20200828
08355900
FALSE
20180216
11275600
20180216
11280300
iMAPPublic.SDE.TRAN_BaltimoreMetroSubwayLines_MTA
002
-8547192.856300
-8526419.732400
4763208.735200
4780241.256700
1
0.018
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/10.3'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</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.
MTA_Facilities_Line_Merge
MTA_Facilities_Line_Merge
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.
Personal GeoDatabase Feature Class
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959
iMAPPublic.SDE.TRAN_BaltimoreMetroSubwayLines_MTA
1
-76.780740
-76.594132
39.407705
39.289385
Maryland Transit Administration Baltimore Metro Line dataset.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Maryland Transit Administration METRO routes. The 15.5-mile, 14-station Metro Subway system operates every. 8-10 minutes during the morning and evening peak periods; 11 minutes during weekday evenings; 15 minutes on Saturdays, Sundays and holidays. See http://mta.maryland.gov/metro-subway for more information.</SPAN></SPAN><SPAN /><SPAN /><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV>
MD iMAP, MTA
TRAN
Transportation
Transit
Rail
MTA
Maryland Transit Authority
Washington Metropolitan Area Transit Authority
Metro
Subway
Light Rail
MARC
U.S. BTS
United States Bureau of Transportation Statistics
vector
dynamic
WMS
WFS
KML
Maryland
MD iMAP
MD
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.</SPAN></P></DIV></DIV></DIV>
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.
20100809
ISO 19115 Geographic Information - Metadata
DIS_ESRI1.0
dataset
Downloadable Data
0.000
0.000
002
withheld
Local Area Network
0.000
Personal GeoDatabase Feature Class
Feature Class
0.018
Vector
Simple
FALSE
34
TRUE
FALSE
34
iMAPPublic.SDE.TRAN_BaltimoreMetroSubwayLines_MTA
Feature Class
34
OBJECTID
GIS Object ID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID_1
Line ID
Integer
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
GIS Shape
Geometry
4
0
0
Feature geometry.
ESRI
Coordinates defining the features.
Rail_Name
Rail Name
String
50
0
0
Trans_Mode
Transit Mode
String
50
0
0
Tunnel
Tunnel
String
5
0
0
Direction
Direction
String
20
0
0
Miles
Length (Miles)
Double
8
38
8
Line_Statu
Line Status
String
15
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20180216
Dataset copied.
withheld
20100802
11372700
Dataset copied.
withheld
20100819
15034800
Dataset copied.
withheld
20100820
11470700
Dataset copied.
withheld
20100820
11574300
Dataset copied.
withheld
20100820
11583300
Dataset copied.
withheld
20100823
08521600
Dataset copied.
withheld
20100823
08535200
Dataset copied.
withheld
20100823
08551100
Dataset copied.
withheld
20100930
07415200
GCS_North_American_1983
NAD_1983_StatePlane_Maryland_FIPS_1900_Feet
coordinate pair
survey feet
0.000000
0.000000
North American Datum of 1983
Geodetic Reference System 80
6378137.000000
298.257222
NAD_1983_StatePlane_Maryland_FIPS_1900_Feet
EPSG
8.6.2
/9j/4AAQSkZJRgABAQEAkACQAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK
CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU
FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAEXAaIDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9U6KK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDyX4g
ftMeFPhr44h8L6xa6p9rkETG6gijMCLIcAsTIGwOp+X869ZByMjkV8h/GbwKfiN+0F4s0SNN15J4
UE1rxz50bo6AfUrt+jGvbf2bfHn/AAsD4Q6Jdyvvv7NP7Pu8nJ8yIAAn3Zdjf8CrwcHjatTF1aFX
a75fk7Nfij7jNsnw2HyzD4zDX5rR9or3+NXi12Wkkd74m8RWXhHw7qWtai5SxsLd7iYqAW2qCcAd
yegHckVxfwf+O+gfGz+1/wCw7PUrX+zPJ87+0Io03eZv27djtn/VtnOOorjv2ptSudetvC/w502T
be+Kb9EnK9Y7aNgzsfbOD9EasP8AZTs4dN+J3xosraNYbW01WK2hjXokcct2iKPoqgUVMbV/tCGH
h8Gz9eVy/BW+8KGT4b+wa2PrX9rpKOuijzxhdrzblb0PRPi7+0J4d+C+oafZ63ZapdS30TTRnT4o
3UBTg53yLz9M1wtr+3R8P7i4SN9P8QWyMcGWW1hKr7nbMT+QNJ8af+TnPhH/ANtf5mvoO+0+11S1
e2vLaG7t3+9DPGHRvqDwaSljMRWqqlVUVB2Scb9E97ruOVPKMBg8LPE4eVSVWLk2qnLb3pR0XK+3
cwvAvxH8OfErSzqHhzVIdRgUgSKuVkiPo6MAy/iOe2a6Wvkv4seGbb9m34s+F/G/hdRpmg6pcfY9
T06LiIAkFwq9ApXLAdFZMj0HoH7XnjbUfDPw5ttH0hnTUfEN2unh42wwjIy4B9W+VPo5q45hKnSq
vEx9+nvbZ32t6mVXIIYjFYWOXzbpYi/K5bxs/eUraPl3ut0W/Gn7Xfw78G30tmL261y5ibZIukwi
RVPf52ZUbH+yT1+tJ4L/AGvPh34yvo7I3t1odzK+yNdXhEaseMfOrMi5/wBojp9M9Z8Jfg3oHwn8
O2dnYWNu+qCNftepFAZZ5MfMdxGQuScL0AP1Jf8AFj4P6B8WPDl5Y6hZW66i0bfZdREYE0EmPlO4
DJXOMr0IH0o5cz5Pa80b/wAtn93Nff5WDn4c9r9W9nU5b29pzK/ryctrdbXvbzNzx540svh54R1H
xFqMVxNZWKK8sdqqtIQWC/KGIHVh1IrxD/hu7wD/ANAjxJ/4DW//AMfrZ/ZB8cah4m+Hd1o2ru8m
peHro2DNIct5WMoCfVcMv0UV1P7Sn/JC/GH/AF6D/wBDWoqV6+Iw31zDVFGPK3Zxvqr31uvTY1w+
CwOBzF5TmFB1JuaipKfKrOyTtyu+991vY89/4bu8A/8AQI8Sf+A1v/8AH69x8D+MLPx94T03xBp8
U8Nlfx+bFHcqqyAZI+YKSM8dia5b9nX/AJIj4N/68F/ma9GrrwKxMoRq1qikpJO3La1/O7PMzqWX
U6s8Ng8O4ShJpyc+a6V1tyq3fdmL408WWngXwrqev38c01np8JmlS3UNIVHZQSBn6kVzHwh+N3h/
40WWo3GhxXtsbGRY5ob9EST5gSrAK7DBww69VNRftFf8kR8Zf9eDfzFfP3wdJ+E/xK+HmoE+Xovj
nQLe1k7Kt0iIo/EkR/8Af5q5cVjauHxtOn/y7aV/m7J/fY9LLMnw2OyivXd/bpvk10fLFSat35ea
3ofY9eS/Fb9pnwp8IPEUOi6vbane30lutwRp0UbrGpJADFpFwTtJx6Y9a9WuJ47WCSaZ1jijUu7s
cBVAySfwr8+vin5/jTwD4j+Jt0hDa94misLDd1SzihmwB7ErGD7x0ZvjauEpL2HxO7+S3/Gy+YcK
5Phs1xL+u39mrR0dm5Sei+5Sb9D7G+L3xv0L4K2umT63aahdJqDyJENPjjcgoFJ3b3X+8Oma80/4
bu8A/wDQI8Sf+A1v/wDH6+jq+bv2xf8Aj8+Gn/YbH846Myli8PCVelUSiract+qW9/0Fw9TyrH1q
eBxOHk5y5ryVS2ycvh5fK2/mWrD9uLwJqF9b2sek+IlknkWJS1tBgFiAM/vunNfQ9FeaftFePv8A
hXfwl1q/ik2X90n2Gzx182QEZHuq7m/4DXZGVXCUp1cTUUklfRW2+bPJnDC5piaOGy6g6bk7az57
ttW+zG1upZ+Gvxy8NfFTXNe0rRftQuNIfbI1wiqk67mXzIiGJK5XuAfmXivQq+QrLwa/7Nfib4T+
IXUwWuoWv9j67jIAmlJky3rgv+UA4r69qMvxFWtCUMQrTjv81df5fI3z7AYXB1oVcA26M0+VvvFu
MvxV/SSCiiivVPlwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
iigAooooAKKKKAPn20/5PWvf+xbH/oSVU+GTf8Ko/aV8WeC3/daT4lj/ALY01egEnzMyqPT/AFo/
7ZLW5a+HdVX9ru71k6ZeDSG0AQjUDbv9nMm5fk8zG3dx0zmqH7WXgfXtQsfDni7wjbXdx4k0O72q
thC0sxicdQqgk7WA4x0dq+UlCdOnPExi+aFST9U9H+H5H6hTrUsRXo5fUmlCvh4Qu3pGa1g36SSX
o2N+Fx/4Wl+0J4w8bOPM0vw8n9haWx5BcZ8x1/8AH/wmFU/2YP8Akrvx0/7Dg/8ASi8r0r4A+AD8
N/hXoulTRGLUJI/td6G+958mGYH3UYX/AIDXDfs6eGtX0P4o/GW71HSr3T7W/wBZEtpPdW7xpcJ5
90d0bMAHGGU5GfvD1rSnRnCphZTXvScpS9XF/lt8jnxGLo1qGZU6MvchCnCHmoVIq69dZP1KPxp/
5Oc+Ef8A21/ma+i6+av2kofEek/F7wD4n0TwpqnieLSYpJJIdPt5HUndwpdEbaec8inzftHfE/VF
+zaV8FdWs71s7JtQ88wjg9cwxjrj+IZ6d6unjKWFxGIjVvdyTVot391dkZ4nKcTmmAwM8Ny2jTab
c4Rs+eT1Tkns+xX/AG37hNU0Pwd4YgZW1PUdVDxRDk4CmPOPdpR+RqX9tHOnxfD7WpAfslhrH71s
E4zscfpG1X/hb8D/ABXrfxAX4hfFG6jn1uDH9n6XC6tHa4zgnblRtycKpPJ3Ek1658Tvh5p/xS8F
ah4d1FjFHcqDFcKuWglU5RwO+D1GRkEjvWcsLWxlLEVXHldS3Knv7u1+139xvDM8JlOJwGGU1UjQ
5+eUdVeppLl7qKtr1Z08UqTxpJG6yRuAyupyGB6EHuKWSRIY2kkZURQWZmOAAOpJr5c8O+LPjN8C
rGPw/qngqXx5o9niGyvdMZ2k8sAhVyiu20YAG5ARjGcFad4g8XfGb452MmgaX4Kl8BaPeZhvb7U3
dZfLIAZQXVG2kE52oSemQM12f2rDkt7OXtP5eV7+trW87nkf6sVfa83t6fsP+fnPG1v8N+a9ult9
C5+xev8AaDfEXW4txsr/AFcCFj0ON7n8cSr+lel/tKf8kL8Yf9eg/wDQ1rovhj8PdP8Ahb4L0/w7
ppaWK2UmS4cYaaVjl3P1PQdgAO1Y37QWl3mtfBnxVZafaT397NahYre2jaSRzvU4VVBJP0op4eeH
yyVGXxcsr+ru/wBQrZhSzDiOGLp6QdSFr9ouKTfyVxn7Ov8AyRHwb/14L/M16NXBfAfTbvR/g94U
sr+1msryGyVJbe4jMckbZPDKRkH613tejg01hqaf8q/I+fzWSlmGIad05y/9KZ5z+0V/yRHxl/14
N/MV5H428GzeJv2QvCep2O5dV8P2FrqttIn3gEQeZg+ykt9UFey/HjTbvWPg94rsrC1mvbyayZIr
e3jMkkjZHCqBkn6VJ8H9Hltvg74X0vVLOSCVdKigubS6jKOvyYZGU8g9iDXm4nD/AFnFTpy2lTtf
zv8ApufRZfj3l+W0sRB+9Cve3dciv8nseX/Fj4yN4i/Zx0i80kB9Z8YrHpcMER5Er5WdR7Aq6f8A
AhXNftXeEbfwD+zb4O8P220x6fqdvCWX+N/s9wXf/gTFm/Gs74L/AAR8R6X8bP7N1q0vv+ER8JXN
1eaVNcQssE0kjKIyjEYY4CucE4KV6F+2h4a1fxT8LtLtNF0q91e6TWYpWgsLd53VBBOCxVQSBkgZ
9xXj1FXxWCr160Wpcqil6fE/m/yPrKEsHl2b4LA4SonT53Ubvp73wJ/4YW+cme+183fti/8AH58N
P+w2P5x19I14B+1Z4Z1jxFd/D06VpV9qYtdXEs5s7Z5vKTKfM+0HaODyfSvezaLlgpqKu9PzR8Rw
tONPN6Mpuy97f/BI9/r5J/aY8aXuufGjwzoGk+H77xZD4Y2ape6Xp6OzSyMVYBtiOQoXZzj/AJaE
d6+rtQvP7P0+5ujFLcCCJpfKgQvI+0E7VUcljjAA6mvEP2X/AAbrELeK/G/ifT7nTtf8RX7t9mvI
WjlhhViQNrAEAsxGMdEWozGE8S4YSDtzO7fZR1/F2NeH6tHL1WzSslL2a5Yxva8p6dNdI8zuttDz
L4xfFbxj8VvAN9oF78FvEWnByk8d6Vnf7O6HO/abYZGNwPI4Y177+z38QP8AhZHwn0TVJZfNv4Y/
sd4e/nR4Uk+7Da//AAOvR6+ffgp4X1n4V/Gfxt4YXSbweENSb+0tOvktn+yxvwfK3gbQdrFcE5/d
D1rCNGvhMXCrUqOan7r0St1jt818zuqYvB5rlVXDUKCoyov2kVzSd07Rmveb6crst7H0FRRRX0J8
CFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUV84/t3f8ki0j/sO
Q/8ApPcVwf7Af/IY8Z/9cLX/ANCkrwp5pyZhHAcm/W/k3tby7n21Hhv22Q1M79tblduXl/vJfFfz
7H2VRRXA/G74qR/B/wAB3Gvmz+3z+alvb2+7arSNnG444AAY/hjvXsVasKFOVWo7Jas+TwuGq4yv
DD0FecnZLzZ31FeJ/s3/ALQ03xsj1a11DTItN1LTxHITbMzRSoxIyM8qQR0JOc/WvbKzw2Ip4ukq
1F3izfMMvxGV4mWExUbTjv13V1qvIKK8I/bS/wCSH3X/AF/W/wD6Ea8h/YH/AORu8Vf9eMX/AKMr
zKuZ+yx8MDyX5le9/Xpby7n0eF4c+s5HVzn2tuR25eXf4et9N+x9q0UUV7h8WFFFFABRRRQAUUUU
AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
VyfxE+KHh74V6Xbah4ju5LS1uJvIjaOF5SX2lsYUHsDXWV5H+0h8HdT+NHhbTNL0u9tLGa1vftLP
ebtpXYy4G0HnLCuTFzrU6EpYdXmtkerldLCV8bTp46fLSb95rovuf5FD/hsT4Xf9Bq5/8AJv/iaP
+GxPhd/0Grn/AMAJv/ia8J/4YN8X/wDQwaJ+c3/xFH/DBvi//oYNE/Ob/wCIr5L69nv/AD4X3f8A
2x+p/wBjcE/9Bsvv/wDtD3b/AIbE+F3/AEGrn/wAm/8AiaP+GxPhd/0Grn/wAm/+Jrwn/hg3xf8A
9DBon5zf/EUf8MG+L/8AoYNE/Ob/AOIo+vZ7/wA+F93/ANsH9jcE/wDQbL7/AP7Q92/4bE+F3/Qa
uf8AwAm/+Jo/4bE+F3/Qauf/AAAm/wDia8J/4YN8X/8AQwaJ+c3/AMRR/wAMG+L/APoYNE/Ob/4i
j69nv/Phfd/9sH9jcE/9Bsvv/wDtD3b/AIbE+F3/AEGrn/wAm/8AiaP+GxPhd/0Grn/wAm/+Jrwn
/hg3xf8A9DBon5zf/EUf8MG+L/8AoYNE/Ob/AOIo+vZ7/wA+F93/ANsH9jcE/wDQbL7/AP7Q0P2q
/j14M+KXw907SvDuoTXd7Dqkd06SW0kQEYhmUnLADq68e9T/ALAf/IY8Z/8AXC1/9CkrI/4YN8X/
APQwaJ+c3/xFe0/s0/s/az8E77Xp9V1Gxvl1COFIxZl8rsLk53KP7wrnwtDMK+Z08XiqXLbfts/N
ndmeOyHB8OV8ry3E87dmk9370W+iXQ94rG8XeD9I8d+H7rRdcs1vtOuAN8TEqcg5BBBBBBHUGtmv
Kf2m/E3iTwn8I9S1HwuZYr1JI1muYF3PbwEnfIPTsM9gSeMZH2+KqQpUJzqK8Undb3PxrLaNXE4y
jRoT5Jykkne1nfR38vI6P4a/CPwx8JrG6tvDti1ubpg080shkkkxnaCx7DJwBgcn1rs6+Zf2LfH3
jHxnY+IY/EF5d6tpds0Rtr69Yu4kO7fGHPLDAU4z8vH96vpqufL61KvhoVKEOWL2W3U78+wmKwWZ
VaGMq+0qK15XbvdJrfXbS3Q8I/bS/wCSH3X/AF/W/wD6Ea8h/YH/AORu8Vf9eMX/AKMr179tL/kh
91/1/W//AKEa8h/YH/5G7xV/14xf+jK+YxX/ACPqPp+kj9Iyv/kh8X/if5wPtWiiivuD8XCiiigA
ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi
iigAooooAKKK5P4ifFDw98K9LttQ8R3clpa3E3kRtHC8pL7S2MKD2BrOpUhSi51HZLqzejQq4moq
NGLlJ7JK7fyOsorxT/hsT4Xf9Bq5/wDACb/4mj/hsT4Xf9Bq5/8AACb/AOJrh/tLBf8AP6P3o9r/
AFdzj/oEqf8AgEv8j2uivFP+GxPhd/0Grn/wAm/+Jo/4bE+F3/Qauf8AwAm/+Jo/tLBf8/o/eg/1
dzj/AKBKn/gEv8j2uivFP+GxPhd/0Grn/wAAJv8A4mj/AIbE+F3/AEGrn/wAm/8AiaP7SwX/AD+j
96D/AFdzj/oEqf8AgEv8j2uivFP+GxPhd/0Grn/wAm/+Jo/4bE+F3/Qauf8AwAm/+Jo/tLBf8/o/
eg/1dzj/AKBKn/gEv8j2uivFP+GxPhd/0Grn/wAAJv8A4muy+HHxo8KfFea+i8N30t49kqNOJLd4
toYkL94DP3TWlPHYWtJQp1YtvomjDEZLmeFputXw04xW7cWkvnY7mq9/fWum2c11e3ENraRKWlmu
HCRovcsx4A+tWK8v/aQ+HusfE74W3ujaFIo1Dzo7hYHfYtwEOTGWPA7EZ4yozjrW+IqTp0pTpx5m
lou5x4GjSxGKp0a8+SEmk5dk+p3nh3XNF1/T/P0HULDUrFWKebp0ySxBupGUJGeenvWpXzp+yP8A
BbxX8K49fu/Eqrp/9oeVHHpyzJKfkLHzGKEqPvYGCepzjivouscFWqV6EalaHJJ9DrzjCYfA46pQ
wtZVYK1pLrpfpo7PS6PCP20v+SH3X/X9b/8AoRryH9gf/kbvFX/XjF/6Mr179tL/AJIfdf8AX9b/
APoRryH9gf8A5G7xV/14xf8AoyvlMV/yPqPp+kj9Pyv/AJIfF/4n+cD7Vooor7g/FwooooAKKKKA
CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK
KKKACvHv2mPg/rPxm8J6Xpmi3Nja3Fre/aXa/kdFK+Wy4BRGOcsO1ew0Vz4ihDFUpUamzO/AY2tl
uJhi6Hxwd1fU+Ev+GEfH3/QX8N/+BNx/8Yo/4YR8ff8AQX8N/wDgTcf/ABivu2ivn/8AVvAdn959
3/xELPP5o/8AgJ8Jf8MI+Pv+gv4b/wDAm4/+MUf8MI+Pv+gv4b/8Cbj/AOMV920Uf6t4Ds/vD/iI
WefzR/8AAT4S/wCGEfH3/QX8N/8AgTcf/GKP+GEfH3/QX8N/+BNx/wDGK+7aKP8AVvAdn94f8RCz
z+aP/gJ8Jf8ADCPj7/oL+G//AAJuP/jFH/DCPj7/AKC/hv8A8Cbj/wCMV920Uf6t4Ds/vD/iIWef
zR/8BPzd+LP7Nfif4N+HLbWtavtJurWe7WzVLCaV3DsjuCQ0ajGIz37jivWP2A/+Qx4z/wCuFr/6
FJXeft3f8ki0j/sOQ/8ApPcVwf7Af/IY8Z/9cLX/ANCkrwaeEpYLO6dGjt/9qz7nEZric44MxGKx
TTne2ittOJ9lVzHxH+ImkfC3wrc6/rTS/ZIWVFjgUNJK7H5UUEgZPPUgYBrp64/4rfDPTvi14Nuf
D+pSy20cjrNFcQ4LwyL0YA8HgkEehPQ819/iPa+yl7H4raX7n4VgVhniqaxjapXXNbe3UyPg78dv
D/xqtb59IjurS6sSvn2l4ihwrZ2sCpIIOD3yCOR0z6PXlXwN/Z90r4Iw6k9tfzarqF+VWS6mjEYW
NckIqgnHJJJzzx6V6rWODeIdCP1pLn62OrN1gI42ossbdHS199td9d72vqeEftpf8kPuv+v63/8A
QjXkP7A//I3eKv8Arxi/9GV69+2l/wAkPuv+v63/APQjXkP7A/8AyN3ir/rxi/8ARlfKYr/kfUfT
9JH6hlf/ACQ+L/xP84H2rRRRX3B+LhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF
ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB84/t3
f8ki0j/sOQ/+k9xXB/sB/wDIY8Z/9cLX/wBCkrvP27v+SRaR/wBhyH/0nuK4P9gP/kMeM/8Arha/
+hSV8LW/5KCn6f8AtrP2vB/8kHX/AMX/ALfE+yq82/aB+J178Jfhvda5p1ml3fGaO2h84Exxs+fn
cAjIAB79SK9JqjrWh6f4k0u403VbOHULC4XbLb3CB0YdeQfQ4IPYjNfZ141KlKUaUuWTWj7M/IcD
Vo0cVTq4mHPBNNx7rqjw39lb49a78YF1yy1+2tzc6cI5UvLWMorq5YbWGSARt4I6jPHGT9AVg+EP
Anh/wDp72Xh7SbbSreRt7rbrgu3TLMeWP1Nb1Y4KlWo0I08RPmkt2dmcYnCYzG1K+Bpezpu1o9tN
fS71t0PCP20v+SH3X/X9b/8AoRryH9gf/kbvFX/XjF/6Mr179tL/AJIfdf8AX9b/APoRryH9gf8A
5G7xV/14xf8AoyvlMV/yPqPp+kj9Pyv/AJIfF/4n+cD7Vooor7g/FwooooAKKKKACiiigAooooAK
KKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvnP9ty1
1O68AaEulw3c0w1PLC0VmYL5T9dvbNfRlFceMw/1uhKhe3N1PWyrHvK8bSxijzcjvba+h+U/9jeL
v+fHWv8AvzN/hR/Y3i7/AJ8da/78zf4V+rFFfI/6rx/5/v7v+Cfq3/ES5/8AQHH/AMC/+1Pyn/sb
xd/z461/35m/wo/sbxd/z461/wB+Zv8ACv1Yoo/1Xj/z/f3f8EP+Ilz/AOgOP/gX/wBqflP/AGN4
u/58da/78zf4Uf2N4u/58da/78zf4V+rFFH+q8f+f7+7/gh/xEuf/QHH/wAC/wDtT8p/7G8Xf8+O
tf8Afmb/AAo/sbxd/wA+Otf9+Zv8K/Viij/VeP8Az/f3f8EP+Ilz/wCgOP8A4F/9qflHceHfFN0g
SbTNXmUHIWS3lYZ9eRX0/wDsJ6LqGk6t4wN9YXVmHgtgpuIWj3YaTOMjmvr2iu3BcPxweIjiPat8
vl5W7nj5xx3PNsBUwDwygp21Ur2s09rLsFeU/tOW/im5+EepJ4S+1G/8yMzrY589rfPzhNvOfu5x
zjdXq1FfTYil7elKle11a6PzjA4r6liqeJUVLkadns7dz5h/YlsfGVnpniD+3Y7+HQ2MRs49QDg+
b828xhv4cbc9s496+nqKKxwWF+p0I0FJyt1Z2ZxmTzbG1Ma4KHNbRbaJL7+54h+2Lp91qXwWuYbS
2mupje25EcMZdsBjzgV8IW/hnxNasTBpOrQk8Ex20q5/IV+r1FeLmORxzCv7d1OXS23/AAT6/h/j
OeQ4J4NUFNOTd3K29uln2Pyn/sbxd/z461/35m/wo/sbxd/z461/35m/wr9WKK8z/VeP/P8Af3f8
E+k/4iXP/oDj/wCBf/an5T/2N4u/58da/wC/M3+FH9jeLv8Anx1r/vzN/hX6sUUf6rx/5/v7v+CH
/ES5/wDQHH/wL/7U/Kf+xvF3/PjrX/fmb/Cj+xvF3/PjrX/fmb/Cv1Yoo/1Xj/z/AH93/BD/AIiX
P/oDj/4F/wDan5T/ANjeLv8Anx1r/vzN/hR/Y3i7/nx1r/vzN/hX6sUUf6rx/wCf7+7/AIIf8RLn
/wBAcf8AwL/7U+KP2J9P121+KmqvqdtqENudFlCtdxyKu7z4MAbuM4z+tfa9FFfUZfgvqFD2Klza
7n5rn2cPPMa8Y6fJdJWTvt8kFFFFekfOhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAF
FFFABRRRQAUUUUAFFFFABRRRQAUV8H+Gf+Fu/wDDRVv9o/t37X/ao+1+Z5v2X7N5g35z8nlbOnb7
uOcV9a/HL/hIv+FT+I/+EU8/+3vs6+R9lz523evmbMc7vL34xznGOa8bC5l9ZpVavs2uS+nV27ef
kfX5lw//AGfisNhvrEJe2tqto3dtfLrftfQ7uivkn9iz/hO/+Ei17+2/7W/4R37L/wAxLzNv2reu
3Zv77N+7H+zntXQftqf8Jp/Yvh7/AIRz+0f7H8yX7d/Zm/d5nyeV5mznb9/HbPXnbURzPmwLxvs3
p0672+41qcN8mdRyf6xHX7fTa9rX36Wv2PpaivIv2Wv+Er/4VJZ/8Jb9q+2faJPsv27Pn/Zvl2b9
3zfe34zzt29sV87ftEf8LS/4Xlc/2f8A24YfNi/sj+zvN8nZhcbdvy7t2d2e+c8Yp4jM/q+FhifZ
t81tOquLAcOfXszrZd9YjH2d/e6Oztp+vbU+5qKxv+J1/wAIb/yx/wCEi+we3l/avL/Lbv8A0r4y
/Z4PxTPxytv7R/tzyfNl/tf+0fN8nZhs7t3y53Y2474xxmtcVj/q1WlT9m3zv7jky3I/7Rw+KxHt
4w9ir2f2t9vu0fdo+5qK8i/ak/4Sr/hUl5/wiX2v7Z58f2r7Dnz/ALPzv27fm67M45xntmuF/Yq/
4TT+x/EP/CRjUv7I8yL7D/ae/d5nz+b5e/nb93PbPTnNVPHcuNjg+R6q9+hNLJfa5RUzb20Vyyty
fae3+d7dk2fS9FFFeofMhRRRQAUV5f8AtJDxP/wqLV/+ESN0NTzHv+w588w7h5mzHOcdcc4zXlv7
FP8Awm3leIv7f/tP+xMR/Zv7T3/67LbvL384xjOOM4ry6mO9njIYTkb5le/Tr/kfTUMl9vlNXNfb
RXI7cnV7f56d7M+oqK+U/wBtb/hOPt3h/wDsP+1P+Ef8p/N/s3zMfaN3/LTZ/s425/2sd69o/Z9/
4SX/AIVHoH/CW/af7a2Pv+258/y97eX5med2zb156Z5zRSx3tMXPCcjXKr36PYMTkv1fKqOae2i/
aO3Kt1v/AJa9ro9Eor4N+KQ+Lq/tAaj/AGeddN1/aJ/sv7P5n2b7Pu/dY/g2bcbs8Z3bu9fafjr+
2f8AhBtd/sHH9u/YJvse3/ntsO3bnvnGM8ZxmowuYfWXVXs2uR/fvt9xrmeQ/wBnRwr9vGftlfT7
O2/lrv5PQ36K+Kv2TR8SP+FtSHUhrX9j+VN/an9qebs3YOz7/wDy08zb05xu7Zr2L9r7/hLv+FZw
/wDCK/bPL+1r/aH9n7vO8nacfd527sZx7ds1lRzP22Dni/Ztct9Ort/X5nRi+G/qub0sq+sRfPb3
uivfR+emivrddz3Oivn/APY3/wCEx/4QPUv+EnF99i+1D+zv7R3+bt2/vMbudmcY7Z3V5n+2B/ws
T/hZFj/Zf9s/2F9nj+w/2X5mzzc/Pny/484684xiipmns8FHGezbv06/8N/wB4fhv6xnFTKfrEVy
397o7W0Wu+uqvpZ9j7MormPhj/bf/CvfD3/CSbv7d+xRfa/M+/5m0Z3f7XTPvmunr2acueCla1z5
GtT9jVlSunytq62duq8goooqzEKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo
oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig
AooooAK+c/23LrU7XwBoTaXNdwzHU8MbRmVivlP129s19GUVx4zD/WqEqPNbm6nrZVj1lmNpYxw5
+R3ttfT0f5H5T/2z4u/5/ta/7/Tf40f2z4u/5/ta/wC/03+NfqxRXyP+rEv+gh/d/wAE/Vv+IkQ/
6AY/+Bf/AGh+U/8AbPi7/n+1r/v9N/jR/bPi7/n+1r/v9N/jX6sUUf6sS/6CH93/AAQ/4iRD/oBj
/wCBf/aH5T/2z4u/5/ta/wC/03+NH9s+Lv8An+1r/v8ATf41+rFFH+rEv+gh/d/wQ/4iRD/oBj/4
F/8AaH5T/wBs+Lv+f7Wv+/03+NH9s+Lv+f7Wv+/03+NfqxRR/qxL/oIf3f8ABD/iJEP+gGP/AIF/
9oflHceIvFNqgebU9XhUnAaS4lUZ9OTX0/8AsJ61qGrat4wF9f3V4EgtiouJmk25aTOMniuv/bu/
5JFpH/Ych/8ASe4rg/2A/wDkMeM/+uFr/wChSV5+FwssBnFPD87l1/8AJX5s97MszhnfCWIxyoqm
7pWWu049bI+yq8o/acuPFVt8I9Rfwibpb/zY/Pax3eetvk7ym3nOducc7d1er1R1rW9P8OaXcajq
l5Bp9hbruluLhwiIOnJPvge5NfoWIpqrRnTcuW6evY/BcvrvC4ulWjBTcZJ8r1vrt8z5u/YlvfGV
3pviD+3Hv5tCUxfY5NQLk+b828RluduNue2cepr6frB8IePPD/j6xkvPD2rW2q28bbJGt2yUb0ZT
yM+45rernwFGOHw0KcZ86XXudueYyePzCriKlH2Tdrx2tZJa6LV7vRHiH7YuoXWm/Ba5mtLma1mF
7bgSQuUbBY8ZFfCFv4m8TXTEQatq0xHJEdzK2PyNfc/7aX/JD7r/AK/rf/0I15D+wP8A8jd4q/68
Yv8A0ZXxmbUJYrNoYdS5eZL9T9f4VxkMr4WrY901Nwm9Hpf4VvZ9z58/tnxd/wA/2tf9/pv8aP7Z
8Xf8/wBrX/f6b/Gv1Yorp/1Yl/0EP7v+Cef/AMRIh/0Ax/8AAv8A7Q/Kf+2fF3/P9rX/AH+m/wAa
P7Z8Xf8AP9rX/f6b/Gv1Yoo/1Yl/0EP7v+CH/ESIf9AMf/Av/tD8p/7Z8Xf8/wBrX/f6b/Gj+2fF
3/P9rX/f6b/Gv1Yoo/1Yl/0EP7v+CH/ESIf9AMf/AAL/AO0Pyn/tnxd/z/a1/wB/pv8AGj+2fF3/
AD/a1/3+m/xr9WKKP9WJf9BD+7/gh/xEiH/QDH/wL/7Q+KP2J9Q126+KmqpqdzqE1uNFlKrdvIy7
vPgwRu4zjP619r0UV9Rl+DeBoexcubXf+rn5rn2bLOsa8WqXs7pKyd9vkvyCiiivSPnQooooAKKK
KACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo
AKKKKAPnH9u7/kkWkf8AYch/9J7iuD/YD/5DHjP/AK4Wv/oUld5+3d/ySLSP+w5D/wCk9xXB/sB/
8hjxn/1wtf8A0KSvha3/ACUFP0/9tZ+14P8A5IOv/i/9vifZVebftA/DG9+LXw3utD067S0vhNHc
w+cSI5GTPyOQDgEE9uoFek1x/wAVviZp3wl8G3PiDUopbmON1hit4cB5pG6KCeBwCSfQHqeK+wxU
aUqE1XdoWd/Q/J8sniaeNozwSvVUlyrzvoeX/srfAXXfg+uuXuv3NuLnURHElnayF1RULHcxwASd
3AHQZ55wPoCvKvgb+0BpXxug1Jbawm0rULAqZLWaQSBkbO1lYAZ5BBGOOPWvVa58ujh4YaEcK7w6
ffr+J3cQVcfWzKrPM48tbS67aK1rX6W6s8I/bS/5Ifdf9f1v/wChGvIf2B/+Ru8Vf9eMX/oyvXv2
0v8Akh91/wBf1v8A+hGvIf2B/wDkbvFX/XjF/wCjK+ZxX/I+o+n6SP0fK/8Akh8X/if5wPtWiiiv
uD8XCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoo
ooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD5x/bu/5JFpH/Ych/8ASe4rg/2A/wDk
MeM/+uFr/wChSV3n7d3/ACSLSP8AsOQ/+k9xXB/sB/8AIY8Z/wDXC1/9Ckr4Wt/yUFP0/wDbWfte
D/5IOv8A4v8A2+J9lVy/xI+Hek/FLwnc6BrKyfZZirrLAwWSJ1PyupIIyOeoIwTXUV5f+0h8Q9Y+
GPwtvdZ0KNTqHnR26zum9bcOcGQqeD2AzxlhnPSvsMVKnToTlWV4pO/ofk+WUsRWxtGnhJctRyXK
72s76O5Z+DvwJ8P/AAVtb5NIkuru6vivn3d46lyq52qAoAAGT2ySeT0x6PXzp+yN8avFXxUj8QWn
iV11A2HlSRagsCRffLAxsEAU/dyMDPXOeK+i658uqUKuFhPDR5YdF8zuz/D47C5lVpZjPnqq13e9
9Fbt0t0R4R+2l/yQ+6/6/rf/ANCNfHPwi+NGt/BfUtQvdEtdPupb2JYZF1CN3UKDkY2OvNfo3478
BaN8SPD76Lr1u91p7SLKY0laM7l6HKkGvNv+GO/hd/0Bbn/wPm/+KrwMzyvGYnGLFYaSjZW3d+vk
+59zw3xNlOX5TPLcypympSbaSTTWlt5Lqj59/wCG7vH3/QI8N/8AgNcf/H6P+G7vH3/QI8N/+A1x
/wDH6+gv+GO/hd/0Bbn/AMD5v/iqP+GO/hd/0Bbn/wAD5v8A4qub6hnn/P8AX3v/AORPS/tzgr/o
Cl/4Cv8A5M+ff+G7vH3/AECPDf8A4DXH/wAfo/4bu8ff9Ajw3/4DXH/x+voL/hjv4Xf9AW5/8D5v
/iqP+GO/hd/0Bbn/AMD5v/iqPqGef8/197/+RD+3OCv+gKX/AICv/kz59/4bu8ff9Ajw3/4DXH/x
+j/hu7x9/wBAjw3/AOA1x/8AH6+gv+GO/hd/0Bbn/wAD5v8A4qj/AIY7+F3/AEBbn/wPm/8AiqPq
Gef8/wBfe/8A5EP7c4K/6Apf+Ar/AOTPn3/hu7x9/wBAjw3/AOA1x/8AH6P+G7vH3/QI8N/+A1x/
8fr6C/4Y7+F3/QFuf/A+b/4qj/hjv4Xf9AW5/wDA+b/4qj6hnn/P9fe//kQ/tzgr/oCl/wCAr/5M
5b9mv9pTxP8AGTx1faLrVjpNrawabJeK9hDKjl1liQAlpGGMSHt2HNfSleefDz4C+DPhbrU2q+Hd
PmtL2a3a1d5LmSUGMsrEYYkdUXn2r0OvqMvpYmjQ5cVLmnff+rH5rn2Jy/FY11MspuFKy0atr16v
8wooor0j50KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKACiiigAooooAKKKKACiiigD5x/bu/5JFpH/Ych/wDSe4rg/wBgP/kMeM/+uFr/AOhSV3n7d3/J
ItI/7DkP/pPcVwf7Af8AyGPGf/XC1/8AQpK+Frf8lBT9P/bWfteD/wCSDr/4v/b4n2VVe/sbXUrO
a1vbeG6tJVKyw3CB43XuGU8EfWrFeU/tOeGfEni34Sajp/hgSy3rSxtNbQNte4gBO+Mc89jjuFI5
zivssRUdKjKajzWT07+R+R4ChHFYqlQlUUFJpcz2Wu/y+XqeheHdD0XQNP8AI0HT7DTbFmL+Vp0K
RRFuhOEAGeOvtWpXzL+xb4C8Y+DbHxDL4gs7vSdLujF9msb1SjmQbt8gQ8rwVBJA3cf3a+mqwwNZ
4jDxqOHJfp2OzOsHHAY+ph4VlVS+0ut1fu9Vs9WRzXEVtHvmkSJOm52AH5mq/wDbOn/8/wBbf9/l
/wAa8U/bS/5Ifdf9f1v/AOhGvhDQPCmt+K5pYtE0fUNYlhUNJHp9q87IpOASEBwK8TMs6lgcQsPG
lzXV9/8AgM+y4e4Op53gHjqmJ9mlJr4brS2t+Zdz9Wv7Z0//AJ/rb/v8v+NH9s6f/wA/1t/3+X/G
vy//AOFO+Pv+hH8Sf+Cm4/8AiKP+FO+Pv+hH8Sf+Cm4/+Irz/wDWPEf9Az+9/wDyJ7//ABD/AAP/
AEMY/cv/AJM/UD+2dP8A+f62/wC/y/40f2zp/wDz/W3/AH+X/Gvy/wD+FO+Pv+hH8Sf+Cm4/+Io/
4U74+/6EfxJ/4Kbj/wCIo/1jxH/QM/vf/wAiH/EP8D/0MY/cv/kz9QP7Z0//AJ/rb/v8v+NH9s6f
/wA/1t/3+X/Gvy//AOFO+Pv+hH8Sf+Cm4/8AiKP+FO+Pv+hH8Sf+Cm4/+Io/1jxH/QM/vf8A8iH/
ABD/AAP/AEMY/cv/AJM/UD+2dP8A+f62/wC/y/40f2zp/wDz/W3/AH+X/Gvy/wD+FO+Pv+hH8Sf+
Cm4/+Io/4U74+/6EfxJ/4Kbj/wCIo/1jxH/QM/vf/wAiH/EP8D/0MY/cv/kz9RLfULW6cpBcwzOB
krG4Y49eKsV8YfsX+AfE/hb4o6pd614c1bSLV9GliWe/sZYEZzPAQoZlAJwCcexr7Pr6jL8XLG0P
azhyu+39WPzXPsrp5PjXhaVX2iST5l5+jf5hRRRXpHzoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA
UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHzj+3d/wAki0j/ALDk
P/pPcVwf7Af/ACGPGf8A1wtf/QpK7z9u7/kkWkf9hyH/ANJ7iuD/AGA/+Qx4z/64Wv8A6FJXwtb/
AJKCn6f+2s/a8H/yQdf/ABf+3xPsqsbxd4w0jwJ4futa1y8Wx063A3ysCxyTgAAAkkk9AK2a4L42
/CyP4weA7jQDefYJ/NS4t7gruVZFzjcMjIILD8c9q+zryqRpSlRV5W0XmfkOBhh6mKpwxcnGm2uZ
rdLq/wCk/Rlr4a/F3wx8WbG6ufDt81wbVgs8MsZjkjznaSp7HBwRkcH0rs68T/Zw/Z5l+CcerXV/
qkepanqAjjIt1ZYokUk4BPLEk9SBjH1r2yscFPEVKEZYmPLPqjszilgaGNqU8tm50lazfpr0XW/Q
8I/bS/5Ifdf9f1v/AOhGvIf2B/8AkbvFX/XjF/6Mr179tL/kh91/1/W//oRryH9gf/kbvFX/AF4x
f+jK+UxX/I+o+n6SP0/K/wDkh8X/AIn+cD7Vooor7g/FwooooAKKKKACiiigAooooAKKKKACiiig
AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooo
oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig
AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAC
iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK
KKAP/9k=