20260521 03391400 1.0 FALSE DEMOGRAPHY__census2020_tracts 002 1244782.763631 1622342.080690 284337.640439 477544.617870 1 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Washington_North_FIPS_4601_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/10.8'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Washington_North_FIPS_4601_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;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1640416.666666667],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-120.8333333333333],PARAMETER[&quot;Standard_Parallel_1&quot;,47.5],PARAMETER[&quot;Standard_Parallel_2&quot;,48.73333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,47.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2285]]</WKT><XOrigin>-117104300</XOrigin><YOrigin>-99539600</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102748</WKID><LatestWKID>2285</LatestWKID></ProjectedCoordinateSystem> {"type":"CIMLayerDocument","version":"2.7.0","build":26828,"layers":["CIMPATH=map/demography__census2020_tracts.xml"],"layerDefinitions":[{"type":"CIMFeatureLayer","name":"demography__census2020_tracts","uRI":"CIMPATH=map/demography__census2020_tracts.xml","sourceModifiedTime":{"type":"TimeInstant"},"useSourceMetadata":true,"description":"demography__census2020_tracts","layerElevation":{"type":"CIMLayerElevationSurface","mapElevationID":"{8FDF66EF-9BC6-4511-9A80-FB8ABC667F7D}"},"expanded":true,"layerType":"Operational","showLegends":true,"visibility":true,"displayCacheType":"Permanent","maxDisplayCacheAge":5,"showPopups":true,"serviceLayerID":-1,"refreshRate":-1,"refreshRateUnit":"esriTimeUnitsSeconds","blendingMode":"Alpha","autoGenerateFeatureTemplates":true,"featureElevationExpression":"0","featureTable":{"type":"CIMFeatureTable","displayField":"NAME","editable":true,"dataConnection":{"type":"CIMStandardDataConnection"},"studyAreaSpatialRel":"esriSpatialRelUndefined","searchOrder":"esriSearchOrderSpatial"},"htmlPopupEnabled":true,"selectable":true,"featureCacheType":"Session","displayFiltersType":"ByScale","featureBlendingMode":"Alpha","labelClasses":[{"type":"CIMLabelClass","expressionTitle":"Custom","expression":"$feature.NAME","expressionEngine":"Arcade","featuresToLabel":"AllVisibleFeatures","maplexLabelPlacementProperties":{"type":"CIMMaplexLabelPlacementProperties","featureType":"Polygon","avoidPolygonHoles":true,"canOverrunFeature":true,"canPlaceLabelOutsidePolygon":true,"canRemoveOverlappingLabel":true,"canStackLabel":true,"connectionType":"Unambiguous","constrainOffset":"NoConstraint","contourAlignmentType":"Page","contourLadderType":"Straight","contourMaximumAngle":90,"enableConnection":true,"featureWeight":0,"fontHeightReductionLimit":4,"fontHeightReductionStep":0.5,"fontWidthReductionLimit":90,"fontWidthReductionStep":5,"graticuleAlignmentType":"Straight","keyNumberGroupName":"Default","labelBuffer":15,"labelLargestPolygon":true,"labelPriority":-1,"labelStackingProperties":{"type":"CIMMaplexLabelStackingProperties","stackAlignment":"ChooseBest","maximumNumberOfLines":3,"minimumNumberOfCharsPerLine":3,"maximumNumberOfCharsPerLine":24,"separators":[{"type":"CIMMaplexStackingSeparator","separator":" ","splitAfter":true},{"type":"CIMMaplexStackingSeparator","separator":",","visible":true,"splitAfter":true}]},"lineFeatureType":"General","linePlacementMethod":"OffsetCurvedFromLine","maximumLabelOverrun":80,"maximumLabelOverrunUnit":"Point","minimumFeatureSizeUnit":"Map","multiPartOption":"OneLabelPerPart","offsetAlongLineProperties":{"type":"CIMMaplexOffsetAlongLineProperties","placementMethod":"BestPositionAlongLine","labelAnchorPoint":"CenterOfLabel","distanceUnit":"Percentage","useLineDirection":true},"pointExternalZonePriorities":{"type":"CIMMaplexExternalZonePriorities","aboveLeft":4,"aboveCenter":2,"aboveRight":1,"centerRight":3,"belowRight":5,"belowCenter":7,"belowLeft":8,"centerLeft":6},"pointPlacementMethod":"AroundPoint","polygonAnchorPointType":"GeometricCenter","polygonBoundaryWeight":0,"polygonExternalZones":{"type":"CIMMaplexExternalZonePriorities","aboveLeft":4,"aboveCenter":2,"aboveRight":1,"centerRight":3,"belowRight":5,"belowCenter":7,"belowLeft":8,"centerLeft":6},"polygonFeatureType":"General","polygonInternalZones":{"type":"CIMMaplexInternalZonePriorities","center":1},"polygonPlacementMethod":"HorizontalInPolygon","primaryOffset":1,"primaryOffsetUnit":"Point","removeExtraWhiteSpace":true,"repetitionIntervalUnit":"Point","rotationProperties":{"type":"CIMMaplexRotationProperties","rotationType":"Arithmetic","alignmentType":"Straight"},"secondaryOffset":100,"strategyPriorities":{"type":"CIMMaplexStrategyPriorities","stacking":1,"overrun":2,"fontCompression":3,"fontReduction":4,"abbreviation":5},"thinningDistanceUnit":"Point","truncationMarkerCharacter":".","truncationMinimumLength":1,"truncationPreferredCharacters":"aeiou","truncationExcludedCharacters":"0123456789","polygonAnchorPointPerimeterInsetUnit":"Point"},"name":"Class 1","priority":-1,"standardLabelPlacementProperties":{"type":"CIMStandardLabelPlacementProperties","featureType":"Line","featureWeight":"None","labelWeight":"High","numLabelsOption":"OneLabelPerName","lineLabelPosition":{"type":"CIMStandardLineLabelPosition","above":true,"inLine":true,"parallel":true},"lineLabelPriorities":{"type":"CIMStandardLineLabelPriorities","aboveStart":3,"aboveAlong":3,"aboveEnd":3,"centerStart":3,"centerAlong":3,"centerEnd":3,"belowStart":3,"belowAlong":3,"belowEnd":3},"pointPlacementMethod":"AroundPoint","pointPlacementPriorities":{"type":"CIMStandardPointPlacementPriorities","aboveLeft":2,"aboveCenter":2,"aboveRight":1,"centerLeft":3,"centerRight":2,"belowLeft":3,"belowCenter":3,"belowRight":2},"rotationType":"Arithmetic","polygonPlacementMethod":"AlwaysHorizontal"},"textSymbol":{"type":"CIMSymbolReference","symbol":{"type":"CIMTextSymbol","blockProgression":"TTB","depth3D":1,"extrapolateBaselines":true,"fontEffects":"Normal","fontEncoding":"Unicode","fontFamilyName":"Tahoma","fontStyleName":"Regular","fontType":"Unspecified","haloSize":1,"height":10,"hinting":"Default","horizontalAlignment":"Left","kerning":true,"letterWidth":100,"ligatures":true,"lineGapType":"ExtraLeading","symbol":{"type":"CIMPolygonSymbol","symbolLayers":[{"type":"CIMSolidFill","enable":true,"color":{"type":"CIMRGBColor","values":[0,0,0,100]}}]},"textCase":"Normal","textDirection":"LTR","verticalAlignment":"Bottom","verticalGlyphOrientation":"Right","wordSpacing":100,"billboardMode3D":"FaceNearPlane"}},"useCodedValue":true,"visibility":true,"iD":-1}],"renderer":{"type":"CIMSimpleRenderer","patch":"Default","symbol":{"type":"CIMSymbolReference","symbol":{"type":"CIMPolygonSymbol","symbolLayers":[{"type":"CIMSolidStroke","enable":true,"capStyle":"Round","joinStyle":"Round","lineStyle3D":"Strip","miterLimit":10,"width":0.69999999999999996,"color":{"type":"CIMRGBColor","values":[110,110,110,100]}},{"type":"CIMSolidFill","enable":true,"color":{"type":"CIMRGBColor","values":[252.449999999999989,201.960000000000008,189.34,100]}}]}}},"scaleSymbols":true,"snappable":true}]} 20221107 13095000 20221107 13095000 150000000 5000 FGDC XTools Pro Metadata Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 2020 Census tracts 1 -122.458844 -120.906848 48.309130 47.768162 2020 US Census tracts, useful for mapping and analysis of population in Snohomish County. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>2020 US Census tracts. Link to US Census TIGER/Line shapefile documentation:</SPAN></P><P><SPAN>https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.html</SPAN></P></DIV></DIV></DIV> Census demography US Census Bureau Feature Class dataset EPSG 5.3(9.0.0) 175 Simple FALSE 175 TRUE FALSE DEMOGRAPHY__census2020_tracts Feature Class 175 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 4 0 0 Feature geometry. Esri Coordinates defining the features. STATEFP STATEFP String 2 0 0 COUNTYFP COUNTYFP String 3 0 0 TRACTCE TRACTCE String 6 0 0 GEOID GEOID String 11 0 0 NAME NAME String 7 0 0 NAMELSAD NAMELSAD String 20 0 0 MTFCC MTFCC String 5 0 0 FUNCSTAT FUNCSTAT String 1 0 0 ALAND ALAND Double 8 38 8 AWATER AWATER Double 8 38 8 INTPTLAT INTPTLAT String 11 0 0 INTPTLON INTPTLON String 12 0 0 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 20221107 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAIXAusDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK+Xbv9uCBLqZbbwdJNbB2EUk2pCN2X PBZREwUkYyATj1PWov8AhuL/AKkr/wAqv/2mgD6nor5Y/wCG4v8AqSv/ACq//aa6r/htLwT/ANAv X/8AwHg/+PUAe+0V4F/w2l4J/wCgXr//AIDwf/HqP+G0vBP/AEC9f/8AAeD/AOPUAe+0V4F/w2l4 J/6Bev8A/gPB/wDHqP8AhtLwT/0C9f8A/AeD/wCPUAe+0V4F/wANpeCf+gXr/wD4Dwf/AB6j/htL wT/0C9f/APAeD/49QB77RXg9p+2X4GuLqGKSy1u1jkdVaea2iKRgnBZgspbA6nAJ44BrpP8AhqD4 Zf8AQzf+SF1/8aoA9Uoryv8A4ag+GX/Qzf8Akhdf/GqP+GoPhl/0M3/khdf/ABqgD1SivK/+GoPh l/0M3/khdf8AxqprT9pf4a3l1Dbx+J41kmdY1aa0uI0BJwNztGFUepJAHUmgD06ivO9a/aE+HWg3 SW9z4qs5ZGQSBrJXukwSRy8SsoPB4Jz0OORWf/w1B8Mv+hm/8kLr/wCNUAeqUV5X/wANQfDL/oZv /JC6/wDjVdLafGDwNeWsNxH4w0RY5kWRVmv4o3AIyNyMwZT6ggEdCKAOvorlf+Fr+Cf+hx0D/wAG kH/xdH/C1/BP/Q46B/4NIP8A4ugDqqK5X/ha/gn/AKHHQP8AwaQf/F0f8LX8E/8AQ46B/wCDSD/4 ugDqqK5X/ha/gn/ocdA/8GkH/wAXWhovjbw74kunttI1/S9VuUQyNDZXkczhQQCxCsTjJAz7igDa ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooA+SP2oPgJBocep+O9Hmk8ie5WS/sXAIjaRiGmVy2cGRkGzBw XJBCjA6T9nvQfDPjT4Y2dzfeGtLu72znksbi5uNNgzIy4ZTkLk/u3QEnkkNnPU+v/Gjw1/wl3wr8 T6YI7iWV7N5oYrUbpJJYsSxoBg5y6KMAZIJAwea8D/Yy8XW6r4g8K3moRxPctHd2Fo4AMjhWExVs ckKsR256KSBgMa58RSdWFk7M0hLld2ew3Xwq8GXltLA/hXR1SVCjGKxjjcAjBwygMp9wQR2rnv8A hnH4d/8AQvf+Ttz/APHK9MkjaNyrDaw6iq97dLZWsk7chBnHqew/OvmlUqxdlJnoKCk0kjyXxD+z 34DsYY5oNEMYLbCn2ucjoTnl/asvTfgR4KvLyOM6KSmct/pU/Qf8D/D8a7a6vZ71908jSHtnoPoO 1aXhqMGWeTnKqFH4/wD6q9LnqQhrLU9LF0oYTBTm4pyS3suuiOX/AOGd/h9/0L//AJO3H/xyj/hn f4ff9C//AOTtx/8AHK9Horl9tU/mf3n5x7Wp/M/vPOP+Gd/h9/0L/wD5O3H/AMco/wCGd/h9/wBC /wD+Ttx/8cr0eij21T+Z/eHtan8z+88w1H9m3wHfWckMOlz6fI2MXFvdyl0wQeA7MvPTlT19ea5v Uf2WfCNjYyz/ANoa0So4HnQ9TwP+WXqa9zqO4t47qFopV3Rt1GSO+a2o4iUakXUbcbq/p1N6Ndxq RdRtxur+nU+bv+GefDn/AD+6p/39j/8AjdH/AAzz4c/5/dU/7+x//G6+hP8AhHdP/wCff/x9v8a4 uvv8DVwWP5vZU7ctt/O/m+x+gYGpgcw5vZU7ctt/O/m+x5f/AMM8+HP+f3VP+/sf/wAbqC9/Z30W S2dbTUr+C442yTbJEHPOVCqTxnuP6V6vRXqfU8P/ACHqfUcM9ORHjdl+zjbR3KNd67LPb87o4bYR ueOMMWYDnHY/1rU/4Z58Of8AP7qn/f2P/wCN16hRSWCw8doCjgMNHRQPL/8Ahnnw5/z+6p/39j/+ N1if8M3f9TF/5I//AGyva6KTwOHlvD8xSwGGlvD8zxT/AIZu/wCpi/8AJH/7ZR/wzd/1MX/kj/8A bK9roqf7Pw38v4v/ADJ/s7C/yfi/8zxT/hm7/qYv/JH/AO2Uf8M3f9TF/wCSP/2yva6ACegzR9Qw 38v4v/MX9nYVbx/F/wCZ4p/wzd/1MX/kj/8AbKg1D9mrVFSJtP1i0ud2d/2qN4dvTGNu/OefToOu ePcgCxAHU1oRqVjAY5IrOeBw9tI/izycxw9DDwXs1ZvzZ84f8M2+Jv8An+0n/v8AS/8Axuj/AIZt 8Tf8/wBpP/f6X/43X0jRWH1CieAfN3/DNvib/n+0n/v9L/8AG6P+GbfE3/P9pP8A3+l/+N19I0Uf UKIHzd/wzb4m/wCf7Sf+/wBL/wDG6P8Ahm3xN/z/AGk/9/pf/jdfSNFH1CiB83f8M2+Jv+f7Sf8A v9L/APG6Rv2b/EyjP23Sj/22l/8AjdfSVNdgo55o+oUexnUlywbbsfNn/DOniT/n90r/AL+y/wDx uj/hnTxJ/wA/ulf9/Zf/AI3X0W2M8HIoq/7PodmfOvH107XR86f8M6eJP+f3Sv8Av7L/APG6P+Gd PEn/AD+6V/39l/8AjdfRdFH9n0OzD+0K586f8M6eJP8An90r/v7L/wDG6P8AhnTxJ/z+6V/39l/+ N19F0Uf2fQ7MP7Qrnzp/wzp4k/5/dK/7+y//ABuj/hnTxJ/z+6V/39l/+N19F0Uf2fQ7MP7Qrnzj P+zx4mhgkkS502dlUsIo5nDOQOgygGT7kD3rR/sv41f9BjX/APwff/bq99oqXltF7XQ1mNZdjwL+ y/jV/wBBjX//AAff/bqP7L+NX/QY1/8A8H3/ANur32il/ZtHu/w/yK/tKt2X4/5ngX9l/Gr/AKDG v/8Ag+/+3Uf2X8av+gxr/wD4Pv8A7dXvtFH9m0e7/D/IP7Srdl+P+Z89rrvxm8J6rDMNQ8ST3CKW UGd7+HBBX5lJdCevBGRwfQ1q/wDC5vjj/wA9dV/8EcX/AMZr2+ioeWQ6SZazKfWKPFLT9qP4n+EZ 5YdZjt72aZVdI9X0/wAlo1BYZUR+XkE+ufu8Y5za/wCG0vG3/QL0D/wHn/8Aj1ew0Vm8rXSf4f8A BLWZvrD8f+AePf8ADaXjb/oF6B/4Dz//AB6j/htLxt/0C9A/8B5//j1ew0Uv7L/v/h/wR/2n/c/H /gHj3/DaXjb/AKBegf8AgPP/APHqP+G0vG3/AEC9A/8AAef/AOPV7DRR/Zf9/wDD/gh/af8Ac/H/ AIB49/w2l42/6Begf+A8/wD8eo/4bS8bf9AvQP8AwHn/APj1ew0Uf2X/AH/w/wCCH9p/3Px/4B5x ov7bmqQWrrq/hazvrneSslldPbIFwMAqyyEnOecjqOOMnQ/4bi/6kr/yq/8A2muivvCmialdPc3m j6fdXD43TT2qO7YGBkkZPAA/CoP+EF8N/wDQvaV/4BRf/E1H9mT/AJi/7Sj/ACmJ/wANxf8AUlf+ VX/7TR/w3F/1JX/lV/8AtNbf/CC+G/8AoXtK/wDAKL/4mj/hBfDf/QvaV/4BRf8AxNH9mT/mQ/7S h/KzE/4bi/6kr/yq/wD2mj/huL/qSv8Ayq//AGmtv/hBfDf/AEL2lf8AgFF/8TR/wgvhv/oXtK/8 Aov/AImj+zJ/zIP7Sh/KzE/4bi/6kr/yq/8A2mj/AIbi/wCpK/8AKr/9prb/AOEF8N/9C9pX/gFF /wDE0f8ACC+G/wDoXtK/8Aov/iaP7Mn/ADIP7Sh/KzE/4bi/6kr/AMqv/wBpo/4bi/6kr/yq/wD2 mtv/AIQXw3/0L2lf+AUX/wATR/wgvhv/AKF7Sv8AwCi/+Jo/syf8yD+0ofysxP8AhuL/AKkr/wAq v/2mj/huL/qSv/Kr/wDaa2/+EF8N/wDQvaV/4BRf/E0f8IL4b/6F7Sv/AACi/wDiaP7Mn/Mg/tKH 8rMT/huL/qSv/Kr/APaaP+G4v+pK/wDKr/8Aaa2/+EF8N/8AQvaV/wCAUX/xNH/CC+G/+he0r/wC i/8AiaP7Mn/Mg/tKH8rMT/huL/qSv/Kr/wDaaP8AhuL/AKkr/wAqv/2mtv8A4QXw3/0L2lf+AUX/ AMTR/wAIL4b/AOhe0r/wCi/+Jo/syf8AMg/tKH8rMT/huL/qSv8Ayq//AGmj/huL/qSv/Kr/APaa 2/8AhBfDf/QvaV/4BRf/ABNH/CC+G/8AoXtK/wDAKL/4mj+zJ/zIP7Sh/KzE/wCG4v8AqSv/ACq/ /aaP+G4v+pK/8qv/ANprb/4QXw3/ANC9pX/gFF/8TR/wgvhv/oXtK/8AAKL/AOJo/syf8yD+0ofy sxP+G4v+pK/8qv8A9po/4bi/6kr/AMqv/wBprb/4QXw3/wBC9pX/AIBRf/E14h8YPEeiWt9deHtG 0HSofKwtxfRW6CQOCrbYyvTGNrZ5yWGBjJ562CdCHNKRtRxnt5csYn2D8HfinB8XfCT6zFp8mmSQ 3L2s1u8gkAZQrAqwAyCrr1A5yO2T3VeL/sk+Gr7w78JUmvY/K/tS9kv4I2DBhEURFLAgfe8ssMZB VlOea9orzT0gooooAKKKKACiiigAooooAKKKKACiiigAr4++OH7Nk/w9jHivwTLeNY2jm4uLcSEz 2OGLLLEwwxReOuWXaGJYZK/YNFAHzR8Kf2oLLxULfS/Fpg0rVI4cf2q8ix292wzneMARNtA77WO7 G35VPqXiy6TyYrfnzNwk6cAYI/z9K8d/aI/Zq/5Dvjbw9c/3r6/0yb/gTTSxyE/8C8s/7W0/dSuc +BfxKu9ejbQdXvopJbSCKLTUMYRzEikFAQAG2gKefm5Y5IHHmVsMuf2sfmetl9Re2jGXyPX6ntb6 az3eS+zd14B6fWoKKx33PrJ04VIuE1ddmXv7bvf+e3/ji/4Vp6HeXF5JKZZdyoANu0Dk9+Pp+tc9 W94ZjYR3D4+UlQD7jOf5isqkUouyPns2w2Ho4Oc4U4p6dF3X6G1RRRXEfnIUUUUANkTzI3TcybgR uU4I9x71zmq+H7exsJZ43lLrjAYjHJA9PeulrO8Rf8ge4/4D/wChCvWy3EVaWIhCErKUlfz1PWy3 EVaOIhCErKUlfz1OLooor9VP1cKKKKACiiigAooooAKu26qIwV79ahtY1k3bhnFWY4xGuBWU30Pm 80xEZJ0Fe6t6Mja1VmyDgZ5FTUUVldvc8KpWqVUlN3sFFFFIwCiiopZOw/GmtTnr1o0Ic0iWmvIE HqfSohMwXHWmEljk9arlPNq5hHk/db/kSec2TTGct1pKKqx5E69WouWUm0FFFFMwCiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACvmr4paHqHw9+IUeu2Uvli4uv7RsrglXZJlZXYFSMfK5BAIIII6n NfStcP8AFnwD/wAJx4f/ANGTdq1nl7TMm1WyRvQ545A4zjkDkDNcGMo+2pO262O7B1vY1VfZnvPw k8bT/Eb4d6N4hubaO0ubxHEsULEpuSRoyVzyAShIBzjOMnGT19fIP7Lfxg1HQfE1t4E1yYRaVIJI LKOaJI2trnezlGY7T85Lrg7jvKAY5r6+r5M+qCiiigAooooAKKKKACiiigAooooAKKKKACiiigAr 4M+K3hHXvgn8Updais7Wzsrq/ubjSjDsaF4ScmPyxgoFWUIRgd9p4Br7zr4g/aq1CbxR8cDpNta4 uLO3ttOj/eD98z/vQecBeZ9vJ/hznnALX0HGTi01uj2LQtZGtaJYagYvI+1W8c/lbt23cobGcDOM 1o7htB6D3rM0nT4tH0yzsYSzw2sKQIZCCxVVCjOB1wPStKO6ENxDIBu8tw+OmcHpXoYjK4qcIUov Xd30Vlt8/M96hmU/ZTnUabWy6sdW74ZY7bhcnAKkD86z4JtPvGZHRrIkDY28suffI9x+Xat+xsId OUKCDIxxubGTx0HtxnFfMYqjVw/uVYtP+uuxx5nmlDEYWVJJqTtuvO/oXKKKK8s+HCiiigChJrtj DI8bz4dSVI2N1H4VQ1nWbO602aKKbfI23A2sP4gfSneIdFa6/wBJgGZVGGQDlh6j3rlq+3yvLsHi IwxFOT5otNq60a+Wx9xleXYLERhiKcpc0Wm1daNfLYKKKK+0PtQooooAKKKACxwBk0C21ZJbxiST B6AZq0bdC+7H4dqS2UpHgjBzmpawlJ30Pj8bjKkqz9nKyWmjCiiiszyAooooAKKKbJJsHvTInONO LlLZDZZNvA61DQSWOT1orRaHyeIryrz5nt0CiiimcwUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQB5D8aPhbHqkF94msZGS9hh8y5tzgrMqADcCSNpVAcgZztGBnOfRv2PfiNde IvDmo+GtRuvPn0nY9mZpgZDbMCuxVxkrGyjnJwJVXgBRWpPBHdQSQzRrNDIpR45FDKykYIIPUEV8 7+Bdeu/gN8ZYke9hNmksdpfztCXVrOQo7NtHzBgu1vlz8y4+YZB+dzGgoSVSK339T6HL6znF05Pb b0Pvyis/QNf0/wAUaPaarpV3HfafdJ5kM8Z4YdDweQQQQQcEEEEAitCvGPXCiiigAooooAKKKKAC iiigAooooAKKKKAOa+InjvT/AIb+Er7XNRkjCwoRBA77TczYJSJSATliOuDgZY8A18gfAzwXqXxH 8Yar4t1ALcfZ5muGkkQKs93ISxIG3blclsAjaWjPStz9rLxHceNPilpPhCwtt82mhYE3YVpbi58t sBi2Nu3ygMhcHfnjBr33wJ4LsfAPhey0ewjjAhQGaZE2m4lwA8rck5Yjpk4GAOAK4cVjHhOWUPiM qk+VaHKUVa1K2+x6hcQ7diq52rnPy9R+mKq1+kU6iqwjUjs1f7xBXaaWtq0fmQt50pADzMDubtnn nHH04ri6s2N8+nz+aiI74wN4zj3FeXmeCljKVoSs19z9TCtTdSOjO6pAwYkAglTg+3euZbxTJJbP G0IEjKR5iORjPQgf/XrNsNQl0+YPGx2kjevZhnp/9evlKeQ4mUJOejWy7/PocSw02nc7misqz19L 68SCKJgpBJZ2AIx6DvWrXg18PVw0lCqrN6nNKLg7SCuL8QW/2fVJcLtWTDjnOc9T+ea7Suc8XW// AB7zhfVGbP4gf+hV7WRVvZ4xRe0k1+v6H0GQ1vZYxRe0k1+v6HO0UUV+kn6WFFXNN083smWBES/e YfyFF1cJeMqQWoQgnG0cn8BXP7Ze05Er238jynmEfrTw1OPNyq83dWje9r3fW3Tbcp1ct4fLXcQQ xFOtbIrJ+8HzKpcoTggAZ/PFbVr9kfS7iQRqHAIO47mB7duOvavNxeZUqE40l7zl29bHHjK8sRTa ov3Fu+/p5eZk0UUV3nzAUUUUAFFFFABRtGc45oooE0nuQyx4O4dO9R1ZZdw64quylTg1omfN46h7 OfPFaMSiiiqPMCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuE+LnhPRdY 8L6hqeoRLFe2Vq5t7sPsYMOVQ9mBbAAOfvHGCc13dee/Hazlufh3dyR3DQLbzRSyRrnEylgmw89M sG78oPqObEW9lK6vodGHv7WNnbUi/Ynu9afXvENsk0jeHY7ZZJoSy7FumdRGwB5BKJKCRwdo3dFr 63r40/Zv+OXhP4W6Dd6ZrNneJfX2oCR9QtrdHRYdiKu9twchT5jYCnG44BJIr7Lr40+wCiiigAoo ooAKKKKACiiigAooooAKKKKAPhbQtJh1v9qy9t52kRE8Q3tyDGQDuikllUcg8FkAPtnp1r6+r5F/ ZOtYbj4l3byxRyPDpkskTOoJjbzIl3Kex2swyOzEd6+uq+YzKV6yXZHHWfvGD4o0t7pI7iFGkkT5 GVRkle35H+ftXJV6XXBa1cRXGpzvCqqmcZX+I92/E19dw5jqlWLwsldRV0/ns/0HTk9ijRRRX2xs FFFFAHVeD7pZLe4s+km7zQfUcA/lgfnXRx24XBJya4fwv/yHLb/gX/oJrvq/IeJYPC45qm9JpSfr qv0uHs4TfNJaoZ5Kf3R61V1HTIb632NGGKneo7ZFXaK+VpYirRmqkJNNGjpxs0tPTR/JnK/ZYdmz yk2Zzt2jGfWsC8sZlupQkLFN2RsU4wea7HVLcxzeYPuv6DoapV+p4DMHyKtDVSR8dg81xWRYmpFr nvpq38mVtOtza2aIwAfq2KmWNI2YqiqW5JAxn604kKCTwKqSapFGxBDHnGQBj+dWo1a8pSir33PD qVMRjKtStu5O7ttq7/8ADGdqDBryUjkZx+QxUml30djM5lj8xHXacdcfToa6PTfDtszRXrsZfMXz PLdRt+bJ5H0I/EVqtpto0ez7LDt5IHljgnqensPyr4atiUqstOp+10MfQo4Wnh0m0opfcrHM3mhO GLW3K/3WbnOe3tWSylWIIwRwQa7KfMe/YN5XOFzjPtXHSO0js7HLMck19/kuMrYqElVd1G2vX5nm V4RjZx6jaKKK+kOUKKKKACiiigAprRh+TTqKZE4RqLlkrogaIr05FMwemOatUVXMeXPLYSd4OxVo qdoQ3PQ1G0JXpzTujzKmCrU7u115DKKKKo4QooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKjngjuoJIZo1mhkUo8cihlZSMEEHqCKkopAeIfGT4U2Wn6QNY0DT/IMMjveQwbiNjc7wC2FVSOi jGGzwFrU+F37XGoeD9H0/RNc0iPVdPs0itobq1fyZ44VyDlSCshC7Qo+T7vJJOa9brjviB8OLDxn pF4sVta2+sSbXivmiw+5cABmHJUqNvOcZBwcCvGxWA5250tPI9jDY7kShU18z6R0DX9P8UaPaarp V3HfafdJ5kM8Z4YdDweQQQQQcEEEEAitCvgb4QfEzxJ8N/iBpGkXGryW2jx3wsL2xvbgtaQRvKBK wBbahUlm3jHIOcgsD98189sfQbhRRRQAUUUUAFFFFABRRRQAUUUUAfDX7L0y6H8WbvT9QWSzvZrK e0W3mjZXEyujsjDHykLG+c4+7jrxX11Xyb4pt28F/tbMmmzyKZtagd3kCscXQRpl6Yx++dR3Axzk Zr6yr5nM42qqXdHHWXvXKmrTPDp8xjBMhXau04IJ4zntiuIj0+Z5ChXYQM5bp+dd3fx+ZZyjOOM/ lzXPV9Xw3OMcPPlWt9fu0/UiMrIx7rT2t4w+7d2OB0qpXR1FJawy/ejXOc5HBr66Nb+Y0U+5g1oa Vos+seb5LRr5eM+YSOufQe1PbSQWJEm0Z4G3p+tb3hm1GnxzsH8wyFQVxjGM+/v+leXnGPlgsFOt RfvaW0v1X6XNFOPU1dP0uCzhg/cQi4jQKZFQZJxgnOM1dqH7QOMA0v2hcjg4r8Tq1p1pudR3bNfa Q7ktFN8xf7w/OnA55HIrE0uijrOFsi7HCowJ/l/WsD7dB/f/AENbuuKZtMmjjBdztwq8k/MO1clN Z3FuoaWCSJc4y6EDNfo/DlOlWwrVSVnzNJXXZHzuPy+liavtJN7dP+GIajm7VJTJFLEBQScE8D05 NfoRdT4GdN4R1IyRtZMCTGC6NxjGRkfmf1rdulLRcDODk1w+g3a2eqQO7FYydrc4GCMc+2cH8K7u X/Vv9DX5dn2GWGx3PFaT1+fX/P5no4Go2l5GfXP61YpaskkSkK5OR/COnT9a6CmTQrcQvG4yrDBp YDGSwdZT6dV/XY+kqQ9pGxx9FSXEJt55Iz1U45GM+9R1+nxkpxUo7M8jbQKKKKoQUUUUAFFFFABR RRQAUUUUAMaMNk9DUFWqryf6w4q4nhZhRjFKpFWG0UUVZ4gUUUUAFFFFABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFcr42+JGj+A/s6ag0s1xNyttaqGkC8/OQSAFyMdeT0zg4iU401zSdkXGMpvlir s8s/aL8PfZtX07WYo8JdRm3mKRYG9OVLN3ZlOADziPv2+s/gt8QoPiV8PdN1RZ5J76FFtdQaSIRn 7UiKZDgfLhtwYbeMMOhBA+WvG3xo8N+LPCuo6ULXVY3uI/3beXEAHUhkyd5+XcozxnGa9C/Yh1S6 m0vxbpzy5srea2uIo9o+WSRZFc5xk5EUfBOBt46nPyuM5HVcqbumfUYPnVJRqKzR9O0UUVwnaFFF FABRRRQAUUUUAFFFFAHzF+2D8KY7ixTx3YLtng8u21GNVRVeMkqkxPBLBikZ+8SCnQIc9T+z74yu PGnw1tJr2ee61CylezuLi4xmQrhlOR975HQEnkkHOep9f8VeGrHxj4c1HRNRj8yyvoWhkwFLLkcO u4EBlOGU4OCAe1fFXgrWJ/2efjLqWjaxPIdLWQ2l3Iqk7oyA8NxsViAcFWx8xVXcAbq4MbR9tS03 WplUjzRPrm8YLazZOPkI/Sudrob5BJZyg/3c/lzXPV3cO29jPvf9DjQUUUV9YMKtaaxW7UDowIP5 VWALEADJNaWm2ZT97ICrdFU8fjXiZxiKVHB1FUesk0l5vb/MRoUUUV+OEhRRRQA6H/Wp/vCtOspW KsCOo5rVpM9LCvRoKrXRO8DtirNVbr/WD6V3YH+Mh4z+CyGpBIPLKnPTFR0V9BOCqKzPDp1JU3zR IGUqcGkp8v3vwplYvRn2WHm6lKM5bsrXmnw320yAhl6MvB+lYl9pMtqzMimSHqGHUfX/ABrpKK9X B5nXwlknePZ/oOpRjP1OMoq7q1r9nvG2psjblcdOnP61Sr9Go1Y16casdmrnlSi4tphRRRWxIUUU UAFFFFABSMwXrS1DcZWTafQH8xmhWvY5cVWdCk5rcRpi3TimUUVqfLVKs6rvN3CiiimZBRRRQAUU UUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRXD/GPWNW0LwPcXWkt5L+Ykc86kB4omyCynPDbiq5GSNxI xjIzqTVODm+hdODqSUF1PP8A4rfErXbrxXJ4b8PzSRojpb/8S8757iZtp2qVG4EN8m1eSdwOc4Dt L/Zr+J/jqeK51WL7EGtw8d1rd7ubaSCIyq75Fb5idrKMYOcHg9V+yj8G9I8WQ/8ACZanPcSz6XqY S1s4yEj8yNEkDuerfM6kAYGU53A4H15Xx9atOtJykz66lRhRioxR4PJ+xx4KubWwWS61S2uYbaOG 4ksplVLiUD5pisiyFSx/hB2jjA7n2Pw14V0jwdpcenaJp1vplkmD5dugXcwULuY9WYhRlmJJxyTW rRWBuFFFFABRRRQAUUUUAFFFFABRRRQAV8+ftefDOfxN4YtvFFgkbXOio4uo1gLSzW7MvO4DOIzu bB4Cu7ZGMH6DqG7tYL+1mtrmGO4tpkaOWGZQySKRgqwPBBBIINAHz1+zP44l8XeBJdMvpY5bvR2S 1VVjKn7MUAiLHoT8rrxzhBnk5Ppk1qsL4KLjscV8k+JfD+v/ALNfxUiuYFn/ALNMzPaSiQbb6z3j dE7bcbtu0MNvythgMbCfqrwt4u0rx/4bh1fSZ/Ot3GCrDEkLgAtG4zwwyPbkEZBBPn0qksBibr+H N6+T/r8DwsywsqlNyg7Nf1YseUn9xfyo8pP7i/lT6K+suz4b2tT+Z/eRrCisGC4YHIqx9ok/vfoK jornq0KVdp1YKVu6T/M0+s1/5397JPtEn979BVW+vp4dmx8ZzngVNWXeSNJMQRgLwB/Wpp5fhJS/ gx/8BX+R7WUyrV8SuabaV73fyJP7Uuv+ev8A46P8KfHrFwq4O1/dh/hVGiumWWYKas6MfuS/I+15 I9jQ/tuf+5H+R/xrrLi4jtYWllbai9TjPtXB1cv9Yn1FUWQKqqc4TIB+vP8AnNfM5tkPtvZ/UoJW vfp2t+prGFRU5vDxvLsdhb3Ed1CssTbkbocY9qhuv9YPpXHQzvC26KRkbGMqcGt3R5pJrZmkdpG3 kZYknoK+Pw+HlRre9p6nz/8AacsQvYVKbjIvUUVzpJYkk5Jr6vBYP65ze9a1uncSVzdl+9+FMrIh k8uZGzgA8/StcHIyORXNj8E8HJa3T8rH1WAqqdLk6xCiiivLPSKWrWn2q1baMyJ8y+vuP8+1czXZ 1y+oafJYvkjMTH5W6/gfevsshxStLDzfmv1ODEw+0ipTlRpDhRk9adbw+dIF6Dqa0kjWPO0YzzXq ZhmkME/ZxV5fh8ww+Fdb3m7IoLZSnqAPqaa1vIuflzg445rTor56OfYlO8opr5/5noPAU7aNlCGz aQEv8o7etSLp47vz7VborlqZxi5ybjKy7I1jg6UVZq5TWwO5csNvcVP9ljLu7qrsx7ipaK5K2YYm vbnltppp/XT7i44WjH7Nyq+mQNjAZP8AdP8AjVeTST/BIDz0YYrSoralmuMpbVG/XX8zjq5Vg6u9 NL00/IxBYzliPLOR7imNbyrJsMbbsZwBmt6ivVjxFXv70Fb5/wDBPKlw7Qt7s3f5f8A50gqSCMEU Vt3lqLqMDOHX7prKezmjYr5bHHdQSK+kwOaUcZC7fLLqrnzeOyutg52S5o9HYhopWUq2CMGkr2E0 1dHjtNOzCiiimIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKw/G3h3/hLPCuo6UH8t7iP922cAOpDJk4Py7lGeM4z W5WbqXiTSNHnWG/1SysZmXeI7m4SNiuSM4JHGQfyqJ8ri1LZlw5lJOO6PHf2dPiNq/w3+JNv4Zu3 kOl6lfCxurHiQR3BPlpInzAAh9oYgkFQeCQuPuSvzu+KkNppHjj+1/D+qwypcuLxJrC6DPbzhssc qxYHdhwePvYH3a+yPgH8UL74teB5dW1Gzt7O9t72S0kFqW8t8KjhgrEleJAMZPKk98D4upD2c3Hs fY05e0gpdz0miiiszQKKKKACiiigAooooAKKKKACiiigAooooA5r4ieBNP8AiR4SvtD1GOMrMhME 7puNtNghJVAIOVJ6ZGRlTwTXyT+z340n+HPjzUPCGueZBHeXP2TygTIIL1X8sD5WKgNypYA5Kx8h QTX23XyH+194HvdB8YWHjjTl+zW935UEtzDOwlS8QMUbGflzGi4K9DGc4JBbGtTVaDg+pMlzKx9A yWzx8kZHqKirL+F/ih/Gfw/0PV5Wke4ntws7yIql5UJSRsLwAXViMY4I4HSti4UJMwHStMvx9TET lRqr3l2+4+BzDAxwqU4PS9iOiiivdPECqOpKMocfMeM1eqjqRH7sd+a0p/Ej18pv9chbz/JlKiii u4/RAp5jH0plS18tneIrYd0nSk1v+h4Ga4qvhXTlRm477fLfuRopGeK3NFlSO1YO6qd5OGOOwrMC ZUc05V21pUyyGLq/WpTacktPkjvxWCc5/X5PWSWnTZHRqwdcqQw9RXO0UV3YPB/VOa0r3t+pxpWC tOxk8yHHdeP8P8+1Zla2hxiVLhT/ALPP51hm8IywkpPpb87fqd2Eq+yqp9GS0qqWOAMn2p7W7rIV ALY7gU63jZpgcEBTyf6V8EfTupHlckyytujQqpGDjPvmqk1qyqQyh1I57itGikm0eRDETg31RzkX h9GvUaPdHGud/PToAB+tJqkcUNz5UKbAo55JyTz610gULnAx3rlLpxJcyspyrOSD+NdFWvUxDTqO 7SsengZOpUbWiXTzIqKKKxPbCiiigAooooAKKKKACiiigAooooAoNZRwtNLOd6dR681VuLmKb7sO 3AwvOB19Kn1bflDn936e9Z9fo2W0XiKUcTWm2+lm0lbTZW17n5zmVZYerLDUYJLrdJt313d9OwUU UV9EfOhRRRQAUUUUAFFFKql2woLH0ApNpK7Gk27ISinPG8eN6Muem4YptKMlJXi7ocouLtJWYUUU VRIUUUUAFFFFABSqpZgqglicADqauaLCJtRiVkEiYJYEZHQ9fxxXVJbxRtuSNFbG3cqgHHp+lebi casPLktd2JcrHEspVirAhgcEHqKSu0msrefcZIY2ZhgsVGfzrMuPDUbMDDI0YJO4Nzge1ZU8ypS0 noLmRz1FXdS0p9PwS6uhOFPQn149v6iqVenCpGpHmg7osKKKK0AKKKKACiiigAooooAKKKKACiii gAooooAKKKzfEWvWnhfRbrVL4sLa3Xc3lruYkkAAD1JIHPHPJA5pNqKuxpOTsi9PcR2sEk00iwwx qXeSRgqqoGSST0AFfLHiKef4sfEM/wBgaXcyXuousUVqXVmcqu0N0AQbFBOSQuGJbHTf8XfGbVvH llFomlabJYteOIXjt5DNNcbiAsS4UHknBABLZA6ZB9//AGWfg9rvw3/4SC/8Sabb2V7d+VBbDzI5 ZljXc0nzISArEpxuyTHyOFJ+bx2KjWtCnsfRYLCyo3nPc4vSf2LdSs/GVm17rOn6h4ZimR5/llju J4wAWTYOF3HK5EmQDu6/LX1DoGgaf4X0e00rSrSOx0+1Ty4YIxwo6nk8kkkkk5JJJJJNaFFeSeqF FFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXnf7QXhiDxV8IfEkMvlpJZ2zahDK8QkKNCPMO3J G0sqsm4dA569D6JRQB8j/sh+KFa21zw5I0aurrqEChG3sCBHKSemBiLA4PzHr2+iJoBMPRvWvkz9 n9Z/A/x0u/D9ykdxcst3pcssLnYrRHeXXIywJgIGcfez2xX1xXzGMlPD4r2lN2e552JpRqXhNXTM ySJomww+lMJwMngVc1HEduZWz8np7nFZX9oR/wB1vyH+NfZ5fiJYygqjWuz/AK9LHx1fLa0ajVKL cRq6ipbBUhfWqc0nmTO2cgnj6UTbDISmdp56dPamV7sYqOqPr8Jg6FB+1pRabWzCiiitD0wrbhsY jGvmRYfv8xrFVdzADqTitr7U/oteDmboqUPaq+/S/Y+azizdNPz/AEJWsYSoABX6GoZNNO792wx/ tH/61TrMzxjt9KnhzsyTmvNlmqv7Oj0+46Y08ZTwsa1Wp7r2T19DntXuk0XyvPDP5mceXz0x649a zv8AhJrX/nnN/wB8j/Gp/H3/AC4/9tP/AGWuSrP+08R3X3H3mU5PhcZgqdeqnzO/Xs2jpv8AhJrX /nnN/wB8j/Gt7wvr1vcfadqSDbt6ge/vXnddP4L/AOXz/gH/ALNV08TUxslh63wv9Nf0NMzyjC4L CTr0k+ZW692kd1/akX91/wAh/jQNShGflfnk8D/Gsuiuv+ycN2f3nwft5mp/akX91/yH+NUmvZmk DlzwfujgVBRXRRy/D0buMb376kSqyluy68x1G2ktzK9vK/3ZIcgjof8APtXDtPd6fdPHKWEicMkh JFdbHIY5FYYyDnkVgeLpEm1YMkbR/ulyWXG7rz78YGfavKxWFhQqe5H3Zfgz67IMQ5TlQkrp6k1n dC6hDcBxwyjtU9c/Y3P2W4DEfKflPsPWugVgwBByDyCK8CvT9nLTZn0lan7OWmwUUUVzmAUUUUAF FFFABRRRQAUUUUAQ3cJuIGQY3diaz30yVVGAHbP8J4H51rUV6uEzPEYOPJTta99TycXllDGS56l7 2toc/LE8LbXXaaRY2kOFUsfYZrocDOcc0iqFzgAZOTgV7q4ilya0/e9dP6+Z4b4djz6VPd9Nf6+R z1FbtxbpcrtcdOhHUVXj0qJWyxZxngdK76Wf4aUOaomn23/HT9Dgq5BiYz5abTXfb8Nf1MtVLthQ WPoBUy2M7LkRnHuQK14beODOxAp9e9SV51fiGfN+4hp5/wDAf6noUOHocv7+evl/wV+hm2ulnO6b p/dB/nWiiLGoVRhR0FLRXzuKx1fGS5qr07dF8j6LC4Khg48tKOvfq/mNliSZdrruFYVxH5Mzp6Hj 6dq36intY7j765OMAjrXfleZfUZtVLuD/B9/8zhzTLfr0E6dlNfiu3+RhUVNcWr2zEMMr2bHBqGv 0anUhWip03dM/OKlOdGThUVmgooorUzCiitTQtPW7maSVd0UfY9C39f/ANVY1akaMHOWyE9C/wCH rPyrczvGVkckKxPVeO31rXoor42tVdabm+pi3cKKKKxEV7yxivoyrqN20hW/u5xz+grj5oXgkaOR SrqcEGu4rN1yzjntHmKt5kYyGUZOPQ+38q9bA4p0pezls/wLi7aHL0UUV9QahRRRQAUUUUAFFFFA BRRRQAUV514++NFh4L1N9MispdRv4tplXf5UaBlzjdgktgqcAYw3XIxXOXn7SFsdIDWujyrqjZBj mkBgTrhtw+Zv4flwvU88ZPHLF0INxctUdccLWmlJR0Z7RWH4s8Z6T4LsVudUufK8zcIoUUtJKQM4 UfkMnABIyRmvEtC0/wCLfxPaO70pNZuITESlzC4srZ1V9p2vlI2YMSOCW4P93jpfDn7KPj3xdrEs 3ie4XRY+PMu7u4W8nl+UgbVRznG1QdzLgEYzjFefUzNW/dx18z0KeWu/7yWnkVP+Glv+pc/8nv8A 7XXL+KvGWu/GTxFbaFo9nJLbTTgWWnoimR2AYeY7dvlLE87VA56Fq+w7T9n3wBb+GIdDk8N2d1BG iq13MgF3IQ24s064fJPXBAwdoAXitXwT8JPCXw5urm58PaNHYXNwgjkmMskr7Qc7QZGYqCcEgYzg ZzgY8upiq1SPLKWh6cMLRpy5ox1MX4PfBTSPhl4c01J7HT7zxJFvln1ZYAZPMcEFY3b5lUKdnG0E AnaCxFek0UVyHUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVwvxs8dv8OfhrrGsW 8kceobBb2e91U+c52qyhgQxQEybcHIQ9BkgA+WPhfdR+I/2nrrVdNEl3p8uoajeLOkbACF1l2OwI yoJdBzjlgOpr62r5u/ZF8I/8hnxQ8n/UNhjVv9ySQsMf9c8EH+/kdK+ka+VzGalXsuiscVV3kR3E K3ELRv8Adb0rEutFmi3NF+8TsP4sVv0UYPMa+B0pvR9HsTGbjscgylWIIwRwQaSujv8ATI7xWYDZ N2b1+tc/NC8DlJFKN6Gv0LAZjSx0fd0kt1/l3R1xmpDKKKekLyDKjI+teqOU401zTdkJF/rU+orT HPSqcdqyupJGAc1aryMfhViopx+JHyeZ16dapFwd0kW2ZYxyaoXU0kdw4SRlHB+U47CpKj+zebIT ux+FfPVsmnSpp0nzS67IeY5rUx9NUYwsk01rrs1+pyWuahLeXRjd/MWFiFPPfGep9qz0jaQ4UZNd NeeFCy3MqTGSZjuRcbR1yQfX9Kyv7Ju7D95PFsQ/KDuB5/A+1KlgavtIwqRdn2P2LJ8wy/6rTw+H qK8UlZ6Nu13ZO19W9lvcrrZrtGSwOOa6LwnCIftWCTnZ1/4FWLWt4fuvs7TKIJp2YA7YU3EAZ5/U V9SsLQormjGzXU3zeNStgqlOCu3b80dJRTI5DIgYo0ZP8LjBH1p9KNSEnaLufkPPHmcE9UFFFUtW vXsbdZIwpJfb8w9j/hVSkoRcmdNGjLEVFShuy7XM+IFcagSzblKgqM9B6fnn86lXxJPzuijPHGMj n86z727a9uGlYYzwFznA9K8rE16dWFo7n2uUZZicHiXUqpWtb8iCt/TphNapgY2fIfwFYFaOkXBW XyT91uR9a8HEw5oX7H1VePNC/Y16KKK8c8oKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKAGyRiWNkbowxWJc2zW0m1uR2b1rdpGjWQYZQw9xmvZy7Mp4CTVrxe6/U8bMcthj4p 3tJbP9DnqK2Tp1uQRsx75NZdzAbeYoTn0OMZr7jB5pQx0nCndNd/6Z8PjMrr4GKnUs0+39Iv6Ppc WoRyGTzF2kAMpGD7dP8AOa6G1tls7dYULFVzgt15OaZp9qbOzjhZgzKOSOnJzVivGxWIlWm0n7t9 Dwm7hRRRXCSFFFFABRRRQBg3nhx2nJt2jSIjhWJyP51l3enz2LYlQhc4DDlT+NdlSSRrKpV1Dqeq sMivWpZjVhZT1X4lqTOGorprjw/bzTB1LRLzuVe/09Krf8Iv/wBPP/kP/wCvXrRzDDyV27fIvmRh UVZvNOuLHBlTCk4DA5BqtXfGUZrmi7ooKKK8o+MHxU1TwXqkGl6ZDbq01r5zXMyl2UszKNoyACNp POQcjjjmKtWNGPPPY2pUpVpckdz1C+vrbTbV7m8uIrW3TG6adwiLk4GSeByQPxr598T+PPEfxG8d QaV4QuL4xO/kWUFkzQvMcZZ3II44Jy2AqjJC/NVHR/CvxI+N1vd3dlDea1aW8qiQvPHBbrJt4Cqz Km4L12jI3An73P0/8Af2fbH4b2NprerW/m+LZYSJN0iyx2e4t8sWAMMUKqzZbkMFO0nPz2JxzrLl hoj38NglRfNPVnlPwn/ZX1/UvF0l/wDECwEWlRhpJLeW7Ekt7I4YD54pMrgncWJySAMHJI9Quf2Q PAE+sC9QapbWwdG/s6O7BgIGMrllMmGwc/Pnk4I4x7dRXlnpkNpawWFrDbW0MdvbQoscUMKhUjUD AVQOAAAAAKmoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvk79trx L5mqeGvD8clwvkwyX80ecQvvbZGcZ5ZfLl6jgPweTX1jXx9+2xos8HjPw9q7NGba609rVFBO8NFI zMSMYwROmOex6cZAPbvh7oY8F/D/AELTGtTbTW9onnwh9+2Zhul+bJ/5aM3Q4544xXR21wLhCQME HBGazPCniCDxj4V0zV4hGIr63SYxxyCQRsR8ybhjJVsqeByp4FTG2ntG3R/NnjKjJ/KvncPRoYqE 6c3y1b6NvR+R8/XqVaVRTtePU0qKRW3qDgjPYjBpa8Vpxdmdqd1dBTJoUuF2yKHXrg0+inGUoNSi 7NAY2qWtvAyuWCL1OTjH41mx6tZfKqzAdh8pA/lWR4hmW41q6ZQQA2zn1UAH9RWdX7HgMNL6rT9t JuTSf3/5bHR/Y0K0f3k3bolsvz/Q7VWDKGU5B5BFLXHW7vDIJEbaw6GuujkEsaOOjAEZ96w9rB1Z UoO/KeBmmT1MthTqOV4zv0ta3+Y+k8+O3IMjhA3ALcDPX+lLWbrlq00CyL/yzySuOxxVTbUW0cGW 0KWKxdOjWlyxk7X/AC+92Rc/tuy/57f+ON/hUHiP/jxT/roP5GucrrplTULLbyFlQEZ7dxXC8TGk uaofo8skhluNw9XD3au3K7WlrdkvP/gEfgmx/wBbe7/WHZj/AHTnNdXXJ+Drlobi4s33KFDSNyNo IKj0zn8ce1b66mu45RgvYg8181mMKlTEye/+R1ZriqWHxFq8rX29Clcf6+T/AHj/ADpq06dleVmT dhjn5qQV6uBT5r+R+ZUE3iJtPTUgvrr7HavNt37cfLnHU4rmdQ1GTUJFLgKq52qO2a3NemWPT2Qn 5pCAB9Dn/P1rmKvGVJc3InofqfD+Fp+xeIlH3ruz8rL/AIIUUVYj0+4kQMseVPI5Ary5SUd3Y+uc lHdleruk/wDH4Pu9D97r+Hv/APXpbXS5JZD5oKIpwfU/Sr9np62jMxYSMeh24xXJWrQ5XFPU5qtW HK431LdFFFeSeYFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVBJ ppv7yLkhMfOwxwBU9WtPP7xhjtXfga06FeM4b6r70eNnEVLA1L9NfxLscaxRqijCqMAewpaKK9zc /KAooopAFFFFABRRRQAUUUUAFFFFADZoUnjaORQyMMEGue1HQZYpC9spkiIztzyvt710dFdVDE1M O7x27DTscLXkv7RGhw3Hhu01RLTfeW9wsT3KKcrCytwxH8O/bjPQtx945+jZ7G3ud3mQoxbq2MH8 +tc7rHhpVtJQyrd2zqyyxSICChGCCOhGOte39bpYuDpS91s6qNb2dRT7HI/sx/HTRbjwxpPg3WLy S01u3c2tnJdOzpdqzM0aq+MIVGIwjHnCBSSdo+ja+CPjb8NbTwu8et6YVgsrqbypLMDAjkIZsp/s kKeOx6cHC/Sn7KfjCDxJ8J7KwN1JPqGju9rcLNIGcKWZoiBknZsIRc4/1bAcLXh1aUqM3CR9hSqx rQU4nsdFFFYmoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXk37 Tvgmfxr8Kb029zHbyaQ51YrIpIlWKKQOmR0O1iRwckAcZyPWaKAPlX9kjxZ9s0HVvD00uZbOUXVu sk+SY34ZUQ9FVlySOMy9ieff6+QrOOf9nH48S2lyZP7HLmEzSAky2MpBWTPl/MUIUtsHLRMoOK+v a+VzCl7OtzdH/TOKrG0rhRRRXmGIUUUUDPN9W/5Cl5/12f8A9CNWNB0pdYuZoSxVlhZ0wcDdkAZ4 6c11y+GdLZneYPcSSOWMkjkHPf7uB/8Arqxa6dpmkymWCPynI2FtzNx17k+lfc1uKMP9WdChGfPa ydla/wB9/wAD6X2ipQvLS33HDalps2k3PkzbS20MGU5BH+c1vWEXk2cKYIO3JDdcnk1m+PFM2oQ3 UfMIjWPf0+bLHGOvSm+GtQluFeCTLLGo2MF4A6YJ/wA969TKsLfDRxfNdtarseHn+YSzDCxjC1ou 7136fqzcpr7djb8bMc7umKdUkOmtqDgOdlqPv4PL/wCz7D1//XXZicRTwtJ1aj0R8ZgsNLF140k7 efZf1sYeh+HZNVHmyMYbcHhscvzyB/jW3GgjjVFGFUYA9qqeLNTnspobO3byIwiuDESrfxDHB6e1 VPDtxLN9o8yR5MbcbmJx1r4SOMqYqblPZ7Lsfuc/aVqftpPTojZWnUiqfSlwa9CnOPLufjuee/jp yi7rTbXoFOpp+Xk8Cq8khcnnj0r3MCuZSaN8mwNTFOTWiXUy/EFvJJcCVV3IsYBI7cmsWurrF1Sw EDebGuEP3gOimpxeGavVj8z9bwLVGlGg3t1M6t3S1ZbNdwxkkjr0rESN5DhFZj1wozXR26mO3jVh gqoB/Kvm8XL3VE6sTL3Uh9FFFeWecFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFX4bNBGN65bvzW1KjKs7RPOxuPo4CClVvr0W/6FCitCSxR8lfkP6VVuLcwY53Ke+Kuph6lNXa 0OfCZthcZJQg7SfR/wBWIaKkhhaZsDgdz6VLPZmPBQFl7+tZxozlHnS0OqpjsPSrKhOaUn/X49Ct U9m+ycZ78VCysvDAg+4qS1UvOnsc0U7qpG29x4z2dTC1OZ+7Z/kadFFFfSn46FFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFAHm/wAQvCNl4osdQ0m4Rdkg3RSMuTDIVyrqAR0J6ZGRkHgmvCvhBrXi L4TfGbT9EjnWMXt/b6ffW+d8M8cjqFfHHzAPuVuCM4PBZT7t8UPE0PhHT9U1GWWKKWOPFus2SJJi nyJgcnJHbsCeACa8R+APgnW/it8UodfmvAYtIu4NQvruYgszB90caqMfe8sjjCqqn0VT7GMcHTpv 7Vl+R9LlnPyv+X9T7roooryj2wooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigD5D/ba0P7P4p8Naz5+77XZyWnk7MbPJffu3Z5z5+MY42988e4/D/wAUL408F6Pr StGz3durTeUjKiyj5ZFAbnAcMO/Tqetee/tsa1BB4M8PaQySG5utQa6RgBsCxRsrAnOckzpjjsen Gei+Aem3Gl/CHw5DdR+VK0Uk4XcD8kkryIeD3VlPtnnmvFzRL2cX1uc9bZHoFFNklSFd0jqi5A3M cDk4H61Vn1WGFiozIcfw4x+deDTo1KvwK5lTo1KztTVy5SMCVIHWqljqBvJinl7AFJ657ir2MVji IyoPkmtTWVGpQqJTWq1K/lt6VTuBJIxA5Tt0rQlmEeOMmqqruBHT6VeGpqMXWqLTodteKxWGbrNq P9179LddDJu7OK8WMSruVH3hexOCOfzp0UMdupWKNY1znCqAKnlQKufeo6/RsnnzYRWel2fn2MoV sLU9jVCtLSpB5bpn5s5rNqS3mNvIHHPqPWujMcK8ZhpUo77r1RWX4lYXERqS26+hfvtHs9RlElxD 5jhdoO4jjr2PvTIdGs7GOUwQ7CRk/Mx6dOpq7FIs0Ydehpl1/wAe7fh/Ovy+PtIVFBtpp2P06riZ rDSlCTas2tfK5n02STy1yRmnVXnk3HA7V9Tg8P8AWKqi1p1Phctwn1zEKDXurf0EkmL9OBUdFFfa U6UKMeWmrI/TKGHpYaHJSjZBRRRWpuM8tEJKqqljyQMZoqVom+tRlSvBGK+AzKVOpiHOm7p2Oeji 6GI0pTTfrqJRUghbihoSoyOa82zOf+08Hzqn7RXf9b7L5kdFLTJJFiQu52qOpoScmklqelfqOoqC O+t5cBZVJJwB0Oanq6lKpSdqkWn5qwXuFFFFZjCiimM3pXTQw868uWK07jtcfRUVO3mvRqZZNfw3 cfKPopm40mSaUMrqN+/JIOUk3D1oqKit5ZWre7IfKS0jPj3pmT60lVRyyMXeq7hyj/M9qXeKjoro ll1B7Jr5j5USxsrSKGO1SeTWxWFWjp9xuXy2bkfdB9Kv6rCir00fIcRYOdWlGvB6Q3Xr1/zLlFFF QfnQBQucDGeaKKKBtt6sDzweRTVjVeVVQfYU6ilZblKcknFPRhRRRTICiiigAooooAKKKKACiiig AooooAKKKKACvNfj9441bwH4IgvdGmS3vLi9jtvOaMOUUo7kqGyMnYByDwT3wR6VXzX+1Z43+0Xl j4UhSF44Nl/PMr7nWQh1WMgfd+U7jnk716DqztwdP2leKaujz7S/B3xD+M2rWMzW2qalDfTOY9Sv EkFlFknzGD42Io2kYX+6FAJwK+4fhl8PbH4Y+DbLQbJ/P8nc8900ao1xKxyzsB+AGSSFVRk4zWL+ z5oGoeGfg94d07VbSSxvo0mke3mGHQPNI67h2O1lyDyM4IBBFeiVR9kkoqyCiiigYUUUUAFFFFAB RRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB8p/twXcD3Xg62WaNrmNLuR4 Qw3qrGEKxHUAlHAPfafQ16N4c1Z9H+EXheWLiZ9Ls442xkAmFTn8gfxxXhP7U13ceLvjoujWdp/p dtBa6bCPMH795P3qnnAXmcLyf4c55wPoj4hFv7JtwANnnjJzzna2OMfWuf2cK+Mw9GorpvX5HLXe iOKbUrqaaGSaeS4aJtyec5YDkep9hXXWMk724+0x+XKOD8wO7gc8dPpXJ6Rbx3WoRRSruRs5GSOx NdpX1OcSpwcKUYpdf+G/G57eT05csql9NrF/RZAl7g9WUgfz/pXQxxrJnOc1ycEzW8yyJ95fWuph lBVXXlWGR7ivzjM6XvqT2YZlDlqxqPZkF5AFkwPqKgC7e+aZe6xD9oZdsmV+U8DsfrTo5RNGrgEA 9Aw5rkxFHEUKC9pG0Xt+Z4dWVeEXTfwP/hynIjPjHSoCCpwetXG+8frUE46HvXuZLmMozjhZL3Xt 67kZ1l0KlKWNg/e0b9NvwIqqyajDGcAl/wDdFQXt5IrbApjKtkNnqKoV+hRp31Z5GCypVI+0r7Pa zN+38RQ28Kr5cjndznAAHtzS3PiZJCEjhYxnGS3B6+lc/RXlyyXBVKrrTjdvXdn1UaS9ksOvhtY6 W3uo7pd0bZx1HcVA33j9e1Y9nIY7hTnAPB5xWp5yf31/OlQwCwdSTg7pmmW4SngJTlKVubZPRj6K b5qf31/OjzU/vr+dd1me97el/OvvQ6imiRWOAwJ+tOpPTcuNSEldO6Jo87eadgHtSL0Halr85rz9 pVlK1tT8hxNZ1K86kVy3fT+vvCiiisDjGSRhvY1yt5eyXjZb5VHRQeP/ANdbXiCRkslUZwzgE8fX H+fSudr7jIcHDkeJlq3ovK3+f9bn6Fkcqrw15yvG+i7W/rbp8wrRt9akTiYeYM/eGARWdRX0uIwl HFx5a0b/AKejPok2tjqtw9aNw9aztOvPtEexvvqPXqPWrlfB1MojTk4ykzujaSuiXI9aioorpw2F WGvaV0ykrBRRRXcMKKKKACiiigAooooAKKKKACpLd/LnjOcc8mo6KT10M6kFVhKm9mrfebtFR28h khRj1I5qSvOemh+JVKbpTlTlunb7gooopGYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF AHn3xy8fX3w78EG+02NDfXVwtnFLJyISyO3mbcYYgIcA8ZIJyBg+FfAf4MX/AMXPEyazrEb3PhmK 5kN/dPdAS3EwUP5fUuSxdSzcfLuwwbFe4fH7UtItfhjrFpql15Ul1EPs0EciLLNIsiFdqsfmUNsL Y5C574rmf2H7WdLXxjctDIttI9pGkxU7GZRMWUHoSA6EjtuHqKpH1GVpeybtrc+oqKKKZ7AUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV538cPi5B8IvCQvlh jvNVu3MFjayOAC2CTI4yGKLxnb3ZRld24eiV8UftWXLeLfjhbaNp0Ekl/b2ttp2xyqiSaRmkUKSc YxMgyccg9uaNgJf2dfhdP4w1x/Gmvm7lgt7kT2skzHN5chizSs5O5gjAE9mY8k7WU+3+ONS+3TLZ RN8kLbnPBDNj+mT+JPpXS/Zbfw54cFrZAW1tZWoht1LFtiqu1Bls56Ac5zXnVaZBR+uYiWNqbQ0i vPv/AF38keVWqNsXT9JvLiRJIQ0ahtplVgCvqeuehrs1haSRUQbmY4H1rB0C8aOf7OeUfJHHQ4/w FdJausd1C7sFVXUlmOABnrXq5tUqSnaSWi0PrMqUFh3Onu9/VE8eg3kjYZFjGOrMP6ZqWRptJjeG aYOWT5AhJK9gcntxW5b31tdOUhuIpWAyVjcMcevFYXiJT/aCck/ux+HJr4GliateVqySS12/zHUx EZKX1nSKV38jJbczEn5ieSTVkag1rYbVGH3bVJ/PPv8A/XFRVVumzIB6CvoqFZ5pUjh68E4r3vu/ zvb5nyOEzKWY4l0XBcm67q3fo+3QfJqVwzEhwvsAKX+1JGwHVWx3HBqrTK+mp4HC02pQppNbNKzP uqVKljKUsPXjdFqfy74bgwjkUY+c8GqGD6VLRXfH3dDKnk8KKcac3y9E9bfPciqW3tJbrd5SbtvX kCmMvpWroeEEuWUMxAC554z/AI1jiKro0nOO55+KlWy/D1KsY3krW003/wAig1nLbyL5ihe/UGnV b1Pd9qO7pgbfp/8ArzVSlSm6lOM5bs/P8ZjauOmqlW2itoFFFFanAFaVgxaEknJ3YrNq1p8gSQqT gN/OvJzSnKphZKPTUtTlFOKej38zRooor89ICiiigDE8SMN1uueRuJH5Vi1d1i6W7vCUHyoNgOeu CeapV+q5bSlQwlOEt7fm7n6jltKVHCU4S3/zdwooor0z0iS3l8mZH/unn6d66GuaALEADJPQV0Nu rR28at94KAa8fMIr3ZdTpovdElFFFeOdIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBLFdSQ8K3Hoe RWtDIJo1cdxWTDbvcMQuOOpNasMYhjVAc471y1uX5nwPESwi5VC3tb627W6+e1rj6KKK5j4gKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiis7xJrH/CPeHdV1XyftH2G1luvJ3bd+xC23ODjOMZ waBpNuyPlj4waZN4u/aGOhyXjxJdXVjYRSMDIIFkSIZVcjgM7NtBGST65r7E+GXw9sfhj4NstBsn 8/ydzz3TRqjXErHLOwH4AZJIVVGTjNfCGmRX3xs+KVtFqOo2mm3ms3IR7qVdsUYC4VVXPJ2qEVSc s20E5Oa/RmrPuqMXTpxg+iQUUUUGoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQBDd3cFhazXNzNHb20KNJLNMwVI1AyWYngAAEkmvhzQ7y++Nn7RX9vWEEcMEd 9FqDCX92Y7WBo1UsMtlyqoCASNzdl5Ho/wC1R8dIPss/gnw9eSG5L7NVurdwEVcENbZxkkkjfgjG Nhzl1G5+z38Jv+EA0E6rfjdrWqRRs8bRbTax/eEXIDBjkFxwMqox8uTw4ysqNJ93sZ1JcqPTNa09 9UsjbrN5IZgWO3dkDnH54/KuM1bw5c6WryZEtsoBMowOpxjGfWu/k7Vk+IdKk1ixEMTqjq4cb84P BGP1ryMpzqtgcTGg5pUm9brva7utb9N2l2OmjgaVelFz0b6nEaTMI9SgY5ILbePcYH8662sqDwNc sx865ijXHBjBY5+hxWzPbm2k2FiwxwzYyfyr7TGZlgsZWjHD1OaVvP8APbqfTUvZwXJA5q6t2t7h owCefl9x2qzGps4fnPlhupbj8K09QspfsP22NVcwnO1gTx3P4cfrWDqF8t1p8Ss2Zg+WGPY81z1c E8Rh3Pmskd1OvSxb9lvZ2fqbltdQLGkf2iJnzgBXBzzWrafxfhXN+H9L8tVu5M7yPkXpgdM1fv72 S1kQRPtbBJ4B/n+NebTxDxWNo4aitIX/ACt+H4s/I8fl9OWPqUsNU55Sbbb0V7tvbp+pW+IH/IGh /wCvhf8A0Fq5LR9W+wsY5OYGOSccqfWui1GZ9UhWK6bzY1bcBjHOCO31NUY/DMNxIkiv5cSkBo8E 7vXnPFfaLMcNgYPD4m/e9rr/ADv8j3cuynHYSCrUmm0+/wDmloaasGUMDkEZBHelq/bacrQqgGyN F2r36DAqlKohneEujSJjcqtkjPTPpXDgczpY5uMdJLp5dz7iljKNSq6CkudbobT4pGhkV1+8pzTK K9dpNWZ2SipxcZK6Zcurz7YynYEI98/5/wDr1BUVOVyOvNZxpxpxUY7H59mHDTjepgtv5X+j/wA/ vH0UgYHgHmomukViCG4OKtK+x8ZHC15zdNQfMt11RNTJpjCu4dc8VCt58xyvy9sdaS4uA6lV5Hc1 XK72aPQo5bXjXhGpC8evaxu2d7HeR5Xhh95fSrFZGgf8t/8AgP8AWtevzXMKEMNiZ0qeyt+KTOPH UY4fESpw2X+VwqG8ZFtZjISE2kHHXp296mrJ8RTFYIohnDsSTn07fr+lRgaLxGJhTXV/lqLBUXiM RCmur/LUwKKKK/Wj9WCpobSW4wUXK527vSoams9cFoDFJFlQx+ZOv5d6yq+0Ub0ldkucINe0dkad jp4tfmfDSe3QVcqK3uorpd0Ugcd8dR9RUtfM1ZTlNupuelHl5fd2CiiisigooooAKKKKACiiigAo oooAKKKKACiiigC7pbDdIvcgH/P51oVk2Unl3C+jfKa1q4qq965+Y8Q0XTxvP/Mk/u0/QKKKKxPm AooooAKKKKACiiigAooooAKKKKACiiigAooooAKr6l9k/s66/tDyfsHlP9o+048ry8Hdv3cbcZzn jFWK5T4raDqnib4e61pmjPs1G4iCxjzPL3gOpdN3+0oZeeDuwSBmguCUpJN2Pl34Z6X/AMJb8c9G fwxpEkWm2+qw3i26lj9ntYpVJeRmZsHaBn5sFmwvVRX6B18ffsT6lBF4z8Q2DWUclzPp6zpeHG+J UkVWjHGcOZEJ5H+rHB4x9g1Z94lZWCiiigYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABXzb+0d+0d/YH2rwn4Tuv8Aia8xX+pQt/x69jFGR/y17Fh9zoPnyUP2jv2j v7A+1eE/Cd1/xNeYr/UoW/49exijI/5a9iw+50Hz5KY/wD+Af9h/ZvE3ia2/4mXEllp8q/8AHt3E kg/56ei/wdT833OavXhh4c0iJSUVdlb9nv4FXGk3h8ReKtM8m5j8t9NtZ2BKEjcZXTswyoUMcqQx KghTX0RRRXyVatKvPnkcUpOTuzK1KaWG6BWQgFcgdh2pLTUD5m2Zsg9G4GKztSurhruYlVKqxUfQ H61T+3Sei/lXpQyHEYmHNDlfo0fY4OVKtQioyUrKztZ28tDpri8SOMsrK7dgDms+3ja8ugGJO45Y +1NMA7GqfhzxVDeatdWMNvuWNS32jzAQ+CBwAOnPXNe1l9DB4XC1Z0XzNK8m1sv8vJav8vkMXLMa WIjWlHlSvazT3W/4ieJNaiW4FlHcjykAVkXoGB6E/l+XqKw5LhWGEYMD1IOas3ng+73vJHcJcEgs TJlWZv1/MmqEkKW8jxxtvVTjf/e9/wAa9tYzBezi8JU55f1vs0fRZLUnjKcsG1yxtrJaO7/V9yzY 3E8MyiA/M5C7T0bngV0x0cXGGuZMyYx+6GAPzzWB4f8A+Qtb/wDAv/QTXa+UPWuXN8VDDV6dRJRm 1e6Wp8XSwtd1Z/Vvs6HI+JbVNGsY54tzlpQhDntgn09qqaLffaFaVkIQHbsDdTx7VoePJEa0trRe Zmk808jhQCMn6k8fQ1R8GaBcah9s8t4xs2Z3E993t7V20aeGxWX/AFvFr5vS6vb/AIY+poVsTQw/ sJz95/gdDbX0c2Fx5bdAO1cLr3iCObUJHtrU211G5Q3G45dRkYZCB7deRgV3k/hXUFt5Gi8lpQCE QseT0H4d/pXluqWN5YXskd9DJBcEliHXG7k8jsRkHkcVz8N4bD1MTUrLS2yu/wCmvUj6hQwtRVaM 2369f673NvRdcn1HUY7aVI1VwfmUEEYBPr7VuspRip6iuR8Lf8h61/4F/wCgmu2vI+jj6GvWx2LW HzWGE+zKCa/xXl+aR2YbM6kcfHC1XeMlp63f5laiiivRPrihfO0dyjKcMF4P4mo1udxO/r61duLc Tp6N2P8ASssgg4Iwa+fxFStg6znF6S+4uWHo4he+tdr9fvLlLVSOQxnjp6VcjVpITKFOwHaT716+ FxtPEabS7Hz+KwssL7zfu9y1YX/2FZcJuZgMemR/+urUGuNvPnINuOPLHOfxNZVNZwv1pVsuw2Il Kc43b6/geHUwFCvKUpxu31Ons76O8Vim4FeoYVj+ILjzLpIh0jHP1P8A9bFZouJFVgrsqtwQpwD9 aZXLhMnhhcS68ZaLZf8AB+8ywmUxwuI9unotl/wfvCiiivoT6EQnaCT0FZztudiO5zV6ZgsbAkDI OKoVtT7nl4yWqiFXrPVbiGdN87mMsN+75uM89f6VRopzpxqK0lc4YVJU3eLOq/tuy/57f+ON/hVy ORZI1dTlWGQfauQs7N76by0IDYz82cfoK622jMNvFG2CVQKcewr5rGYelh7KD1Po8JiKte7mtCSi iivNPRCiiigAooooAKKKKACiiigAp0cbSNtVSx9qbVmwmMc23BIbjj+dTJtK6OTF1alGhOpSV2lf Ut29ikJVmO5x+VWaKK4HJy1Z+P4jE1sVP2laV2FFFFScoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQ AUUUUAFFFFAHx9p+pa9+zb8U7i9t9OmNh5sttGt6o231pvVsLIBjdjy23L91sAjqp9g8H/teT+Jf iha6RJoscXh3ULlbOzZc/a42dlWN5Du2EEnlQBtDcFtvzeh+LvAeg+O7e3g13Tkv0t3LxEuyMhIw cMpBweMjODgegr5X+Kmgx/B/4uWV1otvBFbW7W2p2Ns7ySKuxhw5Y7jmSNjgN0I5HQUfWYPGqvaE l7x9+UUUUz1AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK8h/aK+NX/C q/DiWulTW7eJr/iCOT5mt4sEGcrgg4I2qGwCST8wRhXrF3dwWFrNc3M0dvbQo0ks0zBUjUDJZieA AASSa+GbvUJP2iPj5Hcx2twdHkljJt7qRz5NlEBvBKf6vfhjgHAeXG7ncZlJQi5PZCbsrnYfs7/C W91DU/8AhOfE0X2gzZnsUvNzyyyswb7U2T9dpbJJbfxhSfpGorW1hsraK3t4o4LeFBHHFEoVEUDA UAcAAcYFS18ZXrSrzc5HBKTk7sKjuJ1t4Wdu3Qep9KZeXH2eEsBufsKxGSSaQu5yW5JNTTgpaydk eVi8Z7D3IK8vyI5HMkjOerHJxXOza5bedtEcsZ3YYOoG39f0rZvpBHZy/P5bFSqsOuSOMVyTaeXY s0pZickkcn9a/R+H8Onz1ZNpbDyD2tOU68W108n/AF96NvVNe/tbTZ4bNZIiw2O8qAjBB468E4/L NZnhOM6DqMlxcfOjRGMCPk5JB749K3rfRV0/R1jlT988u5+noQBkdsfzNZV0gjnZVGAMfyr0cJSw dahVwVFe5Ju777dfyPo8ypYjkWIqNWeluvc6C41T+2LeSC1V42P3mkGBt9Mg9T/LNY50e73ECLd7 hhz+tXvD8TeXM/YkL+X/AOuthVwQa8apg8Fl6lSouz9b626mmEziGW4RxjKPO7uz79L2+W5laHpd xBqcMkke2Nc5O4f3SPWrfirxZHoavbIkhvJIt0bgDauSQCc+mCcYrRgba4J6Ag1WvPBmm6pqb39x 50jSYJi34Q4UAdBnsD1rzsRicNVxNPE5inyKL0it2not+p4WU473KkX8V736nAae1xqk1zcSOZ52 YF2bH4f/AKu2K9L8B2P2W1uZQB85VDgnqoJP/oVZ+uafa2PkfZraG33bt3lRhc4xjOPrW34P/wCQ ZL/12P8A6CtejmOYrHZeqlKPLB2VvR2/Q+vp0IfVfrH2pfhr0NuSVIY3kkdY40BZmY4AA6kn0ryH 4n31tqGv28lrcRXMYtlUtC4cA734yO/IrrvEN9rWrateaJZwRW1j5aLNdyDLbXByVBPIOGXgHkHk ds6w+Gen2YMl7cSXm3JKgeWm3HcDJ9+DWmS4angGsZiJ6taJa6Nbvt955NbF0qLtJ6mF4LsVW2ku 2VhKzGNSem3g8fj/ACrfvP8AVj60+3tobOIRW8flQqTtTcTjJz1P1p0kYkXaa+Qq5nGtmv12d+Xm 0/w7L8Oh8vRxsY5hHFT+FP8AAzqKmmtjGu4HIqGv0vDYqjjKftaMro/XsLi6OMp+1oSugqhfW20m VencVfpVUuwVRkmqxFGFam4z08+x2e0VK827JGVa2ct4+2Jc46k9BXTWNiLOERpk9yx7n1p8MK28 KRoMKowKuQwuyKccV8tgcRHnaatpufmtXOo55XdCs/Z0Y6rXez63++3Tz3KL6PBI2SpU+icCq83h UlS0U/PZZB/Mj/Ct+OMR+59afXoyx9WL/ds4sTnHJangtIrq9b/f0/H0PPmUoxVgVYHBBHIpY42m kVEGXYhQPc1219psGoJiVcN2kXhh7Zqjo+hnT7mSWRlkOMRkfqTxwf8AE16sczpypuTVpLoenHPK MqMptWmuncyLnw7eW0W/Czc/djyT+WKyLhd0LD2zXo1Z174fs74uzK0bucs0ZwT+HSufD5pZ2rL5 o4MPnjcXDFLfqjzuit3xD4cGlRpNbmSSHo5bB2nt07H/AD1q9oPhe3urOG5uvMZnyfL+6MdB7+/X uK9uWPoRoqtfR/eVLGUo0lVvozN8J2cV5qhEyB1jjLhWAIJyByD9a6f/AIRbS/8An1/8iN/jV+Gx trVi0NvFExGCyIFOPTipq+WxWOqVqnPTbivU+fxGMnUnzQbS9TMg8P29oCLf92G5OeSfxoaxdmfy 1O1TgbuCa06K4nWnJ3k7s76GeYyirXv2uv8AKxUj06NUw+WYjrnp9KiOmNzhwfTitCip9pLuRDOs dCUpe0vfvqvl2+Rlrp8zHkBfqajmt3t2AbHPQitiq2oqWt8/3SD/AErSNVuVme3gc+xNfFQp1UuW Ttp/w76mXRTljZlLBWKjqQOKbXUfeqSk2k9gooALEADJp8ULzEhF3Y60r2JnUhTi5TaSXcZSqpZs KCT6CpVtZWfbsYc4yRx+dadvbrbptXk9z61nKoonh5hnFHBQXI1KT2Sf4v8ArUprp5+ztuH73tz0 pdPtmWQyOpXHAyMVform9pJpo+IqZ1iqtKpSn9v8F1S8v+D3CiiisjwAooooAKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAr5m/a10JYta0TWTeJvnt2sxZlG3YjYuZA3TH70Ag4PTGcnb9 M18efHa5t5/jlepq8t3JpUMlrHKtuwMqQeVGzrEG+UH5nIB43Nk9TTR6uWxcq909kfYvwZ8YXXj3 4Y6Brl6uL24hZJ2yP3kkbtGz8AAbihbAGBux2rtK8C0n9sD4fw/Y7CHTNY0yyTZAh+yQrDbxjCj5 UkJCqOyqTgcA9K99qj6sKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPF/ 2svGX/CM/CubT4ZvLvdamW0UR3HlyCIfPKwUcspCiNhwMSjPXB5T9lXwuuk/D+bV2WM3Gr3DMHR2 J8qIlFVgeAQ/mnjqGGT2HIftieJ4/EnjrQ/C+nwSXN7pcbeYIgzO01x5ZWILt5O1YzkE58zHBBr3 zwP4f/4RTwfo2kFIEls7SOKX7MMRtIFHmMOBnc25skZOcnk14+Z1OWmoLqYVnpY26RmCKWY4ApaY 6h+CAw9xXg0aMq0uVHn1J8kb9TKurgSSFmYKOgzxxUXmoOrr+dVpg2oXUrW6lo1xgdO3p+FZutLN Y22STEzHA759s9q9TCYOnipxpRn7zdjrlk1GNJ1MRV9+13FWv36vsbFzp8F9H864JHDL1HIPH5VW i8P2kEiyMzsAfuyEbSew6etR6LqUf9k7pJS7wgmTdnPJOBk9awru4a7uJJm4LHOPQdh+VaYf69hs VLBe0lGKk1/w3k1r6an12W4SliaEJR2su2/y0v38zqtW/wCPdf8Af/oa5bUmEU2e7DOKLO3FxMVY kADPFXNSVY9OdFGBwAPxFfd5Xh3hrK90cOdTpwjHBL3pXT22GeHNTZbg28rqsTDKkgDDfX/PSumm Voow4AdT/Ep4rg7FC91HgkYOSRXXaNdGNnhIDRkbsfkK5Myp0I41RkviV/69T5OtlNOtg6mMT5XH 7mWobkFsEbR65pkzL5hIIx7Van09W3MmVbrt7VxmqXk8OpSBJnUKVIUMcdB2pVsrhjaap05cttdT xsty76xinSrXta+nXVf5ndaE27z/APgP9a1a5bQPEFn9qkgMhXfjazAgE/59cV1KsGUMpyDyCK5M LD2dFRtax6+aYVYPFOlGPLGya9Lb/fcKztWvBHGYVPzt97HYVoswVSScAckmuZuJjcTPIerGvNzb FOhR5I7y/LqeHVlyqxHRRTlieQZVGYewzXxEYuTtFXOMZ14NQtY7ba5uPvrChfZu25xzjOD2B7Vd js5pGxsK+7DArVt4Ft4wg57k+pr6vI6eKpVXNXUOvn/Xc9bAYvEYOTdKVk9/P+u6OV01Y9UsFmif EqjEsfXaex+h/H9KvwW6wA92PU1x94s+g6tPFDI8TRvhTkZK9RnHByMcVsWPjh4Y1S4tlk5GZIzt OOOcY5P5V9xj8vxVdfuZ3g9bdf8Agr5n0uZ0cxxdPlo1eanLW2l++/VfM6BYZG6Ka0Y12xqD1AxS 0V8tTpKmfBRgohRRRWxoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUH2OHL/LkN29PpU9FN NrY3p16tG/s5NX7ENvapb7tvJPc9fpUu0BiQACep9aWihtvVhVr1a03OpK7YUUUUjAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArnPFnw78N+OPLOt6TDeyR4CzZaO UAZwu9CG2/MTtzjJzjNdHRQVGUou8XZngvxE/ZdstS+yzeD2h0qRfkntryaRonHJDqx3sG7Y6EY6 EHdx/wCzB8W7P4c69qdtr+syWHh24tmkEJieVPtQdArAIrFSU3gkYBwM5wuPqqvNfGX7PvhLxnqk moyxXWm3kztJO+nyKgmY4+ZlZWAPBOVAyWJOSadz2cLmDh7tZ3XcZ4u/bM8L6RI0Og6beeIJFdR5 zn7LAylckqWBfIOBgoO5zwM8jH+21fSeI7J5PDVvbaDwt1Cs7TXXU5eN/kXjKnaV52kbhnK7fgj9 mbw34b3y6w3/AAkd2JVkiaZGhijC848sOQ+T13EgjAwOc8n+0xbeFfDOg6fpWnaFpdrrF3L5/mWt ukTwwrkEnYQfmJwNwKna/dQQz04Y+nUqqnTTd+p9O+CfiP4b+I1rc3Hh3VI9RjtnEcyhHjdCRkZR wGwecHGDggHg46WvAv2Qfh7feFvBt9r16+z+3/KeC1aNlZIozIFdicZ37yRgY27Tk7sD32mekFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB8KfC2Sf4rftB/wBu3dtJNF9pm1WSOS4LG3Vc +SN2QWCOYVAA6AcbcivsCvkD9lPUrex+J0sM8myW80+WCBdpO9wySEcDj5Y3PPp6kV9f18vmTbrW fY463xFfUJpbeyllhVWdBuw3THf9M1z8fiKS4WWKaNcOhVfLBzuPAzk9K3NYuI7fT5vMbbvVkXgn LEHArjLf/Xx/7w/nXfltNSoT5l/Vj6HK8HRxFGUqsLtPRm7orbfO/wCA/wBavzQw3IAmiSUDkB1B xWdC5hZioGWxmrVxeR2lm9zIcRou48j8h79q8mnh7yXLfm8jwc7p1oYl17e7KyX3IZY2Ona1NNb2 7JGlvIPtEUUZQueQFJ44yD6/hRr8NtYmO1gs7dBsyZDGpYjkYyR7detO+HqiTSbm8byTNdXLyP5f Venyn05yQPRverWpaOt1fzStKRuAwAOhwBXoxpRpZnOjzNqHfXVWT7db28rHqYPFU8HTj7eVor83 6C6TotpeaPbkxLG+WJkjUBj8xGCcdP8ACuI1Bm+1yq8flsjFSu7cRg4xnp+VdBb3VzpmuQ2yzu8S uq7CTt+YDPGff86vzeD7S4mklknuGkkYsx3KMknJ/hr6XDYj+y6jeJneM1eO+l2exTr4bCV/rVV3 51dPXZnJ6RDuvlYADaCx/LH9a6CGFPOMmPmHfNUL2zm8NzYJWWCZmKLuO4AevGM8j8qLPWvMuI4v Jx5jBc7umTj0r2q9sZT9vTXNHo/T/LU8zPMZSrYSrSwr96SW2l7tX/C9zpLd90YHccVwviBZp9Uu pzA6RbtobBwQMKDnHfH612ghI5DYNVL6x862kjJBV1IyRnB7GvnXj6NS0Iv8z47KM2q5TUU50rrR N32V1d6HG6T/AMhCL8f5Guqs76WxkLRnrwVboazrXw6bWdZRcbyufl2Y7Y9atMNrEenFe5g5QnBx HxNmWGzHGwrYOfMlFK9mtbyfVLublvrBv2Fu0WwyKVLhvY84o/sX/pt/47/9es7SP+QhF+P8jXSV +fcTydPFwhDRct/xf+RtlGFo4zDudeN2nbqui7GfDpv2eYMT5gwe2MHjHf61bqWmsu7mssnzenhl 7CurJ9fPzO7EZVGK5sMvl/kMooIIrB8Xaxc6Taw/Zl2mRiDNjO3GOPTJ/ofw/RaCWIaVNp369Dxq dCdWqqKVm+5yXimTzdfvG2MnzBcOMHhQM/Q4yPY1lU+aaS4kMkrtLI3VnJJP40yvsKceSCj2P0Ol D2dOMOySOq8FasI2ls5psKcGIOQBnOCB7nI4+tdhXlunXSWN9DcPF5wjbds3bckdOfY4P4V1+m+M 4768jgltzB5h2qwfd8x6A8Cvl8ywNSVR1aUbrd7f8OfHZtl1SVZ16Mbpq72/4c6Oiiivmj5IKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiis7xHr9p4W0G+1a/fZaWcTSvggFsdFXJALMcK BnkkCgaTk7Ii8T+K9J8G6W2o6zepY2YdY/MYFizHoqqoJY9TgA8AnoDXyp4ejtfjt+0JbC8XyNO1 K8LtEVIL28MRYI2HyGdIgpIbgsSOgFM+Jvxo1L4vQWGiW2iJaw/aI5IoIXa4uJZ8OgCkAZBDgBQu cjrzivqb4A/B61+GXhO0nvdNt4PFdzCVv7mOQyttMjMsYJOFwpQNs4JQHLYBqj6rA4R0E5z+Jnql FFFM9UKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD5C+KX7PPjy3+KWq674Nt557a9me 9ivINQigmhklyZUyWQj5i+MZG1lBJOaxv+FV/H3/AJ663/4UEf8A8fr7WoqXGMtWhWR8SzfCL473 GPN/tiTb0369Gcf+RqjHwa+OSkER6qD/ANhyL/49X29RTSsrI0U5RVk9D4Wt9c+N9rbxQppniJkj UIpk0MuxAGOWaIkn3JJNF1rXxtvLcwzaV4gaIkEqNCIBx9Ia+6aKUYxhJSirNBKpOa5ZO6PhnS/E Xxx0WN47PS/EMKOdzL/YO4Z9cGE4/wDrCrbeNPjy7EnT9fJ/7F5f/jNfbdFEoxlN1ZK8nu+v3mUo xkrSV0fB1x8aPiN4N1b/AIqC0/06QJPHFrGnm3YKCQGVVEZIJBGTn7vHetL/AIa68Yf9A3Q/+/E3 /wAdr7fopVIRrW9or22Lk3NRjLVLReSPhHVf2oPFWseV51ho6+XnHlwyjrj1l9qpQ/tFeJIZkkWy 0osjBhmKXHB/66V990V0U6s6VP2UHaPYy9nDsfF2k/tbajDbsup+HbW7n35V7S4aBQuBwVZXJOc8 57jjjm5/w11/1Kf/AJUf/tVfUuqfD7wtrl9Le6j4a0fUL2XHmXF1YRSSPgADLMpJwAB9AKq/8Kp8 E/8AQnaB/wCCuD/4ivO+p0N+X8zB4Si/s/mfLv8Aw1h/1K3/AJUP/tVQN+1NuYn/AIRjqc/8hD/7 VX1T/wAKp8E/9CdoH/grg/8AiKP+FU+Cf+hO0D/wVwf/ABFehTqSpO8HY5VlWDW0Pxf+Z8y6D+1V ZQ6pC+oeHbiG1G7dJbXSyuODjCMqg84/iHXPOMHrP+GtvCH/AEDdb/78Q/8Ax2vXta+BvgDX7VLe 58JaXFGriQNZQC1fIBHLxbWI5PBOOhxwKxf+GX/hl/0LP/k/df8Ax2vNxmDpY+oqte7drHp4eEcL D2dFWW553/w1t4Q/6But/wDfiH/47R/w1t4Q/wCgbrf/AH4h/wDjteif8Mv/AAy/6Fn/AMn7r/47 R/wy/wDDL/oWf/J+6/8AjtcP9jYTs/vOr28zzlv2tfCDY/4lut/9+If/AI7WP4m/ac8La1YxwQWG sK6yhyZIYgMYI7SH1r17/hl/4Zf9Cz/5P3X/AMdo/wCGX/hl/wBCz/5P3X/x2vewcngYRp0do7fm cfs4ut7f7R4Rp/xp8NXnmedLc2G3GPtEBO/Oemzd098dat/8Lb8J/wDQV/8AJaX/AOIr1LWv2QPA GqXSS2w1TR41QKYLK7DIxyTuJlV2zyBwccDjrmh/wxb4J/6Cmv8A/gRB/wDGa9pZxiErWT+T/wAz 0PrVTyPPP+Ft+E/+gr/5LS//ABFH/C2/Cf8A0Ff/ACWl/wDiK9D/AOGLfBP/AEFNf/8AAiD/AOM0 f8MW+Cf+gpr/AP4EQf8Axmn/AGxiP5V+P+Y/rc+yM3Qv2ifBcdrHb3eqeR5SBVkW2mYNjjoE4OMf r0qbVv2lvAum26yW97dao5faYbS1dWAwTuPmBBjjHXPI461c/wCGLfBP/QU1/wD8CIP/AIzVrS/2 OvAen30VxPNrGpxJnda3V0ixvkEcmNEbgnPDDkDqOK8WpL2k3O1r9jwKmX0KlR1Nr9Fscn/w1h4R /wCgdrX/AH4h/wDjtbenftI+A72zjmm1ObT5Gzm3uLSUumCRyUVl568E9fXiuw/4Zf8Ahl/0LP8A 5P3X/wAdrm7v9jTwNcXU0sd7rdrHI7MsENzEUjBOQqloi2B0GSTxyTWdiHltB7XRH/w0N8Pv+hg/ 8krj/wCN0f8ADQ3w+/6GD/ySuP8A43Sf8MW+Cf8AoKa//wCBEH/xmj/hi3wT/wBBTX//AAIg/wDj NFiP7Lo93+H+Qv8Aw0N8Pv8AoYP/ACSuP/jdH/DQ3w+/6GD/AMkrj/43Sf8ADFvgn/oKa/8A+BEH /wAZo/4Yt8E/9BTX/wDwIg/+M0WD+y6Pd/h/kL/w0N8Pv+hg/wDJK4/+N0f8NDfD7/oYP/JK4/8A jdJ/wxb4J/6Cmv8A/gRB/wDGaP8Ahi3wT/0FNf8A/AiD/wCM0WD+y6Pd/h/kL/w0N8Pv+hg/8krj /wCN0f8ADQ3w+/6GD/ySuP8A43Sf8MW+Cf8AoKa//wCBEH/xmj/hi3wT/wBBTX//AAIg/wDjNFg/ suj3f4f5C/8ADQ3w+/6GD/ySuP8A43R/w0N8Pv8AoYP/ACSuP/jdJ/wxb4J/6Cmv/wDgRB/8Zo/4 Yt8E/wDQU1//AMCIP/jNFg/suj3f4f5Gno/xo8Ea5532bxJZR+Vjd9sY22c5xt80Lu6ds44z1FaP /CyfCP8A0NOi/wDgwh/+Krgda/Yj0ue6RtI8U3ljbbAGjvbVLly2TkhlaMAYxxg9DzzgZ/8Aww7/ ANTr/wCUr/7dRYh5VTvpJnp3/CyfCP8A0NOi/wDgwh/+Ko/4WT4R/wChp0X/AMGEP/xVeY/8MO/9 Tr/5Sv8A7dR/ww7/ANTr/wCUr/7dRYX9lQ/mZ6d/wsnwj/0NOi/+DCH/AOKo/wCFk+Ef+hp0X/wY Q/8AxVeY/wDDDv8A1Ov/AJSv/t1H/DDv/U6/+Ur/AO3UWD+yofzM9O/4WT4R/wChp0X/AMGEP/xV H/CyfCP/AENOi/8Agwh/+KrzH/hh3/qdf/KV/wDbqP8Ahh3/AKnX/wApX/26iwf2VD+Znp3/AAsn wj/0NOi/+DCH/wCKo/4WT4R/6GnRf/BhD/8AFV5j/wAMO/8AU6/+Ur/7dR/ww7/1Ov8A5Sv/ALdR YP7Kh/Mz07/hZPhH/oadF/8ABhD/APFUf8LJ8I/9DTov/gwh/wDiq8x/4Yd/6nX/AMpX/wBuo/4Y d/6nX/ylf/bqLB/ZUP5menf8LJ8I/wDQ06L/AODCH/4qj/hZPhH/AKGnRf8AwYQ//FV5j/ww7/1O v/lK/wDt1H/DDv8A1Ov/AJSv/t1Fg/sqH8zPQdW+MHgrRbdZ7jxNp8iM+wC0mFy2cE8rHuIHHXGO nqKyf+Ghvh9/0MH/AJJXH/xuuU/4Yd/6nX/ylf8A26uq/wCGLfBP/QU1/wD8CIP/AIzRYtZXS6yf 4f5C/wDDQ3w+/wChg/8AJK4/+N0f8NDfD7/oYP8AySuP/jdJ/wAMW+Cf+gpr/wD4EQf/ABmj/hi3 wT/0FNf/APAiD/4zRYf9l0e7/D/IX/hob4ff9DB/5JXH/wAbo/4aG+H3/Qwf+SVx/wDG6T/hi3wT /wBBTX//AAIg/wDjNH/DFvgn/oKa/wD+BEH/AMZosH9l0e7/AA/yF/4aG+H3/Qwf+SVx/wDG6P8A hob4ff8AQwf+SVx/8bpP+GLfBP8A0FNf/wDAiD/4zR/wxb4J/wCgpr//AIEQf/GaLB/ZdHu/w/yF /wCGhvh9/wBDB/5JXH/xutvTvix4N1SzjuYfE+lpHJnC3FysD8EjlHIYdO4569Kw/wDhi3wT/wBB TX//AAIg/wDjNc1d/sPwPdTNbeMZIbYuxijm00SOq54DMJVDEDGSAM+g6UWE8rpdJM9J/wCFk+Ef +hp0X/wYQ/8AxVH/AAsnwj/0NOi/+DCH/wCKrzH/AIYd/wCp1/8AKV/9uo/4Yd/6nX/ylf8A26ix H9lQ/mZ6d/wsnwj/ANDTov8A4MIf/iqP+Fk+Ef8AoadF/wDBhD/8VXmP/DDv/U6/+Ur/AO3Uf8MO /wDU6/8AlK/+3UWD+yofzM9O/wCFk+Ef+hp0X/wYQ/8AxVH/AAsnwj/0NOi/+DCH/wCKrzH/AIYd /wCp1/8AKV/9uo/4Yd/6nX/ylf8A26iwf2VD+Znp3/CyfCP/AENOi/8Agwh/+Ko/4WT4R/6GnRf/ AAYQ/wDxVeY/8MO/9Tr/AOUr/wC3Uf8ADDv/AFOv/lK/+3UWD+yofzM9O/4WT4R/6GnRf/BhD/8A FV80fFT4pa38V/EdxoHhz7Xe6G7qLextLYmW6KKWZ2UAuwyGYLwAFUlQwJr0n/hh3/qdf/KV/wDb q6/4U/srwfDXxtZ+IpfEkmqSWiSCG3SzEA3OhQliXfICs3Axzg54wQ6cPgKdCXPe7Ov+Bvwlsfhl 4N05ZrC3XxJNDvv7zy1M25yGMO8FvlTCrhTtJTdjJNek0UUz0wooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//9k=