20200529
17280900
1.0
FALSE
Layer3DToFeatureClass Nybygg_flater C:\Users\ppf\Documents\ArcGIS\Projects\Grefsenkollen_local\Grefsenkollen_local.gdb\Nybygg_heishus # ENABLE_COLORS_AND_TEXTURES
CopyFeatures Nybygg_heishus C:\Users\ppf\Documents\ArcGIS\Projects\Grefsenkollen_local\Grefsenkollen_local.gdb\Nybygg_heishus_CopyFeatures # # # #
Merge Nybygg_heishus_CopyFeatures;Nybygg_flater_ny C:\Users\ppf\Documents\ArcGIS\Projects\Grefsenkollen_local\Grefsenkollen_local.gdb\Nybygg_heishus_CopyFeatures_ "Navn "Navn" true true false 255 Text 0 0,First,#,Nybygg_heishus_CopyFeatures,Navn,0,255,Nybygg_flater_ny,Navn,0,255;Type "Type" true true false 255 Text 0 0,First,#,Nybygg_heishus_CopyFeatures,Type,0,255,Nybygg_flater_ny,Type,0,255;Etasje "Etasje" true true false 4 Long 0 0,First,#,Nybygg_heishus_CopyFeatures,Etasje,-1,-1,Nybygg_flater_ny,Etasje,-1,-1;Høyde "Høyde" true true false 8 Double 0 0,First,#,Nybygg_heishus_CopyFeatures,Høyde,-1,-1,Nybygg_flater_ny,Høyde,-1,-1;Grunnhøyde "Grunnhøyde" true true false 8 Double 0 0,First,#,Nybygg_heishus_CopyFeatures,Grunnhøyde,-1,-1,Nybygg_flater_ny,Grunnhøyde,-1,-1;BRA "BRA" true true false 4 Long 0 0,First,#,Nybygg_flater_ny,BRA,-1,-1" NO_SOURCE_INFO
FeatureClassToFeatureClass Nybygg_heishus_CopyFeatures_ "\\nsv2-nasuni-01\prosjekt\O10201\10201307-01\10201307-01-03 ARBEIDSOMRÅDE\GIS\Export.gdb" Nybygg_3D # "Navn "Navn" true true false 255 Text 0 0,First,#,Nybygg_heishus_CopyFeatures_,Navn,0,255;Type "Type" true true false 255 Text 0 0,First,#,Nybygg_heishus_CopyFeatures_,Type,0,255;Etasje "Etasje" true true false 4 Long 0 0,First,#,Nybygg_heishus_CopyFeatures_,Etasje,-1,-1;Høyde "Høyde" true true false 8 Double 0 0,First,#,Nybygg_heishus_CopyFeatures_,Høyde,-1,-1;Grunnhøyde "Grunnhøyde" true true false 8 Double 0 0,First,#,Nybygg_heishus_CopyFeatures_,Grunnhøyde,-1,-1;BRA "BRA" true true false 4 Long 0 0,First,#,Nybygg_heishus_CopyFeatures_,BRA,-1,-1" #
Nybygg_3D
002
file://\\nsv2-nasuni-01\prosjekt\O10201\10201307-01\10201307-01-03 ARBEIDSOMRÅDE\GIS\Export.gdb
Local Area Network
Projected
GCS_ETRS_1989
Linear Unit: Meter (1.000000)
ETRS_1989_UTM_Zone_33N
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.6.0'><WKT>PROJCS["ETRS_1989_UTM_Zone_33N",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",25833]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</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>25833</WKID><LatestWKID>25833</LatestWKID></ProjectedCoordinateSystem>
20201028
13095800
20201028
13095800
Microsoft Windows 10 Version 10.0 (Build 18362) ; Esri ArcGIS 12.6.2.24783
GrefsenAlpin_3d_bygninger_20230901
File Geodatabase Feature Class
dataset
EPSG
7.1(4.0.0)
0
Simple
FALSE
0
TRUE
FALSE
Nybygg_3D
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.
Navn
Navn
String
255
0
0
Type
Type
String
255
0
0
Etasje
Etasje
Integer
4
0
0
Høyde
Høyde
Double
8
0
0
Grunnhøyde
Grunnhøyde
Double
8
0
0
BRA
BRA
Integer
4
0
0
20201028
/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a
HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy
MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA
AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA
AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3
ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm
p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA
AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx
BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK
U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3
uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD06xtY
7dWIwwZSNpGDx3qXy4w+WRYwec/dBIHp3pWlZ3aNECYyAT8xH59M0jlUiLS7WkbBAIyR/QYoAhYR
3JCFCwJ6ngH3x7Ux4mnUxrtPPJPQn39ashTcNtA2Hrgclvcn/GmkgcKuSnPHIX6e9AFd7ZYygyTJ
w/zDGD6n/Co/NYSFBHk5+Z5F5Y/4VfZY3wxYjnqedx/rVWKVnuJSgHy5A3Hkn3/rQAQxbULNJ8/X
bnjr0HtVlYkZcYETD+6KapEkKBRyoz1znmnpjLFcANgnjFAEawANuO4j0zxSPGQ4MYAXGMEcflVg
0mOKAGxQRJL5lvCNwHIXg5+lTCIhiMMvG75RyM1C8iwRKxGXdgFUHmlkkLAqW4blizdhQBXMRkYr
s3Fjzk9vc0ktvDYR+UXLzy8Er2/CrQby40aLBQnBIHSo4LZmdn5Zz1kY9vSgAPyKvmPhExkZxu9q
jWTBCwxBwxGeO3Xmrgtog4JXzHHQntU4VR97n2FAGeulpMQ13sk5zsbBGavsI1GAFNPJULnCqKrP
GjZ/mKAJlGfTis3UdWtbMiBNj3LcBM8D61MrFWKk/max41lv9Sna6tbWKyQBWZSBMGHUZ7cYIrOp
UjBXkxqLeiJINSuI3VJVE244CoMN+FbJEQwMcnrmuH1MXNhft5Myo9vgwyI+VcZ6n6jGRVo+NymP
tFirMCF/cyBix9hWeGrxr8yh9l2YlF7HXbFVuBxTZGLDaoFS2jG+tvMjhbOMgjoaFTyid4Ib0NdA
FbaImUY561OgzwTmiUK4wevtTVwMcc0ASMoxwBmqrxFv4Pyqy0g24FR71jG5hwRxQBUNkmeBj2q7
bxRRqPWqkt4pbCmpoZw6hVAJz1oAdNMgOAopiThRg55p0sATLSEfSq6qJG+Xp3zQBajORkc56CpU
AVQCBx2ojUImcdPSlGHOM4oAaSM7sAUohMo/1YGe5pQqrJ83IHIzUjSMeFHNADVt0VeT3+lKY4s8
oT7gUvCnJyW9TUTyc8nB+tAFQvLIyLsKkD5R0/8A10SsLcoqBmnbOcH7v1pfMUwoV+Yk7OSep9aR
4A6Slt22Jdx2nG4/0oGMUMkLkyHzH6MFwF9wetPdTGn7l2GwYb0zTYE3TIJDuDgly6jA/TrRjCMJ
MGNSSMN1IpgORWjbqFI5Az3P+e9OWBXWTJVSQWYg859z2pTuKKQFJIGcrx9RmmuxWNY9ihcZUBsF
s/jSEMjRDDtTJ5wOTx78H+dPG0RYOQF/5adfwpVMkaLGRu3Dlx2/+vTdrCMDaG4woIPA9aYyJIZD
N80r4z8wBHH51OMi4EIfPqW7fWoofM8/LAHHyqqdB/8AX96kmmECKiyku3LNu5Y+gNIQjbVk5RRK
x+9x+dJAsZlfBDjBzzjFRxwCcDcTvbnjoB6Zq/FBDHIX+9Ie57ewoAZHDI4HmMSuOhPWp+mEUfQe
lPJPYVFzG7N696AJgBGvPOe9Mndo4i4MYx/fbAqN5CSPSqV/xLBO4JRW8sg9t3AP50AV3vbx2kWe
3QRAjGU3qatpqEEgAWWJnb+FWBxRPGJ7aaJ3dd6lNyNgj3B9a5GWyttPK2srSKyKPKcKAj/QcYNc
uLxEsPDnUbrrrsRObir2udRe30FpB5sx46ADqT7VzD3Ul3NLIyeXHIwbZ9Bjk1CkCAKxAYqDtGeF
+npVjcoUYGWxyW7fQf418vmGbvFx9nTVo+e5nOV7XQ3I6cVE9vEV4UIV5DKMEVIpkuM+TG823+6O
B/Spjp19LASsWzI/jOP/AK/6V59HLsVUadOL9dgTZ1/hDUGudFZpYlVkmZG8tcZ4ByR6nNb7NBIh
LFCvfNYHhLRptMtZ5p5V33LBvLj+6AB16ck/4VevMJckB84A7d6+8w/OqMfafFbU3WxBcLGJyYxh
DwBVeWVYzgDJqWRi2COo5qAqMhjitgEAyNzAVWuW3ABeKsufUnFVpHQe9AFMxkc9a0NPQJlyufSq
zOmBirVvkwtxQA4xPcPlzn0q1HDHCOmT9KQfIoOeaDIep4FACs7MQNo249aYcryOlJvLNgc/WlZt
nUc0AJvVk5pyHjr0NRK2X5xinn5CSOnegBZXKLkdaoPcEsSc1oOQ8eE/OoBbMRyooAhDE2ro42sm
2X8e44qz824spXEkZzuJ4/WkAEsXloxDL13YyR6ZpuGEauSuZOPlJ4/HNAEIwEiZePmxnpwRT41d
8gsVGMYBGPoBimOtuGYDzfNGcFXwCenIpVjmReS7IBtCkDr6cdqAJppTGMRBSwj2cgAA+571UWLD
xymRpH6ZcYH0FPCXHmJm3Yj7y/N09M9BUq+c55DDYCFDAfzoAfbpjawAC9Dg/ePr7VJNKYo9o+d+
u4jC/lUZu4bGLbkyOM4XOcU2G6nun8yQbEAwABgGgBzKIEaQMS5J5A4X1GKz4LYuPmcMSfmLdh6C
tKTLjKr09aSKFY03MAWPJoAnSRUQKg4HH0pu85OQM/SjB7Ypeewx+NAChmI4ph3MeetKzBBuJxUD
SNIflpCJD8rdcGo5v36hGAIyCOO46GiOJt+OckZyaY2oWlu3lqTI5GSVGf16ClKSirydkDaWrJ1g
5CO4U9geprM1u+tIbaSzWKO4dhht4BWPjrz1NZWq6xdXkfk2wSFAcySH52Cj07A++TVa10q7nRAC
Yo0I5k5Lj2Pr7kfnXnVsZKt+6wur79F/mZud9IBZ2k13IsKMRgLvkbPT6+tby6bZRIsRhWYr/FKA
xP8An2p1rBHb2yRRRmJF42k5OfXPf61ajjAO9q1wmApYZaK8nuxwppLUbHEkEQVVRFA4VRgCoJph
nC065kDgANRbWRkYMeRXcaHSaS5bTkz/AAjFULiXfO7+pqL7YbVgsbDpgjtTQSy8kUAHm56VHuJ7
8dqRgB8ufyqOXcmARyaAHSyqiGs9hJM2B0q7HavK3PepGjjhOF5b1oAqx2pGByTWkiLFEF6k9abC
vf1qRiN3PpQAhbjpUTN5jDA4FLK2OKkhQBMk0ACjy1PHNQtyctUzyKoOaqM7SNwOKAJN+TgUbiv1
ojiYnNPEYd8Dp60AOjUndwOP7tWAvAw2fc0BhGuFGD61GQM9cfjQBWkCF1nBUNk7tq9R781GFEkS
NFId+77rjqPY1IET5XBZpBz5YwQB9ccUkTfvCxBZyMLtA4/z60AEojj5QEt0HUf/AKzVyCIRws4X
yyw5Gck1FHMTGsUrLuI/hJx9KryTGSUJE+zPOX6n8KAJysUAX5wFHbHFNaWR4iYU2p/fYf0pHVFi
UiRTcHoW5zULz3BmClsc8KvOaAES3ggAeVzJK53YK9M+1XUVmHI+XtmljhG4NKAW/lUrygDAoAiP
y5BOTTeo/rQzE89PrQMADPegBRj8qa77c8cmnfUiq93e29nGHnfapPYZJ/Ck2lqwZLs8zGelRXF5
bWStnlwudi8saxrzXXmLRWyFFPAkz8x+g/8A1/SoYdOnun8y4YxqeufvN/n3rycTm9OHu0fel+C+
ZhUrxghb/XJph5aOsMT4XbjJPsT/AID8TWT9pklu4IJd3kGUK+0gADp0yMcn0q/qdlDb3EOxPlZT
155B6/rVN0BViAN2ODXzGKxtWdZOs7/kZxaqR5jXubaN7y2sY4UFuAZpcHGcEbQfUZ5/CtUgAcms
iKbOqtP5f3rWMh89cknFTPPI3fivsMugo4eNupeFjaki29wmcZzineaTHw3HtVARyScg4FTxxNt2
813HQJGhluAoya0rudLeNYox8461HaQGHLtx70v2cSSljQBWBYjzHGR6VfhO+1DY57Vn3jCNCFNX
rDJtATnrQBEwck8YxRBCXcFjk+9PuLoITgCktJjI5JHGKAJ3coAACB/OqnmZmwRU13erGcAAmqVs
7TXO4jNAGmpwo/IU5lx0xSEEDGKjkcquO/vQAxhl+easYLLwDiqaOxfFXZZPLt9q9SKAKxXe+3mr
CIiDAA+tR2sZUbmJyadJJg7VI3GgBzMAdq9T+lAAxx0HFRqpTp1qXOOtAC9ATnNRMu454/CnjJNK
QPSgBkNqGthGSo3jLbRg/j7VTsnzcXKSbd0Q3BtnIzx071djkVN8jhRKq/6w9GOOmB2qjGRFczTb
QTOqj5D055oGGGlYsTh15BK4yPwp6xNKrHBQ57j+tWbe3iALEEY6E96Y0gaQjgIp6CgQ4JFEN+Nz
Golnna4bdGipgbWB5NPDjBJHHpTITufDcA98UATl2wT2qDzWZ8CpHViSAcj2oggKtub8qAHLjHOS
aeRxgHJ75pp4OB0pQmOTwPSgCnqF/HZQFuGlORGhYDca5nE1/e/eLSSdeeAO5+lWNYtpn12eThh5
KPEu7kqCQ4A9iVPvn2pumXKW94WcjZKoUN/dOT/PP6V8vnGKnKssO9I/mclabs7dDYtrGC1HyLl+
7tyasmk3LkDcMnpzS1wJW0R5TbbuzL1tP9Hhk/uSAH6EEfzxWSelbuqjfps/qq7vyOf6VhV5+Nj7
yZ6GEfuNE0YYXOmzHOyWJrcn0Ycr/Jq3ILEtyR+dYscoks7WzDujyXQAZeqhTvJ/IY/GuilnMaAg
Hb2Nfa5TNzwyudGHvytPo2P8iOJcE81EJUVsDk1VlumfgVJZ2rSSBn4A5r0joLqsWIBHT0okcIp4
NDSJGxA4qpc3K42qaAKc7lnOa0rWbbp+7pgH86yHOTWjaxGS0ZScDPfvQBWG+d8VfyljAGkOGbgL
SxQpb89W7Vnaj/pLlX57g+hoAjlcyyEmtGwiKYz361nWn7uRVusL/dk7N/gfaty0TzAXH3ScA+tA
ExK7vpUEi7m+tWHXHAPX9KYAN/zGgCIR7TxUuA2M8mmyEAcU5AShJ60APyAABVdCN28/jUrDIpsY
x8p7dvUUAPaUKBhecU0HHLd6Q7N+TjPvUbsC2ew/KgCbg9vyo3Y7j8qiU/T86lAUD5up9KAMW2ll
1G7E0zeXAOQCQq4/HvWs91aWqB2+fPRVxj86yY/O82OJo+QhLjbjAHb2prsigEpGYmIXEbZYGgDT
upVkZRtA3DcApzjHuKS3gbHIOT7UQ7XMZXJUKMA9Rx61b3tjpigCJ0CLyOaapGORxUzAEHvTVTb1
x60AA3dBxmlYkADOKVRkL2x3qCSXa429utAE6gLnHf1qOR/lxRvBHzNgetQPy5CnI9aAM2+DLqWn
3CRhsO0Tt3VWH+IWsiZFW5nQAbRIwx+Na2uwu+mh0xuiljkHOOjDvWM26My7+XVm3e5zXynEULSi
11/4JzSjarfyLOnWYubkSHPlwkZYnv6Ctx7mCOQRvNGrtyFLAE1n6bb2qackUvEj/vHRm+bJ56VN
I8c0YH2fbbjq8qlMHsAp5NcdKnyxszzasueVy7KgkhdTyGUiuQNwsUYU5ZwMYAzyK6aFZpYkDSEI
B97jLce1c8beO2uJkUcq5wTya5sZFcibN8I7Nohi+1JdrcpuLoGZIA2PM4+7n1I6fSugt7sajaRy
xOxiYZAPb2I7EVjEE9CQRyCOxq55v2e2/tZHKRRA/aoVXIYDqwHY969bJMyUY+wqbdDr9p7OWuzN
aGIBhxWhnYh4qKPaMMMEdciobu5JO1Rx619UdJFI29zzUUkQH8WTSIGY8VPHByWc/hQBEltu5PSt
C2I/1ajp3qNQOrdBVi1UNITGB75oAr3DmIn1FU40M83IrZuLMId8mMe1RRtFGS23gdPegAZI1VYg
u4nrn0qwrbECgYA4wKrqCzFuhJ61MBhSM0ABbaSzU3dvNNIZ29qmSPy+vNAEYiAbJ6fyp+SOhyKX
eC3Q/lUMs6pyCODQBIME5pJFPUHGBVcXOXGOlSySZAHpzQA15Ex/TrUYYseENNLFzU0a+vXtxQA5
FY9sVOAD2zik2fKCvSlXdj5OlAEBuonTeqtICOXwAMfzqkLeFpd6RPGduQVPFQWq5upU2tsKbS+e
nQ/0rTLjOW4xzQA1RsP8qlDZ65xTc7j3AoyuQwoAOrjg46CnjJ7jHSowxJ/lTXYnpxQA5nIBA6et
QMOc5p67iO1AQkDrnpQAgj3DkkD0qRYAOc/nSqmwZI5qUouMv+WaAM7XEV9EuE8sOzJkJnBJHNcu
zlzI5HJcsR+Oa7V3XayKPlIwR61x95o93p6yNaqZYcjy1UZZR6Ed8eo/KvGznB1MRCMqWri9jGpG
7udB9og8oTxgPuHBVc5/KmpFJK4kmOAPuoCfb/CuTiEcE53kpcgB27MvHUjqB9RWpFqV2q/LOHHY
soNfOyr+zfLUTi/M894Z/ZdzoTzXO6hHs1KX/aAap11i6H3o4m+mRVW5uHu7gSsgTC7cA5zzWFer
TnTaTKoUpwndoixWppYT+z7jzceUWYHcOMY5rFurlbWLdtLueFQdWNbOjkTabC8RWRuTn+FWz+vW
owUHdyNMU/cRa0Rml0OyZ5VdzCuWXoTirTRhm2qN3vVXQsDRrdSiDaGXCnI4YitPaQMAYFfokXdJ
netiNYkQY6t6ClK8f1p2MUZG09sUxjCpxjmpoGELDaOWpmcDn8aUZ+9jGegoAtyuZBgOZPbiqxCj
5SPu0ttD/pAOTgDJzSScSEL1JoAcOue1DEYA5BoReMnr6U8KxYccZoAfGvGaJZBGOTgD9ajkcRbm
zz0ArOmlaTNAE32vLnGelVXdpG+tEYUZzUybeuOtAD4Y9ibjzRktxTmbKdOBRFgHnAHrQBLFFzzV
gL83XpSKBxg/jTgVC565FACsCAAD7fpUauQMdcelEknHuafFhUxjPcmgCCJIYw0UCBY85PPU0+UC
Rzt4z3NR24WZP3DB1BwSD3qYxMpyQaAIWBTgjj1WkwAM44qUdT0zSbFWQqSRnkUAIihgcnHpim+U
WGSeKeAEba5znoadwDgCgAVQF4BppbAPBJPSnc9eg7imhgWyp4HAoAcoOM/xHuaRiO5FB9lyaTB7
8e1AEZwD6+lGD3FOKA8YOeuadx3oAry2lvcBftESSbTlGYcqfUHsayZvC8DSF4bueIk/xYYfnjd+
tbxPQdqaTnnt6VE6VOorTSYnFPc5qfRrq2dm3ebAFzuQfPwP7vf86zpJAFVo2WRHBKyDgcdQfQ+1
dqTXJa9aGG/ieFI0t5W82QDgtIpAz78Ek/7teBmWUUPZurSVmjGceX3lsUI0eX92CZGfGWxjIzwT
2A7V1VhaJYWcVtGAAo5wMDNV/DLr/bLW7gFLiBkwehI5x/OtybS5o2L2yh4tu4ITgr7CvOwmDc8O
q1PVvdehz4mnOaXKZfh+Hy7DBjZAJ5QFb/fbmtZh1HSsvRCI7W5j2OhS7l3B+uSc/wBa1fQDnPU1
9fSvyRv2R2w+FDAmeo/Co3Q5JHfvU5/u/nURzzn8K0KGsfkwRyeKUtjJPAHFQCXbKN3JH3frTyCc
FjzngelAE8EyqJCxw57egpkYZsse9N+zo7BtgyP4sc1NGyquO9ADlQ8n0pHc449aN244FV55GDFY
/vdz6UARSHc3zHp6VCz7uETH1qaGAk7ny31qXCbsbfm9+lAFeO0Z+TwKcYQjdeB3qcuOhP4CkRQ0
uTgEUAJtITaevpUkSYHI571IFBPbj0pxHoaAGlAM7DsPtUowvGOlMCNtDdDjmlLbfyyTQBBLu85c
jAq0sZ2jnFR8yv5h4C9BS7noAxXlGmqTarsRD+8KAYQZ5wO5zV+G3N5cxXbSTAwsdkfmEK4bjLDv
7dqqPbmQInlLG7SAPknBXvxWlEoghxt2sxyVDEigB2V8xgM4BwMUpAZcHmkQYyT1zSZCsT1PoKAs
ABBKyEEY4JpdjLwrcdsjNLkN6GkB2nGcqentQAu3d1bPt0pAAQePxFOPPGefWkwQMHBHtQAdOFNL
05JGaTcQOAPoKMFuooAazkdOc0g55OKXp2yfal2g8k80ARuMnmkzjg098f8A6zTChfjkCgBuSxx2
9axvEkKNYwzFGbyZlHynoHzGT9AHz+Fbe3AwOgqnqEBudPuLdWZDJGyhxwVOOtROHPFx7kyjdNHO
2VybS7s7s8GGVS/06N+hNenL8pHoGx+BryeBxc22SQ29ckjocjn9c16Fouq295pkAkuEFwIdsqs2
CGXv+ma+byapy+0oPeLuv69UjOLujNsiw1HVEeUyGO7IAP8ACCq4FXdoHc5qppRe4t3vp1RZbpzK
fLHG08L/AOOgVPI3bt2r6aKsrGyB5QBjv3qJpOMCo2+9UsMTycgZpgNbTRcqsgYhgPl2nBFQtFfW
3JxKo/vcGte3ieP7w4P6VZ+oyPegDFsbuadJI5Yduw5yPelO7fn1q9NhSVRQozzjvVfaM560AVrl
xGFDKSD3HapYjBJEPLcZX1ps7J0ZsN/CPWqrqySK0ZCyZzj1oAtyTGMYIyaY26UZI6UR7J134ww6
r71OjbeCuKAI44GyvGCxwM1bytnJtAWRgMlW71GThkYdmzgU5mhlcSTAblIKknA57UAaSJZXBxt2
Of4TwfyqKa1it8fMWc9Ae1W0eC7jw6qfY1RlVVlfY7sqjA3HOPpQMYMMcdugqG6dUVFHdufpU6xB
hk5z6VTYKZWxyqHGT3NAh+/aQnYjJqQyKOCagEnJJHNV2bLHKkmgC2YkXDcZHUgYzSIPm3EcnpTW
cNx0pyuScEcUAOIbP86axXOMYpxKY61G8mB057UAP+UHg4HtSNwCD909/So0bAwBTm3EYznPrQAg
kIOCM+470pckkBTxRtI5K5ApVUjkKM96ABd2OgHuaUIWX77Z9sU/Jxyv4U3APIXH1oAPLP8Az0ak
8sbsFmPpkmnbWPYD6Uq5OQBj3oAAFB4UVHNcRQ4MrBfwpzkJ0PPpVKZ1JJPJoAstcR7eoNUry7WG
1mmPIRGbGeuBVZnJbisLVbpNRmOmKJDHG6PMVHDkEER598c+gFROfLG5MpWVzIk1e200pb3D28E/
lJmLcRtY9Rj05rcsLU6nhUjY+Z+7ODjap4difZc49yKzp/D8MiNqU3kyysxLiRM7Bnk59B16V2Ph
7T0tLIXOx0aZRhZAAUXsMdic5Pua8WhlcVivbTTutelm/L0JhCySZsLFFDGI0wFUbVA6YqtIB60S
z5yo6VDvOK900Bl+XHc8CrCTrb24GGPOOBmoVbbIrFSwFSodo6DnmgDQSZdmW4pv2mBs7XQt6ZFV
0TKZyfm6gnrVC50tGi/0eLy5N3B3HkUDLch4yBjntSKMnJ4xSgFEG8qvbk07HPoaBFHUpfL8pXi+
RufNHUGkgmaKVQ6B3wfmbuKbqbyQ3UErhmtuhXqM1EL2Wa6HkQAxr/E47f0oAsSNEsjPEcSH+E8g
j/Gg38ZKRAEyv1UDO0epqveyzQfNEiKsnymTHzL9BTreznt4CEj8zzezD5gexJoAtMyqMyBsbtuF
Hr/Spyu5gvb6UqZ2gEYYcEfSlBy5BXntQAgcqMAg844qXA2D5s85PvTQu2msckY6A0AWmlCBsDki
qMakpjHcsc09pCx5pqkgY6/hQAoBJPHTimm3yc5P4CnxnK5wcnmpjIRwoH40AZUdxuK7kZWfoVIK
tUz3McDbJJFD5wR6VUNjPpssMkUioob5hj5Ofb1q1fI8kSlMGZ2AJ8oEADqTQAvnBmXlfm6H1p27
zD8hDbeuDVBbW9Ns05uLciLIjZoiA3pjB4/WnWrtaQuZSmcAny0b9c0AXo0YnPAX1J4pWJWXyyyk
9doPNEdzbTwCNlVsnPXik8k3N6xfZ5JBAI4OP50ASg5HX86UZ6Hn3xVdJTG8hcmSJTtUoOael1E0
xiIZcKG3Mu0c9vrQBNjuD+Apdue5oGDjnIPQ00/Kx5IzQA4YHGSfrUUlwIwRyT7GmyHGTkmqUrjc
VyAfSgAkuSzGoWJakK5YquWkxwKJfkZIyw8z/lpx93igCrrBmh0W5kt2ZJAv31TcyjuQO5AycVg2
MiW8I8t2eERAxys27aD292PX8fauivt9ro95OgLmGEyrwSOB/OqXgrSILeyN08sk8m9hmQcK2fmI
H1qXBOXM+hLim7mppOmtI0NzKZY7cLlbdxgs395vb0B+p9tyVjjpSbh601mycA/rVFFcj5s0w7VB
Zzx2qaRcfj1qmQbm6WJTx3x2oAVTPdSYj+VB3qSeW6iG5IvNRiAGRMnpVwwBURYyAAOmaf5sdsPm
kyPQ0AZX2jUS2xbebpkDaF/wqaCC+nyZ3MPoGfOfyNSSalJMD9nj/E8CodkkhBedy3XavA/z+FAB
d2fkxh/MLtnk9q0I8SxK47gGqa2gdW5JA5O58/yxS20263dzuVIzt2JycetACSTP9oaF13QdTuGf
880LOJZvJCnOOAo4/GlnVZYz9kKO5GWUnkj2p0lyqWh8uNkG35yThkoAprEDHcrMm6dW3qh7D/Jq
d7uXaqysUjk43hSCpx3qGzjub6SKQHyIictJjLSewz0FX7EG4jnWQplDt+Zc0AMt8bf9aXBH3ver
IA2K3fOagt7X7PvBYFQScipRxjPUUASnD9OnrTGADHH0Apgk4YDqKVXBznr6UAMK4wCOp60pwF9u
3tTh0znOacELgZ9aAFACqMde1BRm5U4qQoBUbEg4VsAUAQSFmjILxGFABvc5+boOKhhmktrjyZgf
M24zxgimOIJA8KB4Sj7sg53e9WxCLy3MkbgSEYDMOwPNAEMqYZJIsyqhUMhxjFWJLuPfKJLdvlA2
nbyxPaqMMpSKVZJRJFkqrZ2k/wD16k1AxpbROhZvKxtzzz70xkiWse2RpQoBBwU4CD396o52FBAz
EP8AdDcfjTopGgjkgbLgrmTB5DHtmnPaSKnngsF8vCoR8y0ASrffZLgxOwJ43HHGfSmySHfJIoMx
3cLgfKavW+x7WIsw5OT5qjcxqn5UdvcSKJGVQQzlhkHPb60hDXnmhjMg2/OQRGxxt9cU9btAwEpO
5v4VGdv1qCZgV23Cq0bH5WQ54qRUVIQsajcBgEjp3oAW4kLTLHACTjcxYVWg3PcLcYHOVkUjGPpT
FDW4/fI2+TjfnBxVlIDJKkpZSiJydxJPrwKACZo/MEsKK5HBIPT0pjRSKyyiF3d+GDEAYNWbIw+S
XVDG3OCerCp55CkRebO4fdUDrQBXuolbTZFuN3lSLsKr8pbP06VU0XT4dKtZYbaW5kQuZW+0NkjP
oas3LTX80UOAMDOMHI+tF8I5SlishST77qoyPpQMsRzpI7KCRt7sKpMTceZcqrJsHG05zWgYo2wi
4UIPTOaihJkTfEcpzgPwTQIhhMktqzuxznHTtUEcMsT/ALuZAe5UZJFXFBlY/wB3HQcCs7Sp45Bc
C6tZY5E6upyCM9jmgRaMUpIzPKfYL/8AXpohRZUBDMz9N5z+lW2HzwzxSfuFTJBJzimPJBcxNKsE
gnjUFRjBYdvwoGiuqvM7w4ZX7Ar0+tPSEMod5EHlgLiN+foc1Y3ySTQz5VMLhk5BJNRPDDDLHCww
JCSA3PNADZIgr+bHLJHIyfLERliR35NSpdGOIb4wCxxyuMn3psssdrfFJeMIMSFc8egpqlXn3+bI
DjKp0/HBoAeCv2kt8yNApOVXgj0qHUAkulPLHkGViGLD2Pb8Kcs8gyJgAZ/k5bOPSmTHyYY7WTDn
flgh6UAR20shfT5XbJZVzgYHcVp4SIyvGmA3OB3pgQlBuYldm3bSnCLtHtgUALnOPTikzvO0fjQc
kjjrT1XK+/rSEMVACccZNAGHPJx9aeATkDr1o8oKuc4OetMY9VHQDrUmMMPypgO3BYYOOaXdk57+
goAM7hikCCQbj36UdO/XqaFJCge1AFWyt4wHgniYyMo3Meh9ADTZJJoL4RJuK4wqKMBQe9FFMZFJ
Fbqps2WQv9/eOmaZcW1zFAA8YeNQMgnlqKKQkXoWkWHzDEU8znoMj8KpuJI0VjNKzhskY5IoooAD
88sk0sTsY+EQ8j61I1tMIFEjqVkO6UMe59KKKAI4ngtYN0sUgywRVfnPuBRHFJLBJcQKFdnORuz0
P6UUUARwyNdOUaL5QMFvQ96IoSJke3kHlL8rAdT3oooAs3UiRW5kAAc8Iv8AOnRRr5sU8km9Zl27
i+Apx096KKALU0624+zxMDcbfl39/wAfWqTiOLdclczlcSOo4oooBj4IZJJRMpZABhW3cEeuKbfj
Zc2RYg4fHHHOfSiigVxxS4DsLcgYfDEgcCpZppDcJAY1aKReeKKKQEbk28aKkYKM+1lx0BpkEDJC
ZEYkxoR6ZHXGKKKaGgObvRi6YEoOeOMkUtyguLCK4O4NEMnAyaKKYxpP26BZbRg0yHJDj73tTnWP
UIQ88clvOpwHx3/rRRQBMIHjRZHG5R1LDn647VT+zK0rsCfLJzsA6/U0UUhFwurgKnQCk2gckD0N
FFAChewOOtSpknaOMDnNFFAD1UL06ZxQy5PsRRRSEIxwwB7d/WmjliV7HGaKKZQwjIAJJFKACKKK
RJ//2Q==