Eclipse Community Forums: GMF (Graphical Modeling Framework)

Home » Modeling » GMF (Graphical Modeling Framework) » Error while generating gmfgen

Error while generating gmfgen [message #149991]

Tue, 11 September 2007 06:01

Eclipse User

Originally posted by: avikram.novell.com

Hi guys,

I am getting an error while generating gmfgen from my gmfmap file,here is
what the error looks like,

Validtation failed unexpectedly for 'Gen Top Level Node
InstanceTypeEditPart'

Here is the error stack!

java.lang.NullPointerException
at
org.eclipse.gmf.codegen.gmfgen.impl.GenNodeImpl.getReoriente dIncomingLinks(GenNodeImpl.java:544)
at
org.eclipse.gmf.codegen.gmfgen.impl.GenNodeImpl.eIsSet(GenNo deImpl.java:336)
at
org.eclipse.gmf.codegen.gmfgen.impl.GenTopLevelNodeImpl.eIsS et(GenTopLevelNodeImpl.java:128)
at
org.eclipse.emf.ecore.impl.BasicEObjectImpl.eIsSet(BasicEObj ectImpl.java:1225)
at
org.eclipse.emf.ecore.util.EContentsEList$FeatureIteratorImp l.hasNext(EContentsEList.java:427)
at
org.eclipse.emf.ecore.util.EContentsEList$FeatureIteratorImp l.next(EContentsEList.java:581)
at
org.eclipse.emf.ecore.util.EObjectValidator.validate_EveryPr oxyResolves(EObjectValidator.java:347)
at
org.eclipse.emf.ecore.util.EObjectValidator.validate_EveryDe faultConstraint(EObjectValidator.java:192)
at
org.eclipse.emf.ecore.util.EObjectValidator.validate(EObject Validator.java:177)
at
org.eclipse.emf.ecore.util.EObjectValidator.validate(EObject Validator.java:178)
at
org.eclipse.emf.ecore.util.EObjectValidator.validate(EObject Validator.java:178)
at
org.eclipse.emf.ecore.util.EObjectValidator.validate(EObject Validator.java:178)
at
org.eclipse.emf.ecore.util.EObjectValidator.validate(EObject Validator.java:178)
at
org.eclipse.gmf.internal.validate.ValidatorChain.validate(Va lidatorChain.java:67)
at
org.eclipse.emf.ecore.util.Diagnostician.validate(Diagnostic ian.java:127)
at
org.eclipse.gmf.internal.bridge.transform.ValidationHelper$S martDiagnostician.validate(ValidationHelper.java:96)
at
org.eclipse.emf.ecore.util.Diagnostician.validate(Diagnostic ian.java:107)
at
org.eclipse.emf.ecore.util.Diagnostician.doValidateContents( Diagnostician.java:146)
at
org.eclipse.emf.ecore.util.Diagnostician.validate(Diagnostic ian.java:130)
at
org.eclipse.gmf.internal.bridge.transform.ValidationHelper$S martDiagnostician.validate(ValidationHelper.java:96)
at
org.eclipse.emf.ecore.util.Diagnostician.validate(Diagnostic ian.java:107)
at
org.eclipse.emf.ecore.util.Diagnostician.doValidateContents( Diagnostician.java:142)
at
org.eclipse.emf.ecore.util.Diagnostician.validate(Diagnostic ian.java:130)
at
org.eclipse.gmf.internal.bridge.transform.ValidationHelper$S martDiagnostician.validate(ValidationHelper.java:96)
at
org.eclipse.emf.ecore.util.Diagnostician.validate(Diagnostic ian.java:107)
at org.eclipse.emf.ecore.util.Diagnostician.validate(Diagnostic ian.java:87)
at
org.eclipse.gmf.internal.bridge.transform.ValidationHelper.v alidate(ValidationHelper.java:288)
at
org.eclipse.gmf.internal.bridge.transform.TransformToGenMode lOperation.executeTransformation(TransformToGenModelOperatio n.java:280)
at
org.eclipse.gmf.internal.bridge.transform.TransformToGenMode lWizard$1.run(TransformToGenModelWizard.java:164)
at
org.eclipse.jface.operation.ModalContext.runInCurrentThread( ModalContext.java:369)
at org.eclipse.jface.operation.ModalContext.run(ModalContext.ja va:313)
at org.eclipse.jface.wizard.WizardDialog.run(WizardDialog.java: 934)
at
org.eclipse.gmf.internal.bridge.transform.TransformToGenMode lWizard.performFinish(TransformToGenModelWizard.java:167)
at
org.eclipse.jface.wizard.WizardDialog.finishPressed(WizardDi alog.java:742)
at
org.eclipse.jface.wizard.WizardDialog.buttonPressed(WizardDi alog.java:373)
at org.eclipse.jface.dialogs.Dialog$2.widgetSelected(Dialog.jav a:616)
at
org.eclipse.swt.widgets.TypedListener.handleEvent(TypedListe ner.java:227)
at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java :66)
at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1101)
at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.ja va:3319)
at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java :2971)
at org.eclipse.jface.window.Window.runEventLoop(Window.java:820 )
at org.eclipse.jface.window.Window.open(Window.java:796)
at
org.eclipse.gmf.internal.bridge.transform.TransformToGenMode lAction.run(TransformToGenModelAction.java:72)
at org.eclipse.ui.internal.PluginAction.runWithEvent(PluginActi on.java:256)
at
org.eclipse.jface.action.ActionContributionItem.handleWidget Selection(ActionContributionItem.java:545)
at org.eclipse.jface.action.ActionContributionItem.access$
(ActionContributionItem.java:490)
at
org.eclipse.jface.action.ActionContributionItem$5.handleEven t(ActionContributionItem.java:402)
at org.eclipse.swt.widgets.EventTable.sendEvent(EventTable.java :66)
at org.eclipse.swt.widgets.Widget.sendEvent(Widget.java:1101)
at org.eclipse.swt.widgets.Display.runDeferredEvents(Display.ja va:3319)
at org.eclipse.swt.widgets.Display.readAndDispatch(Display.java :2971)
at org.eclipse.ui.internal.Workbench.runEventLoop(Workbench.jav a:2389)
at org.eclipse.ui.internal.Workbench.runUI(Workbench.java:2353)
at org.eclipse.ui.internal.Workbench.access$4(Workbench.java:22 19)
at org.eclipse.ui.internal.Workbench$4.run(Workbench.java:466)
at
org.eclipse.core.databinding.observable.Realm.runWithDefault (Realm.java:289)
at
org.eclipse.ui.internal.Workbench.createAndRunWorkbench(Work bench.java:461)
at org.eclipse.ui.PlatformUI.createAndRunWorkbench(PlatformUI.j ava:149)
at
org.eclipse.ui.internal.ide.application.IDEApplication.start (IDEApplication.java:106)
at
org.eclipse.equinox.internal.app.EclipseAppHandle.run(Eclips eAppHandle.java:153)
at
org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher .runApplication(EclipseAppLauncher.java:106)
at
org.eclipse.core.runtime.internal.adaptor.EclipseAppLauncher .start(EclipseAppLauncher.java:76)
at
org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseS tarter.java:363)
at
org.eclipse.core.runtime.adaptor.EclipseStarter.run(EclipseS tarter.java:176)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAcce ssorImpl.java:39)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMe thodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.eclipse.equinox.launcher.Main.invokeFramework(Main.java: 504)
at org.eclipse.equinox.launcher.Main.basicRun(Main.java:443)
at org.eclipse.equinox.launcher.Main.run(Main.java:1169)
at org.eclipse.equinox.launcher.Main.main(Main.java:1144)

Any help on this would be appreciated!

Thanks,
Adi

Re: Error while generating gmfgen [message #150001 is a reply to message #149991]

Tue, 11 September 2007 06:22

Eclipse User

Hi Adi,

did you validate your model files before. If not do the following
to accomplish that:
Open all your model files and select "Validate" in the context
menuof the first child element. (E.g. in .gmfmap it is "Mapping".)
Do you get some error by validating some of your files?

Cheers,
Nicolai

--

I'm trying a new usenet client for Mac, Nemo OS X.
You can download it at http://www.malcom-mac.com/nemo

Re: Error while generating gmfgen [message #150011 is a reply to message #150001]

Tue, 11 September 2007 06:26

Eclipse User

--nextPart4957930.PRF1bgGC6B
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 8Bit

Nicolai Kamenzky wrote:

> did you validate your model files before. If not do the following
> to accomplish that:

Yeah, I did 'validate' for all my model files (ecore,
genmodel,gmfmmap,gmfgraph & gmftool).

There are some other errors as well which I get during generation of gmfgen.
Attached is the screenshot with all those errors.

--adi

--nextPart4957930.PRF1bgGC6B
Content-Type: image/png; name="Screenshot-Create generator model .png"
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename="Screenshot-Create generator model .png"

iVBORw0KGgoAAAANSUhEUgAAAjoAAAI6CAYAAAAuSOLAAAAABHNCSVQICAgI fAhkiAAAAB50RVh0
Q1JFQVRPUgBnbm9tZS1wYW5lbC1zY3JlZW5zaG90HJc3dwAAIABJREFUeJzs 3Xl8U1XeP/BP9qRJ
13RvoS2UHcsOCqisiiACIjqCCgoiqD9HffT5KQ6jjDM687g86vBDHBQdQRBB ZNxBZEd22VsopS10
X5Mu2W/u+f2RJk2a5CZpi7T1+369ojQ599yz3Ztv7j33XhF8yBo/l/l6nxBC CCGkozqze4Oo5XtS
9z+cAc6MuY//VmUihBBCCGkvDPAMeFyBTtb4ucwZ4JzLvQKvkEjk9Q/vjzze 8E7nnZX/NJ5pRULZ
uaUNLl1TygBpmz8ULqbI459B1FogrY+lRb4+8bMWr7TC6Rz/DNBgbv0eXDOI PP/0mS6o2vhseJ9p
/XSQz6UDNonPBveRVtTyDT9pg0nXIscA6Tz+8t0g3u/436ADpBVuiIBjzSOt dxoG1rRbEsKa/yuY
tvlDFmQ6/2l9vMl8Li24ChZkOsc/BQrNPP8IrnrM888A6YTTen/iu9l85+Bz 6YBN4rPBfaQNnM7x
sUdjB5NjMI0XIK2P0eKVTqDNWOB0QMtmF26wAKOiRdrg0gWZ0lVQ4bTeY0Nw VLX40O1ADXMGO1Kg
Ocg5l3slmKISQgghhHQ4zjimKeBhZ3ZvEIlDySCIAzCEEEIIIR2GNJSjOcKH gwkh14PVYoJcobre
xbimrBYTZF28joSQ9nMu94rrqI5UKKFYLMKQ+CjckhKHCKkERpsIJ3NrUWu1 w2Ll0MBZUMNbYJbx
4EM6NkRI12Ro0EFXWQyLyQARAIVKjZiE7gjTRF2T9ZUWZCM2QgErkrtssFN8 +Ty04XKwyFTI5Z2j
jhXFeairKUO3XoOhDAv3m47n7bh87hBUmkik9Bj4G5aQkN8PwUBnes9kjBvQ DWKFDFcqDMgur0el
hYfVysFitcJq4SC1cBCLbOA0EohVgtkR0qVVleajb4oGL8ybjd4ZyRCJRLiY X4JPtu5BcbUBUXEp
7bq+8qu5WHrvWAzITMXiP69Fer/h7Zp/R1BakIMlc0Y31fFj9Bgw8noXKaCK ojwsnDEM0ycMxxOv
fIgGI6AM03il43k7SvNOYPf6V3A6pxAvvvsVBTuENDHoK9CoqwAAxGdkeXxW UXAGAIMmOgHqyISA
efmMTEQioE+4GjemxkIRroBFqYRNb4NSLYPFaoPVaoXZ4niZTBaYTWbYGhkU KREQyynYIb8/ddVl
GDMwCc8vugtmixXHzl6GUi7DsIE98OYLD+KZ1z9FbWM9pHIFCnOOQR0RA4vJ AN7OIa3PUHA2KypL
LsNiNkAmV0Kb2B0R0fGOvGvKUVtRBJvNArFYAk2kFgndeqFOV4FJNw1EebUe FrMRds4Gq8WIiiJH
PnK5EtrENETE+N4RmBrrUF6UC6vFhDBNFOSKMOiqipHedyhU6oimz/NgNhkg lysQm5yByJgE2O0c
ck/tR3h0HMQiMRr01RCLJYhP7Ymo2CQAgLFRj/Krl1zLxqVkIEqbBJvFjNwz BxEeFQuzsRF2zoae
A0bCUK9DdfkVWK1miMUShEfFITm9D/S15W51NMDO2cAYj4riPBjqasEzhrDw KCR2y4RcoYLNYkbe
ucPQRGphNjWC5zhk9BsBmULpqrfZ2IjCCycQGZMAm80CY2Md5HIVYpPSoKsu hclQD7kyDMlpfaBQ
OQIUzmZBVUk+Gut1YDyPsPAoxKf0dOVrbKxDZfFl2KwmSKQyr7Y2G+pRWZLv 6F+ZAtrENKgjY9p1
DBLSlTTqKvC/K54EADz98kokNAU7FQVn8I7r/X+2PtABRBifGAOxhUNVrRmN UjvMZhtMRgssViss
FitMZitMZjNMJguMZgtMOjNUUiCiG2285PeF5+0w1JXh8bn3wmK14bHla1Bd b4Ods2Hs0B548oEp
GDagB77aewFKGLF7/Ss4dDIXPbsnIDJcjYUvvo/oKDWWvzQPGanxqKipw7+3 7sGJvEKIxGKM6qPF
A88+hgRtFExmKw6cyME7n/yAD/7yKGQyKbolxWL3+lcwc+n/oFtyLP7klU8+ 4lN6eJTZUF+LCJEO
q5Y/hG7JsTiVU4CishrcfdsiPPHKh6iu0CNezeG9ZXNb5JUHa0MVdq9/BfuO ZcPG8RgztA+MZgs+
/OJnnCwshlSmQJSkznvZ3IuQo9Gr/o+8uAqD+6XjgacXB1VHuUyOP94/CSMH ZUImleBUdiH+32c7
YA1LhK2+yLt9l60GtJmQKZQwGxshNZVg9/pXsOPAaSTERmJAZjeUV+uxdstu zHzgbvTPTEVxeQ1e
X/0fWABIJFLUl+Xij3O918mHp8BmsyJBacKrr8xHSqIWp7ILYbXZXG1taqxD YoTdq3+P5179rYYo
IZ3aOyuexNMvr3T9O1Q+Z9aIRECCWgFjtQFXShpQXt6AsrJ6lJbqYbbYmoIc R4BjNJthMplhNFmg
K9e3rTaEdEJmYwP6ZyRDHabE8bOXUVVvQ3KPAejWezDOF1txz1Pv4D/78xAV 23zq6qYhvXHiXD6+
/vkYrDYO//P8A4iNDseaL35Gja4By5bejTStFBqREc8tvAv1jSa89+n3yMkv xu03D8aEmwZgy/bD
sNt56OsNWL1xB8LVKr/5GBqat027nUNd+WW8/txcpCRqsW7bXhSV1mDWZLfT QqYav3k53TKiP66W
VuFvq76EXCbFsw/fifrKK7DqinwvGyfzWX+ZRBJ0HXkmwhsvzMP4Gwdg/7Ec /LD3JIYN7IF3/jQf
9ZUFPvNvtMk8jug4jR81ANv3n8YnW/cgNVGLPz95D46cvoSV639Eemo8ls6b jMriyygpOOt3nfry
PBhrruKv//UHJCfEYP1/9qGovBpjhvV1rUdkrfXZHulx8jaPPUK6qoSMLDzT FNwAjgDHPch5+uV/
uo7yBOLziA7PM8gkUhTf0A1yAFIGyJOiEdc3GZydh51njv/bGex2gLPz4Hge jXUNOHj+YttqR0gn
Y7fZEBWpBgDoG4yQyRWuzzQRWkhlcijDwsFxzb/yi8qq8eba76BQqnHXuAFQ KeVYvXEHvt51Aj//
chZbVv4X7rh1CN797Gfc+9Tb4Ox2KBUyJMZFYfjAnoiNDsen2/bh+YUz0GAw Y/MPRzDnjlF+8/l/
mw5CHe6YEG2oq8XwGzIQrlZh4zcHsGXnGXBWE1KTtBiZlQkAGH+j/zJdKiwD AFwpqcJn3/wChSIM
J7MLcPPwfoiLjsCNQ3r5XXbtll0e9Y+KTUJ4VEpwdfzxKMYM6YW05Dh8u+sE /rnhZ4glUtQ3mvDQ
rFsxafRAHPz1gkf+kdpEJKX18dlvx8/l4+cjF6GQMCy6dyKulFRh0w9HYbfb sHTubUiIjYLFbMTo
wZlu69wJsdhtnTcNRF2jEWFKBTZ99ws27zgJm9WCjNR4DOmfAQCYINCWF/JL 2nMoEtKlOIOd/21x
FMf9VFYw/E6oYQA0v+RgR7kFDWYbzJamU1Qmxykro8lxNMdosjhOYZmtsIsY Rs3q+JMFCWlPYqkU
DY0mAEBMpAY2q+PfjOdRX12ElGgpLl8pRkxy8+mjkopaqNQRkMmViIuJAAA8 8cAULJ17O5y3+kxN
jIHNZMSC+yZi4k0DEaEJQ2VtXYu1N93zQSQWzMdiNrmW4DgbYiIjAQClVTpE xiTAYmpESUWtK41Q
Xk51DUYoVGrI5EpYLI4gTiwWBbVsSUUtwjRRSOjWE6V5Z/HAnaMD1lEkFiMh 1lHuS1fKEBPfDVKZ
DHlXygHA9Zkrf3UkElIz4U99oxHKsHDYjDoAgL7eALkqDBZjIziOh1gkAhg8 1hkdmwpJi3U67y9W
XFGDiOgEWMyNKCqrcQU6wbQHIeTa8RvomK0cGkf3w2gAPAPsPAPvPJJDR3QI cVGFheN83hmYLVYM
HZCBuAgFSvOzYbOacNf4wXjywSnYdywb/1i7ExFNZ1CsNg4ikRgSmQy6OgMA YO2WXThw/CJkMgli
o8JRUqnDHbcOxj1TbsTmHw5h7ZbdGDogA3979n4wxiBC8+3cGW/3m09pVT1S evRzlVfqts605Djs
PJwLzmpBz+7Nk/rc8zp4/CKkrryagxDm58Za/petd6Wx2jiIxWLoqsowbniP oOrI2zlUVDvWn5mW
iB8P5kAikWDy4GEAgPIqvUf+InE73PNCBM91HsiGWCrB7UOHu9apb3DUNy4m Ao0NBbCZTYjXRvhs
D89+aRnQEULcVRSc8TqaAzjn7LTx1BUAlBktSDhXgBP5tThaoofRbG2ai2N2 zM0xWWAymWG2WGC2
2GC2WJE5rAfSbkhrfa0I6YTEEikUEfFYs+ln/J+H7sAHrz6Ko2fyEK5WYXC/ dHCcHRu+PoDI2ESw
xlKPZcMjY7H7yHnMn3UrZk0eCbPFhsH90jFu1ACs3rjDlU4iESMlMQazbnMc MZVKJRCJRDCZrYjX
RmLp3MnYdeQ85ts4n/nsPlWBmIRUAIA6IgbHzp5Cg8GEmZNGgAGIiw7HDb27 u9YnVKbvdv8q2B5C
y+49mu2RljWdrvJfR3FzHe+fjC07jqK0ohZ3jncENxYrhxkTh6NaV4+dv5xH WDvf4kIsFuNEzhWB
dZ4DD4aGRhNmTR6J8ko9oiLVGDWoV1Dt8fXPx9u1vIR0FS2DnJaTkd9Z8X8c wU564GDH70+efRU1
sMkkSItTQ6sQuyYcu4IcsxkmixUmixUWiw0xKdFIyAh8mRchXVF0XCp2HivE n9/dhILiStw4uDf6
Z6bi9IUrePb1f0NnU0OhVHstJ1OoYJfH4sW3NqC+0YQnH5iCrL5p+Ozr/fh2 Xza2H8zG4VO5uGvC
cLz1wkPIv1oJnueR2T0JUrkCW7cfAQDcNnYQDEar73z2X3AFOYDjKiJ1XHe8 9PZGlFTqMHPSCEjE
Yuw6dA4AwDMGmzjCT5lyArYFJ432vexe72Wj45Ox45cc/3VUeNZRpZDj2dfX Ydfhcxh/40BMnzAM
x8/l449/+zciE3p45d92IiSkDfC7zpiU3ohK6IEX39qAqpp6PLtwOsYO64sf 951y5WBmGj/tkS2w
XkKIk3NOTkJGlivgCYXI3yMgRADGxsdgWHw0dHozDl0sxfGLxaita4TJbIHJ 7LiPjiPIiUJaVjpi
EqKaF6anl/tP5zctPb3c84PO9/RyQ10NdFUlsJgcpyuUYeHQJqZBpY4ARIDN akFhzjFoImORlN7X
lYGxQY/qsgJYzAZIJTJEaBMQm5QO3m5H2ZULMDToIJFIERGTAF1VCTQRMUjJ GICaiiuoKS+CWCJB
Wu/BsFktrvu1SCUyRGoTEZuc4dFEnM0CKW9AhlaKgpIqXMgvgUQswX8/Oh23 jR2Eh55fCXlMD1de
ZpMBUokUUbFJiEvJgN1uR+6p/QgLj0J6nyEAgJKCHNTVlKPngFFQqNQw1OtQ UZzXvGxcMhJSe8Bm
sSD3zEFERMejW+YNYGDgOQ7F+dlorK+FRCJBlDYJNZVFCI/UoltmFqrKClBd dhVisRjpfYdCJJKg
quQyGutqwDMGdXgUErv1gkyhdN1HJzwqDik9BvjsP7OxwXEfnaaJynbOjktn DkAVHoXumYMAAJfO
HIREInXdoNBxH50CNNbXut1HJxMyhWPiuclQj4riPNjMJijC1JArwlBfW+G6 M7KxQYfqssLm/o1J
gDYpDbw9yDsj09PLBdLS08u74tPLW3vDQPe8B/ZOw382rBIOdAAgIzwMI+Oi ES6Vod5kxbqvj6Gw
vBoGsw3KSAXU8VFIzIiHUqNssTAFOn7T+U1LgY7nB50v0PFOG0y6FjkGSOfx l+8G8X7HPdDhrNBd
PY/P330aAPDxll0Qi8WYO30sGgwmPPjf76PngFFNCwk3RMCx5pHWOw0T+MJz T+X6b3Df8AGey9fi
yyeILyj3t3x8dQWRNuC3uvBXBQU6Amkp0OmKgY7XKnyvWDCtM9AJeEK7oMGI ggajaz+mGJqKPkj1
SBNUbEEI6RCkUjnkkcn4y8otWHD3rXh49njwjOFifilWbdiBlIz+Qf0IIYSQ zoCe10DI71CkNhEF
NdV4/C/rYDEbIIIISnU4ElIzoVL7fwglIYR0NhToEPI7pYmKhSYq9noXgxBC rql2uNEEIYQQQkjH
5Dqic/n4d9ezHIQQQggh7WZg78cBeJy6EuH0rvXXqTiEEEIIIaFjDODsDBYb D6uNwWZnuG32w67P
XYEOXWRBCCGEkM7A8UgqwGLjYeMcwY0795jGLdChSIcQQgghHRNjgI1j4HgG jmOuf/viHtM0Bzp0
NxxCCCGEdDCcnYGzM9h5x8OErTbH30LcYxqp27uEEEIIIdcdY4Cddxy1YU03 S+bsDFYbH9xdmOnU
FSGEEEI6IhvnOGLjfLQF33QUx+7nNJUvfk5dEUIIIYRcH3Y7g9UtwAGajuJw DEE9n8uNe0xDR3QI
IYQQct3wPGDleLQ8YGOzM9g4vlV5+jyiQ4d0CCGEEPJbcV5F5XVKigEWjgff uhjHgeboEEIIIeR6
cV5JxVrGOE3zcUKYjuOTe0zjetYVhTmkPeXl5V3vIlxXv/f6E0KILzwDLE13 L/YV5Fhs3u+3hntM
0xzoBHFE5+DBg5g+fTpiY2Mhk8mQmpqKpUuXorq6GgCg1+shEokgEomQkJAA 1lRau92O6Oho12eN
jY0wm82uv1u+3nnnnaDX2Z5CKX9rLFmyBCKRCIcPHxZM19jYCJFIhHHjxvn8 fPDgwRCJRNi/f7/H
+6tXr4ZIJMKSJUtCyj/Q+kIpOwA88sgjuOuuu4LOuy18jSOpVIqkpCQ88cQT sFqt12S9Tr7q515/
QgghDs7Lw3kfkYwzAApxzrFfvq+6ChDobN68GX/4wx9cO/W4uDgcPnwYq1ev xsGDB3HixAmP9JWV
lfj1118xbNgwHDlyBHq93me+Go0G8+bN83gvKysr6HXKZLLQah+kYMt/PSxY sADPPPMM1q9fj5tv
vtn1/saNG12fh0IqlWL27NkYMGBAu5Rvw4YNSE9PvyZ5++M+jqxWK7Zv345V q1YhNTUVL7744jVd
d0vu9SeEkN87BsBmYz4DHMAR5FhtbZmQ483nqSshJpMJS5cuhVgsxq5du7Bz 505s3LgRFy5cwL33
3osePXqgsLDQlb53794AgO3btwMAduzYAQDo06ePV95arRarV6/2eE2YMCGk dR48eBDDhg2DQqFA
r169sH694+GkziM099xzD+bOnQuNRoOkpCSsXbtWsL7Blr+srAz3338/oqOj oVarMW3aNOTm5ro+
37NnDwYOHAilUokpU6agvLzcY3l/5Q5k3rx5kMlk2Lx5s+uIRXFxMfbv34++ ffvixhtvBAB89NFH
6NGjB6RSKaKiorBgwQKYzWav/DiOw5dffom9e/cGXXZ/eQ8fPhwWiwUXL16E SCRCeXm5V95C7dba
PnMfR2vXrsX//u//AgBOnz4dsL0ZY3jxxReRmJgIqVSK5ORkrFixAgBQXl4O kUiEKVOmuPKZOXMm
RCKRx5h3aln/a3HkkRBCOgue938UB3BMSLa28sqqYAV16mr//v2oqanBbbfd hltuucX1vkKhwKZN
m7Bt2zb06tXL9X6vXr3QvXt3/PjjjwAcAUPPnj19/sqtqanBkiVLXK+//e1v Ia2zuLgYU6ZMQUlJ
CV577TUkJyfjwQcfxO7du13LfPnll+jbty/Wr18Ps9mMpUuXoqGhwW99gym/ 1WrFxIkT8cUXX+Du
u+/Gww8/jJ07d+LWW29FbW0tqqurcdddd+Hy5ctYtmwZevfujf/85z+u5YMp tz9xcXGYOnUqdDod
vvvuOwDApk2bwBjD/PnzAQA5OTl49NFHodVq8d5772HkyJH497//jc8++yxg /oHKLpT3008/DalU
iri4OLzxxhtQq9UeeQdqN6dQ+0yv1+NPf/oT/vSnP+H555/H8uXLAcAVoAi1 91dffYW///3vmDFj
BjZs2IChQ4fiH//4B/bt2xewrVoKVH9CCPm9cN4Dx9+cG1eQ006nq9x5xDRZ 4+ey5WsOsNF3LmT+
rFu3jgFgCxc2p7nvvvucd/BhANgbb7zBdDodA8CmTZvGHn74YSaVSllhYSGT SCRs8eLF7Pbbb2cA
WENDAzOZTB7LO1+DBg0KaZ1vvPEGA8Def/99xhhjpaWlDAB74IEHXOXp37+/ K49Zs2YxACw7O9ur
nqGUf+vWrQwAW7x4sWv5P//5zwwAe+edd9j69esZAPbcc8+5Pp8wYQIDwA4d OiRY7oaGBgaA3Xrr
rX775KuvvmIA2N13380YY2zYsGFMLBaz4uJiV5ri4mJWWVnJCgoK2PPPP88A sBUrVnjl3/LvQGUX
ypsxxhQKBevTp4/PvAO1W6h95m8cjRo1im3cuNGVTqi9P/vsMwaAZWVlsdde e43t3r2bWSwWxhhj
ZWVlDAC7/fbbXXnNmDGDAWAFBQU++8q9/oQQ8nvDM8YsNp6ZLHafL6PFzgwm O9M12Fhtg43V1jte
NfU2VlPneFU3var0VterUud4VeisrKLW8Sr38xp950K2fM0BljV+LnO76sr/ EZ2kpCQAQH5+vuu9
yZMn47HHHsOoUaN8LjNp0iRwHIdly5bBbrdj0qRJPtOlpaWBMeZ6nTp1KqR1 FhcXAwCeeeYZaDQa
15GlS5cuudLExsa6/h0WFgbAMcFYSKDyX7lyBQAwZMgQ13uDBw92fVZVVQUA Hke6nKfEgi23kGnT
piEuLg7fffcdjh49ihMnTmDy5MlISUkBANhsNrz55pu44YYb0KtXL2zZsiWo fAEELHtb8g7Ubk6h
9llaWho4jsNXX30FqVSK/Px89OvXz/W5UHvPmTMHjz76KHJzc7Fs2TKMHz8e mZmZOHbsmM91BRo7
hBDye8UYYLUx18U8vhNd+9NV7jGN2O1dv8aMGYPY2Fjs2bMH33//PQBg4cKF WL16td9AZ+LEiRCJ
RNi4cSPEYjEmTJgQUiGDXWdCQgIA4NVXX8WpU6dw5MgR7NixA5s2bWquWivu ERSo/GlpaQDgCszc
/52RkYHExEQAzV+wAFBUVBRSuYXIZDLMnTsXFosFDz30EADPScgffvgh3nnn HcybNw96vR7vvvsu
AEAsDjwtK1DZA+Ut1N6B2s2pNX0mkUgwc+ZMvPzyy6iqqsI999wDk8kEQLi9 dTod5s6di7y8PGzf
vh1Lly5FUVER3nrrLUiljvn6BoPBtZ6ysjLBctA9qQghv0d2njUFMP6DHAbH TQKvuVBvGKhUKrFq
1Srcf//9uPPOOzFu3DgkJibi119/dU26dH6BOSUkJGDgwIE4e/YshgwZAq1W G1IZg13n0KFDsWLF
CqxcuRJhYWHYu3cvvvjiC7zxxhtYtGhRSOsMpfxTpkxBz549sWbNGgCASqXC +++/j5SUFDz44IMQ
iUSIiYnBypUrkZGRgcrKSvzwww+u5e+9916/5Q50ebjTggUL8O677+LixYuI iorCzJkzXZ85v5ht
Nhvy8vLwz3/+EwCCutz6jjvuECx7oLw1Gg2uXr2K//qv/8JTTz0VUru1hxde eAFbt27FyZMn8Ze/
/AWvv/66YHvLZDI8/fTTmDp1Kh566CFIJBIAQGZmJmJiYhAdHY0jR47gH//4 B4qKijyCNF/c679s
2bKQxz4hhHQ2nD24h27aOHYtpuR4adUNA+fMmYO9e/fizjvvxOnTp7F582YY jUYsWLAAR48exZw5
c7yWcZ7u8XfaKpBg1tmzZ098++230Gq1eOaZZ7Bv3z68+OKLePbZZ1u1zmDL r1KpsGfPHtx3333Y
tGkT/vWvf2Hy5MnYt28foqKiEBkZiW+//RbdunXDY489hm3btnkccWmPcg8e PBiDBg0CANx3331Q
KpWuzxYvXoxp06bhgw8+wKRJk5CVlQWJRBLwSxpAwLIHyvupp56CSCTCp59+ ipqampDarT1IpVJ8
8sknkMlkeOutt5CdnS3Y3k899RReffVVnDt3DvPmzcOmTZvwxBNPYPny5RCL xVizZg0SEhLw6quv
or6+PmAALVR/QgjpahxBTnDp2uNmgMFwj2lEWePnshlzH8febz/F3m0f/DYl IIQQQkinxgBwnPvj
GjyjGPegxs47Ap3mz1jzEgy+/+2Wzj0/X+lauvfhJ3HrnQ/hPxtWuT/Uk+YV EEIIISQ4nMCl4+4Y
A+z2a38oh+cZeOfV6j7vjHzNi0AIIYSQzo4xwGYP7nENDE1p27UAjonPdr4p uGHwCrjcYxp6ejkh
hBBCgsJY0ymoIGMXrh2CHAaAtzuDm+b5QEJHk/w866rNZSGEEEJIF+UMcoIN Xey8cDAivC5HQGO3
M3C8I7Byn5sTiMjX5eV08ooQQgghvoQa5PBNp5VCWwnA8Qz2pqu4mHPFrUJH dAghhBAShFCDHNYU
sATLzjedlnKuox2m9Pg8okNzdAghhBDizjUnJwScHUEFK5ydgbPD75PN28L3 HJ12Xw0hhBBCOqvW
BDmOicICj4BgDDY7g93e1lNTwnxedUXnrgghhBAChH76ybmMv3k5fFOAw1/b Z3k2833VFQU6hBBC
yO8da7pPTWhzZXw/BoIxBhvXdHrqN3r8A0CnrgghhBDigzPICfWMEs97Pq6B bzrt9VsHOE50w0BC
CCGEeLHzoT9dnLHm510575oc8qXl7czn08vpkA4hHUtjYyM9/ZwQ8ptpzfOo GJxHcxxHcKxBPv/q
mnOLacTN74Ue6UilUohEItdLrVZjzJgx2L9/PwDgwoULXe5IUWFhIUQiEcxm 8zVdz7Fjx3D33Xcj
NjYWMpkM3bt3x9KlS1FZWQkA4DgOIpEISqUSdXV1Xsv37NkTUmnzXPPY2FiP vnK+3nzzzaDX2V5C
LXsoxo4di08++UQwzbUYl+55BhojwZQRAEaMGIGcnJyg8iSEkLZozZEcwDH5 mOMZbBz/2000DoJ7
TNMc6LRyv79x40YUFRWhqKgIp0+fxg033IAZM2bAYDC0uaAdUXx8PDZv3gy5 XH7N1rFz507ccsst
6NWrF/bu3YvS0lJs3rwZRUVFmDhxIjiOc6VufO4QAAAgAElEQVTVaDT48ssv PZY/ePAgqqqqvPL9
4IMPXH3lfC1ZsiTkdbaXUMrembTXGHFvh99i3BFCfp9aMycHAOyMwWLjm2/0 14GIfB7RaWWkExsb
i9TUVKSmpiIzMxMvv/wydDodLl265JX2+PHjGD16NDQaDTIyMvDpp5+6Ptu8 eTOysrKgUqmg1Wqx
ePFicBwHnufx7LPPQqvVIjw8HBMmTEBubm5QebrLy8tDYmIiZs+eDYVCgY8/ /tjvsvPmzcPTTz/t
WtZutyMhIQF79uxBZWUl5syZA6vVKrj+rKws1785jkNkZCT++te/uvLs06cP du7c6VVOxhgef/xx
PPfcc/jHP/6BAQMGIC4uDqNGjcKWLVswZswYjyMsc+bMwcaNGz3yWLduHWbP nu2Vd0xMjKuvnC+N
RhPSOv3Vt7CwEAkJCXjppZfQp08fJCYm4sknnwQvEOIHW/Z9+/ZhxIgRUCqV SEtLw3vvvef67Icf
fkD//v2hVqvxhz/8AUaj0fVZsGPDnVDfA/7HqbuWY0SojP7ymzFjBmprazFj xgx8+umnXnn6a5NQ
+8FfG7XcXl566SWv7cdfGVou+9FHHwluw4SQ64dvxfOoXKeprB0vwHHyiGmy xs9ly9ccYFPn/pGF
SiKRsJ9++sn1t8lkYitWrGBqtZrV1dWxnJwcBoAxxlhVVRWLjo5mb7/9NuM4 jp0+fZrFxcWxXbt2
scuXLzO5XM527tzJeJ5n58+fZ1FRUWzr1q1s69atrFevXqympobZbDa2aNEi du+99wbMs6VLly4x
AGz58uWspKSEXbp0ye+y27dvZ4mJicxutzPGGPvhhx9YWloa43meFRQUMADM ZDIJrn/ZsmXsgQce
YIwxduDAAaZSqdjEiRMZY4zl5eWxyMhIZrVavcp55swZBoBduXJFsO1tNhsD wH7++WemUqlYWVkZ
Y4wxi8XCkpKS2Pfff88kEokrvVarZZs3b/aZV7DrFKqvs12WL1/OeJ5nFRUV LDo6mn377bdtKvvV
q1eZWq1ma9asYRzHsWPHjrH4+Hi2bt06VlRUxNRqNduyZQuz2+1szZo1DAD7 +OOPBcvqPi5bEup7
oXHqnqf7GBEqo1B+zj7bv3+/V55CbRJKPwi1Ucvt5dixYx5/nzlzxm8ZWi67 du1av9swIeT64XnG
bBzv9bJyPLPavF8WG89MFjtrMHKszsAxXQPHahtsrLbexmrqbaymzsaqm15V eiur0ltZpd7KKnVW
VqGzsopaKytvepXVWFlpjZWVVltYifNVZWHFVRZWXGlhRZUWdrXSwq5WmNmV CjO7Um5mheVmVlhm
ZgVNr/xS/6+pc//Ilq85wLLGz2VtPqIzffp0aDQaaDQaqNVq/Otf/8L69esR ERHhkW7btm2Ij4/H
M888A4lEgqysLMyfPx8ffvghkpOTcfr0aUycOBFGoxFGoxGxsbGoqqqCWq1G WVkZPv74Y+Tl5eGD
Dz7Apk2bAubpzxNPPIHk5GTs2bPH77KTJk2CRCLBrl27AACfffYZHnroIa82 Elr/nXfe6Tpis3Pn
TixcuBC//PILrFYrvvvuO0yZMgUymcyrfCUlJQCAlJQU13v/9//+X1cbazQa rFq1yvVZTEwMJk+e
jC+++AIA8N133+Gmm25CdHS0V95z586FUql0vSZOnBjSOoNp7yeffBIikQjx 8fHIysrClStX/PZF
MGXfvHkzhgwZgkWLFkEikWD48OF46qmn8Mknn2Dbtm0YOnQoZs+eDbFYjEWL FmHw4MEB+0aIUN8L
jVN/hMrYmvwCtUko/RBMGzm3l6ioKI+/f/rpp4BlcKZNSUnxuw0TQq4P171y QkjP2ZlrwjLrQPNx
fPF9H51WBjoffPABRo8eDZFIhPDwcMTHx/tMV1JSgsuXL7t2mIDjtMDIkSMh lUqxdu1abNiwAYwx
DBo0CCaTCTzP47bbbsO7776LtWvX4oUXXkBqair+8pe/4MEHHxTM0x+tVhuw PGKxGA888AA2bNiA
0aNHY9u2bTh58mRIdRo1ahTsdjvOnj2LnTt34vXXX8fPP/+Mw4cP4/vvv8f8 +fN9ls/ZfsXFxUhL
SwMAPP/883j00UcBALNmzXKdvnCaN28e3n77bTz11FNYv349HnzwQZ95v/nm m7jttttcf4eFhYW0
zqqqqoDt7R7gSqVSwVNXwZS9rKwM6enpHu+lpaWhvLwcpaWlHsGZ8zNAuG+E CPW90Dj1R6iMrckv
UJs4BdMPwbSRc3tp+XcwZXCmFdqGCSG/PYbQni9l55nHox14BsdVTR31vBXa +YaBycnJyMzMDJgu
Pj4eQ4cOxZEjR1zvVVRUQCwWY+3atfj8889x6NAhdOvWDQAwcOBAAMDVq1cx fPhwPPLII2hoaMDq
1auxaNEizJkzRzDPtpQHAObPn4/Ro0dj3LhxGDRokM86CuUhFosxdepUbNu2 DefOncOoUaMwceJE
fPPNN/jll1/w+eef+yzX4MGDXfMd3nrrLQCOeVCxsbEA4PMo0PTp0/Hoo4/i 119/xaFDh7Bx40b8
+uuvXumSk5PRt2/fVq9TqL6tnXweqOwJCQke6wOAK1euIDExESkpKa4r/Jyc X7RCZQ10yba/vhca
p/4IlbE1+QHCbRIKoTbydTVca8sgtA0rlcqQykwIaTs+hLsec3bPicqOc/TX pFjtyj2mcbuPzrW9
DHzmzJnIycnB2rVrwfM8CgsLcfPNN+Ojjz6CXq+HTCZDZGQkeJ7Hhx9+iPPn z8NsNuOnn37C9OnT
kZ+fj/DwcMTExCAyMhJyuVwwz7aUBwD69euHXr164aWXXvJ79CVQHtOnT8c7 77yDkSNHQiaTYeLE
iVi1ahVGjBjh8SvanVgsxpo1a7Bq1So89NBD2L17N3Jzc/Hjjz/innvuwblz 57yCLpVKhVmzZuHB
Bx/EzJkzQ74yJ9h1tqW9/QlU9tmzZ+PEiRNYt24dGGM4c+YMVq5ciQULFmD2 7Nk4e/asK2jctGkT
jh49CiBw3wjx1/dC49QfoTIGyk8ul+Py5csek5cDtUko2tJGoZRBaBsmhPy2 gr2Rn/PZVC2Dmo50
CbkgX5OR73ro2ZAnMrWcjNxSy0mf+/btYyNGjGBqtZrFxsay5557jtntdqbT 6djUqVNZeHg4S09P
Z08//TR75JFH2COPPMI4jmN//OMfmVarZWFhYWzo0KGuCZpCebbknCBps9mC XnblypVMqVQyvV7v
es99UmigPOrr65lcLmevv/46Y4wxnU7HxGIxe+eddwK27ZkzZ9jcuXNZQkIC k0gkLDk5mc2fP5+d
O3eOMdY8offkyZOMMcZ27NjBALCDBw8yxhg7dOhQ0JORg12nUH1btgtjjE2c OJH985//9FpPqGX/
6aef2JAhQ5harWYZGRkeee7du5dlZWWx8PBwNm3aNDZhwgT28ccfC5ZVaDKy k6++Fxqn/iYjC5VR
KD/GGHvuueeYXC5nf//7373y9NcmofSDUBu13F58bT/+ytAybaBtmBDy27Dz jHF23vHyMQnZORHZ
ZLEzo9nODGY7M5gcr0aTndUbOaZvbH515MnIdz30rGsysihr/Fw2Y+7jOLP/ K2z7d/PN4wghhBDS
NTDWYl6Oj7NXLZ9zxVz/AVjTQzs9smCO9115ueXJmhJ6vO/xufM9t0vUW6Tz +NxPHv4888JLyLp5
Fv6zYZX7ZGT/CxBCCCGkcwpm8jHPHKe1/CXrDPNy3LnHNFKf7xJCCCGkS2AB 5uUEujNyZ5mA7MHX
Qz0pziGEEEK6lkAXWAXz+AfW6aIcP0d0WvNQT0IIIYR0TMw10cUb3zRnJ2CQ gw7yNPIQ+XmoJwU6
hBBCSFcgdLqJ54O/YWBnDHIAz5iGTl0RQgghXczvOcgB/E1GplNXhBBCSKfn 75SVnUdI0UtnnJvT
jI7oEEIIIV0O8zP5mHd7VlVw+XTmIMffZGSKdAghhJBOzfsmgAwhPKTcbz6d je85OtelKIQQQghp
Dy0PwrQ6yOnsUQ6u00M9CSGEEHJttDxlxRhDa5+/2QXiHLphICGEENJVMffn R7VCVwgH3GMat1NX
XaFqhBBCyO+L54M223CDP9Y1TlsBdMNAQgghpEtwf9J4m4Kcpjy6yjEPn5OR u0rlCCGEkN+bzn45
eLujU1eEEEJI5+Y6mtMOQU5Xi5P8nLq6LmUhhBBCSIiccUlbJx53Vb4nI1Ok QwghhHQOrsvJ6bvb
F99zdAghhBDS4bkeZdUOh3J+D2ESHdEhhBBCOpN2PFfVVU97+X4EBMU5hBBC SIfW1SYNXyt0w0BC
CCHk964LB03uMY20+V0RdCXHr0d5CCGEENKJiVr8/7oT+Qh0RCIgOmX4dSkP IYQQQkh7EYm+c/27
OdCBCJyl/roUiBBCCCGkvdANAwkhhBDSZfmcjEyRDiGEEEK6BJ+Xl1+XkhBC CCGEtC/3mIZuGEgI
IYSQLoVuGEgIIYSQLsv3HB06eUUIIYSQLsHnER0KdAghhBDS+dGpK0IIIYR0 WfSsK0IIIYR0WX6e
dRV8BvmntrVneQghhBBCAuoxeGZwCd1iGrdnXYV2RCfolRFCCCGEtFEoB1lE Ph/q2YqVrtlb3Iql
CCGEEEKC9+itqSGlpxsGEkIIIaTL8nnVFc1FJoQQQkiXQFddEUIIIaSr8nnV VUc7dbVkcj+/n63+
Kec3LAkhhBBCOhPfk5E7UJyzZHI/FB88iKov/gVOVwVWaYAoXg1pdBzi7l2M JZPHULBDCCGEEJ98
3zCwg0Q6ziCn9NVliGmwo2evUcia9wB69hqFmAY7Sl9dhuKDBwWP+HQkMokY SpnkeheDhID6jJBm
tD20zbVuP+of33we0ekI3IOcrAm3Q/nfy2B6dQVYYSlUAGLWrkfC/7yGM68u A5a/5nVkZ/rwNNQZ
rNiXU+aV990jM3ClugEn8qv9rj9KrcD9Y3ri/R3ZCFfJ8MDNvfCvnTmw88wr 7ayR6cgp1uNCqV6w
TvfcmIE958tQpjcGzLO1+qVE4abeCZBIxPhk90XY7LzPdO7rD1fJXXUNVbB1 76zc+yxUzrYprzO1
un2D7c9ABnaPwfAesfhkT67rvfhIFYZmxCIpOgxyqRhGC4crVY04drkKJivX qvX4MmVwN2TEh/v8
rKrejC2H89tlPRKxCIsn9cPWIwWoqDO1S55C3PcRviy9rT9yS+vw87kSj/dn jEhHQWU9zlypDXmd
rd3eZo1Mx9XqRsF9XjDasj201W81jlpaNLEvZBKx1/sNJhvW77/kcxlnP5Xo DB77+Zbtt2Ryf4+j
DZydR3WDGYcvVaJMF3obu+fva5sXEq1RYFRmPJKjwyBz2x8cyauExWYPuSz+ BNpurrUON0fH8tlW
xCuTwOsbgT17oFr+MozLliHstdeAPXvA6xsRr0yC5bOtwJgxHstmF+lw64Ak HLxY7hFIRGsUiItU
4sfTRUGXw2S1Y8fpYvCsbQGJUt4cS7ZXni0NStfi2OUq5JbVCX4pXqv1dzXu fXY9BNufgTDGPLaD
VK0aU4d0x5mrtTiaVwmTlUOESo5hPeJw1/A0bD6U325jY8/5Uhy44PiiGJEZ hzC5FHuzHT9A2jPI
74h6J0eisKoBlyvqr3dR2sX13B6u5zjada4UJbUGj/eC2T5a7md9td9PZ4pR rncE5hKxCIPTtbhj
cDes23cp5G3ePf+W23wg04Z0R26ZHodyK8DZeYQpZLipdzxu7Z+EHac7933y OvQcHcPJs0geMRAw
WGDc9g3Cxo1zBTmGr76FCAya7skoPXbWa9mCygaM7ZuIjPhw5JU372T6pUSh oKIBRovjF2vPhAgM
6xmHqDA5ODuPyxX12J9T7pGXSi7BbYNSHVE5Y+geq8HoPgkIV8pQWNUIqVu0 7y+/2wenQimT4I4h
3XDwYjlKdUaPPJOjwzC6TwJiNEqYrBxOFdbg7NVahKtkmD0qAzklevRIiIBC KsblinocuFCOltvZ
PTdmICpMgRGZcYgMk+PAhXK/5XGvU0txESrc3DcRMeEKmK12HLtciYuldQAg WHd3vqL2WSPTcaFE
j+Jag2Cd/K2/b3IUxvRNxOcH82CwcBjQLRpDM2LxxaF8yKVizLmxBwoqG6AN V0AiFuNiqR6nCmsC
1ik+UoWxfZo/O5pXidyyOtwxpJtHn10srWtz29zaPwlSiRg/n23+lT9vbCYO XqxAYVVDwP70N04i
w+SYNTIdZToj0uPCsTenDBdKmn/11xmtqDNaXX/f0i8JpwprcDSv0vWeyWrC 9tNFGNs3ESq5BAYL
57e+oYxLs80ONP0i5Ow8ODuPRrPNI43Q+Bfq11D4q8ukG1Jgstlx8IJjuxeJ gPm39saOMyUorTUI
9nkg2cU63No/CeV6IwwW30fJ/NUdEB5TrS2XUN8BwE29E9A3OQpisQiVdSbs yy6D3mj1uT3427+o
lVLB8eFvmxOqV6BxJLRt1TSaW71/ABxjuOWYdeevn9z3s7e1+A5w5t8y72OX q9A/NRqRYXJUN5j9
tnG4SuaxzYvFji9uZ/4tt3khIhGgkEmgkkthsdlhttlhsHD4+vgVj3RC7dTa 8Sg0/lO1aozpk4gI
lQylOiN4xlp1pEvk8xEQHeTyclN+EVR9+4IrKIH7hfD1r6x0/VuVkQxTvvfR GZ4x5JTo0Sc5yhXo
iMUi9E6Kwo4zjug0QiXHpBtS8N2vV1Fca0C0RuE6xKsz+B4gGqUMtw1Kxa5z pSiorEff5ChkJiYH
zO+Hk0V4eHwf/HiyyHXqyj3PqUO74+CFclwo1SM2XIVpQ7vBYrOjTG+ESi4F YwwbD+RBJZfi/jE9
cbW6EVeqGj3KtuVwAeaNzcSBixW4UtUgWJ7qBrPP+illEkwf1h0n8qvx1bEa xGiUmD4sDY1mDnVG
q9+6h8pfnSr0Jr/rv1CqR3p8OG7ul4TDuRW4qVcCvj95FRabHXKpGAqZBA1m G3afL4VCKsHdN2ag
0WxDcY3Bb541DWbcObQ7Dl+qRE6JDknRatw5tDsq60xefdYebZNbVodpQ7pD IhbBzjPER6ogl0lw
tbrRK23L/hQaJxV1JqjkUugMFhy4UA7O7hltVNSZcPiSI6jRahSIDJMju1jn tU47z1y/koXqW2+y
Bj0uAwk0/v31q/sPmECE6nKxtA4TBibjl4uOL+FuWg04O0NprUFwOX+Bi7vs Yj3CFFJMuCEF37T4
0ghUd+ePIV9jSqhcLY88+OKv78QiEdLjwvHZgTzYOB639E/CyMx47DhT7LU9 BNq/CG3j/rY5s83e
6noJbVtqpbRV+4dg2lLoO8Fdy/bzRSIWoX9qNGx2HvUmq2Ab1zZavLb5uTdn uvKXScWubT4QxoDt
p4swfkAy+qVEo6rehBKdEZfK6lDT9F0hNOZqGsytasNA43/K4G7Yfa4U+ZX1 6J0UhQkDk1sX6LT1
oZ7XkqpHN5gMDVBolAh/7lHX+yKNwvVvk6EBqh7dfC6fXazDvLGZUCukMFg4 ZMSFw2zjUNrU8AaL
DZsO5UNvsEAmEUMqFsNstTcNHt+BTnp8OKrrzchvOhSdU6LHwO4xAfMT0jMh AtUNZuQ0/QKvqjfh
7NVa9EmJcm0QZ686vpRMVg41jRaEK2V+83NqTXky4sNhstpx+orjl05NgxkX S/XolxKF8jqT37q3
hq86hcVL/a6/pNaAvdlluG90T0wfnoazRbUodRv0jAGnm36hWTg7LpTo0Ssp EjKJ2G+eV2saYbBw
ri/90loDvjpaAIOPOSrt0TZlOiPMNjvS4sKRX1GPXomRuFxeH9RhcKFx4pyT cvaqzuf8GhvHo7Ip
jbpp7Bgszb8ib+ydgIHdol1/H86tgJ1nfut7pOlIUGvGZSj1KtMb/fZrKIGO UN/9fK4EDEBKjBrF
NQb0SopEbpk+4HLHg5zvsud8Ke4b3ROD0rSufIKpu1wm8TumhMoVzJcz4Lvv 6ow2hCmk6JsShStV
jdibXep1hM4pmP2Lr3Uo4iR+t7nMhIhW1yvQttWa/YNznbcPSvXaRk8W1OBE fpXgd0Iwpg7p7spb
KhbDaOXw89kSWDkedl6ojS2uNg60zQejuMaAz/bnITkmDKlaDbpr1RicpsUv F8tx5mptwDHXmn4T
Gv9KuQQVepPrtK8zv1Zpj4d6XivqITegPucSerz8LDBuHOrnLkLE4gcQ/u1n qJ+7CABQX1YJ9ZAb
fC7faLahqMaA3slROFlQjX6pUThf1PwrljHHqaxeSZEAHJ0jlYgFT905gyZ3 DSZbq/MDgDCF1JWH
e55hbjsMK9c8GYxnLKjzi62qn1KGiDAZFk7o63pPJAIq60yCdW8NX3VSK6V+ 1w84dpj5FfUY0C3a
67Co1W73OKdttnIIk0sD1EnmdUi6qt730a72apvcsjpkJkagoLIePRMjgj7/ Hcw4CWbSoHOnqFHK
XPmdKqhGTtMXz5TB3SAWi6CUC/cF0LpxGWq9/PVrKIT6jjEgt1SPXomRKNeb kBEfjs2H8gMuFyyT
1Y7d58tw+6BUFNd4Hu0SqrvQmGqPcvnqu6KaRhy4UI5+KVG4sVc8DGYORy9X ItfHKYhg9i8+t3GB
ba6t9RLatlqzf3A6cKHc6wvb3LSttXW/uDe7FOV6ExgcwYl70BJMG7fHRGGV XIrIMDnK9UYU1xhQ
XGPAYQADu8Xgpj4JOF+sE97/tbLfhMa/RilDo8XzM6HTh0L8PNSzYwQ6YRMm onznfmDcODQ8shQi
pQwNn25COICIDR/C+NIrqDt1HolPLPGbx/liHW7qHY9LZXVIjArDT6ebz9/2 TYlCZmIEth4pcDXg
faN7CpbJYOaQFB3mWU6FtNX5AY4vnoRIlcd74SoZjG288qU15TFZOVTXm/Hl kQLXe45fDww9EyL9
1r0l1vQLRSwSCU7EC2X9gOPcfu9kx6/58QOSsO1YoesXp1wigVwqhpVz7Mwi wuRoMNsE80yLC4e6
RR2yusegTG9CVb3nRtpebZNbVoc5N/VAN60Gdp5HeZBXsLTXOKluMKPBZMMN 3WPwy8UKAI6dtnPH
7ewvofr6m5vVGoHq5a9fQ12H0Li6WFqHWaPSUaozoKbB7JrbILScQhZ8sHWl qgEXS/WYmJUKzu3L
VqjuQvuaQPVpLY1Shqp6My6UFEImFWNAajTG90/G5fJ6r4mtbdnf+dvm2lov oW2rNfsHJ4OF8zvf
RaifgiGUd2vbOFSx4UrcPjgVn+7NdbUPABTXGiAViyAWiwTbqUdCRKv6TWj8 m6x2aDVKj8/UCimq
PacyBsU9pnG7j07oGbW31T/lIOmeqUh87RWc7HcjqiurYNGoIOmdjuqtXyN/ 2hxc/Go7Ev+yHEn3
TPV708Cr1Q2QScQY3TsBeeX1sLj9wlBIxeAZg5WzQyRyRM4xGgUkYv8NkF9Z D61GiczECABAZmKE
q6MC5cfzDBFhcq8vifyKesRFKNE72RG1a8OVGNgtBhdL2nbJdmvqV1DZgGi1 An1ToiASwTXhrW9K
tGDdWzJaONh5hj7Jka7zzpEqecAyC61fKhZh4sBk/Jpfjd3nSqCSSzE4Pda1 rEgEjMqMh1gkgjZc
if6p0bhQohfM80pVIyJUcvRJdhwSTY4Ow6he8a5ffu591l5tozdYoGs046be CbhUFtykVqD9xglj
wJ7sUgzsFoOJA1OQEqNGVJgc3WM1uH1QKmI0CtQZbYL1bU+B6uWvX/1RNf0a dL7CFNKAddEZLKgz
WDEyM97jSGF7tsEvFysgFYs8xoVQ3YXG1LXqm25aNaYO6YYIlRw2jofFZoeF 413Br/v20Jr9CwDB
ba6t9RLatlqzf3BSyiQeY8r5EomEvxNa8vcd4E+obSyUf3J0GKLVCh9LASW1 BtQbrbhzWBq6aTWI
UMmQHB2GcQOSkF9RDxsn3Det7Teh8Z9XXoeEKBXS4xy3FOiREIGkaHVQ7daS z8nIHSLSgSPYWXLP
VACAcdfPKD12FqYr26FKS4F6yA1IfPhhwSAHcOzUs4t1GJkZjy2HCzw+yy7W IzlGjYdu6Q2zzY6C
ygZcKNFDq1HiarXv84pGC4cfTl7F2L6JGNc/GaU6o+uQplB+gOPXxrj+SQhT SJFX3rwR1pts+OFU
EW7qnYBb+iXBZLXjREE1csvqPCYth0qoPAWVvsNio4XDdyevYnTvBIztmwg7 z3ChRI9ThdVgDH7r
3pLNzmNfdhlG9orH2L6JyCuv97qqKNT1j+6TCI5nOFVYA54x7Mkuw51Du+Nq daPrEDkDsGBcb1g5
HkcuVbom+QrV6fuTVzG6TyJu6Z8Eo8WGXedLoTc4zn+799nJgup2aRvAcQRh bN9EbD8VfKAjNE4i
wwIHke6Kawz48nA+hmTEYnJWCpQyKYxWDsU1jdh8KB+1jRbBdtO0Yi5Oa+rl HP/++tWXO4Z4ztmr
N1rx2YE8v3Vxulhah9F9Ejy2TaHxGBnm+0vDH5udx86zJZg1Mj2ougP+x5RQ udriQqkeMeFKzL4x
A1KxCDqDFdtPFbmOmrpvD9lFupD3L4DjV7zQNtfWegltW6HuH5wmDPR90cW/ 9+YKfie01HJ/EojQ
PtzXpH+h/Ef3ScTV6kaPKy2deMbwzYkrGJkZj/EDk6GSS2Cy2pFXXodjeVUA An83tKbfAo3/n86U
YEyfBEzKSkFprQHVDSa/c8YEucU0oqzxc9mMuY/DWnYcf/3vh4NaPv/UNvQY PBNr9l676+zpWVck
kGt1A8ZrpUdCBIakaz0O9RJvna1fyfXna9uicdT5aJQyKGUSjyuE77kxA2eu 1uLWXuGu2CMYf/qf
jyFPGo7/bFjV8SYjO1EwQ7oKuVQMtVKGwelan5d3E0Jah7atriVMIcVdw9Pw 1ZEC1BosyIiPQLRa
gdJaIwDfd8j2p0PfMJCQriZKrcDMEY77YAR70zlCSGC0bXUtlXUmHL9chWnD 0qCUSaAzWPDjqeJW
XXnle45OB7nqipBgNZhs1+3ZKaGorOgx/QsAACAASURBVDP5vBs18a2z9Cu5 /oS2LRpHndOpwppW
3QXdWwe96ooQQgghpK3cYxq3QIciHUIIIYR0fu4xTXOgQ6euCCGEENIFtNuz rpbe1r89ykMIIYQQ
4hdnCf45dwA8Yho6dUUIIYSQLsXPqStCCCGEkM7PPaahIzqEEEII6VJ83jCw ox3SYQIPt6CgjBBC
CCF++bphYEe66ooxhuKDB1H1xb/A6arAKg0QxashjY5D3L2LkTpmDAU7hBBC CPFJ1JFvGOgMckpf
XYaYBjt69hqFrHkPoGevUYhpsKP01WUoPnhQ8IhPR9LY2Iiamva4yyP5rVCf kd8KjbXri9q/6+qw
Nwx0D3KyJtyOtLXroQLACkuhApC2dj2yJtzuN9iZNGkSli5d6jPv0aNH429/ +5vg+i9cuOBqh8LC
QohEIpjNZp9px44di08++SRgnUaMGIGcnJyg8mytDz/8EDExMQgLC4PBYPCb zn397nUNVbB176zc
+yxUzrZpS/sG25+BrFy5EomJiQCAmTNnQiQS+XwNHz681esIBcdxEIlEUCqV qKvzfi5Rz549IZVK
fSwZWDBjMlCfxMbG+myfN998s1VlCob7WHPvr2BkZ2dj5syZiImJgVwuR1pa Gh5//HHodO37cMu2
jGUh7TXOfWnN/llIe+07yW/H51VXHWWSjuWzrYhXJoHXNwJ79kC1/GUwkwWq 5S8De/aA1zciXpkE
y2dbvZZdsmQJPv/8c1gsFo/3s7Ozcfz4cSxcuDDocsTHx2Pz5s2Qy+Vtqk9V VVW759nS22+/jRUr
VqC4uBhqtdpvumu1/q7Gvc+uh2D7MxCpVAqZTAYA+Oijj1BUVISioiIsWLAA U6dOdf39/ffft1fR
g6LRaPDll196vHfw4MHr3u4A8MEHH7jaxflasmTJNVufe53d+ysYU6dORVZW Fo4cOYLCwkJ8+eWX
uHDhAh577LFrUdR2117jvC2CHXO07+yMOvCpK8PJs9B0TwYMFhi3fQMACHvt NWDPHhi++hYwWKDp
ngzDybNey86cORNKpRLbtm3zeP+jjz7CrFmzXL+WNm/ejKysLKhUKmi1Wixe vBgcx3ksU1lZiTlz
5sBqtQIAfvjhB/Tv3x9qtRp/+MMfYDQaXWn95TdjxgzU1tZixowZ+PTTT73y 3LdvH0aMGAGlUom0
tDS89957ABy/HhISEvDSSy+hT58+SExMxJNPPgme573qPGLECOTm5uLPf/4z VqxYIVielut3d/z4
cYwePRoajQYZGRn49NNPXZ8J1d2dr186Y8eOxYcffhiwTv7W/8knnyAyMhIl JSUAgPfffx/du3eH
TqdDYWEhYmJisHDhQowYMQI33HAD3njjjaDqdPToUYwePRrh4eFIT0/H+vXr AcCrz9qjbRYvXowH
H3zQ473MzEx8/fXXXml99ae/cZKXl4fExETMnj0bCoUCH3/8sdc6evfuDQDQ arVITU1Famoq1Go1
VCqV6+/4+HjBMralnX2ZM2cONm7c6PHeunXrMHv2bI/3/NUbEG73UMvjLiYm xtUuzpdGowEgvN/w
N56EytNyrLn3VyA8z0Ov16OyshIxMTFITk7G8OHDsWvXLnzxxRdBtUVr20mo X3766ScMHDgQarUa
06ZNw4wZM3weEWvPcQ60bjz42tZD3XfyPI9nn30WWq0W4eHhmDBhAnJzc4Nq R3JteXwVZY2fy5av
OcD++va/mM1cF9Tr4uF/M5u5jrU3nufZobg+rGH+k0x/yyymv+VuxvM843me 6W+52/VqmP8kOxTX
h/E875XHSy+9xKZMmeL622KxsLi4OLZ7927GGGOXL19mcrmc7dy5k/E8z86f P8+ioqLY1q1bWU5O
DgPAGGOsoKCAAWAmk4kVFRUxtVrNtmzZwux2O1uzZg0DwD7++GPB/BhjTKvV sv3793vlefXqVaZW
q9maNWsYx3Hs2LFjLD4+nq1bt86Vbvny5YzneVZRUcGio6PZt99+67Pdevbs yb755puA9XNfv3td
q6qqWHR0NHv77bcZx3Hs9OnTLC7u/7N37lFNXWn//wYQEpKoEIjcCqh4aatU kNQWsEVR60IdoPHS
F7X6Q2RstVo7jDNLxqr1bUeXDjO2dloEQcUqilLH6+uliqilqK1SR60iiiIg oOUmRATy/P5w5UxC
kpMLUNDZn7XOWpzbs5/b3uyc85xzXOnEiRO8trdFW6aGkJAQSklJ4bWJr30i oqioKIqMjKTr16+T
VCqlnJwcHX+uWLGCiIiqq6tp4MCBlJmZySvzwYMH5OTkRMnJydTa2konT54k oVBI169f14uZtb7R
9kVubi5JpVJSqVRERJSfn08ymYyePHliMp58eVJYWMj5tLS0lKqrq3Xk1NXV UX5+vp78+fPnk1Kp
1NnGp6O1fm5Lc3MzAaDvvvuORCIRlZeXE9HTPuru7k6HDh0iW1tbk3bz+Z1P H0P5qY1MJqOsrCyD
+/j6FV8+mfKPdq4Zi5cxjh49Sl5eXmRra0sKhYKWLFlCBQUF3H6+ti2Jm7bf TMVFIpFQVlYWtba2
0ubNm0kgENDatWsN6t9ReW5tPrT1vzVjZ3Z2Ng0YMIAePnxIzc3NFBcXR1On TjU7hgzz0Z57mLP8
b9JGWpZyhvxHxVC3e2GgqN8LUDXUQyARoueKBdx2gcSBW1QN9RD1e8Hg+fHx 8Thx4gTKysoAAPv2
7YOLiwvCwsIAAB4eHigoKEB4eDgaGxvR2NgIFxcX3kuYe/fuRWBgIJRKJWxs bBAXF4dhw4ZZLQ94
+sshICAAcXFxsLW1RVBQEBYuXKhzX3nBggUQCASQy+Xw9/fHnTt3TPrPWvvk cjkWL14MW1tb+Pv7
Y9asWUhNTeW13RoM2cTXPvD0dsL333+P8PBwfPDBB3jzzTc5eba2tkhISAAA 9O7dG7Gxsdi+fTuv
zEOHDsHT0xPx8fGwsbFBWFgYzpw5A3d3907xTWhoKGQyGQ4ePAgA2LFjB6ZO nWrWbQpz8mT+/Pnw
8PBA7969dc6VSqV49dVXTQfFDB2t8bMxnJ2dMXbsWO7Kw8GDB/H666/DycnJ LLv5/G6NPtrExMRA
KBRyS3h4OAD+fsWXT5boY0m8AGDs2LG4desWDh8+jFGjRuHIkSMICAjA+vXr TfrCWj/xxWX37t14
7bXXMHnyZNjY2GDWrFkIDQ01y5b25HlH5YM1Y6dYLEZ5eTnS09Nx8+ZNJCcn Y+fOnWbZzOhctOc0
Wu/R6R5THXHAUNRdK0S/5R8BYWGoi4lDz/gZkB74BnUxcQCAuvJKiAOGGjzf 29sbY8eORUZGBv70
pz8hNTVV5x67nZ0d0tLSsH37dhARXnnlFahUKoO3hTSUlZXB09NTZ5uPj4/V 8gCgvLwcvr6+ejLv
37/Prffs2VNHb1MyrdWntLQURUVFOgNIa2srXn31VV7brcGQTXztA0/vjyuV Snz99dd6t1ekUqnO
/X0XFxfcv3/fpE1eXl46coYPH25Q347wjUAgwPTp05GZmYno6Gjs2rULWVlZ Rn2kjTl5IpPJzJLF
hykdrfEzH9OnT0dSUhIWLlyIbdu26cWVz24+v1urj4Z169Zh3Lhx3LqjoyMA /n7Fl0/t1ccYFRUV
uHnzJkJCQjB27FiMHTsWa9aswZdffok//vGPmDdvHm/b1urFF5e7d+/q+cHb 29sse9qT5x2VD9aM
nePGjcP69euRlpaGP//5z/Dy8sInn3yil8+MLsDQCwO7yTwHjqPDcf/4aSAs DPWx70Eg7IH6rTsh
BdBzeyoaE1eg9tIVuM03XiA4b948LFmyBDExMTh79iwyMzO5fWlpacjMzERe Xh5eeOHpVaEhQ4bw
6uTp6YnTp0/rbNN0QGvkAUCfPn2Qn5+vs+3OnTsWPXVhCGv0kcvlCAwM1NGn oqICNjY22LVrl1Hb
22JrawsAaG5u5q4EmFPsx9c+AJw/fx7btm3DO++8g7i4OOTm5nL76urqUFdX x02gioqK4O3tzStz
//793BU/DevXr0dISIjeE0gd5ZsZM2YgMDAQR44cgVAoRHBwsEm/AJ2XJ5bq aI2f+Zg0aRLmzp2L
n376CXl5edixYwd++uknbj+f3Xz9kU8fcx4j9vDwwODBg/W28/UrV1dXo/lk rX9McenSJUyePBml
paU6Px7Cw8OhUqnw5MkT3rZ3795tlV58cenTpw8uX9atnSwtLTXrCnB78tza fGiLNWPn3bt3ERQU
hNjYWNTX1+Prr79GXFwcpkyZAqFQaFJ3Rudh+PHybnDzSiAQwH1yBNw+W4GL L76GB5VVaJKIYDvQ
Fw+y9+HWhCm4/u0RuH2yDO6TI4w+4hcREYGGhgYkJCRg2rRpOrP5mpoa9OjR A7169YJarUZqaiqu
XLnC+8i3UqnE5cuXuQnTzp07ce7cObPk2dvbo6ioSK9IValU4scff0RGRgaI CD///DM2bNiA2bNn
t8eFVtkXFRWFa9euIS0tDWq1GsXFxRg5ciQ2bdrEa3tbPDw84ODggC1btuDx 48dITk5GUVGRSZ35
2lepVHj33XexdOlSpKWloaKiQqcQVq1WIzExEc3NzSgoKMDGjRsRGxvLK3Pi xIm4ffs2tmzZAiLC
qVOnsHTpUq7oVDtmHeWbwYMH4+WXX8aSJUswffp0kz7R0Fl5YqmO1viZD5FI hOjoaMycORNRUVF6
T7Pw2c3nd2v1MQVfv+LLJ1P6GBsfAODUqVNGH30ODw9Hv3798NZbb+Ho0aO4 ffs2cnNzMXfuXCiV
SkilUt62rfUTX1ymTZuGvLw8rsg+Ozsbubm5Zvm3PXnennzQ9r81Y+exY8cw adIk3Lp1C1KpFM7O
zujVqxeXz3wxZHQuOnMaTTHy6vWpXV6MrEGtVlPprgNUOG8xXRoxhvLcXqRL I8ZQ4bzFVLrrgMEi
5LasWrWKAND58+d1tldXV1NERARJpVLy9fWlDz/8kGJjYyk2NtZoMTIR0alT p8jf35+kUilNmDCB
Ro8eTenp6bzyiIgSEhLI3t6eVq9erSfz2LFjFBAQQGKxmPr27UtffPGFwbaJ iMLDw7n9bdEu6uPT
x1hBHdHTYlSFQkFisZhcXFwoISGBWltbeW03RHp6Onl6epKjoyPFxsZSdHS0 TjGyMZuMtb9o0SIK
CAig5uZmIiI6efIkOTg4UEFBASfzgw8+ICcnJ/Lx8aGNGzeabVNgYCCJRCLq 168f7dy5kztPO2bW
+sZQ4ev69esJAFf0bAzteBIZzxNNkabGN+ZiqBiZT8f2+FkbTTHyxYsXiehp MS0AOnv2LBER5eXl
ccXIfHYT8eekMX3aU4xsqp/z5ROff9rmmjbDhw+nxMREo/pWVlZSfHw8eXp6 Uo8ePcjT05MWL15M
9fX1ZrVtbtza+o0vLvv37yc/Pz+SSCQ0ceJECgoKoqSkJIP6d2SeW5MPRLr+ t2bsbGlpoUWLFpFM
JiNHR0cKDAzkipuJTMeQYT6WFiOvXp/KFSML/EfFUGTM+xCrruMP8ZPNmind urQX/YZFwc6hp+mD
rYTYt64YJiguLkbfvn2hUqmeicvE2dnZWLNmjd4l+u6EIR2fNT8zuoZ79+7h wYMHOreqFAoFFi5c
yGpWGO2mpamOm3uYw9827kaDaBD+tf2f3evWlTbG3uLKJjmMZ43a2lpcvXoV a9euxdy5c7taHYM8
Czoyujfl5eUYOXIkLl++DLVajezsbFy9epV74pXB+C3p1t+6YjCeN27cuIHh w4fDzc2tU2prOoJn
QUdG90ahUGD58uUYP348xGIxVq1ahezsbK6wl8H4LdGe02g9dcVmOoxnC19f 32fi464KhQIqlaqr
1eCFT8dnxc+MrichIYF73xKD0ZUY/tYVm+cwGAwGg8F4Huiuj5czGAwGg8Fg tBdWo8NgMBgMBuO5
xfALA9lMh8FgMBgMxnOAwRodNs1hMBgMBoPxPKA9p9EqRmZTHQaDwWAwGM8B Bq/osIkOg8FgMBiM
5wDtOc1/3qPTJaoYh30CgsFgMBgMhjVozxK65QsDiQj3zp5F1a6NaKmuAlU2 QCAXw87JFa5T4+EV
EtKt9GUwGAwGg9F96NYvDNRMcspWLYVzfSv6DxgB/+kz0H/ACDjXt6Js1VLc O3v2mXlT66NHj/Dw
4cOuVoNhASxmDAbjv4nOHvO6ZEztri8M1J7k+I9+Cz5p2yACQMVlEAHwSdsG /9FvGZ3sjBkzBu+9
955B2cHBwfj000952//ll1+4WWBxcTEEAgEeP35s8NjQ0FBs3rzZpE0KhQLX rl0zS6a1pKamwtnZ
GY6OjmhoaDB6nHb72rZairm2P6tox8xSNL5pj3/NjacpNmzYADc3N51t58+f x9tvvw0XFxf06NED
3t7eeO+991BZWWl1O4aIiooy+lHeoKCgDmvn8ePHEAgE+OGHHzpMJh+m4ioQ CPDuu+/qbQ8LC8M/
/vEPq9psT387fPgwRo8eDalUCqFQiBEjRuDAgQNWyeoudKZN2n3vypUrZo3X v1Wut0UikRhs09fX
1+g5mlxq+7+o7ZhnZ2enI1MsFiMkJASnT5+2Sldt+YbGJT6uXr2KqCjzvliu Tbd+YWDTN9mQC92h
rnkE5ORAtGw5SNUE0bLlQE4O1DWPIBe6o+mbbL1z582bh8zMTDQ1Nelsv3r1 Ki5cuIA5c+aYrYdc
LkdWVhbs7e3bZU9VVVWHy2xLUlISVq5ciXv37kEsFhs9rrPaf97QjllXYG48 TWFnZ4cePXpw68eP
H8cbb7yBAQMG4NSpUygrK0NWVhZKSkoQHh6OlpaWjlAfALBp0yaUlJSgpKQE s2fPRkREBLd+6NCh
DmunO5KRkYGsrKyuVgPp6el4++23MXHiRBQUFKCwsBD/8z//A6VSif3793e1 elbR2TZp972+ffua
NV52Za5v3ryZa0uzmDPpb/u/wNCYt2PHDk5mQUEBhg4disjISKt+fGnLbzsu mSIiIgL+/v4Wt9mt
XxjYcPEyJN4eQEMTGvc+TVzHzz4DcnLQ8O0BoKEJEm8PNFy8rHduVFQUhEIh 9u7dq7N906ZNiI6O
5maRWVlZ8Pf3h0gkgkwmQ3x8vN4gX1lZiSlTpuDJkycAnv6KeOmllyAWi/HO O++gsbGRO9aYvMjI
SPz666+IjIzE1q1b9WTm5uZCoVBAKBTCx8cHn3/+OYCnV1769OmDxMREDBo0 CG5ubliwYAHUarWe
zQqFAjdu3MDHH3+MlStX8urTtn1tLly4gODgYEgkEvTt2xdbt27l9vHZro2h X7uhoaFITU01aZOx
9jdv3oxevXqhtLQUAPDVV1/B29sb1dXVKC4uhrOzM+bMmQOFQoGhQ4di7dq1 Ztl07tw5BAcHQyqV
wtfXF9u2bQMAvZh1hG/i4+Mxc+ZMnW1+fn7Yt2+f3rGG4mksT27evAk3Nzco lUo4ODggPT1dr42B
AwcCeHq19P3330dCQgLWrFmDl19+Ga6urhgxYgR2796NkJAQ7qqOMXstyUuZ TAYvLy94eXlBLBZD
JBJx63K5nNcuU3G1BGO2TJ8+HR9++CF3XGtrK/r06YOcnBze88whPj4ev//9 77mcNYQx2wH+nDJX
L5VKhT/84Q9ISkrCRx99hH79+uGFF17Ahx9+iOXLl+Onn34yqUtxcTHkcjkW LVqEgQMHwtXVFatX
r8ann36KIUOGQC6XIykpyeJjTbVpLMc6yiZj8tv2vbbj5bFjxzBkyBCIxWJM mDABkZGRWLdunclc
5+v/7RnDAN1+plm0r5YYyyVt2wyNeQDg4uLCyfTz88Py5ctRXV2NwsJCAMb/ z7QdlwQCgY587XHJ
FGq1GjU1NVZdcdb5X+Q/KoaWpZyhLzdtp+bHtWYt13/YQs2Pa6mjUavVlOc6 iOpnLaCaN6Kp5o23
Sa1Wk1qtppo33uaW+lkLKM91EKnVaj0ZiYmJNH78eG69qamJXF1d6eTJk0RE VFRURPb29nT8+HFS
q9V05coV6t27N2VnZ9O1a9cIABER3b59mwCQSqWikpISEovFtHv3bmptbaWU lBQCQOnp6bzyiIhk
MhmdPn1aT+bdu3dJLBZTSkoKtbS00Pnz50kul1NGRgZ33LJly0itVlNFRQU5 OTnRgQMHDPqtf//+
tH//fpP2abevbWtVVRU5OTlRUlIStbS0UEFBAbm6utKJEyd4bW+LtkwNISEh lJKSwmsTX/tERFFR
URQZGUnXr18nqVRKOTk5Ov5csWIFERFVV1fTwIEDKTMzk1fmgwcPyMnJiZKT k6m1tZVOnjxJQqGQ
rl+/rhcza32j7Yvc3FySSqWkUqmIiCg/P59kMhk9efLEZDz58qSwsJDzaWlp KVVXV+vIqauro/z8
fCIi+vnnnwkA3blzx2CbGvjstTQvNcyfP5+USqXONnPy31Bc26JSqQgA5eXl WWTLkSNHyM3NjVpb
W4mI6PDhw+Tj40NqtZr3PEM5rg0AOn/+PP3ud7+j8PBwbox688036e9//7tJ 2/lyylQ/0ebEiRME
gGpr+cdpS+Jw8OBBAkB/+ctfiIjozJkzZGdnR3V1dRYda+3Y15E2Gcth7b7X 9n+ARCKhrKwsam1t
pc2bN5NAIKC1a9fqtG0o1/n6v7VjGBGRWCzmdDUEXy5p20akO+YREdna2tKx Y8e4dZVKRStXriSx
WEy1tbW8/2cMjUva8rXHJXM4evQoeXl56cw9zFm+3LSdlqWcIf9RMcRNdP6Z tqNbTHQujRhDlZNn
UW3E/5D6xAluolMb8T/cUjl5Fl0aMcbgROfOnTtkb29PpaWlRESUlZVFL774 Irdf80+eiOjRo0d0
/vx58vPzo+TkZKMTnS+++IJGjhyp086wYcMoPT2dVx6R8YnO3/72NwoNDdWR +b//+78UHh7OHVdR
UcHte/PNN+nLL7806Dftzsmnj7GJTkpKCg0aNEhHZkJCAsXExPDa3hZzJjqG bOJrn4iooqKCXF1d
ycvLi5YuXcodc/v2bbK1taVHjx5x21avXk2/+93veGVu3bqVhgwZorPvwoUL VFdXR0S6MbPWN9q+
UKvV5OvrS7t37yYiog8//JDee+89Pf9p0I4nX55oBpT79+8blaXh8OHDBIBa Wlq4bUuWLCGxWMwt
pmJhaV5qMDT4m8p/Y3FtC99Eh8+W1tZW8vT05AbzGTNm0LJly0yeZ+5Ep7Ky kvr06UN/+9vfiEh3
osNnO19Omeon2mRlZZGjo6NRPTWYMw5pxtKHDx8SALp16xYRPf0RCYBu3rxp 0bHWjn0daZOxHDY2
0fn73/9OY8aM0ZE5cuRIsyY6fP3f2jGM6OlERygU6vRhsVhMn3zyCRERby6Z M9HRlm1jY0Oenp70
7bffEhH//xlD41Jb+Zby5MkTiyc6/0zbwU10ut3j5eKAoai7Voh+yz8CwsJQ FxOHnvEzID3wDepi
4gAAdeWVEAcMNXi+t7c3xo4di4yMDPzpT39Camoq5s2bx+23s7NDWloatm/f DiLCK6+8ApVKZfDy
u4aysjJ4enrqbPPx8bFaHgCUl5frFY35+Pjg/v373HrPnj119DYl01p9SktL UVRUhN69e3PbWltb
8eqrr/Labg2GbOJrH3h6P1mpVOLrr7/WuwQslUp16lhcXFxw//59kzZ5eXnp yBk+fLhBfTvCNwKB
ANOnT0dmZiaio6Oxa9cus2s4zMkTmUxmUo7mdtG9e/c4Hf/4xz9i7ty5AIDo 6Gg8efIEVVVVvLEA
rMtLS+0yFldL4IudjY0NZsyYge3btyM4OBh79+7FxYsXTZ5nLq6urkhNTcWU KVMwduxYnX18tvPl
lCV6ubm5obGxEbW1tejVq5fOvtraWhARevfubVZ+OTs7AwBsbJ5WOohEIp11 0nooxJxjrR37OtIm
S3P47t27emOGt7c37zkaTPV/a8YwDZ9//jlGjRql054mBu0du5OTkxEcHAyB QACpVMqNIYB5/2fM
GZdMUVFRgZs3byIkJAQtTSqLzu3W37pyHB2O2tL7QFgY6mPfg0DYA/VbdwI5 Oei5PRV2fb1QW1EF
x9HhRmXMmzcPW7ZsQUlJCc6ePavzFERaWhoyMzORl5eH0tJSHDp0SCeRDOHp 6Yl79+7pbNN0Gmvk
AUCfPn1w584dnW137tyxqBrdENboI5fLERgYiJqaGm65efMmMjMzeW1vi62t LQCgubmZ22ZOYS9f
+8DTJ4W2bduGd955B3FxcTqdqa6uDnV1ddx6UVERvL29eWW6urqirKxMR4f1 69fjwoULneabGTNm
4ODBgzhy5AiEQiGCg4NN+gXouDwZNmyYXi2Ii4sL/Pz84OfnxxUHmopFR2HK LmNxtQRTtsyaNQvf
fvstdu/ejVdeeQV+fn5mnWcuEydOxKxZszB9+nSdByT4bOfLKUv0evXVVyGT ybBjxw69fZ999hlC
Q0NN6tJZWNtmV9rUp08fvbjw1WC1ha//WzOGaXB3d+f6sGbRTHQsGZ8M4eHh AT8/P/Tv319nkgNY
/3/PUi5duoTx48fr+Mdcuu23rgQCAdwnR8DtsxW4+OJreFBZhSaJCLYDffEg ex9uTZiC698egdsn
y+A+OcLoVaiIiAg0NDQgISEB06ZN0wlATU0NevTogV69ekGtViM1NRVXrlzh fYRQqVTi8uXLXILt
3LkT586dM0uevb09ioqK9IpUlUolfvzxR2RkZICI8PPPP2PDhg2YPXt2e1xo lX1RUVG4du0a0tLS
oFarUVxcjJEjR2LTpk28trfFw8MDDg4O2LJlCx4/fozk5GQUFRWZ1JmvfZVK hXfffRdLly5FWloa
KioqdIr11Go1EhMT0dzcjIKCAmzcuBGxsbG8MidOnIjbt29jy5YtICKcOnUK S5cuhUQiAaAbs47y
zeDBg/Hyyy9jyZIlmD59ukmfaOioPLGxsUFKSgr++c9/4t1338XJkydx48YN /N///R8mT56Mf//7
3/Dz8+O1tyMxZZexuBqjqqoKvWJN4AAAIABJREFU9+7d45b79++btOXFF1/E gAEDkJiYiFmzZnGy
OtIHf/vb3/D48WOdJ2H4bOfLKUv0sre3x+rVq/GHP/wB69evx507d1BSUoI1 a9bgH//4B/7617+a
FYfOwNo2u9KmadOmIS8vj3uAIDs7G7m5uWafz9f/rRnDNDx8+FAn7zWLWq22 aHwy9n/KGJb+n+GT
f+rUKaOv8wgPD0e/fv3w1ltvmaWXDoaKkZO37OzyGh0NarWaSncdoMJ5i+nS iDGU5/YiXRoxhgrn
LabSXQcM1ua0ZdWqVdz9cm2qq6spIiKCpFIp+fr60ocffkixsbEUGxtrtEaH iOjUqVPk7+9PUqmU
JkyYQKNHj6b09HReeURP76na29vT6tWr9WQeO3aMAgICSCwWU9++femLL74w 2DYRcffvDaF9X5lP
H2M1OkRPC+YUCgWJxWJycXGhhIQErlDTmO2GSE9PJ09PT3J0dKTY2FiKjo7W qdExZpOx9hctWkQB
AQHU3NxMREQnT54kBwcHKigo4GR+8MEH5OTkRD4+PrRx40azbQoMDCSRSET9 +vWjnTt3cudpx8xa
3xiq5Vi/fj0B4IqejaEdTyLjeaK5F67xjTn8/PPPFBMTQ3369CFbW1vy8PCg WbNm0b///W+TfrM0
LzUYqlvgs8tUXLXR1Oi0Xfr3789ri4YNGzaQUCikmpoaHbnGzjO3Rkeb/Px8 srOz42p0+Gwn4u9v
puxpS2ZmJikUChIKheTg4ECvv/46HT58WOcYc8eh6upqAkDl5eVERNTc3EwA qLCw0KJjLWmTSD/H
OtKmtvKN1egQEe3fv5/8/PxIIpHQxIkTKSgoiJKSknTaNZbrRIb7f3vGMLFY bDD3tf1uLJfa2tZ2
zGtbjNwWvv8zhsaltvK1GT58OCUmJhptq7KykuLj4y2u0UnespOr0RH4j4qh yJj38YJ9Gf7fNPNm
Tbcu7UW/YVGwc+hp+mArIfatK4YJiouL0bdvX6hUKgiFwq5WxyTZ2dlYs2YN 8vPzu1qVbs2zFlfG
88+9e/fw4MEDDBs2jNumUCiwcOFCvbpBYxjq/yzXzaelqY6be5hD+s4jKHni gX9t/2f3e2GgBmNv
mmSTHMazRm1tLa5evYq1a9dyxb8MBuPZoby8HCNHjsTly5ehVquRnZ2Nq1ev IiwszOS5rP93DQZf
GNjtZjoMxnPCjRs3MHz4cLi5uXVq7QODwegcFAoFli9fjvHjx0MsFmPVqlXI zs7GCy+8YPJc1v+7
CK05zX8eL+8STRgM6/H19X0mPu6qUCigUln2aOR/M89KXBn/XSQkJCAhIcHi 8/j6P8v1zsPgU1fs
lhCDwWAwGIznAcPv0WETHQaDwWAwGM8BBic6DAaDwWAwGM8b7IoOg8FgMBiM 5wojt666RBcGg8Fg
MBiMDsXg4+UC9twVg8FgMBiM5wDtOY3We3S6QhUGg8FgMBiMDkZrTvOf9+h0 s3tX7BMQDAaDwWAw
rEHQ3V8YSES4d/YsqnZtREt1FaiyAQK5GHZOrnCdGg+vkBA22WEwGAwGg2GQ bv3CQM0kp2zVUjjX
t6L/gBHwnz4D/QeMgHN9K8pWLcW9s2efmbdJPnr0CA8fPuxqNRgWwGLG+K1g uda1MP8/vxh+j043
mOhoT3L8R78Fn7RtEAGg4jKIAPikbYP/6LeMTnbGjBmD9957z6Ds4OBgfPrp p7zt//LLL5xziouL
IRAI8PjxY4PHhoaGYvPmzSZtUigUuHbtmlkyrSU1NRXOzs5wdHREQ0OD0eO0 29e21VLMtf1ZRTtm
lqLxTXv8a248TbFhwwa4ubkBAKKioox+JDcoKMjqNiyhpaUFAoEAQqEQtbW1 evv79+8POzs7A2ea
xpycNBUTFxcXg/5Zt26dVTqZg3auacfLHK5evYqoqCg4OzvD3t4ePj4+eP/9 91FdXd2hOrYnl/no
qDw3hDXjMx8dNXYyfkMMPl7eJZro0/RNNuRCd6hrHgE5ORAtWw5SNUG0bDmQ kwN1zSPIhe5o+iZb
79x58+YhMzMTTU1NOtuvXr2KCxcuYM6cOWbrIZfLkZWVBXt7+3bZU1VV1eEy 25KUlISVK1fi3r17
EIvFRo/rrPafN7Rj1hWYG09T2NnZoUePHgCATZs2oaSkBCUlJZg9ezYiIiK4 9UOHDnWU6mYhkUiw
Z88enW1nz57tcr8DQHJyMucXzTJv3rxOa0/bZu14mUNERAT8/f2Rn5+P4uJi 7NmzB7/88gt+//vf
d4aqHU5H5Xl7MDfn2Nj57NGtb101XLwMibcH0NCExr37AQCOn30G5OSg4dsD QEMTJN4eaLh4We/c
qKgoCIVC7N27V2f7pk2bEB0dzf1aysrKgr+/P0QiEWQyGeLj49HS0qJzTmVl JaZMmYInT54AAA4f
PoyXXnoJYrEY77zzDhobG7ljjcmLjIzEr7/+isjISGzdulVPZm5uLhQKBYRC IXx8fPD5558DePrr
oU+fPkhMTMSgQYPg5uaGBQsWQK1W69msUChw48YNfPzxx1i5ciWvPm3b1+bC hQsIDg6GRCJB3759
sXXrVm4fn+3aGPqlExoaitTUVJM2GWt/8+bN6NWrF0pLSwEAX331Fby9vVFd XY3i4mI4Oztjzpw5
UCgUGDp0KNauXWuWTefOnUNwcDCkUil8fX2xbds2ANCLWUf4Jj4+HjNnztTZ 5ufnh3379ukdayie
xvLk5s2bcHNzg1KphIODA9LT0/XaGDhwIABAJpPBy8sLXl5eEIvFEIlE3Lpc LufVsT1+NsSUKVOw
Y8cOnW0ZGRlQKpU624zZDfD73VJ9tHF2dub8olkkEgkA/nHDWD7x6dM217Tj ZQq1Wo2amhpUVlbC
2dkZHh4eCAoKwokTJ7Br1y6zfGGtn/jicuzYMQwZMgRisRgTJkxAZGSkwSti HZnngHX5YKivWzp2
qtVqfPTRR5DJZJBKpRg9ejRu3Lhhlh8ZnYvO/yL/UTG0LOUM7dizn5of15q1 XP9hCzU/rqWORq1W
U57rIKqftYBq3oimmjfeJrVaTWq1mmreeJtb6mctoDzXQaRWq/VkJCYm0vjx 47n1pqYmcnV1pZMn
TxIRUVFREdnb29Px48dJrVbTlStXqHfv3pSdnU3Xrl0jAEREdPv2bQJAKpWK SkpKSCwW0+7du6m1
tZVSUlIIAKWnp/PKIyKSyWR0+vRpPZl3794lsVhMKSkp1NLSQufPnye5XE4Z GRncccuWLSO1Wk0V
FRXk5OREBw4cMOi3/v370/79+03ap92+tq1VVVXk5ORESUlJ1NLSQgUFBeTq 6konTpzgtb0t2jI1
hISEUEpKCq9NfO0TEUVFRVFkZCRdv36dpFIp5eTk6PhzxYoVRERUXV1NAwcO pMzMTF6ZDx48ICcn
J0pOTqbW1lY6efIkCYVCun79ul7MrPWNti9yc3NJKpWSSqUiIqL8/HySyWT0 5MkTk/Hky5PCwkLO
p6WlpVRdXa0jp66ujvLz8/Xkz58/n5RKpc42Ph2t9XNbmpubCQB99913JBKJ qLy8nIie9lF3d3c6
dOgQ2dramrSbz+98+hjKT21kMhllZWUZ3MfXr/jyyZR/tHPNWLyMcfToUfLy 8iJbW1tSKBS0ZMkS
Kigo4PbztW1J3LT9ZiouEomEsrKyqLW1lTZv3kwCgYDWrl1rUP+OynNr86Gt /60ZO7Ozs2nAgAH0
8OFDam5upri4OJo6darZMWSYj/bcw5xlx579tCzlDPmPiiGtb111jys6on4v QNVQD4FEiJ4rFnDb
BRIHblE11EPU7wWD58fHx+PEiRMoKysDAOzbtw8uLi4ICwsDAHh4eKCgoADh 4eFobGxEY2MjXFxc
eC9h7t27F4GBgVAqlbCxsUFcXByGDRtmtTzg6S+HgIAAxMXFwdbWFkFBQVi4 cKHOfeUFCxZAIBBA
LpfD398fd+7cMek/a+2Ty+VYvHgxbG1t4e/vj1mzZiE1NZXXdmswZBNf+8DT 2wnff/89wsPD8cEH
H+DNN9/k5Nna2iIhIQEA0Lt3b8TGxmL79u28Mg8dOgRPT0/Ex8fDxsYGYWFh OHPmDNzd3TvFN6Gh
oZDJZDh48CAAYMeOHZg6dapZtynMyZP58+fDw8MDvXv31jlXKpXi1VdfNR0U M3S0xs/GcHZ2xtix
Y7krDwcPHsTrr78OJycns+zm87s1+mgTExMDoVDILeHh4QD4+xVfPlmijyXx AoCxY8fi1q1bOHz4
MEaNGoUjR44gICAA69evN+kLa/3EF5fdu3fjtddew+TJk2FjY4NZs2YhNDTU LFvak+cdlQ/WjJ1i
sRjl5eVIT0/HzZs3kZycjJ07d5plM6OzMfR4efeY50AcMBR11wrRb/lHQFgY 6mLi0DN+BqQHvkFd
TBwAoK68EuKAoQbP9/b2xtixY5GRkYE//elPSE1N1bnHbmdnh7S0NGzfvh1E hFdeeQUqlcrgbSEN
ZWVl8PT01Nnm4+NjtTwAKC8vh6+vr57M+/fvc+s9e/bU0duUTGv1KS0tRVFR kc4A0traildffZXX
dmswZBNf+8DT++NKpRJff/213u0VqVSqc3/fxcUF9+/fN2mTl5eXjpzhw4cb 1LcjfCMQCDB9+nRk
ZmYiOjoau3btQlZWllEfaWNOnshkMrNk8WFKR2v8zMf06dORlJSEhQsXYtu2 bXpx5bObz+/W6qNh
3bp1GDduHLfu6OgIgL9f8eVTe/UxRkVFBW7evImQkBCMHTsWY8eOxZo1a/Dl l1/ij3/8I+bNm8fb
trV68cXl7t27en7w9vY2y5725HlH5YM1Y+e4ceOwfv16pKWl4c9//jO8vLzw ySef6OUz47dHe07T
7V4Y6Dg6HPePnwbCwlAf+x4Ewh6o37oTUgA9t6eiMXEFai9dgdt84wWC8+bN w5IlSxATE4OzZ88i
MzOT25eWlobMzEzk5eXhhReeXhUaMmQIr06enp44ffq0zjZNB7RGHgD06dMH +fn5Otvu3Llj0VMX
hrBGH7lcjsDAQB19KioqYGNjg127dhm1vS22trYAgObmZu5KgDnFfnztA8D5 8+exbds2vPPOO4iL
i0Nubi63r66uDnV1ddwEqqioCN7e3rwy9+/fz13x07B+/XqEhIToPYHUUb6Z MWMGAgMDceTIEQiF
QgQHB5v0C9B5eWKpjtb4mY9JkyZh7ty5+Omnn5CXl4cdO3bgp59+4vbz2c3X H/n0MecxYg8PDwwe
PFhvO1+/cnV1NZpP1vrHFJcuXcLkyZNRWlqq8+MhPDwcKpUKT5484W179+7d VunFF5c+ffrg8mXd
2snS0lKzrgC3J8+tzYe2WDN23r17F0FBQYiNjUV9fT2+/vprxMXFYcqUKRAK hSZ1Z3Qe3fajngKB
AO6TI+D22QpcfPE1PKisQpNEBNuBvniQvQ+3JkzB9W+PwO2TZXCfHGF0chYR EYGGhgYkJCRg2rRp
OrP5mpoa9OjRA7169YJarUZqaiquXLnC+8i3UqnE5cuXuQnTzp07ce7cObPk 2dvbo6ioSK9IValU
4scff0RGRgaICD///DM2bNiA2bNnt8eFVtkXFRWFa9euIS0tDWq1GsXFxRg5 ciQ2bdrEa3tbPDw8
4ODggC1btuDx48dITk5GUVGRSZ352lepVHj33XexdOlSpKWloaKiQqcQVq1W IzExEc3NzSgoKMDG
jRsRGxvLK3PixIm4ffs2tmzZAiLCqVOnsHTpUq7oVDtmHeWbwYMH4+WXX8aS JUswffp0kz7R0Fl5
YqmO1viZD5FIhOjoaMycORNRUVF6T7Pw2c3nd2v1MQVfv+LLJ1P6GBsfAODU qVNGH30ODw9Hv379
8NZbb+Ho0aO4ffs2cnNzMXfuXCiVSkilUt62rfUTX1ymTZuGvLw8rsg+Ozsb ubm5Zvm3PXnennzQ
9r81Y+exY8cwadIk3Lp1C1KpFM7OzujVqxeXz3wxZHQuOtMDTTFy1t5DXV6M rEGtVlPprgNUOG8x
XRoxhvLcXqRLI8ZQ4bzFVLrrgMEi5LasWrWKAND58+d1tldXV1NERARJpVLy 9fWlDz/8kGJjYyk2
NtZoMTIR0alTp8jf35+kUilNmDCBRo8eTenp6bzyiIgSEhLI3t6eVq9erSfz 2LFjFBAQQGKxmPr2
7UtffPGFwbaJiMLDw7n9bdEu6uPTx1hBHdHTYlSFQkFisZhcXFwoISGBWltb eW03RHp6Onl6epKj
oyPFxsZSdHS0TjGyMZuMtb9o0SIKCAig5uZmIiI6efIkOTg4UEFBASfzgw8+ ICcnJ/Lx8aGNGzea
bVNgYCCJRCLq168f7dy5kztPO2bW+sZQ4ev69esJAFf0bAzteBIZzxNNkabG N+ZiqBiZT8f2+Fkb
TTHyxYsXiehpMS0AOnv2LBER5eXlccXIfHYT8eekMX3aU4xsqp/z5ROff9rm mjbDhw+nxMREo/pW
VlZSfHw8eXp6Uo8ePcjT05MWL15M9fX1ZrVtbtza+o0vLvv37yc/Pz+SSCQ0 ceJECgoKoqSkJIP6
d2SeW5MPRLr+t2bsbGlpoUWLFpFMJiNHR0cKDAzkipuJTMeQYT6WFiNn7T3E FSML/EfFUGTM+/CX
1yPqLfMup9+6tBf9hkXBzqGn6YOthNi3rhgmKC4uRt++faFSqZ6Jy8TZ2dlY s2aN3iX67oQhHZ81
PzO6hnv37uHBgwc6t6oUCgUWLlzIalYY7aalqY6be5jD3iPf4+dKKf61/Z/d 69aVNsbe4somOYxn
jdraWly9ehVr167F3Llzu1odgzwLOjK6N+Xl5Rg5ciQuX74MtVqN7OxsXL16 lXvilcH4LdGeKmi9
GZlNIBiMzuDGjRsYPnw43NzcOqW2piN4FnRkdG8UCgWWL1+O8ePHQywWY9Wq VcjOzuYKexmM3xJB
d368nMEwF19f32fi464KhQIqlaqr1eCFT8dnxc+MrichIYF73xKD0ZUYvKLD ZjoMBoPBYDCeC7rz
Rz0ZDAaDwWAw2kO3/qgng8FgMBgMRnvoti8MZDAYDAaDwWgvhmt02M0rBoPB YDAYzwUGr+iwiQ6D
wWAwGIxnH3brisFgMBgMxnOL4a+Xd7NbV+wTEAwGg8FgMKzB4AsDu9M8h4hw 7+xZVO3aiJbqKlBl
AwRyMeycXOE6NR5eISFsssNgMBgMBsMwBj8B0U0mDppJTtmqpXCub0X/ASPg P30G+g8YAef6VpSt
Wop7Z8+yN7V2Mx49eoSHDx+yNruZ3GdNBwbDWrpb/nY3fdrS3fVrL4ZrdLpE FV20Jzn+o9+CT9o2
iABQcRlEAHzStsF/9FtGJztRUVFGPwQaFBSE4uJiCAQCPH78uEvss4SO1DU0 NBSbN282uC81NRXO
zs5wdHREQ0OD1W0oFApcu3bN6vPNYcOGDXBzc/tN22yLdpstLS0QCAQQCoWo ra3VO7Z///6ws7PT
225KrilcXFwM5vi6devMN6SdOphL25hZAl9uass11e9/Cx4/fgyBQIAffvhB b5+5fdmSPt+RudcW
vvFCwy+//ML747izcpQP7fxtT951hj5tuXnzJgQCAVpaWn5jrf5DV4yfvyXd +oWBTd9kQy50h7rm
EZCTA9Gy5SBVE0TLlgM5OVDXPIJc6I6mb7L1zt20aRNKSkpQUlKC2bNnIyIi gls/dOhQF1hjPXK5
HFlZWbC3t+/UdpKSkrBy5Urcu3cPYrHYajlVVVUdqJVh7Ozs0KNHj9+0zbYY alMikWDPnj06286e
PWuRfpbakpyczOW2Zpk3b55FMtqrgzm0jZkl8OWmttzu3u87sy93RO51Fp2R o3xo29yevOsoukMM
+Oju+rUXg1d0usUlHQANFy9D4u0BNDShce9+AIDjZ58BOTlo+PYA0NAEibcH Gi5e1jtXJpPBy8sL
Xl5eEIvFEIlE3LpcLueOW7duHeRyOXr27ImFCxdyV4YuXLiA4OBgSCQS9O3b F1u3bjWo482bN+Hm
5galUgkHBwekp6fznnvo0CG89NJLcHV1xZQpUzBp0iSkpqYa/FUUGhqK1NRU VFZWYsqUKXjy5InF
7R0+fBgvvfQSxGIx3nnnHTQ2Nhq0Q6FQ4MaNG/j444+xcuVKkz7IysqCv78/ RCIRZDIZ4uPj0dLS
gsjISPz666+IjIzE1q1bee2y1BZt/Pz8MHDgQADQa5NPP0NtHjt2DEOGDIFY LMaECRMQGRnJ/do0
po+hNgFgypQp2LFjh46uGRkZUCqVOtsskWvMFg3Ozs5cbmsWiUTS7WKoHTND 5ObmQqFQQCgUwsfH
B59//jkAw7lpLBdM9fv4+HjMnDlT7/x9+/ahuLgYzs7OmDNnDhQKBYYOHYq1 a9eajJklaPfl4uJi
9OnTB4mJiRg0aBDc3NywYMECqNVqnXNaWloQHR2NMWPG8H4Q1tzcM+ZngH+8 aI/9fDnKl9/nzp1D
cHAwpFIpfH19sW3bNpP6tM1fvrwrLi6GXC7HokWLMHDgQLi6umL16tX49NNP MWTIEMjlciQlJQEw
fOVK0w/UajU++ugjyGQySKVSjB49Gjdu3DCojzGWL18OmUwGNzc3fPbZZxb7 nU8HS/z1XKIdNv9R
MbQs5Qz93/Ecan5ca9Zy/Yct1Py4ljoatVpNea6DqH7WAqp5I5pq3nib1Go1 qdVqqnnjbW6pn7WA
8lwHkVqtNipr/vz5pFQqdbbdvn2bANDMmTPp4cOHdPHiRZJIJHTw4EGqqqoi JycnSkpKopaWFioo
KCBXV1c6ceKEnuzCwkICQMuWLaPS0lIqLCw0eu7du3dJLBbTgQMHiIhoy5Yt JBAIKCUlha5du0YA
dGSHhIRQSkoKp6tKpbKovZKSEhKLxbR7925qbW2llJQUAkDp6ekG/dS/f3/a v38/ERGvD4qKisje
3p6OHz9OarWarly5Qr1796bs7GwiIpLJZHT69GkiIl67LLGlLXV1dZSfn8+t a7fJp1/bNi9fvkwS
iYSysrKotbWVNm/eTAKBgNauXWsyD7TbbG5uJgD03XffkUgkovLyciIiampq Ind3dzp06BDZ2tqa
9K0ltmiOzcrKMhjP7hbDtjHTRtM3UlJSqKWlhc6fP09yuZwyMjL0ctNULmgw 1O9zc3NJKpWSSqUi
IqL8/HySyWT05MkTrp+tWLGCiIiqq6tp4MCBlJmZadGYoFKpCADl5eXp7dPu y5q/ly1bRmq1mioq
KsjJyYkOHDjA7Xv06BFNmzaNxo0bR42NjQbttyT3+PzMN17w2W8oP7Thy1G+ PHzw4AE5OTlRcnIy
tba20smTJ0koFNL169ct6kN8edc25gcPHiQA9Je//IWIiM6cOUN2dnZUV1fH 2w+ys7NpwIAB9PDh
Q2pubqa4uDiaOnWqjg80+rRF04dmz55NKpWK/v3vf5NcLqesrCyL8o5PB0v8 9SygPfcwZ/m/4zm0
LOUM+Y+KoW5360rU7wWoGuohkAjRc8UCbrtA4sAtqoZ6iPq9YHUbf/3rX+Hs 7Ixhw4YhKCgIRUVF
2Lt3L+RyORYvXgxbW1v4+/tj1qxZSE1NNSpn/vz58PDwQE5OjtFz9+3bh2HD hmHChAkAgHfffReB
gYFW6W1Oe3v37kVgYCCUSiVsbGwQFxeHYcOGmSWfzwceHh4oKChAeHg4Ghsb 0djYCBcXF6svf5pj
S1ukUileffVVg/LM0U/T5vHjx/Haa69h8uTJsLGxwaxZsxAaGmrSB8ZwdnbG 2LFjsWvXLgDAwYMH
8frrr8PJycks31pjS0xMDIRCIbeEh4ebbKcrYsgXs6ysLAQEBCAuLg62trYI CgrCwoULTdaHAPy5
0JbQ0FDIZDIcPHgQALBjxw5MnTqVu7Vha2uLhIQEAEDv3r0RGxuL7du3W5UL 5rJgwQIIBALI5XL4
+/vjzp073L45c+bgxx9/xL/+9S+IRCJeOebkHp+f+caL9tpvLEf58vDQoUPw 9PREfHw8bGxsEBYW
hjNnzsDd3d0ifczJj7lz5wIAXnvtNQBAbGwsgKdXE1taWlBZWcl7vlgsRnl5 OdLT03Hz5k0kJydj
586dZvkGAGxsbJCUlAShUIiXX34Zc+bMsTjv+HTozPx9FtCe0/znPTrdY54D ccBQ1F0rRL/lHwFh
YaiLiUPP+BmQHvgGdTFxAIC68kqIA4Za3YZMJuP+dnBwQGtrK0pLS1FUVITe vXtz+1pbW3k7i0YO
37n379+Hu7u7znm+vr7t0puvvbKyMnh6euqc5+PjY5Z8Prl2dnZIS0vD9u3b QUR45ZVXoFKp9C65
d6QtlmCOfpo27969Cy8vL53zvb2926XP9OnTkZSUhIULF2Lbtm16t0oskWuO LevWrcO4ceO4dUdH
R5PtdLcYlpeX6/UFHx8f3L9/3yp9jCEQCDB9+nRkZmYiOjoau3btQlZWFrdf KpXq1AC5uLjg/v37
HZabhujZsyf3t52dnU4MysrKUF5ejry8PIwaNcqkLFO5x+dnvvGivfYby1G+ PCwrK9Prm8OHD+8Q
fdri7OwM4OmEAwA3qdSsk4kne8eNG4f169cjLS0Nf/7zn+Hl5YVPPvlEz//G 6NWrl86E1NvbGzk5
ORbZyadDZ+bvs4DBFwZ2lyIdx9HhuH/8NBAWhvrY9yAQ9kD91p2QAui5PRWN iStQe+kK3OZ3bFGb
XC5HYGAg8vPzuW0VFRVc0lt77p49e3D06FGd4zUDua2tLQCgubmZ+3Vpzq9r vvZ27dqF06dPG2yv
PXLT0tKQmZmJvLw8vPDC06tpQ4YMMSjHErva43dtLNGvT58+uHxZt8artLQU w4YNs1qfSZMmYe7c
ufjpp5+Ql5eHHTt24KeffrLKTnNs8fDwwODBg/XOfZZi2KdPH51zAODOnTud 8rTMjBkzEBgYiCNH
jkAoFCI4OJjbV1dXh7q6Om7yUVRUBG9v7w7LTUs5cOAAvv76a8TFxeHy5cvc BMEYpnKPz8+enp5G
xws++815LNlYjvLloavxqn66AAAgAElEQVSrK8rKynSOX79+PUJCQrokHnz9 4O7duwgKCkJsbCzq
6+u5mE2ZMgVCodCk7Pr6ejx58oQrUq+oqICHh4dFdvLp0FX5233opp+AEAgE cJ8cAbfPVuDii6/h
QWUVmiQi2A70xYPsfbg1YQquf3sEbp8sg/vkiA693RYVFYVr164hLS0NarUa xcXFGDlyJDZt2tSu
c5VKJQoLC5GRkQEiwp49e/D9998DeDoQODg4YMuWLXj8+DGSk5NRVFTU7vYu X76MzMxMAMDOnTtx
7ty5dvugpqYGPXr0QK9evaBWq5GamoorV65wj8La29ujqKgIjY2NFtnVHr9r t2lKP22mTZuGvLw8
7Nu3DwCQnZ2N3Nxcs/TRblMbkUiE6OhozJw5E1FRUXpP2Fgi1xJbLPFnd4uh UqnEjz/+yPWNn3/+
GRs2bMDs2bNN2mkpgwcPxssvv4wlS5Zg+vTpOvvUajUSExPR3NyMgoICbNy4 EbGxsVbZVVVVhXv3
7nGLNVen7O3t8dFHH0EikWDp0qUmjzeVe3x+5hsv2tM3+eDLw4kTJ+L27dvY smULiAinTp3C0qVL
IZFIrO6b7YGvHxw7dgyTJk3CrVu3IJVK4ezsjF69enH+N6VPS0sLvvzySwBP JyDp6en4f//v/1nk
dz4dusJf3QmBoWLk4zmnu7wYWYNarabSXQeocN5iujRiDOW5vUiXRoyhwnmL qXTXAd4iZA18xcia
okQiorfeeov+/ve/E9HTokWFQkFisZhcXFwoISGBWltb9WRrCsmam5u5bXzn 5uXl0bBhw0gikdCk
SZNo6NChlJKSQkRE6enp5OnpSY6OjhQbG0vR0dFGi5HNbe/UqVPk7+9PUqmU JkyYQKNHjzarGJlP
bnV1NUVERJBUKiVfX1/68MMPKTY2lmJjY4mIKCEhgezt7Wn16tW8dllqCx/a bfLpZ6jN/fv3k5+f
H0kkEpo4cSIFBQVRUlKSSX2029QUhF68eJGIiI4ePUoA6OzZs1zcNQWhlsg1 5Wu+Qs9nLYbHjh2j
gIAAEovF1LdvX/riiy+4fXzFyMYw1O81rF+/ngDQ9evXuW2afvbBBx+Qk5MT +fj40MaNGy22S1OM
3Hbp37+/wWJk7TEoPDycvvjiC719P/zwA9nZ2XH5pI2lucfnZ77xwpj97SlG NpWHp06dosDAQBKJ
RNSvXz/auXOnWfFom7/GaOvn6upqAsAVdGt8W1hYSETG+0FLSwstWrSIZDIZ OTo6UmBgoE5xL58+
hYWFJJVKae7cuRQQEECDBg2ir776yiw7tTGlQ0f4q7tgaTHy8ZzTXDGywH9U DEXGvI+wAYQ3XvM3
a6Z069Je9BsWBTuHnqYPthJ6jr91FRoaitmzZyMuLq6rVfmv5N69e3jw4IFO kbZCocDChQvNvr/O
ePbIzs7GmjVrdC7lFxcXo2/fvlCpVGbdbmAwGF1DS1MdN/cwh9wffkZOoQD/ 2v5P7ffodK/Jg7E3
nT7rkxxG11NeXo6RI0fi8uXLUKvVyM7OxtWrVxEWFtbVqjE6gdraWly9ehVr 167lnrRhMBjPOd35
qSsGo7NRKBRYvnw5xo8fj19//RWDBw9GdnY2VxjJeL64ceMG3njjDYwfP75T 6n8YDEb3w+BTV4Ju
8tTVfwNnzpzpahX+60lISODencJ4vlEoFEbfLuzr68s+EMxgPIc8ndM87dvd 7oWBDAaDwWAwGO2h
W3/risFgMBgMBqNdaM1p/nNFh810GAwGg8FgPAcIuusLAxkMBoPBYDDai8Dg FR0202EwGAwGg/Ec
YLhGh8FgMBgMBuM5g13RYTAYDAaD8VwheBZeGPg8fwKCwWAwGAxG52H4hYHd aPJARLh39iyqdm1E
S3UVqLIBArkYdk6ucJ0aD6+QkG6lL4PBYDAYjO6DwRqd7vJ4uWaSU7ZqKZzr W9F/wAj4T5+B/gNG
wLm+FWWrluLe2bPPzNtMHz16hIcPH3a1GgwLYDFjPK+w3O5amP9/Oww+Xt4d 5jnakxz/0W/BJ20b
RACouAwiAD5p2+A/+i2jk50xY8bgvffeMyg7ODgYn376KW/7v/zyCzcLLC4u hkAgwOPHjw0eGxoa
is2bN5u0SaFQ4Nq1a2bJtJbU1FQ4OzvD0dERDQ0NRo/Tbl/bVksx1/ZnFe2Y WYrGN+3xr7nxNMWG
DRvg5uYGAIiKijL6kdygoCCr27CEx48fQyAQ4IcfftDbZ27fsKQPtbS0QCAQ QCgUora2Vm9///79
YWdnZ+BM05jTB0zlgIuLi8F4rFu3ziqdzEE7t7XzwxyuXr2KqKgoODs7w97e Hj4+Pnj//fdRXV3d
oTq2p+/w0VH9yhDW/D/go6PG6v9quvPj5U3fZEMudIe65hGQkwPRsuUgVRNE y5YDOTlQ1zyCXOiO
pm+y9c6dN28eMjMz0dTUpLP96tWruHDhAubMmWO2HnK5HFlZWbC3t2+XPVVV VR0usy1JSUlYuXIl
7t27B7FYbPS4zmr/eUM7Zl2BufE0hZ2dHXr06AEA2LRpE0pKSlBSUoLZs2cj IiKCWz906FBHqW41
nZmbEokEe/bs0dl29uzZLo8zACQnJ3Nx0Czz5s3rtPa0bdbOD3OIiIiAv78/ 8vPzUVxcjD179uCX
X37B73//+85QtcPpqH7VHszNOTZWtx8jt666Bw0XL0Pi7QE0NKFx734AgONn nwE5OWj49gDQ0ASJ
twcaLl7WOzcqKgpCoRB79+7V2b5p0yZER0dzv16ysrLg7+8PkUgEmUyG+Ph4 tLS06JxTWVmJKVOm
4MmTJwCAw4cP46WXXoJYLMY777yDxsZG7lhj8iIjI/Hrr78iMjISW7du1ZOZ m5sLhUIBoVAIHx8f
fP755wCezub79OmDxMREDBo0CG5ubliwYAHUarWezQqFAjdu3MDHH3+MlStX 8urTtn1tLly4gODg
YEgkEvTt2xdbt27l9vHZro2hXx6hoaFITU01aZOx9jdv3oxevXqhtLQUAPDV V1/B29sb1dXVKC4u
hrOzM+bMmQOFQoGhQ4di7dq1Ztl07tw5BAcHQyqVwtfXF9u2bQMAvZh1hG/i 4+Mxc+ZMnW1+fn7Y
t2+f3rGG4mksT27evAk3NzcolUo4ODggPT1dr42BAwcCAGQyGby8vODl5QWx WAyRSMSty+VyXh3b
42dz0c5Nc/O/paUF0dHRGDNmjNGPdgLAlClTsGPHDp1tGRkZUCqVOtuM+Rng j3N77Hd2dubioFkk
EgkA/nHKWP7y6dM2t7XzwxRqtRo1NTWorKyEs7MzPDw8EBQUhBMnTmDXrl1m +cJaP/HF5dixYxgy
ZAjEYjEmTJiAyMhIg1fEOrJfAdblg6GxxdKxWq1W46OPPoJMJoNUKsXo0aNx 48YNs/z434bOfyL/
UTG0LOUMnbvwIzU/rjVruf7DFmp+XEsdjVqtpjzXQVQ/awHVvBFNNW+8TWq1 mtRqNdW88Ta31M9a
QHmug0itVuvJSExMpPHjx3PrTU1N5OrqSidPniQioqKiIrK3t6fjx4+TWq2m K1euUO/evSk7O5uu
XbtGAIiI6Pbt2wSAVCoVlZSUkFgspt27d1NrayulpKQQAEpPT+eVR0Qkk8no 9OnTejLv3r1LYrGY
UlJSqKWlhc6fP09yuZwyMjK445YtW0ZqtZoqKirIycmJDhw4YNBv/fv3p/37 95u0T7t9bVurqqrI
ycmJkpKSqKWlhQoKCsjV1ZVOnDjBa3tbtGVqCAkJoZSUFF6b+NonIoqKiqLI yEi6fv06SaVSysnJ
0fHnihUriIiourqaBg4cSJmZmbwyHzx4QE5OTpScnEytra108uRJEgqFdP36 db2YWesbbV/k5uaS
VCollUpFRET5+fkkk8noyZMnJuPJlyeFhYWcT0tLS6m6ulpHTl1dHeXn5+vJ nz9/PimVSp1tfDpa
6+e2qFQqAkB5eXl6+7Rzky9XNPsePXpE06ZNo3HjxlFjY6NBPzY3NxMA+u67 70gkElF5eTkRPR0T
3N3d6dChQ2Rra2vSz3xx5rPfUH/QRiaTUVZWlsF9fP2YL39NxUM7t43lhzGO Hj1KXl5eZGtrSwqF
gpYsWUIFBQXcfr62LckTbb+ZiotEIqGsrCxqbW2lzZs3k0AgoLVr1xrUv6P6 lbX50Nb/1ozV2dnZ
NGDAAHr48CE1NzdTXFwcTZ061ewYPstozz3MWc5d+JGWpZwh/1Ex1K1qdABA 1O8FqBrqIZAI0XPF
Am67QOLALaqGeoj6vWDw/Pj4eJw4cQJlZWUAgH379sHFxQVhYWEAAA8PDxQU FCA8PByNjY1obGyE
i4sL7yXFvXv3IjAwEEqlEjY2NoiLi8OwYcOslgc8nckHBAQgLi4Otra2CAoK wsKFC3Xu8y5YsAAC
gQByuRz+/v64c+eOSf9Za59cLsfixYtha2sLf39/zJo1C6mpqby2W4Mhm/ja B55e3v/+++8RHh6O
Dz74AG+++SYnz9bWFgkJCQCA3r17IzY2Ftu3b+eVeejQIXh6eiI+Ph42NjYI CwvDmTNn4O7u3im+
CQ0NhUwmw8GDBwEAO3bswNSpU826bWBOnsyfPx8eHh7o3bu3zrlSqRSvvvr/ 2bvvsKiuPG7g3wFE
2qj0KmDvKAiJsWRVRH0tEcSSYF1E18REo0tMXo0xZTebrK77ujGb2CCWKIIS Y8saE7vBEiuxiyJS
BRsqo5Q57x+GyQzMXGYGELx+P88zz8PMvff0e/x577kzL1TdKUaU0Zx2ri6p 8T9p0iQcP34c33//
PWxtbSXTcXJyQlhYmObKw/bt2/HSSy/B0dFRs49UO0v1c3XrHxUVBRsbG80r NDQUgPR5LDV+TSmP
KeMDAMLCwnD16lX88MMP6NOnD3bu3InAwEAsXry4yrYwt52k+mXjxo3o1q0b RowYAQsLC0yYMAE9
e/Y0qi7VOa9qajyYM1fb29sjJycH8fHxuHLlCpYuXYoNGzYYVefnjt7Hy+tJ pGMf2AmF5y+j+fxZ
QO/eKIyKQaMpY6Hc9i0Ko2IAAIU5N2Ef2Env8b6+vggLC8OaNWvw7rvvYsWK FTr3vK2srBAXF4d1
69ZBCIHOnTtDpVLpvS1ULjs7G97e3jqf+fn5mZ0eAOTk5MDf379Smrm5uZr3 jRo10il3VWmaW56s
rCykpaXpnNBlZWV44YUXJOtuDn11ksofeHK/OjIyEl9//XWl2ytKpVLnfruL iwtyc3OrrJOPj49O
Ol27dtVb3ppoG4VCgTFjxiAhIQERERFITExEUlKSwTbSZsw4cXZ2NiotKVWV 0Zx2ri6p8Z+dnY2c
nBykpKSgT58+VaY1ZswYLFq0CNOnT8fatWsrjSOpdpbq5+rWf+HChejfv7/m vZ2dnaa+hs5jqfFb
W/2Rl5eHK1euoEePHggLC0NYWBg+//xzfPnll3jnnXcwdepUybzNLZdUv2Rk ZFRqB19fX6PqU53z
qqbGgzlzdf/+/bF48WLExcXhvffeg4+PDz7++ONK45l0Y5p694WBdn1DkfvT AaB3b9yPfh0Kmwa4
v3oDlAAarVuBorkf4t6ps/CYZnjB3tSpUzF79mxERUXh0KFDSEhI0GyLi4tD QkICUlJS0LTpk6tC
HTt2lCyTt7c3Dhw4oPNZ+QlhTnoA4O7ujiNHjuh8dv36dZOegtDHnPK4ubkh KChIpzx5eXmwsLBA
YmKiwbpXZGlpCQAoKSnRXAkwZvGdVP4AcOzYMaxduxavvvoqYmJisH//fs22 wsJCFBYWav5RTEtL
g6+vr2SaW7du1VzxK7d48WL06NGj0hNINdU2Y8eORVBQEHbu3AkbGxt07969 ynYBam+cmFpGc9q5
Nm3btg1ff/01YmJikJqaqgkQDBk6dCgmT56MEydOICUlBevXr8eJEyc026Xa Wer8l6q/MY8Re3l5
oW3btpU+lzqPXV1dDY7f2uqPU6dOYcSIEcjKytIJQENDQ6FSqVBcXCyZ98aN G80ql1S/uLu7IzVV
d61mVlaWUVecq3NemTseKjJnrs7IyEBwcDCio6Nx//59zTkwcuRI2NjYVFn2 50m9/VFPhUIBzxGD
4PHphzjZrhsKbubjsYMtLFv7oyB5C64OHomL3+2Ex8fz4DlikMEyDxo0CA8f PkRsbCxGjx6tE13f
vXsXDRo0QOPGjaFWq7FixQqcPXtW8nHVyMhIpKamagKmDRs24OjRo0alZ21t jbS0tEqLVCMjI3H8
+HGsWbMGQgicOXMGS5YswcSJE6vThGbVLzw8HOfPn0dcXBzUajXS09PRq1cv rFy5UrLuFXl5eaFh
w4ZYtWoVHj16hKVLlyItLa3KMkvlr1KpMH78eMyZMwdxcXHIy8vTWQirVqsx d+5clJSU4PTp01i2
bBmio6Ml0xwyZAiuXbuGVatWQQiBffv2Yc6cOZpFoNp9VlNt07ZtW3To0AGz Z8/GmDFjqmyTcrU1
TkwtozntbEh+fj4yMzM1L0PBoRRra2vMmjULDg4OmDNnTpX729raIiIiAuPG jUN4eHilp1mk2lmq
n82pvzGkzmOp8VtVeQzNRwCwb98+g48+h4aGonnz5hgwYAB+/PFHXLt2Dfv3 78fkyZMRGRkJpVIp
mbe57STVL6NHj0ZKSopmUX9ycjL2799vVPtW57yqznjQbn9z5updu3Zh6NCh uHr1KpRKJZycnNC4
cWPNeJbqw+eNTnxQvhj5+MlTdb4YuZxarRZZidvE5akzxakX+4kUj3bi1Iv9 xOWpM0VW4ja9i5Ar
+uSTTwQAcezYMZ3P79y5IwYNGiSUSqXw9/cXb7/9toiOjhbR0dEGFyMLIcS+ fftEQECAUCqVYvDg
waJv374iPj5eMj0hhIiNjRXW1tbis88+q5Tmrl27RGBgoLC3txfNmjUTX3zx hd68hRAiNDRUs70i
7UV2UuUxtMBNiCeLUUNCQoS9vb1wcXERsbGxoqysTLLu+sTHxwtvb29hZ2cn oqOjRUREhM5iZEN1
MpT/jBkzRGBgoCgpKRFCCLFnzx7RsGFDcfr0aU2ab731lnB0dBR+fn5i2bJl RtcpKChI2NraiubN
m4sNGzZojtPuM3PbRt9C1MWLFwsAmkXPhmj3pxCGx0n5osnytjGWvsXIUmWs TjtrK1+MXPHVokUL
vYuR9Y2VitsOHz4srKysxKFDhyrlV74Y+eTJk0KIJ4tpAWj2TUlJ0SxGFsJw OwshfQ4Yqn91FiNX
Na9IjV+p/qg4trV17dpVzJ0712B5b968KaZMmSK8vb1FgwYNhLe3t5g5c6a4 f/++UXkbO04qtptU
v2zdulW0bNlSODg4iCFDhojg4GCxaNEiveWvyfPKnPEghG77mzNXl5aWihkz ZghnZ2dhZ2cngoKC
NIubhai6D59lpi5GPn7ylGYxsiKgT5QYFvUGIkIc0KltM6MipaunNqN5l3BY NWxU9c5mEvytK6pC
eno6mjVrBpVK9Uxctk1OTsbnn39e6ZJ5faKvjM9aO9PzITMzEwUFBTq3qkJC QjB9+nSuWZGh0seF
mtjDGKkXruG7Yw/w/br/1q9bV9oMfYtrfSsnUVXu3buHc+fOYcGCBZg8eXJd F0evZ6GMRNpycnLQ
q1cvpKamQq1WIzk5GefOndM8YUvPt3r9hYFEcnPp0iV07doVHh4etbK2piY8 C2Uk0hYSEoL58+dj
4MCBsLe3xyeffILk5GTNwl56vmnHNH/80AuvlNAzxt/f/5n4cdeQkBDJb+6t D6TK+Ky0Mz1/YmNj
Nd/vRKRD7xUdxjlEREQkA/ofL+fNKyIiIpIB7ZiGV3SIiIhIVvRe0WGkQ0RE RLKg/6krBjpERET0
7OOtKyIiIpKtevtbV0RERETVpR3TWEnsV6f4ExBERERUXZpApz4FD0IIZB46 hPzEZSi9kw9x8yEU
bvawcnSF66gp8OnRo16Vl4iIiOoP/T8BUU/ihvIgJ/uTOXC6X4YWrV5EwJix aNHqRTjdL0P2J3OQ
eegQv6m1nnnw4AFu3brFPOtZus9aGYjMVd/Gb30rT0X1vXzVVW+/MFA7yAno OwB+cWthC0CkZ8MW
gF/cWgT0HWAw2AkPDzf4Q6DBwcFIT0+HQqHAo0eP6qR+pqjJsvbs2RPffPON 3m0rVqyAk5MT7Ozs
8PDhQ7PzCAkJwfnz580+3hhLliyBh4fHU82zIu08S0tLoVAoYGNjg3v37lXa t0WLFrCyMu7usCl1
cXFx0TvGFy5caHxFqlkGY1XsM1NIjU3tdKs675+GR48eQaFQ4PDhw5W2GXsu m3LO1+TYq0hqvih3
4cIFyavqtTVGpWiP3+qMu9ooT0VXrlyBQqFAaWnpUy7VH+pi/nya9D51VQ/i HADA42+T4WbjCfXd
B8DevbCdNx9C9Ri28+YDe/dCffcB3Gw88fjb5ErHrly5Ejdu3MCNGzcwceJE DBo0SPN+x44ddVAb
87m5uSEpKQnW1ta1ms+iRYvw0UcfITMzE/b29mank5+fX4Ol0s/KygoNGjR4 qnlWpC9PBwcHbNq0
SeezQ4cOmVQ+U+uydOlSzdguf02dOtWkNKpbBmNU7DNTSI1N7XTr+3lfm+dy TYy92lIbY1SKdp2r
M+5qSn3oAyn1vXzVVp+funp4MhUOvl7Aw8co2rwVAGD36afA3r14+N024OFj OPh64eHJ1ErHOjs7
w8fHBz4+PrC3t4etra3mvZubm2a/hQsXws3NDY0aNcL06dM1V4Z+/fVXdO/e HQ4ODmjWrBlWr16t
t4xXrlyBh4cHIiMj0bBhQ8THx0seu2PHDrRv3x6urq4YOXIkhg4dihUrVuj9 X1HPnj2xYsUK3Lx5
EyNHjkRxcbHJ+f3www9o37497O3t8eqrr6KoqEhvPUJCQnDp0iV88MEH+Oij j6psg6SkJAQEBMDW
1hbOzs6YMmUKSktLMWzYMNy+fRvDhg3D6tWrJetlal20tWzZEq1btwaASnlK lU9fnrt27ULHjh1h
b2+PwYMHY9iwYZr/bRoqj748AWDkyJFYv369TlnXrFmDyMhInc9MSddQXco5 OTlpxnb5y8HBod71
oXaf6bN//36EhITAxsYGfn5++M9//gNA/9g0NBaqOu+nTJmCcePGVTp+y5Yt SE9Ph5OTEyZNmoSQ
kBB06tQJCxYsqLLPTKF9Lqenp8Pd3R1z585FmzZt4OHhgTfffBNqtVrnmNLS UkRERKBfv36SPwhr
7Ngz1M6A9HxRnfpLjVGp8X306FF0794dSqUS/v7+WLt2bZXlqTh+pcZdeno6 3NzcMGPGDLRu3Rqu
rq747LPP8Pe//x0dO3aEm5sbFi1aBED/lavy80CtVmPWrFlwdnaGUqlE3759 cenSJb3lMWT+/Plw
dnaGh4cHPv30U5PbXaoMprSXHOn0W0CfKDFv+UFx+fIlUfLonlGvi4dXiZJH 90RNU6vVIsW1jbg/
4U1x9+UIcffl4UKtVgu1Wi3uvjxc87o/4U2R4tpGqNVqg2lNmzZNREZG6nx2 7do1AUCMGzdO3Lp1
S5w8eVI4ODiI7du3i/z8fOHo6CgWLVokSktLxenTp4Wrq6vYvXt3pbQvX74s AIh58+aJrKwscfny
ZYPHZmRkCHt7e7Ft2zYhhBCrVq0SCoVCLF++XJw/f14A0Em7R48eYvny5Zqy qlQqk/K7ceOGsLe3
Fxs3bhRlZWVi+fLlAoCIj4/X204tWrQQW7duFUIIyTZIS0sT1tbW4qeffhJq tVqcPXtWNGnSRCQn
JwshhHB2dhYHDhwQQgjJeplSl4oKCwvFkSNHNO+185QqX8U8U1NThYODg0hK ShJlZWXim2++EQqF
QixYsKDKcaCdZ0lJiQAgfv75Z2FraytycnKEEEI8fvxYeHp6ih07dghLS8sq 29aUupTvm5SUpLc/
61sfVuwzbeXnxvLly0Vpaak4duyYcHNzE2vWrKk0NqsaC+X0nff79+8XSqVS qFQqIYQQR44cEc7O
zqK4uFhznn344YdCCCHu3LkjWrduLRISEkyaE1QqlQAgUlJSKm3TPpfL/543 b55Qq9UiLy9PODo6
im3btmm2PXjwQIwePVr0799fFBUV6a2/KWNPqp2l5gup+usbH9qkxqjUOCwo KBCOjo5i6dKloqys
TOzZs0fY2NiIixcvmnQOSY27in2+fft2AUC8//77QgghDh48KKysrERhYaHk eZCcnCxatWolbt26
JUpKSkRMTIwYNWqUThuUl6ei8nNo4sSJQqVSid9++024ubmJpKQkk8adVBlM aa9ngXbsYczr8uVL
Yt7ygyKgT5Sod4uRbZs3herhfSgcbNDowzc1nyscGmpeqof3Ydu8qdl5/OMf /4CTkxO6dOmC4OBg
pKWlYfPmzXBzc8PMmTNhaWmJgIAATJgwAStWrDCYzrRp0+Dl5YW9e/caPHbL li3o0qULBg8eDAAY
P348goKCzCq3Mflt3rwZQUFBiIyMhIWFBWJiYtClSxej0pdqAy8vL5w+fRqh oaEoKipCUVERXFxc
zL78aUxdKlIqlXjhhRf0pmdM+crz/Omnn9CtWzeMGDECFhYWmDBhAnr27Fll Gxji5OSEsLAwJCYm
AgC2b9+Ol156CY6Ojka1rTl1iYqKgo2NjeYVGhpaZT510YdSfZaUlITAwEDE xMTA0tISwcHBmD59
epXrQwDpsVBRz5494ezsjO3btwMA1q9fj1GjRmlubVhaWiI2NhYA0KRJE0RH R2PdunVmjQVjvfnm
m1AoFHBzc0NAQACuX7+u2TZp0iQcP34c33//PWxtbSXTMWbsSbWz1HxR3fob GqNS43DHjh3w9vbG
lClTYGFhgd69e+PgwYPw9PQ0qTzGjI/JkycDALp16wYAiI6OBvDkamJpaSlu 3rwpeby9vT1ycnIQ
Hx+PK1euYOnSpdiwYYNRbQMAFhYWWLRoEWxsbNChQwdMmjTJ5HEnVYbaHL/P Au2Yxkrvp3XIPrAT
Cs9fRvP5s4DevYg0fREAACAASURBVFEYFYNGU8ZCue1bFEbFAAAKc27CPrCT 2Xk4Oztr/m7YsCHK
ysqQlZWFtLQ0NGnSRLOtrKxM8mQpT0fq2NzcXHh6euoc5+/vX61yS+WXnZ0N b29vneP8/PyMSl8q
XSsrK8TFxWHdunUQQqBz585QqVSVLrnXZF1MYUz5yvPMyMiAj4+PzvG+vr7V Ks+YMWOwaNEiTJ8+
HWvXrq10q8SUdI2py8KFC9G/f3/Nezs7uyrzqW99mJOTU+lc8PPzQ25urlnl MUShUGDMmDFISEhA
REQEEhMTkZSUpNmuVCp11gC5uLggNze3xsamPo0aNdL8bWVlpdMH2dnZyMnJ QUpKCvr06VNlWlWN
Pal2lpovqlt/Q2NUahxmZ2dXOje7du1aI+WpyMnJCcCTgAOAJqgsfy+qeLK3 f//+WLx4MeLi4vDe
e+/Bx8cHH3/8caX2N6Rx48Y6Aamvry/27t1rUj2lylCb4/eZoO8LA+tHmAPY 9Q1F7k8HgN69cT/6
dShsGuD+6g1QAmi0bgWK5n6Ie6fOwmNazS5qc3NzQ1BQEI4cOaL5LC8vTzPo zT1206ZN+PHHH3X2
L5/ILS0tAQAlJSWa/10a879rqfwSExNx4MABvflVJ924uDgkJCQgJSUFTZs+ uZrWsWNHvemYUq/q
tLs2U8rn7u6O1FTdNV5ZWVno0qWL2eUZOnQoJk+ejBMnTiAlJQXr16/HiRMn zKqnMXXx8vJC27Zt
Kx37LPWhu7u7zjEAcP369Vp5Wmbs2LEICgrCzp07YWNjg+7du2u2FRYWorCw UBN8pKWlwdfXt8bG
pqm2bduGr7/+GjExMUhNTdUECIZUNfak2tnb29vgfCFVf2MeSzY0RqXGoaur K7Kzs3X2X7x4MXr0
6FEn/SF1HmRkZCA4OBjR0dG4f/++ps9GjhwJGxubKtO+f/8+iouLNYvU8/Ly 4OXlZVI9pcpQV+O3
vtCOaerVYmSFQgHPEYPg8emHONmuGwpu5uOxgy0sW/ujIHkLrg4eiYvf7YTH x/PgOWJQjZY5PDwc
58+fR1xcHNRqNdLT09GrVy+sXLmyWsdGRkbi8uXLWLNmDYQQ2LRpE3755RcA TyaChg0bYtWqVXj0
6BGWLl2KtLS0aueXmpqKhIQEAMCGDRtw9OjRarfB3bt30aBBAzRu3BhqtRor VqzA2bNnNY/CWltb
Iy0tDUVFRSbVqzrtrp1nVeXTNnr0aKSkpGDLli0AgOTkZOzfv9+o8mjnqc3W 1hYREREYN24cwsPD
Kz1hY0q6ptTFlPasb30YGRmJ48ePa86NM2fOYMmSJZg4cWKV9TRV27Zt0aFD B8yePRtjxozR2aZW
qzF37lyUlJTg9OnTWLZsGaKjo82qV35+PjIzMzUvc65OWVtbY9asWXBwcMCc OXOq3L+qsSfVzlLz
RXXOTSlS43DIkCG4du0aVq1aBSEE9u3bhzlz5sDBwcHsc7M6pM6DXbt2YejQ obh69SqUSiWcnJzQ
uHFjTftXVZ7S0lJ8+eWXAJ4EIPHx8fjzn/9sUrtLlaEu2qs+0bsY+dq1K3W+ GLmcWq0WWYnbxOWp
M8WpF/uJFI924tSL/cTlqTNFVuI2yUXI5aQWI5cvShRCiAEDBoh///vfQogn ixZDQkKEvb29cHFx
EbGxsaKsrKxS2uULyUpKSjSfSR2bkpIiunTpIhwcHMTQoUNFp06dxPLly4UQ QsTHxwtvb29hZ2cn
oqOjRUREhMHFyMbmt2/fPhEQECCUSqUYPHiw6Nu3r1GLkaXSvXPnjhg0aJBQ KpXC399fvP322yI6
OlpER0cLIYSIjY0V1tbW4rPPPpOsl6l1kaKdp1T59OW5detW0bJlS+Hg4CCG DBkigoODxaJFi6os
j3ae5QtCT548KYQQ4scffxQAxKFDhzT9Xr4g1JR0q2prqYWez1of7tq1SwQG Bgp7e3vRrFkz8cUX
X2i2SS1GNkTfeV9u8eLFAoC4ePGi5rPy8+ytt94Sjo6Ows/PTyxbtszkepUv Rq74atGihd7FyNpz
UGhoqPjiiy8qbTt8+LCwsrLSjCdtpo49qXaWmi8M1b86i5GrGof79u0TQUFB wtbWVjRv3lxs2LDB
qP6oOH4NqdjOd+7cEQA0C7rL2/by5ctCCMPnQWlpqZgxY4ZwdnYWdnZ2Iigo SGdxr1R5Ll++LJRK
pZg8ebIIDAwUbdq0EV999ZVR9dRWVRlqor3qC1MXI1+7dkWzGFkR0CdKDIt6 A9H9POHj6WJUpHT1
1GY07xIOq4aNqt7ZTELGv3XVs2dPTJw4ETExMXVdlOdSZmYmCgoKdBZph4SE YPr06UbfX6dnT3

Re: Error while generating gmfgen [message #150049 is a reply to message #149991]

Tue, 11 September 2007 07:01

Eclipse User

Hello aditya,

> org.eclipse.gmf.codegen.gmfgen.impl.GenNodeImpl.getReoriente dIncomingLinks(GenNodeImpl.java:544):
Looks like you either has LinkMapping without LinkMetaFeature or (looks more
reasonable) modified your .ecore model and did not reload .genmodel (.genmodel
file saved on disk has no corresponding GenFeature).

-----------------
Alex Shatalin

Previous Topic:	Figure inheritance in .gmfgraph?
Next Topic:	several possible "Diagram Root Element"

Goto Forum:

-=] Back to Top [=-

Current Time: Sat Jul 19 09:40:48 EDT 2025

.:: Contact :: Home ::.

Breadcrumbs

Sign up to our Newsletter