20230523
00312500
1.0
FALSE
klesh
002
0.000
file://\\DESKTOP-62RSML6\C$\работа\Вышка\Клещ\клещ\klesh.shp
Local Area Network
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/3.0.0'><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>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
DeleteField Муниципальные_образования_верхнего_уровня_России db_j4c1v_h "Удалить поля"
DeleteField Муниципальные_образования_верхнего_уровня_России db_j4c1v_1 "Удалить поля"
DeleteField Муниципальные_образования_верхнего_уровня_России pop;rur;urb;st_area_sh;st_area__1;st_length1 "Удалить поля"
DeleteField Муниципальные_образования_верхнего_уровня_России st_length_ "Удалить поля"
DeleteField Муниципальные_образования_верхнего_уровня_России oktmo;oktmo_num "Удалить поля"
ExportFeatures "Муниципальные образования РФ" C:\работа\Вышка\Клещ\клещ\klesh.shp # NOT_USE_ALIAS "region "region" true true false 63 Text 0 0,First,#,Муниципальные образования РФ,region,0,63;type "type" true true false 189 Text 0 0,First,#,Муниципальные образования РФ,type,0,189;name "name" true true false 123 Text 0 0,First,#,Муниципальные образования РФ,name,0,123;admcen "admcen" true true false 52 Text 0 0,First,#,Муниципальные образования РФ,admcen,0,52;note "note" true true false 175 Text 0 0,First,#,Муниципальные образования РФ,note,0,175;fo "fo" true true false 33 Text 0 0,First,#,Муниципальные образования РФ,fo,0,33;encephalit "encephalit" true true false 254 Text 0 0,First,#,Муниципальные образования РФ,encephalit,0,254" #
20240315
13372300
20240315
13372300
Esri ArcGIS 13.0.0.36056
encephalitis 2024
Шейп-файл
0.000
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
FALSE
FALSE
klesh
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.
region
region
String
63
0
0
type
type
String
189
0
0
name
name
String
123
0
0
admcen
admcen
String
52
0
0
note
note
String
175
0
0
fo
fo
String
33
0
0
encephalit
encephalit
String
254
0
0
20240315
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3Lad3
XIpx6c9KQZxz1o4AwT2rU57iKVydtO7VXBwcinGRj7VbiQpCmMgHmmU7exGKbTV+pLt0CinsAVBH
brQiZ5PSi4W1sPRQF9c03yjnk8VJSBgxIHOBmouacqY3y1xUZGKm6NhsYxmmsVJO4/SiMrsJQsrj
AhYZqRF296UYA46UtNsSikHcc0UZA70VJQ0HdnggdKVmCjJOBS1DKQeRvOOu3pTAmpQuQWOcdgKj
iy4BAxnk9+asAYAHpUSdtC4RvqyvkltpHB6Z604KB0FSFNzbiTj0pkiHGUJBHbrmhTE4PcQqG61G
YB61KDkA0VabRDSZXMDDpzT44gvLdalopuTEoJBRRSEgDJqShaKTcAQOcnjpS0AFFGOc0UAFFFFA
EUi4ORTKnYblxUJUjqKtMzktSJhg0lS9ajKkGrTM2i5UUhycelDSEjA4plQkaSlfQUDJxUwAAwKh
BI6UgODmhq4J2JDHz1qOpPN9qjJyc01fqJ26ABk4FTfdWmIQW6Cn9T7D9allRFGW46Y6+1K8mPlX
AApjErzyC3A5FMALDA5x1PrUJcz8jRy5VZbigMw/qaeqBfrTqKq5NurCiig8ikMTneOBtx196CwU
gE8ngClP0zUBKxTrKwZgTjgDgmgCyqEj5uvoKcAF4UACl70E4rJts3SSCgnFJjIoA9aQxevWmOBg
54FOJwMmoWYnlsgcmmlcmTsKoIUA9cUtFFamIUU3eoYLn5j2p1ABQow+SeCaKTqSCKAWgsmwhzuw
2MHmm5DDKccdcUcA4x2zTqSVinK4YIGTgj1FFGB6UUyQooooAKKKKAI2j7j8qZtb0NT0VXMS4or0
UUVZmFFFGDjPagAoop6pknORSuCVxoBJ4qUL91PXrSqoUYFAZVlGc5bgHsKiTNYR11I3GCecgcD2
p6Lhfc02QYfp3qShfCD+JhSEFuB+POKWnoMAmpbsi4q7IiSq8g5HWgfKvXNPxuZqaiqW5x6YNHNo
HLqORVKnKgkHqRTyASCQCQcj2poXa+RjBp9Zs0jtYKKKKRQUUUUAMaPLbifYcdKcqhVwKWgelO4r
LcTYmMbR+VR+W4k+XbsPXPUfSpAQTjPNKCD0oUhOKZGIVO7eoO4Y/wAmmkKg+Vuhxyc5qao2Hy/j
/Wmm7icVYSijknjp3pGLKAdjHPTitLmdmHR8jOcemcUDA46e2MU+IEJ8wwe9JLD5hXnHrU82pXI7
CUUrqVwVXI74pAcjIqk7ktWCiiigQUUUUAFFFFAFZd00vGfLIyTjrTxEi43HBHJAGeevWpEkZTtd
SW9iOlR7mETZxuOcemSe9ZyqGippbiDaxOxwRnrUqHjaRyKRIEMJAA3Y+93qQRlR94sferVRNEez
ad0MCANkU6kBB6UEgHHP5VQkhaRlDDBpGyRx6cc96QuADyOBnJ4H50gDEm7JfcB22804MD3GaBk9
FNLEvLEr16kjrSbSGk2xHGUIzjIqVCxQbuGxzTGiz90geo7UREkYxwPU81MndFxVnqA/1tPKgkHH
IpjZEnHU9KVWO4q2M9c0mUn0HN05pfWms6Jt3sq7jgZOMn0pQAGx0GKkoWkzzQOx9etIe9ADs0Uw
HAB7dKRnK4ApN2Ak9qYzY5FIJeeaf1XOPpmle+wEGWBz3pytjktjmmtnOTSVlezJJ94P4UpX5fmw
eeajiXkn9Kkc8cVsnpcaEjGBSg5FIPu4p3bj8KYwzRmmBl4I6HBFKxIHHWgBxpuxfTr703L5GOR7
VIOlJMW43YvYAfTio15UH1p4kBpD5ZP3R9aqM0iZRvsJSZ+v5U/aowQOO2OKRFIfjGOmavmJ5GN3
D1FLUvTgVEVHpj/gWKOcfsyBySyH35/KnHGDnpSEF2LABVU9+/rTwpZAw5BGa5pQktxp3HRMFt1J
zgenakE2eVOQaZCVMWDjbk/TFRTXdtbE+fKsY7Fj24HJ+rD86tLmWjBtll8HawODSjOSV647Vk6t
qv8AZhtXEfmRysdz56Lx09+f0NT2mq2N6wFrchzjIUgqfwBxVc/L7r3K9lNxVS2hfUDqTx/OpeCO
xFVyxI5oaYBAq9f5VLqXYlZFj6UVD542HGSQOuKVZCFBbpx160cyY7kjHgjvQDxio0bc2D9TUmB6
CqTTC5Gvzvn/ADin7fn357YIpVUIMD1zSim2JLuc/wCK4rg2lvcwM4+zybzt6A9mx7H+ZrDHiO7O
qx3rjIVAhiDYVuOfXHPP5V2eoW32zT57fIXzEIDEZwexx7V5tIhimkjLKxRipKnIJBxxXLWcou6P
cy2FKtFwmtV+TO00vxBLqt6IFstiAFmfzM7R+XrW4exrF8K+SdGVkTEgdlkJXBJySOe/BFbW9S20
EZ9K2g3yq7PMxPIqrjBWS0BunSoip3YPU04y4YjHtTozlevIodpOxz7jVjIPODUvaik6fSqSSGMk
K4wRk9qYmCwzRjeSR+VSIgXnvUaydxbjlH3qR+fzoDjzMZ6ilI49+1aDQi/ypRj8f5Ui8Clx3oAi
QAFlP3hyPpUm/DbT17e9MkXofTpQzDYNwPbn60AJyAduRQHY8ZFITsfHf1/z9afwq7iOTWetxAqE
c9MUBAHxgkUqtuAz/KnZ4z2qlFWADwBikHByO9BPPFA64/OqGLnjPvTWUE5Ip3p6A5NKpyMg5oAg
ixIcLgovX6+lSO4HynhfWiLHlADoMj9ar3J2MWZgFAzz0ApVJWISsihrII0e+XDkbDwvof6dc+1c
Fb3bxHyAwMEpxJFjAPf6hhgY7cdKua5rA1K7aOMZgjXbE3XJPU/jgVmK4kbaSCpBI2nPoO3+ea5Z
Tad0e9g8KvZWqddfQWUSEJCs0giQ5Cbs7dxxx+vNT2l2LS5SaKUKYyDHk9sY79R1FVZAXjVdqjIy
BjIJ7Z446mnF9hyUfYpA+ZhgGobbPQUIJOKWjPR7HUk1HSmvbcRsyq2YzIMBh2J7f/XrI0PVpr6+
mSZ1KuPMTn7vPQevBH5e9cq+pXBsTaLKVj3nIiBUktwQx7/l3plvM6vHIjsswY/MpIwPb8P51bls
eZHLk1OOl3t5a/qeovGqoMNmnLEeWJB9B6Vzmj+IbUWLw31ywmU/eKlsjPsPwplz4zRYitrCS5cq
JJB8uB3xnP8AKtFKO7PO+p1udw5f8vvOie8t7e5ht5ZAssuSq4PIAP8AnmppruC3hM000ccY4LOw
Ufma841LWbnULmC4lEShcAPGCCOpHf1qq0ssn72Z3d/4i5ySOmefYf5xS9tbY7qeVSlbmdu56XBq
tjcy+VFdwtIRkKHBz9PXpVtSGAIIIPIIryd5VwQrqSOSM9quWd9eWSuLe4aJX5ZV9aFX7o0nlD/5
dyueliVCxQOpYHBAPQ+n6iuJ8VSRnVFiSIKUQEuOr57/AKYrKhvbq3kMkVxIrFtx+bIJ9SDwfxqK
6vnurl5bhsyHAJC8Y7dOlROrzxsjbC5fPD11OTVizYXd7b3CLZyEO7BdhPysc8A5/n1r0JomDhk4
9a4TQEgl1SMSru+UtH6ZHOa7ZZ3X3HvTpNW1OLNpQ9vZK3n3H5yAWPXvT43TftXJqL55QeOP5U1A
VfkhcdzWl7M8q5dopAeB3pJXSKNpJGCoo3MxOABWxZHLLswF60kbStyNuM81hnxNp8kgjVJUBbHm
Mox9Tzmi68RwWl0bfDOqD5mjxw2enP8AjWDmr7mv1atzcvK7m+8Y65245yKakhdOemcbqytN123v
p3jXzQwGQHwM/TmtEShcxgD6g1cZp6oynGUJWkrMsdxz9KUDAOarPKP4TnipopS6HPUU1NN2EmOP
3sUAYJB6EcU1uWH86XOcfmKsY0D+H8BTjhh+FBzkEU4HH0oABwoHbrSfwkVHvLDAHTihnwoCg5PJ
+lNJi5kiT9c04DBpqcAEmh2x0pDAjIIPTvTPKH8JIHpSGT5c9B6mmrKpHD1ajLoZynG9mNQzRuRu
VlPQdx/jWX4klit9GlkvGmKE4AjIBz/hx0PpWqYzv3jhj909cfhXNeO/MXTLZnRWAlwWzgHIJ6fh
/nNKo0lsaYaHNNJu2pw5kVn5DhuVXDZwO3T/ACakEhRdxbAAwAMA+4wen0osLG91Gcx20bTHufQe
pPQda2tGtLKG+NpqUMq3zIYwGAKKSMhjnH9fwwK4+S577xCpp9Wvv+Zz+4KSCzKGY9z1798d6kBV
iH3oQT/EME9D9O2PzqU6XqQn2LBksVBdW+UbmwuT3B7HvUw0K/8AMWGRUjuHyY4XPznGewPHt2/S
hwYliaa0uVBIoBO3+E/dXBz1HT8PWnho1OAELHAAxnPvn/PSqzxvbSPGwG9DtJQ8A9Ooz+f+FMMr
Rx43Ybrj/Ptj9aTiaxr6XLSzEx/MAFGTjdtz/n9aesmPlZgqk5BA/X2H+PvVFW+4GKsnUBh39c9x
1psbgySAtw5PAGOcdf50cg1Xatc1Y8MWVjuIGCSOv9PTp3pMO75BVwOCegPtVbzsIBgqMfKOSP8A
P1qXzQScM+cgbBkfXH4c1FmdKqRasTbVl8wYweAQR3pqhfmkZWAbpsJwfy/nUZfeAJCAzLnIHIHa
pDN8q9V4PAHcds4x/wDqpWZalF6v+v6uLtVRh+cn7rNnH1zTo2byw20bT83B555qEecqCQIOegPO
O3rTVm+Qq0oTaNqgDGe3fNFhKaT7GnYGFL+3kkkMcayAs6tjH/1vX8a7G+1S108os7nc/RVGTj1r
gPOKqQQm0dxxx64pDcSSEGVjJINu4sSW/WnG6Rw4vCQxFWMm7K2p2Eni6G3cCG3dxvCkuwXIz1H/
ANetK01u11VykatHKoyUfGSPbFefMztMrJhdoO7PUjjitHRtOudWnb7LIiNGqsZS2NpOcYI57f8A
16uMpP3TDEZfh4U202rdWehMsixg7tuBjFed3sr3d3PdujsHl2lih45woPoRwOa7rUtVhsbctKSQ
TgBRkn6U2C9013j/ANNtXLnCr5g5bPT657Vco8zsmedha8sO3NRvfQwE8LTSaU8jllumXdGgI444
U59f0rDngltZ2hnQpIv3lJBx37V6QbqE3X2UP++KbtoGcD1PpXF+KwsGqJNjCTRg7hzuI4J/LbSq
Uko3R6OAxtSVZxqvf+tPIxhJIr5iZlYZG9WK4+mOasabcCw1FbtgznnfjqwIPH54/KqS7ifMQ5Uk
8dM0/wAxc4JwfQ1hdrY9adKnVT51vodxpeprqccrCPyyj42lskjHBPp3/KtW37ntiua8I2yyR3N0
CCdwjU57AZPH4j/PXqwqICzfjmumnF6M+UxNKNOtKMNkBACkZpN43Z5wRj7ppAS53EYHYU3fhyD0
rqjC5zSqW2HmUdgfc4ppfIG1hz70nmCmhz0UAVXsyPakgAAwKQ4Vc9j0HrT1XOOeP51HJzlzjaOA
Pb2pN62RSWl2JJMVG9mAHTC81E1yXiJUcdOaoMSzEnvU0Z/cMDXR7KKRyutJsbJO7nrTA5A9abRW
1kY3bJ9E1ey1mOUWpmBgO1g+R1zyOenH4VYu7GPVLaW1uCxt9wwRjJIPr7EelTyQwqUAVUy3O35c
8Gpk2bf3e3b/ALPSvN9T172d4mDonhuPRprtIrmVkmjUHA24PPI9/wCWa0/7KtGt/Kkj8xjCYWlf
lypGDk1NNIolRd2CPmOBk/THvz+XtUysHUMpyDRYHKTd2JFGsUSRoMKihVHsKwX8Nvd64uq3V1sl
TbsS3GBx0yTn3zwK6ClosJSa2OG8UaZpunSx3sDxJL5uZYGfdvzyTtOfXvxg1xdybe5utyb40OBt
4J6cnGB37ds+gr0HxZoN3qJE2mBFlIJmO4hnxjaOv1/zisrSfBclzZyT3rbJCo8mMqybW6ndn8R+
Oc1DTuddKpFQvJnLzoFVvKHmRKcK5HX5cgEcjOO1QRx77gKAMvgKGYAe2cnp+nNalvaXE11DZtPE
0fmeWjRtuUZOeAM+v+cVreH/AA5cNqxW8tQUiX94swOCDjoR0bv24/Gs0rs65VIxhdu7Rjx6NqMx
ZIrVmEYDkIy9CMgjB5/D1rZt/Bd88cL3HliDC70BPmBOp4I689PWvQY4o4UCRRoijgBRgCnkA8Vo
qaOOWNqPY85u/Cd5HqcdpbFHjdDIkrrhAQTgZx1xzj/9dS2fh2eHU/s15b3DfOMTRHKbMnPJ47j0
PHfpXdm2TeGQsg5yFOA2cf4VheMYboaFI1nt8sMGmQjPy56j8hn25pOnHcqGMqtqLZxerXcZnEcV
iLdYgECZO7OerZ78H9KyxkzlWEZAHQ4Pp0469PrSyTSSyfOzFxglm6n0zn8KYgMsqgHayng9CPXv
zWPmekm7KJMufNzmT0DEE8Y9Px/nQIiZgGkOBnlh0OccDt2/OiSEkD5uW6ZGOM9Mde1WeRiNyAmM
bvQ/0NS2dEYX0Y1fljJ27cKARtxyf8irVpqNxZ3G+1lliYjJbIO4Hgcc1C+7cIxIpbqC3/1utUpF
MUwCsQ5AUryceh/SktS6tkrNXXU29U1abUyTcrGAikAxqQMnr1J9BVNyzDylCnjBJ4HvUPmEosb7
Qf7vrjt70qSBWdt0fHGFBPuaTu9WVTUIR5IaL+maOn6jcaRceZAIjuGwqRgEZHQevH61199bw63p
ltNMTA2zzFIIIUkYx7jJHHGcCvPxcBQQc7j/AB9eO39a0dLSfVbuO0kuWaIgnJJYAD8cD09OauEm
lZnFi6MHJVYPltuyqdoGUYL3Pp9SKFZ2PBUj12mumvvB0CwKLW6cOOSsgBDD0yAMZ/GuYZpULR7c
MufvdePaolBxOvD4unWuovY6/wAK3E4gMRt4kt1yxmxgu2f144/AV0BlD4yflzwO5PvXBWuuXdpa
rBE6OAflYrkgenp/+urKeKZkgizCplKnLE5JbHXAHr/hxW9OqlZM8XFYLETqOUY7vv8A5nc1XY4Y
561xvh7Vp7a4njvLhjCY2kYuQzMQOxPf/wCtXWpKJ7eGcAgSIGAPoRXbSmp7Hl4vDzoS5ZEtOT74
qJSfwqRThhWrRyplhidiKhxu71TnfyUYIQVzx7e1WJX2RK3Pp9BWTcSlpAgbIGMn2rOjT5pXNq1X
ljZdRVw+QM7hyRRkhSvrTCueQcHsRThIOkuQf7wrsscIAZOKk8lvUfnQIS33CG+hpNrjjIH41Nx2
J2W+mUbZYXdQCo7Bumc/Tdxj8sVNLBdvIpxbuN67t46LznHv0xU6x43bGAzwCwyePegFw3zyY7dB
gGvOPWJUVUBCjrz1zTdjRkmMKQxyVJxz60RzI6qQ65YcDNPLKvU/hTFcQPltpBDelK33T60xMu/m
EYxkD6f5FSEZxSAhJd32AbUzjcp9v05pxgTZtXK+4NNVhCwRyMMxwc+vP+NSCRSQOcnpxTswuilZ
6Pa2HNtGkTFdpaNAC31PJPSrYjbzAzODjjhcZqWkpDbb3FFFFIKBC4pjoskbRyKGRwVYHoQaVmC9
TgUv60Acq3gTTxNHItzOiKPmAIyx+p6D2xXJ3ui3emTMk0THGAZACEI/3sd+fxr1OR9gB2lh7d6r
fu7mYq0ZKjHUcZ5qJQTOuji503d6o5DT9GGo6OY5oTBslDCQJhnU9ee/J/QVNJ4JVLwSW923lEHI
KAkdOOoz9fYda6uWN1xzk5yO2eOn5VLHMpTngjqKORWsxPF1FNyi7GD4d0maxs7mG7gjG+TOcAhx
gfp1xn1rO1nwpLcz77JYooyCuzJUA+2B0/wrsW/OkU5H060OCasQsRUU3UT1Z5vqfhm+08rIwjkh
OMvGx3IPfv7cVXg0O+u4HEMJZQoxxtLDPOM9eK9SKgkHHNCqFGAAPpU+yVzeOPqKNmlfuefN4LvR
FB8/7xwd4OMR+mTnJPXoD3rp9B0U6VFKkk3mhiGHy4weh7knoK2HB3BhjAB6nFJ5vzFMhjjO4dKt
QSMKmIqVI8stiv5XzHOevp1rnta0ewgtr27/AHiSs+7dhm69QAOOT3OcCusVcncahuhmMIACG4K4
61DikmzKnOVKXNFnlcLBQ6ADzSxyM/jTQxIXKjy8ZYqDn8f511kvhGO3e4vLq5b7LEHlEcIw2OuP
bjiuOVF27FMgbIBB7DPHP41g4OO59HSxUaukdl/Vv8zd0yNG8ParM4BcRIoL9uTnH5D9K6Lw5MJ9
ChUkloiY2yO/UfoRWfdaamm+ELqJ4900oQyKnHzFlAAx1x+tbsV5by20ctumFdRjIwQB2I9R0rvo
03FpeR87jsTGqpPo3v6K34ktOD9BVVpmwegA6mkWcRxlzuySQAwwc5x3rs5TyuYlvLgJH5YOXNUB
79e9OZScuxyx602tYRUVZGUpOTux6Ng4PSnFh0NQsSBkdaex3AN6im0K44LgZRiufTpT1lmAwCCP
WocnGKSi19wubqyEymNvlCgFSvcflxQ4V1IJYg45xxxzVZHKgFSDgAA4wAPQDr/+qpPOLg7yExxt
PJPHrnFeWldnrydkOZ1QbT8x6k1m6ZJqSpI2ozQl2b5UiXhBk8bj14I7dqvJbM2CxKj3oa2x0yR6
1v8Au09zm/etOyLKXMWwZIX2Jp6yK5IVgdpwaztpCkGNmHptpssawyNtjKMOSY27dvrWU4pPRm9K
TkveVjRJ3Oc9QcY9KI1LYYnBB6CqNtLMJMun7px94EEA1bYuGBQ9jxgnNNarQl6S1JTlmKhsDA6d
abHuiDeYTtzwxPT60gEjnnK5GCR1p4LI2DuZc8Nxx7VBqOWRGOFdSfY0oPOO9Nk+7ux93mq91c7Y
cDKk/n+HakBYZAWVj27UjuFXg/MRwKzhE8gLSuSV/wCmnQn3ppSONi8P7yTIB2k/L9ef5Cgdh4ed
pC7ktgH5IyD06VbhuIhhDvRvRxioILSbb+9kXJ7AZ/U//WqR7QyKyyysykY2gBaQD/PjuNvlyqCD
nDDn8vxqg0l+zkILbzQGx8xA5+729eD9PetCK2jjHCKGP8WBmnmCEsGMY3YIBxTAqW8d7HJiV4mT
bxtBzuwP0zu7+lW1ODlsc96aIh3L+n3zTyjKPlORjo3+NADs801iQ6KMDPrSKG3feIPfGMD2pwAX
PUnuaBCbCWyxz3x2FBO7GOnrSmQcAcknFNDBR14NAEg6VBNJ+8CYxjndT5JNiBgevtVOWSQjJCgn
3yf/AK3FS7t2Qmzj/FHiK4e5u9IHlpESgDg4OMZIP5j8se9HhvTPMC312q/If3K4xznqf89fpzsP
pdhI6tJapLIrbvMkyzE+57/Q1bIPpj8K6IYZ83NMU8wtRdOkrX3ZfjjinjCuqsMg4YZGQcj9QKZN
AHcbFxnJ445ogLJGCB+OKrXN027y0JGBgmtYxk56HHKUVCzKxTyQpumE04bcEXhEPOP97Gep9M4F
N3M775OT6UmOc9Se9LXVGKic0pOQ8vkYxTKKKZIYzS/wfQ0u7bwvSjqp+tAxnQ/WloZcdaKBGm5c
yLxlcZ4Gc/4VPbSL5jAYwcFRVOMMhPAI9xSsVbHyjj2rjdPTlOxVdeY09yg4BHpj0pvnKXZF5K9c
dB7VnDOSecnrUsWxmRXUYY8gDgmspUnFXN4VlJ2sWs7UJdtoPqeBVe4WKWaJRIASSpx1I5/rVohM
7QoBPUAdvelkVTCe20ZGO2KyNykqtbGKMsTHnBPv1/Dp+tWzggHPcHNLsygzgtwc+4qslrEXJQlc
5DJ2/LtVKVtCJRu7lhpimNqEr6E8/hT45EnjypDDoR6expFRUUBfwA9qiVMT/u8DA+Y46+1SWSu5
iHdx6d6zlt1uCxlIkbccBT1HoT0/Sr+043FyCe/GapzTSQF1+8pPy+xweP0/WgBHhiEWElKAjj2P
09ecVYtJUEapIESQcYHeqywvCkTFscjJHOSev61M0YYkPtK47Dn8DQBeqJphnCfOe+DwKhjtY1XB
yy5yA3arI24AA4oEQO8vUsUXpkCntHkFt7EHBxngU5wpUhhx7U3y1Bzl1B9GIFAEQiZCGhkYH+63
IYfj/SpI5ssVcEEdPQ0rIdqgMSQcgk9qjKiNi4OVJxg9u9IZYXue3b2prk4AXqT+nemGUKckHDDj
680ueQT19+lMQQLu/eE5Y8UhDHIOd2OuOlSxrsQLnOB1prg5AP3aqO5M9iMqOGwWIPrzUMilh5gU
bGPXPP8AnirNRK7ugUxbV78jjntV2s00YuzTTKir82cdKXaWGT26D1qbMa/dDH6DOaDIirjqSMjI
xj0rV1OyMVT7sc42pt4A6n9Kx3bfK7e9XLmYx24TbyeMiqIGBitqEWld9TOvJN2XQWio2c5wKcrF
uorexgPAJ6CnqmOT1pu/y4ncgkKM8daikvYl+XLZyq8KT97pyP51LfQZIRg0lVvt8GGO5jhd5AQ5
xnHp61PHPGXIGSQ20/KeDTuIlT5vlPSkKEH1p6gfeFOqblWNd7aMIeMYHaoGs3HQg+1XW+4fpSr9
0euK85VJI9OVKEuhUW1xx3pEjIkc8gqvAzg/56VZkUsCM4PBH1qvB87Mz8sxJx2/Km5SkgjCMGTK
rKoK7cNyeCKerA+x7g9qX+EUhUMcnOR6HFZmhGDGkjR7wMAEAnp7fp+tIy457jue319qVowh3jJ9
ec0oYBQDn2I5p2uronms7MZ5nlPHu6FtpPoe35/zpxG26z3YVFIBOpQnAHOcfy/nUkygqrll3ION
3Q59aRW491Vcvk56VVdd0kTrjYrYAB7n371YATZuUYLLx7U2JNtvAm3JUADJxyBQA6WJXQR9+Me1
VrpHgi+XdIi4JULkmrygglmPJ9OgoPPFAFWGeKVf3bq+e2easZzz/Oqr2jIp8rGSc5OM/wD16hZ7
yGMCQLKe7EbP8f50DNHI4Hc1GzLnaDz14rPS6nk2OLNgMZ7n9cUmLgt9on/cqv3U6nJ6fjjik3YR
fEg/D69P85qpcTNPOtlEMkndIeyjIPJ9xmmQyy/MzgBju6fX0/HNSxQ/6QZ0OCzbmPqMAf0/Sle4
ky75aqM98YpkbsZMMB0zTv4ck/iacoG7GB71QxS+OnPNIx+U5Ipwxkn8KgeQvmMcMw/IULcT0Wo4
HIBqOUAqExx6CpOEX0AqrLNjLZA+vpXRFXZyzdkRSybSP72MH8sfjVcsWPJzTWfLEnIz60Z5xXTG
PKjllJydx95zD+tVGbC5FW/vjDdOlVdpC4YGrhorEy1dxisvcVICM5xkUwJg5HP1p/arZJLuUDrU
Eqs5yrdAcKehPbPFIpOSDSSReYynzJF254VsA5HelawXuRhZlYZ8v7wycnpjn8c5qdCwALY3d8dK
jMGSD5svBJxu65GP8+9P+4vc49TRuA/ceccZo3H1poJI6YpaLAdI33D9KRTwB6CiivJPZBhwPrVe
YbJsr9aKKuG5nU+Fk8bB1B/yKceKKKmSsyou6TE6g5qEK0ZK/KB1B6CiihOw3FPcYyuSXQ7gflBH
qM//AF6rG6kU7SOQe5oorej7zaZz17w1iySOdnf5zgH0NWQXPy5UMeQeetFFFWKWwqM5Pcn9PSjt
RRXOdQnejOeKKKAKzfJbllzvLbev3jnFQRq10wPOyPlcnqSP8/nRRSkrhuAQxyfMmM5w3P5fzqYS
RorBnVT39aKKlLUSWosbGTKgnAPIPFT7cdOPSiiqSGNLrsIQ7v8AdqvKzQQu45fHHpnsKKK1jFGM
pNlVrwZ+YsfbFVnlMsnzcJ2FFFegoJbHnOTe4b1PGaCAzfSiihqwEqHqPxqByc4NFFJbg9hhOaKK
KskMDOaKKKACkIz1oooAWiiigD//2Q==