20220119
11381300
1.0
FALSE
OsceolaCandidateParcels
002
0.000
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Florida_East_FIPS_0901_Feet
<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["NAD_1983_StatePlane_Florida_East_FIPS_0901_Feet",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",656166.6666666665],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-81.0],PARAMETER["Scale_Factor",0.9999411764705882],PARAMETER["Latitude_Of_Origin",24.33333333333333],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2236]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>137249422.94257641</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102658</WKID><LatestWKID>2236</LatestWKID></ProjectedCoordinateSystem>
20220119
14231700
20220119
14231700
Esri ArcGIS 12.9.0.32739
OsceolaCandidateParcels
FDOTdo_not_remove_this_tag_a16426279498392025_Keep
OsceolaCandidateParcels
Shapefile
0.000
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
FALSE
TRUE
OsceolaCandidateParcels
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.
PARCELNO
PARCELNO
String
26
0
0
OID_
OID_
Integer
10
10
0
CO_NO
CO_NO
Double
19
0
0
PARCEL_ID
PARCEL_ID
String
30
0
0
FILE_T
FILE_T
String
1
0
0
ASMNT_YR
ASMNT_YR
Double
19
0
0
BAS_STRT
BAS_STRT
String
2
0
0
ATV_STRT
ATV_STRT
String
2
0
0
GRP_NO
GRP_NO
String
1
0
0
DOR_UC
DOR_UC
String
4
0
0
PA_UC
PA_UC
String
2
0
0
SPASS_CD
SPASS_CD
String
1
0
0
JV
JV
Double
19
0
0
JV_CHNG
JV_CHNG
Double
19
0
0
JV_CHNG_CD
JV_CHNG_CD
Double
19
0
0
AV_SD
AV_SD
Double
19
0
0
AV_NSD
AV_NSD
Double
19
0
0
TV_SD
TV_SD
Double
19
0
0
TV_NSD
TV_NSD
Double
19
0
0
JV_HMSTD
JV_HMSTD
Double
19
0
0
AV_HMSTD
AV_HMSTD
Double
19
0
0
JV_NON_HMS
JV_NON_HMS
Double
19
0
0
AV_NON_HMS
AV_NON_HMS
Double
19
0
0
JV_RESD_NO
JV_RESD_NO
Double
19
0
0
AV_RESD_NO
AV_RESD_NO
Double
19
0
0
JV_CLASS_U
JV_CLASS_U
Double
19
0
0
AV_CLASS_U
AV_CLASS_U
Double
19
0
0
JV_H2O_REC
JV_H2O_REC
Double
19
0
0
AV_H2O_REC
AV_H2O_REC
Double
19
0
0
JV_CONSRV_
JV_CONSRV_
Double
19
0
0
AV_CONSRV_
AV_CONSRV_
Double
19
0
0
JV_HIST_CO
JV_HIST_CO
Double
19
0
0
AV_HIST_CO
AV_HIST_CO
Double
19
0
0
JV_HIST_SI
JV_HIST_SI
Double
19
0
0
AV_HIST_SI
AV_HIST_SI
Double
19
0
0
JV_WRKNG_W
JV_WRKNG_W
Double
19
0
0
AV_WRKNG_W
AV_WRKNG_W
Double
19
0
0
NCONST_VAL
NCONST_VAL
Double
19
0
0
DEL_VAL
DEL_VAL
Double
19
0
0
PAR_SPLT
PAR_SPLT
Double
19
0
0
DISTR_CD
DISTR_CD
Double
19
0
0
DISTR_YR
DISTR_YR
Double
19
0
0
LND_VAL
LND_VAL
Double
19
0
0
LND_UNTS_C
LND_UNTS_C
Double
19
0
0
NO_LND_UNT
NO_LND_UNT
Double
19
0
0
LND_SQFOOT
LND_SQFOOT
Double
19
0
0
DT_LAST_IN
DT_LAST_IN
Double
19
0
0
IMP_QUAL
IMP_QUAL
String
3
0
0
CONST_CLAS
CONST_CLAS
Double
19
0
0
EFF_YR_BLT
EFF_YR_BLT
Double
19
0
0
ACT_YR_BLT
ACT_YR_BLT
Double
19
0
0
TOT_LVG_AR
TOT_LVG_AR
Double
19
0
0
NO_BULDNG
NO_BULDNG
Double
19
0
0
NO_RES_UNT
NO_RES_UNT
Double
19
0
0
SPEC_FEAT_
SPEC_FEAT_
Double
19
0
0
M_PAR_SAL1
M_PAR_SAL1
String
1
0
0
QUAL_CD1
QUAL_CD1
String
2
0
0
VI_CD1
VI_CD1
String
1
0
0
SALE_PRC1
SALE_PRC1
Double
19
0
0
SALE_YR1
SALE_YR1
Double
19
0
0
SALE_MO1
SALE_MO1
String
2
0
0
OR_BOOK1
OR_BOOK1
String
6
0
0
OR_PAGE1
OR_PAGE1
String
6
0
0
CLERK_NO1
CLERK_NO1
String
20
0
0
S_CHNG_CD1
S_CHNG_CD1
Double
19
0
0
M_PAR_SAL2
M_PAR_SAL2
String
1
0
0
QUAL_CD2
QUAL_CD2
String
2
0
0
VI_CD2
VI_CD2
String
1
0
0
SALE_PRC2
SALE_PRC2
Double
19
0
0
SALE_YR2
SALE_YR2
Double
19
0
0
SALE_MO2
SALE_MO2
String
2
0
0
OR_BOOK2
OR_BOOK2
String
6
0
0
OR_PAGE2
OR_PAGE2
String
6
0
0
CLERK_NO2
CLERK_NO2
String
20
0
0
S_CHNG_CD2
S_CHNG_CD2
Double
19
0
0
OWN_NAME
OWN_NAME
String
33
0
0
OWN_ADDR1
OWN_ADDR1
String
40
0
0
OWN_ADDR2
OWN_ADDR2
String
40
0
0
OWN_CITY
OWN_CITY
String
40
0
0
OWN_STATE
OWN_STATE
String
30
0
0
OWN_ZIPCD
OWN_ZIPCD
Double
19
0
0
OWN_STATE_
OWN_STATE_
String
2
0
0
FIDU_NAME
FIDU_NAME
String
33
0
0
FIDU_ADDR1
FIDU_ADDR1
String
40
0
0
FIDU_ADDR2
FIDU_ADDR2
String
40
0
0
FIDU_CITY
FIDU_CITY
String
40
0
0
FIDU_STATE
FIDU_STATE
String
30
0
0
FIDU_ZIPCD
FIDU_ZIPCD
String
5
0
0
FIDU_CD
FIDU_CD
Double
19
0
0
S_LEGAL
S_LEGAL
String
35
0
0
APP_STAT
APP_STAT
String
1
0
0
CO_APP_STA
CO_APP_STA
String
1
0
0
MKT_AR
MKT_AR
String
3
0
0
NBRHD_CD
NBRHD_CD
String
10
0
0
PUBLIC_LND
PUBLIC_LND
String
1
0
0
TAX_AUTH_C
TAX_AUTH_C
String
5
0
0
TWN
TWN
String
3
0
0
RNG
RNG
String
3
0
0
SEC
SEC
String
3
0
0
CENSUS_BK
CENSUS_BK
String
16
0
0
PHY_ADDR1
PHY_ADDR1
String
40
0
0
PHY_ADDR2
PHY_ADDR2
String
40
0
0
PHY_CITY
PHY_CITY
String
40
0
0
PHY_ZIPCD
PHY_ZIPCD
Double
19
0
0
ALT_KEY
ALT_KEY
String
26
0
0
ASS_TRNSFR
ASS_TRNSFR
String
1
0
0
PREV_HMSTD
PREV_HMSTD
Double
19
0
0
ASS_DIF_TR
ASS_DIF_TR
Double
19
0
0
CONO_PRV_H
CONO_PRV_H
Double
19
0
0
PARCEL_ID_
PARCEL_ID_
String
30
0
0
YR_VAL_TRN
YR_VAL_TRN
Double
19
0
0
SEQ_NO
SEQ_NO
Double
19
0
0
RS_ID
RS_ID
String
4
0
0
MP_ID
MP_ID
String
8
0
0
STATE_PAR_
STATE_PAR_
String
18
0
0
SPC_CIR_CD
SPC_CIR_CD
String
20
0
0
SPC_CIR_YR
SPC_CIR_YR
Double
19
0
0
SPC_CIR_TX
SPC_CIR_TX
String
50
0
0
OID_1
OID_1
Integer
10
10
0
Use_Code
Use_Code
String
254
0
0
Definition
Definition
String
254
0
0
VHB_Desc
VHB_Desc
String
254
0
0
Shape_Leng
Shape_Leng
Double
19
0
0
Shape_Area
Shape_Area
Double
19
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Review
Review
String
254
0
0
ACRES
ACRES
Double
19
0
0
20220119
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2Gyjg
nhZg+4k87JDx+R4qz9ki55k5/wBs8VDplsbeEkyyybsH94+4jHHp/nmrgYHkDj2NSMgNuykmNySe
qvyDUaTJLctG8ew4yCT1PcVPLvwfmQAHOSKjmhjuVDDBYdDTt1JvrYkARy6j15xTvKXBBJOevNUl
jlkdljleJkA4JyM8Dn24/WrUE/m7lOd6Ha3YE+o9qTVhp3HPHH8x8tTnk/LnJprxIwGUXJO4/L3q
Y9KaQT9dtICN4UnhKnjPzZx0PrUcTKZWjdQJFOeep9DViLPlqGxkDBxUc8Rb97GP3qjjnr9fWmHQ
csQDHOTk5oDHzmTyv3fXdjvx/j+lA37Y8gA/xCobcq8ssqAkO2NwPBxQBYaNGDBlBDdQe9RPbxEM
fKQk9iOtT0daQytLbW4QAxquTnI459f5UsNv5YdWleRXPBY5Iqc9PpSADH155p3EAghAIG8Z7A/4
Ypfs0Dk5PJ65BpGYJg/h0pk83lLwMueFFG4WWwl1FFGpiX53k429B+PtSwWUEfztMzydS3TJxjJx
1445oijYHfId0jfeJ7e1OP7tiw+6eo9PemGxJ5CdnHXP3jUcluEdWCHk5Zgxp4PTuKjubwWzsB8z
9due3qakaTeiIbqeCzjDyvtUtncztjOQO31HFQrOLgDy3IQkNuBbJ+mccVN5JumwWZSqh32uR82P
ujHaq3lGOUj5+P7zE/zq4xvoZ1JuK0LK2sXJkDH5sgs5/wA/hTXhiGMIcbsg5P8Aj+lQupuY/LkJ
Cgg8cHI6VSitnVFT7PMFyTkze+amacXYIz5ldF/ykBHyn72ep/z+FWxAmMfPgHON5/z+FY4t/Mlj
V7eUDn5xJ0zk/wAyfyrbRAkSxqWwAFBJyfzqUUhBEqkEF+DkfOetPMSMu5S+Qckbz1/PpUaJMXIJ
O0e3Wpo1kD/dOO+elU1YadyLyl45fg5++f8AGk8pRjl+Dn75/wAatMhLAKmU9TxTSsaHlsn0FAyA
QqeMvyc/fb/GoXePfLGvmmRCCy7mGOn+ParL3G1WKjAHpxTWAcZI684NFhXKRuCxIW3nJLcjzMY/
Xp/n0p7GZo3KwNvDfdaUjIx2/wAKg2sSQV5z0ApyTOu05PHY1l7TuhcxPByw8y0ESqDtIwT+nTPN
JusweIpQPQYApkty7DCgAEYNQkZPb8qUpp7CbLdsSLZRjJGQR+NTp0HX6HtWcLpI1IZXAMjDkdMY
/wAa01wc/NyO9bNFdSO4iMsYAI4NNLLHERFtO3rT5fnBVvu+maotFIC4VG2k+la01zLlbMaj5HzJ
bj1Z533fdYDhh29qsQFCW+RVl6tgdff3qK1V1LBlIBHeppI9+GX5XHQ0qqSnZFUW3C7JqjcgOM8c
0wTlB+9Rlx/EBkU1rmEkESDisjQkyVfgZBPp0qSqxniaQMX4HSn/AGuHnLjHbrTBEm4vcCPGcrkm
k/do7RRRiNVPRRgetNiuLdZC/mjJI69qjaePzi6yrhvvA1WjJ95Fkcjpig1AlxEqnLr17Cl+1Q/8
9BUlk47n2qGV1gIJHcjgUC5jPCvk9hg0x43fL+S7YH8fCj86cbX1Jne3u7ivOqoJDjGOP8KbboZD
578sfu+wqtteV1faSp+VdwwMmtRYWQBdpwOKH5DXmNpM8kelSeW/pQY3PO05qRlK7d7eBjH0yOf7
ozz+maypGYvJEXJaXAUkknkYP5VvvG+DleB1zWbb2hR5LrAZUOyPtnJ7+wzQ1cuE+RNFmWJxY+Si
7iSCwz1NUmkltmSEmSPfkqDhhx145A61ctb1budoo9rFQSdpPGDjuBSXNpJLqFsTEzRhHDen8OAf
ypNMcJpaNaDrNvPgBnhCt0LIcA/QGrBihY5zJ+lPETAYCYFL5bn+Gm0n0MrIjEUKnIVm9iakMrAc
ADjsKQxOf4aPKkAGFotYBwZm6uQAOTQZeCA7ZPc9qRI3Ctleq0gjcD7lMY6OTJK5J3DvVSRZCSyI
Aw/iz1FNu7mSyKN5LPk54yT1A7fWls7l7uPzWheMHnDAgjkj+lOLa1JlHmVh0caMA5JY9Tk96Z9r
UyAYJHrUyxIrsw5LdfSmfZYxIHBwAc7a0Tg2+YzamkuUlKgkHuKpXJR2G0c5+YYq96+lZ0qyPKzb
Oh9K5Z7GkiMYzgUuKVRuIx3pWXbjkfhWJJbh+9MPVs1KiBBgd+STUMZKXDKw++AwxViut3sXo2Ry
7QpLjjvTweCAcHsahnIwFYMQT0UdfaozdouAYpRngfL1xRpYNb+ROgJ3fPu59uKkQZbnpVSOdCry
LDKG25KlMc+n1qzbyecCwRl6jDDHah7gttSQt06AdAKhkxtPHXinHlh7U2QEAHsCCaQPYU7I4yWA
CqMnjtQCpQOgyCOPeor4gWjggHOBySO/tzU6qAoA6DpTGOQDzF4HWg47KBSrwS3pUYJJPPA4oEIT
ycpwO/FKqgZOOtJyVO39adxjOfxoAY6qQxYBsc1Qe5RQTI8i224A4yakkuDKRCm4jue5pWWf7O8W
Y0BXHGdwo2Ajj1SwUKyyOcDjcp+X9MUo12xZdzSODjOChz3/AMDVY210TxeMo9MZHf8Axp/2e63Z
N2xGem0dPSlzRFc1LaeOeFZo8lW6ZGDRJIkR3McDsKqhpyoXzfbgdasRW6KNzDcwHJJzRdMdyPDX
PJysXXHdqeUUvtA+Ujp9MVKGDDIORUW9XlwpzgHJpq72E2gitIoSXjQBj3zk/rUtAPBoP60ihucE
DoKfUaZLscnjjB6VIaBIQjIpQCQAOfpSenpUiH86BjFGN+fSoljcSFvMJU54qw2QXPU4xUfNNOwm
kyrPLGGw0auR69qSG7WLpGE/3akngMmCuMiqbIytgg5rqpQpyj5nJVnVjLyNQOk0fmR9vvDpSAjo
KisYzGcsMbuMe1S7SG47VzTSUrI6abbinIdUb8LkAk9OKftJzTW/GpKZQThxTPwzUgXaTuI4z3qP
p3rlILssTOqsDh15FPilEi56EdR6U/PFV5h5UnmjoTh/pXXfoXYmbjgdzSnG3p0FDYJzQRhTnj3J
xRfSwW1uMlZ1GUG7mpVJz6cH+VMDhmGHB56ZNSKOT6kH+VF9A6kQx0HOOvrTjyDnBGOlNHyk5x9a
UAgD5icnuaAGYV4isg+U9cmi2SSOLbI4fB+U+3btSuQGwTgGpAcYBxmgEPfjCjt1qNsfdzye1SOM
Offmm45pANCbcBeB3qneTnHkx9T1x/Kprmfy12g/Mf0pltbYPmP1/hHp7/WmAkUItoMnmVu/pUsS
ArlhnNMnZUYAkKqnkmpmdRn5hnODz39Km19RLVimJCRxj6U3yVHUGn5Cjk4z0oWVXJw2SDT5b6j0
vYjZNvKDmmb2fgsfoBU/UZFNTblmXGO9LlERE7RgZUjtSQkl8sxIwep6VNtGAScnsSaa4VHyeART
immJrqSAjOc8EdaR2wRxnNBHyhc4+lKM8jOePWmUAIVsdM9BTqjyGkxkbh1FLjLEhj9M0Bcd9KUf
ePpTc4UE/nQGBTIbAPQ0guRySut3Cm4BHzkbScn64wPzqfj07elVJgY5YZclsNg/Q/8A6qsBgccZ
B7igYpxx/hRijufpR1zmgBY8eavHeq/2w+eUKqFDYyOtSMxVN8eGbIAHvmqFrdQXd+6qF3D5iAW4
OfQgVpBxV+YzqKTtys0k9duD70yYmOJ5FClgpI3HAp0vmIV2gEGq8KPKZFn+ZSMFT0NTyXi3cHOz
5bGbJczliREhyez+tRyXMy7fliUkZIMo9am+x24YkRLTWtLYnLRLmuLUl3NtRx6YqO4OYZPpT0G0
Hcc0ybmF/pXWalVpBFbb2ViBg/KMk1Wj1JN2fLlwVyQU6fX8qvw58tOw5OfSqsmnF5GYzSgNzgOA
DxUEjH1GMSMrRSAqSBtTOcd+P89Kt6fcC4BdN+3BGGGKqSWGW3G4mT5wdqtjJzmr1uP3xOeqkY/C
hWuHUnPP1FNIDgZHShcsx4x6GjoW5wT71ZQ1gfMUjhTweOtOyd4AU7fWkUEYGeV45qVANwHbNMSF
k+9j0AFRSyrEhY/gPWobqWTzwgfyl3/M5x0wcdR64H41Fbg3MiyO7suwNscAFSc8HA602rbjTT2K
/wBqijuWadJGcLvAVcjGCf8A2X+VascisiuAcMM81H8q5jTgbixyc9TmnK67iv8AFSswuiG6t0ul
EbAjkEMO2Kzk8O2QUBjNkHP+sznp/gK2scYpg+bnjFIDMGgWQk3bpiduBl88YA/oKs2NlBYo0cSu
FJJ3O2cmrTkrwBk5xjNBIDBSetMTAKFUhRSfdjz95qXBL7s8elAyzH0HQ0AMfDKucg5GRSlfmU5P
40jEMMg87h3p4yickk0+gt2BYhwAp29yKAqhtw5zSZ2qC3Ge1BGcbTwPQ0hiqPvbvy9KQHeuHBGT
xmlJO4ADI780bhuwTyKAEIwmFGMd/ShiVUbRknHSlUYLEk4PNCEnkjH40AIyJJ94bh0INQZNmQuG
aJ2wMf8ALMY7+vNWXGVIzgml2hk2sMgjvQMQnHXp60mMA8Z9KdHEixCNFxtHAz1qMb2lyVKgD14N
CQm7DyoZMMAQRyKI4kCnaoDr3xzjvSnAFEbAPkdfSkUBOMHtSgAUMmwkAkgnIoGcc9fagCobXGTv
/SmwxRumWbBzVxhuGPXis4SMmQuMZ9KjkjciTUS85wu4cHpzTZBiBuADjmnAh14IOKSVS6kA84OB
6mtBkcZJhQZOO/0qURqQMgEnqar+SZrdGjl2HHXGe1SCKfnNyegx8o4qUu40gY43Ieg6GiJCJUPo
wpjW8xjC/afmzySvXjH8+anRAzJk5xjn6UuUVh+0ByffrTC22ToTmpPvHP6UwnLE+gqigTALseAT
nJ+lOR1Zd4bj1qMKJoyScqT09KgC7v3EZO0HLt/SqsreZCbv5Dzm9mxyIV9e9WVVR91QFAIHbikR
AqBQMCndB160iyIgJvIXknnBoJG0N0PuacOvHINBUkc9ulFybdhE3hMNgt604Dr60HjHOKazbVyc
DFD1GtEOKgjnmkHB+nal5znPFNHDEgk+1IBFO5TkEYPc0JkjcQvsRSkguUzye1IR8mM4HqOKYhHO
FXjPI6UrkjG3GW45PWkfgKCSQCOTTgQ4DAg80+iF1YuMYGAB6U3eNxBBA9SaUjL53HjtSMy4AbA3
cYpDI45lklKAAgdKnAznJ/Kq0UBiuGwPlI4NWUXauMk9+auain7pNNya94a3Az6epoQYAJABPUjv
T6awyMdKzLsKfWlAxQOlFAw70rjnOOvNJ3px5jHscUAR/jSM20fdJOelLz6Uo696AHEmSIhfvL0z
TAcHilJC4KnmneYGOSin9KAGgis1iCflXA+ua02cBSRGvAzzmqYuVUYEEX5ZrOfQmRb2gA46Gm7d
qYHJ96U7gMLyfekZgpAJHJ71oMijBhm2N9x+nsfSpuM96HjWRCrHg/pVWONpTIJJpA6nkKcdsZoG
WmYZxinR9Txjg1TaKK3DGS4ZVf5fnbpxjin2TQhXihnMrY3Hc2SARx/KjQROGznFR/MJQoHBGT7U
4FY0JB96bJLsA28u/AAoAZK7BvKi+8ep9B605UeMqsePL6k9zSQqg3IW3SHlj609WAbYT83NVqt0
To9mS5OOtRnmQNyfpSqCC2ST3pFHJcjb+PWkUL8wYnAxT938PqKjGHQhDj6UoYBgpByR1x1osK4r
dOP1oAPAb9M0PyMn15pCpLhgxxQMVjkYGffFGDuB6Cm43SdOB0OacHDMVB5FAAeDnn8KRR85PJz+
VKTwTTAAkeW49RmgBGBwucfeHSnnoVGfrTH5VNp43dqc43FVxkd+cU3siVuwwdgAHPvSkZ65yPTN
GV3hc5NAVgxJY4pDEPLg4PHYUsoYxsE+92pFHzMxGPfPWlRgw+U96E7O4bqw8cACkbocUtMcqo+Y
/hSGOH3RmmvyMc/hxTx0qNhukHHTvmmDHHdkY/HNPQ5DD2qMFfMI/ixUinDA0AR+owT707+lGwRs
wGaikdkeNRj5ic0JXdkJuyuxFztcEEYYjNDKfszqMj5Tyf8A61Sn7x4qOckQv0+6ep46UN3Y0rIh
TzGtkBDHC8sDjNV9rHkA/lT8MkUOG+UoPung01ZGAwCQPrXPNrm1JZeilV1O10Y9flOacp3cgcZ7
8Uw2tu5WTy13A5BHHvQkQR9wZiCfu9uTXQUTP0xUEyEFZE++o5HqKlbqB700tznOMHBpDI2ijuQG
YB4yAQjAEAjPP15/SnwW8ULM0aKrEAEj0A4qPcLefniN/wBDU7SLGMkgDB/lRYBkjiIbjz2ApscT
AGR8GRh+XtTIcyyGVhwvCirR5FAiCONYo9xGT34qTqM44PQ0jEjtn6DpS4DYB+YetU23qyUktENb
cpXGCM9+tLuAfbjDHmpDwKjbBPGQQc5x19qQxw9xgimqCd4IGPpSfKAznj607IIyCCPQCgADbhkD
gHFDA7DgAn3oU/L3Pt6UFl8wDIzigYFgoDHr04FGR0yPzpOdwByeeoHSmoiFQSo6dcU0kS27jt37
3+HGOvek3rkqCMjn0FChGX5dvX+7SoFY8rj2Io0DUbIQxXBBO7pTl/1eWA49BSttUZOBz1xSOSO2
4egFDdwtbUeh3DPY0tNB6YJPvTqkpDCQGx3b2pR2yMEU3Pz45GO/rQdoyzcfWmIVdxLBsY7UK277
o6cY6UZyoKkEY6Y60JyM8/Q9qAFzgEjml4ODimllDgEgGjcVIzyCeoHSgY49KTLbwP4cUuFbBxn0
obOODj8KAE8wSOQoOV4JIIGaCuWUkZ/CoAT9t5BwyYHXtUqFiz7gBg4X3osF0OPTPFNIWRMFQVYc
ginNwvAz7ULyvXNIZDPGPIwAAF6Adqplc84z+FXLmRTGV3AnP5Uy2x5ZyueeuKyklKWjIerLKk49
qRj6djSooXI455qMRbZWbnk5zW2g9SUEMPaokcSbzgjadpB7+9PC7jgjgHNVwPL1CTr+8QHp3HFI
odcKHjUE8Fhz6VDFA0pyNpVcgE9/wolzPKsSAsF5J7VchRYk2r2BNMQ0IUTap5Pc+tSA8c9RTRyz
LkewFAORggjPr3pABG5lbkj2p3fNMI2x4XAI/SlBOFPU98UwFJw2PWkUbQeufenEZ7UEqD1pAMEZ
wd3BPPymoJLGN3aQ7w54JDYJxj/CrO47iMHA70pp3aFyplMpPbxKsf70DJIY8mpYJ1uFLhHUqcEM
MVIM7SScsD2pCodcEYJp3FbsOAxJu559+KIgRGMjnFNySgxgEcE08HBwATnvS8hre4mOCo796VBt
UDB/Gl9xSKeSDj2oGKRkU1huKnB4PQU4nFI2cHGM0AxDuLgjG0U+mKMgEnJ746U+gENAwWIB5pFB
xh8cntTiCcYP1pucMRg4HegB+MCkB6UZ4+tMXODk5I9KAFOPvelG3593P58Un3l2kYz60NkIMYGO
9AhwLZJONvalJz8vqKaTgjAJz6UYBYN6cUDK1x+7ktWzz5uOe+atiq0xZrqKNZGXnewBxwP55qwO
CM0mCHAAdaYp+bqMU7PPQmoFVhK7lfYCgGQPDIGJ2GkiYIpB3ZznhsVdPzLjH4GqEgAkYAcA1k1y
O6JaNAnb82PyFK/K/jSD7vofem7jmtSxAx80gYxUNwomkCKB5g539NtPkkKnYn+sY8e1SRRCNMdS
fvH1oEV7RygNtKAJRzkDhh61cBABB7L1pqbVzjr/ADpMlmkG0/doYCLKo5J4qNgxOd3zDn2pPLYN
8ynA5OaJT/CO55qG+4hd4Zgv3WJ7Cp8nuKgiGZAR0UYz61OeBVJ3Q0ICd5HajB3ZH5UHKlep5wcU
4kAEnoKYDCGCkLgk+tIxwgLcH2GaVJBIMqDj1IpTznjp0NPZ2Yt1dCYO0AnP9aCW8wDAxighWwTy
BTj04/CgZEow+xTjb7dakH3j3NNB2sSeM80BQDxwxoYkOjLbTux17UvJPHSk3HfjBxjr2pOMYOfc
UhhIWA4A696CmeR8p9QKUMpBCnO3qBSqcqMgj609g3FophA3cn6U+kMQ+1IcgEgc06m554P1oEMJ
/d7mAz6gZp4X5ANxPvSDksCpGOhpynPfNMELUZA8wAHB68DrT3JCkgEn2oHTOMZ60AJg7s9aRFZ8
hlU1KF4yeBUT3CK5iwQMZJppN7CbS3H5XYFU5x1PrTTz1pFZSMg5HWlyD0waljTDOBlhQc5GfWgH
K5wRj1pp2khj+BpgHzGQggYxWfIR5r4OBnsKu3EhjhyOW6DFJFFtjGc5PPaokubQl6k5GfSqcl00
cpRbfIMgjVt4G5iM45P+cVYkIiiOT0/GoUtxKxlmBG4D5AxAx71RQ+1U7BK3+skGTz09qsVGEUMC
MADjg9KkzzjvQAxvlO7OOMVSkF5I5a3uFjUJyrpuyfX+VT3aszJg9KWMfI59FpS0s0yOZ8zVjHN7
Nvy16u4gYURc9yP6flU0ZublfNW8Vo/MOAI+cA9Mn8avpFnnbwOaCAEJOMn36VN9Nhk6IPKx2PNP
Ybh1x9KavCIOOlPxgdKtFCYyOabKxWMkdeg4zT6QnFNbg9iO3J8vaQcrwakNQzhy6hUJCsDkGp6q
ffuTD+XsR/6tGwB7c9TSRO7rl1A69KoWz3Ed+VlkLKzsu054B5U9fTH51qEZH41KatYuUGmtSJgr
YUjB7ZNLk+YAW6enej+M5xt9KXazqeNqnjLHFBIoxjcaY0kcPzuyqDxljipFCKo2jefU/wCFMl3y
IMMoIJ5HHYjgj60DGwvEykw7WHcqwNS7sckEVHboUTEjMzYAyWJP45qbAzw/4EUPUFZbEZ+bgNj6
UvI9TRKBGjyOPkUFiy88D6VV/tKzDEfbIeDgguODzx+h/KkBa6nJ49jQB8xOT9KrNqVkmQ11CCOo
3j3/AMD+VOW+tHkWNLiIyHogYZ6ZHFAE/A5H50qqFHHemkfJhePr2pd2AO/0pgOpU+7uI74ANJSn
/Vrz3NAxpLFskmq72zsxYSfN7irNFOM3HYiUFJWZHEhjXkrnqcDFLgjJ3E59accdaRgHGD60m7u7
GlZWQY6jBwaAvygDjHpTqKQ7DJEDqysMgioA86AKQpxxnNTk85pgkQjnik7A0MV5LiXzWXKIfkVj
196sGQnI8odeMNimnIUFePQGjJwM4B784qgFYEqdqkc/3v8A61BY5OEHXjLdvypScAAd6rG4KuVa
MnBpxi5bEymo7iMLtlO6KIkdMMaUC6XcFjjGR1Lnj9Kcbkg4MbZqwMH5mGARQ4NasIyjLYroLsAj
EZwCfvEen/1/0qAw3Lg4aMEjrzkH1qy92InZdpJxTgNyg9utJwaSbQ1KLdkMiNxFHhyrfMcEHnb+
VSGVkAJGMnH3qcM84/Wkx0wOB70hh5nT92evY0bv+mbdf7wpAxbIwR70q5IOcEfWmABweiMcHHUV
j6lr7afcmFrF3HZ1k7ev3a2QeM/y5qhqkJe3MqYBAwxx/D6/h/jSZcLN2YQomopb32HiYgEqeeh/
/X+dXwy+jVBbRtHaxK/3goBFWEA+8eg/WgTEO1FDbSznoD2pGfLgMwOfekZmLnoe5HelBG4+w6Zp
kjekgOflPbtmlBJYj070g+ZDkEc96jSZVZY2Zd7Z289QKBXJVdW5BH504nAJ9KYThRgE/SlYkDAx
k+tA7iSFWiIdQVYYIbuDVeSytxFI0NpbGUgspZAQWwQCfzqzxwOntmgH5iMNQBkR6dI14EuLCze3
Y/M5RdwGDnPbOT+prUWws45PNjgiR8D5tgB46cipQ2eh5HWgnA6E/SkMPLbnHT25pPmHUZPsaTcd
obkY9al3njPP15piI949DTRcq0ph2kFRuz9alUqyglcZ9DUESq15OVd+AB833fwoGS5HvSEjIOak
2HPY/jSbSPQfU0gI9wPRh9c0oOeeM/Wn7RnmQfrRtAGd5P0FACZyOOayn160V1RhLvYFgqpk4Bx2
6fQ81rjyz2Y8d6TcnaL8zQBjJ4i0+SZkVpTjb83lnBy23+f86mtrqO8gE6RuqsWGG4PBI/pWmHVR
hY0UZ7Cl8yTt+gpNXE1cRlz05WmYP1IoopjBiAA2eB71HLGxG6M/NRRVRdncmS5tGOiV1Ql2yxp/
bA5+lFFJu+o0raETQIz7yDn61IRkc9KKKG29wUUthrlVcFiA3oTTs4zzkAdKKKclZJkxd20IuM8d
adxjA7UUVJQdOvfrTSC4zjK9hiiigYkeWfyyQXHtjjtUrYOAOg6UUUAR4Abd3IpACpJyTntRRTEL
8u4pnr2qvdW3nRDyzslU5Rh2ooovYTVx0E2/MMhzIq5J9fXHepvlcK3B54ooptCi7gQS27cRjtQW
AIJ4J4oopDAALux1oAIwCd2fWiigYDa2UzwD0p5oooBCJ9wfSoLQfI74Yb3LfMefT+lFFAyxR2xR
RSAaAD3px5z70UUAImGOfQEUvbAoooEhpppPqR+NFFAM/9k=