20130514
10290600
FALSE
20260204
18110200
20260204
18110200
School_building
002
588260.287000
591612.359400
5483273.016400
5488485.696000
1
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_11N
<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/3.3.0'><WKT>PROJCS["NAD_1983_UTM_Zone_11N",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["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-117.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26911]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-1073.7418235</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26911</WKID><LatestWKID>26911</LatestWKID></ProjectedCoordinateSystem>
1.0
150000000
5000
ItemDescription
ESRI ArcCatalog 9.3.1.3000
en
REQUIRED: A brief narrative summary of the data set.
REQUIRED: A summary of the intentions with which the data set was developed.
REQUIRED: The name of an organization or individual that developed the data set.
REQUIRED: The date when the data set is published or otherwise made available for release.
Buildings
Buildings
vector digital data
withheld
REQUIRED: The basis on which the time period of content information is determined.
REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.
REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed.
REQUIRED: Western-most coordinate of the limit of coverage expressed in longitude.
REQUIRED: Eastern-most coordinate of the limit of coverage expressed in longitude.
REQUIRED: Northern-most coordinate of the limit of coverage expressed in latitude.
REQUIRED: Southern-most coordinate of the limit of coverage expressed in latitude.
REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
REQUIRED: Common-use word or phrase used to describe the subject of the data set.
REQUIRED: Restrictions and legal prerequisites for accessing the data set.
REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.
Feature Class
Esri ArcGIS 13.3.7.52636
School Building
The building footprint of schools within the City of Cranbrook.
school
school building
footprint
0.000000
1012.846700
1
-115.781156
-115.733667
49.542544
49.495171
en
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
REQUIRED: The person responsible for the metadata information.
REQUIRED: The organization responsible for the metadata information.
REQUIRED: The mailing and/or physical address for the organization or individual.
REQUIRED: The city of the address.
REQUIRED: The state or province of the address.
REQUIRED: The ZIP or other postal code of the address.
REQUIRED: The telephone number by which individuals can speak to the organization or individual.
20100122
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
002
withheld
Local Area Network
Feature Class
Enterprise Geodatabase Feature Class
Vector
Simple
FALSE
12
TRUE
TRUE
GCS_North_American_1983
NAD_1983_UTM_Zone_11N
coordinate pair
meters
0.000100
0.000100
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
Explicit elevation coordinate included with horizontal coordinates
0.000100
NAD_1983_UTM_Zone_11N
EPSG
6.11(3.0.1)
12
School_building
Feature Class
12
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Building_Type
Building_Type
String
50
0
0
Name
Name
String
50
0
0
Shape
Shape
Geometry
8
0
0
Feature geometry.
ESRI
Coordinates defining the features.
GlobalID
GlobalID
GlobalID
38
0
0
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20260204
Dataset copied.
withheld
20100205
16113600
Dataset copied.
withheld
20101014
11093200
/9j/4AAQSkZJRgABAQEAYABgAAD/4REARXhpZgAATU0AKgAAAAgABAE7AAIAAAASAAAISodpAAQA
AAABAAAIXJydAAEAAAAkAAAQ1OocAAcAAAgMAAAAPgAAAAAc6gAAAAgAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEtyZWZ0aW5nLCBDcnlz
dGFsAAAFkAMAAgAAABQAABCqkAQAAgAAABQAABC+kpEAAgAAAAM1NwAAkpIAAgAAAAM1NwAA6hwA
BwAACAwAAAieAAAAABzqAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAMjAyMzowOToyOSAwOTo0OToxMAAyMDIzOjA5OjI5IDA5OjQ5
OjEwAAAASwByAGUAZgB0AGkAbgBnACwAIABDAHIAeQBzAHQAYQBsAAAA/+ECsGh0dHA6Ly9ucy5h
ZG9iZS5jb20veGFwLzEuMC8APD94cGFja2V0IGJlZ2luPSfvu78nIGlkPSdXNU0wTXBDZWhpSHpy
ZVN6TlRjemtjOWQnPz4NCjx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iPjxyZGY6
UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5z
IyI+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9InV1aWQ6ZmFmNWJkZDUtYmEzZC0xMWRhLWFk
MzEtZDMzZDc1MTgyZjFiIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8i
Pjx4bXA6Q3JlYXRlRGF0ZT4yMDIzLTA5LTI5VDA5OjQ5OjEwLjU3MTwveG1wOkNyZWF0ZURhdGU+
PC9yZGY6RGVzY3JpcHRpb24+PHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9InV1aWQ6ZmFmNWJk
ZDUtYmEzZC0xMWRhLWFkMzEtZDMzZDc1MTgyZjFiIiB4bWxuczpkYz0iaHR0cDovL3B1cmwub3Jn
L2RjL2VsZW1lbnRzLzEuMS8iPjxkYzpjcmVhdG9yPjxyZGY6U2VxIHhtbG5zOnJkZj0iaHR0cDov
L3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+PHJkZjpsaT5LcmVmdGluZywg
Q3J5c3RhbDwvcmRmOmxpPjwvcmRmOlNlcT4NCgkJCTwvZGM6Y3JlYXRvcj48L3JkZjpEZXNjcmlw
dGlvbj48L3JkZjpSREY+PC94OnhtcG1ldGE+DQo8P3hwYWNrZXQgZW5kPSd3Jz8+/9sAQwADAgID
AgIDAwMDBAMDBAUIBQUEBAUKBwcGCAwKDAwLCgsLDQ4SEA0OEQ4LCxAWEBETFBUVFQwPFxgWFBgS
FBUU/9sAQwEDBAQFBAUJBQUJFA0LDRQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQU
FBQUFBQUFBQUFBQUFBQU/8AAEQgBLQE1AwEiAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAAB
AgMEBQYHCAkKC//EALUQAAIBAwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNC
scEVUtHwJDNicoIJChYXGBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0
dXZ3eHl6g4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY
2drh4uPk5ebn6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//E
ALURAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoW
JDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWG
h4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp
6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A/VOiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
iigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKACiiigAooooAKKKKACiiigAopKWgAopKM0ALRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR
QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAJScetN3civHf2qviFrPwu
+C2sa/4fmjttVjeGGGeRFfy/MlVWba3yk8mplLljc1o0pVqkacep7F1/+vR93/61fmp4F8EftD/G
zQV8VaT4y1R7KZ5FjMmuyW+5lba22NW2r8w/2a3ms/2tPhmu4Prmp26/9NIdULf8B/eNXP8AWP7p
9BLJYxl7P6xDm9T9D/0pGr89P+G0Pjt4cAt9V8IWjzL95r7RbqGT/wAdkX/0GuT8bftkfGTWri1t
LyYeEobgq3l2Nk1u0i7v4ZJNzf8AfLUvrNMcOH8VN6Sj95+nNLTV5VT7U6us+ZCiiigAooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBtfPf
7d3/ACbfrn/Xza/+jkr6Er57/bu/5Nv1z/r5tf8A0clZVv4bPSyz/fKP+JDf2ER/xjjof/Xzdf8A
o56+hNx2/d5+tfmD8Gv2hvi14D8B2+h+DvDUepaJaPIVuBpU9wWZm3NuZW2132mf8FFPGWh3Bt/E
/grT55l6x27zWcn5SeZXPTrwjGMZHvY7JcXVxNSpT5ZXfc+/l+ZRnr6V+fP/AAUQXb8YvCOP+gYv
/o+SvRdO/wCCknhGWPN/4U1u3m7i3eGZf1Za+bv2lvjppnx8+IeharpGnXlhbWdstrtvQokdvMZs
/Lu/vVNerCUPdLyfLsXh8V7StC0dT9Vo/uL9KdTU+4v0p1d58YFFFFABRRRQAUUUUAFFFFABRRRQ
AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFJS0lAEZGV44r59/bu/wCT
cdd/6+bX/wBHJXtHizxZpPgvQ7rWNZv4NM062XdLcXD7FXr+Z9q/O79qT9sCT4w2U3hbw9Z/ZPCv
mq0lzcL/AKRdsrBlYL/yzTcP97/0GubEVIxhY97JsHWxGJp1IR92LPqn9hPH/DOOh56/aboD/v8A
PXuWq6Jp3iC0Ntqen21/Cf8AlndQrIv/AHy1fnJ+y3+1+/wdsoPCviOz+2eFPOZo7m3H+kWjMxZm
/wCmi7ifl+9/6DX6I+FvFmleNNCt9Y0PUINU064XdHcW771PT8j7UYecZQ5R5vhMRhcVKpKPuyej
OM1H9mn4W6m/mTeA9DRv+mNmkJ/8c21t+F/g/wCCfBNwtxoXhPR9MuFGBc29pGsv/feN1dpgGjYP
T9a6OWJ5EsRWlHllUf3jqWiimc4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU
UUUAFFFFABRRRQAUUUUAFFFFABRRVa5uYrO3klnlSGKNdzySMFVQO5NAbkzY6Yrxv46/tM+FfgVY
ul9N/aWvOha30e3ceY3+1I3/ACzT/ab/AICG6V4R+0R+3hHYfadB+HMsdzdfNHN4gZd8Uf8A1xX+
L/eb5f7u7rXzJ8K/gr43/aJ8UXU9kJriJ5d9/r2oszRozfe3N/y0k/2V+auKpX+zTPrcDkvufWcd
LlpkfxJ+LXjj9o/xdbpe/aNQlkk8ux0OwjZo4t38Mcf8Tf7TfNX1Z+zv+wjaaH9n1/4jRw3+ofLJ
DoinfBD/ANdm/wCWrf7P3f8Aer3H4H/s2eFPgdpoGlQ/bdZkQC51e5X99J/sr/zzX/ZX8d3WvXve
inQ+1UFj865o/V8D7tM+MP2iP2ELTX/tOv8Aw6SHTtS+aSbRGOy3m/64t/yyb/Z+7/u18p/Df4te
Ov2cPF1zHZfaNPljkxf6Lfxsscu3+GSP+Fv9pfmr9e8d68j+OH7N3hX446aRqsP2LWY0IttWtl/f
Rf7J/vr/ALLfht60VKH2qYYDOuWP1bHe9TK3wL/aa8K/HTT1jsZzpuvRIGn0e4ceav8AtRt/y0T/
AGv++lWvZFx6V+RXxU+Cnjf9nXxNBNe+dbxrLvsNe05mWN2X7u1vvRyf7P3v/Qq+mv2d/wBvCPUP
s2gfEeWO2uPljh19V2RSf9dl/h/66L8v97b96inX+zUHjsl9z6zgZc1M+3qKq21xDfW8U0Ekc8Mi
hkkjbcpX1Bq1XafJbBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
FFFFABRRRQBGx9RS8baOeK+eP2nv2rbT4DpDpFjY/wBqeKby38+CGQ7YYI9zKssn94blb5V67Tyt
TKSjHmkdGHw9TFVPZ0leR6Z8Uvi34a+EHh5tV8R6ktnHyIrdfmmnb+7GnVv5DvX5zftAftY+J/jl
cS6db+Zonhbd+70uGT5rj+60zfxf7v3f/Qq8s8dfEDX/AIk+IJ9b8SajNql/N/y0kb5Y1/uqv3VX
/ZWv0D/ZX/ZV8L+B/D+ieMNTUa54jvbaG8hlmjHl2W9AwWNf73P+sbn+7trz/aTxEuWPwn3SweGy
GjHEYj3qj/r+meI/s7/sMan4wNtr/j5JtH0RtskWk/du7lf+mv8AzzX/AMe/3fvV9/8Ahzw3pnhL
R7bS9GsYNO022XbFbW6BUUVojA4ry/8AaM+La/Bf4Vap4gTY2ovttbCOTo9w5wv/AHz8zf8AAa7I
040YnyuJxmJzatGEn6I5v4+ftXeFfgep09g2veJWTcmlWsgXYP4WmkP+rH/fTf7Pevj7xB+3d8W/
FF4V0e5stFVvuQafp6yuV9f3vmbqofs0/AO//aS8a6jrviW8um0G2uPM1G93fvryZvm8tW/8eZv4
V/3q+rfjz8QNN/Y98CaKngjwppULahdfZ/LdGVdqruZnZfmdv9pmrjvUqL2nNyxPo40cFl9WOFjT
9tW8/hPmHw/+3d8W/DV4I9YurLWlH34NR09YXC+v7ry6+v8A4BftZeFvjapsMNofiRV3Npl04YSD
u0Mg/wBYPbCt/s12dpovhr49fDbRNQ8Q+HrW8s9X0+C9FrcxiRrfzolYqr/eVl3Y3Ltr8/f2lPgL
f/s2+NtO13w3eXK6Dcz79Ovg2ZrSZfm8tm/8eVv4l/3av95R97m5omVOOAzVugqfsqn4H6aeI/De
meLdHudK1ixg1LTbldk1tcJuRl+lfAP7RH7DGpeEftOv+AUm1jRgfMl0n/WXdsv/AEy/56L/AOPf
733q+v8A9nP4tr8Z/hVpXiB9i6im61v44+iXCHDf99fK3/Aq9QODxXTKnGtE8HDYzE5VWlGL9Yn5
WfAD9qzxT8D7qLTpvM1rwvnEmlXEnzw/3mhb/lm3+z93/wBCr9GvhZ8XPDPxf8PrqvhzUlvI+Flt
3G2aBv7sifw/yPavFv2qf2VfC/jnw/rfjHTANC8R2VtNeTTQxjy73YhYrIv97j/WDn+9ur8/PA/j
7xB8NfEMGt+G9Rm0vUIf+WkbfLIv91l+6y/7LVye0nh5csvhPqng8Nn1GWIw/u1F/X9M/afd8vSk
U57V88/sv/tVWnx3jm0i/sv7M8U2dv588UfMM6blVpY+6jcy/K394fM1fQ4PXNd8ZKUeaJ8LiMPU
wtR0ay94fRRRVHOFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUlAC0UlLQAUUmaM0
ANIzj1rwz48fsp+Gfjxren6vqd9faVqNrD9nM1ntHmw7mbawZT03Nhv9qvc+1HPY1MoqUeWRtQr1
MPP2lKVpH5A/tIeB9L+G3xn8ReGtEjki0uw+zxwpJJ5jfNbxszM3+0zM1fqh8If+SU+DP+wNaf8A
ola/NH9s7/k5nxr/ANdLb/0kgr9LfhF/ySnwb/2BrP8A9ErXFh/4kj7LPpSlgcLKXb9DsMcV8Rf8
FLtUmh03wJpwP+jTzXlxIv8AtRrCq/8Aoxq+3u1fJ/8AwUL8Bz+JPhXpuv2sbSTaFd75tv8ADby/
K7f99LHXTW/hyPAyapGnj6UpHbfsT6La6L+zn4ZaBF8y+a4urh1/ikaZl/RVVf8AgNeVf8FKf+RP
8Hf9f83/AKLFXv8Agnv8W7LWPA9x4Eu50j1XSJJJ7SNj/rrd23MV9dsjNu/3lr6P+JHw28P/ABW8
MzaH4isEvbOT517SROOjxt/Cw9azjH2lHliddSpLAZtKtW/m/M5j9mnxNpXiT4H+C/7LvoL0WOlW
tldLC4LRTRwqrIw/hYMK539tbQ7TVv2c/ErTqpksWt7u3dv4ZFmVf1VmX/gVeD+HP2XPit8CPjJp
tz4Bvf7S8NXN1EtzcNMsa/Z92WjuI2b5vl3fMu7/AGdrfLXZf8FBvi5ZaT4Ft/AlpOsuq6tJHcXU
an/U20bblLf70irt/wB1qXtP3UuY1p4WP9o05YWpzRk+b09TC/4Jo6pNNpvjzTiT9lgns7iNT/ek
WZW/9FrX27ivlD/gnn4Dn8N/CvUtfuo2jm1273w7v4reL5Ub/vppK+r61o/w4nn5zUjUx9WUe5yH
xf8A+SU+Mv8AsDXn/olq/K79nDwPpfxJ+M3h3w1rUckumah9pjlSOTy2+W3kZWVv7ysqtX6o/GD/
AJJT4y/7A15/6JavzQ/Yy/5OY8F/9dLn/wBJJ65sR/Eie/kUpQwOKlH+tD7r+A/7Knhn4D6zf6rp
l7f6pqN1F9nE94yfuYd6nYoUd9q5b/Z/hr3IDH1pPqaXtXbGKjHlifG169TET9pVleQ6lpM0VRiL
RRSUALRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAnWk4o/hrnvGXi7TvAfhrUdc1e4W206wha
eWQ9do7L6sTwB7igqMXOXLE4D9oL9orRPgDoNtPfW0mp6tfFlstMhkCNKV+8zMfur/tYNfLzf8FK
PEe75fB2mqv+1dP/AIV4B8Q/GviP9pD4uNdx28k1/qU62mm6arbvJj3fu4//AGZm/vbmr7a8L/8A
BP8A+HVn4fsIdcjvL/VlhX7XcQ3bxxySY+bav8K15vtKtaX7s+5+qZdldGP16PNUkeR/8PKPEn/Q
m6b/AOBUlH/DyjxJ/wBCbpv/AIFSV7t/wwN8JP8AoHap/wCDGSj/AIYG+En/AEDtU/8ABjJV8mI/
mMvreRf8+Zf18zwn/h5R4k/6E3Tf/AqSj/h5R4k/6E3Tf/AqSvdv+GBvhJ/0DtU/8GMlH/DA3wk/
6B2qf+DCSlyYj+YX1rIv+fMv6+Z+ePxa+Ilx8WPiFq3iu6tEsJ9RaNmt4WZlj2xrH/7LX61fB/H/
AAqnwd/2BrP/ANErX5YftHeA9K+Gvxo8SeGtEjkj0uxaFYVmfzGXdDHI3zf7zNX6n/B8D/hVXg71
/saz/wDRK0sLzc8uY34ilCWEw8qfw9PuOyqhq2k2eu6Xd6df28d1Y3cTQTwyruWSNl2srfgav0le
ifCbbH5hfHH9m7xf+zn4sHijwq97N4fgl8+01S0ZvOsv9mbb93+7u+62f+A12/gX/go1rul6fHa+
KvDFvrc8a7ft1ncfZWYerR7WXd/u7a+//LEqMsgVweqmvKvFH7LHwq8Y3DXOo+DLETvy0li0lqW/
79MtcX1eUZfu5H1Mc3w2Ipxp5hS5uX7Udz5W8cf8FGtd1TT5Lfwp4Yg0Od12i9vLj7Uy/wC0se1V
3f726uG+Bn7N/i/9o7xd/wAJR4re+h8PTS+dd6res3nXv+zDu+9/d3fdX/x2vuLwt+yv8KfCVws+
neC7Dz0O5XvTJdkH1/fM1erqgVQqAKB0FH1eUpfvJDlm+Gw9OVPL6fLzfal8RW0nSbPQtMtNO0+3
jtbG0iWCCGJdqxxqu1VX8BV+iiu0+U33OO+L/wDySnxl/wBga8/9EtX5J/CX4iXHwn+IWk+KrW0S
/n05pGW3mZlWTdG0f/s1frX8YP8AklPjI/8AUGvP/RLV+WH7OPgTSviV8Z/DfhrW45JdLvmmWZYZ
PLZtsMki/N/vKtebiubnjyn3nD0qccJiZVfh/wCAe+/8PKPEn/Qm6b/4FSUf8PKPEn/Qm6b/AOBU
le7f8MDfCT/oHap/4MJKP+GBvhJ/0DtU/wDBjJVcmI/mMfrWRf8APmX9fM8J/wCHlHiT/oTdN/8A
AqSj/h5R4k/6E3Tf/AqSvdv+GBvhJ/0DtU/8GMlH/DA3wk/6B2qf+DGSjkxH8wfW8i/58y/r5nhS
/wDBSjxHu+bwdprL/s3T/wCFfUP7Pv7RWifH7QbmextpdM1WyKre6ZM4Zotw+Vlb+Jf9rArznxR/
wT/+HV54fv4dDjvLDVmhb7JcTXbyRxyY+Xcv8S18S/Dvxr4i/Zx+Li3clvJDf6bO1pqWms23zo93
7yP/ANmVv721qn2lWjL94bfVMuzWjL6jHlqRP2A4pegrnfBfi/TfHXhnTdd0m4W706/hWeKRTztP
8Lc8MvIK+ua6HHFekfCyi4S5WOopKWgkKKKKACiiigAooooAKKKKACiikoAbuAHtivzp/bq/aC/4
TTxJ/wAIJolznRdIm3X8kbfLc3S/wf7sf/oW7+6tfWf7V3xG1D4XfBHW9W0jdHqcnl2dvOv/ACwa
Rgpk/wB5V3bf9rbX5ZeE77SrHxRp934gsptU0uG4WS5tYZPLa4X723d/tfxVwYmp/wAuz7fh3L1U
5sZL7Pwn3H+wb+z63h/Sh8Rtct9upahHt0qKReYrdvvTf70n8P8As/71fZnX2r4mtf8AgpFolnBH
DD4Du0jRcIi3saqB/d+5U3/Dy3Sc/wDIj3n/AIHL/wDG60p1KVOPLzHFjcuzPG15VqlP8j7T+b3p
fm96+Lf+HmGk/wDQjXn/AIHr/wDG6P8Ah5hpP/QjXn/gev8A8bq/rFP+Y4f7DzH/AJ9P8D7S+b3o
+b3r4t/4eYaT/wBCNef+B6//ABuj/h5fpP8A0I15/wCB6/8Axul9Yp9w/sPMf+fT/A+df2zv+Tmf
Gv8A10tv/SSCv0t+EC5+Ffg4/wDUGs//AEStflB8bPiND8WfihrXiyGyk06PUTGy28riR02wrH97
/gNfq/8ACH5fhT4M99Gs/wD0StY4d81SR7mfU5U8Fhac/iX+R2NLRSV3nw4UtFJuHrQAtJRuHrS0
AFFJS0Acb8YOPhT4x/7A15/6JavzR/Yx/wCTmPBX/XS5/wDSSev0t+MHPwp8ZD00e7/9EtX5QfBP
4jQ/Cf4oaL4sms5NQj04yM1vE4jd90LR/e/4FXBiPdnE+5yGnKrgsTTh8T/yP2O+b3pfm96+Lf8A
h5fpP/QjXn/gev8A8bo/4eYaT/0I15/4Hr/8brf6xT/mPD/sPMf+fT/A+0vm96Pm96+Lf+HmGk/9
CNef+B6//G6P+HmGk/8AQjXn/gev/wAbo+sU/wCYX9h5j/z6f4H2j096+NP28v2fW8QaSfiNodtv
1Kwj26rFGvMtuv3Zv96P+L/Z/wB2oP8Ah5bpP/Qj3n/gcv8A8bqC6/4KRaJeQSQzeA7t43XDo16j
KR/d+5UVKlKpHl5jtwWXZngq8a1On+Rwf7Cv7QX/AAhfiT/hBNbucaJq83+gSSH5ba6b+D/dk/8A
Qtv95q/RbcCPwr8T/Fl9pV94ov77w/aTaXpc1w0ltazSeY0Ct823d/s/w1+pv7KPxH1D4o/BHRNW
1fdJqcfmWdxO3/Ldo2KiT/eZdu7/AGt1Z4ap/wAuzu4iy9U+XGR+18XqezUUlLXefEBRRRQAUUUU
AFFFFABRRRQAUlLRQBzfjDwjpfjrw7f6Frdml7pV8nlzQsOo/oQ2Dmvzs/a6/Zo8O/AWx0C70K91
G5Gp3E0bQ30kbBFVVb5dqr61+mQ+Yk18Xf8ABS7/AJF7wP8A9fV1/wCgx1yYiMfZ3Po8gxFanjIU
oy92X+R5X+yn+yp4c+PXg3VdY1nVNUsJrS/NqEsnj2FRGjbvmVv79e3f8O3/AAJ1/wCEl8Q/992/
/wAapP8Agm+P+LVeI8/9Bxv/AEnirn/2qPGXxDn/AGjvDngrwd4qudCGpadB5cYnaODzmkn+Ztqs
3RFrOMaapxlKJ7GKxONq5jUw9KtyxidD/wAO3/Amcf8ACS+IM/79v/8AGqRv+Cb/AIFHP/CSeID/
AMDt/wD41Xivxof49/AO30q58QfEZ7pdQkeOFdOvppNrLtY7vMjX+9X0r+3J468Q+AfhDpuoeHtV
udGvZdYhge4tW2uYzDM23/vpVp2o+97vwnNKtmPPSjDEc3tDlf8Ah2/4F7+JfEH/AH3b/wDxql/4
dveBP+hl8Q/99W//AMarzLW/B37RGh/C9vHVz8S1fR1sE1LyU1CbzvLZVZV2+Tt3fN/er6Y/Y/8A
FWr+NfgLoeq67fT6nqMk10stzctukbbM6rz/ALoFOMacpcvKTicRj8PS9tHE8yvy6H5xfHr4d2Xw
n+LOv+FNOnuLuy09oVjmuypkO6GOT5tu3+9X6t/CH/klXg3/ALA1n/6JWvzR/bN/5OY8a/8AXS2/
9JIK/S/4P/8AJKfB3/YGs/8A0StRh/dnI6M9qSq4LCyl/Wh14xig0g4xXzp+2t8Z7j4T/DJLPSrh
rfXdedrW3kVvnijVczSL/tbWVfbzN38Nd0pcseZnyGGw88VWjRp7yOW/aK/bk074d31z4c8GQw65
rsJaO4vJmJtbVv7vy/fb/wAdX/a+7Xx94i/aY+KvjK7Lz+NNXhZ2+WHTJmtV/wB3bDtrc/Zb/Zzu
Pjz4pmkvnmtPDOmsrXtzGcSSs33YYz/e/vN/Cv8AvLX6WeCfht4Z+HGlLYeG9Es9JgVdrG3j+d/9
5/vMf941wRjUxHvc3KfaVq2X5J+5VP2lQ/Lfw7+0x8VfBt2Hg8aavMyN80OpzNdL/u7Zt1fYP7Ov
7cen/ES+tvDnjOCHQ9dmKx297CxFrdN/d+b7jf8Ajrf7P3a+h/Gvw18NfEbSWsfEeiWeqwEFVNxF
88fH8L/eU/7SmvzU/ak/Zzn+A3imGSxea78M6mzNZXL8yRMv3oZD/e/ut/Ev+61KUa2H97m5ohRq
5dnf7l0/Z1D9WRgnijivnP8AYr+NE/xX+GLWWq3BuNe0GRbW5kY/PLGy5hkbH8RVWX/tnu719F9Q
a9CMuaPMfF4rDzwtaVGpvE5D4vf8kp8Zf9ga8/8ARLV+UnwF+Hdl8WPizoHhTUZ7i0stQaZZJrQq
JBthkk+Xdu/u1+rnxg/5JT4x/wCwNef+iWr80P2Mv+TmPBX/AF0uf/SSeuLEe9UifX5FUlTwWKlH
+tD6l/4dveBP+hl8Q/8AfVv/APGqT/h2/wCBf+hl8Qf992//AMar0z9sDxZq/gv4C65q2hX8+l6j
HNarFc2xxIu6ZFb/AMdJr5n0Twd+0RrnwvXx1bfEtU0drB9S8l9Qm87y1VmZdvk7d3y/3qqUacZc
vKc+GxGPxFL20sTy+9y6npY/4Jv+Be/iTxAP+B2//wAapf8Ah2/4E3Y/4SbxBn/ft/8A41XVfsN+
OvEPj74Q6lqHiHVbnWb2LWJoEuLptziMQwtt/wC+mavmv4LN8e/j5b6rc+H/AIjParp8iRzLqV9N
HuZtzDb5cbf3aVqPu+78RUa2Y89WNTEcvsz2r/h2/wCBOv8AwkviD/vu3/8AjVeI/tWfsqeHPgL4
N0rWNH1TVL+a7vxalL149gUxu275VX+5Xp37K/jH4h2/7R3iPwT4y8VXOujTdOn3xmdpIPOWSAbl
3KrfxtW//wAFIP8AklPhvHT+3F/9J5aiUabpSlGJ04bF42lmFPD1a3NGR4L+yL+zR4d+PVjr93r1
7qdt/ZlxDGkNjJGodWVm+bcrelfon4P8I6X4F8O2Gg6LZpY6VYp5UMKjoP6ktk5r5N/4Jo/8i945
/wCvu2/9Bkr7R+6Qa2w8Y+zTPHz/ABFapjJ0pS92P+RJS0UV1nzgUUUUAFFFFABRRRQAUUUUAFFF
FADB9818W/8ABS7/AJF/wP8A9fN1/wCgx19pf8tD/ntXxb/wUu/5F/wP/wBfN1/6DHXNiP4Uj3Mk
/wCRjS9f0Nn/AIJvf8kq8R+v9uN/6TxViftSeAfiRJ+0V4e8beCPDMutf2ZpsIjm2bo/OWSf5WXe
v99a2v8Agm//AMkp8Sev9uN/6TxVu/tEftX698HviXp/hLRPCsXiCe8sY7qMeZJ5jM0ki7VVV/6Z
1muX2MeY9OrKtHNq3sY80vM8B+Mmi/tCfHm20q38RfD8xR2Du8JsYPL+Ztqtu3SN/dr6O/be+H/i
P4kfCTTdN8N6VNq2oRatFcPDbldwRYZl3c/7TLXk2tft7ePfCy27638LzpcUzbY2vvtEHmf3tu5K
+g/2mPjZc/AnwDaeILPS49WuLi/jsxDPI0ajdHI27I/65/rTjycsveDEyxkKuHj7KMbX5bf8OfMW
tax+0nrnw0bwPc/D2NNFOnx6fujtf33lqqqvzef975f7tfS37Ing/WvAnwL0PRtf0+TS9ShluGkt
pj8yq0zsv/jpFeE3H7cnxJttL/tSb4TzRab5fnfbJEuFh8v+9v27dv8AtV9LfAD4pT/GT4WaX4ru
rCPTJ7ySZGt4ZN6r5cjJ97/gNOly83xGeZfWY4blqUYxjzfZ7/efnb+2d/ycz41/66W3/pJBX6Xf
CH/klfg3/sDWf/olK/NH9s7/AJOZ8a/9dLb/ANJIK/S74Q/8kr8G/wDYFs//AESlRh/4kjszz/cc
L6fojrvSvzt/4KPapNN8VvDmns37i30ZbhV/2pJpFb/0Wtfol6V+bv8AwUYbd8ctI/2fD8H/AKUX
FXiv4Z53Dv8AyMI+jPqH9hnQoNH/AGcdAuIV2yajNdXc7f3m85o1P/fMa19BHtXif7Gq7f2bfBY/
6ZXH/pRJXtn8VbU/gieRj5c2Lqt/zMQ96+f/ANufQbfWP2ctfuJlVpdOuLW7gb+63nLHn/vmRq+g
Grw/9thtv7MvjL6Wn/pZDRU+Bjy58uMov+9H8z5d/wCCb+qTx/FbxHp6t+4uNHadl/2o5o1X/wBG
NX6Ir2r85f8AgnCv/F6dcb/qASf+lFvX6NL2rHC/wz1eIv8AkYT+RyXxe/5JV4y/7A15/wCiXr80
f2Mf+TmfBX/XS5/9JJ6/S74vf8kq8Y/9ga8/9EvX5o/sY/8AJzPgr/rpc/8ApJPWeI/iRPRyP/cM
X6foz7y/a78H6147+BeuaNoGnyapqU0tu0dtD95lWZWb/wAdBr5p0XWP2ktD+Gi+B7b4exvoo0+T
T90lr++8tlZW+bz/AL3zf3a+tvj/APFKf4N/CzVPFdrYR6nPZyQotvNJsVvMkVPvf8Cr5pt/25Pi
TdaX/akPwnml03y/O+2RpcND5f8Ae37du3/aqqvLz/EcmW/WZYblp0Yyjzfa7/eep/sRfD/xH8N/
hLqWm+JNKl0nUJdWluEgmK7ijQwru/76Vq+cfg3ov7QnwGttVt/DvgAyx3zo8xvoPM+Zdyrt2yL/
AHq+uP2Z/jZc/HbwDd+ILzS49JuLe/kszDBI0inbHG27n/rp+lfPmi/t7ePfFK3D6J8LzqkUTbZG
sftE/l/3d21KcuTlj7xrhZYydXER9lGXNbmv/wAOaf7LfgP4kRftFeIvG3jbwxLov9p6bMJJtm2P
zmkg+VV3t/datn/gpB/ySrw56/24v/pPLW7+zt+1dr3xh+JmoeEtc8KxeH7izsZLqQeZJ5isska7
WVl/6aVhf8FIP+SU+Gz3/txf/SeWl7vsZcoqUqv9rUfbR5X5GP8A8E0f+Rd8c/8AX3a/+gyV9on7
1fF3/BNH/kXfHP8A192v/oMlfaJ+9WuH/hxPMzz/AJGNX1/RElFFFdB4YUUUUAFFFFABRRRQAUUU
UAFFFFADB9818W/8FLv+Rf8AA/8A183X/oMdfaX8Z/z2r4s/4KXMD4f8D4Of9Juv/QY65sR/Cke7
kn/Iwpev6Gx/wTgH/FqvEZ/6jb/+k8VcN+1Z40s/h9+2L4K8R6jHPNZabpttcSx26q0jL51z93cy
r/49Xdf8E4Mf8Kn8SZOB/bjf+k8VfTeseC/DviW4S41bRNN1K4VdglvLWOZgv93LL0qYQ5qMTsxe
Ijhc0rSnHmjsfnf+1x+0x4a+PWleG7XQbLVLSTTZ5pJf7RhjjVlZV27dsjf3a+g/+Ci2f+FJ6Pxx
/bkH/omevoBfhV4KRgw8KaGh/wCwdD/8TWxrGh6Z4hsza6nZWupW+7d5N1EsiZ9drU/ZP3r/AGjn
eZUk6Hs6fu07/ifCniz9svwdrv7PcvgSDTdbXVG0SLTPtEkEPk+YsaqzZ87dt+X+7Xv/AOwzj/hm
zw4P+m13/wClMlerf8Kr8FdP+ER0H/wWw/8AxNbel6TZaHYx2enWdvp9pH9y3to1jjX6KtVTpuMu
aRjicZRqYd0KVPl97m3Pyx/bO/5OY8a/9dLb/wBJIK/S/wCEP/JK/Bv/AGBbP/0Slfmh+2d/ycx4
1/66W3/pJBX6XfCFh/wqvwbyP+QNZ/8AolKww/8AEke5nn+44X0/RHXN/F9K/Nr/AIKJNn472H+z
odv/AOj56/SQsPm5HSvzX/4KGsG+PVrjoujW/wD6NnrTFfwzg4bX+3/Jn2J+x8u39m3wQP8Ap3k/
9KJK9n7CvHP2R8J+zl4IGf8Al0b/ANHSV7FuGOoran/DieHjb/Wan+KX5it0rwn9t9tv7Mvi/wB2
sx/5OQV7qzDA5FeC/txSAfs0+KsHrJZj/wAmoqKnwM1y5f7bR/xL8z5i/wCCb6/8Xh8QN/1A2/8A
R8Nfosvavzu/4JvDb8VvErZx/wASf/2tHX6IKw45FY4X+GepxF/yMJ/I5P4vf8kq8Y/9ga8/9EvX
5o/sY/8AJzPgr/rpc/8ApJPX6W/F5h/wqvxjyP8AkDXn/ol6/NH9jH/k5jwV/wBdLn/0knrPEfxI
npZH/uGK9P0Z9u/tzY/4Zs8Rgf8APa0/9KY68A8J/tl+DtC/Z7i8CT6ZrbaouiS6Z9ojgh8nzGjZ
VbPnbtvzf3a+8dV0my1yxks9Rs7e/tZPvw3MayRt9VasL/hVfgrp/wAIjoP/AILYf/ia3nTcpc0T
w8NjKNPDqjVp83vc258/f8E6c/8ACk9Y44/tyf8A9EwV89/sj/tMeGvgLpXiS116y1S7k1KeGSL+
zoY5FVVVt27dIv8Aer9HNH0PTPD1mLXTLK10633bvJtYVjTPrtWsdvhV4Kdix8KaGzf9g6H/AOJo
9k/dtL4TZZjSbr+0p+7Ut+B8b/sp+NLL4g/ti+NfEenRzw2Wpabc3EUdwqrIq+dbfe2sy/8Aj1dz
/wAFHx/xarw4f+o2n/pPLX05o/gvw74ame40nRNN024Zdhls7WOFiv8Adyq9K+ZP+Cj+P+FT+G8H
I/txf/SeWpnD2dKR0YTERxWaUZQjyx2Mf/gmj/yLvjn/AK+7X/0GSvtE/er4t/4JosB4d8c5OP8A
S7X/ANBkr7S/iqsP/DicWef8jGr/AF0RJRRRXQeGFFFFABRRRQAUUUUAFFFFABRRRQB43+1NY+Lt
Q+C2sW/go3Q1l/LBWzYrcvDuHmLGV/i2+nbdX5o3nww+JV/t+1eE/FVzt+75+m3Dbf8Ax2v2QYBh
0qPaB6D8K5qlBVJXPoMtziWWwcI0+Y/HO1+GPxMsI2W18J+LLZWbcyx6bcL/AOy1P/wgPxU/6Fvx
h/4A3f8A8TX7EbfYUbfYVh9UX8x63+s83/y5ifjv/wAID8VP+hb8Yf8AgDd//E0f8ID8VP8AoW/G
H/gDd/8AxNfsTt/2R+VG3/ZH5Uvqr/mF/rNP/nzE/Hb/AIQH4qf9C34w/wDAG7/+Jo/4QH4qf9C3
4w/8Abv/AOJr9idv+yPyo2/7I/Kj6r/eD/Waf/PmJ+NVx8JfiFdTNNP4N8TTyt95pNLuGZv/AB2r
S/Dv4pRRosfhnxgqqu1VXT7v5f8Ax2v2LwvoKML6Cj6nH+Yr/Wip/wA+Yn47f8ID8VP+hb8Yf+AN
3/8AE1TuvhP8Rr+TzLjwf4onl27d0ml3DN/6DX7K4X0FGB6Cj6mv5g/1oqLajE/HS3+HPxQtY1jg
8L+Lool+6q6fdqq/+O07/hAfip/0LfjD/wAAbv8A+Jr9iNvsKNvsKf1RfzC/1mn/AM+Yn47/APCA
/FT/AKFvxh/4A3f/AMTUVx8N/ideQtHceF/Fk8TfeWTT7tl/9Br9jdvsKNvsKPqi/mD/AFmn/wA+
Yn43Wvwq+I1hIzWvg/xRbMy7WaPS7hf/AGWrP/CA/FT/AKFvxh/4A3f/AMTX7E4X0FGB6Cl9Tj/M
P/Wio96MT8dG+HfxSljdZPDPjBlZdrK2n3fzf+O1Vt/hL8QrWZZoPBviaCVfutHpdwrL/wCO1+yn
lj+6KPLHoKPqa/mH/rTUX/LmJ+O//CA/FT/oW/GH/gDd/wDxNH/CA/FT/oW/GH/gDd//ABNfsTt/
2R+VG3/ZH5UfVf7xH+s0/wDnzE/Hb/hAfip/0LfjD/wBu/8A4mj/AIQH4qf9C34w/wDAG7/+Jr9i
dv8Asj8qNv8Asj8qPqv94P8AWaf/AD5ifjt/wgPxU/6Fvxh/4A3f/wATUF18MfiZfxqt14T8WXKq
25Vk024b/wBlr9j9vsKNvsKf1RfzD/1nmv8AlzE/HCz+F/xKsN32Xwn4qtt33vI024Xd/wCO1+l3
7LVj4v0/4L6Lb+NjdHWE8wBbxi1ykW4+Wshb+Lb69ttew7R6Un5VvSoezldHlZlnEsygoSpqJJRS
UtdJ88FFFFABRRRQAUUUUAFFFFABRRRQAUlLRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUA
FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU
UUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRR
RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//2Q==