20220713
10375300
1.0
FALSE
GIS_DEP.Bacteria_2020_Revised
002
Server=depweb.world; Service=sde:oracle11g:depweb.world; User=GIS_DEP; Version=SDE.DEFAULT
ArcSDE Connection
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/2.9.0'><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>
FeatureClassToFeatureClass Bacteria_2020_Revised "S:\Cabinet_Data\OAS\Bacteria_Data Type Dashboard Map\New Folder\depweb.world.sde\GIS_DEP.DOW_WM" Bacteria_2020_Revised # "Data_Type "Data_Type" true true false 254 Text 0 0,First,#,Bacteria_2020_Revised,Data_Type,0,254;Station_Na "Station_Na" true true false 254 Text 0 0,First,#,Bacteria_2020_Revised,Station_Na,0,254;Locale "Locale" true true false 254 Text 0 0,First,#,Bacteria_2020_Revised,Locale,0,254;Waterbody_ "Waterbody_" true true false 10 Long 0 10,First,#,Bacteria_2020_Revised,Waterbody_,-1,-1;Latitude "Latitude" true true false 19 Double 0 0,First,#,Bacteria_2020_Revised,Latitude,-1,-1;Longitude "Longitude" true true false 19 Double 0 0,First,#,Bacteria_2020_Revised,Longitude,-1,-1;Ambient_Ri "Ambient_Ri" true true false 10 Long 0 10,First,#,Bacteria_2020_Revised,Ambient_Ri,-1,-1;Intensive_ "Intensive_" true true false 254 Text 0 0,First,#,Bacteria_2020_Revised,Intensive_,0,254;Reference "Reference" true true false 254 Text 0 0,First,#,Bacteria_2020_Revised,Reference,0,254" #
20220713
10375300
20220713
10375300
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.0.32739
Bacteria_2020_Revised
bacteria
water
dashboard
health
Data for KDOW Dashboards
Enterprise Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
GIS_DEP.Bacteria_2020_Revised
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
DATA_TYPE
Data_Type
String
254
0
0
STATION_NA
Station_Na
String
254
0
0
LOCALE
Locale
String
254
0
0
WATERBODY_
Waterbody_
Integer
4
10
0
LATITUDE
Latitude
Double
8
38
8
LONGITUDE
Longitude
Double
8
38
8
AMBIENT_RI
Ambient_Ri
Integer
4
10
0
INTENSIVE_
Intensive_
String
254
0
0
REFERENCE
Reference
String
254
0
0
SHAPE
SHAPE
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
20220713
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3ailp
KQCdDSZ5p2OKhkBGMGpbaAzfEjE6M4VQTuXr9aw1luLWxaaS0iQhflKda6e4t47mIxSjK8Gq9xap
5IQ8rjGKzbuhHK6jf3+nWiSrceb5xCjIHy+9S3WoXsLJAZJWYpuLqgrT/sS0KspXKt2NTT6bDdIq
Oudo4NRoSUIb25m0mVwcTKDgt3rNkvbmXT7qCS4fzQm4AqAeo6e1dFHZRwwGDb8hqKPQ7dVf5Mhx
g/ShWAs6OH8iMOxdtvLHvWsVOKqafbLaxKF6Y6Vdd129RWqRRH0YU8Nio96n+IU7qOKSTQEiNuPS
nk4HNNQrtpSQRWi2GDE44pqjOaQyAdSMUzzgM7QSaW7AmxgDgUx3Cfe59hTAJZB8x2j2qIgI2Opo
dkA55d2eGXPALCq4chyoHA6Us0hVC1ZeoyNbW6yIC8z4Cj60l7wI03+6+Tg4qFZUibLDOayzNqNi
8Ud2qlJ+AR2rWjtwnzP8x9KHHW4yaHYqlnOWbmqGoeHtK1Vg91p8LOOd2wBj+XWryNuOQOR2pJZf
nHHIocuoC21vBaoIoIUVF42qMY/AcV4j4/1G51bxrcwSTyJa2qBUgVio3c5Jx16CvcPNWZgMYwK5
HxJ8ObLxPfLqS3EtpfBNhePGHHbdxW2HqQjUUpK6JknY4X4bahe6f40jsYZ5ZrW6jJkhdywXBA3D
PT/69e7BQOa4zwf8PbLwrdyag873WoOuzzW6Kvov5CuxBYn2p15wlUcoqyBaLUkopKWsxhWD4p16
40K3tXtreKaSeYRASMQBkgZ4+tb1cZ8QrcXNrpcTKWU3aZx6bloA6Sym1WSfbd29qkWOTFISf1p0
mo2QujatdxicHBjJ5p9nplrp7loFOenJrmNChD+O/EskiE7ZE2ZH/TNelDQHQTahY283lSXcaueN
pNWeODuBzyDXEa3d/aNLvjGPKmXIVQPmJrotFaVtA00y7vM+yx7s9c7eankQG7TDIo6sKj+zhvvM
x+hpwt4x0BP1NUApmj/viomlTd94H6VKIkA+6KNqL/CPypMCDJb7i/nUcjEHDkA+lWGkBOBVG4y0
wx6Vm5JbCH5HtRuCnk8egqERkcmlBz2qOdiuyTzEP8X6Uu9R0BJ+tQ45yKaCS3pS9owuXo1DoDkj
NP2Rg8fN9aoPLKifK2B9KEEiKJEfd6g1utVdDTuXSF3fdGPYUvlgdCQKhS4WUjBwfSpd2RjGKi7Q
CiNCeC350/yBn7zY+tEac1P2xVx21GQiFFPTP1p4UL0AFKM5p1MBhPHFVXO1iSasspJqje5GF7mo
auIhLNdSeWg+XIyfWotUtHnttiNskVsq30q3DsRo41yeeeK5zwXPJNY6o00ryFdRnUFznA3txzVt
3Wg0rF4WV9dTRPeSqVh5VR3rUQ7sbsj3qK8vhbLEqIJZ5TiJDxk/hUUOp/Le/aYFS7tYGmMStlcA
HH8qVr6gXcgDO7H4UrxErvYAg984rBbxCE8J2+vm2UtMU/dFjgbveo9L8SpdadqE/wBmCeVIow0h
IORnr2osB0CxYO4A1x+rfFHR9F1J9PSOa5mhOJ/LQ4T2z3PtXV2NxcX9lOGhjjcIfLMbkg8cc185
3cwstc1K1vsRXguHaTd/Fk9R6iunDUY1J8snYUnZH0F4d8W6X4psmutNaR1RtsishDIfQit1HVge
MfWvC/hLds/ijURFG6QS2zsrgkByuATjv9a6Oxu7lvDHgd2uZi0t7KHO85cYk4PrWdSCjJpO40ep
hgenNLXOajrsFpeywwGEyRn5xJKVx+VaGm351K0W4hYYzgjsDUAadRyQxTbRLGr7Tldwzg0wvcD/
AJZoR9aUXAH312n3oAmJzyf0qAxxxyvIkarJJy7Act9akSTfnAH4GkmlhgieWZ1SNBlmY8Ck9QK7
Wtq53NbRM56sV5qdflUKqKAOAKSIpLGssbh1YZUjoaXy8nk5qdQJKOxpkMiyxh0cOD0IORUlUBGB
nvSt92nY5pCMClYCFQCc1TmwJ/wq/sGODVK42+dgdcVnJaCYzJJpvNLjgmm7s81kyQPFRmTDlcVI
c9B/OowTFNuK5Q9a0pRUnZgO3KMEnIpJSrYMSsDU62iPIHB+Q9qslVHQAelaRtEopTp5KrJ0bvVy
MEgMe46VBdglU3D+LmrsSgqOKH7yQIcjdsU84pu4A4oc8e9PoMUmjtmmhcrShTii7AUc1nXjlLlG
rRPyrWXcpvuEHemARP8Av1J9a5nRbHXdFe+hWximhmu5ZlYnszE+vvXTxwFm56CrW1QuCTms4uy1
GzOvbOS5NpcxhRdW53BO2f8AJqO30ySe5v7y7ASe7tvs5UdAvPP61dEJVwwPfvUrsFd+uNo7+9VG
VxHK3Hh/UZPDcOhqqLDC6bZM9QKm0TQL3S9P1BJFRjNIrIp6MAuK6a3+fJIOB0zUrqCmMHIqr9gM
rRbC6tr+a6nAijZAohB4znrVLU/CcGpa4s89vFJa53sCOSa6TBwM0/GRii7A5oeHpIvGAv7aKOOz
WyeABRjBO3H8qyrXwnqMWheFbRgvmadcvJN7A78f+hCu7HHFLTuBz11o80Go3FzbW0c/2g5O/sa1
dLtpLWyVJdu8kkhe1W80e9ABmmna3BFKeeRRikBG0CHoSPpWN4sjaPwlqfzE/uv6it3jHWqWr2H9
qaPdaf5gj89Nu/GdvNFwK+gLI/h6ww2B5QrE17xvBoWptYyRM7KobP1q7o+ia5pqQQSazBLbxDGw
QkEj86u6h4Z0rVLtrq5hDSEAE/SmBH4aj2Wk224aZS/BKBR26AVuU2OOOFBHGgVR2FDHFDAUnFGQ
Rmq81xGvBPNOjdWjypzSuA8nP0qlcqRLu7Y9KuA8YPaqly7b9ueMVnLVCK5yRTApH0p3NGcrWG7J
Gh8ZAVm+gpSsk5CrHtXvmrFiAEkIGeatoPm5rojaOiKsNjQKoUdqft55FK6Y5FJvyMUNdwIriMyx
FQOe1V47toyI5QVI4zVwqe1JNbLKmGHPrVR7MBY2GN3XNOAy2eaofZbmA/Idw9Kev2sDJP4U3Fdw
V+po1Gz8cVWhvDIxRxhhSSTKhwTk+gpSb2GTO52+9U0DTXLY/hpJJ3cYRTUtqhiUlvvNSStqxFgq
EQDPPeoiNx4Jp/GeTmhjhcdKh6gN2joOa8++JXijUNEFpY6W6Jc3WRI7AHYg5yB78itTxh46tPCh
gthA9zfXA3RxJ2HqfavPtU1VPiPqdrZxRnS9ZiBMTTf6qcY5XjJ4GT2rehT1U5L3REeh+OfEGi6n
aLNeC60+SUJNG6DcAT1B68ele7LOksCyocKyhh9DXjei/DPW7jWraXVXit7S1lWRlTJMpByAPavY
JmgtLRpJXWKGNcsx6KBWuKdJz/dbBG9tR0UzyAAjgdTU4YVxEXxS8LPetbm+CRbtqTlTsY+3Ga7O
F4p4llicMjDKsOhFc7TW5RLuwM4ryjxR8UtQtteuNM0W0jK2jbZZ5TwzYzgcHjBHNer8EEV4F4p8
J63o3iK+li0+a7sJ38yOePGR2w3PX6V0YaNOU7VHoKV7aHovgLx+3iiW4sb+0W01CAbtqtuWRfUH
A54ORXcFh0ryj4W+GNTttRu9c1K2NskkYjto2+8Rzlj7EGvUie9Z1uWM2obAr21JFIHenA5qAHNO
DYFZKQxs80cEbyyuEjQZZj0AqK1vLe9i8y2mSWP+8hyK8k+LeoXFzrthpYmkitUQyOinAlbjH5c/
nXJ6Bc3OkeKtMnsJpA8kwjaDcSsoweCD/T0rpjhJTpOqnoS5a2Po7vUoII6VFGCygn0qUcCuaKKG
sW7VVuJi7CGPlz1I7VzPgvxU/jDTHmYfZrqJtk0B5Kn2Pcc9a6yC2S3yRyx6k1o1Z6gRrZRKh3Dc
3cmq9oRDctGRwTgZ9a0OOuao3sDfLNFnK0Rd9CXvcvPhRWdcE+bkjjFWUnEsYYnBxyKrS3MJBGea
ykm9BkRzjimrnJGKXd8m7tSYlxuCcHvWMYNvQmxasCMOvfPSrY/Ws21SQTeYQQK0Ca3loyiUHjk1
FtAOaQdadzxUt3AehzUlNAwADTq0QwqNwO1SUYzQ1cDPuYW4ljX5hUdsCd7unzH1rTNRFADSd0gG
ZKqBTTycEVOoOKikX5qhp2FYhO4HABpCGJ5zUzHBxSEhfU1FhWPGvifpl9Z+JINT8ia5tJo9m6JC
xiOehA+mc1j+DtPuda8Y2CxW0y20BMkszIVA44Az1ORXvxKMhV1DA9VIqOOGCBolghSJNxJCKAOl
d0MVNUfZdA5Ve5YLZ+tcj8TUuZfAOorbKzqU/fKoySnfA79q6uQqTTFRZFKMAyngg8g1yqVpDPmF
57I6acFGi24CD+WK+gPh5Bc2/gfTFud24wqVVhgouBgfhU48DeHPt63g0q3EinIUINmf93GK6JVC
KFUAAdAK7cRiPb20tYUY2DAoxS0hrmKDHGKbsAp9FJoCEx85FJjjFcDqHxf0e21GS3tbee6hhYrL
KiZAP+z611eheItO8R6SupadIWgJIO8YZSOoI7GlKm4q7Qih4p8Fad4sih+2eZHPBkwzRHDLnqM4
6dKx/DvwvsNF1WPU7qeS8uoDmAuflT3x6+9a03xD8MW981pJqsAZThn3jYp7gn1rpYZY7iFJoZFe
NxlWU5BFUnJR5b6MBygipM03IFLxSWgzz74XeGtQ0bS7m81WA295dSbhCeqLgcH3zmu/OduKU9KX
tinJuUm31AjCmlLDpil6nFNOVNRsBVktAZMhiAeoFNmiiht2IXk9KtE/nUFzEZlwp5pxk7iKMiMk
OCOn+NaSMPKUY7VBHZyuC08uQO1WAnPApSVtEA8DK8CmOwQEnoBk1MnTmo3UMWyODxSa0A8G8SeL
Na1fxDeLBfvbWNtKUt0iA5x/Ea7D4YeLNU1G7utI1aY3UkYDwz4AO3ng4/Cs7xD8L9T/ALYub/Rb
mE21w2/7M4OUPsemK6X4feCpvCy3N1fXCz3t1jdtGFjUZwB+fNds50PYpRXvCV7nd96N1HFJnjNc
xQY3DHSlHpTd4xSryKSYC01lzThxS0NXAYjYGDTScmpNopjr6VLTsBCQN1OC5NPZAFzWR4h1lNA0
O71N0L+RGWCA/eOOBU2EagjG7OaYTunY/wAKjj614YPiR4vMrXyyW3zfMLZlO0D069cV654V1pfE
fh631JU8t5R+8j/uH0repQnSXvLcE09jVY80LkEU8oByaZkk8VyiLSuD3p9V0Q5zU44FbRbZQtFF
Mlcxwu4GSqkgetUBVvdX0/TmRby7ihZzhQzcmkvN19pc6WU6eZJGRHIDkAmvnPVpDq/iPVL29LST
POyhHP8Aq1B4XHbGa7r4N3FzDe6np0Tl7BCr4Jz5bEE4H15rpnhpQpKo3uSpXdjzkOLCW4s7qJ4L
iGRg6OvJOc5/Wu88G2epW/w71vUreGVPtIfyo8Y+THLgfTP5V65eaTp9+yvdWkUrKcgsvSrQRPLM
ewbSMEY4xSrYqVSCg1sCjZ3Pli1SzOmrnYybfnLdc9817Z8Jjct4KgMrsYCzeRu6hcn+tW7n4Z+F
bq+Nw2mRrubdJGowrk9ciust7SGzgjgt41jhjGFRRwBRiMSq0YpK1gjGxNt4oA4o70vWuYoCcdaA
AeRQeaOg4oAYxwaQMTSuuRSYwOtQ7gDEHtTRgHmjvxSHNJiA8dKerZHPWoxTlyKEwHp1p+Bg01ea
fWiWgxgXBpCvPFPzSClYCPkcUoYZwadnmk2HrS1ARhnp0p/CimDI4pevWhAKGBNPpiqAc0/rVIBM
80HpS0UwI2XC9aw/E+ijxB4eutO37GkQ7H/ut2NbzLkD0qu4y4j9etRbW6A8B/4Qjxcsgsf7PiaV
jtWYSfJj1JxxxXtXhDQW8OeG7TTHcPJGg8xwMbm7mtZsJipUYtW1TETq2U3sJJLYY64qMY6VM5HS
mKq5rBrUCQfd4pR70gwooLDNUhjqRuKMjrQOeaYHDa98LtG1rUptSjkmtbuc5lMbnax9dvr71u+G
PCem+E9Pe205GzK2+WR23M7epP4mt3FFW5NqzegCdaUUYoqQEI700k4qSmMD2qWgFXpS9KYmeafj
POaFqAtFJmgVQB1qJvvYqRmwKapGMnrUvXQQxhtIpBzSt8x5puM9KzYABg1KqjrTFxuFSggcCqih
i4oopCa0AU80dqQ8c0hbJpMBGHzAinikzgZoz3oARvU01QSPahzzSB9oqbq4EuMLikWmhyetPHNU
mAuKKSimAyVtkZNNiTC5PLHqaSb55ETtnJqagCB1yeaaCUyQcmrGAe1MkjGKzcXuIbksv+0aTysf
MTzXJ+PPFE/hjQPPsVV72VxHEH6AnjJ9cV5hbfEDxZpky3Ml3FdRbgZoXTqO4U54rWlh6lWLlFbC
bR75nmlByaraZcpqNjDeR58uVAy5GKu7QKyURjdpNPHApaTpVpWGLRSUtMAooooAaTxRu4pTiikA
g5pTntmjFOHTrihANwAKQHjrSOxFR5qXKwEh29SajcntSc+lHGCzHCqMkmk3cQoJxzSHiuNvPij4
ZtNRe1N0XjjO151UlVPcdK6mx1Kz1S1S5s7hJonGVZT1FDi0tQLOcUu80HGOlIOBzSAeobrTwAet
MzkYBxTx04q0MX2phXB4p5JpMZpsDyv4meL9Us9Vg0TSplgR4y9zKBlhzwo/POaxPCPjjXLDxBZ2
N/d/a9OuDsIZQHQ46g9+1dZ49+H114gvoNU0q5ihuo1KyxyA7ZR+HfpWP4R+G+qw6/b6rrEkccdq
SY7dOrsRjJ9uf0rrjKh7Bpr3idbnrO3ikKH0p4BIoIO2uOxQzGFp6tkVzni/xdZeD9MS5uo3mllb
ZDCn3nauS0f4uQ3OpQWWqabJaC4cIk4IKBicAHknk1Uac2uZLRBc9RpaRcFRg5B70tAFcfNdN/si
p/rUUAy7v74qboKACkYZFLQfegDi/HfhSXxPo3lWsix3sLB4WY/Lkdj9fWvM4fh14p1C5SyuYYba
HI86cMSNv+zxya96lwOlMyAvSnTr1KUXGL0ZNkR2SRWdpFbJwkahQKsGZPWq6/M33eKkEe7tWKkx
kiS7z7VIaYsYWpKuN+owo70UdTVAFFISB1oBHrQAMOKQDiguoHJFMdwy/LS0AkzS8VRJbdy1G9vU
1HtBXLLnmmAfNUwTHWmsgzkUNPcY5eKy/EaXL+Hb9bIZnMLbR68c/pmtEg460m4dDzT5rAfLGny2
kOmrHxGI1w8bjawPfINJouqappNnJfaTfzWipIzpHkiNgCeq9wa9/wDEvw80HxNaypJbJbTvz50K
hTu9TjGfxriofg3cS3C2t9qu7Tl+95aBWcD+Hg8fWvT+t06kbVFsjPla2PT9FvW1LRrS8dCjSxhi
p9avt7VHbwpa28cKDCRqFX6CpiNygivLLGoD3qQkgVGCQaeCeppxAUNupaTIHSlx3qhhRiilpgJk
0UvaigDyz4v6Xf3EdhqdrBJcw2rHzIo1JZRg/MAOvXtXm9hY3uuarZ2NlZXDM0yNIzxlRGgIJJJH
HGa+lnwabDb28DFooY42b7xVQCfrW9PFThB01syXFN3Ft4xb28UAORGgQH6DFSOcITRxmkk5Qj2r
nRQ23GIs+pzUtQwMBAtTU7gFFFFAEUq5xUeM5GKsHgVCSQTWckhEfAOBT/MYAYpPlPfmjAB9qlAP
SUnrUgbNQY54pwYgjFUpAPaTDbaPM5xikG0tkilTBB4p3YDS6kEVDJIei9KsGFSc03yQvK80mmwI
NjNj0qUYQDFRs7Z5GKYWFRewiRyu7NNzTSR+NA6dDSAvZHSjrTAfmp+RW6dyhCKhdCDmrFRuamSA
YG4pQeenFNxmlqEIcw79RTQWPTgU4LxSYOaoAw3U0vzd+lKG7Gn8EU0kMQKAKWjAxSE4qgFJApoJ
JoOOtBIFAC7gTilOCMVGVO4EUEEd6VwExhqftBNNAA60ue4pLzAAuG60rkBG57VEWx1obPlk47UJ
9gCFcwqa5rWPiL4e0XUPsM92HmX/AFojGfL+tdAxl+wsIf8AW+Wdn+9jivmnKwanqMdwPLu/tUjS
h+CSWPPPUV04Wiq0+VuxMnZH0ppGtadrtkt5pl0lxAeNydj6c1e3D1ryH4MJLu1ieAMtk0oGMYV3
wPmHr6V6wASM1lUXJJxWthrYdI/YVGOtO2mkWNs5rF3bATFGamCc5NIU+bPanysBmD6VIqgCnYFc
14i8baNoVvcLLfRG6SMlUVtxDds46VSiM6BigfbvUN/dzzTCzDIr5tTWtc1M/wBpT6zci8lG4PE+
AnoB7CvY/hnr17r/AIaL6i3m3VvIY2m/56AEgH68c1vWws6cVJ9SU0zrzMRwOtN8xsdeae20OOKV
gu72rkd+4yNWB4brUflncTxUrhS2FpgB6Un2EOjVUO56c0wzwOKRkJWm+U3anqBZ27Tkmm5y3FZf
hvXoPE2hW+pQAoJVy0bdUPoa0wCtW9NCiUdKa6bhxSK27ingbRT3AiHyDkUi5JzinOaQDsT1qeog
zyO5pd2OcUu0LzSFs9qNgGk5ORS78DHWmgUcg0rgPVueaXILUwHByae4wMiqWwxSQM1GcmnAkryK
RRk+1D1EG89AKUElhml+UHApMgE0DEdsnApysMUhIxTcjrSvqIVmDHOBgU2SQ7MAdaCOPrUTnayk
kADqTRFu4Dz8mB+FY2q+EtD1iXzr3T4WmPWRVAY/U1sqd2CMEe1LsYZNJXvoBDY2VtYWyW1nbxwQ
qMBI1Cj9KthSBikQHvUg4qkuoxOBxS9BSZyeaiuby2s4GmuZkiiQZLMcVaAmPA5ozVW01G01GPzL
S4jmX1Q1ZwM0AcV8TPFl54X0FTpgQ6hcOEj3DIUc5bHfFeE2McN3atPOy3E0xLTSP8xLV794/wDC
D+K9JRLOVIb+Bw8Lv90/7J9q8if4O+KruWRLf7NZsPmdy7bJPYcV2YWrTpJyluRJNnBxX0ltqEtl
azKLZpBGpJztJOOP0r6l8G6FbeGvC1pZ2xZwy+a7seWZvmP6mvGvDnwR1U67bzamUghtpVlZgSS+
DkKvqOO/rX0GFWNFRRhVGAPQVhXquel9CkrDAPmJNIylm46U4jmjJ6DpXIA1VwN1P2BuRRj+EfWn
qQBx1qkhgOF9aOvSmsx+lOAJGapAYHgrw/J4a8L2enzur3CL++dejN6iuhNFFPcBAoHSlJAooo2A
awBGaZRRUSECnc1KwOeBRRQtUMCpCmmr94UUU3oBzfjTxja+ELKKWWB7i4uGKQwoeSfU+wrmNE+L
QutTt9P1XTnt/tDhEnVhsDHoCOv40UV2UaEJ0JTe6Jb1semr8y8HI9aZ5gTrRRXE9NRiq+TQetFF
K+gCHnvTlK4wTRRQtwGMecjoK8h+JniHUZdfi0exu5La1ii3XGw4Ltnp9MEUUV1YOEZ1kpCk7Izf
BPiXV9L8U2lpNfT3dhc5QwSHOw44K/1+le8UUVtjYRhVaigg7oBUcs8cRHmyImTgbmAzRRXIUPGG
GQcg14l8WbqW88WWmnyu6WsERdY84WRsjn3xkiiiujCJOtFMmWxz3hSWbSvGumvpzlZJ3MbxA8SL
gnke3Wvo6iitMckqzSQQ2F6UUUVxlDSQOTUbOpNFFZzdhEbzwoyo8qKx6BmAJp4B6g0UVKAXd2H4
09APxooqo6sBASXoLc0UU76DP//Z