20220825
05360100
1.0
Item Description
FALSE
CreateMosaicDataset \\vmimgserver01\E\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.gdb municipioscundinamarcarural "PROJCS['MAGNA_Colombia_Bogota',GEOGCS['GCS_MAGNA',DATUM['D_MAGNA',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',1000000.0],PARAMETER['False_Northing',1000000.0],PARAMETER['Central_Meridian',-74.07750791666666],PARAMETER['Scale_Factor',1.0],PARAMETER['Latitude_Of_Origin',4.596200416666666],UNIT['Meter',1.0]];-4623200 -9510300 450265407,001579;-100000 10000;-100000 10000;0,001;0,001;0,001;IsHighPrecision" 4 8_BIT_UNSIGNED NATURAL_COLOR_RGBI "Red 630 690;Green 530 570;Blue 440 510;Infrared 770 830"
DefineMosaicDatasetNoData \\vmimgserver01\E\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.gdb\municipioscundinamarcarural 4 "ALL_BANDS 0" # "Name <> 'FunzaRural'" NO_COMPOSITE_NODATA
DefineMosaicDatasetNoData \\vmimgserver01\E\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.gdb\municipioscundinamarcarural 4 "ALL_BANDS 255" # "Name = 'FunzaRural'" NO_COMPOSITE_NODATA
BuildFootprints \\vmimgserver01\E\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.gdb\municipioscundinamarcarural # RADIOMETRY 1 255 -1 0 NO_MAINTAIN_EDGES SKIP_DERIVED_IMAGES UPDATE_BOUNDARY 2000 100 NONE # 20 0,05
DefineOverviews \\vmimgserver01\E\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.gdb\municipioscundinamarcarural \\vmimgserver01\E\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.Overviews\municipioscundinamarcarural.Overviews # "961916,988736393 934127,921700004 1031771,69289983 1062170,55157893" 0,25 -1 5120 5120 3 NO_FORCE_OVERVIEW_TILES BILINEAR JPEG 80
BuildOverviews \\vmimgserver01\E\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.gdb\municipioscundinamarcarural # NO_DEFINE_MISSING_TILES GENERATE_OVERVIEWS IGNORE_MISSING_IMAGES IGNORE_STALE_IMAGES
DefineMosaicDatasetNoData \\vmimgserver01\E\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.gdb\municipioscundinamarcarural 4 "ALL_BANDS 255" # "Name <> 'FunzaRural'" NO_COMPOSITE_NODATA
BuildOverviews \\vmimgserver01\E\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.gdb\municipioscundinamarcarural # DEFINE_MISSING_TILES GENERATE_OVERVIEWS GENERATE_MISSING_IMAGES REGENERATE_STALE_IMAGES
municipioscundinamarcarural
file://\\vmagsimage11\agserver\imagenes\Cundinamarca\municipioscundinamarcarural.gdb
Local Area Network
961908.754077
1031771.754077
934127.966600
1062181.216600
1
Projected
GCS_MAGNA
Linear Unit: Meter (1.000000)
MAGNA_Colombia_Bogota
<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/10.8'><WKT>PROJCS["MAGNA_Colombia_Bogota",GEOGCS["GCS_MAGNA",DATUM["D_MAGNA",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",1000000.0],PARAMETER["False_Northing",1000000.0],PARAMETER["Central_Meridian",-74.07750791666666],PARAMETER["Scale_Factor",1.0],PARAMETER["Latitude_Of_Origin",4.596200416666666],UNIT["Meter",1.0],AUTHORITY["EPSG",3116]]</WKT><XOrigin>-4623200</XOrigin><YOrigin>-9510300</YOrigin><XYScale>450265407.00157917</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>3116</WKID><LatestWKID>3116</LatestWKID></ProjectedCoordinateSystem>
8
FALSE
None
4
AMD
TRUE
continuous
unsigned integer
4100
15000
1000
20
2048
20
75
0.01
10
600
300
Basic
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
None
None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D
0
-1
0.8
1
NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
None,JPEG,LZ77,LERC
None,Basic,Full
NaturalColorRGBI
Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area,Thumbnail
27337.5
0.25
546.75
-1
20220901
14382000
20220901
14414900
150000000
5000
ItemDescription
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.0.12790
municipioscundinamarcarural
1
-74.421068
-73.790946
5.158507
4.000436
Mosaic Dataset del área rural de 22 municipios colindantes con Bogotá D.C., que sirve como insumo para la generación de cartografía básica, entre otros.
Mosaico del área rural con GSD de 25cm de los municipios de Cajicá, Chía, Chipaque, Choachí, Cota, El Rosal, Facatativá, Funza, Gachancipá, Gutiérrez, La Calera, Madrid, Mosquera, Pasca, Soacha, Sopo, Tenjo, Tocancipá, Ubaque, Une y Zipaquirá. El insumo de las ortoimágenes permite realizar estudios para cartografía a escala 1:5.000, de acuerdo con la resolución 1392 - 2016 del IGAC. Su resolución radiométrica es de 8bit y su resolución espectral es de 4 bandas, contando con las bandas del azul, verde, roja e infrarroja cercana (RGB-NIR). Las imágenes insumo empleadas para su generación fueron tomadas con un sensor aerotransportado de gran formato en el año 2020. Presentan 0% de cobertura nubosa. El área de cubrimiento es de 322.359 hectáreas aproximadamente. El contacto directo para acceder a los datos es a través de la Gerencia Comercial y de Atención al Usuario de la UAECD.
Contrato 235-2018 Unidad Administrativa Especial de Catastro Distrital — UAECD
Ortofotomosaico
Cajicá
Chía
Chipaque
Choachí
Cota
El Rosal
Facatativá
Funza
Gachancipá
Gutiérrez
La Calera
Madrid
Mosquera
Pasca
Soacha
Sopo
Tenjo
Tocancipá
Ubaque
Une
Zipaquirá
Rural
Ortoimagen
Ortorrectificada
Mosaico
Municipios Vecinos
CC-BY NC ND 4.0
EPSG
8.6(9.2.0)
2
1
0
961908.754077 934127.966600
961908.754077 1062181.216600
1031771.754077 1062181.216600
1031771.754077 934127.966600
996840.254077 998154.591600
279452
0.250000
512213
0.250000
Red
255.000000
0.000000
8
Green
255.000000
0.000000
8
Blue
255.000000
0.000000
8
Infrared
255.000000
0.000000
8
20220901
/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAIOAakDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK4bxF8R9O0nWoNLtpkkkS5Rb2RkLJFHn5wCpzvHHYjqOoxXZWtzFeWsN1A++GZFkjbBGVIyDg+1JNMCeiiimAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV4t8RPijOmtrofhy7nhkt5JYL6QxqAxwB8jHLAqdwyNvPQmvaa+Tbu8udc8UXms6rNE91cuX8tE2hVAVRj/AHVAHr65NRN2Q4lsoAwbMYXhvl+UDgfqa9S8L/ELwj4e0y30oC/hQZaW6ltlwz9SzCNmb0UcHA28968quPKWMxpu3cEnP046f5xWVcyea4k37VzgfLisIu2pdrn1lpmrWGs2SXmm3cNzA2PnjbODgHB9Dgjg881dr54+Gfha+1fxXZ6rG88Njp8nmSTxtsy2OIh6543D+7nONwz9DV0QldXIasLRRRVCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAr3kc8tlPFbT/Z53jZYptgfy2I4baeuDzjvXyajqNdzE6Sw4cRMRhiuepXJA9xk8jqa+rNXv8A+ytFv9R8vzPslvJP5e7bu2qWxnBx0r5Wsrm51PWdR1K5gUPdXElxjkD52LHaCemWNZzGh9zJkbyx2HOPT6Vnx25urlfNZVUckBRlf/r/AFzUuqyH7RDaooL7iyr69MCpoRstVY7C3Ujoc+tY2LXc7f4ceJNR0nxVYaLp0YubXUJMS2ryBdgAy0wJ/iVRkj+IADrgj6CryL4UfD77K8Xi7VcNdTJu06JJCRFCykb2wcFnVunOBjv09dreCaWpEncKKKKsQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHgnxH1TVLjXbvRNVvFlsobnzoY1jUBMqSnIAJwr4Oc/1rkbGKPzDNneMAHOAWPsK9o+IfgTS9W0vUtaUyQahDbvMzg7kl2KOGU9PlXGVx1yc14xawKkOw7gdu7J657H9Kyku47lOW2ZZftC5SVSW5bnFV4rS61CfyLO3nnnbOyCKMu7YBzgLz2zxWtNBLNZpu2rLn/P8An2qPw7fX/h3xENUtvLee1DFIp4ztG5SpBwR2bNNJMTbPpjQdPbSfDumaa7K72dpFbsyjglEC5HtxWlXg1r8RfF11NMV1BCzOzJGkEexR/dyVzgdOcn611R+IWvLZtcfZLAjAwVRjj6/PV3SA9PorzWy+Jtz5sMV9p8TY3edJA5GRuGGUN7Z4zz6itKfx+JNQtY7K1UWTSRCe5uX27VY4bC/7Pds4yDxjmlzIFqdxRXnmrfFjRba5t4bCfzALpFuZJIXwsJxuZR1J+bjj+FuOme4stSsdTgafT723u4lbYZLeVZFDemVPXkU07gW6K5Lxz43tfB+mZCrPqM3FvATwM8b3x0X9TjA7kea2fxI8UvKHkvkZVcfK0EYVvUH5QcfQ1MppDSPd6K4Dwt8R4NQee212W0sbgSYhblEcYOQSxIBGOpPORXf01JPYQUUUVQBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRXH+PPF8/hW1s/skMclxcu2POXKBFxu6MDnLL+R9qTdgOe+MUlw8Wi2iyYtnkllkXb95lCheev8AG3515moAk5yMjDYHP4VveJfFt54s1KB2gW3t4lbyYlbcRnG4lsck7R/nJODdpJCnm7vXnHFc8pXkV0K0dwRIyJyV45HY0zzkiMjOrkMOSfShAzszMzKCACT0ofTI55FIkYBcgY6fWmmhF3QRDBqKSI7hJVxvzgZJrp7y58iUKY/MIZSBjHft2zXG6dObe+Nssm2JSGBI6Hj0ree8uUDQvh8qDgg/LxkDnvz9KpyFc0BJbTzF5dkalTsUcErjgcDvmsSa5T7UYjJvhzkxA1PI6fZI0j3Ng7yCRnp0z6VztqudQkAl8tt43OTiktSd9C9c6fMUlEU21JPvgHIfHTdUXhK4uvDXiSbVba/2vs2rEBlXHHytz0OP69QDXQxWlvcTPG04Vw3DP8oI5wwX3FI2g2AvJLeZ5Jp3Hy4IHzY6H07UrtFpmFqc0+qzu0vzeY+9i+ST7k9z1p/kSSpHbQ8SOcYJ4APrWppivaqstzbBoY35ibIK89cf561FmK51Se5eN5AxZkCtjDEcE4rO1xuRTMFxaeW0QDSqw++FdNy+oIII46V73ovi2x1K0ga8eLT7qUqq280w+YscKFJxuJ4468/TPissw09Wkc4aRVCIUB6MCBXd/DnRNRv9Tk8R6sHRIyy2cToy7mZRmZeg2lTjvnJ9OdKaaYj1GiiiugQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV5P8AF64gkv8ASbQOPPSKV2QjorFQDn6oa9Yrxr4qAP4tt5FIPl2iJw3Rt7nB/Ar+YqJ7DRxEFszlWY8LwPXNW5YZJQYNvBHXPQU2zBizu5UscexrQLYQFmAbb0A/r+Nc63GzBdGtF8k/VeabJOVtUZxgdSuffvT9VuEhZd0bSdNuOgbNZrs0pGVkcOOIx8vOOVqgSHRgzXERGFUtlztz6d66ryootNj8qUz3BdgcbiG44wCPT6dayNMsVhWCeZWOW3JHnjHv+JrSS4hiunWNpF2HcojxgP16n+HrQDRkynZKRISxON2G5Hov1/8Ar1U2zRyhzbiQ3DgxBTxxxn6io9RvLi41W4Z/mLPuIQBS3FdJFpV8VRgI2ZovlXlWWPPTNPZBa+pUg1CaGQYihnYhlwVwCPw6Yq6b2d7uMwm2Z0H8A2l+MkAdecU2z0Jkgkk+1xqSduwqflz7/wBKdY6QEnkN6xVF4jlDZx7Duai72DlG6pepMyJbJIsrMFlQ9+nv69qZBLHYSRy3C7w7HZHn+dQXNutpcJJbTbvvN5jcdOG4+vH4Gs0C41PU4LGKPfcTuEiQED5mIxVRV9xOJ3XhLwZL4p1G4vtR8+3skGInVMb85A8skbeMHJ5xwO+a9qiijghSKJFjjRQqogwFA4AAHQVn+HtKGi+H7DTvl3QQqshQkqXPLkZ5wWJNaldCVhBRRRTAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoorkPFXi+00+1urC3kka9YCINGpwhOc/MCMEAfgSPfAJuxcvfGmi2Gp/YZbpSylllZAzeWwxgHA5zyOOhGPpu286XNvHcRMWilUOhIIyCMjg18+SSGHzCDsjUcvkFgPb/AGuOnavY/AzX7eGbf7YRsVQkOeX2j+8cn/dxgY296bViYSbOmooopFhRRRQAV89eJJpr3xjq7yOS5u3izgfdRto6D0AFe5eIL+40vw7qOoWscUk9rbvMqykhTtBPOPp079MjrXhemalNqOqm91HddzSN5kjO3LHHp6D06cYrOpsBGIvK8vuGIVd/BGe1Q3s5t4PJAMaKxXZ93noa270ySzkosfTGPSsPVIpNQt3kTY0qhcsWA2j6d+3FYpajMhWhnAlkAymW3suM9e3+eKlitpr2SMJDgo3IbGfr9e1WNE022gDeYGaQEkErzn2rZ8iSIRyJkMGOcDB9DVS3GivcERWyuI2YR5VizZJYnrwBj/61UZpbwWk4hRFdEEzMfvYA6fjxWlfJ/ojOoKl3yDnbwPXj9aytUvlgV2jjAWXaFSTnaMYOalbjZRntLi7KXUfL7/vBucemK7eGW5LRjzlRvJALuuSMnPy/WuWsp7gxBI25dcgr2P0xWgFnbTz5LSNI0mWQcHjr/Ok2B0F35VpESXGGXJbyxsLNu6fl1FcpqupwwDyEdUMrD5mwvrhf5VJf6m1rp0VtKELTEvuJ+YL0/T/GshJBcTl8h/LCt2BBHT+X6U49x3NHRdF1bxDqH9mae6PMqbyxYokaZALHJz1PQDPJ4r3Pwn4J0rwlbg2qGa+eMJPeSffk5zwOijPYegzkjNZ/w38NSaJ4fFzf2qR6lcuzsWjAkjjOAqE9cfKGxxgnpkV21bxjYhu4UUUVYgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooqC5u7azjEl1cRQITtDSuFGfTJoAnpK80n8YtpOv3TWc0l3ZTur/6VMze5EYONg+bGMH7tbejfELTtTvUs7iJ7WeVwsWD5iOSQAMgcHJ9Me9BKkjsaKKKCilqlzNZ6VdXMCK8sUTOqscA4Gf8/wAx1rxC4UR2e+7m/fNJvYqefZR9Bj8q7Lxp4ka7vW0u1lZLaJtkpK4DyA8j6D+frxXNqkXmmcx73OSpJPHHapcrGctTOsbLNz9pnXB25ijbkp7knvXZeHPFqaQ/2W6VPsbuWeXPzJkDn3HHTr+WK5aWfLBQ5YleuOaytSnhe1KSNvLjlPQVEpu9wirbH0XRXmnw78W3M6PpurXMkxYg2sz5djk8qzZz1IxnpzzwK9LrRO5oFFU9R1Oy0i0a6v7hYIQQu5ucn0AHJNebeL/ivara3GnaHFNLNLGU+2HdGI8gfMg+8SMtyduCAeaG7Acn8Qda1HWPGN9pkt4s1hYzAw20LhkQ7QCWIA3N97IOdpLKDVbS0S3VHkHzE52nuKwkV5J5LieRpZZH3OZGJZsnJY+prWt51aQFmOE461zyldjLGq3bJ5ZadIEaTa8sg4RT3O3nj2BPtWbo9leTxR3XlF/Ncoy8YAIzjnpx3qTV7dZLVnmc7WOMHt75rV065MEP2W0fZn55G2jnkf0H60cysFrmege0uHjdATj5VLc8gnPFayXOyJgg3HjA7f560Rpby33ntCP3Yw2Dnd/hS3EcLQukavHu5DMNvHHT8jSKXkQ3LyakqvH/AKleMJ2bbxn1H+Ncp4gt5beXZPDIPLxsf+E/h6/4Vsg/ZbV5QgyzYMYP3j7H26/WsZIrfFxNPHyydTIcs3PJx9c0LuPcfYXRlh6spU8CMVrSTyC+2ygIVA4BIzkdSfXpWJpbDe4RkwFzjIPQ9we1a3lxecySSK5chj8uMd+P1qWQLrL29oIJnwlwu14njbDKytlWUg5U56c10Pwd0D7fqsmqLbpHp9owZRIhYySFSFwTx8ow3t8vHOa4+WF7m/2G2XeRgY5+UfxV7B8HdStrjwnJp0cSR3VlM3nbRzIHJKueMZ4K4yfuDpwK2glcdz0aiiitiQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDK8QajNpWh3N7brG0sW3aJASvLAc4PvXm8XjLXfPR2vmaSM52GNNjAnODgDOdv154PWvV54IbqFobiJJYm+8kihge/INeN6ki2ep3ccK7YYbiRFBfIChiMep4o6ESOs0/4jxiNl1SxdZF6NbYIbr1DEbeMdzn2rmPFXiCLxHqsQhWeOIRbVSX0Byx29AeQOP7tZQjcwLuG1D0J5ppwrSSIN/RWYdu+P1/WjmsQ5X0IYLZUd2eQb84B3fd9P6VSXXbnS7tb6yumhuwWZG2hwMrt5z7e1WEdpVMrxhnBz8vcYYc8/SsbUN7XcMgCycKoAJJbnjH504K71Jb7Hqug/FGW+WE31hGBtPm/Z2JYkn5Sqt0A6EZPXPbB29W8c29ozRWEJuJMYDvlUDduOp569OleY6XFDBAJQgRh94kdc+3atElNisFcgjOB2zUSlroWpOxJc3D3+oT3dwAZJGLOM5/AZ5wOlVZTsRsHCt6duaspH56Bw37pT1HH0qpdySRq0Nt8+8nhRndms7ha5Qkk3O0jcZ/hA7cdqfDp80lq8yj984+XfwMetEkE6tDMsDOQNzdPy6UTSvFc+WkICCPZ5brt6feC/hjNJLuXsVbTSZpNRtYYyN9zMsKuWwuWbH5cjtXuUT2nhPwzH9vvXNtaIqvPIpJ5bA4GTjJAA7DFeNWeu/wBkTR3SRW9xPBnyIp8sqHPDYDdR6/5F+/8AHOseI9Oks7+OzgtJQFkEaEZO5WB5Yn+H/wAePthxaSuCZl67qsviPVrm7M0rwu58oOwHlx5+Ueg4/XNZT2cW0SctIOFWrNxcwpZLHa2yAHhsclWHfPvWfBuSbcWfcq8bDg81DlqUh5CuflfnvVuJFDfdCknOarwrkg8HPII6/SrmdkZZ2JHoagCjqbMVjQngEZFaWjNGYyjpIZGGBhqx5IXv7lmDbR2B/lW34ePkXoedty7CNjc5oWuhaNgxCBU2J5m4nk98VQnm86WSEnZtUYVvTHatG9nxBvB2hmwVj7joce1YOo3H2fSr2adNghQruXkkD9T/APXq7dBmHfXBljCKMwLxgOQfTPvWSytJdRWbs4g35Zs5J9q0LFHubJlaTBZfl9UGe351aS3jjKTJmX5c79uNx9aJO2gkSW0P2K7OMyws21RgD34/Knv5ksxdjtYk9hinBFmbajxo+8MDIalijS6vEj4UKctIRkYHNZsbKGrq0NtEQQHyc8kcV7b8N/ClloGhRajbzXEk+q2tvNOJGUqrbCcJhRxlz1zXjOqw3U955iNBdMrD5Lg4yRxwcj/Ir6A8IWC6Z4Q0m1EC27LbI8kStuCyMNz4OT/Ezd62paks3KKKK3JCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKl8l5JblbGWKKUsAXlQthe5HPUdRnjjHfI858S6EujagggeaSO6BcvPKGLPu+b+anPvXqNZHiLRk1zR5bQnbKPngfcQFkAO0n255+vrSauKSueTsI0haFuGYhUJOcCqGoJLbCSPEbNgfOjbh09v8APWgJeNDlmRwyDbuTk56H2qxpjRNdGOaIsVPyOMbQfp/nvSWpjYha2+zKv7xpTMm1iI+W47Z9McVzmnwOdTnmlOEhYhFLEAN6mu71C2eWFY7eIGQqQXLYIHQ1hWWnFFaHAVmkYMSM4/hrVvkTQ2tTStABEzOv3j949+w/SnvbSRqrwl2h+6u7qW64x9RULlyUhVd7bgo249eTVGW+dHktAEQswYk5DfT2wa5twLV081pCAFJZkLBezDJAYVRS+lLROZtzjKgD2PT/AD6U2+nuZZgFnZ4UUJHx/D+HvVMtbOH3SErGVyFGDzmpKRZuL+6uLpljYxgAg9sfnUl5dLKrTvP91uvQjjkD2qvueC4WZPMWF8H5upzUOoiJ4sxNmFTukY9fywKV7jKjoxjA486bnr0X0q8+FiXB27e3UVn2xluL3zWACsNucdMZqaecIdkm4DnFEgCV2lkeXYqsx/hxgURq2358kdD9KjtyZRv4wTjaR39auINxKgFQOevSsyxWfyosuBsCgelVlEtyOATnsBSyu08ioBiJTxW7pdvttSVHzZ6+1UkNEnhnwzJrN99mhZFKYMrswBQf3tvVvTjuRkitjUfB97pF3dR27w3CW9t9pZuEZlzg/LnqMMfp7kCq3he3trzXoTNI8dxHcQywEuixkK/zBs8kngKF7n05r2mtYQTQHi1tpOpXlo2oPbyC3wSpKkDaikk56YAHfqemeaw9UYf2TIkhVHlOFCtuyFPQ+nevoWsLXPCOi+IVY39mDKVKiaMlHGRjPH3iMDG7NVyCufMUk81q+Y4w5PyYx/KtaGdLfThHKC25BtVvr/k1623wc8OWwa4N5qx2AuQrI5/ACPJP05rx+W2mu2BkZeUC5HGBUShrcpSL8N0Z41JjVQOFBXnH413XgHwtpXiKxnvbi5nS5hk8owQyIAFwCrFcE5J3c+3tXBwiKONQyh/L+8AwG78a9j+FsMkPhe4MilVe8dkO3AZdiDI9eQRn1BqYRTlZg2IfhboklxG8s93NEr+Y0cjL8zZBHIUccEHvz1GK7aKKOCFIokWONFCqiDAUDgAAdBUlFbqKWxNwoooqgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDz/X/h3A1sbjRpLtJ0ddlt5wZNvQgbjwe/J7Yrl5rG40+6ewvVkt5jyhkCjPp8w+U9+/tXtFUbvSrC/ZnurKCWRk8syMg3hfQN1HU9KCeU8pNxMQYj/rAvUDg4/SoGgfIiL4ZsNgcn6V02t+CG0+2kurGYy28WZGjkxvUADJB79z24HessWqXcLPI7Rou35gPmJ7Vm02xeplRfbNMLXCiMptdy7tntwuPUVzuoi5J3o5YTEMHK9f65zVzXb15CsLtJFtG1lUcZ7k+uazZb0MLaLq0akZcev9KJSsggmXUnlu2LAea4+Zxt4JxVS8GWcBfm38enP1/KpLGRI5484j+bG/dhRnuRUtxIYpjK+x03A8jhx7Vg9Smh6Xs0VgtpLbRhDGNkjEe/zZ6etUrZVd3EmUinQoG7c9Sfwq5bXs08+2QpHZrldmPqOD26+tMuLSB2WKHesf3vnByOvr2qm/MSKSpLaOHi+6clTngr3pJgXDGRMlTwKtXke23VI+iMM7RnirNtDEbfzpWRyxHy5xtX+7j8BUsZnQ26owbGPbvUl0rhhEn3epx2Na1nZtOplTACLuXzON1TQQK9w1zdqH3nG0cc0khmZYWLmZTkhfX0Ndn4f8O3muq7RTRwW0MhieU8knGcKv4r1I696wJpYIl+zq4jDnaXYZ2Z7nAzj6V7NolukGi2QS3a3LQRl43HzghFXDcDLAADp2rSCuwOU8GeFoE/4mGo2m67hlZYSXBSMqzIRgdWDKeuR90rzmu8oordKwBRRRTA5HxX4/07wnci0uLe5mupIfNiWPaFPJADMTkcr1wfxrwp501DUJZVEcCzys/lxoVQZJO1R2HpXXfFuOOTxsnlOXYWcfmDeW2tub5cZ+X5dpxx1z3rAtrRHVPkyf731qZNInVk0EEZVtwwo5wehx06V6d8PdU0TTtEezN4sE7TPNIJ2CqegG09MYA465Ddq88a2jGWGwu3TpwfWn74lieI4AHJY9eeP696yvbUo+gKSvA9C8Yatori3tLqQ2wkz5cgDIOScYP3c85wRXqHgvxQdctWtrl3e9hyxkKgCRc9eAAMZAx9PfGqlcSZ1tFFFUMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDN1rTH1ew+yC48lC6s/ybt4HOPzwfwri/HPhwWfhxtQguHaS32CRWOEKk4yFx1yR1PTNejVl6/pEev6Hc6ZLK8SzqBvQZKkEMPwyB/9akxWTPALSQyfvSGYDo3X5uw/P+dFxEBaiUp8zAFiX9Txx26Ve1rTdT8O3Y0+4jWMoGlTDBxIuWAfjtweDzVBry0S0WKS1ElwuCxGRnnP8vX1rJ66AOtpQihjIsb/AHVVYd5J9vTtUssaSsFa6aQxH5gIvu8/X/OKdNAtzIkyQNGFX5o1I69OM/54qedpRpIii8yN84IXG2T/AGietRy9wauJOGRRBEpKZx+NSyLMUSSV/MBTjB5xWRBczyz5dSSctIMZ/wD1VovIkh81lU/LwE4H170h2HFGmDiPKoB8xf1HanG5txAXNqAzJtPBx16qT06dBUZMctyoiSQKR8m5uM1KsTm18m53RrEoJR1GcHoVPp0yKPQDYgiW4sYLsTHYq7H3j7ueOADVq7s7e4t0ihJjZR1K49cHNZGnXbwJMkKxhPKZphySuPT1/lzU1teztaqmSjSZVccbhz0/KqVmAzSdGvNb1+K3t8FUdTJOYvMjjxz83BHOCMHgnivc65PwTo2n2Nm17aS3TyzoqzCTKoHAydowARkkZ56EA9a6ytIRsgCiiitACiiigDyX4n6DLaTya3BbvLDKmyWXdkwseMn/AGSMY9DxxwK8+t7t0jjiPO4csfavdvHyJJ4L1BHYKreUCzDgfvVrwu/0G+066e4W5hltioMQR8lSTkHA7dOvrUNITuXo5gykq4EgAyMdcjgU+5ZmDToQEVdvT5sVNBai6so5vlWRlBYr0z6iqVzKYllg2F9o2uR2GP5e9ZNoEYkVzudw5ZcvgZPJ44FdNpOsXOl3MMtsWjnQ4RtoJAIweDx0z2rGiiwMMQSH7cjH+f5VMsbxkyrKf9nHr6VfMTZnt/hjxPBqVisV5dIt6rhMSsqtLnpgYA65GB6D1rqK+abm+eGER4ZOM8df8812eifFuey01bbULT7ZLFwJvOKsy/7XynJ9+/15NKXcq57HRVaxuHu7C3uZIHt3liV2if70ZIyVPuOlWasYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGJ4l0CPX9N8klUniO6KRlzg9we+D7eg64xXhc+ni11JWeNsxPh0ZSpBHY5/H8q+j68P8WWK6Trtxbxzu2MBSw5wQDj8j+lZVNNQOf1PUIor0yDMnybYwo2hSe2P6mqw1PzY1Q5BYcsP4ar3MrtIWRUY99xqGzTa28pvySwU9ueM1m5dgWx0j2DXcyOspYFQW2+nPYcVLLbSBGRTh0b5cDqppbG5Yq7yPtLDBI4/L9a05SRFtlXBA3IRzuHPFNWaGY0FuYiVkdYyvzqWYcNnPNIjzyr88izMjNtYcfL1PH+evtV2S3kuYfKW12k4bzJGHTrjuTTbGwEjwCa7S2iePLzOpHlqMk/U4BwO5IFLyEJZaXFq1+LCK8htrh49sXmkqHfI+XcBx3IPqAO9eiaF8OdO06yT7a73N7sIMufliYgglBjn73Vs8gHApNI+H9pBd2uoXN9PO8RSWACHycYO75lOT6ccYrt61hG24GdpukWmkvcG0R0WdlZk3HauFC8D1OMk9Sep6Y0aKK0AKKKKACiiigDlfiOdvgLUz6eV/6NSvCftYWNY2YqpKsxzgD0FejfGrVjBFpOnpcLhjJPLCu0sMbVRj3A5ce/PpVTwzf+HtB8B3V419BDrd/BLFG0cpeccMEwqjMY3L16cKS3QCJRuwuZWl6baGZz57r+7AKluOPb86z5zH9peSGPG7cplKjp/nNUoptrwJIzq+CGHXLelSpEwnVnLMgQ8DruPQ5+tYW7jK8J+QALtH948E04HP8ACGX0PGPwon378g4b+HJqOYhYYw+fm5yDjJzVEkV15c0bE9A2Fx1NY135gY7GYhavzt5hZeP3ectnGPTiqOJCq3J5jztA7mriJ7H1HpGoWbaHpUn2t9txaxPEbyQedICEALerZdQcfxMPWtavlO91O/vdOtYLu6mkitV8m3jkPEak8qP0H0UDoAK+qIjK0KGVFSUqN6oxYBu4BwMj3wK0uNO5JRRRTGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXEfEDRRfJZ3pgRo4CUlkDYdckbD0+YA5+m76129ch8QrDVdQ8PPHY3FvDaRq0155md7KmGAXg9wT26DnrUzV0CPGzpcO9382QKD8vyjLf4VKLNLYb0+b5mHl87+3LcY556ehpNIuDbXJR5TszlQVJB7fnW3LFbtC01sGZDxtkPP4e3WuYtoyAzNvDM43H5jnqavhpSqRSSs6xjCjNNNssbDDBtwz6AGnAJHl8H3NIgme5khgG2Q5Vs/lS6c9/qNwlhaQrLNJuCLkKGHJPt2NZ0s4lYfN1P505bmS2ZHikdXXkMrYKnrnNUnYGz3WC5a1jsLW/k3Xs67C6I2x5FXLcgYHQkZxnFX64n4fXNudJTydFuLTzW2PdffWdlXrn7wH3u20HIzk4rtq6Yu6uAUUUUwCiiigAooqC7uobK0murmTZBBG0kjkZ2qoyT+QoA86+LXhu/1W2sdR03Tlu5bfdHMI03TFWK7cDGWAIb6bs9MkeR2yzKMxxHdHGSDnjnn8K92134gadZ6UZdKkjvrqWASwKM7OSB8/cEAltvB+Ug7SRXidvIkELxx5aTJUll4b3/Ws5SHYjgaX7KUZSJWPBZeR7+1aQl3RjeQWz1qk+xWErOG2klVHbj0/GmtOBwH+YnoOaz3EOmkbzOMEd0p7jzlctyQDtyuSaqyTfZY2l+VmxljnH4fSpbWRZFBLbfUZyQfSnbqT5GG8nlsdvUnnjrVq0i823y2ThuPp61dms1VRwoIGMYplrG8J2Ftqk8VTemgknfUpXUMsaKSnmbXyvqenWvTrX40/YrWG0/4R0AQxKgzeKvAAHRYgo+gAHtXAaiIyIY/3hyxYBF+8BWXcDzZiYxhfQ9qakVbsevRfG0yj5fDw3egvv/sK6HRviho17YST6p/xLZVkKiLLzblwMNlU+vHtXgAkEWEjyAOp/wDr1ahSQx7o5NysPTFLnZoon1Fpmp2esafFf2Evm20udj7SucEg8EA9Qau1xnwuWceA7Nppd6vJKY1CgeWu8jbnv8wZs/7WO1dnWi1RDCiiimAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWdrltLe6BqVpAN009rLGgzjLMhArRopMD5oiiltSjSAbQenb8K1rSVnIjU/Kudoxxyc1NcaYYL2azlBaS3JRmU5BZTg9e1SWdjGlz/AKzCkcqeua5iyaONSH8zAYfdxzVa7tJ1t3lS3ma2jcK0wQmNSccFug6jj3q2ZwGbysFD0yDmu58G6L5MsWoxzxTQPDklZCHSU/wlVO0rtOfm5zt4BFUo8xBk+FvAEdyEv9VcyW/JhhjOFlUgFZMg5A56YB4GfSujg8A6FDdGVrXzYwQUjkZiFO5mOecMOVGCOi98muporZQSAht7aCzgWC2hjhhX7scahVHfgCpqKKoAooooAKKKKACuK+JMmqvoMdhpNteTPdSETm3iLDygOVJAJGSV+oDV2tJSaugWh8yTJcW0rRyoVk5V1YcowONp759qz5ZHjkdJPmA/j6cntX0F468Pza1obmwtoZNQRl2kom90zyodvu9d3XtjvXk+q/DzVNL0K41XVby0sto/d27Ss7yPnAT5RjJUE8E++BkjCUGi07nME7I9w3F1UMT/AHv8/wBKiCRW4S5G5ieo9R/Skhkkcp5iA7jjG7Py1GWyrqWBi5wJD938alXFYWeVpVcj7nOalsvlVWiyQ332NZtuXKuBhlJxkDtWvYqAq4DFj94ECtdkZu1y0G2lc4Yc4yaAfLjDbd27knqQTUhiBx1PckNWbcmR1QKzLu9ei/Wp0KRfeKaWRGCqAsZC7h1z24qjNAhVQr5YH5gq8U77T5FvtkOWXgD1rMluZI1bBw7EkgD3NK9yhHcydEPXsKueewtSrIxPXO3rVISXk8SxPLIY43LLGz5CkgAnHqdq/kK1NIsLrUrhLKytpGuZWxEsf8X49h79qUioHvnwyYP8PNLYdD5v/o1662sLwfo9zoHhez0y8eJ54d+5omJU7nZhjIB6H0rdreOxD3FoooqhBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZPiOVofD17KkRkdI8qB1U5Hzj3X73/Ae3WuT0v4gzoypqtqGj2j99CMN9SOhzx0xXoVeEmV4y/mLnPt19c1Em1sI6bxRrtprk1v8AZrfYFU7pJFXe/PAzz8vXv/F04rnfupu/ix0XNAw8YwQCFycfoaRvlf03epxyRWTdygUgDavPsDXTeGfED6O8VrIsYs5JDLMwQs4yuOOegIHY965qMB5VjLH5uMjqOOf5VaZSuxkDyKfvDjpzTjoB7RRXnNhrGpWlukCXcgQc/Nh8ewyOB7V1nh/U5dQgmSc75YWGX2gAg9Onf/61aqVxG1RRRVAFFFFABRRRQAUUUUAFeYfGC/YWmm6asYZZHadiynqo2jB6H7zZHX7vTv6fXzx4y8Xv4t1NHWJorW2LLbR8bgDjLNju2Bx0GPxOdR+6VFHPBAqqu3G0dh/WqVqGDTxSDeM9+mKsNe+VaCPzDFIG4BHBosmaadjuSRhwpX1/GskgvqWYrNEhxDHsB6qV5qdFQP5gGXHUjPy0qz7GZZDxnIOKijWRZfNDfu2+bBFMLXJXnUqUBB4ySe9ZsozPGAqhTz1q0yRsX557+tQCIi5LO8hB+6B2FJjsNvYtyb22tx1B7d6oPvmTzCOnC4XritG8WPBw5G7t6+2Ky5S8ahX69xjkUkxj7PAXPlls993Oa9k+Fng2WHy/EF8ssTA7rNd2N6spUswx0O75effpjOF8MfCen+IpbmfUQ7w2yKPIDFQ5fdyWBzxt7e34+22lpDY2kFpbpsggjWONck7VUYAyeelaQhfUUnZWLFFFFbEBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXh+oXDyahNdO6sLmXfmMHbyTk4PIHsea9nvopZ7C4igfy5pImWN9xG1iODkcivJtV0a90q4ljuoyIuF84KfLdiMjDEfXj2qJCZjvIEuUZV3KjZGTjI9PaplI4kJyinq319vpUQYi2hfduJxuyD0LZ49RjNTS42KiIrDHzDp3NZsE9CaQB1QqiL0x0P8AKrVoIxsfcWB45XrVSK4iSNE8tQ7fe28bTT4Z/IaTK5XLEt/9anzFI0BcytqYghjAjxlnY4+v1rq/C91Mb9rdYxhl3SFuuAOCOfU1xTvBZyRXQLK0n3lxg7v4u3StrwzqjHxRbqtwWSTchAXcWUrkdBxyAc+31pp6gel0UUVqIKKKKACiiigAoorkfHfie/8ACdlY39tBbTWz3HlTpLuDnI3DaRwOFbk57cdaTdtQWp0l9IkFhczSztbxxxMzTKATGAOWAIIyOvQ/SvmKWF4ZUdVAAHXrWrqvxB8Qa7az2t5eqbSd8tbxwooADBgA2N3GB3rDJe4VRGdijsDWE5c2xpFWJZG8+A5g3oTkAp+op+mRpFDKI8qe3FRyRXFpGFmVomKAjeOxGQfoQQfpT9Pb/RpW2gv0IU+1K5NtSdpVMwJOSc7ganRYwweMGRMdCcn+dUUkhe4xjefUVZglSWTy0UqR7HHJ7U0NDnDhXYEA4zg1HtCtwwx9e1FwnmQsFzx2xWXIJQUHzKxGOORSauBNqN55UIRBnPGeM1v/AA+8FN4zvpnvRcQaZAv7yaNQC8nZFJ+u48HoM4yDVzwF4Gk8XXK3t7Gg0WCbbKvm7ZJG252jA6crnkcNwc9PfoYYreFIYY1jijUIiIuFVRwAAOgq4Q7ktlPSdD03Q7b7PptpHbx9Dt5ZuTjLHk9T1NaNFFaoQUUUUwCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuI+IU0qJYRJKwSTzN8W8hZMFMZHfFdvVHUoLeS0lnmsIrx4I2aON4wxJxnA4PXApPVAc74N0fS5tBiuXt4riViQ3nKrmPBwAPTjB/H6VuT6BpckEiJp1lG7KwV/syHaSOuMc1X8L6ZdaVpbx3gjE0spmKx4wuQOMAADp24rcpJaAeQatoF9pl5co8EktnFt2XAjYJ27/TH48ZrKuEKSHfnzZANv0r3SvOPHOmW0esRXKXEEMkqgmE7i0hB5OAMDj1Izg1EoW1A52dZU0+NowpVAMn72TjJzXWeEfDzz29jqz3apscnZEpywX5cE9uQcjByPrXG2kiK8xcHaDuXH1rufAuoWkEE+mmVluHuXeKNlJOzaP4sY/hNKG+oztqKKK2EFFFFABRRRQAV4R8XPEEeq64mmQomzTGZWmWTcHZlTcMdtpBB5PPpXs2p6tb6daXjmSJ7i2tXuvs/mAOyKDzjqBkYzivmO5uJb3Wbm4nlEklw7PIWG3czHJPHvUS7AUQHTa2wgHv6irls8aRMX9elSSWmy1fPUfMo9KsWlii4EiknaOe3Ss7IE7FRpbmdCiIMfTJqaK1aGBiqtuC5yh4x71pohG4EBdo4yOtVhMiXEsR5Utnr7Umuw1O+5BCUJwqbGkAH1XPNbNtZmNFkKFfMHykHtkdayhFEzu0eVGflx2bNbCXKXMCI235Bt5PPrSRaH6ZpWo6ndtaWVq00jjOxcABR3JPA7d/51e0v4f63q93HusZLO237XmuV2FOMkhThj7Y4z3616p4FkMvg3T2O3OJB8qgDiRh278de/WukrVQW5DZT07S7LSbRbXT7WK2gX+CNcZOAMn1PA5PNXKKK0EFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXlvjhpn8SOJl/dxovlBl6rjJx/wLdzXqVeWeMb5b7xBJ5KArbgW5JP3iDk/qSPwzUT2AwYTttpZWO0A4966fwLDZXeszNdQGS7VRPC7fdXBw3Gf9pcfSuX6r5KKdgPJXgdea7v4e248i8uv3gUssSjOF45Pfk8jqOOxOTUQ3GdvRRRWwgooooAKgurmKytJrq4fZDCjSSNgnaoGSePYVPXg/jfxNrF7qmp6U1+32NJ5IvK2qBtDgjPHbavPXr6mk3YTdjmNSv8A+2dSuLqUor3EjSkAHbljnjPuaYI237FCljwWbn8ajtoWb5gG3A474Iq+sW1chC4GOOuKzZKbepWMJSEopLuDgA96vQYaIArhj8uAc7aa0AK7hhix/wAmljikjT5mB+nOamxVyx5DvHsILY+9iqE9uhYRhApOc8c06O7kSIESbk3Y45zT4pUL44DHnr/9b60ILXGwwNaoNqna33hjOR2q+bSNNrFFYYzkAZpDdKkZMkJI7YP+fWmxiSZWIJwB25zTLSPbvCugHw7pJtHmErySeaxUYAYqoIHr068fQVu1R0nUotX0u2v4eEmTcVzna3QjPscj8KvVqiQooopgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFDWLsWGjXdz5nlskZ2PjOGPC/qRXjqcSEYwT/e/z9a9O8a3CQ+GpkdWYzOqKB653c/gprzAncG6Mc/dHfuaynuMQDfKxXO0V6f4It1h8MxOhbM0ju271DbePwUV57pNsLrVLO1aJ5I5ZlV0GclSfm6e2TXr9rbQ2dtHb28YjijGFUdqILqInooorUAqOWRIYnlkdUjQFmZjgKB1JNSV5X8SNfF1cDSIHAjt23StkHc+OAPpyPqfak3YTdjqbz4g+H7Ka6ha7DSQgbGQF0mYrnCsufoc147rCJqGtX16qOFuJ5JYwwwQrMSM/hWbJG0jIAMrncccVrw7XPJLenriokyE+YrQWhVmVgxTHBq15GxGGMADqBk1pWiRyZMpIwOvWpXtIgo3MnP3azuaKJm/ZwI/mAz19qbJCQnPTrwK1fJRYyFHA6mo0tGvbiC2iVFkuJFjVm6AsccmhD5SlpvgvW9eULYW+yDqLqc7Y88/i3K4+UHHtUt94W1fQY8X9ruRfmM8Klo1G5lGWxgZwDj0YZweK9o0HSTomi2+ned5xh3fvAm3O5i3TJ9a0615dBLQ8Ah8NavfSzRR6fM81svmTxMpQqOwwe57Dv6VCLKaxlFtPZ3FtIUD+XKjIcdM4PuK+ha4nx14d1HWZbWfT7aKRolZH+cK7g8gHOBtGPX+I8VLjZFJlf4ZwTxW19KrKbN5AoQyNlJFAz8uMchhznPyiu+rnvCGhXWgaXPa3ckUjvcGUGMkjBVR3A9DXQ1cdESwoooqgCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiqF9rGn6awS8u4onYFghPzEYJzgc/wn8eOtAGN45s0uNANwdqvbSKwYjkhjtK57DkH/gIrzRiDGFcnk5A7YrrfGmvWepwWkNldGSJWd5VEZXkDC/eHu1crGGluFjRGkkb5VABye3A+prGW4HZ+CNE8yX+1pd6iJtkCg8N8pVm5HI5wCD1BrvagtbWGyto7a3jEcMYwijtU9aJWQBRRRVAFfPnjOXZ4j1InBxcycH/AHzX0HXgXixfN1/VF3Fv9Kk4XqPnNSyZao5Q3ZDQquQinGPXmumhfKocE+melcnLB5Ugw2fmwAPmya3reWUMgcAcDOPzNKaTM6baeptW0qbQsqswPGV61KLgqw4YL92qXmOYyT94gc0tsxeba8gwB1Iz0rOxtcuGcKG+Z1AHbmrugQnVNZs4beF3UTLJIyEgooIJOc/L9c9fesSZwY9i/e+9nPavaNE0PSdKt1k0yGM+aoP2gHe0gIHO70OAcDirirhc16KKK0AKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiisfxPY3WpeG72zsmKzyoAuG27hkFlz7gEenPNAC+HNaj17R4rtCBKMJOoBAWTAJA9RzkexrWrw/wAK+I5PD2tmaUSPYyL5UkadWOMggEgZDcZPQFvWtfU/itdXWn3VrbaULaZ0MYm+1ElM8ZGFHOOnPBoWpPMludn4n8aaf4csopgVu551DwwxyAbkP8e7nC+nr+ZHmk+o3t3Mb7WHeWYqqoDjOO3A4A+mOprmoIc9fmkLDAPQVsBHSGMmYSkncwxypz6miVkiU22SySgAq6l5ZckKewPoK1fCq3MHiHTzHneZgAoXJVeQ3/jpNZJt/tYKTYj7OR1YV23gXRnlvhqrOPKti0SANyWKjtj7uG9etZrUtLqei0UUVoMKKKKACvC/Heg3Gl+J7mfb5i3rNPFIFPdjlPqP5EHvXulRyIJY2RiwVgVJVipwfQjkfUUmJq58tR2qSXXkyuRyT16YrThnQTPDGgIT7x//AFVS1uGHR9a1K2gL7YLqaFHZskhWIGcU2zGUaV0OD/CR0Gf50murMr20RtQylkCjA67cnjmlJZVIfBK8ken1rOt0feHhySDgkj7tXpY8K3IQgdX7n8ah7miWg55Tu2gjI755Ne0eBHd/Benb3dyA6gu2SAHYAfQAAD2ArwwMElCoQSQMgetew/DO4uZfDkkUuPJgnZIjnB5AYjGOmWznJ6npgVUXqOJ2tFFFWMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuM+IOsRW+k/2UqGS4ugH4I/dqrqQSOvJGB9G54rqr68i0+xnu5ziOFC5Axk+wz3PQV4jq13Lq1/NeSSv+9Lld8hfylJJCAnsM9KmTEzKAM8zSFyQhOCOMn/IrLhimuN0irldxBzWhdJhktrYtvbJyfTuauW0MdsqJHuGAev+fWi9loZ8txumWc0DLIsyrKDgxsMn046etbC/ZYtP8ybHm8lVDc9eKrwjJDuofa46/wAPcfyqrqFykruisoONzEY/L9aSlcfwla61BwolRjlSTj2r1f4ayed4bmk7Pclh/wB8JXkz6U8li0wd9+OQea9I+FodLTUIWuCwQx4hO4bPvc4xjnGOOfl57VVktgg31PQ6KKKZoFFFFABVa8vLfT7OW7upVigiXc7t2H9fpVmvL/i1q9qILPTU/fXKyF3UOcJlflDL0JOc+oA/2qmTsrjSueLCBnljjmLY3bmOevFadsYpWU7AoAAKLuxkADJyT1xn05OMDirUVuqHa6hlYYYe9PELIzoFwvbPT2qHUF7OxbW/dQF+z7DnjIH+e1QTXCTXXz7DgfIG+XFRpHuYsRlS2eelKyghm3lFyMkH/PrUqw3ck/eTzrHDF5jttRQo3HcegXHUmvdPB2gSeG/DsdjOyPc73eV0dmDEnAxu/wBkKOg6V8+2epS6Zq9vdRAEwzLMit6q2QCPTivqGtYqxKdxaKKKoYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUART28N1CYZ4klib7ySKGB+oNcB4/ubbTbW20ixhtoEfNxLGkIXA+6pB6DPIOOePTr2+q3Uljo97dxBWlggklUMOCVUkZ9q8EknnvbmWWRmknnYuzbR87FsngfWkxNksTwPJvKhSzbd+c4PT09asEeS5PmZeM9eoqnEDFGYwMncTkjmpxkKoclivGPQ/lUaEkzRy7RJ84Rhxn0qu9wbdgqJHublhjIp7mVFZonZSykOoPU+mKzmldpzF1YHbj1ogrsiTOjikkutPVERRKG5LnHGf/rVveB7qO28RxxrJI6XsUiBQeNy4YFh04CsPXn3NcegmEbRl3WRBuy2Sc+1dH8PrJ5vEyTxFmitwzyMykAZXaAD6kkn6A1WxaTvc9coooqiwooqOWRIYnlldUjRSzOxwFA6kntQBg+LPFlt4Vs4ZJYmnnnYiKINtBAxuJbHAGR+Y9yPE9Y1L+19VuNQcNuuJS6hmLbRngZ9AOK6L4jatb6p4hjNuAYorSP94YwpfcPMHP3iMMvB6HPHPPHKMspxjtWUndlxViaOUIwLIjYB4YnHIwDwe3X8O9G9tuRgn3qvIRHLkv8AK3INMmu1t1BO5snHyjNRa5VyaW6MQ+fgE446022s9S1RpXsrG5unj4byIGlEec4+764NZ9xPG+7acFuoBwTz9O9dj4P+J934b0yTTJ9PW7t4TuhBm8to9xJYFtp3DJz6jJ6jGNYwMJTu7XNHwr8NdR1mJJ9aWXT7L5h5eNtwxHA4ZflXOeTzx0wd1e2VyGofEXQrLQE1KG4juZ5o1aKxjlUzFmGdrAE7cfxHtjucA2tF8X22qw6e08a2st4jsqGQsFIkKKN20Z3YP5Y7iq0QKyOloooplBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAV4j4r0W50XWZmkijit7maR7YxkbCoOcYHTAYDp24r26qOq6Zb6zpc9hdB/JmXBKNhgQcgg+xANJq4mjwEzSxsY87Y2I6dCRVqJ08vhDn+LIwBmm6rpV/oWpGHUraSJVPyyr/q5MY5Vj94cj6d6gOqvf3CSsXYIwTAAG4AdhUuJFy/JvwcEqv3tv8A9ftUVtbbpxPJtJx26hsU+XdMQi74ojjc2fm29x9ald0tlQIN+X6yncW7f0pLQViW7BZWKDEmPvg9K2vBvioaCl1bX0ckltIweMRAblboc5xnIx37e9Yhbe+5lLBTkKvHb24x/hVZUVcnkH0IpJmiPdbK8g1Gzju7YuYZMlC8bISM4zhgDj0Pccjg1ZqlpHnDRrH7T5nn/Z4/M8zO7dtGd2e+au1qMK4H4narLb6db6dbzNG9wWaUpLg7MbdrAdVbJ68fKa76vB9d1K7u9VnutRtfs94zIJYtjJj5VAOG5HGDUydkNGRq88lzdPcSAEyPnYn3VXsq+iqOAOwAqptLSjbjGKlu7gSWg+YDJwFxyRToyA23PQdKzKW5TuFKNv2k5+XheazL9Zo42Xy5NnT3PNdGfmZCCML61BqNvJJaFImbeep4pxdmTON0zEsbNYlaaU7pP4BUlvAZ1k2oN5bc6sOp9PpTZVLQ9csnfp+P+fStCyjmSf8AfOgGM4JGW9DW3mc22g+3skUYEex+S+D2rYCGLTkiDcMe3Hv+f+FRQxI0h3NwDVy8VkVUhG92+Vfp3PtWetyzqPAPi2Kxj1G21fUJEt4hG1skpaQqPukKcE4+5x9SO5rWv/ippcAf7HZ3Fzsk2lnIiUrz8w6k/TArg49NMQjkHBXDH/DPX/8AVWHehnvXj+XAbJxVx94Tk4o981LxZoekXTW17frHMgDMgRnIz0ztB59q1opUniSWJ1kjdQyuhyGB6EHvXzosbJGrxcMnzNkZxWn4N1+bwxrDzvHJJbzKEmjBIyM8EDpkdvqRxnNO2lw9rrqe+0VDbzx3NvHcRNuilUOjYxlSMipqRsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUVh+Lmuk8LX8llJJFPEgkDxthlVWDMRyP4Q1AEPjTw8PEnhm4slBNwmJrfB/5aLnA6gcgleeBnPavKToN/oiRJfWM8DDCtIVyu45PyuOCceh/kajbxp4hCW9v/AGpMEt5mlDKcu5zwrH+Je+08c85wAB9WvtcnW41G4luWI438KvY7VHyj7o6frUzWhEWmy675UbGyoPQjINY8257lW59FA6gZ61dd3iO0ISvVSP4fekeJkmidVAJGMZqI6A1dhHuilKgluw3n0rpPCfhRdd+0XFzJJFbRvsGwDc5xkgHtjK9uc1k6PpsmseIILNN6q7b5GA+6g5Jzg49ATxkivYNM0u10ixS0tE2xrySerN3YnuaqK6l2LtFFFWAleafFHQ7u5kh1aBJJIY4SkwRM+WFJbccdsM3OMDHvXplYXjGW4i8I6mbaPzJGh2EbS2FYhWP4KSfwpMTPnOadkhhDcBeD9RVoTCOEOdxXGSB2HrVe8hDSDBwoGScZz7VXvZGW18uM9PvkHB9aXLe1hRla7ZqQ3cbSFFkBZex4qeSZST5jhVx64rlJYRE0bRsQxAOR60553LZMny57dafseqJVfo0dS0InUHPyspJI9DUMVxaQSpDcIC652l+nIqJL1I1CB8jGAB3qvcB51CsrCRclT/Soin1Lna2h01lcxqrncCvGcHGD26VpRRKhDOo3YzlvT0/pXK6VNIjsjBCHO8nOM46HjtzXX24TeGJBCjbjGefrVPQzi7k0zD7FwNxkG7d7c5rLk0Myv5hO0y/fOe9azpKbk7kLRKc8gfhUuCAGQfLz1PQfWle2xdk9yjBpqIqqFxgKGLdzUkemREgsi5XjscetWZp/IhSaMRsoGA3v9PxqOK/EjfO6uG5z0x/n+tGoe6j1y1jjhtYYojmNEVUOc5AHFTVyfhLxANQZtPKOTGhkSTgDb8vH5tXWVY732CiiigYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRyRpLE8UiK8bgqysMhgeoIqSigDyTXfhTdzawzaPNCllIN+bhz+6OQNnQlvY+xz2LJp/gXXVSG2a0SFFGDI8q4H1CkmvXKSk1fQSSWqPIJvDOs2c7wyWM7gdHhQyKy56gj6dDg+1aFt4J1m9tvMdIbfdgBJ3O7GOvAOPoea9QopcqGch4T8M3ei6ldz3qwuxhRIZYpCRgsxcYOPRO349a6+iinsAUUUUwCobm3iu7WW2nTfDKhjdc4ypGCKmooA8E8S+F73QLoQXCq0LsxgmBGJAMc46g8jg/hnrXJz27ebIAAehxt+8a+gfFnhM+KFtV+3fZfID8+Vv3btv+0Mfdrxnxjpc3hTV/7Pd1nyqypMQF3Kep25OOQw/Ckk76Gc9Ec3ZwsLl5Zozhuw6ClvrIC5Qqikk5KinRamXx5ibRuwDu6e9SDVFSR5Pl3BchSOlarmvcx921iG2Yi5ztJVuOFx+A9uK2kgV1UDHy45PTH0qtEYbo7kAPAZCOO1aEHlW0YbzSW7hTzUSV9i4vuPQeTKEERkRxhgB0+gFb9uYoUTzNkSjjI/hHvVGC4jheR5FIkVR1HI6dar3WqwTRxxMiP5nLkfL0//AFfrS5WxcyibQ1AjzJY1bYRnBwT+IqFrlGkZHl3uc4ReuPw+tc5d3hLhInZt42EHHI/D8a1oLa2tbZ3S7L3Biy37sr9AODn9KHGw1Nsff6qpCpHGY414ZHx/nNY0uoMZFKHthSP4u4zUlrbTaxqlvZWnMlxIFTG75TnO447Acn0wa9r0LwZo2hNBPBao17FFsNwS3LY+ZgpJCk89Oxx0q9IkKMps5z4WWpeyu9QchwH8iM5OQMBm46Y5X8q9FqOONIYkijRUjQBVVRgKB0AFSVDOiMbKwUUUUFBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAlfMnjrUrzV/HGreecmK5e3jUZIWNCUXGTx0Lem4k96+lbq5is7Sa6uH2wwo0kjYJwqjJOB7V8xXAsoLm4ls932fewXzWG/Zk43Y4zjHTvRzWJlHmKbaUXjjbJQbcMMc56f1NQ38CxHZFty3LZOenp+lSm+uLhpRC6iNTj733vXFM2wwRxySpM78Hrnn8qcXIznyWsifSbW5PmqzhAvynP3j9K1DKqXbu43LFwOep/wA5qrLdEQIQG3hcfOOV9aZExe2Vj/E/zA/T/wCuaqKb1ZlJpaI1EO6EmQcSPgnJBJ/zzVYwOkjhjhhk7fqf16dahMyvJFHKz+Tu+YjkgZGcD1/xrS1e6srlF+yRMqRLtBY5Zhk9T698dqq7WhNr6mRbRNLJuXO1MsccHj0rQWX/AEKSVMZlYhcnoP8APNZ8mpz6dpl1NEAzwwswLHgHkZ/OnpAtnpNrEC8k/koMHtxzms+Z82pryJQujt/hMkUnjC4EkQeWOzZ1Yp9071GQfXBPbua9sryv4P6XuXUddeNVMpFvCdxyF+82R05ynPXg/j6pRJ6mtNWiFFFFIsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArh/G3w6svE9iTYLbafqAkaUzpDjzsg5V9uOrbTuIYjB45rs5pY7eF5ppEjijUs7u2FUDkknsK808RfGfRrG2ZNERtQuipKvIrRRKeRzuAZsEDgAAg/eFNJkyaS1PGtWtPsUy2NvqNvfRxqSZLQuyZywIDMq7unVeDxiqMc8xn+0Kc7TgHrmkS3kcnyd25ewHb2rUVra1ijt5Fwyr85Pr6cfWqcktEc6hfV6FNrqVpDvdsyf89D2zUyyqLj7JvBkKFlZBkEAgf1qlEjyTYXLHnbg4GM10ek6ZJP5MEUBFzOwijGQCWLYUc8Dn1pynyhCnzBbWiSuj7WZuTsZcDHrVe00+7itbiS7dWBnZ12nAA4UD8h+tek2nwr1qBZka9sArksMO5OQDtH3emep7ZPB6U+2+GmqXOoR2uoFI7FMNJPDJnf0+VR1z9RjjPPfFuVzoUI2sebW1lFqAlglRWSTHykdvXH5mrNzby3N6fMlIj+9w3Jx2r1TWvCGleGfD2pzQv5klx5SQmcJ5iMG+YI2B1Xt/sn8MjwBpsV/4tM8kTvFaReapK5USZAUHjHQkjvlc9qLu4+VWseieEtKl0Twpp2n3BJmii/eZx8rEliOOOM4z3xW3RRVDCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPnXxre6rrfii+S6une3sbmaCFGwFRQ56KOpxjk8naOa56ewhmjUY2n1HrXpPxQ0i303WbbULVUj+3KxljVcZdSMv9TvH5Z7muD2bGZgx3HBx6VEpNDUEyG3tEt4coN0nIU57+1Z0to0sjr5jM5+brkN1H881rLIMhm5x0yaz4pV+2u+7c4TYxxjnk9KUW9xTitEQ2UL2rosturqzKNwGCM+ler+AfCMt/cQavOGgsIn82ApIuXkSTpjB+XKsD0PTFcvYeEte1RYbu20y5kt5TiJmIQH5dwYbiPlI/i+7njOa9e8D2l/pehrpN7ZeR9jwFkD5EhfLkAY/h3AEjIznHSq3d2Cio6I6iiiiqApalpVnq8KQ30Pmxo/mKu5lw2CM8EdiafZWFpptuLeyt44I85IQYycAZPqeByeatUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFZPiDWk0HSZL1kV3BCxxszLvbrtyFbBwD2x7jrQB5z8TdUt9T1W3sLdlc2QdZHVukjbcp07bR3744IrgZlKttPQDtxW3JJ54aa5lLTTOzyyYxlmyc8cCsm6CiIqeWX7x9ayepaMuU5GckRrjGBnPvX0Zofhqx0vw1BpMtlaupRWul270mlwNzHcPm5HGewHTAFcD4A8ATPcW2uasNsSeXPaRK/MhwGV2IPCjg7epPXgYPrdXFEsKKKKoQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXj/jLVPtmu3Uf2ydrGOUp5bFgqsi7Wwp/2g3PQ+tewVWu7G0v4hFeWsNxEDuCTRhxnpnB+pqWrgeH6Lpupa40i6ZafaFt9pkXzFXbnOPvEehrs7H4aP8AbLe5vbu2xFKrNAkJkWRQQSCSR15HQ13dnptjp5f7FZW1t5mN/kxKm7HTOBz1NW6a2sHW4UUUUwCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/9k=