8859part1
eng
Census_Tracts_2010_Erase_City_Limits
002
file://\\0000vFILE009.in.co.monterey.ca.us\194-PBI$\PLANNING Division\Advanced Planning Team\Vacation (Short-Term) Rentals (REF100042 REF130043)\Mapping\STRs_Host_Compliance_2023.05.08\STRs_Host_Compliance_2023.05.gdb
Local Area Network
5667944.062500
6201596.987750
1808679.730500
2229019.983000
1
Projected
GCS_North_American_1983
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS["NAD_1983_StatePlane_California_IV_FIPS_0404_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-119.0],PARAMETER["Standard_Parallel_1",36.0],PARAMETER["Standard_Parallel_2",37.25],PARAMETER["Latitude_Of_Origin",35.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2228]]</WKT><XOrigin>-116466200</XOrigin><YOrigin>-92735300</YOrigin><XYScale>4000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.002</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102644</WKID><LatestWKID>2228</LatestWKID></ProjectedCoordinateSystem>
NAD_1983_StatePlane_California_IV_FIPS_0404_Feet
Linear Unit: Foot_US (0.304801)
FeatureClassToFeatureClass C:\census\tl_2010_06053_tract10.shp C:\census\Census2010.gdb\LatLong Tracts # "STATEFP10 "STATEFP10" true true false 2 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,STATEFP10,-1,-1;COUNTYFP10 "COUNTYFP10" true true false 3 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,COUNTYFP10,-1,-1;TRACTCE10 "TRACTCE10" true true false 6 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,TRACTCE10,-1,-1;GEOID10 "GEOID10" true true false 11 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,GEOID10,-1,-1;NAME10 "NAME10" true true false 7 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,NAME10,-1,-1;NAMELSAD10 "NAMELSAD10" true true false 20 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,NAMELSAD10,-1,-1;MTFCC10 "MTFCC10" true true false 5 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,MTFCC10,-1,-1;FUNCSTAT10 "FUNCSTAT10" true true false 1 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,FUNCSTAT10,-1,-1;ALAND10 "ALAND10" true true false 14 Double 0 14 ,First,#,C:\census\tl_2010_06053_tract10.shp,ALAND10,-1,-1;AWATER10 "AWATER10" true true false 14 Double 0 14 ,First,#,C:\census\tl_2010_06053_tract10.shp,AWATER10,-1,-1;INTPTLAT10 "INTPTLAT10" true true false 11 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,INTPTLAT10,-1,-1;INTPTLON10 "INTPTLON10" true true false 12 Text 0 0 ,First,#,C:\census\tl_2010_06053_tract10.shp,INTPTLON10,-1,-1" #
Project C:\census\Census2010.gdb\LatLong\Tracts C:\Census2010\Census2010.mdb\Tracts PROJCS['NAD_1983_StatePlane_California_IV_FIPS_0404_Feet',GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Lambert_Conformal_Conic'],PARAMETER['False_Easting',6561666.666666666],PARAMETER['False_Northing',1640416.666666667],PARAMETER['Central_Meridian',-119.0],PARAMETER['Standard_Parallel_1',36.0],PARAMETER['Standard_Parallel_2',37.25],PARAMETER['Latitude_Of_Origin',35.33333333333334],UNIT['Foot_US',0.3048006096012192]] # GEOGCS['GCS_North_American_1983',DATUM['D_North_American_1983',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]]
CopyFeatures D:\EnterpriseGIS\GeoDatabase\DataLoading\Census2010\Census2010.mdb\Tracts "Database Connections\eGeoDB1.sde\M_CO.Census_2010\M_CO.Tracts" # 0 0 0
CopyFeatures "Database Connections\eGeoDB1_DC.sde\M_CO.Census_2010\M_CO.Tracts" "Database Connections\egeodb3.sde\M_CO.Census_2010\M_CO.Tracts" # 0 0 0
PairwiseErase egeodb5.M_CO.Tracts egeodb5.M_CO.City_Limits "U:\PLANNING Division\Advanced Planning Team\Vacation (Short-Term) Rentals (REF100042 REF130043)\Mapping\STRs_Host_Compliance_2023.05.08\STRs_Host_Compliance_2023.05.gdb\Census_Tracts_2010_Erase_City_Limits" #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WorkspaceConnectionString>DATABASE=U:\PLANNING Division\Advanced Planning Team\Vacation (Short-Term) Rentals (REF100042 REF130043)\Mapping\STRs_Host_Compliance_2023.05.08\STRs_Host_Compliance_2023.05.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Census_Tracts_2010_Erase_City_Limits</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Shape_Area_Acreage</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateGeometryAttributes Census_Tracts_2010_Erase_City_Limits "Shape_Area_Acreage AREA_GEODESIC" # "US Survey Acres" PROJCS["NAD_1983_StatePlane_California_IV_FIPS_0404_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-119.0],PARAMETER["Standard_Parallel_1",36.0],PARAMETER["Standard_Parallel_2",37.25],PARAMETER["Latitude_Of_Origin",35.33333333333334],UNIT["Foot_US",0.3048006096012192]] "Same as input"
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WorkspaceConnectionString>DATABASE=U:\PLANNING Division\Advanced Planning Team\Vacation (Short-Term) Rentals (REF100042 REF130043)\Mapping\STRs_Host_Compliance_2023.05.08\STRs_Host_Compliance_2023.05.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>Census_Tracts_2010_Erase_City_Limits</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Group_1</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>Group_2</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
20230706
15255500
20230706
15255500
1.0
20190219
13163700
North American Profile of ISO19115 2003
FALSE
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
301-763-1128
301-763-4710
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
US
geo.tiger@census.gov
20230706
ArcGIS Metadata
1.0
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
301-763-1128
301-763-4710
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
US
geo.tiger@census.gov
The online copy of the TIGER/Line files may be accessed without charge.
Standard Ordering Instructions: To obtain more information about ordering TIGER/Line shapefiles visit http://www.census.gov/geo/www/tiger; Technical Prerequisites: 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.
File Geodatabase Feature Class
PK-ZIP, version 1.93 A or higher
http://www.census.gov/geo/www/tiger
http://www.census.gov/geo/www/tiger
Census_Tracts_2010_Erase_City_Limits
20100101
2010
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.
This feature layer offers two possible groupings for analysis using Census Tracts and approximating their County Planning Area.
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.
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
301-763-1128
301-763-4710
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
US
geo.tiger@census.gov
U.S.
United States
06053
County or Equivalent Entity
Monterey
INCITS.38-200x (R2004),INCITS.31-200x (R2007),INCITS.454-200x,INCITS 455-200x,INCITS 446-2008
boundaries
ISO 19115 Topic Categories
County or equivalent entity
Polygon
Census Tract
Tract
U.S.
County or equivalent entity
Polygon
boundaries
Census Tract
United States
06053
County or Equivalent Entity
Tract
Monterey
Access constraints: None
Use constraints: 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 boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.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.
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.
Publication Date
201001
201007
-122.057457
-120.213979
35.757022
36.943809
1
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.2.41833
002
The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons are tested for closure. The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database. Standard geographic codes, such as FIPS codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities. The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files. Most of the codes for geographic entities except states, counties, urban areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and congressional districts were provided to the Census Bureau by the USGS, the agency responsible for maintaining FIPS 55. Feature attribute information has been examined but has not been fully tested for consistency. For the TIGER/Line Shapefiles, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the shapefile attribute table. For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. TIGER/Line Shapefile multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a shapefile, the object count will be less than the actual number of G-polygons.
The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons are tested for closure. The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database. Standard geographic codes, such as FIPS codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities. The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files. Most of the codes for geographic entities except states, counties, urban areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and congressional districts were provided to the Census Bureau by the USGS, the agency responsible for maintaining FIPS 55. Feature attribute information has been examined but has not been fully tested for consistency. For the TIGER/Line Shapefiles, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the shapefile attribute table. For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. TIGER/Line Shapefile multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a shapefile, the object count will be less than the actual number of G-polygons.
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.
Accurate against Federal Information Processing Standards (FIPS), FIPS Publication 6-4, and FIPS-55 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.
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.
20100101
The selected geographic and cartographic information (line segments) are derived from the U.S. Census Bureau's Master Address File Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database.
Census MAF/TIGER database
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
0
Federal Information Processing Standards (FIPS), ANSI, and feature names.
EPSG
5.3(9.0.0)
dataset
Simple
FALSE
0
TRUE
FALSE
Census_Tracts_2010_Erase_City_Limits
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.
STATEFP10
STATEFP10
String
2
0
0
COUNTYFP10
COUNTYFP10
String
3
0
0
TRACTCE10
TRACTCE10
String
6
0
0
GEOID10
GEOID10
String
11
0
0
NAME10
NAME10
String
7
0
0
NAMELSAD10
NAMELSAD10
String
20
0
0
MTFCC10
MTFCC10
String
5
0
0
FUNCSTAT10
FUNCSTAT10
String
1
0
0
ALAND10
ALAND10
Double
8
0
0
AWATER10
AWATER10
Double
8
0
0
INTPTLAT10
INTPTLAT10
String
11
0
0
INTPTLON10
INTPTLON10
String
12
0
0
SHAPE_Length
SHAPE_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
SHAPE_Area
SHAPE_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDy/WdI
fT7ydVdXiV8Bs8/Q+9Y5ANekeJPDdxc3IvWJMZUAhUPUew7H19q8/a2kEpjCHcDjGK1hK8TjqR5W
VCgoEZyABk1t2HhnU9QcCK2dVJ++42r+Zru9H8F2ekSwy3hW5uchgCP3Y9sd6UppDjGUtjC8K+Cp
LhY9U1OPy7MEFUZsNJz29vevWXliPlpsjSNECxxx/dQYFcz4jlF1JseJ/lXcsanCsegBx0FSWd79
stY5ghQn5PLP8LDjFc0pOTuzpjFQ0RtXkjNIgL5G0jA7D+tZbDDBSD+IpJWxIVwcDgc96cGy2ec+
jGkUSpEXIIBYDknoBVXULhIE8jgGX7x7qPb9as7XIO0qFxzk96zL2RjLJJvjIPEZVvapZRkXccj3
Z8xBGSuMjvUMdubq6hgQLmRwp9QO5/LNaOBIgJwGUZ55JNWPDtqZdRmuCPkiG0Z/vH/6386qnHmk
kZy0OohVFjGOAOBip4mBBGMZ71EuFbgYHc075icMQc98V3mQr8HgAmo8FssT07ip3IThDkjrTGZm
UKcDv060DFjlIVl253dWzUTylmGBhR0xUg+WPr9726Cof9onA7ZoAeY90QbHGc8d6jZMHHI96VGO
BuOV9KmmU+Wu37v1oFYrjai+mT360Fgo4wSfXtUyqpgZgATmkWEEgsePQCgLFUgkfKpyPQVJGNpz
tyRV1IkOQo6VLHbBCCvLdyaLjUSoqF/+WeAfU1DcmW5lazhzDFjMsgHzAegz0JqxcTXIuJorWSMu
igkOM5J7A544wfxqSCDybXZuBfqzYyWY9TUq7KdlohyhIYY4Y1wiAD6Cnk7IQRtLHpmoB5ysAzhs
9BjFPkDeYmTkZ4A7UwvoAyBng+ue9QuJ1mF3a4MyDDKeBIv90/0q4vp5at9aU5J2fKvOTjikBetL
+1u7ZrmOVVKoSyNwUPcH8qpTTobdJHYFX5Udc1QvLM+YJ7ZVW4VsnHG8YwQf89qjkm1Nikj2UZjQ
cKpG7H06D86Li2ZcS2QxuZJDtDZGOAPaoZNzzlWUCLHXPanx3Md3b4h6r95G4IPuKbgcAg5UZJ9/
SmrCv3IXlEZWJQBzgVNCmbgPkRqvLSMcCmRWquJLuaRFRckZ9qbb2kmoL51xJIkBOY41baSPUkc0
m7bAlfRE8tzYzXJhUxvMBkgnBrQgQRQqBIFyMkYrPuNNgZkgiypA3KyfwN6g/wCc1Tkn1KGRo3Fr
IR/F5pQn6jaf500GiJY7grCrIF+VfnCjOK5kNcT34uGVfInJBjKr8vcds54/Ws6fVGulKbnSFDkI
P4hjv9cgfjV22hmt7bzZHKFsbFJ4/DPpxzXCa3uWZ7G3WM3LnyyrFVYMQqjHp69ao6ZLcpJPIt0J
Ynb92pALLjNXtPjl1ZZIpJ1QRcEKvX61SlVLSZ4I5CxSQqCR2wM8fWm00rhdXNBbeecMGIBO0szk
dD3qKG1t9M82ZbrepzuUknDDoaSxsb69vkjiGRgK7DJVB7mt6Hw/AXkWZn3rkZTndn2qb3GtTI+1
G4uACMIerHip5AvlkA7l7bOM1mXOm39nqT2tvbTTR4DrgfcFV50vDEEkZo1zyrgq30PtSGX7y6W2
sSdxyx2AZ5I7mslrpSoAcpjsetVFkleZyOXX5SpwSB7Vr6LqZtr0tcACGXAJVcbSOhxTik3Ziv2K
gmjJyZVGBXVaLZtBpsbHG+UmRu3Xp+mK1lDSAbfmBGePShsDsM9664UuR3M3K6IdrDOcn6c0Pvxg
EACnPkLnAAFQbix5HFakki7wjPgdOtRszsMtzTwx24zwKdhBES3GelAhFPyL6U1k3rxjcPQ9qeuw
9ScY4zUQkYNhTgUAKq5Py/Mx/SrDqQoAPzegp0EYVTngtyfpUiqxJYEYNK5SRHFCQAAMk9Sam8oq
enNN4APP41JHJjIDd6RSEEK5B6H1qpqMM0cLzQTFCB8+48Y74q8zlVLA5x17CswO+pSFmIFipyAB
jzT6/wC7/P6UrXBtIdp6BLTz9mwucnJyT7k9aleU7dwHzdSe5qYtvX5Wx9etQMx3kKSD7DNWRYak
vzBimfTDdamR4pMn7p9CeajEfJLjAPp2NMIG9gO386AJS+0bWZhQCiLlSxb60glwoYgdOoqIs2S/
XPRTSGWI5JNobIJzwKeqiRi8g59uKqDeTlpUAHQA4p5uMRkF/n9VPamLzI7yznjdbyMt5i9QMDcO
34/ofapP7RuZV2mx4zn94+0n/vkGrSXMk0QDnvg8dame3js44yUyX4K46DrxUtD0MtLFpiz3DAjd
uWJQQgPuM8/54q2LgRR+VIuHPRk6Cp1jgkZ8ZTcODnJFZ+BIxDyblGdn+0aEiW3HYuhHtFV2+YHq
R39qp3scZumYxsN3NX7JCeZDu2cqGqVr7acZWmtB2ueVX72aSxoL0Txq43bY8E8fyzVrTpDqN3bw
sjeVFuYEty2MdaZP4X8nT0SApLdbiWd2KgD0AqKy0meCRmvobgFfutA2Rj0wK5JU5LoaKRtFJLXx
BbNCI1WRyrsrZL8d6vala2UFwJ7ljGkhIJBxhsdf51iSXEEkUJ+xzwTRupDbdpftn/OK3rl4tY04
ywAebHkqDjKnuCKulrFoUt7mTJcXdhaDF1ItuHGNr4bpkZHv7Gr9lrV7YxiTfJIiHLtLGSoUn1PO
fx/OsR5IbaZUacNDMxOxuqjtn07j8q6OwvJJEjjmjT7NswCwOW44zmpjFSdht8prL4p0q+YRo8ru
x2eZHGSASO/eqWo6FLeK9xFdGeNRuCnnkDp7Gqi6Xp7Xfm2eYZevyDAJrK1C61i0mEVtc7lUggrk
GpnTcdyozuLJp9ihEXmlbmaTdGxP3B6kAdO34VQ2taXXlk7J1bjBypGO1TQ/a5YizEmSIn94ozx3
H9a0LfTLfVoPKJJkBB8z7pQ1AF3w9fPBI9k8qSZXemDwPVf5fnW2zByWxge1chBC+nahaMz7iJNh
cDAYHK/1rrj+6iErnYvqa66Mrx1M5bkUhzxnj0qeMW8qKsmA3qKoy3tmpGJd7Z+7GC5/IZprS3U7
gx2RVT0aQiPP4VrcRqPZRg4DYz055NUZG8tVTbyM8Y5qLy7+4be8sMS54CqWOPrx/Kh9OMjBpJpp
AOPvbP8A0HFAhTdxwTRLcK23PAVck/lV37FcagpmeX7KmSEURjOPUkmm2kENrbtOkYB77RyavxXs
MkeXdI3AwAW4NIZixMILyS0iiKoNpBJ68DNaSsqEjt0rNM5n1OaSEhgrKpbqCQOcfnVoLI5wjYHq
RSC5YyhYA8/h0psc9vclvJkV9pwcVSvYRHaswZ2UEF16krnn9M1LeRw+WlxFKscka5RwOMehA6ii
w79yHUJnFlPDI+PlPzAdaUXBaGP5dp2gso6A1EI7rUIVmuQsEI6RqdzMfc9h7VMojA649aaJY4kM
Sy5IPOcdKaVXYHALMeuaJIzgCNuG64pyEABScleAMUwHQyKTj7ueo6imkmKQq3Kv0amMMNweDQuM
E8ggfrQA1G54U4PHB60p3kgLgL6LShA8ZHGc1In7s/eAAPGR1oEReQxcptORjipFjUHouT1GaJs7
AowAx+/u61DtjhwFlBHTIB60AX7WVI5FdlyAf1pbi6kuXdjtZFyiY7ev61BHKkaZYYHUe9JbK3lo
pGFfktjoTyKQyYsAi4UB+ARjmnFY5eZBtCfpTJY2UlRzzjNSvz0UkdCxPAoG9dyZkZoygA8vbzJ/
Ws078/KpI7E1dmYSRCI8DGeO1QApGMSKrMec5pCa1MmPCYOTn86nklUYyA3Gfm5qmLsR5E0LxKOG
PYfj0/Wl8+MKHyCrcrmruIklbzYirouw8BSODTYIYrUs6IqFvmYr3pyiSQhtq7RwM08pIxA2gADq
aLIRSOl2krmUxnc7bjg9T1q/tR2ACEDPrTXlZBt3AZOOBRCpDbmbCjv3oSS2HcscRBVCEHsfb+tR
x2Dee0/3FP8AE56VYhfHzZUdsuSTVSaRju+fPPXPX86VrhcnCqnypKj544XgDvVN4LiLAsm2xZ3E
RkIxPrnBpyCQndztzjpVtPlTcE6Lwp6mlKCluCbRmSFjE1nc2k7I7cO2Dgn1I571qx6ZZI8X+jhw
o4ZyXI/PNDOZYctjI9BzUfzA/ISAe4NTGmo7Dc2y8y4HyJxjB46UpPyDzFzhe9U8z5IEjDjNC3Eq
H5jvHXBFWLmLZjwoxk54AU81JnIZQ2AoGc96iifzSu0bcDPXtTUaMNIzKsg6fN/hSGiHUJGCLErk
GTjIHQdT+lUzaJJhpx5gxwj4bA7D9auSRwujfL8pPy47H+lZojuEvPsgv3VSgMZZVY8dQDjtx1zQ
BoR5RQqAIB0A4FPk1K3i+VCJJR/yzj5bP9PxqoLGN0xM8kxPd3OD+AwP0qzFbxQJiPCovQIAADRY
adiLyBcZm1A7gPu2yn5R9f7x/SrPlKIVUxhYtuCmPyHsKGT5dznPT86dk+UCWXG7AFBO7sQxyFUV
GbCdN3p9f8aNpHzKNw/nUZUq+OPp1FSR4+6TuI5HfimA5AqyKeeD+VI2Adw253dKcVLcjcRnpUbs
6P8ALhsjkUDuLlMDjOf0pdoBOGBGOnpTQQegwO+405d5ziJWHXd2NAEe3dvIyGz+FRlnLruDEdDx
mrTRPs3syqPY4qqk2Hwp3KOc0IGWFjkcMCoRe2DyKV1iiTd5itt4Cg9BUAklBDxg4JxluM054pJC
PMcMAC2MUCI5JS6bI42yRgd607ZluLNVZCjwkAj6VUjVbeMvLLtBOOOv5UkkgMjpb+Z5W0ZyMZ96
TKWhMXPzfMDt6t/hUsssgjULt+XoMc1TRRlMngc4xUszEuqZ5HJoAmKucB9u3v70wSbQAwUn6Cll
mAUAnmoiATnzVH40kVsUppVXKjjjGMVAIIXO4Eo57x/L+f8A9elCkckAE1JnavAGTwKszIpYzGAk
biRh1BG0/mv+FMa4mTbuR0X1K7h+a1bjj2AgDJ7mpVICn5ee5JwB9aVguVVumZCAkbY/iRgachXP
zEAjsVx+hpstpayfOzDzM53R5B/OldLiJwFlV1IyVlXk/iP8KALcYEmAMKqHcxPerKeUAJCgweem
MCsnzvszDzIJox1zD8wb8B/UU+TVECB9syyHoskLEY/AUAXXwyn+EdQB/nqadH8oUSqT+f5ZqlBq
6CYPIiu+OCwZQPoCOKsHVrVc+btAx1Vs8/z/AEouFh3moWPYDIGRUUe7dj8eBSG7tJ2LJOhA688i
iOaEMSJAR9RRcRMZQSVO49sA0ryDyVCZAHvzTRNHuyNpP60LG7sSRgN16UDuRqXJ+QkMeSasF5W6
qhx3xikWP5chlGCR17Uu6N3JIbp1zQLUjV3Vuc8c0l5As8KnPlFTuRwB8pHf+dPZs8dQ3oKz1mn1
BWjDIlsDh0Byx56H+7SGizZyvNYo8mPMPOR3/wAO1WIkYuMqck888U8SwLzt2EcBRVhJwBiJPmHH
PT8aY7XKsy7WweT145/CiRSUweT14HIpGmkklJ2ghTiph5ssRPAI/hA7UCS1KSuwG3sfWnKuBwcD
+E4705mUrhl49hmlRw+B8uBzkdaAAOXTgDcODtPf6UisFPOBSNmNlk4APDf0JqR4jIxJPzeooQEv
nQtHlmUleelQvfIgARWI79qi8plPHJp6oCRksM9TgUWHdjJJWcAygqh5xmkUxbtyoi4/vNyauSQK
8IaRxleSQOMVRdoGcAsCOT6UIT0LqRRzBTvOF5Pp9KVlDEYePyl5OGyaghSNl2qW59OlQ3KxjFuA
Cz/ebJPHei4wh/f3BuJT6iMdgKtQxF2LLnj726osmOIxlRtHQ1a2rJCPnC+4PWgNyAkl2EYGwHlj
3qDK73OcsfSpZyqIkEb5/vY71CqESELyaBMkR8kMAWPQrjpQyTOd3m7fbpTV/wBcQAcgdKcbZWOW
YA0BuRTWnlDzN27A5BpETLZdnVegCir/ANpRog/luYyMhiuRikaQFtiRbiOTjp+poTApqMyCOIn1
+YjNNlXdKIwODyc1ZG1Sw2tGSfvYpBbrksWz7mncB8EEMZ37g5A4zTEt5JJmnlwQT36Yo8p1OInU
o3V/QUSSFbdUCFQ3C4OM0AVZHaWUlIxjJwccCnCI7lfIyOvNWPIAXczlVA9ePyqNWPmZKHy/4eMZ
oAlUuG2MAy+hqUxwdFUe+DmqwkCuACQCe4q4qM6FlXHoD1oBFS5sYJuWiBZR37iq39n2ZZf9Dh3D
owQA/nWm2Q+E54wTVd2ZnCqMHNIBj2VgYWRrWFyD1ZAf51WOnWOBmzgJ9EQCrroEQOSoUdc96YkL
v+/b5U3YBzwaLId2Vzots6E+THH6Kueaihs1jvQtsuFjXMjGQ4Oeg/Q1rBGuNxQERKccDljVQAJf
XMKqCcLuC9uP/r0rIAJlADGJjxjIIwf1qpMkkV7bzAoplJjcBuSMZ547Y/WtBfNc5AYgdNoyBVWY
n+1oSfm2wycYxjlRTYiw5hYAAsWPPHSpFRWQBWP3vmxxmmwRxO2G4JB4JpXAhyF5JGM9OtABGAoI
JAGc5NXknj2jkelVHQQxjPfB2kdalEMbxAoMHtnn8KTKVyq6EnO+mBQXBJQ49OtXRH/CRnuSelII
FJyq8HpgYp3FYrO/znPToAaZuaNlKKMemTx9KsPbbjwuPcmo3geNSWYc0C1InaWR9p+RR3Vsn9RU
0FtOF8yMrMFPAYYOKiEbM+QQB65q1ay+VGY3ztzw1JjRXnnZ1aLYUGcsp60g8q4YKyFfRu9JdSr5
zO6naBgEDr3p0cJlA2KVXHLHuKaE9yZY3gtHKSB2x8mR+lZ1xJMZMvgEe2B+ArRaTfkI4WJSMYxg
4qNoluZNwKkHgkVK3Ke1kVzcGWFUbGWb7xpchVy/BPRRSz2ixruZyU6cDmoreVZCYpAd/wDC3X8K
q5Gt7Mkh+8WboeQBUgBiRmYYz39KXEcAG9l3jqPSq5Jncn/lmOmTQPYdC+597OfbNK0hkYncQOnB
pWaLywiDe/qBxUJkjhOwqSfXNMQtrfsljDHwzFAF+mO9TRxSRncGKt1I7flVaTT5LNjLb/MP44xz
x/s+n0qw0wmiQgBsdGFABJcSNEyuAPlO44q55kRVQXUMegyKz2bzF8vBOeOOOKJLRAisUBAXo3OK
LAaCrzjd8p7dqVrTzk3F2XHYVlwM1u4aNcoBgoDxz6VfF2VIVhjPRQf8ilqMeEREI+ZseuTSA8fM
ODxyKja5QgjI3ds8Y+tSKyjaruroTw2BnPpRcYyRFVcoSefSpTcbU2klZcZ6ZAp7skew7goz3OKW
RUdWIGcng+tAEIPyhFbJJ5pqqokYqMtjbSLlWUkfMB09TQGKLtXlyecdqYiOZ2mwm0BF6dqXcyRG
Nhnn5R7+1Sw25lcksAOpY9qiLoj5Z2Zh93BwKQGiU+z6Wg34b1XqSaxRqBtpp1EEkYcg7liZ8jAH
UCtB4mMfnTytGGHyKOwqO2kKuQGLDoMgBc+5oGVY7u3kA2XUiHoQ6MP5iq05mlc3FuyJ9mjZmYnO
/vtP5fyrZnEiGJdwIbklRioLmXzfMiRFMjoVOQdvTvSYJDY389FL5VOo9aa/zHCsSB61Wt8+UsD5
EsYCsD7d6sRBQ/19uKa1Ex6yAxFGGW6Z9RUkcjMSN20Z/uA0hjDjOTuY4XFIilWIaTa306/SgNS5
CFY7g4YZ5HSpHUPkBiPXmqAVXz8z71OcE0odzuyCPUpxSsVclYrEAPf60nmxMRuxnPXbVdF3ZCpv
x/ealWJzyvyMOoPenYV+xNcLGw+XaPXFNjXPA7dTinCIEEce/vU0cicpjgdcUhkaSxLKGKkgelJO
FnGdgj9cNjI96dIN4zHwB0qvKVQAMNxPrzigNhJNuQiuuR2PIqeP5YSSAD7VDGN+AqBV9DT7mRok
VVB3H0oDzHKwJKgA+uadHBEsnmKOfWqSW4b77vuPJAbGauqVUYXoOpzSBFO/JDlmzhuAD2qFUwm4
9ByT6Vp3FvFdFT029KqXVs6Q4RgU7gU0yWnuVhkJv3FV7bT1qIAkZKbie+M1aW2kZIt2fLxnPapW
mRDtXdgenFO4rdyXfJkgNkD+EDrUElusjFoi0Mn8ZXBDH3Bp4cSr8hAJ5PtTi6gbQzOe7Y6Uxle3
jka4aOYqrABlZRww9qlaYh2QLkgVDdlhNEsUTtIpDhy3AGcH9M0uXLK5THuKQmL5G4gjcu7saHjK
M7MS4A4BPepldXbJZV9QRzUOF8wYIY9ST3pgVhDKWRihcdTk8VKId4JDEMpHt75qyyttOfv9MelM
MTAZB57c0XAY0k3mAoAO2/v+Zp0UhilDMQY8/OFGAPenM52bAMk+lHlPEBIwzkcYOCKQyzNc2ikq
jkydAEGSahVpY4+Uj68puyT+PrUFk0hgBRVIz8wA75/xzVtAWDbxg4546GlqDYjskqBkGG6HIxik
8vbIASPXJ7VBJ5qN5gPzHg+hpouJeBJGrD/Z6j/GmFy9OuIh5pMo/g5OPpTI1S4keQhViUAbQP1q
PzFkiMe4ZPZuCP8AGrEEf2iRV3EIB82B1oH1GSXBkswepHAIqtEWMaxofmf5mIGcZ7VPc75GMcAO
EHFQwqEgDJnaD1bqxpARX1vM0YZHHnR8rgfeHdT7UyOUXESOv8Q6entU6jA3t9cnvUUkP2Wd5Uw0
EwBJA5Q9yB6UbBa5OksatyGXjA2nrQCshI5BByKhyCNwIZOzDuKM7yc8Y9KZNy15TNG2VHPcUjBY
Y1K5RsYIP8VEV28SbCAyn1603zlZSrOvPZh0oHdEJZkfdjGew4q5EVkKrkAt2zUPmgjIZMDgZ7VP
HH5tuCe2eV7UAhZ3MJ2iPcP7zU23haRvMfgelMMG6dfNkDDvxippZ/LO2PAQcc96BoJCQu0LgH0q
lcKwwMZx3q9HIMBnIUn1NJI0ZUYILE8AdqBvUjhACDjHFQSSyyy7Y8L6E9SKldnIKxqWPTPQUgVI
Yt0uQM9D2pAxVUQpwPmb9TSlCsJwST1z6CoXvIhICNzKB1A6GmG6llUpEnXOSaBXRZjmLuAoxGOS
x71G19JIpaG3ZoP4X3BQ3v67aq20aXdw5lU+TCMEdFZz+hwP51amaSRMhPlXovTdU7lJ2RCbm5WC
TzIzNEOrwtyPwP8ASqqzxTqJIo5ZEPRkjZgfoQMVqKyxxAupGR90DgUu6M8+eVHYZxTWmwnZ7mdH
K8TkhF2VaWZJF5YJ34qOOBcEyY4HTPNQGfy2YiH93j+KrIJ5IjJeookYBYiRtPTJ7/kaY9ldIMx3
CP671x+ox/KnWU4klknkTajKFRT1AGefbrTpxcOMrkr2pIZHGsik7oN4HXY27+eKatzbq2AfKbuJ
fk/nSxmdG3YXj3FK07SuSwU+vGRimIXcZmyGyD05oVinI4A6e9Pit7Jo8p/o7nrsO0Z/Dio2t5Yz
+7lWVegEi8/mP8KQyXcPlLDB9+9Ny8jZY/LTNzhiJ4nRQMB0+dT+XP6VOjwupWKRW5ycEce2KBWI
oZGt7hokOA/z/lwf6VYuFkxw7MG5Iz3qoMSXLsBnaoXp+NSDdHhl4x1BoQdBAvOCxzTgBucnPFPY
ByHXgH+dEanDHIJ64oCwwLHKCsu8f3SDjFWI4p7dTslDKwxg9cfWq5G4bm4UdBTo5mjYMeQe1AJl
pJ8xYWPnOM+/eq4VtzKpHByB9f8AJp4RirzIQY92WU9V96jfdJKrrlRt/A0ig288nce/NOY7wBwE
TvjrQcY7bsc+1RHnlsnngZqhETn7MhaMF4N26SLGcc8lSOnrirLhAFaMAqOcFup7fhT1k2Jk546j
+lVZbJgrMihA5zs7HvyOx96nYrcVSPMJYfgKeXjbYCuCDz71WWSJlG1yzYGY8YYfUf1FOZgvy9fW
nuQ7o1Vhh84PGFIHBUj9aY1qwlYq5Ck5HUVSjlO0EMQyjj2q9HdK4w7j054NLVFppkSxFpf3jMHH
IY+lROElY5IBHU+v4VacjJI5OMfhUDQeZjOM7OtCYmuhLBDGEJVt3rSSt5SAHrjAFQraKilnk2rj
JJOMVAtxYxuWF9EzdOHBo0Gr9idnkUbY5VwPXrVd1dm3Tk7AeWY8U6KSWcMbeCMoTgNK2Ax9sA5F
TW+mxROZJ5XlkUdScKp9gOn86Vw5e4xFxERHCoU9PNbBPvtxmmx2jThjNK6xDghPk3f1x+NT+eEI
EC4QnqRgGnpAsvzSqCxOeKLdw9BjGCNY4YflVTzgcfnVpTkblXeR0GaFjC9AB60v7tG2Agbuw70D
IRMxdlkXa/TGaryTAOQsYfHfFPugI8Dcz54G45INRrJHEoUxOT1pokjns7QEF7uRx1CmU4/So4oI
NuGDEdtzMR+RNT2tvFcoZDhTuICngj2Io2qku3cp4x9KZJCkbKxblz1J7VZTzJmBb5R27ginGJHX
ar9OSB3pkUixPskA2n8cUwIbmHyz8gyp71FFzjdwo6nFaEzbUCx/Mp6BR1qs0BdchSMfw9z+FAWH
pMnmbkXCYxUy3KE/KFI754xVGX5TwpGTwOlMHTDcHtRYDWITZv27h6Cqlw0NzGENuny/xHkj6U2K
RtrRnJ4HOaRmEjBEAAHalYLlGC0dVMkMzruYna3zD268/rUomuYyVkhDDs0Z/of8altimWjLhXRi
Meo6/wBasPavt3gAj2oQykl7F5nl79rf3XG0/rVyH53GDgdCaGsWaIB48g+oyKqzWY0+4tpIyyiR
yrJuOOhPTt0oBJk75DbWPTrznNKqtLwo+gPans4cDKjJqNUkjIYHnsaBWLMPmW7le7DuOtSuTKpy
qqy4JBqrulf7zZ/pTlYndljkDt3oGSsgYcHGeTioHKiQquODjJqdwXC8sQB/CMU3c2MJFgL3zTAR
lVdpJLcZOPWoxc9VPNKA8rlgof2JwKkiiEm4syoADgA8UgGQQxSKVlQSMfuhhkCorrTbdMYiZB6o
5qzHbuVMqHoKmu1P2LdIQHUg0rFdDGWVoVKzbmRek23jHvgcVMEdoyygkHnPrVkoYyrAEhhkD1FV
zaWzsP8ARwueykj+VGvQl2e41pJLT/WHanfdVlL1JExaf6Q3TcOEGfU9PyqKO1tYyDJaREDncw3E
fnV20jQW5kZNombeFI6DHHH0ApO5SViutqDKTdMJpcEqp+6v0H9aZYESK8oACFiQAO3QfoBVuZBA
Q+4dfu45xUejlX08j+FXZA2OoDED9KLILse+fvDOV7YqNopJuZGCr/dHrVsqrOZGwAOmOaduUnhQ
Bnv1phYgWJQAhw3c+1SrhRwMUu1VRiB83TNRHhz8w2Kv60D2Hb9+cdOlRzFVlVyuSnQj+VOhyFRW
GCRyDSTMivuIP+yAKBEHzNIZH4HuKc8oVsZ/SmGSRuAn1Jpny99+fY0xFR7wyMkkLYhuMKx6FXBx
gjt6fhVh4lRMZHHOWP8ASqljCskl5bFwB5pbH95WAP8APNWArmHymyZkO1/cdj+NCEPh27S2Mkdq
aIy6u4YFuw9KQZifawJB4NKd0Uo3dz0piHRSsr8EAnrjjNSSDaSq8HrlupqCQ5f29qlR8cFypxw3
WgB4iVm8xm+Yiq8kREhY9qkLbz+7VwT7ZqVYy6ks7HHTdg4oGQEYjJHeogSh3A4NWHjZMY+maR4w
0YK43Zwc9qCWROWaDCY3AhixFWEfcwVmYL1xmqoyoI4PerVohuGIYkBB19QelIcddDQt5VMeQDtU
cd6yNVuEXbOxOxHDf0rULiAHICrjge9ZM5inDRzrvDcsKSLk7IaLzKjEFwRnJGyp0uY5hkblKnaV
ZcGojNlDhcCq1owcSPk5aVv0OP6UyLl5pew4FIQCeGwPU0qlSMOmT2IpTs6/wjn0pgSxM4TOWwpG
DVhIvMJGVC98Dn86ppK275chDgkfSrCzosoIbK+uOSKQJizQrGNq53Dpn0piI8gEQUdzx2FWGmDI
QuWQ9fUVVdSHJjLYPAA70DNFSscGNwP06Gqsqeao80sAo6DvUMbMjgSM2OmAOtXhtYAgYBGSfWls
VuRl/wByrYyQMCqzna5eQElh8ijr1q1LJb7CjSgY560xRGkPmE5wOWPpQD1KktwksS2sakyyMMgA
8LnnP4cVqDau0sTn2qtao3Nyy4aXt3C9h/X8aLopGvns2EX77e1AbFHUL94meFFBlY/IrfqT7U61
We0tkUbWRRnjjJqGBN08tzcqS0n3d3XaOg/z61oQxgL8quM8kNQLdjkvopARICnNO86JpMggADjP
FVntSXyBxnGB6VE6EcvGcZ4zQF2ixJdoGQg/LyeKYZmKDER65JPrUCKAxwOCcDipmfy32K3GM4pi
uyeObzG+6AR79KSQHd9fwzVc4bDglSKf9oY8HLY7mgd+5MkYOCc59jUgiUjqB+FMgbeC2QcelRvJ
OzZRFA/2utIozbywXPmgskq/dkjOCMnpnuPaoWuZovlvY/NVR8txEv7xceq+n0/KtVLiNzhiPYUM
9q8mCV+uaZCM5bgXzhkYN2DJyCfUVLOhMiqc5JwOOtRWcUen397tkxGwV0X6k5x/nvWhEGkuEuJF
Cr2HfFCYWGT26RD5pPmAxjFVQC6Zx0qa4ImuHEZzgZwKfbJH5EjYII4+9waYiIOcEbu1Tkh4sIh4
HUGqYw5YAZOe1DYC8syigCcu6xHPQjoRTUnJIGR9KgCllJVw1WkgxiSM7h0bAwfyoENlCh/lHHXI
q1b4aNlRsENkn1/z0/CnxgTIUXb5Z4IIwRUIi+z3JQt8oQn68/5/OpZcdBt2+7Dbw2OwHAqqiMz5
YAA1IqedKEyFHfFWVtQmDIdw9KomzbuN+wqyjBKjPPes0Wt3ZAJ5CzRAnDxvzye4I/rWpv28fkA2
cVIoldsZ2r60irIy5ZmgO2SCdAOhKZ/lml+0wyEKZ04/hJwfyNaUsgwU4Yr3NViquSJQDnuRmgVh
iyr/AAHJ9aVS4+7g5PQ0xrGHO0xKM90+X+VJYwu9kjbt3XqcnGaBWJyrsM7cAf3afC/kOshfjoaT
7gO7J4qpbWy3UBmuNzjBPzcqv4dKB2Lct3FcMXh2SZONwORSSXVxIgjRDgDBAFUtH2eRJwEbOfL7
9Bz689atf2kq+bDErFgvyknhj3A9fSgLBBLHJKYGt98ijLbSAR6DBp9zKs0kVvslVAQZCy4yB2p1
tY7LPzZFImHzOV7tUi2hEHnlzvPIHagexfYCUFopMYHTtWW7fapypz5CHBCjO9h1J9h/OpLu6kto
0SJQZpSVDN0Axz+VNtZWtoUSOIZVQMnPOKQ7iPGQRKqysucEt6VoxAS4CjCYyTUaThgWmBUEdjmr
kKoUDKMbhkY9KYIpzOI4cZ5J6gZwKSKIFPM3Mf8AeqSNIuv3uTgDqeameMtGpUfMDnFAFWR1iG4q
OW4wOtQyRxHEkwwT1wcVM25sKcKFPJb1qu4fzCU+Zh3YjOPYUCFaEKcoRg9FJqJUc5bGSx4561LB
GrZaQMXzyW61YSMGXzB+ApXCxGD5UR7M3A46UwrOed0Y9sZovcRhSrEuxGQB+oqAPFj5pZM/7WRQ
O5B5MbJuZAh7MKjywk2PsYY7jOaKKpEDDGrarbhfuiNyw7Ecf1xVuSUFjvlZwO2MAUUUhlVAd4cA
g5zmnNJiEdtxyQOOKKKYh9qS4fbsBxyXOKf9lZpP3joEXvkUUUMZNLBHEgEe0gjPI5/OobeXy5On
DYB/xoopEvc0WlCPsbc3Ab5EJP6VUMMk115s3mRqyEBN3IHvRRSNGSG32ptibJ67ieajSZpAVk3B
OgbHBPvRRTJehai06JzuDMSBkkdM04wMsLbjk5zwcUUUrmiSsVGt8/Opznp61AX2nJ6fzoopmUtC
QyL5ZPPHNV4bq3ttNtyZArFADnjPGaKKATGi/t3Yl7qMDp9+n2l/Gtk0YZCkTMGYHIPcH8j0oopX
HsVxayGzjkBKSrk9SPlznbke3FaenrDdWUMq2wVFG5c4yvH6d6KKARqxgmLawC5HAFZj324m0iKr
s4aVhkL7Adz+lFFBTdkQKsLSliWeXGA79/8AAe1TZDAID93qf/rUUU0QnckaIFAWbcOmAOtWVVjA
dh2dgaKKRaQwReUAiHGOS1Sm6RYwhbYc9WPP1oooQPQh8qIklSSx53Z5p7oqKpIy57miigCsz/aM
pGNoB+960+SYQ/K7Y44OeaKKAvpcpSTyTSIWJCdtp5+tS+ayfKw3n1oopko//9k=