U.S. Department of Commerce, U.S. Census Bureau, Geography
Division
2017
TIGER/Line Shapefile, 2017, nation, U.S., Rails National Shapefile
2017
vector digital data
http://www2.census.gov/geo/tiger/TIGER2017/RAILS/tl_2017_us_rails.zip
The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
The Rails Shapefile includes all features within the MTDB Super Class "Rail Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begin with "R". This includes main lines such as spur lines, rail yards, mass transit rail lines such as carlines, streetcar track, monorail or other mass transit rail and special purpose rail lines such as cog rail lines, incline rail lines and trams.
In order for others to use the information in the Census MAF/TIGER database in a geographic information system (GIS) or for other geographic applications, the Census Bureau releases to the public extracts of the database in the form of TIGER/Line Shapefiles.
201606
201705
publication date
No changes or updates will be made to this version of the TIGER/Line Shapefiles. Future releases of TIGER/Line Shapefiles will reflect updates made to the Census MAF/TIGER database.
-179.231086
179.859681
71.439786
-14.601813
None
Nation
Linear
Feature
Rail Feature
ISO 19115 Topic Categories
Transportation
ANSI INCITS 38:2009 (Formerly FIPS 5-2),
ANSI INCITS 31:2009 (Formerly FIPS 6-4),ANSI
INCITS 454:2009 (Formerly FIPS 8-6), ANSI INCITS
455:2009(Formerly FIPS 9-1), ANSI INCITS 446:2008 (Geographic Names Information System (GNIS))
United States
U.S.
None
The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source.
The horizontal spatial accuracy information present in these files is provided for the purposes of statistical analysis and census operations only. No warranty, expressed or implied is made with regard to the accuracy of the spatial accuracy, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau, specifically as to the spatial or attribute accuracy of the data. The TIGER/Line Shapefiles may not be suitable for high-precision measurement applications such as engineering problems, property transfers, or other uses that might require highly accurate measurements of the earth's surface.Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.
U.S. Department of Commerce, U.S. Census Bureau,
Geography Division, Spatial Data Collection and Products Branch
mailing
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
United States
301-763-1128
301-763-4710
geo.geography@census.gov
Accurate against National Standard Codes, Federal Information Processing (FIPS) and the Geographic Names Information System (GNIS) at the 100% level for the codes and base names. The remaining attribute information has been examined but has not been fully tested for accuracy.
There may be some inconsistencies in feature names along features. An anomaly exists with the sporadic occurrence of road segments comprising a complete chain with different MAF/TIGER Feature Census Class Code (MTFCC) values assigned. This problem could affect applications that use the MTFCC values for network analysis, routing, or for assigning symbology to a feature when creating a map.
The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Node/geometry and topology relationships are collected or generated to satisfy topological edit requirements. These requirements include:
(1) Complete chains must begin and end at nodes.
(2) Complete chains must connect to each other at nodes.
(3) Complete chains do not extend through nodes.
(4) Left and right polygons are defined for each complete chain element and are consistent throughout the extract process.
(5) The chains representing the limits of the files are free of gaps.
Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.
The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth' against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95% confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards. Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of the TIGER/Line Shapefile as a whole.
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
Unpublished material
Census MAF/TIGER database
online
201606
201705
publication date
MAF/TIGER
All line segments
TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census MAF/TIGER data for all of the aforementioned geographic entities are then distributed among the shapefiles each containing attributes for line, polygon, or landmark geographic data.
withheld
2017
Federal Information Processing Series (FIPS), Geographic Names Information System (GNIS), and feature names.
Vector
Simple
FALSE
0
TRUE
FALSE
North American Datum of 1983
Geodetic Reference System 80
6378137
298.257
RAILS.shp
Rails National
U.S. Census Bureau
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
LINEARID
Linear feature identifier
U.S. Census Bureau
Values for this attribute are composed of a set of linear feature ID's. As such, they do not exist in a known, predefined set.
LINEARID
String
22
0
0
FULLNAME
Concatenation of expanded text for prefix qualifier, prefix direction, prefix type, base name, suffix type, suffix direction, and suffix qualifier (as available) with a space between each expanded text field
U.S. Census Bureau
Values for this attribute are composed of a set of names. As such, they do not exist in a known, predefined set.
FULLNAME
String
100
0
0
MTFCC
MAF/TIGER feature class code
U.S. Census Bureau
R1011
Railroad Feature (Main, Spur, or Yard)
U.S. Census Bureau
R1051
Carline, Streetcar Track, Monorail, Other Mass Transit Rail
U.S. Census Bureau
R1052
Cog Rail Line, Incline Rail Line, Tram
U.S. Census Bureau
MTFCC
String
5
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch
mailing
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
United States
301-763-1128
301-763-4710
geo.geography@census.gov
No warranty, expressed or implied is made with regard to the accuracy of these data, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau in specific as to the spatial or attribute accuracy of the data. The act of distribution shall not constitute any such warranty and no responsibility is assumed by the U.S. government in the use of these files. The boundary information in the TIGER/Line Shapefiles is for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes do not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.
TGRSHP (compressed)
PK-ZIP, version 1.93 A or higher
http://www2.census.gov/geo/tiger/TIGER2017/RAILS/tl_2017_us_rails.zip
The online copy of the TIGER/Line Shapefiles may be accessed without charge.
To obtain more information about ordering TIGER/Line Shapefiles visit http://www.census.gov/geo/www/tiger
The TIGER/Line shapefiles contain geographic data only and do not include display mapping software or statistical data. For information on how to use the TIGER/Line shapefile data with specific software package users shall contact the company that produced the software.
20170601
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch
mailing
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
United States
301-763-1128
301-763-4710
geo.geography@census.gov
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595
rails_clip
axtell
rail
brat
railroads, axtell wbd
rails_clip
002
Projected
GCS_NAD_1983_2011
Linear Unit: Meter (1.000000)
NAD_1983_2011_StatePlane_Massachusetts_Island_FIPS_2002
<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/10.7'><WKT>PROJCS["NAD_1983_2011_StatePlane_Massachusetts_Island_FIPS_2002",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-70.5],PARAMETER["Standard_Parallel_1",41.28333333333333],PARAMETER["Standard_Parallel_2",41.48333333333333],PARAMETER["Latitude_Of_Origin",41.0],UNIT["Meter",1.0],AUTHORITY["EPSG",6489]]</WKT><XOrigin>-36324500</XOrigin><YOrigin>-29532500</YOrigin><XYScale>9999.9995250255088</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0010000000000078861</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103071</WKID><LatestWKID>6489</LatestWKID></ProjectedCoordinateSystem>
{"type":"CIMLayerDocument","version":"2.6.0","build":24783,"layers":["CIMPATH=map/rails_clip.xml"],"layerDefinitions":[{"type":"CIMFeatureLayer","name":"rails_clip","uRI":"CIMPATH=map/rails_clip.xml","sourceModifiedTime":{"type":"TimeInstant"},"useSourceMetadata":true,"description":"rails_clip","layerElevation":{"type":"CIMLayerElevationSurface","mapElevationID":"{93FD3B31-76B8-441F-8153-D4F1AFE900AE}"},"expanded":true,"layerType":"Operational","showLegends":true,"visibility":true,"displayCacheType":"Permanent","maxDisplayCacheAge":5,"showPopups":true,"serviceLayerID":-1,"refreshRate":-1,"refreshRateUnit":"esriTimeUnitsSeconds","autoGenerateFeatureTemplates":true,"featureElevationExpression":"0","featureTable":{"type":"CIMFeatureTable","displayField":"FULLNAME","editable":true,"dataConnection":{"type":"CIMStandardDataConnection","workspaceConnectionString":"DATABASE=..BRAT_pybrat.gdb","workspaceFactory":"FileGDB","dataset":"rails_clip","datasetType":"esriDTFeatureClass"},"studyAreaSpatialRel":"esriSpatialRelUndefined","searchOrder":"esriSearchOrderSpatial"},"htmlPopupEnabled":true,"selectable":true,"featureCacheType":"Session","displayFiltersType":"ByScale","labelClasses":[{"type":"CIMLabelClass","expression":"$feature.FULLNAME","expressionEngine":"Arcade","featuresToLabel":"AllVisibleFeatures","maplexLabelPlacementProperties":{"type":"CIMMaplexLabelPlacementProperties","featureType":"Line","avoidPolygonHoles":true,"canOverrunFeature":true,"canPlaceLabelOutsidePolygon":true,"canRemoveOverlappingLabel":true,"canStackLabel":true,"connectionType":"MinimizeLabels","constrainOffset":"AboveLine","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":"OffsetStraightFromLine","maximumLabelOverrun":16,"maximumLabelOverrunUnit":"Point","minimumFeatureSizeUnit":"Map","multiPartOption":"OneLabelPerFeature","offsetAlongLineProperties":{"type":"CIMMaplexOffsetAlongLineProperties","placementMethod":"BestPositionAlongLine","labelAnchorPoint":"CenterOfLabel","distanceUnit":"Map","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":"CurvedInPolygon","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"},"name":"Class 1","priority":-1,"standardLabelPlacementProperties":{"type":"CIMStandardLabelPlacementProperties","featureType":"Line","featureWeight":"Low","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":"CIMLineSymbol","effects":[{"type":"CIMGeometricEffectAddControlPoints","angleTolerance":120}],"symbolLayers":[{"type":"CIMSolidStroke","effects":[{"type":"CIMGeometricEffectDashes","dashTemplate":[6,7],"lineDashEnding":"HalfPattern","controlPointEnding":"HalfPattern"}],"enable":true,"colorLocked":true,"capStyle":"Butt","joinStyle":"Round","lineStyle3D":"Strip","miterLimit":10,"width":0.56689999999999996,"color":{"type":"CIMRGBColor","values":[230,230,230,100]}},{"type":"CIMSolidStroke","enable":true,"capStyle":"Butt","joinStyle":"Round","lineStyle3D":"Strip","miterLimit":10,"width":1.4173,"color":{"type":"CIMRGBColor","values":[191,184,170,100]}}]}}},"scaleSymbols":true,"snappable":true}]}
20200822
12254600
20200822
12254600
File Geodatabase Feature Class
dataset
EPSG
8.2.10(10.3.1)
0
20200822
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKKACiiigAooooAK4r4gX0p/srRbdmD391EsuOnleaisD9QxP/AT6V2tcL4xuBY+KdFk
dcxz3Fud39zZL5fP1N0v/fNAHdUUUUAFFFZ+t6vBoelyXsySSkEJFDEMvNIxwqKPUkgUASapqtlo
unyX2oTrDbx9WPJJ7AAcknsBya52LTL7xbMl3r0L2ukK2630ljzLg5D3GOvqI+g75PRfD2mya1LF
4i1x1nvkZhBaAfurAg7WUA9ZAQQXP4YHXraAAAAAAYA7UUUUAFFFFABRUNxdQWqbppVT0BPJ+g71
GbqR8CC1kbP8Un7tR9c8/pUuSWg7MtUhYKCWIAHc1VWK9lA82dIh3EK5J/E/4Uq6fbiUyOplcnOZ
TuwfbPT8KLt7ILIQ6laiTYjtK3/TFGkx9doOKG1CFBl0uFGcZMD4/lVsAAYAootLuGhHFPFOu6KR
JF9VOakqvPawzNk/JNj5ZFOGH/1v0qSBJI4gkknmEcBiMEj396E3sw0JKKKKoQUUUUAFFFFABRRR
QAUUUUAFFFFABRRRQAUUUUAFFFFABXBeKVOo2LahKo3G9h06yjB5BN5GHc+5aIEegX3NdveXUdlZ
T3UufLhjaRsDJwBniuYu7SWO38MwXKBZpdU8+VAchXKTSkZ74Pf2oA62iiobu7t7G0mu7qZIbeFC
8kjnCqo6kmgCauTtf+Kn8WtfkbtL0Z2itTn5ZrrpI/uEGUHuW9KrNq+reK7wafYrLo2nSoZPtc64
ubqLOCYU/gHI+ZuRuHy966zT9PtdK0+CxsoVhtoECRovYD+Z9+9AFBCNL17ymlItdRy0asOFnHLA
H/aXnH+wfWtiquoWQv7NoPMaJ9yvHIoBKOpDKcHrggcd6rWV9dLeDT9SiRbgx7454v8AVzgcNgE5
VhkEqc8EYJ5wAadZ+qrepHHdWJZ5ICWa3zxOndfZu4PqMdCa0KKAIbW5ivLWO4gYtHIu5SQQfxB5
B9qhkeW6lMVvJ5aRtiSUDJJ7qP6nt/LKkWTTdYWxtZwlvqDkhecwSYZmKnphgrHHGCCec4rehiWC
FIkGFUYFQ/eduhW2o2G2hgB8tBuPVjyzfUnk1LRVax1C21GEy28gbaxR1PDIwOCrDsQRVJJbElmi
ikJABJOAOppgLWTqniOw0yRbfc11fyA+VZWwDzSY9uw/2mwB3NZYe+8YoxgmksfD7bk8yMlZ71fV
W/5ZxnnBHzMORtGCd6w0nTtLTZYWNtaqRg+TEFz9cdaAKGiaZdLd3GsaqE/tK6UII0bK20Q5WMHu
cklj3PsBW3RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACFgCASAT0FZcviCyDPHa
CW/mRtrR2a79p9C3CqfqRVy70+yvwovLSC4CZ2+bGG2564z0rhrnbpniiLT7S/t57S5u1nFjbGNJ
bd4yDjlwMHgEdcAjBJJoA3dQvtR1BLawfSnso72YRM9xKhYIAXb5ULDlUYDnqfaretDOs+HB/wBP
8h/8lpq5W9Op24lcTXh8m/a6MMlo7CFVlJBSUsqhWQ4I+bgkAda6fVn3+IvD0YB4uJnz9IXH/s1A
Gxc3VvZwma5njhiBALyOFGScAZPvXEeIdSTVtYKSx+b4e0adDqBz/rZyRtUD+NY8qzL3JA5Iwdfx
frq2FtFpNq8D6vqbeRbRSkYXdwZGB/hX07nCjk1QuYdI8M+G7HTLOJ7r7HHNNGokHLRjDyOehYOw
4wfmYcccAGjPquk64n/Ev1SBL20bzIZCp+VuVIIOMqeVOP0IFX9N1y3vrdzIVhuIXMc0W7dtYdwe
6kYIPoex4ri/D3hy409mu74gSuMJHuLFBncSxPLMScnp29Kr+IUf+0kuPPlgtJoxb3DxsExhiUJP
ULlmBII5I7ZoA9BbWdOV9hulz9D/AIVgf2/p2ralb34mMdjp00myUg5mk2mM4GPuDc3J5JA7cnjr
u3l0q9aDTQrXXkl3Mly3lxL2Yg5Gevp0PNW9CtoZNLijS9ieG3wZFVTliOcn6nJquV2v0J5kna+p
22s+K7DS9LkulcyORiJNh+ZscVz3h/4hC8hki1Boxcu6iDahAOf73oBTNbSxn077LczxxNIcrJJ0
Ru344/Q5+uJqOlWlpqGnx6bGss2SREW4YDkOx7DP55AFdFJ0XSamnd9fTsclX2/tk6bVl09e5reN
NY0eKwtdNN2Zb0ztIVJIct5TgHPZgWXHORlcdq3/AAZq8WpR6hBbvcSWtvMptXuGLO0LKCPmYksN
wcAk9AK8/wBe0/VTKNQuBp0mQsOFRwVJJXfg9T857jtXV+FEfw1JcQTOs9lK0e+527Wibbhd4HBX
gDPGOMjHI5ErKyO29zvawb65tdH8Qx3lztgt7mAxGYAAGQNkBu+SN2PofaovE3iJNIa2g+0izMsg
V7qa2Z4owVYjngFiwAABJ56VyKX9/OmoWi2F/dX2pz5s76+X7LEjIqhNpb5hhgXChe56/MaYHbN4
s0cWn2pLppI9wX5InJIKlt2MZK4Vju6fKaztavoPEGqWvhm1u42hniNzfmOX5vs44CDHOXJwf9kN
6iuWl0W4gub2fxBqFpDDawo0xtofNKbmbCKH+TPU4Eefm7k1HbaDplnrGpw2ESi4tzHFHFHcHfdn
azu4dgAJsSIRg5GzGcGgD1dESKNURVREACqBgADtTs5z7Vwlp4g1DTdcTT9VuAvklVl86RTuhYYE
mQF5D7QWwAQx7oTXbJPAzKkcsZLKWVVYcgYyR7cj86AJaKKKACiiigAooooAKKKKACiiigDnj4V+
yyeZpOr6lYFl2yKZzcK/viXdhvcY980weEWRdkfiPXUjbHmr9qDGQ+u5lJX6KQPaukooA5efRtR0
JPt2jX1/emPmaxvLkyidO+wtkq/pzg9D1yN7TdRttW06C/s5N9vOgdCRg/Qg8gjoQehFWq5e6Wfw
tqVzqMEEs+jXRMt3FFlntpe8qp3VurAcgjODk0AdRRUcE0VzBHPBIskUih0dDkMDyCDUlABRWPrH
iXT9GlS3kMtxfS/6qztUMkz++0dB/tHA96z/AC/Fusl/Mlt9AtD90RYuLoj3J+RD9A31oA2tWWzN
luv7xrW2RgzuJ/JB9iwIOPxHSsBfFvha1hW30xXvwuNsem2jzjI/2lBXPuTVu38EaKkkc99FLqt0
hyJ9RlM7A+oDfKv/AAECugwkUfQKiDsMACgDzDxR4x1W8kFjZeF9ThlZGTddjareYrBRhN5JyucE
D7p6VS1TW9TvBo9/qGvWtlIt35T2lhbH7VCZA0ZH7wksQ2F4Tr06V09xZv4q1yx8RaTqdkbTTxIs
ReBnbeRgnqMDGCPUYPeub1++iOq6fYWsqXcMKJd6rcopVAI7hZlCHBBJbeAM9AeetAHSeF9Bjbw/
qdteWk41mTMV7PcyiWV2KB1xIeCFDqBjgEHjvWxoWg3FiiXOp3KXV+Y3DbEwiF23uB65YDn0UcCt
+qdzq2nWgP2i+tou3zyqv8zSbS3CxydxqctxctvHlogIO05J+lQKHPmv8rIEOVK5GP61Ddahplmp
luLpUjPV2OVP49KzL3xVHPp80GlxeaqgF5nO2H2G4feOccAH3oUk3aOoNWV3oYElwdM1jVbSCLdD
NtSVcH5EVM4X0HzE4960PCOoadHaX0l5cx2MERDSzSsBlTnABPAPB9az9MtLPVfEUjX919pVozJl
8/vDt4XHQY6Y9qW30rTLu8k086ZGblJJGt7mQZeI5+U+2OK9SdNKi6dtbJ9jx4VJOuqrel2u/oaH
iS6/tt7UiNdN01CRG0x2zTZIyxH8IwOM/Me+KbpEHhzWLgxQaREjxAFpWQbmX1LdazbbRLnWLWJj
MxbeDgnOFP3iP89q2bnwwtnpN4tmXZzKGwerIP4f1zS9nQVNUnLXp2RSqYh1XWjCytr3eg7WfD9i
NNuTb/bIX2Yj2XsoUyE/IMFsdcV09l4Td47qzh8R6ukMse2RWMUm4EYPLIT+tZthbNby6TBdDzEj
DyEnn51UFR74yx+qiuh8O3ct3qV4wKYWPaFDcbs9/wCVedJWbSPUi20mzHtPB0Gp2h+23N3N4j09
wr3VzMzAthWyg6KjADBUArzzkGtvwfewtBcabLfLcapayEXY+0mU7s4yM8gDpj255rD1HVrzUdQm
lsnaxu7BRDfP9pUW2Tkx/Pjc5Vs/KFGdxBxxTbDTrzXLi6uJBfQ37W5ZJSktpFE/mZ2qBjKuApJO
5hg55wKRRp+JF03Qba8v/s0t3qUwkmCpubHy7fMZRxtRcDcRnHA61594c0+81aa4tLBlkjCtMEYK
FyHB2sepw2xhn1kGck49Ggs9Rs9TN9a6TIkDQ+VeQz3QlkmwSVMZLHplvvEZz0rD8NQ3Gn6oNR04
XieHbmQAR+QoCrgJGcsA5QDHAHHXcwzQBpv4d1iz0iC8ZrTVdVsrdvLS5iLuxwf3ay5UkHp8wOc8
4zV/w9Z3tnfyNc6Ta2olTmS1tY4xnPAJEjMe/bHvXQXN3bWUXm3VxFBHnG6Rwoz6c1Wi1vS55khh
v4JJXOFjR8sfwHb36UAX6KKKACiikZgilmICgZJPQUALRUVtcwXltHc2s0c0Eg3JJGwZWHqCOtS0
AFFFFABRRRQAUUUUAFFFFAHOaJD/AGNr17ocZAsWiF5Zx4x5QZiJIx/shtrD0346AV0Z5B5x71h6
9p9213Y6xpkSy31iWUwl9nnwvjemegOQrDPGVxxnNWNK1611Waa2WOe3vIMGW1uYykig9D6Mv+0p
I96AE0TQLTRI5WjZ57u4bfc3kxBlnb/aPoOgA4A6Vq0U2TeI28sKXwdoY4BPbNADqqX19Z2ixx3b
/wCvby1QIXL568AHj1PQd6xZPEGrR4H9l2TsBzsv2YfhtiP64rKlnuvFWpxBNNmt0tkZLrdKu2eN
yD5fTO0lAScZwCMc8Q6kU7XK5WS2nhyPUFuWsbu4tNHcoEiLGQXJQ4LNuOTGQAu3IyBnpiuHvbrU
dK8R63pVrAIFvDJ5KrPuia0SEqdqkcbW3MAGGCcYx19hFm8kapcMqwhdvkRDCY9CepH5D2qj4k0T
TtV8PXFreWyPHFEzREcNEwU4Kkcg/Snq/IWiOT121fR/C97eS+KLyS82yCGF9kiSSE7FAjILHLFe
5Iz+FbuieHfCd1parb6RaziP93I13Z/viwAzv8xd2TkHn1BrkrfxJB4h8OeELGU79WuLm3vJwwA8
vypd8hbuCfLYcDrjOMivT3uYIBFvkC+a4RMnqxzgfpShFWTHJu553qHhTRtLP9rabpFpFdWb70WO
JR5g7pwOCR09Dj3rJ8U6mLi2TCK6T5kR88IOCMfnW3rfizS7G/ubWV5WaGQhvLiLjOfujA5PqBnH
esC2+wyw3sF5BPHaWf72GOaNkbymGRtBwcA5X8BXTh5KNRNq5zYmDnSlFOxleCnt21+3imMgbBKZ
AI3Y5/Dqa764sbWPW/PXAlkXD7T0A7/j/Sue8IwaZcahe6naB85CrHIOY8jJOcnritnUtSsdLke4
nJ3sowka7nI7nHYepOAO5rfG1L1bK601ObL6dqN5Werat9xF4dtJLe2mglC+bBJ5O7pvUKpU/ipH
45rdkgEe0MeSMkVhzvqdg8dzaPaXd1eGNjaKhCJkAZ8wE8BR1xzjoM1l6zc3t1eX66h51xYW8IWY
WR8pVO0s+4ltzbV24A4OTkVxHoFzXNUjs7aKeyubea/t5FYW6vksD8rDCgngMT0PK1l+Db6+h+22
tpdzz3V55kFnGyGONHI3PIz7ePmD4By2B05NbOgOIrd7JkjElrtTKABZE52sAOBnB49QalXT5Y9J
TLMHtZopWaNih2ecDIQRgj5C1AHR6Xomg3lsxXR44nimAkjkG4pLGoUMDkgkDHzDmujAwMDpUFpa
Q2VuIIAwQMzfM5Ykkkkkkkk5JqegBGOFJzjjrXPeDtQhuPDVhAqSJNb2sIljdcMMoCGHqp5II9+4
IrZ1GdbbTLu4Y4WKF3J9AFJrNt5tK0WC1F1dW9vc/ZIof3kgBKKDjj0yTQBR8XrcLJYzWjp5ykpt
eQRgKzKGIfqjY+XIVjhiBgnNX9M0S4splnk1O5dyxaSEOWiIK42gOWYYPOQQSevHFctc6Wmo2U2p
3l7FqdtY3LraSSJkOH2q29gctEpZhtHULgk13Fhbz28chubr7RK7liVXaiDAAVVycDA9TyTQBboo
rJ1/xJpXhmx+1apdCJWO2ONRuklb+6ijlj9KANOWWOCF5ppFjiQFndzgKB1JPavPpLi++Js729k8
1l4QRts10uUl1IjqiekXq3U9BUg0nWvH8yTeIIZNL8OqwePSd3727HUGcj7o6HYPxrvYoo4IUhhj
WOJFCoiDAUDoAOwoAZaWlvYWcNpaQpDbwoEjjQYVVHAAFTUUUAFFFFABRRRQAUUUUAFFFFABWRrm
jPqHk3llKttqloSba4IJHPVHA6o2OR9COQK16KAOdh8W2tuy22vRnR7zHIuG/cufVJfusPY4PqK2
7W8tb6IS2lzDcRno8Thx+YqVkV12uoYehGaxb7wppl1P9rtozp+oD7t5Z4jkB9+zj2YEUAbEsUUi
gSorKp3AMMjNUoIzDrF1KsJ8qWJTvA/iXOf0I/Kub1Cy+IUZZNP1fSplCfJJNbeWxb3AJH5YrkBr
/jm4VZl1WOKB4pCZVt0wGTAI5TszYJ6cHnAzUuKbuO5a1TxJe61rGnGW8isbGyt4L2781jHEXKiU
HIzuxwAp6nP4dfrNxc6vpaXmmSW0irA0q25w0rlo2GzhgM/MO/UVzHhnw4bq/sodd0Sa5uUHmteX
L+bCEQ/II9oCAklTwDkA89qoa/ocGn+J5bOawtWtJ5xLD/osJxEwZn3MV38MTyDwF7ZFUIpeC9I1
O+1S/vJUGnPa3qJOvkrI0Z8kNjbhiRvkY5DDrn0rqfGp1W48PeZFr9qqwXkG8QReSzAyKMlyxK4L
A5GOhrU8J6TZ+FdZ8QabEwitXeG9h8yQnbGYxHjJPQNE30BFU9f+IXhmS1vLKzjn1uWNGaRdOh81
YsDJYyfdXHXOeMVFmth3T3KPhdoG0mHTpbi3e+jjJkSF1fdg4LEqcEngnHdqb4tjS0W2vHUyCGNo
pYB1kjbAZR/tZ2ke6471m6BqXiG5WPxBa+GYrwtbbJLq61VEBzhiQuMIOOnHrz1qS78S6zq1i8sf
gu2YW8sZ86LUonCtvVl6gZBIHPQ1UZXs0KS6Mg0nS54Vj02VZLO3uFmkZldTLNgqMNwQow3Y5PqO
+22gW6lWtJZYLzZj7TuLuc9mLZ3DgcH8MVDd+I9dttTsbuf4eXiRqHtyqXED5LlSMcjnKAfjWovj
S5jx53w/8RJj+5bRP/J6uc3OTlLdkQhGnFRjsjHiGo6I0jNZW0dqGkd3ZgsafKTlW3ZALAfLt43H
BOKybm4vLrQ9SnaykjtJJRcXMCTAN5bQgkFuw4BOMnniul1Lx7pE9o1jqXhLxHi5VkW3k0s5lO05
AweuM/Ss3TtV1a50e5sYPA+rXj3zkznUXW2jVSAoTcx3sAqgZxzye9SWReH7F/7Yv7s3Ev7pvs5i
c7wFChlIJ5z82fTnpxXTy7v7L1QsCoFlNx6HbWdbeHfGa2jF9b0nw/bDMjxWNr57D1Lyynk4HXHa
q2qeHfEotrVV+IE8tpeyiJpJLKFkO4HaPlxwxAXrzux3oA9LUkqCRg45FZura7a6MoN1HcENgKUh
ZlLMcKu7oCT6ke9cY2q+N9PvRaJqvh7VmEgiYvbTQ7XPRWdNyqx9D6il1XVvGlzClnqPgnzrRmzc
ix1BH81B/CA204Jxn1GR3oAs6k+r+LUubSwmktoG/dPGrIYwo+8HkAbLN93ah+Uck54p8EOt2a3c
s5v/ADZ9rSGG0jaVtiBQqybyvO3rtHLE4GeHx/ESysolTUfDniDS0UY/eaczRqPYx7hil/4Wp4ak
+W1OpXcvaK306ZmJ+m2gBlnaajbaNptjb6VdzLHeNdXKyuiKdzPJtBZtxw7Kckc7c+1dbY3Ek1oZ
LmOCF1YqyRTeYq4PQtgc+o7Vyf8AwkPjPWmKaN4YTTID0utal2kD18lMt+ZFZPh/wHLrenSTeJdb
1C/tpbu4kWzib7PbyZlYlyq8sGOSMnoRQBr3/ja41W9l0nwXax6leRnbPfSEi0tfq4++3+ytXNA8
EW2m339sarcyavrrDDX1yB+7H92JeiL9OfeuisbC00yzjs7G2itraMYSKJAqgfQVYoAKKKKACiii
gAooooAKKKKACiiori5gs7aS5uZkhgiUs8kjBVUDqST0oAlo6Vw7eNdS8QSm38F6V9shOQdWvMx2
invt/ik/4Dx70DwBc6wBJ4t8QX2ptnP2W2c2tsPbYhy31JoA19V8deFtElMOoa7YxTDrEJQzj/gK
5NZv/CzNGnGdP0/XNRXs1ppkrKfxIAre0zwzoWjRqmm6RZWwXvHCoY/U4yfxrVoA4s/EGY/6vwX4
qf62Kr/N6b/wnmqt/q/APiM/76Qr/wCz121FAHnep+K/FeoWn2W18B6vCkjASu11CjeX/EFIbgnp
ntnPWuV8R/2vqPFt4GktBE0cMkQ1KHETOVVHCKflc8DJHIPPSvabmE3FrNCsjRmRCodSQVyMZGOc
1wdvpraPa3wuIZExq1mi3Vw+Wu185CD64DOTkk5OfpQAlrqHja10tbCx8E/ZkVSEkfV4mZSTnPKk
de2MVmah4T8e+KBENTuNLtI4zlfMlaZ15B48tIx2HBJHFeq1nazqqaPaw3MqFomnjhfaCWG9goIA
BJO4qMe9AHlureDbvUbiLUtavJdamiuTbxtdyiKCYq2DF5SABVZgVDFj8wXIwa7SHV/Dt54V1Ky0
37NZeVaSLPZbFie3O0gq6dsHj0qX+wJdZuZ57kTafp11801ir/PMwxh3PSM4A4TnoSc8VR+I3hu1
u/At0lpp8Hm2qq8RVdrRoGBfBHbGcjvz1oAr/wDCv57iOST+0AolkEyoykhm3M25sY2uNygFcD5O
nJrOvrWe7gN5a6t9ulEsFtvbzI1kkV1dIyq7QVO/O5t4wa6rwl4o07xloMbpJELoQgXVqrZMZPBP
upwcGubsNHl8NvBbky3Si9j+yzQuXSQKFWRGySQ4EWcHjK8HqBElbVFJ30Lni24n0mzjvb9Jr27h
kE6y7THbQbMyYUc/MdgQFuSW6jOK75GV0V1OVYZB9RVK+u5Vt4/sthJfCfj5HRVUEdWLEcfQE+1c
/o99fa74chsrSGS3RYhaz3zSYwy/JJ5QxliCGAY4GeecYqySe11nTX1u+vZXnZ8i3tiIJGDRqPmK
YXnLlgSOu0egq/NrU7f8e2h6nP3VtscYP/fbqR+VasMMdvBHBEgSONQiKOgA4Ap9AGBf6pBdaTdW
+o2l7p6zRNGXmi3KuRjJdCyj8TWP4Zil1HVlleW0eztoluDFbTieL7RJkFlO0bcbXO3kZcEYrt6x
9HxLqesXKRhYjcLCjAY37EG4/g5df+AmgCHVPDEV7FOtrdzWbTyCV9vzJvBBDhT91sgHIxyMnPOd
a0+0eQv2oxtOAA5jBCk4GcA9s5qLVb8abps10QC4wkSH+ORiFRfxYgfjVi2SWO1iS4kWWYKPMdV2
hm7kDnAz2oAloxRRQAHpWR4Zl8zw/aKMfuVNuwz0aNjG36qa16zdLUJe6tGqgKLsMAOmWijJ/Uk/
jQBpUUUUAFFFFABRRRQAUUUUAFFFFAHPeJfGOn+G/KtmWW91S4/49tOtRummPrjsvqx4rFtfCWp+
KLiPUfG0itEjCS30SBz9nh7jzT/y1Ye/y+1bXhrwfp3hsSTo0t5qU/NzqF0d80p+vYew4roaAGxx
pDGscSKkajCqowAPQCnUUUAFFFFABRRRQAVxniKIRa6ov7qxS3vV2Qy3A3NAigb1RDlSzbm+b3AI
OBXZ0wxRmZZiimRVKq+OQDjIz+A/KgDm9OvdSsDJpkVheX8UGFhu5sRALyNrs3LEY+8oOQRnnNN1
q91G70iaJ/Dl8XXbKrRyQsA6MHUgb84yo7Z9q6nrRQBFbXMN5aw3VvIssEyCSN16MpGQR+FOmiSe
GSKQZR1KsPUHg1g2ematYxz/AGO6VVW4kaO1uFDRGMsWAUr8ycHHOQMdKspr9tE+NTjk02Rfl/0k
Yjb6SD5T+efagDmrH4fTWcKSwai8OoxrIUusBmEm75WxgZRlJ3IeORjoDUvgO4ttWicu8X2jRZG0
8WqOH8h0G13J7liDhvTjqWrf8U6yuheGL7UxKiPFCzRbjwz4O0e+TiuL0PTBoPh06to7G4vtMmnW
9Qdb2IuZCD/t7WDKfXI6MaAO7iuYbB5Yp5AiNcBI8IcAuMgE84ySRzgZ47iq/hUMPD8W4YVppmj4
6oZXKn/vkisnUr2e6sngt4Be3WoW8US+UilSANzy4c42gSDGT12iiHw9erbwwRQSrHGgRBeanIyo
AMD93HhT9M1MNhy3Owqhea5pWny+Vd6jawSYzsklAYD1x6e9UrLw7bG2jN/ApuBkOIZ5RE3Jwdhb
HIwcHOPU9auumnaHp89wltDBBGpZxFGAW9sDqT096oQy+1iG3jhS1Au7q5GbeGJx84/vZ7IOpb+Z
IB523sdQsp7E6vY3V0ltCpUWM3mRPPuLPJIh25JbBXggc962/D+kJp8El1JbxQ3t4RLOsagBDjhB
jsP1OT3rZoA5WX7f4j8i5NnanTYZXBsrpsSSSKSoZyAwG0g4XB5wcjGK2dGs7iytDHO1uFLEpFAD
tiGem4nLfXA+gqtPGul65FdL5aWt+winBHSbHyPn3xsPqdn47VABRRRQAVleH/Nl0972UANezNcK
Ac4Q4EeffYFz70uu3U0ViLWzl8u+vG8i3bbu2MRy+PRVBb8Md6wYLHxHb6ZBptu97DtjSATM1u6R
LwCQeGOBnGcngZoA7KimxoIokjBYhVCgsck49T3p1ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFABRRRQAUjKrqVYBlIwQRwaWigDjPGuiaXaeEruWCxgjkDQorhBlAZUBA/ujB7V0
N5pRlujeWlx9mumXZIdm9JV7B14zjsQQR644pdf08at4e1HTz1uLd41PoxU4P4HBpdC1BdW0HT9Q
XpcW6SEehKjI/A5FAHI6X4e8VeHQ8dlLplyN3lRSzK7OsCj92mMqBgdeTk/po/2p4ztPnudFsLqJ
eWFvO0b49gdwP0yK62ip5X0Y7nOw+NtFZGF3NJY3KHD2tzEyyg+gUA7v+A5rPk8TadqGv2YvIby1
0+FS8Ut7ZyQxSzkgLywAGADjdjJYY5FdRcwuG+0WwHnqMbScCQeh/oe1Li31KyeKaJZIpFKSxSLk
e6sKE9bMGuqLNFcqst54PMcVy32nw/v2JOcmWyBPyh/70Y6buqjGcjmuqBBGQciqEZGpqNR1Kz03
y2aOKRLydugUI2Yx9S6g/RDntnXrLsi3/CQ6rvznZBsz/cw2P/Ht/wCtalABRRRQBkai/keINHlY
ZSUzWwP91mUOD+UbD8a16q6jYpqNk9u7vGThkljOGjYcqy+4PNVLHVSs50/U2jiv1bapAKpcL2ZM
9TjqoJIIPbBIBq0UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR
QAVzmgKdK1nUtCKbbcN9tsyOnlyMd6/8Bk3fg610dYUnz+PLbb1i0yXf7b5Y9v8A6A35UAbtFFFA
BVK9DW4N7EQCgzKD0ZB149fSrtQXqNJZyqqFyV+6P4vapmrocdx88MdzbyQTIHikUo6kZBBGCKxv
BhkHg7TIZWLS20P2aRj3aImM/qprZhlWeFZEPDD8vasbweRJ4cjuFOVuZ7i4X6STO4/QiqTuInuG
ktPEtrMQPs93Cbdmzysikug+hBk/ED1rWrJ1OSObV9JsG5dpHuivbZGuM/g8kda1ABRRRQAVDdWl
ve27W91CksTYyjjI4OQfrnmpqKAMyLRltrmKW0vLyCND80Hmb43Hph8lf+AkVp0UUAFFFFABRRRQ
AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVzNlILbx/qq3pKTXdvD9iLfdkiQ
NuVf9oOzEj0YGumrL8QaS2r6YY4JBDewsJrSfGfKlXlT9OxHcEjvQBqUVnaFqqa1pEF6EMchyk0R
6xSqSrofowIrRoAKKKKAKU++yka4jQNC5BmUcFfVx68dR7Vi/wDCPalpURbw/rEiwICYtPuo1kg9
dqsAHUficeldP1qppzKLf7OAwa3PlkN1wOh/LFQtHbuPdGTp8h1y+0nXoozCIra4tp4JD88Ts0e5
T7q0RBroa5e8ZPC2uyamQsekaiyi9bnEE+NqynsFYAKx7EKe5NdOCGAIIIPIIqxC0UUUAFFFFABR
RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBztiX0vxj
f2L7VttRQXtt/wBdVASZfy8tv+BN710VZmtaPHrFrGBK1vd27+ba3SAFoZAMAgHqMEgg8EEim6Dq
NzqFpMl9EkV9aTtbXCxnKswAIZc8gMrKwB6bsUAatFFFABUFxbmQiWJtk6j5Wx1HofUVPRSauCdi
tBMt5C8U0IV8Ylhfng/zBrBbTNR8NBpdCH2rTVBZtKkOCnf9w/b/AHDx6Fa6C4gMgEkZCToDsfH6
H1HtRbTtICkoCToPnQdPqPUH1pJtaMbXVDdO1C21XToL+zkElvOgdGxjg+o7H2qzXOy6NqOl3Ul1
oFzF5UsrTT6ddf6p2PUxuOYyTyeGUkngZJq7o+vW+r+ZCY5LW/gA+0WU+BJFnoeOCpxwwyDVCNWi
iigAooooAKKr/brT7d9h+1Qfa9m/yPMHmbfXb1x71YoAKKKKACiiigAooooAKKKKACiiigAooooA
KKKKACiiigAooooAKKKKACiiigArC1HRb1NTbV9EuY4L2RVS4huAWhuVXOM45Vhnhhnjgg8YKKAJ
tM1trq/l02/tfsWoxr5gi8zeksfHzxtgbgCcHgEHqORnXoooAKKKKACjAznHPrRRQAVmatoVnq5i
kl82G6gOYbq3fZLH7Bh1B7qcg9waKKAMwaxf+Hn8rxCRNY5OzVYk2qg7CdR9w/7Y+U99tbNjrGma
oXGn6jaXZT7wt51k2/XB4oooAtSyxwRPLK6xxoCzO5wFA6kntWG3jDSmt2mthfXY2kx/Z7CZ1l9N
rBNpz65x70UUAVtK8KWdxogOt6fDLqF27XN07AF0lfnCuORtGFBB4CiptJuLvSdVXQNQne5R42ks
Lt+XkRcBo5D3dcg5/iHPUGiigDoqKKKACiiigAooooA//9k=