Eclipse Community Forums
Forum Search:

Search      Help    Register    Login    Home
Home » Archived » M2M (model-to-model transformation) » [ATL] helpers not producing expected result (containment problem)
[ATL] helpers not producing expected result (containment problem) [message #103184] Thu, 09 April 2009 10:52 Go to next message
Eclipse User
Originally posted by: aaniculaesei.gmail.com

This is a multi-part message in MIME format.
--------------000009060404080207020705
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
Content-Transfer-Encoding: 7bit

Hello,
Why do I get the following error message:
"message: ERROR: could not find operation not on Sequence(OclAny) having
supertypes: [Collection(OclAny)]"
since I am not using "not" operation as far as I know ?
I've attached the ATL code and the output of the transformation with
debug information in it, together with the metamodels.
Also what does a warning message like:
"WARNING: metamodel contains several classifiers with same name: EAttribute"
"WARNING: metamodel contains several classifiers with same name:
ecore::EAttribute" mean ?
I have a whole bunch of them as you can see in the output file.

Thanks for any help
Adina

--------------000009060404080207020705
Content-Type: application/octet-stream;
name="Uml2NuSmv.zip"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="Uml2NuSmv.zip"

UEsDBBQAAAAIADuLPjpcenX6HgcAANkpAAAKAAAAbG9ja2VyLnVtbN1a33Oi SBB+v6r7H1i2
6l6uFCVm12Q1V2o0xa7EREMS82IhDDgbfoUZ1OSvvwEEARk1Bmv37ikRmK97 +uvu6Z6Zxj9L
02DmwEXQtppstVxhGWAptgotvclKd71Snf3n4s8/Gp5pnIu2CgxmacLzeABf rrLkiWGhc/K8
yc4wds45DikzYMpl29TLtqtzyAEK9ygKXOJzoNguiAcsFosyUAzoIBCMAKbG 8ZUKz3X9z6Ix
RAnqCPKO9/HLFU4S+2ygJlSb7ORN7wxqojToqrzgzHtvcH6jdhYsY8kmkW/Y yjNwWTJFhmk4
svIs60AwHdvFGQRlAyEYQ0bB4HOg3oSjg3H41SHgsdFYZuYCrck6Mp6Zsq8+ 0XHSF9rD1lDo
jvxfNy40IYZzcEeGorIBp67svpYJxOdJheVCBbmUhiml1a4BTGDhjPiOISOU sEbfBp4oSqN8
a3QMSCDimdkLC6gtjF049TBYg4hI+PlMBYEsM4cITqEB8SuZszc1oMIyEEkW fPHIB5psIBAJ
IWJ8bTNqp6zxMesJFgY6oZhbC/QcB7j3suFlxfYhBq5sSJbhwwH1WsYe+Z2w 3+DpRRnnTH3u
o5EASoox7MVWMZFmSXTd3RddBZrsGfh9+EtdsjfxI9QGl2Z8lx/cPgqDHLiV H1z/n/1g9FCp
6sqx/CBAP6IfjM6Gyy34pwd7BMDaLT29+MmWZUL9Jo8vU1XI+TTrHwxJYLYC ZRwsOERCPy+B
FUIqwLYsHI3UAH0fUrcavQ1m8hzabkbqCMsYiLIygxZIyGxpJbUiSlI+HyNx ks74RIgLdGLo
DIJCQxgGX5MFKgYgEMibkgIBg2U2mBHwVBv5miZUvPyOTgWqioJFwlk24iVw h4hRBrzrnP2o
0+fvf30otPD1aSd09TBosYuRtAOaPwxagt07urVD6JPDoB/V0uXzDujaftA9 aMlGFv/L7KxO
Fsf7fPz1kCyh2JUtBHHKq9FI4LtUXXuubU5WWBNsr/6tTu5iJCKD0T3Z9bHw V+1Jz8HCsqsD
vMVTkO25CqB7aWISUfQPPSORbWmSw1lc+fqlQXyTk1ocalCRY4NspK4RyTuW nrC8N3wa51lr
lbkg85eBvzWZ65Td4zzm65zkg1sTsoum5U+nT4+xBE3VNU08hSZeQ/ztNppo URfTROFxJ000
yUXTFMjJSdUxTc0mU92LI/IcaBpQst3EwJHJyhwtQUnRdueUTlRLefGg38al ZuVno+EXZ9ti
vtLFkC3Cog4uVks2Ez1ocPGrzJCprb5euAABdw5Upslg1wPfGlzwOD3/cKIH Omj99uxS/IiD
VtcOWhpePbR+iYPSJBftoCVYWuRZK3bQT/s66Hs4aj+g6zp93VhzxK85OqEk kUtp4RetG1gx
R7T1NeaIQuJOjmiSi+YokKNsykkmkf0S/buTyCX43rGpUxwCA8goJ4ncq+0f OU3zEZJI0JAc
IYv057Ub6SMemsgiA/H+Bf0SD6VJLtpDAznbPPTTMUoR86f5XdnOUdyrrFmq ZPJIzAKtMYlZ
oLRFH4kv+xIP6W7ma19Y0JA0UT1CoMwd7WGvVH5SBAWUSPkIBcvW21zcQoHi FkkBA/8+Bgv8
6TVu7cNCIhBqlAW1po1GeYzGLNG6yg83TzTJRaer0446zEsccbq6OEK2Ks0q W6qFBEU1n6Jk
70yLFlr3HfNAISqxZcaFe0vpXa4oSFKbXAOHmDI9I0qrkO0wTIBn9paOhNsl h1JNZIuQWA6l
aMkc2ESnM4cc2dA2SkON+v6e6q5t2fHy0mtRIaIK5/far2/bNrG1VdB+/bT1 9EU52rnNtHW7
KG6/Ppp5An/Re6kfeG7zvg3jR74HuqJ0R90wTvpbznZxMF6hjS9gu1iu4tsa VcGoBDtw41Xp
mLMKFTyY+s6tRVxru7dUjCD1+kB+3g3+5pfxi+G13ypvoMT5mKZqnI8pH+xc F2mSi14XT+rX
vXqOnFXMrNuucPPmOC3nYsmP6e4eZfv/UCtZ59vS83bvS7UpWResvMfFKLG4 M0Tul1cWcbGH
A0IkUTqO+8vTWg7K8UOEJrnoEBnb0BvnyMkJkXBtPkqMjJd9v9ynzDaqvH7D Pds9Cs6DCrTW
+kA6dbybezAdmWl10hqun6R8NKfA7Vr0M3MmPC9GtH2t0C8JQuaAeXPASgMl POmNjt9pF4F+
6fH7a3+vA/IDj98J+j6H+ys/IaY93EUEi9QtlgJGyahPKOM4Vx16Ta8wLKP4 XQAZClw6WVwR
qrz1OmO6KkZGE0ozEmni2ho0QMtxjGSmW9+iQ9RbdKBlWTYOxqDMoPrm5b0o hW+/DFhZXQZM
lqsacAGxBkpYKbiKeN5d3d+LupZt0OH9RsSR+tFSSbbnqp+5hP8k5xI9lH2b APUmtFBuZ3Qz
HPSEPmmMItjyyp4btwA3zExeNLj4uiH59S9QSwMEFAAAAAgAcqFMOpK7OPED BgAAfVgAAAsA
AABOdVNNVi5lY29yZe2c30/bOhTH3yftf7CCdN9KgL1cdXRTd+mmSitUULj3 bTKJ21kkdmc7
pfz3O3Z+k7a0XFjikmkaWuvY55zPydcntsPp52UYoAURknLWc44PjxxEmMd9 ymY953rytfO3
8/nT+3enxOOCdAdj7N3hGUHLkHazq07gqvfvEPyBzpjswpc956dS867r3t/f H/JwdsjFzP1v
NHTSJrLc5P6DaXFydHQMzb5feT9JiDuUSYWZR0q9G0tKFxMvoHNJTA8knOpe TtyBbuYghkNo
fB5djW6SXpi8vhz2nCkNSNc9g7/ci0LClHQnF+POqN+fdMYC3yl6F4XuPRd3 co490sEqcK/D
4AS6Cheu6fBwKX0YQY4FmdJlOsonPcwp6TPGFVYQIIkkj4S3hc3fCBtxnwRx H9CLTxSmgUR3
5KHn+ImhplMHLXAQQZ9/HSzPPsI//Y/6CmRsQNLED0WS+AhLpLCYEYVC6A2F egA05QJhhnCk
eIgVtIo/VgIzCd+FZozDct+OG7vmFn172lvXuBi7a1w1AN1I0cAdLBVhPvFH YNkZVni1478i
HNApJX7m9BQHkmyy558AS6mvERJBrnXVwxwuS5LYfJmmRor/knOVDf/S/jz2 SA+dOZP4UW11
R1nuckiXEIC06QqntdlXSkSeigQOvhIMP8kK7/tKCXobqezmiHtGEaO/8tii aD4n4guPmN9z
OsdOaiFCZFLsTXupP0Bb3Y8HrjtILBvh+YAp8VAI0ctHfWNESUA0+H9p4HtY +AUMG3F1yyTW
sXBXwNiJ0yWZEkG0+iWclqPv51ex1kDwtiZksn17PGAaaP+Exz8zSnnvRiMo BK7ngBdgncdB
kygLCx+BQzxYkLHgS0pkmlO1kcZZym/JOJ5p5ibWdZC+GsYz4HfuJWrfwn49 2MBDlsP955Ez
PW/Hk3+Z9UmVNZCbxLUGWvAALAtIyqLCyyeCLoi/Hl/ee8M4JvK8LUUTkB9x BDdfYuq57LqD
g7g6Os++eTZ8+KZQd+xciUz60HDG6ilC1A8cj75VMZKwuWDBw0uUJJW7gTKq KppXTP8hNLjB
4kabU0jh5qvTjlltAlFTOj9fy8hyM71zaPAW6JlAWCpGXzgPgFFdanSbDF+H HFWekLQx58a+
gN9nSf2/H4o+6KUO3Q7uibgCsyazs4g0XJtWoox15/VY6luHYFboMmKSKIVv s0LNJs5xuKyV
sUhHachqWtzRSpZZ0AwxA0taMSsleRoR28QsB/iKMHXi2itghRDZRjcvoFu6 a+gWQmTp/HRG
ppSRuuYmPx69EfMS2NJOS0U8aUBs0y2we7CcQ1tpVq5bnBnOQlgslasBi8Ia VwVIMnwjBEsb
0ypWEVAWEdskK84rsypQ3gbP3SgzXre6+aZQW70w8C3CAqJUkOSaNG1WMaQR 6mbMeixtby7N
4yjYJmfM7K+87iKnZSDzkFiqV6Udz5qkihZtaIRKLbBoS7AipDQgtknWIk2r lmRO0mrBGnH/
kkzrkqowHr0RIqWPsbcqVT7WIu3ccYG0igLSwizCLMTETpxjLOB/ioj26X8n 5Hnc7J2iwI0a
pyg9eiMOXEKxQfX+33pV23Cc7ya7eO9O8GVxabiyVYAmp3mfgzM5hrx/MCsn nO1AmWzSPgdl
sru8fygrG9eNRPk2y8edX8Cpv4B8mUJC1ltJyGaUEiEIzbp9A61JSdGVc947 cTIRaLg0VbHF
WJ4zyyRE9xDk4wrdKlEqvWVTkzKxog2NWIxrdwz2ZMdA0nAOVUO+1fnWwD0O QMMBVmac5OBD
geBTL7nryaZ6bmP/5p1KZGydgfJfiPPnp5548GaUxEl9/tSckxdTcg+zuvqU YlUyZ6ucNeXz
iqXIGlNavxhYeghI3xfe4+c647Nts6w+qFkClR7h3mNQxmfbQN2aV7FKd1T2 4uges7odPtm2
eaxgKnu8AqJPm+wxJu1xwylVnhCxEPhhwOAO8snyBZ4Pr5neP3p8Rzbn5cmd F97LAbIS7xXY
oVrAmwAXQmQbYiovpn3tgwb0Rn9jx87Qy0FrytPWqZvgSX6FMHz0G1BLAwQU AAAACADTZIk6
rcgK7cEFAADeMQAAFAAAAFVtbDJOdVNtdl9vdXRwdXQudHh07Zltbxo5EIA/ t9L9B1d3UsmJ
W4WX5oUrrUhwKk6BVJC2H6oqMsuwceO1Oa+XNqr47zfehfB6KbkMd6p0+cCS 2fHj8Xg8Y5sP
jW6n1XlTYzE4EZsBKBYa7YTUCUtgDFagQIkkkUMJNmFfpLtmiYiBafyoMd5w zsp+6uCnpx8e
yYLQWKjVKJG8obVxwkmjCe0jZPJT/5LONiJczsleEttGxORN4cTl7Ygw7OiI nOs0pjOMhpZh
zqXzirS2kUH5mQidsbd05pEBedu34Qpi0I7OPloq7+BjQG4kLZVf9D9DSGge FY9fjFCHtlQQ
IvlbEd6IiDDhkQGRZPGLoywWhEjehSFY0CGh7wiRvOdsGroU9c5A4JPQzB2g ua+R9EmGlspP
ZNSEUMaUtY6S6WEt7SCiXDOUTH5ijAJBmAvJgDMSdSEhxvKTW8pTEQ0twzSs FYSbLEJkxiKf
V0ImP70WlEciElqGwZ0uWGrXkYP9KYv2zEaxKJpSRNokToY4YEmY88jBvGnS vqL0IBFvCqIO
QFoq5+cyIbSOCJedov1BwRCmFkomn+4e22JEeDYnZC7AuHakNwjUYH6mjCCM QSJczqFevqRQ
3qI8cJDA+HS/Te03Yiz/Q4wF8U0zITJjUbuQksnPjY7oTKOhZRhqr1EyOWm5 oKkTXUhMamlv
gqiId6geEM4oKZT3ro0lNI4Il3Oo1wIp1F/FScokQsWbgi5N/qTfQe2Kzy8t QMtR75tpqfwN
aLAypP2pkhSaXb3u4AZ/BdvqnF3UEKBwObGhsUwbGyMKgQ6+QsLEaKQkDGqs B3+m/mqdfRsq
4dy7WD3rOTzoX+0X2YqktCYpr0kqa5LqZGbO+6zzchOGUsPcgtV+H6Zeeph6 +WHqlYepVzd4
Hhts6/gzrzr1wp3X5sKV3oOF7hdb/vS0x9/zLq+xX7M/dsLftDoM34Y37NIK Xz1nGk9iSBIR
ZfWwe9GtYfClaoDR4rzdA2ZmP6llInzMrC5chKqhb/fYtRhjomFJipoOgzCp sY+nRvnhY7OZ
2qd5l40gxugu7LEae/3652qZ6VSpBYuUCb2/hJWir9BhdfYNvTms4zDLnbQX j7Fho9dum0Gq
YLLWMMmGWWcfl7q8ukLnh1dXs25LR4/qtsigjp7UiQTtzqW+Yd8sirHR82wS 2iK8xpkq59rP
iyzfFUx/ccnh+DGPnvbVqfKsSZE5YSNwi6oOP3SaxONnL1Ptl/3gFeotmTqZ bO8JHz63G8ws
lHCInaVh/T5113GZHZZqpcpvh+Xai8r9XnP1FVuLzNbvRtqFCMPCJ5ekvj78 IrvP5xsxfhrr
G9dBkSkcwg80T2t+WxP8jWPmqWSy+M/3eQ8WLPEnn9ZSDe80lxNNnsM4Lr40 SyNYnWKcIwcD
NkiBOcPAWsyShQSAKZHq8NoXwKGM0mniQRWhlPmS1UWp01wqhkjK2yZ7wdyO naexz3jSDZTQ
UdBN0Z4Y+NcQRl7pX+j8iUCAjQIIlRwlEMTlOBBOBaAjDONgHAc9GY8UNKGf RhHYIHNQYUXo
h1ArHb/Y2wroZ/PMbyyCEW4pXfZ/NrmFhVcZcgfE0lZEjCc5BiX7AS6K3FuB 1GNzA4W5IB/1
fmUrom82m7bAglA+ggtL0oxXru6T8iqVo/+eB5tZpUPy2ahuNxsPmd/tbPyh 5vf/+XjcfDzS
f9jS3xDbkfVnq+Cl1NK9KqxIc+uOj79PbDh1ntU5bJUXvMKiKDftgApU2mKM 24CODu/hiIGb
NsQy5nG4PUuVsO/bgU31Aquw9C5fEeWDHZGr/5Q898Gqrcf3rd41Ym7b6eJu ponnwgh3P2t+
3qw1HceGTge+mOOiw9jDHW/gbwGCDaRZP5teZfDDg+oO6QelLeipDLKtybvW W5ViQAb9VKpB
Qw9ybGH5ZR6NR5vSwHe4vxz5mNmEK+0fbUp82bDvcJ9NPwk+GHuDS8Jzpl8z wAu/8/kLUEsD
BBQAAAAIAO9QiTqNTGKl0gQAAJ8RAAANAAAAVW1sMk51U212LmF0bNVXUXPj NBB+tn/FdmDm
4hmShz42wBxwFDrQ44bL9V2x5VjUljySnDZX+t9ZrWRbTgJN+gK0M4293l3t 9+3uF7dRRVdz
+NTUl++7j812CfM53HrjijdtzSxPc83xA2Rnmi1cATre3kGpVQMlPrcYjNZP t78u03Q+7ww3
lO8an+EnGeFtXvH8HkQJtuKQd1pzacFYl3fLteWPoHmruUGzAQat4V2h6DmF R/eQMwlrDkzu
QPl8papr9SDkxmc0VyCksILVSyg4b38Wxiq9W4KpmHMc7v9QQi4xWt/jdSdz K5Rc0nkAyfgD
+JNXSuR8CVif3n3AOIvXj8KGS8t1IySevUjTitct15AribCsI+bizkMseIml mQ8RmCv4Xqma
I6RvIE0Mr8uFyusb84uQxW/lzAVH7tmr2JSODuLD+7xc4Y2nb686PO/FAtME S5LQu96jF8Z+
EbUByKFkteGYk7uPfW/Xp6FNkf/fuLs2npDV9RlO8Osn4QRXPxUnOI5jM3F2 k3Xcvx+t09yH
8YvJGryt7qgwWWDcmX9TTrz7jGRZJq/a6BLrO3n+rsn5hN0gx49+NcDXZVUL Nd/yGrRTMatQ
MOqaqkzJgvLG60svcj9gCUxILOYJQaKkpUlivJpdkB/Os0Kb7XXv4p3KuwYx /a6UhRk+SqSz
kzN8PYfGXSRoz77CP3Q3xK68dFJUQ+cbF9IncPdDZGwcE/SGKIXL4MolFm5Z XiGcBSK+kUi2
zLmZZS5n+uzpIQpwFXAqmDR40TAadpRS5vKEFjY+ESoHEsiC5ocDA4/xgYHO IyzGXgdkBjwx
nPesIUhmIfHKMeEoSbD0L3OUeY6riTq/esdLV56vy+5a5CRXOIOmVTik6IFl SweuRv0r4ukz
fToCwdq2FhiM7hyLxJndBDbcwEy46OPWncXUFl1x6o3ASdsRoRTvI7weQSW4 Zjqvdj2KwldN
8PxJ829xrhHUTMOfoBemW/vlcd7J8HCLD3HTZtvFoM3ZVHXCNxWP75xguwi/ TUfck0EeRgut
/pjP3WaLgq+7zeyNr4bABm59scif57F4k6XgKw/NotJtJYzv9MLv+aVv32yb ZQFoJ5GM2Uus
TAgZoB2rzzf8SHn/WN0oJ1GFQL/jII5NHIVrb+H26sy9yuBYxtswy1DXTHZe MW6VsZAztzkI
sq2YRXUFyQVOg+7fklwzA2GTdQ9AC57XTFPetGafd15XJ43s9x6ixQ+Kfrjz IWQWFmK68Imn
GXEWCp7QGFo7PW5o5xKeT6aiRzuhZAK499gyLdga021Zjbsxgg6755vibl4G jqWNIgUPlUCR
GJWKhKc/duiXAZhS5o66Y/rOleOJwxKnxJ2l8ZEcntHyg4E8Ivev6/qxjh+e Frq+OK/tZBdk
o071/1zMPXyP36NnxohNjHg1xF5jaPSee/kduR5r/xhzhIUQRiy4tnsKjOp0 7r/rpHshIqNl
esOtYwZeg5WaOkF6GtCV+v/BPBjnE1DSeP0H8YUv1j2Ya24fOH5/RxJxGtB/ A+FbeLGDm47p
ghcxxIkO9c8DsvmcMv7krRG6YPnx0f2nYVyaJ3T2ooSfx7DiSwZlp/fCcL0w Lc9FKXIqM3Oh
SIhLEFFyeNaMXFDiDxkKD/ZZCg98AWQ/cj75uCKe/wJQSwMEFAAAAAgAbaFM OobCB7llAwAA
7Q8AAAkAAABOdVNNVi54c2S1V9tu2zAMfd6A/QPnpxZo4nYFhiFoVqxAB3RY 22Fpi70VSswk
AmzJ0yWXvx8l24lzc6slDfIQ0eQhzxEpOReXsyyFCSrNpehGZ+3TCFAMZMLF qBs9PnxvfYku
v354f/Gx1QJMuMEEptyM4c/tz14+h8mn09PPoDBtwzno/AyOxsbknTieTqdt lho5Ye2BzI6h
P4cfKDT0DHKBCo4eHuFKMSv0YDxFPjqGVsvlmemkQybMGFBlQnfI0I1qoNPz tlSjmPKexa4I
7xtR6Dsfy4SQhhli40yFLZEDm6EozA62kzJHD4WLA/e5s73bJygTW00smQbD 1AgNZGgYZDLB
FIZSARPArJEZc1oUZqOY0PQs8xnaBeZFvJHbVxlvlumrxBSdIwiWYTfyBT3f OvgIzDwnk3n2
xihehJCyeYqzB3pchlU+S/Ia/1raUfSWbZmIgk1RL7NUhrgAiddRCkstd2M9 FVpIRYyL9XLK
albdMza7Hwys0t3Iir60IsEkWqG1A+YwpF7HqanICVOc9etlLiyhfJnWfFST rVyHwiQ4pPlc
wpTrXbKVQ2eM4n1rcEX7O/pdAfk4chKjyI1XN1IEwhXljcPVX2i0rGAwlryh o/pS1sbIrZ6Y
2qpN4Y/CZkt/t2r2798IU8f3kjrb7hDSaKU5f+NwReUao60ac30//KYUmztp 6jI7dsjEVp23
QzEH06PTztxQ3bM6GJ3P1EUFlwJQ5u7UYumLgNci+Q84d8/4cA1yCEUj0f0y ROVaTtMzSiIN
5JL6m3oAuCgO7xMYkw+YMc69kzuqB1JMUHAXWVwvgY1WNUrA2eVCdjR+Q/v4 PKnduo+HObGq
Hg6g4kICqDSdKkX2NYIrWPvyq81cyG6Rf/BupXKK6srlq4fxxmm3ed4Yc4AL yR0gAdS50OHU
Gw/2KsyNcGHyQ4hMz2HMRJKS5YQGlGugr9WWpSnNKrhGB3IkNcopDb7mfzFF K4PqzfqrvE73
uPEzLirrabTYBF67N9yKZrQYlNeP2DZggbMasFutAe+rx0qtAW1Hd3dw102q PG+1uSv6HJxM
/d1kG4rmrqI7X0MTy4CpGFmmaLmBaZ7LJ9ezXKF2f/oWpW68dewp6mamAGV9 cFCTiBf125dQ
+SocwIIigpudYmqS7cel9PL/amn5D1BLAwQUAAAACABEF1c5BJmMj5ZyAQBi hxEACQAAAFVN
TC5lY29yZez9/XLjyJIvCP4/TwGrY91F2TKlrrqzu7N1buY1VWaevrpdVZld mVVnzNbWZBAZ
otAJAiwAlFKnqx9iX2mebMI/IsIDCJAgRRKkhGszpytFIBAR7uHhnz//7//j 6zyN7lVRJnn2
+pvvzv/lm0hlk3yaZLPX3/z2+W+v/o9v/seb/+2/q0leqB/ef4wnX+KZir7O kx/sS9/rl/63
SP8/PVRW/qB/e/3NXVUtfri4eHh4OM/ns/O8mF38nz9ffWMeKf1HHv4bPvH9 v/zLd/qxnz5N
7tQ8fpVkZRVnEyUHx3l476pJmixKhQOo+S0M8v3Fe3jsmyiL5/rh5TylIbLy t1+vWl/Wj31/
8f253oKL337+Sb9cfizUbfKVBnijR/jv6m0al2Vym+ilR3oRP1SPC/0B3px3 cRV/1n8w373K
KjVTxTeRWQi+/Qv+lmQVDgmDXmZZXsWV3ssyKvNlMemwwH9V2c/5VKU8iB5m qqo4Scvoi3p8
/c00nyznKqNRv4nu43SpB73M9FRwTlFSRnG0KJJ5UiX3KoJ1RIVaFKrUb2na 2wfx1fL8mwue
7YWcLm7KhdyVLbbpxzxPVZwFt+mGfzv8VkU8LdoavV3LUk2j27yI0nyWTOI0 Ul9hu+AIjKOJ
nlBS4sblt1F1p/Teqqnmnky/RFsYVcVSRXGmB4lTPcc97uinqtAzCW7of8T3 8XkaZ7NzfqiH
nS3xy8SCpfpjqeWNgm2b3MVFPKlgiUmmJzFXUblMqvgmVe43/UZFtKjyaJqU izR+1I9rwszx
O1F8ky8rJMEc5nYevZWvltEcn5+ky6mKsjx79Ws+11SO08VdfAO/A4XcTPZJ pt+yFM6fmv4S
V8siTo9KUCzN5PRkcXbrRUbzld0LD/zRbODbfA5z1zfWp+VCFbC35etv/nJx 8T5V+EMPzD2h
OdFuVeprtdT7ENvva8aMq2iiOe5GC4OqivVVh6wcI2PrU6Bo7qt2DZakj+9y grv8NwW7rQKb
dVnpk3azrCzH3eTTx2+ivJgqLZ1ef4OCSO/eZ3xJ7xvLBF5wpCmqJ4UH8PU3 IL7cXuxmS7tt
6qeFmgA/oLwg2YG7qLcYjjnvuN2v8I6tmfMFTpQmjRPGLbxYVkl68f5rpbKp mv6spwpnuHX6
X5JsamfNdFw9K/23JiE3IfGv6lbTEpQkJjGzmpqaM1AntyPuQp+ZH/Nlpn96 9Z1kA//4HJja
dkVEXZ7LqDzTJwZIz+RW0zUEb93ap8kcu63xjeZFfUnwyfBlkL6VKriSfrhY pMtZkgF72V3S
O3RO7IU3FCmr9BfYfNy0/iRYZiQQiTDQbKqkWsIftHSKza16qeexnNyNo6SK 7mI+ifEivknS
pHqER/OHDPUh/UvRVap90FvIq6Tt1k9c64GuS5XeWhat3adRJ2sAtvZHT508 MGOLnQUdRH9X
6y+FmlSp3i6tkWfuXw9aUa9gyef//Jev7/6q/+fyr/A8/ilO0w8PmT3g5ejs 1RtWaMoRPHG2
XhJ+1PrNXKGqRfs8TeJZlmtKT8qnb/M7O5jWvZJM7tOuNrzbln++Q81Ra5Oa H8US4cJ9uEsm
d1qfyfXtNtecXij4K9zKWi6CuBfypXUjL8ROrthdfYhAFeh5I0DXQD2bZvOq pHt1ItXnDouG
yeuJqCKZIFsI4fkEnvk5XvirQia8LGa4mnJHX/lf2vz5cPMf+pjJdR72a3pX xfatYCX9JycP
WyWkFr4gIcHPcNLi0Ygz0u3my7KCwwgrm9K/7uJ7sJ/xT4UQjCgU4YkfFcrF 0VmUzBcp6Iv4
6Ks3eg3v54vqcTRIxkEyDpLxpUhGrQ9VRR4weNP8wVo+3/Uj7d7R3EDaaTXb 6IU3j1Gh5vk9
6M1azYsmRV6W+k/OIsovbot8Dko3+Knsw/rf/PcSmVgfbPiztnhwGaBf5rjd 642mblfOv6nH
B72t6/ZWGJW9Xi7vgHnmSaa38OFOoUXibbyxYPjg6yvnCy2wg1ehIdO+bLw3 ni+2JyHIswbX
6x9LzZ3dRN7Wh3OmKuahsrlR7a6J2k4d2DOhP67u2THB+1ViTEAy006OWDyd ntgRu5xOW84Q
aA8bbNAzPFPg351uqTZ14xe8CdSJscyvOOk2rsEL7cXzDRF2z5L4F6WV/LLi 6P6qCIF55AgE
cEaTjhack4B2o7b4ymikErziw+61M4+pxhGKb+W8nuh4i0bJLWhVFPSiL5zt RLLr7aa1r9jl
mtu2vz1GZ++WO7uT3UrKT5qfVQ4O+cuFtuonEI06FQEXVDulrCvt4pDT7AJ3 cWW6sTeSfval
XiWg3JjDKKSS035Vfyw1T5/MRbohnxW8vE1V14HNdstmKNCeLZfFtLpBlB2c x2DnHz9tvGcy
3B09JYLNnr1+zNAFuf5bOXNgR7kVyCr75MVl9pK58bcsXsePOzFznxFHMsPs 2eJ1toTbhQ0d
kY3N69FOc1vI8VMI2rWbE2POgKVUurxU7iWrG8bZVJ8yTFWJ00LF00cOAcKl vitLOESG1QmK
x7nr0YO2i2tn/I9lnNJ/wXJtyuIqquj9zpZpGiW3UZZjflWrhbiNlLAzgtTi E3OJ1XaTs+zF
ZvpSpGBC7VmMNJwT+PtaOWJn9JzuutazEYut2U+0pI0SraLkGW642GVzOsL6 Ro0A66SOHFd9
TUqRw/kCFRTYPcqPEUIGspLENu1Z5hjn1PNVXLb1Tz1hC5+50tG6ox10DvPu oHHAVtud7EXf
YI/h8z362zkNt9+/Z37uW7azw6nvaOm9kFNv9rHXQ7+8KZ/FuffWsVJXfaJY eIaaKNSYiQ2q
s6e/tf2y6AmJVjntlQx5CMn7BMH7Ynj76az90i6u3e5e5zzx32GCJx3grmWJ x9EIUCOm6jZe
ptUZvcpmFaB+5HoTqseQoECyJFmrcHl5B77FrVJBVp/czR2ecDPkCR5weawt nx0uW7/lJLdU
xD3FpyqKg45AOaADXt/3Lc73kG211o9q93s48a0n/gHjtcSVB7rHy9bTfwSV dJ9UNRzUAx1U
gCgazujGZ1Rv2w43K1MPG2nVe76a+9l19dCiee9TDk4KFVfqvRvy4Lls4tO9 CNu3uAMlBjwd
pllAxnLdMRQpeyaUtqCgRpnqSp4iXnH8E5MVvCmGZYGJ3S7uPWqc0p/u9KI2 cR7LF49BHy/k
QuAa59tJclkCP9zn6f3uMtWe6f41nJ0mT/1Juxo8soQccXCRSV/t9dyP9D7E Z9Kp6RPhgPlq
uNx3WK+nppvxtJ2W4+3QQMfA41OeV22fhS5b4+uY57ezbLQXvc9hofLk3R+k yhqp0kKOw4mX
z3Gh//elsv0qBq9wZ3YlXl72Pm8uXjrt/iBejlq81GFPN9HBewU0puCsKqCO po7cGs0SYHbA
+vI2GQ1nA6zAIIgGQhdheC2WrABCLFS5TKvoNT3PH3n1Zpnp2Yz8v03yNNUj j1T0Z6QCiLJn
a5ASu5FMgDKeSgjYEauGKKlpMUHXh4kMS3KgxMGjEkCqjD4tbyZwninZiTeZ EkWmOeIAc1Kp
fYeGye9VUSRTRcPnZndDFEcI6s0pthXCuOSkp6CLA/5kNlOELs9Moa1LPUML N6/XFWdlop/m
P9jh9Uf1yZla8O0Pi0VeJpX3hQuCRe2NjyyiKZ3fm8dNgwqh+eJpFiDaO4aP ZyTZNqruhoo1
6rnRW6k47V2Ce8cWsXBOg5hT2yRj85NqX2VIybkjYW904Dnt9lBBdpQClcJB bbaz4Dpy/fcn
9RewGFz1niYQGysX8URFDoYLTp1hTP3Xz2oOSqf88zeGgXZCpm4tUAwgl2ma pBXEWZEvF/bK
HKN6syjye327gX6e2bUZ3zi+IJQecem5D0AbFbxr8wwhTud6O2HYWy17/KpD PQVzgzt4Y3is
pAFulMps4mX0o5rEeubY7oYGkzBgY8YF06KqTLiMF0vWxfNwqeeZ/pP+jV/T q75ZasUuLXP8
K39fLMw0V0PDJk6Tf+jZBUiKmxdgAPmaVbHlAxCJRJvpkROrvY28UUQtzHGr +LP4rTj0Nf+x
hfnemv4OIS6cLolQyhk8/x2BmOGUNw6LVWK+2VzJFFZQu7rZi7G1Y5UzoCHS hnSCsA6t3nQz
a5eRkg5CCBtKruKKhuFgFnq9WN5o3rjOi+uF1hj0Zpw4yP2VNN1srri9ytyJ hFTT+0TLF2yn
YkUObgeIOt6OOgy+vKjKV2+0NL1MU7by3HASEd9i5eMD3L3ldfQX9yn5Jv5C nx6w9Acs/dBG
DFj6zxFLn1JfULpv5BEFK8LzZfaTrjLKzqKR6dh1FqE7pjU1MC7NTcquZXPd snDexo+cnWhm
m8xVwV2zBUw7FFxJecmkeYKb8OB79HeBgWi3Jyrv8mU6RQnPa9p/Rho5bzM9 R6Mad95F+Va/
RzRSbirD0dzwaIq9e+IB3ZjvPpqOsJ83y3X23+uZ92ptbQf224z9/O07NAdC n/XiNt4oHdS9
0y/nUUd2nMnAdRtynd25gzBcUn4kl91zQ22WPs5a0foTGIxH3ehCoDd6ZTK7 GQdEav7YtlUt
kZlnAV4ncZony6IAfxi6GBNUABs5PoYwNdYkB/WyysGxMIlT8MLzyAGkptKU fYnRrFMVxC/+
7Eb/thShibtEaRoXk7vH8wj8eNE0uUVPqDdxOEUMl8qnaVyb3zyZFSz89TNl mU8S6Ncti65w
j8pIDxdH//zHMq/+egM10epWU7qiP0Q3cam/NdLjTu6wL7YIMcGmlDY4Fd2a kOHNI65nXSOT
53igD4h1/SLPcxvStdl/B3PdfnKXdowVRxYH2ubQvkiePyCaNpiCFNPcJDWv vmE9ppvakHAr
7FQ3faj7tqXp6e8c5C5utHsSfNy+JJ6F+sAMVC/4nV4ZlTvrveVv+MpWZ8ex v1L2bQ8/Zfc+
AD/VNAAG0D+JnSTE6WHh1F4okwKPgm6syRCQBSW15uPkiOnZwNJ9snRw3wql LbryKbBf/QVz
cj3J/AsonXW+2/eZT1PpYNq2lYCTCRIH/7h0hJaOAO36QfOF/SoJgR1cL4OP aL/X9gNo8abs
UZaeuClFiC5yTw+nDbxUbjwaPWDg3eHa38vhTkqc9k/JTREXjycdURLHFpPl CeEnpZXt5F7G
LNRU/azmN3qbN/KUNNLX+y4u9NcyOos4u5rzRef0d6z0NMn3Jkk/nkxUCYn6 +bIqoTowCdaA
0hCv3pQKCz2jefRnhCnC8/iLKn+n74/mOyr0FGOeCheLtHu5I5IUxNuOAvig TOBmMgpS4Ba7
yj+0hfVlJDKowe3tua9NVrd8poCP6QH5A/U0b0NcUpRVOVLpWYAHqOj358DD Z5pI+OyIp3I1
X+RFZdlFJX+q5DzBP9qEcpcWfiYqiENPnrV9jUVE7WuL5M9FUs8yr3+IHjIf YpIEd+JM5rdv
k6aueak7E4NvIFAbtsti22BmlWX2drlH7+2mGhPGumDy9aVQmroTsiVpLuIw WcczFs3tuBSQ
Gc5sQedqwK0pzx/6WRWzrYj/0Xu/WcFZo698/EJrciq511rQxyMiuJyhILZf B/qxU4RmU+Jv
VQf6VMo/pcY+oPEcSxHvJzb7vFOMHTybB/kQtLV1tRfittwfccG8sNfXE0i7 K7lu5BqbPcd0
4FdI+I9N4+wkhXxt1zvgLmxL/hVkd+x4DFQ3ynYNaGF/h99Q+cJmjexRtK93 5XURAYFR1l/w
jZcuMDXkyA59IAbC8cKu9fvkRlTHpArsBBLCu8xNcZEv3EOYEdZ6w1PfhAXo ESFC3vqi3J3w
IKZ+mTT0ob8xGgHhYqWPXs10E0nB1yowJYXxGkpV3KveMAwuq6pIbpaVFQvO 9F3l2f/dPvVv
erMkmgF3I0JY+J8SoG+qZQ1a0P35Vq8sQZGAQU0PsQvi9CF+5IMc+1Xv5+p8 LB0j+iJAaI0F
fCnuku/ftux2QAPvThCU2QDU4Gnn3fMo1E9644z3eIz9Y5p4rrEks05ge36Z wvCah+fij1Pq
iy8vNHMsS/DDx5DJDP+hvi60OC05fmGQTDAyBANGn+8w9zrNHzgBFNynHtA8 48AghHXg3Jcw
BjhYq2WccpeQMlKwXEzQ5hRWFZgQYr083OlLiIAaSpVZbJipnmwejdT5TPMy PiOEjn72Bq74
szVCJ9Rb7TrLr22axzVV9Jw6OgZ4XBUdc1woRvUQ3oeChqzmwPZbdQ1Eh3hB DuFnwQimG6Ef
Ff746k1SGiwM/S38u+YiaxaWozPrqNRb8GeUlfX3fIej+0hkwTVwVC+dSLw+ AGkMQBqBjRiA
NJ4jkAbI7WcltP8ON5qVuTELYSzucKi2bWLb6gMotutJi3o8/SIVMsn7197u rUO3SHoBe4Ql
UtvJevffRr6ztG9K+eh1y0dQSa/USH8h+iGyv/01ouDdDxHlkJr3cTvEdAjT F38qFSgwVV7g
3OgHGmSr2Ndwsww3y3CznOLN4kzV60ypaXmNWICI5X/aNwwW23quLOMGcLh5 VoIiVN40V/RE
w6cgLgZ7W0gLwCjsEixvUNQHcTqI05cmTglg5p1Cps0mm2Rnipd6EZgO12hq Z6JPYPWgFJdK
+x436tLotW9cYiylGNdC8N57UGit9Pkuq6cAhZhPbZty1evZN5P3cGncpu+5 MOCn+CaUqtZa
iNZX9Y+m5ASBqadRClN2JT8eP+2qeud0tmXFZozFpsk6h22OmBnpZDPzafp4 wHDP9g8s9lsZ
ysdo3y96vmdpv4RJDIL+YIIe93vPMv7fd1ODPLgEQ0USWrDuzzuIn6pgK9g9 GPXqC8RJKM00
djafVPWf/0V/1rfL7S5uX29tq0py7FN9F3/UqMEN2VBIKv1ENkHTTnCo6I2s ml4JTKcbRw95
8QVIli+rh7iYrmW+uh/C8c4nnoWhlCZg7bUmQy0K1EBH/nNnuyV1Ur5LMHlx mZR3kNXxN30W
T6/4J7gMrAJqFrk95B7BS0xqSPMZw1dN8lfqqx7MgFIJr9R59OOjydIZ40De BUtukqk/EWCQ
UXwGfMapE8sMOy8yDGgJ4erRjXzA/xnazTiMOuSDVXyYT9KrEjKLPtyOMvgX kApj4pn3m3kY
f3aMquWRvq5wxR9uKYsaH8VaILj4tNgEeRR6LmsKTmR0yHjpyrVBnWMTKOxQ IU940E3Q752g
W1Ub1DhdVpKfyJXvDpS4g6QwpSvMIL+YvlD8sLm/MTvG3u+U/dOawmEZ+Nsf fvh2R5fXh4fM
5cNuU2Pa9+431qCpUKhqWWQOhcNmTwKORub+he+5uufATtfvK1O/p9WRhScj +OtOC1mcB2a2
Te1pl7TrRn5lFtSdGyfH7vkyK1VVUU/DftvdobLHaq0UUOt9JU/LXN8kRdUu qjVV9Ug21C9c
L1RThYMYRVxYWEl3ezoFy0FOKuzQCqcKswzJwoF8RCrRNhGnQ1NqNWpVgFjM /Tvo5NkLVSl/
lJVyzv9sEJZCUMlU/zddJlZHu9NWPQKEop6P+rug9nl0VT3B6NT3XlzQRVbh U0UOcUt6w30Z
a8IzRDyy6GltJ98Ume+ZrRqlK5pi+usr4iFOerZekvJtvzrF/XJBH+op1Cxy 1pVz5Ccmid2m
ihPJcaYHp4SrU+pwuJ3+ub9OvfYbXgllLwT0q0vtTnnVZBvdpG3z71IfVEgz IjTInvv/wv++
t0nq3a8C+c6RVA1/DqbdGzOCSjlqYnPD8NJTCL2/QjDoz2TIWVOqDGscrODD /76p9xBdmxC7
nvraM4ZKSsVIJRGJtS+kkyjq0dSyfhBXNrKmIOInMzLtTa3Y6cAKCCO4iEoY gwwDsPNpWqtg
BiQf0hGt5qBsW9ew1Eo6XDNmS9q2yHRQ5Wl/19tu0UTkdmH9jNmzJEMwnb1u RV4p0OXsrL7v
bzN4Ki3c43MOh0dmkOcCMVE6d+j2g+neJQtT/bqvnbPl57SA/9bbvnGZuGQi lw5YWz3nC4oW
3jEJsNaNBn8sG3kl3Ci2aUGJFh77SpwPPvoAHFxz6tqRvGRFi1/IgF7zuPhC fbc1dYUHRmYt
RtFl9mjX2uGNVTJIGLAmrKuvtTQv5VAj8N1lzDzo/uY122GQFzX7amVffPhM z/UDw2Gt/MJY
Vgt2XBHso4HE2oiTn1aQ6ZkttfLLQGt0MGfQqaamv4qT2UeFpsj/wkisLymA tmUyy4zCjD3h
gUYpYW9GWvEJFFFyY52S+aL2KwfIk8JkGRjUzwKTa5WdJldszlVsSvzpMoSH KghyzeMMk0r5
WqS1eCwI5ZkJTsI8jYEYKOOz6lf6aHdBLybjoRqNhkx8n8eWYMJhBWQrjbw1 B8JKv5p3f3UE
tZEbcXCd3G0XuJLdPt8KA1k8NPaEqt4zzSIiLQX+KFhWcut5dJXpBc2N+xpQ AMJPltEIsV+1
MPkV1VA8lKbDLDykpxEDo81zjDbcg1MIWjcxc+RzzmzGlkqvbmKwMj580F+/ hWguJiFombpY
EsfO88I1e5X1z2iCFLmWVdE7vVItjuhP7pNjsGAI5/G3n3/CcGJZJYsllgbH WEWMxoxYablM
0I8qzhlNeGywIwmksGVataOgDx29BQcRXjBndsfGUkgeXlRxMVN7BNdhR9KO j1rA92HRAho+
smM4lw3pF5J19nRNNLeLExRHnwtQo8TxwYAzNC7TN8ecDzudSThEI1a4xixo 4alYSlpfJpzh
vVRxXKqcFEo+i1cLJKexuhbb4+Gn1O+NRemlPeO7BJWFjggvvSsYRhh7mkWh wEVDiQ3+LyY5
EeQv4noytWmadV0CU8ZqT5LUqD25l7uaaP908eEQ+NY6YO3gxxho8X2r9DGr nYWYeMcn1DuZ
nOoSyNfowdHKN9nAKmFWoe15VqzyNIm/UtIfD8KPnCa7e61CqZXYiVowOFdp yY06xBdwD2ti
ByX/PkV2jdLDeQyfR2HJU74gZv2raAcH8hCnR4Q01x2dgJF8cIQs8kOuRsfi KFvpfC4hVyI7
DEUWAzf03RQ8ivsLXNcyTk+8TvyS89u87gmWWYIptuwK9Voo8OuXhaplBg8F 4EMB+FAA/sIK
wN/L/hgbJGP77/UiD21hYBZR24xm5y13H5neW+7GCvTxFBGprdpqhNWyFW20 2hv39HLSLSJt
zju6Q1G2CgO2dYOCKSE9bY4I1ckiSctiT9iwTQ7sR9liZnNeO/IDa3tsHeLA 8seuN9/FfjnR
bNJwTLsfU8tYez+mM8W3oiukO8Vmbn5/SxeS5qV5lfSUI7IjeIsrvwXW6VQp 1dqFmzSYw+3Y
ibcOTLxlcOoNJcawi8mVJnjqZ2kj7N4lV55H4d4bYrUiiUmY1UgmYVlTmAeL xCCZk1Iy/G9B
UoY/qdYCM1qn6Y2If/K61NW7zZ3H5SdVjc5e4ViyHt5rN1fvHSday2H9Wr0n 49lueiPWi103
4b7jqOhslOueRRUmGdCGQkYOqiPxZKIXUWHJDFV+3uid5lp669QyHOWcYQ/5 Mp1SOhn4xTIx
rhUFY8NVN2oSL0vFOOuYVIcY4dj012TZYUGylStQ43ifTJeQCySflX+nV/D4 hBpKrNwMWqv1
3AmMC7lePj/11coa8avMZHa6x8Hnhw/P9QlJFqkZ1H8XIYJwR+yqMZ1DfxrA 6Y1y6OrZ4jSB
QD8h3tPKiKZMRGy6bMjwHCnaLH93pSuR10+S8hQkIkP1n/9lnzAPYFmsKF1P lc1xYHn3gy//
jLRra8CpZVKwBadLnMgMyPxt7UsSyoSfwZnXn7I9PFP4WGrq8kdn5i2HNtHW uBMkZ7MrZ12U
BvZT/y1yrT3DwzTOmn3ZzA9gAZ4EELC5TyIEE9DtJmh1LJ8SagZPwLTObfeV hxA06qIR5MC3
pdUsunrofXXBtIDV1sxlmo5wtOjPZrNc9RVYUI89gr+c2Rcoi/VP6/s/D0OC 4GNj/OSONANP
zzlVpZRRVDyVrd7OGgMxfGGEVEzszIRdV9JHKeTrpQycMUyEBLCoZDpVcL+p 0vQKqrDXPX0W
7x9xQU3y7DZNJoTP4op36YJhHjQwVWXuPuMS53FYcbnZpFWuQBZ3VCu78rBv texLoIitHOlX
Socspf9lWnV77ZuZW/U8Ha+CxGxhV/1rR2YNykWY0xNZciPZ2NiV0z4PTSKf OX5inWTVgcge
OTkXeQ1Um5umaMRxVAwHDEVYktXt55C6own76k2h/oN57TvNbPC3c4QuQmb8 HtDFcvTYftfC
XfDUEbPXVskjnna0TXV7LVS0tiOj9/yFVZF7hkaruQRqjgSBEqmE6XIEpbVb 032xMmDQge61
iEPXVtvHTfe69+b50R2/8usyoH53oPlbxAPRZO5CcPfwRT1hoacsMHv7uKmV NQTYfRE5DBax
NyrPw063DiT2qz5OPAHwspZF7+MYmowyaXF5B905awBIHpEtkVly8RfNQ0U+ XU6Ih5zHB1HG
9LtJFWdbc9OeE7h91/oTLgGvSe+J80yvwYF9CZ35nuWNFGpHJHRWVa1l/Soe q0XTQRSPOntE
a5SRp0mpp2U/16yMesbzkVSeZ7W8H5e03MiDzsh69aAZBIybyLm6UY5wU24P bPr/4rWVLyuB
GLqukfeqDlqE6HKdF9cWNuWkc6NrmR/gkctq8QhXTM9wNnlhoFqEIwEdU2Kk 19Ff3OOhH3n7
hszpIXN6yJx+GZnTRpu+Ztl9nZQsUE9cil46/74JyELrcV9sSjFbQBNy8QfQ ltO0Lk7r+Swi
a9MFcv1e4u2vOIk8yNxB5g4y94XIXM6VOLl2ATbnxMLUWxRPPWXIl7LNVmxk OIC59ZCkKZza
L5m21wySTyDraFUGEOZEeW2AIGtG9vbGJ+qNdILyGD74pH4rewNp75qkbtqV /A4UYyy1fnE2
/SJm35pZzx/Wqem4wuQZYRIcL7eGOGcj/DE7u+rfMulf0VX4hxW9iMec8rbI SwfUN5VFGwbM
sbWG5jCI8sj2myDJHwfcfxMLmtEK7jCqDnf8dEoAwj5ipkdjiUaoOUirYEuZ w9RgCHoWPemW
N4C/KOOS25jNl2WFTAEQY3eUkAJBf0bUIycUPtlgWpPK6HUU0lomjm96qxwc k7wm/7YQP8eS
xOFzTUiUYIoREac0yqJhpHhvPspeINQCwenNKSvebcON93MvjoDuLn5BeGam jiLEEJTPw25M
c6ccDJys7qteH9t4mv+5lu1wpP7nWj1bG/qp8DMvCWpxmfkNp/CEIzUQ85FH NeEuJD0R3l4f
65BtGqr7C/A1+/G+wdU8uD0Gt8fg9tjc7TFYxbu0isuwWSyyfiip3pRv1G3b ktwuMMCyQGgq
ATnvRXXZeIY7VuhTrhkgZok457o1zNmobtwetOHjoMVdWmeQmU0u8OhtmFlL wFTUzZmmFPqZ
RxpAU7A3M8rUaW9tRh0DLxraksEki3z8Go/BZtrKZvLzlo+A3i02k4Rk49KH Z28kyfTg9R0j
+rCPJnaGZBvpf0+5I0IB6Xr6DqWMLG63hYdVrw43KkrjbLZEiBWtSlGGJ5Qs ax0L+jsVKp6i
A8w+ZpBGFstikRtM+0kaY0MvxAw1SDey64NLFNrUpNJPXGtNNn28rvJrMBVO 3KTy6DWJM64I
giUm5HjirpDOekLvonnJOuZEJS5W7wzG0mAsDcbS8zSWmvmNQOFrry3P9Q2L tdOWj+hygv+s
NR2CeyeWshMDLwoeRWUflE9T0Y7v191P3nCjs3PeLjT/9D+T8sMk5Z7nPM4g UgeROojUlyJS
WR5cI6UHIdoQohj9HwTiIBAHgfgyBGKm7e1kqq7V7a3+0A5Ob68i8T0JOfBS VBtJR5vwhY5n
3oxBLg5ycZCLL1UukkcyUdPBJzn4JAe5OMjFlygXt2vk2xAZDawwO71m77be bGkO+hqoHZt0
IWrYDdiOixcePOXA02a3SZCBBX/yB2kiIvV3Q3FUE0PSqJprGQlTIrhG48XA 6Cau3cYqxe1G
krXUo5eQGHrSsFdGmHco5+iQhOBAtI4gAcFVcFCpzkPmEhNsZdbukUMCQCr7 zS4IHblu7aID
2ev6r/B7n10SQ2a1qb3y/oipxCOul3qMFJTpnRn5mujjCghTgAWbMdRvdJNX d1GOlxh1QZjq
a5A+KM3x5o7Sl+M0+YdmLnu1yY3TQoFmx1idcXAd3LNRfYW8hymhIaG6kkaV nj/034wWZngC
P9FK3X0y5YczRsZ1D1GuxQ1gnQO6FmyJGWlNmkSIpNOlVtf1XFXpiIYiAm6q BhvaC90mO5Vv
8/lC/0lvzN+T6q5drKy4QupmTC/6JQMZ19bj41gnjG61kPzgqvNKfWeYl0Pd mIKvyUKuloE/
hoYOP/rvNEfXg/ejV8WIvioty4CoVNLonvx3bEAQT+nCHOM92DwXlHOJ75vb FHCVgaO5zNI9
EOheFdoAdwwDxbmLV2/ySXpVcpCVcJEnKfDOGZ4W/At87pznUX7ORwt45rKE p0ZSup3hk2fd
rIQQC2rOJmjrxk0QkhEXjeMhPxxouLVRp63m9+TdZg7xRnlTNN9ldWqo9PLw 0uxbAOhXyegJ
vkyqIHfnZcTx3OyT8HPcLgGtnLgBX/nw9qfz6NKcBsSm0lJZ2Qlj1cvXBaYo wuWhh0/uoawI
lFFSOr1PoWM5TUMz5nTqhFoC87zp8tAD878d2j5k3MForpTefQWkg57ARjMH LwNneZtvOe84
d0BJKTc+2OWH2GkXCPqaxWeq+J2Cr53Z9Ype651dxexlGxlNAL25PEneVTRW 8kzVeTW0vdig
ZBfbK5NdTk8a+Kk69e31Atb9bG+J1fKb7u5xwHaIuTf3lqbY59YuszSZawk0 3XR3fzMv/kKZ
zn3vs7+Q5lbX59vnpiflL/pOPD1BQfOWCDTWPcQ3rFQO8OZ11x30W1h6kF5P uuae5hjwDPm6
S6DhDPCwZnsw+2EdU2k9xdYWgeW4n3DLCwV1CGiWyk5jiJyBQwkS1Me+Q7Mb H1ptIW/lUYNf
m1zv2Bz+oy8eh45wLjwSbBVJXG8gmq0iavmy1gZPWnaS37Z1XD+d49dz+nGU 3ODOIZsH2JuB
W4xRjs9SaonHyqCn429WLKGn3RgtzT535nHjzC6d7CrdmaJQRP1bGxbdUP/t y7LMJ0k4mtB+
Fci3ejkqtvf2KDuLRjdJFhePZ5oadlp6t6sHpbjHDjlQuKuqc3BQ0Sv8OA45 gLL4PpnFWJ+b
gJ8yns0KNaMFjsl9PaY90tqr3iRuR4WxLu8vfqsG+N63mgoqhsItywTbtMPL pt9dlb/QNJ/k
AujFhyf213W3vk0KSFeli6XidteCsDsMlMP2XTqabsL/7q3+W4QLtuxrF5+G ZdgT881VX9v1
E2zMEzwgvWyYEHR97dtvIFl3YR72soHiXuhrAz8Hdd/W/fNU4V72zCpWh9+s 75/bzVoqyK84
3P4906v10Nt46nfroffr2Vyuh96453e77mkHO0N8CzN5o/6pvZvXvyotRdQ9 J2qJDQP/lA1M
GsMavVb3eXrfBcm2w865zIDT806LrAbj/bcRY3LYuO7W8BzWYxIYqY8RXD3k +HgZTfOIM/Hh
DXjBdRHmiLfxjGOQMpvauK/Jf6AjYVOwbQrIBCqeqiVt0pZO8aA8wcltqmnu vEfwYh0uVxOI
q96xbcNObTwMJVr250n2Ey31ZCQstmn6N7Fu2zGkIcXZ43PItvQcmnXPshsG Eil7b7om/ZVT
VU6K5EZ2e62WixSzYSAjxPqAGduWfL82i/I8gm43/C9GY5LDA73jNAWXdZQm 2ZdNvcUuv3J6
rSXMdbaknomnXRPl75FdI5wWgxAtH7iLRXIe7QA2ycympYkENF6qQ5Qs4gKi YqOzV2+0DL5M
09Ei+jNanBPm2vtsel7qTdaXx2vKlav/fai3GuqthnqrZ1pvtVbsokZ44lL3 75CqEbeIXmw4
2hCi40gbI1rDFZac5W85jF6fViIWOQhkVKzlGzOgS5z649aCghN8oQAFWwlZ T1F0mY3NY871
htqB9asDZsAgqwdZ/TJlNWUhXMee0+ekJfWHLH2MaFm+E4jTWWRCRF3PtXrr qzfqa1JqjVc6
0/85rf76JhK+/h9+yPJM1dpmijGsUvz9IFMHmTrI1BciU4XUAf331AWqcE6R 1wAcNVKwYhYa
KpXVnZax4ATG50zxnsgkUy1ehuQ2asrNN9H32B6TBsBfDIoLuCDsC4N3YZCu g3R9KdI1KX9E
5e5UwmzvmiWiGMmoObrjgM5KzXFcbxxuBf81nlRaxwU5y208QdzuJIo5U5UW qJ/JYdMe6+0v
SKRodsEqA4o8GieH2JlAjLCuqk/yNNV8O1LRn5GqV3B33s+tAn7mdusCOPSx gLJa6DLVxL+p
R/X40QuKpPUengeRjGoBIVkU7XqBAXXbbWBPbMCFJXzkxdcubolqURN/5md8 Y3+QOXZGvhj7
3jFB+2l0TNHCAXHftH8PsX9yUtoKq0VcaNUkWRDJJbiKOcIu1gvcntna8Io4 iVolZ1/s8+Ec
mV0FhYkZ5rvlg0YjuaR8R2JtC5gsc82FG8jRKD1H9t0NqOoXoCfOuUk1fMv1 XCuXmov0Bdjw
tJfg5nZYWh2uwh2fXr6V6ipIh7NLr2mdPaPaMavMrEvpsGP7qR09ZV6Z01I7 t0LY28ozeUkb
c3K/p9dr1oUNeg+AgZaZNOwP9npvO9AdJHtvN7ZdxtHc3VZd2nN7Nftktypn AoVDbsP0tQD+
Gf5fhtHquzWbu1qpNRv/exK4jV+B4RHI9HFPIFcgFPmtOSAJYsbM9VmOvK+B E95AmsUmCJn8
g1NV9BNxMbl7BMYyLIBYMVr6m4ClkC5eDar4iEl5mcQLU08A3UIfYE5pGt/k DEyjZVIJyYha
Iwn8gsoF4q7LX2zJpfieHhyyJvWztE0Ls4nw3ENefNFrCGg1m08fmptOYpz1 ZVrd5cvZnUyW
k1N6XCSQO/UoVS4MDS/RQHceIX5fn2Y7OgIsP47JTgX0gbyKtPqlyjIukvSR J6dZEdC8FkWi
ibRI1diFns1INubiAJvnWjGBp81EoNpUf2SqJ0gFrCxTzDylbCm0fkNodOYD YgvfeixtUkjZ
xWWr/itx/mx1dJkbeL0ap94I4DxIZ9ALJhSBVL/S9okwatqqb6yA6+sDbs/I qHUeFuFPOrJS
IpNabFYigDc8H0yQG4C+iIeYPkrcw4ATQQDA0VNCqkPjLvF5raCyALOhxVn0 ZzTzntoLaFzg
xrkQNG6Fc1vJNWEnhhn0UzLDLp4rkpglywReW+vdELds4/ULd8L6ZcMcLwJ5 rkszR3MJmrYf
rQKg7OihfjpTtJDwYt1XtsEcfiq7mX2yLuTNOE285rOVu0Qaj178kxOs/3Rh 6VOHt+mJ1ZqM
Q9cNgcKWJO6MhJMIsc2bZpd8FkSsbBLvqZiSWX49eZykqrxOsmtfqTzx4Ou/ hjVk8KWY8OqU
e1JjWmAM+wCaX0DvZlRJxCuO2aFQab1V33M2zRAyC+UPrvzGjWWSGUHTC2qz 8CG0AvUd+tGl
jg8tOIag7RC0fZFBW18mXwsxNsjnQT4P8nmQz4N8Po6SHazWOXGh7EnWefwY 5ZkRlbhGL0KF
/kT9YjKtQ3y2lD5Ooj85fSR+/GTHRDfQZKh0HMTmIDZfjNicx4sSWm3W1NtS VScuQYFnRUCF
OpvpxVIndl/p/aQqFLKZStCzjgENy98ZViAa/VUGaaCe8tEoqzU9uhAhexfM IYgcPZXGBDAS
RXkhD3mBEKbRAuGJsPARp8e9Q33EAQpX4yzhIQg0urgmhnn0Owkmn9zgraGG FsuDwB8E/gsV
+ICPlaY2a28jgKx+k3kcOha0zsGsHbuKMLqObXBH3X2STEtXQE6jDL2EUjhV p3S7bjvr/rbJ
troAds/76jU9Cu3prvZJc+CJb5VhwZXb1SsLrmq2cDTb6PBlXbOtICT8XI1F YJBB4LEPpIsW
Yl4m11JswrbBOzgL4n8eIeAnq59u/7RaUvAGjyFrAzuv7E45sRuOOYObHN5j 2LIaD/W3e1yh
1H33vIqlnvfOS4Hex94N4u4J4k5fO9pywe5imMKYQKbrFPM+unTlHkThIAoH UXg0ojC4d3jA
1du4PCmM/L+bzNWcJBSnWCeZaYaI7ZuLpARgm/3eG7+VagoQ5MVtPNmM+exb x3CZJHYJUe4h
RNeS8SHfHEBopwqdVdlkHejsJqbcM9hLY8512U9wB5PbV5hve95ldhdvtLmi /qc3D3yg5IVc
p7UiO5t0aasnZivc6a3l8DbUuaNtvzLmOhVPb7T9gcaRPRAg8VfQVrKqN52f NOnc/E+sK6CS
YXvLGY9FGxX41VE9+mwQCgh5V3yAd5eydnZCO32eTSHdJjTjd/pGsxezd81s TZ9yv0StYt2X
iveaBVoQVeKjBNVNBRZczRWU6ybl3FUkG2roI8hVUw+J/iJGwtK4gB7bUDSH 8Ej8/RD9iVNe
vdGUBErnk/SqhH4yH25HvKLd0Je56tTEIZHXHokmaZO5FhoJZMFj/K7KTXqH FYf6sL4NZcRZ
EviC85z/uZtG8vUTe3ry0DSVb8ieADGE2PNq3jiW/IiBVevQTaiXNKsFUEap dYA4g/JAr2JR
E/ceOtYnZcKlkdCPskgmtAdYuCjoOlmZ4rj+CM61sJ2ca+3kd/tBfRjnW6X5 TDYwNsRxW9Vg
osFktZmeCkaS4636Vp9pXmjgJ9W722p5iwyRKiPUpQx3DUqQPUGB4qdNOSem h3GnAezJjeEx
jk/CA2WuKXkHl7ute49ZENXzxXx+M5f2BPmImEuyYRbiweQ2GklVwKgf3ntn BI03ys7FWSCE
0r8stFqiD8qZ3iBtIG6ZpLBJ/zNPOm3EsM+3bU5d5HGJ1PqGOp+56hoQM8Y4 mPoaz7HAmrnb
5BKQIqplpisrlF1y4FUXYQvddshmr/G7WKI6WpUVTo91kHwbliLq3bgQbHCx gic37dCzrRjl
g3d6FzRPXLjSQLzpG7NIplOFjjX1Fekp2iwtKDEh8VKbGtc9imJi4bv8Ab1Q /DGLCGGQes6j
/6nYTPUmIirmzbv6mTmIZSOKW3tBAaBEUuh1m+QsLagLJTVvLNy+vaVaCwSQ wHcTVORCYja7
K7eQi/jatoyxERc28otPT0Q2U6SDF3rdSQTqIeKJNCBCpCcDeKSWye1HgjCf 27v/6x9pzwm3
FTQozL2WCTTsGn7VDNjAQcIlTZNblH+V+zgtTQJYtTkHpEk4gX99Xo9U2Jsy 6u6R07Q05T3Y
tG+orAvDihAf5H9saXbWnT3LTE9pjQtITm9fYJUBfLpLBkN6TgB1V7eouRGC jchRnuaK0G/0
FXmfTEEeQZAl1SdJr0Gfb77bgAmggs+h7nC2MeUSVwkGj6HbmYGSqiEw1cQI gqVpCUIZzVKO
qPPZuWnbVYFnCS9eI5n0EY/91GmHO7LOF3xozLx6mf7m6Gj/WhthLWiI/8KF UaP7BkVcm/9O
ee+aTYQQYdgq/72S8doqUvW8W0tyEdsRbfBbO0ZvWwUEsnu+wrR/eOT9VwCS eDpjfcJqjhWM
pB+4sF/tC2SaTMAgN30iIeHgvkwYw7uWCAjOFU0cHESTHePbEMxEHnYIpFmj OH+BEYKTbNa3
mvJLXrEToUJDiD2qtWBTvYYHoRtvLVp2xMuK9BWPv8G1xQb/lKSEj1Q+pgtI JOIyfcVF4gQb
tvw1mMrCkKt56A6D1ds2Dqpa+xNHNR/eNtztWZAdWNwOuaYNcM/XHujSFtvX cRRGsH1z0CK8
hzAgTwTpucEY1lSUSKObM0ffcqiG/fu2bvOCVPGs4rois2us3zr66oX9+t5V DxMtfBoZN+3m
fQxkbx5MI+dXKLbBO0OOJpkppAMfWkMBpquSarmtwfLJe3+tuSIfv3Df7l/3 qBFfbksYInqf
Jz5kXUS1W/NCL17/n3c2s2x/MiB2HpMn4H0/C0R4Cms5j9lHG2dwTMKOsxE2 uiHt0ygC+sAn
80Ve6P8+axQr7lGBbPYD6VmFtAjOazwl4jaRkNW/9eVVE2KijqIN+M1kj5ra Coa89p5CLvHw
qzctTNuS7pP6/u2Nto0vbaM7NMZoXi19M0CTuAix7rUR2BtlD+uAwq9oMgTr CzqQ0756nFR0
KPH+BX8Ag/4gnZiWO6Ccr8fxny84ka2/sBaH6R0FQakWafq+M1Cg8G+raT+t BUfTlmu04uBJ
hRpy1JIxDtpeo3Az92DlM/svuNrGlGxWd4wRYEg9b3JsmgU4Yxrd+zYXCKJO mpw2vJw+hkbM
6iElumRdHLyMRqST0XAmtJk+nnljBU57R6xmmZZxzcNdI/7aiWMmXVaR/jhU p2bWySoXa/au
rP+YzSxbGMzQuJ4cALTrPD7mjIHv1fEKf6CerVj3jViQO2VA7pLyV/GNt/SJ 34Fco7XZ6MHM
gwH8aAA/wpSsAfzoxMCP6pK7TEqKsJ622F4lh90qCWngiVK1ALFaKC1U39qB /67H7VS7NUjT
QZoO0vTZSNO6DDi95N6GFDuzubclFS5ApTe0KW9acpiDFFtzIjHl4p5Cq00m bUZjqc7Y5gp7
Tzzky3QKhz/NZ2wDOZEtU39dMzvc3L/SP112uhH4IlceFuBQP+EABlo7VqYP nLGO6NsTnMcU
J+ln89LTapVe3VabRmyx+R1hP7oBiwVs780qKFqX17mr3BHyeyvJBOd7PY5X 2H+a/QL8BNcZ
1WNg60bsVWt6Xq80Jl3We5hL9dmAqg3ZBgpRVgT3cv2RzJffzKQVY+/GkG2s ralw2dNRNGlj
W+1R+V1LXZPV1s4DQ5xtpZXZIfd34rbM3v5Jxc2qUHseTjBz24aPzLFLKnlv AJPfLgv8RRR7
xIFTch5dEbvh0OgBNTnhGY+KqeCrR4YBAmMfOlWhkfSyhTs75H898eyzz07U eM5ZdIJqAt8o
sAKb+UqqExl7iw83xNZTU5CeQ/qBDDzyfcL5svKeorRZR3HINdwrmZ8WEwn1 D+8YFOkxHtLa
Z9cPiGCIwzRNTZEwhiyID2WbXEK9zQ3wMDbGJm2Lfys3jUd47ZqNdbIRrndg gL5V1eCiRBfk
ykUDbQquBObAAiQuMxKtTt3DVOMe6DpqFMEQyQMGGUzCaGIOFvpBONfK8+iT s8Kwmw/ZaKpu
wyV4fWvL6y4HtGhUbwkbRK432J47WHGpp/NBZAyUQWCeEPV3g9LTvRH3MZpK +269HWxW/OqN
Xuv7+aJ63ArEbKvb18zyRwiVZrNtbt7P9SHWpobW3rhAYdi77LH9rm9oWhJg VxidTVF9smk+
zXbZdtPaEX+36XfebHJudvEIyL2j9ua98cBuVDJ7euuK1ztuAPqryH3vUwsz x1OmVsY+ssKN
qh6UyoQQ9uQ0djJ18jkKjF16Gf1+ijj4gFDMCz7gBH/V6EtuvUD2c9sqeNdy Ftf0nRMPXr6H
eKRTvuQCyQWHx4O6drWeQbvBVE/ePM3iArYvyeIEG9+8if50ZLKPCl/bzTnN Yoh1DrHOIdb5
YmKdeaauw2L4xOXvpb3vWIMrIboxzzm40SKZbX7eTkRySOCyPEagmLDEZlMW JLYRytqsWpzp
X5J/gNUGWIKvo+8GQT0I6kFQP1NBvV0VrDNbN44jNk3f3qzXgNFqTBD7kwkL +WhL8C8W+zu2
XkOW4gV9eI+AOaELot2Psd6N9TE4YMDH4VI9gr6O4DgXdX9bbwwUvtzrZVF1 w/gY/B1bs4rn
Ztz+9HvBqzDtJYDD0VC8ES3GEJSh9P4JXERtMoJGOZCjS/gtjzDGKOT5jSZP qrxoV7sjshbS
mjZi/h3dTZpQ18qGEU/auhGqJzqT9NJwL0XIUD1KowWuTwi92QdsWqWs8zXH iJIt7IYHTBoj
a86leHPuJDRxzNed+eNgIF65ydEQHxvPDPbNYN8M9s1g3wT04dbM5A1U4B6j c6SdmYsPcivW
XH6+vupcTYfOXfQldcPicFbDim3vHlG171yU/RulKyjUgqu0Mb12YWFEwYi0 Ozh7M0Bs0Ptg
xkdLmP84bBA9ubIHNlhP4N0YGuI4H6Oh4RRf9VVzEcIcBbPLKHtxpbM/3jq8 DSr29Y26xu6v
FWSmn7jVAVxuClBcHa5ZnOv43bqfwpDgcWReGICKpZCXYH+DOjYzPNaxNS2J wUoYrITBShis
hH1FQdZm+9V04mOKmrRpIk4e96mJPN0M7FBD1UrpYG1AjdihZ6zP+whIbpQY UnIClkdXQu/b
UnSEag1eraPMWqsxSCw9jSSbHZHtXw9UtJiMhzihIZPRmdyBQ7a3A836Xhf8 1OMq6alTsxIK
svXbtGvDvRzKd0/c7GMBv9zmNNk8gsWyAJGJVUfYQAriHbGh3Y4PXfNwGR7p Jy0+TNajL1UM
G/AttYratDG34hoT3w8ujiFU5lANYhy9nhJPCCkmv/BJPoK6hXuKBWU1G93r I5lw0WEr8UL+
A7f/wdc8IIzwwB9DQ4cf/XeuToy+aHoCMT9aiNXYNJnUJxuOk6m7NE/+u1cA Wd4h5E1bDaS2
t7n0RjSaNFOkJtFr+kwuXr2R9Y2m7SQwxDZekMUGvBYUGRvCzgR8h6fH641F bMju3YRSiPoN
u6OPkso2fbqDWh9yHa8J+7QZEccXBKqb2k9DpeiccdTRQN170Kf9SHcLCa5j hIAx0r+fpUZ8
E2nwamrlMX+y3r/j0I2fA3pEil5gh70iDQLfoqu4rpqNyrN1NXUxiufK19sa OYIvOcbT0He3
CvZwR8IQlVjpRs0pRCKHUYaPiOuQRrJlNHH0ZxSfN1RQmlMg72yobhzCRUO4 aAgXyea2XG2+
dazoCLzKa/RS0SlWmx4suQHiR9yqB3dGkiTvvO+ngvLkgzah5AxcgCKtr1ci oIV1uYYSG279
MTmIm/vekqy3ARWe7P71iqZ4hgcvGOoMjrRW/jl0lZVASOFitt4444gQkfad tOc3ej1eFJyZ
35AWu95X8dc8y+daEWtBwcFWS4EmtwSE4zVikq2RIsRnSbKyijVNanDG8kmc RlrmEAcwLZca
7zW/fx59vluW4/ZRqZkmGbGmVbsZrmVNwgxqbJaxiePg19Aibhl1jFvlB8/C e7ahaezP8Bq8
6ddutBM3k9/fgz+41kK5rmTF0Sy511zqP/ZJcfbkXXyvXKCh2VoZeAi1tzHW CPijmKo4cGUk
k2UaF90+U8LZr1vVeEkPhvFgGA+G8Ys1jAOQ9FZTi9Gvud61b8Hol5nWevC1 Pi2AJgR923XM
KQMIrqufLdQ9PxzQLMSzBExvsOgj9VVNyEUNmRSq3iXB++JDokU6tWEAiVw6 AIu2UQIKwaHN
RZ7CFsaCgDDvhRVquOMBsnJLzn8N6FWsdT4HSJFZXUfYxuxvKBp126/xwIX/ 3X544J2i1GhS
k5XobWT0eTxr/9owQ7B5ENVszrHH8TprcPd0MyLkaUevRibRV/0Y6FM7o7Z1 B4K4HdtBpZfq
fpvDmvJ08mrW/Md48iWeqaYztE9bHk8bVeHZ2Vk3ywMiU7gzyI2PoCm93nec rT6WTB34z5Dt
y3TZuMnAYKVubkMGTFVnS/ob+uoNk3E0i/6MZuf869mrN3GpRx81UA0HM3Qw Qwcz9Hmaoc3s
mXhRXlf5dV0Iq1NvXQw8+1b4X6mBy6IkT2xAyMaPUaYStFFdbz7g7wy9fE2J izno2aMxDldo
Q+ZCnXLMUU+lMQFtyGbcrudBK5jgcYwWoFBGmPeM08spJSfzvN9JBWnIOEt4 CDza7iLXj8Mf
XKvOweU4yPpB1r8IWb+ly/EtlE9sF48+gU6Yo/skpnwQp4PXwjpn1lepRSrI XAGRaA+CNBhB
IEx415oxoVBk8u/YNtNuteunqdBckOI9OJa8hGRwVLxW6yOLt0Bo8qYeL3Ah BWaJNERXq14z
5nBkWKCDkU3Ph8Pd0VbM3OaBwB5773aevH+thhaxZy9R4Py8S8r/yJOtKuJP 4PxseDSwTG+F
ZkRmrWVc/fgkn8/15QJufbeXXsPZdj5eY0fjt7LceBDd1/5qkvRw/AQ0O5Ct 5PrAmiGo8QnM
yR2HFctfPyd5iDafHNCBJ/g3aJ7wNZ4voCn8R/0UNoyGmjhyHzzkK9XUMXVe sInlrkousLof
op/jLJ4RL3yq4ttbiJbr+di+81OzUzdqEi8B+rQh3XiO6OGQyndz6CtqfV1o sbDN0vRX7/P0
HkFVH3K3nhGkXmR59soI8DNJwB+iTzGA5PL34FmeGa+1SVBaPavqjR1wgtMT eDw+KZoc3Yqb
37b7cnDnN1oi8EiXGGQnd7cd8f3Xqrd0URGPqAL2YlLKHqt4ozmLzNw5rYrE Aa6fNcGlp0eW
VoeVajELcIYfAxlXxZLoiMVC0KKO1ZIl1E+dGI/UAARoBBoCTch7CDRw7pw+ KlrFLTC0d6O0
UE5yUPigmN/uEZjYsCAtacG6Rt1OEsvpyOuiCNvmU8Aw24TwjlY1+2R7CXot ZA1R3Ib/A4qj
tR53n0wh3dntu910m3ooQn0jXNpZxMJOBgHJ7zQC1jw7uKCj9en7Wl42x9LX vf3WY7Icg0uU
E/E5rqRZhnefK2bVU4BSD9HtfXXx7K+qHko/qEz0qmWT1haioIoKmYfAcaYx aFzVuoP6MXgo
BEWoTqutk3o8qQR4hznP5hc/O1rPy+B9krpTt9/bvg3XZ7HMqmQunsGAMmZu NQcKTAAHUV8X
GNffgbBvSAjzzRNMlfostwzpS2pLF37YdeaFQhd3Nnm8KLUYTZN9ghnItQka 2L3rDFbSyQIp
e6+Cuer/wO2cS/T27B8/S0r3hui/ZK25F9EvZkZy3+ZQgRHpZtZ+H5gUmzl8 2xYzjtFJZJtS
E1ia8WLQ50bEQXRIz9BhAH+hmKJsZ52h2Fd28oZp9ISgYHVEih6Q8ew8kguS ObpVzjMsK7V4
SEqYHJjKMOoYa7vmxqE+Jr3JRo7gD6aoa2xGecz0Z0vwct1CbOMhL76gTIOj q98ZR6qarLgm
nsZPkmWaxVmWuXvQJDKPaZqaBF7cFo5Ds4+tfgXDi1nJr4i1rODSibS4mKhF BY535/NL1b1K
yT4WU9DDYpmee+4+UQ8L8HLtwmZr3AnzeLFYGY1yUv/DIv5jqd5/heWVSbit Xi9y/jKTrIw7
mkVunkQWLcEtpMpaOSFOuj3odGTRU1rmQNS4hPNVLsHhUUbvwESJ6Swl6Nta ltoQTB9N7TqM
oxV3KrBLoDLzr+CFJvlRG+wz5MXXx+HgMI10IwcCbRNyGJCUcAmZlSM+Gz2D b0EGA7TEmicV
ONQYF04/PiEJ07IXlsHZHW414GPoKPg00dRk6rp8QlfEJ3kV9CKncpxojbia zzVLQcBC/xUo
CukE4H5AbneAkVq85pQVPtLHpExuNDthTOPMhJfwQ+jkyCIF/0CPKwZYOEtB pLZ8RERRHG+u
wK5Pyjk6bJmT0kdy7GI4ADqWsr+Kj2ZjKedR2wKNf1hbWs7tpdlGH+BkUtE9 qVe+LDK+wEuJ
bhqWkyGqTZf6sGMIztEF1w1c3+AgmwxgNesKfCXIKesw/0SugxOtn/D9tVkp BTkkVfPkNJn0
Qs5JnFKzqo1yiNM4my3jmbq+yaeP15DPeuLpa1dGJaN16ZuZfZlexA9Dgnwd 6DXbBrx6E1Cc
uteLIn50LQfNxS+OjHk02A5kBCPaPOHXkXuY/jRgOg15ZEMe2TPNI2t2cc3S x2u61K7pQrt2
8C4nLnc/S20AtFFYLDnJ+RpnOFi3YiFEERDYvH7eFKTuySjyn/WBVkstWBXW bCyiP6PFuVWl
oUTjzV9oJmfQnakT+uwgfwf5O8jfZyR/VZv4fVbS15a9qa/xpEof2YIKSuE9 COE2GfzayV+r
EA9Fc4MAHgTwSxHAM1X9ivKn6UsJIDNaZ09zoPsuDhkx5pXmolmfUWlqwoB/ 0HIPsuYonkTz
oh8oFTvzHGXg0pmSN0wf/+lygknPdaGdlLjAIk5HZ5vUqXXtf2FGP8W2F25n okqlqUv3qu10
GdxsR6NQYwvahJ1s8UcMctxvwtRHs8Vm7qEtNhwutvoOE6UW/BIN2I2j97Hx v+TZL2oWn+re
i+lvtP2Qup/xiwclwVYJqOBGBWiu5I+lSzKsZScGApvsfT8STC9qwfFVoGUZ mowjG7xJoKgj
rZJF6pzY2+Ym8ToucPK0EFwE7vLFskrSCywi0DLvZz19UBpalwSNo+xKlB/B a6X+jmvEzH6c
HuldsrEMTpQOxsnnB7iNMNA3pQCwDQR6aSfieQxcTDHfoozyzP8KQb153wUL Qu+MifZiOOQx
miezOwxzoME3SSoDLNz8lklr5ghi9JM3tNbPtf6OFyk+TRGrEoJ9KGEPnvVc hLXOAN+I1j5b
5DXX8pl74bVfOYZaBiOyIq7a6h3gClYqCbnPJx7XNUfEDEqFOUlxVGpCp6oW fNbsTB8gnoCy
VISc4mRaUwlkQ8O4h475eMwWD4aZmKgnso6JQ/OZ+XAnxEnz7BFIJBnHDxK5 n4Ie2Werlrzx
Ns8ybayKEh4ANPuZrk6QXY/H0O9TpDLadENKlYjZfrdJgQtoKCS8GyD0c5Cz +bLid/zD6FUL
mbIDkcrhHDsgkuMUdNkp+42qQuFBiREh0GykTQcKD4MuRcieygvqEVzCMHN9 OMeaUyAPLsEc
RQigi/5Xam1+W0Mr5znlxbUCreOkXbOSG2xc7EYFsMzsqiO9avwj4wXyLUtE B1Cy+CanDavr
7PrFgOOWvLX+i1nHBoyDB3bwwA4e2GfjgSWRfa1F9LUV2c9IwE7izIB98e2E t5FdahSL5G2o
ChlgvQZZOMjClykLNX2ejxAE62CxrMKyMHMScBB4g8AbBN7LFHiFUlDdmkHb Z/IcnHrW6a9m
RdYXUhq5R94K0gGDOaeD+BvE3yD+XpD4SzK0e/PlqUN0f8goUIzdD7Ncan0l +hhR9sWRHln/
LVK3t3pjzyN8TT89ppfIUctBlfAAE3QTmwEG0TmIzkF0vkjROVPVO8JvW5W5 yTkX7WmbCTRO
aR1obbJV+8Bl52FXHKBMPWw+t9qaO+0m5qR0/NTKNfPGvBPQet3Xf8hgs+J2 wQwCKPJdEUHN
OS2gb7UDBVbTiJfIKWpbXDqbpgrXb/ZexKhmRX+vtrsnOsYEVMX50c+ZkbxU 60MwUj3n/EUw
EonD58xHlMt2ODbqiCDxrLjotyxN5kmlpr/EmFH0nPlpadaql09Yvwdjrfo2 vywm+2WZPkPG
yvSqOnHQ1sn5TYx7M4cte/J+9N73YSflbxeuWrcXWnymziwir83gpBk4JFdV G31SKpKTP3gq
au6gjLogwNmHt8h67sn177XctSuAzGKihzweO8Yz+0WPanDMLmC/y0U8UcIK 3HHlg62h3gKU
13LhOzPIv2EtRxCQPekN0bXeKCf2s2hvFBAV0RfribEyD5YzWA/evmjaYs0H zpqpTFlbS9Ao
XTmG6gKXNx5HtJIaOCb8QJcUeToxvxnR57LcZT1DgQvhMLomVB87Htbdy8rp KjUgQMIAcuCx
QGZK+jSneXBabSpYtwKK3PrUJuV7l//zfFpbfK5XgWpJ6ecGQYxHadVf0p/K vCbpEot6TCEI
NS3D99eVIe6DPp8wgP+siVPP2wLaxBOEFbbYnfqawKopW6cDvdW+qgkCno/h MlxFba1P18by
an7kWAcnMcUWN6rMe4+vkBJzjOWdtCTXiQJL3URrR6YK1GHnmaELlP8QLqvT bHyTopcKrFBB
Vb29Es+qXqHVY/3VXMyaSrAItbZKbP1VkqGku+fiWv0q/OBVxbPHGE7dLMnQ qOBKHZQ60Q2I
Hcov19qr+3Ukirnxq+qMrF964zyqTZB1Vi2Qb9S0JMNFFoJVpu0eNSXBSi4s 15rEhf5unOp1
qdKgh1BLg4rLKZGL4IDX9OKOhVg47etZdf0vJ54yUdtyhMgiyF2/aap+PJmK jX20De1mmAuB
De6y6B+qyEU+hPNtjM6COLDygehN9C9D8sSQPDEkT7yQ5Am8La5n6uSFKPCo vPoMKnYcvDej
lLRtiZVttfUWOSkfiN68HgTlICgHQfliBCVrm+oaxcAzEJZC67fC0tMjodb/ D2jrwf4XIV2F
2By16pfYq6BFqLZpn6+9NwYBOwjYQcC+EAGLFL724Gius/y6TKbqmrxWp14Q dnXL2igrn6EY
CHbeErEMErr6H0Jcc4MYbphko1w+kg+KdFdrpneRfX9DmdkgZAchOwhZK2Q1 hdErO0hXKV3b
RCq6FMyWSRC6QaoOUnWQqi9Sqpaq+om8Ak+p7+o0RKCGY6PyLkhgB1n3tKl2 GmJVMvdGc551
3N5j6qlgcGLphnGNHvEOYbeKuYB+rLlULIx5d19I5418MuV631G6qlt31PmT QjsqvU27gejH
JASc5vQUIfrF9Edn+qJWky8uAQij815sGvH5M8936PsMvf4fba7BNYSJ3qxr vdQVU2GSLqeq
fOsi5idIouYiQoSSVTsyQ0ATkNIGbFWGpGeXNIFVbtwAIUdemAxaG76O3tIo o7qv9+02Ht63
+74izY7L9KLT5Ru5ii4n3LwHqTwE8Osl8hio5pvHGtO1sBWi+67kLXyiNfgK T/y8eoCfW98O
sWfjc8yj/ijMsI3ZA9f609mGhX/egJ1CSW4bsbMb+ZT0J2Jij06EBlPWY1Em GdHj4rhc0x0p
uaUx0Ekgeq6S8f9dpPT+iCfOeajfuUkWJNXd7uKOcqx0kkoZkck7IZJMUk8I kQnTAun3mghh
CjYKUFtoiR9aSUv3xLkddOfUhG4T+g83qfp7Ut2d0qVhK/Iifw1RFX/BdnCU bF8nEeaHn0dX
lblYNC0gVbGe5OoG5URUGi9ETRY95/qmuUIv20SVINY1r1ym6SiJfjCPRH/S 5RFSkRIXYaYv
hR/aRnrjeIeU4El5mpyE7VL0xs2TTCFnOJFglUpfOBRQ3smOQBgK3oN+hFmI UUjTpPdfCzXC
pT7jt7wH3F+2obwbfnsdNDiwm9aOldstK1s+0ByeU2nL3/CqmTtz15NRY9KE nVehtFUT0sYy
LYOytcnsyMOl0vcjPJGmj2Yre6hT+g1b0+2cmP2VtGxGy3I3xKQGfwcn3zLo sLPbtUIp7NIQ
LEBW0bHuqEp6u+iTplzm4FRKg/7pAJWM0H6GxFlnkx2KOI0Kaqf6n3j99Gfn cfH73slzEXb0
nVAldIN+zgx/rvSTR+do6fe0Ys1mT7yutZrwX1PRR89qz3Isw2AHK+QM9PhL 0GVhFhXpOcYT
2AKHaQC5erHpP5kY65ZyTRZp/BgVWuEquZea3drz6G2gDx7WYt+o6D9ybV6h Q1ZrPJBfMHXN
2krysHKBpv7zbTJbGuNSfyVNsi9Y2GtngukXBK1s27xZ9WiiDMMKbCExT2ek XYZa95kZq6+L
vKQGf3HwuUpp0x3AnZsFxuHa0BDVp0s4OwDb4uiKaRewd+uFjpmDaPPYJnuk 9PncfM0HjWry
TeOVi39yc/8nByzlTmqvOSwdFuBkWOCUhIrGV+W5hBao9wLrY5uSLSQcLpq0 FNLU8MQq/gpF
0t9n04Bfph1J7K05lPpFh5y71YWIjSc7fsnu5Cm0B36n9KdU6fWbROHIoq2k WpQk2Bm0HxCC
Dseh9WJrPHjwWywsp5vyl2V2m8BGSY4JbKl4h7z7ZrDDi/CA5Fwhw9djlHm6 yzqp7gvxpgQ6
MhnuRPaKy3eXgrp56wXItYGY3skpJpHZOKhH0rnZ78FL2qb+r4VWAG3/XX5i zLm1Tm6S0mZk
ah4+yOfRe/1480OaNPgFCO3YHzfF65h7+RQnnWv+ue7bcGqx2DhQdzPqcjfX s45mkHKKaWpx
1nSP1DrFg3Wo+dWgdzJwpNv8Id18SDcf0s1fZLo5SONrsM2vodv9tYJshxMX qFe3jR7zFMIh
hwbeV7DYlf6HMd5TkLXwER59SNIU3Q2wP4O8HOTlIC9fprwEpyp21/MF5/MT mc7Eim5yhPuD
paMPOPZko61xVPSEq2xEIWtg5ch2s8m+YD4J6Ec72iBbB9k6yNaXKVshq+55 yVXspFFAFiPU
O6kUcW8xedDTLi2+BorNQQwOYnAQgy9XDFIPUjRI32+UxPuRJc0TI4LTFR8P 5MjYr27TUecY
AoWXthxY+kuN/mucpnqz9PYtckLAlk+CtpxnDYcriSPY6rrHPH+wfXs8nfs8 +ozJpmIQVJxp
clpx1jcHNLbhGdXnwCjspSYiJIBMAKCU/L1AQ3gL/Pr+S/C10Ezc9XPoBDt5 MW7Efv0YTrad
j7V/2KjBDMUsTqGPIu6CqqfiUPUKGkBoKJkbrOn8F+6rgyc8wprWyaAAWQIp Wr1pYMEos3EH
4qlpnsS/g03bNVkJq5Ioz2kMqPlJ9gUDNqOpWjBkft6I0iSqPJMJUuCXDHzP fYT6LLA8aUlb
ePK5fVro090F9bBn42tRkEngr+/UIs0fMfshLvRlGIkIb69pepdOl8deC6Vd U3TLi6ofcaSZ
vhchiU/L4H9gjYBJkGuQGDom2E8UKkW+0HIfUyttnjhHXN1HRjnXIcTIskLE n3ktkDJRkwJ+
nHkyu9MnIS1z91htADoMVxXPpmxlUZoU9djJC5OWyGUR/KD0+diZtK15Dl0i IIQOw0FLGFRu
4zT5B5Oazot/Zcu1Kpc6Lh6CO7bmfRI0rc+yZQyZmyjmLppNhdMywSRBWmKG ZZss4XfCX7mL
WZuIF/FNknKwl5rGQfcPc3Siis4OpFzKP+MOw/7dJQvWN1QGp6qM5nAgjHIh R8qjOz2xuJjo
60nzepZPzYIQD5Lnhq05lhk23iMVyd2BcKlLrMiPwU2b6qOqtwhaD0POCOcI aPJjxNvtJag1
qphzbitInqm3rhovEhMake6fYXkkamd37Ap73ChIQsOljGW8QmTfPDJprO2f 5lXpVASmdNvU
/HO4xYQKsWumSQ/KCj3cSF8/becDayf5ACdT8ylLLOfGtTOe6Pne0PWoNYbU 6KuV1VbNk9+W
eMJCzGBPuP5WKFHKbxAD56nxfS8dmJPImklIYxR/+t37ZMoP693WotxLOcOj c5Pw/X17yPQz
0abUFN7pu7JMSng+WA7eJfms7grrxWlhwIL89YzOXGHdmDv8aCI/5NFHJ12Q IOzrgH+Qusxp
YYmxl7gpkRrbAj3viYd8qY/iDdRJzECcpZjLzlOBy8g8rYkuz6N7yLQ/Mvlo U/Fc86ILDQfJ
8zkIMD6wgefFqOPW/J7Q2CM9B4ukcsYzh2uGmm6tGcr7LBySts8IwzRpG0E8 5NVc03PqPCl/
FZR5S4T9HSQOgqWEIFfcy/kkvSqhN9qH25GRIIS0gm/oY6BvP5hJ9ENkJUxt gMsSzoZ4XW8Q
vz2CV89RUhlqfc4JwwX+6H1pRA+vxJ1ZiUzj8AUaAwFITOPd0NfX4+K0PbHq 64Rns2YCBJxQ
vjP8IEezf8ZXam+8zeeU91p/x/4gQRV2ly/KbCczbBsCVn626f+1bLSBe675 1fac1M1vh5Vg
ISd4O8j1aEasgz/InteeYR8ACPHBpYKvnUc/PtrW8+GBP4aGDj/670YmfknI gPhojAt0zmEq
e7m8QbHP+rx58t+1taWvuekUZSJdhU7BHrvrwoTZWTrF5l6q3yfrFu6EbEDc Ll69kXIWj63+
w2crAa1AlFJyIWSrLLg7I9F5sFKdxrFYfaYXm7jaQ3n8253mAMjCryqefsjS tUhx4oBth5px
8DN+pW1iuzw8FMVSjX2PgMx1fiiSqoLsEm3R3ZJSrg+G9QII7tUjt42Vw7du QEOJp6TVwOg8
9F4KEhrergtB1KfWi0n17Tq/vZ6Yy/LEg+WXDcU0juzaong2K7DxWqMfxSoM 0e88L4o/PjnL
eFjr69ntN0M6Tq3LkYMYM9jxvvL13dC6aIj+D9H/lxL9J5gFcJtdM2GvjWp1 4vL9k12Zu5Xz
yWSJPd0zG10D547RXd0brb6T8CvCC1EHkLVPGLM/1KDTM1TdNNhH0WZhBx8k rEE91CT6k4eN
oraZMDBhuRDP6qcX4aHVV22wliM9cFROpAY+OYP/N9wbw70x3Bsv5N6w7tdr I/iuk+xOD6/l
y4lfHJch37Lxf9hFRrdFPgcoP1keK2JxItra4tSWevttNLIfDV0UBAjsXojs 89KZXb8m5PPw
/wKf4BugWPxZfxhcvcFvTCDgNqlGt5PAO1F0OwH8W81VwNJ65vriiMtPSt8g Z+7dyZ8RPmZy
QUbiMW2jMOCtntZwrQzXynCtvJhrRZgjxTJVp26DXAZtCjBHykrLx5ktZfNc 6A2bgryIkJXk
db4mSDK9S2UHo6Op6ged6eXCBRytYB81u0k0LZL2mGDdzIH/1xgQvU+1QaJB +g/Sf5D+L0b6
Z/F9MoMQ1zXETnIMSZ20/MewE+QM8roaCWTzuPhCKWEFx2s8b74LXbEzPyl/ MWOt6wI3yMZB
Ng6y8dnIRs5su15m+o/XSXnNfzhxCemq4XBh4Rw+m9X1Gz1jhSH/eRCEgyAc BOFLFYSgOV0/
A2UxIAphaRi57CIMQxk/gzQcpOEgDZ+xNLSePheHgx9O33HqeUshEY5WKouw XLY1pDnDsgcc
m0ESDpLwZUpCV0J8TcXIJy8CP9achXHUwCpIbqOEuvfYko5f9LcwImOqo0sq T0UgdC7Ja0EL
gbpfLDnRJM9mONIgUQeJOkjUlylRuRj9usqvY1c1dOJC1auwt6pkoG2M3/lM IjeYXDCGBLHQ
Ik5UjpLS1llRcTFK5FGjlwokKVdJtYRJeiFzmVllKznWvM4hfs1kf0ZyAlV5 TtgEQ5LuIMAH
Af5yBDhBO0JVZrO001VwftJyIps5FMfGMAnkZbYOtLbCu33gsvOwKw5Qph42 n1ttzR3xgqsr
V1/3tBlvMNCKHe06bdPv62lz7jrKKojQTjNeZt0ZYyVzXblsie5LP2SJkqqo HJ8TRCzAFgEO
GOUEoa0I+HEdIGOQdkn3bTg2gAbNdt7mbHfxdpaWHwDAJ4iCeywIoL8qLbnU PSOAWnQtkzs6
0uptXAAyjUR1teiwHluh14Bw7xB3by2EYzdhw3zzTsABHPfhMzgcBHVmmwk6 2yCvIVvwCumF
bQ7kfZdNOcaj6G3VPs8iCG+tic5U8Yz5KKEVHo6PeEtfFh+RqveM2ajEBR6O i1h3flFM9FuW
JnMo+/sF6tXi9Bmz09IsVa+e0IYPxln1XX5ZPPbLMn1+fJXpRXVioG7bJNya T9CfDg4Jb3Dm
nE/2zKBRGey2j0ItN9XHcRMyuMznHoR3AEXN+aegwvbKIPJ6+A2TczuqKLfd rtp2IyCzrRwC
s+4ujKMx1K7qVrz+bwnGDUQaWzNN/5lhXsmAk/abQ0ZtmHu13h2Ird78CFYZ 5ryB0SxpWI8h
LtJsSY2bL903JHoUduYTQM4WQP3VmzL5BzD46+h7DmBw7TrV/gFQas52tn5m FBwkeoUVglAU
niFOSiZqB2FqPMD5yjnSws23lGaXSMuv//wvWHNya0c0P0T/+V/ub/DEbiTW Uzx9vUksxv2+
jTxIMRZZiKWjqSAByxitEh8M8ROVkMo3Xkd/sW+skTubFg8zVkFzw1116etv Xnk7Dv/R9wUR
QN0Rx9VAD8FdK8qKXRQTOycwcLQ+9pzrMYlLk91hZf7Y9ReRbYYkGj1WHDdH qGPE6xumCUTf
RH8vW0RMLA+uC39Svgmi1AvpoMcBKr2CAmV8Ag+uHsV92StLxgHgwLvf/yss BXZ42nfhau1N
PxHFhdblXFpgc8o0MoDnoOGRaxagCyeF/rOHvB+iOORxSmJ5YISS1A2xfm5r KD/A/Yb3jNVb
8KrYgnxbdSjC+XdpFcWtarZoU9aTZ9l24AUy4uyp74EmRunpqB1swdDESWg1 4Ut/0ftqQHsv
MHt5Ae3E9C8GzpT63YBctMwjNMgdt6CaxnricBt0oLEJ/OrTbDRU7+8Xfi+d /k64jVBLiurT
/CxJGsA4NpWCrTRdK5y7ABwf2sIQKPgS29gqbz44sWiigOBVIrcDr0Ut5wup u30yLTLsDdA0
VHE4rWucq/OxuCjKRuMY27Flvlha+CzSD8I5JnvpN9fOGVhN9ZzYI0y9UEcN xoSnqjPQ85xO
J5ot2ZZSoGHqGws9FNAih+oykurgtJu2pAgE5DT7rNc3CMXcg4pu66NpGepI GUe0EqKG186K
DhzlqS2hKRHCnGa5phmlLgHJS20ApeDlJYeduNIlcLX8BnTsgqFNxyewR7B5 VtP9J2TDA/cz
zDHFyXATaXXCQQWjU8uoKumQ3bB7FhL26BZn/9K9DS0LWmRAlme9843s+SBt cDrUC8ovZZdt
R5VgH7K43VWygSDu0AS4VVLbzxzBqb8KOl/ohudzVQOZ9K562/BPHzNzPs1x 5Fu52asplMyM
XftwQHNh4MtjYyHC1+UVI/krbzq3Hd69nobezMO3mK2jYLYzW7u7qO8sIM9W C93SDsMUe+cJ
T/SOVf1AdyP77Vqrkt3TsuEn6KIMeI/7dpv4iUw3SAY7BhLz1Sn9b/U8wTE6 1LJd09dw+oX8
du8mXqiNfHvkNMAE+CBfkBPeehaH8549MZdRc3LHp4xtykeGVehY7V0wtMUL A6zg7oEOqkP/
aoFwyqPF3rDroI2tg5yzjWaakUWKOd5oKxx99O6lMUmWUKjw0Ld1A8r0Od3W mi4tmbk1Ixur
f2krDk6BeC+3qw31HgVNavfqmnTpjjft7knxxzJO6R6tM/tKsda812qECd3x vZHmEpIV4C9x
GqVJiRcWs11kN8BZKqW98Kh5PN1u+CJclxBf4hQI+PulnzEBASkz5mlfeDXK bXTttTCD47Ze
+OCdKpNZhhFIvIIMT9Ri0CKiEYf4Y49UXa/O6h+cgkV/kX9o0pWDhkTTOtzD N1F8A7fCxB3j
T0tNKyBpM+7yjeGnndCsK4KZmXFUMUIFUS/NWY/FZtv8HPie9UV4qxe0psd5 uLSRxuDlNmOy
qxSCePIlpqisv1sH5nGXHkP5MW7/XK8Ms1eXvFWyj8Y8zpJbVdKo8oelVmOT f7heqIeKjrsF
bKOnvRNvr7203MMXhrv6i69CCETfU25OJXN6/Qwf4JJpWOd6rfr/6JlA8Xo2 edynFe6dya10
9ebR7JBDYQc+RpNNMAj3QRaOOnOEyQmrzXRzzq3Jn2R6sff0+zshYPPN2Wvv F1XzShJs1++F
xDdRnNq7iHPazH7DeTX/nXDaNO1y41rzwmXo0c7gx+bXxF9Ajc3Q6409o8yn yuB3y5YPj60e
lD46sBKQ9JTyK14opf/oPHr/NZ4vUkVwFuqrmiwxzFliph90AElmy4LvaH2u yjU38pPEg2Hx
7e8IMUZvR/rSUtAeZqvX6MsL6IcQWhFGUKTaiqSBttKs23JY1s+B2+1F4Y7h hfna/q4Bj52e
pgisddG2agXemxdCMenvDvA8uloe1AM38kDXxQccUzq2/LIUJpYVT9qGtWrc 5tHfpqnUxhb0
+1HwgxFlDOZHXie+ONh8Qs+tm/z+hALpiAcxaKX8Pw2DVhiq6AdcqzTAYb6L y+hGqcyN0aJL
tF+0u9LKakK0vsm1q7QvBc0Xj6VIemLluS4upyAq50mmhGBcuPI0PDtOOYvr erW4rKFJD17V
KyZkUDiTObADIBFblCyggYHPwowLPVBW+2ChaDWaYQDQjc2A1q+JtXLuhX1w qspJkSyqvNjU
a2JWfK2sz+Sk4fw+3zmVy7iB6iKThatV0aQ1FXv2lDm0os5FP+aeeOVHZD3U 1beWzUaQC2sK
dlALUlPHheVZvVefdPmY5t3T6M9oem6uw/P6EsWDKvKasGoWzifpVQnpaB9u R3ZWA/LfgPw3
IP+9HOS/5waG7bRlIdJrgn6FdH5v1IP32X1S5Gg+hurTugpkT8iGBh/E7SBu B3H7XMXtltUq
Rqz8tNbN0SxcadSl9CaGrfecks9kwMK3qeoOUHBsPC60fAbXdRx9O00KTZW8 ePwWbKJv52qe
Q3radKr3s/z24NUH1oR8XuQRBrClEy1VlUwYbiQe47spEKPQtKjcWAfPc+oS RQ5HjVtDxL5L
umdrFe1NTL40mWZqpSJjrdF+wnvOXVf3HIns4fbQzCH9SZnnqKtCTvc4Wtw9 liCHokWiJoRy
IkphjXsIi+j0YdDqyXQ5MQG2Mr+tHijUc6/SfIGk1I9MtNAaw+P6qZrXPjcX CH29fCwrNRcB
OfirDSUxqEE0h7VTJG7Me2b/hd6fkjA6OKvXBfTMU3FE/0Q3B9S030DGMH18 jA4lN3/9qeRe
TxJTfzFt4UEfu1e8LEgTN9sNb841FaK5/iGeyTqh0N7TvHHZ0u+ZG3/bhv6r SaF5mhAg7G8b
4Gy4d3o5/29x9uhfcizhmphZBD5Y61h0osDiCvkHOKlM/kLpM56RA3IEBVXL ND1j4DBCgvK4
D1NaGzlXG9go8L8dwOR7VbJhjjYpFFD87BYgc8MW7dCusGSBUMVGSWjHsFc1 LsNtO/C+4W2y
NVRTz7uGR/FwzEbH/XMIneSoNkiKpX1sTjcvmLgutoGN7LdqxN4WoYaXtbsC 9nlMC4luYCV0
OeARoj94V4KHKPkyrwQJhbbzUxpEDzqq89k4mHvdD2TMU8MpF6cpvFM73CA8 qCcLlCzFzA53
aneuN7CIfglJqaP36EByaaavsYpFmGebajMK83kMcIfzw2XSyGVXszU4f0AL kS1BvkCWGdh/
pX5a7ygZbej8ESkGh/L9ZJgL/ZQMUffukRR0tyaLEkDDiJZ8hvc7A3GYxz0c jibgr8skFSae
omv+Z2rtIl9B0K1fbK2+5huZXyW+tXs0OPzihZjY/tIIvaKYbRjoZ3+AI+Ii ToQi59C6WgKP
j6LPJDqwFrJU9SHgbVMzZHFfsQZ5iU2E0bkwg5AJTurMost1Vxy3xg+sl69E h0cTqHmc1hff
ioePiH2EhWSEj7mwJaM8Vc7smBmck5khRVR0eKFSA/J8Yv11bxwgyqZ9yF1C gGjlil1eQ3u7
ZwSjOBN3a1Z5Wsykdoc0Um4579k5ow+adetdkcZbb1VNqzoWIHELbpcs6w1q twdERrKutbxb
Hb9aPesWFQLHUvIL58fbPqfU1+7fGpG84sAjqA562vkQF2T9bPyo7uL7JHef i5B8bB0KAsLf
P3NP7CZdDxt2dGEWFIg3dg2RubMoHd0FTJHspQfRKL15LpF9bEr0CBGGS4sh j/mL6U3u0pXN
h/3AnJsdBPvxVUXAPwicIcuK9DfvcjcORJ+jB5UC7gLDAIm1UfOAUkl8f0tZ r8wtQCdgaTzG
BCO7WORFPQseLhLTmj13ygsGPtHf4P54HoU/HGQc+CB+6JGVZ7lFnOivvi7y krvwRNRAPdAn
noizKPL7ZOpa9ujTAuFlGyZAi9xrPW9GWiMsQyw8XeoDitD8jknRyAfWaJw6 cdAczCb2iNDP
/11bnO2ytAPaZq+OJ9O2wF/P6MydqjFV4WeazA+5VH+RIKajhm2QysCFiTnH pteBg7b2nnjI
l+mUUK3NBIzsLlVGTTPmcGINRid4XSf5fVwkUCakORbHxGdLzgqkcbSRw1k5 hfpjmeiv0koU
uXCAf13xi3yr/nlYYhG7L/5WgmiGsUnVi+JUD5PpXbmn/QRRtIRbnwOC0+QW b4qKnAffNnf7
W2hjJGc3BvdU7StMKxhzyoPYeZlxvKJqs9FwXqRoFVvNHZMc0qV48Ba6Vdwx snUJrrNsiXoo
KDIYBKnL18q4xaFKP9bMUHsMyzm0FLA4uebhZh8VNyP79nkk043pZ3WelL8K fuKmL79rwTWl
nhahPjrubZmEbFkbOzPhK9hoafGDEIuvI+/lyxKOs3yV2yxhGjQu3wrPc9vU KV+0/GS+SznT
oyT6s/ns/zf5/53Dvp2bzfycjwJfM4+dUSeYs24JsSH5YxbcCbe0IRnlZ0PB WN7MDTz3za9K
Rc5I8Q5iPWyg2jm2G6ieieoeX48RZp69sMesP+nvI1sbdDD2jvFd7VcCYpiz oVkGux1UMsIv
urbhEPa0dMzS3owpGxO8qJF1R8yi9Uit2rz/OlGL1U7SVW7SfsOYNQQ/NB8c Ij6IYWWWxx5S
c6Pi2qMpQtOCtgbqsNA3gcr5galcp8eOyGyUTHHO2wktCNt8zZcF9hA0nrz4 J6ed/tOFPUX1
Gu4e+AXD3g31nTiDVH1uiWPMcqn3u3t8H/wQMlEumrRrZYqO2ZNxdT3Py+o6 z9Q1JeiceFXY
Zd1q08cKXJwRLBP9VZyHZMn3V+5UY1NhHCPY5BqqS0AzUqGl+C2N8m2tcNeX zK/e6D8C8poe
UWs++n/P3UCvo7/QGGe2O+Y/p9VfX0ffDWViQ5lYYCOGMrFnUCbWEMDQN/X6 Jp8+XmsiXqNF
fOoSOILlvAW71wph7A57I5MUCQmRPABOs3Li1BvDa+EJSBkEgfHvuFuDtByk 5SAtX4a0nKnq
py0TRy9WDfrbU5Mt20fXCuNV+YEGXveFFacqUw+dhwn45C822WWc8m9Z8keg bcqGM+42yg4m
3IktVs/2qZzVdarhUo1NZtplhLpTZtNZdjoSq6e5s1PVVTb8igbVr+gXX5Vs 7+znXjQkPc0i
UaaPygiUozNjlrJT39mglHbT4n/qDNwd6Eq+vTDpZdOu6m44wuVqmPPjyC4t UoD9X/r9b92v
tLMSYpOjbw8J9JC3z+mP4s609KsvBNONzprd5uu/x5n+6VxMErrP4weiHfac 31rwHj1xaWUt
tOUf15GWH+P+iTsmrJkgUBSG3x1ZHfGeUDlzpISl2poQVemX1SSlZ7h7C0da d0pWnh7Q9JOq
/vO/dkdUF0zZRbXPkVKX6oFC1KVfVlOXntkjdXl6e6DurJu+1xZCO1JyYp5D iJqiiLCNmPjI
HmlJc9sDKYuV2uWq7hW9apsuK8rfL/4np8OoRufgOtVNXovLHUkoAVh9TUqA HskNiceQaGNG
jzNquAWfCJA5HDGJ1oRMDtW6JtF3Z3EbTzqVCV65h/3QqP3holY00hs/2BmJ TlmtqQy7SCZu
7wgs05z22H2A8ozXE5ETkn0C4h+Phni4Fo9wqrNxuB+69d/7N9A4nqIDT2ga v6InfC+0d9lI
JvMUZKvM0wZOaGbK69UYXwMUDtgERa72XWbUSmkajXjTXoPVcgaFHeZDZTLV cv72VkGxKuTM
5JPJsnAv4K6cHRyfr92JsQGZOzT4beUD+5mj6CiFfaEcaBlCL+K0KE9XXOp8 /VrfkhP7oeQ3
wwVBrQD0RfZkAEpEXmEnVE656oEjWhwfe2cIv+XYi+aHJTlAjoAdwigjLbob OEm2JP53L4Ty
lQVBmeu3EsjqS7RqzxdKwFvXH+nD+CkB0jdcKQMPrOUB8pccGw80tH793YnJ IdkG9OGtra/r
MZkR/hKnJpHdTUnfu1mrUvdgmlsLa73kIr9dN7WulVL/ukzV/gw5bZVVz5mm XIJonDDdaQuY
zqlajwd81NS1VVLtUK4dSNyzjV6rQhB+RAvK4qrBVtWQ7NeAPwBGCkAMB4Hv AtewyThq4HXz
34/G/WJTo47Kdda/C6ZBfS+Fs5Pv7YhEs5uLuWZZS8JnCaA7WCa0LzY4qBzu hFZp97aDvvzM
9WH/RQN144Btn64DPw1Zo+EU7NZlsy4/+oClCaBmIJpGRwgNRMJYQEiJqWLG w3wRBNfn7tpe
qXn4q7ZJIzhLC4VoEtMzagJgQTai4NsS1AMbRYopPySpgc2wDUHLZJYheAcU +6uygo9YeA+c
t5kL/IEAOtatAO+qf6git5g9zm0DMqcP3Il3SQkrWCblHdxwf9NH8fTBJwKL Gp05dAbhQXvI
mw578rBPcoyrWvQGwCuwZ/I8uqrqLKWfeqRqN81C+H8dTgNxE4zdEmrPPOSA xpSo5h6C7txU
El4pz2eqwil9uCX8LEIoePUGw6YlRW1HoeeyMy+cz4NiUB+D9jAE9LzQm+jG NH+Aijnj5x3d
3EZ/RjfNyrtJnmLpnYAMiFxKlvk3pAbgf/u/1FIG2i7wNh5rr+r0NLQw86/G F9iktYXXJ3nN
sAGw/ZXjIhc+ufqUwNhXZ+2uAO/qNa3CYbG3Ze62QLMTsggAXrwUYHVvgwZw 9Z3vye7yXboC
hnSEC+k5TP5EHJBTAjwOBEINnORzSoGADEXNWGNSFaQ6L9Tcaa4ou5BK/zOn KrM1hg24MhXN
l6BXq4jhDbmbFyrGtlyQkR+0wnVLSfrjts/iaOFPWvRkp/ODASKmkGRaHYQg FBmjPAsCV7ao
kAePn5BZsY0L1pymujfP/P3Cw/TrrVDZUVFbXNhCLbHd3gwFyxaCIyoyAmxT q0QBMWFtTKpy
1tKmSibLNC70fyaFxfsT7DCKCVSoqJupiKEVBo+Ed5rQiPLdgwddAS52WQAP bZN59TZO07du
BDBGWkRQCUaxNn37Snz375hSzeMMS62p4JgWUEXQ1tRCw6EBtwCC3yvrdIhG FnvE/ikvklkC
6HuaTVgYUMYf6pNark8QmO9G4QOUeBXxH60zg0D+8jSKJ9CujyeRFMBkAV4q Dy5aOqNNdcSa
6jPCs1ucKSNefHhttOBTZ+qHBAKOjuCs7vMHJ6yvQmprfhvS+u8fiWIJZJAT q8PAHacGuRvH
8Xp/Mb12cAexmaDAnJfX4V3+gN5SA+sqrlzKei1NiP0e3HHJ3HSm9kfi46sS SruNBOCr/oiB
hHX3vsjK1f+Yq2IG94H5mfupUqkDiu00XcLumgFRMABEGrqHImII70v2AyU1 Z0jjiouF535T
bewKBGrIJF5Q6M9AskLX2OXkjjDNgLTsSxfaiv1K0LP8VH9ywx3krLLreVxN 7k4cCOdzDTOy
Fn9A1R/X2UCXpCdltCGgfjqS4IEcYHAGGJzmRgwwOM8RBodFwHV+e82EvXYX 2zOQmqsln3Wa
uCDwiC/GR+dIse2oAld/TRQPonQQpYMofZmiFGTJNadynLjkvOqiNmJJ/43C 6nmTg8reaXQc
VblTQIMOyYDvnQQybyLViEBotJINGwYFdpC6g9QdpC5LXYM5zmJh+Qy01k6h oFlyrzIZBeoe
A9ouAjQI2UHIDkL2RQrZmaoMrsqK3CjjQFfTQE3Itrknv2oFE6oAnlXyyWcF 4VxZ/G6FO7cH
5PpKkCCp/hd28NRiJU2NJ92FdBeFgnuvFBHAw8dgjQXgojxPyPToOxLrciRM kDQp3Z9sTi7k
55fLG0zI0yLPxo/g7jYPYXdAamwZeBRzgTzyi1yRUKYG42Et0nhi60Vs/V/7 oKWfIuIMMD2a
PtTYnLllsGdUQ/gcUhI9Lk0hqx9ieU4X4BQRS3rSQCgl6UYmMtrcYQzV2UsJ +Z1lEGmYDw0b
3ZV/U/7brQPuK/mDWIdyY6qZUI7VRzFVxiVGVUPxwWOIeW/NbJOW+zLAZcF7 k4PKcFLsVbuu
Os6OfRRVcqpRS+U6gaMb3SQxN4CnVkoymykRR6GNGzMLu0/7XxX4kWNvNvzY bVLoQxUaGdxS
WrvFb9/mqdY6TGm9Vf/J5ipUSnt8p3fzPPqb7F0qXwSxnM7yIqnu5v5cKHAP io9e5sTkfcac
YDDX04CrxSystssWyc17moL7JklrRURDNGRG4pjr6D6hfAGWMKE3tXlTe+rg 18hhMACfORqI
QI54wJQzjpLdLtNbLdiD4nzABDlFykKSoCVqfFupNRLZgwfBYmS4vOVxiB5i OeaNuoVsHiqP
7WieHDWHDEmJR5GLuDX9/GqBDbQzUfAeLkRw/Va52KEXKr4z9d5hA7KZ9StM TtIRVqRJCIZY
oXe4rL7CL0iBwvOKPtKezSY+axqnewXqgaw31BOF0V4r2/Ed22P2phAYdKoV rLLMJwlWyHPP
d+lJp6z6xOqHsui/tguY/vhwl6fb45c+LcXWIA7X8mnfZ5N4US4hkirV2TbL 4+CJt5dcleCs
1NjcXTl6NtksLe/QgW4qIDyqIhsZ7XYMItXceVSkZQsrvPxT+i7HWgRSAlCS 8mmZ/qD5N2Ae
gL0MhgIUQ1R32kKYGu93kacIfGsKNVaO5Jx6wIKmxstZA2WuF0xuJNoSKNQQ 09fCKzeXO5vg
Ls1fFnOY0gB6VZuY01QFtuSOtX/NOPFNkgIqn4ECMBnFqGEwE9NRXeRFJff3 rR3KwKOYo+ZK
o7TWgJgPnF5t06PRKaXg+Bf5cnaHATCTGlxCPnMOx0BLrE/2H+aEYofILwl5 JrSMiQXK9SQG
pva+oIWSHPDwwBUkHte2ARCRhJbC/F4jP7wM0fEBbPV7VRTJdArGQg6lJOly Kr2MiwIer5IW
MInsrnz1ht4CtAb97+jPSGgJtiuyRJxo2oaAEMEP1p2NBgxClTD62dlZt9DU ZlANTrZeGGKv
xlCAhW/SFiIMz7BRc/dNqn5rAZcgY24Sejk8v0IrJTRhTUEcuGJ4uYITZY1w JG5Oq19o/r0H
PPPYGkV6vXpEPgEgFMGX6mooWPiQPK5Q6dCCPLMfr/mtQNCSGMSoMVZg3Jh4 wkToBep8dm48
NlVczOj2NEW/IAQ9pxSIUv4x+QfN1Xda7fsYOObajl3DZplg4i7C8yNJn8eQ BVbT8c2jFxNR
m9STpI3NKkvSKajmw0rSs4CWvhd6Gg1WKo8XNTpcrBu+zSoUQ9r1RuusxSYT dS4XQh2NUt9P
PH/o0mqcTj0EsQMaqrZ4TDGnk3LwIyAjnduCYNMXG/9KPhXzon6IkZaGBKAh AWhIAHo5CUDv
wWAq4W+bqKb2rRV9rQm764MPytsdvatnIF+L3pUJ26cFsGssyloRVVf+Ae1P 8lYwpBNatSMG
dDpDr0TGt7v7lGfRvxggMIGIunsQMEsT1DY2Yfdj2Ksai/Wwbeh63GTb+kdV qx3Dw20aHfXP
Rw87J0XSPjanazfqn41D71QaUr8LYLU6Dyym5lkn5Tb92LeKgunZVH660fpk OC856ThCljIb
Lk1rbhrRJMH4G0e07jPpZX/b8d484phmrZ9BB1qKh9f6PuyzNefHwYPTuZMG K10cu6Cg8D+Y
aGQPsWqI471d3W90RSoKvXgykPqQbsqJa7BupCq3R3gSiTt5JNkbulcUTXSu PKcyhsDVBgYK
GqPC8jEJJO7GIzcTdfWjJE8filOfLoiF2heQbgX5wckK4iGIL3xEzYzBiNpf 9z1k/eCaWY/a
NkdbvHw0N7GPUmcC9368Ge5iSA3H/NccEQUX67BId3L3RkGRvj/JrazbYwvq Op/JDpPAa5e6
/caFVT57V+Hg5Dsvk2y/8RjFU0ovBMRlG+owOThOf6bcIg7WBBuzKPeBh7u8 hJeBQd5DCQy6
ZzUVrGbRRTfcM1yer6XXoPN4WkEAvd6SeW7szGU0E8IQXv4I9ownpAdyCjey UBhcT7+AL9rM
q1rij8CegKQa263qPPqQmYZ3JVVUG25ak8ilh4HIx4aYcziAKUM/9Sp0P6HO CPBA+djKXDtB
U9xRN4hNJs1s6w4/7OSPM0SdhqjTEHV6gVGnKwdBdGVujY1cy/atvtQbbQcq Y9jaiw877tIx
9YqL/Tvzjmyd4HWprz08y9nkcRuvYWivL9N0u+0OOJiOZtuNX3DDrQeIFajc 5gIXLULh7OyR
INtbkjspuT8eO9KaA236nigAdQQ7bQduUy/apDKl754XNeCgWtvEzXTt3ZAv ZDxd+Idlb7S0
wuFXJxu2OZpXwXHWeutDr13IApqGcdiDJ5+rO0Jzrfn2Q5Q8dy9KAVw6LsBX r4TEv7USPzwk
eiXrvXZ2zJSmUhnXx/9o9FrWG63/zzt7lew5aPS5SGYztdXVYV89vpuDpyY7 8XjXxtvjujae
5igKy4m6S0j+eHifUJvK5DotUANc70eZka5vkOpBuYR9LriDfkZibG644L0I ZVB+a1P+iA0w
sJspR0uxlPgGmJFfi2MITXKNg2hr2JAtW631rnJ7jlwnokXNOW8smuQgps1q d3wMnfi84IZs
+7zvw3er3bvuWSpBj2+41thTbIIaxzHwQPCmlbXC+rBaPpFHn2slQ1XGjA1c ZzLr9UqqaJFD
3ee6GtwnMBVd0oeS6y0Ncvry70tZjvLblFo2KcVdrOAhWRaFEX1WASf5HfWV Xixv0mTiAGoQ
WUr/aUaLwiqppCZTsCu7FSJ/RYvdNT8LdXP3uMcNh6XkDFrBhaJGMmFESUwk kk24GqXjco7g
duUcI2ymoyd0HxeI1AdbZlq8WWyOkemho7ftFRfUltUri6xRUjlxkVf5JE9r VvGY2R8mpiUS
BLZQ8IDUheY/RTJhNYinGE/McqjA1r/ZRA2c06Jx7MzUcNp47wigiTg8B+fQ pelIzNhPCRAl
DhPRuxPuYpicnjr6s/0gAxSxEJMKjLraVoB5UFYqBnwSf/Lwdix2sJJoSjWz Vd0DV1J3wAnz
oybMBdAkcjSxuZAiOYkyuO3+mLL2jRWIho8OwZWwGvvEo0twptxi8KimqQCn sqp6Vj+k+tCR
pKiHlvjlV280QS7TdATN3G/PxUdeR3+hN4cY0hBDGmJILyWGNBQX7aK4qHll bSA8hwKjocBo
t9s2FBh137ShwGjL60KkcHe+LiykRL+3hUuBbL0rYJ/HtJDoBlZClwMeIfqD dyU4EIaXeyXY
PdjHMa2O/oA2TuZe9wM5c4OTB36KmYhp9rJF4jiFd2qHG4QndYMN+i1LkznA MP4So6ey352S
cmaHO7Xj1JoOgELd4IR687I8DSxox5V03ZF8TrdGMuk3Cvci6ySHaubnVM1s MRpFBOwJ6VNH
Q0sRSRF9dh5rYdBn13DnhRQ6EhSkbezhhwH3XfN4FFLYxNW6pK5+5Gc/QQju Z4rAHRGJRY+l
lmhhLaklVTNsuGCihZzn6loetKOcywAhC/FNTOtjT08TJ7iextBE1j98NoML 1FIyg8xTAIoT
geHirUGzLgoFVQFYUw6NgSqTOAYDJouKsxwQhBuwut13phKhnx4giHIvZVp9 1f+sNd7WBFno
LeFePmZ5+kOI4w1TdQMWqpm5ZgPm9bwFM2+aIJtjTy6I1E9c6wNRnHq0+jKy TIzVqBmB+MYR
Li6MpPnvuO4h0DwEmodA87MMNG8H6IPCuYuC9Ime7M2HwNeIa3/qrgdqGtET LALvy3GlRJrd
cunssot6qTDori+LshKdOCb5fL7MsHHE1Ka3szVBFzxqEthhhCF1eOedmnGv QiO7Vu6m544g
H4891YdIS6KiSExRhDfNEbfxhGxEgGFCNSepjCKBz0rldjJZFqbyBttsIFQ9 p1zikGco2W1O
KDdZcd5J1o+dwuT21AE8mBJLaNvTKCUrnRrkRhJT2xjPYQgFdgwFMtGGOOCq xQ9xwCEOOMQB
hzjgbnd6izigFxPqLLr7C/k9TWEMexrr6qP3aw8KZIuXETtEP8SPHshVrTWc h4IQXckaBlLi
ZDiwUX7Prd6hOxGNzs3jcBqoBWh9y7SRt2UPUJq1LOtOUD2GFjpTHEz6QrPa R78txZxA1WtZ
vS0fwph1XlJnaSzEANjJCpRIQr/j1RnvqWh2B7pvs1W1nn8+I8BKqxWJbeLV au2YDon4CBSX
kNIzj7MMRsIaBa45SpNbNXmcpMruK6phJNpibwI3j/XtQwnuSFCbEw+IuJfU o5CbY+KeuToe
ellOSu/uTO8kYKlOl4VpWKi+JmXVQS0OHYIndrxz23BtHDI7dxAe/DJr5WIs W8GehIyQ5hcd
w/LH6FIMtms1Xeudk3EEzxrX0RsDjBadnUknMtll7ue99LWTQvMiQNTVTe4O 5OncKSMc2tu5
glYh7bCjz7OvLdnY79m+/MP4Pg/t/Ty4tzXoAW0zPbZsrcZS8VpcoqceD4KE Dql33LbHiW3R
ovnZ0yVGcpi49JrSwt0eUl7BIzf5Es/UmWyZOkNxz7WPRfRnVJy7se0Plf6h OsduqbDfH25H
5guf7cNeE9QhbjXErYa41XOKWzUEtJ5v8XitzYHqepqfuGT+7OyhVUKZu4Cj Po7LH4M5VKH7
cpqTjQUl44yRcL5G0JbLm3tV6CNh/36v/35/LrtSowS3EMekyN+f48eFlo4q vP6znkzzr9P8
kicmftP/DwcbRPYgsgeR/UJE9lSpxXVeXJd36HK7vkvKKj/5NKuPQWFdetIa Vg5Smlce8coj
PYflNCfR3yquozZ5HQUE9sdyqXjEmtjWchshj/45rf76JvoLTOl/0jRIUtd+ 56maRwaJPUjs
QWK/NIm9yIuqBMdohkm9Jy6poWHXQx7hovBM2oWJHl4tujeHoCArKCkw5GQK JUbJrQlznVm/
iUUGs/nVq8elMozWccXdgPHYQQYPMniQwc9SBm8Lv2uACLcpVzMq7Fs5zNri 4cBbF4bl/JyE
A8t5MSGboRoWv7suOQ1hpe85UWR1gkit18IBk0M+NawhkL1LzslVXyFLotll YREXpgTpsazU
/NyC8UJSyRxmwSm4EJHQ5lAJubLw/KyIF3eYt4wfzvSjXM5ob3kIT+Rw5xZ6 JH0d/EeOuSku
4KAviYkoWK4Ij93FNaZJuYgrWNGMMqQL7uY3QtjNM5G1W55H7yhrAbMu7GTH LvnB6gDqq5os
ua7KDsnePMSKrZU9GThWRQzmkpDlqIfPj0hKffBKTM+o/q7n2S6JOjSN7fUm xQKpqL6e0ZlX
64bFdZxlAHRupEBN7NuMsivqp+sZQ6z9Caz39nH1SbLdIJ1eGhz5h+hXdCWQ +pNkd5q9TBJO
wb+YDJ3pFPRg90ztd/sFTCWaxCWqGvNlWiWLtH3C5VhM1nTKW7/MmQK2Lqq7 fIbNM81kICFJ
xZO7Nev2nSmlnmT0OvI1593lkwRq1RtHYXVOiRl7kzz95lflVbZVzPsQCU4H j6s005b4fgmF
Vm58qGfBRTZzKWs2fhSZTZ4vzoIjDJHpwWAbDLZnarA1xShR89pJnucgRhvJ yKKL9V1e12jy
23BeqPGPhVpkcHONENiERE33M0UD4ngUktWBJFMa22t/8uoN5hfDGNGf0UQr DTzWkFw0iPBB
hL8kEQ4uA/2Xa+rK8zwkOK+JOw2F9GA4sTIoDc9gVBhTfuhF8J9Aqg/9y9eR 6QMf4QcXpUZZ
SsHl19FfcKSPZiDxdz0k/nkQtYOoHUTtSxG1pD6euHy9rIvRUqrGVEUXqpKq J3ReoFxtSOqN
1F/3NovhQDHVIFcHuTrI1WctV396e7mBN9mWuB8B/HOkpz4qvxuX359xdw1C cXHRABK2WqpS
WMC00CShq28BbHU3n0NAD7z0FcUWWaMtvyNnwPfj6CaGcCTXX+PP1h/sgt/R naZ2XEzuHp+e
hVN+twFNMIIqPhIY7vtth+vGQ2b3NvhK72YOxe7MzIGPImAkLeMmX6BEnsrn y+85kmYZhHnK
xI/L786tz0uG2H/4wb6hx45+oB/hG+a/z/R/8C44fgmEo5JbPcL3+j/K784w /cwyFv6H0vtM
z3x3ztwI/im+zFe/8f3qN5CG7pWRXBGsxL29ldvrxJg8KTmUhikAb4nmv8dp Ml33XcubR8f+
7WvygtjmNMhQLEpg5nzpIvA8BAgVkz5Sy3LK6Fg5hg/f5Y0H2NKYE495EpzS QOi0FBQlRAmY
J0HAMXPW+qDjROvhZK+a1RuvdZBAUNkkVKwNKW+SQbRhOLmVRVedHLuOTQ+Q SSdadY62xMif
JasQ1WvTWgWwTgOtTVKjBy9KuazeDqfJYiAoo2lSaBVQnyKDaRRM39lNYtqB MdX1NHgdJJC3
yEnkF31q4h8v3Oi9A60j3ex0RqU2w11yTCx+IuqeRz+bhBmbGUf4kjzi1H9f szcllFX8/pbg
pU9JLJXOhK2SS507uUtSqXv6SA5t029ubgcCfgMgSe/kwi316CBDaz3bQ7l6 cBFnlBuJyKWU
A9lgnpMWCQYjws9X3VIu9M4UtVo/TS2DfgVNNPwcvSNsjfLU3gh0+daTjS1H ReH8NMM/B22T
gA6CpO5BMGdMJagAg6SdkxRyzoW4fq6vKiO/SuNMQDQzAY0yJN0eNunW0XdV ti0/tTLN1uOU
Ffm19Nw4wq50SQV5s2UEdbnJpMkP+O/E2R5tfNP2mSGNVaaxrjwZbf24pMm0 6nC03zhey7W7
OJspmK1d2n2ubeAE/oCUEUMSgYWqo78N2Oc1UNWDn7aa/iobpmQOMhNdX55R Po8f/UzwA7Fh
iJJPzXXG4eL0mirqTz78yNILcvUJrlFTK0cAR9A9cakRLVWEEqHliwAV0P8G tP4gqIBVys/O
Xr0xb+unR4voh0j8rF9d2IwO/rB+o0z+obQkB2iB19F3A47AEIwcgpEvKRiJ yC8MevISRC7i
vRiQl4PLXQntMsjeQfYOsvcly94a2tZLEL91mK1uEnh3AriGnTXI4EEGDzL4 JctgjLCcuMi9
goDkr9ZLatvxxF5+FCNpQRYzJTfHaYkntv48ocMmEwXSuYxlpwgZ9wumOOMD Ek2WAAz5z20v
2BHde4MQHoTwIIRfiBDuEhBoD1Q0OrX2kj/UzK8zmW9GLlMnOn1Iy0pmuclM tkBQKVVVVM65
3plekVIdRCnljia3+rnzRh+fM0S3nZ/PgF5x6glhm3dazm3SKf/bDER/z6bJ 7doElyGjcwcZ
ncwuO8jl5JGeksUpWfPCpmGHwrwr8zjDw2wXVX0OmZycpbFRLnT49G+bPtrb kXGlJK3izBSW
IDd7AFuZTOVx+i4TIJzI36JfRpSgb+UfZnG1TakmG8Vvu5WONyrNs1n5Of/4 6edTKuxwRJUr
iEa2tiMxp30mHkLJ1IL+GKYlGC1t9LSkDPUikuR01PSGDI7lsYWWj7XluZGI RJuzwLYpvMZT
uHmS3u/85tp0T3rwwi6+x4w+haqUzeSxKJCi76wWA3yDnHQqpks82oa2n8Xb a+nrHj4iGnuJ
V7KrMBM3+iWvFDEA5u1CwqCX1FV47gyTEXazrMAkJoRDUqJoTc8hfZfzt9vY pVPePld/9EZ+
8jv5WFO/MsnXeLc6u7V+3lv5hknuvchsre7ek7V/XVOv09A2ezSNkXR+InY4 p/MI87GfdizX
ZtO36OehQ2r64h7FWf3Z1Ahuc2Q3dUgfx5F9Wma+0bvim1JfWBN3KQcy9ac9 puWTZmlKsHmy
Re: [ATL] helpers not producing expected result (containment problem) [message #103395 is a reply to message #103184] Tue, 14 April 2009 08:21 Go to previous message
William Piers is currently offline William Piers
Messages: 297
Registered: July 2009
Senior Member
Hello,

Adina Aniculaesei a écrit :
> Hello,
> Why do I get the following error message:
> "message: ERROR: could not find operation not on Sequence(OclAny) having
> supertypes: [Collection(OclAny)]"
> since I am not using "not" operation as far as I know ?

The not operation here can be a subcall of an operation you call.

> I've attached the ATL code and the output of the transformation with
> debug information in it, together with the metamodels.

I found that:

s.region -> select(r |
r.subvertex->select(...)->collect(...)->union(...)->collect(...)

)

The select must define a boolean expression, but here you pass a
collection instead.

> Also what does a warning message like:
> "WARNING: metamodel contains several classifiers with same name:
> EAttribute"
> "WARNING: metamodel contains several classifiers with same name:
> ecore::EAttribute" mean ?

This message means that your metamodel registers some metaelements
twice. In your case, it happens because you use a metamodel file which
depends of ecore (UML.ecore), but it is not a problem.
You should use the UML2 metamodel uri directly to avoid those warnings.

Regards,

William

> I have a whole bunch of them as you can see in the output file.
>
> Thanks for any help
> Adina
Previous Topic:Call ATL from java for UML 2.0 models
Next Topic:[ATL]containment reference problem
Goto Forum:
  


Current Time: Fri Oct 31 08:01:18 GMT 2014

Powered by FUDForum. Page generated in 0.02207 seconds
.:: Contact :: Home ::.

Powered by: FUDforum 3.0.2.
Copyright ©2001-2010 FUDforum Bulletin Board Software