From weese@campus.fu-berlin.de Wed Sep 01 17:36:04 2010 Received: from outpost1.zedat.fu-berlin.de ([130.133.4.66]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OqpM3-0005fz-DS>; Wed, 01 Sep 2010 17:36:03 +0200 Received: from relay2.zedat.fu-berlin.de ([130.133.4.80]) by outpost1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OqpM3-0004CK-BL>; Wed, 01 Sep 2010 17:36:03 +0200 Received: from exchange6.fu-berlin.de ([160.45.9.133]) by relay2.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OqpM3-0002Xj-14>; Wed, 01 Sep 2010 17:36:03 +0200 Received: from exchange6.fu-berlin.de ([160.45.9.133]) by exchange6.fu-berlin.de ([160.45.9.133]) with mapi; Wed, 1 Sep 2010 17:35:11 +0200 From: "Weese, David" To: SeqAn Development Date: Wed, 1 Sep 2010 17:36:02 +0200 Thread-Topic: [Seqan-dev] Suffix tree incorrect behaviour bug in seqan 1.2 Thread-Index: ActJ60PiuOCHRMyQQSSsfZkb1bRSOg== Message-ID: References: <4C7CF465.3070501@mail.cryst.bbk.ac.uk> In-Reply-To: <4C7CF465.3070501@mail.cryst.bbk.ac.uk> Accept-Language: de-DE Content-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: acceptlanguage: de-DE Content-Type: multipart/alternative; boundary="_000_E48388439643491B94123A2A6C1B3AF1fuberlinde_" MIME-Version: 1.0 X-Originating-IP: 160.45.9.133 X-ZEDAT-Hint: A X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283355363-00000C0F-36143139/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000000, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Gabun.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-2.8 required=5.0 tests=ALL_TRUSTED,HTML_MESSAGE Subject: Re: [Seqan-dev] Suffix tree incorrect behaviour bug in seqan 1.2 X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Wed, 01 Sep 2010 15:36:04 -0000 --_000_E48388439643491B94123A2A6C1B3AF1fuberlinde_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Hi John, I closed #292. Please find the details in the ticket system. Regards, David -- David Weese weese@inf.fu-berlin.de Freie Universit=E4t Berlin http://www.inf.fu-berlin.de/ Institut f=FCr Informatik Phone: +49 30 838 75246 Takustra=DFe 9 Algorithmic Bioinformatics 14195 Berlin Room 021 Am 31.08.2010 um 14:24 schrieb John Reid: Hi, Ticket 292 describes a case where a suffix tree in release 1.2 of seqan doe= s not behave as expected. Does anyone know if this has been fixed in a late= r version of seqan in svn? A bug (# 93) with similar symptoms was fixed in = revision 4875. Was revision 4875 made before or after release 1.2? http://trac.mi.fu-berlin.de/seqan/ticket/292 http://trac.mi.fu-berlin.de/seqan/ticket/93 Thanks, John. --_000_E48388439643491B94123A2A6C1B3AF1fuberlinde_ Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Hi John,

I closed #292. Please find the details in the ticket system.

Regards,

David

--
David Weese weese@inf.fu-berlin.de

Freie Univer= sit=E4t Berlin = http://www.inf.fu-berlin.d= e/

Institut f=FCr Informatik Phone: +49 30 = 838 75246

Takustra=DFe 9 Algorithmic Bioinfor= matics

14195 Berlin Room 021

Am 31.08.2010 um 14:24 schrieb John Reid:

Hi,

Ticket 292 describes a case where a suffix tree in release 1.2 of seqan does not behave as expected. Does anyone know if this has been fixed in a later version of seqan in svn? A bug (# 93) with similar symptoms was fixed in revision 4875. Was revision 4875 made before or after release 1.2?

http://trac.mi.fu-= berlin.de/seqan/ticket/292
http://trac.mi.fu-berlin.de/seqan/ticket/93

Thanks,
John.

<ATT00001..txt>

= --_000_E48388439643491B94123A2A6C1B3AF1fuberlinde_-- From eissler@in.tum.de Thu Sep 02 13:47:57 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Or8Gq-0002vA-IW>; Thu, 02 Sep 2010 13:47:56 +0200 Received: from mail-out1.informatik.tu-muenchen.de ([131.159.0.8]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Or8Gq-0004x5-Ff>; Thu, 02 Sep 2010 13:47:56 +0200 Received: from [131.159.35.8] (unknown [131.159.35.8]) (using TLSv1 with cipher AES256-SHA (256/256 bits)) (No client certificate requested) by mail.in.tum.de (Postfix) with ESMTP id CFE97ECD7 for ; Thu, 2 Sep 2010 13:47:55 +0200 (CEST) Message-ID: <4C7F8EEA.6040203@in.tum.de> Date: Thu, 02 Sep 2010 13:47:54 +0200 From: =?ISO-8859-15?Q?Tilo_Ei=DFler?= User-Agent: Mozilla/5.0 (X11; U; Linux x86_64; de-DE; rv:1.9.1.11) Gecko/20100713 Lightning/1.0b1 Thunderbird/3.0.6 MIME-Version: 1.0 To: Seqan developer list Content-Type: text/plain; charset=ISO-8859-15 Content-Transfer-Encoding: 7bit X-Originating-IP: 131.159.0.8 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283428076-00000C0F-8BBFA008/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.016903, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Algerien.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=0.8 required=5.0 tests=RATWARE_GECKO_BUILD Subject: [Seqan-dev] StringSet container swap X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 02 Sep 2010 11:47:57 -0000 Hello, I've got a question about the StringSet container. Is there a way to swap the contents of two StringSets similar to using the swap method for STL-containers? I'm using the latest svn-version of seqan but was not able to figure this out so far. Thanks for your help and best regards, Tilo From Knut.Reinert@fu-berlin.de Thu Sep 02 13:59:16 2010 Received: from outpost1.zedat.fu-berlin.de ([130.133.4.66]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Or8Rn-0003MH-7O>; Thu, 02 Sep 2010 13:59:15 +0200 Received: from relay2.zedat.fu-berlin.de ([130.133.4.80]) by outpost1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Or8Rn-0007yP-2j>; Thu, 02 Sep 2010 13:59:15 +0200 Received: from exchange6.fu-berlin.de ([160.45.9.133]) by relay2.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Or8Rm-0007tP-Mc>; Thu, 02 Sep 2010 13:59:15 +0200 Received: from exchange6.fu-berlin.de ([160.45.9.133]) by exchange6.fu-berlin.de ([160.45.9.133]) with mapi; Thu, 2 Sep 2010 13:58:21 +0200 From: "Reinert, Knut" To: "seqan-dev@lists.fu-berlin.de" Date: Thu, 2 Sep 2010 13:59:12 +0200 Thread-Topic: Invitation to the SeqAn retreat Thread-Index: ActKliM81OigD2L6RYe8kVtwehR9eQ== Message-ID: <4CEC30C1-DFB4-4215-968A-775CD9F15EFB@fu-berlin.de> Accept-Language: en-US, de-DE Content-Language: en-US X-MS-Has-Attach: yes X-MS-TNEF-Correlator: acceptlanguage: en-US, de-DE Content-Type: multipart/signed; boundary="Apple-Mail-56-178874630"; protocol="application/pkcs7-signature"; micalg=sha1 MIME-Version: 1.0 X-Originating-IP: 160.45.9.133 X-ZEDAT-Hint: A X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283428755-00000C0F-1481A25D/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000000, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Benin.ZEDAT.-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-1.4 required=5.0 tests=ALL_TRUSTED,HTML_90_100, HTML_MESSAGE,HTML_SHORT_LENGTH,TO_ADDRESS_EQ_REAL Cc: "Kasseckert, Anja" Subject: [Seqan-dev] Invitation to the SeqAn retreat X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 02 Sep 2010 11:59:16 -0000 --Apple-Mail-56-178874630 Content-Type: multipart/alternative; boundary=Apple-Mail-54-178874587 --Apple-Mail-54-178874587 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii Dear SeqAn developers, I would like to invite you to the 2nd SeqAn retreat in Berlin from = October 4th to October 10th (please note the new date because of ECCB). The goal is twofold. First to give interested people an introduction to = SeqAn, and second to discuss and try ideas hands-on in the field of genomic sequence analysis. For more information see the = attached document. So if you have time, come to Berlin or send a student! By now participants from Illumina and various academic institutions have = agreed to come (see attachment). Please respond to Anja Kasseckert (Anja.Kasseckert@fu-berlin.de) until = 13.09.10 whether you want to join. For more information about accommodation, how you can pay the 50 Euro = workshop fee, the exact location, etc.=20 please see the Wiki at https://www.mi.fu-berlin.de/w/ABI/SeqAnRetreat which will be soon and regularly updated. See you in October! Knut Reinert --Apple-Mail-54-178874587 Content-Type: multipart/mixed; boundary=Apple-Mail-55-178874587 --Apple-Mail-55-178874587 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=us-ascii Anja.Kasseckert@fu-berlin.de<= /a>) until 13.09.10 whether you want to = join.

For more information about accommodation, = how you can pay the 50 Euro workshop fee, the exact = location, etc.

please see the Wiki = at

https://www.mi.fu-= berlin.de/w/ABI/SeqAnRetreat

which will be = soon and regularly updated.

See = you in October!

Knut = Reinert

= --Apple-Mail-55-178874587 Content-Disposition: inline; filename=SeqanRetreat2010a.pdf Content-Type: application/pdf; x-mac-type=50444620; x-mac-creator=4341524F; x-unix-mode=0644; name="SeqanRetreat2010a.pdf" Content-Transfer-Encoding: base64 JVBERi0xLjMKJcTl8uXrp/Og0MTGCjQgMCBvYmoKPDwgL0xlbmd0aCA1IDAgUiAvRmlsdGVyIC9G bGF0ZURlY29kZSA+PgpzdHJlYW0KeAGtXMt23EaS3eMr0LMqnrZKSLzRmxlKotUa25IsUt2L7lmI 5aKptliiqCq79QvzH/NJs+1vmRuReQOJRxWL8hydowITicx4R2REAJ/SH9NPaYZ/VVelbZmnd+v0 r+kmffz0s0tXn1OXfl6N71/NDCSY9gmzZalH8iNrrW7SJxdp5we7tGyXrm27Nm1dnl7cpI+/dcsM z1xcpYvvTtKLf6RnF+mPyZ5lmmXuF5KLqlxmXdaWM0v9LV28PEkzTFq8vUhPkv9KL/5TF74XvsYt XdU50GEK3xuBLxH49i0zgK+plyCom0MV8J29eHmSKIRnWLftlm26uDhJj4e06waUTISSLlDyD0bJ fZAaQ6qsXLq6dgOEE2UIoPz2JH3kyZgGej5Z333g4HtebGLAhTplm9ZZnrqqTbs6oTy9Xt+t1rfb 3bsP6d17gaxqlJ2udPJE1WYiLo9f3Lj02UdQmSt1TVplWdple1cqO48QBEu27sqwUN4vNBTwJAg4 BPQzBKXquqzrvOgOpTjPy7RuiyDHTlYR6Zb/OxPgKb3uTtI8SxdrI9GaBHy7sbFfw6S7z4G4708S T+7tf4eRLR+7n+5U10zUNVKggEHiNdF5kj/S37zxKOTUQbD81Nj780flr0sXwKbMRUID6MliS9Zf 8+KGF4beiiOKA5Z5YrdsZcMYIuRRv9ILzLY52N3fsi3ekTq8Y3DZnkpSrIK9Z3VqxNeYKqVQBfoU U+U87Ljmjp94cWqQE03os4NSgft+TkQtI6StM0GFq+TcIOOFo3TYyDcBqskzDZ9ZhhndeODRZDE3 nmIDth9W64kJefPak2bJVOaKZZfWDv5D7f+c3sTkfR7AfHWSQNA6SOH3I9ReKXQgqjdJnrOZUPnN GewmBEQvT0H7TK8vYrO/XzdGcNJ7wZK2aVFONfx8/Uk5XuTLUqXrUV50y9pUI11A8goP3qMiy5dN urg8SdW+fwGcBbxCIlKJ56pllS42kHOQZ/EbfkTF9FaDtbfXEJKy4ljhGrm8wXS1yN5mQLbwQM+U gd7vxQ2uHhZ+4H3/lixWXPrmFnKq5ut6vfH7RPjRagE4g60EvE//+EcMFUSvaBV3syam+5d3lHns 8ignZVzhcS+qXPw2zADuJGIFFN27r0Kzbg1Ns9GXBgnXNhg58HPY1GauCDKmliVRdB54Umj9abfe rESzof5AQTjZZCLNfHrDCyzTCfO/fA5BgO3ExaBqTgkhq7SVSBiuvBW+uBZvcpjpNPe9QCMeq4wa PlCAuYf1Ug7sbi7XYp2qZeBDjlAN8vYxAChmGQIbBNvVrYj/7ZoUuzUaCv41dcN1jTwisj3k5i+G 8AbEDmQSVB0UCxDgCW/zbd72OsY5jhDz/ICgO4QhI0lPF7ESB2VsgCu5s/lJQCILiwzw9GCAQXUh Wi3QFk0hRArIJ7bCHSUI1ECcSnNQl8JH0zNso7KtItMTvgOZk8UloaFE3M9zGtuY53lTJxP8b7j2 L9BzZT9A6Llb5k4Y2OMMTHPFIYH9UkADR9VLe/2UOTBj22tj3bUtEAtH4wUMK3VKxi1EyDlKXQGB Eds3B6AXCCV7WwtN/SRl4GFlmCVMV4wFAybQIKVgG/WhHL1au06CbfK9pwKf+gXe1Ynmq0g3qjdE SUKnqrObCMS8qQf5SAVX1SIoE7HargmOLJJXtgjMuQRparMNhTV35EOQoPmj0EENKuCdJhL0LpgF URXlPxDVX2HnYMCEgDPXm62NXX3xzyWLP91n0KY8RKCQZVmZFnlv5VOXyFHyf2YPQAfQhARysRAT 41xqLuNqp65KxXstnkgxBHnFcd/2ts/wMn9BVHtHZg6Vy3hP18uQrT+jSCsYwQezsMcNbnrAyQQO gEJiYgPTJWiRj3eG1Pb6xq5XhD4Ys2Rxc8snNuAwRQ7THqqaPbg1mDkMUjS6UuJfc7edAU4BI2iX dua63Nk5w2ZvB8HscXGTSVzTjSD7PRLXtKPFwBUj5jZWlwmviCpv3J0kagP4d8QGpRqJdnUMXxIk bhDB+wMvAmJTEaSJJnwxyfDBYymmCbuJJP0agLoBKgSYgJiwrzfXBBoxlEyFhUM2xsdRJkNH+n2D tZykcUDcudhSyYOQmwCuROXVNdKu9sBPHTi0UheYOu3gFr9C2HAAKfOxnAH6FxvCSIJB8IXOlH9j BY0PlTlZ2KMTM20hgT29gehxB7BkKDEwjV4u0gNGNUOsPCMqtqgHWP23Um+CAMV3teMVf3soGWl5 ogBFhDJOHa7ZT9KLltYc41aYrArDdTn1t5NEIlac4Yd49+nNw3jXcdQpLgmMM3gMeDNGdsH9qR9X BnPQlD7GJLV+NXqu1hzjMtudMbq345z/gSmAMfLck0DI1qaBw9RSH3mPrAV43/QJMjtuzJ4YCG0g ULIw4847BJns4rgcnr3mcgRnbGVosDSJj/Vx914EJE8dmTsg0NWRnQtMXP/zVs5JPtYdE+5yZwbO mE3Qe/MBlnhrQZhN9/pwnLdM8M0wEWOa8ElC+qBgVjhm77PdyCWMEaJyrTfrXn7M91PaLCo1wf6Z 4SHxMCrwGd4wyeeM+OikVP7mJEGu28fSD2diVcTRK5l49a+VwRp5pTnD7uVrxrAnCh0Mu0GnkgjE HCJz+K2/al4fgBvvRHhW9yds5s7ulWYl43oJLEqePYIo6rZAM6jCQMVCPtkggFh6u0YxuhuexImC /hqJgttIrKrynNueY9eHMsU1BfzVNOahaFAS7BBIzHjD3BKEB2mURNIonk0GMQe+GbPnnk0Qx9oa faJechRKkclyRsZ76TBlqtCBGXirgoGrXBPRiIVHxCfkmBhv0B5OtGg7dQVc9tYQXPlVk8VEiF/Q ukyqZgesi+BTllO+BpPM/XdkZ39uMsbyVvBafWgwtYOaw+F8LkAyjce/5tQEbFAWmxhLpA+DUhEh o+dm4jjNsvehWG94PNBRUMYFjev2+NQx2Kbmcb74MJuL7I7y2iOnJyxEJkzLH7FITlm1neJKog/v JAtDh1wyaYVaHXfUDCYmGVRe7xHFuVMKtX+N8E5jRCazDSSS71aOIBN1nxflRHL+ah8scNl/KuVU YyBtixnZ3S0o+VVGdXzYkfP9kBtIE5FN2z4/R5h4i2Zlywume77m0OzNXB9KWVbFp7GVbuZ4TYUk yNJAzh89dBZRWQd3lvQpyjEGFWpWSsKoLA5i/Jvnk91h68HZ2zfLkyR0H+yLcFVX5NTjC8CCV5GF 1FNczPoORaxCAgDJ6yrgX8Ttak0A4oUhn63zyXyIpJ+kKODOMBN21EFLQcnrZZaj42JosaLExLFn 5zZHSm3m3Ha+uw1pCeg0oBb2mPUhb6g/x1ofsaXI4gHsVRx950UDbOquh8QovHj5/DxNf3q3fQdx PcSyGY8rqJFEtiDkApYJRRuthnhmjEwVQwywx/QW/HqokuYIDKusAlZlPvWT1D7K8k6yfd6uEBze 4rgqSbKwAy3tG+4/FDYntKlmUlHihMRK3/aBw/54yA6jOC4EN0nY+wOQjfAC1pflsNk4LllMLPGb l4E0pwiBvwrXppqyAEEFSUtSm9Brht0L/QQa2kc+xN/1zaXhdszCHpWHHOlU9VFJmVf9o0waUzlS 84YMdMGExPpx+hO5KQweqoq1XJi5M5OmKENnJJenhnDnL6KOiKlBNAWLpMMs5GFOTzU+b9FwljdV j1Yc1pAlM8bruCz7rO0SKpZZSH6AiubwLt9/fL+5+nh38277fvXeCPkZYBzGa6b20SrL0VCXzaQI Sbm4OnPMDkmU/1As8uC2Y1ng4hBsz5bZPqGg/Mb5aZ8QhcPEZmMLmgiEIVg43rMLMX2tVMmga8fg NvAuUBjXuhoJ1nF1VM5Ch5zKlBWigSWaAkQDRxYlcr4Hg4qhBpal5Gi0oS/EJ/BQz4wmtC0HkqJ0 whZSkmeXvNMnqnzO+ygKQtpzOIiho27AhBb1Rw81EhSxrFxB4VGdEwMgP+EvsK6BVUAQLoPHSv9+ XaslxRM3bKHELtlriVYfxstcRKqQzHs9k6CgucCvNBmhLSBqljt4lAnaIJmzoyg91sNmpihpMfN8 5W3io9A9pxnt/miCQykBo1xoQPF1WW81GN3M+Z8Ce5QnZQTjJRaOgqJL4nO17d1uNc3fg+OHCTx1 Ea5Fq0dXlWjU6KlsCevXowgMBPIxgNGOAJo9nHj8q50Z4klaxveGIb4kflENaiAtcvStYLLqMoVV 7qxJ+zmatH/+LM3aaFJFs7Z0YT9+jtY8GXyOQfz655auRIvrTVqh0aCuIFJoR9GhDxhC71mLjggO VTlqnRW4iYEyq2rMQLcGFAPtH1lVdOkKI7jV1ICoWjaZ63SgK2VOvWxKHL9lRlcixYVuoaKpy8Q/ hCGXojHK5YWsi3aqDB5TOq9bcEA3atE4jIEW3UC6E5xdjW68Bk13ZV5gDoxM3nYJBuqqkJ2yZdOh 2OQH/EODoSoFliAfnwh/ZdgDp4wPiayQId8DuPyIrlk3NRIiMoQGYyFS1mE2BmppPJeBogDMgkyH uEnwc8uqKZK6AzyFQOqWtVTBMJC7SiCVAUibdFAJTv4ZP6dZNuivCYtgvRrdU8APwGGjEtAJZau2 DQ85hx0wVFQ4PylXO+yAAVcgE6AYNX6GK9AWjZ2Q+3Vlmyc6B0NCBT8kADrA6eky/MPE5EpbsoM0 ZeC0tKCAYUXaLpu2RBe1dWiPxVKakidiicfrHAhT6kQ2sVIDkoahBPDYEPQUBMMIesTqrsak6Yhh YU+FERAxLB2xmAvNDQXREgACmEF2FKYR5B/SK4CFhsi6hIw58DFTVStQICvQdoGhDJ0+Ff4GI6Ez qGhUdZX4AS8O2KcSJtmcetl1KKLJQIeagihai1BW98lRnMLfMiyPQAVLEbsSilZB7PT4rGTENSSt yoSkOhWS2QoEiFgytLZVJcS7BGxCcclnVCUK/WCqqr6uHga8GnsGQJob+HBV7OEIshBtWyuXROTV GmQ1lF/41gIjiCykBi318mcT8OoEJIW0ERGWCSCKYAadEGvgn5E5Yq1LQFcv8xrmoUJHLXQPCKFn qgs4yiU6g0R/cmwoc6oaeoOBRq2ZH4CGwTI5rCY7yZxGWQPL5HQAgQ2QBMXwpoLsXIixEW1vszpA 11YAGEN1Bu0RDMBWGKZgRmAqYT9hKziAjUBwZDZg4DgHA13ZeruSw0QLB0r0+8oMtNHmAp0NwQR2 rRP64rG6QKFZxLIVs4GBTDiIgVYsAhnv//YAqyw4MZyY4tmETEuDpAiHVJhgvfG3N7ZjsV5B1sUb SSIsvDJkah9eGbqvHxwHh5mkDwIvYCRWs2xGkTQi4BS+HWHXKGAEDdL34v3Yiw6Oo30OEpiB8DjM ulo8or13VIH4JTiiL59U6DWGvKkzvRq/76RvqIRsX/98nUFYtKcdKEDXJRouw6xS8iRwT5qBi8Pg p69eImyQBNNF+D3TXy2ocbyPW4gNDuRYefg2hyECQHgWiXKSUrX2pIv3R7lOj9+vtIMYFcmj2+uT /e31UaDF9np9UyxqpYqBZeA1AFYj91FR81uQRqG1E49FTz5G6nvpdtMMvdXdr9dx/czWsoRlGOlz 94Noaw8SsxTH+Y85VzvqT+uswEoTpof7YxkFXqHo7duvPecsaz9fgcAJixE8V2CcfLsG+Yb9BoxY vxrjdnxqhnracWTXF4us7EzgpKyovO3D/ARWCycpK+FyhnHMepbmX4HifKbgjMHcczMLRa9te1g9 K6+IAslqOyFAuby8rpHYCehtfPEiINWXMY1LUuJRQuz6KjNrUdHrYGHlvnqIVgvPy8FB53cZDKTH phbj9AlsBdDCMf0t8RPbpSMKO+6cBxzOftRcDBqZT/lSI6b0FD7GPMxqlitm8tE/hF3J3+jIqhR9 trYzo8lQOJsNlF0nk2F7EyM6y2RbswqCWzLzQmls7ebRmb51I6UHz9CRkYsKDbqpoUK0J33E/kay MB3TCjnkxPpT2JeCt3oG/HmIBjhEWBMVoDYbkBxQSUElTA+1Hk99t4jtoUrdf1DAfG+MjtF6GSvt 3B3yGr1O9RafzDQTwIGxiAAc7Fn6tzjmM733MzPKyQRbkCx608etJ2yayTV7SxAd/K92ktnwrbz/ PtIkjXPc10QGeRaSM3Fo8BfRJujyGSIUpbyp+5kyD7eg1P7Ws/Drb6C1Lvz9lAz8cxg440xb7Hve GWHjXzAfvTl+L+0R4U2F8EKad72MWQhBxptgmi94e7/dRfLpyNdwKea2DcUXN8QMTgo692OYz3ga avi8R1PuHXJG/4u0qwYVPXSeXOtgHiObsxVC9RZ8j4WYtXLTNDiig4e7OS9yqMqb+VIEIUje29IO 9q9aTHJrxg7Lgz+jWl4byuubbyITeSTKCQJ9+ScvgkvMjyPgxChG+mxtITcmfwQf1tozgW6NEP4T dU2PKVOQBjKnbFa/UPL8EHqJIst7JC6CQIyLvjM5qj6c9aSk8Gz7d9s3sZNRLv3Z2jeI3r64lbgY clyfBCKG//r/D2PzduYFExJwfxSB9DgnETgAi45GvOnge1bUWamq/WqEg8fZ05ZOTM1xq+R4qaAB izpxvGKIjzuSwWNhnWuMmnpltiXZ27o3sS6GUEJtbgDocKt5kGVyN27qVYkhJb3WHInZSHSR+5im DSBgEPDj3tLqey/htj0DYuOggEZqbWEhxUGiCjnkjfRBY5Uepd8VrRdFaFuInfgPr9RWwFe/OVNC 4grfF/GM8c4QIzap7zBCQx1SDHgT+Zg0wyDNgZzz0ORJr5mFYvEF3nVElQ8k8daMErD+RNUX8+Hv eTpqtbcnFzI8XYMscZ3+5vM8T88N6POncV117FWhkkWFVJpk+G9SvLKJK+TFbOxDeo5E1pGnE32/ YWApy+j7ACEC1I/YqJhsWG2zYPQNDaa8o6IWApKCwmiP6UO8bInk7qRIfGw5MpDbGvnxYY5QCKQt MrNlDXm80x9y+1OpNBIbGnGb2Zgj8orFkIYHM0CMgQ0ac59HhG8g7ih8SxbzKYQI+EPiNAUeGfeJ 28cpWXLa9l7lL9a6vDVTSh3gb0ArWXQTc4Nv48BeB1X+avBnkxnyTZ0J+E/J540dvVZbGAxGYd4q AiBWwDd2fKM+E9rvAtQcJ7b8Xa/wmnR4/dz0AQ+bJD2IGZUbl54Xf1/M1v/vEUq0bhbSRzldEBbu dIquWa/D+MKqAV++bm/4/kcg0tXO4j18iMGiIZP82Eh6HsDZ9JRCsrtrkY/uvJF0qRrJe8xjwDQB pihAIJl9k6JQiDIo5NfGvJE8bJosmz8INaKlRnK2+PsJ+DzTmhGzZl5m516Y2HukpqSZeWNQ0x/+ rJWRUqvd12rCKbdxTI0bUdfxUcbRFAqCEjMMdYsEvgdVLnyBCk4Ymu4alHGQDg1Xcd2iQZcCivVo WUIOElU1fFNrWLHAN3jmKxZthjKhPOnLFvblL7wJNu4Xl7cU7btkf3khpsx/TOfUri5evKK3fhlE F5SjMeDQM1LzdQij3uCrGZpnsKftpPrmFEefR6hvNZ48w47tP+BegcKyvOej1Iu+GAdoEdyU+vkd qWj4IMIuCEOeOXaD68fbULtKHp+evv7+T+fbLx/W6ePXH1z65NlTLWpFN576JqL0yQ/h1vj7ZQVK lOLNHAq8OciJQq8ILT5gVvTfHTsLT+f4nAu6JaT3F50UOap7eFyqYE6eRwkOC/BDad/qF9D0bQd9 /P8AXz0xgwplbmRzdHJlYW0KZW5kb2JqCjUgMCBvYmoKNTgwMAplbmRvYmoKMiAwIG9iago8PCAv VHlwZSAvUGFnZSAvUGFyZW50IDMgMCBSIC9SZXNvdXJjZXMgNiAwIFIgL0NvbnRlbnRzIDQgMCBS IC9NZWRpYUJveCBbMCAwIDU5NSA4NDJdCi9Bbm5vdHMgMjMgMCBSID4+CmVuZG9iago2IDAgb2Jq Cjw8IC9Qcm9jU2V0IFsgL1BERiAvVGV4dCAvSW1hZ2VCIC9JbWFnZUMgL0ltYWdlSSBdIC9Db2xv clNwYWNlIDw8IC9DczIgMTQgMCBSCi9DczQgMTcgMCBSIC9DczMgMTYgMCBSIC9DczEgNyAwIFIg Pj4gL0V4dEdTdGF0ZSA8PCAvR3MxIDI4IDAgUiAvR3MyIDI5IDAgUgovR3MzIDMwIDAgUiA+PiAv Rm9udCA8PCAvRjIuMCAxNSAwIFIgL0YxLjAgOCAwIFIgL0YxLjEgOSAwIFIgPj4gL1hPYmplY3Qg PDwKL0ltMyAxOCAwIFIgL0ltMiAxMiAwIFIgL0ltMSAxMCAwIFIgL0ZtMSAyMCAwIFIgPj4gL1By b3BlcnRpZXMgPDwgL1BsMSAzMSAwIFIKPj4gPj4KZW5kb2JqCjIzIDAgb2JqClsgMjQgMCBSIDI1 IDAgUiAyNiAwIFIgMjcgMCBSIF0KZW5kb2JqCjIwIDAgb2JqCjw8IC9MZW5ndGggMjEgMCBSIC9G aWx0ZXIgL0ZsYXRlRGVjb2RlIC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9Gb3JtIC9Gb3JtVHlw ZQoxIC9CQm94IFsyMTkgMzU4IDU1MyA0ODJdIC9SZXNvdXJjZXMgMjIgMCBSIC9Hcm91cCA8PCAv UyAvVHJhbnNwYXJlbmN5IC9DUwoxNCAwIFIgL0kgdHJ1ZSAvSyBmYWxzZSA+PiA+PgpzdHJlYW0K eAENzDEOgCAQAMHeV+wPFO6M0NvYSWVtCIWJqBD9v2TbyRYCBeMdYj3iFDMpNbFx0a+pxvS8335S j+ZElKFlrGJN86MjZvolazffbRV+JLQTsAplbmRzdHJlYW0KZW5kb2JqCjIxIDAgb2JqCjgyCmVu ZG9iagoyMiAwIG9iago8PCAvUHJvY1NldCBbIC9QREYgL0ltYWdlQiAvSW1hZ2VDIC9JbWFnZUkg XSAvWE9iamVjdCA8PCAvSW00IDMyIDAgUiA+PiA+PgplbmRvYmoKMTggMCBvYmoKPDwgL0xlbmd0 aCAxOSAwIFIgL1R5cGUgL1hPYmplY3QgL1N1YnR5cGUgL0ltYWdlIC9XaWR0aCAzNTQgL0hlaWdo dCAxNDQgL0ludGVycG9sYXRlCnRydWUgL0NvbG9yU3BhY2UgMTQgMCBSIC9TTWFzayAzNCAwIFIg L0JpdHNQZXJDb21wb25lbnQgOCAvRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0KeAHt0AEN AAAAwqD3T20ON4hAYcCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgw YMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCA AQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMG DBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgw YMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCA AQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMG DBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgw YMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCA AQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMG DBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgw YMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCA AQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBj4HhhVfgAB CmVuZHN0cmVhbQplbmRvYmoKMTkgMCBvYmoKNjkwCmVuZG9iagoxMiAwIG9iago8PCAvTGVuZ3Ro IDEzIDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2UgL1dpZHRoIDQ5OSAvSGVpZ2h0 IDk5IC9JbnRlcnBvbGF0ZQp0cnVlIC9Db2xvclNwYWNlIDM2IDAgUiAvU01hc2sgMzcgMCBSIC9C aXRzUGVyQ29tcG9uZW50IDggL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtCngB7H0HWFtX lr8nM7szu7Nlekm1TTLprjixKXoSqnQQIBCiSUggQF1CgOi9947pxXRMdaHYpvfeezG2cY/Tbcfh f57kEDttsruz3yb5o+/6fffdd+t59/7Oub97Ht5z1GnPbtiVwK4EdiWwK4FdCexKYFcCuxLYlcCu BHYlsCuBXQnsSmBXArsS2JXArgR2JbArgV0J7EpgVwK7EtiVwP+qBA6z9xxi7znC+QefTEGFUO3/ Rs3/q9L4n1cOQz7A2gNS/f5VHXJUFvnvvgJo7qAj2pyqabh+/6Z3c+5KYFcCPzEJAPYedHyLFnjU JvR3ONE3YNGRb/dD+I5HIKVD7N/iREcYIYetQ36LFaGA8yMS3WEOKor/EjLvjO4gG8OJtvXLPWgV /H1rOOCIdY5lBxXuNfD8+1JS9W1HCx9x+tUJN1ZQgb4w6Zljzu/ah9v758Hb/Mer6Z0B7kZ+6hL4 xSHbX71hsgeMjaPOf39C/tSl8aOTwM8OOpLdErtGF2/f++j67fdv3Hk/tfISgIMKE36m7vRrLd6/ YwQ/U/+Gl/vP77r8JyL8xTsu3zDqw+z/wAjC889uXr8D1UK4/d6HaZXtvzzuugcFJZUZ7/gU1KNb BmUKGvlCBUAEMsO0AQ3yJMw+3ggo86vwDa5ohi9qhvjOZPt64teL72RG2+L88oRbcHbT1u1753qm 9xp6PbaEoQ+q/qA9fKLzO/Xv9PZNh6jC83ff/9gptAg1wiFd1UmofGcUX/bBEU181Ta3vnvr1j09 QRI62C+ffk25HOEUn+2bWblKdEtAK1d2+A94CZQ90z31i2Ncn7Taex9+Iomr2HMAOqmsXDU6VdNQ M0SeauKJPKp2YURoNlX4llegqnP3+pOUwBHn36pTcYQDLx7Xe+Ztuz0HYQ1+AwJ8ucR+kkL48Q7q AOtlE5/FjesPP3tU3jLkElZS1Trc2j/zn4hAhUX/qskraOodnF77d21lypMjPcCy8MgERYDnxj3G 3ieePnOQzQ0r3t7enli6AuDGDS3qGF6oahv5tRZ/z9ssQKG3LQMP0oNe1PcE3YFiyBHOsxT5Aaug V6m+z+t5QDool39612WfoeJPBCnk+efjrpD+F5JMCThs0DWvm/sfsg7eb6QAYxV6CyrmBT0P2CDs NfCC3QfkRJWREqaguTcs/A/Sg1/Q8/z5MS7AGhR/zczvED0YQBta+er8PMKB4nNr16D/8DOTZ/wM RUJAe1fID7VB996iBaCAf9QJWvkzUQbDOWwd/KZFwO/xErS2Nx3iSlruP3joEl7y6+Ou0MnfYIUq 5Qg1P6crh0ZBx0E6DAFGDUP7p2POmqxIW98ceAptwaDUjL3hKdT8V7L7Uz08wmnqnrz13ocGopTH wH4UtdgZ3jkE13gA88CTjQ8/+8w79bSaoQJE8WdUFOieSyVAyAmCguvvcGJUCMomUMFCt49w4I2/ ZOD1ex0xiAjG9SeiFJUq7LYOs3/xrgv05Dldj2/U8k/18ImZsJv+o5TAAfZRIm6mXa359Mt2rEMv nNDb86btnsPOe77JwPtRDvCnPUXfYlp7ZwN2dY4u/CdWCHAE6xrhRP8bCr/MPW/YwysDM3JgahXF w9fsduzDPW8x97xiYyROvXHnAy1W1J7X7dEUQFGVuA5z/vld1+jC81BzTl03IN5fiNJfarj9mSD9 +REO4HlT1+TVm+/def+jhY3rOtzYnx1yPM6MgFYgPyiRwenV+fWt3+BEoHQuX78DHYCtwRsWASNz G3WXxvb8zeY3iPDk6c7N63dv3P3g2q17HknVv3ib5RZxamJxs+bi6NjCZainfXgBYBY6DMDY1Dnx 8acPbt79YG516yV9TwCrnLou6MDd9z9a3Lghiq34KlId4egLk6GSy1t3wPQtaur7V6VA1G1CN7Zu Q20DUyvwFOJ4l/h/PuFa2NQHCu7Kjbvbn2/Xd4xrMCOhkwDsn9x/wAkuPMGKWLt2K6rgPChH2P50 ji6evjj6kr4XWNSrV27BXgaa6JtcecsyMLqwGZQsKEoYYHje2ZXNWzC6O/c+6ptaeWrtHOE0dk3A cL4E9iOc3+mIQWil5wefOcYNyKx/8PCzrrGlxcvXoZ+XhhdeM/MF5Ts0u9Y+shBT2Ly+decEMzIg sxGGf+3WeyAcmABajpE/P+oE+4WVKzdrL42VnR880z3pnVo7vXI18VTbntftgNu5ODRX0NgLCP9U f37aa+T/y9E9c8jBzv7g9pba9j2199b2Vxa8Ykg79h+HqHveZO1R5+6+/R+0BI5wgEUJyGyAtR+a cwbMURSZIcAB3CE2mIs4pxhY5i39M/NrWwB0eOdYMPBgRL/W5J1wiNDhRAedbHzvg4+l8ZUEbpwG KxK1xlXYrqwE7PnPHj2Cyrduvw+VhOY0qRl6/VaTd2l4/oOPP3UMKuBHld66+8H53unnKHJIvP/w s6DsJiNJ6sqVW1AKDGOwiiFycXAejNujNiFgAE8tX/n563bS+ApID8luonudBGi6cff9vYYK77Ta zz//fGz+smdiVUPnBGQQx5b/WtOtc3QJUC6q4BzFJR4Uyt9MfeNLWj579DlQJXRF9urVWwBrz+t6 fOVNnTo3AHgbmNXYPb60sXUHTGvQehhODFQ7tXzVL6O+um0Y4k1dE88cdHTwy7XxzXEOLe6dQAE/ +3TnnpcsAdg/vf8QhgkG8OTS5vq129A0hh0NGdIqLoG6uffhx6BcIANQ8YqU06+Y+lYp6zSVpYPG RBtaumLpmQWaN6O6/anufROwg7aCIkMz6/BO/TPrwWIfnl3zTKhq7ByHdL/0OtjyfPjJp58+eNjc N13c2AuvEkRt45MDPS9vHoA8efXdoNBpnlkQv3bzPZBAWO4ZoOsfPHwEKgM2RKAB4ZEgulRl/z/V pf8v0e8nK4EjnN8es6g8qbZ9R237ihoK73fV7q7tP5X7N5yhxp43rPcc2aVlvv3Y8f98LSiB3T+j HlarT3rdP73L/RLYX7eLKDj3+efw5KlfbHELGH7AgQAePvVgextMzZeNvXeYAdi5/+yok6E45WRN x7jShIb853qmGL45V26899En94dm1iaXrgBWb968C1AGCgLUxzNvMQHDeyaWITMAO5jcEGntn4VE OIGFUsOz6/+BCAFOH33+ORQfnduAgpBHyzHaPakK0EwUW75nn5XK3vZJrT1uH/7o0ecjsxtQMyDz v2i4Ab6Bof7Jpw/AvAc7GTgoKE7hJz5WSfBSjnBe1POEtjau3QZy41z3FGQQRJfB0LTZURAH7h3i QJtAHPYFYMqyAgpAc00uXumfRIG95Gz/nhcfAzvwUT9/kwkqDNLhWtE8dO3mPVCa+4y8AdWh9bH5 DVA3bpGnACVUwG4sSQMt+en9B2DwQw9rLoyae2TuOfTFbkjZw69b7Cpg759aVQE76DJA4D376ccd IiBefn4QTPoPPvp0+fINYLf2qFnDDgvnHFvfPjY4s9arFHhBYw/sKUAdQ1crmgdBN6F7tMOcojN9 8Jr8MxtgMwLv6Hk9lCn6yWLa//mq/CF0ANa4ts6VEbXt62rbl5VhU237ptqju/sXhtSY7MO/fsv4 qQn5Q+jzbh+elMBbDioLDexSAFJgv/9dmw9W5b9r8l7U8wBUhLV/tmdydvUacA4n7MKBW4YV/S8a PIDZE7ahsE+/+8HHgFcn7MOBr35s80P9QEdruGGdYp4luwPD/IKuh5XiJMDF5OImIBiwK7MrV6EV Lceod+zC3zTzgwiYx0DL/OIo59eafJXduwPsLX0zv3iHC/WrgP03WNHZ7ikwd8Ga1WZGHncIB6rn 345xQUMBsHsm1wDSgi0KzSlSa4/ZhoGNOj5/+Z+AGzyInucCsN+8AwTOew4B+drMiHfsw2EsYI5+ iVQHHGEPAorj0aNHwISAPQ9VDc2uw6C0HVFgjyw4Dww5ho1a77DdACcWOGNdunyD5JbgnlANicVn +naAHTh2gMdD1iHX77w/t3oNVEr1hWGguUDrHbMLA77lfO8MFAFeBYqXnEMtZxNp2jNHnEA+sI0C YgpSwNrfB1sGOMpUvbsvLHZdOGZ90wE9DTnk+HVgd0+oBFEAsMNYSs8NwOkDADvoXzUj0L+OQIsB ZwWYD7sD2Lk8+OxRYVPvDrCXAbC/aos2d5ijUmegjqHzsEtCeRg4eH1yFu3Gf1oS+NlhRxbrAIrq gOcqYIfrhtJ6v6d2a00tLvKNF44R9xxUHtz/tMb+E5nYBxzhqHFiYRPWPmCUZ1J17cXRS0PzAICo 7f02E8w/ODwFO/mXx90eYwi8RxVd87odVZZ++96HCCcGJdiBwNlZ74fRs7+IvHMAjAmn2oBMBu0A 9j+czP5eR9Q2MAcWYFxxC5jZgK6+aXUASmA/g/kKtm5wdiNgIKAZADtwF5AIugMAML+xBxLBKn7m DXtZQiWkV18YofASqe7pQOY/ryv3Ta/b3v4cOA1AM8BGyOyfXg8mesfIAlAiaZWXAO1hLwDbjZji ZkB7sJNJrvFwMFrfPv6vWrydF/qLQ2wgNMCkB3g3k2fSPLLm1ragNjjiBAUEkeiiZgB2rFMsxEHp wGkvIN7A9KqpLC27tgsST51DLfaE0tbPPnsEzD+oS5DGxaF5ePTw4Wd072yAeuDhUysuARNircgG gxnEqMdPAlob8ljIM6nS9Ny6bqBoYMsAhj3sSuAE80s7GQ5PuybhlUGj1W0jde1jIB8gfKCsiooJ zGoAVgoYIUNhSlFTLxBi4P3482POsAsA/vwVYx/oErBPQDG9//GnBqJkYJygLBwlALCrFH1l69Bj YD/CgYPUnnF0DwWKFSi4xw5Cu8v5pyYBYFdQguVnRzi/PmheX/zK9n217Rtfw3aA99tqj+6o1ZW8 chBB9ryNHsPthh+iBA44AqvQ2DEOB4VgSy+sbwEf+9jd8QgHgDGxrA0O0dDjVLAMn3yJB1hweAeA jB6e7hiTqgzKrTqgK7DEcMJ4+frdtau38hp6UIr+bdZbFgFwBgpWKLQIOAPcO1jpZF4i0OMANZ1j i/AIYATQHloHBw+4Xd68CUAHtdVeGt3zmu1vEBF4TgIdBPmh5jNdk2COAukxtbzJCSna86Y9nD/C LgOcfODMFwxyUAGQDeqB41fYdPweL44paoGmYbxwvTA49y+aXwD7IfZBqyDAf1AH/3wcTFMOqDOg rMG3ELzEYdcA1coSqkDfwV4A4sBL/+yIU05tF1QOeRJOtUIinJPu2UeHvcP4wiZdcRKV2+v2cB4B YAueNrD7UAmhe2xJ1SsoIk+s+tmb9kllFyAOni0k14SZ1WtrV2/DAIFuYvhkf6k0QcJHOGmVFyGn KsBGAM5MX9D3hNuKlqGfv+MC2yJg9UFBr2zehI6B0yn6ecIRDlR1vnfqRX0vtEsHHMErcu3abZBq 6bn+kbn1yPxz8CJAV0I9cAwB+hF93Uc4oMV80kBpbgMng9bzlWnw5JTYjf8oJYBC+s+OsH9+2OHX b1N/9wb++ZcPevL29ZxXex8s9rtfEDIA6SrrfV2Z8oFaR5PacZLWnjdtdj0hnwLGH84cAF++N+z3 G3mDNfuvGm4AOzv9fEbdGUw74AF2PNt3HsGSBxe+V6l+T5q7Xz6F0SkPYfcbKoAq/wvJfc+bzMf4 D1rgAAu8U962DAKHOjQdMh9ig0OOmpHijwSpin/4K1mGulsfdQLGG3Ab3UEA7QBbA9Q90mnPWw6Q E2pGfQ7BewdSoDnIAFdlbU/E0ePg5yjucDqJlgVcArg+4AiUDhjhqJufyhV853VA96AeCDspqqah ZtUjcA6HR9A3yAO+Q1DbEQ5I71cq0UEi5AfmR1UK/b4D9X6E4wnARl7kKSBhHhc/zIZSb5j7/5s2 /3EfQPJQHHqoHAU4Bb1tFYT2WTWonf5ARJUTMquCyiUJ4hCBp5Af4m8zYXSofFRDhnRVBqXaVWZj gQMkiPFxJSo5QGa07Bdz4AjqaAqYD52HoxB0vE92Yzf+45YA6t/y88PMXx2k/fYN4l9eeefFfW+o 7d378ksvvfDsXk31fT6ifRMdap+C3X5bbfuqko1RwTtg+zW17Q/2d53dr0HWVC7h3ePUH+rOBVb0 DgI8OV0BwSD9yZSdOEDENxbZyQARVbVKiH6qErTaJ76LgZwo3rJga1B6fgCMRpTzV0EQ5PzKjkBV PySqKn+yuW+Lq0axQxZBNrT40x34trLfJ/075HCYDVuPU2f7xxcvv2zi/XhQqjpV/d9B2icbgq6i T58guJ58+j3jqlF/R+Zvk+1OEXCQwIlhhwWnw6CLd2nVp+bwjpR+fBHURP/lIfp/vkl+9uXDL+17 Te2lfS+/+AJAutpLeyG89NzeP/1+7+/+c+/br+5TCPZPdu7//BZ6fooa7Spshys4zHy4f6Z7/wHg ZFDzbBfbf6jY/gOYn7A1gK9gYI+Aes7/APrzD+iDktECVATz+MfoKAhUzN+ovvCZ2D9AFD+NF/oj H8UzRx1/eZD+u9cJL6i9tW+vGoD5Dp6rUB2uL4Pdvnfvvuf3/lkJ7zjNveVZ++6t70dN950TVcB2 MOPf39906pV97xJ3/WR2F8jfkQAwCSq640e+gr4cJtjkMKivMyo/igHC3gFYGhWn9KPo8G4nv0UC zxxh/eoA7Q+vIXv3vbZ/7341FNL37nvhxReffe6l557fQfWdCDwFeN/7wt4//G7v83/e6+6yb7ZP ie3Aw+zY7dfgLHV/btIrvzti/NRJ0Lf04ctFsZthVwK7EtiVwI4EgOffDd9fAqCUD3OAePnVQYvf o5D+igq397/4EoD5s3/6M1zf+NurL+/d99c//gnikA4Z4Lr3+RdffO6FF5597rm/Pvfssy/+5o/7 nvn1q8e1Xr/YuO/hjX0ox67CdiBnANu31NxFb/78bTpqkn3/vu3m3JXArgR2JaCUgJ4oXRV0v4js pDyOiNP1xOnw9Fsz7BR8IidkpgjTSPxkEi/p6ZBM5qtCClmQQhGkPhWEaVAKgi4EZYuqeuD2ceLj 9DQiL5HgGgcuTwSXeKifLEh9IqCZyRCg8i8qVEYedwmKEFzi0KtrPIWfjA7ziwGqWoFbSFRW8rha NF0EvUqFT1Feobj97g3i3n1/e/mlF1Wg/cJfn/3LH/6w7/kXtE5oyETi/NzcqIgIPRIZ8Pwvf/gj wPuBN9/SOK5JIenRLG3sHd2snaQ0rreJayiRGekqdO5oPPYZ8O3wReoOtl9X25reTzbSOMYIAwnA WAj8VAhkgVIs4nQKdA+VT5q+OP27Azo0ZYD8ZFE6SYgGsiooK0HThelEYTqBn0YUpMEtOvwvSqFl lS9CKUC0dZW4VHm+4ap674JUIj+F6AZvP5mi7DOJn4J3SYBA5qVADdDnr5T9xlF8JY/q9htzfv/E r9T5/Qv+Q3LutA5ypgjRl0jkp+q4JMGVCG9ZgL5liIDYQeB4txS46olgtidDHF4Qnpe6E1Qvi6J8 QTAxiLxUglsqAa5oJAUCWoSXShLAQkgn8tJUiZAHUiAz+nQnKItAiqqIsgm0OQg6kMiDkEpSTsKd W2gdphNc0VKQwS0F4jC1droHEbIoDdpSFkfz6MB8AEx4nAIDQRMhRdUc1AAZCNC3nSKqFJj2onQY CJrBNRmKEAVoK5BZFSAOKSA3ZQ1QCdrbnTjcPg6uaETZbRAF9CQVXVY8EFEKCB+6AdedOHQSfQRz GDAEXSZf3MLbUfZQtR6VV1RKBD6I4qmAvqwv3xeMEQ06yis8UskKaoYXvTMl/rGRsb6u0b4uuI4P dI31d432o5HHKcr00d6usd6u8f6uyYGucVVOyKaMQCm0oDJAyogy50R/lyrMjQ5ubaxev3r52pXL W1c2IbJ15fK1zfUrGyubqwsbyzPrS1OrCxMr8+Mrc6MrM8MQlqaGFib658Z6Z0Z7pobQFqcGu+ZH e+fGehYmB+YmBmbG+qZHumZH+u9chz9e8eijTz776NOHW9evbSyMbc6PbC6MXJkf3pgdWJnoWZ/q W5sdWpoaXJjoWxzvXRrvXRjtWh7vu7G29OD+w/sPH8FHZA8ePVrbWBnp6xpWDnB6sGtxrHt+vHew F5XD/Gjf2tToxuzo5tzI4kT//FhvT3tbRUkhk0F/de9Lai++BLgNJjpA96tqLxsZGMRGR/f09MCX eODyBL+FhYXE+ARLc4tDb76lo60t5rlERERUV1d1d3eNDfUvTA6vzY2vzIw0NzV5Cm3rCl99BHz7 E3b7oxv7h869XZydAr1aGen6eH304dWJa3M9U/Aiervm+7vmBrpmRroHerv6e7v6ersg8o0BXspE b9d0b9dSf9eVka6tsa6t0a5ro11XxrrWhtDE5YGuzdGu29Nd91cHPlgdXBrrBmmgAlGGsZ6uyb6u 2eEukOHCeC8IH8QF8tlpC+KqACl9PV0j3Z1LI93XFwbf35z+5L219+6uLS0Mj/Zd2lqZ3t7+ZHv7 05s35sdHOqHPkH9IGZ6sbadaVQQeQR4Ywt/N+ZWC332ralE1zO/O+d94qhra1wtCem9PV09XR393 JwxneqB9dqB9brDrvY2J7c+ufbg2cne8+8P5oYfrk7cn+qZ6ulYnej67Obsy0T02MvDe1tLnN6Y+ XO55eHXks2tjn1+f2L4+fne+b7mvc663a7ava326596VkU9uTHx8Y/yjG+MPbk8/uD3z8PbsR9fH ry50X57vurs5dP/2zP2bU/dvTmwt9nxwfeLh3bkHd2aUYfqTG+P3b089vDv78M7s/RuTD6+OP7o6 +enq4IONwe0789vXp7e3JrZGez5dH96+Pbt9YwZuP1jo2+jven++Z/vG1PbWFFzfn+u7PdUFHdu+ NgHh882xy0M9t2b7tq9PoTVcn92+s3Broh9N2Zp8dGUc6nl0Zer6WM/DTYhPb9+c335v6aPFwbuz PdtbkH9m++YspNxfHb8y1PVwc2z71tz2vdXPNqfem+56BE3cXdy+t7x9b+WzK5N3Z7ruXx5R5p/f vjf3+bWx7TtQdm777uz2vQU0AuEDeDT//kz36kjf/btLN6aHL4/2fLw5/fHm7PsrE1uTfXdXxz+5 Mvf+yuT1yb4bcwOfXpn9cH3q3tLoUn/3ykjPJ9cWPlybubcydWtu6M7C4Ccbkx8tj3yyMfrg8tD9 1Z77K133ZjtvT3ZAuDPZcW+24+OV3gfrA59fHd7eGtm+DtfB7RsD23cGt28ObV/tf7DafWe2a2O4 axagRrncYDbCrFAtJYioJueTV1gFT95+JY9qSkOiKsAt8R11/DvqpHfU9TXVdTXVyRrq+hrq5OPq lOPqeifQCOlddeIxdf0T6gaa6pQT6iRIgfR31cnvPA5QlvKOOuEddR11daK6ut676gYn0PxMA0pc WERCQlJsbFJCfEpCQkJcXGx0DBizwYG+ch8PNw8hU+xiI3VlSF3MxY7GIqaRm62+kyWBRcXaGWla UdQtcOrmOHWmkaatkYajJcnOimJlgjGjHGXo44uya1v61s/0Lp/pW4jNyFDwrPxczAJdTEPcjL05 JBFNy8Ma6+5oxGVQOGYIl4pxNtVg66uLzDHJAb4dPXMdwyune0YlUfG6hnqax9QJ6upUjDqDeIxt qqGn8w7uuLqFjqbQSteTSfV1sgjimtsaaWkeem3f8889+8c/AYUOhvrzf/nrC88+SyYQAM97e3pu 3bypwvOvXO/duzc4MJCckECnGr/+6qtHjx5559139HU0uTSS3JEqtDfiWJBdzMnOVExx8quolztg O3g/AiFzVe3+lX1Rns/TNI6USo0rfY1inHRcdd8xP6FupK5ufVydgxylaqofOHz03aNHyOqH1Y8c PaqO/t5RXncux9XVDdXVHd9RF2mrB5LVowzVww3U/YjqEry6FKvuhVf3J6rHGquftFePtdNwMtDQ 01LHqasTjqrrHlU3PHbUElG3p7zjaHTC1uC4kc47WA3148fUjylbeVdd/YS6ugZcj6qfOHIUd/iQ Beag0Ew7xFkv0982VmHpJTBl2hkbEjU5xlrZCeLkFE+RxMnMgqKpcRT6CpVADXB98qcaAlwhHXoO lWupq2srr3D7lcxPFvz+cZAPVIhRzlX89y/293JCn48cVT9w6MixQ0fUH7+Kx2Ug/eChI+8ePGyE UXezxNMJ2uoHDyf4WBcE0DwtjuYG0Lqr5Lk8YpWTXqvC+rzEJM/oOPXwUZ65Vlc+n62nbqJHasgL nCjk1ntpDqTQRjIYYxmM6VxmpRgn0jjMUle3efeol8OJ8niz1jxWc47d+Rz7rlLXnlJebxn/bIZ1 NP9EMFe9MNKgs9StvdjpYr5djEijLsu+t1rUXcHrLHftKndpybW7dIrbXSWExM5cZn+y9Wgyq91P tztEf73KaybbdTrdLlZfoyXAeKWINw+3GQ51PKyPxtFqV82FPO7cSZelfJc6HvEk49h0pu10qv1U CnMsxjqAoHHSETub5TyZ4TKZxVsvlWXQdLLYyGQaazjBbj6XPxrHSTY+0RdlNXPSZSZfvFajaJLo l3A0pjKdp0+6zuQL12v8LvlaBuLVOyIs54uEVxpDBmM5JQ7HBhKsZ/IFi+Wea7V+AzH2xXbHOkJM p3N5G6cl1+sEY0kWc0Uu69WC1Ur+5Vrp5mnhWpXblTrhzXpZJftdCV6zNokbT6MEGGs0RbEvxAtr vB0SrXWKvK3PRfMrPOwT6TqJzpS2JFFTFK9SQnN+9x0J+URrEr81xPGsv1W9jFQr0q6T6pzma9UL tBvcNOp4R89IjzfJkPMK4iU/UncIZSiGMpmkP5uiP5mkNxCNH4zW6QhAqiUauVyNGCtNT+pxjv4x SzyKk4CZsIggaCpnO0xyCDtzHhJVAVJgxsL1yQCrY2eBQA2qsrCmVBFDHcQIhxjjEKoOYkZATPGI BR4x00GoBMQMj1BxyiukEBELMpoBskEeU2UEzYZDTHGICQ4xwCGGWMQMh1gSEEsSYkFAXK1Mk+Pi 09Oy0tKyUlLSk1OSk5KSEuPj4mMiIoIUwQqhr8xZIXL0EbO8xXYKAcPD1VLiROUzjVwZ+jwGkWOO OBgidoYIl0Hm0skCphmfbe5so2dvincyp9aUnO8avdo2uNE8uJKWkxvizg6XOkRKbGPcbQL4VE97 kj/HwNfNSsym8m3IIgZZbE0UWiAKe72siDAA9p6J9aSKGoRI1NbS0sFizUk4JxOcgE6yMCYYEHWY ZnrudmYRIodQiV2I2NaZRjl24E0499whzMFQ1ydTak/XbmysP3iA/pWM7/59+umnC/PzFeVlVjSa +tEjJhScxNFc7kp3YRhJ7Q3ipZbujgZUyrHaAvBmV/rJqDiZm2qTnfsUzBN5nma+dkQ7EtYGi3Ui YJ2JWCEZiaTjkzm6AQwkV2jaEmlnb0zU0sJgEQTCkz88grCwiISIKMhIlCkSboZ46SMeZMTfEIkw Q2IskGgLJICKOOkh+niMjjZGD0FMEYSugzjqIXwLgpBOcrHUoRvi9PEIVIXFoPXjEISIILoIQoKg jZhhtYQm+JPewo6qvGgfNt+W6GavbwWSxGlZIFosXW1nU4K1hSGRgj1x4oSmpjYG82QHn4qr+q+q HyonKxuCdiHlK+N6qth/5QZqM0AQMwSxRhBLBNH5r5T9el4YijaCaGEQnCaGRsAEC8xCBeZkAk41 Rm0MckILY6mLiRTR84M5mR7U3iqfOA9bRONEQbxbaaSdhy2uLIbZW+aRy9M/zTcdTBKdEZuW0hAH DEZiQ27N4nONMVx7s57a2IUqj3Mh+iPZjnOF3OkC18VS0dkAYwVFW4AgzjqYYDdifQazu1zcXsK7 VMLvq5EPnPYYqvW8UMBN9yREi5GyRHp/rUdvtaSzzDXJi9RU4Drc4D1Y59l/2r2/1r291KW7WtZf 7z3U5NNf6jaay53O5ncHmw7GW185E75Q7DGX45ZsQWqPZGyUy5aKpQsFvPPu+sFETIOMvFwsXSx2 Xyl1P+dJLeDg5vNd53MFs7mCmQznKBNSPk9/qdB9Nlc2myfdKPfKZxrkuerO5QomMtwWTnlNpYsy rQiDScz5Qsl8iWKjLqTV27KKT5zN5gKwL5V6bjaFtQfaRuhjOqLtliq8r7bEjKYIql11RpId5opk KzUB6/VBo0mccmdsT6TtTKFspVZ27Yx04qTDbJHbxmnZWo30cq3n5VrZeo3kSoP85lmfej7BnYwr 8LFJZBiHWBHOJvI6072awnipbKNTQZzWJHmVDyfL0SjZUfdcJPt8hGOzv0URW6dSRGwL0mtWUBpl hLNSXIMMc8YTfyFArz1IbyjafCSJNpFhsZhrvVLAWMmznM6i9scbNAeQSoTEMDpeYIx1Msba6WON iYguFoPXxGA0MRpaCEYb0cGga0oVYB7uxGFxEZQBElXpO7eqR5BTlbJTRJWiWiOqRWRKQoHaGOAa sJqEmBARUx0UqCHl8VUJ8uaQTkBMdBBj7ON00AWQATKr4B0WCwQAeRoBoZEQcwLiYkVNiIxOSUlL Tc1MSQVgTwO7PQmAPTIsIsgz2BsFdh+ho6+I5SVy8BLZSd3oQkeqm50+ALurNYVtjmUaIEwDrKu1 rpMlhWdvJuDQXGwNHcyIXJp5bXlb9+TWxeHN5sHVlJPZwRJmuNg22p0ZL7cP5pkp7El+LANvrrmE Zcy3pYht9eQ2JIkl1sPBICMsrL1nvvpSP0vIRxAMDocj4PFWBnihLYVhRqYaUrhWBnK2ZajAPs7L WcK2IGsff+Pll/e/CKiOeqSrwt7nXzj01tt8N15ra+vHH30Efwfpu4Fd9RSy3bh+vbWlRSzkm+oR HOmG7o7UKBld7mwqsDMU2xhzrY611u6HP+37+KPUq2oPru4vjn/DCo9zphCdSHgHAl5AwYVYIFku pFKpfnOoxVgac66Au1QuKAuiGZCwgCQ7P1WUgiCOCCLBI14UxNsAkVIQLz0kzASJtUCSGIgPFbHB o0qZgkGBWh+HvjimIcKnkcRWFJ4Vga6P1dNBdLAIHoPOMZhOMIVUkEvBInTQFwxiWZhw6Fzp3GRv 05kidzcam0pwpeuyTLBcY4RrhFoCOCyiraWt/WTndnr5RUQF5lA/tAJx1ZSGK8xSuP1H/UAm0AQV NBeCOCCInXIsquXwPZuAGtAA/6AsDmuvg5URselMSqev1UAo/UKWJNbTiohHM5DxiMSWUhjKyvEy v1Ak76jwyvaituS5K5zNtU5o1meKG+PZEgauIYM3WR9UJDGu4eg2i6jnnA0qrYm2GIzIhthTIHU1 wXAdzXrOJK00BF+IMB3NZi2U8uZP8ZaqxK2hpn662mIcCuyhPFJDNrunStpVLmgv4/XXeQ7WK0Ya vNuLXFMVhGgZUplqM9jg1Vcj663gp3lTzpUIxs75jTT5DDYoBhsVHWW8vtPy4TO+w2f8+ytEY/m8 mTxxd7DJcBLj2pnwuWL5bA4/jUa6FGO9VilbLnJfzBe2epsEkTF1UtJyiWS5zGul1KNVYVHIxi/m CxbyhPP54vlMXrQJOcdNd6lENl8gmy+Ub1QqitgGuW6683n8yQznpVPy8TR+miVhMNlxoVC6UKK4 XBfc7Gle5aozleE4le06XyxbO+3f7k+P1cd0RtHXqny2mhNGk4VVztiRRNulUveNhpCVqsDBWFYZ B3cx1HI4W7RQKd1qkk2ctJ8pcrlc675R475R67FR675eLd5sdL9x1rtRQPIg4bI96AnWxv6mSG2k 88UU9/pQ53Q2pURGawtzaPKxbFLonZHjznnhG2U6jXKdBhnurCeuVYFtD6QMJphN5tjO5dku5tku 5Vsv5NJms8wGE41bQ3Qr5MRUrk6gFc5VH2tDRowIGDIOA9ANil9bFTDorIAElZUCsw6WEsRVAaaT Kh0i8Ei1CiAOEZixqjyQDkF1C4/gB7ff9jMDYCcghmCEExGIg6FuDACuNOBhSVLBaAfTHSxwMNeJ iAlkg0c41MiHgCI/BCxCxaJXSIH8YLGDzQ/w7kY3S4iKTk5OiY9PjI2Nj4mNiY6ODo8ICwzy9fWW AhXjJXOSC1keAgd3vo2HG0PKtRJzzAUsI66NLodOcrTAOSiBnUvX49BIfHuqmGstYFHZliQe3fJ0 2aWuMQD2jZahpeSsjEAxM0rGipGz4txtQ/nm3g4kf7aurytVwjIQAKTb6soYeJElAsCeFxt/9tKI R5C/gYGOjg6OQMSb6BLdrPWY1npgVUrZtCC+bYSUHSrj2JnpHnj9tVf2gR/jl5Cuiu8Hgv2lva/s 34ccf5dla11UkL+6uvrxJ8Ah//0fwPv7778/OT4WFxXhyKAyLQ15dkY+buZR7ja+bjQZ5521mX2o f7vKaL+jNnRxv42+FttA392cHEgnxrOIBXy9Bh/jzhjG2EmnsVznyTxnsE9mTvG87UiINgbgEwIO wQC6gIENRq8tBnHFYFxxiFQXCaaihnqAEaIwQ1gUBGAfZpcRBjHXQWhkhGWA5dF0BAySkwXBxgBn oPPYioC5hBrnSvuZiMGY4LEcI0Kos3FRILMm0a22wC89SR7oxYwNlJyvqZoaH+hsKwiWGtlQtIjf MfOenpGQEXqyM5+ffvgPu4NlBQKxVyo7J+UV1BlYQdA6rJ1v+ylXJ2qZ40CeGMQAj7Uj4cLMyH3h Dldy+MtxjMtZ7Os1ko1Gr7OprrEyMxIeq0fEpcjNGlOdxs6EFoXSW0+KKqNZJeGMiYagIBcAdo22 CkV7Ds/XHn8ul7fWHVcbYFnrgG2yxzdz9KoZZAB2oTWpOUvkQsVwWdSepuT1xuDOaLPxXM5iuXip QrxcLbsYYRFAwcjxCF8HE8kjncnj9J+W91VLuisEw/Veo42+I2f82k/xMnyIcR5IVbrtcKP3UK3X QKUky1e3pVQw3uI/es5/qNF78IyivYLXU+cxfN5/7HzgYIV4CmzyQo/ecPPRVPvr56LnCz3nsgUZ lqS2cMv1StlKqedykfSCr0UwEWmQkVbLZMvl3mCxX/SzKHLEL+ULVwpFiwDU2bw4U3K2M2mlVL5Y 5DFf5Hml2q/UyTCPR5nL409lcpdOySbSBRl04lCq03yRbL7Ea702qM3bqtINPwXMTJ5stki+UuXb GWAVq4d0RlmtVHlePRczksyv4CJ90YyxHNFooXy6yHMojlvprNMRYTVeKFuqlm41SiZP2k3mczZr ZRs1YKuLwVxfr0Yt9qv1Hg0ioicoYr5JDkf/pCPxTLDVhSibthCzZh+9s974Jk98nZTQ5EG44Els 8yP3xdOms+wWC1lLJcyVIsZyie1MrmVfosnZYMNyhV66AB/mgOXrY2F7C6YRHvsFMqsAXInhMKNg au0sgp3IN860JxEeFgIEVdknUf0bC35jIsA1VYnYKNkCVAx0UkXOgCmu5GSAflHxMOZkxESZAQDc EIBdSbyo4gDvUBBUANjqVsTH2C6wsUyJS0hNSU1MTIqPjYuOjgoPDwsNCQ4I9PPylHiJXT1FHHeh o5RnJ+NayZws+WwzwG1AOVdbPbYlgWmG2BsgDgZYN2tdMOBFTDMxxxoIGY4VUWBjVVfV2Tl27eLQ RsvgckJGRoDEIVpqHydzAGAP5Fl42pN9Wbp+PDMp21DAwAvpOjxLrCsV8Web5saEBYeF0EzJBmQc iUTQ1SXbWehzbY2YNlRPV0a8r1ust4uYScOeOPaqmtqLz6IejOCaroJ3wHOIAyfz1uuvIhrHWNYm Uq6DiMuim+qZG+qlJCaOjozc/Bay/euI/xD+yPbG5ZPp6TxnltjJytOFGiyxDhXY5scc+Whr/+OD 1Otq99b3+bock9AM452NSiQG9X5mLaFWQ5ns4Sz2QCpzNNMR4L0zzSHPXT+UjuUYEoyUeysPGinI hkwDYNXC2OIwCgN8gCkuyhKJsUS8DBAbpQWupaQRwKiwIiBcE5yrBd6NRnA2x1sZYnVxKAAC7KMB iwA/Q0Iwuog2jYiTWeumiM2LghxSPGnBQiMvF4MggV1xavzk0ND7711bWho4VRpmY0nAKQ30J2f1 N06/ryR+98z/Sub/xi1ANOwrAdKFWESGR4Rg0iihHnSKCt6hzq/0AbQkUUvbAIOh4zB+REyeCa7X 03QjmXkt03E5n7PR4DFX5NbiTrgQatqXwz2TwSmNtjek4HUJuGipSUWUQ2uWqDiMMX0mpCHZqTrB cbMnMUZIw2hoNBQresvckyUGdeluPdUB5d5W9c66LULTDk/GaZYhUDF8Gq4xyVlAw/CdLAZbMjab wzvjaLMl/LVq2Uq1bLXW81IULVgf40lE+HhMlJB8vogLtnd/rbynWgaMyth5/4nmoO4yUa4vOcUT ezrDfvisH0q/1Eiz/fRaS8WTrUGjZwOGz/iNnvXpqhT213uNNQdOtAQOVcmmT8nmihQ94ZZjqQ43 WmLmC+TzJ3lZdFJLkPl6mQQwfDFf3KYwCyEj9UDFlEhXS33AYu8KtgLWYqWQv1okXimUL2a5JZiS sxwpoAhWS3yWi70vV/iWOxnmg8VeKJrMdF0olk2k8rPohOFU5/l82Vyhx1p14KUAmyoBYTbHbSZH NlvguVrp1xVkHa2PtIVZzpTIV06H9MU7lzljuqOsR0+Kpkq850/5jqbw6/jEjjDaWJ5oESiXJulU jt14LnujRrpZJ9+sFW3UiMBi3wCyvc6jlk8IMcCWyUiA5Oe9devk+NNSYoOc3OKn2xttPplpv1LM WT7FXi/nrJSxFwodhlJpF6JMGwKN86SUaDZObIJhYDH6wKIojXCg4EDdw6T6+u8rs+jrGb4jBZD8 f1JcVTOwK2CHo6a4klEHIxxAG9hyoGKMgHgBxIZHKr4Fj6bAU30sqqEA0lF2XakFUFTXQcyBnwez n6JkY/CI2IaeGp+UkgYkTFJiYnJ8fEJEJArtYaFBft6eAZ5iXynPQ+TkKXDw4FkDtkucaAIHqput sYuNAcdKl2lGsAVgB1qATuHSKTw7qtiRLmbT2FZkvjW9rqaje+zqxeHLzUOr8ekZQSK7KKldjNQh WmYbwKfJbYleTF0fVyqwHGJ7stBax5WG5ZnrBLmaAj9DN9YxJeJM9AgGBrpUqgGDTnVysASqPyNc EuPPc6AZHHjtNcDwv/z+D3BUuv+ll/7029//6be/A6/Fv+1XO/TmG0TkhB3QNQKmv4ebj8gl0J3n wWeJOQymhaGdmWGon/fF1pblZfS/Evg+P/hjoVtbW9VVlb6eklB3dkkMT+Fq2lz6t8/hIBWOUOG7 1Dv700Nfj+IZng6kN0cw+tM4oznOAxkOfal2g+kOHUnWpT6m0UxsvC2+1oPaGmZdIjMqlhrV+psX uhv7WePcjPHZLkZd0bbVPsa+5toueoi10sCA6YjVRmC3aKurI2MQPGzJLmZEC12sLvYx9QfArocF VhBsVIwhRttOD+9tZ5jpQSsMtI+TmClYul5s0zhfybnqiuubax/cW796ZainM0PANdDWfBfYfphd //PJ+R2T/7/9yASL8HGInID46iIKPfRAAdQW2O0wXtV+QWW6YzAYHGA67GVwSDpDr9KBfJ5FnPQw nAuhrqUyrha7TMVbNUgJl6Lo3UG0RhdCd7TVQAqnNo5TEssx0sWbknWKQmw6C4Wjld5VUXbzFyMu 5ktqktiLXfFxcmtE80RthqwixtGPS6lJ5Q9VBVcprC8FO8wU+Mzkete7Uh21tT0dKLMNgR50DNvW fKA569rFmL5U29lTgo1az/U6jyuNPiiwG2E8SYgAj4kWkVuKXYFLGWzwBoJ99FzAZEvwdEtIb7k4 x5+cosDVZjmMng9AuZda2ckA/ZZyyVRb6Oj5oJGzAaACeqrEg00+k22hU20ho7VeU6Ues0VevRGM yQzHm+djFgo9F3IFOQxSc6D5eoVs5RRY4JILfhYhFKTeg7JSIlwp9V4u8egOZRSzdZYKhetF8tUC +XIOP5lKznAkr1d5r5f5rZT4Xq7yrXIxzOOSFwoFk5kuS0XSiWTeSQZ+OIWzUCBdLPICYG8PZFTx 8VNZ/PFM/mS+ZK06qDeYEaePnPWH3YpooTxgKMG1kov0xtDHcoQz0G5lwFiK22kXnf5oxkKJfP20 +7UGyfRJ+/Fsp/Ua+UaNGFB9oxoFdmDar9Z5NopIMVRso79eRxi1I8p8KMVmJsdmuZi5UsKeK2CO ZTI64mj1gab5HoYxrnpSS8SOrG2KwVA0MNqamBNaiOa3I/l/e0L+LxXUBYoVCHYw84CHISLGSr4d Jc8B55UBtdgJiDkJvUI6GOqwEAwA+ZU8DMA7JKoYG6jEkozQdFEqxhKPSO0Y6YmpmZk56enpKWC3 JyRFRkSCTwyge6CfIshbGugl9pa5eoodPfgMdxdLqbOVkGnGZRg6WaPAbm9GYBhimUYA7HrOdDKP SZU4W4vYFuAeI7K1bqzt7hy5cmFw/dzgUlJ6epiUGSV1iJLZR8qsAwVUhQPe19HAz83K08lMYk+R 2OCFllihFU5kQ7A1xJrg8XZGJEeaHs3CxNaWxuPaRni7pkfKnWyomseOgqH+1z/++d//5V/ePaqe npp26cIF6DOipf2X3/9RS0PdS+4UHiiKDfGMDfMK8xOFegtjAmT+MheFgBkkZEbJ2QpnC74d1V3g HBzod+niJTg2/T7wDnk+/viT6cnJilNF7kKBrs5bwxf+un37ZZSQeQ/+p9S9Ce76/TmiyWLxWD5/ EGz1TMeLibaFHgZRDGyiPabGw7Q3wW4ojdWRYHcm1LpAapjgiMvlG7SEM3riHbqSHfJ8TMW2JAIW A6rZnoJwdDEsfcTZFC+zpng46LrS8DQKDrXSMSjfAu8XNDuKddqgu7VElsRMd5vSEFaGj1Uwl+TN 0o33EZyvLJufnL733q07N8fO1If5edg6OZoaGWA1NMCE+UH/4EhIQUGCjZBYKhJsjJjDYOFwQTlq 2J7A8AHeYaNDM6LQTMgWRGyFi/56Nmsxh9kbbdaTaF0j0a90xrX7W/T609q8TAZjbPsDzC+4U2bz XdbO+p3PcCmJYOlTCDQ9fGWMQ0+lfK4tsi6B2VPpcyZTUh7rNFIfFiY0x2prnEqV1Ce7hAv0GzKF K/2ZPVn8nnAmoNZAuNMZFxO2tpafo8F8U6DCBke3oF5ozLzRntSXwpgu4W82el89F3C9JbA9yjLU EANn4mIiJkZMaSvhj50LHmsK6D/tAbb3ZGvEdFtUT6UkO5Cc7K1z+qTDeEsw2OfD9Z45gYYXK+Qz FyPGW0PGzgdNtIT0VEuHm3ynWyMmL4SP1imWanwvV4cMxTAnMjg3muOWTvmtFskKbMjNgRYb1R6r 5YrlEvf2QMtwCrZRrrda5r5S7rda4t0Xbl/I1FkuFG6UKZaLPJfyBGlmuqkOOqsVnmsVPiunfDer Ak67GeWyiQv5/Kks18Ui8XQaP4cBFrvTXL50Js99uRy1z2sEhLF07lgWd6pIsloT2BdiHa+PnPEz G8vhz1f5TaQJal0ww3HWSyUem42Rl2tDx5O5Z0X4wRjaaIrNQjHnap14Mst27KTjepVsuUy4US1Z qxCuVgo366RbDV7NHvqpDPxgmtVgksXZIKNid4N4J0qgLUlmRWCZYOgUbWOsNhHO9zUwGnDEqY0e i3+bTf6DnuUwq2E3qmRR4OQUgoppBxgHkIcAtwDaFiSERkHMKWgctfCBhweEVxp+YMBDXGXzQ7oV GQ0A70DISO1t0hPTMzJyU9My4Qg1PiE+KioKePaoiKjw4IAQP3mgtzjAi+cn58oF9mIuXcS15LGo LnZGzraGTnQKyxycHhGWqY4LXZ9jRRawLYTO1jymKcsKL2PZn2sAt/trHSMbrYOLqRlpETJmpMQh QmIXKWHAwvFl6fix9f15lh5OphImxd2WAKdUfBpUqGNKwNsYkQR0PXjEZVtyXewjg0RR/jyaEfH1 V9BD0j/85rd//v0f7Gxs2tra7t+/D5AL4Dw4OJiWkuLMYTnaWQT68E4VJKQlBiRFeSWGeaRHe0f6 iwLlTrEKp9QAt3hvTkqgAFzTSSSMJdXEQyatrqq6fh3933K/z+/+/Qdzswv5ucVJIe8+uPocarTf VLs8vjdcgmnJEE+WewC2D+a41ASaJbGI0TZIqcTwUrR1b5L9QBo4btkUyfXimfhMLrHWm9qZ4NCT zsr1MZEyiHCaQ8GhExW4Mnca1t+B4u+o5+FA5loSrHRx+joYgHTAczg8Ve3X4NYM0fK0IhT7Maui uOneVj4cio+TSVaE32DHpctr6x98cOvyRmdVaaCEZ26gp62tAQ4vWipD/Qc94TGINQE9O46jIanW SJQ5eopqiEGMtTFw0ABHCRCIWIypno6boxXHwcxWH1ftZdQWZVnvb1nuRmr0NCyywVY5Ey4pTAf8 LPrDLJeqpDMFri3uxNFM1uJpr6FK6ekkrgGFwDAh1CY6teaBS6FvRTynt9K/LlmQH+Iw1hSVG8Qk I5pV2V6jTb5V0TZNWYLJS0mtidxOP/vxDI/5itBWhYOzlqaXvX5HsYfcRsfJwWL4QsHNztS+ZOv5 UsHVRr8rZwO2WgK6YhhhRui+Q0bAxIl0L5SJJppDx84EgtE+3ho0dSFi+mJMb5V7XpBumg+hPps9 2Ro+djZgvNErJ8iwrUo+eyly6kI4oPpka0jvaRlg/syFyOlLUaN1vos1/ldrIwdjWOPp7JstCcvl /qvF8kJbckuQ5VqZ+2qp10qJZ2cQPYKCbfIwvFzhtV4VtFrsPRjJKmHhlwrArdFrtdhrOU+cbqab YoNdLfdYL/deAqeXcv86nmEuh7hYKJzJclnIF0yluubbEPoTmGPpvPEsyWplYE+oXbUAN5rCHEl3 mi5x36gP6QmyBou9LdhipkC0djpoLNm1hqs9Eme5VOC2WCKczGQPRVF7/XQGgkjdQZTZAodrjVJw uRzNZK5WSlfKReuVYgD2lXLwe5RcrZO3KvT9dLFCKp5hgKGStPV0tPGA3ZoYLaWniuaPGcm/su6A SEdPS8GPhYyekKIYrkRmiEAiGPDAnAPCW1IQS1300U4GVBGoXCIhwxd+kgwKwtBD6LoovMsdnTJT 89Izi1LS8pJSs5KTMxMSkuNj4qMiIsOCA4MCPAN8Jf4Knr/c1UvMlnBtJGxLAdOEZ2/MtdXn0MmO Fjr2xgiLigNvQ64lReJkJeEyRCyqE53k5cxuPjvYM3Gtc+xy69B8SnpSqAz8Eq2DBfQoqU2k2MrP kejvZOTHM5dxDER2ZHcHYGNwTBMclUyg6ZJ4Vvp+rmahHnZysYNCwYMDXIL2u/BHAOAD0t/8+t/f ev31jPS0q1evwh/8fxKKHz58sLy8XHf6dKCfL8uO7uvJzU4JzE8NKs4ITY/1SgwVZoQJ82LkEQo2 j0u3s7Wg080Y1mYWpvpUU32OIzM1OWlmavp7+s/A/yBTfiqns+ZPqv8m9dG1/eHuhzP8mOMVio4s 10KFeQKTVMzXaw6x7E2y7Uyyb460OaUwSuYQMtjY094mF6Ksz0faprsbiKzwcJZtg8OwKYiVLqqX vejkcGddL46uqxXBjILVA2JNSTujV/BZBZINi9gQsSEs/apQ5/o450S5hcJRL1BoW5GdOjM6fH1r 6+6dtemJmuxkNxbDgAKntVqaWt/lwPiV6fZ/fYtBHMhIrCWSzECymUiaNWIHZJQJgc+i0am64L0D fgsEHRzD0kghtONxaGZEXIbAsM7PqkpEreDotHqbnhHpnpfpz2U5zSQzuwNNp3KdxxJsOz11Z/O4 E4Wii3mCwgi2HlHHyhBfGstuK/LoKPUti2KOng0fORvVkOK8OpxdkehKwWkVp7qfy5cme1tUpAgG aqMaY9yGEkXj6dKheLfzQjMuoiWz1W/J9ZAySHbWZu1ncm73ZAym2S5VSK+e9b96LvB6c3BvgkOE CdZPF/EAYBdTLpYLJ1rCxs8FDTX6TLVFzFyMnrkUDW4wBcHkdH9CfR5n8lLERHPwaJNPdojJpWqv +fbo6QtRYNhPtYX31sqHzwfOdMTOXIoZb/BbrvXfqgsfjnUYS2PdbI1bKQ9YLpQV2JJbA63Wy2Qb ld5rpzy7/a0iyNgGFNgVAOzgmjgU7YgCez5vvUS+XChfLZRk0fSSrZHlMvl6me9Ksc/lSt86kUE2 mzSTJxhJ5oyksAfjnPJsCHB4OpUjmsqXrp8O6g53qOHjZzIc5/Nc12r8NuuD2/2oiXranaEWM9lO 03kuw/HmPX7YgWCdgVBSXyi5L0x3KNpoJt1qKddmsdBhtcIZtdgzbAczHFeqpMtl/LVKwWqFcL7E BXzaN6rFLZ6GUgxiqI15jOHKI85vJMn/r2fq/7R9cG8Dsxy8HMEgR71f4AAUTlGBeFEmgsMMSpsD dAPHAnY48OdKh3aIAHRDHNwgAfZRCx/oGgJiTUHoeoiVHqoIFFy3vOyS9Oyy9OxTGdlFmVnFYL2D Q3tCfGJ4ODDtAWFB3sG+MnBo93N39hTay1ysRRxLvoOJC0PPyYrMMsXZ6iP2hjhnC4qLlZ6YYyVy shY6msM3R95cp9bmwd7Jq50Tm81DC4npiYESu2ABnDxaRbvbhAppfmxKkJOhn6upO0tPCn7s1kRH Ux0LPbylLolvoRfgYhbqbuclcwzy5/Pd7A+//Sb4ugCFDiekbAfWhdbHhvqTqL4TB7R/7+49+IIw OjzchWPvKWYVZYblpwQWpQUUxHudSvGNDnJ1dKQ7OFhBELsyeFwbFxc7DptuQzextjIPCQpqb2+/ c/e9hw8f7tT5jZHLm1upUfgHG3/dvvIyOEDGB7wmZhnWJ7sWeFuXyC3Oh1m3x9l0xNtciGWU+Rgn O+OTWbhKd722CKtz4ZbZ7vrg24l+U4BB7LEYNrieGmLB4TOUa+zH1Hel6cC7BkhXUWqP8RzBmGAx zsaEBL5JfbRzdSwnTmquYBkk+cva6k9fubxx+9bVzcuj3ZcyY/1pbuY4KxzGHNxjwEVEyU6rXLBU hz5Arf8w2XVYKuA8DDouzRbJcUROuSB5TMSJjBc6073dmXa2RjgcFgV2Ao7LNIsJcBO70k1JuHw5 9Xwoo9HT4oxUvzPArIFHbJYbTCQxp+NZI7E2M7nc4TBaf7DRymnJeJGwv0wO1IoBBW+mq5MXbH8+ RzTdldpRLB8/G9FRFVCayO2tiYh3Z+hoa9TmBZ7N8oj3olenSQfr4s9EctvEpt0S0wEPqxZXEzdE y4tl0prvJ7MhW1pQz9fn3OzOHM5gLlXJts75AarfbIvoT2ZFm2IDlBZ7tEj3YoVksiVy4nzQcJM3 GN5zHbFz7TH9NR75YYYZgZTGfJeZ9mjA8NGz/rnBJh01ivnOuJn2mImLkdMXo8A9crQ5dK4zDkpN NvovVftsVAT1R1iPpjncaI5ZKQtcLnAHYG8Ltt2q979S479WLOv2swRgr5cbbMBXQhUBKyWKsRh2 MROA3XW1RLZS6LGSJ8yh6SZbIUunxEDCw0noWpnvGbHxSSZ2PIc/nModz3KdSHUtdCAMJ3OmMgWT OeLlct+OAMsGvs58BnBfzkvFbgsF3P5w/U4f7FCE7nCk/nA4eSyGPJtqvJBmuphhvppLXwY8P2kz lm7ZEW1yykv3UirjeoN0PI3Rl2K/VAYVAqrzV8oFswXclXLXyzXiNm8jLyziquSTf5J4vqMPLCgo qqN8i9LqViE5OL+BJY8SLDooyAN6A80CVxTklWQ76v0CDpBg1eNRPActANgOOE8nI3QKYq2LWJMR hSsvN/tUVm75yfyKk3nlmSdLMjLzwKc9KTklJioKrPawIL+wQEW4vzRI4RrkwfERO8jdrGXO5hJH I56tvrMFgW2MBXhnW1I4dD2pE10MgWPKt6H4cp0vtAx3A7CPbrYOLCSkJobJ7KJktlEiRrzULlJk 4csmB3KN/d3MvDiGUhsixwxH04e1RnKj6fm7mkZ42nlK2cH+fDdnywNvvAHnpODr8uwf/+zEZoNN /o0w+/XETz/5dHJiIj8nRyp0E7vZJ4SKshM8MpO8IkKFYjGbx2OK3OwjvdgyEdPNjSkTs8O8Xbzk ztbWVBsrUx93SU1F+fraOvDqX69ZlXL/wWdVZVl9DX/cvvXy9sdqJ+PU6PrHa+P47SmufZlu7UnM 8zGMKn9qJo+U5KhzSqR7KdzyQqRljruRxBIDpx662ujXNxxwpTYlhHIM/blG4FPtZIaDTZmRklUG Fh0lljGIPkbbHKclpJKyZebNyc7lUaxgnqGcZZoWrOi/ePHee7dv3VqfmzlfUxqkEBpYUzQNtDDG KFGDHjsaI4jJF0FVLSgLFVMNUK86i/xB4bwpAetnhuSykVIeUiXGFjhhRMbElEDn7Gghh2mMAydR OCmjEBRiu9QIsbvQ1kofdzqE3p3MbAuin3bCdyqoDY74NplBh4/5eLjtZJrDXCFvKILe62+8cEo0 Xiidbw7uKPUwgo8ULEj9JfKuUsXg2djak+L28tCmk4qqVNlYU1KSlx0B0cxNkp/N9kn1ZVUkS/vq 4s9GuXVIaIPuVsMe1q1cEz5WS25n0JAld7fXpZmbna/Lv96ZDmflAOxXz/qBxX6jLXQg1TGaigs2 QGQk7ViRXkel++zFmKmWsJEm/9lL0fOd8fMdCYO1vkXhxhmBuk0F/NmO+MkLkePng3JDTdtP+8x3 J852xE63g2EfM1DvM9YSNt+VCGGiMXCx2me9PLA/gjEOFntzzHKp/3KRPN+WfM7f+mZDwNXaoKUi 905/ywgStkGuf7nCc6MicKXIcyyWXcLEL+Q6LxdJFvPdl3IF+Va6SZbIbAFvJl86mQMcjs85iXGm HQ7Y8v5Uznimy2Qit4xFmE7nrhaIV/IFKwX8kTCTPh+dqRj9yQTDyUSDyQS92TTqWi59Lc/6cglz s5S5WcZcKbSdTLVsj6RWeuqlcvH+dMSZjLFQfuxz0sfszln3qTTr/hS7xVOChWKXpVLXpTLeYjEP 2Ji1StElX2MFFuFhES54BSi9wnaQ8CcWQfFZidjg0wJgDmemAOYQt1QmApKjxjkY86o8oAKUHx9Z kdDPS1ESHox5+KpFCe+A9sCuowQ7BQFS158nLMgtzy2oyi+qzi86nZtffjK7MCMdNdrjYsCJOyw0 OCA40DvUXxai4IV6cQNkbA8eQ8KmSpgmIjt98ON1MdPhmJPYVvrgCSNypAlZ5iKWEY+h68t1bWsZ 7Rq/BuenrQOLcUnx4RK7OHf7KCkjTm4TLaEFsHVDXc2C+RbezkZcGp5ugDfXI7Et9BQckygPG185 O8hPIHRhHHjjdYB0MNcB2+EPBWA0tRQennW1pzcvb/5di3oHkFdXV05XVft7e/CcrMRCe7ncOTBQ GBgg8FW4Bng7SSVskYjtLmH7eTn7KFxiQkQF0YIEL3sJx1LMZcOh8uTEJPzZgZ3adiJAA83OLuQm Hvr86gvbn6iVZe93MD02WuU/Crvgk261YYw8qX6qs06xiAKeYJdiGfnuxu7WOqZ4DEkLJY0tcRhn I7zcmpgspaf52rnY6ZsQMSowB7cQCEC56GtrwXv0ohtVBdmPlHo1ZAi92LoiG2pqZPBwd/f771+/ cXO261JhZoLg/5H33nFtpGm66P/3/rFndyfvdLeNJ/TMzk5P7m4bJIEAEQQCBYIEAiWQQBEkFBCI JAkBQhGUQCSRM5jsbKKNbWxMTsYBcMLu6d6dnT0zp+8r1M142t1zevrO3bPn3Pp9Xf1VqaQqU+/3 1FPP94YMKgqLOB1yBhEKvn+fIjYMBABtAHCYcISZVl+DwQKb0OAw9NGRPnj/3FHj8z/53I++8k6g 3L7ZLuBj0PmkD3sRYKtoTx6tnhvUkI7oFAb1S9AtGYGS2NBGg8BRJkyjESCuAVSlsLCQ3GyGWy8A sS45OmhIR11shLm8tO4U/+F09HAa+lpp0u1Kxt3y5HkDddHJW9DRLktxCybWvF0405V/pSufHI1h kUKnPdK+KuGER9NXJb3arRurz282CGZ7DfZ8VgjK36EXj7kLHAVp3Tb5tWHrSAX3ijjhek7iDVni BAfHQwVkU8IGHLKc1MgEEvHiUOOTSfsNZ+p2jwQY+z5Mno4XX7PSKwiBhZHInNAAoyhiskcOWsrd 87qbI4VAxdenzeuTlvmB/BZdrLMocriJvzJpvHu+fHFU4waHkL68jSkLgP/yZf3K5crrg/kL5zSr k8a1KcOdocLtXtXDLvU1HXWhiv54pGy7rWDbI2+gYUYKEx4PFTzoLdxqkk4VJZSBFCOO2G2X73YU bnrkt/QsTwp61ZW2VidYrhVuu/nNlHBLHBKcG9ebZHfdOTutiiFhVE0SYqWOu2RP23QxlysTxwWo 22XRi5VRSybcXVP0mi1220narSU9aibvtyUftKc8akvdbqTecZIv6Qgdcmw1NywvEcUJD4jzR4Sd QQT6IwMDkMFHk/7oQKRdiX82Ir9rTZ41JW02CzaaM9Zb0nc6+ADyAOy7nUIQdqQoJAeJhOhE4CRg gf+n8naY5fTS76MQJK/YcqTGwJqCQVLCvYK5t4FmDiQc1iDFhHk5PKB64tEaWLo31PSIsQMbhCNT wpEgoVAjkAVcQb27rba+s6auC+C9pq6txtXgsNVZrXYThCyVlZWqizTFedpCmUYp1Co4Kgkzh0cR 0WNEKdGC5HAeOZhNQIFnNScew4rDgAIvoMdyqREsYpCKk3nl0h2QYqbvPLpwc91k1ZdKUvQ5qWVZ yaaclIrsuEJGmJYHMfsxVGIwIdyrwGTGexWYcllqkYypLRKxUog/+eEPAc//FHz05omf/vhtNp2Q J2Nx0milWvXly1eePX12jLR/ufPRR/965/adenctP5NNo5Ky+ckFKoFaI1ap+Ap5pkLKkeWwjSp2 dyWnuYLn1gldmuxyaZo6K0XETJQJeT2dHeAhCdL6q2d5fvhhgzNrd/prH//HqbOtfqz4X9zuK77o ErQWgN9LdHcu/mI5ZaIs0ZGFFSWERAch0P5eop4QguDg0AALWdRQZlwwIx6TiEVFBSEgthS8UsGL FULJYpEBaZFIuzB+1JA+5ZGerZfnZyVkJGJaqnMXr/XvrE/cvd440qWUZxGiQ98Pef/9oDMIiDz9 xA/wCHOhD5AOMA78HFg6dGDTh+Q+iv5liPqx6/hXhvHPfBHwOyIEvJ5QGO+fAkH0DyAEBMC14UOD 8CGBlIjQm93FPcqYNh5iSBpyLi+4JxudhQ+p1mTU6LMy00lBQSDFIDDhwVxalDU3sVKRDArehSrW UhP3iiZpiIu5oaNekmDnNJQbpSkrBta10uQ7Nt4NXeqMNnEHxI2evFsDRZc6C0lRocmxIYN2cY9d drmjvMcmu9Cuu+Apaa3kz/Ya7fnpwagAW0X2sDuvupjZ5VLMnbUMl3MncxLnZeSbSsp5bowQ5S+j RAy5cnNSo+IB2Ic9jyedN5303T7p0/Gi/bGiJ+fUU8ZUXSyqEIuUhQQYhJFT/cq1SePSxfKbI8Wr Vyo3pqyrV603z6rayvE1xZGjzYLVadPyJT1Q+jp1zJWB/K2Z6o0rxtWrBsDz+SHVnQula9OmtSnz 4nDJVk/+/Y6C2VLynWra06HSrRbVdpPUk4oZzo87OKva7VKtN4hnSxLLMYH9ovANT85qa/5mk2LR lNGUGrzqZEISmKVa4X2PuDUJa4xGggPkjkeyXsfbcqfNF0VOKdFr1pgVU8RSJXrFGL5RFb1tIz6o TdxrTjpoSdprIu/Uxi1aCZdLsd3S8Oo0jDIxCPIqJGIC8IiAyPcRoWcQIf5IH8EA2/O5M/neEyFE yJwTszcoWjAnzppT1j1eYN9sYe+287daeEDdQYq5lB8NwA6MHdQYOhJJC/Ja7/+R2A6Y7KXZwMOP pk1h3hM4OcgpSYDk4PMc7p0JhebtR6LIEajEcFR8KCoxBJUc5u0nYFBkDIoCHdgfhkqJQKUCqmO9 2F7EFzU1dDY09dbWddU1dDvdbVVVLpPJDokFIBC1TFem1RSXFudrCmTgNFgiS8/Ppst45CwGTpAU wadE8BJDPgH2hHBOfISMk5STQc5iRrPjgwp5gqmptdml/dnFRxdvrFut+vKcVL2MppekWiD+UUzU sMN1WXE0SlhIcGA4JpQaGyFlxOoV1OLcNE2BgE2PA65+jOrQgZnTqFBUlVHe6C6qc+aXqnlyCTON lqiQSkaGhh8+fPAq3v6FPvjP3NvZ6e3pkWSLwD1ewE8tLBBoNeKiQlFlPtdZkGFXcSrknDIZx67K 9GiF3cbsRjW7QZ2uyU6S8Vlul31xcfH3nyaf+fff/3H0bPu5tu98/Ae/ia6TzPh3xlzirlJGv4Y6 aWZeMqU25sbmJITAvYPJoCjweEEjGbhAATkMZtzg8UcMQ0UGIiC0GZ7FseAVAwoMxAgjETwc0iYi jhs5A+Z0a358NiOKERcipARX5ZEbqzjGErokDU+NC4mJDAj0P4MCRnSEnsfGDwz8GM9hUAA596H6 ZzD2y2zCgwDw/2+y+Mg5zIjhgVEkImqoaCMltEGQaEmPowb5l2allyu4wuSwm33qEV18TzZyIj9s siR8WBGmiAttLE/rq+bnZJLQQd6cDBGhgQpWeL2GolcksHCBl6vS17slV0qSLkpxS1XMSUX0rUra XUh1YmOv1bIf9uQvGJmL1pRHI6r1TuX17pJeiyQCE0wmhLZbczqqpVc6K/pc8stdZeebNa0m0eyA qVqZFowMqC4Xj9Sp7CWsLmfu3GDVWAV/Rk6+qUi6nU+9zI2VBPpLkyLP1uTKUqMSScTzQ56n067b NczdXtnTiZL9ieLH59TXrIxKUqA6GpJFBFRmRU4PKDenzMuXK2+NqdeuGDanretT1lvDhe0V+FpN 5EirYG3WAuR86ZymXgPAnrc1V7UxaVq5aliZNNwYKQBHRyD5m9OWpZHijc7c3Zb86dKEO3b6wZB2 tTF3syG7mYoZVJC22qWQ1AW8Ga+XUivCA/vFEVvg1t6ev+GRL1m4LSkha+BA3iK+1yDZreNeEIYN c1HrNtK6hbBiwK6Ywtes2C0bfgPUlRrio4aE/WbA8/htV9zNyphzBeFtWRhDcoiSEJQZjUrGBBAC EeEA42cQwf5IdIAXzMHe4MUQLBkaGB6sYQ+YHzTYhMdyuTDiUb/wtiVx1kRd9WRutGVugxTTkrkB cr0n/X6n4GJ+tDwQyUd5GwuJ5KC9mSXg68fm/Texxv8KPwIwDgPf5+4CVBwkd8IRP4c5UABzSoQX zBOO1uABnhQZBI0cFkQJQ6di0clYNCRaTI6AflByRBAlMig1KjA1CpUSjaJiUcVZ4uamnqaWfk/L YHPb2XpPj9XmrjTZjKaqykpwfSxVawo1hXmFyqwCKTs/m5ErTJZkQEx9LMwSClKjMhNDmbEoFgnN ig/LiI+Q85Jy+GQxC8dNDFaLsqenNuaWnlxfPrh8a7OqSm9QsMpltBJuXHUuvVpO1vGwysxoEj4k LBwTjYvMTI4tz0kuyWcCqkv4qYDq4KkO6Rl92P7Oj9/ms6ktddrmRrWzWumwKK1Gqd0orzHnOUx5 3PQkXia7rbVtbXXtL0jir6L9H/7wx+fPD6/NzeUrc5MpJA6bopWz63SS6iJRhZJnVGZacjlOJae+ kNOuzZyw8qfqsi7XiS415dRqOUJWgkVfcW129vmz5/CbS3fvdLh++fHv37jQd5JJ+smFWsn1hpyb DaJ+HSWXFh4fFkhCIGCGFCJJ2dEoETmUSw5NiQmMDYHQUQQGZohQXl9WSPYCffBgzIgNrhaS+srS u/RMyC7IpoTSYhFSeqQ0LSItMZCIDcGEgjB+Bgl+i2cguctnjR0QHjg2DCWYMPUNKNgEnP8y5Px1 U4dv+Ybn6x/9tXvgQjNCkCIMMtI/IDsubDAvdiYndDQ/bm3UeK1fzycFtLuKBtv1lXLy8nn3FVvG iBIzqcXNVUSdL4oqSAjuqGT0WTkyfhwa4mUhGis8qJgf1aChVuYmpcehp12CRY/kYiF1XBBx15EJ WQpvVqWteCSbNZmbLYKtNtltY/ptM3VvKH+lUT7iyG2syI4MC8FHB9freT0OxVRv5aA772q3fqJJ 3WaRzAxarXkM0NhtZTnjjcUuDae/Jv/agGWsnDejoN5WptzOT73Iw4sD/XMokQMOhYIRlUAijJ9t fDpTd9NJ2+nJOZxQH4ypH49rrlcxTfGB2hhkbliAQYSdHVQBsK9c0i9MaNcmDZuz1o3JqoXhko5K kluLHWsVrM9YVi4Zlsd1DVrC5KBqZ656Y9q6MmVYmTbOjxXfvlC6MWvdmqm6O1q80pqzWiudVlNu VtEhaGilXrEFwJ4SOqQgPehRbrUpAfYXKhiVYYF94jDwY99pU+40StZs6WPZweuO+C1n/HoVftkY uWwIWzVhlvQhG9ao+zXEh3Vx+3Wk/TpAcsItI+58YUQTH56/QTnYQAY43QUjcIEQ1ImI8EeGQegc tCOBBVDXh+Sw9gH4MZcA2wNuAGtoYJww9V3Kjzg4m71gJU8bKBut/PUW9rqHvdaUsQUae2vGbqfg SmFsXhBSBC0QyYT8aYHITMiSd8T8P2vuf60V/hc7HpwYQWYH0u5TyL1qTPiRTg7ToOEoAHZKBLzD BgGG03DoVFwINSY0KQaTHIOhE8JYxDAmKYxGwDCIGFosQEoIPSaYjkMzYoLo0WiNROYD9pa2obaO keb2QbvbY7PV2qph/hTyPup1OnW5plhXJC/JzSwUpymFKbLMhLzMeEiZouAQshhRXHJwJjk0nRyW SQlXCCgSbnwOC8dPDNGKxNdnt6+tPr++8vzK7R2b3WjMT5elx4kSwmuVdFdhqlqAy0iJjCNE4gnR ZDKhMCupTJWmLhTIRLT3fvmz73zjW7+BTKr//JN/+ua33v6en7lcPjxQ3dKkdTtUDnOuQSu2lcs8 NnWTU91eV9rkLDFXSmkpBBo1obKiYmpy8vHB4y/ptQhu8JCV3Wm3c9PofCa5QMyoKha6tVmNakF9 IbddkzFcyZmwQMuYquUv9ORNtSkm6qWOQpaMk1BaqBgfHbl0adJTHf3xB9851+vHSXznTn/hpXpx VV4ykxhJDg1OQaPYkSgeDiVKCM5ICE2ORkWjUT7RG4AX/F6wQQg8GkUJDcoihpj4BIuYpBPEKNKi mHFoPLxexSD5VBTk5IHkJ96kLmDZR8YN3c9dYPjAyIJ2rLp4R9PnHvoldsKvwUUCAfvKC1wsXCr4 KBJRyLO80BYyknYmoJiGm3NkXMsLHSuIWxwy3BirUlKDJ7osM1c6LcWsxfHaSVfGBW30nDn+upUw Y4jTpYadrxNeaBDlCuKAsYMUQ8aHlEuIDdpUYwGdTURPunjr3crpMtpSTebhnOX+QN4dM/OuJWPL wdtqk9zrzF80s2+ZqY8v67bOaked+fXlEiwmhBAR3FAhHHSrpvpNQ+78qe7KCx5th1U2O+yw5MOc 9pnqMsloQ3FNKbe/Nn9uwDpaLrympAGw38mnXeJ7gT2XhjvXWCJn4EgkwsSQ5/GM+0YNY6s76+lY wd5I4f6Yes5CqyShSmOQyvAAkxA7N1QALB2A/ea4ZnXKtDlj3ZyqWhjVtBvi6rTRE20iwO2Vy4al 87r6UuLk2aKda86taevqpAnazdGSuxd13mfBjOXuSPFSq3TZnTOtpdyyMu73FK415W43ZTcmhw4r 4g76Cx72FO+2yG6XJ9XEBo5Lgnfq07YbGVsO0qYlcssctmEN37Rj7ztiduzY3RrcQ3fclp2wZIya 1WEGpUE1bJQmEZUViUqFWTkIWoc4RwBV7ww+EnvkYQWcwUcbfBoLmIcPzH2GB5Dusz1Yg/18ZgFn 1RJuxJOR7NvWRMgts94iWG9KX2uEbGP8jWaYPOXutvMmi/EFEGIDwH6ktGcEevV2aOlHJ/rfCNt9 gxXW3vDoow1IDAWD0Zuv7yhxDRnrVc7BOxEgHV7qoQ+eLQlHMgs5IjAhEk2JDk6JCaWTwtITIiDz YXpiNCcZl5kck5kSy0+J5SXHZiTHsCEzITkqPRHLjo9gkMIA51kEjC43z9Pc19Q80NYx1tV7vrNv 3O1pd9WCI0mdw+msrrJCivYqU4W5okivFmvyuEUyliqbViROLc5OLhImKjnEHHqUhI7jp0TykiLz BFSFIEmcjudRMOUS2bXZresrz26uPb96Z9fpspRKU8UpMUoqvqmU7dCk53IImamElGRSKi1ByKEW K1hlJaJ8adrpX/3im//wNUjlNDI80t3Zxc/IoCTEagv41WZFU12Jp05TbZY6DdIGa0GTQ1tvK26y F3lcxWaD1GTKdTmLuBmUVDIeMiL0dHXd2975wx/+TBJ/lbR/pv/Bbz/o6e6Ri7Nz+YwSYYqrgNNd mTVkEY1b+GPmzGET56wp46wpc7RaeK1NsXmu4v5U1WiDQsomZDLoBdnI//7izdEuPzrpZ60WoUqU kk6JY+Ii2LhgATFIkBDCjodHbRCED/uIDYwFyAMQGRgAUZMCUli1JN6uSJQzo2h4RGoMgokPJQSj vHkhjsYIIDlgIxBvXwP+4+uAhbwO714U9WHpUQdG1uvHfGasfdEm/A5cJ/jVQPuKizclAiImGJEc gcwhoy5KQzuSkfR3z6jTyWtni+Y10ee1lPvXPfMXXFIKusVe2FRToi9IvdZVdLWaOqknLbhSFmuS 5q3JuhTMoD1zyMXLFSWhQ4IA2ONw6DIxocPCMRUysiihK/2q7cG8Gxbmozbxy4Gi+1bWRr1wySnY dGTe68h5PKpZsqTdMTP2JnTbo2UTDYUN5TmRAOzY4CZ99nB90ZXuysG6gqle40SjurNaPjfkNCrT 0Eh/qxfYtXYNr6+2aG7IPlKRNZ9LX8xLuauiTwqIYpR/UUbcfL9FQYshkAijZz17U+6FOvZWj/gx APtwweMx9byFbowP1OAhMUKAMQs7O1S4MV21cqny9rgWpHKQ0DenrAtjJW0GfL0Oe64ja3OmavWy Yfm8tqEUPzVYuDNngwM2rprWJw23xovuXjE+WGx9tNS5Nl623qpYqRHP6Sh3HWmPh3X32wo3awWd zLCLhfiDLsFDUDYc5GVj1JoRu27BrZgjN6qx95zR9xy4BzX4XRdpy0ZaMuKvFkX2ZgfbWMhCEpIb giQHeHPNgRdWOMC4zy8Lss8ddWDTtwcgHTqvIjkYiU+v80LWp+b3RQYD1ljEjtgfFNypIl8qJaw2 Zm56MtYamZutvM02wXYHd7st40oRDoBdGOhtgOecQCT7KHcQD+VN4wzG/18Q230YDgDuxfAjJAfL R8NkEHgsQ5QoRCGFBJJDg2ihgezIQCEeLYtDS6KQCZFez3OvkA6QDusjFZ0cGUjBBlKjg6l4gPRw djyWS8UJGYTsNJKEkyDnJubyKEpBUi40PkXOJUszE6VsyAkQl8UkCFJjeNRoPiWqsrC4pa3X09Lf 3jXWM3ihZ/Ccp7W7ydMMS2NjQ31tTZ3TXuu0Om06myG/slRSUSTQ5XMqCzMrVOk6Bb1EmKTKJOZy 8KCri2i4QhFDwUvOTicIksJNStXNG7s3Vp/eXHs2tbhT5ahUZyeXcJMqhKngeKAvTMvhUqWZKVlQ yEPElMkzSzXi8hIRGvH+N//x65DvZWjorA94AZknJiZy5TJJFlsipFVohR5XUU+jrtFW1OwobnVp ml0lDY6iMm1WmU6i18uqqwt6mssNpSJmCj5XLnbX1NyYv+GLTv0Mkn/R5tjoeGlxUb4oTZWZYFfS Ru3iEVt2j0HQoeOPmIU32xSrQ+qVsdKF4dIbZ0vvjFaM1uapuP4v90/2Nvvhw35WlMORs6mSFFJ2 UpQwGcNOCE3EBkagvQYJqA7CCwyECG+qLiQvPtwgwjcVUtyqJAU7hkahSkRZTTZTt6ciixUOzk7g SABGAmPhrwXnr/CV10cijFPwSUg+SooO/b+w+KwaDvCe10tNPlnQKBQdH5oaG0yNRqkzwmYKcb30 wPT3A3Ip0dPNktXatIki/OKQ/lKHRog/012jGe6qrshjjLiy5lxp16qTF900SPF0uza9PDV0tCbr gkehFCWHhEJGNEQCIbhSHjfoFNrVHMjq/6AfvETy5isZ95uyX5wteeDIuGthLbsgh2H2Zpfs4aWK 5fqMFQ/v6W3Ho3n7pRZNQ4U0AhNCigluNIiHG9WTvcaz7vzJPuNYfVGnLffasAtkQwB2s0460lTm LBUM1BVND1gHy4TXlfQ7+fSlQtYVfnwW8kwJjzI3YJam4khEwvCgZ3+ybqE2badL/GRU9WhYeTBW cMOaYklEqSHBfjhMnnoZ+8aMfeWyEYB9/YpxawokdOvtseJ2I9ErxUBCyNmq1aumpQu6Rh1x6mz+ /YWGh0udDxbbt6ZtNyfUG3daXjy/8eLJtY1L5u1O5W6TeEGfsFHL3O+TbNenbTgoS5YY8B7ftGE3 qsK27dgHtXGPGin36hK3a8nrVaT5spjz+ZHtwmALHaEiIbgYRLw/IuYMEmaxQVQBswS49qE33Hdg 6T4Mh1c22Amf+hocA5bsY+OA559Lyz+9/5/zf2DsqvTwvQH+AgC7Gg/RTKvA2D2s9Wb2Rit3szVz p517tSjGy9gh02kQkg06DBqZcUTXYc05Mkh4KfiTkX3OSf4zdgGAQ9Tf+2f83zvt/573f2cCT58J QQSEoQKCAxCJ4ehMbIgoEq3EBRXFotQkVFlciJ6MKU8I1ieGlpHDyhJDICQZGDu0JG9DeVskKjkq MAWHZhFC0uLDM5KjhPRYSXqckk8phkwsuczyfLZexaks4hqhFfMqirnlRZmGwozKgvRSJbMkh5Yv SFJkJCjYcY5yXVdnb3tnX1fPUP/ZscGh8Z6+gf7+vr7e7t6ets5OT3trfVuru7nJ2uTW1dsKXGaF 3ZjjAm9wfXZVKddUmFYhT9FKklX8BPjB4hx2XjY9l58oTyc4ddrbd+4vbDxd3H56fW2nxm0yF2dW FfLsxXx7hagMHhCFfJtOWFWZXVqaYzXnVRkUYWgE6Opvf+/7Tpv9MyGlAMIbGxuD/f3aYhWblpgn YXbU6YZaDUNtlT0erduWX6kVm/U5+gpZZaWirjq/11Pe0aQ16wSaXKY8m5WTJfA0efb39r8IzF/f v3v/wcTYmFGn5tEgS3Bcf3XWpTrZbItioa/genfedAc4V2jWz5k2r1TNDhisxcRH62+6rd/DBr9b kZdWKqaqePGZ1Oi4qJAINAp8XWB0gOoCRCgahYA5jjwmziolmaVEDT+mMjett756YW52/+EjcF+8 POnJL+DGxkIdiP8M+/yic8DJYfwCqvPRSBbKO36h+YjZZ74CQA6JO0ICvO7lkZjgJJgZPcJ2WIWF BBUL41hUHBWPtsnj75ipIzwM/zRCgQ85Z2Vs1LKmjakP5xvPNxZKSUE3JmrODzj0ipSp3vKVvvzb tbSNFvaDLt7dJq4xLWy6M39hSKeWpmBgKgKJYFHC3TpOr7tAX5xZkhZ9r125PVh0x8175Ml+Maje c3PuXyg/WKh7cqHk2bT+8E7NdrvoYDj35XzVwQXjlUZNS6UyIiyUGBPcbJGMeNRXekwDNaor3Yah uqIue971YadBwTgCdtlIg86hFZytK57utQ7ohNfz6HdVjJXi9ElRogR1poyfMtVjlNJxeCJhsK9p /5JrwUXf6cp+PJz3YFCxN5Z/szrFQQmsJCHzgbELIucgYnTKunbJcHtcszlbtbvg2Zmvvzuu6TLG uUsirg6XPNsZv7/YDVpNg45wdahg/8H5D17cebo/t3u9buVc8c4t9+O1gd0Z+1orb82euGzELVtw y+bY1SocUPG9BtLT1sTHnsRHdaS1KtyMLmJUEdmYjtFR0DISKjMKkYRGEPwRUWcQ4UcKOVgjMA0A bTBOwHBg5r4+pOWBBjt9b5eA5NDxCSw+Qg5P+WOm8brY8hnzeG0ToUyPeDwovGNJuFiCW65PX21g rTWxNpvZ600Zm6DGtGRMF+MLQ5BZgd4GSM4N8vo9ph01DsyoBnqr0sAl/S8cHzC5FYkOYCVGyzPJ 2hyauQim5/gdRuF4vXzQmKFnR1SmBNewYqqSIKo33BAfqieFlhMxpYSQMmIIdNQQt4IP1gDhwUJ0 JzI1GpkKZT5wKIi7p8eiaYTQtPgILjUmKz0OahsV59AqVGyzlleanyHKoNLJsclxkRS8tzJFEjEy lRyTQYvPFdIri3hmLb+igK2RMzUSmqfadLZ/cHDw7NEyNDQ0OjI6OjY2MjoyPDTUNzjQ2dff1tfb 3NPp7mqt7mjUt7i1Tc6iBruqvlpZa86xlQkMKrZemV6mYKglqZDORavkaOQMdTbVYzHdXXq0tPNs 7f6Lm6s7Ol0Jk4KnxIYk4ZHUuIAkYkAyCUmLx7DpJGlOhttRkJqIh9IY0IpVBR999NHrSOvbc/D4 MUjokGKYSY3XKrmjPaaRbkNjbUGtLa/akmc0KAwGhc2kaHAUeOx5vQ2FHW5VVZmoSE4vkqdxWaku h+vhgy/rPwNnPJpgvW6zGHg0kooTM+qWTbYXTXeo7g7r1i8ab43px9u1zY5CtTzm/u23jCU/iI9B G9XpBeKkjFQ8KSosIggNMfCQueto7CBg/lpFjzFmk/TCGA0v1qzKHOttW7t79/D5ixcfbK+uDDTW 58Xig7w1jPxfIb6vjY3/hB0wamBEp6OQikhkFsx4fjq6fWzteFwDb8GH+uuzEzMTQmBOMxaL4YCB Ho05+AeEh6LLpGQ+E59CQA9YuCsu5jg/LPs9fzMNt9SRvd3ImatK3btZd6FWmRMbNOAp7ajXlilT 5692bF0w3alJAd/mB/3i1c4sKy/iamfR3Fm9JjctIgKqaSEh/3l1ucJtKyvJ5arToh/0FjyZNd4b kO61iF70FzzrynoxX3047zg8X/ricsXLmardOuHjgbyX06bH45VTTaWtxoKosFAKIbTTljfSqLnc ZRqsKbjSbQQA73TkgxRTCVIMKsBUKjnrVtu1wsF6zWSPbaBUeEPFWipgrhSzrwrjpagz5Xzq5Y5K KR0CluMujXXuX3EuOGkQRPlkSPmgP3dvWHWzKqUmOdAchywOB2CPujFR9nCx3aurT6gfrHYfPpra Xz17Z6yk2xTn1mBnp2o+/HDpYPsCkPkOPRF83fdXOx8BXb9oWG7l3HXFLzrJy7UpK07yhoN4v5b8 oI7yuCV1r4l6v568ZImdUkcMysOd6ZiS+ODsWBQjEgEF/mJgovMMNK+TLSA52CHcSoBxIOSA5NDx NR+k+5AcmLmPlgOYQwfW8EAHAPe1V1H9K9khQsoIezQgWK4mXyiOXqpnrXjfy1ibnvS1Jh4o7dtt mVeKYlXByCyUd/IUYpQ4QUjuEWNnHRkkEHiAeurRtf0vwnYEOx03M6hdhIDfSdP9KQPk6r8/a350 o+rZomt5UNWeF1ORHGxjxFipkZYkbBUFa0oMN1GwleQoPQVadDk5soKC1cWHAaozYsFNDkmL9oZ5 phODOQmYtIRIXkpsDjtRlUUrzWNXFPEymfHxMf4K4U9rDT8aavrhVP/3b4x8/8bw96b7vz/R9oMO +9sW9Y+l3J8lkd5NIoXLBSmGwszuBsfE6Mj4+Li6SMVPC1TmoJTioDxxoBJaNkqZhcj1tgCF6IxC eFoueE/O/42M92sp91dS7i9zuL+QcH4uyXiHTX0nJQ5tKOQYNSI9vCMUsI35aT11ro3tp9fu3CvR 6sUivFn7syHPD2+Mfm/9qt+9OW/bnPK7Nf690dYfVpX+hJH0qx+cPPXNr72ZJRR99OEXovox2n/4 4UfX5+ZYqdRfv/Nj1Onf+L/3y9O/+cX7v/7Fe7/6OTToZDKJDTZFjVlSWyl060W1JnGjMXu8Tums ENGSSBVl5W2trUwaPSkxMZVKPW40ako8kajKy3vw4P7xuaDz0b/+6+bGZnuzh59GJWH8Mad/Hob4 dWjAr1Gnf+H/m5//4ic/xyB/fP/aSbX0p+xUQn4Ok0NPIBOjY8NDo9FBUYEoyK4JKetl1IgyPl6b EV3CJdSUyifHhh/cu/fixdODg5vnRvW6PCInIRwCh8P8A3xUCiD0r6dDX2mofd6XwDURMj8DpBfH ImVRXhwATPCRN7gwGN0+cQZy7DHwwRcacnLZkGUMgY/CZMJ0LyQFAEIFMIJBVxWkSjMSkvFBFxrE 2x7OeWGY9F1/Rxp+o1+828WfM6Qsd5UMG3lCHKKuXObUi/UF7Lu3xpbHjYv1aQ96xQfDstWeLJsQ e76jYrjdUCBjR4aDwINKZyWbKlROq7ZQnqFlRz0eLHkxaXjQkHngoL1oEx125RxOm15MGp+PqV9c rDictu7W8w+GC1/OVh+cM0w1lbcavMAuTIsbba4YbNRd7LQO1BROdZvP1pZ0OPKmBx3lMq8UY9Dm 9LnVjlJhv7vkfIe5S8O/nsdcyWesFqZfhbzTiNOGLPqltgqQYpLJ8bNXeh9ess1XJ2918B6flT/o l++dzbtRRXWmBBpJyMJwf3M2aet258v9a1vX3LcmtI92zh0eXAdgvzuh7TbFN5dFz58rf7zcsT5e utjMmTHib9ni79jjb1tJi2ZwPiTteegHHeyD7ozHHeytWsotI/F8UWSrEGOihipjgjmRgUmhCFIQ RBwjIv2hQWibd7rziFF8gt7AwwHAjxt8BEjuw3C4p4DePgCHpzZ0fOYHFui70XBDYf/xA/3zTObL 7UMgICvUwwHhso1yscibxmfFTV+rZ6wDb2/MXPNk7nQAsMcUBHsFdkGQ1yuGFeh1aGcdYTsQeJhL hZTO/KPXSXiL/M/HdlQgUlPKfLlet3fNtDdveXjdfH/OvDtr2b1mfThvW+iWNchjylMiHCxiNQ1X RYuqTsYayRHG5ChDcpSJijMkA7BH6ClYbWxICnD1aC+qM6IDWXg0Jz6UT40U0WNzMxN1MOcIFJ0d n5Lw81b79x/cOPXRQ7/fH/j98cDvf+z7fXxwVHn54BSkqPqPA7/f7fl9tOv3bOnU7NnvmTU/oJLe 0alkVy+fu3jxQoGCe77rex8+O/HBzskvaH4f7LzWtvw+fO53/cpJFvnd6rIsW6W8qiLbpuPX6IVd 9bV2e42Yj54c+MHzNb/f7Z+ES/rkeqAYtK/BhR34/fu+34sNv4n2N7n0t2traj744KPPBAG9irHH fUgsEB6K+fp/+4eTb0C2gU+aH1RNguQD333T/91flqnFzkpJvSHbpeN2mYS3+jS3h8u7XYp6q0xT IgoOCoA41je+9W1Yv9r+6Zvf/Me/+29Ws/n1MqkQ6Prs2bMKXdm3vMWyv+s90Rve033jH996/5cn bgyfzOG+L8ikZ3FTmclxibFRhLBgYmgQIwYtp0WqM3HFHKxaQG6qKrt9ffbZk/1nT+9tbZzzNEhF nEhCKAqLCvB6kR2NRBiAMF8JOiesgVDB5jGz8g2347F2PJb+BiPu+LeOOgDN8DzKwyErE5GFxKMw 2CNsB/4GFymgYelxUKbJmzE1OQpRW0zmU9FQFyoeFy5OIwZ6Pc1hFgkRExXW78oBXykWOXK8PnvL w74kjlC86+9k4tcHocyl5KadvXu14XxdcXFqxNrtkbuLF2rN0ruzXYu9BSueNMj193RMsdErqZXG XOy397VZlRIOFhsSiEalp1GrjYWdDYaiPEFpJuHJkOZw0ny/LvOgivrSIzjsPAL2KcvzcfXzi7oX 01Vb9fy94eKXM7aDUeN0s6HFWBgZFprDTZpoLe+v05xvN/e7Cy93mvqcxe2O/Kv99jKpV4qpKpP2 u9U2Lf9yp25+0NxVlH6jmL1mlqxWZl/hJ+Qiz1gkrKlOQw41KjEh7uJ49/3z9uuQlraV93hICeXe 9gYUC/ZUd2qgKR6pijhjlsTvrPY937u6OedaPqfdnXfdg7nRc5o7rdxZW/y8BXfTHLVgwd2xENZr KA9a2XtdgoMewUEnZ7eRAdUlpipIZ5XR7gyMOi5IgAlMDkZBcmNQ9rBIBDirwKQnNMgjATYDVNwn ksPj2CeVA4YDDwcr8nFyH4wDaB8rbK9b1Ot7/txAvuoWApGTGrY/KFxykM+XxN6t5azWMdeBtNfT Nps525AHrJkzrSEUhSKFwCsA2FFed0fAcwbSO4WaCcpMoJexA4eHnZSjZ9D/FNtBJITLBdesoMBA NPwHr3z/LxYA9tJS+tNl94NZgHTL/VnLg6MGnb3r1oVOqVsaraF6GXt1Cs4KjRJpIWNNlEhjEtac gjNTY8rJ0UDddbEYL7BDBTqg67ggJiEEAvbFjJjcjATIc6LLz0iJRxuLv/949dQfoVjb3lHdByj9 ALlkfYXboPNqg4/2Tv2Pg1N/+N2phSunwDF4avLi9PRkSb4AEPjj3/p5y0Z8+Qan+ODU3Wk/DvV0 vUVea82vtcobbVJDiYDPiG6q/t6H9079jyenPn706W/6rgq+ddx853rkPey3uyd7677PTSNW2xp2 du7927/92zGMf6YDCnxbSwuAKjhD/iku9dPqeIC3UC9PKqK7rfJmo/hCfd7ymP5svdRenFGry261 59U7izjMuBNvvAG/8JkGYVBf+/u///lP35memfnMSWETztvi8fgeBHAknBpKNX3r6ycCT59sq34r mxuem80WspPpZEIKAZuZEKagRxakY/PSo7QwKVBbvbO59uLl/v37C9OTdQY9nZoQAD7ZEC7qe9v1 2Rr6iETBGARmBWsYj9DgABiM0GAkwuLjTq9aJ3zr1U3fT/1Va0ByLxwfUSCIIYJSobxotC4B6aAh KyiQ/QAcblFQLBsOAc2lqihNKSCBFz0AOz0GaVMQ2fFoEB7pCbFlSmYQyiskwWiKjgzpsPBUomRa XHiXkbvl4U8pYvLePVPDIW6dzb3fzF3rkD2/d+HmJU8ZnzjYovfUau162fLM4FKfeq0ZgD37yah8 szfbkY3tbSxtcevlEk5kRDAAu4BHh3nzS33VpXm88kzSkxHd4bT5QT13v4b9sj3nsEv6YrbqcMry bKzo8HL5y9mqnQbB/qjm5ZR1f1g/3VLZYioExi5gEc/WawfqtOfazJDv63KXsas6f6C+aGHMWSZh BCEDOhz5t0eMzXr+reHK7UtVPSWMtQHr4dLI4ztnpyvEMv/3TFmMy20V4uToWAK+o61ua7T6miUR Snnun1Xe65FAjeYFKJtFC7LEI8sIiCZ59O2BvI2zecvt/Fs11Nu2uNtVsbdN0auW2B1nIigqe62M vQ7O/Tbeqps9a0oeLiHWCUPLqAgx1LKBSOQjb0N4mwPXcbAEsAowj2NC7sNwH6qD5fiQ3Gc8Pk7u g3H4oo+EA26DwcD6VU7+VxnMVzwYGHsKZq+Pv1RNPleCW6xNW21I225KX6+jbzVztjyc9ca0aQ0R 6oOADiNGe6UYL7Cjjqg7JBlAeWk8MHaIS4WdIBVCQiQw/r+wAMGIDgthJMRykoiiNKo8IzU5FoIF /6dPgz/9JBzqO9o3xADYdaW0Z3cdj2ZN96eNIMXcn6zYnSy/d7X84VQlAHutPEpNRQOwO2gx9lTc EbzjLSkxplRoBFMqqZJKqKRGlyWEgcYOsaIw6UaLDU4jhgmTo3I5cWopozQ/k5Zwprf+5O+fnvoY 8NMHkoCZ0Hnmrf7grbnsW0OtH9gDsH+MqB+d2rx+SpmdMDtzdXZuukQluNr/g48/8Puzp8DrOHz8 dV/nnvf370z6cVMDWhz5jY58jyvPpBWlUd6/NHDSm88Wznj8WIGvwBsEPH3gkqDBJcGm73fgGLjm /VN/fHxiauDbkUFvkAjxTlvV3Ozs4fPD1wEWMD+DzYas7JDv8XVgB6w+9dbJaIi5qy/aumJfOmdp togqczn2/My2CtFEnRJSsJYrGH5vvJKs4NOHwhFW+/3d//V/Z6SlHT73xh+9uoBvvKep6Y1ve3n+ J8D+lhfYQxAnlfyToox4yIEpz0hScuJAkFelYZWMCL2EOdbRsnd/53f/tr+5PtHToZZJY6Mi3j/9 PlSO/tN7LpgRmA2MOx+eH49NQPIvw5184/RPtvjX9ADSz0AAOKABlLQGUheEjEQjUqNDG3PwlmRE AwdpSUUmh6JY1JBIrNfnBSSXMllSOqQ/BMeAAAQvMbjfyoEarP7+AUwy3qJmhwR5gd0ruUeHjdQr i8Wp9ETsQLVktyN7Lg9f8Jsz7sy43XNFe22iuw7uUp92zCISx6FLJWlqUYpdJ9tdnl4aNq40pj/q lz4by93syqrJjpofd5zvtSkk7EhsaBA6UCnLGOk0zp61GQsEBkHCk7GK5zPWXTf3wMV50Sl73iM/ nLMfTlqejRYeXjUczjnuNYoOzulezrkORg1TrYZWUzE2HJOdSRlt0o17yi52Gsc9xduX60Zq8y+1 Fz2+2WSQ0oIQ/r21eTsXrWOuHPB9Whs19JRlPlgeeXkwf3gwP2PPl5z5jVWWDsAuIkdGxRLaO5p2 Jhw3qxJXmzh7A1BpSPywT3HTTG1iBo7J0dMFmBva8BvlkYuV0etWwnZt4m5j6gMP674nfdXFuGZI HiuK80iiTOloWaw/K9g/4XQA7gwC/FVgVhqQ/Fj99iE5rKGBkfigG9Y+JIfDfND9KhuHPjQfKP01 dvH/ybHwuOeRMQ96+Mu2pCua2CU3a7meue1hr9czNxo5m43pGw3MubKEYoyXsUvAHwaFTAMAB0EG KPoRqguOpBgvaYecAwjv/rhPCc/nXrF/gD/kd3WWyayF2eZisUElYsVD5gOvWvhFixfJjwwYrhbe PlH+/uBiC39AGB3wEIE0dGXalCcL9kdTxofThkfTxkczxgewnjUfzFnudMvrZNGa5BA7g+ikQ8Pb vIJMbBUNb6XhLTSo0UCoTI41UmMr4rDgBpzo9VoPhMgjkNZFNLxKSC2Wp7MomEs9Jz5ByGMQBsB8 cWrr5onBzrc8jreaqk+0ud86P/jm9u0THz/xgySEXrw9AuT1uVN5YvL1azPzN65rCoSfA+wAy/96 CtJbfWGDX/v41O6SH58e0N1Q0t2ssRtkfLr/jct+3rMAVvtQHdAbtJePTv3+4ckbl9/qbnqzs/HN 6XNvfnjP7+MPT338+AjefUcCt3/utzX3Vkr8LyEHexafJhULrSbzytLKqwC7trr6i5/9/Ot//w+v o7pvz1v/9Mav3nlHm8stlKRWFrAb9fKWcvGAOetWd9HBrOvftgfqzDJfbrHP+4WTMIf7jX/4x2qL 9TOCzOvADl9/8zsnEL95k574K40izV0ucpWwyrLitEJCmzn3xpW2ne0rs9faO5vzbDpmGjkw3P89 9PsBoUCJX5PQYfT5RGwYnvAptC8D6T7j/MqM3T/A64GpiEc6M4OLWMEkNEKIR9kEEVn40FYlwZ2B 6hSjnBwkVD0oEMVEhHvLcAciEDWlGfR4r+By2h+RlYQZqmJLUkICzvgLaAkeqzT4CNg/YezVYo2U mUqKqC9iQ+GeW0WkkndPN/Li718o2m8XLFSmLrhEw4WpMiK6ulBcJmfXGHMP7t/eGLeuNLIeDkgO J3LXO3j10ug7l9wXz7pyZRxsVEhQcKBKyR3uMo/22NS5XH1W/NOxsueT1l1XxoGD8bJN/Lw39/Ca 43C6+tmE9vkN9+GC515z9pOr1pcLnv0J81SbsclUAJGnGYzYIXfe0rh544Jjtkv9aM4111k001n4 7JbHLE8NCvAW2lg7b20zQDJ23VxXqUeX8XDrwgfPbz/fm5sxK6TvvWsUUme69bnUcAYpZtBj2hkq B2CHiJu9Qdm97mxg7NfNlM5M5L162p4ndbuGvGSNmyknjeTjm4V4Eys6NwnDxaOSwgPwSEixEoA+ jUBByqwAJLzEgQ34sNr3iPexbnjK+wwDOmAtYB4+qPFBN/Shc7z8bZH8b/VrYBWZCZidLv6yk3JZ iwdgX20AgT3tqKVvNqRvN6ZdL0sAKQZUdCDtAOlsH7wfaS/gbM+Dj0KQ3FBkRhiCg0XEQW24owfc 8T/8Mx1/hL+YTzUXiyry+BV5Qr2Ey4yN+uTt9DOHHm3CFQb6B0C6fhw2NAaLoRKjhQxKSgwWiIqX t8OrKAqpLkp+tuh4NG3emzM/mKy8P6m/P13xYKoCEP5uj7xBGqVODnEyiXYG4ajFVtNjquhEC51Y RSNAx5BKMKcSKxNxSZGQPh1FwQbR8ZjMpCgJO75IyhBnJsm4PwTl/M+A8dmpB4t+oMxks0/L+Vhl VoxCiM8Xx8r4YVLuabXsx90NJ55unASMBaxemwFgp8zPX7t5c15TIPozYAdM3jv1csWvp8Gvvvpk g+1ko/1ko+0EdBq86z+1xtoT+pITjAREf0tpd0t5BgM30HTqjy+OJB0fVu8eofrLUxO9J3MF/yxI C5QJYqFOZF52jCrrF8Mdpz553QDwP8b2l6d6a09I+QlOW0FBPmTuJecIORW60qtXr/rgvb217dtf /wboMD7a/Blwhp3/9K1v/eTtH7khzqq2Vi7ipSdE1hYx7l82f7jS9rudwd89moD8vV8M7Ccg6zsA +69/8csbN268+kD5XGD3e+vED/2+K+YQumuU9ZXcipzkdqt49pL92lxjd482V86Ijw+NCH0PyrCi zwSA6yMMUl97HY1hbMLIBdLlJQafZ3Wfuw+O9A38z/309Z3HkgtU+6XhEFD8t1sUeEETbhKHZuAR eRRUbzFRhMf0qimt4qDhAkxDVmBFGqbfxcRFASsH73pEixnybnoZOwC7ODl8pJovSwtH+IOnEw6e biGg2PikGGxou10CVWLpcZFNpZm7rTm3Comad0+3iBIeXSnd6xbfMTGX6uWjJSx5XLBTI61QctxW 1cHDhc1x83J96sM+0eH5/PUOvkscfWnQ1dvqyMnJjMRigoKDcqR8T4OlrdmRL+ObJElPzxsP52ru 1/IOXPSXbdmHg0Uv7jQ+n7E/HdU9X2g6XGyD2s1Prla9XGg8mLBMNZsaK/MB2LO45IvtpWvnTNsX bdd71NtXqkdqFReaVRuXa9TCJGDsHc7828OWHnvezVHb7ICxs0KwfqFu92LDdrd+Jp9mjTjTIsHP 2NOGFKGDsuCpMsK9VsEdexJoCw96Idw1C2T2W9UpTemoZlGUhYXNI4dxicGUSMjOGhAWEBB4GipJ IEDMAvIIfy7AZLjv0KADd993Q6EDm3B/fbgKa1979Z7+rSD31d887h+f7m91FmAGbCJmu1uwWpt8 WU28W8MGjX2tgbnWyFpv8sL7RgPrWlmcOsxbyhyyCoDYkhmM5KKRCVC5AFIaguN3LIqMRyYnBDFp ERQI7PEC7V96Hznt75/FTbGUZOkLhJX5WRWSTBb+LwF7dGyETMjM5iRlZSRlZybn5qSXF0sz4nDh Z/zxQQHkEGRqeLCjIu3x7er9a5b9a1WPZi3Q9q5ZQWB/fMu+1KdsVABjRztZeBeT4GASHXScnYG3 MeIsDJKVSahikYwMoolBqkiMSsEhKZDaBYdOiwsTpMbK+ZQCGZNBDpxoP5I7fMQYgPHxqRc7fgXi n/DS4iwVska7qrlGVW9TuqsUToPMqMlSSRjCdByf8cv+Jr/ffXRqb/mUSkK5dm0WsF1TkPVZYH9y auWSX1pKmKlCYqkQmcsyzVq2WcPSF9HKVUnlBZRyFaU0l6SREwpzSIaSzME2nUEnq1D+9OXDE16N xYfSsAbaf3jKU30qNRktk7Cd5oJuj6G/3dLZZE6KI/3L2981lZz49xff+0SW8X1r79R/PPXLFf6o pFhYU1PichQ6jVBZmy3MSCkpyO/u7EyjM6CM9V9A5re+80/f+to3mj3NMA+7sb7R09FRDlkRchhX ekr/dXPg+XpvhYrh92reyFekGN9jAj791te+ToyJafE0//a3v/XB++cC+4k33vyXH/3ApOF21Cjt 5VlVhTSHhqyUkeMTYsIgXMH/zJkzXtUFBq/PAn1j5ItGyl+20uMRd9wBFgFo4Jsj+6LfPD4YOsFB yORYZAjUTg1C0qIQdXkEdz6+JSdkrAxnFgdLkhFaduiwkZKTED5uovfnY6aNxM7cUAs//HI3F4+D DDXIyGBER7WIl4L2AvuZABkz+kqzskBEAIRKIeCKJCwfsAPDwWExXU6FJoeVTsG26AW7zeLbKpLu 3dPtooSD6YrHg3l3qzOWG5UjJWmy+BC7OqcsN6OuuuDgwfWl/rKlWgZUSXtxTrXZwbNnx3Q2Wdua XGJxZngkBh0cLBLxXC5La0utUiqEhF1P5mqfX6+7V8M7cNJftEmeD6sP7zS8uGp5PqZ7Pu8+nHHu ujlPLpa/vFlzcN4432lqt3gZu4AdN96sXRiqnOvTTzQW3h6xdFUrJtq0a1cayqT0EMSZ9pqSm2P2 wYai62PVNwcsQ1rGHR11uSJhWYe7owm/XRy4XInZrI55VJNwUE/edZIetWfcsSffrWVCisKdDuFu j+S2PcVECqKiAoJAwILibv6fVgX6VLaFO3J811699a/2X719/8n942v7W50XaG9aXOh2D3fdRbmq JdytZa96RZi0lXrGaiMAe/pKDW2ujKSNRAqQSAH6E2AHx5igYGRwFAqDC8QS0FgCCktCJaZExidG wd/1i64tGA2R+4iQMJRCzDIWCg15fEO+sFzKTSdB5tQvlGIIidjiPL6ITWUmEWgUfDIZL07FGxlR bh65jkt1c5LtaYl9NuHBXdf+vG3vhsPb5u17N2ywPrjlXOovaJLjSpODHCw8OAk4WAQ7PdbJItkZ cdU0EpB2M4NopsdZmIn6RFwyDpkENaNxaHZ8uNcZRkgFr2xGwk8f3jjSMXxgCPD+8tTM0EkZn1hX XdjeoG6DAHyn6gjVpc7KHLcpB1wO7JU52vwMJjlEp/rRaKufQhQ/PTN97fo1deFrjP3Jqdvn/WRi 1tUrw1OXe69MeC6P1l0ecY31mYY6dENtpYMedU+9sqNG3tNQONhW2tmgzuGTpsdOeIX9Y1SHx82H p+A5wmNGmA259ipVb4NuqMs8NugY7rVHhaH//u++c/LN77bXfPcPoLr7nlDwXfjWy1ML5/wYKWFW i6qutqS3uRRae11xeRE3Dh/x9vd/8BlUByQ/+d03jqk7kHZwbmGk0nyVTAGQnz59OnX1sqVCK+ZQ LIUMTXbC57L941+ADiA2yOnI934l4rGcDhuklIHMkF0dHW985zvHGjscBtX6woMDb8xcePxw+97u rbr63DhCKJT4ARv+5PXtiyzvi/cfk7QvPuSTT8CsgeRDVdCEVyACPoP9XpM/epr4DvVuBSBx4YGV Ulx0OIKMQ2q4wa06gqeU0FgQfclGdspDchlIHS/knIupooZPutjndLhbzqS+QqwtK/xyD5+Ihxp7 SGxIQI9LKqDDJCry/TMBKg5xuhNSY8bBM0xAj3dU5qAhlPpIosRhw3odeVopi5sS1WHI3m0Q3C2I 0797ujOb8mTW9HhQuWTLXG1SjarT5Qmhdo1Mp+TWWlT7O7PLfbqVurT9/pzD84UbnTynOLbdY2v1 OKVSHjYqPDg0OEea1VBv72yrU0j4VSr2s/m659dc9xxpBy7mC5g8HSo+XKgDjf35aNHhrPX5JcOD uownM5UvbtY+Pld5b8rV41QBsCuzaBOe0uke/VSfEdLFLF2o7XfkXe6v3JnvLBMCKzzdZs6501t6 0Zo+62QuOJIXKqM2DOE71vBHruj9Otyem7DtJM4bSWMFuGZhiD4ZOWNl3HFQF2uYD3uztlq59zuz blenWElBuZAr++gewC34//kClsEmh653cNZciVe12CU3ExwdQVdfqaeBJrMKro9u+lwZsRR7lAQs 2Cuws4OQqYFIFKB0JBIThQqPQQGw40iBCdSIuMQIr6m9tgRDUTl8cAIBE40NjsUH54rptYZCW6my UiXWybhMYoyXaX3BEo4LSWMmMpIILCqJw0jks5KKU6MaM7Bt2RQPN6UhLcmWGtdj5e/drdmft+/f AEi3H3gbgLxt/6ZjebDAkxsDwG5PB1SPtbPwjjSSgxPv4ia5BanubHqtMBWA3UxPqKTEpBzFnKbi 0OlxESIaIU+YUqxI5zPefrl+NP/4CrDPDp2U8rzA3tWk6WiEHFn5NWYo5Zxt1Ym87ohlWdayLHOp EJzeeQwiFX+6SCG+enVyZm6u5DMaO2Dsk1OLFwDYUyevDExd7p4875maqL886hqDUjKdugFPSUOV os4qr7cqmmy57e4Cs06i4L//7MEJqOzsRWYfPj859ejOCQHzXatBWmWQW3SSDlfJQJtxdKDGWJ4b cPq9ch2UV7XSEn61c/O73vnf4ycC+Mk8PcVn/USjkdS6ilvdxT3N2p4WbWtdcQw26Lvf/s6pI6cU Lw6/Ca4pJ3/xzjv//MO3j9EetJTvfOOb//Ljf54YH39VS/noww8XFhY8bldKIhEmXo+PfxXPX+0D tv/kh9+TZ9NzBODEmFhZplMqZKdOgK7+T8eHgSJEiI3Z2Vna2r5sqxYmknBREK8OblUomD/3vkf7 2pckP1/ysGOrBAMFus4PRWZivCeCBQwdIBcCNKHACic6kA4qLSwwUYtApIQHWrLC2gwJMdEBLFKg RxNztiqho4zYp42Zdya0q2G2F2HMDptqyyxhRVxv4F81EFca6cNqnFOCPd8tIRwBe2RIwHi7JisN HNe9wF7Cj5/r1aqlkMMVNHaSuSwLfSTFHDH2sHabLF9EzUyN6TJJHjZlLxXHG9473SVJAmB/0itb tkGm1oKRkvTcRIyzPLeyMMtlKtzfnF7u1cAwf9QveX7E2J3Z+O5mW3ezQyblR3qBHSORS+rqHVBz VprNrVYyn12qen7VdA9KTtSwD7sVz8/mHd6oej5pej5efHjDdjhpfNTEezZvObzueHbJ9PLeaJez ABMcBBUer3RULF90T/aaLrRBdoiqQTNv1MqZc2edLyZMFoYvWmLXzFH3reH3bZg9dywksL1XG3/X GHOxKLJDjKmgBmZD7usjr1SvEn7af6yMtmgjL7poD7pFEB2/2wUFUqkWYlABlEqB6glHt+ZzYOjo /vxvugJzhRDpY6OFznEDEcnXIHldOMSKBqJgXj4ECZOnoaut7HUn5WJhxGINODrSN0CNqWeAILPq ZqzX0q+XkcqwSGEQMjvE6xUDUgwN7QX2wChEMjM6M5OQJYSilmHxySEJ5Ejvm/CfL7AjFIMkE0Mo REwcHhNPDFUCnFo0A12tZz31FTl8Nin2L0yehmKDcuUcd1WxrUJerc81q2Uaaow9KaQxPb6GkWCj Eo2J2HY98/GS6wkguRfPvfAO2L53Cxi7Y3UwvynXK8XYmLFONqFPLxmuUg6YpOfdmiFr3kh1Xrda aASZnU7Uk7EQoJQSjQKXGE5iBGR6UWWlQAiegPHDD14FdoDEJ6de7vgpBD/isQj6EmG1XlZbndcE zirVilpTDlQNsOqE5lKBWcM1FHHMRRx9Hre/rXlycmZ27rqm8HOkmNvnTkLxuJ6u+r5uV197VW+7 qbuloq2+pKeuqKk6r0wjg/FcppFWG5XO6sJsPs1Q8KOPQV0/9oQ5It61xhO54mSrWanXivQlglZb cW+zaayvDl4bEklx+wf7//HfP+7t7utxvf0fT9/4E7AfUf0m6/eFQlptTXFLbXFno7ajQWPT5/z6 Zz/1e/PEMa4COAOM42NiA077f/fb3z7eD1oKlL3WlqihQN6r2A59qHzU3dX95re/A2T7M7z9M5vw a+A8ScKFeuyqrppCZ7kgMTbk5JGT5PGJwKcdE4KsqZEXqxjpqQlJxGhCOCYiKAiItM8nDUY9NNgE ydQ3BHzrP7fHr7gFwB6PRqogGwkeGYqCVC1eZSY0EKnCIVvTkCOlYRVcVPAZmHwPyqGEOnIjrjQk X2phxuH9MyjBY47EnorYpsKoKVPcLRuhuyy2KB1lk8bMdgvKMyJvecQz1eSdbt65cmKdEt9aw8VG B4AUgw1FXBk0K3jwPot473RAqTDx1mAlpKqIQATwk2MrCniQYB94FCzA2Jur5HkiqoCB77JIH0B+ GDXZcvr9Xkny0ynD03bhqoO71VIypuHkJWDcepVeleW0FD9av7raV7pWz3zULz48l7fp4bSrEhcu dV4dboQSWMDYgzChWZJsl8vW3ORSiHnOPNazS+bnl/W7ltSDNsHz4cLnwwWHC1XPLumfjRUc3nI8 nzY98AifzVhezIKrjOvFwfU2R0lcOErFirzWnHejNX/WxZs0kW9a4yF+c6Mat22LPqgjPPfEHTTG b9cQFy0xl0qAsIVbmUg5pGhDI4inEdGfRgCB0/gnTob+/iPljDu2RPA5v9cu2Gjh7XQJb1Ulm0iB +SFIRYg3soYEid3+hvf+K5rMl/0aIKavwRd86AlpenzFXKADE7hgzxBVjUOjwo88w+FfFoZEwFx8 mDfBHQKymMaEBMWGoAkYNDEMHRsZSowOI2HDFP8Pc+8d1Vaapf3+edO6a927vpnunulQNlRVx+k4 XcE2EkgCISEJ5ZwjygkUkITIEiJIQiiBAJGTMQaMjW0cccY54lwu56pyVXWe6elw90FVFOWq/r7u 6bn3u/K7tI6OpXMOCr+zz/M+e28l8ea49lY390AN/kpGfmtAfgus7Mj8qep2VnWrT36hg9tBRuoJ VMEMKWQngZt9TYrBklGyCpq3RlbrkyvkZRxJMQ+aTHxyaJ/9UQB2PB4tZOFlHCKfSeCwSqvt8pGe 6P6ZqWxHoN1t1HK+RIrJ/aVg58KRsF6vKZNoDDfaI/V2r1FTzSGmpaQRm2jcpdzu1U3V6w8NeZ5e Bpgnnp2LP7uQfHYu/RwJ3RPPznffnPeP+GiIK0bFSmuYIx7lRK0261b2OpR9VbIeiyjrkEH0HpbS 2rkkERktpxSqqFgTn+hS0xsqxUGPWs3/wbNLGyL2XKz7fv6Dy3nZzlfdph9aVagqQ3mdS9bk1Ybq jNGArS/mSnfYkyFTZ6O2w69OB2z752eOHT9x6tRKc33lyxr78/zVo3kyfqHXIa91i/1Ofk0V11fJ 9tqYNVZapY6iU5H1KrJaVlZlk3bFanUq2kRm859/+bmo+w9P89ymf4Hsp75kXbDB2AKGw2TTzHDn 3tk+OgUfbm/PIfeDD37RHWb+4s5Xka7QuT8EwP5h/sX9+RIRqSddP9rfODHQPDsSsOu4r+flbQQ7 APw7r74KuTBb33gDzDDrvAXa/5//2/9OIZLu3r7zEtjh4ZHDhzd9/Rvf+Pz06+ubN7/6rW8iks76 5cBaS77XN+eFa9TPro4/u7a9zqnZuBfYHTzc+ta/ejx6m00thcoIDAq+tKQIg4FwBWAOszs5Ozr8 CnLeRfj+58b6d/Glh+vr/5oFxEleig6L0AEhAg0YRkahmVvUIy1ctKMPtJd2Wgoxb6EadJTdCUG7 Bz+Z4B+ZVHCZ20ySkiODgj1x5nxYcCbOv5ThzEVZ4UpCr491asYWs5CvTnpOd4sf7bIdCHNH69lT /ZVEEpSBR1EJ6KN70zUWcK4D2LeF7MJzC5EOfwU0ZrXImPFAFb4YKZkON0oZfhDAbpNaVIwd8epH o86bAUFi29s7neL3T0Q+mLDd6oaGaE17A1ofrzTb3tDus2STzQ9vHr0xE7jZL388bflwn+f2iH57 o/j6yZmVQ+P+aiOFQiwmlniqHWPZ9Nxk1lOp66nTvH869uJY+4Mu8fNdNR8eibzYH/gQSgocan+x UP/x2dRHJ7uejFW9ONz+4mDr452+SxP+vSHpDhvueJB6KyNcTTDf6aY/6aM/GWA8HOLdyQqud/OW Wxg7nKSEButjF+gIKBFYN7cg6ZxEMBFBKtCn6WNwrQTpY5ANhPgPt26bb5ZdivOudUsfTEIrTx3U FriUEMVYmJoSBOzg37MUo8045Aorx8m/5vP9n/UcuPoDhsNEOXxvkeW1LzMFU0jHFZUBzDGFrBIM o6SIU4aT0om8EhygvhTK/CIrMUw8hk3A8sh4MbVMQi2T0shSWrmERZNz6Coeza8nr45pb6Z5h+pK rvRIIGK/M6i6DVUFBtV3QJPpFV2McMJ0tA2HduARyzpE7FBqEy4D8dSiEgoaT9lWRkMxuTi+rIQL PeTgvYR/BagCsL+AtRFGAaqkBM1nl0g5BBGLxGWXuSsVk4Op+dGh0XhHq8uoZX8CdvgU4NoWLLsw 71+0bRsOSngVoRhMQpVDE2yoTMcahroD0UZHNlx1aXf01snBdy9NPr8x82x19umFoSdnk0/Pxp+c TTw/m356NvH0XOIJQP5c+uZ83XgNPQARu4qRrRLuCJnnOhxzHa4dbY75iHO0VjcVtGUs4rCY2sGj SKloBXUN7IJSp4pWaxMEq1VqQeHhHWuTp+vyBSwAD0HQ+EU+FBu8f2nzhf15s4Ovxpq/6zX/RC8p MCmptU5ppNncE7ZFG/XplqoDu2YhYAewN9XZPwd22NSj/H+7l3/7WP61Q/nXD+ddP5SH3K8tXDu0 +erBvGsH8lZX8vZOb5Jw3uzo8Joq8Mf2voIY1OEYcof0fv6jK694rCW90drx/kCNR93krNiebpmb SHWEnGwm9fLlSznk/vJX/zY+GLp15B8+p8Y8y//wWj6P8UYwWDk5HJgba57M1mEL3thIdeAqROxv vfHTaLhayi1/fRMw/xN3OsTekFj6T1/5KlQP+GJJscU9e0CKgSesh+jwwp/84PsFb70BMsvmTzeS O03ALgrf+tnBudjj+yebGzxghlw/fayD3evV2+0Adi6dToaOnNCaE3ANv4jc1eh//+cJwIcw+2+9 ITEG5H4WoA3l6EEDJqlFap5LilE9ZlyjCTtsKj1aX3o0UZ5x4Uu3FLRYaIeykrEO1qkdplNzegF3 q1FcfGJCfmJcfSirvdAjWe2X7kmJEl5qxlN+csaacNFv7w+e75U/2+c+EuMN+DmjGTeAHeSX0hJ0 sEbmVJfnwN7ukJzbE++oNYAX0iJjJVrcoEPlwE4qK8l0OLxmCXQ/n0nUPhpy3AzwElvfnnNJX5xJ vJhy3M3Ybk8E9gd1Ph4xG2mK1Nq2Z9ue3jlzdbrtRo/48Xbri0UXVBEZreHtmxuYn+4DVwyRVIov wyc6g3dvHH327tmg19hXr3pxMf1iOXw/In0+H/x4ZfBDCOAPt763p+H5mO3ekPbBQMU7af69XuH9 NAOi8fvp8vdGeb+alb2Ylr4zJLrQxTjQSJ6wkmIygoeD01NQMnwBE43YyGGQIDL/lOQAZGB4LiMY onRAOhA+l0qGgH3LttlGyflO1oWE4N0pqC6uuztuOh8XxNlFfgA7Dq1HoY1YtLcEbcci1uv/397g ewsYh5QFNgEnKiOwcUVULAr6LNOwhSIqSc6iiqgEMRVaPBBh6AU0u1KgoZXh0ChqWbGCQxPTSKLy UjG0lOXTtRKWkkPRCKgOtVAvhOLhZTox0W8qvTqkutUtBLBfTotu98vvDMhu9ivAD3O7X3GjW3gx zOpkIGCvwiNKO8iMOgA7lLymFZZR0URaIY2NYfNKeFI8VwCXCCi4Nqay8XwJVSpjyNUMqZJKo2LY tGIBvYRNxlDJRZUW6ehAcv/89GQ6HnIZ9RwGkoyx9qMT4gvN7FKfhB7SibtsyrCa7ZKVd3bW9XQ2 djS7Wpurgo32hV3hjx/tev/O7Ad3dj69Of38+vR7l4cfnel6tsbzT9R1ZBY1Ba6Y2wv1Ez5aQIRJ wMypiZN1yQYckn6HpLcSmqlpRmp0Y/WmgUplREJrZxNEBLSqvFBDxxi5eLuEAjmnAbfCqePX2F77 w4vP2x1zbAc3OJjDISPpo/w//iLv1+9vfu/e5pvHwbv4ar3zBxrRNodR2NViHozVHNm3eOr0mdNn zr0csefIDNsBOzqoK8hYSynaeA+pRmBiv5Gnl73V1uaxVKCvndqEPH8d7C/yrx7/ZsDLmxmKTPS3 NtaaW3ymyUzbQG8LvRxX7XL/x3/8Pgf23/7mD7vnRk7OfeVzL3+c/5t7m9TCn/B4rJpqbX/S3+RR //QH390IVVgGIBPxRUNDrSGf/q0f/3DTN5DO17kBkfb/8b/8ryaDEYq9vBS0711cfAnsIMuUk8iH Dh2ikikgm78kv+d981siLnHPrkiFkv2lETuA3WZTSaWcdbD/9b/cnGLzN0Vx8OvDFxbSCMVQLszG RE078VkbTlCEVuNRO6pLOh0lO7y0lXb6SoY56i8DM0uLlXZ8XHWgh391Tndhv0UqLHBqKJd2288v VF1cqLvaD1WYVEsZRcrHHKwH+FshmfTOobaLWdV7SzWHE/xWMznSbqNQsfCDKMai3BV0aKcC+H57 y7aYS3FhTxpcByDFWCWsrhZ3KR55GsxPMenll0/N7hgMVusZ03H/g/m21XBFattbc27ph6cT7086 7/TZ7461HAgafNzSbLgpXFM1lW1/7+H1O4vJK2nR4ynLhwuVt7OKHidnZCA+PJCwWiuIZSVEMrGn u+P5s0tPnl1ocOvHmnUvTsVeHGx7JyZ/PKh/Nlt9P6u52cm4HaPfj1PvdIM2LnyxXfr+jPy9Scm7 g4JLccb+prIxa2lYjHfScCroJokrYKELqNtQ5TCgJjlMMa/l5oNBGgAOJIcFoHoO7DnhZSPS4aIM GW8jEfuFGOdcQvDOuOH2oO72qOFilzDOQSJ20NghaxJg5SlGu7BI9A6SO5zN/6YP/a//Rv1Nz4Tw IzcgwIABfws01+CTS6GngF7AUdAh3i7lE7DcUkyFRGCWirVcZgUXWhuzTFJelUroNkrNQmZJYaGQ SbKJ6S4+wSXAVXIKNRycWkryuxSZVrdDQVfy8DpBiUNNiXi5N0b0N0Fjry2+2i2+1Se53Se7CQOM Mb2y6ynxxQ5Ogg7tv9EOAtqKRZswSNAObi4spZBQXgR4L2dhmVwsVwwRO5xRUSXgGNRRjVauycrT 2/gVRiaHgdGKiTUGZsjFi/rEIZd8eCh1YPccFLDqcFv1HFrhGtjhpFxJKepQMzKVimyVur9SldJw PeLyKqvaYVFm4s3RRo9RJRoahaqbc4+uTD26OvF0dfqDW3PPL48+WYFYPfV0JQEux0enOx+fjD1e jjyGXldzvokaOkyexitYILDv66nfn6lbTNRMNFjm4jXzoLdDLwmHqh0qxvDw0HVaQy/Uc4osghKX jOQxMJpd4qBbpRFiTy3k/QlcKBvthTkmr9MV4AyiN3D+w/w//CrvNx/k3TyVV+f8jk5akm51Hz+w 7zTcznxZxJ7bDtzDROqXDtjFr/Jvn8szK7bEWqtd+rfvX96EJJau7/pF/srSt9oa1AuTybH+9sYG a9Bvjnd4fR4tpuBHY8OZddj+27//+eDS/NLkPyNnkPWXP371t7e+1huTLO7ZX+PzGCukBMw2SOFf 53Zu4buvvWYEG1Jf80S6HsCzEeygxnz1v/3Dz3704+2TUx9++OHGuP2LYAeYM2l0eM7CrgV4Ccy9 ftmOhHIpzLp+ScS+JsX8J8EOrGD+hd84/PDXf/tI/I9UwELWiBkl0I5QKy03CIq6zZi9zeXT/jI5 VMPDo2br8Gl/yb4w/3K34OIgZ6qJRC/Y1m5jnZ4yHugRrO4yXj0CKUNFTi3t/IJvoVuyN6laHTI8 mNQeHNAkvayRJt7J7fa4l3P/RPzyiPb9Iw3LCWHIWB5pddCoxXCdW1qCqjWxge0laATsEYd0ZVcq XGcBKcYgpLfW20vxOATsYGvnMn/50bVDS70+E2MqWfvw2p7VrK9n25sLLtkH57rfm6272195fyJw IGDwc4kD4aY2X+WOwchHjy48OpK6lhY9Gte9P29bzUr7qwWLs4OTowmdXoIvKYR2pR0tngM7Uwv9 DYM+0bE28TtZyTsJ2r0o+U6MeD9JfpKhPRvmPZmQPZmAOFB8JsqZr6X06LBNLKyVCM0OCplYNKMQ RYNZAOgDgkLDgI8gh+7cfa4+D9znFpC50bXgPJfFD9f/n8B8zXAOghsCxre37WyUnIswV2L8u8P6 mwPqOwD2GD/OKoLJUxdk1oAxG4cQ3oVDV4IsU4iWrW12/fP9m2j89z85B3O4okQmZdb+Ivgz4YRF x6F5JKxVJfKYNM4KhUXBt8rYSmqphEa0qAVVGqFJxrLIGSpeuVrE0cuFlgqpUUxTcvAaAcHJx7RI CqEMQiMPraGhZVxcV0fV2UOjzUaeUlBc7xUMQ9cn6NA6or2e4h7yl1xOim/1S0FXv9kvuzmguJER XUsJzrYyu2joKhzaRUBOhWBiNxYjBt1CCrqUUoSnFJKZODq/mCMt4fBhShZVCIXllRSzjeeuFgea dE672KQmTaSNx2dql4acY2Ft1KfoS7Yu7tqxe3wk4rTruYwc2OHDdVCKwmpO2izvNSt7TYouJdsN bRQM8kqTsqOxMlxra3AZxsYaP3xn9um1qcdXJx9fnXrvxs7nF4bePdL+8Gj7o+WOJ8c7oJLAo2Md D4+1PTkRWZ2tGffRg2JMUsMYcMmG3Mp+i6jbwOvScDpVrJgCUpMoYSE5LC5v4xJg8rSCXWjiF1qE OIestEZbXm/httUo/ZUKo/RnkLz/75BSCkRdn7VcZ/LGhRwwgfO/zP/jL/N2Dm4ySLHzO7ZfOH/u 7NnzzV+UYnJIB4vLXxqg+fw+/97VzXbNtnSH26l/6+G1l8F+eu83O5qNi9O949lwfYPNWalo8GmV YhKHkj8y0PL++x/l2A7zp8uH9+wd+/qfP9r8Gdgfvfqb218dTMt+85vf/ulPfz67skImEgHUG3kL sszPf/IjaFHZ09O4vbfRKmN+Jz9/o1YDSgsI6egtbzb6PTund7z77sNcT6Wl/fvBIblRigGwQ8T+ 8Ucf/emPf6r1+iCAh5B+475g+c1//XE5uWTj9mHlBo39Pwl2MRi68J8BPAdzuFYE3QODRoF6yScU wY+ukonz1rKIdByTWgZfAJ8OH60VxjykhQDpRIy1q60cqrToS1GLzYS+evyhtHJ1QnNjh3xHK52B 3gpZPKcmrUvdwjt7qq4cqlbJMbYK2pnddbt7FEtJ9e0R48PtFUeGKvqbBdtbRCcn7Ekf596J+KVh 7ftHG44m+FEboyviojOgbgCKWIIKVPKhARZUAduyBWr2ipdnYm21JugeouaU1zqNoESBFANsp9PI BxezsXaHx8CeSfru74/cimsGC9+arxQ/OZ1+vr/9zlD1venQ/hZjvYg02wsV+91zI9FfPD/99OzQ lTTvnVH5851WsEn0OhlDibqBdmfUxo5rsBO20uUQ50IH7UYH6WGC9jhNfdTNAPPhw37uapp3Mszc U0/KmouDIrSTilZj0HwUUlEEEcahyDBUyvo0CAeY52JyWICwHNZvjMOB5PCe55AO3MsNYCDEtKBU ABXhogmomFtA4LylYNIvOtfBXImy7w3rr/erbw3rz0V5XUwE7G6gExRPwyCajBODtqGRYUIjRa5g R7Cp/w9usJfcgH2BlQXauMDpCYrPrNUlQEHNNzpoRODeIaBljOJqvdhnkliVHK2YqpeVG0QEk5hs UVDNcoq9gm6Sk3DQ4G3tBl9UFrlIKymB8kE+CbZBVNimKg2JsEoyqsYpSbeZzy0PZdvsfrd8OFnZ H9Gk61mX+iAy5y55sec6Bat9UmD77QHZLbA7ZsTX0tzzYUYcInYsugrSlKBIL6hYJYgfAEtGE6kY JqdYIiOy+Vi2pJi9BvaCQpRYx+iMVfX11yzt6eqNVil4pXIh1mmiJGqElRKizSAcH+5emJ6Y7E5H HDYd+5OIHT5cBxUT1bC7TeI+q6zfIu2SM5x8Yo3X1J9uHusNDqeaku3V48O179+beXZj+vnNmec3 Z9+D+8vDUCLm6anok1PxRycjj090PD4WenQ48PhY241533gtA8DepaTF5aSknJqQ0rrktJiS0SVj dClYkHzaLiS3CkghFh5abCiZaCOvyCYucUqJPjWlwcRqdog6m7QOPXRh29Ybfe3myqY/PFtL5Afe AuEB4BBmbwT7+jLUE4AA/o/5u4bza1wGqHZ17tyF5tov0dj//X7+3TObb5x4ZfWzsWn1xKbVk2v3 xzfdvbJp/9wrKv5bmY5qh27Ll0Ts+78ZaTbu3Tkwmg17/SaHXdXo05s1RS7Dt+SC4saGwNzO2Xfu v/PHP/35+NHFAxP/9LmI/dGrv7751f647KOPfwH8v3L5MqGkBMC+rooDVPNeeQUqTfX2NQPYRzKN g+0uUGNAnNkIZHj+z3/4PZ2MoRJSaz2O4YGBa9euQbn5vG9+8yWwgwjz0UfIuebWzVtEPB4SlDZu B5Zf3bz5O6+9BhcCG9f//WC3lqOtTMTQgsAczGPbkKZa4A1jEQr1NIysuLBDT2piYXa5iD0JCZlT rJUxdyYNvQ2MRAM/U0tZClNWMuKlTr4OU2gmog+Fy8fbqMt9xjsz1of7bQsJPhe7JeoQXlusOTmu u7vPdW3ZX6HCqURlg1HVji75Ulp3e9z8ZIfxxKhhMCQbaRDOhdVdbs7do12XhzUfHK5djvO6vbz+ nloWpwzATihFNbuE1XomzKwhYHfIj+6Ih/xG0NgB7A3VVkJpCRKxQ3VHCnEq0+QySlpd4v19rntL bXfSphEcgF3waDn+fH/rwz2dL87OHu5yBlX0IzsHEq01s2Oxj5+fe/dk/+Uk551h6ZOdhtu94r1u zLEA5Uo75WGC+l4f/UWW/ryX8m4KOr7Rz4Sgei1tpJIQVmFqWKiKYpRgK3QFQrotk9bq1uaibiA2 cHtjBA7L8LvOKeRANkAcxOEwAOBA71wQm8M4kDxH7xzHvhTCCNjf3jbTKDsfZp2JMO+PaG6CujWk vRDjdrEQjd2HQ1IpEY0dpBgAO0TsayWtTGvlreDwYBd/f+i+8ThzR5vbJqyHG9JwE2wtIKYVoAhQ 4Bf6tYHfuxTDhY7J5Tgps1jNK+GTi2A9j1qsE5JknOIKMdEgKZfy8CphqQHaX8ogaKfatVStqBSa z+Z2ARdxEh6uxkXbPVEfNhG6vZRdPdpeO0WB39bWbBhNVY/FvdAlucYhG03aB5P6xXHPlSH1aoq3 r7robKcQyvbeHVTeHQJ7jPJmLwL2C2FmjIlIMQB2C9TvLUEKCADYYepaoeMEGjUdIYMc2sSL8Bxh aVERCsDOB4Wn0zzY6xmG1gxxl5hJIhZv9XtEs2lrk7G8UsvpTbXv2TW9OLM9XuezCHlQ/gXeGfgC 2CmFIRk5beBnjMJkBS8sJDm4RJdd7a5Su8xKh1Fp04r7+30fPpx/dnP62a0ZUNrfvzXz/OrIuyfD kG369Fzv41MJqBLz5GQUygs8PxO/MV8zXsdolODikHYqpyUV9LicBpBPKOjAdshOislYERG9Q0AB jZ0DFcDK0Sp6oZaPs4iIVQqSS0ers3Cb3dKuoLHFb1SKyj3mNzPhV4/ufuXF6mYo0osE8KCxA8Ch SAtAfp3quQVI838v/w8f5jV7fj6QHbxw8WLTS5mn8LRn+e+cyq82/ry1jtJRX9Zei2+rwYW8mIAb 3VKNCrpQzY6CFvc2r3mrXcuIt3ssGtS10y9r7JeXIWKvmJvuTSfrXdVaD4xKdb3zjVRgs0Za6qyS ycQsr8cxMDCRzYTP7fn655ScJ69+eOUr2ZThl79AKrTHYzHIDIIoeiPYv/f66zxOeWvIkUrVQ4O8 fYPNDDx6I3VhGVL+v/vqaw6T6OB8pL1Rr4KWeU6LVq1+LS/vla9/UssLngYR+zrYYXf9/f1gv/nG 116uWvDSWQNe+HeCHb5gdYLCBlkhdhsafIJ4LErNKKkSllTxMXEgeR3PJiaM1HEPBRn7fKWZtIzE K4HM4l0ZY1+A2dMiAV//0ST7ykjF4ZTcWFxoJ6KXw9Qdcc6xfuO9advjJcf+HrGoZEu0SnDvSPOF WdvdJc/tMwGTniDlkVJNqp1R1VKq4s5E5bMZ2+kJ61CbMl0jbrZSwzbuvd3hCwPq9w/4jiUEmVp+ d8pLoRXDD4JEQDW5xVVaJlRG2rplG/SZODTZ2ehUAdg1bHBhWUpzYC9AMaikvds766o0mWb15d0d D08M3B6tHSe+udclfHKy572ltieH+z5aPXS8299l4Z/ZM5Lt8Mz21q8eyFwCx3uK986Q+tm08Xav 6EJz8YM081KYdjxA2+2jDleSOjU4Pw+lJxSI0AUM8Kus1csqXSN5TksBVMLIkRxC4pxyAtBeRzdE 3bl57VzUjXDv08g5B6y/ErOfPfntbTsapReirNNhxl2YHBxQ3B1WX4yyEyDFFKO9ObDj0NUgxWCR vm9WyKxEI4KMca03EGhxcEh/5U5zRH3pHkICJCwAcwhU3SxAGrcVbC0o3FqAKOdg7UahiEUAcxS/ DCchF1dw8QZBKQNfoBCQqzQMk4wEDNeI8DQiDuwl0FeWRy2SCQipSFW8SS/ngXUQDz/zTNQ+EnfU GBkqDhabO1vAPmFKogzltlNTQXWzumQsyO6vJncosBoiqtYt6g7bTh0c7g9V2rTMaLMmmzYdXwhe 6leuJrn7vVgE7BnZvSFwxYCVXbnaI7oB+mGEneKgnXi0k4A2g48IBhZdgkFvI2zT2kSBJmU4qFWD 3VFYyhaUYgDsRSi2ihKJ2+fmwjsGm+JtVr2MVm9npwLS7gZxf5Ms0WQaH0gMdnV0tdft2TEWcjoK tmyBdwvAbqUWtes42WrDWH3VWINz0FVRI6FVmdVVFq3bonHbVHaTvK/X+969nc9uTL13e/b5nZ0v 7s5/cG0cqn49BZ5DMYGTUSgF9uBYO6x5cjp2ddY3Xs9oEhcnlOy0nJFQ0roU9C4lM6akdyoZUTkU AWN1IgUey0McAhcSlMoLRTB/ysRAGT2bnFilLndpWLVWUXO1qqVW1xmy11ebqi2KOgfPonq7Svd6 e92m+eFXbh3b/Ks7eX/KEf6lAB7Y/pv8w7OvNdS6rl5bDdRXfc4VA0+GzNOlPGOFeGF2as/c8OxU ajt0UOpp7ItWZyPOvnBVT2tld4s53WrtjrrD7R69quTw7k0vuWIeX/1WXTWtK9bYFa2urzUH660W rbSn7Xvb03lWPX1ksLmvt7G5yVJpVYpZb753ee1MtH4Oep5//8Q/gtHxd7/7w/17d7ksNlRfX4c2 ABbcKW///A0qhQzNNUqLUXQilkPCFL3509e+oMPnv/IKEbct1Vk9km0e7Q+kAEZc4ubPB/YI2CmU jz/+RB2C+VaLyQxB+0unkvUDWF/4e8AO3y4wlYU1JREjkby1wConVhpKk17GQCO7xYTbERXuytj9 JspMq+RCSn6gkdoSExULii06/q5ey0gbbyKl72thn+6T3p62nOjXVuKLqkmFp1PcnWnxiT79/SH9 0yXX0QG5irglWsm/fbhxZdr8zmH/9ZNNBj1JyiVlWrQLCf3uLs3qiP3ZvGNlh2u0Q5n2y2otnHY7 //Zcy6U+1fNF99FOTqqGH+v0lIMUU4CiENFBj9ypRwqyo97elvQpl8bCDQ6Ytt2mFzA6m91kInQL QXwxJCI+GrBXavlQFPfywdSTB0dX96VHCT8/XKP8xerOjw51PFtoeWd3x5kuzd5a8pkuyak2xvkw 9XKYcj3BvZoQ3B+AMraG293SbgFGSy6iFReUQUNJqCm8BbVtK2j4CAdzcM7F2EBvYDgMoHcuAs+F 3zl0fzGafQmM/7mHObzB5whvxUSd5FwUidjvQnZ8v+LOgPp8lJMDuwcKjANGAOzgaceh7WsRuxWm U6FlM6yH6H2tujgcMGzqb73BS4q2obhlGDWn1CAkKpklEhrWoWT6DZxGA48JfvJStIKJq1SUtXsU DQamRUY0SMu0ImIpBsVlEWMhW71LWueSQId6Mr4QPmIGHauTl9l17JGsv6/NImOXiJmYGo945djQ 4bmYT8dQMgHsuXMaYs3CFaP0OtK+2VC/n9fjIc92KTNVVFVZgdvGSnWYFncmwi6l1yqJBiqGuqsG wspLg+rrSc6SF3cpKbg3CK4YydU+8d1Rzd0BkGj4l6Ocbh7aBWAnoq1rVLeWIIZ5iNilGobPIwoH 9FoFhScicATEHNi5Glos7uzv881NtsfbqzxmeqxekGkUpuuFUS9/LNu6a3p019TwzvH++bEBt0yK 2boV3jQwwdtFhP5Wx0JPaDbZPBvxj9bp/fJyh0XlsuncFrXTorIaZZke7wcP5sEPA5On984Nrx7v u7w/fO9Y29PTIMUg49Hx9neXWx8shx4ea78245usZ7SIiqDwV1rJSCmZibUBJWIghu+SlyN4VzAj 0vIQr4xWCtVvCvkUjIKBg1OtmkdUC6hmNQc6R1dbFa5KdV21rrnOAp28OgIOv8tU69a11un8Tq5e XlQh/pdIQ97tE3lQg/1zcTtI7lAE8syrNdXyU2cuhJpcR3duKNu7BnbIPHWYBUf2Tx7eO7h7R9fM cGAc6lx12gci1t6wsbfN2Ntqam82B5vtHUimLnWy7/M+9qf5f3i8udry0zq/tSdV0xZyRFpddqN4 buC1XYMAdlp/TwNklfb1BVqC0Kr6h79+nPfZxQUc3gf5J2a/tntuHAR26ML6o+//4Otf+Vz1dWA7 tL3+dv6rMGG6+Rvfgocwvji7CgSG9VCh3WGRT2Sbtw827t7eWm0RfhHskOX0m19/5p+5cuVKwdtb /vH/+r/XGf6lCy+BnUEnk0qLizC5X/xf/I3C9wq7JnUqy9DZKvKgm1LDL2z389saeX2N3P5GZqSy eLFHdWDEG6ykzbcJIVH9aBszkJAWi0psZvGBMc9MUjqbtQ61C84NqO7POk8Pm92lRbXkwrM93J3d 0qMpJdj83j9ac2pMY6C8Havk3zocOD1def9w3YUDtTptmYxH6m3V7uk274pV3BiufLboWZl1T0SU PXWyRisnpKdfGq291KN4b8GxHONEXJzWNjeTVYaAnYAKuWVuPQfptAGuGKdk92BLXZWyFLW1rVpx 7tgIgwaebgTsFDJAo1ojoy/OxG6fGn52uvdW1r4g2XqySbC603mlh385zlztld7Nim92M1ZaS0+1 EPb7S8YMRYeayi/HOeCCezxRcSMljFHRVeB2gygUpKo19L1EP0DMl46/+O7/1/1Hjm5wPAVvF4zW Cs9FmWejzPvDqtV+xc2sGpSZJKuorgQxw4DGbsKhQZYBsCMNPdHoqjWwQ9wOA8CuW2M7nJL+1huc RblkqKJmGIvahtv0bXZ2h5M32mbsD2iSNVLwnFPJ2Cot3aUpS7eZOryKah3DpaO6tFQqvqDOI0uF 7VPDDfMTjamArgwC9gI0nYpViPCmCtrkoD/bapJzSsXsEo+Df2gxenC6w62my5nFa37eT460CIPS qAgTfa6IjTQcZC/0avqrKJqygppKTm/Uunu6q7NWa1KWx9t1QxnHvu31V4e1V7uYe12YC0nB7UHJ 3SHJrWHpO5Oa+8NyaPx3KcpJ8tDOUrSDiDaXoLVQpxc6ixWhUYQCsYZaUyOItGhVsjKOGKQYAkgx qCIUS0VpbbekUq6JoeZQg55HJ5i11IVB91zKAnVd5sciCzvGRvu6985PHdwxWaupyIEdkj5s5ZiA nJIwilIGYVrDA95W8YjAc2C7w6pyWdSVZkWTSz7VqJiuV466pYM2YbeWlfXw7i63AtihJPsTaIp3 qvPRqcjDk0jEfn2uZgLADpOna1RPqZhJBS2posfVLCB8XEnvUrEgbo+KylvZREjmIhUV0nBYemmx lUuGlrvj2RqTga1Ti5x2tdep9Vfr672GRp8x0mgdSLrjHa7ONncy4klGfalOX0ONgc/cujgKfZQ2 CO9r5Hx2GWR2/uGjK+0tni8Fu93A279neO9sz47h1tFuX1/Ungrpk4GKRLMq3qj2uzUOp7bebw6H HBYD9NpbyzzdqPx8lJ9u3+RxygDgiXhtT7yuzik5sStv31SeSUtJpxu6uxsyvU36CsFo4jv/8fGG avBweB9uGk9/B6R1mO70ut1QzvElA3mO2C/5Er+UvTDdCcCX8cp2jTfPTzTDGcpjEQHtNz4Z7OsQ /0O/7F/+4hdQWwbUGGiZ1NUZA6PjFxNUN75wI9glUg6LTuaXFuP/MtgBBQjVC1A2Gt5ILvZxcNMN nIVm9oSjfHvCkgmrRoOC4RC/x4tfHjOemm9u9zL3JzW3tztOxIRt/YYSBdFuU81mfVNJ7fyIdyKu vDha8WDBc27U5iwraiQXXuoTLmRVy3ElFEj54GjtyrgWwN5ZKVw93Hpyu+vh0eDlg41mQ7mUQ+oN GRcz9oW49sao/b0l39ldvuEORbpW3Ghh9oVsD06NXuiWPttpXI6y2x2sQNDOZBOB1wxyUcSnrNKx cIWogre2DAXM906NtfoqSOitnc0VF1emGbQyuD7HgvJJxo+EzEkn+0CX/PKgAXorXO2gXmwjQ6+3 S53U8xHK8XbarkZyxlrSIMRoCYW8kkIyrpCMLeg1l60m+Xey0scTyhspUYqBjlPQrhJEEs+B9G9F 33/58186DPhAt20pGPTyznYwVtro94aV1/ukYIwBZSbBKfIBzEsQjR0BOx4J2iuLkKAdOgRBAzjT GtiB6tq17m+yNQXpfxAWbPh7gOplpRifgRGvU6WbKjq9Up+a1FTJGuswDId0LRYuAWZsPbKlHe2R at5wwnJyf3owao83SGM+sZCO60s4Mh36HVlPX7vRZ2ZT8Bg4JxNL0RIOTqcqH+xxjkXt4FQUsXBe B2/vXMfhmWiNgSVjQqLGpwcBs0KYAo9bMNnn7TCTIA8iVUWKqbGQEeAyM1t80u2jobFotUZY2tlW kQ7r9o37rgyCFMPZ78Gei/Ou94tuZ0V3hiR3R+R3ByS3egVXO9lpLrqqGF1FQDR28DoacWDuRUO1 a4WBFQwoWwNqsbiYI8Fz+PA7gwJIKJaSHIu7UwnPSF+j2ciGE5NcWhZwsn1akltHTkX8E33poZ6u fQvTu0aGHFIJpCPBRwZSjJOJSXkqZhONC5mWxVQwpebaWCUgvzjNGqdZ6bYonWa1R8wMMwszckpa Rk+J6TEOqcfKuL8ShbTTJ0iOUvJxLkHpbNez88mrs/6JenpIiulSUVPQa0PBSMKANnkV3LiKE1Oy OqEOmIQWFpYHWQQ4iUPSLgXAXoZX0khhHzSt1tFKXxUyf1yhFPo95mCDDSL2Bp9xOOy9eXF2bjbS AlF0yJmM+eaGW1cO9k4OBSScN96/8vl8/w/yn17Kr3ULjp041xHyHt3YaOPTiN1u5O3fPbRvvmd2 tG0i4xuIVfa2m3patZkWXaRB7XSoHM6KxhpTtNXRDKYX41sfPPh8rRjIhL2wyaDa0hJ0ZjJNPckG fxXv2rHNRxbyLLoymPHs7W0OtlQrBG8+OL/5c9lJj6BWzGa97PWaau/87DxU9Punf/zqSygGsf0v jY3gzS0D/zHb3ti1I33z+vLta7urq4QvnRGQqP7736FT8VqNYnx05N7du7/77e/AJKmUK6Cjx0u7 3rj9HNirq/VWmwqapvIYZB25mAKRRC62XCtgC+Jn7iF4FZkE5OoVvIK1AkItr7hZjp8LCQ5Hxbtq mctj7h195p1diu2dksHGcrAdHp2uj/q5y1nzrUnXSrc6NuoqraBotdK948GJbmtPzLk9Zbo8ZXh3 0ZcDexOl6HpWtmdQcyylfJjVfXQycH7abKa+3VUlWD0UOjHpgOn760eClVaWQlCeaTUt9lTuTZlW x+3P9vrOL/hH2uQTEXuTgz852Pbs9r4L3aIn23VH2hmjwYrh/gBHSHxr25ZaR8Wlo9sDNVqI7ba8 8fZMl//9G7shDhQWb2s2MWYS1UEFvlOG2m7F7K/GnQ6SLoO60k4830Y8EaIeCNAmvaS0uaSGh1aV gudwrQxCjhDIG4WIxCVFqIyRcKebcz8rfjSuvNEt6mKiw1CyDI/2l6I1SL0R5Abv5//cG7AdBijY iHQPefSognG/AKh+MlQOLYFuZmSrvYpPwF6M9uHRdgwixfgICOThAgTYDnE7lByHcB3YDlSv+LSt p3LN/goK0l/zNwLYSQSs18wciJj2jjVMRO0eNanDJzw64d0ZNwfMHEjtr7SwY43qDh9/PGGBq2y/ kTkat/Y2qtnlBamobTRZOT3gWd7XOZ+tp0L6JThaAewCnF3PznZ7JuIOBYcoZmGrq7h7ZsJLE+0g xUgYuQy8Tz6BwqICu405PuDrqeEN1HHmM8bJRp6+rKDazAo3KKeGQz2NFrdF2NdlzUL8POy6BGVh UtwDHsy5TvbNAemdAem9Idn9Ufm9rOxGD+9qJ6tXgHaClYiArlzL1YX3DaQYVGmBTMuo9gjh2kEq KuVJSBwB9IqHHhgopoIUizmb6zXtAZPNxmPSsFwmpi+s2d1jHY/ohlKNs8O9w6nwrplxALuZzc6B HSbNnbzingbDRNS3I1ozUmvtkFArWfhKowwE9mqr0mVWVJkVHikrwsH1KmlpBS0lYSQF9O5K1t3T USRBCUE61HVMwjJSCux8GsA+2QB2x6K4kppQUhGqK+kA9qSG06WGsr3MuJwVhewkISXALIEDKIOe yCU4DoUoYFOlEo5ey0sG826fz7NWfFenoII3sz1UHe+o7ghUBepNLQ0W6PgZbnUmYr7hTMPseGhq pJVOKXpwZm0uNSe2r0kxq8dfrfNWnL90LdTs/lKwu6ySo0sTx5aGDszFoaLjTLZ2qqd6Mu3KdtoC DWavz+T3W1qb7JmYJ9UFVQXKVw5uRmT2dZ0cFn6ZP5XZrFGURyL+VKLBbaHeubD5wrHNMmFRR4c7 EqmVS1k7sq/+x4efL+H+cf7Vw3kqcWl7jYGC3fYShIHnUBAArObI+OrXvji+8bXPisbkIAxS+c9+ +KOjRxYfPLpw8HCvUsF6aZug57z5sx+3tbkiEY9ETBMLOZnu1I3rNw4dOPCD734Xrhc2wnzjMoAd teXndX6Do1KlknFkbLKXW8zEQcMERD+HPGs2EQuopxaioIK5gFbs0lLIJaB5YrqdDB+PEFIR9sek y3HFQgP3yCT4/ey7UrrZhGqslXVxofbSUjwVUBwbqrq7w3OuT5vcUUMwUSud2mPzkZmssyfmm+mu ujZtfGfBvTJo9JYVNZcXXRuQ7OpXHU2oH/dXfHis7tJOk43+VqeNd/to+8q0++nxttVjrc4qllbO yLSb9vY69sSNN8YcT3bXnIMJ/Yjq6vLQQNyeCZlvHkhB24hH2w2H22krc+0Xz86KZdR/3fLm7FD4 4w9Xu8NuSuFWEXbrTJ3i4rB7toY2U4k97C850VB6oQV/MVhyNkA42lQ276cM2ohtqiKXACUloMhb UdCFAy72IWDKiSovwRnYji9C9VmIt9KcWz3CdwblVxP8Tjq6g4RuxKMbiWjorQOGcLApwu2v4d5L 2//7H0KgCsgFGR/5VaLRLGwhF4cWEQplFMxMo/B0iHYaAbtqtRcKFSqQyVN2EVhioFwMTJhC/Okn omvwaAeAfW3ASjDG6NfADkE7sB0Ir1lrGATZqdi/4nDB61JWUlSlpqWD2u3dzq4auVdNC1UL53od qTpps5lNhR1V8udHmzMBxWC7dizh7KrX7My4xsN6DmlrJu7u6dD3J007hr3poJ6GL4LJUCzU3ZIQ HCZOotPe22GU8fBCJtakoQ311OwZCXgq6HJWybrGDscI4YpCVjqYdCSc1NEAa2dcPFpDMZIKqo3M eFPF3pl4JmB1V0rHe729ccupveGrA+qbSdZBL+ZslHF7UHqrXwxqzP0x+Z2s5GoP50qC0y9CLtBc xE987HbQ2GEfJSiBnGw0Umt9Um0FnS8q4wmIhRCxF6A0Vj4cairuXJpLuSsFVCqGxcRByNriYFcq IbeuZrSnK5vu3Lc4tzgxauZycmCHgNlEwiQ9mplU476BthGvqU1IsbNLK41yl0kFrpgqk8JhUrql zCgXm1WU98vpPQpOXMhMVLJunQlDzimAHagO989W4k/OxJ+uxK/v9G5vZAbF2DhMm8ppCRl4YwDs jISaHVezoR57TE5rF5WHBKRGBhbm9wHsJDyOVV4m5TEMKqHDIu2oz/vdi/yP380bTW0yq3/itHKg uqzPYwtHajqjNYmYP52s68s0Zftb2jv8jkqDQ/+jX97dIGKD6fG3+Qsj325uqL1641agwfElk6cH NkuFzHCoKdJaGw5Uh+osAZ++uVpT51SajVKFQqJQiOQykUUri7dWjw611XhMXY0/+u3zTYgVZ53t a+lR8UC+Vk02mwx6OeH+tc23L22S8DAUilQuLgv6Xv/1k82IgSf3EjjjQGnHjyGL6jXwRo7FfEx8 4UsiDMTPkJf0w+9+D3JLX31l02ubNn9+IIUFvvgSUON1WnYqXQNXCiol5yWww8Of//RHgUBlzjyZ TNXSqCVb33yrymrDFhaBGvOXgvZv/vM3yrAFAyl3oFbt1HNVbFKrvESAh+kstAJmyvhFYStlvpbr KSkQbi1otnC3xzUVgiKPljRcx2kUE2MG8rFu9cm0ZjEoOTjlmx9z7O217O41zHQKri81X1/uSwS1 h4a87+4OXhw0pnfWEy00h8d4YldsbsDbH6+f76u6NqV7MO9ayepqSYWtdOyNUd2eQe1yQvto0PTB cv2lXXaXqCDhFt05Hl3Z4YZ8itVjbdVOroRPSgZ1e1Lm4yPV7y6F391TvzLrneisWD09unJ8cOdA w92jA2c6OQ/HNQdD1IEmZSbt10jw6vItexJVd5e793VIZ6zYI76Sk/VFp+oxZ5tLTzTg93gI47bS hA5fL8XaWNDPEUWGPghbYF4RXN5/EeYb6YVcyxSh0gb89RjzVkbycER1JcEDsEfICBs9pejaUnQN Fgl3OZ9aBF9SRTZu7b9wGfYCSAfSAs/JhWgmmFGhqBcWusyXyKk4LavULqLuDknPBCmnW8rBFQMa O7R7uxhlxUGKgYgdbHvQphOLROwI2OFPAJ822GPW1Bg4VQHVAe+GtXvAOwwFlHdbuxz40r8CTovw BUMEBRSaDJPmOkZXvXKk09rpk9ZU0Juq2FNJ60iHodMloWHQbrdsaTaaqhOnWxTHFrtGotaBdtVU zMgnFcRa9dDbazjjmuj3d9brmQQI2VHQ79lQwarUMtuaK0a6KqVcHI9ZLOMWt4dMe6dDfh1DwYLy pZ+98XCdxRdhZyabB+r5UyHOviHjeCNHRy6oNDK6WgzHD42OdvntBi6Qvy9lW9rZdCmrvNnNWarG rIQZN/sFd0GKyYrvDkihdM+1DP96mj8gRK5rQGaHaVMtvEXFSJ+vbcUFSrBNesVNtYoKDY0jIeY0 drga1jklmW5vKuGEEoVGI4PJxJWVoYX8MoOCxmcUhyNQeLBvIpuaGOqZH+s3cpES0/DOwdnZSCqK VIonI+6ZWE2msiIiYSBSjFG65nWU28yQqaRyi1kRFqYPwK5gZ+TspICWtrJuLrc+BovjsbaHy21r CUptD460Plxuhw5K002sFklRUrnWXwMcj7K1iF3FSai4MSUUYy+HcL2VT2qi4iD7WFpcqKXgjEyS XcTyaSXQlaajLu/XQELIHnqR/8u7m4/ueqWn/bUm98+tFTilkCAXUhQCmkpM0cuJDsO2RPPrjy9t 0GHAEvNB/q+e5NXYCybGt589d76h5gut8Z7kf3AlPxt+rb/9e/0d3+tr/05fx3eQ+/Zv97R9uzv0 7Z5W5H4g+nrA+x29nDw9ERvsa9GrONPZV//0mw0JpHCQwPn38o/t3lzv+J5b9/3nN/M+vLtpIIoO +lAHp7/x28efb8wBFxS/zp9MfUujpHbH66INlu/k5YNlcT1IBsBCoI7HFU9NTF2/dm3l9OkjUAjg wMH1cfTIEehM+pN/+eHG4rrwcgja3/zZzzRKMVCdWo5d32BuAcD+rz/5UVOTrR9sMxDriBk//P53 gedf/0IK6ksv/MY/fZ1KKIK5p1hQ01ararJyk0aCilQE9sUaFjplwo/Ucw+HJYGybca3CwY9osVe g0KIsasofdXsZn5pr519bsh0IWs4ElUvzzbtna47NOhcGrTtTqsu72u+fCjd2ag6MFTzcE/L1RFr ZldzmY1hcxuW5+OzWf9wsungsPv6dt39nbaVXnUDBR3mEu8up26fH7x+IP7gaPe7y53nFptbbITh Ftn9M+mVnTWPj7ffPt7m8wi4NFynX3lkqObK3vB7p1OPDwbP7gqMtKkXRwKHl/p3DTev7oufibDe HdMeaiJn1Oj9QeaJ1vJz7fQTrZQDdfh5Z9GYDZeuKG4SYKtYWDUNwyOiKVjEIw0dJXIkX5/r/FI0 felK+LmVFKISOsL1GOtmN//BiOxKnA3pKp1kdH0puo6AhjbHPgzaD/YSHFoBc0//r6nugC0YiFdw bQAEiGvqNx2qAZQUSsswcjJORsIaOGQDj2qVMJ1K7q6Q/Gwr/UwLROy6W1ntrT7VhU5WilMEZ6Ia KGkFlQQgYofjL0UUBgcMLDLskKwE84NrtnZgO0BeC40+IXcJjaSmctcSiOBtyZEc7sGoV7AVKpIV cIpQkmI0vxDNLSny6OjpoGYyWZkJVHgrKKFq7nxf5Z4BRxLce7gip0MCBQCDlcxonSjdoq8zs5JB xUirFux2TTXKoYRz50jjrsmWuf46Oh4JgPEEtFyEt+uY0TZzX7sVaphIWFg5rzjebp8bbKiuoCvZ xet2R/gcCwtRcjlhdiow0CgcbqTvH9CN1TANZQU2PS0eMu6bS2XaHEo+wWfntjbIxnsdl4a0t7v5 Sy7s6Tb6zYzwbp/kTq/g3rD8Vq/wBiRHpwRDUiRiB7Db8egKHNILDyL2rcUFch3b7xEH61VSMLFL CGyIn8B0i0aRxYRAhyUer5ocCprNLJBi6DR0k5vTUS3s8MqSHf7JgfR4X3zX9PhUpscpFGPWNHY4 R5vK0EE9YzBgGW4y91jFUTHFSsdBl40qg6LSILeblXazyiFhtTNAYyf3KVg9EmaST06aqatHQ0/X vI5PTnY+PRl7crrr8amuJ6cTV3Z6Z4LsVpg8VVBTcgjXqUkkYmcl1aw4pJ0qaGEppUNY3iEoD1CL 9TSUnFQoLsVV0Eg2AcutkzQ4PgV7LjaGcPdF/h+e5D29uvnM0qb92zcvDOTP9726Zyjv0I7N149v +rd38z5TsIHq8KrfQ6j/ar3XCR2UTp0+Xef78mbWf3ic9/uHeb9/9OmA5bWH//EoD8bv382DJNbL xzebVLix0Vgq4WsPOpUC1KmlteaqgHQIv3NxOMTt7+d/dHvzO+fyfv8g/48P859e3vTi5mbEuA52 nfWnAdV/mX/jxLcq5EWtoeruVL2CT32p6zTMhAKEeTSC12kCczuwHSY6X7p98P77UrH4n/7hK+th Nqg3//yPX9n21tvjY+Pj42NcFgOwv/6/wGpEivnXn4AOA2wnETCQhZT7X5g8XZt7zYMtvIT03MNv fO3rdCLm4FzrVMa8a9g1FK7oc5KM9ELCNnQjtzBjJcyHZYfD4mZigWtbwfYm6XRKL+RgbApyv4fT KiQMOPmXx6uujlqWY9ojOwHsjcfGvEdGHUtZw/UDbRf2JzvqFPsyjkfzTTdGbX17QmVVLHed5fie nu3ZuoFUcHncuzpZcW/SdKZHGaSiIzzivROpZ7d23D2evr8I3RiTZxaDoSrCSKvsnXN9p+frHxxp uX0i4veKPGbh2f29jy7OnFuI3p2v/+BE9NzewFhQOFIr6PUwpqrJZ8KC8xHGOyOqQw2kpAg9XoXr NRXXC4vNNAx8GxmlKBIOhQd9aRsatQ2qPkKVvL8qJv9Snq+vRMBehErqCDeizJsp3r0BxdUudnIN 7A0Qq5ei6/Fo3xonAexuqBCFRrJK/6tuubAcInOAOSjnMOC3DzyH0wdcNZevZaqC8AJt5dX0UjWd oKGVWPkUu5jmVvI8GuF8i/x8O+1kkHxvWHcXWjP3A9iZ3dyi+mI0UlUAJkyxyLnJi1/Ll4c1xWg3 DpHZwfGI5CuBDoNCdBglCq1GoXUFUCkFBVIzRO9rjVRQ8jWMu6hFo1bKooe95KHvsZJbShG9wioi JIMVO3urE365p6I84ODszrrAK9tWxS8HKcYp2TfTmaqXjsRMs33+RKMiHVKNRoxcMjrUaB7vqdk1 Xr9zrH4k7mKUIr2eyBSMRkp0GjnxiP3gzvZwtUpMKxJziqOt9n0Twd6QRQ+50BuUMPjUeLyiqZG6 Hi874y7blVaNeqkgxZhU5Ha/CjT2/nanQU7raNJ0BZXbs+7rE9bVBHe/C3OqjbbaLbyVEcOcKeQo 3ewVXe/mXo9zRmRItTTQ2MHKDk1OoSQmOFgKcCiulKIzUFuaVUpZqUBaxhMSEVcMCkWXlYU6zOl0 9fbhoMlIp0N2Nr0oG64YDMlbPaLursDeHaNjPV2z0+NHd8+32eyFn/rYTQQ01J3ekWzI2BUwv9kh odgZxQB2ux5EGJXDpK4CTUbGa2diMtKyHgC1mN7Fp3TqKTdOtL53YU1jR5R2aKIERWPiz1eQ1ng7 WzhtUqjuSO9WUHsB7DJ6XMGC1niA97ic3imhhkXl7QJKgIJZinOyHkJIUTxYx1pokQz7pEMNilhT 3u+AzzDWqQjwhLRTcK1/kP+n9/L/9DzvT1BqAB5CVA//lQMs3ENq0m/yFkY3mRXEhZkZqO144vjJ hr8AdsR/CK+F+9yA5Y0Dtvbr/Gsn80zqklS6uanBkoxUQ/APk6En9+f9ERphwxln/fDgyfAQjjB3 JJAnC2Nd8IeF5/l/ePHN03v+UUDfZLOowTATi3rf/PGPNuIXWAoPv/f6a7XVmq6wy2VXqRWCamfl 4u7dv/rVr3JuFoA8lHwZyGYhsIcoPYdfwDKE39AjA7qg/u53v5ucmACwQ0n2dVzDyQL88Dqt8M2f /yS3l9wLYf3bb/xUpxFs+flPc2teugewM8pwJ5e69k84juzwTsV1Y36ajVVI3IpuEmKzTtJiQnE8 Kg2Xb6vFbNvRoslE1BwG1qNnjNaKO6TEcZ/48pjt2ojlWJfh4HTD4vb6E1N1R8fdh0YsN49FVnZ3 tfjki92uJ7tD4F3p39te5uR6m107R2I9ker+VNuJ6bobk5BhpD3bLWkD94gQ/2CP9/B299m5pgd7 256e6T21GGy24QcCogdnes4tBMBqe/9sqskv6ktU372888qh1N6U+VCQdSEmOJkQLLeQjwVox9oY R1tZyy30lbbye1nhoUYi9ACSYJH8KZiqgtgRZFi4lIULcPhFw/hLN6TXyGfX63/pWZ9bnwN7t5G4 Gmff6RG8O6S4FGV1MdBhCrquGBExIG73F6P9WLSnCEnhdAMt11yCuRnVz23rb3yAXeM56OewAOor 8BwkdEA6eY3qVCgIBrnzaLQQh1aSiwwMvIlLMHKIVRKGU8Z2q7neCuF8EJpEUI8FyHeyyrtIgXHl pRi7l1vUiEMD28EGY8Ki64nI8QPSnWv3OU3GU1oIs6tw2grSCiPcwpSwaNpIWHRSjvrZe63ECAnV RUXtc7L2W6lBHGpBh7lSS77cTL/YxDrponXCbCwktdGw0Tr5bK8n26yt1TF8Rjq03800qYI2LhmD Nlt5c2OhVIOku0k2knYMRYzdQUV/u45ZWuhxKCGHKNIo3zPXtjjcTCuGDxeFwxdKBKUuE6e703Z4 eyDklArpWCELE2zSnT2SGe2wVTA3KjHI94HPx0VCFeEqSn9N+XSnYrSOYyxHGxXEOrtgdDA0Fver JeRoqz7WrITWtdfGrbcz/P0u7PEQ5WYv/2Yv71Yf/1ZWeKObB6UGrsVYI1Lks/YQkTQlqO4IpkcA +1ZsgULPrfcrWpvVCjmBLyfyRND3ALnEYEvK6po1ka7KyWy92UBjM3HlZYVg0RQwSqm04lS6Y0d/ rMNnScWCCxOIj31dY9cVo1srRbsH2vorlV0abruYYqPjLBUiKBdTZYLkUzVE7JD0EmZjM1Jit5yB uGL4tKiOem059N6FJMAcqrJDKbDHK9DzNAZTqFdnvLMhQbscl1IyumX0HjkTqSoAjkc1J65kd0np UagSIyhv4ZXVUYsOJBlDXmxUVzweKD/VrZoNyEbrpMHqvBfv5kFdL6QiIgATCA/szXEyR87cPayB Af8FgTEA/1d5Hz3N62l7VSUozHT4D+3Zc/Dg4YMHj/oR2fb1P/86D9nOXz9gs7/Kv34qTyUpAKr7 qnUtdeBst4O1XsjeOp5+9cP7eX/+xdrJBfb+pYcHK2F3zzf/2/vfeP/6f9vem9+X9s7sWKiywLvL AAfttzd/FifnIAydL7a+8TOYGh7obepP1/Z0uuvdyiqDqMqqH8z2Q4GCnBf96pUrP/6Xf4EoHVos raMY/C08DuejDz9cProMzN9YUgCeAwUKXioXAPb4H3//e9UONVh6DAoOFKJZ39T6AoCdScKdOhhd mqw6MV+7K2OeqCuvYhYStqKD0uLt9czDffrTXZokG12H3TbSYgw1KRhUjNvImgzII6qyqRrJ5WHz 9SHz8S7T8fmW/TuaTk01HJ/yHp2oWj2eWFmIt3ile3qqn+wNX5twZpYipGq+P1Qzmu1MtHkHultP zdRdH0NqM55J8kI0dEpKfLivaTFrOTzV/OTazvcujpxfag1WEgca+I/OZlaXk5D4fO1gEzSaGK5j LXUIDwdJp9rIZ0NlKy0k6Bo/XVPWZcR6RYVqIjokKT7XVn63j72vttgPcWYJmg056Wsk/+/AfJ2m BExhu5lVLSYhlVXX125YXF+3cQH+HyZPe83EWwnOvW7OkxHetRg7zkBD54UmArqpDJlCBVnDj0F7 MEjRFQiDIW63oFByMId8tpuNm0ROPblzUG4taEWIy/5zT0EewKkBQnS4B6qvIx14DhO1tAIUpxCl ouD0HJxXRwk6eXVmupqLVrAK1Vxoscfu7nf1jvsPjthPB8mnmkm3+uUgsMO4FGX38ooaitH1UK0X g3SO6JMUTqiw7SR0cykyBkSovTbC8RrmtKJwtxF7rpl9PsBfqaNd8JdfamSfb2QfrSKlqKgUBbVc wznm5rYVo/eYSy/X0y43sy8HhSc8rFgZnClQMjIuWqcZ7bJCdonfwHKrKdmQPuGXNlk45UUoi51z cHdioE3TH1QMx+29LZqIX9jXqtdwyjxVykSLoS9mX5hqGe6shMRteLOKikCKIXos/EhIvzjWFPVV iKgYEQPTUKPcvT04EXFUsCHF/7O3ENAqFZemo6a4m5WtoUy2i0dqmaZytE1NaqjkZxLewYhHLylP hs3ZhGVptvkCSDEZ7j4HbjlIvdnDv9MnuJOFqzPRjSQkprGvdbGGIWIvRbuJaAeUiwHfIx4pOLkF W6Ay8hpqZaD8q9Xl3E/BDp8lVYxvaTOlku7JoSablQNgJ5ehoHcSj0oEs35XIjAUbmyvNkdDfrDH +CvUhWsJSvBxW1m4VKN+d39waTB8aCA8ZFdYoO1FhajKoHQakIj9/6HsvcPbvM9swX92/9jdOzs3 mb2ZcidFtjNxMokncWYytkXiQ++99947iA4CBAiQaGwgiM7eSbGKoiSrWF2iKKoXS26J47iM4ziT aZlk9z7P3fcjY8eJZ2Zn8fweCARBEALxne/8znve83pdhpBO0i/GjaOMXdTQCMsydsnKAWD/8E79 PUgVgMmnN2rv7i/A+fsbnVt9ygEdsWHgjBkEsJrgjQEPv4lfMUCDEm9Yw+2Xs/qkzAwHP51gDthx vTpiPUTbyCrGIvJGWGkSvdjp+vbWzDOv7Tz14Y8P/Su4SsAHDo4UWBCuC2h/sPbvgVrkP/3s0E8e H3pl9elO33dsGnal17FQSx9dPrJ19MSxY6diAfPOyaf/9V+++suffe1fPz70H6xffnzoN+tnh375 s0O/+penHt08pJX8oCtmD3oN8Q5DOmpLJxzBoE0uYfisf/XK2tPvvHroHz86BK8BHcMBrwc4/8FJ 5/1n/u+PvvLzd7/09q0vnlr6cmOId/zY+ocfoskwH3/88c7Vqywa7Yt/8IeAxv/ti188aAIFug4U WsSlLkz2zrSSrZFopT80PhxZHE9lM3aTXqxVy/oK+Ru7uz9++229WvOlL3wRWkq/9IU/gq7VL33x j/63/+V/hWc4f+7cxQsXv/Bf/uAP//f/44+/+H8dfBduPPvM1yHX8VPEhl/0ve/8pceqaFWSzUpy ejDCxB1Gm6HQ1/Db9Wdf+lM+nXjh5NBc3XECRjNPhld7+GEBwjmMDFsoRwuKc+MdN5vuUSmhl3x4 ZjAwmHPJ+YRMQLnRb69YmKsp/d1pz5NZ97Wq99Jm4fiR9O5qdmej69pa9I0rrcurg7mI7lQj9sGx 4pOlyPiZIVZMkR3qXpwabg7G58eHrm30PF6wvDltuD4iBSmmoaN9cKb7+Ljr1FTn25eaP75a3dvs LHvxK2n+69ux3THd/aZir8K5WWJdz1EuZ2mnM6z5MKvkIPtlGAURza2FPiASoOthTEZEul1k/3Bc fKqLiOrbZDQcG5Kx4RADGv7bo/pzCAl3wHc5BNyZQefRjE5Hg+MefRBU27gUwn9M4eGBJCymimrs /Ncaop9MK18bEdcA2JlINx4DryFHQzJkFCdjgOr7K0DEhFnEKIdkIyM8LMq30WFt8ET7/kmAKQKm jUrEklD/KerfgEm7AiaZ+EnjJPrK9uV0UjtCBHkZNG1YkJzQDvGPaOqmBIfIKBDTRJkYNjSHdNN1 82zDmkuIpPzDElY7zEYtjxiOXh7evNG8cjS2k2fuZBmPxw0wIO+1MT10x4/L8HAy6qUgUSySp2FO OkiXg+xxLq7OQIZIyAkzshvl3E4rtrS401b8zZTgVo/8ehfvVkb4cMj06rB9Jy4bY7XXGJhzUdH5 kKBAwh73UG+nuXu94vt92p24eJiObge0DGzGr2hkbfmwImLldjp4YICZL1qLHXIesd0XlJ072Rjt 1VdS8q3Z1FSfbTChODGb0guZAb9xYsi7MhY+tpxbGUsKaagUQwLXlpLqNfFtRs7SdHpqIGISEMHi mOuxn90qrYx0WiWU3wV2BIzl8xMhsDuOJdnb41Zo0vFx2t16+kC38cx2faGMAns6qhrI6s4f778/ a39zTHw6RECBfUzx1qTyjQkooUKfmuJBXfIQgB0YOw0F9si+zA7UHc6wL+HbjS5pMq5ORJQGPUtu YClUDAJo7BCYr6GWK+Fc1jZSjkTCGqEABjZhYDSehEflCciZlHem1X90aXxjYWJ9CkwAJtw+sMNJ PCyjNlLWI6XISl94vstV1vK8XJzLquw4AHanyWs1gMbeL8JOaJjjOkFdxavIOGUb68GlPMxOAifM e/s+9vcA2Her7+2N3N/sPDagGDRQGmZuywTNp5y6gV0zAWnnj+j5JR0Pch0h3XFQxoDdkZqAUeCx ChJexyU7JDSvnNdpliXcKo9BbJPRnOqXugLPNQe/eXzhmRsnnwKX+JMbh9649TVYr+0denT10O6J p49Of72c+2bY9rxdSQq5FKUe+0jKNJqLrswvrRzZXFs9Gva7UuG/mm58Z7L8nbGhb44OPgtrbP/6 4Pan13Dn+NCzE0PfnC5/e6L0l+OVZ3vj35Bw2nxevcWk6LDJAy6Vz6mGcPJoxGEyqVQyst/+1+Xc t9anv35166lHl5761x/ts/cPngZf/cXNbx6ZfHG6adjamH346K1//uXviOVej/cHz3//xb994cUf /O1fPP3Ml/7oi1/5sz9r+8H3klHzkdksMIG+XBCSCpJxVzzuTKd9xWI4GrVCbdSgk2d70zKR5NvP fhOGJVJJEDWBQEDE3zz//e9/93vNRmPvxt6Lf/03f/O97x1+4cXDL7wAMZ7QLAqxvQqZHHB7//Tx 1eef+47bLK/mg8VuXz7lmSn40i7V3zz3nW99/evf/sY3/vIb34BrWDB3SStlnz9Vma55Ts51n5mJ b+YFUQEifAlp2enHB/VQDL03HphWELOUw3ND0eGCRyEi5oK6rQFX08ZaB7vgNMx0du5UvadWsmuz 8Ttbud3Nrr2t+OMLlVMTPb1h7WY18up055OF0NipEiOmSBW7zm3Pnttqnju9cHY1/+iI87VpzZVh YZ6DtEyUt7c6jpXkZ/OyuwPi+2PqW3XZlQL91hDr7ghnt5/xSoa50ckYddNTGqKVg5EQMNTDGGwb BhRyAEPgMMBXYZHbMN0i8u0i861R0ctxUpqGdtaAGpygIwEiItnHz320PsDFf+OaSsSfbyU2clYD GWbToA9gkyH8TQp5lf/BD4LCg2tvg+Lpo6rw1YbkR5OqJ1VRU4Q0RdimjNSQ4IdYSAEmfVCQDMga eEwngvQ5qPMt22QVkk7blRxEwETYNIRBRcCMTaJiDGJKxgGdsxqXnAJEnUHBVeKm0S4Tk4R2H/6W uoMxFc4LDDybiLBIiJhDlLPwPBzCamu3SogjGUVrULc85WoMauYblsWmtZSVdXYw0yFO1EepVQwn Lg6c2Kle3Yrv5NnXUMZuut/QPxnTg499TIbPgVET+CeCFCjICRvpXAdzjIOtM5F+IrKlx+7GQFTR bhnwJ+yEmz2S2znNblJ4I82/M2S6XbJejAqbjPYqHXPSzzvTweklIutO0l6adzUjvj1ovBKXjNAx UH3Q0DHZqGq+7K2lDVEzK9XBPzEb3Gp4+rwSHgHjdEvXF4pDEWkxLDi1nl8edtd7dFuTUZOEBR7d 0ZLnyFhocSK+1EoKISumHQMCGjB2n5GnFlOapUDSo1aBFCPAd3caoGt7rhS2Qb0WPXf+5gJvo9FA WZ/vmuiSz6QFZ2fc6z1SPwfTYWT2RpWntmtHailIXBzudzYGrdM1//VR/Q/HRGdCkO3Gf21c8ea4 7M1R6ZuTyict+YOa+EFFvGhAixGA5yCz+8BERENzlUGKUZm4gYCkO6HV6WkKA0upYh4AO1dN7R/2 A7DPTqS7ImqRgMClY2RCqkRIF/DJPrus0hdfGBtablUG4gG/Xobfd8XAp90NVRsFveJRj3aYxgL2 MbcuKqE7TQqv0xhwwTJ4bYaQVtIvJEyoWWNaAHb2iJxbsjAfXsx+dLfxHkzEu1kD3g7rJ9CCegMY e+xYv3zISAIwb6DGGG5Vz64aOHUIFtALwcE+qGKX5KwBKb2HS/AKEY8cZ5dghVSiFtoVFQyblOcx Sjs9uqGgtddnibhg46CN2iQuPcOiJji0WIcOY9dhzGrEqMRb1EyvWRZxaDMe43AChuKZ0gFFxiMa TvhXFlaPHNk8cmR9enKuXKpUypV8PuOwq9wOrc+t96BL5/XoD5bHo4fBpn1JNwzaKyScw7mIx6U3 aiV2ndhukmo0EuX+zBSDEuBRAF9aLCqA91DIHgzYgn5LvEPvMYq0orbLx/Yzyn7+1J3Tf9KXNp+7 8OSjj/7xc4NJ/ycI5h988P47P/7xTyBs9513rly+nE6m+CyaQkjtTTsnJ7L1Wnc+H0qmPNAcFA7b IxF7NOoAX302G0invckul0EnhrGbPo/n2Naxd3/y7k9/+tN333337bff/uijj0Bmh+eEJ4er9957 78MPP5yfm6ORyJBRAET9qS9/DXpvgn5TOeXpD5qjLn2HQ1sJ6ZpRY9SmchllHTZlwKaKeRQRryzi FJ1YyN/ZnZsa8RxfyJxdSB3NiToFGMmLmBkP+2TJdHYq/HAqvKAl5akvzQ7ESkWvXErqixtPDfta DuZmj+HupOXxlO1q1bex2Ls63fn45b4bW4m9jc7XLtf3jjf7uswz5eClmv+dzezpnTlORFEdG3z7 tSt7l5avXFi8upV7vGh+bVJ6pZ+zYMaeT9Af1USPmnLwY1zNMbdj5LkA+A8Z3UqKS4RTsrE8EnBy DP4lNGsFevYgExhOeSCwAJH+dKGHaxsmBoy9QH9zVHgsSgD3NXg5oE0yvq/JQBHQCqC3b9X45OD+ /X8ZJMLOXHo979QQ2oADAzsCelXuNpPAzf9bSEBR/qXDbehqg/yGNg4JEzOyT/aI70FiTF30o0n5 oyHunBxzPUH6cEJ9O8Ma5SElOqYIsQZcXE5MsuAxzaL56o1Kc9qhNrUJZIhQgfD3F0+GiJXtk2XH 1fXikUqHQ0aBoSRsJnk4Ze8Pa1UiglZBVUjIUKuF5Bkysb2c0zf61Hp5m9fGXm55+pICB4QbW5j9 SdGZtdCRcdupI6HJIdX2nPfcEf9czTRW1o2O6Hu7eMNDqs0Lgys7tXNbXdfyrJ0c/c1Jw8NRzVvT +vsjgik5vkhDckA+ceheY81MOO2lA7DX6EgfAbOhJ1yKcvcyqqN6/JqRcDUlvZJWX+0SX+1k3Sjo bg6Yzod5TU57jYXZ9rHPdHCLJGTNQTofZ59PiS9ndScDnGEGkqMisC3qS+g2xsKgnMesnIiVPZq1 VJO6rFsiIiEaDbsxEhoIyyAaYmMuOdNnKadUR2odah7NaZc3B9w9QfnyfO/WXFYMw+EA2CHYX8eO O6V6Ba2ctZvEFDGLqOASOgPqxVYsbOFpRMTPiuzwR+RyMOUhbzWpGE9wprv4NTvZw0YCRnZPQNYs R3ojRquO2xjyZQNSs6j9TFn54xnF2TDuSo77pCV+a0z81oT0jQnZ46b0QVUEjP2IBemmIzF406D5 FKQYKsrYD2PblQZONKwo9li0WrLSxFGomaCxw2/nqSnFYW+jHjm63O93iyDrhk5DxEK6REAX8qgu i6RVKyxPtbZXFwYjARi0Ad4f+LzC5s4tIVR7vUenRo6PV7ZHB4+WOrvVXJdB0eEAddcIJVSfwxjS yAZ4+DElraVmN1XMipw7ZGbcv5BFNXbQYfaq714feXd35CcQGnOjcn89emxQMWQg1kCEgfqpkT+q 4zchrdckrhokFa2wBEPxlOwBGTPPISQNSNqOTRjAGIMPyCkxPVTkGQ4Vt8Ms6rHL0w5tt89UitkX e131gqfYba9m7KmQJeS3RAKWgbilDJ2qSfto0dkX1Gc9yi6PJOoQRMzsYsi9MLUwP7c6P7+yvLy+ vnZ0Y3NzbWVpeLi3M2JPhW35pKuYCwJsRqOAmXYQW4pJ93qzd6qaHCkGhwrBQMDksWv9DqXNJBEI OWI+UytmCLgMDpchELBlMj5MFLLZ1H6/JdftG+2LTpW7Y27DQuuZ/wEDNf7u6V+8+ScrE6QLF/Z+ h6Z/8gWMnP69yz/94z8+efXRaLPusBn1WnEkYgETS6EQSqW8MOciErGFwza47ux0wj1w/8BApL8v DGTeYtZkulOnXj4Jceu/95zw5fvvv18dqQB1h3LqfoH1EMx2CwYtyYQr69H1mBRBjcStEhWd4rJb mrSo4i59t9eY8ZmKMUMuroWi1d2zzQe3ltYmIufW+84uJLdywi4hRvVi+2JAcHLYen4m8epM5xED tZ/+0txAtNzfoZSRSgnzKyMdY07OVtZ8e8z4+oxjtxXeWMqujsdub2R31wHYE4+vNK+dbBW6rAu1 +M501wdnSzsPN5Qx+Vi99/Lq8HbVd37UC9Pr7ta4j8ckl/KMZRd2wUfJaggxGRXmYCg4BCENC94V NNQF2OknxhWA1QM95ADJfx+RD1T0NkxYSLiZo77e4p/oInSDkEtBW+DjQKJALsYhYQQDxmzpJ2by zz8Jm4h/pRVagv4zIgrssAvQ0gi1jAXGK8HLgQtcwzFJJRNTfmM6YOq0y0e67At5+/mG42bDsFek v1YXvD0pg7TeBTnmdoryz3P6e2nmgAgJSGlaJmKX0F0GMfTJhCKKM+f7a6NmvQUjkKPAzpUibCnC kMB1ezGlXa1FoHanYsNWAMOgE8p562zVMVe1LDZsfSmRQ4P1mGmdHYzTK6GNCXCiHg518C5udjb6 Ff09orGaqTWkPH0kcHTKeXYtstwwroxbtmZdM3X9YtM8WjKkY5zegnTz8vDR681LW4nrBfZOlv76 hPFBCwYDaR6M8GeU+AHw1EEdEPY7JGQBmLmXMc7F1iFLjYBZAWBPiO8WTVsmAgD7tR7FbtG6m5Hv Jjl7RfX9IfPVKL8FwM5GtjzUMx2sARKyBUMPO9mX0rKrWe25CK/GQrJkxMjAdAcUlbS5v1PdaeUG 9YxiUJP1KzNuuZCMsdj4Kwt9pahyICSYHPFNDdijNuZQUsOjYL1e7VQlFLIJN9YGt2Yz0DOC+tih QKyBZnyRVkIZyNjMMqqEg1fwCOm4fnW806tlakRk0md97G0YjZpv1bBhYMR8Vjyf5A5ocS4WxqGl dfvFvVG9TkzVadjDeVstZ8wGhKcGRO9MKV4J469kOU+a4jdGJa9PyF6blD9uSh42JK9WhGsWtMoM jL0TGDsIbhS00gHArrHwuxKqQq9ZrSHLjSDF0IGxg9An0ND6hjvq9ejyZI9738fOZCASEU0mpIt5 VJtF2qrlxgez4+W+wc6ASyZAtyX79RQnE5s2cGp+/WjAXHMqhrXMDiDSJgVAetBlCjqMfrjWSPoF 2FE1paVmNVSciow7YKLfO5/74Hbj/T1UjXl3F4Yo7c9RulG5txbdGlAMGSkNg7Bl5LUMPCihNqD/ 1Cyp6EUjGv6QitcHmb1SRp6D84mRLiMSUsEML2xIQvIpSVI6WSegWWWskIzrUggNaknUIKv4lPlO Tb5TNxDXR706l0vnc+sKEeg+U6cd8v6wOmYSRXS8sIkdMDF9akqPxz49OjszszI9eWRmamlmemF6 emZuZmpmstVXTPmtqi67IurTGY1yvV7uNCu7g6a03zjeF891u10WmdMiM2jFWrnAouRqpSw2iwZp fgwqCeYsQHArnU7hcOgA73K5QKeX+126gZgDEg+yIXul99lffngIVdp//rX7F/88n5Svr5/94IMP PvW0fB57P3vPr371K+DY87OzHpfdoJN0+AyZjA88iqmUBzAcTkOw4AZ8WSiEq9UkmNJLpViu16/T CB0268Lc3JPHjyF/Bp4TQgOObx0T8fl//MU/2s+i+co3nnlGLGLAMwD/9zo0XUZpUs738NkWIXPA yiqZOQExzyMXBlWigEocc4g7OxT9cdXe6fqdGwur45ErxytnFzLHc4JuIcaKOXyx4t6uOS4upF6b 696wsgeYbQvD8UoppFGQx/q9O/Odi1Hp5dHI3XHTW1POvVb45bXC2kzX4/OjN49mbx3rfni5eWyh Lx1UjqaNJ/M6YPVnjwTWB+UX++XXSrLLec6xBH3GhT2bJL9a557NkAtCxE4HTzFqWAEQ+02D5/+X d+XzmIzibhsmKiLeytNfrwtOdOIB2IGre3Boi1AYhlGyCSEJ287EGklYIQ4L5pff4/vwDFwS4dp8 ejEDY77aYAA0bHvlZHw2pKbuAzu8Rg2fxCBgfUbh2lh2ppQYjpmOjMSONaM3l+I3q7qbeeZrDd47 06JXS9xlWfutBP0fF2wPUsy8FGPViNgsvFbONetk0NlusjM2t2KtCZPB0iaWQlsKYlJifWpsTIvt 0hOKHZLhTnPaq5bzCKAYMKnYxaZne9F/ajlwcsFfKcqrA6q5mmWmbn15KXB0wmVUHPZ5WK+sRxp9 ysEe8UzDUu1XLI3Z55vW9SnvRFkz3zQvjYHyo3953r9Ys2YTnExWunlhaHunfnEzvlNgX+ulvQE9 p3XVk3HVw6pwSoXvB1chE7wraI/Vsh5/NsCd5uIaYLTDYRbUxIsJ6Z2iectM3DAS9vKKm4PWG73y 60nWtazqdtGwExOOA7AzMcf9vItgzCZhjrvJ1+LMK2nRTlZ1OSY4AHYTHZtwyQaipt6AJmblBvTU vrAmH1R1O6UwrtTfIT93fKQUlvWHhDPVwELZ7zfQ++M6LhUXCILGHghY+Ytz6ZVmBCIF4E8DjB1c MUGrUMEn+GwijYgq4xHkfFxPUrvUDHnUDK2A9NkixUttbd1JVzXrDCpwE0neak4ybMB5mRibilLo VEESrENKN2o59UFXc9Bc79Gc7uP/aEJ+Joi/0st+3BC+1hK9BlLMuBzajV9tAGPnbVjRQnmKiXQx EDcOLaGCH+klbLvRKUkmNA4HH1qTlAauXLkP7O0IT0UdqoTGWoljSwNut1AiIrLoiBQYO58u4FHt ZmltuOflrdXtI0sDkQ54S9BCwgFjh15mOaXuUDbtSiDVQypaBxvvMsk6XHqwsvvtei8gvEbWxwfG Th1TchoKblkCwE67fzEHGjtqhrkBdH1figFBZq/6YCO+1a8c1FPBFQMmdhTVtex9NUZY1YnKGkFJ zRuQsfskjCwHCz1uMNZEQsHyESxY8kUkPIdIEFNIMhrFzKSp2QwYVWMWst0ijkXJCxgFUSOArUCj EFjUgqBR4FbwXDJOxMhxixkeKd2jonrVNLec0O20zLRmxieWxkcXR5szo63xRr1Zq1VrI6XG8EAq 4jZIeTIhWyxkS/gsn05aSro7vbp02K7TSyRCtk7OFgqZIjZDJ6TzmRQKhUQiEYlEAoGAJxAJJBKB TAF4p3I4DPF+DELKqW0k3YWwq9vz/Y+e7CfDfADF00NjfV964fm/DXg9S3NzD+4/AJHkszD+792G s8C//PM/g6En2RU36JU2syIec/T0+GBOU3e3Fxg7oH2xGKpU0D5T1Dk5kgj4Dd/6xtMA4BQisTQ4 eO6VV0aGh5/52lP/9b/8AbSpguXmb59/zqgV9aS9gYDZYlFaIStew44LGVYaxcihVB3sQRPVxaJZ OHQPl2nhMv1mdsQl6w2qbp5q7VybqxQ9a9PFs4u9J/KCHhHGcLj9eI/2/GRwZ6P39YX0poVb5mFn hhODfT6TDjb7qevzibmw9JWa/1ZD+6ihvzzSsTyeWB2Lvnm5dWur+9WT3Q+3u89XbdsZ0aUc92aR d78svtIvPNbFGXcSMnKMi4GoYDYlgln30Z7UhKe7qeBdAUszbFphj3nAyT8P2v+Zez4BdsLtIumt Bu9kBA/7YlDXYVMcI2I8bFK2tZydO8WzBRhyHV2qI4iUOK4Sy5JjGWIshYfgKCDYc8mEqwu9C2mD 6hMpRkYhDHQZKSRU35SQcBfj6hCf0iyGjs0OzVd7IDN2CSZCNuPXp0P3qspHJeoPW5x3JvmPBjnL yvYbCcYv1mMPS8a8nGDTCMHMppNz7EY5TA03Whmbm6HWuDnhQKY8vFEDbdUhPOGRnXFLznilk36I b3W2Mi5IsgVgh3irI03bmWX/yQXf6aVQpSBrlbSLDfts3bo64ZoqG0zqNoi+XJ12l7KSxqBya8Y9 nBcfmXSCrn501jdeNiy1nBsTnumqCdytR6fc+aSgJyffujR8fLdxEYqnRea1LA2GMr/a1D4ZUz0o C2cA2BkosMMQJSj+HjUTLgY5czxcg44U8JhFNf58XHZn0H7MQtw0wRuuvF+y3cxIbnSxbuTUd/tM V6PCCXZ7nYU5DvuIsGSAiFm3kfdS7EtdnBsFUOMlEI8GlVkrA9flEg/GDPmgNmIR+HXM/pA2H9Cm XDI+HmO1Cc9slweD0m4HfazfMVl0QhtFMablUnBOp3K6Fuu0CoBdO9UULqTeQAwvEdErGR1mvpSL V4goUj4JvcHH9Xbq6lmrSUpWiX6n+nz4cFtXAk58iYSOMNMrXstB5DgK7AYZLhuRNnMuqAzqNKyh gq1WNJaT8tP9/LcnFQDsl3vZD+uixyiwi96akD2pCx5UeA/KvBUL0ktHupkokYB2LcgWgG6FwziM ysQJBKR8CV6goimNHLlqX4ppR7hKSjJr68k68jm3yyOWikhMMkYioMgEdAGHarfIa6XeufHG0tR4 H5jnZDBK4DfA7qIiPUpG3aNvuTU1k2hIQQ+w8Q6DxGPV+Wx6t03jsekDIMUIcGMq2qiaC8BekbAG jdR753vfv1V7dw8tmB5o7ADvkAl2bx0Yu3JIR2zu03V01oaOVQeNHR2xARo7v6zkDcmYfRJ6hoUF tgMuJDhaCZCjhsVCSgMMDoEkYigJy0kEPoVEo5FpNAqQZBaTJmDRFWy6lEOXcOhC4MwsOo9J5TCo Qir0uZMsXKJJgrdIiRYRLmozNEqtyshEudSCNVyqDA4MDRQHBnLZwXwmEvNy+UwmjcylUyQ0Ulgj Gs50mE0SqZAG0+fZdIqMRWHSySwKScQEPMcDnuMJOGhGhgWvkInDkfE4AhEPgA/PIhZxw+Dz7zDW kz6fDn/z9L6BByzuHz/98VtPec3f6+506FR8m1nXXyycOX36449//nkp5t8D+fv371dGRuw2o9ko 9/n0+Vygvy8yMtxZryabjUy9HO/w6qhkLAw/evqrh8Dl+IU/+D/BafOtv3j2z//0zw7GJH3rL54R srDFbnNPyuv3GAwGhUIOodOsbi01ySM5CXg7h9jwsIYtBDuFYCQTLRSyiUL2athBGOniV91+ZerS 1YXBrHd5qv/8kfzxvCAjaTe1tW/GJDeXEq+fr72+2L1l4w3zCLPDyepwBATMpXri+kx8Nijb6nfs jCjuVuXnC9pjVcf5huXBjPX2hPZuU7kzIjrfwz6Z5M8F6CNWYqcMA9m4MKmTBZ9kmPK23zIjQDCr XuqTqvBkFxWGJkMPo3k/aQS+Cx8YFKL/f17gR2AB+IYExLs58lst9qkYHt0XQ6sIAYmSMF4RNzl9 9sjxk8fmi2MjoVBQK1fwWWI2XcRFxTiRhAYDOYg4FY+wcyQ/k9TJcW1gNYGWHwkJX4yqiMT2Fw+3 Jey6J33WAJ2YiztPr4zMNXrCTunUYHCtEjhTtd4aljwuEX7UoP94lHOvyDiiat9LMn9xLPWwYp3y i5vFaMApHertmGtkhVyWzkheW+sYGzcNuYlXQro1Pee4RXzOozjrkJzxyOfCmumcfaLXoeOjwE6l YCcr1q1539qUbXXSNVyQLzYtx2e8cy3T8QUfUHejss1pZR5fCtULykZRdnzBW+uTrk67lsfs67Pu 0RHNNIgwDcvEiGFhFOqApkK3pDsjWT3bv3apfG49eq3AvJwhP5nQoDMjYBjQMH9WjQNLTx8D6QSX JmjsRsIrIc4MH9diIH145IgWt9MtvddvOWoirhrxOxnp9bxhNwXAzr1d0N3tM1zrFEzsM/ZtDxsF djg1uGg7ce7lBO9yWnqpk9fgInkyYqFhYm5hMabpDSgjVr5XSy+EVPDJ7Ib+eRrWYOD2Jsw9DnbB z91eTB6pgDuYErDzuFQCh0NMBDUhMx/UGKeSwiajwA5FF4WUEvcqlDyCSsyQichSNg62POm4IRvW yPhEpYT22ayYfWC3QZhYTIuHUQKrOemQFudkYMwKYq5T1ci5XAqWSECKBmT1PkslpT6Rh1M22B3x F3tYD+qCJy1YojfGpa/WBPdG+A9GBKs2pAfUP9gn0hE76H5Aa9HZg+02ryyb1IukBCEAO0SyK38D 7DwlzeQWWtwCs0sIU63lQhKDhBHxSGI+lceh2MzSeiU/P1FbaFaLfo8TAsL2GTtUl+wUpFtJG3Fp Wm59xSTrkzN8HJxVKwLHo8+u9Tq0bkB4tbjIxTYV1JaOV1Wyy0LGkJF293zu/VuN9240wOsIwL4v xYy8t1u5uxo91q8a1IPGzhmFBfVTHRuy2et6dDTeiI5XVnMGZayChJpmYRk4BNrHYCghxD7A4CqI 8GVisZA+BOF4IixOTsZxKHgyAc8g4tlkAoiWkCrDIBPhBp1EpJCJJCIBLAowywrGjTBJODgps/eX hM2w6K1Go82gNxv1ZrPRqNdp9Bq1QauBBBgWh44j4KBzmIbHcXFYv1IU6TAzWGQ6CXfwuyRUPIWA J+JxEJ25f0Eh/eACWZRKLFaAwxKxWNgsk8kkNptul/IzFlWjy22W8mYrf/E/wJN5YHr8xdOXtw45 TdRWLT1ei3eFLLkMwHJxfW0Nqqb/SX0GMP/Nt96cnpyOhPwel9HrVI8UAxWolHg1fBbh288+C1Fd T+3n9AIzP6iQwpQ9VFH/6iHsS8+7zNyVydh8DU7nWrNBKpXy+ByGnk3tNdCSXLwTh/UJqWMeVsWM cxJxehzOhMfp8Hi7nOHQiVIu5Z0L0+cuTBW7nQvjA2eX+47n+b2Sdtvh9u0e/YXx8PtXZ19b7tmG Bm0m5uziyNZmy6ihLFc6rjQ7jnVKLwxqb41IL+VZm0H86R7eeoI54yNXndSsgeQWtasoGD7A0WEM EeYr7RsRoQoJZ3noiIQFn0xKG2bZRXk8wjvVRU1CfZOAmGDgFxZxomQefSRc/mN4B8n7QPWG6zaQ b0DGgR9pwyREhDs56htN9ssxXAZwCRg7EdAJ4xNysxObN8/MPzqeXlkIgcKsUeFtJrHdJoFptkzK YbeeFbRBoz3p+nJ+KmGUYlFgh7OMkoYfiGggHe2Fl9q6fZYng043GW9U8vq7HUYtVyejTQ2GNxrR nWn/zYr0Vp7wRp319iT/fj9r5QDYV8N3soJTRevZtSbMrawPdI6WEgwayWShb2wER8dMAx7iGads 1SA8FdCftIlPmgQvu6XTkCKStkzlYXwBOiUEZmG3SlYg5EdnXVuznpGCbLFhOj3vWxm3Hpv1zFTN Fk27FaLFJz3VorqUFUPNtFyQjlWMk1XzdN3aHNa0ytrxEcPEiHF73rc8autPS9Pd4sWT+fnT/afW ojtF1tU0GcYAQWs8KMZ3hnjTShy41vvo6BAl6Dmd12DO+hizPNwYA+knYFZ1eAD2O0XjlpmwaSbe 7FXsFfQ3umXX4tyrafX1Xt3lqGCU215lYI55GBfCokESsu0iX4kyzsV4l5LCy53cBgfJocDeHnEI i1FD1q+KWjheHa0QUeUCypRLLCJjVArW8kRPJarIdTC3ZuPzQy6bgggD7xhkPAn6AiKmpF85XYnE zFyoyMDHBUdBDBp6xCaAs7NCRJeBb5CDA9Ie8CoSHqVSAIyd+lkpBoA9EjbOVPwA7JMp6LwTDGpx 0K1vVZGTAUk153Gp2FwmEvBK+rs1hbB4u8D70YT0VAh/IcN4VANUFz5p8F9riR+O8O6V+Y8q4lUL Ah+5bhYSZ6CZvZAtAL23UPDXWYWhDpSxo8Bu4khVDLR4ClKMkmZ08m1ekbtD4u6QyvcZu1hIhfop h0M2GySNkcLm8szR+ZnBcIdDwj8AdvAM2EiYtJxa8WjqTk3FKIMQMC8bb9aInRaVz6b12nVuq9an Fhb52Jac2lCxKwrWsJDRr6fdOdf7/r6PHZww+5aYYXDFQBX1zmoIpJgBPalq4LYgFAUCIXW8ul7Y NEoqOmFZyy2p2P0yRr+IBgnb0DXAJSMwWl0BWhMNYWJRL7GKgqaeMjCIjIwatIARofhPBMEThVfA WjwWx6HiKCSohGB5ZIRD3m++gB+BcGMYNYXD8Gk0jVwrl2tEAomQJ5KKxdCLC1o5lQZaBQGeBCZv SlgUMQ2n5tCkPBqLBls0BOKd4QI2VjYJdVP8mxc4ilWQYgSmKTwCJwUyHs8G1YjPimskWa+xw2Xu sH7/p6+idP1//njf+vj3T2/Pfg0mcF3aHnnvh2d2ry9le92RkMVi0nbF41euXPnXX/2n9BmA91/+ 8pe3b91ehNRlrxP70g+e+spXvvJnfw6280/d6Z/egKCA7/7lszBFa7IaWpyMLo4GG3mbSSXSqTgc Do1NJanp5KKFm+ESXXhsUM6a9gtqFqwdIkrg87A/Yt4sYZj1sqhDfvts7czLQ/Wie3W2fH516ESW XxC3O9oOn2slTk8nn7wy/sbRgRMu4Ywcd2Mxd22lZyHJ3amqLg+KjiVoR2PEvQHudhc9yMTIqRho z8HDeKDDmJfaMJ8GZ332TT5g1AfXMESIfBizaCe/NsJ7OU6A1sUOAsrYD9KlwJ1ogVP/fkPlAbZ/ eg0Qh7aOAjNvxwBt4zKpeCxGwKa4FfyomCFCMGY6bt3PvJ0ngx5yuhPfC4cYHXHhIdukHXwWQ5NL 1481LiyEZ6aDoS6hycat1keq9brb7W5rf6E5FG30efVc0ivj3RPQj41pgy5OKJ6q6biwhQP+Z2Ds 3R7TkwGXm4JXSZndUTvMN9RJGbOlyGYjcmM+eH1QtttLeKvFeG+W93AIZey7SfY/bHffLoqXwpJS xs+l4TsDpoBHB250i5V+FBj7qKESZL4SMa6boNfeupP1n+92XB8MjYd1Q1F9f0Sn5UPSOEIhI62S eX3afWTctTzhLhcVYG5ZmXTONkGWtI1XTA4d1qCnTDZhKpmqlBOvz7jKeRkA+0TNONOyj5b1Y/uo PlbSL485phvWvh5JJi1aPTewuds8uwEaO+dKmgyuJOigBGC/XxIcSDH9sOWBiBsqsmHEnA+wZni4 FrSAEZA5De50hHe9R7NtImwZCA/7VA9K1r204ka36EZeezunu3YA7EzMlot2ISQCKWbTRbiRZJ6P c673yHe7JADsEGhshsAKyOwKG7IdurCZ51bT8gFl3q/ssov4BIzdIbx4qlbrVGUcjGbe3BeQdDqE 2YiJgcPQ6QSrEXIFuWMlX8TIZEIg6b7GDj/mtwsUAmg4pUkFZDEHJ+NgpXyiSkRTS6gqIeWzwA58 wGgSDPaYIhrQ2LkA7EManJuOMYPeG5TVs6B+MAUMpMMuKGa0pZRqK8d6e1oCPvaLaebDmgh09Vfr gscN0QMA9hHBvbJwxYykgbEz0U8d5AmAKwYyc9rxCJ6BobIRroQoUFLlBjbkSO8DO4ajphs8fJtH ZPeJnD6xXExiUjBQPBUJaFwWCVjHeL0wNz5yfHVhKOK3irm4fcYOcqWViEkraDWPru5QjwBjVzC8 dLxVJXZZNCDFeK16l0nvVQkLXKSJAjunquCURIyilnrrTM/7t+vv7gKYg9ER9Tqi3pjrI7eWA8cG 5CUTsW7iNMHHjibGoK6YmlE0ohMMq7kDckZRRu8TU6FuxcShccSQKQdHBXs/jxrEGTDZQr8zHDIA 73ANWIo2Qe9Lqwwcjg2mXAqi4iAcCgJ+JxMfrwarGxYRENBTg4iByBhYvVAQ8sZcrpDb4XfZPTar 3WiwaMDwJZeJ+RzQyQVkfEAvtit5VpWQTMJAXQWAnY5H9Vu4QfqMjAs3AeQPcANQCL6E4DIrZNYR ERMBqyfijDSiiU03yfgOiyqT9CiFlBOLaBwBCuwgyHzw9P/z4dOtvq9bDLKlhb7xiQwa3j7W09vj hTGpZqMy6A+cPn3mF+gIjP+UQgM8/+23f7y9dcxiMoOVHTJ+P8VzuAGRYmA+VwmpUDaq9Lhbgx3l Ptf0sG8grlIL2Sopg04jsgl4DWjCVmGGR4ZO8ICUNeXjN0xYiP2HExZMddFBUpOEbdNJuuySu+fH Tp2uZ+Omc9szO8cb2yleXtTuwRy+AMJC3bM3E359znezl38jy7lQ5G8lqfN+0qCJGBHhjAxsJwcD SuPROB2CQWRY1H+IEubPQvm/fxseCWR+yU56UuGdiOMhORCA3YRFo0gA26ExMwR/Akjea4fEU9Sm jpoB4BoHnweCgUkEqVEr5HjNcoNWQsAjejm3aJFBrKiTTY7p2C938W/nCD9ssV6OQxowyp2gjBUk t9n1+sHJlTsnR++dzE5PB7wxjsXBH6kMl8pls83ShrxYyvtKvU4dh/zKZKYVVEkx7bC5AGA3MHHZ sIyIRxl71mt6Y9DppeI1chiTCr1sMDGZNjHQsVoJAGO/Pazc6yU+KJPfmWI/GWYcUbZf62L9fDN+ Ny9aCorqxaiMR+pL+wopL5mI19voa0eDjXFjM6vcLcdXbaIzSdudydxOLXFnMj8ZNQyGtF0ehYSJ O5BiygX94qRzbtw5O+oYzimmRowb057ZpnVu1A7AbjfgjVrKdMs+0qcsZYWrk86Rogy8MVPA2JvW ZkkLMvv4iKlZAq+jaWzE0t8jSXcLpza6R4/2njwS3ilwL3WTHzflgFcA7PdKfIBuaJsFYwxIMTBx Y1OPuRBkzAtwzX2746qBsJOWg+SyDYxdj7+bk9wfsOx1y0GKuQeumH79bgKVYqo0sDuyLkbFg2TM hoNwq5uzBz72vOp6Qtjio3ZHG609ahP2hQxQJvab+Q4lNduh7vEpu2zQhYlRqVmby73VTnV/mF/u NvrU1JBTmPbrqFiMWiMKOJVGFX28EvRr6UxQe/c/fEIeMeKWKjh4pRBIHVHExsqBtPPxMhFFIabK ARo+0+EFjD0as843ImElUvLQZlOCkgYHNSCNBBf3Sms9bruCxWViPHaIi9EPp1THCty3JiQv+/Dn umgPqnzQYUCEAep+v8K5PcyFwgQw9jQTLevAPhGlExQEQozbcQiWipBZCEdEBMYuN7KlMBpvn7Fz VDSDR2j3SWw+sd2LAjsdpBg+BbyObA7ZaVYMpjuKcU9rMD0Q9tjEgk+B3QSMHUa7enQtl7ZikkKa roeBt6tFHrOmw2FAgd2s96pFfSiwk5sqdl3GGhYxCmrKzdOZD0Bjv1555/rIO9crcANA/r2d8q3l 4PagYsRIBo19FF3cmoZZUbNGtLwSmGFkaM9pXkzLi8gpOhYQG5AcoBvA8+AakBNuAHeG3mc4ZOD+ A2g9uAEPBqmMikVPB9DpB4mXMB4LzggA7MD5YXaqhocz8PAuhTyXGujqzCZimVg0FfR3dnj8brvL abNaDFpQLw18dsSuge4tCMWCogoAAvwWOjzn56AGXgmIuvA6Dy7wMPhDALA7CZC6idXjsVISQcSg KoVsm16aCFs9Nl3U9dy/vL2fbAPADuvDp3/x9lO52LM6neJgshLMp4aiJ5Q+S0PRbNZv1Ev1GtXi /ML7773/61//+t/T2w/uB9PLr3/169dff72Qzz//3F9BJswBsD/1la9+4+mnMIf/OuxTnVrMnlvN Zfy6TEiXiRorvc4er0jKpEIlnU4isLBYDZk4ZBPnueQgCR+V86c6+HU9ujHUQ7YqHoV3i4SZ9Onr GcfDnZWjJyeCHt1MNX9mNr2dYk+aMEccyCtdjDPdrGNxyqKfULfh03K8gwHZgBg41hhYDBUwtg1x UZBrOdbRGDVEwKDJfgREjkP/3P+ZCwrsIMU4ya/XuacSBGjWA5bu3D8QIMIaRgCDIBNi4QfsPIeA 6hTQUtEOKocW0dPfeyV1ckBS0JNr6WA8YFKrpDikrdfHP1Myj3slDhEjqOO9nBTeyeN/NEY/3YXL cVH65CeC8azNajQPTK6+enbyh1eG11a6OmJcs50/NDzUNzRktJixhLZyIVjoMht45AszvXW/XNLe Dp9SEIUMDPxATEPYl2L6gtYfld0+Cl4n585WUoWk16RlNwuB5ZHwlSnf7WHFzR7S/RL9nWnxkxIT BfYE6+PjvbdLlq0e68bUEJwFxoZTtUInjUzSmClHjgbro+ZGXnur0b1mlbzcabo9kd+pJm+O9sx1 WcbS1v6IXsxAp3lCqWW4YFqYcM2O2WbH7KW8vDWkPzLunGtY51r28arZZsQbtKSphmWkX5XvFk3X bVVg9VXTeNUE/BzwfKKsn6iY64O61rCxNWIu9Ei7U4LFuUQhY1ofc+wW2ZeTBBj/9GoNDB6Su8M8 APZ+5r4rBrJuyMi6DnPOT50XYlvQoITDbGhwt3ol9/t122b8hhZ/t1dyu6jfTYl244y7Bfn9QcN1 AHZue4OJORUUXIoIyyTMmo2wl+LuZqRgodlJ8EYFKGO30QHYxcWQobtDFbTwQELPg92xQ53arxTa TPztxVzRKyqGeUughJtYJinJKKYzgLwJqCYly6CgDvZYvCoqE8TTfRsVn0+CmBc1F1ECjAspoLHL 2HiFkKQQU+BLmeB38tgPHwZ7sOFIKxpTEXr0lNm4cNCAczIRgxib9ImrWY9VyeKAh0rPyCbUlR7t 0RznjZb4ZR/hfIrxEKSYhuDVCvdxnX9/hH2nzLs/Ily3IxnoiYMeJRrixCEBMqqxo8BOQ8hchC0m QPFUYeT8FtgVVL2TZ/WIHB6x3SeTiik0aKPjkxQCspxLBvG3J2jpDVjAFp72mm0S/qfAbiRjknJS Fcz8dnXFJAGN3U3DmRV8l0nts0N3ks5p1nmV4j5UYyc1lay6nD0Cudwayt6p7g/u1EBUfxd1xaDG mJ/A9fXy7SPBEyXFsIHY0HPHtbyWmTcd0szGjHMJy1rOPxe1D8rYeT4pzyenaCBW/4afwwFygOQA 5nADiBBYIMQwygFoORlEDxTDAdtBkxHhETEeYeFQeD/AYfgRSBxVArCzEC0X0bAwVpEoE8/GOzPx WCoW7QoHogFPh89u99psdqNWLuVpRWyNmAuiDEA6PAk8MyzQeD9/ASSH7DstFu1JBFACPg+M3Qi/ DlQjeJ1YLJeAlzJJMjZNL+V1efWbc/0xv3ZrHh2o/dt8mw+f/umTQ93Bb1lMylYLrCw99Xp3s5kG bIcFrsV6PeVxaaRi/mB/P4A2zJv+PXiH7K9/+Id/gG/NTM9oFCoIfvl0oB60HYG63v6D72ZihiNz vZWi9/xSbnsyETaIglZJyKfLJqxRExNKzEIBA/rZ4L+jJhEGLZIiixQhE3psmvm4oqzHOoGxY9Do 7BAfN9SpW28k75xqvnFt9uxcfLyDvBhmnkwxTnaRGzpMSo64WYhyvzgCp0Ww/aInXxAw9xeQciDP h9sxJgLmWg9tK0wGju2AmfV41C5uh3Px/rv92bcamNSn6+BJAC0FGMy6m/hGnX0miQcJF5zSoyb6 sJPjkRNZRGQxq70056tmTSoBM+0zDZVyTAErZWH+/YWuiyVxUYcvxHwBt0EmE+Ewh2d7xD9ad8+H ZVYB3aPmbieBseN/1KCeiaPAnoKtNASzUA93BX3lqZVHp8bfvlo9e2Ig1CnwdUhWlsbn50bhc4PD ttUGYvkuo4lPujjdU/PIpG3tsLWEj5+ajk93yIFiAWPv9YIUY3eScXo5e3q4O+DWKqX0RiG0WApd GfPcGJDc6CW8VmW9Py+/P0BZ1bbvpth//3LuQd2xltRNlpJqMTUTtUb9ZuiTMRrJGyu+sYa+0S27 Xo6t2+Rnota9Wvf1Stf1evdUp6Hapc945RIWtBejwF4q6OfH7HMt62zTNpSXlgeVM03bTM0KQQHj FSg4YXVa0kTDUu5T5VJgd7RXi0q4f3TEMNe0j5b041XjXNNW61cvjNmnqqb+XnEqLZhaTgw1A1tz /p0+9qUU/mFd/KAuetSS3NsH9j4mUgBVYT/jcU0HGjtlDmJgGcggHlnVInsp/v28+riRsKnB3+0R 3uvTgQ6zG2feKcjv9et2OgVgd2yyMEddjEthQZmMWbMSdrpQKeZiUnQtLhznI1kiCuxhm6gQ0Gc6 VBEAdgUp55f3dsiTNrGIiHE7JTDXMqgjd7sY43lzzMQwiUkwF4lBwjMZWIBrk4oG+1a/Dj75v2Hs fB4x6pFohDilmC4XUKUsnIKNQPOpUkSWi8gQz/7Z4ilIMWaLaGk0WvIKe9SEho82oEe8HMQiw6cC wlLKbAUphkuUcHFmLbWU0h7LsF9vCU/4cedS9Ac1/uOm4EkVTZB4WBHcHob6qXDTgbpi0OLpPrBD Vox8X4rBMhAS51NgZ0kh3fGAsSvIRhcXgN0GvL1DJBaTJGL8Us21UnLN9Tu7vfLuAFi1zXAIpDxm q+S3jN1ARpJyStUpr1vlIwbRgJLpoeH0MjBcgcauA2B3m7Q+hTjPxtVlxJqMVZGyhgS0vJK0eyL1 /m0U2D+pnFZ/gqYKVO6sBrdL8iE9qaHjNtXsMZfk7GTPy5X4xlD45dHMUtoLmb15EaXAp3QDLH72 8N6/jULEPkuHIx1QFEAe2DJEFgPqAlzIwcAgRHxyrEuMWOB9wKN8CQBWhEXUNETHRgx8vIKJmIXC XKLQ1ZlJxVLpSDIRCMd9/pjT1ely+a0mlULAomIhHBvYOMw3BGCHtb9L++2rgZdxADVwF/QhgggA qfhmMMGCaRmLdgGjewf4Fg4LWwYxhWhWSYIWSPv37F1ZXlsb99n+9t0HhyBG7LcJkB8+/XePD2Ui 33Q5Da1WL0Sjw5pAA9LTw6VOsLuAodHfYQBf4vPfeS7kD1y4cOGjn/4U4P3Xv/rVD9986+jGhtvh /P5z3wWvCywAcyDqcP21L3/1r5/7jtciOT6fvHK8tDDVk4oY1xqdS8MBt5Tp1AqcDnUyZvGraRIK mceh88k4MRbRUghDNnmeRY5QiLUu/0JaN6jBwhzGMAMpcDErfvapAe1KlHU2K9/q5E+7iGU90ilA pm247TgtwsCAeRvIz+d1FXjHAGGgIxvUDwqV6OFQr+WZ6yEcADsYAADboSMDiLcdg1EcbicBy0Sd WfBUGBwEl2KxdDwW/spqCt4Ip/LD7cr29k0v6Y0690wXPk7FdFFwc24OzGZaqDgzPu7tjdirZ5K1 rBksqUvV7qnZMoPPTJlYH7+SuDIiyauwKZ8LWjDUKnDUti3nlT/c8Iy7eUmTNBfUnsjw93rxb1ap ZztxRS6qeYLCk2AcLnXH6nMrN7dqN7cym2sZb4Tj9YqPrk5Mg7fbrIEZlPWBaG/MYBSSLs7nhpwS 0WGUsQOw65h48GzgkfYXDrflfMY3BmxOMl6vgko6ALtBKWHUCqGFUvjadHB3SLbXg39thPrutOh+ P3Vd277Xxfx4JXCvFygQOeEzCVnETp8BJt1Aad5goa9uBBotQ7VXsTscX7eJTyfst8ey1ypdt0d7 xsKaUlRbDGtgowoaO42CLRcB2B1zo465pmMwJ6oMymeb9pmqZanlmCwb7QacXkWeaUDNFDochSvj bmDsy6NOaDXdmumYqhhnaqZj0565imF90r417pwEYp+VrFwamrtWO74e2O1jXUuTHkHgSVXwpC5+ WOIv63AlNhpiBsm9STKyocO84kMZ+zgAOw5ZVWP3UqIHOf1JI3FDi7vTw7vXZ7yelOzEmHfzyjtF 7bVOPkgxdTrmqJMBUswQBbNhJcDDbmcltwvK3YRwjI/kSYiT1h62ivIhfbdPHTYK7BJyT4ci06FI OCRQPLVYBEvjybCJnnGzp/vsMQMTRiCBWk4j4Vl0gkpAsmhokPHYoWVAosIBYxcKSNDxBG+anEeV 8shiNlbKxsoE4H4kgxojF/2Oxg6fZ6GI1N9jKoUUaRlmQIPtUyEuFqLgYX1WbiFhNMsYAjZJziXA qIhMULIOwF6HGjfuQpr2EIC9Lny1ygeZ/UGZA3uc+2Xhmh2dlgUmdlguiPEkI2o4akAEZvyGsYs0 dGhQgtF4eCgEonZHqsHBtQBj94pcPmiBB8Me4ndwfAaOWcXosMt6IrZswJLxW9Juk13C+5Sxm8hI Sk6tu1UNuwI6Q4fkDA8Nq5eyHQDsKGM3uM0Gt1qaE1HGDJwJm2TUKmlYxBWX6NapzHsw8xT8MHvV n8BCGTtK2oGxbw8phk3gY+eOGrhjduFMVDfqU07GLFOdtnGvYUDOKogpQNphfw3Q/XvYDhgLeHtw ATokxKGlVdDSeUT0wTIGYhdAax7WIkRsXIQLpVKYnwWkGgtxRogCPMAcvJwOQiuvkMgnoslkJJHw R0NOb8TlhhzcsNXaYdYL+PATGPi98Is+peuf/M7f/AugDQcsPADgC14GALsJUB32C3AegSrtwf6i rZ3W1qaj4yeynitn504cHYwEJXabNBiy6tTC4Z6vo/FlEPAIasyBSeajp3/2+qGw65t2myoSccai VkBynVrAoOL++rvPPXPoqa/99y9DMRSG3/23//qFrz/1tEGrg7EawOHhuEXv/MIXwesCY5UA0r/2 ZbRy+t1vfwu2/70J1zv31k4uxjcn09XhuM8uncx7J3rcDj7ZquY6HKqusNUlIYrJZCGfLeFQYZiC gUZq+I0FPjVBw1U7NHMhQU2HVJTIqAEZN2GrRmxe1R4TY+z0djkW/o8IDmqZ7ciwGn+yi9HFw8C7 odrvu4f3B4XmTy7wZhoVvMGsL5uwTTTTZxeze3XFWgjrJ6FEHcqygOogekRhMrWY3iWk6hl4ENZU TJJVzlDTsDE2wUTEVLz8ip3s4NJsLNJWmPZmg3MWNHYAdgZxLaWaS0vunMiujXYsDZu3R12NnC3n 4J8e9DYqGa6En7SwfvZK4lpF3K/DZYPOYpfHaVMSkPajJe1PTkfnY6pK1F5OWk+keTdz2B+26K90 4SA3EqQYHwwAYh4uJELV6ZWry4Pn5yJrR1LeIAC7bG1xbHqiptNr4ECrDUS6Q2qbmHRpId/vEPEP o4wdqIWJjS8E1ZALizL2DsNrKLDjDApuoy9qN8lUMjbcmBsInxg27w5I7mQpT0rUH40y7w+QVlWY vRjl51PG292M5YhkqpKxanlohk/KB6Yvg521sp2otYz1XuVetWvTLjvThQL7zkjiZr1rLKIajOhj dpmIjoXpChwWeXzINt9yzI/aF8ccA1lho6RdBl963bI+6TzSsnrNeKOGtDLumqzoh3OiE3PeqWHd 5rT71Jz75Xn3Qs2wOWG9tBI8NW0/M+e6th7daBgHspLlC4NTlyon1kI3+lhXUiRoiof1uCF7VOav 6PAVGIDCQVEdEjJBYz/vZ8wJceNMFNhXVNjdlPBeHqQY4qoWdzsjuFPU7SbF16PMO72yewXd1Rh/ EuyONMwJH/tyTDQMGruFsNfFut0rvFdQ3+gSTghQYHdB8RSAPahL+1QBI8cqJWf96oxXGbeLANht dsHiaFfESMt4ma1eY9TAVAlJEpigTMCzaDhg7FYtbaLid6moYLrbD0tD+DxC2CHWishaEV3KJfNZ eMB2EQsr45PUYhJac/uMxg6VG7mMGfUrEiZmWoopKJCCEvEyESEFkXHwBgVTKQL3NVnJw2lFOJMM t5Thvj4qPhvCX+qhPKpznzSEj2rcRzXO3UHmnRL73hBvw4Zk9+2OILMDsIMrRrUP7Dg6QuEiLAlW pKIqjWz5fmwvADtbCVIM3+ITOP0it0+qVlDokFbHBFcAhUrDQetsfyrQ6usphjy9PpP9M8VTCyQq K6l1jxp6lKBBqSSlArBDh47dpPRYwcducJi0AZ/20lrhybna61cm3rg6+ebVySdgYL409M5u+X1I ErjU/87VEhopsAuG9tqdlTAAe9lEHDXzYUzqhE95qplaznm3G4ljI7HFpAtk9oLwQIr5BBH+rX8B eIG/kUAA2S+w0gioqE7BI0wY/7rvfoH/IHz3AJyB1YuJqG4jhX5bKkbH5yaj6aA/FgnEgp6A1+rw 2WwOvcGp03n0KnDHoJW2T9T7z/9y+B4crUpgj9BajkNVF3jztSSEj0cVIajT4V54kfLCC9DuCmly /WF2JqwPRx16o1goYKnVEo/HEIu5NAraXAMEmf2ZfZ9i+989/U/vPDVbe+rF57/+R3/4tS//6Z9D 9fNrfw54DjMvfsffAqZ0CF3/73/yJ+j1H//JAUUHSIeHAaS/9PxzdqOwr8+fTLmbg50/vLm0WHVP D4V6Mx0GOWcs5WjGrTYWwaHmma1K2NdbeOC1JkFN3Cal+QTYlJQw2sErG4jQbRQF1qTBlFSIjYJw SPt1jf3pEmBcgTlBgOjwbsCC97msxp1IkLu4aIkBhO4OEmLch/eDUzM8BqaqzfV533l84vKZ1v/b 3neHx3Fd99IvfnZe7BT7ObZVLDZTIkVRlESRIICdne29t5ntvXdgAewCi7JYAIteF53oABtIEKwg xSqxiEUkwU6RKlavdpw4yXPey4vfmV0KIW0/f84fSZwE+91vvpk7M/eeOXvnN+eee8qtK3vvXNh+ ftA8W0IrZhBGLM5MduNOI+2VVuvdw43vTVdOlmpFDGrcrRxocDcWyKukTA+XNJIwj8Yh6Xx5qtp/ tFFzv0d8pIxSwSEn+Ix9SdO2Wvz8TOX0lqIyt7ipGO+scjT6lLNlhvbaYikmjzsFnx2Pn+/Gmsy0 uogXwv447RomFYCdkNhHw4r2mKehxDJbLnqjlgKmKUfjNAD2CgFaAOKNPK+1pgyAfX5f95UDycmx In8hLxBSTY73dve0Gkw6GgMZSVcnY2anjL6/KwJmRXISGWZz8JU38ajxgBaCgIFVTDJku9PiA4nd qZOOtlVG/EYjLgQD9cm2Eoiuc6FJeTXFvNfBeXsALHPo2zTk14tZPx0yz1cLm9Q0MDMW8alGJV8H 6hXgGIRlOFLTN2hvj0qOldr3OJXHyl0ny12Hi82vxOxDRfrRlKcurJHzQBWDspnkwTbb3nH/wYng qZ2RiTbDSKt5ZjQ42Wefm/C/MhEscTMdRubByeBUp7mvXnVqumiq07h/zPvqzsLjW4NzE4EDI66j k8Gt3YD23rmtoYkOfU21bOJY48hrnXt3RM7V81+rYNzoUl7rAI2xcr5duN1C7RKhLSJCSwbp3qaN ILHzxlXUQVhRpaI79OjrcdHVlP6AnbHbQLtWo7xWbwK4Pl/Ku5pUztcbzsako2JyH5d8JCw6E1OA KmbGwbhcJb6aVFxL6S9UyEcUaAokdh4CtugNETMsmBZYBBBMuC6kSQbwuFuOQSQZiObaGCrQMyo9 vHTCGLUKjXIGfOpYsJbERXUK+BfYyRIzKN7Bvi67eCoWUs0YKx4xJIssmIgiE6B6JbO80BgwCHVy ulbOeFgVA96qUiHHaZJWB/AqNTmlR+t0qI+PyiBgi4QORjVqMK0Rg7qbZlQwIUrk1oQEojsej9LO JDk3O8U3AdW7RbfT0uttoivtgvk24T4/mhJkPE8fBvbM4ilNRObIyVIdR28VQ6INOp2Ixy7Vc11+ hccPErs8WKiyGrlgPSLhU4V8Go9LcVoUtcnomfNnpnsGIAQsSOxZByV4Je0QTU7PhWACoIrpsSna tZwwh2LXSDwObchlCjpMXquurNz29u2pz9/c+fm9mc/v7v78zq7Pbkz95Gzn+xAc5mzru4eq3jtR 9+GFDgLYL/TM7y4FB6UOKx2060MuZb9DDvF7e82SLrO4wyBs0QiaIZiAglMv4yZAS/47f1lIWdiC igZ+MH2HAsBMbDM1sAUBG4R2MIZXsEAnT9aIhcXhCr+vKOCLeJx+p9UJLj5WvdGhN7p0GDgfZYE9 c/cjG4AvmBeAlE7oBDKLpKBdx8HkBrIMU6GSzEKQkEk90t8BAW8L3BK3WQoaNoREgtVzGpg+ingY JrXZtMXFrlDYadKQ7l1a9ohCBkR3SLrx2YoTMyskrOV/AY6hj0Fi02VZORxw+9cK4PlDkE7kQnp+ zWobzp3qiMzNtG7b3hgOWVsrgm+dn9jSYOtOeCvKIUo1tylk3lJXBD65Lo0waMfKfeqgnBxR0mps nLiWUoKhQRnFwqeCfwcYdsLEpF6FdmgIY0KI5gqBbbMMf4QvGWBv01MPxpmVEkJih1DSEOYCkqDB IjLopoBpcBdoPUYb/ffmZw/Pdlw8NXX1xPD5Pv2+GB1c9UFcd2TSX/ZZaWf7w++fHfz8SOdULUxk qV0V1uFmx0S9LaHkOFik4SrbZLVx52hjXV3RXKP+TpfgcCmlik2u5tN3JbSTNRhEJNi9pbjIxk9F FE3ljpRLcbDS0l4TAWAvdwg+O1Z2rhtrNNJrIr7quN9qwQHYdzfr7mx1Dbr4bcX2yqB6T1xyoZp6 v0fwSozaKCZ07DCPqJTmNyRK06M7bx/uu/ZKqrff6wlyQyF8Zudwd7pJrcUYTHS8r7Y2ZvUo6Yd7 Y/U2oQxC4GYmdFomNWiCnN4ZYA9Y7zR6vKCK0crq4/B9l8Iqal99bLwlMtduu9Akna+nvpXmvjvI v5yib1WTzxWzfzpsuZYQNoLnl1bGY1KCdq3bDIMOzUrs6T5bV5n8bG14t1V+sMB0ubvqXGv0Yld5 b6GhqdhQ7lXLOASwsxjkkQ77sW3hwxP+07tKBhrxyW4rCN7HtoVemQrsH/UVuulWI2P3sGegWdtS o9g/ERpo1Y732sGP6cBEYG48MN1nOzxZONBiAB+loU5bSy0er5SOHW0eOd05u7PwbCPvVAUVjLHn 2yXzXfL5NhEAeweoYkREPAEIs7PTSD4a5IypKAMitJmCbtdSz8cl8ynjARtjWkedJ4Ddcr5CeR4W T2ux+Qbd2VLJsIjczyUfDvLOxuRdsHgKkQcqhAD71+uNlyoU4wq0nkGoYopssvpCAHZ9oU1sVdET Qaw6oClzKzEOhQOKOwPfqwaXOnZvrbPMITLImWoVADtNwKNY1ByTigWzSJOKJ/4qaiOPTVEKqHaD 2G2UqwU0CZ9swNlbumL1MTsIvACNoJ59+AeqbrWKE/eqKjFyvQ6t1aIBHmGAh4vp4P6Jg0m5hKkm grqzDArGVJX4zT75A2DvAmCX3kxLYHYz3yq80ia83iEGYK8H5RWoYkCrnJXYQXyCN4iPyFR0nYmv Mwl1FpFKz6UxIIYbEiq1bR2v7WwOpdORns5IRZFWyqWWF6gG6xyVHknALG1IlZ+bv3zt9OU6r8+p FMPXAIiHwaOjIKVyeodDmbap2oxgpcwIMyk2TBT0GgY7KjqShQGLNlpquXd19KP5qffmpz64sf2T m9s/vTb17tnOD851fHSp/6NLAx++MfDRpUHCMOZc+7Vd0QOt+nYzrc8mGnKB+bq018DrMUrSBlkH mEpqRC1aMIzhN6n41bDw9i/5wdWPsvyfbwZABmCXZRZbpeByKxGF/DGnM+x0Bm12r8Vot5rseo3R otWbwaSJC7GjAId+yw8WbSH6EyjtocAOxKyGuQCIZFAvpiIFFuVAKnBspmXHdDocc1LoSD4Jga8q ZEakUKjgoAp+shKJQKtVeDyGWMzn81lLvOs+e3sZEUAerB+zChnYgn7my5X3Lq+sKVn+1OPLvvPn gNjLIAXSr6H6rx2SXlznwTntNeEjE9U3DrUenmnt60+ajFhtofPN14bbS7HmQkOqIuxSc1u8ypEK a0NAmnDxKu2ccgMdtIJqOiqABIugvKIRcx/4eoFiFky+QSyvVqGdWmJxE+RqCEsOSvgsnx/mEXC4 w0A9WMauFJHhExBiEylgIG9jWIGqmYRGC35hFXMw6Znb3THcH9+9tfns/vZzaWxvCQVS6oAqxgsS OxUdcLJPbym+e7Tj/f3Nowk7BLHrj5u2QJaERmu1im1nk4YSlokK7faB2urqyIGU5m638DBI7GC7 xaNNl2u21aou7a3YNVA4kNRNd7sbyuw1DvneuKGjtliOKctswk+PlIHE3myiVBf6/G6rWqOABDUj CdX93cHJQkVrxJIqMu6K8i9Uo/fTnKNRarMETYJVDOQtEuaXx0rA3PH2kd6rc7VdvV5niOuFdPbp 1obGOjwTLbG3JVpZoA7p2We3NdWaRQDsMDZghMC8Oe4DrRXheVoTst5qdLlYNB0mioftSjnfpJOm 66MjLUWHOxyXmqU3Gmn30+y3eznzKcYOkNij7C+HLZcruBBXrbc5Lhcx2utLUpWFkFPZ5hZs2xPr 7LP2JdXn6gtn3aoTVZ5Xk74T5U4waE8HNYmQvsChlnMzwM5Eh1qsR7eGZoace0eDrUn5eI/5zO7o /mHP/hEIpx8uDfDMetqeMR+EhUlWiUd67F0t2r52c3+HdeeQ5+CYf7LTPJp2pBsNAx2Wvg57Uy1e kVRMnGgbe61r346C1+v5J+OU651yQmLvVMy3iXdYqG0CFHyUwCQGgH03SOxBDiyeDoKDEhXdbqBe qISvmOmAk7VDR7kMGTQaLefLZRfKeGD6eLXBcKaU0LGDKgYk9rMxVRfo2B20Nyq4VzOqmAtx2RgA Ox1QlByxSWsjpkRIC6oYs4JRFcKTIXXcJcfYqACMjc0iu4ru1bHaqyylNoFGxlDJ+eC6yBdQ/E65 AaPrMbZexRLC9D4zoInoiBKKHywnDSIpF4Cd0MNolRydiovJWJgEJPZHkAHeFbWaF/epKpRkENeT GtTLReUA7FIquMCoZFyZhAYtwI0QmmCyUnivX3kiyjhdw7mZFt9IS66nweEUVDG8q61CULPvzQB7 dQbbw5DfloeayAhbyBoZT7x6OH3ptfHaqFVt5KqNPDok3yaRDR7prp2pyYH4tsmayaHKlioneGCN pnS1fuFgUlfrU7Q3J1597cSR3burYHoK35gMsINDZX2JaXe69ORUy2tb216bajg3WZcyy01KfnV1 YM9k48xoqjroiEUt797Z9uXd6ffnpz69u+unb858cW3rO6eaP7jY+8mdA5/cPvTRnQOfvXnwg4vD 759und8eOdSm77DQhhzicQ82ZIcMShBPQN5jUaZNAO+iNqII23XCGlgT/Zf84GoCQX9DLQ9tQCW8 YqByVxIeT2SDXBn0Rz2eSACEdgh5Zff67V6PxRa0WkCMhlhevwns2WZBUAc8B8dGWI0FbCfWbTMt w4xbxkTiYUOywi6RwaghvJwexj04zDiiQg5xNsQHM4CHl9+UKPe5rXiyeM3PP15OJPJbUMgAtkN+ pS9W/v2HK/dNrlAKlv/ge8u+991lAPLgWwR4Dtvlmdjpq5YvX7tqlYCeV+HDj/eWvD4Y3TfefGIq eWW6ZudoIllboFMJG3z6+dn6vhJxjYnaXiBrCAgrrOyQiqaB+Id0wuzHAJoQWJrJTHOAV1mywW2H Db63dArUN2Bop57wviR0LEw0DNFQIVs9FVRPYF0LIA+Lm4RM3mOkHIjRqhVonZFbp6WC+WJAyXBo +HwWmoBOzfRuj3SqqfD8ycn9u9rPnZi4cnLLpX7tviIKzNPBihJajjLQHaXaS9O1N+daPzjUNt0S NIkZHRE1JL7Z2x2ogQj8gvyJOtt4mWrrQG1tEoAdv9dL+IdCNrEqDjoZFm2rUZ7fU72rp+DsZMH1 uXiqzJRwKQ/VOdL1JXJMHrXyPjlcerEHazGjiUKPz2nB1Rlgr1T8ZLZge0yd8OAQAGpnEfc8AHs3 +1iU2gLALiYSACXEeVWVFamRXZd2t57cUQbA7ghwPAG8ubU5UZNUwboahwY5+6JBJQD76amGpImQ 2GGQgNCuY9PAb5FGIRZPawLWu3VOiOGrx4XxiA2A3agVp1Ox0eboXLvz9XrxfD3lvQHeh0O86/X0 nVry2WL2l0OWqwlBu54atuNCDlmPCbRqcOZAbW7h1Gy0s9/e6GPNedV7rNJDRca5oGa/S3HAiw8X muuKbEG7SpZRxTAZ5MFm+5GtBbAYOpy2N1UrB9oNM2Oh8R7nZK9zrNta6GVajIzZseBwq76mQjjU 4+hu1gOqD3Tatw96ZkcCI12W7jZzZ5MBKvvarU216lhCPnysafjVztltofMp4Yk49XK79Gqr5Fq7 /HKzYLuV2iEmEoUAsJcyYbWUfDLMnQKrGB6oYsg7DLSLVXKQ0g84uQDsVxOS643m8+WS86Xcq3VK kNjPRAlgB3PHVyLic2WqLhZ51kG/FOe+kZBcqdPC4um4kgB2P5dcaJfUFhmr4CtmFpvlzIqguiqA RZ0KmJvjcmEiajcrqT4dvTtpLbXy1RK6QsYl/Mp5VJNeqFfSDDgDggbwGA+AncEgS0SUeNQY8yrF PFQMRuk4M+KSKkVUMA5XQoi3h4GdQpEKaBqME4cgXRg5pUVr1aiHCxH4UbWU5dYKtRLw7mdFvNoS ny5Vat3frAa9OoQUOFXFutUlvtElme8En1PJjTYxcOxqu3hfALIEoklY2RESLxoE7zUiiEjBP3m8 751r2z+4OdsKWWb1Ar0RopmAKgZVmQUD/bGmpK0kpk3WuCMeuU5K6ajSdJWpW0vw8pC2p6Visq9h qCXZWOQNgWk+BQFg4ohpr58Zfv/67PvX931088Cnt2a/uHtgoMhqVXGaGwtnRuq29SWrAraKcvt7 96d/9u7sl+/s+/LtfV/e3/PZ9a3vnev48Nrwx/eOfnL32Id3jn1279jHb4x+cq79OiyetmogosKg jT/hVo7a5YNmMfgoQdrTtFnUaRC0QjB2jbhJxU3AytlvCOGPMDVzFmqI62Af0t8w6eAXBvLhw5fB KbgAtDHwoQBDOB6FrBdLfA6/y+bxOHweh8dptXssVq/ZCEFbtApw0CHCBD78g9kLvJ5gYAlmkwCD gAWA56BOhwZhB1rOEgCfA+KL8Oi9C+0QkWToNAgyICQiq4t9ZjwVtW5pDUVcyrbE6r8GbAe5/WFs B3j/dOU/fbny49srxtLLubRlj32fKJDhGpyM1j/7DDVvg1nJaI3qjgxWXZys/Xhf8/neyHR31aG+ 4te3hHZ1OAcTui4vd6hQ3BEUNthoTj7hF0BYrGQwfIFMNURZ4aNgypKdeoDsDcY85WreSLFhm5fX yUNGNWi7Fg2C2Q+CFFBJITrip5K65JSdFlYJF6LlM3EOsIU87KLOxWgDYc5Yjb1Bx7YzKD63WquW qAT06XZdV5DV5eHNdJW8e+uVU3OD1y/NXnl1+MKAbk+EUMCCxgYsT4pp6EhEeWEqcf94+v29DaPl Foh11FGk3VLv2N8TqNcLvPz8yXrHSEwx2Zesri7YX6e6280HVQyYO1awKZMFom3VitdnEtu7C0+O +K7sj9aUaKuciqMtvp7mUqlaXmLlf3QoerFH1WIgV4bAacGkVMlQEmkoLnl7l3eqWFEfhNcZ31HE vpik3O1kHCmhNEvRGiG4ncIrlm/3hmuGZ85sS+0f9nf2uJ0BtsevbmprKQdHHUzB4dB7G4tKvLIg TptrDSf1PNCxg30UWG8aubTKkBZWaUFirwg7dpXbFQyaCROVF8C6C9+okaXrS4ebig+2WC82SN+o od7tYn40wr9eT9umJZ+JsD/dYr6SEKWkqFku5MN8U8ZVK4Uwwu0e4bbZaEevpTnAPho2TRulsx78 aMR8yKM6VgCu4vqqoClkg8sJiR2AvaUa3OftI2nnSJe9OalqA8fSLnd/O0QJsG9pN0fcDLOeDp5K 6RZdTaV4uNva3age6DAPdtih9LWYwNARruxpMoKFzGSvo60Oj1bKRo41D73aNbM19HpKdKKUBpEE 5lvFIK5faRbttNEA2MHiEbyTYkxCx34sRJg7glVMC4U8raddrlTM1+kPOAiJ/Uq1+FqD8Xy59HyM O1+DzdcBsEuGxWQwd3wlIrhQpuqGIGB2+hsVnCtJ2XyKsIqZUKENDDTEJ4NXb0eVo65IHzaKVXyq yyhxG8ROrUDGAEzmxcImr5Yb1LKaSvUxi8AiZ+sxEYdBZ3HA4lRskoNLKQA7g8t48NYL+WxYYAUf pWKnXMqjigDY1czKMA4G7UoxGC5CXKgH7zS87DwBs8QHoMEq96viKnKdBk1pwFsfNWs4+6e7Lp+a 2NZdDdgeKzS01vmmessONanvdMsOF9BOJbigV7/VKb7RIbzRJbjWKbrcCounkn0+MDxDUzK0BuaJ NLQUFk8RRCDjzh1qvX1h9Pa5idYKh9EsMhoE8IeCFX1xpfPgzqahrsienY2HplubYmYIemMxcCt9 8I2jFhYY90y1zI41HN/du7Mn2Rh0cZB8ACsA9lPHe+9f2vHulZn3r85+eufAF3cA2M3FAfW+Xe3X Tk1ePjH2ytZ0Z5n7yHDZqyPxY0PxY/1lh7tKDqVDt+aqYKn04zv7Prm174Nbme2Z7veO1V2bLjzU ruswUgdM3Ek/NuJSDdogKrscnE/7rbJ+m7zbLO0yyJsVPLCSolOQhwvj0cOHT2X3aVQSyEVQfvMU 1LAoCFgmMCmIikUzqeR6hRSTiZUSkUYm1smFOilfyqeDVTOYpS3cDj2CvANvhoSCyCiIBrLK8hEx BRGiCHjBy9lEX/+/7hYaWdhh0shsBkXAobtF7IRJ3Feum2p2HB6KlYOTWu0zP3t/GZFBD/B8Ad6z YQd+uvIfv1z59pUVg20rONRlm9evhTyMFWFdT8q9u9N7bTJ8fbL82kj0vV3xN3pdR9vsR2pVYyFu o4tbamR4FRQMwpIjEBERsbAQwJYFYhZ2zDQE8qqLUeK5pPCkKOLi0A5Uuy92+F8vF50JMg55kV4t qYxPjWpllW682CSJOZUNZvZOE7rVIZhtsCVdgkYf72AF52ScPFXC2tnsHnAKC7hkv0OhVgp0AnRf m2KoiDZeJJrrKf70/rFLJ7a8fX3f3fNjN0f1R0qRKg5SSEViLKSUikyEBNe2ln9yJv2zvXXDYaWB h/RFVeONtmP9wXYjr1hK2tVoHy+RTg/WNKQKj6YUH/RwTsfJtVyklkueLRbur1fcPlwz3Re8uDP4 1rGy5jJtnQtSVLtH2suUGnmZhfM3x2O3h1TdZqQm7An7zRowREPytlaJPznonS5VeUXMsF54MMa6 VYd80EM7U0buliONQqQMpmP8zd5wSdPEvtv7209PF/cNOD1+Rjis7exsSSQr1DisodF66wIxFz+q ph1t9UDiVDVCUmVY6hCh1SGMRs5H8/NiBbZiv45FJ9u0wqoiG+hgbTrxUEt0d3f0/KD3zS7l3SbK T7poH/fT7zVS92pJ10sZfztmvJfktcsROyYQcUg6JUATj04heSBZyaHSwSFTh49yOogfNAmOOCQn fcoTbtkpL9btxMr92mKnCueQIYcEh0VK1+t3DNi2Djh2DNi76xRbWvFdQ+5tvdbZIffeIUfcR7Pp 0e2Dtom0sa1WfHDSO9Wj3TNiPzjmPjTunZvwzQyaT24P7+w2zY17YEV1oAWvSki2v9Y6ea7z0K7g fAPnUiX5rW7x/U7+Oz3ie538vTa0T4J0CZFqNlLORPZbSOeKWDNK8naI2UhHDhrR29XSew3aky76 fj35Xkp4v1l/vVJys4L9VoPirSbtfFy0XUKaFJIuxoS3KhRbmKTDTvRugnk/Jb7XoLpZJZnRIu10 pFpBai6WHhotnu0NV9hFaj4CbkcQg96p44ohCoRTMtFTmvTIQzgt5uAVGVh1JZbuVAjMRjmM/AKf JlGoq42Za4qNNsjlQ86HN7S61AxhxOJeaYlTAo7qMj5iwmjJArlGSIK4MRoJhU198BIBUPAhtmRA bcVY1T5lDUZq0SNtesTLIJUWa371v+Z/9csbH10/GISwV+AJWKRL1zqOd2Ifj0pOR9A3atnAqHcH hO/28qC81cO/08F9s53/ih9pESGNYqSRj5RQkQo2YkXyxTJGa6utr8MzMRAZ7goXBGVGE4vNJFFI +f4i9Z5tib42T29nqLPZU1GgUnDR4oBsrNFUZOaUFBpmR2r3DNccn+k8OtnUUWgXkPOAbJ6AcvZ4 +su7+35+/9Av7s/91e3ZLy9u6w1iY0Ol//Q3l375wcn//fnpf/wIZr3OVt6mISV5C84eUHHTYmaX kf7Ombp/uN3/i9tb/u7O8N9CuTX4dzf6f3G18+19xSd7tP2ACU7WwSL17qBsu0c66ZKMOyVTLvmE WzLuFo86xX0aRhMX+WEO9nB57NHDh0/9PvsLtz+Vhy8n65Yhuh/lq5/M1ywlaZeRYKt5LBf7wW90 8VQOtjQHeyKHOAXl8cz+kznYckT9ZB7++/S7cM1jufgTeeqnSNp1FH2+wMzVelSusKu4orCmHnf4 vc6X3zixjIg28LANJIA8FNDM/PXKv/+r5cmyZy3ecKK1JVLbaCqu0nijdn+hLVBk9hXgdq9YZ2fK jXShfh2qe3yz5vub1VB+sBn/fg7+DIKtzHuEmQtU/Xgz9kw+Bk8EzwjbH23G1iBqsthOF5m5QoNQ aqTx8I1U7HmaboMi9JK6ZLUksE4ZWc22bqRgTK5BqHTRpVaGws6QGegCPI+nReTuPJ55DRl/hmFa iuqXkyC7jzlXoCGLrajSJwvWsG2lIm9C4Czjq600If58HrZ6M7Y6F1u7Gcthqtlqr8xZrDCGcjjG 5flYjsCcK7PTMc/LDN1aMp4vtuZw9SQ8/KLUQ5OapCodQ4Cvz8PW5+Fknh6VGgWWEIK5OXq30BZ4 UWBZzzQwpPbNct9SqnEtQ6u0+QS46WUGvp7rWstzLqcaYFTki40ys4skND2D6FZT9RS+li/BpCo1 U4BvRLEXSdhz+VBUz3B9L2oTQnMx2xjYhDlWsTWrOZYNisJ1osBS1AADaZPM8yxLv46h42iDL9A1 yzYRI+dHOdgqRL1BaAeGf3+T6lmufQ3HBiPhx1T9Or5jKar7MdWQq/CjeICn9QpVZiGEjFWppSqN SKYhUzGeQIOBD7lYtwHFVlJ0T+Rhy1AtFGhtFduAmgM5uPUltprJNqE0LYWhZ3JMdKaRwTJvZFme 41ifZZqW5uHEuM3DN0qtCG4j4Xay2rlJaspTWuh6N4o7mAYv2+Bbx9aupOF0g5eqceVIjRwzkOSg 6VwMnRsKXedCMCucylNYSZiNpLJvlJrWiQ35jsJcZxHF4OZJtRwRLlIZRQqdWKkXKvVkBr4RwV4m YfD/PpeLoXSMBWMDBbctbFMuRqHhfJFRKLUwWBqUhoukepHMwhMZ+EKNSGqAfa5AD1fmkzCuwMAX mXJyMRpTLRRrRRJiTPJFBmDOhlzsBYp6o9BEUbvpWt96tnFpPrYc1cG7vALVPJmLLSOrn+fZ1tJ1 T1Ow9RzDGpp6s9xD0YRWU42PbVatYho3K31kTZiE+Z9jGh/LUf1wM76WZ1nPtaxh6lfTdT/Kw57M x1ag0AjR8o8QfCmCP775wXsEXH2CpF7HMa9ENc+zTOtRbAMd20DDnoaRzLeqSxq1JU0ST+IZqm6j zPuSyJGn8rJwm1RtYPFxjkQjVOrEmF6C6cQqgl0ChY4v11HZ2EsItp6Erc/H1mzGnsvDVubgj5Hw 5Qx8OQ1/mqNfK7CsYuuX0R6A1VNUTQ7mfZ5vXsHQPM01LKcCoGErqJpVFCAVy8GDTEMRGQuzraUs Y8kmoeuJzRmIy8MphrDQXiqylwqtUZ4xwsED62naXE1AE23Eixqwwno8nCIJXBtJqlyKNo9uzKWZ cijGTUydxF2EB2KYvwQnShTzx3B/DPNGRUYvQ2neSMNzmWqUZ0TY+lyGNoeu2UTT5FA1m6jqTVQ8 h47nULFNKLbkJde/VnnRueQlKP9q7f/Wlje4lrzsXrLR87XN3m+Q/H9GCT3BL16tipPsNZJIC98S 0WqRM3PLidzcX2Tw/GHR/acr37u6wmFHjGVtxupuTrAhx1S9WlX2hKDku4yCb6Ghb5ICX8/1fS3H t2Sjd8lGN9HRy64l0COU30rM765c71iy3vmgvOBa8mKmrLcved62BLZQXnASlbB9Pntldgs1LqIG 6qF94prMzvPQlIto7Xn7kmctS56zLllrWbLWumQd3PUoeXD7OvuStbYl62wPGiHIcBA3QlPQI+wT nWbJgJ1My9lngXq4+DkbQQC0/BzQ6SQufvh2qIRbCMqhHccD8oi7MvQTjwm3QC/wFJkt1Cww6gX7 knVAPNAGjcDt2cfPUJJ9zAW2wAVw48OcBxqgHajJ9gv7REcZAmAHng4K0SzsZ7pe6B0oIbiUoTnb C0Fkhip4NOJxvqIEKqHmkZLh1QL9BB8yJdsg9AU7BK8yXcPjQAvEfqY7gpgMG+EwW7KH2RZgCyQR fLNl/iw4zDIt848QT5Fh40LXxPMCeV9Rnj3MtpCthH24haiBdr7az96evQz24crs2WxNlgmwhUOC wsyYJFrO8irDIuJslskZ5mQPs2OJaBA6ynB+oSZbmeVhlttEg5krYee3Frg4ewFss4VoxLFkjZko MM6hHaCBYH6WpQsDLPOYWV4tbOEZf3sv0GaGDGgn22P2MugRmgUOPKD5q6fOUgKn4D2ClwXeONiB excah0N4AaHAKWJI2wg6gYdA87Nflez1RFPwjJkCNMC7+WzmxuztC1tiwGRZkaGToOcrhmSJeXi7 wbHkP1f52suOr73s/KONzm/mur+NeP+SEVwqiKzDShF7tbigSeiqECkZY+lVP3+HENEfFt3/7y9W 7J/8sUCpMFZ18oKpHFPlaln0SW7B/6QF/5Ts+5N8LzT433Nc0PJ/e9kJvfwn49vi4yxyYJEDixz4 Q+ZAFtu/vtH1zc0Etn+PHniKX/isIpZrquIGUlhJE0upL/C/eOHoin/4NJP8GvQwH638hy9W1JY9 S5ZDWseWXHPVGnn0cU74Lyj+P8n3fGOz+482EZAOn4xM44uovsiBRQ4scmCRA//WHHiA7Ztc39js +TbJ911a4AlO4TPSkg26cqa7VlnSzDVFRAp2W92an1xZ9n++WPGrX6789OYKrSaPZo6j9uRaVexJ buF3KP4/zvV8fZMrK6IvSul/yF/zRdoWObDIgf8KHAAcBkAGSRvkbZC6AaUfY4VXiIrX42WILSEq bFIWN6Myq8OeN5Ze+cm7y4/sXknmCRmeuhc0ZctFRd+jB7+V782i+n8Fdi0+4yIHFjmwyIH/KBwA eAcVCujG/zjP86dk7/dogSd5BU/Lil/Sxsn2an64iWqupKo9cjWVw1n/Ate4QV+5Ulz8Q1b4z8h+ 0ORk1C//1tON/yi8XaRzkQOLHFjkwL8XB7KiO8je38h1fYvk/Q7V/0NWaLmwCLTuAO95lgTiTK2i Wpc+z3qWZ18liz7OLvguNQBXwucAZP5/L7IX+13kwCIHFjmwyIHfwQHA9gXR/X+A6I74wNblcU7B MmHRj6Ulz8hKnpZEVvKDS/nhx9hhQPVvkzyL4vrv4OfiqUUOLHJgkQN/IBz4Z9E9o3X/cxTgPfAD Zgh07wDyP2QX/CUjBGYwIKuDZePXM+I63PIHQvwiGYscWOTAIgd+Tw78P0hbDXMKZW5kc3RyZWFt CmVuZG9iagoxMyAwIG9iago4Mzk1OQplbmRvYmoKMzIgMCBvYmoKPDwgL0xlbmd0aCAzMyAwIFIg L1R5cGUgL1hPYmplY3QgL1N1YnR5cGUgL0ltYWdlIC9XaWR0aCAzMzUgL0hlaWdodCAxMjUgL0lu dGVycG9sYXRlCnRydWUgL0NvbG9yU3BhY2UgMzkgMCBSIC9TTWFzayA0MCAwIFIgL0JpdHNQZXJD b21wb25lbnQgOCAvRmlsdGVyIC9GbGF0ZURlY29kZQo+PgpzdHJlYW0KeAHsfQVcm0n6//7vd3dr t9utlyptKdSou7u7e7uVLXWKS3F3d4fiHpwQCCEeQkggkARJCBIkQQIhEOM/IZRSvd293b29u8wn n5dhfJ6Z7/M888y8846MKJ2SAkoKKCmgpICSAkoKKCmgpICSAkoKKCmgpICSAkoK/Bkp0NXV9Wds lrJNSgooKfBbUyAjI+PDIqVisfSD0AF+T79g+INgZYCSAn8EBWQSCZ/J7Cwv78BgOrDYP9uvm0od 6ul5jxBS2QitR1bNk1H/fb8qnmxANNaurKysd1soLkgMeaGj/+zhk5KKhvGo7hr8s4cPTK29SLSW 8UClR0mBP4YCnXg88tkzyO7dKWvWJK1YkbRy5Z/rp6mZvnlzwdmztPBwsUAwThOhZORxqeg6VHSz 6N/2u1IoAqxG0aT3wC4d5Jw/e7aotpnXwu7i8ooSAx9qPY5Jh8W56V+69fzF3VOHbz7KL8hLysWw SOikDDwVB8VVMSCvA17q6qeXYGsQhbZWVlGJ6XlJMUZGevGQIvF4z5UeJQV+FQVYEEjmzp3JK1em rF2bun79n/OXsm5d8urVyZqaKG3t4d5eRUcB2F+UiX6Eie4Vi+6O/oDnD/7dKhLVdH8c7CMj0pKk qMdPnj96rgsthT59Ycfhca1NdaysLCPSYdnhrgHxBQO9zU4mRt7Ozy7cuuvs6YMgs0oSX3s4W1x6 9CzR19HW6zWNWHjy+NUAP5+7D59wlYr/r5rhykwKCvCqqjJ37QI4kmN8FFDAA+S7HPjr1r0H/7Hw UYYw0f978wfQDFCdooVA8SA5OCgaPw7220UiIOIfwkXA84vADhgFyAIYxS/KNTHxZ8AuG+ojEqsH BgUJ/lbPzMx19Ny6e3sszHTsrKwSC7C41EDvGIhEJvM0/PH0I9MYb+MjZ56w6it/vKhdmJ/06Kl2 tL9zOqJW0EI6efpeUnpuYTFaKB7jKsrZq6TAL6aATIY3NQUauxzga9dC9uyhBgambdyI1dcve/w4 7/hx/KtX4N/kVavkUnX1apyREfzePZAeQI9gZlby44/yvIAnAF6xbp2iEEVKIIhBgW/9a9Yo/Ap+ Mh4OPCCv/DeeGIBaIcRHA0E4qKLo8uUKBwd5FaPFAj2kl04HnVWA/TZMFEWTVHRKiZ0yF5L4zih+ AYqB5+7oE/gVPxCi8CjQCmDuQBSDVb8hWp5LETv+HPeMFVU8WuDoE0QpSgZc4nNgF/f5OdnqGRgZ vXJidXKhiaEvXmoHpUOrEXlwXE1/G/3p86c5lU2Uooy4vMp2KtI3PFsy3ONuqWtgpGPtG4jKz8SQ G0akovQgXwMTU4+AiCGJEuy/eI4rMygoIOLz80+dUghN8Mw5cqS7ujr36NG6uLhKZ+eCM2fIrq75 p0/XBAZSAwKwBgaM16+bCwtpkZElt27Ro6Mpbm44Y2Ow0gc8IfvAAYBZ8AQpaWFhWXv3Aj9ISYuI AP6iq1cbkpMrnZzSNm1CvXjBiI5GaGkBzILy62Jjyx49yj54kOrnR4+MhF2/nrF9O8XDo9rPDwRm 7d9fGxLCzs9vzs8HDESO9/XrAfOpT0xUgP0ZQmSKFdf1yvRRIieiuJonfYUTF7VIURxpYp3kKUKU 3yTFcKQmWLFHpQTWLCV0ygDAAVoB3gFOC5ulXOFIeI3kJlT0mi6p7JIFVou1kSJEmxTbLjVAi4Oq JYQOaUSt5EmpKIslLW2VOlWI7cvFJS3S3CapdpnoBvQzarxyoikp8GehwGB7e8a2bQoEycF+8GBf QwM7L6+vro5oawsQ3ZiSAgAIcEe0sWnKzgZMgOrvDxBan5BQGxZGtLZmZWZW2NqCZ/rWrQDsgFEA dA92dAChDwAL7GlAQ8g5fLgZCgUqBLABAiNbBw7HzMhoKy0FuAaLiBYoFGdoCP/xx14aDSAa8fAh 1sgI7AW0weEULy+ilRXgBqAK0KpxsCcuX07x9FSAHWDQo1IM4AxAd79EBMS0N1lM65ZZ4MRUnhTA k9otA8DPZ0vTGuVPwAEKmqQA5kBeg/V+fZ8skykldUmBcK/tllkRxD4UcUajBAQCJcGTLGnsk+U0 SUEyV5KkdUAGMO5XJUlrkICKitiAG8jNg59es/9ZBlrZDiUFhrhcuUQetcvJwX70KJDsQBADyQuk MPzOHWZ6Oj0iosrHp9zSEiAUgB2IcoyeXmNaGkgDtHr0y5c9NBpgBcC+B6xneBOTdjS6l8EovX+/ yssLCGWQOP/kSTmiTUxAeuilS13l5UD6A44BOEO1j09rcTGAP1DUa4KDAcYB3yi3tm5HoUAUkP4k e3tGTAzgKqCEcbADxb42NFQBdiDZjdByyW6OEwOYV3ZJHeXyXfYKK5fyQPgCCOcwpWE1EghTCmS3 f5UYypYCBR7gPaRG0i6QwVulnYMy/yoJwKwVXgwkezZLCuAMeIhvlYTJl2UzAX+QgPIzmRIg2Qmd UqAkQBolzD5ZQJXkaqES7Eok/QdQQCoSgTU4AKliuZ21bx+QxWCRDoCJevas8OxZYAoDMroxNRVg DRjtgZwFKC65c6fCzo5gbg7EMVjXA/4A5LV83b1mDfTCBcAQwA8wCqCBA6EMoJq1Zw/sxg3AKwDA gRqPNTQECgMAPtD/AUMASgJgIKCcmqAgkB759CkIB/oDyFh4/ry8SWFhIBzkHQP7qCbPKStTgB1I Z4DcgCoxvgMo3jJLvNiaIGb3yzDtciEOWEEhW66Q25aL/aslnmQx0OGB0g7UeJArniFxr5RcLhAl MORRSfVg4S8DerseSoSTlyY1xIhCayRojjRhdEUAWEdxizSIKgFqPGARwG+MUUr2/4B5rmyiggJA RieP2sQA3oE+nzQKfLndbNQgn7R8efGtW0CIA6gC4a4wzYEouclu1SqAPqDhgxW9QjeQcwwQpakp Twbs58C2BvyamiAZYAUgXM5VgPEN5AX+0eyKQLkfGOhGE8irfuNXtGE8jbyF69eDAgG3Uey2T7TG PyiRL8PBhjuQzvlNkp9KxgxuwIYGogC6FT+FtW3MQDcaCPwA+IpYkAuY+0Ca+2Ajb9QDwh++KUru HzX4Aw9YMoCMIOVnDHTKOaakwJ+KAhKhEIhaBTwVaHr/uW4dEK/j2v47sRs2ZO/fDzQBxar/nahR YP7mIQD4YJXRSSAoaDgOdoC78e0zAFiwkFfAWfEcj5oY+FH/eMpxD0j2Uf94oBLsf6r5rGzM5ykg 6u8HK3RgAweQl//ACbp3f4nLloHfe4GKfz8V/tHE/1Ig0BZWry6+fh0c9hvvDgD7R07QQeUW8j/s TN2VAhEwESia9N4JuvF2Kj1KCvyJKCCT8SgUYCIDNnOMri6wqv25fvr6gB015eSI+vomEk0kHQGW Nx+KBFjS/l0/L7KkuV8J9onDovQrKfDfTwGlZP/vH2NlD5UUGKXAJ8AuoVWVQ6EwPJHM7Rv4FaQS 8LuZTJbwI2/Kfq4wmWSYzWRye/s/l+hnxLXWk7xcnZx9Q9oF0rb6Ck8XR9fA8PrmNkZd47D0g/wy UWMdraPn13Tzg7L+sABpM7OuuaP759QnGuyrJGKKSkqo9EbRb3GeUTrcEx8XRef0jEiHGDRaj0Ak FfJiY6PqO99RYn9O235Rmk421cfN2cnLn8kd/EUZlYkVFPgQ7P1tdQ/Obp89V23z1m0aagtnz1uQ VEb6heSSODw5MWXqNI+0t8aKn1MCtTBkxtQpe269+lfenhF11R9Ypbpyy76LDx7jK0kHNVVXbdt/ 7ckLvwBnzW17WoUfNGS4fe+W5e4pxR9EfDKAkBx87/4LySfj/4CI4Zuntz9zDf+nNVVmRW5etUh9 xYpt27csnjNbc9O56uZxXioTCoUiyYfsD5QqjxJLPxo1MtRFnT7lq3B41Uhf/arli1MJjWJu1Q+T vopD0/5pe351Agm/7cwmdfX1uy7cvoVufP/N8V9d7P9Uxg/BHmv7cPLc9QhSw4BA0Myq93G2TCsj K2jS3EDNTE9HEarGJ8Ewn4sozC8pwzY3s7t4Y4xdwCEvUZmxUEVlx1kthSiRiYea2S39/X14FKyg BNk//FGgSHVvHp6lsmjylHmYxjGZxW1v4/bwWQxKTm5uXfPHL9Xp6WjKzcqEwjEC+fu0MkxG0KzJ cyHE+p6ePmSK36ypC3JJDT19Al5bfR60RKhoumyYjENBi+DMFlCmCA7Npzd3KvrYxqRBMtIRWLKi iQO9vLZ2Lre9qSA/m1BVJ08jFsZaPl2+dmclo47d0j5OCkX2956MKkJOTh61tq65pU0M7jIYdYzq 8vT0jApqo+JfXgenq7uPXV+dk5tDa2ofL6Gf11qQA8mHIflD8raIhf3s5lbJiLS9hd3RxcMjiyto TEViflcLHFqEwpL63r1dhFOHWPKPv+2/a17fwhEM9NPL4devPYCROG+qGNQ9ezW9tPbNvxP/9j0+ dqmgnDUxaNw/xK1dMHdKdCllRCoozMtt6R4c7KiaM3tqYimRUAaDFqP6R0ddPuhNzcMyKRjE1rau QUEflUKEQWE4YrVw9M1n6fAgm90iHpF2trWyGpmNTa3jL0T3dLW3cCYOt5RSHD/7+xkJKCq3e3Sa SYX4sqLMrJymDsX7pNKO1ubewSGgUrJYzUPANDbB9XCaSmAFZZhyXt/Yy+btTQwwyqUY0pt7HUYk g70oWCEMjmI3A/LKyxzo7WptH2tDf09XWwdXUaRE2FtalA/JKWzrlmuDQB1tYbfw+/nl6JJ8GKJP 0bfRpE30qsICKLmmQdEcIb8LmpedWwjvHr9OQlHiH/X8EOwBRtfmrTjeyh96twnSdAcTtUUL9x7Y v3Tx/AsGbkD49tRXHFytvmjpqu1bt6jMVnnikKHIku/7as7q4yWZYdN/WIhjyunW10JavmTBAtWF mqs0Z07//sAFnQ+7K+igLps+MwgCP7VqznOnlNGiJHoPzs2dr7p0+Yoli2fPXLgSXjk+UcdaR0qP Wjtvzo69+9atXLLpwmNOF0fr3KYv/vb1xu27H941u3N68xd//2bT9t3aRtHIvNC1Ow9zRCPCrubH p3fM1tDcsX3TnDmauTDMmUObvdNKQYl5njbqqqp7DuwHrT3x3A5whswI29mz56mpq69cofaP76d4 x2FEnVV71qj+v68nb92196GB7YeawljLpEN+2ndmzpmzZcu25eqLVTdcbANGUYkw4NntReoaBw7s XTh/rl5gOkhs9vzqnPmqGstWaKjNnTZPvQDHBoE0aOpm1Tlbd+/duHqp5pHrTX0iJhGyYLHawYM7 5qjMumbg9ODaMT2PaJCSlBm5duFszc071q5csm3/I/6EaR5jdWvakh1tb29TkDdN8laUD91duysm jyoPfd/1XV26LQP5ObDHIKgyfsOmdSvTy5liXs2cmd+rzJmzZpWmyrTJ+8494g/J+ltJK5ap7Tu8 T3XO7N03Xka52SxU1dizb6+amtru83e7hZJOBlxtyeKDB3ctmK2y9uBR9SWr0hGjNUr6bh3Z+NhW 3rsxJ+rVubHzi79+uW7rzls/eQr53CfHdy9ctnzrhrXzF2tmYIBGMXTjzO71u3at1Zg/a+kWPGtc exmpzAxcs1B15969G1et2Hb4LJiOxYFOSxfM371//0p11cNaFgOSkYE2+rktqxaor9ixbevcubNv GEWBemN9TI5deaVoQKS7/qmblsDPqyOdWbd87ZZtO7eum7d6B5zBE/Nq1yxfvEBVFcztWTMm7Tr1 pA9ARzocbvpgxvyFW3fuXLxgnr5DajsVvU9dddPO3VvWrVDfdaaa87aFY338/f98CHZqacqi776d pjJv//EzZjbO+egq0IpuBnzBDJXADDTwM9AJUyerYRhdrg8PqW4+U9feM9DXfe/U1vPGcfL2SoV3 9mreMn49MjJ4QGOallsmCOth47/7/usHdqGcTi4G4vftN6oE1pgaIM8y6oqCX83ROAwWY7Fm12Zv PN8nl2bS22e2zN95roLO5rbRty2d+9xe/jLRuJPwW/aumP/ILgrw517AT+bN9UmuqEelrJi/BNfY 2dvHJ+VGrlBdRmR19vULChNdpqmtBNw53vru5AUb0fSWQUFvYVp6RTlh3YrZjglFwxyyusost3i5 Ps+qyJw5RbWkqispwPDrGWqpCFJ3N1f32r71+5+AVqW7G67bcpjV2dXTyx+T1uNteuNhopMmf/V9 YGbZoFCITvGasvQgZ2ikoSxm6tSF+eVyDQH22nrKrB0dA6KnN/bN2nQcV8PidTD3rVZ9YBY9Ihk4 s3HxdUPfIenIYBdjk/p821AUszLzL3/92wMDW3xFZQO78cSeFfdtA6RDXXvUpl987tjVP9jVxogL S+NPWJY73dm66op8ir7nenldra1tnLbGS6s3eccVtnM44L8hkVyu9nA75VGttFNL14VnIkej2ofF CjVnrBiFZI9B1Mh6aSozJ8Wj6JLu2lnTv3/mENLexSXDEqb9/R/xGJawnfT9t/93/MbjMhyRWs8E kheoQt3dXYiM8BlffZNVyeHWwf7+t/+7+tgYU06iMeh3dq/ce9sK1NGASZ70/RxY1UTJLmvAZa2c vQBe29zTN5Dnrz9p7nJcPWdYwLe8enDh6gtCsfDojqWqq7anF5SSqqr7wA73G2d+RXPJaW2gHAEW AS+GcZgVK+eq2EcVgIFrqcqbDRS/8tYIkyszl++tbuoS9Pfq3TywX8sP5A5xfL75gI6iGF/rRzuO GQG/1e19a08+4Q2KpMP8u8fXn7rvN8xnTJ3yzS0LPyD6y/PD/vH1XAxrgI1NBqPvk14mGBJW4xHZ 6dBHpzYe+NFSIJYN97XsW7P4hb2cz//B7kOwgwa01FYEezlfvnhu/XLV//f3Sb5ZOGpG8Fd//3rL wSP7Dpw4cmjHl19+FQdFXFy2wDgUpmiw5U+nzhvHAj+XBpv5zZcv3cKLiopu7NFYsOXKgHSkt5kw c+bUwlq5XAb+6TOm5FU1KzKOPWXCeweWrjh0BVpcHOHw/G9fToIQ20DUjVObrhm7jKaRXTu+4ZqR 88Rc3BrEgr/+3/Jtu/cdOnHk6KHJ331jGJDWSYFtWLy0YdTexkKmbVii2TQqfaFJrjM11vCkkic7 V14wDn5bjqRj7bLZbmnwhqK4f/zty437D432cdfXX34ZXVyZ6G+ovuOIwoYQ4fZcfcdhAAlEsPXO PSc/KdNHi4Y466qtO6mw+jXj0mavOtolHcl20v3LN5P2HDuxb/+JfbvXfPXddHIr9+n1PWdfyCc5 cPcv7jivYyvsqlv29V+XbNq+/9CJw0eOTJ/y7SP7cAYRMmXOfPBKxWhC0el9K7UcQ3l05PzJKkX0 j69hHW5tWXXdfDT9xIfYUuvGho2btm7e8P03f1+gvnTb1i0bNu0uITeBtYLB7YsbNm3esmn9P776 26JlK0DUxs37sXT5WIy7CWCnz509JQHNkPBqZqtMySAyR9MIrmyd9cAFOtxFnjFzSmHN2MKESoCe O75bQ1Nz27YtX309KQnD5tXBps6YQWwZk3GEVNevpy6p5w7Y3zq45Zz2uEqvqJdXi9g4byGFJ9e7 bc7t3nXXVhHOxmUuX6DW1NdzdLu6nk+8InDiM8Hq7rffTz1x7pKTZwCd3cEsSZz017+v33dQPsqH 93zz1VeBmdCfNi9/6JSsyOVtcP3AIznYQ521tx3WUwT62z7ZfdIU6A9nF8+crq554OjJQwePqy+a uv2cVg+3DhABQpLrJIIOyiyVyfm1rbkuLxduPPVWpRpgb/vh63mrNu4/fPLw4WOzZ3x36aWDouQ/ 8vkh2N+xyoj5d3fM33bWpgISNGmWRiIMh8Og0GgsmVLd09NyfMFsnchiRWuttU4qwJ7o8PjbSVO2 796ze/fubetW/eVrlXwqd5BDBOOeVSknSFcjetqMqfnV79xl11tXtuj7v67atGX3nj27t2+fNunb G6ahIPHNU5sv6dmPViG6fHT9dWNXRXWKJ7cGPu/7yfZxBeWgWSg0qZLS0dffjMtev2gpY1QzaESk rFdb2TggB8gbsEufbFl52iTkbTnidgXY66HRP0xbGF2AwWHQKDSGTKHwB4eiPXXVth7kj6YOcXqi sfMYmITwQKtde09/HuxZrnoL1h9TZGwvT5eDXTICcXw2efnuYhwRg0ZisPgqas2QWKx1ZffJJ69G a5D9eG7bBV0HYRdd/YdJJqGZRDwW9KuCROZ099UAVWH2vKoOxQwSKsDeXYOc+93sfIZ8rfShi7Y4 N01tJ+ftnJMnkUql3R1trKYmdhP9nOZm96hCNpvNamoWDMnhxW1vHY2qOqqxISi1TB7FbgZWvImF fwrsKTjGaLKBKxtmPvOFK8CuGHRpf8fhxdMO3n5JoNZy2LT9q1RikU0A7FNmTEc1jElwiaBt1/I5 N+7pLF8wK7iIMrFG4O+iwjfMW1jZKae67cld++5aKxI0YTOWzVdv6pWD/YV75Hu55P9KRGW5KS8f 3dy0YtG8NfszXofOnL4gLAeJx8pHuZJc1cPvvL5C7Y6bYuU44ms0BvYQpxfbjo6BPdRJWwH2E2qz Thl5k8oJKBSKQCQ1tnD47VWA0SVj6aCq3hbizFlT8mmtuQ468zecVrB6eRv4TZumT7rrEltBwIGM RFIlmzNmI5LH/lHuA7DL3PXvmPlEt7T3iMViFgW1be6kG+ZxPU2I2ZO/MfOOGQbrziF+YXpScyfP 7PKGxZuvMVt5jHL4Hs2ZVy1SRmT9h9bMvmcdMzw8DMy5g/yO4+pzrpgGC7qqZsyY/BmwR9nenbP6 GIcPdF4hyBv76uHUxTt6hofBovviW7Cvu/Yu2MV81s7l085oGfcMAoYvxsEgxNrm1vLcdRPAvu4t 2F1mqK/mjYxEmFycrLqxvK5VIhIUQ5IqKeUbNec6JRULOISF0/+h6xQMdECZaKAIksxs73vtpbt4 AtjVR8FeEmixWH1bI5cPHBioOnzxk8dPSU0T1c4RFi7tm6//ZuEbhUXDdS8e/m7hgQ7RCL007Ntv vw5JhwHuI+xtz0hMGhgWAbCfeAv2rede2sqkfcc3qhy49rSLD+a2jFSWg61soOFTfngH7Cse2AVJ +W0bF0w698Slb1DEa2UkxSbyJ+CSUwWf892XJ+4ZNrRxxaKhukrMgzt3C94a6Iburtn5iTU7/8rS rRkoOXP+0I2CffKoGk+fqzJZIdlVZv4QlI2VySRISMgPf5uRW9k+yKkY5/DDXfUrv/pWPxDogdLS zMglkyYloOWSffIEsIOKEmyffvHFFwvXXu2VC/B3HAD7ejnY5ZtuOT5PJ83UxNZ0yob5Zve2z9pw SSASHt665PlHwC6CJCaRmXJk1RZGffflnDRIjuaC759a+wwC3iYeLM5KqW/lej4+MHvlsdqmTiYF f3zT/CPPgkD6RE+9aQs301v72hpJlw5t3XfWDASa3dmyZPPBujb5WDOrMbmFmP4uKgB70gSwZ1e1 MUujvvz790GpKLCjQSsvzs/Lf3Bq2YbDlzmjO7xUbCEcTQYl/MHuA7CPJDhqqUybMmvO/CVLgE19 +r7LDxu5ctmQFOK4eM70hcCksnCemsZWEpvfXFW4ZuGsGSrzNRYvmjt7xh2HrC5q1pSZqqV1AFJj LspRa8a6I4y6itmzp+dS5JOHy8JOnzmtsKb1TRJA876TWxffs5evAhSO14CaMW0SML0+vLTrmoFC 4RFfOb7xlqnbmyRjf3FFKavU5s5dsGiJ2qIFCxYnldRwSAXrFi+rGzVUNSBS1y3RZArkkr0oxVNl 2RqAOEFXw/Vjm2bMUFFfsmj6ghVQFHbrWlXnhAKQJjPGc8m8GaqL5YUtXrKe2MiN9zPU2H5IoWiG ujxftvs4sL601xatXQTsdgvP3HsOcvnoX/pywXpWL4iZ4GTiYBfjpUuXrF2/ec+OTT+sOCo/tSgV e1m9mDdzitoSDdV5Kuu2necODj+5tu/sM/lEAri+e2HHxZc2wEdB521YOl9lnqr6ErV58+eHQ8ob KiBT58yv6VTI6aEzB1Y/tPMHKRGQcLU500Cb58+ZufPUY7BomuiKMyOWq82bPnvekiVqKtOnbdh/ taJZoW6AVIOGl25kIGgT07/x92mfuVJI/DjYh3kM1XnT4pA1sr76eXOnJWEZkm76PJUf5ixcrKGh /t2U6Q+MPMAFRb3NQMxNVQy6TDLkrnfr229/AM1YtmaNyqzJKdjm7vqSaTNnYJlvmWQfE63yf38z D4W+acbbv53U0vXzF1G65GAX8TkPz+2ZPnWOhprqnEWr4mCgC8OHtmnoesoNa+86seXdC9NmztbQ 0Jg/b/61Jw4imSwv0V9j/swFi9TAKC9SW11a3cFtxO5YPnfqzLnqi4HddNYJ7RBQSBejdDNAgMqC JRpq8xfMP3JRrkt0sKpO71k3Y6aKurr63DkqOrYxQ71AjZ+ahpdL9r5W0iyVqRASE0gLV+P7s6ZO WqKhMV1l5ivPtCZG+Z51SwCs5AM6d65bhHy+/cHuQ7CDBnS0svE4dCkCQaqunWDvGelsbkSVIVA4 POfNLlt3BxuPxzHZzeYPTl8wjR/u5zIamyZeOycSdDPqmYNDwvr6OsGwnF9LxMI6uV+uNI45qYjV QOe9Y6CXsBsZXX2C9jY2p2uMdbS1NIE9qjd53v4VdLdjUcgyNKaxpQOgWiwcYDU0KjY7RIP9rEam oguC/p76RqbilizZ8ACZSECi0Ax5FimL2dDNH9O5uK0sNOgjFtfaKV8I93V3Mpua5cwCKGndHaCn Cj+3jYXD4+mN7BFJ7/m1c7Rck0eTTHjIpMAOxuns7OL1ZPrrqaw+2CFUZB1prq8tQ5Riyyu6++VK aXsru7VjbMJzWtltncCIKHfCvi4cGlWGQtU1tYGcw8L+uvoG0ZtrvlqaWR28saV6dzsLrDxw5STe wLsMZ7Sc/p7OchwWgSijUOkTRxPwFkE//z3j22gO8JAN9PNFnzgTJZOKGhrq+MJhwLsa6uv6hSJw ERkIodNqSkvgBDJNwW+k4qHxQZcXKx2uwKFKEaj27l5OSwMfbOOLBsFMGJpg/UPHus6Yu4L+sTMz kuFBVkPD21vORINETBmsuJTVriCCtLmJCXYw37T/7V+RsJ9aWYEoRZSTa8fnXDeHjUaWgVFueXMw ic9rAzO5ntXkoXf9wGM/RX5eG6sUXkKubeByu9gtY+MiGxaQ8FhEWVk1Xb6nBrbeQDcHhoblXRzt 8sDQmF7SSKcgkcjK2jrh6KiJB3sJGDQCiaQ3Nr8Zxrft/AN8HwX7r6j31d1DZ41ifkXG//QsfY2Y 1St3kt+eVHnTITH/2VHNles37Ni5ZdKsedYBOW8ilH8/TgHpYO8FTbWL2j4fj/6jQt11zu/T+je3 4Xfq628F9obqcsr/5PcjgCLRwnl7EubtMMmkTGp5VkZafEIivrrhbbjS9wkKSIf6UYWw5o63Zq1P JPx9g9k0ErGa+fvW8W8q/bcCu6L5FZi8mPTcCSaiz/WqjcWgMyes3D+XVhmnpICSAv8qBX5bsDvq X1Lfc0q+evkZzk7nygVt67F17M9Ir0yipICSAv8KBT4Eu2iov7qSkJuVnV9U1j56+heYX1j1DVwe D4coTMnMVhwJBjactqa6UlhhJiSXUstUtMHN9Naao5cFQ4M0Wt3gG/MOv7ujrkFu1xX2dJYU5kBy CxjMVoBxBgWPrVSYgmW1JGx6ZgaKQO4HZh+lU1JASYHfgQIfgr0iN2bx7EX7Dh1et3a12pptRBZ3 RNiybZ36TJXZq9asAW9ArNx6rqUXvL7QfXHT+rWbduzft3vmzJmmPnLrnLvprXXHr/N7m7ctU3UI R462V2Rye9+Jew7d7PLDSxdt3rH7wJ4dCxeoEVgdrkY3Lr4E56Akvk8vLFZfcfTY0eWq8x9Ze/0O vVQWqaSAkgIjH4J9kN/T2NDE43XVEOHrZv7wKqxgRMxRmz8ZvPzSyettqsiZ/o8Zqah6sM/Q3NjI 6ejitDCt759T23AY7Dd4mt1ec+QyIKv7oxOLt1wCW8I9DeiZP0xLwrRiXxv+XXVDbRfYbJLWlGNa ewZMH504/JOxVNSxbv6XL4IKQa7eNiaO9PaVOuXwKCmgpMBvSIEPwd5EL79+/tDCJeqbduyY/O03 +v55AOwaC6eHFBDk9Q6w1FSnBgO/eMDXyXCp+uIVGzetVF+0YNMJcNxhFOyXwDYrh5T9/fdTC6o4 Cdb31TbLT5YyEfFzv/9+5frNzw3MMmFoUJKJ1omjD41HpIOPD2pOmj774o27rn6hnX3yUxNKp6SA kgK/OQU+ALv4xYHVK/ZdxFMZ3N6+FyeXP/eCKMDul4UCtYt76xcvmBaFqKLlhH/3zbTgNCi7vROX 7Lp66wGwZaIA++iRgsF7R1btPnJnq8Zs08ixA1HNtRVeDianj+z95qvvX8NrrF+cPfLAEJQpFXRn JYY/eXBlycwfdl4zHnvl/DfvqrJAJQX+tynwAdgHLy1XPfTAdXBomIQp2Dpnmo5fDgC7uuo03zdg XzR/anRZFSbC6dupywiNPX2dbJPrxxevOyKX7K9urT58UWFiwyX7/vWLL76ft4sNFvgjI/ii7JRC LLDLCToYa6d+Y+5XYqNz9shPxkJBV3Dw69YeoPKP+D07NWPJuT6lie5/e04qe/87UeADsMsKop2n /TB5/gJV9dUblqpNMw0Fa/YOTY05IXkY0AZJX+OyJbOj4WQBh35g09KpM2YvAIed12ms3n8O6Oo+ Vj9tOnlNcVhQ1s9aO+nbW6bhipbDXnvNnjVLddGi+XPnbD98B9wqYqV98cxTs+GBjuPrV86cPW/R ooULl6wMSlWY9X6n7iqLVVLgf5cCH4BdTgoWg0oglLd19fX3tvf0A4ktbWttGVBsiskk435BTyeR gK+mM4VCfkdnJ5Da/N7u9s6xY94MeMKMafPK6sb+BWeI21tYJCKxkkIFr/CDWnq6u7q65QebB/t7 aqoo5eUV7Pa3b9DI26F0SgooKfDbUeCjYP8NipcMGxzbvv2M3virB79BmcoilBRQUuBfoMDvBXap qEr+GtrHL1X4F9qrzKqkgJICv5ICvxfYf2VzlNmUFFBS4PeigBLsvxdlleUqKfAno4AS7H+yAVE2 R0mB34sC/3FglwqFsqEh8JOOPsWDgzLJz3yn9vei4YflDg9LBAKZQCAVCEYEAsng4IgYfCJCJt+D +E9xItF7XZCBLgD352+/WAxaDiivIL50cFAqFsuk0j/dJPnjKfnHg10x5X/pvB9LL5U2eHuXb95M PnKEdPgw8eDBmsOHO0tKwFj+8aT7sEZF1wBMUpIC0ShdFNIEhbyPRjnCi1+ePXOwvePfcKHoh438 VIhUIuJ19yjoCDqSmRGNLNNDIY1RyAcopB0aZXDh/L6amo9eWPepIv894QV5GfASfRTSEIV8iEJa YNCvbt48CIPB/z2t+TPV+hGwSwcCvZwiM+RHaD50ZdlRdiG/7IYlKrrQ1NjQ0MQUgqCCAlMjfaHF BQlpBeOFxwe5RaV/ciwasFlOQTGKO+XEzc1MT8/6p09rFy6sXb26ctUqVkhIvb6+VKQ4yAOKlBXE hxsaGryydCAwPg6uWmyOua2/IgMFkWrqMfbhCUx+THRORTujwsUzpHugz98ngMoeu+RtvKmf8vAa iY5urlyBHCugLYEBWpWVGiMjG0ZGTo2MPEhKmmxoOK+pqWMsu6g/0tHU2NjEyFAvIqNwvExBO83M wlfRsK4GvKGBLQ9c5vsJx+9odDY3NdA38A5K6R/v/ScSTwiWets6kd58oQOdERSYClPEtjKIFubm QdE48C8Ae0S4KQqlPjKydmTkyMiIVmbmDGPjqRUV8hH8jCvJgjLb5FfNSIS8UA//jv7+jEin2Ezs R7PIBnnJoWnjN2Sis5MARYxNzYtxdRPSS4Pd7FOgo+9lTAh9z4tMg1TSx+4LSk7yzs8DxNccGTkw MvKkoGCepeU/cnPfzrf38v7v/Psh2FsqoN//5QuVNYd6RCM9HGZRUb6vb2B5bRv4BEZKkN+54zuP aYd2cxphRSVoLJFKRvv6+ZUQae1NtCA/v8j41N6hofKiXH8/fyxpbMiSrbU1Fm+6dvHYd3NXk1r7 EBkhhkb6WWWVMokACS+Fw4rTUlNw5IYmOjkvP8vTJ7y1W9jbXB/o4ZGYmdPI6e1mog3dXASjWpi4 tbV6wYK2gICae/dI27YxX7+uPnqUcuGCfHaOOZnegZ079p89vGu9xu7rLZzmuLDAgLDIusZGeGmZ QCTCg5spUaVpWaUSiTA7MuT2pcMbryvupR/JDDDZsf9ZnK/2F1/MyIIkrd2yBdfYkZca4R8Ww+EP s2qwoKdQXHVfNychODAiKqlXKKmnIH38/IoJNcLuZmsHXQWGwMKCVKHr6LgkPn5rZ+cpKysNavWK 4ODlTOab26tE/EDrpwvnq2hsORKYBMFmpTk7O5U3cARsws4tZ3xCwrKLyYO9LXHxWXx+d0p0mI9/ QB2H11pHCfHzT8sqUTAAcInuskmqzx/dmzR1bnZVJxVb7OfnmwPHdrYxkTgqv7utrIwwIOjNeh0Z FBTRwhXwWun+Xu4ZhYX3j5/Xdw4OjkwFLIKBjLaMSHhDuhF+W7mrs/z6dLAwIlXYBgYu9fNb29l5 zsVlKQq1PCF+cXm5HOxdTEpkeEQ+oVoqExFKYf5BgZUN7eIBbmKI36WrBlS2/FUmSW/d/rmbfTxc VmuuQlHqMaXFsa+j4jPLhP1cOIIwMNCDLMVUIlLnfqUSnFGm4OTut85u333m4t7VGideiGUyXHGG j69fNauttCCrohZ8Co+YnZPu7R/N7Rf3cOrCAv2ScuDd3R2lxfDivKwDGmpXHlmDboKqK4jBycma 1tbLOjsvAbJnpC8tgqpmZSnB/pFXXANNrm46eX3VopWpWBYpPXDd9jO3zh87c9Eu0ttw1/Gbj++d v2Aai0n0XrnpiK21vtrKLXd/vLJ0z7mMrGyDpw+XzZ9u5R2wbvnKizceBofnA8oDl2yl9+PDQOC5 fUD9hY3Ttp2H/LzsNqw7U8Oo2rF03YtX5i+u3/RIQoYbPDx49dGB1eutnVOe3j56R9v04MG99gnl YkGTsatH1+hXG4caGqqfPGkICmrR129yc6Ncv15tbk69enW0HsVDqn/weFAadURA37xOPamwzMZI Z6vGjPumDucPHPENCDp+5EB0WOD1h66QGIcNe88ZvLi5/baTIievBnZoz5ozR3YsXbECMIurlwzC vU2Xbjhx5viWS8/Mt2zadvv21ZW7T+nr/rRo+c6XOjYEFGyV5sYf71xW23GmkcN197ShtMnn+fCw zMvzelqaShZE09pKFYPWiAhXtbRQY7/7YconDy5bJlT01uZrbjjk42qybvN1Ri1h37q9zq5WazS2 EHCwo8efsTlN9qaGB9bMO/fE9P7loxv3nntl6t0DPgoF7qQlF22YtdpA/6Hm4ZN13P7c10EPr59e sny1i4f9puvWLHzewQ03ISk+KvNXaz02LCtBnjq6U8/G43VK0r2DR69p669S0UxFNPXWI0wDYoE5 oY/XyaThX1lol9WwQeFgVRQS/DIubga0EHRhEbJMPSpqoY31HIVkb6ETPe3N9py7SWbUmz0yzMpL s7MOCg5yT8zMtzb3rGbJJbuU33RQZcaXX/xFNwg6Im7du3zTY8OXGrP3IhC5i/bcbWXXHlA/nAlJ WDxtYSSkTHEdse/964eO375xestdjyQGOnnekm33rh3afsvQ9P7D0PwK95+unbj7Yrv6Gu/gnFvn D504f2vNtq1uvkGblm1+ZWm2S3PlnRd2HJ4c7AnxrqEh08oQK62t1IpharGvFzk7zcjLe6tBgTT/ m+49yS7qY+5coXr6ptbBTStOarkh4/2u6gaTUv1P7H3mYXX/2I+vDLTOHtOLQES4XDOIHOmmqs5f Ymzn5uzi/ezWycN3nh7btFjbwd/e0nCj5uJrz5wVJE2yeLF9x6WwQMDkt4dGB2luPpKVFrtq8T4S Bb9n1y0wM/ye3LWLLQnU/sktDRf26Jauvr/WneNPzV32bN3slFzBpiBfmVtTwB0aYAr197d7eJAW LMDOn4+bNw+3cGHVkSNcT8/OJhq1USE3Zbp7d91+ZuFo/GTToWshnqYbjl/98djaa6+C88Nt/vLX L65bhtRAY0/dso331dtx/rm94e21l+X3tMudhH9kmcrUpXshyaHgUwUmQdBopyeq684EBvm4ODhp aKzQs3J2cPIM8vN8eP/KrHkrIFkpaouXm9i52Tj5kipINhZm0HLwmv9If7/Ixnovi7mQxVRrZi9p Yi0hVy48fGQKjVJRTmkYrQk8ZLevHtcLLmvGxi3dei4rOUxz6ckqCmrnqgvJ8eHrVTejkQUHjj4p zgxcuefE06t791x6HOLvfvH0LrXVhzvkHGWkrSJv09zdnrbP5izfj6muunB0+wPtF2s0V7h7u2us Oehma7Bm2cWy0pxnj3+cM3tBeFzKoT2b3KMzcTDE1YPnYTTW4w07wiGV5dCUV/ZebZ1tQfahCESO iaVjagoCKEkS8Yid7YU6xnxFF1jMJbTaxceP/72iohpUHWxtHhCe+Py5WSmG4m0ZJhR2+Zr5uLg4 FWNJlgZOlNEvb0l66/eprLY2MVZZvhlSkH1057UmTt0BlS0wZPFitQ1evs5qU7dWVlVsm7UspZSs uFfZ9dqFm3eNb+xbc8YoCJ8fMnXeBk9fb1f/aL3LV/1z8fY/3gwvqXa+eNbKLuLcoS3n7hm7eXhE +XoeOqsHmmR85MBPhp7do18jdXV5Rq6cC9oMiA+ejQ1q1679BQLJlVPtf9u9B/Y+Ntndy6NXOsKh YLzcA6sIqPgsDLsSFR6c29lGN9Z5oaOjEwOrZJYjYrOwYMZi8hMMjUwc/SLKslJMjIwtjQwzoTAX R2sjIwtEhXzmA1dTkqOr80LfxKKUwgR4TQz3f6mtDbRAyUBnYGAC4MWojORiEliap8HJjdiUhOxC Cjon7v6dq9NmzXLNePfDGWIxJzKy1dGR5+7OdndvdndnWVt3QDJDHXSzCGNfNCgI99PR0Ta396zr EnDpBHMDAwsjvXho+VBvo4WpEYkNvs1FjEiA9XezLQ1Bb3T8Ut6aC2AJwR4BkKG+VltTi0pm9zC/ w9/FwsTUNKuMXAHPMDIydvAKTk95bW5hbu8eOSASYUe7b+sZ2js82tXRB7AGe3k529vr29mN/Rwd DZxdrNL9LXzfvuYjS4qPyMLVy6TiCD93QJBERLVkoN3VwFpPVzceQhrqYQeFprezaXaGBpbGBqEJ GTHh/mZmr0IToApo9LXU+jlGiUdkMe72YZlF2SE+JqYmVtYOdCbT1VzX0MLMxTuFhC82Mzc3s/Hm 9A5REXk6L7U9PRPjIuJobZ1p3kH46raxRg/zG5rGLkUf70ZoqP87XXAwsLHRb2+Xmx3oCKithZVn dFxTRyeyAD80xEdCy9uaqDZmr0wdA7mDcsVDKuQG2/h19g8nh3l4BQSGBiV1dbcH2/qD71iFuVkY WJiaWATw+AORXtamTtHyj7OAj2rFxeSV0AStNUZGZlR2Z3aMj4mJaXBidl5CEobWXJKSiGW0FEdH wVD1zTScpYmhqY0LGoUMi84GeStL0nV0TCgN8s8KJCbGTmy5g4N8FGg0uryO/233Htj/JMRAZCSY GBsZOwa09/+cw/WygiLc4J9+awWDJnQoX9/9k8yw/8lm/AtgB/vG42axf0K7X5D0n5T0y6JlEtHw 6JeIf1k2Reqf3btfWrhoSPGFkJ+bD3w279d+QOTnDtBoU35R4p/b+N823c+fcr9tvf8dpX0I9h4O q7bxjYL3QSdlwk5nr+CW7mGpsCvxdfpnxKlE2F2CRjXW0PhCETovp/ETl/+jkDBOn9yuMtF1N9Ny 88Ey4SOuv4vpZmPl6OhYVtHIbW/AkOWrSIVrY9OwVbVv/hsRtDc529iXkpnjIf/U01Zfx+noa6wj U+hV6XGZE3Tzsay1mAJzGy/2e591G41kVdf09A9TyVhGE6uaUDOxrgbw0ds3H7dqxJTYuPlXMxiw gkI0jjQxGVgWwVKj7Hxe908gKyk33cE75GMfRHo369v/pFXYStmIDIkurSSgShDvroNGRjobq13t bM3NLWyd/VncobF84t6UmFRwI8HHnVRIxr7/WVVFyvZGvIeDqV906qgBdTy3rJlBjEzNUqhl3CZq VHIWYCWsWlxUei7wNFYWuDqYRaTDREOCSA97O3t7CHxsuMsyE2xs7bx8YrgDH1HqsuJTKHQqlvJ2 0MerHPVIYNGhno72do6+1a3jn7R7N8n/8H8fgj3T76VRQMKnSEKDpx48vCcsnzAy1OliGsDv58YF +YWl5IMvd2ER2Z6eEexOYQeLUVhQgCqvJGDLPYyfu4QkR7s4Orq6x6TmCIUCREFOYHAkAgEN8A9u 6xGQMdh2bldeemJwat6gVILMTvYPTKzElVq8NPQNDmF1DfS2NYYGBhaj6dJRycOuyH+pYwlPiTQ0 8OR2tpCpjezGSk8vbyyplcdhUmrq6CRcSEhAIbqyJN7rhpZhU1t7YlxoWGSBUCKl4jH5RSXUWlp2 WlJETDKsIC00OnVIKsUXpIaERdd39aV4Wem+8kAicXR6lbdlCK+7HYGsnDjnOhmYR1pRQ5IhXAnU 19+PQGvu7WgKDQmGkmoDzF/aeESj0QRCWc6Ns7dLkBW1NUzR8ACNUuuq/9jeN6FHvpgVOz2/ZROa RCVR2G0dlZjyzq4OTElxPgIPPh0LHCEv2cqxSDzUC8uFeAcEMVva9G+c800tbmqoAn0sw7OHB3iI ImgJroJagQsLC88tgMZGBJXg6aL+9sSw0Ni8Uj6/48mly3E5CBQKj8zJTk9DMygVtaw3twqAYwBC QRMVef3WixrwiTk2LTokNKUYOzzc7WkWwO3pQGLILU3gm3rg/iEWp4NLKC0IjEmh1uBun70ORVaU o5G5sFLeW2BLfRysCwn0CAfzAnzdhDkjTvV5fv3GY8Atxf0d1s9v3n/5EnwaN9714a27L8GC3lTP pKKO5aKnj8OiHty7hSADPjnG8L10HsYXlDncvFVEaetuqQ8JDCzF1g8NdJcVQYuxeG8zz4rqWgqV wSATQkMCITD53Ufjjo7JuH9bt7WTSyjDkWq72DRyYGAQkcrp57aVFBaUEavIOGRwcHgRDBYeHFBO ax3obJB3vwQnkUpIyBL/AD8kiV5XU9U7JOXU05nNH/mw4Hhd/4meD8E+0Iz3Sv/UPoXU2UQ/LCLy 7nO7gUFekG2wf4BHUjbMxT4oPwf64qUTHpnv6hgLCfWz9HxNrSr3cQ6J9PTMRVameLlEpGQ5v7JB INGmT82yM6JuPnkFSQoPjMfGewbmQRIfaBllFMJxxWlGpv5kMqUCVWRp7JSREh0YmPJK95mrt8/9 eyYtfPnZkbaq4qtXfvJxMjB65UbBY6KCYoz1rNBEjLWeOwJamBCf7WVsDimGmus75SXH+QUk58SF uASmJgUFZuaU2T7TTYYT4Ckxzm7hvk4mNv5RnvZOhVg2Oj9F7/GNe/ZRRXGRkYmF+QnxWXnFLs+f a+taosmNE6dTX1uNuVn+iKTL5KFBPizL1jIwKsDN2MYLV02N9fSAFONTgsMhkGwLXUcag+JqHdHP b/NxCI5wd8+EEUVybiULt7WGlVfHewWyuPzXzr5l8KIn9w3RlDrF9lMtFhYYRulvJpoaOKUnRwWF pXu9ssaSyEbPjBEErLWOC74M+ljLjFLPdNM1ghTm/3jrbm4RRFsvoKOjJdLP4/jZMynIKhddc0pj vY+Nb2k+5OWPD62dQjv57ygpsoFmbR17IMd5zbVB7g4HTl9AUJnuz59p61jgq1klSQnFGDoqMz09 KeXRw5cxKZBaWqXZc+tGNuPFzad5mMqht4qHLCPcy8k31OynWykl72opA7wYJyvRiCzawQxsjntb 6HUKxSN97dHONoAKwU7W3uExOpfPw8urwlwsTe1tMorkNxwC56WnZWLvrn//ArSMZPpcy83H56GW JQFd/PihWWVdQ7BtQFFBflxslu8ri0wY1OiZVfvoQSZF3qyY0PjChs6G8qDgmHpm/ZN7d338vZ7r uaPy0l/oOdFZ9bbPDPNg2TduaxUWpuqbxXa11YPu7z99sYzaaAeiSvIsTf1yEkPCUgu8LazIrP82 3eBDsKPTAq+9tOx6o3YqyKh49reSb1246xngf/XavVJ8ZYBVgK+fa2pOka2ZYx4kX/dlQG1lmatD REZYDIHaMdzN8rINy4wIzoXjkzyDa1q6swMj8gtKfOziWhsI2uYRrQ2VPgGoOGe/MjQOkhH39Mfr 0eH+5lbhTGYDGQUPC8ztYteEe0bpP38enV4ALYL3ieSTDEh2vZcWDDrp5RPzUmhxlG+kkbZzFa3G 3tClJC8/LhoCWtUrEQZZ+BRkZqelomFJkT6hsJyYsJT0In9Lf6C2ErLSc/JIeQmhsQWkvERIfFS+ 9gPj9NTwRyYxuOzk6LicwtiE7Oxi/Rs3b2ppwcl0yWA3Gl8tNzGPjLTSUD89CB/gt7qZBA8O8zyM /chV+FBfO0NTi4yI8KwidKpfGBSGcDKwq2+ottKxRpcVmFuEQ8KCMgrxig+wJnoE0tp603zc8hFl Zk+toEUloT7po2XLH6iceAt7aHs9MTQgt5NVHRmUGmof2MxpMX5kRaqpdTBwghdCo8PkrNjXxJPb 16XzzKKzv9PCMCEzItDUKsjZzjI2lxICdirr63zNfeE5aeePnjKyd2nvEzbXVdHemNwlfJbWY0uA /1RvR0ePKFMjs3xkjcmtmzce/lRGoaFSYiLiMoKdPZIyEMUwiIHWjcTcfDcDW3pjrZtpEKi6u4WO I9PlzQWCW8BDQTPvPLyDZXbUVJZzeseWAl0NJFsdLQ5fmJ+V6ufmcvrQfhKbx60j2Og86RgUDfe1 FmclXPjpAbWF01DXiICEvbIPVDBVb52fUmEESJy/j1+s4bNnrzMKS0rRJDQ8MkR+bCPA3KswNz82 MiPQOqBbJAwwcW/h9eCwRIV5lopM1zVwrqJW2RhbxibDnj94nAmFI3FEBCQzLR0PlBp3I59efsvT 5w69/a3mxinxPi5OnjHGhmY5pRRf88BBab+7oe/AQNfDk8eNHVNH+/df9fgQ7PweHqe9Y1iimN3v dLazjogn14OgZhKGQCRj4aTOplobQ/0zNx7XtAwUZ7+2MHcAii2jvKKprU8s6EaVkNqbKG4u3kX5 yM5eQS2OWFcP1qyVvbzWHBipt7sVS2FXoQg15HIXB0f/qJSBYWFitL+NvVNlVU0Fgd7PaycSGM2N FCtrG8+I9IFRK5Wgq8nT0tLe3qGwor67tYlc2VhXhbSwMC9A0rgtLHIlDV+ME4iH8TBMXS2NQmFJ RH3+ng7OHjF9wiFMIQrM8BZaTS2thU6pqGS00WuptEYOJMDf0dk2CUEZ7GZ7ObvlZMHp9EYCgsLn sRPSIdjcSLuAJMVUJGPyzM1dG1va0EXlQ8MDWBi+rDjL0cExH0vltVDdXDwL88raOnhZMQHJmSWQ hCArB+fUQnIni+xk79U+Kl6rUPj23uE2Bt7W2sItIJHJaiKgx1egspyUCFunyJYWNhFH4/M4FQRq ORzbJ5Qxq1Cgj9nFVT2c5vLRT4Fjoaj+wf68HDh/kF9URmmvq3G3sHYPDgRKaxUi08c/CgHDAwo0 1LWT0HkocpWP5UsEfUyZlw33ZmUjwPKkjYJ3srTxiIisb+eWl5L43S0JaeldnEZ3B0sH73ByFS3I 1x2YaDh8QVFKRGhkCrKYCEa/jYbJKJafqgVugFPr5mBdgKOKhF2m2s+a+hSLHhkcEm1pYZ6Hb5An kgopaPn+ZlFquKWFBbKmvZeFd7CzxtBawInZEDsbcxvbhraxe06wGfI1u2NwTNegmE0ngqH3joG0 sJuIo70Gw1rPqCOTavEluAHRML4IwyBCjSxd3xwrlpTlp1pb27p7xHYPSKhEuI2tbQQE3sRgVFWD w0JiVCFmcLA3OxcpEPYUoWpaKATQfc+IqIYOLrYINyQeRBZgZNIhp+dayDe0krf/v8V9CPZf1DNu VaWTvV1obPbwr7UX/6Lq/i2JKaTK+ra+f0vVv12lwkJ4xUTjw29X8lhJg73tUOQ7ZsnfvIqPFtjc QCfWftKe/NEsnw8E1o+0jJ/7cdLPF/Vni/0Xwf57dUcmA2+E/urCwZuY/ySzfC/wnyT55bX/rDbL e/aZot/tuBC8H/vZ5J8p6feIerd1n6rhZ9HhU5nfhIPh+Ryd3iT7J38HwTvG/24HXsn87efar+rU +2CXSaCp0T7RWQLFywnvlikT8twsTAPTSseDZSI+tuSfvJE0nnion4tHkIaHeDnFxeOBH/V0sqpS 00sUUZnA6AqtHpH2+jmbNvZ8Ujrx2FTTlzqG5nbVLa0pkXE8oK9/2tVgS4qRVRPihyPd7A0MDf3T i381tkT9bXFRkAlljrBrUbY2pmaWJnDq2y9TF6Wlsbif3OPqaqpOTR8jDiEt3tbrk5tunYxKa2MD cB41Cz6mUU+s+rN+CQ6GmbhIY9dQm5q5dTQCkcH8bMYRdB4ET22SpxH3+VqbGRsbh8VCB4U9OUXQ 8YwCHjsmMm3831/naa0lQnLG9AQKMsPS2sTM1qZmwm5aATSne4KhcLyWDmYdg97Syq4m0OhF0RGe 4TFJ2XnC99iGeCDS1c7KzNTTO3Dgvajxgj7hqa8gdfAGKBVltFb5YcLPuKGeZkt9gzQUGZ4FYXUN fialImqA20oqp3002UAL3dVAx+N1LpfDcjIBR0Lt0Iz2j6b8fOD7YJcOs9lN4R4hpciPqUYyia+V d25ZSyeTGh7s7xYY3ViDuXj0XH5ZdTm8wMHBi9bU28qoTk9Lg+PJ8Jx0azs7PL21rQbt6uycjq1i VRadPXY5p6AMhSZ3tddZWlql5VDEw325qYlWdva0Fl4dNt/V2amQXMehEwO8xywkHlqPLt92JBWl bF65CketjfF19Xyd1isYAG8o9wgGSgtL+aMLNjoy1cYxsDQjwtbLP9A2uIFVF+Lm6pecMySRkkoL nZ0dUqE4sXgwzs/dOyitMDk9J7ecjEFWN46+BivpfvVQq6qe8fz+w/ZhGWAFDo6uxNqOvk6Wp5tL PJw4LOgJ93IPjSoQiYfzXwc4ewU29Ag49TUZaalIcn1Fcaa1tQeBSLR4oGXt5ISuGju462n+Ijgd wWlj1bf09HU0elnbxGeiU72dzKzBPkCyWCJOTQi2tApp75W0N5EtLC2zoDWcuoqxjov6n18+7vI6 r55GtLC0yofXD/V3FWRmZBSh5XsSI8O2Lx8lFFZ0NNUSqbV0CtLS0roUxx7saUuIiXDzCs7JjHV2 D+4bEleAvjvZQUqJ3JamhqYObmtzFRF1+/TZ+FxkcXqMi6s3ldOd7PFK66UtrKisgd1BQGVbWjpR 6np4zfSokABnnxC+UAiND3L2DGjoGSiMjC5Cy01zoj7Wi9v3UahS7SuPW/v6yuD4bl6TnY1VTCK2 t5PpZhnG47JsrKxik+W7WmUZsZZ2rlhKXQUBDxpPRuHaeXJ2JxXy4vxcXcLiukUSRjnK29MtNDEH kCX/ddijuz96vZbbB8BF49r3bufha9msulauoIVebm9lnY8gY0pRvQJBRlSIu1dcj0BEQcJcXRzT ijCFMR637hvCStBEXNmdM0cjc0vLStD9wr44X3cP3yT+6DtE2OwIbROvzs4OAgbRzm33drf3C84X icGKPtvR2SMrB+Lq6ECgtXGbaBFBvm7+4b0D/WRC9bB4sIpA8TZ7pmflWwwra2Q3w7PTbezs0NVs YU+Lr72NZ3TGwPBbJgpe6rTVda9q6of4Or6ysgYjPijg56XJpzqVzettrfdwcEzPrxweGoiPCPKM zyrLi7ly+SECXVGUm50ORb6xQgAKyCIttJy84lgcnnCgp45Oj/a194wtkdPmF7r3wQ6uc2+p8Iny f2+zZrzUaJ/48pp+eGxQ8OvMAEeXrByoraFrDaXs8uXbnm4OZs4xWWGBToEpjYzKV0/NS0pzba0i mHSik7nuznP3yyuIVgbudQyKj52/i5U9DFvhpOeARZVaGbtC85O9/TNqSQhrw6e7r+tTyaRQ/8zR SmUxzuExjlbXfjJz1tNFVVBi/T2OnjgaWVJXmR994djJhHyMwlrAIuReOX1ZT183A44MtQtmMOtD PRz2HzsJITC89F8VYRA2Rq4xwf4efpl0Rj0iPf6nK7cdvRN6FceypXyjy+e1tZ9ZuAcJe1g3r9zw 9nIxMPNLjvJ9buyArayK8LDQeWWr/UgHTqorTI6+d+Pccx9ISUyovW8SBZP/7IlzLY1GqyZZPjcr QeRbvApWiAsGttTR1NHO1BpLoXuZAywTGA3MeDfnpDyYu6VTZmKMmU0kFpYZ4p9gYWCFJFY66Dmi EYiwgNGOy0Tu+uZ4MsXoiSmOXGmv54xFQHWe21Q1NMvn03C7jp7fG2nR81LLlEQl2Rm4o6DZzk6h 0YEO5l6R4T5eGVCqj6E5kkR00TNOSUjNyidS4IWJcekOBvYNnPbizPhn9y/fsgwvTnwNDh0UpaYk RL/W0XaursI4WgRDE6MDI1KDXVyhyGpo2uv7N8899UwrTUwuxjBA/dKB5gcXr4aE+jy5r1VFo/vZ +4Opm1VCCLB2hSMwIU6hbrYOeWVEf2v3rMwUXctAPDzX1r04M8ItLqvI2tipa0C+sTIs4MYGeZ05 fdQ/ryLGxjqzGG6jb5+RFmPlEQva5h+jAPsIJjPd4ZWDnZVLTX2d0WNTNLGK0dgYYOuXFO1/95Gu paHR62yEr7FFIRphZeicA+4NCcnAQHPjY9OdDW3oLewAG5/IAB9P/8zaWnqvQM4pYwMCc1BjulaS L+AwxXFevvmFSAcdixJE3s17L0uL080cMhFJUWFxuYkejvEpmV7WoYPD3b52gbEBAVkwQgY4twEt sXpuUVJW4GgZ4OPtmgfHOFr5URr7QflvnMjXPqaZK073dk3MK3Izd0AgkdZgqhem+vsmmOk+tndz /+mBSTE088ef9DKLSivQRS5OkXUU1IunVuQ6+buHb1z/ox+fu/r46JuYNvNFou7Gl4/vJZfVjsaK UhMi7O3tvQNDf85B7PfBLuK90Lr0TN+94aO3QEvFTsaOOaWsopjXaHJT8ev4/Hy4s4E1EVd049Yz GAJBqKpOD4rEV7WLeppczcIE/RxfCz9XM/Pw14kPn7wikqrtdKyqKUQfq//f3nt+NbZleYKf+k/o Dz2re3XV9KqaD7W6p6amq6arZq3J7po1qyarsjOzK7Peq3wuI56JCIIgAm8FwnuPDEiA8AgngUBI QoAQSEJCAklIAnnvhby3zLkSRBBEPFs5z+osratzz9nH/e7dx9yzz96ovuauXY6wvbyNxTwcR2x4 HerxPlzd85rFZfyHj9r4x1z0UG5kz4zV9YvlapFMOVJfPtLfXVOLGOqGj66en+7g/um3v8Ss7+eY XcUmlFe0mB3gQEcC1TA8gxpsaMa0NsIWqaIxOCKQimLgiCnUUB9yValSMJbnP3z3g5r2LrMnu6aD RvZHdOpWRXGDRHLyye8LKIzDQzZfKj6enRyqLC0b6W1pGsAxGIeiE/rj39cvzyNKOwg7M/NsoTVg 4Bc8aZYrLmQi/kDDZDjs6K1BZ/v3tFR0zDuTzKHq4UN4RHMjcYenUivnekaVDt8GCkecwzU0zx3v EDAofFNl++GJqK2snXVw8LLho7ABo91a96yRKxS1lnUe7u5NYaDtJ8hlYv21ZZPrzEsR70RwWFbY dnZ+1lLZy9imrK0cH5Hn0avsw00yfk2IboALJKcd5U0U4goCOYUbGppdZSBgLSc8xpMPKwkr2Me1 0/zt1XEcYWdxBT81X1Y8IBGx2uFj2wvLhydq9hoRPzn19BP48iKyuG2VPjdPZ0FTTTCyl3z48Fwu hZdX7Rwco1vQQx29pD0BoqkL7JShWtADbT3bB+BB95A3CaX1Q+QldH3/ftSr/vVf/2xmU5xtw/Ul c+V5cR8G0TK4wJltR5h9wRnAwnPY1sGVjemRgcns8jATO+YeCcXnvY3PsEsU2Isa9plEpVWiGxBL M8jCis7DA4Zcr0bUDfuS0TGw20ghIYamWVubePw2qhHtS4TQDSM49GAfavXyUubLbigLtufLYIOX SgWLw8IODE3iD2YHh8jUoxE41ufVFRb3AR0KDQ1bByu4RQJtrreHQKK2VzQwj2jVVWjqAm5pY48w itum7A034sIRJ7IBhUD0rJLINWX1CnPo9PjI7I2BBqaTgZrCljOla20Yq7B515ETNBoDvOo+p3pi YAZWXozBb9J3mWqlhEhceP7wA9ruTl/ziIgLensySH55yhSrc7PrWE8F/FB00VJXyJTIZSLJ8nhf D/ZmKHTZrTqdzmS2fpUP5PeZPZPy+f0OmzMafyU5kXs04Aq2bHBgBb3D18uVFofPcHFpsbkPyUsk 6jGXTUcgkLtnCp3s0uIMpqJ+AVsSiwVFPJnqhI0aHpkn7wRj8Z3VWeLGrvhU5XZoBgf6t/ZEkYDn /EwVCXqkYpV4j4YcGVmkH7mc9vNb3RdS9qk/e5BKwmJqFIrpweGJhblznZm5c+QJ+mjk3ZyeFq9Z fXqjRyUpOhZZ1IrxoZEJPF7l8J5zRNFUQsQWBkKeORxqfA5/KVXarF7Jyb5AroNal4lxGQzQ6atO WVwxUJNwOIJAbB2JZWcsNHp0lyeNhtyTWBRyfNHicm9NTIyNoxlSnfFCboI2jDKsvfXhkWHhhVLE lcXjIQH7PDuyZ9Si/aGhkZG5JXsk5XNoRgYHiLS9yzOpOxRVCc89viBlfb5/cNLuSzoN0oGBfipT EvJdiW8bfs4+DcQyFpUQRO1x5IEru0SshWqbdTGveQaDGh5G8nV2/SUf0LDPdB6rSaGwmLUKsdJq MmhVJlvTp592DgyxxbpU5GoKM4KcWJAbPOcsygJ+k7KwMDqKIPPlMb9tamycscc1Wzwi7s7AwLBU d2VRKo1AhE2h1GuNZBxudBy1J9EaL+UGS1auLBXZmMCiUKi1A0EsGjw7loF5P2Kof4XEjkaCQu6F x2UYHuxf2+KkkonNcVRBwWfwMWY66qx+VGC+PdwU99pnh0fGZ3FCo/PyROSPxKTHQo/PS5yfAHU4 VWVXWNdpPoMwNIzAErfBx0qDkj80NLjHBUuw80A4RFiaRiIxMpNDciyKJBNittDvc82PY+l0jlpt EB2LY6mEMPfcJ1GY6QVfzmhoOnm4vTY8PLywww4G3LixYdw8NRKPnbHE0ah/nymMRr0coW53Fl1Q VD2/tpNMpVmU5UEkenP/3O/SToxNHDH5RiPYf5aCxw3a7tTKuhth7zwsvlCp60tLrNl5SyxoRw6P MI5lasmFOxhRiaQGg0kiVEdCHolI47RpEMPDEys0o04xih5dWKdHYmHC7CSFdiSTQstAGY8uUN1M P670suGBgXUGL+q2TQ8NITHznzfxvnk5PufvPrN/Dlk++IeJQHKXsf9qGfmdtCERo+HGhxHjBlcY nGvYYXzdz4nfSaWhQqUinsb+lSRmXbJzFHJkbZsFug7OmeY7q/GXFfxDYfb090+F7JdBm4/PI/D9 QuBrMXsmetXf1VxdVdWOwIj4rKbKksr2EUN2hXLbqoxOxuqfmMttfDk0wkHsDFgPqMUHA7hFMLnV nG3Da4p6MAvRSBjTXFlVXb1A3sul3cNPlFVU1jcM5JY8txne/BNw82cy8QH/5qPNvVhgNXIT0d9e D6uobDpW3dfDcJ84f59H4CeJwNdidsBT7qsrIWP+U1i7zeHUq+UNlWW7YtMd5NL0uZaHHzwGn70S QN9L8cdPy16AtTBlAvbpg+fp60wXvOFUY8O1NTCO2C8e/GZfJA+Eoa8ZwCErn85TDnsffEQ9Nbp0 lz1t7USKCOgn3Casbewxh+uHBCLJqfBCymP29nRMrlDvbogreKTHn9Y4fQHluUymcmvEPPCJcpej 9jtNGyvL24c8LoPW1dW3srY20NVGP1GGHKqRrm70GjWeSh3TttraW7aYApnwxBFMmC7PL77RJmau FflrHoHvLQJfj9mhZsS7mop3L6BPB8ZzxsPPnojM3tdaFw/OdzcCBp5qrR1EzPTWPjcG49dR71xP Mxji1yf6mnsGnr77GwpXsjWFau9tm14j5zaq0NXPGrqRjS8+XKdwaos+7R4afvIYdsJlgv0mucGE bUXt7ezMTq+PwltpHE7DiyaT75WAzc7y1DRZCc6ftrX3iy7lzx58NIQcLirpAltRldUDWoups7iO eXzw4EEhi0Mrr55xWDTo3vb/9g//gy5S95TAjgRgT2R4lzQ7MrM2VP8jPO702gPK3/xUEfi6zC6l LNW2joNvPna9UiQWddVWUE4UQu6h1hnKQehQn8Kffay5CnKP9hdx4+//6u9FJo9DcdLw7BMd2NUO ORlb+I+ePjk3Wc/PzveJ2Lq20dwXJFTF45kNBnFuZBi1BK8oweBJ9D3mOZ81gdoCOY82DNKptNkJ Ajjk6IxExmD9Bodrb5cZSEBdhU5ELyqEcU+FHbCmuWVmeeFToMmOweJxqNtLeDbYBhmsHvYGbEVF rZ6AtaFmZRnZ39w5UVdTu844B1sn4XRooGo4FAsU/+PfV7Yv/1TfhXy7f+QIfF1ml3B5Wit0ztd+ IUQhRhaJ+/Gwq6H0hd4PiSsAd8rcQiGRByJd9i6lFguA52RvHQSyL6wRpwKDRgiUlutkiIgZHUai jE5/lvJaxqSjR0cxSxueaBps/AD6aSLd4bDLIDWV17ITscloVFxqZQJJOJ6Q8sRqIaO2sScrEgXi MxIeA+z9TeJIvjDYoBEiUajlnWObyaRUgElIWnwsjsbCR0dn0XiQJ9S4tIpxBHKGSDRc+STc83gq LuKI05lYb2khS/5Kz0OuYvlrHoEfBwJfl9nfbHUi7DkWvtr/fZPg/6cQp9Uo0+S2Yv8wJQA9WkDI 4dXa4A+Taz6XPALfFwT+5cz+fWlJvh55BPIIfCECeWb/QnjykXkEfjwI5Jn9x/Ms8y3JI/CFCOSZ /QvhyUfmEfjxIJBn9h/Ps8y3JI/AFyJwj9mdTtfR4Sabtc462mAdLXLYO5Tt+empuS/M49uODFut ahhM196u6+iAfnC4cXwcKP/5tuuRLy+PwA8KgXvMLr9UjWN/Ho38x2j0b2LR315d/bK7+1999tn/ +Pw2pUOBUDoZEotyp+k/n/ArxMTCXqPVIj+XeMNfpFXKu7srqamR/Nt/K/uzPxP/yZ8I/vqvLSMj V0dHX6GEfwFJ3C+V6p0Os9N3V0HBl2eYSadCgXAy6j+/Vb/85Wk+nyLkvzLZrBfnkuDbziB/frp8 TB6B+/bZ1SrN3u7/NTj4J5nMr6LRX2Gxf3lx8T+3tX6QRSpt16vkKgOQek3GYolUOgnsiFgVTWVt Ku1ld02XVKkKQWrBMvILmTUrUBcJBuxOV9Y4Asggrb68sLkgTvF5XAqFJuj3yBUakCDotl1cyP3R VMhj4YmFmLaBS8vrIrivPyhHZaXyyRNtSQnv3/974c9+psdgzv7yL117NwdqXCa9XAGJ65sNKpUW UhQWC4ddLqc/FAn5PU5PIB0PSWWyECSOk9EBwx92TzqVtJv1Ki2kHgQYH5FI5ICTQPNsIAsdFJgM +o7316vqiIrLU6XZFvJ7Ly/lgRgkR6QHgj5mR07iF5wdsGgVcq0ZhCeiwEhOOhGL2zTC5qoehVzc Vdd7qVJFIWsQSZlUegXZkMpEgn678+pG80AmKZdJr/xAZVPGc2VXqvQBr1OR1Qvnd5ovLhWhRMZt 0/KlIlTTwOvnj0CBeZdH4EsQuDey67T6paX/o6f7f+ro+Ouurn/X0/1vWEd/fMvs8U3c8MOP3hki czik9ROZkb25ub669OCdh5TdvYrfP4Q1w/pQhN3NuSp4Y23ZoFqjqvi0ELVI8mel3LbxE6WlFQVP Wi8VF3WFJXB43dOyyrry5yv7Cu0JtfrFZ79vGjToFMQ12lTXqMJyo0X8rbXXlJaqiost09N2YLV5 dPS8qurkb//WtQVJ1arFzKrSqhHkHJ22WQ5sLZe1c0Wa4bqa9rE5GnH52bPqLcYR0DVYVV1R3zp/ RF199LQKv3cs3CdVV9ZXlpXts487Who62lsRoztn9NXK6vqiolKglqqrubGtFVbSSeDRKCwOr6Os EjS2e2SFSV9pbGgsrAAK9LLSwunIMrrn/Q/fnTwU7y8tAbvDe8urG6uLH77zKW2HWvzBw1p4LRJH 2VzG1jS31FaM6tWSF49ejBPoWeVYmTl0f0VF5dOifuXFaXVxFay2vLSuvqrkxTbPcHFILC/4qKBv QnshJpF2x9vRxtcOG74Vp3xgHoHXELjH7MccwRj6j6+v/zeP+8/8vv81k/4LLPZfP3r0G5Am7FB3 dyCnsAOFDcv0+Vm2UEuZmiVTDtBtk8mkp78eG427kfChpvIWoMRxcxS5Td3rrx+7GfKu47BHHwGr OiQCUSwWDLXO2fSC4oZJm+pkcHB/cQKDX5r/7QeNAh5/CrOG60LLv5DZA9vbqvZ2wR/9kfCv/ur4 T/9U9POfG6uqwru7oJJERPf4wjnwLPZ3LW3pNdzt2Zl1ZOOIJ3MtppLmgZx8WPfurz/YY7HXN6ji syMsFokeQ20vr+yxFaodYh+8ofj5FBjee2p7txaWGVwll7Q5hUKUteGvI6aW1u3dRfwWeW+oERtN epENwy1trecGF64Pw5dBUxGPUdrRgR5DdJV3bZHHx8Va+xpyfIfORHfMRoOWwebpkN8y0jBYX9wC lN9ONHbs0XeRfUsgIeTSwUfvvLtMYRBW1oU81iSGohbttKK3VKdHKBQT2MFaWpp+52GngMWanVrH tKPyzJ6DLX/96gjcY3Y+/7Sy8r80Nv7vcPh/Br9G+H+Gwf68srIQZBhxa8vfewqHF7fM7GsE1KKi gk8eV7LFmhFYycjoLA5BDIVdc4hVLosKjKTV1IzodbqpoRtDKmBeekwnFJaUt/RjLlXyWRTJqj/v GCFadKJ5An8K3lRTVfWkcehCJiUu7axiFrT2LzKzFeTzFT/7mfoXv1D84heS//7fpX/3d6J//MeI AVJxbNcKS4qfwdu7jznsqoqykudwicq0MDQDsrs43N/ePgOn9saRvVX1jaNAVeUBuR5W09g5crAx ++F7D8oqWy/UurHBrvKykukVNp9KOz7VCqg0oFpvsLP5xbPP6hBbvG3qwcHxzMgKMHU3O7IiPN1v rq1956NHIj2kyy5gkha9U9AAL+5d4V4crhW9KPzkca1Qru0se4bGzM+Mbvk95jk08Wh3/Rkwq9aM 06svF6eotw8rs7069byspgM5dykVreGZaglrdPFAJT1ZJgnQVXWwmoqiDozs7GyDuIdHz1u/iobB 26zz/3kEAAL3mD2VSvn9MZ8v7vOBK/Tz++OJrJE1QByPBL3+YG6B6fd6w1HoM1oqEQsEwjmzDLmr z+uOZpMAYw13QQ74PN5ACCjMh8iAvQFId34GokglPB4v+AgADDeAwC818ZABtQSKa5JJ4AE/oMQm E48DT66sGFRJ6HBNJOTzh7Iqi7PVyNqFyE00Mh430AMXB+rRgAcoyGdT1xZI+5HsGvw6nbhyZ5UR 5RJkK5hORD0eP1iD58Jy7QJXl/gUVln2vKbHmTU6CQqNhvw+8MUyWw5obiQOreuToE7BSNZUANRA EOJ1X+Vs6ORuQUjO+Txu8G0hh8PNFSAF+spkDIIoWwFwuQfsber8fx6BL0LgHrN/EemPNy4JPjXe 9hVfq5WpeMxms4Zj+dMzXwu2PPF3g0Ce2b8b3POl5hH41hHIM/u3Dnm+wDwC3w0CeWb/bnDPl5pH 4FtHIM/s3zrk+QLzCHw3COSZ/bvBPV9qHoFvHYHPYfbcFtVbagOESF/bTgO7QjdU0CbYrR8E3bu9 TsVDNsfVHYK3ZP6WoAyUz1vCs0GZdDJ5GxmP3aikBrt5wF5PLkk0cmv88PUsvophrNdTvOUukQAW Ym+LBw2G9sXeQgaCYtkNuLfH3YbGoq+qmkzEczlngLzt7b7nLWHuH9q7fD3ktbt4/C2HC+KxV4HQ HuKdFECA/+7tnZi898eDwJvMruDuvygqLnlezVc4Lw7J9XWToLWYjmc0vnxjebKquq3sRaNUCxli yCT83ZUVVVUV/aj1eDKwunmjFBpExULOla3tlzClQu5hWPPa3tcw/eOxag8OzgNeI4kB1MO+xbmt isayWiByK9R5RHv44tKigentWNDR21z+vKYJSNfvLKN6Wvrahufudk9ei6zgo1//6pf/MEe9qUwm 7p/F9M/vQ4oxjReHdR29nhvdmW8p9G4QaY54rnglw8/n7cstNzrxQMc22NvKuDCDXft5ZHNRecUm W5FLG/WberqbOWpAmTreWeicXAbhXOp0b1t/fSvKn4jR0QPVtTCmBFLWvYPBClRm5uZU/wIpl5xF nkUuUZ0maWVFRfHzp6MEesChqG9p1r6Snk0tjKIqX5QMTpOTifDqNGKCDB0RYhKxz0uKxghHAb2k 4mkBsPTBFKtyeVqVnKbqgurmbv3VTYeTinrHEd1rbAkg0Ih267qHAq96tVyi/PWHh8CbzI7raxxd 2EX21K3u85dwrb95WnmwM/9//uz/QU+OPoa1ukMxu1plc0Cy6y4F8+OCNj57+1l1s8upYfAlEja1 qqZqky0KOJRMgYRBWWxra8atMc9oE//vrz4Qic5Rgx2tA6hQPLazPjszt8zj7CEQfXW9A1MoZGXH aCCZAba8G2D1PLlhF9f0mw+LaLQtkdLAoq7WNDQfiy+2x9Gt7V0GFySIHosEvP7o3tJIP47QUt0o t1q6KqoX53D92C0BDY/GztfWFe6dcKpqSpxZu5C5Z7MyUvYf/uY9bM+LP//bIqdZiUGPuQO2vucf Iecg0Xrxwcxn//S+9dUAmEt0/+qxqAYaav/+1wVirXdjBVtZ0SZUXF3wuUaH54RKFqocIZe86v1f k7jKgElcXNpnUp/WlLfluhCfVVT6z7+kCoHxvsTGWEN5ZRvIvRNesLp/0AQv5RzTP/nN+xQGD1j6 zoRMVa3t7lBgsbe8rmkQkNnk3OKP3+3BYNOZVDQWnUZUock8u3Lv0S9/KbVnhfOhmmYcTnfMq35U UOsOulFVn/WOLl1nguXP6vR2U1MZjLe3+rCwWKrOmn6G6K9nRrrXjjSseeTMGjMbcJ0IGFsf/W6S wAC3Airm0e8eXt2ILOXi89cfJAL3mT0TaX/6cHZpreCTJ3SebKqvFYXp/6y4YbCjub61lcRR3m3k 8QqqtqFnYri9vHORS5pGoIbLYaN6/XlZZT1lEbtAJLWWlwslot7qNtIUYpV+hGxrpYr1mM7aNdpe w+PHUrV5vqNmlcHpKKnePORXVXfyL5TE2dlPHvyufY5OHGhiXerxvQ2jaERz/5rL6xWzKU+KSzap +67ADTeGnPKWuoYLnba2YRKw0lYXbAA9vrijCyvY02MYbE9jc2PtZ8/q/Xde1LNt3P/9X//p43/+ xZ//5ScOhwk/twDkXJ0nFMLmzTyE0N9gvV0Q3G3sHX8a0du8w5NNjsxvrmyUlKJtBnFP0xhhaoYt 0hsvLy0uSNb3kjS5L1I5VPy6vp3rlBtVV/Nymn6+NsaUaKEM/bZZ9Aj4JyJa4M0Nn35aSqUSgcVq DKKjb44oZ22OTdJBbMKqnJ+cuM6Eaz4rxKBG4fUwfzwdtkmeVNV6s2rz6YgmpScGRIXhcDidLwNz hi3cABpPA2m9kqPlFeJ1ylVWPwNuFxqrxErt2jyuuaWOcnA4OTYE7HNx9knwppaiB78bnVvGIvuG x2eBkJD5kECiM0ASILW/0gd33cEwG5i//PAQuMfsMefl794tZLGYzaUNm7vbdd0LLoNFeXpc2YTc Xp6AtaFZzF0a9SgnMTZUX90/RSKNITpQC2gkcmNjtQSG3FxCdc+sIoYRGxsrLWN0u4LZhloZ6RxS GMAEu359i1LX1kGmrLRg9oD4bR28x2yzwdoGbFZD1/DwWk9HbSOi+tEHdLGi+Xkr+YBT34JYx4/W d+NYx7wT3tHK/Oj777+whaE3z63k//Iv/msPalVvswzVN+PXifCKpgM6Fd48hBvunsev11fD9g8P 4UUlOrtlfYMWzS5KQ07jaE/T3/yn/6WkY8mrFdZWlF9Fo5SxZlhrfzCWchmlNZ+8sy/L2cX+vKeZ nkH2YmaWiwvr6fSjsuJu6ga+rx9Pmpw5FhsEh1Sx7ioZ8U02PeuZIgWd2uoX9cSlyY7OaY2MTT2W JUKe0bong4tUsCqXHW2UPCuwekJdsFoC7aCz5Dllm9xU30fdnOtEo/p6+iRmP/j4IaDMlhWXWr1B Npu1NDrw6HGhOxTH1detMCEdAn6XqfXJu8uH0lQy7vF4ovEosvjxb35byjoVAzPE+7N91XWtvnC4 q7qeQCLUV7Rp9FrWEWuwqWJukx0KBf2BYDoe4OxuPCsp3JPpw8EACEnFQoTBGnjvaDiRtqlPKz95 l3NjQPnzMMmH/wAQuMfsqbBne315YWERGDBPhl1yA/TaJ4JOkcZ6nY7tEZanp2dkauiIN3AXAubi 4iKZykqkUhqFKBqLHWwsLhKp0URCq5LYzWqDyxdwqPVWm1p1CQZjm+J0cnLqwnjlB4Eu73UqKldd AAuPaqUiGvZr5Gq3Vbc4N7e0vBVLZS7Y+0vbuzK1MhkLUNfm1iicy/Oj+fn5swvorDpwXod2dnZh eRl/Ktf5XUbc5AT/QgfC9yjE2SUiYG2T6mwSh+NJVarjzZb+ydyiM+qxrkxNrlJZoL+Iug07VHIw 6KduLC0skVyhhE7KXVhYYAhem8BAhb3uon770uzU3Bo1lLy+OD3ATS3YfTGbVufxR+SSE60zEPNa V/ELeNIeON17cXY0MTllDySceump0hJxmwG+K2QmENDlHWyD4i6Mbr9Dg8NN7rCh7wYi1g5uFq+W 8QeQU9C4nY4f0UkLC0s3x37jQYsR4J8UcMXZo8Pg7M85yGSLeZbtzEAGiV0KaWl5mUimBsPB3a3V hUWi1Re/MismJyelenvEacZPT61sUiDdA1mXCjkI+JljiebmHuQeutpcW1xYJXsjKZWIBfI/EmWn Ii8p8p4fIAL3mP0H2IIvr7LNajHeWqf6curvB0UqGvJ9TZU434+K52vx/UXgp8Ds31/08zXLI/At IpBn9m8R7HxReQS+SwTyzP5dop8vO4/At4hAntm/RbDzReUR+C4RyDP7d4l+vuw8At8iAnlm/xbB zheVR+C7ROAes3ttehJxnUzeIlEZAv6pzpLVxvb5FUzFvBwWP7eF/RpVOnnlcL8W8saNRikDmuDe CP7yAJlU/BVNJGhP2dNLG1mBu4zb7gIbyDwWL7e9bLfotBZIq/wXusyVHbQiIZZKbzelr9VSocYC HQ246/Rauc37mpLMdCrhdniSMR+XI7pL+U39aQGL482qnM7lAJpzu7H+TbN8M10qwGEDAbyv6pRi ofnqpZjua6mCFi1ualbveik2+Frs3ZuQyyg8v5HcuBt+60+fcrgGi1GhgxSKfqmLhgIBP6T8M+/e ROA+s1t0y7jhv/v7f17apK9NjI+PLwjOoacfurIcsY79kZevfFp8cixVWhNBS2cdIn2dFnM5FypI Asdn1R8y+UAnasWTGrXO5nba1TpjLB5hHR6qdKDryNiMOhab44smxAKOMxRzaOWHh4JgFMo57Aei 90lwQM59FcgkI8esIyNQM5tOumxmjdEa8LlYLI7VHzxmMYOJlEJ2xuEpQCq/28nnHatMduDPOZmY f3KqSafCFR++P0Fhg5NxqZgL9qT0RCbrrWzcYXGAELtRLZVqjB6H4Yhz4onm5NbT+gvh8YkQCOjF IyGb2SiX8queVIoVasYRB9RcyuOKZfotHG6Pqwq4ACC8rKUJqEypkGdweaw6+SFfHM4eIHNpz8oL YCKxoK28lcXlecMJcHCIz2ap9KDPuXF2qO2n0eS1XiU5ZElAnxnyXp0J+GqdSXLG05qvgKJJo0bB 4pzE0ykErBuojzYpJcf8i2Qy2lJYvCdQAf2WbNaR7erV6w3azhOoQQE+l53H5WitUL+kOj8TiKDA rMsY5SIO9yyYAGosw6pLCfdUDPqNiNtG25grLJl/SSY94Z5JdEGP/ZjNUVmhrttpNbHYbIfvhsG3 sKip+TXRJXSgBgwTR6yTSA7I6/RUS2X14LQnEGQdMlV68NxTPmCeI5Xw+4LAVIfo9ESqymoD1sin kb196ONcocmYn3nANDvCoOEmnQqITUaTCTS890QiFZxfBLxXgpNjhcEGiPWX5zz+5ctRxqqWcjgn vliaS5pt7cC6PAG71ZZT6ZnLOX8FCNxjdgiTqKWsshf889ew5ZX15aWVB2w+rLy0trqyqmk2N5rs LI8/Ly7/9EEl5+wc2zm1sYorLqn47GENh8erK6/BYGbXCaufffD0kH30/MHT+c3dcWR/S99gfVm/ /FJS86S4vbN5EEuiLq0eHe7WlsMwo9MyPfQuqbjbiGma9GBtjnA0PtheWV396eOOCzHvySfFRDqj obwK1jpwptUvIqcP9snlQAl0Qyft4HwCmHUY6Hv+osUbg2onYZNL65raYd002lHFxw+2uRcgMBmy PHvvwdYBq6WgoHOwp7YBwdnfJ2+QK56Xdw1jLm25w2vJnUXMJ+//I2yWIqSsPi1p2iSvP37vMxrz aGJknkyca6zvWCRQV7HzO1RGVUlxTWUFrONG6zsdv7JLozz6+Pnw5IIlAMnWWy5YD/654OBwv/T3 j9q7W/tRRMIssqy86pOHtRonxJsOjaCypA6LmWPsUsuBaGpLN2H7dLGvra1v8JMHvx8Y6X1ejdDI gLWImq52+Mzq9nTPxAGD9uzp8xdPSufXGXVPHi9v7rXD62rqqh8X9viAhOL19TnU9ua22s4DjgwF q+0c7K2qHWAdbBcWFhd8XLLFhrgSyOTtr04++vA3FePrMsZGdXVzRVnl7hGvvalxZLjnSd2NXb99 4kw9rH0Wv62QCNpqSn7+4InSYml+VtLZ197QNnXzGmD76ho7YeXPQDPLip5Xl5U39RGzRaQQNUVj i+S5saHWvgHw3M/PxeiBRd+Vfhy5iB/qbunpe1YI4wvYtTWNPa11A7PZE4iZxEhXS8/IEKwCrTjn VoGzi/C6edLhXC/2gMEgEuiT7S3t/f0lpe1c9n7h0+fPHxUvUsXZ4q655MWih+8+HZjeXx4vKm03 WczTiElb8OXYlKP6qV/fZPa4R134vBX0mcxFPIOrPtnamh8de++9AhbveJt2kIUv019Z0DtO2KVS pPLz0dax1qqi4RnSLp3OpCy9KMYBTF1G+SB8LBS09tZhwG3LM5jOnVoeHKTt7I+0zoX9FmQ7bm1i cRbR29ZNBgTRrBrndNTT/Ljy4Ucwo81a8Lv3VqnM7S2qkHuIRUIHPPcoBORA68L6+kQndnygDzsj Nov3J8ZXMa0oXyo+Wtdv8kPjygZ6YGZNoWSTZ2c3xtsw3pwc/3VkpKYvmAoP1w5HruOjjcjttY0V PJVKIfS3124y+SBh7ErTBOvFz48+rp45XF0l06VAE/xA7TBkDwI+0l4DZ/DBtD+5NbmAnxj73XvP OCccCp2Ve+1JYzganUUgLHQ3VR5fQpPSoEM9AMcAqxADTTORkB0BR8JePMYR6ZTNTStk4OlatD3V 3LkFPJy18e6hw4D5FI1YmOwctXk8daX1Jp+7uXKWy2DO4MhAhn+4c2S8Z2oa0f60oofDYpxdXmCb hxxOw8e/fY98wCZtbAchq1LX6+iBWYJCydqamVlHN6ND1wlsEwrVBatqxRzu04RKSNI44TO0wHqW F7GflE6wNjZoDJmIvjONRJY0TaWChupK6MgtcMPVdTQOOGabWMWiJqaXnjyu2mNLhuHYeNrXW4PM DeCbmLFTtfMYh0F0d/zuw5LjEzZt/zgHyDoKd6kxtL9o0LtTSwODNPpefxPGarjoa8PhOtFGTwjf PTY91tc/w7acMweQ2ZE95S76EA50ciPq2vdoO9MTNJdBOo0l4Hqwu9Sduan1sVaUJxGfakVPDrUU 1QywD3d5Emi6kok4Oxu6V1emPygY5u/R8Yv7INBhc7xdEwDUuJ+oe5PZkwFL3+AcYHbh7i5fpBcz GCf8i5nx4bqGxgniQW7ipD5nl1ZUNLQPX+p1a7gtmeS4tLy8oROhdzqR/Y3VNVVHAgmqqRo1Nr+E owBkxWxq0fPilnac1WxYmqQEPFbC7DZjgypXKjtba6qrq8XAikzWcZewbSME4GVSVoorasARG+Wl dJPAAvPA6bGh6uKSDSZ7c2ZdpZI3wapLihtlWvvGxIonGiGM4Z1hiLE9FkVddUVZaavC6CRglz05 CfLr9Bq6s7MfMz9KCCXCxAkCl8ne3dpHjfSUFJcxxRqQMBF2tBVUwOGl3fhdMeOAcwJepMRkJ2wA Ob08vX0pYxcXP+sbxe4QqEKxYhzVB4M3Tm+xc+82m0Q93Gd2tjeVV9RIsx86UvHAQF05GrOwPL0D 7LmtTlGEAkZxWUVT75g9e5AnGnC0NVfX1NQJRJLuNvjzolrBpYUyvWq/8oyOTFo8V5NTtAvB0Qc/ /3VZBZwvN2xNEVRaVRMc1ghvZsvN+3hkS+fY2spsWTWsF7sCtNJDbTfn2t6mhNq+EohHCNhVtUZW W1PVCO8QaCCQU1F3V1ElvKG0fZYiYbGO+aoLNovDEU+j+4qLCmoGckPztVZ6VFzyrAc5ujmJqyyp KmttF6kNK9iNcNSzOEbI9aA8Iu7Z8xe1zV1WhwM52NkAb5ynnuQAOVjdUJq8kmMasBgCnrvb4+mr L35RXjE4SaXNr5vcAcr02qX8sq2h9umjhzNU0K8ClznYXHxRWtKPWDepL7fWj51GJXXrcGt+g889 oW0fbUwT3eHIxjhokRLeUNsIbzmUQf1qJhEC5y3r68pgo6vgCEDls2KeUIpCISz5kT0L68vLm8z+ MuqeB6iCuauJBqy/4ombURNQpoF2ldvbl2pSkslX86hEPDvJvpcpdAssPNys9O5FAm3uL3XOQHTp FAh4RQOKvNVI8yow68sA8w9363obnbyt4W3ANSCMAysRr1w6cafOueCXqYD9x+Qd9fKx1wEBxCCz e6nvIgAIwMG01/O/bXsmdT9ltmyT8hSHJwEVOLmaZK+ZGLCIkfXlKgaAvasiKJNKvKXtIP/XQE7H 3zbsvQYveKZQeyFwEm/Te5OrUhKUlvOBqREA5Nb/8v/Vc89kEi/1Cr2MBq/R64GvNA69pHm7Jw1w uBOTefn6gffkC7Qb3Unyk/N+dWb/yUHzPWhwVvnUXU7/HtQpX4UfLAL3mT2d4kl8udcrFE6EE5lI JBm6GUnuN9LnCJ9poW9NQokncGfIvU/3xn00HDu5uNmoUhuD3uibA8IbaW4CMqeSuxtQbyGLxpK+ 7Dz5XpzNGpSZvt5O37kUGLJKO5xhnftm7mG3hc3epM0aILNdO/wrsy8FRiaJHthSvq1fOs09u1pn Oq1ZlRkGS8iS9eg03rUDhyuSDlxFd7lOKs/tBqdwU6kTqe/KHaUc2s900C4VGPwA/mBoVhlCV1kF O6FA/ML89ap9r+H52zwCOQTuM3sqPoLXHckDdn9y98CMY7iIVOP4nsvhjiu1QZEWeiF93pg7BM3P yTQTQx2NeUN9y2aHN5FIZnz+JJhb210xsEkXCSVjiQwwGwfSAr2QvkASKGj0ZBP6PMGeBT1fGQTd iETpAwxlsoZ4cigu4IufKwMaW/RSHdC5IBYzW8OnKnBwHGyfJU+lngaMHtCZzGE+MFeeyhjNYaEm DDoLnycmVPgNVwmR0NFLtFpcMbsjorPHLJbIiSLoj2fEUsfqyY0l6EgozpX6HYFUKBhjSYB1O7AJ lVTqghJ92GgOnesjgHfjgcjAstntidT2SqdOoK4p6A0XdUpWREHA/vtCbyNaQZFHjnb1n45og7fM nk7EKZyr7T1zN8nud4WedUjJymgiFGmb0q7umRE7Tg7DVjdvZsv8vljGofeM0+xTazoy76oDpzEG M1aNG7t3Zdd7HrZI+XawC5memFHULkObTXmXR+BfiMB9Zk8nuiZU42TT0Lplfcc4uGGdIWiHt2zU A0vPshGxqOXpo6cCx5Eqko7HEUvGUPqay7bSZCHqrpktcNZO6HZZznmqZZ7uwK9pJhjuZZJ5esvM PXNWT+rpB/bdS6i7CPlCMJRqlmJaYLqIe9bj86veJcMMyUgV+lY3DUiSGYaWT1HM7dMmpcbbMKHp HFduCLxL26Y5mrVxwnipcPcsGNeZjqMTRyNO24ZR0qT+6RXdGNnchTfssq0tC8Yjgb0WrWac+7g8 RwNS2U6wSy6v1gUQs4N1MhKvw+/aj4RuxLJ+gW4ZJ9vPzp1tc/qBGeUA0dQ9oVG6kpIz+zIf4vFz joMkCCRjcSzesLxpoZxBgQl/pHPe6E9k4sHYDN4E9DGCYfv4wn8F9RPX4hPb2A4k9HK8a2Moo26L d2jTCZb0mFUL7+SqflK3cuQCCjo2toynxsjEvIZxGcDMaM6scdKWkW8BO/JpCtF0aoHWpC5DYGbL 8erbBwjKuzwC3wiB+8yejKMJ5th1cpJkpp84mIqQ4NTBVIV5AjtLFznj2Ai8QDAQD0TTcrFz/hBs T6cAC1wlMhqJo7BfgVsxFAwqda7YMFbeNmdsGr5EHnjUEmfhoBK3rC8YVlkCKbsz6nQG0Ju2WCg6 TrTMUMwEqmF6x+1z+Wd27QsUsyWQQCyqzcHExIp5b89UP6U/OXcL5Z7OSW0wHB/FmyhU4yzDCziC Sdc3zhl5QteFOTi5YfKnU7Mk04HYtX7iVWuuVng+YB8WvaAlH9ngk0aB1LnO97k9MZfZ34rRpa8z bpO3bdyQTifQq8bdEztTEWYeGejK8AHTypWHFwhGnQ9iMoXAtc4PRN2hnmld16iqZtYCptkrBB35 AlrCZGLJ6UVQNJhsBMjcKzAjOmTaBvAmT3YSLjiw0+VRv8Pfu2r1e8IjiyZ3OBkIxJHzKpY8MLZq AX2D2xmmHdqeDCjEuiB6zZLTjkknmU6MELMHbKEpkj3P7N/o7c4neg2B+8yeSpAOXZFUcpvtMpiD /QsGtsiNWDHOUQxVo1rkutkTTfP4drY6PL9hUPnSVq0bRYNEwuL+MJJsu7oKo7ahOec+y8LWRfcO zcfmRNIXQlLsV84gmmpPp9L4DYvVExma1fctGfiGyOGJU2uPTJOM3fOGS2vsgOt0BpPr+1Z7OLnF dLq8sQmScWjNzNeGQblds7r2BavPHx1dMwyvmy/0wfEN0xDBLDKEdziuQCJFYzuN9jBiQb/OdrAU YWAcem7ViFwzjFGdar2Pqw7v7dtkliiDbe1aNOyd+/dY1s45PU0YUGi8Z4ao6NzJN0WFEjeD40BR IGHaeCA2vqRrWjC7oLXCteHSd6yKJELRmW17bp1+yndUoTQ70huhsnQ4Ujuk7FwyEflenzsyPKvp ItiBAWsCzdw+o+dowgqpe2DRgNm2HXGsK3zItLTHEsAQjJvCAJ9nWzuFpg0uc6BjXI2kulLJNIVu rsLoJNlRHkTlXR6Bb4zAPWY3OWNjm1bslnVi2zZOtmFIFuAf37J2zGjbF4wgZIJsHSdbsZvmeqx2 jGztntV14E2ABvxwFJAEuuaST5KhTAD9bZTtJoqcJSBb0RuWLAFU0PiWBU26uc0lz11zJQJKcAsy RK9DNFDglnU0R78F5fN6ElA9K2bTCorGgMqDVCTLJJQK8kNlka3gdhSkAp7batyNBTT9C/rWeSPI FuQDrgAB4AG5gSSAEvhBDlBsNjwXAvmzv8ksAhA9SJttPggHlUFlKw9S5VrRNqntXTVDSUgW0AQA TsuEtm/NAoXcSQhuQZKFPcdr+2/f+HnnE/6EEbjH7AAJYCnkbb8MsHdyNzxHmUPubviPw/8ttOvN It4MuQtmLjZ/zSPwjRF4k9m/cVb5hHkE8gh8nxHIM/v3+enk65ZH4A+IQJ7Z/4Bg5rPKI/B9RiDP 7N/np5OvWx6BPyAC/x/vueDuCmVuZHN0cmVhbQplbmRvYmoKMzMgMCBvYmoKMzE1NTQKZW5kb2Jq CjEwIDAgb2JqCjw8IC9MZW5ndGggMTEgMCBSIC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9JbWFn ZSAvV2lkdGggMTU3IC9IZWlnaHQgMTQxIC9JbnRlcnBvbGF0ZQp0cnVlIC9Db2xvclNwYWNlIDQy IDAgUiAvSW50ZW50IC9QZXJjZXB0dWFsIC9CaXRzUGVyQ29tcG9uZW50IDggL0ZpbHRlciAvRENU RGVjb2RlCj4+CnN0cmVhbQr/2P/gABBKRklGAAEBAAABAAEAAP/iBUBJQ0NfUFJPRklMRQABAQAA BTBhcHBsAiAAAG1udHJSR0IgWFlaIAfZAAIAGQALABoAC2Fjc3BBUFBMAAAAAGFwcGwAAAAAAAAA AAAAAAAAAAAAAAD21gABAAAAANMtYXBwbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAC2RzY20AAAEIAAAC8mRlc2MAAAP8AAAAb2dYWVoAAARsAAAAFHd0cHQA AASAAAAAFHJYWVoAAASUAAAAFGJYWVoAAASoAAAAFHJUUkMAAAS8AAAADmNwcnQAAATMAAAAOGNo YWQAAAUEAAAALGdUUkMAAAS8AAAADmJUUkMAAAS8AAAADm1sdWMAAAAAAAAAEQAAAAxlblVTAAAA JgAAAn5lc0VTAAAAJgAAAYJkYURLAAAALgAAAepkZURFAAAALAAAAahmaUZJAAAAKAAAANxmckZV AAAAKAAAASppdElUAAAAKAAAAlZubE5MAAAAKAAAAhhuYk5PAAAAJgAAAQRwdEJSAAAAJgAAAYJz dlNFAAAAJgAAAQRqYUpQAAAAGgAAAVJrb0tSAAAAFgAAAkB6aFRXAAAAFgAAAWx6aENOAAAAFgAA AdRydVJVAAAAIgAAAqRwbFBMAAAALAAAAsYAWQBsAGUAaQBuAGUAbgAgAFIARwBCAC0AcAByAG8A ZgBpAGkAbABpAEcAZQBuAGUAcgBpAHMAawAgAFIARwBCAC0AcAByAG8AZgBpAGwAUAByAG8AZgBp AGwAIABHAOkAbgDpAHIAaQBxAHUAZQAgAFIAVgBCTgCCLAAgAFIARwBCACAw1zDtMNUwoTCkMOuQ GnUoACAAUgBHAEIAIIJyX2ljz4/wAFAAZQByAGYAaQBsACAAUgBHAEIAIABHAGUAbgDpAHIAaQBj AG8AQQBsAGwAZwBlAG0AZQBpAG4AZQBzACAAUgBHAEIALQBQAHIAbwBmAGkAbGZukBoAIABSAEcA QgAgY8+P8GWHTvYARwBlAG4AZQByAGUAbAAgAFIARwBCAC0AYgBlAHMAawByAGkAdgBlAGwAcwBl AEEAbABnAGUAbQBlAGUAbgAgAFIARwBCAC0AcAByAG8AZgBpAGUAbMd8vBgAIABSAEcAQgAg1QS4 XNMMx3wAUAByAG8AZgBpAGwAbwAgAFIARwBCACAARwBlAG4AZQByAGkAYwBvAEcAZQBuAGUAcgBp AGMAIABSAEcAQgAgAFAAcgBvAGYAaQBsAGUEHgQxBEkEOAQ5ACAEPwRABD4ERAQ4BDsETAAgAFIA RwBCAFUAbgBpAHcAZQByAHMAYQBsAG4AeQAgAHAAcgBvAGYAaQBsACAAUgBHAEIAAGRlc2MAAAAA AAAAFEdlbmVyaWMgUkdCIFByb2ZpbGUAAAAAAAAAAAAAABRHZW5lcmljIFJHQiBQcm9maWxlAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABYWVogAAAAAAAA WnUAAKxzAAAXNFhZWiAAAAAAAADzUgABAAAAARbPWFlaIAAAAAAAAHRNAAA97gAAA9BYWVogAAAA AAAAKBoAABWfAAC4NmN1cnYAAAAAAAAAAQHNAAB0ZXh0AAAAAENvcHlyaWdodCAyMDA3IEFwcGxl IEluYy4sIGFsbCByaWdodHMgcmVzZXJ2ZWQuAHNmMzIAAAAAAAEMQgAABd7///MmAAAHkgAA/ZH/ //ui///9owAAA9wAAMBs/+EAQEV4aWYAAE1NACoAAAAIAAGHaQAEAAAAAQAAABoAAAAAAAKgAgAE AAAAAQAAAJ2gAwAEAAAAAQAAAI0AAAAA/9sAQwADAgICAgIDAgICAwMDAwQHBAQEBAQIBgYFBwoJ CgoKCQkJCwwPDQsLDwwJCQ0SDg8QEBEREQoNExQTERQPERER/9sAQwEDAwMEBAQIBAQIEQsJCxER ERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERER/8AAEQgAjQCd AwEiAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIBAwMCBAMF BQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYXGBkaJSYnKCkq NDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeIiYqSk5SVlpeYmZqi o6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn6Onq8fLz9PX29/j5+v/E AB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIBAgQEAwQHBQQEAAECdwABAgMR BAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVG R0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKz tLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A +moPEE+hatJeW4le0u3C3arwqMOFlyePZvbB7V0razqVlqUWvR+XHCyLbXy7i5MecrJ2+4Sf+Ak1 Rj0R4p5NKvm83CkwSv8A8to+hDerDv6gg+tRWm7TZv7Jn3TxYIhONwZO6H1I6fTFejzSgve2PO5Y zeh2N1FcWep2niH7bK0af6NeBG2qYWPDcf3Gw2fQt61u32nx2GqWWuRxBhn7HdE/N8jn5Wyf7r45 9GauQ0K9uEgfQrmNSixlY/ObO+E8Y98dD7Y9a6LSbuWXT59A1e5zJbx+USuAZYWGFcZzzwQfdawn iYOWhrHCzSuzYuov7O16y1DOI7xTYz+meXjP57l/4FUztHZ+IkkeVVS/tDGcnH7yI5H5q7f981zT arbappE1jdzlr22Pll2bjzF5STHoeD+Ypz+JLC906C/hjjWa2ZZyiDJUrkOvHtuFHtENU32N21ur W38RahbrMCtxDFcjGTyNyN/6Cv50mmXEMF1q8GJmH20zqBGx4eND/MGs2+1O5Go2F9bWVw6sWtyV iOCHwV5/3lX86esut/2xP5el3AM9sjgEY5Qsp6n0ZaaqIThI4/TtbNvY6hZ7J/3Ulyg+Q/3n/wAR WxcayJPBdvbfZ7gmW1t4chPXaKzoPDHie5m1Z10shPtEuSZVGMqG9ferUuj+JIdB05f7OyrG2xiV cnlcd6IzfUU6avodXrmpLJDp9r5U48/UIAf3Z6K28/otLqV/b3eu6RalpFETS3j5jYfdXYvb+9J+ lZc1t4jfVbBZNLkJhWW4wrqewQHr/tmo4LvWH1m8um0m6/cxpbDEZOMZdun+8v5Vq5K5ladjblvr S58SRZuo9mnWrPy2P3kpx39EQ/8AfVQW88WoeI7u+jlEsVhELOPacje2HkP5eWPwNcyvil9NsLzW 760lH2h2uFDxkZUDbGBn1AH/AH1VO58T+HdE8GstuYptYucgPtIInkOWfj+Fck/RRTUo9RNTadkd HBqNvdatf6s7ZSL/AIl9uD0KqcyMPq5x/wAAFYmlvpuqandeIWwin/RrQoxQeUpJLjH95s8+gFee atqt3a2MOkadJewpIvlCQlsKn8T5Pc549zXLeL/ixbeDra20kr9q89ljaCNgjGLuFOeOOPpWylFG Ps5P5ntljJLf3M3iAXcixupgsxLhgIQcl/beRn6Baxk07xV4guT4rj0iW40u13pZMmQGA+/NtPY9 AfQe9Z/gfxxZfE2wSKz0y+s9LWURX87ICAgxmOPHUnocdB9a9E8d+MtMvrCHwT4amS3tTCBeyJlD HEOBCvQhmHX0X6ilVbdlBaFUkldzep5lHqyavfJe3ZkjsrJ8wBwQs0o43+hC8hffJ9Kvp4k1i/lk Hh+0huYoTsklkmKru/uqR1I7+mRUF+ovpl0bT8QxKoEzoMeUnQKv+0e3pya0418M6NFHZPCsO1Bt jiRmIHqdvrzyevNNKT6jc0raF2ylsdXQ2mqKY7yFt4Ytnaw6PHnjH4eoPvotDp2qRvpl40cd7CA4 EXU+kiD09uxyPrizQxLMZERQ4PDAc0kMUaT/AGlEVZsbfMAw2PTPWolNJWkawpO94mTq2q3E+vQe FW0a+hv40+0PdBQsKRg43q3cHpt9TjtW/p6NE6zQqRIh4cDLD8etWE82YgyuWPTJOeK8p8d/s+t4 vuJtR034j+JrC+LZAnu2mt+n3RGCu0fT9a5VKnC8krs6JQqTtGTsj1sQwiX7Q1tGZO5dAc/X1rof Cer26XdzYvbQxCciRFjTAZsYbA9wB+tfFur+GP2jPhDuu7XW7/UtOiOfPtLiS5iCjnMkbglR+H41 3Hwc/aJl8W6rF4f8ZR2lhqkjAWd3AdkU79kIP3XPYjgnjAOM5fXqUpezkuWXmafUasY+0i+ZeR9X ySTRaTNZC3eSS0OIMkAkKQyfoAPwqee7vpLixv4tNChw0fMnZ1DDoPVRXP8Ag7xFruteKrvRdV0u MWotFmtbq3jf5iDhlkJJAb06V1t3quhxad/ZcuoCC9U/6PG2VdiDxgfpXJHFzdRxkrW/Q6pYaHIn F3v+pQ0waxcSayqx2UJXEu195LZjxxjH92uEtviBrF62laUmhxAQSREuZG52Dpj8K6jWY5ddvPP8 FatcMEQJdiFt4JGcbifY9vesjxQ3hltJtYvD80dtqVmyrLMgO5TjGDkY656elavEdU/TbUxWH1s0 asfiXVG1Ca6bR428uBIsLKRjkseo9x+VaZi1OPQWxa7LrUWLMFflGk/D+Ff5VjSXCWfhm+TSJG1L XBal1hT5i0xTC57AE+vapvB+v+NtH8Jzal8SlC6qXMVlamJUJAA+dtpI5/QCsoY2bqqna9/uXqza eDpqm53tb72Y3iG+vJLq302RPJhtnWQxHndt+4PoDg/gKikWEI17cGKMAfNK+FA+pr58/aB/aLvP BWpP4f8ACUtrda/JmS+u5R5iWeeihehk788KMcEmvK9G+CPx5+NlxHq3ivXri2sZiGN5qk7uNp5/ cwDg9eMBR716H12MXyRV35HB9Rk1zt2XmfX51nw/fSta2+s6dcu3Bijuo3Y/8BDE180fFv8AZSi8 bePrbxVZ+MtZs1nlVZLZHAhhjU5cA8FMjPr+leieFv2P/hP4bt4JdXgvddvYtu+WeYwozZzkKmCP pur2MWdvZ26W9vAqRxKEQcnAAwOTyePWtvbRmv3iIVCUPgf4GR4b03TPDOiWXhjRIRZwwxBUc8pE vQux7sT0Hc+wqxq9hZ2zpo9k6SXEh3O8jBgueru38TH0/oKhvCcmsqbJbBrZ4jm0S0Mfqjjq3qal v4djsyNO0Rne7c75Hc7kQnrJJ9ewHJ9h02rTTrfw4phu722eec+ZJLLJtklPTJGDgdgOgxis3woL qed7C3u0gaYgqzrkD1/HHTtXfaY1hpkJi07Sbu8dzunuSVbzW9pDw2PbgVrz8vwnN7Nt2k9D4t1f 9siwhuJU03wRLIFYjM98ATz6KhH61Th/bTaNTLcfD6IxIQHZNQYY/NDXzHdT7pZQOCGOQRXefDXw 9/bng3xrJMsETQWqNFLO3lxp8shyWPAHHWvkq2Nratv8j66lhaWiSPonRP21PBE+Bqfg7VoB3e3u IpwPwO013/hz9pj4J+IJDGfFB0uR2AC6lbtCOn97lf1r87NEtZLnUrRL6WWxsZ5lSW7aBisSbgGf A+8BntW/4+0Y+C9UkttP1uz1zTCwEGqWTlrafIztDH7r+qNgiuR5hUjPlvc61gYSjex+nFpqOk6z Z/btE1W01C3P/La1nWVPzUnFeA/Hf4B2viKGTxb4Ft1s9btgZZbOEbEvQMklQPuy/wDoX1wa+KtA +Juu+GNQW50HWb3S7pDlZLaVo8n3xwR9civpn4R/tftqs8WhfFB4InYiOLVol2KD289Rxj/bXj1H euyGKp14+zqqxxyw1Si+ek7npP7OP7Q2oa6zeC/EGpS6d4ns0MEFw4CvdqOCrBusq45BHzY9Qa9u um8R6ppsuoyXDX2p2M4eAuozIu5cqFGM9cjHevm/4y/Ci38RzJ8R/AziLW7cC5f7IwAvAvKyxlf+ WowCCPvfWpPCv7Weg6f4di1Dxte2thr2kzpbzO8TH7Spz8yoOQdyjcvY+xxVSTl+6qv3ktH3X+ZE Ul+9pLS+q7P/ACZ9J6T4svND1LVNOtZLWyuIpELxyxHhGyRkcYPTmpPHMK6hYwf8IVi6ZLsHVWwG WEc5zwO5NfOOuftb/BfVpbjUx4yW3v7uKNXddOmxlG6fd69859axLT9s/wAB3GubdU8a3sOkrqaT hbbTXjEsXkfOshwSw8zoOOaUKdWUXF/1/XUpumpqV9D6bu9fuL7S72fw3exws1yIUntjiQFMfyDd ceteRfH749Xnw/0iHQYNXm1TxRdxEQtM282iH/lowHf+6vc8ngc8Fd/tYfDiw0PVL7whfRalfRSG LToZYGhYPJksz7gPkAC5I68DvUPwa+F+oa1qv/C1vibJJdajcSfarW2uVwd3UTSA9AP4U4AAz6VS c42hH439yRLjB3qS+Fbd2zS+AfwIw8XxB+JVmbnUbl/tNlY3SljFk582YHrITyAenU8nj6P1DxJ4 f8N2n23xFrljpsGOJLqdYw2PTPX8K+afi9+1FbeH2m0H4fz293fDKzaiRvijP92IdHYf3jwO2a+W vEnjnWde1D7Xrl7d6ne3Pz+dNIz8f7Oeo+nArOeMpYdclPVmsMHVxD556I+6/FP7Wfwp0USQaVLq GuTL0+yQbIyf998foDXlHiL9ua/y40LwNYwJzhry7eQ/ku0V8x2TzX8kaXt0tpZiQLPMQdqLnnpy 7Y/hWpvFui+HJtemHgS/1HUNIiAjSe9VIZHfblsqpIUEg4XJPrzXEsyqTko3+5HW8vpwW33nsF7+ 2H8W7+0e/s9G0W3tlk8oyC0ZlDenLmsmL9rn4sCXdPHo8g9DZYB/JqTw94EbX/gncW3heO51bVF1 DzbiCC3P7llI3AHPzKFwxbjrXk/2WFH2FyXzsxg9fxrso4yT6nJVwsV0PsX4A/tPjxl4vsfCHi/Q 7OxvNRJXTrqBiILiVRu8h0YkqzAHaQSCQRwcZ+vxr94/DMbNV4SOKJZOPcsR+QAr8mdCW+0bUdP1 aHdDPp19BqFq5yCskUiuB9CVwcdia+19M/a58IajB515oWtWc2AXjESyKCfRgRkfgK97C4qE4Wqv VHg4rDTjO9JaMytD/Zw+FGkayutW2lXEk0bNiO6mWeE5yMGN1IPXvXXWfwY8HzeHr3wm9zqbaTeo YWtTOm2JCPmEeFG0HJJHTPTFXoNX04OQdRtOD/z3T/GtvTtUs2ztvrc/N2mU/wBa+NrN3ufaUoRt Y8zuf2Mfhpe+HZ/D1vrutxQXEKQFpHjkYKrBuMKDn5Rzmuev/wBhTTY0t7bwl4zjsoVuVe6Fzayy Nd2/AaGQeYVPqG28fhX0hZ3SOo2SK30Oa0YnfO7y2J9dprGUpSfvM0VNR+E+K/F/7AfieaabVPDn i7Tobu2h32oWMoJZM8Kc42YUcMM7i3IGMnwrW/2c/jdoVrqOo6v8Pb6xGlRGeeVNjwTIDgmPaTlv Ycd+K/UmaZtp3AjnuKx9SlO04P0rppQv1MJvlVrH5ufCD9oPxB8N5RoGtxT3eih/3lnMSs9qc8mL PT/dPB9jzXY/Gn4Z+AfiVo118Y/AV5bSTiAyX6RnCz7RksVH3JgDyD97A79fc/jZ8Evh/wDFNS+u 6YLXU0H7rVLMCO5XHQM2PnX2P5ivjjxh8Lfjf8ILnUrXT9Vtbjw5qsUlq13aRSOJIzwFljz8kmDw 3TIOD2r0k5whabvHv1R5kuSU+aGkvwZV+IGi/CKb4a6PrXg+wvdO8Sw3f2XWLSe6MoZDGWSWMEfc ZlPuDwa37nQv2ctc0yx1PwR4d1aK50KeCbxBZXepsxuozC5eOIleD5gU57Bq8a8R6DrWm6FH4g1P xN9olM5tfszK/nBShYPycFDjHHfGa6jWfgz4t8G6JoniKw8X2N4PECRMINO83z44pE3hnBxlRhQe cZxWsK9L2Td/mSqNT2yVvl/X4HsfwM+EXgKYN8W/Gi2dppulXTS2drK22NGRsq0hb7wBPyr1YgZ9 DY+Mf7SOs+LBJ4c8GpPZ6NJlHcAi4ve3Qcqn+z1Pf0ryfwt4G+M/jtbTwfoWomXS7W4aWSa+hdbe Asfmkdtx3v6Dk/QV9k/Bv4G+C/hxdQ6rHD/aeuHG7ULhRmM4w3kr/ADk+prBSlOFqT93q+5pywjP mqr3ui6I+Z/BnwI+NPjqH+1NK8CXkiggR/bSLWL6kybdw9h+J7V798Pf2Fbi5sPt3xR8QBNYlkdv L028LxQL8vl5zGPMP3gRkKBjHrX1Hp8rMoHJrT88wktIdg2g5bgVxVKMVr2PQp1JSVjwhP2KPhu1 9b3+s+ItZvkggWP7NF5cMbsM/MxwzHr0z1FegH4NfDRLea1l8L2Utu9uttFAYUSO3QEn90qBdrEn 5m5J9a6e+8WeHbIEXniLSoMdfNvYkx+bVzt/8VPhtahvtPxD8Nx4HfVIf/iq5FBJ3R07qzKugeAP BngS3+zeEtDi01FkM37qR9xfuxYnJNc7P8PPh9b3DXMPgvRUmdt7SfZELMxOSSSM5yafqfxy+D0A YSfFDw1wO1+jfyrlr34//BgYz8StDY44Czk8/lWsL3uRPltY1rvwh4S3s/8AwjOlFj1JtI8/nimp 4c8OTf63QrFwgCrmEcD0rk5/j38HmOE+IGmMT6M3+FJZ/Gr4Xy7zF4305gMfxN7+1exhqllqeNio JvQ/PqfxV4Y+2XCXb3cLJI20sWUMMnnAziqOp6xDb3mn3yPPDZMS0226x5i/w/Mfumu3h/Z2m8e2 9z4q8Pa60+ny3U0MX+j/AL0hGwWIyO/pW7+0toHhs6No+l+GrMxyWWhQQTILeFHlufNVGbbCSOcZ wfm55Ga8uc4U8RGk2/eut9rHqShfDKpC19Ha3zOGi1jybdrwWniS2t/vLMtwShHrkcVnXPxJ1vT7 9YNH8Ya+kewNvXUpFIOeeFfpivoD4bftZ22saD4k+Eut6OLc6ZZJDZQyRREGJI1jcFlzltxz34+m K+UPIsbDxysrQL9kiuxKEYDbgNnH0rnwkqkqk41ouLirrW97hXklGPI07u21rHvPhXxV8db/AMN6 h4s8N/EzxUy6bcQWy241G5xI7kE/LuJyBz071tWH7SX7QOl6hZ2WpfEvVLRZZdt0dRgEqxKBnPzJ nk8YrqPC3xk8P/ErRfEt/aGztr2LUbONraIjc0KKI0lwB0JXH1p9xbaPqsj+fFFMWzuVlBrKderH WpG35rQ15INe47/lub9v+1fq1pdx2niPU9F11HTc0sVvJbSA5xsBXIzzn7uOOtbP/DSfwq121aG7 1S40qWUFNl3AzoT6b1H81FeEePNO8D+Gr3T1j0tludSuBDGkDAGNP4pDn+EEjp610/wp8Ov4lm1e 3svBmn6rNos5mM9wNxWIR7st2CAZ6c1ccZVhTU05NedjB0KdSdmkvvPD9f1Xwe/izxHNLoep32nX N3LLamzkCJk4CsAVOEIDHGB1HpVDwx4uuPDuryz3lvq7afcQizlt2lwzREgqmWGB8q8cc49K+mvF Hwktden06wbwxZ6dDqSyXT3WlkwRQqDkI0jhgCVf0ySM81wnhHwj4t1jxXf+HPFngxZrCG0a20i9 OnLBCJYSwiaV0UCQEMQSeoxXRQxrnTm3CzttrttcUsPGNaEee611sv6Z6Zpf7Tfwc8E6LY2zahe3 M5hVltLOyZdhwOC7ADI6EqG5qlfftmXt8yweGLe30eCUAi4kga4mRSM7gW2oTxjG3v7VxXxD8HTW Oj6jY6p4c0VL+zWyinnsIi7W4dlILEfd3GMkZ7E1zmoWfgvw/p3iO6sdAuLm98LWavdLdfPDJMYz J8jKcFcYyOorFYqpVjZcyfZW8v8AMboU4Svo/N3/AK6Gp4k+Onxb1vWYrOw+JPia+tJkIlSGYwBW 4x/qjjGDUlj4L8feLdH17XPEmqau91o9pHe2kct1LI0oLMGDbnbdwAccda6bRb3w9eeHtM1+105d Oh1C2juVhZQrR7lBwf1rvvBWsRrZ+KLpIZJo4dEMrJEm9iqtzgd/vVyyxFS3up3Xc6aVOMt+vY+d LXw94v17R7e70Dwd4nv7m4kJ3RaPIbZoscFJASWYn2A96uad8E/jZq90sTfB7xVJASC7CwO4KfTe yj86+mfh78a7rRfClnoFjHeiLTx5G26wJAVJHO0AYPBGOgIHatnxT+03f+EfCWreJJpYozaWrOnn ltjSYwinHOCxA455rz55lWUuSnTV72W51ywsFG8pbeh8U674E8X6Fqur2ereFLjT5tDkjjeKW3yw MoLRBsEgsQp4BrkL7xHJaO8DaYi3KHGSigA/TGa+ptD+MEfxJ8OeM/GcSiOa5/svVCcY8p4jIHwW BwoOcE9ql0D9n/wX8VPC1n8SdZu73+0NYt2urllvUkDSAsuchR/cHYV6tDF1E+WtCzWnzsn/AJmF DD4ecm5zdmrqy8/8j5+8O+EfHXiK0Pie28KXjaFpcS3F5exrujWNiyhmIHTKMPwrstB0CW/tmu9J 0jVLmB8YkjtdyEjPAI9K9W+C/wAZvC2n/BPxP4JsdEWzeHSmW4Elx5hnxMT+AyT/AN9VyXgP9qrw 14E0QeH9S8OiKGJt0BsXMpkJ++7gn5cnp+Nerl9Z1a1WlVVlB2W+p89i1OFOM4at7lH4E+Lr2L4f Jp6zXCo9zcCN4rgRsh3knqD+deC+MPG+sfEeWbQgtlpME2otsugSMFDjDBBnktknB5rW0DVNY8PW 39mWV88cEcjk7cjfliTnnHf0rN0vw9pNnrlvqkNnMWt5WnDO+5N5OSSuMnn3p4fCSWJlVqrrp956 +Y4zDzwlGlhnqo2lp1slp+PYxfh/oWreEfE8OsTXFlPY3Vxc6RNMkmTvUZLAEZwSOD35HFdOfB2r +KNeWw0exL3F5J5MO/5VZmyAMmrGgeHLVUKXAe3Q3w1D5WG5XBzgZzwTnP1r0RNbW2VZtNDR3Mfz RTKPmRh0bPseanEKo6/PFX/yucVBwVLkk/8Ahznfhh8I/HHwyk1vW/FWgNHbuY9Pg1GK4V4DMsmZ IlAPzngc44x711HhLxAz6tcNdTncWcqg/iHy84p0PiPxTrPhpPCes6iBZxX7akzx/fnnYYZm4+UZ GcD1qextLWwBa3CBv7wXBP1NPFUnUk3bcKElCKinojz7476wia7pov40RTamSBhJhzhyNvTuefyr 0PwF+00PB/hePw/pXh+9t3l+W9uY7yIvdxnBZGHkgDLDO7lgPlBA4rgfiX4RbxlfWVwLp1ayJOdg O7OOM+gxWTbeCbmGMiW6YMOmIsj+ddGHwlP2MY1N0c9XETVVuOzPQdT+Kula745/4Tzf4hsrxIlt 47eJ7d4UUAqx2sMFznhiOBxg1n6p460vWd1v4l1XxVqlhAXaztnltojDuBH3lXB4PPHYHiucsfBk hP77WYbfB43W8rfyBp9x4MLxMU12FmHAUW0vP4kV0unF3bb/AK+Rn7WSaSS/r5nZH49aFZa82v6f 4N1EmXRYNFurWfWP9HuvIQpFcSIsfMyjoc47EGuX8ZfHXW/Eng0/D228OaRYaXdTFpJUR5buRmXb hpSeQRxjHesVPAtzISJbxu/3Iv8AE1t+H/AUNlepeTNJJjjDnp+QrF4SjH30rsr29WXut2R1GseI bO48Kaf9kjNqi28axxDon7vAT2xwOfSuO+InxQ8YeF/CMFr4W1prGTUbWSDUygAke3JVdqseQWYk cc4B9K9KhsdM2YaFASMEgdfrXB/Fvw7pg8PXF/pkpt71TGSPLDRvEu7KkYP94nPqK8/D0Y05pSV1 c7ak5Sg+R9C1+zn40uotLmHiLxHpzWl8/wDoFtPdr9rR1OH3Z5wflIB/OvSPjho0viz4YajZaaCs 8IF3Gjr8s+znbnkZ7j3Ar4bvdRuEvS6ybWjbIKfKAfYCvp/4VePpfEvgw6Rql++TH5Z2tyRjBBrl zHK5RrRxdHe6djbB46M6bw8+1r/maHwXivNG+GvjDT7nat0nhTzmH93DyEA/TNdH8GPEnh+1+BUG qeJPEEWlxiaSJ72XOYTuOwKQemWHGMdfWuaaA6dCbSC8aS28vyvLPHyf3T6j25FYWrxW0+gXXhmN pbfTLshprSJtsTkHIO0d896VTCSrt8y3kn+FjvwOYrBc0ob8tl63TV/LQ8z8PfErUPDw1KG1gtrq O+jktnZyeUL5yMfT9ah0DVNJdJRqGhQ3Ui7QHZyDjnjirtz4D0a3z9nSVV7fOabpvhW2R5gs84Hy 9wfWvoYQgrtLc+XnKT0Z1BjQXEhI/jbr9auQonfjmqLTf6VKc9Xb+dWYZAPmPrWjJRq26RjBx+Jr SikXAycVipddAMVOt1t71JaZ0ENwqryaspdFyI0yzMcADkkn0rO8OaZfeIr77JbukUUa+bcXD/cg jHVm/kB3PFem6GPD2hWsE2ix+e9y5ijuHG+Wc9x0/dj6ED3NQ2kaxi3qc9ZeDtfvsPJZ/ZVYEg3B 2M2OThfvE47AZrYsfh6slx9mudQcsyb0aOHCP9GY57jqv06V2Fv4gg0iZta8RWtvZaY8bxwEqWur l8Y3xRknKg9Nxx703wLGbrxDqlx4juLyyHlRpFI9m0SzoODyPlHJ6YPrR7R7j9mjmH8G+FbOVINT 1kRSEhWUXKOVOf8AZUjpn8atx/D/AMNzXAtor24nZfvNAxeM8H7r7NpGcc59fpWrdfBbwuymdvHx st5OUlMUv47lK5/KvQfB+n+FvBOlQLJ4siu2kZnS4nuUjRj/ABBEU7ce3PJpSrJLQao90eO3HgXT 7OdLLUNRWyunYny2uY3+X+E8hckntx05Paorz4f39s4W01C3n3KXGVZPlHUk8gdO5FdT8ektPEV3 pWraDfWt5JHE8NwUuYwqKDlSec5yWGenFZOneJdZ0nwV5viGK5ksbm9VP7StrtJ3hYJwArZG0gcj Iz+NHO3FNB7OKdji9U0/WdJVpbywkWNf+WqjfH/30MivOvG3jdFtJNKj8rdICGYjcMfjXvOv3s9j 4Xm8VabqFvf2cgaJri2BQ5I6NH1Dr/cJwc9a+QNYjn13VtT1S6uY7OGNnMcYQguR0BUZxmuPEJzV tj3skdKhVdWaUn0T/M4u+0WW4uXuFcbS2T2FerfDH7BpVkAtxF5z/wAA45rzSW9Krt28+ldF4Iiu ZNSEjMEU4zg8n6mtOeo0osK+Dwi5qkE77nsc16WGSRWbdThyc4qF7g/3hVSafORn3rdRPnZSuQXb 5zwKh01WZ5iB/d/rSTTZHXrT9Kc7puh+7/WtkZNFOa5P2mU/7bfzqaO5PUkVlTTf6RKAesjfzpyz jGd1VYhM20vD1z+VTJdZ6kVhpc9gRUq3HGN45pNFJnt3w8WGPwMbksV+26m6XEinDBY1TaM9sb3b /wDVXTQ6hG7olp9rimlUpG7s5GAc9H2ksT3CmvKvhp4ysNPW48L69OIdP1CRZYrk9LacDaGb/YIO 1q6/VtO8RjUk0qG5jsrS7TEs+cAqBkyM45kBxw2SDnHB4rmafM0zthJOKsdf8RoF1CdvFNtoD65a SWCWwSOVw2mOo/iROSO+enWnaHrWifFP7HBr/iEabrFjbCz+zELi5GCN6kkZYg8r1BrktC1aaHWL HSPDss0QaYQi6vJyssrtjGdpxGnGQnzGtGHxrfawl1cS2Nistkplna+so5ljUHAYvwRk9M8mlZpW HdN3NTxz4S0fwo0UrXN1eNqkp3q0qQruUYAxg8HdWFL4t0VdEsfDo02aSKKQ3UTtcglNyhcE7cYJ A4OPXvU+o+OfHEmpLp97D4cv2tipazngYOgbAGARwSCMV01n8QNBWBGfQLO3nh+eeG3tUmJ7cMMb DnjJBFF5JLm1Fo3poYPgaHwl4p1xdK1exuYo9pNo4nYFmIB2nAxkjcevUe9XfGsEukvbeEfhfoeq S+ROtzdTqHkhidM7VBYbcjJJPbgVg+LPH/iS8lM9jrtnoWnwytFiCE+YzjBKkkLyAQSPfmqsus68 PtNvLq2oarqFpGs5s5pQGliIz5kaLxIoHPDHjtS969/wHdWsdqtxJZeGtQ0fxLdW+p6zr0yTTx26 BobcIOOVABfkk46Dr7+XfFaTR9C8M3BtNBtrWR42US2wQqOOGPCnJ9eelXdYurbUY7LULt3vLK7G +1voG8q4ik4DQlSSrMpx8vy8EEHmvNfi3c65Do90l1qTXtqgEaTSx7Xx/dYnnP8As5OPbuvZuWhr Csqb5n0PFjLGJxIWIH5mu18HahAkm58pk8Fjgn8K83e7ZX3KcH2rQ0O5nOoRP9seLawOV6mtnh5X uarMqbhKD2Z7ldWOoW1ol9JDsifkZOCfwrKluWOcGqz6ldXcURuLyWYIoC72JxUDT8nkfWrgpW9/ c8yrKnf91e3mTSzkip9JkfM2CP4e31rLkmzxnrVrSZSWm/4D/WrsZNmXcS/6TLk4xI386BOSfarE 2kt58p+0j/WN/B7/AFpq6UzLuNyPps/+vWxkNE/qakWfHOc0f2U2R/pPX/Y/+vUg0puf9J/8c/8A r0rDuKtyOh5+ldh4Y+J2teHrddNnSLUtNU5Frck/u/UxOPmQ/Tj2rkRpJB/4+f8Axz/69Sf2Y68f ae39z/69ZygnozSM3HVHrNl4r8Baxc2t7bapP4fv7R/NgF0o8tH9RIgK/mgq5qXh/UdT8Ppo/h+/ tbqFp2u7uWC5E73kp+6zlSTgDoMDGa8d/stx/wAvWeMj5On60JpskZEkd2VYdwuD+eaz9i7+6zT2 /SSPaJ4vEF548sfEeq6LNZ2FrcRTyJHGzvIY1ABbjk8D2FZ+iabf2et6jLqWmF7TU7C4t5liikKs zncu4dfvAZI7e9ec2954jtD/AKL4o1KIDoEuJBj/AMeqY6/4yJCHxnq5B/6epP8A4qp9nK1kV7WO 56heW3im8u3v9NsL9UvY4/tOn3VoJ7aFkXbhQww6lQACcMPU1V1OytFEH9qajpugiwuPOsJTfBJ7 RMAmNQCzFd2WA2/LnA4ry24l1y8Ui78RX849JJ3Yfq1Zx0o7s/aOSc/c/wDr0exl1YOvHsep6l8T vCelyTNptvNrNzNKZpG8v7JaNIRjcVHzN0HTbmvF/id4x1bxVcNcapNGEjG2G3hXZDCPRVHT+dap 0ljz9px3+5/9euV8TaSzEj7T1/2P/r1pSpKLuZVaspKxzuj6CupL9pkY4HJA7VCYRY6p5QOACOTX c+FtFEVsQLjOVx9z/wCvXO+I9B2asrrdYJP9z3+tdCetjntZXOqtJQbePB4KinG4x0Io0/SmNnH/ AKT91cfc9PxqQ6Sx5Nz/AOOf/XrJ7mhWebnnFXNIkGZvnx93+tQNpLYz9p/8c/8Ar1c0rSnXzf8A SRzt/wCWf196LAf/2QplbmRzdHJlYW0KZW5kb2JqCjExIDAgb2JqCjExNzk1CmVuZG9iagozNyAw IG9iago8PCAvTGVuZ3RoIDM4IDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2UgL1dp ZHRoIDQ5OSAvSGVpZ2h0IDk5IC9Db2xvclNwYWNlCi9EZXZpY2VHcmF5IC9JbnRlcnBvbGF0ZSB0 cnVlIC9CaXRzUGVyQ29tcG9uZW50IDggL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngB 7dAxAQAAAMKg/qlnDB+IQGHAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED BgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwY MGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDA gAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED BgzcBga3F0NICmVuZHN0cmVhbQplbmRvYmoKMzggMCBvYmoKMjM5CmVuZG9iagozNCAwIG9iago8 PCAvTGVuZ3RoIDM1IDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2UgL1dpZHRoIDM1 NCAvSGVpZ2h0IDE0NCAvQ29sb3JTcGFjZQovRGV2aWNlR3JheSAvSW50ZXJwb2xhdGUgdHJ1ZSAv RGVjb2RlIFsgMCAxIF0gL0JpdHNQZXJDb21wb25lbnQgOCAvRmlsdGVyCi9GbGF0ZURlY29kZSA+ PgpzdHJlYW0KeAHt1s9LKnsYBvB0dMaZbEzJnBAtf2AQCNZsigKjEjcRRclsbONCskMrWwgZBC36 RRAEQeUqiqJAcCFFv+6/dsf0rXPgrpzz3tXzLHo2+Sw+vnyxpwf5XwRsFDtiUYAkbb9/cTab3S60 40AsCnQg7Xbbt3Hb1+EURUlyyYhFAZckiaLTIQg/xjbzfp2iJCu9btWDWBZQ3b2KLIlO07h9xV/A kmzq+gYGAxpiUSAwOODzqG5Z+ia2CYLoUlSvXwuGR6KxOGJJIBYdCQc1v1dVXKIgtI7YPGGnpKg+ LRRJjCVT4xM6YkFgYjyVHEtEQppPVcwrbr0TrROWTeDhRFKfnEnPzS8gFgTm59Izk3oyMWwSy+0j tgkOye3VhkdTU7PZxeW1nIFYEMitLS9mZ6dSo8Oa1y05Ws+ETXDKqj+USE1nloz1QnGjhFgQ2CgW 1o2lzHQqEfKrsrMtLCr9WiQ5lVnJF7fKlZ3qLtK1QHWnUt4q5lcyU8mI1q+IHWG3L5jQZ5fypXJ1 //DkFLEgcHK4Xy2X8kuzeiLoc3eEpT5/eGwyaxS3947OLq6ua0jXAtdXF2dHe9tFIzs5Fvb3Sa0b tjtcqj+SnFlc36oen1/f3N0/IF0L3N/dXJ8fV7fWF2eSEb/qcti/hD2BaCq9Uijvn9Vun+oNxIJA /em2drZfLqykU9GApyMse7TY+NxqsXJwcfPYaD6/IF0LPDcbjzcXB5Xi6tx4TPPI7Rs2heP6fK60 c3J5V2++vn0gXQu8vTbrd5cnO6XcvB7/TXgori8Ym9XT2kPj+f3zH6Rrgc/358ZD7bS6aSzo8aGf GzaFM8bmbkv45aPrdXzQFPh4aQnvbhqZ34QVz5fwLwj/hRvpCP9qCyvtdxjCf0GWJiBMElwNYS5Z 2oUwSXA1hLlkaRfCJMHVEOaSpV0IkwRXQ5hLlnYhTBJcDWEuWdqFMElwNYS5ZGkXwiTB1RDmkqVd CJMEV0OYS5Z2IUwSXA1hLlnahTBJcDWEuWRpF8IkwdUQ5pKlXQiTBFdDmEuWdiFMElwNYS5Z2oUw SXA1hLlkaRfCJMHVEOaSpV0IkwRXQ5hLlnYhTBJcDWEuWdqFMElwNYS5ZGkXwiTB1RDmkqVdCJME V0OYS5Z2IUwSXA1hLlnahTBJcDWEuWRpF8IkwdUQ5pKlXQiTBFdDmEuWdiFMElwNYS5Z2oUwSXA1 hLlkaRfCJMHVEOaSpV0IkwRXQ5hLlnYhTBJcDWEuWdqFMElwNYS5ZGkXwiTB1RDmkqVdCJMEV0OY S5Z2IUwSXA1hLlnahTBJcDWEuWRpF8IkwdUQ5pKlXQiTBFdDmEuWdiFMElwNYS5Z2oUwSXA1hLlk aRfCJMHVEOaSpV0IkwRXQ5hLlnYhTBJcDWEuWdqFMElwNYS5ZGkXwiTB1RDmkqVdCJMEV0OYS5Z2 IUwSXA1hLlnahTBJcDWEuWRpF8IkwdUQ5pKlXQiTBFdDmEuWdiFMElwNYS5Z2oUwSXA1hLlkaRfC JMHVEOaSpd3/FJY9Q3E9Y2zuntYeGi8f9L/obgQ6wptGRo8PeWSHvafH7vgSXjA2qy3h5/fPbobx mbbA5/tz46F2Wt00Fv4Q1uL6fK60c3J5V2++vn0gXQu8vTbrd5cnO6XcvB7Xfm5Yi43PrRYrBxc3 j43m8wvStcBzs/F4c3FQKa7Ojce+hV2eQDSVXimU989qt0/1BmJBoP50WzvbLxdW0qlowONqv8Mu 1R9Jziyub1WPz69v7u4fkK4F7u9urs+Pq1vrizPJiF/9ErYJUp8/PDaZNYrbe0dnF1fXNaRrgeur i7Ojve2ikZ0cC/v7JMHW02MTRLcvmNBnl/KlcnX/8OQUsSBwcrhfLZfyS7N6Iuhzix1hpV+LJKcy K/niVrmyU91Fuhao7lTKW8X8SmYqGdH6lY6wU1b9oURqOrNkrBeKGyXEgsBGsbBuLGWmU4mQX5Wd 7Rt2SG6vNjyamprNLi6v5QzEgkBubXkxOzuVGh3WvG7J0RYWRFn1acOJpD45k56bX0AsCMzPpWcm 9WRiWPOpsih8CdsFp6SYxKFIYiyZGp/QEQsCE+Op5FgiEjKBFckp2M3fEuaPCUF0KarXrwXDI9FY HLEkEIuOhIOa36sqrvYJm8J2wbxi2a16fAODAQ2xKBAYHPB5VLdsXnD7hDvEoiQrvaYyYllAdfcq siT+APfYbHbzjB1OUZQkl4xYFHBJkig6HeYB222tV/grbWOhFQdiUeCL8U/fFrKNYkcsCpDk9/22 rxh/2QT+BY967pEKZW5kc3RyZWFtCmVuZG9iagozNSAwIG9iagoxNzEyCmVuZG9iago0MCAwIG9i ago8PCAvTGVuZ3RoIDQxIDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2UgL1dpZHRo IDMzNSAvSGVpZ2h0IDEyNSAvQ29sb3JTcGFjZQovRGV2aWNlR3JheSAvSW50ZXJwb2xhdGUgdHJ1 ZSAvQml0c1BlckNvbXBvbmVudCA4IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4Ae3Q MQEAAADCoP6pZwlPiEBhwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYM GDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBg wIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIAB AwYMGDBgwIABAwYMGDBgwIABAwYMGDBg4DowETX47AplbmRzdHJlYW0KZW5kb2JqCjQxIDAgb2Jq CjIwNgplbmRvYmoKMjggMCBvYmoKPDwgL1R5cGUgL0V4dEdTdGF0ZSAvU00gMC4wMiA+PgplbmRv YmoKMjkgMCBvYmoKPDwgL1R5cGUgL0V4dEdTdGF0ZSAvb3AgdHJ1ZSA+PgplbmRvYmoKMzAgMCBv YmoKPDwgL1R5cGUgL0V4dEdTdGF0ZSAvT1BNIDEgPj4KZW5kb2JqCjMxIDAgb2JqCjw8IC9UeXBl IC9Qcm9wZXJ0eUxpc3QgL1N0eWxlIDw8IC9UeXBlIC9TdHlsZSAvU3VidHlwZSAvU2hhZG93IC9P ZmZzZXQgWyA0LjI0MjY0Ci00LjI0MjY0IF0gL1JhZGl1cyAxMCAvQ29sb3JTcGFjZSAxNCAwIFIg L0NvbG9yIFsgMCAwIDAgMC43NSBdID4+ID4+CmVuZG9iago0MyAwIG9iago8PCAvTGVuZ3RoIDQ0 IDAgUiAvTiAzIC9BbHRlcm5hdGUgL0RldmljZVJHQiAvRmlsdGVyIC9GbGF0ZURlY29kZSA+Pgpz dHJlYW0KeAGdlndUU9kWh8+9N73QEiIgJfQaegkg0jtIFQRRiUmAUAKGhCZ2RAVGFBEpVmRUwAFH hyJjRRQLg4Ji1wnyEFDGwVFEReXdjGsJ7601896a/cdZ39nnt9fZZ+9917oAUPyCBMJ0WAGANKFY FO7rwVwSE8vE9wIYEAEOWAHA4WZmBEf4RALU/L09mZmoSMaz9u4ugGS72yy/UCZz1v9/kSI3QyQG AApF1TY8fiYX5QKUU7PFGTL/BMr0lSkyhjEyFqEJoqwi48SvbPan5iu7yZiXJuShGlnOGbw0noy7 UN6aJeGjjAShXJgl4GejfAdlvVRJmgDl9yjT0/icTAAwFJlfzOcmoWyJMkUUGe6J8gIACJTEObxy Dov5OWieAHimZ+SKBIlJYqYR15hp5ejIZvrxs1P5YjErlMNN4Yh4TM/0tAyOMBeAr2+WRQElWW2Z aJHtrRzt7VnW5mj5v9nfHn5T/T3IevtV8Sbsz55BjJ5Z32zsrC+9FgD2JFqbHbO+lVUAtG0GQOXh rE/vIADyBQC03pzzHoZsXpLE4gwnC4vs7GxzAZ9rLivoN/ufgm/Kv4Y595nL7vtWO6YXP4EjSRUz ZUXlpqemS0TMzAwOl89k/fcQ/+PAOWnNycMsnJ/AF/GF6FVR6JQJhIlou4U8gViQLmQKhH/V4X8Y NicHGX6daxRodV8AfYU5ULhJB8hvPQBDIwMkbj96An3rWxAxCsi+vGitka9zjzJ6/uf6Hwtcim7h TEEiU+b2DI9kciWiLBmj34RswQISkAd0oAo0gS4wAixgDRyAM3AD3iAAhIBIEAOWAy5IAmlABLJB PtgACkEx2AF2g2pwANSBetAEToI2cAZcBFfADXALDIBHQAqGwUswAd6BaQiC8BAVokGqkBakD5lC 1hAbWgh5Q0FQOBQDxUOJkBCSQPnQJqgYKoOqoUNQPfQjdBq6CF2D+qAH0CA0Bv0BfYQRmALTYQ3Y ALaA2bA7HAhHwsvgRHgVnAcXwNvhSrgWPg63whfhG/AALIVfwpMIQMgIA9FGWAgb8URCkFgkAREh a5EipAKpRZqQDqQbuY1IkXHkAwaHoWGYGBbGGeOHWYzhYlZh1mJKMNWYY5hWTBfmNmYQM4H5gqVi 1bGmWCesP3YJNhGbjS3EVmCPYFuwl7ED2GHsOxwOx8AZ4hxwfrgYXDJuNa4Etw/XjLuA68MN4Sbx eLwq3hTvgg/Bc/BifCG+Cn8cfx7fjx/GvyeQCVoEa4IPIZYgJGwkVBAaCOcI/YQRwjRRgahPdCKG EHnEXGIpsY7YQbxJHCZOkxRJhiQXUiQpmbSBVElqIl0mPSa9IZPJOmRHchhZQF5PriSfIF8lD5I/ UJQoJhRPShxFQtlOOUq5QHlAeUOlUg2obtRYqpi6nVpPvUR9Sn0vR5Mzl/OX48mtk6uRa5Xrl3sl T5TXl3eXXy6fJ18hf0r+pvy4AlHBQMFTgaOwVqFG4bTCPYVJRZqilWKIYppiiWKD4jXFUSW8koGS txJPqUDpsNIlpSEaQtOledK4tE20Otpl2jAdRzek+9OT6cX0H+i99AllJWVb5SjlHOUa5bPKUgbC MGD4M1IZpYyTjLuMj/M05rnP48/bNq9pXv+8KZX5Km4qfJUilWaVAZWPqkxVb9UU1Z2qbapP1DBq Jmphatlq+9Uuq43Pp893ns+dXzT/5PyH6rC6iXq4+mr1w+o96pMamhq+GhkaVRqXNMY1GZpumsma 5ZrnNMe0aFoLtQRa5VrntV4wlZnuzFRmJbOLOaGtru2nLdE+pN2rPa1jqLNYZ6NOs84TXZIuWzdB t1y3U3dCT0svWC9fr1HvoT5Rn62fpL9Hv1t/ysDQINpgi0GbwaihiqG/YZ5ho+FjI6qRq9Eqo1qj O8Y4Y7ZxivE+41smsImdSZJJjclNU9jU3lRgus+0zwxr5mgmNKs1u8eisNxZWaxG1qA5wzzIfKN5 m/krCz2LWIudFt0WXyztLFMt6ywfWSlZBVhttOqw+sPaxJprXWN9x4Zq42Ozzqbd5rWtqS3fdr/t fTuaXbDdFrtOu8/2DvYi+yb7MQc9h3iHvQ732HR2KLuEfdUR6+jhuM7xjOMHJ3snsdNJp9+dWc4p zg3OowsMF/AX1C0YctFx4bgccpEuZC6MX3hwodRV25XjWuv6zE3Xjed2xG3E3dg92f24+ysPSw+R R4vHlKeT5xrPC16Il69XkVevt5L3Yu9q76c+Oj6JPo0+E752vqt9L/hh/QL9dvrd89fw5/rX+08E OASsCegKpARGBFYHPgsyCRIFdQTDwQHBu4IfL9JfJFzUFgJC/EN2hTwJNQxdFfpzGC4sNKwm7Hm4 VXh+eHcELWJFREPEu0iPyNLIR4uNFksWd0bJR8VF1UdNRXtFl0VLl1gsWbPkRoxajCCmPRYfGxV7 JHZyqffS3UuH4+ziCuPuLjNclrPs2nK15anLz66QX8FZcSoeGx8d3xD/iRPCqeVMrvRfuXflBNeT u4f7kufGK+eN8V34ZfyRBJeEsoTRRJfEXYljSa5JFUnjAk9BteB1sl/ygeSplJCUoykzqdGpzWmE tPi000IlYYqwK10zPSe9L8M0ozBDuspp1e5VE6JA0ZFMKHNZZruYjv5M9UiMJJslg1kLs2qy3mdH ZZ/KUcwR5vTkmuRuyx3J88n7fjVmNXd1Z752/ob8wTXuaw6thdauXNu5Tnddwbrh9b7rj20gbUjZ 8MtGy41lG99uit7UUaBRsL5gaLPv5sZCuUJR4b0tzlsObMVsFWzt3WazrWrblyJe0fViy+KK4k8l 3JLr31l9V/ndzPaE7b2l9qX7d+B2CHfc3em681iZYlle2dCu4F2t5czyovK3u1fsvlZhW3FgD2mP ZI+0MqiyvUqvakfVp+qk6oEaj5rmvep7t+2d2sfb17/fbX/TAY0DxQc+HhQcvH/I91BrrUFtxWHc 4azDz+ui6rq/Z39ff0TtSPGRz0eFR6XHwo911TvU1zeoN5Q2wo2SxrHjccdv/eD1Q3sTq+lQM6O5 +AQ4ITnx4sf4H++eDDzZeYp9qukn/Z/2ttBailqh1tzWibakNml7THvf6YDTnR3OHS0/m/989Iz2 mZqzymdLz5HOFZybOZ93fvJCxoXxi4kXhzpXdD66tOTSna6wrt7LgZevXvG5cqnbvfv8VZerZ645 XTt9nX297Yb9jdYeu56WX+x+aem172296XCz/ZbjrY6+BX3n+l37L972un3ljv+dGwOLBvruLr57 /17cPel93v3RB6kPXj/Mejj9aP1j7OOiJwpPKp6qP6391fjXZqm99Oyg12DPs4hnj4a4Qy//lfmv T8MFz6nPK0a0RupHrUfPjPmM3Xqx9MXwy4yX0+OFvyn+tveV0auffnf7vWdiycTwa9HrmT9K3qi+ OfrW9m3nZOjk03dp76anit6rvj/2gf2h+2P0x5Hp7E/4T5WfjT93fAn88ngmbWbm3/eE8/sKZW5k c3RyZWFtCmVuZG9iago0NCAwIG9iagoyNjEyCmVuZG9iagoxNyAwIG9iagpbIC9JQ0NCYXNlZCA0 MyAwIFIgXQplbmRvYmoKNDUgMCBvYmoKPDwgL0xlbmd0aCA0NiAwIFIgL04gMSAvQWx0ZXJuYXRl IC9EZXZpY2VHcmF5IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4AYVST0gUURz+zTYS hIhBhXiIdwoJlSmsrKDadnVZlW1bldKiGGffuqOzM9Ob2TXFkwRdojx1D6JjdOzQoZuXosCsS9cg qSAIPHXo+83s6iiEb3k73/v9/X7fe0RtnabvOylBVHNDlSulp25OTYuDHylFHdROWKYV+OlicYyx 67mSv7vX1mfS2LLex7V2+/Y9tZVlYCHqLba3EPohkWYAH5mfKGWAs8Adlq/YPgE8WA6sGvAjogMP mrkw09GcdKWyLZFT5qIoKq9iO0mu+/m5xr6LtYmD/lyPZtaOvbPqqtFM1LT3RKG8D65EGc9fVPZs NRSnDeOcSEMaKfKu1d8rTMcRkSsQSgZSNWS5n2pOnXXgdRi7XbqT4/j2EKU+yWCoibXpspkdhX0A dirL7BDwBejxsmIP54F7Yf9bUcOTwCdhP2SHedatH/YXrlPge4Q9NeDOFK7F8dqKH14tAUP3VCNo jHNNxNPXOXOkiO8x1BmY90Y5pgsxd5aqEzeAO2EfWapmCrFd+67qJe57AnfT4zvRmzkLXKAcSXKx FdkU0DwJWBR9i7BJDjw+zh5V4HeomMAcuYnczSj3HtURG2ejUoFWeo1Xxk/jufHF+GVsGM+Afqx2 13t8/+njFXXXtj48+Y163DmuvZ0bVWFWcWUL3f/HMoSP2Sc5psHToVlYa9h25A+azEywDCjEfwU+ l/qSE1Xc1e7tuEUSzFA+LGwluktUbinU6j2DSqwcK9gAdnCSxCxaHLhTa7o5eHfYInpt+U1XsuuG /vr2evva8h5tyqgpKBPNs0RmlLFbo+TdeNv9ZpERnzg6vue9ilrJ/klFED+FOVoq8hRV9FZQ1sRv Zw5+G7Z+XD+l5/VB/TwJPa2f0a/ooxG+DHRJz8JzUR+jSfCwaSHiEqCKgzPUTlRjjQPiKfHytFtk kf0PQBn9ZgplbmRzdHJlYW0KZW5kb2JqCjQ2IDAgb2JqCjcwNAplbmRvYmoKNyAwIG9iagpbIC9J Q0NCYXNlZCA0NSAwIFIgXQplbmRvYmoKNDcgMCBvYmoKPDwgL0xlbmd0aCA0OCAwIFIgL04gMyAv QWx0ZXJuYXRlIC9EZXZpY2VSR0IgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBrVh5 OFTf/z8zc2cY29jDWDMhBpOQpezZsxOyjX0ZS2NfUtaQSsoWFSJbJdQnSZI2hEIoRLaStMgS2b53 qM/n+X1/z/f5/vM9z3PvfZ3XeS/nnvd9zvu8LwBs/OSgIAoSAOAfEEK10NMStrWzF6Z7CyDAA1iB JOAiuwUHaZqZGcMi/6Et9QMEbahXmmar0JedrtddBeNeRg3stlYT/A9Kf2gWKuwQAAQRJji9trEG DbtuYysaDg8JCoFlvGnYzZvsDuMYGBOpVhbaMC6HMYvXNq6nYddt3ErDYW5eNN03AGDYA9x9AgCg m4WxmrtHsBs8TPPr7h7s5g/jDACQav7+gbB91lcwL+EWRIV1WZdhTKCtC/yEmwcfAMqXYDuZ/3D+ pwGogW0RvvzDEWQB4DIH4FrpP9y8xdZaIbhfBnvuldsyh2DSAgA9srk5L0azCcD6uc3N1eLNzfWr AKCGAWimuIVSw7Zk4RdBdALw3/rb7/xbAwUHhxZgAeABehDmiElkPsofskOTMQl09ViIwZ3xDbMj yyJrFrsBJ5ara0cRbxTeVkBLSEKEbecGYVqsV6JeMp8YLqNP4tzTvzdFQV6xU8lWuU9Vf3+NGoc6 VeOlFlE7TWdG11CvRH/d0Myo2Pi7iZppilmPBb8lxarNRvbwFTusfcCRZ448Tp7O1S7Lrupuie6t nixett7XfSE/B0qZ/2QgX9ChownUxuCFUGKYW/jFiMEosejkY1Bs6vGNONf4yoSJJHyyxclTKY2p Q2mTp/rS756+cOb42aiMmHOxmdHngy64Ztlkm+aY5Jrn2V4k5/sXRF1Kupx+5UzhqaL4YupVhxKd Uplr+DLmcmT5r4r5yu9V89dXb6KrmW/hahhqQe2PuvHbL+/c+6vwbmp98D3nBsP7exu5Gr8+eNB0 8qF1s9Qj+kezLb2PG55cfhr7zPG5aitP63Lb2/Z7Ly50+HTu60J2vXiZ+8q7W6WHpWes99brqD6t fvr+lwN5bzzfyg8iBtuGkob3D397VzRiN8o9OvA+b+zIOH787UT2pOUU+1TPh8yPptOY6bJPUp8K ZhhmwmbGPgfNQrPFXzS+jH498U3k25PvnnPYuaofh358nY9boF/wWni+KLDot9iwxLYUtzT30/Pn 8LLZ8tMVlZWbvwi/Lq6yrZ5dw63lrRPW72zobbzdpGxuwvHnB66gHaGH6EfGoXQhAloEo0DnTF+A /cRoxNTCoo3rZqNy7OBs507g0eFjxQ8LXBeKFrEQJRDmxR5IJErqE4F0jawdaV7uhDxaIUxxSGmf copKz37eA85qJeqfNPdoRWg/OIjU1dNL1n9miDBSNQ49VGUyYSZobm9xyfK99U4b98NXbUft+Y5Y OqQ5PnJadJEku7jmuL3ywHpqeB31vuLT4btCEfO3CDgWWB7UfXQtWCqEHFoUNhkhGmkflRp9O+Zd LP3xvScc4xLjixPuJbYl9SYPnnyfMpX6Me3jqcn00dODZwbO9mX0nxvKnDw/lwWyGXPYclnzGC6C i9/zRwraLt2+XHwlszCxKKzY9yq5xLHU8ZpzGbncqcKm0qhK7brMDYGbDDeXqsdvddXcry2vy76d dCf8L8pdcr31Pb0GxfuijSyNKw/Gm9oeVjdfeBTZ4vRY5wnxKdcz8Gz2+ZvW5rai9tgXth17OrGd Y10NL8+/8uvW7uHr+d779HVOn1e/wgAYaH9z4a3LoPTg6lDbcPY71xHpkeXRlvfpY7bjouNfJ+5O xkztn/r5ofKjwzTzdPMn6ozoTN/nk7PKs1++FH21/sbwren70TnCXN+P4/OE+eYFq4XJReoSWMr4 KfKzZllruWfFdeXHr7hV3GrB2q61Mjj2WRuYDcpGz+a+zfyt+HMCHXAGfEU4It4hqSg8qg8qQh/D +NF50vtjExnKGLuZ6Vh0cKmsPeyiHNGcfdykHWd5ZvkM8aUCSEEboQrh5Z1qojGEul3j4hgJkd0k SSUpZaK8tKyMmOxOkvCenXJie2XllRQ0FHX3GSoZKRupGKnq7dc5oK6mrC6vQdKU1tqtTdAROsij i9PD6K3qfzUYMWw3qjXOPRRr4mvqYuZo7mDhZOlo5WBtZ2Nz2MzWwE7TXuGIhIOAI5cTmzPOBUdm dsW6IdwW3Uc9HnpmeXl56/iQfCX9iJS9/qoBWoH68P5hQbUJdgyhhCaHVYR3RExEfop6H90RU3ss OzbiuP0J1Th83Gr8UEJDYl5SRLLNScUU7pRleDd5eKo4Pfm09xmDs1IZTBmz5zoyq86nXiBnkbIW s2tzfHOlc1fz+i/ezy8pOH0p/DL5imGhXBFfMaL449X2korS2GsmZYJl8+UvK+5UFladuR5zw+em dbXmLekanlpU7Ze6gdsP75T+lXLXp9743t4GoftsjZjGtQc/mqYfDje/evSk5e7jKnhXyXh24rl/ q3WbajvhBUcHUydLF9dLoVeS3fI9+3t1Xhv1mfcfHnB4Q37rMegz5Dcc8C50JH40733D2OQE+6Tm VNCHyx87p1dnJD5bzyZ+uf8NfPefW5lvXqz8Wb3SvPp6fYYW/+3cR8sJGEUAcrEAHO4DwOwJAGl+ AIibwrnKBe4zA2ClDJBjegCZlwen1kXwJ3/ggSqwA+EgC9SCV/B3xISQRBggvBDJiFLEEzirQEgC UgfpgTyJLEe2I2dROJQcygYVhbqMeoz6BOEgRcgRSoJuQANoBFoKfRidgL6FHsEwYw5gAjFFmD46 BjoNuki6Orqv9ER6Cn01/QJ2PzYZ28MgwkBleMLIw+jP+JiJj4nK1M5MYD7BPMJygOUKDonzwnWx KrIWsjGxRbB9YLdkb+IQ58jg+MlJ5uzgUuG6zi3CnbeDA/6SmXnSeZl5M/g4+S7ihfAl/OL8FQJE gVuCKoLtQs5Cy8KZIkSRZzvJOzdECwj7Ce92xYjxiFWLa4i3SphJ9O8m756XPCUlKzVETJNWkf4s c0nWksRBGt/TKvd8b5d8q0KdYt6+eCWqsp+Kj6rnfucDVmp66koauzV5tRi0NrVXdH7pIvXY9YkG ZobhRpeMmw4NmSybcZmTLHQtba28rCNtMg/fsR2z5zhi5JDq2Om8w4VMrnSdd1f3yPJc847xxfql UzYDPAPbjspS80NwoanhmIiEyI3oY8cwscUnzOKhhLok+5MgpSLNIV3w9Oez987FndfOossezu25 OFWwenm9cK54omT42vvymcqF66vVUI1g3bm7/A2DDwqb97V0PD3y/FN7ZCfu5c2eCwO44fPvwycV pxGf+75dnVddSl2pWxv4nT8OAEdwDBSA+2AQrCB4EcoIO0QkIg/RgBhCrCMFkRpIN2QysgLZiZxD caNUUS6oZNQN1GvUGrQLMoHCoWKoE1pBi6Gt4NjXoScwXBgDzDFMHWaGTpTOiS6fbpAeT+9EX0r/ DauKTcMOM+xhSGEYY1RlzGFcYLJgqmFmYw5m7mdRZSnCMeBCcO9ZTVkfspHYSth52c9yoDliOH5w +nCOcR3h6ue25O7dYbVjgMeBZ4LXj3eJLx6Pw1/iJ/LfFzASeCd4VAgrVCKsITwiErtTcOcjUQ8C I7yvOYihxW6IW4gvSGTvVt49JnlaSl1qgXhd2l2GX2ZA9jzJcg/vnim5+r2Z8kEK5ory+/BKaKVF 5WmVEdXX+18ceKR2R71MI0czSStMO0DH/2CIbrxerv5tg37DX8YCh9RNXEwTzErNn1qMWf6yZofP RJa2sXbV9lMOQo5OToXOU2Sia7DbfQ+0p4lXlvegr4gfhfIggDMwMKiLuic4LxQdFhr+IdIuqiNG 7Vj1ccET5+IZE84niSU3pzingVPFp3XPzGbkZOqfX8+6lxObdyifULB2ubuwtDi6xObavnKBSkzV 9xtD1a01TXVP7kzUCza4NZY3zT1Sf3zm6XDr7vbIjq6XEt3pr9n6u9++Gn43OjE+O7X2iWNW7pvn j5GlkVWnrfhLAEs4+mWgG6widiHMENGIa4gexCaSiLRHpiDrkdMoXpQh6hjqFmoK4oPMoVSoBVpH K6PD0H+hf2JUMMcxz+nY6ZzpbtFD9I70DVgBbCL2OwOZ4TWjEWMLkwpTLbMUcwmLEEsBjh93hXUX 6002ZbZWdjv2LxwJnHjO21ymXLPc6TtkdvTyxPCK8/bxncSr4Vf5mwQSBHWFUEKNwqEiMiKfd1aK UggkwvKux2LnxN0lVHaz7p6SrJc6RXSRVpLhlFmUHSH17xmV+7H3l/x3hUHFh/uuKqUqH1U5Ap9m 9x2QUONRR6pPabRoXtFK1A7TiT54TrdOb9AAY6hg5GVccKjXlMXM2DzdosuKzdrKJufwkJ2Ivc+R O46Qk7VzJRnp6uj2wEPcs9L7kM+mX44/LiA0sO+oIjUveCPUM6w7Qj3yVrRETFWs5vGpuJQEfOKl 5B0nz6Zi05LTMadTzjJnZGUKnb+RpZbdnxt2EZ/feMn68mRhQNHy1YRS1mtF5fIV7VWu8Jk155Zi zVBd2h3tvzbraxqs7n98ENy02pzQwvw4/6nUs6ZWy7bPL5I6RboevnLuQfVW9Jn2f30TP4gdSh5e HaGMvhszHX88qTR186PYdOEM/nP2F5avsd/ezxF+WM2HLIQvhiy5/jRellnBrXz59WK1fC153W1D a1OYFv/teomWPwCDdiAlkCpsrK2z1f3f3fwpoXBNttXY4TtTgKsJnJcADU8HhZjRakFu+PoVHGZ5 EH6ywuUQq6ePrsFvLOxO1jGCMT/Mk6K8tU1gzARjY0+qrgWMYTsIW1+yoRmMWWDs6xFgbfmbjwii bNW4NJm0oBAtmjwPjAs8gg/+kbkd5W11+LfuM2qohTWMCbDMa79AI5o8zdeyu4fO77khoQCKiTHM w3NGcvqEGNDmzwljSaALyIAKvOCKTBoYA234ZLZ9F4Z5YbgfCI96gGBYbnJL7o+UzVbf59+0pIHn lr2wLR0/8AHW8Xf2iafCtrbttgE3mCODgD8MqYr0ibT2p7flkbLl9Y+GEdz7v8yfGdJmtz3iA9xh /Id3+8PTPPvXeoblBkaq2HhDYpAcpABpQQcgNUgZCEPcEB+QhuQhJUgTUodU4THlrtm7s3/PZXtt XP9+RyPYmwcI3VqRgL/Z/+cV+MD/MLZqd3iVAQb+Ngou0lCLPlza/1sL8YiA63oAtAODIqk+Xt4h wprwnwsPorBBgJsMUViORFIG/wKXR18RCmVuZHN0cmVhbQplbmRvYmoKNDggMCBvYmoKMzkwNQpl bmRvYmoKMzkgMCBvYmoKWyAvSUNDQmFzZWQgNDcgMCBSIF0KZW5kb2JqCjQ5IDAgb2JqCjw8IC9M ZW5ndGggNTAgMCBSIC9OIDMgL0FsdGVybmF0ZSAvRGV2aWNlUkdCIC9GaWx0ZXIgL0ZsYXRlRGVj b2RlID4+CnN0cmVhbQp4AYVUz2sTQRT+Nm6p0CIIWmsOsniQIklZq2hF1Db9EWJrDNsftkWQZDNJ 1m426+4mtaWI5OLRKt5F7aEH/4AeevBkL0qFWkUo3qsoYqEXLfHNbky2perAzn7z3jfvfW923wAN ctI09YAE5A3HUqIRaWx8Qmr8iACOoglBNCVV2+xOJAZBg3P5e+fYeg+BW1bDe/t3snetmtK2mgeE /UDgR5rZKrDvF3EKWRICiDzfoSnHdAjf49jy7I85Tnl4wbUPKz3EWSJ8QDUtzn9NuFPNJdNAg0g4 lPVxUj6c14uU1x0HaW5mxsgQvU+QprvM7qtioZxO9g6QvZ30fk6z3j7CIcILGa0/RriNnvWM1T/i YeGk5sSGPRwYNfT4YBW3Gqn4NcIUXxBNJ6JUcdkuDfGYrv1W8kqCcJA4ymRhgHNaSE/XTG74uocF fSbXE6/id1ZR4XmPE2fe1N3vRdoCrzAOHQwaDJoNSFAQRQRhmLBQQIY8GjE0snI/I6sGG5N7MnUk art0YkSxQXs23D23UaTdPP4oInGUQ7UIkvxB/iqvyU/lefnLXLDYVveUrZuauvLgO8XlmbkaHtfT yONzTV58ldR2k1dHlqx5erya7Bo/7FeXMeaCNY/Ec7D78S1flcyXKYwUxeNV8+pLhHVaMTffn2x/ Oz3iLs8utdZzrYmLN1abl2f9akj77qq8k+ZV+U9e9fH8Z83EY+IpMSZ2iuchiZfFLvGS2EurC+Jg bccInZWGKdJtkfok1WBgmrz1L10/W3i9Rn8M9VGUGczSVIn3f8IqZDSduQ5v+o/bx/wX5PeK558o Ai9s4MiZum1Tce8QoWWlbnOuAhe/0X3wtm5ro344/ARYPKsWrVI1nyC8ARx2h3oe6CmY05aWzTlS hyyfk7rpymJSzFDbQ1JS1yXXZUsWs5lVYul22JnTHW4coTlC98SnSmWT+q/xEbD9sFL5+axS2X5O GtaBl/pvwLz9RQplbmRzdHJlYW0KZW5kb2JqCjUwIDAgb2JqCjczNwplbmRvYmoKMTQgMCBvYmoK WyAvSUNDQmFzZWQgNDkgMCBSIF0KZW5kb2JqCjE2IDAgb2JqClsgL1NlcGFyYXRpb24gL0JsYWNr IC9EZXZpY2VDTVlLIDUxIDAgUiBdCmVuZG9iago1MiAwIG9iago8PCAvTGVuZ3RoIDUzIDAgUiAv TiAzIC9BbHRlcm5hdGUgL0RldmljZVJHQiAvRmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0K eAGdlndUU9kWh8+9N73QEiIgJfQaegkg0jtIFQRRiUmAUAKGhCZ2RAVGFBEpVmRUwAFHhyJjRRQL g4Ji1wnyEFDGwVFEReXdjGsJ7601896a/cdZ39nnt9fZZ+9917oAUPyCBMJ0WAGANKFYFO7rwVwS E8vE9wIYEAEOWAHA4WZmBEf4RALU/L09mZmoSMaz9u4ugGS72yy/UCZz1v9/kSI3QyQGAApF1TY8 fiYX5QKUU7PFGTL/BMr0lSkyhjEyFqEJoqwi48SvbPan5iu7yZiXJuShGlnOGbw0noy7UN6aJeGj jAShXJgl4GejfAdlvVRJmgDl9yjT0/icTAAwFJlfzOcmoWyJMkUUGe6J8gIACJTEObxyDov5OWie AHimZ+SKBIlJYqYR15hp5ejIZvrxs1P5YjErlMNN4Yh4TM/0tAyOMBeAr2+WRQElWW2ZaJHtrRzt 7VnW5mj5v9nfHn5T/T3IevtV8Sbsz55BjJ5Z32zsrC+9FgD2JFqbHbO+lVUAtG0GQOXhrE/vIADy BQC03pzzHoZsXpLE4gwnC4vs7GxzAZ9rLivoN/ufgm/Kv4Y595nL7vtWO6YXP4EjSRUzZUXlpqem S0TMzAwOl89k/fcQ/+PAOWnNycMsnJ/AF/GF6FVR6JQJhIlou4U8gViQLmQKhH/V4X8YNicHGX6d axRodV8AfYU5ULhJB8hvPQBDIwMkbj96An3rWxAxCsi+vGitka9zjzJ6/uf6Hwtcim7hTEEiU+b2 DI9kciWiLBmj34RswQISkAd0oAo0gS4wAixgDRyAM3AD3iAAhIBIEAOWAy5IAmlABLJBPtgACkEx 2AF2g2pwANSBetAEToI2cAZcBFfADXALDIBHQAqGwUswAd6BaQiC8BAVokGqkBakD5lC1hAbWgh5 Q0FQOBQDxUOJkBCSQPnQJqgYKoOqoUNQPfQjdBq6CF2D+qAH0CA0Bv0BfYQRmALTYQ3YALaA2bA7 HAhHwsvgRHgVnAcXwNvhSrgWPg63whfhG/AALIVfwpMIQMgIA9FGWAgb8URCkFgkAREha5EipAKp RZqQDqQbuY1IkXHkAwaHoWGYGBbGGeOHWYzhYlZh1mJKMNWYY5hWTBfmNmYQM4H5gqVi1bGmWCes P3YJNhGbjS3EVmCPYFuwl7ED2GHsOxwOx8AZ4hxwfrgYXDJuNa4Etw/XjLuA68MN4SbxeLwq3hTv gg/Bc/BifCG+Cn8cfx7fjx/GvyeQCVoEa4IPIZYgJGwkVBAaCOcI/YQRwjRRgahPdCKGEHnEXGIp sY7YQbxJHCZOkxRJhiQXUiQpmbSBVElqIl0mPSa9IZPJOmRHchhZQF5PriSfIF8lD5I/UJQoJhRP ShxFQtlOOUq5QHlAeUOlUg2obtRYqpi6nVpPvUR9Sn0vR5Mzl/OX48mtk6uRa5Xrl3slT5TXl3eX Xy6fJ18hf0r+pvy4AlHBQMFTgaOwVqFG4bTCPYVJRZqilWKIYppiiWKD4jXFUSW8koGStxJPqUDp sNIlpSEaQtOledK4tE20Otpl2jAdRzek+9OT6cX0H+i99AllJWVb5SjlHOUa5bPKUgbCMGD4M1IZ pYyTjLuMj/M05rnP48/bNq9pXv+8KZX5Km4qfJUilWaVAZWPqkxVb9UU1Z2qbapP1DBqJmphatlq +9Uuq43Pp893ns+dXzT/5PyH6rC6iXq4+mr1w+o96pMamhq+GhkaVRqXNMY1GZpumsma5ZrnNMe0 aFoLtQRa5VrntV4wlZnuzFRmJbOLOaGtru2nLdE+pN2rPa1jqLNYZ6NOs84TXZIuWzdBt1y3U3dC T0svWC9fr1HvoT5Rn62fpL9Hv1t/ysDQINpgi0GbwaihiqG/YZ5ho+FjI6qRq9Eqo1qjO8Y4Y7Zx ivE+41smsImdSZJJjclNU9jU3lRgus+0zwxr5mgmNKs1u8eisNxZWaxG1qA5wzzIfKN5m/krCz2L WIudFt0WXyztLFMt6ywfWSlZBVhttOqw+sPaxJprXWN9x4Zq42Ozzqbd5rWtqS3fdr/tfTuaXbDd FrtOu8/2DvYi+yb7MQc9h3iHvQ732HR2KLuEfdUR6+jhuM7xjOMHJ3snsdNJp9+dWc4pzg3OowsM F/AX1C0YctFx4bgccpEuZC6MX3hwodRV25XjWuv6zE3Xjed2xG3E3dg92f24+ysPSw+RR4vHlKeT 5xrPC16Il69XkVevt5L3Yu9q76c+Oj6JPo0+E752vqt9L/hh/QL9dvrd89fw5/rX+08EOASsCegK pARGBFYHPgsyCRIFdQTDwQHBu4IfL9JfJFzUFgJC/EN2hTwJNQxdFfpzGC4sNKwm7Hm4VXh+eHcE LWJFREPEu0iPyNLIR4uNFksWd0bJR8VF1UdNRXtFl0VLl1gsWbPkRoxajCCmPRYfGxV7JHZyqffS 3UuH4+ziCuPuLjNclrPs2nK15anLz66QX8FZcSoeGx8d3xD/iRPCqeVMrvRfuXflBNeTu4f7kufG K+eN8V34ZfyRBJeEsoTRRJfEXYljSa5JFUnjAk9BteB1sl/ygeSplJCUoykzqdGpzWmEtPi000Il YYqwK10zPSe9L8M0ozBDuspp1e5VE6JA0ZFMKHNZZruYjv5M9UiMJJslg1kLs2qy3mdHZZ/KUcwR 5vTkmuRuyx3J88n7fjVmNXd1Z752/ob8wTXuaw6thdauXNu5Tnddwbrh9b7rj20gbUjZ8MtGy41l G99uit7UUaBRsL5gaLPv5sZCuUJR4b0tzlsObMVsFWzt3WazrWrblyJe0fViy+KK4k8l3JLr31l9 V/ndzPaE7b2l9qX7d+B2CHfc3em681iZYlle2dCu4F2t5czyovK3u1fsvlZhW3FgD2mPZI+0Mqiy vUqvakfVp+qk6oEaj5rmvep7t+2d2sfb17/fbX/TAY0DxQc+HhQcvH/I91BrrUFtxWHc4azDz+ui 6rq/Z39ff0TtSPGRz0eFR6XHwo911TvU1zeoN5Q2wo2SxrHjccdv/eD1Q3sTq+lQM6O5+AQ4ITnx 4sf4H++eDDzZeYp9qukn/Z/2ttBailqh1tzWibakNml7THvf6YDTnR3OHS0/m/989Iz2mZqzymdL z5HOFZybOZ93fvJCxoXxi4kXhzpXdD66tOTSna6wrt7LgZevXvG5cqnbvfv8VZerZ645XTt9nX29 7Yb9jdYeu56WX+x+aem172296XCz/ZbjrY6+BX3n+l37L972un3ljv+dGwOLBvruLr57/17cPel9 3v3RB6kPXj/Mejj9aP1j7OOiJwpPKp6qP6391fjXZqm99Oyg12DPs4hnj4a4Qy//lfmvT8MFz6nP K0a0RupHrUfPjPmM3Xqx9MXwy4yX0+OFvyn+tveV0auffnf7vWdiycTwa9HrmT9K3qi+OfrW9m3n ZOjk03dp76anit6rvj/2gf2h+2P0x5Hp7E/4T5WfjT93fAn88ngmbWbm3/eE8/sKZW5kc3RyZWFt CmVuZG9iago1MyAwIG9iagoyNjEyCmVuZG9iagozNiAwIG9iagpbIC9JQ0NCYXNlZCA1MiAwIFIg XQplbmRvYmoKNTQgMCBvYmoKPDwgL0xlbmd0aCA1NSAwIFIgL04gMyAvQWx0ZXJuYXRlIC9EZXZp Y2VSR0IgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBhVTPaxNBFP42bqnQIghaaw6y eJAiSVmraEXUNv0RYmsM2x+2RZBkM0nWbjbr7ia1pYjk4tEq3kXtoQf/gB568GQvSoVaRSjeqyhi oRct8c1uTLal6sDOfvPeN+99b3bfAA1y0jT1gATkDcdSohFpbHxCavyIAI6iCUE0JVXb7E4kBkGD c/l759h6D4FbVsN7+3eyd62a0raaB4T9QOBHmtkqsO8XcQpZEgKIPN+hKcd0CN/j2PLsjzlOeXjB tQ8rPcRZInxANS3Of024U80l00CDSDiU9XFSPpzXi5TXHQdpbmbGyBC9T5Cmu8zuq2KhnE72DpC9 nfR+TrPePsIhwgsZrT9GuI2e9YzVP+Jh4aTmxIY9HBg19PhgFbcaqfg1whRfEE0nolRx2S4N8Ziu /VbySoJwkDjKZGGAc1pIT9dMbvi6hwV9JtcTr+J3VlHheY8TZ97U3e9F2gKvMA4dDBoMmg1IUBBF BGGYsFBAhjwaMTSycj8jqwYbk3sydSRqu3RiRLFBezbcPbdRpN08/igicZRDtQiS/EH+Kq/JT+V5 +ctcsNhW95Stm5q68uA7xeWZuRoe19PI43NNXnyV1HaTV0eWrHl6vJrsGj/sV5cx5oI1j8RzsPvx LV+VzJcpjBTF41Xz6kuEdVoxN9+fbH87PeIuzy611nOtiYs3VpuXZ/1qSPvuqryT5lX5T1718fxn zcRj4ikxJnaK5yGJl8Uu8ZLYS6sL4mBtxwidlYYp0m2R+iTVYGCavPUvXT9beL1Gfwz1UZQZzNJU ifd/wipkNJ25Dm/6j9vH/Bfk94rnnygCL2zgyJm6bVNx7xChZaVuc64CF7/RffC2bmujfjj8BFg8 qxatUjWfILwBHHaHeh7oKZjTlpbNOVKHLJ+TuunKYlLMUNtDUlLXJddlSxazmVVi6XbYmdMdbhyh OUL3xKdKZZP6r/ERsP2wUvn5rFLZfk4a1oGX+m/AvP1FCmVuZHN0cmVhbQplbmRvYmoKNTUgMCBv YmoKNzM3CmVuZG9iago0MiAwIG9iagpbIC9JQ0NCYXNlZCA1NCAwIFIgXQplbmRvYmoKNTcgMCBv YmoKPDwgL0xlbmd0aCA1OCAwIFIgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBpZzZ cttIlobv8RSYOyrCZBELt0tX2d3jmZjqWtTRF9N9YdNUyW2LlmWyln6EeYR5OD/LfOdk/gcgAVmy Jyq6CQOJzLP8Z82EPpQ/lh/KOf8tNoty3dbl3a78W7kvv/nuY1VuP5ZV+XF7/vxq5EbBsA+Mtqmm 9mNzbW/Kby/LTbq5Kdv1rFqvN+tyXdXl5U35zZ+q2Zx3Lq/KyX9elJf/LJ9flj8W90yzmtVpIrtY tLP5Zr5uR6b673Ly/UU5Z9Dkr5flRfGP8vI/fOIH6VtVs2qxqZDDkL6fjL7C6LtvmhP6VssZAq3G WIW+5y++vyicwufMu97M1uXk8qJ8PKWbzYkkC5NklSX5byHJ+ygNhSzm7axaLqsThgtXCFT+6aKc JjGWWZ7f7u7e6eYbXez7hJt0FvPZerPZLMu24X+btmzaTSFY/bC72+5uD8eX78q7NwxuGeeYaRYV /8hvrtZLA883L24W5bP3yPwMpTFdRuncUNrDTZCwWi8yCithsyrrpkTJAmDw+wJOpsu1AQeGp3Vt V/V83jy5KJftbJVuLxazppwcrncobrbxe/BbTp6+uyiSuH65KKt5OXmfhXYXkjpc38T11l7PU5o2 y8m38ex9Bkfc2F9dlA6SmPPmZZ79EIO2H23QIlHJlEwOJSiwmNxdlHVrxOr94y0cjsLt85JblE1d SHAJbwDFSEAs8GASxDRZqbt3GLkH9TZuWUy6pwg0v/uaK3xFEu60XblKuoHXMdBeadK4Yrqom1lb Tn4+eZqI+RD3nsaVkVpVkteiWpjAbvNjF9m0SVp0SsvJP+2Zc9lRihYzzUbeahE0Lyqj5ZTNbrF6 YYi5h6O2ES4WK0RqVpiWRYvTpp2ti0lHQCfm3ddqFOMcaPSv+4DVr2AHOezugJd7g3hy+B9h0Ahb zZYGvWJazVfG3bivmF2UK7crs7CqyiMH8LY1E5tLmWPVbOxSVOwOHfL34Lw2q/RJ25Up9WiqrDOE qmo5a4vJdZDOLC368fG4X+ZNplKOmYpRatpMs7tak/M+cOerjGi5HHof9yjwmNnYrGzJ46P08Ae+ ZD6rigmOCj0gfAhzuyCqus4Au/uPo2Guct9g3DRrW+SnXchlvzOQmex9YPZPrQWXybVcjpnnUvJu TdivdjszJ8Zl34m8Ef1vOEKWLcLt3L3tVkLg06XYxRAhZACDx8i3SElGz70Tv5uQbzgphOQ4FheG 56rJwppWLQG7MIN1ecF9HSpv3ON/t4vQt7szw17OpSsQDfV/5p6/vNvLgffcPash1wyiqjYTRzzp hWuTuhOH2jDwPGq5slEEmmLpCjCNVRvX660ITerCl4Rgt3EVgw47VOak3ZcOPeT1q/l8KNGXOUyZ GfjsIaCgTlZlzsmHxA1klO7c5Ged8GXi+t3dvGJmD21/aJ5bk9hJSDP3nMS/PXzMlOFtvsI+LT2o VsFv5AdP0c48eTmwnrzcdrc/GBrEP++6n2jnc8NEqKBvVhshq0HDKFuSAP7TbHHNCnv2LCOEcFF6 hDIQNOt6tikmD8mgrLsYOvfQFIgTxczeNEWi2HIWnBALPFZm89l8RYp3uUVeKYnjd4FVtcOI8pqY RdI1UTh59/72BtmxvocNBFpz8d5cQLaSds3Fu5d3v2AAC3milkEf318dfnvZmczJC7cvt29f/rKD sRXyfwwzYw6kIhkdBMWtFLU/SH5ha/LTxcSC0XS5lBVTSkRSQH4A+XpXmtVvH+ZMgQuVZnBASE7v 7c3/NpFMtLVDJZ7qIkwmzV94RuYw5QbpSZboYt6Y0+699XASK/N6jHSH2TcAWa5DumFdclGOEwN/ IAV2nW6J/9bc2RQWFGw2c+Pm1UXhMQ5HP13kbAQxrkkzHdiE/JU8dk3QR6Qv7k2sCYChW0usp6gx 4Ym6wN/9yTCWHI6EFz5paykqRsrCnhEtNk7DTgNvCNiR5TVkgwRLPXtUUjGKWarhAWbPo5YTjFsk 80q5EXG8sNoly/hwLSkf5aqNl3qZeEEOi8aUI96P223IQbC4OsZ0T3jXo5i5LcJk8mm4bk+A7WaN Z0ITO0N1SBPAk65lAIggk26YVT0nXpeTbawUsrUKNWJF9mTFSdH+ULCr5yPGL4aRT2GeMuc2UG5g 7Oy9sso/B3D8rxieepJpDFeVl5KZ8C7qbd8C0E7MBADwJt4tNFCPauJ5ZUAGMSYoLCVhp2fiIRah yiJoDo8Us7W8U7X2FQPqN7dB187cs17vjEEU7REIjQMPHdnGYpZ93zH02zkPSp6GyQDCkvzuw3G3 3xIMmhAEyW7PcvaiFh4SAvRqUKYbTwgPnjFDKWkEwhy4HUtoic8pnpOAEagH+SkamyelFFOPTBnD IbdAtUgDxFSayM1Qg0bT9FijASUNKsK43opcDLaRvyDthJTvZS2R2sVFJ/wvhH3T9UQiaxbdX9zc sLJY/jlVWBE+b26VH++BGDymTosZR710QHfG1UV5Il6er165BalqwVV7Am3No4THmiQZwUp6oX1H d0IGiyos11gdoyNpf5QDzmENk5rPNzQzz1KgejHSJnmJQ5siZDNc/zXCLP0xm7Nf3X+Vn+s+mKcF UFp5t8gstmuAjy36PAhpml3DoiYSmsfur2PPrbwwzLVUOSbplg6bF3k2kInqbMuLRcoGfAJrb9hz /Vrfwf6NZPNv0aQwQsRlATHktpMnbO2BVZP2oijTwD5lDZRNbRyEWfFu4yUR55B/ax5ifMs/EQjt Blf6gznrWMisl5uhv7kJF6cL04PHpowkQ1y+RDZI0x8KbnqLJFXvyYpgw8s8vUIGX5xWMYqCRyti 0rwY/4PMJTgWvTScQqRGxQNvemmNS/wm0nMYpH5BcKP1Cad0ciJONGvrbo85QNNSmsir5J93H56a 9pNN2YOGhIFiZSALw1AVBUqz9hL3cC1RmabJbDPcm5UXTdYjKXCAORNruczm01cPqWCUZA6wlBZC zINyHANJMx/pJiQLMCkmSBuhKB5u7d4xXdH5kAmb6dFDFuELHE6ycnvRYs9aCdaicXeUTK4/bTEh bbQFeCPZh10Zg0SUNEt+2pGUDNaemlLSu6RpmUxZofml1P9kPKkMMjXNLUidodNzD2517LEmhbAb Po6JTi0+J1mmrXSyOilQ5nkBJHAJn4KOjrYkpML8kztuXzwpv1v06jH6G9qBdaxHehcyLiUVjJJJ 1A0UC4bkFKnXB40P5xTTyP02C7OXMCuTDlGLfrfxVpmTFgXX8hdd1mxggf0c7ipMg8tXJi/rYybl VGtWoEUqQjUdnnETkS211Q6sUIUp1Vg1ejjqBZvWGn5P8E15akpCCNTMkcM8UgEFW359R7Rs+7st kVmEmxUhJiMSxMwfGRdeQ7IxDJJqZQJTISH6DD3+iAuyJBDrMm7dKP4+SU9p/jI+p8uhFq/VyRty DCMvZgVzMpakAeWkrJTFy3eTFr/OmBB1JssoqNCuTyhPKjItu6PfmN1lRQXE5a/4f+KXJgpWjjdR VT1S6my0nrh/pN6cb7LmrRoXluXofqEyz7qW6Q5dy7yTZZWvpO6/neT0etfiDJz8/UIaSYMKsKvh u6tPXYOS7A+Oo1g7XSFKEfyjlSI5vy0mj4+HJzBc12wvnsbDAoGcbfq5rvOeH2DMnhBbS1f8/9Pg U4hIGva03cxWCZF7gGf/myXY7QIm0Glq9pxBvOQcJYC5dUOGs23Qz2gEwQDcIWq7VznHImsGuGP9 wKzI3faA2JKZoIp6laZ7MB4Ouzc1wFouh/29MzlWEIqwMqFitp67hUUlcKQJn9wrJkd3JouuTu0p 4dGMH/cs74TEmLlac9cbwPBDW5xMggCpV/aHa4n0iSEsy6nCALl0qohzODl7uaYUxBaT1fOYcjp8 fhLZMYw4DCBWYoKutt94s0mjM1Lc6X+lqM93Mgyy8ixBi1jdhlPXnRjSJzf1vqwxReEFEPQMOQOp BHS8mG804B36e9niLBxVWsijxyq7NlLFHqJj8vuzYXKO6BFVa0KRGAwfGGzIWVn3gU25UCsXIs2E ntNbMlj2n2CIgjP5MclFvzFxrz8CJB5U1jBPNLsY3SUJsOPCvNpNxuqopSFMDA9hplZSRJ7WK2iL 3gQLhf0cwsRt51ZUUxsGaH8qziBaLoeuwaZ1h3v44zbkjI8g8KXEbuV7Yw92Br1z4cykRnKvMpKQ v27TyQXa24bJicN9lYTvQxodLV4z+gdi8u6tVZanAcb0IfcTOFDTmdHmfnEeeUtm4VlTjLNkxVZy znNDT75WugGI1vNMCUna6japU+CGkal/hSfLCiboAOZot4gBWw9rzYPwhsyqZ9htHbaQziAEnUMO ZULXVmCS+8itoj4sRbRHkIPBsIbHt/JceeTRg/LzU27S9VAP/KMn4418lylVI8yavDgPIZ+04sKd NxvXSs8sgBaT7ZGI6XWeorLtLXXgZGMdb6/qlH3nzPbSM7Kew0meP+QnaVn5ZMfXksYpjDCqKGl7 zQArfqhVfXZqI589JvNJHITG4sbVKSUe7/qSvu8s0z1+Z2y3KsKZNr47czTDLya9Nv2ncEFxcTq6 A5vTeWZIkS92bWLhKOaDO3/r4YCSNIArCtzdJ42R7IQsb3R36Sw9oekClMjzlk8s+iStskuD63N8 kScIc2w0YGs/5JTg+hne1XfMHKUUGbwiWR2OAST39BTJyfin/V0BGpmkKs+Q0Hk5Yg5jnT13C9T+ xjaR07QLD21ajRSzskKt20EYtdkvkJ1FsPXI1u0la6YiSWB9FZCWnhEBpGeZWWvxJyVRkZP4phgn mbLlJYuMXXtNHTPvPRri2FyExZR4ZA7BijMrn138PEX8sup1vu2b6oeojOma4Dk9qJEz4IfPRDZl x0bKxqnQloltRCw+x1GaF2n1Uytl9zIfeP381ob5w9FtJd/3mi788Imx1JCwsKSkYalvT2TWpAW0 K0AbuTzpq5+Rcsm07hXZjADgyPlTHNryeBWbog1tGVhWsItRIXytvydJXGenV6eehh6lbDHj2/qD TChNhIE0aI3Xs6fsoCqLOZUmIf7x0qzWwyJEvj+8ToBAC8YuCf6l7sIDSVKRSkEsOgdZ0i9Ag7jX Jm45BCshkOzT/X4XKYVOWckYDmRlORkwl08S43BFFrz5/CacBK5HhSX9t5NdYLNlO57l8COQeF4e 6vFA4gmJYQaUMi+Ebvq4eNB7jseSmobuIGp3R1O7utQdUVY/+7K4NMSQzkTtrk0RYXKOaMnG0/Mk j3Re879yYIgBeRv/aOetyEaFMC8A/13oCw0fFKGle38pYS4dPsNhtHkrHmPy2PyQ14nTEWmv1k3L 3kztu5Ri9RzM/wPFo/tEZ8UK03vo/CH/Xj/THaFagYd+oAceH/71EZRtkaFtXV5rw82bzr1OJEem kfd1dz7Ou9NdCYIQkdwJeNPutoE3NTel/Dh0YB2f7g10TDc6oYa9PfK95O06A6b+x8qujvtt95qw 0t8XPqsBDn9gqMQ2+X/6E7CiF7+g5YyG5qvlojjdCHS3P7YL444Sa7WK0X1DYzHzDXatZKQFGZM3 NMG8+fXGmka2M2ciaxtYfflOmdTdG86Vf2QyOy1sz5sFc71+ab2kVXI9/yhGPoEYiVgwUc2x/5Pd TGOivwcSJ3Y+Hu7YprLE20qlnZOQKdhAysvkw7L9tuSoqQxN4c26Cr+am+T2a9M0v8aknOWCQxiT 1++3dEI5huBK5cZ793w5lre+Q2ir0G6G8/EvPUbYPOtOj2wQALBjVMhdjS2YhvdxA8zxomlgNWoC DaXCxHk7febQvajugK1QEHdk0bdWmyaz10y0KFRhmrhiJ6DhEpnGFElE8r41HaRJfC1wcv6WnCqf XqC2pPcNkRHAoyGTo76IAF9fGVgaUDsILCjcfZUwpGXykdKxM44SGdA78XDWrH1jny219tkSecSs asn2lguumnRl3yiRvKdvkFoOHpHWrqiBN+S99t3T1flXT/aBSpeTxJsELnszB9D4mqbi3OhIy/3n 5z+iL2fz6feZX8ToN777S3pUTPTk8nlc9UX9zfl3Mxil5UqWs/NBVcNJ9/S9zLLw72U+lMsmDVhy amoNYYjFP6hZpQ9qGJA+vGFcy2ZxN8NaA2gS+xL24RafadW1McwnORsN4FSmD+DjMfxYw35DGoBt i4g8xYpzzbaGf4zDFFUVZKaPupbUbTxtGj4680WQZJ6jtwrTdIs0eUBhKuY/mgNsq3K8SjO0aUAG xk+7d7iRX3ffvX/3/u7NzY4kbWufII0ghgo0I8Y+K7JJvwgmdGP00dEpNoZB9XPYePb85xd/FnIA RWd3PTAUcMAXV2kdBFGvTMxriSB/PeWfR31znwT6GF/ytuv5dBMP9Y9sorq3EJR7fU5ZcZcFy5dp sO01WQQId6kHevWVYvAxXAFBJlsNIUGXam7ovShlNEDzWCx3k/uN83te4OnJ3Vs90iQWUnysHoRv HeFDpwGjIPM3NZVmCOnceCvW4uV15+Lz/HHkMbbLtJ5ofcSZkhybegnXfachnFDKuFNpiOKuxldn OaKeqJH3DvFsxXYMZbYOt48CGsX9IExIDHm3XiRqtS/YpJ/BrvZ7nf8XGV8c5ElscYI778L1Y6oo 0NJCiEiIVzQgvUAecZojnQHrXulrvcyx+tRPzsnX/jYxPiuyO0bQZcI61Qnq2JzNWYQoFQuhs1Cn 9Lu3HEwUnZFQTD5EHazxcfrmRmvElGFacac7P0wGd2I7MVaz7Pa2ie9jOAgqFfD0CyHGp1/3Qux4 9el3rafFyE6wEb4J5AZbsSRUf9wjjZHNOaU2W+1ge6r6eUaPwXqIaXQak0XRfboGeeZUb2PvU4x0 KBFLol8jcMS5Wg4YxIXG3Peu5rrddVv76v7FJMHIv/qKOxFDl3FHvhr74d2ZghELFgHnhMbiANME IwPvEvqTL3L1es9Xy9Plg6pOLsMy3s7O13rstMh7Hjs5Jz3AG0eZNfkNXwkl5IsR/YoiSX6cIerx kK6VgnkyvXyvj7nStFouXGEfLx7fbk82EOnKUPP8Hot26jL30rUmXVwxea8pJkchErsJtt1eilWD PsOTc6e3+10C2wbJ4iUsR3Nf746deIKYoJ3jm6deJ2QcQ0TH59xg+nDUvlkVIT335FwYj26dtzFx cAitX+jCyM0HkOoBStDq4zaL0XtYTtHv4bhFqzmZk4/q7DNxH7v73XdL0z8yA93xrP1ARZJZMD2w +n7YSBr4yrBxtnbvFEgXACP7EwBCTcHyEHmdpKTTwAbsdQ5lYH9JShJdepm0QlLWg/zZRv916S02 TTRW8kRGySCv9eRraTPADf6eBZ0j8v8xH8ZfBxkALtqokJtUGOYYzRORGU04fe/Z7TVriBwVZ3zx MHQjCEp0Xen79X2+nZyjEUY7Uu8pNB50IZFATSIryowwvdBkXGi28EV8j8NJPlbPCxWTXGyEkvSK 1tt+iINCsVAcXPPOmNsSFch5GzK0SV9Tsz7i0EoUWMFFrNthP/YONbHoD6PIddypHxzA9erY9fo0 lTgH2mYPQnjQ1VGhRaOthU7HfZ7V8P7XP87DaDUfFtBPByvn8NP3rS71ofISvxBmpAdEorQUbyHb zxl9cByfAzzgjSXBgaGcKCPUKb+l1+Kwpm50B5hE9zbXtThE3ZIXiWntlLk1b0cM7G+x+awlhrgN 0cSFxsYKfB59HlQSSorJcRtYHyon+dCBdHr2EVyF7EN1wmFAP8iRBGzoZ+A33Bub267zwAOGkqlH bqNEkhCyFycpEEF9OX9m+eyA8RJVRdf/tB/Pia7NvKKbWq+SPdT6I0qcDbxkt4tNbvrB1IPpwnZj /I4pyS+AQ7qwXWG/Y18Y+QWkpwsAly7sWwZ/ZN8r+IWBxi+GE+a30llYH2OS94u9LlDBw6z3WvR2 0n2zIv6I3/ijUfArUSt2yM3YaRo3+9D8AIjdOcNjV7cM3EZ4YZhNx5TikOndrZLV7pO9mye9ZPVh Nm3DhZMepwpu2E5dLOmGiuG+gn+BDvp7VsvQ6bTTCvaDRu2HZ/YD7/YD6/aD4O3nQFTlxw6Q8INR 2g9i409fxPtotjcGZX6Gg6GJtHzEsmppK49ZivQhV3Tq0PBRkZFFhNArY7r9IsLm9sdeBrYbC4qU +OMSPczsfskpRCSnIyGtr3MHnZjsx1CjeJhv9YOdfUs4P7d2tjsXNPD5Q1qZBYHBTgLTxXZbzpo0 XPgO6HuT4WdENEzwKr5OaRd039uRA0CfU4TzyxnSTmZysbP+htwjdmdyr33Fl40jWzLsOtKLn7PF 0+8iNvzhm1Xm5rTXPtT302//Atqht/C/C5fcw1kDvpPZj/8HVWQKpAplbmRzdHJlYW0KZW5kb2Jq CjU4IDAgb2JqCjYyNTgKZW5kb2JqCjU2IDAgb2JqCjw8IC9UeXBlIC9QYWdlIC9QYXJlbnQgMyAw IFIgL1Jlc291cmNlcyA1OSAwIFIgL0NvbnRlbnRzIDU3IDAgUiAvTWVkaWFCb3gKWzAgMCA1OTUg ODQyXSA+PgplbmRvYmoKNTkgMCBvYmoKPDwgL1Byb2NTZXQgWyAvUERGIC9UZXh0IC9JbWFnZUIg L0ltYWdlQyAvSW1hZ2VJIF0gL0NvbG9yU3BhY2UgPDwgL0NzMSA3IDAgUgovQ3M0IDE3IDAgUiA+ PiAvRm9udCA8PCAvRjIuMCAxNSAwIFIgL0YxLjAgOCAwIFIgL0YxLjEgOSAwIFIgPj4gL1hPYmpl Y3QgPDwKL0ltMTQgNzggMCBSIC9JbTcgNjQgMCBSIC9JbTEyIDc0IDAgUiAvSW05IDY4IDAgUiAv SW0xMyA3NiAwIFIgL0ltMTUgODAgMCBSCi9JbTYgNjIgMCBSIC9JbTEwIDcwIDAgUiAvSW04IDY2 IDAgUiAvSW01IDYwIDAgUiAvSW0xMSA3MiAwIFIgPj4gPj4KZW5kb2JqCjc4IDAgb2JqCjw8IC9M ZW5ndGggNzkgMCBSIC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9JbWFnZSAvV2lkdGggNjYgL0hl aWdodCA3NiAvSW50ZXJwb2xhdGUKdHJ1ZSAvQ29sb3JTcGFjZSA4MiAwIFIgL0ludGVudCAvUGVy Y2VwdHVhbCAvQml0c1BlckNvbXBvbmVudCA4IC9GaWx0ZXIgL0RDVERlY29kZQo+PgpzdHJlYW0K /9j/4AAQSkZJRgABAQAAAQABAAD/4gLESUNDX1BST0ZJTEUAAQEAAAK0YXBwbAIAAABtbnRyUkdC IFhZWiAH2gAHABsAAAAAAABhY3NwQVBQTAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA9tYAAQAA AADTLWFwcGxLEd1mP9Yr/6r07QZakd8sAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAxy WFlaAAABFAAAABRnWFlaAAABKAAAABRiWFlaAAABPAAAABR3dHB0AAABUAAAABRjaGFkAAABZAAA ACxyVFJDAAABkAAAAA5nVFJDAAABoAAAAA5iVFJDAAABsAAAAA52Y2d0AAABwAAAADBuZGluAAAB 8AAAADhkZXNjAAACKAAAAGdjcHJ0AAACkAAAACRYWVogAAAAAAAAb6AAADj1AAADkFhZWiAAAAAA AABimAAAt4gAABjZWFlaIAAAAAAAACSfAAAPgwAAtsNYWVogAAAAAAAA81EAAQAAAAEW03NmMzIA AAAAAAEMQwAABd7///MlAAAHkwAA/ZD///uh///9ogAAA9wAAMBqY3VydgAAAAAAAAABAjMAAGN1 cnYAAAAAAAAAAQIzAABjdXJ2AAAAAAAAAAECMwAAdmNndAAAAAAAAAABAAEAAAAAAAAAAQAAAAEA AAAAAAAAAQAAAAEAAAAAAAAAAQAAbmRpbgAAAAAAAAAwAACj1gAAVHwAAEzNAACZmgAAJmYAAA9c AABQDAAAVDkAAjM1AAIzNQACMzVkZXNjAAAAAAAAAA1zUkdCIFByb2ZpbGUAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAHRleHQAAAAAQ29weXJpZ2h0IEFwcGxlLCBJbmMuLCAyMDEwAP/hAEBFeGlmAABN TQAqAAAACAABh2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAABCoAMABAAAAAEAAABMAAAAAP/b AEMAAwICAgICAwICAgMDAwMEBwQEBAQECAYGBQcKCQoKCgkJCQsMDw0LCw8MCQkNEg4PEBAREREK DRMUExEUDxEREf/bAEMBAwMDBAQECAQECBELCQsRERERERERERERERERERERERERERERERERERER EREREREREREREREREREREREREREREf/AABEIAEwAQgMBIgACEQEDEQH/xAAfAAABBQEBAQEBAQAA AAAAAAAAAQIDBAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEU MoGRoQgjQrHBFVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2Rl ZmdoaWpzdHV2d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK 0tPU1dbX2Nna4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUG BwgJCgv/xAC1EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS 8BVictEKFiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4 eXqCg4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri 4+Tl5ufo6ery8/T19vf4+fr/2gAMAwEAAhEDEQA/APsjxCfi/wDEb9o7xj8PfC/xx1jwNofhbw1o 2oQ2+maPp10Z5ruW+WRne5gkbgW0YABA61yXjfVfEXw78WWngjxZ+218TrfWdQH+iW9t8N7O7W5+ XeRHJDpjo5VQWYKxKgEnFeoRWMPw4+Pvj34s+PNd0TQPC3iPQNB0fTr7UdTht1lureTUGlj+dhg4 uI8f3snHQ1reOND03xP8Tvhv45tfGOhQWngnV9RtryGW7XzJ7i4sZIVgTBx5o3hyhwdoJxQB4hYe Kb3UbPW9Vh/bv+IMWmeHVmbUdTuvh/YW9jF5M4t5AtzJpqxSFZTsIRmOQewJF3xbqOs+CftKa9+3 j4482z1oeHZ4LHwVpd9Ml8bUXnk+VBp7uSLc+aSAQFzkggiuO0L4DQeIfhZ4z8F3/wARvhjefDvW /Ep1LxNruneLbu4Z7L+1Wv3t3Rs21q5jk8slGXJwTnOak+Gn7Il3fX2gzwfH6y8R21zqdn4y17VN D1uWHUb66FrqtjLcW80BykcgntYwysARayr1oA9G8D6F41+JTXK+Bf27vFesiztbS9le28M6GUEN 1F5tu4Y2QDB054Jx0ODxWD4g1rVPDXhXU/G+o/t5+OJdD0TVbrRdTvLDwRpl8lldW277Qkwg05zG E2NudgEHHPIzu2Pw48YfA3xJ471n4R6v8MdI8Ey6Xp2mD+29VuIX0BrKy8qISkIyEHzInPmOGIYE 53ZrhvBPwEt/BXw38efB3TP2iPBmt2/xb8DFdNNzcwQTS6j9lmgmv40iJ8+CSMRvJKMsTCSc5JoA 0LPxbqmoapp2iWf7bfxWl1DVIEuoLUfC6381YXleFJZV/srMUbSRuA0m0HaTnHNbnxp0H4//AAX8 AS/Ee0/an8T64+marpcL6dfeHdFSC5juL+2t5Fdo7VXA2TNyrA5ArV8R/DjV7v45eHvjf4Y8ReBt S0uw0DSfDsrXviK8tGhlE8sqvGLfMU5lS8i8tJeCSpH3snqf2iorD4u/D/XvhB4A8S+H9T8Yw3+l Xs2jrqsAuYIoNRtZ5Wkj3bkAjjY8gZOB3FAHtdFFFAHz9+1R4Z1Dx1Z6XB8ONFuNd+IfhKWS/wBL SyvdNK6Y9xbzQo+oWt44WSzmw8bYBfAYx4Za4I/B7403Pi9vDd/4CgFhL8TT8RZ/EUOpW/2DyTpn ktbpEX+0ed55KDMYTbhi/aq/x/8Aidrvwy+O2qXPwufS9G1XXotC0Lxh4k1u1lvrbSLeY3o0uWG2 SSJcPcfaoXd3wrPBkYPFm++B914zYy/Gn4seNvH+45k0+41D+zNJJ9PsNmIkZfaQye+a+F4w8Q8n 4XlGnmHO6kldRjG91e27tHfdc1121R3YPLq2Ku6drLuzzH4YfsufG7w14V0S91L4bSajZ6G3hO71 Tw5qmq6ZJca7JpsN5DNHbvARb/Zo/tFvNCtw295ITvYZU173ocXxR8PfGyX4k2X7O2sQ6N4g8I2G iNZWeqaSkmlywahqErecv2lVOY7mOT90X5ZhkkVzHwe8Vaj+z745svgZrFzNL4K1l5ZvAVzM5f7P gGSbR3Y874wGlts8tFvj5Mag/WcE8VzClxBIHjkUMrA5BBr6TI86wmc5fSzLAyvTqK67run2aejX c5q9GdGo6c90fDuh/s/fHmCx8ZzfFLwTNrlr8Sfs/iy/tfC2uW41DSdet9QSeAr9sZbdikDwxYBe Jhpig58wZ2rL4TfH7+3PDuvyfD+O38T6x4e/srxpeiTTBo89tHDfJAsUSuZre/Tz4gTABbsZZQSV AI+zKK9YyPgvQf2Rvjrp02l69YTLpkkd/wCA4Nb0aW8ilttRstKttMM8keGIjube4tZtrcCSMuvO UI7z4KeDvit8Gtf8I6R4s8J6L4d8NeG49TtfFfiy7n00xa/PczZtbqK4Lfa1mnldDIkgUbsLljtz 9cV4b+2qAf2ddbBGf+JzoX/p4saAPcqKKKAPm9vBHhv4k/tJfHPwD4v09b3Rte8AeHLG9gPBaN5d WBKn+FhwVYcggEciua+DuteJLA618G/iJeNc+M/h7MlhdXbjDavYuCbLUFHfzY1w+Oksco7V6H4F /wCTxPi1/wBib4Y/9HatXlP7eXwxvfGPjj4TyeGPF+oeDtX8SXl/4VvdZ05nWS4tPskt6ltMEeNn iMtp0Dqw3vtI3HP5x4ocK4TPcinLET9nKheop2b5Uleei1acVsuqT6HpZXi50K65Vfm0t+RT+Pnj n4Pano938K/EWr3+qeJbrZcafpXheFr7XLO6jYPBcwpFkwSRyBXWSQooxycE1N+z9+2R45n+HNlf /Ev4BePrma3nuNNv9U8P29nfQvdW0zwTubSOfz4iXjYlFV1DEhSVxXO+B7vxV+ztpn9ha5+z3p40 JW3T698OYWuhKe8t1Yyf6Xu7lla4PvVX9mb4vfDDTfg5r+uar460fT7bTfFGu318t7ciCe0im1K4 kiMsL4kQujoVVlDHcABnivwjhbijMeFcurf2NS9vTc4fE+dSclJNxjTf7uTtFcrcpbX6HuYrDU8X UXt3yuz8u3fc+jtE/bO/Zq1a7j03UPibaeGdQkOPsXim1uNDmB9MXiRAn6E10nxY+OXhn4afDRvi NpsaeKhdXlrpmkWOlXcTNql3cTJDFDFJkpkl8kk4CqxPAr5mvpviP+0jbNpum2F14F+G1yMS6lqV mv8AbmtRHr9mt5VIsoWH/LWVTKQcqifer57/AGffiX8DtJ8UeGvhLL4w0nw74W+HHiDxDr1vDqF0 0dvcalcX1xZ2EYnk+RzDZpLJuLctOuCSpx+wZN4oVMbluMr1sMo4jDw5nCEnPV6Ri7RVm3uk5OKv zcrVjyK2WKFSEVL3ZO13ofcEP7Xd3p/yeNP2bvizo7D78tlp1prEI9wbS4kcj/gFYH7QXxd8C/GP 9k3UfGHgXU57jT7vXdIhRbuzltJw8OuWkUoaGVVcbZEdTkYyp9KPix8QovA/wj8R/ELRZYr+Wz01 20vyHEiXV1JiO2RCMht8zxqMeteGaj4Cfwz+zzr+nrcvPbeFLnw3oCS5+WeaLVrEXEvuZJjNIT6v XV4X8bZrxTh8RiMxowhGm1FOPMrys3JWbdrK3XqRmmCpYWUY05N31P0Xooor9UPLPDfAv/J4nxa/ 7E3wx/6O1asz9sNBbxfCDXAOdP8Aibp0Zb0W4tru2P5mdRWn4v8Ag98Z4fjHrvxX+EfxM8KaKPEm i6fpN9Za74an1Eg2b3LI8bx3cOM/amBBB+6Oa534jfBP9pr4keDpdI8UfFD4eajf6Xqmna9oa2vh q70+IXlndxThZ5Ddzny3RHjO1cjeDzjB83OcHLGZbiMJDepCcV/29Fr9TSjPkqRm+jR01eG/GPwj 4T1D4/8AwR1i+8MaTcahJq+qB7qWyjeZxHps0kYZyuSFcKy5PDAEYIrol+N48I6lD4c+PPhC9+G2 qzyCCC8vpVuNDvn6AW+pIBFk9kmEUn+zWL8a9XtNI+Kvwc1+YPPa2Nxr1+3kYZpI49Inc7OcEkDj nBr+FsLkeb5NmssLjqUqVR06yV9L/up7NaSV+qbR91UxFGvSU4NNXj+aOJ+NOpfFn4g/GLWPhrp/ hq51/wCHvhfS7DUNb0PRtZTTNT1g3fnbVaWTAkgX7O4aFZIS+RlmHy1ieEvi18F/CPxV8eJ4y8L3 XgjQ7vwvoem6b4a13w81tJdPbveiS3tbUKy3BHnRACLeG3jGecc34a+Mc/jjxh4j+Oz/ABr0b4NX l7odolv4X13RjdzX2n27TSQXM/neUZvMFyxVbNm4ZRuY8V0Oj/GPxp8Y4fh/L4+8GxeHtV8N/GCx 0sqiyR/aVOmXFwkxgky8BZJoyY2ZmXOCcjFfYvK61DCvBV6KVKFOMZ8kpQkpWjOTfNF06jc4256f NaLV3blOH2qlLni9W3a6urbeq0ezOc8RfCi7g8c/D/4k2HgC2+FvhrUPGlikHhG1kdJtTESy3gud Rt0k+zQsv2QMkSIzKTl3yNo+h/Hujx6Z+xHdXGCZr7WdDnlY9WY6xZcmuV/aO8Qw6z4z8JeDvDOq W7614bbUfEGpZjM0Wlq2lXttaPc4ICmSe4jVIywd+SvAJHcaR8Cv2kPiR8I9F8D+J/i/4Dg8MXM1 he3MFn4OuUvSlvdQ3IRZWvioYtCoyUPBPFfv/hNiMVieGqeJxUeVzlJxTv8ACrJayvKW27bv3tZL wc2jCOJcYO9vzPrqiiiv0s80KKKKAKGtaDo3iLTrjSNd0u1v7K7jMVxb3MKyxTIequjAqw9iCK+X PH3/AATy+FGv6npt34e1fxbomhadJcSN4V0vW5IdLk8+IxSiNDlrdWViGjhdEcfKQMk19ZUVlVoU q1lVipW1V0nZ7dRqTWzPzj+Jfw6/aE+HHgz4X/DrV/glB46j+H2v6Vc6b4h0O7iFtPbWiMn+mRz4 exYjYWceZFwTuGADR0n4EfHn4iSP4q8M/Emxsrh/GP8AwmmriPw20kdveC2e2/4lcryZlCxFUC3K KCyCTKglD+k09vBdRGG5hSWNhgq65BqOx0+x02H7PYWkVvFnO2NQor5fC8DZBh5znDDp87btK8ku Z8zsm3ZN6v7ttDplja8rXkfLPwN/ZfS1jW88T2E9np6XTXhtbmcz3V/cn711eTH5p527ueAPlUKo Cj6ptraCzt47W2iWOKJQqKowABUtFfVxjGMVGKskcrd9WFFFFUB//9kKZW5kc3RyZWFtCmVuZG9i ago3OSAwIG9iago0OTQzCmVuZG9iago2NCAwIG9iago8PCAvTGVuZ3RoIDY1IDAgUiAvVHlwZSAv WE9iamVjdCAvU3VidHlwZSAvSW1hZ2UgL1dpZHRoIDYzIC9IZWlnaHQgNjcgL0ludGVycG9sYXRl CnRydWUgL0NvbG9yU3BhY2UgODIgMCBSIC9JbnRlbnQgL1BlcmNlcHR1YWwgL0JpdHNQZXJDb21w b25lbnQgOCAvRmlsdGVyIC9EQ1REZWNvZGUKPj4Kc3RyZWFtCv/Y/+AAEEpGSUYAAQEAAAEAAQAA /+ICxElDQ19QUk9GSUxFAAEBAAACtGFwcGwCAAAAbW50clJHQiBYWVogB9oABwAbAAAAAAAAYWNz cEFQUEwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPbWAAEAAAAA0y1hcHBsSxHdZj/WK/+q9O0G WpHfLAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMclhZWgAAARQAAAAUZ1hZWgAAASgA AAAUYlhZWgAAATwAAAAUd3RwdAAAAVAAAAAUY2hhZAAAAWQAAAAsclRSQwAAAZAAAAAOZ1RSQwAA AaAAAAAOYlRSQwAAAbAAAAAOdmNndAAAAcAAAAAwbmRpbgAAAfAAAAA4ZGVzYwAAAigAAABnY3By dAAAApAAAAAkWFlaIAAAAAAAAG+gAAA49QAAA5BYWVogAAAAAAAAYpgAALeIAAAY2VhZWiAAAAAA AAAknwAAD4MAALbDWFlaIAAAAAAAAPNRAAEAAAABFtNzZjMyAAAAAAABDEMAAAXe///zJQAAB5MA AP2Q///7of///aIAAAPcAADAamN1cnYAAAAAAAAAAQIzAABjdXJ2AAAAAAAAAAECMwAAY3VydgAA AAAAAAABAjMAAHZjZ3QAAAAAAAAAAQABAAAAAAAAAAEAAAABAAAAAAAAAAEAAAABAAAAAAAAAAEA AG5kaW4AAAAAAAAAMAAAo9YAAFR8AABMzQAAmZoAACZmAAAPXAAAUAwAAFQ5AAIzNQACMzUAAjM1 ZGVzYwAAAAAAAAANc1JHQiBQcm9maWxlAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB0ZXh0AAAAAENv cHlyaWdodCBBcHBsZSwgSW5jLiwgMjAxMAD/4QBARXhpZgAATU0AKgAAAAgAAYdpAAQAAAABAAAA GgAAAAAAAqACAAQAAAABAAAAP6ADAAQAAAABAAAAQwAAAAD/2wBDAAMCAgICAgMCAgIDAwMDBAcE BAQEBAgGBgUHCgkKCgoJCQkLDA8NCwsPDAkJDRIODxAQERERCg0TFBMRFA8RERH/2wBDAQMDAwQE BAgEBAgRCwkLERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERER ERH/wAARCABDAD8DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QA tRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkK FhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJ ipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx 8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcF BAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygp KjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJma oqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oA DAMBAAIRAxEAPwD6u8C/DjXvjR4y+K2ta98cfijo6aH47utDsLHQvEH2O0gtora0dVWPyzzulck5 5zXReI/2d9D8I+H9S8VeJP2nfjXp+k6PaS319dzeMCEghjUu7t+56BQT+FL8CfE2geD1+OfiHxPq tvpum2vxUvVmuZ22ohe206Ncn3Z1Ue5FdP8AF/xl8EPGfwu1/wAH+MviBY22ieKrLU9CluLWbfKr Q7oboR7Q37yFs5BBwV5FAHi2geGvC+tLoj33xc/ak0BfEmsQ6LpJ1rV2tftkktvPcpIoKEiPy7aT O7DKdoZQTSeI9E+HvhjxxN4Jv/2gf2j5Vsb+z0nVNZtteeTS9LvLvZ9mt7m4EXyO/nQdAVXzo95X cK4c3ngLVNYs/jBP+2P4Pu/EA1jTZLC9j8KXX2C7ksLS+gLPai6y87x32XeJkUeQg212F3b/AA41 zxX4s8P6p+1B4WXS72+sfG3j3RY9FaCaW50yG0kna2mec+TbstpaSSx4mdFDYdd+QAU/CFz8JvGG j+Ktdh/aL/aM0yz8I6TJr16+peITEJbFHnjM8JEbBhvtZ1Ckhsr93BBPX+Ffhz4G8aa3o2heHv2m Pjzcza/4Yj8XWMn/AAlRET2MjoisW8rh8uvy9etebeA/2evhdqnhDUdQ0r9o7SYPDuqanYaBqN3o 2gDS21DfqYvIoriSWRhPdySywwJKVwI2ddh3nHX6F4F0n4FfFTS/D3h39pjw/Fq2jaPfWZ0vXdBe +uYtJmu31IJLJDcRLE6KswVmUAxqMJhaAPUf+GVl/wCjjPjj/wCFh/8AaqzPhFouvfD/APaS8XfD ST4leM/FOiJ4K0rW4U8S6p9ukguZby/icxtsXaCkEYx6iuytf2pf2f73S7fWrT4n6XLZ3d0tnbyK kpM0jJvwi7NzKF+YsAVUYJIzWLon/J6Xi/8A7Jpov/px1OgDz3QvAOtfE/4f/tC+CPD01pFf6h8V 5Xie6dkiAiXSpmyQCfuxtjjrirfww/ZJ8TfD34yaL8UoPElulm2ueJtW13R1meSCWe/nnNrdwZUb Jvs7wxTLwreWhGSpLdt+zL/yF/jZ/wBlT1D/ANI7Cvabu7tdPtJr+/uYra2to2mmmlcIkaKMszMe AAASSemKAPlC5/Zs+LWkeD/gxZ6RDpup6l8Om1X+0oLfxXeaJ532o5j8q7gheQqP4kKgMODkVynx C/Ze8YJq3jvxRqnjPwvBceN/+Emt7fStX16SOz0z+09PighvLYGMAXAeN4ZcqQ0UuVIZdrdbqnxL +I/7SLy3vgnxPqXw/wDhQCy2uqWIEOt+JkB5nhlcH7FZnHyOB50i/MDGpGfnud/2VfCuh6hqlh4a 8KfELVtV1W/i0rUNX00X0s626RPIn2i4eR7sp5yDfuXeSclQrMPzPOPFHK8JjJ5fgac8TVg7S5F7 sXrdOb0urNv0et00elRyurOCqTain33+4+lPi3+zN4j+LvgXwl8OPBXxIhg8L6RFeald6nqt/c67 dS6kYPJtPLZ5Q2yIzTzKxk+R44cIccXPD/wr/aA0i18eaHf6P4JvovijAdR1jVRq08c+nX0mkw2c 0KRfZiJ4fNt1aNi8e1JGBXKjPj/g39mO0i8U6v4ztLK6+FWqW6nTdLfwHqJ06K4CSO326W2TdCWc MqeVJ5i7UywywC+2fDP48+MvCniyy+Efx+ks7m/1MP8A8I34usrf7Pa66EUs8E0IJFveqgLlFJSV VZo8FSg6OGPE3I8+xX9n0Zcle11F2tLS75ZJtSa6rR76aMnFZZXoQ9pJXj/W5xsfwA+OcXwg8K+E tL8O6ZpXjbwiwi0TxQ3xF1C8m0tzbRxPOnm2Z8y3YxgPYn92yYAIOCPTPDyyr+2Z4rWeQPIPhlog dguAx/tDU8kDtXt6OkiLJGwZWG5WByCPWvE9E/5PS8X/APZNNF/9OOp1+iHnifsy/wDIX+Nn/ZU9 Q/8ASOwrH/a81CfxNH4J+ANtNJFb/EXU5X14xsVZtGsoxPdRZHIEztbW5/2J3FbH7Mv/ACF/jZ/2 VPUP/SOwrmvjaptv2q/hlc3fEF34N8Q2lqT085bjTJGA9zGpP0U18txtj6+A4dxuLwrtONOVn2dr X+W/yOrBU41MRCEtmzJ+InjObw5YxeG/BVldX2uDySdP0i1iuLm0swyh5BE5WNQFwFDlQc/KGIwf BdA17Rfhrr2jaRrnwSstYhEUuqaxf2nh66k1HTr9yDF5hnTbvlkkVF8s4Zn4wqkn6L+HDRLpmoWc /lrrUep3MusRLgMJ3kZg2OpjMZj8tj1j2emBf1/wT4X8TXdtqGsaX5l3Z/6i5hnkgmTggfPGyscb iQCTgnIwea/iLBZphsBz4OvTbi73adnJ2aT6aK9469bu60Ptp0ZVLVIvU8v034v/ABIvvAo8dSaB pL2kGqQC4W1DSu9oyEyRBVkcpOrmNNzcfvPujGa7/wCKvgGH4meBNS8LLcvZ38ird6RfoMS6ffxE SW1wh6hklVG9xkHgmvOZLmLwRqHjH4YeJPHuoeH7fUpP+Ei8N+IJbtzdMpKGWFpGO6do5VC7clni cJ2BPQaPZ/FXSfCQ8Wz+INa8Qazb+aBplxaW9t9stgziNhAqr5dwRskwW7bDjPHRXpexrUsdgZRo yjNSg/eV7qMotO1vdaaldqz0aSJjJuLp1Pe01/U9R/ZP+LNz8T/h1YXOqQrb35sobuS3HSBm3JPE PaO4jnjHsgp2if8AJ6Xi/wD7Jpov/px1OvF/2AlurW3s7YzyTRy2Gq3Bkdy5kRtbvmjYt33Als9w 1e0aJ/yel4v/AOyaaL/6cdTr++MPUdSjCpLdpP70fBSVm0J+zL/yF/jZ/wBlT1D/ANI7CnftV+BP EWv+ENH+IngTTH1HxZ8N9UHiGwsYv9ZqVv5bxXlmv+1LbySbB3kSOoJ/2avFWn+KPFHiDwF+0Z44 8I2vivWJNdvNMsbDSbiBLl4443ZGuLSSQAiFOCxAxT/+FC/GP/o8b4jf+CbQP/kCpxeFo4vD1MLi I80Jpxku6as19w4TcJKUd0cjp0Xw5+MXhvTfG+kpbajaanaiSx1ODMV1Ep7CRcPG6MMFcgq6kEAi tLwFqGoaj4S099YuTcajbK9jfTYAEtxA7QyuMcYZ42YexFUtS/Zd8f8AgOWTxd8EviHb3OvXzm48 Q6T4itkh0vxBcE83WLZFFldsMb5IYykhGXjJy1ebv4p+PfgGe60m7/Zx8W6faXMzXCmwit9dtrSR zmT7O0FxGzxMxLhZFiKlmHTAX+QuJPB/iDA1J0MDF16F04SWrS1vFx3T1TfKnF272R9dhs4w80pT 92XU7L4i6R4e8caxZeDPElho/wBitGgvJbrUFRpS07SxpBahvuyyCKVWcHIU4UFjlIfjj49vfCnh mPwx4SnhHjPxaJNN0CJz8tu2wma9l/u29tHumdunyKvVgK8puY/GOqeJNN8QeH/hPq1jrNnlzqvj y/tYxJOSSJ/sFoZ7uRl3YSNTDGAqjIAzXaeH/wBkb4ifEK7n8QeI/ib4k0G81OMR6trrWNn/AGhq USsGS1ht5EkjsrFWG4QrlnbDSs7Abfd4S8H8wxeKw9XOE6eGpauMvik76pK7ai7e83Z20SvdrDF5 xTjGSo6yfXseqfsh/D+y8NeGZdZ063mi0pbW30XRBOMSNZWsYjSR/wDacrvb/aZq1tE/5PS8X/8A ZNNF/wDTjqdVrL9nj4s6daQ2Fj+1/wDEOC3t0EcUaaLoAVFHQD/QK6H4XfAy/wDAPjnWviN4m+K/ ibxzrus6Va6MbjV7exgFvbQSzSoqLawRAnfcSElgTX9UHyx6tRRRQAVHLBDOuyeFJF9HUEfrRRQB HBp2n2rbraxt4j6pEqn9BViiigAooooA/9kKZW5kc3RyZWFtCmVuZG9iago2NSAwIG9iago0MzIx CmVuZG9iago3NCAwIG9iago8PCAvTGVuZ3RoIDc1IDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlw ZSAvSW1hZ2UgL1dpZHRoIDYyIC9IZWlnaHQgNjIgL0ludGVycG9sYXRlCnRydWUgL0NvbG9yU3Bh Y2UgMzYgMCBSIC9TTWFzayA4MyAwIFIgL0JpdHNQZXJDb21wb25lbnQgOCAvRmlsdGVyIC9GbGF0 ZURlY29kZQo+PgpzdHJlYW0KeAHVmgdUVNe6xzdFyszsoQ0Kgg00asQGV40YJdHkRY0tsScY9dli L7HkqlGxd7HFgviMPRp7Dz6jESuKRikGLGCw0wR7VO5vODqMMA6oLOM9yzXrsM8++/z39/2/us3K +u++nj59evTo0a3v9rVjx46kpKRcgk5JSSlatGixYsVKv8OXnZ1dv379ciG/efOmq6vrgQMH7r/D V/v27Tt27JgXOTKHMLnG36k/O3To0KlTp1yQkDnIjxw5YjwOqcaNGzd69OiEhIS//vpr3rx506dP nzZtWlhYmDJt27Zt9+7d4z4jI4OnzFy0aFFqaqrydNeuXUOHDp05c2Z6evru3btPnTrFOB9avXr1 o0eP1q1bx/qnT5++fPky48xhHIVzf/z48R9++CEoKCg6OlpZSvkNDAwsCHIWr1evHjMHDRrEUlu2 bHFwcOjbt2+fPn3Wrl3LUleuXNFqtXv37uX+/PnzkLB79+7+/v6NGzfG3mfMmFGiRIlhw4b17Nnz 2rVrjRo1mjRpEjNPnDjBeGZmZsWKFZHAhAkT6tSp8/DhwwsXLnh6ejIO/uLFi/fv379z586zZs1S MCu/BUT+4MGDMmXKzJ07V3kLEfn6+t66dQvxKiOzZ892cXFhff4EuYeHx507d/bs2QMwFOTm5vbr r78qM/lt1qzZ8OHDExMTUdN7770HwurVq+/bty84OFgIMXjwYORQvnx5tFC2bNnly5cbXjS+KSBy Xtm5cyeSadq06dWrV/miRqOpXbs2guURGuEe+VSpUoWPAgmN1KpVq1SpUkuXLj179ixygwCG77Zu 3ZoRPz8/4IGNPSrIp0yZ0rBhQx8fn++//75atWpohGlsHC2gXFTMTMMiBUfOKxCvRYsWWDSevmbN moZF8EJqtXrixInu7u4IHz5wg6wQONRCdDqd7uLFi4b5bB+TQdS8aCxz2NK7d+9jx45BNtgSHx8P 8sOHD/NiaGgoOkXLhkUKiByu8u727duBzSvwHD4g5FWrVmFrOChkBZmhceXKlaOiopydnQkKCxcu BNjt27ebNGnSoEEDYsfYsWMxQ/5km2BgXyVLllR4jo2MGTOGxRnHkNEaEsZjo+iNGzdi8mw/OTn5 VZE/efIE6+br3bp1Q6R8HbStWrVq2bJlSEgIzFQMn2/16tULd4pNgZy3Bg4c+Ntvv+Fh0DWvs/FL ly7BZ4QABiyRd1HliBEjWGHz5s24I8Z5cerUqWlpadjX+PHjP/nkE3S9YsWKx48fvypyw/x356aA bMkL+O7du7t3hw0aNLzBJ02r+9apW69hj28HbN26Q3HCeecX+shrIIcSM2bOKVuuUlFX0bCBGPmd mD/Vcvxw8cXnopirqOTju2jxYqhS6FBzLfiqyPfvP+Dj4+dVUsydbHU9VpOVLrMyZVZG9u9dbUai JmiopZWlwPmPGPFDXFx8rs8V4p+vhHzu3B81atWAHhZpFzV6wMky60b2vxSZdVsmnFKzneYNhY0N 8URoNcLV1bFtu07h4Xq3VuhXwZEHjZ2gUYk1IbYvYL6pF3jCaXX3jsLF2bJylZpDh43etm17z159 KpYTe9bZtWomHLRF2rQJJEIVLvgCIg8OnquyF3vW22XdeS5npH1LZqXJkGCbojoR8FHDsL37oPe5 c+cI9MSdkqUqLpxWJOuR9tQBVUBt4eVVgWBaiOALgnzPnjAbG9v1obYvwE6R96/JboEWjo66JaHL CDf79+8ndSSvI0vkPnj2j2XLiAdJeiI9vCE7thElSpQjlBcW+HyR37hxw72498iBVnqSKKzmN1ne TZJN/kd4eVc6c+YswYVEDsyED0ItWQ0pR0JCorOz628b7dAL8x/dlPU/FJ81bG4cTd5kF/ki79S5 h19V8fB6NjcU5Lf0ML5oLMpXqA57ieAImUi3ePFikkPYQowmUSdhaNCg6ZDeFs+2nCovnlBLjVi/ fiOAefomsHnXDPLIyMgTJyLtbG2O7bbXez+DwG/Lwb2s3Ny9qAIOHTqkiJosnQQGnv/9998GSEFj p9SpKbLwPMq7d+Swvha+fh+SW5L+Gaa93s3LkFOHIszGn7cKbCX07toAO0NuXm5nY6M+cvTYmTNn gE2iRQJGTq4URMYwtmzdWdJD3E3QZOGCWCFFXjyu1krro0ePEWrfkDYmkV+/fp0kefXqNQ5au5iD qqzU58iTZXKcxr2YmDhpOpQgU8UkyXip7xCjMWblPvLUaVedTdJpdY7nT5V1a4kRI8eRShmqkrwv FmTEJHJKA5K3zv/bq9lnAs9gLPCBPXDaHyBeMlgy1Q0bNmCeJmHz9QsXLup0MvaQKocwmXLUdxYB HzUi7SFvfxO2m0ROYYutubl77lxjm4M8RV6IUGvUlmFh/0/yj1WSdsbGxpphbELiZZ3O8ewB+xyt 3ZabfypSuvR71AjY8su2/NoyRxTLl6/WUzRRow83CskzZf9ulv51PiXjgiSk+uThFAVmvhJ//oLO RXPusJHMU+XJvfZFi7qgKTzAmxDGpMwB06Ztp45tRY4PvyVT4zWkghs3bgUwPhCnjTmYVzeuyVVn ffWMEc9TZPxRlatOHRMTS1cE5ZrZuPlHJpHrK32viqsWWOd4ldtyzaIiHp7e+L358+dTuRDKzfBE +SjbLF1C3EuUz3xLtnu5EAFyVVRUDLUSftX83s2AN4k8Lu68s5M6JtzIq9yWrZqILl37YlYYJhUl vsXMssqjUaMn1PtA5JA8G3n0QXtXnUNc/HmaCVRzhYt8164wD3eRceE5yW9KCF/SU2zatA1BUd1T h+YrcMB/XL/JsD7PY6hiLGly/2Zb9+IeSUlX1q9fHxcXR8mZrwRMTjAp85CQnypXFE/5lhJBUmXU AXtnZxkff55eBCU/QT9fWWEFzi7kLbb6vEWBzW+GXDLLyqdyDXwLS9GXKFzkU6fNrv0vo6h9W25Y WoQ0FYOC5LQXCuITQkKWlSoh7l5+vn1gs4W7snsHgfmzd3IzkuHCRT5p8qwX8o1MOSPIorZ/A/JG kJOf5OuHyV6qVvMfOdDS4J2eXJcHt6muRmuqvC8WLAyNiIhYtmwZSW++ujNJFQZNsmXe/MW+lYWx J/93P/F5k9aYJ4LCrPIV1JYt2x2kxV+GuH9TPrwm69e1cnWxUKlsY2PPhYeHw3NE8TJg+Y6bRI4l lvLEmz3PlDLldz3FF19+jROjqUVf0fyyaASBkycYBK7n+S2ZmShnjLMt6WlVo0bdbdt2QHXcr/ml zDw1iTw6OtbJ0Y6Q8SzfyJTDB4hGjVtBThKVfP3hgoUhLk7ierQmJ9FSLJRwnKm9GqMZ0EM4Olg2 bdb65MlIM9jMPzKJHFF4eb//f7OfR6IMOXuCZY2aAbgLumqGZr7JlS9evOTg4LZouk1OFCO3N3Yv dAwyZdQhVetmQqtVdeveh1TT5FLmB00i55U+fQZTfD37YrrcucbGs0SZK1eu0uU2g5ysu86HnzZu IB4D73lOvj7Uft9GlX4jhhQIFZA5p8t9W+xwBTpdsaCxk+gimoea66lJ5BA1IuKEWqU6vCO7GkqW lyPVzk5Fjh2LwLEYt4KNV6NSCAzsQhNJ30Ey1EHpcsJwW0cHi7H/ttGXhMbCB3+6fHJTrlpsU95b lPGqEBr606NHOSWV8eJ5700ix1lxKtHj2/5+VcSDa/r69+ktWbO6CAqajEvHw+Rdh6SxXfuOxd1E 9CH1C6Uf8B5ov+upbx7V/UDEHFHpzVZRh0J+7jMwXs3UMVZkdBjvrl178q6fd8QkcvrMHCIQ4r29 fbp+bfEUzd6TcyZae3n7pKenYae5vOLhI0d9/fx9KojYo+qcfF4BliEP77R3dhRTp04P7NCFmyWz i+glb1CKMi3beK9Eq/t1o7Nk2bRpq8hI/RGYmcskcgTLAUFExPGzZ6OKFivxdUuRkqC5f1WW9hRz 5i4wrIYhH/g9vF37zlqtfddAkXJek5sMmfLYryr8zJChIyiCcKohIUudnFzafSGun9Pk3iNbwDoy 5Nlw1ZdNMF71t9/2S0zUH9WZvF6GnFNF6npe4QDC16827A2ebNmxrZWTU7GQkCUTJ81o265zuXI+ Ls5WtC/Cdz4zh5z8RC9DuWWlnaNWDBw49P79eyTGHKZQdNOf8a9Tn+x3Nx2zXGaryD/bePdusvOv QWfSbfz4KcZnTIZdmEFO5k9opgIiJ585c061arUtLa2gq6WFCPAXfbqIn+ZZJ0Rms9rY7rIxp1/S DO5toVHbTZ8+ixWWLFnCSQqnG5yExsTEsODIkUFqte3Qvhb3ruQxWwV/unx8U65YWKScl/DGRS9b YdwPAb955EzA0VFQY5U4c1JcTn51LvLTALFrna2eq/e1ernhsSm0s9vRt+I0P06z9i4tKlXy3b// d+L7nDlzgE0fCVGAmRH0yM3evfvKlq1Uo5o4fQCz1b5gtgr4bOOlsz15lCWty5q1AugTFlDmyjTA //nnn4gL5Ozi9Ok/BgwY5ubmUb6s6N9DrFxgvftnm80riswcZ9GyqaCngYhmBc8Dm1L3caqFzDli IxAo+RVaYEECEMb+zTddHbRi3hRrvRxyma2CP9t4k86q0bKD1qp58zZKZ/Wrr74q4Bk0siLBo7tC W4C+EB2JhQtDmzVvV/H96qVLl/X2rlDrg4979hq0Y8duHD49AdoaSvtr5cqVJ0+ehKvGaSGqBzan WgSg5ctX6XRuLRqJpCi1XoMK4Fy/2cb7x+8qpjk5OR86dJijsYIgR/h8F2dC0gJR6TOTBtD2RAUk YGDAkUIndsQjiqZRo0Zhj4Cn7qPwQcjGsBVVMsJ2WI0V2Gn9+o083MTmFbZZGdoXoq3xFjCoTG3/ bsLPz59sk4M/A3mUG7xi3v+xYJiDuOg5k+vSal6zZg0EpoPBCSZH+RCDtgD9OpJhtEPAZSnzyTzS gDaQBy5NmDBFo1H17SoyL2ef4xhjNtynyajf7Z2dJNkaHzWgKghyZQ7BCEkibQIWyQw4OW+lwQiX oDRIlCQ2r6hzfYs/WQpVYra8cvBgOPSr+r44HvYSs02VkXvtXFwc8a6oNVc5rMgcVuf9iskRXif6 owiqPBp3r9fqRJUIn8QjOTmlV68BWo3FtDHWTzBPQ1dTEftdbdBQC79/fQjNcHT4AWNIGCMxlAr3 j7d7Ycio7JdffiFcbdiwyd295Gcfi0un1DmpToa8dFLtIMXatetxtgEBAdiIsVqRXtWqVQFPL/ot X9gX5/v8rxKYEHvuXOPPvyQNWxNioxd+muTIiYOzFi3apKWl8p802rRpg2cwRo78sReizz910XUk bOG3SfBmzpzt7ORMF6WmL/7c+ptvusDJn3/+eciQIZhVLrYYM+cfvAcVDh9nSxNywYLQWcE/Hj8e gUg5H6GTTHSDy7imfxChmU9j77hfvCsg8RibNm2aPHkyuQTNEwI6W8tFFTNLvf1HeCp8HeQhFvPf scDMDWEIN/J6TuxtbgHBkt7jMPH5uB2sAKrnqm7eJp5X/Rb48flc7zJDXnVTzP8PELK08AplbmRz dHJlYW0KZW5kb2JqCjc1IDAgb2JqCjQxMzgKZW5kb2JqCjY4IDAgb2JqCjw8IC9MZW5ndGggNjkg MCBSIC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9JbWFnZSAvV2lkdGggNzggL0hlaWdodCA2OSAv SW50ZXJwb2xhdGUKdHJ1ZSAvQ29sb3JTcGFjZSA4MiAwIFIgL0ludGVudCAvUGVyY2VwdHVhbCAv Qml0c1BlckNvbXBvbmVudCA4IC9GaWx0ZXIgL0RDVERlY29kZQo+PgpzdHJlYW0K/9j/4AAQSkZJ RgABAQAAAQABAAD/4gLESUNDX1BST0ZJTEUAAQEAAAK0YXBwbAIAAABtbnRyUkdCIFhZWiAH2gAH ABsAAAAAAABhY3NwQVBQTAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA9tYAAQAAAADTLWFwcGxL Ed1mP9Yr/6r07QZakd8sAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAxyWFlaAAABFAAA ABRnWFlaAAABKAAAABRiWFlaAAABPAAAABR3dHB0AAABUAAAABRjaGFkAAABZAAAACxyVFJDAAAB kAAAAA5nVFJDAAABoAAAAA5iVFJDAAABsAAAAA52Y2d0AAABwAAAADBuZGluAAAB8AAAADhkZXNj AAACKAAAAGdjcHJ0AAACkAAAACRYWVogAAAAAAAAb6AAADj1AAADkFhZWiAAAAAAAABimAAAt4gA ABjZWFlaIAAAAAAAACSfAAAPgwAAtsNYWVogAAAAAAAA81EAAQAAAAEW03NmMzIAAAAAAAEMQwAA Bd7///MlAAAHkwAA/ZD///uh///9ogAAA9wAAMBqY3VydgAAAAAAAAABAjMAAGN1cnYAAAAAAAAA AQIzAABjdXJ2AAAAAAAAAAECMwAAdmNndAAAAAAAAAABAAEAAAAAAAAAAQAAAAEAAAAAAAAAAQAA AAEAAAAAAAAAAQAAbmRpbgAAAAAAAAAwAACj1gAAVHwAAEzNAACZmgAAJmYAAA9cAABQDAAAVDkA AjM1AAIzNQACMzVkZXNjAAAAAAAAAA1zUkdCIFByb2ZpbGUAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AHRleHQAAAAAQ29weXJpZ2h0IEFwcGxlLCBJbmMuLCAyMDEwAP/hAEBFeGlmAABNTQAqAAAACAAB h2kABAAAAAEAAAAaAAAAAAACoAIABAAAAAEAAABOoAMABAAAAAEAAABFAAAAAP/bAEMAAwICAgIC AwICAgMDAwMEBwQEBAQECAYGBQcKCQoKCgkJCQsMDw0LCw8MCQkNEg4PEBAREREKDRMUExEUDxER Ef/bAEMBAwMDBAQECAQECBELCQsRERERERERERERERERERERERERERERERERERERERERERERERER EREREREREREREREREf/AABEIAEUATgMBIgACEQEDEQH/xAAfAAABBQEBAQEBAQAAAAAAAAAAAQID BAUGBwgJCgv/xAC1EAACAQMDAgQDBQUEBAAAAX0BAgMABBEFEiExQQYTUWEHInEUMoGRoQgjQrHB FVLR8CQzYnKCCQoWFxgZGiUmJygpKjQ1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2 d3h5eoOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna 4eLj5OXm5+jp6vHy8/T19vf4+fr/xAAfAQADAQEBAQEBAQEBAAAAAAAAAQIDBAUGBwgJCgv/xAC1 EQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEKFiQ0 4SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SFhoeI iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4+Tl5ufo6ery 8/T19vf4+fr/2gAMAwEAAhEDEQA/APvb4pfGjwfDYeL/AIb6N4/i8P8AjOJrHw3aXLwNJ9h1PVkd NOfbj5hv+c+gQ5r56tda0uPwXqPjO6+OP7Vd9pOgxzjUdXsrK2NnIbZpI7mWImzyY0eGXJ7Ad66T 47/sk+E47zx3+0b4o8a6it9p63niuT7JYh9j2cFu1g3lmVRI9qlrc7Msu43b8riup+F/7Nl7pvwp 8c+E7XxL4aXSPidpGoFL208Lm01RW1AzyJJdzfaXW4MS3bKBtTgDkUAc7pmjeG73/hC4dU/ag/aF 0C8+IF7NY6DZazd2VrcXLxQtMzFDZfKhRRtY9S6DqwrHsbvwxfR39+P2hv2nYNIsNWGhnWJ1tEsZ rv8AtBNN8uKX7F8/+kPtzjorN0Fd/wDF/wDZmg8TXNr4/wBe+M934YTwN4fsoNEuFghSz02W0uEu 5bu5MhO9Xe3tdyq0WEgILEMapeCvgZ8IPGPwi8RaH8J/iN4R1DW/EXiBvE03irRIbe6MlwurNqls twscpMscblYiC4JUHBUngA5+eH4fWni2bwPfftifHG11hLzUdPigm1KyX7TPYW9vc3EcTfYcOwiu 4nA/iAfGdpqnpjeHPEV5FZ+D/wBob9pzxJnS7fVbmbSVtZ4rJbi1F3BDM/2IBZ3hZGEYyR5ibsbl z1mpfsT2HjU3V78S/Gy6pqWqy61f31xpunGy+z318NPWG4ssyu0DW402LaSzly7EkAlT1fwl/Z/8 a/BnVIbXwl8S9Pk8M3seny63p95oJkuZ7m1sILFpLadZ1EKSpawMVZJNpVtpw3AB434c1rwZ4gWC 4uf2jv2mdBs7jVrjREvdb+yWdv8AareO6kuELtZYHlCxuQ5PClAO9RWvir4X/YJNU179rL9ofw1a qthcwy67JbWK3Fpezi3t7yPfY827SMqlzgpuBcKCDXsWrfsqabr/AISsfBms+KpJdPh8Ya74nuvL tdjzxapHqUb26nedhRdSOJOcmL7o3cYE37IGs+K/7Nk+K3xG07xM+i22k6PZRR+Hhb28um2V7Ddy x3MTTyCSa4+zxo7Aqihflj5OQDa+Efxu07RLPw38GvEviPxB498d2ct1peralZ6O5Ba1uUt5bqc4 ASEPNGhcdeWxgE179Xxz8HP2cdE8afDTwN4i+GnjSWw8MR+JJ/Fum3eraS0viOxja7ST7LBfLc4j Rkga3k3rKJImG4ZFfY1AHmX7T3/JtnxX/wCxJ1j/ANIpq1tG8WeGvAvwb0nxf4w1u00jRdJ8P21z e3t3IEihjEKZJJ/AADkkgDJIFZP7T3/JtnxX/wCxJ1j/ANIpq+Vv2tzrtw/wATQvG2nN/ZmnrqM3 hS9hjvo7qYQRC1vHsA6TXMcbiVCYd8kTOkioSpzy42vPD4apXpwc5RTair3bS20Tevkm/JlQipSS bsYPx7+OHiv4v69pya3o1jongmK3bxBpuheKLhrKyNlFIqJq+v4+cxtKyi209fmkb5pMFQq8n4Zv vhz4v+KNroPxR8GeGdSGqaNe65beK9I8Far4Qu7RbUI8j+dIQ88JV8iWOTKkAMvzg1ra5qfhf4uf EHwZ408VazD8NfiBpZNrpN3eQRa14Y18o0mwQys0cck8UkkjRpIYp4nY5QkAjoPifpfj/wCFkF7e 6X4N8W/Fbxd4p059Hv8AxXd2qvY6JYuTuihsbb96EyxkMcaZkbBeViBj+ac0z+nmUPbZhWqQzGd4 whF8kIa/Eqr0aj/07knJrlkpNtL6Olh3TdqaTprdvVv5f5/I3tS8UaP8L/BKfEjwZ+2zreieF3XN s+t6na+JtPnwM+XELgNcu3+xHNur0zR/jF+1VollbX2peC/AHxBsJoUmSXS7658P37IwBBMFws8W 7B5Hmpz6V+fEfwm8VXXwf0nxPpEvgo67458GjwxpujaH4KuZteu7myeRbrerMIoHARYbm6J6LGrI rMK+3vhz8UvG2mfCnUfGf7RPg4eB5PDsTPc3TzQmO9gUfLMsEckjQu3yjySzHcwCls8dWf5zxfwj SoqljliJSlbkqOEpOLtyWiv3kru6bUtbJ8q1Fh6OExblzQ5Ulur28/L8D0i1/bJ8IaVhPil8M/iL 4CZeJLi/0F9QsVP/AF9WJnQL7ttr0vwH8bvg98UFB+HnxO8M+IZO8NhqcMsyezRBt6n2IBr4Z0D9 qz4m+IL/AFuDUp/g78PbnS9RNquh+NPEU9nqqQtFHNFJKijblo5kzt6MGXqK6P4bReDP2j9S8Y2P xT+H3wt8Rz+Fry0tbfWvDp+2w3BmtxM3l3TKJFZNyqdrDBz6V7tHxazbA0ZVc8wMWoJOTpz6NpJq LupayW0/PYweU0qkrUJvXuv6/I+j/wBi+3uLT9l/4f213bywTR6c4eOVCjKfPl4IPIr2qvz1+J0H iD4UanbeDf2c/i3430PxUbVtXuLK98QNqWhaJpseTJd3kV8JxGh2lI0RkLt0IVWI+wf2e/iTe/FH 4SeE/FOsqRrF94f02+1I+V5Yaee1imchP4QS547V+o8K8XYDiPCvE4JSja11NJSs72ejas7O2utu 1jzMVhKmHlyzt8iP9p7/AJNr+K//AGJOsf8ApFNXxb+0vb6P4itfHlzqekWWoN4c+CWgaZYfabdJ fs95ez3WySPcDskBWEhhgggYr6E/a4+M3iDwpq2nfCOO/wDDHhHQPFmhXt7qXi/xGi3VukEJSO4t Le1ceXJcFJlYeadm0nCSEFa+atE+A9z8Wtfstd8Iv4z8O+Eprq1ufEXiHxNqE0mo+OUt5UmhQ6fJ hYYVdF2SssRVPlSMIa+X8ReKsDgsM8tqzcJNwk5WailGcZ2vpeU1FxUYcz1vJKKbOnL8LUnL2iV9 /wArfh5mL4z8Pn4PaxF4B8b6Hqes3mvTHytbkudNi0LxjZRpueHXIb6WOFNTiUY+0xYllUCT5iGF O+Hv7Qk/gb4gaN8NfBep6fqFh4ivUsdH8Nf8JjF4ot7aVzhbdNRhjE9m3XasqXEGP+WkQBI+zNd0 DQPFFp/Z3iXQtO1a081Zxb31rHcRB1+621wRuGTg9RXifiHS9P8AHXxvh8F6ToVi2jeBrFbL7CkR hgl1TVInQkiIowEOnrPhlIIa9Uggrx+TcH8SLjTMKWUZrgoVJSg/az2uorSo7fb+GN0k7vSSi+Ve tjMK8FTdalNrXRfp6EvwNtfg5cfE/wAbeKfDsmpaZ451mTzNT8Na4pt7zRlOGmFvAxx5U0wMzyxF kkYg7jgVz37VOqeNNN8YeEp7vQra78IRyxLpM1zMqaZD4iknWK1uNZLEFLOBWMyY3B5VAbB2VufF T9nrxf4Rt7WDVtD1b4meFNMPmac0V2Y/GXhr/b06/Uq16i/882ZZ8DGZulZPh74h+JB4Rum1Py/j h8NLhJLC/vbOxUeINNTG2SDUtNIUXBUZDbFSUYOYm615Wc8LZjw/nVPMMwg60VaNpSdpRS5VGnV0 tLlVlGajPpH2j940o4uniKDpQdnvouvmvXqtPQk0ez+H/wAKtMGm+Ntf1D+0b+SSSy0uPRotQ8T+ KbxmJnvZLYozgyPnltsUSBE3AJmmaL4g8SfCtfEuoW3w8trPxx8Vtdik8JeDhcQmWOOCxtrYz37W 6iKKNDC88zJuC7woZnYVr+FfE/7OPwf+Gr+O/hFZ2esLq86abZx6dM13q+s3x+WKyLykzeYMY2SE CJVJIVVNecyWXiDXPEGv2fiHV3uPEuq+VZ+Pta0qYgadCw3weF9Hk6rIVbdcTDlFZpG+d4lX6/Me I8dxxVjkOCwfssMpLSaak3C3xJWUKcNOZK7b5YRknLTkp4eGBXt5zvLy21/Nvp97GaB4aTxZLc6J DeN4r0rUNVM2v6pImD8QNaibayYH3dGs2ATYDtlZBEuVWVj96/CLwNfeCvDrDWL+S81XUZPtV7K5 6uew7ADpgcADArxz9iDwiuufCPwx8W/EVlYxajq2nhLKzs4BFa6bbRu8cUEEfRERVAA69ySSSfp2 v3bIskw2UYOOEw+vWUtLyls27aLZJJaRilGKSSR4detKrPmkeMfte+D/AAt4n+AHjLVfE3hPQ9fb wtot7r1jBq1p50az29vJIpVlKyRt8uN0bKwBOCK+TrXxh8VPgh8StN8M33io6x4J1Kz8M3y6drTS Xl5Yw6rLJaSPb37MJHjhuUQbJvMOyZfnyMn9AvF3hfR/G/hXWfBfiGB5tL17T59Mvo0kKM8M0bRu Aw5BKseRyK+Nv2rv2R/F+mfDS01f4F6nrPifXNFsX0ttO8R6w91cXdobm1uYRDdSn5Ht57OOREY7 SrzLwWFebxlw5RzzK54SdOMp6crkk2tVzcrezcbpNW1NcHiXQqqadkei+Pfih4U+HUmm2mu/2nd6 jrEjx2GmaRps+o31yI13SOlvCrOY0GCz4wuRk5IrzvwJ8TdAk/aq8Na14f8ADHjGO18Z6W+h62mp +EdSsEtrq23TWFyXngROVkurcnOf3sfYcUvAP7PWv/HHVNQ1vx34q1eG91N1/t7WdBvpLNWRDuj0 2xcfMtjExzngzyAyv/AF9Ytv2DvhnZOslj8UfjFbMpyPK8d3q/yNfDcAeE1Dh+dDNK9af1pJ8yi1 7P3lblty3aXe6u1fyO7MM2liFKkork6dz6Ongt72AxXESSxOOVYZBrw/4qfszaX4k1t/iD4D1i98 JeNkQIuuaYitLcKv3Yr2BsR3sPbbJh1H3JFqZP2UtDRQi/Gz424UYH/FwtQ/+Lpf+GVNE/6LZ8bf /Dhah/8AF1+u4nC0MVRlh8TBThJWaaumuzT0Z5EZOL5ouzPjzxx4P+NWk/HWw8VXfwo0HwxrB8PX 2m6v8RdNhWbTI98tvtvoI2Al/tDyhNDHbyjdumX53iDGvpz9nD4G6fp1jp2v3mkSWWlaarDRdPuJ DLKN7b5LidzzLcSuTJJIeWY9gFA1dV/Yw8C65t/tj4qfGG82MHXz/Hd8+COh5bqK0I/2UNAhjWKL 40/GtEQYVV+IOoAAe3z15mT8PZdlEXHAU+W9le7bsm2o3bb5Y3dlsrmlbEVKrvNjv2KP+TWfh5/2 DX/9Hy17dXN/DnwB4c+FngfR/h74RiuI9H0K2FraLcTtNLtyTl3blmJJJJ9a6SvaMQpk0MVxE8E8 ayRuNrKwyCKKKAINP02w0q2Fpp1pFbwqchI1wKtUUUAFFFFABRRRQAUUUUAf/9kKZW5kc3RyZWFt CmVuZG9iago2OSAwIG9iago1MzAwCmVuZG9iago3NiAwIG9iago8PCAvTGVuZ3RoIDc3IDAgUiAv VHlwZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2UgL1dpZHRoIDU4IC9IZWlnaHQgNjAgL0ludGVy cG9sYXRlCnRydWUgL0NvbG9yU3BhY2UgODUgMCBSIC9JbnRlbnQgL1BlcmNlcHR1YWwgL0JpdHNQ ZXJDb21wb25lbnQgOCAvRmlsdGVyIC9EQ1REZWNvZGUKPj4Kc3RyZWFtCv/Y/+AAEEpGSUYAAQEA AAEAAQAA/+IMWElDQ19QUk9GSUxFAAEBAAAMSExpbm8CEAAAbW50clJHQiBYWVogB84AAgAJAAYA MQAAYWNzcE1TRlQAAAAASUVDIHNSR0IAAAAAAAAAAAAAAAAAAPbWAAEAAAAA0y1IUCAgAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARY3BydAAAAVAAAAAzZGVz YwAAAYQAAABsd3RwdAAAAfAAAAAUYmtwdAAAAgQAAAAUclhZWgAAAhgAAAAUZ1hZWgAAAiwAAAAU YlhZWgAAAkAAAAAUZG1uZAAAAlQAAABwZG1kZAAAAsQAAACIdnVlZAAAA0wAAACGdmlldwAAA9QA AAAkbHVtaQAAA/gAAAAUbWVhcwAABAwAAAAkdGVjaAAABDAAAAAMclRSQwAABDwAAAgMZ1RSQwAA BDwAAAgMYlRSQwAABDwAAAgMdGV4dAAAAABDb3B5cmlnaHQgKGMpIDE5OTggSGV3bGV0dC1QYWNr YXJkIENvbXBhbnkAAGRlc2MAAAAAAAAAEnNSR0IgSUVDNjE5NjYtMi4xAAAAAAAAAAAAAAASc1JH QiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAFhZWiAAAAAAAADzUQABAAAAARbMWFlaIAAAAAAAAAAAAAAAAAAAAABYWVogAAAAAAAA b6IAADj1AAADkFhZWiAAAAAAAABimQAAt4UAABjaWFlaIAAAAAAAACSgAAAPhAAAts9kZXNjAAAA AAAAABZJRUMgaHR0cDovL3d3dy5pZWMuY2gAAAAAAAAAAAAAABZJRUMgaHR0cDovL3d3dy5pZWMu Y2gAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZGVzYwAAAAAA AAAuSUVDIDYxOTY2LTIuMSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAAAAAA AAAuSUVDIDYxOTY2LTIuMSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAAAAAA AAAAAAAAAAAAAAAAAGRlc2MAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBpbiBJ RUM2MTk2Ni0yLjEAAAAAAAAAAAAAACxSZWZlcmVuY2UgVmlld2luZyBDb25kaXRpb24gaW4gSUVD NjE5NjYtMi4xAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB2aWV3AAAAAAATpP4AFF8uABDPFAAD 7cwABBMLAANcngAAAAFYWVogAAAAAABMCVYAUAAAAFcf521lYXMAAAAAAAAAAQAAAAAAAAAAAAAA AAAAAAAAAAKPAAAAAnNpZyAAAAAAQ1JUIGN1cnYAAAAAAAAEAAAAAAUACgAPABQAGQAeACMAKAAt ADIANwA7AEAARQBKAE8AVABZAF4AYwBoAG0AcgB3AHwAgQCGAIsAkACVAJoAnwCkAKkArgCyALcA vADBAMYAywDQANUA2wDgAOUA6wDwAPYA+wEBAQcBDQETARkBHwElASsBMgE4AT4BRQFMAVIBWQFg AWcBbgF1AXwBgwGLAZIBmgGhAakBsQG5AcEByQHRAdkB4QHpAfIB+gIDAgwCFAIdAiYCLwI4AkEC SwJUAl0CZwJxAnoChAKOApgCogKsArYCwQLLAtUC4ALrAvUDAAMLAxYDIQMtAzgDQwNPA1oDZgNy A34DigOWA6IDrgO6A8cD0wPgA+wD+QQGBBMEIAQtBDsESARVBGMEcQR+BIwEmgSoBLYExATTBOEE 8AT+BQ0FHAUrBToFSQVYBWcFdwWGBZYFpgW1BcUF1QXlBfYGBgYWBicGNwZIBlkGagZ7BowGnQav BsAG0QbjBvUHBwcZBysHPQdPB2EHdAeGB5kHrAe/B9IH5Qf4CAsIHwgyCEYIWghuCIIIlgiqCL4I 0gjnCPsJEAklCToJTwlkCXkJjwmkCboJzwnlCfsKEQonCj0KVApqCoEKmAquCsUK3ArzCwsLIgs5 C1ELaQuAC5gLsAvIC+EL+QwSDCoMQwxcDHUMjgynDMAM2QzzDQ0NJg1ADVoNdA2ODakNww3eDfgO Ew4uDkkOZA5/DpsOtg7SDu4PCQ8lD0EPXg96D5YPsw/PD+wQCRAmEEMQYRB+EJsQuRDXEPURExEx EU8RbRGMEaoRyRHoEgcSJhJFEmQShBKjEsMS4xMDEyMTQxNjE4MTpBPFE+UUBhQnFEkUahSLFK0U zhTwFRIVNBVWFXgVmxW9FeAWAxYmFkkWbBaPFrIW1hb6Fx0XQRdlF4kXrhfSF/cYGxhAGGUYihiv GNUY+hkgGUUZaxmRGbcZ3RoEGioaURp3Gp4axRrsGxQbOxtjG4obshvaHAIcKhxSHHscoxzMHPUd Hh1HHXAdmR3DHeweFh5AHmoelB6+HukfEx8+H2kflB+/H+ogFSBBIGwgmCDEIPAhHCFIIXUhoSHO IfsiJyJVIoIiryLdIwojOCNmI5QjwiPwJB8kTSR8JKsk2iUJJTglaCWXJccl9yYnJlcmhya3Jugn GCdJJ3onqyfcKA0oPyhxKKIo1CkGKTgpaymdKdAqAio1KmgqmyrPKwIrNitpK50r0SwFLDksbiyi LNctDC1BLXYtqy3hLhYuTC6CLrcu7i8kL1ovkS/HL/4wNTBsMKQw2zESMUoxgjG6MfIyKjJjMpsy 1DMNM0YzfzO4M/E0KzRlNJ402DUTNU01hzXCNf02NzZyNq426TckN2A3nDfXOBQ4UDiMOMg5BTlC OX85vDn5OjY6dDqyOu87LTtrO6o76DwnPGU8pDzjPSI9YT2hPeA+ID5gPqA+4D8hP2E/oj/iQCNA ZECmQOdBKUFqQaxB7kIwQnJCtUL3QzpDfUPARANER0SKRM5FEkVVRZpF3kYiRmdGq0bwRzVHe0fA SAVIS0iRSNdJHUljSalJ8Eo3Sn1KxEsMS1NLmkviTCpMcky6TQJNSk2TTdxOJU5uTrdPAE9JT5NP 3VAnUHFQu1EGUVBRm1HmUjFSfFLHUxNTX1OqU/ZUQlSPVNtVKFV1VcJWD1ZcVqlW91dEV5JX4Fgv WH1Yy1kaWWlZuFoHWlZaplr1W0VblVvlXDVchlzWXSddeF3JXhpebF69Xw9fYV+zYAVgV2CqYPxh T2GiYfViSWKcYvBjQ2OXY+tkQGSUZOllPWWSZedmPWaSZuhnPWeTZ+loP2iWaOxpQ2maafFqSGqf avdrT2una/9sV2yvbQhtYG25bhJua27Ebx5veG/RcCtwhnDgcTpxlXHwcktypnMBc11zuHQUdHB0 zHUodYV14XY+dpt2+HdWd7N4EXhueMx5KnmJeed6RnqlewR7Y3vCfCF8gXzhfUF9oX4BfmJ+wn8j f4R/5YBHgKiBCoFrgc2CMIKSgvSDV4O6hB2EgITjhUeFq4YOhnKG14c7h5+IBIhpiM6JM4mZif6K ZIrKizCLlov8jGOMyo0xjZiN/45mjs6PNo+ekAaQbpDWkT+RqJIRknqS45NNk7aUIJSKlPSVX5XJ ljSWn5cKl3WX4JhMmLiZJJmQmfyaaJrVm0Kbr5wcnImc951kndKeQJ6unx2fi5/6oGmg2KFHobai JqKWowajdqPmpFakx6U4pammGqaLpv2nbqfgqFKoxKk3qamqHKqPqwKrdavprFys0K1ErbiuLa6h rxavi7AAsHWw6rFgsdayS7LCszizrrQltJy1E7WKtgG2ebbwt2i34LhZuNG5SrnCuju6tbsuu6e8 IbybvRW9j74KvoS+/796v/XAcMDswWfB48JfwtvDWMPUxFHEzsVLxcjGRsbDx0HHv8g9yLzJOsm5 yjjKt8s2y7bMNcy1zTXNtc42zrbPN8+40DnQutE80b7SP9LB00TTxtRJ1MvVTtXR1lXW2Ndc1+DY ZNjo2WzZ8dp22vvbgNwF3IrdEN2W3hzeot8p36/gNuC94UThzOJT4tvjY+Pr5HPk/OWE5g3mlucf 56noMui86Ubp0Opb6uXrcOv77IbtEe2c7ijutO9A78zwWPDl8XLx//KM8xnzp/Q09ML1UPXe9m32 +/eK+Bn4qPk4+cf6V/rn+3f8B/yY/Sn9uv5L/tz/bf///+EATEV4aWYAAE1NACoAAAAIAAGHaQAE AAAAAQAAABoAAAAAAAOgAQADAAAAAQABAACgAgAEAAAAAQAAADqgAwAEAAAAAQAAADwAAAAA/9sA QwADAgICAgIDAgICAwMDAwQHBAQEBAQIBgYFBwoJCgoKCQkJCwwPDQsLDwwJCQ0SDg8QEBEREQoN ExQTERQPERER/9sAQwEDAwMEBAQIBAQIEQsJCxERERERERERERERERERERERERERERERERERERER ERERERERERERERERERERERERERER/8AAEQgAPAA6AwEiAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAA AAAAAAABAgMEBQYHCAkKC//EALUQAAIBAwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQy gZGhCCNCscEVUtHwJDNicoIJChYXGBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVm Z2hpanN0dXZ3eHl6g4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS 09TV1tfY2drh4uPk5ebn6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYH CAkKC//EALURAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1Lw FWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5 eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj 5OXm5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8A+lJLVdV0/wCNfxb+Ivxn+Kml6T4H8W6jaJZe HdbMEMFlbwW7qkcITG7Mjckgc5JABNU1t/Cv/CWaD4Jm+I/7R0Ora5pcWtNG/jPT9lnaSTTRCWR/ PxIv7iSQ+R5v7vDd8V6h8CdLutb0/wCOGkWWrTaXPefEjVoY7yKGKZ4C1vajcElVo2x6MpB7iofC X7HvhrwTr+keINC8b6oslhaPZXdvLpemyQ3UUl5c3cscam3/ANFRmvJowtuYwse1R0zQB5PpmsfD S/Symu/i7+0npcOsx2N3oUt9ryxrrNpd3sFlFdW+MnyxLd25YSBJAkqtswasXdx4Bj8bQfD/AEz4 s/tGaprE+o32m+Xb+LLWJVezmhgmbM8ke4b7iPaE3ORk7eK7R/2N9TGradp0nxT1HUPDOi6Lb6N4 f+1wRDUvDkdtdQ3lv9mkVPKnHm2dkGNxGzFLcDJ3NR4z+B3gX4M2tp8bPEfxW8QW174euLy6v9Qf SLC+n1S61C8t5WWO3Ns2yV5YoIohAqMAQAckmk2krvYDgIPFPwMvdIGs6b+0f8er5DFfD7PbeImk uBc2t5bWLWhiC7vtEk97biNcYcSBtwXBrSnstCs/F+h+AdS8a/tNWXiHWrL+0TYT+LbBZLSDz3g3 yfv8PzGz7YTK2znGeKj+Gnwf/Zg+KGqz6b4b1Xxd4Z8d6XozWtxa6pa/2XrCINSi1C2vvIlj2StD PDGqyqHQriOTdgAezn9nbUZ/Hmh/EzUvi7rt94j0myGnTXdxpGlP9qgFw84UKbb9yfnZN0W1tvUk 81FKtTrQVWlJSi9mndP0a3G007M8p8OeD9L+IvwZ1v4s+C/jL8erKyg0y6vdKm1LxZERdhITIkqr EZMLkYKSbJFKsrIpFfRHwU1XUfEPwa8Ba/rd015qOp+GNOvLu4kxumlkto3dz7liT+NcOvwdsvhX 8NfivqSeJL/WtS8WWF5qWo3FxbW1qjSLZtECsNvHHGrFVBd9u525Y9AOt/Z7/wCSBfDT/sT9K/8A SSKtBHKfsz/8fvxh/wCyoap/6ItK9rr5AT4heJfhz4A+MF/4Nuba01zWvjU3h6xvbmDzorJ7ySwg Nw0ZID+WruwU8FgoPGa+fR+0N+1L8VPDF/pA+Kt1p3hi7kZtMv7TT7e08Q6hbutuIRNPCBFAHa6h I8lBIPMALV4Wa8R5flk+TGTs7X2b3dkvV2dvR3sb0sNUqq8EfbXxp/ax+EvwVuv+Ed1DULjxD4ul C/Z/DOhotzfsWYKhl5CW6FmUb5WQc8Z6V8PfGv8AaP8Ajd8Rrrwl428aS6b4b8E6P4u0bVZPDGnA Tn7Ot0Waa8u2UNI8exG2xqiAsCd3Bqn4W8L6P4c0918LaYjSG7F4hyXlvZGnmaEySMS0jPJDpalm JOL1eeas6n4e0zxL4UvPC7SRz2V1a/ZI5JDtV4XW1hjkY9lzDok7HtHfzH+E1+T514iVsbN4ajDk oN2l1k4vRrsrrt9561DLowXM3eXTse+ftAa78ObLU/CmieIvFF14V8X3FxLd+EvE1taO/wDY9zG0 UfmSygbUgd54YXSQiOUS7W6gj3b4A/GS5+Jegz6d4p0+LSfF+gXTaT4g0xHJW2vEUMTGTy0EqMk0 THrHIAfmRsfHPhzWp/ij8ENF8SanoL+I/E/wpmm0TxVoMqZn1rS5IPs95CU6mSe0ZJ0H/PxAF6qc WPhR41/4RbxNonjPRfFSa7Z2Op2/w91fWVk3DVbGdVuPDupyn/nqPtEVrKTzm5mB+7gcvhZXeS4a ODnVcourKlUi3pTqNt0pw6+zqxtHrefK1vIeaL20nNLW115rqn5p/gfdvxX/AOSW+Mf+wBff+k71 k/s9/wDJAvhp/wBifpX/AKSRVP471aDXfgt4n1a2+5c+G718Hqp+zvkH3BqD9nv/AJIF8NP+xP0r /wBJIq/fzwT5+vvB+reNPgr+0TZeHbY3Gt6V8S77X9JhAyZbux+wXkUY93aAJ/wOvmD4a3enSaR/ ZulaikFpaO0FneP0itpPJls7lvZIn0Oc/wCzZXX9w196/sz/APH78Yf+yoap/wCiLSvi/wCPvw3k /Z4+Ml9DFbRReEtYSbUtNeaMm2WwaR3ljcDqtnNdXCSKOTp+pSEf8e/H5x4jZNPF4KOKor3ob23t 0+53W28r7I9LLqyhPkfUSHybaR4ZrS6s7dlaOS2hBNxbR4ZGiQd5oltiies+hRDrOuSRms7iT7VH pzj5/OQviycFG8xdw6Wrx3Tjd2tL+3kH/Hk2JAsuoMgtVu5bvO0q02LlypiXeZFziUGO1WWRQRHP BZ3gBhnkJ7a1+G9ponh3/hLfit4lsvCGiWoUrNOUtpFHzsqCNsrGQ8rNHH8xjMlzbgSwSKK/nyvi qVG3tHrLRJXbb7JLVvyse+ot7HnWm654m+FPxItvih4S0vVtct7yP7D4m0qKAtfahaJJt+0eUvW8 t5GKzIORMZD9y7Rl9u8W+EfhTr/7PXj/AFz4V2Wi2un+L9Hu9f8A7R0qJY0uLxIjJHcNjGJEkiQk EAqynIBzWBB44ls9KuU+F+iQfD/w1AEE3ibxBYyT6ndfIViSy0xiJXcxptja5aMCOMHY0cZK+d+E fg5dard6othq/jWOx8cyM9xoB1woNcWUgyXV8kSKkaSLuB8hYfNEmFPlosk31OC4BzvN6lHEzX1W rFwa5m+aUIu6dSEfh5Wvcbd2/d5UknHlnj6NJSiveWvom+z6+Z9c+CvF8niz9n/xvcyja0mg3N/s /ufabL7QV/AykfhXof7Pf/JAvhp/2J+lf+kkVcnY/Dm++H/wS8drq93FPqGpaNf3E/lJsjT/AEd8 IqjgKBgAdgAK6z9nv/kgXw0/7E/Sv/SSKv6hPmDy7wZqXxj+EXib4j6fF+zx4n8UWPiDxpea/Yal pesaRHDLBNFAqgrPdRyKwMTZBUVnfGe68f8Axs8HN4W1r9lH4h6dd20632kavb6x4eefS7tAQk6K 19hhhmV42+WSN3RuGNfTfnv6Cjz39BUzhGpFwmrp6NPZrsxptO6PzNEPxz/Zrh1Pw9YeB7G31mW3 xpFleeHb/UrWaVUZYl0u9tdw8o7yotbpo2gDFBK0Sqa2PCnhD4seL/FcviK5+FXjHx7f6TILeXxQ mq6T8su0eaNNimuI47SHduCtGgkZQC0jZr9DdX0zTtds5NP1axhubeUbXRxkEVHoei6T4asV03Q9 Ogs7ZTkRxLgZr5nKOD8qyzGVcfh6d6s/tNJuK7KVr273bb6ts6K2Lq1YKEnoj428V+AfGpuvDOsv 8BvE2k+H7C6+y39hqV5YXcpeRtz3krQTTIYuIWcyYBFn5bfLOTXX/Bzxp4r0iwuPEOgfsyePvE1z eXEhfW5dV0SJ7objhgkl6GTI5weRnFfVExW4iaGeJJI3G1lYZBFRWNta6ZbLZ6faRW8KfdSNcAV9 BRw0KVSpUjvNpv5JR/JL53MHJtJPoeH+NPij8afEvg7XfDlp+yZ46in1XTLiyieTXNB2K0kTIC2L 4nALc4Feo/B/w/qvhL4S+CfCuuwLBqWjeHNP0+8iVw4SaK3jjdQw4OGUjI4NdP57+go89/QV0En/ 2QplbmRzdHJlYW0KZW5kb2JqCjc3IDAgb2JqCjY1NzAKZW5kb2JqCjgwIDAgb2JqCjw8IC9MZW5n dGggODEgMCBSIC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9JbWFnZSAvV2lkdGggNTkgL0hlaWdo dCA2NiAvSW50ZXJwb2xhdGUKdHJ1ZSAvQ29sb3JTcGFjZSAzNiAwIFIgL1NNYXNrIDg2IDAgUiAv Qml0c1BlckNvbXBvbmVudCA4IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0cmVhbQp4Ae2aB1hU xxbHZ2m77O5cVJqCSEcFFA0o9mBXjBqMmliDRh5i7F1jN5GIPGMJYq+AvWHhyTMKKgqiBlERJRYs iCgL7GLBEPf9d29ys1nYuws8je/73v34+ObOzp37mzPnnDkz5yqV/5PXxo0be/bs2eVDvcC2fv16 Tcn26NGjVatW8z/Uq02bNl27dtUExhAWLFigWfNBlRcvXlwR+JtvvtEL+Zv6evv2LdcSFSjj/+vX r8vLy9l6NGDr2duSkhL2Fg1+/eNifyouLtZsyVZW/D9v3rxu3bpp1kPChgAvU1+ZmZmzZ8/G42Vl Zf37979///6cOXN8fHz8/f0XLlwIgNOnTw8ZMgQNbty40blz52bNmvXt21cmk/Xr169FixZohqce PHgQFBTk6+sbEhKiKQFNKq5cbeDx6uvKlSuEkB07dqDDRo0aZWdnA2DGjBlpaWmNGzeOiopKSEgA ycuXL4E6ZcoUjOjq1asvXrxwd3ffu3fvvXv37ty5s3LlyubNmz979gyD4sB0FaoNPEl9AbhOnTr2 9vbnz5/38/O7devWwIEDly9fjtetXbsWIj127Fj79u0vXLjg4OAAThYD04HhjBgxAsby/PlzPGtr a4unoCO6OLn6GgJDkh06dFixYoWLi4uzs3NOTg6AIyMj0f+GDRtYYDRITEyE/LnpZoHDwsIiIiIK CgrQGMxt27aFcnKD4gi1CjUHbtmyJfqEokI3ML8DBgyArKAD7dq1g2s8ceJE69atoQlWVlagQktM vUKh8PT0zMjIYGFYwQIVbS5duqRFqHX73wKGHcGIbt68OXz4cFdXV5QDAwNh+EeOHGFHtGjRogYN GqASKp2VldWkSRPobUBAwKhRoyB/tIF4O3bsWFRUpEWodVtt4Fz1BVldv36d7fPRo0dyufzu3buQ JFeJgXCmBIU/ePAgDBPeA+7l3LlzZ86cuXz5Mp766aefjh49ioIWXsXbagNX7Or91FQDGEJLTk7O yfkF4n0/kJpvqRIwXNCiReGOjg1hX3XqSBwcnFv6BwwZEvLtd5EHDsRnZl4vLJRpdv4uyoYDn0j8 t7NLQ+9GZOVSYycHwfRxJgkHzSIXkpGDSTt/4tSAWFqa1a1r16Rpy76fDpo5c8H2HbtSU9Pz8p68 eaPfuxo+NAOB4+J2icXmc6cYvcqjynImYr7Qs6GRspAqS6lSwShl9OUD6f0r4qRDwrWRRuNDSLcA 0tCVWFsZWVtbeng06dK179ix09ZEbzx1Kvnu3ftweoYTarU0BPjUqSSRSLwu0lRZyiifUfw9vyW1 thTs3mCulFPlU/VfAVU+p8oiqpQzqiEU01/z6JPrkouJopho49kTSVAg8fEi9WwxEdTRya1N2y7B wWHLlq3kvLEWmK5bvcDw8/b2brMnGKloQcXiKZiZ4818fYzLwc9Vsj9x/9khyKiyRD0L+F9AZTnS 62fMD203DZ9Dhg0kzb2Jra3d48ePgcetg7pQ2Xq9wGFjJqHbN8AAGwdTSB9mSC0YQeIeMYT5Zz3X oNIChoBOuCEoGIy3jR8JHjEanhlO2BBmfmA4ebFYmnxIpJKSFoOCCRlm2rm9iQpA6yfDb4tpeqK5 SGiWlHwGLsgQ3eYHHj16Yqd2RFnEVIIkozdTJBKJIO1fYpXqGg6p1VLOhAULfP06YFHOz8/XG8Pz AMOp2tjYxe8wq0S87EtLmM96m/TvbaIsqWxEWmC6bp/TgmyYMFmzZj2YsSWptg7HxOxybkBePJDq NKsiCvFCyDfPSWqkGAq6YbmppVX93Pu5T57Ab7/hYeaR8IKF4b5NicrZ6hIO6mW0c3tjKLPKlfE0 4/+pgP5aQP2bk5B/jMNyD2XmsT4e4OzsWwwjTT8h4lPRYgpHYUEFDzMkeobGz1xMUxPMRSLh2bMp COl5rI8HGPPySe+BwZ8T1Vqg63UFFK4JDhluuUZCRv9yJmQo8W/VEVE0j/XxA584cbK2heDJNYlq FdPFLKdY8rDwYfnja6brca7+Oc3PkljWJuvXb4b16YqN+YGh/55evhHzjPmkV0Bf51EPVyMEGHzN ODCegoKJjjCxtnHExh/WV+melB8YWrFyVbS7MwGSTl8BAAWNjhA1qG9UmvvXBZGHrdKfCiiWVFg6 lldd1qcXGLGEpVXdIzzeGK9+RuX3pPb1BBt/EPEpfKWQWpXF9NxRkUhkfv586tOnT1+9eqXl4vQC o33o6IldP8Z6p1uN8VIF891soaeHUdkT3rnQwqv0Vs6M+IK0bdsVi0hF6zMEOCPjqlQqvHHWnG91 wIKVJa1TW3Bgi7nOlbFSvIqVhTTvuqS2Bdm0eRu2Y1rWZwgwhBwQEDhulECPTSmYyWFmrXyNf+Nx KRXxKq1RMKuXmNjWdcZOXMv6DATet/+QjRWR3Zb+JcjUelchvXdZQqWC0weqEnNqdcLeFtCyfNrM i4wbPxXWV1hYyK19BgJj6XF2abx2mbEem5IzwV+Ydu9kokfhK4XUqiymyYdhfeK0tIua1mcgMLRi 8bcRPp6kHEG4ri0G3iij15IlErHg8smaxZwsfAkzrD/p8HEPTeszHPjhw0cWFrVPHxDq2WKU0D49 TAYFmeiZCy15VnpbSB9lSmoxZNu2WM76DAeGkAcN/qpfL6In+i2iKUfFUongdmrNwiF2CArmh0Um dvau2PfB+sBQJeCUlAsMNbmbLv5LYFZBSd7KaIfWxl+PrHE4BGas+09ok0Zk0uSZ8G9IRlQJGPsX vxYd5kzS8G/YgRbQt/mItTQW5RJ6LM68loUg71rNwiFWyHLV2odA92L6JXiMWbNmde/eHaLmLv4c x5YtMQ52pPS+2r/J6PYo4UdNiFdDMmMckf0i/X1lUQfkPt5Gc6dUV8iYNext1ecbRb9IUxLEjvVJ t26BCMaQqUBijqNFgR8YBlvPzik22lRZxsTHCMUS5rslkevWbW7q49/Mm+RlSX/XFjmNWSOytRHg dXyuW9PWWEjE3iW0NFealiiKmE96dCKODsY4ymMYi02bNuFgfNiwYVUCxoimTZ+Lw4S3cgYb6okT Z7GDxWR9HBDYPYCUY5lTa/WrR9TVyWjFt7wxJ1piCwZ1ktOyxzTzjHlUhFFQL0DigKi2X4v2s2Yv 7NS5m1QqPX78+MWLF5GlxQl/VYFv386BRqUcEzX2IAcOHuFmJzf3AcNYH4sz+93vKZhVS0TOjkYv H1Zw3RiU+jjot3x6O0289UfjoQOIuwtORKXe3n6hoRP37j2IkBg9gxBJH6SikpKSkMGJiYlBbqKq wOind5+BwwYQaG9s3F4OGIXgEWMG9IbfU8d1z2jxHWldG8H2HxFzqk0SFgq1fEYfZEj2bjYN/ZJ4 Nwak0N3de+jQkK1bYyEKzXMJ5MWEQuGhQ4dAi6wfUszp6ekTJkyoktGxeNg61bM1auVLxnw9SRM4 JmZ3IzdSzkWYCmbRDKGPl9GvT+nTm5JjO80mhxG/ZsTK0sTR0T2o35CoqA04VUZSSbMTtoxDQhzT REdHp6amQragRX4BioekZzWAYa2+vn4tPyIODvZY6LnXHTmSgKOMsod/HGWU0pw0vJZgTbe1FtjZ OXTvERQRsSIt7VJpaSn3VMUCfvXy8goNDUWWB9kcYEPI1Vg4NHtetTrazZm0aEY+DRrEbb7mzlsC e1TZEQ79iunuTWYersTNzWV02PikpLN6M0Rc/xCjm5sbkmjIDyNPijQTVjr2LVVaOLgOUcDWqV69 equWmEAHOnYKjI8/vnVbLGVstkepfC/2/hNCBfBF4eGRhnOiW4gU6mpmZoYU6u7du7///vvDhw8j w8upTbWB0Tm2Tp90JfnZ0uGfk/p2xMmBRMw3xboMz/bl58TO3uXChVTNMfKUEahj3pEzhU/A1xpb tmxBOgxfGiCLjQyaZnq0JsAZVzOlEmH2eXPlC6q4K32ZK1X5hxJmcqgRNgtZWTd5CNmfIPw9e/Yg v29tbY3cKDQhJSUFQobXRVYX2Wrk8hCncdE7nqoIDC83d+5cve9iGwR0/GPrxB7FyxmohMjc4kJq Gk8PiGFOnjw5cuTI+vXrI0M9duxY3CJPDbzNmzcj8wtp79u3Dyl1NhOt2RU8htYHHn369LGxsUGC mP/CxE2dOhXZrj+3TjJ6Jx1bJLJu3UbNV3BlCAoTPX36dA8PD7wCHyrExsbCoOAHkBnHJwGoxH8n Jyc0gJdAbhcfVGhhIO/fq1cvrk8UkKBHdh4Zeb0X8vU4B3Nx8cRxjWpFkNFeXUjPwM80e2PLkB6m GFlmS0tLpPjhVK9du/bzzz+vXr168ODBENHQoUPHjBmDsUCA4eHhcA7/VF8VGcAGz1zxFYbXYOvU 1FMV1SfsFEoktW7n5HDP4lQBEQsIwQlamDyS9TCi+Ph4vBdDADnKmHqMCKesnCvgengXBWydatWq c+qAsH0rMnPmfLwCkTbWU0QpmD5M7rRp07BIIV2C2V+zZg048aUKXBYS4vg6BTEDpglarbkovwtO zT6Dg79ycSJ1bWvv3LkLM+vo6Ahrwgcn8KXgPHv2LGIYcGIJQPSCLyigyXCt2LzjJIr7nEmzw3dd hlIhZMUFq4GPiouLwxcRCFSAB22E1W/duhVfF8A6MPVYceBXsWxpOqt3TajVP2YTPmrp0qUwJXwI AY8ESNgLBAvdgLOCnKHPCF0QhPyNnFrY8PD79++HcbNeFOEK7AsxADYpsKb3qaJaYJXeggcyhL3j QzX4K3yuglXsPZtSpWA8lZhuQELOONf6W0yJh03XT9DPD0dFdUH+v95wCfwH0uQi8AplbmRzdHJl YW0KZW5kb2JqCjgxIDAgb2JqCjM1OTAKZW5kb2JqCjYyIDAgb2JqCjw8IC9MZW5ndGggNjMgMCBS IC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9JbWFnZSAvV2lkdGggNjUgL0hlaWdodCA2NCAvSW50 ZXJwb2xhdGUKdHJ1ZSAvQ29sb3JTcGFjZSA4NSAwIFIgL0ludGVudCAvUGVyY2VwdHVhbCAvQml0 c1BlckNvbXBvbmVudCA4IC9GaWx0ZXIgL0RDVERlY29kZQo+PgpzdHJlYW0K/9j/4AAQSkZJRgAB AQAAAQABAAD/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyUkdCIFhZWiAHzgACAAkA BgAxAABhY3NwTVNGVAAAAABJRUMgc1JHQgAAAAAAAAAAAAAAAAAA9tYAAQAAAADTLUhQICAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABFjcHJ0AAABUAAAADNk ZXNjAAABhAAAAGx3dHB0AAAB8AAAABRia3B0AAACBAAAABRyWFlaAAACGAAAABRnWFlaAAACLAAA ABRiWFlaAAACQAAAABRkbW5kAAACVAAAAHBkbWRkAAACxAAAAIh2dWVkAAADTAAAAIZ2aWV3AAAD 1AAAACRsdW1pAAAD+AAAABRtZWFzAAAEDAAAACR0ZWNoAAAEMAAAAAxyVFJDAAAEPAAACAxnVFJD AAAEPAAACAxiVFJDAAAEPAAACAx0ZXh0AAAAAENvcHlyaWdodCAoYykgMTk5OCBIZXdsZXR0LVBh Y2thcmQgQ29tcGFueQAAZGVzYwAAAAAAAAASc1JHQiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAABJz UkdCIElFQzYxOTY2LTIuMQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAWFlaIAAAAAAAAPNRAAEAAAABFsxYWVogAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAA AABvogAAOPUAAAOQWFlaIAAAAAAAAGKZAAC3hQAAGNpYWVogAAAAAAAAJKAAAA+EAAC2z2Rlc2MA AAAAAAAAFklFQyBodHRwOi8vd3d3LmllYy5jaAAAAAAAAAAAAAAAFklFQyBodHRwOi8vd3d3Lmll Yy5jaAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABkZXNjAAAA AAAAAC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAA AAAAAC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAA AAAAAAAAAAAAAAAAAAAAZGVzYwAAAAAAAAAsUmVmZXJlbmNlIFZpZXdpbmcgQ29uZGl0aW9uIGlu IElFQzYxOTY2LTIuMQAAAAAAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBpbiBJ RUM2MTk2Ni0yLjEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHZpZXcAAAAAABOk/gAUXy4AEM8U AAPtzAAEEwsAA1yeAAAAAVhZWiAAAAAAAEwJVgBQAAAAVx/nbWVhcwAAAAAAAAABAAAAAAAAAAAA AAAAAAAAAAAAAo8AAAACc2lnIAAAAABDUlQgY3VydgAAAAAAAAQAAAAABQAKAA8AFAAZAB4AIwAo AC0AMgA3ADsAQABFAEoATwBUAFkAXgBjAGgAbQByAHcAfACBAIYAiwCQAJUAmgCfAKQAqQCuALIA twC8AMEAxgDLANAA1QDbAOAA5QDrAPAA9gD7AQEBBwENARMBGQEfASUBKwEyATgBPgFFAUwBUgFZ AWABZwFuAXUBfAGDAYsBkgGaAaEBqQGxAbkBwQHJAdEB2QHhAekB8gH6AgMCDAIUAh0CJgIvAjgC QQJLAlQCXQJnAnECegKEAo4CmAKiAqwCtgLBAssC1QLgAusC9QMAAwsDFgMhAy0DOANDA08DWgNm A3IDfgOKA5YDogOuA7oDxwPTA+AD7AP5BAYEEwQgBC0EOwRIBFUEYwRxBH4EjASaBKgEtgTEBNME 4QTwBP4FDQUcBSsFOgVJBVgFZwV3BYYFlgWmBbUFxQXVBeUF9gYGBhYGJwY3BkgGWQZqBnsGjAad Bq8GwAbRBuMG9QcHBxkHKwc9B08HYQd0B4YHmQesB78H0gflB/gICwgfCDIIRghaCG4IggiWCKoI vgjSCOcI+wkQCSUJOglPCWQJeQmPCaQJugnPCeUJ+woRCicKPQpUCmoKgQqYCq4KxQrcCvMLCwsi CzkLUQtpC4ALmAuwC8gL4Qv5DBIMKgxDDFwMdQyODKcMwAzZDPMNDQ0mDUANWg10DY4NqQ3DDd4N +A4TDi4OSQ5kDn8Omw62DtIO7g8JDyUPQQ9eD3oPlg+zD88P7BAJECYQQxBhEH4QmxC5ENcQ9RET ETERTxFtEYwRqhHJEegSBxImEkUSZBKEEqMSwxLjEwMTIxNDE2MTgxOkE8UT5RQGFCcUSRRqFIsU rRTOFPAVEhU0FVYVeBWbFb0V4BYDFiYWSRZsFo8WshbWFvoXHRdBF2UXiReuF9IX9xgbGEAYZRiK GK8Y1Rj6GSAZRRlrGZEZtxndGgQaKhpRGncanhrFGuwbFBs7G2MbihuyG9ocAhwqHFIcexyjHMwc 9R0eHUcdcB2ZHcMd7B4WHkAeah6UHr4e6R8THz4faR+UH78f6iAVIEEgbCCYIMQg8CEcIUghdSGh Ic4h+yInIlUigiKvIt0jCiM4I2YjlCPCI/AkHyRNJHwkqyTaJQklOCVoJZclxyX3JicmVyaHJrcm 6CcYJ0kneierJ9woDSg/KHEooijUKQYpOClrKZ0p0CoCKjUqaCqbKs8rAis2K2krnSvRLAUsOSxu LKIs1y0MLUEtdi2rLeEuFi5MLoIuty7uLyQvWi+RL8cv/jA1MGwwpDDbMRIxSjGCMbox8jIqMmMy mzLUMw0zRjN/M7gz8TQrNGU0njTYNRM1TTWHNcI1/TY3NnI2rjbpNyQ3YDecN9c4FDhQOIw4yDkF OUI5fzm8Ofk6Njp0OrI67zstO2s7qjvoPCc8ZTykPOM9Ij1hPaE94D4gPmA+oD7gPyE/YT+iP+JA I0BkQKZA50EpQWpBrEHuQjBCckK1QvdDOkN9Q8BEA0RHRIpEzkUSRVVFmkXeRiJGZ0arRvBHNUd7 R8BIBUhLSJFI10kdSWNJqUnwSjdKfUrESwxLU0uaS+JMKkxyTLpNAk1KTZNN3E4lTm5Ot08AT0lP k0/dUCdQcVC7UQZRUFGbUeZSMVJ8UsdTE1NfU6pT9lRCVI9U21UoVXVVwlYPVlxWqVb3V0RXklfg WC9YfVjLWRpZaVm4WgdaVlqmWvVbRVuVW+VcNVyGXNZdJ114XcleGl5sXr1fD19hX7NgBWBXYKpg /GFPYaJh9WJJYpxi8GNDY5dj62RAZJRk6WU9ZZJl52Y9ZpJm6Gc9Z5Nn6Wg/aJZo7GlDaZpp8WpI ap9q92tPa6dr/2xXbK9tCG1gbbluEm5rbsRvHm94b9FwK3CGcOBxOnGVcfByS3KmcwFzXXO4dBR0 cHTMdSh1hXXhdj52m3b4d1Z3s3gReG54zHkqeYl553pGeqV7BHtje8J8IXyBfOF9QX2hfgF+Yn7C fyN/hH/lgEeAqIEKgWuBzYIwgpKC9INXg7qEHYSAhOOFR4Wrhg6GcobXhzuHn4gEiGmIzokziZmJ /opkisqLMIuWi/yMY4zKjTGNmI3/jmaOzo82j56QBpBukNaRP5GokhGSepLjk02TtpQglIqU9JVf lcmWNJaflwqXdZfgmEyYuJkkmZCZ/JpomtWbQpuvnByciZz3nWSd0p5Anq6fHZ+Ln/qgaaDYoUeh tqImopajBqN2o+akVqTHpTilqaYapoum/adup+CoUqjEqTepqaocqo+rAqt1q+msXKzQrUStuK4t rqGvFq+LsACwdbDqsWCx1rJLssKzOLOutCW0nLUTtYq2AbZ5tvC3aLfguFm40blKucK6O7q1uy67 p7whvJu9Fb2Pvgq+hL7/v3q/9cBwwOzBZ8Hjwl/C28NYw9TEUcTOxUvFyMZGxsPHQce/yD3IvMk6 ybnKOMq3yzbLtsw1zLXNNc21zjbOts83z7jQOdC60TzRvtI/0sHTRNPG1EnUy9VO1dHWVdbY11zX 4Nhk2OjZbNnx2nba+9uA3AXcit0Q3ZbeHN6i3ynfr+A24L3hROHM4lPi2+Nj4+vkc+T85YTmDeaW 5x/nqegy6LzpRunQ6lvq5etw6/vshu0R7ZzuKO6070DvzPBY8OXxcvH/8ozzGfOn9DT0wvVQ9d72 bfb794r4Gfio+Tj5x/pX+uf7d/wH/Jj9Kf26/kv+3P9t////4QBMRXhpZgAATU0AKgAAAAgAAYdp AAQAAAABAAAAGgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAAQaADAAQAAAABAAAAQAAAAAD/ 2wBDAAMCAgICAgMCAgIDAwMDBAcEBAQEBAgGBgUHCgkKCgoJCQkLDA8NCwsPDAkJDRIODxAQERER Cg0TFBMRFA8RERH/2wBDAQMDAwQEBAgEBAgRCwkLERERERERERERERERERERERERERERERERERER ERERERERERERERERERERERERERERERH/wAARCABAAEEDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEA AAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJx FDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNk ZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJ ytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQF BgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMz UvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3 eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna 4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD7u/aD8QfEG18QfDHwR8PvG7eFJvGfiSfT r3Uo9NgvZUhi068ugqRzAoCXt0BOM4ziuKmHj2CXUoH/AG5L1pNH1618M36J4N0pzb6jc+T5EDAQ nDN9ph5+6N/JGDjr/jru/wCFufAPZjd/wmV/tz0z/YepYzXm1j+xj8QNAS41TRvjFaX+s6xe6dr+ snVdGBtZ9Vs9VGpLMiwtHJ5bGW6iId3fY0QD4jAoA0PFWo+NvBV5qOm+Iv239Ygv9LltLeeyh8Ba fcXLy3SyNbxwxR27PNI6wysFjDEBGJAAzUY1rxb5M0s37c2qW0ltaWF9PbXPgTToLqKG9n+z2rvA 9uJFDzDy+V+U/e21vax+zn8SdW8cf8LgHjvw5b+Nbe5sLy2RNJnOmFobS+s5o3Tz/NCyQ3xKsr7k eMH5gSK5JP2FL7Ujb694r+KV1qPiux/slrbWNk7SGO01C5vZrSZpZnkmtZBNBGFdyym1ifJIxQBo ajrPijSrO6v779vG5SGyh1aecr4M0t2RNLcR6gdqwEnyWIDAAk5GM1WtPE/im6h82b9t7xBpzHT7 3VUg1X4cWenzy2tmkb3MscNxao8ios0ZO1TkE4zg45+b/gnndx2up3dj8VH/ALX1fTb+zuHns3e2 STUbK7g1KSOPzAR5881pOQTwbUD+LIf8X/2b/Btl8PbO9+OvxQ8JeCrDw54f1fR9H1LTBc2psbi8 e1kSeFrm4kkdwILiN4gx82O4KYAzkAnufifqNlqN/pd9+3F4qtZdMsf7TvJJ/hZDHBDa7XZZ2may Eflt5UgRt2HKlVJPFdp8MfF3xPs/jT4S8N638YNW8Z+G/FvhfWNUEOr+EodEurWezurGFT5YiilG ftMoIdecKRxg1R+GEvwr+NEXiPXvhj8TvB3jCPUfh9pnhCbSdQsZHjj+ztdsJbu0dkl8iUXYAUhc hThjkUzwB4C174Z/Hv4V+EPEXiY63dW3g3xZMkoMzR2sMmoaU8VrE00kkrRQoyxoZHZtqjJ6AJNP VAfUdFFFMDxb45f8le+AP/Y533/pj1Kvaa8W+OX/ACV74A/9jnff+mPUq3PjN+0l8GPgFpr33xM8 bWmn3AhaeLTYQbi/nQdWS3jBfb6uQEHdhSbSV2B6bXEfFP41/Cr4J6KNf+KXjnS/D9q/ECXMuZ7l v7sMK5klb2RSa+SfHn7W3x1+JurHwT8NbDSvhU2pRxXWht4injfU/E9s2Gf+z7lVmsYJdhPykzuG wSqjmq/w8/Zsl8O/Ea51n4h6ZB43eezuVHi/UdSmm1G+imIDWOp2srPFOoByjx7UHl/6tCefzXib xTyTJoNQl7apZtKLSTt2k9Gunu3u7pXcZJelhcrr1ntZG98RP2xfjT4sl1DTPhN8Lte8DaFZMIb7 xX4h8PS39/aCRN0M8ekRsrtA3P73dIV2nfEMVg+H/wBlFNZ8VR+Nfjf4nb4j6jcWJL3erT3LXlhc t5ZItJEeOKOAFSybYYpIzjDHmvafBPgfw78PNHbw94ThurXTBO08FpLeSzx2u7GY4RIzeXEMZEa4 VcnAGam8X+MfDPgLw9d+KvGGsQaZpdkAZZ5SeWJwqIoyzuxwFRQWYkAAmv504m8Vs/zyp9Vwc3CE nZRgrOV7W2vLmv2k+iXVy+jwuU4egueorvz/AK/Q5Xxv8K9Bu9N07XtA1r/hD/EXhC0I0fxNGVMl lEiANHclzie1ZVxLHIdrDnKsAw4L4A/tMaX8afj98O9avzBDcafoXijw1LNas8ljd3MdxpDGazlc B3t3XBXeAy5KktgMfFfHfjXxx+1jfGzuhqXhb4TQXRiSwgYDUPEMqNgxk8qcEfN96KE8HzZhsj9v +DHwUPhH9pD4Xpq2kW2lWMXgvXbjStJtgViskjudNA6klmYzMzOxLOxLMSTmv3vwj4czvKMrk82r NxqaxpvXkvq3f+91S066tngZviKFar+5W277n3RRRRX62eSfCP7VnxV8Yy/tFaV8G/H/AInT4VeH vsran4J8Z6bZLc3N3cyRNbTA3c37uxdfPaMgISRKP3qb1zU8N/su+I/B2lxeKvCXizTtH+JaxPa6 rqapc3umeKYQ7FBqcFxI8hdwcs6SbkZjtLKAtexftqeDJfiOvw0+H2nwaUmq6/4hu4dOvr+2EyWs 8WmXlwquv8cEvkeRNGch4pX43BSPGf2cfiRc+H9TX4P+Kre706CS4uLXQbe/mMs+k3kHN3oc8jEl 3gz5tu5P761dSM7Dn8C8ZsPnlGEcbgqzdD7VNpOOid9Laq3vNS5k0nJcvKr+9kzoSfJUXvd+v9f1 1PZdG8EaDceCdF8N+JPAvhq2jsVhujpNnbpLp9ldKfMzbhkXAWTLK21T34rqycnJpK8p+M3x70b4 ZRXOh6OtnqfiiO0+2SwXFx5NlpNuTgXeoTAHyYc8KgBlmbCRqxOR/LuGw+MzPEqhQTlKTbtfRX3e r0W1236s+qlKFGPNLRHR/FH4s+FfhPo0eo6/JLc316XTTNJtdrXeoSKu5hGpICooG55XKxxqCzMB XyVPa+Nv2ifE1h4w+Ipkn0pyW8P+H9PkkSKdG43Qn5XWAjh7shZbgZWARQkyPo+Gfh94p+Jfixta 8ZQXniDXNX2YstRtvLknjBDRtewZItrRThotOBOSBJdF3xGPu/4QfBHT/AkR1zXJP7S8Q3f7y4up fmKk9hmv618N/CzD5NCOYZiuau9rrb5Pb0etvitdwj8jmWayrv2dPSP9f1/Vzn/gj+z5aeFo7bxJ 4ttraXU0hSK1tIoljt7GJRhI4o1AVFUcBQABVzxWAP2vfhuAMAeBfEf/AKVaRXtVeLeLP+Tvvhv/ ANiL4k/9K9Ir9qPFPaaKKKAPAP2nvFnhrwJ47+B3i/xlrdro+iad4yuzd392+yCDfo2oou9ugyzK oz3IFfPH7U3if9njx9rQ+Ivwu+LmhajqN3HEviax0O9SXUFS1zJbazZxjlruwIZ2A5ltvNQ52qK/ QRkVxh1DD0IzTHtbWRGSS2iZWBVgUBBB6g1xZhgKOOw08LiFeMvvT3TXmnZrzRdOo4SUon543/7T 3jTUfBr6Bb2kOj+JNLnTSfEXiaK1+2WC3DqrQf2PApJv7q6jeOaGFfljWUGU4XB8m8I+KfhVDr8d trfxG8O6dqcV+b3ydS1hLr+z7vo17f3PK3uqdRvGYbYfJAMjePrmw/YB8EeBtV1jWPhxq1/BJrGq y3dtBdzF4dCtpkRJYLFekQYIFL/f8tUjBCAhvofwB8NPC/w70SLR9E0+FSqjzJSg3SH1Jr4rhLw7 y3IKkq8YqU27qysl56tu/wDLraC0WvNKfbi8wqYhJN6f1/Xn+C8K+Ffxq/Y4+GWmCO2+PPgq51Kb 5rm8fU0Lux5PJ5613v8Aw2R+yv8A9F78F/8Ag0j/AMa9g+zwf88Y/wDvkUfZ4P8AnjH/AN8iv0I8 88f/AOGyP2V/+i9+C/8AwaR/41xmj/Fz4ZfFv9rfwPc/DLxxpHiaLSvA/iBL59NuBMtsZLrStgcj hd2x8eu0+lfSf2eD/njH/wB8inLHGhykaqT6DFADqKKKAP/ZCmVuZHN0cmVhbQplbmRvYmoKNjMg MCBvYmoKNjU0NgplbmRvYmoKNzAgMCBvYmoKPDwgL0xlbmd0aCA3MSAwIFIgL1R5cGUgL1hPYmpl Y3QgL1N1YnR5cGUgL0ltYWdlIC9XaWR0aCA1NyAvSGVpZ2h0IDYxIC9JbnRlcnBvbGF0ZQp0cnVl IC9Db2xvclNwYWNlIDE0IDAgUiAvU01hc2sgODggMCBSIC9CaXRzUGVyQ29tcG9uZW50IDggL0Zp bHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtCngB7VpnUBTb1j0TmNxDRnLOCkZ45ivmdFUMGK6K 6aqYxYyiYgYBBRGQjAEUA5hBQFAwEFSSERVUEASUYBa1vzV21RSFXC/XV+89f3xd1NSZntOnV++9 9tr77CYmJobNZpNf9dDX13/x4gX97WCxWObm5jN+ycPZ2VksFl+4cIGBCnO6uLgw41/w09jYODEx UQ71zz///AVBAtL79++NjIxaA/Xx48e+vr645NmzZ97e3hgEBATs27cPg/z8/Hnz5tXX14M4+JVZ dsqUKQMGDBg4cCA+p02bdvz48XXr1r169Wr48OF9+vTBr3fv3i0sLMSFX79+xSU4tm7disk4MKe8 vJw5Kf9sPdRTp05pamp++vTp0KFDcARWmDNnzuLFizFITU1t27ZtdXW1gYEBAODM58+fr127hplq amoAef369cDAwP79+5eVlWlpaSUlJcF3ffv2ZS788uULg2fo0KFLly7NysrKzMx89+4dc1L+2Xqo 27dvB5OvXr06ffp0qMTLly+Bc9myZVgqLS2tY8eONTU1CMl79+7JF4dlzMzMamtrcSY8PHzIkCGA ampqCtsGBwd37dr14sWLuFAO1dHRcdy4cf7+/iUlJfJF5IPWQ50wYULnzp3/+OMPuM/KygrwXF1d V6xYgaUuXbrUIlTcEcAYeWGgPn/+XEVFpUOHDra2tufPn8/IyGgKdfTo0fD+6tWrCwoK5Ajlg1ZC /fjxY6dOnU6fPq2srAzfAaGnp+eaNWtgYSwVHx+PW8NWsOrDhw/li38PFVZFaNy8efPNmzeYlpyc jGXl80FRPJH8a7NBK6E+ePAAlsTksWPHnjlzJiYmZsyYMWCjjo7OyJEjYbqdO3fiVz09vZ49ew4a NGjVqlW4UWlpKVjNWDUsLGzw4MGAamJigodiYKSnp0skEoQejqNHj8JllpaWuBxMqKqq+jmodXV1 t27dwrVPnz4F4eVf79+/f/jwYQQCfkIoZWdnI1Jgqxs3buDMhw8fcnNzEYkYV1ZW3r59G97BmcbG RpzBAdG4fPky5uPAcxUXF4NXGOMT1zJz5J+ttKp8/v9w8GOoe/bsuXLlCuDBkpCmJ0+eMFChwxs2 bMAYYjt16lQ43cnJCZoQHR0NVuA87IzowABuhd0wSEhIQLxjgHUgSlCDhQsXwsJBQUE4ifWhJwg0 /DTs24EJu3btwo369euHWINH4Iu/SgG4XFtbe+bMmVgKnoJmQrExxgGRxOVv375t37497gjZDA0N bWhowBhUxGTwGVqEmRCfWbNmYQCirly5EgPcDokD+PFQcDSXy0VaB3kQklBCSO6CBQsQpAAJOiEK Dhw4gGngD8jzV1BhB6hKly5doO0IWCxVVFSEe+HAvcB8rGZhYYGvSDeYAHZBGUQiEeqKc+fOQdPw E1YAeAgsRVEIcMxE4Li5uSHSMR8uQ1hhAlbGTHAVl0RERMC2GOBwcHCASDKB+QMCILRxFTwLuWae uilUaCCet1evXlgwJSUFD4K0C7shKcDgoARuhyhGFsPDInsCCewMkkBJJk2ahJlIDVCA3r17I+HC jFgBOoPVQkJC4AIZ0G/BOHv2bBgTBgeGFq0KWiopKSEV4l5YDb6GARHvzAqw6ogRI5D61dXVHz16 hJNz586FSXEgjyOWYUPoD1IDmAaZQpqDvnXr1g3kBCr5OmAvToKEwIY5zFJNoTK3A70nT56McYtQ PTw8cBdoOBIHClrQCbQBZlB+/fr1WA1IcC3IifPwERYBgZHBYSKcP3jwINzt5eWFHIGEi5QEhsDO gG1jY9OjRw+sg+eCO+zs7DAfegubMPUDnAi/4CQSLmIWSt6uXbv9+/fja4tQoaLyRAxTYIygRoSe PXsWbEd+hEmxGg4ECAIfkQUHwVzQBOb8nTt3UA8wX5nCAEhgN1zOrAOfIhdgcWY+iAq5xhjEzsvL wwDERl7D4oxu/4CrzAq/zuevALWkpPTAgcNeXrsrKip+YJn/FdSqqupz5y64urp17tJTTU3R3IS0 NSdaWnoem7ZDGwEYwCDU8hTMnGmRqz94up/+6fXr11evXt+yZaeDwzBU6bpaZGh/smsz69ZFwcdy qrGSiglRsLUmunpGnp6+1dU1SCVIUqA3khFuCh3+j0L99KmxqOhOYGDYKMdJ+gYmGuqcHvbEfRlJ P8mveyih6yi6QUq/ouiqb38N1IfnVOQerpUZMTIy9/cPgoVRVUIoENfQ4f8E1NLSJ7Gxx6bPmG9p 1V5NVQBbzZ9BEvYrPC8S0y8p+rWUrqXoaop+8d0fMDdQH59Tobu41mYEiSMnJxcij2SEHRNqTqRs xq3Q4Z/escICiYnJy5av62LXS01NycSQTBxNIv05xVmir4AEePUUXfMdtqZoGdu+pCoKJfUlkvQE UScboqKiFBt7GKKHbKioqBgVFcVscP4pVAj7tWvZW7f59O03XFNTS0eLDOlHfDaxbqQK3j+TwD6y P5gRGJpCanFcRb0pkXx+Tr0up/YHCHp15axZzFXgEooSurjMgwLHxcWhYABUZofbGqiIytu37wYF h48eM9nA0FRDjdPdjqxdStLi+bUM/WBAhn4tQmp2EjTA4+BZ3kjjQoWjhnBP7Rd2bs/S0QRI6dy5 LpmZV5AskMpR4SAYT548KScAU/V9H+ZPnjw9cuT4zFkLrKw7qqkKbayIy3QSH61QXvh39GuGjfnK 2Lmaqrkr2b2F/7WGSj0h2rGO36srS1MdTldZuNA1JycH9Yy7uztcD7ToMBgaGqKcY7ChhFu+fLkc J9J3cnLqipXudva91dWUjQ3JBEcS7sd5cF30pbJ19GsR5wvqS4WMGI0VVNU9SYe27OXzePu8FeBT XV31RYtXZV1P2b5tQ+fO3d3d16NYRUWB4hYJt6kCoJyA9gIqtr2jRo3S0tKmxGTkYOLtQXJT/jn9 muKEGZmYqqE+lVMDfuNePSsqvCT+fRB321ouQLZp02blyrXZWakZqRsj9uj7bSETRhENdUl09AHI FEp31Jxod8gJAN4CLaB6enrJLlfHHyt2n5D+9C1+WxMdTeHJx1XUxzJZXEOjGh5JCq6I/bbwTQzZ flu5bBZR19B2c9uQm516OcU9xFcnNpjER/Ly08RZiaKRg9kiIdvXdxd2Adi/SKVSwENdBISAh/4S Bvjq5+evrCQy0idKUtbCWbx3ZZRMDOV3b80Asc+IZz31MEusrcnKOC16XigxMmDDkkI+UVXVdV+/ +WZuavoFt32+WhG7yc0UQdUdSUK0sLsdx9Odx+eBt5KlS10BFbGPMhgC26JYJSenGBsbGeoSTQ1W 726cB9liWbS2BiTmVFO3M8R1xTJLPrguri6WeLrz9XRYu7dylRWJmrqBh8f2WzdT05NWRfhrHgok xdeF0KgJjtzM06J+vTgd2xEFBd5UZ+fLlzNQoqM7BBEASbCNgiVxwKrNUgDyTt9+A7Q0iKUZS1+H lbBfKEPbYqIBPJgRf99w0u+kIwdzwckvDdK1S3jQyRBfmbs12hhv3uKVdys19fyyYB/1cF8S5MV7 +4TKvSA6HiEc1p9j35EI+Kxhw0YnJV1APwG1OiIdjR1sZ5oqAKCi8cjAZj5RJLx8Wbdg4TJVZWLX kaipsNa58hpBWihnM/PWUPeuiktyxMjsL+9JLp0Rld4UG+iyl87m+WzkYGUdHdMdnr75t1JTzi6J 3KN2JITczRQ+y5foarNiggWZZ0RSiujrkH91dUiIP3ExJRqbsl69HFDMw/WxsbEo5rFrlosVdkbM xgebKXSiZs2abWlpNnF83w/vn4SGHdRQl3btTPS0WUP7c8uKJLJEKUcL8K+l65byECz1T6miDLGU Yh2PFC6YwQJIQyMLHx+/gryUC6cXBO1UObiXuM7lludL7l0RB/sKjoQKoTOoA21tO0ZEHCi8FR8X 3S/Ii+WxkmWoR6ZMnYaSDP3P3bt3Yyt37NgxxobYETPb0iVLluIWYL61ObmfxaFrTWk6PfPKTQsL q/ZtSScbtpkxO+2kSFYafUMr08ka6tUjiZUZ29lJoapU0qsrFiDmFta7/QIK8pKTT7tE+isfDSV3 MoTvyyiwcfJYhdIbYg1VYm5MDA1NvL0D7hQmJhweF+ylsGwu2b2ZH+UvGOQgcwcSK5oAfn5+TFjJ EyvTYcB2xszUDDhNjdiD+3Ir7/LpOind6Ff+vGLwkFGQhQG/sVVVWFfOimS2rZduWcOfPlGB/ihN jhNicVUlYm1ts2dPUGF+8vmE2cHeioE7yOLZ3IZH1ONs8cpFvMc5EASC2klHp43b2s0FeReTTs5x WyIK8SZnDwlDvAX/6sSZMk72sOjEwOnYwfn4+GATDSYwVsVP8rB6/LjE3r4bHrmdJbudJafgspCu 59Jvpn36+GL5yo0aamx1VWJrzW4opei3Uui5UCATbbjMxrZDQEBIYX5SypkZIb7UsTBSkit6kieB jGxcwX9XTpkaseAaDXVqzlzXG7lpV9Pc/LepxoWQTat40Kj4KCHIoKdNzMxtsCUHRZH9YVLEPopA UFcOlbEq8xX1zO8jRhvokh72bB1N9rnDCH+QwZ6miw4eildWVsWjISeW3Zd4rGAJ+MTcsnNgUHhR fuKZ487B3pI5U8jpA4J3FdTZGGHeZXFuilhJkfw+iKiqKIwd55yZkZKVsXPHer2JjiQ7SRDhJ4Ax xwzjaLfBzkVjy9YdoCJaXnjvgJoK2wH0WJomVty62csg5AKXeYtRQgxyYCP8A70EdB2frtGkvx67 cbOofftOuERJSiyt7ENCI+/ePn/uxORAT9HJaFJRKJ40WsHanP3+BeXrwTcxYK1cyBIJSR+H3xMT zxXdCgvzb/vN3TytNqx93oLU40IuBwLOnzlrTu6NG2hdwuORkZGgIiphyH6zbSBqbKZBBI2CwSdN muzk5FhbW7lt2y41FQ7SHPLsMhfe5yoRXSOgP6ytriqb6+K6LyTiRdm5K8kTVy8S7N1BHueKIFkp x0QNJZSNFXv6BAVGrGzb9zh69FhhXlz4nu4DfiPxUQrxkUIfD/6xCCHIg6pv4KBBqI7QKMC7GzRA 0HtBKwMBxbi4GVR04dBWwk/MSwqYy1ifVNxHD7w4KvqomqrEcQgxNmA7DuXWlkjoVxy6fiRNn6bf T6p/KCnL48ybrmBhwn5fThVcEsOA8PuG5bIQNjZpGxYeUXz3bNz+Yf5b2YmHuXYdOc7jvymAGjEx QAxaR0UfRKcRZkSuh+CjgwHBZEC2CBXLopmDn9AJsWln295aFlN9upPKB/o0nXkh+QramMMHkC4d OHYdOA9vAK2AruTTlTxZRngtrb4vgeqCvV/fIFXJ3tXq6el77fS9U5hyKHKK00ju8XDWyWghkhd0 ADtW7Ee0tdQ2emwFFU+cOAFaogeO1hPaLEyi/zFUeWkN49vbd0cJ3cmWg31cca4STR/JL3hgYdmu bw8CBYPaPyuQyDJprTTERxCwXUB/kSYfFcGeXTqgqFNZ47auIC89+cySIC/FgG1EIiZwd30pBb8M 7ENUlBWmTJmJRhAcjeIZYY6iFM3Dpnv/H0OVixWmobTu128wtrq/deNAS3OSeTTtVVZe0aNnfxgE UP8YoyDLAvXSUF8B+BYXJpg4iohEgqnO87Kz0uJiNnlt1Iz2J2G7+PeviqFCoPrqxQhP0qNnX6R4 4Ny7dy+Yie0z3jIgQJpiazZuxlW4rClUTEZSG+XoZGpIUEhAB5LiCE3Pb2h46eTkzGIRNpucjxXS jVLUTgBACGvY8PHpacm51wIiA0yhyXYdSG2xZOkcXp8enPj9fLGQ6Ombh0dEwePom8GYKJVRh2A7 yeSgZvCafv1bqJiMGJw27U+oK8imqsw6GEjoxhGfP1cuX7EO4NpasFYsYqGu69NnQHzCqbzcg5GB nXdtkgV4WrxIUcrau0OQniBLYRSlvH79RoAEPLw8gryj44cK/3taNkUoH7cGKiZ//fplyZIVEOdp 42VofTcR+h36osV+fvvYHJ6xSaeoqJjiuwnTp/YBq5PjuEdDhUb67Bd3JHu28QFSSZGDTml2dg4q TwQ4dh9oraNa/itayuE1HXwPFf3nphOajjdv3qGhxpozBUxgr15I6DojbMJycm7WVZ2vezr+fCzP dyMLO/dDgQKoQf/eHAiIsQGs7ZB0IRmpBwU8esjYtTHS3XTlVo6b/T8A3hTgXfP3B8SkpqYaFYiq Mnf+dI6hHnvWJNJYrUW/c6JfqhRf4xRdFn2uptYvk22aDobxrUyJvr5JYGAIGr94xYnONlrc8Dv6 zyjksNr3t/jxGegYXptiNea5Fi1ahNcKeN3c4oFtF7xw4ECMirJo3jS2Vht2sBePbuDRrym3xby2 FuxPVdTVs0KU+gIBhe0nangU8HibiTIDC+LdCl4o4PVEi4u35iQa9aC63AXgD141tnggfTDsSkg4 pY6ulAHR1WKBkKgDK4okEKLuXUBL1vjxE9Bvxzt9JHG8pMNGHkKEGG9xzX90ktmryqG2cpCWlq6h oYmQcZ3Le1tFBezgKlKkY6eueAqUbdiyoWxDnYlm44/VspW3+zenwb/gOeII+tmmja6/fwBeVaD0 RX4EGzFG2/lv1fLfxND6y/HqpIud/ezZ81FdMIU6hB05CGnu55zV+lv/xEymSIP+QDNBUXSWQL+f WOe/dgkyDjD/I0n/r2H7/xu13gL/B3JsAPsKZW5kc3RyZWFtCmVuZG9iago3MSAwIG9iago1MDE0 CmVuZG9iago2NiAwIG9iago8PCAvTGVuZ3RoIDY3IDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlw ZSAvSW1hZ2UgL1dpZHRoIDY2IC9IZWlnaHQgNjQgL0ludGVycG9sYXRlCnRydWUgL0NvbG9yU3Bh Y2UgMzYgMCBSIC9TTWFzayA5MCAwIFIgL0JpdHNQZXJDb21wb25lbnQgOCAvRmlsdGVyIC9GbGF0 ZURlY29kZQo+PgpzdHJlYW0KeAHtmndUVNcWxg+gwsDcoRgLggqK2KJYYkuMRmM00ViehWdbllii oEnEgkYMamwxdhM1FlQsJBpFxRbBitjADhZsWEERlWZJTHi/yVnvrlkzw4UkvMQ/3l2zZp25c+85 +9tn72+Xe/Py/n+8ihqIjo6eMGHC2Ff7+Oqrrx4/fqyhvjZt2pQrV65Vq1bvvqrH22+/LYSIjY3V QIHsISEhGhf8439lZWWVKVPm4MGDGpKwC+PGjdO44B//6+HDh6VLly4qFDExMf379+/Ro8eWLVt+ /fXXL7/8sk+fPoGBgSdOnJBIUdrixYvlODk5ediwYQMHDlywYAHnr1+/jm2/fPmSf5cuXXrkyJHs 7Gy05+/vv2bNGm1FFSGKDRs2oJApU6YgzPTp03/++Wd3d/fhw4cHBAR4eHikpaUhSVRUVLFixa5c ucJ4x44drq6uXFynTp0BAwZg1V5eXr/99ht/tWjRYsmSJZhx8+bNV61a9behQId+fn7z5s1Tlfbs 2TNvb++4uLgbN264uLhcu3aNv3r16lW+fPnJkydLFHXr1mWwevVqBtgD18fHx585c6ZJkyYrV64c M2ZM06ZNMzMz1TnzGxTVXrCWp6entJzPPvvsww8/vHTpUtWqVatVq4bfTZw4ESVjM7Vr196+fTvK Z6cgcPaiZ8+eFStWnDt3LvI7ODjUr1+/QYMGBoNhxYoVGRkZmFPlypV/+OGH/OSX54sKBVIhM1pl WmzDzc3t6NGjQMAeGjZsiOVzHuMB0fjx43U63b59+1A+BP7NN99Irzxw4AAz5Obm/vLLL61bt5a3 cNfatWsx1PT0dCmw1e+iQsHkc+bMQcjly5cjuaIo7EuFChUOHz6ckJBQsmRJQL3++uuffvrpt99+ 26VLl06dOu3evRuxValgBvwCbXDmnXfe4TKQ4uYLFy7kPHKqV1oOihAFNsOi77//fvv27fHNnJwc DPvChQssimK/+OILLA3a4Sc+EhQUhMuQEkh35uTFixdhJDaC8axZs9ign3766YMPPujcubPcLM7n dxQhivyW+BvO/+9QzJw58969e38DBJYoKhS3b98m0mHD2PPWrVuJCO+9916tWrVkaJCxzBTRnTt3 4+KO4uIXLlx88eKF6V9/YvzXURDOBg0aBClBOIQMXJgBbu7o6EiGRgjArxFMFXXPnphW77Xn+pJu NqVeE87ODr6+tadP/1q6jOomfwjLX0SB8/r4+NSrV49A/OjRI3jy+fPnT548+fjjj4EgD3g1IiIC 8mFHRo4KdnS069dDHNhmn5rklJGsTzriOGeKrZenqFuvETkJwltuXIGI/gqKu3fvErC6dev29OlT hLxz5w77Asns3LmTqCfJCobp2rUr2dTNmzdHjhrr5iL2RjrkZRvynih5D5W8dCUvQ8nLMTy8qu/Q WlSqXANXkrMVKLnpBX8aBdJSd7z55pson1wONSIndQqGQRzHfshA2B3i9cmTJ1ll587dxYvZHNqm Q+a8+4r5J0N5dk95w09079GXCe/fvy8p11RUjXEhUVDnmU1CaMBUYH6kvXz5MsZPCoEvP3jwAFBg YV9OnTr1448/4vJgadyk5bABNnm51iBIUJnK8d06nYN9wslTTEiwLrxpFQYFiSWJECgwm1u3bl+6 lJyamkZI2rNnDyeR8NixY0C4desWkY6l8VAO0KFScHHB+fOJit4+8ZAu75HFLpjuS4bSoI4InTiN ebjdTG8aPwtEgTxRUdsSEk6OGxdataqfq6uzi4uOjKJxkxaLlyzHeHCH48ePk7ji2lysrkV9AWrM gzMRERu9yosXd5S8B5oosg3DB4qu3fpERka+9dZbZFzMrE6oMSgQBfeidU9Pb78aYsEM2xPRDpeO OsZudwgdI8qXE3XqNETP2D8HYue30IKF3/nVFEZfLgjFpDGiRYt26ITdx+lIbps1a0aiyMymKjJb qEAUUVHbSZhDR9u9SFOM3IJJwCqPjcSSflXv30G4u3tdvXoVA0DzZpOrP1etXu/jLV7eKxjFsAGi 0796goIcEs2cPXuWAorQM2PGDGZjCatYtFHApW4ly00cbWckFjRpasOMM5SX6coHLUWzZq2hR7wg PyAnT55SFLvr8Y5GDZhNYvozw0hTU6Z+Tekxf/58ksCUlBT0s3nzZjTJGYCwkKocdaCNImjkuNrV xS+YgSUEufojJeWUk5Oj2LZtB0wLEKvEAvFWq1Z30hhbLY56opyAo3T28fEJ3/1+wBiED6aFddet W1eiRAlIG8nJdlT55UADBUqoUNF3xTw7oyGZasxsnG3o3kn06PERk0OtcKzVTad6dtSJi0cc87Ks bUeG8jzVSFC9eg8gRaftEB4ezgD5UYvkK6rdtm3bUr9I2scN1YU0UFy8eMnZ2T75aEFmkGVYNse2 Rs3616/fIA/BCK0GLITp2q1XpYoiESBEDfyLLeZDBM82PL6h79zWGLvxiEWLFpEPk1LKXUDbxA5A Ac3Gxoaspm/fvkAgz4EAJaVooDh8+EipkiL9olO+5iQ3JVOJWlu8opcPoYrqMikpSarObNP5mZOT 7e/fy8VZTBhtkxTnmJOif3pLf/OM09K5xXy8jHSH3oiSkyZNWrZsGWEU75baRgMEWZonMjHr0KED f9FkILBKT9RAEZ9wys3V9u45J6O6zKzI9GeWsm6xnW/V2qCg10QEJHZbQpBnUN3KVeF+fo1cnB08 3EUFT+HqauflXXXy5Ok48vfffw/BUomTifFTTYPlvfg4hTBAaIyQM5BhJiYmEqT4VwPFgwfpbm6v 7dtsb8zcTMU2G+cYhg8Qbdt1PXfuHK2MQ4cOkU2pFmsGR9o5ME+fPhMZGbVxY2RsbNyVK1fpoXHv 1KlT0QNNEhRC+LachFKdplCVKlXYcapaal6pMQ0UCNC6Tcc+/sJ6/iaxpCvZKfpyZcSKsHA6ZrNn z4YeNVAwJ8aMJZA9QgWEs40bN6J8bkR+9mL//v1EHyhCGrypEuQZLqARxL1AhpBln1wbRUzM3uLF bI/s1OVlW9sOfDPXMPYTWw/PymiPfImNpolkurTVMcbM6lwMc6JP+iTsBWGOFhZcjVtZ7oLpPHg9 qwCH/EQux7d2n3bI0E/cS4szB38nFhwEydkFvgnfWcq3M4pD4/v27SdxrV69OmUFrVdaOps2bcJB rEYoU3nQOTkkwrM1qamp+QVN9ZZr166Hha0ZH/Jl8NiJy5evPp+YKPFq7wW3YwD9+g1yMYjpE2xv nnX6Dfnh9rvKiRidf0ehKIaIiB/wMoIFBZHkEL5JF2nuYbR4qGUcRHLotF27dtSzXEmHkKNUqVJU u0OHDsWzVLHVAQTer99gZ2dnuPrdZqJVc1GlknA26GFvbABtMIN2wwctrVixsopvLVcXm5rVRIO6 gqmcnZ3atut84kQ8Og8NDaUhTGXRqFEjCYRm7K5du9AtSuBQheFighdFN3XukCFDYGYY9fz58+RL 9NBoW1EhkgG2bNmSwM1dUtVnz56DxxrWFXs22z+7qxjZ5onyc6pyeKfDu01FWffyx44dJ92iWFAX shxQchJ0UOz+A4cWLV7+9dcLVq9eT2okAwT0TpOZDIGAhWPSNyAX/fzzzyGTxo0bw/PU5uwUyTZd EaiS+EtwRHvsEd6BkWNRcA7fXMYZEHXv3l2v17NfCAMVkEL07CyepSp5mf81aWnVT5SXD5WA/jZl y1bE3zFLDZvkWdKIESOgPuwcnyKS0r0MCwuD66BHmttwI0uzFyyKhLT48FCi0qhRo+gVAwfl4308 2sCFoRog4Nqsy0bg3bJOxNM5wzeFFQsxLaksRhIYOIKsnvzEethKNwJp2ohStx+LYnj5AUGH6rMk mhv0sWGSbeR/O3YAiqXRJzuFbiUZwhichELZGjQJHCgIX0A2bkTnYOEM1sVfyEydhQYIxxzcyy1c jB2imYSEkwZn1z0b7I27YBan1J9PlCM7HEhJqXQwzvxKXdMnYkDA8vECtp5sDalQLPBVbpRAkAQn Rc9Mi9i4v5Qc4TnJVnIGUREbaNzOXRxMwjfagBPkY4vwNRE0eQooEh8oL9MU38pi8ZIVp0+fZkXm tPQLUxTU4KCAT5CNJAHgrGt2C8KwuagXAiRn4xoMHp0jOfEd62XfZZ/E8l51KqmWkaNC2rwjCkge 2JRMhUbQZyPGYQN0A1hR1ao6oYoCFREUJAtRFyMkDm4VOOKpmW1mZtbVq9eSk69wPec5+MtyFXU5 08HQgCByXevJvGpRDLKUbu1FQOAodpkEAPWqq6uzqSjAiJ9SduGqHTt2pJRB4ejZ8hZ57+HDcf7+ fTw8vF1d9a6uTu7lKnTs+O/o6L3qzAUOJk2e0eQNUUDnBBSPlCb1xdSps3gIAi1g6maZJAupKLAi njhwJTQIn+MayI9vYjZmuuX86NFjnRxL/Kud2BBW/NwhXWKsLnJN8Z5dhJOj7cdDhsk0w+wuS1DR MfvI5NMSNfPqh8q9807OBhv0Q0SAPDFd0yAlp1VRqAAHDx5M2MW8kR8sOKlpgEa2wYMDX3MTe350 MBoD9EJNxIdBtiFul87TXXTv3gek5NUYmKXw6pmnT3MpnSYHa5a6uYaQINvqNeoRxGkywDzaeyEn Bya8RHglQ+YRHn7BGVMU4eFrHexFfLSj9WQ4W7kQ56g4iUWLlnIvStAGsnbtevsS4tjufFqjuYaD W3UliovISKrDrdOmTSOFI/5aGrm6FxIFO4LYBAgeuGNahH5oX9Ue6vX2rj51nJ1WoyDXMH9KMU9P n7TUNPgBnWibVkDAJ7Spo9Y7GMkqy2BMRPnQDXisbFxpb1BESMhEhEce0nsyGbzVckIzFFwAUql8 MnyesJP5EN/ZSvgzJmY/lnw/qQBLfpSsx+S2btuBBrAE1VZVbZgOWGv8+FC9k65NC7Fsnl3sdvvY KPvFs+1avCUMBmXWrLmwN4RDRKbgJZmRBaDpDIzNUMh/wcKOcGAVBDJSO940oHKZOXP+m4VhlcdK 8ybii9BpxCnqC0t+MJVBKjYp6cLAgcOqVKlVqhQil6leve6w4aMI7swA58CcvKsA50CkpuatzmMV Bf8yuYxuRGoMDGcnfxgaMLLLh4ViePqKAYEjiek8SoPorC6tygBM2rZEHJiECvfy5WRZZMFIqI6D PBPmB0J+eVR+KOQSWBeGRNTAwsESNHI83UKttEdGq0wF8wgODoUfoEfu1TAqHIdcjofjGDwZ8t69 e/EC5CfppVvCmwnkbNQXlMxy11TspgNtFFzJvWgALHyHrVzjXUG8oAqQVaFphFXHD5Tnt5UKHiI8 PAIZqDLYTeahkOGVGDlWBaA9SNrDawzkXWw9WyAzGQyJfeQbp8AXSIpITdW7LAcFopC3SD2kpNzU 6w3RG+210oYsZftae4PBFcHkAw66NL1796Y2CQ4OVgVgd8DICwy8igYWfgIBsdk4TItKgQNHRnUk pbiKdq0HCtxHnbzAwcBBgVQEPOGy3lvOUHJuKdV8RFDQWNjpo48+Klu2rMzN+OadBCo+aJ9ixNfX Fw3zqhIug92S/wOBfBLjN5MBOGhAGwUsStaEKRbmQKvoqlKlGjRvnwKE2K12qhlkKZk39e1bi5o1 62MJOAXlOVxta2srgfCInNdyeGZBYcujczJ5Omy8JEN3gneuOGj7YIE4gqkwvHlCSSUfc5gBVH9C DuQb7GwhD15/olfp41OjXi2xdV2JzBt646Y8VB5f028IK1HDV/j5NQApcjIttS3pGXCInlSFiEdG SuSiwqWcp/jFVNgRVM1jdMp5nupyWEpC54E5VZmtDnCrwh8wFZPgpHSBSpYsXa6seKOOqOcnypYR Zcp4jAkOQc7169cjPz0f3Jm6BoqGHBigT7IgannUC+dAR1RbssMgqyocwVISYlZ+BGsVTiFP4ukY MwnSjRspmzZtnTVr4ew532zZsh21Qyw8T8HaeW+HmhfvBjXhgPKWEhVPgVfZGg50S0ZEKMGXEV47 oBRSsD96GUBwOrgFYoEJqbIp1WF4uvrYNj0TzAbJkRmwHKQB7AigiAhgQXj+4iRKRn5JgH9UhiK5 nqXZfaIApgKB4Kd0S+gaoWc4n/NYAvKra3E9XITa2R3k/wclV0VSB2hSZuCwOluDv8imgYaFIP8r BUHFglS/G47x69WUUBX1VRv8ByVfVHYKZW5kc3RyZWFtCmVuZG9iago2NyAwIG9iago0NjIyCmVu ZG9iago2MCAwIG9iago8PCAvTGVuZ3RoIDYxIDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAv SW1hZ2UgL1dpZHRoIDUxMiAvSGVpZ2h0IDEyOCAvSW50ZXJwb2xhdGUKdHJ1ZSAvQ29sb3JTcGFj ZSAxNCAwIFIgL1NNYXNrIDkyIDAgUiAvQml0c1BlckNvbXBvbmVudCA4IC9GaWx0ZXIgL0ZsYXRl RGVjb2RlCj4+CnN0cmVhbQp4Ae19h//Xc/R92bMpLSR7zwihIYmWhJYU0UApKwpJlEISDVJJJGVH 0SAhGSGhSIXMNIysjPs9v3t/5/2978/78/SNdt3X4zyef8J5ntd5nnuuSAH5fyio2EwE2FyxhQiw pWIrEWBrxTYiwLaK7USA7RU7iAA7KgqJAIUVRUSAoopiIkBxxU4iQAnFziJASUUpEaC0oowIUFax iwiwq2I3EaCcYncRoLxiDxFgT8VeIsDein1EgH0V+4kA+ysOEAEOVBwkAhysOEQEOFRxmAhwuOII EeBIRQUR4CjF0SJARcUxIsCxiuNEgEqK40WAExQnigCVFVVEgKqKaiLASYrqIsDJihoiwCmKmiLA qYrTRIBaitoiQB1FXRGgnuJ0EaC+4gwRoIHiTBHgLMXZIkBDRSMRoLGiiQjQVHGOCNBMca4I0FzR QgQ4T3G+CNBScYEIcKGilQjQWtFGBGiruEgEuFhxiQjQTtFeBLhU0UEE6Ki4TAS4XHGFCHCl4ioR oJPiahHgGkVnEaCL4loR4DrF9SJAV8UNIkA3xY0iQHfFTSLAzYoeIkBPxS0iQC9FbxHgVsVtIsDt ij4iwB2KviLAnYp+IsBdirtFgP6KASLAQMUgEeAexb0iwGDFfSLAEMVQEWCY4n4RYLjiARFghOJB EeAhxUgR4GHFKBHgEcVoEWCM4lER4DHF4yLAE4onRYCnFE+LAGMVz4gAzyrGiQDjFc+JAM8rJogA ExWTRIDJihdEgBcVU0SAlxRTRYCXFa+IAK8qpokArymmiwCvK94QAd5UvCUCzFC8LQK8o3hXBJip eE8EmKV4XwT4QPGhCDBbMUcE+EjxsQgwV/GJCDBPMV8EWKD4VAT4TPG5CLBQ8YUI8KXiKxHga8U3 IsC3ikUiwHeKxSLAEsVSEWCZ4nsR4AfFjyLAT4rlIsDPil9EgF8Vv4kAvytWiAB/KP4UAf5S/C0C 2Fcgm/83d/y/peP/rR3/b+v4f3vH/zs6/i/s+L+o4//ijv9LOP4v6fi/tOP/so7/d3X8X87xf3nH /3s6/t/b8f++jv/3d/x/oOP/gx3/H+r4/3DH/0c6/j/K8X9Fx//HOv6v5Pj/BMf/lR3/V3X8f5Lj /5Md/5/i+P9Ux/+1HP/Xcfxfz/F/fcf/DRz/n+X4v6Hj/8aO/5s6/m/m+L+54//zHP+3dPx/oeP/ 1o7/2zr+v9jxfzvH/5c6/u/o+P9yx/9XOv7v5Pj/Gsf/XRz/X+f4v6vj/26O/7s7/r/Z8X9Px/+9 HP/f6vj/dsf/dzj+v9Px/12O//s7/h/o+P8ex/+DHf8Pcfw/zPH/cMf/Ixz/P+T4/2HH/484/h/j +P8xx/9POP5/yvH/WMf/zzr+H+/4/3nH/xMd/092/P+i4/+XHP+/7Pj/Vcf/rzn+f93x/5uO/2c4 /n/H8f9Mx/+zHP9/4Ph/tuP/jxz/z3X8P8/x/wLH/585/l/o+P9Lx/9fO/7/1vH/d47/lzj+X+b4 /wfH/z85/v/Z8f+vjv9/d/z/h+P/vxz/C78M/2+m4h/n5qr8t6D+30rFP86tVflvQ/2/nYp/nNur 8t+B+r+Qin+chVX5F6H+L6biH2dxVf47Uf/vrOIfZ0lV/qWo/8uo+MdZVpX/LtT/u6n4x1lOlf/u 1P97qPjHuacq/72o//dR8Y9zX1X++1H/H6DiH+eBqvwPov4/RMU/zkNV+R9G/X+Ein+cR6ryr0D9 f7SKf5wVVfkfQ/1/nIp/nJVU+R9P/X+iin+clVX5V6H+r6biH+dJqvyrU//XUPGP8xRV/jWp/09T 8Y+zlir/2tT/dVX846ynyv906v8zVPzjbKDK/0zq/7NV/ONsqMq/EfV/ExX/OJuq8j+H+v9cFf84 m6vyb0H9f76Kf5wtVflfQP3fSsU/ztaq/NtQ/1+k4h/nxar8L6H+b6/iH+elqvw7UP9fpuIf5+Wq /K+g/r9KxT/OTqr8r6b+76ziH2cXVf7XUv9fr+IfZ1dV/jdQ/9+o4h9nd1X+N1H/91Dxj7OnKv9b qP97q/jHeasq/9uo//uo+Md5hyr/vtT//VT847xLlf/d1P8DVPzjHKjKfxD1/70q/nEOVuV/H/X/ UBX/OIep8r+f+v8BFf84R6jyf5D6f6SKf5wPq/IfRf0/WsU/zjGq/B+l/n9cxT/OJ1T5P0n9/7SK f5xjVfk/Q/0/TsU/zvGq/J+j/p+g4h/nRFX+k6j/X1Dxj/NFVf5TqP+nqvjH+bIq/1eo/6ep+Mf5 mir/6dT/b6j4x/mmKv+3qP/fVvGP8x1V/u9S/7+n4h/nLFX+71P/f6jiH+dsVf5zqP8/VvGPc64q /0+o/+er+Me5QJX/p9T/n6v4x7lQlf8X1P9fqfjH+bUq/2+o/xep+Mf5nSr/xdT/S1X841ymyv97 6v8fVfzj/EmV/3Lq/19U/OP8VZX/b9T/K1T84/xDlf+f1P9/q/jHaV8Bmj8FnfmzOcl/S/o/W4f+ d+bPkST/o+j/VAz978yfliT/C+n/tA7978yfu0j+/en/DAz978wfuwJC/9sVEPp/F/4C7Erxv1vo /9D/zvy/KvR/6H9n/of+X3n9n/kF2Izmf+j/Q8P/d4+/TWn+NOP7b/Pw/93jr1lA4f+Pp/ljTwAT aP6bBTQ5/H+aP/YEYOYP/B+zgML/L8UngNI0/8uE/x/+vwv/XBb+f/j/LvwT/n/4/+Uj/8PH3zrM f9aL/I8Lf3bh4+91zH92jfyPC3+O4ePvY8x/PhH5Hxf+nMvH33nMfy6I/E/kf/j4ezTz/8cwAnQs wz/HRf4n8j8u/N8v8j+R/3Hh//Uh/xP+/4EMfx7M+a/w/xuH/x/5f4Y/bQTgaYb/xzL8+Sznv+D8 G55j+B9PAOH/2wiAhT+R/7QIaOT/d+IIQAmG/3eO/H/k/93wb/vI/0f+3w3/Rv4fyX9D5P8t/FmO EdDw/2uF/x/zv678YQSHvx5i/8PDMf/ryh9mcfjrA/Y/zI7535j/pflzCPt/DuMI8OEc/j0i5n9j /teV//SO+d+Y/3XlPxvi/G/4/+H/N4z+H1f+1p3lDzez/61n9P+48rfw/yP/s13kfyL/wwqg81j+ c370/0T/jyv/tCdgK//BiRGwF4gXo/+H/Z9W/oMTI2Bo/jEsi/4fln+WZfnbrux/NvMf5+4M/+MV YA+Wf+7J8re92f+8b/R/uvLnBix/O4v9z6H/u4X+j/5Plr99xP5nJP8Nn7D8EyMA8xn+x1/Apyz/ /MyVPy9k+Vvkf4pE/2f0f7L/vw0rQNuy/POi6P+M/k9X/j81+j/Xuv5fE/5/oUT/f7FE/7/lP0uy /Ll0fvtfTPzjRP4nEwHKo/8zvwB7sfwfvwD7ZO9/2d/1/x+Q6P/HE7CNAOAJGI+/Bjz+2vvvkTn9 nxgBq8gK6GNd/7/Nf1Vi+fMJ+e1/qer6/6sl+v9rJPr/T0v0/9dNzP+ekej/Pzvh/zdJ9P+fm+j/ OT/R/98q0f9p/H8xy5/buQjopYyAdnT9/5cl+v+vSuR/Oif6/69PzP/emOj/75Hw/3sn+v/7JPr/ +yX6/wck+j/vTfT/D030/z+Q6P8fmcj/jE70/z+emP99miMA6H+28D/Ocdn7X5D8N0xwIwBm/kx2 FhD8H2AKy/9fcv3PL7P8+VUXAX2NFdCvu/7/NxL9/28n+v/fS/T/f5jI/3yc0P/z+QuQR/9/nuj/ /yrR/78o0f+/NNH//2Oi//+XRP//irXS/789VwDs6Mr/C+fX/1880f8P5jfytwog8H+ZnOVfu9D8 2c0tfwH/2xWwh/N/QP6GXPLfL7v/Hy+/9vh7EEfADmH4B/yfm/8B8xv5V+AVcDSHf8H/ufO/YH4j /+N5BZyYs/yrSmL5V/XE8q+aieVftVn+UNeR/+nZ/f8NEv3/DRP9/00T/f/NE/3/LRP+f+tE/z+Y H7iEAP+3z1n+1cH1/1ye6P/plOj/7JLo/++a6P/vnuj/t/ffW7gCoJcr/781v/7/OxL9/3cl5n8H Jvr/Byf6/4cl+v9HJPr/H070/49J9P8/kej/H5vo/x+f6P+fmOj/B/MDU4hc8n+FV8C0nOVf013/ z5uJ/v93Ev3/sxL9/7MT/f9zE/3/CxL9/wsT/f9fc/jrG1bAgfk9+cP8BzL+/7JE//9Pif7/XxP9 /3+slf7/Hbj8BfyfewUUdfu/ioX+d/tfKnP5i/0CVMve/3iy2/9VI/S/2/9yOZe/XOkqoDvxCrjG 7f/qHPrf7X/BLTCKy78ecftfcAs8SvP/Mbf/BbfAk1z+9ZTb/4JbIPR/5gr4jE8AEP+h/wvlLP8t klj+iyngEpz/LRn6P5v8If5D/0P5G2ABXZaz/PeK/Mj/6uz9X11C/+cs/7UrYLTrfwP5G3LJH/wP 5JI/+N+ugDzmD/ofAPg/E7LNH/g/ZgG9oPkfiH8g9P93LH9evO70fwGuANvsv/b/7xD6P/x/RkAz FtCFbv9vq/D/3f7Hu3L2fw0I/z/8f7f/d2n4/+H/h/8f+j/8//D/df87Xn794+/y7P2/69b/3z70 f+j/0P8ityv66AjYHXwCvlP7n3H2cyuA79bNv/25/zf0f+4TsIV/cOZ5Ao78D16Bwf8/E7/oCvjM FfC7iAHhHyDzBPyXiOFv+d8P5o/5PzB/DJvr8vctuAJ+KxHD1iLbENty+Hc7ESP/jAX0z/5/sUT+ Z+eE/18m9n/F/i+X/7kskf+5io+/efz/zgn///pE/ufGRP6nh+Y/b8nJ//SO/h+X/zTz3/v/ExL5 H7wC5Ov/T438/0ad/y+eyP/Y+y/OUpr8L838f1mOAFv4c1dGQMu5CGh5jgDvEfO/jIDWcxHQ+iKG Mxj+bxDzv4n8f/dE/r9nIv9/ayL/b+IfZ1+Kf9P/cP4NefT/wIT/PziR/x+WyP+PSOT/kfwx5Mn/ jEnk/59I5P/HJvL/46P/34V/Fm7y87+Fdf6rCEcAiopA+RuKs/x/J5f/Cf1fLfr/3fBXew5/ddAn gI7M/4T+Hxr7f13+/41E/v/tRP7/vUT+/8NE/v/jRP5/fiL//3ki//9VIv+/KJH/WZrI//+YyP// ksj/r1gr+f+V9/9B/gYjf+Q/LQIa+h8jALgCTiIs/GkjADUY/j9FpKYOf53KEbBaifnfeqH/Y/+v lv8/5PKf+AUI/T+LV8AHWv6P08h/Nq+Aj7T8B6eR/1xeAfNYAWTkv4BXgM//Q/kbvhD5kjDy/5pX wLe6/xGnkf93vAKWuPzPskT+56fE/O+viflfM/9x/knzH08Af8v/fuH/H6iTvwdlz/8eov0Ph3EE +PDo/xc5R6QZy//PTcz/np+Y/22VmP+9KDH/G/r/3tj/5cofprH8YboI8LoIlL/hTZG3iBkiUP6G d0TeJWbq8heI/9D/IH+D3QEZ/i+o77+bcwQA779bEluJbE1sI7ItsZ0+/m7PJ+AddfgXZ6HsETCY P4ZiFP/4BQj9X1kEqMLyn9D/7dT/wWnkfyktoI6u/+fyRP9Pp0T/T5fE/G/X8P/d/NeYnPnfJ8L/ D/2v/A/yN+AKAPkbcAWA/A3gfwv/4Mwlf3sCAP+D/A1G/uD/8P9B/gYjf3sCgAUE88cA/6cGcYqa PzVpAZ0mYqilyx9rcwVkXRFDPW3+OT27/+eMRP/P2Yn+nyaJ/p/Q/71dBdBtrAC6neX/fRj+7Msn 4H4u/3m3zn/h7M/yzwGJ/h/8BQwWuY8YQvN/aKL/54FE/8/IRP/P6ET/z+OJ/p+nE/0/4xL9PxMi /yPylQL+zzeEmT+LaAEt1uFfnEsY/lka/r+b/yob/f98AgD/n0qA/0H+BvB/HQL8D/I3gP/rE0b+ DXgFnKXl/ziN/BvyCmgsYjDyb8orAOaPwci/OS2g80QMZv60pAV0oZv/bZ2Y/71Y/R+cl1D8twv9 L3KPwsgf/G9XAMjfYOQ/jFfAcBGDkf8IXgEPhf+v/s9MEcN7LP+cFft/5f9/Gf9ns8j/x/5fkUYK 8D/I3wD+h/NvAP+D/A3g/xYE+B/kbwD/X0DgCmhF4ApoQ7SN/n9WQED5GwaKDCLA/yB/g5G//QKA /0H+BvD//QT4H+RvAP8/SOAKgPI3PKyPv6P4BAzlbxjD8p9HtQIOyt8AC+hJ4imWv4X+n6/7X3Au 0OUvn3IFzOea/8S5UMOfXzACauIf53qr/3EFFFRsRvN/cw5/bUkLaOvw/135/5Esfz6KKyArJuZ/ K2n/M87jtfn/BPb/V1bzH2eV8P/5BAzlb2ivzv+l4f8z/G9XgIl/uwJA/gZcASb+7QoA+RtwBYT+ fyf0f8z/uv0v+2n5P879RQ4gDoz8Dy0gE/84Q//fxBXwPUQMPTn8e4tIL5r/vWP+N+Z/tf95w9X/ Jv5xhv4/mBbQoYn9X1D+hgqq/EP/t6D5f576Py0T+79ah//vyn/uovnTn0/AMH8MsIDM/DcLCMrf AP8n9P9rDH++zgjom4n9X1D+hndp/uMJIPz/v3QK4G/53w/mD2DkD/63K2ALVgDB/9mKgAW0DbEt wz/bMfy5AyvgCrn8Z5GY/03s/zqR4c8qtICqxfxvzP+G/x/9P4wALRP5nvhByz9/ZAXocu1/w/mz Nr/9wv6330QMv2vz2wr2v/2p8184wf8gf4PdARn+X736v3Bi/29xjgDspJO/JWL+N/z/8P8p/u0J OPT/y1z++CpHwKD8DdNV+Yf+N/IH/9sV8Ot6Nv+LvwBcAaH/jwv9H/kfrYDrF/l/t/z9hej/1PD/ IpY/LM7e/7V0A8z/wwLakSNgof+PFTHyR/gHOD7yP6yAaCtiuIjh/8j/h///ku7/gvI3vKLKP/Q/ LCCYPwb4Pz8R66H+z5C/PQGE/gf/h/5vFfo/9L8u/50U+n+9nP+1999V9/9D/1cUOUYEyt8Q+v9C HQHGFdCaaEPxj1+A0P/9I/8jAuVvmErxH/7/sg2w/zP0P8jfYOZP6H/wf+j/vqH/Q/+vx/O/UP4G C39urlPAiIBuSSACivCnARHQbQkLf27vIqCZKyD8//D/TfzbFRD6/87I/6v/M1nEHn9f5BNw6P/v +Pi7hBVwof/LaP8bzrJa/rYLK+B2EzGUE9mdKC+yB7GnyF7E3hz+3UdkXw7/7hfzv7r/8Uztf0P5 m6Ehy38axfyvDv/eJHIzh397xP5fVgCNFXmGeJbDv+Oi/3OT7/8J/z/8/5Yx/6sV0Hdo/zNOM38g /kP/Q/kbQv9/qyvALPwJ8b9x6H/j/387/1tCZGdFSV3+Xoor4EP/Vxc5meX/NbT/uSZXAJzK8v/T tP+5NlcA1GH5f13tfz6dKwDqi5xBNKD4D/1/g4ihm8iNRHeK/9D/T0b/J5c/fiICzGP55/yNqP/T zH+cq+j/m/mPE1fAyvv/GfIH/9sVUFrEYFcA/B+zgHYVMcD/gfljgAUE88cACwjmjwEWEMwfg5k/ 8H/MAtpf/R+cB4gcSBykzT8HR/8Py/8ba/9zUy3/x3kOy/+baf9zcy3/x9ki+n9YAXe7iKEPxX/o /4m6/wXnJIr/yeH/bwL7f+0KKMIR4KJc/lVM+x920uVfOCH+U/ofV4CZ/2XD/9e/gFMo/vEXEPr/ ChHgSpGriE4iVxPX6PL3zlwBf62I4TqR64muFP/4BehG8Y+/gND/j+sKgCco/vEX8BTN/6dj/xd/ ARZE/396/++q63/v/9gVYOIfZx79n/kFyKP/M78AefS/vf/m6v/ML8AhLP881O1/Pzyn/78CK0CP Zvl/RZf/PJbDX5U4/3s8R4BPZPl/Zbf/sar2v50kYoD5A8D/MQsI5G8wCwj8b1dALbf/Cy5QHUVd Lv+q5/wfs4Bg/hjOVBfoLD4BN9TlXzgbcf9Lrv4/h78A51L8m/7P/AKcT/O/pdv/cqFGQFu7/H8b jgBclD3/e0mi/79DYv+v8b9dASB/g10B4H+7Arq4/b+4AsD/dgWA/A0gf+N/uwJA/oab2P98sz4B 99T3X5y3KHqxAvpWFf84b1Pkq//7qvl/Z07+524N//fX/S8DWQE0SCvg7slv/9d9rAAdyvL/YW7/ y3Dd/zLC9f8/yBUAI3X548NuBeQjIsBoXf44xq2AfIwrYED+BpC/8b9dAXj8NTyjT8DPigDj9PF3 vHsCfl4EmEDxP9HlPyfn6P8pifz/KxwBnsbyn9e0/3M6K4DeYPnnm27/+wzd//6O6/98lxWg72Xv /3pf5APFhyKziTkiwEeKj9X8messoHm0gBao/4PzU+5/+Uzffxfq/hecX3D/y5dc/vi1i4B+m5// v1jDP0u0/22Zy/9/n5j/Xa7lPz+z/O1XrQD6TSvgfhcBVrD8/w/X//aX9r8JvwLruv+zRML/L70S +r+c5n/Kq/8D8jfs6cI/e+eX/9k/kf85mOYP+N+ugMOU/8H8wBHEkbr8pYIjf/C/XQHHuPmv45T/ cVbS8gdP/uB/uwKqsPyzKss/qyn/V88m/xrZ+v9Ukv9p+gpQy5n/dfLz/+vr/sczcvz/s0j+Z2f3 /zdO5H+aKf+D/A3N3fKv87j8y66AC5T/wfxAK6K1W/7VNr/9X+0S/Z8dlf8vEzFcrsr/ChX/V1L8 X6X8f7Xq/2tI/p2z9f91JP/r9RegK/V/t4T+vzmR/+lF8u+tWwByyb8Pn4D7uvfffjn9P/05/DWA V8CgbPK/V1eADXbLf4dw+ddQLn+8n/tfHsjZ//WQ8j/I3wD+H8XlX49w+ZddAY+6/e+P5+z/eiqh /58l+Y/jFfCcCPA8yX8Cr4BJzv95Qfkf54siUxQvKf9P1f4HnC9r+Zsn/2kiQC75g/+BXPJ/m1cA mB+YqXhP+59xztLlj578PxQBcAXMySb/j7kC/hOa//Mo/uc7//+zRP//lyLAVwT4/xvFtyT/Rdn7 f8H8wFICV8D3ih+U/39kBehPrvzz5/z6P38n+a/gFfCn8v9fif7Pgqsp/7/jau3/KePyn2UZ/txV nwB2c+b/7tlXAMjfsJfeAnvrE8A+6vzvS/9/v4T/fxCfAA4J/c8roKnz/88J/R/6P/S/XgELQv9z BcD22vy/w+ru/y8d+p/mT43Q/xT/l4mE/h+qfwHDcswf+wUY4Zb/4hdgJBH6334BQv//7SygAvR/ 8Bew2erb/1uYEaAiIkWJYiz/L67vvyXc+29JDf/gLJUd/sFfAMR/6P9Twv/XKwDkb4D/4y2gTuH/ h/8vMkMB/yf8f7hA8H/+IPJYQMIvw/8gf8PmXP61BZe/b6UrwLbm8q9ttP9hu9D/XP5+dPj/4f+7 8Gef8P/V+Z8Q/j/N/6/ye/wN/99+AXam+A/9f1Lkf0Tai1xKdBABOvIJOPT/EJo/8H9yLSCYP4YH 1QWC/2MWEMwfQ54n4DGMAOV5An4i8j98/J0b+Z+NS//b++8BOv+F80ARvPwaDtbkD95/gUMZ/jws kf+pkND/x2j/83E5+Z/jNf95ooZ/cFZm+LOKroCsxggQroDqxMkx/0v+h/NvwBVg5o/5P1cxAgQL 6Grimsj/k/9z/X9cAfnmf3AFPMbwz+PK/09yBOCpyP8zAjSfEaAFDH9+msj/fJHI/3yTyP8sTuR/ vk/kf5Zz+eMvjID+thHt/4Xzb1jt/v/+ifwPyN9g5A/+tyvgcOV/nEeIHEkY+R/FK6AiRwCM/I/l FVBJ8584jfxP4BUA8jcY+VflFeD1P8jfUIPmP14Bamr481RGQGu5/H+dRP6/vuY/cZ7B8H8DF/4/ i+HPhjoC0CjmfzkCdrPmP3H2YPi/pwv/92L489aY/83O/z/vIqATOQIwKeZ/aQF9G/O/bv4X5o/B zJ9S2U/AGfLfhRHQ3Vz/Z7ns8OceOgKw5/+V/w/9fyYrgIz8z+YVAPI3NNbyhyasgDhH+x9wNmP4 /1wdAWvhRgDO5xNASw5/XZDI/7fR+a+LOAJwscglRDs1f9rTAoLzY+hI8Y9fgND/Q2kB3e8iQA/k 5P9hAT3E8A/+AuD/jCIeyS//H/p/jhsB+Fj9H5xzVfl/svHq/00t/79/6P/Q/27+t5vOf+G8kcO/ 3d3wb+j/p3T+C+fTDP+PdcO/z3L4azznf0P/L3TDv1/mzP+G/t8p9H/4/6H/E/O/g1j+cG/2/O99 2v9g4h/nMIp//AUMp/jHX8AI5v9D/7+r8784Z3L49z03//s+yx8+zJ7/xV/ARxT/m4L+L7CJzf+G /g//v2vo/5z+n8f0/RenPf5aBOhJiv/Q//O0/AfnfA7/LnDlP5/l9P9A+Ru+Uuf/6/D/tQW0OMU/ /gJK0PzHE0D4/9VYAVc98j+a/zTzH2fH8P+1BWhIfv0/of/fcv1vb2v5D853KP5D///p+t/+1uFf nPZlxH/BTWb+N/R/6P+uof9D/yf6P2H+GMz8wfuvPQGH/t+GI8Dbcvh3O7f8fQftfyuk+19wFmb5 fxHtfyjGFQB59H/mF2AV9X/5nP7PvVj+to+2gO4b+38ZAY38z/XK/ze4ClA8/hrs8fcmPgEj/Gmw 8OctjID21vwnTuQ/byNu18nfPtnzv325/LEfK6DvFjH01+bPAdn9n+H/v+IqQKdp+SfO11j+PF37 n9/Q8k+cb1L84y9gBsV/6P8V2v+A8w+Kf/wF/EXx7/V/5hdgs7Xb/+P9H5C/oRT7f0qvRP6/XM7+ 9z1d/+fesf9L+//rR/5f979cl+j/7xb5H9f/HP5/6P8tWAG0pU7+brW653/tFwDK3wDzP9f/L7MS /Z+7u/x/6P/aXP5SV7cA1OPyl9MT/f/4CzhLk/9nR/6f4h+/AKH/H+cT8JMx/0vz55PI/4tsrf4P zB/Ddiu3/8v8n6J8/M3j/2TIP/R/NZb/nOT2v5zM8udTuAL+VI4An8bh31q6AqZOzP+6/S/XcPlL F10Bdi3FP/4CzPyxJwBYQKH/x4T+d/u/Qv+vLv1vTwBgfiN/ewIA/4f+PzHy/5H/j/y/WwE2NWf/ F14BXqX5H/7/jzn7v5av9/0/UP6GzBWQIX+Y/+H/V3b7H6sy/AnxH/r/Utf/2THR/3mlWwHZyfX/ Q/kbOnP5L34BQv8/zAqIR7T/Dedoln+G/p8d+n8N9P+H/j/O7f89nuVvEP+h/y8K/R/6P/S/yHci i4klXP67VPe/f+9WAK85/V9wjc3/hv6vFP2fuv+9tYihjZa/tWUF3MUihkt0+Xs7roAP/X8Pyx8G iwD3afnDEFZADNP+B5z3c//78Jz9Xw9p/xvOkSz/xy/AKIr/0P8fRP5flz9a/hPhT8PmDP/gFWDL Vcv/hP4P/d9K+R8n+B/kbwD/h/6/O/R/6P/1QP8b/+MvAPwP8jcY+YP/7QrYWsM/OLdh+GdbHQHb nhGgHXT4a0eOgIH5jfzD/7dfADN/TqAFBOffUEWb/2H+A9Ui/xP6X8vfIP5D/7+q77847fH3NY6A va7zXzjf0OGvNzkCNiOx/3em9r/hfE/L32axAi70v4T+j/1fHAFoyPL/RroCpglXADRl+f850f+v w7+3iPTi8G/vmP/V/udxLH9+TgR4Pr/9v5N0BcwLIoYXKf6niLzE8M9UkZc5/Bv5nw3X/y8U+l/3 P5r4xxn6H/4PAP+nLQELKPz//ix/GCgCDAr9zysg9P8yff/9Qfc/4sQT8E+EhT9/ZgT0VxHDbyK/ Eyu0/OEPVkD8pf0POP+G7ucH88f8HzP/zQKC+WMw82erfz//a/6PWUBF13D+f3eR8oo9svd/7RX9 PxwBrq/NP2dE/48Of13PEbAbov9HI6CP6vwXzsdi/6+uAPso+v/V+Qf/2xUA59+wkv7/2tT/ech/ T60AMvLfm1fAviKG/bj8a3/d/36g+j84D+Ly34O5/P3Q2P8rAvPHYOZPM1pAzXX/I84WIucR54u0 JC7Q5Y8XcgVk68j/sPztLhHAHn8h/kP/w/wxTFXlD//HLKBXw/8P/S9SVjf/7pLf/l8of0OeKwDk bwD/70OA/0H+BiP/A3gFgPwNIH/j/0NI/oeJAIfr8vcjuAK+gojhKJGjiYoixxDHqvmD8E/kf5D8 MeAKaEPAAoL5Y4AFdAnRLvb/0gK6V/OfOAdr+PM+RkCHcgXAsNj/xSfgt1gBOiP6P0XMAlqx0v2f BddA/n9D1P+4Ajz5h/5vQvGPX4DQ/z1FgFv08bcXn4Bv1fdfnLeJ3E70EbmD6Kvlz3eyAtrEf+j/ F0UMUyj+8QsQ+n+JCLBUh7+WcQTsh/D/+Quwq8huRDmKf/wCrBb9D/I3QPwD4H8T/7n6/8jQ/+r/ tFD/B+d5IjB/DLCAYP4Y4P+E/rcroJ/6PziN/OH/mAU0gCsA7PEX77/APRT/of+nsQLotej/5xPw chED3n9/IfD+C+VvwBPwyuv/AqH/nf+TIf9/0P8VlP9h/hhgAcH8MRyjFhD8H7OAKrn53+M1/H8C yx8quwq4qvnl/6uLnKyooc2fp7D/s2ai/7N2ov/z9ET//5na/3wWy58bigCNFI0ZAYXyN0D/Z34B zqX539zxv10B3v/HFQD+tyugtfP/4QLB/zELCOaP4RK1gNrll//vkOj/uSLR/3N1ov/nWlaA4v23 K3GDPgF30xbQG7X8uburgL5ZBOihyh/iH4D+z/wC9Kb4N/2f+QXoQ/GPvwCQv/E/fgGM/O0X4G7y f/+c/M8gRoCM/Ac7C2hIfvO/93ME+AFd/j7CrYB/SEeAR2bP/47iCPDo7P6fRxP7f5/kCuCnRcYS z4gAzyrGafhzvIuAPs8I6EQRwyQRYDIjoC86/T+FvwBTs/3/VxL+//RE/v+tRP7/3UT+//3E/O+c xP6vTxL7fz8V+UzxuchC4gsR4EvFV9n7f78R+VaxSIe/vnMjYBD/wNJs/f99Qv8v1/DPz8r/v7r8 z2+J/M+fazH/U0jzn4W1/63oBpL/MfGPM3MFHMZfgMOz/f+U/q+YTf7HZfv/YH4j/xN5BVRx/W/V dP4L50lu+e/JWv4M/gfA/zUVpyr/nyZiqKXlz7Ud+dfN7v+vn+j/B/MDZxO55N9ERwCaMv/fjI+/ 4H+7Alq499/zc/T/hST/VqyAaOPynxfl+P/tSP7t9RXgUpEOio6J/b9XKv9fJWLopOXPnvw7swL6 Wtf/BvI34Aq4IZv8b9QtAOD/m7j862Yu/+qRH/n31imAXPLvk73/606aP/YLkNH//fn4O4BXAJgf uCeh/4eQ/IfqE8Aw+v/Dlf8f0P4HnOD/BxUPkfxHsgJilOt/GK39bzjHuPDPY/nlf55S/gf5G3AF 5CH/cToCMF6T/88p84P/JxDgfzA/MJnk/4KOAOAKmKJ4KZH/fzXR//l6Yv/XjMT+r5nK/+/p/BfO WSJgfk/+H4oAszX5M8eR/8eaApqrzf+fOPKfzxXwn7r975/r/necuALykP9XIsDXImB+IEP+i0QA 8P9ixRKS/1JeAWB+T/4/Zuv/nxn+/IVXwG80/3/PT///ldj/VXAN6H8wv5F/kewroDjLn3daff2f 5bPDn3v+1/zPQSvt/1dI6P9j3PvvsST/Sq4C7gReAZXd/G8VjgBXy57/rR76P+cKuFzEcIUIkLkC QP6Gq90KAPB/FyLPFQDyN+S5AkD+hjxXgIn/0P9jQ/+T/BeIAHmuAJC/Ic8VAPI35LkCQP6GPFfA Mv4C5LkCfnL5/+Wh//kEkOcK2Os/5X8OXmX/v2Lof81/XqD+f+j/vtnmTz9aQHdnmz8DQv/nN/8b +j8P+a8h/V9go9D/uAL24PLfPZX/9/6X+39XXv8fGfqfTwAtsi2gli7/j1sgcwW0Dv+f5H+XewLO WEADdfgX56BsC2iwmv8472P+Ey4Q/J9hxP2uAvSB8P9pAb0jYnhXBMhYQLNYAfR+tgU02/X/z3EW 0Fzd/4gT/g8wTwH/x8R/6P/ttP9tBxHDjiKFCPg/QBE1/4vq8sdi2SsgS6ym/b+7O//HroD/pv+N //EXcMj/lf+pkMj/hP4/P/S/mv94Argj5/E39P9klv+8oO+/U8L/D/+fy99LigClREoTZbJXwO8q YthNpBxh5J/xf6D8DbgC/q3+N/8nQ/6HMgJ6uM5/4TxCBMrfgCvgKOLo7PDPMRr+Cf8/9H/uFWDi H2ceC2hg6P+c/P8rkf9x+19+4OPvT/oEsFwjoD/zCfjXjTT/gyugLMP/uyj/g/wNuAJA/gYzfyD+ N0T9X4Xhz2qsgK7uIkA1GAE6hfmfmon8T22NANXV8A/Oeiz/OT2R/zkzkf9pxPBnk+z8zzmJ/E+L yP/r/NdtOv8F5W/IkH/fRP4HVwD8HzP/ceIKGETcE/l/bQHFE8A04rXI//MKMPLHCf7/hcAV8Bvx e375nz8T+Z8C64H/v7OK/5I5+h/kbzDy3yj1f9VE/ufkRP7H8p84TxOpRRj51+EVAPI3GPnX5xXQ QMRg5H8Wr4CGGv7HaeTfmFdAU5f/b6b8j/Ncmv/Nnfl/nuY/vf9v5j/OVjT/8QrQhuH/tpr/vNjl /9tp/hNney7/vdTlPzuKXMbwz+Uu/HOl5j87ufzPNYn8/3WJ/H83Df/jvJHhn+4u/3lzTv6/F0eA e2fn/2+P+V+WPz+fX/5/souAvujy/y8l8v+vJvT/64n8/4xE/n9mwv//IJH//yjh/89L+P+fJfL/ Xyby/9+6CKjP/yzR/CfOpQz/LHP5z1z9D/I34Ar4lcAV8DuxYt31fxb6l/n/kjR/SvEKMPMn9H/o /w6J/P8Vifz/1cr/nTX8j7OLhv+v5QjA9Tn5/xs4/AX+tyvgJjcC0IMjAD05/HULyx/A/3YFQPkb cAWY+Md5B/3/0P+T3AjAC3wCwBUwhcAVMJV4Ofr/eQV87/yfH1X844T/s3r1f8HQ/67/8xA+/h66 tvz/qqH/3fBvu9D/bgRssMv/DOEK4KEM/wxz4Z/hsf839L+b/8JfwIrQ/yz/3Ef7n/dbw/2fFf9T /r9K+P/R/xn+f+j/xPwv/gLM/LFfgNWu/9ec/19Y859FXAS0eGL+d135/wfk9P+H/m+s5j/OJjT/ 8QpwDs3/ZuH/h//vyn+eZfnDePb/PO8qICa6/p/w/792/Q94BVjE4V+8Aiym+b8x+f9gfk/+xdL5 /3Xl/x+Ys//34LWe/w/9f0no/9D/of/Xkf5fc/5/6P9KK9H/Gf4/UkC4AuD8G9pH/ocVcOH/IwU0 TQThT8N0hn+QAnpD5E3iLZr/M3QFzDtu/jfyP3+I/Mnyz7/Wyv7fQhz+XWv6v7yG//dg+dterICA 82/Yl+Y/XgH2181f3vw5KL8n4MMS/Z8V/tP87/Esfzsxu/8z9H/o/wGh/0P/ryP9v6H7/7u7/gcb /sUJ/t+bsMdf8L9dASB/A/jfXwFwfoA15/+fkOj/D/0f+n+g8j/OQQz/3KMjYKH/Q//j8ddg4U+8 /9oT8Pqf/187/j+UvwHi/9/qf+N/E/8481wBof/tCRiPvwZ7/D2XT8At3P6X83P6/y9I9P+34fKX izgCFvo/9P/U0P/rSP8XXGP5/7Xj/6+K/rf3X5y55H/ov8//V/zH/v/Q/61j/lfLP+9y/c/9Wf5s vwCh/zH/ZSNgUP6G8P83Ef1fUod/MQJcWpvfyrD/bRdWAO3K8p/dtP8NzG/kv57o/2P+Mf8f/j+U v6Etl3/hF8DMH/sFaKfDX3j/tSfgDm7/y2Xa/4Dzci1/wPBvzP/e71aAPZCz/+vBxP6vUbr/cXTO /q9Hdf/j41wB9oTIk8RTXP71tO5/ecatABun+U+c47n/6zmWP0zQFWATOfw7KbH/a0pi/9crif1f 0xP7v95i+fPbfAJ+V8ufcc7k8q/33P6v97X/4UNd/oVzNvd/zdH+h491+RfOuSx//oTlz/O5AuZT t//l85z9X19w+eNX2fu/vuHyx0WMgC52K8CW6vAvzmUc/v1+k8n/g/kBkL8B/F+WwBUA8jcY+ZfL vgL2oPljTwB70fzHK8A/+P+h/8/K2f/bOPL/0f8jAv63KwDkbzDyH8srAMl/g5E/+N+ugOcj/++W /35J8v+aKyC/3WT6f4q4+a9iXAFQnCNgJVz/f0nX/2ZXAMjfgCsA5G8I/V+TK4BPy9n/W5vlb3Wz 9/+ezvK3M0SABiJnEkb+Z/MKaOT2vzfR+S+cTWn+nxP9n6wA6qXNP72j/4fi366A5/gLgCtgAjEx 9D+vACh/A64AE/84v6P4x1/AEor/tan/17T/X3Sl53/B/Eb+of+rs/zzZC5/P4Ur4E/V/mecuAJq EUb+dXgF1Iv+Ty5/78IKuOui/9Ptf39E/Z8xuv8d56Nq/jxGC8jEf+j/uW7/17zo/xTZRrGtyHbE 9lz+tYPIjlz+Vcjl//EXgCtgY9X/R4kcraiY8/h7HFfAHy9iOEGT/ydG/j/8fz4BD+AKgIEs/x/E 4a97GQG9z+1/HKr7H3Fa+Zs9AQyn+Y9XgBEiDxIPiYwkHlbyH8UrYHT4/+H/ixRQ2C/AZiKbE1uI bElsJbI1Af4H+RtwBYD8DUb+4H+7Agrn9D/bFZAxf3YSAWAB7UzAAtqw9H8F3f+VIX/wf+4VUMnN /4L8DeD/ykQVln9W5fKXk0SA0P+X6hRwBy1/7sgK6Mu5AuAKLX++khXQnaL/P/o/OQL8Nod/33HL f2fqE/Ast//3g+j/d/wP8jfgCgD5G3AFgPwNuAJM/NsVsP7o/93XUf4fyt+QuQKOifyP2/97QeT/ uQLgTl3+3o8r4O92+x9D/0+J/A+fAJaE/8/wD54AyjD8U1bff3dN5H/Kr8L874Gr0P8Z+r957P/i CrDbuPzrdl0Bc4fuf8HZV5c/gv/tCrgr8v+6/+XF2P/F8Od3fAIG+Rvs8XcZI6A/bODzv2va//9v +n9/VwF0kM5/4Tw4uwLisH/s/wn93yLmf5X/Qf4GI/8+vAJA/obQ/5M0BTSZy79eUP6H8je8xOHf qRz+eiX2/27I+X97/y3s+p+LZpc/75T2/zMRoDWq/w9w5T/4C8iQP66AQ3Ty99D/a/439H/o/1tD /0f/f+z/ZQRoR+Z/wPxG/hD/gJG/RYAyT8AlEvn/TPgT/G9XwC7/mP9fvfof5G8A/x9GHC5yBHGk CGDkvxb8f8t/1mD4s2bk/2P+VyNAwzj8e7/I8Mj/iLwV87+6//E33f++Qvc/4vxDy5//ZAX039r/ jNO+Aiz/Kajvv6sr/7Nx63+QvwH8n3n8Xe35n+o6AgDmN/KP/P9lDP9czvKHKyP/o+QP/rcrYITm P3E+qOUPyH8CI0UQ/jSM0vKHR1gBMSby/9r/MFv7H3DO0fKHj1gBEfn/rf5T/if0/3Ea/seJCOjx BPKfCH8aKotUIapq+LOai4Aa+UP8r4z+ryVSW1FHJ3/rxvyvDn915gjYtSKG60SuJ7qK3EB0E7mR 6K7lDzexAqKHiKEnh39v0f2PvTkCDAvIzH+c4f8/pyPAz3P4d4Luf5zEEeDw/7/hCshFHAH+juGf xeto/jfzC4D856aj/+3998Cc/M/K+P9rTv/jCjhJw//gf7sCavyj/j9N538z5A/+tyugnpv/PV37 H+qz/KGBq4A4SwQ4W6Qh0UgrIBprBVCT7P2/53AF8LkizYkWLgJ0voY/W7oI6IWMgLYWMbRxFaAX afnbxa4Crp2uAGufvf+rA0cA8uj/KzgCcBXD/51ErlZcIwKA/7sQGf63KwDkb7ArAPxvVwDI35Dh /5uV/0H+BpC/8X8vlj+A/wG7Am7nFXCHy//0ZQSoH8M/d7n8Z/+c/s9BXAFwr8hg4j4dARsiAgzV 4a9hbgRseH76/0H+Aoyk+H+YI2D56v9HOQL8OMt/nnD9b09pBdxYLf/B+YxbATxOm3/Gs/8HVwD4 H5jA5b8THf/bFfCiy/9M0fznS/oE/LK+/+J8he+/r+bs/5rOFWBvcPnXm2r+vJXI/7+r/W8zc/L/ 7yfy/3P4C/Axh3/nsgJuHivgFogYPtUKuM/0CeBzkYXEF64C6Ctt/vma/T/fJPp/FifyP98n8j/L RX5W/CLyK/GbWkC/0wL6Q/0fnH/S//lrre//KrJe+v8HJPI/h6xT//8k5X+c1bP7H3ALnKLOf81s /7+W63+oTfLP6H/cAqc78j+DV8CZ2v+TIX/wP4AroFE2+TfhCngwP9As0f9znggA8je0FLlAkSH/ ViJAa1f+2Ta/+d8M+YP/gUtd+WdHln/aFXCF83+uEjHkkn9nXgHXqv6/TvsfcvV/N5L/jfoL0J36 H8xv5N+DVwCYHwDzG/n35hVwm/J/hvz7ZOd/7mT4E/xvV8DdHP418h/AK2CQ2/9yrw7/4hzshn+H cPjXroD79QlgOMn/AY6APej8n5E5878Z8h/NCohHXf/D4zn9n2B+4Gkil/zH8Qn4OYp/I/8JvAIm MfwzOb/8z0uJ/D+YH5hGvCYyXfF6ov9zRsL/n5no//wgMf/7Ec2fj7UCNJf852f3f35G8v9cK0AX KvOD/79M9H9+m+j/XJLQ/z8k+j8z5P+LCIArIA/5r9AngFzy/9tdAQXWjP9feBXmf0txBKDMyuX/ d1+t+f+DVyL/U2GN+f/VVqv+B/kb6rMCroGKf5x5rgCQv6FR9hXQlL8Aea6A5qH/Sf6h/8H/44k8 V8BE/gLkuQJC/+MWWKTJ/++Y/w/9X9L1v4H8DWUZ/tlF57924wqAcux/Lr9a538PCf1P86dJ6H+a //gF6En/v1fo/2zzJ/Q/fgFM/OPc4PR/5hdgs9Xn/68d/Q/lb8AVsMdq6v9fGf1/ZOj/0P+h/xP9 //gFgP9jFlDof7hAX4X//2/6P0s7/8csICh/w64U//gLWIf63/yfo1a5/6dyTv7npPD/uQIs/P97 s/s/Yf6H/48ngPD/l4sAG7f/nzF/4P+YBQTyN3jy36D1fxXl/6qsAK3G/Ccefw0na/inhj7+4v0X qMny/1Nz9r/U0fdfnHWzwz/+CTj8/+s0/9k18j98/B2jIwB5noCfYAToSY0A4f0XwBPwWOKZbAso /H+zgGD+GPD+65+Av+YvwDfMf4b/X+If53/xF5C5AkL/2xUA8jd48rcIUO388v/1/lP+B0/Ajbn8 q0ns/+ITQMb/vyXh/9/G8Gee/E/fRP7nbpH+LP8fIDIw+v8ZAX3F5T+n5eR/pifyP28l8j/vJvI/ 7yfyP3MS+Z9PGP6cn53/+TSR/zH+h/ljwBXwDWHkj/dfewJezBGAJeui/7MAI0Dr3P+3999S6v9k yD/0v5E/xD8A/gf5G07jCrAM+dsvwCrqf5C/wci/Ka+AZi4C2tz5/+dp/hPn+dn5/ws1/I+zFcP/ rV34v61GQC/mCMAlmvxvl1/+v2Mi/39lIv9/jYb/cXZm+L+Ly3/m6v9umv/EeSPD/905/HUzI6A9 Xf6/l4uA3hr9Pwx/2i/AczT/n2f4cyJHwCbr/necLzD8/6L2v72UyP+/qvlPnNNEXiOM/F/nFfAm RwCM/GfwCniHKwCM/GfyCpgV/f8u/CnrTf//zrr/F8xv5F86+woI/W9XAMjfAP7PkH/o/6t0BKAT h7+u5vAX+N+ugGtj/ldHwEa5+a/Rsf8r9L9b/lVwtfb/FP6X+X8of0PmCijD8reNUv+fqPu/1k// v3Ho/9D/zv838z/X/382kf+B8jdMYPgfvwCTKP5D/3+bmP+F+WNYqs3/yzal/v9NTf9XdvsfcQtU Zf/P+pD/aRT+vxsB7hH+Px9/bQQYT8D2+IsTV8A4Av7PcwT4H+RvMPIH/9sVAPPHYObPFFpAU7kC 4GWa/3gFMPMH/o9ZQDB/DPB/3iBgAcH8McD/eZuABQTzxwD/5z0CFhCcf8MHWv72ISvg5mj/G86P dPL34+z530/C/+fy9211BfB2XP67vfY/76jLf3EWovjHX0ARLX8oygqI4iLATkQJt/z3P+j/chts /j/0f9vw//X9tz/LHwbyCfieRP/PEM1/4hya3f8znBWgD7D8c4Trf3go+j8T/T8gfwP4fzZh5A/+ tytgLiuAjPzn8QpY4Pp/Pov+/5z+f7sCQP4G8H8xInMFgPwNEP8A+L/Uv/T/d1f+L/+f5n/3X4X+ nwqr3P8f+v8iVgBdLILHX0M7hv/bu/6fDlz+fpm2AF0e/f+8Au7nCgBcASB/g5H/g7wCRub0/+AV 4BGa/3gFGKPlP4+yAujxnP6fJ0P/u/63+Rr+wYkr4FMCV8DnxEL2/2wo+Z+Caz3/k/kFAP9nyH8t 6/8D1un+rxPD/w/9H/qf5s9LrICD+WMw88ciQGb+WAQI/s/rxBsM/5gFBPPH8DbDP2YBwfwxwAKa RcD/MfGPc9PV//8DApTjhAplbmRzdHJlYW0KZW5kb2JqCjYxIDAgb2JqCjE1MTYxCmVuZG9iago3 MiAwIG9iago8PCAvTGVuZ3RoIDczIDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2Ug L1dpZHRoIDY5IC9IZWlnaHQgNjcgL0ludGVycG9sYXRlCnRydWUgL0NvbG9yU3BhY2UgMTQgMCBS IC9TTWFzayA5NCAwIFIgL0JpdHNQZXJDb21wb25lbnQgOCAvRmlsdGVyIC9GbGF0ZURlY29kZQo+ PgpzdHJlYW0KeAHVmgdUFPcWxv/b61BEBKUosQUr2LsiiCX6jARjsCSKgLG3Zy9ETewFa+yiRmwg alTsXbF3xd57b9HEEt5vnWQPBxBRQXl79uyZmZ2dud989363/DcxMflr8uTJIsu/TCbT/v37k5ue 2n6tWrUKFy7ctGnTJln1hW3ZsmUbOXJkauYnP+br69u3b9/kR7PYfrly5YYNG5Yeo/z8/Hr27Jme Mz/jOWXKlMlUOKtWrapQoQIPDQ+9fPny1atX/f39fXx8qlWr1qZNGxn40KFDN27cKG+3a9euYsWK PLoZM2Z8wGPJbDgTJ04sWLBgfHx89erVW7ZsefbsWQcHhzVr1nBEjtknT55kz569cePGsvHFixcf NGhQTEyMi4vLrFmz3hdRZsP59ddfsTAhIaF+/fodO3Y8f/68o6Pj2LFjf/vtt1evXmHtvHnzvLy8 ihUrduXKFXZLliy5ZMkSNgYPHlylSpWsBmf69On29vZ58uQpUqTIo0ePwGVnZxccHNy9e3d4wVoU BkSwI/s8cBYtWsRxaMVFsxqcSZMmVa5c+fDhw25ubkeOHDl9+rSHh4fVyBMnThgMhpo1awIWjl6+ fAmcZcuWyTCJI+uZ6dzIbGcbP368t7c3xhARpUqV2rNnD/Y3aNDgu+++g44OHTrUqFHj2LFje/fu dXZ2jouLgxFeCEXp0qVl90snEPm0zIZD7K9fv557/fXXX9HR0WfOnOEzMjKSMEcQ1q5de+rUKdmS TZs2Qd/mzZvnzp27evXqP/74472AfBo4H2DSx/wkA9l5+vTphQsXMAbJIkasVh0/fpyv2H39+vWO HTsIjZ07d0IWR3bt2sXutm3bnj9/zu6+ffvu3Llz/fr1+/fvs/vixQtOkGl6+PBhbGzs/PnzSV58 9bZXBsLBc5ApboT9eL5sMCZR6cli9ezZs9y5c5NVkWXCH6ErVKgQBpQoUQJNxmB+tXTp0qlTp9au XZtnAih0A20/efIkWkHmItBCQkL+/vvvTwAnIiJCrVbfvn2bXKNSqWSmSPc6nS4gIAADeM558+ZF zZBo5JonT0riE9bIrVu3bkUDIWvOnDlU7uHh4VCWL18+rlO3bl1QvA1C0uMZyE7z5s2BM3PmzMDA QI1Gs2LFCm4UFBTUr18/5JeMA1PAwc4uXbrw2HEqaOrRo0fv3r2pAah/ypcvDxxSFWLImYh80aJF Dxw4QNrCIbna7Nmzx4wZg0MmhZB0O6Pg4Btly5bt1KkTBlStWrVRo0b9+/d/8OABjx0R4y69evXi vhiJz7Ru3frgwYP4DC6Em4WFhcER33IacGiseAjr1q2TJImfI+NwtHLlSk6YMGECXBNiSSEk3c4o OBcvXuQZ4hiky65du5Lo69Wrh/sRLJRqJBpMunnzJqRYjSFp5s+f31p8YhVBRLxDCt7F7sCBA/G6 a9eu8ZRIsuRiHJUagySVFELS7YyCQ0nZsGFDrjxkyBCEi+AFAq+oqCgOYjmxT6IhiA4dOiQbAKGc wMlWeyh1yD7oBtWd/KtWrVqdO3eOWAsNDYVKnBCXvnfvnvUnyTbwagxIdjDV3bT7HWwjovmhVXaI FFnc5KvxLaD4tJ7AcX6VcpdzOG61wbqN2suCb/0q5QaPa9q0aSmPpzySNpyU53/KI4j89u07d8bv 3rxlK3XU0aNHL126lLYBWRPOy5evIiPnfpHXM5udcMqhyOmkUSqVTk5OOC204iGyz6SElgXhbNiw oXyFajmyiyF9lTcSTLdOmxvVF9kcHLds2UK4kQgeP34MoqT+bMX1eeFg0ooVccOGR0RGzouLW7dh w2Z0w2hQNQsUp/eYEp/ZJN6XWn2vcHJ23bt3H+pBKYvL3bhxg1ycKkGfCw4+Exu7vHx5H3s7UcpL FMwnXHKKHI7/jPzKlVRtX2V8cU9q+o3Imcsjfteu33//nUy3fPly9ByRp7LKInBQwsXRS0qXqUJc tA8VZ/eZoODvm9KLm1L0LH2O7IoSRZW7Vhuf35IC6wp39wIJCScR9jp16ixYsIACkiR19+5d1PWz OxsOv2DBohIlKzhkE51biwsHTIlPbBLvScB5dUcaFq6zkRRlS6qmjdYvm2OoWk7ky1+Evom8xhSF xpCYonUia7+NGiLo0zgbBpB5qZecHEW/ruLuaXPiaxtLaDyUQHR2v+mrGmqwNPlGM7SvrndHXS5n UaBAUbI23jVixAh3d3cIoj1JG8sngINL8FRpq+WoyJtH2ThQ07alZmAP3cwI/Zpow8xxFgfj2wJ5 lTV91O1aal2chbd3aXihw6VVp42lJmSogqC9TQE+mbIB59atW3Q3VEEDBgw0GOyx3MVZ4ZpLaW+n MBkVBr0o462SzAq1SlQqq3J0EBUqVKFKXLhwIVgotnkanp6eAwYMwOZUw9+KJTPYIUjPnj1Hj5b0 1vh8cHCIs1O2op7Klo01P3XTDeiu69dF16ez7r9ttKW8VEaDwruoCnHw9fVnNkKtO3z4cFokKnBo ooHKkJotKfB3bkNETEysl3c5WxuTs3MuT09vX796IaEdAr4JUqv1uFDkeN3mWGPcAuOSWYaZY/XT x+jBlcdNCUfFCyu1GuHvX5suG0aIF3yM6Qr9FP0IJShMvdOADGRnzZp1FSv58Xj/21Yc2mLYuEQ7 I0LZp5MIaiAqlRFf5heuuRS53ZQFvlCW9lKFNdXcO2veFWfM7arM56FsWE+t14qvvw4AC30iax9M U/ExpABNJkPRnn8yODt27KxZq76tpAz7XpwjiaC99yWLZD22qJbl85704pr08IJ58gi9wSBIkYe2 mVYuNDg6KEoVV/34g0Yyi6CgJvStlM2jRo3C06jN8DFaBrl6z6h+J21+Dx48FBjYVDJrgwLE0e1G 2fLEW1LyN+juSWN/0dnaWBTMt7Iq9HuNXifKl7JgQQpaBIeS6JlFjB49Gj2nkkGTZSxyrsxsOKdO nW4R/KONZKrrL3avNSQ+sqTC5ChkXI+lq8fMDeqoAZL/C2WhgqqcTkp0rERR1Vd+Ko1atG3bASzM rhkXMKGizmQIiZIkzfuZBwf37tixm52dfbUKYuNSfeIDyfJOyQhH7lj8LW6RgejAr6pXUteqrvar ombj69qaGlVVSqXo1q0HPjZu3DgadmoYxj7MV4n9ZAVzZsChjqXNd3NzrlperIvRWRghLlIFwsEH 0p83pD5dtJCSzc6S7tu00LYN1rZvqR35ky6smZosEx4+AE0GCCspZBmmOtTMKbHg8BkOh+eGWmIb ctqxlXbJbMPxbaanF80Waoh3Ap/S6/a/6J7YnNpj8qmoQoG/zKckaZpNCo1GeLgrF083TButlUxi 6NARtJYEC9QwRti+fTuplvYzGS9y8GY4HIou6iVu+m2jICEsEY3/Y14dP3X/btoV8wwX9pteXocv G1ibP9VA3YKPdWurHdZP172d1iWnIruDAmWbNFRrNCgjIsaT9xFkViIWL17MTJhdxqepYskMdrjm 4cNHmjULcXTMVrK4qnVzTYcQbWBdDfWJi7MlD9rZKgp/qWzaUBMUoNZphX81NVXZkD669iFaoDk5 KgAV0lSt0agmTPiVYCfpM16jKmNYJGOhcZB1TGYk6WfGsnPkyNHGTYJtJCM6tj5avzvOGBtpmBGh Hz9YPyJc93NPXc8OhIOWqrjIl0oyY8smmsG9dbxbBGlACk092uvq1iD21aNGjWGwBhakjKVS5oqM 8uAlDSwZyM6JEwnNm7eysTHX9BFbf/9Hx17fkJ5dku4mmM/tMe1ba1yz0DB/imHKSH3Ez3pca1BP Hbz80lsX8JUaHYY+KpmaPkqNRjtu/ITdu3eT3xkhslTKNuFDnZw2lgyBQyILDWtna2tTvZLYEKv/ J9HLOkbIW9+3pJfXpKfnzTePmU/uNO1caVwVZYiabECTVSpRy0cNR9UrKXQ6AysIxAir86RLhqIM mtB8RhnvxPIxcCiD6V4ZV+ZwtPevJrbIjCBcbxNkjluhsXFPenpJahpoSfqNAyy9WOWyCoPBHBk5 G20EC5NqFkfo95HodGL5GDjIF8NnJsYIMp6/aqHh9knzPwUYUpwGKL56KN0+bYYX+so2zbVgKVdS mM22UVHzqcGo8KdMmUJ3yTSb1Mnk0zoIxeC0Xx8jBWfOnPX1q6PVWIp2qixEqX5t9bQx+nN7TYl3 32QZ6hmISAbtsZQQbyrmqXTOoUCf8bGSxYStrUN0dAw9C7zgbExjWAehpHkvLCBNPxxW1rp16yY/ HKrxXr3D7e0dcLMN0cb10UYiGs/xKqLigQOtUjnV4L66/RtML0gxcvakkgHXE2nTMmNOJ0vS7N/V ogbFCgkHBye4YNkaLCzusDDEcglDP5a30s+LbFj64bDAh2aSvyZPnubmnq9wARE9S0sIMClK2GFa u8g4f7J+0nA9ahzWTPOm+VXQOSLInX/Uro8xPjpvptSZO8lgNiqokAFCm+mZXzg5uQAECDIW1nFo rimTPgDLe7FDRlu6dDnDopw5xOifVX9ceVOJvfElED2/LN05YQbXlqXGxTOoT/TD+us6hmkJEHcX JbU9HZm/jyVv1vFVkzShJr+HcHXNg4MR8mChHeP/SOQasFBavC8v78XOgQMH63/dyM5G2amVuHHC bPEf2XmscSGr1i3pxVXpwWlLoolfZWQINmucfsxAsqf2m7rqwgWV3zWwiFjfzjoPd+HhkX/Tps0x MdEyFjh653BMtjmNz3c62+XLV1q37kjDEvDVv50XYW5FkXLjX1yvrkuPz5kvHzTvX2dcNd/w20RL bUCR3Kez1jWnKFCwMIUxJSV5n39NMLRk0ZBl4j///PNtBUwaKKxfpQGHCpzaL0/uXLTw62LeJPq3 dV4pQXHkX1yW2uCidPOo+VS8KXqmwS2XKF68FAUYbb6VF3yM2Ce/0IuRLj/4xayAa1rRWTe4OP+j ox4m5I9sM1rmkPQsyRwsVRSpHgTaQ+n6UXMxT1G1Wg0WEBkP2traMoPlrziuhFCePEz8WD9ltfRj XizuUHtbUVg3SPqkYyYMVatWs7fT+lURUVM0D8+9iZr34khG91C6eMjkmU/U8K9HpDNN4s+H7du3 Z3WbTpm7MChjjkH7/5EvCm881ooi5QbOHL9rd7t2XV1dPVxziQ6hYt8GgyVLQlbaQWSl6ZHEEswX 7qLefxqCBQWjF6NBJnZoxHCwlDfNjCOEJFgASwXIuJXPOXOjfH3r2tkay5cSU0erLFUNoGgz8SWr 8ck2HknHthvdcopvGzWjLoIIeTjG+jvDMYYw3CLpFDQzgFivSUjy9CickFAqWwwA1/79B3r2Cmc5 kiF/cGOxbYX+NRCQ7pRkPbY5sNHo7Ch++CEULFSVDMdwp6TDsY/RMaud6dzgXiAiqTH/ARQlNKD4 SypMsRsTs7TefxrZ29t6FRGjBymvHDZZphwU1TJZj6X41UYHe/Fj6w74GBVF0uFYsoFSOu3JkNNw BkDhFTRQ+J485Kc9BB3P/Nix4z//MrxQoRIsLX1bX6xepPvrmpT43GbzMoOtJDp36Y5IojZJh2Ok gKTDsQwx8n0vAlPgomajmsIeyl18D7JoSWjhr1+/ERe3JiioRfbsjlRi7cOEjSR69w6HxKQDpVSH Y+9rScaeL3sgZBFW/HmJFp4kCFnySjFjz4iIiSVKVBw0aLA8HLMOlBiOvW2glLEWfsDVrGQRWRhJ dNBlwxR8YTYwiS90jEaMwQV5M43h2AfcPfN+Ai6qX2IBsuiDQAFNDCtYp6Dap2AGozyEedtwLPNs ++Ary2ShGCxKMj5CIggo+IIpiAMpX3HOB1//c/3QShaKAQq6Y6IM+v4fsVifoUwWSsgrKwD5H0AR J7sKZW5kc3RyZWFtCmVuZG9iago3MyAwIG9iago0MzgyCmVuZG9iago4NiAwIG9iago8PCAvTGVu Z3RoIDg3IDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2UgL1dpZHRoIDU5IC9IZWln aHQgNjYgL0NvbG9yU3BhY2UKL0RldmljZUdyYXkgL0ludGVycG9sYXRlIHRydWUgL0JpdHNQZXJD b21wb25lbnQgOCAvRmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0KeAHt0jEKACEQQ9H733Zl F9Fi0f6TQqb1p0tgmse8469lPHNV0z09oZPpRGnJJBMEfAmA5CpTdsEqE0BylSm7YJUJILnKlF2w ygSQXGXKLlivYvpmNW0D4JIh5gplbmRzdHJlYW0KZW5kb2JqCjg3IDAgb2JqCjkxCmVuZG9iago4 OCAwIG9iago8PCAvTGVuZ3RoIDg5IDAgUiAvVHlwZSAvWE9iamVjdCAvU3VidHlwZSAvSW1hZ2Ug L1dpZHRoIDU3IC9IZWlnaHQgNjEgL0NvbG9yU3BhY2UKL0RldmljZUdyYXkgL0ludGVycG9sYXRl IHRydWUgL0JpdHNQZXJDb21wb25lbnQgOCAvRmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0K eAHt0jEKAAAIw8D//1hwqD/I0E2Ia3A5mnS33VviI8iJIw4IQHI54oAAJJcjDghAcjnigAAklyMO CED6tJwtbw7bOoZYCmVuZHN0cmVhbQplbmRvYmoKODkgMCBvYmoKNjkKZW5kb2JqCjkwIDAgb2Jq Cjw8IC9MZW5ndGggOTEgMCBSIC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9JbWFnZSAvV2lkdGgg NjYgL0hlaWdodCA2NCAvQ29sb3JTcGFjZQovRGV2aWNlR3JheSAvSW50ZXJwb2xhdGUgdHJ1ZSAv Qml0c1BlckNvbXBvbmVudCA4IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4Ae2YsQoA IAgF//9/XR5FBbm8WZvinFyUOE6FQs0I7WaIDpcgHFIkOMDBVwo+4MNjH4b3q+RalSqvaR+9/aDD 9BdVcmYzqcEBDj4/+IAP+OAE8MFpfLIfovl5oDi13mpzCmVuZHN0cmVhbQplbmRvYmoKOTEgMCBv YmoKOTcKZW5kb2JqCjgzIDAgb2JqCjw8IC9MZW5ndGggODQgMCBSIC9UeXBlIC9YT2JqZWN0IC9T dWJ0eXBlIC9JbWFnZSAvV2lkdGggNjIgL0hlaWdodCA2MiAvQ29sb3JTcGFjZQovRGV2aWNlR3Jh eSAvSW50ZXJwb2xhdGUgdHJ1ZSAvQml0c1BlckNvbXBvbmVudCA4IC9GaWx0ZXIgL0ZsYXRlRGVj b2RlID4+CnN0cmVhbQp4Ae3SMQrAMAxD0fvf14tCIS3poFVozffkQcLwkpF2N480bfdcrC/T7l7s a2He0KGGWi7Ab8mtnETNFvmGWm7lJGq2yDfUcisnUbNFvqGWWzl5rdqomLX+0rxBtvFSCmVuZHN0 cmVhbQplbmRvYmoKODQgMCBvYmoKOTQKZW5kb2JqCjkyIDAgb2JqCjw8IC9MZW5ndGggOTMgMCBS IC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9JbWFnZSAvV2lkdGggNTEyIC9IZWlnaHQgMTI4IC9D b2xvclNwYWNlCi9EZXZpY2VHcmF5IC9JbnRlcnBvbGF0ZSB0cnVlIC9CaXRzUGVyQ29tcG9uZW50 IDggL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBtV0F431Vsf2Izw6wQbFbCbsDsAgV C0xQTBQLsAEbAwOwwQbFwvatc9bd67dmz8y59/f3vfsV9plZuff9n/+5293udve73+Me97jnPe95 r3vd6973vvd97nOf+973vve73/3uf//7n3TSSSef/IAHPOCBD3zggx70oAc/+MEPechDHvrQhz7s YQ875ZRTTj314fg94hGnnXbaIx/5yEc96lGPfvSjH/OYxzz2sY993OMe9/jHPwG/Jz7xSU960pOf /OSnPOUpT33qU5/2tKc9/elPP/30088448wzzzzrrLOe8YxnPPOZz3zWs5717Gc/+znPec5zn/vc 5z3vec9//gte8IIXvvCFL3rRi1784he/5CUveelLX/qyl73s5S9/+dlnn33OOeeee+4rXvGKV77y la961ate/epXv+Y1rznvvPPOP//8Cy644MILX/va177uda97/etff9FFF73hDW944xvf+KY3venN b37zW97ylosvvuSSS9761re+7W1ve/vb3/6Od7zjne9857ve9a5LL730ssvejd973nP55Ze/973v fd/73vf+97//Ax/4wAc/+MEPfehDV1zxYfw+8pErr7zyox/96Mc+9rGPf/zjn/jEJz75yU9eddVV V199zTXXfOpTn/r0pz/9mc985rOf/eznPve5z3/+81/4wheuvfba6667/vrrv/jFL37pS1/68pe/ /JWvfOWrX/3q1772ta9//es33HDDN77xzW9+81vf+ta3v/3tG2+88Tvf+c53v/vd733ve9///vdv uummm2++5ZZbfvCDH/zwhz/80Y9+9OMf//gnP/nJT3/605/97Ge33nrrbbf9/Oc//8UvfvHLX/7y V7/61a9//evf/OY3v/3tb2+//fY77vgdfr///Z133vmHP/zhj3/845/+9Kc///nPf/nLX+66666/ /vVv+P397//4xz/++c9//utf//r3v//9n//8h8fv5x+P/2T8xvmn41/OH8f/iNMeeVo+/uX8cfxP XI4f5x+P388/Hv/z8bPzj8d/Dn52/vH4L8TPzj8e/8X4jfNPx7+cP47/PZe/9/J8/Mv54/g/shw/ zj8ev59/PP7r8LPzj8f/Dfzs/OPx34yfnX88/tvwG+efjn85fxz/7+/8w535+Jfzx/H/fTl+nD+P fzn/u6/jj/nn+GP+p/E/eTf+nP8x/qfitxz/Mv8Yf34AY/wfj99y/Lv5x/jjAxjjfwbG/4wzzzpz N/6cfxt/nj/Hn/Nv48/z5/hz/m38cf4af8z/NP4X78af8z/G/zL8luNf5h/jzw9gjP8V+C3Hv5t/ jD8+gDH+V2P8r77mU9fsxp/zb+PP8+f4c/5t/Hn+HH/Ov40/zl/jj/mfxv+23fhz/sf434HfcvzL /GP8+QGM8f8rfsvx7+Yf448PAON/NP9Y//wAMP/4AGz9T/OP/T/W/27+1/2f1v9u/tf1f4z51/rn /o/zr/XP/R/nn+tfHwDmHx+Arf9p/rH/x/rfzf+6/9P6383/uv6PMf9a/9z/cf61/rn/4/xz/esD wPzjA7D1P80/9v9Y/7v5X/d/Wv+7+V/Xf5j/3QIY8z/t/5N0/Av+R/j3+ef5A/8j/BP/E/xj/wv+ Mf8R/n3+0/n7/Mfz1/6v4P/it+j4F/yP8O/zz/MH/kf4J/4n+Mf+F/xj/iP8+/yn8/f5j+ev/V/B v63/Bf8j/PP8Of88f+B/hH/iv+C/mP+0//UBAP/xAYz9L/rn/G/sf9A/7n+nfwAAo3/6AIj/4H+D /jn+Y/+D/oH/rfRvwn/s/0j/uP/F/+L+1wcA/McHMPa/6J/zv7H/Qf+4/53+AQCM/ukDIP6D/w36 5/iP/Q/6B/630r8J/7H/I/3j/hf/i/vf5x8fwNj/pH/r+j/if2P/g/5x/zv9O+J/oP/C/2n+j+hf Of89/ef+d/4/8B/03+cf548FMPCf/M/pPz6AiP8T/Qf/H/Sf/K+c/yP6V85/T/+5/53/D/wH/ff5 x/ljAQz8J/9z+o8PIOL/RP/B/wf9J/+r5h/0H+dP+n/A/MfzXwiAfQAB/6X/eP4gAEP++fyn/b8Q wP34X+1/zX+z/3v8l/7D/scCMP4H+u/4j/kHARjyz+c/7f+FAO7H/2r/a/6b/d/jv/Qf9j8WgPE/ 0H/Hf8w/CMAq/267dRl/fgAd/9+P//X+J//H+Vf8D/Kf+B/53zj+if9T/jv/j/pv4f8rAejlP84f 8p/7P84/zl/83/Y/8V/8v+F/kP/E/8j/xvFP/J/y3/l/1H8L/18JQC//cf6Q/9z/cf5x/uL/tv+J /+L/Df+D/Of8R/7X8H/Kf+f/R/qP9o/mP+E/5T/8n038b/g/9n+v/2H/wP+J+h/8X/wPH0DF/7D/ G/7v+j/rv0sW/Qf/ZxP/G/6P/d/rf9g/8H+I/2P/g/+L/+EDqPgf9n/D/13/R/2H9c/9D/8H85/w fxGAW/OP/T/r/23+P/wfzb/xP+m/If8X+w8CYLX/pP/wAWD/m/6X/QcDAPPf6H/OP87f8F/8r7H/ XP+v8k/6T/6P5t/4n/TfkP+L/QcBsNp/0n/4AJL+J/7DAMD8N/qf84/zN/wX/2vsP9f/0f+h/Yf9 r/k3/if9R/1P+w8CYLX/pP/wAWD/b+n/6P8chv/R/1n2/+N3/o/bvxAAi/u783+b+Zf9R/832b/H wf9V/8P9hf17GP5H/2fZ/1fs/J/V/pv8P9i/AIBm/mX/0f+t7F/N/z78X/X/rfB/1/nfxH+ff9d/ f935P27/7vTfxP8H/p90/5NOTvq/wf+o/+n/0f6n/w/8X/Xf6fwAhv8/xn/i//T/V/if7H/o/7H+ F/8/4T/4n/i//B/4/+v5r+t/G//j/qf/R/uf/j/w3/Sf/N8x/hP/p/+/wv9k/7v+j/ov63/zf7T/ Nf8J/2X/w/8f/J/+3+L/Dv4f8N/9/4T/Pv+b+j/GP9T/xP+K/5P/Mf+B/5P0P/zfBv/1Aaz03/l/ r/85/jSAN/Ef84/4x/wf6n/if8X/6f8w/4H/k/Q//N8G/53/G/+D/3fi+l/4D/83xj/yfzX/R/of 5z/sXxw/xl/+L/OfJv4j/tP/7/lfg/8QAIr/TP+T/0H/i/8b/tP/Ff+vzt/nf5V/rv84/6v94/4P 8Z/+f5x/+j8LAKwGUMR/6n/qP86/6X/yP+h/8X/Df/m/Pf5D/zX6f8i/hf9V/p/mP52/9P+M/9z/ 8v/t/Bn/Kv9N+p/6DwEQzh/5r/l/Hv9G/1/4zw/gGPyf/E/8n/vf/J+s/yv/v/F/If8RAOH8sQDM /0P8x/1f8f9N/O/5v/jfTgCu/p/5P5T//AAi/4P+l/9X+T/Uf8x/4/mv8d/O/in8f5//gf+M/7n/ Gf/H/e/zjw+g2f+c/6j/3f9L/g/4X8Z/GMBr/D/5/+b/bOp/+v/Y/6v8n/xfn3/ufzt/7X/y/6j/ J/4f/X/wv4z/MIDX+N/xP/o/m/jv/D/pv8n/JwAM/5/8nx/A7P/4/Ff4j/3P/gfnHwFgrH9w/tP5 k/+R/0f91+f/2v/Ef/P/z8YHgAXQ5v/I/zb1P/g/9j8/APp/CABj/YPzv8K/8h/pP/J/y399/zf6 f13/qwF05P/fgA8AC2Ctf4j/J/yX/xf1P/k//F/2P7j/EQDG+gfmfzP/m/c/+Z/8P9v/lP/Y/5x/ nH/k//R/mf/j/C3/m/z/NP+b+J/nn/nP2X78E//n+bv/Z/gv/sf5x/lH/4/+L/P/xP+E/8p/EQCx /mP5P/yfhP95/pn/3LCMf+P/if9V+E/+T/1P/I/8n/zP9f+Y/78N/cf+z8z/sf8b/Bf/b/Jf2P8N /o/6x+L/DP3n9S8RwJj/cv+L/0f+5x9A4n//T/g/6N/i/6T9L/2f/H/uf/H/yP+4/5v5z/6/5f/k f5X/h/2v/A/zX+k/+n/1/tf8J/wf63/Kf/fh/2IArQEwzr/Z/43+d/5v/o/4X+X/Ef+d/0v/D/9n rP8J/9/NAsDo/1T7v+L/iP8c/6P/q/xP/N/8H/K/Yf+y/qP8Zx/+k/9J/w//747bF/jv51/5b+3/ uQC0/Q/+r/lf4/8u/2/0H/P/yP+Z/3L/y/8/VP8D/l3/G//T/pcBZPuf9U/pf+L/2v/x/tc+/Nf+ j/m/+3+H6n/uf81/9P8O1v+N/uvxn/M/8/973N2Pf9L/o/455f/q/63rn/bvpP828r+1/4P9f4D/ b/Mv/sf5j/6f+J/8Pzt/4D/934P9f+v/TPlf9P+U/+3z/23+yf828b/R/2b/LgFQOn/P/6D/3P8d 9V/O/4z/+gCi/zPNf6P/lgLoWACj/yX+dyL5H/sf9P8T/kv/Hxv/yf+T/8f17/2f6P+R/1X6n/6v z3/M/5z/J/zv879e/0/+Pz+A0f/T/m/mn/kv/b+Q/6z1H9K/xf9L+E/+L/439F+Z/8Xzx/5P/p/7 Pwn/2f/c5P+N/7ep/5X/9PO/6f/B/mv0v/t/B+j/iv+v9Y+lALL2f04Q/9H/8vwv8j/2v07M//f8 P+k/+H/q/0X9T/9v0/9n/pf8n335v/Af+z/hv/o/m/l/1H+o/7P/tRTAV//f/B/6f/L/o/5f479d /pf4f+//af/L/0v43+t/5/9p/2/6//R/5f8f9b+m/M/4H/3/af5j/7v3/0n/lf+h/7fmv+J/xP/Y /5P/I/8f+D/6n4v/f850/Dn/ORH8R/+nn3/qP+V/sf/n85/0P/a/8//R/zzA//f+z1r/2vW/BgFY 6z+5/zHqH9n/of8r/y/sf+Y/AIDq+pfz/4j/uv5V6X/H/0r/T/x/9D+1/yv9r/5H0/85TP9X+K/5 T/4//T/Nv+l/6j/p/6j/2P+H/1Pp/8n/5/7f7P+Z/t/0/6f5N/6n/gfmf+b/8v/4Adj8k/9J/9P/ tfnn/pf/Z/0f9T8S/nP+1f+L+5/93wb/yf+b/D/z/0b/V/nP5P+l/S/85/4f/p/rf+7/of+o/xv/ T/u/7/85/7f8X/4v57/Z//D/GvzX/Af+L/9f82/9X+B/lf+dygsAA/9J/5P/u6n/Pf+L+t/5f9R/ k/5H/2Pkf+J/B+t/8/+5/6X/9/P/q2AAr/4P9/9h/n/sf/b8f1P/A//Z/6H+M//3d3cE/2/K/1b/ l/UPzn+R/2P+e/7f9D+p/2P+l+//mf8v/t/n/4fNP+hfxf8q/Pf+D/P/5P+v8W/mf8z/NP/Y/6b/ lf82+X8//+7/x/yP/r/Pf8L/Ef9M+O/5X9X/8Pw/zv8ogGD+Y/5H/uf5X5X/VPg/8f/k/079H8N/ 8H/6v+z/JP3vBND6X9j/wH/kP5z/pv+p+9+p/0n9n/Df+X/0/9z/Vf/H9P9/5f+D/1X5/6T/4/6n /av+n/n/3v8u9P84/oUANv6P8r/Y/x3rX/aP7v+R/1H/J/8X9T/P/5r8B/2/2P/f+f/n7vr/yf/h B6D5b/A/9X/g/2/yf/Y/qP+j/pP/k/p/uf9j/t/k/x+j/+f4X/l/AAD2f5r5r/t/Gf/t/q/r/4r/ N/of50//1/u/4/7fvvyf+7/q/2X8t/s/m/k/rv/T/4/8j/6/+H/S/+p/MP83/p/xP+k/5/92/uJ/ 8v+Pkf8L/9X/GPm/9r/7f7H/Xed/0/zv8/+M//v9v9j/8vmv8r/1+k/n/5P/Hbv/y/2v+Tf/3/2/ Sf9duqv/SP+z/zX6/9r/jf5n/xPzn/yf669b4J/6P93/2If/Y/3n5z+a/G+5/zn4H/l/8v95/a/I /3z+e/xP+R/8X+o/+v+9/6f9P/wf7n/n/4b/zP/h/zT+v/Cf+3/wf+m/Ev/H/W/v/6z5H+7/qv8l /m/6b+r/xPkn/+MDEEn/T/d/e/8/7v98/7/if8z/gf/G/33+aQCl/ned/7n+7/G/uv+n/k+l/6b8 b/T/M/83/Jf+t+PfuP+7yf8T/qv/F/1fnr/z/6H/1P/3/N/4f8Z/0/+j/sfrHzj+6f6v8r/k/0D/ Of+P+p/7v8n/lf+t9Q/1/+X/1/qf+7/x/6T/e/1H/h/nX/u/6f9N/D/pf86/7v+N/uc+/Bf/z/7/ +v5LNf+w/+n/cP5j/1f6r8n/mP+S/1f4vxiAdv9v9D+n/N/wn/kP+T+ef6r6f7r/E+//Kf8B/lf8 L17/tvef5P83+p/+n/K/iP/0/ykAvP+N+19WADX9f4D/D/7H+Y/9T/m/Vf7P+qf3fwz/Pf+f8H/d /6v9j+Mv9b/6f6n/Nen/mP8p/9H939X/R/9z4v+9/sf7X7H/fQD/hwAQ/o/9P80//J/Z/2f+3+h/ +n8N/qv/tzn/8fyl/9T/Mfyf9H/0/9D/6/N/5/9R/7P/w/w/8v99+E/+t8a/0/tf8v97/Cf/4/wn /Nf9H+E/AmB7/g36fx1/rH+9/7N5/3/Uv5YPIPm/yH+Y/1b53+j/VPpf9u8m/kf/b/P+v/Bf/R/D f+U/zP/i/d8l/8PvFUf6P+H/sH+w/t+wif/m/yz6/920f5b7H6n/5/2fpP+9/xPnX/7Pvvt/hv83 ff+mm0kAV/uHHwDOf7z/4PMv/Tf6H+J/mH/u/5j/tPf/yf8a/D84/8P89/5/5f819389/6/8n4n/ H6r/p/5/8n/9A0j8v8r/pP/V/+nxP77/gP0P/J/8/9H/cP7P+a/4n/r/Df/v+R/zv7D/gf+sfzf4 z/y/2f/K/yv9r/5v3P/yf9j/6e//if+t/f/N/I/47/Nv+M/9L/6f3n8S/lfzL/8v+r86f+z/3v9b 6V/5/oP4v/a/9X+o/xP+5/7/6P9O+j/xv6X//7eF/m/1/xr8d/8/+r/Uf43+Z/9D/p+9/8Xzb/o/ U/8/4f9h8x/xX/yv4v9Z/w/95++/yP8z/Qf+R/+n9//F/3v8b/gf8b/i/9P9n7T/K/z3/L/t/zf4 r/mP/u8B/T/OPy+ArPWf6f6H+n9R/yn/M/6v53838d/5f8J/9f+t/y3+J/2f9J/mf9/9X+C/6f/M /1P+29z/5f0P3P9J8w/8l/5P+K/8p+L/3v+p898e/6f5H/3P9fnf0P9r8J/9Hzt/n/94/5f+j/L/ yP/OWQmg+H/V/+71v97/qPj/lP83+N/s/x7/nf+b//ONcf+r9/+l/yv95/k/9n/0/5H/SP9H/uf8 P+C//L+0/9X/Vv5X5b+sf0f8n/o/Pf7ve/8n7v9zVwFI/R/zv039L/1X3f+j/6P5j/wf+s/5/+T/ 2vtfyf+X/9vwf/C/ff0fzr/xP+K/8v/G/+X8x/z30Pu/9H9H/0f3P/3+b/R/DtD/8v9H/rfGv4v9 X+l/x//I/8X/mv7fpv7X/Ff+j/t/8fwn/z/pv77/p/1PAxjzH/uf0v8V/mv+K/xv/D/lP8T/qf+z vv/s/Z+j/i/93xO5/5f7f6P/vz7/Xt7/m/R/3P9T/zfyf/h/rv/T+w84f+f/hv/if03/3/P/Cv/p /6f9T/4n/h/1H/1/5X/G/+j/if+b/pf/Q/+/wX/Of8z/Uf/P+r/x/8D/wv7H/S/d/4n5n/Y/3/+L /U/2f5n/I/+J+5/+P/v/af4d/2P/k+dP/7fp/wj/sf+T/+MfQNR/0v+p/6H8ZzGAV/8n8n/yP/F/ 9L+t/6n+X7P/1f81/Gf+L/0f9Z/6X43/p/4v73+b/sP5M//Zx/+L/u+4/l32fyr/n/f/lP8n/0/5 j97/iPpP/d+q/z/x//T+J/b/ifz9B/U/+B/1v/U/uf/X4z/Y/5P/C/7X6H/1/6L/o/5Hxf+V/4j/ G/47/4/zP93/yfo/vv8f+38ygOb+l+N/yv90/9vzv/H+o/a/9H/i/33+7/w/8r8FAFb/Fx9A4n/7 8F/3/5r8V/Of+H/l/9P/Uf6X8n/lv57/rfe/cP45/zP/j/lvpf/F/3T/3/y/fff/2vs/cf37/V/t f/D/yv+f+n+V/uP9n+j/Kv+B/uf+b/R/xH/6/9z/mP9K/zX639//6fUf5z/i/4fH+4/9/T/OP/Y/ 8R8PwF+71P8m/m/4r/0v/h/vf/H+p+Z/tf/19z99/4f7f8i/5fmfSv/B/5vzP/V/4P8QAKz/B/+f +r/yf93/M/zX+4+b9/+q+ff+B/s/mP9x/2vKfyv8P0D/J/xH/qP+X+P/yv+P/J/5b5//Nf0/8b9e /4P/Vfiv/a/+T8R/v/8T9Z/efxnHH///BfxP/D/e/2H/Q/Mf/d9HPFz1Txw/xt/7v1P/J+3/Vf4t 8n/T/+/733H/s//t8x/53yX1///Q/xP/r/jfRz680P99/T/u/+H/bfZ/p/mP/N/v/yb9f3D+1+Q/ 3v+d73/wA4j9L93/JP+P/u/E/9P5q/6R/d/x/vtSAJ3//8X1f9r/q/2zy3/j/uf9H/H/3v+P86/+ b9P/n/Q//B/z/9n/4vwn/q/8V/jf63/r/5D/N/pf+Y/yP5t/z/97/lfMv/o/Y/3r/U+//9f0f3T/ x/Y/839//6f3/9bxB/zn/39J/X/i/2b+0+h/9n/p/xP/Y/6r/K/vf1f9f+5/8f+o//fhv/Q/9F/C /17/A//d/7Pzd/3fzL/6f0H/0/91AIj47/2f6P+q/8v+Z9r/vP8n/9/6v+x/0/+r9j/6X1X/X/yf +u8Y+l/9/zj/yn80/9H/6/s/m/yf/G+tf39J/l/Kf/4r/E/3/3j+9P9x/gsB/LP+/8nzv1n/9+// YP7V/2n0n+a/2v/K/zD/Q/9P/l/a/+x/VP0f8j/5P3H/6/5X3/9X/pfyf/K/Rv8vAcCK/7H/N+n/ tP+n+Tf/R/zvRPS/+H/O/9b+P/t//f7fyv9T/uv4n/Z/xn/Tf0v+8wQdf/n+2wn6/57/xvt/+/R/ df/H+R/1f9R/7P+S/yf/1/E/6X+cf5P/Tfp/0/+L/r/r/8b/4QWwMf7l/Cf/N9i/nf6v9J/r/4j/ 8n/l/0X+7/4f+n9R//P+Z3X/Z7V/VgOo9X80/9H/t+tfGH/A//T/j9j/mn/3f9cPgPy/yv/Z/6D/ F/Ff/I/9317/k/+b/3OY/k/+78L/fsfj3/X/Gv9/3v/Cf+W/I/8T/+vzPwnAuP/p/x1w/38RgMvx T/zP8X/of+Z/mn/u/3j/5wD9n/zf7P9H/4/5r/v/8f2/hv9r/4v/R/zfzP829T/4n/w/8L+Y/2v+ D9f/4v9V/0/6n/gf+d90/yfyP+f/vf8X+T/8H93/Iv/f1P+R//H9F81/1P/Mf5v8X/o/+T/if67/ Y/4j/p/6P+R//4f5P/U/BEC6/0P/v3//R/yvuP9H/xf8P+k/4j/9vwr/uf/V/zP8V/4D/z/mf+R/ uv8Tz1/5r8//yH/Q/+H+r/ofm/f/1P84oP+X8J/8T/Mf9b/7/3H/+/zH/If9X5//g/U//v9v/f9n +X/m/0v/Vf0f9b/Y/w35D/c//D9+ANH/owBQ/yf6fz7/Ef+V/zT4r/v/+/h/lf/0/Y9N/a/+r+H/ ZSCA6/2vpv8j/lfqfxDAlQAA/yv+P82/+T8sgFf8X/3vY/v/zH/k/8f9P81/OH/5/2n+D8D/A/o/ 1P9D//n9r0b/K/9P/Z9z1/ffmP9G/af+V/X+j/ofmH/o/0r/uf53/rcWwGj/Rv6v9z+w/xEAJ/5P /tf3f08k/6f/P+H/2v9l/8Pz/9j/Uf+L/t/s/3j/P87/hP+Y/9H/1P1vf/9r9H+c/yf/F/0P+j/q /xr/A/47/zf89/yH+W/Ef+q/Hv/d/4v8f9P/a/T/Af1/5j/k/6b/6f/L/wP/N/9vM/+X/9vgP/Mf 9P829f/M/9X/4fzb+w+u/6n/jP9N+j/tf/n/8v+s/+cfQLz/5fd/Gv+/6X+w/4X5v+ii5f5X5H+T /xf9X+//Jfwf9g/G/2Mx/xvr/6gAYu//HKz/qf/s/b8+/1f+I/xP/q/7f0n/sf839//J/3r8B/9r 8r/N/s/B+V/S/33/B/yv6X+I/2H++QHE82f/i/2/av8T/zP/JwGo8z/lv1X/R/s/8X/6f9j/yv8j /9vU/+r/V/6v7v+n+df+L/j/PvyX/x/zv83+z8T/o/7j/lf+H/U/93/F/6X/S/y/YGf/+fyP//9e +h/jA9j0//v8R/w/vf9a4b/6H+z/Rf6v/X8i/r/3//r7//L/xvs/zP/39H+z/5v+/zPyf/f/4P+Y /gP/d/0f87/c/zH87/1/nj/8f+i/TfzH/GP/m/+X878G/zH/3P/x/Z9N/4/9X/L/Jv+P//+r83f+ P/w/3P+95WbaP7v7P9b/W+5/r/qvwn/1v9j/r/o/yv+2+L/hP/m/5t/6v+h/Ov7H9x/U/znA/4v6 v+z/DP3v+W/T/2T+D/zP738MAzjNv7//Uc2/9H/F/9X/Bf+v9H/T//X7vyn/3Yf/6v/H9//Y/9oZ wOsCGPjP/3/l/e+a/7P/U+l/8f+q/+f6P/q/2P8T/g/95/5Pxf8x/87/qf/X918y/7f8h/0P6n/O v+E/9Z/4f8R/6v/K/7/iQ7v/f9b88/7P8P+m/D/e/xf/O4D/Hw//lf83+1/zP85f7394/2e+/7HP /6P/G/c/+Z/8v8r/Zf834T/9H/Z/Iv5n/r/6/2eP//+b+p/R/9f8J/5P/5f6v+//av+P/38B/dP8 N/y/8f8z/0v+T4X/6n9V/T/pv8UAHv//Uvn/if+5/zfz/8n/j/pf/l/yf13/V/0P6j/2fyP+8/4H +F81/wf4/z3++/xH/B/rf/f/34b/6H/K/0/7n8fP/D/uf+l/9/+j/vP+p+V/+/g/9n/T/5L+W49/ +fsX83/Z/8L+7+df+D/7P7z/k/S/+h/V/R/yf/l/0P+R/3H/V/3/fP8v5b8V/8f+p/5r9D/zH/L/ hP/T/Nv5y/9FAJz0H+d/yD/I/67/V+E/8/9q/+f+v+n/fP/b3n+h/vP5j/f/D9D/hf8j/6+5/0X/ P+o/8b/e/+P7v/B/qv3P+T+2/y/+H/3fSf/H/S//l/lfxH8+/0b8j/Nfvv9n+g/4r/w/+v+s//v8 H+r/5ftfxv89/4v9nzvw/38kgOv8c//H/tcJvP/j/l+z/zX/if9R/6X8T/6/+j8R/7n/Of/J/1cA mPi/+J/r//j/3+B/nv+N+1/if5z/3v+L+1/9L+I//f+o/5YC0K7+h/UP+Mfzf/r/Z/n/0f+b/N+p /wP9t/Y/G/+P+W9z/9fv/0P/HfW/gf+a/9j/Vv6j/M/8X/k/1fzz/r/mP+H/1P+J+t/5v/n/Wf8b /8/zn/Df87/k/zb+n/gf8z/y/9H/YP9L+J/0H/M/9j8N/9X/avw/13/N+w8H6P8q/yP+Y/8fC/+p /6v5p/7j/T/z/6X//f7v0H+Yf/k/JIDm/0/6P/r/Gf9j/sP3n3v81/xP+3/wPxbA0P89KP+b+r9x //P+x+b89/n/tv9r+f9CAJf6D///2/u/if/D/3X9X/g/jP8r/Kf/n/Qf8Z/9X/J/43+T/u/xP/o/ uv/N/m+z/8n/Txz/Pf8f7z9r/qv97/3f2P9Q/s/9b/xf/b/U/5r4f8z/Mv7b/T/pv2r+5f9U/B/6 j/u/7v9i/5f3f+D/8gLgCgDm/+Hvf6T/ev1P/y/lf8p/q/x/n/8v/R/vf10I///CRf4fjP98/9ve f9f8x/5fr//l/1T5/wH+zy4AWuJf2L94/pPvP3D/s/8B/I/8r8d/+b9V/0f5D/s/xf4f9Z/c/9X8 8/wt/1f+h/m3/T/d/4n9L+3/w/h/wv8p/6v8n8r/Z/6r/l/Sf+7/pfOn/xf5n+9/9n8S/k/83/wf 6j/3/8f5g/9x/1f+j/N/+T9p/3P+E/5j/9P/q/0f3f+B/2P9X/q/6v9W/K+Zf+j/fv7l/3H/R/2/ 0f8ZBUDwf+z/Cv8Z//b6X/3f+P4/9n+l/+X/pPzv6quuvmYtAFT5H/B/8v8i/0P/q+H/2v99/6vq /+j9B/V/Y/+H+x8fAP3/gP/K/5P/o/5no/95/4vvfzX6j/2/hP/i/5X+d/6f7n9L/0/7nwWwev+7 /8/8x/j/pP8T/mP/y/+v+h/M/yL+6/4X+19N/qv5t/6Pzr+af+D/lP9b/1vvP2H+K/7H9x/4AYTz V/8n5b99/kf8l/9f8T/6v67/7f6f+j+J/7n+j/x/yv/j+VP/uf9r+Q/z3/7+j/d/Vvr/gZH/Sv9h /tP+d/yv8l/uf/h/zf+/TPgPArC+/03/V/gP/mf+n+f/5v+y/6f7/4j/0v53/Q/8P9L/0/xH/x/7 v+r/nHrKqQ8nATxtWf8x/y3f/x76T/f/+vv/3v/p8T/x/+z/jv6H+t89/pP/0/9z/bf//Q/Nf4X/ 6n+a/5P5/+B/N+H97xX//f5H5H84f+Z/Ff6r/5/mf6X/KwHYPf9h7z+o/1Plv7oAmvTfOP7lA+D8 N/mf8b/T8QAsPoC1/8n+T7P/K/+f+X/D//f5P+7/T/qfAFDj/+T/V/u/wX/yf+T/9P8T/k/6f/Q/ tP8b/Jf/H/3fffhP/r+n/5P63/J/gf/J//lv/X/Nf/R/uP91/7fq/1f536b/6/4/7/9H/q/+b8x/ 6f/r/U/t/5j/c/6T/yP+l/T/1P+p7n8q/4v+n+v/dP/P9X/l/wv/wf+D/vP5h/+b+j/Y/8r/Ev9v /H+9/9rkfxP+H8r/3f9P+1/9777/2ef/7P/H/Ifvf5P/Zf6PAGANgPr538R/5//G/25G/2sVgI7/ 8f+/yf/T/qf+V/6X+D/1X83/T/T9n7UASPiP+a/6nyn/V/+H84/9H/Ofqf9j+M/+T8P/sf8d/2P+ R/yn/5/035L/b/3/B/2f6v4P+989/jP/pf8P/Df9v3n/Z2cALPU/2j/6/xfX//3+b/S/5n/Of8n/ XP/H9z80/03+W+l/3f/S/A/+p/yP+J/4f+7/HNr/Y/+f/e90/qz/av7j/nf+n/Sf+v/a/zH/wfmn 9/89/634P8+/7/9g/wv/jf/x/3+m+bf+j+7/JP7n/l/t/1T+3yb+M/9z/7/if43+5/4/oP9zMP6v /q/3vyz/28R/o39LAYT6L/W/qvxP+q/q/y8GEAPAVf8Z/5v4f8J/7v9K/0/zP/Tf7b9d6J/yH87/ tP/H/78X/X/M/y4AXp//28T/1P9r7v9r/7v+H/d/3P8/gP/H+//i/xX+S/9X/h/zv9T/nfL/fflf zH/y/d/1/Ue9/yb+b/pP+a/m3/Cf/F/zP+X/w//p+z/y/6j/R//f53/e//ve/4EBIP4f+Z/3/5P/ P/V/7f0P5r/0/7H/E/5L/8P/MfxX/1v8P+b/x8F/8//U/8L7H9X8i/9X/U/kf1z/if9P8x/P/7/C f+r/hP/s//H+b+L/1P/u/wf/R/Nf5b/q//f4v+n/If9L/u/k/1v/w/2/Jv+t+n/SfxX+4/6P63/L f6f3f6L+A/93/2+9/ofxh/z75FVXIf+B/+/zH/vfyn8b/Bf/j/sf/s/i/91yhP+b/l+6/6f5t/3P /j/5H/O/6P8erX8+/6r3/9z/T/rf8b95/1sBUN//4f4f+o/9j8n/H/xv4v/c/1X+t17/mO7/bPR/ BwHQ+z+W/30Y/l/9/qf3v4T/o/913RoA9fy/z/+w/6X/+v9/a/L//v6v9v8W/sv/sfzP/b8+/8f8 T/sf73+tAaD4f9r/6v+Z/+P9j/79P81/yv/A/zj/Ff7T/2/wn/lftf89/0/9L/Y/9QC89z9WA5D4 H+9/kf9t+n/0fygAV/uf7z/T/yH/T/uf/o/0f/L/W/1P/wf8n/5v5H/Z/4/5P/gf/f8q/1P/z/a/ /P9N/If/W73/w/53g//Uf1X/Y8r/ov8L/Ff/X/t/5D/j+seVjf7v+z/0fyv/n/4f9v9m/gf9t6n/ 6f9Y/0v9j4r/+/zP/E/6X/Mf9b/jv/E/9b8q/9/1v/z/kf8d4P/D/23mf5P/a/6T/mf/o+//HjD/ Sf9L/6X+j/Q/zp/+f8X/9AGM/Af53w7/KQBq/0fzv9b/Nvp/1v9m/k//f9b/1H+c/9j/PUD/+/zH /p/u/6z0D/YPjp///4fzJ//r9T/nv8l/q/kX/9P8m/5X/qv8z/g/4J/+j/B/5H/q/yv/x/6v9B/7 P5H/kf/39z+x/zX/dv6b+E//p3//S/hf5b/sfxb4L/8f81/xf/l/Ff7L/4/4T/3P/m/D/+X/Nfpv AYBF/k3v/2v+U/5P/dfjf9P/1f6v+j/g/9R/9P9T/kf9x/lP+S/5H/m/+T/a/9L/8fzl/yb8p/+j +Y/3P9X/UP8v3f9k/6fe/9X88/4X9T/ffxn+z5L/42f+f8R/7f/k/7P/p/d/ev9nPf5t/R/5H/Mf zb/1P4D/+/p/yv+T/8v8B/if9j/zH/n//fzH/o/4H+c/6j/3fxL+l/2f2P9r7v8t7z/E//890v/q /zT4z/mH/ov6X/qv8v/d/+P+P9T/V/7b4D/6n+T/m/5fwn/p/5j/4v037f9q/sH/ev6/xn+L/5P8 /9z/S/gv/R/738T/3QMQNf77/f/I/+T/r/UfwD/f/5X+F/6H/Jf8T/Nv/N/xP86/979H/Qfw7/// wftfyf8X//f8P+p/+H/i/8n/X49/9/6H+X9L/xs/6/8l/B/Xv0D/Af/T+7+a/+T/M/85jP8P/e/+ 7778P97/Iv4P+rfkf5b/aP/3+l/+X6X/lgLwGgDP/g/9v038p/+T+L/8/4j/uv/V+//E/z7/3Tf/ xP/k/zT4L/4P/c8PwPq/1H+a/8H/Jv+v2f+c/3j/l/1P5j/i/5b/bt7/7fFf/I/3/yL+M/+p/D9/ /6HO//v7f+x/V/1f7X/Nf+L/9P+Ox/+V/yb81/0v8n/s/4j/HP8G/7n/wf/j/ufzn87/e/zP/u96 /5f4X/n/jP84/xX/c/yv+l8J/3P+F/3fqf8X9d9B/D/qP+//Nv4v5z/1/8T/6P+Z/+P3P3j/J/l/ 9H/F/4f/q/uf8v98/0MArh9A5f9T/23mf43+9/4/5z/qP/o/Sf9z/2v+Y/9X/E/83/I/9n/k/6X+ F/p/5P9N/+eA+S/4P/s/7H8n/F/rX6R/WP+w/x52yinAf/R/lf+l/q/4X8X/lf9C/yf+L/7H+U/4 P93/Oe+8884///wLLlD/U/Of8L/p/0j/Sf+b/6/8p8f/Qf+m95+U/zT47/5fpf/k/yX8p/6X/2v9 D+l/5H8J/9X/Kfwf3v+r8J/7X/d/7Py5/5v5n/R/yn+8/1fpf/C/ffi/yf+T/8/8p+r/oP+F/V/N v/s/1P/R/yf/3wXAy/GD/iH+x/8/iv81/p/jf9J/6n80+p/8P83/5P9b/kf85/6v8z+f/9j/1/s/ 6n8P/5/y3/0/4//c/5X/v+z/8f9vlf/n/b/o/6j/Xfl/+/p/Pf5P888CkPV/lP/3/E/5Xzx/9j8b /G/8P/m/mn/Lf4D/3P/g/5j/0f/h/W9//yPqP5y//N/C/1P/Z1P/U/8Z/xf/k/9f8T/n/+b/K/9v 9r/m3/ofzH+l/0H/jP/R/238f/W/NP+V/yv+n/a/v/9j+b/8nwr/1f/el/8n/ef8P+G/PgDtf/N/ pP9T/0P5T8H/1f9p8N/7P9X+V//X5l/7n/rf9r/6v8r/wP+S/j+g/9/s/x7/pf9T/sf9D/xP+a/8 n4T/o/69W//g/+b/Uv+J/+/z/4z/Zf+vwf+0/9X/Zv6X8J/5r/T/kf/n85/8f+a/7P9H/0/8r/L/ XP8n/9/f/6j6X+D/mv/E/3r/3/l/hf/9/T/X/0n/yf9v9j8/AN3/tP7fxP8P1f/78F/+f5X/kf+n /i/8X/V/Zv6n+ifnv8H/qP/w/IP4n/R/M//Kf2P+x/lP+5/6n/Of+l+b+X+v/6X/lP+Z/0f+V73/ Jf+nz/+Y/wj/V//vWv4B+Nr/Vf7X6/+4/+X/9vhP/p/mn/yv8f95/PT/cP6z/yv/r9f/vf9bzv/R 8884fsj/Kf9l/lPpf+//pf5nvv8z/L9t/Mf73xQA4wPA+dv7X7z/1eM///+v6n+q/xf9n+uu3dU/ G/7v/f/E/4H/vf7n/U/5f9H/h/5T/yfyf/G/Lf4v/Wf9r6n/U/E/4X/F/5L/7/c/yP+T/uv6f/j/ p/X/Xxr+P+V/jf4f9q/8f+U/0v/m/47458oD8j/Df/k/mv8m/7nxRhw/4H95ACa9/1L1/8j/ev+f 80/9b/6f+B/5f/D/mf+U7/8gABofgPTf8H+w/+H/HKD/tf8H/3f8b/Y/8T/tf5//yP/p//T9f/7/ u/o/xv+XAND0f8L/zfzP8/+o/6+/boF/zn/y/9T//PZ6/pH/Af81/7H/r/ynef+vn/8B/6R/1f5X /c/8P/m/9P9j/8Pz/9T/nfQ/9v+a/57+9GX81f+q9P8Lnr/U/53/2/2P8fxLzv829b/031j/U/7n /b+U//H8E//P7//Y+Xv+A/3PByDi+4/sf2r+7f0f6r9j4z/7H5r/av/vyf/Y/0z8T/l/PP9J/8f8 T/qv8v/Z/1L/x/Rf7v+a/qf/L/0f9R/yX+f/Vf4v/9/035T/Z/23vv9A/d/wf+V/dv7y/9T/rfa/ 5z/j/Kn/mvxf97+F/zH/2Zz/lv8r/6/8H/q/Tf7H/Q/8T/O/z/9X/w/73/Af/X/wP+o/+P9x/0/9 /9X+Af2T/7/J/8n/MP8p/9P+F/4n/8ff/zP/h/1P5n8x/8X5y/9p/P+p/x3P/4D8n/4fzn/4/7z/ I/6f9D/OH/F/4f+p/5P0n+5/HNv/33f/n+8/VfzfP4DU/6T+U/5n/h/xX/4f9H/if5r/qv/B+//q fw//V/yP/j/7f+P9B97/5vxH/u/8T/m/7X/hP/d/wn/Nf4X/7v8b//f8v9L/rf+/Of/u/2P/G/8n /vv934P4f9n/sftfPP81/sH4L/3PmP8q/5v2/8h/5f9Z/8/7v/n+/67+C/m38/+M/3v+F/f/5v0f 7X/wP82/+T/Qf+p/Rf13gP6H/0P/3/ofd6zvf+v/v+n/J/6v+Q/8X/1f4n/if5v4T/6f8l/xP/f/ k/+D+a/4P/kf8/+E/73/x/1f5f/sf/r8J/6v+a/4H/E/9T/o/wv/o/5T/kv6Z/6P8v+m/93rf/U/ +AEcx/+L7//O/s94/nW6/zf1f6P/S/3n89/4f73/U+l/+T9V/r/p/036v5//av83/T/1P8j/D+3/ Z/5f8T/1Pw7N/8X/lP8Z//P7v5j/Hv/n/ofPf/T/1P+k/1/x/039r/c/Y/8n8/+0/5cAYKF/vv+n /I/7f/h/jv+4/0n/395/U/83+z/2/nfCf+1/4D/2f+z/i/9V+R/vfzX8X/k/8J8GkPG/Tf3f938c /7n/R/9X/T8QwCL/Y/4j/V/pP93/t/zP8b/Z/839X/k/mH/u/5H/+f+/J/6v/pf8P+N/7P/C/wH+ N+//Mv9L+E/+T/8f59/sf82/8X/tf/n/Kf93/Df+p/v/9H9s/vfhv/w/5r+J/6n/m/Q/+V/B/93/ Y/5n/m/2/0b/42D/T/t/+H/yfyr+r/6X5t/8n8n/s/7fNP+V/p/u/w7/f7X/FvhfCOB6/sb/lvvf +K32b+R/7v+w/x/xX/e/yP8N//3+zxj//P738gBA3f/v+3/K/7X/cQHgrrs0/6x/H+3//wVp6okR CmVuZHN0cmVhbQplbmRvYmoKOTMgMCBvYmoKMTMwNzYKZW5kb2JqCjk0IDAgb2JqCjw8IC9MZW5n dGggOTUgMCBSIC9UeXBlIC9YT2JqZWN0IC9TdWJ0eXBlIC9JbWFnZSAvV2lkdGggNjkgL0hlaWdo dCA2NyAvQ29sb3JTcGFjZQovRGV2aWNlR3JheSAvSW50ZXJwb2xhdGUgdHJ1ZSAvQml0c1BlckNv bXBvbmVudCA4IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4Ae3QgQAAAADDIH/qHeSF UGHAgAEDBgwYMGDAgAEDBgwYMHA0MPfq/fEKZW5kc3RyZWFtCmVuZG9iago5NSAwIG9iago0Mgpl bmRvYmoKOTYgMCBvYmoKPDwgL0xlbmd0aCA5NyAwIFIgL04gMyAvQWx0ZXJuYXRlIC9EZXZpY2VS R0IgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBnZZ3VFPZFofPvTe90BIiICX0GnoJ INI7SBUEUYlJgFAChoQmdkQFRhQRKVZkVMABR4ciY0UUC4OCYtcJ8hBQxsFRREXl3YxrCe+tNfPe mv3HWd/Z57fX2Wfvfde6AFD8ggTCdFgBgDShWBTu68FcEhPLxPcCGBABDlgBwOFmZgRH+EQC1Py9 PZmZqEjGs/buLoBku9ssv1Amc9b/f5EiN0MkBgAKRdU2PH4mF+UClFOzxRky/wTK9JUpMoYxMhah CaKsIuPEr2z2p+Yru8mYlybkoRpZzhm8NJ6Mu1DemiXho4wEoVyYJeBno3wHZb1USZoA5fco09P4 nEwAMBSZX8znJqFsiTJFFBnuifICAAiUxDm8cg6L+TlongB4pmfkigSJSWKmEdeYaeXoyGb68bNT +WIxK5TDTeGIeEzP9LQMjjAXgK9vlkUBJVltmWiR7a0c7e1Z1uZo+b/Z3x5+U/09yHr7VfEm7M+e QYyeWd9s7KwvvRYA9iRamx2zvpVVALRtBkDl4axP7yAA8gUAtN6c8x6GbF6SxOIMJwuL7OxscwGf ay4r6Df7n4Jvyr+GOfeZy+77VjumFz+BI0kVM2VF5aanpktEzMwMDpfPZP33EP/jwDlpzcnDLJyf wBfxhehVUeiUCYSJaLuFPIFYkC5kCoR/1eF/GDYnBxl+nWsUaHVfAH2FOVC4SQfIbz0AQyMDJG4/ egJ961sQMQrIvrxorZGvc48yev7n+h8LXIpu4UxBIlPm9gyPZHIloiwZo9+EbMECEpAHdKAKNIEu MAIsYA0cgDNwA94gAISASBADlgMuSAJpQASyQT7YAApBMdgBdoNqcADUgXrQBE6CNnAGXARXwA1w CwyAR0AKhsFLMAHegWkIgvAQFaJBqpAWpA+ZQtYQG1oIeUNBUDgUA8VDiZAQkkD50CaoGCqDqqFD UD30I3Qaughdg/qgB9AgNAb9AX2EEZgC02EN2AC2gNmwOxwIR8LL4ER4FZwHF8Db4Uq4Fj4Ot8IX 4RvwACyFX8KTCEDICAPRRlgIG/FEQpBYJAERIWuRIqQCqUWakA6kG7mNSJFx5AMGh6FhmBgWxhnj h1mM4WJWYdZiSjDVmGOYVkwX5jZmEDOB+YKlYtWxplgnrD92CTYRm40txFZgj2BbsJexA9hh7Dsc DsfAGeIccH64GFwybjWuBLcP14y7gOvDDeEm8Xi8Kt4U74IPwXPwYnwhvgp/HH8e348fxr8nkAla BGuCDyGWICRsJFQQGgjnCP2EEcI0UYGoT3QihhB5xFxiKbGO2EG8SRwmTpMUSYYkF1IkKZm0gVRJ aiJdJj0mvSGTyTpkR3IYWUBeT64knyBfJQ+SP1CUKCYUT0ocRULZTjlKuUB5QHlDpVINqG7UWKqY up1aT71EfUp9L0eTM5fzl+PJrZOrkWuV65d7JU+U15d3l18unydfIX9K/qb8uAJRwUDBU4GjsFah RuG0wj2FSUWaopViiGKaYolig+I1xVElvJKBkrcST6lA6bDSJaUhGkLTpXnSuLRNtDraZdowHUc3 pPvTk+nF9B/ovfQJZSVlW+Uo5RzlGuWzylIGwjBg+DNSGaWMk4y7jI/zNOa5z+PP2zavaV7/vCmV +SpuKnyVIpVmlQGVj6pMVW/VFNWdqm2qT9QwaiZqYWrZavvVLquNz6fPd57PnV80/+T8h+qwuol6 uPpq9cPqPeqTGpoavhoZGlUalzTGNRmabprJmuWa5zTHtGhaC7UEWuVa57VeMJWZ7sxUZiWzizmh ra7tpy3RPqTdqz2tY6izWGejTrPOE12SLls3Qbdct1N3Qk9LL1gvX69R76E+UZ+tn6S/R79bf8rA 0CDaYItBm8GooYqhv2GeYaPhYyOqkavRKqNaozvGOGO2cYrxPuNbJrCJnUmSSY3JTVPY1N5UYLrP tM8Ma+ZoJjSrNbvHorDcWVmsRtagOcM8yHyjeZv5Kws9i1iLnRbdFl8s7SxTLessH1kpWQVYbbTq sPrD2sSaa11jfceGauNjs86m3ea1rakt33a/7X07ml2w3Ra7TrvP9g72Ivsm+zEHPYd4h70O99h0 dii7hH3VEevo4bjO8YzjByd7J7HTSaffnVnOKc4NzqMLDBfwF9QtGHLRceG4HHKRLmQujF94cKHU VduV41rr+sxN143ndsRtxN3YPdn9uPsrD0sPkUeLx5Snk+cazwteiJevV5FXr7eS92Lvau+nPjo+ iT6NPhO+dr6rfS/4Yf0C/Xb63fPX8Of61/tPBDgErAnoCqQERgRWBz4LMgkSBXUEw8EBwbuCHy/S XyRc1BYCQvxDdoU8CTUMXRX6cxguLDSsJux5uFV4fnh3BC1iRURDxLtIj8jSyEeLjRZLFndGyUfF RdVHTUV7RZdFS5dYLFmz5EaMWowgpj0WHxsVeyR2cqn30t1Lh+Ps4grj7i4zXJaz7NpyteWpy8+u kF/BWXEqHhsfHd8Q/4kTwqnlTK70X7l35QTXk7uH+5LnxivnjfFd+GX8kQSXhLKE0USXxF2JY0mu SRVJ4wJPQbXgdbJf8oHkqZSQlKMpM6nRqc1phLT4tNNCJWGKsCtdMz0nvS/DNKMwQ7rKadXuVROi QNGRTChzWWa7mI7+TPVIjCSbJYNZC7Nqst5nR2WfylHMEeb05JrkbssdyfPJ+341ZjV3dWe+dv6G /ME17msOrYXWrlzbuU53XcG64fW+649tIG1I2fDLRsuNZRvfbore1FGgUbC+YGiz7+bGQrlCUeG9 Lc5bDmzFbBVs7d1ms61q25ciXtH1YsviiuJPJdyS699ZfVf53cz2hO29pfal+3fgdgh33N3puvNY mWJZXtnQruBdreXM8qLyt7tX7L5WYVtxYA9pj2SPtDKosr1Kr2pH1afqpOqBGo+a5r3qe7ftndrH 29e/321/0wGNA8UHPh4UHLx/yPdQa61BbcVh3OGsw8/rouq6v2d/X39E7Ujxkc9HhUelx8KPddU7 1Nc3qDeUNsKNksax43HHb/3g9UN7E6vpUDOjufgEOCE58eLH+B/vngw82XmKfarpJ/2f9rbQWopa odbc1om2pDZpe0x73+mA050dzh0tP5v/fPSM9pmas8pnS8+RzhWcmzmfd37yQsaF8YuJF4c6V3Q+ urTk0p2usK7ey4GXr17xuXKp2737/FWXq2euOV07fZ19ve2G/Y3WHruell/sfmnpte9tvelws/2W 462OvgV95/pd+y/e9rp95Y7/nRsDiwb67i6+e/9e3D3pfd790QepD14/zHo4/Wj9Y+zjoicKTyqe qj+t/dX412apvfTsoNdgz7OIZ4+GuEMv/5X5r0/DBc+pzytGtEbqR61Hz4z5jN16sfTF8MuMl9Pj hb8p/rb3ldGrn353+71nYsnE8GvR65k/St6ovjn61vZt52To5NN3ae+mp4req74/9oH9oftj9MeR 6exP+E+Vn40/d3wJ/PJ4Jm1m5t/3hPP7CmVuZHN0cmVhbQplbmRvYmoKOTcgMCBvYmoKMjYxMgpl bmRvYmoKODUgMCBvYmoKWyAvSUNDQmFzZWQgOTYgMCBSIF0KZW5kb2JqCjk4IDAgb2JqCjw8IC9M ZW5ndGggOTkgMCBSIC9OIDMgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBrZK9S8NA GMafRrRLVYQigkuGKoJRaougIEjtIGKHWDpocWnTJK3UNiSxKri5OFZc1MWqm5OD6FpwdioUFD/+ AkGoukiJ7+WQCgouHtzd7x7ej3vvPUC4SBlGXgCwWrDN+OyMuLiUFL138KKfRBopxTIishzjp9/W 9zo8TK+NsFjzPQ/adH3YOXt97kjuPkm/eXzTfCYlBDx+0vw65yHGac5TjNdtwyYbmbGSTWWIaUIy E/EocZm4S+dcYZzmfM64pOjMt0ocLGRyBeIX4omMaimAwHLpimGSjcDiBFj9tNMoVsjsDWgrt7T0 PnC1A/TdtrTAEdC9DVxet7TGgvsmnt6apYVDbjiPj+7a/ug4jQHAuwc0y47zcew4zRPKcQ9UV5Q1 s+Ta0iWFMPDXmdfGo/MeELNeuP34ybx+1z4InNaBxBYQuwEODoFBjepYBmQf6ZMQwuNfk7+V69dp sU8im0Utl1dd5R8XW92gPgDRorFp5vSsLUboR6mSOFdQRiUxFBwL4hMcSnJnCmVuZHN0cmVhbQpl bmRvYmoKOTkgMCBvYmoKMzk1CmVuZG9iago4MiAwIG9iagpbIC9JQ0NCYXNlZCA5OCAwIFIgXQpl bmRvYmoKMTAxIDAgb2JqCjw8IC9MZW5ndGggMTAyIDAgUiAvRmlsdGVyIC9GbGF0ZURlY29kZSA+ PgpzdHJlYW0KeAHtXM1yHLkNvvdTMLdWlT3u/5/cZGk2dhLbu5KcPWRzsMftlbOesSyNNutXyONt 5ZzLvkg+kATIZv9Ma+JbUi6XejgkCAIgCHxgz2f1nfqsEvwr21I1RaZuO/W92qknZ3ep2typVN1t wu/fjzRE6PYZvYnUY/pDtDZb9fRKtaaxVUWzSpumbVSTZupqq558k64SjLl6r+I/nairv6v1lfou miBTrzJDiB7KYpW0SVOMkPqril+eqASd4tdX6iT6m7r6oyZ8kL86XaVlm0IOQ/4uiL+I+Jsi0+Ov rlYQaDq2VPC3fv7yJNIcrkG3aVeNiq9O1HJO27YnyYgkmVpJ/k4kOcWpKKRMilVaVWlvwZFWCLj8 5kQ9NmJUVp5Pu9uP3PiBH3Y+4ySdvKhVlYKdtlVpXUdsUd92t5vuZn//5qO6/YB+WV1phWZJizEp xiRkMU+eb9NKnX+CpAPbFErWNhOyTc9ayL7yuslVlZSrKi1ya4DgxZgl/cUkV1sILGPTw0q/5bXc nqgiI2103DJc75a/shKIYkjACOoNHtJCxSBjGr5oyaUqvrQS3PA31/wgM707icyge/5K5pY+IDdq JIOVR2breStvVmWVpVUDsQd7DwK4uhZ13llOWedfTqIsgUCwNm0MWFuaJLC2+NGJgh22Kuau++sO 3+re3PQPXosISxYlD9z3bcdPPBd//o2pvOVv7uz+EbY3vwZ8c8/du6kvHHUreB7CI37mht2m47Zw mv0td9r8tDICiUggaVaSB7q6lkV5vBtJOt6ZE5+YaYviDdPfd7ehbvafgrXtr7mFu8r0u+4kSkvS m+hEpuVB3HDZfT7djakXHaz9RT0/OLC/sZ1XFEPDM4uLYhbvmMiZq6F0VCwy5PXC4WszfQ9d0Ebm pd0yla20BKba/XLT3Qq9Tuvc0OKh9zzJiCauRU3cmxvcljDUZIodNGp5YMJ7sTOm4npzy4NE1m2u d0Li833HE4XEBrvkrRPF7kdrZUJIWpgMk73pNh/Yjf17g2+Xeasxa8GppP20hAhwUzckr4JcDivx rXiRbstMMFN9E4hiMQE2NlkPj9yIhrlFuvCEOzYw2UXSZX/NM+v9wx94Njhxs/9+tkr/yJJi2rA/ npcHsxEN9MNjyOeazlEs3Ds6cEnHqkAOjCaL+sGaOTH1NnPiZ055Bc7xCKtoMltgP9wt++kTiClu rmV33IvsZBpRA3dnEWqjoRNMeJWuW/uEI5zZh4U9zrTnMGc3fDh/NdCBuGYYhXHpdISZJW5kibJZ hHvuLXy85xZokx9v3lhKmiPwv5fu2GM2vkAnM/FuHy6bpW5pR7FHm93Onh+YzJ5nF+vmb3byFQ6d KAc/9rTTx7+zsWRVqQ+UPSD6p+yBQi5EaU/+cFeoH+9cCoAAcZUWba0y5ANpXVFsZ/IK7l9S/wTE gghPZxB1U5vhJs5JVkmVICxJENxtIoRgJt4rKNpDHqLN1w/4rp6t1fkaYV9Tqfj0AlFfjrP6xfrl lXr1DWQwechNTY5pVX9a7b+Q4vC0EXbNi1MdPGGqZ2v3/PzsUp2+PFdn+BLB46sX376+Wl84Lvop hyRRLAIb6kEEJUQ54KOheNfjA7Ho2fP1y7O1SxM410uCJG4wFftpki6leTqaTrM8mIECSu3bEGw8 swa61paFhos1Mh0EuvrRyIOee+kPm4+Z527jp4QLmcpHgo3vda7VRrFsMjFz2VHiJOSBt8S262QP 8K5AA3s0oSlpE28uoS1dXrszmQ8DeP4gPNj/04pOZh1Pvx6FYTj2p/bNO5kv8AUq/gM7kO52y2tB FkOh+5d/8XfGo+hoVtMbcaB7msJt/gM7NQIYAJvxbQep4uBsuR+VTi9mhjdzUmXP5zukYfj9wkqT l7u/fqJbohjbz34nR7X4VejwMUllv+2cB5SpeWYzPorFZljgckIsCezOmbVrd7ptB9o1bnyxzAHA RIHMK+sR/MiKQzy22W4Y/rM58Nru99fYPqk+KyWuREgrh+FQiCxnQyKK5dwbt2zu/kPcN0mc5WLa NzbjgUUwYzyMPwtD/gkoOuSVX+9/ODHTRHS0OQHLiVbQiQbjxcGT4sQq8QTYQj/hhCsaVeM0KQj0 aAhFe68xtMhhaMFJppoEFPsIWZojcRzuiL+sX1pbfb3G6ij/xnl1ahpVfM4rxoGmdyoOtEp72Fcs ONnwF6fYCLQ4g2VRFldmKgcGlSaAXYoWPp102gJbs8CNCEAf6fhUF2WCoyZZ1XmdlUULd1M3TZaX OR31c+Teh5DOcA4SGIk4aasc+NAqK6q8BjaJJadlltYFzYHIYQV0rVFlgjBVbTEp/pgPH82HoslX RVHm0UfXm9vUR3UNCDGVMVuE5olPEYO4wQ2KzBDXcBQVM3E0Q4XiIBtDwTeR+Pn/5ZkfDUHSUASd /6S2tlnl0FoBabAW6bNe62U/hjADyfioJ7BKOzDSdGr7kYQ0O7BMVwX2QWVnrEs3MJodmAEdLYuq tQMhaUNnckZeI3RkxwBeMSQmx9DyshY4cdIWyrEaSZvP7/RCIdYkberaly+3RbRVDguZu3uSJmqW rBU37HRG3NLdLcSRCBfih0tO1ULCk760LVOBdDd6kI/LlOFMNNrCwpfJzjdPDGoD4xxfKqoZzjRB wTPMSUVHifIEAwoHjZIMjI4DMkkMFoOMZvSIwLd0DlbvP79h0gZoA+ixEAD5ZrvLMVYaJscSn3os 5KDHQvzY6BjLDfM+Qo+FOFq31zGWG+btVo+FXBO33TFWGiZ5lvUmZr9jUCJcmkMLTeJDIQSzm6AF MxUXHVAqkCPYC0+98wLSQVyqM0gcvThbbJkJfwEEJHUDB4eaECdRpjwSZ5ixRZxgi1bGv0Im+lQS vtK2XEHUFVnHIr7k1DFnmeMt4Kym45A8qOYsKGc831FiTyntp3f3m/2HT7tH6hUSDcouu9ufP1A5 gZ4RvpU1cHx1ahtubj5+2LyhAchGXARE8s4LKJE86bK1SenQk3l/baRhK/fZtfmpKxLLibVRzr98 bV5052ypRCSRIW10tpSv2gxBxqGyk7alosl0uEGbjdIcV3ICCOFyUSmucTrCQeqtS3oIMOoLXyRX MJPOsBYy6UhMMopQdtUWGeCYYgj42dwZQpYkZ8O8byUa5wzGg8pMLmrU1sduOWp14T2KwCZzteD9 vaS+F53gyjtCzU1SRhF7X1LOTCclhZAz8ivcYRXxf0RSxmrzfAXgrBoavQ3MI8GGglqrGV7WZs/M G70uTGv8y+qXDWeh0TOTKaK5VnvTBxv9NKPVqqnqHI50xOg1jv/7EF95ylbO6b/kklTx0AZ8JhgM VbzRb2iliNzhTCeXxokRyV+nRIH8ydANicmlYTs3ad2ko/5nfGmcUUJBAA1iBqdky/dQF7OzBwCF l6AynjJX1XvNuAJLlRNywhT6YjM2B+A4MNnUFxZOHoRyyBG9k8faemYGLjBWhZPm9D2BGaxINtld yJRzF8yY880HGXOD8ynm6mJV5U2e+VpUaYQ7M+CRE36WnXhGZ5LyJHBMr1aggbKI4Fc8uVqHaPwn NvKBnq3i3BijOA9dlakFgWE+BRdjC+m4FKNcwZuxVR7kHSpml3l4jpuKKUoxjGIhXdKJ4i+h8txx cVh5CED7VjVQng1pvLN/XHl04WleefZCwqFCD6OcM8qb2KQTysPxzi7MSZRbuCC1UHlGRxPK65Wj 3FTTygMwHSpP72pCrkJ3sCxgSwGq0NE37w4kYFuzM1wUqAlbnjM4xJazp0nWcFlrlSUAzcdOK8H4 dJ3Csw2AZV7JXPwrtg+2BrlYhwXKhhhbQOBmZzaEXcBwQ3gLGMKcswuIpOY/sgBzv8+CmVmN3Iwi eY1mIWTQeasDMyNXnxwBM2G2fTBzkhzATMAPVM0I7k4SWufPsRDMjHJcQBQw03ywYCaphcBMpMAC fXptDGYyAbYkS9EDM71BBsz0GqaoKE2WcFTOb71BB6mMgpnwSpUagJlAk2k3ktpqgLcOblAI/OYQ QgwkU6OBHoaj6SAr03TGkQZvRoPjYEzkkJxRRM6OERjRg5qkrbbTToAjIQmPaSEBWfc4D5AuS0Ig OE9g0rZMatLdW4i08UIEe+lFVbAMrTHuHnkL4bZDQFpAAtuPtgCPXqiMnsEAJVxkLiFKuMhUehbm UMJ5RY+hhFO2RYZskD72XIzWUfZz2JYN0peZrg7psw3zegyRPjJGnWQcAPusDo8C+zBWljwL9onT cQDNQlDNBArauZrD/sFgH8D6SbBP+HJH/UK+nD8NeAsAsbQEipi3SOQIhgzAvt+eIcTScN7u3Z16 tfs1DJOIP43cTTMaRib60r+3049g1CBIfPmFwt2DjBo1ZTgDj4fh8gKiooPSKNoLxb8mDJczk8cj EtOMAnROaxQJpvAIDscvu/39De5s6AL8IDs7l5K8ja6jmOMmycY4e/SuenoZh6SAg0Q8IkvSfoEE oUMtJwi4XgJND8WKjoTV2DBWRH02S9sKwS6uNfXeFoE18RVLroVz5gCowaQ83p1tQiRwqNN1bDwV ujJ+L9cF3Oo5V5GVP/JRcG8/DJgfMbcK4HEL5De3pQMISnIJyb747qbL5BGR91FS/4Yrq/6iu2Fc Qie3dEFlHC3JcEM/2E4hKKHCa192H+Igpn04v5HMOyfQx0PREmHMWU7I2ADGcW4om2IuT1dtWeNG moe5C1oyD9wtNBFjXWIiDI+watiGBmDFrvtF0OzLfXczWmHRm2pMNAiKvIqWuYjSRyMGNvn/DaWh 2K+9oZBcHrWhcM/1QRvK4A1A0xbhDZSkarZcELJ8O02zhveFKJAcBx8vGRN1hwZbv2wP3hYOPdn3 4hNkNWS4Oj5ZsIZpyIHXMLT68TVYDG52DRaFO7QGc4UqRUn2K6IOk+S+OuqQVQjykXJpt28+WNQh y9sB6uC1MV7ABNg9Iwskih5e4A0yeIHXEFLp4QUaJyCsYBQvyHAHD8fTIrwAZy8hNXg1FTdivIFe 0rsALzAD9TUpL9WlgWG63i8/+DMK0CBXRiaSR8slp8I+JiJtYaYboAQhCW+1QuJAig8StKeku7du aVu2eO4OpfopvohhIje1a5hI8edl97AU3y51IsU/xJ5ZlbsINM/ZUSm+ZbCX4sv9GOhxDh6wYuyl +AIPcH4/v8b5/H7Bemfze/EJg/z+UHrqeS4TrR7K74PkNKZ7PpP5vfCV485US6+Ge5d5ejcJJtNm 4xBneEvTHK/nwp2lZcAbQuuzT3hTEEU79USdfXrXqQtKYlCp6V3kGamUZinc8PGpdJY3XzOV1sEY H6XPe0EA+UpYoL46JUw7aT+02D/NeJoDVMXdubHc+ikFikik5EXnnzi35jDH3Ua5lOR68NYGd8YN KlMAe+RdH7ApxvdS8OJO9s3BKP4zsBwtqUGXiQQvbXHzua9kCvx6dhkWLs1+IZNbkuDZUvOBC0t9 9U7rV/h1+k3D/R3y6xnHJM+EkFHWN7y5dD4Q5UNe82R9ulcVjrCTKGZFCy9Md9ROtDAFnekjAlGM 3N+YFhMdRN38xYjtAQFBdIZy4Ct++/T8FdscD+Nd2n+BFj9rwF+cL32XdcQrUWA7YrD+j44MEn9t sGlrkUHjR6egvaMRCWHMs8wg6R4wJpY5zRxdc65whowiErgnZFTJ8JWU3y+ciMVmpIkubvqwn3tH a8JoVDwOI7HGmQ158eje3fTh7wY3XxBIoxzd4EJWZkqteKMzaXOG/nTs7pdBB++NYOn9UusUuWjB eyMaE1n63gh+CQH5Mic95oNNelLcxAlLrV4bpytMgC3AUvSSHm+QSXq8hmtYg32DJQVkpeezGRh/ RjhlzD6h1zNwhRikZYxrE34cGWZJeaRcmxtquXINI7R62Rj0VUlGNqjepmXD2RgYr7QlmOQMcZP5 OF6ExUDKMCiL8pILnVTRVS+yqMmBPKMJvjHmUMHQcsm5CMmYWZU25nciog1JeEwLCSRaPc6DvCwk YdiX0Qcq0FZgSG4c8yh6HpQyCasnY50eaT7nl7q4fmk504kC3LVxB1K/5IZZbZoEJTNjXYJiG+Yt 4agExepCj51NUGT/HpegGI8xkwR4bxsESUCMuHU6QRG+3MHlCpC9QHAyQTnIG169W+UJ3oIaT1Ae kJWk7G+OlCL7ueMEmZANTr22Iaz9F4JcwN5XkaU49IreiKIjWJjOD76xIINT/FAWjSbP0H9roVll WV3oa6fDkHrm56Jc3ODeCpAAhrMljiMHgavgxhx0yF3D4QvUXOjjGIaJjnHA5CSKD0NbSglwtKFE OPiVDgnNkHbr30/ii4ADZm/cS+LR9K+GzP+IDa+Cswxmi1cgk45FaDxYBC6lXn1V1nulxytmLjCG iq7GNLgrmdOP8pjf7ZNiJlditfSEPWHhrfxAFpbEP62CH2LQVVjsRPoJMRe/PsM66ea5e7M8lDqo TP3+mDEn7zV84YYFI3egNS9UNhU+XRFDOtFFaWMUPJ4NlrXD7Y5dmXLwdszIG+psunvQRVkaL2zh kmtPMsGvq3z3H9pb9BEKZW5kc3RyZWFtCmVuZG9iagoxMDIgMCBvYmoKNDkwNwplbmRvYmoKMTAw IDAgb2JqCjw8IC9UeXBlIC9QYWdlIC9QYXJlbnQgMyAwIFIgL1Jlc291cmNlcyAxMDMgMCBSIC9D b250ZW50cyAxMDEgMCBSIC9NZWRpYUJveApbMCAwIDU5NSA4NDJdID4+CmVuZG9iagoxMDMgMCBv YmoKPDwgL1Byb2NTZXQgWyAvUERGIC9UZXh0IC9JbWFnZUIgL0ltYWdlQyAvSW1hZ2VJIF0gL0Nv bG9yU3BhY2UgPDwgL0NzMSA3IDAgUgovQ3MyIDE0IDAgUiAvQ3M0IDE3IDAgUiA+PiAvRXh0R1N0 YXRlIDw8IC9HczUgMTA2IDAgUiAvR3M0IDEwNyAwIFIgPj4gL0ZvbnQKPDwgL0YyLjAgMTUgMCBS IC9GMS4wIDggMCBSIC9GMS4xIDkgMCBSID4+IC9YT2JqZWN0IDw8IC9JbTE2IDEwNCAwIFIgPj4g Pj4KZW5kb2JqCjEwNCAwIG9iago8PCAvTGVuZ3RoIDEwNSAwIFIgL1R5cGUgL1hPYmplY3QgL1N1 YnR5cGUgL0ltYWdlIC9XaWR0aCAyNzcgL0hlaWdodCAyMTAgL0ludGVycG9sYXRlCnRydWUgL0Nv bG9yU3BhY2UgODUgMCBSIC9JbnRlbnQgL1BlcmNlcHR1YWwgL0JpdHNQZXJDb21wb25lbnQgOCAv RmlsdGVyIC9EQ1REZWNvZGUKPj4Kc3RyZWFtCv/Y/+AAEEpGSUYAAQEAAAEAAQAA/+IMWElDQ19Q Uk9GSUxFAAEBAAAMSExpbm8CEAAAbW50clJHQiBYWVogB84AAgAJAAYAMQAAYWNzcE1TRlQAAAAA SUVDIHNSR0IAAAAAAAAAAAAAAAAAAPbWAAEAAAAA0y1IUCAgAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARY3BydAAAAVAAAAAzZGVzYwAAAYQAAABsd3RwdAAA AfAAAAAUYmtwdAAAAgQAAAAUclhZWgAAAhgAAAAUZ1hZWgAAAiwAAAAUYlhZWgAAAkAAAAAUZG1u ZAAAAlQAAABwZG1kZAAAAsQAAACIdnVlZAAAA0wAAACGdmlldwAAA9QAAAAkbHVtaQAAA/gAAAAU bWVhcwAABAwAAAAkdGVjaAAABDAAAAAMclRSQwAABDwAAAgMZ1RSQwAABDwAAAgMYlRSQwAABDwA AAgMdGV4dAAAAABDb3B5cmlnaHQgKGMpIDE5OTggSGV3bGV0dC1QYWNrYXJkIENvbXBhbnkAAGRl c2MAAAAAAAAAEnNSR0IgSUVDNjE5NjYtMi4xAAAAAAAAAAAAAAASc1JHQiBJRUM2MTk2Ni0yLjEA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAA AADzUQABAAAAARbMWFlaIAAAAAAAAAAAAAAAAAAAAABYWVogAAAAAAAAb6IAADj1AAADkFhZWiAA AAAAAABimQAAt4UAABjaWFlaIAAAAAAAACSgAAAPhAAAts9kZXNjAAAAAAAAABZJRUMgaHR0cDov L3d3dy5pZWMuY2gAAAAAAAAAAAAAABZJRUMgaHR0cDovL3d3dy5pZWMuY2gAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZGVzYwAAAAAAAAAuSUVDIDYxOTY2LTIu MSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAAAAAAAAAuSUVDIDYxOTY2LTIu MSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGRl c2MAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBpbiBJRUM2MTk2Ni0yLjEAAAAA AAAAAAAAACxSZWZlcmVuY2UgVmlld2luZyBDb25kaXRpb24gaW4gSUVDNjE5NjYtMi4xAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAB2aWV3AAAAAAATpP4AFF8uABDPFAAD7cwABBMLAANcngAAAAFY WVogAAAAAABMCVYAUAAAAFcf521lYXMAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAKPAAAAAnNp ZyAAAAAAQ1JUIGN1cnYAAAAAAAAEAAAAAAUACgAPABQAGQAeACMAKAAtADIANwA7AEAARQBKAE8A VABZAF4AYwBoAG0AcgB3AHwAgQCGAIsAkACVAJoAnwCkAKkArgCyALcAvADBAMYAywDQANUA2wDg AOUA6wDwAPYA+wEBAQcBDQETARkBHwElASsBMgE4AT4BRQFMAVIBWQFgAWcBbgF1AXwBgwGLAZIB mgGhAakBsQG5AcEByQHRAdkB4QHpAfIB+gIDAgwCFAIdAiYCLwI4AkECSwJUAl0CZwJxAnoChAKO ApgCogKsArYCwQLLAtUC4ALrAvUDAAMLAxYDIQMtAzgDQwNPA1oDZgNyA34DigOWA6IDrgO6A8cD 0wPgA+wD+QQGBBMEIAQtBDsESARVBGMEcQR+BIwEmgSoBLYExATTBOEE8AT+BQ0FHAUrBToFSQVY BWcFdwWGBZYFpgW1BcUF1QXlBfYGBgYWBicGNwZIBlkGagZ7BowGnQavBsAG0QbjBvUHBwcZBysH PQdPB2EHdAeGB5kHrAe/B9IH5Qf4CAsIHwgyCEYIWghuCIIIlgiqCL4I0gjnCPsJEAklCToJTwlk CXkJjwmkCboJzwnlCfsKEQonCj0KVApqCoEKmAquCsUK3ArzCwsLIgs5C1ELaQuAC5gLsAvIC+EL +QwSDCoMQwxcDHUMjgynDMAM2QzzDQ0NJg1ADVoNdA2ODakNww3eDfgOEw4uDkkOZA5/DpsOtg7S Du4PCQ8lD0EPXg96D5YPsw/PD+wQCRAmEEMQYRB+EJsQuRDXEPURExExEU8RbRGMEaoRyRHoEgcS JhJFEmQShBKjEsMS4xMDEyMTQxNjE4MTpBPFE+UUBhQnFEkUahSLFK0UzhTwFRIVNBVWFXgVmxW9 FeAWAxYmFkkWbBaPFrIW1hb6Fx0XQRdlF4kXrhfSF/cYGxhAGGUYihivGNUY+hkgGUUZaxmRGbcZ 3RoEGioaURp3Gp4axRrsGxQbOxtjG4obshvaHAIcKhxSHHscoxzMHPUdHh1HHXAdmR3DHeweFh5A HmoelB6+HukfEx8+H2kflB+/H+ogFSBBIGwgmCDEIPAhHCFIIXUhoSHOIfsiJyJVIoIiryLdIwoj OCNmI5QjwiPwJB8kTSR8JKsk2iUJJTglaCWXJccl9yYnJlcmhya3JugnGCdJJ3onqyfcKA0oPyhx KKIo1CkGKTgpaymdKdAqAio1KmgqmyrPKwIrNitpK50r0SwFLDksbiyiLNctDC1BLXYtqy3hLhYu TC6CLrcu7i8kL1ovkS/HL/4wNTBsMKQw2zESMUoxgjG6MfIyKjJjMpsy1DMNM0YzfzO4M/E0KzRl NJ402DUTNU01hzXCNf02NzZyNq426TckN2A3nDfXOBQ4UDiMOMg5BTlCOX85vDn5OjY6dDqyOu87 LTtrO6o76DwnPGU8pDzjPSI9YT2hPeA+ID5gPqA+4D8hP2E/oj/iQCNAZECmQOdBKUFqQaxB7kIw QnJCtUL3QzpDfUPARANER0SKRM5FEkVVRZpF3kYiRmdGq0bwRzVHe0fASAVIS0iRSNdJHUljSalJ 8Eo3Sn1KxEsMS1NLmkviTCpMcky6TQJNSk2TTdxOJU5uTrdPAE9JT5NP3VAnUHFQu1EGUVBRm1Hm UjFSfFLHUxNTX1OqU/ZUQlSPVNtVKFV1VcJWD1ZcVqlW91dEV5JX4FgvWH1Yy1kaWWlZuFoHWlZa plr1W0VblVvlXDVchlzWXSddeF3JXhpebF69Xw9fYV+zYAVgV2CqYPxhT2GiYfViSWKcYvBjQ2OX Y+tkQGSUZOllPWWSZedmPWaSZuhnPWeTZ+loP2iWaOxpQ2maafFqSGqfavdrT2una/9sV2yvbQht YG25bhJua27Ebx5veG/RcCtwhnDgcTpxlXHwcktypnMBc11zuHQUdHB0zHUodYV14XY+dpt2+HdW d7N4EXhueMx5KnmJeed6RnqlewR7Y3vCfCF8gXzhfUF9oX4BfmJ+wn8jf4R/5YBHgKiBCoFrgc2C MIKSgvSDV4O6hB2EgITjhUeFq4YOhnKG14c7h5+IBIhpiM6JM4mZif6KZIrKizCLlov8jGOMyo0x jZiN/45mjs6PNo+ekAaQbpDWkT+RqJIRknqS45NNk7aUIJSKlPSVX5XJljSWn5cKl3WX4JhMmLiZ JJmQmfyaaJrVm0Kbr5wcnImc951kndKeQJ6unx2fi5/6oGmg2KFHobaiJqKWowajdqPmpFakx6U4 pammGqaLpv2nbqfgqFKoxKk3qamqHKqPqwKrdavprFys0K1ErbiuLa6hrxavi7AAsHWw6rFgsday S7LCszizrrQltJy1E7WKtgG2ebbwt2i34LhZuNG5SrnCuju6tbsuu6e8IbybvRW9j74KvoS+/796 v/XAcMDswWfB48JfwtvDWMPUxFHEzsVLxcjGRsbDx0HHv8g9yLzJOsm5yjjKt8s2y7bMNcy1zTXN tc42zrbPN8+40DnQutE80b7SP9LB00TTxtRJ1MvVTtXR1lXW2Ndc1+DYZNjo2WzZ8dp22vvbgNwF 3IrdEN2W3hzeot8p36/gNuC94UThzOJT4tvjY+Pr5HPk/OWE5g3mlucf56noMui86Ubp0Opb6uXr cOv77IbtEe2c7ijutO9A78zwWPDl8XLx//KM8xnzp/Q09ML1UPXe9m32+/eK+Bn4qPk4+cf6V/rn +3f8B/yY/Sn9uv5L/tz/bf///+EATEV4aWYAAE1NACoAAAAIAAGHaQAEAAAAAQAAABoAAAAAAAOg AQADAAAAAQABAACgAgAEAAAAAQAAARWgAwAEAAAAAQAAANIAAAAA/9sAQwADAgICAgIDAgICAwMD AwQHBAQEBAQIBgYFBwoJCgoKCQkJCwwPDQsLDwwJCQ0SDg8QEBEREQoNExQTERQPERER/9sAQwED AwMEBAQIBAQIEQsJCxERERERERERERERERERERERERERERERERERERERERERERERERERERERERER ERERERER/8AAEQgA0gEVAwEiAAIRAQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkK C//EALUQAAIBAwMCBAMFBQQEAAABfQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNi coIJChYXGBkaJSYnKCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SF hoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn 6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIBAgQE AwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEXGBka JicoKSo1Njc4OTpDREVGR0hJSlNUVVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWW l5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX29/j5 +v/aAAwDAQACEQMRAD8A8R8PeAm+P/izX/in40lurK11vVri9jjhYZZpJWdgCewzt3d8e1cp8W/g fcfD+VNX8N3kuoaXPKQ6yr++gGcjkH5uM88dOleg/D39qbwHpsttoviT4aw/2ap2RvDeyQmFAuAo VcDGcHpnivXfiNpOma7od3b6JYQ20baZHqojTUkuTt2giWMcHkYJTkjmvkZ4zMqNdVKitTf2d7L1 7rc+loZPwxWy+WGjK9VJ/vL2vLfRN7PZafjqfFGjaNfavco/hyEtKf3byO+EQnryfx/KvoNvFth4 X8Ox2cFpGkEEaxSYIdWkCje/XoTzmvNL7xP4W8MQxXT6TcNvYyrCW8pWPB3/AI4HvVPU/EaeOLRd L8Mac32m+VXmZQFS3GcEtgYPXHviuXMnUxso+1i1ST3f6u/T0+8+GwSp4WNScaiv0726dPwudnqH jldVeWCzu7e2lcGSBsqBOOuDkgDpg+5Fa/hSPxJqdr/aUGh6rd27DAe3iZk+mQOT9K880b4U6dY3 kw17xTqD/ZwEhW3KoeeD8xz69BjrXpnhU2ngfT4/7L8QazfxgeRELi4YqCMfdRTt74Jx3rnp1suw 0HCM5STtay+/V/L9Djq4epjpxnWfLKN9v8jZOl35lDS+H9TiK/dL2rsencYxXKfEFms/DF3L9mnE gUALJG6ZyR6/0rstU+KdzaWdvqMUxhO3DW800oQ/LyWw3GeDx615n8RfGGsX/hW4t7/4nprkFxKJ k06O1MRt1bkKC2c7ckde9d+Dp4XEXnSk/dfXr6GdfBUaatN3e/8AWq/IyPhT4os7W3v9J1S4SCKK UPBlQG3EkEeuMAc16eusrGuI7u3UYABLdR6dzXyg+qPapIQx3FVOc8n/AOvzXrnw68f3l/ZWujWO grcSxptMs5BJb6kjFd2Lyvmft49d/wDM56VNcycbKT62bv8AceoC7WZixmediNoKKSCPTirdimu6 fOb7w/BeWl0UKrMjeScEYIBB9DitrQdN1ZbVZNQFhDK/LCMkgemcKP51ptfaPZqYrzWlMhP+rgiy xPpyT/KvI5LO0dT36WXe7epUt6Kz/Fkuh/Ev4laHCttexxTbDlJHzHMpIxwy8Z/Ct+T4jaTrWlzW etRCyvpxtErj7MzMTg5lUiNh1+8OawbK1s710ddOuBGTky3MoQkf7qjNbI0fQkQSPp0LbQPmZC/8 60hXnTkerRw9WMOVVHJf3tf0PL9d0D7N5k07vqLMx6XKEkA8Endk9exP41nfbvF2qa5PfR+GrgQX dwz+VHbMYolP8KDACgdueld1c/FDwTp2VtnRsNs/dFFGfTjnNZF38aICSLLR5HUjgtuPr6gCvUhU xMtVTv6s469bCwdnVS8kinHonxBmBWO2gt06c7UIGfQ7hVuHwR4qlkWW51mFQjBvLVflODnkDg/l 3p0HxZuoF8y40Y3EbLv/ANHILJ7MBk/pXTeE/Gvgzxha773xkvh2YP5Q+1WRli356GUOAOCByBjr WFWriqes9F3/AKuXh4YWu7Rm2/N2/OweG/C+i6XYi01G81K3mYkNcRsJYT/2yPTr2ya04Ph1rs+7 /hH9RsdcRlJwjCKQKBnn06HqPavQbb4aaJLp++41me/tJVyL6yniUAY5Pyjp9G4/Wp4fDPww8My/ aX1LTkdur3V4blsgL2LE+nT175qKWZ1I7Tu/T/hmeu8npuPvxSXrZ/qmeFa9cafp8LjV9ImE/SIM py556Hp+PGK4TRPh/q3iTUhrU/l2doZGdbcx71OexDH5j0646V9Ua5408D3BFuHS48vvDCSDkYBX OMkd+n1rymD+zbgeXr+oyWdzFK8y3cER8sqWJAdclgAuB3FehDOLr3o2PNrZNSjNWqJr+tzgLjQr DShsutKjMyHaZCDgA9snPHsMe1VmTWZwZNDgs4o0KkTiEyHp6fd/XpXqmt+HJdW8NXV5omsWV+kE v+iW8G2QThs5LYHG3AzuPGeBXC+Ita0rw1o7aYqsiWwwdmwmVzkucAc/04rizPiGWHpxp4T3pydr PZd3/wAA0/1ec4yqTaUUrpprX/L+vlL4c8Na/qup20ctxL9iEqJKsIhhG30J3OcE98V75pfgPwR4 uvLbQrP4faLFqdiQbebIAHlNuZt4BbccYDEc5r46k+KWtfalh0G6nQRKfL8vl1yoBL4IBx6HA6V6 J8Ov2lNY+H+tx6hP4ZstU2KbWS7ZdkrxsByVXKg++Pzrkli8bWp/v1aVttv8tzryypgcH7yd7NO7 X4ddt/8AI9x1D4Z614fvYryPRGS8tZV2FpB5Dygtn5xlRt/d4BAya4Cw02+1q1e+uJ2F08s3nKzi Rsq5BLdxxzmvb/iH8cvhpYwadOl1ZTXV1du6rBMrqFZkJMoyQGYbSM8giqlnPpGqfBnSdVs9J0/U 7gGKRkkjUTLE6vKy5bBBIGflYHn8/HlyyW39fkfpWE4llCTk3zNL1aX9dP8AgHjEmn31nIkn2cSC LkGMA9Dxkf41SispLi7T7GJInhB2nJXb6E+/HbFSR/ESGa6QT6dcWUlzcRPtuj5kWxxt5J/eLjjg sc/WvVfD3gzT9Sg1e8vtRtLmHTlkgnktnbfBMqEozKwBCE8kjP3SO/OKpTjU5b2f9f1oexhuK8Di oNyV2ultf0PnPxz4M8Savrim3vHgthAEnuixKMoI2xhP97P4HNZOmaDq8wttOvALW1thie3DEmVx jaVPOE4//VzXqfiSLVGnttOgaKY+WspAz95ug4HP/wBesvxR4X8TeH2aG6t7X7WIPtFuQWKyckbQ 3qCpUjsRzXYsVUqU403FJRtbye1/62PNr8P5UsR7ZX55NvTS/kku3S3/AA1DVbKDUvBf/CNRRiK6 S4We3uySfLOAG3AEbwVyACeM5FN0rTJ7Lw/Z6Kt4CbMOomEeT8zbiQCTjPT6U6zOoXMSyxwQ5Zdy DecNnPTjtitnw3oepeIdestJtniCXEqpLIFz5QOMkgkYx0z0zXNXlWrJQmtnfb+u/oXLJMhi3VqQ u7buUv8APy/TocpqXgpdQkjePVbi1kjQI7Rhf3noTkcfhRXoXxA8Da14cvbNfDvm6hDdwGV1aJDJ CwYrtbDY5xkfWivTp1ccopRkrfL/ACMFgOGmrugvx/zPz1utQzJviTAGcfxYH1r2bwT49n/4RBNI 1W+vUmswXijkfgKBnHPO0gdiMDNcFY/CPxhqsyRQ2B5+bYTGBtHuzD0r0Xw18ItFvo4bHVo9RGpN dS+aUk2oYsLsXAzzncd3Q59q+zrOg4OnU1T7H8/0lV51Km7M828T6veaw8UkUlxMwUZGBsXn5cfr XrHwz0i+8MaNPLqNsEuLlWdFWcNhSflACjqPrxkVta74M0fwtax6Hpekqb+Fj/rBvLc4ILYIJxnG Pw61Tv8Aw9aeALay0e9SS3vtQtvtVw4bJVmJyqseAM54zx0r4/Mqv1nDvDUY2inbbe3z0X33/PpW ArUH7Ss0nprfv023K7380K3zQ2IAklQRMQ24H1UHB68g/wA6f/adzBpj27SKvlu0mT/C5A3YJ49B j2rltd1Xybm1P9qCzuoYSqhZACGQ8q3o3U+vT1rqdN1iG78LzRvZiK5jDefK/JLE54z0zjP41wzw /JSjO103/wAC/wDwx0/2cp1ZU6dRaL7+tjl/FeuapdafaWUzMyKuA+7jHU5xxkce/SvO7u6ln1GN cs6KxBA+nAz9K6XW/Hen6to50G20+eCO2yUw33TnO4+tWvAHwoPjPwzd+KJdVuLPbP8AZ7dUiD7+ oLc9Pm2j86+jws6OAw3PiVyJO3e93ptfc86pltWviOWjLnbXpay1/wCAcTqGm3d2pfyyLRCMkYJ4 OBnHevSPBPj7/hELJbSy09QwUt5pgy/uSSa4jWLDV9IZbGUvKsKndKhJR8H7wPTB5/Ko/C63epao I3e4SMgjO3PJxwf/AK9exW5alC7s1ucHtKlFXg7NHqniD4oan9l068u7u5kjnvEZo1lChowQSBjp nOKs+FPiBrmsao9hpMEUNq1xJNuD+ZJHCCQRkgnOcYrj/EHhu0iETTRyz2cMmSkfp1POcAdK6P4Z 6XoC6pLNpEok1K4hkMSMy7YgSSMDBPGAeuePevAzB4f6i5pX7aaL19Dvy6dStioRqz0b16fL5nY+ LPiB4g8PRKbXxBcw2eTg+TvfdjJ5BB2nPHP9axtJ8d+LdUu7XWNJ1TV7mSzcSxtLDhVYcju27tVX UNA1zUdPummgBMY3qLt/mmkBJOFzhcZwOvFQr4lvvB+njzy73bIMpuOxcj8B7Vx4CUXRVHSUzbN6 lSddexbjTfq7PyuWktr4WUltIkkEVzKJJMAoHYZAYn2yfbmqWjPNresT6XZOHaAt50vzEKi4BIwc ZycAYGcU3UfilHrPhq+02KArqV3EYlCBsHPBz6HGadazWHgbwZPNp+qw3GsXQRpZFPInJDMvXkAF uMY4revVxGHpunG/PJ2iunq/JHFluAj7a9So5QSu+j9F1u/IL3VIfAmoaReeJLaa9tb2ZmkFtKYt q4O0blAIbO0n8a37T4yfC/UNCtLzVLBTqbRSSSWqRERs0eQqs+7LZwv3sjk9K8o0vxpBcTNpPiS0 gvLa4BTzSrZRihUMcHkKCemOtcsng3xL/Z95e21n51ppweISdGIJ3fd65wQa7sNB29njXaWmvR3f S/Vafgeg5qD/ANid07+69Wu+vVf8E+jh+0Z4QggW2ttIZVfTPtiRxny1M5xujGCMKMnn2qrB8ZtD vLW6uNS1b7JFHYRXccccStJKzvt2fMcfLkHpyPSvmz+y9akgieLTZ5FW08lGCHrnJ/lVi38P69qd xNb2+nXTGRI40IQkKueT9AK754Sh8Up7ehlDMsTdWlpt/VvVH1X4i8e/DnRNL1S7tfFt5qr6bNDG kCziIyLJg7gUUZ2rnnPXg1Lc/FD4GNezBYZXC6kLJJJs3CbdgYSlXP3S2VxkV80+JfBt9pf2p/7R huIZZ0R1jDrjC579eh/OovCfhe68Xa3JbTGWztmmW6kk2EgKoOAOnJOPzPpXMsNQ9k63tHyrdrTt 0OyOOxftVTUI8zt0v+Lf69D6D1f44+HbjQb2LwrpDaLfW8xiSe3REQKDjcFHQkeleX+MPHU/iGXz G2FduQSBvY4AJJA5PAJrUez0KCA6XHqMv2dEKXBKgYJP8ySeT6ivJtVkuhLOCHSGQEw7/vumcAn0 x0rDB4WhWqe0cdVs32f/AAxx1cbjud0sVpe2mlml6aHV6bqs94hsYnSMxqMur7i/TIPI96hu9RuE uHnebyYEBDR5G4N05APXFYHgTw9qnibxFDo+lyxo753SSEhFwMnkfSur1r4YeKNPb+zls5rnMzE3 MODHjPU9Pl6cnnFddX6tSr+znNJtXs+3fU0X1iNH2sE+W+5h6F4ovJJ4rOJJJZFZRGPNOSM7ixzn OP6V6NB8SPEfgxrbU4NTvIbfUQUa3R2cTFE2pgE8FQ+AegGR3rj1+GWu+EjDqrQ/appIQZIImIaH leeOSMEZPat7X9C8Wa4Le1sPDLvp1gweF22pI+5vmwT6nr2AFc86uCnLmUk4vd3X6+f+aLpzqpe4 nddk/wCtrnQeGviTca9dWMF7qRlkSFIl3AFAoZhhl7Y649/evSvh38WNW0TxKG0u+ULJfJbXaPkp NGGyR06c5zkcV80XHh7XrPWYprLS5Lf7TuMcakfIw56fQH8a9W8JW134b8ORXPiGJTqDnJi3cxex 6gt1PFeVmVHC04qrTd29lc3wmY1eZWesdbn3fqWhfDDXtd8Q6vp+lWd1I90jWUkCy7GAjQsU2kKu GyeRyTWzqugeB57m+km0K2u0gsFa1eaxeQGQ/Mw+cHaOX5OM7BzxXw/pfxU17Qr7EWuXUNurLKyw yFVPZM5bBwe2Oa9P034+aPcBNO1LUb6K5020clp2QLdmTGBwOo3cYxkZJry4Opb3r/j/AF2PtsJx Fh67UZvle2vy/wCCevfD3wF4Fj8PaTe6n4VsZA8JknMkcIJJYdCWx/EvUg8muvi8OeGtMsplsdG0 m3u1kYmTy4VRV38ZAGQAQTnGAK+c/DPxW8NWeh6X4PvXlt1meNzctO5VZDtbbkYIAZeewBre+In7 Q/h/wjoVqdXuoZZdWu2hudMELjZbHaJJVkz82VJGO2PWr/eVZ8tNt6noLH0IUPazmrK19euuh6zq 6Tx2ljLa+JdD0eSRGMjSMdkw4KhSAc7cnOf71FfNHxX/AGi/hcmq2mkaZbR63ptjDiAS2hWW0Y4V 4nywBP7tTkZGD7UV6NHC1eRXg/8AwFfrqeZXzjCe0a9qv/An+mh87Wv/AAjVzaBotU1vTXR9kk09 2ZEc/wB1VABB6dz1r2jwb4c8NXtmLrSfFfiq3b5RIyzxsMkc8FOPoT0ryXw14S8HayIm1HxZq1od ysQLWKRMg55zIuDx15r6p+Ffxr8IfDW9tAfFtzcadtRbu1k0yNzPgMCd3mnaSSp9tp9a+hqVa1ny ycn2/pM+GwNCEat61lHvpf8ANHB654Q01bYajfeONZ822JeOWeygmdCPQ7l5OB+VeZeIbKTXL2GL xP44jurbYwiuUtiTEvUblyMc9eevevob9o74x+GPiK+kS+Db7yYbVmkP+jmIoxCjgjO4fLnknGTX zT4j1K6v5N+oPHcTONhKtjCepIwPfmvCliaqqumko666K9/uRyZ3ioe09jSlzJW6vX/yY5f4reCb TwRJpEOj+JItfXV1e7Qx23lsFUhRkb2HPPvxWrD4i1a88N28C6XP57x7JyLbaLcKcfjkY+lO0G1t m1q1vtStIbmyV0EVqsZkLN0B4HTPJAr1m50rw1jUUdIpLyCIyQqsYVxuyw5GPl6Dn0z2qMwzXDw5 KNam3bW/n2087X+W+p15bh3WwlXEUmodLX8r7v8ADf8AI8DvdLsdQLNLYQW6u+52I+YnP3cZz0P6 17P8Kb3S4dJv/DNrYymKFBJEI5tjIcnIwQevTPvXjXjLyfD2pfYVtpYlvNt1CkzBm+YdfXk+vpUv g/UfF8GtWd/p02oRSicT7rKBmkHOenAwMV7UcNSxlGPtlzQetm3+h4+FxWMweI5oSaa0/q563omk 6X42sRFqPhXUdF/seVrZfMtEk84NlirblXcqk53E5+YjNcr8QLDQtLKXGgz5uWZ1u4xZiDaex4Y5 ya+wdJ/aC+IOjfDzULKPxTqOu6xd2Yi0p7mwhhNnMONzgqC6kH3IIBwa+a5PhX4w8ea5d67468X2 Q1DVXMlxIyPMxbgAk/LzgVtUqpvlUbJed/0O/H4GU6Shh05Slq7pK3zvv+FjxK11a7kuIUWUkzzo kjNnaoz0PIz9OK9w0aTw3o2lSXujWWyOFlC3TFnwcEHCkkj75yB/SsDxb+zR468PRfb/AA4IPEEO SUNnxL0/55nqP90k12v7LFvqFzrt3oeq+C9P1GfTpAZ4dX0Ge6ZG3KpVgqkooUknPciirRw9aD51 eNtbO39fMxwODxFCsqco8rb3av8Ad/wDn55NN+xNr02uiYl8KrpKC2Dk7dygMPXBrKsfBt78T9Xs bLQHsbue5uBFBZzz+QM5yMkggjvye/vXS/tC34l8d6zBb6Dp9rb6TJ5Cx6dbvBbLjJwiMAT83dhn AFeO6dqHiiK5kutJsL+WT7rFI3ZhkAbVAGR69uleLhcLF1XVpKy6Jnfi5Ueb2M1zO+u+p2h8NaPo MlwtmI11J0OS/ODnBA9F6VzPiaHRhayC5maUsdvmZI2SZ647gDj8RU8dl4sFkb2+06dZvJZmW4Ul wQflXryDwenauc1vV9XvIodPvre2hDxIFAtgJiyoBgnGcZz/ADrooUK0al6kr/1+R3TxFBQVNQS7 FPwt4Zg1nUZdUuNbsbC1tNxkaVxv3LyAqA5PrmvW7jw+1v4YsrHQfEekFZ8yTyO8kbFyxIPI4G3A PHf2rxPR/BnjO/um+xeGNbdRGgm+zWpYqC2wMflO3LEDJ7n3r0zTfgtaP4ai1jVdeu4r64b93p7I u9EHGZSMbSewwfw6V24vD4aUI1MRVSS2Vr/qcEJ0qb5qdN3s7vm/LTT8X5laPwtJY6tAmneJdMvA zorJbzEyRggCRlyoHBLd+QBUlj4S8UaFd3mo3fkPbSM6wD7SAzYBCEqOQTwPxqxbeDZ9LK2ukaTJ NeXL4iKEsSRnoT0H1wOfpW5ofhC61EQf29bXlvFBKYmjW4cPIcEblK5GM4OT2FeZPH4NS1muV6ar X7k7nJQVOfuqlJa36Wv80cjPpGuM8yz+G4r94EBgEkgc78htrnI+UAkZ9xVmHSfEWj6RbnzEsry8 uc3MCSkIkRACqABjj5ua7YeFLSLxR5mm6texWJVyLG4vDPKyBiQ5JVQPl25GCQc89qreNtLmsdLl mi1G6NxIfKhV41MjkYzjkfKOmMZrkxWMpRrRw9KSalb+a33P7zsrU58nNBPTq7foc1Z+C47u/g06 PXLW4V5ik2D85HzFWGT83G0EHuah8U+AYr0rawOlvEIljZmt8cr1IfjAJ7d64e08QX2haw+oWMrm aJvLWRxyQBg59f6V6GfHsuokyWUsci24R2WXsvQsPcda3xFPHUJxnCXMremv3eljzpYj2yXMtUav hnTvD3gHT4NLChdQJaUyzxKszhlzjP8Ad4x1rsbMTavaxMkTwQTAbywwwOc46cDCjI9/euDXxFa+ K7iATXNqkVihiMk29WZvVMDpwCe1dZJeXIs4ojci1hhj8yQupwSx4IOeSx55J4r53F06jmpVr+0e rv8Ap/l0Pdy+CrzfM/cWy6/8AkvtK0a7upPtesXRCMZHAAUMONyAgfdPcVHq/im2RUbTTGsAxhgo wihgMbj0HJ6enSuF1PVLyGS5FuWFtGeZnl2DcxAYgdW6EcdAKx9Q8X3Om6gtpNBLexSqvmEw5iCs cfKOe2f/ANddMcplVS15rdPu/rU2xkqKi401yvvq/wBTqLzULWO3n1NA7To7SRxK+4EEYHLEHjPI 9vpXNXfiv7TpMk10UAX96UI5JBGMc5JGOfqat32tLpzmK1t4lVySrmMDnqTjt37nFc7LrsF5Iy3U VqJDEyLIYRzn+Lnkngj3x713YTCu13G679T5x0bytTev5l+41Ztbawn1C0ht7e4m2Pt2ncxHyjPU AZ/DNZPibxBPf38EFrsykrrlBhmCgZJY8+tWPDdvb6eudQe0kJJ8tkGCcAeo+961U1i+02S8F+I2 88EklZByMYwDjt/WvUpUUqloxule3bUp4atK7elifVPF88Oiz3010S10iGJc8oScEDn0H4ZrmNb8 V6n40vbeW9u7e3W3hW3RNp24A/PJNX/Bmq6VbRXkt54csdZnhG6CO8V3ROvGFYA9ehzU4mvdTmk1 iw8JaPZWs5GyKONYoo+g+XzGJ6+55NevhMHSpX6ST8l9wqTmoOF9H92n/Dm/F4F8KeJlhn0vX7mz EFtHHIj2W8seechh7/gBRWlY+FviM0AefSLSBclY1d4hwPT5hx9KKxnSrcz5K6t8j1KdODjepSk3 3WiG/DPxrJY3y2Elno15DKpZWvYBIqDHOcjIOK+kvCPiXwLb29jeRfCqw8S3TWikxWmi+bG0mQrY IXgDk8+leXfC3R9R+H3j7Q/EWm+C7a8trWQSXEFzH5imJ0IxICckEHPUHODjivpnwp8Y7C/t9b0y 708aBqa3UklpFcxk2bWzscBJPv5Xpgg9evFZ1cRRqS5aa387P8NTtwmFxMKXtat4rZXi7fjoedfE b4Q+KfGmv7/Cfw103w/ZOEk/cXSpE5IyQVYkhvYAAYrCg/ZF8V6k72mp+IrDT2l+eUIskpCMeVBI Azx+HFfSukeKtN143NrPrdnazWaK74jdgFP3SHcoueD+VcjrHxEsLeG7tbW9mvb23laIP9oRI+uA cIuSDx/F1ry5clBucun9dTZZHhq85Yizl1e2i9IrQ5Hw7+yt4V8MIt/f+I76+uIExGhCokZH3SFB PQ47iuB8V/ALxdp99JqXgjXv7QMrl7m2EirK6qcoq8EnGT1OTxXqGg/EuBLh4LzSLZpigdvNt2lw QcBVDsQOMnpWrafEzWtSuvstjLqU+Fx5Wnw+XHk/9M4x/U1pClGr+95U79ypYfCSo/V1pHy7+p4l b/snfErX9RtvEGsaFbPbhN8aatei3jQnkE8hv0/CvRtE+CGieGriY618QfDH2eCLzWgihkuJwAuW ACEDAIYDkkgA9Tiur8SfD3Xf+EYh8Tf2vcRyxFnv4dXX7P8AZ0yMNvZvmUZXqM/NVXT/AAHBdaRB eX3xM8LoJomkkFrG1xKI+CQxwAQB64wTiun2qjFU+ZJLt/wbjp4WjR0jDXfV/wDDHbaD8Pvh7Ldw aTBb311cfZvNSZlWzt5GyAE3uTh2JGAfzrjPG2vTfDjUDZat8ChpU5crHLq1xJcJKB0ZCpWNvwJr j/FvxD0vwvpcekeEPHOpaldi4Xc15boIEC/MNh3MwO4L3xgGuc1X9pz4k6n4duvCuu6qbqzvIP3a SKrpGw4YY7HO3GO9eXLMIKbive+b/wCAOvmuFp+5ez8kmvvOluvjJ8SdYkhs/Cdhb2ZjO6NdK0xV Zc8cEKT39ay4vg58Z9U1K/8AFEeiXumX2pyGa/1K8dbVrg8EmQuQx6fpXklh8RvHcE0lt4e1y9VF ieV4IZXj8wEjeNvTrg9q7Sz+MHjS58OnRPGui3msXbDz7CZ5mlliJwh3DIO/ByM5GenfG8MaoqzS T9f87HBTzSjW/i82n3fLf8itLYrBPPHrGqF5BLsyr5zjqRg/N/hUWo/FK80hSNPKahDuEUcssRLu 27Axj5jnHfNWIfDepao73d1AltdOwKeaVPyn7xbn5QOeOpJFVpdGs9H1r7V5skqaeD5zmE7DnGAo 6bs85B6Z614NPNXJvnnzPstvw77BWhjElKD5V36/d/wCtN4n1nxbfL9p017K4jTB82Py1X6n1/Ss TXYEa2ivdR1m3u9Qt8NJI0HJbp8pPtkdBWB448dSw3220ty15E/l3II2oVZVzj1zjj6ms+7v01WJ b9AUV1+YbtyDGRy3c/SuqnhMRJqrL3Yv59++tn0OzKcLTxFSX1m8ra32T6GtovjW6sY7uOG+mii1 BfIulDM0cyhgyhhycBscV07eKUtdNjvP7UsE2gJFbofMmdi24MWbBz1GOf615LJc2VhNIyFn+Qpt xtUc9h69K4rVvELzXD20UeCjY3HJYkHjmux5LHFSSeiX9f1+Bvm1OhRp81JWk9LJ6f18z2i08WJo 9pcsmqmQzs8i3UjYbByNowCQB0HPenW2qteX0V/o5uIYriEqzghvkBzkZGNxOcj174rxbRtfE0Nx ZahcbY2Qg9AVPP8A9aun0HxTf39qmnwSpD9mXy0JO1SuRxn6Z/Wta+SKneUVq9+1j5ijUTUlUk04 q69Tv9c8bzWkp8q3CxZaMyv97BGCAa5Dxf44uL97eKPUJkkEa+ZHtXGenbvj+tV9dl+1XP2IBJX2 eXKixkndxgL9f61zNp4S8UXuouU0uWZmcxJg7clVBJw2DgZHPrxXXgcro2VZrVf11MITr104QTd+ 2o6QpcWySmQZlyCcc5PX+RrItZbn7YtpG7OJSUQjPz+gx7nivQbX4U6+dKSGYm1uHmBCHEgAPVmI PAHoM5zWvafDaPwNJB4ke5XUryApCF2+XHESSN/XNdtTGUaUWk7vou/z2O6hw7mMac69ak4046tv ovR6jLFVsrSz0QTNKREEmkRArbid2PUAg8859arap4nstP8AENj4UgilkkgRVDzTkqzbcrkegIHP tTNWNoDdais8kUoiMxbafmJHzbT7cA+1cdP9ilsIdShu3e7hBzIvJYEYCknnp/hXmYfDKo+ap1/N 9ThwmMUKcubR9+/kaOu3klvAiNqq3UjJ56ktvVSx+YD07DB6/jTPDmpXU9+Lue7cyWybTGTjeo5G T7c/pXM2lvcaizww5BAZ2ffzgHOAO3TFWvDk62ty4mQLkFXVuQcjODnrnpXqVKEVQlBav/MOecpp p6ux1uoaxZwRhrZpYnuE3CVSCOOoXjI5J5rldclj8xbksm9QCDz0zyB71q2lvJq802p6grxx2Ugi jjTgMBjge3IJ/Km+IIINVgkittKaSRAwWRQTx1yCOO1Rh4xpSUbep9BToKeH91ryW9/M5+HWLg7z HM6xgcDGdp59egNWbddS1h1luJjCUQhWJA4zWNb33lskAB2Btp3DaPxrSVwX3RzBwRtYA9MDHJ9a 9GcLapanmqUlo9ToNLtdO0aLzxdxXM8mRjy12g9Rkk5I/Cta+0h/EVukJntIQjDiLPI7YAX35rm4 IT5UUpG3ep+8D83XpWr4fu762vJky6sEzkEgdP0rhnCVnUi/eQ6nPKl7JWt5fmdxZ20Ok2yWdzcr O6AAmR8YOBwAenaiuLfXDayFJsSt/eKB88nnn160VxvLZz956tns0sfGnBU1FK3kfXOqaxFGZrmS F2lcPLtj5JwMkZPfnAGeaybrUpby3ktrvT4ZLYGPmaTGdwySMDhl4/Hoaz7nxfo8N1drfXuFjxEh UhQ698Y78Yz/AI1ka5caQJIxbTBZbhQzwmUsE65wTznGPyr5ShNQik6fvd7v8LNWsfZY3iOWIqtU JNw2cXypejfLJu79B7w2Hhy5l1i81e91ZJWHlQTy+Yy9wFA4P14qydavHklcTNHFM/7s9BHj39fb v2rk9a1hIkMQSRBny2Qc4A6EmubbW4YrqAXxmEcE6eZDFKCBx3z+Vd01XxcF7TVr+tv1PAxlPFQc pYeMYxtsm7a77nazfEK+l8a2l1DrKWj2zCRGlwxds43EsPm69DnNeha18czNcq7+JdUvVkiwBEfI jgbaFASMAA8gH8TXkD6p4d1PU3hhtLSC4tYy8cWwKGPYM55yOOa4vUdchtLSOW3hWK7LOxKruTHo T05545FduFqzcFSpx5Xpv5/pp5nymPhi8NGU1UT11tf/AIY7q++JXirxrqDtpv2x/NjeNo7aU7HU DD717DjnPWtRdRumt/IWWae5ZGnuSx2IihRgZOM5wBgeleNfDnW9Tj15NKtLtUS8cs8bnCSMVbGf pnHtXcarOTryPFeII7NTbSvGrH7Q2Qd2c5Ze3PPFZZhgazrOnHa1/wDh/wBLdfuOfAYKtXi6sE5v bpYoXviK5XUEv1kVFXe2dwlaVwDk469jg9qi17xcyaXcPDJJH9ojHlCRArOzAE/061v+G/Bml6zN fG/tJANwEMm/AUdWUL+Jwc9+a8++KWhar4S1O3truGR7J+ba72EI4zwPRWHcf0NdWFwdCpiIwdrr /h/n5jxuQ4/DUViJQ9xvW3T19e+xpaF4wt9Duj5Vot+uobEMssu1o1GN6gjphsnI7Yrq31+91SC1 s9OuJrWB0WWd4VaRnBbds3YGGGSM7vyrzvwJZaB4lsJ9DurW4+2mRpEuodx2DHp0wME845NeleF9 EtfBlrCuqXR1dkJEbMuEjjP8OD1bvz+lRj8Nh1VaSfOn169n1X5GVKlKNOMVJWf4ep6JpLv4g0NL VLq4hM8WbbYcshOSvQ4A65OcjisCbUYdCsmh16S9kvY7YNHLeR4UNlsMA2FO0HG7J6V6x4U+KvgL TbG0uJrOx0uSZDHFGLdcYHHTHUDnvivQrrT9L8T6QV1DSrO4RyGiM8YkC+p29M4rgo5VTimpt8rd 9rWf6n1jpKrRiqbXMlvvdHwlDpmo+Nr6fWbWC5uSqgiPyWkE5U46gccYNaOu/wBpWGmWsN1p01hP GD+5nj2OeeSR06Y9+a+wr7wbPBbTv4f1HTbcxLlbW4/dluP4GHH4EZ9M182ePPh18avFHiu4gvvD MsskTgo0N4klsiMoKgPwOmCRgEHrXvRhGq42aUY7Xey28jmpKvgaUqUW5OXZfPzPHLyWWRllVd7Z wxPHPQ/yAqLSPDFtr989vI9w90jblSEDLD65r1/RP2VviLqUxN/qOlWLtwkT3Bkk56kjAHv1xWw/ 7JMltZPeQ+P1g1SMEjz4NkQA9TnI57jP416EatFO3tEvTX/MyjHESV5Ur+T/AKTPMtJ+DGuLcPqG k3GkWtuYmknN+UnXZuCk/Luz8xx6571rfEH4T6V4E0DT9Xt9UhmvH1FLa5t4UZYcNE0m+PczHPyg YPGTWvp0nizwdqjaBq+p6MsMduYopLciXzRu3fKyEHhuSDXN6r8Pde8Ya5Pq+seIL24e9nEoS3jI UEDauASeQoxW1WUes/1ueRUpOcXHk978j3L9gTR9H8QfHazvPEXhyLWrfR7Wa6RChcQTom5JAufm cY+VT3bIHy17h+0f8Cxa/FvT7vwzDb2um+OpxJZSTL5SW9ywBkifONmSwYZx9/Havn74Paf8bPhI bqL4bPeaa2pgGaXekDOFBHJcA8Ak/rXp+tx/HjxdoMemeO/H5axtJ471TcM080Msh2oyucAH5j/F jB6V5VWnzJxTVj6Lh3Gyy6ko8rvrfRW19d7f1oQXnwA8Q6Z4rXwpr17b6XdC4toHMhLj9+zBG44A G1i2TwPrXQfEr9l7wronwO8QeK5PFF1ea3pltPeOkAiaKPyyQiOA5I8zjBwxywFfNHxm+PHie78T atp1x4o1m51nRZf7GubmWcETtBLKpckKDgjaAM5HPJrmPCvxp8XQeANT8D2WtX0Z1SaFrh1ZWeUK zHb5mNyKM/dBIPfoKqWCdO04RXT+rsjFcSPERqUMTzOLv1t+CsjznWLxrSAxTqZbpLfyD8x27e/5 f0NZ1t8ulRQlgAp3Pg8EkZ+vTApPGt2891IoV5XaUxqwySeD19WP+NVbeGW20iOO5WRJDvchjyM8 D9QPzr04QSpp9z4vkXs0/MmtNXsdPeKNUDM2QZgSCRnPzA5HfqPSpba2hVE1iVSUkG6McljzjJPA rGiuTHeKlzbiZTmJS43e5/Gtq+vGjsvLjZYlUMiqfu4H3ce/XFN00np1NKl7q3US01+W0leK5ceX bvv8qSTcpB9h1J6kVoWXjZoYfMKBjKxYL0yemCfauV0TQtR8Q61HpulrJKZ5VQvtB256k/Sus0Tw fZ67Lf2El55ctjBJIkjuArMOACcevp61niY0LWqfP+vU9HCVqmGmnTerNLwV8N/+FmeJorS3v7XT rVF+1ahNI+H8rKhmjU/ebJxgevpX1Jrnw58GeHNKtLrw34ftvsGwWoEsKsxkAxuY4JJPJJ7kGvDP gJHF4U8Sr4h8Q2tlq2lQWU9u1tjJMkiMqOvoyuUYZ9K+m5PFOnXT6bp9rvljiH7uMRF98gGWCkD5 sA8ketfP5hmGIo14+yfNFJ6L5b/1ofoXDuFynMMBVpYhqFRtPmbV/lfp0a69TgoNOt1jSMaVAeR0 thgDHQfLT3tJrbzbq3shG7RMilLXDYK4xkYOMcYJxit+2+Ifh5gyXOrWfnBz5ajIBUemevSr1vrc raL/AGwLO6vbedZGt3tLORkmVB821sYOCDnniuOOf4p3UaH5/wCR2UuFMlnZxxt+v2f8zhmtr1wG trIPIPlkJjY4A6DA6dTRXdX0ngyKzs72y8Ua7pt3eJ5l2s+jRywudq4MX71TgHcCTndgHiiul5nj E9IR+9/5EQ4cyhq8qs3/ANuo+UL7xXdT6grsvyx/OM859+elJreuXmq3MZuri4LsDhkO04PPLe9S axo8emafdTSYW6e4C259Ub+S8Hn6Vg2ctzFauBFiWFSBJxyPX1/Gvo6eGotKcY7aH5LiFVpydJ6K +vyPStLh1rxN4fWHR7Ke6lhURl3PzcdAW4HvnNcp4qtNb0DVTBrEjrcpGrpmI/Njnn+Ejg81seB/ Ga6JciWMRpczqI40PRhxwR9R1611fjjxFB4p0M2l5pIYod+RJnaenB7fgea8Z054bEOPJ7j+/U+/ o1cNicndedRqpBfLT06v5nmsH9myWovmmnNxNHunLELGSOQAcA9hmqkXiHU9SsRoMsTtDESwiRNx JOemO2PbPJqhq8z2lvbSykyqF+ZIJQGhHPp0+npWHZ6zeEvax3EgjbcqfNztJyR716UMGpR5t9dL 9PQ+Elj8RPmvovLr697mxo2u6JbRKNS0mN2h3SRSDOc5wA6k4KjJ6YI966/w9N/aWyaB42Zn3Nz2 6kc9e9ec2sFjLIou/MkPlhRGh++MkY+tdHZ6tNbr9kWEwLbqWC8D5Dx9cjNbV6Ks+XfzPSy3NJ4d Wkk16fr/AJn0D4ft9KjthCskQmndTuLcRqRyT1J7cDmk1q50G90u+8O+ItQs7q2mJjV93zlCODt+ 8GHODjt9RXz1a6nNfv5RnZsttA80qWGe/wCleyaFrFtoXhCe5sbfStPe0iE8zrcKZZ35BDAgnncB t69T6141fLXStK95X9Gvn/wD6yhxS6qcZwSVrWez+Vv1OG8P6BpngWfUI7TU/tc4Zo8mJom8hgCP MVgMNnBz0IFahv454GsJbxYZQ6DzkVhHjcFJB7AZOeOlcX4s1/VfE3jS612O3lktLmOFpWJwCypg 88ep4966C00y41HUI9KtYZJI3j/cKi7Q3CtjPTI5Ga6J0/eVStL3mk3tpbpofn+LmniZQorS+iXn +JFp91rniO6GjDTDfWdhdYVY+cB2P8XBIIGfpX1Lp/iefwtZfZW1Q6lBguom++BydoweABwOSOK8 N8D6ePBxvbq9j2tczrDboxDMAMbicH/azx6e9a7a7cais6IBsHytIDgsoPBX3xnP09q5swrTqS5a OkV263Oyjj3Rh7OWkvx0PYbr4z6BbWhurvRLxWjQEvahSFHqcHIH1Fcbq/7R28Mmk6QJn8l5opOX JCkDGRtG7ngfWorbw9P4b0mfW9YujaQywmaGM/M3lAZPmZxjdngDmvB7a78R/wDCUTweDb6z02O9 VrhRcyLFEqDsC/1471y5XWp46c4Q15evRvqv+Guj6OvUxGEw0KmK3l02dun9M9Wn+J3irXUv4bq+ ZFhjDIVcKct1AHXGPeuK1nxjdaisy3nid0LTR7J5jw6ow3AdeDz6cYrmrnUoVC/bJmknQlsxuSGf PX6dcfWq99aWuoXavNsknjXBiOQqx9jnv+ea6sLhFTqudTb/AC/4J8Z/bVdVOdu33nWW2ofD/Vpo p/t17qEli8hkUx5Q723YZ2/hHTABPFd3YfETR4sWkOnvCquo/dsQgwMjb3HOO9cdonxI0iWzt9D0 L4fafoc0MO6a7ECgStnG9gcMVOARyaoXmn+IdV1AXMUUEss07/vVwkErDGPLBPcDv6jNVmmFhiZK jNtKO2vzvofa5bmboxdalrOXxaL0tb0+89/0f4tW+laNHY3UUl28OnXkks4cAt5kRJweckbCOO9e Z6z+1F4laH/iW2trGHEO1Cp+5FjYD2OMCuMvfC2qedJP4n8bRwweXJ/oem/vXVSPnDHKr9eTnmuX 8Q+HtBi0yxfw5ezyvK3lbZ2V2L5GSNo4QZ781vhcPCFONOrLml13seDmWZ16tZyo+4uysNvNasNd 8U3viHUoIxc6rdT3rfLkPJIxbnjBOW69BT7mxstF8VvaWkfl+VA8swQ5UHbgMPrnpVV/Cf2LQl1N dciN1Hx5QUqVw2MKc8+vQVXl1VheXWoExyG7hWER5ZpAV6ngdOprVtzlek21Zr53Xf5niV/aRVmr t/qYmsK6zu5BDoGYBOCD689f/wBdUxKZtPEpXOEx1OBz/T+lbcGh614gu1ttPsVuGfG5hxsGMkcn nvx7Vsa34F0vw9bQ2WteJF81eJ1hj3FU5+6PXp1962liaVNqnJ+92V2/wNKdCrKmpW0XyOD0qCJb YXMM6zyL8uWGCvsPfk803Xb1E8hJEyzDaVU5AGOnuelQWtnawalc6XHqDSq0hVXCkBwOc/XqKdf2 Emo3UUccqxLD96Rj0H07nj9a77x503tuacqVb3mdr8MNL3+E/E+uxMYDbBUWQg4AOcAH1JGKx7WW 4s0uTM7jepVkDdTkH+n41Hb3V3pminTbGeZLF23yA8eYQOSw7/8A16zLm8jMcFuZGRGIZ9rHr2rk jSm6s5Sd03p5Kwq9T2tlFaI6rQfFuqaTDcW9q0CJcjzVeXI5HXGPTpiup8PfFLxOtuLe31mS3jtC 6w+SxU75ANwGOxCKO/T3ry20aS8kFtBIWZSUBJy5HfHYD3pfC95NHq0unuZIkdjg/wASsBUVsJCU ZTtr1M5SqRpSUHax6Cut3UVxFctcMHikDjavY8YGT17fjXc6V8f/AIm+FtDvPDHhq9VdChjbzY5Y Q6gSkRsFJX5d2/BwR0J615eV8wyX4wTbxLs3j5Qc8se/apNYvbq30iSCGbemovFJdZtgQmDuULIR kDJHAxnvXNh8PSlVipK5nl2Jq0qylTk0/I+mtW8S6lqul+H49XuNPlubbSYVIt75ZgoIyAcO209c rxjHSivnbWfEdu0lq3hjxLcahClqkMkpieIqykjbgk5GOfxorOrk6lNyTt8j9BocQONNRmm38iXW PF8Vy3yWW104VZUIYdR3+tWl8NWtlGbxrszJcR+Yscp2gvjkgDqvB6+lcPrMt7L4hubeS28ibzSG g6beeldRYalJc31pp83lvFHgMxyQcHB/Dkce2K9etRdKMVTdu58fKs6+IdSprfX5kcmi3jM72l7H IHPLDP7vLDn35wK09PS4gmvtDh1gXnkv5MPJiR0HV8NyMjGM9K17uTSrfSxFZX04mifB80qFO47u B1GOucHpzVK38GS61cjV9PctazZhj86THzDGee4569K5J4qDg/bOy7tdR1MO23Gi3d72fT/I4rWr ATWSx24YtIQCSxAYL3I/Hiua/syWKZGQDdu/PFeleL/DlzoF75ErLcNJtSMRtk+YV5Tb1Na+j/AL xT4itYxJqmlaPJMPljvndQCRwGZQQpJ456dyK9HCVIVKPPB3T6nJ7GdKTpdTyyJntXjngu0V0cso zyc9R9OKsNrENpNJI1uZJ1XYHPTd2479at+K/ht4x8DaqNP8X6Bdae4GUcjdFKP7ySDKsvuDUkHg 3W9WkhuNK0q4mJPGIzsx7sePWnKCTSfUz5/ZyUZMypNW/suzns57RJJbkArLuO+IjPT65HX04rZs dM1e70YAyW0Nu0YRpp7jB+/u7DnnnHJxXdaH8IvFF+WluNDgilXmCSZ1Ib3xyeOa6gfCLxA8Cw+J NQjNjGdxit0AzxjrnjoOdvapqOs1ywj6t/oEpSlpCLOG8IeBtY1VreztLwPbbssUXMe3plyfp06+ gr2nwx8HGi1K3vk8XWxltI8R2lzAYxLlSDiUEhTzwGAB9am0i3tNI0qK3s1S3tAN/A++O4Hcse5P 41v2N0kpSIRiJvvR2pbAAx9527/56dKylgoVINVHdu5th6cYSUmtb3OC8TaFr2lau1nqen3FtdJK WVHg+6mCo2kZVgeDkE54q74c8E6pP5N/JbRpCk7QiF8tM0f3sheAAcsMk+vFes6XqkF7p8mn6v5O p2CMP3N0v7sseCITwVIHcEVUu7IQLHL4Y+2XCMm9rKVd7wr6h15I69QOlc8MsoRXJO9v69Dojhou p7eLv1t/W/8AWhka7o9v4jhmtdRErI6GJVEpRY1wQMAdSAeCa8V+InwS1SOKCTwqxuILcl2tpGxP g44Vz8rcjODg9Ote5R6jDcfLLuilPARxtPHp6088MRI/ykdDW+Ey7DYSPLh42XzOvFYutir+2le/ ofJ+p+Gryz8PGfUE8jVXvYoYbKY+W8UZVstIG6A/Lg+3vV6Tw3FFaK15rESXEwXy44cSNNk4bkcb QOev86+jvEfgfw54ssxbazp0dyq/6pydskfurjkfTp7V5brvwk8Q6FerqGjH+24I2LJbyFY7mPjo p+7IPbg+1RKhUSbg763/AOAuh5dXCx0tFWSt/wAFnMa1LoWk+ErTTre0uJbhZRPcXTIFL/d/djqe M8DPau6/Zx8E3nxc8e6Z8O9daaOLWzIF1JYiZLTKEADPGOnHfFan7KZif44+E31PT5Ly+ju7hm0a 5i+aYLDIRFsZepIxX6P+Ez4c1K4fUvhXPCk+kSA33h6RVjuLRh2Ucbl9M8HsQeKw9ro4VI+8n/XT /gM9TKsvVf8AfTlZXta2jsl5n5zfEL9j27+HWtyeGPFfjS+huo28yLfb+XBcJn78TjeCpxznBHes WX9mbQ7O0sr638Vtdy3Cl5II9Rhja2OeATtwc47Gv1R8TaX4E+I3hK9ufGegHU49Ik85LQK32uAg KCiAYfnBOO+a46P4X/A+K3keP4JajOI9PW/+a3mLODt/djLf6z5vu9eDVSxM3dp2v5I9xZLhV9n8 /wDM/PfSv2evB+qwzrq3i2HRotNtjLa2xu45vtku7ITjkHPJJOKZP8ArS10GbV9OmWW91Fi0sCCC 48hcqFACuG3H5icEgAc1+hcvwk+Alw7pc/BPUoDHp66gXS3nH3sfuwQ3Mg3cr14NY2rfs6/s336T MJda0J7e2iu5C1y4VI5NoUlZA3d1BHUE1yPVWcvw/rqX/ZNC91H+vxPz+0PwJceErFLRbaaOZZTL vns3jLE5wBwe2Bx6mvMviH8Ifiras2u6ppEkqXsrECF97KgxhmB5AOcAHng1+ltz+x7ax6jHN4Y+ Ls/2NZQGhb5JQSNwUMG25I55ArF8afBH4TwX9t4Q8U6teaRq13mS2n1K3JhnAUfMZUVV3Eg8hj15 FLD0o0qkq1k3LfdnPiMpUqapp2S21PyYEV7pWry2uq6ZLayJGyoLmExsAPQEfX86bp0kk9vI5hUs WyCuMkZ9favu74vfs5+IvBwa2le3l0+ZsQyzss9nMSOFEpACEjtIoH+1Xzp4k+F+iWt3LpUtrceH 7xGx8iFog/o0ZOQDkHKHGOgNdqxUG/eVvxR4eIyyrTu9Oh5BKZkhMbqFjZTl95OwfjXOvcs7vtZ8 d8+tdZ4o8N+IPDE0dhr2n5huFZobiNy0U4xkMrnv04OD7Vy/2BYSxmXLdsHjpXfTSWrOeCUG1Pc3 tCgW2tjMJHV5cAcY2jOcj9OaSWQ2+rWMoJiklGcDqASR37020ktV09N7uoXKsc8YrrPDXhTwn4m0 XU73VdTjtL6xVZbKKWVU+0pglgOOoA4Gc1z1pwinOe39I51HnlK/n+Rkazfiys/9HuJURs/uwOpP HJP4596r6PFdai5t4zfzrLKNjc+Xn37V6T4o8PeFfGPwi0caRKlnrvhl3txESf8ASoJJnZieM5Us CPYtWB4EeHwhbyi5eOeR2BOVJA5x0P49KxjWjRo81Jc0uxrhKFFct52T1ueg+HP2cvE8OkxGHUrY JITIPLkSTr6twP50Vf8ADXjfx7cxTDQI7e50+MqsXIXYcZI5HPY/jRXmPOK0Hy1HFPt7v66n1EcD hZrmV3954Nd3l5cakdSB8yV+WcrwT+PXtXTeFvD3jNpLfWdMs3eGeXymVYy27uTgAkDjqK97/Zb8 HeGPEHxkOj69p1je2Vxplyv2ZowRGwVSCPRhzgjkV9A+Nf2f9T8Ob9Q8JwtqmnxfM0BO65gX6fx/ Xr7Gve+s0qvuPS/c+Yw+ErVqHt6a0280fHzfDW6ukW/nt7mUtKEmgQAYyDnPORnjnjpzXQ2mi+Kb LTvskccVrAtusUId2l8gr/ERtOQfQe3pz6s1tEQwRdoBwQBtwe4I7GoLi1KR7gu4fXmoqZZRqpKs 3JLv/wAMTH2kJc8ZdLHO2+naXa21vJHpttLdxKQjiIb2JHJL/wAIP5+tW4bu2O54ZgHTiWWQfKh/ uxD19/5U+SzYDZAgXJ3Mh4Vz/tD/ACaz5YJ1KkqIZoxhCxxGpJxlAByenXnnv1rro0YUIKnBWSFU lOcud7nR2mrN9i/sHWrSHU9Om/5ht6vmOS38YbrGe+VI/Gsa58M6fof2jWfBmqJJAjg3GmXuGmjz /wA85AMOAfocdjWZPrKaTby/2k2yFiXYkAXN0QDkAddvHXIHrk1peMLKPXfDQ1nw34ghgMCEfYJJ Nk8jlSC4KnqGwQOT1yc0TqezkrdSo2qRalrb7/l/XoXdP8Rafd4S5j8md8YVx1/3T/8AqNdVo1p4 evliS/8AFR0+W4n8hLc2rS5Bxht4IVRnIO4jGM81wcuqa3q+jQabqOmW1zd4YG6WMRuRk7d2B8x4 HPX61uaLpU5DRyyHy1H7uNmzJx1yT/iaUpyqQsm4v5P8/wDI2ovkltzLzuvyZ0vxO+E+reEb+KfT 7a8bT54gTqR2NFK24kABCwAxjknPJxXGLZsqsjr5BdvnCnIkHu/bnt9K9H0Pxp4v8P6ZdaPperSD T7yNkkgnQSKm4ckKwO0+4rHsdAkuXKASXBPzHamc59qmn7SK997de/qdNaFGcr0la/Tt6HNw+KL7 S2ksbeE3t0Nq7PLJjgXIOA3c4Pb8yelq1vJHjOtRTX2m6xJa+WDDKoWJ95YFT1GASO/UeldlB4B1 W4+WLTnjB7uQoP4GrcfwxltwJNU1W0tPx3En8cCoqypfaZVPDV+i0OImt9U1a8e8vngkDqQjCHaw 4ABPIBIwOcVpMm5kUIEiRQFi3MVBAALckks3f0rvbbwp4bguJdOuPtd5Paozz7ImCxgKWO4gYHHv WvaaHZxQwSad4cRXmlMaecPmJC7ieeawWIpx+FHRHL6jvd/qea2ul3124+zW00oz0SMkGtu08D65 dgb7IRBuP3rgcfTrXqVr4Y8Zy3M00VoU0qyiD3Uqw4XOze65bHTIGAM1zEeo6fo+jTXfiLxFDceR E8FxOrZVC7YGQufmGcCs5Yxv4UdKy+MNal/yKfhzwJd+H9cs/EtpfwQahYtutrhIQ8kZwR8rnnue OlU/FninxMfHE3xY8GSn7fdaVNHPPZMsbfaItp8w5OM7VYY4zgjnpWnefEDQ9P1TQPDlvBdTvrES fYnt4cxBM7Qzt2zya830Hw18SLLxLJo17D/ZqXMTStHK+Fnt5QSGUZOcrkgisXNSvOpoaONrU6Cb 16dGfpRpd2t3Y2l4zK8s9tDLI+ACxZFOT9c5q/Fe2uSouYsrwfnHBrwGz+LWia5NJH4W8P3msy2F tFaxkukcZKA4DSE4XcMfyqv4e+NuPEU+i6n8NJbeRHZby7EqfZYXVVBHmEYYcAZB5JNcP1hrpse+ 6cGk77nr+o3fiaTxBqK6T4v0RLUWarb2UoUywzZXLueu0jdx7ipbubxqkFyW0TSdXhW1i8tFk2me X5PMByNoX75HPYV88aR4x+Fuh/GHWvH3ifUra6TVLRbVNJhdbmGHBX5yFBUN8v4V6ZpGufCDVNJ+ 06V9rsZpF+aTT55I2A+XC5jfttXt0FJVk1zS0v5NEQ5W+WNm16P9f6udFq8tvFJLL/wjp0iQ6iol mIULdYj4cEdcDjmvKrPxVY6z4b8YabrpVtKtd8ljeK5EkMiwxYKHPBLuVGOvI55rY8LR/EnUNa8T 2XhzxTBd2VvcF9Lg1E+aJoBxhiOh5XqP8a+Xfj7rPxat9Ym0nXdDk0CC5nJVLWAG3mbGD5bqdvb1 yPak23+8hrYKlZwh70WcImr+NPEfiSXSrC4vNckR3xE0hKbRnJOTggDv/jWb8RdUu7bxAlvY2lk0 FpZwbY5rWGV7RtgJiBZSflJI9unameEtS0PwrrDXV1M73oHlwTod0No5OPM2/wDLTHPsOoBqvq+i WSao9zFrEOqpcEyCVCzSSE9WYEDGSTgZJ9a4o86Tdzz6tSPJfdvt/VzkLmzHje7bSfE1vDNDqyNb kRQRxmF+qSLtAwVPT2yK+YbsnTby50e5ZZBbTPAWUdSrFSR+VfXWrRnw9pt/q1rDG2oWdo80UWMi D5Th3784OK+R9U024tblpL35zIS5k7MxOefevo8vhUVL96fOYpQjO0XfuVLW6W2kMbIXgkIJPUj1 4rauAllHDN5eVj6Kw69v0qnpdvb3V6sRjG0fvGPoBWlrISeIgKSAmfcnFbz1klY8mrNOaX3kumaz cW949vHdyRwvwdpJ4610N3b/AGfRbS53MZ7y3lcqFAMW1xgk9eQa4mSbY6uiAOyjJB46Dj8q9I8W Toi2io5MUelSIgAyMBRs5HXOFNc9abVSEV1vf5I2o004tnNzeIr+ALDZPLsGWYKx2gk9h2FFctc6 jPGVWzfCEbiFABBPXJPWitvZReugQi2tz7e+FvxR8F6J8XdI1eTRNI8O2StJZmS2jKfLIpALjoBk r831zX2bo2uJ4g0pbrT72NVMjRxXSBWPyPjAPQg8cd88EV+Z81zpMl/HLH5JUQ4KbA4D4xn9etbn gn4zeNvhhcp4Y1S7e98OidbmSBA+JGxwiuOV6/mAa8ilCVTbffU7svzl0lJV1dN9Omh95eMvhZon jJLjUpY49L1KMnN5bkYdexlQ4z6HPI7HFeDeL/BHiDwddiDWrMrA52w3SHdBL6YPY47HBroPCHx4 03xV4gkOpTXaWV5aiBtPu4vLuEidegwf3i7uPXB9q960TR9Hv9KXTHuUvdHkt44oYLlRIuAAOSec EevQiu2li6lGK5tYnruhh8deVLR/1uv6Z8hzWpZt4CqR1JqzFpq6parbXUkYgRi4hPIz0yV78cV6 14m+F3he01jfp11fQWzZzaSAgxODggFhnHQjr14NZ8Wi6BZzXKQaFcXMloqvJM4JQFiuFyc/Nhgc Yrv+u0nG+557y6optOx5Ze+FbS6hjtGae6ELl44iWKBj0IHXPJ4PFXLDwDqlwR5GjS7Dz+8G0frX sBW6iN1bWFnbLJFAjW6QpvM0zfwDAycfTk1uv4G8QxXVjpeqXS2dzfebODdSrar5MarnByx+846g Hn2rCeYJfCrHRDKubV6+h5LZfDG8jxJeXVvajpz8x+nYd63rLwHoeJZZL6e6FqpacwrhU29eQDzn AxnrXoen6H4WtfEk8F54itpLi2ECQxwQtcNIcZ3h+FCknuO1Zo8Y+CdO8Aahq62d4UgLNeS3NwI4 JG84BkVUGSpJxuPIHNcs8fNvR/cd1PLqMFdrv+BTXwlpmnaemoSaSI/Mby4/tBDM3KgnqcD5hVy1 0LxbqOrrB4csLdNIttpu7j7PISByXAKjaMKO571yfxf+JuNV8Dab4X8NfvL28eaa30yBjmEhMEkn 5juJ64zt4rd1bwN8ZLvxVY6nYeJNW0fwfZiOe806PegvJQ5LBhwMFQinP5Vkq7cXKb77mypR5+Sl Fu1tvv3OkPhO9sdETUvE+tWNgL0xNunu0VIY2bcWZVJIXaMZ469Kgvtc+FejGwutR8TG8sBAY7eb SLLeszl8sCWyBgBfm759q4zwT8KNNtxrevzXGohdelcTnUSqJGhffhI3BGOgyePatGSL4aeE4bXR rKeK+aKeWb7NZIXw7sWbAU7UOT6YHYCsJVoyfLC8vRf8OdKjOMOado+rv/lc07jx/pkF/rOgWHgm 6muWSe7e/nuyYWzlwhiXgZG1OfU154fj38VNesrdLPRrbwdqwvPs8b6dphkghtW+8SzAguSEAx2r p5fHNlrOqada6VpF7p1tduUupzHD5jA9xvJJOMdq9s1T9l+80jW/+Egfxsl7oml2pkgsL+z3l1UH KyMHAxwPmAB9qShWkr2St3v/AMFDhUpu6Tc2+z5Uvwu/6+Xmp8E+P9X1JdYn168M8MK4guLthb3c pQhmeJV4JbBz7DipvD/7Lmp31pbRXU88G67jvryOyt8RTyLnC7pM/ICxOCCScHNfVPhjTNKGl2V9 p0VjA00Syn7FteNwcdGxkj3zTPiJ48034b+EtR8Z6xZ3VxY6ZEZpxbAFwv4kd8D8a1p0ajV+f7kb Tjh4+84Xt3Z5ra/Ae6torT+y2srCS1iFuJZVEknljHAwPbpmqOsfsleC/FGp22r+LfEWr3MkCCMx 2rrAjgHIBOGbA9iK4TUv2v8A4t+LWK/B34Cz31rJBHNHq2qXgS0+dFcKX+RNwDDI3HBBFec+OvHP 7bev2O638e+FtHnuJliTTdElQyxAg5Zp9pUAYA++Sc8VrTw8aclO6T83r+H+RzzzBOL9nByXlHT8 bX+R9dxfCT4X+G7RpjpcNoihC1xcXTD7n3SxZtpxj0rwf4v2nwx1u7njstT06/mgjbbe6dd+csew AlJIQCm7GTxyfUdK8ys/g5HqkcMnxC8V+OvH2t3CKbqE3xW3jlwCypsDsVB4ByuR6dK7KH9n/wAQ 3ul22m+HPAsHhnR7YyeYZ75ohLvAVvNaR2c8DpgdTxVKUU04v8P1f+RE5YicHCUEl63/AEsvvPIn 1fwxPGE8O+fdS72URrHiMhRkYbvuHIwABnB5rT07V9Y0aX7TYNLbSgYdUk6+xHQ/jXqyfCbwP4bt Y4/FHxR0m0igGxbXR4WuCB12hhwD+FQXV58DvDkaR6F4T1zxNfz2xu7d7uUiOVBnnZFkkHBABHJI raVWEtGrr7zzoYOcGnKaT/rtdnI+G/Hoaa4g1bVteCsnFtpzrG82TypB4wT3AIr0f4JeLvD3izxo 3w7ufA1zaWlxCz39nrc0k0zZBIzEQqDI5ztPHQ1pW/iT4nRX0dl4F+FejeHdPbZuv1t4ozGGAJG6 TLFgM/w9RXlWv+LfHEH7S5+1eNYDaWlpbmS2XUkWSWY26ln8pDz8x4JA45Fc9TkatFWtrv8A5HbG UqPLJyb1tt39dTR/ae/Zu8L+CPN8XeCbCaDSoIVuL6ySVnYM0nlqsIOSASeRnjtxXkGlfDXxRImm aja6P/Z2jXWny3NxeXDhWgOZVUbvX5FYgc4NfcHjh/E+ueDIZPD62Fzq9zZWxRtRQNCMyks7DuQo JHuBXjXxE0JtA0n/AIS/xZqs2rXuk6LLBNbodkMrMH8xgnQEq2wegFKlUineyu/6/pmuLwSd56pW 16L+vI+WPG+k2Vp8Pb7S7G6MweyRDqTKQ96zEsMZ5wCR+deFaD4WsPFGmzWrSyy3EYDH93nKnP65 x+de/alo3iX4hRDWbu2i0/R9qLp8YACENHGx2Dq21twJ6cY4rsvhb8GtG8D6ff6+6Rsvk/u570DO 0cl/QD/CrxWYQo07XvLyPJw2VVMRU5rWgfF2oeCbzwbM8N5YyRm4XdC8yYLIMHI9uRXNXtyY43XC 5+7z6Ht/SvoP4+eLdB8TeII9M09meW1d4zKEwpB2gLk9sKDXg/ieKO1LNZLGyyfeYLwCODg10Yap OraU1Zs+fxdCEMVKEHddCHwlolzr2sWlnDC8u5yZVK/IEGDy3bP+Feh/EOCxt9DgMcsaCYDy41YZ WPoFyOgxj9az/hSLdtI1KaOMmURPsYNgqxwOD2PQVa+IMxuNN0qGaWF1sgstwitgpkbFXHuVfP4V 5mIrynmEaa0UX+l/8kdeGajRm+r0PHpJjBM4S24OOCM4xRV+8W2e9nCqyKGzjPr1/DOaK99RTSZz cyWh3OiaraaDqtxaXkzI118kNxJy0XzYJIz29K+kNU8KeB/AvhWTXJviR4f8UapLBG/l2URDqjbO QrAfOuTxknjjGK5Twx+wp8WfFFvqep65dWNtNpyh47G2uUubm5PUqhBEecYPLc54q/Z/s2aK1q+r eJ/F2t6ZawMsT2Q0CVrtZOVaNuSoYMCOMjkV5uIp05w51PfdrX+vkbUcJiaN06au/wCbS3p/wTzW 9vrnVr9rs61DYyac+ILlZGBMjEtkNnGMnBx3Fe+/DX9qDxbZ61omgeLSbK63rFPqUzhre5hXGNxA +9jPzD2ziqXh/wCH3wu8KMx0z4d6rqe5gy3HifVILKNschxCcE89tp4rsbbQvhl4T0QaH4s0ZBPd h7lrO3s5XVVdiV2STBCRgjBH4Vz06kI0+SEXLtp/w/U3w+BrUpc6qqP32/G1/ke5694ksfE6Wer2 xUxGMqhVwyuucq6n+6QwIrhfFXjrw54ctfMudTgFzcyCCCMYdmcnAyo6Adya4zwBa/CCd4rK8h1m KzhctaifUGMSE9mVMbR0xyRXqR1D4d+EvJGiaPoUJn3FLpWiIO04OXGWJBXH1rCpWlSVnB/1959D h19YXM5xXfd/hoZ91dyzxlfCdpqmoznEMM9tFkLLtGH35Cgbucg1H4m8J+LtU1DSFk1qPdYXMj30 moThXkZlC+UoUueCCSc969Y+GOk6r8StWmsX1SKz097GVoLq0KtIsw27WAJIZcE8EV5L8YvhH8Tf AV61x4pvLzVdKL4i1OGRvIOc4DquPLbrwRj0Jq8NCtX3aj+LLxSp0Y80U53+S/zCy8J2PhfWNR1z WfiPFaS6jFFE8EJUlEjGFCeYXb8cZ+lVLO9+F2g6RJ4Z0zRdW1qxM32gwzb5I5pGO4nEhAPPPSl+ A114Z8PfEjSte16a1js7fzFlDxhsh42XkY5+8OtfSevfEP4M+BtI1Sbwbb6MdU2yfY/sNgHHmEfK XYgZGeoB6dKuWDjF8tScpfgKhiVOHPBRh8rv8X+h8/6f4x8Q31i7+GPBkWnWaI6R3IBcqyAfKNgA BGV4zwDXSao3xT8WaadH8VeLBb22oSCXZb7RHKuVwgcZIAIB5IweDivGvhzqHjHwLcahqC6lDKNW uBLeWE8Ie2mAYsSVP3W5PIwcH8uxuPF3jbUdWlbRrwwQ3odVttNtz5nWMqzZ3fvVCsocdmatPqvs 5ONGK9TCGNdWC9u5N9tF+Vi2+g2eiahqdx8RbeSx8PwbJYNUW4eZYn3Y2yKw4B3L93J+YHnBFatz c/DPQ7e0Nxq2nmW+KTW99aymWUq8mEdkGCEy2C2ARg5U4qlY/A74n+N2l/tDw5q93a3ClA+qSeXG o3792GI53ckgc/SuoT9n/SNJgij8a/EDw7pAhBPkwkXE0Y6nAGMdM+nWqnTf2pW9Co8+rhTVvP8A pGN9u8P+O7hoLXwebp7WKOWG/lSOxUksdxXeD5bDYj5TGcjCqRXo/wDw0T4p1bRbjwxrmmW63Yge 0uLxULB1II3LghS2D2784FctHdfALwnp8F/qEniLXJWZ4lR5Ft4i6K7FQBhjwjHgHpXV6X4v1Maj Fp/gP4SafpqttY3z2huWVCgfdvfbnGQOM81jyJKyb1Omm25Jyab8v6/U3f2b9V1DwL4U0vwANDvr /R9PjlX+05VYSFHkeTc3G3jcR16CvTvE15c39jfaZc6FYHSbmJ4JptVu1jhmiYYOUAJwQT1IrxB7 z4vXrrc+PvF+n6ZZmDedPS9WN3Y7cIBGADkhhg56ivj746+JviTrPjt7SHX74WP2eJpHknwFO7Lf Men8PAPetIcz0uZ4nFQw8FJQfax9S6f8N/hT8JNNs9K1XxVcX9nctLLZx6UiCMEOi+WGZiDjegzn JJq5F4v8Iw3GpW3g/wCEU2qX2lKxZ9UkknLyAHCKPuFiQBw3eoNPu54PC/hK10X4f/8ACQ3lxbTi G4ezM4tPnhDE9lycNyRny++K6N/C/wAdNcXWFv7vT/DmnlCLKdpUiXcM7XdFG4KODjdnioUm/efU 6EnZKCsvJeXdlS51z48ahZWclt/ZHhK0e5aO6jbyrXyogV2lSoYkkbj94Y4rkH0bQp9ce+8T/FS9 1HN/I0dhbI0+QMDDO2QdxUtxjh/xrd1Pwn8ONNgtb/x98YGvrmzuXmmOlLvErHayoznfgAJj7wzk 1Fc698KPDGuzv4a+FN54h1oXbg3VwTJhygbI2hgBtCj+EZHr1d0yJR6yf3u/4IxprnwWkUCaH4Av vELG5ujGty7T7ZywEhCJuAAyQASAMcdK6gaT8ZtU0+3h8P8AhOw8P2UtpG5LRx2v2ZwSVjIO5uCF zjgc+mKu6z4v+NF5bpY+CtE0bRPMupY96xqoMQjgIcDDsTvkmHRT8nvmqep+FfE8/wBuvvGvxBn8 mfS5IDbTzYVWIw8gDNkAZPROMVm5q2ptGl0V/wAkLqnw/il1hrvxl8YoWgDI/wBgts3UhYKu4Hk9 SD0UcGvlb4u6Bp+nftLa3d6dNJL59xaRxwlCGkSO3i4UAcHb1FfS9vp3wv8ACtzeX0dxc6nfW8cF 68cIkmO2crHGVBIADcdF9TVe+8LeGtX+OambTAhfU5ILmYZ3u/2DcpDe3y8dDg1Eq/KvkTVwca0V HRarrc6nUPFVqPAttplprV9pN2+mRWsdxHB5k0DLuywByCcHgnPWuE119c16yg0XS/Dt9qEAgWJ7 zUF+SQAAF5M43MSMntntivWdU0a98NWbzyaY+o2cYz5tqmZlH+1H3wO6/lWVBrGna/ZSppWob4V+ RxExV1PXBH8Jrj5qlrXPXdOntI81t/BdhpUMd14mniu5I02pAkQKx45AAAzgenArsvhxq3hi/W9s 9c8O2Eu12jiSQrIzxYxny2ymDz0wcVC3hzw9aTyXV/eXTl+iyMmUP+zxk8Z7muQ13SvDqTkabdXK LCoMbuRjfjG4HOQemeOcVxunVi+fqac9NabIi+KX7DPwm+Jxl1LwDqP/AAiepMTI8VrHut3Y8/PC SCoPqpA9q+LPjB+yb8SvheLq01nw9cahp8RMy6ppcLzW+w5zuOMqR7gY4r7s0z4l3ej2X9nu8Vy+ QFuHXayHAHBBHcda1IfjXq+nWLPqOmjVQVOEVxG7e24jBOOmevHNethswqxS9ov69f8AM8LMMpwN e7h7r7pfofl3YXNv/ZDx6OrRuirbor4GSDjJxjPIH51meNrq1jS8tZrb96VBhO3hygIJz03ZJ4Ga +3PifoHwC+Mul3fifwnpWn6Fr0MhS8YYs7hWzgiSP7r9OoBNfIHxP+FfiS31KXTbSUzJa4InyVQg D05wQT/OmpUo4jnk+Vdb6duvXY+Vr5fXw6ShaUH1X6o8nv7aWYxXttC0xuEBc4P3h1/rRXoXhD4V y3cVx/wkfiTUdOK7TCNPgWZXzuzu3OmMYGOvXtRXoPM8JH3ef8/8iIYWpKPNY/WrwJoVjoDXdvZS OTcMssgdvvOAFBx0zgAduleH/tE/DP4havrC2dtLc2uja5qEaDVbaViLXfIoKyKMFPTng+vavTvi pLrPwx1Ky8Q6FpDR6FAjJcTJKZIH3YwskYGY8EYVskc9uldX4E+KegeNbEC0uA0m397ayY3oPbP3 l/zxXwON4oxGRYzmzCk3hJWtVjryS686107SXoz7yeX0cdT9jCXLUXTa68j5Xtf2fvEXwx8UXeh6 j4Qm1VJLciz1IL59vdfNgksATG4HIBHBIzkc1yeveNF+I3imLR/EGlazqHiXw7BLYrCHij8qGLGX lfa3935jgABc55xX1l8d9Qu00TTWtJJPmuHXCE85Q9h9K5b4K6T+zxplzLr+n6paXHxRv45Dcxvd yGcRn5JUEfCAAdRgtwSTxX3GFzTD4mmsTTkpKSumndNevY+cr5W6dT6vF8sb6p/l5vscDqHhbwBq sOkXvhWW7m1dIVF6NGEksBOzBIkC7Qc5GQfWsb/hXmh3dhqWmeHpNPt9W8PzRtLBf3chMcb/AMSs obBHmZ4APOcg1fufEmtXTtaR3EpVGKBFzgYOOBUnhvwJcwXeq+ILLSNQbVNbjWG6lnnYQ7FK7QsZ wB90c8msMRjcLhIc2KrKEV/NJK/32NIYepWl+6pXfkv+H1Oo+BevXPw78bppcXimS6uZ7N55Ex+6 YqACELDcVGe+K9k0X49XF18QvGek6xo82saXHZ6fINOhKuwMgKyMqPwcgZ255x6mvk3xLez/AA9+ KXhiLWWjhkvoJ0R9xIGRgA446jqfWrmjeM9Qg+KPiifS54rW5m0mwaCW5GYnYOwKnkdeB68itcBO hi6CxWGmpQlqmndb20/EVXEVMPP2FRWcXZrrtc+mviN+y1oWtL/b/wAK9Rt9Nd8STaZcuREN3JKH koQD93kfSuW/4Z20Xwvpya98QvHrx2PmLEV022MpZjnChj3JHXFdj4M1keJvDNxDrGqx6ZcNZTF+ WZA7W0qsNw5wAWbOOQlN1G68K6F8AfCkdzZxeMtNgktYbRwsmy5fcwjlxhmIB55z61s61S/Lc7fq +HknV5el/wCkjj7XxJ8A9F1M6R4f8Bap4kv0mMBbUZ9yrICBhkTdjnHBA610mheM/jBdSPpvhDwF p+iWCXcsP2uK0ihDIH+8jNncAMgHaM7KzdG1P4y6rei18IfDCHSbQXTq92LZIdwJGZA8hO4HJ525 O2p7j4Y+NS/2nx/8WtK0XTor2SSO3lud7vFuyVKllXccP90HrSb/AJmTCM7aJ29FFEes2viq+vWT xx8XbWGCW6LLbpOZ5FiUv8rxqcBmyo4XjB61gQN8H9IudUIk1vxHK9vcvfWsjiOFIizsyiPhgOWU YBOMDNbz+H/2fvDi3Wo3msaz4jf7bFMYoSYYldzK0YUfJlf3cnc5x3qx4c+KOnT6wkHw2+CtvaJc zyLNqdxas5Db3DszYXqy5+8QS49axduhXKrq7V/mzJ8Pa14yk0i1T4bfCCAMtzcQvKbPkyDeTMXk 2DDOoG7nO/PTmuxuvAPxWvbm2vPFPjSx0fS41CypPdeUzpsG5QI9qj5/UngVRhvPjt4h1+7gm12K w0C1vLmCKOzysjxLIyxnMajGRgnLetVI/AGl2Gm2Ft4x8dte3xvnhllluAGknkiijVMLvbP7stgn PzGlJpG0IO2zt56L8BfCHw2+GdjrdvBL8S9R8TawYiqx2yBbdjtBDEgEH7nXcep9a+KfjF4VXWfi ak93eoD5EUUcBdnaRgM4CqCScHP0Br7V8DX/AMLvD+rWEngnTLi9u7q7n0kXiws3ltCiBy8jlmKg SIM8ZIrwD4u6fb6l4y8GXfhnwJfhr7TIdSktUhkkVWEtxEDIxPBKndnvgdqqFSSk35ehxY/DRqUI rTR9Nex73pFx8U28L+ENK8CXqadbz2076m+w78K0aptwpYE5Y8EVaHgSZY9ePjz4gS3cmp2tw8az 3AVreAFmJUZd/lXKk4/g6DpVm/l1XV7/AEe+1LxFe2y2WpXga1s8bZ4S5EQkGQoVUCkdepqC20Lw fpC2IsrCPUZLCwl0z7RfTPMzQSM5kBVcLlvMYHPY+1ccsTBLzPXp4Vt3/N+S6GVBYfCHw5a3VjY6 Rc67JDawa6YRA1x5od1hiZWkLfMd68BegJro5NU8VteaydM8HWVjFDqUAS8v5tsdxG4JmYKSFGzC KOOTTZ/FIijMOl2KW8SIIwIVEaog+6uUyQB2BPFc9d+LXJW1/tONWxykA8x+f9rLfriueWMv0+9n RHDKOif3L/M2rr/hKbia2m1Dxw6JZa1Pdra6XblY7i1+UQwOx2rxtJYjP3qybfwfo1rZ2dqNLudU mtbCTT2uNVvGJlilkZ5A6qAMkkjPOBgVk3t232mCeaW6upmB2gyk4xzyi5q/ZX/iW4ml/tmzlSxW EuJwdrHGMhlOSO/Ix9Kz+tOT5U0jRYeMfekr/j/mdQt6lqsn2SSCBTEkTJYQhGCpgKvmAZIAAA5G B6Vif25bRyfabbaLqKfzR5koldGK7d3ybiGOWHJHB61iax4Os/ipAvgr+2rnTFukZoLyBt8kTqNw Iz1BxgjPIJ6V84z/AA4+NPwE8W3HiiO2m8U+GJQYby40/c+9AzffhI3owKsQ2Cox1INWsM5Ozlr2 JniJ2UoR90+t5fi141tp4rGDw/FeQOGke73KrIMYC+Xv5YnFcVqmveI/EnilobIy6PNZTK98ltCq yXG4E7QwBQ9snJPGOOtcfD4w8Oy6ZaeK38WWNrptwAY7m4uRGYyOoK9QwOQR2IrGvf2gfDVg6Dw2 moeIJo+skETRxseTuMz4Jz64NPkfRHPUxcNpyt/XZanpmuPKBmJZNxXdmTPU54LH9cGuYTS7i6kN x55jVFJlRySw/wCBHjr/AJFfPniD41ePfDNpeaBpGpaW93K95qsDSTfb7qNSBKI2YnDMSxUHGcAD tWDD4J+N3xe+G0viHxLq2rRa7NrcUEFlfSNaxfZCoLyBOAFBPpniuiOHduaUkl3/AK/zPNlj+d8t ODb/AA/r5HuWueOPAeiM0dz4jtJrqNtptIM3UrHPA2Rg45HcivNPF37Ss2h6OdU0fwfdX9nd3T2c P2qYRL5y/eGwZY429yK7/wAM/AOKwvZ9Q02+W3Fw0BEcdmuIvLUg/MeuSc57V6B4c+FHhLQLSC1u bSxlkgme6EtwqySec5JeQZ6Elj0AwOKxWIoxauub/hv67nR9UxVRfEo+n9f5HznpngL4kfFG/k8W 24s9ClvIUjnaGJokJBDZA5LkEAEkc4HNdhr/AMJdYkuZ5vEN5EbAoJZrtI1UxkDLEgkbifXoPWvd ptf8D+G4ZnaWVJoMnzoRlQQckbSQG69BXHax8U9O1uOaK3EBimTaIJ4Vyy56uCMEH09+ta1ILExV 42RzypYejCVOcuZs8C0/wzYIJTpuuC4hL8SQx71P0I6/kKK930HXvDOlWrWtj4S06zOQ8sdky2q5 POSmMZ78E9aK4J5TScm+T/yb/gHJToUlFL2tv+3X/mZHjX4q/Eu/sG0K98RXNzpKTNH5qR+RLcKc jZNtY5wD9w56d6T4XaDr2oatb3mm+EtfvYoULp/ZO5H3diJNjKAD1Bx9RzXvsfxa/Ze8JiQ+HNLs 9bvoYgZGsrE3THG8ZMkxxw0cgzk4K1g6h+2bq2saJc3Xw68ArvgQfZob6RiZdywuu1ECgDbcDv1Q 17tTDQqQdOUNHoONSnCanKrd+Wp1dx/b3h3wHp2q/EnT5LS+e8+zOZBERypKEhHJ3EDngc9q+Xfg nY2usftR6lq+lJcXj6Uus3My28BcQwGZvmOMk/6wYwD1xiurl8Y/tM/GLWbLSPFen2sOkSzFxaxR xxJBIvmgSN1cjaoHXq9b3wQ+E+s/Ar4kx/Gyz8T6bqtprt1caZqNojK62wmAl2hkLfMCi9emRwc4 r8+wXBWDwOZY2GHj7OjXpcvuvROT15d7Ozv2T2PWr5rWxdOhK1/Zyvro9Pz/ADF1v4v/AA38Malc WGg6e2oMm1jNbwCKPcwyVy2GyDweOorldR/aD1uaKVNI0m1tQ2PmfMjgZz7D9K+j/iB8E/hb8f47 vxF8PL+00LxiiCa7h2gJPnobiIevaVefXPSvj7xf4K8S+AfEE/hrxhoc+mX8RJVWGY5k/vxOPldf cfjg8V6WX+HOQYep9Y5HUm76zk5OzVno3Z3Ttsc2Oz3NHHljO0P7qS/4P4mRqvxBXxjqcqeJJXee AAJLcJsVR6J044PrSanoekeIbDUN+pfZrrUYhAk8SARJGCGGR6hgOQO/PrXI618NtLu9Sm1GzuXt prnAmwNwfGefXPOPSqNxq3iXwdCsAhhmtFcKjzSBiB2HGMfrX3uDwdHD0oUMIlFR2SSSXp0Pka+K qylKeJXNfrufS3wz+J1v4A8PWvh7xVp82pz3MC2cU6SlMMLeUM/fdldw9iRnpXe6J8e2034B6Bq3 wr8NNDPFstbK11CQTrFHudSS7beRxyRgZ6GvAvBesaLeW0FxrunC9tyAVQSkNAx6vGQcbsHbk9Rk cV1t7M/hf4e3Fl4Jt43061hla1ntI1U2j7gVWSNiSrncTu+6SDyKHGnKXvLW/wAj1KOLqqHuS0Sf qtj1jRbj48fEG0urvxF8QY7OzuIJY40sJDiFm3hXbywicBkOCeqnnvUmt+Avhw2o67q3i3xWHhiv Ddywi8IMSuvlAMsXOGMh4LdWU9hXhl9HH4h1XUdQ1PxrrUlnqsEEcdhb/u1ttvlscOe7MhzgdGNd t4Y1zQtFvbzUG8P2l9NqQiS7lv2M5lWLZ5YbPAx5aH6jNY1IqDvF/cjrw9XnXLNfNu/foeqf8JF4 L0qHXtP8KeEb3Wb/AEBLN5YoLYI1wxDeUquQzNtEjnGeNx6ZrX1Of4oXVtqcWgaRo+gGG6gjsru/ cOWg2MZnO4sQVIQDgdDWXY/FzRL+HZFq1tbSgBpIEYKVPT+Hr6Vw/wAQfiD4nmZtP0OymuNPdGe/ uhCQYYAMt1+9uBIyucdxXiYjGqnutfN+h7tGjGXwyv6L1+f/AAx2T6avi59asdZ8fa2LRNZjv7KO 3Aizar5hQIST+6cydcA/uxxzWjDZ/DvRJbiaz0ZbuafVn1tjcSvcFbpsjeo6LgNgDoK8N0/4gzeI 9Yu77w9DNcwsiw+bc7QkSjspYAkdTjBAycVmax4u1CCWaHU/EZZcgLFao0h6f3uAPwrJ16sVySlZ /wBdioul8cY/N6/me/XvxJ0+wiOnwrBZwtu/dwhU69flTnn3rkLz4m2AZxBD5zgY3PkAAfXOa8Mk 8aKhdI7NxNj5XkcZ/Ffy9a57xr8UpPA2nwzXcVrNcyIJYoyGBdM8lXI2lh6fWsYRq1p8lNNsKuLp wjz1JWSPpj/hZzSRILDRI3yvzPLLkZ79B0/GsLXPHurR27zXet6bp8MXQpEv7v6ls/0r428U/Hvx H4qNrpvgy61VL2W4CrbeWsn2gE8AAcg9sc5rjfEnxM8b61HfaPqs7wRSN5dxYNkJE4bJwh5Ug/lX qUMkxU7ObUfzPJr8RYeCappy89kfeOlXlvr12iXviq2ui6biJbgHaMZzgnA/Ku6Hhu2gjBghJUc7 g25XP4cY/Cvhf4X+PtCt/Ck3gLx9plxFo+pFprDW9PxHfafKB8xJODInTKsSCOmDyPR/g/8AHQ/D 2zvdPv78XGiwXe1L3ZI6OpyA3PKg8EZ5zkdK58TllSg+Ze/5W/LX8Dow+eYeokqnuJ9b9f8ALzuf UF59vksDZRWHEvG44x+HvWZc6RqmoCeKYTCRR8kqyfMG/A8DNcz4X+LPiXxknm6VonnIspK3EkRR Hj7EHhefqT9a6S/8V6H4fUXGp6lYWl3MG86C2dnf64BPOO+Kw9rUW0T0oQoVVzKTaJbC41rQ5re5 drmO5h+QTW6jcwIwWbOAeP09a7XRvHsP2mKHxDZZiOc3sQ2ODxglenTIOO2a47W5PGdj4VHijSfC b3ERia4b7TNtmjiCk7zGeegzjOfauW074ow63bC8j0C4Nv5e5Z5CFjkP90MRjJPasJ06sn7RKx1Q q06Vqcn6Hjv7SWjXXiXx3q2n+FvBt9LHdao1zZT21j+5kXC5IxgDJLklsZqaz+DXjbxH4UsvDl6i 6AkUcMNxcGYPNJGgGQEUAKSRk5Y128vx0ihmNrJplvZTCRozCSzsAOxOAM85PYDvWR4h+JXiu+nL 6SbS8t0I2Qx/uZHPc4JIcDn7pFdlKniJW93zu3f/AIB4VSpgVOpJycnLpt/wSxonwG8CeCL+58Xz Sf2jqWWe389spGT0VF5xzgZ5NSav408U2et21lZiwigwHu7hrdpVj9hk5ycgZYDHpXBnxvpWtX0t rqEFxYXCj94fMME8Zzgk/wAJyegxnnrTXh8Sq6Xmk+dqYiJdUQeXdxoBwRH1z6kZ+lbyy6U5J15v T5L09DnhncaMXDB01Z3vpd69fU9TvfiJeSwLDpfiOHzJsgyfZgyRe5UEMFHrzivMfFPivxNb2clx e2xu7WUlTf2qiaMDsSeoJ9Dtx71TbxFpWrwPFNY4vVbAkgxFIXHIV0IxIB6kA/XFN0m81yznfULb NwYuJJYS3m+5cclwPTBWu+lhqdPVL+v6/wCGPJr4+df3XJ/5f1/THxajJdQR3UV/IJcASpv8yAr0 AI+8D6gZFS3U1vIhj1iyCRR/6ucMGhc7f7w4UD0zn26VFcx6BrwRo2axniw0lxagBkGOskecbj6I d2D0zWVrOty+GN7ale2kmlzBUW4s3IEpPKoYmHDEDJ3AnjrWlkjklUnHd3X9dDprE6Tb2ca2mv6n ZgkkxiAzKcnIIKkMAc/xDP4dCvItU8awzXxm02R4baaJJV+xhlUsR8wOc8j8vSivKq5nThNx5W/u LjWbXT8T6v0c/syeEruXTNI8St4gvx5kzWug2clySBLI7AyvtTAd26+tV5v2iPD1pts/h98HEnIX EcurXBlPCKQTDCMdABgtXPLrv7MXgW6uL2LXbvXbyaSR5Ro1izq5eXe376UqhBY54yKoQ/tEQXdk R8L/AIJW21Yg9vLrVw8zOPK3KfJiCqOm3qeTXsypuWyb9dDaOJUdOeMf8Kv/AJ/mjqH8dftR+OdQ g0nSpItA0u5lMNwmnWSWqpGd4zkZkPQfxd66b4HQ3Xwb8LX1ve6/p3i/wdqmrMdQ0qExyyWNw6rm RJFyUICrkMSD8vQmuAufGn7R/i63trK48Q3Hh5Li+MTQ2EMdnAtvudcqIx5jN904z3610nwNay+D nhfVNXtPE0Pi3wvrGrrBq+ljEkUMzqAzo+0bJFUckEgjAYdK8ydlWbXRa21+Xr52O7Dz5pJ+911k 9fkr7eR67q3geG5z8Sfg/wCIpmltl2rdWzFbmzbGRHPH1K9uQcj1HFdfY+LvBnxn8NQ+A/jrolnB fyLthvkbYhlxjzI5BzC+fwPQ+lcPpmmC3kHxJ+COvTTWdvxeWJOJoR3imiP3kPbt3Ug8VtWtx4Q+ L8dxZ29pDoPiQkrJYSnFvesM8xE/df8A2Tz9RXRGbVmmdvKn6v7meKfGv9mPxf8ACSSTWLF5df8A C/3v7QSP97aAngXCDoP+mi/Ke+3pXkEtnZXCKs9vDJtO5Syg4+lfZPgXx/43+Et3d+F/G6zat4Zg jEcME67ru3ywUqCeHTBJ54wP4elZXxO/Zd8L/EOyk+IHwE1O1hllJa60cOFt5G6ssf8Azwl/2D8h /wBnqe2FVS0ejPNr4G+tNa9v8j5Sj22qqdojXoMDj9OlS2XjI6ZLPc6NLJIbZR9pMYyiKTj94T8o UnjDcGp7qK50HUrrQ9S0e7tL6yfy57e9Vkkjb3TjHsckEdK9cgs/FHwV8PXfia78L2Gq+GvEukRf a7qFC7WoddwDR7TkguMZyGxgc1el7NXOOjQlKT1slv5Hld5qB8Y28EHgG2vdP1p5hFcwWlg1zZAd S4cjEPuuSOeMVPo/wy1/WPCeoahq/jLyNZ0/UTaT2WoI8UKQ4TEq+Xy+S5wAcEDqKwPiL+0tqnga aHS9Z0LU/wDTIBNaSKPKinX1GQMe4xkV61+zU2n/ABW+HWp3/jaGeF9Z1Ay6XLLLu8hQgQJG/wDD ypO04ySeKzrydGn7SS0+86sMoVq3sU7yt5pHk3jVB8NriHUfDqT3sEtqTcGOJmG8EcxoWLbORyc4 9TX0D8CviT8N/Emj22m6fqbx620WLhL58SkjkqjYClRnhRWDfeCfA+hDz9f1MzlUXPnzBflHIXaD njjj1r5317wtrd5421jVPD5t9GspLtpNJlIaNZ4xjG7HQHHX8/WvFx+XUcfFx1jJden3dT0cFmeI yuoqqtKL05eqXe/Q+x/iF8H/AAx44smghafS70EtHd2LeWQ3qy9G/EGvkr4l/Df4xfDcXBvXi1HS Sx8nVbK03FAe8qfw4HOenHauv+H/AO0d4q8C3b+GPiO0nkww74hMTucDPMb87geg5IPYirfxC/ap fXVl8N+ENPltY5YSZrq42xv90kou44zXnYbB5jh6kcPOnzx6Pp9+69NV5M9XMsdk+Y4Z1pTdOflp K/ay0f8AWqPB7izullt9UuryTV7CPDSSpcHypDgfe2gMhyfxx2617DDpngj4t/DCx8Pastva6jB5 kUZhDZtSG+VuSTtOT3OccnmvFVg8X+I9eTUtBWDTpSrzXRt0x5yYGSY8YJz6LzmvVvhx4I8DaxbX nii41ea71Cy2mOyEv2SLzBgEA4yckdwFyccV7csHUglPm5WtVbo/y/rY+QwUmq01F80Jae9ovv3/ AD9XueG/DbQJLL4xWvhOVYHlS4kt4ZpzhCxDIOOeD6H69q7rxb+zbrXg3xxJZ+JtaRYbor5cGnwb Zoy3GX3fdTIJyCMgdq958N+GfBekWq2mnaHb6B4m3+aSbVJJSjfdG9+XB5+ZCAPeveX8B/DT4qeG 7bStZQQ6lZwiJNQtptlzHznliORkn5XBHPFdksRVnVcou14pfj+B6WEy+h7H2VVptSb/AA28z4z0 n4U+D/Dk06nXp7ied541NlF5kkUEgwYVaRmGNuQT8zcnmvV/gX8EPh7quoTXeh+CreLS9NkU3uoa tKb10YfMqRxN8gfnP3ePfitr4h/DrxV8DLq08ZaB4BufGtlptrJ9peych0lONsz2/LDau4/LkZOe K+cda/ad8V+LYr7SfCumQaNaXt0l7dQQuYC86AAOQOewz646VxVIYxJyez3af5/8EvFYrLsClzwb ktk1+T2/E+3tY+G2hWWrwaj4t+JTR+HIV3tpk8iQA8AqPkI+XHUbcmua8bftF/s+aDHBJqVla6te aW/mWyWtrHiMofkwT0H6V8R3k3i3xo0d14r8Z3Vw56xrIcD6mox4c0tpdtrYiaZv4ss+fw5rzpb7 /cjjr8S4qUf9mpKKe13d/cv8z37xN+3N4g8RNe2HhjwnDHaaoDbyiVS5aPBUrnsCCcn3rN8G+Pbm OxWHQtSTTHcENoupSl7cjt5M5yUPoHDDPcV5jp3g6+jKvPNDaRYzhuuPYD/61aaWnh7Rzi71BpWH zDzDtAPso5rOV+hGGq5jOXtcVL77K3pbX77rujauNEu7Ga7tbISQ6ldytc/Zr1VS4Yk5Pltnyp0P sRwfwqxpVmlxdGG0URTgIJY1iZAJGwDG0RO5AOeUwD6VhS/Emxs7JbBtNXVNPLgvaTJujHfIzyp4 +8CDWjB4n8Pa5NAmiT3hdVBjttRmC3EDdxb3QAJHosn5mtKdarT1Wg6vsXNJPmv/AFp/wN+yRoXe q6Tf2/n6xaJdRLlILkgho8YGd45QDHCtz+lY0Nnr1nqkf9lXNzdR7/MgjkG2VV65QjA3HjBJH48U 6601r/UoYReXHmxtGt4NvlXvlg874Sdk3DH5lIz71oFcaWx0u6lngtpMJI0f7vcxJJmh3b0YcAHO Dn616dHGwlaMtPyOGVKpJu+qX3+f9dAg1LS9fnaz8RWL/aolCzXMkhiuoR/d8w/609MhhjsDzTV0 vVNPcXfhzUl1eNJNoBJt7yAnouBwB7ocVmeIfFHhvStIUeLYJNQmupBtaFsvEN6FmEowRlSwA6Dt uqz4F+I/hC78FapoWl6Bc/2hBdrPHfGc+ZFDtIK9gQcA/MSc59anHY2OGoSrJXS+7+vuPVy3LPrV dU67srXv17+n5+hdkaC7lMl8Ybm7ibcZYgAUf7pBK4DD3Iz714J4n8Na7a6t9qvZWlh+1eUFEhYR dSFHbhfTpXuv263W3WCeylWzXKQSSHC4bJ2nGOcE8+p61x94kV7ObGaKK4KwK8xEB2RuCSNzA+hX Pf5u4r5GhxDiJV5Skvd7dl5W09fkfX4nJ8GsPChGOq69b93f8DyTXPFtl4WFtBpskk3nKxcbhhMH AA/WiuU1/wAI67a6rJHctDJuUSKqZPlgknaQen9etFfU0MuwU6alO0m+p+e1KNeE3Bpq3RI9i+Ck Ud14jtoLqNZo8A7JBuXO5Oxr7Y+FOnafNqcUM1hbyRrb5CtEpAI9sUUV7mY7GeTfEef/ABzvbyDU taihu5o0iLhFWQgLx2Haur+HxNra6LptqfJtDcxubeP5Yy3lLztHGeTz7miivhMJ8Vb/ABL8z3f+ X6/rqWfg3c3Fj+0nZWNlPJb20lzPC8MTFEZN/wB0qOCvt0rrvipFFa/EGT7LEkP74N+7ULyLhADx 3A4HtRRX1FT4jSj/AAJf4merfEz/AEr4a+HtQuf3t1JaoXnf5pG+71Y8nqa4D9m25uLb41alYW88 kVtPDI0sKMVjchVILKOCcknmiirW39eRtX/iQ/roxn7ftlZRReDNTitIEvJri4gkuFjAleMICELd SoPIHTNd1o7N/wAKcsW3HP8AYUXOef8AUiiit6v2PmTh/wDeJ+iPzy/bUVZbzw5PKoeTzZk3sMtj 5eM+lQ/BOeaHw8beKZ0i+RtisQuQMg49aKK9J/7qj5ir/vz/AK6HV6gzOk7OxYnJJJzmvQ/2kQI7 X4PrGNgbRWyF4BxDb4/maKK83/l+vn+R1L/dav8A27+Z498WLa3n+HUlxNBHJLa6jAkDsoLRBlfc FP8ACDgZx1xXk/gi0tb68ia9torg+ei5lQPxvAxz2xxRRXbD+C/U5J/xF6I9V/Z/hhXWNeCxIAlw VXCj5Rv6D0Fen+MIYYvFPhqWOJEe90MvcsqgGZhcbQXP8RA457UUVL+J/M6qf8L7jW8UMz+AtUmd i0lpAJLdicmFiwBZD/CcdxXQ+FLu6hktZYbmWN5Li3R2VyCykHIJ7iiivOf8NerPVpfxvkj6e8NS SSaXl3ZiJZOpz/Ga/PH9vzSdL0f412cuk6ba2T3WmpNO1tCsRlfcRucqBub3PNFFehht5ejIzz/c vmjyLTJZPKsz5jZcru5+99a9tSCCDRofIhSPMQzsUDP5UUV8zV/U8zh/7RzeqO6klWI5HQ/SuIvP nuGLcnaevPeiiudbo68z2RQuP+PO1buS+T6/KKbI7gQuHbcM4OeR0ooroWx82/ifyPQWZp/hXeX0 zGS5tHh+zzMcvF838DdV/Cty4kkHh7RtSDsLuW02vcZ/eMCDkFupFFFcj+D5/wCR9LQ/3lekDj0j jksLvzI1bLAHIzkVhqq2uv2draqIYZNQUPHGNqtgLjIHBxRRWVT4Jeq/Q+jrf75E6DxBc3EnxM8N WklxI0DQ3EjRM5KFgr/MR0z710urwxRXoeKJEaS9hLlVALfJ39egoor4ur8MP8L/APSz3qX8Wr/i X/pJ4H4idxreoEOwJvJsnP8AtUUUV95Q/hR9EfG1f4j9T//ZCmVuZHN0cmVhbQplbmRvYmoKMTA1 IDAgb2JqCjM1OTE4CmVuZG9iagoxMDYgMCBvYmoKPDwgL1R5cGUgL0V4dEdTdGF0ZSAvY2EgMSA+ PgplbmRvYmoKMTA3IDAgb2JqCjw8IC9UeXBlIC9FeHRHU3RhdGUgL2NhIDAuMzUgPj4KZW5kb2Jq CjMgMCBvYmoKPDwgL1R5cGUgL1BhZ2VzIC9NZWRpYUJveCBbMCAwIDU5NSA4NDJdIC9Db3VudCAz IC9LaWRzIFsgMiAwIFIgNTYgMCBSIDEwMCAwIFIKXSA+PgplbmRvYmoKMTA4IDAgb2JqCjw8IC9U eXBlIC9DYXRhbG9nIC9QYWdlcyAzIDAgUiAvVmVyc2lvbiAvMS40ID4+CmVuZG9iago1MSAwIG9i ago8PCAvTGVuZ3RoIDEwOSAwIFIgL1JhbmdlIFsgMCAxIDAgMSAwIDEgMCAxIF0gL0RvbWFpbiBb IDAgMSBdIC9GdW5jdGlvblR5cGUKNCAvRmlsdGVyIC9GbGF0ZURlY29kZSA+PgpzdHJlYW0KeAGr VjAAQxMFXUOFovycHIVaACklBLQKZW5kc3RyZWFtCmVuZG9iagoxMDkgMCBvYmoKMjMKZW5kb2Jq CjI3IDAgb2JqCjw8IC9TdWJ0eXBlIC9MaW5rIC9BIDExMCAwIFIgL1JlY3QgWzYxLjE4ODk4IDg5 IDE4My4xODkgOThdIC9UeXBlIC9Bbm5vdCAvQm9yZGVyClsgMCAwIDAgXSA+PgplbmRvYmoKMTEw IDAgb2JqCjw8IC9VUkkgMTExIDAgUiAvVHlwZSAvQWN0aW9uIC9TIC9VUkkgPj4KZW5kb2JqCjEx MSAwIG9iagoobWFpbHRvOkFuamEuS2Fzc2Vja2VydEBmdS1iZXJsaW4uZGUpCmVuZG9iagoyNiAw IG9iago8PCAvU3VidHlwZSAvTGluayAvQSAxMTIgMCBSIC9SZWN0IFs2MS4xODg5OCA4NCAxODMu MTg5IDg5XSAvVHlwZSAvQW5ub3QgL0JvcmRlcgpbIDAgMCAwIF0gPj4KZW5kb2JqCjExMiAwIG9i ago8PCAvVVJJIDExMSAwIFIgL1R5cGUgL0FjdGlvbiAvUyAvVVJJID4+CmVuZG9iagoyNSAwIG9i ago8PCAvU3VidHlwZSAvTGluayAvQSAxMTMgMCBSIC9SZWN0IFs1OC4xODg5OCAyMzcgMTQwLjE4 OSAyNjZdIC9UeXBlIC9Bbm5vdAovQm9yZGVyIFsgMCAwIDAgXSA+PgplbmRvYmoKMTEzIDAgb2Jq Cjw8IC9VUkkgMTE0IDAgUiAvVHlwZSAvQWN0aW9uIC9TIC9VUkkgPj4KZW5kb2JqCjExNCAwIG9i agooaHR0cDovL3d3dy5zZXFhbi5kZSkKZW5kb2JqCjI0IDAgb2JqCjw8IC9TdWJ0eXBlIC9MaW5r IC9BIDExNSAwIFIgL1JlY3QgWzU4LjE4ODk4IDIzMiAxNDAuMTg5IDIzN10gL1R5cGUgL0Fubm90 Ci9Cb3JkZXIgWyAwIDAgMCBdID4+CmVuZG9iagoxMTUgMCBvYmoKPDwgL1VSSSAxMTQgMCBSIC9U eXBlIC9BY3Rpb24gL1MgL1VSSSA+PgplbmRvYmoKMTE2IDAgb2JqCjw8IC9MZW5ndGggMTE3IDAg UiAvTGVuZ3RoMSA5OTc2IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4AdVaeVhUV5Y/ 5y21PKqKtSigBKos9q1AdlSqREBE3BDZRAREBZUdRRQiiSvEaBITtR1jm3TGto2xK4TYZu2onaTT mYyxt3R3krG7M+lMum0nk077pdF6zrnvAdGO3/T8Mf9M8RXv3bfce+7vbL9zb/V2b1oDBhgCHtyr 2xo7Qfno6IgnVm/utalt/BG1F63tXNemtvkgAKFt3cb+tWpb2gtg9bSsaWxW23CLjlktdEFtYwYd o1raereobe1OOl7b2LF64r7kR+0tbY1bJsaHD6lta29sW6M+H/MeHeM6O3p6J9o5dDzS2b1m4nms pvaGn7fYw/9zaHo4T4017SYSmU5mQgNoYREIwNE8NRAHdCK00T9U7tMzCV25nlW+s/6KVh29ADCa /Mchdrz4ysLv32yRI6VsbRM9q1eeZzfoHW2THAkgbaf78VL21B12l31mnoeIxPMQlDjmrkwTU8eS nEKiaSxOMJrEMYj75yFxbPvWAaF/rKdf6O4ZE7u7OoWxzqp2oXKsSoQBGDMafCT9mE6r0Wmenw+p 8NB5/vau8GDYnBAW4kpUP+pJWAjQrHRggvlQBYvlSDnt9nUAflwwiOvFQe4IXkIPnsVmrMNaLMcl uAjLsBAL0IWzcSZmYzo6MRHjMRajMRLD0YoWDEA/NKEBJdQhB+PwFdyAL+EL+ByuwzX4DD6FT+B3 cBU+gg/g1/A+XIHL8C5cggvwEpyHczAGo+CBM3ASnoZjcBAegYfgQRiGtdCkC9UcErcLl4Rjwg6h WXAKkYJVCBUCeJkP5QXuS+4Id4Ab5tLwfXyL5D6NT+NTeAKP4yE8iA/iHtyBg7gNu7ANW2hWTdhA M6ucmFkpltDcXJirzGtyVmw+JpoLB7Iyly9oDkz6K/AOSTsGT8EJOEpSPghNkAAw5msi/MckPeE/ Jgo8hx5Ieg756AJbsa2lsdnDRyvHZdUOp8NrdTr+XGPJtcyyeWB5tYdPsNprPDjX764LyUn+AZbc 5CS6mpx0ITnJU7TZg458D/h58OcecBRQq8Azf7OHs1E3c/M96PejYjpxFFJXdPRgA113FCzzRK9x bFHfn3xr8hX4n1+xFbUUJiclJtNMxOgC15//scjKlF3ef/zgN2CpIUySk1zs601OuudthsY3bkzB eSeY93zuzwS7t+ZujMnfkhacB/2S6ucQ99ecx9u7zhdC+Ivkufyq+uTzYE6y2YpaCdIGagQn0YUE O51ZSBCm0/JqR41txDYyv3lkQjJBVTTdWDNS4yQNLKtupf8V1XaPu8Y6dbqmpiaP+glh/dAr9PhI DfWwnkyF9UBH5ZLTSw+FJi2wefiYJdVLqz1DhVaPu7DGarfbijyvL6n2vF5IxlNDT4VNSUoSD7aG TMhsJZnDEuj+NLWXZdQHdVEzMsL6pBYXY/e8PjJiHaGZKFcc9vMIExfOg/IMH110Ht1Lqtktt8Nu pakXOewOO8lRU0h9hyctWFZdRJLYmSQR34AUCu+ANHJKUHrWRuJFKpDa/48gnf6/gdTxv4I0akrS uyCNJpmjGKQx94bU8T8AOoWw+x4ID6kID90D4dg7EKZkIQCkcw2Ul9ZDCX8NznIuKBVmQqRwAQqF C/gUHSvoe5C+deo1KGDPaE6DJMpwVvwCKjQH6ZgMZ4VxOKtphgptEJzlOfBoWui6H5zVnqbvbLp3 GSrEIxPHW/T8J9CniYZizTU4qpHAT3gESsRQ6BIsyrFEeANKuC/BJNwP6aIFerge2MW+2mvQw9pi pPo8vVPCfwFd/FWo5y+Ahe41C6dBo/kFvXsarMJ2KKNvJk1XzbvAsjE+Sm0b/Ogb+ZMuKx+OeIkA ImU4LeU4/cRVCXzobeNESz2YwBf8wB8CIBCCwAzBdNkCIRAKYWCFaRAOERBJY9lh+l3vTTYcEAXR EAOxxBDiKQskKjeSIBlSwEkZOA1mQDpk0AyyIJvuMQby/+uT+w/FzVOesBFKZdAMuykr/gfIWEpZ +OdcMeXln3LjfBn/GP+hIAgJwk5hVPix8IVoEgvFdvG8eENTrjmuBe10bbV2s/bfdRm6zbqLeoO+ VP9LKUByS5XSWek/fBJ8hnzeM3CGesMxw88NXxgjjPnGfcZfER9LJ9byrob+ka4tbr0WSfG8XgDn u34fvUv/ne+mpab72/2j7f72dP7orT9wR71rNZTQh0SSG6FEPsVF4jGygGC3yZdd80E9bmC2k5gG TmdqdJCJ02ZmzcaYzIx8TJ8RgVxkZseLW594Inv1zOW9uQ1zHxpY4e+a9a/m5CNZDTPrmXFSv2ex jp/NnSa5/N2ShUdJ2wKcxPpMTEWShZ/t7eIOEAlZpD5fevs6fkVyGCDA7aP35/U+2jbQTLwQHaRx TKfxs9jw+NW22pqhoZqcNTlv1A7eV1M7mNek9hF5+7oQLg4qY+o5PRhWTwzpcqXq0Y5CuNckf8n9 lzg43iUeYO9wUEjvDNI7gaQ/h9sKaIlAS5SvwRDhEPU+nHYTBEmbrJLEaRPSIIFkD+JM6Jieglxm RoCKR4CYEeOYbkJzUHD6jCxhsPLwxfa2i4eqqh6/1NZ+4UilvGlGw5w5vmkNjWnc2Jj8+bPLl59F 0wvn0ORZXvGc/PnY+Ws7z/S+8cEHhBs+RaoMF9erc+ANqO//eg7xSLiFy7twGz1AGFdQFOwi2W2Q 4U4KFzljJAL4IvihMcJsUPyew8gI1Os4LT0OEBnObQ2VFM3SVOIxMx+z8/lMJr7WP59n6JqDTKjV aO1C182PZz/ak7myIKWj8vSpmWWr9y7e/l5fVl5qZRNesM58es/szR27ixv6PDgvJiXJtu7SA3Un mkqGemmgg4SpleRyQp57BmCQgca2I0zHCGe0QZ+Ms4KDjHomjw4N8aJex2upEEJIjuf6KBoxG1GA NnGk9Fj/CDK6fMzMSCG+namekrwaElixRkXgCBSslQ8dL22VK4ufqpxTk5yzvjg5s3hFXOPCosfn ND278YmfNWZVOZcN4f1tRxsTZ8Zjdt7i1PnxmeVpV7MW2F2NGUkoxTu3PluWP9BgTTrGbAOhjubR R1BrINJtYZcA+UiNgZxMT/SWbwDRyIR1JZJ1RTOjFvq8Hvk1POW9TPMvGD+zlv8YyUGZd07amQ2S IFfFJS0bo3LMBkO4kStOSDNmzyaDY1AQVOFh3CAF0VgGkp+RG8yQ4GsDZLikkPllZacQLPkcqY0z B2m0ERwyTWpUOwwkwKYawmB8929OPfOrTVFb1lXUpff8cO/+13pTaqqKGnPlnjkLFhZX5eRWxedU JhZ3d5eUtuGmtPvur6rc0Z/Z+lJ65vCGWbsHFizYttPVviMnat1uLrJgS8+8pevWyQHulc72+jXr u9kcOSi4fU3xpWDKCk53NGCYHcMiAgwGLTrteiOnFbQCR/41ABZJxIEII11KYFFGUbeE2uisbA3z rclZ3elY+SgM7r15Uj59vTs6e+u/bC19+M3NO386XCwfbl7kXha9Yd7ccgdf/YT8pvzbTZ3vnJE6 L+9oGH14Se2xS67yDldN/KoV+RUkoxJnBAPFmVDSagjvp5cMwf5+zNVpDoGUZtuMauxLIF8naSbD TuCdDbxxX03NwAPLs5vzuKloxGeuuO++mpUDuau9y+8ITBxIVGyeIDvS0lmw25ih4yWtXtIaRD3q wUUf5ou8nbej3YfTnJArurwne+QKbg3+a9g772Ko/Km4/tYJHJcpzjNbOgsgsv78KUvbme8DRtgw OEdjMPhiTkiE0ZYjqKYUgODrw3VQLodI7LSIvl9bkcZBBqtYDjk8RdWMmET0p/gVmGF3+KfbxBN/ /fDWVe74Axc2582qSd7/uByyc1917YHthbJ8+jRyOPz8L8X1M6o2F5fdv8w/5xn8SXOBPFYgO0bl J5TYdPu6uEeJTTFuqvn9WVQKCjUZ9DZm04DTQgUWltpDCAjm8KnRzKyjYlhYzYpKnyH6M/NlQVX1 /2xxT+XYD5pekH/3s9aBqxh+/Bomrnt7b/9PhzrfGlwztm1OS3KWpfkSiseeR+Po8lb5YffyhtG+ 1u+vS5sVT3onzDQuBTMrzHAnUJwPVQQxoSWO0i2TicfQaC0TysRz7RBg7AzR3Rn2tRqi+wpklghO VMIRw0vj+qfWx+Uvzd54zv3Ai4+1xM/b4JKr7n+hfnT06c+5Y7+Q5SWbxPXWtNmOvOPvtXzvVfet d45RbCF5hEskjw+zQiGONxjiNDpJikNFcRJ2ajhfFRgW9f3tZvpSgLl080+C4D3OFXtf4nrE9fIf Zfkz+VcT/R2g/vQQ7jZr4kTqTwckPq+nKNuJgtKZi2xa6Ufp64D3glzP/857gXNxad7LSm9fTuru bdJdLMUpCl/BCGYTF2oPMOjjYqPImBn55uxWwoqFqxiEYIHbRj5vwvZwH+bTE/rUskwZxTSazaJU sOUunWZnOvzt4tvJ7pk5q15t/Zl89P2O7voL5zt+cH1//U+feOHXy5ve3Lek9hUuvsk/OMAUbDmK hdeOYHT1/IVh2cny+ezS4ddqWp/bYP4OWtT5a9YqeMa5w4P15GE+hgkP02MnoAm02MlrVAeY9DkG g/qnWSuv8j4o1+NT3CZ8kgv3fkxw8OiluSJ4KLiVU9+My+hZTu68Oydz5exFemBCjgY6lSDCHaA3 aDUGQc+Rm2uwkxNVJThdLqeLPB6VoYmXaBpkznud9YE38E3vLW7YS2nH+xi30ds30afwDvUpgtlt FELIRLS8oZNX6ZQSPFhPwjs3PybxiRvc/D3TkWJjmnF6zwAp7kiDQSJx9KJA0kiIIvowWCgP94i6 iTjscjonZfNHhyIe0SbNuFwv77HLu+X1tIJ0Gs/gNt4hO/HKrY9IyK84tvynjqXaX5Q75Ot5Iw2i NWqwmxNVw6Cp3zF7GkNzQN7nTZObsId7F5/khVu3qFeCmny24vZ1TT/ZoR/VIAo3C56GwZRODNMC KL5R8AB/qT30LicVHDbF4KLsM4RgImYpFFTUhJiPmv7n5eOyfFs+9uwZXIP4OiZfbJYrU1burj71 +oXv9jxVwZ27KL/0+o+x+KWXseit7kuy98Ci+1dl/ujb335jxZMMUyWOiPWEqYmqpDiKbBhoxsBk yWBINovkbjp9O/hKEET+q5+wtUkuQypSogclNSXS5qNYn7n57b0yaZ4b2/v25ky5ctPh6tqWzhn8 uYUHty/2fiWuXzJ0aMnq+fJoWDHDQ36EltYGKerHQ5LbYQswGQz2GAsNixq0OliJaKF/2B5ohXaH wlmV7JoqYkxUbEysSlpVaMxBHDEGWsa8G6Ix+YNn5bPP7Jrb+94uBaQ3MfnCqi0Xt3b+/hE59g6o muW/xtxfP78g/lk0PcfQ2vSWfHvklDx+Nn3GXF64AzYVs2uEWTDp0emOsSb7GAyBOCNcSyahZzmQ ReJA5Np9iWVNw06tNOmmCeQmsSkc4aVgp7JTIuhT2Uq8JrvaZjWsKHESiG+d+bBxaW3O3KoFcsV9 +6trv9V1Y8+gg7nyvh/Xtj5SEBG74TvcnoYyeXSuYrN9Cr8bpKo1350ZFwD8dMZUiURH4PSYMAOJ Ro8RR7UrqSoOfdlSbyf4GgP0XG908ITXqPqlSJeCKlnNIkJNQk+WS2rUY0ZIeUPo23X9aOLg5c7W d3o3uDau6z7T1v777/S+MRSy/ErfouLi2hOvt+HBB15b4zMjDSvmVM6LzFkYn9p1urfzhY3JOX7y y7MbZiXFz0pcsIWyLPO7YuICVwlbLVjdgeolwawljsrrO5GioMpPJ6O+eFUW5FWyIH5LCL35qRCK S1kfR8nPWHwLptwR5BdINFQbbPAxdFLp0+kzUfowkoJUCioBnbQxkZYzyYHLd33gvc8jP/9bfHLx Qw11+xdTFGobvfmoewvaPuW83o7h55eVjw5zB9lYfsQLWEzSgK9bKwoGVqYxDuRUKjS7HsVx7wH5 mvef8HlaaS8W14/vFAdu/Za3kf2XkL4OEneLp6p3jjsnwcyFpJGKqHSYhiF5NkkfH8uxNK4BLq1Q zzJ5IjOtRPKOAYeZHtqeolBOlXFGs+wUE8v+K4yTSiEuWyHQVFqwdGX2ZwVddnTmVGl3cPHu+ppi 37z9PR3D2atO7FywMMY8q3nzTyrmHjtd9dFV87TpebLP0OaZsdHz0yNjXMnO2Qs35ddvW5QQEmry Ka1oKceg1NkRzxyS+3KywzX/lbFsXnpWPFMaB100tyuESxD5SK7bCRgSzqwPjBji9JMUfqLD8ETF Elko7wezBFYDN6DzmXIWRUOqISp0QSmQiKpQUaD1V2rTKyO/7FiyaY5DPoItcfvqtr3Slyfv2rx0 6Zqy9XN34o3nPmuPToyoo9RXEemsOfJqw47hOfK2kjZCkbDnPyDsI0Dhc0Qs/TEo2iTpIxQx0Rqt iNZvuYvPKV6gpn61MmFkLiub/yC5ebD0u58OpqZt/fR7Xfvne1Y3PF7anZs1strpHx7Y9cxoYeHo yU6bVf4kp3fr0o4MWwTDiOn/FGEUQBilE4ejjx9anEYVHo7goWKS0wZQhoYgP26Asn5/mF7lcC7i PlTwfq1thY/YUaEkEyWTcEo+nLu9s+OXIy3/9mTzQCq2yodd81KXd/UtnrOkLjW//bPnHvzLkaTp eObmb3CXI+LhgT3bGLdkcu0hbMh/GLfUIAgYNjtAMpRaGPenfS8U8mhjhNdq8QGwGBFhINykqo1F DztDJdussCVWbhD9pUI8Wi3mhD3edPPTLec+XPy7s6/IX+3YgbpXBj59XD7buKK2A0+u3Lz2avzc fZ8fOfTnPRv+8vr6pk19DczPTOQIbC0kmJCKB+Q0yDmDDAbiaEBBLl2jo4KSnFyvI+cwIS0aDOh9 lNKbgCKRmLbCMd1MFM3fkZmuxjILH16enjfn3Dn58MmTyy5+u3aF0BJYVhz1pdfJXfkyYMMPB1gE 4iFdjhR6+HGl0i2Exe6i2XkmXlegGApgan6SpHdgYbbOWFAWrKWSN1xv0nHJ6RhAWALkITfMJ4OE QAydsly4MJwew8pfFsqYbI5gqvk5LSmNMgErfQk4m7I6pRTEU2WxfbIcVowucKI2Zks0PaP1mesO Nw7aispXnhhZ94dX5c9v2zesjcqYX959cuHesQ2cU+5unbNsVfyCjEVrSw6UDXb8Yd1W3l7e5+qt zdWI+SHBPlpd3FDfqkfLH91qr1xiMi6Iz2zxjTi5s/lQfbK8beHKzvzE0uQmr//c2My87pk0LdJJ DxHnUbJfMyS67eySH+riAiW91tdAPExPJTFwRlrAGfCZMI6J0tA/g6UU0oiWpUG27mHzF0bJh/Or CluczJdrzjZhO+en8QmYv3VFkfc0USh5VZG8hg3CwS4a/DrZgoGYlNUdwNuIrmj9JJNeC9yA0Vdd xFDiu0aNhbTOFhxIQ+GV2vyEorhqV35tuHwYW4VPXNVxRQn5tbXjH5F+2ZzUvu/gxjQHNeswiktd XGcv0qTV+WuHyU9iIZO8l/iKiLYQzhRnJQgsklkvEQjktJINB3SSkbjMQGCwL8/KiSnCPgUDOyEj YICYCRAqZC3KAc3aYfnIvIULGlLlIwUVcXMTZukYQktPtWfUrygNrnp569Z/XsxFbtzAcOIi13Xa 4hZJ3tP8+KOViwJTlmQ2NTe9yDbaJ/VF8poh3k01LNOXRtWXxPTFRL2XthRd3SGbqqzslUlzM6MC mSzLn2ll2jJXDNozUq3K2Cvmy6U0gBpL3qcx/SmWKJzXbEVzklEyWJMUztsPAVL/XYWpRmB1811L JpPx7P2d8t9efVX+2475j//mwMMfPVIq72ptXt26vqm5FeUj10dGrh/peeWRRYv3v9bTPzzcv2Xf g4oMXXKacIVkCATHRC6yT+aixKlcZHcqwdYgSdp+Igow7R65iNgCLeBNqQhZ1ayYcQStNWYJV/L6 Xh5o7sllmGTtYHFX3pVXl+YujwpMTEybtrybE9a+9q2aBIf3hvh2ndPV/tmLdT3p8ZHyNik0wPCw ihfJeopkDQL7ZE4IwNBESkx0G2j506lhOSGIVpcgOEDNCdOmOI1SDyvraWzNSVlPtGR+MynE5a4r efLfWljy7J0XztJCZOWcxX3dFakFchonhU4LOfKXB1nyTLHWebNxV3jitj0DD9OiC0IXBcQvSD4/ 0mYYXUCq+Dk+gOTTSpJOT2FugCoFhaYxD+Sn3Fyx6mD+i13lFWUd6Qyi6Wd6Z6/gL8mHF617UC7l x2+seDaK5ohQT7n5AI2RQNpKi/UD3k7Bk+gOMSN7noVGYtrToJTHMyhipxEKBqOflhuIClSLMoXC ku9PrLaytVYqFqYQMafwahVF0ZY/8O5PujwtK3Yv2RPbuLR538pXdtlWHy60JZY0puenpC7b8vBs jN/3/XhaFcjIKg2NTZue9NiGsn01+hjH3wLDbKGpIaGJtpRG+kkKFSsk9yExkfwr1U2/MCGuQ9ko lX7DYVbMDQOjFYGZk+nolyQ4IInqrgRbLaKYH4qOTKTNDSI7Ch3N5g/RloC87Tv4cTxWy6dMcwoq 9820zsABPOTCa/Llcfml3GJnCRu7mXL20xTDgiZ9m0PfOLJoshRJIv4QQMEYTQPSFH1Q6myFP3BE ev3VRdZsKruflg+XfXfTp3uxNbtucR2RhkfKl6Lxe1yl9z/NywZri7lKNh4t3SnjTfBeiXivdAfv tSL1kybfkGfijp/9kR+/peHHvX/izIp+KZdr3iJZac3SbSRCrtNKIq1Aqz0o9TRjzw4fqtntVky3 ouYtuf3jj3//sdyMbS+99cnbY6xDLtH7C+pU5jj2ZTJZyXfOUb9axsU1rHy9Qyaq/Emoc94y+TEM kdtwx+U/8ePj2VwFv0nWIAV/Dsq4YaGU8koA7QHGuSMiDRaDQSAtsuW+DdQr2Og0CjcEhqmr105W +VMRwXg3i1eM8oRjsPiNK0Ip7S0N7M7oeLm/at5x76/vbPG1tMt0cSvtOtX5ue0HaoOUbae7LjDZ MuVTQrqyr0X7k+5p00Pu2tsiWCNwGkkWOiEZrXzcY6eLJPu7vS8hne19HT+u7n15f31na3In7LIq Uv2jZRNbY1MXSC7lc3st/abnXh9GFPhv7MlO7sX+/V5r0j13WXNof6EQiqgynAclMB9KYQHtTC6G JbAUymEZ7Roth0r61VM11EAt1NEved6gUZG0qHgdWWoQwNz5VdWLFifOa924cVlje09yQcfGZoD/ BiFPo4YKZW5kc3RyZWFtCmVuZG9iagoxMTcgMCBvYmoKNjkxMgplbmRvYmoKMTE4IDAgb2JqCjw8 IC9UeXBlIC9Gb250RGVzY3JpcHRvciAvQXNjZW50IDkyMyAvQ2FwSGVpZ2h0IDY4MiAvRGVzY2Vu dCAtMjM1IC9GbGFncyAzMgovRm9udEJCb3ggWy01NzQgLTIzNSAxMjc3IDkyM10gL0ZvbnROYW1l IC9DSVdYTk8rR2lsbFNhbnMtQm9sZCAvSXRhbGljQW5nbGUKMCAvU3RlbVYgMjA0IC9BdmdXaWR0 aCA2MzIgL01heFdpZHRoIDEzMTIgL1N0ZW1IIDE2NCAvWEhlaWdodCA1MDEgL0ZvbnRGaWxlMgox MTYgMCBSID4+CmVuZG9iagoxMTkgMCBvYmoKWyAyOTcgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDMw MiA0OTAgMjgxIDUyOSA1OTQgNTk0IDU5NCA1OTQgMCAwIDAgNTk0IDU5NAo1OTQgMjgxIDAgMCAw IDAgMCAwIDgzMyA3NDkgNzQzIDgyMiA2NDcgNjIyIDc5OSA4ODUgMzc2IDAgODAxIDYzMyA5NTgg OTA1Cjg1MSA2OTkgODUxIDc0OCA2MTIgNzY4IDg2NSA3NTUgMCAwIDAgMCAwIDAgMCAwIDAgMCA1 NzEgNjM3IDUxMSA2MzcgNTk2IDM2OQo1NjMgNjM2IDMwNiAwIDAgMzA2IDk5MCA2MzYgNjQwIDYz NyA2MzcgNDkzIDQ4NCA0NjkgNjM2IDU4MyA4NTQgMCA1ODMgMCAwCjAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAK MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMAowIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCA1NjIgMCAwIDAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwIDAgMCA1NjIgXQplbmRvYmoKMTUgMCBvYmoKPDwgL1R5cGUgL0ZvbnQg L1N1YnR5cGUgL1RydWVUeXBlIC9CYXNlRm9udCAvQ0lXWE5PK0dpbGxTYW5zLUJvbGQgL0ZvbnRE ZXNjcmlwdG9yCjExOCAwIFIgL1dpZHRocyAxMTkgMCBSIC9GaXJzdENoYXIgMzIgL0xhc3RDaGFy IDIyNyAvRW5jb2RpbmcgL01hY1JvbWFuRW5jb2RpbmcKPj4KZW5kb2JqCjEyMCAwIG9iago8PCAv TGVuZ3RoIDEyMSAwIFIgL0xlbmd0aDEgMTcyMzIgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3Ry ZWFtCngBrXwJfFRFtnfV3Xrvvr1m6STdTRMCdCChm9AJBNKGJGwKEUNMAg0BQoSwhSVg0EyIMUaC ChETkeEpo6iIKA0iBHQcEFwZxBnlc7anzozL6DPKOIwzo/TN96/bAXWe7735ft/rUF11b91byzmn zvmfU9WsX9u0hBjJZsKTyOKVCxuJ+rHsJYTuWbxhvTdxLdTi+qP6xptWJq6lqYRoM25a0VyfuLZ+ QEjunUuXLKxLXJPLyMctxY3ENR2LfOjSletvTlybl6K9whWrFw/WW0twf8/KhTcP9k9+h2vvqoUr lySen5yNfGjj6nXrE9fFK5CfbFy7ZPB5WkUIL7291Jf+xeYh6Twql6wyowsUZpEbiIaUEIFwRCY5 ZD8h3AFtBuZL1Xo8c997cmSBpfCv1K1Vm3/y5mQ1f/F5z8PfNClZ2m0ajJfo1OdZDd7RVCnDQYMj qD+i3Xa1Rn0PX7P6yJ5AH+kNRI7Unm88z9WeazzHyV/Qhz6nuZ8f/Jwj/TT3Yyp/QGvP0m2naO6p 8lONp3j5JK092XiSy3mu6LlZz/HkuHycsxzzHOP+3O73XGx3eD5sz/X8Hul0e51nR3fQ09Nb6Hmo 92Dvz3r5zvagpwPpk7YxnoMtGZ7XWus8ryC98FOT5722oKcN5ZbWoKe9Nc3T2Erl1ljryVa+vJVm 3OxK3+hK2+ByN7lS17tS1rkaXX1aEklOX7HalZS2YnWSe8XqlOWrXO7lq1rXpjY4WOVAev0yhzOt fpnTXb8sZclSh3vJ0o41qQ9M/tp3P9IOpG6ku5G2Im1B6kTqQGpHakNqRWpBCj4wT+u5P6r19CDt QLkb6e4btZ6tSFuQOqu0ng6kdqQ2XLcitSAtXqj1LEIKRudqPfOQqiq1nhuRFs7RemqRgnPxVYnk DjuTxzmdeU7bWKcl5DQGnboxTinXyec4yWhn9ijLyIB5+AjLsCzz0EzLEL/Z67NkeMzutHRTckqq yelKMtnsDpNFthqNJrNRpzcYIxmSRmvkBdFIKGd0T9B6LOO1Hr5A6yH5Wk95iMZsM8iMiuKYnSK/ oTgWCswA3WbHgoEZMal8btUhSu+pxt0Yd2cfJRUx4c4+Dpltcs3cqj6awqo73LisOk4o3dxxt3sw r64OpMfqZtxQFWtMr44FWWF7ejUJ/A8fGlAfoYFEHkBh8PNDr35bi4diyayb4sTjh3RsAnWzi5vW r7vSAvIr5XX4rMcf+zQhESI2EceV7yuL49uc38lqCRn47NtvVlJGsO//nQ9b04l1/b/T3r/cynk8 +SpS32A68V+8+QLuH0faS3YigWb/D59L5NLVp3eRXWQe/lrwdy25lmvgniTt3Nd8CdlGjkLvzSO7 ySm0/wlZxzWSE7SSjiZv4e8u9jzlyB6ylKznDpAHWU42ce+QRvISeZI8zC3iZnJm0kv/SA/jzV5+ FbeFO8JVcSZOj7diZCQhkfEF+eFxeWNDwTG5OaNHZQdGjhieNSxzqH+Iz+vJSE9zp6YkJ7mcDrvN KlvMJqNBr9NqJFHgOUqyaSx5ctWhFE3A7fP5qkcNXqd+/zrGZ8pf+mLE9r2H3N9/6FDaP12n/9N1 xtXrmTHiiJX5J5ewhg+Rso9ixB6jjhhhvVD7dehpcCSldQ3+0mWxlMl1tbV4o8Qve2NlF3MGh6IO +JBBP9k/eYl+VDY5pDegaEAJzzYeomWTqFrgykrHH+KI1jQqO2bDus8sZakhFtlai4K/BFNHjf3b mr6Bk3d9t4rgtcRDBI+pJRqTJsc0ar/eZbHIwhjZ6j2UfbLrrj6ZLKoNGOv8dQvnVcX4hSDqIcJn li6twBV6Rqpd6o0J6Ff9cuOOt3SptwvX7LFafPtL8NYP3sdt3eSqTt9JVUN1lsasgdgUvDll0wdu vqs0eZmXXXZ1dXpje66v+m6tjz1TXV2dPCrb21XqR0clo7JLG4pB6eQcRm4hE/+m1flL65Yt9MY2 L2oAbfBv4V2M8L4uOVb2FchEGelYqqttYONtwLMCMm/X1iXqfO5Sx88oSkuXgnkL/6enurpKWacL 69hQ0PLkWKRCzUhFDSOZtxTkLakevDX4AGoEtaa2pBr8YL3NmF01GbWl/oUlkFMmy1fv1A7ewY3S K5VeNs5psUhtzLvYGyOzq/x4OZ99LcknXYvzmayjGToqe0b5t2/FxEzZ7+36K4nRWn//Z2zE395Z OHhHypT/Slhlmb+stqurzO8t66rtWtg3sHmR3yv7uw7NmNHVWFqLXsurYhT3T2x1x8ruqo7JtUvp ePCHSUnZ7Koit8+KeSQuy69cEogdhA9ijumACvg3bTADL0hFlc87OUbmVFW7QcgqVq5AOZEzYYNw 50MOBsnGaLSETRYdsfJg0edjEry1L0IWjcr2xTZfX5W49pJF7sMkkhMAP2pZzckrNc45rGbzlZqr r9f6wZwjKkxzxrTDrv6zyC576dLxMer6b6qXJOpj9slVvJtjiwIlzs2zkj4AbVAYSwqgPDzQBba8 6Y/JgZhYddJdWO2VrdASjHs3+GdcX1PlLe26KgWJO4MzZSInv+l/jULzQC/JMVqojomqSgn0mhbj k/JROQqgMntGH9GVJyBEHx3o6Csh6ccBT/kF81F9f7bXW7qsBKKBi53ZuDHSh9ID2d6yBEP91d4u b9e0ui5vmXfpwjpwTc0he0u6qnPAvBuqsIAZC2ORavfV4pLq6vFoZxdrB6/g8a5qtNAw2AJy9VZO HA/9OHsGJHtYeRVW/+YSiEBJNZgLEToJWTsJ4a+uxlO7r44UI25Zljw45n/DmHePRP2DiVYAcTaj iequLtYmrrhh4HhXl7sLM1Hv+H3AUIM3+oj6DJRCH42UV7GqiN/HRK7U7/P7MI7qErT9EFhyZUEB q/8nkpKS75D0J1cHijcfxvB+opL0kf8lku79V0j66L9E0seujvR7JH0cY36MkXTfD5PU/98Q9CqF Iz9A4c0JCm/+AQo/8R0KMwRGCVcA36sXmKSXpAgHyFp6isxEeTbyeq6IiAIhRQKhDyIvQ2pHSkKq R5qHVIdUjDQdz8/n9pMOrYOsEisJEdrILnE/qZMI2Y36Xfwpslv8jCwVL5BdHO6JRWQ3/xnZJRWR XqQ9Ui/ac5BtyGuEC2QPv59UIPejjRbkRIs2+QYSRlvNfBuZiWdr+AukAm3ZcB+uJGnBGJroqYGv cL8N5Q4pQJrZfaGBXIu8CWkqHyB38w68B5+T1aEtSTyllgnKhK8kSWo/eIe7QFYCr4VxXYL2ViPN xDtuvpcwHzvhqxJ46hK9F9decgb3vv/h4NOyxkUiwePVQiHoiQFvmIiZWOD7WomN2K++4iBO4iJJ JJmkkFTiJmkknWSg1oO2fWQI8ZOhJJMMI1lkOBkBhBe4+ua3hWwyioyGT51LxpAgCZGxJI+MI2GS TwrIeDKBFJKJZBIpIhFyDSkmk+GFl3778g+Wyn7w7rc3p3xb/E5p6nfKhEz73tX/38V0vD4DaPqf P9ddvTFTLeWCBvPJdnKSfEoUmkbL6C56hPNyj3EX+Ur+DUEr3CsoYlC8TZouPaZxaFZp+jSXtMO0 27VntH/SlegW6U7qLumv1XcZvIb7jJOMtcaHjZ+bbjW7zPPNz1uIZZHlsHyX/LqVWEusO61HbSNt dbb9ti/t4+2NDpuj0rHd8Ttno/N3rmzXfNfNrntdh11/SpqUVJ90X9LnySUEGBsRC4gFJERDwiwu cYJJJHkAMQpBPoHbolrmZfL9Cg4vsYc4OXeMz+qzZuKL4t7Xm0XyDcsJCpDEdiXAtYidkDJXRK91 E0FDqdhizokHcwpJUdGYXBqS9NQpU3/WaJo1LG+sjTOuaVlTQLPWZKxZOe7Gp8XOE8rflScfir+r 3Jp559Nb3/3TZ/QYIy0lKWjbhrYdrG2dQNw61rb8bdt2/7hUmjdWT7NCSRmUeRkaM93SeNuqcUUt DY2eRrQ/K2ujEjhDrXRK79NgTmZ3ZsfTd7372R9+sfQNtY+1pF8YLxzFesmJJIuiRrhfTynR6TT6 +wXKcdRoovcnB3JCOXJhvDCYQ1BSC2NyM62+PJ81ZPU5fVaOKmvotv10m7Kmn967j+X7lFVsDjMH zLSCarESMyIITOligo1SSRCMB6Wc/oIcW0EOKeoP5YzJTcqbRMOgz7hQEPOQ6kYN5RumBSfO3Pxl ZuDGGZ66cbNWVKzep455Nq3jSrgsMM90hO8mHJ+DcfWPybVjKLPpl4qZyzrN+q4fuEhryHuYm+Uo iUl2/qAup58UxcfkhtU+/ENYf++Fpk4ZGyore68sFCwpCYbYSqREHPicyxLvRB9jIzbK8fyvCYXH TjlQh7eTvoGLRzkZBOJBkVBOKD+fFIWKQp3i6EBnyxnMhoaoSO/drqy2ibu+rkeTiMIVDXzJnwY/ DdA910bC+TRPHu8qFadrxADNlEe6eHu3ZDd1E8HVUss38tv5GP8mf5GX3uTRJ+V5uWW1jupyoqDX mrVRzKS/qJ9Go5CxIJxLzj+Es8q2JGROhy0UtOWN5TjtyW++efXsV8o5/brO29evv6NN7FRWKq8r Lypr6R20mE6i215QPvzy78pHNPXLv1AvxknpgxhsPeIXPEmOmHgb4bnW7TzNxRBy1rBuVam2+umD r74qNn29lb1DQDX+BOaWQjoi46bL9Y5NmiZTc7JIUlJelgSHBJbzFotRSiE7eFu5pdK2wcauu2+y UZtAUiReoEDGkXSTHKZU1yI5pzoXOHmn0yIIXkuuJWIptwiWnGgoxxpSCRCwJoVIUbQ/mBMt6g8G cdda0GkeHcD6APlpNBOykBceZ4NnPsw/RNLkJeTKTDX0Mc5x+a6Klz6ZcsfqikeueeSpY/0Teo+c OmVefIlWPD1nw7bFNUrHpecrfvaPdzCv9oGLfJ24hWSR+yOGW9w/dnN1+uVuTt838KtIpSk57B5u MuPLag3XDF0+dKvtUbNgs2V1Wyg+KUZvWm7atjQ+LS2jO8Ue0ZXranU81la3kW5w0Q0WqtOl2QhJ E9otFl+7yyWnXUzj0tgsweJ+a0FOiM02Ckar00TZigUT7S9IwYKhURbBikZpKJiY5JU5SpoMSIDk H5KV51LroHlyKF1jbN/SsWJlx6btp96rnD/72pGXTjx034M9S24JZUxrtvGjVtwUXV/ys4mvH2zo HuuN3j792BfX/WbxzYtvmOT3WQAAIL9J4PFL4LEelrU6EnSadpDdJn66sca4ycgbTaaX9cSh1xO9 qNvBmUxEYzMSwaQ3aqm2VRQEUdRDeUCR9BfKhVYwL1SEyUCZFLBVI6h8I1GK+VhDTr/VD/WSaaXc O7N37z4dP8TNUn4qdl6+uF8J0XOVFbRHWa7KXT3WVBtkNYXcHLnemWEyhc2FkKE5BprULUlGYomY HGGLxdpttPM7CD/CUeCIGPg5Oupo0XFcrm6abglYwrfKsP65sNfliP1IQBAWi2zhmMAxcWMckftV RoAVLTnJAcYHaByVB0ztWCFegtMhfEt0SJ3mPLdCme50naWSEn9j/577t//oyRNbNwbEpsPKQ9zf fvbS32a/sWjH8tU9aiiQI/Mga2wN2YFDbn82wyHLYbFv4LNnEvnZyAwUHKKnW6OhKd3NJmqyt3CU 66UgraRziqXiHHFOcoO8QdRWp1HR4WqR01r00FHl+iX6Rv12vdCqp3q9V86VOZlNaQ1SSO6XsX7U uUWxnti8gghlERYppeEkLJhBjQy9kjc2lfKS05EQK7auuCZH8563ClavevQPX8Ve+kvLfzyg3bK8 tqVjZf5csdn8wE2XHi34dP/BS9T5/j56HfXHh+SM37DztsVLWoZgbdVhvp+BdyK0Yc4IWkALBKgB jnuFFxw8jwiZXQDLOIHy1XQx07y8V8wVI2K5KIgJzsB+FDA1GGJLv1NsOUOhDe0+mkV9dfyd8c7D HIk/Ah11ywzhFogLNFox+nwBNHaA36PIXZFFpemlnjnpczyL0xZ716Wt82q1Nlt15rLM5kw+s9uS QTMy+MpAfWBDgA90m+zNyTS5W8N38vfzGKHW5na2SNKQllqVvjH9m3qRgMbuls2Ynp4Mb1ktU5C6 H1K0pp8pT7asQ0GmuKC2oupijmI1F4LgUfug7dMw++cfMjRvbHg0zVTVV4Lk9oQuS1ws+urwwT8/ /eLlky8oysvV13FtLbULb22fN3ezdcvK5Z1dq5Z18sreD//42HObGn/z1B8+3n9h3dRtVXM3rJ97 4623xC84aps3LVy4ie0icWQ6aBIDTazAwesj19sEyWGxhCWHzRZOZ4uI9hJ7UvcSY5ORMwp6IVWY LtQIlWnNwlprU5pWsDlaLJWpNLVFR3LpavBJhsKutvAWapmlW6bjYLGC0F/gGNaQKmxs/kWqqAUC TNjErHG2MKacMP82p4PYB/W2OlfaesuP/5S1YPOeDy/FXr6snFlo7GxY2NpV2yh3L6JJOyZ8/vjT Xyp/eF+J/4N7szy5eVf74rm3s3nNh/1fBB/HAM2VFrHYYkaZwQBLMX/QWazL+SD+gWpCvw8H7N+B Bu+Epk4NjZlaNlnNp5T9cWooWFYWDE3lXkFpyhSUWD8dAxe52bARSfAdciMpBoMv5ra7uqlgbxGE ZF2H2Qz/IvlgBtPqbH1BqavGGxgR0hrOoOC3BssqaTTA3DgWTMbSsjMZGMRDHe0P77tmTbtUMiGn pvK6SO7FqXnBkrLg2CnC07+Vnri1/JmnXp9jSvPcOK1s1d131kya9s0DodKS4NhpqtPAkVVKpeYC fMIJZArZG5kMddEb5B3BIJ/U6+OC1/BFPF/aS0ietTd3OB2ellbUm6fvzSnOs5kdRmN4QqFOH85P wRdXfA2TepEPMlPtRF0waC7szc83O9LTp5l7A4FpDuirZ3WGsKN3aE5/gE0WSVWWyANJIVtSAYwW KboErRPKwcqAkQMMtCYh+475DiaFQ4OKZhJQEvF5iRXfwTAwYggC6Vevh7LbDg5KFxtYVNVPtnE8 007APiAhx186udJ/ZI95ePo1Z5uUpcobyv1KFn2F/vjLIyX3Fh2ZoHyqHPu1MiL+R2qgx6iXrqcf HFA+6l0yR1e8Z9aPz9/35Rubolvfa13a+ZYwoW93PDXiSMt6/PKd1EyXKUlKl3Kfsmq2d3Hlzf9+ E/13+hD10D//RSlTDhxSnjk7LTqzkpIX/o2OPBpfd+tP6LgXb3tIeQ3LDfKCj1gptsAj0ZMfRab8 Q0dTiIsWaJdqBUGr0/F6UZIA9Hi+jaMOYHCik6Q2DXFoNETcEdHrNTpKBI6XNDbKcy/AWr3g1WgM kKrUlHhBAf6R5KLCwsKiwhCInto/CEo7RyczbNopFyKdKYTpYsgxRP28j/eDAFzV3dyacyfiT8fO 8S2//4XY8nU7fVBZxJXTrxU4UNCdu+BkV0JfWyDpQ8iKyPR6wwYD16ylupQds2zUYjto42w2at3B 8ak7qE1HjaJGMo4zlhmrPcs8za5Nnk6NztVi0Xg0ORpeo/G0GPuG2lJb6bN++at4oaxAEqAYIS7q usTgo2v6C5hqjI6gVl+QLRQN+zJT6ocaxULhWQ4RGTuacuvA21VPvVh/4YFnV11QvjnQsafzz8+9 tLdpyowusSn6yPI3qtNf7Fy+r0E4rczbtPC1+H6lNLRiUqRhLMOvsEXiTOhAF1kYKX7cSfdZKF/F U2O3yWTp7oMV1Qu0mxBn9zHAYLtoK7VVa5ZpNtpEIzZCvTRCy2kj3UMlamuhmmNJ8ldBFTUAuzGM 2l+0QM2iC1S47pR8Q4ZyTK6DohOCSqDxQkFx5u+U9z9VTrxAn6FFv6Omv356UTlN8/+i0JLf3fw8 nX6SjqF71r1zl/KLDz5SfgU52k04cQ/4YUYEY1QkXd5BeesOYtMlT0+ulOoloO/kFqnPY20lz2bI X/WDvgxKFgG3hK0+rwA9y2kkeIx+O8AWqMg0T9Zobjd9h6bTa8+sqKvvnHX7Ce3XlPQ+tnr0fTvz u2/jxHVPKkfO3DVAFtaFPE7h1Dd/HlE0uvfD39+TV+JidNwFd+wljMlAyiIBzQ6PQGcJ1CIcFDhB MDAEpt1hsInwjXL15fqYntfz2la94VkjCBYvVI06cwhV4xBds3bQqVN9TKCsXXxyPMYVxs9wiy9f YCiq8hll5mHIJgUtCN+BfnUkHPFpdjQKVBB0rD+dTRRl8Gc7IsxAEtpWqntWf6U39JXo6rsd+Xdz n8Tf43zx9+DeHFY2HY43oQv0sRQysggy4iarIlMiuoi1xLlXJzzuovvgCbp3YHXoTd1ms8zkRS9w Ka7uYxiGPUVDRXupvUbToGmyI2hgN5lSWrmj6fYWzbG0BF+gASHsCWEpSEiMqjQT4hKlPquQUHm+ oCvpW4kpwqrg76YXFHweVRbSp2nJhrcf/vqrD5WX6fi/3fy4XfkLF4vHGmkPZfBqT6jk593Kq3/8 XPllWKJ+dU5Y0+IElV/5EZ+4Y5a+Vc9Z9Af1HNQM1fKcBu4fBmvSSa0axiW2TOOIbEC7JNYn0yEM rCMhFiCse/XVy1+8+ipvZZ4hVxuHfMb3JvhD69APT7IjaYTnbVxrOU9PMs92O78Hnu5JXuR5bIuq 1oKxXvUz7Wh791U3M9GOWIR29OS2yExRT49zx0VO4OkDwn7yOloHIG5jbgjH65mO5N4TBYfIUTQs CNCXiHHyIjZvz1NqZC6a0Mocaz2bnIFNDmifYbUoNCeUEBwVljq1CXCJHCoUKJMB/zUkuoaGdNRH 1Znzsa/jD3N/UT6Ph9lw4w1xH3c4PhOltit05t/BuEWSGjFxO0SQlYdfLT4rQQJCqhwCC6jRlF2v ck2XT4tN31xzNCF3sM3iAbxrJLdHZo0wUmI0trFpGQ2iYEBZ0jjg6UiaVqFVwxk1Am+QFoirRQ4e F8SfGHhRMho1RGglXC4X4Wq5Vk7kOIOmVfesCb0HmYsTtAKGhkLMciQ4WwhTHWUzZx61OvOEaw0X jfGb+tV5U+HLE68pszOVma8+T3/BeC4UxT/g0r45hZm/CH7twdifxth1JD/i0YEJbVqdQ6vVwXzZ iFbD8zpIl0ErtEpsVcaDLIHwGERh52AshfU32NnFFw5crnn+YR4toqfQN+dApTMgkuo7SROAwRjW mxHJe9xG9xmhvfswBMHWfUyikl206J2llunOSr5aV88v02mdLS5wvy/F0pICc3ssWf4qCiUJC6Ti U+TMQCaQh/otDipqkjeW8FNpCT2oXKc8q5xR5tJ99NqLylk67pNPaYHyirhFqVfO4m85Vt4YrLxd Lyhvf/IH5W0a/OBdmsPGu00NWG/EeO1kfGSYeYdeT4nNBBVua5HECr5SXMQvEdeKnWJM1IKRZihx x6CEquARqw9KCwLD8KqZBqgVWly1idvoc69+vuntl+87f/63m24XN/7q6Kbn58QfFl5SZqxb/g76 rlE+VGnlhJ/5RGTjJgvdpKGPp9F9LlqB8CoAiqMbYSBKrWndx6Crba7uPgM1CI5uq02wOqxchW2t 7ZKVH4uY7Ix0fq5UIS+XamXBKqbUwn3G+2YRZb2nNGW6p1pbaV6mrTfj6JLLTM19/pSWFEQEjg25 Sm3oDRbZKCiIRrGqij5izgGAIXOZmK+NuyoEEDWjuaxhKg5McCMJQI9+hyWS+7X5596KDSjP0v0I dZbQp5TnlYG8v60sjLd+pvycjvv0Y1qovF51Wiyoax5N78TWAjijLFN+rsSVm0OOBeIk5c2Pf69c oMH3P6Ts4B2msgd8gqmBzh9GVkdKGjXUZbG8Z9Y7zGa9Re/izWaCw1spKWBeOphXrl0i1mp5rd5l 4XMxXbO/hYg5cMxb4LOKqRngYtYVLmLSSaGgapIZMwtktuQYWDMPxrAGmYt4DmK7HkSQh+Xwo7kr nE6gnj10/tv/2LR28ub107Knfz6R12VNmjzpphsWjS0svHbnmqKyVrHpl89sOpydvfOnGwvr5onG cP3KyvpR8T3CWWXK2GWTi5ezieIgFnzApbBtPvJZZPQ7lN7vozsRfWkAxMy3/crGcRlBRB9+bgXE 8HG+VofV4XBYk2WtLqxBLDQyHIVj0L093KOIiWq5ZO5m7k5O0HI+TXqWI+zY6OA5PG/UwXM4YpbD OgTQLkbCemO3RoBClMOpGvfj7mNu3i2707uT7T7OKzisln26Pt2riM94W4c7qdOfamkVqvyULIjm 9J+R3432n4ELXQBLyQDj2/nRc4Gi/gv551h0pmABw5EF84G4FkQDAaZLzC1QFQvYmg5QdhfGNUoR G1NjzqpVZaEND0UcB67XleAZvbRzW/OHxw7ee//Ti34076YHKPn9kfP7H74wv4WbPu/GJ1Y9+sai P3bPnVK0qrBm52f7ftmqnFs2azNICprCwgqHxY3A+ekRs2jjNSyawQmtCLMjDgbvD7HoQgRT1QAS TKhf2KakvKb4xI2Hv5kgvKS20QLMkQP5SyUjI6nDcJJvmvY1LRAV7+zW2kkrPZomt1qedSdgBENO hSqqt0IlaCSfF3AuD+vLkYEoIZynPKH+tZzS4GPKJeWLR4Olo16r6Ws53DhhrNh0+eOf7F0Z2HZP 9soHn+CTLn/80q5oNHjno+oYyMDX6hqQyMpI0UaODpM2SJxqaSWCyC6BfRHbBN6BEC8C54jbNELd 8vZmSjcK2PzUQpP8VOSln3phgq94Kf1Rtt5hbkJRpusLv++ksDggAxawMiEqmF+JHx4Vf+w1uhdq v0O85bK6JQdbPvC1tkK1i7+OtDXzdC63nOOKEEGCpWyjnINSzoAwUpvRAD/WIOp1+jZBxChFSavT tmkkOFTSRiNt1DUaOZ1R4AEaMBUGEgx6PWyTVtLgJZyfpbzBmAsTodMYjYJMvTSX8pTKglfIZbgi R1Ok4TRADilIyTmQyRQVz0GlDYonSqpPJheqkAJfzLpGvz/pKw5awk9jOg/BfUYDHSODDiXN3a/E zwaUsBIKxM+9Rtto+wsUoPfrDqHxm+2gy0T+9OWJTPY4EsZ6no7Yhw/7l7FI84zUuanLU29J3Zoq 2j1+D5dtKbRca5ln+Xn679Kls4azQ74xfDNEsBgsQ4Aa+O0pNCUlzb+zwbHJwV10UIcjzWQYIkoC Xzxyp67YZE/qTZMdhuIhHVQUR22jP6NfUN5D32MxOjklJat9lrxAbpUfkgU1+MVi9mtZsEuOfwjo 2F+EyEtSiAHcKNPzt+ZEk60haHpMeQ2bc5RaHRBXJ/PpswajIEVYpoiosjB+UgbHW+G2qLEh7rTX VzZpxogm5/r22s0t6z55rOfuhld6ajJyTc9sil43bfyN3AilOWfM6uHp82paa2/cMrx8zGO7XmmZ mXLDDUoKteZkzsgvULdROdIMmvVBnkzYn5kYGbZEbBI7RJ4zJ/UKMiHWXr1ruqPawTnaZQ3VnDJx lg7T8RSmzeX4moRrVRRn4SwaBZDDQFkgi8Um7FZYqkRUp/nohjsOvqv87d3ql8YfjS5qfmDbOuy0 xH9fqfz9/LvKP4alc02KOe1A55YD0B8zMZ4QeOgi644TI0IuZocrTDMczjCJsC8WhRlvtoZpJMkd hv9jipisYZNJ5+zh7ZYendxJOk0sEB/B7gR5PrnUNsfWIDVLWyTR1i49Bx8V4bjPA8FbYWNVnwts CrDEPtjfc4L0gDrYSkr4HInALx/a0v4rZeDrn09Zc0PXhlsefLJ72TtHQpS882vEPTNfrHrqjrsf g/zVYDwPgpYMj+VFvGVypbxcuEUQTAZLUi9vs/TqQFKDsYM7xcYC6NUfZ24Fc/2soRCjIWCfj4Wc 0X9SCoWXzCJk0GPcx8eUW37+l4GX562Yc+OdPykbOX8TQ4OU+zXi7FnxJG5K4PD991w32quugwrs D3SDhg5Y8LqIQc5gkc2I0xmWGPXGWKxhCfuzOy0wL059Ss8G6x1W7KIJPc1w4Vxz+AYz52p3OKTn 053FtN38HPy1+AeyAo/+CkhkUowhs00BEA2mxafqWlV4mW1hO3HOTN9oyLLEd8ebNY+0HdlZ8ejq nc+v+fyFY7+Jt9DzmvWLFrXQ52/f3Xg4P/dHF+76JdUMkHcqV27YwNYykAUW9HzYZieZF8nXcSkc oiyyvcdELBqNrkegJhxwMEdgns0RvSFsNmusHbZGzUHNzxBkcWgcxHYScZmEb434q8phGSoIPMfa A+BXjRCE9juGMJ0m9mD8eb0/vb1gZvbw5Tfs3Xv0dn5n+N3f2A7La+8N740buUt7MT6cvVAC/Hyc aM7EaYhCykVGb3A+6ubKPPWe5YW8fbjdHgZWsIZtw632sGy1BblN5iYr57FOsAupQ03ZjBFGxJqz ezYAshv5MNtbG2ezh8M9qW6pd1gEdcN6eBlBMl3Ic4OnZsJd42F4dLqw1T6BH++x+ExDR4hiTrtO N75v4O3IRPQ1vp0kuZK2J+1J+lmSmJSUbmnf7tsD4OIjt+Xdm8fltc9K35b+UPrBdCE9feKI9lzs +3DkuYnbJtGofEndBWGBqARrwd+AuiMHLQ6lhVhlgK2XAESVRThZLYtrMpS6BisHCoxF8n1OfyJU xSK7rsHt+YQyU7e5w8Mok+hBzcCzsk9VErPfOUFvOTFu5Oy2HTddt+SJhVnFn5x+6T8+njdr8lla OX1p/czrblraPK+JkuaOfVzNjifvCdeMn7p1usuS7x3hyhyZVVzXvvvfbn9u3ITx2VOtNXRZXdmU 6IIpU2sv/3bmxHumXBO5XpWpFjCuHevTTgoifiu3z9xn5sy9AiGS4BKGwarJertN36E74bRyHfbj quuBABJz/KNFiOMzPZfQcpgl/EF1m0Jj9bccXfvEvHunHF18fWFD5ChU2/6t8x7eE7/EFSy5ZdLU OH5GwxGEU+i1ohu6wUKCEZ/U6oGQW2xGC9+q05nbCbbevJb3LRctIrbv2C5cYuME2gHERrffidDz 8A3fGxWJjBoZieQePSq6J43KjlwTGHmN0nJ5Kfoa+EoJ0GK1Lwcpigy19sqJ7mS30SLLEEvHYKcO 2eF18ATG7uo+TU4K2Au7zbqVP/hPHTs0WUBUF0ZFJo4OFF+TfbSvs2i66C7KHj0pks0G8M2HXyzu cK1ip3I4gigADigx/19H1kaKENUVROE0QDGiAAxKnRYJ4hS8SLi/izjlIQI4WYCsEMSCP8YCV7xB FLUduuP6vxkYAGZ+O7Or7PAB9lIZrGB+e0rOgiiLVyTiFCqi0KrxCuAHP2XU4t75tbKR/vqSEnrh 6FF+pzIRBLrA71G38cGGDvCGxYN4MiSShL1/wrUTXua9/Ps4iSASPsLjuMWVUwAsOtMBqkP9Mj3V DF//MH8Au0h3RmrCFpyacNqdHM6e8EkWmmyuMnPTzTSFM9g2mulGHTUjNiFo0oulXkdxFiJosmy0 pHQkM0WWDI3VQVmJnjSY9B1aA82CB3rcc5M3MfloFFb3UiBecCnAAkULooAUOBEQjQJLqt4iQ/dA +SxucEU0sa3M0AOS64rE8uuOza4vWDDx6NGtHQdr733ojqeOzq9aw+2O13HkgeaxxfE6fmfz1sf2 nXkt/nvOt24TWIl5qmsHNsWGsyEe2muxmHol3sUPQ0RHtlm0VpuuQ3vCQeQO63G7Cg8uq+umKArI D/mlbBjfrhosGisNb/px5X3XHa1c0lZzgt/Z1Fn9433xLznj3c1t8dXQrBy5duCi4ON3DdrTofVk mcQZe4hs65FceZbxamBjjqXGKTnb+edTLO061aZeDfkyNB1kYWbVpJOk76geruCX1KV89H/OK5/S lNfb9x3ovOPJw/wu5c/nXlH+QQ2vvk5New903P74E7e3H2Dzx/qFvscoMRaXipOEJqFD4M16uRcu idvUSy3T7dV2zt4uI3hwipgNHeQ40MZ3cRJ2RJmNtyN8AXcLo8pi4YuEMhxNm2jRX6lVGXilanlb W8W8zY9c16EExJWXfnte+SpLcQin468HDt9V01WUGM9UjGerOh43GR1xG4WkXpyj6SUy7zYJQBhl OCcG1KZj1rs/ehVnqEPwgfoJnDMUsjKEeU0JpVxEuRCtOrpx9pkBQvW0fd2GWeOTZzxxh2d4iZnf +fUO+qGXas++o8RdXMSZ6Z7TcvczWnZoE/JxN3TrKMgH027ukTw12YAXYahli+VGCYfIJCsxdZiP y4wkWMILYE3YGZYcdq4mSp1hJqUaFfAw0SjR3377TY21C66vajvG73xLvrB0T82+dYoHE0Zf8Nu5 0+jLT34bcTaldKRzaamppw06h8Gg81lwNkU9VpNilMMuOcU3TB7hG0fHyQW+MnmG/SGql/sGvoq4 zHiMbjDQZvg4aakGQRZ6fXY7s8vFNkfYHoHDbrc7e2VZwzaG03R4xGSxU3skORm1MM/2iM+HRzTt JOP+jEcy3swQirBzjr/kdhOaeQbdq7nfHzYBX7L98ISWhb1cwwwqwyKoQDCe+UUoMp8de/qDp0LC eQxUMQj9A/56Yrt8WMV1PwkXzM6riq189LbOex6+Ke+aCdOv+ejQ1tmbi8+Mm5yfNTwvuGjr7IY7 rj2yaFSmd/yIzNseXNMNFx3uHmi4T6gEvpoU8VLqEHsQAtdre0z2gGWCZYYF61qvT+LEDrvTaWcn WFS2IXzDRg3gBy+eAakxuVbqZGdBVOcFQqU633783Miv/Hv7opXLbm25IXVI0h5eouUv7FUmPli8 f8I0V7i6hYKTql4B3m8DW+1kDHZzqFUnpAgjBF5nsdtgmu1QKPYTTkOHllljBCoZXu4vKooWMlvs y2PeEgAn8/axjsLIubPje6bfuGPG0RuW3jb3aFNR2Y09T3GW+F+617Vy9zLziLlL6LMZfUpkTaQY IRpbmJ18PJ3wnpljfzrh2DOXXkBoxw67JAoWkYdbLNWyIGG5VCtxON8VgWgIOYFQyhUnuIB5vSyc XFQI2PRPzi5lYFn17+3ckZeUholK7St/53deruL3xV9P8EQ8hXEZySeRHfX0AY4bqxtrXClgi8AG vxtG03h1lAajYXCUekTZTuv0wIZ65uOfTvj4jczHp8zD18DCSpiCAe69JeHX4xVJqyGqd29h+FMg tJzW0vfpRexSIXpcLtQK7wsXBZGwPaXVmi80A8DVqrePfYJBd38NsOIaOPvM31e/VXdf3YQt/Nd8 ffXk06Cv76Yhu6CcVhoKlC+USxOU+tN//rTzE0Ydri3eCgr9khsd/6XKP3wJBHQykF2ReTgHhFlr dGAUNegNRM8DSABc8FRCyN1g0CMURSXpdGIvGQEP/WmdAGIB7mmgmPQ6C4MaBNY+wpfjBCLsPeX1 2JGWMOEkIA0sWgY4WIAeiOOfozYabaEW4EMu1GLDYPD7jJbtljD0of4LUe7yJ0oH7f1EeU/54kPa rrR8SK2AIROUUXS6cpS+RV9SzjD+Q6eztaDBiZRrEKdB1AaOBg4HnQZG43mCWJMGM2HbIKKgEQCd 3BBm0SKAxaSW7mGhiHKoXR6P8SIb/KBcItjMDp+prAG31BAMIBLyxPY45qCOmA04BNk8F286i5j+ 7vOQzq93cLu4t+L/wPjYWbiJ6vjCkXSJjUuUMBSJ6xFtUg+1cBKEh4egiAyigXLoiy3XK7vxLOpH oSyoL8DbEIj4+PJv6B+VMfzOuG0/9zm4OjCQiOGIldwwghgtlci0WkJSD/Ec09n6vAmylMlzk6zD SCAvjyKp76g4QX1nPN7R4Ew4gp4kCec4uQzrMCwbX5aOz1QfV19hOmAlfZ5byvdBhqxHwWwZIT0M GAf02PGUwUNJzHNZ2bO04b6eZUt7uBPLeu5rWNaDjSmGB8LC/VwTfo/AfH2c8jWSN22S5byTP+/U 6RDZyQn147wLO+n3fQit7lywduF33pdVMC5reH6YPj5YECvzhw8PF2QND1/JE32V8Dv5JPjCNli8 iRGP1eKxEK/kMKbGHA6vgA09QXfQYsn0+fz+pIPpOfGCHHVvFScL2EljRF0htzIGkp9P4aKrEQU1 3ItBTKIig4ZXzt2EgaW4y0OzhZz80rHXXF9Qq0zSZRYUjymqaFlVLnaOSF6Ql5rEF40JljRUTP7R rA/LRgVLGisaHhoSiDDVCroCudEmjNWM00cmfUxkGgRAXnPQlBgXG4+KBwE52OHtBC3o/Epu+bSx 8CU6PQtuMumHzA2WLJnzMdqbyW+lFWp7WcfB7JMR67hxiPsIMR3a/acz1YCa0LD2/+pQNb81K7ty xpCF4ZkrKhqfAA/dkOeNaDsJpbmRXLdNtME3IskWie/BaUhHj4laO1LlVN0ZCfuqnODuSNUJHZIm NVUjwzQkogvsaCc70YPYgtxPwXl1p4rFF1iwTz03fDWuEFKjDa4kP4uMWB0i2+SrOXfu6JYtrz/3 ALwI98yis3TdgQP8rt1xjlN2Z7x3cfeWaZOUt2Tb5cHz1PUDNj5MjTh7P5QUQhaK4X9kFBtiycUi Dplj18x8UKsdZrO5HQ7fQbd6zuiKMDDHjoUhMUY4dmKeevIhsRPAGJG4MSxvcHMAt8yUu7acG5M/ eWxk1ub4yxWU5hYUhyMz8xZ9llmzUm+SIsFxpctvXLFvyIjK5Zyk04hFOYXTVtVENs5V1wiTCDJQ r/6mRS1/72sWrnisHyNk5dtfrPzQL1V+6Pcp2f/Nb1HYL0/KcO5rKjTBdPUXHdeRmfi/IcrJ9WQ2 /oeICjKHVJIbSRWpRsxuLn4rHSUryK2kk9xDjuDX08fISfwWmkmzDYl9JIyQzKoun1NdHpiybMWK GxauYj/d/r/ST2NzCmVuZHN0cmVhbQplbmRvYmoKMTIxIDAgb2JqCjEyNTQ4CmVuZG9iagoxMjIg MCBvYmoKPDwgL1R5cGUgL0ZvbnREZXNjcmlwdG9yIC9Bc2NlbnQgOTE4IC9DYXBIZWlnaHQgNjg3 IC9EZXNjZW50IC0yMzAgL0ZsYWdzIDMyCi9Gb250QkJveCBbLTU2OCAtMjMxIDEwNzAgOTI2XSAv Rm9udE5hbWUgL09ZUFVZUCtHaWxsU2FucyAvSXRhbGljQW5nbGUgMCAvU3RlbVYKOTggL0F2Z1dp ZHRoIDUyOCAvTWF4V2lkdGggMTA4OCAvU3RlbUggOTAgL1hIZWlnaHQgNDUwIC9Gb250RmlsZTIg MTIwIDAgUgo+PgplbmRvYmoKMTIzIDAgb2JqClsgMjc4IDAgMCAwIDAgMCAwIDAgMzIzIDMyMyAw IDU4NCAyMTkgMzIzIDIxOSAyODEgNTAwIDUwMCA1MDAgNTAwIDUwMCA1MDAKNTAwIDUwMCA1MDAg NTAwIDIxOSAwIDAgMCAwIDMzMyAxMDEwIDY2NyA1NjMgNzA4IDc1MCA1MDAgNDY5IDc0MCA3Mjkg MjUwIDAKNjU2IDQ5MCA3ODEgNzgxIDgyMyA1MTAgODIzIDYwNCA0NTggNjA0IDcwOCA2MDQgMTA0 MiAwIDAgMCAwIDAgMCAwIDAgMCA0MjcKNTAwIDQzOCA1MTAgNDc5IDI1MCA0MjcgNTAwIDIxOSAy MTkgNDc5IDIxOSA3NzEgNTAwIDU1MiA1MDAgNTAwIDM5NiAzODUgMzMzCjUwMCA0MzggNzE5IDUw MCA0MzggNDE3IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDQyNyAwIDAgMCAwIDAgMCAw IDAKMCAwIDAgMCAwIDAgMCA1NTIgMCAwIDAgMCAwIDAgMCAwIDAgMCAzNTQgMCAwIDAgMCAwIDAg MCAwIDAgMCAwIDAgMCAwIDAgMAowIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw IDAgMCAwIDAgMCAwIDAgMCAwIDQyNyAwIDIxOSAyMTkgMCAwCjAgMCAwIDAgMCAwIDUwMCAwIDAg MCAwIDQ0OCBdCmVuZG9iago4IDAgb2JqCjw8IC9UeXBlIC9Gb250IC9TdWJ0eXBlIC9UcnVlVHlw ZSAvQmFzZUZvbnQgL09ZUFVZUCtHaWxsU2FucyAvRm9udERlc2NyaXB0b3IKMTIyIDAgUiAvV2lk dGhzIDEyMyAwIFIgL0ZpcnN0Q2hhciAzMiAvTGFzdENoYXIgMjI3IC9FbmNvZGluZyAvTWFjUm9t YW5FbmNvZGluZwo+PgplbmRvYmoKMTI0IDAgb2JqCjw8IC9MZW5ndGggMTI1IDAgUiAvTGVuZ3Ro MSAzOTA4IC9GaWx0ZXIgL0ZsYXRlRGVjb2RlID4+CnN0cmVhbQp4Aa1Xe2wUxxn/ZtePs7Hv1o87 bNb27mUxrztjYwgYipoL96DIaWqwgV0gzZ25c86OgSuYlEZCNrIshzWUIBrzKAmEpukDJMYRag5o U9OqaqMqIlL/6D+VoqppqkgJTatQVaSF/mbvbENKEypldn/zPWfm22++Xe0M7N6bojIaIplC23ck MuQ09wBI3fZnBvScXBAnYu/1ZJ7akZOLvkLkaniq/1s9Odl9AjSeTiWSOZn+Bbo8DUVOZstA56Z3 DOzLye40aFn/ru15u/t5yK4diX359ekPkPWdiR2pnL9HB52b2bVHxIXm/ie6BZndqbw/M4nkImHp eLFFFtRpDL1MnVRMESogiRRqph8TSRdcDdAzXHgsou+8o4Se9Ky+yVSXM+z8vhqH/uKn2rlP9t6e 7zpSLOItcfyFBWOKzdsLEPIl2C+5jkxbnHHo5CydDWRpPBC6FL+euS7F38q8JSl/ZWdusJYbF29I 9CFr+QtT3mXx37Ij11jLtY5rmWuyMsnik5lJqfnqI1e/dlWmy8plyfO69rr0t2FD+2i4WvvzcIv2 R+CXw0nt2NFW7YXx1dqZ8YvjPx+XR4dbtRHg/QNLtIv7G7Q3B5Par4E3flauvXOgVTsAfv9gqzY8 WKdlBpkyyAcnB+WOQdawz1f/TV/dMz51r2/OgK92jy/jy7ooVFPfv8s3u65/12y1f1ft0zt96tM7 B3fP6asWxjv1Pb3V3rqeXq/a01ubSlerqfTIN+acDN/yHweOAUeBw8AYcBAYBUaAYeAAMAjsB1pP bnNpx59waS8Ax8AfBQ5vdmljwEFg1HRpI8AwcADyILAf2J5wad1A6xNbXdo2wNzk0jYDiY0uLQ60 bkW3CVBXeGuWe70PeyuXeT1LvWWt3pIl3qIWr9zspcXeYJNnUcC9YKFn3nz33EbPQ4Zb93saNLda V19eUzun3OubXV5ZVV3uUSrKysrdZSWls8pCDUXFrjK5oLCMmFSmfsmleVa5NHmlS6M2l9axlPHK dmrvWsOrGGjnGr400I68beCtgXZe1LHVnGDs2xa0XHouy6iLFzyXlUAqw1u2mllWK8wjKkTzMjE2 NHJYzVPLCtTzZHunyTP1Fm8VzPP1FgU+p7GA48ICORoAk2/3GzpjhROvEcusyblPlIgHSG5Ys3dg z9QMoFP8HrQBXKLtBYgK91L1VD/1csxQ+YSwEt35YKYX3O2Fov9imninc+/1FzPfA89yHZ6/AbJ5 XPkfI9+A/jLwCp0AkLP/o31MH097n6JTtA3XflyP0WNSn3SehqVbcoSO0E/w3dtGp+ka5n+f9kgZ usI2scX0O1yHhD+T6CylaUC6QC8JSs9Kv6cM/YrO0zmpW3pcctM4+xN7DSPH5Z3SQemSZErlUilG cVpEFFq1sm3F8oeXLW1d0tK8uCkYWLRwwfx5jXONh/y61lBfp86prZnt81ZXVVYoHnd52azSEldx UWGBLDEKMl4TNidqiwOq3++3mvLynHtlLjcqf/dzqrzHSb3XaaLuU3L9p+SGaflxTtU8ZoQjYuIJ ir3HqYqzak5iFVb1VayUjySa7DOivbw2nIzHMSJiKDqPfdScD8UJeGJWadgIp0qbgjRROgvsLHDw zUyw2JeZw0ix6KoJiVzlTUFeife+MSrQx0NjcTBGBI8OS9WMJXtn8tDdJsKwnBPBzeEYLwrzYmdd vZeHEpzG9IngpH0oq1B3PFCWNJKJbSaXE0jqBMmN0XQXJKwMxNM6L8C6TqdCo0fTug1ZuMXRGxGM uq8e6pKwOeqfdL5Qo1FeEeBrMXLts++qsh2t6dWFaNujOj+73rzb6hc+lmXVNAV1O2pgoUhTMNq3 BpmuaRbpLmjEvS5pRJO9CZ0PdfchN7gTh0Ti/bbCY/9AmphInUAy3ifi7YNvAYhuj6Wc5znkxC8y yqJpbF7i87xsOyoWTSRFKJg5zENdDqGuLSJlehTpjVh5Vd4BlgLHEo9Y2A+xWvsGMwxr1EhEUKei lqc18bwGiuiUURdxruOhONe365w2mAYGt4ku1Ub29jZR65iGNQXbO2ZG8cJGxdDtm8RZ3PjwAxHx jCaR1xQ1KjdJGGNGLG7bMUOP2XE7kb0z1G3oimFPtLfbmWgcq3aYnEF/ZUzlsUMWV+Jptgr7I6ok tsF8RPVX4DlyYseUSCg7FB/KHI+DLOBelyfYC+oy/XqY00bTUpFIU/Bd4HNUFBuKuw11kE+byFFK PCwWEnye9ftFBY9lQ9TdFPTzofVmTtapW32NQs0B7EdcWCanLN6NwjI0ZZkeHjewOZec3zQvd82b vj2KryqaXsWZ7zPMqZydV4VNWZXESwFOUmXBlQbwNVjNZwfALwjY2Ja3Da4EeKE5qa62dKUCXwmx e51G+/otph61p6sgp8k/qSg55W3jTYYvD75LCmernZiY81FCvtZxeXYbjE34qQy2Z6mkI/cLkWV3 RrIRqr+M31P5ya/DfDyo69HeCEoDwokgFIv84E4G9VhuQw1Lt3V7XdLWY3o6kcSuORS1l7KtZmxe p4kXWGwhD1nqNJuyrFWY55SYB0PgbluYoS8/A6ijav43nL4bbEdlz+sw8fYPRVACEQubixKaRK1N ovgtC16npyNFxPt7a/Ixv4iYTy+C/aXcLPjFGcIUlm2LOSFJ87Djtq3aeBJHY/jxD5VXZMnxwUch y0IdpjCFDL8ouajhN/yIw4pg7jPYkqkXCv/q/5VSityV0penA8XIcwjvZSel3/uCUvrKg6T0+w+U 0lenI70npT9AzK+KlP7w/ik1PiOh0xkO3SfDQ7kMD90nwz+6K8PiD4yRtBJnLwAtd/bCGZCKyA3Z j9MZHBxbC4kL/wU4ZcGMk1oxrRBnqSs4xBGdxLmqQLkCdaHDywrda5AwSDhJSssSf4W/ohEdg+7W UCF9IiiBya9Fd3oof4Z11p7pxClSogvoGVUCohWRh2jzo5vXbN4UWNvb39+Z2Cl+1/4DfJqm8gpl bmRzdHJlYW0KZW5kb2JqCjEyNSAwIG9iagoyMjQwCmVuZG9iagoxMjYgMCBvYmoKPDwgL1R5cGUg L0ZvbnREZXNjcmlwdG9yIC9Bc2NlbnQgOTE4IC9DYXBIZWlnaHQgNjg3IC9EZXNjZW50IC0yMzAg L0ZsYWdzIDQKL0ZvbnRCQm94IFstNTY4IC0yMzEgMTA3MCA5MjZdIC9Gb250TmFtZSAvV0FXQldW K0dpbGxTYW5zIC9JdGFsaWNBbmdsZSAwIC9TdGVtVgo5OCAvQXZnV2lkdGggNTI4IC9NYXhXaWR0 aCAxMDg4IC9TdGVtSCA5MCAvWEhlaWdodCA0NTAgL0ZvbnRGaWxlMiAxMjQgMCBSCj4+CmVuZG9i agoxMjcgMCBvYmoKWyAyNzggMjc4IF0KZW5kb2JqCjEyOCAwIG9iago8PCAvTGVuZ3RoIDEyOSAw IFIgL0ZpbHRlciAvRmxhdGVEZWNvZGUgPj4Kc3RyZWFtCngBXZDBasQgEIbvPsUcdw9LTG4FEcqW hRzaLU37AEYnqdCoTMwhb191JYUeZsCZ/xv/mebav/TORmjeyesBI0zWGcLVb6QRRpytY20HxupY X6WmFxVYk+BhXyMuvZs8CMEAmo+ErJF2OD0bP+I51+5kkKyb4fR1HUpl2EL4wQVdBM6kBINTGveq wptaEJqCXnqT+jbul0T9KT73gJAcJaJ9WNLe4BqURlJuRiY4l+J2kwyd+deqwDjpb0VMdK0UwDl/ yknlZKBgVXDI6+CukyJHEvOqe3TyT/kixwZ6I0rmy9nKXtmvdXhcNviQ/ZX4BTLifT8KZW5kc3Ry ZWFtCmVuZG9iagoxMjkgMCBvYmoKMjQ0CmVuZG9iago5IDAgb2JqCjw8IC9UeXBlIC9Gb250IC9T dWJ0eXBlIC9UcnVlVHlwZSAvQmFzZUZvbnQgL1dBV0JXVitHaWxsU2FucyAvRm9udERlc2NyaXB0 b3IKMTI2IDAgUiAvV2lkdGhzIDEyNyAwIFIgL0ZpcnN0Q2hhciAzMyAvTGFzdENoYXIgMzQgL1Rv VW5pY29kZSAxMjggMCBSID4+CmVuZG9iagoxMzAgMCBvYmoKKFNlcWFuX1JldHJlYXQyMDEwKQpl bmRvYmoKMTMxIDAgb2JqCihNYWMgT1MgWCAxMC42LjQgUXVhcnR6IFBERkNvbnRleHQpCmVuZG9i agoxMzIgMCBvYmoKKE1hbnVlbCBIb2x0Z3Jld2UpCmVuZG9iagoxMzMgMCBvYmoKKFBhZ2VzKQpl bmRvYmoKMTM0IDAgb2JqCihEOjIwMTAwNzI3MTEyMzA0WjAwJzAwJykKZW5kb2JqCjEzNSAwIG9i agooKQplbmRvYmoKMTM2IDAgb2JqClsgXQplbmRvYmoKMSAwIG9iago8PCAvVGl0bGUgMTMwIDAg UiAvQXV0aG9yIDEzMiAwIFIgL1Byb2R1Y2VyIDEzMSAwIFIgL0NyZWF0b3IgMTMzIDAgUiAvQ3Jl YXRpb25EYXRlCjEzNCAwIFIgL01vZERhdGUgMTM0IDAgUiAvS2V5d29yZHMgMTM1IDAgUiAvQUFQ TDpLZXl3b3JkcyAxMzYgMCBSID4+CmVuZG9iagp4cmVmCjAgMTM3CjAwMDAwMDAwMDAgNjU1MzUg ZiAKMDAwMDMxMDc0MCAwMDAwMCBuIAowMDAwMDA1OTE2IDAwMDAwIG4gCjAwMDAyODQ2MDIgMDAw MDAgbiAKMDAwMDAwMDAyMiAwMDAwMCBuIAowMDAwMDA1ODk2IDAwMDAwIG4gCjAwMDAwMDYwMzUg MDAwMDAgbiAKMDAwMDE0MjQzMSAwMDAwMCBuIAowMDAwMzA3MTkwIDAwMDAwIG4gCjAwMDAzMTAz NDAgMDAwMDAgbiAKMDAwMDEyMzY5MSAwMDAwMCBuIAowMDAwMTM1NjkxIDAwMDAwIG4gCjAwMDAw MDc3MzMgMDAwMDAgbiAKMDAwMDA5MTg5MiAwMDAwMCBuIAowMDAwMTQ3MzkzIDAwMDAwIG4gCjAw MDAyOTM1MjYgMDAwMDAgbiAKMDAwMDE0NzQzMCAwMDAwMCBuIAowMDAwMTQxNTY2IDAwMDAwIG4g CjAwMDAwMDY4MjIgMDAwMDAgbiAKMDAwMDAwNzcxMyAwMDAwMCBuIAowMDAwMDA2NDEyIDAwMDAw IG4gCjAwMDAwMDY3MTIgMDAwMDAgbiAKMDAwMDAwNjczMSAwMDAwMCBuIAowMDAwMDA2MzY0IDAw MDAwIG4gCjAwMDAyODU1NDQgMDAwMDAgbiAKMDAwMDI4NTMzNSAwMDAwMCBuIAowMDAwMjg1MTY3 IDAwMDAwIG4gCjAwMDAyODQ5NDQgMDAwMDAgbiAKMDAwMDEzODUyMiAwMDAwMCBuIAowMDAwMTM4 NTcwIDAwMDAwIG4gCjAwMDAxMzg2MTggMDAwMDAgbiAKMDAwMDEzODY2NCAwMDAwMCBuIAowMDAw MDkxOTE0IDAwMDAwIG4gCjAwMDAxMjM2NjkgMDAwMDAgbiAKMDAwMDEzNjE2MyAwMDAwMCBuIAow MDAwMTM4MDgzIDAwMDAwIG4gCjAwMDAxNTAyMjQgMDAwMDAgbiAKMDAwMDEzNTcxMyAwMDAwMCBu IAowMDAwMTM2MTQzIDAwMDAwIG4gCjAwMDAxNDY0OTYgMDAwMDAgbiAKMDAwMDEzODEwNCAwMDAw MCBuIAowMDAwMTM4NTAyIDAwMDAwIG4gCjAwMDAxNTExMjEgMDAwMDAgbiAKMDAwMDEzODgzMCAw MDAwMCBuIAowMDAwMTQxNTQ1IDAwMDAwIG4gCjAwMDAxNDE2MDMgMDAwMDAgbiAKMDAwMDE0MjQx MSAwMDAwMCBuIAowMDAwMTQyNDY3IDAwMDAwIG4gCjAwMDAxNDY0NzUgMDAwMDAgbiAKMDAwMDE0 NjUzMyAwMDAwMCBuIAowMDAwMTQ3MzczIDAwMDAwIG4gCjAwMDAyODQ3NjUgMDAwMDAgbiAKMDAw MDE0NzQ4OCAwMDAwMCBuIAowMDAwMTUwMjAzIDAwMDAwIG4gCjAwMDAxNTAyNjEgMDAwMDAgbiAK MDAwMDE1MTEwMSAwMDAwMCBuIAowMDAwMTU3NTEzIDAwMDAwIG4gCjAwMDAxNTExNTggMDAwMDAg biAKMDAwMDE1NzQ5MiAwMDAwMCBuIAowMDAwMTU3NjIwIDAwMDAwIG4gCjAwMDAyMDQ5NzcgMDAw MDAgbiAKMDAwMDIyMDMzOSAwMDAwMCBuIAowMDAwMTg4MTMxIDAwMDAwIG4gCjAwMDAxOTQ4ODAg MDAwMDAgbiAKMDAwMDE2MzEwMCAwMDAwMCBuIAowMDAwMTY3NjI0IDAwMDAwIG4gCjAwMDAyMDAx MzUgMDAwMDAgbiAKMDAwMDIwNDk1NiAwMDAwMCBuIAowMDAwMTcyMDAzIDAwMDAwIG4gCjAwMDAx Nzc1MDYgMDAwMDAgbiAKMDAwMDE5NDkwMSAwMDAwMCBuIAowMDAwMjAwMTE0IDAwMDAwIG4gCjAw MDAyMjAzNjEgMDAwMDAgbiAKMDAwMDIyNDk0MiAwMDAwMCBuIAowMDAwMTY3NjQ1IDAwMDAwIG4g CjAwMDAxNzE5ODIgMDAwMDAgbiAKMDAwMDE3NzUyNyAwMDAwMCBuIAowMDAwMTg0MzAwIDAwMDAw IG4gCjAwMDAxNTc5MzMgMDAwMDAgbiAKMDAwMDE2MzA3OSAwMDAwMCBuIAowMDAwMTg0MzIxIDAw MDAwIG4gCjAwMDAxODgxMTAgMDAwMDAgbiAKMDAwMDI0Mjk2MCAwMDAwMCBuIAowMDAwMjI1ODQ3 IDAwMDAwIG4gCjAwMDAyMjYxMzEgMDAwMDAgbiAKMDAwMDI0MjQyNyAwMDAwMCBuIAowMDAwMjI0 OTYzIDAwMDAwIG4gCjAwMDAyMjUyNDQgMDAwMDAgbiAKMDAwMDIyNTI2MyAwMDAwMCBuIAowMDAw MjI1NTIyIDAwMDAwIG4gCjAwMDAyMjU1NDEgMDAwMDAgbiAKMDAwMDIyNTgyOCAwMDAwMCBuIAow MDAwMjI2MTUwIDAwMDAwIG4gCjAwMDAyMzk0MTggMDAwMDAgbiAKMDAwMDIzOTQ0MCAwMDAwMCBu IAowMDAwMjM5NjcyIDAwMDAwIG4gCjAwMDAyMzk2OTEgMDAwMDAgbiAKMDAwMDI0MjQwNiAwMDAw MCBuIAowMDAwMjQyNDY0IDAwMDAwIG4gCjAwMDAyNDI5NDAgMDAwMDAgbiAKMDAwMDI0ODAwNCAw MDAwMCBuIAowMDAwMjQyOTk3IDAwMDAwIG4gCjAwMDAyNDc5ODIgMDAwMDAgbiAKMDAwMDI0ODEx NCAwMDAwMCBuIAowMDAwMjQ4MzU5IDAwMDAwIG4gCjAwMDAyODQ0ODQgMDAwMDAgbiAKMDAwMDI4 NDUwNyAwMDAwMCBuIAowMDAwMjg0NTUzIDAwMDAwIG4gCjAwMDAyODQ3MDAgMDAwMDAgbiAKMDAw MDI4NDkyNCAwMDAwMCBuIAowMDAwMjg1MDU0IDAwMDAwIG4gCjAwMDAyODUxMTIgMDAwMDAgbiAK MDAwMDI4NTI3NyAwMDAwMCBuIAowMDAwMjg1NDQ3IDAwMDAwIG4gCjAwMDAyODU1MDUgMDAwMDAg biAKMDAwMDI4NTY1NiAwMDAwMCBuIAowMDAwMjg1NzE0IDAwMDAwIG4gCjAwMDAyOTI3MTggMDAw MDAgbiAKMDAwMDI5Mjc0MCAwMDAwMCBuIAowMDAwMjkyOTk3IDAwMDAwIG4gCjAwMDAyOTM3MDcg MDAwMDAgbiAKMDAwMDMwNjM0OCAwMDAwMCBuIAowMDAwMzA2MzcxIDAwMDAwIG4gCjAwMDAzMDY2 MjEgMDAwMDAgbiAKMDAwMDMwNzM2NSAwMDAwMCBuIAowMDAwMzA5Njk3IDAwMDAwIG4gCjAwMDAz MDk3MTkgMDAwMDAgbiAKMDAwMDMwOTk2OCAwMDAwMCBuIAowMDAwMzA5OTk3IDAwMDAwIG4gCjAw MDAzMTAzMTkgMDAwMDAgbiAKMDAwMDMxMDUwNSAwMDAwMCBuIAowMDAwMzEwNTQyIDAwMDAwIG4g CjAwMDAzMTA1OTUgMDAwMDAgbiAKMDAwMDMxMDYzMSAwMDAwMCBuIAowMDAwMzEwNjU2IDAwMDAw IG4gCjAwMDAzMTA2OTkgMDAwMDAgbiAKMDAwMDMxMDcxOSAwMDAwMCBuIAp0cmFpbGVyCjw8IC9T aXplIDEzNyAvUm9vdCAxMDggMCBSIC9JbmZvIDEgMCBSIC9JRCBbIDxkNTk2YzU3NTRiNDJiMGZi NDRjNzdjNmYwYjZjZjljYz4KPGQ1OTZjNTc1NGI0MmIwZmI0NGM3N2M2ZjBiNmNmOWNjPiBdID4+ CnN0YXJ0eHJlZgozMTA5MDcKJSVFT0YK --Apple-Mail-55-178874587 Content-Transfer-Encoding: 7bit Content-Type: text/html; charset=us-ascii --Apple-Mail-55-178874587-- --Apple-Mail-54-178874587-- --Apple-Mail-56-178874630 Content-Disposition: attachment; filename="smime.p7s" Content-Type: application/pkcs7-signature; name="smime.p7s" Content-Transfer-Encoding: base64 MIAGCSqGSIb3DQEHAqCAMIACAQExCzAJBgUrDgMCGgUAMIAGCSqGSIb3DQEHAQAAoIIF+jCCBfYw ggTeoAMCAQICBA4+Vb4wDQYJKoZIhvcNAQEFBQAwgbUxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZC ZXJsaW4xDzANBgNVBAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxp bjEOMAwGA1UECxMFWkVEQVQxMDAuBgNVBAMTJ0ZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4gLSBG VS1DQSAtIEcwMTEeMBwGCSqGSIb3DQEJARYPY2FARlUtQmVybGluLkRFMB4XDTA5MDUyODE4MzAw NloXDTEyMDUyNzE4MzAwNlowgZoxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZCZXJsaW4xDzANBgNV BAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxpbjEuMCwGA1UECxMl RmFjaGJlcmVpY2ggTWF0aGVtYXRpayB1bmQgSW5mb3JtYXRpazEVMBMGA1UEAxMMS251dCBSZWlu ZXJ0MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA1KhJct0+8zA+Rpez11JSOVahqmh2 YJ8TWWVIvxERJPkUUgz+M4u4mEk3fr4oayj2KC5MoT8sHRbcIw4pEnN1NP3a9tWJZhXbInsR0eWM 5s6LXaLEHbczNg+V4xaFzAm6JR1sJ5h6LDWqmh2lmUoJE9l1ypydet5rf6Qnvbkys4Xwg4Dp4f89 uAZznbpo36FgDqS848FzIRW6wvzatFtVxYiQ/zpRggWLYNRIWx9jZi5A9LrFq79Cx6h7bWU13hpW u8QT2yE1cfRnTw2lvNXdKQDmNVHtVub7CHdG3voeJiiFvApgPkSbGDi1nXMtVePb/1xd5CFMMoqw IwH44W2KVwIDAQABo4ICJTCCAiEwCQYDVR0TBAIwADALBgNVHQ8EBAMCBeAwKQYDVR0lBCIwIAYI KwYBBQUHAwIGCCsGAQUFBwMEBgorBgEEAYI3FAICMB0GA1UdDgQWBBQf3YyAtgT64FlT3cbKq7WM Zsg64DAfBgNVHSMEGDAWgBQG4T30b/Qwt3o7V7AxBYl7DVhabDCBkQYDVR0RBIGJMIGGgRlrbnV0 LnJlaW5lcnRAZnUtYmVybGluLmRlgRdyZWluZXJ0QG1pLmZ1LWJlcmxpbi5kZYEYcmVpbmVydEBp bmYuZnUtYmVybGluLmRlgRtyZWluZXJ0QGNhbXB1cy5mdS1iZXJsaW4uZGWBGUtudXQuUmVpbmVy dEBmdS1iZXJsaW4uZGUwdQYDVR0fBG4wbDA0oDKgMIYuaHR0cDovL2NkcDEucGNhLmRmbi5kZS9m dS1jYS9wdWIvY3JsL2NhY3JsLmNybDA0oDKgMIYuaHR0cDovL2NkcDIucGNhLmRmbi5kZS9mdS1j YS9wdWIvY3JsL2NhY3JsLmNybDCBkAYIKwYBBQUHAQEEgYMwgYAwPgYIKwYBBQUHMAKGMmh0dHA6 Ly9jZHAxLnBjYS5kZm4uZGUvZnUtY2EvcHViL2NhY2VydC9jYWNlcnQuY3J0MD4GCCsGAQUFBzAC hjJodHRwOi8vY2RwMi5wY2EuZGZuLmRlL2Z1LWNhL3B1Yi9jYWNlcnQvY2FjZXJ0LmNydDANBgkq hkiG9w0BAQUFAAOCAQEAekvz2kbo9rxQsMh1ETLQMyFUoo4Dcm4FEXXvAl0k9jXCmq+6kcctkRFY 8Adm3GJ0QHvvTzd9X/fNUKw76Yr31QkczMfLz+9aJjNvro7EfKXsPGQI/ODiUuxR8Q8cOYYsmZqB R2PFZCHfWwN4IyNoPHeBySlguxjNSVXQ5+xMEzuEc/7iNW2MjaX5VjRah9zuP6iJpqgnSkJ6ttYl a+8vhNQ1e/Cx8k+FFF7w+7nF+dZLWhGuylJEjPpBdGjh16BtHWA6AsInAek8xzJyIloXa20jebAo Nx4RdQ6LjaqovFMQWanCXWzOUWpH1BvZ9NPXNDnCgkOqJCClqM3pZHLzxDGCA+0wggPpAgEBMIG+ MIG1MQswCQYDVQQGEwJERTEPMA0GA1UECBMGQmVybGluMQ8wDQYDVQQHEwZCZXJsaW4xIjAgBgNV BAoTGUZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4xDjAMBgNVBAsTBVpFREFUMTAwLgYDVQQDEydG cmVpZSBVbml2ZXJzaXRhZXQgQmVybGluIC0gRlUtQ0EgLSBHMDExHjAcBgkqhkiG9w0BCQEWD2Nh QEZVLUJlcmxpbi5ERQIEDj5VvjAJBgUrDgMCGgUAoIICAzAYBgkqhkiG9w0BCQMxCwYJKoZIhvcN AQcBMBwGCSqGSIb3DQEJBTEPFw0xMDA5MDIxMTU5MTJaMCMGCSqGSIb3DQEJBDEWBBSv2nTkaVVt qo3GXE+5fLqlQQMAaDCBzwYJKwYBBAGCNxAEMYHBMIG+MIG1MQswCQYDVQQGEwJERTEPMA0GA1UE CBMGQmVybGluMQ8wDQYDVQQHEwZCZXJsaW4xIjAgBgNVBAoTGUZyZWllIFVuaXZlcnNpdGFldCBC ZXJsaW4xDjAMBgNVBAsTBVpFREFUMTAwLgYDVQQDEydGcmVpZSBVbml2ZXJzaXRhZXQgQmVybGlu IC0gRlUtQ0EgLSBHMDExHjAcBgkqhkiG9w0BCQEWD2NhQEZVLUJlcmxpbi5ERQIEDj5VvjCB0QYL KoZIhvcNAQkQAgsxgcGggb4wgbUxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZCZXJsaW4xDzANBgNV BAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxpbjEOMAwGA1UECxMF WkVEQVQxMDAuBgNVBAMTJ0ZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4gLSBGVS1DQSAtIEcwMTEe MBwGCSqGSIb3DQEJARYPY2FARlUtQmVybGluLkRFAgQOPlW+MA0GCSqGSIb3DQEBAQUABIIBAK+0 ZtOqt5dGpyIXWP2i0gp7r7OzzfsDDyjQ8rcDQjhcoCtJwwiIYhUgJEdNVX1Tu+COBzR1aA8duib5 OUZn6DL8+jyA/wLwL0zaDwH/GUCn/lCo+Q5NsKuWBxgyO9a/amSrZ66WHxy63XS+2M82N+tLGCGG 2uF68xlkdyqngjComsISqfzh7UTgqxc3WNqaOyF0LvKRykQzrz4SsIbsa1pI/YiAZQYXvPvD80SH H8cEYA/pzgNp9R8Gk/xy3huMe0HiUJRIB10ZR2w2b9D92jMqgcir19EiTTWuFGTFcp9W5Cw+w/Xz z7TwCD10tnO1OlRzJUZseVBXHfHzSOgVJUsAAAAAAAA= --Apple-Mail-56-178874630-- From manuel.holtgrewe@fu-berlin.de Thu Sep 02 14:07:50 2010 Received: from outpost1.zedat.fu-berlin.de ([130.133.4.66]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Or8a5-0003bl-Ph>; Thu, 02 Sep 2010 14:07:49 +0200 Received: from relay2.zedat.fu-berlin.de ([130.133.4.80]) by outpost1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Or8a5-00010D-NZ>; Thu, 02 Sep 2010 14:07:49 +0200 Received: from exchange6.fu-berlin.de ([160.45.9.133]) by relay2.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Or8a5-000080-Hr>; Thu, 02 Sep 2010 14:07:49 +0200 Received: from exchange6.fu-berlin.de ([160.45.9.133]) by exchange6.fu-berlin.de ([160.45.9.133]) with mapi; Thu, 2 Sep 2010 14:06:56 +0200 From: "Holtgrewe, Manuel" To: SeqAn Development Date: Thu, 2 Sep 2010 14:07:48 +0200 Thread-Topic: [Seqan-dev] StringSet container swap Thread-Index: ActKl1Zpf/63MJfCTteTXgLmw+g94g== Message-ID: <8554C728-2A15-4DCC-A69F-A9797B77C89F@fu-berlin.de> References: <4C7F8EEA.6040203@in.tum.de> In-Reply-To: <4C7F8EEA.6040203@in.tum.de> Accept-Language: en-US, de-DE Content-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: acceptlanguage: en-US, de-DE Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 X-Originating-IP: 160.45.9.133 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283429269-00000C0F-57F09849/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000000, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Gabun.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-2.8 required=5.0 tests=ALL_TRUSTED Subject: Re: [Seqan-dev] StringSet container swap X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 02 Sep 2010 12:07:51 -0000 Hi Tilo, there are move() functions for Seqan strings that allow to destructively as= sign a string to another. This could of course be implemented for string se= ts as well, following the strategies of the move() for strings. You could add a ticket to implement this functionality to Seqan. The fastes= t way to get this into Seqan would be if you provided your implementation a= nd tests in an attachment to the ticket. Bests, Manuel Am 02.09.2010 um 13:47 schrieb Tilo Ei=DFler: > Hello, >=20 > I've got a question about the StringSet container. Is there a way to > swap the contents of two StringSets similar to using the swap method for > STL-containers? > I'm using the latest svn-version of seqan but was not able to figure > this out so far. >=20 > Thanks for your help and best regards, >=20 > Tilo >=20 > _______________________________________________ > seqan-dev mailing list > seqan-dev@lists.fu-berlin.de > https://lists.fu-berlin.de/listinfo/seqan-dev From eissler@in.tum.de Fri Sep 03 09:57:22 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OrR9F-0000JH-8P>; Fri, 03 Sep 2010 09:57:21 +0200 Received: from mail-out1.informatik.tu-muenchen.de ([131.159.0.8]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OrR9F-000516-5Z>; Fri, 03 Sep 2010 09:57:21 +0200 Received: from [131.159.35.8] (unknown [131.159.35.8]) (using TLSv1 with cipher AES256-SHA (256/256 bits)) (No client certificate requested) by mail.in.tum.de (Postfix) with ESMTP id C56C5BC21 for ; Fri, 3 Sep 2010 09:57:15 +0200 (CEST) Message-ID: <4C80AA5A.1020707@in.tum.de> Date: Fri, 03 Sep 2010 09:57:14 +0200 From: =?ISO-8859-1?Q?Tilo_Ei=DFler?= User-Agent: Mozilla/5.0 (X11; U; Linux x86_64; de-DE; rv:1.9.1.11) Gecko/20100713 Lightning/1.0b1 Thunderbird/3.0.6 MIME-Version: 1.0 To: seqan-dev@lists.fu-berlin.de References: <4C7F8EEA.6040203@in.tum.de> <8554C728-2A15-4DCC-A69F-A9797B77C89F@fu-berlin.de> In-Reply-To: <8554C728-2A15-4DCC-A69F-A9797B77C89F@fu-berlin.de> Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: 8bit X-Virus-Scanned: ClamAV using ClamSMTP X-Originating-IP: 131.159.0.8 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283500641-00000C0F-C988F695/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000012, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Benin.ZEDAT.-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=0.8 required=5.0 tests=RATWARE_GECKO_BUILD Subject: Re: [Seqan-dev] StringSet container swap X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 03 Sep 2010 07:57:22 -0000 Hi Manuel, thank you very much for your suggestion. The move() functions indeed solved one of my issues or at least made the code nicer avoiding unnecessary copying of data. Anyways, a swap function would still be nice for me. I will create a ticket as you suggested. Best regards Tilo Am 02.09.2010 14:07, schrieb Holtgrewe, Manuel: > Hi Tilo, > > there are move() functions for Seqan strings that allow to destructively assign a string to another. This could of course be implemented for string sets as well, following the strategies of the move() for strings. > > You could add a ticket to implement this functionality to Seqan. The fastest way to get this into Seqan would be if you provided your implementation and tests in an attachment to the ticket. > > Bests, > Manuel > > Am 02.09.2010 um 13:47 schrieb Tilo Ei�ler: > >> Hello, >> >> I've got a question about the StringSet container. Is there a way to >> swap the contents of two StringSets similar to using the swap method for >> STL-containers? >> I'm using the latest svn-version of seqan but was not able to figure >> this out so far. >> >> Thanks for your help and best regards, >> >> Tilo From eissler@in.tum.de Fri Sep 03 10:24:43 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OrRZi-0001F9-BZ>; Fri, 03 Sep 2010 10:24:42 +0200 Received: from mail-out1.informatik.tu-muenchen.de ([131.159.0.8]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OrRZi-00041P-8k>; Fri, 03 Sep 2010 10:24:42 +0200 Received: from [131.159.35.8] (unknown [131.159.35.8]) (using TLSv1 with cipher AES256-SHA (256/256 bits)) (No client certificate requested) by mail.in.tum.de (Postfix) with ESMTP id A9BD2D0D5 for ; Fri, 3 Sep 2010 10:24:41 +0200 (CEST) Message-ID: <4C80B0C8.6000806@in.tum.de> Date: Fri, 03 Sep 2010 10:24:40 +0200 From: =?ISO-8859-1?Q?Tilo_Ei=DFler?= User-Agent: Mozilla/5.0 (X11; U; Linux x86_64; de-DE; rv:1.9.1.11) Gecko/20100713 Lightning/1.0b1 Thunderbird/3.0.6 MIME-Version: 1.0 To: seqan-dev@lists.fu-berlin.de References: <4C7F8EEA.6040203@in.tum.de> <8554C728-2A15-4DCC-A69F-A9797B77C89F@fu-berlin.de> <4C80AA5A.1020707@in.tum.de> In-Reply-To: <4C80AA5A.1020707@in.tum.de> Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: 8bit X-Originating-IP: 131.159.0.8 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283502282-00000C0F-B1351A50/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000282, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Benin.ZEDAT.-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=0.8 required=5.0 tests=RATWARE_GECKO_BUILD Subject: Re: [Seqan-dev] StringSet container swap X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 03 Sep 2010 08:24:43 -0000 Hello, I'm very sorry for creating the ticket more than once, but the trac-system does not send any response to the browser (at least for me). Of course I only need the swap function once, not three times or more ;-) Sorry again and best regards, Tilo Am 03.09.2010 09:57, schrieb Tilo Ei�ler: > Hi Manuel, > > thank you very much for your suggestion. The move() functions indeed > solved one of my issues or at least made the code nicer avoiding > unnecessary copying of data. > > Anyways, a swap function would still be nice for me. I will create a > ticket as you suggested. > > Best regards > > Tilo From manuel.holtgrewe@fu-berlin.de Fri Sep 03 10:28:44 2010 Received: from outpost1.zedat.fu-berlin.de ([130.133.4.66]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OrRdb-0001SE-3P>; Fri, 03 Sep 2010 10:28:43 +0200 Received: from relay2.zedat.fu-berlin.de ([130.133.4.80]) by outpost1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OrRdb-0003GO-1P>; Fri, 03 Sep 2010 10:28:43 +0200 Received: from exchange6.fu-berlin.de ([160.45.9.133]) by relay2.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OrRda-0004oM-MD>; Fri, 03 Sep 2010 10:28:43 +0200 Received: from exchange6.fu-berlin.de ([160.45.9.133]) by exchange6.fu-berlin.de ([160.45.9.133]) with mapi; Fri, 3 Sep 2010 10:27:47 +0200 From: "Holtgrewe, Manuel" To: SeqAn Development Date: Fri, 3 Sep 2010 10:28:41 +0200 Thread-Topic: [Seqan-dev] StringSet container swap Thread-Index: ActLQeMy7QuAf7M3TNSRowFHgEQKRA== Message-ID: References: <4C7F8EEA.6040203@in.tum.de> <8554C728-2A15-4DCC-A69F-A9797B77C89F@fu-berlin.de> <4C80AA5A.1020707@in.tum.de> <4C80B0C8.6000806@in.tum.de> In-Reply-To: <4C80B0C8.6000806@in.tum.de> Accept-Language: en-US, de-DE Content-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: acceptlanguage: en-US, de-DE Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 X-Originating-IP: 160.45.9.133 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283502523-00000C0F-423077A3/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000117, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Burundi.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-2.8 required=5.0 tests=ALL_TRUSTED Subject: Re: [Seqan-dev] StringSet container swap X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 03 Sep 2010 08:28:44 -0000 No worries. However, we cannot guarantee for implementing this for the next release. Th= ere are other, more pressing problems to resolve at the moment. :/ Bests, Manuel Am 03.09.2010 um 10:24 schrieb Tilo Ei=DFler: > Hello, >=20 > I'm very sorry for creating the ticket more than once, but the > trac-system does not send any response to the browser (at least for me). > Of course I only need the swap function once, not three times or more ;-) >=20 > Sorry again and best regards, >=20 > Tilo >=20 > Am 03.09.2010 09:57, schrieb Tilo Ei=DFler: >> Hi Manuel, >>=20 >> thank you very much for your suggestion. The move() functions indeed >> solved one of my issues or at least made the code nicer avoiding >> unnecessary copying of data. >>=20 >> Anyways, a swap function would still be nice for me. I will create a >> ticket as you suggested. >>=20 >> Best regards >>=20 >> Tilo >=20 > _______________________________________________ > seqan-dev mailing list > seqan-dev@lists.fu-berlin.de > https://lists.fu-berlin.de/listinfo/seqan-dev From kammermark@gmx.de Sun Sep 05 11:57:51 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OsByv-00029g-Be>; Sun, 05 Sep 2010 11:57:49 +0200 Received: from mailout-de.gmx.net ([213.165.64.23] helo=mail.gmx.net) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with smtp (envelope-from ) id <1OsByv-00069c-5l>; Sun, 05 Sep 2010 11:57:49 +0200 Received: (qmail 19521 invoked by uid 0); 5 Sep 2010 09:57:48 -0000 Received: from 94.216.45.48 by www059.gmx.net with HTTP; Sun, 05 Sep 2010 11:57:45 +0200 (CEST) Content-Type: text/plain; charset="utf-8" Date: Sun, 05 Sep 2010 11:57:45 +0200 From: kammermark@gmx.de Message-ID: <20100905095745.197190@gmx.net> MIME-Version: 1.0 To: seqan-dev@lists.fu-berlin.de X-Authenticated: #8154032 X-Flags: 0001 X-Mailer: WWW-Mail 6100 (Global Message Exchange) X-Priority: 3 X-Provags-ID: V01U2FsdGVkX18vaWA3DC0vUXBwlNaAOqzgVozCavrhfcwBBobE51 popmqE+dM2sLI7MklDHrNffHn9e9Dc22TqLA== Content-Transfer-Encoding: 8bit X-GMX-UID: /xjqI3V1MydhWOc+Fmpl/R1jaGRhZtrM X-FuHaFi: 0.73999999999999999 X-Originating-IP: 213.165.64.23 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283680669-00000C0F-EC0E9B4E/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000001, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Burundi.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=0.2 required=5.0 tests=NO_REAL_NAME,SPF_HELO_PASS, SPF_PASS Subject: [Seqan-dev] HMM Demo mit anderem Alphabet X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 05 Sep 2010 09:57:51 -0000 Hallo zusammen, ich möchte die HMM Demo (graph_hmm.cpp) modifizieren, und zwar möchte ich ein anderes Alphabet benutzen (128 Zustände). Wie kann ich ein neues Alphabet definieren? Viele Grüße, Konstantin -- GMX DSL SOMMER-SPECIAL: Surf & Phone Flat 16.000 für nur 19,99 Euro/mtl.!* http://portal.gmx.net/de/go/dsl From manuel.holtgrewe@fu-berlin.de Sun Sep 05 12:50:44 2010 Received: from outpost1.zedat.fu-berlin.de ([130.133.4.66]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OsCo6-0003p9-O1>; Sun, 05 Sep 2010 12:50:42 +0200 Received: from inpost2.zedat.fu-berlin.de ([130.133.4.69]) by outpost1.zedat.fu-berlin.de (Exim 4.69) with esmtp (envelope-from ) id <1OsCo6-00086C-MF>; Sun, 05 Sep 2010 12:50:42 +0200 Received: from 95-88-84-70-dynip.superkabel.de ([95.88.84.70] helo=[192.168.0.100]) by inpost2.zedat.fu-berlin.de (Exim 4.69) with esmtpsa (envelope-from ) id <1OsCo6-00040t-IV>; Sun, 05 Sep 2010 12:50:42 +0200 Message-Id: From: Manuel Holtgrewe To: SeqAn Development In-Reply-To: <20100905095745.197190@gmx.net> Content-Type: text/plain; charset=ISO-8859-1; format=flowed; delsp=yes Content-Transfer-Encoding: quoted-printable Mime-Version: 1.0 (Apple Message framework v936) Date: Sun, 5 Sep 2010 12:50:41 +0200 References: <20100905095745.197190@gmx.net> X-Mailer: Apple Mail (2.936) X-Originating-IP: 95.88.84.70 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283683842-00000C0F-F2CE225F/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000000, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Botsuana.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-2.8 required=5.0 tests=ALL_TRUSTED Subject: Re: [Seqan-dev] HMM Demo mit anderem Alphabet X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 05 Sep 2010 10:50:44 -0000 Hi Konstantin, we will happily answer your question. However, please =20 post it in English again, so the answer can be useful for a wider =20 audience. Manuel Am 05.09.2010 um 11:57 schrieb kammermark@gmx.de: > Hallo zusammen, > > ich m=F6chte die HMM Demo (graph_hmm.cpp) modifizieren, und zwar =20 > m=F6chte ich ein anderes Alphabet benutzen (128 Zust=E4nde). Wie kann =20= > ich ein neues Alphabet definieren? > Viele Gr=FC=DFe, > > > Konstantin > --=20 > GMX DSL SOMMER-SPECIAL: Surf & Phone Flat 16.000 f=FCr nur 19,99 Euro/=20= > mtl.!* > http://portal.gmx.net/de/go/dsl > > _______________________________________________ > seqan-dev mailing list > seqan-dev@lists.fu-berlin.de > https://lists.fu-berlin.de/listinfo/seqan-dev From kammermark@gmx.de Sun Sep 05 22:43:56 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OsM4B-0005I2-1B>; Sun, 05 Sep 2010 22:43:55 +0200 Received: from mailout-de.gmx.net ([213.165.64.23] helo=mail.gmx.net) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with smtp (envelope-from ) id <1OsM4A-00015m-QM>; Sun, 05 Sep 2010 22:43:54 +0200 Received: (qmail 7986 invoked by uid 0); 5 Sep 2010 20:43:54 -0000 Received: from 94.216.45.48 by www149.gmx.net with HTTP; Sun, 05 Sep 2010 22:43:52 +0200 (CEST) Content-Type: text/plain; charset="utf-8" Date: Sun, 05 Sep 2010 22:43:52 +0200 From: "Klaus Klapperon" In-Reply-To: Message-ID: <20100905204352.143210@gmx.net> MIME-Version: 1.0 References: <20100905095745.197190@gmx.net> To: SeqAn Development X-Authenticated: #8154032 X-Flags: 0001 X-Mailer: WWW-Mail 6100 (Global Message Exchange) X-Priority: 3 X-Provags-ID: V01U2FsdGVkX18CvlYLh8ICMt55n8462liIDRHSjM3utAiccZEhaV aWpKw4gqzcU7unTiBngnAZwbkFgsQR0QcW2A== Content-Transfer-Encoding: 8bit X-GMX-UID: OjexfYRfbUk7IYZYTmgndKBsZ2hlN4o4 X-FuHaFi: 0.75 X-Originating-IP: 213.165.64.23 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283719435-00000C0F-09938B26/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000179, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Dschibuti.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-0.0 required=5.0 tests=SPF_HELO_PASS,SPF_PASS Subject: Re: [Seqan-dev] HMM Demo with modified alphabet X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 05 Sep 2010 20:43:57 -0000 Hello again, I want to create a hidden markov model with an alphabet of (at least) 128 values (it has nothing to do with bioinformatics). I started with the hmm demo (graph_hmm.cpp). But how can I define this new alphabet type? Viele Grüße, Konstantin -- GMX DSL SOMMER-SPECIAL: Surf & Phone Flat 16.000 für nur 19,99 Euro/mtl.!* http://portal.gmx.net/de/go/dsl From manuel.holtgrewe@fu-berlin.de Mon Sep 06 00:59:47 2010 Received: from outpost1.zedat.fu-berlin.de ([130.133.4.66]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OsOBd-00011p-Ed>; Mon, 06 Sep 2010 00:59:45 +0200 Received: from inpost2.zedat.fu-berlin.de ([130.133.4.69]) by outpost1.zedat.fu-berlin.de (Exim 4.69) with esmtp (envelope-from ) id <1OsOBd-0006KT-Ci>; Mon, 06 Sep 2010 00:59:45 +0200 Received: from 95-88-84-70-dynip.superkabel.de ([95.88.84.70] helo=[192.168.0.100]) by inpost2.zedat.fu-berlin.de (Exim 4.69) with esmtpsa (envelope-from ) id <1OsOBd-00027u-5O>; Mon, 06 Sep 2010 00:59:45 +0200 Message-Id: <7152D7C5-6C35-40E5-BDB4-BD97A9467905@fu-berlin.de> From: Manuel Holtgrewe To: SeqAn Development In-Reply-To: <20100905204352.143210@gmx.net> Content-Type: text/plain; charset=ISO-8859-1; format=flowed; delsp=yes Content-Transfer-Encoding: quoted-printable Mime-Version: 1.0 (Apple Message framework v936) Date: Mon, 6 Sep 2010 00:59:44 +0200 References: <20100905095745.197190@gmx.net> <20100905204352.143210@gmx.net> X-Mailer: Apple Mail (2.936) X-Originating-IP: 95.88.84.70 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283727585-00000C0F-1E435792/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.056016, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Benin.ZEDAT.-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-2.8 required=5.0 tests=ALL_TRUSTED Subject: Re: [Seqan-dev] HMM Demo with modified alphabet X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Sun, 05 Sep 2010 22:59:47 -0000 Hi Konstantin (? or Klaus or Mark?) You might want to reconsider whether you want to use the =20 implementation SeqAn. Currently, the HMM specialization of the class =20 Graph assumes that the number of states is fixed at compile time and =20 changes to this would require major changes in the code and any code =20 that uses it. If you want to use this, however, you can simply define the alphabet =20 as a new Simple Type (analogue to TraceBack in module graph_align, for =20= example): struct _MyType; typedef SimpleType MyType; // use unsigned =20 short for > 255 values For this type, you then at least have to specialize the ValueSize<> =20 and BitsPerValue Metafunctions: template <> struct ValueSize { enum { VALUE =3D 128 }; }; template <> struct BitsPerValue { enum { VALUE =3D 7 }; }; // =20= must be ceil(log(value size)) Then, try to parametrize the HMM graph class with this alphabet and =20 add any missing functions, metafunctions and operators for your new =20 alphabet. However, deriving your new type from SimpleType, should =20 automagically use the code for SimpleType that the DNA and Amino Acid =20= alphabets use, too. Cheers, Manuel Am 05.09.2010 um 22:43 schrieb Klaus Klapperon: > Hello again, > > I want to create a hidden markov model with an alphabet of (at =20 > least) 128 values (it has nothing to do with bioinformatics). I =20 > started with the hmm demo (graph_hmm.cpp). But how can I define this =20= > new alphabet type? > Viele Gr=FC=DFe, > > > Konstantin > > --=20 > GMX DSL SOMMER-SPECIAL: Surf & Phone Flat 16.000 f=FCr nur 19,99 Euro/=20= > mtl.!* > http://portal.gmx.net/de/go/dsl > > _______________________________________________ > seqan-dev mailing list > seqan-dev@lists.fu-berlin.de > https://lists.fu-berlin.de/listinfo/seqan-dev From kammermark@gmx.de Mon Sep 06 19:32:22 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OsfYL-00043b-Cp>; Mon, 06 Sep 2010 19:32:21 +0200 Received: from mailout-de.gmx.net ([213.165.64.22] helo=mail.gmx.net) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with smtp (envelope-from ) id <1OsfYL-0008Ux-5d>; Mon, 06 Sep 2010 19:32:21 +0200 Received: (qmail 722 invoked by uid 0); 6 Sep 2010 17:32:20 -0000 Received: from 94.216.45.48 by www157.gmx.net with HTTP; Mon, 06 Sep 2010 19:32:19 +0200 (CEST) Content-Type: text/plain; charset="utf-8" Date: Mon, 06 Sep 2010 19:32:19 +0200 From: kammermark@gmx.de In-Reply-To: <7152D7C5-6C35-40E5-BDB4-BD97A9467905@fu-berlin.de> Message-ID: <20100906173219.228940@gmx.net> MIME-Version: 1.0 References: <20100905095745.197190@gmx.net> <20100905204352.143210@gmx.net> <7152D7C5-6C35-40E5-BDB4-BD97A9467905@fu-berlin.de> To: SeqAn Development X-Authenticated: #8154032 X-Flags: 0001 X-Mailer: WWW-Mail 6100 (Global Message Exchange) X-Priority: 3 X-Provags-ID: V01U2FsdGVkX19iCalTHnhiaYatgqCbYRzwC7egPTMXJyJSQQZRqa imQhUSGIiGaVZs1pASUmGSZmVNjiy9bxJW2w== Content-Transfer-Encoding: 8bit X-GMX-UID: 9ED3bAo4eSEqXNEIF3Qh6x1+IGRvb8Bp X-FuHaFi: 0.46999999999999997 X-Originating-IP: 213.165.64.22 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1283794341-00000C0F-B7CFE7C2/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.003281, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Burundi.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=0.2 required=5.0 tests=NO_REAL_NAME,SPF_HELO_PASS, SPF_PASS Subject: Re: [Seqan-dev] HMM Demo with modified alphabet X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Mon, 06 Sep 2010 17:32:22 -0000 Hello Manuel, thank you very much for the code snippet. I had to put the metafunctions into namespace seqan, then it worked. Number of states is fix at compile time, so seqan fits to my code. Viele Grüße, Konstantin (not Klaus, not Mark ;) -------- Original-Nachricht -------- > Datum: Mon, 6 Sep 2010 00:59:44 +0200 > Von: Manuel Holtgrewe > An: SeqAn Development > Betreff: Re: [Seqan-dev] HMM Demo with modified alphabet > Hi Konstantin (? or Klaus or Mark?) > > You might want to reconsider whether you want to use the > implementation SeqAn. Currently, the HMM specialization of the class > Graph assumes that the number of states is fixed at compile time and > changes to this would require major changes in the code and any code > that uses it. > > If you want to use this, however, you can simply define the alphabet > as a new Simple Type (analogue to TraceBack in module graph_align, for > example): > > struct _MyType; > typedef SimpleType MyType; // use unsigned > short for > 255 values > > For this type, you then at least have to specialize the ValueSize<> > and BitsPerValue Metafunctions: > > template <> struct ValueSize { enum { VALUE = 128 }; }; > template <> struct BitsPerValue { enum { VALUE = 7 }; }; // > must be ceil(log(value size)) > > Then, try to parametrize the HMM graph class with this alphabet and > add any missing functions, metafunctions and operators for your new > alphabet. However, deriving your new type from SimpleType, should > automagically use the code for SimpleType that the DNA and Amino Acid > alphabets use, too. > > Cheers, > Manuel > > Am 05.09.2010 um 22:43 schrieb Klaus Klapperon: > > > Hello again, > > > > I want to create a hidden markov model with an alphabet of (at > > least) 128 values (it has nothing to do with bioinformatics). I > > started with the hmm demo (graph_hmm.cpp). But how can I define this > > new alphabet type? > > Viele Grüße, > > > > > > Konstantin > > > > -- > > GMX DSL SOMMER-SPECIAL: Surf & Phone Flat 16.000 für nur 19,99 Euro/ > > mtl.!* > > http://portal.gmx.net/de/go/dsl > > > > _______________________________________________ > > seqan-dev mailing list > > seqan-dev@lists.fu-berlin.de > > https://lists.fu-berlin.de/listinfo/seqan-dev > > > _______________________________________________ > seqan-dev mailing list > seqan-dev@lists.fu-berlin.de > https://lists.fu-berlin.de/listinfo/seqan-dev -- GMX DSL SOMMER-SPECIAL: Surf & Phone Flat 16.000 für nur 19,99 Euro/mtl.!* http://portal.gmx.net/de/go/dsl From f.buske@uq.edu.au Thu Sep 16 07:00:53 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Ow6aa-0004BV-Dw>; Thu, 16 Sep 2010 07:00:52 +0200 Received: from mailhub3.uq.edu.au ([130.102.148.131]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Ow6aZ-0007pm-Ia>; Thu, 16 Sep 2010 07:00:52 +0200 Received: from smtp4.uq.edu.au (smtp4.uq.edu.au [130.102.128.19]) by mailhub3.uq.edu.au (8.13.8/8.13.8) with ESMTP id o8G50lRj001424 for ; Thu, 16 Sep 2010 15:00:48 +1000 Received: from imb10-008701.imb.uq.edu.au (imb10-008701.imb.uq.edu.au [130.102.118.152]) (authenticated bits=0) by smtp4.uq.edu.au (8.13.8/8.13.8) with ESMTP id o8G50lYH027445 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NOT) for ; Thu, 16 Sep 2010 15:00:47 +1000 Message-ID: <4C91A47F.7090900@uq.edu.au> Date: Thu, 16 Sep 2010 15:00:47 +1000 From: Fabian Buske User-Agent: Thunderbird 2.0.0.24 (Macintosh/20100228) MIME-Version: 1.0 To: SeqAn Development Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-UQ-FilterTime: 1284613248 X-Scanned-By: MIMEDefang 2.58 on UQ Mailhub on 130.102.148.131 X-Originating-IP: 130.102.148.131 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1284613252-00000C0F-F3ACA0AD/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000000, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Benin.ZEDAT.-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=0.0 required=5.0 tests=none Subject: [Seqan-dev] Merging/Melting a bunch of intervals X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 16 Sep 2010 05:00:53 -0000 Hi, I like to merge a bunch of intervals in case they overlap such that in the end any single point will be covered by at most interval. At first glance it seems like IntervalTree or its underlying graph_impl_interval_tree would suit this task. Currently it however does not seem to provide all the functionality required. I can add new intervals and and lookup the intervals that overlap a query point/interval but apparently I have to add the merge myself by either working on the existing notes (extending existing intervals) or by removing the detected intervals and adding a new one covering both the removed and the query point/interval. Unfortunately, a removeInterval functionality is also not provided in the current implementation. I'm wondering if there is another way to do this kind of task that I have missed. After all this task is a pretty common one so I figured there would be something suitable in seqan. Best, Fabian -- Fabian Buske Institute for Molecular Bioscience The University of Queensland Brisbane, Qld. 4072 Australia Phone: (61)-(7)-334-62608 From knut.reinert@fu-berlin.de Thu Sep 16 09:25:20 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Ow8qN-0000Tu-3v>; Thu, 16 Sep 2010 09:25:19 +0200 Received: from smtprelay03.ispgateway.de ([80.67.29.28]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Ow8qM-0003A9-RX>; Thu, 16 Sep 2010 09:25:19 +0200 Received: from [160.45.118.29] (helo=laphroaig.imp.fu-berlin.de) by smtprelay03.ispgateway.de with esmtpsa (TLSv1:AES128-SHA:128) (Exim 4.68) (envelope-from ) id 1Ow8qM-0006PN-F0 for seqan-dev@lists.fu-berlin.de; Thu, 16 Sep 2010 09:25:18 +0200 From: Knut Reinert Mime-Version: 1.0 (Apple Message framework v1081) Content-Type: multipart/signed; boundary=Apple-Mail-6--775443336; protocol="application/pkcs7-signature"; micalg=sha1 Date: Thu, 16 Sep 2010 09:25:18 +0200 In-Reply-To: <4C91A47F.7090900@uq.edu.au> To: SeqAn Development References: <4C91A47F.7090900@uq.edu.au> Message-Id: X-Mailer: Apple Mail (2.1081) X-Df-Sender: 114907 X-Originating-IP: 80.67.29.28 X-ZEDAT-Hint: A X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1284621919-00000C0F-CE13D956/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000015, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Benin.ZEDAT.-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-0.0 required=5.0 tests=SPF_HELO_PASS Subject: Re: [Seqan-dev] Merging/Melting a bunch of intervals X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 16 Sep 2010 07:25:20 -0000 --Apple-Mail-6--775443336 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii Dear Fabian, your problem is not yet well posed. Currently, an obvious solution (which you probably will not like) is to = create a single interval using the overall minimum and maximum coordinate of your intervals. Can you elaborate more on your problem? Knut On Sep 16, 2010, at 7:00 AM, Fabian Buske wrote: > I like to merge a bunch of intervals in case they overlap such that in=20= > the end any single point will be covered by at most interval. --Apple-Mail-6--775443336 Content-Disposition: attachment; filename=smime.p7s Content-Type: application/pkcs7-signature; name=smime.p7s Content-Transfer-Encoding: base64 MIAGCSqGSIb3DQEHAqCAMIACAQExCzAJBgUrDgMCGgUAMIAGCSqGSIb3DQEHAQAAoIIF+jCCBfYw ggTeoAMCAQICBA4+Vb4wDQYJKoZIhvcNAQEFBQAwgbUxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZC ZXJsaW4xDzANBgNVBAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxp bjEOMAwGA1UECxMFWkVEQVQxMDAuBgNVBAMTJ0ZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4gLSBG VS1DQSAtIEcwMTEeMBwGCSqGSIb3DQEJARYPY2FARlUtQmVybGluLkRFMB4XDTA5MDUyODE4MzAw NloXDTEyMDUyNzE4MzAwNlowgZoxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZCZXJsaW4xDzANBgNV BAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxpbjEuMCwGA1UECxMl RmFjaGJlcmVpY2ggTWF0aGVtYXRpayB1bmQgSW5mb3JtYXRpazEVMBMGA1UEAxMMS251dCBSZWlu ZXJ0MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA1KhJct0+8zA+Rpez11JSOVahqmh2 YJ8TWWVIvxERJPkUUgz+M4u4mEk3fr4oayj2KC5MoT8sHRbcIw4pEnN1NP3a9tWJZhXbInsR0eWM 5s6LXaLEHbczNg+V4xaFzAm6JR1sJ5h6LDWqmh2lmUoJE9l1ypydet5rf6Qnvbkys4Xwg4Dp4f89 uAZznbpo36FgDqS848FzIRW6wvzatFtVxYiQ/zpRggWLYNRIWx9jZi5A9LrFq79Cx6h7bWU13hpW u8QT2yE1cfRnTw2lvNXdKQDmNVHtVub7CHdG3voeJiiFvApgPkSbGDi1nXMtVePb/1xd5CFMMoqw IwH44W2KVwIDAQABo4ICJTCCAiEwCQYDVR0TBAIwADALBgNVHQ8EBAMCBeAwKQYDVR0lBCIwIAYI KwYBBQUHAwIGCCsGAQUFBwMEBgorBgEEAYI3FAICMB0GA1UdDgQWBBQf3YyAtgT64FlT3cbKq7WM Zsg64DAfBgNVHSMEGDAWgBQG4T30b/Qwt3o7V7AxBYl7DVhabDCBkQYDVR0RBIGJMIGGgRlrbnV0 LnJlaW5lcnRAZnUtYmVybGluLmRlgRdyZWluZXJ0QG1pLmZ1LWJlcmxpbi5kZYEYcmVpbmVydEBp bmYuZnUtYmVybGluLmRlgRtyZWluZXJ0QGNhbXB1cy5mdS1iZXJsaW4uZGWBGUtudXQuUmVpbmVy dEBmdS1iZXJsaW4uZGUwdQYDVR0fBG4wbDA0oDKgMIYuaHR0cDovL2NkcDEucGNhLmRmbi5kZS9m dS1jYS9wdWIvY3JsL2NhY3JsLmNybDA0oDKgMIYuaHR0cDovL2NkcDIucGNhLmRmbi5kZS9mdS1j YS9wdWIvY3JsL2NhY3JsLmNybDCBkAYIKwYBBQUHAQEEgYMwgYAwPgYIKwYBBQUHMAKGMmh0dHA6 Ly9jZHAxLnBjYS5kZm4uZGUvZnUtY2EvcHViL2NhY2VydC9jYWNlcnQuY3J0MD4GCCsGAQUFBzAC hjJodHRwOi8vY2RwMi5wY2EuZGZuLmRlL2Z1LWNhL3B1Yi9jYWNlcnQvY2FjZXJ0LmNydDANBgkq hkiG9w0BAQUFAAOCAQEAekvz2kbo9rxQsMh1ETLQMyFUoo4Dcm4FEXXvAl0k9jXCmq+6kcctkRFY 8Adm3GJ0QHvvTzd9X/fNUKw76Yr31QkczMfLz+9aJjNvro7EfKXsPGQI/ODiUuxR8Q8cOYYsmZqB R2PFZCHfWwN4IyNoPHeBySlguxjNSVXQ5+xMEzuEc/7iNW2MjaX5VjRah9zuP6iJpqgnSkJ6ttYl a+8vhNQ1e/Cx8k+FFF7w+7nF+dZLWhGuylJEjPpBdGjh16BtHWA6AsInAek8xzJyIloXa20jebAo Nx4RdQ6LjaqovFMQWanCXWzOUWpH1BvZ9NPXNDnCgkOqJCClqM3pZHLzxDGCA+0wggPpAgEBMIG+ MIG1MQswCQYDVQQGEwJERTEPMA0GA1UECBMGQmVybGluMQ8wDQYDVQQHEwZCZXJsaW4xIjAgBgNV BAoTGUZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4xDjAMBgNVBAsTBVpFREFUMTAwLgYDVQQDEydG cmVpZSBVbml2ZXJzaXRhZXQgQmVybGluIC0gRlUtQ0EgLSBHMDExHjAcBgkqhkiG9w0BCQEWD2Nh QEZVLUJlcmxpbi5ERQIEDj5VvjAJBgUrDgMCGgUAoIICAzAYBgkqhkiG9w0BCQMxCwYJKoZIhvcN AQcBMBwGCSqGSIb3DQEJBTEPFw0xMDA5MTYwNzI1MThaMCMGCSqGSIb3DQEJBDEWBBR2/PHgBXCM kkJqlfy9EgwBCPPtJzCBzwYJKwYBBAGCNxAEMYHBMIG+MIG1MQswCQYDVQQGEwJERTEPMA0GA1UE CBMGQmVybGluMQ8wDQYDVQQHEwZCZXJsaW4xIjAgBgNVBAoTGUZyZWllIFVuaXZlcnNpdGFldCBC ZXJsaW4xDjAMBgNVBAsTBVpFREFUMTAwLgYDVQQDEydGcmVpZSBVbml2ZXJzaXRhZXQgQmVybGlu IC0gRlUtQ0EgLSBHMDExHjAcBgkqhkiG9w0BCQEWD2NhQEZVLUJlcmxpbi5ERQIEDj5VvjCB0QYL KoZIhvcNAQkQAgsxgcGggb4wgbUxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZCZXJsaW4xDzANBgNV BAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxpbjEOMAwGA1UECxMF WkVEQVQxMDAuBgNVBAMTJ0ZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4gLSBGVS1DQSAtIEcwMTEe MBwGCSqGSIb3DQEJARYPY2FARlUtQmVybGluLkRFAgQOPlW+MA0GCSqGSIb3DQEBAQUABIIBAARY k5ddsfJv70Ose53JjIqFie9QrrRE9jLlzGbeMylGIFkWDfBvrWe1B/UNXfMo8Vgnyak+HXtM5Phm OBFzv9OCnnJAAYUjDRNHrcuZ3WkSfJoe8DV4jfBu+69oS2+qVCW7J44CJfOrJYQlCR61bHPzhrWW 3gouqio/9BN6lAdgEAkU0zSBkRAijwP35FFUXJoVwxYwHCWiub1cscqEeuam86nIY0FnCF/Qt1vr IyUevL/1WatzjiApo6i2nOYRnDlPIndhCVQA8FJf4XnCOJ/IP4KDpY6RMvemDZcEvMLs1J+VzCAX Q+zBcTsan1VUaT4XtZTWCrhnrUkpbbhvsmcAAAAAAAA= --Apple-Mail-6--775443336-- From f.buske@uq.edu.au Thu Sep 16 09:49:35 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Ow9Do-0001Nz-PU>; Thu, 16 Sep 2010 09:49:32 +0200 Received: from mailhub4.uq.edu.au ([130.102.149.131]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Ow9Dn-0005RK-Uy>; Thu, 16 Sep 2010 09:49:32 +0200 Received: from smtp4.uq.edu.au (smtp4.uq.edu.au [130.102.128.19]) by mailhub4.uq.edu.au (8.13.8/8.13.8) with ESMTP id o8G7nTlY022993 for ; Thu, 16 Sep 2010 17:49:29 +1000 Received: from imb10-008701.imb.uq.edu.au (imb10-008701.imb.uq.edu.au [130.102.118.152]) (authenticated bits=0) by smtp4.uq.edu.au (8.13.8/8.13.8) with ESMTP id o8G7nSxK003841 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NOT) for ; Thu, 16 Sep 2010 17:49:28 +1000 Message-ID: <4C91CC08.7030401@uq.edu.au> Date: Thu, 16 Sep 2010 17:49:28 +1000 From: Fabian Buske User-Agent: Thunderbird 2.0.0.24 (Macintosh/20100228) MIME-Version: 1.0 To: SeqAn Development References: <4C91A47F.7090900@uq.edu.au> In-Reply-To: Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-UQ-FilterTime: 1284623369 X-Scanned-By: MIMEDefang 2.58 on UQ Mailhub on 130.102.149.131 X-Originating-IP: 130.102.149.131 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1284623372-00000C0F-B1A6179C/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000000, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Benin.ZEDAT.-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=0.0 required=5.0 tests=none Subject: Re: [Seqan-dev] Merging/Melting a bunch of intervals X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 16 Sep 2010 07:49:35 -0000 Hi Knut, my problem at hand can be defined as follows: I start of with a set of intervals. That is a set of pairs of integers defining the interval start and end point. This two integers do not necessarily span the same range in all the intervals in the set. I then like to merge all overlapping/intersecting intervals. This may be done on the fly while constructing a new data structure. It looks as if the IntervalTree would be the perfect datastructure to use since its storing the current sets of (non-overlapping) intervals which can be easily queried given the new interval to be added. If the query interval overlaps one or potentially several intervals stored in the Tree all of them should be merged to obtain the spanning Interval (union of all intervals overlapping the query one). It should be straightforward to simply remove the set of overlapping intervals from the IntervalTree and then add the spanning Interval. According to wiki deletion of nodes from an interval tree may be tricky but should be possible http://en.wikipedia.org/wiki/Interval_tree#Deletion It seems that deletion of nodes (intervals) from the IntervalTree data structure contained in seqan is not supported yet. I was wondering if I'm mistaken or if there is another straightforward way I'm not aware of. Thanks a lot! Best, Fabian Knut Reinert wrote: > Dear Fabian, > > your problem is not yet well posed. > > Currently, an obvious solution (which you probably will not like) is to create a single interval using the overall minimum and maximum > coordinate of your intervals. > > Can you elaborate more on your problem? > > Knut > > On Sep 16, 2010, at 7:00 AM, Fabian Buske wrote: > > >> I like to merge a bunch of intervals in case they overlap such that in >> the end any single point will be covered by at most interval. >> > > -- Fabian Buske Institute for Molecular Bioscience The University of Queensland Brisbane, Qld. 4072 Australia Phone: (61)-(7)-334-62608 From knut.reinert@fu-berlin.de Thu Sep 16 10:17:55 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Ow9fG-0002KD-LM>; Thu, 16 Sep 2010 10:17:54 +0200 Received: from smtprelay02.ispgateway.de ([80.67.31.40]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1Ow9fG-0002sZ-Br>; Thu, 16 Sep 2010 10:17:54 +0200 Received: from [160.45.118.29] (helo=laphroaig.imp.fu-berlin.de) by smtprelay02.ispgateway.de with esmtpsa (TLSv1:AES128-SHA:128) (Exim 4.68) (envelope-from ) id 1Ow9fF-00079K-Q8 for seqan-dev@lists.fu-berlin.de; Thu, 16 Sep 2010 10:17:53 +0200 From: Knut Reinert Mime-Version: 1.0 (Apple Message framework v1081) Content-Type: multipart/signed; boundary=Apple-Mail-7--772287724; protocol="application/pkcs7-signature"; micalg=sha1 Date: Thu, 16 Sep 2010 10:17:53 +0200 In-Reply-To: <4C91CC08.7030401@uq.edu.au> To: SeqAn Development References: <4C91A47F.7090900@uq.edu.au> <4C91CC08.7030401@uq.edu.au> Message-Id: <66B7709D-8E68-41BC-ACD6-02E5D373FEA8@fu-berlin.de> X-Mailer: Apple Mail (2.1081) X-Df-Sender: 114907 X-Originating-IP: 80.67.31.40 X-ZEDAT-Hint: A X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1284625074-00000C0F-5F735A6A/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000000, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Benin.ZEDAT.-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-0.0 required=5.0 tests=SPF_HELO_PASS Subject: Re: [Seqan-dev] Merging/Melting a bunch of intervals X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 16 Sep 2010 08:17:55 -0000 --Apple-Mail-7--772287724 Content-Transfer-Encoding: 7bit Content-Type: text/plain; charset=us-ascii Hi Fabian, I guess this is still not well posed. Assume { [4,8], [1,5], [6,10]} the second and third do not overlap. What should be the result? [4,10] ? or [1,8] and [6,10] ? On Sep 16, 2010, at 9:49 AM, Fabian Buske wrote: > I start of with a set of intervals. That is a set of pairs of integers > defining the interval start and end point. This two integers do not > necessarily span the same range in all the intervals in the set. > > I then like to merge all overlapping/intersecting intervals. This may be > done on the fly while constructing a new data structure. --Apple-Mail-7--772287724 Content-Disposition: attachment; filename=smime.p7s Content-Type: application/pkcs7-signature; name=smime.p7s Content-Transfer-Encoding: base64 MIAGCSqGSIb3DQEHAqCAMIACAQExCzAJBgUrDgMCGgUAMIAGCSqGSIb3DQEHAQAAoIIF+jCCBfYw ggTeoAMCAQICBA4+Vb4wDQYJKoZIhvcNAQEFBQAwgbUxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZC ZXJsaW4xDzANBgNVBAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxp bjEOMAwGA1UECxMFWkVEQVQxMDAuBgNVBAMTJ0ZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4gLSBG VS1DQSAtIEcwMTEeMBwGCSqGSIb3DQEJARYPY2FARlUtQmVybGluLkRFMB4XDTA5MDUyODE4MzAw NloXDTEyMDUyNzE4MzAwNlowgZoxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZCZXJsaW4xDzANBgNV BAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxpbjEuMCwGA1UECxMl RmFjaGJlcmVpY2ggTWF0aGVtYXRpayB1bmQgSW5mb3JtYXRpazEVMBMGA1UEAxMMS251dCBSZWlu ZXJ0MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA1KhJct0+8zA+Rpez11JSOVahqmh2 YJ8TWWVIvxERJPkUUgz+M4u4mEk3fr4oayj2KC5MoT8sHRbcIw4pEnN1NP3a9tWJZhXbInsR0eWM 5s6LXaLEHbczNg+V4xaFzAm6JR1sJ5h6LDWqmh2lmUoJE9l1ypydet5rf6Qnvbkys4Xwg4Dp4f89 uAZznbpo36FgDqS848FzIRW6wvzatFtVxYiQ/zpRggWLYNRIWx9jZi5A9LrFq79Cx6h7bWU13hpW u8QT2yE1cfRnTw2lvNXdKQDmNVHtVub7CHdG3voeJiiFvApgPkSbGDi1nXMtVePb/1xd5CFMMoqw IwH44W2KVwIDAQABo4ICJTCCAiEwCQYDVR0TBAIwADALBgNVHQ8EBAMCBeAwKQYDVR0lBCIwIAYI KwYBBQUHAwIGCCsGAQUFBwMEBgorBgEEAYI3FAICMB0GA1UdDgQWBBQf3YyAtgT64FlT3cbKq7WM Zsg64DAfBgNVHSMEGDAWgBQG4T30b/Qwt3o7V7AxBYl7DVhabDCBkQYDVR0RBIGJMIGGgRlrbnV0 LnJlaW5lcnRAZnUtYmVybGluLmRlgRdyZWluZXJ0QG1pLmZ1LWJlcmxpbi5kZYEYcmVpbmVydEBp bmYuZnUtYmVybGluLmRlgRtyZWluZXJ0QGNhbXB1cy5mdS1iZXJsaW4uZGWBGUtudXQuUmVpbmVy dEBmdS1iZXJsaW4uZGUwdQYDVR0fBG4wbDA0oDKgMIYuaHR0cDovL2NkcDEucGNhLmRmbi5kZS9m dS1jYS9wdWIvY3JsL2NhY3JsLmNybDA0oDKgMIYuaHR0cDovL2NkcDIucGNhLmRmbi5kZS9mdS1j YS9wdWIvY3JsL2NhY3JsLmNybDCBkAYIKwYBBQUHAQEEgYMwgYAwPgYIKwYBBQUHMAKGMmh0dHA6 Ly9jZHAxLnBjYS5kZm4uZGUvZnUtY2EvcHViL2NhY2VydC9jYWNlcnQuY3J0MD4GCCsGAQUFBzAC hjJodHRwOi8vY2RwMi5wY2EuZGZuLmRlL2Z1LWNhL3B1Yi9jYWNlcnQvY2FjZXJ0LmNydDANBgkq hkiG9w0BAQUFAAOCAQEAekvz2kbo9rxQsMh1ETLQMyFUoo4Dcm4FEXXvAl0k9jXCmq+6kcctkRFY 8Adm3GJ0QHvvTzd9X/fNUKw76Yr31QkczMfLz+9aJjNvro7EfKXsPGQI/ODiUuxR8Q8cOYYsmZqB R2PFZCHfWwN4IyNoPHeBySlguxjNSVXQ5+xMEzuEc/7iNW2MjaX5VjRah9zuP6iJpqgnSkJ6ttYl a+8vhNQ1e/Cx8k+FFF7w+7nF+dZLWhGuylJEjPpBdGjh16BtHWA6AsInAek8xzJyIloXa20jebAo Nx4RdQ6LjaqovFMQWanCXWzOUWpH1BvZ9NPXNDnCgkOqJCClqM3pZHLzxDGCA+0wggPpAgEBMIG+ MIG1MQswCQYDVQQGEwJERTEPMA0GA1UECBMGQmVybGluMQ8wDQYDVQQHEwZCZXJsaW4xIjAgBgNV BAoTGUZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4xDjAMBgNVBAsTBVpFREFUMTAwLgYDVQQDEydG cmVpZSBVbml2ZXJzaXRhZXQgQmVybGluIC0gRlUtQ0EgLSBHMDExHjAcBgkqhkiG9w0BCQEWD2Nh QEZVLUJlcmxpbi5ERQIEDj5VvjAJBgUrDgMCGgUAoIICAzAYBgkqhkiG9w0BCQMxCwYJKoZIhvcN AQcBMBwGCSqGSIb3DQEJBTEPFw0xMDA5MTYwODE3NTRaMCMGCSqGSIb3DQEJBDEWBBS9lmLQt0ge YGuln71XUXUqDkC2yDCBzwYJKwYBBAGCNxAEMYHBMIG+MIG1MQswCQYDVQQGEwJERTEPMA0GA1UE CBMGQmVybGluMQ8wDQYDVQQHEwZCZXJsaW4xIjAgBgNVBAoTGUZyZWllIFVuaXZlcnNpdGFldCBC ZXJsaW4xDjAMBgNVBAsTBVpFREFUMTAwLgYDVQQDEydGcmVpZSBVbml2ZXJzaXRhZXQgQmVybGlu IC0gRlUtQ0EgLSBHMDExHjAcBgkqhkiG9w0BCQEWD2NhQEZVLUJlcmxpbi5ERQIEDj5VvjCB0QYL KoZIhvcNAQkQAgsxgcGggb4wgbUxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZCZXJsaW4xDzANBgNV BAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxpbjEOMAwGA1UECxMF WkVEQVQxMDAuBgNVBAMTJ0ZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4gLSBGVS1DQSAtIEcwMTEe MBwGCSqGSIb3DQEJARYPY2FARlUtQmVybGluLkRFAgQOPlW+MA0GCSqGSIb3DQEBAQUABIIBAJXB AWRJxA6qznplsTRGQe9Uk0pGe83/zKl9r9qvUenRlWdl9Yln8HC6Kvpu1Ij5kAybXewy9aHv7XDZ 1vn0HiAkLzujIctW/Od2ObCfk1SWlhrNJCf/6uwb8ghG0PVGCioDTjyuQuvegLT0MXTEvcJYZG7I RkXLyvfT6WVNYKxWPaAXGb8WDYgEXgYLf0btck9gcBdQWWxpTiVFgWLYi+efkSPm3zZgjorId8i7 1PIu33tS2hqTFIB04Nr60kRyyv/mvTzjN0fpq7qYAqbSydIl4riLxh5RXhC3PzdEmn4HiHRs7qfj u2gG5xdFXYTH81HNbeX6A5JVTuHVrsvhDPwAAAAAAAA= --Apple-Mail-7--772287724-- From f.buske@uq.edu.au Thu Sep 16 10:41:21 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OwA1w-00035P-CR>; Thu, 16 Sep 2010 10:41:20 +0200 Received: from mailhub4.uq.edu.au ([130.102.149.131]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OwA1v-0001Ov-Fn>; Thu, 16 Sep 2010 10:41:20 +0200 Received: from smtp4.uq.edu.au (smtp4.uq.edu.au [130.102.128.19]) by mailhub4.uq.edu.au (8.13.8/8.13.8) with ESMTP id o8G8fG0n008239 for ; Thu, 16 Sep 2010 18:41:16 +1000 Received: from imb10-008701.imb.uq.edu.au (imb10-008701.imb.uq.edu.au [130.102.118.152]) (authenticated bits=0) by smtp4.uq.edu.au (8.13.8/8.13.8) with ESMTP id o8G8fGC1005313 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NOT) for ; Thu, 16 Sep 2010 18:41:16 +1000 Message-ID: <4C91D82C.7090506@uq.edu.au> Date: Thu, 16 Sep 2010 18:41:16 +1000 From: Fabian Buske User-Agent: Thunderbird 2.0.0.24 (Macintosh/20100228) MIME-Version: 1.0 To: SeqAn Development References: <4C91A47F.7090900@uq.edu.au> <4C91CC08.7030401@uq.edu.au> <66B7709D-8E68-41BC-ACD6-02E5D373FEA8@fu-berlin.de> In-Reply-To: <66B7709D-8E68-41BC-ACD6-02E5D373FEA8@fu-berlin.de> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-UQ-FilterTime: 1284626477 X-Scanned-By: MIMEDefang 2.58 on UQ Mailhub on 130.102.149.131 X-Originating-IP: 130.102.149.131 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1284626480-00000C0F-DB77AD7E/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000000, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Burundi.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=0.0 required=5.0 tests=none Subject: Re: [Seqan-dev] Merging/Melting a bunch of intervals X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 16 Sep 2010 08:41:21 -0000 Hi Knut, > Assume { [4,8], [1,5], [6,10]} > > the second and third do not overlap. What should be the result? > > [4,10] ? > > > or > > [1,8] and [6,10] > > Neither of them. The outcome should be the same whatever the order of the original intervals. Since all of them are overlapping in some direct or indirect way the final result should be [1-10] 1-2-3-4-5 4-5-6-7-8 6-7-8-9-10 ____________________ 1-2-3-4-5-6-7-8-9-10 if there is another set that is completely separated, e.g. {[12,15],[13-17]}, the result should be [1-10], [12-17] Best, Fabian >> I start of with a set of intervals. That is a set of pairs of integers >> defining the interval start and end point. This two integers do not >> necessarily span the same range in all the intervals in the set. >> >> I then like to merge all overlapping/intersecting intervals. This may be >> done on the fly while constructing a new data structure. >> > > -- Fabian Buske Institute for Molecular Bioscience The University of Queensland Brisbane, Qld. 4072 Australia Phone: (61)-(7)-334-62608 From knut.reinert@fu-berlin.de Thu Sep 16 10:56:30 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OwAGb-0003cD-IX>; Thu, 16 Sep 2010 10:56:29 +0200 Received: from smtprelay03.ispgateway.de ([80.67.31.30]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OwAGb-0004q7-C0>; Thu, 16 Sep 2010 10:56:29 +0200 Received: from [160.45.118.29] (helo=laphroaig.imp.fu-berlin.de) by smtprelay03.ispgateway.de with esmtpsa (TLSv1:AES128-SHA:128) (Exim 4.68) (envelope-from ) id 1OwAGa-0000Ii-9O for seqan-dev@lists.fu-berlin.de; Thu, 16 Sep 2010 10:56:28 +0200 From: Knut Reinert Mime-Version: 1.0 (Apple Message framework v1081) Content-Type: multipart/signed; boundary=Apple-Mail-8--769973516; protocol="application/pkcs7-signature"; micalg=sha1 Date: Thu, 16 Sep 2010 10:56:27 +0200 In-Reply-To: <4C91D82C.7090506@uq.edu.au> To: SeqAn Development References: <4C91A47F.7090900@uq.edu.au> <4C91CC08.7030401@uq.edu.au> <66B7709D-8E68-41BC-ACD6-02E5D373FEA8@fu-berlin.de> <4C91D82C.7090506@uq.edu.au> Message-Id: <0BFB06B5-4EED-4F7F-B6E1-88535266E0E9@fu-berlin.de> X-Mailer: Apple Mail (2.1081) X-Df-Sender: 114907 X-Originating-IP: 80.67.31.30 X-ZEDAT-Hint: A X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1284627389-00000C0F-BF4D74A9/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000006, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Dschibuti.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=-0.0 required=5.0 tests=SPF_HELO_PASS Subject: Re: [Seqan-dev] Merging/Melting a bunch of intervals X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Thu, 16 Sep 2010 08:56:30 -0000 --Apple-Mail-8--769973516 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii Ah sorry I meant [1,10] as the first solution. But then the following algorithm should solve the problem. 1) insert all intervals in an interval tree 2) construct a graph G with nodes for the intervals and edges between = nodes if the intervals intersect (edge computation is done using the = interval tree) 3) compute the connected components. 4) on each connected component construct the interval as the minimum and = maximum coordinates of the corresponding intervals That can all be done in SeqAn. my first example you would get a graph G=3D({1,2,3},{(1,2),(2,3)} and = hence get the desired one component in your example you would get two components. Knut On Sep 16, 2010, at 10:41 AM, Fabian Buske wrote: > Hi Knut, >=20 >> Assume { [4,8], [1,5], [6,10]} >>=20 >> the second and third do not overlap. What should be the result? >>=20 >> [4,10] ? >>=20 >>=20 >> or=20 >>=20 >> [1,8] and [6,10] >>=20 >>=20 > Neither of them. >=20 > The outcome should be the same whatever the order of the original = intervals. >=20 > Since all of them are overlapping in some direct or indirect way the=20= > final result should be [1-10] >=20 > 1-2-3-4-5 > 4-5-6-7-8 > 6-7-8-9-10 > ____________________ > 1-2-3-4-5-6-7-8-9-10 >=20 > if there is another set that is completely separated, e.g.=20 > {[12,15],[13-17]}, the result should be > [1-10], [12-17] >=20 > Best, > Fabian >=20 >>> I start of with a set of intervals. That is a set of pairs of = integers=20 >>> defining the interval start and end point. This two integers do not=20= >>> necessarily span the same range in all the intervals in the set. >>>=20 >>> I then like to merge all overlapping/intersecting intervals. This = may be=20 >>> done on the fly while constructing a new data structure. >>>=20 >>=20 >>=20 >=20 >=20 > --=20 > Fabian Buske > Institute for Molecular Bioscience > The University of Queensland=20 > Brisbane, Qld. 4072 Australia > Phone: (61)-(7)-334-62608 >=20 >=20 > _______________________________________________ > seqan-dev mailing list > seqan-dev@lists.fu-berlin.de > https://lists.fu-berlin.de/listinfo/seqan-dev --Apple-Mail-8--769973516 Content-Disposition: attachment; filename=smime.p7s Content-Type: application/pkcs7-signature; name=smime.p7s Content-Transfer-Encoding: base64 MIAGCSqGSIb3DQEHAqCAMIACAQExCzAJBgUrDgMCGgUAMIAGCSqGSIb3DQEHAQAAoIIF+jCCBfYw ggTeoAMCAQICBA4+Vb4wDQYJKoZIhvcNAQEFBQAwgbUxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZC ZXJsaW4xDzANBgNVBAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxp bjEOMAwGA1UECxMFWkVEQVQxMDAuBgNVBAMTJ0ZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4gLSBG VS1DQSAtIEcwMTEeMBwGCSqGSIb3DQEJARYPY2FARlUtQmVybGluLkRFMB4XDTA5MDUyODE4MzAw NloXDTEyMDUyNzE4MzAwNlowgZoxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZCZXJsaW4xDzANBgNV BAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxpbjEuMCwGA1UECxMl RmFjaGJlcmVpY2ggTWF0aGVtYXRpayB1bmQgSW5mb3JtYXRpazEVMBMGA1UEAxMMS251dCBSZWlu ZXJ0MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEA1KhJct0+8zA+Rpez11JSOVahqmh2 YJ8TWWVIvxERJPkUUgz+M4u4mEk3fr4oayj2KC5MoT8sHRbcIw4pEnN1NP3a9tWJZhXbInsR0eWM 5s6LXaLEHbczNg+V4xaFzAm6JR1sJ5h6LDWqmh2lmUoJE9l1ypydet5rf6Qnvbkys4Xwg4Dp4f89 uAZznbpo36FgDqS848FzIRW6wvzatFtVxYiQ/zpRggWLYNRIWx9jZi5A9LrFq79Cx6h7bWU13hpW u8QT2yE1cfRnTw2lvNXdKQDmNVHtVub7CHdG3voeJiiFvApgPkSbGDi1nXMtVePb/1xd5CFMMoqw IwH44W2KVwIDAQABo4ICJTCCAiEwCQYDVR0TBAIwADALBgNVHQ8EBAMCBeAwKQYDVR0lBCIwIAYI KwYBBQUHAwIGCCsGAQUFBwMEBgorBgEEAYI3FAICMB0GA1UdDgQWBBQf3YyAtgT64FlT3cbKq7WM Zsg64DAfBgNVHSMEGDAWgBQG4T30b/Qwt3o7V7AxBYl7DVhabDCBkQYDVR0RBIGJMIGGgRlrbnV0 LnJlaW5lcnRAZnUtYmVybGluLmRlgRdyZWluZXJ0QG1pLmZ1LWJlcmxpbi5kZYEYcmVpbmVydEBp bmYuZnUtYmVybGluLmRlgRtyZWluZXJ0QGNhbXB1cy5mdS1iZXJsaW4uZGWBGUtudXQuUmVpbmVy dEBmdS1iZXJsaW4uZGUwdQYDVR0fBG4wbDA0oDKgMIYuaHR0cDovL2NkcDEucGNhLmRmbi5kZS9m dS1jYS9wdWIvY3JsL2NhY3JsLmNybDA0oDKgMIYuaHR0cDovL2NkcDIucGNhLmRmbi5kZS9mdS1j YS9wdWIvY3JsL2NhY3JsLmNybDCBkAYIKwYBBQUHAQEEgYMwgYAwPgYIKwYBBQUHMAKGMmh0dHA6 Ly9jZHAxLnBjYS5kZm4uZGUvZnUtY2EvcHViL2NhY2VydC9jYWNlcnQuY3J0MD4GCCsGAQUFBzAC hjJodHRwOi8vY2RwMi5wY2EuZGZuLmRlL2Z1LWNhL3B1Yi9jYWNlcnQvY2FjZXJ0LmNydDANBgkq hkiG9w0BAQUFAAOCAQEAekvz2kbo9rxQsMh1ETLQMyFUoo4Dcm4FEXXvAl0k9jXCmq+6kcctkRFY 8Adm3GJ0QHvvTzd9X/fNUKw76Yr31QkczMfLz+9aJjNvro7EfKXsPGQI/ODiUuxR8Q8cOYYsmZqB R2PFZCHfWwN4IyNoPHeBySlguxjNSVXQ5+xMEzuEc/7iNW2MjaX5VjRah9zuP6iJpqgnSkJ6ttYl a+8vhNQ1e/Cx8k+FFF7w+7nF+dZLWhGuylJEjPpBdGjh16BtHWA6AsInAek8xzJyIloXa20jebAo Nx4RdQ6LjaqovFMQWanCXWzOUWpH1BvZ9NPXNDnCgkOqJCClqM3pZHLzxDGCA+0wggPpAgEBMIG+ MIG1MQswCQYDVQQGEwJERTEPMA0GA1UECBMGQmVybGluMQ8wDQYDVQQHEwZCZXJsaW4xIjAgBgNV BAoTGUZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4xDjAMBgNVBAsTBVpFREFUMTAwLgYDVQQDEydG cmVpZSBVbml2ZXJzaXRhZXQgQmVybGluIC0gRlUtQ0EgLSBHMDExHjAcBgkqhkiG9w0BCQEWD2Nh QEZVLUJlcmxpbi5ERQIEDj5VvjAJBgUrDgMCGgUAoIICAzAYBgkqhkiG9w0BCQMxCwYJKoZIhvcN AQcBMBwGCSqGSIb3DQEJBTEPFw0xMDA5MTYwODU2MjhaMCMGCSqGSIb3DQEJBDEWBBQ0R019vo+s RjH/i/VmHEjeTxrteTCBzwYJKwYBBAGCNxAEMYHBMIG+MIG1MQswCQYDVQQGEwJERTEPMA0GA1UE CBMGQmVybGluMQ8wDQYDVQQHEwZCZXJsaW4xIjAgBgNVBAoTGUZyZWllIFVuaXZlcnNpdGFldCBC ZXJsaW4xDjAMBgNVBAsTBVpFREFUMTAwLgYDVQQDEydGcmVpZSBVbml2ZXJzaXRhZXQgQmVybGlu IC0gRlUtQ0EgLSBHMDExHjAcBgkqhkiG9w0BCQEWD2NhQEZVLUJlcmxpbi5ERQIEDj5VvjCB0QYL KoZIhvcNAQkQAgsxgcGggb4wgbUxCzAJBgNVBAYTAkRFMQ8wDQYDVQQIEwZCZXJsaW4xDzANBgNV BAcTBkJlcmxpbjEiMCAGA1UEChMZRnJlaWUgVW5pdmVyc2l0YWV0IEJlcmxpbjEOMAwGA1UECxMF WkVEQVQxMDAuBgNVBAMTJ0ZyZWllIFVuaXZlcnNpdGFldCBCZXJsaW4gLSBGVS1DQSAtIEcwMTEe MBwGCSqGSIb3DQEJARYPY2FARlUtQmVybGluLkRFAgQOPlW+MA0GCSqGSIb3DQEBAQUABIIBAI0z 6OpFcxfB49L5csiynN28xwbHcSu/n4N8K8rbBhaAmDRQeQlllbxHz03hJM6sac3QPIpi544lOEhd Hxy0+bBNBbZI7iY+TeuCJA53aiSB3XvpRz2NW8Mml80f/XT90TVNBF15akFSsZBABOlLhBD8LpXD ioIuroSQFcQvZRHw1Pmjog52Y/KXYxWP//la9Q77zjeSN6GPpMdKyDNZapf4lGdvmgAwDl6zJBz/ ea8eKRUvn4IWXLs4u5jURHpCUSx8PM1mfaTHgzIu2fBjpruSzguyaZiY+UNaYoZ3iw4NhEjyLA0Q qN7I7hNxCcipsY/fSD0NZ6M6v3Fb/Xd03mMAAAAAAAA= --Apple-Mail-8--769973516-- From f.buske@uq.edu.au Fri Sep 17 03:10:14 2010 Received: from relay1.zedat.fu-berlin.de ([130.133.4.67]) by list1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OwPSv-0001bS-DK>; Fri, 17 Sep 2010 03:10:13 +0200 Received: from mailhub3.uq.edu.au ([130.102.148.131]) by relay1.zedat.fu-berlin.de (Exim 4.69) for seqan-dev@lists.fu-berlin.de with esmtp (envelope-from ) id <1OwPSu-0003WC-Ib>; Fri, 17 Sep 2010 03:10:13 +0200 Received: from smtp4.uq.edu.au (smtp4.uq.edu.au [130.102.128.19]) by mailhub3.uq.edu.au (8.13.8/8.13.8) with ESMTP id o8H1A97B012296 for ; Fri, 17 Sep 2010 11:10:09 +1000 Received: from imb10-008701.imb.uq.edu.au (imb10-008701.imb.uq.edu.au [130.102.118.152]) (authenticated bits=0) by smtp4.uq.edu.au (8.13.8/8.13.8) with ESMTP id o8H1A87N007999 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES256-SHA bits=256 verify=NOT) for ; Fri, 17 Sep 2010 11:10:09 +1000 Message-ID: <4C92BFF0.7040602@uq.edu.au> Date: Fri, 17 Sep 2010 11:10:08 +1000 From: Fabian Buske User-Agent: Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10.6; en-US; rv:1.9.2.8) Gecko/20100802 Thunderbird/3.1.2 MIME-Version: 1.0 To: SeqAn Development References: <4C91A47F.7090900@uq.edu.au> <4C91CC08.7030401@uq.edu.au> <66B7709D-8E68-41BC-ACD6-02E5D373FEA8@fu-berlin.de> <4C91D82C.7090506@uq.edu.au> <0BFB06B5-4EED-4F7F-B6E1-88535266E0E9@fu-berlin.de> In-Reply-To: <0BFB06B5-4EED-4F7F-B6E1-88535266E0E9@fu-berlin.de> Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit X-UQ-FilterTime: 1284685809 X-Scanned-By: MIMEDefang 2.58 on UQ Mailhub on 130.102.148.131 X-Originating-IP: 130.102.148.131 X-purgate: clean X-purgate-type: clean X-purgate-ID: 151147::1284685813-00000C0F-EA9E1BB7/0-0/0-0 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000204, version=1.2.2 X-Spam-Flag: NO X-Spam-Checker-Version: SpamAssassin 3.0.4 on Botsuana.ZEDAT.FU-Berlin.DE X-Spam-Level: X-Spam-Status: No, score=0.8 required=5.0 tests=RATWARE_GECKO_BUILD Subject: Re: [Seqan-dev] Merging/Melting a bunch of intervals X-BeenThere: seqan-dev@lists.fu-berlin.de X-Mailman-Version: 2.1.11 Precedence: list Reply-To: SeqAn Development List-Id: SeqAn Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Fri, 17 Sep 2010 01:10:14 -0000 Hi Knut, > 1) insert all intervals in an interval tree > 2) construct a graph G with nodes for the intervals and edges between nodes if the intervals intersect (edge computation is done using the interval tree) > 3) compute the connected components. > 4) on each connected component construct the interval as the minimum and maximum coordinates of the corresponding intervals > > That can all be done in SeqAn. That sounds neat. I'm going to look into it. Thanks a lot! Best, Fabian -- Fabian Buske Institute for Molecular Bioscience The University of Queensland Brisbane, Qld. 4072 Australia Phone: (61)-(7)-334-62608