20240725 12325400 1.0 TRUE ExportFeatures GeographicUnitsOfAnalysis \\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\ProviderData\GeneralFutureBuild\Round3_Interim_Update.gdb\p_ServiceByMunicipality_Round3_20241231_v2 # USE_ALIAS "cong2022 "Cong2022" true true false 0 Long 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.cong2022,-1,-1;senate2022 "Senate2022" true true false 0 Long 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.senate2022,-1,-1;floathse22 "FloatHse22" true true false 6 Text 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.floathse22,0,5;basehse22 "BaseHse22" true true false 6 Text 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.basehse22,0,5;execco2022 "ExecCo2022" true true false 0 Long 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.execco2022,-1,-1;fips "FIPS" true true false 0 Long 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.fips,-1,-1;name "NAME" true true false 30 Text 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.name,0,29;rpa "RPA" true true false 0 Short 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.rpa,-1,-1;acres "ACRES" true true false 0 Double 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.acres,-1,-1;county "COUNTY" true true false 0 Short 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.county,-1,-1;SHAPE__Length "SHAPE__Length" false true true 0 Double 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.SHAPE__Length,-1,-1;SHAPE__Area "SHAPE__Area" false true true 0 Double 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.SHAPE__Area,-1,-1;cedr "CEDR" true true false 255 Text 0 0,First,#,GeographicUnitsOfAnalysis,L11GeographicUnitsOfAnalysis.cedr,0,254;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,GeographicUnitsOfAnalysis,t_ISPs_All_Round3_20231231_v2_final_by_fips_pivot.OBJECTID,-1,-1;fips "FIPS" true true false 4 Long 0 0,First,#,GeographicUnitsOfAnalysis,t_ISPs_All_Round3_20231231_v2_final_by_fips_pivot.fips,-1,-1;bbservice0 "bbservice0" true true false 4 Float 0 0,First,#,GeographicUnitsOfAnalysis,t_ISPs_All_Round3_20231231_v2_final_by_fips_pivot.bbservice0,-1,-1;bbservice1 "bbservice1" true true false 4 Float 0 0,First,#,GeographicUnitsOfAnalysis,t_ISPs_All_Round3_20231231_v2_final_by_fips_pivot.bbservice1,-1,-1;bbservice2 "bbservice2" true true false 4 Float 0 0,First,#,GeographicUnitsOfAnalysis,t_ISPs_All_Round3_20231231_v2_final_by_fips_pivot.bbservice2,-1,-1" # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=\\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\ProviderData\GeneralFutureBuild\Round3_Interim_Update.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>p_ServiceByMunicipality_Round3_20241231_v2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AssignDomainToField><field_name>COUNTY</field_name><domain_name>CountyNames</domain_name></AssignDomainToField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=\\broadbandnh.sr.unh.edu\j\Projects\BEA_Broadband\ProviderData\GeneralFutureBuild\Round3_Interim_Update.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>p_ServiceByMunicipality_Round3_20241231_v2</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AssignDomainToField><field_name>RPA</field_name><domain_name>RPC</domain_name></AssignDomainToField></workflow></operationSequence> p_ServiceByMunicipality_Round3_20241231_v2 MapServer p_ServiceByMunicipality_Round3_20241231_v2 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJztfYtyG1eyZPW7AZCULHvGczd29/+/amNj740744ckknj0u3sj s87pBwBS9liyCaByhhYJAg1QFDKq6mRlxsMwDGIwGAwXgPivfgEGg8HwW2GEZTAYLgZGWAaD4WJg hGUwGC4GRlgGg+FiYIRlMBguBkZYBoPhYmCEZbg49H0vQRDww3BbMMIyvBk8Pe2lKBv5/sOdJMn5 f5pN08o/f36W9w+53N+tjLRuDEZYhr8cXdfJp887edolIsGdyKdn+cePH87etyhqqZtU6roXLGlY lXVbMMIy/KXY7Q/y66dSmm4jEiS87Xkn8nBfyHq9WtwXBFVUg3RDJF3fiu2U3R6MsAx/CUA++Njt e6nbtQShkhUQxO/lP//5LP/7f0QigUgS489AqrKWssLsKpW2rXER++3dGIywDH8q2raXummk7Xop i1b2hwAMdXK/ILqT//OfB4miUJK4lTAIpB8G6fpcgjCQvje+ukUYYRn+NKCiKqtSfvp5K3WXsVIK o1SCIDy5L25Lszt+3uPDFVP+rlZc3SaMsAx/GjAg36xX8uPfQvnlcyNNd56sfgtQYRluD0ZYhj+d tPI8kVXWS7Pvp5Lpd6LrMQP76i/P8MZhhGX401E3vRyKXoIw+revYWR1mzDCMvyp6HvMsTppuljC 6N9XqnPo/lVfmeESYIRl+FPR9aiuGgnD9R+6Tj8EVmXdIIywDH+6rKEoRST8Y3uAgwQycPL+77eV hsuDEZbhT0UYBhKFvXR/+ErQYllTeGswwjL8qS4Lnz4fpOky+QPzdmKQUPrBtA23BiMsw58CnOoV ZS3P+4hi0T+KQALpOluAvjUYYRn+FOwPpfzr54OE0fuvcr0gjKXr6q9yLcPlwAjL8M1R163890+l BCNZqejzj1jDYLcQFZbhtmCEZfjm2O32MsgKxgs82UNlNGAKFUyDrDCMpB8wig/4OVo+PkD/c4og pETCcFswwjL8KRiGTvo+lK6p9IYwlB6eVn1PAShICkQWhrH0QcgdQ5Aa6Aqfh1G82DtEddZ1dkp4 azDCMnxzpGlCUmpr2MWkEifZiYtD3zUSRmtHXK0MOAGEZ5YMJDYY9sWxe5y/HUP3l2swwxXCCMvw TdG2rWx3pcRBJ3UbSJbfn9wH1VIUTyeH8exzzLuaupCmKaf7u//CH8sY67ZghGX4ZqiqWn751EjV rKRutpw7VeUO5qEShqlEUUwn0deG7+pMKpIkK4ki50qKx/B7rr003AyMsAzfDGVVS1GFIkEmcRpJ PMxawL6Vuq50gZnWC4HEScoZlkZ46bwKreEgvSTJeuHSgD/skPD2YIRl+Ga4v1vL49Oj1J0S0Rzh gK/R0mEapSgPj/wclRdIDV9ESSJD30nbVPRxn1djfWg6rFuDEZbhmyEMQ3n/kMrPn06N+pR4VLrg KSgIIslX91pdDb0UhycZelRjkEIcOHRPs814ja41WcOtwQjL8E0BrVRRPMowBBKnq/GkD6R0Mrty 8yx8YFcQhJfl6uvOoftxDmEPixk7J7wlGGEZvinWq1RWq0gkXJF06mrvlO7aCOJ0EMN0N0ZfPNZ/ 5SUOQXhkpxxAy9UzWcdwGzDCMnxT5Hku6+yT7OtckkQ/RgwD51KYT0E0GnHONVVQ/jP1vRpO5mAi qnafEg0N1w4jLMM3j6Hvel89nbaAEJHio64gKtUTwun7oZ4S8gOEtayk0DZ2bSey1KEarhhGWIZv Bgg7H5/2sjsEEkQNb8P+oA+fWJz49R1lDXNwljU7RTwmPKjiIUw13A6MsAzfBCCap+dCPj+DWRIZ uo5808FrtAuOSAkJOpP2ag4uSve9ShqOKyzebieFtwQjLMM3QdO08vjcSy9rSZKJaCAYRTXl9Vf4 HLuDabo6Wm52C84NFqKjSeU+Ayq1ttPKzXAbMMIyfDPCGoboRLqAwfl8eN62FdkJbgyAPz306nc8 XpelIYM48zztwX6DNwQjLMM3GbRv9510Q/pFL4W+ayl36NqGpnwTKwXStTVtaU7kDH6ohRYztpbw lmCEZfgmDqNVHYkM0W/yfkEVhRPAOMknBTxqqigmacXJ6sXHDoOt59wSjLAM3wDn1edeooBvY5aF drDrGnpkYR5Fp9H54B1L0gFCV1+O2FHJhOFWYIRl+PqWMh8LKSptB7tWl5bJUkEgfduquj1OuRdI 9Xu5Z3WVxPmS55ys4TVgfm+4HRhhGb4a2raTT4+FPO9gCdNIEMAlNJXU7QOCfJqmoBbLu45m2R29 rkBc3hL598CyVG8LRliGrwIk2Dw+FbI7xJKtTl1FAZ74hYk0bXVik3y8R/hbYTkUtwUjLMNXAaqn tgull1heXUUOA1rHzIHF5393EoWaDAvQx2s7huuEEZbhqyAMA0liqKXa3//Pys+qaIc8kZkO6N2g /hX7ZCOs24ERluGrABXO/V0qVVPLvsAazksne6q1Atl4USn+gB6rDSrVXM2tlIeei9G4/VwdBrcG EJbhNmCEZfhqSNNYVlkjh7KTQc4TFg36EJrat7N1m/luITzg3ecDEnQy1WKF+YmAFAQWhokR1g3B CMvwVZEkgURhJ03Xn11mJsnAeK+bE5buBWIQf+x51ff6dRQnZ/ywtAqzyPrbgRGW4asizxJJYmQQ nicsXb0JpK73XLvxOisISF88KMRjXvgeqi7VeRluAUZYhq8K2BWvc5Gi2EvfrVyARKNBqYMSE1Jw oM+K4owVl6Y7I6ji9Hp+bjV3xVp8P1DXUcNtwAjL8FWBGdX7dyup60Y+PRUiQUph6H73kfosKNr9 kvO8AuNtZy+o/3nppJCEZQGFNwMjLMM3OTFcryJ52sFpIWPbBjdRrN6cOC/8BtnoaxotnjCa3P1m YIRl+CZA5ZMkiXSDly6ElChEr8hK2S66SgrGfpQ1wBOerqPdYuiOU0aNCgvlPrMF6FuBEZbhGwFk U8gQ+GCJ0xiv5d1x/9Yl5CjBoVJDMEUaqBvpvIUsi2fJso1KJIbP9lu8ERhhGb46UBmlaSppXEjF +ZKGpr7kvMBqKYwkSVevWsnMKzFWW27u1bsqznD9MMIyfHVr5KJs5XCopagzCSIo1J0g9Iiw0P6h 9avLnRvG/5Z9QGQZVhSU+orrCw40hiuCEZbhq1vMPD7VUlSRBNFEKvhzOunT2ZQGUvjMQbiTfrlS QmAF28UZuX3JM8twPTDCMnxVpGkim3UjZd1R0Bkjhh5OomEkTa07gQBmVZM1cqb7hc6ND5qrcRka cy/ykd6GdhD399mGgMmwbgdGWIavDJAKaEaJCd5XqIgQQw+CKg9PbOfSfMM5VF3t2RYGXSNT/TUJ RkdQvtDx1uM5FyIPDbcBIyzDVwWqoLoGg+QSx8mYQ9i0pQRBRHU7WAdk5VtE7AmC0CZ4YekUSIFP m6EUCeITwrIK63ZghGX4KqBmqu9lf6ik6dACakWFBWeSk1tiRu3V1AU/R3uH6ms+QH/lGZxdH+63 rL5MN3o7MMIyfBWy2u0K+fnXrXRDLhIepzgHErigVFRc0+OwP3g+ov7csB1E5QNXjwlr7q9luF4Y YRn+MFBZHYpO6m4jMZNvTgmIynWa7UEc2jklu0h8hoDOwQ/kz+u0Qr6GKPqyhstw2TDCMvxh1E0v T7te4gTpOFOVA+O9uj6QbHzu4NDryV/f1foRhtK3uoaD+/nsQpUvwFZG769i1LW7sjtFHG2Sp68N 1w0jLMMfFop+/LSTpg0ljXT9hkP2pqIgdHP3QcKZUR9ICZFeqIi4JxjUbu1GnUhDrvJE0hVPslp/ Nyrkq+JZqmJLEiRwf/4ZytBjB9EI6xZghGX4XZgM99DeDfLr50K2BwzNkTlYjoQVR6kM6eq0PeSO YKQarSRThfuZNg92M5Pne8D7wlML6zvHaJuD2STfCIywDL8JMMlrG8yqKn69P7TStIHUXS5xEnNx GZqqMIrYutGdgZKGdkFIFItibtVU0rUNTwjP4bheerV+oieWibFuAUZYht9UVW23pTw+txyuY8aU 5u/11M4VUCAhVEv4nj/1g5yh7aB2TxdrN7gdadDYCXzJSfQYr3k9YE1HTxEN1w4jLMMXAffQ5x1O AVeSZBFnU91RiAROABk1P6umQGIDI+hPTfg0PFWH6n8U6jpqM6xbgBGW4Yuom1b6QYfh/EeT5JxX odXT1q8bRaAgMT21Qwgq5lnLymf6nhIcTP1Cp3j3+4PzbMLfApCktYS3ASMsw+iYgI+m7WW3ryVP I8myWKq6k6dtJ22XLiqnaEioWAd54eQOpAGyAkHpSR7Wa7Ty8o6hKlkYpEMmYZhI11bj0jOrLReO 01eNu06jt1HmoG6kQRu500Gt0PQQAIRpQRS3ACOsGwfsYD4/7mW/rySMMxkklqZNZBf2Ega1dD1S abD/tzzJQ+pN2VSUGoA8Urh/BsFYUeFEj1kTgttgbwxz5NhVYzDs0yYRhAdHB980gsyg3QL5lcUT Twc5nIejAwgKolPn4ODTv3Ap2ye8DRhh3SjatpVPnwvBoR8Iqm0jaUtkA5aSZPckLq1eJnnBHNBZ 0bc9X2kF1JbStZMMAbYx1FclIDq/NhNIgMqpa5ikozuEaCuV1FrKIoTaLTw1CAushIruRM7gZ1/u tQ3SfPO/M8NfDyOsG0Xb9lLUsVRt7OLhURl1nCl53yqs2YB4joFWMJhVVVSesx3s+Fi0mBCLIqNw 7rgwh/doR8VU1yVJD04O8HDH7foaIunbRpJMZRLLC8y/QDv7Df6SDG8ORlg3qk7//FRJ3aBtw7pM Tw0VbF5W63d883ds957ZmsXOa50zrrrg54jtmlhDqzAQVJg/SFMdXjn9C8bWsalLqcqdZPmdpNnd WMmpUZ/qtzipemU5Gvovzrtim2HdAoywbgwgg8fnWrb7WAInS0BsPEjDOyFw9hRFEvYJXRZAZt7i GG3ckqyWIOm8nCxPoCXsCkdIHETpYJ6rOtRmgTBLDqfSZL2I9zpGWTxKnKxs6H4jMMK6SfQj4bRN RaKCQt0DbRoG3QnWZiAIjTPOk1DNoGWj86ebPb0EXAPCUJU2LDMFwUj5+p7XgwNpLYNktFGOZbV5 J21TC84Z0Y5CYPra84BIU7aMNsO6BRhh3Rjw5s+zWJKkl6quWdkkdEHwpKC+6eMKDW+CdUvKmRVI ptg/8nNWSE6LNScVzK8odXAeVf3QSTBAgoDqChKIcJRRRNgRhEwC3u/UdA1jRQezPrVFnrV7c+4a ZuaBNsO6CRhh3SDSBB7rkA/gpC8gQalgM9J5UNeSkDzaFjmA0Vhd+WE7Hwdyo8sCyEvDTyF5wIdH ItMJX9fGUpVbkhIqOJwWtk3BITslCmGsYlIQVhhylna8vuNzCbX9VAdSG7rfBoywbvSEsGka6p9C 57uOnb8Amqu2Ion4igkEhVJGW7qAlZOvrvz3OZNyj++9TYyrvI7B9hM7hi5bEKZ7QbCiHqt3RNS2 peSrhxfM+gYpDk8kO2i9/G1WYd0GjLBuEFCzQxAaJSkJQhXqmFvVPAXkek3Ta8WFpWK2h/o5K5/F IrMz5nNrOHQSxckdl5EHtodL8nKtZlu7xOeQxIP7azx9zGrt5QTo4CwZDr2q3s0m+bphhHVjwJu6 RdEUKFktiCfJ2a75tgwVDz4wS+qCUD2sqGA/rZx84ATJzlkh19VBIkgUKE3Q2ZYSHISgGjyBk0Gu 6fQtxaGoriCj+P0wwroFGGHdGGiGF4lE0Zk2ipVUwoonohFfL0MYc9EZHxzGQ8Hev1YBYayEZGYN UKWjA/cFdR8QraBWX3gN0IBpArQ3BgQp5qt3X/wZlnOtSb9luG4YYd0g1utUtvtC9mXtLGKmFo+f 4Y3P9RrQFv7E3ClkBQSyQds4DB1PF+cWM3OAmCBEBQGyTQvVmQEtI64xzJ4DQ31ovFBt6UrP6+k3 Lgj6CJaYcwswwrpBpEksSQQH0b10LU70slHCgD/ppuCIqOtV4oC1Gd0RRMZgy8F3EGLmVUqSZBMx OYCUGCnvb8NjnXZr4JI1qJC9qEDPjqE9Tw7T1SgeDUNcUyunhWvp+J8JSJq2Cuv6YYR1o4jjULJs JV0f0R1BA01T6q3QunnC8unMc3/1uq0kWz047ysNnIBRH0/94pS3+V3BY6hnFk4CIRfVr1F5sWWE nXKHpWuQU8AZ2HhCCalDDALTimwebMHXSVcIW8+5dhhh3aiDaFnjTY4TwliiFdwaMF9Cmo22a/Bl B/GgPTxejYEKPqNOC8P0mL5ZmpRTSFtWrMDQLr4056IraRBQZZ+kuRPeQyga8LretRQKdu39dPcQ z+tjwM5VU1ZhXT+MsG4QTYu1meUbPo4TfoBEDvtPtEH21i3zasafFB73ZCCnLLvTtZ7jVZwZOANr NKoez+cBXVXtkqCXcK8Bc7TU7TpirsbqbTJfVl93q7CuHUZYN4g8SyVPD1LvKxzVLcgHlcz67sNo 8cL1GRKQtndQpcNZ4SWgOorPVFYalNqSECESRTsJ/ytnucXq7vgA4Pjx06RdNV9hr5Wau4lrPYbr hhHWDQKzHkR0DRx3LwkCbZe2YgGtYqDDwhC8c2RB5fu/IR/QdrNz6natrDCP6vtGq6NhcNqsc4Q1 UNSKwTwqOawO+ZNGDVrFq0W7eP7E0nA9MMK6MaAK2R9qabpUgnCZCUi1eaS7eYCeDqY8OSyLZ1ZZ URirFQwWot3y828BBujrzYejJWld0UGbqSr36GWCbYpRCQ9XB3HcNF6PHlrWEl47jLBuNLKr7bLR V90DpIA9wmOQKGAzE6XUVunuYKvhEVx4jt16DtJwVDh6eo0ZucxAEow2r3psgUjxnDgImPYHj66D ePt+/zv+JgyXCCOsGwIqlf2hYhhqGKsh39zCGKSQ5fcnj+P9mGqj94X0AW2db826Hi3jdErn9xOX xHVKRqjUcA1ILHgCOL/3XNOFYIsvtKGccJnS/ephhHUjwJsZyTifn9DOpdLVCI1Q8z6c0EHI+ZJq XQ37sG4zb9l0dxDkBOJR9fvgThAHrvKgGgPRoXI7d23OoRj/BW+sZdT8fPVmGLVY6qH1khJ+GEzt fu0wwroRYL6z3bfSDWi/VDcFktA4+UbqcsvTP58xOJ8n0VWBtjHnwiR0vcY7KFAYClW8yycEITFc ItZ/aip70IE55ld4fpLcMQm5agn/xStBOzq2od5Y8Ah2SHj9MMK6EbTdIIcSdi86A2JgxKiVGqQu 1eWTFjFYjYFqnP54mlzDRWanND8G7utTnzWXEFWQ7gQOFIiW0jICjJuJtKrx99ch+plhu9/oGb92 rw0ke+6frYZGG64cRlg3A+igOhlC9WMHptYK7R2ScPLxvpN2qqe1DOQN8FrHfeYtmU9lRhWFATra P5wIomrys6woTXR3cOaJpfTlK6lJAPoi6NAgtF0eX5trD8e0HTskvHoYYd0IkjiS+7tAfv28kyx7 OKsonxMY/4s/UFlJwsXkMeVmBhr3zSyVGQvGZB1PfvMrLgH9FSqmLxnv+bxDnZOJJKm2miSxYZD1 5juNuLcS6+phhHUjqJtW9nvs4IVSlluXiDM5LHypm6KUoa0FtRJOCfVhgSbpzKQGjANjsOmX3T/R CkL9DkJCi3oOWsGpDU72cD8mRLd9K3n+oOnQekebYd0AjLBuADrgHqTpM8lXq/FNDwLywtDX+ikl FJ03wbOqbbYaU5/mPA2E/7oHrtciyRmD+hdOHT24D+jaziH0zz+l92igqgZkzF1IeWDAWZn72Rhx 30sfLk8aDdcHI6wbWXY+FPBPVwJBa+cju3BSB1Ko60IyDtd1WD63hlGnUQzdU4nZhvWyff5Z4+UZ LR+cqbCWBOi/plYKJOXuw5PEeKDLg/eA1wG62iyj9Vttvhuvo6aCqN5i5+5wpxIIRIhZS3j1MMK6 gVj6Xz9VsjvMTwUVqKxStx6jHlXlGJCqeYNKXCCNMVZr9LRKF5XVHHgsHBsGSCTGAXk/EouSl8aK MeXZV3qM9gIR6TXwfJxb4RRy1jLm2R0JFneESSABv6xQqy7D9cII64oBovj4+SDbPdq+8ystWsl0 3PODbIEWxrQx1iRltmWwlEnQuk0SBGi4PNEcIxp3D3VlB5VQECG7UD2vNGXakZ+ESjzO0fT49euy Mwz7pn+qJDrn1XUuWNVwvTDCumKUZSUfP5fuzd6qGPSIFBhVT7GnWrsoycQiceZO54pxxYbR835J mXMxXYLW0z7sEU72L6iKkmyeHXgeIC8Qkq4JLfVYvtJDmOoJWKypZQ3DMtC2JlZhXTuMsK4YHz8V EkZrvrFx0tYiYpDLxlr5UDkuvcQRBtqnJ3ogEQ2fuNfIeVd9gWDwJ04aMXRHg6diUH8NT4Bfhg9V 1TbxJeeHSXvl51oMfq1Cqt71wBKkCnGpvmbDdcII68oDU+NkPe7qMS9w6JUgej2Bg/fVOXcFJSYN o/BrOl4dr0QW6R5iALLzIREzQakbqn9J3sDvvdrKBeNJoO406gI2hu1TwrR3HVVNl+F6YYR1xXC5 NG54HqMAkdANwNEKAnT97HsNSB3nU0pmbBWP9va00uqZbgO85GEF3ywO83+Div2l72r0V60niUNP cuUC9tEppr+v4fphhHXFoHvBERsoebmQh3SlsV5dK1UNLymErIK49GQwTtV59BhNVUiaq7L9JeC6 g7NY/oJ+1A3R9eRwtLppa675gEiz1b0LoBg4vPenjiek5aoxw/XCCOtKgSqo78OXx0LUMk1DdpzS cTbUllLsHiVbvXNxXct/IiCEut5L9gXCQtWG+ZZWYq+7kippOkJyOi/IFiCbGGMNmV3YSI+YL8zj aj1M4M/AdaBU7ZsNVw0jrCvFTz89yRDcnW23pipkLviE9CCWJFwz8gsEgCVmkIfPG0T7h53C1fqd 7HafJF85sz83q9IWDtYxvdNRRZrm/IrinXMukFt9YBuJ56mKrcZ9zUoz3I75W1Xt3R6h3obHIFex qfaSZ1ZhXTuMsK4QbdvJ877luktIU7v5YrP3t4JI81y6jQ7UucDspA0+lVnTajpJs/eyjlKdLzn7 4iy/U5O/bBKYoq2j51UH/y3dGeRzcPivOiolyoQ5hmgBq2rH+4VtJEmwPBDAqSQOAfBadMFabZUp YIVmK4A/PE4vLYziWmGEdWXAG/anXw4i4cbFaGFZWds+rx5HFcTo+DOng1PuoELN+Vb0ei8OjyQN hlMggBXzpGovUbxhpcMw1KOQieL5J+mzVqJE03IYQR8rWb50eojXDeLCaz+2bIagFXmGXjc2QuXx FkRx5TDCuqI0nKpu5XlbyaFO2IZlUT62aZwROeEnqh0QzDnJAR0ZzqzcsOoJdDhOgblza8CMCxVP 7whJnRymFR5mEGIHkX5ZX07Y4QlmW0u+eq+5iAy6mB7H4fxZotOTQ7SzhuuFEdaVkNVuX8vn51bq GvKFqfpQy2Kk3aQkAlQvut+n0gbVMjm/djfwPjl94zC+YhsXDEpa/qSRadEtrqEEiApobltDHZfb V/Smfi9D9VZo9SincMJU77XF50tyvm6uBTHoYk5m5ol17TDCugIUZSOfnzqpWkR3vewrBeLhHChO VDjaN1xtQZxfpz2Vqt9nldekyYokyjaUF4AwNGwVBKEzL5r4pWvNLETgKUlLX4tWXerxjgPD+V7g HCBUGvTF2XR62EJVj7WieFG1qXIfu4xqezP+nCbHumoYYV042lbbwLKOJXzRBE8DHxAi4Wc/+DwO s1EFD6JCa4fKBvuDqHY4c3IngKikaDGDudTheVzP0cG5iwxDSEUf8tQuinR3cZIaqL8VKqZYpvRn D16vU0JdVoeJI8jZ8nMQsFojeYK0wl7zEkFupsO6ahhhXUEaTlU1UpaIcdeKg+QyWyRWjZM6IhwL Qb0KvmtbkgXsWtDWNTXmXRjQq1/7pILXERJFnVEqYZyqbqrcSeWCLOj+iWXkIKQ8AdWQD6oYBp2n qfvyRFogGy3yjl4fntfF1I/WN6zcNJU66DXTsC1KiSKo8E04es0wwroCjC2cs4qpK5wC6nqMtlWV pOlS13TOhpjSBLSFQ0PBJwilda2kH977nT6c3nmPrK6DtxVaNbWI4VyrqRYzLR/lNQwpX6e2ntBS KWnhMRCLDvGpWBVtZ495m4sRQ+XG+ZUTvvZhK1BJgFj74Yyzg+FqYIR14WganA6iZdP2TpeStZUD sWyfflKBZ/By5QGBKAjKt3YgE9VVBZQzQFleldsxRQdt2HoNGcNkZwyim7d5caCtIQmMRKbtqj4E A35URjVsQjnj0msfhalyfqYyC1+NKXE20vQNXxtID2k+SrbQd1mY6jXDCOvC28FDiaE5NFYanKWR 7RiExyQX7OGBEDCfQnsVx/lCXsD0Z5wSzgfXY4S9tmRJkI/XiFOcOMbjegxjv874bOmgPJIkhm7r dLbG+RaU8+Ve4kQrvCTbnAS4YsUo44DfX19PJFHtoQ1F9YVqz5OtDd2vG0ZYF4y67uRpiyXljUbD Mza+4ZoK2iN8vlq/V6Envm6hWN+pkj1BRRVIWe5YqSz5Rn2nRhJD6xWoYygrnSDi3EhDKOAJD7/4 mQe8S3xWkaneDjLBMB+EifuCoKoS4tBe2uKR11X5wnQ6ifurcPR07oZWEj8LrrUgOVowfzmxx3CZ MMK6UPAN3cLIDi0X3rSoMJQkMOg+HD6Pcx7At2Y8XeNQfa+kw1O5QYr9I/3UOR+KM7aJShZTACqq KQzbQSwBvdQ1NAL3nZMVWlESk3scyK+pDrxuUTxyKI8WNEdlFEYkLrR5SpJwiujlcHjU77+khod1 DTVgc6EoZmRGWNcMI6wLBU7DMOyG5qnuVYkOcH7lZkpzweUIVifpQtPECoWneXDzbElKaK3KwxMr GPpQuQH+UKnMoe8hQ9DKSr2q8HjICkBWalEDQtMKzM2YuL8YcnCP3UFPRhzIY7kZ6dIY+rcVyfIl e2VaVdjyAAAgAElEQVS8Tjw3rtG2j8c/oFnMXDGMsC4QVd3I87aW7U4kSu7YftElgQQBJXugJ2sk FHXlnIODdaznHK3LUF2OHcE409PAriVJ8U/XHsIKGc9Xls+SpBsZmPp8RwJDxUaSGSurnnMuDP2n obsSyvHOoSrXVY2PVhAi1HPgMjb3HadB/hJGWNcMI6wLxKfPhWwP0EZhdw9Mk4zR8F4IyuQakEqy cissfrCuKTgqDzj/60drhvvBpE+N81BVeQsZFaHSt527gzrP4omfkzFw6A8ygX8gtFz42p3esRI8 6vLwWtFWqlwCg3fsBEJXpi2qXkcrORWlYt1HiRazNe45Oovmrg+4UxnH9k/7GmG/1QtEWWEh+LyF iheCkpAaXUZmenIPXZYuDqOl8pqpY6B60lgvnUFxD7AuSCis3BjyoFWWJudgvadje+bTcxhrj+fE 9YOAkgi0jKrh6ul0evSqnaYKkWAIvVgpCbq5lteUafxYTcGqZz1UdHi9oZNl4MT0edtKlqI1/fKy teGyYIR1YaA2CUdhXzgEw5sdQ2nu2oF0moLCTJLNoLmDbBkdqWjEF+ZLFedgvlX0Scv0m4IHVaoz LzX420sYx6zixvvjNJGfY841UNRZFU8kO0orgljiWZLzHAxF9UvTTnulUfVwL4VwFFovnWv5thL3 q8vt6DGP54TFjoUUXieMsC4MT087qWuMiarxSB+VhVYfOgT3Gqz5CSGXkRmOqgESPjIewH0BuHmi QtocDeuxEhPGaurnQQeI8WTvXCUDAsRHKm2UqutCumFLd052gOoMC9kIyjjeGfTmfxSmskJsJCKJ YWUHy9g174/7oIqTbOnLZbgeGGFdGPaHSoYgw2hZ36yYJ5F4tKXCkBvEgDe5n2sB44kcXTtnp2+Y S6Eagqmfu8bSYua8Qh4neX6l55wlzTGoEcOgn0N8N5w/qRwbCYfJsdS/PixFc/Gae4uDVMWz9G3j hLDaEvK1UASLeZ2R1bXCCOvC8OHDg+zLQiRcScT0YyQu60iHM5yuYaV0rF5nXDwM+FBNzQsizLwk YAUE6QFkCWgdoeUCtBDDc2haDQgKBOFtkfEc1FglOHGck40Sal1BItFKtnqQkBWeUCWvjqfReC2/ aA0PrGW+ofuvqwZ9GrS2u3rKqc+zZ+uLYXscNRameqUwwrowrPJUwmAngz+Fcz2U7g46MyjqpNAe FaOiXZd2lg4JHrifN9oLhnC0l/FhFVxwbmGaVzGogtotzsVqDtPV3aHg/VDdtaO7QsjvYT3Iz5uo 5XKJOqwC42zcYyyL7clr0xkb2sXmyLZ5PmdT1fs6u6OtzTq3lvBaYYR1YSiKUtoeaTHL20cXTqdm p3tn24zKcvBV+IImCwNtBjkQWvnstx/V2hgOn1CVMyhiNVq84Ovt4V+sslR7paeBxeEzTwxRocGb inbMsxaUrSP+77y1OGj/0gnCEbhLSKmEZh4immy9+c45R/RSNRb3da0wwrowlBXaqWk25YEKCuSi BKBIkoirN97mhVqpI9CP3Tkw+IAJKNvHAXYgkq/enR2sg5hULKruohoFphmHIFA8HhKG4wG4ilx7 SZJlUCsdcn7LPCxO6fcucUIPLq4Kudenflw2w7pWGGFdGGposJz3+gS+01+1kEG1hRM6VCZ+6OXF luv1O7ZoqJB0OVmvt777/ixRaauoz4VrruJ3Lo2nY2vYxbBI1lWeln5YmtgDoOLCDEuV7EtiQbUG vRddHl5Quo9OD26ZGgR57F76Ows2wwXBCOsC/dt1XjS/VYfm6huFX6mP8JoG4JAzbO4+kFh0Wdml Pjsy0V1AaKaeGZSqJLAkQD8nwyxLZQaYY6lhnkoVQp1JufxAL0EAqY0uDS5G7FwVhXYTr+Ow/7Qg LK3QApVqOFcI+nL1NV/r7BVSHJunr1dohsuFEdaFoW6hBM+PuERP5Ggz7FXjjHEPeQKoIk71yAL4 p3NvmINOCbgv5kNI2aGXOlZfNJ2ZC899z8clkClARuACJbSVQxu6XoRMcD9xyJwflxLPa9UTWlN/ 2snHuvguVnAgyVA1Z0rIusLDAwOq5DtZZ41sNsssQ8P1wAjrggAFdzfEEp/ZAcRgO0wwR4LzqK7X dAO8DxzmLSRv1LYOb34fM+8DJVCBYY6F2yFL4H0xaA+hatfKiZdxxDIuX+PxrgLS63YkOu4W4nQQ Cnuk9LSuTTzJRNRrZfmDdF3Fx7K1RGXGncROwj7iIQBXgUKNDxsPBWIcBoB4rSe8VhhhXRCenzGz Od7DU0zBprpLGKaaE+gthTHm9tBqSS1aqMPioFqvked3nHfp2o6w/UySTGdORwRDLVQTS1k8qzNp smIF1ve6CD0SHU4bGYoxyGH/mc8N8pqvAHHID9dRZ3dDkoKSHaJQsJD7WVrBUrS6jqqFMyK/EGyB 55xJOwxXCSOsC0JR1TLI+aXnc1DycqdnvtYaY7D812jxcDo4RcfjHwVM9XA72k8S2hFZeecEv4fI gAqsC7n2TedjujbkwaVrSiXUDVXJSEnLV0mewDgPS3E/JVZ8H89J9wnOwKbXg9YRX9bls1RN4tpf m2NdI4ywLgjv362lKA8yCDRTRwTyhcMxLwLFegzuieE23tQgJl+Zefg1GFXPa3UzXUcTo9G6wehv BclDGo9C0CRbHQ38Z49jK6ciUbSwfQAywi5gMWYeLqF6L7aeFKN2EnBP8JSMtM3MpCxbKYpKNpvz lajhsmGEdUHAaKYsoTbXUz68wVGBAKpqhz5rOUhXqAcWlORYk2GEl1eJwxGB9ixHAaaI+IIkwcsa XAgqiApzJQhUmS+IYXeI+6vXFn2wzlAn5mLzqHovPuUOYNMstoXO/uzwfOceYkeimw/2NTFaK8Wm 2csvH/cUkK5WOLG0f+LXBPttXhDwJozitUgYS3l4JkkkLjI+lpxzIJj2weIFcyd4tINocN84AVlE 0sNbarZ4DBkCHhMPaP2m5wIJBZ2KPL2/le4P3kvsJAuwmvGx9SCunhY2GNgv3R7oguqEpXP42DCd j+mwHy3oMsFHT0BRtfkDBTwnTG9AeBS9NrBUxsJ3L23Xy9O2laqp5fv3It+9BzGaL9a1wAjrgoA2 J44+yxDqCRl29MY3N50MvFaq4wI0voYUAXMfqtJxotctleSsdMJTBwW/xkMFfKqupeoq2i/IrkLV xlgxJPHkXIRu3ecgl6bW4FUEShwDVSG+B8JiS4jYr/ogYZSScAG1lmndMrYeKCSp23d0VR8IEq+h 2H/i8J2WzUMmT7te8ryVu40R1rXACOuC0LatNG0EbqKmaWlxjDez865ytit4E+NUzlc8IaQBRwJM AIQEweiiAiLZ6U6eJusI28bysNWht9NH4bE4JUScGAgMFRnIBEQHQkHLmq8fTob2JE8eIiJwtRjb 1Cy7I2nVlRIt13tm8V/8Sfm8aymLJx3UB4Hsnj+OPl9eyzUMiTzvKsky5CPaP/VrgP0WLwjbXSFR 7IfJ6qagw3J87u81DcjxxvWR8WrLAlV7R7KIw2w2jFcygLiTVZQu9UkYIytwLvKE2FQFpd7h0+up QCx+yRnyBPhaqQodrd5WIi5X+8xBDchAS8u9QPi5Yx7mThi9nfJ+90k29x9eUMUHDLfAffizwRe+ OfD1b+5/UFV9U8njYyXrPJKHexC56bMuHUZYF4KmQWgqcgB1uB3HKxIMZj5486u2CcN1vPH11A8z H3pcuXaPt7vqhuk3vL/mCGq1EzmhJpwZThesAUgSCs7EptQaEFVZbl3kvM6kOAjvMXPTXT+GqEI+ AT06fbEGlytYS4u2NUIL6b29ApfqM3m3H0NFrQdZr79zmrKaPy+1YEOH41BV7Ed38vEzlPGVbNap RMc2F4aLghHWBQBvzn/9vJWmw6xHVQY00nNvfC4AM/ZKI65AGP4ULWx1fYVZhbRSbukdhQrGuzsk 0GCNCvWEydEi5wmLO4hRTLcEny6tS8gqSwD5oaUDceJ1YDjO/EC3XO3bWNym+YYtDwlUme+qOzo6 NIyu90R3vISt7qKq9cLrWW8+jDov/CyIsR9DKiSUnz/u5X1Vy/v3GwunuGAYYV0AcPqFHUIvAgV4 EphDRHnsVHDklQ7pQFMx2ZmzICe+pDvnGSLQsNOIhOHN/nx0mJ9pgRhBJCiGuBKT5JxjeZkCFp1H Nb1b/QF8lNfD+39oG4lqELuFOGXkzEmdRTGbQstJP/cgnIlKtf30Kn09IZ1CK3ANzq9wwgkCFTUQ xN8bVpp++QwvsUL+9j0OEWwQf4kwwroQzGmISvIYiTJog15XvuNNjEE2Kiy0h+MaDJXjp3Y0YxIN KxslELVh1hM5ZhHGmazW301LyZRRgKS60bEBrxckpr7zNfVZmgB9P64M8f4gl1nIKoDH5LG6MJBY 6XiqQ3wQEReeZy2pB/VhMrC6om6LszBElO1VtZ88yOO2lPcPWKw2wrpEGGFdiP5qEOek4IJNMafR 4IglULF4O+SXAE0T74dZz4CgUiUKnTvpUN4Tyjx1h04NSMs50lOhLVNn0pIaLRBHEqykqrYMxQj4 fSUYEJau2tQktThcXquBDbOrlMbTSYhT0dqB/Co4RJw6p86B2dXA1R+4sKp+DK8fry8QDPtfancN bx1GWBfigSVBLHWJcAnnckDX41NiYrQ8bVjUQkZxfD+tojCHYvCDi3cnCTihJk7gplAJvU4S5CQg b12zvJ62gz6tuXbEg9s26x80TBV2yly1CaSHCwR2DY+Ip3V2zZiDecLiM0AXBkKrS3VXjU+zGTXF p2E7qYJXrHxrZaghF4nkGeQS7//or8TwF8EI6wJQVqh4Vu7NqPOeEJYurgLy8FUR9/r8yk5b6cLx UVXExWMsCdPeWJeH/UBcg1Odi8MMzDukhOLUxliJSk8rw0Hj4yHgxDyqrmHDjCTmaW3Ih7PONWFU sDMNJ5XADen5s/qIL15Dh+rwoVc1/0R4vjJEEMYQoVKEs4Om+XBpGpVffGoTbbgcGGFdAMqykbLU 6kFzAzHL0fIChEC3BC41Q32eOh91bfW8Zmo+sAdwDQ2ZOJ0F4XZPHsfAGx8Dd7R254CFaJCkWtbo gB+khGpnCnadVPQ1SNbpxCgydWEYekDgZl1DT2ErRm7QheF18TSSLqsZiYjuETAJRML0sNMIsAie 7zvqwdAm4udC6pDhcmGE9cZBt0+J3Z6dKtaxguJJhkZ2LpyUVQzzAZWcYL6X5nBlOP016ymdxtIf a5M0TVotY+ZLxvwenqtyZn2wdMEqzqz9w2uAnp6nfIlWgzwpFB3A8ySR1aEuYasif3DyhYk85zMq yh/cSpCSqKr8kyTkUB3XwzzO+8RDQqH6smnGl8S5FIcn+cf3Nr+6ZBhhvXHQpI7vXW33/Mnb/cOP boYzDXJoXsdxlR+iI/7qw9nrjkP1syeFWDRONFw10pPFZSs5yH77yyiNwP3VriZiZYYDgblkAoSI GC4m3XDOhMF3JglaRIpcnS8XfN9fiZh39dni8AAVF6ooCE0hIsXrQ5uIZWgf/ApRK1/XTGJhuEwY Yb1x4A38w/drKWpoiVLOlhj8cERWSg5OguCA+yHQYQ4/qB+6zi1E1ydGe3plyA10LjSa7aGNjBLJ 1whG9QP5gcvOVNO77EJGh6E6m1VJXmfldxt15cfJGFyld24Fh7mJ2E1syhe84HU3Ms99rqK/rKr9 QYKbTUaCRQv6668i69Va0tT+6V8i7Ld2AUCFEgY8G6MpFtZmtEo5njFpYCrAxOX87sVZk492x74d 4+tD/3Ck4jSj97oPecCpI+xkTtvLgCLWZpbMTHI6Gs7TFgYHAEk2Voqq0HfzshcCVVEV0dZmhSSf UykDNV6LgNhhclcdX4+eiq42H6QdWvmvfx7kx79hnoX22fYLLwlGWBeACqeEsEZ27y1qolxFM8e8 2cEpmhr6nYIzH8zGAj2hQ/XC2sz5qjOTcPNBA0pJOIOzqznfTrmabfwahIp2kgvRToEOgoTYdKwE qYTveBLIXUgM2GMNnfBSCv8/nkDO5BU6iFdCxOMR9KrtHvywVD2/0Kj5vzecRg6JlM0g//f/fZb/ +PFe3j2Y6v2SYIR1AUBlMchUwcA3qmn81/rm13TnTrqgFWl1oH5spOeBeU/XqwTASwqY+szWToNO l2R47Ae/hB87TRUVwiFWbCOpm+J8Sg0E/fXU/yqUpM8lSCFbgHIfdsnleB/VhqGV7Dh0D9jtqn2M X/0BOZFwkdDjSAzP0zQ4rGCJxvvpz4NMxp3+nJLLT7+UUlW1rNeZZGkqWXaa5GN4WzDCeuNomlYe n1FhTc4FXE9BG4VKy6+4uEqI2ixn3/KS0zuIDc4KlD+c2SU8O4h/xTFeV3RQqWEhGeQ6tab4BMN2 L1c4fh2An6FBooAPTzxl8ShBoBUah+lOAQ/y4x7h7McDMVJGAdubMccQ3lxQt8PlQleZUHmu7z7w etvtL1JWmAtu5fvv7uTHv99Llpns4S3DCOuNY7evZF+CVJYDaa9PwqoO3rSoaLy0YNwHrPYvzLA0 P/CYrAAQnj9Nm1cbqv+aNFNzqJ2NtpacUTkewZ9eFa9WOOuxApoHYpwuYKO6wnMm7vWr9xfdKVxV qEk+y8c0+LtovOAVlVjFF0EnC1RqsLvB3M6Rn+4mYj6XuGtadfXWYYT1xqE5e5qAPAcIiar3sBrz BamBcuSBUzicyHGvL1kmyMzXbc4JPzEzglDTuzXMA1f1NG9JMH4NBm96nZstU3hgo4xrQORKV9H8 fmz/SBw1SFDbQj+kJ/mNyniXt0gDwVzXjs6AROQcJFS3BTPAte5d9hCx5qzOMPfC3x8OJXC9LAvl /g5trL0d3jrsN/TGkSaRdM1emjaWwRnwoeVSL6wJc9M+H5c16qLQeo0yiMGtuEwDeT+34mmhG5pj b5GrQCAgrO3QA6tge8cVHZ8WPVrSYL/xfAQXSTNdS71TiQXzDH32IE4H3V4kHCL8YQKIc735fnEd vEY9wdRWkmtAjrz4OXRhsEl2SdRUwWN2hvay3LpVnlDKcsd2GH9XcRzLKoPvO0SuVmG9dRhhvXHk eSp5Bu8p7PFBLqAiy+5YN+W/noVEjNYy40wKlVIvTV+zytAKRwfgeLNX1YHe7J4AvMHf/HqQI0DD xFbP+chjZsTFY+deetziMa0HpMjny2WoVeIAskEF5NeNGCRR+8pqWaWx1eUwX1dugKqoJHaJ1MMA QtXHqpIeJD09ngaC/prYN3QnoFFYy8MmNlO/C4ER1gXMsNp+JaF7E3vS8SszPoEZA2V1Ong3ZfzR Fmb5Kw5op5xKmGgLNsXbB7LHio0jG+4AzsgP8MnMrFqOwlKHIZQhRGUzyzJ0QBv2+Om/SH70pnJ7 fqjeVGCqp3NaqWlbiUqqPGDorrM2P9j36zt6wgniVPcHPH8jjoDhi4X9Qp6e9pRYQFjKv4sBAUOa Hi1DK+tskM3G1nUuBUZYbzwlp6qgUZpCTvEnQhtQ6WCPD5UCCYBv+ojEVW13FHOqdcwpGHwaq4Pn HFn+INunf+ngnKr2038eTGxmK7YMbPXVkCc53AdVDWdfcGRwqnlUP63fgXTuDwu4oT4izLR9xR4h bJ33zppG53EaRw8iG1/BgkBjl7gDGQMSo71djifj4vAom3Us33/A6zjv815VSNw5F0xr+KtghPVG haKfPu9lV8CMzqnL3XtRRZat3N3/Xary2Q2iMxKDj75KkzWP/bdP/+Qbs60rCWM9rfPJzdzjO4KG rT6QBEEuGJbj8XgMiZEtovpoza1iPDDohtsnZlEgO70/Ti9VF4bXDiM+6rJcws7i8e61Ad6fvmkO o1fXdAiArm65+sOWkmtJ0xkl/leV+7GVxf1heUPn1aGRLNm9KGOgM0RqEoe3BiOsN4a6buSXj6Uc KgyBT6Op8IbGmwkVEgbnEIAGna8utOqIEk3IgVodw+bV3fsxggt7e+qeoPMujvGDKYUGw2hvxLfa vOc7Fyp3LBhjEI4HQo6Q5acaLx/RpXY2y4rn7uHvJD+f1ow2D2SEn8GfbnpZhIeGVKgLAwbuIB3m J0aJtpZMni6dhAFrRCUNBr0DBJ4DMzkeMjjVPx4HsovDRv7XP84vhuvPwv9+pd+q4WvBCOsN7g1G kZIH9uvQ2h0HS2iLFdI6BhUE5Auqw0IsezKrVhISkt6mrRf3B7uWQ3cQE2Y5kAlAkNlhncat6qjj wT3fs94SmSZ4cSyH/aOTW8xfU0ey4O4fVfZ3CytlvF7M14rD53GVBgSI18F2z+0UrjbfjaeAc00Z 52bjHAuqfEg37kjQaIODumQeoSc93A+zK37fabhwOwWsQyer5FHy3Nq9S4MR1hsEZiqorAZ3ordQ nkNvNbSjBxXuh0rMh0rwdA9vbpKVSgEY6+5PEh0BxMG0hCzpipWRhlQEoxke4E//NHxCyZCrL06a wDrLVUK4/vrunUvUObPG43yv/NIz7GBYaWERO4bTw1p92F3xpmJRTd455+E+TfWmgwNte+GkigG7 toWoGnEwwVNEkJnUcn9ng/ZLhBHWG0Pf400asN05p2nSENVUymLrZle9ZNmGb0yf9Jyv3zkzOxBW M86bIKDUnUMoxpVSvEZqOQ+ano1qcRd66gGy6dtaUqei1xlVPaY3axWH55jHjuF520nAOfdrhwvD 2OamY5K1nnyWdJToI1RSLh0aMgkaG7pRO6ooPD9OHRkBhlUmWWi28JowX0MbercSubtbarwMlwEj rDdGVoeikXJcLzkHjZzXGPnNUlrQd1Kw6oqXp3p++fjMr5sV1tmn0YRm3VnEMH56LAiwAjm28FVH YjNO89pJSEqPKiwsq0bLvTp+H8N+EMmcsLStaxnR5U/7wHNYmWGri+XvsU0ceEoK9wau42CGRYbF 6eme5KVkBdsczLcQEYaTRz0EKA/Pkj4g9NVivi4RRlhvCG3byeNTI22HedQr94OZndsdnIP6I3cK 50/LoFrHwByndi+T4BI+0h6Pm5wOnBsE9v+c5AFtoRIQBKM6D1Oo0R991WeSAczlIC/ojsIzwiCW tleDwMXPPdORoQpM0CL2OL2EUl2TozF3g64K5I3Xw8pyaGSVDZKn9xJGWJgOZFdgBRraq042500s DBcAI6w3V2FVwrM711qp1mh60/s05ZesY/wSMixoMMdi9UKbl+VcyfMCbqfDwSQ3VXD5GJWI2r5g uM88Q3i0u8QbVF04+UMFl+f3I2GhAhxGP6pg1loGPMHsKp1/ja8Fi8l8bcu5l59LlYcn/rxTOEZK CUNV7VjhUZ81FJLkg6xWleRZJOtVIlmqaUDIdcz2jWz3hXx3l8rDvckVLhVGWG8JaIMYCJFQcuAH 31R6u7czKgrOY6r9WdLiyZ/bxRMn3GRFRGX36SA8SSHs7ETG00WINLHTV0sOSQBM8RosPUM9nvCk DuQCgalG3icisHEZU3bgvjDFzo+va4zz8usxyBWclVODzuBkqMZhuTfh88N0jfHS6o5zMlRs+b0k 4V7j50OcJoYSM2h1Ivk4juTdQyjrHAnVy+8ZLgtGWG8IURjIKk+kbJVcMCTXYbTqqoCBy8KY3RRn T8+UsHDsj/u5uoW2Ki9F2gcUm6pPvJKNxmbptQfkE9KCWPMB9RGaBA3ZA2dGILW2GpX3c+HmEqpi 55B8bDV1GdpHmHnSo/6rrSVbPdBCR/2yEhli9deit/zqges7P/7PldxtXq+aMPPKspf+DgyXAiOs NwRIFNI0lEOtZAE1uD8ZWxATZQRqk+zz/VAR8X7uFG28/3Elc/ycmG1BAZ57O2QlPR+RxVM5N+ye g6LWUZWOyiVne6mkdRoWwUF9BceEnK/psPuop4UQqnYtTzrpWzWu+IDcQJ6aKN23juB66MVAWJqp KH0g9zj2M9wEjLDeEFDFZCnelA2YRKsXtklHlYobRh92yCd84voL3rxtA+JqOZz2lYtPsHlRyzTT L03Gd0u/eNVaHT3uROWupKoyAnUcxewMcy4QqnaBehCAKgqiT8zOUNmh2oqDZcSXKtWVQDk3GyrJ 4lr+/gPi7n+Q7e7Aj3wNVb61eLcCI6w3BLxh7zax1E0njztUVphlnWut9E2MfUHYx/jHoooBQe13 H9nSgcju7n7gbh+G41PysrprqsumkoxPzgFRQLGu8yv3vG5Pj3FbHJ6r0V/X3ZEMOb9yLg4gILRs ODXEdffbX2lJDOuari1Jolm6ZmXlXUxV6Lr8p1hXW0mz+7Gd+/B+JT/+oP5VwPcf3smH7yxj8NZg hPXGgAHxwx28qSopGhzFv/KmPGNXjEE42jkNNtVfL1o0RoOxdWwlcTHwaoesRncgEqz4INYdz4m5 lp9F+WAItGFwUdDUZW0B0bKuN++lqTHD2rFqwgd0VTjdi/I7DvWhom8qVdlD2DqeU/IUr5XImfEx sr7VVtdXTkEA/RYEs0dWOWa4d3MwwnqDAEWlibZxNQbvr95zibGNOvKAH1u+wL3RsaKDATtOJB2g LPcGfnPoGo63YNbqDMQDgsPgG1WaH6arREL3F7EXCOLD7uDz4z+1outASDXnVf516t4f7PVUpAr9 12rzbvoplweOhhuGEdYbxCpHyGcq+30pVb2T7shIb4IXOxwtR79y7de+R4X6maqNKzw0zdOVHt6X p3bpKK1Q11J3wufAmdkAoWuhrV+YOPlD5QgLBwKwtVGvdZ/yjBQd7P3hVA8HEW2P9GljLIMR1pu3 R96sI9nuS+ndRjCrDXzTWQqzfXKumx7/rikKA1pncoM5MBj3e3nTEx0905kyyOcF8tQTYRgLEazb 83O3aXgGCBBm0Hu5XyPSK5K6GSRLVdtlbeBtwyqsNwyISD98h8E6nDqdpsoRFgis69GKwVW0nxGZ SJBhTQZzJ7zJ9Vr8ftBIhKDVHqp3R34uAMIJtrT9QxqPa/1U6BlSNnG83nOSVXj0JeZlqKSwVoPX w5sAAAEySURBVKOSB7VHxp6ffr9Tp4VjLVlfyd9+SOThXuUKfvhvZGUwwnrjWOUZP+ZQGxnN6lPN lP45EtCgOihPSvoYVDTQNMG91OutfFGk9+v7TEkkxCIzQ5N5FVgM4zl0BoaUZXe9tJMogCOoSBwg 5quVYHC2M/h+i9NDMBPU6y1nZl2rJ4gY8uM0EiTE1tGfYEov7+97ub+bVPxGVAYPI6wLhBr1+XLm 67kOKAGe++B3F+QG9H08y6lHFuBynjb0kYsmg/PDe7de0zrNViJdD1cHZ23sxF643PsH71hqMCxh hGU4EZF+G5y6ew6DrtPMSVErLhOCGs7DCMvwl2ESslo1ZfhtMMIyGAwXAyMsg8FwMTDCMhgMFwMj LIPBcDEwwjIYDBcDIyyDwXAxMMIyGAxyKfj/92BkmMQNR20AAAAASUVORK5CYII=