsvi1UWJBlAQKdWrsI0aWmJJjljCehT1ahmFiRHU7Qg0PfT/s/eeT5LdV5bYed6mz3Jd 7QE0CG/pLUjOcAzH7GhnZ2M2ZkIbMZJW+qTQF31U6LP0BygUCoWkXWl2tEYcjrgcLjm0oLcACW/a d7ms9Pm8UZz7MqurLbqBBtCA+gcmu0xW5stn7rv33HPPQeb42Hz9eTjdLmpaA4pmIEwyCXoUApTT qqzMXRVkGE4zhHGO1XZVht2K5dsqpMlHHldW4mw/gWuVsGmAcTNvQTFA28RSW8H2zlgytmaDZrHv wizP/4+WYyt44IQlj4UmNkH33/5UDZ/8sC/YFSc7iIsqBDxuQV/kTsC6TRbt3AlNKroO78ASfL2N C0MVVkERPnZkFGGRMwAZmop2TcNOf4DASKAbERy7Ad9ehmv5JFCgVKvAwv8s3UG7qEFTDAStDmLb QEA3ae8eqJqPqaJgluXwpzHaSjWOwkVPRAZTXdOQZim2+6EA9rQwu6UAt5jBsgxV0Z8kaPuGdBFv 5j1Kbrdt4MCBFra2J+jtzrC8RGPZO5jWO7MuE2a0gOm0EGVRdhHZXPrzP+6In+GdkvD9sjR2B13k honAUrFi5iiLTNjj7OaFSYRyFCGME8zCAJNegsP3tGA7GqbxEGG0Bc8CNMUV8HpxvQdnN1HkGXwO EOu2jNMIreDEKrJRgHEQQHcsdNs1IX4S/OYfB3GG7SFljnM0XB33HaljZzeCf7AaTL6lTAKlQFkM cHY7wnhaw3rXF1oFo9Z+PaVrrjlgz0mClW4NO/0JTp/dxeH1jgx437ESeydXdbz6wxzf/1mAr357 JK7lX/x8G63GW3vlOxnWbbQ4PJPnCUqoov9uGAE0TOFrbYxnQH9SYlKo8OhNiCH8VQf9rRDLazV0 m6sYh31s9zdwoHuXEEHPbQVoRJOKZ9ppQvc82PMxGqo8sGTKyxSjYoC0NFGWNgo4Qh7d7sdy8Td9 HbZpChGVqg6mpSKMUjGRuFXS69yW8WwXO4NNnFi/C5pmYzhLEac5lhoXy40b3Yv8vJ22C32i4tzG COurdRg01LhDe3hHF0tzCjdSrYHCfrdg9vlOwLqdFp1z8iJCnmcoEgdryw62+z1sDXdFzngWaYgj VeRpl9o1tFsWZkWGcaCAM9VxaokKwiYiRHGOnX6Ce9s6nKYL3bWFk8UgwyqJZR7LUAprm5qGURrh 9OYWLGNZgHXOJdITkfgDAxdXUSho1kzsDCMc6OpQ32KLmotChKPpAJOgj9XOQdRdF6WiimEsgf7J 1ghlMYGhRXOHwxvem0jTHJMwwdYLZ3D/XffAd523zAO6s25wvU27+U6GdbuB76iE0JJEh2/XMLJa yIopGp4m/KvBCIimCfyUYykmbM3AxvkIuqqh2WzMMSdqZauYBiUUT4dCkwi9EsATVIuEUlL5CoL5 lF52xWeQdl6UvCE73vf0KzIokYoxNekCMdt6q2clzTJGswFm0QS+20STjP75qgvLXsEwyBCmKupu pW1/M4s4Cg1kR+MEozFxFE0ka95w5OjOum3XnYB1Wy2mzpzBo+pBLtIyltFBzdOx3tRBTbtNM0Ev j+FGY0xDH0qSYzYdot7S0K5z4FQRuoO4x6u6lG9OVkI3Lo7MCG1BMi0VU5goDAMt34XnqPK4HoFT 2PC2jiStODZv9uLP8hTj2RBhPIPv1NCqL4lKAhsMXMzyNJfbaUNRdCxfx8TijdZqG9jemWI6jSRI M2iRBnFnvffWnYB1262qY5YXxJESmLaJuluTjAnFFHlO2ZgI02mA/pkAZjbBRJnASxQ4wxKO5aFW Y6cQ6NR1vNAPRZvI3TcjzCyMKgeloSF0aqg5CpaaxHgqxbXrsc0ZUNsNE5NpKh24/V6DN7MmAYPV FK7lYam5Ku9I4UEGLW4HH5W9ffX8KMlFVeLN5kbsGLJ7OJnGoOMUbcfuBK23cc2P262e8LwTsG7D xbjBkuvcMMU96wYO1FjGALvDGP3BGDu9DLPcQKam8L0euo6G2XgLp8IR1jqH4LqeKKBTT8sx1fkA 82XAdUm10EKyJP46LzjPeJE0er1tq3sahqMESVrAlNe/uTDCsnQw7cO1PSy11qpCVagNyl7AEi0q VYGuqDJKtDGMcehGZG+us1aX2eWciexyXpRo1onr3SkPb2Qt1BluZlGo8VarS98JWLfhYgbA7OXo ki6Z0DAoEIa5uDa3nVV4dxtQai7iJMP5s2fQ2JiivrSGsrmOuHBx/swUS0aOvukhyE00lUuzIJ5D VAQ904ux0jBF6oVvuj9YXG+xZOy2LAwnKfUFK+feSkvmhhafSd0uTeXfVVr3XHxfPiiHwx9xM5qe Bst0cWYnkiBD0Pwqfqw3tl9RottxMRyGGI0jJFkmQeyWX1Xvs5UXNPSmVRvPkxv/uyBQkGWVzvut yrXuBKzbcIn15Fzx0lQVBGEOhZLGmgJLy+CVKWsajDHGJO2h76zAMT0YiipaWKqhw2gBdqiiCFMp q/ZD5GkGnNqOcaBtwrXmZZaUYeo8aFXBQ7Zl38U8rxjl+nYsgu8ZdgcRokjHcucmMabrPJVM+6jX RzYco4wTBGGCQPEx2g6hpAmsVgP26jIM339TF0K9bkMzVIzHMc5vjHBgtX7HSew66+z5BP/bvxng 57+e3VSjhUarkxlH+m/dDeFOwLoNF3Gioshx5sIQR9QYlmGgttSCThWGWEUWhAjHm5hFp/GRBx7B 5JwKt1FDZowxmpyEWe+iUNZQdy2MpjG2ehF2dtn9U2CYKrJSw0pDF7niKltZZDjEjRQMZhkKaMgK KolSTYFKEuRv8fsMSrGLaTTBLIgRJj5KtY1WWsC4Ds2BA9tRQl35HNuDDRRFJiNDV1uS5fH9ZjPE wxFyRRcsL5rNoCWBBGSLUffN7l9VEeCd+3k8ibCxMcLSUu1tUaR4P6wkK7HTz3HuQvEmrNYWGdat Kb3vBKzbcHGMgSEiTmKc7Y9x9J4VOGzzk4ZOswldQTmIYA8DdFwXas1EreVhlPYxKcZwnRVs7p6B rpkYjHswjTZqXhdlWSmadlsE8itO1uUWVhXYrcjAc1qqogRaarl0LWm4amglLPoo2j5s08dkVpWD BMWNa0hJJlmE3mgL53ZOi8nGUnMFtVoHnl275j4wah6UgwdgttvIFZpl2JgNfcyCCGrTQ0Fxpbdw 5xYrMduYu/IE2N2dotV0RT/+zrp08TyxTMBxFuHqZjHLCre8FWySO0fnNg5apCJMTRNDmLALFTLh p6ooTRORWYNpH8RopiPRTQRFIhQBcrB8t4Uw3hVXnobvoO45aPoWZqGCjMJ+XpVZSbfwMt89Zh0s E0kW5Y/jdCamrTzh6o4vF7qp1lDz6sJr8qwMszCXQJjl1clNGsaCoEnofxKOsbl7XtysbdOSrqAj M4/XPoNV24Jl2zDnLjbkjGp+DXpMcm2JcUZZnBye9eYHnLmNdOUp4WA0ohxKgEbNgePQBfsOrrVY rYaOz37cx91HzTeZLVU+hY3aHdec9/WSC6pjozcOYdlUUXClqxdxlKVUUXSXUWi2OOFEwVD0sxpu R0ZsDGNdBqRXOxfDQqhmV3Wa2R+0GMhcU4FrqohTjszMEMVTtGukHxCn4nL3cFTPoXkFSaoMWpng ZQx6jqOh5NhP0JfsyjIcnDj0YGX2cIOxQO7npGLNO5ckk3K+cDD3USTB9q0ErMXnrcwsKOE7lWyL m+eS9HZnyeq0NHzxc41bUNrld+Rl3t+LF6yCLA+xvVtlL66rYBJNkKYRUEZYbh3EOBhiMJ3B81fQ rS8hjBRs9umgWoi+1EIUj3rahH6qAHBlKbg/08rLHL1JjGFgwLeW4TvuFZu2WNT25ghPXuqYhjlG 41QMU4N0hnM7p6CpCR69+8PipXi1WFVSEofegEUGnc8pK5stNgGkc8hW5GI7eQH5nHtkqcmsrhp4 fqvLZeBdqmF7m7SRCVaW6zLPeWct1twd911ed47I7b7KUtQG4jzB2a0hFDVEgi1kaQjLWkZP38Us 7mESjSQbSlMTa52uaE31NyaYuCY0XZMLnWJ8GUusA87eIPCiLNwLWvyiUDANE+yOYqx1XMlkeuMI h5auPR7Dv2NmxSyo7pp44eQUZ3ZLHFx+CPcfJi+Mr32pJpLwzYpCRnQYdEfBAEuNVURRgKxIYZkO fLsBx7o0WPIlPFtHGUKyraUms7a3GLTEAUbD6moDO70Zzp4f4viRjmSPNw8031lv17oTsN4jS1N5 0eRQVAO2uoJSrTwHz29SdK8KNGk+wPZ2gdHZCLA83H/IgtVwKhEtYZcza0qwM46xLCoI+4LWPGAR H6JSAmWaD6/48G1dNKoEjZrzoN54FbBsFfes28Imp0RNt3Glkii3md3Grf5ZzOIpbNNFf7IjHVIa mFJplaM0lwcsEYrTFQRKNWu43DRvWUhhgFrqehK8XnltC3cdX5JB8TtKD7fHuhOw3lOLADTjFg8b 23elBARdWZJSsF4zoMxKRBtTuHetwnE1KKTIzwMFCaKKYmA4TcUpR5jt80s9Ho2R7OyiyHIkkxD1 9RVgGCLWVJFgzjQTM99AzV1gUIsQcdFnMUtJWYjFur5EJhgahQdnSYGN3UR4X+SwShN07mHomA5W WweRFolkWjW3iTAOJIiauiXY11UXuWLy4Ce4teJcDFr1OQv+9ZM9HDrYnhuA3mHFv9vrTsB6ry0h gV4EP+m+HCW0y6qh6XmAlsCKCijBGEqtdQlGyg4fQWpmUed7oQDYdTriMKgVJdJZhGQ0qgJh3gJZ N8l4DNtyoPmeZFo0jujWLeRlKYGPsjdJNkMWDmBGBSZ6F0mpoeZwK3MZr6GSaJRq2BlnWGrowueq yKncJgOuUxfcKisSmJotgapiutOO7NrcKG5fXhYSAG910UZOVt23URYFdnpTtFuugPN35Gne3XUn YL0PVpbzolWgJAWKKK2IlzL8dWVThwA1gxQNSBflH/uIZaFDbXXgkf+kqzDqFalT8xxoponC8VBE BQaTVKy5yF9miVgpEGuYhCowjGBo20iDFAM1xcSx0OrWsbzcgGe42J5l2L4QQfcsFAo16qn2UL2O qWtwLVc2V1PtanZtPhayPxqJ9E5Ow4oS04jB8tYyqfcvdlTbLQ/0B5lMIsHbPBpe3JFdftfWnYD1 PlhsouWzEON4hCyJRNfdaPhz9asrF4PWcpMO0jmmYSoW96zV6u02apwLnHcMxcK+Ud8LB22D84Yp UokiFcDu2bQCM6HBwjAdwptsIOwNEWsFtjMDQZiJWqlVJsinEdKwgNP1kTkuEmPewVSIvzGA0rSV X1dKDVUFtv8TULWSWBqfkyJKqvnCIMnhkFT79uxddLseer0pZgHVYBX4VHp4DwQt5dYRzG+bdSdg vQ8WlQ7CnQHCdBuZp+Jou4OozGFkqfCeroW9cB7QNTWMw1y8BxkMmLGwHLqc5sBlGRrWu/soBgsd dVPBSsuCVtRQlhn8JUsuamU3gJKqGO3GwCxCOOphbcmBGcaw9BQZLOilDtM0MEw17E4KuGaV2bCU vLwa5Kfgz0wjR1mSJEsVUhOjWS7Cgm/PtVmlqd2lGnq7U0xn1HYlOdYUB+rbdSnvx2h1J2C9t1dR Vg4kBtnvlFUugVzVMAqmSEdDNLtt1LSaDBNfdc3LLpqm8iuWh1meC0Z1VW7TZQHsYrtfka5as2nj 3KiO9v1LCLfGuOuAJxZkKTXhD/nYOp9jVOxgCTN4F7bhaw5yy8dAcxE1lgWLY8Z0sKujZl97lKM3 2sE0HMHQaVTRAAo2IBYpxdtRHnJHKeh2PAyGIcajUDA/AeZvQ/VSlefDYkLgfcbIuJNhvUeXuEAn NsIgxIMn2ljyV5Du9BFs7qDcGaO7tgbbb6C8AVIlKUy072LCsDNOsTNKsNSYlz2XC/rNmeekG1S8 rUooSRjjjokTH6js7suuJQVpujtBESewuj7W2idwavsI1js6prNNqKqONPMQhwqOH7BEyYNgRgAA IABJREFUw0te/zrbShxpPBvANT2sdtYxS0pc6Keo+xZM7aJT0K1f1T6g3yEzwJ2dMZIkw9KSf1t1 D1WahbBmlnX7bNf7PmDtkRnn/ydojPjs3axMy8XMoPryvX/LoV8gB5TJMH/g+CrqvoHd8QaGxQ6U Tgkz02Ce2oTRaUDVbuAQz2kGxIGW6gq2RjF2xgk6NbNyei4pSRNjEo4wi6nSMEG3sYJpOBEyaN1r oem1oavzcZbF8eKXuop0mGDyyg7iZhN5oeL0zrZ0BS3DgqGxfFRvyO2Z4fH1Cy/Ad2to15flfXS1 lDIyjHIYpG28nVVaFU/huxbU5QZ2dqfA7hTtpndbqJcqcwHE9/O6rQLWQhqX3Bqm2pVY2/z7+ZjG oqNfcXmu9UJVYKIQHnEZfl2BtQUKdrjmox/v2QAmlU+BaRjh/O4GhjND5Fsy5LAdB113BeW0jyyO hSXPObkbelnOAJoqlhsmepMUu5MYTY+mppqA3AxYQTxFFIdirJpk8R7WVe3HK9uSmmdDhYpwnGM4 y2HZBgyVZhkEzqvxGgacOMvE/OINP7jKUSAHBqkPc/pBy9exNS7gsYx8B7KKhTzNUscXc4v+IECj YcMy373LSbkK5vh+XPq7PSK0F6RUtrgrOV+WIrSkYneJips8DRckQUUt58aa199oygMvZF3J1+GN hwxqzp4xcNHiitpMbJPLY17avBdWRfYskaSpyLxk+VQynSxPkGZ0hqkhdGcohjMkcSX2p1iVW7MA 1xVnU16Fmc3+iobHwrPIlaowrTQrxXHa0E20vA5qTl3m/tiJpH48/5bkTnKm5p488jqLUrHMC6hF AVstRJqmU9Ng6u48YOUYTqYYDWbwUg/Gav26mJCM/6hUgtD33odPNw0hZiBOKxMPqWTlJkVwvjqm mqrt3aiqm99b6ypyOz238kwk5WE8jlDzLfFrfDcqkfKq567UGO8jHKusMqx5rvGOvrVkUIoqnRY+ OP7AQEWAmB0i8c5TKgNGtcygVswfqGU+14u6csLr4qmuCM+Hplm8JfPrnIJ0JUmTFbArj5wXeY4s o95TJRF8MVu4vVfFVyrRra8iL6bi68ft9pw6FE2H0a6jDBOkomuVIGdza04jMHUFo1khgn40oKDm 1eWLlIXRLN3bF5SGMcWGq8qiLt9HJffhbIoyTavvRdBbDpkMMVN7SqMGvF5Jwki7oNCgZgqScYSN zUBcbVaWXFg1FwobBcrVvAbJh+LU/8XFIEXJHNIzyOD3aPYaDzGa7sIy6b6hCIN+ON2VzLDhtdHw Wm/9GCiQbiij73QaYzKJ5SPzs777weri2rtSbv/T+g1XJar9jmZTPMFU6LomD4MPCVgcMakuQq3M oSJjiIFWZNAYsEoqTDJdyhmOrrrVC6EwCWcEMxi0KPsLHbliIFN0FJqGQtWqAAaaiepyp6dtFcuT nI/3QODivjQNU2RoW/WO3ABqZYm625KL3VxuIJ+EyDVDNLCCaYLCKGHZzDQ4g1fCt6h9xWB0lTe4 5o356qVHkaSIe0MZvZE/TwspRTXLgl53eBVD70cYTiJgksGgE3Cew8hzNHUdr0376G/1YcdNtFaX oGm6ZIUq7X7m0sw0mM2y9CoBiwFWQzSiqWwuNzl6HW4PL8CxfcHWqAKxO96W8R/qyTf81i069RX4 flWeTmYMWpGch+9UplXe4Dl6DR7xe2px+8kSfEfebM8JRWdJoIk6Jf9l+1wCFcc4kMIoY+hFAqVI xAm5ChxAFa6qWkZyrascJ/5eU+Y2Ucj2Phnv5rxALJYFqo6CwUu1kCoWMl2HoVfbQg5SmmZImS3c 7oFrXgpNZglqromm3933y4p1qdVdONx3/MzDUPapYThywa+1KMZGp5zLXpf7N0qRMsMRBYSL58dC 2eFqeIl0DZnhHT101c1lKn9o2cFLr+yg7G1BUwukeQaF/oaaiyWzhsjfRZxNEWwp0FMFRt2FudaR iMobSRBN4Co2DMznGfeXsijF1ux8j2VxIaaszNZnYWUlxudTCYISNtdTOr35Ve0H37ehGxpG4xC7 /UDIpm8V07qIC3JV+32xbqfO5Du1+InfdpRwAZozgyKJkQeRnB0p/3jRIYZVhNCLEEpOw4SqlBD1 aOIcpYIkV5EUCuJcQUx7qpy65Iux3f2raq9LcBIp31KwE1MlV6mEQbWDgtlbDEuZwVZ15BTAU12E ug1D05ETYOYAcJojkuCVSel4uwUtcZ7RgP4oRIeAr3V14iTL54ajwJ0kKNIMuu0hz3OY5tWBgCJK MPvNaZyuL8Fv2lfwsfbL0dzM4vtkaQF1dwZ/pQO9bqDQVWQbA0QbE+hHD6BMhmiv31OdmKWGYmuM 6UtnYHRqiLaHTL+hDUdQlBbg5FAM4mYX9wghBDmvKHxomEJ9KJvVTe5ifJt/dcsPZwmbGWFDwWAY 4PVTu7j37uW3xNPKMzL5RcBMMk5NNaW8vtFS8P243taSkDuW2JQ1D1SGBKpq/MIuQ5h5AJXgSpHt OcVkJTDLFEwyHUGmIcpVCVosY2iEsHeRzc87gvQV96TCpKqWOiPdAmAuJetiEHO1Aq5eoK4XcNSi KjWLGUwlhKkZSFUPkWpDNXXRkNINHXHKAd9UMq8qlt5OJ0mJtEhxdnOMAwXdk+25esH+bby4z/Jx iHx6HllZQDuxLsDzFZcTGx2uJaambV+XruGt6ErRYef1sxOs339Ahq6phCCiggGDWAR9MEOeNnBe OwvDVhHHIYh0uU0TarCLtYfulQPqp4dQjAMZRdKa/uVbJcGKkMPC4WfRSNmPb759i9plGlotF3Qw e/m1bRw72pUJgTf9imwM0YKNxGAtg6bTo5LZ8e216FbOyYe39T3ezgyLgYT4lGUyWBnSfiZnxkQC J59CySMB0AnOpvQ9y1VMMw2jTNvLoAqF+BbHRwzBo0Yzuq7MHV4UBZ26i3ad2kUGkjTDxu4Q4zDB coMdLBNBnMjfRGmOWCkR5SWGdACZB6+ansvD1gnmxzCUDJoaINNcJJqDWNUrM09VFZkVEgUZFEmR uF2WrhYIkwinL2SYzFwsdzw41tyXft9SPRsaM400h5EkiE9vw2jVoPkOFF1DEafIGQhGMwq5w6Eo HgN0NWb4xllWBU7u86C7lHXO42WamoDUmj7v8VFfyzRhLTehddo4+8oQx1ITbqeOrM4uaCQXgW/W oIgUsiJlVxalKDgiw8yjcamoIOXYCbyHCWCb73zZJBm+rqFZc6EpCs5vDLG6VL8pyWXu3yAIkIrL UAWG8IZczhUsDMOWBpHrujBNZl3v9Oe8eGypYDudFpgGBdaWdehvc812y1+eO49dPwlUxKnokacB lpLAKiJoRQitSOXOERUKJqkmDwasqGQ2pcJzHORpKiMn1BKvOw5mcSzBZ7F4UtBggaf+aBrAtU0s t2uYbexKEOPvaZS5J4FPSV0ocA0DWVFgmOWYZjmGWg5Psq4Mnp5BZ8lIoF+LoTNo6Ry/MAQP0dQq 22JXUTqKeLdXVQKThJnmCXpDBlNgfbkmtu77l2qbUkIh5/xOLrpXaW+MbDiba2YpErhYfqkMAoEi 1BLSSq7+zhcNLKK4wDRSUNgNzMiHshSRoeE+dwnsM3BIts3XrIIVHzkpF3zfZh2hbuLgsQ68YAhL c6A4BjLTlX0scjOLxfOr5iBLMhRBfEXAooHGiMazaSnzhe/GkqBlaGjUnarBMQorpQf3xoIL92mS JJhOp/K9Rcsa2c/JPHAFInAoHfX5v4u/mUwmezgjF79P2Zm5RUuO+9zy7eSZCN/78Qi/eGaG8SzD Qx/w8LlPNnHiuA3PVW//gCWgOktAU5d6nkC2SQypjGDmIfQ8RlmkiHIFs0zDONMwYUZVaNAMU4Ic 0lTuTuQYUaZ3oXIpUrWXmXryvfgzOiAzq2DpyYyIX7OrLtmQMH/nWZmqYLXdlAu8PwmEeBllKmZ5 gWmqom7mqGkFHC2DXi4CF9UGHKg0KFUNyRRihaTJedC6DbIt4lTcH7wbDyeBlCAHli8tlxiUJDDN Fy9lXvBsLAg2ZOjQHEsyMYqb2tsBxrNU9LY4JH2N8ToUYYJkliEqDFE5jULyrSg3Ux03Sfb25Jgh 6g15Ro4U8bIMBbNpjVrwJe5asZGdrjRleFEsyKFXfF7aicn85JWsbprNcuOu8qt3fPH8bDUcDEah +B/yfKzVqrL9eovBxrIsZFllZcYKgksl9DGfSjA4JTAfbI8imtlG+xIGbY/xvj943aopi91Bil/9 ZoZvfn+E7/14jFdeD5GkBX7+7AwvvRbhY0/W8OEnarjriCUCjrdy3bIuIXcm7yqWYcKxdFjUVFJy WGUAIw+gkNRIY4JcxShVMUzZEzRBCJz/8xwLS606giiCZ1tQHRtBNJCsSkB6nQDrReiUGlBBROKk gRovMqXKtPgvL8IgTBEmBPEvBiu+7lLTFyB9FrGbZMhr8xXHQYxplKGhZ2gYOWplDluNYJYpVD2D onpQDZpvMnBReyqVMvR2AuRVtUSWp9gezATPsgnEX+Nk5TYb3ZqQOkGhPJ2IkYisy+9bNRM7wwSj aSrBidkKCfP7P6kEvEkIrSSJ0kbJcyCv+F3MsjhzZ9FclcGtqErXWchsgX+toCTQo1WNlTRmgCuh Wgay0axSa/Dsq297VkiGWKaZNAmYPV66bm6E6+1a0rXWVJk/7PdnmEyrMpYE0+sFLR4zlnuMU1nK 85TnWQ6N1xTpHkT35sTXOI4xHnOuMUGj0UCtVg27Z/Pqgq9DLPatLp4Ws6CQgPTzZyf4j98Z4OfP zDAYLigmCs6cj3Fhs4dnnpvK8z7z8Truu9vB+hrnUm9Zl/CtX2y8gFmC2SaDFefPFJhKAqeYQUun KItMcClmVL1YwzBjGquj6XuS7YRxIphXw7Xh2ybiLIfHLM2syIu0m2JArEoQ7AWs3miKRu5IRsXA xu/5vME0lExjGlREvsU2dhuenCjTIJL02rdMLLVrEtR2tRl64yl2YgL+GjpmiraZwSHdopzB0XMo mg9Fs+SiqoivNBCloN1lt/PLB4bfwcXPEicJNnYm6LY9eI4hQPSl21ciC0MUYVypPPAiYMm7sKjX VPiOA1WzMBilGE5S1LwSllk1TfhyWRgj60/k+W7Dg+8tOnaVdLNrz7O5+QHLywxhPIKuNSQYVnZj 1e8oqZxkKWZRAdXzkJ3agM3s/FoBi/ubeBzL88EERqu+X6kZapKjUFVkuSbvc7V+8juzqvdldUCl h/4wkGyL57rnXlv2Z7E0zRC1Cx7POK6EFhUlEfFF4TAa1l7QIpZVn4suynvOwaSFYuubTbJ4+MKo xMZWgudfDvE3X+7h+z8Zoj/MJNu6/ONmWYmXXgtx9kKMH/9ijC881cIXPt3A0cMW6jV2Ot/cdsxf /q1nWDx5yWOyLQYrQ+6uBNa9fAglDeVOHmYadhIdvdhALJIovIO7OLzcxiyMsLE7QpQkGE6DCtvi Aal5cqGxJNwdB9C0sKqeZZywwkT4vIgYzN4HYplA+d+h7Mxy7yixU6jAd2zJrIazitxXczl8q0mw O7zSlvdnlzIuFGzGCqaZimU7Q1vPoZUBvJIlUh2hxpEUanxXJ0LMrsFc8E5GgdjV4dziu5B5kXhL c4qN3gjDSYZ7j7XEO3D/KvMc4YVNhJs7Qt5UPVcOpFoqcFoNIWw6lgWXmXJHE/ecrX4I39ZQ8yzY OhCc2YDuOTCaNSiOdaUp62WfXddyNGsRWo0qMO6/UZKuRCfqU1spDKVAo9GE6V1Dy13wOAPWehf5 JEDaHyPZ7F96F04LBLqFoeKj27w9OmoMHJ0Wh6QjbGyPcXCtITZi1wtaNKrVDV7oGjI3m8tGV8eS 9IZKNojl4fUB/cU73Kz6DsfYprMSv3kxwr/6d1v4ytd7mM4qocXrxo1SQRCU+MWvZ3j+5Rm++g89 /Bd/cQCf+XgD3TZ5jxWB/B3PsLizGayYVdmLzAoJ3GIIJQmESzVONWxFFGjjXVyHb+jSvZuwnCgL Kef4fX8cYDCZoe65OLezi43eoBqfofSvWC3pMF0C4JWxgvBR9s2tyS6cjwPSU4/kSGkF85FlSPIC r1/YRs11EEYJ6h6HVU3MQt6xcknd+Xl4QbJMZLk5imLEgYbIjLFm59DTFFY+hGpkiDQfMNli1mEZ c4NIsXkv5fXiecn49paLlcjdfjInCZz8zzRp6xXJsPeVf6ZCq/mw4gx5FEFv1qG6joDxBh2X2y0p 7yTQa8BSy0KzZmI0TfDa6TEOZVPYSzWYzRpUAsKXnRNX+8yV3PF8XEe5Enei1nvLY+ZaYmNbQQQV VX51jauMlJaaUzHhc04/7Hs9ngNz4L0iedwOBWK1bxo1cts0nDzTx9GDbdj2RZfsK59PorUFXTdh FJnMvqoKy8HqZrkgkxK/YknIB7Gvt37O8RgqePX1EP/PV3v4t1/ZwamzvE7m6ie48VEgQmvPvhDi v/nvX8XvfKaLf/5PV/D4wx58X53PBFfv97bTGoRjxcyKJ7gA7ApsRHDyMdQsFM7UTqzLI8h1GZFp eM48k5nh/O4Y/fEMnYaPuu8K9YDfj2acFVOgGCZ0Sxd+lKrxIC34NVo1BL0vzeXnXtw9ZHxtocYg A7CVSWcxH+sYBAmylJhULCC/7xC81HB+ZyAX54EOcTTO4FF210KWZ9iKFeE7rdppVSLyguU7aXXE Osc+qrJDLg5SwObBj+9PEurbEbRklnDejaW0SSUtwrtijoRdIQLXSoHRNIRp8nkXQQQGfLvTgd2o GhAsB5mNMiuUO77gI/sZ1syiFQlaxJZ2t0s0NUsGivdn+NdjwnMPiV3W3tZfunhLMvQqtDRquoC4 szCHJ+KC19oJ7GzyhjYv+uYvSypEHmVIYt5Irj9MfeOXyq0JeoJPOQYOr7dwfnOI5W4Nvmdd1ZF7 8fzqxsQS8mKg2tsylt8uvSMLDAYDrK2tvaXzjX+51cvxd1/bwVe+0cdvXgoFp0rTN/ea1UgVmy3A N747wouvBtJJ/IPf6uCxBz1Y1s297psqCaUTodLtt8KZ2ERisLLzCdQsEh7MbmJIZhUWKhq+L+Ju wssydLR8TzInYkmc42MWwK95n1S0qluoSbuWNW/l/FvdhObTgmQ05xG08ByS0SlEs3518poNaM27 Ucw2odePQ3WomUTpFXaNcuSGKSWQoieIGYiGM+kWIk8QDU9Cn72G0WYfqXMUteVHodWWsD0YI8wy 9GOWeDqW7Rw+g5YSwJYhaxvx5DziwWtAlkDz16HWj8HUa0i0ijX/dizSDRhoOWhrMkCKXoOCNNcl iBAXtMwCm7tVm7vbciVoCexAxQKioPtIM3JJzstYZr4CCu9LbqQrq6uo+Qby0pfOLKEkYz94NL+A WP5wbq/iEFVKCXwkeYwL/TNYaa3LMPWli8Gq+hzUiU/TAlFSzHGz6++LqvS/dGP5I8YAdtWuvICr m0v1v3kX7Yosp/r9nrnsVYJWddss36Q8jYHljo/B9gBZw0O96cvx3MMVrrKUa9RRC5wqTath9Tcj NUP6xWxW4ls/GOA/fLOPXzwbCA41C/Jbwy0vFYynGV5+LcNwnOO5l0N89uMN/NanWjhxlz333Xwb SsLFTCCDSlUGMnWPYDFY5aGUXoNUw6YEKw7aVo66TZ8XTCULQhCd2BHHX2YRuTgqStWA6ZJ4xo5C xS3ZK/r2C/eVOfLdFxDu/ARWOYGi+1BVr0r7Z+cRbTyNMguhnfhzqO6KDOCaov6gIUgKlHqJTDeQ ZYkc4JjcljQWcSZtdh7j7e+hceIfwbVMhCxJkym00YvIBs9gsPJpSmkCjoqakkFNd1HOtjA5+yM4 Sw8jCXdR5ClMqwnNb1SfYb9c7VX2pXykBRv7shPt8rvp/oxSxp3mM5Dl4DeIx6eg1w7Baj+MQhj6 tH1neZqhN5whTAs4jgldX7zIpa+92I5KP6zYk1W+vN9WycKU4p7DLiT5XpdbcfHvR7NdTIKRlMx1 rymOOFEaIOwTp6RLzkXcRZj4JblbJlyjLjepMK54XMQxm7UbKASUEhu9s3NumopZqCNNbWzvlhe5 ZIupnDiCnsXwZF/M9/m+jylPm4/zCFaqWns/4yg9HYlyUQpUYJfkOL2JK7oE9CyHlSYIxuS7aajV 7SpoXXZM3vClyipI8Xy4XpZ79b8FBqMczz4fCEXhhz+b4NcvTjGZEoe99ZUB798XNhPsDjJc2Ijx 8msRnvp4Ax//UA3dFtkAyq0tCSvcSqt4VgZ5VimsbAYtC0WihWYCm7GJCBXdIIhihDGdVnI4qolJ UHXwwiSTE5+qCQQWqTzAzgcDi0M2M7GYS53NUeYhsp1fIjn1H6DlY9hr90PtPIDSWKt4PdMLiDee llEfedBKSlNFboSlTJwmcjcmNUHkbHQTqW5ICZcXK8h3QpRpBNVqICoszJIYnkFC11kE299C2X4Q w6QrKp4KEmizcxif+RbKLILZvR+K1RWemWo4KFWlCiaWORcOZPZSuc1UYD0bCJXcXHXBXIxGewFM tMCqn1daYBVFQLAgwX6qgBiNXkW0+UPYxZOwOg9Vcj20pyefx1SE9zQLM+Eu1TRjz9X9cs3vxQiP nKjkdu1pX1y6OFolrXPRFCuuwGBE5sby5HMzYFE7i+qiLb8rAVTKV9kXex9ZgNz+OIbRKOQNrDnx 9dKs4moZzcXMZ3e0Bc/2YVnOnLBciRJpl3e9kgJaksOjQ9D8U+/bnOr7+a5JaSdG7bFMWjowhf5f gkZD/P2qw2z0DS+bK7d5jgW1OjUEpSo3b9IeSHlYBK2KFHzjSYR6g0KN8y3AbFbg9dMxfvSLCb79 gyG+/9MxRqOKfPx2q7jEMSkSIc5tJPLvybMhPvHBOk7c5aBZryg0V1s3FbCqIeaKGCqzgRwuLgJo OUcICqEDbMcGgsJAp+5huVnHxu4A0zDGYBLIhbA9HIsoHC2myGuybJ5cJrS5oqihKuh4JsZRKqDp XtMpj5APX0H4/P+CYnoezYf/Esv3/x5ScwXJNJMAp3oHYE9OIpttQbFbEhA4C9d0qR1enWF7wUKw sLn+lq4jLTNk07OAvYRRXkM+TaRTttztYhwdRr78GBS/i5lqop+oKNMRrN5LGG0+g4OP/iV0qwbN XdszOeVBZ7lMxU9pHtAHcD7rWCmqVp+3Oinnd3h2Nueqg/xvQeWo9v3C5bgaPSGviQFLynNvFWb7 XujemgQlVSPZUGc1PG8m8KFLV7TbJAeo2qcS5C+7i0qWJUHo4ntfbZk6Nco4X3m1E1vBcvsgluZX /SJTdG266hSXCPAtFs+JIAqw1Lb3gtX+coXMeYm0SimTE8zIxL2aAoI6kKShSMesLx1Bq7Z0ze1m 4KmYFy7s1tWJqRf3RfX8LFaAZB6w9Gp7BNMhk7/L8+itXdxsLowmsWhqcf83ag4MsxKgvJGlzI8T uVrVdl/Msq61+oNMiJ5f+foA3/z+UDhU73RTm+83neX4yS/HeOnVKV54KcTvfb6FjzxRw9oKSdpv EcOSUtAgbmVIZ8eh1VJW8axmmYperMvQMoPZSqsu3UPftYXAOaGrcJohiDKZHTQcF6ZFWgHZ6RTR XeBTnAdjINFRzHIpZeQCDjaQnPwS0gvfgv/gfwn70Oehu2tywfGOX4HQGvTOvYj9deh2E8SZOcJl KimmwRhlHAAapUnYvyTzmwoNFjSdlu8ZJpOTKLsfxrTwoZFxL8YMBobaMVj3fQDQ61CCCEk8xe7o NRgbv4JepnD9NWhliBAuMsWQ/UHFPDVPK0Y5/99yCCvLd0qZk+Yt5a2u2yiJs2WzSsqYg628FnLi ESlUzYaiGlLm8mfE+AyDIysaFGqE5RHM9n2wug9B0R2ZvxSdc2vuOlOEMrOZl5zBCxFO2ShxoRnV WNNewLzJJS+d8yKp5tyu6HSVVZNkIVctpJO5RtnVzrlFZne1a4yZ+NYoQ5ZTiQFoetqekSqP8WoT 2BptYDwbSpPkWos3E2b6vHmx1HwjBIrqtiS+8l7nmNW+0uf4GDPCyjvx1lzljVp1IxkMAjnfm01f mkA3ukqWqXnV4LlEhuYaz3/5tRD/x7/Zwre/P8I0WHRS3yW+GseXxgX+7ht97A5TWBaw3G1Bvaw8 vCkMS8ZjWAKKPIwKU8lgpWMoRYowB3qJhn6qC/BL/OQ1oRDYWOs05UTlYPJ0EkDTDdi1BnSdQY+c nHlZVG25gPGTKEPHNziDW6kwpDHi0UtITv4tVGsZ/l1/JPgUT352wkQWV6sys8R6HKMglwvXMRRY aoZ4cAq9Z/8Os+EmtPohlNEuHUJhrH4cxtJjVJ8Dxq+ijPswuw8i9VdRpFMEmy9AiV9FvvkKJvWH kS59BCrB/u2ngY3/iGz6KlRvCTtnfowD9zRhug5KxUZCEH7nWSTjs1AUCzBr8I59HprTAdIAxeg1 xL1nEM+2UT/0ESje3QhOfxW6YcPs3I9S0ZHsPodkeBrW2sdgNI4gvPBjJIPXYXXug3/s8xLY8ulJ ZL1nEPZfgdl5BNbaR6Da1IGazwHSMOLsd4FwC6phY5Ym6McTtI5+DKv3PCXPudZt9foyMqX87e4w wWwGtJs2fP9KvtN+bO7SztZCQ2Lxahelm698x3mGyS5xXvkSij6/vEYVdEhj6Q0v4PF7P4qa07zm OVwB+rrgY9Q+e8Mzf147e3uJ2MWtewsCDNdcLAdJMr2wOZLssdP2q0HxmygL8zy/BMu61nrkwTr+ 4AtMJAr87FcTyXTeLfoHdzP354P3OvhPvtjFhx6tS1f6iufdaIa1mE+ydNIXdDAsOdlYumu8+5AQ OkwNOI4tNAVD1XBmexe745mwchfgpW7asFwPJoH1efdv/7tLa70ExlEmduqU0iVOMh5eQLb9S1F4 qB//HajukgSkBd9DIi8zPmnd21A5ksPMq4wwO/197Lz0VWT+3Wg++i8we+n/RHg43MauAAAgAElE QVT2a9DXPiVYk/xxFiDd+glUsy6dRdOuIU1mmIUFwt5p5NtPQ1/9FHy/Dt/pQm9+AtPyPEane8Dy p2AtPSFBxoh3MTz/Y0x2XoRZP4T6Pb+HLBxh68f/oyQW7pHPQafygGagCHuYnv4W3JXHEJz9V5ie /R7c7v3Q/cNQrTqS0UkMX/saVrsPYfzyl4BkiLj/AvJkAO/AE1DcVRiWh3C2g2Dz59BrR6Ez8xIL rhRl0EP/138N02/BO/BBJONTiM78LfIsRH78KSGDthvOVTOaRafvmueDSA4To3MxHCfSzPCvCD/X DnYyATSN5kz7CtcjdE0+UZaTpmGIccXiJsYy7GCLF+FldBa/wtqYVYVRUL3nDTASK1hggdjdHhyt xSIva32tgQtbIzkO7SYVGRbIjXLNLOhqJWB1v7j6PnGsEl/8XBMffNgXoP2vv7SFp38ylnL3nUy0 CLKvLRv45/90Fb/96SaOHGJVdg1JoxvNsARo1zgKoEkKbpHWlzF1LTBIdAHaVd1E2/fQrfvyksvN WmWDHiXIpY1uzsFQSwLa/lmqBSNdyjq56SsI4xy+rQsAP4l7yIYvQ9UMNNcfRyE63RUGIx+CLX4Z vK4CngRHtcTs/A8Rnvo6Mq0G99jvw2segOLVkTBb9JaheysSyQ2N3atfQm/eA1XzgDRkzYrMqqGg pK7h49CxR+G3VqVsS4cDxLqCwmwiaT6BoX4IjbLE+Mx3MTr7NPTm3XAOfhKKdwiaXqsCy/YzMJcf g+YuiQIoDSMYWLL+S7CXH4fmrMGsH4TePIEsGQpvjCVjOngBztKjkv0lk7PSTVJ0VzRfSrOLJJxA MxtQnQ5KrRqWzcMehs//a5GSdlafgNa8Cwh2Kna04UH3DgrtYRpQGYMd2YsjT5VaaxUsLnbXLudU zYF3W0cUs8SqHKPprrOgasqNal7iVZr9fM2Lr5NHsShFcDJBJQhlGYjyCOd2TokaKVVBaR9mW64E yMVIB1n8m/1zQk9p1jqiYc+bxWr3sGi2U9mB5hjXOJP3QPa9BuztMQa6t7j/Ka+8ttLAbn+K/igQ TKvSiS+v+7dXAu8LE4qrdaghigpHDhpo1KvRma99a4C//Vof5zbiN827esO1b/pkuWvgEx+q409+ r4vHH3Kx1GEj79os+BvqElYifGrVEaSmFUtBDjMXGUJ2dlISQyvjCC6dej26irrnSAuTLHaSRlV2 Ak22rUkG1WResNJRqO6axBRMIqjzdH+W5HIB8D3ZcyzjgWQmfvsoYsNEvoeZUBaZ3cDqDkNMhcGQ wHxw9mnEwQDeiS/AaRxCy9MRpAMpm4zaIbhuA56ZA5MestHrMO/+Z7AMD0aZIoGBIJ+hjHdROIcw TGxYBcsDC8FsB9G0B8VqofSPYVi4qM22MDz7Iw7ZwW3dDat+BJkoROooMuJVQ5QsPbmN8QjJ+Ayo 8qYQMO8+DKPzEFTdgWJ40u0kv0zoQe4yzM4HEJ1/WrqThrcGxfCrEaAiRzw+D9NfhyYlsoYyHiLZ /hXCCz9C95G/gt44BuhutQ2aAat+GIpZh1IA06BSw1jQEwSg5ylOmol0zRYdzWvkIgrQ8EyEcSZd H/41IcfFbCVfi8eD9Ip6rcIpF903gyx1nfuGDYkcaRDDNh00PFewG2phbQ3OwTJdrLQOiHkEmzMD HqucUwQxBtOecLsms5HsC3aYb+yiWZz+t8+6PDtigGo1XIxnESZTKjGUcK4Y8n7rizerdkvHEw97 WO7qeOBeD//w9AhP/2Qo84NzHH+xlW9xv1V/X/d1fOBuRzIqUho+cI8jwbNKYq7/+hKwrpcUV4TB SoOdzRujTATHYVAZJpU8TFaqKLJCZvR0bYKW78r7Essia9owbRi0K6c5gq6h5RoIEwWzpHI5Ycii ukONA7PsHEQ5khwCuLsmCaqVt141S8hSpJJMrvhN1XiK+H1SDDBLoEJD1HsW8fA1aLVD8NYeExBa T7cR7jwH1VmFUz+IhmfDzvsYjV5DnkbQOw/BNGx4SoEwmyKenkUa91GufAq9aQrbi+SONeq9jiQc wG3eDaN1ALuTEDuj84iHZ9BZvhd+Y12yPRInC2ZGsy04y48LgC5l9HQD2WwTZuMuGMtPQjHblUqe cGcSZMEm0ul5WM1jsFaehMZMbnxaMiSzeQSlalbZmbzOBbgrD0Bzqs5YHuwg2vqZYB9m9z6AZWI8 Qjo+KxmP1blfjgkhggsXRtK9rMu4CJHkHI5rYjqJ0OnUhDlPOZQgiDGehHIRceyIRgudbk1uZMoc FJ9MU9F9MiwLnbaNJE4QBomoZti2iSOHWnBsDRcuDGCa1eDvlCJ8UFB3TZSGjoZTTR4wM9QUHePp AFv9C8LnomlEnqei0d7w2+KGE6exeCQSWvCdhkgiX0uS5nZe18KavDl4xvGx6SyRr68VtESvTdNE +M+jrdtNDOvxOPP5xw7bOHTAxrEjtpA5f/DTEX7zYoDtXjYX8XiL3VBbwT3HHHzk8To+9sEaPvhI DQfXzLljVdWPeaPNfkMMiyQ+4lbktFCR08gjGVAmD2U3IZqlVxZOBPyKArvjaSW7QqPPOIFq2jAZ sDRDMiEGmarTQ1G8TDgxHLLkBUTGNgMUdwt/zlY2R34spwmrdgDB6DUEOy/B7z4pBhJS/skYToY0 CjGe7YrtObONpP8CinQGt3EYttuEo0zQf+VrCHovw737H6PeWIJvlkiHfYw2fg3Fbgs2JiUKtyXZ hTo5VXXylh5BVtL5OEIcThDsnoSmlGiv3ge73cI4jDGbbELJYljeMmzLl+6clpeIes8gT2ewlh6A ZrdQxGOk0wvSOawdegqaf1hmtMhLkgCQDJHPKgJk7egXoDeOo4yGSMbnoBs+jNp6hVHlKaLec9Jt NPxVKfXAIBbuIO6/CKd9F1S7CbUsEPVekAepHFbjuOwzfn3q1A7yNIfJcixMhRC5frCFk69vY3W1 iSjKcOLECobDACdP7qDb9dHt+Hj21+fw2ONHMBlHiOMMpqXLc8+dH2F5tY3xgMOvHDBXhBHveTba LQ9bWyE2NkZI08qdaDSJhCx574llGOxqJgE2dwJkaS5yNmWqYzYNMJ2dgnuM2cZQbkid+pJQJCIq koKyQQyet5Un8HXXgtR5I9rsDFq8WTO4jyeVcS05kJcvDkDbti2CfQxYN7JYAfV2U7x+OpJxnKWO jofvc/Hkwy7uOWbjkftdfPPpIX7yyxlePknvxeRKhYYbWIRdVlcMPHyfj89+vI6nPt6UEjQMC7zw aijjOp2WjruOOVjukGWgXB/DKt9Ak51EUWYwlaNNCJa341TFNOeLG1ht14VzRFE7yq1Q/WAapdAk s7JEj0dn+OQwJCWKJ6m4CzcdHaaaYxrnkmmxDGTAYulGjg9HM+KshO4fQOPAkwjO/wi7r34d1vrH UDrHUBQOyixBPO5hOjyDfPwC1Pb9qPkdlHEPZZ5UnJ+4h2T6Mi786v9ClkzheA04eoEynWI63sZo +3lo3jrKYAtpWUdmOSjCLSA4B1W3YNp1FMUI46kFNe4B4wvwWDo276pKWUNHJEPZBlTdlq6Okoyg BDuYnPkWrNZxOCtPQrXbyAYvCE9MdVfhrH9cQM5KGbUadyqDbeST89CdZTiHPyfZVDp6VTI1xblL ZsqQTiqcb/PnUA23oi8QU6Q7TjpFFuxAX30EZRagCLcxO/c9JMNX4XRPCA5YkkJh1NHfmcKv2dje HmPQD2SujcdoMo7R653HaBSI4zMDzOunthAlER597Ah+8rPXoRkFzpzdwc72TOZJCQyztPQcFb/4 5RlkaYqHHz6M5SWvmmW0dPzkpxtYP9DGa6+eQRDG8Go2lleYFeXIE1qRDXF2i9gds2qWqiXq5ioU PRVcikTf3nADYRJIeWzqduWIc8N3/ne/DFwEqZsZn6nklRXJcvvDGTrNmuzT/VkUsysGrcVUxRtl WAwWZ86n+PYPh/jKN3bx4qshThxz8Z/9xZoEKpaHHJ157EEfP/7FFP/3l3v4ya/GEuCSffzI6y3D 4LC3hsPrFp76RAN/+sVlHD9iSuDZ3knwq+dD/P03h/jK13dw5LCDP/pCRwLaXUdtuI56813CitVe AaYU49PIDSrIo1KwnZjIC2JHGuquDde25v5+zJoylHEOw3JgsSMo3JuLbxpmBbZGMbq+LsA6sZNx yKHdAsMgRdc3RMqEaSJ3jmYtoXH0kxhv/BKj178G/Px/hnfXH0FpHUMeDhFs/Bpx/1VYraPwVh6F aTvQTBd5PES89VPMDGBy/hcy/qOZPrLBiwh6RxCVFoYDBrML0GvHEZ7+Olrrv4W8sDGbbCENd6kW h3zzaRirn0FGPCe6IKTRwO7ifNgANnqynaV/HAXnB6MxkrAPhD2Mz/8Y0WQb3Sf/axiNo1BUHenk HMpkArt5j4D+LH1FNmSuMxXPNpGFA9jd+4UQysCUjk4CeYp8to10eBKOw5/nSPqvwLB8zDafQWkt wVl6qOJsqUCw/SuYre8jHJxDNj0NzTRRpmNEO7+AadSgGtSQYiYUS8d2eamGdssVsJ+dm2bLF+G5 za0+huOJmHEoWq1yy0aKcxc2xeNwebkhJWQYxjh27KC0p+85sYYXnmPQomIrR0ZopKphueMKzyhK KEan4eixFRy/e1XuqLqaw6+5iHe30W3ZSEwHAWGFbBuTeAe7k22Rv1lqrqE33MLW4AKWWwfgWsfe YMB5oWCxoLKzi/rOy5HuDyBvhvfmsjmiOugPAlzYGGB9vSWJxOWu3aQ0kNrwRsTRV09F+J/+5Sa+ +g8D9PoVd21rZ4JnX5xJYPmj32njgXsr1vnvfraBDz9ew7//yi7+93+zgZNnWepzeuPqn4MQDcFz lnuf/1QT/+wfr+LBE7yxlkIpefn1CH/797v4my/vyJgOD8dOfyrqEGfOdfCXf7qMRx5g3/kqzZ5r t0kr4THdYOmmwiipxU7bIaqGamIYwTWmnlV/hAMdTv6XOL21i1EQSWeMhpWawgn9S3fcwip9OKOS ImTYte3pGIcUK6NFei7Ow45dSsucGJnZvBtrH/1vYbTuRXThaez88H9AjyYRpgO7fgjtQ5+Ge+y3 UKi2gPrdu7+AIh4hHp1GGuxg+bH/FNuvfEvkaWqrD0NtP4zMWKa4EnRrWXAv9/gXEZdNuJoO26lj 5i5DVXSYa5+Asvw4yiRBevZ1CdqFcxCq2ULLc9Ft+Dhrcn7tz7DT/xlmz/07wVgMt4v1T/x3UBon BPAWEF334XQeEb4VcSt2MykIKNQRDnWbDdhLHLG5D2VZTVMqVhNm8xDM5j0wuo+gtJeAeCCZW57N 4Kx/tMKmjDqs5t1o3f3HmJz9FmZbz8A/9vsw6yuItn4K1WrD7D4qjHwe/ocfOYg0yWBTooXjMXEK z9Pw1GdPiGM0carxeIYwjgXH5Oyo71p46qn7YVssTXwxKJ0FMQaDmShctFoejt1l4+jRjkgPkenv ODpcz8YTTxzHq69t4AMnHpKhcJ1qGZ4p2QK9/PJCQxyyy7mLlXvXoSzVMJyWsCYOTC1DzW1I9rrU qrafmNW1VuXCREwzRm+wif6kJyceR4VUtY2Gf202/P4LpLwNgtVimZaOTsdDb7fEuQsDHFhtXFIe CrHbsoQe8kY41oFVEx9+rI7XTkYYUfdd5LYKjMfAv/y3W/jat/v4/Ceb+NM/XMKHHvXRaar4y3/S xac/2sBff2kbf/v3Pbx+JrqyRKSpbV3DZz/exD/5wyV8/IM1oSloWokLWxn+5svb+PLXdvHSqxGC kDJQi22HYGiP3F/D2nLV7b6pLuHCTEJcmZUCOmfkShpHqBgKdqWKYB9PZCp7bqlj0VQXtjIHme1K 9+eSgzX3KGQ3kIxh4jaTeTlIzpXv6JhFGYK0gBbnEqUJxrNlnpc6rMZBtO//cygnfgdZEiIN+nCU GSzbQqAeAFRHgDt2DO3lR3GAjHfEUMwaUqWBI08eBvI/Qaw0kap1GKqO1vL9sB/4r4S1HZQ12JoG h7Ns7fug+EcQ23XYS/ciLk2hdufhBhRvHc3DH0b3QCXlwbEjjhpl7Seh1u+CZwZYssntrCGrHUKi UjFiLku89CgMvrbuVIz2ssTzz51HSPYt91HqQsNDaGodHF8pcObULnY3DyGN/gC1sIXloI6OB2hm Ha1H/gVefXkTk2kbKw0TdZo/KG3s6E9h0rgPH/jAcRj+ErTGcQTWQ9jajvDaSzrcxhYOH+5ida2+ d6IPB5GoUnSXajIkffpUD7957rxgWyxVWdYrSoDz56ZoNl14rotz54YCzh9Ya0iGFsc5ejsTvPbq lrzu+npbAH1mj8zktrdGaDZ8eQ9mXsNRhHNnd2W+8K7jK8h4Ma/WoJ4fUboSSaxiNrVgahYOtCnB cqm6xGUsPvlJksVCbxhKNzGD63iwdAcHlo7AMtiB1MSkYm+g8rqr6o2KztolT69GhOTn71Cwmr8r mFURRxwOp9jqTdBtefBo3y1yzJoELOJYDhVjr8OlY+b0+59v4d67HXzju0PRvHr9dCLnKU1FmPl8 6Wu7eO7lGZ76WBP/6He7+MA9tpR0//lfrOKJR2r42rf6+M4POdbDhgChEQUffdLHH/9uFx99goC6 AdehKktFTv1f//U2fvXcDDs9mrlUkYod4VZDxe9+ros/+b0OHvqAi3bz2t3ea5aElXgY70YaDKRQ C5IxC8QFsSvab+lYX2rJGA51rGgYQS0rdoxYflDeVVjsF9kHe/ydlkv8gWMSpeBUMkeGQlrrrqlJ d5ABQLwAc5oW5MiZ7nLm0GlDVdooE+o87cDXhtC1AnmsSdfIsuyKSa17cJqeSJMkGQ1bAdf0EbAG yxQ4NEiQ33mI3HV4RSndirqhwjc1JFoNqVGvvBSjk0j0o8D4FQG2i9o9CM2D2J2QGEtPxSobTY0a Mo7HWAk0J5OTi+O37IWxISHcpJIgqi0Xm5rTabrAl7/0LGbTWO6gLMd417z7HgWHj6/jW998Ea++ slXNEmpDNJpbePSxQ/jkp07ArB3CD391Gpq+jY99oo56w8donOGnz0yxcT7FPY+toVRMPPt8Dz/5 4aYEGAK4NF3l3z/5oaNwXVO24aUXN/Dcb87j05+5D/fcs4znX9zBb549g9EoxGzGYw/x26NK5qOP HcaxY1189au/xmOPHcGBtZaA7N///iv4xjeekwPNz9pouJJVPfmh41KGffc7L2OnN8Gf/dmHJJhN JiF+9INXsNOb4q/+qouaXcI60kbRMqH7LqbiIaphtcPGzcVi4Fpg9TQcSbDihdqud0XsTswaNHao 2RjS5YYWMFNO31j2h6VkOp2iiGLklPF2eUOkqm0u8jx0GdIJcF8jk3kzMi9vtBRx/NbQbLgoRgGG YzrylKj5c7lDRanOyTd4X5kMaWly41lq6zJ0/J0fjvGN7w6w3aMzVCkyyM88H2BrJ8PzrwT4wmea +NwnWwLOf+ojNRw7bMnc3w9+NkZ/kONDj9Xw5CMu7r3bRbuhiQb8j34xw9e/O8APfjoRiWUy6qvh eqDTMvDEwz7+8Lfboo1FIL6iN1zjs1+rJNxza1ar2S2DWUqZyh2QjjdJSUzCQNN35EKN4hSTIBKS qMrRG5PibvtAwbm2EuM9N4YbzN8ze7LnGRSDF/9lRsfSKI4DaOxKqjkMdS45LCqm1OqmdlMEW09k 1ouyH5bGYekQmkP+VyVEx3GOhY8hszoC+GnBeUhFsih2AEMGYQZZDuVS13T+ueXvcjrCbGC89W0U y59GOngVWvs+FP79CAobRRih6TkyW6korjD7uR/4mlHOObcCWhFDke2nzx6dpKsLpRoiNySzk67c WksCBbMXllFLK3XBCM6d6WM6TfDgg+tCOTh1qofvfedltNs+Hnv8EM6fH0mWGwS8y3G/ZdjaHOP0 6aFwoM6e7eN733kFm1sjHDrUxvJylVXV644cA67d3Smef/48fvSj16V0O35XF53lBh5+9Cj6uxN8 /+lXpUvFIEdca/VAW2ZCX3llG6srDQwHIZ5/8QL+7v99Bo26jQceWBf1gWd+dQY//OEr8HwbR44t 4eTp/6+9L2uS4zqzO7lnZdZevXdjBwgCJBaTECVC1EikJFKkRrZDY4cdliz7weEJ/xeHX/zmB794 7HCMbUVIo5BkbSORECWK4gqSIEWKBIgGGui19qzMqsx0nO9m9oZuABQBmtTwMrrZqO6q3O797rec 75xVnHvmLdSqPp586gQGQYRr15q4erUt96e92hO6ZZ/KRpw/vSF8z0DR2zpNtzf3MvRj4/Nya0Fg KWWvhoLjZbisW7E97D5oZKNWG+HSqvxsFn0xUhS/4JwzSOPteTeEXh+FTqBtW6IuRYLGTk81TXNe r6yuScfJ7TI3MLSnoRhv2FIZPH6EhquFF893Jbc1CFNcmh9gcTnC+1cGOP9mH5//TBkPnCji6CEX c1OW5Lo63RhHDnhCgUzKcNIj00g9/2oPL53vCKaLxJx0S0n5zMQ6w8svPlzFmVM+Sj5Brzc/111D whzIyUVF48FFpxM6kAD9WEOcKtQyWRhcAkHJPGoRWzWCxrwF+wQpTmArMJis/YyFgG50L6SabSre FD0tNjvbNFj0OGJWjALY+gi+zfCRTb6KnYCMoTRGI5LSGJEIQzD846KnujPBrIKUz1p1VBim+tB4 fN5I7k5u1qdENgh+8Xd0UHm/+tFQEeJlBpYl9m6Uwu4tCuDSmXgQqdEQCmQWJNiKRCPF+1Ar+VIp pWBAf6SjZFFZegSD2kCaMoI0WlyctsWGa95+dS7lkiNQgsmpMmp1DzMzFTE+HJOTFXz+C0cwt6eG c8+8jZ/93zfw/HPviad145Pb+Ilfr52/gkuXVnDv8Wk89fWTaDSKAuwU4RBCB1Lg4nvLYuT4jwtv XEY/OIEj90yi+sBerCx3ceVKU1RfnnzyBCbGiyJS+urLlzO2B2BpqYtXX72CK1eb+Lf/+inJjdGV 4aZ27pk/yGceOjIhC7nVHuAnP30d9UYRY2P++m7veQb6QwNrHRIm+lKg4P333J3Dg82VMBYCrq68 LwWDaq0hdDa7T/kPYLOYFqG8WyYrZnBjskykRO0PKUpy47l9lHo9rqvyooSH0GgFOilqOhgba3wg qhk6EaWijlPHfcFJHT1UwNO/beH5l7t4690Ay6tDSbK//Fpf1HBeu9AXfnbmp44d9qSSyJtKOuR3 3w8l7Ps5varfd3B1kdTKPApFTHTs3+uKV0X+q0fOlMVYqud4ew9l55Awa6RkDsvQYsUKkCYC1qTg qZC4jZTSMoUdKGJKCSKyhIoUFhkmNV1EDMQ48O9FSp59X5SjT9EPVSgoBIBspibeiu52wjL6AJV6 SQFG0wgQj4qYLK4QpRbNpIK0gxFZnbCjXmkb0uUX+pZMQSYf9K5oiOjVibIuw85hCpKkCKCVVMpx jJ7QJzOhS84sG07lEPzGMQkFddK3GK40YydkqjC4K2hYanVQKjgoF1l6N0RUlHJmSvKPqjsj6Jqz Pok2CP1yRjmI5xRFseR3jt8/I8Ypa6zI2ls0VCou9uypod7wcfny2i0fLt/73rtLMrHpvU1Pl6XI wXUm9DHESQ2GePsP18WIHb9/Vry9N9+8hpOn9qmiC5uO802MHBFJDFKEadI6xJYrXQw2oRH0nE4c m0WBFU/bwOGD43jxhYuS16I4CUNRYrl46Qwf9+6ti2dIHncapqJfQ7jUw9JKANNw0KjYssHsen3Z fQzCANdX53F0z0m47A+9rXEbPYeMAho1WOWi9DxSpZoelioLC4uiYtjY7FVlkmak1JbXhdFBbfDK yOp3FDPmOBaqmdEiRY1hkAP+1oo8ivNLQ6cXY2l5JB4SuxFmp1089kgZD5ws4rcvtPHDnyvDc2Uh RD9IEQSp8GZdeKePV9/o4anH6rj/XkqJAfNXh/jlsy387Jk1wXZFqrFD5lu1bOG+e3wJKx//Ug2H 9jvS5XB9kQpPIxQ9AxPjpvx/N5aKXUJCFQ6yG1/YThIaLPU3DKeYw6JnQXVlelgEiq60ydGUIGXr SMYUSmPRDUbQCoYk1H1pBtPEYBEQSsUbtn/QaNGr4kmSJpWULBWfAoy0vKRhUS4/w6OcykR1r9OY MZ+gIxjaCNISPL+0vrgkBStST4mIshKl7xqU5YrFeI2oNsIF6VjokoE0ZP4tETwZr6VHWSWes+lB 82cyWhplQJj8ZU8fwzueE3m/GBaGI1KgsKrJsFkTvBqBmwypmQmk1ypimALr3RqgUN2XmCgiywuU pcmNWR5V59Ms623JpbvWPyP7ltHRrT9NGkHm4fi1YSQ3Ji3R7pcurkjT7cmTc1hd7uLcr97G4cOT 0Eou0gEZWZlLjDHqDRDqscAL9BHTBCyfk5+DpHwskuhwixbA/lHmUYbUNMwUhQQwrImH90/+8Wn8 /S8u4Ny5d2R3n5gsZkr3KebGp9Hu9lAvWZio37wVRUR0hwowPFWbQ5FAWeLhbsIyoeiTN0gU1xlH d1wh1BawxMvaMjatqJ3yaUz8rxKGQcMkrU8FhWcbMYVRQE0qlOkdDQ8rZeVIrK7dHmSDXk+rQy6q Ln7w0xW88VYXJ4+X8J1/OYUDczbKRQNfe7SKE8d8/PyZFv7n9xaF373XZZGMx4nxo1+syfvpNVUr Bs6/3pP8F9c0B+2H6+jSI/jo2TL+3bdncc9BknWSwjuRCuXPnmlJxfGeQx6+8XgD/+iEh4mGtSN4 dMeQUB4kw0FhU9BEdkmqYwnlr3SymaPoOtgz3pDkXrNHcCHxUwP0iZmidc8WEw1D2Buh2R+JZ+NZ hoSJJddAWTNU0n1Iqg8yjxJzlQh9bZUCn8IjEkmTaxCMpO9tGBsYgYbMhJFEYrCgEXNVglupCUh1 85Il2j4c9BB2VhFrEbpJKtU+0/VRLpXgsXl3ZCAyTZRiE/0RW4ISNIquGG5OfQIAAB97SURBVKN2 yC3CFsyTJlxWebishCy7QYDLi6siAEvA7LW1tghY0PsbprpoMbpGIpxZ9PwUZbJaMMIgSucq68I9 eXoOjz9xH2Znq9s2/3xiK+bQ1ZW+JK6PH2dpPwt31xWuufmrRL5iKwUaY0XMX17FynJPdlR6zdIg PUqgWwbOM5S70lKN7fZVtNsh3nl7Cd946hQmHR1hv49Y1IdiDAcDBOZQmBRi2Rk09AddJFqAgqdh ZaWDlbUeJscr4oUsXO8i6A4xR8KqaLhuSB88cwBuwcZ//5vfSLJ/YvLwpsvVcO8+FWLc3Efg3OkJ y2hv0MeRufsEQpN7Mjd9Z+aZiceTc7p/wCpenkPL7/vGWSVo99fw2nsvYaI+Jcwk48YUWr01tPtN YV2tFRt3nCXCtgwUiwWstTlnb/3371yM8DffXcQPfrKKS/OMGICXLwzw479fwV9/Z0YakvfOWVLp +1ffHMNjj1TxP767KBxaC4tMzVBgBbi2NMT1JVUlFO8y34gJbyiZ+MzpEr79zybwl1+pKtoj8QYT /PLZNv7Lf7uK377QlZz0y2/08dOnm1Ip/NY3x3H6PlZ0b7yQHXxTNVHUwqKHEElvF8NBAkbJV8WL Y7c/vRFikKgbqHJFpmLxzO6YEjxQS44X2GPDdKRAknYWbjDXRCNGg8UcUxybgg1ioytphdvdENFI h+U34LBPLGtw5e6eUwuzkkSPR1gfMmEBNejFRYLHgsa8WAqbbwkMhKGHwB3DEA5C3YKPPsZcE1dE MTpB2aXklI5VaeTdOimFz0A3hPur3Quk6kQDz9eZy2Iei2+Tyi3vC4n3yNtFOmieP0kFJeTUEWXg u2sLLZw/P4+rV5uSdK/WfExOMkGuCdjylVfm8fLLl/HC7y/Ks/n8F+6RBTO3t4FfP/M2nv7l21i8 3hFv6a0LC5JHYiXrgTP7ceGNq/jFzy9ID+D0dAVLix0kaYwvPnoMb7w+L8lv3yuiy37BgolgEOLF l6/g8OFxFBoVkf4yrREKNVYiHVFedhYDeY78b2a6gdOnYvzql+/gP/6nH+Khz+5Ds9nDM796F46r 49B9ZO5oYtQLpOLbbCvE/JUra+hzQmwbueDIjQZETSie+5Wli2j3VjFWncL+6TmZd7cWr93waWVb 20YFrH2Aat9uPP18qehX8eDRs+iHXQlRHbuAum4JV5ctIavaNO7E0LacM1MumWjEZjhF9m0zdT3T clx/2qZriUcaFldi/Of/uoDfvtgVZRt6RrMzNqYnDfz7b0/gsw+WxSP6xbmWiFQwwli/jxL6aCh4 uhgqwhv4fqLmeTzu/+eea+G7P1rBs8+3BTqhvDHl6dJHITqe82q3sYPB2ujQF1oPsmMilfCGIaEw KQxCvHdtWRLiXDyD4UhabpiU3C7BLURt+Q5GL0FoBihPTiL/FKNEhZ5iJPndsNDtBdIwS+zOECbM Ar0o5oA2QKjUKcxJ4MSrCPuIRxFcryzGK3+YBLBq9VnF8sk8XBQiCbswKUUWLCM2a9ALHq42V9DI mCQYEqr8E0POGxOp4iFJsylDYA1zEzUxPsSh0YBdX2tjFA6lmiq0CKIHRI6pjLI443vn9ehajGqt INXA1dW+JMJ93xYP6smvn0Sx6OL61Tae+8078vPePXXcf2oWBw6RPz7FI184jF4vxOX3V3D1yqog yE+e2oMnnrxPdt2DB8bwtSfvxwu/v4Tzr87j9fNXBMrwwJl9mJ9fQxAM8dmHD+Chzx6UcJQA0O9/ 7xVcuryIleZAqn7lSkG8OJOUz5SkZ0WKVeKaj3LZh1swceRoHd/+1ufx62f/gJ/8+E0FBNw/js88 tA9nzuxBGmsoN8poNPooF23JZT3yF/dKiN5e6wqdiYTTrBRbqsIs+c5tqkOXFy8jGPSECdZzZqEN fSTtEYZpuD4zNr7nYTM9eB0Dw5acZX8YK4K4nIYiX9jbaXRuAkvYzSsTHn3Dge3b8EibLSGqjtRS 0nNKYv5PM1bazfJSOQ1GmqLX5wbEXPJmGPxWIVVSEH/rm2PrOKynn2vh+qICcq+ujsSgXLo8wNO/ bQpa/Ykv1VGr0mPyMDc1hUceqohc/a+ebWJhkdAeFpI0nDlVwpOP1fG5B0o4uNdBrUbkPfDaWyH+ 9nuL+M2Lbbx7McQaGWRHxGwybAQ+c7KEbzxRx+fOlHFgD9f6zte6Y/Zvg0pETIw88BET25laC2lf yMjABd3qBxIOJRrlpjaqXpsHj80EOquCyg9RFDLCHJlb+GzfYXWIUKlOp4cgCIQpk1VH9aCp5qw+ k/+SzyLvdhRg1L4GLQmRWI70MKpEJ6s8juQSxKixsZlc5HYJenAd6TCAY4awihWEhoEB83DMOenK EPGz6QlSIUXmAr25bIKK9JhhIhba5wiNkifeIkNJLjrh/RaFXNpJSm3wPiqlX0InBFKQpjAtHX/1 zx+UbnyVYkph2SYmJkrS0vLlLx/D6VN7BcdVKFgYHy9haqYiho0Vx8npMr781Xulykd2BCbYJybL 2LO3LtUzy9Zw4tScvG9pqYMRGTB8B/v21+X+f+2pE/I7JvkZFk6HZIM1hDKmWHbFYH31K8elYun5 FrphB4NhiHJdx9e/cRSNMQ+aPkKjUcDjXz2OfXtrElbS6BCYOjdXE/wW264efexenD69F1MTRZkP B/bX8cTj92FttSee5ihKxIASSNwfULmHat25eo8K9HWtIFgwz/VUH2GiSfN5XbCThLHQU0/BAqsI ZGgQpo5umIBUZ73hUNTNSgXrpkyetwv4vMGIZN4NX3W2FAyMD22Y0luErNygJho+Fld6mKNq93a6 nU1vZ6/e4QMuGnULh/a5AlNgTur3r3QEytDpxHirF2BhMcLFywMRimBv4YnjHg7uczE+ZmPfnIOT x3wRsSD04Ytnqzj7YBEnjyuqGnpff7w4kET8M8918cKrrSzHpcIvnsOhA44YQwJNCRrl+dAb223s CmvYfpUMBQlnYKMvE+6+Y8tvKN9FGhnKu+cqMNtvvoRQQgKoUO5iTDKUt0AKsp+ZY6E1jk0b7eYK 4mEfpluEyQZqUyVglSemHj/9rVRLkcYhRv0VWPoISTQQI7WerCZ4lcfUic1KJYmqk8Z4RC+oJ3AN glxd24YzitBnQl4UbnJoRwbN2LYvKmEHGqVYrl/Ua0Im3ZVHkBssmb9MOEuCeitnuUrg63jo4UNS TKBRVfdB7YasWh49NrW+XPPcIP+W6tX0eghOnZmrYnZPLSfzlIXNvGJMxCwRyK6JA0fGcfBw1o6S LShywdbHFASAxmtAn13XcPS44soveJZ8MRnPwTaX62srcG1PcGBnzx4SoyiYOsuFW3YxMXEYUae/ joMjJECjd5YMcXR/Dfq9U5nAhaIrPnJoHKN9dRXGa4kSXyBoODP6BHvmNDa8rolGQyrQUnTQeM4x OoGOhNRE0KWtK6ShMpWHzLA9MHWB5Ei4O4qlMr0bXGLzAviTuO7vAlj0ds/FNHXh0KJCd7MZoFbN K6a7hbqktzZx5lRRcFHMWR182sVzL7RxaT6STaPZikWs4uLlEG+9E+ALnyvhM6fLYuROE+y5x8Hp Ex4uz0fiHc1k4hFXrrG5uYdnf9fB3/+6ibffDZC3HvLZTY1bAjRlUzSFVck6eiv9SbnGHVm010F5 mcvMvJVgtjXZNSgnT7AooQ2Vkodm10IU8rc3Nlzm/2JCnXJJnCzivaznydhDp1YvcUoJ+70sG0E0 AJh7QoJRoQSnoBYWpyXFO7M0B+KYFalASHZ5lnHYhukUAMvdFMcrI0llYYnzqYzMRLhGg2lI6Ka7 BfhhjDAmkJTUOCSMU7LgZD0l9oY7v6KC2VDfoTGj7D35wgheZP8cjfpwGEm1UOj9hdpXVcrEOBNT RrgDPTQRL0XmmREFnIlurAc1G939XKBKEosJT4XnioaEkyijqo6SYdakVpKxQBCewvB9S15jYwEo MkBlLGkUiRDni3FsCDSFXQ3k9uoOOhhEgQihKt5whYGSQgS92KwaGCxcU+V83otKSbBLg+VV+bvi gb0ZC6Y6WzohhJXw2HbK4ymYQNGLhXWWoVtF5Li2ZJuye8YNgumIIQYJhVp1XO8ynxij5ikcGKXe w8REqaDBL2gISGrBqmcv54XPnCKG6ETTZ9Smt2t0bqY3+aeOD2PwDEPDeMPD8nJfulAEAL2p2+TG aFSlKuo1A099uYb7jhbxo4MunvldR7iwri1GsnaJdv/BT9fw0msdfOlsIMR7D9zvY3baxtkzJeBB xRS8vDYUrcFfP98RNR5CH/o9bo1KqKRaNXF4X0E8Kh6P8AnnNnkJd4Q1bCzErK0mK4Wvy21lVTiv wKQ480gKdkBPJwcryt9lu7ixjolSQE0yjVLKK7+56ljKEK1nHkgwR+rbpCfAVUIDuAgFG6bWrVRj SOgWBk2hDy7bVEIhlOI6hswveTUJJ9lgrJRhFCh1GIWIuquwhh3BqyRs0rYtpOUKoqUeSiQqZAGA cAhiv3wX1aItCP52OEInUBp1OeSAPxFESvkyhoID6i1m7ToMX3ndm8NxnodKytM7UnzmcQa9oHeW y25t8ebWv+WfkenmZZJcdLHXRVezB6Wiy8w7pgT9xh/tMLbShWgaYQpAp6fUd0im1xt0sNpZQsEu iGEV2h4JbZXgQX7exMuFy00koxGMgguNec3IQG9hSTYUb+/chnSZJH3VsbcrNBPdzn6zVjeE62a4 p2zF8Zg0Tv0wFhpuMkX0CxbW+hqiiISBtNYE/ZKl00GRPVjZ7eHcSbohhtK7qfKpymDpsMcq0BzS 7ygvWVvnUr87BudPqU7ezmdWio7AFmjwyVN2OyMHix/ca+OvvzONvzhbxfd/vCJtNfSumi1F4je/ MJRq4fMvdfDUV+p48rEa9s8xAkoFUnHu9238779bwkuv9dDvKzFcXiaph6bGbXzuwaIITTz8YBnl 4gcz7Lsg3ZU3wp1W6mBZ0l0IOrh79kP8cX5RcVwJUIsMoQwlFGfPRqIT6yEg/y85GxomJp6zkC4P F9VaU6ZQzXsNXqkKDS2kQ9IUryEauHAcTy1wNmhGfYSdJRjhEnwjEGkg/s41B2j1LyEMu9C8cVhu SRLk7EmkPFfcXYKXtpSQpzsJr0Q4hI2hVsPVxQWUmEMiJbRpyHH4uHmdyZYr24Aa0EhdXmpulESz kXuN27mFOTkJB6FB3ACSqtadzUDX236IuYHaVvHa/jfq17fvNdDzZGtR0GuD7CPt/iqWW9dxcPJe BP1APKpcHXrLexkezpLlgvzxFoyiD504IdtGMoo20S9vrbLl9mjzFCYuix7d/PUrWfFCva/okaG1 gn5kIYKPSr2AhMBlhy1XTFMkqHpKSGPzOUrOyjJgjJXgEC8mbLfqevtvzSPxXSbAEK915b3mvlsz OnyYcTdCRzV01CsO3ptvClvpBxUcJKX1iaMu7jkwKwn0//V3i/jb7y9hrZ2ATjvnKb2o996/ih/+ fBVferiKmSkLP/jJMt54hwBTZajyyl+hoOPYYRf/4d/M4NGzFTQaZNfdEJP9IBCPbQZrM6iOX9x+ NvIqedgWcLdma0L2Li4HAjC3ENwT1Vy0pFcwrwLmC4e5iY2fsx1WEOvqHMSwWQ4iowI7GcBJlhG3 2ghSB33NFsI/EtY5+gCOMcIgZc4mPxdiY5jLWsag2xRmUibtPXMIVw9FqZotIIHeAIwahiMN6Wgo 7T30tsJeW8r29LQYEq7GwEI7RMiFxkLj9vK2bNn5jd/8i/xabkzK8prp9eQKzh/HEQwS1MeYPPXg FywUujasgo7pmZn1/N3OQ4M/o+hf1OWre2BXK7JwCBjuD3j9ua+uXFGGqwVXE5Vu5ZGmKPoE8fri 6U2NFWST4f1vdlZUesIeh8XG99EIwzCErdmCxm83O+iuBmJ0yMI5NTW1PjfUY8l2Tn0jMDbHyxiu daVPUHby4u0i5j+OI5VrjwYRWq0uev0A2F39bNdBgOeJYwXMTc8KXQxxWz97uoVuFuIRF0zw5+Ur 18VbJq8/K7tCOUOBWws4vL+Af/FPx/FXXx/DWF0XQKh6vJvj1Nsf5q6gOrbSEElO1z9V8uIbLqy6 KTugUNb/R0zVSnckiTR9NIA+7MOgIWG5WjPV5xLPL0KqxCcpw8ZKGzmiQB6q6hjCToJosAhXC+CZ A+lR63di+E6KgqkEJzYwNWqBsIXHNhO4pBGmb5xo8DQye+qIzCqMYh1FpwJYDlKCDXm97D0sV+CO QkRhkFUDlWfJ3JX4mVkv5JbLvenmlRn6PBV4x9A3d38UbAhtDnvUHDtCoq0y+SPof+bkdkqJrO+V hINskgqTPJ5w3ANr7RQFR4e9TYSQoW2zm6AgYhiZ+09FI8tAkroo2L585sIqhSkKKBbKiIY9LLWu IRz2xVvaO3UPLNPFMGQ3QVHyisyZbt5Y+UCG3R7a7RUMBgFG7HmslJBoMZICkNhC5wC93YbbcVAq lfBJHHEcY3qyJGywbKfh2IzDup3B5c6K3VjdwsNnSti/t4BHz7bwf364IiFfu6MU10eBfPr6+1iF ZU/i41+s4YlHq4Jub9QpSiyf+qGua1vSPfd2VPWOBHIiViqeVw4M233kvxWgaEZ5TFiEM+qjnA7g kSFBQjrma4aIh4HgYmJWjdiHaNuqX0sjCIAYUQu235CqYRi1EJLaVzqdiQdjo3MCx1QWfUtIIaGm gmIkmgPD8TBySb/hIjUKgO1BtxRwUypZGUDFqpQx7K5CRPJyl5UhXDyUY95YPb0JIVJ2LiJjvknG 7JMySLjGRHvEvF+QwLHLKPs2ri/2BEnPofj5Vc+pbRsoFW1p2yLWrdPprhst6SczTRRLZSlacH4z 2c78mJu1YFDVeY3PFik6IUN+hYUL+PNQwyq9nzjE4vJ1lmFQLKzCMsl6G0jKwfdKEoayJ47FziRR 4iUTdXY/bAwGDRohOnGEfq8FL/WgVUoSIegkMqSnn/ZICiWphE/q6HQ6aLc7CIKBFGA4PkCP8ZbB Xs+ir+PwfgfVck1gDed+18Evzq3h/IWewCA4+H2SbTiPkIamigdP+JibsYUR4k6MHZPuW7ysLXUZ irvfymDR0NFZ58iETpmQJX8QAWImE7XKCPDvCBxVVTKW+0aSP0hHA4SkkOFr9LrYt2cWlaFJSKOR wCskQjMcJW1hQSX9jLAwZ6fH9w4SE0OjDKNQg+X6YqDIi0TxhzzJSzobVRVTiX8mv0MaRwIMmcCK R+jHI4SdJswK8xk5hn9rUnu3m5uH1ioY+QQaLdkR+YwoaOtgEJro9dlKkVcyM0VmYfLUsda2pBmX /adMhKtwkGrEKWw7geMmqHg6eqFizmDTu7QxMRwXnF+K1S77TJXnzIZpQh+0NMHytVX4oy78SEPH iNCKCZItM9sJI+hiZtxBczmC6TpSHZSQUzw6tgRtuIPNdoyiY8L2HKQDDX7qwnJYHDDFQMXNnmDV dM+DqRKjn8jBKi67KVgcI25Nxod07+m0kAurVi1jz6yDIwccAZy+dL4nuK1jRz08dKqEzz9UxrEj BWmmvpNjl6R7nldYj7HkYUu1bpOHtd6cnkeBWcWKlTs9DmGYpNwU7S3RjIvIVhoRSqDAp6xIMLnt bCojU3J8KKrNgEF7oWkYsOFZ1xU/vEdRUtL5poiCIsIuW2zWYCIzWjRWMDBMDAxSF5pTgmX5IuRA pDNDGe4WgnGSfBxL42QzVfM56A3E2A0NS0QUmBthpTCOOzDL49uc0cyoZ5Wn7YMGnvcsN1MMhT9i Ud07NsRbjYdo98k+ujU5LmVzFuUSCDcTYR2KoYMN7aaAZoXLLNVwfakF3y8giAix4DNgaxI7J1QO kneLgM/BkMwaGoqkGNKGsJMhlldJ+wuUNA/RyEArHslzMqiLudrDlKdhMeyhUm+jTES+ZUlOZbk1 VBtiluRvM3pkGsAKEBkxgjiEG46QDkYKDrLUFOoY3bGhtRkyajDLBMfmfRWb70u+cTF3MxJYC7/4 bwq6KtZeC65FfqqP1lvzfZJX0rh48DLw7QdLb+8+mOYhGp1YquNHPakYEq915nQR99/ro1y8NbfV n3zsnV5UaB51gZTxIvKJE5VtK2aiEq45W4BMWIIs6YGlMXRxXdpgE4SQsBF7pTJAkqznw6TrTsCj KAJndDA5psmmrFg2E8h+EPS66A5CmJYDv1pHsUq8D4UQdER6Ef1kiDgEXH0oua8ADkZMvloFGEQ9 99oCaGUZ3jBsqf4RSybHFxocTRYNkdZsP2IoC3p1Msk16IQEsCKWN2Pl0ItUfDU53xuoF5iw1CHG mB0AIvDKmusmnt27BTC8G4NGfrf5l18R54dh82+JjaJYCeEWTEZRvowhX4z5ax04bhFR6gr/F7n8 +QHSJD8kIywFTTSkHSKtAySjLpKU2oME4SZIxyvotbtoLiToaQUUix7cNEGv4KJVLCFEF/PNBVQj Ntgrri2mSfMHQ8NpOwZ6YYRhEsImH/0ogLOyinipA50pDEJiqkVlvJYp3Z7CYPzqUgsyQULIQ5IK mwlf4wjCHgbDQBrBe0FHsGm+W842Z3KmTQrYliE2BWHzwX7Zze1md3qkLIZl/bofJiTc6ZM5WCS5 756CfKkY4u7P5x2bn6VlRvrpUgRaQdFk2IDHZGpGysdkKE+RElUiSc5chqmQ4abhoyRzVYVc5DYS uuRcxjxJ0CXwMaK3QxI+Ui5nyq+bbirZITTXg2s5ivxuMECn3RTvZ5SMkJLaxCmI7iHZGywjRZjY 0tPHMCWvmtIwDONQMFjU0FVYHjJ+MnxwYRIWzVwVczEeNQUV+wF3TU4+Llf2/G1ugtbJJmrrSCiO muk3qlBTGTVTo5fA8JL3QBclaRpD3tMcQ/XnOGiUdcNRuJXsGkdZp0TBo5ZkJJW4MEjQsRiSUaA3 AVjFZcg+BPxRiG7/Gproou8XEZkNpHYRpldAP/GB8hoaBReFclmKKhNmBfWyg9TwEMcNTFV01Iub 2UY3PN2FlR6a3WWUPB2z43PiZi+/exHdtSX4egH+zCScmTEYVV/NiWYPw6UW9KqPJBxi1OohiUZS RXRnGtzFsbh2VUKwkl/DRG1WgWilAyIUWTI2QXPQoDWZI83K/bXSGEpeVXBld2O4rit6Bzmz7N0b 6+DIuz52qBISIZ1ImwkRzyOTu4CagNxoKtvcSpeUsVteYzxnoc8f8/skDcRbgiXFupD9XsgpdqDY TgnhJA8VubIyO8a8E8GgWxKi5BDXC7IwpNNboTE2/1p1cm3zyrmrUxJ9E94yu/k8II9hbXgWlJnf fOMEDGdKE3Z+jI3z3vh3OwMnEq9FUVHFOPrxhTN86CFo/h1m7qbXbHsklDAEfo5XDRTsZbx5+XVM j82i0rPhrIzQmCpj0amg2UsxU0/h1z289PYldFtrcHUTU96MeDlaYkt71CvvvoGx2j3wRfxkM4SZ I2uRkuIRW8umUC8r3CDnUf3gASxbPVTrM/CKxHhlOBzGFo0ymm+9D2OxCXffJLx9hGykiEm1894C 3MOzsiFRjZpsDPkbRSfQsOFP+ri0+C7mly+h5JUx2ZgWnnniAt+efxOHZo7Bc3djSP2kjPRW9bg7 NnY07dLyEanWD5kUuBHU9+m4/aE8L+bC1Nefq3d1u4N8WqSPZgXr8vwKNGMJFWcMBa0mIaXTKMKu lmjZYJgprrViXPzDH/HZIw34e0p4791rCHvzgNlGLzDgWis4PDGJ5qCPSkGD5ziSxGcDd3cwwliV aPwEhkb1IgKDVbsSOcFaawHev9jGYlTBWreNg3MWxitV2XUk66GnKJ06JKGiIN/znOvQQK+9JgSI raApEmQ7t7npmG3sxXRtVoFRRe5NQ6zF0mQexgGcxL1LXpaGP6eRVQlvvCgF6FQUxuuez5/XtX/k Iw8D/4Hbqk24LBZSTLhpGY7j49AelecJ3r4Cp+7DKHmwYjJbUDUpRDcYYJW4vqKNaq0qlMBrSwKx w9j4BApOERcud+BbIYzlIdbWhlgITQRRCr+2iKFewv7JfcL5dHWlg4vXU5S9MlV9YdbLqK224Lk+ +pGDyyshXHOEyarKzehUpMnmf4IY8SDCqN0R6uTJeg1j6fQmLykDzGbJeA4Cl4UEbdMQZZ/ihGgm svWJwhl3K6ZK8ecx1quE/e4Qr7x4FYsL3Rsv71NDdWfv+KdDwSGk6KCIHUnh8049EOclWmzBrBSQ 2KSyYW9mLNXjxbVVLF1YhGcWBFxCit1OoLQGpssmDM/GldUIrzkBioRV9IH20BCNgUhvIjU9jFdb ND/o9nsCpykWyNWuwfFspL0eLNfCUCPVdQTHiDBW8bZ5PqS96WHQ7cAe6nB8H7q/rJq+BYWjemuZ 9+RQ3O27LyAm6pvtZZT95l0JC9M0FeLHd/64hngmxIuv9j5xs4+0RH8UfnjV9ClPo9sN8dLz83g9 x2usj09X2N0Z/9B3gY1eTMVRrxhoBTYjTQ5kxshwctLiQZ4x0unESGNScKvAQIgW4xienmCkMdep I4mUOAg7YZk7tBxLYBKa0YSuL6yH5zwWCy8UMJEmbHpDhFpIixhVjmJhOxDmik3J+yDsIxoEcM0C HJ+VP8I24nUh03WDxcUlntXNnjVZN4YwjKvbjnOH7nKaYnm5i3azjaXrMVptNqB/vMYNTf7bBott 1xaHCAYqLygWikA5coV/Oj4dH/9BWdqtoynfpT/kIxpcWgNgSdWcP84jIl9YN8bVayFe/8ON9+7/ /9hg4diVt4sSYY4lpJD/D8dCKdIlkBPMAAAAAElFTkSuQmCC Simple FALSE 0 TRUE FALSE California Senate ACS 2022 <div style='text-align:Left;'><div><div><p style='margin:0 0 8 4;'><span>The 40 state senate districts represent the geographically defined territories used for electing members to the upper (senate) chamber of the California State Legislature. The current state senate boundaries were approved by the California Citizens Redistricting Commission in 2021 following the completion of the 2020 United States Census.</span></p><p><span /></p></div></div></div> California State Senate Districts approved by the 2020 California Citizens Redistricting Commission We Draw the Lines CA (www.wedrawthelines.ca.gov) Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388 legislative 1 -124.506027 -113.498425 32.423819 42.068506 Other Constraints Other Constraints File Geodatabase Feature Class 0 California Senate Districts Feature Class 40 OBJECTID OBJECTID Internal feature number. Esri OID 4 0 0 Sequential unique whole numbers that are automatically generated. Shape Shape Feature geometry. Esri Geometry 0 0 0 Coordinates defining the features. GEOID GEOID String 4 0 0 SenateDistrictName District Name String 30 0 0 SenateDistrictLabel District Label String 5 0 0 Rep Rep String 255 0 0 Party Party String 255 0 0 Loc Loc String 255 0 0 Website Website String 255 0 0 Contact Contact String 255 0 0 Capitaloffice Capitaloffice String 255 0 0 DistrictOffice DistrictOffice String 255 0 0 Counties Counties String 255 0 0 Pic Pic String 255 0 0 OBJECTID_1 OBJECTID Integer 4 10 0 State_Legislative_Upper_Distric State Legislative Upper District Integer 4 10 0 NAME NAME String 1073741822 0 0 Year Year Integer 4 10 0 Variable Variable String 1073741822 0 0 All_ All Integer 4 10 0 American_Indian_or_Alaska_Nativ American Indian or Alaska Native (NH) Integer 4 10 0 Asian__NH_ Asian (NH) Integer 4 10 0 Black_or_African_American__NH_ Black or African American (NH) Integer 4 10 0 Hispanic_or_Latino Hispanic or Latino Integer 4 10 0 Native_Hawaiian_or_other_Pacifi Native Hawaiian or other Pacific Islander (NH) Integer 4 10 0 Some_other_race__NH_ Some other race (NH) Integer 4 10 0 Two_or_more_races__NH_ Two or more races (NH) Integer 4 10 0 White__NH_ White (NH) Integer 4 10 0 SenateAreaSqMi Area (Sq Miles) Double 8 0 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 Esri 10.2.0