Re: Fwd: Dependency tree for test framework
Bill Deegan <[email protected]> Mon, 31 Mar 2025 12:25:44 -0700
| Newsgroups | gmane.comp.programming.tools.scons.user |
|---|---|
| Message-ID | <CAEyG4CHG8gHtuJpX8cZr0VJwOnfa=zqv+KJv4zfUgKBZ6rwLAg@mail.gmail.com> |
--===============7489912840982807587== Content-Type: multipart/related; boundary="000000000000a047180631a86393" --000000000000a047180631a86393 Content-Type: multipart/alternative; boundary="000000000000a047180631a86392" --000000000000a047180631a86392 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable wow that's about the most complicated way to share your dependencies I've seen so far.. I see an arc from aOld\b.out.tmp -> aOld\b.out which goes around PreProcess.py (same for aNew\b.out.tmp). How does b.out "use" the .tmp file directly? Or is that a mistake/error in your representation? On Sat, Mar 29, 2025 at 1:02=E2=80=AFPM Keith Prussing <[email protected]= om> wrote: > I=E2=80=99ll throw in that the ToolsForFools (link below) helped me under= stand > Builders in the context of Second. > > Keith Prussing > > [image: 60082f80-4d90-11ea-8bc5-15d065acb8d1.png] > > ToolsForFools <https://github.com/SCons/scons/wiki/ToolsForFools> > github.com <https://github.com/SCons/scons/wiki/ToolsForFools> > <https://github.com/SCons/scons/wiki/ToolsForFools> > > > On Mar 29, 2025, at 9:54=E2=80=AFAM, Mats Wichmann <[email protected]> wro= te: > > =EF=BB=BFOn 3/28/25 23:30, Oliver Koch via Scons-users wrote: > > Dear Scons developers and users, > > I would like to set up a rather complex test framework to compare the > > changes between different versions (old vs. new) of an executable. > > The workflow also includes different steps (tools) to process resp. > > compare the output files. > > See the attached HTML file (resp. the according Markdown file). > > Any green box should be regarded as an independent component the can be > > changed by me. Any white box is a dependent file that is generated from > > the independents. > > The task is to create a dependency tree in SCons that re-generates the > > (necessary) final output files (b.out.diff resp.b.log.diff), if any of > > the dependent green boxes have been changed. > > I am struggeling with your documentation to conclude, how a SCons script > > should look like for the above purpose, since I am not using any > > classical compiler or linker in this workflow. > > Could you indicate me, how the shown dependency tree must be implemented > > with a SCons script? > > (And maybe explain a little bit why?) > > The way you declare a dependency with an associated action is to call a > "builder": B depends on A, and if A is computed to be out of date, apply > Action to create/recreate B. > > SCons has a bunch of pre-made builders to anticipate things people are > likely to do, but in your case, none are going to apply, so you'll need t= o > write you own builders, or use the builder-like Command function if you c= an. > > Command is much simpler because it works as a one-shot, while true > builders require quite a bit more plumbing setup. Rather than go on about > that, there are two chapters in the User Guide you can scan, then come ba= ck > with more questions: > > Writing Your Own Builders: > https://scons.org/doc/production/HTML/scons-user.html#chap-builders-writi= ng > > Not Writing Builders: > > https://scons.org/doc/production/HTML/scons-user.html#chap-builders-comma= nds > > > _______________________________________________ > Scons-users mailing list > [email protected] > https://pairlist4.pair.net/mailman/listinfo/scons-users > > _______________________________________________ > Scons-users mailing list > [email protected] > https://pairlist4.pair.net/mailman/listinfo/scons-users > --000000000000a047180631a86392 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>wow that's about the most complicated way to shar= e your dependencies I've seen so far..</div><div><br></div><div>I see a= n arc from aOld\b.out.tmp -> aOld\b.out which goes around PreProcess.py = (same for aNew\b.out.tmp).</div><div>How does b.out "use" the .tm= p file directly?</div><div>Or is that a mistake/error in your representatio= n?</div></div><br><div class=3D"gmail_quote gmail_quote_container"><div dir= =3D"ltr" class=3D"gmail_attr">On Sat, Mar 29, 2025 at 1:02=E2=80=AFPM Keith= Prussing <<a href=3D"mailto:[email protected]">[email protected]= m</a>> wrote:<br></div><blockquote class=3D"gmail_quote" style=3D"margin= :0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"= ><div dir=3D"auto">I=E2=80=99ll throw in that the ToolsForFools (link below= ) helped me understand Builders in the context of Second.=C2=A0<div><br></d= iv><div><div dir=3D"ltr">Keith Prussing</div><div dir=3D"ltr"><br></div><di= v dir=3D"ltr"><div style=3D"display:block"><div style=3D"display:inline-blo= ck" role=3D"link"><a style=3D"border-radius:10px;font-family:-apple-system,= Helvetica,Arial,sans-serif;display:block;width:300px;overflow:hidden;text-d= ecoration:none" rel=3D"nofollow" href=3D"https://github.com/SCons/scons/wik= i/ToolsForFools" dir=3D"ltr" role=3D"button" width=3D"300" target=3D"_blank= "><table style=3D"table-layout:fixed;border-collapse:collapse;width:300px;b= ackground-color:rgb(69,37,34);font-family:-apple-system,Helvetica,Arial,san= s-serif" cellpadding=3D"0" cellspacing=3D"0" border=3D"0" width=3D"300"><tb= ody><tr><td align=3D"center"><img style=3D"width: 300px; height: 99px;" wid= th=3D"300" height=3D"99" alt=3D"60082f80-4d90-11ea-8bc5-15d065acb8d1.png" s= rc=3D"cid:ii_195eda91cb9e806cc561"></td></tr><tr><td><table bgcolor=3D"#452= 522" cellpadding=3D"0" cellspacing=3D"0" width=3D"300" style=3D"table-layou= t:fixed;font-family:-apple-system,Helvetica,Arial,sans-serif;background-col= or:rgb(69,37,34)"><tbody><tr><td style=3D"padding:8px 0px"><div style=3D"ma= x-width:100%;margin:0px 16px;overflow:hidden"><div style=3D"font-weight:500= ;font-size:12px;overflow:hidden;text-overflow:ellipsis;text-align:left"><a = rel=3D"nofollow" href=3D"https://github.com/SCons/scons/wiki/ToolsForFools"= style=3D"text-decoration:none" target=3D"_blank"><font color=3D"#FFFFFF" s= tyle=3D"color:rgb(255,255,255)">ToolsForFools</font></a></div><div style=3D= "font-weight:400;font-size:11px;overflow:hidden;text-overflow:ellipsis;text= -align:left"><a rel=3D"nofollow" href=3D"https://github.com/SCons/scons/wik= i/ToolsForFools" style=3D"text-decoration:none" target=3D"_blank"><font col= or=3D"#FFFFFF" style=3D"color:rgba(235,235,245,0.6)">github.com</font></a><= /div></div></td></tr></tbody></table></td></tr></tbody></table></a></div></= div><br></div><div dir=3D"ltr"><br><blockquote type=3D"cite">On Mar 29, 202= 5, at 9:54=E2=80=AFAM, Mats Wichmann <<a href=3D"mailto:[email protected]= " target=3D"_blank">[email protected]</a>> wrote:<br><br></blockquote></d= iv><blockquote type=3D"cite"><div dir=3D"ltr">=EF=BB=BF<span>On 3/28/25 23:= 30, Oliver Koch via Scons-users wrote:</span><br><blockquote type=3D"cite">= <span>Dear Scons developers and users,</span><br></blockquote><blockquote t= ype=3D"cite"><span>I would like to set up a rather complex test framework t= o compare the</span><br></blockquote><blockquote type=3D"cite"><span>change= s between different versions (old vs. new) of an executable.</span><br></bl= ockquote><blockquote type=3D"cite"><span>The workflow also includes differe= nt steps (tools) to process resp.</span><br></blockquote><blockquote type= =3D"cite"><span>compare the output files.</span><br></blockquote><blockquot= e type=3D"cite"><span>See the attached HTML file (resp. the according Markd= own file).</span><br></blockquote><blockquote type=3D"cite"><span>Any green= box should be regarded as an independent component the can be</span><br></= blockquote><blockquote type=3D"cite"><span>changed by me. Any white box is = a dependent file that is generated from</span><br></blockquote><blockquote = type=3D"cite"><span>the independents.</span><br></blockquote><blockquote ty= pe=3D"cite"><span>The task is to create a dependency tree in SCons that re-= generates the</span><br></blockquote><blockquote type=3D"cite"><span>(neces= sary) final output files (b.out.diff resp.b.log.diff), if any of</span><br>= </blockquote><blockquote type=3D"cite"><span>the dependent green boxes have= been changed.</span><br></blockquote><blockquote type=3D"cite"><span>I am = struggeling with your documentation to conclude, how a SCons script</span><= br></blockquote><blockquote type=3D"cite"><span>should look like for the ab= ove purpose, since I am not using any</span><br></blockquote><blockquote ty= pe=3D"cite"><span>classical compiler or linker in this workflow.</span><br>= </blockquote><blockquote type=3D"cite"><span>Could you indicate me, how the= shown dependency tree must be implemented</span><br></blockquote><blockquo= te type=3D"cite"><span>with a SCons script?</span><br></blockquote><blockqu= ote type=3D"cite"><span>(And maybe explain a little bit why?)</span><br></b= lockquote><span>The way you declare a dependency with an associated action = is to call a "builder": B depends on A, and if A is computed to b= e out of date, apply Action to create/recreate B.</span><br><span></span><b= r><span>SCons has a bunch of pre-made builders to anticipate things people = are likely to do, but in your case, none are going to apply, so you'll = need to write you own builders, or use the builder-like Command function if= you can.</span><br><span></span><br><span>Command is much simpler because = it works as a one-shot, while true builders require quite a bit more plumbi= ng setup. Rather than go on about that, there are two chapters in the User = Guide you can scan, then come back with more questions:</span><br><span></s= pan><br><span>Writing Your Own Builders:</span><br><span><a href=3D"https:/= /scons.org/doc/production/HTML/scons-user.html#chap-builders-writing" targe= t=3D"_blank">https://scons.org/doc/production/HTML/scons-user.html#chap-bui= lders-writing</a></span><br><span></span><br><span>Not Writing Builders:</s= pan><br><span><a href=3D"https://scons.org/doc/production/HTML/scons-user.h= tml#chap-builders-commands" target=3D"_blank">https://scons.org/doc/product= ion/HTML/scons-user.html#chap-builders-commands</a></span><br><span></span>= <br><span></span><br><span>_______________________________________________<= /span><br><span>Scons-users mailing list</span><br><span><a href=3D"mailto:= [email protected]" target=3D"_blank">[email protected]</a></span><b= r><span><a href=3D"https://pairlist4.pair.net/mailman/listinfo/scons-users"= target=3D"_blank">https://pairlist4.pair.net/mailman/listinfo/scons-users<= /a></span><br></div></blockquote></div></div>______________________________= _________________<br> Scons-users mailing list<br> <a href=3D"mailto:[email protected]" target=3D"_blank">Scons-users@scon= s.org</a><br> <a href=3D"https://pairlist4.pair.net/mailman/listinfo/scons-users" rel=3D"= noreferrer" target=3D"_blank">https://pairlist4.pair.net/mailman/listinfo/s= cons-users</a><br> </blockquote></div> --000000000000a047180631a86392-- --000000000000a047180631a86393 Content-Type: image/png; name="60082f80-4d90-11ea-8bc5-15d065acb8d1.png" Content-Disposition: inline; filename="60082f80-4d90-11ea-8bc5-15d065acb8d1.png" Content-Transfer-Encoding: base64 Content-ID: <ii_195eda91cb9e806cc561> X-Attachment-Id: ii_195eda91cb9e806cc561 iVBORw0KGgoAAAANSUhEUgAABAAAAAFUCAYAAAC6Ok7FAAAAAXNSR0IArs4c6QAAAIRlWElmTU0A KgAAAAgABQESAAMAAAABAAEAAAEaAAUAAAABAAAASgEbAAUAAAABAAAAUgEoAAMAAAABAAIAAIdp AAQAAAABAAAAWgAAAAAAAABIAAAAAQAAAEgAAAABAAOgAQADAAAAAQABAACgAgAEAAAAAQAABACg AwAEAAAAAQAAAVQAAAAAvbl/pgAAAAlwSFlzAAALEwAACxMBAJqcGAAAABxpRE9UAAAAAgAAAAAA AACqAAAAKAAAAKoAAACqAABe/qgusdoAAEAASURBVHgB7J0HuCRF1YbZu3dzzjmxSw4iIKASVRQE zIDyoyIICoqCElxyhpUogoqggBHXHMhhJYNECbuL5AyiKDku/b/fUD32zO2Z6Un3ztz79fOcqZ7u 6qpTb1V3VZ2urlpuOW8m0BoEOlBjI+R85AXkKeRHyDuRwYg3EzABEzABEzABEzABEzABEzABEzCB XkBgR9LwDBIVycv8PxN5N2JDABC8mYAJmIAJmIAJmIAJmIAJmIAJmEC7EpiH4k8ixZ3/5P+XOH8x shsyGvFmAiZgAiZgAiZgAiZgAiZgAiZgAibQRgQ09P8bSLKzX25fhoBrERkChiHeTMAETMAETMAE TMAETMAETMAETMAE2oDAZHRcgpTr9Kede5Vrbke+hExEvJmACZiACZiACZiACZiACZiACZiACbQw gS+jW1oHv5pjDxDGHog+JfBmAiZgAiZgAiZgAiZgAiZgAiZgAibQYgTGoM89SDWd/XJ+HySss5DN EW8mYAImYAImYAImYAImYAImYAImYAItQkBv/5ch5Tr1tZx7nDDPQbRygDcTMAETMAETMAETMAET MAETMAETMIEeJDCSuG9AaungZ73mv4R/HrIR4gkDgeDNBEzABEzABEzABEzABEzABEzABLqbgCbv exHJ2pmvx9+bxPNrZAvESwgCwZsJmIAJmIAJmIAJmIAJmIAJmIAJdAcBdcKvQsp26lcdMjD6xqTR 0VpDB5b1VymcxPm32L8GORDxygFA8GYCJmACJmACJmACJmACJmACJmACzSTwPgLXMn5lO/aHThkT LVltRnTRClOiAyaPjlYcPKCs/0rhFZ2/mf8yBIxHvJmACZiACZiACZiACZiACZiACZiACTSYwGDC Owcp25lfnbf/F8ybEt216ozoTuT2VaZHf11xanTUtLHRGpwb1K9f2esrhR/O69OAB5HDkOlIB+LN BEzABEzABEzABEzABEzABEzABEygAQTWIoyXkJId+H6c24+h/3etOj3X8b+Nzr9ERoA7kJtWnh4d weiA9YYNioZ1dJQMp1wcKece5dihyDsQGwKA4M0ETMAETMAETMAETMAETMAETMAE6iGgWfnLdtpn DOyMLtTb/9Xe7vjHBoCku5hRAbdgDPjRrAnRjuOGR8P7N8wQ8Cz6acLAbepJpK81ARMwARMwARMw ARMwARMwARMwgb5MQG/X1cEuawDYbsyw6G46+MkOf9r+3zEAaI6Am1eZFp0ze2K0w9gR0fCOhnwa IP2eRv6AyBDAoARvJmACJmACJmACJmACJmACJmACJmACWQioE/19pGznfwxv8n+1/CS++y/99r/Y GCBDgOYKuHnladEf5k6OPochYHzjRgRoqcIrkQ8hoxBvJmACJmACJmACJmACJmACJmACJmACZQis zbmHkbIGgA+PHlpV5z9pDNAcATIGyHjwRxkCxo2I5gxq6MoBf0X/7ZCpiDcTMAETMAETMAETMAET MAETMAETMIEUAnr7/xZS0gAwlOH7v+HtvzryyY59Lfvx5wGXsYTgUVPHRusNHVQy3nI6lTh3B8cP R1ZAvJmACZiACZiACZiACZiACZiACZiACQQCs3DvR8p2wrceNYxh/PV3/pMGA30asAS5FEPAcSwh +K7GGgIWk6YTEBsCgODNBEzABEzABEzABEzABEzABEzABHYFQdnO/yCW8/vR7Am5b/mTHfhG7euz gDuQa1aaFp02c3z0TgwBDVxC8EnS921kJWQg4s0ETMAETMAETMAETMAETMAETMAE+hyBcaT4FqSs AWCb0cOi6+ic/72Kyf9qMQ7o84I7EI00+O6M8dGmwwdHmniwkn4Zz2uFg+8iGyD9EW8mYAImYAIm YAImYAImYAImYAIm0GcIVHz7rzfxZ8yckBuqX0unvtZr9HmADA6/nDMx2pkJAyd19m+UIeAVcvf3 yOcRjwjoM0XdCTUBEzABEzABEzABEzABEzCBvktgEEm/DSnbsV5ryKDobyzhp4n7au3M13qdRgQs WW1GdAvuQiYg3G3CyGhC4wwBz5P2K5DPIZ2INxMwARMwARMwARMwARMwARMwARPolQQ+S6peRUoa AAb06xcdOHl0tJi38bV24htxnQwBGhFwK+5F86ZEu40fEU0b0D/q36+07uXSVXROIwKuR3ZA9EmE NxMwARMwARMwARMwARMwARMwARPoNQSGkRK9/S7Z+de5uQMH5Cbma8TSf40wBCgM6XInoiUEvzZx VLTy4AFl01ApjUXnb+f/7sgsxJsJmIAJmIAJmIAJmIAJmIAJmIAJtD2B3UjBy0jZzvPhU8ZEmqG/ UZ33RoajTxI0MuHalabmlhDcfOTQqF+F9FRKb+L8EvZPQdZHvJmACZiACZiACZiACZiACZiACZhA WxIYitYXIWU7/7MHdUaLVpyae+PeyI57o8PS8oFLMARcia5aOeB9I4Y00hDwIJzOQrSEoDcTMAET MAETMAETMAETMAETMAETaCsC70bbl5CyBoB9J41u+c5/0pggQ8CdGAJuZMJCrVqwKYaAEY1bQvAZ eJ2DrI3IgOLNBEzABEzABEzABEzABEzABEzABFqagGa7Pw0p2/mfM2hA9Ke5k3Md6mQnux32NUeA Pg/QEoJnz54YbT1qaCNXDngNdj9FNkZsCACCNxMwARMwARMwARMwARMwARMwgdYk8E7UegEpawDY n5n/9e1/K03+V4vx4S7SoNUDfj1nUm7CwHkYNiqlPeN5GQIuQ76GTEC8mYAJmIAJmIAJmIAJmIAJ mIAJmEBLETgdbcp2gid19o/+wNv/nl76r5YOf9o1MmIoLRoV8EfStR/GjSmdnWUZVGKUOC9DwI3I l5DhiDcTMAETMAETMAETMAETMAETMAET6HECc9FA37KX7fxuw5D5u1eb0ZIz/6d18LMeyy0fiCFA 7qXzpkTfmjwmmsuIgIH9+pXlUYlXOC9DwF3IXsgUxJsJmIAJmIAJmIAJmIAJmIAJmIAJ9BiBE4n5 LaRkh3dER0d0zuwJbfntf1ZDgPzJCHAHct1K06KDMASsMXhgNKAxhgCxfRD5KrIK4s0ETMAETMAE TMAETMAETMAETMAEupXAWsT2EFKy869zW48aFmk2/Wo60+3sV4aAJYx2kCFASwh+bPSwaEhHQ0YE iPNjyNnI5og3EzABEzABEzABEzABEzABEzABE+gWAnr7vwwpaQDozxvwnzBrvr6Vb+dOfS26y+ix FEPA9RgCfjxrYvThkUMb9WmAeD+BaOWADRBvJmACJmACJmACJmACJmACJmACJtA0AtMJeTFSsvOv cx8YMSS6ceVpbT/zfy0GgPgaGT+0asDf4PCLOROjj48eGo3p7CjLrRLXxPnn2P8T8kHEEwYCwZsJ mIAJmIAJmIAJmIAJmIAJmEDjCPQjqP9DynZiBzHs/fSZ43NL/8Wd4b7s6tMAGQM0MuB3cydFH+PT iBkDG7ZywJvkx2+QrZDxiDcTMAETMAETMAETMAETMAETMAETqJvAWEK4DSlrANiamf/1HXxfHP5f ydChyQLvZlTAX1g5YD4TBq41ZFBZlpVYF53XEoIHIRMRbyZgAiZgAiZgAiZgAiZgAiZgAiZQM4Ht ubJsh1XL4J08fXxuMrxKneG+fF6fBsgQcPEKU6IDMQSsOHhAWa6VuBedv4X/ByMeEQAEbyZgAiZg AiZgAiZgAiZgAiZgAtUR6MT71UjZjupqLIF37UpT+9Ts/7UaMvRpwJ0YAeReBbOjp46N1hwyMBrc mCUE9WnAw8jhyAykA/FmAiZgAiZgAiZgAiZgAiZgAiZgAhUJfBwfryAlDQD0MKOvTxzlt/906Ks1 CuSMAVx388rToyOnjonWHzYoGt7YJQQPJe+0fKMNAUDwZgImYAImYAImYAImYAImYAImkE5gGIcv R0p2/nVu7qAB0TW8yVZnttoOsP3/j9liRgXIEPDjWROiz44bHg3raNjKAc+ST5owcEvEmwmYgAmY gAmYgAmYgAmYgAmYgAl0IbAdR55HyhoA9p40mmXv/teRdae+dhaaQHHJahgCcM+ZNTH6vzHDGRHQ MEPAU+TlQuT9iDcTMAETMAETMAETMAETMAETMAETyBHoz+/vkbKd/0md/aNLmdDOb/9r7/SnGUxk CNA8ATevPC3649zJ0efHjYjGw7pSfmQ8/wL+LkE2RUYi3kzABEzABEzABEzABEzABEzABPowgXVI +7+Rsp3Or/Dt/610Vm0AaKwBIDYKiKvkTkZY/CkYApbnk4tK+ZLx/DL8XYBongcvIQgEbyZgAiZg AiZgAiZgAiZgAibQ1wgMIsHfQcp2NOcM6sy9nVbnNO6w2m0ei/jzgMtWmBodxcoB6zFhYKU8quL8 zfg9AJmJeDMBEzABEzABEzABEzABEzABE+gjBFYknf9BynYw9+Tt/x1++9/txo+7+DRgCXIZn14c gyHgnSwhWCmvMp7XiIC7kcMQLSHozQRMwARMwARMwARMwARMwARMoJcTWED6ynYqJ3Z2RL9bflJ0 DxPW+a1/8976l2OrkRcaFXDtStOi02eOj9YeOiga2pglBGUIeBw5DJmLdCLeTMAETMAETMAETMAE TMAETMAEehmBqaRHnb+yBoAZAzujH9DpvJ5J6pZiBFBHtFxn1eeax0dzBGgkhpYQPHH6uGjj4YOj Uf0btnLA05SF45B3Id5MwARMwARMwARMwARMwARMwAR6EYHdScvrSFkDgM4P7NcvWpe3zvuxDOAV K06NFmMI8GSAzevoZzGi3M2nAcqDn82ZGH2WlQPG9W/YygFaDvJXyLaIVojwZgImYAImYAImYAIm YAImYAIm0OYEjkB/DQGvaACI/QzAELDK4IHRQZPHRNesNDX3NtojAnrOECADwBKMMTcxIuBXcyZF O4/HEMAnG3F+1ek+y/UXI59AbAgAgjcTMAETMAETMAETMAETMAETaFcCu6D4G0jVHUYZAmbzacA3 J42KLmaCOnVE4zfSWd5e209jjQYywmjCQC3TeOEKk6PPMyJgyoDOqKOGvE0pDy9z7ApEhoCxiDcT MAETMAETMAETMAETMAETMIE2I6A5AO5HqjYAJK+ZMqB/tC+fBvyeiQLvpBMqQ4A7+I3t4FfDU8YY TRoow8zuE0ZGKzNiI5lfde5fw/VfQFR2vJmACZiACZiACZiACZiACZiACbQRgfeja91GAMKIJnb2 j7YeNSz6/swJuQ6oOqHVdFztt7G8NCpAnwdcxZwNR7GE4CYjhjTSEPB38vzbyBqINxMwARMwARMw ARMwARMwARMwgTYh8A70PAd5Cam7kzgeQ8BWo4ZGZ8+akBuSro6o3kq7g98zDGSIWcyojEUYAr7D ygEbsnJAR7/68zmUlftwv4vMQryZgAmYgAmYgAmYgAmYgAmYgAm0AYFB6LgKcjzyGFK3IUDr1L93 2ODou4wIuI4lBPWNukcF9IwRQMaXOzAESG4gL36IcWYzRgQ0cAnBpygz30fWRAYj3kzABEzABEzA BEzABEzABEzABNqAwAx0PBm5C6nbEKAwNh0+JDqZt896C72UYenqiHpEQM8w0GgMjcpQHpw9e2K0 zehhuc83GpTXGkVyBvIeREYlbyZgAiZgAiZgAiZgAiZgAiZgAm1AYAo6fh65HGmIIWBVJqTbbfzI 6FImqFvCiAB/GtAzRoDY+HIXRgBN2vgbJnD82sRR0QqDBjQknykvMgRoCUGtNDEC8WYCJmACJmAC JmACJmACJmACJtAGBDTj+xeRm5CGdBDV0fwSa9ZfusLUnBHA8wT0nCFARhjNEaA8+PPcydG3Jo9m CcH+DclnysuLyLXIZ5EhiDcTMAETMAETMAETMAETMAETMIE2IKA3udshf0XUsaurk6g16rVywM6s WX8+Hc9bV377bbQ6ovEbarvdx0KGAC3jKPcyRmjMxxCw/MAB0YB+/erK51BOXsW9DdkNmYR4MwET MAETMAETMAETMAETMAETaAMC/dFxR+RC5D9I3R3ESRgCdmVEwC/nTMqtHKDl6/x5QPd1/osNLWKv OQKuWmlqtO+kUZE+3ZDBphF5TRiLkU8hnYg3EzABEzABEzABEzABEzABEzCBNiDQDx012dtxyLNI 3R1EzUr/fmanP3XGuNwoAK0cUNw59f/uMwzIEKC5Gq7KLSE4Ptpy5NBoYGNGBLxOefkmgl3BmwmY gAmYgAmYgAmYgAmYgAmYQLsQUCduXURLCP4bqdsQMAZDwEYjBkffwRBwC51QfRbgTwO6r+NfbGTR aACt3nANIwLOZFnH92GkacCnAc9QVqYh3kzABEzABEzABEzABEzABEzABNqMgIZ0z0GOQR5F3kLq MgYM4m3zWkMHRafNGJ97C61v1CXFHVT/7x7jgAwB4n/jytOin7CE4FajhkYy1tSRz5/kWm8mYAIm YAImYAImYAImYAImYAJtTGAuuh+N3IHU00HMX7suhoBjpo2NLtESgryNvpPOqDv+PcNAnwZoRIYM Aucxb8PWo4ZFUwd05vMqY57LQLQT4s0ETMAETMAETMAETMAETMAETKAXENCM79sjlyDVdhBT/WsJ wd0mjIz+yMoB8fJ1NgT0jCFA3GWI0VwNfyA/9p00mgkDB6TmW0r+ax6ANRBvJmACJmACJmACJmAC JmACJmACvYjAZNLyceRipO5PAwgjmjmwM/ocSwjKEKA30Xoj7ZUDesYQIO53YwTQyIxz+TRg8oD+ WYwAF5CPgxBvJmACJmACJmACJmACJmACJmACvZDAUNL0PuQypCFLCI7mG/Qdxg6Pfr38pOgmvk33 qICeMQJoNICMACdPHxf171dxtMcb5P/WiDcTMAETMAETMAETMAETMAETMIFeTkBLCH4I+TXyJJLl jXFZP8MxBHx6zPDox7yBvnnlt2et94iA7jMGaATGNStNi949bHDZfAp5fT7uOMSbCZiACZiACZiA CZiACZiACZhAHyLwTtJ6JPIgkqXzWNaPlqfbaPjg6LApY6IbGBGgt9KeI6D5hgAZAE6cNi7CslM2 f8jjV5FPIN5MwARMwARMwARMwARMwARMwAT6IAGNCFgZORB5CKnUiax4fkjH20sIHhoMAXfQQfU8 Ac0zBNwC33cNzfT2/3bydyzizQRMwARMwARMwARMwARMwARMoA8TkCFAKwcchNyDaKb4ip39cn40 IkAz02tEwGUsIajPAjRrvT8PaJwx4C4mYTx9xvhoEEaXcnnBuWXIwYg3EzABEzABEzABEzABEzAB EzABE8gT0Dfi30BuQCp1LDOdn8vKAVqq7oJ5k3OfBvjzgPqNADKkSDYbMSRLHtxPXs5AvJmACZiA CZiACZiACZiACZiACZhAFwLDOPJJ5BfIm0iWjmZZPzMwBGzHhIFasu5ulq7TpwGeJ6A2Bovhd+L0 8dHwjo6yzEO+6RMPbyZgAiZgAiZgAiZgAiZgAiZgAiZQlsAozr4f+RVS96cBhBFNYr36rUYNzS0h qLfYniOgOiOAeP2d4f8fHJnp7f9TMJ+OeDMBEzABEzABEzABEzABEzABEzCBTAQG42tj5DzkGSTL m+eyfkbw7foWGALOnTMxuo6l7PRpwB10bD0qoDwDcfrV8pOiMZ39y/INeXQ0bgfizQRMwARMwARM wARMwARMwARMwASqJrABV5yJPIpk6YSW9dOfCQP1NvuMmeMxBEyNljK8XasH2BDQlUE8ieLuE0aW ZRry5Wnc1RFvJmACJmACJmACJmACJmACJmACJlAXgdW4WhMG3oZk6ZCW9dNJGGsPHRR9Y9IoVg6Y Gi3BEBB3eG0MeNsYoOH/f5w7JRrTP9O3/4eSLwMQbyZgAiZgAiZgAiZgAiZgAiZgAibQEAJzCOVL yH1I2U5+lvOd/ZaLVh48MPrW5NHRVYwIyH3zTsfXxoC3GWR8+/9PWK+LeDMBEzABEzABEzABEzAB EzABEzCBhhOYQIi7IrciLyN1GQM6+TRgJisHfH3iqOiCFabkDAD6/r2vGgKU7itWnBJNZhLFDGz/ gB9/+w8EbyZgAiZgAiZgAiZgAiZgAiZgAs0jMISgd0GuRl5BsnRYy/qZSKf3mxgCfsPkd3dgBFiM 9LXPArT039dgoDkTKjB9kfMfRbyZgAmYgAmYgAmYgAmYgAmYgAmYQLcQGEosmyNnIM8hlTquFc+P Y+b7D48aFp02Y3x0JysGSPqCIUBGjwvmTYmWH9RZkRGcz0eYUsGbCZiACZiACZiACZiACZiACZiA CXQvARkC1kPORvR2OksntqyfsZ0d0YdYOeBHsyZEtzI0Pp4noLcaA7Qywlcm6O1/RXZvwXcbxJsJ mIAJmIAJmIAJmIAJmIAJmIAJ9BiBgcSsZelOR55Aynbys5wf3NEves/wQdGpjAjQEoJ38aa8t40K UHquXHFqtBoTI2ZgciV+ZHDxZgImYAImYAImYAImYAImYAImYAItQWAFtPgeshTJ0rGt6GeTEUOi k2aMixaxhOA9vDG/o5d8HiCjxncwcPRfruK3/3r7/2nEmwmYgAmYgAmYgAmYgAmYgAmYgAm0HIFZ aPRFRG+uK3bys/hZhTflX5owMrqUlQM0WWA7rxqgTxuuZmTDuxnlkCHtF+NnLOLNBEzABEzABEzA BEzABEzABEzABFqWwFQ02xm5CdGb7Cwd3rJ+5g0aEO0WDAEyAqgz3W7GAOn8/Zm8/a/87b9Y7Ih4 MwETMAETMAETMAETMAETMAETMIG2IDAcLT+FLEJeQMp28iud78f1E1g54AvjRkR/njc5unXl6blR AepYt8OEgZrgcNPhQ7IwuBsWMqJ4MwETMAETMAETMAETMAETMAETMIG2ItCBtjsgWtLuWSRLJ7is n/GsHLALhoCfzZkY3UzHegnzBLTyiIA70PEnsydGg/tV/Pb/TficgHgzARMwARMwARMwARMwARMw ARMwgbYlwEv85d6NHIc0xBAwnJUDNGHgydPH5ZYQ1CR7rTgaQAaAzdCTdFeSh/AzDfFmAiZgAiZg AiZgAiZgAiZgAiZgAm1PoD8pWAdZgPwLqdQprnh+VP+O6L3DB0cnTBsX3URnW58FtMqnAXdjlDhj 5oRoDKMWMqT1ePx4MwETMAETMAETMAETMAETMAETMIG6CUwihMOQNZFBSE9uMgTMQo5CHkbqnjBw IEPsVx8yKDqFEQF/XXFqdCed754cFaDPEhT/NqOGZun8/wcG8xBvJmACJmACJmACJmACJmACJmAC JlA3ga8Sgjqj/0W+g6yHdCI9vc1BARkCbkeydJYr+nnH0IHRkVPHRhfOm5KbI6AnDAF6+//75SdH Ewf0r6gv6T4FaYW8QA1vJmACJmACJmACJmACJmACJmAC7UxgMso/hCQ7o8/x/w/Ih5BW2CaixPbI xUhSz5r35wzqjHZmwsDfLz+pW1cN0Nt/zfz/FZYvzJCWx/DzDsSbCZiACZiACZiACZiACZiACZiA CdRN4CBCKNUZfZpzv0I2QjRrf09v+lThY8hFyDKklN6Zj08f0BltP2ZY9BveyN+x6ttzBDRz5QDN QXDRClOiqdne/p9EGv32HwjeTMAETMAETMAETMAETMAETMAE6iOgIfaLkUod5hfx83tEnwYMRXp6 G4ICmyGXIg1ZOUATBn5m7PBoISMC/rbytKaNCtDM/3tPGlWJt85rFMZ7EW8mYAImYAImYAImYAIm YAImYAImUDeBIwlBa8xn6ZDKz0vIj5GNkcFIK2ybo8RC5AkkazpK+hvav1/0ydHDorNmTYxuxhCw dLUZUaNGBCicq1eaGs3m84MMuupzh56ekBEVvJmACZiACZiACZiACZiACZiACbQ7gZkk4H4kS2e0 2M8rXKdh+J9EWuHTANRYbi3kCOQhpFjfqv8PYOWADVlC8NApY6IbMQQ0YrLAxUz+t9fEUVG/yvq9 QBo+gXgzARMwARMwARMwARMwARMwARMwgboJfJkQ6l1iT8Pv/4JsibSCIYC+9XIrIfORB5GqO/7F 1wzu6Be9gyUED8EQcAOGAA3h13f81Y4K0PwCV7IE4cqDB2bR6Wr0GIh4MwETMAETMAETMAETMAET MAETMIG6CGjm/7uQLJ3RLH40IuAyZBNkBNLTmwwBWjngAGQJ8hqSJR0l/XQyImDlwQNyIwIuZRI/ GQC0nF9WQ4A+Jdh30uhIIwsq6CKjzPaINxMwARMwARMwARMwARMwARMwAROom8BXCKFSR7SW868T rr7H/yDSCoYA1FhuPLI3cj1SS5q6XLM83/DvQ2f+/HmTc0YAGQJuwyBQSjRq4PqVpkXrDB3UJawU nW7j2HDEmwmYgAmYgAmYgAmYgAmYgAmYgAnURUBv/x9EsnRGa/WjiQWvRD6PtIohYBi66Lv6nyPV THxYksGMgZ3RdmOHRecyYaCMAPo0IM0IoHOnTh8fDaz89l9x6e2/RjB4MwETMAETMAETMAETMAET MAETMIG6CBzI1SU7tQ0+14qT2Y0ijZshv0Tq/jRAvCZ29o8+PGpY9GuWELyNb/1lCIiNAXKv4+3/ h0YOzcL8WsKbgngzARMwARMwARMwARMwARMwARMwgboIzOHqxUiWzmgj/PyduObVpXHzLtYkexsi 5yFPI3Wnd3j/jlxH/5zZE6NrWe5Pb/7vwiBwLv87K4e/DB12RbyZgAmYgAmYgAmYgAmYgAmYgAmY QN0EtExeQ4a/E06lDrMms9uzbo27J4D1ieZM5HGkUroqnu+/XL/ogyOHRGfOmpB7+//hUZne/mtJ xlmINxMwARMwARMwARMwARMwARMwAROoi8B0rr4HqdiBbZAfxaX5BtppWxNlv4loIr66OQ3im/93 MvFfhpn/ZZQ5HvFmAiZgAiZgAiZgAiZgAiZgAiZgAnUT2JkQ9Fa+7o5thjA0nP1YpF03vYnfDbkX 6Q5mTxDPiog3EzABEzABEzABEzABEzABEzABE6iLwASuvhnpjs6/4ngYUSe63TctIbgHohEBLyHN 4vc9wvZmAiZgAiZgAiZgAiZgAiZgAiZgAnUT+BwhNKvzmhbuYXVr3FoBDEYdjaC4BnkdSUtzrcde JLw1EG8mYAImYAImYAImYAImYAImYAImUBcBLXu3BKm1g1rtdfcRV7t9+58V8HA8fhD5AfI8Ui2b NP+nEU4/xJsJmIAJmIAJmIAJmIAJmIAJmIAJ1EXgS1ytb/LTOp/NOKZJ9Hr7NoQEvgv5EfICUitH GRG0AoE3EzABEzABEzABEzABEzABEzABE6iLwDCuvg6ptYNa7XX6Vn420le2AST0HcgZyGNItbx+ yDVDEW8mYAImYAImYAImYAImYAImYAImUBeBL3J1PW+oq+nQarb8verStr0vXgH1T0f+gWTh9gr+ PoB4MwETMAETMAETMAET6OUEDjvssJEHHXTQCrjz9tlnH72k82YCJmACDSWgb/+vQLJ0RhvhRx3f KQ1NQXsGtjxq67OL65FyXBdyXpMLejMBEzABEzABEzABE+ilBNTxRw46/PDDr8a9H/c+5K/s73X8 8cfbENBL893JMoGeILAhkb6KlOuENuqc5hg4ticS2cJxTkO3XRF9FvEmErPW/oXILMSbCVRNgAZD x7bbbtt/4cKF/dnvjEX/dVznCdQTS1ZN1heYgAmYgAmYQGMJ6E0/9fLPjzjiiGVHH310dOSRR+Yk 7L+GIeAHe+6556DGxurQTMAE+iKBgST6+0jc6Wy2+zBxzeyLoDOkWSsHbIUcH+SjuP7uHwjeKhOg 0aC3BtNpOKyDfI79Q5CzDz300Atx9SbhZvbvxr0VWURD4i+45yEnIF/m/5a4qx944IEzcEdGUWTD QGXs9mECJmACJmACdROg3u2gHt7lqKOOiqjDI/4XiI5hEHjrkEMO2db1c924HYAJ9HkC+h79GaTZ Hf84/KP7PHEDMIEGETjuuONG0ShYn0bD3jQWfkUH//7QSMg1ILTPuZKi87F/vWnQPuE8iPwaOYRr P4m73rHHHjumQSo7GBMwARMwARMwgSIC++6772Tq24tkAMBNlXDu/AULFowoutx/TcAETKAqAsfg O+6cN9t9iLimVqWdPZuACXQhQEd9NRoIxyLXIs8dc8wxUam3BqUaEqWOywigsBSmhh3i77/I9ci5 Bx988B6KG4U8OqBLrviACZiACZiACdRGgPp1DerZx4MhPtUAIIM+fp6hbvY8WrVh9lUmYAIQGI08 iDS74x+Hf4Cpm4AJ1E6Ain8mcgqNgAfVEFAHvVRjQeclOl9KYj+EmdrY0HFdK4NA+AbxFY5dhkys PRW+0gRMwARMwARMIEmAenV16uTHStXpqo9VZ+M+fcABB9gAkITnfRMwgaoIfBnfryNxB72Z7lLi 0ecG3kzABKokMH/+/HFU/F+n4n9UDQA1EEJDoKDjrmPqrGs4P37VWf8n8jDHl+LeifwNuR25B3kQ 0fmX5T/LCIIwImAJ10yvMgn2bgImYAImYAImUIIA9ao+Abg41LMFdTvHc/9VT7N/ETKyRDA+bAIm YAJlCWhyuUVIMzv9ybC/RVyacdybCZhAFQQ0LJAO/6XqpKd1+tUwkEFAQ/Y5/zJyE8fOwt2dazfi W8HUzjrLCU3kuvfib1f8/wRXxoEXFI7CU7jFEhofd+Fq5QpvJmACJmACJmACDSLABH+7YAB4i/q4 S/2repl2wDLq5R0aFJ2DMQET6IMEPkma/4MkO+nN2n+EePz2vw8WMie5PgJ04PeiIfBo6Hh3aRCo gx7OPcX+AvxuVuuEfVw/mgbGRjRADiWcx9IaIDYA1JefvtoETMAETMAEShHAMK9lAE9W/Rsb/eN9 6uc3OXc8MrjU9T5uAiZgApUInImHZnX4i8M9h7j89r9Sjvi8CQQCCxcu7E8lfzjyihoBuF0kvKV/ A/eXiCYP6mwUQML6INLlW0QbABpF2OGYgAmYgAmYQFcC1L3Dke2QC1jZ53HVxcgfaAt8TAaCrlf4 iAmYgAlkI6DJQ+5Eijvqzfj/LPFsmE0t+zIBE6Ci7+Qt/Pdwl4VOfpfOfzAKPMIIgR3xN7AZ1NBh f9486I1DPn4bAJpB2mGagAmYgAmYQCGBU089dRD1r4wBw/fcc89BhWf9zwRMwASqJ7A5l7yBNKPD Xxzmn6tXz1eYQN8kQEXfQad7b3W8K3T+b8Tves2khHHhncTxKmIDQDNB9/GwTzrppCEYmzajnH0E dyvceX0ciZPfQAKhE7VxKF/b4K7cwOAdlAmYgAmYgAm0BQF9O3Q6UtxRb8b/N4lng7agYiVNoAUI 0PH/OvIaku9002DN7wejwDVMEjSp2eoyeeAI9PhXUhePAGg29b4XPuV7C0a0vKHJJ8PIlkP6HgWn uFkEKF+b6pmq8iXh/wnNisvhmoAJmIAJmECrEtDs3Y8jzejwF4d5KfEMaVUQ1ssEWokADdP3IP8u 9eY/HL+DSf665Q3pokWLOtHnbzYAtFIp6V26UL40vPXHWvYqlLO3+H9A70qlU9NTBM4+++zBlKdT 1fFX+QrP0GN7Sh/HawImYAImYAI9ReAjRFzcUW/G/2XE46VKeiqXHW9bEaCROpHJfq4Pb0Dzb/w5 nttX45XzMg5s0l0J23bbbTUR4blJg4RHAHQX/b4RD+VpA8q2lq6MDQBa4soGgL6R/U1PpT5jomw9 E5cvGwCajtwRmIAJmIAJtCiBM9CrGR3+4jBvJp4ZLcrAaplASxGg07OAxukyNVTjTn/SVcOV76P3 7mal+xHvt5JGCRsAujkHenl0lPEz4/IVyr4NAL08z7szeRhNTwzPLI8A6E7wjssETMAETKClCAxH m4eR4s56M/5/lXj6tVTqrYwJtCABOtlawu+ZuCOU7PhrX8OjcRf2xPI/xLt13ICWLjYAtGABalOV KPeaZPIFlSuJDQBtmpEtqjZlamXkuWT5kiGV//4EoEXzzGqZgAmYgAk0h8AWBPsy0owOfzLMp4lj reYkwaGaQO8hoKV9aJCeEDr5Xd7+q8GKvEjn6P09kWriXo249VY2p5sNAD2RC70zTt7Onhk6/TYA 9M4s7tFU8cw6PnT48+Ur/LcBoEdzxpGbgAmYgAl0N4FTiTDZUW/W/uXE09ndiXN8JtBuBGikrkgn 6J/JjlDc2ZYbOtyXaSmrnkjb/Pnzx6HHUchpyKnI99B1Pu7oZumjkQ6EPxGZiSzPyIi5csN/HddI ph7d0GFgLAsXLuyfVRmuGaoVHA466KA5IV2zDzzwwGkcH1tNOFnjy+pv7733HsJEaROCLnnu6DiH Y7PQb/Jxxx03arfddhuQNcxy/vg2ezXCfKy4g8axbv0EQMyJM5eXZ5xxRqa0HXDAAZNC3s0TH66f igwtl95S57huMHxnUB5WIizJ3GaM9FH+EtdMxYO7IqK34wNL6dXo45pPROWHOCfzTFN5yt3Xug/Y n6l7Yr/99hvRqHiJYwbhPlJcvnrQANAPfUYik5HpyOxQhvRcmx2Ojcft8WdbLXmgpTzRPV++VJaz 3k/VxKdyrLyN7xfcptwvsU6qd3kujkt7Lqoc8yyYQrpHI027l6Io6hdeFAwMTBs+sjYOX+lAOuL0 V3LxqzKt51/ufg51xVTd65Wu7Y7zeu7sv//+o0I+5e453XfhuaP7UPecVkbzZgK9moBm478RaVan Pw73DeL4Vq8m6cSZQIMI0BE6iAop94aKiqjADUaBVzm+R4Oia9lgQqfgg8xz8E3Sey5yLfIQDP6F q2G8msjrIVwd/xmyF/83V+epuxJFnGosvId4d8c9GTlFLjp/qJwO+BlIx2N93C8iZ3H9DbhPIv9F nkDuRi5EjuHclhhdJpQLr1HniE8d/Q+g/5d4G38G+1cidyEPIc+ii/T7J/Iw+3/D/S1yPLIT8p5a 9VTjkPh+RJgFc17wX+V/Gfrs36g0lghHnbFVkU8gRyPKx1OIf34lIwx+tI789ch/kOcRGe9uxz0L 2UkdkxJx5g+rQY/f1bnvP4X7PeReRCxk/HgSd8u85zp2wiSeuXRS/r5PuA8Q/pvIG6EjvHIdwVe8 lHg6iWcN8vPjxC0j4m/J91vYf4T9fyO6r58Oeume+Dn7B+L/o+zPrhhBCQ9cO5xwlJ9vIPlnqvaV btyjSlza0MPooc7UWsgniPNg3IXITcg9yBMc0/31LKJngY5dgZzL8QORrdhfHWnZFykyBsJThrxP oe8PcR9CcuWL/8so33MaAVT3C/WkPpPbDvkBEt8vb1GeHue/RrY2bMMYpU79B0jDl3C/i1yKxM/F uD7Sfa9yfCvyJ+REWOyEbMT+1EYow7NkBcL6CGEegvsdeOaeUeyPb0T4hDOTNGxOuPsqfPb1HDwS g8eq5cLHz2j8boaorl6IezsiLnomPqz/uKor9kM2lHGoXHjNOEe8a/Ic2Rb3KMqInju3hbKie07P HT1ndc9djuilxi64GyBNe7HRjHQ6TBPISmBDPD6KxB31ZrmPEcf0rErZnwn0VQJ640WF8xCSb6Qm 96n41VhdyrFeWymRNjW01CleguTW6cYYkFsPPqQ/9224zuk/jZXcqAgt6yVWHFfn+afIxs0oR6Ex uCPhn4uo8f6i4uZ4XlcaFkemxY3fiei3N+5luP/VdXHalJ5Y4nTpfDh2E+5n1fBNC7feY+izLnIu cYhdxLKSufSIrXSpxD2wf4HrxUMN5Eyfe+FvHtccisiI8yZuWrl/i3Nn0OCXwWTDjLKxOt7lOu+E o87oRuTV4exfgDyi9Cof47zk3MOl3lrqevQ9GHlBeSjdYxEvHRNHhZ2WPxzvwI+MR0q/4n9M1yhu Xc//XNnG/Rd6fTgtjKzHCHc9lUniuQjJpzOZr4qXuJpiANAIBhrfKvcXI08onXHZlw5JPdAv9z95 X4fzS7j2R+yvU0W6Z3HNAYR5FW5B55//OcaKj309L9ZDMpUvjIwb41eGlEydcfwNJJ6vIJew/3Rc vsQhvsekR1KU5mIGXPt4CGMv9msaYZKVXTX+0EUdpaMpY+oYPya943KcTBPHazYAEG4HovzR/Srj 6ONp9ws6PM25hhgAeOa8i7BkKFOH9q0sz0XlW6xXeC6+wrV/VzhIpudikj3XrMv1++Oej9yv8BWu +GI4Vdl9EK4rJK+pZp/rVY6/CrffEs9i9pfF6ZTLsedlgEsLE13W4LoF+JEB9I3kPc2xXHmWvjET nef4y/i9lGMbpYXZyGPEM5j4dsX9M/Jk1udOfH9yzXMhbSdh3G7Ks7GR6XVYJlANgT3x/CrSrI5/ HO7CapSyXxPoqwSocLagwnkdN9c4TXOpcM/sjXxoxKxCo+CnpP9pVdQS9vMctK+GhNx4P/lfrHQ8 ca0s+j+pp3EkzupE0nCZQPg7IXpjp7cEz6uREDdy+Z/TU/Gzrw7rIck8wt8k8u1Ijt+Fn9eKr4uv T3PjNJFWvV0+HmnY0FLC0pvRowj70QS3fFrEN8k4+b9YV52L00WDcX4y/cl9rutQnsBDDeL7iP8t Xad0FoeZ+K+0P4ZodERFIXy9QT0dyQ+fZr8jDGtVZ0Vvn/+Gzgor16DmmgIdgj5L0wwAXDMU+R7X v650K4w0UZgcvz5Ov97A4/8dhH0gx6/D1dvKfPzFYYSwNRloVQYAwlFnaW3y4VDiuAYRu1z+FKcz jlP5z35DG7mE14kO/4d7Izrkyn1gkuOl9CX46b7RqIe3kOTxgvsaP48i+8E01RjGOZWvOZQvvcH8 B/JmhvL1AtdlLl/orPIlA+DIOG9LucS9Nv4u4JpX4vuD/wXpF4M4zdqP/8f+5Oq82IVO330cm10q zmYfJ+4OdFTn+AjkOkSGibLlK+hflQEgjFhZizKk0RI3EEbB/cqxHMfYFTf2n0LqMgCE5wTBHPao mCfrIqVD8Ui0X/yfawp00nldH/J+nwp500+jKIhzFa5Tmq+WDsgbul66KLw4Dv1nfwkyr0K48el+ +O3kujmEo7f1Mtg8hLyq8JPp5Fh8D8qgsnUcAPsdGFdXwf0x8rD00bVy+V9RxC3Eo7zcMQ630S76 vJ/w/4r7UmCf0016hnKi/3revCkXyeep9uP/iWsf5NiFiEZ3ZJZGp8vhmUCjCKgjEXfSm+nu0CiF HY4J9GYCVCw/VAWFW0pUYX28NzEgrQPVSSBdT8QNq2T6E40SNbrvpmGvRsvvEbl3I2rw5RoVcmOJ wyJcNU53T+vIVeK4zz77TCS83yD/IrzXCadLIyGOT67O46ojk1u3Hnc68i3kEc69JZ2Cn7yenMu0 H65TQ2UBkunNY7n0wXUGYV4Q6xXroXhCw1LDN+9F1AhVg+d85GbkQeR55Uvwl9df15I/SuOhpeLm Wg0PVoerLEudj0XhxvmZxdWbJq79ZfIbcsLYk2v/wfFXkFxelMsPxYm/LgYA0j2Nc+co7cFPXk/8 F+wHPtfELDi/A/IisixOR7kw5Ae/tRgAtibulwk7UzzEEd8/DTMAEP9c4pfBLGckSaYzcFHa1AnQ 6I/TSet+uF/F36G4f8R9DNG91IUpx/VZyIGc6/JtMue2RPTmrmnlS50C4j6/0nfN+NFQ/6eKy1lI v9KmZ9MduHqW/RG5AtEzTVyWJZ59eQbh2vvphM2Ny1V3u+j2CXRT+ap4H+E3p7vyA92rMgBw7ecQ vTHOVI7D/VKXAYC4xiNaijSXNvaT+mv/eeR+nnPXInqz/BfSps9VHkSeU/6EPMpdx7GcK92QXL1Q Kr/w+2FEo6heQiqmOcST2QBAmO9B9DzXaK03g04ln2OB59P43ZxrZFRcHTkD+a/yU+fl8r9qke5c +1/cT5XiUctxGW8Id090eq5YvxDna5wTMz1zvorsgP/d+f89RJ91vKL7DrdAFFYtUksafI0JNJuA ho9pYr5mdvwV9vNIt32TS1zeTKAtCWhyISqd20KlXlD5xJURDY7n2J/clglMUZoO9jDSczTSZXiu GhahAbyYdJ+IHw1TL2jwhzeq69MZ0Bvde9IazKq0CUvDy4+qdjI1hv2tGusmfWLhWGr+6Dzn9EZB bx8/S9x3hUZH3r/0kZ7qRMSi/zpeKtz4eEiLhmR+JgVn5kOENxqmlxeXtZA+NZD+gHwE6fKGk2My anwaOQ//jyT1DulXx6ZgBERSMXTfU0NLdV1SuKZk+hVu0m+l/WAAOC9pACB8ddjyeRjSWjZOrikw AMBrDscuLuZWSvfgL28AIM4v6ZjyOymlwlM6CbsWA8B2SmsyDu2Xikf66zxuQwwAGjpNWu8sjk/M FQ/p0tt2jWZZO1k2kvucWx3/Mr51ySOFg7yKdBmazLHPKu3FZSQtnPiYwiv2X+5/MABcUM4AQNhb E67mzSjQX+FyTOk/nP13JNOsfY6ro7UWcghyJX5f1jXs5yQwva+HDQA7LliwoKryJQ7oXpUBgGu+ UlyGy5XjwKlmAwBGYo3s+ZniiHnLle6IRubJEPppjQgrzjfKxBT8bM/5s3H/kcwzhaH/HC85Mkrh 8Ww8QvmLvwLR9WkSykI1BoAvVxN+SMM/9cxGpwMRfY6U10V66r94xXWZXP0vTn8Z/e/j3OrFPGv5 H9pQx6FXbhRRMs6g9724e5e6b/E/lGt3RxYn05kMp9r9WtLha0yg2QQ0MdEjSLMNAL8hjsHNTozD N4F2JxC+cX68VMUZjl8tC3e7p1X6h2H1vyhubKmCVcMCVw2uY5GZWdJLg1ids2O5Vh3wfCNF+wpP FTquOhRjs4QnP4SpoY56G6NObbEUxMH5+L/e0ufePsSNCMWfSOed5KVGMJzF8dNwf4T8jg75PbGe /I/D6uIqHPzpTfzErOlI+uO6wcS1IKFPLg7FzbkXkZ3KfTtfFJbeCP0xLrMhjLIGAPzugDzAdRpd IPkHov/q0HVJL8cU3r/EBze+pqzLNQ/i98SkwYdjfwgdN4VXLGnx6ljeAIDO6/P/liQ3pVt5rGOh fBWEE/I/bwDgen3icwHuRQnRyIrrkNwIE9x8GAqf/7UYADbk2ku4NhnPhfy/ClHa83HE+yFddRsA 6Cx8krgfSXKK4yDtivdnPOvWSJajUvsKC/+p+ooN55U/Bd/C41+TpD2ImysjxKnydT+SWr44Lp00 8d5SpGy5is8T5gPs/5BOcOoqBTw3VuB8FwbSmePXI5k6PGGlhk8T36Ph2lw54/r7iKMnRwBsij6X okdx+boWXVPzi+PSvVoDwFZFcSg+3S/XE16p+6VmAwDhfjvcs8qnnEhvRKMdvsKxTCOv8Lc8otEB +XCUf4RR1gDA+UMR8UuK6pNUpkHXzAYA7pddqwk/6C+DcG7EV1wG5Yb7W3WjyvOvkR8QtuqznyAa WZabCyK+hmN5Fsl9hcOz/eccy8S21LMiTKR6auBcEFfgtEj1eanrk8fRaQY63VhO95iB9C8nyXC9 bwKtQmATFHkTabYBYFfi6NcqibYeJtCqBGgUf5lKUA2NgsorrixViVEpfb/eirIV0r9o0SJNoHaW Ks7i9Oo/os7/V6sdti//ug55LS1cVdowPJfzmb6jD28U1MldMymEswn/S74lUDwS/Cgtr+Kqg/dl jq0TlkUaG0Y/DFYnlTfiY2icyICxMSKDwEvx9ewXlAeli7KgERNb1ZKXhKu3sy8qnGTYoZF0VLVh EsZe4do4L9VYLTkCgHMj1XnhGi17mBPpxPG743DYj9nJVQP4ePGJ/VdyFT7XTETyI0bYn8099k7c gryEw6HF8eInTstS8eC/3kbfEZfXwE6Te11BeTqS899AZKxSPucnMwzhJg0Ag7VSQlLwPx75APLv 4jwP/6s2AIRvmCcWx0N466Oz7q2CvNd/pQ23LgMA4W9CGE+l8eScysUpSJdRJaXKHH53QFI7PxyX vuqcFMyPwP/hxeWLY2uS7tuL9VI+BsZ6rs7mfKYyFsrXZK7Jl684DTKecfywYGzKc1ZcHNZnNSVH PcRhJF38j0X+GvKnJQwA4bnYpXyh56ZIan4p/eKbTFulfcJKvV/oyH6Ic8+GvMszDv9rMgBw7TqE qZn88+HxP+b9C/a75HU5/fG/H5I3Rks3wi5rAKDMTOKagudT+K9JH+NnUl6/UJ4zGwAIQ2UpLXzd Z/8p5qk4JToe9FfeahSiPlfZDlHdOBUZHZZ9HBwmMh6PbjKCfQK5mHTr08W83hzL74c0PM6xFcvx rHSO63dC9EzOh83/OP8U/rqVwkiex7846ROdgvDiMDn+Y/a/iPulcpIM0/sm0CoEdkKRZnf+XyGO qm66VoFjPUyguwlQmZwQKsMuFY4qHTUAafh8vbv1akZ8VJi7k9Yuw/SUThoa6vB9m3hrNhxyvTql qZ8VELfCV2etqgZdksPJJ588mutvjhvl7BfnmeJ4BDk9dDozj4LiGhlHPorbpUPIsVw8YYi7hlBn MmTEuuO/A77fLdab+NS4fEwdm9hvVpfrPhOHp3CIQ43EkgaAtHBJzziuvTUOh+tz6QzhiWXTlpEl 7J2K41X8Ie672X8P+7fo3pSwr06n3uKvGzpCuXLE/w5kMPJp5H51APWpAwaCm9LSnDyG/7WRZ9TI xs1L+F+1ASAZdnIf/fVdflMMAIS9EmEvLU6D0iNuuGckP8lI6lVqn2vKGgCITx2simUDPxrae0Nx PnMsNgAcXUqHao9zD61AuKlDwNHjh9WGp2cN4Z0X6x5Y3lfLvVpt3NX6J33qEDbMAFAqfp6pMhhq Xpb8vcL/OC9rMgBwn+qb8LTwniDs95XSpdRxrtmJfMsb9BU2/8saAEqFRb2/jdLH9QX6hbKQ2QBQ Knx0k2G0y/MnEedr8LkbPeZzbCaSud6RgRu9v0kcXUZsKHyJnpX42baUfpWOh7l6cp/bxWHGLoz0 jDi2Uhhp57luj2LmCjdwv6LUpwRpYfmYCbQKAQ21OQ5ptgHgBuLINHy3VcBYDxPoKQJULD8PHbuC Sl4VjkQNQCqehk6Y0xNpJS3rUqmmWtZDA+ySajsKxekIbyEuDBV1AU/FgfwTPd5TfF3W/+HzhYLh 4HE+qcFAY+lSdQSyhpfmj/D2Qs/UYctxAwQ/VX0GoCHLXPNwcaMmdC4Wci7z29lYZ67dOH7bGcKt 2gAQ3nzdFndy0COXZyE8GQDKTp4V61KLSxy7FMer+EPc/2b/HpWZwPxp/u9TaWQKfjagDGikyc8I 58BKeuFvXaRLA1zx6jhxF7zlrhReqfOEtSL6NNwAoLd/pPe3afdbOLaYkS9VzwWEvpUMAFr3/cRS 6Y2PE85I5MbifFYeB8Y1dRDi8JMuYX6yOB7ijuPZLuk3yz7XDkROje+xwLMlDQB0zN+Brt1hAFif eBpmACCs4UgXg65Yk58363yWvEr64boPUTZzk1FyfS7/OVarAeDjCoPrC+qyUBYaYQCQQaXL8yfE pzroexqllkxflfsdsPgp95qe5QVp0P9wvxzHfk2fAWCY0Hw7XUYZBD734OqT56o3GabR6b7wjCjQ W8fgsn3VgfoCE+hhAmrk/RlptgHgFOIY0MNpdfQm0PIEtPQPFc0lcSNPlWKx6BwV5QYtn5gyCoah yX8NFXNBGtXYoJGgt96rlQki8yl4rUl4qXMqBM6XwzjzfADJiEsZAEKD6S29KUn6r2U/lIkr0hof IZ4Xqm3YkF6tB/9GWtni2PGKs1pdlV/okzNUxOknrKpGAJAfk7impQwAYqT0iL8aqOyrI7BhtXyy +CfctjYAwGZ7ymLqZzec04zhn8nCodgPXMoaADivt3vfKL6u+D9+usUAQDydyMlpzzcd05vrYt2y /Iff/hpNQtixIcoGgAYaALjH9Qb8yeJnbcjHS7PkUbEfrtVSfvlPChQ2/2uqF6hPesQAEHg8hd6b F6ev2v/h0zeFVVDvq0yHeK6s5Y06nzmpkx7P71IQdojrjGp1jf0TbofyLLQXuoRNXXq9/MT+7Zp/ /ZujAAAevklEQVRAOxCYhJL3Is02AOzSDjCsown0NIH9999/FBXJtWkVDcdzFY8qMyrKLrNG97Tu 1cRPGv6P9OS/i4zTJjc0tmQ0bNhGuCeHRkBB5R3i05uqnWqJrJIBgHCr6gCX0oGG356EVe6tSVWj GAhrR6QL/1DuTuZc5qGdsc7km763z0/4JN7IofH5LC7xt6QBgHTFnf97uffWyZKWWvwQT9saAA44 4IAp5PdVZd56n19LuRJHwtXzosu9q2Oh0/AfRtpUnNgL/91iAAjfQf8l6Fagt55vHH93LeWD63am c5RLs+5VOh4Pku6qP9epJe5qrmnXEQCUs80pI12+Hw9lelE1DGK/hKdPN3JL2+Lm6jfysaaRTD1s ANCop63jdNXjEs5CscAtkHBMn8xVNaJNusB0He6HfxeHG/6/Arsv1KMz4byfe7fLqJYQ/n+J/531 hO9rTaC7CWho6jKkmQaAFwl/s+5OmOMzgXYkQMWnicBuSmtEq7IMlc1rVDaZZs9uRQbh7f+1pKGg 8k+k7yUakA2tTGkk67vk5xVHsQSmtyVnis/KrbsMAPDQxFT65ryL/uGt9JZZdZY/0pxqUAjl7k/E U/UnAFyjsns6cjnhX4JchPxfNXq1qgGAdIj7w7hVca4m7fJLHG1rAIBNfg4I0lFcTlV2P1Ytj9g/ 126N/FflU6JOtESdYJ4jL9K43zf2W84ljG4xAGhiT3hck/aMk94c37GcnqXOof+GhHsZcgn7VyDn wGBKKf89dbxdDQCUI825Etez+TKsPOP4bcjoWpgqnxCtlnBxcD9dSzi9xQBA+d+LMpznC5Pcvo4h z9dSpsmjT1Efp4ZJ+P9Bqpp0szh/uH515KG0e5rjer7tUXyN/5tAKxPQ94TN7Pwr7IeQumYU5npv JtAnCKjiowK8PXTEUiszrNwvUNGt2q5AqCg/hshi3iV9Id1aSqjqDmg5HmFG7vwydYRfEDfM36Rx tU25MNLOdZcBQEMi1TAq1lv/A7Md0vQrdYzrvop0GVFAHGqAaVbtHhlhQvlvyREAuufgVXMHtlQ+ FB8njrY0AASj3uVp97TKFOm6B8k8AWYxF92/hLM9YfwWdzHuo8i9yJXITkim4bf46xYDAHNDaB35 q9N4hGO/L05jb/rfrgYA8uwjSJdJaVWGkWdJV9VzNzQyX3uLAYDOupZBLaiD4Z77z3HVS1XNGaal /7huf+qPLmEqHkRz/UytJy/QWavz3BiMQQXxhDhOqyd8X2sC3U1gHyJstgHgb8SRukZudyfW8ZlA qxPQBFlUJneVMwBQCb1II7Ih38f3BA86Uz9Nq6hJV+6NHu7OzdCLcLerwPVP1cbbXQaAsA74Y2po iFNS1CDh+K7V6C4WyBvJcOL90MD5i4YxVxNmI/y2ogEgMF/aiPRVCoM8aEsDAM8jjVBJLU+hw3tM pbRnPU88MxG9jZuHVGVUwH+3GACkF52136V1Fjin+1esmvKcy8qxmf7a2ADwPu531a8Fz1jlmeoO 6q4b2R/fTHblwu4tBgD4agnaLozFWey5bzQ6OfOm5YS59sS0+j3E89TZZ59d1bOiOHLqpinEcXFa HOE+X1h8jf+bQCsT0He2zTYAXNDKAKybCbQSAQwA06hkcuuMqzIsFlVmiGbvXrOV9M6qC3pPpBF1 W5oBQBU/aXuexuN7s4ZXjT/iXpnw87MxJ9mGuB/QBEXVhNldBgB01bJyS5X/Sb21r8YHx6syAMBf HSgNW+wSno4Rnr51PL2WzyKq4Vfst5UNAJVm/C9OSy3/Yd6WBgDKy6GlylIon5vXwqPR16BjtxgA tt122/7EdXRaZ0Gcwn38JG6vnD28jQ0Aq5I/j6rMKp+SojzjuJ6LZyI1fQpQb3nuLQYAOGpixAK+ MWvVxeyvWA0rPZu55uS0+y2+12RErybMYr/lDACKl3bNhcXX+L8JtDKB36Jcsw0AHhbTyiXAurUU AXUoqbC6LEMUV45yQwW5VkspnlEZ9F8PSR3+HxpdS6hMq+qEZ4x6OeKdiFwd4ilofIRGgowDVTXI u9kAsDjoWaC70sPxqgwAcJBB4bZQlgrC43juP+c0FPYv/K+qMZY1P9L82QDQngYAGr+L0sqmjiHP UoZmp+V3dx9Dj24xAChdpPv9PMu6TLSZuL90n+mZ8xXcHulQNot/GxsAtNRi6kSWyrdQnmUEuAhR HdyvWQzTwu0tBoAwJ0+pekfHq6pz8N+BHFbGAPBP1S1pTLMeI/jZ5P91ae2HUAf/LmtY9mcCrUBA w/ObaQB4jfD3bIWEWgcTaAcCeuNKJXMVlVVq5UglFE98tVE7pKdYR9KWWxtbDSmlJSmh8r6yXkt9 cZzxf+IaSkflzDS20ocOr749PC72n8VtVwOAvpkkrV9La8yk5Mk/4PMVfZ6ShUk9fmwAaD8DgNYF p8w8mGZM0jHuOQ2brnpW73rKUalr0aPbDABKM1J2SVfO5wy63F+/QzQDfV3DlEulu7uPt6sBQJzI g6+RF13mR1FexRLKukZwzKczO6e7+NoAUJo0ebE79XE+j+K84njOCEme1TWvDeGtyrPs/rTnXIjj e6W18xkTaC0CA1DnCaSZBoDnCH+r1kq2tTGB1iUQOmZ/TqvI4gpNHWUqnM+0birSNQtp+1a8jnWc ntgNaW6mFb0flfd+jYy/XQ0AyiG4j6RB+ac0g0icJ3LV4All7i7+H0Wax6XncP1HbQBoPwMAZWJj 5Bk1glVekhKMer/g2PD6S0f9IaBHtxkApC3xbcr985+0TgPn8qzC/aVPci5GPlJ/Sns2hDY3AGh0 1J8q5VniubgU/0cjVU1cV0sO2QBQmhr5sQnyatpziGM6Xtdy5Fy/OfdplxE9Ib5Xyf8vltbOZ0yg tQhMR51nkWYaAJ4h/IYu59VaCK2NCTSeABXKWeU6ZaGx+E1i7tbhh/Wm9NRTTx1EJXlaqbQpXVjY z6w3nnLXw/bzpQwAQa9FmtG8XBjJc+1sAFA6yI9VYXKP2LNfVhJ+7qShdYA66wTR0DKoMNHjtkRc OZ1CI0tv5WpaPzuZZ6X2iWOX4njFJMS91HMApJOD0Q7IC4FTQRkK99Qp1dxT6bE05ih6drcBoJNO 26Gw0dKtBWxUtpKi8yp/+NVa5hcgW7H6wcDGpLx7Q2lnA4BI8VZ/BfLm9kp5pvwLeaa8vIf663jK /BQZu5tB3AaA0lThvzxyW9qoNo7ps40fl766/Bmu7aAsqM4ruGc5nqsfuFf/xf688qH4rAm0DoEN UOV5pJkGgMcIf0LrJNmamEDrE6AiOQBZRqXSpbJRhRMqOE1E1Nn6qfmfhlrKDp1/k9bJUrpCeqsa gv+/0LPtEcfHw0iDLmyDXjejS+ZZntvdACBqNGzeS5pvVbmq1OBVHskPrjrjjyOHIw1r+NgA0H4j AOjsfYMy8Fq4fwvuq9BgVhnJtExftru4dl/o0a0GAGmqCQFhM5+4nyv17ONcnlviHhPT6zj3kWaO uqmdZukr290AoJSRhjVgf3mVz0U9G5/gumO5bhXchtbRNgCULnNhqd9j0jrpoc20RHMPlA6h9Bny cSwiw3f+PuV/bj8c69XLepYm4zPtSuBjKP4y0kwDwL2E3xIVf7tmkvXuewSoWD6C6C1Ql8pGlU6o cK7XG/V2ojN//vxx6H9+WiNYaUXe0tuyZqaJOLYKHdgubINed+JOy6pDbzAAKK3kyzzk1/B5NS1/ ONeFl/Is+H2IfNsfP8tn5VbKnw0A7WcAIN8P4s1nqsEyGNs0aqMpb0RLlaNSx9G12w0AsS7cL59B /q57Jq0jUeoeC34v5h7bprtX5Yh1r9btDQYApfmAAw6YQtn+Ofn2SjXPxdDhfIY8PRapakK7cqwp Ax9XOdGzN1le4g4ux+oyxlLW3kUYzxSXz/D/ac5tXU6/rOcaPQlgHC96vhsduyzjKF6c0+pJh8d+ q3G5/vPFzAkrlwcc16c7H6gmPPs1gZ4moO9hXkWaaQD4a08n0vGbQLsROOGEE8ZTqSwNlXpBRR9X OrjPqbPUTmlTZ5l0XZGWrlC56vu6pg3xFivi+ZAYhvgK2Eovjut7ztlZufYWA4DSqzcopH8b5G+B RQEfcUsTNQ7VOOa6e2igzlc4WfkV+7MBoC0NAEenlQsdkwGAcjGffO7zBgCVdcr3FLgcDZNn056D pTiGzqeMLJdxv61ffN+02v/eYgAQV/KkA+5b4l6uZ52kVD4lj8sf+a3y/wByMOfqnuDRBoDyJR3G ncgPYK8h/wX5FO63f5MnVa2gFMryY+RhQXgKX/clBqIF7PtFZ/ms8dkWI/AN9HkDaaYB4Octlmar YwJtQYAKRbNCd6lwEpWaGoMfbYvEBCXpDIxD50vSGr5KK6JKuyYLfVYOxLGlGmaKL8Eytx8a2Xfv v//+mSdz6k0GgJghXKYimglbDddlpXil8SNv9ZblJyeeeGJNKwbYANCWBoAjyPPUEQDqAHGuT38C EN9XsQuPTu6pd+Keg+TeVuoeY7+s6JkVnlGP4vfLSMt2OnqTASCRb1rVYUfkvmqei6rvyN83uUYT C64Rh1eLawNAZWo8c2RkuyPtngptj5txM30KwP02i3xLXfpPzzbO3cgokbZ6EVOZoH30BQJHkchl SDMNAN/pCyCdRhNoNAEqll2pxMouRcT50xsdbzPD03JhVMp/DI3YLo1dVdik+6Rm6kD426gRgNsl /qDX7XCdnFWH3mgAiNMugw0s9kLuhtfr4pPGjfN5ljof/NxGJ2C1OKysrg0A7WcAIL/nUwbUwcmX g7hMBAPAyfxvicns0KPHPgEovgfQRYaANeCmVRKe1HMpdFC6cOR8/lh4TsrQdlKrfhLQGw0Acf7B Xd+DfxW5FXk563Mx1Dv/4Jq147CqdW0AyEYMxmshS9PyRvcP55aQH5/is8TUOcrUVuG+3Ap/Nxbf k3rOhbbC3zi/XjaN7MsEWovAaajTzM6/wm7q27zWwmltTKBxBFhzfRqVi74hzDf8kvuhEXgHx1pi ea0sKZeuyLmh8uySrlBZ/zBLWLX6oQG1falVAEL8mnRrZNbwe7MBIGagNNLo+SZcrkfeDJ26LvnH ufyx0Mi6hmOZjSmKzwaA9jMAkMd7IK+oYZwsA9oP9/ovFyxYMCIuTz3polPLGACSHNBrA+SHMLxf 91e4f7rwFFOJWONHkwRqaHnLjQTozQaAON9kfCEPdoP/teRD7rmofInzKM0N94Oeo1PjcKpxbQDI TgvW68L5GjEvvp/C/9wnNeTZ7vjbGvf9yFYw/grunzj2Rtp1Osaw/ws5v2p2bezTBFqLgIbnN9sA 8PXWSrK1MYH2IUAl9INi6zOVTr4ByP5L+Plsu6QIfTuQI+hQpjaSdJyK9VfNTA+V91crxH9+NUs4 qXNMmm4JDbt8usgX7euThkMakR7C0drUi0O4+Xg4lntryPFdGxFPuTDCKg5qKKlx1KVRpWNJgYnS X9UoFRsA2s8AQHnYhnz+T1rZDI3lW5Sv5cpWd51Dz5Y0AMTpR78Vkf2Qe0s9+zmXu8/C+edg3HJL LfcFA0CcZzJukScfpvyfh/u6ynycR2mu8o167oz4+mpcGwCqobXccnqTD+sjyYd/i3vxM0rH9EIg 3EtvKu/UPlB9nvSr/XDsIfZ32WeffYZVp4l9m0BrEbgAdZptAPhcayXZ2phA+xCgMno38nqyIko2 KFQhUbn9lhT1yARb6KIO/XjehEyMhcpznJa9KkWZ9Oxc6g283nwR3iXlri8VbpbjhK0JghaEeLo0 0sST82dlCSv205cMAHGaYTSWfPw07hKVzXLlEz8a8pp5TgUbANrPAED+rok8mVYOwrGXOF/X7ORx 2avXRY+WNgDE6WOW9Lnoqk8nXuBe6/Ks4njumDorMD6wnok34zgb6fYlA0DMjbljRtFB12SBueXi 0u4H5Vs4rtF9mZ+LcRw2AMQksrtwzn1qg3si8jD8NXImP0mg8kP3mIwAcpOCf+WXPrdRXbc/flbI HrN9mkDrErga1ZptANimdZNvzUygtQnst99+erPwi1IdVlVUVEr/pLG1Tk+khMpwLvE/haiB/xId aLk3IyWHN3LuffhPNWqEDvgtpb7LqzeN4Q32b0M8BY1qdBLLV9Hva9XE0xcNADEfOM6A188oB2+J H/sFEpjq3JbxNZVcGwDa0gAwkLy/R8+j4jKg/2pY03HZtlLed8d59GkLA4BYoKsMrFsgj4ohbhfR ce6v63gOjesOflnj6IsGgJjNt7/97cnk1bnkS+rEmCEfX4fRl+Nrsro2AGQl1dUf3DvUpiJftmf/ WVzdO7qnXkT+FeRpjj3C/j3IlciJ/N8szLXRIy9auqbER0ygPgIqyDcgzTQAvEX4G9anpq82gb5N gA7R+2nkvRwqqi4NwGAc+PZuu+02oLtJodf7kp3psH8X7rRSulChzkPu59ouaQkGjaeYVbeqZXpK xVV8nHinI/emdVTEF3mK8xsUX1fuf182AIhLMKr8Gab5NyowzOetRntwTivOZNpsAGg/A4Aylnun 5Kol4X47J1MBaLInymbbGABiFOi8BSO91DHJ31fxPRaeW68xYmBO7L8V3L5sABB/8mcweXZ2Wj2n vAv3xLnV5pUNANUSK/Svz/vgfwT3jUYBKB+WwVSTmMrQtgXldiPcVTWao/BK/zOB3kNA65HehDTb ALB670HmlJhA9xM49dRTB9GQ+FWyo00FlW8IqhKjkfEC7lbdqZ0qUuKcn2zgZDQAaBj+H4PhIp+O OE2EoTfGTXlbSBybom9qR5U4pcs11RpS+roBQGVOBh/YLQmN2oI8VT5Tfk8844wzMhmoKhgAVDYO blY5J+xd0u6zUDaWZk1DPfrBURNXPVPMUjogz9JY/WQ94cfXEseKhKehrQX5pf+Bwcqx3ywuYX0B Sb23Qhz/YmLTWVnCaqYfdEk1AEjH8Cz7djPjrzVs8Q0cu+SX9Ka8vKvWsJtxXTkDQODckAnUiGd9 uPyr+H4J/2XQ3aIZ6csS5kknnaTVAi5Je6boGDpemiWcpB8bAJI0qt/nPvoo3F9R+Qj5ciff80+s PiRfYQLtS0CzXN+KNNsA4O9l2reMWPMWIUBltQ4NiUdVaeF2ETWoqNhu4Vy3VWT65pT4FiZ1ChVq 2REAQkoj5pvom7PAF6eHDrXSd/Kee+45qMH4+9ERPTqtMSYd0EedywOrjbMdDQCUl1VI8xnIQhmX cH+hVSeqTXvSP2F8WwxxC8pnMPScxfGhSf+l9isYABT24aWurfc4+reCAWBt9HgqeV+JKceU9he4 dz5fbzp1PWE11ABAeDPR8Xncgvwv+n9EI3SvJwz0KWsAIA0n1RN+fK3yKdxb5xHnQsLdt5rJReNw YpcwRiMPhHJQwDg8/z8U+20FF11XRbo8DzgWv/2uaqRVqTQ10gCgZyB59l0YL0RPyY+R95SKO8tx rt85rc4Jx67LEkbSjw0ASRrV7ZMXy5O3N8X5EeYiUv3XcqtoVJcy+zaB6ghMwPvfkWYbAGZUp5Z9 m4AJpBGg4tqTimoZUtD4i/+rYUjj5ad77733kLTrG32MePXd7z8Ub6xDqFgrGgDwNwtdU4fiq+OD aOK42Y3UWbP2EubSpL6x3nI5/qz0qjbOdjQAwHcT0px7yywe6qRz7L3Vpj3pn3A0+dUbSabaV9ic O00jWZL+S+2XMgAoLJUN3ONLXVvvcfTscQMA5WlV9Hg4vCXN31scE0fxPaDedOp6wmmoAUAjZwjz p8V6cyyXhpB3Dyh9jdC/1jDQp6QBQGWV8z+oNezkdeTVKSHPcuWW/dsJu+aOBtfqefuTNL7h2MbJ +Ht6H131uVVqfaWyQEd2+0bo2EgDABxXIZ8eEs9QXt/gf10rWaHfewnjvyG8/P2supLjV1XLwAaA aom97Z+yqPk0FoQ2Si4fZACgHXJ6bSH6KhNoXwKapOsupJkGgGWE321vJNs3K6y5CVQmoAY2DYbz khUYFVq+QcE5NShe49gR3TEjNPHMRDTpX16HoFtFA4BSy3UnSOfk9fG+wqHBtHNlKtl9EPankDfj OJJu0Pu7HKu6gd7GBoD8N8VKP3lR13KSdJ7Whp/KX0GewkdhH5qVbTkDgMIinLOz53p1PtGzxw0A Yfb31CXgQvp/Ul2q0n3DsaEGAMVCx2kLRBNpFpQB/de9ro4V+79ABqZr1fyjxF3SAKAOAXqe1wgt iEcz+Oc4KO3sa9b3TKNg0uIPI66ODwwL+PKs1Jv2HjWsFOtMWR1Hul+OGSTd0BleUHxNLf+bYAB4 QPopz/RcpIN4Yi16xdeQ7jWRx0Oa8/kW/v8u9pfVtQEgK6lCf+TBPOS5cC/m8iE8T08r9Ol/JtD7 CcwhiYuRZhoAXiX8lpqZtvdnq1PYmwmccMIJ46nELggd1nxjgmO5fTUqaCBqhv2Dq/2WvVpuxKMO dcE3xEGvrAaAiVx/b7JCjtMRjt3H//HV6pXmn3A0fPaG4kaY4tMx4ruX/RXTrq10jEbEBK69pThP QhrUMD+kUhhZzhPOYGRxGi91Cji+a5Zw5Ic0b0JYeQNAuP6oOocovwcdCsqDdA1vVbfLqls5A0AI 60J078waXjX+0LfHDQCkTfd4l/LEsfw3q0ySOaWadKX5JbyGGwAIMzfxWcinLs8nlQc9n+jE7I3f qo1taemo9hjxljQABL2vwE/NHfVYH8LIGwDYV0fyBdya50TS/BPwO1X3qsKLJTzT7tPM83HcreCi n5659ynPY11jV8eQxXwjX/dotWYZAKRrGCL+y3p4Eo4Mo2mf9LzJfXBotWHbAFAtsbf9kwdHFdf/ IX+bZlCuTVNfZQLNJ7ASUfwDaaYB4DnCH9v8pDgGE+g7BGgArkTj6e7iDqcaLBJVcsgr7H8fGd0s MoR9FHqog5tv4FVjAJBeXP8FdC0IIw6Pcwr3mEboT6NpPvG8GcLM66v/4kU8eyA1dUh6gwEgMNCb 2Zo71ly7M1Iw5DeE+28a6ZmXqSSMkh3gYKhYzLe6Tfm0jPLQCgaADjqL55fqRMNAnwF8ut77gjDm kd4Cgw3HcvdGuI+rmgQw1oc8fy/ybMj7/L0Wh63jiOYK+DJS0z0Xx5V0wyc+ayaPpe1rOS/ivT7t +RnK1wO4c9OureYYcRQYAPivZ/JHqgkj6ZdrZQC8pJhrSMc5nKvbaJGMr959fYqGTr8VU9w0eY3n cl2jjqQjz5Z3EX5DJgFEV30CkBsBIJ11D/L/EvYH18qDNOrTqIJlbwlTPF7E3azacG0AqJbY2/7h fWvgni+L4V56huO/4Zl7NH524th7NXqF/cHhs6aGPaNq09xXmUDjCaiivA9ppgHgacIf03jVHaIJ 9G0CVFKbUGktTmvEUnGp0ZIT/C2igbRRM2gRj5Z+y1emijfok2kEgHRasGDBCK77UVo6Qhq0Nu/H 6tFfnU/CejStIRrivZQ4RtYaR28wAIg1DG5EahqazXX6vvK3IZx8mQid2EV77LHH8Kx8CUdvDm8s VSYoczIy1FUmSumC/j1uAJBupO8E0plqGNM9h55LKNfvKJWOSsdhO4s4voEUGGz4n8u7wL4mAwBx a5mtLm+q47DlhnKiz0WOQ+p6c63JQgnjfYSpN/c/r5R2htLrW/qrS5Uvjov7DpXCqXSeMIoNADLc 7FXpulLneX6tQCel4JMrwtMzV3n4qVLX9dRxdOogT/YvZcgK5Xgp/taqVUeunUk4++C+GspU/tmj 8Dn+FLJF1vCLDQChjNxGGDWVUa7Tc/HwYgZBt9trGaVnA0DW3PyfP80/Qz48UVxGOJZvK3FO973u UT2XXuBeW8KxP+CeCPPPc2w9RJ8RaORizYby/2nlPRPoOQJ6I/MA0kwDwKOEbwNAz+WxY+7FBKiE NkD+ntaQ5XiuIaROL5XYc/z/Fh2G1RqFg/AmI/eFhky+0RV0yWwAkD7oOJewlqalQ/oTx1I1zGrR PYR9eamwifdeZINawo6v0WcZML65OA6OictbNB4Ojv3W44ZGzN0h3Dxz4sh9W83xXbKGD9NNuC7/ CUAI8+msE/UVx0MatySMZ5O6aR95nbj2KPZf7n9I55XFjWalUxI4L2J/ZrlwajmHvl8ozkfFGdK1 ZNGiRd3S8GMegI8Qb8H3qtIjlnDf3Yxem2Wd7yO81dqQa7QCxz90b8XhFbuBQU2fxIg7b9nVSL68 XBxiGtJxLX63nj9/flWfCzJ8dwzXfRA5FXkl6HxepXwP64BfVqp8SWd0u5E8qGsFI3QqMAAQpjoY p1TSr8R5GVXOEDPcvIQ03MUxzenUchv6bka+pM4JoXQE1reyv2FW5fE7FtmUsnMQbmq9wfG4bD3J /gezho0+BSMAQvl9BLemskDa10XP/IgC6RXrBpvMn2wl9adcfkxhFJeFwHKx5hBJ+q92XzoT9j/D vZkva/rP8ad41jdkuWHdX8VpSPJhf161upfyr89nCO+xUvHF8SZd+VWaxVXPlsBDBqW/IsfCYVu9 XNDIo1LxFh//fwAAAP//hMn+owAAQABJREFU7Z0FuCTF1YZZhzVcFlaARRe34E4SICQhQAjhDwGC W4K7LO4eNDgETyAEl7AEZ4O77gKLu4dF7v9+l+mbuXNnenq6u6plznme73ZPd1WdU1+d7qo6Xd13 iilMjIF8MLAkZkwAHQ4xkbKnASbGgDHggIHDDjts1NixY/966KGHdhx88MEd7PeAjh9++OE6/jq4 GGy0yy67TBXXHHTORhm3H3LIId+x7aaPc/r9lNK0Uj5lLUG+Z9l2K0/lq25snwfrtlLmgQce+OOD DjroyYpN3cqVHs69zLllWimzXlq4HYZtT1fs7Kan0iZH1cvX6rFjjz12EDZPqNfOFd27Ri2T+q+M ze9Ul8X+ZB2PWkaQjnIWBi/Xtl3l9xUnnHBCy75GeVdWfLYbnxzv/K36wsV42vg3Z511Vr/Alnrb o446amryjQR9652vPkaaXUPacSLnB1and7WPnilpj3/XcsrxLj5kJ+c/5dgN8LAb21X233//+dkO 59xotouDdShnD7aXsB0PPj/iiCM6KtfEl3DYVR5puvYrHPwoSf3QMUp1qHf9VeuqnNe9ZDz2nMZ2 Y/SrHl1cX3nllX2OO+64GQ444IBFKHNz6nsO2wdJ843qw35w/7s8is3ku6BSx646c6xrX+ew5XHK 3YTjU4aVyfnBYHbQzb/4fSLoKlNtSZl3cWxwWHn1zpHnQGz5urY8yvwELjatlycPx/bee+9psfnv YT5QaYcPSXcN2JV6rs6xecmjfmYu6rgYx37J/r7gEvAQ+G+VH3/D78mk6eKa34E/fMT+BlG5QO/8 lPOK2qqqDJX986hlBOlUB8p4mG03uyr3tas51+XfQZ4oW/JtFNgnGwNUjr3M74WjlNMoDeUsT30/ bcDnx5S/YaO8rRxHzxK1OoK66DjX+hKtlNcsLdfe3Y30BXqbbZVf7Rn4Hr/fJc/dgFvv/nM3s8HO GwN5YcACAHlpCbPDGEjAwNFHHz2EDuh4OqPPNQho1Mmp46oMxD6hM3ySPJoUbMd2OTCTggJspzzl lFMGCNrX5G3fffedmXSrgj9x7Eq2L4G6eirltxwAUPXRownLU/XKrgyiNEg8CcwJug22A/p0XPay PQ68Uzv4UtmVY09qoBPka3Hb69e//nUf6TryyCM1wD2ZMrsNzjnWNYBE5xtgdY7110Smo6OjV1R9 5OkN+u61115Ts/0L5Wiw2zXoC/ZVL/ZfB2uD/qAv6N1ID3VfmfPdAgD8VhmT8A1NwuYC/cnfyNZe 8hcmH5ogvSi/Y9uFyu/H4WWORjaEHaesvVXXSr26yq3WUWnHTzj2OLgAHA72BgeCE8H51OUuBtwK Hp0Keky8ONbJL9v+1GV9tm+Auvoq3J+tgMLWW2/dj3QBx404Cqti03Pokz3fNrJHx8Vz5ZqbzO93 wKtAk4AJQHX5AHyjNJp4iDPyfEfZ14LfcE75etSXczo2njwLK8Aiv8XgluuJvnnRd5v0V8rsoUv6 dU5pKm2qoIbq8Sx4AjwGngYvgtdJ+3lQn6BMbcUF7f3XpsSSgPS6730d5Ge/h12yhfOfUabulReB I/i9DziA/RPA+eBfpHuusj+0WjfH5IPdyiWv7hMPVa6baSq8Vmfr2tc50g4HJ6Djv+TtKquy/x3l HMN5Xae5FexbF3tDr+UaP9akKvDjieSdBHTv/1Y+HPgJx3RtXA0Hasv3VAbbboC37zj2MJPJBaL4 Mem7BQCqynsDPzgNHYvstNNOAyC74bVAHt1/NwTPUF43eyrXwQucGxO1wUjbdY+iHitS784+kuPd ytZvylew4vo999xzVt2jovQ36o+UTvxg77zkv5Xt9/XKp/46Pp7zc6t89YNhXNTUsbPfrNw756Gc hhNybFDd7gHzBO3WSr9Zo7fzJ7arT+nGmX4HQFe3c1F+y+fkk6SVn70C9ic4MGM9/XbMGMgTAxYA yFNrmC3GQAIG6Hg0SFgHPAS+00CDbV2ow1PHVen4NIjSoPQLMAloMPufCp5i0PMW6b7kt9Jo4tCZ l/26ZSsyzrkXCEoMj1Md8s4J/qYBCOimo2KvjmlScyHYEqxEXZbQlvObs70AvFmVtqsMladyOXc7 aeZq1T7yDCXvVgw4NQE4A1wFHuaYyuzSw7Fu++KaYxrU3kq6c9gepnI0kWxkA2lWIc1ebDWJuLQy Cak7KON8p76Knk/IdzPpxc8xHNuT7Rq1eji+Msd7BAAqZai8z8EtQBPqNTm+ENsxle1qFQ4e4Vi3 gb3yV9ptPPuL1OqN+pty5wMTan2AY511DbbUtdqXxY8GYp08BecI0ijPFQyKhwT6+b0G9u0JT8eS TpM7+URnAI1tNx01v1X2U+AacAFQ+xwIdgSLBuWnsaU8TSTOFQeqC/sNofNBfdUGAaqPV+4Jr1GO 2lRlz8n5ugEA6VIZbN8mzXVsz8COA9j/Nft1g2+N6swAeWbyXEX+r8PuS6TprJ9sDuxX3YP9YKvz QVodU5kce59jV7OvcU1TIZ2eLvcIXAXlBtvAFm1BXf+q3PNuqr2eKaNeACDgVYE83W/P4Vraiond 0uwvCMbA16JsNwZng85rVPrZ70TFH77i90kK1DatbMYJNIHD1iuitn3AedDe2lb477y3qP6Up8DA Dmz7giXB+0rHtgcq+ZVefnwm24PAz2VXLTWUXTcAEJRNvi/BfUCBoLUob2EwhvZbiN+rgj3AONDt vsjvzokiWwWy1qzVW+83OrXa5U+kPxKcz/7NbN8JbGG/R12lp3L+Gc7/HZwFDuXYjvjVsGo91HVu 0u+k80D90j/BKyqDbUNUzr9EGgURTwcHsf+LenxKXyWQtR76DsCO00h7NXgtoh6lU7vpWjiM/H8k wN/SfVaBA13vlPPbQKc4qkzcNa7RqobO3zom/9J5HYsKlas85NVY4BH8IXbfV91Gtm8MuGLAAgCu mLVyjYGMGKDDmo4B5UF0Rs9pwCUEnV6zzkzp6iFKPunRQBi9CiRcw/70cSkg/0Cgzn6iOmR1rLU2 6FhQP6UJ9nW8tr46pjQc1+TnsLi2kXcM6AxMqMx6umrtDH7LpiCPbFU5oOFTIM5dSRClazBSW6eg 3HrbQI8GMiqDvNfXtgXHViXvh2HlqhyVIXu1T3q9ItD5W8er82q/kk4Tm39wfnStzlZ/U46WA39b 0d3DBzgfekz51O7igLQX7r777oMCGyj3xmp+W9Ghuiq9IB6ESpDhsKD8tLbYPwzbb6z4b2h96/Eh WysT1I84fzk2LxXYxu95ON8wAKDyqutaKed5jnd70h2UF7bVSiLK2o28z8tPxJnKjwvllz2UqWDg jdzzfhamv945TbzJOzmuLWr/Kv+6Fn/qCjBJH2WfqjRs6yLgVnyonEq6ztUawTWnNEH+QB9brezY GbQUiKnHga9jcDwH9t6ZxI8reeXHCrwuGNheCZ40DACQtocfw+t9HJ8uKCPY4lNjOPd6s3aTzwR+ TPrO1w+qfne1mXTrOFsFJv9JuYsFupptCU4eGpQpe4Rqf1DZjaB0QR7ZWvGvboEH/H+7NMqvtMuD rAjrwafqqPsudj6ue2RgU5x6yNYKl5Hus+jsDVYAB4NHgdogKONT9m8Auo60WuMQcBl2jWP7LPhE unSPUf1a4b5yP9GqtPmatbGdNwayYsACAFkxb3qNAccM0PnMDjYD6uQ6n7xF7XRJ33BgoXPB4CIY BHFMT50V1d+RwdiKdJgzp1E9ypuPjldPK19QZ9xKJxzYWBkwaGm8ymk44Y5ib+X96s7BnsqPC9UD WyarvEZ6OX8ZTxRj6whsUxmU9Y9aPQxs9IT9DtmidozCrcokTzfoWGXAoydeeuK0Dgh9Z7rWlka/ Kac3ZW7Ctlv719qh30JQF7V5JY2WjF8ItgcK3nS9EsH+P9PgN9Bd8bODG9UlyXFsnQ6cAr6p+E63 NuB4j9+yq2LTJ+TR0uWla20g3zygc1VPUI+wbaW8p8nTcgAg0I2vaCK4LXhUfiNIJ79DEdhV1bZ3 k2dn6rVUoyePgc6wLWVo8N/5nRBxG+iptic4pvOBzZW0elp6CWl131ukshy6S10lwPCmbA7Kri63 dj/QU31cx5S3wr3uY4eja6EuJQXawfaZwEnga9WJbVOo/pU2f5cJ8Ynk6+HH++233zKc+yjwpYDH RtsKl3fr9a1a+rBpVvC3gHNtVU6YrfXO65jsqeS7DV/4Jfst3RdJPzbQ36guUY/LFmz4aXV9ybtN GuVXeL9P33uoLj/YrwQAHq4ECrqusai2B+lkqwAtTe+zpFkUKFD0mSbx1fXk2E38Xp5tV38Q2KpA Jf4xivPLcl6vriho+Re2Wu32rXwn8DN+B+3bY1vxsXGkifWdh8Ae2xoDrhiwAIArZq1cYyAnDOyz zz7T0wktDvYF/6Ij+5it3n39lm1XZ6wOUh2boH2BNNWDH6VXvq/A2+z/g+0BbNcGmkg4+9gnA7xR 6NJE8GoGem+x/S/Qk+bOiD5b2akn6oImojqvdzb/xqBH+eZMozlkB2XdAu5MAuwbp3JUXiO7OL8/ 6fSUKqkuldHjiYmWZbKUchgDleXQo+WsN5LuTaClxV8Dtbcmh+K0eoCj352+wPYLOH6Y7VH4i5Yw O/EBDciwYxvK12TrMaDXUvQER6tN5M+TwH84pgDECWy3YLt4pb16vPcvzjl/OOkS80s5QfvofVZn H2NDz5RAry1cw1bfPZD/d7YNejuvU7ad/s9xtaE++LcXWy0rrzvx4PhwcDsI6tBsq0n3+SDxoJa2 0ZJcLaE+qeJDX/Bb77lrRYLqJh/TVgE31UcTQNmnp3lrpBVkrPjCcHTIZy4Cj7CvV4gC/xLXeuKu CYC4PwlszSR8KbazV79WUnstc34gQb7RlPUr9s9g+1Cl3M56sq86aslw1zVW2dd9LbiPvcv+9WAz 7s2jdd3W6inS78q3ZVajPjdQV71m1MOPOdZROa5213W9D3Wfn/263zqoBGb/wfl/g2Y+rPN3cx2d XK/tONebCeOMbJdDp64ftbleH5Atui/K3tD7Imn1moD85ViwEpghThtRxqbkHQei1KlZGn2MU2P+ LqFcBWsTl4+d4v1U0Oheq3vXWaTT/aOZnWHnx5H/LrBZVyXq7HB+GfBs8OSe/Y4K1H5HakxUJ1vD Q+QZCHez4TN6DU4BwxPBq9Sn2eo06du4YcF2whjIkAELAGRIvqk2Bjwz0IvOqL+eerBdic5rB3Ac +xeDa4E6Xk3mNMF6ANzKgFuDKk26jmEirQnYmgyK5mU7WB/ywf6GH0JyUTf09tUyWzpifT14E7Af x45iewLbI4EmzZswOF+a/aEg7SWyvSrvs/an7ESoPLVsyJ9sT6qjKn8zHjrrpf8ywOB3HvKtAY/6 1sE+7B8C5Cfi+DiOHSBf4Pzq/J5VH8Ri2+NJiqv2lz59fBD+BsoX9MQG/VNW7BBnkWwhXZr8dvpC 7RNgVxxguybuvwMHgj+Di7lWzwdH0i6bcn0sUPlQWTMTOu8J5I/sy5Xrvlm5kc+ju3el7WZhX8Go 9bH/92x1v1Ed1+F6XkRtzX7YRykj62yUUJPrii2dHz/VBDGuf9XqqHw0tL8mH5X71/rU54+6ntge QX11fXXex6jvnhz/Lb8VuB2aNue1tmXxW3WiL5mD+m0MAj++lP3zwFFAbT9PFD/WO94x7svN7omd tGCD7hMDwVxA98XNgQIDB4Ou+yLHaLYDtuXYmgpYVvwo0r2oEf+Bz1Bm5OuzSdpu9pC2d5P0regN 5VPtnZausPts5dp6hjYIJv2dW9pHQTW1WTcOGnEfdlxl6N5AmQoaPo3Obro41vkb/9b26rCy7Jwx kBUDFgDIinnTawwYA8aAMWAMGAPGgDFgDBgDiRnQRziZcN9SO/mvTMT1MCPxyqVaI1l9Mjfl/qtW J8eC13YeUmC9Np/9NgayZsACAFm3gOk3BowBY8AYMAaMAWPAGDAGjIHYDPBEfqfKZL/riTzH9Fqj XhP7UeyCm2Sk7EVZBfB27UoA2YL+p1h1OWeTIuy0MeCdAX2N9BXQ4RCvU3bdD4Nw3MQYMAaMAWPA GDAGjAFjwBgwBoyBWAzo2xK8AvWkJvx6+h5A3wHg+L177bVXw3+5G0thVSZ06VWKu2pXAVQCAM9x rus/VlRls11jIFMG9CXZl4DLAMA7lG8BgEyb2ZQbA8aAMWAMGAPGgDFgDBgD5WOAp+/LM9H+uDYA oH89yPGLXNcYHRfWWwHA8ccJQgxzrd/KNwZaZUD/o/J54DIA8BHl1/3foK0aa+mNAWPAGDAGjAFj wBgwBowBY8AYCBhgor0z0H8p6nr6z++OSgDgtCCdqy26TqnVXVkRcIsrnVauMZCEAb2X8ixwGQD4 gvJb+pcbSSpkeY0BY8AYMAaMAWPAGDAGjAFjoD0YYAJ+vCb8tVAAgFcAznfNAnovqV4BoGAAmMx/ 89jDtW4r3xiIw8AIMj0NXAYAvqH8GeIYZ3mMAWPAGDAGjAFjwBgwBowBY8AYaMQAk+2zqyfgQSCA f2uroMANlX+72yh7ouP6V6EEGR6s/gZAZTXAmxzTPMvEGMgdA3ov5UngMgDwHeXPkruam0HGgDFg DBgDxoAxYAwYA8aAMVBoBpjk91iCryBA5b8CvM5KgLlcVfCAAw5YGV2fVAcgKnqPcKXTyjUGkjIw IwU8DlwHAEYmNdTyGwPGgDFgDBgDxoAxYAwYA8aAMVDNABPwPcE3mvTXQk/meSK/U3X6tPbRNRBc qP82EOitTP6f2nfffe3jf2kRbeWkzoD+LcajwGUA4HvKdxZ5S50RK9AYMAaMAWPAGDAGjAFjwBgw BgrBAJP85ZiA9/gvAJqUazk++JA0K6VZmTvvvLMv5Z/Ak//vg8m/VgGA98GKaeqysoyBtBkYSIH/ Aa4DAGPSNtzKMwaMAWPAGDAGjAFjwBgwBoyB9mZA7/gzyR+vyX4wGa/e6qk87+k/z8R82TSYouyB lHcy+rr+84Am//z+DOzW0dHRKw09VoYx4IqBvhT8EHAdAFjUVQWsXGPAGDAGjAFjwBgwBowBY8AY aF8GmID/vlEAQMEABQE4P4l02+61115aAd2y7LTTTgNYSbAk5d2mMgN9es2A3++pbJv8t0yrZciI gfvR6zoAsExGdTO1xoAxYAwYA8aAMWAMGAPGgDFQYgaYgOup/DWVyXjdlQDBhJ20l7P/S7aRvlFG mbPxL/1+SvqTwTuBDpVXef//CfZ/VWJ6rWolZOAe6uQ6ALB6CXmzKhkDxoAxYAwYA8aAMWAMGAPG QA4Y4N/+zUgQ4G/BBJ3Jet1AgCbtlWDAM6S5iTzH83sX9jdjov8b9rdguxu/jwf/BE+Cb/VvBSv5 gv8w8BXHT9lvv/1my0H1zQRjoCUG7iC1ywCAyv55SxZZYmPAGDAGjAFjwBgwBowBY8AYMAZaYGCf ffaZnkn6lUzMv6m8l183CKCJvAIFVcGAr8nzOfgEfAEmK7/OK532g/LI+1/O38B21VNOOWVAC+ZZ UmMgNwxcjyWuAwC/yU1tzRBjwBgwBowBY8AYMAaMAWPAGCglA0zO+zI53wo8xv5X1ZN4fjcMCJC+ 8wl/sNWEX98OUH7yfc/v11gtcAP7q2299db9SkmeVaptGLiSmroOAGzeNmxaRY0BY8AYMAaMAWPA GDAGjAFjIFMGjjzyyGmZzG/HhP16ts+z/UKTeS3l1zYIDOgJf7AaoPo86T8DyqfXAA7knH3UPNMW NeVpMnA+hbkOAOyYpsFWljFgDBgDxoAxYAwYA8aAMWAMGANRGGACPydYgSf66/Ekf28CAieAs8Gl HP87uBycC47j/B85vj77y+2///5zRCnf0hgDRWPgdAx2HQDYs2ikmL3GgDFgDBgDxoAxYAwYA8aA MVA+Bpjc9wcDjz766CFspwFDd99990FnnXWWLe0vX3NbjeowcBzHXAcAxtbRa4eMAWPAGDAGjAFj wBgwBowBY8AYMAaMAWPAIwOHoOs74DIIcLTH+pgqY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYqMPA Xhz7BrgMAPy5jl47ZAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYAy0yoPdV+gP9L8pGmJJz9bAbxycD lwGASyh/SAXTsZ21DoZxbBSYtwrzsT8LMDEGjAFjwBgwBowBY8AYMAaMAWPAGDAG2pqBGaj9TuAK 8E9wYwPcyfG76+Aujk0A3wOXAYBvKf+rCv7LthG+5lwt3uHYLmBGYGIMGAPGgDFgDBgDxoAxYAwY A8aAMWAMtB0DY6ixJvwuJ+55KlsBjpnarpWtwsaAMWAMGAPGgDFgDBgDxoAxUBoGVqMmJ4GrDalw cDo8/hKUXTQRfhrkaYLuw5b9qXPfkjeuAjv6MKNWddh9ITkH58PjH8BgYGIMGAPGgDFgDBgDxoAx YAxkwkBvtO4I3gM+Jk7tpOMjOD0DTAXKKttSsXZq06CuemVB3w8oq2xCxV4Grl/JCPhsl+0XcHo9 mBmYpMuA+jJ9g0TfHhkIFGiZGujbHXOC+cGSYGGgb3qMBrqG9fqS0iqP7tXKr3JUnkmxGFCbKTCr NlRbDgJqW33vZSRQu+vbLouApSpbHZsbDAfylaFA+eQPUwJ900Zl9gIm2TPQBxOCa1yv4y0B9LBl G3AQOBGcD/4GbgW3gHHgPnAb0P33CnAB0PhM6fcBfwBrgYXA1ED+o7a3docEE2PAGJhC9x6NDdQv qI/Q98SmBRpHqA9ZEGiMoYdn6mfmADqn+0ku+5S1MUzvOrfLANx3PfXO+YGgrHIMFfPNaR70PUC9 NaAso8xPpV4FeeC5rDYcC78aXJrEY0AdsIIo6mRXAtuBw8FF4HbwIvgEBN/4CL7nMZljQvBbW6V5 HyjPQ0CThAuAytserAM0yZgHDAPq9E2yZUATck3qZwcadK0BtgSHgb+AG8B4MAF8AL4C1W0e+EE9 X/iStJPAU+AeoFe+zgEHga2AxkyLAfnDrEABAxN3DIhfBet+BDYDx4Gbga5XtZXaUOMs/Qvh70Gc PkP5lP8boPI+Ak+Aq4Da/RdAfqb21r3HxBgwBsrNwGCqNxwsAHT96/tfx4PLwX3gNfA50Pgh6Ft0 7xCC38FW96m3wDNAedWnnAkOAAo8rgYWBnOCmYC3e8w4lMW5YVqe6Lw9CsdlHTQe1ab+o4nCKFA2 6U2FdgR2fbvl4G04VqDFJDoDmvCvCDTROw3cCd4Bvnz1TXTdDS4C+4ONwSpAE8GpgIk7BvpT9Fxg NbAZOAb8AzwLNADz5QPVenQNazD3V3AQ2BT8FCwEpgEm8RlQW68FdgPi9xVQzX0W+xrEq73/DH4H lgbTgnaRgVRU49giQZO4vgVsoAEF41k+Ia41fiyyKNCoe/ie4AKgILIm+T7uNwpiKqh5K9A9Zlew HlgGKBDhhFtFKHxUrp11TILjBUEZ5Ugq1Y5tewv1VqSubKLI41mgHdvUd51XKZvzOKiPltDtBK4G jwFfnXFUX9CkQJMTBQYuB/uA1YEGyybJGJiV7L8FGgyNAy+BrCb7Uf1Bgzj19w+Ca4ECFb8Do4BJ OANaVXEg0OoNtbWeykflPYt0H2DfQ+ACsAHQSoUyi1bW3F8w3Iy9qxawUbbC5nsLxvVt2KvAXdFk SQw+HMhXNAHXPTyL+0kjnVqN9BS4HZwDdgBaLZCKNFJqx9NzgjdpqUVSaa38FaLBrpbOtZO/aGCy NXASkaPcLEUTl/NBO7VnVnVVpNmkJwPywTXBX4FeRcn7pK/afzR4eB+8AK4BiuJrYqM69QEmjRno z6lh4PfgRjABfAqq+S3i/mfUQX58DzgWrAv07voA0M6i60FB9C3AXUDjpKKOJT7Gdq1GORFoZUAZ 2/YR6lW06+8LbN4QFE2OwOCica1+Wn1d3kXj9uC+cwf7b4Eicf0V9r4B9EDkXLAZmA3o4V0v0JIU qeJFtVUdW1kDAFr2cxkoatvEsVvROF1wZRRNVM4DcXixPK3x9tMyOlCCOo0g73ZAA81vQBn8ScHC yeBxcBz4GdBTEnXWJj8wMJzN+uAK8BEo6iQwqr8qSPQhuB7sCPQEambQLjKIiq4ATgFvg7K1t653 PU2UT5dpnHA/9Ynq43lJp1UaaoeiySEYXLTrQkGwPM9z+mKfnpwfBt4BReO30TWleijIfAfYC6wE tHouUjCgUaF2PL2bXZkDAPjZFCsDRVrbwWc0MTkYlFUsAODPjy0A8MNVNJLNH8GjoB3uIa9Szz+D 34AFgAYm7SYanGjiq1cmxoN2aPdGdVRA4F/gQPAToIBIGUXvCSsAdg7QJLkRH2U6rkmzXmEaBYou FgDw14IWAEiX66Uo7migiX+Z7i+N6nIf9dQ8RSspQ+89jQroOt6nV68OQ2MOGMl0cdXAucoeABhA va9qUPdm3BTt/FPUcxpQVmkaAJC/95lC1wNbuzf04KAvvES4J8jv2z0AoAnB/uAZULT7QFr2vkbd rwQjQDsIl0bnE7nr2b4H0uKxLOUoGKA+5iLwezADKLr0pwLbg3uA6leWtmqlHs9Sb01AinydFzUA oA+pFU0sAJBOi81DMWcDvZbXyvValrRaHfAc2BdontZDQis6on/fjutGz9JxraEHB/+Ak6vnnLnj Z0MHhnII42UPAMip1gLtEF3bVpUtsTQNAMzUt0/HaSNn7LhhrmE9rgm7T8zScevcwzrWn3ZQs3uC zrdrAKA3dVdkWh85atcJQbV/aHCipYllFg0+1ga3Ay0Vra6/7dfnQ98/0MS5qNIPw3WP0+qGr4C1 8w/fBtkDLhT8LJrcj8FFa0P5nVZgFE0sAJCsxaYiu9p9Aiiaz7qw95/wMBj0kFBlowf063hqzPCO Jww9OHgSTh6ef7aO3047OJRDGG+HAIAc63zQjIsin9d7vGV++q82bBoAmLVfn47r5pql47kFRvS4 Juw+Mbzj5QVHdGw5w5Aoft6OAQB9fOdIUKQP+0VpyyRpJsHHgqCMotcblgE3gbJ81yFJW7ead6+C OoXeBb4AtMtS/1ba9Xt4uQv8BAwARZEiBgDULnq1bJaikFyx0wIA8RtMfakCzbrOWrkuy5z2argY BHpIaKXnJADw+PzDOx419ODgMTh5aL7ZOjayAEDgVOr0y7qsUzeTTYOKlngbKQBwDatfnh4zosc1 YfeJ4R0vEBj5gwUA6l0ii3LwRhDa57Th+bIGAOalLRXs0QfvrM1b50DLN/cERZKpMXZLoK9UW5uH c6Ag6AlgblAEKWoAQH54INDKs6KIBQDitdQGZNMrVHbv6c6BBQDSnpxYAKDuFXpYSS8+LaEp+9N/ NagFABIGOy0AIDfqIVqOp5VQ1jH35KBsAYD+tPN+4BVr70T+XrQAwBq09z3W5i23+ctwthnQ9zHy LA9iXFHv3/pItV5TLYocjqFF4/pLbFaQPwuZDqVnAgXVisabD3stAGABAC/X5Ui0qEPz4dS+dOg9 5XW9sJe9EgsAWAAgTS/sS2F/Anl4B1gTKi1D17LkryvQvo7pGtcqH1/3lGo9ZQoAaBXYdaCIy/2z av9qX6jeL0oAQAEffWTqXVBtf1b7uqY14dPKkxfAvUArj64B14JbwENgItB3FjRxydpfP8eGs8GM IK+i1QpaBfAs0EpPcSe7xZ8mXuI9y/toM397FPs0USyCLICR24GjwWVA/voO0L97E9/iWveHZnVO 87z0Sa/0yw71W3eDS8BY8H9gauBbpkehrus06xq3LPm/OBI0xtA2GF/4bq/qOlgAwAIAuKJ7URR7 F1DtfEXf1wCiiB/tidPaFgCwAEAcv6mXZyoOjgVZTKw0QJkI9N2O68GpYF+wFdgUbAg2AluAHYDe tdZTFw1mNKjRMsLXgI/AxST0LAiKLLpvbAbeAnm833+MXWpPTV4eBreCv4GLwBngOKDB9kngL+AK cBuQ/7wE9P/qffhCNXdFCADMAS/ngyyu8YAr8TQR6LrVJPV3QNfTYNAP9AV9aqBjOqcJ97Lgj+Bi 8AR4FwRl+95qorcyyKP0xqiANwV9NPGaBywD1gGbgJ3BIUDX1FXgDeCbwzB9ur7lC0URjacD3gew PxKsAH4PDgDnAN3LngZh9Y57TvfLfwHp2Q/o2loRDAPyAfmD7MtKxIfu1XHrlyTfB+h9EYwHlwH1 IbuCLcH/gV9Xtluz1f1F/CmN+h3leQ6oX9H9K4kdUfJejY5BoIeEZrZvADT+/oG9AtDDl4IDuihf BqG+VZDz32CnLuB2EQsAWAAgDV+XH2lC7fMeoKdQGkCfBzYHCwENmuLIUDItCXYAGvw8AFS+i/pM otwFQVFFE4HTwLfABT9xytTgTIOsq4D88LdA7TkTaEU0SZwTrA7kC2eB24CP/k0Dwz1BXmV5DLsX xGmfNPK8i+4bgQJ7utbTkMEUshbQBPYRkIadrZbxJno3AGWQn1IJH9dKVI7fx55flIHYmjroybsC WFF5iJLuBspr9X5ZY5bTnyMo/WYQpS5ppXkPfQqIKFj8KzA7iCuzkFH9yj5AQYFnQFp21pZjAQBb AYB7+ZMDUTUZ1Dpi0X7fQR3iTiL8sZ2eJgsAWAAgqTfpicAJ4Hvg43r/ED2HgZWAJqMuREtHVf5R YCJIs15FDgBoUn1PynzE5VaD+4uAgj9LgBmAC9GTr7nBT8BY8CCIa3NYvjwHAHaizuI7zH5X53S9 7AYWBS6fPs5M+ZosXglc1aVRuV+i80QwJSi6LEYFXgCN6ur7uFZ5zFp0UuvYPxXH/gzS4PMaynF1 /6xjesuHtALhTpBGXaOU8Qi6dgSLA/HsQkZS6LrgfPA1iGJX1DQWALAAAC7lTxTd0kUT1UHzmE4D sJ/5oywXmiwAYAGApI64KQX4CP59gR49eR4DfC3r7IsuTXqfBGndszShWRAUSbQ0VZOjiSAtHuKU o1UZGtBvBUaDwcCnaAKqieKKIO1AQB4DAAp+7AK+AnHaK0kereo4FKidfcpQlOlp33+A2iRJHVrJ qwDqhcBVUJOivckmaPoMtFJ/V2nF64HAZfCI4jORIWhVECCun4qb8WAUyKsoKHYFcOUf1eW+jp7d geYzvmQQirYBn4BqW5LsWwDAAgC+/LdLz9bs5WlZaKsX0PXY7yra10VSznYsAGABgCQuuSaZPwat Xmutpr8PHasCTUSzkKVQmlaAs2gBAHGuAcqHoNV2Syv9R+i+FeiJyQCQB1EgKs0nnXkLAGhgeizQ JCGtdoxSjl7D0wB2YZClaHK1H3gTRLE7rTS3oE9BpiLLjzFe12xanCQtR8GIlYpMaIjt8tMHQByO 1BetFlJ21qf6YICWzMepWyt5FOC8GMwOspLfozitPtYCABYA8O7Hmjwrat7KhZeXtJ9j99reGcte oQUALAAQ1wu1LO9x4Poavgod0pW1aDngKyBpfYsUANBTMz1t1/0xab3j5r8L3RuCrII/qG4oP+XM WyBu3arz5SkAMA110pL0avt87L+Nzv1BP5AX0cTxYeCj/oEOLcku8rJ1XRd5CgCI13+DoaCMch2V Cnynla1Wtg3PMSF6wPB+zLpF5eFTytdT/74ga9FD1DRWAlgAwAIAmfjyWmj9HkS9+PKS7ixszsuT JZ8NZwEACwDE8TcN0C8DLq9f3Uc0GZCP5kWOx5CkdS5KAECT/8OAlt0nrXOc/I+iVxN/PeHKs/wf xqXBUV4CAJr8XwnitFmSPOPQuQTIoygAeRJIUr9W896DPt+vP6TFfR4DAOL/hLQqmLNy/ok9rfqX 0j8FRuasLoE5c7DzEohTr6h51BevHyjMwXYmbLgNRLW/UToLAFgAIBN31rLBv6fgwI0c28Xxj7FX Uf52FAsAWAAgjt//kUxaquvielSZmgwdCfL0JBBzOp+GJ61zEQIAfanrYcDHtx1q+ZTO40Cen0xh XpdooPoyqK1Hq7/zEAAYTD00SWrV9qTp/4rOESDPMiXG7Q2+BknrGzW/nlrPBYomeQ0AfAiR+r5D 2aRsAQCt9roURL1O4qSTL6yXM0fQeFwPI+PUpzqPBQAsAJCZa6+K5jSeiFQ7tMv967FXT7vaUSwA YAGAVv1eT8P05MDlNXkh5U/dqmEe0q+YQr3zHgDQe5dHgCwm/xPQuwXQALAoohUK94Gk10PWAQAF 245JoR6t8nAlOvN4rWNWXdmKoz6DALejT6syiiR5DQDINx8EReOzWduXLQCgIM3noNV7SdT031L2 Ts1Izei8goxR69EonQUALACQkfv+8GXmm1Jw4kbOneZx3WT02kK7igUALADQiu8rULYNSPMarC1L E+R5WjHKY9q50ZV0YJL3AMDvqaP+40Jtu7j+fT86lwNFlGswOik/WQcAdkmhDq1y8Hd0KqBYJFFw SgEyTSJarW/c9KejS99YKorkOQCgNtgZlOmhT5kCABqTKugV91qJkk9Bx7xeT3qlLEodwtJYAMAC ALhRdrI2qt8DYU6ah3OXYmORnjal3aIWALAAQCs+pXdSXwOurl2tHFIEPK+iycpDIEn98xwA2JS6 6ZWoJPWLk/csdM4IiipHYbi+WRGn7kGeLAMA22G771V7F6CzqE9i+2L7viBoOx/bP6OvKGOVvAcA dI/Taq6ySJkCAFqW73KFzVuUv2COG35VbEv6kMECABYAyNTF1UFeDHx0jHF1fIl9i2fKUvbKLQBg AYBWvND1oPdpjMnzpEDLvfW+ctx7jvLlNQCwMrZlEbQ9H726DxVZNsP4pIO2rAIAy2L7uyCJT7ea 92b0KZhWZBmA8ZqUt1r3uOk1KdqxIITlPQCgNrgHDC4In83MLEsAYDoqqslr3GskSr4LKT/Pqz/m x76kD1ksAGABANwoW1kU9R+AKBdlFmnOwLb+2VKUuXYLAFgAIKoT6gOfzwKX1+pBUY3JKJ0GDmNB Eg7yGACYjzo9k7BecTg5G515XYqJaZFlaVK+DeJwEOTJIgAwGzb/K6Hdgf1Rt2+ibxFQBpmFSiiY EbXuSdPJx35eAOKKEADQ9XZIAbiMYmJZAgD6GLfL188U4P5FFEIzTDMtuh8HSe4VFgCwAECGLvw/ 1acldOQkF0FYXt0IlvqfmW27ZwEACwBEdf4NSOjyy/9agrxAVGMyTKd35MPuLc3O5S0AoFUNtySs U7M61zt/CTqL/uSfKnSKVq28BOrVM+ox3wEAfezxlIQ2R61bkE6D+21AmUSrCN8HQR1db59E18w5 J7AIAQC1kwIqWnJddClDAED3o5OAy+vnfsofWoDGvjMhDxYAsABALtx8Dqx4NaEzu7ghHIRNfXPB ULZGWADAAgBRPfA2Erq4FoMyH6L8AVGNyTCdBoxajhvY3eo2TwEAffn9QPB9gvq0Wn+lvxBoRUmZ 5A4qE4eLII/vAMD22Ouz3VW/w8vU4FV12Yp9l08uAx8JtuegL88rZ4oSABCfD4AZQZGlDAGAETTA RyDw8bS3utedUJBG1vWdpP4WALAAQG5cffeEzpzkQqiX9w3sWTA37GRriAUALAAQxQPHkMh1IE9f utZTgLzLwhj4Fqh3b4lyLE8BgJ9RD58TF/HzMNDS87JJ0qfpPgMAC0H+RBDFX9NK8wj68vx9D8yL LQqkXQvS4qpZOZPRtUVsa91nLFIAQNed/gNGkaUMAYDf0gDN/D7J+a8of5OCNPIe2JlktaUFACwA kBtXnwNLXgZJLt608ioKeG5umMneEAsAWAAgihduSyJ9NDOt67BeOTtHMSQHaYZhw2MJuMhLAECT 8OcT1KNeGzY7pve/1wBllC2plCYTzThodF559/RAjL578/cEdjayP+y47h2aFJZZ9F2DD0EYD2me 07U0d04JjRsA0MoqjRU1WUuTq2ZlvY++JUBRpQwBgAsgv1k7JTn/MeXrWy1FkF9g5Gcgbn0tAGAB gFz5+bFYkySiFfdCqM33LnYslitmsjXGAgAWAIjigeeTqPZaSvv3xlEMyUEaTaCS/J/iPAQA9DHD M0HabRhWnoKvRX/SRhUayrKcSdLH+QoAaNVH0v9YENbO9c5pdUSel6w3bNQWTuiaOhDUq7+rYxej T/ejvEncAMC3VOR4EHdCm4TnG9BbVB+Ny9dT1HkkyFrEu+tg9AfomDPrikbUPy/pFJSK688WALAA QERX85NsGGqSftky7sVQnU+BCJP/MWABAAsA/M8b6u9Nw2G9J1l9HbnYV9S7KKJ32ONykIcAgJYP 62lb3DrEyaf3GjVJKqvoOknyDquPAIA+HufjWq72jwnoHF3WRq+pl94lvxNU19/lvq7hHWpsyMPP uAEAcbUPmAe8A1xyV6/ssegsohQ9ALAipOsJfb02SevYe5Q/U0Eaty92vpKADwsAWAAgd66+IxYl eUKS9EagDmVU7ljJ1iALAFgAoJkHajCWpDOKet2u28yQHJ3Xkz5N2KLWrTpd1gEA/euyR2PaXl2P VvafRd9coMwygMolmVz7CADoFYNW2i2NtCejs1eZG76mblrJ9D1Ig7soZejBil7nyZMkCQCMrVRE 70FHqX+aad5E508q+ou0KXoAYGvI1n8BSrMta8tSAEB9X1HkVgytrUPU3xYAsABA7vxck81HEjh1 VOdvlG5/dJf5CVScBrcAgAUAmvnNsiT4DDS6rtI6vkkzQ3J0XoP8T2NykmUAQPe/nWLaHbedJ6Pv d6Dsoqc2fwFxeXIdABiObW8lsC9OvSagTx8cbCfRJMP3asft0ZmnIEsaAYDB1OkWEMfvkuQZh85B oEhS9ACAXvtwHTTTKwB5/WZGPV87iYNx/dgCABYAqOdTmR/zHR0PLqAXqXmRLn5fDWUBAAsANPM1 Lc0PriOX273Rk6dBbBgv+piQnhbF4SPLAMA82Kx7YRy74+a5F33TgXaQnalkXJ5cBwAOT2BbnDpp QH9COzR6nToewrFvQBze4uR5Dl0j69iR1aE0AgCyfRngO2gl/vVEuih9EabG/mZCXr4BcC11iOP3 reRRwH5lkVUQ0YeXW6lfdVoLAFgAIJdurgnndQkcu9rJW9nXxVSkG7qvxrMAgAUAmvnaNp6u10vR 06+ZMTk5PxQ7NOhu5R4UpM0qAKCn/3+OaXNge6tbvRO/HmgXWYWKtspRkN5lAEBP4eV3gS4f27fR Nwy0oyjgFff+ELdtjs0R0WkFAHTPUv/j+ulwLedaLr5YjvhsZkqRVwD0oXL3gNo2SPv31+jYoRmR OTqvlZdxObAAgAUAcuTK3U1ZnZ9aFhrXuVvN9zy6RnQ3wX5VGLAAgAUAml0Mu5Og1WsuTvqX0CN/ LIqMw9A49cwqAKBJ4CcxbY5TT+VRsLcvaBeZj4p+COLw5TIAoOWkvidRZ7ZLozeo51Ex/SCO7yiP Jq2zgzxIWgEA1UV9wjgQl5e4+W5G5wBQBClyAEDt+xCI206t5LugCI1ZsXFWtvr3qa3UL0hrAQAL AOTW1QdhmW6ugbO63GrQo6WPJvUZ0M33PNCwDWbt16fjmtGzdDw9ZkRH2tdUGcp7YYERHX+YYUhD /qq41aCoaKInMAeBKPVLmkZLZpcvEEHnxOTlXfJpMu5bLkBh0jZqJf9X6FsFtJNo0HY/aIWnIK2r AIBseiamTYFtrW4V4F8BtLMsSOV1DbTKXdz0GuscmxPC0wwAqEqrAAU44nITJ5/6o91AEaTIAYBp IfgxEKeNWs2jj98W5T8BiJenY/KiVyo0z+ohoYTNOaBfx+MJn4iVYVBfrw6PwctD883WsdG0g0M5 hPE3wSI9mLcD1QxsxI/PQDMuk57XU8WR1YptvxsDFgBIeL8reQBAS/I1qEx6HUbNf2o378z3jy0x T6uLXmwBuh9pueM8wKcsirK3QNR2SCOdgrxa3tlOMpjKXgji8OcqALAh9nwb06Y49VCe24AGsO0s A6j8rSAuh3HyvYC+OXNAetoBAFXpMBCHkyR5XkfnUlKecylyAGAY3Mad6Lbath+ja9Oct2Vg3lTs nAZeBq2OMfSqn/L3kFDCLAAwvOFTTgsA9PClJAc0sbgMhPpjCud3SmJkG+S1AIAFAMLcvD8njweu r9Og/NfQNX+YQTk6p8meBtujW8BcpB0FxKtPORtlekIY8Ox6K11r+KxgTnTpOzN7grj87p1yPaah vGsS2BO3Hr9LuR5FLW59z9wr0KNXD7IWFwGAIVTqFhDXJ+PmuwOduo7yLEUOAMwGsT5XKN2APo17 8y7qS2YAGjO0OsaYmTy9QQ8JvQgsAGABgB4e4+7A4hStiFyoTyY4/yR59TEek8YMWADAAgCNveOH TuQQEri6RmvL1cRR0WuT9BiYg6L0BKGWa5e//4W+6dOrQqFKWhhrNQk7tEXoOlsRpClLUth/gcu2 ri1bKyAXSLMSBS5L156vp5tBOzyEzqyvPRcBALnBsuBtENTVx1ZBlS1AnqXIAQD56mPAR1tKh+6H K4O2lFCSLQBgAQDPV4WWuIT6ZMzzmkj8wXNdiqjOAgAWAGjmt7uTwMU12qjMt9CniYtJOgxsTDGN uHZ13FZepdN2SUrREyQFIVy1caNy9cS07vLTJJUpaN4psftU0IgrF8cnoy/r1TeuAgBygz+B74AL 7hqV+Tr6xoC8SpEDALpXKGjViHsXx/V62tR5bUyXdoWSaQEACwC4dL46Zeum+j4I9csY5+8lj94t MglnwAIAFgAI95ApptiSBGlfn83KuwqdWmJvkowBLZu9AjTjO83zWtW1VDKzLXcKDOj6eRak2bbN ytLE7LgUbC9TEXodQg8kmnGX5vlj0KfXLLMSlwEALW/2PWFU21wO+mZFaBO9RQ4AaKn63SBN/49S ll7VajsJJcYCABYA8HxF6OJP8s5kPX9WBPzXnutRVHUWALAAQDPfXYsE9a4z18cuQK+eoJnEZ2Bp sn4JXLdVdfm3o29AfJMtZ0oM6Cmw7yel76Bz9ZTsL0sxC1ERvRZRfY243p+EvuEZEugyAKBqrQQ+ AK55rC5fQZzdQB6lyAEA8angSjXXPvb1KsBWUt5OEkqsBQAsAJDBxTAXOl8Bob7ZwvnxpB0KTJoz YAEACwA08xJ9q8PFKp1m17sGXHqamNenLs14y/q8loDrvfJmPKd5/hv0HZB1xU1/JwOn8DfNto1S 1iPotOBPdwcUH//OoC2yfAjiOgAghrN4vWUiepeT8pxJ0QMAB8KnvrUQ5R6TZhqNazbNWVs6NSeU PAsAWADAqfc1LvwETqXxtEID0G0bq7EzNQxYAMACADUu0eOnvtL7FAjtOxyd/5pyDwcWBICEFkXv Vj4BfLabnnQqYGSSLQOadD4JfLa9dJ2bbbVzq/1ULFNA02d76DWqrMRHAEBf5r8P+ORUum4A/UGe pOgBgPUh83Pguy2l7y2wBmgLCSXYAgAWAMjoKpgfvc+DUP+McP5h0tjTf0iIKBYAsABAM1fRZOIm kPTajJtfQYD9gHzVJDoDPyKpXoeKy3ucfFp9leW7x9HZKXfK5ameluPHacO4eRR836bctMau3ebk /ALE5TZOvrfRp0lyFuIjAKB66XUT36vTdE/dSMpzJEUPAOi/Zfi+X1VfU1qBvG6O2tOZKdWV7rFv AQALADjzvOYF70ISDSJ6+GULx37ZXI2lqGLAAgAWAKhyh4a7+3LG92Sy9j6g/2c+S0ML7UQtA3p9 wudTR+k6vtYI+50JA/uj1feSWk1wFcg36cnAGA75/g6AAqdZvQbgKwDQhzruCmr7Cte/X0fnvCAv UvQAgHjUygrX7RZWvu5fen2t1AHsMAI6LABgAQAugKxkMIofB6E+GnL+Fs4NAibRGbAAgAUAoniL nib7HsDWuw88hB2rRTG4zdPo/f8HQD0OXR1TgOhnbc57HqqvtlewzFU7Nyr3JXTmbWl0HtpDNmii +iRoxJ2r43+R8gzEVwBAVdMqhweBKw4blatXLNSueZAyBAC2hshGXPs6rj7sSjBrHhrVhQ2hRCoA 8AQD4scMPTh4HE7Gzzdbx0bTDg7lkEbTQHkRF43XBmX+jjrGeWr1FfnWbgN+0q5ipADAtaNn6Xhm zIge14TdJ4Z3vLjAiI4/zDCk2T1B5zUoKqpoUpHFh6zq8fohtmiwYMG+xt60KKcmgXr8uTqmpbjT NzbJznhiYAb0PApctXOjci9FZ29PdSyimr9m0Cb6KONUGZDlMwCg6q0DPgaNfNPFca2w2ArkQcoQ ANBrAHoK76KtWi1zPHasmoeGTduGUCJGEwB4loH+04YeHGgC9ChBgI2nswBA2k5ZVd7U7N8NQv20 znn9GxFFgk1aY6BpAGC2fn06rp9rGBPdkT2uCbtPjOiYuODIjq3KHwCQV+njmnGCc61ey1HTn409 C8gwkx4MbM8RBUWjcplGulvRZx9r7NEU3g/o4cNbII02baWMPbzXtFgKd86gTV5D5zIZ0OQ7AKAq ZvFfL15E75gM+K1VWYYAwJRU6hLQyj3HZVr9m0m9XlKq1w5DCRvYu1fHcoOmNDTgYJlBAzpmYULU xEltBQAEJZC1yKvoajOeg/OfkLaU0boEHEbN2jQAMIB7wmIDB3QsP9juC/XujSvCy2z9+ga+GLYt 8goA+ZNe0XkahNXR9zkNcI+o2MbGpMLAhWx9t8Vh6OxlLZA5A7/AgjT+o06r/rN25jXPtwErZ9Au WtL8pwxoySIAMB31vBe06rdJ02vyrb4xSylDAED8rQh8r+Ro1v56LTlvH30UV7GkWWXtfPIbiAUA YrlmVyYtWbsDRPVFvftvT5666Gtpp2kAoIV2iNpe7Zqu6AEAOVYWT7Ga+YtWJdwJVgH9QbuL7p/j QDPe0j5fmkFSwR1IE76027ZZeboG8/AkNM9NNxvGaULejMu0z5+bASlZBABUzdWA7wmkPlz9GynP UMoSABgChxeDtK+BpOV9hk26juYAvUFhJSkRlr+5c1oAIPnlsTFF6KJr5m/636E/T66ubUuwAEBz H2vmg1HPlyEAoEHsMyBqnX2m06qhc8CSoJ1lLiqvpak+uf8OfYu3M+k5qbuW0Z4KfLa9dGklzghg 0pgBTW4mAt9tczs65Rc+JasAgCZn+wHfr6o9h05NDrOSsgQAxN+aoJUVwD6vp7exbX9Q2HudT7La VZcFALhCEoo6rBtAMx+6mTSFjsgl5ClpdgsANPexZj4Y9XwZAgDyt82BnnpErbfvdO9h21iwNGhH WYFK+/6YkiaAWQ6A27Gd69VZHwC8Hvi+5u5Ep3SbNGZAfe0dwHfbPInO4Y3NcnImqwCAKqO6qs6+ eT4bnVmNRcsUAIg69vfdvtX6HqCttwUKthdKFKmvrojtp8/HG3C8cKG8Ip/G6knep6CRjypKqH9P ZhKfAS0XPhc04tiOp8fNj+M3U65yaiB7ZwF8Rl+l/wfYEOTl3zVhinP5NRp8X7cK1k7vvGamoBkD CsK8AHy3vyY/6ktMGjPQj1OnA99to4+Z+V6dk2UAQC2wNggbO7pog2/RuaWUZyBlCgCIvkWBAvku 2inNMl/CRo2fFwOFkFexMk0CrKyefGr55chCeEP+jVSHORnU+plutmcCdaom8RnoS9bDQS2/9jtd TrQkcYn4zZS7nPrQWBE6aPmxBoL6zyIanGmSmtVTGlR7kT3Q4vv6PQ2denJjki0DC6Le939/kK8d Asp+XaXRsrtRiO9rU33PT9IwvoUysg4A9MLWk4FvrvUqgP4Lh28pWwBA/I0Fvtsvrr53sPUqoIc8 WX8QEhMay1hOxa2k5YvG3dWN6bczLTLQn/Q7gDdA4H96xUKD3EHAJDkDumnleUl30O5F3t4GxzMl b6pclXAQ1hStTSZg8wFgDFDwq2yip7B6Guu7XQ5Ep00As/em5TNoe/naTtlXvRAWbJxR+2zmmZ2s AwCqrvpbfcHd973wSnT2Az6ljAGAoRCoV3x9t18SfVph/xD4LcjlQ+AZMUyD0SSVtLyN+Y5FjP4A AC4zSURBVHsKbpcCJukysArFHQGOBKsDk/QYUMTyPGDXtRsOtARzjfSaKzclDcSS60AR/eZ17D4O rArKtHRZKxxuBL7bRO9DmmTPwAaY4LvtpU8TW5PmDCjYnkX77IdenwG6PAQA1BpaqfYJ8Mn5F+hb B/iUMgYAxJ9epX4R+Gy/tHQpELAb0KvMuZLpsGZ/cD+YaEjMwWtw+DDQBHVuYGIMFI0BRVs3BbeA CWCiIREHetXqWaCnsWX+GJ2i3A+CtDpN3+VosKbXA7YCCoQVXYZTgSeAbx7XKzpxJbBfy553zaDt 5Wtrl4A/H1XQwyHf16b0qR/yGej8Kfo+ilnXseRLS7TKS6uTfHP+PDpHpVWJCOWUNQCgqq8JfAdx 0vSXd7H/UqBrIjeiaOAMYFZDYg5mg8MZQRmXlFItkzZiYBrqaveEdDiYBS59DrqyctNlUTwJpNlp +i7rS+x/EuwI1C8WVRSA9v1tBi171JNNk2wZ0JjucOD72pmMzpWzrXphtC+EpVlMZrQqSH27L8lL AED1VT+cRVD0HPQqKOdDyhwA0H1tX/A18H1vS1OfAmK3g18CrZ40MQaMAWPAGDAGCs/ARtTgfZBm h5lVWS9Tj63B7KBosiAG++ZNE5plikZUCe3tQ53+DHy3/8fo/FEJ+XRRpXkodALw3Ubj0amHVL4k TwEA1fm3QEFen7xL34bAh5Q5ABDwdww73wOfbehCl+pwE1gHTAdMjAFjwBgwBoyBQjOgSfPnwEWn mUWZeq1LrwZoRUxRRBMx31y9hc4svnxdlDbxZWc/FF0CfLf/O+i09o/WyqNI9kgGbaT3qIdFMzGV VHkLAKhSFwDf14ZWlc0OXEs7BAC0mvJc4LsNXeq7mvpoRYCtHocEE2PAGDAGjIHiMrABpr8JXHaa vst+ivro3eohIO+yFgb65kcfVFwg78S0gX0DqOP1wHf7v4FOa/9oDqZg4l0ZtNEH6NT3WnxJHgMA Wb0KcBmk93dMfDsEAEShggD6poNeO/N9n3Ol71vqciv4FTAxBowBY8AYMAYKy8CPsVyTQlcdZhbl TqY+jwIFODQIyatsjGG++XkFnfPmlZA2smtK6vov4Lv9X0XnfG3Ec5KqzkxmDfZ9t5EmTKOTGN5i 3jwGAFSFnwPfrwKo7/iZlDuUdgkAiEKtdDoU+G5H19esXqW7Buij0frugYkxYAwYA8aAMVA4BlbH 4seB607Td/kaSF8LFgV5lC0xyjcnWl48Zx7JaDObFAD4N/Dd/i+jc+424zpudfUe/g3AdxtJn88g XV4DAJo8Hp4B/3qdTB8LdyXtFAAIONyBHa1syeJacqnzM+p0EHDpLxRvYgwYA8aAMWAMuGFA7wXr YzcuO8usyp5IvfRagJaV5km2wxjfnDyLzlF5IqFNbdHKlPuB7/Z/AZ0WAIrmdProl57y+W4j6dMH Qn1JXgMAqv8cQEEr321wrJQ7knYMAIhKfWRRr+j5bksf+hTMXQ8osGtiDBgDxoAxYAwUioHBWLsH KNtyvWAAoNcCtOw+L/InDAls87V9Ap2z5oWANrZDAYDxwFe7B3qeQafP98uL3MT6V3yXZ9BGaqsl PBKX5wCAaNA9+3MQ+LCP7Vfo04TVhbRrAEBcDgd/Bz7a0LcOfR9A33WZH5gYA8aAMWAMGAOFYqA3 1q4PNFHw3YH60KeB5GFAT/eylt0wwEedq3UoCDJz1hU3/Z3fpngwg/Z/Gp0jjP9IDAwl1cWg+vrx tb9cJAvTSZT3AEAfqnl+Bu2g1+JGp0Nxt1LaOQAgIoaAfcFHwNf15FPPROr1f0CvsJgYA8aAMWAM GAOFYkD/huosUNZO+nbqtkjGLbIT+n0OTKTrSWDvK2bc8KjXCoB7ge/2fw6dswOT5gxoRdR5wHcb Sd+yzc1LLUXeAwCqqIJWLwHfbaH2T/vfvrV7AABKO0U+fjPw3aY+9E2mXicDjaNMjAFjwBgwBoyB wjGwERY/Bnx0mr51PE+91sqwRbbOgFf7BkCGDV6lWu+KZvEv5l5Er4unmlVVK82uVgBcBHzfl6Rv CY8sFiEAIDr0VNX362kKgK8C0hQLAPyPTQXZjgJvgCyuM9c6b6Ne9soVJJgYA8aAMWAMFI+BWTFZ T6tfA647TN/lf0qd/gB6Ad/yexT6rq9NAH23cn19Azh8SwbtPxGd8wKT5gzoGwBXAN/XqPTZRwB7 to+WVOvjfL7b41F0pvkBWQsA9GzbBTh0CvgC+G5f1/r04cOlgYkxYAwYA8aAMVBIBvTk8FSg/4Hr utP0Wb4GHbsCvWvqU/SRKZ/1lK6JYD5gki0D/VH/N+C7/SehU4Ntk+YMTE+Sa4DvNpI+n0Gan6JP T7rj1HMs+XzK7CjTayxxbE2S54QUK2kBgPpk6p64PBgH9BHGJO2Vt7z6TxarARNjwBgwBowBY6Cw DOjdvavA+yBvHW1ce76hLgoCpP2+J0U2lLU5E9feuPleR6dNABs2ibcTepp5LojbjnHzvYXOhbzV stiKZsT8G0BcruPm071I//7OlxQpACBO9OqUOIrLb5x8n6FvTZCGWAAgnEXdGzcG94AyBQImUJ9Y rxwqMqKb9goG4yBDH1gO3Wm/z6KPIS0FVsywXnZdtfe9Rb73IzADMInOwLokvRJoGX2cQVXe8ug/ BGhw6Ut03/PNwdvoXNRXBU1PQwa02uRE4Lv9FbRbvKFVdqKaAS37vg1k0UZpj7Oq61W7X7QAgCaI WayeeQC9eh0uqVgAIBqDQ0i2PVAgwPc16Erfi9RlfhBZNPG/FWjplpZeGoyDrHxAy8S0/Gos0Mc7 ksovKeBe8C7Iqk6m17iXD2hgrI/d7QRMWmNAwZOjwHvAVcfpq1wFAdYBPmQ+lPh+wqEnWcv7qJzp CGVA35zYD/jy60CPPqJm7R/aNF0nNdn7Nwi487XVJCGNiWZXRZrsFC0AoOrMDnz/V4Dv0HkO6A2S iAUAWmNP3+JYE+hhw3+Br+vQlZ7HqcOcoKko0ZPAlSFWrnEbxwe+xSf1TpRWpsQVLYV5B8TRb3mM N1c+oA7mtyCLj8KhtrDSF8vnAoeCN4EGS67ayHW5r2K7j6ek6t+1JN91farL/x59GvCbZM/AFphQ 3TY+9tX+P86+6oWwYHasVFDYR7tU63gInXr9wJcUMQAgbtRPfwOquXO9rwDaqiCJWAAgHnt66KiH DX8HRV91eBN1GAhC5SzOunZoK984juMDk/HNJUO9t/FJLfsfB+LotTzGm2sfeATfHAFM4jEwO9kO AU+DogYCxmH7tMClzEbhDwPX/lxb/oYuK2VlR2ZAQfDatvHxe93IFrZ3Qq3Q0cpbH21SreMf6Jza I/VFDQAMgqPTMmiff6MzyeuCFgBI7tz6DtGFYCKovnaKsq9x0TFAr7M0lLc5U5QKmZ3t11a7N/Tc 8BN691VP2cxnjIO8+sDS4S5sZyMwMIo0+4EsJrlp+NVhEeqYJIkCDBrsp2FrK2Vsn8Roy5saAwqg t9JuaaX9Q2o1KHdBi1A9PfFNi/eo5ZyJzik9UlvUAIAomhdoxVlUbtNKt7+UxxQLAMQkrk42rQg4 F0wAabWtr3L02ukGoKH4MsT0FM958tBmRzf03PATep/Hglvmc3nw4UY2/CTche1sCwzMTNr1wPVA S5AbcZ63459V7GbjRPTahJ4C+K63XtPo46RGVmgrDGjy8i7w3f57o7NXK4a2adrlM2gb+YKCpj7b p8gBALnmtsB3oEZ9g8axccQCAHFYC88zN6cV2NbqTd/30yT6tEqy4fc+khRseYvlCEVsLwsAmI8V 0W+j2KxBkUm6DAyluNXAPaAoH/O5G1tltyvR4DWKP6aZ5i/oHOiqQlZuZAZmI+UDIM22jVLWcegM XXoauQblTviLDNpG7beJZ1qLHgCQL1+dQVvp2h0Wo60sABCDtIhZZiSdPuSsD0QW5fXDhiupo9zM LY3/DtQ4/4FzCwCY75X1WrAAQMQeN0ay/uT5HdAASt8SybMPacXCb4Ar+TkF+14V8S90aqBkki0D es/7MuDb/y9H55Bsq14I7Vtm0DaatChI6lOKHgAQV/OAScD3tXQqOltdTWUBAEhzLOrfDgbPA98+ 0ao+vcIyGvSQVguy9Plv7DK1kQUAzN/K5M/VdbEAQI/uKPUDegd+N6BlcNXc523/DuybDrgQfWvi I+Czzm+hb04XlbEyW2JAr4AcCXy2vXQ9BPRajkljBnpz6hDgu230r1QXbWyWkzNlCADolYntwDfA Z5vpFR69h96KWACgFbaSpVVgSB/Tfwf49ItWdR1Vr5qhhUzXt0/HXjNP07GHwThI0Qf2mmWajg2n HdTRr1evUP/DYZ0FAJYYOKBjtxTrZNeI3SfkA/sNm6ZjmUFTNvNrnbcAQL0eyc2xERSr95I/BFHa Jos0WrHgQmah0Cz+1Zi+omySPQObYIJvf/4YnRYACm/7AZzOYln5E+jVqyE+pQwBAPGlNjsT+L6e 9JqYgtlRxQIAUZlKL50+6HkB+Bb49o8o+t7GLgUrukloxjkH9Ot4Yv7hHY8ZjIMUfeCpMcM7zhw5 Q8dUvbMLAPzfdIM7/jOf+bZd2+n6wIsLjOjYYoYhofdV7sA6bwGAbl2R8x964qZO+gqQx9cCtGxe A8y0RfXWxxGj+GSaabZIuyJWXiwGViWX7w+YyY9afWoZq3IFzqR/MafJeJrXXJSybkKn7+8zlCUA IHebD0wAUbhOM81YdEYVCwBEZSrddPruzZrgKZBm26dRll4DPBR0k9CCFQB4nInfowbjIEUfeJIA wBkZBwA2JgAwngCA+bZxkKYPKADwBwsAdOtkcvZDy6L/BCaA0P7P8/mv0bckcCH6KJvv7wCciE4F H0yyZUATlonAt69vnG21c699eiz8PIN2OS0DZsoUABB9uwN9S8HnNaVVNSuAKGIBgCgsuUujr+7r OvsE+PSRZrrGY0+3Vw1DM1gAwCZHaU6OgrIsAGB+FfhC2bYvWACAPqYQshxW3gZC+0CP5zVBPwK4 EE3GPgU+63on+hRsMcmWgcGovx/4bHvpOijbaude+2JY6HsSqf+Msn0GzJQtAKAnvbcA39fUHejU x+eaiQUAmjHk5/xmqMnT94f0CuSvq6se6sAWALCJmosJmgUAzK9c+FUeyrQAQHX3kvt9fal8X6Cn 76F9oafzeld/KpC2zESBLwKfdVTAYUTaFbHyYjFwLrl8tr103Qj6xLK2PTJtRjV9r8p5FZ2LZ0Bv 2QIAolAra94APq8rvV+ulVXNxAIAzRjyd1594A3Ap5+E6TqruuphCTssAGATNReTKgsAmF+58Ks8 lGkBgOrupRD7mqToqdj7ILQ/9HBeXxJeBrgQ3x8c02BVKw9MsmdgW0zw/R2At9Gp1Qcm9Rk4g8O+ 7zf3oTOLoEwZAwBq1a2A74++6VUA/WeXMLEAQBg7/s9NjcrTge//IFHv/vJv7BgaUFAvQdcxCwDY RM3FpMoCAOZXLvwqD2VaACDoWgq3XReLs/g/z139Lfq1RFffJ3AhW1Lod6Ban+v981xUxMpsmYEF yfEmcN3e1eUr4LBsy5a2RwZ9G+M/oJov1/tabXB8RvSWNQAwDXxeAFy3XW35Wl2jSWUjsQBAI2ay O64Pb44Fn4Ha9vT5W6tWuv4bQKhiCwDYRM3FpMoCAOZXLvwqD2VaAIDupbiShyBAtyV6KVI5mrJ8 Dz4eR6eLVxpSpKUtitKE8wEQOt5L+byejLoKZlF0oWUOrNdA3Gd7KLj4s4xYK2sAQHQuDN4DPttS unYGjcQCAI2Yyfa4ggB65TDLlQDSvVxAQ6jTWgDAJmouJlUWADC/cuFXeSjTAgBB11LY7VpY/gEI 7Rsdnr+Zsl0s01WZ1zq0ux5f76JvdWCSPQP7Y0K9NnJ57Krsq51LC/RqjO9g3Evo1MfrspAyBwDE 557A93dk1EetIOV1xAIAdUjJySF9GPdE4Hs1XvV9/v8CLqoP9ti3AIBN1FxMqiwAYH7lwq/yUKYF AIKupdBbRekngx59oodjelIbtryT07HlN+T0WSctOz46trWWMU0GlqAw3z6t/4fd7d9OpVmhApd1 Arb7/gDgqRnyVfYAwAC4VeDW571Vuu4E04JasQBALSP5+q1A3N+Bb38J9O2D7l6iJDhQd2sBAJuo uZhUWQDA/MqFX+WhzJIGAPrTVwyKAX0ETIOjoomell8G6vaLjo/r3wbpy8EuZBSF6kmgz3rdhT57 DcBFa7ZWptrgYeCz7T9En16rMfkfA1oGfCfw2Q7Stdr/TPC+V/YAgAjVqwDvA5/tGgRYOydzMqIi RQwA6P4Ud4zhYsVcwKWr7UgKfgH49JdA18no1ZguXLkFAGyi5mJSZQEA8ysXfpWHMksaANiQvuKc GDiPPHuAInbQ+lCO7/d01UFrgj43cCEKxujpYzAQ8LHVUtUlXVTGymyJAX0HQE9+fLR5tQ75m8n/ GFiA3ddBNUeu9xVUnOl/Jnjfa4cAgK4vvQrge2WHPlyrj3xWSxEDAFp1F3eMsXJ15Qu0/zts/Qq4 vv5ry78AnVOCcMUWALCJmotJlQUAzK9c+FUeyixpAOCUZn1FyPlnODcjKKLoy/m1nafr36+ic36H ZK1E2Z94rtd+6CtiECiNZtDrHJsAfRBvxxawA2nT/p/tekrp+/sW96JzKDD5gQG9f+t7krgLOjVB zUraIQAgbrW0+xLguo+oLf8GdA4BgRQxAPAYxtfWK+rvI8hbxP5FAfmzE9Q7Kj+16S5HZ+f3QGpP dPttAQCbqLmYVFkAwPzKhV/locySBgCOS9BJTSDvvKCIMjNGPwS69YuOf79G+WOAK1Hk/07gs04a 3M3mqkI5L1erH94C+kiYvsQeFXoytBtIUzRJ8D1BeQ+di6ZZiQKXpWXOpwOf196H6Es7kNRqE7RL AEC8LAbeBD7bWAElBXkCKWIAQN++icvZReTtnNAGBBRouwq2fgri1j1OvivQZwGAPEwY2tEGCwBY AKCsfm8BgB4d2cd0NsuCooqe2sbpZOPmeQV9ev3ApexE4b4/CNf15WGXFcth2ethUxxf0KB+Lwf1 2YAyv4lpU5x6KM8fQO17yhxqOxlNjV8EcXmMk+8W9GU9OWqnAICc+mDge5VHdaCt3QIA/4bvaUR8 AUUB+XtAnGs7bh4FTBSMDFdqKwBsouZiomYBAPMrF36VhzItANCjT9G/u1lbnU1BRU9wPwJxO9tW 8z2PrjkcczWM8vVecKu2JUl/N/oGOK5X3orvjUGaxMfhTdeN3ilOW4ZToHwsjk1x89yIPlf/2SJt flyVpwDIRiAuh3HyaRWJAphZS7sFAKaFcL36EqfNkuS5Dp0K9vwjpu6nyDcSZCFJVgC8hsEzZ2F0 SjoPpZxvQZK2byXvmejq7ItDM1kAwCZqLiZVFgAwv3LhV3ko0wIAdTuxzVPqKLMoZhBK9YQhtK9M 8fzDlOXjmwmaGGiS6ate0tVuqwA06b0qJseuAgCYM8XxwOcTSq04WAW0s+hJn8/7iK5rTaoG54D0 dgsAiHK9dvEB8HV/lR5dZ3uAv8XUW9QAgO6VWl1TVFkCw/Wqji9fOQRdfURWqEILANhEzcWkygIA 5lcu/CoPZVoAoG6fcgB9jZ6AFVXOx/DQvjLF83dRVufyPMdkDaH8x1O0Owo/D6FPettFRlHRuE/b XQYA5seuSSBKm6WVRh+7amdZjsr7fO1Gk8FtckJ4OwYARP2uQNdxWtdQlHJeRt+EmDqLGgAQL6uC okpfDH8RRGnfNNJ0rQoKLcwCADZRczGpsgCA+ZULv8pDmRYAqNuJ/YXOLev3UJMMDvYhs68letcm MbTFvPo3RD6fBGtJsgbF7SJ6fSQuvy4DAOLf98fo3kXnLFLcpqIASOh4O+Xzj1BeXu657RoAmIE2 +HvK7erSh4ocANgCnoss12O8y7atLvvnAVHVB3vsWwDAJmouJlUWADC/cuFXeSjTAgB1O7Gb6HA0 GCqqbILhn4EefaSDY3/2SNJ06BrnoA5hPD2JPh+vOKAmc9kUC8K4CDvnOgCwELb5/LaFAmj7Zt4i 2Rig96pfBWHtnfY5BffyIu0aABD/ywJ9CDft9nVRXpEDAIeJ7ALLqdjuok1ry9QqpKUDnmpPdvtt AQCbqLmYVFkAwPzKhV/loUwLANTtxJ6jw5kj6HQKuF0Lm/WV5W79o4PfX1LmVsCnrIGyT4HrulWX fyD6tOyxzKL66WNL1fVuZd91AEDcj01gXyt1CdJqmeu8oN1Eqy3UngEPrrd6mpiHd/+Ddm7nAIA4 8P2Rt7j+VeQAwJWBsxV0uz92x223VvK9gp45A45CM1oAwCZqLiZVFgAwv3LhV3ko0wIAdTuxL+hw Fgg6nQJuV8Pmt0Fof5nC+bcoY0ngU/QxoMuB67pVl/8J+lb0WckMdOmjbw+D6nq3su8jAKCB4DMJ bGylPkqr1yGOAe0k+peeE0GrXMVNryDiKiBP0u4BAH335B4Qt0195StyAGB8nhw+hi27e/KPO9HT FRwMdSwLANhEzcWkygIA5lcu/CoPZVoAoOEgp8gTPg1g9Q5zaH+ZwnkNYjq/zsvWpyyOsteA6/pV l68Bsf5dVllF77t/Dqrr3Mq+jwCAuN8GaHl+K7YlSfsCuoaDdpDeVNLXwD5oEwXztPokT9LuAQC1 xfLA90qrwCeiboscAHgTfgeI6IKKXo+K2k5J0ulVgy4JLcgCADZRczGpsgCA+ZULv8pDmRYAaNiJ bdLV6xRvZwNMdv2+tJ6OnpAhNfrQYeh4wMH5IzOsr2vVP0HBNwk48xUA0P/PTrJSIY7P/BGdWQS6 UOtV5kWbXn+Kw1GcPK+jaxmvNYymzAIAP/j7YR59IY7/FDkA8AHczhXNHXOZ6igPvqGVd92+DRLq JBYAsImai0mVBQDMr1z4VR7KtABAw8HuIXQ+vXLZ9TY3Sk/xkkzmQvtZytZ5fZxnBZCV6OnJZSCK rWml+Rp9O2VVYcd6x1K+gjpxufIVABANvwI+P1T2IfqWlOISSz/qdimI2/6t5tP9Y8uc8mkBgB8a Zho2+i8vrbatr/RFDgDoI71r/kBzIf/6+G8Rj8HMsGp2Qh3LAgA2UXMxqbIAgPmVC7/KQ5kWAGg4 uLmIjkeD4iLKXzA6tK9M4bzexR6UMTl6X/nZFOrSCld6tSLLwIcryq9PyKPPAICWqutDda20W9K0 4qc/KKv8hop9C5LyFDW/PoKWt6X/QdtaACBgYooplmP3fRC1XX2mK3IAQMHkbf9Hc6H2dP99Hrhu 67NrWQlVaAEAm6i5mFRZAMD8yoVf5aFMCwA07MTuofOZsrYDKsBvfTDnbhDaV6ZwflfKyMMKiXWx 478p1KcVvvTtgzGgLDKQiiQd0PkMAIj3mcAToJV2S5JWK2q2AGUUPWV7GiThp5W8L6Irz8ufLQDQ 3cuP9+gbrfhRkQMAWm2lZfRFlB9htOtXDLX8f9lackKdwwIANlFzMamyAID5lQu/ykOZFgBoOOid ROeT9RPu2v4vym99IM/1E5t30DFvFGM8pBmAjnOAJqCh44OUz99OeSNAGUQDurdAEv58BwDE+y/A xwntbqXOmrguBMokWuWk1RS+nv5/jq71ck6gBQC6N5ACRI+AVq4VH2mLHAAQP5d3p7kwvw7GUgVE XbbxHfXYCFVoAQCbqLmYVFkAwPzKhV/loUwLADTsxL6mAxpZrxPK8TEtqR0LQvvJFM4fThnSlReZ BkOuAa7rXVv+fegsw4RwB+rxVUL+sggAaCnqHxPaXdumzX7fiz6tPiiLbEpFdK9rVu80zstH9DQ5 7x9UtAAAjVQjK/Jb762n4QdplVH0AMA98Kl7WJFkBozVu/lptWGjctauR0qjxJ3HLQBgEzUXkyoL AJhfufCrPJRpAYCGHZki3CvX64RyfGw+bJsEQvvJhOffJb9WGeRNFKx5HLise72y9TqAeC+ynIXx 9erWyrEsAgDiXO/lX5eC/VHrqqW7R4A8BcAwJ5asRC6t5ola96Tp9OGwrv/pHctiP5ksAFCf54M4 LP9P6gdp5S96AED91az1qc7t0Y2wzPVqoZvRMaQeA6GOYwEAm6i5mFRZAMD8yoVf5aFMCwA0HMyo k9u8XieU02N6qnY+CO0jE57X4O9MkFfRUvZXgUsO6pX9KDo1mSqiaCKr1xnq1auVY1kFAMT5PMDn EmXdG7aU4gLL3NjuM2D2APq0lLwIYgGA+q2k9rsVtHJfcJm26AGAV+BSfVZRZA4MvR+4bFOtRFu9 ESGhii0AYBM1F5MqCwCYX7nwqzyUaQGAhp2ZJrt6160o8jsMdb2UdwI68v7xu7Ww8UMQOlZwcF7c /Br0AkWS2TBWA+mkfGUZABDfq4A3QdJ6RM2vj2CtD4ooGsj7nMi9jL4lC0SUBQAaN5YmZ5+CqNeJ y3RFDwC8B4+/akx1rs4oUKxvhbhsT5X9T9Dw20uhyi0AYBM1F5MqCwCYX7nwqzyUaQGA0A7tUjqj IsgGGOl60qsJ3hZFIAMb9S/NPgCh4wUH5xWAOR/MAIoiy2HoJyApV1kHAMS3gj9vp1CXqFzoneit QJFkJMa6fopXzd+r6FumSARhqwUAGjeY3lk/CShAXt3OWewXPQCg1wx3BkWQIzHSdRtPRMfSYWSE GmABAJuouZhUWQDA/MqFX+WhTAsAhHZqGijnXVbDQB9PPs9Dz4C8k1GxT0/hNwNZPal6CN1rgP4g 76JgSei4KuL5PAQAxLWCYZ9HtDmNegcrAYqw8mM0vFzvkRvdl7QqpmhiAYDwFpuB0z5fuWl0nT6F HQpoZSF6paWRXa0cPyYL41vQqSf/BwPXqwu19L9pMDWUWAsA2ETNxaTKAgDmVy78Kg9lWgAgtBPX 06u8fqRHT2J+C3xM/jWhHQ6KJnot4l0QOm5wdF4DplPA/CCvIh/S4C4NfvISABDXeqr2ZUr1isKN Ag5/AnkO+Gilh75VEaU+aaTRxwU3BEUUCwA0bzVx5PMaq+eTZQgAXAuPfZrTnUmKadF6CNC9vR7/ aR47K0oNQxVaAMAmai4mVRYAML9y4Vd5KNMCAKEdmz72dSFo+E5alE7LQRpNxg8CPv4t08foWdVB HXwVqSfcrl+PCBuXPI/+bUAeAyj6IvvVIMz+qOfyFACgSlPsCb5IqW5RONC94nCgp6N5E32rYAKI Uo800ryBLn0tvKiyOobHvWccUNRKt2i3Jq2ngjT8JW4ZZQgA6PWrjVvk3kfyxVFyOYjbNq3kexA9 s0SpVGihFgCwiZqLSZUFAMyvXPhVHsq0AEDTDk7vOh4FporSQTlOMyXlbwueAaF9YUrnNfnfFBRd 1qQCrwAfnDXS8Rz6TwB5WhGwCfak8f6/6py3AAAmdQ6s9aGtRm3i4vj96At9j1WGeZKZ0HMi0PJa F3WtV+ZEdK0Iiiz7Ybzez65Xv2bHLiGfVta0g8xMJW8HzThxdb4MAQBxo352Q5AHGYYRp4G3gat2 qy73afTMDSJJdcYe+xYAsImai0mVBQDMr1z4VR7KtABApE5uMr2TBtKKik8H+gFfIl3qlLcC48F/ QY++z8ExTRq2A2UZzC5CXfQqgw/uwnTolYSLwGpASyyzWP7ZC72/Ax+BMFtbOZfHAADVm+JnYFKK 9YzCidr4ADA9yEIGonQ98BhQADOKzWmk0Xvhy4Oiiq4LPY39FMTlQ/dn3TfbRbRawsdKtHrtUZYA gOqme4ZWimkyPBT47Hd1v5gXHAVeAvW4dnHsBXS1tLow1AgLANhEzcWkygIA5lcu/CoPZVoAoOXO Tku6TwIaYC8BZgfqQNOUIRSmgcBPwXHgDRDa96V8Xkun9wAaEJdJhlOZK4FPLsN0PYEth4OVwZxg AHAt8i0NNPXUKcy2Vs/lNQAgPhVseTzl+kbhRxPiTYCexPsQrVJaDlwF1B5RbEwrzW3oGw2KLFtg fBorYr6kHAXY2kXOpqJp+VEr5ZQpABDU+2u4HAcUQPwJWBhoebw+xpemzEBhC4HfAN0vPgeBDT62 E9C3BmhJQg2zAIBN1FxMqiwAYH7lwq/yUKYFABJ1eh/Se90HNADaFWwENGlfEmgwrE5WEy59HKw2 oq/fg4A693mBnpytD/4ILgBZTFjUv2ogoLqkPeCgyFzINFhxJvC5LDp03IIt34Lx4FSgybkGRvMB 2ZpUZqSAxcC6YBdwPvgUNLOp1fN5DgBQ3SkWBZqktlqvNNJfh15NCGcHLkT3mZ8B+fUHIA2bo5ah FQbnAa1SKqIMxWgF37YCaUz+A970RHcDMAqoDyizqK97DgR197V9Cp0jMyL2AU/1nYSeG8EJYFug McIqQCvaVPdpgcYR9fprHZN/jwALgtXAb8GB4O/gNeCrrar1PIPeNUHLUl1Ij30LANhEzcWkygIA 5lcu/CoPZVoAIPUOUBPLd8DL4EnwMNBg4V4wroK7K7//w1bvwE0EaS7H7tE3Un6UY6+T7leg7NKb Cq4FxH0UXnyn0RPEV8FjYBz4KzgGKDCzOfglUKBphQpWZqsB1a/BjuAooDz/BvLBt8H3wGU98h4A oPqdE7G92GYV/HkR3Rp4qw2HgyQyPZnXA2eAJ8Bk4LJ965WtSe4OoN7kg8O5kamxZCGwDtgeHAeu AneBR4Du1QrC1atjkmPyM7W5+oBxQDpPBH8Cus8uCWYGZRDdT/X0OglfreZthwBAPU4+hec3wQtA fYTGEfcDjSvGVXAP2/uA/Pt5MAl8DuqV5/OYbJwTxJJQQy0AYBM1F5MqCwCYX7nwqzyUaQGAzDvE 0D6NXtLXeQ0klonVKxc30xyYfiHIYvIUp11lpyYVnwENAj+q4OPKbw3wNAh3PdmvZ3sRAgBQ07kS Z322z4J69fBxTG2oIKEG7aeCLcBKYC4wC9CqjQD6PRpohdDvwRFAE1dNALIa0KutNZBfCvQCeRQ9 6bwOKDgirt4Hum7+C3y0cZgOXaOy5UOg4JyCBGrTY0FRAwJ9sP14EFbvtM+1awAgbR59lKe+61KQ KPAZauhcA/p1vLjAiI7nDcZBij7w8oIjOs4bNWPHVL17hfofzn00iCN6eqOOoGH5v59+SMfTY8y3 7dpO1wcmLTSyY5sZhzb0uyqf1BPHooie8ESpk6X5YUJ5BnwNK0rjpmynBq56IqenKeYP8TkoSgAg cJ+R7FwENBHLU7trcqgn65q0aqtgQZ7sU7BJ45xpQJ7ldIzLE29RbNFKhPnzTGoT23RNPQCi1DWN NBYA8Md1kvZ6DZ/YGaivTSShRszcr0/HScOn7zjBYByk6AMnj5i+Y1smSf17ZRcAWGnIlB3Hplgn u0bsPiEfOH3EDB2rD50q9L7KHVvnLQBQjM42SlsGaV6hXTX57Q3aXRaDAD2h0PL7gB/bRueiaAEA +bsGpFsATSSsrZtz8CA8bQyKIKdhZNHaVCsBihwAkF/8AnwBfHBvAQA/PCdpSwWEVgKpSFNDWI/U YTAOXPgAHtzM/xQZjyNNVwC4qI+VadeJfACHjQILAETjKQqXWacJnuKNjnOzKnEeBUJWAbeCrNuo aPq/h7O9QBFFy1L3AXriXjTefdirQOG2YAZQFLEAQDYtpe9BnAt8+KUFAPzwHKcttaJOH9ZM9Z4R xxDLk18nKVvbOAsAeLqhlq09rD7pXftFCgCcYNdL3QGYnszcABYFGqiZ1GdgKIfXB3rimYd3hotw H9PSdS3zLKoo+DMP0MRRAbIicO7aRr2jfg6YHRRNLACQXYspoPYscO2fWQYA9OE91/UrYvkfwMvh YFaQuhSRELO5fS4UCwC0T1u323VdpACAlqneD94G7dZO9eqrD2DpqfYGgEUfJhEZmJJ0W4J7wSeg Hrftfux1eJFv7Q1GgTLIilTicqD38Nuxfd+h3peBH4GiigUAsm059TWTgcvrJ8sAwBHU7XFg/cIP bTwBLi4CywBn4tKZrGy3F2s78GsBAPOhsvp5kQIA6oAGg3XAMeAuoMh0WdumUb20pPlqoKfZet/Z JB4DWhHwe/A3oMlRI77b5fgEONBKkoPBKqCsonveeWASaIe2fY96Xgl+DoouFgDItgX7of5C4PK6 yTIAIHZHgE3A+eAR0I6rxV6g3ieCZYFzsWiL2wvK5cXaDmXvH/MKWIF8epLSDhxZHYvZzvLRooom cAuB9YA6Kx/LE7Py82+p3+1gB7AAsCf+kJCSiEtxuh24Bbh+wpWVD9Xq1cD2bnAQ0KR4LtAftIvM S0W1EkQc6FsHtfwU/feT1GlPsCDQqxBlEAsAZN+KozDhPuDq+sg6AFDN8Mz8WApsDrR66C3gqt5Z l6uHKReDX4PZgTe5Bk1ZV970Wxs08oEfx7wSpiXff8y37drOqQ+8jF2jQRlETyamB4uDncClQPXT +65FjOBrEirbtRxxLFgMKOBh4paBIRQ/BuwNxoP3QRH9p7Yv039BeA88Bs4AWvmga39qUJbJIVWJ JeJAy+I1uXwFfA5q+SvC72+wW218PdgITAfKJmdRoSK0RbWNr2Gz7illknWojPytup5p7evp86gc kjUQmxQQWBXsDxSQfxPoAXYRg8ZBn6B6KPitlQ9TAe+iCIstwXNzMaV1UbZrOdfim0kuiq3Irw8p tSt/Vu/8tv2u+GUfUFZRUGBRsDU4HfwLPAHeAF+BPPmmnkDq6cIjQMt11TaLgHafnEFBpjIP2uU/ fwVqGy0bz/tg7wts1KTjYXAjOA5oSevswCScAQWA1gUKkqi93wV5uk/U2vId9ilocQfYA5QloEtV 6sruHL2/YLgKe2cHZRL1SycDF22he60m2kUQBeUVENgNXAbuBc8C3Td0bdZer1n+1phnIlCbnQs2 BrODXIjeZxRxWRJkuo3/wAcU3dSNW8sik4gmWAcCDciCsm1rXGTpA3qqeQaYFrSbjKLCPwaKeGti dAm4GfwH6BpVNN912+je8hYYD64DZ4K9wdpgFmCSTwbUNmuAPwI9Lb4JPA70FCiLoICeVL8K5Lt6 deFCcBRQwGIVMCMwic/ATGT9JTgEaCygJfU+7g/N7j8fY4eCO7p3adK/NOgN2kH6UUk9kCkKBmKr PjpaxvZRndJuB/E1APQCRZT+GD0G6L6xJzgVXAEUoHsKqN//EjS7xpOe/wodL4O7wZXgZLA9WB6I 41zKSKzS4Oz/wCYG4yAjH/gNetWpqrNJS+amoF8A82vjIEsf0NOthUAZByRUK5ZogKbB/jxAKwZW AGuBLYAm5ppUnQ4uBVpeexdQx6qJ16NAHfszQIPye8C/wA3gb+A8oPy7AN1XVge6t8wPNEHrA0yK yYAGqsPAfEBtug7YARwJzgbXAPnJs+AN8D7QpP2/oHaA9wXHBKV5Hcif7gM3AQ0gtfR5LNgG6Bpe GSwB1K/Id+XDJm4ZmI3idX/QvWF3cDFQG70Latszrd9fUfbT4Gqge9HaYBGgNjcxBoyBYjAwCDOH A/X7um+vBH4FtgMHgGPBX4Du9Qrm/hvo3qJVSBpjqD/Q6sX/AJ27DWgsovTqGw4B24Kgb1iS/TnB NMDEGDAGjAFjwBgwBlpkQE8i+gJN9hQ5HwymrmBatsJ0YPrKvs5pWeAQoE5fEzPlN2kfBgJ/UfvL H+QbCvbMDLSKQEEDTSYDzFo5rnNKo7TKo8Gb/Eh+J//rDUzyw8BUmKI20mRcQaB1wPbgGHAJ0EB+ PHgJvAs+BgryKDjwHfgUfAReBY+CW8FF4FCwBVgOyEd0f5EvFfWpKKabGAPGQAMGdF/Xw0aNFXSv 1z1f/YbuLcEYQ/2B7gP6rXMaY2gsovTqG/qAQsr/A2PHYPx41BHdAAAAAElFTkSuQmCC --000000000000a047180631a86393-- --===============7489912840982807587== Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ Scons-users mailing list [email protected] https://pairlist4.pair.net/mailman/listinfo/scons-users --===============7489912840982807587==--