20230622 08574100 1.0 FALSE App_Counties_Solar_Potential 002 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&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;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 20230622 08574100 20230622 08574100 Esri ArcGIS 13.1.2.41833 App_Counties_Solar_Potential File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE App_Counties_Solar_Potential Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. Join_Count Join_Count Integer 4 0 0 TARGET_FID TARGET_FID Integer 4 0 0 OBJECTID_1 OBJECTID_1 Integer 4 0 0 County_State County_State String 8000 0 0 STATE1 STATE1 String 8000 0 0 State State String 8000 0 0 State_Ab State_Ab String 8000 0 0 Name Name String 8000 0 0 NAME1 NAME1 String 8000 0 0 OBJECTID_12 OBJECTID_1 Integer 4 0 0 County_State_1 County_State String 8000 0 0 STATE1_1 STATE1 String 8000 0 0 State_1 State String 8000 0 0 State_Ab_1 State_Ab String 8000 0 0 Name_1 Name String 8000 0 0 NAME1_1 NAME1 String 8000 0 0 Appalachian Appalachian String 8000 0 0 F_OBJECTID_ *OBJECTID* Integer 4 0 0 County_State_12 County_State String 8000 0 0 STATE1_12 STATE1 String 8000 0 0 NAME1_12 NAME1 String 8000 0 0 State_12 State String 8000 0 0 Name_12 Name String 8000 0 0 State_Ab_12 State_Ab String 8000 0 0 Appalachian_1 Appalachian String 8000 0 0 CSP_Count CSP_Count Integer 4 0 0 Refine_Count Refine_Count Integer 4 0 0 ProdTerm_Count ProdTerm_Count Integer 4 0 0 Battery_PP Battery_PP Integer 4 0 0 Biomass_PP Biomass_PP Integer 4 0 0 Coal_PP Coal_PP Integer 4 0 0 Hydroelectric_PP Hydroelectric_PP Integer 4 0 0 NG_PP NG_PP Integer 4 0 0 Nuclear_PP Nuclear_PP Integer 4 0 0 Other_PP Other_PP Integer 4 0 0 Petrol_PP Petrol_PP Integer 4 0 0 PS_PP PS_PP Integer 4 0 0 Solar_PP Solar_PP Integer 4 0 0 Wind_PP Wind_PP Integer 4 0 0 Rail_Accidents_Count Rail_Accidents_Count Integer 4 0 0 LAPL_Count LAPL_Count Integer 4 0 0 RNG_Count RNG_Count Integer 4 0 0 SEM_Count SEM_Count Integer 4 0 0 Construction_Count Construction_Count String 8000 0 0 Mothballed_Count Mothballed_Count String 8000 0 0 Retired_Count Retired_Count String 8000 0 0 Operating_Count Operating_Count String 8000 0 0 Wind_Turbines_Count Wind_Turbines_Count Integer 4 0 0 Producing_Wells_Count Producing_Wells_Count Integer 4 0 0 Nonactive_Wells_Count Nonactive_Wells_Count Integer 4 0 0 SMO_Wells_Count SMO_Wells_Count Integer 4 0 0 Development_Wells_Count Development_Wells_Count Integer 4 0 0 Unknown_Wells_Count Unknown_Wells_Count Integer 4 0 0 Brownfields_Count Brownfields_Count Integer 4 0 0 Coal_Waste_Count Coal_Waste_Count Integer 4 0 0 Coal_Mines_Count Coal_Mines_Count Integer 4 0 0 Waterway_Nodes_Count Waterway_Nodes_Count Integer 4 0 0 Water_Port_Count Water_Port_Count Integer 4 0 0 Aviation_Port_Count Aviation_Port_Count Integer 4 0 0 region_name region_name String 8000 0 0 state_name state_name String 8000 0 0 lat_max lat_max Double 8 0 0 lat_min lat_min Double 8 0 0 lng_max lng_max Double 8 0 0 lng_min lng_min Double 8 0 0 lat_avg lat_avg Double 8 0 0 lng_avg lng_avg Double 8 0 0 yearly_sunlight_kwh_kw_threshold_avg yearly_sunlight_kwh_kw_threshold_avg Double 8 0 0 count_qualified count_qualified Integer 4 0 0 percent_covered percent_covered Double 8 0 0 percent_qualified percent_qualified Double 8 0 0 number_of_panels_n number_of_panels_n Integer 4 0 0 number_of_panels_s number_of_panels_s Integer 4 0 0 number_of_panels_e number_of_panels_e Integer 4 0 0 number_of_panels_w number_of_panels_w Integer 4 0 0 number_of_panels_f number_of_panels_f Double 8 0 0 number_of_panels_median number_of_panels_median Integer 4 0 0 number_of_panels_total number_of_panels_total Double 8 0 0 kw_median kw_median Double 8 0 0 kw_total kw_total Double 8 0 0 yearly_sunlight_kwh_n yearly_sunlight_kwh_n Double 8 0 0 yearly_sunlight_kwh_s yearly_sunlight_kwh_s Double 8 0 0 yearly_sunlight_kwh_e yearly_sunlight_kwh_e Double 8 0 0 yearly_sunlight_kwh_w yearly_sunlight_kwh_w Double 8 0 0 yearly_sunlight_kwh_f yearly_sunlight_kwh_f Double 8 0 0 yearly_sunlight_kwh_median yearly_sunlight_kwh_median Double 8 0 0 yearly_sunlight_kwh_total yearly_sunlight_kwh_total Double 8 0 0 install_size_kw_buckets_json install_size_kw_buckets_json String 8000 0 0 carbon_offset_metric_tons carbon_offset_metric_tons Double 8 0 0 existing_installs_count existing_installs_count Integer 4 0 0 DDLat DDLat Double 8 0 0 DDLon DDLon Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20230622 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD1e4iE c7HA+bnNRVcvpoAjBpEDKc4J5/zzVFJEkXcjBh6imSOooooAkghM0oUdO5rZAAGOwqtZReXDuI+Z +fwqzSGhHXcjDJ5HY4qosUkSJEqSsu7ljLyB61cooGA4AHXA70ueKSjtQAUUUUAB+ZSOmfSoWtww H72UfR6mooAQqCvfIqv5aPcOu0Z2jd71YZ1RSzHAHWs37WVneRRwexoEXhbQhQPLXA6cU5YoozuV FGO9Un1AkfImD71HLdtLCFPBzzjvQBZmvlXiP5j69qpS3DzfePHoKipcUwEoPApc0lAheBRk0lSJ BK4JVDgd6TaW40myPNVLrUbe1B3tlh/CKxrvXJpMpCvlr0z3rKZizFmJJPUmuiGHlLV6IlySO18P Xn9oyTs8YATG0V0Nef6HrB0tnUReZ5pA64xXffP7VlVg4Sa6FRd0Oopvz+i/nQCxHQdcVncqw6im /vPRfzpu594XC9M9aXMFiSim/N7Um595XC9M9aHKwWH0U3956L+dNYyjGFQ8+tDlYLElFM/e+ifm aMOfT86FK4WIJbWGXO+JGJzyVBP+eB+VZgt1tR5SJtUcAAVtYxjioJbcTlMsyhT/AA45+tUSZqqW OFBJ9BV6CxOQ0uP92rkcaxrhVUe4FOoCwySVYgC7KoJwMnvUf2uHeE8xNzLuAzyR61PSYGc0DDn2 o59qWigBOfal5x2oooAasgYZAYfVSKY9wiEghyR12oT/ACFO8xAoJdR+NQLcIl1IuVYsARgj6UAT iQFd2GA91I/nXNzePdFikaMvMWUkHEZropZW8tv3D9D0x/jXkWnaG+q6lcPKHjtlkYlgPvHPQVvQ pxndy6FxUbNyO4/4S/StQG2O5ESgjiX5cmroYEZBBB9KzLLQtHFz+905ZE2HIVSccgZx+Nb62Onw 23lWsckIX7oCPge2MVNSMU7RMnKL1iUt6+Zs5zjNKOelSJai4t3ljkVpE4Kpk59s8YqPPGazAXpS VUuNStbZcvKCT0VOSawrzx7o1jO0MzSiRcbl2cjOMe3Q/pVKnJ6pFRjKbtFXZ05IAJJwB1JrHu9e RCUtl3n++elef+IviLcXsqw6YnlWyNlmbrL9fQV6l4LsLafw/a6jIqyS3UQZ1IBVT7Vt7L2ceaoj Sth6lKKlLqWtAt7n7O8t8mWkIZM4PykVsv8Acb6VBdXcVpIEZGwVGNoGBUDapbmNuJM46Yrmlrdp GSa0uxf7G04/8ukf5Uf2Np3/AD5x/lV1NzDmNl+uKHLA4CH/AHu1HtHa92Oy2KX9kaeORaRAj2q9 TQnqSSevJpoCLnLkY65Y1LlLdjsuhJTIc+UpPUjJoGxl4bI9Q1IkSgDBf/vs/wCNTq2mh6WsySmf 8th/umkl4iJBII96Upg7lzkeppybbsCH0mPmJ9qYJkJI+bI6/Kagu70W2zCFt2evFNSjJ6MTTitS 3TXxtyTgA5rLOrydol/Oo5NUmdCoVFz3AzVuE3pYhVIb3Nqk5HpUFpI09ukhck4wRgdanXdj5iCf YYqU/IoWkUcClpF6CmAtFFFAB+FFFFABRRRQAUVCwny+CmP4OP50Q/aNzeb5ez+HbnP4/pQAxbk7 R/os3/fI/wAaR5YpYG2kbsAleMjnvU6MpUAHtVd7eKW9O6NSPL5475oAtH7prmmVUdgoAGTwK6MQ xjotNNrAykGJSPpWkJ8pE4cxj6bL5V+D5bvmNvuj3Fbq3O5SfKkX2IH+NVIrWC3ux5MaoSh3Y+ox /WrdKUru4RhZWGRECWVwjLuxwRjpUU8SmQyLaqxxyS2M/XipWkVGwxwMZyajkuogAA4JZgoAPqcV Oo7I80uMm6l453nj8azdT+Heo64q6hYiISSnDCWQrwOOmPau+tPCoS/aa7lWRDlgEyMNkH/Guj3x xjBIUeldk8Ty/AXQnOlLnifOEnhyWwvbi0v9vmQsUPltkZFeyeGb+a18N2EEe3YkQAyK4LxMCPEu oEg4MzEZ7iur0W/tItHtUe4jVgnIJ6VtVfPCLZtjas6kItm5PdyXVwfMx8qjGB9aYehrIv78xSI1 tIpDryRzVQardk43j8q5kpON4rTU4OTXVnpy/dH0psn3R9aUZMYwcHHWmqCxyeQOnvXM30NF3GE4 FNEYL72+9jp2p84+VSOxyfpUYnTjDdegxWUnHmtI1jdrQRIWeWQ78KG4AHsKkZTGMk5X1PWnQ5+f II+bv9BTyAWGacYJK6Jc3fUhJBQllO33HWm7lXnoD04q1TJTiJuQDinKLSuCn0IU4z6nk+1R3MC3 EZRuvVT6Gp1gjaELtOCO55pGUpjccj19KSulqO6bOckieFyrqQRTK3ryFLiIrzuHQgZqGLSVjBeY h8D7tdEa6trujCVLXQoWt69qcfeTutbcRkmiWQLtB7N1qJra3D7xCuEPSr3bis21N6aGivFakNIv 3RS0i/dFIsWiig0AFGRRSAgkgHp1oAWiiigANFFJQAifcH0qhc3ptrtgqbsqM5Per6AbBx2qu2l2 t1GHkVw7D7yuRj8M4qo2vqTO9tDNfULh3JD7QTwB2rWSWQouYm5A5yKovoyxci6crnjdHuP6Y/lW gjxjbHvXeFHy5wfyqpuOliafNrcjtuWn3D94JCG+nUfoRViqE4tftil5du9WLYlKgkYHY1OLSAgE GQg9CJm/xrM0I9TbbZH3YCsQMEkikJwqSKx+gOa6JIFCbHAcZz82T/MmsKa3kDyBIpHXJwQhNbU2 rNMxqJ3TR0QIIyOc96KqWjyCOCGRHU+QpyfUYBH15FWse5rC5seS+Pf+Rrn/AOuaf+g1zQBJwAT9 K9ev/BthreoyX93NOGPy7UIA449Kl0nwbpekXxuIBPI23GJmVl/LFd1LFRVNWR0KtGKt1K2g6Dp8 mj2U8kJMjRgnJ61bfwvpoBYJICOfvVszpsjURABgfkUDgnHTimt5n3GULkH5s5B+n+e1cM6rcne5 grPUzxrUgGPITj/aP+FalrN9otkkxgnqK5C/vrbTbWS6u5VjiTqT/Ie9ea3nxP11buQabciG0z+7 R4lJAroVCTfualYXDVMRfl0SPfj1FLgV5J4J8Z65rV9J9t1SEiMZFv5QDP759K9QhvFuYRsI34+b H8NZTTg2pIVahKlPkb1JGBZyVlYDPY05MhgCxP1pAMDArI1Ocm4CKxAQc49amMLsiTtE3Mj1FRDE jbnxj+EZrmWkc8b2596t6XsF2FZFYMMDIzzVVIdeiMoyOhzTHdBkH5j6Ukiqqk7QT0GelRfc4HLE 5qJSa0NIxTHIzvI3ygbcY54p7KxU7mGPTFQ4CMWyzOew/wAKzNb1eTSEj+TzPMz8uf61EFJ+7a7K klubHlBoirABiOSBimed5SqmNxAAJFcnZeLp5L1VvIlaFzjEQOV/xrsIpYpIleNlKEZGK0nRlB9i FJddRtIv3RS0gA2jmgsbIrumEfYc9cZqNYZ1cE3TMM/dKD/Cp6KACmGGMszGNct94460+jOKAGoi xoERQqgYAAwBTqOtIwyuMkH1FAC0h6Go4onjYlpmcHsccVIxwpPtQAgyAOP1pgi3bDIqnaMAdfxq Wsm7vriK5dEcBR0G0VUYuWiJlJR1ZpSSJAyKSqqxI54HSpBg8jmsuwu5p5yk7KyhM5IA5zWhiKUg /KxU8YOcUpJp2Y4tNXRNDuMfzqAdxxj0zx+lYE97deYypOUAJ6Kp/mK3IfkMmXLAtlR6DAGPzzXm vin4hafpmuy2cVo8/lcO6OAM1tRjzu1rijRq1Hamrs7m11TMSJMjGU8fIMg1fjljfhXUt1KgjIrg fBnjS017Xks47WSOQozZYgjgV6KY0bqg/KpqU+WVhyjOm+WorMiONw9cU0xKTnL/APfZpfs0cbgw oiOQe3apBG2OSM+1YON3ZoalZCQLtj298885zTJdxnG1yuF5wB/WkjXgtvY7jnrxTj98erVO8Uth 295sC2ChZjwev14p833R68/yNQskjEcrgEHp6Gh3ZnY7gCqkY9f88UnKyegcuqMbxR4PsPEmktal FhmX5opUGNre/qK8E1nwrrOgyst9YyrGDxKoyhHrkf1r6eHSq99Zw39lLbTgmORSrYOP1rso1pUl aOx0YXGzo+69UeKfDTSlZp9UZjuX90i9vc16Qrun3HZT/snFN0/w1HpFl5FhEBDuLYDEkn15qzLZ TQwiRhx3A7U5VoVNZdTmxc51azmvkSLqlwEKkB27HHNVJGZ5GZ/vE5Na+l2LRnz5VwSPlBq9LDEQ SY1LHjpWSajJyWxi05JJnMmKRcMyMA33eOtaGk23mTmVvup0+tbQjUKq7RhelRsBE48sAM3JHY0p Tko2Y1BX0HSIzFcYwOoNQR5fJBGQcO2entUxkJ+XBDGuf8UxXVvZ+dayskLHEyr396iMOeehpzOK szajv7AKSt1CADgkuBk/j1rlfFl8l2IvIu4XhXqgPzFvXp/WuYGWIUZJPAFJJHIr7HBQg8gjBrvh h+RrUybuXtIkCXwBA+cEZ9K3JbS3nffJErNjGSK5RHeOVWDYKnINTNczOdxlck981rKHMyGtT1Kk XoPpS0i9BXmHSLRRRQAjdPvbagIIfBlJqWWFJozHIMqcZGcdDmqrabbbwfLOR0O9vTHrQBbQ5HBp 1RQW0VupES7c9eSf51LQAVHcnbayt6IT+lSVDd/8eU//AFzb+VAEg37RwOleYXvjaY3k2LOPhyOW PavTRNEqjMiDj1rwq6Rnvbjapb943Qe9dWFjFt3NIQjL4judO1+G9CuwMXGDnpn61rpIrpmN8qf7 p61wmlqVtQpGGLE471v6HE0+r28O4hSSWGTggAmt5wSTaOScEptRO706IQ2ES4PI3cnPXn+tfOGv 2dx/b1+yWswQzvj5CeM+tfSyq6pgupPYhcAUkZWWBTgFWGeRXLRr+ybdr3PQw2I9g27XPHfhBpzv rt5cMHieGH5WKccnBHNezyO0Sg8H1JqOG3himMiKqEjadoAzTppThkVGJ2nnHFZ4itz3lsZVqrr1 eawbiJVdyAAMf5/Kp6rsFkRkzwQQcGhABGAGJGOuetZRbT0M3G4KDGmwDO3jNRYczKS2dvUAeooE qo7qPmGMjByc1IGAJJ+XPUEYrL3ZWV9v0NNUKHyCdrDHqKjVcws5A3MCaHlRkKq2S3GRzinlMjG5 sVXxPuLYXbkDcSTTZYwwByRjnHrVS4e8WT9wC0eOpFU5L66UmOTAPcEVap88dEQ58j1NsdKawDFV OMMcHNVLCSWeJmkbABwMCrO3MvLN8uCP1pSvtYa11LVNY42+5xUZ3H+Nh+VRSNsZcySHJ7Y4/SnK dlsSoXZbqEndIT6cCo5G8tNzSvjp2/wqLD7fvuij+8RyamVTW1iow6lqIZJf8BRcwrcW0kLqGV1I wahVsYXfKuMdVwPzxUhVsEeY/P0rSElbQiUXcitdKsrRFEVtGCB1Iya5rxrHCsls6qombOcdSK6r 5v77Vn6lottqkkb3Ly5QYG1gP6VrCpaV2Tys85puGHAxj3ru/wDhENN/v3H/AH2P8KT/AIRDTf79 x/32P8K6vrMBcjN89DzzVdY7jaMXC9c8x9vTrU7dPrS1wGoiBggDsGbuQMZpaKKACikzz0paACii igAqC9/48bj/AK5N/Kp81W1FsaZdHIGIX/kaAPCG++frWlo+fMl9MCuKuob+2mCzLMrPyoyea2vD P2sau0Nw867EyUZiPzHevam7RuepXw37ptSR6Z4WRm1yNhjaqtu/Ku4MMCEv5UYb1CjJrivCgLaq xBxiMniu2jBKh2OSRn6V5WJm3U5TyoL3biB1VVjTIPQZU05YlUfLuH/AjQ+crjrn19qUF8cqM+ma 5uvvF9NCORVDI7KGIOASuSKf5n91HP4Y/nSFnyo2gEn60/PqMULVuzH0GbBIwfCnHT5eQenWlKSF 1CsAuecDnFIp+UlADyeOlDsREWYYwM8NSsrX+Ya3HySx2VuC7EheB6mhbpJYw0XzZ/T61z0txNcE B3ZsHgVoadavGzNKCMjhc9a1knGKtp5GMWpSZcV1VmDMpJPJFBLIpZANg5we/wBPSnuo2cDpzimy tuT5BuOQQBWDTirG61Y5Q6qBw36VWu7ZblD8pR1GQxxVnzFCEnj2NIE3IAzFgaryiyfUIEEcCKow ABQv+vf/AHR/WkQZyA5wpwAO1NdX3MSVK4H40nJ2TsNLVolG+Rvl+VAPvEdT7UFdo2ZBdvvGkZQg yow3QEUg3KMkbvcd6fqIGiQr0PHIpYmJdd/HGQfWkdwVKgnce1P2jGMcU7Ju8Qe1mE6ef8qNtZDn cOxxQjB0DdiM0gLRoVGTno3XB96QhUUY4xwKaWtydlYfRSE4xSFuOKsA3kcEUu4d6pGxhjjKouBn cMHoc5/nVKRFDBWjU7QByM0CNojIxQDkUpOBSLwKBi0UUUAFFFFABRQKa5KoSBkigB1UNZg+0aTc RiN5GK/Kqdc9qs+ZMGw0aknptbr+dRNudyGdnJX7sZ4HtTTs7geYyRqXG9QWGRyK0ZNMt5rUaikC LdlfndRgsK7GXQ9Pu1a4eIb2XJK8D8qsx6baw2hihhRQy4Oea6pYlPZGfLJbM5zwdHm6uX7bMfrX W+Xt2hWYAcYz7VSttLttOMjWhZGkxwTkVZMhUqJD86njA+9nj+tclaSnJysax0ViUxqcZyccjJ6V Isbd2BqPfj7ylakMo+UJhiahcq1FLmGsHVuQNvrmmvtbaue+ePbmpTyCjYOenFNMWwgqMjv7cUNP 5ApETBkwFfqeBj86axYExcuTgjNPBV5FbORtyB6f5zSnLYKgkg9cVFl0Zd+5E0ESTLKIxvJxT2/e MBhl9+lOZgwQhuppXztyOo5ptXv2BDRGckMxYdgaAQkhHZjz7UindIwVuOuaDIFBUBduO560RV9U D03HMQ7qvUDmm7WEjbemO/rUcLOEzwQT0z932qcAjOTkmlH3tweggQDkEg96a25gycMOhpWkKk/J lB3FOQYUk8E84p6P3UGq1Y0tu2kevSnM+0DAJJ6AUyRQzqBnPfHpT1QKcjPt7U1zXaFoCKcln6n9 KfSGirSsSwpGGRS0HJFMCrLIsIDEN+AzUMeoxORhJORnlTVx2Vep9qbGM/OeM9KBEU32iaEGBkRS pzvU56cViy/b2fiSDgYOUNdGQSCPasU/eOeuaAZt9Wx2FLQBgUUDCiiigAopsjrHGztnCgk4FKjp IgdGyDQAo61GS8jGNF+rnoK4zx941m8LC3htEie6m+cCRSQEHBzgjvXltp481+DxBJqUV3iS4YCS IjMZHYba6KeGnOPMdVLB1KsOZaH0IisPkds7DjpjPvUa/wCjziMLiOQkrgcKcdPx/wAaktFW5sop Z1SR5Y1L5AIzj/HNV7qVIbiQrbSTFYwCFA2j25PU7hWDRxp9CcnbMRGckj5l7D3+tNSBDCQXd9w5 YsarQ6jbW8LvdE2vzFv3+F4Jz64NQ6PqtnqzXK2kjyRRPj7uE59O9Fna5dupeRdiL8mSOjk9akdZ ZB1VMEHjnOKRm8r5SAUPAGPu/X2pGJtkD5LRKDkADj6VzKSinf5l2bJA6uAp6kZ2nrQrFX8wjK9A B2puzMZbgsTu+U/57URyEoCqHb0x3FVzO6uK2mhI3lykFCC46YPT60kt5HbpmUnOccKetNDs0ilB wuck1KEE0JWVVYMeRVwd3oZyVlqc89ywnlkj4DZGG9K3bq6ht4sSMcsOAOtVrexjinlYqGIbC5H3 R1pt9AJY1VV3zDhecbR70OUI6pWQKMnuzJEsgxh2G05HPStGwuZ7iQo8nAGenJrPmt5YG2yLj3HI q1p0UrSGRCAo4Oe9b1FDk5omUHPnszVcAYCnDDp3pNn7xQxJ46H/AD70sZwTuTZzwSc5pz7dvzDP piuayaudN7aAwVUY4GMc4701N5Qdvc0qglsPgkcg04nAJNVvqLbQYyjCp2J5oGUOCCV7HrSoCSWP ft6U+hLqDfQagJyzcE9B6CnUUVSViWFFFFMAoooFAEEu1p1RhwBmnJMjkgcAetPZEPLKD9Rmq86M cSQ89iO2KAJpDsYMQSvQ47VmSwuJDtBZTyCO9Wo7tkIWRCAAAeKe0KSsSjnH14oEPmuPLj3oofON o3YzSQXLyf62LyxjrnIz6VMiCUGOUKSuCCO4qrqtxGto0OCxfj5e31qlG5LlYsyzRwR+ZI4VPU0z 7QvDH/VkZD5zmsFppHh8p3LJkEA9qu6a7GCaNsmMY2/7PX9KqVNxVxRqKTsXn/eS7gNyxgMAP4s5 /wDrU/5kVjFhhydvvUkZUxqU+6RkVnX908E4WBgrEZfjP0qEm3ZFtpK7OX1/QrPX9bS51KMsIU8u OMN8o5yc+pzTtO8IaIuoRyR6ZCxT5sEZHHtWhIN4JJ+YnO739a29PRYbXcYyj4G4nnNdMpuEeUmF WpJ25nZEzuI496oYz6kgAfWmSlUtWIDTMAzbgM89aeoSRvMlxnsrdqdG6h5QCG+ccL2yBXKWc54t 0O88Q2kH2J0/dAsUbjcT71zfga2voNdnhkklgihz5secAt0ANegQmdbqRouIhx5TDGTx8386tW1v bqrSJGu+Q5dsck+9Wq7cPZo0U3GLTEO2NgR0PBpAzGRlUjaADz70hh2zsVPTlRngUjNuODxg8svb /P8AWuS7W+gKzEihZWZDIWXg/j3/AApx3RR4VlwB3FLlY8kEk455pI1EsW5+Sw59qSil7sd9eo27 6vYch2qMjGec06OULJt/hPftUauzRYCH05OKa2xoNhHPTHvVc9krEuN9yRnJmJAwCMAnoTSKzozm QcZ4I7CgEvGM/fU5I+hoMsbIRuHIov1v5hbpYr6k0YtcOCSx+XHrTNLljFtsJCsDk5NSzWpuYgrN juPasV0aKRkPBBxXRTXOuzMZvkd+h0boJEKnpSRjK7u5rJsZJ96r8zQ5wfTmtUfum2qCVxnA7VlK ynqaxd46Dyueeh9ajwWOzcWHfilaTjhSCemRT1AVQKNJPQNULRR3pa0JE6UUUUAFFJzRn2oAWgda M9qOhoAKYw2/Mo57+9PooAjZUljOADuHcVQa0nU4Tp9auS7oT5in5M/MtPVkkG4YPbrQIVXUANuB LDIx3qF1xsygCM2GQ+/ei1RIS8IzuVicsDkgnP8AWpJ8EKH+4Tz/AEoGUn0+2kuwFLLgbiobg1f2 BIysYC8cYFMaAZ3JwwGFA4FEbGdd4YqhOMfTrTbb3EklsRpbbogfOkDlcblOMDsKgutOTy5JVd2k AJ5Oc1M01u0iiK6RTnDBHXnt0+vFTSpldxc7QPmHGCKlzcbtD5VLRmTZWv7zzblSiLggOMZNXmcm 6IiJJ4yNvHHv0q5uUKDkAdqjA82Edj1BHrQ5uT1CMFFaDJOSCVXd3ymaVNqRM8RX5mySBx2B/lSF nuI2RV2jozMPzxUqEFOgAHGPTFJu+g0raieUN28H58YyaFaQZZFABHQ9zSKpbdglUzxil3+WAhHP QY71lpvsVvpuKAWXdnk8nHrTELmMbVC+ue5pQGiXGQcnjtS+WcZ3EHrx0zTs2GgRKAikAAkfNSNh j+7I3A9c1GqORuJ3YJyB0PNSeYFbdj5cYyO1JSvFJ6Da10CNsEqw2sSTinp90jng9fWmSGR1zGBw e/elR/l2ohyOOeBTi7Owmrq4SgcMDhh0OM59qanmscNt4P51Iq4JYnJP6UMDncvXHQ96pxu7iv0E 3OOSmR7GqsllHd3avnGB86kYq1vOBhDuPY9qVC8YPG4k/lRrfRia02E8oW0eEGI1GfpSBgoz1Zuc CnsXbhiMHsB/WmttiUsqE8jhRz1p2d9AW2o0kylQB8v8VS1AtzubHkzDjOSn6Ushn3r5aoUPXcSC P0ppW1BslK9xwaMd6bGZCP3qqpzxtYn+gp5AIIIyD2qhEZniVwjOoY9Bnr/nNGXb5l2kHpmlEMYx 8i5HtTwABgDAoAaN2ecYp1FFABVG6ivWuQ8E8aRBCCrJk7vWr1HWgCjBDqCygzXMLx55Cx4P86uE HPDY9qaY2OGU7T9Ka/mAHK7/AE2jkUAPVtxKMOfT1FVngTecMq+2cU9pUlcBSVlHQEfpVS5/1vzq QxHQEUCL+FluE3x5UA4J9akltomUtsBkUHa2MsPoaQgPLFyCQdw+mMf1qSYZiIxkkjAzjvVImW5A RKFjVpBlgckLg9KZskt4CIwJMA4B4JNTTkCaEZ6k/wAqSTJAUcbjgn2pMpO6OaIDj5vmz6ir1jdT vdJAZ9wIyVfk4FTXOloq74nZcsBtxxyw/wAatiyhWARqvIO4E9c1pOcZRsZQhKLuTPGpBOACe+KR 1AG/nHcDvQC0gI6DoaaV2MuSzDoB6VySS6I6UPLrnYrDd7HpTWCKwAGW9PWhkDSKejAHkU5Bgt65 6+tOzbsw22FDgnofxqN5V3qMtgc8AnNOYCRwMcKck/0pSMSL6YNEuZoFYRnDgqoJOPTFALIAH+YA feFK/wArb+g/ipozIMn7nYetGt/MOnkEci+XnPGSB+dM+fzMBPl3buKcpjWVzxuz/Sncuf4lUfhm ps2kr7DvZ3EJZ227cAdealAwMCkChelLWsVbVkNhRRRj1qhBRRRQAuKTrR3ooAKKKKACkpaKAExi loooAKKKKACiiigBTSUUUAQXETOoMZw4OajW6hx+9ADjg8Zq2elQm3Xtj8RQBIEUYwuMDAqBxKWO IkIB4JaiigBUt1kQNPEok7gEnFSLbxKRtTH40UUAO2Lk8detIsMaqQFwD15oooAEiSMYUYFI0YY8 lsfWiilyq1h3Y7y1znHPrRs+bOW+maKKOVBdieUOzuPoaPKB6sx/GiilyRDmYrJuGMmk8tjwz5X0 AxRRQ4phdihAOlLj3NFFVYQ1w207D82OM9KiRLrje8fbOM/jRRQAvkSf8/EmN+78PT6VNj3NFFAC AHHWlwfWiigAwfWlwfWiigBOfajn2oooAOfajn2oooAOfajn2oooAMGjBoooAPm9qOfaiigA59qO faiigA59qOfaiigD/9k=