20160804
07540600
1.0
FALSE
CAMS_ZIPCODE_PARCEL_SPECIFIC
002
6275487.790112
6668480.769873
1384146.140123
2122084.599938
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_V_FIPS_0405_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/10.3'><WKT>PROJCS["NAD_1983_StatePlane_California_V_FIPS_0405_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["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-118.0],PARAMETER["Standard_Parallel_1",34.03333333333333],PARAMETER["Standard_Parallel_2",35.46666666666667],PARAMETER["Latitude_Of_Origin",33.5],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2229]]</WKT><XOrigin>-117608900</XOrigin><YOrigin>-91881400</YOrigin><XYScale>3048.0060960121914</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333335</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102645</WKID><LatestWKID>2229</LatestWKID></ProjectedCoordinateSystem>
20160804
07522300
20160804
07522300
150000000
5000
ItemDescription
Esri ArcGIS 10.3.0.4322
ZIP Code Boundaries (Parcel Accurate)
1
-118.953520
-117.644096
34.823532
32.792286
ZIP Code Boundaries that are accurate to parcels
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>US Postal Service ZIP Code boundaries. For more information, </SPAN><A href="http://egis3.lacounty.gov/dataportal/2011/01/24/zip-codes-with-parcel-specific-boundaries/"><SPAN>click here.</SPAN></A></P><P><SPAN>This layer shows parcel-based postal ZIP Code boundaries encompassing all of Los Angeles County. Sources: United States Postal Service, County of Los Angeles Office of the Assessor, County of Los Angeles Registrar-Recorder / County Clerk (RRCC) Countywide Address Management System (CAMS), Thomas Bros. Maps, U.S. Census Bureau TIGER line data, LAR-IAC digital orthographic and oblique aerial imagery, and Google Maps / Street View. Created: 2010 (created using this sources by the Los Angeles County Regional Planning, GIS Section).</SPAN></P><P><SPAN STYLE="font-weight:bold;">UPDATE HISTORY:</SPAN></P><UL><LI><P><SPAN STYLE="font-weight:bold;">7/1/2015 - changed two parcels parcels with the wrong ZIP Code</SPAN></P></LI><LI><P><SPAN STYLE="font-weight:bold;">4/20/2016 - Update between 90059 & 90262 @ Mona Blvd. (Lynwood Sheriff Station)</SPAN></P></LI><LI><P><SPAN STYLE="font-weight:bold;">6/23/2016 - Update between 90058, 90040 & 90201 @ E 52nd Dr. (90201 is now a single polygon)</SPAN></P></LI><LI><P><SPAN STYLE="font-weight:bold;">7/7/2016 - Update between 90044 & 90003 @ W. 70th St.</SPAN></P></LI><LI><P><SPAN STYLE="font-weight:bold;">7/7/2016 - Update between 90011 & 90058 on Long Beach Ave.</SPAN></P></LI><LI><P><SPAN STYLE="font-weight:bold;">7/7/2016 - Update to 90704 for both Catalina & San Clemente Islands. Area modified to mirror existing </SPAN></P></LI></UL><P><SPAN STYLE="font-weight:bold;">Legal vs. Postal Cities</SPAN></P><P><SPAN>Many users confuse the name the Post Office delivers to (e.g. Van Nuys, Hollywood) as a legal city (in this case Los Angeles), when they are, in fact, a postal city. The County contains 88 legal cities, and over 400 postal names that are tied to the ZIP Codes. To support useability and geocoding, we have attached the first 3 postal cities to each address, based upon its ZIP Code.</SPAN></P><P><SPAN>For a full list of zipcode to postal city correlations, see this file: </SPAN><A href="http://egis3.lacounty.gov/dataportal/wp-content/uploads/2012/06/zipcodexxpostalcities-201406.xlsx"><SPAN>zipcodexxpostalcities (201406) – Excel file</SPAN></A></P></DIV></DIV></DIV>
CAMS, USPS
405LA
Feature Class
dataset
EPSG
8.2.6
311
Simple
FALSE
311
TRUE
FALSE
CAMS_ZIPCODE_PARCEL_SPECIFIC
Feature Class
311
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
ZIPCODE
ZIPCODE
String
10
0
0
Shape
Shape
Geometry
4
0
0
Feature geometry.
ESRI
Coordinates defining the features.
Shape.area
Shape.area
Double
0
0
0
Shape.len
Shape.len
Double
0
0
0
20160804
/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK
CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU
FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAD9ASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9G/BP
gnw7P4M0CSTQNLkkfT7dmdrOMliY1JJO3rW1/wAIH4a/6F3Sf/AKL/4mjwH/AMiP4e/7B1v/AOil
rdoAwv8AhA/DX/Qu6T/4BRf/ABNH/CCeGv8AoXdJ/wDAGL/4mt2igDC/4QPw1/0Lulf+AMX/AMTR
/wAIH4a/6F7Sf/AKL/4mt2igDC/4QPw1/wBC9pX/AIBRf/E0f8IH4a/6F3Sf/AKL/wCJrdooA4W8
0nw7Y3uowSeD9OYW8YkgMVisjTkrnGFjO3n5QSecHHQ4u/8ACF2H/QoeHfyX/wCMVuah/ouoWV10
VmNtKe2G5Un33gKP981emmS3hkllcRxxqWdm6AAZJNAHHXHhXTrea1jPg/w8TcSGNSAvBCM2T+49
FP51N/whVh/0KHh38l/+MVY0nULbWfEE880rxSQt5VpbSGRAdofdIoOFcsr/AMIO0AZPYXv+Emt/
s73At7r7KhObjy/kwDywOeR70AZP/CF2H/QoeHfyX/4xR/whdh/0KHh38l/+MV1F1dQWMDTXM0dv
CpAMkrBVGSAOT6kgfjWTofiCbVtSuoXthBbrDFcW7M3zujlwGZe2dmQPQ84PFAGb/wAIXYf9Ch4d
/wC+V/8AjFH/AAhen9vB/h8f7yp/8ZrrqKAOR/4Quw/6FDw7+S//ABij/hC7D/oUPDv5L/8AGK63
mloA5H/hC7D/AKFDw7+S/wDxij/hC7D/AKFDw7/3yv8A8YrrqKAPPNU0vStLmET+DNAdjLbxfKF6
zSFAf9R2Iyf8a1f+ELsP+hQ8O/kv/wAYpPFEck01+8eQto+n3UowwLRxTmR9u1hn5VPqDjBB6Vu/
2w3X+z73/v2v/wAVQBh/8IXYf9Ch4d/75X/4xR/whVh/0KHh38l/+MVsW39s3UZlaS1s9zvthkti
7qu4hclZcZK4P41L5Grf8/tl/wCAb/8Ax2gDC/4Qqw/6FDw7+S//ABij/hCrD/oUPDv5L/8AGK3f
I1b/AJ/bL/wDf/47UNrqt+1rCbjRrpZyi+YqPDtDY5x+86ZoA5/U/Cen2Wm3dz/winh6MQRPLkQL
LnapONvlL1xjr+fSrP8AwgNhH839h+HZ8f8ALP8As1Y8/wDAvmx+RrR1m4vNQ0e/tU0i63zwSRLv
aDGWUjn9505rZgVlhjDLtYKMrnOOPXvQByR8KaTDeWcVx4R0FI7iUx74o0YrhHfODEM/cx171qf8
IH4a/wChd0r/AMAov/iauap/x/aR/wBfTf8AoiWtCgDD/wCED8Nf9C9pP/gDF/8AE0f8IH4a/wCh
d0r/AMAov/ia3KKAMP8A4QPw1/0Luk/+AUX/AMTR/wAIH4a/6F3Sv/AKL/4mt2koAw/+ED8Nf9C7
pX/gFF/8TR/wgfhr/oXdJ/8AAKL/AOJrdpKAMP8A4QPw1/0Lulf+AUX/AMTXz5+0H4d0rTvGdlHa
6ZZ20Z09GKQ26ICfMkGcAdeB+VfT9fOP7R//ACPFj/2Do/8A0bLQB7l4D/5Efw9/2Drf/wBFLW5W
F4D/AORH8O/9g63/APRS1u0ALSUZooAX8KKSigBaSlpKAIb21W+tJbdyyrIpXcvVT2I9x1H0qLTr
g6hpqNOimQgxzJjK7wSrj3GQRVus6D/Q9Ynh6R3KCdP98YVx7DGw/UsaAKNloOmHVdSX+zrXbiJd
vkLjABPTHqTW4tvEsAgEaiELsEYUbduMYx6Y7VmwyNa+JJoXQeXdwebG4bnKEKykf8DUgjPfpgZv
Xt4tjbmV1Z/mVAqYyzMwVQMkDkkdTQBUt/Dmm200MkVokfkjEUa58qPpyqZ2g8DkDPXnk1JqOkpq
E1tMJJLa4t3LJNCqF8FSpXLKeDuz9QKYdYljwZdLvYk6F8Rvj8Ect+QqO48QRx28rQ2t5LOqExxG
0mUM2OBu2YGT3oAjsrrVbdZYZrKa6aORwtw8kS+Yu4lSAv8As4ByByDx3pt34ph0iaBdWjOmRTts
juJXBi34ztZhwpIBxng49aiubGa1tY7me4mN415ET5dzJ5YVp1G0LnGAp29K2r61W+sbi2ZmRZo2
jLLjIBGMjIIzz3BoAmo/CuH1TSNfFrpsup38N1Dpky3cjWha2eXYDgPklWHcjjPoCAa1dL8f6VqS
KSZrc4UsZIi0abjhd0qboxk9i2fUCgDo/wAKKKKAOb11mMfiXy9pkGmKBuzjO2bGa6Rfuj6Vzurp
JM3iNAyxltOVUcgsBkS8kDnr2FW7PxNaXFtE+24Z2jRmEVrK4UsisBlVIzhh370Aa/4UfhWUviay
kjLol5IoYodthOeQ20j7nYg/lTpPElnG0ast4rSNtQfYZ+TgnA+T0BP4UAadH4VnW/iCyudQSzDT
R3LoZEjngki3qCAxUsozjIyB0yK0aAD8KWko3DOM80AZ2qf8f2kf9fTf+iJa0qzdUYfbtIGeftTf
+iJa0aACj8KKXNACUUUfWgA/Cl/CiigBK+cf2j/+R4sf+wdH/wCjZa+jq+cf2jv+R4sf+wdH/wCj
ZaAPcvAf/Ij+Hf8AsHW//opa3awvAn/Ij+Hf+wdb/wDopa3aACjiiigBOKXiiigAo4oooAKx/FOm
x6hpqNInmLazJcmPAO9VPzKQeuVLDHvWxRQBmL4e0aVUddMsWUjcrC3T06jinp4f0uKRXTTbNHVg
yssCAqQcgjjg5pNF/wBHilsTw1q+1B/0yPMZHsB8ufVGrRoAOKzdS8QafpUdwZrmIzQoX+zLIglb
jIUKSOT2+tWbzUIdPRGmL/vG2KscbSMTgnACgnoD+VVPDdh9h0mAv532mZElnM8jO5k2KpyWJI+6
Bj2oAr3VnceIJhFcR3NhYpskaMtFmZlcMASCxC/KOhB5q3/wjmk/9Auz/wDAdP8ACtGigDmbzwqt
o91d6fZ6dJKD50MMtkpYOEChVfcoXOPwLGrlnqy6hnT9WsVsbiaL5rWaWOVJVYkFVIPzcDkEDrW1
UN1ZwX8JhuYY54iQSkihlyCCDg+hAP4UAVP+Ec0n/oF2X/gOn+FQQaDJpc0p0ueO1t5OWt5o3lRW
yxJQbxtB3dBxwKjXRbzSZY3027lmt92GsryfMYXaR8r7GcEHbxnGM1f0u+k1CGRpIlieOVoiEcup
KnBIJAzzx06g0AVbfwrpccI+0WFpd3DKBNcSW6FpW7k5B6kk496TwlY21j4b05ba3it1e3idhEgU
M2xRk474A/KtG+uHtbOeaONp3jjZ1jXq5AyAPc1Bocaw6Lp8ayJMq28aiSM5VgFHI9jQAzQv+PGX
/r6uf/R70zVt39oaLtC7ftbbs9f9RL0p+g/8eMv/AF9XP/o96z9ea9utc0uzsLq1tpI0mu2a4t2m
+6FjAwrpgHzW7/w+xoAu6h58OrWlzFaS3UawyxsIWQEFmjI+8w/umn/2pcf9Ae8/77g/+OVX+33u
m6haxahNBJbXAZBLDbPGFlyuxSS7AbgWxnGSAM5IBZr3iNdPuodNttkmq3KboVkz5aDcF3ufTLDA
HLHgeoAHza1fxyYTw/eyIRwwmtxzkDnMnA5zkZ6HjpmpaeHINVuNRudX0q3Y3MyNHHOqyMqoiAZP
I+8rEY7Yz6CWO68Q2NjPNeW2n3jxq0gW0kkjJAB+UAq2Sceo647ZN+11yzu5lhSSRZHJVRLC8e4g
EkDcBngE/QUAZ0/h3StN1TSZrTTLO1m+1sTJDbojcwTZ5A9z+ZroKzNYkWG40mR+EW7ALYJALRyI
ufTLMo+pFadAB6UtJS0AJRS0lAC8UnFLRQAnFfOP7R//ACPFj/2Do/8A0bLX0fXzh+0f/wAjxY/9
g5P/AEbLQB7l4E/5Efw7/wBg63/9FLW7WF4E/wCRH8Pf9g63/wDRS1u0AFFFFABSUtFABRRRQAUU
UUAZt6v2TVLO6BwkubaX05yUJ+jfKP8ArpWlUF9aLfWcsDEqJFxuXqp7Ee4OD+FR6XeG/wBPimba
JeUlVeiyKSrj8GBH4UAPvLCHUI0WUP8AI29WjkZGBwRkFSD0J/OsfSvEscOi28moRX1vNHCPPae0
l4Kj5mJCkY4z16dcVpyazYw6pHpr3kKahJE06WzOA7Rg4LAdwCawPFF3ca1eW+jaVcQM5R7m5WRS
0ciIwUQs6n5dzHB4b5VYY5oA6yisGz8YWl3DuNrqMUikpJGdPnbYwyGXcqEHBBGQSPTrTx4qtruF
/wCzY5r+5V/KNuImjMb5HEpZR5eAd3zc45AOQCAbdFYVv4st7qG3EVvPNey7wbOEBnTY5RyzZCqA
wIySM4OMnitLSdSh1rToL23JMMy7l3Yz1x24PI6gkHsTQBFqGvWOlTxQ3ErCWUFljjjeRiB3woOO
vesTQdEmv9Fjnu576y1CRpXPlzyRqjtIx3LGcAqeoDrnBGRnNX5Lo6XrlxPdW8ohungtorhXUoBz
tBXdkEu7DhT1GTjpuUAc+dSn0KFYtenhubRo8NqSw+VEOxEoLELkY+bhck8DjMvglQvhXTlDA7I9
hQAgQkEgxYJJGw/JySfl5pPEV19utbrSbVrk3dxbPmSyMe+BT8oY72ABJzj12nHSrnh+wGmaFp9p
9nitDDAiGCEAJGQoyBjtnNAGfotqNT8LXEDyF/tT3Qdum0vLJlQR2UkgHuADU3hQWU2kw3NrawW0
0iiO5EMYQiRMhkbAGSrbhyPWl03/AJFRPX7M38jVjw99kbQ7P7EYTb+WMfZ8bM45xjjrmgChqGnz
6zrV9Zy3kkNgtrbukcITd5heUlsspwRsQgjkEVgeINOu/EUl34ev7R7s+el7YXV46KmIjEd2IwPu
uehAPPp06C/1JdI125llSUxnTWnxGmQ4hclhu4CsPNXAJG7ccfdNUG17PjSI3Sf2dYw2MqCS9cRF
5WeI4UE/MAF5YdCPegDraqalYNffZmSdreSCXzVZVDZ+RlwQfZjUkF/bXUXmQ3EMycfNHIGHIyOR
7EfnU9AGDrGn3CW0DvqdzIBd2xMeyIIf36cfcz+tb1Z+vD/QYv8Ar6tv/R6VoYoAWijFGKAEpaMU
mKAFooxRQAV84ftH/wDI8WP/AGDk/wDRstfR2K+cf2kP+R4sf+wdH/6NloA9y8CZ/wCEH8O/9g63
/wDRS1u81heBP+RH8Pf9g63/APRS1u0AHNHNFFACc0vNFFABzRRRQAnNLzRRQAc1z2oa1YeEbu7m
1O9hsrG62zJJM+AJBhHUfX5CAOpLmuhrI8T2Md5pnmSRmQ2si3KhSQ3yHJ2453bc498HtQBz2reH
7rxjqUouLKJdFuRHFNHqFqr+ZCu8napfKM29lyyZCnsRU9tZ6Dq109vpFnBYXMEgmhv4bVUR3jlx
IqkYZgCNr4wCJMZOTizfWWoSXenWFtq1y0EymaWd3jB8uNo8qNqBiXDY3bhjk89C3VpIdNvLGDSh
svbRwJEW1ln/AHMxwxYggZLgOWJz8jepoAzbrUNS0nwnFfSzSRrcXbPeyWdsrSwK8m3aiFjyCRk/
P0YgHjFrT76ye8/snw1fwtNMXvby6kla5cKNqg/MfmLEBQc4AQ+gq9ZeGbPQLX7VeXNzc/Z2e4bd
LKYgxZm3CLc3Iz78jPXmq+rTakjW2rSWL2ktrDJIzW8yzL5ZXLxyoxjzyFYFSSCnXBIYAtSW9p4X
0uHTdPgkFxMiwxmFCZG5VDK7qjYI3AlmHqa0PDunz6TotpZ3EiyzQpsaRed5yfmJwMsepOBkknAr
noLy416a/Izd3Gl3UKxXViHt0lRjHI6DMhD4UAHnBPGBjnZtdSv9YkkktFWytU+QNeW5ZmkDMrjA
kGACo69eccUAUvsqXXi6Tz4prtVYSI3nTeTAVRSqtHjyt2SWBzu5B7DHT81ykljqVhrgniuFuLic
SXDwqHSN1VYUCBTJtDd9x+lbX9qXP/QHvP8AvuD/AOOUAUYNK/4R+606K0ndbeaYxNCUj27RE7Dk
IGJBUckmt/mueuNWa71jR7d7WW0lE7SFZniJx5MgxhHJ79cY4roKAOcstYksYLTTorWV7kzyWy/a
I5IoyE8wht+wjlUyMdc1c02x1CDU5p5THDbShmaCObzAZCVwwzGpHAPc9avajpsGqWrQ3EMcq8lf
MQNtbBG4Z78ms2z1WTS7gWGqPGh2kw3h2xxyqoQHguSGyx69cZoAi1aOW78TafHHbtPBFDIt0N6h
PLl4AZWzuGYycDB4HOMgy2MFzoFxZ2Im+1adJiCDzMCWEqjttyBhl2oAM/MDnJbPD9HuW1LUry+j
iZLN4o4YpGKnzCjy7mGGPy/MMZxT7y4jn1/TrUSx74hLcmMEFuFCDI7DEp/IUANuvB+hX0/nXOia
dcTEbfMltI2bHPGSOnJ/OqVrd3nhXSdNh1CK2FlAiW8tzDI7bAEIDbdnQsFGM8bq6SsTXorfVNQ0
zTJ4YruN3e4nt5lVkMSoVyyk8/O8eODyPbNAEHiDxFY/2TeRPK1tM0DvD9pieEsy4xsLgZYMVxjn
OK6Lms3xNbLeeHdSiaITA28mEK7skKSOPXOK0UcSKGUhlYZBXkEUALzRzRS0AJzRzS0lABzRzS0l
ABzXzj+0f/yPFj/2Do//AEbLX0dXzj+0f/yPFj/2Do//AEbLQB7l4D/5Efw9/wBg63/9FLW7WF4E
/wCRH8O/9g63/wDRS1uUAFLRSUALRSUtABRRRxQAUUUUAFFFJxQBykOl3c2tQRItpGukrIIJLiIy
ttk2+WyAMu3Ch485ycH1qvJe6zF4wUxW9kxWyBvIYZvMaYK/yquQpRh5jEbshgxHXkdFJ+78QW+3
jzbWXf8A7W149v5b3/76NUrq8n8P3V1cTxwtZXV1HtcSMJF3JHH93bg4Kk9en0oAxdSe/wBac30F
vq76ZdQIgtbea3CyLh9zHcTgMrjG0gkp24J68anaHTft7XEcdl5fmmaU7FVMZJYnGMd89O9cz4f8
aaGt1qtqNXtxDDdgRLI2wRB0U7MnGD5nmYU8jp2ArNvGmF9JeWEa6xYz35WDTluljhFwFVll3Y+7
uEjMMNzhgpYHIB1y6TmWae11C4t47hhKVhERTO0DI3IT0A71csbNbG3EKsz/ADM5Z8ZZmYsScADk
k9BXEQ6rJ4D1BtMutR05reeI3kQ1C5Wzjgy+HjiO1tyDIIB5XONxDAL0DSanrF1bwT6fLp9tG5ee
ZbsASDDgKhQ7jzsb5tvHqcigCzp9uJtb1G6keR5IZPIjBc7URo4mIC9OW5zWtXLeG2l0bQbZ52m1
G/vpdzYYcvs6AueFCx9yTx+FXU128aRrZtKZdQUg+X5oMOwuwD+YAcAhScFQe2KADwvDcQx3y3zC
W/WdVmmDBg7eTHyMIuBjHGO3WtyuZk8O2mm+G5nm/c3cdqWmu4S7MJFjwZByCxGM+vArKt/H17eX
lxZR2dzFd24O5ZtNkjE2XcKyGSRFAKqDksRkkZ4oA7O8voLGNXnk8tWbavBJJwTgAewP5VDb6pZa
hOII38yTaXCvGw4BAJ5HuPzrL8LaazWVrcX+nNbajEq5kkkWQu5TDONrMBnLDr3Na95pdpqEkbzw
LI8YKq3IIBxkcfQflQBB4f400AcDzpv/AEa1Q+HPNuLebUJoooWvmS4VI3L7VMSAAkqOflrPlsI4
dWtbbRoFt3t38yebG6JUZJAFK7wSdwH04NWl8I2cGjizt8wzJB5MdxliVYLgPgEdDg9RQBp6pePY
WnmxxrNIZI41Rn2gl3VeTg4+9npWJYTPo+pTNqt1JNcPZ2+6XyspuDS71Uqg4BOeeeRS2OjxQ64w
u3W7n2efvIIXeZXZcKWOMAAD/drpGAYEEZB6igBqSLNGHRgyMMqw6EHoao+Hf+Rf0z/r1i/9AFY2
v6fpmm28MMdq6MGSU+TuwkKSJ5hODwApP1rb0G1ax0PTrZ18t4baONlznBCgY/SgC9RRRQAtJRxR
QAUUelFAC184ftIf8jxY/wDYOj/9Gy19HV84/tH/API8WP8A2Do//RstAHuXgT/kR/Dv/YOt/wD0
UtblYfgP/kR/Dv8A2Drf/wBFLW7QAlFLSUAFFLijFACUUtJQAUUuKzda1+00GEvOWkk2NItvFgyO
qjLEAkcD1JA5AzkjIBo1S1yZ7bRNQmjYpJHbyOrDqCFJBqM6pcBSTpF5gf7cH/xysufWn8ReHbr7
BptzMtxBJGjCWDAYqRg/vOCD1HagDPuJvD0OpC8j8VywzQIw8mO/Wb5TgH5H3k5IHHqBjmo/tWo3
F9bzR6gur2drqWxUjREkkzBkAvkKQC54wDwOeMGS4uLq83adctrX9oBt5t7ZbcjYr5WVZWRUwSF4
JDc/d4NRXVjqS6tpckTahA0l1uc35geIv5RG4pEQWIVMY3Koznk4oAo2tpPp+qXUdvpt1/at5fx3
00M9xEUEAmkO5SCcHbnjuSvTkifUFhvPFUmpnTjpuo6XtEFxNETHKzrmUSSRhgFMexQW5B5wcDOj
Mb6PULqd9TcTm9t7Erawoq+WVVujBzkeaxJz0rH/ALQmtvEF5bPf6zJDPqJtpPJtBhwLZTlWVONu
DkjBOMigDX0fUppLZL/VNKliTWTCkwMiSRwKyBUTruKliBwAMyE4GWNVbPULHULW5l0f+3dQjtUS
MzR3LhlJUOAElYbmCMhyVOQR1OaxMaZNpcdhLqUZ02S8nsjHfz3CCBUaRo0fdMpziMAcZ4PpVRry
20/Q1GmeJTY20yy2pa2uoiZTbuqYQy7jva3X5SHHO1iSWzQBu6LeXcP9hW1obrUra1j+1pHJFCks
luYmSMq+9Vblx2B+U5xkZ1/CHie18S+INdeJpEeLy4UhmTY3lqZBvK5yMv5nXDYC5ABBPDX+t2lx
HFcT6tY+Tp9uLj+z45zabLdXGxERZAVfEXmHcTtZEXCjJPQ6Y2oXl5ZvZvJLf2UVwh1KWzkaK+i3
KUQOSBtbJwckgoCCVJ3gG9/Ytnq2ta0fPaC6DeTL5Gze0MkMXDZUnBKHB46GuhuLO3usGaCOYr08
xA2Pzrzzw/qFzp9hLrX/AAkmnakdWvDJNJdoUjtQIS62wbf8iqFA5XOXZiCWIPQ2uqXeuaz9mjvr
W3t1gd92mXKXDbgU+/viwv3jgd8UAL4Dunl06W1eSZxZ+Xb7Z4fLKMqAMo+UZUMCAec+prU1a4u2
uLaystscs2ZHmZsGONXQPtBVgWIc4zxXFaR4iv4bPT7wTWd/qN7BbwyeTcZjjLMi+bKMgbizqoVR
k4POOBsX2oW/hm/sYJr0NqU6SNNe3LO8MEZYZJQyfIGbao5A4PPGCAXfsI8MyWjrqEwtJLlzceck
QU7kkbLEICPn2859BW615BHaG6aaMWyp5pmLDYExndnpjHOa5VoprPWrCxuLu6uItQff50UsgRiE
ndgCGJjA/dcZAOAOav2dqNaxCIpLfRbZHtlhMhBnZWKZ3K/3AEPDdd3OMUAQ6xfaZqlxbJZXNvPq
yyIYjDInmIPm5JKvheG7V0Fis6Wdut06yXIjUSsvQtjkjpxnPasvxF5FqI70PIt1DLbqRA7ljG0y
ggov3gfm6g96vSaxZw6SupPLts2jWVXZSCQ2NoCkZycgBcZJIGM0Act43urPWJ7DS45LJ5pblI3m
chpY1Eqb0jH98gHvwFJwcYrtq5vSfMuG0tZLeW0kM91emKcAOql3UA4JGT5ynr2NdJQAUUUtACUU
UUAFFGKKACvnH9o//keLH/sHR/8Ao2Wvo6vnH9o//keLH/sHR/8Ao2WgD3LwJ/yI/h7/ALB1v/6K
Wt2sLwH/AMiP4e/7B1v/AOilrcoAWiikoAWkopaACiisxlfVby5haRo7S3YRvGhwZWKq/J6hQGHA
xnnPHBAKmreIXVjb2Eczv/HeJayTxRYOCAE5ds8YHTnPTFZOkWemeIpIGM9vcxqy3QWZ1lu5mBBD
yf8APMAkHYoGOB8oytdkkaxoqIoRFGAqjAA7AVXv9LtdUjCXEW/bnawJVlyMEqw5B9xQA3VNUh0m
BZJhK5dikccMTSO7bS2Aqg84U/lVTw9bzquoXNxBJaNeXRmW3ldWaNQiIPukgZ2bsZON1RyeE7Rp
YriOe6ivYiSl4ZfNlUFSCB5gYAc9MYyBQsWvwyeSs1jNB2uplbzRhj96NcKxIxyGXBycHpQBk6xp
174sF60Vvp726ebZwG5H71GGVeVXAO351UbcfwbsjgB17pOoW+t2radetqE8KNPJbajMwjyQI1YM
o+QlQ4A2kH5mI3cmza+f4d1qeTUJoHttTkXbcRgQrHKFI2FSTnKrw2SSRg8bak8NahcTXNxHeWvl
XNxNcSCSNwyFY5BGF7EEDb2weTnnFAGemh6nJqnlLc2EM9vJ/aQk+xs4EsqSxY/1gLYBbnjtWDp+
l67LY6Tetr8LS/bCoW3s9ztK7kSPJlyAwXeCmMIMgcqGHbajcyaVrlpcmFpLO7VbWeZSP3T7v3RI
64Yuy8Z5K9smuJ8UaybXxdeaDoyCK/1ARTzXEmUS1dCCbgbhtkwpQlQR9znOTgAdfWGpaVb2mj6j
FotzezfaH0/VN7Wi27CQMi43NIWw4OEbJCMCR1MOj6Ppuh2uvXniHULe61q1t/sct9duVDqYIyXG
9iPnyucYHyhf4STR8TeNLLxDa2kTzsty1tdWN69ugmQKVQvIke8MfmVJEbrtycEHIyfE3irQxFEl
7q1rEdb0lI4m063k2oArDGFnAyFcYDZJA6YBoA674k6NLqNvp11ZwXF3fNaTRrb2ly1vNcDYG2bw
ynHBOCQpIVW+9WdYw6jqGvJv0/Meqo9xYyarqLz2qKhwv7pXPmOUMbhWPBEhDDGKoaP4r0S6upXO
sarbiO2W2trhZpB853sybZJZMswRQGI6hQCGIzYm02fT9DfSNSv5rp7UQ3C2u2WeWDeqicmRSWIQ
NIUYkYLAliRwASarps6+FwtzZF4NLZtOkvrW6MJuU8qSAv5bqqAb5mB3EhRvIJwM6Wh6/LoulreN
rsesvMrSX141n5cReONY3dPLG12DRbCit1YY6YqKeLS21KWTS7m8jktLZWgha1LpcXTO7fvA6ZMm
4I3BVvmznBzSSafF4ut7y7n0OSzikmS7uJSYC4Q2i5RGD5zu2kE8Z5NADi1pHa+G7O2VdH1WOQC4
gdUEhaGITNGy5wQdqnduxgg5p+itd/E1LTX4I5bC0urXbFI00gheP5sEpFKvnbi2RvwFHTljVRbU
a++mS61Z6gNUur+M2008ItPMgDyMqt5bH5hCJMq5z8zEKufl1fD+raZ4H8MGGySe4juL+b7JDHCU
gUyzkRRCQKI41+ZQMnv3zyAaPh28ttN1bVzqt3Ba36mOBElPlA26KQjLvJJBbzD1P9TW8O+Ivseg
QRtq+lLBaReSpZW81ljyuTHuyCQoO3rziqlv4X8R6TDFaf262p310nn3Ms4MbyBJYy0ayrgoNruo
IAAz90Ek1gaxeNC+taMxfT5W1a0vJjPdieK5XZHvt1kkZDu2xBwpIGGUdNygA6Jre78RIsl9pcFr
farObaK4l3GS3tUjJ8xFZVZHJ3lVOCpdSc7SK17W4sL7xkdLMkOzS7ZGtbMbeHBw7hR/cDRKOm3e
eOVNZ+vXmn+Ijo2sWUs1jPAfMg1K4P2SNY3T5gwkGZFK87QCMhSSuM1XjuLKxjv5YNYhuLvTr1pb
R7idS8yPDGWi3A5cFiQPdVzkrkgHZaeRc6lqF0v3AUtV9G2biT/307L/AMArRxVPR7BtN0y3t5HE
kyrmWQdHkPLt+LEn8auUAFLSUtACUUUUAFLSUUAGPevnH9o//keLH/sHJ/6Nlr6Or5x/aP8A+R4s
f+wcn/o2WgD3LwH/AMiP4e/7B1v/AOilrcrD8B/8iP4e/wCwdb/+ilrcoAOaKKO1ABRRRQAVn3Gg
2dzcPOyypM5BZobiSMkgYz8rDsAPcAZ6Vo0nagDKbR7yJf8ARdYuoyPurOkcqdP4sqGI/wCBA9ea
gXxQtqkkGoxC31NCFS3RwRck8L5RON2Txg42nrxydymNbxSTRyvGjSxghHKgsueuD2zgUAZn/E8u
WB/0CwQc7cPcluf+2e3j69e2OcvR/CeraTcX7DxA0kN7dm5ZTCztEDyUiMkjqi57bSACQAOCOqoo
AyZNDnmhmim1i8mjlyCskduRgjGMeVyPrmqVn4Jj0/yfs2p30Pk7/L2+T8ocqXH+r+bJUfezjtjj
HR0UAeW/E/T9YtY4bm6vWvtGih8t48pCiSb1dZ5v7zAooUqAAzE7TwpxbXw5JqOsaf8AadOa/uru
3L7tQAGoKu3LK0jl2htgWC8fvAxOAQ2a9qkjSaN45FDxupVlYZBB6g15N4yabwDaXc8EznULaKe9
0xbW3HmXQVQZPtMjBt2AVBztyNrZLcoAYt9rEElrqX9lC3s5rhI7SQae7xPHIJGjlJjDgSshfYzM
eqpw28Y7i6E0EMFpNPrkenSRtBIjW0BZHLRxxhSqcDlj8vT24FZ99aeKbbwvqLSWunWsTXP2lILh
me4JabzSjGLIZmYqgC4PuTiq8S2lrqsGnJp6y3c0yXP9pLYiK4hzdJgv5rNJg5ZVZhz5ZxmgDP1D
RLnx07WM9jdXE8llshutRURRmIYLNE0YUhhIyAxuMMFU5AGau+HNMEEc9jBrF7bwXT208Vjrxi/0
pAiDYrqNxz5YU8sADjZzk6Uck2mzaZJNr8tnbrCkZlnECqqyeaW5KYBzCmM57jvxh6hdwXWjy2Nn
4mvbqK1nFpessBuYkh+7GxMKqq4QqzDIyCxPQUAaln4ia3TWtTi1O3h1D7Y0dzbt5jwvjyoy0Ku6
7igjYfL94g8ZIFWLjw3qX2OWPT9XVReaaLe0t4If3ciqoHmvG7YXClVJByfl5H3TQ0nSf+FZeH9R
S1vf7StNSuWjhZtQEjJNKzAbFkI3FpZBnMmeRk8EnUsdtj4VEN+JLbUpE/s2Ted5s4ghGQVA+XZG
X3AYLc8AcAGZ4sk8R+J7NLyBhBotvKZY7rRyWukKI6u6k/fU5KAKuWDEgrgFrt9o9/b+GdKg1XTx
4isrFC8qwsCjRggq2zhmkRfugA7iM5U4IxR49vdN0e+0fw9b26m13R2X2+OYOkZQuiCJUIIQbVy8
iYUozYDKW6Xwj4yj89vDVrpsst3pFnAJoYbpJGiDIpRXLEYJBPB5+U8Y2kgGbJHoNrrFtrPhq4tC
strJbCHS2G9XALgbFVhhiu19y5UqhGPmz0XhNNG1/TppY4pLm78lbe8uLqOQSEtGGK7n5xh/4TgZ
xTI9VttFutTj1q0a2S9nW4VNizxnIghwAgLHMhH3l7k8Y4568utO0vV49PtIHstN1idLuW3kga0V
o1j2TJ5bKC2f3OVC5Znwcg4oA3tG02+hEmrwTpIizSx29ns8uP7N5p4BYk7iAGDZCngYAOau2upX
nii3st+i3NlaSyxXHnTSwsvlr+8U4VycllUYx37imzSNrGradDe2Rt9My728cqEmaQA7N64wgChm
Ctznb0K4rpo1WNVVQFVRgKowAPSgBaOaKKACiiigAoozRQAc0c+lFHNABzXzj+0f/wAjxY/9g6P/
ANGy19HV84/tH/8AI8WP/YOj/wDRstAHuXgP/kR/Dv8A2Drf/wBFLW7WF4D/AORH8O/9g63/APRS
1uUALRRR+NABRRSUALRRRQAUUUUAFFFFABRRRQAlc/460mXVvD0wtwDc27LcxKy7lcoclCv8QZcr
jvmuhpKAON8UXWqXXgue4jW0vRdRRqluYWVv3jKoOQ7cruDcA8jisXVtF1PT7yzvb63a9vPPjNs1
td3MyQkEO8fllstu8sHdjgE8fKAz9S0zT9Lxo1xY29pbm+jEGpRyrbvGm9ZgCw2svyrIispO4x4J
BNZEhhstLF9pmo6bYz2NnPAY5bpZZbuZAVMg+bAk+VwJCWYhznFAFtdSjur7T7yHVNRsYbVYopYo
LRcsxS6wcSRFiR/s8c1dXU7jRPE15canr0miRygNFBq3kNDIGWNAz+Wy7W3RkKC3IJxk5C5fia50
mN7O5+w6WIIWEyyXqJOojhQJs/dFsZMpIPQFeRyK6X7RCtxbjS7S1sf7WhMEpmg2pE8ZcYZRjJ3s
V9Dxg+oBz9lrtre+Jr+UT6ZazwwfYDDdWwjtroLIRNiQruUNmAA5Zeg2uRxq+HrG71LWJtS0ue1g
h05pbBLOYm5j5Eb7o5AQyL0ULyACcAdDeurGXQ4fDmmSpa3FrbTqsMNnb7JFSKJyhVSxwBtUHb2O
OAcVl33ju4sY77V9OWGa2uXVI7W+b7M+9rcPG4LfeDbCAvGT0OeKAMrUrpNS1K/m1S2uoklR5Lix
gRxHG8QijPmTsoDRgP5gUgJ8u4gk87Hh3wpDbeJvLntJrOUxSSyTW880BuHUxqrOUYLLgM2G4PzH
KKerY/CllpOq27W4l12W+LS3VtLGJN0TRygEsTtRSSB833gqjnYK7TSNLe3ke9vCJdSmXbI2ciNc
kiNOB8oz6c9TQBWvPBel37O0/wBtcyII3/4mNwA6Ak7WAk5HJ4PBzzUg8Jad/aBvf9LN0YhD5v26
ckJknA+fjk8464GegrYpaAM3/hH7TzoZS107wuJE33kzAMOM4L88Ej3BIrRpaKACiikoAWkpaKAC
kopaACkpaSgBa+cP2j/+R4sf+wdH/wCjZa+j6+cP2kP+R4sf+wcn/o2WgD3LwH/yI/h7/sHW/wD6
KWtysPwH/wAiP4e/7B1v/wCilrcoAOKOKKKACiiloAOKTtS/hRQAUlL+FFACUUUUALxScUUUAFFF
MmZkidkTzHCkqmcbjjgZ7UAch4ytoLXWrbUfLhWdbbmWdtqfu7mApubB2gb3yewY8GjV9Vl03WLK
61ixt9O06NpjJei5V0Y+VwGBVWydrcYI+Vec4FcV411htR8Pi7t7Zb7VL6QJA0SoZiRGpKpuXAjj
kdcjJJZSp+8xD/GF+P8AhGdNlSO2nin05tRGjT2zyQIrRCOXEgGxY1SVyd3C5HZsAA6vwXptnqv2
/ULd2tb5JhaSTxIiybVjTKOGU5GTnkZ6YxWReaXJFp+kambnUINQTUZvtNwk3+oj/fPIfLb9221c
g4Q55wM4IseE7ddSku9U19LeK2vo7fUbNY7xnt0XyxGDnIBkAEZLAYG9cE9aoXni7RtAv4FOuz2+
lYW70/dNCN27cssu+bLPFmVTu5AyTnbjABX0/wAbaVqGs3J0cibSpDaJc6wbsiVSZghUsfmAbp97
+BuOprV1iOKPT7MDV9PmS2gjtHjhvHV51DoBwJFDMBvwpJyXxz0OFpM0en6jNFp0WpSXdgWaxT7N
bzQbXVGYAIu7buMn3WG3ewHpXV+D9W8Q+IrqEeJdKXTUMst3axpx8ilVRHBO4ldzNkqufkIAwRQB
t+BdMOn+HLOWe2a2v7mNZbhJAQ6sRkI2WY/ICFA3HAFdDRS0AJRRRQAUcUUUAFFFFABRRRQAfhRR
RQAUUtJQAV84/tH/API8WP8A2Do//RstfR1fOP7R/wDyPFj/ANg6P/0bLQB7l4D/AORH8Pf9g63/
APRS1u1heBP+RH8Pf9g63/8ARS1u0AFFFFABRRRQAUUUUAFH4UUUAFFFJQAUtJRQAtFJRQBh/wDC
O3Ns0osdTa0hLyTRx+QkhWV3Z3JJ5KEtnaMEc/NjAHH61pV14fsb57uG6uIX84yXFurzx+S8hkeJ
IkIeMucbmOQFBw33QPTKKAOMsbjSrfw3pMM9nHrV3HZBmS0jjuHAwBIwwehYkcdTn0OObi+A9jda
VA7alfW2pEqz3AERdl4+RyI1L52rkuS3GNxFeoW+n2trNLNDbQwyyndJJHGFZz3JI61PQBUbS4bj
To7S6H2lFQKWbg5AxuBHIPuORTbHR7bT5GkjEkkzDaZp5Glk29l3MSce34nJyau0UAFLRRQAlL/K
kpaAEopaT+dAC0UUlAC0UlFABS0UlAC0UUUAFfOH7R//ACPFj/2Dk/8ARstfR9fOH7R//I8WP/YO
j/8ARstAHuXgP/kR/Dv/AGDrf/0UtbtYXgT/AJEfw9/2Drf/ANFLW5QAtFJRQAtJS0lAC0UUlAC0
UUlAC0UlFAC0lFFAC0UlFAC0UlFACikoooAWikooAWk/GiigBaKSigBaKSigBaKSigBaKSigApaS
loAKT8aKKAFr5w/aQ/5Hix/7Byf+jZa+jq+cf2j/APkeLH/sHJ/6NloA9y8Cf8iP4e/7B1v/AOil
rcrD8Cf8iP4e/wCwdb/+ilrdoAKSlooASloooAKSlooASloooASjtS0UAJRmorqaSC0mkihM8iIz
LEpALkDhQT69Kw7DxdLqVnDcW+halLHIWU4a3BRlJDBgZQQQwKkYyCCCBQB0NGapaVq0OrRylFkh
mhcxzW8wxJE452sASOhBBBIIIIJBq7QAUUUUAFFFFABRRRQAUUtJQAUUtJQAUUUtACUZpaSgAopa
KAEoopaAEopaSgAr5x/aP/5Hix/7B0f/AKNlr6Pr5w/aQ/5Hix/7Byf+jZaAPcvAn/Ij+Hf+wdb/
APopa3awvAn/ACI/h3/sHW//AKKWt2gAooooAKSlooAKKKKACj0oooAKSlpKACsO70e9s9WbUNKe
IecjC5tbh2WKR/l2yDAOGAXacDkNz0FbnaigDgvETahJqtlJeWU2jpAjPda3pkokAj2OPLwYyxGS
WO5cLhTknOOij/tbR3EYRtatCflk3olxH7NnCuOvOQegwetaOsfZjpN6L0Zs/Ifzx/0z2nd+mai8
PNeNodgb9VW88lfNCnPzY69Bz6jseOetAEdr4itLi4W3l8yyuycCC7QxsT6Kfuv0/hJ6VqVn69pE
euaRdWT7FM0bKkjxh/LYqQHAPcZzTdG1b+0Y3inRbfULc7Li3yTtPZlPdGxlW7j0IIABo0UUtACU
UUtACUtFJQAUtFFABRSUvWgBKKWigBKWiigApKKKAFpKWigAr5w/aP8A+R4sf+wdH/6Nlr6Or5x/
aQ/5Hix/7B0f/o2WgD3LwJ/yI/h3/sHW/wD6KWtyvnrwv+0d/ZvhrSbT/hHvM+z2kMW/7bjdtQDO
PL46Vp/8NN/9S3/5P/8A2ugD3KivDf8Ahpv/AKlv/wAnv/tdH/DTf/Ut/wDk/wD/AGugD3Okrw3/
AIab/wCpb/8AJ/8A+10f8NN/9S3/AOT/AP8Aa6APc6SvDf8Ahpz/AKlv/wAn/wD7XR/w03/1Lf8A
5P8A/wBroA9ypa8M/wCGm/8AqW//ACf/APtdH/DTf/Ut/wDk/wD/AGugD3KivDv+GnP+pb/8n/8A
7XSf8NN/9S3/AOT3/wBroA9yorw3/hpz/qW//J7/AO10f8NN/wDUt/8Ak/8A/a6APa9QsYtSsbiz
nG6C4jaJwDg7WGD/ADrKs9Yn0+H7Pq8cxuIvlN1DbO0Uy84kyoITgcg4wc9sE+U/8NN/9S3/AOT/
AP8Aa6P+Gm/+pb/8n/8A7XQB663iaxjDMwu1jUZMpspggGeu7ZjHfOcY56VBq0K30MWsaZOsl1ax
yGFomVknX+KJj6EqOh4IB7EHyn/hpv8A6lv/AMn/AP7XWTdfHPT7yaV28MSRrMczxQ6o8cc/rvRU
AYnAySMkDByOKAPoO1uUvLaG4iO6KVBIjeoIyKlrw1f2mtqgDw1gDgAX3/2uj/hpz/qW/wDyf/8A
tdAHuVFeG/8ADTf/AFLf/k//APa6P+Gm/wDqW/8Ayf8A/tdAHuVFeG/8NN/9S3/5P/8A2ul/4ac/
6lv/AMn/AP7XQB7jRXhv/DTn/Ut/+T//ANro/wCGm/8AqW//ACf/APtdAHuVFeG/8NN/9S3/AOT/
AP8Aa6P+Gm/+pb/8n/8A7XQB7lRXhv8Aw03/ANS3/wCT/wD9ro/4ac/6lv8A8n//ALXQB7lRXhv/
AA05/wBS3/5P/wD2uj/hpv8A6lv/AMn/AP7XQB7lRXhv/DTf/Ut/+T//ANro/wCGnP8AqW//ACf/
APtdAHuXNFeG/wDDTf8A1Lf/AJP/AP2ul/4ac/6lv/yf/wDtdAHuNfOP7R//ACPFj/2Do/8A0bLW
5/w05/1Lf/k9/wDa68h+L/xa/wCEs8S213/ZX2XZaLFs+0b84dznOwf3v0oA/9k=