20160210
10025100
1.0
FALSE
Verden_Land_Res
002
0.000
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
<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/2.9.0'><WKT>PROJCS["World_Winkel_Tripel_NGS",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Winkel_Tripel"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",50.467],UNIT["Meter",1.0],AUTHORITY["Esri",54042]]</WKT><XOrigin>-16396100</XOrigin><YOrigin>-10018900</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>54042</WKID><LatestWKID>54042</LatestWKID></ProjectedCoordinateSystem>
World_Winkel_Tripel_NGS
20221012
11204600
20221012
11204600
Esri ArcGIS 12.9.2.32739
Verden_Land_Res
LM5
Oversikt over residualkart av forventet levealder og urban populasjon i 2017
File Geodatabase Feature Class
0.000
dataset
Esri
8.1.1
0
Simple
FALSE
0
TRUE
FALSE
Verden_Land_Res
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.
CNTRY_NAME
CNTRY_NAME
String
80
0
0
ISO3
ISO3
String
80
0
0
CODE
CODE
String
5
0
0
OID_1
OID
Integer
4
0
0
LifeExp17
LifeExp17
Double
8
0
0
UrbPop17
UrbPop17
Double
8
0
0
res
res
Double
8
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.
20221012
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii
gAooooAKKKKACiiigD5E8USlfFGqj/p7l/8AQjWT55bp1rT8Vj/iq9VyP+XqT/0I1ijivbj8KPHk
tWTO+TSpMy981BnJqeGIynAFUncl6FhHaXjHNaFpYT3L7YondvRRVjRtKlv76CygXMsrbR9a9i8E
2ujWskUFtZ3BvjiO4SRQyrxksTjjBGOuefSuTF4tUFors3oUHV1ex43daXNaOFuraSI9fnXGa0tG
8JXmt/vIIljgzgyvwPw9a9a1zy9f1l7SS2tJNPs35dRlnkwOM+g749qsQwx28SxQqEjQYVFGAK51
mEpU0+WzN1g1zavQ8u1vwBeWWlvPbT/aJEJ3JGmMKBnIOa84kjMTkMOR2r6XmR2U7SD/ALJHB+te
K+NdLsbLUmSzlaR05mBHCsT0H0rbC4iVR8styK9FU1eOxyHLHCg0gFasUWbceUBlupqX+xXQq0iS
/N0yuM12WOW5kCNm6AmpPs8gPKEV0Fnp7TOywIuVG4kkDir2oaSLSzinM8Ll1B2hucnrge2evtRo
tBatXOQMbDqDUZFb5hQqGwDk4pdU0CazsrW7K4iuVLRYPUA4PHam7IE2znSKWJd0ij1NOdefpT7Z
R5wzU2KvoTynPyDAAqKNf3i/WpZYznOOKZEP3i/WqIPsiw/5B1r/ANcU/kKsVXsP+Qdbf9ck/kKs
V4b3PaWwUUUUhhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB8l+JYkk8WamrH/l6lP/jxrAuI
hGcjjJ4Fdb4hiX/hJNUOOTcyc/8AAjXL3sMiy8r8o6EV7i+FHjN+8yqoJIrptL0dmhW4mJjti20y
npn0GOawbSNjMp28A16xZeGr630a0utOkXUJp7bzJbF0B2I2RkHPt9eK58TW9lFa2bNqNNTlr0MH
R5orWa2ntknjvIMvuiPyvjnn0ONwrup/EMq+HNV1SYSWs9yoMIhA6EgHJ98DOevauVht7lbm4F49
rbojoZEKkbMqSCAOcc1PrWj3kuimWLT7SHOJWaBXLsCofHcAYYH8DXmVFCpUXMdsbwg+U6rwvZ2t
tpCS20k0n2j947ynkn6dK2q8Q0TXb3TtUt/38vlwuB5RY42k/MMV7cCCMjpVYik6ctXe4UKinHRW
sNlcRxO5x8oJ5OK8H1aXzJbqUnl5GPXPU17fqt0lnpdzPIpZUjYkD6V8+6jI807YGEzkAV04D7TM
MZ9lGr4SvYrXV4xLDHKj/KBKRtBPfn0re8Ta3JqdwsUVxmzjZjFCP+WfOOuOeBx7VxFnkTDnHNaw
zn2rv5FzczONzfLyjsleQSD7UoSSXhVZiATxzgUKpd1VRkk4Arau5J/Mi0OyXYARHJtADSyE85Pp
ngDpxSqVOVpLf8l3CnDmTb2MQA4rd0+a61LT20g2huERWkiKnDKQDk57j2qx4f8ACtzqeoLDKESN
XAYOxG8A/MFOOuOa9gs9G07Sow1lZRxlEIGxfmYeme9eXj80p0nywV2d+FwM5+9J2R833mmskpGw
o/cMMU23sAhDPyfSvUfFPhPXtZ1N9RFtEobavlo2Sox198e1clYW9xa6ybRbeOeViYtrR7hyOo96
66OOp1afMmuZLVHPVws4Tt07mKYwRggYqs1oolDA45rWvoZoJ9lxb+Q/JxjG7nrVUAEj612RkpK5
zSTjKzPq2x/5B9t/1yX+QqxUFl/x4W3/AFyX+QqevDe57S2CiiikMKKKKACiiigAooooAKKKKACi
iigAooooAKKKKAPnTXdDlbxCJg4uYby4IAgI3hs8pg9x/hXqtv4P8O3ekW8TaQgj2gjzE2yA+565
rxbU7yIeKtQLbnjjvXLoDg8Oeh7V6PefE3StH0G0bTrU7QNphkONgA6DnnJ7+1dlSNRKKk7nFBwb
k4qxbt/hVoU1+9wrSxwLIVaAHIOPfqK0YPAkeg3SXugyyGYYDxXEpCsuc9RyMenQ1X8F/EbTPEVy
1okUkE8rlgHIIzgcfzrva8TE1q8ajjNu3byOynCFk0jzy58Ja1qGvR6tdpZK8kYjl8rOQp+Vsgjk
hSR19K5u41i48LS2+mWmoC6VZmDxBcoycbQeOepyM8fhXq2vyXcWgXz2EfmXQhby1968J8PrNq/i
a003WJrgI8rBtzFXUnrz2JNb4VOrGUp7R6E1JKLSW7JPiDoNvpmu/aLYxRo4XfbD70RIzj3HXkV3
uivs0C1kmeMDyg5ZeFAxn9K4b4i6JrlghubySSe0gl+zwTSY3MuAQTj2rnYvG0w8HSaK8Z8zhUlU
/wAGckEfnXfCEq1CFnexg5xp1ZXVjrPEvi3+0mk0nSIvOYnaZgc7uMEKB9cV51rFjeaZI1vdwPBM
MEo64IyMjiobS8nspUmgkZJw25WU4INaQF5rV25uXe6uGG9nc7mruhT9jt8P4nLObqb7lXRdIk1K
+t4ItzNKwAVepPpXrL+D9LtpzpVxsdolzK1sf3gJXPOc9MegrN+GzaNazbp1BvvOBRmBwiKpYn05
I/StjwhdTaneiSZWLtK8slweDIe36cfSvOxteXNLoor8Trw1JWXVv8jm7PwO2p6k40258/T8/LdF
SoHHI9yOOldfp3gJdOnj1CW9ee9hkEivszkDqCM8/Wuygt4baIRwRJGg/hQYFSV4dbMq9TS+h6VP
B0obIxtD094bNDcwJGyyGSMAYYA5A3e+DitmiiuGcnJ3Z0pWVgqEWlusrSiCMSM24ttGScYz+VTV
V1LUbbSrCW8u5AkMYyT3PsPelFNu0eo3ZK7I9Q0ix1ONhdW0UjlCgdkBZQfQ1zS/DbQ4yzO0xXZj
l8Yb1B/pUDfENdSkjs9Ds5Jb6VwFEwwuO54Nctr/AMU7gWs2mQ2qNcK5jlmlGQeTnC9vxr1MPh8b
F8kG4/P8Tiq1sM1zSsz3nTudMtMDA8lOn0FWar2Bzp9sfWJf5CrFemYhRRRQAUUUUAFFFFABRRRQ
AUUUUAFFFFABRRRQAUUUUAfHviTUDB4s1byY1VxdyjcTn+I9BWJLdS3Em+WR3PqxzV7xWNvi7Vz1
/wBMl/8AQjWSGzXrR2R58l2NjR9Um0u/iuYGKuhBBB5BBzX1L4f8RXGtaHa34sHAlXOfMUZ96+Rk
cgivof4XeMtOu/DNvplzOkF5a/u9rcBl7EGuPG4eFW0pI0oTlG8UeiG+uAMmwkI9FkXP86z30ywv
tctdXZPs9zaBvMSRFBYMMAk9PxzWlHLHKgeN1ZT3BrmfGut2GhaLNqLyxm7VSlupJYFx/s9MjPU9
K894OP2HZnR7V9TM8a+LLORJNJubKN7WUlftErnapBxuwvOPT1rwDVLdbW6fy5EdM8Feje49qi1T
W73VbmW4uZ2Z5GLNzjJNUQ7y43NnHc16uEw6w6snuclaftNbExkbG7JyK6TwtrkNndIksUTO8ikt
ISMgHpkdM9K5t5IxDtAO71z1rtfhjA51a5kOmpexLH8wkxtBwcA5B7/yrTEytSlpcmhG810O603S
9H0+K+a7tVd5GR0GWKIpY5HUfTmrepatNpkP2jT9Kt7SxkZAjbt21wckLg8ZxzxWJrHhbxDpEjXk
0yXTzjcba3VnCoOo5HTkdPSs/TdSEkVqniHRb+6tn/eLGuRk5xuLdSMA8Z7V5ai9HU959Tvm4tv2
a5V0PULPXln0a2v7kJaJM+wu53AdeQByckVuWljHcTPJcTRXKgBRGmdqnnJIz1/wrz4aHZ6hCNO0
snT0YeZCJJ3dfM4IHIBGOcYz3rpJdKube38qG4EdwiBnumkZjls/dzzknPsc+tedPCcq54q1zf23
N7rZp6mI9FjEkLl1fhYHdmZj32k5wMevH51FBPdXUazRNb+WR05J+h9MVy1tcNJdT29xKXurU+VJ
k5+uPx6mrSgoxZHkjJ67HK5/I10vKlOmpRl734GP11058s1oaWpajcpIlsuyNm5Z4n3Fcdjxxmsf
xFfafd+HZl1SLdNAAEJPDOeBjH549qo69d3GnaY91bH5lbLlhuJ+pNee6rqMcuqPf3Oqv5SKZreE
ZJL7egHbB7+1bRy+EIxj9pO91+Rn9blKTfR9DHg8QS6FdS3Fm5Wfa6Rk9RkYzXOC6dpQ0hLnOck+
9RSTSXU7ySuWdzuZj1JpseC4Ge9ezZX5upxpWXL0PtvTznTbU/8ATFP5CrNVtO/5Blp/1xT/ANBF
Wa8lnooKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD4z8Ukf8JZrGcH/AEyX/wBCNZLK
m1SjZJ6jHStTxSceLtY/6/Jf/QzWXhT0r1o6pHny0YLWlpWpXGlXsd1bOVdCDwcVngYp61bimrMj
ma1R7Lqni218YeCIltb+3steLoLqNm8ozAHHXo3Y1xF/EdOE+nX7TvFIQ6zOuATjqM89Sa5UANgd
Peu18E2x1jXbWz1BEurG0O+QM24hc9FAPPOOOa4lQVCOj938V8zVVfaOzWpw1zZtGz+XKssa/wAS
/wD16iXiPg819Gz/AA+0zVbF0tdOhaINtFzG4VpQOOx9e/HSvIvFXgXUdEvpjBZXD2gcqHEZIHqM
45x61VDFU6l03Z7bk1FKM+Szel7209PU5GCNpWPOcDJ+lfRfgfTrSx0fT2tdkUskSyySsgzkrkk+
w5/CvnUoqfX0rs/DnxBuNDsTa3FqbqPGFxJs7jrjrjFGLp1JxXszSjOKb5j6Fe8nmgN9amD/AEYN
ght6zEj7q47Hjn9Kr3d8ZZrhGtVXzIVhkXf0+8eCB/te1ec+EfG8ev2s2nzWMMLoWlEwkG85YbRl
vTPbP889/f201rYxXbqwebA8vJZyxGcngAEDtjHFeNLnhX/ebnbFRlD3TCbXtEfQzYauxS8tCYkl
ji+YYOVdD24xn6GuC1H4kXtrrCC2uxdxRoYzPJGN4z12ntW58S/EumWsIt/ssLam0HlJxu2KejH0
xzjvXi+SxJbO7rn1r1sPS51eWxy1qijZR36nftqrWQN19pdfMOdwPzNnmui8NalcXiXt9DukgRA7
h33FRn0zye1eW3mp+dbLa7QQhBV88gY5GP8APSug8LSSXNvdNaTMl3Am/YOrKOMj14JzWMcJ7Gnz
czvc7cVmX1qduRWsltrpb/LTyNnxB4ym1GOfTbS12ERs0m5/7oz/AJFeaPcyXExeTBbocdK9Am0C
4sLOPV/OgmnuWL7PNBIUDktjOOo44rlJdAv5JJZ7e0aWIkvmL5to+nXArrp1Yt7/APDnmODS2MQr
tcg0qJ+8BzgZq4bGQMd8LJ9RULIPl4HXrXRYjm6H2rp3/IMtP+uKf+girNVtO/5Blp/1xT/0EVZr
x2ekFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB8beLkEXivVW7tdynH/AjWOAC3oK1f
F7GTxhq5xwLuUf8AjxrIDetevG1kec0TFRxyD7inKtRqw7VKpBqjJ3E71v8Ag3xI3hjxDFeyBmtW
BjuEXqUPHHuKwTikIycDr2qZRUk0xwdndH1Xo/iK3lsLW7S8SWyuZFjgDqqPzwDgYz15+lbWuagm
laFfX8mwiCB3Cv0YgcA/U8Vwem6TAnw7torqJVeOBSXYcxkcZz7dT+NeWfEHxlJrmoraWtzP9gt4
lhVWkzvI6sexJr52lh44qraGlnr/AF5nq1ZOlG76nE6hcvfalPdyBVeaQuVQYAJPYUx/uCgopbIO
frTnX5a+jjGysjy3K71Oj+HKCTxnYrIf3e4llxnfx0r3u7uruS2kghMnlxuzR+cGBGBj7zH5sE9B
k181aTqD6XqttdxdYJA4+oOa9T17x9arpaPbXxlvGO9EX/lixwcj0xXmYvCyqVlJPp+Nzso1owha
3UwPFWn2uv6trOr2tyv2aygQzOf4pcBdqjuM964Y/NGp6t61Y/tK5axu7ZbhvJuJA0qf3iDkGs8Z
3da76MJ09G7roc1SUZ6rcTrJz3pYrma2nWWCR45B0ZTg1KFGQT0qN0RRkZ3Vo1fRkqWp1Ph+LXPE
F5FBDbidXOwsIwAPqR0/GvTIfhtrGjx21zYXSG6MuJVhwqqhPXnrxWP8KPGmkaBoF9Bq1zFb7ZQ0
eBlnyOeB9K9A8P8AxL0DxFf/AGK2eWKZm2xiVQN/61xVL3aS0OiPRniHildU0/X54dSRZLiNyrMQ
cSjP3se/qK50Qb5YWzsLtjBOAvPv2r1n443Vit7pMCKBfDc8jAc+X0AP45ryt7eSdyyKWCndx6Zr
ppWdO60Oeq2p2PsXT/8AkG2v/XFP5CrNV9P/AOQba/8AXFP5CrFeWz00FFFFABRRRQAUUUUAFFFF
ABRRRQAUUUUAFFFFABRRRQB8ceL2j/4SzVQiEH7XLkk9fmNYe3IrY8Ugnxbq/wD1+S/+hGs9IwR6
V7EdUjzJNRIApzViMYpCFA9xSeaAMYqloQ22DHByKs6egmv4EPeRf51SZs0+3meCdJV+8pyKmWqa
KStqeufEDXNQisrTS4pGQraq8yo333I7/n0NePHflt4bdnnIrf1HxA986y+URIVCuxbOcccVmh3Z
juGQeoz1rHC0FSpKNteppWquc2+hUQ4NTH5hRMvzswXaucBfSmpLs610bGL11QwrjtSBiBjt6055
tx4AFRs2TSuUk+paURBMBiPwpILZppcJj8agMp2Bdo4p8TkPnJHuKNxWaJmHlnaw5FNZQ1TXQeWM
TcdOcVVDYpkpdRrR806IyQSLNG7I6nKspwQaCxNKGI4PSlZMq7Ra1W+bUbhZ2XDeWqn5i2SBjPNb
ekXEdlo4mikka+lZkwBgRpjGQe5OT9Me9c4VBBIHFON5KYUgAwoPPqal01a3Qak279T7QsONOtv+
uSfyFWKrad/yDLT/AK4p/IVZryGeogooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPjzx
PtHivV+Mn7XL/wChGsguewxWz4ui8vxZquD1upD/AOPGsSvZWyPJe7GtnNNKnNWIreSZgFQnPStm
Xw1f2qn7XZ3EWDjmMj9absF7HO7akRCWAAya7nRfh1ca1pc19b3MQaNyggdsMxGPy61c03wRqVvr
MUM2meakbB3+YFXX0Bzj9aj2kE2r7F8snbQqaL4TSLwzdeIL+MvDHhI4wR8zE459P51xtzM5kkC8
KxzivffGlrb2vhK+t7dY4YvlYJHwuQwx+NeFXFi4y4wRUYebqJy8wrRVNpGY2fWkwauW9hcXlylv
BE0kjkAKBXrHh/4VWNrbrJrjme4bBMUMmFQehOOT9KdSpGnrIdOLn8J48Is9PShIWdwoHWvoWHwT
4Zt7t549JjIJyqSOzKv4Z/nUlh4T0PTL97y00+JJWGAGy4X6Bs4NYPGw7Gyw8+54fo3hPVtcm8u1
tH2/xSONqqPqat6p4F1vR5As1t5sZGRJCdy/4j8a+gGYscnHTHAxSoQrqxUMAeQehrH67LmvbQv6
srb6nz9ovhPVtcaWKzjTCDLl3CgfjXRx/Ca/NgzyXVut0CwEYJIIHTn35r1oRQpLK8MMcXmOXYIo
AJ/CnUTxs2/d0QQwsUtTxcfC7XC8CDyAJBlmL8R+x/8ArZp0/wAK9bihZ1e3kYdEV+SPxr2aip+u
VCvq0D50vtC1DSJSl3btGw6hhxzVBo8ONw5zX0tNbw3EZjnhjlQ9VkUMD+Bryvx94X03TJ7afT0M
JnLboQSQMY5Gee9ddHFKq+RrU5quHcFzJn0Vp/8AyDbX/rin8hVmq9gMadaj/pkn8hVivPe56CCi
iikAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAfLHi7TJI/E2pfaYZIi1w5BZSMgsSDWz4L+H
EN/KmoawSLAoWjhJKtIc9+Pu9a+iJbWCdWWWJHDDB3KDWTqWnQraxlp1SRBtBbjcOwxXVPFycLJW
OWGGSldu5zC2FhFHHHDp9pHHH9xVhXC/pVxp5X4aRyPQmo6K4XJvc6kkiC3s7a0Mht4EiMrbn2DG
4+p96uQ27zglBnBx+NRVd0y9Fnc5Y/u24bilu9QJP+EZsta0eW3v0kKy8EfdKkHqK8k1z4bazpkl
y1pGL2CNhtERzIVPT5RzXun2wTHZZxuWfnzGQ7R71Ws7We0up57p1EXJLH+KumlWlS0jsY1aMam5
5d4H8OXOjtJqF2PKuJY/LWPoUU4zn34rsKs3stvLPut4yi9we5z1qtWNWpKpLmkaU4KEeVBRRRUF
hRRRQAUUUUAFFFFABXmuseE/EmrareahFYSTwiVghVsnaDxgZz0r0tAC6g9Ca7SGGOKIJGoVR2Fb
0KrpttGVWmqisws1KWUCsCGEagg9uKmooqTQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii
igAxWH4ij/dwSehKn/P4URa4yXjRXCjyw5G4dhV3U4IruxJaRUC/MrnpUvVAcnRT5YmiYAlTnoVY
GmVAwooooA1rbXZoYkjaNWCjAPfpxWfNdT3BJlkZsnOM8VDRRdgFFFFABRRRQAUUUUAFFFFABRRR
QAV1WlXq3VsFPEicEE5J965WnwzSQSCSJyrDuKadgO4opsZLRqx6kA06tBBRRRQAUUUUAFFFFABR
RRQAUUUUAFFFFABRRRQAUUUUAcTdf8fUv++f50zzH27d7bT2zxT7r/j6l/3z/OoqyGFFFFABRRRQ
AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUd6KO9AHcQ/6mP/AHRT6ZD/AKmP/dFPrUQUUUUAFFFF
ABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHE3X/H1L/vn+dRVLdf8fUv++f51FWQwooooAKKKKACi
iigAooooAKKKKACiiigAooooAKKKKACjvRR3oA7iH/Ux/wC6KfTIf9TH/uin1qIKKKKACiiigAoo
ooAKKKKACiiigAooooAKKKKACiiigDk7jTbxriRlt3ILEg1H/Zl7/wA+z0UVFhh/Zl7/AM+z0f2Z
e/8APs9FFFgD+zL3/n2ej+zL3/n2eiiiwB/Zl7/z7PR/Zl7/AM+z0UUWAP7Mvf8An2ej+zL3/n2e
iiiwB/Zl7/z7PR/Zl7/z7PRRRYA/sy9/59no/sy9/wCfZ6KKLAH9mXv/AD7PR/Zl7/z7PRRRYA/s
y9/59no/sy9/59nooosAf2Ze/wDPs9H9mXv/AD7PRRRYDrowREgPUKKdRRViCiiigAooooAKKKKA
CiiigD//2Q==