20221230
21282600
1.0
FALSE
鄉鎮市區界
002
file://\\PC299\D$\LiMing\AgEx_DahuSanWanShihTan\PPKX\AgEx_DahuSanWanShihTan1231\p30\agex_dahusanwanshihtan.gdb
Local Area Network
Geographic
GCS_TWD97_2020
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/3.0.0'><WKT>GEOGCS["GCS_TWD97_2020",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</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></GeographicCoordinateSystem>
ExportFeatures TOWN_MOI_1111118 D:\LiMing\AgEx_DahuSanWanShihTan\AgEx_DahuSanWanShihTan.gdb\鄉鎮市區界 # NOT_USE_ALIAS "TOWNID "TOWNID" true true false 8 Text 0 0,First,#,TOWN_MOI_1111118,TOWNID,0,8;TOWNCODE "TOWNCODE" true true false 12 Text 0 0,First,#,TOWN_MOI_1111118,TOWNCODE,0,12;COUNTYNAME "COUNTYNAME" true true false 12 Text 0 0,First,#,TOWN_MOI_1111118,COUNTYNAME,0,12;TOWNNAME "TOWNNAME" true true false 12 Text 0 0,First,#,TOWN_MOI_1111118,TOWNNAME,0,12;TOWNENG "TOWNENG" true true false 39 Text 0 0,First,#,TOWN_MOI_1111118,TOWNENG,0,39;COUNTYID "COUNTYID" true true false 3 Text 0 0,First,#,TOWN_MOI_1111118,COUNTYID,0,3;COUNTYCODE "COUNTYCODE" true true false 8 Text 0 0,First,#,TOWN_MOI_1111118,COUNTYCODE,0,8" #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.0.0'><WorkspaceConnectionString>DATABASE=D:\LiMing\AgEx_DahuSanWanShihTan\AgEx_DahuSanWanShihTan.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>鄉鎮市區界</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>Area</field_name><field_type>FLOAT</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateGeometryAttributes 計畫範圍 "Area AREA" # Hectares PROJCS["TWD_1997_TM_Taiwan",GEOGCS["GCS_TWD_1997",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",250000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",121.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] "Same as input"
CalculateGeometryAttributes 計畫範圍 "Area AREA" # "Square Kilometers" PROJCS["TWD_1997_TM_Taiwan",GEOGCS["GCS_TWD_1997",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",250000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",121.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] "Same as input"
DefineProjection 計畫範圍 PROJCS["TWD_1997_TM_Taiwan",GEOGCS["GCS_TWD_1997",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",250000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",121.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]
DefineProjection 計畫範圍 GEOGCS["GCS_TWD_1997",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]
CalculateGeometryAttributes 計畫範圍 "Area AREA_GEODESIC" # Hectares PROJCS["TWD_1997_TM_Taiwan",GEOGCS["GCS_TWD_1997",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",250000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",121.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] "Same as input"
Project 計畫範圍 D:\LiMing\AgEx_DahuSanWanShihTan\AgEx_DahuSanWanShihTan.gdb\計畫範圍_3826 PROJCS["TWD_1997_TM_Taiwan",GEOGCS["GCS_TWD_1997",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",250000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",121.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] # GEOGCS["GCS_TWD_1997",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
CalculateGeometryAttributes 計畫範圍 "Area AREA_GEODESIC" # "Square Kilometers" PROJCS["TWD_1997_TM_Taiwan",GEOGCS["GCS_TWD_1997",DATUM["D_TWD_1997",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",250000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",121.0],PARAMETER["Scale_Factor",0.9999],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] "Same as input"
20221229
10414300
20221229
10414300
Microsoft Windows 10 Version 10.0 (Build 18363) ; Esri ArcGIS 13.0.2.36056
三灣獅潭大湖_計畫範圍
計畫範圍
計畫範圍
File Geodatabase Feature Class
dataset
0
Simple
FALSE
0
TRUE
FALSE
鄉鎮市區界
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.
TOWNID
TOWNID
String
8
0
0
TOWNCODE
TOWNCODE
String
12
0
0
COUNTYNAME
COUNTYNAME
String
12
0
0
TOWNNAME
TOWNNAME
String
12
0
0
TOWNENG
TOWNENG
String
39
0
0
COUNTYID
COUNTYID
String
3
0
0
COUNTYCODE
COUNTYCODE
String
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.
20221229
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDmgTp7
xtATv5ORVtLiYxMWTDhflbPc9TVQSicwqOZWI3n09qvagqJsiiLLIOGA7mtWcRnG+a2tZIAQQ/PI
zzXG6tl75pDv85YwQAOCBXQ3cbFsBWLHk1gXTgXsitI0Z8vAIUHJPrVWVhwepnl7i9SMyI4t3bap
BwCfT68/jTmiihuCttO6YXgMp5PPFKyCzs0bavmgkjKYz67vw7Us8K+YsschDqclOMAnjp3zisza
45DHYyGNiHMg3KzZG2nrcW8oMhI9FGP61LeSRSwQ2+3n7rELnbn2p11pa29tHIgUN0aNjjd9PQ1W
vQm66kCxG9+SIPt/iJBHH4dagtoU8/yYZZt4bLbQSdox7dK0rCU+YfKLLGBgBh8oPpVS9IN8Zogy
uVKP2G/GOD9KGtLgnrYeLbP7yWElAxKloiodcEVai1BFleSW4aR9mFL8gHGADVNLmREj3ySlFUbl
J5HGATx39KmFwLmLHliDzDw3YFenHNJMHfqSW95dTu6LaspccSMM7foKstdxtYrp78TE7doHP1FJ
aNKJn8lmZguHaVuCf61DcxXiss26OXY2TgYOO/1ppdRPexNAsUAUSW5UkguNnQ1YnuI1n2hZOnpV
eKeOXJVn3nGVZMfzokuUidIVQTTtyUU8r/hWmiRDTbEmlMjj9yyr03N3pv8AaMKwbQGdgdoTHU0w
tPLN9mli2MWyQOQVqa+h2QLBAiI0jDkDjipb7DsupmBvs2oLPMijecEICdp7VrQyhpC3lSPj+EDq
ahggEcYgYBnJyWHOfQVMu+IOu8LLksqBfTjOT6jNcGMqWj7NdS5vkpuXV6L06v8AT7+w1Y7z988b
ywiSTcFdN20f5FULzUZJ4WIkIZDhkIG0j1qeW+uZLB1LJE29UJYHhT1PPUZ4qlaacyQie/uvIsZC
yExBWbI/hZcgj15rlo07u8raHPRpXbcugkCGEwLMUiJ+aOMoWZge+MHj61oG0VopblHSOVBuSNU6
gdT7U+WxiuZ4VtbUwWxUFXlbMjEfxZH3c+gpLqNpndQTHIFPmtuOXIHQHPOautK7VmaVJJySRDba
nKrKYkVIUHmgEbixwRxgVba6unCvEdvz7pIwuCoxyMHkCk0ubZZvp08TpcQsTCVHIYg43eveqUn2
dS6STl7kPsClMhuclv8A6xrOy5nZENLmegy+W0afzI45Uy4yXB2A9TVaH7PPdFY0cM3JKnAH4eld
E0Ud3ZurJEkQw4jRBgYHBBwKhlhE7KIUUyKoxKjALz2Pej2tlr+ZLqcqsVIJ1bdDLbtLESMeSrev
Ujt0qxfKgtlSNJI1AIxtOPXn/Per0Ua2sJYqoY8naOPwrEv7lbslHIVd20k554NTQi6tVOOyNMKu
abrfZX4trb/Py+Q1JfssgLhXiK4LPH0xVWeMybniJXdgkt0IP1qZo3guVEZcRlQVbrkY/KpIitwJ
FZv3SttzXs2ua3sVPscTKoebMjEENg7c116rDagGWQujoBtPbjrWCFWVUiVFjij5Ltx+AIrptUg2
WVopXqoz+VEbXsKeqKtnBuuPmbZETgyA/dFOFqlteFUkDRvkjFZ5dIo9mM5756VJBL50Pyg7lbBI
71TRFjWMiGBo15ZuOawprcJKwYNn2Oa1o5lCEhFZiMAH1rN3sCQzMDnpinENjo7JYorGa4kx5pwI
x/M1W+3GRx3Ibhsc1DeSGMpEnCpxxVeKQLMjLwSec0+XQhvoXZY1lnA3AZ5JPSuQ8QXX2fUZEjAD
MgGcdP8A9ddk/k5UtlexOetcZr52a4/y72MQAz+NQ9jSn8RC9ys6LDvAAVQ7NwcbgMe1FpD5hidA
rzMxw78gAc5+vNJa2C3KSsnyAZGWPUEYx+dNjhlhkQLH5ikbuOMckY/Okr7mjtsi1O0KQ79+JkfD
Bf4sGrSu00rXbDcoUBFzkDNZckjFkF0EVSeSOx9T61I7ukKbY5fLZhuKngntiq5hcpozhZEBUEOD
yEOAf85qpfhhfw20TFUGGc+mSPz5pkM0n+r2vt3EhCOo/wD11bMnmwfdPmkBVdvX+Kh6iWjIooJL
pN80WY3ClkU9QBx+IzV2K2i3LmParKAmDjA9KSGbeuIwCyttAXpwKljB87PlOpHOCc/lTsiG2RTq
sF7hMqpUEFRnp604M4wxZXiPPTmi1PnNJMU2lmIGT6UtzFGkJlgTa/TYvfPtT2Vx9bEeryxxaV56
KVuGYKjr1X1z+tZCB4bhGAIIXlsYPPqfrmtFJreG4Z50ZgRtG/nnvU15HERDd5AUoRsI6mofcuP8
qKttciWVUjkIIUq7HksP8aklmlWZTGu8RZ5PcVZS22tGyiOIZ5VRzj3PapkhhnUmB8jPOa5JY2nG
VmEnRi7Of4aff/wCtHvM0U4U7SwLCr73dqMMzA5yM4zTJpvsEKbhlScMaxL69j8olMAhhIxUcdeA
frXnyTxM+dnNWtiKl4/CtF6f1qP1ERuZFhjY3MLb2xzhD/hxVGJAl2CU+RgpbzfU98Cpp/t8cAcq
N9yokLqvJTOOD6cCrl011btEJIUMezaGHXIrsuoLl6nRdU0o9TSGqWjlIHkKPtJOwHgjpWJDqV5a
zNPGxy4KEuMg/nVyG4i1SeS1gVI5ZFG55OMY7ZrXtNDs7MpBdMZZpFZmQHKkj+Vccqsaaamt+hzu
cYJprfoZMV4l9FbCR3+3xHaZeP8AVDJAA7nJ7+gqGbzL7Vk2YLRgjc4xuU8dPzot4bSHU/NDbUUg
gM2SBgf1Na9zJaRkmVlEmM5H3qcqnI7RW6CrWfNor3QkH2qBRDJ5LxgYGPlqWCIxDLY4GBgDp7+t
ZVvBNf3pmk3LEuME9WrQv7uO3iZW5JXp7VlUUm1BO7Zi4TqTVNPV7mdqWqKJI0AkCHnI4zUd41q8
JVnO5huGBxnjNMjU3MXluwCg5AIyRUbh7K42bUkXAPHUY/rXs0aSpQsj0LRiuSGyLGm3UhLRzShF
7MRkDIHFV7pY7XUELp5lsWGNhAz3/Corm3mQE4Kljkbj1/8Ar8/pUMitPKDJLyTkL/Dgd60bHFLc
uPeSOxtraIpLuLsOgx6Ct03Re2jyxLYAyT7VzRldG81OUX5fetVbeR1XgjAFVFIiY4sCjOOMHBFS
2JBml2HC7enpVeWJxvIBOAM4ptoxhlDZGG4NX0INFpGhmRj92tGNlaMMcHNZUrK7mMn6GrVtOY4Q
uM4qGLUluslwqkkEnrTUWJnwzcVHdShpCB2OAajQqnVSWrW2hDNSSKN4R8y4HTnk1xHiFZn1MFVY
DaBketdiSNieWvTH51zHiHzU1khQVcKrDHIHWspbGtL4h2nSCG32yx5dscY68nmrEskDO8h5V0Cf
7vJ/Ko0Z3h8wR5mBJcnnt29sfyqndyl8+XHsZkBZ+CNuO3v2qr2Q7XZFqUyyTupYDy+MgcGpo33W
K28LFlB3ZPGKrXFqi2gjQLuGHZt2SM/SpbJ9kZO9jIBwyg4P145qOpf2dC8HRYxdyNzHxwfzFQX9
5GpRYASh5LjoM9SPeoWkmulQCJmhYEuw4yM88VofZYTp8wht1VvLKDueff8AGq1exOiepNaBorVI
yjIewP8AWrCvukbt6ms2E3FihDq06BcryMp7e9FnfCbLue3C9AKtNLRkOLepekh8tftMY+UuFdee
/ert9dxxwKY44ikKELsHLHucmqXmOZomtZ1YjDMuDwfT0qvMrKzid2y5JUqchW9Caz6ldLFISS3a
ySlwZM7VCjbubtip7lis1rbzN5ijmVV6A4wP51myN5d5LGoL+o55HBzV8CV0toTEyIVJfjlwcd+w
OO9ctepyrl7mjcYRu+v9f16jJtUT7QLdGOyQ4Z36fWrtlfW1vm3hUuA+Cy9OammtYbiUQtDlMb1H
dQOgyOP/ANVUJbX7BbpJIdrySDgAFV9M1516c0onC3TmuU1rmUbnjddyFMqMZ5rnruOBf3PyAqwZ
gmfm74NX5LYzQgz3j+b95RGMjHoO9Zo/4l1zqEU8BlleIbVEgOzODk468cYrXDQUb2ZrhoJbMuWX
+kTQuXkUKGKL1BXPCjtnk5HtWlL5k7LDOBGi4djkZ47fWordoLy33lljt3bcEYYz2/DvUcumul/C
9iCwIx+8BZF59aynJTqa6NESkpz13RS1CeZr6VlgjSHgEYGMduneprO5urG6kuEuC6IuGDgsSPak
1G+u47mQXEcBf7u5PmB9OnepLGSSW6RGJJkU72wQMdwP0FaNv2Sulaxo2+TVaBYWST3S3eBJkFiG
G0Bs/rWrJp8MvlmQZdMZb+9j1pPsvkSmaAZJHKE8fh6VLbu8sRZyAx/hA+77VyVKsm+aLOKpVlJ8
yY/fGgJ3KAOvNZMzQ3F0ZNm8HKq+eMfSoNjHVJQMEDhs9z60bRDMUiGx8ZyOa9HBYXlftLndSoRp
QUr3cl9yv/wCOO38ydfKfZknvmknDQSOJQdx4yoyT9KfHHGHDyCQSjo6d/wplzKWk5UMxwAGODn0
GO/NejexotyoZkmtZFlZy5OUUc5b39B1qC3j3RKzD268j3pBaeXIyvICWbpnr3+vpU2/y5V3pkjH
DcADt0qV5mj02L0SwPYPjJO4Et2HrXQNciGzgVkGGQHJFYKbI2Msfy7h8yHpXRalDMbCzZmXZsCA
D0xT6mMjNuWwhkj+6eGFZ6upByBW0I0RRHjIIBNZs9mUuGVB8hOVJNWmJEUM2yT1Fa9ve2yQhX+9
3rKFq4xv+X0p/wBkA7/rTdmM1bvaZQyLj1GeKrn72eRV/V4SLrK456gdqp28AkcBmxnrTT0Mmi4s
m3YcjjpxXN663ma4NqNJviGdpxzzXRm3ixkSliPwrFv544taePAz5YZc+uDUuzNIXTKsEsTXMYge
PexwxIG4cfh61WvdgmlCMvmMxVt2OCMdh9DT7bevzFFxkxh1HVhjqfQ1JcvCl0iltsJOWUDBGM9/
zpbotaMfY2LfZ90MmGKYZc8/Wqn2OJFlkkBBRuULYyO5+ta9tbpFKvky/IBub3+tV9RC3Vx5KRBn
HP1oaQlJ3LlnFGIy6q65GNzEHjtjFR+VKspM85eI4Cgjbk/hUlmr21mkMnBPHLc4pJ7iMSKkjjef
u57GtERrcSRgisTuJPtSXNqJLZIyFRQMqU4bcev4VPHF5luGZ/mPTbzVOC3kndjAzn5t7FjgfnRL
UEVre7lsbv7KVQlSAM5BYHvWrdsJLKUOVXjKlh3qo9oxmMziN2XksMckfhVeZpLmVZnCSeawVYyM
baz12LsnqZSL5l3EIkxIcdW4Y+vsOK662i/0KKOZATsAZTzVCC3igIjkj3jb+8JOQuen4da1URY0
VEGFUYArxcfN8yi1sYY+TSiltv8AP/gAkaRIERQqjoB2qncyxPc+RcGMRKof5j1NTyxuAzfaHUde
g4/Ssc2FvI7SX1yJZGyUAOBXLSim7tnJTim7tkU01tLqCvboqPEwLtLhQoB7c/oK1IVjvb6S8eIS
GYhFMYxvQDk5PRjyeue1clciYz7thOHwFVPl4rVttWlt4ZFuoQfMYsig7cFjnP0r0qkJRpKEd/xP
TnCUaSjHc07+H7NFdQW8xaUMWaJU35PQHjkGqenXl+ZvLilYXCx7GV2yu30Iz+P1rdt/EMdsYvtd
qyROmEuNp/ebQORxyPesdLJZj9pt5ykEz+aYxJtKmuenKdmpxt5mEHJJqSt5iLZxzPcI5F1tAQSy
rt2j1wDwfxq1YW66ZavJI7bDg85JFQyz28cLmW4U7T0Rhlvr61bmmMOmvKFXBAwvbFZVJSfu9GzG
pKUvd7sqnxDb7i+1xADt3FeWPPT8qkTUba4aWOFWZ5UyAflycdPrWLNahfsrDaBIMOoG75snOPfp
Vm2sA9+UilZdiiRWPeuiWGpKn7SPT+vU2lhqahzrYjgMiB9obA4IHr71cjSBnZ3c54LGlvAIVVgx
wzcgDnPvWfJKVl2nCOwxgL1+telSa5b9zurq0lHtp/w3kaASFmYrLKCB9z1/MZqlK1xZoCJ/MYOS
vBIGeMZ6/l0pn2pMDzlbfnja3FIpEyqkgUtuwu77hPXp6c1TZlFWJ78pMq3lrCIbeQf6uFsFWxnP
/j1UXjHmFWcFVAOM9vY1J5TW8nkOBKqjbkHAAz1HvikeJo4kbyPL3kYw3X2xSRbLkV+bR0dV3bEx
hsHINdZDqUM0MMboGhZQCT/Ca4XzCsgR4ymFx8o/LNaiiSOADaRkDnNWlcyktDp9Qa32ghoxtA24
PX1rKuE85JGB+4SRWdbwyzShIwXJ7CtRrG8ghG+PaHOBz/OnaxnYggfzYAs3zbPzxUqwpj5ZBjtk
c0wQLZx5kbc79FHakKkHow+hoZVzQ1KKSHU5kmJGDg1DHhdzIDwe9P1EMbkuSzN/ETUcDrHJvkBZ
AOBnvVrYyZIiqyMCvPU+9cxrMbSaiydGVVIP510kT+ZcZbIRzyBXO+KCf7XAiA2BF+bPPfionojW
l8RURmiid1kxD90xqec4+9/KpftVqzs7AqQx3YOSMelV4YPOdeNkm/J5xxn09BmrMGnwtKXkUMud
33+fx+mDUq5q7Ek11GqAxgiGY4aQHlj0/AVNBc2iXRfJygznqTjsKrTaWHM1wrbYkYARfpSpbLZu
u1WbfwQwztz0p63J92xekM99KH2mGIL8u485pfJt1tpBMC6qmwMR3PQ/pVsBsMCoCAZqp9qjntHg
Z1yxJCKevHf9fzq2kQncr2PmWjN5RaeIrgBW6nqTz9aVpr+8ZDb/ALq3U/NGDj86fG6K0cezG9Ru
C5+Trj9K0FijuiJoJTG4G04/qKmw27O5z6lhcTW250Lnnk4rT08RRweZJ1U5UsPT0pyX9tHOyXCb
Zum4LncKryyy3BZLdmaBBn5lxkjoBQtBtt6E9vdvcXLySF0RhjG3g8mrun3jTxyhl4iO0N61m2d1
ttn80OsgG5sjrV6zidNHYTPywLFjxXnZio8kb7meI/gtNdVby/qw6/aFrdZpJpFiOAdh4NY9z5Fp
ZNKrF5JvuZOdq063C3crQpLKtsFw5IBBNOlj06PSzNGGkfzNixsc7VB5P41z048jUW2Z04crUXcj
hkXTp7aVJT5LAM4x93Jwc+tdHqOnWOqWz6hassixRkqE6kgf/q/Kq2oaZa38U18iRW0jqjRRqw2g
gcD8cfrWPNql2LEQOqJFIpXMYwRyWJOP96nUXtpKVN6rQ1qfvJc0HqifUbW5ks7ZWNxtYb44T91O
Bu/DGKr2EIiiWR50W3Y4ZM5ww9qupq8D2zW95IxWPO1xwzE+votUrXS45FeLYXcJkc5Iz04q4uaj
aZfLJU+aTNiPSlbTJp/tlsuXIhiMXzn0+gqlGt5bxu09sj47D+dRWsV88ojkYhIAMZ5BJ+lTSiWV
pnLOu08q/Q9iM1nN3fLdGE3d8uhngzi5t7kQOdnzMgIxn1/I1PbiE3090ZHEaDeoPHHoPYE1Z1NU
srAINoklYbtvoB/9YVQW/nmto7TyVcEBOBzjP+Aqk3UV4rTb5FRvV+Fb6fIkmupXMIf70hyzEdB0
/OiS2aITRswcKAQzYBP0q4rNPpzRupWPAG4LkrVAsAAs9wJFA27j/CD6etelGPJFJHVOSlLRWS0+
4rO224G+IunlZXb2/wA4qC3lieIRMjby2d47DFPXbExUSOm4D5+cgZ6D8KJolt2HkOpK5Ysf8+o/
lQPyLEroYx5rHfEihT3Y4z+mabHOydXOS/G85ANJ9lZovPaPqdwwfaoUh8xQCdxJBUA84poWhqWt
150gRY1eRQcGtZo3McQXAyoySOlc7BE0v7u3RvPXPA64ro47wrEiTR5woDD2xVq5lNFB3ltZz5bb
WP8AEtXP7WuZoBHK+duMVI8UUilo2DcZHqKrAxRfeHPequSPFpdyRG5+8B2qa3uh5IEifMOKS01R
4n2qcx+hqxLqcfmH/REPvikxWH6hLJNeyHZsQtnaOgqsyPI+Qvyj0pDJIWYZxzyM8VLAzZCoxGD0
rTZGbLtlaRxurz8KOdneua13yn8RBQwjQRAhienXFdTPI/lBSxckcsOlcXrTSDUhFtDAopYFckDN
ZS8zSluS3YEilzOInRd6nGNxPY/1FJHG7pGbiKQF+QyDd1IycdqcsiFNkSHAO1UkP3CRknnrV6O6
VNqR7pJOECtwfc/SqVmU20rFeQyNfiMbxbyAbgVxnH/6qtz+W6iOQLtLAnJxiq05Edyo2HDnJO7g
H/Gr5RFQPtBJ9apdSJdClfWjCeJQ7vCDgR7sHnrzUtva2sWZYgS33cHtUtyHmt2KAFlII9zmi3ZA
hDAqTzgjGM0Wsx3diOaBBEd2ER8Bm6YFLZrbrcPBby5QJj5DnGfeqV1cmFoxOAwLfcDHkdqljihu
ZtwlCbARgZ6dsVL3KS0MxrILfm3MrMpOWkX5icH9K0VuZEURiJyw+XeeMfgaz7GN45FuSC4LGPGc
fjWpcGVgNsbyf3doB/Opuox5m7FS1diJbd7iYBcKHPz88nH/ANb+dbE1vHLCInA8oYyvqBUVqjQR
b58BzgHHP+f/AK1JdmS5hMMAdvMX5TGeWOeg/CvCxVZ1quj0Rx4mopzUIPRdfPr923yILny7YlYo
FV5nRE2kZf0+lUdVstQsNTjUwm1kGdv7xXQkfw5XjPsabf3UMNjFs8prmGUgwuxOAOB0PODzUBup
HubO4uYolyoBXLOH9CQSefx/CumhDljzdTooQ5Y8z3OktdLs7yGNMAyuolJKbSp9uxFYd2bmK6+z
zpGrxDbuB4UHIwcd+h/CtY61frfrCm5lKHlkQY9CMf40sGlvq2l3U8spjmkkLqVb7xUHbu/H0rkh
KVN89R6P9TGMnB809jCfQ7qIbFKGMICwIP3SeG7Z6/pS6Yl6xV0ncM2RGGXIPv8AStCK/lvLXM8Q
zbRiJyWHycEZB7kms6CW2s5zb3ZDxl8jOeD0yfWupTqNNSWprzzaaa1NqziuBbOZmRpSc7kPf14q
taxSpI6yliisX6klvUY/KtFpEa33RyDZ03Ic4FU7T/TpUjRvOIyME4GSeT7jArjUm+aTOOMm1KTI
Na029LRzSrDH8hcjzAWCcbdw/hJ561lQwXMUikFRuIGAeR6EH/PWt+5sUe3miiIhONjKCNpI9az5
jPC4hSBWMaBWXzic/Ly3P1rtwlWLfKd+EnGScYLX9Ov9alFvtFtHIUIwzHcR8w/HtVOd5XlCvKGC
nOR0/CrzxSyRysZH2D7iB+pP+zVBkVHCyP8AvkI+RskGvRZsi1808BaRsqhyDjj881AY3hmk+Vs5
OVkGMjpVk26MTGzMT1QjoT+fNOJmQMygZZwuCcD0I56detMVyCHDE/aWYLEclVTOMf5/lRKkcqNc
REKu4kEkAA59B3q1cwi2kELXSukyh5NqnIfuDuHUZqC3aWEPEJI/JDDg4yfToM9qkZPH9pg2XUEs
aN/qy/Q8+1bd9bm3SGQnJZBx68VVuLSGWLzJEz3OCRk1PMslxDG4LHaoGCegxWiVmZt3IYk8wF/u
/SlZVf8A2WB5NPjIEeCMH0pXVUbc2SGGOO1VcgbGyIwXhcnk1OevHI9RVHY0JByeex6U5fLYZLsp
9M0NDLtxsVyqnA701c5UDNTzPHJcH5OAcHFNLBmDhcduKu+hgW3jlNorA9feuW1OBptW3GTG2Neo
yO/WunUn7O3ORjjnpWNJCHvGcygAAblx25qGrmkHZlK78+2dSkO/anBY5wc8EVOq+ZB9oZRKyrgK
B0/yatEO6hUfMJbcQevHAx7VVS0k+3yCKQxgEuvpk47fnQk1qXdMdCkccJmkV1hD5Kgfy9qdNILu
QshaK3j2klzgn8KqC71C9We3VYyF+QsDjBp9nYKkey43CY/xE9fpSu3sFras0+AcIx8sHOaQbZid
r4ePkj+hqJEmjwsknmc88YwKaTiQ+W+M9R61o7shblXUWW7lJjZNsSnOP73481VCzhPtQQxKrfKz
HJJq9BYRSTGWVRheAq8ZPY1oSRRErE4BiC/rWfK3uac6WiK1r5fl+VINvcZPf1FWrTe0pbjaOKqi
28p8LIzoR8oPOK04U8uJV7968/Mq1oez7mdaSp0W/wCbT/NkNzC3mJcR7mkQYVM8c9Tj6Vlvcyxa
koBaO5j+cLCMpk8EnPsav3z3MdxC1ud/ODF6++farlk1lpGlxXEqrJc3zZGerFjwPYDIrzIS5Yp2
vfRL+uhyUrpJ2vfY5LVV/wCJl5h8vz9wLRg8AYH/ANetHUbJfssDsqqXk7dWPYfSq4j8zU5vNs3R
YZsSRKvK/jWpq08FzaxGO1eOKBvvZ+63vXbObUoRS2O2UrSikeh6f4L0YhI55btZBCrFI2AAyAeP
89qavgXRI1igZ70T3CqwaORflLAgHGPXmsW08a7vJngSN3WNYGLsck44IHpUs3jvUhcukf2aOQKo
iIQlo8cnFej9Yy1Ne472133+84uaadn/AEi5B8PdBZJBIb0yQqDKUcbSwznAx0yM4rhbqK3ikkup
oy5OODgbR0rsD8Qrm4gEkcESXM0f7wID8nHX9TXHS3LxLd3DFWin/dhXGcH2rkxtShOUVh013LXO
3aRWnujar5tqoNrIfuKME/SrMFzdR2fnK5RWwGAXlVqgLWGaaO3iG+NlyDu5X1HtVrTljS6NnPEP
MjXhs5zXLUjBR03/AENKijGOm/UsxQtc2sUglCS5yOAcD0qO50xpLbzZJsToCTIM8gVpNBGVI2gZ
7jjFRXIkGnupb59uCwFcsaslJcrsctOpLnXI7O5j/wBoPb2lsoHLDc7eo6VQhtTcmZnj4PClRWlI
I0tllH72NE2e4PpVK2ZY1khlEiSL0Knk57170NUj266tUkQZurMR7iQ7g4PTAFTIJNn3hkgnk5PP
VvrwK2LCJ5Qj3GNkXCAr1qvqNu1vMptwcSA/L2znpWljDmuyklxHcBkZWWRUyruxxuPJYj1pEsFD
mQybix7dMUz5BAiyKVIHzE9+KsQSxAKqEHBwfenFIG2W4pgbZoTjcoxjNWVlc2q4H8ODWfdwFYyy
jD57d/rWnCGEEbEcEDmn1IZEhVlLZ+b0NPLjfxyD2NVpGXzDhSBntUm5MZBb2piHyKrKAc59Kj8q
I9QSfrTRJucgnJphDZOMUDNBFdC8oxsVsH3q3KRKgMaAK3pUbYnyCNr54A6GowxQtCxKqOgI71Zi
PlZY02jqRzWVMQplUqcOAu4dq0nVSAWNZUryC8kjiG5CgPpg/WjoOJJDEbZDGzFvmznHNWMhkYKw
WTZg+2f/ANVV2lvBYu/2cswXrHyFY4Azn3NV452jijWU7cL85fhj9B+FLmWyL5XuyPT43QlgQSxP
APB5rUOGBSQfL2qoscEokcBVDn7sfQVEzvbTp8xdJOpc8jH9KS0Wo37zLjs1tH86lx0WQf1qpbpu
naebcgAGEB4PrWlGqT2ZXdxweOaoeettH/pCEEtgkkcZobS1ew4RctIrUuQvEFfKknPFNJLMvt0q
rczxLhsspjcZROpXrkj0qX9/FcqysXgYqVyvT8a4KmN0airdmat0acmpPVJ+jdv8y1CViQzzSLjP
ygdB/wDXouLi6DqIokCseGZsZ/wqQx2z3WwkFgufLI4+tNu7a5n3C1LO+AQgXI/GvI5lKd5fieZK
q6tTmqf8ASzvLiR3zZM0LSfvCcH5Npzz78VS1m8guLczRSFlRlVrd1x5Y29B+Iq9fT6rYpFdSwpE
LcBUAlARyRjlR3p91ost7oiXdxIq3rkSySE4VV59OwBrSDhGUZuyW2jv/XqbQcIyUtl95Qs5b3R7
CO8UOXumBlWZeMeoP41qO8F15t1HF5jsn/Hu/wAo+o9apyatJNaxx3KkytholMRC4x69xR5VzYJb
SzQsyM/zRB+nuD2H40pLmd5aS/MmV27vcqnSCqQ3tvGY2LD5TJke4PpTrjVP9KWNIpFkVSzfL2wc
/pS3skkm5JY9it8xjzgjnIIPfPrVq7WPTrJYtStWtrh4VAk2lWUcleCOvGMj1rWzaTkr/wBfiXyu
VpSVxHsba6MF4i+UJUPyRtgbewPviqt7p0TwyukDFIWDMSTtHHSo9LuLZWghKNDOoIJY4DjJIwPo
f0rSu5pFgkhTZslZQxZsAfWs25xqWv8A8NcyblGra5R0pBEskqQmNGbOScgj2qGdjdXA8ksJFQsr
CPBJzmrQtVQAxs5UZ/d5wmf54rRiA8pCB2HXrTnVUXzrqKdTlfP3IUvEbIVJSVxu+Q8VWj1TzJpE
2AYXKZPOcdDWgqbXZs/exxWTqk0IuI4XA2D53A43HsKypRjOXKkZU1GTtYypbK4mKhg6RnLMewx3
NaotIfJS6gIkbYFODnOPSsdLuW3jeBZJAvfaM8VINQFozxQyfaIm53qCPxxXtwc4v3vwPbglOPLN
2fR/oSSXzeY8AcgkbQp/hNac0gk0+MXDKclPmDd8g5qhcwR3jo8DhyV3TFTx9K0Wtf8AQFgOFZh8
idyfU+mOv4Vte+plOPK7PczikMiBASxkfOWHbHamSWrKHZQNowcg4pk+nTWspWOTfhcgYOQPQHvU
cd1JGTHKco3y4I5zVC9DQW8EsMkJVjIF44rvdM0VdS0G2eBwUOFZcc5ri9LttNjWSa5vmTMbbCF/
ix0Neq/CWRTokl3KQywcAYod9xcqPPNS0K403UxazqU3H5Se4pLbQLu7tnnhjLpGSCRXs9/4PfxG
66q7+ZGysPLYcr6YrL+Hvhxyt5bTzSI6HmMrgYzwaObQOU8XkhaKR0KkMKqtIVYg5Fe/eNvA+kad
Yrq23GxgrqP4s9685l0jTGlYqwIzwTTUriasc/GZlckAhOASRUlwMtzJ15PvSK5AKOSecmklQMwA
z93NaGAhcKoIGRnmqEs0aanKVjPlhAWf+4Pp3q0S+Ap7VUDSRzTbIydwXfxzt9BRLbQqKI4tWlun
NmrD7GjFgxXGT68degH41JIIrzMbc44BIIIqAWb28itEqqOCw747irqxEn5RnvxSjGy1Lk1fQQEf
6vyyJB1FUb0BbhGWRAU65q5eDIXLsu4bfkPP0rFexHmvtcoyckE5NTJscEtzbsrhFQxh8t3yuMVV
vCTdgy7UZeYw2MYGCSc/l2qpb3yxDapaQ98nkjHatwT2zwxyTpnjh2XNefjask0lqh1JulT91b79
7eX6lDzIYUlaRmjPI2eUBknsQO3pk0kV6RmG4VliKkoTzuOeOnQVPqN28gIiGYSmQ6nBJrSgXEIL
qAxHPvXBOaUU5R3OKU0o3ktyGG4jkY+U0crZCBl47dOKksLS5uRIkVxNZomWIHVifyPasi8dbaeZ
7QMHAyxA+U/59a055L7VNPt44xwU+adSdwPpx2x61nKDSTWiffp8gULLmWlya7lkvIIUkUSSRx5G
QCWJ7+g+UdferF/rFu9sLSydESUFPNKEIo6ccc9evSsqa8a7toNOtXLyELGGB6eueOgGalvIis0s
csqosIKr8xOwdePTt+VL2SbjGSta+g/Zq6T6EelmV75rC9uEhMa7ULDDMueMdq2LxLe10SW3huUc
tnbkg/oKwY7uJ5y/nGRyvl75UGMAen4U2CXF4BtaVGACP91vp9KupRk5c+1tbeYTptvmLVxMZdIh
aWJJJYk2o6kkN9c8j60s9tI4tba4QSXWPPnuHALZ4wAetTvbxsk6Nbgjy23A4O3A68HrWdDqEpum
jKFnbagkYf7PGfyqYczT5fUUOZxfKW50tLuaaKWL540G6QjGAeeDWOkyRu9sJhL5hyHZSc9ueprR
1KXz4YY0cIJBvYn0/wAmsi3sy88bNPjb93B9+hrow8Vye8/kXQiuXX7jUt7q7WC6ufIHkQlUwSR8
3QAVo2k73EO+SFomzjaaEleNDFcOcJlhz8v1AqtHM9y0rguiqcKOmR61kqMq0nGMdRKiqztFctur
v+lyzczNFGRHtMpB2KxxnFc1cLKW3ySDz5TnCRkgnPY+laxk/do0jh5HYxhW7jPX2HHWs5oLmS82
x7Ckfyqd2QccDP8AnvXo4XC+xWu7OujShRWmr6sswacsaSks6tImGCgncfxH8qyJhJBLuW2aNfuk
YY/jk10CNfAKrW0YAA+ct+dSyCct88Qcdcx/4GtoUHGTlzXNU6Kbdnr5/wDAMfTGnhzLhShIYxsN
pNb739uyLM/yuV2gfzrMeVSHCj990VSOQaabV2m35G9sZwOAPpWsYWFVmp26JFsYkjEjnJKkqQeA
MVdt/CsOoWCzfbBlcEJnk9yPbgGsaWK5ICJKuw+nGKnW0uYIzIlxKnykE9sGrM1ob2oaDby+HlNn
cWwbb5zIBzj0z3P4VP8ADHxPLo+snTCm+2vB5ZBP3T61y++dIdqFdpU7m3Hmqzxy25juoXKuuDkH
BBpx7Bc+yrARpaJGoAKKAcfSqum6Vb29xPdI24zsTyOg9K82+EnjCbXZpre4k/foq5BP3hjqK3vH
3jqHw9bLbWZDXRfov8OKycWnY2TVrl74m/Z28ITRyzBGyGRf7xHavGdOvtEWzUXizJPk7gH4q74t
+IUniWwtYWXyynMgHrXIsInO5cEetNKyMZu7CVWjlZWBDk9KYoJRsk57VauJUlj85s7ycfQVVMg2
kjg9RW61MB8DYLI43DufSs+8upRqxKIPKKD5c46ZrRLKVwFGepNZN9IFvW4GVQcHvUsuG5M0yuCw
OfXFRS6hHAywqyqpHMp/hNULtHjUNG7xiQ/wkYJ7/ToaolZplCElhEx2D1OBn8+tTKb2NIwW5cmk
82SR4i0pbIBYfr7VWWFpP9STuA+cMe/rV+zdLcMibstyxPQHHQVUeSNrglsBS3LJ1zUPa5pG7dkO
s7fzmEMUqK24DJHIJroRaGSyeNid+Cu0cAHvj0z/AFrH07esM5jURMp3ozDJb8a27aZntftHmxDc
NxRyQ2f8j9K8rFTb1RzYuUm7R6E5lhSMK0LKoGMbeAKrszKCkT+ZGVGWI4UE4qyXR4gHIG4cjNZV
xbyQ5mtGkjRSOOqsa54SU3aRy02pu0gmsZ4pT9muEBkGG46inaVfPppurG8zHCybvNRshPpUtndp
McABHjxgAYLjPXmptatgsvlQzQtLMVXY+ARz37VrJpv2U1udG79nJbmLYy2qSPOnmyzFtwROMAdC
T24xWhPG17eSS3ci7ZiV2L0B7Z/ClsLRL6+YQlFaAAfIMK4XAz+IGar2n+l3chK74EdlVV/iP976
VVSzk2t0OpbmduhYlt4x5UoRZI13AqDzgD0+tNiy0KO1qGjY8jPKenvVtbaKN13W/lt0BDZpXtRu
EnnMAGDHPNc7qWXKzmdSy5WRK7QSB7dJAzcPHjPHeqyaxBO9qpjCsitvC9AOxJ78VBqd4yyjy3KR
liC4bG48cfhVO1CmMGdkKbgoXGCwrqo4T2keaR1ww8eS873Z0NvLBcM7ujGHhVZTjj6Vkz3KwsBC
GlTHDkbR+NTvOPKLEEZ3JGqnjjuarwwC4WJQ+JTnKbuOO9dUcFCL0Zap0kvh/Efc3Mk0UStOS5bJ
AXjbURnu4rqOZf8Aj3dtmcfz9qtXLuj75oVbyxxtOMY9TVP+3QtnLbiJGVuOuc5roUIw2NeZtWS0
Jri+ht7eSDyQ84y+89AeMY9uas6fH/o4VyVlIy+Rjk1Rs4nhvkE6LKjR5XZ823uBWu04kO1TnHGD
wRWsNXciWmg4Bok2ksRjBJ70sRMVqGMjM2eMjtUD3EhlKAHauAW9aJZZBGwUjnj6VZJDMIbmWRo0
Hm45YikgdUhIcrvA5wfSq6rPCB0kXuc4JBqfTxazXsakBXaRQcnjr0qRl3ShHdalEJ0Kwg5YkcEC
r2ta5HcTPZxRJHGoAwq/lzXWajbQzeHDdSJBaeU77YduG28bee//ANevP5UcjdcJ5Ui/fYdGx0NT
e4NWMx7ptpRxgPyv4VKuZYgpOAQBUt4iOkLDDKN2CPpXQ+GfCl14hheWzwzwJuZD3HtTWmodNCl4
dup/DV+L+1lHnAYwemDUs+sX+p6pNfzxiVuXI7Lz1rR8S+EdS0fT7W7miIEjFdg6jjNVra+js9Ll
Jh2MygZx26Gne+otSkrwXM0kksZUleMdM+tRLZybflBIrRtrO2u7BJ4LvndhkPUVRmndJWRXYgHA
IFSS7iNIG+Ru/aovKZ+FPA6/SmnPnAk1ZhCxZPO1uorbYzGqCoLdR0qhcTpHMylNxfA2nsPU1oyY
BCKCue1ZF9G0dw14ZwpjAABGc+1S3oXDVkDwsjOFlRoYSw8rrxnqarwI0shadNrSbtjAnimxXA81
kPENw2S3QAZ6VZkhdJl5TzCPMQqcgLgECsro2sKpRX+zxxrlFJDMcfjSWGml7vBAKoMsmeD+Pp9K
q+as12hDDgYxz19TkmuitGRD5r4QMu0MTweegrkxlXlhpuFRypUpTW+y9f8AhiZCtvEIyhGSdsac
4FZL2UiTXE3k70XG1Hc5yRgcDr/gK1lvLZ3BQgu3y5PGOe/tVZI5rjUyzMVt4m3KEbKu+Bk5xyMY
ry6cpRbb0POpylFuTFgZbcJBKhgnVQqTfeDfj/Q0sscqJGs9qHWT7h7/AF47flUcySXT+TJIOGLL
t42e7Hp07U+Y3V1cCy1C62q6f6PcbdgHrkDH+RVP3kpP5/8AALS5km/69AudLSO48yOYQyw4ZH4I
IPtjpWTLqdzJqqzXNrFPETh0YkoxxjPH1FXpftOnSrbSXDBiQhmJJAX9cfUU+x0jTr3UbaOS5UQF
Wa5ZxszjooY4BbjPbNddFJLmevmdlFLf7hPNubG3K2UlxHbFFEheJRhz8pOQT8uB1NPtl1EQxGMQ
kiLMapFkBeO4/Co9LnndEjYJ5CfLtwQxXPIAP3gQP1q5FcpZau39niRrW3hVnSSTs3ZcjPpxntWF
R2bslff/AIcwqPVpJXKYbUbi5toSfLmJwrNgq3qa0LzSnt4MPc28YYEMWlPzfQYqxDNDqlu3l6VG
zOSEkADKPckgfpms5ZoLGcj+zYZ3VthbGMH24rLnnN2tZrpp/mZ3lLS23QxNvnvHbpIimNjtYDhu
fcVcFvp6wiOZi8jH7wHfqfzpl7JIJGeOBdzSBlAHGCOnPU/4UQW/2i7AWcFgu7kYAPTof517VGXN
BM75tu0r9CO1tWszLcIjY/g3A4x/n3ppv5JDGqxIrscDYwBHvV/UZWEAg+0L5gODFEuT+I5P8qpW
dg/lurRkF23DJ5HpWttbIi+l2SpG9xP5V6sipnCjOQT9aj1Cyhj/ANVGkZQjapyS3rmtIeSUiQ+Y
s0XLhDz+JrNklt2llluGdUkG0EHlsHuP8KT2CLdy7p00TMpjhZWXMkhHP6D2B/OrsTRTb5WZZ7dj
8jhcMh9CetUkEiWcflvGHYhd8B2vg44I6n60RJPp7LGhMkBXLAqTu9T6A00D1NC5tYZLRpFLcLxi
Q1UgtkjQ4LKp6gnIJqWxmciSVTtt2A25JzVSXUoTLtSMnccAg9fzqromz2JiFH38AVVTTWmnDxuN
hO4PSSF7u7EKkx7CCwPr6cda3Ro99pllaSXEWYrlA8bKeoPOaFIbVkNN1Pdw+TcymTHBGOMCopZo
zlMqSDtO84H45oCgynYwP95R1FdRZ+CZNY0o3kWow28qDIVxnK+/pSZK1Z5hd3TzOI1IEYyQFNd9
8L/EF1pmsrbq6rHcgIQRyfpXD6skUOpyomwYG0+XnaT3xmp9LvriwuY5YwW2c49KtRTRo9D67u7O
01C2W3vhE8oG5SRnFeOeOtBsYTKYQImhQbgx4kz0wK5PTfGuuG5aZ72V4wNoyeg9Kt674ln1oRRS
DakYHI6t6ZrNQcQlK6MCzVrYMY8At1qRwzNncBS/KF/XNSDyyPmHP1pmTZQbmQr3J4+lSEuGyecd
aNygh9vzH9BVhZ4xCeB5mfzrVmZHGC7szjAIzzWHqszLcFDjyjjJzg/Stxp5lbccbjwPasbUH8rW
Io5XAXCseOp5rOexrDcrllnDfu0KxHMQA6kcn/PvWjJbeZYGS5IEpXLOxzj/AOviqlnZfai8qoBg
7lU5GfX86NXtpZvs724AtyAW57+/4VO2rL62TKYUCOOZDkL99m5y1aFhdvFmSTJicOm3OAWxnPtS
2dkpQSSR/Kp3AZ4J4/8A10kks97dE2yLsjzsUrwT6151eSlLl6dx15WSptabv5j7hpLOyIyFlBBR
9hKqMcirlis0dnE56yjc7EZIJ9BVWwk1C9kkhvQEgQfMu3GfatKfbcIkEcoTzG27s4xxXLiJa8n3
s4as9VD7xhktL5zAEkt4txBdjuVz6nHeqd21mly1u2+XHCygFlJ6gZzn9amj0srbTpbSzZSYbkD5
4IOSKmtILawFqoj+0yJCzSLdLiNWIBGB1JGetOnCF203Zf1c2pwi7tPRGLeTlQYXil84/dDDlm9S
G5qzP566cBd2MwbeTKzDjnof/rVIbdGeS6b5NQLBoh0XHrg9quR6jqF5HNbXGzkYZz92rq1duVaI
qrU1XKtERJJHIkUaKyiNf4wcdOMetVpdOnLGSIqXZ2CykcMo9+uBkYq95BtoUaLbNGgG4jnj0/A0
57+2iVYLlldky0KJ2zg8+3IOKxU2l+71MU7K0DKtrme3W4iF06yO42xqxCgk8ng9O9QTm5iiFpv3
MzE7SpI+oz296deQPLsuFiI4xFtxn8akSe4eY3CTNJNDGEAdMGulWS5lubqyV+pYuI0Szt1gcNJt
DyZbLKw71SlvIy8s6p++J2DOeW4wR6VXP7qSMTAqW5bHfNTCMyyQ4wPLYsUHPHqff/CuzDxlGNm7
nTNcqUZbrcnS2Lxt5gPnOMs27ljUxIyIg4DhckE0gG2cSA4G0BQajKvLMAwVW5+Y9MCutuy0MLXI
EMw3LOsiox37o+uKguLtZPMiDMYzgKxByB1NTedI0jQbfmweScA1QhdXZY3j3fMSRjnpWVzRI1LB
mkgTdG53DaCpIJHrVi1iMhigBcJjl88uM5H0/wDr1SjQrZ+UTsZzhETqef8ACr9usscCXGNqJGQO
cEen9KpEtlrVnSO1Szik8uQgAADtWPLbAso35ffkoDyQPeprote4kkYRs+DsAyelOMTxQiSYjzFP
yEelO1wWiIRdw/aJLiRCjluFz3xj9K3rPVr+5t0JZpVjT90p429eKyGMN/cLELdIth3eae+KmRF0
+zZ7gPLI8p2+WenBI4+oqVvcHqrFKG+lOoSsRsLSBnJOMe1dFLrcj2BWC5xvXYArYzn6Vy90PMul
jRYwWy5zzu5x/IVPafalJaMrxgHjgU730sNxW5fit2RZHmKsxGB+XvT4Rs2MuCuB29qkm5gYkYIX
NCDEETDuBVozbHpsliK/dBPQCnyADaI2L7eWz1NQMu09ec1Yij/docZNDFcQMZGRR1NTPAVbG7Ht
Ve3837edgzs4rQZZHYsVzmkMyMEnuBjGaZvG47Tz70UVsZmjDGXAkYA4HIrA1O3NzqLSIMAhVHqK
KKztfcqLsaMMn2aAOIy2Tjis7VRMGixCBG2d3zcdu1FFTU2ZdJXml3LJeF4VhWRmllZQI1GMDnr+
FTW0MsUvzPsgQ8DcOB6UUV4NaTTS7mGMqN1Gu5oSSKIWf7y47d6rSSoBFbSxjeWGCBngH/8AVRRW
FLRtepyU9NPUy5r+KC4tmmt5ltmYCd1P303Z49Dgn86lGky3ttHfmVniYk7Wl+ZVzxn14xRRXZXk
6NNOHVno137KC5OpqXOnW94sIjkYi3Tufmx7Gktlu4LZ0TyX8wY3N/CPTFFFcy1vF6pHK23o9bET
QQJcNtk2nGGJHy/Sqskdnf38s1xEXEcfLR/L90gAj1zRRXRBXuzSn1GafDCLuJxcBoyWL9vLA71L
PerJIzxLlG6OBw3aiitIQU615HVS/i83VL/MpStBBKsrt5ysC2T1XHbH5U2FDGrSJw7ruJ/u5/8A
10UV6kWDG/vXjWdpFaKPhtp5z649aLZYromPLDad+92496KKXUFsxfIf7WGCedDuyuzkCqiQtM91
cMVh+fGc/pRRRYLl+wsHaR1kZj5YAye4q/qTs7+REBhFBK5wCT0FFFUlqZyd2U7ieRFdY2y6AblA
7e1FpHPcXavJu2cYDelFFMeyF1GM20BjCHazH5lXPX1qumTDcNM7x+Wu1SCc7iCORRRWbLjqirHE
zSJMCSsKgFsEenHPWtx5YLZ47VRu3KMMOaKKadhtX3IJLoT3Rhh3FdvLduK2ILCUWyv2ZBj8qKKa
dzOSsUyhViOpxxWjaoyKqyDAI70UVT2IQ+K3SBDNJKEIJJJ701tTswcLC7j+9uxmiihK5R//2Q==