20250602 22040200 1.0 FALSE D4_POD 002 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_New_Mexico_Central_FIPS_3002_Feet <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/3.6.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_New_Mexico_Central_FIPS_3002_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,1640416.666666667],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-106.25],PARAMETER[&quot;Scale_Factor&quot;,0.9999],PARAMETER[&quot;Latitude_Of_Origin&quot;,31.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2258]],VERTCS[&quot;NAD_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;Esri&quot;,115702]]</WKT><XOrigin>-16806300</XOrigin><YOrigin>-44067200</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>102713</WKID><LatestWKID>2258</LatestWKID><VCSWKID>115702</VCSWKID><LatestVCSWKID>115702</LatestVCSWKID></ProjectedCoordinateSystem> 20260305 15423400 20260625 11181500 150000000 5000 ItemDescription Esri ArcGIS 13.6.0.59527 D4_POD D4_POD is considered the primary permitted Point of Diversion layer for D4 water right branch version work flow systems. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Able to create point of diversion points (GW and SW) via in situ report collection as well as ArcGIS Pro work spaces. It's connected to 8 relationship class tables (D4 POD Water Rights, Well Contact Info, Well Inspection, Meter Info, Meter Tests, Water Level Measurements, Well Driller Meetings, and Wellhead/Casing Inspections) to assist with field reports and out-of-office data collection. Can be used in conjunction with D4_POU layer.</SPAN></P></DIV></DIV></DIV> Caitlyn L. Owens NM Office of the State Engineer District 04 Lead Water Resource Professional D4 D4 GIS OSE D4 D4 POD <DIV STYLE="text-align:Left;"><DIV><P><SPAN>This data compilation has been developed for supporting OSE District 04 water rights administration and is furnished by the Office of the State Engineer/Interstate Stream Commission (OSE/ISC) and may include inaccuracies or typographical errors. Changes and improvements may be made at any time. The data is accepted for use by the recipient individual or entity with the expressed understanding that the OSE/ISC and author(s) of the data make no warranties, expressed or implied, concerning the accuracy, completeness, reliability, usability or suitability for any particular purpose of the data. The OSE/ISC and author(s) of the data shall not be liable to any individual or entity by reason of any use made thereof. The data will not be furnished by the recipient to any third party under any circumstance. Information on the source of the data may be furnished to anyone requesting the information. Your acceptance below indicates that you agree to this DISCLAIMER and stated conditions of the release of this data</SPAN></P></DIV></DIV> File Geodatabase Feature Class dataset EPSG 5.3(9.0.0) 0 Simple FALSE 0 TRUE FALSE D4_POD 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. pod_basin POD Basin String 25 0 0 pod_nbr POD Number String 25 0 0 pod_suffix POD Suffix String 25 0 0 pod_file POD Number String 255 0 0 pod_name POD Name String 255 0 0 pod_rec_nb pod_rec_nbr Double 8 0 0 s_id s_id Double 8 0 0 well_tag Well Tag String 10 0 0 amigo AMIGO String 255 0 0 compliance Compliance String 255 0 0 field_blitz Field Blitz String 256 0 0 remarks Remarks String 500 0 0 due_date Due Date Date 8 0 0 due_date_note Due Date Note String 500 0 0 div_stip Diversion Stipulation String 300 0 0 returnflow Return Flow Credit String 255 0 0 x_dms X_DMS String 25 0 0 y_dms Y_DMS String 25 0 0 x X_feet Double 8 0 0 y Y_feet Double 8 0 0 creator Creator String 255 0 0 createdate CreateDate Date 8 0 0 editor Editor String 255 0 0 editdate EditDate Date 8 0 0 globalid GlobalID GlobalID 38 0 0 esrignss_positionsourcetype Position source type SmallInteger 2 0 0 esrignss_receiver Receiver Name String 50 0 0 esrignss_latitude Latitude Double 8 0 0 esrignss_longitude Longitude Double 8 0 0 esrignss_altitude Altitude Double 8 0 0 esrignss_h_rms Horizontal Accuracy (m) Double 8 0 0 esrignss_v_rms Vertical Accuracy (m) Double 8 0 0 esrignss_fixtype Fix Type SmallInteger 2 0 0 esrignss_correctionage Correction Age Double 8 0 0 esrignss_stationid Station ID SmallInteger 2 0 0 esrignss_numsats Number of Satellites SmallInteger 2 0 0 esrignss_pdop PDOP Double 8 0 0 esrignss_hdop HDOP Double 8 0 0 esrignss_vdop VDOP Double 8 0 0 esrignss_direction Direction of travel (°) Double 8 0 0 esrignss_speed Speed (km/h) Double 8 0 0 esrisnsr_azimuth Compass reading (°) Double 8 0 0 esrignss_avg_h_rms Average Horizontal Accuracy (m) Double 8 0 0 esrignss_avg_v_rms Average Vertical Accuracy (m) Double 8 0 0 esrignss_avg_positions Averaged Positions SmallInteger 2 0 0 esrignss_h_stddev Standard Deviation (m) Double 8 0 0 esrignss_fixdatetime Fix Time Date 8 0 0 pod_status POD Status String 50 0 0 20260625 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAFUAhcDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA oopskiwxtI7BEUFmYnAAHU0AY3izxv4d8BaYdS8Ta/pfh3TgcG71a8jtYs4zjfIwHQetV/BXxH8J /Emwe+8JeJ9H8T2aEB59Hv4rtEJ6AmNiAeDwfSvyXtrjxX+2b8ZNI1MW+na14o8WyXt3o8fiMvLp fhvRoGAGyEdXYeWcqAWd8kqM5PiB4L8c/skfFm5uITo+l+PtE0keJbDWPDCSW1lrunpJtuLW7tye cldpBJ+8rKRivbWWJpU/aL2rXNy2e1uZK+12tbfK9z5aWeNN1vYv2Clyud1upcrfLvyqWje/WzWp +xdFYvgrxRb+N/Bug+I7QbbTV7C31CEZzhJY1kXn6MK2q8Q+pCiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApCMjB5FLRQB+R 3xN+EHjX9j/4hW09hJregaTol7dT+EvHek6b/aNqlncHdJY30Khsbd235wobYGUjbWdoHhL4jftm +ObyW21HV/GF7r1vFpWq+OLrSTpulaNpO8mSK1jYKJHYM5CIWLMdzEYJr9gqK9hZnUUV7kedLl59 ea1rd7Xtpe17dT5uWR0ZTf72fsnLndO65HK/Nfbms5auPNyt9ChoGiWnhnQtN0ewj8qx0+2jtLdP 7scahVH5AVfoorxz6QKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDyj9 oz9ozQP2cfB9rquq2l3rOralcfYtI0LTgpudQuNpbauThUUDLyHhR6kgH5Htf+CjnxQXX2WfwD4K vYkUNJ4csPErnVowOW+Zo/LYgdtoGR154o/8FGYdYH7Qvhp4GCPP4F1KDw87jAGpCYGXaTxu8vyO nYNmvP8Axv4g/Znvf2J9G0bwZp+kr8YltLRNPtbSzCeIodaBTznnk2iQAOJC7OdhUcZ+QV7lGjh6 dCnVrQc3NtaO1rW8neTv91u58ricVjK2LrUMPVjSVKMX70b817u71Voq1rrW99VbX9Hvgf8AG7w1 +0B4AtvFnhiS4W1eWS1ubK9j8q6sbmM4kgmTJ2upxxkggggkEGu/r4Z/4JuJdSeOfjncQlW0M3ul Q7ox+7bUFtpPtW3tkKbcMOuetfc1edi6Cw2IqUE78rav6Ox7WXYp47B0cVKPK5xjK3a6uFFFFch6 AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFF FFABRRRQAUUUUAeb/Hj4BeFv2h/BqaB4mS6ge2nF5p+qadN5N5p9yAQs0L84OCQQQVIPIPFfK1v/ AME3PGcmqNHefGuP+y2GyW7svC0MOpyx9NnnGZkUgdHCHntX3jRXZQxmIwycaFRxT3s2jzcVluCx 0oyxVGM3Ha6Tt9/TyOL+EHwh8M/AzwHYeEfCVk9ppVqXkLzSGWe4mdi0k0sh5d2Ykkn2AAAAHaUU Vx7nopW0QUUUUDCiiigAooooAKKKw/HGsar4e8G63qmh6MfEWs2dnLcWmkCcQG8lVSViEhDbSxGA cHk0AblFcb8IPironxr+HWi+MfD8jGw1KHc0EoxNazKdssEq/wAMkbhkYeq+mDXYkgEDPJ6UALRS BgRnIx60bhgHIwelAC0U3ev94fnVC78R6TYXsVnc6nZ293Ljy4JZ1V3z0wpOTmrjCU3aKuZzqQpq 85JLzNGio55DDBJIsbylFLCNMbmwOgyQMn3NcF8Ffjd4d+OvhabV9DF1Y3VlcvY6pouqRCG/0u6Q 4eC4iydjjr1IIIIJqDQ9BooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKK8x+KH7Tfwq+C2oR2Hjbx7onh7UXVXFhc3Ia52t91jEuXCn+8Rjg811PgH4leE/ipoY1nwd4j 0zxNpe8xm60u6SdFcclGKk7W5HynB5oA6WiiigAooooAK/Of9sb9rLxXrHxE1/wV4R17VfCnhTw3 dwaVfXnh2LdrGt6rJtIs7VhlkC741+UBmYkZ21+jFfkn+0F4c1r4F/tQ60QLS11ObxenxC8KTarI VstWL/8AHxaNJ/C6sZVx94BkI4wa9XLacKte00pOz5U9nK2if+XV6dT5/O61WhhFKnJxjzRUpLVx g37zW/32dld9CrpfxB+N/wABfFtiseq/EHw/4kuYZb+y8O/EW+Op6br0ajdLGrmRtkvILbXV1yCR gmv1B+C3xU0343fCrwx450mKS3sdbs1uRbynLwPyskTHuUdWUn/Zr81P2lf2nde+MWteDdW8UeEL fwRpvhiS4nsdGh1NdR1HWb+aMwxxxCNFwuCcAAkkjOAOPvn9jj4W6r8Gv2a/BHhXXUEWuQW8t3fw q24Qz3E8lxJH6fI0xXjj5eM9a6cxpOFKnKtTVOq27pK2mlm10bd10va/rxZLiFVr1qeHrOtQSjyy b5vefNzRUvtJJRe7s3a/RcX468AeNP2dfHWvfEr4W6c/inwrrlx9v8WfD2EBZpJ9oEmoacen2gqo LwniXBwdxGPLbr4sad8Zb658U6Nqp1PTLmZxbscq8CAkCJkPMbqMBlIBBzmvu2vgj48+FtH8J/tr XcmkWC6ade8FDU9RS0/dx3V4t/5YuJUHBfZld2ATnknnPVw7ilh8aoON+fT0/rqebxtgHjcqlVU+ X2XvW6PpZ/oacOrahDo89jHeSpp0kitJbiTCM2Dg7e/f8hntVeW/uZreGCS4lkggz5UTOSseeTtH QfhUPG08HOetJX66oRTvY/mt1ZtJOT2tv0ve3p5CkknJOTSEknrRRVmR9K/CL4zQ+JZrDw7e2skF 8luscdy0vmC4ZE+YtwNpIBPfvz68x8c/gv4i0XxiPjF8Io4YviLawLBq2hzSeVaeKbJP+XeY9FnU D91N1B+VsqePFonnspIZ42kgkB3xSqSp4PVT9R1HpX0p8K/jfH4tvbTRNRtWt9RMICXPmBluHVcs SMDaTgnHI/r+ZZ5kTpN4nCR93eS7efp+Xpt+9cJcWrEJYDMp/vLpQdvivsnZWv2b3v333fgr8aPD vx28EQ+I/D0kseyVrS/028Ty7vTbtOJba4jPKSIeCD1GCMggnva+atJ0m08Of8FDdVTS4F0+PXfh yNS1SK3yiXl1FqSRRzyKOGkWNigcjODjNfStfCH68FFFFABRRXwh8c/i78aPE/7SPjfwh4ci8YQ/ DXwjFp8V8/w3ttOl1iSa5tlnDN9sO7HLqPKHGz5uSMgH3fRX54NqHwvtkaTxvqv7UUTxAMY/En9u RLz8gYC1URjleq4BJ7815P8AtCeC/hH4ybw1L8MPin468MXMd9u1ybXNP8WXj3NqQo/dkwN867Tg fKG3feGKAP1nor88mvv2dYtsHhvxD8eZp7aMPG2gyeKA6AcBFEigDsOgHI5rF8XeKviz4K8O6lrf wfuP2gZW0u1kvbk/FGzsTpYghUtIWN6FufuoT8nzHtkmgD9J6K5f4WeKbrxz8MfCHiS+hit73WNH s9Qnhgz5aSSwpIyrnnALEDPauooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK8u/ag+KV38FP2ffHnjbTkR9T0jS 5JbMSruQXDYSIsO6h3UkegNeo1y/xR+HmmfFn4c+JPBms+YNM12wmsJ3ixvRZFK71zxuUkMPcCgD 8u/2df2cvFHxr8c+LNH0XxXaeG7zQ4LW68ReLNR07+09R1TULtXcAB3UBAEYkluMgAdSIPhhrOvf s4/tO2Rd7O21vT/Ftr4N8Uf2Ohjstas7sxiG4MWeJU86NwOWUhhkg4qLU/h78a/2b/GFwz2vjjQd fjtU01/GHgfSzqmm65aoT5TzRCOQRy9cB1DKScHBr0r9lL9lTxj4++JeheLPFeha94c8I6JrB8R3 F14tzHrXiHV1w0UskTDdHGjfOWfG7aqhcZI+zxOJhKFVurF0Wvch1T+z7v2XHq+uurufmWCwVSFT DpUJRxUZJ1KjWklrze9e0lL7MdeW60jY/S6iiivjD9NCiiigArm/H3w48LfFPw/Jofi/w/p3iTSJ GDmz1K3WZAw6MAw+Vh2IwRXSUUAeSfDP9kv4P/B7XBrXhD4faNpGsKCI9QERmuIgRgiOSQsyDHGF I446V63RRQAV8OftMLcN+2ppvlCQxD4dMZtmcBf7UGN3tnHXvivuOvLPip+zH8OPjR4jstf8W6Jd Xms2dobCG9sdYvdPkEBfeYybaaPcu7n5s812YPEfVMRCva/K72PLzPBf2lgquE5uXnVr72+Wh8vg E8CnSRvDIySKyOpwysMEH0Ir28/sGfBgg40PXwfUeMta4/8AJyvnLVfD/ib4JfEtvh/411afWtPv Y2m8JeKNRfMmp28SjNnPIeDdwoByceagDD5uD+k4DiWli66o1Ycl9ne+vbZH4bm/AmIy7CPE0Kvt XHdKNrLW7+J3t2NyilA3EAdTSmMrGr5XDEgAMCePUdR1r7M/LrMaSTjnp0pwicxtIEYxqQpfHAJ6 DP4H8q5Xx34h1rTU0jRvCNvBf+OfEN8mm6HZzAOvnEFnnkQg5hhRWkckFQAAfvCvojw1+wF8LNP8 Pafa64niTxHrMcCLfatP4s1aF7yfA8yUxx3Sou5snaoAGa+UzTP4ZdVVGMOd9dbW/Bn6Hw/wfVzz DvFTqezjey929+73Wien39jgfgO2qt+2dYnVPNK/8Kzn+yed97yP7VhxjPON27Ht7Yr7Rryr4Xfs vfDb4NeKrrxJ4U0S8tNcubI6dJe32tX2oObcushjH2maQKN6qeAOleq1+WYqv9ZrzrctuZ3sj+hM vwn1DCU8LzOXIkrvd2CiiiuU9AK+dPgb/wAnc/tNf9d/Df8A6bK674+fHyP4TxaXoGgaW3i34l+I S0OgeGLd8NOw+9PO3/LK3j6vIcDAwOenzv8ACy+8cfsj/Fn4k6v8WNH8V+PU8bf2ZqD+MPCmitfW UE0UDJNDJFETLDHGWEceUOURTwTigD7lor56j/4KAfAHdsuviHb6TNg5h1jT7yxkGDgjbNChrYj/ AG2vgHLGrr8XvCIDAEBtViU/iCcj6GgD22vP/wBoX/kgXxL/AOxZ1P8A9JZK4O//AG9P2fdPlaN/ it4fnkGPltJWuCxPQL5atuPsMmvKP2h/2/vhjqPwv1/w34atPFfizVfFFhd6HpY0/wAO3UMU11NC 8aIJLhIg3LAnZuOASAaAOJk+Pv7RPwE/Z4+Hmq3Fl8JLywvdJ06y0DSIrnVZdX1MtBGIokhWMK0u 3BbDBF5ywGK+tP2W/ivq/wAcPgL4T8b6/Y2em6xqsUzXNrYbvIjaO4kiwu4k4xGDyTyTXzB8Bfgz rmj22h+LPiTdrq/jqz0mDSbC1BDW2gWccSoLa3AyPMIUeZKOXbIB29fcP2Af+TRvAP8AuXv/AKXX FAH0JRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVwnxr+DPh348/D 3UPCXiWFza3GJba8tztuLG5XmK4gf+CRDyD35ByCQe7ooDfRn5e6l8RpfgNr974D+Meo2+j+ItM2 /ZdZkRktddtDkR3URAOGOMOn8LA/gsH7TfwruHKr460hSBnLzFR+or9QaK+wo8T4ylSVNxUmurvf 56n5nieAMsxFeVaM5QUnflVrL0unZfkfI/7Evwtvdfnu/jZ4qs2t9Q1q3Nn4X0+dNrafpG7cJSD0 muSBIx6hBGucZFfXFFFfKVas69SVWo7tu7P0TDYenhKMKFFWjFJJeSCiiisjoCiiigD4ntf2bPh5 +0L+2J8f7rx9otzrc+i/2Bbae8erXln5EUmnh3QeRMmQWAbBzzk9zXof/DuX9n7/AKEzUP8AwqdX /wDkurfwN/5O5/aZ/wCu3hv/ANNlfRVAHzS3/BOL9nx1Kt4Kv2U9QfFGrkf+lVR/8O2f2d/+hFvP /Cm1b/5Kr6aooA+Z0/4Jvfs9RHKeCL5D6r4n1Yf+3VeOf8M9+Afgp+2fZ2HhDQ3sLUeBXv0W7v7m +aOd77ymkRriSRkJRQp2kcZ9Tn77r5J+K3/J8Nn/ANk6/wDcmaAOwp37AP8AyaN4B/3L3/0uuKbT v2Af+TRvAP8AuXv/AKXXFAH0JRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFMm lS3ieWV1jjRSzOxwFA6k0AOJCgkkADkk0iOsqK6MHRhlWU5BHqK/IDxr488afttfEPTsaZfeK08Q SXM/hjwOdRNjpmm6bCQpu7xhgO7fKxLBuZAijoBFoeu+O/2I/iHfm20q78H6joMEOraz4Ot9TN7o +vaSzsrz25YYSRdsmGCqVZcEEE17Cyybjbnjz25uTW9rX7WvbW17289D5p55TU7+yl7Lm5Pae7y8 1+Xa/Nbm93m5bX621P2GoqppOqW2uaVZajZyCazvIUuIZB0dHUMp/EEVbrxz6UKKKKACiiigAooo oAKKKKAPnX4G/wDJ3P7TP/Xbw3/6bK+iq+dfgb/ydz+0z/128N/+myvoqgAooooAK+Sfit/yfDZ/ 9k6/9yZr62r5J+K3/J8Nn/2Tr/3JmgDsKd+wD/yaN4B/3L3/ANLrivNfi18WpvBVzpfhnwzpbeKv iPr5MWieHoWwXP8AFcTt/wAs7dOSznHQgdyPoL9mz4UXnwQ+B/hPwTqOoQ6pqOl27i6urdCkTyyS vK4QHnaGkIBPJABIGcUAemUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUN5aQ39 pPa3EYlt50aOSNujKRgg/UGpqKAPxxgXxh+xT8XtJ0+TUNO8P+KvDMd1puk3/iSF00fxNo8rKyjz QRtdcRZCtlXTBDAml1/V/HH7ZvxW1K0tr7SvEfjjxBp8Ph+Q+F4pJNI8NaT5jtLLNMSckl5D8xDM 2FA6Cv168QeGNH8Wae1jrmk2Os2Lcm21C2SeM/VXBFN8O+E9E8H2P2LQdG0/RLPOfs+nWqW8efXa gAr2lmdlz+zXtLcvNrta17bXtpf52vqfLvI7v2ftpewcufksrX5ua3Na/Lza2+V7aEvh/Rbbw1oO m6RZqVs9PtorSFT2RFCqPyArQoorxT6gKKKKACiiigAooooAKKKKAPlP4b/Ebwn4E/a9/aRj8S+K NG8PPcy+HWgXVdQitTKF00biokYbsZGceor2z/hoT4Wf9FL8H/8Ag+tf/jlaPiD4PeAvFmqzaprn gjw5rOpzBRLe6hpNvPM+0BV3O6EnAAAyeABWd/wz38LP+iaeD/8AwQ2v/wAboAP+GhPhZ/0Uvwf/ AOD61/8AjlH/AA0J8LP+il+D/wDwfWv/AMco/wCGe/hZ/wBE08H/APghtf8A43R/wz38LP8Aomng /wD8ENr/APG6AD/hoT4Wf9FL8H/+D61/+OV8b/tC/HG0n/bA0n/hWi2fxK8Tat4IGk6XY6LeR3EH 2o37yFriVGIiiRFLuSRgAdM5H2R/wz38LP8Aomng/wD8ENr/APG62fC/wu8GeB72S88OeEdC0C8l j8qS40vTYbaR0yDtLIoJGQDj2FAHm/7Nn7NkPwZttQ8ReItQXxV8T9fCvrniN0wMdVtbZT/q7dOA FGN2AT2C+30UnSgBaKz7vX7CxVjLcp8oydpzj646VzV38YvCljeLaz6xZwzsFYRSXUSuQwypCls4 IIIr5XE8VZHhJunVxcOZbpPma9VG9vmaezkldq3rp+Z2tFVNP1S21SISW0okXAOO4q3X0GFxWHxt GOIwtRThLZxaafo0S4uLs0FFFFdRIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUVBd30FjHvnkEa9s9T9BXPiMRRwtKVfETUIR1bbSSXm3ohpOTsieiv Otc+PHhLw/qSWF3qltDcsVHlySgFdwBUtjO0EEHLYGDnpXS6B450nxGStpdRO4CnCSK4+ZQy8j1U gj1BBGQa+YocXZJiKsaMMRrJ2TcZRi30SlKKi2+iT16FKN20mm1uk02vludBUdxOtrBJM+diKWOO tSVDe2/2u0mh3bfMUrnGcV9JjJV44apLDK9RRfKu8rafiKNrq+x5V4q/aM8NeHNVk0qS8WHUVAxC 6NkkgFQWOETcCMFmCgHJIHNeUXvx28WeOtWn0TTbV9FvUdTvaI3vmxMAQYymIwxBDKzny2VsmRAA W6z47fBTQX8JfacxWd3Cxdb3AUoGlLyL8zBSGMkhG5lUMcllGSPOG1vUtB+E+lW1lG+hrFey26xw Tl2aLl1Yyg4fdu3b0wrbsqApAr+eKqzDMqkcJmnNOu6kabhUlamnKHtNY0fcklHa923o+tuObxMs T7FTUIW5k4rVq9rXeqfmrenar4w8G634utYJ/GGtW/hRbZvKWC5vRcebDlm8xlUgGUE8lcKwIAWM JhqOp/DHRfHkNhb+FvEtheNpiNbpaxE+a9tueTIDthptzvk5RG3D/VBefnbxh4t1XxZ4uh0XStPk 1vW77XIvD+mafcT+VFPctGJGmkfnEaqWJbBxsIx3qT4s/C74qfAvxLoOk69daPo2t60k9x4c8S+E ZpDCl3bqJGt545kBI24OcbWAIxnIH6jhfD/MFTVKGNjCrNLlgqUY03/KrJOavaytON9GzwMXWy2n Sq1505VIwdpzvdq273Saju7J7bNpn1J8JvizJ4J8SReGNTjHh2OzP2W3t7gtMrbmLIzSAHLsXyW4 iZWBXywgD/TPgj4g23i2e+0+SP7HrOnttubQnOR/DIh7qeD6jIz2J+Mr+8tPjx8J/hz8Tri5j0Cf WbFLe7gKEwJMJJBKkZJ+VhMJgDIyoQPmdMZb0E+Krvw9eeEvGsUUsU0X+g30LzLK0qr0zIoCyb4z uDgbTlWHGK+U4bx1TB5nGM4ckK7lCceka8E+2i5oxlG9o86UJW1Z7eEdSnKeDqO/JZxfeL6fK6/E +uaKhtLqK+tIbmBxJDMiyI46MpGQfyNTV+2HcFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUVDd3SWVu88mdiDJwOaxrVqeHpSrVpcsYptt7JLVt+iGk27ImorzbXPj94R0K+SyuNT torlygCSSgY3gFSxGQoIIOSQMHOcVyF9+1RosWtyaSqyQXIA2PJGBHMTjYEkLbTuDBldtsZHJcAg 18XPjPLH/u8alXp7tOVr/wCKSjD/AMmM51KVN2qVIr5r8ldnvFFfNlv8bfHPiO9mtIPDl1pMkUgA mmjknhmToQkkYRN3KlSWEbAkmRAAWwLL9o3xHpfiaXTfEFnFoM8VycQXDyfvYSQFVZSdm8dnbETg 5LRhfm8ePHEq1TkoYNvydSkp6f3VJpPyclcxli8NBJym0npfllb72l/Wx9ZUVy/hHx3Y+JLC0kea OG4uAPLRnX94cbsKQSG45+UkEfMpKnNdLNMsETyOcIgLE+1feYHNMLmGDWOpStDW99HFx0kpJ7OL TTT2sdbi07Gb4j8RWnhrTZLu7migjUE75nCIo7lieABXzR4gn8XfHe+vLK2ku/Dmi28+2S6cq0d5 AVzuUqRkY+YbSY2V8lhtG+z8VdXn+Mvj8+Bra5nsILNo7m+BjbE0XB2KR0I3IRkbWLE5G1Q8HxV8 VJpMNv8AD/wsnlwxBbe8FqOZH6C3XHUD+L1Y4PQ5/Fp1MXxvmfJTfLRj70b6qENVGbi961RpuHNp TgruLballJKtzU7+4tHZ25n1V91GPW1rvTY5HxPpXw2hnsdM8jUtRi023+xrc2k42kb3csCfvMXk ckjC/wB3jFSXmlx+GW8N+IfDWtjTtLtFWwSSZWKuhkZ2imBOBKXdzuZkiO770OxS/unwr/Z/0rwx YwX2vW0Wp6y4DmOYB4bf/ZC9GYd2Pfp6nrfin4OtPF3gu902ZAkUkXl5VQdgP3SB/sttI+le/n3D dPK8vqY2jOdWMF+8hUfMp018WllyuKXMuWy0s1Z6ZSwdGqrUoKM/staNNba9jn/CXxiinh0j+1ov sttqBECXBcOIZ8ZEbsOGVgcpIOGGD0INep18UeCdUGrWWueAbzTpNKubSzJsLYyearbGaVWL95GM hYuvyOpG1UAAb6J/Z/8AHcnjPwSsN3IZNR0xhbSsxyzpj925+oyPcqTX0fCWNnUo1cuqz55UGkm9 3CSvC7era96DbSb5ObqXRrLE0Y1lu9H5SW/+fzJPj/Zxah8Pb+2muFtYpYyjTNtwoJX+8VX/AL6Z V9WUZI+cNYzB8JdAtDYjTkt72aOKAS+bmP5mVzJ0fcGDb1wrbsqApAr6M/aCtYr74f31tPcLaQzR lGmbGFyyj+Iqv/fTKvqyjJHzlrcb2/wp8OWxsV0+OC7nSKAS+blMllcydH3A7t64Vt2VAUgV8ViV fitu3/MRT17/AOy3tt+uvZ9Kt/tKf/Tt/wDpf9f1t8v/ABc+HXi34XanbeOmbU9O8MX+ow+IdF8Y 6RaG6/sHUogYHiuohk+W/l5BZdjCUqTnpm6r8WviH+1R460VrHWE+KXjHT7ea10PTPDmktaaXpkk yqst5dSsxA+UAEs+AMhQN1fqZ8A/+SSeH/8Adm/9HSV3kFvFax+XDEkKZLbY1CjJOScD1JJr+i6W ZypRg/Zxc4aRk73XbrZ26Np2+SPncRkdOvOovbSjSqO84Ll5ZPrq05JS+0k0n83f54X9nyz+HP7L fh34dC7FwNF05YJb9UUeZOD50soDsoG6TzCNzAfNyw5NeX6PqTav8M9d0GTTV03/AIR2WCa2iWbz d8UjMQ5fo5Idm3rhGDKVVRjP1941sk1Dw5dwSfccbT9D8p/nXx/4BvY7m18V6JLp76XNp2iSJBCs vnJJArtMjl/4nLSlt6/I4kBVUCjd/NvEFsDnOJqR0fPha3refJJbaXjTfVX7Pp7s0o4vDz/mU4+t ldL73f5H0r+z7rza78MNNEjb5bJns2Pspyo/BGUV6RXgP7JeoGTS/EViW4imhmC/7ysD/wCgCvfq /eToCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigDL8RWl5eacUsXEdwGyCTx0PuM84OMjpXj/jnx94k+HN3bjUbm2js57kJHNKzoNp ziLJYqJMDhmKxthtzRbRu90rwT9rDTLfVvDtjbXN/Dp0TXUH72YHn/WDavRQxzwXZE/vOo5r8e4x yWlDFUc3jOfNOcKbjzOMWndXTjyyjJPW6lZ9Ux1q1SGGn7PRxTa/p6F7wt8VfGOs2Rurnw2bSAr5 kLJfwXAnT/YIAyzcFScIQSS6jGb+l/GnVZrx7W/8L6tYSjIV5LUSxO2QAoeNyBkk/M2EAGSwFeCe Nw+maF4Pjt1azVNOARI7gS4Xd8p8xflfjncuAc5AAIFez+GvgdPqPhvSdQtfGWtWUt3aQzsnmb0D MgYgDI45OK8LKciz7H4SONwePcYtztFzrPSM5RV3KpNdOkF6GsZWjHnbbsm9I9VfpGJu2f7RXhf+ 1n0vUbpdN1CNgrw3QaLr0IZhsYHgghiCCCCQRXpWn6ra6pEJLaUSDAOO4FeTah8CLzWrM2OvapZe JrMghWurPyLiH3SRWPP4c+tedxa1qHwN8U6Zo1zcR2WhRr5No05YJMu4k7nOdk4Z+SxWF1Yf6rYM 91PN+JOH8VHD5k/bJ35U+VuaW6p1FGmudLXkqQTl9mW7WFSoqfvVLcn8yurX25k29PNP5an1RRXM eGfHmn+IbsWIlRL1oVuIgrBo7iI9JIm/iHqO3uCCenr9jwWNoZjhqeLw0uaE1dP+tmtmt09GXKLi 7MKTpS1xfxH8bW3hqyitfN/0y8cQQxIu55JG+6ijIGT7kADqVHI8/Os3oZJgpYutr0ir2cpPaKvo r9W9Ert6JjjHmeuiOV+IXx+0nwd4jh0g3ca3DpvAYgAjOANxG1WYnjeVXAJZ1GM934a8Tx3mhwXe pXVvbSy4OHmQAZUHAI4PfkdcV81fHXwXZTeG9AfU7m203U5blVa9uNzu6N5jmNXOFzuckbzHHx1j XAHOfFqPyfEttCq7UjsYEVd4fAC+o6/WvyDhLNcXmebUcRUrzkpqtzJykoNxcLctNu0Yrm91tKTW r1bIUqvtatKoklHltbfW+776a9Ox9tAhgCDkHoRS0yGMRQog6KoXj2p9fvgBVe/s1v7SS3diqvjk dRzmrFFc+Jw9LF0Z4evHmhNOLXdNWa+aGm4tNHzh+0V8IvDkfha1uI/s+kyW0iKlysaoFV5fmTja vLSEjcVUMcsygs1cQuv6h4L+Gvh7+zrSLR52knhT7tw/kiRmVvMIIfdv37lwrbsqApAr2D9p+1g1 HwK9ncXkdhFNJCpml6D98hwMkLk4wNzKv95lGSPCvFFv9g+G3gy1FmLBAbspAJfO+XzflbzOj7gQ 25cK27KgKQB+Axy3CPOY5W6SlQWJ5VGXvLlWGc+VqV9FL3rN2v0dtMIxUMc6kVZ+zvdd+e35HYeF fAnxK+IOmW2qwa2bSxuNxjlkvGjyAxB+WME9QeorovGnwL1G/wDh9PaeItXTVbqBhJa3UUeZYCB8 w3OyhwQMfMV56kcEeofBGPyvhV4dXnmBm593Y/1re8YhD4fuRIQEOASemO9ffcVZPl2GyTEYihh4 QnRi5xcYqLThro0lvbla6ptHYl9YfsqjvGWjv5nyH4O1ptT8JeIvDL2L6VLolsl5YrHP5oEau0vm b/4nbzN3mJ8jBlKqoAz6/o3xkOq/B9rvUrtbfUbV/sc1xJtw7/KI2+YquWLLncyrkEkqOR4x8Prm No/FEMunvpcmk6BNYwxLL5ySQSOZUcyZ+Zyzs29PkcSAqECjdF4hs7RPhloOjXOpxaVNq98987TK SHjTEYUHIUMdyld5RODudMc/C1sRJUcdlsHdV61OFttHTTqrpa8Kbi9Fve12eThK8qWWqu9XBO3T rZdtm7fI6/wnq83gzwFqHiO5sRp+qyZ03TP33nM0Zd5VmMnIdi0s0m9cI21NqgEVs/sxeCf7Z128 8T3qGWKyPl25k53TsMs3PdVP5uD2rg/iMkejaX4Y8P28X2aCysFlaHzhKVkkOWDOMBjxncAAdxIA BxX1D8FtBXw98M9DhC7ZJ4BdSHuWk+fn6AgfhX6PwbRX9nSxrXvV5yl/26nyU1stFTjHouuh3Qp+ xpQpfypffu/xO3qtqMPn2FxHjJaNgPrjirNFfZYqhHFUKmHntNNP0asaRfK00fE02oWlj8erK3le LRrnTLw28ChZDFcwzs7443FZS1wxycIQ3/LPYA/dfAS/Phz4x6xoucQ3QngVf9qNiyn/AL5DfnXE /FaS01T426ZFdXqaZd6dJaLC8qsY54t4fbwPlkDs2CxCEHlk25fb0ef+zf2ibR1O3dqSpn/fXaf/ AEKvxbgbETq4yjOW9TCwb9YOK1XlztLa+5w4RcksTTW0ajt8/wDhke1ftDWcWo/D69tZrhbSKVNr TNjCjen94qufTcyrnqyjJHzprqtbfCzwza/YRp8cNzcLHCJfN+TcSr+Z0fcG3b1wrbsqApAr6I/a MtI9Q+Ht3bTXS2cUqhGmfGFBkj9SFyeg3Mq5I3MoyR88+IIDafCzwpb/AGH+z0inuVSDzfN+TeSr +Z0fcCG3rhW3ZUBSACsv+Msba/5iYL/yzvb+nr2dtOm3+1J/9O3/AOl/1/W3058CgB8J/D2Bj91J /wCjXrva4T4GqV+FHh4EYPkuf/Ij13dfuRZmeJBnRbn/AID/AOhCvjj4f3kUuu+JbGWwk0ubS9Au rWGFH82OS2aQSq7OTy5MjNuX5HWQFQgUbvsXxQ4TRLjJAHy8n/eFfHPga+SZPFscmntps+maJLZw qsolSS3lkaVXL/xOxdm3p8jh1KqgA3fhHGPvZpiYp70sNH1brVbLy77622fTCr/Hwv8Ain+Uf6+R 6L+yZJjXPECc820R/Jj/AI19LV81fslw7tZ8Qy9lt4l/NmP9K+la/dzcKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvBP2r9Ng1b w7Y21zfw6dE11B+9mB5/1g2r0UMc8F2RP7zqOa97rwH9rLToNV8PadbXGoQ6bE93CDLMCd3Evyr0 UMexdkTj5nUc1+f8aR5sHh1a/wC+p6bdWY4j/dq3+FnkXxBiS20XwhBHF5KR6YoVPOWbC5wP3i/K /A+8uAeo4Ir6/wDAyeX4J8PqOQunW4/8hrXyB8RLaO00rwjDFH5UaaVGFTzlmwO37xflf/eXAPUA AivsHwV/yJug/wDXhb/+i1rr4MSWR0bd6n/pyfp+R0PRR9F+SNqvLP2gvh/a+N/Bk0cv7uWMiRJl ClkZecjcyrkruXlgOeSOo9TrI8VQpNoVyrqGU7QQe+SB/WnxlQjVyLE1WtaMXVj5On7/AONmn5Nr qOEI1X7KW0tH89D5D8Na9dSeEJ0tbX+yNX8H3Mc9mUmMztbScgl8kSBvvFlwjKV2gKQK+svAHi6H xz4S0/WIQEadMSxg/wCrkHDr+YOPbFfIfw8vIrjU/EGhTWD6XLZaFcWsFuJPNSWDf5qSFyeXzKzb l+R1kBUIFAf1f9lfxKLfSfEOnXEmIbd47qMd8sCrY/75T868bhXFU8GsfQqTSpU5e0TeijGceaS6 WSmpvZb3scWBnKthaberV4/c9PuVl8j3LxFr9r4c0yW7upooERSd8zhUUDqzE8ADua8q8F6M3jDX bjxn4giFrDZiVLTzJlaOO36mYkZXe+CSykjZtA7k1NTiuPjT4texkjuIdA02eNpFdMRX7bd6rk4P lplGzghywxgAZy/ip4ouvF2s23w48I/vFLhL6dDwzDkqSP4Vxlj6jHbn5TD06vHubvEV4tYKi7JP 7XWzX80tHP8Alp2p7zmeldQWny82uvound67JHI/HrXtP+J2haRdfbo9IsZNSeO2adDiSNBs46Kr nORvKIOdzrjJwvikgl+JH2ZRgILeIAf7q/41u/HfwFpWhWnhDw0uqLYrBOdss8ZPnsQhfBHCuWfI DlU65dcDOP45Tz/jL5Z5DXVovPusda8NRUuJptJaPGfhXpx26Wt5HJH+NXf/AF7/APSWz7Oooor9 zLCiiigDw79qizg1LwjDZ3F9Fp8Us8KmWUdfnPyjooJxwXZV/vMo5rxXxnAtl4I8F2qW32SOOC4K Q+cJsKXXDeYOH3DB3LhTnKgAgV6/+1hY2+qeHLG0udQh02KS6gUyzA/N/rPlHRQx7F2ROPmdRzXn GteFE1bwv4WhhvtM0eG0s9hjv9QVtoYgqd6jD5AB3KArZyAARX8+PGYfA8Q/XcXJQpxxNS8n/wBe HBLZ28tr+dtMoq+Mn/17X/pVz6U+EcXlfDLw0vrZRtx7jP8AWs3416/baP4Nu457xLIzoYllcr8r P8i43FRnLfxMq8csoyRzel/Grwr4D8NaJodzq9lJfQWdvB8kwKMTGu1sjgKwIIZiBggkgV4/42v9 W/aK8TtotulzpFnp86zPLOnmQzRsBhgUyN21t0Y3FZFcncuBu+g4m4mweZYGWEwjbptr2k5RlGCg ndxTklzSnblSjfRvrZNVa6opxptSqPSMU03d97bW31tsZ9iZNF+Ft/LNpn9lvPImk2cYm83fbK7z iTf0cuZZCXXCMCpVVGM5XxU0vTdY1jwlos+o/wBmXUGl2yl5V3RyhyQVXAG2TIBG8hDu5aPblrfx F1Kwe50/QNEw+k6PF9nhZDu8xzje2R97kAZ7kEjg1J8U4bHV/i/pFldXS6bdWItIozMrNHPFu3bB gHbIGZsFiEIPLJty/wA1Xw1bCvCV8VC1St7es4y0taNOEIu1rNU7X21uvXix1JUsvWHVmk4x9dW3 267D/iXbnUvibc2UXG54LdMdsog/ma+07W2js7aKCJdsUSBEX0AGBXx1PEbv482cbchtZt1OfTen 9K+yq/YuGKapZFgaa6Uqf/pCPZrO9WT82FFFRzuIoJHPAVSf0r6KpNUoOctkr/cZJXdj4t+LQ0/x N8bdPsp7wafeWclrCjSKzR3EbOH2DaCVk3SHG7CMDyybfnvLKZPj9Ysoyf7at1/KRAar+JXh8Zft CafaXD/Yb7SLmBYFdGKXMCfvscAlZMsxBPysp6qV/eP8GSDWfjpYTKMrJq5lX6Byw/QV+G8BU28X Qb3jhYX9ZuOjXS3I10va5yYbWeJmutRr7r/5nu/7R9pDf/D26tri6SzhlCo074wuZYvUgZPQbmVc kbmUZYfPXiKA2nwx8JW/2H+zo45boRweb5uU8zKv5nR9wO7euFbdlQFIA+gv2k7KLU/h7dWk90ll DLsVp3xhf30XqQMnoNzKuSNzKMsPn7xLbiy+GPg63Fl/Z6q93sg83zvk807X8zo+4ENuXCtuyoCk AXJX4tckv+YqKv6YL+uqv5202t/tX/cL/wByf1/W31F8E/8Aklfh3/r3P/obV3FcV8F02fC3w4M5 /wBGz+bE12tfuZocn8ULxLPwdfM8wgUxvmQsq7flPOWZVHOPvMB6kda+UtDuWs/hp4hV9M/sxoXg 0m3Cz+aHhDtcBi/R2bz3YuuEYMpVVGM+4/tOananwd/ZM+oxaab947cSy99zhmUdFBKoQC7InPzM o5rxPxNI2k/Czwpo/wBljs0eSa4SGOfzsRh22MZAcOWEhbcuFJPygDAr8Lxr/tLiGUI7Sr0od7qh H20vRKSa31eln0yeuLgv5ISfzk7W+6z/AK09T/ZKsWSy8SXhHyySQQqfdQ5P/oYr6Bryj9mfSm07 4ZRzsu0311LOD3IGIx/6Aa9Xr90NQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAK8A/az0y31fw/plvc6hDpsTXkP72YH5uJRtXoo Y54LsicfM6jmvdNS1ODSbbz7hisecEjtwT/Q187/ALU+paP4l07SdKfWLewlluY5V84HcyqHB2jh QfnGDIyJ1y6jmvy/jHMMHUeHy2NSMq/tacuS/vcurva97W6mOKi1hKsmtOVr/gHm3xFiW30/wlBH H5UUekQqiecs2ByB+8XCvwB8yjB6jg19ieDk8vwjoaZztsYBn/tmtfIHxIsfs+m+E/JgZLWPR4EB EqzqvHA81AFf/eXAPUcGvsHwn/yKujf9eUP/AKAK9rgyUZZFQ5f7/wD6XI6ZK1l5L8ka1YPje/j0 3w5dTysqRqNzMzBQAo3EksQAMDqSB7it3pXz7+0p49sLnT08Kx6vBp89+ArSSZOYtwDgfwgt90eY yJgNl1HNZcZYqEcsll0Xepif3cVfVqWk36Rhdt97Ldoh1Vh4yry2jr8+i+bPJfh5cpv8STTac+mT aJoktlAqyiaN4pXMsbtJnDOzMzb0+R1kBVUCjdc8D7LbwRr0x1OLRTc3NtZvfuSDHGzYYKcYUkEg McAHkkAZBrbt4W+Gmm6LJaQ6feXZ4t4ZvOZbRJHdPMkBIdmd2bcoCnJwoAxXpX7OHga313whq9xq kInsbi6WOKGRFZSUX5mwQc8sB/wE18PTyjFZ1leNrYRJ+2q01FN8qlTouKetrWbU0vds0k7amODp OhhYUpOzcX8nLbaz0Vuz9BIvir4O8MeG5fCmha3baDe7FtoruWKTbGrAFXViApDBtwk3EHduyRTf hX4l8CfCxrqG512zudbudpku5ZBEPKIDIELcbSCG3A4bIPTFafxK+GN3HqdrFoXgPSdd0uK1AMty kCyRt5jkxpkqQOQ3A6sfeuH1LwJqFxFbx6j8JFnjtU8uNbWYrsUuz7V2Z43Ox/E1yYPLuLsow6wu DVTkjsk8LLfV3bjBtt3bk3dvV7s3k6z/AJPumvlu/wCuhX/aD17w7408XeF1TxBaWrQy/aGD/Ohj fytvzqSFZgAy7sIVJJdRjcuu6dps3xNg12XxT4et7QXFrdGGXUFWUxhY2BA6fMoyOcEEHPNcz8Q/ AWh3GseCNNkik8KzTIIDp9x5kg8trgs0atglZN0rEbgFIblk2gNP4q0/wHDqCaNL4dvpDpatZQtB eN08x3PUnJLSOefX2FeDltXG08RCtlcajxDVZy92nJ+9WvPmXOoq01aLi3dLbU4qbxPt675Ybw6y 6R0to3t3SPsvTtQi1S0S4hz5bdM4/pVqvlJfjf4vOrwW2jpJYaYzoiQzWquwzgElivrmvq2v6Gyi eMqZfQnmEbV3GPOu0rarS637HfPlUny7BRRRXrEHzx+1rYW2r6TpNndajBpqNfRESTg/P8ko2r0U N83BdkTj5nUc15n4j8OeCdK0zwzHqmkXk8q6XGYora/WSMIzvIcyKcOS0jHcuFP8IAwK9A/a1sLX V00ezutTi0wNdqQ8ykh/kIKqeFDfNxvZE67nUc15t8T4o7WXw3bRKEih0W2RV81ZdoG4Ab1AVuAP mAAPUV/P2GwqzLOZ4OpKUadStiHLlk4t8j0Ta1STt1V/O2nK6NOpi6rqQUrRhvrv5Crqnhm4jsod P8BrfGyiMEBuZ5Jwq73kwVwQfmdjz646AVqta/ELxjbJYWGh3ljpmNqWtlaG1twD1G44GOehOPav rXw5H5Ph7S48Y2WsS4+iCtGv1TB8KZPgqscRGjz1I7SnKVRq2zXPKVmulrHXFqCtBKK8kl+R4T8I v2eH8O6jBrXiRopryEh7exjO9Y27M7dCR2A4HXJryn4/2FjJ8W9LF3fjTLm3iiaOWYZimjE7/ID0 SQNkguQhDfM0e3L/AGZXy9+1f4CtNU1PSdTmv49MAl8hpJUJV1fkANkKrZDY3lE5O50xz4HGNH9/ gcQ1ePNOm76fHG610t70EvVpdTgzCMp4Oooq7Vn9z/4JhX6Cy/aB01m+4+p2bg+xMfP55r6+r4z8 XzyW1x4Q8TLDJD+6iV1aRZWDwsCDvUBX3DBDKMMMMOCK+yYpUniSSNg8bqGVh0IPQ17vCNX2mRYS EvipxVOX+Kn7kvxiz06klOTmtnr9+o+s3xFcC10a5ckLlduSfXg/pmtKvLvj94lt9J8ITWcuoR6d Jej7Mk0nZ5AVGMkANt3kbmVcgbmUZYLi3FSw2TV4U3+8qr2cf8VT3F91+Z+SbJhJU37SW0dX8tT5 98JasureOtZ1+8sW0658PWlw8Cxv5kU0czSSRsXLHLsZnYMuUdXG0IFG7V/Zt0z+0filaTEbhZ28 1wc/7uz+b1nXe7w78JLS3eyh0+XUX+zQQxzecTaRSvIrtICVkZnkLblwhEgKgDivT/2UPDvlWGta 5InMrraRMR2Ubnx9SyflXj8HYZXxWOj8MpRpx84Uly+W03NbK6V7anHhYOnhoKXxSvJ+sv8AgJHR /tM2MOp/Du6tZ7tLGKVolaeTGFH2iL1IGT0G5lXJG5lGWHgPii0Fh8N/BkAs/sCIbvZCJfO+Uygq 3mdH3Ahty4Vt2VAUgD3r9pu0g1HwBcWdxeR2MU7Qo00uMD9/GcDJAycYG5lXJ+ZlGWHg/ieyeH4f +CbSKwa0wLsR26yeeSvmDa28cPuBDblwrbsqApAr5Nf8lXztafWnr6YL8Leqv5201t/td7f8uv8A 3J/X9bfU3wa/5Jf4c/69R/M12Mkiwxs7kKijJJ7CuF+G2rWuh/DTQI7yTyJYrNfMiYYZeMnI7fjX nfxM/aI0wXMmgaXfw219KiMs8yExANtK4bhWYqwZdzLH3aRRX3uZ8V4LCqVDAyVfEPRQi00n055L SEe92m18Kb0NKjjQj7Su+WPn18l3ZwPxvuofi18UrHwml6+nz2kgdjJGzpKrqrMF2qcOkYUjd8rb myybRu5/4l3K6n4xGm6fHut7BI9OtokH93gr9dxI/AV0mmKPh9oLeINXsks/EphlsNMtDc/aHERl aQyyNyGcvI7M64UjaFVM4qT9nTwPJ4p8arrFyjNY6UROXbkPP/AM+oPzfgPWvk+CssdXESzKT54w Uoxnr+8nKXNWqa9Ob3Yuy2l0ZjRjJKdaorSqNO3aKVor7vTpfU+n/CWhL4Y8MaXpSYP2S2SJiP4m A+Y/icn8a16KK/YzYKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKAK1/p8Gp25huE8yMnOM/wCfWvJviZ8E9K1W1tXsfCtrrbx5jaEz i1kRCS3yOMfxMxwSOWJ7mvYqK+bzHh3K81qe2xVG87W5k3GVlsuaLUtOmpTd48kkmuzSa+5nzJfW N94ds7O1hbxH4OtrO3FuI7myF/ZkAk5LYYn72OGAwAAABW7pPj3XZU2aZrmiXsCTjYgmdJfs+P7h IHmDH+yrbv8Alnt+b36sLW/Avh7xHuOpaLY3kjdZZIF8z/vsc/rXwlbw3wcajrYHESpyfdJ/+TR5 Kn/lQ0VRJWtZeTf5O6XyR43c+LfiVrdlPE+nWeg4YHz57oXSmL+LaFK5kHBAbCNk5KY+bzzUdN0O G/s9f8YXttqmrWCPFb6XZ3P2kSrvLoZmI++GdySAqY2hUAXafbNV/Zm8Gag5a3S+03P8Ntcbl/8A Hw1Z1p+yr4YhmDz6jqlwg/5Z741B+pCZp4XgGpGTWMxnMpK0nGEozlG9+V1J1KslG+6hyt976mM4 U5tOd5W25mrX72SSueC2djrvxf8AGflwR+bd3B5xkRW0Q9fRR+pPcnn7N8K+GrTwh4esdIsVxb2s YQMRy56sx9ySSfrUHhPwTovgixNro1jHaI2PMkHzSSEd2Y8n+meK3a/V6FClhqUaFCKjCKSSWiSW iS9BtuTuwooorcR8s/G21stS+N/hGOW9FndwXSTIsqMyTqJx8gKqSr5UYyNpBOWXaN2B4XH2n9oC 3741l+v+y7f4V3/xI+HN74j+LOja/EPJi0yYPI0z/LIokZsKAMhhwR1Vgx5Xb8/DfD1PtH7QkOOR /ad03Ht5h/pX4PwHUhWzavytNxhK9t05VpuzXR6eWmvmP2c4SqylGylJW80opH1/RRRX7wIKKKwP F/jGy8GWSXmoPHDalgrzSybETLKoyccDLAZPA715uY5jhsqw0sXjJcsE0rpOTvJqKSUU2220rJMq MXLY8A/a1sLPV9Q0SzutUj0wtcMVaZMq42ICAchQ/wAwxvKp13OmOeB+KyLDrWmQoMJFpluiguHw ADj5hw31HBpfj14x0n4o+NLawN//AGWLBsrcTpmK5WQJ/q24A+VUKM5WNwxJdAAW0Tb6D8StW02x /tSXQtfjtktjps8P2jzAiFldZV2o6lPmDDhhgjgivwrAY2llOOhnOOhKFFzxMm+WTcVUm5Q54pOU fdWt0rdTz6FelVxteEJK75Etd2lZpfPbv0ufYdhH5VjboMYWNV49hU9MilWaJJEOVdQwI7g0+v6G TUldHcFcN8YfAsHj3wZe6dKfL3pjzQu4xnIKtjIzhgDjI4zzXc0jAMCCMg8EGvGznLIZxgKmDk+V ys0/5ZJpxl8pJPz2GrbSV09Gu6ejPijwxrVpqNpd/DXW7E+G720fZpazOXXzNzMA7nq77yd4wjhv lVPlDfUHwd1u41PwVa2d+jQ6ppYFlcxP975RhG9wy7TnvzXn/wAcP2d4fH11a6lZXUlldwAReaqe YBFuLEFcjkFmIII64PqOR0DxH8R9Dlj09tINmICIUnkL3huYegzKjj993y+yNs8mHb834zgc9xnD uMq0MTCKc3eVOUlT95JJzpSa5JQkkrr3dddJc0XyUlUw0fY1U5QXwySvp2kls1+PQ+m9S1O30q2e adwqgEgE4Jr5O8ayH9oH4kpo0TXNvYaVKs0su0mG6icLyhA4YjGwnKujFgRgB18XweN/H9jMvii9 j8FaWJ2EkZuUlE8HYEhtzOpAHUK4bOF2/PDqvxF0nwr4Si8MeDEmEKRGF9SnyH2Elm2ZwcsWYliB jcQoHBE1cXmHGuMjHDJKELpOL5oU7q0pynZKVVK6hCPw3fNdNtazg8QuScXGno3dWc7bRS3Ub6tv fojI+I+pL4n8XwaTo0Yms7IJp9lFByrsDglfqeAe4Va+rvDGiw/DjwJYWCIshtIlEpBwHkJy7Z/3 ifwxXlX7PHwgm0x4vFWsw+XMyH7DbSL8yA/8tWHYkdB6HPpXu2o2EepWj28pIRsZ21+wV8DWwGTT wWTe7UhTcad7aSS91u909dW3e71Z1RkpTUp7X1PlH45fE7Tvilcx+FLS8axcTRSPK8BaOdOqrE2Q CW3I6s22NhgmRRycfw0PH02kpoGk2N14TtdOd0RzALgXEO7JCyuMNLnJDApE+7gxBRu9++I3gnUN J8Iw2/gez8vUfPSMJCsaBYsMW6gKoyQfx968yg+BHxG8R4OraxHaxk/NHcXjyEfRUBX9RX5hDg/N MZBxxlOi+aTm3UbrScnpdpRpxTS0XI0rK1jglheas68qsk2re77una92/wDPqcR4q8Da34tt7YeJ PEFp4dFswh+zz6ibkyw5Zt7rkBpgTyRhWBACxhAGW71Lwd4Vk099FsRrV/p0H2azubpWEUK+Y8m8 qx+eQtIxJwo6bQo4r1XSf2TLNNp1PxBPN/eS0gWPH0Zi38q7bQ/2evBOiukjaa+oyr0a+lLj8VGF P4ivpcLwTTtyY7EOcOsIRjSg7dGo3lbyU0n9pMunhsPSn7SMLy7yfM/8vwPm/wAK+CfEvxe19pV8 2VHf/SNRnB8qIenpn0UfoOa+vPBXg+w8C+HbbSNPU+VFlnkb70rn7zt7n9AAO1a9nZ2+n20dvawR 21vGMJFCgRFHoAOBU1fpFKlCjCNKlFRjFWSWiSWyS6I6G23dhRRRWggooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKK8d/a2+M978B/gVr3ibR4YrnxFI8GmaPDN9xr24lWGJmHcIXMhXuEI700nJpLcmUlCLlJ2 SPWrvUbWwaFbm5ht2mbZGJZApdvRc9T7CrFfjj4T/Z08bftH6t4r1fTPDVn8TtT0m4FprPijxprD xNe3vlrI9taLtYJsV0/uKoZRnvXrn7CXxw1rwB8VfDvw/nuNS/4QjxNJe6XDoWsXBml8N6tarI8k Ebtk+U4ikTZkgNtYYyQfXrZa6UZ8tSMpQ+JK91rbqrOz0dm/u1PncNnUa86anRlCFX4JO1paXWib cbpNrmSv5PQ/TKvNvD/wH0Hwz4yg8R2d5qD3UUkknkzyI0ZLqynooP8AET1r0mivHPpAooooAKo6 no1nq6qt3CJlXoCeP88VeorjxeDw2PovD4umqkHa8ZJNOzutHpo1f1KjJxd4ux5F8SfAXiebULP/ AIRCCwjs1hIlFyEJ37ieNwPGDXJL4C+LKFSh0pGUYVlEQK/T5fc/nX0VRXz3+qPD3/QBS/8ABcf8 jT21T+Znivwm8DfEHw14jtTr2pyS6JDC6C3+2mVQcYUBfQfpXtVFFfW7aIxCiiigArmfGPw/03xn BtuJLqxuR927sJjFIPrjhh9QfbFdNRWNWjSrx5asVJeav+Y02tj5/vP2UReXjTP4tnkUnnzrPe5H +95n9K7XwV+z/wCF/B10l20UurXqcrLfbWVD6qgAH4nJHY16XRWkYqCUYqyQgoooqgCiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAK8W/bB+DepfHL4Da34f0F4k8TWstvq2jmfhGu7a VZUQnIxvCtHuzxvz2r2miqjJxakt0TKKnFxkrpn48/DX9p/xl+zzqHi7TPD2ueHPB1xq139t1jwp 8Q7OWG50rUDEiSSw4eMvvVEODlTtBGMkV6T+wn8I9W+KHxh8P+Os3mo+DfDF1f6zceJr+2MK+Ida uhIjNApxlIzLK5ccBgq88mv0k1zwb4f8Tz282saFpurTW5BhkvrSOZoj2KlgcfhWvHGkMaxxqqIo CqqjAAHQAV69bMfaRnyU1GU/iavrrd2Tdld6u3ystD5zDZL7CdL2leU4Uvgi7WWjSu0rysm0rvzd 3qOooorxj6UKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigD//2Q==