20231006
16515100
1.0
FALSE
SAward11
002
0.000
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20231006
16532200
20231006
16532200
Esri ArcGIS 12.9.0.32739
SAward11
temperature
Data indicate the average temperature changes from 2000 to 2019 in South Africa
Shapefile
0.000
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
FALSE
FALSE
SAward11
Feature Class
0
FID
FID
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.
OBJECTID
OBJECTID
Integer
10
10
0
ProvinceCo
ProvinceCo
String
80
0
0
ProvinceNa
ProvinceNa
String
80
0
0
LocalMunic
LocalMunic
String
80
0
0
WardNumber
WardNumber
String
80
0
0
WardID
WardID
String
80
0
0
LocalMun_1
LocalMun_1
String
80
0
0
DistrictMu
DistrictMu
String
80
0
0
District_1
District_1
String
80
0
0
Year
Year
Integer
10
10
0
Shape__Are
Shape__Are
Double
19
18
15
Shape__Len
Shape__Len
Double
19
18
15
WardINn
WardINn
Integer
10
10
0
OID_1
OID_1
Integer
10
10
0
OBJECTID_1
OBJECTID_1
Integer
10
10
0
Province_1
Province_1
String
254
0
0
Province_2
Province_2
String
254
0
0
LocalMun_2
LocalMun_2
String
254
0
0
WardNumb_1
WardNumb_1
Integer
10
10
0
WardID_1
WardID_1
Integer
10
10
0
LocalMun_3
LocalMun_3
String
254
0
0
District_2
District_2
String
254
0
0
District_3
District_3
String
254
0
0
Year_1
Year_1
Integer
10
10
0
Longitude
Longitude
Double
19
0
0
Latitude
Latitude
Double
19
0
0
Temp2019m2
Temp2019m2
Double
19
0
0
Temp2019
Temp2019
Double
19
0
0
BlackAfric
BlackAfric
Double
19
0
0
Coloured
Coloured
Double
19
0
0
IndianorAs
IndianorAs
Double
19
0
0
White
White
Double
19
0
0
Other
Other
Double
19
0
0
Total
Total
Double
19
0
0
Blackpc
Blackpc
Double
19
0
0
Employed
Employed
Double
19
0
0
Unemployed
Unemployed
Double
19
0
0
Discourage
Discourage
Double
19
0
0
Othernotec
Othernotec
Double
19
0
0
Notapplica
Notapplica
Double
19
0
0
Unemploypc
Unemploypc
Double
19
0
0
DWpc
DWpc
Double
19
0
0
Noincome
Noincome
Double
19
0
0
R1toR400
R1toR400
Double
19
0
0
R401toR800
R401toR800
Double
19
0
0
R801toR160
R801toR160
Double
19
0
0
R1601toR32
R1601toR32
Double
19
0
0
R3201toR64
R3201toR64
Double
19
0
0
R6401toR12
R6401toR12
Double
19
0
0
R12801toR2
R12801toR2
Double
19
0
0
R25601toR5
R25601toR5
Double
19
0
0
R51201toR1
R51201toR1
Double
19
0
0
R102401toR
R102401toR
Double
19
0
0
R204801orm
R204801orm
Double
19
0
0
Unspecifie
Unspecifie
Double
19
0
0
IncomeLE40
IncomeLE40
Double
19
0
0
20231006
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3SCTc
u09RTpIY5QBIgYA55qqjFGBFXEYOoIqqkbO5lTndWF9h0FIWAp1RsAxJI4HeszUGXzYmCsRuGAw7
Vmf2TcCBYxqdx8sZTcepOc7s561qjAwAMAU2Rjt4oAzl0mcJCDqVwSjKxOT8+OoPPerFpZy28u57
ySZfLWPY3qP4uvXrn8PSpi7LjvRGSWPHWlzBcmNJRRTAKKKjlkMYXC5LNgCgCSon/wCPmP6Gk3zf
88h/31SASNMrOoUKD3pgT0nWjqRS0gCiiigAoopaAExRg+tLRQAU3b82cmnYpjK3UH8KGAOm45zS
gVEHKkg808ONuTSTQiNW8glCrFOqkKTj2qRZo34DDPoetOByM0jRpJw6g/UUxgyhsE9qSQcd8VUk
u4LGZlllVUOMAv0pv9uaZ5nl/bItx96LCcordlpd46fyqRRk7iOaEdJEDRsGU9waGYheKSVgHUhO
OScDuajjc5OTwO5pmfPl5GIx0H96hO4xAfMmEmSoAIHv9aey5PBBqQqp6im43NgdB0pPUTFTaDgH
8KkqExtnIOaeC+OgpoCnU1u2HK+tQ1NbgGQknoK65/Czlp/Eiyf0ppGXz2Ap9Ielcp1kbOFx70zl
2wp49KeYgSD+NKoCDAFJpsRSnt7mZgsU7w7O453VGLK+G4jUGGf9gcVogZJNKBjrTGMhR0iVHcuw
GCx71Jj3opRQA0ioph80X/XQfyNTVFP1i/66D+RpgS0UUUgCiiigAqOcSmBxCQJdp2k9M1JRQBmC
LVimGniDbV5C98jP9aVotWLx7LiIKJG3gryUyMfjjNaVFAGcE1UyqTJCEEjEgDqvGB9etXLQXAt1
F0VM3O4p0qaigAprtt7U6opCwPtSbARQuM8daRyC2B09qGKsDjrVa+1Gz0q0+03twsMQOMsOp9Kn
yE2luWLq7gsbVp532xqOtcxP46hCHyLRy3Yu2BXGeIvFj61qCtbl1sojhUPf1JrPfUIsYXJajnR5
lfGy5+Wnt3Nq8vJb66e5mA3yHJx0FQ59azbe7lZeSvXp6VYF03cA1XMjgmm5XfU1bS9ubcHyriVB
6KeDU0ep3LSbmnc56ZY1ieexHH4ZqSK4KsvA47etVdHUm1HdncaRfyveLBNKzxP/AHj3rpCwDblr
zWPVJI5YmVApVga9GjcOiuOjAGpmztwlXnhZvYsq4anAYqNWVVyKUSqaE+51klFICCODTGcg4yKd
xlMHIqa3/wBb+FVl+9Vm3IEnPcV11F7rOOm/eRbpDS1Xa523y2xX7yFw349K5DsJWxjBPWjrTZTj
HQnPSnKMDnrQAdDS0UdPpQAUUUUAFRT/AHov+ug/kalqKfrF/wBdB/I0wJaKKRiQpIGcDp60gFoq
j/aEn/PnN79KtQSmZNxjZOejUASUUUUAFFApaAEpaKDQAlFITgZNIzKiM7sFUDJJPAoA5vxh4lTw
3p6NHGHupsiIHoMdzXj+oazqGryF728lkBO4IT8gPsOlaPxP8RQatr1ulhcrNBbRkbk6bief5CuV
tbh5lbdgY9K56j10PExeIcqjinoi9DJ5b4Pfjirinisp5FVThhuHak+2ylVTdtPHzCpRyp9zpbb5
YucYzxU/BxzWB5sssQTJ55I96tJeTKFDkYA7VopI2aTNrbgAAc96cqkfNWb9pldRljUnnyuw2nDA
c89avmByaRrJ6969D0G++3aZGzY3p8jY9q8xikdIwpOT3rf8KaibfWkSRyI5RtwOme1DaZphKyhV
5ejPRo/vYPQ00jDYpxOHB7UFSeR3pHtDlkwOaDhzmmKhJ+lPBA4p+oFJOtSKdrA+lRKcVIDkV6DO
FMvK25Qw71T1ABGguC20RPzgZyDxirNv/qhUd/EZ7KSNc7iPlwccjmuNqzsd0XdXJjgnIGD2NCn1
61HHl1UuCrADIz3qXHOaQwpOoNIxxSj7tACmijtRQAVna1qdro9ml5eyeXbpKqs+OmeB/OtGuJ+L
Az8Pr3/rpH/6EKHoTOXLFyXQ7G3uYLuBZ7aVJYnGVdGyD+NS14H8KfF50jV/7LvZyLG64Te3CP2+
ma98HP0pJ3RFGqqseZFV9Nt3dnIbJOThjViNFjQIowBT6SmahS0hIAJJwB3rgtW+Lfh/S797VUub
oo213hA2jHXBJ5obsTKcYK8nY73FGPesLw54w0fxRBv0+5HmgZaB+JF/D/Ct6gaakroTn60hOTTq
QjJoGcj438WW/hq3gFxbyypPnHlttxj3ryLWfiJPrlrLZ28T2kBILEzFmcehqz8UNZbWfEs9ur4t
7QeSMHjPc/nXBW0Z8twucg89ecetRJvY8/EVJybgnoaMcYfPzDI7CpzmEIFBHGTVKKRTIPJ27s/M
N1OuJHKnacZY8jt9az5Tz3R5VoXlAYjI5PfNTrtVgCOB0HWobKFjbt5h24/ibpSxOzttRVz1J/H3
pcovZ8rt3LqBgwPPrmrQGTnNVldGgQhxvHPBzmkM7NxjA+tKyRUeWGhrKw2gd8UueaoCRyVJOSvp
UizOzAZA55xT5iHJtm0pPFaGkY/te1z08wVzrs3HzH86v6G0x1m0jTJ3SrxVc2o7fvVZdUe01Oh3
LUFKSVXk8GrifQXsWOKYZFzVfzsdKiMhJ7/nW6pSZnKtFDKepyKZSjg11s5EXrcjy8dwalZQw5Ga
rW7hWwe9WOSfauOorSO2m7xA4A9KaSBjHSnEAjDcimsABxUFgw6UooHKj1FC9TQA4fypKM8migAr
ifix/wAk+vP+ukf/AKEK7auK+K4J+H17js8Z/wDHhSexnW/hy9GfOsUjQzJKpwyMGH4V9S+EtaXX
/DVnqAGGdNrjOcMODXy9aWst7dw20K5kmcIueMk19P8Ag/QP+Ea8N22nNJvkX5pD23HriogcGA5r
vsbtJS1jeJvEdp4X0WXUbr5guAkYPzOx7CtD0m0ldlfxtqo0bwjf3QIEnllEyepPFfMK5bO5WYHk
49a6XxR451PxdN5dyVitEYtHCvb0z6muaDOHJHTBA9Kyk7nk4mqqslbZE9nfXOmXsV1aStBKmCki
N8yn3rttH+L3iGxuWN7JFqMZXAjdQhBHcECuCLsVKv8AKuMdKbHEV3OyggDIOaSbWxnCco/Cz2eT
4324s8ppD/aSvyqZRsz9ev6VmXHxrvrqzMEGnQW90wwZTKWC/QY/rXljOPQc85PIzUwtkDeYpBc9
RngVSkzojiKsuo67Mv22SZ5/NdnLM5JOT1NU0cFGJyvzdQevIqwJJdoQjCluMnOaYR5kmcKOSSAM
c9sUjOXkMhYQ3SOqpkHOCT/+qtFruOcFmjxnjHXH0qg4Y4EZbjqGHrV6AJCyyFw4HUYoEk3oaVkS
8PlyAiIDOF4qFmQSMY1OBzgn246VfF0gXDoFBXP1NULtizKEAHvgZ96JIVaCS3LdspaIEsBkE08q
pYYPFUoN/lBiDheB608u4kUkZ/Gs2cztY0VYFducnHWnKfmBA6dc1ChAAJGCR3ra8N6O2u6vHaKS
qfekPoo6mkk2xwg5ySW5v6J4NutWsDdtKIEYfugRnef6CnaX4fvNN8T2sd5E8QV9wkXlTj3rvW0g
M0fkXE1ukShESM/LgdOPxobS5o0JOo3LAD7pI5rflVj144Smku6NMlUi8x2woFY39oamSd+lnOMj
Ewwa3YdrW69D8oqCZAgyO9bUkrmtXRFO3eWSINNF5Tnqu7NS0UV2HGFFNBxTqARNG2GVjzir3Ws5
PSr0L709x1rnrR6nTQl0HnrTT19qdSYrA6BqHk+lKPvn6VHuCE59cVIhyzHtmgBcUm7AGaUDBJPe
mH5jg9BQA/Ncb8Uh/wAUBfE84aPI/wCBgV2CjmuT+JaCXwLeoc4LR5I/3xSexnW/hy9GfPVldNaX
0Fwq7jE4YL9DXqn/AAuW7ik3yaTGYG4UbyGB9684S0hhw+CSvOSarXVyJQEQfKO571gptbHhU8RO
mvdZ6afjXcMkgOkxgkEIRIePrXmOrapqeryB7y7muFBJUO+QtVqZN91R9TT5m9yniKlTSTK/IPoa
soMwgkkHPWmKvmlhtAY85qWHbG+yQEp6GhBERYzJwRlRxnPekfIUrtJCHgA8elTyiIFthYIDnJ5q
oQBPhc7W9fQ0ythfkCdiM8L6UjbcFiSMAcD0qybINbBkIVvc1VD5+RiXceg/SmWk0Iw2klnLLjov
GKlhjV5h5kg2NxuHYUb2IyI/vAggjoajSVQvlsxGO60DvqWZNkZAhO4upUlxnikWIhctKGDdV9qS
LDSPhdyN8wx1qUI6Pt2gjoeDxSbIlNp6FgymcAbyu3GAO1LtkBYs3AIxzzVaKOQzA42jd1PFXlO4
YyOOvQ5qWzGU23djgG2H5gABwfWljDBgy5Y5/Om4KfKuSBx0609cFtzEjHapM73ZcR8nDcGt/wAL
a6dC1j7SI1kR18pgTjCkjJ/SudGOWCnipI2HmAkHGeMUJ2ZrTm4yTR9DLcRO3mJMhRl+Uhhg1BrG
oJp+kTXCMjyInCk9a8es9avbFFSOUsi4IRxuA+matS+Jb+8iNtIkZjfqQvNbc6PUeNhy+Z1cPj10
iCNZKSO4atjRfEZ1x5U+zeUsQBzuznNeaV6J4UsvsmipIR8858w/Tt+n861oJuZzQr1JuzehvZpN
1NorvLuA6U8Cox0FSr1oY4j1GKfG5Rs9u9NorN67midti8GDDI5FMnlWGJpGbaqjJPoKrxyGM+3c
Vg+I9WEscliIWUEcuTj8q5pQaN3XjGPMy/ZaxZ6ncMkEpLxkt8wxkVsoMLx35zXkUMhhuFcOygMC
SvXGa9Ut762uIlaOdGBwPvVBnhcS6yd90WQBS80HAHFAPFB1iD1xXNePgr+D7tW6Fo+P+BCtbU9W
ttLtJJ5nHyjOwH5j9K888SeL31uwNnFbeVESCSxyTg1MmrHNia0IQcW9WjznU7EfZWeNmG3kr61z
9dsRkYIrLutLtgfNVcHPK54NYHgpX0OdxUMrbmwOg4FdUtjuXiNVXHArn7+yNvP8qkIf0oRcUVoS
qvls+wAzmpS+5AGZ1GeRUabFJ5OcYzUqMzAKCjY6AiqLv0AIqZUL82Orc5FCMdwHQdOBUnzsCWOO
2DTVQI+GcA44NIlvXQlkYlTFH/DjBBxn8aqRqA+EUknq2cmrk8Yit1kVcqARuqopUoMHGDnb71Rq
5S6jSBCxxu3HsTToggVjgFR09QT/AJNCszHk7dvtkVJG+C5X1DEnpx2pXFzlg2yBklikY7hyKhMb
CYDOd3XNTROGJwfvdhzilAc5ywyeOaTZFSV3cljUcAA5B5+tPEY85QSMjg4HWn2iPcNsiVpH7KoJ
Nb3/AAh+tixbUZLKRIMBixHO3PXHWizewRhKeqVzA2EKo3YA4HNOUEr8x6HgmpZEO4jgoPalRM5X
IwemaVieTUskl4ASNp9hSqm1VOAQTyMdKRI/3YA6jvUnPAPQUGu7uyZWDVKkio4bnioFypx1z3p6
qDICR0oQ0tPM0Y3ErIqn5nIAB9a9egjENtFEowEUAD8K4Lwj4eluLtNRuY9sEZygb+I+tegHrXoY
aDSbZtShypvuFFFFdJoIvSpAcc1EvWpB0oY4ko6UtRhiKkqGaIKy9a09bq2Mq8SRj8xWpR1GDSau
rA0mrM8tdfnIXp2qRHIAAYg+xq9rNoLTVJkAwpO5foay5R+7OSeD1rkaszypRtJovnxJqcSLFFdv
heMnmqieItVinEgvZSQc4J4NUajkHOaybYniKv8AMyfVdRuNXuzc3BXfjHyjAxWdU9Qt1zjFQ9TO
U3NuT3GkA9qa0SN1XNTeU2M8U0KW6UhXZVPBNY+rW3nhsZBA3D3rYbgms6Rt8hYn9Ki9io6HOmxn
Eavs4bt3FTR2E8ZdmUYA9a2lAz1/OoLgEwNjGRzzTuVcz1T92SxyB/D61BIApKkZHUc9KkDMe43D
kZpgUF8MpB649aYk7rQZK/yCIZK9SD60xY88hF9QD3qcPyAq/nyabEokkLJnPoaZoncVcZ+YEBup
UZ5qy2nL90yA7uQVpqWiqo+Vi+MMKsgHGMFPXjpRcfMMSy8ldrfeHcHvWnpGiTareRwxpI6hsyFF
yQvel0TTxqurw2LXEdsJ2CiRxkZ7fjXunhrwzaeGLIwxN5sznMkrDBY/0FVGN2dGGw/tZX6GX4f0
nQdEmD2OmXazONhlliPrXUhgwkLDKYxg9MU52IdScc8fSo5cK6L0V+MVsezGKirJHB+KfAEd8s2o
aZiK5PzPEfuv9B2NeX+QIw6ygiRDhgeOfSvb/F/iKLw9pZYMftU2ViCjOG9T7V4pI8k87yzPueQl
iT1JNYztfQ8vGRhGfu79QjZlAqRST3oiRWT5mx7dalRdzLtFQkznhFsmhgeaVYkUs5OFUDJNeiaH
4Ht4YI59Sy8x+bywflX2PrVTwlZRabAL24s7qW4k5j2xEhVPcH1/xFdnBdi6QssUsYBx+8TaTXbR
pLdnXGnyq7H4VFCIAqgYAHakopD0rsQmxOetG6jJpKokUdakU1FSg0mhpktKDimBqcOaktMfvFOB
BqMjBoBwaVh3MDxVZ74orpRyp2sfbtXKNGCpXJwa9JuIEubd4ZBlHGDXn95aNZ3TwSdUP5jtXPUj
rc5MTCz5jOESDPf60kkYdCBxVsqGGMVHOmyMsKwaORoy9p9KAOamprAVlYzW+g3GeKTbtUjHFPQc
1JTsC0KBgTPQ1WurJXXchww9e9aEi7W+tQyHCHjrUNDu7mUti2fmYAe1QTQhd0ZJOeMjitSq12WC
gbflPeosNMxW01eSsmP94U5IljwoH4mrbI7IdgJPtUBIViBkj37UXGMaGNm3BRvHcjrTAhQYUAc/
dAqbjaB696a2BJjOfcUDI2zwcYPelCnzCc44xj1p8bAyYwfmp8kasCQOR6UCGRBhMsgJDp8wYHuK
928JeI213Q1kcxi9jG1lDZJP97FeHQhQuOSM96v6brFzpV5Hc2bbJE/Ij3q4S5WdeFrKjK72Z7fc
NfW8Ek80kAjjUu33jgDnt+NcXJ8R3W5LQ2yShc7Wb5c+v9KxtR+IF5qulS2UkAiaQjdJGxHHpiuY
zngVbqdjsq41N/u2aWv+IL7X5w1yybEJ2RqOB/jWYoGMDil8rIwOM05I8Hg8Vnq3c4nzylzS6h5e
ODk+vNdH4R0IavqZ8wN9liG6Ug9fRf8APpWNaW0t3cx28K75HOABXr2iaXFommJapgyH5pGH8TV0
UKXNK/Q2pxs+Y0URIo1jRQiKMKo6AUhYGmbs0HpXpJFuQ7dSHFRkk0BiKdhXH0U0N60uRQAA8UtR
09TkUxD1p46VGDing1LKTHUUUVJY5W7VkeINL+2QCeIfvYhyAPvD0rXQc0+okk9BuKkrM83qOZd8
TAda3PE2nrBdJPF8qzdQPWsVUbaQUORXNJWdjzZ0nB2ZnPEyDJxURUk8AmtFkB+V16etIiBBgVly
mLiikI5EGSvHrS1ZlkXBTvVak1YTGSJuXjrVJwTwa0KaLbz515+XuPapauCuUAAKCAwwRkVpXGnc
5h/EE1RlheFtsi4NS4tbjsyMKq9ABWbqNmSfOjH+8B/OtOpEjDjrStcSOcWCToVx3OaclrhtxYE/
StW4smjDSKwYdSDVPP4GoasVoVgnPQD8KXA4GTmnNHIp3EcHvQB8w6ZNIdhNpLZA4pgiI3Z4FWVj
IUZB4pcH6D3qrGip31K6RqDjP1qePHelAGOlOUlTnFNIuELMevTFSJE8kiJHGzux4VRkmrGladca
tepa2yZdj8xPRR6mvUdH8PWWhpmJfMnIw0rdfw9BW9Kk6huo3Q3RtFtLJY7wWYt7lowCuc7fWtXr
Sk5NNY4r0oQUVZGjdw+7RkYpmc0VdiQPWiiimAUUUoUmgBKUHFJRQA8NTgeaipwbHFJoCYGnVEDU
imoaLTHA4NSdaipsrmK3dwCcdcelS+5pHexm+IwPsMZIyQ/9DXLOcBSOa07y7utQk2sB5a/dA/z1
qhJBKo5TgL1rmk7u5y1lzS2K82DHnH41EI2IyRgetS4B4YYqQcqPpUHK423M97U8sGz9arYOcd60
JLS4lYiI5TFENqYpFV0/eA1DjdkuF2VUtmPLcCpooRHznJ9auXse2bgYBFRwQ+bJjOABVctg5bOy
IuS/PQVBeQJLESR846Grz20ijIAOPSkFuZEOTihq43FmIlnwd7fTFPMPlj5eRV27tHXHlgsveoIr
RpBlztU8e9Z8vQjladjNuZ02NGDyeKzDCexzW6+kkkhVPsSetZTqY5GRhyDispp9Qa7kOXOQVAH0
pkaMsnBG30xVkAsRtGTTzaSryEzSsUnqQHk9KVeBTwh6bTmnGFiAAKdjVR6kTYyKs6Xpd3q96La1
j3MfvN/Co9TW1oPhK41eTzLgNBajq+OW9hXomn6bZ6RbfZ7OIIv8Td2Pua3pUHPV7HRGDauyHR9J
h0WwS3Ta8uPnkCgFj+FXGbvQzVHXpRioqyNGxSxpKKKskKKKKACiiigApwzjim09elJgMooopgFF
FFADlPapFNQ08NUtDTJ6cnQioVbmpQcHNQ0aJmHqVgLY+bGuIyeFHY1nPtMZU/dPc1v63O0Wmv5a
b3f5VHrXLGK+8sfbLYxDp8y4GK55qzG4X1Fki3uPmAwOAabFCCcuflHbFWVi4AwCw5UrSzROCuC6
k+3X8qg55QT1GIREMbcKTwaNn73zAvOOpNKiuxyQSFz97ikOQd2NoxyP8iglxZHKfOTBTgHmmFBA
GZdo7EetS8sh2n5fagwyyTCKFN7EcKByfWgOW/QYZCU+XGTxTGDKO2fSrq6RqLRN/o7Lg4A3KCRV
dtPvkYj7LP16iPNFmJ0pditgkYyAevNRtkjBUD6CtU6DfhdyxA5HTcMiqsumX0CkyQSAD05x+VHK
yZU5LoZsr7SArc1n3FpFNIZGB3HritaKxmvJlhiUlmPBPQfWrNz4U1RBmNY5T/sP/jiocHIlUZN+
RzP2WGJwyFsin/jXdWPheP7KjTjbKR86Oqvg+xpP+ENtxIHWfGDnGwEfkaPYy6GqwnmjjbbTbvUH
CW0LOScE44H412GkeELez2z3xE0o5Cfwj/Gt+0g+xWwiMnmEdDtA/DileSt6dBLVmkaUYeY7eAu1
QFA6AVCzZpCxNJXUlYbbYUUUVQgooooAKKKKAClAoAzT6VwDFFLikpDI6KKKoQUUUUAFFFFAD1qZ
TmiioZSEkiWaPy3+6fSm3dlHeqqyMwC/3aKKzaRqjIudPNo4CyMyHkEocL+Oaq7HYfMpkIONxwOh
oorCSszOehNa6fPdxkqfLjJPLd/p61dTRcp+9mO8dNg4x9KKK0jFWL5IiroMWzDzMzdvlGB+H/16
u2tjDaIAi7mH8bD5vzoopqKQ1FLYs0UUVQwooooAbsQNu2ru9cc0FwKKKaQmxvmimNL+FFFWkjNy
ZEzk0yiiqICiiimAUUUUAFFFFABRRRQA8HilooqRi5NJRRQB/9k=