20260701 10144600 1.0 FALSE GeonetPlaces 587062.702756 735443.904528 1311542.452100 1478755.582677 1 004 Projected GCS_North_American_1983 Linear Unit: Foot (0.304800) NAD_1983_Oregon_Statewide_Lambert_Feet_Intl <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/3.5.0'><WKT>PROJCS[&quot;NAD_1983_Oregon_Statewide_Lambert_Feet_Intl&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;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1312335.958005249],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-120.5],PARAMETER[&quot;Standard_Parallel_1&quot;,43.0],PARAMETER[&quot;Standard_Parallel_2&quot;,45.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,41.75],UNIT[&quot;Foot&quot;,0.3048],AUTHORITY[&quot;EPSG&quot;,2992]]</WKT><XOrigin>-118489100</XOrigin><YOrigin>-97381100</YOrigin><XYScale>3048</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808398950131233</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2992</WKID><LatestWKID>2992</LatestWKID></ProjectedCoordinateSystem> 20260701 10144700 20260701 10380700 500000 5000 NAP Geonet Places 2020-07-31T00:00:00 GNIS Geonet Geographic Names Information System Places used by search tool in Geonet application. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>A collection of locations selected from the GNIS for Washington County that are used to facilitate the Search tool in the county's Geonet mapping application.</SPAN></P></DIV></DIV></DIV> Washington County, Oregon <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The geographic data layers produced by the Government of Washington County, Oregon (“Washington County”), and any associated maps and applications, are provided as a public resource. While every reasonable effort is made to ensure the accuracy and completeness of the data, Washington County makes no warranties, expressed or implied, including but not limited to any warranties of merchantability and fitness for a particular purpose concerning the accuracy, completeness or suitability of its data, and this data should not be construed or used as a legal description of any parcel of real property. Washington County will not assume any liability for errors, omissions, or inaccuracies in the data. Any determination of topography or contours, or any depiction of physical improvements, property lines or boundaries, parcel size or shape is for general information only and shall not be used for the design, modification, purchase, lease, development or construction of real property or improvements to real property, for flood plain or wetlands determination or as evidence in any legal proceeding. Copyright by Washington County. Except as provided herein, all rights are reserved. Authorization to reproduce material for internal or personal use by any user of this information is granted by Washington County, the copyright owner. Please email GISAppSupport@washingtoncountyor.gov to report any errors or issues or to get more information about Washington County’s geospatial data, maps or applications.</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 13.5.5.57366 1 -123.342379 -122.743295 45.784840 45.313908 Enterprise Geodatabase Feature Class dataset EPSG 8.5(9.0.0) 146 Simple FALSE 146 TRUE FALSE GeonetPlaces Feature Class 146 OBJECTID OID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. FEATURE_ID FEATURE_ID Double 8 38 8 FEATURE_NAME FEATURE_NAME String 255 0 0 FEATURE_CLASS FEATURE_CLASS String 255 0 0 STATE_ALPHA STATE_ALPHA String 255 0 0 STATE_NUMERIC STATE_NUMERIC Double 8 38 8 COUNTY_NAME COUNTY_NAME String 255 0 0 COUNTY_NUMERIC COUNTY_NUMERIC Double 8 38 8 PRIMARY_LAT_DMS PRIMARY_LAT_DMS String 255 0 0 PRIM_LONG_DMS PRIM_LONG_DMS String 255 0 0 PRIM_LAT_DEC PRIM_LAT_DEC Double 8 38 8 PRIM_LONG_DEC PRIM_LONG_DEC Double 8 38 8 ELEV_IN_M ELEV_IN_M Double 8 38 8 ELEV_IN_FT ELEV_IN_FT Double 8 38 8 MAP_NAME MAP_NAME String 255 0 0 DATE_CREATED DATE_CREATED Date 8 0 0 DATE_EDITED DATE_EDITED String 255 0 0 map_elevation map_elevation SmallInteger 2 5 0 Elevation_Source Elevation_Source String 12 0 0 Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. 20260701 EA3F21B9-75EB-4D76-B91F-5E07C38C2C4E Department of Information Technology Services Washington County, Oregon GIS Coordinator 155 1st Avenue Hillsboro OR 97124 GISAppSupport@washingtoncountyor.gov US /9j/4AAQSkZJRgABAQEAMQAxAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAGQAlgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigDP8RXH2Pw/qc+3f5VrK+3OM4QnFcJ+zJo1z4d /Zu+FOl3sAtr2y8KaVb3EIKtslW0iDjKkg/MDyCQa6z4gXn9n+A/El1s8zyNMuZdmcbtsTHGfwqt 8Lf+SZeEf+wPZ/8AolKAOoooooAKKKKACivLPjf+0Z4W+AkeljX4tQvLnUWfybbToldwiY3OxdlA A3AdcknpgEj0Lw5r9l4r8P6ZrWmyGbT9Rto7u3kKlS0bqGUkHkHBHB6VhGvSnUlRjJOUd11Vzsng 8RSoQxM4NQnez6O25o0UUVucYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUyW JJ0KSIsiHqrDIP4U+igDLm8L6NcSGSXSLGWQ9Xe2Qk/jiqFx8NvCN3M0s/hbRZpW+88mnQsx7ckr XR1x/wAX9J8Sa98NPEGn+EL0af4juLYx2dzvMZRiRu2uCCjFdwDZ+UkHtUTk4Rckr26dzajBVaka cpKKbSu9lfq/JHLf8MlfBJbmG5h+EnguzuYXWSKez0G2t5I3U7lZWRAQQQDkc1hfDbw3p/gz9qDx 5omhmey0ZfCWiXx0xbmR7dbmW91VZJQjMQrFIYhxjhR7Ve/ZK0nx1pXwlh/4T6+nvtQublrmyN3d C5mS0ZEKB5MnOTvYAkkBgOPujlb34teAvhj+138QG8ZeNNB8JyXnhHw9HaDW9ThsxPtutXaTaZGX JXdHnHTePUVnQqutSjUcXG62e6NsZh1hMROhGamou11s/Q+kqK4HQP2gfhd4r8/+xPiT4Q1j7Pt8 7+z9dtZ/L3Z27tkhxnacZ64PpXSad418O6v/AMeOvaZe8lf9HvI5OQMkcMe3NbnGbVFRw3EVypaK RJVBxlGBGfwqSgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACivKtS/aq+EOjWBvtQ+IehWFkLmSz+1XV0I4jMjOjxh2wCwaNxgH+E+lV4v2vvg ZNIEX4xeBQT/AHvEVoo/MyYoA9dorgdA/aB+F3ivz/7E+JPhDWPs+3zv7P121n8vdnbu2SHGdpxn rg+ldDaePPDN/GZLbxFpNxGDtLRX0TAH0yG9xQBu0VXi1C1nkCR3MMjnoqyAk/hVigAooooAKKKK AOS+L15Bp3wn8a3V1PHbWsGiXsss8zhEjRYHLMzHgAAEknpWp4MjSHwfoUcaKkaWECqqjAAEa4AF cH+1j/yax8ZP+xM1n/0hmr0Pw1btaeHNKgcgvFaRISvTIQCgDSooooAKKKKAPPvjH8O/DXj3SNLP iDRrXVms9SsxA1wmTGJLqFZFB67WXAZehwMg4rvbe3itII4II0hhiUJHHGoVUUDAAA4AA7UT28Vy gSaNJUDK4V1DAMpDKee4IBB7EA1JWapxjNzS1f6HRKvOdKNGUm1Fuyvor22XTYKKKK0OcKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDM8M6Y+i+G9J0+Vg0lpaRQMw6 EqgUn9KuTWVvcsGlgilYDGXQE4/Gp6KSVlYqUnJuT6mXN4X0a4kMkukWMsh6u9shJ/HFc1rvwJ+G vii0S11n4e+FdWtUcSrBfaJbTIrgEBgrIQDgkZ9z613NFMk8euf2OfgVdK4f4PeCFDnJ8vQbZD1z xtQY/Ct1P2ffAMV09xDoTWszjaWtr64h444wkgHYV6JRQB89+I/g74b+D2r+B9T8NXXiqC7m8R2l htvfGOr3tv5Uu8SK0FxcyROCuRyvBORggV9CV5T8b9VubLxT8HLK3WIpqfjNbecyg5WNNL1C4yuD w26BRzkYJ+o9WoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKa7rGpZiFVRkknAAoA8x/Zju7LUvgJ4Lv8ATZmuLC+svtsErKVLpK7SA4IBH3+hGR3r0may t7lg0sEUrAYy6AnH415J+xvCkH7J3wfVBtU+FNNbGe5tkJ/UmvYqAMm68JaHfeZ9p0bT7jzBtfzb VG3DGMHI544rC1b4K/D3XtPlsNT8B+GdRsZceZbXej28sT4IYZVkIOCAfqBXZ0UAeSz/ALIvwNuN u74OeAxjps8N2afyjGataV+zD8KdAs57TSfAejaPazu0kkOm2/2ZC5ABbEZUA4AGRzwPQV6hRQB5 qf2dPAIsLiyi0q8tLedWVxaaxewN8wwSrJMGVsdGBBGBgjFYg/ZL8Ax2/kwXnji2UdPK+IGvDbzn gfbcfpXstFAHji/sreFI4DFF4l+I8C4IHl/ETXBtz3A+14rZi+B8FrBZw2vjfxvbpaqqKW1+WdnA AA3tMHLnjksSTk5zXpVFAHhXjP8AZg1Pxv4c8QaBf/Gr4iNomuW89nd6e39kPGbeZSkkQY6f5gXY xUHfuHXOea9xt4VtoI4lJKxqEBPXAGKkooAKKKKACiiigAooooAKKKKACiiigAoory/40/tE+FPg S2jx+IRezTao7CKKxhEhRFIDyPlhhRuHAyT2B5xjVrU6EHUqytFdWdOGw1bGVVQw8HKT2S37nqFf NXx4+IXxi8O/HDwjpHgrSTd+HbmNXaMwKYr1wWMySTEExBUGRjB5zhuBX0ZpmpWus6baahY3Ed1Z XcSTwTxHKSRsAysp7gggj61xHxH+JnhTwD4i8Mx+I/EFjo8lxNJ5aXUmCQY2XccfdXPG5sLnjOcC ufFxVSl/EcFdO6duvfzPQyubo4l/uFVdpLlab1s9bLW6/qz1PQKKKK7jxgooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiisrxR4p0jwXodzrGuahBpemW+PNurhtqLkhR+JJAA96Taim27I qMZTkoQV29katFZXhjxVo/jTRYNX0LUrfVdNnz5dzayB0JBwR7EHgg8jvWrQmpK6d0EoyhJxmrNd Dxz44xtP8UvgDFvKr/wmN1IR2JXQdVI4/MfjXsdeWfFLQ21j4t/Bi4FyYU0vWdQvjFt3CYnSruAL 1GMeeWzz93GOcj1OmSFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFUtbmS30W/lkO2NLeRmOM4AUk1drP8RWE2q+H9TsrZ447i5tZYYnlBKKzIQCwHOMnnFAHm /wCyVEsP7K3wcVBgHwbo7fibKIn9TXrFeL/DfWfi7oXhjT9I1v4a6Db/ANnWdvaQzaf4tNx5+xNr Mwezj2fdBABbqemObmq/GjxP4Vk0I+Ifhlqlta6rrNpo/wBo03UbW8Fs1xII0mkUOreWrMN5UMVX LYIBwAeuUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFedfGD4V+FfiMmg y+ItGt9SlstRgMEkmQwVpF3IcH5kYDBU5B9M4Nei0jKGGGAIyDzWdSnGrFwmrp9zooV6mGqKrSk4 yXVOz+8+ZP2f/wBofxj45+Lninwhr3he00LRdGilZVihaFtOWNwkcUp3MhyvpgfKSvy8DS+MHwR8 B/tG+K/BfieLXF1KAXJ0u4m0i7SaC5gjjnn8rcpIVg4I3A5w5HXaR6p4q8Er480Pxt4fu5rmwtdY iFt9qhGGAaFVJXswB4I6HkGvP/2XPgDH8IPCU6XOrtrFzNqT3kZWIwxwsiPb8LuOSVLEk+oGPlyf F+rVZcuFxC9rB3bk7K1norf18lofW/XsNT58wwcvYVUoxUI3ad4+8+Z7a6/Lq9T3KCFLaGOGJQkc ahFUdAAMAUNPGkqRNIqyOCVQsMsB1wO+Mj86kr5l+Ln7OviLxr+0l4T8X2Xin7LpcLRzvbSO4ltR AV3pAFGMScZJIOWbqMCvTxNWpRgpUoczula9tH1+R85gMNRxVWUMRV9mlFu7Td2le2nf+tT6aooo rrPNCiiigAooooAKKK5P4q6d4k1f4d67Z+EL1dO8SS25FlcN/C+QSMkjaSMgN2JBwcYMTlyxckr2 6GtKCqVIwclG7Su9l5vyR1lFeLfslaV480r4TxDx9ezX19cXLXNk11d/aZ0tWRCgd8nPO5gMkgMB xjA9prOhVdalGo4uN1s90b4zDrCYidCM1NRdrrZ+gUUUVucYUUUUAFFFFABXE/GT4ZaV8XPh9qXh zWHuIbWXbOs9qyiWN4zuUqWBHYg5HRj0PI7amyRrLGyOMqwKkeoNZ1IRqwcJq6ejNqFaeHqxrU3a UWmn2aOE+Bvw3034V/DLR9C0ue5ubcJ9paW7cM7SSfO3QAAZOAAOnXJyT3tQ2lrHZWkNvECIoUWN ATk4AwKmop040oKnBWSVh4itPEVZ1qjvKTbb9TzTx35zfGf4XKm8xD+1JJAudoxbKAx/76xn/a96 9LrybxrrNzF+0t8LdHjiRrS50PxBeyvtJdWifTkTBzgKftDZyOu3kd/Wa0MAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK87+MiTzN4FghdUEnimxMm7 uiCSQjp/sCvRK8++Mnw81zx/p3h6Xw34ih8Oa5oOrpq1tNeWb3dpOwhmhMU8KSxM6YnLgBxh44zz jBAPQaK8al0D9oOOJRD45+Gs0gwCZfBuoJkeuRqp5/CtTwN4j+INl48tvC/jSTwzqfm6RPqLaloN tcWeJFuI40QQSyS/KVkYlvMyCgwCG+UA9RooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKqaXpyaVZi2jZnQO7gt1+Zy39at0UDu7WCsHxTqOleG1i8Q61qttpGm6fHIss95Is cY3lQMsSADkAAdyQBW9XnP7QHwxs/i38LdX0K8u5bHav2uG4iUMUkjBZcqfvDqCMjr1FY1nONOTp q8ktF59DqwkaU8RCNaXLBtJtK7Sej09Dt9C1/TPE+lQano+oWuqadcAmK7s5llikwSpwykg4IIPo QR2q/XA/Az4X2nwf+GmleG7S8l1ARBppbqYbTJI53MQuSFXnAGT05JOSe+p0nOVOLqK0rK67PqTi Y0oV5xoS5oJuzejavo7BRRRWpzBRRRQAUUUUAZnhnTH0Xw3pOnysGktLSKBmHQlUCk/pWnRRSSsr FSk5NyfUKKKKZIUUUUAFFZfifxJYeD/Dupa5qkxg07T7d7m4kCliqKMnAHJPHSuN+Cvx38M/HfRb 3UPDxuYHsphFc2V8qpPFnJRiFZhtYA4IPVWHasXWpxqKk5LmeqXXQ6o4WvOhLExg3CLSb6Jvb+v8 z0aiiitjlCiiigDxzxbMrftbfDGLB3L4Q8SuT2wbrRgP/QTXsdePa9bPc/tdeCZRbSvDaeCNd33A Q+WjyX2khFLdNxEcmAeoU46HHsNABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFeX213ZXP7Tmo2qzMdRsvB9rLJDtOFimvbgK2cYOWt3GAeMHI 5FeoV5j46+CD+K/G0vi3RvHXifwNrk+mw6VdS6D9heO6ghlmlhEiXVtOAUa5mwU2khyDnAwAenUV 4z/wo/x7DAyQftA+OVcnIabS9BkA/PTs/rXSfBvXNb1i28WQa3rEeuPpmvT6dbXS2Ytn8qOOLKyB TtZhI0nzAKMFRg43MAehUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB88eKP2tF8OftF2fwyTwzcXcE lxb2c1+kn7xJZlVg6xgHdGquhJyDgMccDP0PXLX2lWTfEzRr82dub4aXeoLoxL5oXzbXjdjOOTx7 11NclCFaMp+1nzJvTS1l28/U9TG1MNUhR+r0uRqK5tW+aV2m/K/YKKKK6zyworJ8W63J4Z8K6xq8 VlNqMthZzXS2luMyTFELBFHcnGAPevmz9i/44fEL4x6t4rk8UeVfaLBtkgvEgWEW8zHi3QKoDrsy eSWXC5J35riq4unSr08PK/NO9vl3PWw+WV8Tg62Ng0oUrXu9Xd20/peVz6pooortPJCoL60S/sri 1kLLHPG0bFeoBGDj86nooGnZ3QyGIQQxxqSVRQoz14p9FFAgooooAKKKKACiiigAooooAKKKKACi iigClrWi2PiPSLzS9TtY73T7yJoJ7eUZWRGGCDXD/A74X+G/hd4TmtfDmn/YY7u6llnZpXkeRldk XJYk4CqAAOOp6kk+i1HDBHbxhIo1iQEnaigDJOTwPck1k6UJTVRpXXXrqdMcRVhRlQjJqMmm1fR2 vuiSiiitTmCiiigDzIyOf2lljLsY18IlgueATeDJx74H5CvTa8wsddguP2mtb0ZUkF1aeELC7kcg bCk17eIoBznIMD547ryecen0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFeUfs46vda74Y8W3t3HHG//AAmniG2jEQIBjg1O4t0PJPJE Qz75wAMCvV68k1X9lrwDqmpalfxjxPpE+o3Ut9cJovi/V9PgM8rl5ZFggukiVndmZiqDLMxPJJoA 9boryuw/Z30nR0uF07xh4/tjOFDNceMNQviu0nlftMsu3OSDjGeM9BUGp/A3xHc3M8th8bPiBpUc hBW2iXSJoo8AA4M1g784J5c8k4wOKAPW6K+Zvjl4X+Jvwl+EXjHxxpfxz8Uajd+G9IutWSw1TRdE e3umgjMgik8qxjcK23aSrBsHgg19LRb/ACk83b5m0btnTPfHtQA+iiigAooooAKKKKACiiigAooo oAKKKKACua8C6Vc6Xa6x9qjMRuNWvLiNT1KNKdp/EDP0IrpaKlq7uaKbUXHv+gUUUVRmFFFFABRR RQAUUUUAFFFFABRRRQAUUVjeNLTVtQ8H65a6BdR2WuTWM8dhcy/dinMZEbHg8BsHofoelTJ8qbtc uEeeSi3a/V9DZor5+/ZB8E/EPwh4d8QP4612XU1ub1o7S1uLprqSB4nkjmfzCTw7KMLk/dzwSa+g aww1WVelGpKDi30e6OzH4aGDxM6EKiqKP2ls/wDhtgooorpOAKKKyfFul3uueFdY07Tb86XqF3Zz QW16q7jbyMhCyY74JBx7Um7JtK5UEpSSbsu/Y1qK+ef2QvhB4t+FumeJpfE/iKPVxqF6yRW0E8sy RSRSypNLukC/NI5JOByFUk54H0NXPhqs69KNSpDlb6Pod2Pw1PCYmdCjUVSMftJWT07eT0Ciiiuk 888b8NT+b+198Ql248rwT4dTOev+m6yf617JXjfgu4Wb9rP4rooIMXhXwwjZ7n7RrLcfgwr2SgAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKAPLf2oLW01H4BeM7C/t/tVjf2Ysp4d5TfHNIkbDI5HDnpg+4616R/atl/wA/lv8A 9/V/xqLXtB03xTot7pGs2FtqulX0TQXVleRLLDPGwwyOjAhgR2NeX/8ADHnwL/6I94H/APCftf8A 4igD1eLULWeQJHcwyOeirICT+FWK8g/4Y8+Bf/RHvA//AIT9r/8AEVbsP2WvhPpFnJaaX4E0nRrW SYztDpUZs0aQjBYiIqOgA/AegoA9UorxL4AWUmj/ABK+OOjwz3b6LpviSxgsLe5u5LhbcNounyyK nmMxUF5WYjpljXttABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXin7W2kePdW+FR/4QC/uLK/g uklvEs7j7PPLbBWyEkyCMNsJUEFgCOfuthXqujSlUUXKy2W7OzB4dYvEQoSmoKTtd7L1Pa6K5X4W 6X4j0X4faJZeLr6LUvEcMG28uoGZlkfcSOW5JwQCeASDgAYA6qtIScoqTVr9DCrBU6koKSaTautn 5ryYVneIvEOn+E9Bv9Z1a5FpplhC1xcTlWbZGoyThQSeOwBJ7Vo1leKfDOn+MvDmpaFqsTT6dqED W9xGrlCyMMHBHIpz5uV8m/QVPk54+1vy3V7b2628zitP/aK8Bar8N9Q8c2mtCbw/p7iK6k8pllic lQFMbANk7lwAOc8ZrZ+FPxV0L4yeEIfEXh6SU2byNC8VwqrNDIuCUdVJAOCD16EEcEVwfwf/AGe/ Bei/Bm88LPYSalpmtu8moG9k3STsHwh3KF27dilduMEZ65Ndj8EPA2heAfhnolloGnR6dbXNvFez qjMxkmkjUu7MxJJOAOvAAAwABXnUJYyUoOtypOOtr35vLyse7jKeWU6daOG53JTtFu1uS3Xre6fy tsd5RRRXpnzwUUUUAfMf7SGnfGTRbrwzafDK4nNtcXd5JcNamCPM0twZo1cyt0Clh2HDZ6gV9MQC QQx+cVMu0bygIUtjnAPaqGsWMt7PpZiUFYLsSyEnGFCOP5kD8a065KVD2dWdTmb5raN6Ky6Lpfqe picZ9Yw9Gi4RThzapWlK7v7z626dgooorrPLCiiigDP0LSzo9lJA0glL3VxcbgMY82Z5Mfhvx+Fa FFFJKysipScm5PqFFFFMk8a17xN4l+H3xV8S3tp8M/FPjHTdVs7Hyb3QJtNEaNEJg6OLm8hcH5lP CkYPWrul/HXVLtLtr/4RfEHRBblQPtVpYTmbJIOwW13LnGBnOOoxnnHrFFAHP+AfG+m/EjwdpXib SBcrp2pQ+dEl5A0EyckFXjblWBBBB6EV0FeUfspa2nib9nH4e6ylqtkup6RDffZ1bd5ZlBkIzgZ5 Y84Geter0AFFFFABRRRQAUV82fAv4TfEXwn8dfGWveI/Eo1HQpvPiS1+3SylzJIssR8tkCqFUsOM YLEDgmvpOuXD1pVoOU4OLu1Z/mejjsLTwlVU6dVVFZO621W3yCiiiuo84KKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDwr4K+JtAsPiH8apLvxHp Md9qHjIlbJ75BPGsOl2Fvh0bBBzC7AcjaVINe0Q63p1xGJIr+1ljPR0mUg/jms/U/AfhrW7trrUf DulX90wwZrqxikc/VmUmuEl/ZK+B8yFG+DngEA/3fDNkp/MRZoA9WR1kUMpDKwyCDkEU6vJbH9kn 4LaVqEF/p/wt8KaZfQbvKubDSobeVNw2nDRqDyCR9CfWua+NXwZ8KeE/hzqWsaFYanpmqWdxDcWp 0rWr22/fNKkYykcoV1w/MbAq2ACOBgA9/ooooAKKKKACiiigAorx79qmHx7J8Kbl/h9cNa6lDL5l 3JDP5M4tQjhzExIAYZBzkEAEjkCut+DMHiu2+GHh6LxuUPilLfF6Vfec7m2bmBIL7Nm7Bxu3Y4xX Kq967ocj0V7209L9z0ZYNRwccX7SOsnHlv7ysr3t2O0oqO4uIrSCSeeRIYYlLySSMFVFAySSeAAO 9Yvg/wAeeHfiBp8t94b1mz1q1ikMMktnKHCOOx9PXnqCCOK6HKKai3qziVObi5pOy3fRXN6qOuac dX0i6s1cRtNGVDkZAq9RVPUhNxaaCisXxr4pg8EeD9a8Q3ME1zb6XZy3kkNuMu6xqWIH4DqeB1Ne Z/s0/tEj9oTR9aum0JtCn0yeOJkE5nSQOpIIcooyNpBXnHB7iuaWJpQrRoSl70rtL0O6ngcRVw08 ZCN6cGk3po3t5/cezUUUV0nAV7Cwt9MtI7W1jEMEYwqAk45z3r5j/af+DnjHxj8SfhvJ4X8TRaDp ZnGn21tlo0sriOKefzlRBhswxOgBxggLkK5I+pKwvEXho67q/he9FwIRouovflCm7zt1pcW+3Ofl /wCPjdnn7uO+Rw4zDRxNL2Tva62dtmj18sx88vxP1iLV7S3V9XF20fn/AFa55x+1L8TPFvwn+GQ1 fwjpbalem4WK4umgMyWcIRmaZ1XoPlA3H5Ru57A9j8HPFOu+NfhloGt+JtJ/sTXLyAvc2W1k2kOy qwVuVDKFfaeRuxzitvxjZTal4Q1y0tozLcXFjPFFGDgszRsAOfUmtirjSqLESqub5bJcvS/cieIo vAwoKklNSbc+rVtvT/L1uUUUV1nlkDX9sl6lm1xELt0MiwFx5jKDgsF64z3qevmXxV+zRqOs/tXa N47HiuWO0JGp/ZRGwliFt5CfZ1YNgxybzngYBYYbOa+mq5KFWrUc1Uhy2dlre67+XoeljMPh6EaU qFXncopvRrlfWOu9u4V84ad8X/ihdftWTeD38OungdHdDcNYyALCICyz+fjHzSLgZ4OdvXmvo+sp LSUeKJrnYfINnHGH7Fg7kj8iKdelOryck3GzTduq7PyYYLEUsOqvtKSnzRaV/st/aXmjVor5t/aj /ao1P4KeJNA0Dw3pdjrGqXY8+7ju97lYywVERUYEOxzhjkcdG5x9GWksk9pDLLEYJXRWeInJQkcr n26UUsVSrVZ0YPWFr/MMRl+IwuHo4qqrRq35dddNHp0JqKKK6jzQooooA53T/iJ4Y1XxXe+GbPXr C51+yXfcadHOpmjHfK+2RkdsjOM10VfP3gP9mHw54O/aK1vxpb31/c3Kw/2hb21w4Kwz3b3KyncA CyhQQobJG4kljgj6Brkw0604t14qLu7Wd9Oh6ePpYWjUjHCTck4pttW95rVLy/rzPnH4C6N8aPg7 8L/BXgbUPAXhPU7LQdNh02TU7DxhN5svlx4EggfT1UZIGR5nAPU4weo8efHPxX8MPBfiHxX4h+F9 +2jaHbPe3T6VrFnPJ9njBMsirI0edqAttzkgEAZwD7NXlv7UejP4k/Z1+ImjJc/Y21PRbiw+0bN/ liVDGW25GcBjxkfUV1nmHqCMWUEqVJGdp6j24p1FFABRRRQBQsNOe11HUrlmUrdSIyqOoCxqvP4g /pV+iilsNty1YUUUUxBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFV9Qv7fSrC5vbuVYLW2iaaaVuiIoJZj9ACasVyXxevINO+E/jW6up47a1g0 S9llnmcIkaLA5ZmY8AAAkk9KAMO0/aM+HV7IUj8SxKwG7MttPGPzZAPwryP9oD9qH4c+JvBX/CM+ EfiJ4e1Dxdc+JNC09dIt7+Frt92sWiTxiJjnIj83dxlQCeMZr6K8EW8dp4L0CCJdkUWn26Iuc4Aj UAc1t0AFFFFABRRRQAUUUUAcz8T55rX4aeLZra1kvbiPSLt47aIEvMwhchFwCck8DAPWvN/2Y/2j pP2g9M1yW40B9EuNLliQskplhmDhiNrFRhhtOV9Cp78d58RPjB4P+FC6cfFWtw6SdQl8q2V0d2cj G44UEhRkZY4AyOeRVz4e6dbab4fmS0tYrWGXUb6dVhjCK4e6lYOMddwIOe4IrglzTxK9nU0ivejo /TzX6ntw9nTy6XtqD5pNck7tJW+Ky2lsl5F3xn4WtfHHhLWfD19JLFaapaS2cskDbZEV1KkqemRn PII9QRxXlX7L3wF0v4KaLrsllqFzqN3qN7LBNNMAg2W880cYCg46ZJPqT0HFe3VT0vTItJtnghZ2 R55rglyCd0kjSMOB0y5x7Y61rLD0p1o15R96KaT7XOWnjq9LCVMHCbUJtNro7f0i5RRRXUecIyh1 KsAykYIPQ1zHw50yz0nw9cW9jaQWUA1PUD5VvGI1z9sm5wBiuooqeVcykaKbUHDu0/uv/mFFFFUZ hRRRQAUUUUAFFFFAFKXTI5dYtdRLsJbeCW3VB90iRo2JPuPKH5mrtFFKw227J9AooopiPC/ip8Bv Dfi342+B/Ft1aXU2oRzYuEic+S6wjfE8gAz8rFRkEA8A5r3SoJLOGW6huXTM0IZUbJ4DYzx+Aqes KdGFKU5QVnJ3Z24jF1cTTpU6km1BWV+iu3oFFFFbnEFFFFAFG407ZNe3toFTUZ7dYA8hO35C5TI9 AZGz9a+dv2TtH+MWl+J/GP8AwsbULm80sSeXEL66FwTdbskwEMdkWw/d2hTuXGNrCvpeqGl6c9hJ fs7q32m5acAdgVUY/wDHf1rjq4dVKtOrzNct9E9Hfv3PUw+OlRw1bD8kX7Tl1au1Z/ZfTzL9cp8V PBEvxH+H+s+HIL9NLuL6JRDeSW5nSGRXV0Zow6F13KMqGUkZwR1rq6K7DyzxlvDf7QNusnlfED4d XbZ+QXHgu+QYz/s6pxx9an0/xR8T/C/i/wADaH4qXwxr8Ou3N1b3t9oVtPY/ZFjtpp0lEc00u4Fo 44ioYnMm7gAivX6858cfaJPjD8M44+YF/tOeUccYt1RT69ZMcevtQB6NRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB47f/Enx94h8 beO9C8DaT4V1AeF57Ozc65qV1aM9xNbxXDoxjt5AFWKaNgy7txYqQu0mkk8S/H2Fk/4t58PLhSfm EXje9BA+raV/jR8ECs3xW+P86xlc+L7SLeV67NB0oEZ9if1969joA8jsfGfxq/tOGLUPhb4VjsGB MlxYeN5Z5E4OAI306MHnGfmGAc84xWJ8Xv8AhZHxP+FPjzwVF8PI9Pn8QaFf6Rb3767A8Mck8DxK 7jaG2AvuOAWwPuk17vRQBT0ay/s7R7G05HkQRxfMQT8qgc4+lXKKKACiiigAooooAKKKKAPHP2gv gJ4a+Mc/hm71w3SS6fexwj7NLtEsMki+ZG3pnA5GCPWvV9H0m00DSLHTLCFbexsoEtoIV6JGihVU fQACpri1iuxGJkDiNxIoPZhyD+FTVhChThUlVjFKUrXfV2O2pjK1WhTw05twhey6K/YKKKK3OIKK KKACiiigAooooAKKKy/FPiG18I+GtW1y+3/YtNtJbyfy1LNsjQs2APYGk2oq72KjGU5KMVds1KK8 i/Z6/aL0r9oKx1yaw02fSbjSp1SS3nk8wtE+/wAqTcAACwRsqM4IPJGCfXaxo16eIpqrSd4vZnTi 8JXwNaWHxMeWcd1+P5BRRRW5yBRRRQAUUUUAcd4d+MHg3xZ4x1XwrpOv217r+lki6skDBlIOG2sQ FfaeG2E7TwcV2NeC/Dj4JeA/hp8dvEGt6fqr2uu6gki2+j3F3FgpJskleKMr5hAbAyCQASO4x71X Jhp1pwft0k03t26fgenmFLC0qkVhHJxcU/eVndrX5X2/NhRRRXWeYFFFFABVbUtTs9GsLi+1C7gs bK3QyTXNzII441HVmZiAB7mrNcf8W/htZ/F34fat4Tv7u4sba/Eebi2xvRkkWRTg8EbkGQe2ehwR nUc1CTgru2i7s3oRpyqwjWlyxbV3a9lfV262Rv6B4j0nxXpkepaLqdpq+nyEhLqxnWaNiDggMpIy DwR2rRryH9mL4V2nwb+EVnaLqH2035/ta5uXQxKGkjTjaWYAKqqM55254r0Pwp438P8Ajqzmu/Du tWOt20MhiklsZ1lVH64JU8HGD9KyoVJSpwdZKM2trnTjMPClXqrDNzpxdlK1vS/a5t182/thfCvx r8QJPB2oeEdai0ttPnkt3BupbaUyzvCsbKyA5GU5zjHBGcnH0lWX4h0U65a2sSyiEwXlvdZK5z5c qvt/HbjNLFUI4mjKlK9n2dn3Ky3GSy/FQxMLXj3V1qrbfM8sh+Ani6OzRB8efiFFNgZCxaNJGp7h fM09nK9cbnY4xkml+Dlz4w0b4r+P/BviDxRqvjLR9J07SL3T9W1iztYZvNuDeCeLdbQQxsFFvA2C pYGQksQygezV534Keeb4wfEl3RRBGNMt42HU4gZznn/poP0966UrKx58m5Nt9T0SiqFhr+l6rd3d rZalaXl1ZsEuYLedXeBiAQHUHKkgg89iKv0Jp7A4uLs1YKKKKZIUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRVa+1G00yIS3l1DaRFtoeeQIpPXGT34P5VR/4S7Qv+ g1p3/gXH/jQBr0Vlw+KNGuJBHFq9jLIeiJcoSfwzV+C6gud3kzRy7euxg2PyoA8n+A2n3tr4s+Nd 1eR7Y77xw01s+5TviXStNhzgdMNC684Py56EE+u15z8GZprl/Hsssezd4qvUQgEBlRY0BGev3fzB r0agAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiisnxbrcnhnwrrGrxWU2oy2FnNdL aW4zJMUQsEUdycYA96Taim2VCLnJRjuzWorwz9lf9oXUvj/pHiG51PRU0qTTbpEjktgxgkjcMVUM xOZFCjdjA+ZTgbsD3OsMPiKeKpRrUneL2OzG4Ktl+IlhcQrTjv16X6BTJYkmjeORFkjcFWRhkMD1 BFPqvqN2bDT7m5ET3BhiaQRR43PgE7RnjJxiug4km3ZHJfCjwjonhHQL6HRNJs9Jim1O9aSOzhWJ WK3Mka5AHZEUD2FdrXz7+y7+07d/H/UPEFndeHYdGGmpFMktvM0isHLAq2VABypOc85PHBNe8anc TWmm3c9tD9ouIoXeOHJG9gpIXgE8njgGuPCVqNehGpQd49NLbabHq5nhcVhcZOjjFap11T31Wvoy 1RXz1+yd8TPid8QT4qj+IejTaellLGbSa4057JtztJvhAIAYIAg/vDI3FiwNfQtXhsRHFUlWgmk+ 6s+xjj8FUy/Eyw1VpuNtYu61V9H8wooorpPPCiiigD5n+Iv7L58ZftQaB40PiKaC0KpqUtpsJkje za3VEibPyq5YMe6kMRnd8v0xVKXTI5dYtdRLsJbeCW3VB90iRo2JPuPKH5mrtclDDU8PKcqas5u7 9T08ZmFfG06NOtK6px5VotFf/KwUUUV1nmBRRRQAUUUUAYd14P06+8EzeFbkSz6TNp50yUM+HeEx +WcsMYJUnkYry79l74C6T8FdD1ySyv7nUb3Ub6WCeafCLst55o4gEHAONxJ5yWPQcV7bVaw0+HTI Ght1KxtLJMQTn5pHZ2P4sxNc0sPSlVjWcfeimk+1z0IY6vTw1TCxm+Wo02ujtf8AW33eRZqMTxmY w+YvmhQ5j3DcFzgHHpwa8z+M37RfhH4FTaRB4ia9muNSZvLhsIVkaOMEBpXyy4UEgcZJ5wDg48u0 D9nfWo/2sZ/iLF4nWfRLhDqQjJdbmRJUKLbkBQvlrgYJOdqqCM5Nc9XF8tRUqMed3Slr8KfVnZhs s56MsRip+zi4ycG02puLtyr/ADPqGvFv2g9N+HfgnQ7z4g+KvDtxqd1A8MRbT5pY5ZHLBUJ2uq8c fMecKBzwK9prnfiF4e0zxR4L1ew1fT7fUrJrd3MF1GJE3KpKtg9wQCD2rsrKbpyVN2lZ29TzcK6S rwddNwurpaNq+tj4w/ZH/Z18J/Fe18T+LtR1LX7rTTevp1tbR6jcabdA7YZmklntZkdzlwuNwVsF iuSAv01+y5pepaL8F9NstU1K61a4i1LVhFdXt7NeTfZzqV0bdHmmJkcpCY0yxP3cZIANdP8AC3wR o/gbwtHBoljBp1re+VePb20SxoJDBEjHAHJPlgknkkmuF+AXxQ8Lx/CzTEv/ABNotnfpc3q3NtJf xI8MovJg6MpbKlWyCDyCMGuLL8KsHh40uu7t3Z6md5g8zx08Rd20Svukltoe1UVjWnjTw9qCRva6 7plykhwjQ3kbhjnGBg888Vs16R4IUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFcx8RPiHpnwy8Pw6vqsdzNDPfWmmwQWcYkmmuLmdIIUVSRktJIg68ZyeAawLz4yy2OzzPA HjVt2ceTpiS9PXbKcfjQBX+KPh/S/EnxD+Gdvq2m2eqW8d9eypFewJMiv9ilG4BgQDhmGfQn1rpv +FW+DP8AoUdB/wDBZD/8TXCp4q1Dx/8AE3wPPbeFfEGkWGmyX0t3NrGnNbhd1uUjw2SpyWIx16V7 FQBwOv8A7P3wu8V+R/bfw28Iax9n3eT/AGhoVrP5e7G7bvjOM7RnHXA9K5+4/Y++Bdzv3/B7wMN4 wfL8PWqdscbYxj8K9eooAwfBHgPw78NfDlvoHhXRLHw9otuztFYadAsMKFmLMQq8ZLEk/Wt6iigD zT43/H/w38BNM0u78QRXt2+ozNFBbaeiPKQoBd8O6jauVHXqy+uR3XhzX7LxX4f0zWtNkM2n6jbR 3dvIVKlo3UMpIPIOCOD0rj/jX8PfD3xF8K2lj4i01NStk1Kz2KzuhTfcRxthkIIyjsOD3ruNM021 0bTbTT7G3jtbK0iSCCCIYSONQFVVHYAAAfSuSCr+3nzNcllbvfrc9Or9U+pU/Zxkqt5czv7rWlrd ev8AXSzRRRXWeYFFFFABRRRQAUUUUAFFFFABRRRQBxfxmXxa3ww8QDwMyJ4q8gGyLbc53rvC7uN5 TeFzxuxXLfsuar4+1v4UWl98Q/m1S4laW0lkVUmktGVTGZVUABsluwO3bkZzn12svwrps2jeGNI0 +42me0s4YJNhyu5UCnB9MiuR0W8Qq3M9rWvpvvbuenHFxWBlhXTjdyT5re9tayfbbQ1KKK+Z4/Bv xXT9sKXVRrjp4JlhFy0AvGa3+zCMRiEW5biTeN2QMZJbOSVLr1pUeS0HLmaWnS/V+SJwWEji/ac1 VQ5IuWv2mvsrzfQ968F2ptNHuEMJhJ1G+baV25BupSp+hXGPbFb1FFdKVlY4Zy55OT6hRRRTIMLw tp8enS62kVstskmoPLtSMIGJRMt759a3aKKSVlYucnN3Zl6DZzWUN4sybDJeTSryDlWckHj2rUoo oSsKUnJ3YUUUUyQooooAKKKKACiiigAooooAKKKKACiiigD5Z/aE/Zpj+JXx18Ja9d655NheGO0l sWtvNO2HMhALPjDgkY24BJOGyad8NPjR8QfEn7Vev+GdQ8MNaeGrZJbQ/wCjshsoYjKYZy/RvNYb R/Ccgrwpz9LXej219qNjezJvms95hyAQpYAFuRwcDGR6mvnP4ufHjxZ8PP2l/D/hnRvDaanp2t21 lBL5kT+dPiWfcYXDbQFEuTuU42nOBzXz2JoUsHNYiMnDmmnK2vN0Sflft+dj7nAYyvmlF4GUI1HC lJR5mo8tndtbXdkt+3a9/pqiivk39sqb4u2/jTwd/wAIDPqqaTLtjRNHZwzX29zibHBQx4wG+XCv u4r1cXifqlF1eVytbRbnzeWYD+0sSsN7SML31k7LRXPrFVCKFUBVAwAOgrJuPB+g3YkE+iadMJc7 xJaRtvz1zkc5rRtEljtIUnkE06ookkAwGbHJx2yalVg6hlIZSMgjoa7Dy2fOf7ZXwl8Bt+y18Uru bwZ4cNxYeHNQu7OeTS4N9tcLbSeXLGxTKSAnhhgjPBr0Xwt+0Z8KfF+uWOg6F8RPC+oazeIrWml2 +qQ/aZlKb12RbtzAphxgcryOOa9GdFkUqwDKwwQRkEV4d+1BfQWPg/QfHmnWF14quvh94gg1ptH0 UNPdXIaKW0kiVI0kYuI7xpApCjKLudFywAs3qe50Vw2hfG7wT4h1u10a216KLV7p/LgsbyOS2lmf y2kKIsirvYIjthcnCk9Bmu5oEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVx/xj8c TfDL4ReOPGNtax3tx4e0O+1aK2lYqkzQW7yhGI5AJTBI9a8/0nT/ANoLUtBsb1PG3w2864t45vLf wdqGAWUEgsNU9+u0Z9BQB0nx202y1bSvB9rfoskf/CW6PPGhcqTLFdJNGRggnDRhsd9pzkZr0yvI dS8CfEfxbe+DR4j1fws1npGqwapfHS7C5hkuGijkAEQeZwgMjKcMW+UEZzg169QAUUUUAFFFFABR RRQBHNClwgWRQ6hlcA+oIIP4EA1JRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZQ0iT/ AISk6pvXyvsQtgnO7dv3E/TpWrRSauUpON7HO3PxE8MWXi+38LT69YQ+Ip4/Mi0151EzjGeF9SMk DqQCQMV0VfP3iH9mHw5q/wC0rpPjue+v2uZFbVZLEuDF9ptjbJCVbG4L8wYqSckDkL8tei/HLwx4 o8ZfC/W9H8Haomka9dIixXLyNF8m9TIodQSpZAwBA744zkcMKtdRqyqQ+FvlSd21bT5s9irhsG54 eFCq/fS5nJWUW3Z+qX9eXeUV49+yl4Y8WeFvg5psHjDVW1S+uX+12oeYzNbWzohSFnP3iDuPUgbs A4Ar2GuihUdalGpKPK2r2e6ODF0I4bEToxmpqLautnbqFFFFbnIFeJn9qrw8vx1/4VgdL1Aah5/2 X7eQiw+b5YcDBIbHJGcdQMAg5rl11z41x/tYLprLLJ8OpC0oQwQ/ZltREQGMgBdX8w8AkMxHTYCB 69L4F8ON8V4PEJ0LTjrv2B2/tI2qefuBRA2/GdwT5M9dvHTivL9tWxP8C8OWdnzLdLe3r0Z9GsJh sD/vdqnPT5o8kvhk9ubzVtUdtRRRXqHzgVBbX9tePOlvcRTvA/lyrG4Yxt12tjoeehrlPjHrXiHw 78MPEepeFLIah4gt7Uva2+xnLHIDFVXlmClmCjqQB3r5U/4Jx+CdRt5fFXiq4gubfTZ4YrG0kZis VywdmkIXOGKbUG7HG9gD94V5dbGuni6WFjC/Om2+yXy1/Dp3PocLlUa+W4jMZ1VH2bilHdyb+en3 O+vY+3aK+YP2hvgJ40+IPxz8E+JNB8Sx6ZZW+yJS0jLJYtGzSSSRrtZWLL6gZKgN8vI+n66aNapU qVIThyqL0ffzODFYWjQo0alOqpuabaSa5Xe1n3/rybKKKK6zzQooooAK8n079pvwRqvxgf4b21xd Sa6rywmfyQLXz49xeHfuzvARv4duRjO7ivWK84tvhN4Rh+NNz4vTQ7ceIzYq/wBuLMSGZmQuFztD FQF3YzjjPNctf294exaWqvft1t5npYP6par9aUm+V8vLb4ul79O9j0eiiiuo80KwdXtJp/FXh+aO JnhhFwZHA4TKADJ9zW9RSauXGXI7rz/FWCsXxFpU+p3ugSQhdlnqH2mUscYTyZV49Tl1raooauEZ ODujz/49fD/VPij8J9f8M6NqK6XqN9GojmdmVG2urGNivIVwCp4PDdD0rC/ZW8Caz8PPgvo2m63q iancS5u4fKYslvDIAY4lJVSQBycjgsQDgCvXaz9B0s6F4f07TVkFw1nax24kI2B9iBc45xnHvXK8 NB4hYn7Vrb6WvfY9GOPqrAvAacjkpba3tbf7v6uTanZnUdNu7QStCZ4XiEqEhk3KRkYIORnsRXz5 +yX+zvN8E77xbdTeIP7VNzOLEQx23lIBCSRIcsxJO8gDtzyc8VP2bvHPxn8S/FbxdY/EDTJ7PQLa JnjSa1jRLS4Lo0cMUqKPNHlOSeW4CkkE/N9E6VpEekm88p3cXVy9y2/HDNjIHtxXLS9jj5U8VyNO Dkle6a6PQ9DEvE5PCtl3tYyjUUG+W0k+q1t08vxR5X8b4Vn+K3wAViQB4vu349RoOqkfyr2OvJvj bZaha+J/h14nsPBmr+NW8PandXH2TRJrWO4gaWyntxLi4uIUYYlZSNx+9nHGRd/4XZcR2ltNcfDj xzbSTIHNv/ZsMzxHAJVzFM65GccEg4OCRzXqnzZ6ZRXGeBfitpPjzWNV0eCz1XSda0u3tru707V7 J7eaOG4aZYX5yrBjbTDgkjZyBkZ7OgAooooAKKKKACiiigAooooAKKKKACiiigAooooA8q/ax/5N Y+Mn/Ymaz/6QzV33hD/kU9F/68oP/Ra1wP7WP/JrHxk/7EzWf/SGavQ/DVu1p4c0qByC8VpEhK9M hAKANKiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCu 9hBJfw3rJm5hieFHyeEcoWGOnJjT8vc1YoooHds8T+IP7RXg/wDZ0bwr4U8Qve3l5JZRK8thCjrB GoEYlkUuGAJDEBQxwrewPtasHUMpDKRkEdDXmvxZ+E/hL4i6/wCD5vEeh2+qyw37Rq0pYHYLeeTY dpG5d6KSpyDjkYJr0uuOiq6qVPaNcmnLbdaa3PUxcsJKhRdGMlUabm3az10t+N/kFFFFdh5RlpZz DxNNdlP9HazSIPkfeDuSMdehFae0Fg2BuAwD3/zxS0UkrFOTYUUUUyQrgPgb4Im8AfD+HTLlZEun u7q6lSQg7WkmduCO3II74PNd/RUOCclPqr/jb/I3jWlGlKitpNN/K9vzZRvdON3qGnXIcKLWR2Kk fe3Iy/1q9RRVWMW27J9AooopiCivL/id+0b4M+EninR9A8QXcsV9qRRgY1BS3jYsollYkbV3LjPv noCR6aZowqMZFCuQFOeGz0x61lCtTnKUIyTcd/L1Ompha9GEKtSDUZ6xbWjt2H1GIIxMZvLXzSoQ ybRuK5yBn05NSUVqcwUUUUAFFFFAHmOgftF+CvE3xVvfh9YX0suvWokDMUAgkkj3eZEjZyzqFJIA xjPJw2PTq8r8P/BjwZo3xv1zxZZ6FDDr72sN19rDudss7XCTOqbtoZwgyQM8t/ebPqlcmG9vyy9v a93a19ul79T0sesIpwWDUrcsb81vitra3TsFfGn7WOq/G26+LWmaJ4OfVLTQJVhl09tKfyUlmBVW M82FC/vJEXa7bDmP+JiK+y65fxV4bu9b1rSZ7cxrFbAGRpGx0u7SbAwO6wP+OOmayx2GeLo+zU3H VbaP0OrJsdHLsWq06cZ6Ne8rpefqS+CNJ1XS7K6fWZYJtRunhlmktwQjSC1gjkIBJIBeNyBk8Y5r o6434ifGDwf8KF04+Ktbh0k6hL5Vsro7s5GNxwoJCjIyxwBkc8ik8G/GTwT8QtbvtI8N+JLHWdRs k8yaG1cthPly6tjDqC6gspIBOOuRW6rUYy9lzrm7X17+pxTw2Kqw+s+yfJ3UXy6ab7abHZ145+1Z 4m8feEfhW+o/D2CWTU47tPtc1vbrcSwWu1y7rGwIPzBATg7VJOBgsvsdZHi+wn1Twlrdlap5tzc2 M8MSZA3O0bBRk8DkjrTxFN1aMqcZOLa3W69BYGtHD4qnVnBSSaupbP1PlP8AYk+J+ufFr4o/EbxJ 4h8qXUrnSdIsi9tEY4lS2kvWXIyQGY3TdCB8nA6mvsOvnPTPCvxd8C/E/wCI/iDwr4Z8K69pPiTU YZohrXiC5064iEUIjPyJZTKVJBIO/nPSuX8Q/toeMfCfxDh8A6h8NdGm8XSTwWggsvFEzWvnTbPK BlewVgDvUnCNgNwTiuClWWAw0FjKl3e12t227bX6Hs4nDPOMdVeV0OWKjzcqaskkubV269PuR9aU VxHwZ+I0/wAVvh9aeIbvSP7Bvzd32n3enC5FysFxaXk1pMqyhV3r5kDlW2rlSCQDxXb1658wFFFF ABRRRQAUUUUAFFFFABRRRQAUUV8wfs/fs/8Aw28V6f4p8U6t4G0K+8TyeOfFW7WpLFPthxrN9GAZ gN+Nny4z04oA779sV1j/AGT/AIwlmCj/AIRPUxknHJtpAB+deu28K20EcSklY1CAnrgDFeY3/wCz H8NdU0mbS7rw682mTOrzWbajd+TNhlbbInm4dTtAZGBVlyrAqSD6lQAUUUUAFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAeefGH47+FPgfZafceJbicPfyFLe3 tIvMlcAqHbGR8qhgSc+wycA9zpWp2ut6XZ6jZTJc2V3ClxBNGwZZI3UMrAjgggg5rzz47/Cjwv8A FLQNMj8R6aL5rTULZLeVZGjkiE08UcoDKQcMp6dMqp7CvRNM0210bTbTT7G3jtbK0iSCCCIYSONQ FVVHYAAAfSuSHt/bz57cllbe/nc9OqsJ9TpOkpe1vLmvbltpa3Xbe5YKhiCQCQcjPaloorrPMCim SypDG8kjrHGgLM7HAUDqSazfDvivRfF1kbzQtXsdZtAxUz2FykyZBI6qSOoP5UrpO19S1CTi5JaL qatFc78RNQ1zSvAuvXnhmyTUdfgs5HsbV+kkoX5Rjv644zjGRmvNv2UvHvj34geAry78f6fLZ6hb 3fkW889i1o9zGEUlypAB+YkZVQOCOoNc8sRGNaNBp3abvbTTzO2GCnUwk8YpLli0mr+9r2Xb+u57 XRRRXSeeFFFFABRRRQAV5D8Z/wBp3wl8DvEOi6Pr0d7PdaivnObONXFrDu2+Y4LAkEhsBQSdjdwA fXq89+KPw48MePNb8Ht4h0Oz1cxX8saG6j3YQ2s7FT6jcinB4yoPUVyYpVnSf1dpS0323PSy54RY hPGxcqdndRdns7fiZfxV+Dngr4leLPBmreINDh1S6S5NsskjuoeEQTzKjhSAyh0Bw2Ryw6MQfOv2 m/2cNZ+LnxP8Ga1Z+KDpdomLEQYcPbyIJrgzRMOAzbFXOARtU5OAB9Ly28UzxPJGkjxNvjZlBKNg rkehwzDI7EjvVa/0yO/utOnd2VrGc3CBejExSR4PtiQn6gVjXwNDERlGcfiabtpe3drc68HnGLwc 6c6VR+5GSV9Uua+yd0uhcUFVAJLEDqeprO8S6rLoXhzVdSgtXvp7O0luI7WMgNMyIWCAnjJIxz61 pUV6DV1ZHiRaUk2rngn7K37Res/H638RSap4ei0qLTpUEF3aM7QyBy58slv40UJkg87s4XgH2Txb 4t0jwL4cvte16+j03SbJA89zICQgJCjgAkkkgAAEkkADJqLwfZNY6ZdB4hFJJqN7K3ABYNcyFWPr ldv4YqH4geAtH+JvhG/8N69A9xpd6F8xY5DG4KuHVlYcghlB/DByCRXFRhXp4blc+epZ6tWu+l7f cetiquDr49zjT9nRbV1F3aWidm929WunyI/h78SfDnxU8PDW/C+ppqmnea0DSKjxskigEoyuAynD A8joQRwQa1tN8RaVrNzdW+n6nZ31xakLcRW1wkjwkgMA4BJXIIIz2Ir5N8dfDvx38Mvgl4Ks/gyJ LK1vDHc6xJBMgvJ7mZIljbc+BtLZUhcclBjHTq/2SP2bbr4K6v4i1HUNb+3ahJFDYTWUEbJDE5ii nY53kSEGTaGKggBiMbyK4qWMxUqsKEqXT3pbR1V/dvq+3keticqwFPDVcXTxOl2oQ3m7Ss+e2ke6 7/gfSa28SzvOI0EzqqNIFG5lUkqCepALNgdtx9akr5o+PfxF+MPhr43+EdJ8F6Q154cuURmj+zK0 V7JuYypLNtJiCoARjBHJ+bgD6Xr0aOIjWnOmotcjtqrJ9dO54eKwM8LSo1pyi1UV1Z3as7arp/XV MKKKK6jzTxv9oX4BeG/jM/hu61p7yGawvI4Q1rKF8yGR1DowIPXAwRgisz4H/s5eDvhV8R/Fmr6H FeC4haOxt0ubjzEgieGKVwvGSSx6sTwMDHOfbr6O2aJHuygjjkV1aRsAOD8p+ucY96W30+3tbm6u Iogk10yvMw/jYKFBP/AVA/CuB4LDyr/WHBc+97a7WPahm2Mhg3glVl7OzVr6atP/AD+/zLFZ1x4j 0m01OPTZtTtI9RkR5EsmnUTuqAFyqZ3EAMpOBxketaNfOev/ALM0OpftVaZ8QT4iuYhIv9pNYJEQ xe3SGEIJQ4wjb0JBU5AZTkNxriKlWmoulDmu0nray6vzt2OfA0MNXlNYmpyJRbWl7yW0fK/c8r+J v7T/AIs+NfiXS9J+CMuqWcti8n2vzvs0JvN0kaxOqyOSUBBzkDAkG4DOB9SQeFY7zxf4Q1HXtN06 /wDEVno9x52opaL8lxm2DNGxyUBJkwM5wSPWsXwV8I/DXhTW/E0vhrQrHSZv7at2ka3TZ+6WG2kK L6LuLMFGBkmvVq4cJha0XKpiZ80pNafZVnpZdPPzPYzPMMM1ToYClyQinq/jfMteaS3Wui7Hk37L mjXOhfB+G3vJUmnm1zXb3ejFsrPq95OuSQDu2yAH3zyetes15z+zzNNdfCDQriePy5Z3upmXBA+a 5lbjPbnI9q9Gr2D5UKKKKACiiigAooooAKKKKACiiigArx79lt1k8AeJGUhlbxx4rIIOQR/bt9Xr d3dR2VrNcSnbFCjSOfQAZNecfs0RS/8ACh/Bd9c2D6Xe6vYLrd3ZyKFeK4vGa7mVwFX5vMnfJIBJ ySMk0Aem0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFcb4A+MPg34pT6nD4V1631iXTXEdysSuuwkkAjco3qcHDLlT612EkayxsjjKsCpHqDXiPwB/Z08 K/BvxZ4v1DRGvZ7pp1sI2vZEfyYDFFOUXCg8s4BJJyI175J5Ksq6q01TScHfmvutNLHp4anhJ4av KtKSqJLkStZ62d/wse13FrDdxiOaNZUDrIFYZAZWDKfqGAI9xUtFFdZ5t+gUUUUCMbxn4Xt/G3hD WvD93JJDbapZTWUksWN6LIhUsueMjORn0ryr9lj4G2/wV8L6vFHrNzq897fzJKzqYol8iWSIFItz AFguSck9BnAFe3VT0vTItJtnghZ2R55rglyCd0kjSMOB0y5x7Y61yyw9OdaNdr3oppP1PRp46vSw lTBxlaE2m13tf59i5WX4Zs5tP0CxtrhPLmjjCuuQcH6itSium2tzgvpyhRRRTJCiiigAooooAKY8 SSMjMisyHcpIyVOCMj04JH4mn0UAFFFFABRRRQAUUUUAYep+H1OgWOmaeixQ2k9kY0ZiQsUM8bkZ OSTtQ4z1NaFlpkVhc6hPGzl72cXEgYjAYRpHgcdMRr1zyTVyipstzR1JNct/60/yMvUrOa41fSJo 03RQSSNI2QNoMbKPryR0rUoop2sS3dJdgooopknz/wDte/Ay/wDjToPhlbHWl0wafqCRyQzBmikF xJFEHKjqyZyM9mYZGa9r8KaG/hnwvpGjyXs+pPYWkVqby5OZZyiBd7e5xk/WrGraZHq9qkEjsipP DcAr1zFKsgH0JQA+xq7XJDDU6dedeK96SV/kenVx9atg6WDk/cpuTSsutuu+9wqnLpkUurW2olnE 0EEtuqgjaVkaNmJ4znMS457n8LlZFx4lsZLi907T76xvNdggaZdNF0gl/iC7lySqllK7iOx9K6W0 tzggpN+6eLftN/tAN8JfDdyngyXR9R8W/bI/7Qst6zT2sXlFjPLCh3Y2pGu5sABl9Vr0z4N+Kte8 bfDPQta8TaQdD1y7hLXFkVKAEMQrBW5UMoVtp5G7HOM18V/AL4XeL/iB8Z/HXivxJpV5peq2Fjes 9uyvH5t7cRSQrGPMJJXDSnhsDCgfKcV+gzusalmIVVGSScACvDy6rXxc54mpeMXdKPo9+9z6/PcN g8to0sBRSnUVpSn1u18OjtbVNP8A4N/LP2Vtf/4Sv9nP4ea35H2X+0tHgvPI37/L8wb9u7AzjdjO BnHSvVa8g/Y8/wCTUPg9/wBilpf/AKSx16/XvHxgUUUUAFFFFABRRRQAUUUUAFFFFAHm/wC0leap Y/s/fEeTQyBrbeH72KwyFP8ApDwskX3vl++y/e+X14zXdaHpcWh6Jp+mwII4LO3jt40DFgqooUDJ 5PA7815l+1LqJsPhE0KrG39o69oWlssqsRsudWtIJD8pByEkcjnqB16V63QAUUUUAFFFFABRRRQA UUUUAFFFFABRRRQAUUUUAFFFFABRRWV4q8T6d4L8Oalrurz/AGbTdPga4nlwSQqjPAHJJ6ADqSBS bUU29ioxlOShFXb2NWivlD4nft7aNoGl6HqPg3S/+Ejs7y4uILlr0vamJovKO1RtOSyy5z0GR1OQ PqHQtSfWdE0/UJbSbT5Lu3jna0uMeZAWUMUbBI3LnBx3FcdDG4fEzlToy5nG17ba7a7M9TGZVjMB ShWxVPlU7pX3912em6+aL1FFFdp5IUUUUAFfOX7XPxF+KngJ/C5+HunzTWdxMy3c9rYi8kklyBHA UKttVsnkDJPAIxz9G1m65Yy38VmsIBMd3DM2TjCqwJ/lXJiqMq9GVOE3Fvqtz0suxNPCYqFarTVS Kv7stndW/Dck0K4vbvRNPn1O2Sy1KW3je5ton3rFKVBdA2BkBsjOBnFTW1hBaTXcsKbJLqUTTHJO 5wioDz0+VFHHp9asVyfiX4reEfB3iPTNA1rX7PTtY1JkFrZzPh5NxYKemFBKMoZsDIAzkgHeUo00 nN29TkhCpXk40YtvV2V3pv8AcjrKKKK0MAooooAKKKKACiiigAooooAKKKKACqt5qdnpxiF3dwWp lbbGJpFTecgYGTyckD8RVqvnX9qj9m2f45634Uuk8R/2PHbM9k0T2xnUb/nMijevPyYI78cjFcuJ qVaVJzow55dr2v8ANno5fQw+JxEaWKq+zg73lZytp2XfY+iqKitoTb28URdpCiBd7EktgYySealr qPOCiiigAooooA8b/al+InjX4afD211PwPpLalfyXqw3MgtGuRbwGNyXKqePmCDccqM4PJFdx8Kd d1/xP8OtA1XxRpqaRr13bLLdWUYZRGSTj5W+ZSV2kqeVJIycZrX8UWkt94ev4IEMkzxEKg6k0ni3 W5PDPhXWNXisptRlsLOa6W0txmSYohYIo7k4wB71x+zlCtKtKb5bbdF5nqutTq4SnhYUlz8z97q7 7J9La/h6mtRXgv7K37RWsfH608RzaroMGkR6dPGlvcWzsY5g/mHy/m6uiquSDzuzheAfeqvD4ini qSrUneL+RhjsFXy7ESwuIVpx31T3V915MKKKK6ThCiiigAooooAK+d/AX7Nq+Ev2mvEXjj/hJru9 EsTXi2UsZDZumlUo8gfDKnlnapXHKd0BPqnif4zeCvBni3S/DGteILax13UyotrNw7E7jhdzKCse TwN5Ge2a6iLTIotWudRDOZp4IrdlJG0LG0jKRxnOZWzz2H48VSlQxU481m4O++zt1t+p69DEYvL6 U1G8Y1o21XxRvrZtbb6o5n7VpXga98R69rd9BpcVw24yXMoUNDChcsozk4DuSAM8VW8DfFzwt8YP Cmqal4V1BtQtbcPBMXt5ITHJs3bSHUZ4I5GR715J+0v+y/8A8Lo+IvhTVZfEs9haSEabNZmIOERV kmZojkBWZVYHIPO3sMV2Pwp+EPhz4NfDXxG/hu3lhub1LmWe5uJPMkfyzKIl9NqAkAY7nOSSa54V MW8U6fIlSV9b6v0S2+Z3V6GXLL41/bSlXlb3UrRjbSzb30WjRb/ZFg+z/sqfBxd27Pg/SXzjH3rO I/1r1qvNf2ZtJu9B/Zv+FGmX8XkX1l4T0m2ni3BtkiWcSsuQSDggjIJFelV6p80FFFFABRRRQAUU UUAFFFFAHDfGrxxefDv4cajrOmtaJqrT2mn2LX0Ek8Aurq6itYN8cZVmXzJkyAy/7y9RyNxof7Qy uBB41+GUiY5MnhDUUOfoNUNO/atkB+HPh+18zy/tfjbwrBnbnP8AxPLJv/Zc/hXstAHgerfC34x+ P7vQbLxp4w8ESeHLDWtP1m4h0Dw7eWt3M1ndR3USLLLeyqqmSFN3yElcgEE5HvlFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFZXinwvpvjTw7qGh6xbfa9Mv4jDcQ7iu5T7qQQfcGtW ik0pJprRlRlKElOLs1szyT4b/Czw98PPh3o9h4e0wwwT6nb6hPvd5mabcimQlicYCKOMAY9Sc+t1 Fb28VpBHDDGsUSDaqKMACpazpUo0oqEFZLojoxGIqYmo6lWTbbbu3d6hRRRWpyhRRRQAUUUUAeR/ tV+Ete8afA/xDp/h68FpdrH9omQymP7RBGC0kW4f3gOh4PQkA15JpH7H9lq2m/DS4+IOq3ur+Ibe VrS68i7MsE1uv2i5iiJlTcQAAhxjhmA6Ka+kPijcT2nwz8Wz21pJf3Eek3bR2sP35WELYUcHknjg E+xryn9lf41337QPh+/vta0SHT59BvlW1mtWbyn3ROoHLEl1RiGyNp3gjnhfCxNDC1cZGNbWUo6J 3taLv6XPssBjMww+VTqYVqNOnJttWUryjyrzt/w/Q99ooor3T40KKKKACiiigAooooAKKKKACiii gAqnqGnC/lsnZygtpxPgD72FZQPb72fwq5RQNNp3QVwHx38aa98PfhXrmveGtKOsaxaonk24jaQL udVaQovLBQSxA9OeATXf0VnUi5wlGLs2t+3mbUKkaVaFSceZJptPZpPb5nlX7NHxH8SfFX4V2ev+ KNLGmajLNIiFIWijuYRgpMilidpDYz3KkjjFeq1jeC7Saw8HaFbXEbQ3ENhBHJG3VWEagg/Qitmo oRlClGM5czSV33NcZUp1cTUnSgoxbdktkr7IKKKK3OMKKKKAPjPx/wDsw698TPFHhfU08QTeH7VN d1i1W1eJ0lt/+JlqF0txDjABdAmDgcBGywwB9lqCqgEliB1PU1R1LSv7QvNKn83y/sNy1xt2535h kjx14/1mc89Md81frgwuDp4VylBaytfzsrHs5hmlfMI04VXpDmsrLTmk29evT+rhRRRXeeMFFFFA BRRRQB4Z8XPgj4J1r4o6F4/12V7O40uB7md5blYrWT7Phomlz0ClhyGAIUA5Fcf+xp8ZfiT8XL/x LdeLIBdeHwBLZ6gLYQJHNuwYItqgSKFySSSy4XJO+vavjF8JNK+M/gu78PapPcWayhTHd2zYeJg6 vnaflYEoAQR06YOCOT/ZX+FqfCz4WjTctOl/MuoGeQj9/wCbbw5baCQoBBXHXCjPXJ8KWGqxx8Z0 lyw1crP4norNeW/z7n2UMdh6mS1Kdd89VcsYqS+CN27xfns12S3R12h/EDwf8SPEsun6H4gttT1P w7dGW4gtWyFYxPH1xhl/enlSQGGM5BFX/iDjSfht4pe0VYGi0u8lTaBhW8p2zjp15r5A0f8AZp8W /DD9puwuvhxcyQeGY75FuJrm6UGK3CQyz28i53SoVkULwTnbkgrvr6p/aB1//hFPgL8Sdb8j7V/Z vhrUrzyN+zzPLtZH27sHGduM4OM9K6sDXr11NYinyyi2vJ+a/r/JednGDwuElSeDre0hOKevxLup Jba3t/Te38NreS0+HXhaCVdksWlWqOuc4IhUEcV0dZXhRGj8LaOjqUdbOEFWGCDsHBrVr0z54KKK KACiiigAooooAKKKKAOa+IPgKx+I+gx6Vf3eoWCRXUF7FdaXdNbXEUsMgkRlce6jI6EZB4NcnrHw R1HUbCK2s/ir490V42B+0Wd3ZSSMoBG0+fayAg5BzjOQOeufUaKAPHZfgR4sKER/Hv4io/Ytb6Ew /L+zB/OkX4JePIoCkX7QHjkEA7Wk0vQXwffOm5P517HRQB5npvw58d6fpaW0nxa1TUrlA3+m3ui6 fvckkgssUMa8ZA4A4Hrk1NZ+CviJbb/M+JUN3uxjzvD0I2/TbIv6+lejUUAeNW/gn48Qbt/xZ8F3 GenmeAJxj6bdVFLH4Y+P0MrH/hYvw9nTkASeCL0fjxqvX8a9kooA8jsdI+O9vqcLXniz4d6hp4B8 2KDwxf2srHBxtc6jKBg4PKnIyOOtad2nxeSQC2l8EzR45aWK8jOfTAZvbvXpNFAHmGu33xnt7RG0 bRPAl/dFwGjvtYvbVAmDkhltZCTnHG0dTzxg5c3iP4/RKCvw/wDh3Mc42p42vgfrzpQr2OigDx6H xn8co7m1S6+Ffg97dnUTy2njqdnRcjcyo+mIGOMkLuGcYJHWtv8A4Tj4gx3nlyfDPfAOs1vr9u2e OysqnrxzivRqKAPH5PjJ8QILu5hf4CeL5443KR3FrrOhskoBI3APfowB4IyAeeQDxUSfHrxasTPP 8A/iMhXJxFPob8f+DIHPtivZaKAPL7T43Xkulw3l58MfHmmySEqbOawtppo+SBu8i4kXkDOQx6jO DxSax+0Bp2g2EV3eeDfHpSRgnl2fhS9vJFYgnlIEcgDB+bpnAzyM+o0UAeOSftV+D4GQT6D8Q7cO cBpfh5roHuf+POp7H9qfwBf6nDYA+KrW4lBK/b/BWtWseACcmSW0VV6HGSMngcnFeuUUAecw/tEf D2a4kg/4SNIpY87luLWeLBBwR86Dn261jyftf/A+C4nt7j4s+DrS5t5GhmgutZghkjdThlZXYEEH g8dQa9eooA8lg/a6+Btxu2/GPwGMdd/iSzT+cgzXT6T8avh7r2nxX+mePPDOo2MufLubTWLeWJ8E qcMrkHBBH1Brqf7Ksv8Anzt/+/S/4VmXfgPwzfxiO58O6TcRg7gstjEwB9cFfc0ATW/jDQbsRmDW 9OmEuNhju42356Ywec1fi1C1nkCR3MMjnoqyAk/hXE6/+z98LvFfkf238NvCGsfZ93k/2hoVrP5e 7G7bvjOM7RnHXA9KwZv2Q/gbOwZvg74EBAx8nhy0UfkIxQB65RXlelfssfCLQPtf9kfDzQNF+1hV n/sqzW08zAIXPlbemTg9sn1qS7/Zq+H13pc2njS9Rs7aYhm/s/Xb+0fIIOQ8U6sOgzgjI4PHFAHq FFeNP+yb4EMSxxX/AI6t1XAHlfEHXuAO2DekYqWP9mDw7Bd21zB4s+JEMkDiRVbx/rMqMQQRuSS5 ZWHHQjByQQRQB7BWH4OtZLPR5opIWgP2++ZUZdvytdSspA9CpBHqCK5X/hTGy8+0Q+OvGsOOkX9r +Yg4x0dGz685rI8E+H9a8EfGO70q68deI/Fml6hpEt+lprzWrLZutwigQmGCJtu1yPnLngc5zlW1 uWpWi49/+D/meu0UUUyAooqG7eWO0meCMTTqjGOMnAZscDPbJoGtSaivnP8AZJ8T/F3X7jxXB8S4 LgW9nOsVvNfWyQS+fkmRECKA0eNp3DjkbSR0+jK5cNiFiqSqqLjfo1Znfj8FLL8TLDSnGTVtYu6d 1fRhRRRXUeeFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZniXxJpvg/QL/W9YulsdLsYmnuLhlL BEHU4AJJ9AASTwBSbUVd7FRjKclGKu3sjTormfh78SfDnxU8PDW/C+ppqmnea0DSKjxskigEoyuA ynDA8joQRwQa6aphONSKnB3T6oqpSnRm6dWLjJbpqzXqgoooqzMKKKKACiiigAqlo+nQ6LpdlpsD s8VnBHAhkILlVXaCcY5OPSrtfMfg/wDZ+8V6J+1nrHjWfxYl1pDhr+a3XeksyTLPFBA6AbCsYT7x P8K4UE5HJXq1KUoclPmu7PXZd/M9PB4eliIVnVrKHLHmSab5mtlptvv/AEvoP/hH1i8Qx6jBtUO0 slxuY5Z2jijUgdPuxCvPv2up/s/7Knxjbbuz4P1ZMZx96zlH9a9arxv9su4W2/ZM+MDsCQfCuopx 6tbuo/U11JWPOlJytfoetaV/yC7P/rin/oIq1RRTJCiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArzZ7t3/aO itiF8uPwo8gPfLXig/8AoA/WvSa5rxP8NvDHjS8iu9b0W21G5ij8pJZQdwTJO3II4ySfxNAHS0V5 tafs6/D+wkMltoctvIRtLRajdKSPTIl9hVH9n7w9beGU+INlZajqN9YDxXdNBDqGoS3gtF8i3DQx NIzMsYcO2zJCs74wMAAHq9FFFAGbo1jLZy6k0oAE920yYOfl2qP/AGU1pUUUkrFSbk7sKKKKZIUU UUAFcV8ZvCeu+OPhlruieGtW/sTW7uJVtrzcVCkOrFSw5UMAV3Dkbs84xXa1598fNN8X6v8ACXxB Z+BZ5LfxPLGgtpIZhDLt8xTIEckBWKBgDkdeCDg1z4i3sZ3Tej0W706efY7sDdYulaSi+aOsvhWq 1fkuvkcr+yH8Ptf+HfwasLXxDqRvri+kF/Bb+aZFsoHjj2Qgn02liF+UFjjPU+115H+yvYeMdN+C +iw+NpvO1HlrXc4kkS0IHkiRwzBjjJBzwpUHkGvXKxwMVDDU4xTSstHv8zpzecqmYV5TkpPmesfh evTyEZgoyxAGQOaWvnT9sb4K+JPi3pnhObw9rMGntpl9seC6lkjRnneKOKUFFY7kbjpkB2II5B98 0CwuNK0LTbK6u31C6traOGW7dQrTuqgM5AAALEE4AxzV061SVadOULKNrPvf/IyrYWjTwlLEQqqU puV42d42emvW61L9FFYPjzxhafD/AMGaz4kvopZ7XTLV7mSKBcu4UZ2j6njJ4HU8V0ykoRcpbI4K cJVZqEFdt2Xqzeoryf8AZz+PcX7QHhO/1ddFl0SayuzayQtL50Z+UMpWTauTgjIwMceor1is6NaG IpqrSd4vY3xWFrYKtLD4iPLOOjX/AA2gVh+N/Bml/ELwpqXh3WoPtOmahF5UyDAPUEMD2YEAg9iA a3K+aPDfw2+KNr+1nrGuXHigt4NGLuS0F2+yS3lSVIYVgO5QyNENzfLwNwOTtrHE1HDlh7NyUnZ+ SfV+R14CgqrqVfbKnKnHmV73bTVkrdex6T+zp8LdF+FPwv02x0U3DrqKpqVzLdSB3eaSNM9AAFAV QAB0Hckk+nVBYWUOm2NvaW67ILeNYo1HZVGAPyFT1vSpRo0404KyRyYrETxVedeo25Sd7sKKK8k/ af8AGvjXwF8Lp9U8C6c19qonWKaWOHz3tISrZmEeDuwwUcggZyQQDSrVVQpyqyTaSvpqx4TDSxle GHg0nJ2V3Za92et0VxPwY1zxP4l+GOg6l4x01tI8Rzwk3Vq6eWykOwVmT+AsoVtvUbsHniu2qqc1 UgprZq5lWpOhVlSk03FtaO6000fVFXU70aZpt3eGNphbwvKY0IDNtUnAzxk4714R+zF+1FP8fLvx BbahokGhyaf5BhaK4Miy+Zv+Q7gPmHlkjHUE9NuT9A18r/tF/s333xmt9Em03VrbSI7LV7qA281u djefcIrygqeoEY4xzjqK8/GvE0+Wth/e5b3joua9ur2tv57Hu5RDAV1Uw2N9xztapq+S12/dXxc2 i1atufVFc5rmoaX4LuNU8T63qttpelm1t7eSa7cRpGUklwSxOPmMwAHqPetywtms7G3t3nkuXijW Np5Tl5CBjc3ueprhfjv8MtN+LPw01TQ9TnuLWFR9rSW1IDrJGCy9QQQeQR79q7qrmqblTV5JaJ9z yMKqUq8adaTUG0m0ru1+h2OgeIdM8VaPbaro2oW2qabcgtDd2kokjfBIOGHHBBBHYgg8iuL/AGhJ 3g+DviPy4mnkkjihWNepLzIgx6/e6d6vfBr4aad8JPh7pvhvS57m6tYd83nXbKZGaRi5ztAHGcDj oK5r9qXULnT/AISp9kuRaz3XiPw9ZbyqtlJtasopBg+qO49R1BBGadJzlTi6itK2vr1M8RGlCtON BtwTdm9G1fS563RRRWpzhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFeNfCfxz4S0Gfx3aXfifSLS/H ivUGubW51CFJIWLLtDKWBXKbGwezA9CK9lrLvfCui6k8rXej2F00wIkaa1Ry+Rg5yOfxoAqWfxA8 L6hv+y+JNIudmN3k38T7c9M4b2NW4fFGjXEgji1exlkPREuUJP4ZrL/4Vb4M/wChR0H/AMFkP/xN c7q37M3wf17UJb/U/hR4I1G+lx5lzd+HLOWV8AKMs0ZJwAB9AKAOxk8Z+H4Y3kk13TUjQFmZryMA AdSTmrVvr2mXaF4NRtJkBwWjnVhn04NcroXwJ+Gvhe0e10b4e+FdJtXcytBY6JbQozkAFiqoATgA Z9h6Vma3+zD8HfEl5Near8KfBWoXs23zLq58PWjzPgADLmPccAAdegxQB6UjrIoZSGVhkEHIIp1e U6V+yn8HdAvmvdJ+GnhnR7tozC02m6dHasyEglSYwuRkA/gPQVoXn7O/w7vtnmeGYV25x5M80XX1 2uM/jQB6NRXgvws8LaZ4J/ad+IOiaDBcWOjw+EtBuWtDcyyQi4ku9WDSAOzAMyRRjPole9UAFFFF AGZ4Y0yXRfDWk6dOyPNaWkNvI0ZJUsqBSRkA4yPStOvmT4kfGD4saL+09oHhHQ9BWTwpcNDgtal1 vID5f2mYy/weUWZeCAOCwbctfTdceHxEKznCCfuOzurfd3PUxuCq4WNKtVlF+1XMrO9k+/Z/8Num UNb0r+2LOODzfJ2XNvcbtu7PlTJJjqOuzGe2c89Kv0V43+1N8ZNe+CPw6h1zw/pMOpXU14ls810j vBaqQx3uFIPJAUcgZYdeAdK9aGGpyrVNktTDCYarjq0MJR+KTsr6avzPZKjuLeK7gkgnjSaGVSkk cihldSMEEHggjtXM/C3xTqfjb4faJrmsaTLoep3sHmz2E6FGiO4joSTggAjPOCMgHgdVWsJKpFSW zOerTlRqSpy3i2vmvM5H4U6JY+H/AAJp1pp9hb6bbAyOILaFYkGZGOdqgDnrmuuoopxioRUV0CrU dWpKpLdu4VnwaWYfEF7qXmArcWsFuI8cr5bzNnPv5v6VoUU7EKTSaXUKKKKZIVkeL7CfVPCWt2Vq nm3NzYzwxJkDc7RsFGTwOSOta9FJq6sVGThJSXQKKKKZJ4JH+1bav+0Wfhb/AMI7clfNNr/aay5P nCPzM+Vt+5j+LPvjHNe4ajpyalHCrsyeVNHOCvcqwIH6Vz8XhzSV+JlzrA0uzGrHTY4zfi3Tzyvm MNvmY3YwBxnsK6uuShCrHn9tLmu3bS1l0X/BPTxtTDSdJ4Wm4WiubW95dX5X7BUF9aJf2VxayFlj njaNivUAjBx+dT0V1nmp2d0cx4/+IGgfCfwlLruv3RstKtmji3IhkYliFVVUck/0BPavIPjR450P 4sfA7wjr2hXL3GlX/jbwuisyFJFI1+zRlZT0IIP6EZBBr1T4u+A9F+I3gDVdI160N5Y+UbhVWRkK yICysCpB4P5968v+KXw4s/CHwg+H3hjwlYG3sIPGvhy5NuZi52Jq9vczNukYn+B3xntgDoK5f3/1 i2ns7efNe/3Wt87notYT6lf3vb83ly8tvv5r/Kx9BUUUV1HmhRRRQAUUUUAFFFFABRRRQAUUUUAF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFAHgFr410vwR+1T8S7nxFdrpNnd+GfDsFlcTxuEuDHPqrShWwQSvnJ kDpuX1rat/2zfgPdbtnxg8Frt6+ZrcCfluYZr2WigDE8HeNvD3xD0CDXPC+uaf4i0admWLUNLuUu IHKsVYB0JBIIIPPUVt14t8BNW1bV/hf421GxeO+1iTxX4oSyFziOJmi1S7ht0YqvC7YowTgnqTk1 zn7Ivin4teJB4pX4lQXQt7adY7Sa/s0t5TNlvNVQqqGQfLzjGTgHqBy1MQqdaFFxbcr6paK3d9PI 9KjgZVsLVxSnFKnbRv3nd20XW3U90urKaTxfpl2sZNvFY3UTyZ4DPJblR+IRvyrYoorpSsee5OSS 7BWT4ssX1Lw3qNrHF57ywsojOPm9ua1qKGrqwRk4yUl0CiiimSFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAfN37Sev/GrTfiR4PsvhzGn9i3eEbEKOktyC7Ms7OPkj8pc8EZw3OduPofUNTtNG06a/wBS urews7dDJPcXEoSKJR1LO2AAPU4qrrGmzX2oaHNHt2Wd408u44O0280fHvukX8M15n+1V8K3+LPw g1Kwi1OTTLjTidUiIyY5mijc+VIB/Cc9exCnBxg+bKFTDqtWg3NvVRb00Wy7XPfhVoY54XCVVGnG Okppau73l3stj1bda6zpx2SR3Vlcxkb4nysiMMcMD0IPUV5/8ark2kHgWGNVCTeK9OiIx0UMzcfi orX+Dvw7/wCFUfDXQ/Cp1CXVH0+Iq91L/GzOzkKOygthR2AFYfxq12DSNc+FVrMkjSap4vhtISgB CuLK8mJbJGBthYcZ5I4xkjupuUoKU1Ztart5Hj14whVlClLmim7Pa66O3S56fRRRWhgFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHzT8J/inZfBLwvfeG/F3hfxpYai3 iPXb/wA2w8JajqVu8VzrF7PCwntIZUJMTo2N2QCOK7HRP2kvhrpGj3t9q/iq28P2rXLXBk1yGXTx Gkz5jMgnRChO5eGwQSAQDXsteN/tl3C237JnxgdgSD4V1FOPVrd1H6mlYpSaTR7EjrIoZSGVhkEH IIp1NRFjUKoCqowABgAU6mSFFFFABRRRQAUUUUAFFFFABXif7VXxK8cfDPwbpd74G0o6jeXF75Fx ILR7nyUKNtO1Rxltoye+Bg549srL8SWc1/pDwwJ5kpkiYLkDgSKx6+wNc+Ipyq0pQhJxb6rdHdga 1PD4mFWrBTinqns/U+av2bP2vZfGOqT+GviPcWejeJp7uOHTIltZoWuC4JEbgqVQ5KhSWBbdjGcF vqmvANR/Zu8K+IvjD4a8U6rbXUGs26XN9IkEqpHPJb3EXkNJgZOBIOhGQqg8DFe/1x4COJpwlTxM lKz0fVrfXzPUzqeX1qsK2Ai4cyvKPRPb3fLS/wDVkUUUV6h86FFFFABVLWtMj1vR7/TpXaOK7gkt 3dPvKHUqSPfmrtFG403FpoK8d+PIjfx98BUfaxPjl2Ctz00LVucexx+lexV458bVjl+LX7P8TkEn xdeuFzgnboOqnP4HFAj2OiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAK4f426Xqes/CjxNZ6Np0mr6nLaHyLGKRI3nIIJRWcqu4gHG5lBOASOo7iigDzGx+Nd7ca Sl7d/DHx1pkhzus57G2lmT5sDIhuJFOeD8pPB5xyA/T/ANoDw9d+LbLw3c6R4t0jUb2cW1vLqfhf UILN5DGZAouzD5GSoP8AH1BHXivS68b+PiRTePfgJHJgn/hOncLnB+XQ9WIP4HFAHslFFFABRRRQ AUUUUAFFFFABRXyr+0R+1L40+CnxZ06wXw1EfBIEBlvp7Z2e8DENKIZA4UMq5UKwyGBJBUivof4f eP8ARfif4SsfEfh+4a50y73BGkQo6srFWVlPIIIP8xkEGuGjjaNetOhF+9HdPT5ruvM9jFZTisJh qWMqR/d1Nmndej7Py/yY34haXqt/4T1p/DjRw+KP7OuINNuXYL5cjqCOSCB8yIeR/CK8m/Y7sviT Z+B9W/4WHe3N5uvSun/b7oXNyoXKy7pN7ErvGFU8gq3Yivfqx/CejzaFowtLho3k+0XE2YySMSTv IvUDnDDPvmqnh1LERr8z0TVr6O/dEU8a6eBqYTli+Zxd2veVr7Pov833Niiiiuw8oKKKKACiiigD 5x/aw+Bfib4u6z4Mn0LxCmkw2l2IpIpZHXZISWW4TaOXQK2MkdeCMnPafEfwyb/4qfBGVrxy2i6r f3RMi7muM6TdQYJzwf327PP3cd8j03UdO/tCSybzPL+zXAnxtzuwrDHXj73X2rgfHfnN8Z/hcqbz EP7UkkC52jFsoDH/AL6xn/a965aeHhSqzrR3na/yWh6WIx1XEYajhZtctO9tO7u7vqel0UUV1Hmh RRRQAUUUUAf/2Q==