195609 2009-06-08 00:02:07 +0000 Crashes after navigating around on website 2016-08-01 20:37:19 +0000 1 1 2 Applications dragonplayer general unspecified Unlisted Binaries Linux RESOLVED UNMAINTAINED NOR crash --- 0 pascal dragon-bugs andresbajotierra 0 oldest_to_newest 771671 0 pascal 2009-06-08 00:02:07 +0000 Application that crashed: konqueror Version of the application: 4.2.85 (KDE 4.2.85 (KDE 4.3 Beta1)) KDE Version: 4.2.85 (KDE 4.2.85 (KDE 4.3 Beta1)) Qt Version: 4.5.1 Operating System: Linux 2.6.30-8-generic x86_64 Distribution: Ubuntu karmic (development branch) What I was doing when the application crashed: I went to dr.dk and clicked to start their tv streaming.. I got a notification that sound was going defaulting back on (I think) pulseaudio. After freezing for some seconds, Konqueror chrashed. -- Backtrace: Application: Konqueror (konqueror), signal: Segmentation fault [Current thread is 0 (LWP 31587)] Thread 16 (Thread 0x7f465deb0950 (LWP 31686)): #0 pthread_cond_timedwait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_timedwait.S:217 #1 0x00007f465aaa9f91 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 15 (Thread 0x7f465ecd1950 (LWP 31687)): #0 0x00007f4671bc4932 in select () from /lib/libc.so.6 #1 0x00007f465aad30a4 in xine_usec_sleep () from /usr/lib/libxine.so.1 #2 0x00007f465aab7deb in ?? () from /usr/lib/libxine.so.1 #3 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 14 (Thread 0x7f4653b65950 (LWP 31688)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f466f6b083b in QWaitCondition::wait (this=<value optimized out>, mutex=0x3576078, time=18446744073709551615) at thread/qwaitcondition_unix.cpp:87 #2 0x00007f465a38122c in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #3 0x00007f465a386b92 in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #4 0x00007f465aaa781b in xine_open () from /usr/lib/libxine.so.1 #5 0x00007f465a35e075 in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #6 0x00007f465a362231 in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #7 0x00007f466ec053fc in QApplicationPrivate::notify_helper () from /usr/lib/libQtGui.so.4 #8 0x00007f466ec0c6ae in QApplication::notify () from /usr/lib/libQtGui.so.4 #9 0x00007f46703a1526 in KApplication::notify (this=0x7fffde7f4370, receiver=0x1900f50, event=0x4feb4f0) at ../../kdeui/kernel/kapplication.cpp:307 #10 0x00007f466f7983ec in QCoreApplication::notifyInternal (this=0x7fffde7f4370, receiver=0x1900f50, event=0x4feb4f0) at kernel/qcoreapplication.cpp:610 #11 0x00007f466f798eda in QCoreApplicationPrivate::sendPostedEvents (receiver=0x0, event_type=<value optimized out>, data=0x1931720) at ../../include/QtCore/../../src/corelib/kernel/qcoreapplication.h:213 #12 0x00007f466f7c1a93 in postEventSourceDispatch (s=<value optimized out>) at ../../include/QtCore/../../src/corelib/kernel/qcoreapplication.h:218 #13 0x00007f466b90c8be in g_main_context_dispatch () from /usr/lib/libglib-2.0.so.0 #14 0x00007f466b90ff98 in ?? () from /usr/lib/libglib-2.0.so.0 #15 0x00007f466b9100c0 in g_main_context_iteration () from /usr/lib/libglib-2.0.so.0 #16 0x00007f466f7c1706 in QEventDispatcherGlib::processEvents (this=0x3c31030, flags=<value optimized out>) at kernel/qeventdispatcher_glib.cpp:324 #17 0x00007f466f796cc2 in QEventLoop::processEvents (this=<value optimized out>, flags=) at kernel/qeventloop.cpp:149 #18 0x00007f466f797094 in QEventLoop::exec (this=0x7f4653b65000, flags=) at kernel/qeventloop.cpp:200 #19 0x00007f466f6ac96b in QThread::exec (this=<value optimized out>) at thread/qthread.cpp:487 #20 0x00007f465a35450e in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #21 0x00007f466f6af781 in QThreadPrivate::start (arg=0x18c7100) at thread/qthread_unix.cpp:189 #22 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #23 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #24 0x0000000000000000 in ?? () Thread 13 (Thread 0x7f464ef52950 (LWP 31694)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f465aabb353 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 12 (Thread 0x7f4650b49950 (LWP 31698)): #0 0x00007f4671bc2686 in *__GI___poll (fds=0x3d5ff00, nfds=2, timeout=-1) at ../sysdeps/unix/sysv/linux/poll.c:87 #1 0x00007f46543ea21f in ?? () from /usr/lib/libpulse.so.0 #2 0x00007f46543daa69 in pa_mainloop_poll () from /usr/lib/libpulse.so.0 #3 0x00007f46543dc509 in pa_mainloop_iterate () from /usr/lib/libpulse.so.0 #4 0x00007f46543dc5c0 in pa_mainloop_run () from /usr/lib/libpulse.so.0 #5 0x00007f46543ea13b in ?? () from /usr/lib/libpulse.so.0 #6 0x00007f46541aed40 in ?? () from /usr/lib/libpulsecommon-0.9.15.so #7 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #8 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #9 0x0000000000000000 in ?? () Thread 11 (Thread 0x7f4650327950 (LWP 31699)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f465aabb353 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 10 (Thread 0x7f464a750950 (LWP 31700)): #0 0x00007f4671bc4932 in select () from /lib/libc.so.6 #1 0x00007f465aad30a4 in xine_usec_sleep () from /usr/lib/libxine.so.1 #2 0x00007f465aab7deb in ?? () from /usr/lib/libxine.so.1 #3 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 9 (Thread 0x7f4652d4d950 (LWP 31704)): #0 pthread_cond_timedwait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_timedwait.S:217 #1 0x00007f465aaa9f91 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 8 (Thread 0x7f465250a950 (LWP 31705)): #0 0x00007f4671bc4932 in select () from /lib/libc.so.6 #1 0x00007f465aad30a4 in xine_usec_sleep () from /usr/lib/libxine.so.1 #2 0x00007f465aab7deb in ?? () from /usr/lib/libxine.so.1 #3 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 7 (Thread 0x7f465134a950 (LWP 31711)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f465aabb353 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 6 (Thread 0x7f464974e950 (LWP 31715)): #0 0x00007f4671bc2686 in *__GI___poll (fds=0x4a2fec0, nfds=2, timeout=-1) at ../sysdeps/unix/sysv/linux/poll.c:87 #1 0x00007f46543ea21f in ?? () from /usr/lib/libpulse.so.0 #2 0x00007f46543daa69 in pa_mainloop_poll () from /usr/lib/libpulse.so.0 #3 0x00007f46543dc509 in pa_mainloop_iterate () from /usr/lib/libpulse.so.0 #4 0x00007f46543dc5c0 in pa_mainloop_run () from /usr/lib/libpulse.so.0 #5 0x00007f46543ea13b in ?? () from /usr/lib/libpulse.so.0 #6 0x00007f46541aed40 in ?? () from /usr/lib/libpulsecommon-0.9.15.so #7 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #8 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #9 0x0000000000000000 in ?? () Thread 5 (Thread 0x7f4648f4d950 (LWP 31716)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f465aabb353 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 4 (Thread 0x7f465d6af950 (LWP 31717)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f465aaadafb in ?? () from /usr/lib/libxine.so.1 #2 0x00007f465aab3a6e in ?? () from /usr/lib/libxine.so.1 #3 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 3 (Thread 0x7f4645f4e950 (LWP 31718)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f465aaadafb in ?? () from /usr/lib/libxine.so.1 #2 0x00007f465aab4b1e in ?? () from /usr/lib/libxine.so.1 #3 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 2 (Thread 0x7f4649f4f950 (LWP 31719)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f465aabe02b in ?? () from /usr/lib/libxine.so.1 #2 0x00007f466b6bc3ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f4671bcc1bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 1 (Thread 0x7f467233f760 (LWP 31587)): [KCrash Handler] #5 0x0000000000000051 in ?? () #6 0x00007f465acfee39 in ?? () from /usr/lib/kde4/dragonpart.so #7 0x00007f465ad029d1 in ?? () from /usr/lib/kde4/dragonpart.so #8 0x00007f465ad02fd4 in ?? () from /usr/lib/kde4/dragonpart.so #9 0x00007f466f7a6c5c in QObjectPrivate::deleteChildren (this=0x3d3df70) at kernel/qobject.cpp:1854 #10 0x00007f466ec50bd3 in QWidget::~QWidget () from /usr/lib/libQtGui.so.4 #11 0x00007f467147e553 in ~Part (this=0x3d3f7e0, __vtt_parm=0x7f465af0f470) at ../../kparts/part.cpp:208 #12 0x00007f465ad0abdc in ?? () from /usr/lib/kde4/dragonpart.so #13 0x00007f466238342d in KHTMLPart::clear (this=0x34bac40) at ../../khtml/khtml_part.cpp:1611 #14 0x00007f466239e87e in ~KHTMLPart (this=0x34bac40) at ../../khtml/khtml_part.cpp:603 #15 0x00007f4662383377 in KHTMLPart::clear (this=0x345dd30) at ../../khtml/khtml_part.cpp:1594 #16 0x00007f466239e87e in ~KHTMLPart (this=0x345dd30) at ../../khtml/khtml_part.cpp:603 #17 0x00007f4671ea3b7f in ~KonqView (this=0x345de00) at ../../../../apps/konqueror/src/konqview.cpp:132 #18 0x00007f4671ea8b85 in KonqViewManager::clear (this=0x33f83a0) at ../../../../apps/konqueror/src/konqviewmanager.cpp:678 #19 0x00007f4671ea9c93 in ~KonqViewManager (this=0x451c3b0) at ../../../../apps/konqueror/src/konqviewmanager.cpp:93 #20 0x00007f4671ed8e04 in ~KonqMainWindow (this=0x307fa90) at ../../../../apps/konqueror/src/konqmainwindow.cpp:319 #21 0x00007f466f7a7f1d in QObject::event (this=0x307fa90, e=0x4a01bf0) at kernel/qobject.cpp:1101 #22 0x00007f466ec5446d in QWidget::event () from /usr/lib/libQtGui.so.4 #23 0x00007f466efffddb in QMainWindow::event () from /usr/lib/libQtGui.so.4 #24 0x00007f46704afa98 in KXmlGuiWindow::event (this=0x451c3b0, ev=0x4a01bf0) at ../../kdeui/xmlgui/kxmlguiwindow.cpp:131 #25 0x00007f4671efd40c in KonqMainWindow::event (this=0x307fa90, e=0x50d3500) at ../../../../apps/konqueror/src/konqmainwindow.cpp:5627 #26 0x00007f466ec053fc in QApplicationPrivate::notify_helper () from /usr/lib/libQtGui.so.4 #27 0x00007f466ec0c6ae in QApplication::notify () from /usr/lib/libQtGui.so.4 #28 0x00007f46703a1526 in KApplication::notify (this=0x7fffde7f4370, receiver=0x307fa90, event=0x50d3500) at ../../kdeui/kernel/kapplication.cpp:307 #29 0x00007f466f7983ec in QCoreApplication::notifyInternal (this=0x7fffde7f4370, receiver=0x307fa90, event=0x50d3500) at kernel/qcoreapplication.cpp:610 #30 0x00007f466f798eda in QCoreApplicationPrivate::sendPostedEvents (receiver=0x0, event_type=<value optimized out>, data=0x1363c30) at ../../include/QtCore/../../src/corelib/kernel/qcoreapplication.h:213 #31 0x00007f466f7c1a93 in postEventSourceDispatch (s=<value optimized out>) at ../../include/QtCore/../../src/corelib/kernel/qcoreapplication.h:218 #32 0x00007f466b90c8be in g_main_context_dispatch () from /usr/lib/libglib-2.0.so.0 #33 0x00007f466b90ff98 in ?? () from /usr/lib/libglib-2.0.so.0 #34 0x00007f466b9100c0 in g_main_context_iteration () from /usr/lib/libglib-2.0.so.0 #35 0x00007f466f7c1706 in QEventDispatcherGlib::processEvents (this=0x1363820, flags=<value optimized out>) at kernel/qeventdispatcher_glib.cpp:324 #36 0x00007f466ec9b1de in ?? () from /usr/lib/libQtGui.so.4 #37 0x00007f466f796cc2 in QEventLoop::processEvents (this=<value optimized out>, flags=) at kernel/qeventloop.cpp:149 #38 0x00007f466f797094 in QEventLoop::exec (this=0x7fffde7f4170, flags=) at kernel/qeventloop.cpp:200 #39 0x00007f466f799189 in QCoreApplication::exec () at kernel/qcoreapplication.cpp:888 #40 0x00007f4671f27fe0 in kdemain (argc=<value optimized out>, argv=<value optimized out>) at ../../../../apps/konqueror/src/konqmain.cpp:271 #41 0x00007f4671b045e6 in __libc_start_main (main=0x400730 <main>, argc=2, ubp_av=0x7fffde7f4e58, init=0x400760 <__libc_csu_init>, fini=<value optimized out>, rtld_fini=<value optimized out>, stack_end=0x7fffde7f4e48) at libc-start.c:220 #42 0x0000000000400669 in _start () at ../sysdeps/x86_64/elf/start.S:113 771715 1 andresbajotierra 2009-06-08 01:06:21 +0000 It seems it is crashing during the deletion of the DragonPlayer widget: [KCrash Handler] #5 0x0000000000000051 in ?? () #6 0x00007f465acfee39 in ?? () from /usr/lib/kde4/dragonpart.so #7 0x00007f465ad029d1 in ?? () from /usr/lib/kde4/dragonpart.so #8 0x00007f465ad02fd4 in ?? () from /usr/lib/kde4/dragonpart.so #9 0x00007f466f7a6c5c in QObjectPrivate::deleteChildren (this=0x3d3df70) at kernel/qobject.cpp:1854 #10 0x00007f466ec50bd3 in QWidget::~QWidget () from /usr/lib/libQtGui.so.4 #11 0x00007f467147e553 in ~Part (this=0x3d3f7e0, __vtt_parm=0x7f465af0f470) at Can you try to reproduce the situation ? If you can reproduce at will, installing "kdemultimedia-dbg" will allow to generate a completer backtrace. Thanks 771828 2 pascal 2009-06-08 09:47:29 +0000 Now I have installed kdemultimedia-dbg: Application: Konqueror (konqueror), signal: Segmentation fault [Current thread is 0 (LWP 2773)] Thread 15 (Thread 0x7f702d259950 (LWP 2867)): #0 pthread_cond_timedwait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_timedwait.S:217 #1 0x00007f7028781f91 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 14 (Thread 0x7f702bc37950 (LWP 2868)): #0 0x00007f703f941932 in select () from /lib/libc.so.6 #1 0x00007f70287ab0a4 in xine_usec_sleep () from /usr/lib/libxine.so.1 #2 0x00007f702878fdeb in ?? () from /usr/lib/libxine.so.1 #3 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 13 (Thread 0x7f702183d950 (LWP 2869)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f703d42d83b in QWaitCondition::wait (this=<value optimized out>, mutex=0x3e2b2f8, time=18446744073709551615) at thread/qwaitcondition_unix.cpp:87 #2 0x00007f702805922c in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #3 0x00007f702805eb92 in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #4 0x00007f702877f81b in xine_open () from /usr/lib/libxine.so.1 #5 0x00007f7028036075 in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #6 0x00007f702803a231 in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #7 0x00007f703c9823fc in QApplicationPrivate::notify_helper () from /usr/lib/libQtGui.so.4 #8 0x00007f703c9896ae in QApplication::notify () from /usr/lib/libQtGui.so.4 #9 0x00007f703e11e526 in KApplication::notify (this=0x7fff18540aa0, receiver=0x14e53a0, event=0x36bc330) at ../../kdeui/kernel/kapplication.cpp:307 #10 0x00007f703d5153ec in QCoreApplication::notifyInternal (this=0x7fff18540aa0, receiver=0x14e53a0, event=0x36bc330) at kernel/qcoreapplication.cpp:610 #11 0x00007f703d515eda in QCoreApplicationPrivate::sendPostedEvents (receiver=0x0, event_type=<value optimized out>, data=0x14b5ce0) at ../../include/QtCore/../../src/corelib/kernel/qcoreapplication.h:213 #12 0x00007f703d53ea93 in postEventSourceDispatch (s=<value optimized out>) at ../../include/QtCore/../../src/corelib/kernel/qcoreapplication.h:218 #13 0x00007f70396898be in g_main_context_dispatch () from /usr/lib/libglib-2.0.so.0 #14 0x00007f703968cf98 in ?? () from /usr/lib/libglib-2.0.so.0 #15 0x00007f703968d0c0 in g_main_context_iteration () from /usr/lib/libglib-2.0.so.0 #16 0x00007f703d53e706 in QEventDispatcherGlib::processEvents (this=0x3373ca0, flags=<value optimized out>) at kernel/qeventdispatcher_glib.cpp:324 #17 0x00007f703d513cc2 in QEventLoop::processEvents (this=<value optimized out>, flags=) at kernel/qeventloop.cpp:149 #18 0x00007f703d514094 in QEventLoop::exec (this=0x7f702183d000, flags=) at kernel/qeventloop.cpp:200 #19 0x00007f703d42996b in QThread::exec (this=<value optimized out>) at thread/qthread.cpp:487 #20 0x00007f702802c50e in ?? () from /usr/lib/kde4/plugins/phonon_backend/phonon_xine.so #21 0x00007f703d42c781 in QThreadPrivate::start (arg=0x2fd7050) at thread/qthread_unix.cpp:189 #22 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #23 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #24 0x0000000000000000 in ?? () Thread 12 (Thread 0x7f701cc2a950 (LWP 2875)): #0 0x00007f703f93f686 in *__GI___poll (fds=0x7f701cc29f90, nfds=1, timeout=333) at ../sysdeps/unix/sysv/linux/poll.c:87 #1 0x00007f7020e37969 in ?? () from /usr/lib/xine/plugins/1.26/xineplug_ao_out_alsa.so #2 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 11 (Thread 0x7f7020a25950 (LWP 2876)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f7028793353 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 10 (Thread 0x7f701e028950 (LWP 2881)): #0 0x00007f703f941932 in select () from /lib/libc.so.6 #1 0x00007f70287ab0a4 in xine_usec_sleep () from /usr/lib/libxine.so.1 #2 0x00007f702878fdeb in ?? () from /usr/lib/libxine.so.1 #3 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 9 (Thread 0x7f7020203950 (LWP 2883)): #0 pthread_cond_timedwait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_timedwait.S:217 #1 0x00007f7028781f91 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 8 (Thread 0x7f701f44c950 (LWP 2884)): #0 0x00007f703f941932 in select () from /lib/libc.so.6 #1 0x00007f70287ab0a4 in xine_usec_sleep () from /usr/lib/libxine.so.1 #2 0x00007f702878fdeb in ?? () from /usr/lib/libxine.so.1 #3 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 7 (Thread 0x7f701ec4b950 (LWP 2890)): #0 0x00007f703f93f686 in *__GI___poll (fds=0x7f701ec4af90, nfds=1, timeout=333) at ../sysdeps/unix/sysv/linux/poll.c:87 #1 0x00007f7020e37969 in ?? () from /usr/lib/xine/plugins/1.26/xineplug_ao_out_alsa.so #2 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 6 (Thread 0x7f702ca58950 (LWP 2891)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f7028793353 in ?? () from /usr/lib/libxine.so.1 #2 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 5 (Thread 0x7f701b427950 (LWP 2895)): #0 pthread_cond_timedwait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_timedwait.S:217 #1 0x00007f703d42d7a2 in QWaitCondition::wait (this=<value optimized out>, mutex=0x1180d30, time=30000) at thread/qwaitcondition_unix.cpp:85 #2 0x00007f703d42355a in QThreadPoolThread::run (this=<value optimized out>) at concurrent/qthreadpool.cpp:140 #3 0x00007f703d42c781 in QThreadPrivate::start (arg=0x16f0fd0) at thread/qthread_unix.cpp:189 #4 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #5 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #6 0x0000000000000000 in ?? () Thread 4 (Thread 0x7f701d827950 (LWP 2904)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f7028785afb in ?? () from /usr/lib/libxine.so.1 #2 0x00007f702878ba6e in ?? () from /usr/lib/libxine.so.1 #3 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 3 (Thread 0x7f701c429950 (LWP 2905)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f7028785afb in ?? () from /usr/lib/libxine.so.1 #2 0x00007f702878cb1e in ?? () from /usr/lib/libxine.so.1 #3 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #4 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #5 0x0000000000000000 in ?? () Thread 2 (Thread 0x7f701bc28950 (LWP 2906)): #0 pthread_cond_wait@@GLIBC_2.3.2 () at ../nptl/sysdeps/unix/sysv/linux/x86_64/pthread_cond_wait.S:261 #1 0x00007f702879602b in ?? () from /usr/lib/libxine.so.1 #2 0x00007f70394393ba in start_thread (arg=<value optimized out>) at pthread_create.c:297 #3 0x00007f703f9491bd in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:112 #4 0x0000000000000000 in ?? () Thread 1 (Thread 0x7f70400bc760 (LWP 2773)): [KCrash Handler] #5 QUrl (this=0x7fff1853f4f0, other=@0x49df09a) at ../../include/QtCore/../../src/corelib/arch/qatomic_x86_64.h:121 #6 0x00007f702f7d2030 in Phonon::MediaSource::url (this=<value optimized out>) at ../3rdparty/phonon/phonon/mediasource.cpp:192 #7 0x00007f70289d59fc in Dragon::TheStream::url () at ../../../../dragonplayer/src/app/theStream.cpp:78 #8 0x00007f70289d6e5a in Dragon::TheStream::profile () at ../../../../dragonplayer/src/app/theStream.cpp:72 #9 0x00007f70289da9d1 in Dragon::VideoWindow::eject (this=0x3784470) at ../../../../dragonplayer/src/app/videoWindow.cpp:818 #10 0x00007f70289dafd4 in ~VideoWindow (this=0x3784470) at ../../../../dragonplayer/src/app/videoWindow.cpp:181 #11 0x00007f703d523c5c in QObjectPrivate::deleteChildren (this=0x377d2c0) at kernel/qobject.cpp:1854 #12 0x00007f703c9cdbd3 in QWidget::~QWidget () from /usr/lib/libQtGui.so.4 #13 0x00007f703d523c5c in QObjectPrivate::deleteChildren (this=0x36fcf30) at kernel/qobject.cpp:1854 #14 0x00007f703c9cdbd3 in QWidget::~QWidget () from /usr/lib/libQtGui.so.4 #15 0x00007f703d523c5c in QObjectPrivate::deleteChildren (this=0x2fd5a20) at kernel/qobject.cpp:1854 #16 0x00007f703c9cdbd3 in QWidget::~QWidget () from /usr/lib/libQtGui.so.4 #17 0x00007f703d523c5c in QObjectPrivate::deleteChildren (this=0x36b8870) at kernel/qobject.cpp:1854 #18 0x00007f703c9cd713 in QWidget::~QWidget () from /usr/lib/libQtGui.so.4 #19 0x00007f70300e734c in ~KHTMLView (this=0x2fd5640) at ../../khtml/khtmlview.cpp:573 #20 0x00007f703d524f1d in QObject::event (this=0x2fd5640, e=0x49df09a) at kernel/qobject.cpp:1101 #21 0x00007f703c9d146d in QWidget::event () from /usr/lib/libQtGui.so.4 #22 0x00007f703cd62186 in QFrame::event () from /usr/lib/libQtGui.so.4 #23 0x00007f703cdf3489 in QAbstractScrollArea::event () from /usr/lib/libQtGui.so.4 #24 0x00007f70300e1117 in KHTMLView::event (this=0x2fd5640, e=<value optimized out>) at ../../khtml/khtmlview.cpp:540 #25 0x00007f703c9823fc in QApplicationPrivate::notify_helper () from /usr/lib/libQtGui.so.4 #26 0x00007f703c9896ae in QApplication::notify () from /usr/lib/libQtGui.so.4 #27 0x00007f703e11e526 in KApplication::notify (this=0x7fff18540aa0, receiver=0x2fd5640, event=0x36954f0) at ../../kdeui/kernel/kapplication.cpp:307 #28 0x00007f703d5153ec in QCoreApplication::notifyInternal (this=0x7fff18540aa0, receiver=0x2fd5640, event=0x36954f0) at kernel/qcoreapplication.cpp:610 #29 0x00007f703d515eda in QCoreApplicationPrivate::sendPostedEvents (receiver=0x0, event_type=<value optimized out>, data=0xf15c30) at ../../include/QtCore/../../src/corelib/kernel/qcoreapplication.h:213 #30 0x00007f703d53ea93 in postEventSourceDispatch (s=<value optimized out>) at ../../include/QtCore/../../src/corelib/kernel/qcoreapplication.h:218 #31 0x00007f70396898be in g_main_context_dispatch () from /usr/lib/libglib-2.0.so.0 #32 0x00007f703968cf98 in ?? () from /usr/lib/libglib-2.0.so.0 #33 0x00007f703968d0c0 in g_main_context_iteration () from /usr/lib/libglib-2.0.so.0 #34 0x00007f703d53e706 in QEventDispatcherGlib::processEvents (this=0xf15820, flags=<value optimized out>) at kernel/qeventdispatcher_glib.cpp:324 #35 0x00007f703ca181de in ?? () from /usr/lib/libQtGui.so.4 #36 0x00007f703d513cc2 in QEventLoop::processEvents (this=<value optimized out>, flags=) at kernel/qeventloop.cpp:149 #37 0x00007f703d514094 in QEventLoop::exec (this=0x7fff185408a0, flags=) at kernel/qeventloop.cpp:200 #38 0x00007f703d516189 in QCoreApplication::exec () at kernel/qcoreapplication.cpp:888 #39 0x00007f703fca4fe0 in kdemain (argc=<value optimized out>, argv=<value optimized out>) at ../../../../apps/konqueror/src/konqmain.cpp:271 #40 0x00007f703f8815e6 in __libc_start_main (main=0x400730 <main>, argc=2, ubp_av=0x7fff18541588, init=0x400760 <__libc_csu_init>, fini=<value optimized out>, rtld_fini=<value optimized out>, stack_end=0x7fff18541578) at libc-start.c:220 #41 0x0000000000400669 in _start () at ../sysdeps/x86_64/elf/start.S:113 772125 3 andresbajotierra 2009-06-09 00:08:19 +0000 Thread 1 (Thread 0x7f70400bc760 (LWP 2773)): [KCrash Handler] #5 QUrl (this=0x7fff1853f4f0, other=@0x49df09a) at ../../include/QtCore/../../src/corelib/arch/qatomic_x86_64.h:121 #6 0x00007f702f7d2030 in Phonon::MediaSource::url (this=<value optimized out>) at ../3rdparty/phonon/phonon/mediasource.cpp:192 #7 0x00007f70289d59fc in Dragon::TheStream::url () at ../../../../dragonplayer/src/app/theStream.cpp:78 Just a guess about this, your Phonon build dir looks like you have the Qt version of it, instead of the version which KDE should use. What is your Phonon version ? Thanks 772265 4 34380 pascal 2009-06-09 09:41:52 +0000 Created attachment 34380 qtconfig - phonon tab I'm running the packages in latest ubuntu testing. qt: 4.5.1. KDE 4.3 beta 1 772367 5 andresbajotierra 2009-06-09 14:11:46 +0000 You should have a "phonon" package. Which version is it ? Thanks 788438 6 andresbajotierra 2009-07-07 22:38:51 +0000 Marking as NEEDSINFO 34380 2009-06-09 09:41:52 +0000 2009-06-09 09:41:52 +0000 qtconfig - phonon tab screenshot.png image/png 66754 pascal iVBORw0KGgoAAAANSUhEUgAAAzkAAALqCAIAAACZrQ17AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA InRFWHREZXNjcmlwdGlvbgBXaW5kb3cgQ2xhc3M6IHF0Y29uZmlnCspUOgAAABZ0RVh0VGl0bGUA UXQgQ29uZmlndXJhdGlvbt1a08MAACAASURBVHic7J13oFXFtfDXnMvlFtptXBBUUFRUVBJbLFhi RRBifIkP49MXY3oxoFGjWJPYY09ijAn5jHlqeixgiXkxxogl5iWCKCgqKijt0rn17PX9MavN7H3O PRcuinomN7jP7Nkza+r6zVqzz3H//Nc/gEPy70915PtCOZTD+zbMevWk91qEciiHciiHciiHzQp9 +lR0deX1I/1nzicqKvoOHbZdn6omxA5I2t8j8T4EwQEg/wvgonibAIKUnNTBVhe2tEjF8o/uLakb s0VFKSlEXQkAzgGaqKDXJWA4OHq5VcNxlxEPBcrufVGKlF3qA5jVysWfKvR44ZA5DXs7ZLZ28ZJL rsAmi1NoIMh/Zf3igV16b7y7IT2s0tL1hsjpFkMAB4jgwu5C22g+gU9uVoaMluS7GEQUDFtZL5RD j0JFRYWryG1Yt/GNRW92deXH7DkaPKv1mfOJgbWVdXVDsW1BV+uTgPnusiqH7kIRxeNcMIscOIti yAkiBSYX0eOQnpZO/49RdCr/SGABi6yKBP+NNUmYCDUTk5dJowQTJkJw/sEITyOBzYMOubYI4OCd dyb4CwcOpf600DkEdM6hX0B5lXTgECnel44AzjlMEmebglZYk41kjS6zUc3qzVcIXmLTiy4Gcgdc kM88pRmdswu/X+ZB5A+xhJSF7Syf2gEiOnDo0CFVSgTkSNObiPRQpGpMw4likke13KxhKrKglKHZ eSFAs+XseMZID1v9lg58l9oJTZsCcObcLYEA/IwDxAJsFGUm+dhsUcacKGQafOE4BG52aj3bE2jH HIZdmcEDwE3pJZfUdB8x2jvwDEKWLmZbqTqC7WAMWiBsHdSBrKMUZaSBGUfUEehyOUR08tEMBc7R jDjf/aZciqF5pmMQub4yqtCsDaDCxX1rspOectxRoJNGMqOqGaHCvvFLjZ1AXjbfJwBom0RmqA7f oMGi4DOHlDrRbrTie2lpTtOgoGuLkdHkyhRAl03/gF0zy2FTg8u56uqqETtuv/Tt5fPmLBgyrLkP AFRUVNQNqMtveBawawsWnqtyuSpwFZ3Yb11+WG3Fimq3CjCPSRskHVuw3K0wRAtrZvAJ0sMei2Bg T0KaAjODxTZSktHqbZIhxPGZGUoCIpKs1siUTdKgysCLWQyVfv00AMKLkDISrdxgImzh9FHVil/D aKVjLmJ0CtUXLe9aL7NAs84y9Gc0rKJ0pDAdICMDsOJnpQUskKoGtJKDczrqvHJBdPQ4BrjmHCjB +bz9As5IK3iDrAMRlH9JJ6FpOG4B5wLVyoOF8ZOEQ0CwuAYOLLcBuITVXBaoFRpDBCJoOwzAIThi K6UqgSTuQ6UOmzn3h5QjtZC7ymT+X2kBivTatYeg5junO1BjrhZ4dg6ZF0FBjUmR5rXU1EXj1yml WT4LjGpamC5dvkEFUwC4BoAGGWmkOGlLOxnpIzqUCJrHOpoCZLJLFqCjbYSRjBopJrb4MW1lWUmo IJq7QpCmLQOZ/aCXLAEiUON/orQsRfGFlMruRheE+xwjbipZ0VIA/HqJcl2KeKWGU0ecHUf1kBbu XHRdr2TSO/XppRq1bmxra+1oaqzfuHGjc9gn/+9PDWmqxo7XtyCouT65vk1tFSMX5j+9srVx3UbX 2tpWXdO3X3VFY+3qHSr/OCCZm3Ss/EDZ85yZR90yWfFQaD4WnKcoO9kAgyz8WZFsTKaomQVh6m6U oSwSUi6yUrQhhWhamsabrDIfxKwYBy6rgaxpTXnOpUxr/mOS+GwC3QZCbEqOEJKSYz2iKEha2elF tFtnstINu9bFOFMY1xQukJGqNFxjHUQmDFJM5l82CBmGs02jXZCxYnPlFDu9ckNz2wEkOqZQGsWj rwVLBRsgrDFCiHnGjoJQQO1z/1k6FxypYvOZ0vv9CJrekREGCJAj1Y3oCM95vqn1BTEeeURqdkw7 0K5SJqO+jTpFBpnpPm7ObFDj6WYHvEEbMxRtHzoLqQZ1BeiI81lsftCMSoN3bPzS/uGBzc2l4Ned UU3sW5YYTPM6awXzMeEooa7X9uRR4bhZw+wi7web0U31ZA0wDCj2fJpg2j3pMUHVjCO5QJkrIEa1 6K7NiTcyVtgwBepFYb5LN22hdKZoI1kvGNV6hRa2KuTYDGEQk/UbNjQPaXp94Zt9OvN9Kyv7dbWu 3VKC5qoqake+U3nSv5bs/PLCV9euXbxh/UY/CatragYOHLBox9P2Gr54ZOUd+Q2vblnD3nsVMrRZ ijwgZJpopYAs+HPhg0UYq4gA2RQY7sVMQcHaG7ARwVFaGLUTQIkPculGV2RIax4kqcgBgAJpFsWs YMYrRSYbMblZ01pIQmxac1okoxH4lRtNOVHLaa1dbLNIoVQmrtlUxtDDOljawKn9K+hiF8rEipBJ R+iJu4DbUKiQtR8m/sr0J9scOTIgX6AWcuAstImjxpcsPQqk4wEIpYnUHDcMSIOnJwkG7W2K4fsy khxXERkPkNGbL5BFMnxGzyGILFSqMQVSs6L2W2C5ok6BxDkzerkt1G4tQuRA3Wo8YGVgudSCQMPV UBBBgyUubuZY5zN9FAQ1SFnP+Gk7vnh4ygGF0PvJTmLHTlcz0aReTqYqODaqRaAWIyGKHAZ+1VoM Ypxls7EOHzuU+GFbZfrspGMY7thQGc8BNbtxllSsKVFnpVYqIrBoCbG8lX1XNhq2JTklL6tOynRG zPAaaNYGIYPjUna7zQu9QgtbFXJstjBdnZ39+/fbuLG1DwAA5nXBLByuuQfOndJDQV1FRf9dF7iv PTu3bcGCZ5sb+x15wLbDm/s11teuWdu+ZPmGOfNXPvPMMy0777z3rhfu0e9aXD83c0C870OapaLV L/MppbcsTIH0bDUJxE5gMUgy7E6kbEmizxg9ZdjCqRhhRVIPRpKIvolp0njYsh4UT6gevNIsBSLM I6xL0Tld1NEc0pKaiRlHPKFOtQ7jGhbCtaDNQMCHLwg+MqxrZFMAp91NapSyYmFIW7BO5CpL84fd pPYrrhXxplN7lwwvPi9Gn2zeYO1zoJ3D7Bic01Lnp5yp4ZM7IDzIeSPbXkREbi0xFvinUO8VCIHS AimRByu1giEotpo60YZcNeELF4CjbwkXGHwQCESUARDZRMYWVycVYWoE/T8AJAA5APaR8iYBxMZW yJzGw1cGDA8BFikYSNLC3hAnTlsZqjLgZLiCSJHd8rIYlARqXhw1amouZA5UcLJ9FUxkl3pUfPgM v4pu6txktDNOZcrZWdLyS4ByTfqkms5kANNYppNorIZwHBnV0mazTTOqmX4wC7Ad4+kuK3ZXSS7T AWqWx81W3L1CC1sVcvSGMAliggj8HmhJaHnwHjB5Otx3eQ9Erei3U0vtlKee3bjwlZePPnjH/fdq lluN9VWN9VV77tIwf9Hgex95OcnnG/b7wvD8dUnroh4U8N6FyqGT+u35g1zNdgCu5T7XMBkBoOU+ O6UMakTt31PTmqWr9DUAINRP6gKAVff30fRQmgAuTAlGAFsXzjA4tZbCLCVCk6Fa4wTX7INSWfMg UY9FDQjbJPUgL4oZuBa3MIJZaQ2uuQK4Zgo0rZfGNUMoRpmKxqPskFc7tPeAtbdjJSJ193WM1JTd i2vLiLnD8fLuSzOayLac6mUn2sXXjKCF3YRy6k+tDEY18RWK+EYyhS2ygDgnpkpgrc4Ml5AwLDpL TDxKFURToah3Cwa+J9Y7BWFbFtWeO4CAWTxoHAkodETNGYEhcoN47a5AwdYdPTRu/ZNiNARzfB58 42uRlrJkBAlCm1lkOoFa2iAecrWDaaXVDEqRCoqiFiqRi6CXaaoEoAba5La1SgS1wHhWoKuD6c9G JkE3hjRmDh5JCEHfBc0o3E4HPBlbVAZvVLNrGj8I8qCZ9QBpo5olKrNRCFslGMFZd4O3CsCYzUxx vleNUY0LtdfdGNWMJL3pAO0VWtiqkKO3hMEkAb93KzEcvAcAwDX3AAD8fW736V2uOum//9ylOy2Y P//EY3bdd4/GJMmn/3bebsB/n7jHa6++Pn/ZNq39jwFXUSTPXM32/T7687pjljRM6qw7Zkm/j/6/ XM0If6thMnpgKvzstv0+MqPumCUNk7rqx68YcNCfS615Vui3x825mu3XPDY24LMouALXNiaL2TRg 6gIAAOqP7/JwlvGkUXTBpLbQxoo1QxiLUAVECg752mwlz0j3iHYVxRgtNekHrQ0AzIPRMm0fpOfM jjcluJXZ2paCvTUXgbxiIQDItlJgx7SFP7tkdrfOmE143bbNJQXJuuoZJKweimsXWBVHQRdHZGl9 8Q5Z42jzWGIzjc+mGqozJXXOEZE4ZDdxSJOq5IiXURCPhOdbDgAgUbSkctgwKCe3EL0P1yQTiwSi CJcdsMBfweRIjeazNt3qvC4zWhmJQOR0PE+uBLk5UaoMrKKBMkbTVDREgZgG0bFt1OtO7wlHaSV+ loPpcJ0jQmnI+pINq6YJMvSoMhwa4bmGMvbisUofhTrMtHBaP18p7k9BGzOJyEOuUyqenoFFTdpB csqa4GafRp0QgZq2JGQhPz9nydOL78T2zXJGAGZmbzDPFdSCjqCuK+T9jIxqqcXY2ZQCas5kztdO S5CGzAiZdjFeg2Xkh3etUW0zQa1XaGFLIEdv1ahxYNf0y+985bUlIsbLCxdPv/zOSmwtUZgesBoA nHcyXH03TJ4OV9/dfeJc7cgVfY75979f2HmHoTttX5svHBoGVhy493Yvzpu31I3PVQ8rmGHNiIGH PlvZPH79c1NaZvZf/9yUyubxAw99JlezfffC1Gw78JBn+g6dtOGfp7bMrF3798OwfWmP6p6q3QgA yK8laG25z2VDG6Yu6KNZd+w2VlbfkEIyWAqCmFX391n1QJ+wINT/m4LiIjIzDIgkoy4o6GCzlTyz MglXxhJwTZ4sHdf8uorZuEYxVjYfTy5H0X+imp3gGiC6XM7W10mPkCHM2i9Qta1tg4w1l9gu1IT0 X6uXlcQwPK6Aggqk/lmLmXPZnjdYnZu2Mi0pypZyIAwL0puT7qZJCUhoxy5ZYwJIRyuQ20tOeTlA Q2/a20hmLGI4EFUjZmD08IippsQCfzYJAqJjNpFs5QVLlPqzoUPqigCQiGdWWpzaJ6HyqbrEZ44b TfiFa4tyxF4yV0RDGUnBCDC9Rn2M0uOAeibLy41iaI2t0b5ruN5R/+uiodEZFmpjeBTpZL+BwKfe ZGrEU8ZH53KQeplAJiCNqAgCzCTNdn3y0TJA15ugBgGoaQrrDTRrg20k9qkC5cDDSlovdCnSzhF4 pYvuRv3AoObv6isFEZ/5cSoQnTKqmTZQoxrP8dD7qWXLUlVoV9+T0Cu0UCiTJ55+6cTPXjf72fk9 RY5erNGv/jD79zOfO/3MWxe+/k4+n3/51bdPP/PW38987p4/zi6Vf0ov++9zybQGUJInNFc7Yk3n kHeWLj1w7yFFmt6H/fesX79+w5r2AUXAq2bXy3JVza0vnNu18nFI2rtWPt4679xcVXPN6EvFolbI ulYz+rJc9TYbXzinc8WfIenIr3th/XOfoXsuV7Pz+XVHv94wqbPu6EU1O18ALmdzo79J+UEff6Gy 6XAf7+dHw+TEpuGa9+039if1Ezc0TMaGTwS3gmSIDZOShsmJnxQNk5L6yUn95KR+UlI/KfHcUzXq m/WT8/XHdw46ZnHt2Ntcn4HgoH4SvTBSP6mrflKXn4D1k7rqj+/iJT5XvfO3Bx21sP741kFHLaza +dvgcn721U3qrJvUWXe8/2sfcNi/+zQdViqu2dWtOK4VyKRnuOajrDULeDGVfDR/KVRPDpujvHQ/ B7mIURw7m3gldeYrEkJ9wGsSJkafYcAukYEt0ntaPzRRKp/qVPtfq+AMsaF5nHU9Q4FwGXn66HsT vNIg1W77wQZelYW+WMmRCUTP+ii3eU2A3pjHVjYiLQABNm/G8riGAqms2klwftODgAzYwIPA/IHg EByS7TBNZHF19M85BGkKLw8amUlCp7BtCJH1NYBjW5yUnNARRCcY5Y+eSRMwnwFfshmEW5x9cRKR 0SVCQuCM3cVJv0g5ZjDo8zJgDKWFQBiO1lBhG+VPjwQKmsUCaiY1j9I9hV4zfUwWepiApq0D9iwG 05DHew5y+tHnIFNe3y8KzqiZsmiRCBrZHu1A+dd0fGmgZtvLSa6go8l4PAnFVITuQA2DLrLH1KQ5 kYvyKOZANhTFvJ8RNUZIaAaFVq+XX/+MaOGNt1bcdPsji95aIYTw+pvLb7r9kTcXryxCC5nI8dqi ZZd9/77lLW0XX3Pv628u7xFy9GKN/vOEA3facbsEK8+6+J4n//Hy2Zf+Cl3fXXbafsoJB5YoTDFW u+Ye9XX+fS5Mng6Tp8PBe5TkAAWAXNXQdRuwb9++df0gn+Tl7623W35615OLl66ykRW5fFVlRWce 8n1HFsqwsvlYAOhY9pDEdC57yMeLTauQfauy+TgA6Fw2K32rZqdv1+x2RcfiX6+aNbBjyW9rdru8 ZqfzbIL2N2asmjVg/T8+XTFg935jfwrmXJovLiqxZpeLq0Z8oX3R7atm9mt77ZZUgVmahTNof/22 1bMGrrov5yNzVUPWPr7f6pkD2l68sGr7z9fucSMArLqfzKSr7q+Qa83bQfVO59Xs+r2OJb9Z/WB9 x5Lf1ez63epR59hSOt74f2serN/w3JSKAbvVjr0tgDCRR9byTcA1q16swgCDaz6Z5BZRF2qyANdk 7+tsrqYIxxt6gh9CE9aCLIbE8OljlggDCaV0I2PBs4aSOZpFOCWnUEpAbFQ7VRJAp5g8yiCLQ4sx MYO0oTPn9bgMPhNnTo055hJpG2tz8dhiFQ4n5X8QE7YyaE3InCT+YEE3xrYUvXEaAPacqs2PvS0u aLuMKS3WNW8qKxCcSZYyxUUI4LiSLCYYaqSm8MUBpMgMnIEzZPbixgH57BkiQVae3Iam0R3nrMI5 aUceu+xdRtLOyGfkpGt0SNB8IbOLYIQvnAaYwhMhP3e9pbTwoKltOfon6IqUl5ISa9dyzqgCiTnN ZIEsTDB/TYyxl3P1JF1oVZP1gzcccsGrDK0A/mAg74sYo7SBDA1zm6CsXLIKatvJeTEdY4RihpNK ATUZNcJY0gfIRenyXQKoZR5Tw7DcsBuxN72fPkS08PBfX3xs9muXXffgm0ta8kn+jSUtl1734GOz X3vk8ZeK0EIaOd5Y0nLZDQ/V1PZvbGyoqe3/nesf8hmWiBy9WKOhQwZe/50pO44cjq7v92/9C7i+ o3YYfv13pgxpHlCiMMVY7dwp5PH0FjVPaeedDAfvQafWiod8RWNHZ35A/9oKl7f+4r8+teiZf7/z xNNvRH7kgQNrMMGOXGEbYN8mAMDOFolJOloAIFfVXOgRfbZqMAAkHSvTt6pGfgkA2hZej/nWtoXX SYyE1pcuxq71HUvvB4Bcvx27Latqu9MAoO2VazC/se3lqylWFXPqlVuz/m186SLsWi/pW188P7/6 OcS29jd/AQCVQyZmFYjRp6oRXwCA9oU3Yr61/dUbAKDviC/YKde24FLsWt+59AEAyNXuAKrMU1Jl 4popi3HNrMvIy2FAbwCsjsU8kiG8ZOGCZkEMVwzUYqy28OYXBw54lS3VwOb4abtWsZ9JbsUJMiU3 6zMg+6XYB2nvksoSMdTyIVqWLFVSVWStTeoMxXZGaMHPQlAasxAqQ3CeyEu+0hJLFdYwEV2mrQIB uoHYI01zyXlusW0QAbMVw0OEQ9LIDGwsgTSXGMF87mhTkKWt4J9NaegQ7bAyOQGIfPyVZwQF8k12 AHLOjt7ulCp7dSiNbOBM9Dc1XxIOahLByaUUSX2mjUxdahDXMDoPHq0RO0udDh4ZoVJndGbg8X0Z nMaYC1yeDOwMSsuaH/FMVUyQ7OIEwWQrbk4zE59y4+2C7sTS3mB+1VlZR16EoPvc3Goic3LMjN9e MFMT+OuNpSUNqJHI/tmeuD7NzPQycnb6PgFJIRY1xE0ANdtR7x6oQYoWxh+++w4jhrmK6ptnPDXn xXdu/tnsij41O4wcduxhuxWhhSiTt5eulQcv/OZ4yfCdpWtLRI5erFGST4YOHvC10w9ramqsr69v bGz42umHNTf27wH/FC/vvsth3J4weTo0foI+Xn03nVrrNvRx7QMH9O/oyre2J9bd+fEDd5hw5O6H HTAycoN2dEFtbW21W14oQ09arrJOpe/bAADY2f2XwyXtywEg17cxfct7iJOOZQCQtC8FgFz18ODZ tsUAAEknAGTu8LMzbH9H/qXnZNxHeYhZBQA7VkiqPg2HDDj4r3UT1tRP6qqf1AEALpI/NbuK10gm XtK6GJypkWMZ7Bqriw9E63RQplnX9JbsXiVSs0WN0EvjkgmTmfXb+EMtT0XoZDUXgrg6EFS7AC9R sW+Fb4m7K2YTsM+aNrB6RWokFjv5tgQ9W5LRZkbXIv/L/iPGMuueKQxtutiSggoMGaKmiSOFY/Ql SKR6o6hqDCvnQnQDRgqI6Q3UoczZoTIctY93eglPO99S5lwZ2l43LSx/WPQvSqzBQJhvZvK+8W2U 42ysFh3ZAH2nK5b5GkCazHgMCJyZdUC2OQBMy45FYT+p1JA4V7ukQBfLnCqAaGYIORlanjHMwOMp FIxOHbpCCR7V2MoVtrDd5GiEjCrQ8YOa2nBQUFHztoRlO37S6eDi/1j8056Q6vhbOSpGW4WODegk A+FumjPcG9yecnyCJqW+TMAcRJ52IEGdszepTYq8TBAuvbxF8NfOZYKaL5a7q0RQ06xMZBC2EKhB ihYa6qqnnnHQdts25/rU3PPAgorK2hHbDZl6xkH1g6qK0EKUybPPL5UHd9mxUTJ8ds7SEpGjF2uU z+ffWb7+/j+/NmhQXWNjQ11d/X1/fm3Zig2l808OUitZ9HfOFDWqeVA7aA/6/o6r74Gr7yn4YNKx sqG+X8659a3QleTlb+DAyqPGbde/fx8bubEjqaysHtCvxnUsLpRh57KHAaDP4KMkps/gYwGgs+Xv Zg4WevYhAOjTfFyGnG3vAIDr24wArqoZAJK2xXZRj9b4bm8lbUsAwPUdjACuaqjeomWhAiGHDhwT IZr1C03ifvvc06fhkPX/PKVlZvWqmf38w2iXH/FyWQGQANFVNaOzNdKZJw9a2ZCN/JSncb8JLQRN 51RcThkm8E85DD+CGAOs/Gwl0CPXaM4oGXLDWAyxshBjmBc6nWM+Cg6ndEts0jaKDyliCxI4B440 tI8yS7cvyNecNv0oZ56M7hV6QzDP0pihXBTLWLfIYuxL0W5lJx43MR9UUqlRhDMlO3Akm+PzNdIA gq8glgNpN0mgrafs47vWYw2TIMknfaRWLsoII91v+cuxYokILjNEiW0+pgJyLs6iGA0QlhyYyZAk R9Ky3FAIPLoC9uJCnOlpTUDjA1gHe8VvDsNbZNbRwFssGvpSBYmgocOAhdzZMtXRZiZDDrlnzfz2 7QEydP2hND2Xxs/q2wMAmLAbMbOPYoOXNFK8+8qgNNOzTGlOvpFRvvDWpAEXWSVy0nxUkhjPqMnI BB2+lkwOVuPGFMiRrGhFYYALf/HTXFNBSC4EJxbdFCTZD2je+kRgr7av6GaDmpb1LoMaZtHCoEGV n/30mCHNTfX1DUOGNH3202MGDawsRAuZmXzso0OPOHjH00+iBwcNqvzcSXsccfCO+39kaKFMtlyN lq9u/cOji/tWD9h+2+ZT/2PMdts2960a8Ic/L165pq1EYbp/t+DJuQAA914OK+6Fg/eEydPhE9MB AJpGwW7HQM0usM+ZlCYKXeteqO/XNWL7kS+/1dntuwWLl8M22wwb1D+XX/dCIUk2zr8k6Vjeb/dr +9QfCLm+lY2H1o65BjDf+spVAICdawCgojbbR7lx/iVJ+9La3a+pbDoCcpUVA3brv/f/+Fvtb/0C AKpHneVy1dWjzgaAtkW3d9ssRYL3V1aPmuYqamp2Do6+5Te+CgB9h0xyuX61oy/NfFwxyFX4erlc dc1ul9sUvrK5mh0DZeCDg/Y37wSA6h2nOlddPWoaALQv+hmAWeYwXD5RYmLno+TJyzHaScwHOGye CMFyyvrLFk1xITaA4IUpFKwKtGWZZyUmOHnm/Bl1SwNEbAIS3RGbucUCRbdYiREoOTm7L+oVnbYq i4fO0eFnpi5S7qYVpSZoGt9WWfxgXJpjvSfaH6WGDrXvtApyMoxwmKqVBF1q0Y1kKkBvBQEuZjju TGQXFY8ox1YLrSMK1WlgWwL9MUMU/tOGcarUVQ4tyDZ88CWfdEAM7TC0TFYQy1BGS0BmXKrCWTBj 5DQbGmOOHaSMY2ZcOeEzp4NFeYKUemC87B7RnO4o/HE8FxvSHABZknROe5n5a8e4f6WjdcorpZVu S9PmNZRGqK9fWseN7aIn+UIWMbtjEhuXGR5sTmPilRgw1m0pChlzEMWcJrZZ5zIPqEmFYozTTmBx DKhFjeV4TXXMh7REZIEa2GueHcjT3b3LoOZDJi0M7Fdx/BHDR40cPPmI4f1rc93SQpRJv5rcAR+p 71ejD/av1ZhSkKMXa7TwzY6a2kHDhzV94ujhw5urTjhq+PBtmqqqBy58s6NEYbpntYP2gHuZE86d AivuBQBoGgXTpsEOO0BNzeirrx6d6RLNr507IHn+4IMOeumVZSvXaXulw4ZWN+eVDWP3GlvX9Zg3 SmWGZOPra/66b+fyRwfs99vGia0DD/5rrrJx3T8+3dXyJABsXPAd7Fxdd9TCxqz3QJPWN9c8vn/n sgf773NX48S2QeOezFVv429tnH9p6ytXV237mYaJ66uGnbTxpYtbX76y22YpEjYu+E77op9W7/CN hokbq3f4hr214V9n5Ne9OGC/3zdMXF814vMZDzMqoYMN//yv/LoXBx78WP1xa6p3nMopEABaF3wX O1fXHfVyw6R8uGlFSXNSUQAAIABJREFUAGxd8J22V67pO/zk+glr+m7z6db5l3qchSihLVRjWAfE GtJcpPd9skaDIbY4nlcp/4/XA3aNTrQKYW4sla4oANGzlEoO96hmI6JxIEdqAl3Nn61rRnHBtIzY tnijykeeg7aQB10QgaIM6c22ItAW5xm0sFVWVJJRiEJSiicew0zDc/34jQCqpgvRTWwvLDmJTmqb 2sEAI7esfyZQMcGI0CoxyUnzhLYuecbcyfwrJRR6FrPzYs5Ta0lMY5xngKeO2dDZcSsqWb6TgkxT GCRgezEaOHPOjkD/NSjRcDBH6oDjSDjCEDQ3RVypWFZrFUE0dRKCgrtOHRdKYVvLoQwbgqx40Ygl KgBwnD2fNLN7rW4pzcW5gwMnlEa+ZN8JZjWLBTF7OIZg85msicXMaT6jIuY02b9Q41ELAjjr9xQ5 0BxQ8wuL03NxXAXhsCxQo6Ri3bYwJnDmTc29DmpQmBaa6twR+9c0DHKl0EKvI0cv1mjHbfvsMqLv oftU11ZhPp+vrcZD96neZWTVDsMrShTGPTljl92H9+lqm1e6ENfcAx+dPHqbbeb/618wdSrccAPc ey/8dlpGyj51++Z2++kzzy9/6qm/H7JP/wHVGb8n39rZ59kXk333OWj3UXUwd3Ky8fVSZHAVNYMO /UfFgN3X/99/ezvW1hlcnwENE9Zi19qWWYOCG1aZRToAWF/qaVaTkp510RoX50kLR8FSAicBpi5s KdHExDCBlS6jOJeRswUSJw/qah3XIhae1ujAz8gekF+8/j39RiWA4Dex5diwUQz6m1BWJNJRJh86 aKIa2Bkp4/VLPCD8rVHhv4HsQcs6OZfG9+0PE7IgDjRj3uBzrsgUZH88gdssITUmSgVsE4I+Y5CB 3TRSDGMbPwPkYHNBr7EtilSM09js7gyUtIsaxtxN39q0UCTDtCQh0sjIltmJTvYIDmztqC9NYQRa pneoodng41jle2tV0EE6zhEBcs5Qm+kdFL8j8iiUESG/YIsEEyZzKgq9udzpgS1uFhktpPijgW2H vT4VTg07cZC/pAPATraQiU2RgeVbcJf+G813fiVAXhSwHYjBKwVII9TJblC+9hYxbP+gGWSFlKGP QnZcY6U07iZufYHD7NcIMBhdGea0oFuYrsT+DYX9ni5OyYVnmtPsKiVmzHSizQynjvwWbB4t3Pn6 93slk62qRpKmrm7Q8/+a17PvwpXw0kvzn3pq9NSpAACLFsG8edlvYnat/kfu7R/vPXbngw4+5E+z V770Zp8NrbmuLjpqt7Hdvba072PPtX9s/0N22XlknzcvKRHUAADzreuem4JJW789b8nVjty0Wmy5 0H/s7bnqYa6iX80uFwJAx5LfxCnsBM7gIXbPgXotNL3TBLoGYZgnIEB4vioEKbVhpLVnkVKs5D6B XZet8uCFK1bQpKtMzhgcYgtKjA7LKymJ+0ni2RwI5odkjM5FsI1sGhXNvyAsBGwsylqizQnoDH8Z 8OrHyz2wAjD+Fi9OaHSjNZdckrzsA32RrccyhXcyTRhHCq/yDnzrCCj54hLVKcjawiUoiCE5IfMD G4nUKKcmDDFKoKEE7V9xL/uzamSiCpWNryX3Pd9yYTejGRYO+KzY5v+ZDMFEQiQG2WnkEKUmoBHG jnaeqTIoEADZ58V1YvjhY0bc64g8CYBfJ2Em9piV6Cij9nCOfzRBux1AFDSPRGApbC8CAP2sKQ8t ksePGFX//gSfDH8erTILeDgqqIk4KAWZ2WRfHYgJyMwmuw8Kp6cLP5j1QlYafsHY7hzM8qV7CB7R guN2JstENVKk10eqIa9rsdMT5D0D5EZHZE9o4BXVguTkIgCPKEdD0JmpgZqc87HmNIRwGDiydkeg RpOriN/TgppzbkuAmoReoYUthxzvVY0k8Dfdp/qpSDj3P2Gfb8JNN82/4QZYtAhuvBHOnbKsUA5t r91Wnas+YO9po0aNevzxx//3uVfzXZ39+1e1tnb1raoYtcN2p/3XgQ0DIHnl/PYlf+iBEAD5NXNa 7q/p0SPvWuhc+cSgcU/karZLWhe3vnJt64sXF2zhxKxZATDxJEuCTVYAUkgJ9Fk/uRKj75zLWGQS iaDpq8+iSZBZCpjckNOYe8FSaRPIIXjKSrS9kS5B50CMZFQR3nuH6zs9jlxZB/5FO7I1mbPZprK6 6SabGuhyBLpVB4I2ogg+a0Vfqul8u2ZY2ujLPDVHylCMHWRsEysdYw5lCbx2ApGn6iNM2JklvATo BfJvb/AowQSMyS1xziH6/zvQ78t3iffi0rBBIEeXS/jQE+Ew0QLBjWz7yS5kdAZv6Ely5GsAqRgP U1Fz2o+UiwzGUkPpSUvQMqj1AeBhyFWJuILjHX91rqK8mDOFySgj0pJykghAIAtQjC2QkPpEgVjf gAmId9Q55GNaNFy4Px1iInrageOXkP0tASqyNyU8IInPqHu4b6UDZeNBljAyABu2CMgGBdHIq6gD nhrKfq8hM2vwe53hPGLTIxnS1OAd9bBvWQwK4MEbjQKU/bDOJ72ldQGzRphdjBNKo451+tqwABkX x79V5vgIH/88RzD6HG8egGxp9IK0jh069+b3bA5tM1MzgQwIHsOOe4l3joE/VnoyCoRwoLNyC1Ka NPxm0UKvZLJV1SgMfX4zZ+JefcasXrVaok4d8a1uJbnli3D1hVDZBK+/DudOgWvugXF7wkFj6O6d i75vMsG2hTdWrp0zdPT3TvzExHxS0drW1trWVltTU13Vt6Iicev/3fGvc7pWPxcVceeiXjNIvgdh EcATv+cPOYDvFU8eaH1zHZrH+ZwHgOcXnvn+rmzswCwZvDcziWl6x7qLFYeuX4HxXoKZ6E5WHNmX oUnAKCTXplzeiMs3UbEyUTUvjglk9GIOCj2MDGF2g82y6vIe1ljgTp71+sXx2lwqtFFK1IbTSKoR KpYBr3zcVrZdu+M2X0DCBi9HjEqGAuTfnUfz232EblTTBMhAZN2jIb3RcBG0Yi71mgb49w+4U6QW Tq+lfLLvAYIZlaD9b6sexwSfjRLtTX0RsbxOMyuCc+pB8zUk64ZHMZaTGwNIFTM2MJOxLnUMWlwA q0ExpNHI96eGLJkBO8ucLAQJz7VEJzWC8bMJxAOCeMCJtBIig+74TFqG68fIIJWVXQWaWYNAOybF u54gGnKT6rwH4P8bqOIJruZjnrSSwKG8Iak1lBSyRJoxoQNVDKE8GXW8Ux7FKE34qDtKkyUdlNhQ Kc2mEkrjvCFwepKWELpSjRGa03wlgtNpumps4dcIioZNpIUtkMlWVSMAsqv1PBw0Bu41+DFuT7j6 7iAmCp3L/9y58vG+g4+ubD6mqv9ug/rX5zpXdC2d07lsVufKv2V8PeyHLCiHqZ1Zl0Qf+OiDvuSj h07o5fl4yRCkEx0NtMCmJyBPeACilgLEZkwOIjIKV5ABPjOBJbaAq9S4AwoPhJ4ClgbdaPPsrIRm uQW+oUuyY1+Xbrrpf04lyYA2uiHrP2oRkgl4GxtjJHA1xdhAdzlPywJFuM2b6cBszpmJFRiYCpIQ 3QAcBOimlh1Db8h2F6E3Udf8oh+NJHm9UPcNah/zqgi1HQN4MQQkMEdtYJFOmoXBTtupuKLAonfD Ni2ej8rP6Rm+Od4piFIdBMtCGssGMvD9GjUjMuvQf0CwDJD9TuxHJ3gJyQwwtJyZ7BnOxHhGNaWT XWzqpeHsZENSlM9sSzpQFGNocGI99HOK8Ui/SsdMIpmQphsyEI13RRbrUNBGMsQoc+1FC4Ig1TRb QzY9+Yr60nXSGwuerEe8GbYQpiwHPaI0yKC0YFHTIJTmnxCF4OJlFsWDacxptDqbBJKtdPi7aE4r EHqFFrYq5OgVYTaR1aIQoVt2SDo7ls7qWJrxK0/lADwrzAxRYpM0TFI85zKITRMAQERsYOa5sbEF UgBYLZomNpKnCLHJUhAmSJvZWD9iYKzQhVtVhi6yvFSqL0f26+aNAwhukdzqG+UIg2yoGCnHlgXw rNoWpcMHmxlsnEqhxjavZeTwNWtnQi67ZzULp11NgQFVNGiIbhCiW8IYhWTOEeEAM+jNCaCy/SEE ONLownA8HsRmi6pTjMZVBSndr8MlVV/ONwAvOy7TGsWGUnVJ2tHjsj9JO2NKKjtWaSiL8vNDwFlc AwI6R30tjzh5gYDQBl2gIdmXxdOFhmUmmYF4x2SsU4qE5y9r9gjOvHz2dQNHB/N8mojPaLha+xmL z1uILBMa85BMCp1Cwex2NhXhnUU0mW3+EeU8l4loOpNRupRRBENus0NAkkn7SMNJnkjUZTbYZuHS dzdK8XiGlAbAkyaT0sCUxQt1SGkgy0UBSjMJ4ux59/FeUpqGXqGFrQo5NluYDFbTgSoxmLqrJ1Xs Df3U2WWX2GAa6BJo7a6pBf/DGdLElrZCW6u1TnWltE0jNjRbbWfLEbSI6S3wzwbEBl5DOB06Ui1v KJBrKkGGFBcvyg7taIvWVfGN+nWuOLQBe1/IRBda2kQfOHLKsDZy6oDlyMDXQ8zJtg/LbcDvppnW AdDE0eE2RWBEMGcO7YxAPimE7O2QapJhEzLpDVP0BiQgAxzZc0TBOfFzGYYDtntQd+q1JTklBtEf 2hNhfZy9q5fWtqbJN1d5xI+H+lOvzHRDlUFXsKBKPFYDFAPhVUTGNZ7Hxk4GEDCZ/p86ls6RgaEp WRtMO0M2mUWdYw1gxk0OpoUTOVEBvDRommz7meUzazlDnR9ySI8lVhsOjTN6m8d79/QsWohogigB ZCl78qcA0WRjRnMtmEv6L/Lqxx2qfYf8SSgt8l3ITkSM09TmYofFYMWOyEzPpVk65JkOVrCSKE0N b0xpqlQ5AURBVMx7RWkr1+kC7qQr00u4v+PocyTluo2UUtMAjwEzW7O3aMFC0wuhs8su6+I8kBEa SBG3dwFhMljNuQra09hVWPJzjndB8lknighVVT2IJKKhI2mcaTlnVRWf+OF8+MeZPoQhPXO6IzZR lS5NbABm4obEZhI454APQ0j3sgHIJxSokmUkFkbUHx9lk9qUbmZjjoNw0OobAewbleUY5WRMKdCm ljaQeeME2ACtuU1xiVHNgQNzr3RuAxcJpWpGiE1MbmCXFI9ufOgNmdeEqMXHikxP+lwGvSHXOgA4 hRWqJitry3C+VnIP6eC62n+IvRTmQEBbFxMeqqpEJEGIT3FIK5lCKQuE0nQQskdXpFF1LQMCeSVj hmWLG3UDUxHjjWkkyponCx/5ZxVLuw/l1RSW8WQvTGbsKdf5oi3GrAiO3yMxZCwNRVZh4MEpE0XA y6k5jZqkKJ9pbvycbIi4MoEBjXdIxoRG1TKYVRzR0CCajRQ4Yy8r6FJj9j+KShmGNKEBw9HWkAaW 0qTxaaj42hKlMXOxN5eseLQUO8kqTWmiILisiNIiW1pBSos2k+9+GDZsX+5AXe/5TxSh6XuUEcD/ roDGptGgc5aflY9Or7mVAaLxtLTXalRVPTASEq08tqaheDyFMpY2N23atL0+qu8WTDx+Qq/JWw6b F8R3RvYYpRdnbqUjg12FzwkCM5hd5JA3G7KeBUtGpN84c9mHEZwTPNCcJ6jQj2BXOl41wZlIlkZf bQJ71+n+kFcWUwNuA6NaAALUQhcYFWTaEJYYKgyazi+7qpAC3RLu2Exw2sDmce1KdOajEQTi7Fx8 5aIhEXBx3Av0nOl33c1xK3HX8YbKcC9ICazwnClCCrdcL5EqdAhqui4aCjYV5RXKsJGGTDArXbd0 +zhqpCyjLrypq3u6zhjUKNUaCs5iHPUl8N7D3LJ7EgC21wiOmF4kbrNqmWeNFKHcZ3Z9PITQ1jyt ynUfAjq0eISg+Qjid+NRnM4MmEaCnMPHUVs6vMBo1npgAQZjA4JcFJGNdhirTp4gtHCokRu1Z5nz gibVRiIgMycJzQSXra30ggM7axBklQ4byG6Spb3MuDJ1AJ2Mup5zi/EAky52nLlLR6aGRDlsLWHm A+Qw9d+v1jvn1cphSwSDaLqW0ZbPqHGr8gGA13QlNudy4QYrUCpgPkQQZTMMJcuhfVwWc6OEopog xunJYhdFO1l30cV5eUXFq5XHr4StOgB+BXV2QeNY5iV7PkxUQ6ByrIZA/4UXCTkcyfYmOgY5AiJu E8UKAPyVIn5vL3yG5MaUBZQ5VIVBXaathgPuP0w3LCbonMMk0c5z/mvVWDmx8s6ZMyvIlnEUje8H G9OE7UnknSkzuuILJM7nxCpHNokIoWqy5lVTPUc2eO3leKBDGLAAgRUKWVydnb+2fFACSgWVX1BH TMhbZKEFwhHW6yHLmrHKU5DUL5okeuLEd1wwK7x5TCY7AA0A/j4930pCZjKEMGOi0sCjMSmcQ2MS 0B+C1p0YwSYkPPGipSLiM1Q+Q7bfJkjvxaB/NdWJxL4NGYkCSiEWQcc7o7AqLl29xMwC6iWzd7Ft wja0oOPJrhX7jqlhUw3paH7ximW6GlwuNWyVvSywZtAupQyWRgc5ZnFZMoJusFyu6x+NRjkp+Z4Z 1cqhxFBmta0/FCQ2myaL2FjlGHUSZSsTGO2JCTT3wwyj2Aj3xIuVetCpFGAgzMhoz9BYaJNVV2CT VywhAQNtLIBAW7TVRgCExPECK+fPwHhwgI1t6o5EUN+JA+iW29RMZu1/3unlRKUS4ZG7wpwQ4+qF +oKTm6Z3TG+UpVN8MdqUMo0AjttcqYBBxDCcL4OQxPvChKsQ6B0DJ+2AXOWEfa5s0FGkc/KGnR2b RjkGyGR142brkgywS6I3sNiskRKGpJUvJowhjM6rCcUCE7X4ylkEY89QJAVVsgCeyQzsegGInwIs E8OIlGJ6OUC+FJo5K4BUVqamuDq9oY8fIKaVE/0ynKVyasuCQnzGGIOQmA0OtSDPRG6w4HEHCJCA fOGI34hRzopojHoW0ay7i1mPNz9iyw+nHCNXuPjJBimajfaabWnSqwE9BU+5dFww6J2tUpTYy6dz 0mYYmtbMQylKy9zFlMPWFsqs9n4JISSxju8uyBEK/4nzyrB+pRYeFFQxQjiIZr6P9c5Fq0hYcUTa VhceVIzxSqgAtHGpTnPlQsl5AQgJ58McBwYEEZlDCIkAING3B/RICDFYQoDCNEfIInoW2FqQOD5D JgYJejJhEfmctDNaTVSa10xi7WN0C3BLNJyHIz6oYmAw1W0Aoe0tG+CImJnh0GQTWDJYRajeomRq jQOiKj7YRNzmCJ4xOA2jqpc0C0GeApxu/YORA6kQoUa3waV1UmiYVERLUxpPIiFOCAcjII82Xz9j ffNl20x8Tjn2YYV8oCKJ7jWZFsYyZjIL3FH51mxGvG4GmPIRjVDuV541CnhOM+VdC80msIcv9Sin S5BPnNrv7ublwp5147eZ1WHHVAUJnZFkOBMJXAi2OtVQlibGQbHHpXpdIxhoEu4RQADe4Wg3pR9R Q5pfdWiFimEu5W1UwEvFZsgGYIqCeBRnh2j+SnQ3j5XDVhPKrPb+C6Ldrb0JAGiBdfYj04xNSi4p l6XqMP1BFYLxiiIdgHX2KdS7zqxlMbSheOXEVCAF2M9mHZGCdR9Mi7DTDPmWmrj0WVI/qlyMsS0R 35vfrxfnNmNCcAjkuAFyciIrKlZXCX9Zk2MF6MUwqglZIqknH4Zm0CQGEBgVjYpZvJ7ynEIAcGhO uqcZDmhUOYm02fB5OOrUFMyFkCD0LeLovYTxOho7lmasbynzG4h66rXJVGhWU8fvPgaRKJQJUhcX PagTRLylaRQDtoLbtpUGJziyexMrIhdeBMtCSSjwD1IxWQt2sZTefBbYzADYEBatAsqSjmcTiq3L lCAGtsC/aSZhMT6DxCMw8tG9wIQGYcMGTck+XN2DAR/+Cx2dBdotG9H8rrcooslhNT1Dx3nK7AjG rG4A0mKYDKQ4cMjfWI28CzOzwJmy9CPE07J8Lu19GTbx90CLhF1G7d7reb4fZdgSgU+wxduv7ndV nJKVPy2oGZYGXlYMgfHqbBZEIwPKUuB4y8kJWbfR5yRy1LLip6Uz4ZWMHzHGIS4UJX/KCjFJSH/x EkyuB4d2LWQHKDshAUG++hb56By6hBjQaxcAsxmlt0SRVZHwlKhpb3IDz3jyGOh/kY0PiKoUlXeD P8oPAfyhNwVxr+YTsXFSGiRdixjkI21os0YWImA45kL7PHDv8n3EJJEsHCsEBEiYZVA0hpPKBsG3 gyOvNdk+IuHAp+I/5sHgD03qUv6yM7GlhAKISF5OL3NWhSRzHvlOGwRlkyDtniRAzWCa17Y5D2gw HWQaL+gd08UsrowuGRgQDxtR535oSbbpcSgzWkYXbSxCrPZPJjIBeDoAmGnC7MaZWB710Jj4bk08 yvl25TcteAYzUhrWdzyjQc5GsG3YAWCSAJ80kAXEpaGJ0vsNhks4MUAhREsA7SqKOvJ5WkfrZnBe lvpRuZwmbBZHscFe8jL9XzTwamCFz1Qi5bC1h020q0UwtGDhvF1G7b5g4bzeECmjrCjnLVfW+zHI Xk2pQvggdVgBiprZ/JIkq1LK7eX/Y32jXhOh4QbvUaTnzflmZ07m6hdQiBaT4zgAamDQ/Tsb3XTR VAcQIZs8wqY1cM78uqUc2Eo0gVoB2GDgVAG5hH07vkJibKOzceKIRGNyE+XE2ZLmstts25xMftQ4 1g5l13CKcOFz2k1Ab5wl7L4kyxyZJZxLRO9A4EVFETbsYykSpIdAoEN1oezRg64BAgY5D8NaL9wE SK4u+Gh6VTMrTTFtYrB6K1OGJFV6ul4gw9c68cU2ySkRtIPNNEIwGabLQjtEzWsKnjmoc8nmBMwW CZuCtGqUvfwbWZfQ9i8A+3Rd+IxNLgOcIArMfS+3GM+QXt7004dNaB5PxLwtS4uYqGXVUSMc50Bs B/wLqoi8AUvErpnQCYewR/1kARLZLIbcmMyowQsnaSsatyu9JCQl8LZR0jhpLaB2jdpdPQ9oiu7O kKYhNYbRfiyD2QcgbLoPNKKlMjxtNSFY8M1Ejb4nQomMgUGfYleMZgN2NZH8CkObsQMZaGMnmqh+ Wq9Zs7PKZ+RCD3kI7AcRYJIiRDhGOFC/pH8v0hluc4b5wHAbZ2O9leT8kZNhxgUsx9ikOZCPUaua iTiZicOoNa6E6iMuS94SZfXMzS2n+gjm+D1Tykt+39uim7QqG0SQKdaBgzTGSa0LkFxwFfOcVEqH lBOwAyE23Vek3+8EAG8LAUmTkSDzse5Cdlb2DYMC3GYFBqBGA8EvY96xj0XNUkjmiMbAdIQAGSAk HrsT4T1iMk7v4QxkGKhJhWYnT0/pa/ATR5yMtAMBcyDSyocQDOOAzDSZmqtRHmNi4ZwcGVfFZgZi nQLalaCMnyw+A5rOZJND4jNAHvbcPSkaVQCSuY8QGM/MQgSCaLLPoHh9lcQsdFJECYim5Gd3Q3JW hJiQVsBwKZFy0XyUW7bFy+GDE8gHqrb8TQ1pt2M+n7/u2hsO2G/cXmP2nnrm2Rs2bNh0MQuEbovY ZdTut//kZwfuP27sHnuff970jo6OXpfhPQ+R+rF7+kjBpB80hit6fU8+SX4+LeecWCDzCdl5JOnF 6KCxugY5lyBBm8+X1l72kMoypBcQeEhZnQD7HIxqtE5S4RXygxj1I7tnQMQEgH0fKDoJvcMHAOWQ mmOnDHifEWBCx6TDU04JAvKEYq0mChi8TnLGm5bo3EtNP+SnfcKEANo4T7WFkKQFegBAnafs6gL/ GiupbYQEMeFGRQBIEkqSoF7wKKLWFusYWxCkmuYP7V+wsCCSa8/JqEr/QeCvzEpB5yV7+lcgKy0L sksLBI6qQz2t2emf6X31VBrzIsFPQsrf6UXCXESskJD7Etli5Ikn6l+BI8cjx0MRb5k8e3g5E0xU 7nAemamtQ9TDFbDXn62kZpDzkEdjhxSbXAKJDEufWvZCOmjFrE9DwEkLUSa0CDBfJkgfMHHG+Y7x iifzCPjgml+IZKhZMqN3pBARIDELFO1dEqGnwF5lZ7BBNG42WZW595X2WULT7t6Uq+NEoTAKEmln WaTGy+7O92kQKvP92fvn1ST8+NafzJ37wh/v/93sZ/5WXV197dXXvSdFPPvMPx548L7//eujK1as vOmGW3pdhq0t2NkrFxGHx2c1CkObbHbFewC6SIkKB9IJAm3oTCnIpYCshj4nPeFkUMlb2cT4wttH srpF3MYLOukbDI+gR9zmGYeOW3HuRIzeJ+JIKwN4KBWNSjrNIxs1BBq2Q00jTSbHtYDP3ND/qIaG 3hxbKEQw+RfY8iFpWCLEBBASTAACRAAwufEhPXPmkBASEyAaYz6jZnfIZ/VIRxIrkFIOeA4RLNJF VJfikgDvsiEvA/UK/W1aKCHnlDwQEpwFr8xqyqQT9kKEiMOYboSVE6CfhEjAibtN0jtAh4kONsjq X57VzrYkACT+ABgmgmUMb2RzpjqagSe52SGKNAVlKNuznsxwEOK16WNnBHRBk3KaxC4xKCY0mgUs GCYJUWfIZ8Hcpz2YbxZ9YVL4DMl9H4Ear2K0FqkJjeHJ7iTBroHsCudlwR9vDVBM1kBuJ2kPlrAA omnlIl9niGiYTlMOH5iw6ay2y6jd5S8zwW9//buLL5k+dOiQfv36fevcsx55+E+9UpYtrpQipl90 fmNjQ2Njw/SLzr//vgc2WYb3XQiP/+us5n+jNFAc2jCR/TTw48gfE1lNwhcRMHL1yW6VJeSVi3ar su+mvWwmtznXPbcZVapNoMu6vLTvnS3eEsZaQUxuZMYw+KHo5qRuanUjbUT15+XaPgyWlZg2QnCJ A6LvAxRDC/ojzcLQ5pQSgmU4Kgr5jsCeF9EZo4t0GuGuy4Y58JoM5L0NYTuLLFwtAIAkURk4B/5o 8gxgylS+0F8R21mJCQr8SaunZeIXDLSr9GOIXwG9CXvxGOUXBTiHCMW8kUy4BOjnjLS/WE7aLBiR 0DIZ0QyAgL5RE6s0AAAgAElEQVR/io7/ow4qb/DKGHopMJZxaxCFqcIxlQmWMZx5O6AzEweDR2kQ CPok3Dj0TKIvWAglxR3Go4U4ryifyTIS8VloQkNZlKgfdKWUd6R0GgI6gWiDaD5NEm2fea/q2FxY KqIJrMoQlW6QNOXwQQ29dl4tHd55Z+mE8ZPBL1dJsjkjKf1uQelFbLvtcH+x3XbbLl++YpNleD8H 2RkjiAvA6102+EdH2fgjLxbmTJtPj0AuVDTnz+j7y/mIPy0itPt1fnViMdDQmz/+y1nJoWM+nI6J OD/FN+H0NJvGkOmCCY/e0geQM1dOqxO0DwJt3r0eBboKlAFVSI+RodgxzJIKwIqJEvtoMm/4H0LQ 82f8BgCdTqMlmK6dyC76AFgGkjKh74mj5Zs+2Pce6PBQwt9RkuiJKAZJJz9KSBZOIwC1FtcRQWwq wclvJOXjtbpT5xWAHN0DrR1wc4OoLypIjRAhtPnsjUUhk2u576igQutN0KlRPmy/dIFsZIMxgvOh daoZgowGci2TzYabjUKiFSeFrgxHAskJS3B8dpKNso6KAupTSPUpkJ3MA708huTSdgyRoH1H1UYz umhA2mvU45I0gP0X0tLeCoPeAT6olm55ezCOZVAXIZI7lN301HgWfQCCfpW5ikArkh935sBZcPIs dQRNlxdaX/zvfNBUUFCTBYQKApCNqBXP7khRFl7ZGFOl6a0GWq2kJyJE44+85BpEkwWECy2HD37Y gt+v1tw8+Ne/u3vIkCHvbRFvvbV4xIjt/UVTU9OWE+b9EGTt0Nf3gFWR2W6ikx87ij/S1tg5OsyL upQA73s9P8mhd6fcIdzmZC1DIhblNj21VpTbkJ0RbGYjaqQljo/M035X1nE5UKxraI5/pIVCgG6A vgogGhGtZkFkwwFFCaRoi8t/MSwDgL/KivQ/54SqI5EsaYEuJ1p07HYxDMeJE/5GqwDjUkfXvdYX 9Q8ADh2dw0MLucRz/prMPAya1ojguO1EsEBvy4u2JiZqE7qWbQLnHp4KhAJBbyCWoMMUt7NyLCCb vxU/Iu0g569c2Gsg84CvhcOAOUxgHcg45M1afCEjHBlxAo7zmwHgY/jA+TKIg7xnowM+kcFjsIya RNyBvhNpoqabKW4fNP/yjHBOrILBhLITLRPOZHoKr8jGRvdjwTs0XJymIdgybx0V5zMx3lEGtia8 oZNxbAd0IgLwYgtsQfWvAckb2bxOgS5c9qOgmCzRPMrKiPYhDVvwvNrJn5ly4QWXvPHGm/l8fsH8 BVPPPPs9KeLKy69uaWlpaWm54ntXTZo8sddleD+GrDNtcog8eB8q3IzKqocACcQeUsobZEWlsnTb DH7LC4j0dVa6N+WljRlGL0hHIXsKeC13mND3MfGrcGpgs7Y3BAfm25K8pvOPA/IJIatrjIeFRQ/c QUBKku86NhJYlYNiXPL+QiqVlTSZN8RV5AWmM9xUBui7C6xN1eZBzi6UpRxJW6HoY9HTwOjJGUOS kL8tYccb+1XlZxocQy0SBiCyFy4RZw97Wllu1rTkLpTjiz5L0mH0xxzM3r2w1T3nkH82dTf7DzGM KOERzty3lrBCdBeInMK70rkisThJeaxL01A7kwUu4VwRIWHbjUdvGUYOvL8SqJ3pIklYCj+sZM5R n3mmkpGgwyMh6JchRJYztuv4wcYeTzJRI2LgzeSRLYMZeamQAR9QF08N00QsvPyl+imynNHpSUT/ epBvQV4Q/IUePmN7qnoJEBO/c6S3ixiN+bCsQ9MIslhl8Bk1aOYpNFk9QlADSHk5/QHQGNRAyUzj EVEO4MpCXXZ0fmjDFrSrffHLn7/9tp/+93+dvnTpsh133OGrX//ye1LEPvvuPXH85I0bN44/bvw3 p32j12V4Xwezn6P1PklkjVM469bYBsDfyuEXOsdOE7Z/MfwpHKq9jVQTRvY2uXC07gFfoKgG0NUt MLlZy1EWw6nVLdygA8sAwbY1XMt19fUbbI5AsP/Sf9WqZHR9YH4TokJmMv4iA3WhAoD+DCKbT8Q4 6u0u8rVVCfJPW6lYWkHHZML8pzY5X444aBJkdEA19ph+EkVmDXgss1Y8iAGQnkMToy0NLogwt6I0 6WC+VIVTFjCtFXKhsngF0qD8lxVnmJh7jWJ4zPFdnh0M+/wgN2MiX7rBMGCtmtzuah4DsZDxmKM+ km+i4QuaYN6GxD5TNt8Cg4WOJQDyQuo+xA5ueYGHKi3mYRCbGfAMF2gFkHrR9omwTFYH28qhW9Nv PgLLGV9wjBjg08Yzej+Auiu2lqWwrCT7GZo1DYKtLB94APlVXANkhUxoWMDLCdRe9sRhOXxIg5s2 bdpeHx2zqmWV/zzx+AnvrUC9G0bvNGb+Ky+811K8z4JZGniR062qrh2WcuxeFnULDjYBoqx3Pt4u 0QbXTLngoiWSGYcF5D0xsIVAYxAkRkANCqEbmLqw1BC5Ss1qHniRnGkQpltCHPYocdOFyazdS/NU AJLcjY8VlJ+i81vG62UADhng5AKCGLCWNFCe0/aG7q6556RoQViVMCY5AO0aiXCZ8cHdoiFNV5v4 lAyg8K6Nl1tEVzYrjhHnpm0ozaHIteC1IB3vESSS/aQmhrDMWbHtwKCPGDAZD8IQm50BQX6SI830 l8HMXlr5mVSbTLEonDhS1dC5CZbS/DMWhsIL5SSwYGVWA7Ojk4s0nHGTaFWD/Fj4kCrV1WD2oCJy is+kUnYVNYO9TGblEISZD8zyF3X1dXP+Na/8e6DlEIe0sU0WUOSTbZbnUmY2tNwm+10DTJSTv+BS gjUNPADYNKkjboYRITg5B4xuaKxuusdFCBZP0GVUtaSJTHQjjpEWUSpxxvZG/1XDm5IWIJ3LVjUm AEdaLWFbgmFQyy70JkCo76w+TlxofvPuLQE1YJerg0Bte0dbhMoW6QIiMxo3sABpPX3OmmGBGK0X BA3FeTu+a0KmIkvhHeeZlTorO8UyCyhBCeYYVcRnQWJW7TJGhAr8EGerGLgQwlxQef9NzhACFn29 M5sk+X1k7xU3BjM2KAZAJtzipwaYokV4pDHvHH1FcIRlCQ9gqiACTzPDNo4RTCYFC2G2bTJ5lGbY fqa46n2BGZazAM78rOEMHahNi4+gCTxlHj6TTkK+4JXKHBSN/Jt8cheA3gLO9GzKRchnakIzY6YM auVQLGwKq43eaUwUs+VsV+my3oVCy8GsFwGWgVHSwnNpbrMAZ6EqYa8E6CbVpS54ieYSyVLBy7uX ynvyZGHtBt04h5RFDUFL2XR6M4KB2ihSAOdAfmCHPvp78g3sRHIYujgTPrCsLk4IWztQxuyPEhcq RO6txLGqE0eY1/3OMB8qqImxhBWjP3EYfKSyBe/4I1jIM2nAUo5JLC3IATMSZFBZgciiNwqW4MKL QEyW3OAX6DFEYlCydTn+GJutuO4JaEcwhKlcwmHG/U1MFtnGjGzAvnYGRiOSkIH5mTXPZAoQPPwS 3pYk+k4oYZ6Xl5x0hbHMtN2mk5k+TpTmrcW05pAEgKXAmeOXMXijQBepw2e+ILAugvDCAWASvJzu bL2A1k9dakrnszKolUOhsCms9m5C0maWVea5zQ8lc1uQILqwAOcv/CFpw2eSW7bJzcRACegGBsVY TQglAW90A8NbQG/GPdENvVEtSga4kB107XdsEvRI59UkONaX3kKWwjgGOCqNuRAyGUWcZ6zjXHBw jdPoeTJ24wKo1zUCO3N4SzkvztOAHeUQ8hyY7lFeKaC2Mj2bhY6gdZ84TYGYkkQeM2pV7VKMxRbI bIx6JA1++Y+at+E0DE4rguAyCAEq+xUgURmACW1T1EpngAwcfb1IIkODfqlJvs8ioYkQ5a/DuBQs Y1G7IzMz0ZTMIDCbOZowctrVMFbW9O8WzqCQ8UyZ0suvAGfMjXzhXIxlZgEp81k59EIo+0DLoQeh KLcBfX8ULbvxRWj6ii/4nQbav6p5jLwaUBq6kWxeQL5GFjiJDG9kBvIPRfRGTqKCtjeQfHsGcFZO iBgusJOp4Q0F5gTjyNFFLs7g+CAYFcIN4KiubJZj65eyhW0qQbqY6jhN5lE5QboI4zLBzmKKxUSw AeMExUIBaMkMUYZp4olirOEwThnil8ZgRhMFx/WkGZnAAJRkYtMdZ+Sitwd4aMv44053bLfi30R3 /hvXPPoQkKkX3hRghqye7Qo3HipTD7AMwLFpqojNzKXJDPwMpyZDc5iBzVcinj01oZHF4YwJz4mp zhjPMNN4Zku3WBbyWVRKmc/KYbNCmdXKYROD5Ta5YCsa8A+HA0NQtOnUxGFMYldz85pCQXSLPKeG 3sJV21kW7Cm9IYDRC1Z5GoCz9wzAmbTcbMxzaYaz9h57Ctt8CRzXjX2dXgJ2Y7H5hGxyBH3sStOD Pon0oPHtclN5pJNr1KqoOw+0HwIfqG0iignVUmZk0E5cchhTJMh3v2XmVqSsUkqPP4Z639lqG6KL D5+FH4NmNC8KgHlXAMxRRekpcls6EMOYnFfz1krqcXmbmw1jLBh1K42/8JsFBfRNDWMmAxq1TrYR Qd/YSejbJcQy29BEY4pIJZEZz+JMsxkwmWWuDFAEzhAjOPOmMnGkgonBMEa3Z4nxJqeXxzKflcPm hDKrlUNvhtTGEUGVvYsUT9ELiNDN58qZ2xMkYC/MTjp8RDUIL+vF6A0A9JwVG9rkQxrgyDxg8lcC C41wUIDhKFvQmsYJbTND+MJBBsmBEQxAtR2KAcD7MgnpEOw1CrL4U37aa4n8ZKN/R8FIJF/nZROE tbB0mK6TbY2CfJal71Jf1hGE9Hd52IKyH4GULcbcI0iytUgfSrPUBQxenMAOdQD5OhfNUL8i1zkD YcphDtTUanoZSqAxW6twjCGYu4HvM8VkcqpAJiOG2cqURGC3qsEyUCwTkjZIV5TMwCKXxWMunQxa vLvTC4Oj5HjlpaYInMlF4Ovktg6MZ2WzWTlsuVBmtXLYoiHaXPYU3cBszdUMljrrBmYnjYxfagko gd5AnuJrgyH2OhvgjNXNXisFQnGGCzQVmCfs3RhxjGpP2SxcBBMpngMQ5Q+G5Mw1XSrYAUMBW+kQ zEchPACNEckkw1hcx+lTd8KG4U9ZRrJs+NMMsh5JmXkKFRsQWCqBqm0XpjfpkFuCWjIg2AC/ICCw 4FrbpgCHAYgXUkgCu7q6Ojs7jCxBgig9mI+m0+OPpifN6T37jqx5+1bt4GE8NRVIswTTrbKysiLX h+MjMoNwHgktKZCBfq+H43NxJEDaUMdwljaYOXvBVUj7T0WkciiHLRiyWW3VqlUvzJ23fsMG4MFe /rf8b4/+BYD+/fqN2WP3uro6M7I2Dd1A7ppkIBhnDG8QglrgNs2kN7O+W4aBKDe+zgY4qzALwJZR 5qkbEAexNGhl0XzUZEpCvkqR7SM01ah1QQp2inQGKgMIcGAILDDXgcE7Kd1ZTU4ZK+qBFUkoLTDI ROwak1amva1bJ2m3QW1vER/zhXViItoDamweo4GqDCdjOKK6mL1A8QvixjcvMVqo0oFt83BMywgA XV1dnZ1dw4ZuW1fX0JOW2CrCqtUti99+o7Kyb58+fQDQDPxiZGbtZ/4jrx4WyJQOGcXkIqA0X0oZ zsphKwkZrLZm9Zrnn587uKlx+xHbvfsClcMHJqxft/755+d8ZOxeAwcNKpCkFHQDa1qj1FkYF/KZ w1Dpiu1NEvh7THLWJtdTgAs4pwjDqR0OcsZKYkUFkdA+xzWNGi1FKIGO4SqnAa4o0kmbuPhRQEXe GO/8R+kXK2mUeUp6S5Nq77HRUDRE1clM4LrzSQUcTaAZPBU9nzaeWUFF30ftE4IXRFVjh10CYYgg DKR9Am53aOgvn89v2NA6ds+9W9s2vr30LZORCwY5mF5w1p+P8row8Lglu5axgUX2M6dG2rSpjPOK z/7zI3ztG6FuUP3uo/f699zn+vXrV1FRIdutcFgKUzlEO1ZleIohLQYyyijENX64DGflsDWGPgC0 B5So115fNGL77Y456gP1Awbl8J6ERx6d9epriz7ykb3Stzra29esW9vR3pFPQuWE4VKZCq5wKgzU QkZKjrSKpKchXVq6wOg6XWKRdR/7VPTJzmCrCZ2dnYjYt2/fgim6b+DABtV7ovVaCOoYuKuLSrs5 I6v3wtp16/bea5+169asXLUMACB0VoIduFypwPxpBlshIOOPpTMZPSHXhrow5FfX2rZx2JBthw3d dvHbbwwaVGcRDdGxHbOgzczFNvrIfmbt03rJdC6ega1pypXDhy9Ee70Mu1ou5xoHN75b8pTDBzk0 Dm5cu25dOn7dunVr1qytrKysrq7p1uahQfRGePIlHWcTphNEkXy9mWq2W27LvBV/XL9+fXVNTSrn iPMy/KmmDAwtfzLno0jIigykyooHAFddDatXr6qpqbUZhRIWerZYSlOj95J3yL9ZAy2rVtXW1IIB moKPhCSUkbJwgkLPZsanug/TKZMkn+/sGjp02NJlb7FhzNgp0RvhrO3T8FfK7MmZS+lOBiSfMsyY OCZ368G0fBa0jr32aVataRkyeNiLL70wcKAcoiCLp6UxthRjyGBKZpLA30i9qumCgsOLciiHrSdk sFptTU1NdU06vhzKoaehprqmtjYeS+vWrVuzZk1NTW2P10RJH0KZui/kp3Vc/FBId5kJ0CaO0viE RWEOC3wsXsdCdwvllvnZhcQk+on9RuE3ROgzGU5UAJCDUE4azTZLbPBUULA4AOpCtA7dWFFTypQY BZqldy1wBUpJMH2dxRehoxpIOiyUBiBNY/oxi73itgp+AUKK4Ejp2CTB9vb21raN+YSc2cGxRQDr QI1MZZRlUKxEFhmE/q4OgCJMluXEBPsvyYXY1t7W1t5msSyTxkxs5HlO28zKQFYO79dQfg+0HN7t sHbt2sq+fXtnrUxb0vwH+aEd54ro9wjgCqXhctBcl26ESycr+mAKn/jfbugtM9tQmwKAwwytrMqQ YzWZ9VoxQRg0LoC8cj+6a9NbxWyyD27FvbMl9WuBcRKxV3wrfdaQU8a8ZetrfkAjLsMCWcDV8TeT ZEYCM5PHRmQOyzDjhcUVHM+BbMHLxRGQhQQfhrQHU0TlOWUFcGFWsZHMtkDaYGYkcWlEK4dyeJ+G MquVw7sdkiTpU1HRy5kGa3Gm+Q26BbjihrcwWG6L2CJWJ0XlzrRVlGKTk5xdKqZY/oUj07Y6SFns IqmMlUPvibEIrf62zBc9wumT9J3AWrgFtG1hjo/rFUYX/KTvh2ZwmJJE5ugrfAtTXeYKREafnalH DMRZ4mGKxqJvxy1CYzkDYbnwCDSE8yVgspSprFAJkIllfGbO0liGW7McyuH9HnLvtQDl8KELSCv7 uxjswZRg+abzyN57Za6L5tTNLTSZRHkWx5V0QPOXjswQoWhMhjIrWiKC8hOm/iAwGmXcdmGJLp0m K30ksP498vCjxx0z6WP7HixNuvl/URGpoosJXGIdw7ZNCrQkZN0qFDL7MWs/EWXnf9vA/Nkq7jJq N4NDWaXGczYXNqYGKs3ZikR2sszq0DUq6PnvpcPIuWyxrExj5fAhCb1gV4tf1C+Hcti8cNJ/TAGA X//uni1fVJYL1Rrh/OcCP1JUipqI/EThSTjz7RYFSoh09gH7jbMfn3r2iR5ZzjiTg5969u8mGYbq 3z6b8n/GpaSsYwAH7DfuqWefyJLHGQGiBJkhKO6Wm3549bVX7LnXniU8WHqIvyCjuAwA4GtxwH4H +w81tTVjx+511rembr99+huOnGnq7KxMgkItbx8sDtmZkWoV88N4l1G7+8+1tbX77Lv3RRdfMHKH kZR7bG+OvwvD55a2kJUCTOkTbJkHy6ypzBpuS9jYlEM5fJBDqeYNZ0JTU9MZZ5yxdu3aLSpZOXw4 w5zn5+QqKnIVFXPnzH33So1dnobbQq2pJhksZoeLlFf0UkRxRIsOckWlPPXsE/Ln8yihepKbNYll 2urSNBbUQy1JWCRBZkjbFDMNWgXD8uXL99hzTMnGp3QoYBrrPmSL+tSzf3/q2b//4d7f7rrr6Isv vDQrPRQAtcxap1s+LeSmyU+rt3xcsHDegoUv/uXxP40Zs/u0qefYA/hs1bKDBAHQbmTAwFlkIcs0 mIm5LTC9hQ1imSz4Wruy2awcygEAeuoDRcSOjo4vfelLM2bM+MpXvrKFZCqHD3OYNfPBCROPmzBh /MyZD0rkgfuP++Wd/zPh2EkfP/Soy797ZWdHZ/H4JElu/eGPjzv2+MMPOfKi6Zds3LjRxy9evOSc s8874vCjDx338WnfPHvVqlWSzz13/eoTx5940McOCZIdckSY7JA//P6Pn/zEpw456PDTTv3cywte 9vFdXV033Xjz+KMnHnXE+P/55T1eKeXzyY9+8OPxxxx/+CFHXniBylBKKG6kDukNOzo6rvje1Uce fuyRhx975eXXdHT43xRyB+w37ve/++MJkz817sDDTzvl9AULXvaRAHDAfuPERDf7yac+85+njjvw 8BMmf+q+P96fLq2g969gAgqhAJ9dsGABsEXqgP0OFtNUkiQ/+uFt4485/rBxvqFaPcocsN+4u+/6 1eSJJx64/yEH7DcOEf2F76BvnXXexw87+pCDD5965lmrWlp80V1dnTfdcPP4oyccfcSxd/3ybh+Z JPkf/fBWk3+RjgixDKEoRyIA1tUN+tznP/vKywulynffdc/kiZ88cP9xAHjAfgf7ZFlNgQWa4sdp UW1TGFEz5QeQ8aO/rRRQkr9XX1/31a9/ef5L86XL7r7rV4cfevSYXceeMPk/Xpz3ks+tvb39wgsu 2Xvs/nuP3f/C6Ze2t7f7xLuM2v3uu37t03/i+BPnzXvR59/W1jb9/It9+oumXyLpR+805p67f/3x w44es+vYEyb9x4svzg/kLjNZOZRD0RCzWmpKx6GysvKcc84BgPvuu8/G+61bRUXFmDFjHnvsMR+Z JMmVV145cuTIysrKESNGXHHFFQl/8ak11PXKU+WwFQZEOXFitAUa3Aj/Ots7/vK/fx0//pjxxx37 lz8/1tneIVTyr3/+63/uvuP3f/x1y8qWn9x2e/H4/zfjjpdenH/HL2bMeui+qqq+P7zlRz7+nLPO /c8pJz340P2zHrx/xPbb33TDLZLPCy/Mu+MXP3vyqceLJ/vnc//3k9t/9MijDx5++KFXXnGNj//p T3722sLX77jz53/4w2+WLV0GAIAQyfCDm3+ECWLCp3sS8H9gbBmsYrFQDEAYkyAi/vhHP1mxYsVv fnf3r3971zvvvHPbrbfLFP7nc//3k9tvfeTRhw47/NArL78GEWc/8wQAzH76idlPP+EFuOyS737h i2f85bE//fi2H86Z80J4nMt2ZXjSK/RaibQMB3Txz+f+7yc/vfVP//vQYR8/9KrLr0FMZj/zNwCY /cwTs595wj/28xl3vPTiS3fcOWPWw/dXVVX94OYfifwvzJ13x50znnz6b96IKNbEb007d8rJJz34 8AOzHrp/xIjtb7zhFl/i7T+Z8erC1+745c9//8ffLl22zEf+fMYvXnpx/h13znjwkfurqqp+cMut hesVDtQ4QoJ6TlevXjPjp3fstNMoqbLILJzkU/qmeOTP0hfg+0IqZUXlprhV6PeFufPu+MWMJ5/6 mxEVEEEGkpWfDLJahSRJdGH3Fy0tLT/64Y9H77qLCPn0U8/c/atfPvvP2UcffdSF0y/2yW64/uZl y5Y9/OiDD/9p1pLFS2684WafHQA8/dTTd//qzmf/OfuoY468aPolPvsbb7hl2bJlDz866+E/zVyy 5G2f3uf/zNOUv0lfLBRu/3Iohw9+iJTpphzxTucCAJ/73OfWrVv3m9/8Zt68eZ///Od95FVXXXXB BRecdNJJa9eu/dSnPjV9+vSrr756Cz1VDh+A8Pjjfxs9epfm5sHNzYN3Gb3z3/6mp5qmnnVmfX19 fX391LPOfOThPxWPv/++mWd/a2pz8+Da2tqvfu3Lj/3lcR9/1z137rvv3lVVVf379/vyV7/49NPP SD7fnPr1uvq6bpOdc+5ZgwcPrqmp/swpUxbMX+AjH5z10FnfmtrcPLj/gP5Tp32juAxAylcNUeQR 8soW2D8UGKrU7Xjg/uMO3H/cgR875MCPkYnlkUcenXrWN+sbGhoaG886e+ojDz+q0p539uDmwTU1 VSytOF+1gKqqqhUrVrSsXjVk6JALLvy2FY0JwICZsZ0JJThwjj3HkXnknPPOHjx4cHV19WdOOXn+ /AXijHNO/+6/74GzvzWtubm5trb2q1//8mN/+avplG/4TrEIiAh3/eqX++y7T3V11YAB/b/ytS89 /fQzPqsHZz509rnThgxpHjCw/7SzztT8z5k2ZEhzTU3tV7/+5cf+96+FeLRQsNI6R0Ygb5v85OT/ mDdv3qXfudjKXF9fJ03hwHm0O+fcswc3Da6prv7MKSfLyNFKJQAI99/7wNlnB02BhFx+fA4KzJlM zQXcyBnn7n3M6J3GjN5pzMcPPeb5f8+59rprpB0uueyi5ubmmpqaz53x2XkvkJ1s5v2zLph+XmNj fWNTw4UXnT/z/lmS2yWXXTRkyJCampozzjh93gsv+khO39DY1JiVvjlKXw7lUA6lhB6/W9DZ2fn9 738fACZNmmTjv/Od7/Tv399Hvvrqqz7ytttuA4Czzjqrpqbm7LPPvv7662+77bbzzz9/SzxVDh+A MGvmQxMmjvfXEyYcN2vmg0cc+XH/cdiwYXyxzcqVLfJIZvzy5ctPnnKqvzZv+MOc5+f+8Ae3Lliw oLW1DULPS1NTk1wXSTZw4EB/UV1dnc/n/fWKFSuHDx8W1aWQDJB1dAtSMchOOAn+w+yn/2ZjHELL ypbhw4b528OHD29paaEbIq1zVloug47OXXnV92bMuOOnt/+8f/9+U8/65rhDDuYXCRgpSURnZTX3 Uof6TFimfwYAACAASURBVBg4YKBPVV1Vnc/nxSBlIWn5suUn/+d/+WttKATwnRKd1wIAgDnPz4k6 yOe8YsWKYdsMi35Rc/my5SefFOZfBNGyT1yFaRAAYPbT2a9HNA1uCr57lh8eOHAAAIJz1TVhX5jc ly9ffvKUVFNQtoMLCBy+hWC80BZGEfXb0V56ea6XK/oSuIEDB/oII6FbuXLFttvRaxPbbb/dihUr pbBB/Du/tkY9TV8O5VAOpYSesZqf2w0NDaeffvoNN9xgbw0fPhwAKisrwSxPS5YsAYDm5mYAGDJk CAAsXrx4Cz1VDu/30NLS8vTTzzz55OxLL/muj6moqGhpaWloaACAJUuWbLvttgDw9ttv+xgfMuOb mhpv/9mPB6fU2/QLLj7zm1874MAD+vWr3bhx41FHjM+UpMRkEpqaGhcvXhK9CVhIhhJDJsClYxCg oaFhyZLFvhEWL15cX1/PqBZTBiJEX3IP4Hbbffdrv38VIs6e/dQV37vqgQf5bIN9D4JyDHEzTlBK NQw7cGhqarx9hm8o+4ZH1uP8MauDEKgjFhfriJ6di0KImyu8m51bgRUpIzFGd5uaGm+fcdvgwYMD 22vwMgc9iAVAEoNLeh4zfr0+44RY5qGxxsamxW+9tf2I7QHgzTfebGzs5ucHe5q+HMqhHEoJPX63 ABFXrlw5Y8YM2SQVCUOHDgWAZcuWyb8es7bEU+Xwfg8PP/SnY8cfM/vpv8nfcRPGi0fvpht/sHrV 6tWrVt94wy3HHHuUPJUZ/8kTT7jqimsXv7U4n88vXPjqRfyaXnt7e9+qqqq+fZcsefuqK68tJEmJ ySRMmHjc9d+/cdmy5evXrb/xhluKy9C7wQEcdfQRN15/86pVq1atWnXD9TcdfcyRRV7FRID+A/q/ sWiR6PKLL7zktdde7+rqQoR8Pp86mAYgnlpEAQD10tqT+GrUwWxkcQ6c6z+g/xtvvClxnzzxhKsu v3bxm4vz+a6Fryy8aPolBXGHA3VQVdWSt9+hDnIOnJswccL1379x2fLl69dvuPHGW3zkJ0884aor r128eEk+STj/IiHtm47lz/gRBn02cl5L+6TiERF9X7zhPwLiJ0884arLr1n85lv5rvwrr8iYwbRg Jb5ty1Jv+sn9CRPHX/G9q1aubFm5suXy71018fjjejd9OZRDOZQStuxXkp522mkAcP3117e1tV13 3XUA8IUvfGELPVUO7/cwa+aD0co+YcL4Wfw26Nixe33m5NM+ecKnBw0a9MUv6SHFzPhTTztl7Ef2 /PrXph5+6FEXX3TZYYfR0a7pF3775htvOfywo7721TP3KvxNXSUmk3DG508fOXLEqad89sRPnjR0 6JDiMvR6+PJXvljf0PCpE6d86sQpTU1NX/pyscniAE455eTP/vfn5bjbIYcd8u3zpn/8sKN/9INb L73s4kJPsbcMjZsN02DiQ/RWRPTSwSmnnPzZ084QAbShDjnq4osuO/SwQ4SU+Nm4wOkXnn/zjbcc fuiRX/vKN6iDEAC5Iz7z2RNP+PTQIUN85Kmn/dfYsXt9/avfPPyQIy++6LLDDjs0FjzA06JH2dIv UAQvJpAg0TOR9OIhTfeFHTOXFB4z/5+9+w5r6twfAP4mBMgk7D0iU2W6qoILcICDqr97LeW22tYr 197WKtTWiYgM7XDUttaq9N7uobYqLlAEUVBvK6IMlb0hDBkhEEJyzu+PQ49pFgGDRPx+nvfhec+b d3zPSY55PTnjaV4zuSF6vZm52fzg0PnBoZaWFuuj3tFufQCAJihRUVE+fuMfPeq/K8GixQtLS0p5 Y3ieY33/Uk/1DW/lXpJd7Ovri4mJ+e677xobG21tbdesWbNt2zYqlTocrYAOKnxwt6qyysXVRbaw pqaWzWINqp/pU2fKnqc1YPmzSyDs4rDYIx3FwNo7Oow1OLKuFUp376HNVwbV1dNcRy2SSCS1NbWL F4e1PmoR9faMdDhDxKAzTYzNsq5luLq5jnQsAIyAc2f7r8sxMTXJzyvqP19twOmOmgpyL8ku6uvr 79mzZ8+ePU+hFQBgVNLiYSS4ixcA4JnweHqD4wieBwoAAAAAoMtgrgaeAap+6BxlP4ACoBVmZmYs Joe4Uv4ZRaPps1kcI6Nn7zdoAIYDzNUAAGD0kEql7m5jKRSKSPSsnqyGEBL19lAoFJ7TmJEOBACd MOh74QKgFTiOS6VSiUQy0oHolt7eXn29Z2CvpBsaikSikY5ieD2L62hgYMhzcnFydGrveNQn6Rvp cIaur0/c0dlmZ+twrzB3pGMB4CnR19fX09NTepOdZ+BbAYw+EokEIYqb61gLc8uRjgWA0YO4Xr69 41FTS+NIx/Kk+M0NOI58PCeOdCAAPCVtbY9q6qv09Wk0mvzcDOZq4GmTSqV9fdKZAbM7OtsfFBdS iJuL/vUm8BQKFUc4BVEQBadQKDiGU6jUP19CFETBEf64DsIpj3ugEM8cQhQqQjjxCvnMJuIvlXgJ IYSoiIL396YzfxFCuhDGKAjyOfzLYLDE4l5BV8fT3quHAY7j/Ob6zq72Ed+q8Bf+Pp2/xlxTr3G+ d+7+zmLL39YK5mrgadPT1xs/bnyPSNjyiK9HU3XGJEY+WAcnHo2E9z9AUOY+LfBIQQD+ortHONIh aFlPT/dIhwDAU9LdI7SzcbS3dayur5R7Ca4tAE8dhpubWbR1tA5cEwAAAHhutLW3mptbCjoFcuUw VwNPW6+ot0fUjWMjHQcAAACgS3AcF/X29Ip65cphrgYAAAAAoLvkz1fD/zQi0YBRRunHiViEjxkA AAAgi/x+lCuH42oAAAAAALoL5moAAAAAALoL7tkBdBHxVIO+vmf4xusAAACALDVPJlAP5mpA50gk EolE6mDraGJiNtKxAAAAANrxqO1RTV2l0icTqAdzNaBbpFJpT7doot8UUW9Pcyt/pMMBAAAAtIPD 4niP97tz93cmi6mnp6d5Q5irAd0i6BKMcXAR9fa0PGoe6VgAAAAArRH1iizMLO1sHavrKoy5xpo3 7L+2AG7VAXQBhmGCToG5uUWXsHOkYwEAAAC0TNDVaWFuKegUYJi6O8LLzcrgOlCgQzAM6xX19oh6 MAz+2wAAAGC0IZ9MoH6uJgfmagAAAAAAugvOVwM6Cw6tAQAAGGWG8tUGx9WATsIhQXreU8y2Hc/h 0JAgjf40eHBcDQAARt4n+z9BCK2PWq/1nmO274hP2KXqJSJjaGjg4Oi0eNFCM3O4qSEAOkejudqB g/uGOw4wmmx4J3qkQwDgWVJdXYMoVIRQTXWNg6PD0xyamMYJhd05OTm//HL8zX+vfZqjAwA0odFc Db56AQBg+OTl3pk40Q9HeO6dO7JztWtZ17Ozs8Visbe3V9iLS/T0aAghiURy7uy5/PwChJC3j/ei RQuJe6DLHT8jFokjZ8RfVUfXEEIsFjMwcM71a9fJkt//93tW1rXOzk5LK6vly5fa2NioHzosbMmT 1wcAKAXnqwEAwEiSSiWFRYU+vr6+vn5FhYVSqYR8qaqyct07b7+7MbpLKEy/fIUovHw5vVMgiIre sCFqfXt7B1muFDE/i0/YpWaihhASCrszM69aW1uTJeUVFWsi12zbvnX8uHFnTp0ZcGit1AcAKAVz NQAAGElF9x/Y2tpyuUZcrpGNje39+w/Il0IXLWSxWCwWK3Rh6L1794jCe3fzQxeGslgsNpu9eNHC e/fuPsnoMdt3xGzfsW/vvrra2r+v+D+yPCxssZERx8DAYMbMgIbGhgGH1kp9AIBScG0BAACMpLw7 eX5+fkTeb4JfXm6el5cXsWhi0v8UGhNjk66uLiIvFHaZmpgQeWMTE6FQ+CSjqzrexmAwiYy+vr5U ig04tFbqAwCUgrka0EVDva4ZgGdMV1dXaWlp8cPiEydOEiVUPaqgq4vNZiOE2traTc1MEULt7e0s FovYKVgsNlne1tbGZLLxPxuK+/r09fURQt3dPUhmJ1KzN6l6CVe2qGpobdUHYNQb2kddfq6G4ziO 4MGgQDuUPmcWRzjxV/FjRnz8EIIPIXhe3Mu75+Pjs2z5MrLk1G+n7929N91/OkLowoULS5e+iBA6 f/6Ct48PsVN4eXueP3d+6fKlCKHz5855+XgS5VZW1tevXQ+YEdDTI7pw/jxCiCin0+nNzc3m5uZK A1C1o8nvtmqH1lZ9AEY94pOOIyVfjujPmRyuMKOD42pAN8GRNfBcuJOXF7ooRPbT7ufnc+H8hen+ 0xBCjo6On336uVgs9vTyDAoOJKoFzw06d/b8gX0HEEKeXp7BwUFE+YtLl5z+7fTVq1eNOEYzZgYU FRYR5QEB/l8e/lLcK46L36kshEEcWVM1tLbqA/AcGMpHnRIVFeXjN76lpZVYXrR4YWlpKY/H8x4/ QavBgedRftGdqsoqF1cX2cLS0tLA2cHNrU0iUY9cfYlEUllZGTg7uEPQIRb3PsVIAQAAgGFnaEDn sI0ys9J5PB5xCxtZDAbLzMQ8Myv94YNiosTMzDT/7n24DhQAAAAAQHfREPFrE5wrAAAAAACgA+Rm ZXC+GtBJcLoaAAAAgBCCe+ECAAAAAOgymKsBAAAAAOgumKsBAAAAAOgumKsBAAAAAOgumKsBAAAA AOguuA4U6Ci4DBQAAMAoo53ngQKgG+CmHQAAAEafoXy1wW+gAAAAAAC6C+ZqAAAAAAC6C+ZqAAAA AAC6S4fmahQKZZQNNATffvutiYnJiEc44gEAAAAAgKDpXE3xy/vJv8417EHzgbQ4wxipycrWrVvT 09OJh7Y+zRh0bnKGQ4IECdLjtHNH3NAqDNgQEqSnnQZPh46rqSL3tPnRra6ubuLEiUT+uVpxTZQU lxz+4nD8roRPPvk0707e0xx6Z2ycYuHt27dP/HJCsfz4Lydu376t3bEAeDp2xsYdPXJMrmTAJsMa z/B1DsCzQn6uhuM4wvFBzRIuXLjg5eVlYGDA4/GOHevfyaVS6ZYtWywtLZlMZnh4uEAgkGtFHMih UCiyR3QOHz7M4/EMDAwmTJiQl5cnW1PVQGo6LC8vDwsL43A4dDo9NDS0qamJrPzhhx9aWVmxWKw3 3nijt7d3wK5EItGaNWu4XC6Xy42MjBSJRIrboa+vLzo62sLCwsTEZO/eveobUigUxZWlUCg4jlNk EJV7enpWrVrFYrGsra0//PBDslzuYJhs+f79+x0cHKhUqnbfiwG7koOTnycZiPh0Kb4g+ypRQybV VNecPn167ry5W7dtXvlqRGVV1VP/f5B8oa+vT1V1VXt7m2xhe3tbdXWVr6/PkMfaGbdjpP/TB+l5 TojBoBcWFMiWDNhk+OKR2R2GHMYwhgcJ0uAT+e2o+htQYQ6mheNqK1eujIuLEwgEWVlZN2/eJAqT kpJu376dm5vL5/MZDMamTZsUv8XJaMnCzMzM7Ozstra2ZcuWRUZGajKQmg6XLFmyYcOGpqYmPp/v 4eERHR1NVs7KysrPz6+oqODz+Tt27Biwq+3bt9fX15eUlBQXF1dXV8fExChuh507dxYWFt65c6ei oqK2tnbAhoorKzuu7GaJiYnp6OiorKzMz8+/fv264tCKbt26lZubi2EY0up7MWBXw+f69evz5s11 dXXR09MzMTVdujSMKN8Zu0u2Grm4M3bXjRs39+09ELczXnERw7DLl9M//ODjxITdx4+fFIvFZKs/ fv/jwP5PdsUlHP7iSENjI9nnzthdcmPRaLTJkyffvHlLtvDGjZuTJ0+mUqmq+pcNo7Sk9PPPD++K Sziw/5PbuXfkVkEikaScTtmd9MHupA9SzpyVSCRqggRAW+YvmH8lPUMqlcqVK/1Aqto7CG1tbT/+ 8HNS4p74XYnfffu9UChsbOR/cuBT8p8aHMc/OfApn89XrElUUOxWVU2EUPb1nI8+3JuYsPv0qTNS qUSuoaq9HgDd1z9XU5wfaI7BYDQ0NDQ3Nzs6OpKHu5KTkz/99FN7e3sOh7Nnz55ff/1Vk64OHTpk Z2fHYrE2btx4584dTQZSo7CwMCgoiMFgcLncpKSktLQ08qUDBw5YWlpaWloeOHDghx9+GLCrH3/8 kWhiZWV18ODBH3/8UbHON998Q6yysbHx/v37B2yofmVl/fTTT/v27bOwsLCwsNi3b9+A0SKEiPpE XovvxdC60orqmho3d9dBNamtrVv75prYnTGKi9evZTfUN6x9M/K999/V19e/lHaJbFVRWbV69Rub t2waN27s2dNnEUI743YQf4mMrCkvTC64V0geLhWJRAX5hVNemKymf9kwfv31VGDg7G3bN7/+xmt1 NbVynV+5ktHZ1fXO+rfXvfNWR0dHRnqmmiCRsm81AIbA0tKCN2bM//73u1y50g+kmr0DIfTDDz9N mzb1vffffe/9d83MzVIvpllbW9EZ9IqKSqJCRUUFnUG3srJSrKkqPDU1q6qq/v3W2g1R73QJhVdk 9heCmr0SAF2D/3VapulxNSqVShykIUilUuL3NYTQyZMn09LS/Pz8XFxcUlJSiMK6ujpPT08ajaan p2dtbS37+6MapqamRIbJZJJHEUhKB1IjJydn5syZbDabQqGwWKyWlhbypTFjxpCZRg0OS/D5fGdn ZyLv7OzM5/MV6zQ0NJB1NGmofmVlNTY2Ojk5EXkejzdgtAghW1tbMq/F92JoXQ2J/HHjXlEvnU5X cTxZ6SJaEDKPyWQqXczNzQ1dGGJkxDEw0J87N+h+0QOy2uLFoRwjtoEBzT9gekNjo4pR+hOTyRg3 3iP3di6xePuP2+PHj2UyGWr6lw2DRtMXdHUJhUIu1yjsxcVyY+XfKwgJnc9iMdlsVujCkHsF+UML EhKkwSSEEB4YNPvWzVsiUQ9ZgtR+IFX19tZba8c4O+nr0+h0w7lzg0tLyxDCJ/j55v5xm6hw+4/c iRP8VNX8a+dITZ9EhZDQBSwWk8VihoTOz88vkGuoeq+EBOkpp0HT9BlTNjY2JSUlHh4exGJJSQk5 G5gyZcqZM2dwHL9w4cLq1asbGhqI+jdu3LCzsxtCTKooHUiNFStW7N27NyQkxMjISCAQcLlc8qWK igpXV1eEUGVlpZWV1YBDW1lZkU3Ky8stLS0V69jY2JSXl7u7uw+2oSajV1VVEXO+yspKspxGo3V3 dzOZTIRQa2urquZafC+G421VSvHjbEg37BH1MJkspZWVLnI4HNmXZBc7OwWHPj+MUP//XSgUCvkS ncEg8jR9GoZhZLmq3Wua//Rvv/526vSpCKH//e/3la+txNX2LxvGivC/ZV29lpmRSTekh4TOd/dw lx1LKBQaGxsTeWMTY2GXUH2QsXExQ/k3AIC/whFisVkTJ03Kunp93oK5SIMPpKoPXk117eVL6Q2N DX3iPkSckouQt693enqGsLsbIby0tGxx2CJcRU25znHVfRK4xtz+8IyNu7q65Bqq2SsB0HGaztX+ 8Y9/vP3221988QWPx6usrFy3bt2rr75KvPTyyy/HxMS4urriOE4egFm7dm1kZOTBgwednJzu37+f mJj4008/yfVpbGz88OFDcv43IKUDqemwp6eHTqfT6fSKioqtW7fK1oyOjk5OTkYIRUVFRUREDNjV Sy+9tGHDhq+++gohtH79+vDwcMUmq1atWrduXXJyMpvNjouLI34G1aThgMLDw999992jR48SkZPl vr6+H3/88caNG9va2jZs2KCquRbfC026GiYODg6lJWU+vj5y5VQqta9Poq9PQwj1dPdo2Bubzfnn mtc5RpwnD8zU1MTaxqYgvxBRkI2trampieb929nZvhzxEo7jpSWlZ06nvPtetOyrTBarvb2D6LCt rZ3JUjJPBWCYTJv+wpeHjkyZOoUsGcIH8vjxEwsWzHNxdTE0NBSLxXuSPkQI0el0d3fXvLy7CEfu Hm50Ol1VTc37JJDhtbd3sNjy4WlxrwfgKdP0N9D4+PiJEyfOmTOHTqfPmTNn8uTJcXH9l1K/+OKL y5cvZ7FYmzZt+u6774jCzZs3z5gxIzg4mMlkRkRELFu2TLHPjRs3Tp48WfM7eykdSE2HycnJ0dHR LBYrMDAwICBAtuaMGTO8vLx4PJ6ZmdmuXUrO8pHrKjEx0crKytXV1dXV1dbWNiEhQbFJbGzsuHHj fH19nZ2dHR0dNW84oPj4eDab7ejo6OnpOW3aNH19faL86NGjp06d4nK5AQEBQUFBqppr8b3QpKth MmNGwKVLV8rKKqRSadujR2dOnSHKraytcrJz+vokgk5BSso5DXubPGVSSsq5tkePMAzjNzWdOD7A iXd0Or2lReWRS3//6Tdu3MzJvunvP31Q/Z888VtzUzNxYEzmEF4/Ly/P1AupQqFQKBRePH/Ry9tT fZBxsfHqKwCgOX19/VlzZl1Jv0KWqPpAqtk7JH0SGo2mr09rb29POfN49/Sb6Jf7R27u7Vy/CX7q a2reJ0Io9WJad7ewu1uYeiHV29tLruFg93oAdIemx9UMDAw++OCDDz74QPGl8PBwxcNFVCp1y5Yt W7ZsUdPntm3btm3bRi7KXdkge6GQmoHUdLh06dKlS5eSi+vWrZPt8P3339e8KwaDkZycTByKU0Vf X//AgQMHDhyQLVTVcMCVlc0zmcxvv/3222+/RQg9ePCAvK5iwoQJubm5ZP0333xTaedafC806WqY ODjah4Utupx2qbm5hcs1mjV7FlEeFrbo9OmzWVevGRlx/Gf43y+6r0lvM2b6Z1/P+ebr7zo7Bebm ZrNmz1Rf399/+tEvj4nF4tg4JZcAOzja02g0IjOo/j083H75+fijR21m5mbL/2+p3KtBwXMunL94 8MBnCCFPr/FBQXM0WTUAtMXbx+t/tx5fYaDqA6lm7wh7cUnqxUu//HyCw2H7B/gXFhQS5WPGjJFK MYTQmDE89TUVqanp6Ohw6LMvxeLe8Z7jA/8MjzTYvR4A3UGJiory9hvf3NRMLC9esqistNSJx/Px nDiykQFZUVFRO3bs6O3tXb16tYeHh4ZXg464e4W5VVVVLi4usoVlpaWBc+Y2tzT1iLrl6kskkqrK ysA5c9s72nrFSm5iBwAAADy76IYMI45x5tXLTjwe8Z98WUwGy8zUIvPq5fv3HxIl5hbmBXfvPwPP LQAIIR6P5+7u7ubmZmxsrPRHWwAAAACMSpr+BgpG1vr169evXz/SUQAAAADgaYO5GtBJQ7wHDQAA AKDDhvTVBr+BAgAAAADoriedq2l+xw0AAAAAADBYms7VKH/icDghISHFxcXDGtZg5eXlLVq0iMvl MhgMf3//kydPEuV1dXV///vfTUxM6HT6rFmzzp7tf3IiTDF13og/AwQSJEiQIEEajjRogziuRjyX o6KiYtKkSUrv9T9SCgsLQ0JCVqxYUVVV1dbW9vHHH3///ffES+Hh4S4uLg8ePOjo6IiPj//iiy9G NlQAAAAAgEEZ9G+g5ubmMTEx9+7dI0sOHz7M4/EMDAwmTJiQl5dHFIpEojVr1nC5XC6XGxkZKRL1 3yuLQqFopb6sXbt2xcbGrlq1ytjYmE6n+/v7//pr/w2pb926FRsba2VlZWhoOHv27HPnzqE/D6oR hwnJUfbv3+/g4EA8kF4qlW7ZssXS0pLJZIaHhwsEAqJaeXl5WFgYh8Oh0+mhoaHkk8spFEpCQoKJ iYmNjc2ZM2d2795tZmZmY2Nz+fJlooKqDuXGBaQR/18PJEiQIEGCNBxpCAY9RWhpaUlISPDxefxY xszMzOzs7La2tmXLlkVGRhKF27dvr6+vLykpKS4urq6ujomJ0W59WRkZGcuXL1ca7aRJk7Zs2VJe Xi5bSNyFnzhMSBbeunUrNzcXwzCEUFJS0u3bt3Nzc/l8PoPB2LRpE1FnyZIlGzZsaGpq4vP5Hh4e so/mbGpqqq2tTUhIiIiI4PP51dXVCQkJZAVVHcqNCwAAAAAghxIVFeXtO548RLQkbLHS5xaQh6BY LJa/v//BgwfHjh1LlLe2tpqamiKEuru7uVxuX18fQsjOzi4zM9PNzQ0hVFxcHBQUVFtbq8X6smg0 Wm9vr56enmycxDysvr5+x44dFy5cEAgEISEhe/fudXBwIKrJTtQoFEpdXZ2trS2xyOPxUlNTiQeZ 8/l8X1/fxsZGuUG7u7t5PB6x3cgge3t76XQ6mWez2US0qjqUG3f0GfJzC9raH2nluQW7dibs2Ln9 yfsB4Dnh5jy2pPzBSEeBkG5EokkMuhAneIbQDRlcI5MBn1tQVNT/obKwtFDy3ALiYJPc4yBlXsK7 urrS0tKIiRqBmEghhJhMpkQiIfJ8Pt/Z2ZnIOzs78/l87daXZWpq2tLSIhsk+ZKtre2xY8fq6urK y8udnJxeeuklxeZkTTJfV1fn6elJo9H09PSsra3JiWxOTs7MmTPZbDaFQmGxWOSgZJCGhoayeTJa VR3KjTv64DiO8P43RQbCkWLh41cRcaAYf5wOH/qyrraOyEsk0o8++FgqxYjFutq6w4eOyFaWTQgp L1eadu1MkMtAgvS8JVW7jJvzWDWLGqaCAvq8IGfF/KAi0YWtoWtxQnq20p+fGZXfgbjCFGy4TpOy srKqqKgg8uXl5ZaWltqtL2vWrFlnzpxRX8fc3DwuLu6PP/7QpEMbG5uqqiqJRCKVSnEcJ3+gXLFi xdtvv11XV4dhWEdHh9IZ7aA6BBry8va6d6+AyDc0NPb0iBrq+4903ruX7+XjpZVRYmLhCBwAwyjj CjswqEsxDwBQb7jmai+99BJxaldTU9P69evDw8O1W19WTExMTEzMDz/80NnZKRaLr169Sr60ePHi q1evikSilpaWpKQkPz8/otzY2Pjhw4eqOly7dm1kZGRZWZlEIsnPzyeD6enpodPpdDq9oqJC6Zlz g+0QaMjLy/N+YRExx62trtHT06utqUEIYRh2v/C+l5cXhmFX0q/s/WjfnqQPTp74VSwWk21zsm/s kYkyFAAAIABJREFU+3j/nqQ9KadTpNL+I51lpaWHD32ZGJ/06Sef3sntv2AlPi5B9i+RIUZR1TkA o8+PPxgHznIZ7+Hx4hLe/SI6QsjdZSzxl8zILhL5o0fMpr/g5uvlvmWTjVis/KZImRmP52dkXk1b xUgQQr29lG1brSf6uk/0dd++zbq3l0LGoJX6ShUU0Gf6u379XxOEkFhM2fy+ja+Xu/9U12NHTck6 Uina+5HFtCluPp4eG96xFQqVfL2qCeY/X5nOCnD1cB2LEBKJKO9v7B/i6BEzcjuD59ZwzdUSExOt rKxcXV1dXV1tbW0TEhK0W1+Wr6/v6dOnk5OTbW1tTUxMYmJiTp8+Tbz05ptvxsTEGBsbu7i43L17 98cffyTKN27cOHnyZFV3Wdu8efOMGTOCg4OZTGZERMSyZcuI8uTk5OjoaBaLFRgYGBAQoHmEqjoE cigUCo1Gk0ilmBSTxTEyMjY1Li0pxTCsuqbG18+3qroaw7CS0lJTU1MOh339WnZ9fcPqNas3RK+n 0WiX0y4TDRFC1ZVVa/615q11b3cJhRnpV4nyU7+dmTVn1vubN7668tXamlqyMoZh22K2IoS2xWzd FrOVKFfVeXxcAgbA6IIQunWT+cPPFb/nPpw7T7B9mxWGYQ9KihBCD0qKHpQUKS4SrX6/xThzruxy RmlLi96BfeZEubvLWLLn5mZqZYX+xElCubyqtkojwTBs317zJj4t9XJp6qXS+jrafm3Xl9saGIZd SWf983WHHTsbXl3ZimHY/r3mj1r1LmeUnk4pv5HDJOpgGPbFIbP8fPqvp8uzbz40NMQ+3GOh2KGa YO7m0X89XXa/uAjDsP37zAUCanpmyZlzZX/8TieHAKMBLpVIpTQabVD3edV0rqbq9z65cnKRwWAk Jyd3dnZ2dnYmJyczGAzt1pczderU9PT0rq4uoVCYlZUVFhZGlC9atCgrK0skEnV0dKSkpJAnuW/b tk0gEJC9yXVLpVK3bNlSWVkpFovz8/PJs9yWLl1KHBurqqpat26d0uZK86o61PxX1OcHVY+KYThC mNxlzl5eXgUFBQjhdbX1ATOm19fVIYQX3Mv38vFECM/Ly1sQMt/IiG1goB8UNOfBg4fkxdHzFsxl sRgsFmPe/ODCwgKinEajdQkEQmG3EZezaEmozJXUchlcfecjfek3JEhaTyg2rt7Kqo/BkK5e3VJU SCfL5arJLW7d3mBm1mdm1rd1W8PZFCPFallXWdP9hTQaJpdX01ZpJOdSuFu3NZiZ9ZmZ922PaTin 7fpy6/X9dyY7ttt8ebQqeG4nUXg2xag/YPO+bdsbyHU8cdw4JrbB2lrMYkk3vsdPS+ModqgmmM1b G0xNJcTi+bNGm7c2mppKTE0lW7Y2wj81oylhGIZjOFVvcEfK4NntQLdQKRQcl+KY/DR27PixGVcy GxsbjYw4HCMjDofTyOeXlZaHLFyAIyToFBw5fASh/hM2KRQK2dzI2JjIc42Nu7qERH7535ZnX8/O unqNbmg4d8FcN3c3ojLZSnZ0VZ1vjdkiFyQAo4ARV0p8sA0ZmFRKUbpTKC7a2vcRJXYOfc3NNCJ/ v6SQrJZxhTMnSIAr5FW1VRVJa6uenUN/fXvHvpYWLdeX89+vzJYub/fy6SFfbWmhkQHbO/aRm4Lf SFsc6oIQwnEKhiEKRX4TqQ/GwlIiO4SNbX81W/vHQ4BRAMcRhkupg3x4EszVgA6hUCgUKhWXYjhC cv9wshhMe3v79EtXnJwcKThydHJMT0t3dHJkGDIQjths9muvr+Jw2I8b/Nm8s63dxNQEIdTZ1sFi MYlu7WxtVqz4G47jZWVlZ8+e3+DWP1cjB5UdXU3nAIw+crue0p1CcbG+Rt/RSUxkzM0lcq9KJJSb N1ixOxso+F/y6tsqHdHMTErWr63WNzOTare+nG+/r1z5Ko9rJF39z/4L/83NJWSHddX6ZENLS8lP v1RYWcncVUqhQw2DMTOTNtTpOzj0bxNVsYFnE45jGIVKHZbfQAF4OqgUCvbnnT3k0niv8ZWVVY48 RxzhTjynysoqL6/xxEsTJk04d+78o7ZHUkzKb2769ddTRDlC6NLldGG3UNgtTLt02dPLkyj/7bfT zc3NUkyKI4T33/0DRwgRGUO6YUtrKzmuqs4TE3aP9KXfkCBpOZF7gdwix0haXmFAlsstIoR277Zu faTX+kgvKcl68ZIOonyse/8e9/vvTN4YsalZn1xeTVtVkYQu6khMtG5p1Wtp1UtMsFm4qF279cmY iUIra/G335efOG785ZfmROGixR1EwC2teomJ1mTDl15+FLPdpqpaXyJFD4sNozbYK3aoYTALF7Xv 2W31qI36qI26e7e13KuQnumEcBzHcDiuBp5tFKoehjCEEI7J/0fS3c3V0NDQ3s4Ox3B7Ozs6ne7i 4kpUmz5t6g2E//DdTwKBwMzMNCDAn2xub2d35Mtj4l7xuHFjZ86cQZS7ubqePPFrW1u7qanpkrDF ZGUiM23q1P8k/1csFm/Zukl954pBAvCsk/tUE4tvvNHyt2Uu3d3Uogf5iosIoYkThUsWuXYLqSEh HW+va5TbRzKusGfP7lTMa9JWLpL16xsT4m0XzHVHCC0I6XhnPV+79eXKcQy3MO/7+tvy11Y5S/rQ m/9uWvdO485Yu+A57kwW9sYbLVlXOUT9f/6z6RiyeH3lmKYm2pgxvWvfbFLsUMNg3lnPj91hFzTb g8nCVq5svZbFhn9qRhMpwihUvUE1kX9uweIli8pKy5x4Tr5ek4YhQvB8uVtwu7qq2tnFWbawrLQs MHBuczNf8bkFGIY9am11dx8nFAr6lN33GACgg8Z7eBU9LFBTIXS++74D1ePGi+TymrR9zpWXG65d 45SWXjzSgQDt0KfpM1nskuL7pmZmio8CZzJYZmaWmZmX79//y3MLhv24mtzTnHRtIK2ENxzr+NS2 m06hIAqiUDEcQwjhCO4YDMAzQ/0Oez7tAfrz9C3ZvCZtn08fJNm++TZfLKZ8uMc6aG4nbKJRA8dx HMMQhUpBg/gZ9On9Bqr4CM5hmos8n7Oc0QHHcSqVQpyuBufSAvCUjR/rM+S2nh4j03YU++ZrcyKT dZXzzX/Nix7cG9l4gJbg5Ded5tO1ETtfbfimUzBRe6ZRqVQcw3C41BKAp64QZgM6DP5JHDUwHFP8 9VM9TWtTKJSEhAQTExMbG5szZ87s3r3bzMzMxsbm8uXLZAW5+oqLFAqFLJfNqO9ZKpVu2bLF0tKS yWSGh4cLBAKivLe39/XXX2exWNbW1h999JHi0OXl5WFhYRwOh06nh4aGyj4xXdaHH35oZWXFYrHe eOON3t5e9W37+vqio6MtLCxMTEz27t0r19Xt27ft7e0/+eQTNWFTKJTDhw/zeDwDA4MJEybk5eWp X53nCwVRqVSMfIQ7AAAAMIpgGI5jOJVKHcxPoIO5Z0dTU1NtbW1CQkJERASfz6+urk5ISIiOjtak LfHVi6v4Dlbfc1JS0u3bt3Nzc/l8PoPB2LRpE1EeExPT3NxcUVFx9+7dK1euKHa7ZMkS4hmjfD7f w8NDVahZWVn5+fkVFRV8Pn/Hjh3q2+7cubOwsPDOnTsVFRW1tbWy/Zw9ezY0NPTzzz9fv369mrAR QpmZmdnZ2W1tbcuWLSOfKzrg6jwniONq8H9IAAAAow+FguODP66m6XWgFAqltbXV1NS0t7eXTqeT eTab3dfXh1SfjqaYUaygvmcej5eamurh4YEQ4vP5vr6+jY2NCCF7e/vMzExXV1eEUHFxsYeHh9KB CN3d3TweT/HQGoVCKSkpITopKSkJCgqqqalR09bBwSE9Pd3d3V2uk88++ywpKenUqVNTpkwhClWF Ta4v0TOXyyVWU9XqPNOGcB1oT0+PhblFr1gsxaRPMVIAAABg2OlR9QwMDFpamhkMhubXgRL1cJKa AYjphaGhoWxeoo0bK6jvua6uztPTk0aj6enpWVtbk/OtxsbGMWPGEHlnZ2fFbnNycmbOnMlmsykU CovFamlpUTo62cmYMWOI6ZSatg0NDUrH2rdv36pVq8iJmpqwyXVECDGZTHI1B1yd5wSVQsVwOF0N AADAKIT33wt3gONqj2dlOI60eG0BjUbr7u5mMpkIodbWVm11ixCysbG5ceOGnZ2dXLm1tXVFRQVx IKqiokKx4YoVK/bu3RsSEmJkZCQQCLhcrtL+yU4qKyutrKzUt7WxsSkvL5c7roYQunr1amBgoImJ yXvvvac+bFUGXJ3nAYVCoepRMSmG4ziCez8CAAAYZfQQhmFUvSd7xpQmB9iU8vX1/fjjj7u7u+vq 6tauXatYwdjY+OHDh4PtFiG0du3ayMjIsrIyiUSSn58fHh5OlL/88svR0dHNzc1NTU0bNmxQbNjT 00On0+l0ekVFBXlamCKik+bm5qioqIiICPVtV61atW7dutra2vb29qioKLLc3t7+6tWrycnJu3fv Vh+2KqpWZ1Bvp67BVVD/EoZjSp8xBQkSJEiQID3bCcf67yGq9vtR7stUa88DPXr06KlTp7hcbkBA QFBQkGKFjRs3Tp48eQgzj82bN8+YMSM4OJjJZEZERCxbtowoj4+PNzExcXJy8vb2njNnjmLD5OTk 6OhoFosVGBgYEBCgqv8ZM2Z4eXnxeDwzM7Ndu3apbxsbGztu3DhfX19nZ2dHR0fZfmxtbTMzM7/9 9tv4+Hg1Yasy4Oo8J6hUCobBXR8BAACMQjiOYxhGpQ5uLkRcWzCOz5e/tsDPe/IwBAmeL3n5fyi9 tiAoaF5TU6PitQUIIQzDaDTa0A7uAgAAALqMuHmZRCJReikok8EyN7fKyLhEXltgaWlRcO8BPLsd 6BbiMl6YqAEAABh9yBtWDKqV1n4DBUAr4BFhAAAARjEcx2GuBgAAAAAwesBcDQAAAABAd8FcDQAA AABAd8FcDQAAAABAd8FcDQAAAABAd8E9O4AuwnFcKpX29WnhabMAAACALtDXp+np6Q3hoQAwVwM6 RyKRSKWYkz3P1NR8pGMBAAAAtOPRo9bKmnIaTY9GG9zsC+ZqQLdIpVJRT++USVN7RD1NTQ0IIURB CIe/8Bf+wl/4C3+f7b8ctpGf96Q/cm8ymAw9PT3NvxlhrgZ0i6Cry3WMW4+op7mFP9KxAAAAAFrT I+qxtLB2tOeVV5cZc7maN4RrC4AOwTCsSyAwN7cUdHWMdCwAAACAlnUKOiwsrLoEAgzDNG8FczWg QzAM6xX1ikTdGIaPdCwAAACAluE43tPb0yvqhbkaAAAAAMAoAeerAd2EIwSH1gAAAIwyQ/lqg7ka 0EkwVQPPgdjYuLi42JGOAgDwFA3pqw3magAA8DQc/OQzhNA769/Wes/q53wNjY3p6Veqq6qlUqmN jY2///Tx48chhDo7BRcuXCwvL+/r67O3s5sxM8Dd3X3A3gAATx/M1YYXhULB8UHMogdbf7j7AQBo RU11DYVKQQjV1NQ4ODg8tXGbm5q+++b7efPn/u3/ltNotIb6huycHGKudvz4CSdHh0WL3mIw6DU1 tdezc4i5GgBA12g6VyO/+9VMAmB+MExgwwLwrMvLuzvBzxdHKC/vruxc7fr17JycG2Kx2MvLc8mS RXp6NISQRCI5f+58QWERQsjLy3PhwlDiLudyR7yIxdjYOCKPEFI8HpaZmTUncJafny+x6ODoEO74 EpGvra1dufIVfX19hBCPx+PxeGQ/sr3FxsaFhMzPybkpEAh27tyBYVj6lYzc27l9fX0eHu4vvhhm YGCAEHrU1nbxQmpFRYVUKnUeM2bZ8qUsFotoHhQcmJN9g0ajLQlb3NzUnJ2do6en93//t8zZ2Rkh pKpDuXG1/YYA8CyRvw4Ux3Gc+DN4MJ8AcnClEI4QwlW8iKP+jxEOCdJoSRKppPB+kbevj4+vT2FR kUQqIcoRQlVVVf9+680NUeu7hML09EyiPP3Klc6urnfWr1v3ztsdHZ1X0jPI+rLdEos742IRQjvj YnfGxSoOXV5RMXbcOKVR2dnaXrqc/qitTbZQsTeEUE1t3do3I2N37sARunbtekN9/do3//Xe+xtp +vppaZeIaj/88OO0adPee3/je+9vNDU3u3gxjWze1SWMfjc6KCjw5ImTgq6uqOiooKDAixdSiQqq OpQbFxKkUZPUfAOiP1+V+zId3D07iAeOUigUpU8eJQsvXLjg5eVlYGDA4/GOHTumtOb+/fsdHByo VCpCSCqVbtmyxdLSkslkhoeHCwQColpfX190dLSFhYWJicnevXvVFIpEojVr1nC5XC6XGxkZKRKJ yIESEhJMTExsbGzOnDmze/duMzMzGxuby5cva1hBVWwUCuXw4cM8Hs/AwGDChAl5eXlEeW9v7+uv v85isaytrT/66CNylVX1o6q+mm2uamWVUjVueXl5WFgYh8Oh0+mhoaFNTU137951cXF5/FnBcRcX l3v37qnqAQCgofsPHtra2BgZGRkZGdlY2zx48JB8KSQ0hMVisViskNAF+fn5RGH+vYKQ0AUsFovN ZocuDL1XkD/koUUiEZPJJPI7Y+OIRCz+PXxFn7jvq+T/JCXuPv7Lic5OlTegXhCygMlkEfnc3Duh CxcaGRkZGBjMnRt8v+gBUf7WW/8e48zT19en0+lz5waXlpaSzQMD5xgY6Pv6+YjFfXPmzCbyzS0t 6juUGxeA59ng5mrEF7ns7E+plStXxsXFCQSCrKysmzdvKq1z69at3Nxc4l5wSUlJt2/fzs3N5fP5 DAZj06ZNRJ2dO3cWFhbeuXOnoqKitrZWTeH27dvr6+tLSkqKi4urq6tjYmLIgZqammpraxMSEiIi Ivh8fnV1dUJCQnR0tIYVVMWGEMrMzMzOzm5ra1u2bFlkZCRRGBMT09zcXFFRcffu3StXrpCVVfWj qr6aba5mZRWpGnfJkiUbNmxoamri8/keHh7R0dG+vr7GxsZkDOnp6SYmJj4+Pmq2AABAE3fz7vr6 9v8K6TvB927eXfIlY2NjImNibNLV1UXkhUKhibFJf7mJsbBLOOSh6XR6d3c3kSeOlpEvGXE4YS8u eXdj9Iao9cZc7i+/nFTViRGHQ+Y7OzsPfX5oV1x83M5dH3+0V9jdH1tNdc1Xyf9JSkzaGRuXmJDU 09NDNmEwGAgh4uddMk/eCFRVh3LjAvA8G5ZrCxgMRkNDQ3Nzs6Ojo9Ljagihffv2WVhYEPnk5OTU 1FR7e3uE0J49e3x9fQ8dOoQQ+uabb9LT04ny/fv3E5WVFv7444+ZmZmWlpYIoYMHDwYFBZHHqHbu 3MlisV555ZV//vOfO3bsIPJr164lI1FfQVVsCKFDhw6ZmpoihDZu3BgfH08U/vDDD2Qkn3zyiYeH h/p+VNVXQ83KKlI1bmFhIVGBwWAkJSURp6q88cYbR44cCQ4ORggdOXLkjTfeUL8Fhg95oBiAZ11X V1dZaVlJccmvv/5GlFCpVEFXF5vNRgi1tbcT/4y0tbez2CziY89kscjyR23tTFZ/OZVKFff1EWeY 9XT3IJndRNX+wuM5PXxYPHHSRNlCucoMJnN20Jw9SXtU9Sa7yGZz/rlmNceII/fqL8ePL1iwwMXV xdDQUCwWq+pNMa+qQzUrBcDzZlieW3Dy5Mm0tDQ/Pz8XF5eUlBSldWxtbcl8XV2dp6cnjUbT09Oz trZuamoiyhsaGoiTT2UpLeTz+WShs7Mzn//4sd/Ev3eGhoayeYlEomEFVbGRlRFCTCaTrN/Y2Dhm zBgykgHXUVV9NdSsrCJV4+bk5MycOZPNZlMoFBaL1dLSghD6xz/+cfHixZaWlubm5tTU1IiICPVb AAAwoIJ7Bd4+3rFxsWTy9fMt+PPnztSLad3dwu5uYeqFVG9vb6LQy8sr9cJFoVAoFAovnr/g5e1J lFtZW+dk5/T19Qk6BSkpZ8kh6HR6S0ur0tFnzp6dkZ6Rfy+/t7dXKpVWVVaSL/34/Q9VlZUSiaS7 u/vatWs21tYD9oYQmjxlckpKStujRxiG8ZuaThw/QZRL+iQ0mp6+Pq29vT3ljPJ/9gfVIQCANCzH 1aZMmXLmzBkcxy9cuLB69eqGhgb19W1sbG7cuGFnZ6dYXl5eLncZudJCKyuriooKV1dXhFB5eTlx zEkrVMWmirW1NRlJRUXFgP2oqq/GoFZW1bgrVqzYu3dvSEiIkZGRQCDgcrkIIWNj40WLFv33v//F cXzx4sXErzOD3QLaA/+pBqNBXl5eyMIQ2c+zr6/3xQup06ZPQwg5Ojoc+uwLsVg83nN8YNAcolpQ 8JwL5y8cPHAQIeTpNT4oKJAoDwtbdPp0StbVLCMjjv+MgPtFRUS5v//0o18eEYvFsXHy10taW1uG R7yUnp6ekpKCcGRrYxMeEU60mjRlckZ6Rm1dHY1Gc3Jy+r+/L1fd2+PgZ8z0z76Of/P1N52dAnNz s1mzZ/XH9mJY6sW0X34+zuFw/AOmFxYUqjhAJp9X1aFCZQCeX5SoqChv33F8fv/BkkWLF5aVlTk5 OU3wmfKXen/eNsLExOTmzZtKf6oj67z88ssxMTGurq6XLl167bXXmpubVdUkJCUlZWdnHzx40MnJ 6f79+4mJiT/99BNCaPv27b///ntycjKbzY6LiyN+8VRaGB0dXVxc/NVXXyGEVq1aNX78eOKyA9mB lOYHrKAqNrlVIBffe++9hw8fJicn4zj++uuvnz9/Xn0/qurLktvmqlZW6RZWNa6ZmdlXX30VEhJS V1e3devWn3/+mah/+fLlt956CyF06NAh4sdQVT1o4s6936urqp1d/nK8sKysLDhoPr+poaenW66+ RCKpqqoKDprf0dHeK1Z3zQQAAADwzKEbMjgc7pWMNCcnJ+JePLJYTLa5udWVjLQH9/uvQLK0tCi4 92DQv4Fu3Lhx8uTJSq8DJb344ovLly9nsVibNm367rvvBuxz8+bNM2bMCA4OZjKZERERy5YtI8pj Y2PHjRvn6+vr7Ozs6OiopjAxMdHKysrV1dXV1dXW1jYhIWGw6zXY2FSJj483MTFxcnLy9vaeM2fO gP2oqi9LbpsPamVVjZucnBwdHc1isQIDAwMCAsj6wcHBYrFYLBYHBQUNbQsAAAAAQIs0Pa4GwBDA cTUAAACANLTjavCMKaCT4EJQAAAAo8+QvtqG5TpQAAAAAACgFTBXAwAAAADQXTBXAwAAAADQXTBX AwAAAADQXf3XFqh/vqcaSm9UBnQZvFMAAACALpP7mtah60BV3V1W6aKOIKKSi414pkJxcbGGzYc2 yqB6GBRd2NRwGSgAAIDRZ2hfbTo0V1NvxGcPGsrJydHT00MI3bhxY/r06SMdzrMLZmsAAABGn6F8 tWl6vlp5eXlYWBiHw6HT6aGhoRo+wPvChQteXl4GBgY8Hu/YsWNEoVQq3bJli6WlJZPJDA8PFwgE CCHipvwUCoXMyC6SJUTm8OHDPB7PwMBgwoQJeXl5RHlPT8+qVatYLJa1tfWHH35I1lcagyyRSLRm zRoul8vlciMjI0UikfqB1Pv6669XrVq1cuXKr7/+miyUe8yDqnVUFYkqT9iDJm8EAAAAAEaWpnO1 JUuWbNiwoampic/ne3h4REdHa9Jq5cqVcXFxAoEgKyvr5s2bRGFSUtLt27dzc3P5fD6Dwdi0aRP6 87AZjuNkRnZRTmZmZnZ2dltb27JlyyIjI4nCmJiYjo6OysrK/Pz869evq49B1vbt2+vr60tKSoqL i6urq2NiYtQPJEs2WoRQb2/vyZMnX3nllVdfffXEiRO9vb1qNo7iOqqKRG6UIfSglCZvBAAAAABG Vv8zphob+cTy4iWLBnzGVHd3N4/HIw6tqb+2wNHR8f3331+6dKm9vT1ZyOPxUlNTiSeR8/l8X1/f xsZGxR5ULVIolNbWVlNTUyISLpfb19eHELK3t8/KynJ2dkYIlZaWurm5EfWVxiDLzs4uMzPTzc0N IVRcXBwUFFRbW6tmIDV++eWXY8eOpaWlIYTmzZsXGRn597//Xf26yJarikSNIfRANtHwjXgSQ37G VHt7GzxjCgAAwChDN2QYGRkP+Iyp+0UPiBIrK8tBPLs9Jydn5syZbDabQqGwWKyWlhZNWp08eTIt Lc3Pz8/FxSUlJYUorKur8/T0pNFoenp61tbWGv6cKouYPyGEmEymRCIh8o2NjU5OTkSex+Opj0EW n88nZngIIWdnZz6fr34gNYgfQIn8qlWrZH8G1YSaSIajhyd/IwAAAAAw3OTndPif5MpXrFixd+/e kJAQIyMjgUDA5XI16X3KlClnzpzBcfzChQurV69uaGhACNnY2Ny4ccPOzk4rK0CysrKqqqoiZiqV lZXqY5BrWFFR4erqihAqLy+3tLQcWgB8Pj8tLe38+fOvvPIKUUKj0fh8vpWVFY1G6+7uZjKZCKHW 1lY1q/CEkQyqh2F6I2ThOI4j+Y8TjuPElQNKf9V9/CMsBj/CAgD6xe9KiNmxfQgVBmwIwNMke6KR 8lOblH05anpcraenh06n0+n0iooKpWduKfXyyy8XFRX19fXhOE4el1q7dm1kZGRZWZlEIsnPzw8P DyfKjY2NHz58SLaVWxxQeHj4u+++29LS0tLSIns6ndIYZL300kvEqXhNTU3r168n4xms77///h// +AcuY+XKlT/88ANCyNfX9+OPP+7u7q6rq1u7dq2qdRxCJE/Sg4ZvhO4oLSk9cuRoUuLuzz49dDfv 7tMcOn5XgmJhbm7uryd+VSw/eeLX3Nxc7Y4FwNMRvyshOfk/ciUDNhnWeIavcwCeFZrO1ZKTk6Oj o1ksVmBgYEBAgIatXnzxxeXLl7NYrE2bNn333XdE4ebNm2fMmBEcHMxkMiMiIpYtW0aUb9y4cfLk yeTlh3KLA4qPj2ez2Y6Ojp6entOmTdPX11cTg6zExEQrKytXV1dXV1dbW9uEhCH+0/D1118vm9QX AAAgAElEQVS/9tprsiXk1aBHjx49deoUl8sNCAgICgoiK8it4xAieZIeNHwjdERNTW1KSkpwcNCm ze//45XwqurqkY4I+fj4VNVUd7S3yxZ2tLdX11T7+PgMuVs4BgBGFoNOLyosGuko+sHuAABSvLZg 0eKFxLUFE31fGNnInsSDBw8WLlxYXl4+0oE873Lv/q+6upo8hY5QVlY2N2gBv6mhu0coV5+4tmBu 8IK2tke9vX+5tuDnn34ZN26sj6/8HEjuBw5yMX5XwrwF827duCUQCLbHbJNbxDAsMzPzTm5eX1+f m7vbkiWLDQwMiFYLF4bm5OR0dgosLCzCloZZW1nJ/s9e7psj6+o1UW/P/PnzyZLU1DQGnTFjZoCq /mXDKCstvXQpvbW11ciIM2PmzAkT/GRXQSKRXLxwsajoPkJovOf4kJAFxImoSoMc3BsDgArxuxL+ tfZfJ345/q83/0XcKlL9B1LN3oEQamtvS7t4qbKyUiqVjuHxwpaGdQm6jv9y4q11/yb+N4jj+Oef Hlrx0t/0DQ3karJYLPTXPZrIKPZJ1gwODr5586ZY3Ovp6blwUaieHk22oaq9HoCniU5ncLkm6VdS VV1bYGFunZ6R+uB+/69bg7u24JkQFRXV1tbW2Nj47rvvLl26dKTDAdpUU1Pj6uYyqCZ1tXVrIldv j9mmuJh9PaehoWFN5D+j343S19dPv5xOtqqsqnrt9dfe3/Te2LFjz6WcQ39+A8Xs2K74VTR5yqTC /ELyPnYiUW9hQeHkKZPU9C8bxqlTZ2bPmb15y/srV62qq5G/YjcjI1PQ1fXW2//+91v/7uzozMy4 qiZIBL8WAS2xtLRw4vF+/+MPuXKlH0g1ewdC6Ocff5469YXod6Oi340yNTe7lHbZytqKzjCsrKwi KlRWVNIZdEsrK8WaqsJTU7O6uupfayPXvbOuSyiU3V8IavZKAHTcqJqr8Xg8d3d3Nzc3Y2PjXbt2 jXQ44Engcqm3t5dOpyuWK1QmF9H8BXOZTKbSxby8OyELFhgZcQwM9IOCAh/cf0BWW7QwhMNh6+vT pvtPa2xsVDFKf2IyGWPHedzJvUMs5t6+PW6cB5PJUNO/bBg0Gq2rSyAUdnO5nMVhi+TGKsgvnL9g HovFZLOZISHzCwoKhhYkJEiDSQghfPacWb/f+p9IJCJLkNoPpKre1r75L94YJ319Gp1uGBQUWFZW hhDu5+d75/ZtokJubq7fBF9VNf/aOVLTJ1Fh/oL5LBaTxWLOXzBPMTzVeyUkSE85Ddoz84wpTaxf v379+vUjHQXQDrmPs6GhYY+oh8lkDViTXGSzObIvyS52dgoOHz6CUP/FOBQKhXzJkMEg8jR9GoY9 vhhV1e71wrRp33/3/QvTXkAI/fHHH/949RVcbf+yYfzt73+7fu361cwsuiF9Xshc4kmy5Fjd3UJj Y2MizzUxFgqF6oPcvmPbUP4NAOCvcIRYbJbfxInXr10PnheMNPhAqvrg1dbUpqdfaWxoJG5OSewI nt7eV65kCru7EcLLysoXLl6Eq6gp1zmuuk8C15hL5I2Njbu65MNTs1cCoONG1VwNjGIODg5lpeXe Pt5y5VQqta9Poq9PQwj19PRo2BubzX599WscDufJAzM1NbG2ti4qKMIpyNrGxtTURPP+be1sVoT/ HcfxstKylJSz7tHusq8ymaz29g6iw/a2dqXzVACGydSpU45+eWzylMlkyRA+kCdP/Dpv/lxnF2dD Q0OxWPzRBx8jhOh0Qzc317t37yEcubm70emGqmpq3ifhcXjtHcRJbLK0uNcD8JSNqt9AwSjmHzA9 /XJGeVmFVCpta2s7e6b/tsaWVlY3c2709UkEAsG5s+c17G3i5Ennzp5va2vDMKypqenXk7+pr0+n G7a2qLwx3vTp027evHkz5+b06dMG1f9vv55qbm4hDowp3k/O03P8pdQ0obBbKOxOvZjq6TVefZAJ uxLVVwBAc/r6+rNmzczIyCRLVH0g1ewdfRIJjUbT16e1d7TL7p6+fr53cu/cuXPH189XfU3N+0QI XU673N0t7O4WXkq75OXtKddwsHs9ALrjSY+rafF5RNqigyGBJ2fvYL94ycL09Mstza1crtGMmTOI 8sVLFp49c/batescI46///QH9x9o0ltAwPScHPy7b78XdArMzM1m/tmbKtOmT08+9pVYLN6+Y5vS 2Gg0fSIzqP7d3d1OHD/R9qjNzMxs6bIwuVfnBM2+eDH1808/RwiN8xw3J3C2JqsGgLZ4env+7/ff yUVVH0g1e8eSJYsvpV4+cbyDw2FPmz6dvBUIbwxPKsUQQjyek/qaitTUdHCw//KLI2KxeNz48bPn yO8vg93rAdAdmt6zg7zbFpvNDggIOHjwIHFujQ5OjAYMaZhi1sFNMeKe4J4draJeeB4oAACAUYVB Z3C5psN4zw7ifMyKiopJkyZFRERoLfDRAiZqAAAAANC6QZ+vZm5uHhMTc+/ePbLk8OHDPB7PwMBg woQJeXl5RKFIJFqzZg2Xy+VyuZGRkeQNqCgUilbqy+rt7X399ddZLJa1tfVHH31Elkul0i1btlha WjKZzPDwcIFAgP48QEihUMgjhUqrEXX279/v4OBApVKJxYSEBBMTExsbmzNnzuzevdvMzMzGxuby 5ctkffUxqxqI0NbWZmFh0dLSQiz29fVZWlo2NTWp2TKyzWVHlw0bAAAAAM+0QX+dt7S0JCQkyD5C JzMzMzs7u62tbdmyZeSjQrdv315fX19SUlJcXFxdXR0TE6Pd+rJiYmKam5srKiru3r175coVsjwp Ken27du5ubl8Pp/BYGzatAmhvzw2VU01wq1bt3JzczEMIxabmppqa2sTEhIiIiL4fH51dXVCQoLs s0fVx6xmIISQiYlJeHj4kSNHiMWMjIwXXnjB0tJSzZZRRS7sZ9KI3/4GEiRIkCBBGo40eIM+X43F Yvn7+x88eHDs2LFEeWtrq6mpKUKou7uby+US97yxs7PLzMx0c3NDCBUXFwcFBdXW1mqxvix7e/vM zExXV1eirYeHBzEP4/F4qampHh4eCCE+n+/r69vY2IgUTixTU62urs7W1pbcAkQkxE1ZyTybzX58 mx8cVxOzqoFI5eXlgYGBpaWl+vr6b7755uzZs8PDw9VsGdm1kB1dNuyRNfTz1R7B+WoAAABGGwad wTUe9Plqg7gOVNX5WMSkBCHEZDIlEgmR5/P55De0s7Mzn8/Xbn1ZjY2NY8aMIduS5XV1dZ6enkTk GIapehi5mmpyMx4iEkNDQ9m80pCUxjxgPM7Ozi+88MKJEyfCw8MzMjL27dunfsuooiMTNQAAAAA8 ueE6pcnKyqqiooLIl5eXW1paare+LGtra7ItmUEI2djYVFVVSSQSqVRKTI+UNtew2pPTZKCNGzd+ 8sknN27cmD59OoPBQKq3DI1G6+7uJvKtrSpv/fUsG/Hj1JAgQYIECZJ201AM11ztpZde2rBhQ1NT U1NT0/r168PDw7VbX9bLL78cHR3d3Nzc1NS0YcMGsnzt2rWRkZFlZWUSiSQ/P5/s09jY+OHDhwNW 0zpNBpo6daq+vv7WrVtfffVVokTVlvH19f3444+7u7vr6urWrl07TDEDAAAAYGQN11wtMTHRysrK 1dXV1dXV1tY2ISFBu/VlxcfHm5iYODk5eXt7z5kzhyzfvHnzjBkzgoODmUxmRETEsmXLiPKNGzdO njyZ/AlSVTWt03CgjRs3lpWVkSuiasscPXr01KlTXC43ICAgKChomGIeKSP+Hx9IkCBBggRpONIQ aHptAXhqvvzyy/Ly8g8++GCkA9GCIV9b8OhRq6hX04d7AgAAAM8EBp1pPPhrC+AWXLqlo6Nj//79 69atG+lARonE+KSRDgGAZ8lYtwEeOwvUOHfWKGC6+3Bsw6H1Ce/mqCE/V8NxHOFwC/6RQaFQTE1N 3377bXt7+5GORTtwHO+/l50M4hCwQrHMqziSO2Z85Muj9fV1RF4qlez9eB+GSYnF+vq6o18eVXuw WdMj04nxSXIZSJCev6R8lxnrNl7NooapqNBwwTxXxbzmaWjjPrX00QdWn31e86Ck8Km9L0NopVPb cGgfg2c+EX9UfQkSb9pfPemz24EWwRRZFS+v8fn5hcS9SBobG0U9ooaGRjs7W4RQ/r0CT29PrYyy LWaLVvoBACiVkcEJDBQo5kcNPl/fb0L3SEfxLBmVH4PhAL+BgmeAp9f4+4X3ibuc1FbX6unp1dbU IoQwDLtf9MDL0xPD8Iwrmfv3Hvhwz0e//XpKLBaTbW/k3Dyw75MP9nx09sw5qbT/XndlpWVfHj62 O/GDzz49dOfOXaIwMX637F8igxBS0zkAo89PP5oGzXH3Gjd+WZjL/ft0hNBYN0/iL5mRXSTyx46a B0zz8PMZt3WznVis/GaWVzM4c/78YibzIhF18/t2fj7jAqZ7HDtqTvaZdZW9eKGr17jxQXPcj/9i omrc//7HbM5M93HungghqZSy72Mr/6keft7jojfYC4X9X3A1NQZv/stxou84H8/xa1Y7tbbSyOZf HLJ4YdLYGf4eV9I5Rw6bT508doa/R04Oi6igqkO5cclCHEfj3B9vJU1iU1UuFlO2bOrfLMnHzMlR VNVX3FyyCgsYs2e4f/O1meI27O2lxGyznTxh3OQJ43Zst+3tpWj+nqppK7vuqt5iuY8EUAPmakCH UCgUPRpNKpVIpZgsDsfIxMS4rLQMw7DqmlofP5+amloMw0pLy0xNTdgcdvb17IaGhjdWv/7OhnU0 Gi39UjrRECFUXVX9zzWr33rrzS6hMPNKFlF+5nTKzFkzNr4f9corEXU1dWRlDMO2bNuEENqybdOW bZuIclWdJ8bvxgAYXRBCt24yv/+x7NYfRcHzOmK22WIYVvQwHyFU9DC/6GG+4iLR6vf/MU+nlFxO f9jSovfJfguifKybJ9lzSzO1otJg4qQuufwn+y06O6mXrzw8nVJy+w8GsRtiGLbpPbu31/H/uFP4 7XdleXcYqsa9m8c48Vtp4YN8DMMOf2FWUEA/+VvptZz7hobYRx9YEtXWRjquXNVy/cb9azn3eTzR 7kQrsnlLi15G1oP1GxrfjbJvbta7cvXB+g2NexKtiQqqOpQblyAXnoaxqSo/sN/i0SO9y+kPT50u uZHDJDeLqvqKmwv789+0K+msNasdY2LrX3m1WXEbHthnyefTLqY9vJD6sL6OdmD/43VU+p7KUtNW dt1VvcWyH4PnhxSTSqUSPRpN1f35lYK5mq6TfSj7yEbydOhRqRiG4wiT+4Hf02t8QUEhQnh9XX2A /9T6ujqE8IL8Ai8vT4Twu3l3582fyzFiGxjoz5kz6+HDkj8bornzgpgsBpPFmDs/qLCoiCjXo+l3 dQm6hd1GXM7CxQvIygoZXH3nI3/eAyRIWk5ox85aKysxgyF9443m+0V0slyumtzilq11pmZ9pmZ9 W7bVnz1rrFjt6lX29OldNBomlz9/jrtpS72paZ+pad+mzfVkE0M63tys1/ZIz8ZWHJ9Yo2pcoi2x ePK4ybaYOitrMYsljX634dIlLlGecu7h1GkCOl3K4Uiiohtzstlk87fXNTIY0iVhbT091H+/zSfy ZWWG6juUG1fFZtEoNlXl51KMiU1qZt63dfvjzaKqvqrN9cP3pjt32B0+UhkU3KF0G547y92yrb5/ oJj682cfr6OK91SjtrLrruotlv0YPD8JwzAcw/Wog5t9Dcv5aqoeVal0cQQNdyQ6u+K6jEKlYDiG Y/KbymPs2MyMq40NfI4Rh835f/buO76J8/4D+KM9PeSBJ8abGLOXB2aYYWMIIQk0IfmlIZMkTTNI 06ZNm3QEstqmSZqdpk2TNIsR9jAGG/CGAAEDNtiywXvKtizJtqR7fn+cORQtZMdg2f68X/fS6+7R c8/zfZ7nZD2+O0meSqWyoaFJXVGZvnQJpUSr7frXR58QQtgPM/B4PG53Ty9vdt3L00vXpWPXb7/9 1ry8/NwjeRKJZPGShdEx0Wxmbi/L2h0V/tvnf4PxhJHH09PMHtgSKWM28+y+KGw3g0OMbEpISG9L s5BdP1t6msuWk+25ILWT3bRcb2kRBgX17RscYuRKfuvtS++/N+bdfwYqPcy/e75uQWqn3Xr9/Y1c SmOj6JblsYQQSnkMQ3i8vsynTsr//reg8+dkBgOfkKvpXGNFImq5zrXaUYFW9TrqFldic5Te0iLk ujQ0tJcr2VF+R9316X/8V96qiZ+otwzMcr21VRgS0stV1NIi5J61O6aWnOxr2XZHQ2x5GIwelBIz ZXj8/p18GYLPFoza+cqobbjreDwen8dnzGZCrvz7d4VcJgsJDT10KHvc2DBCSdi4sEMHD40NGyuV yAglCoXy3rX3eHgor+5wZfeO9naVSkUI6WjvUCjkbHpQUODq1bdTStVq9Z7d+554MtpqL8vanRQO MAJRB5uO0gkhhNTWiMLCetkVPz+T1bMmE6+wQPnii7WE/midEOLra6qvFYWO7duXK3niRP2771VR So4e9Xjh92MPHz13zTD8/U1ffl0eEGC0evaZp8f9+rn6lBStUmnW6QQJs+LtN8pm3VGBdsJwXIjz 2Byl+/mZuC6tqRZfM7+j7vrss4r71kZ5epofeLDZbmC+vlcrqr4s9vW9OnbOx9T5vlZV2A6x1WEw ilCGYcx8Hv+6XAPdu3fvxIkTxWJxeHj4v/71LzbRbDb/7ne/GzNmjFwuX7NmjVarJVcu1fF4PG7F cpP8+KLeBx98EB4eLhaLp02bdurUKTbdYDCsXbtWoVAEBga+/vrrXH67MVhSq9W33HKLh4eHVCrN yMhoamqyqtFy0zaw7u7uhx9+2MvLy8vLa926dd3d3Vz+DRs2qFSqoKCgHTt2vPLKK76+vkFBQVlZ WU7qddJwo9H4zDPP+Pv7q1Sqv//9786Dt6TRaPz9/VtaWrhyxowZYzfn8MXj8xhKKWUoexrLYpkw Ie5S1eWx4WMpoWFhYy9VXY6Pj2OfmjZ9yr69+zSaNjNjbmpu2rZtB5tOCDl4MFuv1+n1uqysQ3FX 8m/fvrO5pcXMmCkhXF2EEHZFIpG0trZy9Toq/NVXXrcNEguWYb1wrwKrTQ8Pc2WlmEu32iSEvPZq cFuboK1N8Oorwctu1rDp8XGT2ZVjx+URET0qX6PVOiU0Y1n7668FtWkEbRrBa68GczU++6uw8gqJ 0UQoJWaz/TCsor1zTcufXgy5fFlkMpMLFyS/eiaMTe/u5ovFjFhirqkR/fHFEG4vy93trjsq0DIz 10YnBTopylF6xvJ2tktbWwWvvhx0zZDsdhchZExg76efl2/Z4vPRR/52+3BpRvsrLwe3tgpaWwWv vBycsazdxTF1vq9l2+0OsdVhMIoWSihD+3tezdW52r333vvnP/9Zq9UeOXKksLCQTXz55Ze///77 EydONDY2ymSy5557jlw5e8R9TYjVppWcnJy8vDyNRnPbbbetW7eOTXzhhRc6OjqqqqrOnDmTm5vr PAZLK1asYH86s7Gxcfz48c8884yTFtkG9oc//KGuru7ixYsXLly4fPnyCy+8wGVuamqqqanZsGHD 3Xff3djYePny5Q0bNnDl263XScP/9Kc/nT179uTJk5WVlTU1Na4Hr1Kp1qxZ89FHH7Gb2dnZs2fP 7tfv3Ls/Po9PKUMIoQy1WqKjo8QSSUhwMGVoSEiIVCqNioxin0pImB0SGvL1V9/+/a//2LF9V2xM NJtOCAkJDv7Xx/95790PZVJpypyUvqKior7buu2Nv72Zc+jw8puXcZnZldmzZ/33089fe+Wv1yzc NkgsWIb1YnVUc5v33d90x+rYiXFT7G4SQqZN61q5YvySRXHeXqbHH2+w2v1wtue8+Z2265Shv3yi XiZnFi+MW3nz+MmTdUJhX3pqasdTT4TPnDbpjb8FvfLaJUf1Wkb7wION06brHrw/asbUSb9+dtyi Re1s+l9euvz6q8Ezp0+6f23UtGk6bi/L3e2uOyrwmju6Hpuj9F/+st7T07R4Udytt4yfOavrmiHZ 7S52L3+/3v98Wr5zu+qD9wJs+/DJJ+t9fU0Z6XEZ6XH+/sYnnqh3cUyd72vZdrtDbHUYjJ6FEMJQ hs/r3/1q1r8xtWx5hrpCHTYubMbUBMt8YWFhv/nNb2699VbLr2kNDw/fv3//+PHjCSGNjY1Tpkxp aGggLt+vxuPxWltbfXx8CCF6vd7Ly8toNBJCQkNDjxw5wv4wUXl5eUxMDJvfbgyO6PX68PBw7hSX owAs00NCQnJycmJiYgghFy5cWLhwITuR4uLs6emRSqXculKpZAPub71jx449ePBgbGxsv4JnV9Rq dWpqanl5uUgkeuyxx+bPn3/9fmz+p/v+VFH15csRP/6NKXWFevGi9IbGOtvfmGIYpq2tLW78BG2X 1miy7lsAcE+TJkw5c+4HJxluzrjpr29cioszWK1bqVRLHns0cl/m+esVKLjsmmM6MNwQOzkMRjaR SKRUeJSWnfPx8eHbfMJAIVeO8Q86eGh/aam935j60Rfm2rNly5bMzMypU6dGRUXt3LmTTaytrY2P jxcKhQKBIDAwcAAX49iJGiFELpebTH3ffdXQ0DBu3Dh2PTw83HkMlvLz8+fOnatUKnk8nkKh4K4V uqixsZH75crIyMjGxkarOCUSieU6F3B/662vr7f6iUzXC4mMjJw9e/bmzZsppdnZ2StXruxXG90c e8nYTCkhlBIGCxYsw2IhhDjPsHPvuZvidLbr7PLaq0EdnbzmFsFfXw9euKh9yJuDhbowpv1abIfY 9jAYJQuhlGGo5f1RdlnNylz9bMGsWbN27NhBKd27d++DDz5YX19PCAkKCiooKAgJCflJ7882AgIC Ll26xM5mqqqqnMdg6Y477vj73/++dOlST09PrVbr5eXFpguFQr1eL5fLCSGtra1O6q2srIyOjiaE qNVq168tOqrXkaCgILVabXVezfVCnn322aeeemrcuHFJSUkymczFIIcFSimPx6eU4X6KCgBumMnx 0wa+74SB70sI+eKzvr+3R494fv7fEXVfx/D1E8fUipMhPn325CBW5OYopZQyPB6f/VYBF/dyda52 1113vfDCC9HR0ZRS7nzSo48+um7durfffnvcuHHnz5/fuHHj119/TQjx9vYuKytjr43abl7TmjVr fvWrX3388ceEEMvbtuzGYMlgMEilUqlUWllZ+fzzz3PpU6ZM+dvf/vbss89qNJqnn36aS7cK7M47 73z66af//e9/E0Keeuop168tOqrXUcPXrl37xBNPfPLJJ0ql8s9//vM//vEPJ4XYSkhIEIlEzz// /IsvvjjyvgdEwOdRhqH4qCXADffDaHrLBPcx2v7aM5QRXKfPFqxcufL2229XKBTPPffcF198wSb+ 9re/TUlJWbRokVwuv/vuu2+77TY2/dlnn505cyY3YbTavKaXXnpJqVSGhYXFx8cnJiaKRCInMVj6 5JNPnnnmGYVCkZqaOmfOHC79448/3rZtm5eX15w5cxYuXMilWwW2cePGgICA6Ojo6Ojo4ODgDRs2 uBiwo3odNfyPf/xjXFzclClTIiMjw8LCnBdi17PPPltRUbFgwQIXIxxGeHwBQxlKGR6hWLBgwYIF y0haGIZShuHxBf17Z2Q/W1Bf38BuL795md3PFgyV0tLSZcuWqdXqoQ7EvXz44Ydqtfq1114b6kCu YQCfLTDo9QEBwT09Bu63OwEAAEYGgVAoEcsaG+tkcrmTzxacP1/KpgQGBpScLh2C78J1xfr16198 8cWenp5f/epXt95661CH4146Ojr+8Y9/cN/uNtLw+JSacbsaAACMPJQShppJP7+zw01/DzQ8PDw2 NjYmJsbb2/svf/nLUIfjRng8no+Pzy9/+UtXvrhkOOLzeQylhDBDHQgAAMAgY7/rne/+vzHliqee euqpp54a6ijc0Qj7JIEVHo/H5/MZM+P8G2QAAACGJUoZhuHzr89vTAHcGDwej1KGkv79zwEAAOD+ KGG/s+P6fA4U4Mbg83kMw4y+D3EDAMDIR/vOq2GuBsMWj8fj931nB+ZqAAAwAjGU4fMF/Tq15qb3 q8GoxX67L+ZqAAAw8nA/8N2vvaznatf8YVAA17GHktXhxG46OcwYBh8CBQCAkYl7E7TzFLH/FK6B AgAAALgvzNUAAAAA3BfmagAAAADuC3M1AAAAAPeFuRoAAACA+8J3doA7opSazWaT0TTUgQAAAAwO oUgoEPTvm9X6drwe0QD8FCaTiWFoxLhIXx//oY4FAABgcLS2tqgvlQsEfKGwf7MvzNXAvZjN5p7u 3oTZyd0GfX1jLSGERwjFIx7xiEc84nGYP3p6es+YOqvoWD5PxhMIBK6/M2KuBu6lq6srNjquu9vQ 2Nww1LEAAAAMGkO3IXBMcPi4yHL1BS8vL9d3xGcLwI0wDNOl7fL3G9PZqRnqWAAAAAZZR6dmjH9g l7arX7/Qg7kauBGGYXp6egzdevzKFAAAjDyUEkO3oaenp19zNVwDBXdECaFDHQMAAMDgGthbG86r AQAAALgvzNUAAEaIv/zpL25SyA0oE2D0wFwNAEaphoaGr/731WuvvPbyhpf//cl/zp8/z6ZrO7Wb vt30+quvb3xp46f//vTihQtsOiYcQ8iq851vAowwuF8NAEaj5uamLz//ctGSRbetuk0oFNbXNxTk 58fFxRFCtmzeMjYsNGNZhkwmramuyc8riImNHep4wZkX//TiUIcAcB1hrgbuCZ8ugOvrSM6Realz p0ydzG6OHRsy9s6fsUddTU3N//38bpFIRAgZFz5uXPg4Quhf/vQSuXL+5sU/vUAI+cufXkpbuqQw v0ir1b7wxz8wDJN9KOfkiZNGozF2fOyKW24Wi8WEEI1Gs39fZlVlldlsjogIX3nbShJuNnkAACAA SURBVIVCwe6eunBBQX6hUChYvuLm5ubm/LwCoYB/2+23RkRGEkIcFWhVr1W78nPzCgoKe3t74uPj l69YJhAIncTAMExW5sHTp08zDDN33tyk5MQrxVBCSH19/ddffZOcnJyQONtJMMuXL8vLy+vs1PqP GbPy1hWBgYGEELPZtGvXnnMlZyViSVJyElempfKL5Qcys1pbWz09PVLmzZ0+fZqjVlt1vt2x4Fbs xmM0Gvfs2nPu3DmJWJKYlJiVdZDNbzcGgOtpIG9tmKsBwGhUWVmVnrHU7lPBwUEHDx5KSJitUqm4 RHaKwL7Bc2pr6tY9+pBcriCE5B3Nq6+vW/fow1KpdO/efVmZWctuXkYI+fqrb5ZmLF21+naz2ZyT czhz34HbVt3K7q7T6dY/83RJScnWLVunTZ+2fv1TJSUlmfsOPPKLR5wUaFWvlUuXLj/6i0cIITu2 7cw+dHjxkkVOYsjJzmlqblr36MNisfjw4SOW5Vy8cHH7th0rbrl5/E3jnQdTdenS/Q/cL5VKC/IL du/Y/eC6Bwkhhw7l6Lv0Tz79JKVkx7btdvt523fbl69YHhsb3dWlP5JzhJ0n2a3IqvPtjgXHbjw5 2TndPT1PrX+SELJj+y7nMQC4G9yvBgCjUXd3t1wuY9f/8qeX2IXd/NmdPzP2GP/z7/+++vJrmzdt 6ezscFRIWvoSbsJ08uTJjIwMT09PsVi8aNGi0vOlbPpjv3g0IiJcJBJJpdJFixZVVFRwuy9YMF8k Fk2eMsnYa1wwfx673tzS4rxAq3qtpGekKxQKhUKRlpFWcqbEeQynfziTsSzD09NTKpWmp6dxhRwr PrZz5+67/u8udqLmPJjlyzM8PD1EYlHSnOT6hr6fGyk5U8JGolQqHM2JhUKRVtul0+m9vDxXrLz5 mhW5yH48JWfZTpPLFWkWLbUbA4C7wXk1cFe4BArXk1Qq1esMSqWCEPLiH18ghPzlzy+xR52H0mPF LTcTQvR6fX5e/uZvtz7w4P19u/34sPRQenApnZ3a99/7gBBCKaWU8ng89qnq6pqDWQfrG+qNvUZC CJdOCJFKZYQSAV9ouc4wDJvBUYFW9Vrx9vJin1J5eXd1dTmPoaurS+XtbVtUYX7R1CmTQ4KDr9k6 LnJCiEh4NXhdl+5qJN7etl1HCPnZHauPHj16ODtHKpGmL02LHR/rvCLrEhxsOorHy7MvHm/2t32o wxgArqMBvbVZz9XoFYMQEIx6dg8ndpMSO4fZ1cyUEhyEcD2NGxd2oazM+prXj486uUw2f/781157 /Wq61WFpsalUKh988H4PDw+rZzdv2pyWtiQqKlIikfT29r722l/tl2az7qhAO2FYaNe0+/io2BWF QuE8BqVSqWnT+Pr6WBWy9r6ff/bZ5zKp9MqtZv0JhlJCiEKh4CLRaDR2Yw4JDlpz5x2U0vLyip07 dz4Tu34AFbmYTS5XdHS0q7z7eoZLtxsDwPVEiZO5Vt8boHU6roECwGg0b+7cnOyckjMlPT09ZrP5 0qVL3FNfffX1pUuXTCaTXq/Pzc0NCgxk06VSSWtLq6MCZ8ycsWvXbo2mjWGYxqamLVu2sulGk0ko FIhEwvaO9l27drseoaMCncvMPKDX6/R63f7MzImTJjqPYcqUyXv37uvs7Ozu7tmfmcmle3p6rr3v 3hOnTuXm5Q0smEkTJ7KR6HS6zP2ZdvNs3fpdc3ML+0s7DEOdV2TV+c7HwtbEiRMO7D+g1+v1en1m 5gHnMQC4G1wDBYDRKCAw4M41dx46dGjnrt2E0KCgoDvX3ME+NXPmzOzsnNraOqFQGDYu7PYrHwVI Skr6+F+f9Pb2vvii9acvCSEpc5Lz8vM///x/nZ1aPz/fuXPnsum3rFiRuf/Apk1bPDyUSUlJZ8+e czFCRwU6FzZ27Pvvf9Tb2zNhwoTUBfOdxzB//rzMA1kffPgxj9C5835UvofSY+2993722efUTOfO S+lvMAtS5+/etfutt94Ri8XJSYkXL5bb5omNjf120yZNm8bX1/e221Y6b7VV5zsfC1upqam7du1+ 661/isXi2Qmzy8vLncQA4G5469evnzQlrr6+7wbMjGVL1RXqsHFhs6YnDW1kMAIcO1FQfbk6IjLC MlFdoU5bklHXUKPX66zym0ymy5cupy3JaG9v6+npvoGRAsBo0drS8r8vv37yyV8OdSAwGkmlMk9P 1YGsvWHjwoRC6/NlSoVHwJjgA1l7y8r6voI7MDCg5HQpn7DfZIXb1AAAYOTan5lpMHR3dekyD2Td NH78UIcD4Az98bQM10ABAGDk8/byfvfd90wmU+z42AWp84c6HIB+wFwNAABGvoSE2QkJs4c6CoCB wOdAAQAAANwX5moAAAAA7gtzNQAAAAD3hfvVwB1R/MQUAACMOAN7a8N5NQAAAAD3hbkaAAAAgPvC NVBwT7gKCgAAI89A3tpwXg0AAADAfWGuBgAAAOC+MFcDAAAAcF+YqwEAAAC4L3y2AAAArFFKzWaz 0Wgc6kAAhhmRSCQQCHg83iCWibkauCV8DBRg6JhMJr1OL/WQeXh5EkJ4PB6lFI94xOM1Hwkhep2+ s1OrkMuFQntTrAG9tWGuBgAAV5nN5o6OjoCgAKPR3NHeQQihhPDwiEc8uvBICFEo5L5+vg11DSqV t0AgGJRXJeZqAABwlVarlXkoeo3Gdk37UMcCMPz09vT4+PjIFFKtVuvt7T0oZVrP1SillH0A+Mns Hk6U/d+DEtvDjM1/JRsA3GgMw3R0aiMDfNvb2vFGADAw2i6tl5dXZUWVh6cnn2/nQ5zsO6PdN0HC vUtawOdAYVQ4W3L2zTfe3PDSxutd0fWo4gaEPSR1gRtiGKanu7vH0MOw/2jdqOVY8bHMfZl2n3rv nfed73vxwsVPP/nvNbP1q/D9+zKPFR+/kT2AZUQtlPb29PR0dzMMMygvTFwDheGBm0OIxeLQsWOX pqf5+Pq4vvvBgwdX/2x16NjQ6xPdDbLhpY1/eOH3Q1sCjCIW/9t/9cVXhJC77rnrmju9/+4Hjz3+ aL/q6e7uPnOm5M4773B4Ot3pCb6C/IL0jPTAoIABno2nhNiEPScledM3myZPniSWiAdUKIxug31K GnM1GDbYSYZery8qKtr63baHHnrA9X212q6Q0JDrFtoN8tOnWZiogassLtA0NDQSHo8Q0lDfEBAY 4Mqu/aqqrLQsMipSJpc52tF5gTqdfkyA/4Cv2HI7WpYgl8vDw8PLyi5MnBQ/sGJhNBv0+wcwV4Nh Ri6Xz507tyC/kN3c8NLGJWmLiwqLtNqu3//heYZhcnIOnzp5ymg0xsTG3HzzcrFYzJ6T27jhZULI H174vd08tkW5UjIhxGw27dm979y5sxKxJCEp0W7MmnbNgf1ZVVVVZrM5PHzcLStXKhRyYnOWi9t0 VCaXwWQy7d+3/9y584SQCfET0tPTbD8cXlFekZV1sLW11cPTIyUlZdq0qZYlbHhpY8ayjPz8fG2n 1t/ff8XKFYEBP3oPbqiv/+abTUnJSbNnz/op4wXDFHshh10vKy0bPz6W8mhpadmYgDFs4ofvf/TI Y+u4/Ozmh+9/RAj54L0PCSHss2azOe9oXkWFmhASFR05J2WO7SfjLlVdnjJtClcdw5iPHM6tKK8Q i0STp04m3E08lBYXHys9V2oymcaFj5u/YJ5IJGJrZB8feWxdZ2dnfl5BXW2d2WwOCQlOXZQqk8kc RXulpdQ2bEJIZFTkDz+cjp84YbC6FEaGzZu2EkJWrb6Nd+Ub1Cilm77dLBAIVq2+vS9lsE+sYa4G w4xery8uLh5jMbGora176OEH5XIFISQ/L7+hvv6hhx+SSiX792UezDqYsSzjDy/83nJWZDePbVGu lEwIyck+rNfpfvnEE5TSnTt22I3526+/TU9fetvtt5rN5sOHjxzIPHDrbSudtPGaZebkHNZ2df3i 8V9QSnfs2Hk45/CixYus8mzfviNjeUZsTHRXl/7okaPsXM3SpUuX7rtvrVQqLSwo3LNr9wMPXj1P efHixZ07dt188/LY8bEEV05HJe7GZ4YxV6rVq1avIoRs2bxlTkoSny/g8ljtsu7Rhz/64ON1jz7M PVtcdEyn09951x2UkpzsnGNFxxKSEqzqam1t9fX14UorKjpm0Ovv+r81lJLD2TlcUSe+P9nS3Lxq 9e1iiTgvL7+woDBlbopVjfv27p8zJ3nR4oWMmTl+/PuCvMLURQscReskbEKIr59fa0srPmABlnRd ujffeIsQ0tvbe9fdd7KJn3/2v48++JgQsjQjXS6XEzL410Dx2QIYNja8tHHDSxv/+fY7dbV1t912 C5e+JG0xN7s6eepU+tJ0T08PsVicujC1rLTMthwneSyLcrHkkpKzS9LTFAq5UqlIT0+3G/kjjz4S HjFOJBJJpdKFCxeq1WrnLb1mmSVnzqalLWEzLE1PKyk5a5tHKBR2abt0OoOXl+fNK5bbZli2bKmH h4dIJEpMSmpoaOTSjx87vnvX3jVr1rATNRiduLukKysv+fr7yZVyuVLu6+dXWVnFplvmsdy0Si+/ WJ44J0Eqk8rk0uQ5yeXl5bY3Yvf29oolYm6z4mJ50pwkdpekOclcgWWlpUlzkuVKuVAknD17VqXa TiSr71gVFBIkEApEEtGshFnV1dUuRmuVgRIqloh6enqG/i51LO60KD09Hn/8cULIe++8f+hgNiU0 c/8BdqL2xBNPyBVyLufgvh5xXg3cEbX3b8nvf3xqh8ugVHpw69pO7YcffESunBXg8XjUJr+TPJZF uViyTqfz8vZi171U3sRe5DXVNYcOHWqob2B/scduVJabTspkV/R6nZe3N5dBp9PZVrpq9erc3Nwj h49IJdIl6YtjYmOtapRIZey6UCRkGIZLLyosnjxlclBIEJfy+xd+j3MLowS1fPVRQgi5UHYhNiaG XY+JjblYdjEyMpJYZPjRzjbpBoPB08OTTfHwUBoM3bavELFYbOwxSqQSdlOvN3h4eHC7cAXqdPrN 32xmK6CU8Hg82xobG5qKi4pbWlpMJhMh9vM4jPbHGXq7eyUSMb49CCwxZvNvnvt1m6Zt3759777z flNT07ffbFb5qJYvW/7r3zxbdfnK/+H06kvJ0XHXL5irwYiiVCrve+A+Dw+Pn5jH9b0UCkVHe4fK R0UIaW+3/92hW7dsXbxkcWRUpEQi6e3t/dvrf2PT+Xy+yWgSioSEEIPB4HqZcrlFBk275blATnBI 0B13/oxSWlFesWvXrqdjXT1Jds/an3/x+ecymTTRwe13MCpQSik16A21NbXVl6uzD+WwyXw+X6/T y+QyPp9vNJqEQgEhpKe7hzi4SV8mk3V2dHp6eRJCOju1UqnU9qqir49Pc3NLSGhw3y5yi120nVyB Mpl85a0r5Aq5ZYxWK1lZWYmJCaGhoSKxyGg0ffbpZ+xTrkRrFVhzc4uPry+ugYKVS9WVf/3r6yKh 8Pz5c8WFxeHjwiZOnLhh48aKyouOjqWfDtdAwW1RYv2fCbW3/Ch9+ozpe3bv0WjaGMbc1NT43dbv bLO5ksf1kuMnxh84cECv79LpdAcyD9iNk32TEIkE7R3te3bv4fKMCQgoKCgwGY1abadluuMyr2SI jzuwP1On0+l0usz9++MnxtlWuu27bc3NzQxjpjxKGdtGOWos8fRU/nztPadOnsrPy2MTN7600UHn YxmRCyGEvZBDy8sroqIjH3z4AW6JjokuryinlKp8fE7/cNpoNOm6dEeP5hLSd8pZLBa3a9rpFZGR kQX5hXq9Qa83FOTlR0ZFUBuh40Ir1ZXcZlRUVGFhkcGg1+sNhflFXMk3Tbjp6NHczo4Os9nc2tZ2 6OAh7qY6bl+zySwQ8AVCfqdWm3v0KPeUo2gdhU0prVRXhoWNtY0WRjmGYdRVFRtf3jhr9uzwiPCE xMSXNmysqCxnGIbLw72OHL2++gvn1WBESZ6TVJBf8L8vvtR2an39fFNS5gwsj+t7zV8wb+/uve+8 /Z5YLEpMSiy/WG67780rlmdlZm3Z3Kn0UCYlJp47e45NX35zxu6du3OP5np4eiQlJ5aeL3WxzPmp 8/fvy3zvnfcIIXET4uYvmG9baUxM9JZNWzQajY+v78pbb7HN4ISH0uPn997zxedfMAxNmetS/8AI w77lXLhwMTEpgVqcJIiOjiosLIqPj0+Zm5x7JPfUyVNyhXzS5ElVlVVstkmTJm7ftsNoND7w0P2E kOkzpxUUFG76ZhMhJDwyfPqM6dTmlENMdPTmTVumTp/C3pc9fca0vNy8b77aJBQJJ02aVH25mt1l yuRJP5yme/bs0+v0Xl6eU6dNpTanMVLmphQWFHcdOCRXyCdNmqSuqGSfchQtt69V2Hq9vqqqcsas VbbRApjNpss1l37z6+dyDmcvmL+g6rLabDZZZhj0o4a3fv36iVPi6uvq2e2MZUvVanVYWNjsGcmD XBWMPsXf51dXV0dERFgmqtXq9CXL6uprdPouq/wmk+ny5cvpS5a1aVq7ewwEAG4sk8lUqa6KjI7o aO/o6em5YfWePHGyXdOeuij1htXoXPbBbJVKNXW69aenAThSqTTAP7Chqd72lSKVSj29PNXllRGR 4VZfqCSTyr29fDKz9oSFhdl+15JS4REYEJKZtaes9AKbEhgUePZ0Kc6rAQCANUrojTylNHXaVEIG /y6fAVuwcAFxp3jADRkMhqrLlXafopTyBrUuzNUAAOAqvoBfpa4MDg3pNnQPdSwAw5JcLqtQV/IF g/aRAMzVAACgD4/Hk8tlFeUVcoXCW+Wt69IPdUQAw4xCKW9r0zTUN0ZHR3K/bfATYa4GAAB9BAKB l6eXn5//uZKz/v7+Y4ICCCGUUB7h4RGPeLzmIyGkvOxCU0vr2NCxXp5etr+oNjCYqwEAwFVSmTQo KJDH5zU3NdfVNwx1OADDjFKpDAsLCwwIkMqkg1Um5moAAHAVn8/39PIUS8Q+PircsgbQX1KZVKlU SqXSwboASjBXAzc18K8MBICfikd4MqlMKrHzGwMA4ByPx+ubpdl99QzoJYW5GgAA2HH1LQcAhhR+ YwoAAADAfWGuBgAAAOC+MFcDAAAAcF+YqwEAAAC4L8zVAAAAANwXPgcK7glf2gEwlCilZrPZaDQO dSAAw4xIJBIIBI4/Qz2QtzbM1QAA4EdMJpNer5crFV4qb0IIj8ejlOIRj3i85iMhRK/Ta7VdcrlM KBy0KRbmauCOcFYNYKiYzeaOjs6g4ECj0dTR3kEIoYTw8IhHPLrwSAhRKOR+/n51dXXe3t62vwdK B/SqxFwNAACu0mq1Cg9Fr9HYrmkf6lgAhp/enh4fHx+5Qq7Var29vQelTMzVAACgD8MwnZ3aMYH+ 7W3tFD8wBTAg2i6tl5dXRZPa09OTzx+ED3Hic6AwKpw7e+6tf7z98oZXrndFI6OK6x2DOzQB7GIY pqe7p9vQw1BKyY1bjhUfy9yXafep99553/m+Fy9c/PST/14zW78K378v81jx8RvZA1hG1EJpT09P T3cPwzCD8sLEeTUYHrh3d7FYHDo2NC19iY+Pj+u7Hzp4aNXqVaFjQ65PdCPfyxteef4PvxvqKODG sjit9tUXXxFC7rrnrmvu9P67Hzz2+KP9qqe7u/vMmZI777zD4b08Tk/wFeQXpGekBwYFDPBWIEqI TdhzUpI3fbNp8uRJYol4QIXC6DbYp6QxV4Nhg50r6PX64qLibd9tf+DB+13fV6vtCgkNvm6hAYw4 lHLXQBsaGgmPRwhpqG8ICAxwZdd+VVVWWhYZFSmTyxzt6LxAnU4/JsB/wFdsuR0tS5DL5eHh4WVl FyZOih9YsTCaDfr9A5irwTAjl8tT5qYUFhSxmy9veGXxkkXFRcVabdfvfv9bhqGHDx/+4eQpo9EY HROz/OZlYrGYPSf3ysZXCSHP/+F3dvPYFuVKyYQQs9m0d8/+c+fOScSShMQEuzG7WNTLG15ZmrG0 oKBA26n18/dfccvygIAAJ1W42BCrSOYtmFdUWCQUCjOWZbS0NBfmFwuE/JUrV4RHRDgqk+1A9pE7 u3bi+5O2oZpMpsx9mefPlxJC4ibEpaUvYT+17kovgVthL+Sw62WlZePHx1IeLS0tGxMwhk388P2P HnlsHZef3fzw/Y8IIR+89yEhhH3WbDbnHc2rqFATQqKiI+ekzLH9ZNylqstTpk3hqmMY85HDuRXl FWKRaPLUyeTKOx+ltLj4WOm5UpPJNC583PwF80QiEVsj+/jIY+s6Ozvz8wrqauvMZnNISHDqolSZ TOYo2istpbZhE0IioyJ/+OF0/MQJg9WlMDJs3rSVELJq9W28K9+gRind9O1mgUCwavXtfSmDfWIN czUYZvR6/bHiY9wbBiGktrbugYcekMvlhJCCvPyG+voHHnpQKpVk7j+QffBQesbS5//wO8tLeHbz 2BblSsmEkMM5R/Q63eO/fJxQumvnLkdhu1IUIeTSpUv3rr1XKpUUFRTt3bX3vgfvc1KF6w35UQfq 9E8+9cS5knPbv9s+ddqUJ556/FzJuazMgw898pCLHeg8VG2X7tFfPEoo3blz15GcIwsXL3TSBFxa dVv0ynk1hjFXqtWrVq8ihGzZvGVOShKfL+DyWO2y7tGHP/rg43WPPsw9W1x0TKfT33nXHZSSnOyc Y0XHEpKsJ+utra2+vj5caUVFxwx6/V3/t4ZScjg7hyvqxPcnW5qbV62+XSwR5+XlFxYUpsxNsapx 3979c+YkL1q8kDEzx49/X5BXmLpogaNonYRNCPH182ttacUHLMCSrkv35htvEUJ6e3vvuvtONvHz z/730QcfE0KWZqT3/dUd7KMGny2AYePlDa+8vOGVd//5Xl1d3cpbb+HSF6ct4iYlp374IS093dPT QywWp6YuKC29YFuOkzyWRblY8tmSs0vSligUcoVSsSR9iaPgXQwyY1m6h4dSJBIlJiU2NDY6r8L1 hliaNz9FJBJNnBxvNBrnzutbb2ltdb0DnYZ6bknaIjbUtPQlZ8+e7Vcvgfvg7pKurLzk6+8nV8rl Srmvn19lZRWbbpnHctMqvfxieeKcBKlMKpNLk+ckl5eX296I3dvbK5aIuc2Ki+VJc5LYXZLmJHMF lpWWJs1JlivlQpFw9uxZlWo7kay+Y1VQSJBAKBBJRLMSZlVXV7sYrVUGSqhYIurp6Rn6u9SxuNOi 9PR4/PHHCSHvvfP+oYPZlNDM/QfYidoTTzwhV8i5nIP7esR5NRg2HJ2A8VB6cOvaTu3HH35ErlzB 4dn7lQ8neSyLcrFknU7ndeUbdJx8lY6LQUqlMnZFKBJyHyByVIXrDbHEViEQCC3Xubpc6UAnoer1 Xd7eKi5UnU7vvAk4qebWKCGEXCi7EBsTw67HxMZcLLsYGRlpmcEqv1W6wWDw9PBkUzw8lAZDt+27 mFgsNvYYJVIJu6nXGzw8PLhduAJ1Ov3mbzazFVBKeDyebY2NDU3FRcUtLS0mk4kQ+3kcRvvjDL3d vRKJeNBPkMCwxpjNv3nu122atn379r37zvtNTU3ffrNZ5aNavmz5r3/zbNVldV8+fLYAwAmFUnnf /Wv7/r7/hDyu76VQKDra21U+KkJIe7tL3x3a3wAcVTGwhgxubFbkcqVlqHK5oq/Y/vcSDDFKKaUG vaG2prb6cnX2oRw2mc/n63V6mVzG5/ONRpNQKCCE9HT3EAc36ctkss6OTk8vT0JIZ6dWKpXaXlX0 9fFpbm7hPv0jk1vsou3kCpTJ5CtvXSFXXD1hbFtjVlZWYmJCaGioSCwyGk2fffoZ+5Qr0VoF1tzc 4uPri2ugYOVSdeVf//q6SCg8f/5ccWFx+LiwiRMnbti4saLyoqNj6afDNVBwV/THi22KvfTp06fv 2b1X06ZhzExTU/N3W7fZZnMlj+slx8fHZ2Ud1Ov0ui79gcyD9uPsf5CWm46qcLUcR5HYW3dUpkQq aW1pczgcVzYnTIg7kHlA16XXdekP7DswIT7OeRNe3vCKw1CxDNXCjicllNLy8oqo6MgHH36AW6Jj ossryimlKh+f0z+cNhpNui7d0aO5hLCzOyoWi9s17fSKyMjIgvxCvd6g1xsK8vIjoyKojdBxoZXq Sm4zKiqqsLDIYNDr9YbC/CKu5Jsm3HT0aG5nR4fZbG5tazt08BB3Ux23r9lkFgj4AiG/U6vNPXqU e8pRtI7CppRWqivDwsbaRgujHMMw6qqKjS9vnDV7dnhEeEJi4ksbNlZUljMMw+WxeCHZf331F86r wYiSnJxYUFDw5f++0mq1vr6+KSlzBpbH9b3mzZ+3d8/ed995VywWJyQkVpSXD0qQlhxVMbCGDCy2 xITE//z7P729vc//3tlVy/kL5mfu3//+e+8TQuLibpo/f77zJoDbYt9yLly4mJiUQC1OEkRHRxUW FsXHx6fMTc49knvq5Cm5Qj5p8qSqyio226RJE7dv22E0Gh946H5CyPSZ0woKCjd9s4kQEh4ZPn3G dGpzyiEmOnrzpi1Tp09hb7KcPmNaXm7eN19tEoqEkyZNqr5cze4yZfKkH07TPXv26XV6Ly/PqdOm UpvTGClzUwoLirsOHJIr5JMmTVJXVLJPOYqW29cqbL1eX1VVOWPWKttoAcxm0+WaS7/59XM5h7MX zF9QdVltNpssMwz6UcNbv379xClx9XX17HbGsqVqtTosLGz2jORBrgpGn+Lv86urqyMiIiwT1Wp1 +pJldfU1On2XVX6TyXT58uX0Jcta21q6uw03MFIAIIQQk8lUWVkVFRPZ0d7R09Nzw+o9eeJku6Y9 dVHqDavRueyD2SqVaur0qUMdCLgvqVQa4B/Y0FRv+0qRSqWeXp4VF9UREeHs9xZxZDK5yts3M2tP WFiY1VOEEKXCIzAgJDNrT9mVz3UFBgWePV2K82oAAGCNEnojTylNnTaVkMG/19K15wAAIABJREFU y2fAFixcQNwpHnBDBoOh6nKl3acG/cjBXA0AAK4S8PlV6srg0JBuQ/dQxwIwLMnlMnVFpWAwfrWd hbkauKefcBMmAAwUj8eTyWUVFRVyhcJb5a3r0g91RADDjEIpb2vTNNQ3REVF8ng8m/eygby1Ya4G AAB9BAK+l5enn5/f2TMl/mPGBAQFEEIooTzCwyMe8XjNR0LIxbILzc0toaGhXl6eAsHgnFrDXA0A AK6SSqVBQYF8Hr+pqZn72BkAuEihUIaNDQsIHCOVSgerTMzVwB3hCijAUOHx+R6eniKx2NtH1d2N W9YA+kcqlSqVCqlUyuPxbN/IBvbWhrkaAAD8CI/Hk8lkUqkUn4ME6C8ejzj5db6BwVwNAADs4PEG /R0HAAYCvzEFAAAA4L5wXg0AAADAjawZ90d2RaWKmzDJjPNqAAAAAO4LczUAAAAA94W5GgAAAID7 wlwNAAAAwH1hrgYAAADgvjBXA+gHbZf2rX+8NdRRDIJh0ZBXNr461CGMapYHyU8fi8EdTW2n9svP v3z91b++/eY/B7HY62o0H8/D4g+OO8NcDYYTbaf2lY2vnjt7jkvp7Oh855/vOtnlk3/9ZxB/07Ch riEwMGiwSvuJ+ts0y/xu0hCrJlht/u73vx2KoIaTwT28rVgeJAMYi+s6modzDodHhD/7m189+fQT g1isEwPo6lF+PLvhH5zhC3M1GE5qa2u9VaqTJ09yKXX19SEhIY7yMwzT1tbq5+8/WAE0NjQGBAUM Vmk/RX+bZpXfHRpiFdKgD9aId717rLGhMTA4cGD7Xu/Y1OrKqdOm8vk36C1sAM0Z5cez7R+cAR9L QAgRJCUljQn079J2sdsxMdEajcbLyyskeOzQRgYjQG19dWdnp0qlskzUaDTRUTHark6jsdcqP8Mw HR0d0VExer3eZDLZFvjDqdPRMVGVFZXh4eFyuZwQUlJS4uvrExISUltX993W7zL3ZZaWloWNDZXL Fd3dhr/99Q2GYfLz8nOP5s6YMb2luWXbd9v278s8e/ZcaGioUqF0EnxnZ+fePXv37NlbWFAsEouD g4IIIUVFxZ6eHtkHcw5kZhFKwsLGEkIulF386MOP83LzSk6X+Pj6qFSq7m7D22+9o1Aot2zempN9 WCQUsRPKpubm77Z8t2/v/tLSMg+l8ssvvkpImE0Iqa+rtw2svr5h87ebM/dnVqorAwPGKJVXo7Vt WlNzs1XzLdtim//EiZO2DXExDLvZLLmyi1VI8fHxb735tuXm++99kJSU1O+edNppXFFHDh8VCgUi oejbbzYdzMri8fhjQ0Nth9Lb2/ufb74TPzFeLBazhdTU1G7ZvHXKlCmWv76k7dJ+8P6HlKFbN28p Kiz29fXx9fFlqyOUt3379uLiY7Nnz7bthLfefHvy5EkikYgQcubMmeyDORMnTrTbV7adYDumbDks 22PSUZxO0ouKiqOjohQK+dtvvZOUlOToRWH3+LcaXHY0CSF2X6d2h9jJUL737vtarbaosCgvN2/S pEnvvfO+ZT87r8LR0Ds5gIVCgVVXV6qr7L7kuTAmT55ktwf6ezxb0mq7Pnzvw4TEBEKIXqd/55/v JSUlOhm+a/41c9RRlq245jFst3C7f3CioiK//Pyra76aRjyRUCSTySvUF728vGz/2RCLJUqlZ4X6 YpBpC5sik/m3dlH8bgG4J0qInV+Nrq2pmThpwpSpU06cPJmWtpgQUl/fMG/+3Jbm5u+2bF22fNnY sWNPnjy5a+ee++6/VyqV3n77redLy2699RZCSHt7x+bNW5ZmpIeHh584cWLvnn333X8vW+wrL7/2 u+efs6xIr9N/+cWXMxNmZSxb2tPTk59bwMbT0NAgEgnvXPOz+vqG77Zum5OSRAhpaKy/+567QoKD K9WV+/bu/8Xjj7a1akwmU5dWu+6Rhy5VXdq+fefshJldXV2bv928cOGC6JhojaZ9185dQUGBhFBH ge3csSM5OemmuJsuX64+d+58QODV02BWTWtpbrFtvmVzrPLbbYiLYUikUkfdyHFlF9uQLDfrautV KhUhtF896bzT2lo1RqOxs6Nj3SMPXbxwcffuPc1xzXfcubq5qXnrd9uSkhLsDmV4RHhNbe1N42MJ IQzD7N+3PyNjKZ9PLI/PhvqGbkM3n8f7xeOPnf7h9KGsQzEx0W2tmp6eno7OjoceekAqlba3t9t2 gq+vj0bTJpfLzGZzbm7+qtW32c1mtxNsO/BHIdk0xFGcztIbGtLSF7e1atixcPiisKnLKjZuNO0e qHZb53wob1916949++5/4D62cMt+tvunwJWhd3IApy5cYP3ysfeStwxjsI5nS3V1NcEhQWx6q6bV x9e7r/8dDB/H7sA5GgvLVlj1rd2D027hdv/gpKUvduXVBHbhGigMG2azqbWtzd/ff8qUyefPnWNP vDU3NQcGBOTm5aekpERGRohEwmnTpjU2NrK71Dc0jAnoOwmfl5s3Y+aMmJhokUg4Y8Z0Lo9duXl5 8ZPiZ86YLpFIPD09ly5LJ4Rou7q6u7szMpbKZLKAgDHc/4Lz5s0dFxYmFApjYmO6u7sJIW2atoDA MclzkoRCYWBQ35n//PyC6dOn3RR3k1Ao9Pf3CxsXxr79OApMq+0ihFBKIiMjUhcusIrQsmmOmu8o v92GuBiGK93o4i6WIVlttmnaVD6q/vak805r07QFBAakzJ0jFAojIsPNZvOC1PkKhSIgMIAy1NFQ RkSG11bXsM8WFhWFBAcHh1jfdtPY0BgZGZmQOFskEk2eMqW9o4Otzs/fLy1tCfvObbcT/Hz9NJp2 QsjJUz+EhY0d4+9vN5vdTrDtQEu2DXEUp6N0bVeX2Wz28vLixsLui8JRXXZH0+6B6qh1zoayVaPy 8eEKt+xnx1VcY+gt2VZt1dV2X/KWYTjqgf4ez5bqauuDgvuOvXZNu8rbx/mwcuwOnKOOsmyFK8ew o6PC6g8Oeyy58moCu3BeDdwIj8cTCkRms8nMMAxlrJ6tr2/w8/cjPCKVS8PGhZ0pKQkLC/Py9uLx eVVVVUvSFrO79PZ2y2Qydr2xsWn6jGnsulqt1p0pOXLkCKGEUiqRSLgqnvvdr62qKyu7sHbtz60S 6+vqQseGiCQihjINDQ0BgQEMZTo7tdmHci5VVXV391BKvbw8Gcpo2jTh4eHs7lzOCxcu/nztPVyZ er0+LGwsQxlHgd18y/KCvIJ9+zKTkhKT5iRa9YZl0xw131F+uw1xMQwn3chxcRfLkKw2NW0alcq7 vz3pvNM0bZqICK6oxqDAIJlcxlCmvqEhIMDhUI4LH3fi+xMMZdrb209+f/L+B9fatreuvn5CfByb bug2yOVyNvLo6CjCowyljg4/Hz8fTZum19h7rPj43fescTQKdjvBtgM5dhviKE5H6fV1dWxF3FjY fVE4qsvuaNo9UB21zslQtmnavFVeXOGW/eyoCudD7/wAtmqOo5e8ZRiDdTxbqq2rTU5OYtNb21q9 fbycDyvH7sA56ijLVrhyDNstnNj8wWFb6sqracRjGLPZbBIKRP268ou5GrgXvoBnZhhC7VwDra2t DQ7uuzQwdeqUnOzDYpEoJCSYENrT3SMSCtinyi5cGDduLLve1Ng4xt+PXdfrDc/86imhyPKYd3ji Xa/TS2USqwyNDY1BgX0B1Nc3BAcFEkK3bt46ecqkJWmLZDLpmTNnyy9WEELbNG2RkRFWOXVdOpmk r8ze3l61unL+gnmEUEeBxcRExcRE1dfV/++Lr5PmWF+msWyao+Y7ym+3IS6G4Uo3uriLZUhWm22a toiI8P72pPNOsyyqtrYuODS4r9jauqAQh0OpVMrNZrPJZMzcn5Uyd45UKrVtb2NDw9y5yWz6xQsX IiL7ImebwOax2wm+vqqSs+ePH/t+woTxHkqFo1Gw2wm2Hcix2xBHcTpKb2xoDAoMsGyI3ReFo7rs jqbdA9VR65wMZWtbW0T4OKvC2aeuWYXdobfqQNuqLZvj6CVvGYajHujv8WypsbF5zBh/QiiltPxi RULCLOfDyrE7cI46yrIVrhzDdgsndv7gBLj4ahrxGIZhGIYv6N8tergGCu6Fz+NThqEMQymxWmpr 6oKCgtj1sWFje3t6T5w4FRwSTCkJCAg4eeq00WiuUFflHS1ITE5is3V3d5vNfUX5+/sVFx/v7TXq dPqC/KLOTi2b/torf7Oty9/fr7CguKenV6NpP3o4j02sb2gcExjIrtfV1QcFB1FKWlvbAoOCRCLR xXL10cNHAwMDKCWatnZvb2+rnD6+PsePnzD2mpqbW7du2c7n8RQKhaPAvtu6o7a23mg0NzW1qFTe thFaNs1R8x3lt9sQF8Nw1I3c4vouliFZbWra2r29Vf3tSeedZllUbW0de+RQSurqG4KDHA4lpSQs LCzrQLax1xg/Md62Yzu1XXq94eTJ0729xurqmsKCosTEBMsmODn8fHz9mhoaS86UzE6Y7SSb3U6w 7UBusdsQR3E6SucOEq4hdl8UjjrN7mjaPVDtts75ULa3abi+terna1Zhd+idH8BWzXH8kldZlvPT j2erhUdobW1dT0/vgcyDba1tKh+Vk+GzXOwOnOOOutoKV45hu4VTx39wbF9Ndv8Cj+CFoZRhGD6v f7MvnFcDN8Lj8Xh8HmNmKLHz71ZtXd2C1AVsOo/wJk+dnJN9eMWK5YSS9KVpu3btPpx92M/f75aV N/v5+rLZZsyY8ckn/zGbzOufeTpjWcb+vfvzcvM9PT0TExM8lB5Xq7CpK2NZRub+zIL8QpXKOy1t CZuhsaFh8aKF7HpDXUN62hJCyYIF87/9ehOfz4ufGO+tUgUGBBBKNBqNytvbKmda2uLdu/fm5eaF hISEhISIRSI2g93AxsfG7t29V6NpDwwMWHHLzbYRWjbNUfMd5bfbEBfDcNaNhBDSj10sQxIKBZab Go1GpfLub0867zTLourr6tLSFvet19anLVnsaCgJIeMiwrdu3nrffffyCM+2YxvrG8LCwsRC0T/f etfD0yMjY6lKpeqLXOXN5bfbCR5KZWenNnXhfLFI7ORgsNsJth3IhWS3IY7idJh+5SDhGmL3ReGo 0+yOpt0D1W7rnA9lW1s717dW/XzNKuwOvfMD2Ko5Dl/yFmE46oF+Hc9WklOSd+3cI5NJ56TMOXf2 HFuOo+GzZHfgHHaURStcOYbtFk4c/8Gx/2oaXSfXKMMwPD6vX9dAeevXr584JY77wrqMZUvVanVY WNjsGcnXJ0oYRYq/z6+uro6IiLBMVKvV6UuW1dXX6PRdVvkZhmluapo6dWZnZ3uvsecGRnqjbd2y LTo6avKUSUMdyLB3A3ry1MkfOto75qfOs/tsfm6BiTHPm5dy/QIYFI7iHC7xjxL9PZ6H3fA5fzWN BhKRxMPD+9QPx/3HjLH9zg6lwiMwICQza880w11sikoVV9Zgxnk1cC88voBShhBq9/NZw1d3d3dh QVFSciLD0OPFxzRtmgkTbhphbbwxbmRPUkovXLh4/Nj39669x1EV9Q0NkydNdP+hdBTncIl/pPqJ x/MwGj5XXk2jASWEoQyPL7h2VguYq4F7EfB5DMMwDCUj69sRJVIpQ+mHH3xMeCQiIuKONT8TCEXX 3g1s3MiefONv//D1812xcoXoyrd32mpsbAxIW+z+h6ujOIdL/CPVTzyeh9HwufJqGg0YyjCUEfD7 N2S4BgrXUX+vgVJK29o042Nv0um0vTa/agAAADCsiURipdyj7GKpj4/K9pY1XAOFYYBSyufxKKWU 0lF2tykAAIwClHLvdK5/vABzNXAvfAGfYczsF6wBAACMMGZq5gvwnR0wnPF5fIY9r8bDbA0AAEYU hmEoQ/H9ajC88QU8xszwcA0UAABGogH8bgHmauBeeIRPqZnBVA0AAEYcSilDzbx+/moUfmMK3AuP z2MoHW3fYw0AAKMBQyllKK+f39mB82rgRng8Hp8vYMxmSpnR/GWJAAAwMgkIw5j5fEG/fmMK59XA vfB4hKGU0GHw1Y4AAAD9QxmG0v5+ezHOq4F74fN5DGPG7WoAADDyMJTwGDMf10Bh+Oq7BspQilvW AABgJGIY2t9roJirgXvh8XiUMhRfhQsAACMOpZQQpl8TNYL71cDd8Hg8TNQAAGCk6tevS7EwVwMA AABwX5irAQAAALgvzNUAAAAA3BfmagAAAADuC3M1AAAAAPeFuRoMA2++8fZQhzAyDUrHXo/RGUYj fs1QHWUYRm0EgKGF71cDN8K9e4nFoqDg4AWp81Uq76ENyVJTc3N+bkFdbZ2ZMY/xHzN95vSYmChC SFeX7nDO4cuXqk0mU2BgwMxZMyIiIwghb77x9tPPPDnUUY9e17X/MbgAcL0ZeoiKEIK5Grgb9v3P YDCcOHFy7559d//fmqGOqE9ra+u2LdvnzpuTsSxdKBA2NjV9f/wEO1fbs3tvSHBQ6n0LJFJxfX3D 8WMn2LkajGCYqAHAdWXoIT9UEB8fSjBXA/ckk8kSExK+P3aCSzn9w5njx453del8fX2XLF08xt+f EGI2mbOzcy6UXSSExI6PTU2dLxAKCCFvvvH2wkWpPz2/paKC4sSk2XET4tjN4OCg4FuWs+sN9Q23 r7pVKBQSQkJDQ0NDQ8mVc4TsI/u+/uYbb89bMPfk9ye7unRPrX+CUpqXV3D2zFmj0RgZFblkySKR WEQI6ejoOJxztKa62mxmxo4NTVuaJpfL2N2T5iSeOH5SIBQsWryorbX1+PETAgF/aUZaWFgYIcRR gVb1WrXr+LHvT3x/orfXOH58zMLFqQKB0EkMDMPkHsk7f76UYZiEhFnTZ063LKqpsWnH9p0zZs6c Nn2Kk2DsD43ZdDAr50LZBbFYPOPHxXL6Nay2/W/JtoE6nW7Xjt33PXAv+x2VlNJP//3ZiluWi8Qi R8NhVayjTnPUyRxHfQUAo5lMQqZEE6mYR3C/Grgng8FQVFTs5+/HpdTU1N6x5o7HHn8kOjrqUOYh NjEvv6CrS3ffA2vvu/9erVabn18wuPktVVfXREdH2402IGBMbm5eR0eHZSL7Rv70M09avqM31Dfe fc8adsJ0rOhYU2Pj3ffc9cijDwuFwqNHc9k8O7btnDZt6rpHH1736EPePt5Hco5e7Ra94aF1DyQn J+3bs0+n1z308P3JyUlcBkcFWtVrpbam9p5773ngoft1ekNBXpHzGAoKCltaW+++564HHrpP29Vl WU6luvK7rdtTF6VOmz7FeTB2uzo/r9Cg1z/w0P33/Pzu6svVdvvZ0b52h9Vu/3NsG+jv7yeRiqur a9gM1dXVEqnEz9/PyXBcs0znncxx0lcAMKpd+REfzNXAvbz5xttvvvH2v//1aUNDQ0ZGGpe+aNEC pVIhEolmzJre1NzMJpadL5ufOk8ul8kV8gWp88tKywY3v6Xu7m7ZldMkbJDc3XXLb1lu6jV9+/Xm d995f/euvV1araPWzVswVyaTs+slJWdTUxd4eChFYlFKSnL5xQo2/edr7xkbFioUCiUSSUrKnEuX LnG7JyUliESiuAnjjUZjUmLfelubxnmBVvVamZ86Xy6XyeWy+anzysrKnMdQeq40deECDw+lRCKZ v2AeV8gPp05nHTi08rZboqIirxmM/aEpLeuLRCGfnzrfUQf2d1gdsdvA+Pj4ktMlbIYzp89OnDjB SVe4WKaTTuY46SsAGLXYa6DdvbgGCu7H0W1AEqmUXREKhQzDsOt6vd7by4td9/Ly1OsNg5vfklQq NegNcoWcWFzTZJ9SKhSL0xYRQgwGw/Fj3+/ete/Ou35mtxVKhYJb7+rSffbfL9h1y5+Hq6urzz2a 19zUbDQaCSGWPxvHBsleQePWuWgdFWhVrxUvL8++FU9PnU7vPIauLh2X39KJ709OiI8LDAy4ZuuI g67W6fRXI7FXhZN9nQyrI3YbeFPc+LzcfIPBQAi9VHVp8ZKFTrrCxTKtWmTZyRwnfQUAo5blNVDM 1WAYk8vlHR2d3t5ehJCOjk6ZTDa4+S2Fhgar1eqJkyY6ySOTyZKSE9975wNXCpQrFGvuukOptJ5F 7dm1Z978uePCx4nFYqPR6GJpTgp0juuQzk4td3+VoxiUSkVHR6fth3NX37Fqy6YtUqmUu9Wsv8Eo FBZD09nZryYMYFjtNlAikURGhp87e54QEhEZIZFIHOV0vUyW3U6+Gv+ABg4ARj5cA4URYPz42MPZ h/V6g15vOJx9ePxNsYOb39LsxIT8vMKy0rLe3l6z2VxTU8M9tf27HTU1NWaT2WAwFBcd4z6XIJFI NFcuUNqaPHlS1oGDHe3tDMO0tLTu2b2PTTeazAKhUCgUdHZ2Zh2wc+dcfwt07sjhowaD3mDQH845 Mv6m8c5jiJsQl30oR6vt6unpOZxzhEv38FCuvnN1ScnZY8XHBxbM+JvGs5Ho9YbD2UecZ7be18Gw Oul/Rw2cMHFCyZmSkjMl8RMnOM/pepnEQSdzHPUVvoANYDTDNVAYIZJTkrIP5fzn358SQmJjY5Ln JA1ufkv+/n63rFyRl5eXdeAQpTQgYMyKlSvYpyZPnVyQV9jQ0CgQCEJCQzKWp7PpM2ZO/+rLr3t7 jXYv7M6aPeP4MbJl83ddXTqVjyohYRabnpa2+EjO0V2dnUqlcsbM6RfKLrgYoaMCnQsODvr8v//r 7TXGxMYkJyc5jyExKeHIkaNffP4lj9DZibMty1EqFD/72arNm7ZQhpmdOLu/wSQnJx3MOvjJx5+K xaIZM2dUVVa52GrieFid9L+jBo4dO9ZsZgghY8eGOs9py0lOu53MGdjAAcDIZnkNlLd+/fqJU+Lq 6+rZ5zKWLVWr1WFhYbNnJA9pkDASFH+fX11dHRHxoy8bU6vV6UuW1dXX6PRdjnYEAAAYbZQKj8CA kMysPdMMd7EpKlVcWYMZ10ABAAAA3BfmagAAAADuC3M1AAAAAPeFuRoAAACA+8JcDQAAAMB9Ya4G AAAA4L4wVwMAAABwX5irAQAAALgvzNUAAAAA3BfmagAAAADuC3M1AAAAAPeFuRoAAACA+8JcDQAA AMB9Ya4GAAAA4L4wVwMAAABwX5irAQAAALgvzNUAAAAA3BfmagAAAADuC3M1AAAAAPeFuRoAAACA +8JcDQAAAMB9Ya4GAAAA4L4wVwMAAABwX5irAQAAALgvzNUAAAAA3BfmagAAAADuC3M1AAAAAPeF uRoAAACA+8JcDQAAAMB9Ya4GAAAA4L4wVwMAAABwX5irAQAAALgvzNUAAAAA3BfmagAAAADuC3M1 AAAAAPeFuRoAAACA+8JcDQAAAMB9Ya4GAAAA4L4wVwMAAABwX5irAQAAALgvzNUAAAAA3BfmagAA AADuC3M1AAAAAPeFuRoAAACA+8JcDQAAAMB9Ya4GAAAA4L4wVwMAAABwX5irAQAAALgvzNUAAAAA 3BfmagAAAADuC3M1AAAAAPeFuRoAAACA+8JcDQAAAMB9Ya4GAAAA4L4wVwMAAABwX5irAQAAALgv zNUAAAAA3BfmagAAAAD/374d7Lh11QEc9tiDx0MST5Im0xBN6KKISqjqE6DyRESCBRKwgmdBqC+R B2CBKDQG2mwAhbQVFW2TSWdkxxkWlgIyA82mvT8l37e6PseL//Knc8/t0moAAF1aDQCgS6sBAHRp NQCALq0GANCl1QAAurQaAECXVgMA6NJqAABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YD AOjSagAAXVoNAKBLqwEAdGk1AIAurQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCA Lq0GANCl1QAAurQaAECXVgMA6NJqAABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjS agAAXVoNAKBLqwEAdGk1AIAurQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0G ANCl1QAAurQaAECXVgMA6NJqAABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjSagAA XVoNAKBLqwEAdGk1AIAurQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0GANCl 1QAAurQaAECXVgMA6NJqAABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjSagAAXVoN AKBLqwEAdGk1AIAurQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0GANCl1QAA urQaAECXVgMA6NJqAABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjSagAAXVoNAKBL qwEAdGk1AIAurQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0GANCl1QAAurQa AECXVgMA6NJqAABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjSagAAXVoNAKBLqwEA dGk1AIAurQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0GANCl1QAAurQaAECX VgMA6NJqAABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjSagAAXVoNAKBLqwEAdGk1 AIAurQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0GANCl1QAAurQaAECXVgMA 6NJqAABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjSagAAXVoNAKBLqwEAdGk1AIAu rQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0GANCl1QAAurQaAECXVgMA6NJq AABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjSagAAXVrqYUP/AAADxElEQVQNAKBL qwEAdGk1AIAurQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0GANCl1QAAurQa AECXVgMA6NJqAABdWg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjSagAAXVoNAKBLqwEA dGk1AIAurQYA0KXVAAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCArt2hBwAA4N/e+esvNg83 ljcW7/3ZuRoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0GANCl1QAAurQaAECXVgMA6NJqAABd Wg0AoEurAQB0aTUAgC6tBgDQpdUAALq0GgBAl1YDAOjSagAAXVoNAKBLqwEAdGk1AIAurQYA0KXV AAC6tBoAQJdWAwDo0moAAF1aDQCgS6sBAHRpNQCALq0GANCl1QAAurQaAECXVgMA6Dqn1fZn++v1 +usfhRfPer2e7c22FifjyeJPdw/mB4OMBABNB/PLiz/+YTKebK3v/vdfr1y9cnJ6+tt3f7Ozs/O1 zMaL6ezs7OT09OrVq1vr+/uzxeK9K5cv3zi8+fDR54PMBgApB/ODzz7/dLFYHB3d3No6p9Vms9nO zvj4+Hiyu1128PzWT9b7+7O96d7W+sVL80sXH925c+eNN7777ddeG2Q2AEi5u7j7/r17h9deuXhp vrV1TquNRqO9vene3vSrH4yX0Wy2d/jq4c7Ozgf37v3u3d8PPQ4ADO/ChW++ev3a9cPrs9n2Gcf5 rQZfnfF4PJ/P5/P56995fehZAKDOd6AAAF1aDQCgS6sBAHRpNQCALq0GANCl1QAAurQaAECXVgMA qDi6dbS1otUAABKObh39+lfvbC1qNQCA4Z0baiOtBgAwuGeh9vYPvr+1pdUAAIb0n6HmvhoAQMhW qLmvBgBQ8aWhNtJqAACDODfU3FcDABje/wo199UAAAb2f0LNfTUAgCE9Z6gtl8vNw3i1Wg0yKADA y+ZLQ21zX225XN6///flcrVarcbr9Xp0djbs3AAAL7znCbXNfbXpdHrr1tH0G7vr9Xrn9u0f3jz6 1pMnTtcAABKWy+V0Op1Mdj988PF4Mtn98MFHZ47WAAAGtbmjtnkBulqtPnrw8Y9/9NPxaDQaj8eP Hj6WawAAQ3mWaJsXoF88PplMJqPNd6BvvvW91Wr1yT/+eXJy+nT9dOhRAQBeOptEm4wnJ1+cfvbp w/WTp7dv/2Q0Gu1utl+5dmU0Gv3tL/ePjx8POSYAwMvtwsULP//ZL5/9/Bc2dWLMcJOM6QAAAABJ RU5ErkJggg==