| [Ecore ODA Driver] Reporting against the ECORE as opposed to instance of ecore [message #46162] |
Wed, 02 July 2008 18:12  |
Eclipse User |
|
|
|
Originally posted by: dmitrim.yahoo.com
Let's say we have:
extlibrary.ecore
my.extlibrary
It looks like creating all sorts of reports against
my.extlibrary works great.
My question is, can I create a report against extlibrary.ecore?
Let's say I wanted to show a table that looks like this:
class, attribute
-------------------
Book, title
Book, pages
Library, name
etc
I'm having trouble creating such a report.
The wizard doesn't seem to be aware of the hierarchy in the ecore:
that eClassifiers of type EClass have eStructuralFeatures EAttribute.
Let's say I want to select class names, and attribute names.
Both EClass and EAttribute derive from ENamedElement,
and I do see a root element in the wizard ENamedElement.
However I cannot seem to be able locate ENamedElement::name
in EClass's hierarchy or EAttribute's hierarcy, and no way
to qualify ENamedElement to create such a report.
Is it possible?
Thank you!
|
|
|
| Re: [Ecore ODA Driver] Reporting against the ECORE as opposed to instance of ecore [message #46194 is a reply to message #46162] |
Wed, 02 July 2008 23:51  |
 Tim Myer
Messages: 81
Registered: July 2009 |
Member |
|
|
This is a multi-part message in MIME format.
--------------030202010700080702050005
Content-Type: text/plain; charset=ISO-8859-15; format=flowed
Content-Transfer-Encoding: 7bit
Hi Dmitri,
Thank you for contributing this use case! We have checked code into CVS
that will allow you to create such a report. These are the steps you
would take:
1. Create a DataSource that points to the extlibrary.ecore file.
2. Create a DataSet for this DataSource: select EClass from the
dropdown; your query should read something like
"self.oclIsKinfOf(EClass)", and on the Column Selection page, you should
now be able to select "ENamedElement::name" and "EClass::eAttributes::name".
3. Create a report with this DataSet and you should see the results you
seek below (you might have to re-arrange columns and setup some
formatting, but you get the picture). I have included a sample report
output for what I am seeing.
The problem you noticed is that the EReference features that were
displayed did not include the features from superclasses.
Let me know if this update to the code gets you where you need to be.
Thanks.
-----Tim-----
Dmitri wrote:
> Let's say we have:
> extlibrary.ecore
> my.extlibrary
>
> It looks like creating all sorts of reports against my.extlibrary works
> great.
>
> My question is, can I create a report against extlibrary.ecore?
> Let's say I wanted to show a table that looks like this:
> class, attribute
> -------------------
> Book, title
> Book, pages
> Library, name
> etc
>
> I'm having trouble creating such a report. The wizard doesn't seem to
> be aware of the hierarchy in the ecore:
> that eClassifiers of type EClass have eStructuralFeatures EAttribute.
>
> Let's say I want to select class names, and attribute names.
> Both EClass and EAttribute derive from ENamedElement,
> and I do see a root element in the wizard ENamedElement.
> However I cannot seem to be able locate ENamedElement::name
> in EClass's hierarchy or EAttribute's hierarcy, and no way
> to qualify ENamedElement to create such a report.
>
> Is it possible?
> Thank you!
>
--------------030202010700080702050005
Content-Type: image/gif;
name="sample_report.GIF"
Content-Transfer-Encoding: base64
Content-Disposition: inline;
filename="sample_report.GIF"
R0lGODlhEgL+AfcAAAAAAIAAAACAAICAAAAAgIAAgACAgICAgMDAwP8AAAD/ AP//AAAA//8A
/wD//////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMwAAZgAAmQAAzAAA/wAz AAAzMwAzZgAz
mQAzzAAz/wBmAABmMwBmZgBmmQBmzABm/wCZAACZMwCZZgCZmQCZzACZ/wDM AADMMwDMZgDM
mQDMzADM/wD/AAD/MwD/ZgD/mQD/zAD//zMAADMAMzMAZjMAmTMAzDMA/zMz ADMzMzMzZjMz
mTMzzDMz/zNmADNmMzNmZjNmmTNmzDNm/zOZADOZMzOZZjOZmTOZzDOZ/zPM ADPMMzPMZjPM
mTPMzDPM/zP/ADP/MzP/ZjP/mTP/zDP//2YAAGYAM2YAZmYAmWYAzGYA/2Yz AGYzM2YzZmYz
mWYzzGYz/2ZmAGZmM2ZmZmZmmWZmzGZm/2aZAGaZM2aZZmaZmWaZzGaZ/2bM AGbMM2bMZmbM
mWbMzGbM/2b/AGb/M2b/Zmb/mWb/zGb//5kAAJkAM5kAZpkAmZkAzJkA/5kz AJkzM5kzZpkz
mZkzzJkz/5lmAJlmM5lmZplmmZlmzJlm/5mZAJmZM5mZZpmZmZmZzJmZ/5nM AJnMM5nMZpnM
mZnMzJnM/5n/AJn/M5n/Zpn/mZn/zJn//8wAAMwAM8wAZswAmcwAzMwA/8wz AMwzM8wzZswz
mcwzzMwz/8xmAMxmM8xmZsxmmcxmzMxm/8yZAMyZM8yZZsyZmcyZzMyZ/8zM AMzMM8zMZszM
mczMzMzM/8z/AMz/M8z/Zsz/mcz/zMz///8AAP8AM/8AZv8Amf8AzP8A//8z AP8zM/8zZv8z
mf8zzP8z//9mAP9mM/9mZv9mmf9mzP9m//+ZAP+ZM/+ZZv+Zmf+ZzP+Z///M AP/MM//MZv/M
mf/MzP/M////AP//M///Zv//mf//zP///yH5BAEAABAALAAAAAASAv4BAAj/ AP1Ro+bnn0Fq
/6olXIhQocN/DRcqjPiQIkOJFx9OxLhRI0SOHz1a7IhxZMiSIE2qXGjwXyo/ qabhoyZwoMCZ
NWlSwzlQJ0+bO3UC/elTaNGcN40mRRqUKdGlPaEOVdo0atWpTqk+vXrU6tav WsNmHetVbFmy
WM+qTcu2a1upbuPCncs1Z0GE1Krh3YZXL0S+EP1SA5x3b1/DgREX/nuYcWLH iwc3lvyYcmTC
gjErzjxZM2TOH6m97Dmtp+nSpgeiTr36dGrVr6m1Jh17NuzXtmXX3o2bN2vf rnsL/z08OPHj
xpPTLr4ceXPlt51Hh66b+fTn2K9rrz7wLkRmp5ad/wIvnhne0OjPq0/Pfr37 9vDfy49Pf779
+vj9DJwJdL9V//0FFSB/RhGYk4E9IQhggf8JyOCADSro4IERVgjhhQ9mSCGG G2qYoIUeLtjh
iB9yWGKIE55IoogqtsjiiykumEoqhVUTSks4MrNMjTzq5WOPQP4oZJBEDmlk kUgeqWSSTC55
5D8w0bjalM1RGZ2V3GGpZZVcXtllll9u6eWYYJIpZplonqlmmGya2Waab67p 5pxw0qnlFHjm
mWcq1RDGDI4t3cOMeYQVqpihkCFqmaKMHupooo8uGmmjkFYqqWPVzIiWXHV1 CtamdH26Fqei
vuWpWaaWSiqqq4J6qquqhv/KqqywzvrqqEtNAWhLdw1k4z94NoHnP9JMo2NP evmK7LLKNluY
s8k+K2201DI7rbXVQovtttp2e+1AeT4b7rUzckddbugCl52566ZrHbvbuSsd vPTKe6668eJb
r772tsvvv+/2m691uu7qEo9/GmxQKE426XDDED/sMAoSR+xjwfpVgzGRMxLo 8YkfLxiygyOX
DPLJIqNMssomp+zyyi+3DPPMMtfM8s0x40yzzjbn7PPOP4c8hR9DF020H9XA Qo0q1NwIww0x
3EAN1FKfojTTV1OT9dZLa90111h/LXbYZHsdNsVge4322Ga3TXHZb7e9NQpl pw12wcDiPQXb
Sov/JmWcgNsZeJ2Ey1n44IYnjvjigjd+uOOKQ87447rR+CMq2xic+SkWV+z5 kBQriULoEwNJ
euedFwToFA1riuutqdoaK+ytvj777bLnXuvutuveO++xA1978L9bhXTYN0Yd dTVUV4MK3KOj
cHX0TL8tPTVrn4390tRjH/30o1e/ffRydx131hSn/7331pMPy/qqUH999HTT Xz7ZeAPLt9h+
7xswwPMSmP8CCMB7/e+ABESgARPIwAU60F8KhGADJWi5gagCc//IXOYUkjmG WTBp0tNL/ZT2
Puypohpoo9jSkqa10XGPhOk74ftK+MLRiVCGWkuWDEP4wfeh4IYgpGH8/2Bo wiCq8ITpS9YP
0YbCFZJQhxrDkR9wCAsoPtFvEsoiiFYUoy5q0UQw+iKKxMhFMrrIi1s8oxnD mEY2ghGNb1wj
HMfYxjl2SD9MY1of+MIXH+CAj03Lo/kGSb/0jW97ghRf9ewXN0OKr5FdS+Qg JQnJR05yfIyk
G/fil8f6dVKSgsyfQaYAykh+rVyRo1wqVzk5VkrulapspSxh6cpY0nKWcKKR E1HBwX/g4Afb
AAMY/hEKJ76whmST3gjpxkKsMfN9yZweNEE4xGOSrZnXw2E1t6nMHTpzm2Zz oSObuLYfgi2K
o1QdlK55Tr8Jj1bFI548h0dPeM7TnvWkHT73qf/PfuLunf70HfHwCAs9biMX 5KCGH7fxBTBQ
43kFXVoJVVFC6VWvoHTDKEXzGFGLYq+jE60oSN8WUo5ylKScDClJ0wfSi65U opz0pEY1yUmY
wrRge1MFTiO6UZv2VBWoLKAEHziwCRaVqANEqgCXKtSjDvWpTo1qUqE6Vamm ImsXrAY5crEN
H/iAGsLcRh9MWdOakk+RiCQrTdnHvbOytazeK6VbrdfJuWqSfots313bKs5L SrJokTxaKUuJ
RZ4ZNmiHBZpie7bYxDL2sY6NLGIn21jKQtayklWsflIBVFXssTCA5AtMOsvZ 0pL2tKZNLWpX
y1m6qfa1rI0tbF0r29r/wjYVKLitbXcLW6D+7ZbAtaVwa0lcXBY3uMcdrnGX e0sa8RQVfUCF
H6BL3ej6gafYNalPs1tIj/5Uo9ndrkm7G97vplS75hWvT6lX3vai173qhcVo 4pnPf9KXn/a9
Z0ABmt/6CtS//P0vfgXcqc2q4sCcpWiCO6vgAzNYvg5OMIQRfOAJP3jBEsZw hTXcYAp3+MIR
3nCIP5zhEVu4xB4+sYhTzGEVk7jCFNUPUyMo1Rkbtao4trFSm5pjHuuYqj+u sY99w1mYFjS7
RzZpko1s3iVv1MlJRnKTpyzlKiuZyle2MpO1/GQsbznLgoxSHOsoxzKT+cxj TjMd1VxGNK/5
/81tZrMa3RxnOM8ZQ9fVrZ55y+c9+7nPgP6zoANNaNUCVczJTTRzlYvcRSu6 0ZBmtKQfDSbO
wje9mL60pt/LafVmutOf9vSmRQ3qUYf60DHp74ADzOr77tfVqn61fmNNawLX utV5HjGDd81h
Xuu618D+tbA97GtiB9vYwy62so+97GQz+9gviTZMpi3talP72tbONra3re1u c/vb3g43uMct
7nKT+9zmTje6163udrP73e6Ot6W7HGV627ve+L63vvPN7337u98A/7fAA07w gRu84Ag/uMIT
zvCFO7zhEH+4xCNO8YlbvOINn+KgN17ojnP84x4POchHLvKSk/zkJv9POcpX rvKWs/zlKVda
q2dt65rPHMCwtnnOb77qnfuc5jyXNc6B/vOhG52feQbykGncY6YHuek3frrU lx51qu/Y6VZX
Ota3XnWuX52BRb6znd04djuKvc5oP7vayZ52tq/d7G6PO9znbmY5y73uZcd7 2+lO57fr/UQa
n7SjBx9pShue8IIvPOIPr/jGJ/7xjFeupY8u9J4T/fKUv3XRLZ95nWOe86Cv vOg1//nRe752
gfe61rvO+q+7fvWvF7LqZd962Nue9rGHeu6nPnvdr2vymA1+ZYd/WeJntvjI P77yhZ985i/f
+M6PPvSn33zqP7/6BAp85Le/+O47nvvf9z7/5MUP/vGH//ySp6hWusv+9rv/ /fCPv/znT//6
w7/zQSc9/jdv+vyfPvT6B4D/13+vk3TTgQIKk4AKuIAM2IAO+IAQGIE4MgUq VHu4d3u+d4Ea
mIEcyHsW2IFZt4Ee+HVhJyIIyHd2h4J513d3ZxWpQIEsqIJ793ctmII0KIN+ F4M3uIM62IM2
6IMr2B1AVSYniH7ld4TNQTQUg4RGSH5O2IRQaH5SyIRTKBrqJxUnGIAEWHpa SBQvSDH+F4b8
14UDSIZiyIVlmIZnuH+pxxpFiIEjCIchuC9KKIe9F4ciOId4CIJ3qId+2IeA eGPARzJZCDIq
hH3Xl4jS9zFfqIjW/7eIjoiIkDiJj1iJkmiJkZiJ0qd9y/GGpcFIrGQ/jIYC VCKKiraEg1OH
VLiKT1iFUciKr9iKrDh5TvGG/oACP4ECPQeG28NfumgVvMiLmieMudOIAriG xziGaqiMyLiF
+4eGzaiFBmguJ4gaFSgboshW27ON11iB3uhC7PONS2hI0bMa3jgQ5HNI7POJ 4kSK6AiO6ViO
6piO3QGDgbh7f/iBe7iP+YiP92iH+piPJTghhfiOFIMPKnSL2MMfuqhCDpkT 57iQ6KiQO5E+
NYGLLkSRBBKROqE+AWJIFAmS6riNmCQQB+mC9hiEKjmDQMiSP/iSK5mDMOmS MVmDNYmDNv/J
ibfhiaSRPtY4DSoElNgjlKQYlOGoGoU0lOgolNiolE6pG6bISNUhlUqpPuSD ikn5jdGhirLY
lbH4la4YlrAoll5ZOVd4FYWIFBh5kbeIExa5lgnZiwmJi0LxiwhJkW35i9gD FcR4jsHYkdxo
kiQpmIQZFBVoknopGjAYjcsIjcz4mI4Zmc84mckomT3Xhqfxhju5jUTZE+54 jubomejomUw5
PtbImdc4mqaBlSTpl015SJ/YmqKJiqKpG3WYh/+ImwGZm3y4m77pj78JkMBp GoPoMQVpPwi5
Hw7pQjNxkiepmhVpkBVJj+STnIZJl9DJkFeZIFJpnct5iMwZPc3/eZ0VOBON SImXmJ6aiIno
uZ7q2Z7wyZ7yWXw6OZUQ8ZXuCJaUxpX6WZZj+Z/+GaD92Z+06BW26IyhkpiV SZmnYowI+qBm
CJkMGqGWCaGNOaEXKhDT2BrV2I/C+aEXeJvBqZvDCaK9WaIkaqL8yJsrCnZM oyIFeZM8OJMy
aWfnKaMtWaM0uaM62qM2yaM/6qM4OaQziqNC+Fv2KaBkiX78uaROCqAD+qRK CqVSKjgFmotQ
Em/wtqVa2qVcCm6LKaELOqYWyphmKqZliqYUinOY2ZN68qZwGqdyOqd0Wqd2 eqd4mqd6WoEt
iqInqqIemqKC+qeD2qeA+hrFyZ32t6iM/9qojvqo8+eekhqf7zmfk2qplHqp lbqpKlOfVPqp
UxqqUQqqoyqqVXqqa1KgFbqmZMqqabqqGfqqGHqmsEqrs8p/GxqohLqrhlqo utqrvPqrwsqi
wzqiwToQA1mkQEqkORqkzsqsNPqsyiqk0yqtzQqtRpqty4p3nmqqpIqq3hqu pTqu4Equs3iW
rpqusaquttqq6/qu7Sqr7hqvEdqmvkqs+GqswLqvxeqn/Jqv/tqvh5oaiZqp BoupCMupB6uw
CaupDruwD9uwELsg3Wqu4lquGPutGnuxG2uxzXWWtaqm8Cqy9DqyIXuyt4qy 80qyaJqrADuw
Afuy96qvAjuzMf9LszJ7rDhrhaZRrdi6rdfqs0IbtEQbrT9LrUWrrUhrtEML kxWbsRwbtR4L
tVPbsVR7tYpzpSabsly7siorr2DLriz7tWJLtr5jrzp7s2oLs2xrs22btm/7 rzu7toOaqBJ4
t3ibt3q7t3zbt377t4AbuII7uIRbuIZ7uIibgPX5pV7auIz7uI4buZA7uZJb uZR7uZabuZi7
uZrbuZwbJSArGok7uqRbuqZ7uqibuqq7uqyLurEyNPJFG+rUurRbu7Z7u7ib u7q7u4aLEAxI
NMkqurw7vMRbvMZ7vMibvHjrD/epRS+4uMobvdI7vdRbvdYbuAhxJsCLrsJ7 vd77veD/G77i
u7sIISvPO4SmMbvju77s277u+74SOA33qRzb2zdBkQqn6w+awH448A/EED2H YBD9AAejcwOD
ew8EHAPaAAr8+w/vMDoBDL8SnID7210G3BL9wASjowK3cA+x8MAoEMH5CweN sLyakAK3sAwQ
PMF9iw/Ni46MODRDuBrqS7r2gAIpUML+e8H3oMEooMP/wAxALLjwgAIwkDk3 nMMGQQwGPMA/
PLr9oAosjLtFnAKxYBCg0L9LjAIc/A8DbMVOPMSlW8QXjCP+AAgYLMW74g92 kMNsjAJc4IBn
PMUGk72e6UI0PAWq2r2mm8S3IMBo/A/34AcajMIGwQx/TLg3/3wDmVPFiTzH /kDAIny4xCAG
dGy7SXzF/+APf2AQD6wCmrzJmxALkRzCqOsPDNzFOEIMY9ASlbyAqIwCrdyA rHzJgOLCF0k/
OfG8sQsbNTy6mTzHgWIIN8zFmcMMoUzEKBADSIzDjeAPauzFBCzGhPvAlmzL rVvFsRDFLVHK
ZWwQ8LDN04y6g6zBQ6zCcezAKHDNCai/cNyA6IzNLYEX4Ug+pbG9PcvHY4zD KTzJ9xDARbzM
QZzIKrzBzYwCYUDAOIDAstwSIKwCmfMPAe0Hy9zI/LwMs7zJkgzOBv0PxZzQ KLDQGizCAQ3R
Hj06IB3AIIzDsfC/WszABhzQhUDA1/+80l0s0wR8Axm8zi1R0KqMzTcMyu/A zgyd0Wa80QVt
zAaR1Be80i+NAhfs0i1R0hF9yLfAwDHQ09GTAn2w1agwOowABypwCqPzzPtL yDwd0IawvxCd
1IZM1UsdPVEd0lgM1RKN0jTN0Rv8xwEN0jqtwezs04lMuMzLRueLpL+cuMU8 OulsEPcQyP8L
1ULs0UxwxDC9yWztChocA8xgxJmjwiVMDEdsD0wA0Qx8xCcdPY0dxv8A2v57 xO6sApq9zJ2N
2q4t2tsQ219t0v97zZftv3T9xiogDVzcwUzAzFIt3NOgwTBA3Mz8D8VgyqDw 3Ngc0KPDzsXc
2DgSxqRt2Xb/TdoBbA9VsA09XML3QAWZI9X/8Nu3jdpejMZJDMQMnM69rdFc LA0qoA2S/MYw
oA12EMJvzAVB/cfzHdehPdpMEN7jvd52Ddz9K9zEzcE9jNzB/d8qsNxG7NyZ E90BPN1VLbh2
TCb1WxT4i7p+jNE48s8GEcsoQAWD7cl0/Q/7KwaRDMpBndti/dk//MD9m8GM fNcovAwiXMqH
UON/rMIBPOORbMUDbuStbcozPuDAzc4KE8tjUMQmrdUPzsBj8MW3gOXbMMAm XcTUzMKZDA/Y
vcJrvNFTHdxsLs1PzIBOjuQGYQ8BTOSu3NBTjtmmDOfPzOUObuVgDtytPOcA /uYK/+jOh3Dj
OKLCBqzoS34LN17jmfPAZe635dugMqxLPZHYiBvMgezYhoDBBGzF3VzBj76/ XQ4HVgzmpF1I
YxDdBkzaWX3SbhzNYdzDhUTjM/7FsQDmuk4/vL7Og17fib6/Al7cK/7fwY3s S94IAx7sqi3P
2twPq9DNOW0wrM3nDf7Gce7OfZ6A0n7ddU0/1F3ge/4P/x3BRO7OcQzT7i7l BT7uPK3uZc2A
/y0GUs7tWpzvSx4L0e7D0UPlgSu/zDHi/lHip+vIgXLFKh4orJ7IoNDqMa7k rA7wxf3vOFLE
zJzBz83wjk3K+y3WySzj61zjGM/BKA8oUa7sDEzwa7y/h/9Q7EFu14ru5WDu 5fKMI0EdyvHw
x//70//w83gOCkId4wIc8dhu6u1M8oBi7S2RyVscwS+/yQysw2Gs6MBd5DJf 7Ka88rui8+3M
5TSfwjbP5ThvzGJ/uPiAbpvOHZ5+uPHt2E6QOY8NKPCgxFju3zbf6xfv9c9d DNBe2tsQ3SY9
94Jc96z9v4Fv1uvs64C/4Y4vBl4vBp0s63H94P+d7Bwc1Lawv5oPx88u757d 2pNMx9pc507w
x+5M3cQQx2G89/896wtuD03QCOdt901wxSqsxZgP3I3vD5sAxK2fOQy8BVLc 23+A5/Zd5JvP
xiq/+Srcxcef/BUN3dBe+7cP3Q3/3vubvPkD7vmg//2iz+rQ7vKlL+SFq6d7 rPCky+KFxMiR
neVW7cWF/NU/XMwqwAejAwPMfs0AQQzFwEP//i0bqIUJCjGaBj4cGGMbvIgG BQ4c88/eQBV8
BsLwyNDiw4wbUaQIKUbjyVv/3qHAYRBhTIonpWC8B+ckqoGNanb8aAfjyIEq DR5FmlTpUqZN
nT6FGtWgQ4gVj9bsabBmjH4LU/BEcaifn4Ui75ElKBOm1rVEUYzpp1OkP7ko JG5MEWtlilsm
b2w7GFGbKFgOVehdiWLKULyIL779N7asUYoxA99IrOJm2HsLVYBtZBIoChtC wxoE9dCoVNZH
8VHzR012/+zXsWdP8QMrlWxq06j5aR1c+HDixY0fR55c+XLmzZ0/hx5dunNq Uf1MSaWKN7XX
qaZ/Bx9e/Hjy5c2fR59+uL9/sl/P5t0dt6rdvmUDV59f/37+/f3/BxC96uzr jTcCr8sOFti4
o8a7AB+EMEIJJ6SwQuaqo21B+OTzg77tfrMwRBFHJLFEE7+bpr0PCbwPO1UU dK/BE2eksUYb
b7QQHxXfYzDGVOarjzf8cCSySCOPRFK5AQ1kssUENZQxSSmnpLLKInW0bcHa ePsxt91k821I
K8cks0wz+6sOzA/VRFC7+KI8M04556STOfZihM9HIAu8DymT7NJmlG3oamQ9 OP8KdYpQqVIb
iIs6H4U0UvCWVLPS31xUMEMH/yGGL4M6U2FQOAoKji4UEG2KLlKjgucwSV+F NVbjMGQwS033
3A4/hFCNTI6WiuuMV6TsEFaqe5poyR9NipW1WWdjTXFNFi990sd/6JIoqWYA A5aJVZGK61vW
jtUr3GfPRVdSHfHskcEuPTxQIyYcXYpQe5goBI5QlR3oBpMO+TfYwAbCIS6O tDk0LkMcsgwr
FFS4hVyDHx6UKkfhSYERhvm1LF2PP6aRUj5HbjNTLlcS1yBT/eAoWU1U2kgs JgrtqpGcGqlZ
I746O8TUfE+KxR6+4ip0mb/+uUcOvW6+VpSl4SjEs6D/Hw7aU5CvxjrHa3nL MMsudWMSOIpW
SypYng2yJ1SkzuZZYINeykvgmtluwuYmlnYCMHKRnjkxku4tCHCN7s66cMMD THPk7cJ0cbvu
roWj47JHzfkfeI4+Kue5vQ1MjH6Qzamg0DWfWVmV4Ml277NR59Yg0mnu+3DZ Z0/vznaz5BBe
IS3KK6llDglWcJ0RQ5tzwINttSV76hY4eOM5/+lX1ftOu3V5A38+Zdq35x46 kQk8EFMto/Qn
NVSJUYnnypXFLDJD6MqIIpsPFbqld3bmXP2+a+5HDustdxXTyhcDtHlufwdk VvcUuMBZbW1L
G2oQrnZ3lJc8pCATewiiJgYD/8BcRCEPyRhVPtgI01QlBa/wCizqwhBGoYAL /ArVxG5gKhRE
bSA2tBoDdbjD4ERrRR8q2Zs2BSB/qCJzeeNhEpUInnW1i0e5C1KfHrQMDhqk GGRbYha1mJzv
NYlaL4LSEP9TPgtu0YxnLA6WuFYrLuEGbGxCYxzleKPETYtNjRPiHPW4xxHZ jke4i2CHoggi
PhbSkA/qoqWCqKlDNtKR+qHVA8f3ri9N8JGXxGR4fLg4IIrPWpkEZSid08Qn CnFP8RJlKlVZ
nESSTHxeo+FDXFWqQzElJxl0CkKqIpJV9vJjaoSg19xYyTDJJFvKSkECmcIv 7YGid3yTnO8C
Rzh4YP/Rl9eUVR3XVKA2OS5Ky8hWZDjXmsohZRmzdN04lbKtyCDLIGLEZjwl 5cc16kmQJJNJ
FSMDB3qxRniZg4M+VaYJtTVlecqUZ0Lp1MrwPYmRB8Ecxn7FL7schaIEFGeh LnKDrmTEd3kh
FMPA5c6j6HItOdEY1Y5CFe0p1KUniiSUbnXPXKlFltxSlqOUxcGcXksTHDxb KBBDkX5SEAWM
0EleMIaq5RFvdSlg2UkKBQqI+WMTS4vdS7V6ok160Ulg/CQ4ufWSwBU0dNX7 FOWYgFRUdSVl
54yF5kjazl+ZkyVny6jDeLlVvo6IlG+yp+6kSEWcEnQbxYCYyuAgBsROdLH/ 90qL6wL6P2KE
SnD/PKhdxXBQt8WFC/YQaF9FKyKGCumVJ4No6zo1NUSpaiOtVWsj4FrSZ6Yz I6/L3FzR+rmI
1RJyPinoaIVbIWCOT5heCpsxuYUQzChLbe/gqWFdAlTOUbWuzkRMZyzDNnU2 9SrJPEgytYsa
iSgrW9UcbnoRqSI7chOPPsLgQ9p3LUZhlL4V6QzVKlhQrFjNYCpIhdQGtlcR LiRqi7ELTuUS
TfU2WD/0zJO7TmnJEbnNwReOUGm/arLHlYhpGAYx4hwoUwnTlMIhguxpQrxi /nTVUhvOI4tl
fLi/sguK+JxxjrGm4S+aTDbw1HGQnVXcrrURuXAU/3KSn6VNaX3Rm0BWcpQf BWEo3RiVUsYy
pHi8SHdl2ct1iqmtSuyhmiIFY8SLioWRQlEVmwQGCEOoU8L1GI+61FwW9e2X weNixfU4xkcR
SJ2h8q+mUBXN9iDgnYNjsELVb6uKUqyK9fydGjsxkIIlpMrkwIfQPkXNZcvq P4oR56hctm4+
bWkolfUtfxCLb6SeNBf/AT4vcvnH5hxDq9DsaXUqxbwWFRRy5JqsPPcS0pIt 1IdjLR0is/HH
w0yuyjbRCPix5VQ1QVQLT3Ut04TTcs+8hyEUWzSOSIMghDYpZkwdCxpWlSow S0FhUDBDh8x3
ju2uBdTkooJp9I2i1lz2cf+Y/MNu/tke7asst0KHtFH9AxRHS01BNEEqTWDu H5qwjCgAYyqx
VMEg8bjF654a1/25s3KbaElXcHgLivBF13zkn05slj/OoTyjAV8OlQFJSRw7 HFEUIVXzZpbZ
VyfvU1k95zb6AYijOG++l1VnMYBm6kZDrypcEHqyCbdHqAOvb8i7Os6VNGsv NhSMD70lRLZL
80O0SuHecrtiVxMXMcDDqbW8ZUxwS5ExJI3kNDM59ex7dNGxHeYIZNrNEC12 6oxYzDcu8zLI
lvCbIw+8RVfxscOrhdZZ+LXcBZjajtUX4xFOcEZvOgJfzUfQZx31jFcOn6cV RGv1A4lNX+w+
VYL/kJ7pqyULJ2hLjGa9cvJNLKuwiBhU5ZJr924ZecmZoyunifP2veELX/ge RW546gMGHoKG
/XAqXUqeHyi/z0wxBxmlkKquMCytjsj//mGMuhosBYQoC8ITwgQVaMM0HxyI FNgMhoChW6Ch
gpELtEABtLi8e6OKAISFEpKqAww/gSM7SzE7H4OTCuTAEmk2SfoaYsq0DiTB EBk4Tiq4TyrB
FaQQnTOle7oyFpTB9aI1RTqtDpvBHPyPMFsjyDsxHQRC9ZC9TqqWLgvCI1SP 8XtBTBMTJHTC
8diy07q1J0wOonmOBwQ447DCrfrAMII2JKPC49A85mis5mA0vjrBsHkv/yMM w/FYFtZAnZyb
OOPjKxcMrEFqwjacDkWDimLwNjHEu1BzqSh0KDbUQ6aoH5ESKaIJqXn7F5P4 GYr5N2t7rsGz
KEZRCbowhNSwjD+pChV4BThIKQbDJh6EIJ4rs0NcivOLhZZrxRRYBJ1AKqA5 s5wxG86xqmTz
lnuoAsBohpbww/+xKr24l5/JC6GJq4YTK6FLJkdTqCHMFU8yRFVMCtziLf0B vN4SndjyG4Lo
DHuLw6TwxLfAPqXhrcjIG9BDmq1LKCW8w56jRnHMnutxHuzxOl0MDej5Q3lp i2BMCtZZm68r
HU24GInIutVTKEI8O9SKx2pUvblJGMRju+gLLv8/2bZ3GLx7CJqKVEfR0Bu8 A0lYC6UuPK43
4qaGVAp1bJuhyx66UImXmLmC2CnAsAesQz5OUYkyvBb/+TWNEAO5mZn+qavV O8iEZK9tYpzs
eDKUBBe5sKEaKgsTSoWkigUP0pdtMAylkwvMyK95u7hdsgwZMpUT8gpbWKGe ecCTQCGWUCg7
HDM8ZMoZKaKmuz3hUkgO28C4HJFwPAjwEy1TnCQJkiK9JBE2y0K+gkbTKkIc JMzGbAp3fEt4
dMzJRIq7DCPKxEykIEkjM8liyszMTMM7Uso/+8zJdEsr+0HC/DTx+Kcos8yH mkxCKw9syzLA
nCkyS029LL7xwCspS0z/GFPBycy+8tjNJINM1BxMwtQ2ciMYnYnAeYO/9jGp hoGIqjKN1XgM
SXPNCxyZDLzMxiSGbBEImWk0smSJlmO5w4g+vlg+sfoHm8uZ8BwJkQyxzXy2 IztJ1Tw1hAwM
8RJIrasrhIA+wrmHvNErrCOp3tzOF1PD0QxOpnwHs1JGhrhGwzsbhPAcZCmf 0/mLxTOnxLo5
LDvNS4NLwlyqowMu5WGe/yy6xMqs6AGgoUTG4km1HHvNaURJukgsnnE0iUq8 kHS0+zFAX0mK
7tMIuLjKEJUy24zMVNTLWBqIhdk/iFBABkwpFPigWVQNyGnOfaoK+sSw3/Sz By3N4phL16lL
/9g7ThKVzDIlDsKyosNcthudQjc1DjbzS8azz0DqzBG007gMTfdyUBz904Yc 0fLLzUJVxRtl
TEVtSCb1weR01HgUU9oj1EnVwzVFVEnF1EOk0waBUqsQjjHsVC/b0xCMNve8 Fk4YSqnguFKN
tUBNSjcJq30cjuKEVSk71AkbLH3SOOJozVzFMkb9pqPphz/wPhWQNxzgmIxy CE+Zvvj7yn25
ykmcisgS1q2CVDaNPIi4C68IDakSGrDonYQDnFYzCjsoL1f7B6HKReMbRv7M VpeqVGnsMPfs
hzzQGwu9m8rBRtSLvkRD1nFsu6qQ03ntJU3lVUKC03/41YOsR7kDnP+kkyyd mjh7KAiAPArQ
kj+ENcoadKVCnMLhs6hV+NFki0gNStmYGTeZsAE8oMmKjDuP5cKtCSbOFEFd CadVg1iWRLhv
LQg7SCx/hBzLmEmNeCEjRS+aTShZdTIhiq+DccqywCEUQrBEo8qvnDfrsTuA 6pdIawumladd
hcFEHbRec1WYFVsHI1YoiwpcfYplANO1ladtRUWzlbOyoM+ZoFsHq9fFzMu+ ZUGFLVtOFdwS
/FS3PdwKPNUvzM/FZUGnTcFLhdzwI1smrNzI5U6Q5bJGzdwKtFvB/A34a5Q1 ox+0/Vwl+1uw
MsJzatW4+Jm5Td0LI1zMPYhO21jUnd0gS1z/mbA4h5Td3VWvxsVPz1RVPMtH Ke2dYrzKdJOX
fBHAhzFA35MyhRGpAcMMjFnWZvWp0tVByV3De/1DjuuK3qEqsNhR6PmKlkE1 K9q1IPuvqokY
9Z3KqZs69nQahqvRCrzcEm3Y1MtHUrEXtJW6Y1Qn1vEHtZUyqjuKAg6aeTyo cTzY8Gtb3/2f
m6kcuisnvvO74lsWeAjeBts7cjTHhxw6W53B0DWxwcrImQvgT0EW4UErcmlN KsKDVk0y0Jvh
GIZgb0GrI1xdGGldEPUH/8HGqdC72Dmz8Pq7prS3KHudJX6+Jn6dASogHaxd PCRdtbM/2dpS
GioU0gXArDgKY3hf/yEby7WMt/+LSqi8Ia9Ixq/93s2tNSkMXOnwB30V3pci 3j7NQ+l4h/3d
Y1UC30H1XOhgrkF+qf5tU0WetAp2ZJxTYdw03Ej2siAmTUvWsyxuZE0eVjq2 QZG9Y0+Wsj7O
WVJ+5KNsssk9ZFRWMkaOQVdeUlAO2YVsZWqsmWedqHdjOKQKFV1SGzKqqN+q t7fhiI71skmu
pEpWRZMo132ZNr6Jqh3txX/YFtPxqRhAmPOMGyoADJDDOUwm04b011EhWLzq io754SO+Rjh4
4mXj5FhGSeFxSY1F0dTzSp10ya7jR1L8st4lzPUxZ44sNss5lddCNtxCm20L OFOONr38Rv+L
iK4qqkm30UjUGAPnAgxwup7r6QdSIYaiSmUGFU1apVxV7Iqosi+xlAvY6dKL 8tIUqF+Z3kqx
g2W81cNgpUxI1k1B3GnH60Fuxekw7MoQDkNxPmlZzrF4HmqlXjGAduooc2gw jOokK2STvuWq
ZrGbZmatfmpa9k7Y9GodU2YgIt0QwqWuSLCmFOSxTiWk7jDs4p3687ikIFW3 viamliK3+ScQ
ThV2xetrAujy6RgjnT8cxrO2DuxHmurHdd196h1/+IN08uV8i8R9sRi+yZeK xDLrbQvn1d6N
uV6KEmnNJWlBxWo4cSuXyJfTabRjZrSF84f8zYlpRmwo1onDqJ//p5rpqTlG /H0axbbpHamn
yIxBYngzP9gGUJAI+rtneqQeg9XpLGNgK5o6CK4bCZ5jkA1rQxSaVAicFLAF piO8dIpJjfhD
uK1e1ePgEoad90Y0ZNbcIjtF0RUTuuiduMghvt5F6uFI3cUyHRY9HrbH6/nh IITrvJRP5cI9
UoFImWTuAlJvKEYgKYY+E6a2CPdJLCZuG2PTWLYHpyJvL32/pHrOGNpKMJ60 NE4hNoaIp8Sh
OPbK7S47xVzIOl3sFWtsz8zxrz7tWV3KHl8xrvZTIWdbsLZxvFRcIx+tsnZS Jm+wBF9yKOcr
vS5yKrdLJIcxr8FyB9vxK+/yvrrqJxNm/+28VZ9W0pYlQT4MQiLXFc4WDtkM SO18VRK86xyE
ZJI9DlzdzQkP89lx8gniaOSYbgWlwz/XISlncKWgioxoxPlaToNuzlxmy2iF jK1mlPmiitRh
gk0Emn2SSV6WdDjX0w63tE1l2E7zhzvAqllUKvBibsCIOIFBxnt55m04V1aX 1wvrKaBDV26L
AWYIwKlSgXw7lXc9Hm+25tuWZC33My5PrX802GHbGyV1RYEmT72aYNE6cADi FojUoJlRvKrw
undmXJs1LpxN1X2Mbz/JngjlFsGRup+8G7xySR5FYQyz54MoKM/qLH5CHnZf CH8WuzGPseMF
ude7uZp5ubzaUf/3/hT3VvgVc0a2EOBDsXeM92FSR+gOdHOZ6HdfabXz2qyW pF7AmdEpFhz2
uZ6R975t7yuWRxpAaLWhNUgmsIxYD5ajrWiQLm3Ga1s2ewijXTBTAUWpCdUr HSGTUgn7Y7cF
kzEasi+qOJqcQLC/GMuQq+muJPhmp+/AXGEwL83VPGoV4aRoBNwpp0xDb0Mr /+PSTDHhTmFn
t7VRRnQ+RvevR1Wqvns0VGWCC1+77/uE+vjBF3O6v0HBN/xSBOr6Dvu3X/x4 UvTI1yq3d7iH
+HnhFERCYfOouHOliNoZVy+AbvjSVGteMRVqK+i3XX2ngHe1IPUqz3tn49NT Xke9UBb/o37C
TyP7RHnD4dBJg8Zdn9J9QzL4T9qbzm9MQ2f7p1B+VqlIQ1uK5zc2U9+5hcUP idm3iildjBlF
7u3Ae1HecA2LgFkroeidYDEXipLOoZ+Y/qsl0s0Wz7aM4A8M5oSJ9+d+F/Il SPY7hgOIRv/8
iYr17x6cQkxQqIhlj6HDFLf+Uaxo8SLGjBo3cuzo8SPIkCJHkixpUiM8FChS GCSm4lY/JgJj
NkIo8Z/LbQgZwUHRyJ8mMf8eHqI5VCLCnz0FajpEUdMNbT0b2rv5TsU2iw/F GK16K+nAggfh
CDxp9izatGrNUhtIDR81f9TmyoWbaoofVanm8vVD8V6Tifdk/w5VaViMPSZO Ey9uYnAt5MiS
J1OurHGw0380MR9UPLhsPziHPjO2hzXjspU1CX+G9/KvTMZDHf8r9rpi6rL/ UqdYLfChYRRj
LBMvbtzstH98+U5bTs3PlFSqYPG1+5c2Z3gxslY06p3w8fDix5MnaVQzHK6E Nyum6E80Zprw
bnDHjYJrYM6YXXMPrX4mYfxZBEpDu93XT37taVdfeQ06WBk+yr1VHYV35bVX c3P5dRB2hJnG
oGwhtvcgiSWaCJlsA5El4mjg2dOEb6WxZJFrE73oW2eNpJTZe42wWNtt/6R0 g5Cv3fjZUKed
uCSTILWVITVQQgmddNTJNVcqFLlmEP9Y/oASA0X2/KfZeuA1eSaaaMaEA0XE bPfecCnVRNZA
oLCZFE1AEamZIV4JiRSdYGly2jL0fSfQVdyldpqf8AAqkJdgDiVUmpWeGOGV cU2YqYWw7DVX
c36BYhgXQDG0TWgq3fCeSgq1utCMlso6q3iDTaHSdm2qpAUTWKWmklCpGsaS sDBsYyoKvKLA
iCbB9Ybsmz2l8MpCwQVH6UDNJrsQs6cKuyet4YrXFqjOlUulKstZJy677Z55 nrvxysukPxLC
RVeFeOkVZV/z+vuvcSkCPDDBlj3JHMIaRjedpusW/DDEIiGkUmYRW3xxSG3V pSm+dun7ab8Y
izwyySWbXFH/cuZCqXCVFZ78MswxyzxrhHPdO6HN1Fi475Qz+/wz0EETd3C5 RT+3sJV8ZSk0
0007/fRGmPK1Mad4eYrwhlBrvTXXMJPLr8pHS6euzl2bfTbaBdebM74574xh yGnLPTfdlRIN
Nt7oJm0Xq8EVOFKPdZsdeHd0Cn64RxpvOvWEbzu34TKSAtWbSKZWjPjToVWc qm6Ye25Rys6t
LDbDblMUeX8jhgTv50Br0jlQTnHWOu0143y7xxfmfbqxFIXGxUgC0z6z5hYF juTwn98tZV9I
c1z2bvRpeVO2uFYEre+EEaNq8icLq4JUPKmkwit0egls93RL3fHznYIc6ul+ cwcU//BAGUt/
tsZyFspE6Z+MGataJJDP+GMTBhGe/7r2tdGda2FkWxrqKPIOFCxGSQg5xIf+ IpqY8KRzCRzZ
ofSjGOAYZjgfHJy9GOe2j+1uN73LFlZs07/3iEGG7klPYih2wpKxCEmtydUO 0ba8hJFub9Ar
VH2IwZKHlOU9GPTJDYsik2X8LYgXC2GgVqQkKyrQLXDJ1MYctxzIScpARAIK oe43qKwsQ3/t
IVD/uAgxEQowR0DJlZjkCLXQLWd0equQsIIDrvOhoIyEBNNgIDLBU+nxYdoa HyweuRKY9AQF
4Gok02x3s03qjIU9wyQoQ3myIRrtj5wSJSpTabH1Nax9Vv9733NUKctZ+muB 5uIXuh5Iy13y
klZru12mcsezuPWymMY0ESnz5rwwHrOZziyP4r7IOGGCTEPPvCY2LcNHIrKs dI3LJjjDmRZN
UmiFuvukONOpTif9g3mlXKbS1inPeWaElVRT2iuxRs990tOWYculy/gp0HT+ 8mbB7OQ5iTnQ
fyXGEM2inIFUwiYh+e0W/rAD+mozvjgulETJnBI8HdbReaVkJS15SVckEhqB IPEfm5jIZqqQ
lWYwaKQNiubzwsjCMdr0X7ODF29qgh0nbKOkh1lTT020TaN1kzqmS6q8zuMf A+HHokER0nbs
UcbuLOSSUB0POdnWOE8q9KvhSlH/j2o0G4GU9DVqxciOzEqejzavZaeUK7uQ ipOs3sRRMJFD
TaGSFXiM5jHEMCFej2PPxWEpn+dKrLhshausIEtZ4juMiiTaGc1C9jj+FB3p dNnZWbFOI/5Q
RXeIOtoSFVSFY02oNVdrKQSi5oXFwJZsb9pOIoLUrt/MLZomRsGOEHK4wHUQ TsH42n3x9LjO
9dxS8dbUgD63unULK+4QOszYWre7aaPrdO/q3fF2bbHSbKwfrvZY8rJXa5/t Y2ip2975Cq21
bVsu3LhL3/36DLxFbOXS+Hum1wnYYF7MKX4fV+AmFW/Bk4muH533VAcXh5B7 WiQKcPC9Y2mL
UiQ81SGz/8eTFEjBW3DYYnuxy0nHoZPClcHfjpBUFYe0p4C/UUzg2sjh+mkC BtIYH2XtUJZQ
PIa+/jVlPF1smQxiZIIN6Yq1RjPUWzA5PmbS6kDyUFP2mteV6YVl1pQ8mQVd JDVcAAyNnUJm
i9hBKPYwFhVnmJ7ZZQuDl5vve7HmQPmKOTJ+qoha0dwVFBeGkUz03QbN5EI8 bJm99n0eNVvY
Z8no6S+AmPFulljjHmfFHqUCrPHW6MJtCO89E+XvkUMKvUlTupJgIqQWltIs rHwrs5jFnrAu
B48i7ze509RuNWPJ6jP54w8VsYcTOMoRf2i5wBB+nIR/O2wmtVRIuO3IMjxI X/8V5wu2wp72
ki5KKpCk5tQCTrVvsQTudbOry1X7sj7ZLW9Z5bmBY+PzvPMd7hTeN9It1jfA S4RuhjEz4Ab3
6IGVG+nmHrzh5Hn2GKMtUodTvDjcNud2nyNuQYKEcB35TIM94vHRhlxF2q64 RQaeNHUXySAp
2epGVuoR4Cjl5Bhhlc3l6nGcozxqbmHfu9WLyzDFChQQVQvyQpJ0vMYu1ANU dM9TLiEG4nLP
T3XUYyaY85LQGSRd17nhEC071UXdePyGNLBbiGmNOgVZwEtMIU4sFUhhtJD1 GZVhGlE8ZO3p
VxnOEWT7poJaJKSSKpgGYTZ+bYqrHMBaKhBCXi0WhPj/Acg8b8pTpAcKzS9r KUBxMwVT+pWw
45UmnAMLWF5Kpq0D3NfsE2PIPoxHayFmRK25DWlok6PSEDp+vVm6XOnoQ5kY NaMoh3hdvbku
rF9kzdkry36U5B8BdUaKOpKeRVJT1a+bNYTtwQyWy16Riyf4k2s/NopT1Brj phWipBlhrB5v
IxgB36w9ZA3xg1T2xt91SxeJVJiMyVgwBaHQx3ucBp7IRKXxSaM8Smdh0QDR iWAJyZ05nLvh
E7w9Vt1Z0kV8S9/onbT8hLYAUd9YC7FUkhrtSrWoRuBJUgpEkrMoBWf1XL1V 3b1NmPjl4Fk8
2kGxWFnpIBCKBP9JWxAWYcYk/9yvwZ5+GSETcgTyTRcONqEUYgT5+dsPTuEU DiHLYSEXUsQF
opfQwU8XdmENhorVEWEQjhxkSBIHfsT2cBbe6V9n8WC3ZVyYBWHJRYajsBUK vNDHMQFugcLi
ddYQTtwYpsWfKRGvccSf3QMgOJfrAdhOXeEhnsQexg/rXY8mvJoBOdcT/lcU AmHgLNJptNWP
URBwtF2HaQmQHUX/pEbb4Z1QDEbcWdAIXZu2mJDfEQlC1GKjqVMVpt2/6WAA 3QMVzNRXHOM/
NMNX4N9PbMKNjYYyMuOf3Nj9QONQMEHlMYSygcILqJZ73AGXxIaCpMA2ymE/ 7ZbR9BbBJZkR
bgYcnP/aYIAL6q1IlM2jVgSHpHyYcIBFBzIBYlHUtdgHUpAdP30hQoXhtxWh CP1dNv7d8OkI
EB3bQkzUJdLIRAJeB4qGVmQkVb1ILJTWPpVhfIWiDsLLoYWJT9ARk13Eof0Z +jEI943cW4XJ
aSDI6FUgPdEhxuXXQgYhY9xDZhDDmQ1lqaSHgYhg73iaULYJ8FykJi7lmUEd elzOReUKPIjB
JRbD71FlOrqTMvmWIeZgqqRAKlQSL1bLRL1hrNEaWm7W3z2SV/UNDnxg9hnG JdHlU6hgcGRi
OEWiTukOw1ViE37iH5kkYQJhMPrgEiZmEGrhqjlmESKk+8SbZBYhSQIUYl7/ ZtTxZPlRImei
XCFGZmiKH2Am2GCWZtkZpsSRpmr23GKSlYZsnHEBBwzM3UXUn0cY1W36wS++ Jl5B5tIQCK9h
mRPlo3GFhCJmT+8BZ2JRpmMNnUZSRDHknG5uBCwaD6ilRdM1nXM6U2ae4brc 0fWMwm9e0OrA
Acz9Qzwo20kEjhp+Zy95phVy10U64g2VBd6pBN1lFLL0zmAMYvxwVjFslEZx Y/WgwFFaCzcq
nnzS0mgG2D9owkQZA2X1hFO4SVZsj1OoXp4IYp2ASUoIqOjdg0wto078wUwd SydaGYCUhYd6
5YNi0mkuHDElSj884vMBBmgQn7VwQZWN0H10xASx/8RgyCMTnBo/igEdCeS4 zWgqsWbL4OD0
FdkFJYoGYRDMxVkUhYZX3WVVkUkbxgQHzgeDHMpQrCeUolJsetsdcqUW1Edr uF/+cVRKFo/R
eVB1qtWNAFpy7khLZuNiKAg6rmkoCec/dg4AnZhgtMcmdtoYeEkpllGzVAwo LIZVIIVhjcE9
PMalkuekoOmE4lFAGmojQWcGSqdFGEMclWUslCDF6GWCZmSB5p17aIuyuApE qiWicY+pqIAt
zJpFVZK5mWojhecNoqGxzht9CiNoLuuwRSi0tp4fpEK1Xqu1Zmu1TmJjTiu4 TQG4hqu4jmtr
Sqi3rlvN/EO6rqty/IObnv9rvpFLu8orvaaba8Irq2FKu9aLvmqMuyrkHeJr tM4rwdZruuCb
wPbZ2qjrvrZrur5rwoIbvRbsvIqlzsAqRESsg/lrvw4Ew9aLYIZM5Nzq0Wks qlHsxOqM8h0R
EMWETposebFrW8isu9oh7/QHHAAPzJ5syhasvUIQ9vnVrVoPmfDE4TGBL4bY r0oFRDyE9ORi
0Z7Yb+6sLHUsv3qsv6aqGPodI2ULj/kYkLXVRHxetrwJ5nknq/6DOHbGOU4t 1c5Sz6Zssq5L
BP3DBFUQd1zQeaBnkuRte0QQhQ6EsRXfgcjo29LSwqZr4rYrxOrYrcbQbdCQ +oGHDanILDoG
PDD/QhzEgjEckB8K6uGCJ8r6bDvSLfbhxBJBkYpYH2xkxp0aDjHgAKsSww2Y Z5JwlEiGLoR6
rNV+bM0GGxnZxxmJmo7NDvKgERuVUUo8JfvZAVYyqUHq7i7FLek6VeMEEl5e D96BSa7Z5axq
J2Vtp61pWCW9rPSyqcOm78wyrs2eb4FRr8Gu3L26b8xiLe/aL8gCLP2e2+ga rGjt73wtrr+u
b1tALADjWf9WbOnO7wFXF8fir++GbLc2sHXBrwJb71hS8HPRLM0asAZ7lwWT y89+8Hj1bu9q
bSxtIPfk4H6ab25WC2L1jUdOWwgrx9xCD/O9nPhdKk6oLkhwTvb5pYsJ/7D9 Pmz7rl2eRl0e
LhvmDYQfiNrpuPCk1bDKGtHS+B9FCbG85a5pGU6ODkYZZVu83u/CXi3IMlfs UU92IoubIa3U
/spr/OeFdsuXepffTQt8MIHR3gIpMm2DDm4bLkNm+B2bVAUMrkqzgEvdCSgk JrAIr+wVzwgY
D0SLaqOBmuiKeolQRAqrSAQWt5fp9UTbakYVUER7SpWOat9uvOhRUMskpYQn F0iMavFzqi/D
EvDvql1wLCXtTa6SKklQsobutdf9lUVigAtaGRtF5Kkg32VXPt0AYe6PkhcV j3DLNd/prh5X
cSCXrm6TzhcEVkQisQkqX8+JnUJZaB9ONin4qf9pd5kwBKPwhpyfTYKIQQKq 6moOknCxdQkf
1DFRMltEIqmZkTiGUexznRqZI9vwwV5d/N3qPgpgpy5zpBLIYCESR/ItKJfJ amRGP6xCm0i0
zh4bFDVgTo6F7HDkBBLWeBExEbspbXqVB1bS03GWHJclIcAKLXcWCdlAJRnG oPrqrPGBSpRs
M1fWCqKAH1TLUquGrI5XNS+wuZJwI5txw+qrBP8kVTdyCE+psm51bnGSWN2L bGo1WMtWW3gE
km3hWQMXqupvWx8Xsjb0V8d14J1dD5Z1wNo1ZEkrE8YnRwgXtgiLOw+sXDAo CqDms6JcAJFE
Y1fEO0jxpPGRtUScV2f/sPjx80UQmGb8waDEkRjrGzkZRh365F7nIG1lRIMV GxgrimT32fIk
dli2I1vjYYAYxkTBMeFZ3iM+RG6nM24XCQzWZbNMFCExsnO9NZg1IWbImETY w4la6OwUmwQN
aTNnRwrktGo8RG94RQEdUPQ68NTdkhne8FSfpJnAckgmKVeBho6i7i2Etu81 49jJjmPwY6la
V7MyplmjdnsU6Jl1CAcGNKKpwCkM8n0ciTPmiPO1l1+/Y/5lxT3IQZERxXn4 w3uPRUnfZH5k
UQT6SHOCMLaOuLYqYX+LH/jdxDIskadCr0dvQfMN1yWuOI5EJKjmEXmRq46H 62XrTHaN9XP8
/7iQi/WQl1ORAzmSH7mSEzmTG3mTJ/mTL7mTTzmUU7mUVzmWX7mWRzmXW3mX Z/mXb7mXjzmY
k7mYZ7kfUPGXT0GYu2lad8RdvDlfN9JdtFO7poydP0m7qvUUrCNvVXH7kIvC cYwfpLlyDDqi
/1qiA52iNzqjP3orLXqkO/qkQ/o9WTpjVbqmX/qmZzqnf7qnh/p5dfqog3qp izqCnbqqpzqr
S7qptzqlv7qro/qsr3qtw7qlF7qa/5ym34WtM448f410MUecS8iwMxU3JTuy L/uxNzvVPTt5
R3vYTDtoUTt8WbuyO7u0Vzu3X3u3Zzu0Yzuzh/u3j/u2ezu6g/u5q/+7uGt7 u5N7upv7u0t7
nev5xOJ5eMY73pi3sBtUdei6sfu7WB1Uv7mWwAOTkRM82hU8wy+8wys8xCe8 xA/8xCM8xV+8
xWf8wW+8wXd8w0c8xnP8x1e8yD88yXu8yYc8yoO8xq/8yY+8ysM8zgB8CO/3 FLD8zbi5cjBP
YmdIseMNWAb9n/s50QP90Bt90Qt90h+90iO90zc91DO91C891T/91Ft91Ud9 1l+91mO913c9
2HO92G892QN9neM52t/5nfOFbCvT1lvsXhz6pqhEw9C8rMc6reP9r2P63pM6 rvv9rQe+3v/9
3fM94ee94Qt+4g++4gM+4z/+4ke+40t+4Uf/Os07Mk7RvSQuflYbunOQNj4J u77DO7uXu7ub
PunLO+qvu+qPPuufvuvPu+yv/uzHPu3fvu3nfunrfuvvvu/3/rLXO8Hiu9ov B+g3T+oDutv0
e3D8u+eXOfSfufSHOfWbefVH//VPv/VvP/Zzv/Z3P/h/v/hnP/l7/5NfPvyO Nuh7TJvbIblA
CWn7fJ/v/Nh/ff2Hfdnjv/3n//33P///P0BQm0aN4MCCBAUiNJjwYEOGDxdG VDjRocSKFCFi
tJjxYkeOHzeG1DjSo8iSJEGmmvJv2j9qLF3CfNlyJkIUNx/6mXLyYCpVsKj5 Q5jqZVCE/nAK
pebHT1GlRvEZJSg0/+pTqlKhYr1qlVrVo121guXqdarYr2Szjg2LduvZtW/V xnUrtyxbs3Xh
ztWLl27avX75/m0bmDBgw4MP301sl3HewoghK47cuK8/pkVjYtaM79/Tm2hV Uv7qBxbRg01d
OkShUGVRhwgfwl4oGzZG2rVj29b9endu3r99B5/dezjw4sJxI8d9nHny5sud R4c+vfbz6tKv
U7+dnft278SxfzceHrx2iipj0swsM3PC1bR1in/oE3ZUoqnBliWI7zL+qPrz w+o/Ab/ar8AA
nxowwQMVRKhBAwF8EEEHGawwQgsJvFDDDDlccEMPO6TwQxFDhLDECU0EUUUS V0yRxRddjNIR
xRklrBHDFmm8EcYcl0JNs/WcSs1GlXAc0A9ViFrIR5Nac8kkkFB6UsooqeQJ SiunxLLKK7nM
ssstvQwTzDG1LPNLM8VEk8wz2ZwGPfXgTC89lOL70iegriIqFT/27JPPP/ds ys9BAS2U0EMN
TRTRRRVtlNFHHY0U0kklrZTSSy3NFNNNNe2U0089DRXUUUUtlVAfgQRyqUl3 WsyoI01DSKcp
aK3V1ltxzVXXXXnt1ddfgQ1W2GGJLdbYY5FNVtllmW3W2Weh1TVV9TAT1jrY AgIAOw==
--------------030202010700080702050005--
|
|
|
|
| Re: [Ecore ODA Driver] Reporting against the ECORE as opposed to instance of ecore [message #591696 is a reply to message #46162] |
Wed, 02 July 2008 23:51 |
Tim Myer
Messages: 81
Registered: July 2009 |
Member |
|
|
This is a multi-part message in MIME format.
--------------030202010700080702050005
Content-Type: text/plain; charset=ISO-8859-15; format=flowed
Content-Transfer-Encoding: 7bit
Hi Dmitri,
Thank you for contributing this use case! We have checked code into CVS
that will allow you to create such a report. These are the steps you
would take:
1. Create a DataSource that points to the extlibrary.ecore file.
2. Create a DataSet for this DataSource: select EClass from the
dropdown; your query should read something like
"self.oclIsKinfOf(EClass)", and on the Column Selection page, you should
now be able to select "ENamedElement::name" and "EClass::eAttributes::name".
3. Create a report with this DataSet and you should see the results you
seek below (you might have to re-arrange columns and setup some
formatting, but you get the picture). I have included a sample report
output for what I am seeing.
The problem you noticed is that the EReference features that were
displayed did not include the features from superclasses.
Let me know if this update to the code gets you where you need to be.
Thanks.
-----Tim-----
Dmitri wrote:
> Let's say we have:
> extlibrary.ecore
> my.extlibrary
>
> It looks like creating all sorts of reports against my.extlibrary works
> great.
>
> My question is, can I create a report against extlibrary.ecore?
> Let's say I wanted to show a table that looks like this:
> class, attribute
> -------------------
> Book, title
> Book, pages
> Library, name
> etc
>
> I'm having trouble creating such a report. The wizard doesn't seem to
> be aware of the hierarchy in the ecore:
> that eClassifiers of type EClass have eStructuralFeatures EAttribute.
>
> Let's say I want to select class names, and attribute names.
> Both EClass and EAttribute derive from ENamedElement,
> and I do see a root element in the wizard ENamedElement.
> However I cannot seem to be able locate ENamedElement::name
> in EClass's hierarchy or EAttribute's hierarcy, and no way
> to qualify ENamedElement to create such a report.
>
> Is it possible?
> Thank you!
>
--------------030202010700080702050005
Content-Type: image/gif;
name="sample_report.GIF"
Content-Transfer-Encoding: base64
Content-Disposition: inline;
filename="sample_report.GIF"
R0lGODlhEgL+AfcAAAAAAIAAAACAAICAAAAAgIAAgACAgICAgMDAwP8AAAD/ AP//AAAA//8A
/wD//////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMwAAZgAAmQAAzAAA/wAz AAAzMwAzZgAz
mQAzzAAz/wBmAABmMwBmZgBmmQBmzABm/wCZAACZMwCZZgCZmQCZzACZ/wDM AADMMwDMZgDM
mQDMzADM/wD/AAD/MwD/ZgD/mQD/zAD//zMAADMAMzMAZjMAmTMAzDMA/zMz ADMzMzMzZjMz
mTMzzDMz/zNmADNmMzNmZjNmmTNmzDNm/zOZADOZMzOZZjOZmTOZzDOZ/zPM ADPMMzPMZjPM
mTPMzDPM/zP/ADP/MzP/ZjP/mTP/zDP//2YAAGYAM2YAZmYAmWYAzGYA/2Yz AGYzM2YzZmYz
mWYzzGYz/2ZmAGZmM2ZmZmZmmWZmzGZm/2aZAGaZM2aZZmaZmWaZzGaZ/2bM AGbMM2bMZmbM
mWbMzGbM/2b/AGb/M2b/Zmb/mWb/zGb//5kAAJkAM5kAZpkAmZkAzJkA/5kz AJkzM5kzZpkz
mZkzzJkz/5lmAJlmM5lmZplmmZlmzJlm/5mZAJmZM5mZZpmZmZmZzJmZ/5nM AJnMM5nMZpnM
mZnMzJnM/5n/AJn/M5n/Zpn/mZn/zJn//8wAAMwAM8wAZswAmcwAzMwA/8wz AMwzM8wzZswz
mcwzzMwz/8xmAMxmM8xmZsxmmcxmzMxm/8yZAMyZM8yZZsyZmcyZzMyZ/8zM AMzMM8zMZszM
mczMzMzM/8z/AMz/M8z/Zsz/mcz/zMz///8AAP8AM/8AZv8Amf8AzP8A//8z AP8zM/8zZv8z
mf8zzP8z//9mAP9mM/9mZv9mmf9mzP9m//+ZAP+ZM/+ZZv+Zmf+ZzP+Z///M AP/MM//MZv/M
mf/MzP/M////AP//M///Zv//mf//zP///yH5BAEAABAALAAAAAASAv4BAAj/ AP1Ro+bnn0Fq
/6olXIhQocN/DRcqjPiQIkOJFx9OxLhRI0SOHz1a7IhxZMiSIE2qXGjwXyo/ qabhoyZwoMCZ
NWlSwzlQJ0+bO3UC/elTaNGcN40mRRqUKdGlPaEOVdo0atWpTqk+vXrU6tav WsNmHetVbFmy
WM+qTcu2a1upbuPCncs1Z0GE1Krh3YZXL0S+EP1SA5x3b1/DgREX/nuYcWLH iwc3lvyYcmTC
gjErzjxZM2TOH6m97Dmtp+nSpgeiTr36dGrVr6m1Jh17NuzXtmXX3o2bN2vf rnsL/z08OPHj
xpPTLr4ceXPlt51Hh66b+fTn2K9rrz7wLkRmp5ad/wIvnhne0OjPq0/Pfr37 9vDfy49Pf779
+vj9DJwJdL9V//0FFSB/RhGYk4E9IQhggf8JyOCADSro4IERVgjhhQ9mSCGG G2qYoIUeLtjh
iB9yWGKIE55IoogqtsjiiykumEoqhVUTSks4MrNMjTzq5WOPQP4oZJBEDmlk kUgeqWSSTC55
5D8w0bjalM1RGZ2V3GGpZZVcXtllll9u6eWYYJIpZplonqlmmGya2Waab67p 5pxw0qnlFHjm
mWcq1RDGDI4t3cOMeYQVqpihkCFqmaKMHupooo8uGmmjkFYqqWPVzIiWXHV1 CtamdH26Fqei
vuWpWaaWSiqqq4J6qquqhv/KqqywzvrqqEtNAWhLdw1k4z94NoHnP9JMo2NP evmK7LLKNluY
s8k+K2201DI7rbXVQovtttp2e+1AeT4b7rUzckddbugCl52566ZrHbvbuSsd vPTKe6668eJb
r772tsvvv+/2m691uu7qEo9/GmxQKE426XDDED/sMAoSR+xjwfpVgzGRMxLo 8YkfLxiygyOX
DPLJIqNMssomp+zyyi+3DPPMMtfM8s0x40yzzjbn7PPOP4c8hR9DF020H9XA Qo0q1NwIww0x
3EAN1FKfojTTV1OT9dZLa90111h/LXbYZHsdNsVge4322Ga3TXHZb7e9NQpl pw12wcDiPQXb
Sov/JmWcgNsZeJ2Ey1n44IYnjvjigjd+uOOKQ87447rR+CMq2xic+SkWV+z5 kBQriULoEwNJ
euedFwToFA1riuutqdoaK+ytvj777bLnXuvutuveO++xA1978L9bhXTYN0Yd dTVUV4MK3KOj
cHX0TL8tPTVrn4390tRjH/30o1e/ffRydx131hSn/7331pMPy/qqUH999HTT Xz7ZeAPLt9h+
7xswwPMSmP8CCMB7/e+ABESgARPIwAU60F8KhGADJWi5gagCc//IXOYUkjmG WTBp0tNL/ZT2
Puypohpoo9jSkqa10XGPhOk74ftK+MLRiVCGWkuWDEP4wfeh4IYgpGH8/2Bo wiCq8ITpS9YP
0YbCFZJQhxrDkR9wCAsoPtFvEsoiiFYUoy5q0UQw+iKKxMhFMrrIi1s8oxnD mEY2ghGNb1wj
HMfYxjl2SD9MY1of+MIXH+CAj03Lo/kGSb/0jW97ghRf9ewXN0OKr5FdS+Qg JQnJR05yfIyk
G/fil8f6dVKSgsyfQaYAykh+rVyRo1wqVzk5VkrulapspSxh6cpY0nKWcKKR E1HBwX/g4Afb
AAMY/hEKJ76whmST3gjpxkKsMfN9yZweNEE4xGOSrZnXw2E1t6nMHTpzm2Zz oSObuLYfgi2K
o1QdlK55Tr8Jj1bFI548h0dPeM7TnvWkHT73qf/PfuLunf70HfHwCAs9biMX 5KCGH7fxBTBQ
43kFXVoJVVFC6VWvoHTDKEXzGFGLYq+jE60oSN8WUo5ylKScDClJ0wfSi65U opz0pEY1yUmY
wrRge1MFTiO6UZv2VBWoLKAEHziwCRaVqANEqgCXKtSjDvWpTo1qUqE6Vamm ImsXrAY5crEN
H/iAGsLcRh9MWdOakk+RiCQrTdnHvbOytazeK6VbrdfJuWqSfots313bKs5L SrJokTxaKUuJ
RZ4ZNmiHBZpie7bYxDL2sY6NLGIn21jKQtayklWsflIBVFXssTCA5AtMOsvZ 0pL2tKZNLWpX
y1m6qfa1rI0tbF0r29r/wjYVKLitbXcLW6D+7ZbAtaVwa0lcXBY3uMcdrnGX e0sa8RQVfUCF
H6BL3ej6gafYNalPs1tIj/5Uo9ndrkm7G97vplS75hWvT6lX3vai173qhcVo 4pnPf9KXn/a9
Z0ABmt/6CtS//P0vfgXcqc2q4sCcpWiCO6vgAzNYvg5OMIQRfOAJP3jBEsZw hTXcYAp3+MIR
3nCIP5zhEVu4xB4+sYhTzGEVk7jCFNUPUyMo1Rkbtao4trFSm5pjHuuYqj+u sY99w1mYFjS7
RzZpko1s3iVv1MlJRnKTpyzlKiuZyle2MpO1/GQsbznLgoxSHOsoxzKT+cxj TjMd1VxGNK/5
/81tZrMa3RxnOM8ZQ9fVrZ55y+c9+7nPgP6zoANNaNUCVczJTTRzlYvcRSu6 0ZBmtKQfDSbO
wje9mL60pt/LafVmutOf9vSmRQ3qUYf60DHp74ADzOr77tfVqn61fmNNawLX utV5HjGDd81h
Xuu618D+tbA97GtiB9vYwy62so+97GQz+9gviTZMpi3talP72tbONra3re1u c/vb3g43uMct
7nKT+9zmTje6163udrP73e6Ot6W7HGV627ve+L63vvPN7337u98A/7fAA07w gRu84Ag/uMIT
zvCFO7zhEH+4xCNO8YlbvOINn+KgN17ojnP84x4POchHLvKSk/zkJv9POcpX rvKWs/zlKVda
q2dt65rPHMCwtnnOb77qnfuc5jyXNc6B/vOhG52feQbykGncY6YHuek3frrU lx51qu/Y6VZX
Ota3XnWuX52BRb6znd04djuKvc5oP7vayZ52tq/d7G6PO9znbmY5y73uZcd7 2+lO57fr/UQa
n7SjBx9pShue8IIvPOIPr/jGJ/7xjFeupY8u9J4T/fKUv3XRLZ95nWOe86Cv vOg1//nRe752
gfe61rvO+q+7fvWvF7LqZd962Nue9rGHeu6nPnvdr2vymA1+ZYd/WeJntvjI P77yhZ985i/f
+M6PPvSn33zqP7/6BAp85Le/+O47nvvf9z7/5MUP/vGH//ySp6hWusv+9rv/ /fCPv/znT//6
w7/zQSc9/jdv+vyfPvT6B4D/13+vk3TTgQIKk4AKuIAM2IAO+IAQGIE4MgUq VHu4d3u+d4Ea
mIEcyHsW2IFZt4Ee+HVhJyIIyHd2h4J513d3ZxWpQIEsqIJ793ctmII0KIN+ F4M3uIM62IM2
6IMr2B1AVSYniH7ld4TNQTQUg4RGSH5O2IRQaH5SyIRTKBrqJxUnGIAEWHpa SBQvSDH+F4b8
14UDSIZiyIVlmIZnuH+pxxpFiIEjCIchuC9KKIe9F4ciOId4CIJ3qId+2IeA eGPARzJZCDIq
hH3Xl4jS9zFfqIjW/7eIjoiIkDiJj1iJkmiJkZiJ0qd9y/GGpcFIrGQ/jIYC VCKKiraEg1OH
VLiKT1iFUciKr9iKrDh5TvGG/oACP4ECPQeG28NfumgVvMiLmieMudOIAriG xziGaqiMyLiF
+4eGzaiFBmguJ4gaFSgboshW27ON11iB3uhC7PONS2hI0bMa3jgQ5HNI7POJ 4kSK6AiO6ViO
6piO3QGDgbh7f/iBe7iP+YiP92iH+piPJTghhfiOFIMPKnSL2MMfuqhCDpkT 57iQ6KiQO5E+
NYGLLkSRBBKROqE+AWJIFAmS6riNmCQQB+mC9hiEKjmDQMiSP/iSK5mDMOmS MVmDNYmDNv/J
ibfhiaSRPtY4DSoElNgjlKQYlOGoGoU0lOgolNiolE6pG6bISNUhlUqpPuSD ikn5jdGhirLY
lbH4la4YlrAoll5ZOVd4FYWIFBh5kbeIExa5lgnZiwmJi0LxiwhJkW35i9gD FcR4jsHYkdxo
kiQpmIQZFBVoknopGjAYjcsIjcz4mI4Zmc84mckomT3Xhqfxhju5jUTZE+54 jubomejomUw5
PtbImdc4mqaBlSTpl015SJ/YmqKJiqKpG3WYh/+ImwGZm3y4m77pj78JkMBp GoPoMQVpPwi5
Hw7pQjNxkiepmhVpkBVJj+STnIZJl9DJkFeZIFJpnct5iMwZPc3/eZ0VOBON SImXmJ6aiIno
uZ7q2Z7wyZ7yWXw6OZUQ8ZXuCJaUxpX6WZZj+Z/+GaD92Z+06BW26IyhkpiV SZmnYowI+qBm
CJkMGqGWCaGNOaEXKhDT2BrV2I/C+aEXeJvBqZvDCaK9WaIkaqL8yJsrCnZM oyIFeZM8OJMy
aWfnKaMtWaM0uaM62qM2yaM/6qM4OaQziqNC+Fv2KaBkiX78uaROCqAD+qRK CqVSKjgFmotQ
Em/wtqVa2qVcCm6LKaELOqYWyphmKqZliqYUinOY2ZN68qZwGqdyOqd0Wqd2 eqd4mqd6WoEt
iqInqqIemqKC+qeD2qeA+hrFyZ32t6iM/9qojvqo8+eekhqf7zmfk2qplHqp lbqpKlOfVPqp
UxqqUQqqoyqqVXqqa1KgFbqmZMqqabqqGfqqGHqmsEqrs8p/GxqohLqrhlqo utqrvPqrwsqi
wzqiwToQA1mkQEqkORqkzsqsNPqsyiqk0yqtzQqtRpqty4p3nmqqpIqq3hqu pTqu4Equs3iW
rpqusaquttqq6/qu7Sqr7hqvEdqmvkqs+GqswLqvxeqn/Jqv/tqvh5oaiZqp BoupCMupB6uw
CaupDruwD9uwELsg3Wqu4lquGPutGnuxG2uxzXWWtaqm8Cqy9DqyIXuyt4qy 80qyaJqrADuw
Afuy96qvAjuzMf9LszJ7rDhrhaZRrdi6rdfqs0IbtEQbrT9LrUWrrUhrtEML kxWbsRwbtR4L
tVPbsVR7tYpzpSabsly7siorr2DLriz7tWJLtr5jrzp7s2oLs2xrs22btm/7 rzu7toOaqBJ4
t3ibt3q7t3zbt377t4AbuII7uIRbuIZ7uIibgPX5pV7auIz7uI4buZA7uZJb uZR7uZabuZi7
uZrbuZwbJSArGok7uqRbuqZ7uqibuqq7uqyLurEyNPJFG+rUurRbu7Z7u7ib u7q7u4aLEAxI
NMkqurw7vMRbvMZ7vMibvHjrD/epRS+4uMobvdI7vdRbvdYbuAhxJsCLrsJ7 vd77veD/G77i
u7sIISvPO4SmMbvju77s277u+74SOA33qRzb2zdBkQqn6w+awH448A/EED2H YBD9AAejcwOD
ew8EHAPaAAr8+w/vMDoBDL8SnID7210G3BL9wASjowK3cA+x8MAoEMH5CweN sLyakAK3sAwQ
PMF9iw/Ni46MODRDuBrqS7r2gAIpUML+e8H3oMEooMP/wAxALLjwgAIwkDk3 nMMGQQwGPMA/
PLr9oAosjLtFnAKxYBCg0L9LjAIc/A8DbMVOPMSlW8QXjCP+AAgYLMW74g92 kMNsjAJc4IBn
PMUGk72e6UI0PAWq2r2mm8S3IMBo/A/34AcajMIGwQx/TLg3/3wDmVPFiTzH /kDAIny4xCAG
dGy7SXzF/+APf2AQD6wCmrzJmxALkRzCqOsPDNzFOEIMY9ASlbyAqIwCrdyA rHzJgOLCF0k/
OfG8sQsbNTy6mTzHgWIIN8zFmcMMoUzEKBADSIzDjeAPauzFBCzGhPvAlmzL rVvFsRDFLVHK
ZWwQ8LDN04y6g6zBQ6zCcezAKHDNCai/cNyA6IzNLYEX4Ug+pbG9PcvHY4zD KTzJ9xDARbzM
QZzIKrzBzYwCYUDAOIDAstwSIKwCmfMPAe0Hy9zI/LwMs7zJkgzOBv0PxZzQ KLDQGizCAQ3R
Hj06IB3AIIzDsfC/WszABhzQhUDA1/+80l0s0wR8Axm8zi1R0KqMzTcMyu/A zgyd0Wa80QVt
zAaR1Be80i+NAhfs0i1R0hF9yLfAwDHQ09GTAn2w1agwOowABypwCqPzzPtL yDwd0IawvxCd
1IZM1UsdPVEd0lgM1RKN0jTN0Rv8xwEN0jqtwezs04lMuMzLRueLpL+cuMU8 OulsEPcQyP8L
1ULs0UxwxDC9yWztChocA8xgxJmjwiVMDEdsD0wA0Qx8xCcdPY0dxv8A2v57 xO6sApq9zJ2N
2q4t2tsQ219t0v97zZftv3T9xiogDVzcwUzAzFIt3NOgwTBA3Mz8D8VgyqDw 3Ngc0KPDzsXc
2DgSxqRt2Xb/TdoBbA9VsA09XML3QAWZI9X/8Nu3jdpejMZJDMQMnM69rdFc LA0qoA2S/MYw
oA12EMJvzAVB/cfzHdehPdpMEN7jvd52Ddz9K9zEzcE9jNzB/d8qsNxG7NyZ E90BPN1VLbh2
TCb1WxT4i7p+jNE48s8GEcsoQAWD7cl0/Q/7KwaRDMpBndti/dk//MD9m8GM fNcovAwiXMqH
UON/rMIBPOORbMUDbuStbcozPuDAzc4KE8tjUMQmrdUPzsBj8MW3gOXbMMAm XcTUzMKZDA/Y
vcJrvNFTHdxsLs1PzIBOjuQGYQ8BTOSu3NBTjtmmDOfPzOUObuVgDtytPOcA /uYK/+jOh3Dj
OKLCBqzoS34LN17jmfPAZe635dugMqxLPZHYiBvMgezYhoDBBGzF3VzBj76/ XQ4HVgzmpF1I
YxDdBkzaWX3SbhzNYdzDhUTjM/7FsQDmuk4/vL7Og17fib6/Al7cK/7fwY3s S94IAx7sqi3P
2twPq9DNOW0wrM3nDf7Gce7OfZ6A0n7ddU0/1F3ge/4P/x3BRO7OcQzT7i7l BT7uPK3uZc2A
/y0GUs7tWpzvSx4L0e7D0UPlgSu/zDHi/lHip+vIgXLFKh4orJ7IoNDqMa7k rA7wxf3vOFLE
zJzBz83wjk3K+y3WySzj61zjGM/BKA8oUa7sDEzwa7y/h/9Q7EFu14ru5WDu 5fKMI0EdyvHw
x//70//w83gOCkId4wIc8dhu6u1M8oBi7S2RyVscwS+/yQysw2Gs6MBd5DJf 7Ka88rui8+3M
5TSfwjbP5ThvzGJ/uPiAbpvOHZ5+uPHt2E6QOY8NKPCgxFju3zbf6xfv9c9d DNBe2tsQ3SY9
94Jc96z9v4Fv1uvs64C/4Y4vBl4vBp0s63H94P+d7Bwc1Lawv5oPx88u757d 2pNMx9pc507w
x+5M3cQQx2G89/896wtuD03QCOdt901wxSqsxZgP3I3vD5sAxK2fOQy8BVLc 23+A5/Zd5JvP
xiq/+Srcxcef/BUN3dBe+7cP3Q3/3vubvPkD7vmg//2iz+rQ7vKlL+SFq6d7 rPCky+KFxMiR
neVW7cWF/NU/XMwqwAejAwPMfs0AQQzFwEP//i0bqIUJCjGaBj4cGGMbvIgG BQ4c88/eQBV8
BsLwyNDiw4wbUaQIKUbjyVv/3qHAYRBhTIonpWC8B+ckqoGNanb8aAfjyIEq DR5FmlTpUqZN
nT6FGtWgQ4gVj9bsabBmjH4LU/BEcaifn4Ui75ElKBOm1rVEUYzpp1OkP7ko JG5MEWtlilsm
b2w7GFGbKFgOVehdiWLKULyIL779N7asUYoxA99IrOJm2HsLVYBtZBIoChtC wxoE9dCoVNZH
8VHzR012/+zXsWdP8QMrlWxq06j5aR1c+HDixY0fR55c+XLmzZ0/hx5dunNq Uf1MSaWKN7XX
qaZ/Bx9e/Hjy5c2fR59+uL9/sl/P5t0dt6rdvmUDV59f/37+/f3/BxC96uzr jTcCr8sOFti4
o8a7AB+EMEIJJ6SwQuaqo21B+OTzg77tfrMwRBFHJLFEE7+bpr0PCbwPO1UU dK/BE2eksUYb
b7QQHxXfYzDGVOarjzf8cCSySCOPRFK5AQ1kssUENZQxSSmnpLLKInW0bcHa ePsxt91k821I
K8cks0wz+6sOzA/VRFC7+KI8M04556STOfZihM9HIAu8DymT7NJmlG3oamQ9 OP8KdYpQqVIb
iIs6H4U0UvCWVLPS31xUMEMH/yGGL4M6U2FQOAoKji4UEG2KLlKjgucwSV+F NVbjMGQwS033
3A4/hFCNTI6WiuuMV6TsEFaqe5poyR9NipW1WWdjTXFNFi990sd/6JIoqWYA A5aJVZGK61vW
jtUr3GfPRVdSHfHskcEuPTxQIyYcXYpQe5goBI5QlR3oBpMO+TfYwAbCIS6O tDk0LkMcsgwr
FFS4hVyDHx6UKkfhSYERhvm1LF2PP6aRUj5HbjNTLlcS1yBT/eAoWU1U2kgs JgrtqpGcGqlZ
I746O8TUfE+KxR6+4ip0mb/+uUcOvW6+VpSl4SjEs6D/Hw7aU5CvxjrHa3nL MMsudWMSOIpW
SypYng2yJ1SkzuZZYINeykvgmtluwuYmlnYCMHKRnjkxku4tCHCN7s66cMMD THPk7cJ0cbvu
roWj47JHzfkfeI4+Kue5vQ1MjH6Qzamg0DWfWVmV4Ml277NR59Yg0mnu+3DZ Z0/vznaz5BBe
IS3KK6llDglWcJ0RQ5tzwINttSV76hY4eOM5/+lX1ftOu3V5A38+Zdq35x46 kQk8EFMto/Qn
NVSJUYnnypXFLDJD6MqIIpsPFbqld3bmXP2+a+5HDustdxXTyhcDtHlufwdk VvcUuMBZbW1L
G2oQrnZ3lJc8pCATewiiJgYD/8BcRCEPyRhVPtgI01QlBa/wCizqwhBGoYAL /ArVxG5gKhRE
bSA2tBoDdbjD4ERrRR8q2Zs2BSB/qCJzeeNhEpUInnW1i0e5C1KfHrQMDhqk GGRbYha1mJzv
NYlaL4LSEP9TPgtu0YxnLA6WuFYrLuEGbGxCYxzleKPETYtNjRPiHPW4xxHZ jke4i2CHoggi
PhbSkA/qoqWCqKlDNtKR+qHVA8f3ri9N8JGXxGR4fLg4IIrPWpkEZSid08Qn CnFP8RJlKlVZ
nESSTHxeo+FDXFWqQzElJxl0CkKqIpJV9vJjaoSg19xYyTDJJFvKSkECmcIv 7YGid3yTnO8C
Rzh4YP/Rl9eUVR3XVKA2OS5Ky8hWZDjXmsohZRmzdN04lbKtyCDLIGLEZjwl 5cc16kmQJJNJ
FSMDB3qxRniZg4M+VaYJtTVlecqUZ0Lp1MrwPYmRB8Ecxn7FL7schaIEFGeh LnKDrmTEd3kh
FMPA5c6j6HItOdEY1Y5CFe0p1KUniiSUbnXPXKlFltxSlqOUxcGcXksTHDxb KBBDkX5SEAWM
0EleMIaq5RFvdSlg2UkKBQqI+WMTS4vdS7V6ok160Ulg/CQ4ufWSwBU0dNX7 FOWYgFRUdSVl
54yF5kjazl+ZkyVny6jDeLlVvo6IlG+yp+6kSEWcEnQbxYCYyuAgBsROdLH/ 90qL6wL6P2KE
SnD/PKhdxXBQt8WFC/YQaF9FKyKGCumVJ4No6zo1NUSpaiOtVWsj4FrSZ6Yz I6/L3FzR+rmI
1RJyPinoaIVbIWCOT5heCpsxuYUQzChLbe/gqWFdAlTOUbWuzkRMZyzDNnU2 9SrJPEgytYsa
iSgrW9UcbnoRqSI7chOPPsLgQ9p3LUZhlL4V6QzVKlhQrFjNYCpIhdQGtlcR LiRqi7ELTuUS
TfU2WD/0zJO7TmnJEbnNwReOUGm/arLHlYhpGAYx4hwoUwnTlMIhguxpQrxi /nTVUhvOI4tl
fLi/sguK+JxxjrGm4S+aTDbw1HGQnVXcrrURuXAU/3KSn6VNaX3Rm0BWcpQf BWEo3RiVUsYy
pHi8SHdl2ct1iqmtSuyhmiIFY8SLioWRQlEVmwQGCEOoU8L1GI+61FwW9e2X weNixfU4xkcR
SJ2h8q+mUBXN9iDgnYNjsELVb6uKUqyK9fydGjsxkIIlpMrkwIfQPkXNZcvq P4oR56hctm4+
bWkolfUtfxCLb6SeNBf/AT4vcvnH5hxDq9DsaXUqxbwWFRRy5JqsPPcS0pIt 1IdjLR0is/HH
w0yuyjbRCPix5VQ1QVQLT3Ut04TTcs+8hyEUWzSOSIMghDYpZkwdCxpWlSow S0FhUDBDh8x3
ju2uBdTkooJp9I2i1lz2cf+Y/MNu/tke7asst0KHtFH9AxRHS01BNEEqTWDu H5qwjCgAYyqx
VMEg8bjF654a1/25s3KbaElXcHgLivBF13zkn05slj/OoTyjAV8OlQFJSRw7 HFEUIVXzZpbZ
VyfvU1k95zb6AYijOG++l1VnMYBm6kZDrypcEHqyCbdHqAOvb8i7Os6VNGsv NhSMD70lRLZL
80O0SuHecrtiVxMXMcDDqbW8ZUxwS5ExJI3kNDM59ex7dNGxHeYIZNrNEC12 6oxYzDcu8zLI
lvCbIw+8RVfxscOrhdZZ+LXcBZjajtUX4xFOcEZvOgJfzUfQZx31jFcOn6cV RGv1A4lNX+w+
VYL/kJ7pqyULJ2hLjGa9cvJNLKuwiBhU5ZJr924ZecmZoyunifP2veELX/ge RW546gMGHoKG
/XAqXUqeHyi/z0wxBxmlkKquMCytjsj//mGMuhosBYQoC8ITwgQVaMM0HxyI FNgMhoChW6Ch
gpELtEABtLi8e6OKAISFEpKqAww/gSM7SzE7H4OTCuTAEmk2SfoaYsq0DiTB EBk4Tiq4TyrB
FaQQnTOle7oyFpTB9aI1RTqtDpvBHPyPMFsjyDsxHQRC9ZC9TqqWLgvCI1SP 8XtBTBMTJHTC
8diy07q1J0wOonmOBwQ447DCrfrAMII2JKPC49A85mis5mA0vjrBsHkv/yMM w/FYFtZAnZyb
OOPjKxcMrEFqwjacDkWDimLwNjHEu1BzqSh0KDbUQ6aoH5ESKaIJqXn7F5P4 GYr5N2t7rsGz
KEZRCbowhNSwjD+pChV4BThIKQbDJh6EIJ4rs0NcivOLhZZrxRRYBJ1AKqA5 s5wxG86xqmTz
lnuoAsBohpbww/+xKr24l5/JC6GJq4YTK6FLJkdTqCHMFU8yRFVMCtziLf0B vN4SndjyG4Lo
DHuLw6TwxLfAPqXhrcjIG9BDmq1LKCW8w56jRnHMnutxHuzxOl0MDej5Q3lp i2BMCtZZm68r
HU24GInIutVTKEI8O9SKx2pUvblJGMRju+gLLv8/2bZ3GLx7CJqKVEfR0Bu8 A0lYC6UuPK43
4qaGVAp1bJuhyx66UImXmLmC2CnAsAesQz5OUYkyvBb/+TWNEAO5mZn+qavV O8iEZK9tYpzs
eDKUBBe5sKEaKgsTSoWkigUP0pdtMAylkwvMyK95u7hdsgwZMpUT8gpbWKGe ecCTQCGWUCg7
HDM8ZMoZKaKmuz3hUkgO28C4HJFwPAjwEy1TnCQJkiK9JBE2y0K+gkbTKkIc JMzGbAp3fEt4
dMzJRIq7DCPKxEykIEkjM8liyszMTMM7Uso/+8zJdEsr+0HC/DTx+Kcos8yH mkxCKw9syzLA
nCkyS029LL7xwCspS0z/GFPBycy+8tjNJINM1BxMwtQ2ciMYnYnAeYO/9jGp hoGIqjKN1XgM
SXPNCxyZDLzMxiSGbBEImWk0smSJlmO5w4g+vlg+sfoHm8uZ8BwJkQyxzXy2 IztJ1Tw1hAwM
8RJIrasrhIA+wrmHvNErrCOp3tzOF1PD0QxOpnwHs1JGhrhGwzsbhPAcZCmf 0/mLxTOnxLo5
LDvNS4NLwlyqowMu5WGe/yy6xMqs6AGgoUTG4km1HHvNaURJukgsnnE0iUq8 kHS0+zFAX0mK
7tMIuLjKEJUy24zMVNTLWBqIhdk/iFBABkwpFPigWVQNyGnOfaoK+sSw3/Sz By3N4phL16lL
/9g7ThKVzDIlDsKyosNcthudQjc1DjbzS8azz0DqzBG007gMTfdyUBz904Yc 0fLLzUJVxRtl
TEVtSCb1weR01HgUU9oj1EnVwzVFVEnF1EOk0waBUqsQjjHsVC/b0xCMNve8 Fk4YSqnguFKN
tUBNSjcJq30cjuKEVSk71AkbLH3SOOJozVzFMkb9pqPphz/wPhWQNxzgmIxy CE+Zvvj7yn25
ykmcisgS1q2CVDaNPIi4C68IDakSGrDonYQDnFYzCjsoL1f7B6HKReMbRv7M VpeqVGnsMPfs
hzzQGwu9m8rBRtSLvkRD1nFsu6qQ03ntJU3lVUKC03/41YOsR7kDnP+kkyyd mjh7KAiAPArQ
kj+ENcoadKVCnMLhs6hV+NFki0gNStmYGTeZsAE8oMmKjDuP5cKtCSbOFEFd CadVg1iWRLhv
LQg7SCx/hBzLmEmNeCEjRS+aTShZdTIhiq+DccqywCEUQrBEo8qvnDfrsTuA 6pdIawumladd
hcFEHbRec1WYFVsHI1YoiwpcfYplANO1ladtRUWzlbOyoM+ZoFsHq9fFzMu+ ZUGFLVtOFdwS
/FS3PdwKPNUvzM/FZUGnTcFLhdzwI1smrNzI5U6Q5bJGzdwKtFvB/A34a5Q1 ox+0/Vwl+1uw
MsJzatW4+Jm5Td0LI1zMPYhO21jUnd0gS1z/mbA4h5Td3VWvxsVPz1RVPMtH Ke2dYrzKdJOX
fBHAhzFA35MyhRGpAcMMjFnWZvWp0tVByV3De/1DjuuK3qEqsNhR6PmKlkE1 K9q1IPuvqokY
9Z3KqZs69nQahqvRCrzcEm3Y1MtHUrEXtJW6Y1Qn1vEHtZUyqjuKAg6aeTyo cTzY8Gtb3/2f
m6kcuisnvvO74lsWeAjeBts7cjTHhxw6W53B0DWxwcrImQvgT0EW4UErcmlN KsKDVk0y0Jvh
GIZgb0GrI1xdGGldEPUH/8HGqdC72Dmz8Pq7prS3KHudJX6+Jn6dASogHaxd PCRdtbM/2dpS
GioU0gXArDgKY3hf/yEby7WMt/+LSqi8Ia9Ixq/93s2tNSkMXOnwB30V3pci 3j7NQ+l4h/3d
Y1UC30H1XOhgrkF+qf5tU0WetAp2ZJxTYdw03Ej2siAmTUvWsyxuZE0eVjq2 QZG9Y0+Wsj7O
WVJ+5KNsssk9ZFRWMkaOQVdeUlAO2YVsZWqsmWedqHdjOKQKFV1SGzKqqN+q t7fhiI71skmu
pEpWRZMo132ZNr6Jqh3txX/YFtPxqRhAmPOMGyoADJDDOUwm04b011EhWLzq io754SO+Rjh4
4mXj5FhGSeFxSY1F0dTzSp10ya7jR1L8st4lzPUxZ44sNss5lddCNtxCm20L OFOONr38Rv+L
iK4qqkm30UjUGAPnAgxwup7r6QdSIYaiSmUGFU1apVxV7Iqosi+xlAvY6dKL 8tIUqF+Z3kqx
g2W81cNgpUxI1k1B3GnH60Fuxekw7MoQDkNxPmlZzrF4HmqlXjGAduooc2gw jOokK2STvuWq
ZrGbZmatfmpa9k7Y9GodU2YgIt0QwqWuSLCmFOSxTiWk7jDs4p3687ikIFW3 viamliK3+ScQ
ThV2xetrAujy6RgjnT8cxrO2DuxHmurHdd196h1/+IN08uV8i8R9sRi+yZeK xDLrbQvn1d6N
uV6KEmnNJWlBxWo4cSuXyJfTabRjZrSF84f8zYlpRmwo1onDqJ//p5rpqTlG /H0axbbpHamn
yIxBYngzP9gGUJAI+rtneqQeg9XpLGNgK5o6CK4bCZ5jkA1rQxSaVAicFLAF piO8dIpJjfhD
uK1e1ePgEoad90Y0ZNbcIjtF0RUTuuiduMghvt5F6uFI3cUyHRY9HrbH6/nh IITrvJRP5cI9
UoFImWTuAlJvKEYgKYY+E6a2CPdJLCZuG2PTWLYHpyJvL32/pHrOGNpKMJ60 NE4hNoaIp8Sh
OPbK7S47xVzIOl3sFWtsz8zxrz7tWV3KHl8xrvZTIWdbsLZxvFRcIx+tsnZS Jm+wBF9yKOcr
vS5yKrdLJIcxr8FyB9vxK+/yvrrqJxNm/+28VZ9W0pYlQT4MQiLXFc4WDtkM SO18VRK86xyE
ZJI9DlzdzQkP89lx8gniaOSYbgWlwz/XISlncKWgioxoxPlaToNuzlxmy2iF jK1mlPmiitRh
gk0Emn2SSV6WdDjX0w63tE1l2E7zhzvAqllUKvBibsCIOIFBxnt55m04V1aX 1wvrKaBDV26L
AWYIwKlSgXw7lXc9Hm+25tuWZC33My5PrX802GHbGyV1RYEmT72aYNE6cADi FojUoJlRvKrw
undmXJs1LpxN1X2Mbz/JngjlFsGRup+8G7xySR5FYQyz54MoKM/qLH5CHnZf CH8WuzGPseMF
ude7uZp5ubzaUf/3/hT3VvgVc0a2EOBDsXeM92FSR+gOdHOZ6HdfabXz2qyW pF7AmdEpFhz2
uZ6R975t7yuWRxpAaLWhNUgmsIxYD5ajrWiQLm3Ga1s2ewijXTBTAUWpCdUr HSGTUgn7Y7cF
kzEasi+qOJqcQLC/GMuQq+muJPhmp+/AXGEwL83VPGoV4aRoBNwpp0xDb0Mr /+PSTDHhTmFn
t7VRRnQ+RvevR1Wqvns0VGWCC1+77/uE+vjBF3O6v0HBN/xSBOr6Dvu3X/x4 UvTI1yq3d7iH
+HnhFERCYfOouHOliNoZVy+AbvjSVGteMRVqK+i3XX2ngHe1IPUqz3tn49NT Xke9UBb/o37C
TyP7RHnD4dBJg8Zdn9J9QzL4T9qbzm9MQ2f7p1B+VqlIQ1uK5zc2U9+5hcUP idm3iildjBlF
7u3Ae1HecA2LgFkroeidYDEXipLOoZ+Y/qsl0s0Wz7aM4A8M5oSJ9+d+F/Il SPY7hgOIRv/8
iYr17x6cQkxQqIhlj6HDFLf+Uaxo8SLGjBo3cuzo8SPIkCJHkixpUiM8FChS GCSm4lY/JgJj
NkIo8Z/LbQgZwUHRyJ8mMf8eHqI5VCLCnz0FajpEUdMNbT0b2rv5TsU2iw/F GK16K+nAggfh
CDxp9izatGrNUhtIDR81f9TmyoWbaoofVanm8vVD8V6Tifdk/w5VaViMPSZO Ey9uYnAt5MiS
J1OurHGw0380MR9UPLhsPziHPjO2hzXjspU1CX+G9/KvTMZDHf8r9rpi6rL/ UqdYLfChYRRj
LBMvbtzstH98+U5bTs3PlFSqYPG1+5c2Z3gxslY06p3w8fDix5MnaVQzHK6E Nyum6E80Zprw
bnDHjYJrYM6YXXMPrX4mYfxZBEpDu93XT37taVdfeQ06WBk+yr1VHYV35bVX c3P5dRB2hJnG
oGwhtvcgiSWaCJlsA5El4mjg2dOEb6WxZJFrE73oW2eNpJTZe42wWNtt/6R0 g5Cv3fjZUKed
uCSTILWVITVQQgmddNTJNVcqFLlmEP9Y/oASA0X2/KfZeuA1eSaaaMaEA0XE bPfecCnVRNZA
oLCZFE1AEamZIV4JiRSdYGly2jL0fSfQVdyldpqf8AAqkJdgDiVUmpWeGOGV cU2YqYWw7DVX
c36BYhgXQDG0TWgq3fCeSgq1utCMlso6q3iDTaHSdm2qpAUTWKWmklCpGsaS sDBsYyoKvKLA
iCbB9Ybsmz2l8MpCwQVH6UDNJrsQs6cKuyet4YrXFqjOlUulKstZJy677Z55 nrvxysukPxLC
RVeFeOkVZV/z+vuvcSkCPDDBlj3JHMIaRjedpusW/DDEIiGkUmYRW3xxSG3V pSm+dun7ab8Y
izwyySWbXFH/cuZCqXCVFZ78MswxyzxrhHPdO6HN1Fi475Qz+/wz0EETd3C5 RT+3sJV8ZSk0
0007/fRGmPK1Mad4eYrwhlBrvTXXMJPLr8pHS6euzl2bfTbaBdebM74574xh yGnLPTfdlRIN
Nt7oJm0Xq8EVOFKPdZsdeHd0Cn64RxpvOvWEbzu34TKSAtWbSKZWjPjToVWc qm6Ye25Rys6t
LDbDblMUeX8jhgTv50Br0jlQTnHWOu0143y7xxfmfbqxFIXGxUgC0z6z5hYF juTwn98tZV9I
c1z2bvRpeVO2uFYEre+EEaNq8icLq4JUPKmkwit0egls93RL3fHznYIc6ul+ cwcU//BAGUt/
tsZyFspE6Z+MGataJJDP+GMTBhGe/7r2tdGda2FkWxrqKPIOFCxGSQg5xIf+ IpqY8KRzCRzZ
ofSjGOAYZjgfHJy9GOe2j+1uN73LFlZs07/3iEGG7klPYih2wpKxCEmtydUO 0ba8hJFub9Ar
VH2IwZKHlOU9GPTJDYsik2X8LYgXC2GgVqQkKyrQLXDJ1MYctxzIScpARAIK oe43qKwsQ3/t
IVD/uAgxEQowR0DJlZjkCLXQLWd0equQsIIDrvOhoIyEBNNgIDLBU+nxYdoa HyweuRKY9AQF
4Gok02x3s03qjIU9wyQoQ3myIRrtj5wSJSpTabH1Nax9Vv9733NUKctZ+muB 5uIXuh5Iy13y
klZru12mcsezuPWymMY0ESnz5rwwHrOZziyP4r7IOGGCTEPPvCY2LcNHIrKs dI3LJjjDmRZN
UmiFuvukONOpTif9g3mlXKbS1inPeWaElVRT2iuxRs990tOWYculy/gp0HT+ 8mbB7OQ5iTnQ
fyXGEM2inIFUwiYh+e0W/rAD+mozvjgulETJnBI8HdbReaVkJS15SVckEhqB IPEfm5jIZqqQ
lWYwaKQNiubzwsjCMdr0X7ODF29qgh0nbKOkh1lTT020TaN1kzqmS6q8zuMf A+HHokER0nbs
UcbuLOSSUB0POdnWOE8q9KvhSlH/j2o0G4GU9DVqxciOzEqejzavZaeUK7uQ ipOs3sRRMJFD
TaGSFXiM5jHEMCFej2PPxWEpn+dKrLhshausIEtZ4juMiiTaGc1C9jj+FB3p dNnZWbFOI/5Q
RXeIOtoSFVSFY02oNVdrKQSi5oXFwJZsb9pOIoLUrt/MLZomRsGOEHK4wHUQ TsH42n3x9LjO
9dxS8dbUgD63unULK+4QOszYWre7aaPrdO/q3fF2bbHSbKwfrvZY8rJXa5/t Y2ip2975Cq21
bVsu3LhL3/36DLxFbOXS+Hum1wnYYF7MKX4fV+AmFW/Bk4muH533VAcXh5B7 WiQKcPC9Y2mL
UiQ81SGz/8eTFEjBW3DYYnuxy0nHoZPClcHfjpBUFYe0p4C/UUzg2sjh+mkC BtIYH2XtUJZQ
PIa+/jVlPF1smQxiZIIN6Yq1RjPUWzA5PmbS6kDyUFP2mteV6YVl1pQ8mQVd JDVcAAyNnUJm
i9hBKPYwFhVnmJ7ZZQuDl5vve7HmQPmKOTJ+qoha0dwVFBeGkUz03QbN5EI8 bJm99n0eNVvY
Z8no6S+AmPFulljjHmfFHqUCrPHW6MJtCO89E+XvkUMKvUlTupJgIqQWltIs rHwrs5jFnrAu
B48i7ze509RuNWPJ6jP54w8VsYcTOMoRf2i5wBB+nIR/O2wmtVRIuO3IMjxI X/8V5wu2wp72
ki5KKpCk5tQCTrVvsQTudbOry1X7sj7ZLW9Z5bmBY+PzvPMd7hTeN9It1jfA S4RuhjEz4Ab3
6IGVG+nmHrzh5Hn2GKMtUodTvDjcNud2nyNuQYKEcB35TIM94vHRhlxF2q64 RQaeNHUXySAp
2epGVuoR4Cjl5Bhhlc3l6nGcozxqbmHfu9WLyzDFChQQVQvyQpJ0vMYu1ANU dM9TLiEG4nLP
T3XUYyaY85LQGSRd17nhEC071UXdePyGNLBbiGmNOgVZwEtMIU4sFUhhtJD1 GZVhGlE8ZO3p
VxnOEWT7poJaJKSSKpgGYTZ+bYqrHMBaKhBCXi0WhPj/Acg8b8pTpAcKzS9r KUBxMwVT+pWw
45UmnAMLWF5Kpq0D3NfsE2PIPoxHayFmRK25DWlok6PSEDp+vVm6XOnoQ5kY NaMoh3hdvbku
rF9kzdkry36U5B8BdUaKOpKeRVJT1a+bNYTtwQyWy16Riyf4k2s/NopT1Brj phWipBlhrB5v
IxgB36w9ZA3xg1T2xt91SxeJVJiMyVgwBaHQx3ucBp7IRKXxSaM8Smdh0QDR iWAJyZ05nLvh
E7w9Vt1Z0kV8S9/onbT8hLYAUd9YC7FUkhrtSrWoRuBJUgpEkrMoBWf1XL1V 3b1NmPjl4Fk8
2kGxWFnpIBCKBP9JWxAWYcYk/9yvwZ5+GSETcgTyTRcONqEUYgT5+dsPTuEU DiHLYSEXUsQF
opfQwU8XdmENhorVEWEQjhxkSBIHfsT2cBbe6V9n8WC3ZVyYBWHJRYajsBUK vNDHMQFugcLi
ddYQTtwYpsWfKRGvccSf3QMgOJfrAdhOXeEhnsQexg/rXY8mvJoBOdcT/lcU AmHgLNJptNWP
URBwtF2HaQmQHUX/pEbb4Z1QDEbcWdAIXZu2mJDfEQlC1GKjqVMVpt2/6WAA 3QMVzNRXHOM/
NMNX4N9PbMKNjYYyMuOf3Nj9QONQMEHlMYSygcILqJZ73AGXxIaCpMA2ymE/ 7ZbR9BbBJZkR
bgYcnP/aYIAL6q1IlM2jVgSHpHyYcIBFBzIBYlHUtdgHUpAdP30hQoXhtxWh CP1dNv7d8OkI
EB3bQkzUJdLIRAJeB4qGVmQkVb1ILJTWPpVhfIWiDsLLoYWJT9ARk13Eof0Z +jEI943cW4XJ
aSDI6FUgPdEhxuXXQgYhY9xDZhDDmQ1lqaSHgYhg73iaULYJ8FykJi7lmUEd elzOReUKPIjB
JRbD71FlOrqTMvmWIeZgqqRAKlQSL1bLRL1hrNEaWm7W3z2SV/UNDnxg9hnG JdHlU6hgcGRi
OEWiTukOw1ViE37iH5kkYQJhMPrgEiZmEGrhqjlmESKk+8SbZBYhSQIUYl7/ ZtTxZPlRImei
XCFGZmiKH2Am2GCWZtkZpsSRpmr23GKSlYZsnHEBBwzM3UXUn0cY1W36wS++ Jl5B5tIQCK9h
mRPlo3GFhCJmT+8BZ2JRpmMNnUZSRDHknG5uBCwaD6ilRdM1nXM6U2ae4brc 0fWMwm9e0OrA
Acz9Qzwo20kEjhp+Zy95phVy10U64g2VBd6pBN1lFLL0zmAMYvxwVjFslEZx Y/WgwFFaCzcq
nnzS0mgG2D9owkQZA2X1hFO4SVZsj1OoXp4IYp2ASUoIqOjdg0wto078wUwd SydaGYCUhYd6
5YNi0mkuHDElSj884vMBBmgQn7VwQZWN0H10xASx/8RgyCMTnBo/igEdCeS4 zWgqsWbL4OD0
FdkFJYoGYRDMxVkUhYZX3WVVkUkbxgQHzgeDHMpQrCeUolJsetsdcqUW1Edr uF/+cVRKFo/R
eVB1qtWNAFpy7khLZuNiKAg6rmkoCec/dg4AnZhgtMcmdtoYeEkpllGzVAwo LIZVIIVhjcE9
PMalkuekoOmE4lFAGmojQWcGSqdFGEMclWUslCDF6GWCZmSB5p17aIuyuApE qiWicY+pqIAt
zJpFVZK5mWojhecNoqGxzht9CiNoLuuwRSi0tp4fpEK1Xqu1Zmu1TmJjTiu4 TQG4hqu4jmtr
Sqi3rlvN/EO6rqty/IObnv9rvpFLu8orvaaba8Irq2FKu9aLvmqMuyrkHeJr tM4rwdZruuCb
wPbZ2qjrvrZrur5rwoIbvRbsvIqlzsAqRESsg/lrvw4Ew9aLYIZM5Nzq0Wks qlHsxOqM8h0R
EMWETposebFrW8isu9oh7/QHHAAPzJ5syhasvUIQ9vnVrVoPmfDE4TGBL4bY r0oFRDyE9ORi
0Z7Yb+6sLHUsv3qsv6aqGPodI2ULj/kYkLXVRHxetrwJ5nknq/6DOHbGOU4t 1c5Sz6Zssq5L
BP3DBFUQd1zQeaBnkuRte0QQhQ6EsRXfgcjo29LSwqZr4rYrxOrYrcbQbdCQ +oGHDanILDoG
PDD/QhzEgjEckB8K6uGCJ8r6bDvSLfbhxBJBkYpYH2xkxp0aDjHgAKsSww2Y Z5JwlEiGLoR6
rNV+bM0GGxnZxxmJmo7NDvKgERuVUUo8JfvZAVYyqUHq7i7FLek6VeMEEl5e D96BSa7Z5axq
J2Vtp61pWCW9rPSyqcOm78wyrs2eb4FRr8Gu3L26b8xiLe/aL8gCLP2e2+ga rGjt73wtrr+u
b1tALADjWf9WbOnO7wFXF8fir++GbLc2sHXBrwJb71hS8HPRLM0asAZ7lwWT y89+8Hj1bu9q
bSxtIPfk4H6ab25WC2L1jUdOWwgrx9xCD/O9nPhdKk6oLkhwTvb5pYsJ/7D9 Pmz7rl2eRl0e
LhvmDYQfiNrpuPCk1bDKGtHS+B9FCbG85a5pGU6ODkYZZVu83u/CXi3IMlfs UU92IoubIa3U
/spr/OeFdsuXepffTQt8MIHR3gIpMm2DDm4bLkNm+B2bVAUMrkqzgEvdCSgk JrAIr+wVzwgY
D0SLaqOBmuiKeolQRAqrSAQWt5fp9UTbakYVUER7SpWOat9uvOhRUMskpYQn F0iMavFzqi/D
EvDvql1wLCXtTa6SKklQsobutdf9lUVigAtaGRtF5Kkg32VXPt0AYe6PkhcV j3DLNd/prh5X
cSCXrm6TzhcEVkQisQkqX8+JnUJZaB9ONin4qf9pd5kwBKPwhpyfTYKIQQKq 6moOknCxdQkf
1DFRMltEIqmZkTiGUexznRqZI9vwwV5d/N3qPgpgpy5zpBLIYCESR/ItKJfJ amRGP6xCm0i0
zh4bFDVgTo6F7HDkBBLWeBExEbspbXqVB1bS03GWHJclIcAKLXcWCdlAJRnG oPrqrPGBSpRs
M1fWCqKAH1TLUquGrI5XNS+wuZJwI5txw+qrBP8kVTdyCE+psm51bnGSWN2L bGo1WMtWW3gE
km3hWQMXqupvWx8Xsjb0V8d14J1dD5Z1wNo1ZEkrE8YnRwgXtgiLOw+sXDAo CqDms6JcAJFE
Y1fEO0jxpPGRtUScV2f/sPjx80UQmGb8waDEkRjrGzkZRh365F7nIG1lRIMV GxgrimT32fIk
dli2I1vjYYAYxkTBMeFZ3iM+RG6nM24XCQzWZbNMFCExsnO9NZg1IWbImETY w4la6OwUmwQN
aTNnRwrktGo8RG94RQEdUPQ68NTdkhne8FSfpJnAckgmKVeBho6i7i2Etu81 49jJjmPwY6la
V7MyplmjdnsU6Jl1CAcGNKKpwCkM8n0ciTPmiPO1l1+/Y/5lxT3IQZERxXn4 w3uPRUnfZH5k
UQT6SHOCMLaOuLYqYX+LH/jdxDIskadCr0dvQfMN1yWuOI5EJKjmEXmRq46H 62XrTHaN9XP8
/7iQi/WQl1ORAzmSH7mSEzmTG3mTJ/mTL7mTTzmUU7mUVzmWX7mWRzmXW3mX Z/mXb7mXjzmY
k7mYZ7kfUPGXT0GYu2lad8RdvDlfN9JdtFO7poydP0m7qvUUrCNvVXH7kIvC cYwfpLlyDDqi
/1qiA52iNzqjP3orLXqkO/qkQ/o9WTpjVbqmX/qmZzqnf7qnh/p5dfqog3qp izqCnbqqpzqr
S7qptzqlv7qro/qsr3qtw7qlF7qa/5ym34WtM448f410MUecS8iwMxU3JTuy L/uxNzvVPTt5
R3vYTDtoUTt8WbuyO7u0Vzu3X3u3Zzu0Yzuzh/u3j/u2ezu6g/u5q/+7uGt7 u5N7upv7u0t7
nev5xOJ5eMY73pi3sBtUdei6sfu7WB1Uv7mWwAOTkRM82hU8wy+8wys8xCe8 xA/8xCM8xV+8
xWf8wW+8wXd8w0c8xnP8x1e8yD88yXu8yYc8yoO8xq/8yY+8ysM8zgB8CO/3 FLD8zbi5cjBP
YmdIseMNWAb9n/s50QP90Bt90Qt90h+90iO90zc91DO91C891T/91Ft91Ud9 1l+91mO913c9
2HO92G892QN9neM52t/5nfOFbCvT1lvsXhz6pqhEw9C8rMc6reP9r2P63pM6 rvv9rQe+3v/9
3fM94ee94Qt+4g++4gM+4z/+4ke+40t+4Uf/Os07Mk7RvSQuflYbunOQNj4J u77DO7uXu7ub
PunLO+qvu+qPPuufvuvPu+yv/uzHPu3fvu3nfunrfuvvvu/3/rLXO8Hiu9ov B+g3T+oDutv0
e3D8u+eXOfSfufSHOfWbefVH//VPv/VvP/Zzv/Z3P/h/v/hnP/l7/5NfPvyO Nuh7TJvbIblA
CWn7fJ/v/Nh/ff2Hfdnjv/3n//33P///P0BQm0aN4MCCBAUiNJjwYEOGDxdG VDjRocSKFCFi
tJjxYkeOHzeG1DjSo8iSJEGmmvJv2j9qLF3CfNlyJkIUNx/6mXLyYCpVsKj5 Q5jqZVCE/nAK
pebHT1GlRvEZJSg0/+pTqlKhYr1qlVrVo121guXqdarYr2Szjg2LduvZtW/V xnUrtyxbs3Xh
ztWLl27avX75/m0bmDBgw4MP301sl3HewoghK47cuK8/pkVjYtaM79/Tm2hV Uv7qBxbRg01d
OkShUGVRhwgfwl4oGzZG2rVj29b9endu3r99B5/dezjw4sJxI8d9nHny5sud R4c+vfbz6tKv
U7+dnft278SxfzceHrx2iipj0swsM3PC1bR1in/oE3ZUoqnBliWI7zL+qPrz w+o/Ab/ar8AA
nxowwQMVRKhBAwF8EEEHGawwQgsJvFDDDDlccEMPO6TwQxFDhLDECU0EUUUS V0yRxRddjNIR
xRklrBHDFmm8EcYcl0JNs/WcSs1GlXAc0A9ViFrIR5Nac8kkkFB6UsooqeQJ SiunxLLKK7nM
ssstvQwTzDG1LPNLM8VEk8wz2ZwGPfXgTC89lOL70iegriIqFT/27JPPP/ds ys9BAS2U0EMN
TRTRRRVtlNFHHY0U0kklrZTSSy3NFNNNNe2U0089DRXUUUUtlVAfgQRyqUl3 WsyoI01DSKcp
aK3V1ltxzVXXXXnt1ddfgQ1W2GGJLdbYY5FNVtllmW3W2Weh1TVV9TAT1jrY AgIAOw==
--------------030202010700080702050005--
|
|
|
|
Powered by
FUDForum. Page generated in 0.03817 seconds
] 
Search
Help
Register
Login
Home
