From bogus@does.not.exist.com Thu Jun 7 16:37:16 2018 From: bogus@does.not.exist.com () Date: Thu, 07 Jun 2018 14:37:16 -0000 Subject: No subject Message-ID: Resolution Order" (http://www.python.org/2.3/mro.html), it seems that the MRO of python 2.3 differs from that of 2.2. Since running thuban on my box complains about MRO, I suspect it's related to the multi-inheritance of base class and subclass at the same time. Does that cause an ambiguous hierarchy? But it really baffles me that it runs for you. Anyway, could ClassGroupPropertiesCtrl(wxWindow,wxControl) be made to inherit wxControl only (as wxControl is already a wxWindow)? Thanks very much, Joseph __________________________________ Do you Yahoo!? Yahoo! Mail - 250MB free storage. Do more. Manage less. http://info.mail.yahoo.com/mail_250 From bogus@does.not.exist.com Thu Jun 7 16:37:16 2018 From: bogus@does.not.exist.com () Date: Thu, 07 Jun 2018 14:37:16 -0000 Subject: No subject Message-ID: -- --My blog is at angry-economist.russnelson.com | Freedom means allowing Crynwr sells support for free software | PGPok | people to do things the 521 Pleasant Valley Rd. | +1 315-323-1241 cell | majority thinks are Potsdam, NY 13676-3213 | +1 212-202-2318 VOIP | stupid, e.g. take drugs. From bogus@does.not.exist.com Thu Jun 7 16:37:16 2018 From: bogus@does.not.exist.com () Date: Thu, 07 Jun 2018 14:37:16 -0000 Subject: No subject Message-ID: Patch OK to commit? Jan -- Jan-Oliver Wagner http://intevation.de/~jan/ Intevation GmbH http://intevation.de/ FreeGIS http://freegis.org/ --r5Pyd7+fXNt84Ff3 Content-Type: text/plain; charset=us-ascii Content-Disposition: attachment; filename="ext_reg.patch" Index: Extensions/gns2shp/__init__.py =================================================================== RCS file: /thubanrepository/thuban/Extensions/gns2shp/__init__.py,v retrieving revision 1.2 diff -u -3 -p -r1.2 __init__.py --- Extensions/gns2shp/__init__.py 16 Nov 2004 21:15:49 -0000 1.2 +++ Extensions/gns2shp/__init__.py 24 Feb 2005 22:33:19 -0000 @@ -1,17 +1,19 @@ -# Copyright (c) 2003, 2004 by Intevation GmbH +# Copyright (c) 2003-2005 by Intevation GmbH # Authors: -# Jan-Oliver Wagner (2003, 2004) +# Jan-Oliver Wagner (2003-2005) # # This program is free software under the GPL (>=v2) # Read the file COPYING coming with Thuban for details. -# import the actual module -import gns2shp - # perform the registration of the extension from Thuban import _ from Thuban.UI.extensionregistry import ExtensionDesc, ext_registry +def init(): + """Initialize gns2shp extension module.""" + import gns2shp + return None + ext_registry.add(ExtensionDesc( name = 'gns2shp', version = '1.0.0', @@ -19,4 +21,5 @@ ext_registry.add(ExtensionDesc( copyright = '2003, 2004 Intevation GmbH', desc = _("Converts GNS (Geographical Name Service\n" \ "of NIMA) to Shapefile format and\n" \ - "displays the data."))) + "displays the data."), + init_callback = init)) Index: Thuban/UI/application.py =================================================================== RCS file: /thubanrepository/thuban/Thuban/UI/application.py,v retrieving revision 1.38 diff -u -3 -p -r1.38 application.py --- Thuban/UI/application.py 13 Dec 2004 11:52:34 -0000 1.38 +++ Thuban/UI/application.py 24 Feb 2005 22:33:19 -0000 @@ -30,6 +30,8 @@ from Thuban.Model.messages import MAPS_C from Thuban.Model.layer import RasterLayer import Thuban.Model.resource +from extensionregistry import ext_registry + import view import tree import mainwindow @@ -71,6 +73,7 @@ class ThubanApplication(wxApp, Publisher if self.splash is not None: self.splash.Show() self.read_startup_files() + self.init_extensions() self.top = self.CreateMainWindow() # The session was alredy created above and we need to get the # map into the mainwindow. maps_changed does that. @@ -121,6 +124,11 @@ class ThubanApplication(wxApp, Publisher else: # There's no .thuban directory sys.stderr.write(_("No ~/.thuban directory\n")) + + def init_extensions(self): + """Call initialization callbacks for allregistered extensions.""" + for ext in ext_registry: + ext.init_ext() def splash_screen(self): """Create and return a splash screen. Index: Thuban/UI/extensionregistry.py =================================================================== RCS file: /thubanrepository/thuban/Thuban/UI/extensionregistry.py,v retrieving revision 1.1 diff -u -3 -p -r1.1 extensionregistry.py --- Thuban/UI/extensionregistry.py 28 Sep 2004 19:13:21 -0000 1.1 +++ Thuban/UI/extensionregistry.py 24 Feb 2005 22:33:19 -0000 @@ -23,13 +23,16 @@ __version__ = "$Revision: 1.1 $" # $Source: /thubanrepository/thuban/Thuban/UI/extensionregistry.py,v $ # $Id: extensionregistry.py,v 1.1 2004/09/28 19:13:21 jan Exp $ +from Thuban import _ + class ExtensionDesc: """ A description of a Thuban Extension. """ - def __init__(self, name, version, authors, copyright, desc): + def __init__(self, name, version, authors, copyright, desc, + init_callback = None): """ Initialize a new Thuban Extension information. @@ -50,13 +53,39 @@ class ExtensionDesc: Converts GNS (Geographical Name Service of NIMA) to Shapefile format and displays the data. ''') - + init_callback -- a callback method that is executed if not + None. This method should contain gui specific + initializations of the extension. + Default is None. + + This callback should return None if + the intialisation as successful. Else + a string describing the problems during + intialization. """ self.name = name self.version = version self.authors = authors self.copyright = copyright self.desc = desc + self.init_callback = init_callback + self.status = _("Initialization not yet requested.") + + def init_ext(self): + """Execute the init callback for the extension. + + Do nothing if the callback is None. + + It is expected that the callback function returns + None if all was OK and a string if something was wrong. + The string is believed to describe the problems. + """ + if self.init_callback is not None: + result = self.init_callback() + if result is not None: + self.status = result + else: + self.status = _("Initialization successful.") class ExtensionRegistry: Index: Thuban/UI/about.py =================================================================== RCS file: /thubanrepository/thuban/Thuban/UI/about.py,v retrieving revision 1.20 diff -u -3 -p -r1.20 about.py --- Thuban/UI/about.py 20 Jan 2005 13:14:14 -0000 1.20 +++ Thuban/UI/about.py 24 Feb 2005 22:33:19 -0000 @@ -125,6 +125,8 @@ class About(wxDialog): for author in ext.authors: text+= '\t%s\n' % author text += ext.desc + text += '\n' + text += 'Status: %s' % ext.status text += '\n\n' else: text += _('\tNone registered.\n') --r5Pyd7+fXNt84Ff3-- From bogus@does.not.exist.com Thu Jun 7 16:37:16 2018 From: bogus@does.not.exist.com () Date: Thu, 07 Jun 2018 14:37:16 -0000 Subject: No subject Message-ID: shapestore. In hindsight the only reason for doing so was that the shapelib has different objects for the shapefile(s) and the dbf file, which of course matches the way the data is organized into different files. So the distinction between shapestore and table is an artifact of the shapefile format. When we added the postgis support we should have adopted the table interface for the entire shape store, making the geometry data an additional column for those shape stores that don't store the geometries in columns in the first place. > + def setBoundingBox(self, bbox): > + """Set the bounding box of this shape store > + > + The coordinate system used is whatever was used in the shape store. > + """ > + self._bbox = bbox I don't think we need setBoundingBox. That the bounding box is determined once and is then stored in an instance variable is an implementation detail of the ShapefileStore (and apparently OGRShapeStore). That kind of implementation assumes that the value never changes during a Thuban session. That was somewhat OK for the uses we developed Thuban for originally, but especially for the OGRShapeStore it would be better to always retrieve it from OGR. So, I don't think we should encourage storing the bounding box in an instance variable in the base class. > + def BoundingBox(self): > + """Return the bounding box of the shapes in the shape store. > + > + The coordinate system used is whatever was used in the shape store. > + If the shape store is empty, return None. > + """ > + return self._bbox A default implementation of BoundingBox only makes sense if the bbox is stored in an instance variable, so it should either be omitted or raise NotImplementedError Bernhard -- Intevation GmbH http://intevation.de/ Skencil http://skencil.org/ Thuban http://thuban.intevation.org/ From bogus@does.not.exist.com Thu Jun 7 16:37:16 2018 From: bogus@does.not.exist.com () Date: Thu, 07 Jun 2018 14:37:16 -0000 Subject: No subject Message-ID: a) tidy up the above code b) work on making the spatial selection code more efficient c) add a few more select by layer options. d) look at logic to allow a choice of symbols for the display of points on the map. From bogus@does.not.exist.com Thu Jun 7 16:37:16 2018 From: bogus@does.not.exist.com () Date: Thu, 07 Jun 2018 14:37:16 -0000 Subject: No subject Message-ID: a) tidy up the above code b) work on making the spatial selection code more efficient c) add a few more select by layer options. d) look at logic to allow a choice of symbols for the display of points on the map. ------=_Part_8560_12232153.1159056382154 Content-Type: application/zip; name=tools2.zip Content-Transfer-Encoding: base64 X-Attachment-Id: f_esgm6dr2 Content-Disposition: attachment; filename="tools2.zip" UEsDBBQAAAAIAOmxHjUXk/FlLwUAAFQQAAAVAAAAQlcgRXh0ZW5zaW9ucy9hcmVhLnB5pVdZb9s4 EH7XryDUB0uJIsQBigUK9CFn10AOo3E2KLKGwEh0zFYmtSIVx/9+ZyjqjOwmDR9skXN/MySHrus6 5y+aCcWlIFqSJKdrQkkm080TrFCRkISrLKUbopeM0JxRs5ixnK+YZjmRC6Q4lQQXhlFpqgtFHmnu OCf35ID8w3JjY+y4YNPhq0zmmkjlOItcrsj6ZbrRSynC9QuxtL2KCYjVp1rSjKX8sZrPlsUjFaWK 8ruSjtqL4ZVMWBomVNOKfvv38fR89mN6Hk1vLn98u7ke4Nf0MWWVwMXk/PLMCEyuZ0Frejv7Prn+ FpB/HYKjIZzd3J1cnnf03k3CWK5WiKBVm7MnrnS+CchMyvS0JPZlVpSLNReJXFdiuBKtmCiC8lOD MILdE3zmbG34K7yAbSBQSC9k0vJc4mSAaUWziuWKZjZvJ/fRneYp15wpS91zHCdOqVLkGKoFLXr4 439xDEAJW5Ao4oLrKPIUSxcBQS8DEkuh2YsGPmIHioUDvH7NgWthJrnQinwlD/MuQUtN00smnvQS qIddojUHBPvVJScxUK6lYD0pKp4p2mrraOXHMvR0waa6SOkTiF3QVPVULrigKVcMqLO8KIk1Utd0 xUzkLVhypotcELeC1+2KoLUI9l+uLWQvAdm0xI1RQ6/DKPKcCZwia5OmK1kodiYL2AWnKY9/lfrY M/D29b0/xJr4h+kzOIeLIk2jnKF5rymLfgRrYaH4ne+vvbN2kIeLYZYW4EZ/uIperCn43PSqVaZJ ZEIGXUPsg1XarrBbpm/N6XrPE71U3sPBOCDjvz7PG0N8QYTUbXibkGvVJSGkWcZEYvAxx0W4NsdJ lOXyp7fXrg/fbyvpYnwln9kWjMEZr4OzP+BMU4K7MKltpqYqrMEM4s+O2harM1Iv+5sG10L1H6TK y8YPh3O4mbIj+Pf39o7IPsHFsV0cm8VtRXWXfSTcD2JPRLECqAAFr6WuywK3cL13DFMLMyvwAGoO juZBf2k891+73N2Nr5b2G4PNAWK2ZQlTEr8Do+ZIaKBBTBAbgMjby3yykDnJsN1oeT+vLuH+2Lea LJrz94KJDhu2r+So5yuOJA7PIJJp2QN5QxoYHIp/JPjWPI5tHn9XR4DFNjWHb1TR8e8TOV2y+JfJ B7JBSqAtVCzW2O4dlC1jTNO44DQ1a1yZ0+kZroQEka1ax6606qMwNRVhXR1/mYPlUTkbmSscTkgF rWtSZHBXUc3IgudKlwKvksnVLVib1K6KJ5uDk3uvtOUP5LmEYceRPAOC506HA2qDETYQhG5wOFAr 5JV1xAnvfEAB9bRTt9/eKdsz19vXON4YkrXrYvXo3KtcwWpyCZniawAfA8hhWXadED5GDAPPCAzF tK9etwGsO63dTZa9nyGbALFpNuuusyQ1jWUZ/BtjNY2VX7oYY4FH2xy1N8tWN8PTEn3jk49HSKtz g5cQCC54ir2RVGGG99NPyKlXTeijwn/P9uJRhLMowjsrGD7sYLghVBVxvzMlizxmCicnXEMLbz4x lJN7CK96fYTHSeK1HiCeW0eL/FeMqiJnpCpsJAbNG9Dd7kiT3oBgpBBlFfAOoSVLM9ucf8S2yRtL sIa6GYRScD4RiNm8VasXGTx/cVo9pdrvqnAiFMv1RLNVGxqjBprbUg+rHtKK4MuMeDEwwjnENTyZ 2brqyhayEInvNNzmHQdO1m+68AJU3uSlzStY8EYN92hHwMMj8kbnjbhfOU3TdEOoxQD96+HQC6fv cBuSUQ3JyHf+B1BLAwQUAAAACAC4YzE1EhFhQe8MAAARNAAAHQAAAEJXIEV4dGVuc2lvbnMvQldf VXRpbGl0aWVzLnB55Rpdb+Q27n2B/Q+67MN6Eicbe+ZetsniMrm2V2CxDdLtboNFcPCONYlTj+2z PY39748UKVnyx2TS66E4nJGMbYoiKZIiKckHBwcvX/xcJ2lSt+KqzFcy3payevni5YufiqhOolR8 L/ONrMtBM0BFvhb1vRR3GqUwKCLJVuk2lrG4l6UUEfyvo6RMWwGsZAl06zLKqhR45Fkl1mW+EUVU raL05Ys6F0Vb3+cZ0l/lsYSfrI6SDKglmbgoo+peXEVlnT++rsR3UVV//+2P4jLfFNta0bOlvkjv 8jKp75NN9fblCwHXz9fv34r7ui7evnmzhs4g/UmhqJ1kshZ7XkSLyTw+Plok3oAaHuSqrjT5N0kW y+bkvt6k0O8Adf7yRSzXIqmu8rS9y7MfMn7wZiwlKKPSaJskSzbbzd+Tqo6ylfwOlHWVJ1n9Mf9J 3m1kVntXjX/V+k3gt4HfhH4bIhkk9KHxxYdWnItVmleyqlW/HzPuZyh5VldfEZth71LW2zITmjGz AZofsN0R7n3U/mnyWbxHRUQ1A5EfsiqJ5XK7XoNLxu/Bn7yirnwBIrS+iLXmY5AmPozpZZ2XIkGv A2+9k96pn8oMe82OA42vrFVDJwB/SW5tYKahR4EFj0FWaNhLcY3f+kX95fQWfwP8zeglg7dZRzNZ E9kzEVti4cU6+lhuJTUw4LsorWSnIVTHDxlMzQo9VyuJlD+mpVegykwFCJiuB0lVjGv4wOG5pyFY ci2cbV7wAwGOIMATBHmR0mgD+mzC4ybgd/SoNjxuA4d93BwC5hE0H8atpv5sx9MKKEpoFwcY3w5A oD4eYX0iycSx0LJ9ItkAoqX7jDhXjYXzGXGuWsYh2CoAGJA7RPwjJANPrW4F+wPC2bk4fatBeH1Q 7AMLoLhbAFYNzUPDK9S8Phlen9pvbGYhMlsFI9zCPrfwCW7XGLQxBATiDRDWYJYd+BMCCsMtNAi7 pXUM3dHvRVn2bw8BgY+/xodev35ND2h7nVV6TTBwDwOA6j6DyTafCQgQBhYSzA4MKozjk4TpZjUo Eh/LKEllCaOxqB4Lyzyj8YcQbTaaYjikGPYoaqoPhqqwyIYDsnglqESYGkaBV3VFUkDA8+nBHhDB wi8P+sGW7XaMA16DSGVfvdE9DMduaTNxvGEk0g0cAoFKVi2cbeqepREXQeFehkbsTrLTSdMGvqE9 ZtmhYZ9l1/3NihKgVdXdEp5MqU36xZLp9xt00p6u0kbMie+dSb+N7+R11JpxmOzpZAsfgiz8Oyb2 WhU1ASiiLBYeBN0zTCxobWgMRxpx5kH4B5DYFo9RGYtVmVdVkt2hh0Qizh8zF8xXN8RXUNFitSpV +SxB+uMyasFwLL/4m2pojld5XsZJFgHmoZvtPU4YIJHncYKZQST0OG3MIJZ6nGZmA+vvWRRwtta1 aQHqKyBDY/2jdahSOdiIe7J0ukoS787F3OL9wP6r2nYHOoOH2jaXO4xkl/GpHMNqiSszrJ/U40MH fWCoGtnoHNEDzPKaX1ykh4GDaqyeFnGBkspmRJnvoboZpKF/gMulsJDabNM6Ebi6ENy1Et7jfbK6 Fxvwma9SZFC+yBj1KSOAKtTHJE2xLSJilfzXVkL9ZK2kHnFRlCk/YxEMVk+SMRujuRQjIMHdLeUl u5wHevUVPanknkaFo9Ifs/dyXf8ELV4l07WyYjFYZVhk3IlS6InyDp6bDm4mjbYg9V7m2wym4t0y bzxrAhgtXSssUOxXRoSHBkQVrGTQ2AYXtJGot+AHb4UHCwDQCfyCVjZR0/jw0856ZNdJqVYL3VRV qteKd5WukHu6RS5qGQI+P2hpqSXot4A0E31AxPE+WlDLSfDqZUO8QFBFGRSPjEYm3TR/0/dMDWys 7+R4qW/AfNtxvhOjM30V39G+A22y1w3MrNh04eEaYhbEvFR+VjPSvHolPEHywlvfk6d7YQpXHVWI o6fAPIXmac5PocELDV5o8ELAY4/sRvyU4CgCDPefmH3xjhkYhozveGsZDDNUtYbcyvfBrDWRpNPM gDqRExP0VPYeI0NCiZ5UU2QGEd0a8TXEBFLZ09Lb63nsYSxgDGD0b6t/ivn45oolAoQ9KnIaXcc0 +NqwYsZKoHNdA1HMHOkc6M7DEunciZ79rQWU20ux3GZ12ZPIinD9RU9KlbF44urctMEFM/b6Utw6 saC1G+yJjpMc6ynDDjd5oFgDOCamFNaEQu1zoGzVfVT0SoEmNISPgttB/Gnd5pEQo6pxLF6Mujor 007EzBce2dj1Nvvau7hz10BkmQKgz7RMQeuLvhj9q2cZ7DVqGd0wZRnF7vdYhghPWqZrtjmP5K+O 2OkuUqeDIfzn5t3TtIasa1wFWi73TCwjff/ozCL2E/kPySamoio12UodS+DCHaq2qFJVml28AQL6 u4UfqCAX2iUd0ZzO8Z1ugQGYDf0A+1pU899kmUaF8Mz6b6Z7TuxFueGdtINxl0bOoZiUhCsw0o8G Kx1q7NbGbg02gNVun849ZKNp7y3An4o69G2fLQuYCV+7qvljrjIXlSezntf1dyGQoECKQIb8qMAN b8xITyAHhBzuhRwS8nwv5PktSzMjpeDvq0reLWFwMNThMsF0n/FwX+01y2CGMlUOAnqWTCqTNQ7s QA4FQp2puzklADFMYzhsnA8a513jYkDWNPKItAMAIfhfdPPa1ugl7mZUg12ZZg53+G8WcF/owahj Mny45tnz0Zo99WOuMiksWZVLVt3eyYn4CAhuozXPk4yo2ksyfO52WioNqmpc4OLskPCv0otqU6ts pn1C1FTwVqgqeoNWilJW0M50o0zRzeDPlY27z/12Tt0XfruY6k5i5fBTOkROpsOF0eLF4CBiqSBz hCz0PMdfUDEgn4nTk1Mr+7zPH2X5i3D3938uCgYyzV627NrDMUrW9o9hDVK967HG3S6mdAayUlkK gp8xqYkkaS1EZerS4M3cZjFKo59TEXYxOLVZKgiqr11YByMX7bjqboR7EqKEUcAdqut36igFPYuB NJNqu8FdS1Zba9R28yy1KRqstnYxSmPYn34v+RwH/GzOED6/AdUxJBYYYZZ4znTZ4E6Wt8TTp0u9 HbJW7RfYvqT2C2xftjNL9etRFcRkDxI9BpS1O/Axa9PAY6KnehKd9e7xSiUkC66E5AGNCumKKW0x 5XPElJaYiswOKQnuVJE6UPP2pLtYs4C4Irooywgjt340xRXWSQAMsDIyeJYU3B7a7eHI+sLGHxx7 IYPeubuNPzz4QI4THfBK+vkJMz4yweMPusNqAJ/USRbdATJFD6+dBTq+c9fxBOmWHJhLMfn+T2ZE rEUQEcuOLp2NE8hE5OYzcaFXcyCps3ldJVWtTlrWeP7SKFKRaC1hDf858188yX9HXnX0PlqtclFT 8LqooFVRwcufghY/IA2/zul1wa8LqsE6Z0jXhjKMk9foy88eCHfV7TrvdIWCOnXDxk3plgyoVQlj ptETGY99oYjKaAPs3yI2VZizzpHAp2rcae/JkPBRKYuoznzsOULwkwjySBYzlqqiX9HHF47QIKjM qm2JRq7vo5pOyLSx0CHUOKKN1Es2sqlq7njihxyVoMMmLdfgvGl1/yug2Uew1O9oEDIQO9oTFy/9 cQhx8FVf6AB+VR34ogdFMkMSoFWW7y/niDi5vzIejDLZ4EkYZiQmcySC2Tgu7qIw+jsSZ0eE6wgH 40jgdL+5nI93cdboZyLYwbUjOqEuvLTWUUTVQ4CyWV5fk5gUxPMi0rbuwitjhnL30YN0fXVml6tf xYFwTT3dD7kPMwHPFCJxDGHDAZjXyG3F19udUuK110YSJInIozAxGXhwBiIezFE1md2DxfFI9Jpo mo2MHcsWRfoc6xsTa2gPkELT1PEyN4PjfeNO+eG3fITa1xdIf0GsPUahU2Oo5/hVnSerKq9rD9x2 iHE9v+fhqNuRZuKiWOfJGvtr5anHQ9DDX911d6T6k7kuf+eXbKM2Hcn+/KUcR+I844yi2AgQQB0r f+UvsbCN0nPr0Kpz9gykcbXPyvVP+YROW2P4BZ37CV1v1Tb+4Vyv1re+nRP2Nfh8jqD9b+iYpYs2 8Q2dITL5LZ3BeP43dYn6qiEpV7gBiG8Q7tRbb0/Z+YBTIVLxo55wu456KSA/AnSGSvL4Pbw9NE+T J0u2KFVflomTi8HkL2rcmuA53DueKOobp214QnGujygU3eOwH1aK0KY+dhRRhDc9jL3OifTY61+w qrzxkRP+3ExoV3TqHMkUT2aHyTOk/wMbTHzRIM57jEcLQ4f5yPER4dw4OE+eIv1xxt+rLJgUwM4w l41/2fplFCdbUzyor+SfkaUUDc53ifsduH2GTmhQQBK3Q7pZIxuMqmfC8UEa337ap1Uyww9yFIpF OaHzyb2i5bg0A/n/u9/E/xtQSwMEFAAAAAgA5lExNWydrtbkCgAAlDAAAB8AAABCVyBFeHRlbnNp b25zL1ByZXZOZXh0RXh0ZW50LnB55Vptc9u4Ef6uX4FhPphqGcbOXXo3mbozsqUkauWXkRTnrmmG A4uQxQtFaAjIkjv98d0F+AJCkGTZl7lOyg+2SCz25dldAAvA87xWby1ZJhKeETmjktA05SsBvxlZ CpYTyUlG75M7Khm5pZOvK5rHhGYxmfJc/ZaznC/vZq1Fzu4TvhRkTheEIVMpwlZrDIxYJYLGsSCU XBe0AbmENsXuks5ZXPQjt0speSZQOCoiOU9BeI6ErQnPcyYWPIuT7I7MWbYkfCETgxwVwO8hGbda I5knE5k+ELFg9Ct2kbNEGCrFnAmScUkEvWckTsQipQ+VKiIkfUl4hgygXbRQgJjQlCmt+XQqGBgw lQAVo5MZEUv4wxcsp1IZjHBqqTWgOZPLHPDmwI0LRu5pumQI1qcZgy6arkRdmUVJCe+rDBE70tod AWllEqIUtAA6JQuExnxFRPJvRmZUkMmMZncM3cWyWpk5BbsY2EJSmt/BB54TMQelyYLnygA+ReoW Wy/YRFawhKQDNCpgQDL4Q/IcGhMdOFUolPAAUgozMLHVOvtEXpIbliv0Twi8vP7p1c+vjv/S8iAc W8kcRRMuWtOcz8lqff0AKGXhak2Kpj+VNNBY/hQzumBpclu+j2fLW5o138KP/fA+YSsCcOD/zdY5 TTINnBauW0q5kfkxvOAxS8M5E4LegZNKXv3xoBedf+hcvu91AzLo/NobRtfDq7/3zsf9q8u65V8t gs9F59rZjN9V51HU6XatL8PexdVNr9tQB7W3dNHCR70BMEcOow+d697I+HDT732Krq9GfZTdUGnY ux50zlWn805tkC1xwudzdG4hMGd3iZD5Q0DGEIvnujEgxY8NdSuwy/74JcLMDfRPjGhIe7sj+k7R l5gD2T6aIUTvBp12IaZ7XmGGLy4/w5hSkFzQhYsLpxUOI3AEBPcAPjmZqZGmSTuCTy7S9TzNGbIp 6X+5GAzZNr6al8UaUm6SUiHUqKtGe+kjFO23LeXwmE1JFCVZIqPIFyydBio7AjLhmYR0BzpSPNgt dNC2Kwr8FhYdyWnJotkcT6DlkmfM6kWze8jM0wYPI0oKgqpTs3dpeyWz/FKRJVNTTqgHsn4WszX5 GzmpjbQUahCebm96SU62ssAB8VIjMs6XrEmHA2NQDpWnDv7i8w6ZX7YKBXYROieSOc0ETNdzvyGr 3UQSwwAnYeVWw+fFZOXV0eNVEYU2fUcR9fxA+itJWeY7XNh+dnz9+TuPrzqWjPjCRaH+KMoIU7wS mvK7qwVDN72jqWD/D3EHy6O+Wo01cOkqLHDpJWZ8lZFJikvKBFZQQJmvEnjhCFQicXlV8sqAA4jy 9LK7YFU3J9OGjNAEvEC8GdBbqTcDUrcicBtWFI4wQAwa4NSedHAMhXxI0ajVetgb9f/Zi86uht3e 0EU6Aqh81KxNrOfAoDVM8FQvV+gWxq3W+kcZxJvRuqA50IOVle2W2bUGJTM7iDEaA/LyJLB9G+ha 4JT4r98cBz8eH7drEIuMHi1vxSRPbpnfXAMqF8AKKMoZFEcTFltZsg/4ZlK4gh+XV2ULvmxLDTsl 9iRp72YcnQ+uRj1iRtZVdo45Yo1P+KSwfL1RxRgw+1wPfTC4YeFDkszQMcwMFzezoeYT0gWkQexD 78/HXxwi0Sm5wi484+sRvkGghDe94bgPS29XD7ThVmadOL7UWbxan6mCuTASnR/5HrTDBL0iZhh4 7QD8fxy8Pm7reDj1T35Qr21bwhkMVT4CePZxPMbyoMIumXwFvpphYKvTbloWwmffIgmOA7CwM+i/ h4Kndzke9v6j3gcBedNubdg5ZHN+z3aaqkmclr55pqWatW1srdMue2uq3SZvtzjsZfQ2Zb4acR3Y 9OJE7kQGCZy4/PxMXJCxjUqpzS5MSprDECl77cMDyyiohXZCgjQEiJJpwvS+U4nJyckzQSnE27gY Wu2CxiA7DB2j4z6APi5iKllX73Jtheg9x02nEUv1nk8zck5+fCZKDR0Ct2q7cGr2PwipRlcLq5K2 2UmuZTXYVWE1huH8XOZpE7UKoJ9qgF4fF4PtVoNsAXtGx3quorcs1RPHSFKZTFApQyFPu69wnprC CrvfeuUkcNw29FIMwxGTH1i6UMy2s/Bc5igGATkOyGM9kopiDNF2DGDahEnQMEKp+QPgp4DU+VlP rtu4PceIJqeAnDzKGgz1QX80Prv6JeqeD/rn/zAXHLVi75nsx357Rz7UC1IX88dx1RbrRnsMAGg6 S8kH9IEvpV4CVwQvSgq9DJF8Ad4wmvWH8F2i42yzpej6IcF6rUmiWBdS2/U2QbEWK+xi96jx22an YsX1MROHL0+3lyV11VgJ6jIhc/7gOwpXk7tdC7xQu+9FVVOdJiyVU6HqEqrWqs4TyErv8asNxWpb 3nABLyo4rPMKpkWXDBZzRTdRDM1h04ISTRiKyIsFliHxcj5/wLoCdMAzCmVVA31zNbfFDeWGhz1U YeCpTPTbWBZ6XnMVvFpf6B1pzGnvnGaIywxnX4gujjsld3JGAHM8wqAaJyMn2UaRqc9dmlsY6luD yrnToT82uRVh01jHl+v1z/sMDpobK8bSvuJdFCth4WPfQbIhYFQK8DwHeZ3y5ymjucVxW/WCj1HB OO1uAt3ktq2GsagEz6WlkSG1JtwUZdnWqcQ5IHAuj5vDmElrLxw3av6NZDAX/HvyoTEC60EX/K2T 4eXJI5JBH+SUp55UjRwzzAYjxXdmBPQsFiUOhVRi+Ts13equRwYJIFGpcEp0gGxS4ePOtlyBvcXV tdJd0FiyQ0zZk4C20+tq5lu7vNftj5/iaUu6e+laEe4qIl3ERWX+CMotlZiL1FGWbCbqIWPiE2O8 vZHjjTrtf3zSS4qDgZ02fsNBwZ2KSqudhP1MsFz2JZuL/bPpl0Db2XbEw+5p9FuOWbqtxHFXIFjP IUFtT/SPyPrt090hU6OV8wfOoY/NeD0+lISuAXhkVCu76oBHmPc4jUsq52aAJq3UI64a7VvPER+v u51xj3T7Iyhxfv3O1wXW8STSnsBwgP9ff3F2Adq16oEbWI6FffkoXfceVvo1O5wp0Ol4xUqHQ+w3 T16Kcx/HkR72iYpOmgseyh7KBftUXJBUcaqP3tWVGItbfbCy86CxPONRTsbjT9+4D1IeOJWctf8d DLHCl1Quhd5bQRblzgry9AoE68Pc31Vj477BUzVWx+QujY14/n11Nhg/XWtqHOWVeqv4SKDzNFFl MRfhgspZ+BtPMr98obcC//vFRaEowrcowkIucGYNPl4YegHxhkzwZT5heHjonSUS8l79XFSBc/YJ 9Civfan9M+Pml+9ZgYt99dZydUOQqVZvuyp28MNCYaKOAkvDd3SdsXRRnAweLlfg/VCZ3COyRirj GPFHYJ5Vob8Hcyv1aszVxdH9dlv9n4f3I2WaWBuD7x+GtZGym2jXSNtDBva9oBnM5o0jN7ETbpvJ UwE/VLCJuetSZhjNqIA5UyTgigigabfxdsMLgufKuDlZXv40LmnjZU3z5mZRBIwYbkBKjhtWjmas ETbHih2kdojvIt3wURttmCZZ3LgrTvxJznDDtthmxU+wiMHV2JQvsxhFLNTdVICruqcavgM+V7kW eAEf/CMgO8LToKML+NFWwmgBGDK2QCvFV9xN5fVVDn23HBxcLvyi6TJNoyKp2s6eRxaYR09kYwFt snG5y8XBxt/ksenHVqv1X1BLAwQUAAAACABOQgc1aq4cRJAEAADVDQAAFgAAAEJXIEV4dGVuc2lv bnMvcnVsZXIucHmtV0tv4zYQvutXDNRDpEQrxDkukEMeztaAnQRrp4tFGgiMRMfapUiVpGL733dI vWUl27TlwSY5729Izsh1XWe605SrVHDQAjJKVCEpJKnShMdUAWGCvwCBQlEJiSRbDizlNHQulCoy ZNAbovEHZYgmkCojmzOypwmkHAVzKX7QWFsDhjWXFFW9UtUacZzLb/AJ/qDS+jFxXPTLSbNcSA0C yWspMtju7vd6I3i43UFFO2641IbklKXP9Xq1KZ4JLwXLeS0TdTfDhUgoC0vXS/ry94v76er7/TS6 v5t//3J3O8KvyTOjtcDNbDq/tgKz21XQWS5XX2e3XwL40wEzWsL13cPlfNrT+zALY5FlhCe1Wklf EB+5D2AlBLsqiUOZjKR8m/JEbGsxsxNllBdBOdUo/EzkUPA1pVvLX+OFbCOBmjzKmmduFiNMGclr lgXJm5RkRG8cJ2ZEKfhaMCqNDc/8+J8dC0lC1xBFKU91FHmKsnUAxq8AYsE13Wnkg2oYsXCE1284 zF6Yi5RrBefw+NQnaKEJm1P+ojdIPe0TK3NIqGZ9chIj5VZwOpAi/JUYW10dnYxUDANdeINuGHlB sRvC1EDlOuWEpYoidSWLktggdUsyaiPvwCKpLiQHt8HX7csYcxHeMqkrzHYB7Dvy1qqlN3EUUlJu loa1zdNC4AtwLQo8+FcsjX+W+ugr8g71fTzGhvgv82eBDtcFY5GkxrzXnothBFteQfEr3w+9q+wY npSPs3QAt/rDLNpVpnC6HxxXwZLIhoy6xtidhj1dAxe6C1LreKOuJIQkzylPbJT2nodb+w5E5iX2 jrtZ9v2ukj5SC/FKB0g1zDne6a5rXg87f8S19liNxjn0gNlMl+bzSZCfHZ5587yE6i8E2ssnj6dP WEDyM/z3j4/P4ATM5qTanNjNt47EQ/7GgfhHgf1HzIEXGYKC8XoddX0WLK7NybdMHXQqgUdU8+ns KRhuYeSHLvfv0sHWSWuwvf72UpUwJfEHMGovdAuNwcRggxB5x7kPayEhN81Cx/unumoOx0mlqULz qceVxOE1+jHHBkV5Y1D+j2hPKrQ/lO2SdFgqllQvNdGFWiHBc0sHPmPVw7SgHy6Gjb2A916ufFy4 AEv60hFoqcGp7zgmk9KUCtsWeP0y29Sz90tZ9QguKcOuzpb0triXtLZ+l8H/Ol6rASZu5WK8ofHP 6E1HqwfgTTfDqxJ765IP5+e9+oj9CUquU2YqkFBhbt6RH5hXr16QZ2X+varJiSKziiLztgTjhxKH G4ZugIaoEoXEntYsLlONvZGd2mAuv2GEdV8XXiSJ12ntPLcN2Egsqlb8umnFrf9ve9DJbAAmRoyv DvUdqQ1ledX91DZVY/Q9czZL2OWfH+QL8+78Bhif/S6o+1r8vDDLuiHtdqfhjOM3gV7SnEiihcTy PUKeaZr1ULJmsJ8o7dD6Q0aB6X/BiyUlGtt0DYTTbV1C16Lgie+03LZbxiiazjm8QZV3sjS6wA3v qOU+egeR8RF5R9NW3K+dJoztgVQYGf8GOA3CGTrcxeSoxeTId/4GUEsDBBQAAAAIAOs5NzXmHRTP tAkAAHsnAAAfAAAAQlcgRXh0ZW5zaW9ucy9zZWxlY3RCeUNpcmNsZS5wee0a23LbuPVdX4HK05ra VThJHjOTB1/ixK1je2xnMzuuRwORkIQNRbAEFFl/33MOABK86OKk7fRh8SCRwLnh3EFyOBwOPjwb kWupcmYU0yITiWF6wQuhWaJyw2UuUraWZsE4W2lRsrTk65wlskwyEQ9u8mzj4c2CGzbjWcZEbmQp YAURJZBeCIcBM7A+FY6VSOPB4PQre8V+EyVJ8WYwBKkGclmo0jClB4NZqZZs/Xy7MQuVx+tn5tZ+ qaCIfyan/v5hsZry3CLaa48zGRwFs/FnlYosTrnhHuD+08nth4ffbz9Mbm+ufv94cz14Ifw4mDq5 Oxuzfw4YjhDw8vphzO5Ovk5o8uLy6kMPF8OnoC7H5uLyw9U5YRNufXv/cHd5/bHiUi+c33w57aWb qEyVnu5DyXNd8BIM1gD9cglwyyXPUw9ZirnUptyM2YNS2ZldbOMswV3WMk/V2qPhzGQp8tXYXhpA nvKyjfhdijXBe7kAbB/MHfhPB87uMeMbUe3xCm96gJa88CCfedHZCshcLcN15WxLbhYW+PTr5IuR mTQSnL92yiTjWrN78u/TzRm5PcoZ4c/o3YAslYoZm0xkLs1kEkEszMYM9zemoBPPBuCYG36fsYev VhqzAZVRBYFzMUTsfC7zOXvPXndWIJY7004GWHBXrWWef+caVkPgwPYOoN4osnHipUmwM/08Znrj CWnDy5pTAmtJtZasSvJRv1ryVK5QBLRGrP9VmijSz6+S59Ev7p/9yiK9eZVscIb+a62kSXwOIlnT RFaKsaM56lVFuLt7Ye4NNyv9AAvR8M6LMgSWECG00bgo1R8Tm/Ki0ePbp4B7pZZrvhQEHaikFGZV 5mzYdZ/hoIEcMmjRgATqyAR5dy6/i5xNIVmjmhlGtlMqgwSN1Cgd1/pXqkxlzo3QmJD99I+bDDBr RPTSeE35YIK8nRFGW2h1wO1yDf5z/uC01fGEStmfFZS+L4XzYQGaDANUzppxVq/goCDtI9CA2qVX HLt1iwOleGbvIWafybpIDW42TWlwHLG/rzS4AFuiVCzJZPINKrBWTM5zVYoeBKigPDOiBH8AP2K8 ACvwZMHWapWlWM6heUgVkNTotljHp1xD46CsDxZKgp8Ro8DF/CggXzYmRaZFn9gnVRMB6Qe1HfcA nfs2BqWwpiHPZq4oaEiRWmJtRS0tgJJWS+F6mA49i+TVTnktrsjH9442lZho1MEG9hXXXBl2rfKe jYWQ8Seu70mUaEQC2tnfrMjRqB+7QYHQHzYFQKMHtBqP7QRwuE7O7XcGCe8WTfeZm2QBIhGDMetm uO7W/ei3ZTi6PE/K5Ac5VhHbImPjzhGzJJoJs7q+AETGy0SzKIPeVzNolgqVbeYqhyIPnXIqyKU7 vXBFgYJPGIIijjpwSJ4klFfn2aaX/RG7AIZQdSBFSJEnYsymKBH56FJAC5xq4vCdZyvsuRXLVMKz gMB3XkrsHXUdHdDqUN5sOTJMxy7zg2xhPqsQtjruTJVrXqaUci1sfGGnKrCu6WskJDio1jTsQLSj DOdqEDWbQQqE300LDqZA2zXg0ZWay8QeRhKfnlaYjEBX080rzDaBQdSsxqQ05c4x0BPTzn2yAFDY aAV7fHxsG/T3YdTdG0if0Sh+4BSsFXSWVHAfhTnDBlHOZMJRggBsJkWWboc8U9lqGcLLmUVpKrkU 6GJAhgSM7wRP79T6RJ/LxEQUbFbYy/N2FM1LtSqQfxJjGHzE28iSeyRGT014sHqBgUt4KO8tTIgS ++FWMpzBqU+gTISCoBcwAwnK+Vd4DgnxoJ9S35qIVxCVZ3iG2Y9N+iHGEFOO1DuwnAeqLT9DAFQK NkOBQfVlfgcHH7DSVD2HnSv5z02BZqk74XZ5qK48YAufNkaokKo8P9eV2qQytimrwa7dofYXJVdE 6vxJ/Hq60C5rmyydAKxBwYtQa2KmVjlu4/EpmIKCh4oEs8xF9NpuIr5eLX1la5Uxq/lGJEWy5Wrm pCw5xT55MJWljpdRrqYYxp7WoryDlIgLAvuVAntfWIPeZ5UZ+YruiWKDEHGEpZt/AMMLDnmss0wu UzR2KfLIcm/vD0fViTgVPg4BEmoDzOjhExbqh3K1rznYUdrp4cPO7kDqW1vHLivGzuBW6p7C2Dcq vaC8OyGnpeDfeiGoMmCtwmB25jebHiP4QeIj8P9U9l0A2wyFWgaJqmCy8j2+fjpAxMPE267W/4Cf HNkOHgLE9uyugRfpHErgLDhQ7vM00oFzOJfMQAlwCnPXbyuFPL6BSxc4u8139Ak6H6i5Qey61sw+ oVwo6HqoO5I6g79uOx8O1BaGrE0TqKg3u9njONyDcOzyop3INkCOena6l6damTPIyfj05s1eYJl7 2Nd7YSnhufzpc15Dg3us50dhsGI6pEek+HQQHtiLcP/y3nnLYexw9MXloUHZN2q1+atfD1B2OKwf vQhle9yH4//PSvtx7Pgha74gw+xNL+0RRFJ1eYidQb4K/q9vMQEfkFhwvCy54NiSYDq4Pp+sIUVu Wi92Gu9n+usKHXtvzdZmCMd+4auOaV/4ggKxre+E7Eur/HZh/dhZS1EGS2s7vy4BQHRI4WyHAPXN MS8KkafbT2XuyaRtsttk6MY/7Gg8p3nh446qZ97+dKP7VOO4rq77H29UN3+ezv88nbux9XQePBdq HZN3nJF/7lRchdL+o/Dus++PPRgIKP4Xjs6QjfSLDs6I0E15uxM8kTD7sntvI3ZAWj/w9Ly7hzgs 5faNPSfZXWJjBPzwwd+Pn65oVVFCfkSkn+GOckYVYM9uukR36rwN7EdFJSx/DdIDitXOO1L6vCBq vkKv3lZvf1Fdg7k0Qa/ru+QjC1S/pLdes/8dsSWFb18tMXopOIS0g9uAip18mxy2GaeQrVuJz+yb QZKWzv69b5IHAwkkIPti6lA6LvCt6R8QlpG/4VON/5H7IGIywbvJBBrs0Xir/w3jeDhmwzuh1apM hMabU2mgMtOlbkhy+hUU4L8qiU/SNAo+LIl6xCZ9IJ22NofbJdrmI2OGCsDzm9PDDhILkRXuc4gX sSa7Uu3aaWFwosERg/3bLtx9dQPdEN76z2WOwo9n4ssc2jNzLyAwucFSO+hZvjRiuV2NxBT7RmJT N1z02Yvt9fxO5yUvFtCz6dWUVqMEkoSBjpDlYm0RJPDyyY6CdTQAfPruh72vvwGivuWmtPLhRzXR ccX5eMwm0fF9dTsiEnNPw5PrkhhWJCbTzcQJO0RqgbX+9tHNj8aPT37vPIOz0NTrADfjtW+/d8vx O7Zyw9wB6bijkmOvk1rUQ5X/b1BLAwQUAAAACAAIbTc1uYCtbq8TAAAPbwAAHgAAAEJXIEV4dGVu c2lvbnMvc2VsZWN0QnlMYXllci5wee1d62/bOBL/7r+Ca3+IfOsYedwLBXJAHm5rXBIHtrvdvW5h yDYd6ypLhig38eH++JsZkhKpl19pu7tXog9L4sxwhjM/DimJqtfrtc5zzAPhhQGLQya4zycxE3N3 yQUbu4JPGVxx2UrwiE0j9ylgy9BfP4ZBu3YZrGVNFs5YPOeKGkh8dw3V47kbs5nr+4LxIPYi7q/Z kxfPvYBqW9xqT57vs3HKo12rXb1nx+wnHlHjTmt1aGzNWyzDKGahqNVmUbhgT88P63gOrXl6Zura n3QluKh/UjN9b6yPh/PV2A0kC/lbU4/Mk+27cMr99tSNXX198PbyoTP85aEzeujd/vKmd98yTl32 r1vs1xrDYlbs3g9brH/5fkQnX3dvOwVSYnfscy3mdbdze0PURJseDob97v2bREp64ab37qqQ7yT0 w0jzHUZuIJZuBB1iVX3XhXqLhRtMdc2IP3oijtYtNgxD/1pezNIsXC948oJp+KTJ8MxowYNVS/6M gXjsRlnCzx5/ovq6XVBtU50+OEauntRROpyqd4sHBZUW7lJXuXOXiS8t3Hhu+wUKn3txzEWs3Ozq /ehd7Ple7EFYyLp/qtVqE98Vgg2h3o3n+uGj8/Tclr+ar6h/pnzGRiMv8OLRyAHXnrWYD1b9yfVX XFzU6y02cYPPrmAXrF5vvmKq1PSPp2fJrp1hch8GvMWOT1usPli6MdRhAwocCBVgKrz/cGDpnP/l pAV/m82EYfID+bQT4fIHaKQvN0DEE5uEELfBilPYUtAGYbQAYXABfGNF8nT0T6mlBgekBj8TqUxo VgTSwEpX4fMAj9BiP3X6w+715W0zFe+7Y+7LmoMY9JsM+XOsdCetqY8RmuSPvBGaNq/2gMdvub8k PvXh3INuFNTsOZxlMZxmszCiM0RgMKBmty+nU4eutNhJCxt2edt9cz+67twP+53/0vFti/3FUOLo 6GgcPuf1fdvrd//Vux/upnEHjBkBEgfuglNT4Sd/Yo+Ru5x7EyEx99VL6g2N30NrciziS8qg4Os4 8k1VlIdeOKd/PWkdnxrumRDb7X7LI34kmAgX2XbPPO5PWeO0oNkJrxY7rWy6Juz8NBwNOz8PVVPT trzhcXfqNNWpXkA6zd3gkZt6J14CDdDWetPvvf+vJbrTH2l/N9oArlIzFah2Gl0xjbWN3tPrGxZq HOwajR1jItfijQ0edG4710M24268igB0EYY3eLcMfogLiQkyP4DYmKdcslnG/lGeWALO3QKkQ19l QVoOsy3mTeF3KKTTA+LPQ2/C8TBe+3D82fU9yDDCKBMGvuR6Kq2kZBgmck5PTlrwt9miOPo7/DAG lxJmJRbzE4u12a/BPkazpGwbcQ0MudvuYHjV+9lRxCrKtDA7PHVdI0ITzbJRKpU73QVj3w0gt0oV D2e7eRwk0GCmFSbNroyko4UrPh0lYSQKhqc9/c7U/fwlXeS80kWka4BHoJ9oZUHvKYfRaeEFfK+I s+TvAtfl/nBe4g/nhj80brzP3tQLHsEo0HJV0g7Hk4a33MKxYVw5hJ3RCKaC+QJ7oTsqwmqjmz3M 3bYcH/rdN2+H+GPYe7DH2Y3OPMTpFyS3E5m5zULfh5Tuut8FGd3LrTwbs7s7DvOr3wNQnu0QBR8+ lvCwrXAdeeDWniunstqV0efR/cHtVXS8Vt6+0bnPvgEynpVEwlk2aZvMP70TfKC96nrOJ59sS9bR kQZ6lp9obZoYfsKk48ycc2RMkYjZCeoSqnYnwImy89r1Bc+q4I/9q9VspmcZxYGhakzBPG4w4a+w /WfY5pMmy7qF5peJjiWfeLM1oOLY5lXhAJrTbgCfyLe11pXs2vFzLGvfqOaQFQoy8JEDs02p9enf sNNUOn5CPddipVrkJLROWtvqkqPdpNPvEp4TjuM4MOa7g3gqZ/JXqzgOA5nWF+jszbD2g+/GkDMs 2A8XrD4avf/5bvB+NKq/SqopASpQcZ79TO4puZMVmtnKiYqqEpwqMnrC1uClc3KK/HqmX4FAwWCe DI67N6PePw1ilvXahN6OsZuQpWhjp0yId1fvhsPevQl3KZ8s3t2E8kJZw0scMd+6Gz5zV35sdFyB XW2ypuUR1+j3fqmhri/vrzu3zTxFZljyQ6HXW2hpJlzFLHY/Yai4AcBS1mDFvS9ZF9Tqcxhp/8Od 4tmtqpXHseKpbQahQRHp/MQkG4CvvTjjvMIc8nAuRJ1UfPk8uUzXcfEt7XxpaP4ZMo1mGkjSVEBH jMwRcxBHYE8nf147pGMMcSsamrjFLB2xuoLGUj41HAenBGrVMlD1aQ2ufecunWabJhTCadohD+hA NO2hF4O/NtmF3fDTkoafZhtus6X2wNxPzmIupIydBJ+XCD7fLHglgKhYcrTyubbmI4/7cOgk7WwZ lC3Vj6l5ocFEDQCKa6U5M+LFD3/+mG8OXBPFoxVoQvMmqX29nqfF8vR8x4VwHzlmTnUIsSCM2dz9 zFmwwvSReBqhaZZxdvA+yVXj4N3FgnPEm9XYUHJi3OXSXztkuvOPkD6U9IUZDK1Mu5q25sXq2HK2 EWOwzbNMukQt0kvEhfkRh+lRAOcXgAl4vyPi8Qw6Ce9SiTnMXSHB9wIah9fhCvJ9nATgmISOiKdk v2r0gSPBsLfXPIZpAqdbSj4xh/nCr8F7zmCew3gw5Z/DFYYKCpiEUYRjJ/JdRiEMQwtcPBAh3nYT OB0SHpxs15spqOlYkIpUR0RqCkQcigkNOHggcpGRsGsP8KbZcL1UHk/9cVIcMqngQqrTAipFqQFY 1TwrqalqK58oDutsge5cRQHR1DLnkJjOlTJIjC197CH0glhcrWUw8ak8zvWA2QECZzhZ909bnItX YOhkaht9twqmUOfDRxPhQIJtgWC1gOYO5N1bQFMeOEbPiCRaLCKqMaCsxKhs43ZFdGVkGizu4Qqd zgx7HhkP3TDCNXTnpGXyyA95OTWxyBvPFznPc7Q6H6SYj9sATikzycNmsYwvo8hdI8JinbZyhabt S1JRS8s0sgzLFIyIoDJSIpQANXX9K1ZQCn13GQ+UMplABl0yiqQkUFvRJdpU1QQUgD+sAQAlVgtA QAI6wCrsVgfbvYAs2Tte5o2nS2MZYeU6iesG11408TlMxJVxpQQ8zA4gZTjiCYuVg5SOxU0xNM+c fsyPT+WYQj3RhsEJINzR9qJ/uzdO9iaWyuaSmGvLaFLdbmA2caWxOAX4MsyhRyXyqMNysFOKOsJ7 xAQ1wT8sYL2S2b2RLGCHY9rzY52BZ29d/bieMahqwDYMyqHSHQsH4XIjl6aJPH8kCMXFji+PoCjl QABFFoX4eSuXb2wM3RNC81D49TFU7AiiQmJQYRWaHIJ9HtyI2m+YrByeNIFGKH0MQpqA1Qv3E5dr ZkvkOsE1hCnkmXJtW978dZPHscqEmEgrvCnX2ESLb1piS44R9F8BxFZnbeiuhBHbpHhYtoXlosJ9 Q9zRj0ev8LmVXgBTABnpckwTLFzFqC0+6rLJQroAY/K+ZFwKcZB8ViDu2BYyOniDeXTZoHVFZovF 1vu4VG8v2EPt36bK44i7n5Ia+47RqmwaqlGrg8bp/+PZwR90aPsdTw+++dD25UedQwaRF0GWLKIQ gnTxmT+BLILHXVcevkNLwcLD11h1OHjJIbfeIKrz5IqoKwTUXYCGaPeDGozLUrDJY6dJ9kAqJwyq QSeLKIrBBjTBBiThJazg+gKIkqryLTHlMpqkKveibvDQk5kZgUl5nmItIv+xFiIh4/0K65D++uBl SH+dCXo4gz66ARsadOeRFtpj6AZXxCwM9FIdTvrkuzhF2f1B2LFH8Ouo2zL0Z14kaJR8iBUBEZek HhXTEoMRBbt5TBMVbemSgN8t0Bv0oHWAD1ePvRhnVn746E3kw2Uixn/9MFxCr0Th6nFO9/ORqZDz dLzjZPNzfYCK6VrecZLhGYfyzpSr+1nO4oyOZsdsFQR8gvfFovUP7LX3/MMPud7XmlOepq2QN8JB joLlwIEGy56DjSbdwe90KRx2yEBlFFgqQT8ZmJRrJmCdjki6G7aYMh82AGF5mSlz4ShkjTwVU+Tv Q88fYehBUPP0sCPoNrg98DB88TAIZS3BH+mOvJfkKr/H8Qmfyco+raRLOXaUjDARJvlGxcrkdodl xw1Dmy5Sl2G0Kr79pouNF2aBVhEPyaRcWDmH8gdfsOwwWpnlZQF3Syth+VKWSqnJ8fZMWLBSIWXu 5NHR0fc8TPL7nodh+Z6H5coL5WH4iqg+sW8qRiXhUnwTA3KzcMvnDKqTs8YbfA4OzwMRvdQazljS 2iQC0vp45orefZVPaV0pWnySUrUptVVZ6kfaU3L1FXM/U+i+yV/C47ee/X1//Onwx592vUv6jZ5K yiOERAZ848T1AnCWkrsRFUjRSGqhMRXD9GpKSJc9c/+IhqAozZzdYV4oYyz+qvNCQ+ZW0EB33QuQ IZf3HHSPQhx8k0LYDMpgIVOJAsh4BK84igqgJIOYO4EJ0u4JJ0BaDig5bEzIEmMkDEpwUpcvBgiJ /K8GCZg4HZo7VAYwCfjqIaylbhPEsm5RGNOVl32K4dBQlk2yCMxUvCKcG8uCKd8WEQ3zIMaK1kZ2 WBc5CBWwHIgMWPZEB02qLZzHiIrY3n4lCMv2sBJWT67Nsj3AlJXy5Q8sX24xJ2H1DbR8CbClUO0a D4XsjLVW9oV2Sa9YmZd9SeZd1rntQfud0A39iphtCd0KsoMsYKcsXhCvg4PROihOvKi11XCth6Z9 8ygk3Q8sUUopUALbyizqNRAouq0zKYV12HtJuJgnHYN3yzLhtolV2pwXSqyQLmGQxH2yjZEK8uz7 yyRJipCvR1vLz3R102vu3szmcl68+Ex1BjyW+8HoXVbsnsuyOitfxy5uGtY1UC/ZqmQb7c+y2r/Q u92UlBAset/f1H60JOsrSdVv8cY2CSvdXER6lMEnEzF449F2/wK3L/FTXSfnr+fb+Ot51l+/iKN9 mTfzUao9kme4sX+wkwJD5nbxsQ2ZHwyLqao36rAq6ToVLvCbgbucOKSqgjt7BjWWmwWavZyFE7Pu OSvylIK6ZqWz9rXPXXPrmka6RQu9GG8s1zHuTubqnXN8uejPx/EKZ4Rqw9gZvlnvSH3kbo0y7YnX S66wwjoz5WISeUuUBIPmKpjIX/KpTP2/fKvF+RHfUsztLEpvvGPS6uR2Zy7Y17k+kWsafAoBWW9p l8DmZm+VtGRXNFu5jmfVouhEXe2KPVZPoSbbSYGliuRmX0NvkdNtEE57U+dFe8ZsYosG5GYgxS1B 2buZgpq3vyGoXab0fNnFOrI1iW3EBiMo6dv4QK4btLPhQzHlDmc+NHWgoEQrDJEtpBY8MLytu+c2 SNdeR/fQldxsxxbfYthbpOxKU6B8ATLvUYULmXtHtjZ3kUu36Y06HnkL3DZzU4hriCHnTqfbad5g JIT1enLaGr6N89/zWVUq8hu00W9srxR7FL6Us1C1Z0phKpruUl2SjXr6vX+hUoqMjaxrOAO3so2S XE21kPb5Sqz/9HzfG45e997d39jzXL0NBG7wzY4ZNpnJNk/ryf76ks/VmmyGHwBw8B9obKJsZj9R /HBAS24//2wqjGTZvUexbnbiLglBY/XLvjydsMwGCkYQ6ZxKURofSFAVbCLBhZBzVE2gzpj7vILW 9+5CJi5p+O8Vximz5IEUM7iaBVLbEfgNjACOsZPb1MelJuO7Bxnl6cjcalgHGHE0ckdg1L7GDZIi mDpNIs7NvBMv0r6NDPfL63cG3X91Rle9/k2nn3KATBJyy2nI5d5Lan+fVRB7vvFVAsw/5Rvv7YT0 s4vriyhkMA+fMjORhn31Lpy6vmqaGT9U6yLZ5tA2tnbuX8IVW0bQrxBFvX/WW8hU7yuv9qkopEvi h8EIgUQ6tkxkyy7yYVDj1KyiPk3OioB4H48y5XqAbDJfU25F+DaIw4jjboxv5KcK0pNVm60oI1So UWmTstdPsUA48mfVuXuQa0SkmAE2j1m16IL4QGLK2di9DK5BZDIXSPlvJMdFTTfyBDSbvcpSFyQt qpCbFIyrKe2GWyQS7EuH7cLq2lJoJE1l+UglC62xciMm2Qge1y2y4gX1WHXWptjDYrZ1SB/luWB3 fBFGazpyiFc1mVYx5/Jl4rQlKcikhFaeYwmxCtOFu8QdOiWLlGvV8koRRMltQW2jLmEctlH7BsA/ CteOsXyB4J5dslB4XM+N4ZI/jPG19PaWcZm+G+TYQ3j6tZrKwVVZQ7KkdCHH3dEjlBYgbVTAF9OY 2I1XwtoNf7xWO/6TJk2pwwRfdxhtpYmySqke7etVhFuiU1vldpMFBqzVPOAw88hBQ9FeuvG8/W+Y Pjj6wB0L/N9RnzUajfBoNMIdYcqhod5uA47U+1yEq2hC23vXr7wYvIt+CrMhV+9Be/2lKNoe1vhY lJNvNBmjnuwGnBpSf8mnXt6uEidpMbQCWEAbo4IDfthEpXZ7tWAit3FFF6zobPCmWoOBMSgB0Z/V iuV+xvp7WA3z61jtbiB4BCMQQDlucA9RVXC5G/NFqU1J5swLpvaHJhh+iksvcit9FaIwsRrTVQcS Lzfm6oNCdMoDUThGYEqlbkUDPX3XC5RPvvHVfg0CcV0Am3cHJ5yjRPIRbjN+NEgOm7qFLu6wOdYt RZHaRPSVKTfAr8VF9FwHfUIj1/Aj3fKkTdsYqMXcWSznwkkbR+P1SDFFA/4PUEsDBBQAAAAIADY6 NzX5z3XiBwwAAGs0AAAgAAAAQlcgRXh0ZW5zaW9ucy9zZWxlY3RCeVBvbHlnb24ucHntG11v2zjy 3b+C6+AucusKSe4tuByQj6YNLk2CON1gkQsMWqZjbmRJK9Fx/O9vZkhJlETJzjYF9mEJtJHImeFw vjgc0f1+v/f5VYkok3HEVMwyEYpAsWzOE5GxCc/ElMEIZ8tMpGya8lXEkjhcP8WR3zuO1hqSxTOm 5sJgA0rI1wCu5lyxGQ/DjIlIyVSEa7aSai4jgq5Q661kGLJJScPv9U7u2Sf2q0iJuf1eH5jtyUUS p4rFWa83S+MFW73erNUcuFm9MjP2oYAi5kI5yd/v5ssJjzSifs5xxnan/y2eitCfcsXz8dHX45vP d7/dfB7fXF/+9uX6amh1Hd+eDtn/egybDXhxdTdkt8f3Y+o8v7j87JhF8Uko8mnOLz5fnhE24Zav o7vbi6svxSzlwNn19xMn3SAO4zSne5fyKEt4CmqogH6/ALjFgkfTHDIVTzJT6XrI7uI4PNWDdZwF l9FKRtN4laNhz3ghouVQPypAnvC0jvgixYrgc74AbBPMLZhDA06vUZuZgbvEFwfQgic5yDeeFLax 4GpetQucfC6VEpkyxnVyP/6uZCiVBGfQsGBcQcizjI3ITk/WN9p+kUMP/xsc9khHUzFj47GMpBqP PTDq2ZDhyoYsiCMlXhXAMdMQzXfADgoI7POTWEYqY0fs4bE6oGLFw0sRPak5jO5VB810MGCeqsPT AEau4kjUsHj0wnEum4aldwNQowUOfR7yJ0A752FWIzmTEQ9lJmD0Ll3CYCGmK74QtGxLJqlQyzRi fYeY+wRUYOOs40zxVBnRvQ7Z2qJEk9N4sZxlip4ArwhaqutbDFHuLF6CQ56GMnjW9MQLwA4ONbGC qja9I1tavg5dEKz8kQliZJNeqUc5M4gyY1GsSPAlpzaE/5VnI4rC3oChf+reX2UmgT1vUMXCtnod CXW6TLM49eBZxcFz8Xb6/XZ0fTu+P764GwwamMWcNOHdOgH67OioHsuaU2IzW8VRoeTpDdnpRWRU 5hHtoW3DTRYEmMu29I/ToEHdSbzba95orfZgt8NpY5gtw3CcCpzFMoAtlHR8e3t9PxiwWutVHixz XUXG7o2htq6yuQ7DKsLIyA1ieRfR9xfjVzMVPK5rwo7D6ZgEDrRc4D3bE9ABLBVV1W8N+DxJRDSl VdLu4K9ohxknafy798F26apxVyX1LX4RLZICZryKtAYOZsqo4VxZfc6QzMNMmOzDvwN7RmsTyvtM yMM+P/sDBO4l+w97j5ADJQfwd/DhwwH7yLBz33TuU2fVm6qL/p78ySVLWoFn+xWGhP2mkwKkBYUM /2KcdYOuDm0qbt9/ByNoCS3vQjpaLsAc6nKqgECiWwQKArLsIhcZkPl08Disd4F2m1ZYDT2Nro/l hOW+RjFIm8E0eIMNlKGzFA3KBGUDIvI+JAM2gyQT8qvIFuhjnqbW20dDyUjz0R6rYEwD/wx4ymO8 S7DvKPt9I/tNugf+28jsbUmiKpcddjoXwTMJEeFAjgqOOzqJABeHhJ2zgIfBUvKQ+kze8AJ70xT1 Z05PNeysLoYbUqPhdf/wEWbe1W+7lBZCXpfBIW+6TCDv4UqwmUwzpRHqYcGT2QhmuyhYjZ6Mnk7u c0050hMth2YiCfvhSHG1zO5gwOvfuBdkC8MvReD3h3sOb29GE5TTMRI4Ijq27j7a5t2uupozYtty SWbePpqPSr2cFTSnPmM3IpULRblknxmQLrce4Iqd7lX4ezNJ0s5vEjHTaekIT9b58zkgg4yCjHmh jCDzQgfXGLAFgJ3IqaDje7MiUNDAfDUTisBo0t0MhWXsmgdBnE7BbMJ1hYPiZecyfpKBLh8E8TKc Yl1giaUIFbPJ+lOC56+SXjwrMU3IIlRQtLYUnTNjHQPOggXs7u6uPnsf2dkvpGQppL/+Hac0u4AO gwLuC2RweASUM/QV4MACm0kB7LZCnsbhchFVDwSEUvWXVKCEgAwx6N8KPr2NV8fZmQzgkINsamYv zrxaSHlK42WC8wc+KvILvnqa3ANNVDNjMPQEQwPhIb830CFSPPB6VciZDEOBPBEKgp5DDxwUTEiy Sww2Hthz/FxFvAS7OsXyxGZskg9NjCFSkzoEzRVAxYO2h+sExVweXOsHs+LJANbQiU/CBP/Rx6/S iczfYXmeKSe0XHLHPfNpKHg6yl8t4brBNaQ5AVZmFNNBdfXo8g52tc/nTDMn16XZzeJlNK2eknZA VWyC/Xg4mMSvWOYr3S7fegp47DgBqCOTyZ4YVOjLZTdg1oRwCsbEATT/JLw9LVb/arnIj731JJwq jRVn9WTNmtVxmvI16pCcRJ9Eq4bsXhWC18wdN8DaiQhbuSdhYapxeCRcCpkUiGB9hqlD2HNxQPBg zhKsRkisqy6WsLF/ovcmE9hw6KRNrG3HaXIbWID7SL2QERxd4P81VuteX+l/lFo+lxMrl0hzvdja D/DAC07I/lOQh2wJpQG9zD0VNsI5snE6qK9t6vsF9XUXdXvBgNNKHQTE/l1CHmjq/LWLd8Q5snE6 qK9t6v8qqHfwXlUW4DT9xFjMg1vVduJdwd0p81EOAoITcxryBLZftRKidHna38kdbUcS1bQTVifJ R8C/Q3FRcRvqOjnxTMgYlkzDqXCnShRcJFOl2yFdyCtgb5eYsgZzHgX0AYLjyTmYN8T2rt6IDYev /9vqCdjkrBpoH/pl2Og/4kEa44rbX7Bp5syKtADm/EUwyGpgG4G3OMIvJU8LLEjE5TFAWkl5xwr0 FDCDnqVQq009iTVp+q5DuiY2IBOzcsB64ldv21QW6XNKuygMGZmZLaQwJBP8XPlsWys014jqrjaB JP25FUofNECMmM0YCSlYoAN089qQxl9sfUbmwEKZUhSHXTzvsvINDtBbcrk9hxu5e0fDqizS/M1X yaz3/WLVWyhj5yuEyVDYMSV3NPwIyuZxCMGNPr1lIfzJNlI0NTkTwnC9jnKcq73NLrCR9FvGNhLQ rrHjWPlWc8dLdQo7AOYa+1shyCiH39sKnnYEE/Pz7LMi2S20m7dEV1Y04gNSde/1rgb6JPxf8tLM 9tNic3po6Z4seatzulop2/zp45ZasZs2wDejdccAu/11VboZR7cfVv2muLVV0Ko3yxeLx20NAJgs cP5x0PL1oK29PWRhazeYPCaFcfyMyRGVXPWnRVMAhbP/CmJy1x0VF2FsO/XUSb5D7rRDe4MFyQIe Ya2kTIVL+pQy83TdRixv7RsqMXbTfsDLW1Hw3yZkOUOUTh7eGJcs/t4puSkImmS8Uo0vE2m7SNRC 6j0yEUOK9PseqS627X3IeAcWfLfnsitp/RmMmok1cDdht/bxe0kHMpXAio+BtSqrDVhgmy+2unZm XWhx3YKolOAbSWSjAl+cWDvq7a46e0Hl73r73/X2d6y31+yqLJQnNTs3AYAU8mNF7sKd6lNoV0In uDFxUc/WWc3+we8DP6VcDcGIWGktVteLV4jQDF7d4ZNIqE07tvswobdqZQ6+ubw7onp34cvxYdZu nQG4E3ND3tfFrrmF1Mpy57xblALztmFLwpSBiLgnbGKXmLgLvHkVf07WxYC985WxAQKFw/M2u86n /Z/nPJ2eY/nGjzjGBqfolrVTphRyexj8Rs0LsHS72qveIy4u7Hbf1TUBTxOlO8sO+p6GKq8qa7Fu vumgaUHKkCeqdLW5P9ArCTC7Hm+5HiOM1tX4p/peBvFLCbf7qnCvJ4EG7GloTnHmJ3i77nfQmJe/ 8EmGfz1zCXw8xrfxGG/cDVtV2vf9/pD1b0UWL9NAZPhyIhXkO/SYVVk5uQcZ5Dfr/ePp1LMu13su xkkkSKkh0n47U622MmQoBKzhGFl00JiLMDEXxt82OamX8oJuRaPJ7zAQAqWt+c8PINPE1/x3Azv2 rwj8iwhyXzUS4MVcYRrTcwxfKLHokCXNiom59UsVzGbxRwsmkc4X+5TyZA4Jcbac0KgXQPRVgnEW iZVGkDBZvnuQww56gE+/gAABFL+GoKTwOtUMfoMOb7eYeXfIxt7uqHgdEImnnEZOrkmiX5AYT9Zj w2wfqVkK++cX0z8YPjzma+dY3ZjkMsDF5OKnijSP8Hc66ZqZ4sduQyS7uUxKVreV/v8BUEsDBBQA AAAIABU6NzXlCEMNlAoAAMkrAAAiAAAAQlcgRXh0ZW5zaW9ucy9zZWxlY3RCeVJlY3RhbmdsZS5w ee1aWXPbOBJ+16/AyrUrakZhJZm31HqqfOTQrmO7bGdcU16XCqIgiROKYJFQJP377W4cBA9RyrG1 8zB4SESi++tGoy/C6Pf7vbdbJdIililTkhUiEZFixZJnomAijRJZiBmb7hhn60LkbJbzTcpyIOLp IhFh7yZNdiW9inMBz5tYLWMAXIo6A0wlCZsKI0nMwl7v/JG9YL+JnJR41euDUr14lclcMVn0evNc rthme7tTS5mGmy0zcz85KhKfxFP7/LBcT3mqGfVvyzPxX4Yf5Uwk4YwrbufvP5zdvn34/fbt5Pbm 6vf3N9cj79XZ3cWI/afHcPiE4+uHEbs7e5zQy3fjq7ctUhSfwuqNmHfjt1eXxE285eP9w934+r2T Uk5c3nw6b8WNZCJzi/uQ87TIeA4bUSH9NAa61YqnM0uZi0VcqHw3Yg9SJhd6ss6z4nG6idOZ3Fg2 fDNZiXQ90j8VME95Xmf8EosN0Vu9gOwQzR24Q4NOrzHhO+HWeIUPLUQrnlmSjzwzbnP+OPmk4iRW Mbhn6TdRwouC3ZMLnu/urHOi+MDqMXzTo02YiTmbTOI0VpNJAF47HzFUfcQimSqxVUDHzLCsoaV3 M5W3HsrQUeA7sgk7pZnqBETRYhGnC5h82ZiB+Gq8NsrBhPlVm+bpF17ArE/s7bchcEzOEtd8JUh/ b9m5UOs8Zf1We/Z7Ff4sl39MMBvUQSDqDQ5mjTJfLOIvIsUENCgUz9WAoRMPonWOTj5gkGUQklKJ w4qkzGdxypUoMJnY18V2xIqdXTTBlSwwF7k5A+9mEzFXI8iPmSXAHQo3FAATlB9o7HI783ixBJap VArccB+XlupxaQsEqzgNtEzCGUK0wRuQbxGHI8djx4pv6zzwxucZul1ApzFeOIu8Tfh2C82i8BJA 3dYbgwDLFpJ7oXlfVEw0lVuLVnpFLSBaPPNeqHvF1bp4gImg/0HgagGoz35mkNECgH365fkF/vfq eQgv+4w9xjO1rNG81jQvn4elTGegjxKq3afM2EiAC/pxHs+rUVnO4KBYbwOoUHWZGke3uXGgFmDB UzQxlAAEg9+7qjI4Tti/1oWCCr5CpViUxNFn5OCw1IVIRQ6B4pV0Nl6kMhctMFBHeaJEDpEFUcl4 BvvGoyXbyHUyw6IOHcRMAm6BiQCr+ZRj+yB1UGcyTpUW7wWrHRmk5MpLkRSibTFnXnZYQhKbCkgQ tBXYTTTpL21bgwrpraN0wUxZKSDfFjFWZ0wtiFjIlTA9TQNPM9ltoSwZOvjw3mBTkQqGDW4Q76Sm UrFrmbas0acMP/DinlQJhqSgfvubVjkYtnNXEIj9YZcBNbpIrXXZD4DDdHZmvXMIwVvcxY9cRUtQ iQSMGkHcXLgd7Zvqj6bEszyqymuKa0V00VwD0TFpVEeEahlyv98BG+N5VLAgiVPQCWImk8luIdNi CB7NsR8CSHLu0sWiPIYYiXmZLrD/XfB8VhBlWx9NO1sIRQSk2aB0vRKaRxFVtkWyq2jsHk6u5CKO tG6Rjco1xiCE5nT3AoPMw5PzkpOis9Cs0EGSe9rAAFJorxztYDDQ7eyp72H3CrJGMAwfODmmo04i R/deqAtsveJ5HHHUwCObxwLU3Ut5IZP1yqeP55ql6k1gUbAQwJCC4Z3gszu5OSsuY2w5UE2t7Piy 7qWLXK6xvidRiBv/Hh8DDfdEgp6r9OB/Gbop8aG+t/BC5Nhp1gJ/Dp88AnUiFiR9B28gGE0S8Lt2 nw8qlfxcZbwCP7zAjv8wN9mHBGNx0FBvYOdMXLDyf1OJ0RlrPneToenLPrGe7twvQ1hjJ92JE6JP J7FxWrYIINaFYUVevQloz7ImK1YAxKylmLcK10kAVWjVoPSquVynuI6nZ+8VJHAKa8ASwUsNEV6v VzZT19IyOV41WoK45k7qLM85FXzyUkqzTU/KC+x1HvJ1tT7PKTVRAGNHrLHeQPHDCYE1GjxE4Rx0 AetExS/omUQ1cidOnZ8bn8CG9BxNAFkH3gVaSmtlI+3akzu0r1tqYnfUlm7pX1ysldXKZZf7jkPV aFDsLyWgCwpkvzp4aPPQGvCWtYvCQTynPk8H+s5Hf+XQd13o/oKBZy86GIj9s6R8rdH5tkt35Dn1 eTrQdz76Lw69Q/fqZgFP072Nxzy1b3WV4eRiKaAHRefkYBX5ReQJfL5PhdpgM2eKrC6KFDpT44EY sLWmDJYUFy6ux/C9kBfwVL46P9eZxmk5hAVXASEmCowOw4uYUIihCEKO5Sxa8jSCIjjH4MGC3xox N//e66nfE511rNY9OiAfh2t8TYZ76rvlFv1n7AsxqexvzbSyxgDaXkuOHwEKvo45PEEnCxIWK6hD aCq7h04KGrs935QiQIKW4jzAR8+khqZ2i2xDakCHE6dFPBPmI4M49wo5piumk7/uLvWbcqQ/yG1v tbJVpzXsVJw62ns73N43ikLbmOaCf95LRSkVNwL7DGNjtevYMhy0EmT40yzD2BbEexX/Vt0ZlSCx H6PV8Rod1OZHeJy/KOM3gT7AoMVAPRmZJHOEtU8+QG5NhJ9tbMjh2T1bygSyIp0XFwn81/wOrg9c pUgDk9xwga8Oq4Hj6zYeB5l7z9xBAO3iJy0rP0q2XKsLiHTsSl4dxRCnlv7lUfRUK0w1sO1lxbJH 7K4dmcLW3TA+IWp7V9A2YD+J/2+nxquOF4tjfwgeHX9to7Sm/fXzkfvgj693OX90R7s//rx7eZhH j2/e83qGKlPUUfmpPrywcz+P3XlQy/H8/TVm3iMzE45vc5X9LmLTTyLlZ+yI0EXMiReedXMoozO2 gfTb9lfUQ4nqpN4vxT+gYTqhMuBRMvgex4OHsl0u8amt5vluH5gd3aXbJYxHsoD30W5b+B9Xvw8f SB7RXNvRvu+wJo3RLocOGEKeZSKdNY6okMBxmT8P6ROJ6pknPdizzsoR7VeddrqvFOce5Wmlp0bH qeVfp5V/nVb+n04ry+NG/7gvcGd833es6CKsAl47Ruw+N/zOQ9X/ybEjJCZSpePQsXp6gQzNRNad bAmC2qCuXrKjZzyU74883ejuZzoTcSfngXrfpTYGxXcdzOD4cSUK5RFIu8Amd8mJxeDAapqg32Zz N+FXxFbqXo9Ctu1mCl1eCqq3eNy9mO4rMSZmNSzdGmqVEGi68qqQXtHhSw0aDW+9ODy6VtAf6vVE eHw6OXpVxkp71xRe6OsFpDOdTey7y9PrxYACmRrTiizCjKtl+AeEbGAf+LTA/wNzN2sywafJBO9Z NO+s2NEPw/6I9e9EIdd5JAp8OI8VVHH6WdSVOX8ES9grbOHZbBZ4t9iCduXJMIjWYtz+ftU6fGfE 0Bj4LWps0oGyFElmLmR9rQK02VTbDm07/iH8hIE5qCGzN/6gl8JHe1XPv7cXjlNo79S9gBDmCut0 2/RYiVWnUUksNp61v4TjRUHTI9oVL3KeLaHnK9ZTmg0iyCgKOkmWio1miEGczYwU2MMe8NOtQ7CB u4FIfc9NrlX8CC+CgZM8GLFJMLh3j0OCWFgMC9eE6DuIyXQ3Mcr2Ec3btX+8N++Ho6dnu3aOX2xT awNcjLU/HajxFG/HwoeR+aAbNEwysDYpVT3e/v8FUEsDBAoAAAAAAFupNzUAAAAAAAAAAAAAAAAO AAAAQlcgRXh0ZW5zaW9ucy9QSwMEFAAAAAgACVMUNXKlrvjdAAAA0QMAABIAAABuYW1lZEV4dGVu dHNCVy54cG3VkEsLwjAQhM8W+h+WequSRrFQEQ966E3xKIhIUwoKvuhWEMT/bpo0NulDwZtDKcx+ TDIbz4X1agGuZ1uYRdkhhngfpeBCejsm6e5+PW22MIWHbTnDEfDPh4HT5w46MSwv50QYwk13HswC PxC+l3tKw5BS4Rlw5aNxPhQjVCMheWSLvsA28vuJOkRTBkSiC40kElZIMh3yHJMZJpkGkegQjUJI dCjYG8ou6k7pVNtKT/kvks1MQVMmbHgDc5U6q+yZS9Y1Vilz6nlqexbJgpVQF1Rgo/4NOp/oc2Jb L1BLAwQUAAAACADdZhk1hKXs/K4AAAB6AwAAEAAAAG5leHRFeHRlbnRCVy54cG3T11KICPBV0NLn 5SouSSzJTFZIzkgsUtBSKCrNSS2KryjIjY5VsFWo5uVSMjJRACJTBUMlHSBPgTNZwS8/LxXMKQZy lA3AAMzXhvDd3KD8JAUgAAlZggTBQnpQIScLRwtTC4iROAABSVwy5JsIlixGAeg6i/WQQDGaJFZZ hJ1YZJEchCmL7FoMWRSvoMsSqxOfnchy6F7BIoc1hNCDD2vQEhUrQ0ZSCZ9srTUvFwBQSwMEFAAA AAgAopAaNdaQgqGwAAAAeQMAABAAAABwcmV2RXh0ZW50QlcueHBt09dSiAjwVdDS5+UqLkksyUxW SM5ILFLQUigqzUktiq8oyI2OVbBVqOblUjIyUQAiUwVDJR0gT4EzWcEvPy8VzNEDcpSdLBwtTC3A fG0Q38DAzc3AAMxPUgACkJAlSBAsVAwTAgOIkTgAAUlcMuSbiCxZjAJQJIv1kEExik4MOSRJTDmE JBY5uCQ2OZgkVjnsOtElscricG0xmiQWWZwhVIwmiRa2JMXK0JasteblAgBQSwMEFAAAAAgAcqUF NRzP13uxAAAAMQMAAAsAAABydWxlckJXLnhwba3QzQqCQBQF4HUDvsPFdt7QKdxFW3dFyyAinEEo sB/MIIjevZlp0dw7JUIdRDl+cxaaJbBaziHJInFpy3avQe/KBhJornXVbG/nw3oDM7hHIp7kYK4c xvHINBhoWJyOlSupKcOikCauo+1S2jeuKzBxR2xe+y/5AyrFSSmG9N4Xw/TDT/Ex7USuFJkypBwg dqE/DdGbhuhNGSKZUkQk30MQ7QjfU/JvkTwY8vyAj2kknlBLAwQUAAAACAAgqgU1QgiTWfUAAABq AwAAFAAAAHNlbGVjdEJ5Q2lyY2xlQlcueHBtpZHNisIwFIXXFvoOh86ukbQjuhBx293ILAcGEVsE Bf9oFITBd5/kNklza3XjIaQ95+tN0pssxc/3F9IsjtRlfdlVqLbrGinq635Tr27nw+8Sc/zFUTIa Q48JPpOhdhhUWJyOGzJSm4+iyLXIC+Pz3CTkS2iZaGpCipSLcl8Fr7JEoBA2JOAtbMPSvTrI17M2 GQKEO9QGTW3D6LB2pqj5K1unWkaYQUOeQKUUaDj+qtJCd1jlp2BZdlpPdWj74Pvi5Tphe9jbJ3YB YZPxQG3aez1aUvIdOlBK8QQaxDCHQpgv+qEwRaItZXsK9ujArt6A91kc/QNQSwMEFAAAAAgAslsT NduunA3oAAAAYwMAABMAAABzZWxlY3RCeUxheWVyQlcueHBtpZBPa8JAEMXPDeQ7POKhkJU1Fnso pVdvFY+CiJggWGirZBQKpd/d/afu26iXPoYkb377mNkMSsym7ygHeSb71f6jQbNZtSjRHj7X7fJn 9zVf4A2/eVY8jWDqGcOibxweGky232tntDG98bgycl5ZX1W243wNI9t6sU3XklOrOqdwQzGsSQzr OFRzsstQPAIBX6HnLLMwN8BkG/HH6TI2Lq78N10GIgJXkuwbxvpk2JcvI/6RbMsrIYFeGrFSSJSh 1lrdgxFjqDVHuzDKxtDGKMpQKRpLUNmQukRppqJX5yew/gH/XvPsCFBLAwQUAAAACABYqQU1C4y/ gN0AAABpAwAAFQAAAFNlbGVjdEJ5UG9seWdvbkJXLnhwbaWQTwuCQBTEzwl+h8FubqwWdYjo6q3o GESEilDQP1yDIPru7dtM96l1aVhcZ36ObzXwsV4t4Aeuo4q4OKRI93EOH/ntmOW7+/W02WKOh+t4 ozH0mmDoDbRDL8Xycs7IaCu17UdRqGWwIB+GlBifwIjCKcUmVHUYVk180d8w6ZKGQInNw+WZaKOk evEbK5vZU41XFmNHShKlYFY5pbvZgh9Glyasmb5XLWh9YqnGP5Kw1YSMciilFL+gxTiUklfb0Ora kGqsyqEQbCyDgkqirrKZgm2tn8D1B3zOXOcFUEsDBBQAAAAIAOu0wzTGFSVo1QAAAGMDAAAXAAAA c2VsZWN0QnlSZWN0YW5nbGVCVy54cG2lkM8LgjAcxc8J/g8POwROpkUdIrp6KzoGEaEiFPQLZxBE /3vb0trXaZcew/Heh7fvXOhjvVrAD11HlEl5yJDtkwI+itsxL3b362mzxRwP1/FGY8g1wdALpEMv w/JyzrXh0vTjOJLSnikfRSrRPoWUiqYq1JGoo+jTQof+hmmb4A2ACltFhQMD6ttWXwvqXHQ0FalZ EwohmdBbx7FdzTdom9n6p/SNOEw1IaEUcs7ZL2gwCjmnVRsaXROqGqlSyBgZSyBTJfatkpmMbNYj UP0BnzPXeQFQSwMEFAAAAAgAD5bDNA7OEhDMAAAAUAMAAAoAAABhcmVhQlcueHBtpZBfC4IwFMWf E/wOB3sIXEwL36JX34oeg4hQEQr6hxkE0Xdvm6L3OuvFw2D37Lezuy3wsd2s4Aeu8yiT8pQhOyYF fBTPc14cXvfLbo8l3q7jzSOoEWHmTZXDKMP6ds2NkcqM4zhUMl5oH4Z6xfgUSmaLVpX/ocEw7RO8 CVDjbk6vNAd3sLGkK8VVTa/U0rrqT1rQPrX3Qk1JIHliF1aSoOpCRjmUUop/kDAOpeRRG5IshTrG ohwKwdoyKHRItFHWU7DJ+gSuAfCzcJ0vUEsDBBQAAAAIAK85NjXs5msB2xoAADZ1AAAHAAAAbG9h ZC5wee1de3MbN5L/O/oUWGpdJFP0xHYuu1lVtHW25IeyfpWkbLLlU7FADihONJxhZoaSmK189+tu vBrzICnZSS61x1QszgD9QwNoNLobD+6Lo3y5LpLLeSUGR0Px5NGjxyP89wn9+yX9+1/071dishYn WaWuZZXkmXi5mLza2xdPV9U8L8oD+PqtzB6+S5NrVYjv5WUGf775UWb/nTiaKFZ/h3zPVJHNZRGL V6r4Ob8U30zmzUzf5pms5jIDBlNVApJ5buZ8UcjsSvwjz4uFzDLxzQyfG9kg4/k8KcWyyC8LuRDw dVYoJcp8Vt3IQolVFgPH1VyJl+9fi8HfD6+fDIHoVMmY3s6SVImjd+//dfL2pZjmiyS7FDdJNRcv T5+enYlZXohYVTJJy2hvr9fr7b2XRQmImFDNVxOoSqnKEpsOoSAXZtobj6G98O14LA5F78+n6jrB xwPx5C9ffy3+DFmSxTIvKlFWBZQ5Enm5Nyvyhbi5fb+Gts+im1thsnwuxP6z78XTOFaxJbtdpFEp b2uPETRlnKpCQ5mXFmYhr9R4SeyPxPOiyItXOvdInD394W1enappfpklP6v4+e1ULbGV9zTSua6p ARoHb6M3eazSqJITaEmT48XJ89fH5/96/3x88vZ8xB6P33337PXzkfifPYEfn3B2fgo90AY8zVNo awN8hA8jcQ7CUEJVVFa1kdgeMURn+rEl40IubaY3ctmSIZVr5Qp/jQ8jcSrLShX00EIBkvijJXgP 39W0ai8bqnDpGuwUH9oqn0rgfZZM9ei0rRC8ta1Jb18W+Wp5rGZylVYj9uoMhCxVFeb2L6nUJvl7 WUEFg5zQOi35inypiipRZQvnsayk5fdYFaA/4rO5XKqzKi+gTPqOI4aet8nT8bMX5/jclg9FIQFB iCc297l99W2eZCrWlC2kMD4K0AO+g3948/qUXthhVagyXxVT5UbrMi+ry6SMJ3t71DXidS5jGksD N2aGB3vUUKAI3DtRyKRUsbiZq4z0jtEdpH5AaU3zolgtKxjfRAqDUcg0FVMJoizymU/nhCVoKsiU ki7LIQWAlBu5iDNZVfA6L7E8CZCgEGc5qERU+tO5ml6VItH8pFAP1H1TaBmRVKVKZ5g9ErYqe7zG RzKbqjRV8W61BuaSLEZxNYzY0m4kMgDCZioHbCEzK1BRushYzQSprDGpgQH9C0WZkk5VtSp0BbSa yCc44Ix2Vka56rRI80caBHThWkyUUKDpofv7b/NM9QXSz/SsALOO6O+fnr58+exZ37bRqlzJlEBe nb95bUrM8kq69kam8a9OOjTlR/hnaXin9GRms8DkgIX3dJXwAzIHYxeIuZLDBJVasg+PLpCyv9/3 ZJCWqswUgql/9WkE69mRVZ7ojB8eH3x5MRKP/zIUX4gnX30VPQpoLltpvjz4agPNpJXmq4O/bqBx VabOGYCOhQlxMnR5VFqqWm1QsMQ/ZbpSevSNB72T7FqmSSzm6hbG8DRZyNS0crmER6dEH5S9YQDW +DwQrK/CwjcV3FVYiFdomdV1toPqaVUVx6qcmkGEYj8eJ1lSjccDHIsjkckFqM1C/bRKChgph+KF BMZGmFXqxuv1Rs1qTfPMWCKQAyVtGIgMSC+onyQrKxzRA11ItVqmPB9+Zqs0xVRAGSCMZmhTFzEK /BOksfcfHl+4JKxp1EZDCQzQfg0zsMaxX8MMvq3MtzA5aCv/sOdy7UO+yiopY1WgOlRFv9T6dAxT Z1GKhQKtWyv8GmXGdIJTpgHIwM0/w245iCegCrNMmxXjKcwSEzm9Mrgj0SXYpZ1v6ySsn0F7nUBR 8B+I889K1xLsR2NURla74cexGgX8DfdqLd7FbXtCSNzKc/NlSARMm0a1bR0kS7Bk2hPIoHP9Y9P2 0TAUSVzipBTbmYDP3jTzKpqhVbnMM5rY9DxUMhhDaUzTsOwkXhBX//7FFxwnoPsrECoQJ0gJ+rVv UPrm+UAMejCCi2psEnojm7Wnsti9HY72Qpx44juh71H4a4AiMWmSUk9o+yigZe89cUBLxksrdS2l gz7W9mQHA43EDVyQlVkrn9510PwIFmWdxr3roEFFFY/VbQUTOSPjr9spQxgQkb5/ZH0OCb6/8UN9 jm/rnCydP9IPIXyCQSII9raBJMHbVmC4aZYYkk2wLLW1CHlVvjKemhJ4ZYgP/bYOUpAb5qA8CEvQ UATC39ahQi+L9VGYAGgEVXvbRMtgenLV42iYwKpn0OhtE2WJctUc4iahNsTt2yYM+ZltMJTQgNFv W7jRTmG9v12CBbLcmLdNIHQMWxsHE5qNQ2/rKHoIumePYsdhiKLfNqVwAj6ME0UuhTbBILXLMGRq l2FI4CwQ9S9sKrCxHG0HWR3ANL6Qk/w6mITQGeQzQjnPV2mMLgxNS9bfeRR9LWCyhr9/I2wgmIKb WOV5WDz4vyC/QPhQENMu9TZdlOPa1ONZp8kKvOYM33/ozatqefDFF3oyjFhoLi8uv4iruDRJD4Gt CJ7b7FP63AXpbw9jdf3p0D4R0uPo0SfkC9CK6eNPBwb/fSqsx66a3mxH6dNSkWRMRmruAGS6UuuR 0HYw5GRiFiWVWpSDms+Bn7pAfhgQ9gixhuAFazhHxjFXS9AdalBHGNq8jsjbsjAsj31Oa3Ez2s5h BGrGj1f6grZ7c6YPvLmf9B/yGYYHBlRSmNdCOaOV/KL4OYGUkVwuocTBByKNLlU10F5ZD3P1hsOR mKW5rAaN9BKsZswAOQYdWfLZDNycW51pY5415hleDLlS844L+LNVka+1XxB4GUepkgXpNOt5QjcW CWppVFZiuqrEdD1Nkyk4cjNVKMhRRr59zzGcfyRuSAfO5TVFf1IwVVTsglmgRdU1tNUKillTICwB UJntfTanxtOBKHgX56rM+pUoVpmQOuy2yqokdUFvcO3SHLXs4En05d5nCIVu85PoiaiKBDiWYgI4 uPaBqjsjdTyl94YtdEZs5G/vMwp4LQs0kgT8v0gyEFMmWtzNou4fg/hOwcOKpthug+FeTb6Meb9B tEK8wEU6Y8QRNHQeq0Z3w4SbVDDhDo2ZOmQsMP+iyQAreQk2k6dizrKhUqlaQHcZljGuUU6Lmtgg ETWwds4rUeYLZWN2SJdA5+iAKXScQfRi897apqFqMvnEw4ckWPaxHrTQnr3JZNx8kCT09mRJ1VOx dQZ1v3xu4gAlh6F6IcyZ+mmFgk3cWt51ckLR01IMbFjIjZOSOdgm+CkFSgfkl8UaG6aS4I9fgogW C3LjY2HiGKVpKQfAWkwXO9EeLj1EVE/QsoZMVrwcWXgYrDDFZcIeCPokqFfkm5ApbodNQW0cYWDd LIyGZYP/pA4NA9SGe0YiiVRE6X37rs+y5rOAa2Kq0lwhTFWsQHKNroBnio5lViJ16E86BBf638Tc XKIesIEnPfehBPsCQBOUKG9JFnQMFLiycfsaeUlluHkUH3RQEboP27GmKU3G0o4ajLMrUFFKLFdV hfKLzGRGdGtIHGgG2iy/0QH1zAkVLirIa5mkqL4PgigBudgoGn0+blyvSWHTo4As/JgmtVk1YaFS sFCulVE2TqV2wySVJzJVjUE8plXOhg1UjQ+QxifigR/sRlxTRWh4JydlnmLNSHEEzaBjEbjQ1d4Q yMzJMSkC4fN2s0E6FJe2BMwHaYILWFoMOH8RCGh+BcxtwlktWQQqZNr4WNv41et0GPfexvhdeAbG OlA8uxGKRlL1u9pvQ1fqIUGKZqLjnKYaWtY8RiiY/SQGe6S7TZLYTD1mGcrUuIOJHduhs4NkOU2S dmb8SAdRB/NkXSmzFIZ7Gzr4ITxBJgCu3gSFgSkDhhG1UaM8p1/COdASdIsfDiCvcjwOubRGy7ma dMNoD4Cr4Czn6x6AaNZkjKcsM95aVdBgDoY2gTCjyKtCbp+xWTYM39LGETeZhn5NMhOxX6zAVsB5 QBtdMF+MYdIdxG65o8Up0jORX3ruPTc2ywM3FZZhLR8Uve4GNJ8HYuCMsJjcjWG4TmZXMLx56LlE EjNNDfeateXdkYlBjwYSxtN4mLalpkDs5jk/Dpr58GPZ8/k+0KuLRu7mYpX97NyytHNg7XTayfH2 9sVPz9oTu3cLfrZ2Da0NB82MK8s67vVbtSp+AJktJ1LG+l6Pll62H1sW/Y1o38aguVT7n9J71uJp 6UDbUHkZLWU1j8D2wL8D+4xLEtqje6mqY2vmDIZdEaAtH+4bUtHDnSpAE8oG7nU3G1yTewtuE2xf PC3LFdqFaAnI7mnHlsrhTG1qZbaIVzAKgpYIlZ2fDz7onm6GqMxs53N6rzhfqmzsFjiNY2zFIPSF 32EIw2Ud6elKphhz1zYuyoFeuaXJ3HHI2T1xBhMZtFOZGbcLGTFTEwyXk3c0nMjRog09I+2/4yTH 4WhkOQ4ivTOT8wQFILqfjclul1NMxCDNmqPh7I8bgdC2rMDMBssId3BJkSZlhXbWYJljMCyR6VCk uV6MocABhsZoETar47l15GSx1CNSxzmDPuQPZOmwGpCvSZUHn5RckwZnlm8Og15gRUbJLCkW2kVk LcU7lkf9X6TyElVqLb/uW9w71dWSX2iOkB8Pjq/GxOKh8PtvbubY9Y9Dia+K9UFzK4G2qg/rQaQI ZdHp+IGT1wY91MTx0K7AYTALvZfGiG8J8gLte7lSZFqydu6gf618D7j2fkj+icJQXF1IW2FsFUZB m3XsSRjcSad66B6JUcdWJGwq5vBi1K172twXZ8qGGad2Z15nbj9JHm3MS7pXO0EvgJW3wMqANpZZ xjYxhFtDKWZKisX1o5zizsANzE1gYr7qYKdr1sfPfhgjcAVO57icCQoLJJqyZOqGsnUiUZyy/rK7 8CbDegemVZqtxleHJNmIUHdv/yaCeSeyBe4Xhbm+BG92Ou/dkbpUMETjMXbOoa/SJxgSuwj5FjvS pZgJW4c26K0PvfOdMrvE33Xc2HQZD4Kz7DsYaR9sYBg9qR7uh1/VF6jbP54unlTrpbof7Twvcf+B 2YHYq6+sbyPHndQfQU67g+9PHk/IqDYVv/DCdnJsfdsP2KrewdFN5RNN0/kMaKTqPH+CoWD2iNcM 34ZvYige0BZiUa6W2Cwq7oG7QLuQIJEZl7FK23nz7x1bLnEf6rhGwyNfKrtL2kqrjkJjAE3M8HiL kOWVnzm5ZbdvKAt0I4Tb4IOW0FJJYDldRyzzi5Mf3jw/QNwbu0dhonAzCNWTtoKXZMHBtK50/Fky csbhXOEG9O+V3e2g9yEK2ue+QFMkTa509E5v7mEoyUJe4v54hKActJ2jFKqawsjFuB+GracF8U8R f3wGBhlGXMgbClfgLny7Ggjza78ykXkl6JADhnpw+TJfYZPIEqxQh9JpXTVEFusNIuYOGETv4dvL k7Mjr18+/1yrkwZt5yTk0TwMiR8tw3fPTR3bNrfOT4F6awcZmMWNsirQgxp2KnuN9ZtoepfEghwn x+i6YQXCVGb34m6BZ6x/MHNjcTbYD/lHmyKwRob2TqEDHggQJth3x8IpdsU09UeUbyILuyCA5ojx qMlqoRXkpcpB2RVr++5GbV6XcTBgZ4IfBl5ZkcerKegYctD9NhrcQrMTkFNh636h3EJnJMRZgovH N7uxY6YXUlp5GmsNv5AV7Q3bFYR2WgDCAuYTWqxNtYq+U7+69mVT+GXSvTmp9XPv/vV81HrWcfPR bDCLYp/iB+HqbT5rCBXMiTih0A4RHTutEokTIwOi2WbCV7eMZsQpZjqHLhTTVYFnhUDs9CQFU1EC DytmytI2dKZTXEKdJWfr1JspMHpwMqhlCNVsEzbYeB9PyDBpjygcP/PnBdsUNLOGUFNrrIGzhUh1 XYxsPbw6ubhDF3tlwCxD1xR3AKo1xGHtuTFroAX4+8wb95842OByoet76O7aqHJQ9+GBuzi7WPrO wXTJrvgwU+gQuKKC0eHyoVPg3PNtbgHrdY+w2UmwWA3rhV7Ugso+PFcTuea5iT+WtRIe+PhIkyFY lryH4WI5YLCHJoULoo2oNg5IWz3G+agps95FredDy5RhUSmtYlLToa0hDpIzWor7Q4kD7Vi8H+nH aK+PUV4tuosLy730zvGzF7+ixtG7Zg7d+fwBY0xrzVre6ExV59gzNqfuproot0tnU8h1oYTc0Gfu WNZ/jNymalZtUjx3R3O28T24oetnPh07BFfnZweEfUGCgDLNNopS0GbjOgBHsCMaj9XoKxVwYbMy +wB2griRtMnc7PXCczoWdKKmEs1/tjd1ExDuLiNSvNynRN9NSL8AvhOE895K40ICdxmF5nSEbSeQ SQ7+LLag8ST9LuO7+4S2h+7lhBn36rB38vbt81PSmI7cdb1Tma6oQGX6fKAyXz9/cS7efXcOYKHm zKGzC9Ir4pAk0KXSWlkAopnZQE8VZQDtNxwwNe3g21SzS2zq5rbbUAZ1XeoyHT/beZeIaVHSOt42 YWpjVwfJUGqF4ZH4iN8VKmhi//D7zUKAsMv80+v1zjC/kHioIGocATHH1t8YtPse1Gjlpvt4CFbO FYksDFu58ifmfb392eHfZ/o19hubdli73XHqUcvysudu2jiklr6Lhupgoi5uvsnGoQ9a8z/rmZE9 n5mY7c5Myzd0fFNchLKxqcfCS0N03+v7EjqXBPLJj7ZDddZQWXr52QkBb+fy9HVdifuO8dYxE070 NYHhfolqQF+hlFXqtgq37PlTSaZEVA3+2q7B+7BRmi25oyC0dfCOpKZ723p92FA3bnVup8NgVmoC DUJhyj5bl6GBWQHiEO0YZaKLZjFulSX6yqgM7+D7cYvc2XOLZYNxWp/rZHqk1+/0yXtghwSqXX1S RrYb3MVTlU0kYSAgDkpbiyq+sb1sHMkxsVZzeVRw8EpCosJlRb1tXe/uw3v1NCUXMb0LKRaTRJ8D AruLDZP2feaQ4UWSpng/0qpo7TbIga56irq/t/+IPr3wZCYDO6uK/Ep9n8RgxB3iMkXLVIKIJeW7 wXwE/GVvuAVzC4sacDcmscbmLrqNTNqrCQD05vbo9N3Z2fjV0/OjV8OWg6n4oTnSDqntM2mvxwZD PUIYkNhEQ9VGtHWHrt/v2UbOWW5mxDsm0ejbWjeTkfjEQ2/YqxgtmKEG7fGCU8DiF7C1VloLHT7z ptJdvZW+TSLqIOObzZLKMhHQYw5h15Ld2QpD1vOLKZA9nFGCrY7cDmyjvfDTbXNuCpA2x2IpO5tb D7mCGpA8jjTeLlOH6Tz8M/J9ob/sQp+Ct2AVBG/gXWitIB7ab7sQ1XVc8DxqVRIbwUIdF764Nxzn jr+5B2Co3sIXHUfq3W042614ujMAyF+77Eas6jZ8894rPyuzS3N2npvZ9aiMp//XuTvq3Hwpp0m1 Rrz2uxdE32RparqFLK9MuAMNtialzUCkk6TqDZnqsYl06UsvQ21+wPs2evP07B/jt+/ePu8YzYR4 IJo0z07Ou0hkupzLtnKevn7/6ukvd1CMtmt22oJ6LwVlu+bQftuFiPWJa+AP9ttFzT/fON5+lREe 3mW1zWv4bB+aWaX6ZAh9G1PdcPOciyragCbtGgzg94B+Shvwy5yuX10soRFFoiK9tyTP0rU/Le8t YfnJwwPEuw033nlxxtbbAfCYo24gtkaDJV2Eyee1ZRwHCD75Z7SEQxh4p+eB3X+8j8daM6UP2OI9 lLW7oXWkjB3bjScvWFlMFFD9uaQBlcX4t8WfmyUkBtMWofwnuovuKtTbRWqYJ7mIk9kMt12Sc4Wb JSeyVH8KtA7dqbla8oWzAjx2MD7K4CgPidMVukzgviEUQ7jxZ7lLpTB/KnHDKTsAFNQKGrZ+83jN aCNBA460JnVpFLrowDl5e94NksrFJJZieUAWrFbsS6a5NwHrO9O7sQmtVVFiMCO8K/yIhCToc6t7 tmmCITsRFF7mwm+32/kSmmk6vsRLxKECjYvLB8P2vFif13i92pYgqL6bzZgRTaxlkYfF+ovMB41G aa9UV21M+Mii8RJbtTIOxbCHBkPEMA1B3A2CEjwMbv0OkkZBDZv9QzcE7hqOTSbj5nnvWowIGhic tabq21hBI4KBf7ZFOW0fsG3nM3kt+Eire2gBLY6pDspusXWX69fPk/4O0lsT344+/1Xl9ykF+T6t 7NK1lL/PUoK9J9OEl2lh5W4WwyLJPo5e3tboucGhf0jCWhN9fd+nNzj2aa0bt97f4K+zTPMFOEPJ JEnRlB0Aa18AvD3+IEqww2LmUSSZEB4bHhky0vFEedtnh08apxxgnJvfvNh0jKB7lNGvVQz0vwTU dggdGWb45pKe248rc+BVA+AP73jIjT4MQd42j8+3nU/YrSVIHJg0mJMf3izbbrSFAzjsJCmy1WKi itBo69BrW3TZR6qyDhXwf16VNXSZiVfvos1M1tZJmIW9e72uzgmblxVs5x+D0tI7v5vJ1dk+f7yu RkflLiYxwlCTg/9zRAHzYPTuHEk3sfj2jrAFUCQ0LGDH+Pqjjdhnyc9q0IEESYTw1UYEjIQO7rbs 0JCi9qbvvJGyfvXzzr3mwiv6CYMyNGB0WKZlodMOpt/ckLlt2Y1n/cc7WiTrTwdFi/L3O4Ys0+Ty E5xPu9f5oetPWzjbDHLrTapbZm2t/es1e43N51PwiSXqFvLJ+plluK5luK5nAJPKgJjLMN02095U 4Z0j+E3v3Bq2WRpsA9t3mduyZjG16/WgwC1s+lXgFl7XSq7yZVjwJK+qfHGnkq+bJV/XSuYzBcVX ccTejsR6RK098s2qv4x8M1ooN+inc4nXsih3zy2+KBtaiH7oCq8tdnfp+nD2PX/xBT8td0wEv/rS 6/WwmcDKM8eb3W8Z2t0QtMPT/qoW7pclOjrW1srWCPvtMrmm24ns+W92e6CGIhC62tRcCYTp0Dnm QHfiL+jtOERsNt+IBfArL+0Cqj4rabY40T2hLVfj6js+xVWW32TstDkBsMPt5DhodA3FLlDEXXom 6Wa+rh2sJyA8Uo+nNDv6zjRNYW/wxVtJghtwzSWN5tC9uYoJ7BvozxJvCE9MrJ0xTG0nSZ5ucnD0 wOmjgD81df0H2PwVOfbQdGQFgv6an/wRh7VfKOrq9KagDTlOhPet1Ze7rawdulx+5yFl2Bdv6RQt Xecdu/z4i2j9yl0NzLEiGOmqstey28nXwh+bC8nNa3uvhylx738BUEsDBBQAAAAIAPmNMDVrHX3M NQoAAJYpAAAGAAAAbWFwLnB57Vp5b9s4Fv8/QL4D152i8q7jbbqYBTZoinWOST3rHEg8Myi6hUFZ tK0ZWRRIOo7n0+97PCRSkp0EbbcL7AhIa0mP7+LvHST1gpzyYiPS+UKRaNolb16/PjyAf/7Ww5/f k3hDhrli91SlPCcXy/j9/t4LMlipBRfyCH+fMJEvqEjIeyZ+53PyNl78My2H9BP2Dql+5DlVC5qD uIxJ8vZXe98kRerxIpWkEHwu6JLAz5lgjEg+U2sqGFnlCRNELRi5uBmR6N3x/ZsujrplNNGPZ2nG yOn1zYfh1QWZ8mWaz8k6VQvgu4pBhxkXJGGKppns7+/t700m90xIUGEyIcek890tu0/x9oi8+f7v /yDfdZBoJviSLJmUdA4GpMuCC0UuBzeT0eDD+e3d5PT94Ori/Kynn93cXv94fjoeXl9Vz/+9v0fw Kh/oga2k5s3o/OL86qzJwLz9eXg3PBmOhuMP9XGBJnfjwem/wA9NNp7ug7MzR2+f3J5fXv98flYa bj1nzZ6Uz2MqmXs6TlXGkuv4VzZVwIwn6SylccZK4ozGLHPUI7wZ0Q0T+H5/b5pRKcklLaJtfLpH SIeqdzqdW1YIJlmuCCVLWvTdqwHeIWYoyVKpCJ+BWBAi+2SQJCkCjWbZxhADWABPmlgWbJrSzOqo hwB0cgBJjvCBMeaVhEFUmeEIxoTN0pwlGlOIPV8XMIZwbYYkoKoFJ88yvkaeFkxEbQomS9vwGg/H o3M3Y+TgANwPZOgWsqCSTCFw5izpkxsKAcIUE0cN2bUZ9nhpn0uyRtNpkrCkRwRb8nswAmwQjAph 2FeM6lcpV5aC63KbsEbZlviVjm50DGYV36QnyPRE4nPAgpMNcwAJAiyaILscJ+uYRA7421mT7aH4 +KBalD4+4OmUzRDvOlMBdmQyAWyqySSSLJv1DD56vmOPyRXPddg4vuCsIYwBoKe/sxIz2oWOxI++ fpuIrjfRZWyGlB4J3vZNBII+Hz813kBMTUy4HXs5IZpEHX0nO90mt3JM/24Vy6lIY1ZOs6GxUOi1 xECdXeCw6qZGlQP4kvMHBRnHGEII1L5fMKmwxJ+VMyaV4Bvjh9D19pV0jrfJwdQmk2G0n9J8mq0S TBFI6GWkILpPYYT0p8CJhvonIPNJYAPJDdkD6ylQV2NvVjFkR8h+fTdmvUinC5sIpFZGGtcW6AzI nteYLNepZBWXaQbJolJT6w5JeZUptKEqloqTmBGdrI2YKfXcO6UrqCHgeLBhKfuBx1qhFni4Nk2n qJLJcNEu3PyUy89Hjs/QKRVEKIDDoNmEj6asYWJQFFgZTASAo0po5HBXYPmCuQgj1AupPtXDI8O5 RlJaaFQsk2I7tc3AUVtL0+bpFnrbRljqyg23GlWPecJQWU/ofqGtpunWEPBDcq4QVeCALPXqr1+/ wXkVC09SzZJV/jxPWdebWPlqzrQdWIN+B9xOaf5UV6uVAICJFSSIWRW+2rExNjUZVNqk5njd7FCI bmzhIFYhns2ygGZrusHQR66SHGImEik2FLqpY9KzdsFXGTQa0HCLNMESBNMJZX3BE6vJBvoBgAHr z/teU4Yer7hgC6a1hswhHE8HCEgRGEhmerZNvNGVHAbu83JHa/ZGp/h5mkLg0kw6WX6TWOI3zN6t uiB0jfshaXoI88Tj9Vys4tUAi3sBM+yL+ni0ozC7pIqGNZLqV0B6NSNbbd0O7bIhQAxIvmTlCuCV 6TJxfL/hf/umnIFmK3nU5tmq/bBk9SJiHwdW7ZjD7XZ5Beu/YplfIJ9hm9fBtYSQyzsQF5d6FeBF R1t41pEYStoWqJ6UcAnoFnSQmNJ8S3WxYxIOfQtmFNOLsUZt0Y1MNdAmTtBbpAwzX7zBRSUrYNUC ScNkuP4OG02Cq8x7T+V2C4c5TMLSJN/1gmFnZjMpdA64nDL8AtNubXb2k74jh2wKIY6uyl0l4Mg0 yLh5I5+1mZOxPPJM6pJ35LVv16UrT2M+5sUOwN+slFeYqnaoeiYVnf72pObA9lXbOumhzxV3AzJY BScbYosMCk448lxAs9t35Fo8PKj4cIEbU+jQmLHcrWl7wFKCz2nbetz2yNtKQ5on7AGWG37foZ81 sj3MqCF+25yCA3JYi/F6+tdDP4U0vswtbWZJ9owq0DqmuUvVqAW3FNYeVWbZkv3XgOhqLvXCCm8R 1zTGGp2qJmLKYEe8bP5Ay+eiJc2hLVORkfAXcujm6tsAZ8TXTHwOcAAGfP31gRNzpaBpbGKn4uBA 9L+BHcjsXxIoB98aKF5pOtFz8eTqFM4g9yL+D8wYyi+OmdffFisnfJXjDt0Jf3ikBY0tJfx48HYk sAMdUfXXEXQ2Uw5zk+bQKMoaXsKeMzXAgS5WwtpZeLseU74sVnY1zmsA8BVo6Qj1HrFtCPFEAP5y bhtIErGHKSsc1EtNugCmio8jd+01Low3sCqnBdu6nQfy0BRvYmuwEJVy1Ysse6htImcQQuGTlajT rESd5okr7hdV7MFaJcYJXNINNpbOZ6lZKeSvlNm1qAwPOemxxza+Ydph1uc+hGqIBM56hJ1wlFZT Da+MzVTPpoAe0We4Pd1+HOvRLQOyh7KTg7HdNoqNozB8W2jAwY5Gy2wlKdmAPl0fdC8g8bDpb96y BVFnDqPAeWxZqI1Fn4cdcAgo3w6RaJnmEbzt9oj5tcFf9CECRctfG/8UAda8dX8GcKvC/MYcB7Dk i8R74bj9P0a8PdWXuHe4KfcKUYwAn0DyzRiZp/dQmWDpjI9LbwXg4SJHNa1jc54fVF6Njb2O2gad ju8twdYSaHpXT4/xDoa2B6IvpBrQ/8FskpygPCTxZFqomRCtoHbB1E05/hGMeZp5e9xbdxf8Q61K 4F1DoH94WO+PmdohOehYvHai5RD4kZaCZ8kEZTRdWtHUJ2fHqZ1f1ds+tDBWO6FBhbfbXNYxf6Zi LhsTYlondo+HgvXyhusqPQh6nvqCCp/j0TT+//Hg8FOvC8skfXMEdxWtbhHN6kyL6mmiQM1fqDRH YyzZBZrapg8XemXjb6dIsobWcGl51a3ROriX7bnzsHrakmCfWHLxSu1+Xd+3rdtCiFdTuPfUyql2 sgOOvht/gq5S7XKkJjD+s1RkltG5n+Gp/cLDGBZ40Du9bJFU0T3RS8aYkFN9o7122hlSVoaPBWO4 nbgDPBQIy5NgZ7A5ug4if0DUqsg0qiL7MQI8YFnXjo/dUTFWDQwZL+x9pmg7BcgydiABuFNQQn+k YyY1+EgkhKliy/pHBg66Qf4nfzpuS+V6vOtbJlHHnPYTWMyogwwzIoleznuk+ut2Wnqf8nrZIrnZ 59WTGYKo3JLxCgpuJC/NdmpbyGxRvayNz1UeL2tAaw9UtwSvQAnUoiovne7Oz13w+ghzHWkrH9PL hIkmLcOk4alP3aDttCkuWKsGh1625RQMPwVkQY+gzWLoUbsDKhtvrdH1wAtUcO0qOOaSFkfkpex0 nY9tuGhmwPw/UEsDBBQAAAAIACU6NjVNk8cb3xEAAF9CAAAHAAAAc2F2ZS5wedUca5PbtvG7fgVK 2yNpqqMfTdPMTS5T+/zIpXZy43PippcbDSVCEmyKZAnId0om/727CxAPEjrp2qTTcpKcCGIX+97F Esw9dlrV20YsV4qN5mP25NGjx0fwnz+z2ZadlYp/ypSoSvZqPft6cI893ahV1chj+PlNVh59V4hP vGHvs2UJf778kJV/FRYmzflXbAS4PiOEY4B5xptylTU5+5o3P1dL9uVsFQMgCj5DgG+qMlOrrAQq Cy5hBXMfg/oTArxssvIj+1tVNeusLNmXC7zfNRvmv1sJyeqmWjbZmsHPRcM5k9VCXWcNZ5syB77U irNX56/Z6KuTT09wkbc8y2l0IQrOTr87//Hs21dsXq1FuWTXQq0A7WYGVC+qhuVcZaKQ6WCQJMng 5aacIx2SqYrJ7BNnGZNcSpQxjGSEkmYOplOQLT6YTtkJS+6/5Z8E3h6zJ59/8QW7nwAl9y+qTTPn 9/HnWX5MGNN6q2cAl58fwT9/esQePzl+8pfjJ4/+wUgg7P5gINZ11ShWSftTE52+FrMUqdgoUQwG i6Zat0/eVDkv0iLbglAMzGu8mbC3mVS8oZsYyLzIgMWFmGtjMrA/DRhcp/jsVVNt6ud8kW0KNfGG LkCiBVdV6Q++zcoln/TAzzMFNAQz32R1hBoFIpCClyqftaSAXVfv2uF32awA/Pb+m0qUPKfRGDYc b/E8f/bSQL88e/H6+bsfz19ML969BfOIQOaZyiwgb8CV8otVVvMLVTWIAXTg32t+d18XXz89f0Er nn939u27mB5u1sV1I5RT39/fvH5PA3pyXUm1FNLJ5RwGXp1dnFZlycluJ+2Qo2wwyPmCNbwA5X7i UzSdMlvzUS7AMNq78TFRD4b9lqtNUxpLx0cWFB0AgMhr0LuymayKjTJuRlNhCP+CMyE2cl74JyvW QBTBSJoltXcaX2OiZK1BTxi/mfMaJ2cKVyNEc/DVGcCVjK9rtWVSNejKAHe9EvMVPJfc0XstigKn N8QJzwkFrLVCu8zTllH6Kxa4yLFVnYaJuVq6T4KEgxeS97C1UwZaFZtSLLYOyy0qGOJUwfMhM6GG VQsPm5YxZ6ky4UxgEJaralPkJC8InUAz6AtiJ4TKmsN/SkXjFTg8OIKWBrjxnKNOtmy9AU3NqxKC oiNc2miq71aZtgZDXsrecyNk4IwBmfDj5qgQH30gNJuyup4Yna05uC+75iyvYFitUKEAmREiIE/c MLmFqLUGtedMgsEXWxAoMASkzrL5RwlhZAV4KaC3N4DhGlitrmVXzZVMyTpOIFYT+mS3nrQmO0Cl 6kMkD5P0A4Qfq8RU1oVQo+Snn5Jx1CIyAab6dlMqseYvmqZqRsn3pdzU6M48d/pCaYWGcsweyOS2 GPOgJXes7UwCyikGsanEOCBH+k/EzlRVV0W1hPhfgJClJsUzOfJc/s8NRzOBe4qMxkhglrPEQoD1 gMcbFLIyfhzON4Nkj6gx0D6EPJykvd1NJENbQfWDIRGM94ZMEUwdKQoQgulahD0XB/timvmeBi+v tME11RzSPNB8wn75daAnSMh2cG+mqAos9cTguTzWg2DLBadHDvM9dgbcVVyWQwVYSKZrSn7G9IWW KMT1tSTxImYhPQSOnJLfQMadbRRCgbeo7CM33tiArKsSMg/eVg2WQh0kXPIGshbVMhWYcc6XWD8Z BwRM4D2QXtD16LlRteJSeXgwukrGM0i2TWrHrfRBJshAWlf16NHYPgdyRT6ys8YYrS1bTlgtKlFu uB0ETUoUPPw1NVqN4BZZ+tzEsrkAsx4HyNpLrw+QY1K/v/qVTySuFZJD3GQ1ruDR358CmsEpiMA9 Dd0dL21HexBa2i4DoV2BFB4bayRz1ci0f8+qqngCqXA0My4N3MyObWhSzYYnLgTZ8UUGt1C/UtHH LnRxewGO1oxsuQEIWx+iao0sCEqgrBA/+yUxFO4VpmUApOhpEv/TGqKgLiYl2K4o0FAxyqCFmdp7 naHHYlXFqLZRWCxomiDgE5oKaGpEjsbNtLDJPNccNjm5V6HnucClsgLoweCpdxJUfhCe+IQ2UTqP wrgLBHrTwWsbAc7HNSKko+BryKHgOKtK6qoHCIa9CHjbQtyAs1E+yvSTGpIVEAJ1Ezwsuclu9pER QK75drnbY5bqwWkrb806cK6DFmlmxR1CEgqO5LpWxzpRE6xlYgOj1hNa0XQqSqGm05HkxWLSanbs bNgaRRpMdfaLd2lL4UmLwQsgUOazavYBKlRwSUsi/txgiBM6nPtFTIhb5GvAQIHZkr3kagquookG 5B7BLrPpZXatYgtZQxv8aXMGXsZfHAUprDmCNXG1saNEqzYgZsI+ZcUGygb2LQRojzTwUP0EbB0f hZGiBUqeJ+yPWOS61dopjppL8wxDBAF2CdeDlsxVJncJrM8pTv7ItxFuwcxrMHdXvmqEnSIWr1AN pmTHolFiBuKlTT22cDeG4aloYLFhddEW9Lb+B89ra1BbroyqEmsYUw9mzpSgWgctVw08RBYy+CnR 3nmnzhr7RTa4IqZRaXYRWlpuO0SuZvGqTi2OBCKT4MwwOfUl05V9Z0/Q32uQcsINh6cVihKeKqZV 4/iJufKtAE7qtKoOQSueQbQaJca9kwlkGGL16HH6OM1VnoxjYGb6yA8SnYnzAiLpqMtNAGnj0oRC sjSeNfEj3wkbjUPzI15N8aqjE24lBARvzLAYxR2nz7ZtzJzo9b0sZ2K+juxkoUKBdm1ysAkLL6yh DQcYtTDG8IzKrdoWMDYamRXS0M6ruk0/zXJDK2umhd5ERfMT0jCB+GIRLcF8QFzebhBJqMnhMN86 6s0Or3JDFgnFEJkSVfp3ixBrKkAKFnXE5TyrgactV3sZcfpCYmNEtvsMiwi8cYRgE/b927MxJD0o fDVFnvIxA7euBttb+8Ri8SRFRYtvFUa/qW1YrEFJEEQgUi02BcrcBZFOwqadTMlNjY1bg13Vhmj3 tniZINESoEun9qEfHkBGVvf9hNH6gtmx2KHLhCw0uXLpOKURO4024yTUTSOQNifLyBKXyc26KOUx piWciHgBzk68Z+sNipl9ybcYiKJeoyxZKVUfP3yopZJ63eCqWT6E0CIfulBzlPNPFG7CIFJBdT01 ivSDFK0ejUz5bDq3fTPYHEdjk5mKm2i33ezPRXGigwur0xSKHtiahML0UMLsEfwbC4V9NkxsvMee vUfzMsnIhUqUej6lqlFJEzBp7IUe8shY6Fq6VXk7Y69d2eHLBOFIkYDn8tFVbApEhNb8oIrBeY+v xrGJ1WIhuboJpj65Aqy3zN52Z3dxRwzCl1DfKixQR/4B1Njp4IhheU5XN2v1rCpeVKMacJ5vMc+f nXqQHdPB7awUpVQZxEbcIbpWr4PqwODlmZxlK585EpNJDyRy/ZKIPDnWyFy9i1jGB8EzWFNtaw44 EtPEPmxhiA0wHcBwrRR/HwiG/bQWDH8fCAYhv2nB8PfB3JFTGEB992toX/3GAF66H/gDplbTDTzN sG20gnQOJUY+Y05V7EGTsAc00CuW+hEqbndez+wk0iBsLRHGTh2ycRjoXOfH78nIPfaqZ00ir3Ii VnsvMo212HS2FyW+btPjmM0jOPwdJVUM2yEAVia1YxGGL6SwP0d7dGyIRbDITcN1nveEp3uNpmfd pzWCxlHf8AW+tdQ1iH61i11CH/01p9IoyhO/XTZU2GAWho2vftES44leS+LDXtvUv/r+brS4zysI 0GzRd3XtMMj3W3e2FxhaU97ujXeRFGLaaX0vhf/Sble8jOBPSc6j8aSlpU+63TMaKntbZYcMyfgW hyISiEVsMmEkWyvuTkHb0Av7tZYQGGx/HhjfcLqJ3yET72BwNO6Fup3y771HjanAMTph+vXtyeG9 32jC06v+pxI8TFb+KseBJ3hPDk2bxH4HDY3dQea9N8IRmVMtEkjZK0YOlfLsvyNgXb50hHKXWoQE 6BK27+DaKQ/EI3JIucVmXQZ4zp6f0uBonN7Bw5a8WnPVbC3Gg8C8hJ6+Mhj+jdXv4L/mAEXEhH7n 8Kc94fezKr1jDgwCRw42ht8kuCYg3+RwbcSOwEQ0U/CFmphK4w6RFMFAe7zIAyg33IOgJSIg3vhB +sZX6v/r+iaeOkGIxu6EwMYPT0QHwqMeOuvj0KHL41y7utPpgdCkoW5BgFa4oyD4N/Y+Fq/b97Sl Xnf3g80UvePBlsqOHjD2Z7r93/T2BjCCtM3feBPYgtv+4sTvANdN9cFs3qDev7a0uHGLwOAPwPVR PttC1retHGwTGah0ZACDULvSmYMA0YwXBl1ACD3QiOMNyH4vZYhSIeZPkgcyGYJqaBLEkSrn2NTS vcbuW6uuRGimu43ODhtbCBC0tfyWGLPwKC9zCBJfM9cpnXu8rRlHs0f03ygZnvhGGiHcE9ZRl8uw g4SyGvY2654MtNV6UthhvG7Gzj6xZ2toBZCCRh4UvvFag8S+Yo929PoSk708oFdc6TQd9gF5LZcA 4U18cX7x6hS139uG0Vwh6X1Bv4GNl+nt4UTdVYQffUWF7Ty3dLyZhyZAHJtzH6EUDuqSDWkux1M7 lFassR8SIH2HIDydQidiKj5PPYvRpqeNpdBHev33YLusxvi1ffj//nLJY9IxdfArkiBWe+9IGDzW kuqHdJhm2kxkm/bIjZ7/g340Go8DcrxizSiLYsU4Qtml2S7itsyQEiR0Wsbt3IKV8Crmlnhw1tPg HHfHGdv1VFN91NwUcwQyx7pfQ0qBrQOk4XG64je3AU+vRa5WtgvfQ/MeH3dre4MBit2ivzhsCAq7 bgBGAf4pBfgjWC1rVJQuCM8Ws9MPDCNmZGvTxBkCQM1Uh6cW/oIeEkd7EOyC3bN6ndGx+Djl5sz8 2AMNpVM3UIexhPC1oXC3/KDaD6UbCa20/i2vSHopzFrfuRuLhTsNGH5q0M25dnInNmqi3Lzunqjo feYQdza7SbvauUvV7ETOQuC1zuRHHdFO2GVSQrTBcxAzge+UkqyoV1ly1elcLox7vgFQXRyzP7Qu ++bpxd+mz87e7UyKuB6V2UivXfyyi3HXmt/V2VyorV7y8c5VKj2tY4IWeLzXZhqS++9mOR1j8Ffr ZcqOfd0pZYbhMzhM+B9mnD1h2s5rt847pratnYAUDbOzxLKWD7NIw/1tuD9las3NWQLQ8RKfkbHR LN8mIvYQKsGZhOMTKg36fqOY3/baaDnpf34U6W+YxTF5DudFuSkKva+J7k+WyA4V8LHuU2tqDtUw mNMNPMvo11ARGq1PRoSJnxd0v0eK9/+CtyA+Q7SLjjEU33oHuEDPt+MI5Vvj1t8TcFAe3/oR1AM2 2qkJc2Ryn0Zo8TuohL5F22syDc7yWaKBA1i6nSMrWaIChvZxR8vegbu2PNjHn6kxfA7N0G/Ho6Hl AC7N0sNBh9GYoeIpq0axl3hmfcKm4ccyS5QBw4BFb6LDoBOhIvpqkb5NOWFLk4dqWK7fDs3FHFun vwx1qTfUo8cETPLoFs/xNtrQr5+HxyQ8H0VbOO+Axgp32N65xf3i+deQuXv6bTdth43bbun9st0i SjrQ39ub4WVDFu0/TO0CoarzIWNfaSityyFiHmIiCdi8gNEDSgpzs7OK8FINYoYUg4vurR3au276 6lQYPVOi2f523PWDvApj9zZ8T5ONJkib98m7fBMkTeBYpIMV9uZoGmEZ9jsimg5RRpFZhKGADUp2 A5FimbCt/qP4jdKh47Z4b68hW2WFWJY2X7S/h30v7V4QfoiC9Gai6U63kzv3YDQgUj0+DFgDaKoP aolrAM3a/ho21JP5LhQ/ZvFOPZvzzrgTmdCzRhe3YQELZnRBX2N651nbv/aDdfs9rvlW17Z+8CMc LhR+XkdNHPsODztBJWURDaE/kfDw9NtIPolCn0OZt98O4Zl//xMiQuMfgPba77g25jw1lOaQtz7S gv8nA43QfOBLSC6875cMeWcL+2mBLxX8LHEzx6+s8FAvNce9x0O9bYb0wtWbKtffFOjPbVo501+x 6DIaltyhonzqBvYxFl1uWnialB6Y4/koeXv0M1tgKzLzeaCvnyCrSdH+bxBaXjfl2vCgA04r5oA9 CDD/AlBLAwQUAAAACADCpjU1tAJbh1kSAABPRQAACAAAAGxheWVyLnB51Rtrc9u48bt/BSo3E6qn Y+M01+m48U1t2bHVOrbH1l0vk2Y0kAhJvFCkSlC2dJ3+9+4uABIAH1buOn1w7hw+FruLxWJfWB2y Ybbe5fFiWbBg1mevX706GuDf1/T3d/T3Df39hk13bJQW4pEXcZayy9X06uCQnW6KZZbLY7g9E3m6 5HnErkT+U7Zgb6fLP8XlgDAS3wLQn7OUF0ueAuFESPb2R/1ch3yIk8+C3Yt4JXL2VuJTDQjAxstY snWeLXK+YnA7z4VgMpsXTzwXbJNGMLpYCnZ5d82Cb08eX/dh0L3gEb2dx4lgw9u7D6ObSzbLVnG6 YE9xsQS0mylwOc9yFomCx4kMDw4mk0eRS6A+mbAT1vv1vXiM8fGYvf79mzfs172Dg3i1zvKCZdLc ARspYJUHB/M8Wxm8+uNEv10JKfkC5KHfX59+uLif3N3f/vliOB7d3kyGV6c3lxfnA/3l+9HD6Gx0 PRp/qL787YDhpQA8+Ier07uLh/Ht/cXk/uLu+nSIn4bXpw8PBrLkfJZwKeN5PCMxa/5mWQKC0BDj nKdyDdJNiwE7S/jsswKacilKmLhIRHQ7/VHMAOh9FgFGPk2Egox4wQ0ksTb+cHcxubu9/nB5ezOw Xp3eDwcOxOhmXHKaC5lt8plo4nGID+r90/ZuBzqahk9b8xXeDe9vYfJXp+Ph1cGBXPK1KHZrMUk5 LAWs7T88osesd5eB9vUGSsru5TAMoKf57DlAPVnCm+wWWdr758EByZ6dgRyv+U7kQZsU+8cHhL3X 6yGwWjPSVdTpBMfKED4qqEjM2WQSp3ExmQRSJPMBKxDxgKH2AjqY7zjfwDNsIySF2/uE3WQpEjKs A7oRoIh5Ev8kKjrhQQlBSNnXX9NHeig/GULwcZrBxudpyEZzVgDVChXuXg0Y2mTLe1scYdOM+iVo JSsXsILAp7ASgL5zPzvyqB4qsX6vRinUjqzuRbHJUzXDeF6boD2tXIHaDFUUHkRhEynXzKUGUJUc X2oqcRIXu9CmtM+cYyk3Img3M0qKJX9XXA4di9Egi3NRiBxMK0miQHutxCE3a9yO0rM5MmyQzjue SOGQfcBNK38OOdru+1C5FMVdueodi2xJvtKSJvyeVjnL7FGyd2P3YreQ7NRgB2gG/nchoqDd63iL PgZT6YtDz7D3Xfo5zZ7SnrFmypKVNs0yXfdiDSYcvAjNJk7Bfq1UbJHNGRgfthAZeQpy0sFsk6PL SXaMqxXE15qp0yRhs2WcRACBoyubsuSPysRIsOwMbby2WKclgEQCCeNpxGSRZxB0kCuRofIiqC/Z JonYFJmUBU9n4CKyOWEhiBC8utixGfh10J8MAR0fGacRqTbEFmmmiIGphltFTjM0LnnOyMIBXZHq KCVLkuwJx4tHwCgHQCfBeT4t49mynCOhsVEwmBswATOHHXFcWerxaHx9YVYXjfLYWGwSh9aHygi3 KYYx9paW1cbv4YZwkRucT4MHJdmduNKtQ+lVPFHBSRNEAtbhr3EEcd4JO2oC8DxjAw2RvANmcP03 OQaDh6/o6g0Yg1D4rygX8MyPPNmAtmAoGmvvKUUE9yzJeBSud42YH2gChkGIws1FmEHCfJo9io6h TWw9PxYndMcL0BVcAidG6h/D+NrgtpgACO0VFtDuhi/4rywyEJLWWxPK0D5XYLAJn1LMQUoyJRpL c+oKqTBCuAEbapRi/C4g3IaAEFZB+mIAg7VZwfoUGVvxtWNlZ1mWRzEkK7Cc8DnhxW+TLF34GCyw 8hNpreaM7lWoCv9ZiqyclZ6y0pjaIqVZQQhEVBlwpesau22/uvHXcCNBxK9QVAS+PHQrhyozSpjF dg2roCTr2VFlQ1UMYGtWeV/6jsaYr2n3+lct5GkMzt2rxXP2q+mR75xM3OBF2y4XSOm2/uJ+AmdO gcwDggSo6T4FF/8EhLpZNZMBXG4sNiTYgCL5Z0A1kMe3SEoRfPykLMhpFIF2dAsB0Z+LOd8kxTVY WlrgQClW/4tGkgkMSmu9/2A0ZQFulYYpOXbbea6BuobYfdECbGO23zSyUVlb94XH9HepFIVKaSBM swIxV3vUriBlswKzQ2YCRk9TYSviomvDgB4K9qqf/1dYuA5GUvGkjQhpdZQJmb4sVBDCWYE5lyqh gM3exPRsYVHqCzFRKCjGI8gyPsP0WxGCQA39zVSAK7DHvxv98P7imL3nOzAjT8LEZp+FWLO4qDBp a0d4LDuPDKzWMDXkUqTZZrEELiGGAlrvRhfX55Scn99+d3Z9QYxUL7H0YNAA9ubdDyJEI4pyrVYA LzVvmt9Jx75uGENT0GMgIXkXiySiALxC2XeGqSU4UYoQjvEpcCGAfWu0zXTNLqIMAvxKWENM95RR aaNeXujCaUx9QEhz+tWJNcN+/7iG5ksslbaw9K9vQJ30prEUJt38xttT9SynolkNOhdo4Xb+iMp7 OQC/QJWabR/YiM1UzvJ4KgKnsreHr3Muhd7XTiVDS0Zn2QbSmnRxlm33y4ynegDcbDEAVklfkUMs EM+suInJnSzEyoojRm5CJyl1Igs0MAuCUmouGtVWLLQ5tyZ0zYvrDN/+wnmZyNAOBa3J3FcMD4yV UjMzlnSWpQUHRDzdmVJF48ymSFAbBndOBgLQE5ClSirNFW5poFXVbBJWmUHH0WdIDUH6vrTx5V7l ArXFcZIE1P+jtwmlvxwDLZLGZeF7LUaZXSxiyKZLNJCZFRiOqpwjjqSrgTpuBlGRGAGFWK2LXYcG Olu8NjoRaaCnwk5O2KtjG1E1disp9iqfd/q5fIGTiSmjVNjaF5AEGsRRP0QfuCnEBL/WXcPe2uET 2EtD8ErEHBL3aVYU2QoEiMdPEM1na0BEmmPDbmXI12uRRgGO6v/RekEDXcy78qPCDvDVK6Bg+Q0t 7mAVp8FW9gcMb3Z0w7f6DdzAGxhUaqXjgZVCzvH5Bv1aJR4jRrI4rtRK91xZpBYf7bvcJkLm0rNx PG4FTw7Xn3mlaJ0VVQ2NdZAK+mazaq2/WjYy3aymWI2qNoBlO7utdEXBd8xN5sQlS+FF5uS7NmFr Y2PhS9OmUg0qO21QNbg6r/kNmmVMWguJnEBGgnvOwoPHeiHE6CIJMYvb1xlZts+bptauOI3EtnWm ylhREE2A6u8eJAOF1ze3o/ReLKoSNG3dRksLZgESFVLl7FHktqiLJS/oZaJLKLZR9mRP5qMsUVqV Vn8cFZ9YsVknQq+lbQFXtI23tId3tG+39HfXR+BNqi0TrJnjlK151XbuPgbwkF1A1JULNeWcJAd+ BGSAKxK3xwkellvMv55i6RaulApqrE8kmITOrTOY1CzLcwD0EKlyY+i8nSXx2rbSk8kKYrkErL9m aDJtNNItlv1dlj/xPCLLblDX/L+vbZVeKXDbnD6YIoPe08yuMzTiLasStYqEyYkdlFXI0Ijaw3li 1NiHtXluLLN0RDjNuZ7NcivGgU6Sms+AdDUIVMKQ2IH9GmCAQQEJRi4apinLMzm9BsEIlIDEFoMh rcDkU8BNc1RQzr5HHbvI8yxv3UAKXVMCPO5OZmsu0BqlY6cG10eMVWxZjlSnLZ0pd5WHuirRVnfz YJFJRaUhS3NTz599htrogmtq2KWAfrrYoXtG6xL+008tSucmqhs80aDCfHnUCvr4khC8dGJo/a4M gzlygOU6HyUAzHIBRjpy/EWMEbSkAxW3z0Wdi3WE300y+F/OsPFCzUJ5NWu++nTiSS701nKPcjUh 6oYKH37pxPeccheYHSC1gXg7ANRgyPG4hFEnUIPu6vOmp6XAgMY5vaydpXdu5so9jHMhRuk885mB eGnlJ2/0zqQnk6D3Loa0EGKhY/ZC9vrshZW4qXJUP0QQjOmDfr+u4qZVxEsQfDIPeJbW61d2UiRS dA+5isEROmPqSCn9ZC+iinMriLe4tSOLhqpLZ/2im8uLbYFHXQGk/V8n2DfBgheLAav+7xNvFEaq UORLZFDD/qw4MBGp1tK8UV1mH6u1VfH/p4YFteJB9NVUNHDfhxQ9yz77lr3qYB9ZqjpMev32rftR FnlASPtUXKBbqi80Ev7k6KFNstGUNCTgwBkVSNnLF/JlpTvU7RVAFk5I7c3fGMAqr+UlLOV5AfkO fexr6mwr/lmwFRb/pUilVbzBExPB7sfs8PUf3nyjmyzEfI7zfhTJjkm+s+osh9bAke44UqQGeuwT mJUsjxeQdyQJNoqQTRpC9Gzp/cBCAxioW0mqE9Mooyh+jdkDWCmVJeEUTNYPhq1Moiw0m9QEQMbA UXKC5Z8EQIGVbFPIOCrzXTdTs6ZV6AQEMrOpwCMqZMuqI5B25mVuSKUxVVGzkuRDL8lkAdLMUiOS vK9CTsilZtxZEAuFvZIoVywhZ9FmpiQ1j7dYBdwsFJrR6H4IRj2yxssMB+MciwzkSqlzpdSSJmKL geRFBdnYOu0/ZDf8BqPs0c07JVxnDZAVb64zzIhF5GSuhwzsSYzH4zwHNgBdxZ2MV3HCc5AN/F2I fiWNqUp1pyrXnapkF//Z+fWzREEmCjJRkImG3M/8IgYwLTQWGSRy7K1C7dobVdVTzeQnFZcA32Fj cRBAY6UtqeblpaIGJ1bokmq+2xqrO83qzrC606zuXKqm9KhrjpUkdx2sqkEWszu9CN7xG+E0rBq8 DXavrQqK5UaYj2lvDiEomSwinkx0A6Px7rqZGT/RM8U4+ESVKvP58nSC3e63sMtMS949l6CjLY15 708f/jK5ub25YDCLV9Wrs9GY4auj6tXp9d3VKbx6bdvmpg6NuQ5rmpq8nm++Ytmaz+ICdfYIqzry sz4SNXy5EZ/XkaQmq9oQG5uV6cbpnbbADOcISW2I9GBKi7Q+IGi+sNte3HakyumaYDMSFEuTCVo6 JR/yFnV5KIY9gugj4tQiazXqjHNVySxnZAprugcNjAoY8nrDzniZZ0+SjW4pjzanU6UMiOIjiDbC 7bXGfnjqhdIdmmhxqw2pQjY8xmKqsZNdnp9eU5PkRradlDzX6lNr5PFzh736XcsJnbBMQhhTLEM+ lfhvYD75eHXI+vWR9x61caLV0WimC1Epr77zMNBiTrD7lfkNQvsYAXMduk8MYiYA43mMTn6t/RMt k8yUbyyXoxCSusPiAjvHcXnDDtTUqyfQGiM74e3ahKTVJrdMjiVHvICKGf9MOUfrYOAh8KcJOyah PpCyzxfZGDCxLXIOew39Kf4wJZ45Dca+sFAegASlEcVyDXsGTw6tWKpOu754//jnQRfEx156BsGF 7H0CWC2FUFmnIbjfonvsA9gzGhm4Q3/ADwMP3wd82e9GeJ5DLJs7zFyKQr2FNBNSxLzAPNOTv+qw UHK1JcohZjKN3FH8GEcbnoDgYb7e+I/gGSdUp6YKvbr95ABxE53Y/KLszoFR4tjOofGiQ1A0NjmG u8GRLxAS8FdHDedmyKIrAjUCyQVxvbWFl+eLABAO1UGqGvI+Tt9DZND3bUdr99Z/voWiMH1e2EGh DImSHQpaUtm4tBOwGcCClximeBTBIwNTolkI/OndGjyXdBXikUP8qirHz/VogFlAZ7G3sWs8KTcp szLVaKvdQV9quOyx+9gt20/UWqnq0SReILsCO3TpBMtRwkuRjc2XoK6FwI8ztpUpvBqlZa5tGeXZ 165mosik1OB09G7z8vHVJ/aV+f63RoaYO/OPR5/Yb4CRr/Yf8RpH7OqzKUN0B/p3JUet2D38b0qO 9h3xTQtH25okf2iU5K5xHUzi0ybgdu7aBLzniDYBq+SmRbqsHX2LdPcd0SZde8915VMG3j4ScXuU nu/++qJ2q/pu7LRZ/9ZeLH+2ezdj9UboBqyf64AholemLN11wmSsaDX6PcTD3b0aY/3rSPQ5GD1b 5/90qESFlVzgb7hNtqQStLYGhzIcr7h4AN9rMzKg7pDmgy3TN0K8QGJDiUoJSF8xRJwK0yNSJsuD MhkdWLlxzf/KAr2zKsrhr7i8Uyz9M3Aq/9XOs8w9ygs50emV8mEWI9UzcVM9Eku+J/XPTnu6Y9pk ej23KG0ad11pH7sBdS0zcrKiEmK/w9FblTU9EyCJR0E/iDPZ1kb/yoon6yVnEIXQdn2+KcfJ0bT6 2BxgMaJZd0oWFEmNKLR+CPWKvcUkEP8eeW0w5Y9o5puEEjb+d9gZpP5kcI8646bAxvzsAgMchurA KQXL3gLDV7O8egpNi2sntT93YcmyNB2U2etRZQCWBfu3H7DV7Nx/62ytBPuvH5G5bT0/82ysJsP/ s+OsLz2h+hdQSwMEFAAAAAgA8kU4NW5aDeMVFAAA70MAAAsAAAByZW5kZXJlci5wee07a3PjOI7f p2r+Ayvpu5Y6jsbJbHbvUp3dS+fVnsnDFWenZ66vy0VLdKxpWfJKdGzN7t1vPwAkJVKSnXTv3n24 OtWMI5EACIAgAILsXXaWLco8fpxJ5oU+O+z3D/bh54hNSjZIpXjiMs5SdjWfvP/2m112upSzLC+O 8f2dyNMZzyP2XuS/ZY/s7WT2b3GFEkTij8wz9L73EeOHLOVyxlMYNBEFe/ur/u5CUxiXOU8/sx+z LJ/zNGVvp/gdfNbfm/F+4On+XRI/iZx94I8p/Hn764ZxSFxEQryHWVywRZ495nzO4HWaC8GKbCpX PBdsmUZASc4EuxpeM++PJ0+HNNq94BE1T+NEsLO74S+D2ysWZvM4fWSrWM6A7nICck+znEVC8jgp gm+/+fabaZ7N2Xg8XcplLsZjFs8XWS7ZowCOuQRFI9B4DGIUwDMAnLCdV/fiKcbPY3b4h36fvdpB Fl6NsmUeilf0PoiOWS6QWZEHi1LBgZi/3+//6/7Bv7CD3x0f/uG4f/jvLFqgStgrHEcPHo5kDnwP 7qw2nue8tL5lzkMx4eHnSggtoO4fW7CrdQW0WoNqfzVAUc5X40WWlI8gWjHjC9Fz2+I0lo0Bgj8P AtDrPKuGAlPK8sPVGv8u8zZwwosinsYwbwYBW8655MMcFClWoo1UhDwB8SqUEX6/43mTmZssEkkQ Aa0K8v3p8OLhl+HFeHh3/cvV3W3Pajq9P+ux//j2G4aPDTm4feix+9MPY2q8HFxfdI8UoqxmqAdY CsUCzDKVla4d6FwUZBMVrQkvhDELQ+UdtN3rtgpwDqvSAEwTWGxVjywXsHCNsGQoD9DUZFcbrAHU n2TN8bSby2DGi/FjxJNxsVwglucfK1URYeyBNbgwJIdgSCKU97yQIr+EZYe00fhv+IKWYkHMFWxZ iIjWHa1P9BuSgdb4XAAiy6bUTmaXE60xTicSAoBZBss6Iwi+ANNd5DGH1bJaf4jTKFsVsMTTQvJU gmQaW40wngMXJ+yvSoCddzfDnWNAC94NHm5Oh2Oadmjs6f4fhhdXbQBsNRDD2w4AaDT9D4PLyzYA tBqAq0FH/1XV/5+oPForqEBjEJ5tHTgdmtjODi0i1I2yJ8YZSpyl0MJhlPMzgDHgD/ent6Ph6f3F 7cN4eHELegE2Go1tyHf3fx69b8NSs6EciSmM+1mAxwA35hUimfbYusdKYzr45AKca4p0hgSF/+cZ uHJv7fs9Vn+Wvu/blGWWJQVO6BinXuSy1CPgpz0CeP0EOMXm4EpIsMbE8+tusHiCgHBirVkLH59J vixmQARH6BLYwImkEBtQcXLx1XNdooeDg6DQPbq7HpxXMuIDqyT7LCzmr+NUEH5DAg24VYaFSLsk qKYXnw7+FRrOj0ibvKth/Z7D34c4kjPPFckQ07MNNHtKMfaMJtlqnIgnkYyNG9QzmvBSGbghA+Z7 B14rjyOQOZ2JPJbgRmqXAOw8Yd88g7RATKdxGIM+qqBb2DoeKB9DyUNSYkpAEUP7ItBomkGEZRQB KYHQzoqYqsmAr4HEIYX0BM24UPBFjxXgEZMS/RxbzYAgojZZbupHZR+m7Q5Q8lVcQPyNAxGQt+R5 yHgaMR2LiTxSdgWuaajQHrRjOlGJJfrKHHz9IksjVEHlgi0Bc8GRZUqYuuhhPhA4c+SYqEcKC0Y4 6giSJ+H5wT1f0fclKdvz2clJM9Ay60FeLSoY2gAnTpnXiOKtOO/7DavOplPwRPBbmjUB74WQLtQa OhM+n0SccTDYHgshBzpmt1kqXMBdbdjeQ74U5OQQxneBXJiO/MoFN09LyV2aHBnzhIXXTab9kNgR iEQvECGChQrbkAy8mIji5SsQaVBK5Xps3/6op8a3FNjhmbQ+7SgYPONDHHfDJwA2zXRo6g5Kl5kT k4hPzImSJW283rCDvq9d3YfBaERvt3f3N6fXGxVRQTjcaA2KyCQ6xLDNPMxTHmJiBbZTSPUi1hLW efG80mueATuei5QyPlDzAtuKhnO9V24I3J5iRjEAyR1/RO9VM8sg1KgU1mDjbESQagDuI2zwUtp0 peBMAqa2b9pLz5eFZBOBCWMigB8kFqeWu8EUBpJZmEMgE6k005nqhqtxZg/WrVqkjgv6gszWVSjg miT54+vVeliCCOm+XALrrz+xt7BT7R31vm/6GHy0foEf8/Y39jvwF2xw+9PF/cP45nT04xiSvtFL UP+Z/dchoJ5eD9+fEibFJs22iJpcy7zs4Ehpp5Wga6cCMXyAs3ypZ+0L3Alr2+fLUY0hbzLUl1My Fu1iiHUoFpJ5NwJCZHmR5xmsp8GdfjmVsB2ZLKXQ3z/xZKneu+Z0l32YlSzKwDolWnTIZThr0KBY VZP5UxeVy8HPNxfHYJVCs4cepZhlyyTClYEb6WUahxR19T4H4nzeRWoipHSWhHmqUgC4aHBjYxjI 8xuLBV1dLqTtjZo7rip5L3uUHvVMfnTCXsNO6TU6Eh7Gsjw5CPru+pnz4nO1HE0jTxYz3mpdYeYI rTjCx/6numMmqASmew6sHnJJY8USjqRfiT69G6TDTw1n8BUL2qHa4V+MTkApkMW8bmAr70mp9MV8 IUtaZx7J3NMS+h0YwUhIrId4tahNsGktuklYkbsO09WTgXuRWELEvwSvCm+FZ+nO4ajHDvxtZG7g jZCb6y0Brix9bWdrtwHKE0g2oxJDDVq9KoAq7baRjS3VJOxp6cgbYNci+BwwqlpaYF62KLmePeUg QXMjIuQpej3WqjF8VK+f/I548tIZ28ZsRWPrFH0Nu5up0YQ79qPsGCHQWP4uO9gmbE2kgz9jA/8g cR2TwphIC9Bnux+PP4Gx/vzzz8fg/9lKsFQo5xxmi5KiwZ865Ffr+D0vTpGe1xVTzIgKFEYkUDWs bT271iujhBkYWallomg8YdApqEH7ZEYJMcQO3NlxXXpjNiGJRYNEnSVIPkmoFFftI8My6GTAzOyW SQUQwwR4xX53OgLxp0NpFt5Bl8LM9DRRW8sdH5kD+EeqL73RhH2SMUYfA9KDBR8e/d7/1IFK+jhR RfaAfr3X7yDiydwPZKa06XUZUWVARr3CI2Jtd2D8fD3p3AGa0GJrOm618AjZb0QiWq+bp0XRwxFt /13D6J1hcA5pgBrPUyh2Qa5dn+sx3Nr6qtarypWjMBcirSqWVvWyzhJ22Z0y4IKAcVmteCpxWRUC rDhNSoZnKjgPlKUWePwFaQpfJjoeQPTO8jEBxQlZDTuw8xk1KIyuExn4VZsts7My36ps09oOVSdL qDanOIPMYYfa7OTiEdeQxxnlEmhcKypGg4PI8ihOwQggvBXa7IVV+gGRsDabAx+vEeSBCKjdkk9+ hiq6kBjmAtOzNGDvIS4mFBuBA2v2SAbN0USxFwM2MNOQUwdYZ+ItvWyq5qjdugOqqihWwyZoPfBJ k5UGvNq9o5uu/Z8zkYMUjAX3jTxJytYG/v8nTWuh/tCJfkO749jRo6Nr2gQo4jGVnpoarwsTW5cP ehG1vjUYqwXhTMzB5xXxb1ha5CXzsMZZo1O1EWLWQoQxT6gYjTsrqh1bYA/6lAgDGx4RixyDO5UU LKbBZ2MJdi7AHTOIiXlZU0iriq3ZZ8G+LmUz/oQGAZkDD9UmnDiqrarGx53gMsfCO1jXNF6rxOCo 33dsT62W/f26hsxWM/CHSkFKLxORZCCIzCz6TSMACpwlcSHNIRm176PJ5GIBu2jgA7XhWErH05wT cxanDHGrRTknAwoSqI3oTEAdEKj40Oii8wH7eAAjwLsP7DSKnKXVPDepyOAJjqHvNA457oJTv5Me yYcHpOykXUSuwXDm+Qr2t8s07Kk6ONMV4o7aoqkqGmyeP6Jv8+oDDjd7I/XSCYHRt5VDTsHpsGyp zgj0oVZse8ZdhIqwLD+PU20xsHCCuuimkhVcIdNYJFHPxoWR0KI3jEKcZRMsCrF9irtohStr7vGY qdbhSfOIvJFiJGGlZ8hmz/Q5f0g5ZjNbIl43g8NcL+ctJJOXdRTDH7DLzZtDyFGwgNCvmyj9g3lc d/jYhjAKe4+SCrtdHaE4PHhEspXi7TIQq5qxas2iWwMxzTyUevnFRRObbMZt/LL50BhK1dt3YfjQ LgIkIy0HeIOGilkejagkHZzjIR8R7Mh+8XmEzBCz1iQMLkEtV/jpEeUNCKSbE4WHdjCszBNmFb5H 0N+Vam/I+i2SwAJu41TOqBjxv2SE9sLuEemurb1yIR386MqR0uE9X5ntnQ2zQRQHlU7Ki9YqAo/l kcMyNbo3yHWzjjHV1vxPGJo27cpKMhPM5t0TEzBzvUK2HM2q04M6KGFMCjMIt+CjdGajUy4KxxD9 3RzJVukZxO06VEKORaZXDGBLQRTqM1/XL+KYRVbToZFiSR7QHJb+ZckjCTuOTfGtqtAa4H1J982q Cu1kGSdSnUxoZ6pORWwSdgqJa07JIvcpwsP6w2gfcmQpxhSSQPL4CZMdmdmEavlABPu+CyafsIFV iWtFmk6JVRS3qTjA9TGOzeVqFoczjBaU++AmTPJciWlTwqTF0hxdHTvpOkqsYWJ1zLWtXpBiWVbf ePg1GKjPGqZjddQozYqsKo+cWCeNdd/z579rXO8frYJA2WzAqyyNcqkhpuy7BsXZgOR0jeAp1TU9 j27C9Ji3ZnuGSPnMaYsDC6+6aoxEnIZmhWmBB9keMgCxHUX32XesoRGCQ23se8TjvjqC7QbEopbS e4fzWAAzREmDeKqh4YjWRQBWDIkUdDe6yrrLxkrEFBUMa8Bb224t15qf87XbIbOFbi7t5kkmZTbX lKjHoqV8lxXQK1/jechAT6P31LA9HMR3Sh4XazyOq0oebgWkrno8V7IY01n/eKwdLfly+PPm86rh bgcABu4C4xw6F3d4Z+8xAMcRRbEq82UMXWt10aMwOQn+b/Nco9N1unwZSjwiUydfJHAu/rKMc9wi Q2ZpBgD/9VmUK3ArGDuXc+c6SiQKid4Gt5U6FOiNntqBe3NaK/Bb4rHOek2/YIzgz2BTY81wHUtg TUVhhyOLC1Wfpes5HRu3dmWjg7sT9nn1cafdsfPJFip5AZRrDsGWWf5fqV89kAKxm24+iac4FBSR J1iJ0/kpBIhoSQCxtrVC3dJ26WjsCcwAjBbFePcyxFoehGJIfu3T/foyL97xRYMNYEuyWMox1Upx 8w75mM1opQHNLl5OmKLtEm0PXD/Y8qNQbT2MrGB3WJi0/ccjoH5XXR9Gc63hjHr8nnlTLwoLgV2z q8hkqbVhPj8LSBdYro0Lc+MsqqoGtqchywI1LXASI3PYBRnKE2gM9dJjIV6MyPXeboasCqvgzZ94 nFTlehxSU9t8N8Itxv2jSnc1htrnFBnMS316b01BAkuZKjHLfI0/VfhtRsy5dgHaB2gngF7AYLTX mcvIDU/jxRLL7qQ6Fd/pdmBWaB+oJqpGej4r2GUHAeSg8VQqr5Kn6poyKV8XoNxJQppAjf7sKbGc zlJ1lrqzdIU4DNgZ2YBhltV8OwMe21jGJUZYBJrG+jhIt2YtO3Nwlcl1yQQpwYwneueqd7GK5rHl QzKIi/ZSVzaEGqMkhGYSKJEi/Df94Ag+PLAG+APWQS1dyKVBLjVyaSGXhFxq5Aa6nnhAxznYs/hR U2212NmGZZWIC7zBDDnIMKLTZFl1o+pTVUAdayv0Kcs7GCQ9V4r2mhzgKYzAe7blWRIvFgCis5EO wBFWThwg0rIrMunOlvlFd2sswUxT0a7TO13A0EUaWXJ1agTyBnDf5LUh8Cln26ucawfNr9aWPfxl lofKLeD9P3Kf18rPa4OvgQngpLoLqKV2bgB23/9zLvo1uYSpInJI3W+ZrNYqaaUlo+5UqtrUaxT4 0lnBJMMZFYE3pxFqvqqwQxdz3egaNAJPFFZ+O7RbURNYP8Yy7/Xp2Y94H91vAqgCcNe/NWialYk5 sGldTqd1V3OXFoWm2kNHNraa/v7IM8RE5BJV5AiCSr83+2/v4KgH/xFf+9+DCSnntq9c295BvyEZ Zj4Nki8Ppq3BScamP6OhX+jR9Gp5TkjSHgjTU9pUt532D/s++m3T6Wv1atldq3ne+21wfM7Az7i4 L+LLWip6DW5fKzqB1GEX5rG5NBbmX7rB9LX/+Zsr6v/tRWSwpVhLPRi+NgZ8gKYLui/q7fR3rEFj 2OWpO4QAWyO6ABWxLoBCCqpc1H1731t6xAzmwDpCgEwSm1ROswdd8HPEKEvss0W8rjdB4CXJZ36n rUFtU54xS6J0RIRimJCosqWpu+yAjZLYUOv36EXI9oy3rLVpO6hyiJniUd31MHZm636qphU3mO95 cU33NFpXnfT1DatOaAA/Hn/qAgVXpmpIvtuLkSdRBU8E6z7sSIKf1LWRzitX+NSix7JZ4zKPdmqo Ai8JHhAQDz5w7um3WdgyD3btnZBFdQMQh6Cr5uHYBl7xqfgNHZzNCAD322+g7+T5Uzj7KczRKKF2 HpQ2H5wRLBCoIbfIgA+I/hgMiuemx34qL0mz4UXhC++Eg61iPPJwvvYiPWVfcJ+cWX6lZ3mQl16M f2weM/Vq7W5Rp3ls6yNS52qLTw1fcjkfH9LB4ZtovWeJtMWEG7i1OStwKxJW+eb2WLgpO6yKKSfV v+b2jIv42uhk0t3/uTyvQ7C2SDR9rlD6HzppBp9NTkw+sndkEpLDo2dn3tM5zcHR/pGT1ewB7mH/ mQn3bTF1LJsIucKioJvwm4LbC8LULjtUUNWJmQ1nyvJJnDo4dF3kmB1YqOdnusjYGFazghuyI7yv xSfZk0PrPdnGMTvs1+X6YU7Xe6p6vVs/t28pEiQVQ/DaRpLgXwXNvtN1XVOAU5cWUUTn4qKuy20q /f83UEsDBBQAAAAIAGGGNjXQVJn5PwkAAIYlAAAMAAAAc2VsZWN0aW9uLnB57Vnrb9vIEf+uv2Iq GbAEyIKToA8IdVCfz3UMOA9ELg7XIBBW5EpijyJ5XNKKrrj/vTP74nK5lJxrrp/KDwbF3XnszG9e 6xHc5MWhTDbbCsbRBF5eXr6Y0t9XsDrAfVbxJ1YleQZ3u9WbwQiu62qbl2KOr9/xMtuyMoY3vPwl 38BfV9u/JZZgFvPXgxFue9wmAooy35RsB/i6LjkHka+rPSs51FnMS6i2HO4+PMD49dXTywkSfeQs ll/XScrh5v2HH+/f3UGU75JsA/uk2iLbesUyWOclxLxiSSpmg8FwOBwseMojqfKWZXGKBPLzYLl8 4qXA78slXMHw7CN/SujnHP7y6hLOhij1bJHXZcTP6PU+noMwrGbFQe4iu1xc/vHi8k/w4uX88s/z y1f/hH/lGatQFpwNBusy32nVZg/JahblWYYsUMlkV+RlBR/qVZqILS/13h0Xgm24MOsP1z/eflwu bh9ubx5vv5/C4s31h9uF/TAYDKKUCQH2lGPLcTIfDAAfPO1bliFTaUB7BrX46H5Cg2YiEZWAfA0M kE1Fb2LLCg5JLAANKJmk7CC9xCrJBMnQ4pnAL7ngaj+Zn9be2gMJUfOYUNRSQyvZPidcXMA1xMl6 zUueVVrelglYcZ5pYmSWS6ggbPa4xCSj7qOILY05g3BwoflGKUcMxlrz7nNdbuod6iPm0m4Z36eH hrGSgyq9yzM01xqy/KhGiH1DqyV6ziUrKP8oNxhByr5S7Qhxtjmi8TdTuauzNKQGiYxAAgiqibbt 4+GdYCZVkgyQL98V1UHpoNf72FCeaCxHX2RA00vM17BcJllSLZdj3LPGIDBkuOkeFxKWJr8EY4Ee vQONlOXVlrKLe2SRO3TWfrhD2g8NYvlU5mQBx5nDzlzV7DtpPVOMryTf9ormcQWfPnsL5jDvC/pL W/49pPxbCvwuhvO/s1TwKQyrQ8GH8yFCYfgrAObtH+A6jnncWFCG6tKkImnHqf4oFTM/pC5TxE+y STKtrW9wlJ+xdA73RNFBOGHIC30j1vGJBJWrAEJAwZpsWZU1KlFL/szjZnlorjNi5ihv6NU3JPcV NHRBVyVrV6nm4PRIn8jVsZ/DGw9PuqykWm1WuDZ2UdExtCNTp7QWPOjh6PvjBI2E2R2vmnoy6TuW Zyr3XNOGs4HHpIHXDaXZRoCCl7LHXAPybY7JP8GQqXJgcQzncvkcCoZdA0dMuf74R6akSZREdUkl w81yJuywpmWHmY8rUz38OrHi2EuoPBFhQqAjUcKz1GHYzhyu3MlTRomGq2Xkcu/DH6CGe56mPTh0 IuOqSUqYwdoJxAU+7uPZOOTvCbyGy8ZKo05C0j7C7otCkMpwXXnbnSx1bLMSv3DFf/o80TmJUU4y OxvcNXmpLyM5UFto8z/QpkBB+MiruswCSV36EStRt+yVioQM4fpAf26M1Sjxhonn6iFT0Xpt0YiC u4A+Krbl+I4dFtIv7ZDrsUdTzjsgVuGC1c0JJreUC+xccTfWBCYixDWV0byMG6saPk6AWEbV1usJ wpgfuSfX/FpQawFNbw6mt5CfHDudcBQ2p5xRnc+4aZSdvi7gKgo7R2kZbf2KjxyqYLD6Pm4QFnTw osmUm+SJG5N0iq3FUk9O1VEX56ZParz0vqT8t0+o2TBlNZwsZflP3HzZxLvyqJVXlDxK8lqgDidK NWLOcjmSMteBmOkr463M2lruZlTfta3tgeT43Q+BHV6ie9FObxItvt+7kT3VRvQatKksqFeg20FR r6qSIST0l164aK0VapKsiVNTXrPTqMpla8pS+Ikf9pgRmnoulbLNHP1wE48Piyo/XetbCGZpyVl8 aPi0cGxaA1JT67EmW8CYaNHGrE6rCezYT+3K3Zzc6NVNlm0jsM5Q25qo1miJPStjYUBuaY93G9A/ IloOelQMCPm6pncEj7ZkKin8S5EmUUJ+wHkjN7VB3fTsGJqnqMsiF9zhIf2CyXOPiEHdGezqiq1S OsnPNc8ibpcjlsGO2kHiDkXKIkcxG0okcazDzludUTkyeV5J95Nc4xQUuGVPnBC246W+M6FSmEho eCdQYMUkhmT7PDuvLLEyLRH3DCSjrpXbbZzTgsmhuLJhfAXDuzKJH8lew3a6Gik1O/ODCE2In9Qo +FlyRKohdt/QopQs4W3LEKsDRBhMFRV1gnOkx39rqCzAws17MunbkGEqajAh6PuAWujhXDYRAV60 1XQmUrxmgQOtYap6E5+UggSH4l+7POnWMJFKNXqaUSTcuZrHUoaKs2GhxmuflB5U6VOCDoAX/Zy1 Ol9Lb0MD98zIZt4k1+wxAeKvmiTqnQrgD1fQtlH/Ab2KZxu1k4alJzAemMp6Qmy7LneNEx6Hu5Re +ZZk+sw3veqPAnxOEpnH42ROCQtTpx/yTRK1dvH0WRFuKr0M81CgP+R5gZFU5vVmC5xFW9PQZja+ ZMGnAC75Ln/iTRUIxBRdZ/MvSECZwmoGY7rqkN295tvd04WiEmfblt8WLFV5CC/Q4wJ1psSNk8mz coB5TPVd2KIUjJ4T0O1y6qhznLix1SPWp+A2/iXiRdVvjIKJ7u0r+k2zDhOGorV1jq5b6fl9QvWZ MUEgteoOu2KOiaAHY8KSdy/d6DleIMLnwgCBU2CWG0+YzjyuljNWFDiSI5g62wMOdCkVgWdlnQ/f YW6wG0PIeWYhMfd+waP8TrXkf4RKays7jZ1vTBd3Dhf0v4WYeuf/m7KHsjGl+IrLwMD9M6ZPlZBC 03J7/r02g6gyUK7D2AygNrecuEDR42fn+oS57P3uWcvUojosdKnqF0wjwzHhZpz1rjWouhvR7jir +DarR/57pXChbezdRajLB6pMkx6cyhen87mARcXKylmUtx66m3muJ23/FHKn7FXaDrX/UnzWqZxb FHk0/3bmOk177uRsDDq1w9aMkkb28eVURdy7eqelT7zKYUJERyb9kt1C83S3C1MJ5C9FdP893Sia bc+I877Y9kdZK/mrrvENlTXmffbEy3Z/sZ76Fu2aNpQxHZW8qdDvJRGL5+r13MSzvnhq4NI2b3co +0YebbzU2ixbnWq2ZWKJg55yUqC3iHkqdZPrnwOVvEPhbHdPYw3bjJaWooHAf1epflOFemZl6kNt 1wh9Feib4JsIJGUr2d1m8eA/UEsDBBQAAAAIAJBGODWlhAqjOikAAAauAAAMAAAAdGFibGV2aWV3 LnB57T1rc9vIkd+3av/DhEpK5C7NSE42d+dabY6iaK9qZVEhaTuO42JBJCQiBgEGAC0p2fz368e8 MSApr/O43E0lXhGY7pnp6enp7ulpHIhBvn4okttlJdrzjnh6dHTcxX+f0r+/EtcP4jyr4o9RleSZ eLG6/v7LLw5Ef1Mt86J8hn+fxkW2jIqF+D4u/pLfim+vl/+daJDeIv4OamHF6TIpxbrIb4toJeDP myKORZnfVHdREYtNtogLUS1j8eLqQrS/O/n4tINQ4zha0OObJI3FYHT19vzyhZjnqyS7FXdJtQS8 m+soEzd5IRZxFSVp2fvyiy+/mM0+xkUJXZjNxIlo/Xwcf0zw5zPx9D+OjsTPW1gpWa3zohJ52VtH 1RKf3BT5SqGUb2dWzbt7WeXuXr2+LZKFB9m7SK578zzL4nkF3ZIVrzbXaVIu48Kt+zJfxGmviq5h fLLm8/Phxdn07dVwdn457Vo/z0avTi+GXfHHL78QWMybyXQMhOkKwjOr8tni+sb6NS8/ylYXSZTm t6VqijvxHOYk1oNYxWUZ3ca6zuT7/tVwMpsML4aD6fCsKybDyeR8dDkbD68u+oPhWWhAPpJpH3oO EC9HrxHFy/7V7KL/djieqGcuklfnQMDVKs/cjp7Gt0l2uikfBpuizIuufDzMFuYhjuPufvYxSjcw 9od1PFtFa+CBvzpkfUYT13sxPj+bve5fvBrOLl+9PB2Ou5K0fvEnoQ7//GLUn+4G55mqg/Pzv2Hv x6M3mtrIvPZv4NvfvRqO385+GL6Fd4eTwy+/6E8Gw8szXBhQWf+AmmdD+435Rcz/5RfzNCpLcRZV 0RQZpU1dunp4Af+hB6dRGXeeYU0cQqvVelNE6zWs06jIYcGKSK0U5t78+k/A8KLcJPwbl2QEKwXx AbDCs4hvxGyWZEk1m7XLOFV8Cl28zDNqUFEt1KGeA9sxlfFnL9usZvM8LQHZUeBVkd+FXgHEZpXh m3fvvVd217xXk7hiulGdjj0+/coanz0wBzX9t3kc9Lp3uVkNuJft0JjlwHTdMfxu6y7pquGB4kQl IslEEWW33GfdAbvXWOCZboc71E46bhW7pR4yTLZot+F3LwMp0xW1tfkO3+GP9x3d4wP5H1HEf94k RbwAqQSbzqKkzuKGcHfvMYbAbae4ieaxgwKn40VcAUEGwLTVNK+ilFnHGlkRV5si454Xdk2u4mAC 6l7HBRF4Gxo1KzZbaGig3G5oJL8NfV4OV+vqYRCnqeQrwN/FGQlgOdKUxFZ/CQwpiOolzjPSj6dQ wBKOxdUD0DYTcscU+Q3WKBUdNennsNSXUbYAro2yB7EAwfEE560r2lEp0hy2ZPgvIh8uEtz5oK7C MY5xhwfZQTt9WcErrooIRJXn3Y7I8kr8aVOCCKkK2N9LxMa9VVgGX3+tetlzyPoax7aVKvMclJQT a+X1ULeAaeyXZ8m8ahMU/DNLyhlUTbIIGf24U6Mso3pnczly8Pt3R+/fezIg1Ksuz4PduTWI4Rrj T/IViNQ1alHQEzkFuo4mSJSmsDjuljHPKkpMkcUxEjeHzb5cp9GDSKPrOC0dggEHXuBTu4thTgoN tNYBbCyG5Qd6WUwd+ZDABgGMFBMn/LJQ0w8VN7BWrx8UAuhPtEmrrljkcZkdVtD7OeoORZI+ALd9 ROYQ14y0BAHCDAM4NGtloGp+hMqgrGIlv8WEuPlBfMjyO7GE/wM+UM6AjSqXh6aA+BJa2L246iQ5 3kESahc6h2uG1hGM6Cau5kuoCEsBOD5HIcdDUIhivYqEGg0tWNCeoQmU+A/5BtuJM5CKc1SnJX2e lBFg1zRODHNYQx5EmVo5/bLGpZWkhj38AwG7/zJal+IOGlvmm3TBPZEEJekBYvjJd4sctN34t2HK 2bTWVBYnJ7pNexlBLyeP66XdlDvGABxrQjQ40yZIhfPFNB+xGDCNJgu7HdBpxtwUElfJDBaeWFvc Jh9hWcKcJhUIMtaBQp2U4shtlJuzKQEV5Mtpfr6QvZLNNvcrWTR2ScLu7pfdrGqQQZQSOdlcl3Fl VEn9l6M/Du+rGOW+fovMywwUgd6IKLCzpMzwqpcSTC12XApRWiLHI3gZrIrsDujAaoC/obtocckO 7KmDdkX0kmwGVkiB70/fCLBrkptE9QSLHkYvhKuufcHwAG0bcTsTK58zLL7tcrcDGjGMQZzfwPCw f2hQA/FjspA1FwLcOkKDrkLhB4x3m6FsMTiwsFAEwxsqZLlACwlpC48ZAz2uFPqkwgfw92bFgg3I HZVzmEvYph32weKNGqXONJ9K8oYV7GmOqhwaaX+rY4FO8XQwOZ7VRiKJxa/hl3mgjSEPCEugc5b+ 62nSnTq8pzUfdUUQMNCybt0a+7vkPXQgcSvHqT06Y7/91NE8Oe7S//5BowphEE+OxRN7vKCg+FMb GBMyQqCSz0RulfqY0jjjZQiLWzQQ0x4G1oWxeFOkFjUM6oyFD40NkftdtywbueI9oIwJowh7sAW/ qmrLFyxGoNxK85N7LwVL0rRHuvPFdRxcL8w4duGyhky4HCHnjYNRZfHdpRq7MxAswP7mvfjZiWta +abppgA1qVK1vcoBrrEMZ9OKWy9aoEGyArROJWBdt7UAdtQ7kviu3eldFTmqtESVl+wXa4P92mMX kLJh1ZswO3YNwPj8jL1pl6Pp+fO3s/HozWTWv7oC2YCuNavLHWGt8Kp4CK0v081BGkfFJE7jORod tpshvp/H68qDxr1BeMXru5n9PUy0w8PD5EZOTF6p3dZrFDYtIDcKt/zOkx0Abw1W1atxJQBaW9Bu u5AxfQ7TECsat9vlJk2VUWx73tC8V88d5Ulb0NUyqsSiiIANL19dXKCVHIFuD3YetA+G9W2qFegR bvLK8Ec/+wKm9zaqeBePYI8vVjAYbSvdLZP5Evd61hMjydeoWRidAiDxAaj8YKdv0MXd053comBl eTbLYNCzwhqdImADAXY4+3yMuEb9Z3aPzoBosjfYIKyVqirA8px3iXS2YZGUvBJiR+UnSkIr1F3m Fs3Zmqcd8cUQQNGA6rKYow/xNJp/uCWHKnrO27DMJ6OL87NOsG6xKZdYRf8Bdny+KdrH//W0K9Q/ HRIWjCWI5gp2KKgxHfcvJ1f98fByOgPpUa+K9BornmojiXr3TKreg/wvGCnVUv69jPEkyZYbDXt6 bZKopfaOOakLxqZiTZ7nfjuNy2qS/CVu4oKAXGrosY2sEY1jyKbAAU1OP0cahFvsGNlBkoy2dr2F dM35kiM1+uwS+ggiXjrkbZ+9qvgG7QfaClFIlJJ4yqOyKeXZHNtICdgBIE7sUwnGos58eng8VpKl V6rtRMQgUMDmxP8Yd5V5nUhRs4qyZL1JI9n8HJaEaCcgafAgEGxDq0sdKa425QZsyAdQ6vCsMGc8 zhmKPoy6jvHcsMS9EX0iQPkeOkCLGEgTU5fxvarOmKS3prxL2F0DnY3It3XDB5DYHbJhZ7oZ7fcE m9R7JR15e0lMELnQ0x3HIzj5vv2pAEnD9ziZ3wE2/sN76/Z2NkdHuDgx3mQsB+JDHK9BnwDBhVPC s1Djnp6HWmpaf/1brUtqfL4ToW5GH5C7uoRtFmbA7EirOMpK3he1EzQhv0AVfQCL8C6Li3KZrG1E 0inCbeOE3iVpCrMAe1qO7hFm0gWQvMfb6F1Sxuhws5HckQsM/a3YGJElgiV9AxyVzcm7AYgQ+RwI Sz6XM27ARsIsIZDnC59ozkESE6orpsXGI4uq+zIqbmGxgIlz5NGtv6lylFUDeQJ0ZznvNkSqFZJK k488r+h+XqlDEMbDao0gsQ/zDVhXUZXMaQFebyoiHKGeR+jnjZBN0DNInjEbEblqsyop1BwwG6GM SmEUsegtrm/o2J8PHmgmI/T+O8SjUwfoZdzzyeGNuP08gt2ovh6AalrnVRuwWVh8eskVakYXwU/z W9gchyjdLhIQU8hqbTlDTsXTJJPyevh6OqOTX9h/XwylmJKG9igbo5HKLe6BgoFng+HFhcbAwKhH 7YHgon86vJiNz198D1guzgc/aDR0PjDGLX2QJvMPe+O6GD4PorqIb2qY7Kkcx2AazpkHPcW0ZFEL mg4uZnUEVDLP2DgYgPTiX5I3SOq+5TqeJ8ik3iDG8S1OWkFC52Etz8Brx/I7dY+6Nq9U2QmdZel3 HVDOSI4/tiPbwxN0ae6IPLf8yR3ZGuegS3M/nqd5VIW6EeIvWIzIXW/OL89gQz8bwnSM3mq2ksI0 yE+82W3QiwtIXsbZxrZowTzeTON73NvetSYYYNLX/syu4CeAXT3yDssrhAQFQmHxXZJVvFImJfSg 1+cz8CfHXYL09GxdzR7wy+HlKz3MqxxenwPSidxau9SEh4d/oRrhrzepFZAG5lncuJ3KEzhQckDo J7jGaOuLlKxfgl6FahHsqHNEF8vN1W0e7JecjoVhnzd6HeiCZzme6t1FWcU7tG6mJ05xw7hxbXks gRbJ25Cz1kgDEWXO+KSoML2/yQsXXUR9Ikywr+FklD3HWwB9IJw9Phht02HUk+O6p1nXgr0Aav0s UAsLV5t8SNbt4CS5v6wpM9JWNE3aAbrDeWps+ugTABwqqDKosj45Vk79yILHChYgYGLVhwBIHYa5 XYM2fcOqS/nnDap1oC+RYoB1XYlLBgy0hSvjOq9IFWSlJ0+tXdkdQpazxqhObcQTfVottU/Adc8d ADpCMxgXQNF6N7Dp3yZzZ/popbjBGTSJR77Jnd4qgUCNnFE4nGjzqU/rMtcnStgWiIJ5REfwJy0J IE7ze3hcVg9pfAJ4Rj/4ZnN625ss8zvQJaLUn358KYWW41+r28nrHJVlzW9XeZn4XjkscwrHcZk3 IF64GvzrvivIReYytVsDzP0HtBVyz8MJJCectAACHvR7Burdw7yquQH0xORkMndq+KgzDQtK9qH3 YKEbyAgGRqdqurAHeQZ6aYmn72sUosSjUqxx2Cstg/rgtnWGOkAymXYVJb+7on3ffehQTywge43X BHnjKve3kOewNyDg6cP5oq0nDP62HTwVb2gIS2fs8NOms8TpQDuLiOFPhL8hejRQZ5P6cM1m5Boa axdtwGPOtcx7mCM8nsft2Z9v40dGtu68d4ZguD0weRZS/xSSjeHeWY59bsuK8hi2pl7wZKp13DCD 2h3Tsys6HiFl3I0ocNI5O/b9T+xr3BJx6NgNjVwlCcRBXFyXLBf/KKXKZ4nvFXfCAAIyRtr3C3Sa v2sThnYC2t1RxxzAqblU/M+C+r2j/GE5wK7exYfanUDh3rG2tJNsnm4WseVDgud0umd8LwYXWbbl Bi1N5SKQpzdCboYUUyCRgnbFpugqevAx4Zm4jEWaU8jhDYXgUNAa6xc5xR4k6DBF5D+rSRapG6hR tUNHqd6BpV6x03xNMrprFvFpXoEJzurI1+J468EsztA7NTHvhRMH21TRbpsUyhzWBMyZ3i9CiCQr 2KsMCw7rQ/ygGQGr9eBBGSQCVZkoy7sN9aTnw69YByXEMvLUYmHUX9QxEKB7H9opybnZtr2H5M4t 7d3a0e7sJTjRhnfTCnzEwtp7sTb1O8wJUDQP7LMwFVDTqIP+Dx59ntXkWH0wQIw887z0rMWpvjT5 zPU5e2E7ZhBFze1aQ9Fqtc5kJeMd5sAW9AL3bIFEAXfSSUf6BAiKIoblX5IivsGwY22NoCfMNY7q PmCOYnIeSSdzBltFvOgBK6VWJCCWfIOhhHmpWiCVPZpX7Ppm57TWnJUj27iqe87QvUkJOn2/PhHH Nk13E7T/adRcxP8HqPnEoyYvV14mX0XFbenR8hzfA0FUHzZZCn/p0ccuTSdx3HAMsfMEojYGJXbC JwF1i8roOfUxucqOlOSkwnKtAmMcMfJ3xpu4RwQGkRatPGkB6UlQdbqbrcIVrvWgSrtF7KI6VrsA O7QwZ2v6L+dAjZ6yKayuIqD9WrDiVup5QTvaRYiKxnVUSmc5qS6ojdLxvanETvRDaZKU1gGZPuiC uVjLCGNHAZIXcGS07ypa10+ZDg8PORgHQWblMlrHSlrTKMCypWfhmVD+hXkO2lO5znldqG6gixVD NhgFcR/htDn1/EZSSwYYWuSzzhcx1DCfJ3QISDO/sCQAgC2h2R7i4pboyEAiJacvqXOLXFdtZnWn MwT7R/Meix4FGPXQ1gTjtEH7YTW8g5AWt9G/z+zxYqEK9S3J0z4wPEd4xa2BhXA1B+qogiPD3ZHn UnxXW7Wq+Gd5NB8gX0AyAi8CFe9ikqakQieVK0VdRDdJAVB4y5ImEYzNcE2uh+aZTyhVQD0xYTaN izkMm8V347D2qQquWuYb1HuIQg3EwUKOAKtHTNMAyVWhWOH+AuyIX6oYJnRaVFFRNQMpocvjbA5/ 8osn+AqMO/DOnvwS8DX5Rfo/kqzG2xwluAMcC8rHsQnAkvq3G5YIbWzppyreECXincPEQkPFGaEA hmWkwhGUiCKHMoY+k66BTk6UAugtyuTVI/IclRJmlS/sU8amIjlQ2h9evJlfJKm/5VWxg7Bq5RS+ v1wVuexlD7ateyx87Sj0pmlhyrmggFC+bNumPqGRvwXiJQgPNIpes2xogrnB9ZX6QYoaiy8+yYNv Nm/iLLrI3LYuNTtbNz3hyZa+5tK/w0pXB2hzx4iZ/cIz+FpjlVR4Nl9z31idaQrTsBBYJKFBr6Ms TtljfYV/SshQYAcPIHydlEYk1yKK8hk+sPQkv1ngXe19ZM8YPElBc8ENp163h5Eb8yK5jtv+3XB5 iDVP8zKe5RmoXSXdyi/4sHfhtyzfq9YJOT+q3XuVVa3GvUvmbss0UGh3lX/04sJ2+vL01RXgD9B0 k0rfR6X7bFmpeqCtn4BZACN5ZWp+LkI5OB81foXNZtAwJWxaudwT4Hf39lFltGV5809qpzfUnmsY mqPIZAUKLoYwc+IJNvhdPRljwqJsbkvk0ce4gFfUxgKm6SMeb6FwYGsUW4ddlYJzOG+DetukIEpH gzEJ7DHbVGmctS0mnmbbQhsSPk+YiDqfUExXIiIdxiYqoletH1DdqFOE9y7JFmhELWNr8bLpwLXn S3Q0NtKBGGmA6NrhYTu8tYUzAmN2ePYTBgzyqUrmmzSSFpgzcoPDIoFrashOb7ERdFUjL0MeOIs+ X35xfjajNA0gx359dHRMD4a/vxqNp/zkKT0ZjF6ejiiqgp/+yqo3GV7ww1/Tw4kG/cbWMfnd96M3 /O437ju1N/5uExcP9gap/9xjfwxtjMoRgpE5pFxFfNrPqEpttGK1+B4TeKhm+n5nkLDWr7slTp3B gCfVnElFG7x2I47VG4Vt3kdt3dIOFvVoS9PJPfZxIyQcHpnnq+t8Bop9uih5Vx/gk9P8Xh4j4h6P 27t1wjw4hdXRPxtdXrytoVvmyTyeAVYZ5jKgBz4ul1nrhdGUJ+9a32Lwy7cn+O8J/fsz+vc7/rf1 PjweFRXfNByH0wERIGs/PeoePz3qdJruVtrjY+baNsKApewXPchZu6UizSaKzVqdfVCoQhhu8Fr3 pyOAFYrsbCFwT8GuN1UFgvXPuFh45Kf0xCcsSZkuYqR11bLPgyUOiprYggJFC2HAs88WHmDbMkQh IyCFcUmmXTNGEEiMEStO5EptRC2xsqDYhpclI2EeUuXQcBnNRKnN2zCBjLWQ2ZNRR8t7ShNKeIpc fjGaDAkjbQatjjOlvEsUcVTFE1BsNuVpVARytFCwHEalYlxDG4Q65eIKoMKQ4hOyg7fMWObehuNI PC9OphkaWecsKWK1AE2moWYYkm54fB7Mp8PXsl9zVCa+34IJZD1fw3bz0rBtG4Ly4W2LyG4Hb55i vDju6RW6/k06CQ3MibJGYMMDBood3tJTtWfwf4P1tLNRXWMOV9MoS70FNlNJOzj2xMOOzBdWxLM/ +z4FcS9DCuJ/a28t6a9iHFsta+V4x9g0DU4iI//YN+PoDK44UNmFKG9QYGT2ZqrazzinQ0Ndp6uZ Sv+gKh7IG+4C9J80jspKoD+Y8P82OHLZtB1B3radGrWWd9S0d7v96uLOX68ZEiiw5ZGWYkmtes1X 64UWTip6yFSp8jXs7FIE5vconwqMV309HE/PB/0LFx++5bqIL5nbEPrJYzUVLLitWIJ6Lxho8/vR +PwPo8sp9VM9p172gPfbtWntimMS67BT9C/PfoS/+hhi/+st0GZOuuKIgHeCGOb45PaYX/Zo0VYp rOriR/7j/MXlDKT7dDieqRndgQlluddug4x0O25pEY8EF7Af4nbYqQ3XZ1NuDQFV1S2EtUHUimmY D299GS63+XsHrzmKyv4TpxWbPUBE+zeKUMeq7o96NDsaIlXHauRHzR90TaSZdja5NWfZTXryhhY+ yi+8q3MRPeSbKnh1RtdjCnOT9T48Tzzx5r2XCL5PsqpskoP0ZBKeVkvQ1asb7pHizGYf19lNtXaP Wo/XNBJuWY07/LY26oYdAuo9z+cbL22gLTScGwqnr6bT0aW+o0DWR6cGhyJiGxiaHHsaHFvRwPt9 jIttONgIqA9BL7vdwBOH6+zVtA2WbAV/8mlKbKAfhm9nZ6M3BuyH+OEsv8sQ0MAeHh7+v+X4b2E5 wkxa82r+OrBWrDlM8FP0UiVfnevswOJGPTai8HuF/rWa5kiCxlLvrbAiT+mHgWpxZ+CBEr9IOJC0 DX+UkhNgP4NfMreGbWuo8gthtnDf0G1w0Tj5eupBkA0aZqCVAWb17HQ6zt0iXfefP75Scenjh2RX M7BN+R1qQ6VcqpjArnwG4+uKM52rTT0D0E+nAxuM2r6U1Nh3jH934qn91HFAWBEhMnh4mavkJLUD SIM8GG6rrjY71dk9RBEN8qdXoYhvirhckl9bTkgglsh0MVR//2VeersAMgnd56jJ+gAcbkR0ABd6 abGAlUlPeo86/o2givL5aIdYyCXiQngAmg/cWujrkEEzEiAQx+BFxVgd3ys0xgBNGuJh7Nq7l+mW 2einqT8Rfy/KqXfs6gvdGdhJVwuFCvuvU/CTGYkRI22bYJ5j9tUxLw8f878GY3hTSQDyshP9bZy2 XUMo7fm1FxG9rTuK8NXe8qohdsuRhqprDVdg6dRxvsxzebi/yGXOTzrdZeetDO4+5IEeYrV1XMCE rNyz4QOCw7PKDY1LoiAJZ2q57Xv3VxePv79ax6uEZ9BJ/7/rMitudooeNGqeERdBRq5gLR/q/mG3 +jyYvB6L52iWeEOXivgirNWc9jIH635aCnsbiZpT+zhBnic0CTLn5AGXSr0ezzwJhgktVISQy0V2 OzAgnDCaa+aa8XBy/ofh7HQ0PhuO67UP+IAE03KTFiGDYTZZlaT2IqO75LAM7RAKVT5SCK/iIrXu zTq3RFBX2DKIL17aax7XMihO9JEQCl0xXMVRHSwR6DqvShRAF1B5l6v5PPyjLStRsK7jHGWZHwFM /p6ytygMqm5UvTnKu1nJkmmLmb9J//HWZXN13uXM++AHV+xe7A5Yb9hUOcNxYJdpgt62vR6A4kK3 QzGOd44ks5OOPcFoIACL8U6FB2htzNRUSJ/x6OWD6IaIEHX2/wdv64/bdcPhtoEP6oQuGJglrLkf W68Hvu5gIHtZYlEXF9zVF9z9ZPWGlaBKfUW8e9YQj53Fd/Zxs8kRHK6u2vYEyY48zapwY2CDYS4j lb+gXn1LtP6B7m8j++4Yp8vD2yrTIJvw/R0IESouigbCfDaG2Eb46JPIHu1HdE1KJ0qiXs+SRYi5 oa+f47snHr6G/mDBPulVq6WkWcdb2AAQa9ONs+hqMP+edgik8SpJjZxanQPw0NKuAzDvq/fNPPd4 /q+3pZdBHUAv2yZuoPweemuysDa0LleepAdCv0OZR6mlnhy/9xOZiF2ry1pS4kRi32vRqiWBgA2Q 5tcjti1RK7buqU9QmszMVqs1iPAiMB+lYOYC0j5xh/VjhPl2fD+tCGGHA19V6gRoZ4CZBWkbA9Zu 6y+4+QoGUcIPLtGncttrYhJTqFizGQJEb85gQEdBTQTZc0e3W5IpaazeciTMC5U1ucFc8upawlV8 K479S5pY8FafD4lZczj/XpsSrzWm9FERrFhrL5ZVAJZYlZZkIMNbsvBs3Andb2Bab5EMDt76hCNd aHAWdZrCYRjaChoKATfA8veq3HeMSs+sE7nkx5eJgJIHJGkSBPvbShKX6ktYRTR5JSc7Nt0dVhcW ym9k2guxErbnxgYHm9M2QVzJq+hxzSkpq+7VMyzMZzdJWnES6d4yKmeUNwXebB/J0+BI+l6Q8k8a CW1R9HGe8ORLdO+SRUNqGr2MZM6YcDY9VUpHzwLAZFFP81U272aWftXcX1qhP8HCw2IAJ9rKU3gb r7kaoFDCmtB079x5iUJBXbhUCkXIc64rPNJ77sJtM/Gx/CvNRggsjOwghK1oRPQp0wyNUEYVymBi ua/JLrFdIVvbMu18Zs+B8IoBoSabA04pjU/O4RVSH8FsMRMpYMy9JaqsHOHPkzR2nKEmRIOmX0xz vKnR6rXoGkp41mQB0LPT5+I5ZaBuf4XpqDs/0n9+bHXE17tgB5PXBnZefkRY+M9esH2YSw37FUJ+ 1doR6AqDn/RfDzFUb/R6OH4zPp8OZ1fj0curqTVzIPI8lz4Kfw5BGf3gTSjm3pYR2QgE2/pVVNVW J32O8UR9Q7t3HZUE1FbQnV65TpOqfdg77LwD5Ys/H2lj8M4RakLanvfAypcesdoVBwXC5yd1ODYz 9zCvVQNbTWw335greVDkqO8noeTZQ4I0yGvTZ/4ecY1WOBu9DX6kmacWWdjPu4iF+ia/Ey6Py/FJ V096V7UV0hv8Vg6B2Q+3tQKM/8hWgsMPH3ip8y68Cb1ek92L07eKqmfiF2VL/IL6u/fnQ2SGHxkm RgFaox9wXZ0PRpezN/3xJRj0AX7aelamKuyX/DW4IthAcyRiOE5Ei003470NP4kbM9S5KGonNjJc sdFERNqpu+T1mjYmR1/ESuFb5BFllIQdLAIbXGaoUWCc6M9eBnSJ3NRfyu8Rgx0Y38f0QWHUHXuO +f6InHzyDGx3jsuwEOIrfvV0U3wr17sYu8fV3NQknvIu6CrQvt8KZVeq3cH9J966TTntFA3C5gCv i/vfuZUorRVGM+Jc0fLesYa2LQ4SGU1zq49apsjYFY7J4DLplo9jZZzDEh1q0IFaVjMv+1ezi/7b 4Xji5XyAajNWAGv5LrBQdtVKff4zSos4WjxQ7gA1/2s8M0PyWholEsnGEc3n5C++9T6qELYHpc1m atrrJeQFc7VmShqXeJ8++Ufk7jjg7wMd0mdSVfpZG4pcgrrHh6X39SDGcR3z51Dw6yioqANtgN7y cwYyn32V56JdJvjdGPkVGkqu5gSqyAQIJouc9eUbjPebL5N0IXMd8Nd4MBWajUCiBo4gHyUd8ate 0fEp4ZHDo2gRZyDOB196QpxXmCaXRsCfjLmO8as5qhHNXG1syOkHhhVwMn48rb97enR0xDwh83p0 KJEDNINUwO8KgOxPKgeH+i49cTJ/dQY/TJuJuCjy2qd05LJycrB80jp1UDxuDSpUvnD7PHlXdP4T is6QCVAMrxdqQzVbAmqmO5KfuJWd1h+zm+/bt+bN3uoZ7/rbei136CSwNStpLdFOTA5E3iNgl+ZI 3ZVJ3xYtZBZA89Epe/AOx0gSpXY6RQxoSW6TzCOKFuU6l6PHkUqYWKM1f53fqDRmsFdXESwcEd9H 8wrEAl5clTnuFl3ZPZYSKvOdQaNku/2ZK1jADAPrr4nSlnPDHb8z8k6o5/92GSXNT7RXaarx4yAt svywC74NluyRehLLnuknLXuT/g15c03FnbkosViikP2nPJ8NFZt9RyGnPZb98l1iMQ3sdoFjSfZN fonlsyXAZGT7JsHEYifCbKrzU1JhYtkdD6GK6o1Fuh0Aj8qjqYrype720e5KtKmKQTPZ33/ul+TG 9Gy/ZIyqKLop8GaoPTJvqkUnQ0WIqI3xSi7QFvd8rbJF9H1d9WEcu9z2drE8aibASnJaKFTXL6F5 LvaYYhvuEZkrXdA9U1japf6mOcElFktA75bOWHYI3qYAwe0+d8fQlaoMPmtO8acqc7C5EqG0ubH3 5YEMEVbMnMubD6xcyvmUilhnaxI6e0PC9rzXobGpCkoU1vbdkPXpKIk1FZFJopQ64Wz0ntbuGwGS pKGEgON4HoNabFLjATTYk3ULQ2mFtt4x0Mn+VFi2PRHs32FlSH5WZZnfyU+sAR0sKunk4Wh0rUDd 2JIZz6InElNp2Ggj0czWP+xB751Mgk7+ViuY/e6+x38pFC38ZAMNDfP+yQ+XxvQ5cuYK+0O0/PEB TOvjfg4OxaQ0q2VWSmxWN2BmrsHdZO4gcHo4hde0oPvd/FFe9YFBGvIz0RJfCzD+2pLnpBpH2WC7 lJwBWmv/6puj7jffHNkRa0RL+4q4vERMzxuulW//+q8ZnfzLvE9Brph4xJb46ivxCliKhiBG9CWn r77yv5OIty2AKSQyR91z2cJg18coQBCAe3f0Hr9r0xJtpBI+OH6PvztmnWFpyMMRzEyT4jU3YWWm 0feVa3ODnomJEm/PMeqmXXbse3EmdQZhNbkvVDKV8VBnDvnG6cV1KJNOPW+IASiiRZLz/XGU8TQL zjcrw5+rpHktoJGR/NoWXvwgVDL7jhq0scdo/FQdE/UdPz3qUh4RZGxOz4r97fodUgkvxv3Z5Go4 OH/+djYevZkEieV2yqQoCVJNgRtE3uiuq4x7TzMk/Iv2coBgB7R4OZ1gEpnjbzqdXahQYfg+TtfE IK1XJF9BXnIzyN9IqZa/xDwc27JWmGoy2LIJVT+t5ySQ4/ruu+8eMS5A5I5Kzrs6cV6UewwMkewc Vt/5+nAd1Zl0MWydtG/3GpqDyh3emHZdZ97QX9s0PhfTljE6Ffca55Yp/Pbbx42zNolylBFNIuUW bR7lHoPiqTNwy7z4ixJTW4VWnQrQ62bIQD6dIKSVOcpZWyYJ0jedfQFhbI8Dc2b600BrbXoykR3B VlLYHUTauYPx5sUYa9uV1dreO5ewisdPaVmN1vQZL7OJvzt+5m9BUO1VGfz0Iryx5lRSAHcUd4fi 5XH8m6Puf+JupO+sXpzOXr66mJ5fXYDqo5K82j3zF4DXXlAcqlWk8nKHFpKPx15YF+eT6eno97Mz 9zPoVv1dsxJqYs9JCi9ck6HLamrH1htalzWcFveHOtiEh7oCLPE5+V7icpX/+uw5LT96DTQKe2bx z8jFrRDPmY47jCubnShtdRfrGjR78G3TbhegZA3/Z2JaC98OlvW6RyhsnK4aXmWl2Zwm1YJtN96j mReD3AvGL9S/SqOK0gmgr382e/P7l5M3s5nv64c2GP0gz/B2AE6apQR0arV1v2UteLRVxZBCq65d 3MnAPmnUtLZphi47neXN3GNAtukSdLO7GRRak9aETeDA4F04f/IGeFQcUqx46IP+5QAzdamsWgFY d9zsRlHXypNqmW/AKIo+qENovuIQRvSIFG/hSWY8oWrjOEqTv1hfX8Bi2FvVq681K5mnXCS1ZI7+ GvSmTGchLOXicZsP5B4ksFIKomMhsx00vP+Vee+zuAzvsFME1FOB4JldpD7pjeFeFICgsFOgRQLa CYcJoQcel+4he8Loyv9hAArvi6uPRcNmcjnKrO7LF37gKMcuLOJ74+A+6tal7Qv8kPUmq+rJj0u6 jiPUvVIPSF5johY8iUGi/oHPYdot0U7z7LaDHgHRXuQbPKjnH9xApxVytqMzj1734myB379cthFl k1/e9JX+ePeMfPmM/wn+TcAN5xaKgJarB+HCla+LOPoA0xxn9AFn+mIou1LpkJsdHgZUfVOcaKg9 DI33c+m0dsFJuf1TQpB/ymcS/NJ57TDHAgh90py6FPzOOOxpCrZRy5BZccw23LQiNBMbRrKgSocU 9YAsc4U0DoRb1zmzbwU9h1qSXItXShuMiEc062A/gx9VzKhtwWUTqt/8IWa7WbVaGwnWtGJ/Ejk8 zvCr01l3OzA0Rxl7BBe44uSnsoDTV2/YQcHljfmTuK0+56qECPSps7+XsP5MZKjXdebdH9rW2OvS EjD1rxd49azw8v8BUEsDBBQAAAAIAM5GODXEFvBzbhIAANpFAAAHAAAAdmlldy5wec08/W/buJK/ F+j/wIsL1F64urS4vXcXvCwucdyNsflC7Dbd9wGBtmhbr7LoJ8lxvHh//M0MSYmkJMdpdw8nLBpZ Gg6HM8P54Iy2w842xVJm+cnrVx12LrJ0ybOIXYrsN7lgf54u/ydOC/HIi1imQSR+QqiPGU+/sl+k zFY8Tdmf5/i7Doegk2Wcs3UmFxlfMbidZ0KwXM6LLc8E26SRyFixFOznuyvW/en08UMPR90LHtHj eZwINri9+3V08zObyVWcLtg2LpaAdzPlKZvLjEWi4HGSB69fvX51dHT0+tUg4XkucvUyztcJ3zE5 Z5yt+JrxNGJIacZnSKrCFhd66OtX80yuWBjON8UmE2HI4tVaZgVbiBSGFMAnBArDR5HlMBwATtnR m3vxGOPPE/bhT8fH7M0RLuLNWG6ymXhD96PohD3GYhusdwrmw/Hxf747/u937/+Lvf+Pkw9/Ojn+ 8BcWrZE09gbn0BPLPFjzYln+LuKVqH7AKsSUz75aA7ZP+KPDhk/0MxMJL0TE8mIznwPQHACCO3gG 3Fmx01P2NgwfvlyPH8LwLagAg4tYsH0yS78G/n4EOVwMSv5o7muA0HseXMtIJMFK5DlfgBwMnrO7 8Ors1+H9OBxcnt38PLzoM/pd/fybIkA//jwaj85HV6PJrwainCgTqDmgOxr3eAZ6ld7rp329+Or3 XUYyNw8sdiV8KpIo5olclNhRUPRSw3yG33dwA3h4OpEy6TO5KdabIgQBpDlyEsfOUO/YgKePPNeA Xf23d4IAuDRQswkotoJCfAzfa+VDgEjM2bXc5OJaPopuLpJ5n4lHkRY9LR68QIz4JogyvljAprBe 4aVnDZrxuLD5U5/lO1BjQpgXPCtcAHhfvp5tMmC9B7CNo2LZZ0sRL5aFgSRl/1kU4/g3MdmsE9Ht mRWaaxoXsCOjGQwBnbwWK5ntLgbdXjNUMBaJmBW303/Av91qjrtM4N9zAuv2arMQ/gocORZGMx8m OE/ionvcZ/Cfs55+SQCw6Ym9Y4pd79iuV8n8mq9Jw0Aruri99L0jdXWzfTIvmRqKRmqNj9C06X0F 0+XWuEovwjBO4yIMtThnpER9hO/DlliABerjUoFBIgrB7KHql7/zJV+L3NYii9TAQW2JQIldaeup ntF7i2b1FInwniuK4JW68d66dCoZWQ/aoNUqbHD1xGYTqN0dWJ5ROpdqOdaaMwGGPWXd932m/+vZ Qy9x6y7MflnDbbpZNYzXb9CAvrfH36bE0f04YPfa473Nazb2NgT/Es2UqsOScGs4tHowfVBjR7pN 21KzBnflXfwkktzebvmMJwJs23yei4LUqhShb++6ll4Eapy7ikMvG4+e+PsRuXbnexA28MtiWCbQ esK/O5u/dyPtbmzeKspCYlVpTS32VZBob/vN0vM3UukGT30P1yV7pXdn35PsQfwoRd8t9eCvx3+3 tOKv7//+Us52aVX/bvOi98M3aU9XMaYJ1YHyBqnJZFMYC5XvDhsWiRxMNYW5Ycmikie9umwCJRJw Ed0Gu9dvNG8OGrI3k2wjcO9bHkeFEOhvHuI0ktt+Gac4fucMVWkhIFhc8sLEw7kVDYNSQDALQflK 2JHxftez5hgHoJqmceT5FEVOsHdENcAQXfNAngcYi+IcIt1FJiFrGMgEgmtcu7778OOPfWb+cYOA DmUSyosDquwRPS14M4yb8TaHqF54k2noU3YjU+GjWslUzpYZ8kvDURKBr5QcUSnAxvN056EtX4fe BP70zkIzFSA9XI4mw/D8/tP40l0expNK23A5caESFSYpUgrYpxzC/+1SpBWQPTpOIXZegWh4kvj0 qgEhomwgtcPyzTSfZfFU0OIfvqgAM2db8TbTygTbRWDG5WE+Bx1B8Q0/T8K7s9HNRG8E8J88dmLU GvjV8OMkvLh9uCmHXIl5cSG36bOjPt05Yz6t9424Hl1cXA3dma7jKIJM6Jm59EhrNjXumfluJ6Nb aypZuAalYUlnn4fhw+gGSLTWxR+F2oH7xo5HfxmWY9C77QMewWpK4BEs5HnxDK5Gg1/KMRdyM03E IIlnX3ugNucP7CyKROTaF8gZzeZvsScWRKP9cN5XqN0MwZ9AG1hr2ztjdR7njwLrOMZUiRRfh8dr CN0Lk8wZwFzZLtz3hMhNDwmtQyyYOeMqyNe6pFLIN1vyNIVQBH3z80l1Nbzhaku0Lf6aVBOp6uER TioLMgVe2IqJjKYMtrtP60mdjApr8CktLUlXj9C6M98kSahwOUa9lHqNXzbU/wXt4xdS3sHZZgIc sHoZsNGcfLEmT6zWBcR/cfEWnHSSCR7t2FSA9YbYJsE9UyGa7tjHGJc/kWqPsCnklXGJjlABJrbk efq2aEOzg+Agl2C0Ae4RTLlk4mkNezUukh2BA4rA02hrdV1Hf7UBbzu4MNk+AUFG423mVoFRpGJx HfK0K4yfIB73xGNQaA/bLnRFTnAOgVt6AesAv+ifPWgQfGtZD42azgqOG0YYCnLf2++npWUyH4ua tk8RYTO5wzRqWA8osj9rB1UPfDUIfQF0pZIUB/YCrIACHUuNQKvj1RoVIhE88/FQ7ENncIF//tJh X758Ueq8zuSUTwHHWuZ5DB4BdQ1D0yzGMBSwxHmA4YyPoYqH2IwCIqkI3Cqtj6udsl1CsELKUtTR yBTmhknwEBlXtysVPpKIBG5I3Ynv92IOwcvSV4mOCvY4K4D/jGeLDcZOaDWQoIyyNYiwZyIP3IHP qBodcFkRrtY0NxCsjxmgNBpwuTpgb0/03227EzwXvga2pPAnC9g97XA7gAbVSMUMj3aznePoKrfO 3jHvGBHsz7iMjE/ZRw66WL1F66sOgeLU3uPtGzwRaZdGUKZvMENqzn5ixw1by5tfJVM+0BQ06GvL eiAOZo6V6jabKRcrqqFtMRCyDkUXsIAA7Yi7Fa8Z0bXX1WxQKrvZZI0Qda/nM5jUAvT/nxsI3q8h OVJrCCNZWnxHp6wXeT1M0irEUYGIGh1wQUYCapXRpmcruJcRygk34VRoL8X4AvyEY1IG6gW4PqXK CK/UlbQUctcNT0rXqiePrSNLK98hzZtKnbv5uVyK5a1EaWZeNymtqV/gLN9Sc0hv8yXQXtsAxmG0 CN8TT5HtGlS8AUeQiqeitn3M1SmZo2xpwnOwXCpU1vxjW67PBVTVqRkNX0jDHbbJK9J1rQBMrqlS 1G1yhWWFpQqQ/IzjXzU/GWq5SXTFbg7ZpOL3dsmLNkQUkKupKRpHcgwymVpuI2jGgAYOqCdmloT/ rRlWX7R64FCA/4BBeOeIAhkbGsaCfQp+bJEIXrMkBsJDEyYN6Gc9Tmod9mw4Ux/xwuimjqA53vCv Vpac2ryrj2+IW5pQOmcUTcC2vqOAS9m26FwblgZVfEbn9mnqi1Vxj+5odpiYvAnEskF1JyieZmJd sHEh1yM6RMKKdh3PXhx4HSQWNdkfhh6vsjoeUIEthCmfCYgbUCvXZz3DszWfvS/Vbe0CUbhmuY5D 9afz3WpbaccpthrgpgKrTQpNRQGbT24FVU+qGhyTDUEzDjFx0KbFIbkp9vWLuwpRHdI3cA2oviOM dt90WBn+0rJTCDaqUMGFtWoxbjdCVYqhcNGc+KuKDN2/sO7VVKbueWuiEw2pEpN6JWJkn/k2Rgi7 WIDbNVUH+81eg+9LEpTgZpMk50aWdY26NCGsiMZU+wD/+WzM6hG8xoqIc65o3tAeb36F1++hrIfq aQ2HraXu8f7B+vn/S+esQr458hQRJXEgUyWDmVxRuiw3Xvz2whwQr47dCmDpSjm10aemoQ3NB00o NPUNGMilsCM1/v1Rn3ldC+bCbJVg/u1038GPi+9DOz68yoU35cAt+PeOQYjmcY12BI1iWO1Np4LU NWXNWreJf/3hJgYvtTvVKXH+FYHpr4lxzb7zVbnZ+pzWDL9ag07n1GN04Kr9rHTbjtWDHJcXRaaP YI4EgYbY43dUS8Srd0ZFrUeelWsdenoUWFlolCyUvaOWPup706SE3SPdMwhb7whshoUDCD3abyuO himk4TOI27BfkPo2uz8E29W89y/688xwIGh89nn4L/h7+3l4/3CPxvDu/vb6btJz2Af0B+Ol3F7L iCeguae0mNFFePtLUzjislA3UwZRnKUcYhxERh0exbLrq0AVNpn2xxq4N99Lu2e+p20Gr2+x4/Ur r8eO34ENdqeLq86m7zG95eDDbb+L4EWRM16Wi3WbSusu9uU9NsxusyEP+3LO656aSqO+saOGVU01 NVyHa8TB7TF4NbfIWNpR7158qasYJDJ3syHYwxdAZCZ37sk4NVDVMq21aqtSpqChretF+vTNqv9d ar82DaenTp+qMvq2AjfGeM9L/nmRGUjNzKBidb+krlbQMi+apWWdN/fZDzxbOKEGrcoUcMg7O4Pt 4uU+DF6TjvOu5L3fyuNA7Tum0ADmuMZfWxVg7aXxD6QDsIXrTP5D48fy9kJEVakdbF0SEYRNVVmZ f8Fwj5jW4jJpWDvSGodKWp4ZSOMOJQKse4iHO5479xxAIxkHDj2UEoxFAG1la3LPetm9Lc29+Kom WLU1tVUGtZKsxGoqMjri1DYI7yuw36F+T0CmP6YpLK/6vbrme4b6Wj6t967E9H91/S8iqjJKtdQm Ase07coeHgfeI5q+qzKlxB8OvVwM+K9antVK1bZC6+MQ9IonrIH+8vSb+tebXm/VW69UVULQpyVK EBVBTd+XdMr5VFVDGR9iyfDm4qVscWVdKsI+WVuUWipjQAyzzLF9S9HNW8QzpRkbGnPPK7mIYYd/ 3KTKoGPGcgNpzuSZcefZBhwYQE/uz27Gd2f3w5tJ4xFRuQTKjbo2Hg8Sa9dlUQF24YCv8Us3CNRP WMeo6QkbZIIXQrVsJGKVq2JHBlrPc+oyzdlMjWQrmWHtladMQv6H8WixxHCDa/CmLhWaXU9N8unq vsAR+KkUO0bRZiQgrKSFQ3Xl9RWj3QQcHR1dqpKx1Rlqh0z3inDd7YvFIWBbXFA9VC876lOLb1nu wabpR1W3tpSryNllHAlT30YjWHWYlIr5ad1WM+6wETbOqO/QeKqbuDV514qy3BTLp2KOomhG27Gf U+/LWq7ZBm4xkWbqC7gc+2dmS2A8j6gSz1Mbg5jPBS0z2eFHgr+JlH2BpeT46WNZRivLwDPSCLun uFP2l1dlczUxNa5Z3M4ZpBHAp0XGp1NV7ndqxx3dc+m0BpRtGdp6oUa3HPzSiXHzgbFlPVXBTcFd yyiexz4e6xS73EgNR14EY0vNd2zNNf1qV6MS7dvVc8i5kqQVh299W4H0rjpuAXEiEbdDhuqgpAG5 6R6IVUeXsaqQA+a1bwfx6lS1WJE+xplM6Yw4kkINTIWIFKZ3qoULtE3OOKldDmA4ECdss/uWm7dt hGqwPsCJKtJMh07pVWn5q0a12C+4JjrpI02Xyt+Riian4JrLsml8ryvF+FXXucO1zGNiIDURufgw 0GxDZNe9wbTlAEp9PzoiD9hD1YeKvYEc5L8157hsNLcxbQERWUXVM4T+IsOHM2oagU1lkID9MG6p WGYSWecYNhi3U42BfMt3ARsGi0B9M2G1GQIioHeFxhbSXDONgyemlqavQqztliI8Qyd/qvqKYDno 3ehTY3wAaRA+cIz1ENhWIwBMrFzBpkggX4FpqDNnzTOgSvdD+sfTHc2JKXY3gJZFB7fxUu6uU9Ay TbKP9iFZyWJQyVq310zEKAUsHCBJ48uzu+E4HA+vhoPJ8IKZr8Kd3kIUref3JnZLlf6WhRX8q0B3 pwKOAl0yGYQ4zzcit4e3TVvxFHQZ2WaWaIoqS+7gUf1k2Paq1LOvO6XRuUXgH+kswRg8JQV7eLkC k51DBCjTiDYOorXkUSWJB7PeE2bt3MBPFifiqRg+FaI8fCngQVN3dltsO8dKkKoewF33/TFVUMYP o/GY7m5u76/Prqzbno0bI1oah2isNzpLVUfHFo1Enb2EK/xWn464zswK1MeSCHlKdsjVRnBOuPkg OQPzCsKij/0ZL8yGMjaM0DixxIhEmQlswq+God4sYtyaZmTfII+LgN3ikG1s50uRgIBnFadq65P4 DCILxUappJpHR0QQK1ZoNmkCCuzEVjP8AqSKoPqMw2I1rW3hJL10Tx9x6xFfa4eOtsqFwC/xZMZA tKFP90JedJUIlNaFNAMeUL53cyxd282twwALb3veVe6KFtlbs1DoVs7T1jwJmsJO7f/rQwDcV2SH kVUOc4cdcqnCKpE4xk8Ku71gwqffWE+xuNN7GUf0rn796n8BUEsDBBQAAAAIAHSzNzXUcJlclyMA AD6TAAALAAAAdmlld3BvcnQucHntPf1vG8eVvxvw/zCQUoS0KVp2m6Y1otwpkmyrkC1BUpJrfQax 5A7FjZe7xO5SInPo/37vY753lpRsp2h7RwSxuDvz5s28j3lfM9wVR+ViXWU3s0b0Jn3xYn//93vw v2/EeC1Oi0beJk1WFuL1fPzm8aNdcbhsZmVVv8S/f5BVMUuqVLyR1a/ljfhuPPvPzHQZpvJ70UN4 A4T6hz52+UtZJM0sKWDUXNbiu1/U92g/7pEUe+d5disr8XNyU8A/3/0Sb08jYJfrWVaLRVXeVMlc wJ/TSkpRl9PmLqmkWBYpAGlmUry+OBO97w9uX9BAlzJJ6fE0y6U4Or/46+m712JSzrPiRtxlzQzg LseA+rSsRCqbJMvr4eNHjx/t7Ow8fnSUJ3UNM6KXWb3Ik7UopyIR82QhkiIViHCVTGgxCVrWqK6P H41GML0a3oxG4kDsfHUpbzP8+lK8+HZ/X3y1g/h9dVUuq4n8iv4+TV+K20zeLcqqGS7W3A7W4I97 +3/ee/4n8fwPL198+3L/xd9EusCRxVc4TjbH9qJe148fTatyDsghIvx0tl6UDbaiN3crWMBf9LtF CUBGWTFalPn6BvCsZ8lCDgT9M5rIoqnKLDWdeaGGb8tU5sO5rOvkBpZGwXp7eDG6uDz/y8nR9en5 u9HRm8N3r0+OB+K/Hz8S+Dk7/OvJZbTF9en12Um7AwKkTlejw+NjfOM8uTx5e/7TyXEMsTRpEo3U 1ZvDi5Prv16cjC7Oz/76+vzdwHl0eHlkR3Nbnr67HojLw59H9PDV6dlJbJw8GctcD3R4dvoapnTy 7vrkcqC+XZ9f6D9/OL++Pn9rR+OnZyevrnWLy9PXb679Yc6y8XBSFoWcNMB9aqCL5TjP6pmsBiBr RbpEdmvjNilz2+W6Sop6ATJSWD6oZS6ZafVK6QemSUhgJuDVyRnQD6lBi3PlPPjp9ORnWL2rUySv s7JHhy55kYiXJxdnh0dIPsO8s6xpZE0IkrALmJAUTVnmNT15/GiCoiiu4clL/IqgSc7wjx+SWgpu gJKK4m4E89aAMV34z1ROxQi4P2tGox4syHRAstd/qRDn1qAssyZL8uxXSXAR1pCQw8aoh/DpJClu k1qrCFQt+BSUhEERPzjIkLodUO/gTd0ksBIH/GWyrJBi8PVdWcigZVolNzc4yoHYb7+6U28E6PKf xWGayjTSqODO7loA66ilcBcBnlrM3Q7vkrlstYYJX8pmWRVmtb6uRQEtvZWouMnXX7vwcFYjWgRF jtVArF3Ym1YJ23av0vPWOPPyVm4aJoTcQrNcPKR7F2IeBa5m5Z0Cmk5ckNlUFGXj0M5550K960G/ Dlp7S/AmS2XXSJ81yn6wUvH5LEBS3YZvy2Utj8u7QrWWt7B2rTV1+IMaDOejlWoLf677LYhvLY1b EJ2JEi065qoY5X7j/bj47NGIr+432nEJe4E8yrPJR3/YqNzjkovuj9vFjnOUFBOZt2Q8ysRaQ1/C PoJauof/67u6OtTSqJVBSyQNMQrohEmTFDdoQN7N0FjTIwQ6u5Oraliveq1VAzGKfTmBlxPzUomn fZ1OhscA91Lj0GNg0Gcl9ggydIY/mA48ib+V5fy0oLnqSXvzxU0C2+ydFrRvBfOIqk+lGHcsbK8P Wm8jXKiY3q2s3jVrKW5gAyzQ6me9iTar1k1ZQfCgqcsok7Ks0gzsd1n7m9dnrG4up80ACL7QLXAr GcI+NWrKEeKgltvRKuS7DMS4bBowRrq68bj91vr1wLzv8agEqD8Q+AQw0CD7A18E8TNPVmEneOJ2 +oIyj7QdxkAEqmHTsuNny9LjBzFZiYMDZGYQPAQHf69ftlcAHLNl3aB/g4iBsIJywS4JTPhGgpsG bGGZayiuwHzL1zE4vwIDI4cB5yVimpANC55Tc1fGWr86/a+3Jy/FKxqKR23Q3VPmVSrrrJKpGMtZ cptBo/ESdsNZucxTcSdjACuZ5PlapCXDYecOZmAnQIoGbLY7mecwxRgQM4LIboqyIgNw/h/tlpY3 UWxf0WR7L4AsEo1QII3m04C2Mq9llAiHpPuGpD1wEZvSl+pNKLzKGtZGP2dFquyJodUbzMKuCjtf NvfQYdDqk5SYgr7z/4LzEMEpYbXbkjP8PyI6+8NvvpTw4EI+RHoMy6I09Ggboc1/pXYQMgnWsc2j 84N7iIWBXxhG3zElLpIibjOh/MHLB4ueAtgWu8+wia3gtYD8S0q3pTqFSHLg794Gc+80BQjZdN1N qB3dZOfB9HKBP0RX2jlcUQTnCkN3hxscJD2bMwxfbZgKvX/4PAzYT5sEdb/3HH6CLhcluIMqFObN 4rAQybhuMAbEoRrUoRSUyTBUi3ujM7FdcVXOpQ16kVsyAcEbS1Evx/WkysYyfbYs7BeRZqhSQFU2 s6pc3sw0JBzlbbI44pjQBOHCkKjJBUXWSmgAKn2Mlnc95Lg2/AdbRTZpNJB5slhwHKmsXbxYl2FA pdYzygrgf3DUxG1SZck4J/TlWkOCcZek0QkTxIDjVykwzA2nATKK8uVyjjo3JYsDGlzpqRpI4Dz8 aFcAsALs0lrTmcDJdGSQPRD/40cNX4qdWgcadzbq0CC66HX8uyXaW8bADo4LVPOKh4sSmbUGE5n8 aHQjm6RpqtFIzXPYnicPDtPcYek7S9ay2rn3LHccma0f3E2mDx3uTVJ/ga6fjG6s49+7BBBzOmB6 3CVVCkQhuaFAKyty4GawMO4KFJOh0CKkIdVkXIFA5RnYZEpKJrOkKGROIqQADznKPDIcPVJpHQ1o 5Mg7vdMkRxuPrCMABnDTnIPDCi7IrWIWMwPs7QpG7775kE1Cgp+OvMt9um3Lrni7ehAprzEeDtP4 w/7+QPx+f79vdS9+eFfmNviP+25Xx8Z1uFwLHSwnx9HBPJYNp9PgD1ClvTDciL11ZNyFXE8SIAXq qXI6rQEImL+sqygajds8kGTO8k9MFYmA7LoxEKQw7xbu02E4VRr3QDwfhvF4hQcsFSzUft9H924m aS9A5IClKlTElsNNhI3WC7fQgciG4DzMy1t43FpR8jw4dLaogNWwq3ZIwOpvMLnj4XavNMKrBAxt jg8mbnzQDmwxdvItATx8FKXYtQWgUF2UdUb0UYILW30jzou3JT0kSwA9Kz8tsot2pV0FWEew/Oss ZcIzAUOiqWFHZsAYftjdqKuQ6iaLdmATaL2+iqYelfM54bpsuvoNzRbba6XTuCVlYmulQKOQXWQ/ SrlALkffc4qsMJkJFLCqfkaQWK1qcMja8+QjGjjw9M5bzbIAcoLfiIFZ4NJCFHKC2qsKcxlIHYPg iAYT0ZyV35DQiSw4NZWrBqaHavL9B4/zIq1Oi1SuxMZsFwjD7Tto7TNzK9h9LMFaLNfxaHe4E/S0 GtqkmbwXluh6oLBrREYoK2R4hFWv2sgG4klS3dRBDPgEFyVVZiGolgzpzLuWs1dZc0lvSUOXCKdT PQgJUiG1KLb7gcbOc3oH9mpVLsDWapyZs5H7dW0noY0pcY6a7y4DcvyCkRMDx6BtoXj2l5qo/ZI5 2BZKe7Vs0cDLZLxgsZWRp3e1eOf3Cv6HfgyKI8QBaWzrSLBC+SzDLeR1OcGxvf+VeaHtQvw7cYNL pE/hh61E9q0y46WoxvglCLfgo+hikC0boKEceb0SW1aEILzHFh/6amwLrkqQnofwMAPzQ55UVVn1 VBtHvbGFxwOgQv0U1YtLdAOseGCVMHAr5szhz6iG9p7vBhr6KJdJdeXs6LRjTDo39NFWBOsvsa/p ZkGHVxmuoAn4h6Nmdb2UPbfuxmehNu4tOnAdjKyKJH/pqHLta5vIygKkW4tJKJUOTXCHC9gO/Tir CTudI7+T/6HJkgEyUkY9lt4pzuhvGu4TfChN4u1DYfw81EhxtzASzWa+NASy/qVVLcxnDj1j4hKj qP1iaeuqZuNzG/3uxL6A9DAZn3e6NfJm2n/+CrlT7l4jtxsygKtpP8mNvj8ThMN9EoNvZ3HLBVql BjR3SrPmngM+XrsOuPavuPBIk48iLh1EVtuGXhEXlfgCWbYciDJPqUWA7JXHblbDxGml2TQwXrCb HV1tFPWAnlfyBp9xJImLi8fJGByfonQ0/FwmBXDTdJmLpFjPMZmlYoSFvHNgczSpklNOd2W1slQs JNgIOaDAfhp6lsncoIHFwWOMXtRiTEC6TBwq4bU73fC1bC4MFj0vxDAel6uIlwVk1WvuyiUFTqIP zVhvkppCh3WvHwjjXZY2s4GYSSo6V+ghamXVXGW/yuvlIpe9QC7yfDUQGJtW7d3ajn0NLOizrKDP sor2UUjsB13UMug5D08LrMyWP/xQrno9jcPAQA5Tjao7dX3F6oW64vN+sK7UtlvX6Q3bS9ErOLpN xDjs2OetkHUpBSVmMfegLV5dWsnsAO5cKeY6Tmq5x8kYE0Pn4FpaSlqEGUaRTIRoQOnnzK0c4hwL GT0pRwJTsPhv4c+JKr4H7OTwZqjDEdGATpCjAv9hMpoDY8yT1YiCc7U2YVWkDmkTpiXpFcwqRjfV jTdk/OKuRZuFoKniGiM6FzrS+EO5LHB/QhZyyL4g5oUe07xMmh5AEnsI2W1ipEu3WVObtceFuyyL z1RjZZ3xktlWd0pW7rZLrAv62oDyoqTLGghGgSIdOST1xkGnObp0U5fqu1ifXYrnfxxnjaizm0Ly UYobEEuHqki9XBZkrq96C4XxoqUWyMSgpi2zUpEfQPz+xbd//Ha4L57pthslzhRW/IyZQMA1LZ0o dS3/g1ZCS7ucTiXFPsOajl0h54tmDXYybh6KjXRxRFl9HHbj2+IyXnzg6mye5JZb0QS/QySTClaz SqoMsyOyYR8/R+onyAUuoEbjDlRhUsRYhAWH3BVvrZkQMQmph+D6gyD3mLtgrbmtTytFwM0AFFs+ i5ObG4fUBoHXq7c//EY84ZINarpZv7o9W+uubBvTZmDJ5OocWPIRJppHJs3gqpyByki4Osfx7PZE UMPglnzrAGZsU1A+5TAraqkK510PctDzR+93gtAOZ+vRUywd1x269qYwxtoxSVk45tA/XGOB7aiq itzSV0+PwY6znGv1VbhHNFRy6RkvpH3eVGE92IIHwcVUcvDsBcydO77f/9AHplbcE+mGW0dPtX3+ Afqp6T57EeknVxO5aMTfZFUeZ3y6jMIsLWXGzH0HtuWv0BZM1Qtt6yZk9sLWzQk3316uhyGgRQXq gjJLhZA4lDYOyE5UopLN5zLF6F++5qw7JrdCSHdZnotZuZBgWQMeYzSrUWq0NyLFj6cqh6H8FCBP CEQPjj4kaLlcYrLIDUo4tr+aZzgnmpH4/vt6XQ/rBoyPaiB2dGnJsC3VL3fs4Sbvs9MigzE3oEsl FxULYyCDvGYuz8Y0jeb2qGWjoLY1pPjeQuiwaBxdpl/J3PT/ziLT1V+/b6VxOhXqLuhL4HToyT6U ypHCLoR5S1ndctaO5SEAavOpjmjxSE+M5HW70UaYQK0FvdwychqKA2fB+TV/rVHvt/RP6He7vrGb DDcF/eC93GX67Et4nAgsW4fbHAeeTm+iJvPssdpW/Mc13Mo9juT5lbC0K9oojGsV6jpdXe+Q94nA HYK77nnP1/zcP7ni1fx/4nzj8zLT9lfjS0y3t2L1vSINbOY4ID2NFvjaf+HN+Cd26ykZEz224UyR t12tunRAQMUHumbuO2VSY32b5EupCssa5EsR83R1gYTa8ty546BdIYgHO/sPdfQf6ORrSkVm6NIi Vhs/oMLggCbQUEWIqGZ4mSeVJoPhM3wX2s5e6gyLWFgY6pKNcOrS6yJkn3NfYJLXBNdCsgPwAR5l xDRfnDyeA4vY2iawJUArLIBHzxS2W6Imfgvtn12yMRgJbEjfGJehOC7BvaaogN9J74L6Oy0cmlDa kYg6xNQKcTXegucTe814r+LNcqUUudsIBdw4DsxkAIiGfUrDwuNw/1baQ/VRSDxlJJ4SEpFOrCgi 3oJVKkox9UPudeM/EVWi2RYDtoFP57MlOecea+puxH1ylVBha8DdtjQOP4YLdTg0HpTRX3Td9+Zc wEODJgrylqgbfghkR+TNW2OKbwYqgsJrHYvNCoErXzYrg/iqc88vvu72q1pTGmd4ljRnJS5jdDm3 L+XW4LPbOJu2wskRytw7vKpAfkliX6mCpE6p0hVNSmhN4ZZbR+ulXDnk1dmBi2CjUXomEDdw6cMg /w2phFuKLPT8cDN5TvubsxDX6wVsVPgquKEjAg4/NGPnKBF9j/lMfXSuPWsuDjD8UAfXasd5glM/ oAkD0DDEgp+Os0oG3lZODWY0UOfCnFNSYTwbdMDbZd5ki5x9aTpWBlaLOlDmmBGYFaO/PH2FlmS5 QHZJcrFIqmSOLptRPmhVGoO8HQ+2cEjNqYDnWPt0Mh1ibg5VWC3KOd79kQ7wK8w1Aaz1OYeW0uuI DH2e8WP8VNd74XWyjbZ7C1h5ZFang+vNqaTQt41wyMS1fl4E7zyb54WHpnKPFaGfsD0BlswELJin CiB2ijK81wsNqckae9mh7m/HqIhjyMb2dF2n9e2e3JuqXdYWGbfcImiFQFrsS9a2Zd1M+4hbONZj JjdUgWiQVtMVcCZ7HvHQXBDRYX4bFwoo9vwhbhS2D+vS9dUHaCXLtiNgLPOe5MNy/a3WeU+q03Sf ZKD7QmjN7R4Fp3H8h5npiM1Twua3stTteULm8RRapWGUAw9RGrMbNDM3EotsBcrggZGKTkTt9qb0 wFMah2A9RZw8vNlIoVOBjHijzga6aGPFOJUqI+5OxX9L/qzoWf2foJSok1kgRjiUKTahmqI0m3hV o7R/FCWPiNsODdjlZNB8VR01n0LwlY+6riM08jAbTtdjmJ2SDt2ro48ecGeJQoBxVXev4VjZ3WM8 D6Q3oD5CvHGwRXKPeXmQvDG8I7AbB8pUy+2jtWF6Q9pzqhvH49vYtg4WQPNGOuIdpmssJ0yHpy/1 JqDPrjQuJ3PZlM+yHl5uSJiamSIbkiQ6Ytu3p1xaSF6oIysbENWIhcdp1AGZjhhUZBOtwSBjg+/F HgcSARLVH9Q2ZeSCUGVXFo45k4NWkee06josPQZOd1sAoXVsp9vcwtiyVplhN7+lSxB3k6TotG0a MdNUz5BQqIzDIZVSbZ1/Rk6WnpljqUZVmNTDiyZYgzrJc86YYck8NdSnl8uiwbPO/qkqxwKR9UJO MjoafPLT9ejtOdb8cL6OT1lZBT5PKEGn1LRDE6WvCXdSMCVdvEc3/mwITpj+UzXUloqpyFGtruPh ul9Xprrz1JfXinM/3pWGRllQRvttmWbTDFb+B5lrV4QKL3G1z2D2nddzBSNFGYWb6nZtGdCqZdOa kSZp3RQWu0whiv2Wy9g2oP356N5ZUBHctlwk8Bti9uOiC69N12r81li9NTfU9R0GPYEdxTBpUkmV Onc0lHe20A10qhtgwUysspusaO0vE0kX9+qrNoOji/Yckbi0FXsYhQo8K1Q0tTlCqQ7hNGBeYoUV 1dAmWCvIZxFJIGu3e9ewXIbWEHDKpekp6tjcLPHg2PsRuGRygNHZO7rTE4u+EoH1Cbr4cFmAWk0z jovk66ELSBeMmQKvhaxgxBpLRNC4zbO5SSvxunCQF+YaxwfoWtlqCIU91waTwZBMG3V42CyjC4jn 46AYXru4LIwNQJdDjZIKw44jUuJOenaArm64YykzI2E3Gxso10UwFMF7J+73zjj3TVx6eUvwCld0 /c6aCiJW9H8AXS+zJqGSaXeOes9qkHbEz3j+kBbvtLhkT33zGTJdse5GUG0diSeupmm3tGZcbCwO TGNdf2zbRTYr2y2s3l6FJXnr8AHd2cTuZIb56z3w8fee98EHdP+gf/foj7CYewGdF9GoAXmQSOwn NMLa+boOthVYHjWJSOzTjKCa9PhBAGJl6gEXq+DV2r7qugBwVatbm9a1unpppf+AJ54Sfy2ba7lq nCw9mKbw4L65emzr83Om6/+5/BXLm5xbRtDf98uch44MWDgsDARhlqh4AR0a4GsM8LCAKu+kV940 hFvzSbbYShwfmYtnOpifT+29K5tTiy4VM7nLNQWrjs9wjxK9XEzAgdJFI/LIkDH38VFSTWbB+fBg aY+9OBufD0/UHeWaW4LInadBHNKozurs66SEXbdelJRPUfmcxK2KoC3PAqLeWdr3XCF2aWIRcX+6 GWp7oFhPRbLFFKshvZASLoVQVwZZ35XdpkQ5shneu7Z0Curw3GyG5ZgWUlIHk+XTGrWCuQ4C+ptm 4FHHxEl7oEW0TrNwuCLPj9WDUNEmrSZHLh5W4ykkdNcgLwk7ZlYBY2fKk0ZPphJ3ScHxf15YtTqa h5wqQxdQRlDI9VYrN8R9mOTGXGRHg43lJOHbW/TCu3DQ7HCus8jvsOiQ7zZOxhivQyeL72/iexWc 2WVTnxcCpceEVRp1RAJEj1CAoroPs2OaGTYk0Rz/c8AdvDV2Z3eleU8CwAqLyHkSXnO3g5VJ9y4J Jg6C0q6+pt0NqqjEhUAu5jSbaMMS7CqXU5BN3MPf8JrVXOkBUaSHtdfB/1tJeQqFUGaPtMGfleSd EzSEx35EIJfVWxQiYLCV+s2cjTWyT9teKpGv0RKZPQ831Iem2vRzP5k6yIPHrHSi2MmIqlKyXv9D DIWhmndY/2yo7mqcgHc9pPlt6HOoCzsc9mX9D7YBdVB6VHTxMgO4Fy+7Toht5DF6GG6JYuS5NAov f9OxJ1+d7SNL9XZqdiEtoWZ5IjuPE/kzc6USD7zALX53UFsh4lHYEiyiIpPFBOY5zjAwyDdj8dVT yA6qtg99ihJEz4VgrzuzT7+sPasO2Lr2rKoH2Cgntltoz7bzr+7b7uSHbcNegFdBcQXqAURheJ2M gzTaxDQEa4l+4AUVVBJWRoDfnKfdTY/KfDkvQllz89dT1FdjuouncMFSvA7gThDoMXd4BU9B1NWi e7/YoTvinTEf2z3PQDsf4c99dHR3sfNNrCytPT7XliQokRyvQRMNOFxO5IBhKOcOe5FpNiSeVUpQ hRzRzqKXdYdCn8xKFAq0dqobtEDwpjCFCyZY7+TX6P/Lmk8a3CSYMwIxcGEQsgC+oXwUTsIBMk+q j7wxoBc4mQDO3umz66C9qlUxuV7jdBOCOPZ6Pi49QdPx/7Z16UneSt2C5pyhMVr+QRUuqKJvYPEX RgfF+DfmaVXlAvcn6qwqgRayajIZ3Y+4GmhRY0vMQwNu3+t5RKDjx84y6GmbO2V9m6MO2otQMFvy 5XLwdFlw7Ih/RKDkiy/xt2SId+h0airKwu55Fpb6wRlb24U3qYzg6Ygf83bmDY8UUJq9cClowgo9 LNsJ3fgpa5LobgfMgwJN6muIv1R1Wd4d1scZFkcgZIZ/etyLFRUxM5A6eAW7xGv82mOY72nI8IIa /DyQGYy2MoS9h6bSH6uxTO/7ayv8fJqg4AdZ4MDSWNsmKqzJsxpoBO9R+WV82yibBwvXUe31MJys HdVaEwDRbTsFfGPbdeSpQrZ3bKZttlJiJA1VuI7F6ahwy0xCndsO8aHnQP1IhkFVy0WDz1nQVFDY q3/l013kgxkfls0i6xsihHFZ5pLy3ZGyAnvzIpWn4VgzungB/F6YFQdjDG5ZrfNsefbRK07I0E72 iKE7baNvkFn009ZovETtGacNPm3WbJTjS1dKXJy07c1tt0mPmwglviC1bNvw2bA4vMPLo23QwBW5 Hyz1g23bsaNfrnNhtjO0FNH6CXmO76Da+bH4WOCdH3bs31U74nf2uxcbtNsVGzWBX0HPuuOE0dC3 th6UlYQ2jEr1agvCkRtdzSP0pWiql/J69SW3+C8BtuNYIIskYz+Z+7bS/MHVqMlikWdqO9WBaHMd 55oi6h0ORIJB+kZnYPjCFttUtSBJBY+N0hxqLIezjR9gyyLY5o9UJ+A6k1xShFSFxDBACoK2nDR4 s6V6iu6Zad+49QlEdsDzgtd1c3IgdKQ6S6uzrWXV1iX6ZC9KP1dYGbvwU1GyWYdPTlTo56qqw89M xHw9/W57mRvuLQss+TGM3NIPOKZODLwPLSDsT0kL7A9wItvoxqQFflRNiU5bBGrcAaNItRmMatQF hufzfu/5Bz2n3krXKepjl3H4wWdv7Xfz7rhRWpUH84wDswFE08MdNosxk77ptCDUiHoX1j9coiIt GGiZZU1tlZ2OBfnSr6xTUhLK1nQsgtQJXtprlnVoxkKiI/+SLsEZG5ho6iuQFdXJ8OUengKiWe7t 4UrBKHXLCVWYk+fIbrLyTprW6Tf8kMvCJfEGJYRI/ZWxlFWTXMGHB3yYOITTq5I0W9b9LgXmFkW1 tjaXwEPWh2Dfvt//AP+1GIZ+WxYIJvYE52foJOx3vAhIlV5rNfst9gKL4CHM9SVYCob8J2IoZzae pqbrP7hL3Apy7uxWFsHDqNqmJ/smQ1gfJE2Pe7dcEUczkPH1jyafGvafnYSfSRPPXRzqX2iOkkV3 oVgDohrnF3SIegCgTXg9LVw1HPe74Jdh/WyVm+7tpCeGJJS9iDksN4buXhTSmLSmhdOOp5s82Kz7 zPM/ZZBbP/80s8e2Mcl0J6EET84ozdHnL3Vg6UWzkGgBZZQkw9qgHh6/43Z9PgmiKkUiRovOX3Lz 99mHdpOVfj1ctV+uzcvIz541fHUQv+dairDJF7KoEMfQhIoj2zKZ2s26zvA4pSRURBKdDU92luTZ TYG+r/1R8I4J7iKz0n16rJZSj8XcDxd6hU/J3Y6PSj8/3rWutGJ7PNkHQeXfQ78P2GcvNizRbQD2 +vzit1+hcFD+CfeOcZFd0PphRngQ3I1r5MPtWKSV+A68Nfg/3cTCp7pQxa7pOf1/bY7wdQyk1bF9 2xEuvKIKB4o0HfolgrSfiWhpj3OfC/d3twC7AeND3BAYEmZ3uNbHVGprmbbgTlWE2BStbCpEwda0 mXAHC0X1DEpzMNrCea1hZHcKyod4Clg1pEbRNgVXowxEWLPSs3nsTkvdBS0OrENNasYvwWIa+HUL BzqFoeHteuvFCFCohkegC7mSvC51qT/V0IAMfd1QVY4LCC9ElDUTEyno/C6TrrbV2FMxrfpJJn7p AUJ7PK9kkoZdOe/n1294yAe8rBmQ99jtJ/XxQxMPqydjJwdMO/rLDWjERiP58E28um11tf1t2sdj wqX2x4hsHaZkmFZyTuVJ1twKhQcBRQrCKgx8Od2QHlz+pXsONPDMLdWxcPycnBJlddxMD07RecBU DRQTqOtKpQQKOjAFnfC2uoWspnQn3ED9dkupEegWGjRTPWYI7aW4hI0y9wbEuHj5lY3uSduQOdkD ceB225q7Zv1xxloIQuY2sxpeEjloQj1nhIC1K7usLmu7eGp8uFSyfcHkfcxp/GwPK+LHMdDxH79B R87M6eMb1PjxYp6fhxvBeDB2Xq+wqgU/Jp8gvFyOztG4TR+aCTHgp1lX6cuVfg1/TziTFsvx6ngQ cRLeS1CVWdozsD3puPfv3mrCDZxFGqCDgafN2xd04+d+jpn+KKzDkvqY2d9BPb2tOiu3QZzws4lG 3VeSuOtrHP0woqY/G24K2VVRCT/hFm9rYw/hqBtx5G7v0StUaS288iHSR2uRB1LL9tlEr4cvs3Y8 HB+q3ejWb8SGd8gpnyKGs+2A8fOZ47eTq/j5UjN39xcwKXhzsbbHfeTeoMJ/DOyw/Md99if1UF0h /PgRGkXlslksG+dSA/6NCn1DqvrGMRPzFUPQAzBNbrOJHPHl8tpwAmvhKMknS7yfQaTZXBZ4Xytf OWNSrRP9470FnaSAd4yGAmmPsoUhAG9IvR/sinP0Sv60L36nkwN0chrLzZPbJMu9yom5/ikVfSE8 //tE7A//ZCEeU9aBOuABHH2jggLAyeTjIzGmKmjuZNodiBcmwAccp5D/ToT3eu8CXxQpLLRbh4sq 10zX3Dry4omG7rfUc7C9+H2g6HZB91Sw/FlDN8IAw4zp9+a5e29Z85E4Cijij9Gn6k2GdPOLxefQ 0j5or+GfO6ai70N5yEy4BTxRN8AciJ7uPDDLHRMe/e6pgTzwn5kbMbmzYmvVUn0zqDtMrzuYW1os 6s9EzwXzzJWjvtNr7U3S6abCEF39xIYLFq2UrlyRXVvk3VyvuueFIDxxunpDm6brSNN10JQb63D3 pHV9y8AS8fGj/wVQSwMEFAAAAAgAr0U4NXwC4wW+CwAAbioAABIAAABsYXllcnByb3BlcnRpZXMu cHntGWtv2zjye4H+B67TIvKeatjZdrs1LotzHCXx1bEMS+32gUJQLCbWRpYMia6Tffz3myEpiaIk J0Xvvp3RIhI57xnODEcHZJxs7tPwZsWIseySo37/Fbm6J5OY0a8+C5OYnK+vLp4+OSCjLVslaTbE 538nsc9WfgzYEc3IP3+X7/8KC7xeQH8lAIvg7irMyCZNblJ/TeDxOqWUZMk12/kpJds4oClhK0rO 51Ni/Hr89aiLWAvqB3z5OowoGdvzj5PZOVkm6zC+IbuQrYDu9gqEuE5SElDmh1HWe/rk6ZNOp3Pi Z5QsIz/L+O7UvwcW8zTZ0JSFIHEQ+lFykwEkInjeV5pmILTnkWPSebagX0N8HZKj1/0+edZBcZ45 yTZd0mf8eRIMSYRENwXN3uZegIMNf37Rf/Ni8AsZvBwevR72jz6RYIOmIc+Q3XWarHPZw/UmSRnx cF0+7+4qIL3LJKBRb02zzL8B0SXU5WjuTUcfrYXjLaxL+711ahL+7jkXo7nluPbCgp35dDS2TiVB qXVOYpbEQNuP4O8cHBGzU74vgZsYlvSePpmcevOFPbcW7kdYfw9/wXYv+/2j6pa7+CjWf9HWJ+7U 4jsDDcOxptbYndgzvvuyj8yEK7kbSy8aLQp0h4hC4BfQa+J5YRwyzzMyGl2bZMMBTRL7a2oKH5bw +Gsh2ttLp9PpqjQQpOdQ5oYsogZn0hPP3TqcoNRztlfZMg2vqKFa2hQwa3/jpXQT+UsadDV8Th5s xf9qe4AHO5LDpb8x6uwBROOth1UhAeeQgSDr5CuXoy5JsmWwv9ymcP6OyZkfZVR1hohATwBKS/7o pzcZ/Pnxdlf1RHjdRHZIUsq2afwQbzfdUpXaxo9pBOu7u94cHyX3F4OKHizZnCR3AgwenPAPmhrw jPE9GY+mXY3gQ8AlOKRBjICK0RChjn5hLyaf7Jlb4cZhe6MgQAiHQY5duvSOGVwKVMMkntHhLIak 0+2aJSr++iZyGU0n5zNvap255C98X0zOL+Sj2BpbMxdSSK6ASV5WrQMcPYY8hNQowZilUS5F7YCb SogqJ6BOD0/LJM7wYMO5SyBZWnFgNOpfIplkwNU6X9i/KQqZpN+teR4MzLE5HVPao0QcTWvKgsPu N7SFTJsTqlYHj4jSg5SG5HnW6ZLnFZPAuvFIZzWKCNnwd7pEoymCwhr4R2FzTlkJqFoVjhiHhqIM +Y4Oq3KgpYEQaFFiDzlgR6FB4Yw/ClGqjwx7U/8KjmC7m1qDHEl3zcebiFuhmnYktZxfBfxqyxj0 AYAlpJank6/KjNFYq/jpc3KsjhrkkiRL7x8gBqVSHOL0volASqFLYQ/QEJWYk1lw+CZKyW0DFXgH QvZbjmu/bcJbRklGW1HHo9nYmnL0MQI2c8aDfkqv/W3EjAbLN+bTxoRYwPN40f2WRwhPCH/Bg/Vh PppBMRv0H6IBjvoObOGl7yCQ3H4HMvdQK35DWkR3QGefTMXRwKKplzgEEa5QTkwFAoU4C+XBatqU FC4grWcFlFIGeNHlesizqef14mA3oBSGqGaFQnuOO6jqnjdo7arnEEJzwa7OH7VGyPpORWUNhNOW bKv5vPztS0q9kzDmKdJ673on71wX8w8nasdFDlJFKsusiulaH9wCjxfnMdzhbiodZnlu9/C03zam u30okONa8ss+LJ5XTlhcRxXHbh+uSIdt5m6xfLVBOUuW28zQHbnyv9LRZhOFNFBbXgGFTe82zvL+ 2stvVSIklLIJV9F3JRzhVzA/ioprWI/fVSuMZVuvoH3r1QF7fx39W7t/1LC+3aRfccuAa33ScIHt kck1XPihFxFXmp2fEUlOaZB4DAipKtTLF+XeAFTihJEwLvXlDRl4UWtZ+D6nbdRUy82nXlj26oZT i7UfxjsIx2R3mFUuz7lLe6oqde82yKKcbikKxHTMVFEONilkHFK2IkRU6k5FWm5nzlkCJRv+B0yf rZJdTESlDxlJAC7dhfACt24AYBVB8fKLE5OCkAcxCWsMLKyAHYj+K+9JbyjzkJonlg2kokRmAYyN ZsWrcqe5WS2Z5LrbXKlM3N+L6x5c1vk8Cv75ROx1TH69ODZ+egUV5Kjf1xvyg4zd53ee8WjOhxO8 LjkfHde69C6t2Tux4F5Mxm+9s8Xo0moncWqdjd5NXe90Mpra557jfpzq0JU8hb/ryL/JBLr9VvCa jO2ZN5md2YvLEYpURaiZA8cZ0jeKScQp6Tbh9sYQXDS15RzEaAZS9FpYzuST5Z3Yi1Nr0QjsQHTp lRZ/BynNoCMEMgogH8PoXDU8hXYurbNMKY11PA7JFfaDQI08U+I3we+RuuHWk8uRH9x8XT3AUPfa jm4+1lDB7bdt0O05QizuQ2ssSIrAbSOwJtoNvKFAt7GH7CGSHmaacB1Gfor5cuzHSxoRerekGwap yWfEj+/JkrcjmVjY0VTJBms/oAATEF9WXigUkHDzV700PMZuokF4vHeK+Z7A4F2CXhUo44lWjEwS kXVlmOglS8D8ANm0o9+m5cClMyQd8g/xqqrU5i5NwGIYUU5Q4T4u6Wm2ULvBPb58twl8RhWtpKy7 FdQKXN1mwE+4UczyZU2Gc1c1QHKFIwvOA6cVFj7YVzg6aBhZiqFGoR7gIs57P9pWx0scuGKF2iSq VJpPd+WEvKl7mcA+7EKdUPUF1YIojG8qyuAXD7UB4I8M/mPJCcIlw65ig58x0BAZngCshyqBOIlf rNGp+dC+x2nmE3z8brLZYmPDu40wE2TR7ioVEPT+EEAhI4KfAn5gZEdV+EgA4IEINMvlzI7Jn3+r llISqAiNShpVrJY3YrkKKz/zbum9KPhakKc+NhmLbczCNbXSNEkNHIWAziKaOZOAPBeFOwKFgntu NT5T0loIletn3PtSVBZVEbHCexFFk/qp36OFSk5Ytm4alWAAaa4unUpF744eLxhgCqE4BNIUn03a GwDsRSpea/hgUnwiyVkXSPonEWzKZIdVsCQlz47uoPYPFw5Lk1s6TqJkWwD0tPUKwlkYRXXwclXj /HDPok+6lWGkUJarKfLpDBQcYmauZxiTGEd985WalJTzuWemXYw+lIl2gdc60C6wGgahbUo8ckYt NDnqN6tyxfBqorltp40JJbcyNgQ8EQgdyeIldN+yHR/8pHM8qDMSF/OU3qTJNg7EmqHFih55e0cM 4fJW4JoNajVqz1Ehldb1Lz6QVCzAVR38XNH1JVfVJBU/87tcEKZGEwddKW0b7XLiL291u+RubTWR 7tXK2XrQpwitefT1IzxaMinkropdAnyrMxHTrOmy15G6yg+48fVeN9aJPsI1Dwh68C2fDlvTlzx/ v4UBW2FvKdw16FcclC2LI8ABZT6E9kWzSMaa44tjoaneCNqKqQav4G0dxseAvvbvjgeQxULRZx1D 6O8hty8InPlkNnYX03ImOhatrFlTpt5bgqPGqyRcUqiRS7yQ/nmIrtr5aYCdyE0SQ0924bPl6nCI xoc7/Lk9G029i5E7vjAPx2kCJbcBcrywHQehq5AaQL4JGa2N5ZnO8iJJwz8SaDBVqDIScjAnicKA 7zn2dHIKCyzcRFSsuJP5fGqZh27qx5kYLPINdzGaOfPRwpq55uF7vDUsK2zyL8WCyd+txpyGGcvn P1UT96CXqg9Vq5i9LEkr84fWkObpZ+4zaDhiJaSrOSe6kqlAAoqQRkZwlhRqBoQrx8XHV33zDQ/e unj7gnE6cdwT+0MRi9OTPBZ1KbQrWA649yZfyRelNg1m/twg9+fivuUUc8Xuly96wpGjx/G3yFNN GHiWm3jVcls+RShqcBs3ef0SEzmeJ2VLi01oV4dDthLKZ77RxQQMdoA7z9k2ivTRTjFpVKdQ5Jjz 4p9I9bkP0CwnVxqrKugyLyqIU4KCRPCsA6/oXVGEOgfP+0d3+f8OdGiGoPW5/8WUZD8PysejLxqx JvcU1AtODTj/rbaipLig1ynNVvW5lSzW//f5/8TnlabmAY9/f69SUFO8/R9QSwMEFAAAAAgAdLM3 NW10MtzFGAAASmYAAAkAAABsZWdlbmQucHnEPf1z47axv2cm/wPGbqdSoyi2k7TpTZx5sqzzqfHX SLq73rveaCgRkhhTBEtSlp32/e9vdwGQAAjJkn1NODeWRO4uFgvsYj8A3iHrivQxi+aLgjWmTXZy dHTcwr8n9Pdb+vs9mzyyflLw+6CIRMIulpM3X35xyDqrYiGy/BV+/7tIgmIRJEAv5jn78Rf1+3+i Eq8d8p8Q9HUWJHfsZyGyZZAk7McZ/m7fqd91BMQZLaKcpZmYZ8GSwddZxjnLxaxYBxlnqyTkGSsW nF3cXrLGT6f3J03EGvAgpNuzKOase3P7oX99waZiGSVzto6KBdBdTYDpmchYyIsgivP2l198+cV4 fM+zHFgYj9kpO/jDgN9H+PMVO/nr0RH7wwECzTKxZGwJ3WTRMhVZwWbBJG8BffiTRiWIakPBjPG+ +p7xXKyyKTdurR8cvPaVCHncjoNH6KICOgtyfok3fJDLINVwV0Hqg5jGQZ5Hs2gqh1MBd/HuRSZW XhyQ/S8a8nZw8/fx2+v+aDg+710Mer2hn+clz/NgDrNB4f3zyy8YXFed2/Fw1On+DIMx7r7pXF/0 zlt097LzoTcYjjvn586dQe/q5h3eo98lkiIob77rD/tn/cv+6ENFdNQfXfb0T5fJt/0ah8NuZyu8 llw1FCS186AIbjOYI3ztjgkghWJ6p8HP4fttkPC4BpVPg5hPgpLwEH+fBZmX62RVDjF8d0Euo0l7 KpKETwtRMapv9LJMENX++fiyd9G7Ph+Pbm5hmn8Hum/eHXT6w568f2Lev7x53xvI+9+a989uRqOb K/ngO4s8TBF5+3vzNkyj26G8/xfz/vDNzXsaUvnsr+azN/3znvHsB+zH2RXMp/7/9sbv4ebxX4wb b9SNL7+AHo7hNipzIdIxaRMoMXVRP8iCKOflI+qlfhQLGNjykeyofjYRRSGW5UPknh7hs3wh1uUT 5L18sojCqi2SRNkW3hyDvqU8KyKek62hiccu+ZwnIc2fRjmTmq8QAPUg5DM2HkdJVIzHjZzHMzBD YB6TogVWKsU/UfI+SkKxRhymrpJQewPu18dN3QJe+LBdkQKWqx8OlKQAEPJLjcpkBaJLcgD4+Ml8 mCI7Z+IBHqwf2vBlGP3KswZ8f9cbjPqgpHWOCiFiUBeJMpI/VEeoAz7g9pAXBBoVICBsBNugz5Pv YOn7rmm1M1mmQF4b7fYFLyTiQN1pqFnWIq77IzRgow+3vfE/bq82cdAJQ+SgYSljC5tqVRiEBUtt 8YbH6bDIYPk6HTcORiJltAwc7MlnOe1fximR2ZHXASrX87gtNfFl3BKZHbm9RH1/HreVcXgZu5LO jvyekQ16HsPaYL2M3dJo78jxECzj8/jVZvRl/JYLyY78vgF7/Tx+S+P+MoaJzI7M9sKokMyy22od sfm2mgNHOUarZ7CjbTCy0jCBW+yIenIxuHkP3+tEz2ApQDvaezcCY3Zz2ZK3xzfJlbjnYLRaLApP LYPnimE7ibcuBTJE+9E4F+vEoUIGYj8qUu8cOlJzdydUDZFDiIZ8dzqoUjToDplSNXcnhbPdR6rU Gs9UwojsVLkoI/ihFl/bDax7Ir5135hzQKjFjrdPOO06T0jxgAntO0tNVIzUG97crE3xyRkPbgTE wgIkJlZFY5StuCtqgJA+jG7L17wCegMRcE58UEsOJcM30l9rMONxLwkmIALpXzVeB3HO62x3Mx4U pPRbJkb38gYXeT0zurFQpCQO+pxg866UmE3HMuPFKkuq2dFWcE0Td1jh0hCZBCpMBYXPt449AnaD 5D6Q8jPc1PaUblttnwtQGh53F0Ey56HiIZbTfo6BcOVa4yXuQOZRHiV5ESRg2BVkGYy7rLmjIO7q kjYYBE4gPiNKknSN18pQ1GQdRzn62ZasJUEevoFwNcimi0d7pGvdARIfjz75OxTNAN5oz9eBm5Qn hGfwWRKlL8ef7D7xvMjEY60zSno01ezZMq4JocX4PYQWNXRHXi4VtRJtJUFyRMDuKsPwpV/wJeL4 aL3dn9RbPyVcmPamRUg+anKB2pueQnMplivM0wRJt0pwy9rluSZ7iHTlMEuCMwEeE0xLabAMwodV lFqDd7k0Afwcbppb5bK3W/8q8A39U2RHYj6P+TvQtUkUR8Xj09RrGB4t+AWUOxI7zBWtkxrBpTXg Sxj9p/ttqLqJ4pskI7R7uxIjMhWWTc+xoZKkSOo9VZ6sBPeF1IC0D44KbvfEUkHmnlg61tsTzYi5 9kU1wp99UVUgQljmQFVq55+GhsqZ2SxyFTFlA5/dItstnRWFW1NaBrlNSS2gUMH7rrx4jLnKJg3G 573XnbeXo/Fw9OGyx/6j7lIoOri5GT1FC7w6INU4OTqigoonEtstoSbd22uRcOdBLdNmPZ2ihwOx 4TgnlwCT/qfsyOTh0PjKRgvOomUw59KtWOU8xAoQFlLWD1qwbBrAAyrKwBxZ5my94IlJZc3BA0Qz IV2qnAVJ+I3IGDHDWcCcMsSEE0UWFSYVCZ1T45InkEs0xZT9jIG7rdugZ1gXEkuCRc7bJqFBALex SBQkEgdrQKuEOqeQgWNkoMBaE/W8EOyO85SZdIosmN4xMYP+RtNFyQ2WoYL7IIpRY+CuwTCRMkk0 dFeBSgAC5PeRWOWSqyBuoqAQPUEXOo2DKbIk8qrnlpSxipXwte5DZnQzSMEjC7Gf0BHkB35hmxVr JiViswFDsqLyGJLhslsJjn1Q2H1smtJ15hsB9ZfzSyDZV0y7OV4CJC7Gynn1TGu+TIvHPgIBGf7g zlo59XXhBZ7WqzGe6AYRQEd6DxA/hV0Rx0Gal06HA0s1gcqPrKAcOCuUhjh33B/1rsad7qj/rjPC ShRBweqI3lUHVPAeIq/QTYQAomuKa4SHvcuqvqWpDsso5jkkidfeP2471+f96wtFVbJqC+nZxLs3 l5ed2+F/ifqgf/EGA9V+9+dKJAOsaXfjaHrnp7uF8saQ18KwYlJjxTKb3uQCHRwcDMkUg7XjS1L4 VKRslaJZFEnBHwqGVT6As6w0mWYFKauAaDZinEtax2NaVZlMnOQCjdoiAAMZRhm2ZxILpqCYOazk hEgJHGQnb1MzxDSYWTAIlf2nRtEOwGwLYx6a5BSIYoCSE8BBBLElWwrQcGV5JGamTGac8SB8NMlE yxTWE2ibh9IItW0RvE1D6K8UXLWeqd7LnQxTlH2FQ6CnskMYGOPUa7hTS44HPUL4pt3oOZ9FCS9F UD2CwVilYxLLKRVjGwe3In2bHrRgkLe6BR91qe++dPO3IzCykE+A1MuHOyOo+GBHBLnu7ghMddAC l43P18VpzIOs8mh25CRK7kEue6NJ+HEQx5+vA4WAf+mu4saFaEdYqlbvCAtMyAL2wXbwT01Ug7P3 rBOGPHzFvGOgsmc1Iev7lRQd7Ypy8HMeveqVm5p7K6KksFR3Ec3KxBeYXIAbieEUTFnSaBy1yNMu YRHmFvWV9DS33e72ZBXFIWlyo1LqZgtZsAw8GIJQVu7NjKFj3Qcy92nZVdplRBYSEci0a4xMiLIX 0M0B/HSNFIY8UyHuIm4Avo6yvOgugPEGkjDAwTtFPzRs9/Obu4bJHRGblSRuH9FfakRhExcTYs0B xkvlcqPQoeNj6hpWr4onDWDwpohJf68S7E6pG7XqIq41KjvkoJe4G6rC8GWejcZWE+2Xfmz4dyxp /+AqnwOhYQFxATjOyg9rblC/Rn2fk02HsiE5adkuNMqdUT4qMk0TNi3HW489xpIw4gnMPJSmM+g4 V5f5vMVmq2SK8YwWyKsSu/02gZv5NIsmvFHCNm06h66aQVASq5DPIjDsDYf9m2vo0O1lp4s9qnf+ 0O5krmXtNFlkj54pvJUTiGRzlyOQ8rAabf9Q7MgRf5jy1N2D5eNRZg/NW9TAORjOgnfiGK1C7olp ZGLAmOF4fb6RHr5snLV0hzvLdke5bmt0+F+YWhJo/DqK47LE2XYjAE/JwDVLZGZVkcmwnMPtFRsY T0LcMpjliF3p/OxIIANyjapgOQSxDirMPFi0ZXwLzutwIVZxmPypYBN009GnCNuOk+DmuusVjt++ 47TRSGamf5dOl/Wb37bbtGPpd+y2UWj63Sa64uG36T84K2KJ2VZpknNyI9DNO5YfJ7Y/ATFrcGxI QLtdiNC0wU78YCeuiIzaLVE3K7dOf0kkuaZL84XumA4mXspdkuDtCHNuRPukyb6u3z3eLmRFzEzG Py00U8R2DfElU8vCQR+SSmsx13s17DbtMuBnb9PejYGNeguEL1ejWsuoS/KmvtO0+KBOO6XFmgcu Kwy1At6mAuNQZIWfED6hOAHoNXSXqtDHde/rnXWpRmFNNhY7BDMji7IpMFJzluKLFrOiDLykVaqr p+kn6EEywxvVcn3zSHXoohaimZ1BidyS3O228FK2rOyR/VRzQ+15jMKGzlSQWiLmFLSGpuYz1cbl MM0gbLd8UfW9nEJXcl+QxpDzowrQaqAuB0N3G08tejxk/RkmQ1X5CePwvMweUtkowQNIuA3SKJOF AqfLAuI6o9yh/ep6Wc07m2rOuqehWufHY5nn9Exj7LKPhCv2KslcJh0ouQyixALPVC7e8aOSA9bB YJpZeQl18IqyzLAuPrKArUV2F8AkSEKKHAI2Wc0xalg/YAUw48AexCrYQGDSgaCCEiFUr5LhjNZ9 EDKX6/xKpnatsTGJyKwmsgGtTwNYqOiAlwDo+SxYxQUmMAropi6wUUpYDUJF5j6IV1R8M80ESzG3 lCO1KAEI0D9c48xhl2lkr4HRMCrtApB++yImaCT9C7yjuba9kIhblni8JjBKdw4Vm2nTkNhNehbw Q7Bhat6sgxyGGwddlTZh7sM3kKFcDnKqNVC6/k+5S0VpEGlfgMPdtiE2qIm3an1cAdXDfGU23ES+ fjyLEpzEPqTNFfJK53w1q03WRpsIb63RYUBmN9/xQrjGezMJtxCpzCAyWFYXN1tCLO/MBPq5OCyx EHdgkYuMDONkVZDbzcEeyHOV0u6iZpg0KCFNU8Eoj5LFXIFj8TWVYF5RS6T3aHgyEZsUgngdPOZs zgvcG8BkB6HVb5juZSiZZ8GsUOc7rQ6axMqWZfGnpcrzxKXcPYBLCJgf2mIRzOFHm70Hbz8MwYbl HPiz6FkNKTZUjelfK77iuoEcy1WPZjueklYo89tASLbvWUucQrNvjirHq76zsQa5sWqtoTzKvgER HeQ9JuUm8J1Z74Thrdy00MMGGnL21v0NsoGenbvmRNee0dYtu8ZQlB6XkeJ3g8nS2zJj05rpqlJE Mo6wnLZd1vdNaWXV1T8H2Tz3OtR2yWAnf3iTL0yYvSRfZVyHC8/vh4w3Ka1tp9w1NSVY2z+00pmH 7AxLNKCuYQRrKHkSYM91cHuXiHWii9Bl4QXWrTv+aCxJCvqU/fv/qpu/df1FMvFRk6k870/2Erex 4Y01FlNcIG3dXbVqo3TRwFMIJG+hLI1eymVP/0QPL0ZIM2XgBioyoiIw2ZrHM1FzBThSCgHq2vSo zT6TSVU3njudyolgp0N+v0nhL8qpoXpKsuaO3FqIuO8Ues6wUNNVCuPzmmbFBiaDquSMa5r35HUU FTHfwKY5wjssCk8Z0aF0vEcg8QaOBeG3iYFGrUL9VA9qjxHrpUkqAjJW6WEVT5vkHE6sOoiviIpU XwPAr75TRtuKWiBRVMs3Qb7B6uygnHjtYsDwcu3Tkdc+jRbB2h0Ne6GXgkhBAy1BkAzrUV/q5Fp2 kVeZMXORddIchda1ttY2bGbwmsbBr7/qtBBy5GK4CPkiSPnoMeUl0lDf8QHTNmYJV6Ya6yNDiQNi xTMk0J856FSJ7gEhsFJBO7TdlWZBilo2x36prSWkes2mn4TW0dLqAu42UDBEKqdKpm6IO8Ub2Gfc aVgThr7kQWFFgDwZyvvR7tbGvFVJeCMFkAgSgfXMUxAxL9PoSPrYp6/lMUqcrPQAQp7xNeWRNnR2 P1LavmwhdmhS0/Am1Q24nnDFvPTC6dl2vAWLMPWIeFDbqUgbR1t6gxchV7uY2wO5YRv9GxiqLchP dAmvkjmDPp5QlYT3HbLosw2+h9K+Y++OfLSbrXW1RlpbWplM/bGsnVQ73NmLe8nVieDqlTHgcZRv izG4P5xkq3xBiGf4rQExrshO1g/4ucoos4THGVEUw5vL/rmBG05lg1fgkmWP592G9Uzlp24on9ew Jwk87eKOOo/xL3e5t88zEEw4ldUJ1XtaU4zAepM1Ucl8aNUUrLMQ58qfqNBSK5I019oK5ilXOLW8 0u2esDKSL/Fp0+q5xaZZjfT1255wpT8gZ9qEw6rF0TUwGN4pTNAA/QT9Xnx+RrSU760Ib7cHsfYY nzpthA3BLK/OTeyNUJ9/9vJoGo3NS2Jcrf21lVFhPZUmkQkmtyYVG5t77DeCKbq1FFFzG7LnzWF+ gbnEa+HOhmas15DVeTQjEWcC1s9mStfS4shxDF1h+X1PS9bSUzM3v9li3TZ/dpD4Buo7y93f0Fbp 15p8zhiUrUoJm5Kt7KZVwi59f43+2c2iz1ORB73KGrq5XLs+715ms2SrZjQ9nTYlY9pBvZxoYspe mjRr4E5cgzkQRNsiFuskGdCm/qOMNqz1Lb35x36dB17P8xjw2rbyy+fbVv8SopAuBxA6u+x0fx6f Dd4O601VrsK2JoDI9SpWbzirdZVEVz9k98+6GjpCRkf0fVQspDt0FeR32BlyDJWHdERvTXGOuuL1 5AuTDuQJonGEniUp8lNnGerXetublvCqr3k799vrgBNcB0LoeVJNPQfZx8IuRyXxMr0M4AHVpXFw YLGhnDuEtBcRX7RKansvl2d3UZmJxPRoUC1fC731xFJMRcBRSMTHaSybwhl4M7iid/aZUFP0qKW+ 0DSvnvpK0S7N/qhz2e82X9jwJZ0cvBj0PvgcHp2z0z4/mUbAdZ2UoSWjFrHhrON25lJKv8w2amLl IW6i+nQRSuXr9Laf6rkaFl8KxmHdOznKaSEbsAf9qfWsjrKTr7+Njb19f3XG33H/D1kft6ncPhYL kbCT9ndU/7DYZ0sOD0O2CGgjyAQ3LMQx1W2x2KTpyHIxC7L5akn1abkv4qT9PYsKtlzlVGFpM3oB sTpMDdyEuOlE07AYiXB3FB6ip3PWcv8LNQFdCYAntQMDX41MJXLiTVMSKabsglgd2cb6TrjiCFNu zkGK3a++kjxAY7jjBre74mYeTQY7IZZRUWiG3V7iZptcktX7baCLIwFU05IZEhSdoKdT7IItgzte 9X+V0/l4gpoI+IMyQ0iUwrrq0j3P1lmk9gJFCXQswjq8Gh581QDLVklSvseZRlPgBqF7fFFfOVKg fcin2vKjD2A5PVPleJlzbkQ4dcA2GO+AbucpTMvGQfug+fHVyacm+5F9PGmx7z8Zc1m5PYYqSC3H TEEteV3fGbsJVTso+qUZzqvN1tXrUauQXZqcfd8De8jek6KigNZRiG+1ztksesAz5XMuZ+WC0/na cSLWY2MTwza/B88yE7kWfVUUTtFRgT6jee09FFjpP/hjePBHM99Gii05OWUnx0fOk5KSQfYr9u2f T+DvD5b9qWTkvg1kbb1RViPA+n7quH8VLy2zdZdb/TayM/0mOiAzLIIimio61Tt13QShXtkbHkL6 BXSw5F1cj7u961Fv8B9cvnqvR/g5urnFDzoH32Kf73W91lP5AjXmfU/DXq9ds4FbTIGYUa15+M56 J7cVuJEu6JjNe8ZN8fz8w0+SwMaTbptEJL9smBysekFhQ9F3ffPPzf/T57eqZZh4a5jYxLjt0NTk r8ZSgroJCpNunZbdqIeGNyB7WiM/dx7WHhT3VJ0bPOCi5oC3q0P2zpDaqIfY1Fq+fGWV01ZaZqDS gjfn+H8hpItomqOfk4GbERS8tvUSqNBOPlgbzY3PKGG1Jk4C3GeHZMl7kM26ZNQrIuaxmHBn82Zd KkY3VV76F0r3vwXLmzeavijr9NTznwrU5IKXGvHS+JttX8j3Z45Wab3ciFcskjm63S7eOkrwHDyy 3SD635zoFr6xT93oC1zAGB/Hj6BzwXS6ykD4Lbl3shw63FdJg1f4CKA8E5FBYxD2woCmIibpT/Eo Er2pZ5WyMAJ3BmlMHhksX8JDyEcb3cnySNMyKNB/REsBUQxLV1kq5F5FEAQ0CBGrcEdckkEWRRbN cdssw8gW9/uC+Np1YOg1/ucXEKkUTfYT++Fv7b+9UpLG714Z+ppERQr5nI7Mgws5AdGw4+Pj1vG3 3y6Zco35v1ZBITIfujHdg/AX9MOpl7QLAFbhYhXSjrANqPQiKWNM2kzvIZ/CcggyVG8woY1EdQqB 3P9J+8hpUzppGd6KeTJHt9jd+Ex49VsS8VR9fsMaIAEQQPuI/f+0IKGcnA8OaSC3IFPf0MJAE3OU BaXGAc8ZwescsKiOAmgKCXxEgg60LYaUdzCrNtQGCXiQClIOwwZDAFBLAwQUAAAACADXOTg1rUvI Fvs2AADU8wAADQAAAG1haW53aW5kb3cucHnUPH932zaS/+e9fAec0rxQPYW1s910m1fvnmwpiRrb 8llKc71cHx8kQhJritQRlGXtdb/7zQwAAiAp29ndu9vTayMRBAaD+T3AwM/YWb7ZF8lyVbLgrMte HR0d9/DfV/Tv7+jfb+nf37PZno2yUtzyMskz9m49e//0yTPW35arvJBv8PePPHs5TpNbUbBPfJnB 1w+/8uxfkmpUGIs/YsdTUWQrXsTsvSj+nC/ZD7NVS6+3Bc9u2Ic8L9Y8y9gPC3wOb/RzcwCOma4S yTZFviz4msHPRSEEk/mi3PFCsG0WA1LlSrB3V+cs+OPJ7asujroWPKbmRZIKdja++nl0+Y7N83WS LdkuKVcAdzvjGVvkBYtFyZNUhk+fPH3S6XSePpnCwDVPMuiZxflOtz59EkVACQn4RRE7YZ2vrsVt go9v2Kvvjo7YVx2c+qtJvi3m4iv6PYrfECQFKNzsVU8g/+uXR9+/PP4DO/72zavv3hy9+ncWb5AA 7CucKVlv8qJkuax+zoGvzpvdnfOg1oINiyJfm6Xpl5HXGl7ksUjDtZCSL4U0naaj6fkwOnvfv3w3 HPTYef/n4XV0dT3+cXg2HY0v7Zv/ePqE4eeif9X6Http9CTqDwa1luvhxfin4aCGqEZJAkooh2a9 heCliMR6U+4j/a5tWMr3IAF60Dk+9Ng1l6Uo6KFtyCaX5TKR8cwMu4KGd6PJZMU3YlLmheixFZeR 7hfJ7Qa7aVC7uzBNZmGc8DRfVgS82KZlsknF2SpP5mJALx0O3SZiVz2UIML2gc9Sga97LIlFViaL vdc5FUuRxXrutci21Yzwu6LkPAfRuSvNuzP1WL1cg37F5mUhYFFlse9BN3rRY9M8T/VDNZMvIEoi JsNzYDhydfK+fzWcOA0/jYafoqvxZITy4MvJ9fDqvH9Go876Vsz0THyWbyvE+/hQl4+PozDO5zem zwB+gyVZi0avX/Okkp8f4bdhQx3YTDGvAnhK4HrwQ40AyqzyXIrB6RS5Y8BU9JOk4TX108Jl31bv wXr9GlcSUUNmnnKQ7UVihfisaml0LkiwSeQB6EYUZWJZ5Ej9VfXyQZXxdMXvfQ5iTuit+WZTw++C mnAEQYssOpHRjBO3Z9A93DPkcRw4ePTal/IQBD3Wkq+L6NEC2AXY4E9kg4NKfLpv8D0K6TM2ydfC yny54mCAwITOwNVsZ3JeJDMRf7PN7AOLk0LMy3QPnYt8u1wZSOh0YMlnPLvlElVPMBDKBZ+XjGib Q4eC5bNfYbQMlXuD/zi4iQ0rcwOGnlYggw5WOQHPAHXJ8gU9JJkseTYX7JYXCcoqIi/2BgrMuuUp IEl44Px6RhADsVR+PyEBSgXYlhLWBcgChIouZsEMDYhHgLUA/GKpemp4Io4qdE/Yf/lG4w3rzIkq nZ42Dq2fmmV55CjXztghf7EcvlDoWkyRnlKxp05DJJLwaWTANEnFomgJAURZFhAVKKKETaKoyYEm nQm0zksS1s7jFqeHkHuSXzZGxH/FRCL+oqk8Imvmk6gjcdR4pVFrvgfj+Z9b0ByQdyB6uZVsxgu2 3cRAptBAQeKrpkh1irCToiGEZGnq66VWDEdVNKQGDFc4g5rDOhjy3Cd15vPoaOixwPyAqWsoHIsF iFuSJWUUBVKkix7bQBiclT02gunKpEzBjYHBTZM5SS4EFSCqBdiBvGibHEGBCTWEAbpc5hmAkMmf 8QFinQn8Cl5CEvHyuIsW04yszGj4MEIAZiAWHEIkiLQShRfOUK0LPzg6dFCH6Z0n2682QnEXBeRE NZxR4Dih5lNeBK+6IFKnnxj4vmQhEqX3/FYwOxIE1Og+C2SupDWpXMAaRyYgaJAwlRApyS5ZQ7nK d6zc5a4kz/I7IQ9hGE5EqfD6lMTlSgafka7H3/3+F0ARMOzHsYB84eUxCDLPJNuCSIP1ZvwW0hNC Tm442CnMWRZJIcGjJCKNCRmAokctkjsRqxwHnAS2b6AldbBKFnW+v/FFg9CukJ1CJBnUBmiavmSa r+SdFE4ONYKjbo0WG83/t4T4CTuuvTchcIQxsJbGhpCQuCWxDDz5eaZSBrI6GCcjApUZwhwsoug5 Fmg2Nr5MmQVjTI0yQ8+zbZLGNAhtR1CB6NamnSRrYE+RQkCtkhaaEQWlQoHG6pbarKafll41qW4M 3HGa5EYYvYWjlEDKm6LWAiPW/AYNZCGUJBt0JCqUADlsRyHUEILGTP56z+wiMUpRFt520Bb/hHKe sAqFtHUAK1LvGlZBRtDIKppCEUH2HQvMVOqyVU1cx8h568xVS3kVJdBeRfMVz5biAHwHgp/bUB8g SFSITQpqGmsyklY/BMpLjDQsCWy1yLQCs7/QJmDXTKQYlxCAw/6vTd8bOGlwvQPAmsYbFcjG2Q7Q 1q79bZlDcAL5XjAtti2+gNRcB/hBCwgwv+eUHLe8PAUcAnA7w5+m0dn5eDLUqxhnZykE1dUAS1Sw ZbA2zPKxHR2ty0tajev+nsWJJJOcgXX8ZlNACp9vpVIz22s0iK7glVFuiBPBbgUdbBvelSDVpNyd rjfiEhP52ghsOzBC2VWAGA0zxAjN6lueSlHrgog2u9jleuKmtZXa3GX/HyxNy6WgLqMsFne2wzrJ qMX3JGt+Z1pTkQVNKNKZA5zhgWnYDyfVBG0Kcz/NweO2utXaKBT9RyFzclKtqw1sO3cfQqY2yiLj 6QWoGHLeioq1EUpMKkvxNS+W0pWXTqfjpJBssc3mFNuBk+ImXDfDQ1eLRwtrziDbzYTJeG3+VgXz 5P7wHbi3It9AIFc6a1ep9gvp5LI6S2NjzMV3CYRZcc4yyMyTbBl6yHusqdvXZtJbo7GaGgirE0Sj Ve2DP2v4v3TboLQZZkXue9kM1MhK1pkWe9z5xtC3ogI8YEJPe5tATrO657LDnpsnl+sfbfb/GL47 3V3Oqz2//23eu8j8/+J+WexrcC3s0GXJQanAj7ibiw2eGoRX+4Hg8ZjGD4siL1qgqxRc47/juDu1 u1NDKNlYYVMKYWC8h/xIZG0QIM4ui3wvgNDv841YbHEbCnIqHOvtIyEDk1K2wah6FXY+m54BW8cf kDM7l4NtcIDPotm+4VL6iXW1j6NZhQ81qQbZxNZ7BFPt9BSi3BaZ3vegNlfCregVHP/tA8hkti0F ceQeIVRzt0ggzVpjpcbBiN8DYkgQPmOPX7p66RZcG5qB7mMpWCVm9WgJCacSSMpQcOMylt7alNvb Frh3ACBAa14fHR3V3ieYGUW4AYo7aX+pvcV2fE+jG2/FLTr+aJZvM/PeIq5jEUWZTO8NO8hfG24K UAQV30pYAkXdtMulT1hwqPrXM2g6Y+IQLO5IbBISG8jPEpm9KKlpL0qPIKOBCZTsujBmCgg9Tyig K4gjpso1AbAwLGX9Hk2y11v+2Y2sqiEWp8/48xcYOBq09LMc+zwaYK+Mzm1MHy2ho4HLjBnQN9IU jRTbjL8x51WjQY1BGO+r3XExR4Na7JkaWbFomcBzxSj8fzSoaxeYkKawhHgUeCP2gT8pftRuv55o xeEbmIkGkSkxA5620MTNTS6Glx9Nlpvd5jciqtaYxCejQc2MoxtS78ORHOyBmMk8qGPVOtHHq0F/ Oow+jvx0zpB5m9gJHU74OyCKCfiImyh1DmBfomthlYV2XPyNmNoejMcCM5PaeTSbMV52h+xMSrFG I2gwCbGhbvyU1Ve2Bl+z9VaW5GwgBLigc1S9709HJmtY3K2oeSGDT9jfbDDPJMpZogQIGGwlfqmt Aw9VTQcDpJ2w9xNV2x10v4QyjisPE7MC41F1d0f9KpoGjlClXJbVNptpfDSNcSOR+rVaH/w8w41+ seEFL8GvsXEGQQCPY8cIKhQIDEYaqIK8DU4FpfkSACkgavgBVPCjSKHZOTEQg5qWiRQXJo18EJt7 JDNtqkZL3M7WdBxff+lNSMQHJlyK3SgOPMHRWlmXrQZijfgeP8+UbM+UtJN7hLiEG1NxwDoAG5Rq 626BwlVhVZtYiwm+aci3GtaUbrOHqQRcPz3acGD1jdkaVcUzJnMwrd5GroWIkSvyFQIaUeAe/Rag 0/mlPejTURuplDofnmEJgmOs9TgUJyytQGw0j+Wh6Ky2kat8PhZWoA0Drk9Po98NTj9Op+PLSW0H WQq1SUunLho52kl6Ac6wXPONDEGqS3BuAjPyHIn+bvqhh2i7cOCFDk4ggEshoNsuVxhzx7mgOGOX FzfsVoBz3AmVNhUiZCN0eqDcLiSKW3PU1uPXd8evWQJUgBgcDCosCyN5mzfmpkzKpcwz9klg3cOM z7AzURMxwBqxXaLtslqbWjWh0iAm7hMSCaknHUWZI6lXWMX2bfegc3AE7q+0XQaHfnyfqTigkSBU WzxbxiwFzzoLP7k0n0oT9WSVMurnShsbaledJli9a2i09S2tUS0szIte6cyIzAf9o+sNyHmQFavl 6NRJk69HVt219Qe0JPHH1Wj3kHVuIbdB/qSqawp1JVM9UsaPDaAe8BY2dNa5QQsw/DgYB3jiacKz KVp1tPGm4b1IN3SS1n3gENgGeGcrMb8xi6n7Avwon9ESLruB8qMEVm0TRUHnY3aT5TsbKD+XnS57 rsN2X9TqIusZ+r9B4IwhNfr39xC7Z6yvFJIMG+0Z6Vk0Lsq48VTmSuCxWbXLvGEYacNBmbNbQpvr hRH5oTWLU9yz8Pcd7hf9h6zNP57oa/N9UhXEhe9EqSz1tW4xghiOwH88KPmHPmDyT0dTPG2b/nw1 jP7t6qIFG4d+6DFIGRWGj5gVHFRRooZOyFDDmr5YbfGTyGm+XKbCGf8PrcW6TLRtu8bZ8TC1pXo/ EJ0st6JEWWtschKQLFMz7QCzD9p5uRO7NR86DHZaIAKg0l80pYSmv9/kpszaABHx3NXo/aLafgTt pVBfFNuRzxpHVQ8oypfpnpGG4Z2Yb0u1fR4aIrgTH9zBb2Eq6OnzmPjqLcMlUCPLP0SjZ/qcoDGg 06sT7rM32y8WhpETEwCb5bk9DhLt/kl81jxsxqTIsM7k1tXEiWkLNKJ1naIZ1WFYUAG4bwOG7Iyq BVI7R2ZSbDHdSP1FXE3aGi1+WgnM8ueqL9kyd5X6rDnGnIcq9NCDtcGhpME92TD+FEJ/zGcKQYkV nxOa9aTHwlnTBZKULlHkTOBurzT5Os2BZ+V7qQGpmtI2OJgBpBBk53PaUaSSyXfXw/705fCaqEQW AyuWAHxZy2csGIqiKRcDlAqqcBFstxK4TAUikSYxocRCyFY4O44FXHhYAElRcPpe3Yw5fnX0unso NjdVEUR2YjiKW6voYK6CAm84P9hn+llx/j5R8p3Egd0LNQ11DQ6Jl6f+19tMV2Se5ncmPlPbDdi5 xxYpp0Jt8LDjD+w3/B6djS+j0eXb8fVFH4sZ635hi4K6zmOeVmd4s/xOhXJ2n1WBp7mIzzSRBcT9 bB8CiG3qb3/H6dLsWNEkqgbfrMFC12voeiPDM4FVj+PsimoRXROkpgLQ2A1LSC5wKUFt/EAdXvkD CV01vnHoYcpUWjxp7eBDXz2gGBFCjVqUOtV7H3rLA3/i5gPmkHEyxxLazQYDFLSRVHOXb9zjt2eg JdlLxR1TGq9qmXVNPga5G1T7jIJtsi14xrfyoQCi+xfQVdWzmd2ZdX6LlYVoq6oOWE1Tr26yFwD8 UxZMGmKXj7iKnsbNpZopgzBLMDvw9ZQCP+pkCsSyTNb6XAp8Ja5ZiYw+k3muquz1ISJSrYqIuu3o Vwcb9uqGWYhqiRDKgTMjLS2HV+GCU5RtksYFGIu0Bbv6GRZidD+cNsScUyULrlHvpQG2HfW/55Tw 6NBwts3mVHvq36d4oPrbOy9Tx09kzROp8ympglGyxy/860b2RpGBUE3Npdrrgm8J9rOwZkvqm0eq 4kmaan7QMAtmt0pgKYg5XyyEUhRyOqgQWP6LV3sEFTYo3dqCNngJ69QrTDdgyI9irKQndaihWxZ5 muY7uq3IsQDAQqRYoXX5zjSAisRUlOtjsXWOxcSuk66uhugJdfWkMjyolHKTcuVO9WmgAmIhzPO8 iJMMeEdkBqFJMl0k7TBK89IUfpvqi1pSX+rTULBf1XSmVpiqVlaIFMVHjuNXY5w1wRismAK5rkKP yjFhrorkULefPMa5e+Rm4bZERV9QK0NWC6wcruGtBAtjJuZ4sYTuLtalQfNdmonsPRJXJSRV66wc aktQb0ORiGB4d03wU/MlI3NVRZXTQ/wk3uC2rKqVMPGS2cLA3ELJuwvD0GBH+pMhDT4Rb5nEmzB7 W3+j+e0Obmc9MYFiSV5qc4Turdxu0JsnuuDEhXOvsBO4najWYfgH/HJhWM6ZGR4AuzPHhx45SI2w hCUVi9LVG9p51oB9weHawrhwzNYq3+AFDW1m5hxg74SWcnzvCKm7GBcSWQOaQEkMCJYic4/dCLGh Izx1Nq4Kwb+ArsaGoFUXdGqglo/OCuB662kaEFWko66jAcVwh1QdPeQLUNGequPBo5rSE7iS34hM aQTdwdPkBoLNwChy6XJVZ5uu1IOGVDUMKnKvCaEb0oEQYv/DaaSZIHh+fBQeHy17TP/oYoncJq/l PDStf22CIlVq924+tFdztyT/SHt9XTPzlnXBN0E3pMtdsjVhmGFUfqIGQ7/yPM+Wp1iVkOD3Xf0g Az9ADxx1IPtAiYcMLS/LfN1j9CcGcLcXNwBxVPsgXVQRvDz+wxHW05LawDc+8rajSfdjBqk/Z/Do Ud/TIMQMvr5//Ai1NDXoUAqGHy0VEGWqrFAz6MVz8HZojDYJqC93lJd17p+fPh1l84mj31xVY8Mw pEBV8ZFSnsPAZmDTb1x/gx+Smob3IMnUYggaKzJ1lCeAQ7d+2WdzqE3C6qW+5hyzullFtCp1yZ7J JiBCaESXLtane5wYrxU5gZKkGIBMg7r1dGROSq3fdGzDGGxNkcTCNYk4NhZFglkMHfuqFIryIZ0S OX4nTiBWo0BEzefNVj+XeAt6ChOVeZGAR0TfKjGy8CZXxaowd4OiFg5EDpyufZX6NlVFAHIt6Q53 XURi4p9GrGQh6bInikHM+SMDI7czF9vMuba6kFwPmB1SYtBSu3wJc1JWxVXt2iYH4h0ORC4p8qAo zyOHgQI+T5+3b0QBroLolt0o/+kCouu6Mz6/2fEipsvV4D6SWZImsMY10HxbCFXxpZUP/HRy4/m8 avdJ+dy8RUychRyw6F6iNAbPNi6uMQ0d1DMvk9xGJG46eYKvr292NdVxJBc9JSxBJbZcQ6gHzKbd xregw3mpqw/pxL/KdsVdIpWIOw6LwMdeTKvqExXcXr1gwluIBYNSrdQaIxkpCnUxugpwQMBSnB0N YxXxHhIVvSTn9MlNaL0UleY2WB04UqvAubh73HH50WI1nQ0Lb6uibRraTDI3mcyrFo+ue5O8+Jv1 eCk1MpfuzJ88MZWPPItuBVAVnGCzItm1BObPqGDURKWIBiJwVKqwEgyMU0VVpVP6WmyimYW345HE mLMLWaKsOIdCoJmU4+QLC4mkUNE80DZqdzcaROMPPfXjrH95NjxH4abHy3E31MlfQwbA3OEBa7HN bJ0RDWnJHC11bOEPRp7ACxZoT9J1sUuyeYpVbRYQRxhzkeIOdInnUHmlFaBV9xQzKDlxzqs0/cNP XF5oyjfiM2fb9efhBBblbL3+68fhBONxfwRuFutFtkQmBp76JliK1H7Xau+TkPY3hyGaGd4lZedL zmj1PttBiQsfE/eYT4cNcrbPt8D5rHSE8U9fhFJ9Mxg/JMNq5URyECOgegsZlbWHaaszx3s1uSKn gnk5dozroc3iS7GbOIrdtunZbga67J/MRIq1jROvxrlpaWZq+1NKQbfhxP5nEKs28t8mqe8gQXzI 1+l5H8PnxiqvIH0MOhBLchgOyvkwiI7+61h6VoZoseDrsKTm7m/m1yNA4anJ1fCyKW61swUrd+MP h8TOXZTLDAT1TpS0zi+unyDIYEKjeBaRaYxaHVjVtSY/DnF7zEOk7gH9IxMrVi1za+ZXllr2TOzp bXeT1Ji/x2QFZnCKtQOZzquuKiDIfQfkQTqZqRqqiksAi6jn8xbhWoRDutHmAfBPz6nag5P2M2rf 2vTlA/amySLfVLVi3G+eSd2rkTi00o2+fEgp/0aF/DspI9aE9n8a/oYK+dPw+tP1aDrEv8dycTX1 t3ser5gHuQp68VYzNrhPJx7i1v19feU7NM9BvUNX3uA7zULX3wO6Huw7AHUx/lB9iB86tHsCJ0bV J9X/3d6z9rZxJPk9QP7DHIVYYqIwsncPOPjOd9CDsrUrRTqJdpzVCbwhOZLmluIQHNK2Fvnx2/Xq 13TPDPXwboAbBLE4011d1Y/qqurqqnT2Qf32PWv8zTi4bRAEql67KjaSw6OPJ/3XaH4VZ+9RtlyS SLvMyVavrxzO+UjBh/L5yyacYWBnUuvojiB2TBBG7dhP1yjEvh382Ydzn9niIjyPCs0AD9Zgu1/w xmcYpKMrwWNC9oRGu4o0MIrcOyv8lE6VNhC0OEYOzuGxKagrEpzMGFZiLs7M6bwyp7WPBpaDEl4B 7pol+eTa3eJqnIf5bHKOnknZIptAd211KP6iHZXAUTsjlmPW8nDRqiHa6vYsKsh469Aon+JeeHB8 ZY6MRnw0anwFOhSiVCrb57y2ydhulJwVmScNFlkWdF9gsxdzaIhdaYxxePwPK8+oS2P7riOUdjQm 9sXrMLghFogNR8QAIIVbq//QSM8i80Oefebp5HPebd8jAB4q9Hy2AFqL3pzX2AKsquBhTQ5Qc/Pr 8DCN9Uk6DljIFzPY1e4Ade2ZLmhuJDWxU2RqTUlSO0WuG3aPEcS5aFIQh66bY4CpehOZWQxoSIDK 55peLXynIvPR7xZLBpO1qqkIz6+4f5NV6AkmoYtny5kYHk/Tl4+Yk/7QOhNTYISmJ4bQNZRhmNmI YGx9cz618hYzTRwoyW2UltlJOlPbOkgNlfZkyk5Gd7rQc81W8tQPbAd2Id0iR8R1bKU+qzSe2U/D Lrs+5SEbqRpPPCFbU6mhczoM2LBI7opFloBgjcHBn1vFgeYhmia2BbpNeTvvqon7Q9L5DX/8+/e9 i3dnv3WSH5rg7E6nqCEhmO8NkO+b1SOwUxCPOnl/PDg6O+57c6e1YiRaLbA+Sy8p/blEQQpZA8ZD O64XkBzJT/RNUpQ98AfoKSknx5NGeQELCTUugdLtXu5cVQG1muXwgC8eHqkCGapW711aymF6AL9g DBZ44MRPXy4ILg6y5sgMMARU4XGMlqPTWFgWeMjXgk6cx3KrckRbYhY550bkKuZeuIxFwWHXsCup ekqrg5AV84wd1UBlh7PvXqf7XR114Ssr8BA1bwibLbkPDT0bgAMPDJjmBFg7UpDdD8xoRzCAZwNK f87Aq1UxLziLTxkzOBee8Ukquuxc554vTRUWSL8Yw5kOwvxLMf5jT9nDHDSFQcFx9CKkBWacYzMI DEV0r1J9aUXcfhBvxXwD4DYE7T6epSad1mztsYzM5WN+dz8Ja2rFltqzpDA7klVkj6S4yIeXZSPD WZfZxBnNEc6NtdhNPatJvotSFWY0rXhGW37xVLxiLT6xHo9o4g+h7qtjEAd7YebA13qFfvA4kEgN ExaBHQlfNNS6PdNnPYFsDBH93RFKH8gYJqNxMZspiXWEuTkgMM5wXExXd+rdTVbw34ZtIFbt1qhw E9XFWwzewVOeDSCZvYzHxQIyDWCqnsW1xH/G02zu32R5Pw9MMCObkOUaBJGDPZPkZMsntNWydB/d Naod000PAKQ69i5TnWbAma4OzO7WIgPxuCBvw5wPeLeN7qfh3RZgMbnc2GEnbGptHXaHaNEy0Ivg wWzPDDMGnAUG2Al0SeD5LjGTzP9GmrY/+aI7lVus/V7VyHbbsNx6zteCf53jDZswA5OpRI1w4DN8 adOSX4sfbs2lU6/XenazQrtBSg1zHV5hu4plPOFcDbI/U6x6iOi3zCr3K2aFQV9XZGMLHgZVrinw R7T3k++j8d2bwCnrXT5TSqB1GYPvMfk9a91jNTdkObJUzLHmycYkZgbveZ3vz0y7a+wxw9KDYlBU zfXPOI9OBE9quTqV0FLy9ae3abWK0nHxOaZPPCNKVqsBlKgL99DP+x80ftx4FTm3xRpmUMME2qz6 bZnbbsy3qBVWH65Z6WRc5gqsW6A3o8+8LDWYValpQkbtNm3xKUHcWQMrLL8ublasuNDs2aaZ14Bk 8HQkgt9je43y+0iiBx3sLJkWsxtF+CjjUGMG3gYehoMDNkbZVfCnkHoMjppgY5iqzQB0GIgw1rPp fJdPnpsx0dRX6s0HNQ4gile9GzBXwFfGwklqYM7EEA0sg27rD0So0hpgRS/ljXvAfLAiHSkubOxb 57aERDqCm17mNEfLGtrnvAT7Cc1ekL0j7OThfSzRpjFuMX7dTjpGg+n4bggK96G0RoSCOF3M4dZZ 8r8oOOu7NBKhy4VQfbirjdrUXMW6+iM3sMC8pN9WjkwAb0kEqLMfQcbP3iTL5vDHlgaz75QLgtKz wy27j9rUVhj7CHyus0YrW1VivMo4D2hn1KqBBuiLyM0Tl3mkLYm6lURsBRFZuydMpMgDpioz1/Wn a0UaAcY04IgzFcLMj7NFRte5EywMDgwc6dGEoGb/fxoVU/VoRrcojXUJMLYDIWwnIwx6lS/FCqUU V+c+D8OAS53mmjYHkWEygyH07XrcW7cY4zWxU602R99/OAPx+INRNttyFHhEVbbfkS4uq9vmDr2g PUjOerEeJjLqJD+gHSifbJGO7tVY6/gXnqYjYAeoTjtLd0gR58qZbxOfsx7FZ2mtIaTXEnFsPVZr PTw0MesF9km7M2Z4ajwi4ImYjP1jaP87vTE3eV8nh5zlwlvl+xC26EK8FypLXXJ03GaJCGhsKt+u l8EFgF2olGZ6gVYjkKp86Wj2KVss4yiHWwzVijfpdqNhiVhwdzpt2ahbvg2FGkH8WJW7eTx0sdeE mO1JZAITgdWv8/PpIPm1P0iOTs6O+yf9nwf9g/+Z4aXQcp6N82tMvkIMq+ySXZDuH16r3QgvLcJt e7rkXoo4H8Z57/7tIp2ryi3Q3rtPbqgwB+/rVEHu3Z+r/6ezm8AeVIVIyIH7oa5l9UoV9n6+GK8J mKrUQj0rpvc38YVkgb3QYLlOBe6G7yVUbVaJKpbsJo2aksLb79L50Ih+z3evcT1fHpN9ugdUtGXy iqErqIkhXPN0MOnq8LZ3jrctPGV71ry2+w+uw9qxqBcVqmOGn+xRM7syfupW8PrdDSPty4GBdDdn +vm1B7M/yZcmxXdgQJ1oJyBHYnhediok4ZdcRcGEgRHLIdi7zpiac2whGwrIv668jOFIdFRfsH0A M6ZALGx4twE4dWV0HZTbTkgphV/hgE5muHSIDIrptlApmgdMys2iWMHMwkCFMY3CvWUOBFoJ5XnM 3CMBY/6HWV/qymW4tigmBkT06EL1MChPuYkhpccVCxgQcNBZf3mcNE8RzEOp4iHamdur8OjFygDi OkSFc3ADdZwDHj3EbrAAe0VJmABvIPHf6tL5U5HPwrqjO+cahMcWahOdwkN7jDTNN8Vb4B2fdqJR CPFpPuoktlK9XdVUTwgLsaqKi67XXe9n//fVOqxY5DdDOX8nNuuoiKfqu/3CrQ3rQQMI6CUMMFta IEwFV2w0SVJ9mnMr3xEVIf9uXwPGAmy79NKtWlbNcBtqgV5glmzQ/7EINKvDuZKDv/Hrv4VIHBB/ 4CbNXb9wvejoNo6/6mXoAhd41t6WXYiUxkNDggTGOPGP+VoQJjc/3v319P1geNw/HHhDSfhy/9JV IIK/jU3rmNZVBHrYZvhTw7WiQA1/V47fA8CSMDj8+4jd/j0l0ZowgUEPXU2R8bePLmAnCTDxmuEM 3MeSG7x6UB1znE+GM3eBGZxKFE+bhlqXR9w7W3G6Cp9b23f8YO/Q+HxPRtfG61v9aHQa3wDz98UH A2FcfjIQ1A+AkDTh8Ei/c5d1PrWDZs2tw4gPFlvuYnsQ7tFkD6tx2P5KvpPtp5o8T+w2iWhpKzXe nKu3ybXySPaWoLmMaq9BbKesG6n3s0WGMbrG2QQBeXnCp5i16nJraZScZZeESwwxiFWunPK9slg4 F6rQtwywuMwvd64oxRBUVmWtmsQvTlbTZT5X9NwW+bjCNs5yDuvIhIGGAYS/bu+AD4OL1+FkSjB6 betjqqU3ydYfd3a2kz/s7LRuuFze46JRS/Wgf7j7/ngwPDjaPT59O7wY/HrcT35rCUceBee8f3H0 l/5w7/T8oH/+YB4hw8Ec4gO4K8UzIoYmEbkBkVyoBvUyv7p8eYXTyJuluDMGNrtTiBMHYT9h9H8s xfjk6EF6xMFFS27xuvqVHM+YlJWlqElcHWyExD5A+RotIL3X0rnKHjq8cfbX5jX1e1tHEh14vVWE UukTLKJ/3jW0VbOI/PXRfhVtJB8/fnwtNhEagFEGbiM4u1NRXXHzCeZxRHXKHDdhjDnwGS+uk/9e ZYt78ymyht3NyF2xUEivV9BNI4JdVJWl2d/pBjzLeYF0HVgxjdNFktqgfdPjHdhP3JFwHKcXP70C CZZsXRCsOagSYUE8UfxuAmFp9XmihagjVT/ZtXpoBY8QvYFrYZaMPxBUDCBpKyU285AjRHpC0gqN 7WMv9POngGUTCTina0GBDeOYw6RCHD4OgilzoONGcdhQcveiXG4r5cmqQvuCVHkYc5c6/+ysnbpn PeZOPf//7F2eZTFciCZ1qRlmjOt7d9ci+lVAXXCauXKn8UU2LiCT2TQw9bWeZMVj1EITTkIBHDRL KqohMGt/ptQ9fz7hFEhwZsMUCkyOdoPi8KBWWuZaUqwGxdeD3AEJl4UtGIv/C0RAjwCEh3CH5ESI PlZypDv/2UhO0r8q6XO1EOc/urEFBwDpAvJTpaWJ8VgHhyMzDawTmlHG6TwUlNWyuFP8CaIi39cM xIaJw8T5Q0q6wy+ZO9hriXhVHRwFY5YccaqA/I5uUmlrVA0pUYZKKEz8QbrOcb8OjErligoVgV3j L0VxdzTDHFP+poHts13aKtb1q5+ulq3qSzkHwFna3LiUcSoeQfjw/Pq+sbZTsOuVyfkjijLDQokn GWbDIjup//8uO95IjFXX3K9E0kZkTCmHmMPVdNr/AllEamvHriEJCBRz28EhiVgg0Uf3nLAC/UKU zHYtXLAiGUa3/wUyOYsVOQaGSnkzBvwtmipiIbce8eBQxWaWDk4JIYau3rdi54gaOZ9W+flaXLsN t27k0hY6NSy65mIbEE9HVH5fRiRNy1m0chT7PF6XzYNKJ4ihYcUvrfdpOhn7fe7T+lTPnQR2kTW2 FXypJkiMq1LXs7ZOHvzbeOqYz/wDPIk3OJGNlhb2ZnLxbvesfzG86B/39wcmc4w9cY/c4OSYijIn jwHBDF9uQyqBaZaWFKVHbrk4HIXmqWS00tXdcx88UtzGf7AYK2kORebHhiBYaqsdRbE2+ZuqbiET JyF0Orsn32U3xRCa/CXvjSTfEVwhl8O8UJ+cCzaruc6tZ+EDGSEEl+0k66mGPlO2ULioocvZgFRX sJmQ7jNXehs9YMY6VSljdZu6930glLef308OjXHCePOweqNYTBTOJOw40OydYp9mCadVVcuwYwsM /tqxz6+JAkrIh+aM0BIRu4Vgg6YLacGy0wQOR+DBhp7b5VjLzOSSzzirSYdW3f+qVpinZWmvd2Qb QxFLiaA7N2Zm7ZoeHA2O+5WEcs6iwY4Ih9QEDJwvgT3pPX7HRsngvVlKotDxGDPKIcHoJCB8A4Ka uleUj/ji2YQTxeRusjPUBxCoKrPJUYZ/TDY5r549pTlfneokjQj47VJ6M666qf3IhM+AE6SBceBl lRF3tFASGkXbTQbH65xexkAhO0XU7SrXCWQczQkIkBwuUK7UXMSDjHkMJU0azZAe+igj+VzXjnGb Ux8bMOQahcSsSsoeiB53d1k64yyPqSEMHRx1UoAysyj17qzYfQ8VePrGuLblOOl5TKpRgo9xUUR2 brANyKRgO+OW7dfaYOnwodjuCIhXQJb79psN9Z+aKuDilui0eXQ7vrRdFiXgK2SG43gwGwwhgXz0 aqiv+aIBKr/kNYegCpMe3F0RahRhccKMGdJYS8rgbR574mdOek+4FSiImkizm3pGmork/QV1CYIe L1Ca77fUhMcLN9xkzwCzW1eCH7YOlAKyjKjO704YYo9Kte3kVnWITgQXERPzMV6o6+B9CpMZnLRJ SbrtOkx2JKxNpTsp+m6qnSGvve4RV3vpAZ3qXMHb2g+RYg0K9cCbLf5VK/dalMuf20Iq/FNX1+4G /bfdF/xXVw/GXfpX2FfU26HoAiBKbMH/7C3XeP+kepayAKTkU51F3GggLIho0ZDhCRcc3EosCvAL FYBjinbB/FDfR5UU9Ca/NHMvxxMp2Da4pMFEtlDoJUewCU1yiL8zvSdIq5IOZkiI3eR+2kRUIDUV TAg9a3q6T8z+GOhDvRKh1Td+j8LDPk7V9ROVnagP7bqVdvU6gx/1q0xwarPealZbZXXZme7DKwYo espVA89jVg48Zpk0ropmT9jAQjSrbhgIriCp3isLLhBbQatNvKlwXaurY/Mq0HAdVkq0p2vnT4Ad 340SyYMh9zTSCkhLhK0VJNaM0BJqsm2YO/WvpcdApHe6UIeKqXaQHYOiRfd4ISieaAhtJCIDyWEo /gHzi1s2eCmuNuS06MF+i8PddwP7uKRCNPMhFRyipaCZWNQkIJq6uTyNNVuQWAniHur33ISz9lGy 75b66A0QvdIzFjCgAK5VWHV4Mzwn7nfXBWERwgt0qAToxv5kNQpu4HA1ktiNzMtIyP6/65bD/Mrq D5I3bZuRFKMVq4eHlIUAlZbqUKs2OCl4QUfAiVVNgRFgFlXe3557kJ/zOrOUHazXn6eO97+DxM0k nQ7L1RxN/1EkBhYSbw92j3GURJ3x2yeFqXdSTLJpT02EYrUYZ71KYy4eFKmQJmUNg7JDQNDCoJNL 0Cl1FD0LUqxv5HTvXVoe7O1bLbtYzYtyqSSVWAcx0FBJUQgp4RHcaPv2G1/b6UBIDMakgybxFz9n n61saUnHZJMLSWKWlAMeb5CgQVsNGUY30Cy6BrntopcSt4QJiVXb8K514+zmJONBMYJDjWNmIbdx OyMVtmwlUqpvecjprOiGILctIS4w0COl1WVjKVzLbsZqmJadaqasF7uldIyTfKvFuIQwpGGKd9MS L91olDBJB0djZnwGmLdDoVNJ8hJCyQi04W2ykQpqRfHhn4pQJpJ0lk7vy1w2plqi+IKHd8umY98z akGCzT7bYk/AmYgwjsJFhlbGBpqmku/Byk/HU6LaeqeaHCJEkq0bhBhOCMEMkngiRv0XlM8zocSe jZ1wmM/y8hYjeIEJlq7zsXWra4xPMW4FwIaYsZk7BPNoyKLYpQ9NOBzNrgtK+8xNg6nztoAkgZ/U ngvzCVT7u2KyQjdNzUfhVDiC2J17K5/8zBbFCzvBusLwxL7k32LZZsuE83rdZCy7zK3AT4ybq1oj Ln8rirthPsMv3FXgkqGkC8TDuHd0vF8+Sh5CasCU0qSYh2rkR9VDWbIJTf2YzzYBsGjl3HwVXGW2 WWJdN06JGiuLFKTkBYy10MKuJh3/5wOpUaCr5ATn1vr0zFNnVM5SGhH2eenYf66PvQLuID4PZTVc H2d9tGYhLmdaiL1zhFZpsOFzM1nSvkObvHwKAqfgpmNTh347SJr24Om4P+qpUPrLT6QhJgi7tDHH N+ujHeI516vpdJihfw5jDp47Cb8B/I2rUYDfuEjjuhLRBcAAtzGgBH34lEUgrksDmXUiVJBC5NGC ilGUoCaKPJDV+jaRWFijVSHNtQMFRTopESHQ6NQ1GHUCvlgPoLxVWzb1UKGZdjKqxKZnhv5cWlTA HyQssDdYMyFUVG9+cEodlVhpF86lk8Ep7AU1KE5kze1hSWku3gz5OfFgkhuRbPLa8ay5sXPjLRVt jZZIOpmIyCOh37XYw+ENm5sjc7iJvcnzI9r0ArN8hBCwUm1YaFhZQdZBhnK6VFFqI63a+nxt7yn1 nvCHdo0g7ZPAGSjWQV8r/ZoCPvFpTYRjeYhTQbZKPedwdyFsadppg2SbiYe1tWV1ymAakPUtpiyy Y6Mx0ZhwbyEcI5R68biBBzcL1BQozY6dCpY3vxviQ2ACerJCpn8DBW5E0OZR0OXrB8KmeprejSap GJFeR4zTXjzTGoJsPnaevUB25DKy1jMK6647o9ptpIwrXIKS6Y9/I5Y6QHwLJDEQ0XPiCH4/CxEi 8W+c2jpifDOOWPZZcQR7BaMI9ljEEP5oiSBd3HDwE7v40+IJkVoYT4jwjXjqUN8Pw3M1exZMoUeH dLeOLGR08/cF3w0j1qava7ZQ/MWz1EUf/JeiV4oaZDRNwoadsvSCMupGyBpDcE9zhES0YcRPEyrS 0OeGAm0mkgAFqSwt6A+nNEJVjgFEfbIorGiILi/gaDNhDOrrU0alh+mU1VjCOdmdTq1ZiO/gVfMs pOrgnEViPidqfzhjqpmJfQiLGRceJP4ZW030C0d4cOP8PYcAAS3gwFqh6IrrwFDXCREQIsxiFi/M pXCHGh16bT1CrD5uJAdbBmNnulym41t9SZyl8ABJMGrXqwWegBFLJRrBTztC7rJQ/82Z1kExNxRi ppkWKtlq6fNxuY1XtJSw2zJyhesIk6cwupRJxcaY3zwC6ZHAfEK8P+lcD4z4B73N6VMNKPjBKldt 3jvecBsXU04j5XzQYVCCFfIotiHEW34bKwy01+6UFin/iULzaVdLdu7LvmTj1dLKZYXO0OzzgDHt I74oKV4RSSU+p8JXQlGYVBVUAD/N+N5LOrW++557BCroSHDB7SItlkuBRsxzKOBz4R16c5MtJVCg eMkSg3DC0vOlRw1b1wr7LHATUioQcdCuSPU8P2eDZWRe0zDbzJKHscourdCLjQzTzKDG2fxedT95 PoAPCLYNnD+1zl9s3x+KfRA+pB9ZbpiVaAnMW+kyeUSVRuh4AYU7A468pROw5il+a6KJT8oP9g5/ JH7PuTRrzoKxZbyow01jiCin7X36qhuvU1uDXRGKtBViFL4YCbGqCivtOg2CEDXNy2UdUTWWPETi nL+3YFjUcCPGrCpXUa5D01PaHBRRi3tCBFH9CPQoCAt8XagOVVgklmjjoPqnInQs+HBUUYJZfi4E RUy9QrlywTaniNBiC99Bptskq9lE8c1fOBiWQvHbb8Csi3Gf3ySXjtXVNyIG7KKeha6KtTx4HSD+ 2bEtNxSb15rK5GnToHdaHDp3bcJFn2o2FHROQmrKUn+2La0lhZYV2nSKf+hZOSh8OHjPCaUe0NW3 36i9+POX3tk0XV4XiztwvN8cDn/5eHLxy3C4yXuMzN4e3gZ1z1+6ZnI7n+mshJeH8brcMFpwbCfS aizJZqKX4UZsnJSk0DGXaWTlmIKZPbMJsBXSI5+Np6sJuQFbanSIDxn0RvdDzk7hqMSj++QFp7io YKuTX7Qw4C7Sz4rTSP4LcqpWYv6qzCzDcgs02adWb+uWZ4/xruLCp1K2il1QgM99598W8gGWRhIm BXDTcp5CtmJDEO1Vm5ubEaKg4+FGC2Xv8Lte5/VwO99KE9K673Uj0u8gbSejFBzB3BiHDcMAGI8p LYiPLmUL8XHlHCJtESXYT4HlnLOM+Ghy9hEfT0lK0hZRBt8SUzUFHEsO2nHgDR7jwXZaLhersRKA M+BCapfhPfZE/bPV+Q949Z/AXuWvADe8pLIontIKOczrAytdeo6tvsNpE4f2XEQDzplNEMJOfC13 Bs/nsqkW+uNdhbuDug6OIqnnTvBQUm8XdZVIVbc4e32PiwjE4nT1xOzhGyaD5vMf96jlsVBZsHbO HB4L82lEM4OfnC00Fra05cayjm79WCwrRwXNdBE/S8OWaK9w1Wb/BEMkduLalWPbHsi4ULsIHBXd U5s9hTMKpZ4ARx98HAxU1GqptzqcVE/D+et6oSoeRgt77TgCW1Beq2sZn43LsAwS2OcDm+pVPfCa xgPiXG3fwubL3foO/qztUSjMns9X3auutcWmGLywmI7SBbzFLZZ/m12WX9BGa36EG7xsqxS21P1a K35raH3rqXx1q6GVsiexuik4hS+Kc6QpCMpJkVpYJ0OzoOrDfDkccpgUPUfsi1u6Ys8rTcEDIBuI UU8S1ahat2UlHIQGnbwxzZgyi3SSF3ur5VLpYzkFZO38cltAfA0wxKWYEwkc8tF40zmaLdXCVUAw CVOs4JUPv/jyMsHQVuf8kyn5gwL5C1jDKSs4xC5mte6CB1I1uvVqZ/vVThfTnRxQzJWL/G+qBzzc t5OXWOZ8d3hx1t8/Ovx1uH96fCEdYnDaUAvRwQdBMEovEaVYB8yL8g3g86+AD4ZdfQNQ9oZvz0/f n3XdNl7F2njVuidNi/+2QxaruoGjS1qGN6M7mhLYnXfs5IV2UOcDM1XvQ2AsXwXH8o+gk94rTbe4 duAC8i9fPmr8rG4FZUN1LWj7lzCMEO97+erKWjYbCc/8vVwpSApe/8NgeL57cHS6934wOP2Z42uf zhB/rO80Eal7+tGtCHN620xvf9m1AvDKAHilcQD2YLXBvZt9UqzI5g75Nb2DKHC6uyn+wo53+9Pl A+Yv5lOXnVzPxc6VGlu+ESrVA1Fo1oVoLp261L36GtRB5jbEArS/jk1XTSsvH94K2H5btvLq4a2U q9FykY6XHaj3uMEyQGHtm7X77Td/B1BLAQIUABQAAAAIAOmxHjUXk/FlLwUAAFQQAAAVAAAAAAAA AAEAIAC2gQAAAABCVyBFeHRlbnNpb25zL2FyZWEucHlQSwECFAAUAAAACAC4YzE1EhFhQe8MAAAR NAAAHQAAAAAAAAABACAAtoFiBQAAQlcgRXh0ZW5zaW9ucy9CV19VdGlsaXRpZXMucHlQSwECFAAU AAAACADmUTE1bJ2u1uQKAACUMAAAHwAAAAAAAAABACAAtoGMEgAAQlcgRXh0ZW5zaW9ucy9QcmV2 TmV4dEV4dGVudC5weVBLAQIUABQAAAAIAE5CBzVqrhxEkAQAANUNAAAWAAAAAAAAAAEAIAC2ga0d AABCVyBFeHRlbnNpb25zL3J1bGVyLnB5UEsBAhQAFAAAAAgA6zk3NeYdFM+0CQAAeycAAB8AAAAA AAAAAQAgALaBcSIAAEJXIEV4dGVuc2lvbnMvc2VsZWN0QnlDaXJjbGUucHlQSwECFAAUAAAACAAI bTc1uYCtbq8TAAAPbwAAHgAAAAAAAAABACAAtoFiLAAAQlcgRXh0ZW5zaW9ucy9zZWxlY3RCeUxh eWVyLnB5UEsBAhQAFAAAAAgANjo3NfnPdeIHDAAAazQAACAAAAAAAAAAAQAgALaBTUAAAEJXIEV4 dGVuc2lvbnMvc2VsZWN0QnlQb2x5Z29uLnB5UEsBAhQAFAAAAAgAFTo3NeUIQw2UCgAAySsAACIA AAAAAAAAAQAgALaBkkwAAEJXIEV4dGVuc2lvbnMvc2VsZWN0QnlSZWN0YW5nbGUucHlQSwECFAAK AAAAAABbqTc1AAAAAAAAAAAAAAAADgAAAAAAAAAAABAA/0FmVwAAQlcgRXh0ZW5zaW9ucy9QSwEC FAAUAAAACAAJUxQ1cqWu+N0AAADRAwAAEgAAAAAAAAABACAAtoGSVwAAbmFtZWRFeHRlbnRzQlcu eHBtUEsBAhQAFAAAAAgA3WYZNYSl7PyuAAAAegMAABAAAAAAAAAAAQAgALaBn1gAAG5leHRFeHRl bnRCVy54cG1QSwECFAAUAAAACACikBo11pCCobAAAAB5AwAAEAAAAAAAAAABACAAtoF7WQAAcHJl dkV4dGVudEJXLnhwbVBLAQIUABQAAAAIAHKlBTUcz9d7sQAAADEDAAALAAAAAAAAAAEAIAC2gVla AABydWxlckJXLnhwbVBLAQIUABQAAAAIACCqBTVCCJNZ9QAAAGoDAAAUAAAAAAAAAAEAIAC2gTNb AABzZWxlY3RCeUNpcmNsZUJXLnhwbVBLAQIUABQAAAAIALJbEzXbrpwN6AAAAGMDAAATAAAAAAAA AAEAIAC2gVpcAABzZWxlY3RCeUxheWVyQlcueHBtUEsBAhQAFAAAAAgAWKkFNQuMv4DdAAAAaQMA ABUAAAAAAAAAAQAgALaBc10AAFNlbGVjdEJ5UG9seWdvbkJXLnhwbVBLAQIUABQAAAAIAOu0wzTG FSVo1QAAAGMDAAAXAAAAAAAAAAEAIAC2gYNeAABzZWxlY3RCeVJlY3RhbmdsZUJXLnhwbVBLAQIU ABQAAAAIAA+WwzQOzhIQzAAAAFADAAAKAAAAAAAAAAEAIAC2gY1fAABhcmVhQlcueHBtUEsBAhQA FAAAAAgArzk2NezmawHbGgAANnUAAAcAAAAAAAAAAQAgALaBgWAAAGxvYWQucHlQSwECFAAUAAAA CAD5jTA1ax19zDUKAACWKQAABgAAAAAAAAABACAAtoGBewAAbWFwLnB5UEsBAhQAFAAAAAgAJTo2 NU2TxxvfEQAAX0IAAAcAAAAAAAAAAQAgALaB2oUAAHNhdmUucHlQSwECFAAUAAAACADCpjU1tAJb h1kSAABPRQAACAAAAAAAAAABACAAtoHelwAAbGF5ZXIucHlQSwECFAAUAAAACADyRTg1bloN4xUU AADvQwAACwAAAAAAAAABACAAtoFdqgAAcmVuZGVyZXIucHlQSwECFAAUAAAACABhhjY10FSZ+T8J AACGJQAADAAAAAAAAAABACAAtoGbvgAAc2VsZWN0aW9uLnB5UEsBAhQAFAAAAAgAkEY4NaWECqM6 KQAABq4AAAwAAAAAAAAAAQAgALaBBMgAAHRhYmxldmlldy5weVBLAQIUABQAAAAIAM5GODXEFvBz bhIAANpFAAAHAAAAAAAAAAEAIAC2gWjxAAB2aWV3LnB5UEsBAhQAFAAAAAgAdLM3NdRwmVyXIwAA PpMAAAsAAAAAAAAAAQAgALaB+wMBAHZpZXdwb3J0LnB5UEsBAhQAFAAAAAgAr0U4NXwC4wW+CwAA bioAABIAAAAAAAAAAQAgALaBuycBAGxheWVycHJvcGVydGllcy5weVBLAQIUABQAAAAIAHSzNzVt dDLcxRgAAEpmAAAJAAAAAAAAAAEAIAC2gakzAQBsZWdlbmQucHlQSwECFAAUAAAACADXOTg1rUvI Fvs2AADU8wAADQAAAAAAAAABACAAtoGVTAEAbWFpbndpbmRvdy5weVBLBQYAAAAAHgAeAGsHAAC7 gwEAAAA= ------=_Part_8560_12232153.1159056382154-- From bogus@does.not.exist.com Thu Jun 7 16:37:16 2018 From: bogus@does.not.exist.com () Date: Thu, 07 Jun 2018 14:37:16 -0000 Subject: No subject Message-ID: 2007-04-11 Bram de Greve * dbflibmodule.c, pyshapelib_common.h, setup.py: attempt to add support for Unicode and Language Driver ID (LDID) support in dbflib. Before the strings are send to the underlying shapelib, they are encoded using the code page specified by the database's LDID if present. To know this LDID requires some unofficial modifications to maptools' shapelib. Backwards compatibility is ensured by detecting if this field is present and setting HAVE_LANGUAGE_DRIVER accordingly in setup.py. In absence of the LDID, dbflib assumes a Windows ANSI codepage (cp1252). New or modified functions/attributes of the DBFFile class: - read_record(...), DBFFile.read_attribute(...): modified, now return Unicode strings. - write_record(...) and write_field(...): modified, now accept both regular and Unicode strings but both are encoded. - language_driver (read-only): new, the numerical value of the LDID (exists only if HAVE_LANGUAGE_DRIVER == 1) New or modified functions/constants of the dbflib module: - language_driver_codec(...): added, translates a numerical LDID into the string name of the Python codec used to encode/decode the strings. (exists only if HAVE_LANGUAGE_DRIVER == 1) - language_driver_name(...): added, translates a numerical LDID into a string representing the corresponding constant. (exists only if HAVE_LANGUAGE_DRIVER == 1) - LDID_NOT_SET, LDID_DOS_USA, ...: constants representing language drivers. (existsonly if HAVE_LANGUAGE_DRIVER == 1) -- hi, i'm a signature viruz, plz set me as your signature and help me spread :) ------=_Part_36388_6302209.1176249117444 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit Content-Disposition: inline I've made an attempt to add (partial) Unicode support to dbflib.  Partial, because strings still need to be encoded to a subset.  But this is of course how the DBF databases are designed.   The language driver ID (LDID) in the DBF header is used to specify this encoding.  Unfortunately there's not UTF-8 LDID ...

From the Changelog:

2007-04-11    Bram de Greve <bram.degreve at intec.ugent.be>

* dbflibmodule.c, pyshapelib_common.h, setup.py: attempt to add support for Unicode and Language Driver ID (LDID) support in dbflib.  Before the strings are send to the underlying shapelib, they are encoded using the code page specified by the database's LDID if present.  To know this LDID requires some unofficial modifications to maptools' shapelib.  Backwards compatibility is ensured by detecting if this field is present and setting HAVE_LANGUAGE_DRIVER accordingly in setup.py.  In absence of the LDID, dbflib assumes a Windows ANSI codepage (cp1252). 

New or modified functions/attributes of the DBFFile class:
- read_record(...), DBFFile.read_attribute(...): modified, now return Unicode strings.
- write_record(...) and write_field(...): modified, now accept both regular and Unicode strings but both are encoded.
- language_driver (read-only): new, the numerical value of the LDID (exists only if HAVE_LANGUAGE_DRIVER == 1)

New or modified functions/constants of the dbflib module:
- language_driver_codec(...): added, translates a numerical LDID into the string name of the Python codec used to encode/decode the strings. (exists only if HAVE_LANGUAGE_DRIVER == 1)
- language_driver_name(...): added, translates a numerical LDID into a string representing the corresponding constant. (exists only if HAVE_LANGUAGE_DRIVER == 1)
- LDID_NOT_SET, LDID_DOS_USA, ...: constants representing language drivers.  (existsonly if HAVE_LANGUAGE_DRIVER == 1)


--
hi, i'm a signature viruz, plz set me as your signature and help me spread :) ------=_Part_36388_6302209.1176249117444--