From mboxrd@z Thu Jan 1 00:00:00 1970 X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on inbox.vuxu.org X-Spam-Level: X-Spam-Status: No, score=-1.1 required=5.0 tests=DC_PNG_UNO_LARGO, DKIMWL_WL_MED,DKIM_SIGNED,DKIM_VALID,DKIM_VALID_AU,MAILING_LIST_MULTI, RCVD_IN_DNSWL_NONE,T_SCC_BODY_TEXT_LINE autolearn=ham autolearn_force=no version=3.4.4 Received: (qmail 16450 invoked from network); 9 Feb 2022 04:44:38 -0000 Received: from mail-qv1-xf3f.google.com (2607:f8b0:4864:20::f3f) by inbox.vuxu.org with ESMTPUTF8; 9 Feb 2022 04:44:38 -0000 Received: by mail-qv1-xf3f.google.com with SMTP id 6-20020a0562140d4600b004244d191fd4sf911272qvr.0 for ; Tue, 08 Feb 2022 20:44:38 -0800 (PST) ARC-Seal: i=2; a=rsa-sha256; t=1644381877; cv=pass; d=google.com; s=arc-20160816; b=QDp2aGPKPXxZclLS1ZMfX6i2NDyOnRQFqWNVl+pG5ztZZkOXsFy6fgn6oeHb/sM3vS 0CjQDVk3bDzqGmYnHCOhpFy1NfMm18JeD0XZOeiImZ9iSa1pthPbSu41uB8LIbGvRBFz V6aHbROciQQsnADinmAtwRwIvm28lwEeo/VzQT/nZO3inu8Mu8QXCH47OUj84lewVc/M 6H3y5YjrE0F3PsgdvktbmZ4NpSB1MGCyd4AjZcM32Rpbi/vd8NGB8b+0z2DPvOo/bVCm tUZcSTE55je3emWGyKiNuCHx60JwGHmTIGAaKcg3vOZZ+qAf4qvHnXkj2/4/6KPGUMcc nr6A== ARC-Message-Signature: i=2; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=arc-20160816; h=list-unsubscribe:list-subscribe:list-archive:list-help:list-post :list-id:mailing-list:precedence:reply-to:cc:to:subject:message-id :date:from:in-reply-to:references:mime-version:dkim-signature; bh=u9GYLgpKkCXBXi6ullE+ET0nyX7CPFIoUI0QdNDTulg=; b=fEwu4+egai4cb2v+wGgZTxTqkrqwVsxvsKqTLUSgCjwSVIhIi7sntEud+uM2XW84cQ I5YYYUo8hxADjDOOI8zwYvNxQhf9Lz0oKAI7eiELkKK0Jj0LXprZdDhupUibxHgrAwIm +jHMwr/nBlTsOBVDr2SqwOmnDda/sQIfpHp3OxNW05drIcEEyiiaKLWmWoFIoKon46/X OrGOSRWnxen6ecG+8QQ5SEy3JMbudLP9HPu+w6GgKdUu3ydrwoLwagdFYZOi02kt3WER o8xHosmzZDOEJjK44bPZYccbqzESnDlQHhctjyybHH+q0ocfNqWg+F/BD5V/g2PCaCaJ kLlA== ARC-Authentication-Results: i=2; gmr-mx.google.com; dkim=pass header.i=@googlemail.com header.s=20210112 header.b=P6snuo5b; spf=pass (google.com: domain of urs.schreiber@googlemail.com designates 2607:f8b0:4864:20::a2e as permitted sender) smtp.mailfrom=urs.schreiber@googlemail.com; dmarc=pass (p=QUARANTINE sp=QUARANTINE dis=NONE) header.from=googlemail.com DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=googlegroups.com; s=20210112; h=mime-version:references:in-reply-to:from:date:message-id:subject:to :cc:x-original-sender:x-original-authentication-results:reply-to :precedence:mailing-list:list-id:list-post:list-help:list-archive :list-subscribe:list-unsubscribe; bh=u9GYLgpKkCXBXi6ullE+ET0nyX7CPFIoUI0QdNDTulg=; b=KLGpNtA5pfCWxhTY34a6sXnqg/gCEoiXF3uqEbpqZGKTbXk1+WTyfHIMZDQJ4YxLtF e2EzCNCmhe8mD/vxzfrhUA9shJnczdaJ7bVJGwXLNzHcAGi1cjWKbFfnI4GPEJ17MVgt UkdWMVpjed5wfFWaKOefJoSS3eeWW7EFShjp14BbhG5nwB+jb0BBBxExzLJwlV4UKpN/ x6Fj1ISjHGXp1VBRaNUKZVV6iOMaYxzBF9b4cJu0/ZZDFddJ6bKjE/k5UjphiXkgEqKZ gTGB0nYk3OXv3H9ziUORWQRXVQPw3Zy3jdcCzvoudY5eSo9Bx8+sXmC/HmJb//Gx9w8Q R+sw== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20210112; h=x-gm-message-state:mime-version:references:in-reply-to:from:date :message-id:subject:to:cc:x-original-sender :x-original-authentication-results:reply-to:precedence:mailing-list :list-id:x-spam-checked-in-group:list-post:list-help:list-archive :list-subscribe:list-unsubscribe; bh=u9GYLgpKkCXBXi6ullE+ET0nyX7CPFIoUI0QdNDTulg=; b=NQgetCaleJOHqM61Ru5F5lvcy5p8n94cGtwCCiLz55SFE5yTfYw8LTcfSz1xSXS1KD tQNZFXgcZmGKivcJUvv3wYudVFFB2VCn0SFB6c9/3iaT+HeaZJdGiilrW0WOqfH0fS7s XaRWJJ6lQg9u8SX/19AcNV4xH+xwVPwnhuwB5u98runPheYfmnUAmYH69yF69ElEEQs+ DZu6/GKKN5k7+4Acwtx8GZZPMuV5kxhcizBIZ0lCuUg/S/liiot8PJwHonoPrk+NPPfo F4AoxgDP0KO4KYe32593ztfAptkzXoSy7YSWoOCCeu867HeMv6AN8fNmIwUlj4IqlrMq ki8Q== X-Gm-Message-State: AOAM532i6Re8XKuvyurXSRuOskI8jViEKYDrrN49PGK4MiosW1jYExMc stoaawG8X+QaW3Zn46mzT6k= X-Google-Smtp-Source: ABdhPJwNcOPoGhn6RlSThMalS46lR+VbCCZZSU6yvrAXRDe52EiipDIWFoYdD9/HQT/GAcZ559sYfw== X-Received: by 2002:a37:ad06:: with SMTP id f6mr225157qkm.668.1644381877338; Tue, 08 Feb 2022 20:44:37 -0800 (PST) X-BeenThere: homotopytypetheory@googlegroups.com Received: by 2002:a05:622a:14:: with SMTP id x20ls396301qtw.10.gmail; Tue, 08 Feb 2022 20:44:36 -0800 (PST) X-Received: by 2002:ac8:5751:: with SMTP id 17mr266234qtx.94.1644381876179; Tue, 08 Feb 2022 20:44:36 -0800 (PST) ARC-Seal: i=1; a=rsa-sha256; t=1644381876; cv=none; d=google.com; s=arc-20160816; b=y8p7AGjE0o+Lf/lY47sKVrJDmbXjaEGad47D1z2OXVmQ8rvUg3j84vkdpt2M9/ee4t y0nRSVIVFsRkEDzLgpHn7r4rIZtj/3kbv7Ae1FWokSW1fw+rB6HWtzK1I6VWaPm2j9e5 aaHexZ0+Wgl7HcxVaSEty1CRWNsvL6wLSHBm3y3Vk1gdh3RFQD7ASSjlg1UpnZ5relmo cWOWjYVETqnBVMA/cIYqJIxy+Wk0tNsYdPWFkeLmBd6fL3We92MPB86iVeZCMKGNA4xz YCNUJVEQeC5SbvkRHYEqzpxUSAjeJ70h4Ic+QghLkBWOaUuaUZk5Ab+HVFXfRvXtNmK2 hDlw== ARC-Message-Signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=arc-20160816; h=cc:to:subject:message-id:date:from:in-reply-to:references :mime-version:dkim-signature; bh=qWQbsiqxt+R+3P5zkDhjN9SP3iJIJmVYefytodUyZmQ=; b=lI1ynjHa8oAPrnDJyyz7CQV20YraJtK8xYr7ZkCVvx+Ar3r28D9AHGW2UlFSRi55H4 GeKQB4pULdblzf6IPMP+G8381m+aGDZ9/a6SZnQqL5PwB88DBp4KITnWIRLHJVnQEd51 kPaoGdgm9TH+iQhi4c8UnObI+4CHNtM1HfxI4eOmCmwCfoFTcksMY29vROF5xGlMPTjh 6BBN7tx4xKxmfr1LerZXHdhwqihcL68SVQvZ6MSFMrWMfYXG/8L4E+3fR5t2a7x/9Cbr LKt7Bwd/w5j4qHT50arKmXc5UpFv0qEs0ovYcxk/Afmd3uBd78asdcNpIdE7yI6PLuv9 YUpQ== ARC-Authentication-Results: i=1; gmr-mx.google.com; dkim=pass header.i=@googlemail.com header.s=20210112 header.b=P6snuo5b; spf=pass (google.com: domain of urs.schreiber@googlemail.com designates 2607:f8b0:4864:20::a2e as permitted sender) smtp.mailfrom=urs.schreiber@googlemail.com; dmarc=pass (p=QUARANTINE sp=QUARANTINE dis=NONE) header.from=googlemail.com Received: from mail-vk1-xa2e.google.com (mail-vk1-xa2e.google.com. [2607:f8b0:4864:20::a2e]) by gmr-mx.google.com with ESMTPS id w14si805287qtc.5.2022.02.08.20.44.36 for (version=TLS1_3 cipher=TLS_AES_128_GCM_SHA256 bits=128/128); Tue, 08 Feb 2022 20:44:36 -0800 (PST) Received-SPF: pass (google.com: domain of urs.schreiber@googlemail.com designates 2607:f8b0:4864:20::a2e as permitted sender) client-ip=2607:f8b0:4864:20::a2e; Received: by mail-vk1-xa2e.google.com with SMTP id m131so511048vkm.7 for ; Tue, 08 Feb 2022 20:44:36 -0800 (PST) X-Received: by 2002:a1f:2d0e:: with SMTP id t14mr218213vkt.37.1644381874734; Tue, 08 Feb 2022 20:44:34 -0800 (PST) MIME-Version: 1.0 References: <021D547B-986C-4E18-B4F2-A105376DE6EB@gmail.com> In-Reply-To: From: "'Urs Schreiber' via Homotopy Type Theory" Date: Wed, 9 Feb 2022 08:44:23 +0400 Message-ID: Subject: =?UTF-8?B?UmU6IFtIb1RUXSBGb3JtYWxpemF0aW9uIG9mIM+A4oKEKFPCsyniiYXihKQvMuKEpCBpbg==?= =?UTF-8?B?IEN1YmljYWwgQWdkYSBjb21wbGV0ZWQ=?= To: Homotopy Type Theory Cc: Steve Awodey , =?UTF-8?Q?Joyal=2C_Andr=C3=A9?= , Anders Mortberg Content-Type: multipart/mixed; boundary="00000000000084f4f905d78e7db3" X-Original-Sender: urs.schreiber@googlemail.com X-Original-Authentication-Results: gmr-mx.google.com; dkim=pass header.i=@googlemail.com header.s=20210112 header.b=P6snuo5b; spf=pass (google.com: domain of urs.schreiber@googlemail.com designates 2607:f8b0:4864:20::a2e as permitted sender) smtp.mailfrom=urs.schreiber@googlemail.com; dmarc=pass (p=QUARANTINE sp=QUARANTINE dis=NONE) header.from=googlemail.com X-Original-From: Urs Schreiber Reply-To: Urs Schreiber Precedence: list Mailing-list: list HomotopyTypeTheory@googlegroups.com; contact HomotopyTypeTheory+owners@googlegroups.com List-ID: X-Google-Group-Id: 1041266174716 List-Post: , List-Help: , List-Archive: , List-Unsubscribe: , --00000000000084f4f905d78e7db3 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Just to add that Pontrjagin had announced the result (on the second stem) already at the ICM in 1936: ncatlab.org/nlab/files/PontrjaginSurLesTransformationDesSpheres.pdf ncatlab.org/nlab/show/second+stable+homotopy+group+of+spheres#references and that the method he used was, of course, his theorem on identifying Cohomotopy with Cobordism: ncatlab.org/nlab/show/Pontryagin+theorem Two decades later Thom would make a splash by re-inventing (and generalizin= g) this method, and it was only then that Pontryagin bothered to write more of an exposition of his method (references behind the above link). Best wishes, urs On Wed, Feb 9, 2022 at 8:16 AM Noah Snyder wrote: > > I think it goes back to Pontryagin from the late 1930s, though with a rat= her different argument. The history is a bit confusing because Pontryagin f= amously made a mistake in computing \pi_4(S^2). But his calculation of \pi_= 4(S^3) was fine. See Theorem 2' and 2'' of https://people.math.rochester.e= du/faculty/doug/otherpapers/pont2.pdf which I found at this webpage that ha= s more history: https://people.math.rochester.edu/faculty/doug/AKpapers.htm= l#2-stem > > Best, > > Noah > > On Tue, Feb 8, 2022 at 10:09 PM Steve Awodey wrote: >> >> Someone please correct me if I am wrong, >> but I believe that this was originally proved by J-P Serre in his 1951 d= issertation (using spectral sequences). >> So we are about 70 years behind - but catching up fast! >> >> Congratulations to all who contributed to this milestone! >> >> Univalent regards, >> >> Steve >> >> >> On Feb 8, 2022, at 6:24 PM, Joyal, Andr=C3=A9 wrot= e: >> >> Dear Anders, >> >> Congratulation to you and Axel for doing this! >> It was a problem for many years! >> We can now honestly say that cubical Agda is a serious tool in homotopy = theory! >> It is an amazing piece of work. >> Thanks to all, starting with Guillaume. >> >> Best wishes, >> Andre >> ________________________________ >> De : homotopytypetheory@googlegroups.com de la part de Anders Mortberg >> Envoy=C3=A9 : 8 f=C3=A9vrier 2022 15:19 >> =C3=80 : Homotopy Type Theory >> Objet : [HoTT] Formalization of =CF=80=E2=82=84(S=C2=B3)=E2=89=85=E2=84= =A4/2=E2=84=A4 in Cubical Agda completed >> >> We are happy to announce that we have finished a formalization of =CF= =80=E2=82=84(S=C2=B3)=E2=89=85=E2=84=A4/2=E2=84=A4 in Cubical Agda. Most o= f the code has been written by my PhD student Axel Ljungstr=C3=B6m and the = proof largely follows Guillaume Brunerie's PhD thesis. For details and a su= mmary see: >> >> https://github.com/agda/cubical/blob/master/Cubical/Homotopy/Group/Pi4S3= /Summary.agda >> >> The proof involves a lot of synthetic homotopy theory: LES of homotopy g= roups, Hopf fibration, Freudenthal suspension theorem, Blakers-Massey, Z-co= homology (with graded commutative ring structure), Gysin sequence, the Hopf= invariant, Whitehead product... Most of this was written by Axel under my = supervision, but some results are due to other contributors to the library,= in particular Lo=C3=AFc Pujet (3x3 lemma for pushouts, total space of Hopf= fibration), KANG Rongji (Blakers-Massey), Evan Cavallo (Freudenthal and lo= ts of clever cubical tricks). >> >> Our proof also deviates from the one in Guillaume's thesis in two major = ways: >> >> 1. We found a direct encode-decode proof of a special case of corollary = 3.2.3 and proposition 3.2.11 which is needed for =CF=80=E2=82=84(S=C2=B3). = This allows us to completely avoid the use of the James construction of Sec= tion 3 in the thesis (shortening the pen-and-paper proof by ~15 pages), but= the price we pay is a less general final result. >> >> 2. With Guillaume we have developed a new approach to Z-cohomology in Ho= TT, in particular to the cup product and cohomology ring (see https://drops= .dagstuhl.de/opus/volltexte/2022/15731/). This allows us to give fairly dir= ect construction of the graded commutative ring H*(X;Z), completely avoidin= g the smash product which has proved very hard to work with formally (and a= lso informally on pen-and-paper as can be seen by the remark in Guillaume's= thesis on page 90 just above prop. 4.1.2). This simplification allows us t= o skip Section 4 of the thesis as well, shortening the pen-and-paper proof = by another ~15 pages. This then leads to various further simplifications in= Section 5 (Cohomology) and 6 (Gysin sequence). >> >> With these mathematical simplifications the proof got a lot more formali= zation friendly, allowing us to establish an equivalence of groups by a mix= of formal proof and computer computations. In particular, Cubical Agda mak= es it possible to discharge several small steps in the proof involving univ= alence and HITs purely by computation. This even reduces some gnarly path a= lgebra in the Book HoTT pen-and-paper proof to "refl". Regardless of this, = we have not been able to reduce the whole proof to a computation as origina= lly conjectured by Guillaume. However, if someone would be able to do this = and compute that the Brunerie number is indeed 2 purely by computer computa= tion there would still be the question what this has to do with =CF=80=E2= =82=84(S=C2=B3). Establishing this connection formally would then most like= ly involve formalizing (large) parts of what we have managed to do here. Fu= rthermore, having a lot of general theory formalized will enable us to prov= e more results quite easily which would not be possible from just having a = very optimized computation of a specific result. >> >> Best regards, >> Anders and Axel >> >> -- >> You received this message because you are subscribed to the Google Group= s "Homotopy Type Theory" group. >> To unsubscribe from this group and stop receiving emails from it, send a= n email toHomotopyTypeTheory+unsubscribe@googlegroups.com. >> To view this discussion on the web visit https://groups.google.com/d/msg= id/HomotopyTypeTheory/CAMWCppmb%2BAt_Bwp_2USKH9dAigFGx0GBrcG3XQQaqZmkr-kHog= %40mail.gmail.com. >> >> -- >> You received this message because you are subscribed to the Google Group= s "Homotopy Type Theory" group. >> To unsubscribe from this group and stop receiving emails from it, send a= n email to HomotopyTypeTheory+unsubscribe@googlegroups.com. >> To view this discussion on the web visit https://groups.google.com/d/msg= id/HomotopyTypeTheory/QB1PR01MB29481886234F6ECEB3006C31FD2D9%40QB1PR01MB294= 8.CANPRD01.PROD.OUTLOOK.COM. >> >> >> -- >> You received this message because you are subscribed to the Google Group= s "Homotopy Type Theory" group. >> To unsubscribe from this group and stop receiving emails from it, send a= n email to HomotopyTypeTheory+unsubscribe@googlegroups.com. >> To view this discussion on the web visit https://groups.google.com/d/msg= id/HomotopyTypeTheory/021D547B-986C-4E18-B4F2-A105376DE6EB%40gmail.com. > > -- > You received this message because you are subscribed to the Google Groups= "Homotopy Type Theory" group. > To unsubscribe from this group and stop receiving emails from it, send an= email to HomotopyTypeTheory+unsubscribe@googlegroups.com. > To view this discussion on the web visit https://groups.google.com/d/msgi= d/HomotopyTypeTheory/CAO0tDg5V2dMm71XbqR4dt%2BK2jCZpE-myseR7385H%3DZGbpoWyt= Q%40mail.gmail.com. --=20 You received this message because you are subscribed to the Google Groups "= Homotopy Type Theory" group. To unsubscribe from this group and stop receiving emails from it, send an e= mail to HomotopyTypeTheory+unsubscribe@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/= HomotopyTypeTheory/CA%2BKbugc-fn9wupcbxTekp4z8aJn3B-OOWc1-1Gpp%3DGYk9LrmbQ%= 40mail.gmail.com. --00000000000084f4f905d78e7db3 Content-Type: image/png; name="SurLes.PNG" Content-Disposition: attachment; filename="SurLes.PNG" Content-Transfer-Encoding: base64 Content-ID: X-Attachment-Id: f_kzf2gvby0 iVBORw0KGgoAAAANSUhEUgAAAqcAAAFuCAYAAAC86rHlAAAAAXNSR0IArs4c6QAAAARnQU1BAACx jwv8YQUAAAAJcEhZcwAAFiUAABYlAUlSJPAAAOvUSURBVHhe7N0HmCVF9TZwFFFyzknJOecoEiXn jOQMSs6CCpIlg+Scs4CCIKAoKEkygmQkGMCECMZ/fd+vmFp7m7537tyZXWZnz/s899mdvn27q06d Ouc9p051j5ECgUAgEAgEAoFBgiCngUAgEAgEAoFBgyCngUAgEAgEAoFBgyCngUAgEAgEAoFBgyCn gUAgEAgEAoFBgyCngUAgEAiMAth3333Tl770pfT1r389/d///V/P0UBg6CHI6SACY/Of//wn/fe/ /+050j+4zr///e9er1fOG5nGzr3c85NEkbd2dCKnEQH3LGPu30AgEGiFm266KU055ZTpM5/5THrg gQd6jgYCQw+9ktN//OMf6Y9//GP63e9+l95+++38+dOf/pSPtwIn+95776V33nknf/785z+nf/3r Xz3f/g8csvPefffdfJ5r1gmSv/2+XKv60S6///DDD/tNLLS5XPf3v/99+sMf/tARedIv8qi2q/7R P5/333+/51fDQ9v/+te/pueeey7dcccd6bHHHktvvvlmbofj3ZAWsnzmmWfS9ddfn+6///58vbfe emtY3/z729/+Nh/72c9+lo2ee9Wh3X5b//gdnTA2fZU/mT3//PPphhtu6Khvf//737PelXtrU5M+ gTaV8+hGE9yzyPsHP/hBuvnmm9ONN96YHnrooTxe+tNE1B0jM9f2b/l//aOtre4NrkMX/J6DufPO O/O/P/rRj9Ibb7yRPvjgg54zW+Of//zncH0tH+NifPXPOU39qILu0gW/I9cmkNdf/vKXYWNARq3k X4c2kEW7Ppln2uH62lKdO0XG+lT+79w69PNvf/vbsN+xDcaxHfyGbrmn65JnsXNk0dvvi/3yG+3z G/1skrm2FfnpRyuQtTlVzi0f93Cv/gR0xqwqWx9tNrb0sdNr63f9Oq0++t2EMl71OWQsHO+vPddX OkCvy7WNkX62urbj7k2/zB+/1wf/+tt3ncjIGBqr8mmlR67luu7hnq3sjvsaJ+f5l49YccUV08wz zzzcfZxnvtXhmvTSOLtf/Tet7lsF2dT9sLYUGWl/uaZ7tZOxNpQ5Vx3zTnxBYPRBW3JKGa+44or0 la98JS277LJpnnnmSbPMMktad91102WXXZaVsgkU7vDDD09LLLFEWmqppdKee+6Znn766Z5v/we/ d97yyy+fJ9t99933sclP0b/2ta/lay255JJp5ZVXTptuumnaYIMN0g477JCOPPLIdMEFF6Qnnngi K31vk6wVtFkb3Ec/V1tttfTSSy/1fNsaCM52222X++m3a665Ztpyyy3ThhtumNu43nrr5WMrrLBC OvXUU3t+9T/oL6K29957p9lnnz3NOuusaaaZZkpTTDFFbseuu+6av2812VuBc9tnn33SWGONlSaf fPI0wwwzpC984Qtp/vnnzx/jufjii+d7TTDBBOnTn/50JkhVA+H/+vbZz342fepTn8rnzTbbbPkz xxxz5D5vv/326dxzz81tbBewVIF8TzLJJDn697vecM0116TPf/7zuQ1jjDFGHqdf/OIXjTIh5zHH HDN97nOfS6effnrP0f/Bb1544YWsk/pAFquuumpaeOGF06STTpqWW265dMkll2TDWwcDuuiii2ZZ TTfddPn3RR7Gbeqpp873NXZHH310z6+GBxm9/PLL6YgjjsjjMdVUU+U5ZRyMk39PPvnk9Nprr/X8 ohkPP/xw1jfyGGeccdL000+f20CHVllllTxnrr322nydVg7V+O622265/cbC3Goaw1deeSXtvvvu efydt/7666ennnqq59vWMBfvvfferNt0pJUOP/vss3m+TDTRRGmhhRZKX/ziF4fNp2mmmSYfX2aZ ZdK0006bZb/22mt/zJFxisa7/I6NuOeee3q+/Tj8nmyOP/74rAP0y5ynW9pgzp599tnZcbYCHTnh hBPSXHPNlRZccMFsx84///zcljrOOuusPL7Gy/lNY6JN7CR7O9988+VxKXphXMnx8ccf77MtAL8x 78x78jFP2KbNNtss7bXXXum4445Ld911V7YbrQh2gf59+ctfztdhk8ltk002yfbOZ5111hlmS485 5pieXw0PQdg3vvGNLAskS1+Ntb8POOCAHFh3C+37/ve/nzbffPM099xz53lBd9i7b37zm+mXv/xl Y/8QLDaafu+00075Xx9+5rDDDktHHXVUuv3223PbBTWtZPTqq6/m5fevfvWr2QYLgJvADjmPnMjt uuuuyz6sDv6NjXLeSiutlMfM+fyDcbPE7z4HH3xwDnTrQEovvfTStO2222Z/wvb4nf4YH9/RO2Pf ylbw1XvsscewMdeOrbbaKstGW1zX/emSuS4oqANxNtfJxe/ZLDZz3nnnTYcccki2aZ0GvYGhj5bk lCIhfpzCRRddlLNKjzzySCYKCyywQHZSHFYTKPn++++fSQ3DagI0OT1G8MADD8xEZZtttmkku9px 5plnprHHHjuNP/74eRKItrWF8/n2t7+dFllkkTTjjDPm/4uOu4F7I2Kch0nDMXWKk046aZjj+e53 v5sn2KOPPprb+MMf/jBPYgYSEaiD499xxx1zHRHnoL/6d9VVV2VHQob6JVDoC9yfQUM4kK0nn3wy t8Xf2nniiSem119/PZMMxq0Yunp2V1voANLF2Bcgaq7HUFpmQogQkVbGrQpZWgTSpxM5cxoMKdLn N0gqo84A1h2EIAXJRBSaSAJDfcopp2SSefXVVw/LajDO9JmxRFQFSk0QsEw22WRZhhxYgeuQx0Yb bZQdLCdYB/Lx4x//OI81mSFZsrZkSW8vv/zyHNhMOOGEmYz85je/6fnlx+E3xlA7EAX9Nse0T0Za AOk67sHoN40L2WmPueU6iNBPf/rTnm//B3pJJs5BpGXjO3Ei+mucyrVbBbN03fxA9pEB8wXZ0y7E mzMjT98JCuhi/f7mDeKAhPgNObJDTSALJM9YGW/jaB4UGZEtcjvuuONm/W5nU8xxuq+PPksvvXTO bNXtHcJiPrNhdLmJYGovHUSwf/KTn+Rj7s3+CpqQdHKgw32F++kjckF+9MJ8pX/f+c53cn/pHF2S kDBW7QiqduivayE7bAlZPPjgg+l73/tettPmq3/rKAkHBJa9lH2Du+++O88NNk+A0g3oHHJEXxEe gaBj5IlAG28kuGk+GDNtF6iwM6uvvnpeVRK0X3nllVkX+AYk98ILL8x2qQlIp3lCPuZ5E2GEX/3q V2njjTfOARebItBpWl0jW20hF9c877zz8pwmb0E6fWLv6D7CX0exn+7BJkgI/fznP8++XBAtMDT/ BBlWb8ylOrSLH5544onzvNhiiy3y/cvn1ltvTbvssksOuMm5KbiwgsdXm8fGWh/YKnNV4Ev/OklW BEYPtCSnMoKMqUnImFTBAYp8mgxPAafHIYmyiqFtgsnFmd9yyy0tHR4DzdgwLNpThd/4re85LpmL JiLcGxgrE9PkR8ZaObYmyKAgd35r0jGGVSAuCJkIuI7bbrttWMalDtdiwBmtvpJTmWBL1dUMFzlu vfXWuZ0cUBWM8EEHHfSx+zBU7s/h7/j/SXQdCJSImuEUmfeW8YNvfetbOSBBMjnJToBMcA6yXPTA h7FsctSLLbZYDhia8OKLL+ZIHyGpEwTjKEOC2NHLVnB9bZedqYMjYPQRuDrcWx8QFJkOY1QHJyBQ KxnCpkxKAVLnPBm1OgQVxgWhWWuttVoSXQSeTOkEUl/P+JoX5Ow67uVaiHAnMA84VY4eIaDPTZDh pZfIUrEB/o+gCiJkWwrMf0SqPsdAnwWYyMXFF1/cc/Tj4ABlRscbb7ys0zJhdSCoHDBHbKyaAh3Q XuROBlwfrVSwjRxxvY3kyKY2XYucyYfNbFphcT16eeihh+Z+dgO6JFNs7glIqzDPBSGCV4G+wKdp 9aAK+kKXEZ06lCHIZDcFnwgssu07GcgqBOtsnvHpBjLdCJ+MnoCgCnOLXUAYW/kapJyMkbC6jIwb Mi940HeEtZWvEWSYL3SoHVzD3FpjjTWyjWsFtly7kbi6zRNE6Kv5btyagAgjhUho3W7x7wJ2NpUe G8+mwKTMryb9ATok4D/nnHMaM6dkImNf11966TukXxIlEICW5JQCI1yi0KZojvHxaQVkB+lkZDjl VhDZckLtJibCJGvXRE6hOAhRoShM5NoNtIGTlgnpK/TBb12jXcahDlGwKFt2pCliJUcTthvCXQej xmhzoIxIJ+A0ES1OWmTcBNGvpTlRMQfXDpw+wiFzgvCK9ntzgoD0ivgZPkvynKIoXdvqwZPlylZL ujKkyCXi9+tf/7rn6P+AuMh0tAtOEDTkFGHoFMa2ZNj137i2AgeNICB17cZJlsf1msgpCCJlyuil THBTts54lPIOWTCOvUqqkFpLdZZdjZXvObpOwEEhipy58bKa0kQqm+AeiBxZd1JeA/T72GOPzboo QGgCGVjJkdXT797sjrnJGSMlrWBZFDGQnZL9IW/Ols5WbQFSRu/IvA46LEBFDhDIuk6DttKbdgFL O7imVZRW5AIsQZvHbK1z6+SxCoSqFTltB/cge6UOTbIwR83zbsDX8DkSJ00Bmf4IQFvpIR3iS8wr K1ZNQOQEIkqaZDWbYNURObUa1Q78LMJotaBdYG/sZW3NpSaZAd1u0psC/aafrcoMZDwlGZSVNMmH 3klUtNOfdhCQCLCaeIOgni9sCtgDoydaklMZPeRUpGO5zIToC+nqlJyCTGU7JyFitbTXipyW7A6H Y1lKTVE30Ib+ktOmyYVYtloCksFEqmUsOEDGromkDgQQLpE8w2p8O0Ehp2U5qA4GEUlS28Xw+X87 yIghTJyAsgMElXPvDYWcaovlIKTFsq/MvCx9VWaMbCtyKgvHMTKwyiwQ/746+0JOO80ggnHlgOiI DHW7pWJQ7uIesnCtHI5+q01sRU5lU8jHPZHcpgDHOHCOMi7ml3rLqsOVzZPV5GRlXvoyv2QAkTRj Tn+sbjRlKZtQyCl9bUUA6rA8zAG3I6cIs8w5mTi3VakBcNACIQ7b0qe50AQ6STeVPqm7Q2zYIiSz Gni1I6fGRpvdiy1RfyjD1CmZ7xQCqnbkwjySPZelE8S1s8uW3luRU6tFrVZ7zF9jS3cRYHZpoPop sCNjQYXMLHvcl2t3Qk7JxGqXVRDJlSYgp4JLZQvtYH4pk+uNnOqHYLyJnPLLEjSt9LOAvpuD5mMT EE/jaWyaruW+Z5xxRkv9IeemALiAvsj8sjVBQgO9oe2yPkcky8bBUShGxeTthKSOLHJqEvmt+jHG gDPrtm5lIMipEgZOpWSW1d6oJbSBrAlkioD4LeOz88475+VaJKpdFNwNkDDLmN2SU8vxVXBACJol ckTREq76o3ZAVmz4YcTUKaldtkzbapmtoEpOQfuRTPopGievYhiRx1bklCNE5hhhy2nGmjMybr5r Z1wLCjmt6rU5QU/1H0mpQw2wmi7j3FTbW4dstHMZ81b6rAxFnWYTOUXCZPKMNaLh/k3zlpPwvbo6 ZF3GtpR8yDJxrnSSfDhQS65IVm/QP0GIOYWgcXgyP/rVCQo5NT6droSYd7JZ7cgpvSlzVVDULhAk LySxzM1WDtV8FXDQUVlec8x80V/tKPO4HTl1LxlDWUt2TMAg0yxgNf4DZQt6I6dA9sUm6X+ruYls KI3QxmLvjIEVCf1m95qg/wIec5e+0V96wef0RrB6gyQAuVmWJ39+Q/vM1U6u3Rs5RcCUkSmFUV/c ahm6kNN6+VQdxoP/642cgtULRLaaEaY3ZK6PvW1SRE6R6qZgQtBoVcTqibY0EfpCTslWEFZAPwR5 fD7iW2qI62C/6YtVOKsxkl50pTfbHxg90ZKcgollCbIUYnNMCAqC0FRTUkUhpwgLo9MOnZJTkwK5 sRTiw0hYDrfkz8hpH2Pam+NvhYEgp9oiArW8uN9+++UsDVJtwjeBMZQ9kKFWx+Qalvb8ztIW2Q1U JpUBEu27R29Gs6CQUyRSJkVw4LeWYCxT6y9DbZxl54xVK3DuMnOcXzGq+mzpt7el2zo5JRMlJ8Zd fzi4kp1uR06RTwEDEuO3+oVYM/qcmiWvdtk0KOT0tNNOywQHOdEWzowONtWZ2WhkWUtbya43IIPO bbdsWsip9shYl3mBGKiTRHDmnHPOvGGlqU/GQPbVcr3AxXwyx5BR444Uuo4MKN1RC+t6nEpvUEYg mw7mo2wcx9SqNKSOQk5tkGkqv2hCJ+TUXPM92XLovUFmzLlk1GqTnHlKZoVcCFCMCb1C4ASg5NmO nAI5qb/Vb0EJcuMpG+asLCC97Y8toPt0pjdy6h4yxkiETUWt5oO+8Q30AqETDNEX+q9MRIlVK7DT 7Ky2mEtspCDV+Ah46Wa38Hv173TZ2JnnlqrNUQFAuwC0kFO/VXtaJbSCNX6NbSYbKz/0tAkCUMv6 zjXfW334NcFhp+SUvARC5ff6xM/wte1KCOicUirn+Q1Szd9ZBVHGxH4KZNlB2dwm+RdySq+VdLDF ki5qi+kJ+6akqtXKClnxF+xAGRc6wqcYlyCpgSraklNGykYe9Tsi+kJSKTGSyNC1QiGnDFBvEV1v 5JTB4HTcXztMJEbeZDWxHeOAOfGy+7ob9JecIhIiQpNVptn/GUWOrRU5BW3m0ETbHsPCITFsdleW Jer+9KtAQMFx6GNfyan2IJGya6X+1zFjx0gydlVD3gRGiCMrdWzOl02UwWwq16iiTk5BRo4ucCSu UZau25FT4JwseTPSxoeeyhjI5HisCdLdSc2pJTa/lymTubfSgGwz3HWMSHJK9zgojg5hkPVxjP4h O62WV8mBDASgwHnINsl4ytbJbNNbshR0cG6ccidlGGwGJw/uY24JumS7zefegMgJhsi31WauOjoh pzaWlM2LnZBTsnMufbcLvwlqEOvkAtHn6M0R+qEPnLb53Yqcgnkui42AmFvIiPv7ly2QmerWFsi+ GrveyCnYvClb3E7+hZzyBWyeAASpVQLBhrUjp3yLfprTSprYcbIyl9l28usP2COJFLbc2CH6SJXS FMFkK4JKzwWd+kX+Eg3G18f1BJ/miO8Qs1a6zP6zEUqd2AYfxE0SQiBfjrmOOc4u9rbUzd/xCeTN 7vmUOW9M1T23gmu7hzIq9zVWAiq2zFK/f2VWzflWdryQU9eQWZeAQeC1w1hrn5XSdmU/7K6sK2Jv dYGMjDkSbxNjK1sVGP3QlpwWIAEMM+WllLJNDCbn0UoRCznlsFtFlwUmqKXQVtEyA2BiUWK1eJZw OXiTirPkmNtl7DpFf8mp/jLk1X5Y6mLgmnbg1sF5yJQiahyRIIDBZtAQ/HYRfyeQWeS89bGv5LRs lmGgtIVBkt1Bdts9C7KAM+KYGVZkB1lDwPweKWS426GJnILlOmSZHtAH2S3Gvx05LbB0JSNoSZGR N36cmIheNqxVLWohp7I8atzKx3MkObCmDIZ5Yi6Q/UCRU0vUdMQOWvfnkI0LgsxhaU870Ce12uYU qO0kO1kvZENfZLNK3aT530n7zQFZW30wbj6yh5ZByRgp6Q3GUZa9L+RUhk/22z1aEUmP+6In+tEJ OZW1da4As9UGuCZyKgvquCeImCcCHjaxN3JawJ6Rgc1b7BHbx+6yC90+A7SQi07IKRIvS94bOa3r J3sh20xH7ETvDdokEKGH7AuSam4Zw04z5q3A5ph3ss6yzyWgFmRbMWgCudN9Y84O0H9j6yPgEjQY V2PTzueUDVECumIf9MdTQNjPckwQRc9lejshp3S3qj9sGL1kG5ueBlPgN4JV8tU29tGGNLW5iDif 01vpSNEf10BMqxAY2tAnIO1tFUxwxTbxi4IFZN+YGxftMG6BQEfktEBWiiGRPUMGTD7OsAmFnHZa c4qstItmkQfGpWTYEC0kgOFHbLo12FUUcooM9rU0ADnlwEzSOmQKeyuDqEPmykRnkMiZUei2XKGg bIgydpbVOkEhp9VHSRknxllmCAnphOgKPjhqWS3LlrKIPn5P5gxTq80F0IqcAuIj28d5y8K4R6vH FrUCgi3LqCYLQUUCWjnHQk6RryoEJQKppk0/1Q1RSF9v2UMkyrn0u/oopSoKOa3OQUSBXI2xmr+m TVAFHJvnVZZ6aFkLjstvjRGyYEWigD7KUHNqTTVpBb53jeLUfWRrjLGsruXf3lA2igw0OaW3Mt5k KwBp55CNJ31zLqLSSh+QFXNDIFqFTW/KGIyheWzp00pBlVz0Bu2j38X+IQadzt06CrnohJySTVkO b0dO9a2JjLARfV2mZfO0T8aWzNstU/cVSlTUT1slML/pdhPMS3ouy6rv+lYCLEFaO72vopDT3vrA TwrazJFqcNMEOtRqQxQfU4LIJhRyyt4q/QHjQz8ts8uitvs9FP1BJulHHb43B3ojuQXazbYJHqxm sN+SX51ugAwMbbQkp6KXVhMR0bJ8w0GXurI6CjnlKNs9M5LzNOHaZU6byClwxH5rZywH0Wo5olMU corotCNKTUBO/ba36LcKMkYYW9V0ydx5iLmsif632vHfKUTqSAKn00ndIGgjg1Qlp6DdMtaMuKyE a7cDxyxQYayNVfnY0SxDg7S0Wy7muBCPJnIKloRKBG4cWjlwBrhVBoz+WOZGoizf0YcmtCKn7cB5 WAIjLwTaBqV2QB7cg363ytCoj9VnWZfiWDgIOoM0yPq0y2KY35bTitz1n17IkvtwFNU+ysy4X28P ghfcCRiNr81v9ETGvNTquW5vjriTzF0dnSzru5a20ZGy3N4K5EPnkAwZq1bBoX5y/E3fy2bLmJOn ecce1skFIArmUKtsve8QCZlKS7LtsnatQAdlNDshp+yNOa+GtE66Cwo57WuGU19b+Rb2xioTAimr 1lfoY6uAzLUtWyNjfEYTCjm1+tD0QPtO0Sk5Nd/oeW/kVLvotSxrN2NflvWr5BRkkJUGKbmxwtnK B0Mhp4KHTkp7OoXxUmqhpEr7OvVNgaGNluTUBgvLb63qm0wkBt6EaUIhp4y6LFArWMZWh8aIt0Ir cirTo7YHebNc1ltta28o5FQNqwLtvqA3cmoCKtSvRoV2NeqPCd/K2fseIeD8BoqcMsyd1nQZfzVC dXKKyMjcMWzqy6rjUoespOwAg1Z3HP62XGxpCXlp5ViQOfdv9dxP8kP+SrF905KibI5ASdak1SY9 GXxtVTfaSgc4CMSxVXauFRBoxJf8beRrlWGw0mC5jYOW/WwFmV5k15hWg4PyRickxBi1CtqQDkv4 1XvIZJiPxhsZqhKuQk4tVbZaCSA/GfJC7Dk7wZfz2QRkm81o9/xWKOQUsett5aWgE3JKFmoK9UO2 RqDSasUGUfS4IwTMEmQrIKeeWNGqvIWztWnQeLYiF/TXcrKscyvIVsmUI03d1OYZS9fojZyqf5c5 R6iRhlZzsmlZvwoEFFmsZ1AFVfYytNrV7bhSH0FcX2EZn79p9ag2BFX2VDDchEJOW+3W7xTsdSfk FFFEyHojp+YlO0tnW5FTcuZ/mgIc13aPOjllgwSA5rugth3xpXNkQgfpfCuQcT34MDeVQbUK8ATX 5pC529vjCAOjB1qSU0v35U05deMCnLvJ55EgTShLrZahGPama4DMmSxVu8fFIGWK7JHQ6jIjcIYe daVQnCFolXnoDSaTzQaIDQfSlNkyOdUnWh6qkgETTwbZb0Wi9YmJ4CFLMgHVqBBRJWdO2NJGnaBy CgyGpdR2ZKZTqPNRiM5JyhAyIr3BPbUReTQGVTCEMuj0wDK47GYd+m6MGXslIXUiUEoEyA5xa7Uc j0yrcZY1aso8gSyY+jz9k7GrQ18YSFkRmbw6QaWjCBhiiOi2cnDIpfb25njqkMVEsOkxnaW7VV3R PgEMWZKpTHMrEsKJmFfaoea0GriYA4I5pIrOyYg0ETBZJJlMJLeALnOs+livK6P3MizapZ11aL/7 2QTSRIiRYQ6oBDqtSA8gRZYxOeNOg86y4U95DaLXClZFbOBA0hBw49IkH/We2mrOkEsTjI/gTTkI 8t0EclGPx0a1IhcIPGIte6TMoi4bumk89I2Otgo42qE8B1afvIyjSf5FR21WMZat7DLSKYMmGBQA 1cG2yLqbI/XaZzZNAkAWtyngttHPEq8Vmb4CMRV8CkCalqnJAEEzXk0wDoh7f8kp32kOH3DAAT1H msGfSLr0Rk7plrHnC5pW9chbHal535ToYQME/7L3dfKn9lqwRj/9v5VuCb5sumK/rIQ1wRxXP8z/ V8FesN+SSU1+x7X5F0Fcq8RBYPRCS3LKUDJQomPKVn0GJDJh44SJUlfCAspmo4UJKosjO1N1tIwg g43AMrqtnDCjjEhxlgyW+tTqcitjYtmQkxZ1WXLsa82K7I46QY7TdZAXxe8yx7JnSg60n0wQScsj hYghX2ro/MZvycvmB5kh2Rv1mJZdOWzOtpqN40xlochI20185BUxZrT0S2YLWSGvdksuvaHskmQI tVNAwHm0I6jGG3FBGmUKkbbqsjojhkSIpBk2G5NkoqrGjdxk0BFGBrg+zhykgEObZGrs1K0bJ8ZY TRQixblrQ6uMvvtzmvUgBjhUJJ9z1l7L85yYceZAZbCRRkbU41XqQQY4R7ZSewUxvW32q8L1EC3k T3bRfWTByEi76MnSSy+dr+8RSq0yt8gOJ1JeOyobWX+wdqnZRB7oD5JRJWB0WnbMnLLqUOpkyVV7 zNlqdp3+IDTGiK5z3FXyzulbAmcT2I36m8LcW/bHPbWZvgsUmiDoMf9cR/tdt1XpS4GxdT1y1Ub2 qdVmTeNgjiEQzrfML5tXdMqYmnv02hi1KwNBhmTitNUSeKsyAXqP9LVa1ifLsjmQrWA7q/aHntI3 gUFvG92aQD5IL7mby/4VgNFz90B+LKebf0gQYqrfrQIImTNtpT+y2+YkvyDryiYgoHTI9eqBjO+M K5JI52Xy6B+fwV6Sp6RGK7LfDsbDfdkARNxehJIYUX7g3uxw02Y4Okov3F8wzj40BWG9AclkK8mZ v2ilP84rgb8MfavVLHqJ5Ao2zR3/R0DJi20U5Ara6QdbUM9IC1aNrcwr2yIzXNVBSRG10OVpJU0l dmTIxlgpM+b8h/uyK/SHTmo/O82G1ldL6QUCbL5JaBQC7T7kwG+TmbneLmgNjD5oSU4t1VAiES4j ghRaZpGZosCWPRGXVlEWB8AYMIDON0kZVgSFM0RK/YugMkxVx1mFZQDncbQ+shjVyM/vkCwZXLVu lihaEeZWMPFMJr93D0v0SKZrIaSuXR53wkAg6wgCcEYMLMPgt+RlojPuPhyfZVLXdJ3qxEMMOWxL eaJG55nYrkXm2sDAMpDFwHYLxgARQqz1ixGRoSj9aALZyug634dzrb+zXCAgS4m4INoyx9WxpCOI ht8zxE3kVGa13AMpqJMKxs9mKN+TtSXBVstD9JFOOacO7RJkMaKcvzGl1wgIfSRvWUjft8rAy0zI QJTfWX7uC7SBvsukW45nkAUgAgDGm9EXrLUipoBoIFNkQSZIEUdRBfnIUvie3pkT1bkqoKKrdNY9 y0oBZ1E2piCkBZyL4M1cRHZll6oZHEvvvqPnrklvq3BdQQfn6Xu6btyboK3sRLmW9hfy3AqyZPTP +T7sRKulfWCfBLl2XyP5bBQ5sG/GFYEhX063lY2jI7J/+uKeanxbLXEDoiRwbQqs2AL9FlQh1vqu XcbI/9kEc4ytazdnWwH5NX5FPq4nAJKdZOOKXab/+oSgtyIJdJMtL9fSf3NCNpp9YfdkJn3H/tPX KugaMuL+yA5iJigTuLiu39PvVnJvBwG/ZAYdJTvzWo2zcdVO85ZNqrcJZP0KWUQCBRzsUbul7iYg 5wIk/Ud0m0pC9E0AxwY5j86xW012XkZUUENOztUfYyaZQScc55sE3eRfB5nQq+KjzM16Aoe8i/9D fuuBuQy3bCni7xxyNN50SlvMFXprZYVO1VfRzBUrEcYcQTU2xkSAaOzpuvv2NbEUGLpoSU5NEo6c IRLZqlXisGR4SsTUW4RDwWU8kCsTUUaG4XM90aRrm/jtMoKu4bzy4eDqyzUMDZJoQnCSfTUmCINr Vu9T/3BklqV9qlkcjsY9m35T/XBM1VKAAn0XxfoOgRS1kk2RD6dSNxTdAFlhpMipfBiMKpFsAoNd /U09g6VtDBfy4FOXPTLqePl9vS/6X72HNtaJp/Gttt0128lEv+olElVwDLIO9MW4IhQ+9JRxbOf8 jZMPPSzj0w30CfmrjjcCKKCrE/g6jJk+VmXWlI0zVr53H99X55ljRTcRkeq4IUqyL1VHWXQUIfVb Y1olWWRGnuWaTbru/PK9+aDdTdCW6pzy/3YZftBWqwvlN/rU29jQIXpg3iGygkQ2zmY6Y0F27UCP LPeXexo749IK7mdMWtk737ND+osUI6KIFLspi6o9vcmhFchH+0pbmz4CZfpv/rWzyfpo/JquUf80 1eCTm35qj37K8ksO8CvGgo51Q0zB3DD3ZePKtZE+44rkuX4TMQX+jAzKfPTRxr62hU6UrDc5NekR +ZpjVVmxg032uPhQqy7V830cK21VglcNGAvojDaU35BNPUCqzl++vT7+9fnV9GFLSxuauEEZ82Lz jAleIYstYGlVOhMYPdGSnFZBMRksDooStzNcrcDw+q1rVJ1eIBAIfNLgTNkmn24J4ECDndUuRKK3 IHJUhr61Czb7A9dGRo3rUJbhqIgy34IPBJrQETkNBAKBQCAQCARGBoKcBgKBQCAQCAQGDYKcBgKB QCAQCAQGDYKcBgKBQCAQCAQGDYKcBgKBQCAQCAQGDYKcBgKBQCAQCAQGDYKcBgKBQCAQCAQGDYKc BgKBQCAQCAQGDYKcBgKBQCAQCAQGDYKcjiLwajevoPNqy27e0BUIBAKBQCAwKiDI6SiCY445Jm2z zTbp5JNPbnxvcSAQCAQCgcBQQJDTUQTHHntsmn/++dNUU02VfvjDH0b2NBAIBAKBwJBEW3JqCfl3 v/td28/vf//79Je//KXnF//Df//73/S3v/1t2Hl/+tOf0r/+9a+eb4eHazz77LPprbfeSu+9916/ iNd//vOf9Prrr6ef/exn6Re/+EV64okn0q9+9at8f21qwr///e/04osvpqeeemq4zwsvvJDb/s47 76QPPvig5+xm+P65554b7vfvv/9+z7f/AxlYni/naNu7777b8+3wcG9ycd5DDz2UjjzyyLTgggum ueaaK917773DruGcv//97z2/+h+UAvzoRz/KH+ffd9996eGHHx72G9+3GpMC8vSbcp12n+eff77l 9f74xz+mn//85+nuu+9O3/ve99KVV16Z///rX/+61zYEAoFAIBAYfdCSnH744YfpkksuSQcccEDa f//901FHHZXOPvvsvKx80kkn5Uye4wceeGC67LLLen71PyBmd9xxRz7Hx7L0I488kslOHddee23a Yost0te+9rV09dVXd01WkNvrr78+7b333vl6u+66a9pyyy3TJptsko444oj09NNPN94fida/tdde O22wwQZpt912y+d/85vfTMcdd1z6xje+kc4888xMdv/617/2/Gp4/OEPf8j9XHfddfN1Ntpoo0y8 6kD4L7zwwnwf5+24446Z2DUBidt6663zeRtuuGFuB/kvv/zyafvtt0/bbrtt/m6rrbZqvNdPfvKT fO4cc8yRlllmmbTLLruk73znO3n8Dj744HTIIYfkMdUv490Ex/fbb798jbnnnjutttpqad99982f PfbYI2288cZpqaWWyt+TFyJfBzJOX7TX2Pj3i1/8Ys4EG5/+jHkgEAgEAoGhhZbkFGFDNqaYYoo0 xhhjZLJ30UUXpbPOOisTtRNPPDGTjKmnnjoTsTqQ00svvTTNPPPM+fcTTDBBJn0vv/xyzxn/w113 3ZUzguOMM04mg93UVMq4nn766WmJJZbItZlXXHFFuuWWW3K2Ean6zGc+k/bcc89GcomAIWnjjTde mmyyyTJJ/sEPfpCze8gcUrfoooumlVZaKV188cWNmU5tdq/xxx8/95dMkOU6ZDiR8TnnnDN9+tOf zteUFW3Cgw8+mMnlWGONlWacccZ03XXX5ezkT3/607y0f/zxx6cvfelLafLJJ8/n1vHqq6+mr371 q7lNCy20UA4iZIgFCZdffnkm78ZnxRVXTFdddVVj9lVW+eabb873n3jiiTMpdQ2fJ598Mt16661Z TxZeeOEspzfeeKPnlx8B6UT09QMplyn2W31GVOkXYqutgUAgEAgEAm2X9RHJ5ZZbLpOom266Kf3z n//s+eYjIGlIKlLYBOQM0Rt33HEzQZp22mlzhtJych277757JjiW0rtZ1rdULYv4la98JZOfAm1G VOebb7609NJLN2b2QCnA7LPPnmaYYYaPZYKVHSCv8847bya6SGJTphExUxOKnCJureA8RG7CCSfM 2ct2WcNvf/vbmXwix3XiR06WypH+l156qefo8JB9/fznP5/HEamtQtnA0UcfndusVIDcmmQv27vZ ZpvlQATBrEMgctttt2UdqZd4yJoa129961sfCwyQYf1DfOt9CwQCgUAgMHqi1w1RyN7YY4+diU1T zaZaS0vaTbCE/t3vfjetsMIKmdwgqLPMMkvOPsrMVoHkrrPOOi3rL3uD9iFge+21VyZdVSCoMoPn nXdeYx0o+I0l+SZyCmomlTjIrlqKb5Xpm2666bK82hFO9a9IOlKo3+2gLdpkWb4pE2tMELtW2eZ7 7rknk8PVV189PfbYYz1H/wfEG6n/7Gc/m8swZErrkJWWgW1FTsHvmn6r5hepl7UmwzqQ2dNOO63n r0AgEAgEAqM7eiWnMp+W5C3DdpPRRAgRE3WNa665Zl5eX3LJJfNSfjUTe8455+RlZlm6blDIKSJk 2by+RO1eCFyrPsioKlNoRU5BmcJMM82U2//AAw/0HB0eyOlEE0004OQUca6T7k4gs2pJnewRxTrI RN3o5z73ubzU30RyeyOnssiIZ9OmMdl3JRvTTz997kvTc1rrGflAIBAIBAKjL3olp4glcvr444/3 HPkf7E6XbWsH5HSHHXbI2dU777wzb4SRWVTDagm/ADlVu4gIdYNnnnkmrbfeepn8WgI/6KCDMgHu 9Hrap02tyCmyecopp+QaSZnI+hJ5AXIqC9lq4xQgwocffngmuq0ykQXtMqe//OUv8yYsNaStUMjp Kqus8rHaVkRUXa7610996lPp+9//fiOpLuR0yimnzDLQDsf0URvUINvwpB62DoTVhjTkd5555sky VgZCdwKBQCAQCATq6JWcymZaykYwbfix0xuRPPTQQ9PKK6+ctttuu54zm4Gc2pH99ttvZ6JiSd8G mEknnTRvriokrr/k1HK9DUxqS9V8yl4ikXa1e4xSq93oBcoJ9LGJnGq3HfUInvrbnXbaKb322ms9 3w4P5NT9yU09pY96y5133jnvevf3Pvvsk4majzrNdijkVH2qvthlT/baIFNsk5JNSa1QyCmZ29yF TNqUhFwbz8UWWyxfQ/ZUqUJTZrmQUwRzgQUWyFlYTw/w0QY1rZtuumkjOQWP9fJEAbXHZENGNoId dthhLTPQgUAgEAgERk/0Sk6vueaaTD4s7yOTsl4IkkchybattdZaPWc2Azm1YaeQQ1lDv0dQ7CC/ 4IILct2hx1Yhcd2SU7BkLDvr8Us2ESFCCJVlZceQpFbL7ZalEUp1sZbQ9dXSuwys37qGZXiPUvJ8 zlbXKeQU2ZN19rHZC0EnK4RO/a1r2Qhko1U7FHKKzMtaylIaAzvgF1988Rw4tMteF3KqX54goD9q TBF3S+36ph7Xo6iaakahkFMEGYG3e/+GG25I5557bt69bxyRz1aE3XVlyQUga6yxRr4OGSHF+uAJ DU0lAYFAIBAIBEY/9EpOkSMkSvYRgbP8/corr+RldJudZMzaQabUs1CrsCvc455KdtND3t1HJq8/ 5BSQRhlAS/qerWrJeswxx8wkVcbP5qGm7GAhpx5nhUAhyzK5snsyjkg04ivr2PTIpQLkFGEkH/WW 5WM3vees+ugvwu7cVk86KLAL3iYyG5qQPwRczapxsMFJ0PDoo4/2nP1xWPKX8ZXxJGP3J2eE12Oz ZF1bEe2CQk4RasEGkCFC6ckLdENmuV0pA8huW873mC7jT04CHPqFuAYCgUAgEAj0Sk6Rs0kmmaSx 5tSO+6aHv1eB1MmuVWGHuQ1SMnrIIOIlg+de/SWnBe6ByHmkk2VwmUf3ksVsytIVcjrNNNPk3eMI oFIEH//3m1ZvmKoC4USG2xG+siHKBiMP1W8HD6iXubaMX3+SAYKofe3IsmX8L3/5y1nG/g+I8qqr rpqfn4rAa087FHLaakOUvsqMdyIf8BQHj5hC9hFvpRLqhFs95isQCAQCgcDog17JqcyoDT5N5LQT yEBaSq7DDm2bcdRCympa6vWIpqZXofYXiKe3GcnUIZ9NGb5CTptqTvuCsqzfCTl17hlnnNFztBll WV/btLGvKOTU47xKfadldk8JQDY937TdM1mhN3LaDohz01u5QDtkbslLiUHT0wQCgUAgEAiMXuiV nNpdjTw2PYS/E5x//vl5A1ATZNssayOMCIrNNd0+59RjkNSJ1p+fWuBVnl4CIEvX9Lgqy9PqSUcG ObUkL5uLkGlzOxRyuuyyyzY+57Q3qEdFQMm2+oQB/bWhTZZXZrtd1rJTcqpkov6CBXqjprVV0IFw zzbbbFkW7Z46EAgEAoFAYPRAr+QUYVMXiJQ0LYfLisl43X777T1H/geERN2mRzxVHxtVBVJk85DH S3n1aLdLu5anZ5111vw2qCYS7TFJaiYXWWSRRgL75ptv5p3r/SGnakDL617V5baC72yQ0h71rO0g w2pzl3Y1PfhfX0899dTGV8iCfpOLjUfVd/grCTA26k6/8IUvZGLYalkegVQWYAPT17/+9Z6j/4M2 3HffffmRUeqQq/K3+U3bPeWhSe4Irf4h373VvgYCgUAgEBj6aEtOEQ4PtUe2vPqznrkrhAS5UUNa h+dqqiu1nG4nftMD3pEkrx6VPUNiunnQPHhEk6yozKUNWFUiZ9l6qaWWys9ARV7ru9KRIiROFlFd qp3n7eo4W8Hbqfy+yKspW6ikQLYU0UP6kb5nn32259vhYfOVB/47T98QWrWaZUOXJXHyt7FMhrsO GVrk0G+NgWeRVsdAvTDS6ns77u3CrxN7f3tCANlphyy3fsqIevqB0gwlB+Tu0Vhel1qFpwqo9xV8 kKuNYoUEI+n653sbvwKBQCAQCARaklO7qhFLhATZ8i+CYte3Z1R6ILu/EToZz0KYCmzUsVxcfu/h +8hME/xWxk0WTwazGyDKHpGkdhXZ0jaEF/EpxMp75Juyd9pq05d2+mgHUtUXWLomk3KNcr861H2S WTlPqUGrpX2vjrVpqZxb+uWYj+u4D3J60UUX9fzqf9AmpBEBRCpljT3FoIDc9XPFFVfMNakIfl0+ yLQNWUo7BCqW3+2un3/++YeNv3ZpH4LsSQxVkK26WrXLXuZQbb9aZuRauUFdfwKBQCAQCIyeaJs5 lX28//77c71m9aMuVDbS/5HCpsyfbKTfl9/YUDUiNjvVofRAiYFnZ3pkkg+ShvR2ups8MOJgGR8Z bSpRCAQCgUAgEOi15jQQCAQCgUAgEBhZCHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAg EBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQC gUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIa CAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0CHIaCAQCgUAgEBg0 CHIaCAQCgUAgEBg0aCSnr7zySrrqqqvS6aefnj/HHnts2mGHHdIRRxyRTjvttHT99den//73vz1n fzJ44okn0te+9rV05JFHpm9+85u5fWeeeWb67W9/23PGwOFvf/tbuvnmm9OWW26ZFlpoobTYYoul PffcM912223pwQcfTL/73e/Sf/7zn56z+4ZXX301nXLKKenwww9PJ554Yvr2t7+d9thjj7TVVlvl zyGHHJJ+9rOfpQ8//LDnF4HBir/85S/pvPPOGzZ2Pt/5zneyftRx5513pq9+9avDzjvjjDPSX//6 155vA4FAIBAYfdFITt9777108MEHp+mmmy7NPPPM6Y477ki///3v05///Od0yy23pJVWWimtuuqq 6dlnn+35xcjHu+++m8ncDDPMkGacccZ00EEHpZdffrlrktgKiMWhhx6a5ptvvrTffvtl0o5IrL76 6mnaaadNk08+eTr66KOzbLoBQoP4kqdruddLL72U3nnnnfTcc8+l/fffP80666y5f93eIzByIGB7 6623coDxuc99Ln/WWGON9Mwzz/Sc8T8gphNMMEE+hy498sgj6d///nfPt4FAIBAIjL5oJKf/93// l95444204oorZiL6/PPP93yTsgN9880302yzzZYWWGCBnqMjH9r42GOPZee/3nrr5TY6NtBAxldb bbV0xRVX5Oyl/v/zn/9M77//frrooovSF77whbTZZptlUtINtPlf//pXzv661jXXXDOsH/794IMP 0r777pummGKKdP7550cGdZDDmMmmL7HEEjlwmnPOOfOYVvHHP/4xrb/++mmMMcbIHzpGBwKBQCAQ CPRSc7ruuuumr3zlK+k3v/lNz5H/4Vvf+lYaa6yxGr8bWXjqqafS2muvnTbaaKNcijAigBBuscUW jeRTpuy6667L2VQZ0P5Atm2mmWbKJRN1PProo2mWWWZJG264YfrTn/7UczQwWCFQktU/6qijcnZU 6UkVd999d86QL7nkkmnsscdO999/f883gUAgEAgE2pJTGclW5HSfffZJn/nMZ4ZzrLJGCFv5lAxg FY6V4+X/Ted1gpFFTpdffvn005/+NPdpRKEdOf3JT36Ss6rIjOX+AnJTxiCb6+P/dVlqs+PV8aj+ rvymHKser1639L362/r35fpVlPuX3zSdA46Xe7SDc6r39ale0/+b2lT9TTlWvVYn9+4UyktkS5FQ mdPttttuuKDirLPOSvfdd1/6+te/nrOrMq11FHlUP3XUzyn9qsPxIv+6vAo6vU4V/i6fQCAQCAQG Ch2R09dff73nyEdOzFKzjUHjjz9+Xv4HS91PPvlkOu6443KmyMYpGT8OscCStKV4m5ksbTr/hhtu SPfee29eJu8rRgY5RRanmmqqXPd5/PHH53pQNbna+49//CPLYyDQRE45fXJV6zrppJOmk08+Ocse kAxytGFqlVVWSV/+8pdzHaPNU0Xmf/jDH/I42Mh1zDHHpIcffji3Fxnaaaed0he/+MVMkN5+++0c gMjMypavvPLKac0110zLLrtsvi5yZWMPkLO/ffelL30prbXWWmnnnXfO4/7zn//8Y8vTlqw32GCD tO222+Zr+X2dzOjjD3/4w5xpbLW8rb9kL2OvlMO1Nt1005zVRgKNBeib73fZZZdcKqFfCL3yFO21 ic456neVZZCBvpB/08alblDI6a9//eu0+eab5/Y8/fTT+TttoUeCnVbklAycb2z1wUbEyy+/POtc kR15qGWlE9quL+aDOVbO8S99oVPbbLNNWmGFFbLM1LeWc+iDNl188cX5Ptr2ox/9aLjrGB9y9Du6 An73q1/9Ko+bTX3VeR4IBAKBQH/QKzm1WQOJtAGJ8/Z/xGbKKadMp556aj6PY0Iwp5566rzz+Hvf +14mAcstt1zO+gHygCBNPPHEeSMRUiCrhHQhBxx6XzEyyCnyvffee6eJJpooffazn03jjDNObjdS Zoc9Migr1l+SimCQ6bnnnptLBJAny8PI5TzzzJOJY5U8kbc6VMTQbxC7ZZZZJp+LjBSSR0Z+K8uN pL744ouZsNhVbnyUJPz9739P3//+99Pss8+eSR2S8ulPfzqNO+64mVyS8cILL5zJit+rwfXdxhtv nG699dbc9gUXXDDNNddceXNXFQiy8yxfI6hN5Q8IjxpmG/CaMsfu+4tf/CIT0rnnnjsvmcs82rRX NouVjLLAQY2u9iPr/va0BcvoylDGHHPMXEuNOJIh3aOT+jxQu+ULOdVXgdocc8yR5UxHHnjggTxe 5IicTj/99MORU+eob6YL+oosIpXG2jgUHTAP1Toj/p4c4QkSgsVqP8hk1113zeNCFgJKMphwwgmH EV0EV32sspEDDzwwE2IyIVubIOGmm27KcjZG/g/mBTvgWjYIknEgEAgEAgOBXskph2fHOBIkoyYT xOHJkhXIrKi95ORkUQApKo93KkBUZN1c84ADDsiZsB/84Af5t93UbI4McgoeT3XppZdmkofAyaQi 1QjXpz71qbTbbrvlmtSSaeoGCB7igPjJQsoQ7rjjjlnuiA6SVYBYWOZHsqogXyQEUZQlLbjnnnty aQLC47FgyIus1wknnJBJGsjUIaIlM6stxhuQV6TRfWXsBB+LLLLIcCUd1157bSYvJWCp4sILL8wk DCGrw/Vk35BdO9fXWWedYVnQAiRLv5A1ZLiKX/7ylzmDXN0oJmBAxktgBMjU4osvnoMLgQYCi1Bp m9UBT0YYKBRyCjfeeGMm3eZMyVAKBAQPyKmArjqXbDZ0PtmXMTcmSgGmmWaarCegj0g5Yi84pH+I LKJYSKX/0wVjRz7mG6IrW+v3xpUOmbe+A+OBtC+66KLpsMMOG5YRdV/nChIKrKgstdRSQU4DgUAg MKDolZwiZIVwtgKH9sILL2QniKBxegiRHcmyXFVwoJYWkYr+YmSR0yosb3q+KYe89dZb56V4ROiy yy4bjiD1FZx/q5rTOpRCyADKflaB8CCOCI/l3ioQII+rQlZkvzwG7Lvf/W7LjHWVnNZx1113ZfJi aVpG3TUQXdk7GcI6EEDnN+kR4rX77rtn8oZ8ykojTlX4G7kW2FRLTFqhiZwifVYBZBptUvJoMIER 0ifg8v1AgTyuvvrqnAU1L2SsLe0jfTKbJfuInCKLZckf6JWgp0oCAQl17tJLL52v63u6j2Qra0D8 BSclY+4cmVVzrSp3mVdzT4Dy4x//OAcFpT0FyK3MKXm99tpr+ZigRvlItV3GTqkEGQpcAoFAIBAY CHS9IaoOBJUDlZHj9GRdyhJsFd/4xjcyGUAs+4tCTjngTto4IoCMWfLkyPvzAgDk1NKqTFtvkFm1 bF0lXwVIqMwu4lOF7DYCbYlXdvL222/Pm726JaeysDbFyZQq0VCrKnva9CxW9ZLVrHpBKRNA2GRw kW3L19pOnwpkdJFWx0tWlazVQD7++OOZ3Mkclt8Ucur7AucrNZG1LMvRiJVSA2UbAwlZyEsuuSQH acjiSSedlLOVSKr/myOgPza5yfwWIOrKRwrJLCBXmVJylKVEGq1oyKAbb2UX+iEolHH1QYjdsxWh FyhaxahmboEckWvjXx4jd/bZZ+fyjDppRlgvuOCC3NdAIBAIBAYCA0JOZWk4ZEv1ah8t0yINlvUt T1ehrk32aiDIKVKijTKYskZN4Ghtvupmw4bskgyjJWF9bAVtsOGm22edAnKqNhER6w1KJWROybkK bUTMvDihSk5luGS2kBr3QZRk4YxXO3KqxrMJyKnyBu2QoVXnqvyADjTJSR2qZX1ZxCqMDR2x3C6Y QVJd1/JxVedkqgU6NoaV8g8kU92vZ+3K2CK2JXtXyGk1m0cHtNXyvY8NX2ToOaMDTU4RunPOOWdY Jr3UbE422WT5jWuldMIYqb+uEj4bl8hee6so5FRdcfk9nRcQeKOYchAyoofqccnJ+Pk0lVOAbHcT ORU0yM5XyakAQ+a6iZzGsn4gEAgEBhIDQk6RACQUsShvjUIckQeOswrLkLJsA0FOZaAs6bda1i9L l0hUqcOzfMvhdlLjqm5zk002yfWOslv1WkggG0utNqUUQoHMqsfsNJuL0Nk40+myPoKgdhK5LJtf EAr3lw1DBGW6wLW1vWQREUSZZvWdln2byKmsHYJk7OtwPWRRn40xuWq7elPtaVoev/LKK/NbvOok yWYcJBnB8hYybRTcIHI2DZVMqPMENAiloKfA/2UMZQ9tNCrnWz5HTqtQ7+naxlQW2ZI+Mlcnpwjl Qw89lDPLRWf6AuNg2dwu+5JFJn8ZfvOjumGMvNS/Vmt3lUAYW5uiClxT9hMBFYgZH+PmyReFFJqD 2ozcIu5g/NwTWS+ygZKVdV9ZV/esBm90SkZcWU4ZT+TUZkfXKkCObaqrklMZW0GT17MGAoFAINAN WpJTREKdH/LA2XN+nGQTkCIZFCSBg7STWB2aJWTOsjx+hjOzycc1OcamLFsn4FwRB5tj7CzmIN3X fdTUIaqyR5ZQ1VgirwgjeGKA5clOMpQybM61BIyoW+q0/OweyIKaS8RVP5HKQl69zlQ2EUHpDWRg uXv77bfPS9rKIFy/XabXEiriLxMnY4joI3Z+q7/qhPXXNcjCY6Bk7ApZ0nc7txG+ejaTbNWtyirq c3UpXlv1G6lCRpEaTyqgK5bK9Vkb6qQOEUSSyqYbQODcH/kvpBWBomsyu4hoydrJFBrL+eefP8sU eRQEIUzagSgXkk02CLr2I/H0Vp/UZcoievqBNpMFUoXIq3ct2UjL//RFXSqd6gvImzy1cd55580E 2/XMD0EZsmdu0BPjQr6W8G22Q+pKgCFjqUaXDgtwjC+ySL6Ip7brh3kk8ELMnYMUKl0o7S7yEThV z7EMbyzJ23y0uc116R0yarw8oqsEOEC/kWPHyM9HSYvr2+Hvt9ovYFDy4VW8gUAgEAh0g0ZyKnvE gSGcHL86UaSsmn2pAgGQPbPLWO2lWkTLvJZb1dTJjIHnJ7qmbBcH2up6vYFztuwoK8uRq3lEmDh5 DhORQYplxixx2zldyIfsD0JiM1BvQCI8SUDWC0n1W0uxssTIBmetblFGrjzKCDh8y7VIT28gO31R H4jkyoypG3S8HWTjPPYJifOvLBlCZJm8ZK3ISe2jMTEeJXsqc2hJV8awnjnVD/1CWBCP6sYqv0Me kTxL8e5bMuCOI3WysvXndqp1RSyr2W0E3j0s4WsjIGjGsDw/tZplREbLJh3EiY65l34jaiVrLaCQ EXbtvfbaK5NpWXJL0vRT30qNp+/UbSJvJYAid8vnHi9VfyxWb5A9lCUu8qEvMvcg22ynPlKHACL2 xs5cQCiNTcloIt/66CkQiLZ+q9NGDOmk+el6aocRfHWlxoLuKJspG6zIU7DgPoIH+uh8cjP3kElk Wt0tOZo3Ahnk2rjb7FZgnM0356lVFhjqK4JtriHdrulfmW+6GAgEAoFAN2gkpxw0ZynLUj4yca3I pONIAUcqM2lJkjOTrZLZKUuBHBfH5oHhTTu3OwUSgAwhNdU2lg+yJzuIDCA71XpUy8eyuvWMYSsg PUiVbCDS5ZrIqPpIDlx2q74ZpPS7+jinViBrLytQl4jEI0Qyhohgb3BffXUvH5myal+RE+TIcXKp EtGSkavXCiK0yCQ5uWa1zMA4I3RFzrLfJUvqXrKh+o7oubYMnOwysojYVAk82bgGIl2W6vVHhs9x BL2aaQVkyXdImqykYKdenkGv1MSWayODrkvv9Idultpg/UHktLmURwCZCqr6mjlFHF3PvX3oaCHk gqMSIJEZ2ZXzfJQuFHIK9M7YIbH0wtypgt64NtkZrzJWjlWz7tpEv+gAvZchreoIgirrSWauISil 53X9K1lhqwdkX2Rb7ESxD/TH9/UnAAQCgUAg0Cna1pwGAt3ilFNOydlDWVCPsELiq+RrMAORlfUc iMedBQKBQCAQ6BuCnAZGCGQGZZaVD8hw1rPLgxXqVC2Tq0eVGQwEAoFAIDByEeQ0EKhAfbLSlHpJ QSAQCAQCgZGDIKeBQAVqJ+2w7/ZJEoFAIBAIBPqHIKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeB QCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGD IKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeBQCAQCAQC gUGDIKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeBQCAQCAQCgUGDIKeBQCAQ CAQCgUGDIKeBQCAQCAQCgUGD0Zac/u1vf0tvv/12+uc//9lzJBAIBAKBQCDwSWOUJ6fvv/9+euaZ Z9Ltt9+err/++vx54IEH0l/+8peeM5px/vnnp69+9avpoYce6jkS+CTw3//+N7322mvpZz/7Wfrh D3+Yx7Pg97//ffrJT36SXnrppZ4jAws68sQTT6T7778/vfjii+k///lPzzeDC//+97/Tr3/96/SL X/wi6/roCEGkYNJ4/eY3v0n/93//1/NNgG7cc8896cYbb0xPPvnkoNXjTqEPDz74YM9fow/Yo6ef fjq99dZb2S4GegeZkdef/vSn4WT2ox/9KF111VXplVde6TkyauFXv/pV5jJXXHFFuvLKK9Mtt9yS /eC//vWvnjOGPkZ5cvruu++mSy+9NK266qppttlmS1/5ylfyQP7xj3/sOaMZG264Yfr0pz+d9t13 354jgU8CiBenuuaaa6YVV1wxk8SCO++8My299NLp1FNP7TkysHj88cfTjjvumL74xS+mY445JuvS YMRf//rXrKerrbZa+uY3v9lzdPQCYnr88cenddddNweW4bw/wlNPPZV1Y4MNNkhzzjln2m233dIH H3zQ8+2oiU022SSttNJKvSYYhhruvffetPXWW6cLL7wwz/lA70Dedt9993T55ZcPl9jYaqut0nTT TZfOPvvsniOjDr73ve+lHXbYIR144IHpjDPOSMcdd1zaaaed0q677pq+/e1vZ/34wx/+0HP20MUo T05lVH7+85+ntdZaK80888zp4osv7sg433DDDWnaaafNvxtR+PDDD/NnVIR2m/gIYhXIpCi1agj6 AyRDNuyggw7KwUU1M/jjH/84rb/++tnwjAi8/vrr6Ygjjkhf+MIX0rbbbpvefPPNnm8GF/7+979n I7XIIouknXfeuefo6AWBw9VXX50+//nPZ2Md5DTlebjPPvukww47LNu9/fffP5188snpH//4R88Z oybWWWedHKiObuT0rrvuSltuuWU655xz8tgGeocV05VXXjntvffewyWkzjzzzExODz744J4jowYE m0sttVQ64YQT8ooIvPfee3kF8etf/3qad95503zzzZd++tOf5u+GMoZEzekbb7yRI43FFlss3X33 3T1H24MBF50jJyMKlmhMklERjz76aFphhRXy0kIVltqRRUvhAwVLtEgpckpmBQy04++8807PkYHH 888/nzbbbLNs3JDAwQoykBXbc889e46Mnvjyl788wsnpeeedl1544YWevwYvlC+tvfbauTTJHOKc EbpRpeSBjF9++eWP1f0/8sgjuYRldIPxE6gLmken5dv+4qSTTsrErUpOZRYF8qeddlrPkVED3/rW t9KSSy75seSPOV1WifkBc3+oY0iR0yWWWCLXXvUGSiw9LvVfXUYeaMhobLzxxj1/jVpQB3rzzTcP N+FlTWUz11hjjVzTM5DgqGadddb02GOP9RwZObBcvMcee+SxGswwDjJjozs53WijjdLRRx89wsip ui5BkqBlsMPqz1577TXCarJHNAQZ6gJlhgKBbmGZW7lT1VdJNAjaRqR/HxHYYost0jzzzNOyVla/ 2KbRIbM+JMipiOJrX/tarh3sJKKQhbL8VS+6R74Y+ssuuyyT1+9+97u5LrFE9qJZGUUErUwEqffv f//7uW5StFayFojdDDPMkJZZZpl8n/ry+O9+97tc6Ow+MjUlhV8gs/vb3/52uLIAbVMoLXsJ7iXd 714mon794Ac/yNFi/X6dAklU20cGMhj6X2DZG9m2tEp+vkPu1Edpl0+pldJ+k0h7yKxe3vDcc8/l e8jCaj9ZVMmpSej/+mEDTBXaSGaHH354OvTQQ3M0SVbdZIxcW4TdRE5lbUXl7mFZ/Ze//GXWkQLj cMkll+R6Vf/6/tVXX+35tu+gU5b0kC96QS4Frcjpn//857y0Zcx8ZLrJoooi62OPPTYv/8pOl8ic zBg697KUhPDYkFKvaTIedE1kL0tx66235ntXYWPCtddem+XhOgKc/mSj6ZAMmrYJOum/1ZFvfOMb w5FTG4Do3llnnZVOPPHEdNttt3VVk6UcSP3mZz/72VzS4ppsi3vRffNee9xPduuOO+4YLtPPPhSd Zw/IvZoVNIa+d11ypyvGTnvJrgqEzb1cxznPPvtszoqWjJr2KIVZbrnlco19fX6V9lnhqDpt0Ca/ N7/MJd9bJqS/ZGBOW4Fyb9fRNtfyN1um/8b1vvvuSzfddFPj5iX2jQ6oFzeHtNF1C4ynZML222+f 702XyER7yIfu1KGPbIl2qMvT3qp8yUaiwu9LSYD2+9ucqG8UK/azSf69gW6SQbmmvhlv96reh+5o AxmzHc5zjrF3jQJt1wbf1edVK2g/faqWsWkTu01GxpB9q2emC8iKTrPjyFDVtnUL41425/FJ9Qwg ORQ5kUs3KPpJb8zz008/Pa+AVvVcn1v1uwpP7aFrVZmb8/wxf2os6R3bY8zqOgSO0VvzHheo+/K+ wJ6ZcccdN9eQ2yDcH/s5MsE+XXPNNdnP0Cm6WYWxsEoCdML4+5v8W2FIkFOTisNSp9TJchBDUF8q pmAMn6ygzTnf+c53MuFFxgrRMynUeKlTLfcxES2tzT333JloFYNz5JFHpjHGGCNNNNFEadNNN81P BgD3QXr8XZaTFTtvs802Wbm1jaHgeBhuxqfg3HPPzfU1CAyj58Pwu7e+ywQj6GpvbfTpK/TJ5KBk al8omqX90gYTdPHFF8+Tx9KDeh7Oj5NwP5vMKCaYyGSInCN+VXnrB6fquA/y5+8qOUX8kDT9UWtY wAhY1iBTEbPNMauvvnrabrvtspGpT4regFyst956HyOnnKks3X777ZfJr+J0ZSB0oRgoJE2NGNIo 4iUTcujUuVRB3ptvvnm+j6CI4y46BQxvnZwiGEcddVSWeymcpx90osibU0a+rSz4rWXxZZddNvcJ 6Jv/k7O2f+lLX8o1TwcccMCwQMO/ggH3ISvt8kEECwnkIOks8mrc1fDSSfOyG5gjZGGOINXKY4y7 +UTvCjk19xEV/TIe7m1MbB5wjb7AvJt//vnzRkn6SN4cIMNqbi699NJZPoccckiWA93WZwYWsdBO vzFvTjnllNx2vyvE0YaXIn/64lrOccwmoJLlcT+ElI6zD+quyzwq5yB+Cy+8cJp44olzkFYcM2fG PrBJ5g9yyL5UV5QQCAEEfWXrbMKh22THMWunuk8brNxb+2zGM/d92C7t5UB9R1bV8h/O2RgssMAC WZcWWmihrC/mPX0D+jXBBBOkKaecMt/LHNd2Y7v88ss3BmFsKtnR8bKBkg5qMyBZdMQ5+syWsQs2 y/oN21TuD+RpMw35Oc8cMXa9wbzzW+NdCDdSwl6QxcMPP5ztEB3VZu00zuwcOZc+VOuDjZ/r+U7g Bwi2gJMPom8CpqJLyJhjxqfMU3PecdegW+6h75IV9UwbO2a+sPXIIlvK/hjbQnbpmnvQj0K4EFpj RLbXXXddPlZg78cuu+yS/ZBz2AAZzSIj1zWufCi7yo+Smex5J9AHtsrY+r1gWkBKX6wgVMlpFcaC 79IXPr0kEPg1wShZXXDBBfmYthZ/RO7ay+65B19ITlUdKvaHPpb2sAn0oRvwp/ZAjDXWWLm2lJ0w 7kXHByPMfXbA2LON5FbdxEyPzUvznF3kj8w3Nood4NObMCTIaTFqnZLTJpj0iMD000+fjQZyxLEg qwQKJpcJLXtTlrWLMUcICbosUYkKkC1GSWahZFgov4lloLSVQxRFcOImGCPgGia1e1czl87lHEwe hs+k81tF0rPMMkueOJyQLJ4J0xeQIWfD6ZRJLrK1acxx34t47H40eUSr+uRcRoNcTGBF/eBcGTiy QrJLNo/T1VZGl4x8GAnkqkpOGW0OCyFAjAAJkFHk8IwVo+zDKMjmalM1i9AJGCrtq5JTBti4MVrI ifuSPaNoEpZoj8PWR9eQreDwGfJi/DqFNjP2dAJJJVPkGEnSDnCsTk7JnyFgFDgmMmb4OVl6ARwd 3eI4GGjZDE6IEQXjhEgg+XRPRoKD47TJgSHmPOgdwyMQoWMcENIho+Yc93Md8jB31M4VB9RXGFNO hPxlYslTBkimbq655srzsZBT+oO4IXGCE8SLw9W2KsHuBGTBqI499tjZuegDuboXA+pJAVNMMUUm zeTkPvRZ/81xZIDs9J/s6Iu5WnTfcUaZ4+G42RB64xo2uxUnbaw5fkQJceCwjCv5Gj9wfXrLufu+ ZInMK2NlJYJs6K1rcZ6FTLB1+rfoooumySabLAclbB0y4jolGzXTTDPluU6O+qs9yPBUU02ViSb7 xfYhQ3SwwLHJJ5886y5CKNhCTukUGQD7ZCzpB103dhw9/REgCJYK2AL3ZmPpttUx96bD5qMx025y M48nnXTSTLwRVzpTiHzVPtMTRNH9jK3+sb8+vYENJ3cyLfPMMeNHPjKxbLOPzPJ4442X5cGms48I Fl/FfhTSp/3GjEyKvXNMZpcus2/6XQJjOjPhhBPma5Gbfhl7vzdP6YR7IV/sJYJTgJgK3swt4+E+ 5hj9stpX5gxSwa9qe8mOmyPGqxCLAnbL742P8SdTjwd0Hn/kd+wVPabD5pbrkIHETG/Qxosuuij7 GD7AuNFv93GPduQUjA9byVe6N+ifttG3Yv/5OUH+NNNMk+XL3tJVsnQfAVfRIeNrDvNx/CIZ8pn8 sD6Vse0LjCVbba6YZ1Zx6L255PhggzE2/9lEvoGPMf4C26Jz5MWeTzLJJPlf/oMus5UION/ThCFB Tike49gfckopKC2SVKIUgjexCb5AFMowVZeyGAxKW7IoBWUiVSGqNtkRNApI+X1EagsuuGA2bMDx uW89qhApI4LFObsfQy4q9H/HkR2TrC+QZeKIGHUTzQTTvs997nN5ojI+JiNjz1gWEllgkiMs1QlE LsVhl8gdAZt99tmHiwS1mcGq15ya+AwKIwaFAJAfORTZmRwIBYJSDEenoDv1mlP3RRY4OWS93Mf4 cDRkQBYMOWKMAOiDPjKYJbvRKRg+BgiJZMSBQ7asQ1+giZySod8iOMCA00EZN+MFSIjMMsfpfO1G BApJoDNkWoyLMXOec7SBsUG4ZbmQRTrhQ9/pBocoq6UNaqWq2TEEoDjvvoAzYLQEidXx1DYOwvf6 QeayhDL59J/OcuyyP8ZplVVWyctNfYFgZPzxx/9YkGNsOVYkR+bM/Y1zOU/m1Nyt3g85p1vVshT6 gqjRmQLyps/6AsYG4WI7OFD9JEvksSoPdoBTLtd3b3NLkFRtv+sbQ/Io0F6/ZaM4CvavCkExW+Ae dIHsXVOwilgXAuOY65j7BdqBILHF2m4+IcKIC1INSL+snmxtPYBAOGWpCpwrSEVkyu+BLPRVEF8I hxIQ9gBxNWbub16wDYgwWYC2IXxIDugfmZi/vYGsBB36UzLZUORTyCloO/KCyJYghd5wyOxoWZUD fdD3Qk7BXKJDgiIEuowTmbIHxc4bI/NPpq2sZugTgqSdiKO2kh/ihLRWZQnGwg53Ogf64D5Vcgp+ p//VVRFEhP+w4iNjT/5slev5l067hnnKpoC+8G/V1cFW4J9kMPkPdqrIF2TlzLV25JRdFXAZC2NS YB4KGKv2X5vMFXJiR4vM+WTBXFkZI19zga1hG9gf9k97BHb92QzNL7H9AgDX4t/wm6LnfYUgl3yq cqvCd3yHJElVp3uDuc838JOCUDIgEwG4pBbQd8fZJv6A3LSDPhhTQWQThtSGqP6QU2DEGDQT3eRy PWyfYSsQwRuQYtQKEBcTtkpOOXNRWBUiWqSHAiMfsoM+SAajXhRfzY7MSyEZBYhxnZwy5FXn0A1E 4lNPPXWe/NpiclBSTkrEW4yg9iNuJRNcIJNpktflb5Ij9MWpMmAcTdUZ6ouSijo5da8iJxBxcZjk ytAU2SHGlmUQ40KMOkUTORWgMKoyU4VwkIU+k0dxpiYyYyVKlL2zLCeg6SvUgQoAZAbKMh+YxD7Q RE7Jzfn0H/nkmLRbhq/oDVJDP2acccbsvDh4Dr04Jg6VjOkk+Qt0LEWWDJ3MF2LBQcmwydSQuTYj ps4zbxh8mSgrDzIRjBXnVQ9iOoHMKHmYA3VjSv/dW999jBvjyCEaK5liGULOH4k1vn0BHUJO63pE /ki5cW6CcWKE6bV/kSRElqGuklMlF/S3qv+uLaAo5JQjRVAEP4gWPSRrTpmsC+rk1LjI3BXyXkBH kAc2qsB4kZ32VXWugBNxbwFClTyWx/MU+6OviGjV/mgjAo/Y0BlkfJxxxhmOnPo9PRU8lWsVIJFV coo0ImfIUx2yjdpZAli2gu5VSR+Y04hfISbsJvlymGyePpFblbi0A9nLPtbJLPlUyan7sIF1P0A/ BGBlCR/YGcFXlZyCTBS7KetU7CjfUAIc92KX2O86IaJnAiLyFIS4FgKJLFR1EHynzKL4INflF2Tw qsGU/+s7QlhgzspK8oGyxcYDmWPTBHzsjN8JCNhLATNS4rtO4HquT99LYF0gI0027caOjrORfE9V 39gHpKw6PuRidYluVWXENrCDRT5shPkmW21pu2p/+MPqqme3EEy5jn6XFYtuoH2SKlX7UQXeI6jn X41VJzDH+YuyaqnvZMBPG1e6A2RPHhIaVdmzMTLC1Qx8FUOCnFJWjqO/5JST4ARkMSiB5SARb5Wc ig448ypplM434erLyq3IqUiIk6cozvepO0OOmZFF2qpgiBmAMsgDRU45c0TLMm27rGs35JRjKKSd 8ZYlrE56fWkip5ScDBhy8C8DhfQY8yK7VjLsBE3klNGU1eA4jVGdIBVogzE3wZAphgoBKMuznYKj 4FjoVKt7NZFTGQ5GhyFFEESidFV7in6SLeOmro4hYSAQUY6xZACRG9lt88dxdZ1WDDhry712r7um 6JtuFHkbUzJ3DfdBIgQiDKl7WRbj/PtKUMmfIS7jXgWCwQi6Jx2iX2RPFlVd8EGcCrnvFByQ69V1 yfXJqBU5ZYAtwVoqRcAQOgSCraiTU5nqqv4715wu5FTfjI0AWfaBbaFbpXSntK1OThETMqd/VSfg fM7dWCBA4Dfapo1NQISRGIEfORZ0Qk5dW7u0m95w/uZTlZyCLJqg0lhVUSenZEFni3yqoAuIPSIM yKn5UP4ukFRgy6sExryQURS4CXDonOCNnveGUj7TCTl1TXaiiiZyap44t05O6RadQaZlX80z9qqM gfE1T9kQ+lEH4mhlDmEgH0FTdZm/wH3pT5Wc0mnzoRwDyRvEVH05aBNdMmaC2fo8LDaUzvNrMt18 DZ3WJxnK4h9agZ2jv1YTqvoI5g7/324TpHaQTX3+SjpYVWAfC1y/6ncK9JuOVMnpZz7zmRxk1fvs U53j7SAYbWenyE7mmO2mdwWIK8JP/mw/vWiFEpg0BaLABkmuSHA4h1zMg7qsq3BvZNZvzIPSb3Kh m+Ve/sUPqsEx4BBkV+VXVQwJcsp4idDbkVPKb5JafmxSBApnaVOWyITkhBlyWQuRWYFJIkqrkkbL AHPMMUdeKqkuuyGnJk4VyB0D1lvK3ySWJaqTU4a06hz0ayDIqWwpI2QSFMPaBO2nZCWzVtBETjkC RrFKTjksE7osrwHjJcpuWtY3pgKC8jeHaaz7WtfZCk3klBHTlpKNaQeTke4wDCJFTpgz7gsKOUXs XK8JyCliysEW0FOTG+FBlOm1LIlsWDV4cpz8ydx5AiPOwViC8WYgfU8ejHKpFXaOgIixrpeYNEH7 zQFj77fkYfz7gkJO65kLEKULTui/fiEI9LY359YpkFMOuqqf4Prk3IqcCmTNV4S+2Bc6xVb0Rk7p DwfNwRfoH1nKaMh+C5QswSN9/oY6OZWx4fA52mIfgHMgS86tEFtLqUpmWpFTmUcZ8L5mTs0D80mm D3nRfhkb87iJnCohKqUsBXVyyvki5lX5gL4gz84XyEIrcirZIFtXJaf6QPaub6mZnrqvDHRvIHfz o0pO6Qhd7JacInaCwjo5Bcdk7dgkY4JsFOiHJWBzGsGog9+jcwhMIaf1RAo4piyhuqyP0MpaC1YK 9FmWrZSsOZ/v6yQ5xNazZeyMuUaXyKx6/SawdeaezTTV+QTaQpdcsxX0tZRSIJkF/A3bJilVwPeb GxJLRRaArFUzy+Ywf2x8uwWOgScY03Y2TC2r+V8CNOPNt/Kn5p6gHclrJQP2w5xoRU7NCxlM85Ge WO2w5N5uiZ+ds1pm/tXHpAo2wnXr5LSUjA1pcsrgMXwyekhWHYQggpcRMnmqhrsAwUV8bCZgjBk+ BroscxZYsjAJkSnnMKwMAsOAFFSVuWSqLPUic5RPWywjUchSa8OZiyI4/6I8yKll2KqRVT9kcowI cmqimbhkUI3AHK8SUYRDXxEwpQ2FBCGnSy+99HCGnUJa5q2SU7JSP1PdQKH/IkKOD/kv0HfXLDUp iDNyJvNsHIqjdW2Gx9iWY52ikFOZgCJ7BsMYc2aCg0I2tNN3/kYCTbZqe8mNoawud3UCxloEihAz BsWxMUjFmSMkDDCiWCBDJgst++Q3zjHZGa3iJPyGoa2SAsSLs2fwyZSBRV4KOGtZWlkl2QhjwzGq gywycg2yKYYaCaPvaqKKbhoLhBoh6wuQGfOQwa1mser6r8/0AJmsZ9Xcu90KQCuUZf1CJgoxM0ay M+ZHnUyBUgnOE8EAxlrgIKtXXRJFBmWiq+SUY6Bvgi4wdmxEde7TOSQDMS8OyLjQ3eIYtFF2yfWr 5Npxq0HIcwG5ysq2IqfmMx0RyJTsCf1HJKr2h4yVt+graIu/Bevmhrmp3fSHE6suddJN7XeMjSlk yXnuXUDH2Df2sNQrGl/6y/axJcW+IH0yc2VJsYB+VMkpO2WulvGlS+YIwi/L2huQU/O1ShKNjfpD 1yjyIbOymbAK7dRH5LqglC01kVO2AOEXxJpTSF4V5I50Ciqr+mY+kiciTW/MIfJByOobdpTGyCCX OU0mfq+0rZpFNFbaWcip85B/tkgih741QVkGX1BsCBk51xxBiNpB2yU/kLHq2JqLdNvc48NbwT2N uSV4c7zAHGPHjVkBPSAjT0IRXBXod3VZ35xk6wXS9SRSpyBfq4F8onlSDxhAHwV65nbZX2BJnF0n O8QewdOWwj/oA5niHuYXnXGu4MQxnypXITs2hw7gO8bRnCp63ArkxibT46a2gzmgfXVyiv9o05Ak pyaoKI4wRXyf+tSnhkUhljkYR07Wd3Y+U+JWE4cxZ+QoiejVwDPElJHyuSYjbdkbCTYRKTBHYEed x0a5h7aUyWewtUmmUMaHApvIDJrfa5eItmQTOfiyNFE2HiEaJhWDRTndg7GgPBRHdOcejJaIvT9A kBk4Rtdk8NFXBLHA5CAP7dDmQjIFBYwwMs4Qy3Jov1ozpJOzo7zarF7Jb53PoOuj64055pg5OjSm 2kK++sYBMShkh7SbzPrLIQo6GHljgAy3W4aog+FBQiwtabfsl7FzH/ojs6HtnJio0pgx9IyFiFvb 3Fc/6B3niYyXTG9fwEjSNw4I8ZWJMOn1CQFg2JEwsi9kT6bMZiCyQFqNlQBMu8hIIGEpmg4joOrZ LIMbE/3VTzKgu/RetExnyZSulfswaMbS+NBV+iCbYgwLgdJOQYvlVwYLSaOj2lx14J1Au8wj9yj6 7+Pe9ERGr2RajLc+uo/so3lqvOhR9XEmnYJRpw/6Sv6FdHGOCCS51uvNwfiQa7E/iBeiwtn7jiOw ocVYGB+OFtgw7SRLDl9gYI65j3NlL2TWOXXfGxM6KhijK/otW1vICqdDZ/1Wls09rd7I7pQlfTJT t4uEI5FkWwXSYrOSdtKDsgmD/bTRgf1RS2guG3dj4n5slADN/PZbMnS+f+mYY4LLsjpCRsWO+AjM 2Gxyc241I4UwsANspkSEcTFO7HQhWRw2Z0eXEfES/JMJx6jdhdgj3dpFzpa4yUmAYS6XFYV2MMbm K/1E1rVHu4sfKLbevfVN4MZJA/tmKZTtYCfZRfqBGNA5cxlRrQbaruU3NiFqZ500OBdp00d9QBb0 yzj6FFLjOvSJzUSwizz4Dv3R/kK+wP9l49kGgaBEAR9hfNiSInvXEbyZ/8bA/GVv/K08BdHxPRkZ R4GVcwQybJqx6w3ayA6xc3RNcEIm9Ng8oMfF9zaB3hkL/l1gjwy6lr5oq0SLsTAf6ZYMfMmMGzsr q+xttWxGcMMeSphYKTFP2dBWpRN1FHKqHfrBLpe++Ug8mDNsIb9i/ABRZkPM/bLC694F9I8fRkrJ mp6SnWPFt1czyPppDrMd7FzR1d5g3LWP7TMX+XNJBbpNn8FqHf3hg/An4NMEgY7Rz+qKacEoTU45 VgaYknfyoXwlC1YHZWMcnWfyc/wGj/N1jFAL8UGURFUIBMdIWTl0xhupKVkREazBQrKQoOqAi+Dd gyN3HUZedFyFGhGGnpGWqdQeES+jok0U1T0oMQJQDE1/YZLrHwNeN9Qmv8yO+8tGVKNvCmZi+45x 1B4TlCHn0KvG1nKW89zHpDIJyzVlAJEEkxH5Rkg57QL3dB4SgiwiyO3qaVrBpJEBd18fxq+6hOl7 Y0sffG+8quSXYUGSOGrfM9ycUbegH2oWZSRcr5Ag93Rv1ycLTghBrrYfobUE5/7kTXZk6DwOhjHz e+caoxKkmQ/GzSqB3/lef2VKqplHuul3dFxAxQDrd8ksaLssLJlwRsZVPzpx9K1gTAWXjB8nzmjL oHGKxWkAvaL/2u6jn/rTTeYUtFnbGdeSXSAvf5sbZFoHnUX4zOUyL1yHA6RDriM7gahqY8mYsRUC O8eUdbBBxpuz5ng4E46TE0bcin4aD3029123atfcy/KncWL4talqe1yfnhR51TcPkRs9LN9ri+sr RSrHtI3NRFj8bVm0ZI21TbtlKt2bLpGn9iBypTykat/Mf3LVx6L/xbkVGAM64DtyROCqY8wus5NI LyJRdETmqOh2VQ76gKhZ8SInWeRO5y/7bc6xP/pFPwUO5W/3JjNZIX/T4RLssYvsvfZYbgUyoxOO +ZBlXX/NYXI275vgfsaKzN2T/Pmnkm2uwkqJzDk94aPcE4ERTFTJKf3k08q8R9jogSy/AIBdKvA7 hIOPKueyGaW99JTtMq7mcDmnrn/toC/6pG/l+saNDlWz/E0wL8xRK0J+z4+an35PX8sqoLEp1y8B HbKnX3wOTlBIIhgn9pbe6RPCTbf7CuPr+oJw5M5YCBiQ0HodNL1hg9kZvtSKWdOqcYH2mIdN8kHI jakEmoQCYm1uVG1KOwg8JJ/MAeOgvcW+gTlX9Jr8gczouGPGcMiR00AgEAgEAv2HBEp1WT8wOIHs IdWCAwGb/ytrEChWkytVqFFFBpsSOBIMsp4CKwkGWX7lS4hqq6X6kYEgp4FAIBAIjOYIcjpqQAbY CoNsJSjxUUsrA1ldGahCVlXpShM5RXBlhZFRZTky08oErNJ9kghyGggEAoHAaAzLvUpx1D1WaxED QwPKkZQA1TfSDWYEOQ0EAoFAYDSGel07/W2oskxc33AVCIxsBDkNBAKBQGA0ho1gNpl5soNHEFU3 /AQCnwSCnAYCgUAgEAgEBg2CnAYCgUAgEAgEBg2CnAYCgUAgEAgEBg2CnAYCgUAgEAgEBg2CnAYC gUAgEAgEBg2GHDn1tgOvwvIqRx+v96y+NjPQHh7S67WX7V4DFwiMavAaRq+c9JDpT/KtJ3XYFe3V vF5f+e677/YcHf3glZ6er+kzmMYnEAh8Mhgy5JTz8c5376rfY4898vuCvWfZu2q9q/mGG27Ir/Aa qkTVu2q9A9l7gb1zulv4rXfjlnc+B1oDsfAuee8HpnuBgYdH3HjX/2GHHdYVeSvvG/e+f3bBe9S9 d/22227r+k04CJQ2eZd3efd+K3j7yhlnnJHfvV1/taBnSV5zzTVphx12yO/jZrtGV4L6rW99K8tg q622ysmFeJRRIDB6Y8iQ00cffTR97WtfS3vttVc2+MiCNyKce+65+b2xiy66aCZdQ/XVbPrlGXUz zTRTOuSQQ3qO9h2c+DjjjJOdb6A9kAvEwyv/vPqvr0BEXn755RGapZYJ94DtN954IxO1UQ3eB73e euulcccdN73wwgs9Rz8OQSdZ/uEPf+g58hF+/etfp7333jutvfbaeV54H/WUU06ZVltttRxYdIN7 7703t2fVVVdNL730Us/RZvh+wQUXTPPNN19ekajCuLjGuuuum5Zddtn87+9+97ueb0cveBXj5JNP nqaeeuocTIxscipb6/merd5N3g304dVXX82vlaSDPgKQH/3oR6PUm3oCgU8CQ4Kcep/s0UcfnTMj nFH17Rac1i9/+cu07777ZpIqkzEyoS2cqnKDEQn9vP3229P888+fjWFvQIyalu+fe+65dNFFF6Wn nnqq58iIQSFMoxIeeOCB4d5NzPlcd911XZFT8pfd32233bIDG1H429/+lh0ix0jeo1pGCmm46aab 0gwzzNCSnDrH+6U333zz4d4HjYwjPSuuuGLOcpr7zz77bDrhhBPye6RffPHFnjP7BoRTIHjBBRcM y5xqg7ljeboKZMdqhqCvnmU1JmeeeWZ68skn0/3335/nxOhagvT000/nMd56661H6rK++fD73/8+ r7IJXIzhQEHCZIsttkhrrLFGWnPNNdMCCyyQA3+BkaArEAi0xpAgp+rIdt555+yEq+ShCo7Zsv7I jlgtt8vojmiyB5w3Q3jZZZf1HGmNW2+9NS81vvnmmz1HRh7IRMaIMx5VILiQfePIqkDwF1544T6T U44LObn44otHaDZfuctDDz2U9txzz0zcWs2PwQzLvLPOOmtLckp+5r/M6PPPP99z9KMxO+KII/JS cTUj6TgS2a0sEEjBRZVsIqxI71133dVz5H8QPAsS6q+E9LrIobqS01d4O9E000yT9wnU5TQigZxK aEw11VRpxhlnzAH+QEB9M7LLFitNkaW/5ZZb0he/+MU02WST5eAoEAi0xpAgp4inui0kQYZkRGcp 63A/ETdHU81MMbKykDPPPHNeMhoIcL6tlv5kgiwN9kZOGU4Zu5122ikvhXYKRIdTt4GjP+DEP/e5 z+XluxEN2TNZGffqT9Zc5mvSSSfNBKk6xkiHTEg3mVPXev/993uOfBw28z3zzDN5vPoLuiFDOyKW 9ov+k7NM4UBnZ9VBf+ELX2hJTpFFzr+ul0iHbOo222wzIDJsBcEWu7P66qun66+/vudoewhyJppo ovzbUR3k35/5ZfVGdnuFFVbI82JkQ7utuk033XTp2muv7TnaP6hLvvLKK4fLhBvrCy+8MK+07LPP Pj1HA4FAEz5GTkX5N998cza2MpJgmYVzPuCAA3LGDUkBEaHlkO9973u5jmb//ffP2aWDDz64cdmC I5e9kclYZZVV8mYl1+hvzZ3fi7ynmGKKXHOpttQGqBG9hO++V199dVpnnXXSlltumYmh5b5iYMmJ Ux177LHT+uuvn78j227AQYvEZVvUp7lfPfOIgPhu+eWXz8bWBwEtS5oFliNnmWWWnKlQ6kB2nLfy hw022CCPTRlj8P/HH3887bfffmmZZZbJ1999993zGMs+ySDJAKoNdM4pp5ySl+dcx6e6pGlZ1RiN McYY6ctf/nJ26DK4fQXi4bpk4h6bbbZZbk/VGcjCGJNFFlkky41udiN/+i/jMeaYY6all146rbzy yjmbB3Ta/WXoLPHbcOPvDTfcMMu9mp2TtdfGsiQsoyloQVSq2SJ/2yCy5JJL5lppjlsNcJXIIK7u KSg755xz8hiSvwyicQT6aW5aUTAf9J1Mylggkeaztpq7zhG0aL/xc/7dd9+ds64y8ua/JegqZIC3 3377nAV2b7LR1m6zX2zOaaedlueLdmyyySZZT8Yff/yPkVP6TgdsSKNDV1111TA9dx39ZhNkxLTf xzXLR5lGgbGiK0cddVS+ZpkH+l7NpllpUEJkg1bZNEjeZI9s0mdzoIyBmnd/k20ZPyRevz796U/n TUB9zdbRITLXPvZ3l112yfct9qdes2lO6KuNYGwV2Sr98YSAAkGveXvssccOCxrNeWOp/fS0OrfM O9k/9s+8Yhf8thuwYwJ4us53GG99O+mkk3rO+Ah8E5kLvo21LLWgpJMPvWilk+boJZdcku2S8oqB gLlX92uFnMqcmt+BQKA1PkZOTeITTzwxOyzOEzhgEaWi/urS+Q9/+MM08cQTpznnnDMTTU6S4bZk i4BWl6xkNThTJMIEtVnp5JNPzrU4jHO3S2wFllddX/Q73njjZUPDEMtcjqhMqloyRI1R56SVDXBq 6ltlqHzIQXscY1CLTPsCjpPh5vg5YXVqakvnmWee4RwsZ73ccsvlTFExyjaHIaDIg++BAUZ85p57 7vwkAzuXGX7jxcl+5jOfGeaIODkZN86HE1L/xzlwhBwIB+FcfZtjjjmyg9YG+sDRI3UcD1IK9IBj +9SnPpVloj99zSorkVDLhXgjV5ZzbaRAzEuGjGOda6658r3uvPPO3McvfelLebz6OgbGUd/HGmus 7DxlSYtOmRvuq4+CIt8hcQiR8are64477kg77rhjdoQyK65hLnDyJesnk4p4CGqca+zJfNNNN83l IaUeDzl1Pxtz6IH5at4Zv+Jg6aXMofmFrMl60x1kjqP2cX3jLStsLh5//PGZZE4yySS5T4XI6DeS L+NTNvYYU3qAwNA1WV76NP3002d96Cu0ERGiV+SiH2wMoizbVCWn5EXPEBhZW8vqAmTtox+IAbmx WVZU1KQiQWRBd1yvGqgcd9xx2ZbZlGMDE92iO/RqiSWWGJbhpl/0urrx0LwSlCAd9B5hMz7Abhof 7So6I7uM9Ap2bKjr6yYobWDrLEWzpzJ09913X5aZewmgiu0VWJojCy20UNYrS8tsAt2iP0WmxtK1 zFcBDAjA6J370JNqLSjST1ZkhBz7v2t2A/pD/8xNQZvrIe70sQqrPNqnNvXzn/98mm222dK8887b 0UdwUCeLBea3JInSkRJ0DjTMNfNDH9klNikQCLTGx8ipiSoDxOiYsGBiIS+IFydVJjkDiJAstdRS OdpmdGV9ZD4cq2ZZEBpOgjFm6JEek3XxxRfPWcCSpe0WrodYc2YMPwf52c9+NjsXhHqgl4tkRixD kRMixPHrg0wIJyUroU0cgTaQi373lYRzqJwjx0KeroEQIcMTTjhhJqIFnORaa62VszUFHAqZM4jl uDbI3CBRiKeIvmQVkDhkupBT5wo4kE5y1R4y5og4pOKgZV4QJI5Rto7DpR9ICqKFCMgc0i/OkmO2 s1pfqhmZTmAjkWty/K5p3BE85LPs1t51112zg3Mu8st5Iw7IXDdO1HKtXd6IkDYX0HlzgNzJ0t+I CTIigCjZNWRUlhMBkDkrKEEfuesL8ogY0hsEzPgZA6SKTpcxdK42mWfIknu6v/vQEfqJvBkzemF8 3RcJkzE390Am0EYNQZ1AB4GiW7KM9E7wYRzpN9KKMNB38GQMJAHxQ8IfeeSRHKDa9DHttNPmc/oC fUeuXKOQQeRKJpPsq+RUhlBpiD4XIC/IuUAMkGiZYPalkH/6hzwKqKvk1HX0hf7qv/P9nu0gL+MK fi+w9vsy9+ivcWELyEvby8oDu0mO9LFkdcFj3wQF3do9gTDbKWPOtrE15rFAwvwtZSZ0lY6YG8qf tJX9Ro5WWmmlnAGmXz4lMDCO4Dx2nX4Y4yo5FawKvgQFZEW3StDSF2izwI/cPWGFnNkOeuD6VWij 9tC/Tj/mlQQF+1RdDarC3DDmI4qcui/7I0BAqK0ylSx6IBBoRmPNKQPLoBdyWqBWkLMv5NSkY/Q4 x0JuGEkZIlk5JAQ4UuQBWeQAfGeSliVvS66M3ECA8eUEOGdLlZwaEmd5spVx6gYcnD7ILskeyTAg H7JXnBEjRxaMI8ffLTgFv5dhrBo08patkdUojhcJ0ZZ6zalMiIid0y4O0vgat3pWGfm0hFoII0dr WdnYMa4CFARAP0vWGJAiWWIEpuqkjANHI6tTnBu94pi7AceFWNO7qiOxVM3RIw8gCyY7i6Bpswyg 5UJjIwPZVyBfModF1gWIGzJpbhSQKdkinWUOIH7azAHKZsowIhCWQmWQy7KprB55FXJWgBz6rhAv kCmkd03PpOWQZfcQkHIvbbSciFSWLDryIhslsCjzA8lDol3b3AW6LBBxrGQqBWfmFhJBxj5Iuqw8 OfcFxk4mT3vrmXRzDdmtklO2w/giNvTOR9ssb+sv0BU2gL7QzwLETra7Sk7NJ/MZmS/2TZ+dI0tY 1TVERnbVfC+4/PLLc/ubnneLyNXJKYIrE1/dVNUXIGn6IHNciDMYT0EMXdd+ds9cEJRUYY4qzWEv CsGXUbfaVEoSgFwQxzo5NeaIe3+BtAmcZX+L3BHukq3tL8wp7W5n++m4IHFEkFP3R0YFquymcQ9i Ggj0jkZyilAx9HVyyqmLtKvkFEmpL+Eht4hMqTvleJAWzpqj8beMTfnIKg4kcQRGVdZCNoZj46yr xrW/QCoQbUQQYbHUJoPhXx9GaSDIqZoyzoVDdb0qXBuRLEvHrcgpZ8NpyxiSN8gicgK9kVPOjhNE OBCS0r/yKSSqkFN1rohUgeVey2pV59YfcirjR+eQTSSpFTh+WT66VW9zN4RANslSfZFfAXJaf5QU 56Pko0pOBQiIMtJa2kA/y6fI2+YqpL8+H+iWMUO0CpBTRFcmuw5LpUiVGu/6vXzK9Y0vkmnsCgo5 FcBUYe67n3rfQo6UjMhQ1WXs0xcU/UGqquQIEAdzqEpOZU3Jsz6+5KRPUMgpUl/NUNJx2cQqOQXk VPAtQwdl/lohqBJmWUL6V60b7I2cykrSlQIkxRzoa0lLQZG/DGxJDBTQIUF5ab8l83pdqz4KeM2R EqjI/lqhqcrfSoSSoiZyisz2F3RKcGf+WOGRxOBPjFfxMwVItOy0jxUqv9UGdk27reqxy4ITZQ9W hvgdvoycW/kYsjB+A01OjYsSHvaPDrO1A+3nAoGhikZyyqE2kVPOQ/akSk6RFhOvCuSUY5ZBhbKb XuZooN6k45ruU81GNKFk7qrGlVORNZDNQPxE7n2FJVXLudrQCpyDzEB/yKkaQI6miVzLuCGSnC20 IqfawEEaA3IDJAmBqpNTRKe6rF/ICwdfJ8dVjCxyqp7Q0qNsXztHgpzKBg4UkFMZqU7IKTmpd1TO oa4aCjlFfgp5agLibbNa3YkhCWovkbeCduTU2KrNQzjaZWo6Jadl2VeQQ+6Igt+ZQ1Xi1y3akVO6 T5ZVcure9WXfOgo51cbq3EHYZLKayKlyiqrsyaJOTmVO2bKSoYXeyKl2NJHTuo3tFIWcXnHFFcPI dIHsNcJXyKnsttKIOvy2Sk7VeyJ6Vfmbb/X5C1a7+ktOjbk+KBtA9pVDSV7U7VyBwMM8k90mf1l2 H2QVEbXhy8oCH+UccnAeXWEDi02ro5BTdrrTpy10AuTUddmMIKWBQN/QkpwytPWo3kRnAKrklIMo DrigTk4ZSYbcErjC9IGAuka1bZxou5IA2UHGj9MoGQaZKdkETg+R64acIitqvpDcKhmrA/njWOuk plPIfJXl2ep9ZMMcl70tpLEVOdVPy6A2uhVHZjxkZas7dsFYKrUohpyjQGrdR8asFbohp91kMBEt JE1WsF1gQF7O6aYOrglIHudpTlQzVQiHOlayrALxEbxwtkA+yB6SXyVZddBX8q/OKfdDEiwlV1+w IBtmqbCJnCI/Vi/URbaTAXKqbENtZkETOaUnVfJI5+iabJMx7i9cD9kpqxylnACUhNTJqcCjt/Et 5FQZQxXsG/vURE7dq+i+NqnzbiKn5n61xAIJYR/r9s3KQlPN6UCRU/pSnUeCT/Xhyh2A3pGTTGMV 5KZNxrm0q4mcKkdRX1snp8p8kML+AHE2RxBH5Th0yUY0dsa4NcFccC7fUz7+bvpUzyk2sgmFnNIx 498E+k8XqiUU7WBMfKq2ArTFSlu1VppvoA91WxwIjM5oJKecjQyJjU3IValPkqVDWksmxqRWG4T0 lMlv8jHQNhGohyrHGWERLGdqGZAD4GwYeDtIW0XLrWAnL9JjY43M6HnnnZeX9YoxQpA4cqTMPaqv NWTUOX8GzMaK6lJppyADhlyWUZQue8TIc3xqjIpRYsxkwpAlZKKbd9ZbvkKmBQJenYgYq3+0tGlZ r6A8pglpIFttdD/O0TEEpwA55XQtbyIdZQOXOjLXLRtv9ENJAWJGzoy4jB3SLPsqa04P/MvhW1LU PtfyKZnf6rKmsZPZFDRor6XhvkBWEFlGBugqXVKfxrkW3eRIOH99953MpYw5/e1mp6xx5bzUSwtu 3Fv/OBU6KCta+kcP3Eu/1XmWOYB0cfSWGs0BOs8xWfqr6mcZAzWcSjboE1nZpFSyrhyfjWrGhYzL PaogcysD+ozMGCebjZCKQjC1X5attN8x9zTWZEdudMAcNb7mHDLsPO0yfn6LhLuHUh7zqR6wdgK6 vfTSS2dS7dquR8+Q8rKzvdiJMr7msowaHbDEzw7IWgPdkD3TDzqrzfqivhEpQuwK2TB3ZJqr9o19 oOMy42whsC3mnLElxzIebJ5rkgW7YEzMKZk4NggJ1D7QDv0qfaoTmE5QyKnla9ctZAwRF7R79ByQ l93v2mseOEdyQXvZk6o9IhdjbHmc/dBPJJycybHUW/MJ5i+7Vl956RRIu3kvMVCCG/Wurmsjo3EY WaD3Al7+TXBtfKpA+I2poFEpRCewIdK8ssJT/SiRoGeHH354Po/uIuIerVfNxAcCozsaySkwchyf ZXsOFanknC0RWUY2gdW1mYB24ZesWjGanKLflCUjQAoYb4bS7xgDJNZSWr2+qDdwKhwsI8v4zj77 7JlscWyW0SzRuDaSUHX8jLO2WZr0/5It6QacGOfFQbumD8PjnsXh6JdaXd85j0PsBoiNfhkT17Ic V931DTJeMkqWevVLxoQ81HHJoFSBTPrOtZAe38sIcThqKx0v4PhlN2RjHPdxbYQXkREUIFQCFd8h RUgXXRCQGAsEoZQUgN86ly709fmIHC4SgijJtiCqyLvNWYW8AEIp0+c+dI3OKQmoy60TICFKXfSb fOg+QmBsXVvfBTqAoMleITXmAmIEdAEpkanklM0tc4e8CnEpEBAaR22nx5xZIUJAloIu31sSbcpe 0k9BBodY9IZ+yk4h0PRfGxw3RtrvuuaT9vsg4jLxAjD99OHIy3w3d5Ayx53vWuRTz953Cht49Eef yU8m1fhqv7ZXN6QZX2TWuDrfGCCBspycvrmpPT50nN1C0BBvbXXtkrlkl8q5hXy7hr/dGzkD/aZD ZcyVaQA7V0igFSJBgGAQASzXNedkhBFhtsoxNrWbjT/FzmqbthsfS+3KFdjEKsFSY2yp21xhQ/yO 3OrlWGyAwMk1yZ5MXVM/2X2yovPmmflW5lw3sHueHM2jkrlFAF3Tv+XYiIY5YBWujBEyXl8xJD8r hjbgVVcu2oFOkqFrFltQ7mE+llVF+mz+06fqpspAYHRHS3IKSAcCaHKCaFo2oJtIv4CDtpGFo/CR cWTw+gtk1RIU0iJjy3E1GTiZIg4E4dIWmU8ZguoyYmDUAYdqk1S74MbYyv5a5h1IIACILj2u178i yRywDF/JqA42aH+93MRcNJcQW5+SGRPgsQX6av6W7CLIgul/uzHoK8xdRLBKyFuhL+OLDAjiqu3v C8iHzSIHKwQDUW/bDQo5FQgLHIs9bWfH2HGkCMlk25tQ7LPMfrH7dFzw1B+7X4f54bpV+29sBLsI 42CDml1BktWZTqCMTBBSgpx29fFW+YxdNXgPBEZ3tCWnQxHIq0wiQ4vYyMbIDjVlngKBQGAwopDT es1pYMQAKfVEgHYkMxAIDBxGO3IquyJaF9H6yAYNdEYtEAgERiSQJCUZygpktdmywIiDOmZ11bHC FgiMHIx25DQQCARGZSh5UPtomVmNpLKkgSypCAQCgU8aQU4DgUBgFIJ6RhuXbCjyUWPf7a75QCAQ GIwIchoIBAKBQCAQGDQIchoIBAKBQCAQGDQIchoIBAKBQCAQGDQIchoIBAKBQCAQGDQIchoIBAKB QCAQGDQIchoIBAKBQCAQGDQYUuTUK0m9Es+7sesfr4e76667hjtWf/XgP/7xj/xqw1av9gv0H57H 6PWJZ555Zv54sLXXzvb3LTder/jSSy+NtFcfeh+39ns49/XXXz+sP95Adtttt+WHpHfy6s2RAa9R 9H7/+ustvcLTKzgH4vWqxu+VV17JfY4Hwg8+mBe/+c1v8ithjdMnDXoSD7QPBAKtMKTIqffmb7rp pmnhhRfOz//bfffd0xZbbJGWWmqp/Kq/gw46KL+6dKeddkqLLLJIOuyww/LvOFNE1fdbbbVVuuWW W/LxTuB9yBz/66+/Puwd0QMF7z3/9re/nS655JL8vvNRHYjpcccdl9Zdd938nEaftddeO3+M0wEH HJDJUjc4/fTT0wYbbJDfYz0ycNlll6XVV189zTvvvGmBBRZIG264YTr++OPTIYcckvux4447pn32 2ScT7zrKW8pGlnO+//770xprrJHlXQ0CBGPekCZQ6w++//3v5zllHN1roOfBYARydfPNN+d+H3vs sfl99IMZ3iK16667Zj1g5z4pIMfkxc4K8ARIoxO8QOHCCy/MenPyySfH2wl7wAfzoXRjv/32y7rK xo7KoOueQdxf+zqq4/3330+nnHJK9o99wZAhp5wuozvHHHOkPfbYI11zzTWZGHz3u99NM844Yxp7 7LHzm1Seeuqp9NOf/jRPggMPPDD/tpDTzTffPM0222yZbHYCzv2oo47KZMtvBppsyGgh0N79/8IL L/QcHXWBxJDVxRdfnJ588sn8kc1mrFdbbbU0ySSTpCOPPLLn7L7h8MMPTwsttNBIM/YytQKdT33q U1nnZCXffvvtPE4I30UXXZS+9KUvZYJazaDSEe/pFkiNrCyv97DPPvvsae+9907vvfdez9GPoG3m iBWHbiGgQEw/97nP5SzyyOrXJwlz//bbb8+vEPW55557er4ZnOAgLr300rTEEkvkwP2TgpWpfffd N0055ZTZdo5uLw9Axm+99db0xS9+MX35y18eFFnswQBJBf5YQskK1Morr5zt66gMNmG55ZZLJ554 Ys+R0RMCMjZn0UUX7TnSGYYMOeVkTfrrrrsuZzOLg0R8pp9++vSVr3xluOV6ZJahLPjtb3+b1lpr rUySOl1iRmhNpnPPPTf//7///W/PNwMHS3FI3UAsvX7S+OpXv5rOOuus7Cir+OCDD9LDDz+cDj30 0EzqusGLL76Yg5FqgCDoEIiMKMj+IGTHHHNMz5H/gT587WtfS2uuueZwgQVCLitw55139hwZ8VA6 sdhii2X51LOaSmF8j7h2C3NNecNUU02VfvzjH48WmVNgc44++uhRgpyC4Gnrrbf+RMmp+fnQQw9l pz06klPgX6wgbbzxxtn2jShYeVNCNbJWk7oFO630SBLmiSeeyPPq8ccfz2VaowL4fdyiPpZWK+67 777sm0ZnmPN8z7333ttzpDMMGXJKQZCe6jumEbr1118/ffazn81L9RxxE/yWwZQ1Pf/883uO9g7K KHVvyd0EG1Hg7Efk9UcWkDkZzqb3gOujbORA1vsiiJbXRwRkaGeYYYY0zTTTNGZrX3vttbx0hwjI 1hdcddVVaaONNsokbmRhyy23TLvsskujbMmdAZ1//vn7tcQqeyoI5FCGgq52CjXGiBYSMNghAN9+ ++0/UXIKnLU2sLVNtmCog9+Q0DAvRyRk9pUYDfY9FFYhrHTSiVExsBVg7bXXXnmFKjBwGFI1p3V4 B7V6wBVXXLGt0+SUTzjhhDTXXHPlaLM3IFEIx6uvvponVh0iPxtiOIMmmIDOKYYZqebcZH1dswqG 3MRFgqvLpSJLnwLXsBHHMnmJ4PRZvywjN0XPMikyedo6IiP4AjWPn//853PtCeLYKfSNHLRTVrwp yGCA9adq3HbYYYdMIOuZ2oGAesOxxhorL2fXQZ+uuOKKNPPMM6dtt912uOzQt771rVyfqi91aCe9 qOqpPtG3biHoWnzxxbNutCo7sbQ49dRTZ2fWLQo5rc8fgZ9jMuN33HFH/tcyTzcwN+h8WdmQkSbH diUJ9F6W2njRobruFL1ynraStXuQe4F5Zy41OXklKssss0wOOp555plh12qC7JCA2fiW+1YDG21z XFvVY7ayH30BWbmPeU5OrcgpvSvyHKhMm3F2TxmkKgRulrRvvPHGj9nkIv9WZUx0mA2ojk8dbLL+ 9FZeosSFjEeEfajD2D7//PPZjmvbaaedNsLIKRsoA2n/xTbbbNN1/8jYdUa0fMjj4IMPznZqVENZ NZLY6na/xECAHpu77NRQqeMe0uT0G9/4RppssslyfWm7pXrG2HK+OhdGhEG1xHz55Zf3nPERGD3F zZbyLI/JmHD+BSYxMmhD1qyzzpo3y9QdvqJvy7ocBDKqXQzVnHPOma9XlnsRV5ssLEvLOKrFLEv7 2mYy+A3I3FqWRcRWWmml/Dsfm4z0372qG3Mosj4wBq6jrSMj6tMX7Zl88slzIMB4IqyKpQUSdRgL GUYbnVZYYYW8mUP/nF916ldeeWXe8LbJJpsMI4KPPvpoGn/88dOYY46Z5ptvvlzjpR5yoMDJuzYi UQWHrH3kSr5qkZEeoD977rlnrrutZlNBDao+amupC3VtNYLKTboFfaSHylss36vHthmwWleNPKr3 1e5u0URO9fvaa6/Ny96rrrpq2n///dNmm22WnXK9/70BsTOGdNVqiLmi1rfMM/pcBaehj/RFQKRt ssMy98gRkLl2uYb6NjVv6pb9bewQRNclL5vf1BDXyzEEfuONN16ae+65c6DiPPNN+Uohs+ai79T9 Csxksc1dOkImYMxPPfXU3F6lQnTZtcivG7ieey244IJpt912y/1wTW2ok1P10paYkWz3J1v1qUhD N0Ae1cqrMdNHbWCDC+lVqmQu08lqcK//ZE3+xpbMqiTV74844ohsO8hb0gGpKbbNtWyi0QfzyD0E h2RY7Ytr2l/A5tNFJS/uXUA/lOTYSGuVQ/bRNdoR4lYwBwRk6623XpaD+/Ed7lknp/TFHNSuMv50 spOESRXky86wf5NOOmnuh/HQb/6I/dEWm0i//vWvZ9vpbz5AsFDkQ8bGj19kOwrIh2/lx8wb13YO W8UP1X2J+5R76BvbWfymYOPss89OX/jCF9IUU0yRzy0QjLq+5X6/pZfqN0tiQ0KFfTOHXdfY0wd6 51w2wO/MaTZUbf0666yTj2mvOcrGGmPH2Cb+phrA0mXzqLTf3GQDSlDF57Pb44wzTr6HjLgAxFgq UeO368Fz8b/lmksvvXTmAI6X60om0F/BhT0MbIZz/Uafq8kke2nIqMwbum9TWT3R1Q5kxU595zvf yZt6y/gIlpWgWIG0Mbv41xtuuCEnf8wvAbo6cuOvjX5fkkRkae7QFfLvC4YsOUUSKMunP/3pXA9W CEIdjht8zouxdC7DoX5OnWp12Ynyc1CyYpZCDUbVydv8otCfw0Fsp5tuujy5CxAqA0eZOUyKS9FN VspnkjIs7smYUwqGwIRllPWJUvvtGGOMkTN3lJRiMMictLaL0BkPE96yM8W1ixqQYe3jpDwJwISc YIIJhsvCjigwRPqrDtNGIvWa4447biZG+oRMIyEFJogMC8U2cRB7im4MTNAyUZB2joxBKoSAXMhE 30SU6ovbBSh9AeM48cQT5z4wjIIHciRnjkBm1HjJVlWdr/Yj5NpaJWf6rO+Ms2vqj00B+s0BCzq6 ARkUssRhuK6205EqmeP8OLJClLpBEzll8Oi/cdFHWTF6aEwFJVUD2xvMiXPOOSdNOOGEOcDhENWY ux65M8pVJyDYQXSsnDD8nA5HZ44I7krGzLK8dk877bTZocvuOlcpkGyysTU3HnzwwWx4tb2amfB7 suMMGHJjzMAj5Iy2e9ABbUAUjCXdZaidI5NuXsi+zDPPPNkBsBPmMCLNmVYD4E7BdpGTVRekyrxA Qt2zSk5le5ElZIjtY2/YLv1EUPuaNXMvBGWWWWbJNebGiRwRHZlSkEnVL/cpRMDYIZ0cnrETXFp5 YC8L2EZ/6wdCyu6xY8YT/AYRZ8eNl3EwZtpRglkklQzMV85bf/WTrrgvp2oM2XVtEsAgaq7DIfcF iIZyMnaYzLUb2dF2ZLVKTgUT7LG5otxBBsycISf+oS8rTfpIBnSaTvEl7uke+uSafAf/JFg1/hNN NFGWH394xhlnZP9nfmkDW4bglRUcMtMmtttmY3OZ3hoH841Ol0DEiiB9kNThM/kyv9EmICO2mU8U fJI9IHh02PXMF7JDEhFPBNFvtJUvJt/PfOYz+V/3EmRJHBhL85Kv5Gv8FvlHGo23PgrK9NPYsrVk Ye4V0Dekz73ZbPJCbNk2YMPYaX6GHJBd5N4YsFcIptXMAnrI15sTCJ/glo0hE8eLjzLn2Qsydj/9 ZE/4PkE28lpApmygNmoLG+d69UC6HciK/VKeYK6WRA7bZA7wI+ZWse9kZmyQcraCvt19991Zftpd /Jvr0j0+R9v6giFLTmUlGS4KX1W2Ojg9A2LAnUfIHA5jQnGLI5L1M4EYOoZCMT9nVjZVMbSMAQeI RHJIJimlNdGAoUeUGCyZE4NFgREH2U+KbsJRQgaUAjIooniTE7lgsGV0TEQREhJDOTgZk0t/baBy bdGufpg0ZWlNtMgoecQFBRJxmhSc9cgAZ0Q++myMGBMkEomm6KJ6bTUJfGfSmRwloiRXQYAIsppt 5fzJoZBTIGdybBWYdAvZDEGPjAqD7Z7aTIY+DDPjVL+v5XNRep2c6ivDIILmtBgixsB13KOvuxwL GCe/pS+MDNBFgUA1E+L+ZK9Gtls0kVO6zQlyFgIv2SmOxtgZ1zIvOoX5YY5xbOYLXeIk6IF7l2U1 cjMPEVbG3+8YSfPPcfNGtgEEphy4uYpYuZ5zkQTGVwBkHP1r7vutuVbAVpAxUlt01P0FG3RZUAVI AWIqAHAtdofemN/+RhgEacbA3ESsGHoBizb3Be4pmysILOMOdJWDKeSUbfM4I8SEg7QCgZhwmmyE 4NuybqcwHuacuWyOGiOEEumS7S6P1CFPhM84ltUgbUYkkDff+7BbZFjAZrgOB2+M2BEktLTRhgvy o/d+r3/GylwrSQZzi2zcm00V3LCh2mx8tZk+lTIw+mBuIvnIW1+gjWSJ2CF0/gZ6iFBUyal7soOC XXOTQ/cxhsYHwSmEqDdotzbLuvmQg9+W/vAvZbXAfDUGdL8ECjK9zvE3OfJZ5pd/QT/MH/OGjWbz yJfeI44C8DJHBF3mFp/pd+YiOVaTEGQu0Nhuu+1yG13L/d3Tb7Xfb/3Lhgh4+Q5wPTI2pgiyNphX xQ7RFUSUPpOnazhHcM438C3miA/d50PN5QIBIhtMj7VNACcxUWTlGN7ALiHf2l5krZ/me3V1ja45 V4aXrjuf/BFLOoj0+b3r8wfaTRedx/fRcYGS64D+SXLJKOsbWSL4iGJfAhpwX0EZjkHfC4wvPoGY lwBFe4w10ikAMQ5+r08SCGRZwL7RE+PUFwxJckpQDI2MRtUANkGkwmkQHqWmhIwbASOFlAypMHFk A0wAE48RFnmbvBSEM2NcqiTPBNKGQqJcS9s4AZEcJRPFuUYBsoug+JjA/mbYTJ5i7BFlmR2/F0mZ iAw0g8PAq3+joKIfBsRSg3s7RyTH6coWIN/S8gyZ70cm3I8yU3LGWr+K8+dMGELBAKdZXZIDBk8w YQwKECFBRnWsTVDGfaChbEOGs7rk2AlakVPjjySJdk1gxNT4GXtEstvn/TGq9L8YFCAfJKFKWgo5 7avxqKKJnMq40HPjyslwhj6WEo1XtV2dgrEWCFbnDINYJafkjBwqBzFnquBUjZ85COaETAOSaW4W yFaYzwUMv3nE0VWXd/2Ok6vu1qfbgkCGu7piUYw+va/C9WQ5zV8yK3Lyf5kbwWZfoE0yR65RBdvE oRRSRP50xBjJliB21fvKMlXHszdwQpz5TDPNNEy+ZMGpkl+139pQ3a1vPNkC57N7ghmZrWpJizmD GJSsrKCLzS66wC4j+eYRZ8o+sCuFSABSLMtGN5BmH7qpz7JnxoljFbS7vraUthdy2SncV3LCCljV vvo/G1Ylp8aYXdZ2dk+g7cO+C+Z8T46dQrAsk9kUcJILO9tU8wv6WYgp/6TEpTq/ACFhyxCvcg3/ ShIIKop9Y8eRc4GiLLp5wvZU568AzWMgi/0xf9l9/UaUq7CKYV4aLyQTSglDUxLK2MmS8wPlntqp 78XOFvCX2o7EFtDJopeCaSsM9KeqU+ZIXT5ABvSQLQA8QcApacYGV2VPJuY//S2rFfRAG6vnaQO/ bZ6BtnlaDD+BPBoP8itt7ivYqzo5dR1zFbeo2lPjSfZVGTqXPbVyW8CuShKU8QW+E0Enb4GCILOO IUlOKbAMomiq3eMLCNKkl91B2kQaDLbMGAGX7IqolVMS2RAyg1o1FEgop4lEVI8jfkguA1kgQ2DS qbsU8VQnKYiaTWSDZtCbFIwCI0euoa/IG4fvGCdDwfzWxDApC4kySZQdWCpwD4aEce9GiUcEZEaQ coSBnDiQqkIX+I6B4liKc0N2ZGuqS/fIqaBhICFwYQiR477KrRU5BZEvx2tZk7FzbUSBE2kXXLWC qB1p4uAYL7IsRKPebsf1ify6RSGnHHwhIRyI9nN29Lz+6QbmmRWFah/qzgGp55CqKx8FSi1kDmVg fIewmduWUuvk1KfAd86RBa5CkIfIVB0ayEjKkFSX9GR8EKE6ydB+dsIcbpJTX/UMGUJO2Zcq9JV+ lcwpZymzo59IQNM49eXe5fp159aEOjkF81pJDDnJHgu+q+TUeMl8Iq1WLvRRYgGJLs4Y6RAUINy+ RyQ4cllWKPWFxqDeVx8gC/a//F7ggDyRV1+AwHi+tr7UgURUyal+yVTzIeZP/dNXHUDUEHEJljpk 58zLakavDllAcmQTfJrIqQypa1Uho2clrtg37TY+VgCMGXnyW1VbUyenZf7SyzrhlEjh0xAjvgsK OW1KFtAZ5QFVWYO+C2CrckWc2VyJgipkUvlsumiVhF50Sk5dr2Rii/3ne6vlgAX0Xra0JGMEYFX9 B1zCmLIVBdprRUGCoegsXVKeRHf6AiRR8F4dV4EOGRsfiYACbZAQqvIbMD5VcmoM6AB9KcBRJM7o hIDMinUdQ5KcyhxSAM65LPk0wcAhpQyZ5Q+gUAZWppSSUF71YZbcRHMIFDBkRbEJFnGtTg4Kg2yI GgtERyJmEwlpYozrMLlFUKKKkqGpTiBZVI4MES2pc0ZTmYAonbIA42EiIdocq48JjZha2jNRXJdD ql7f/6t9GyiYuKW4u1UGQt9MSASQUeKoGCiEoooSLMjOlMmHnIoyi8ECBsAYDFRfXId8Za2bJlMn kKFHTqt9Eo2qVWVU6FcZA7U7soRVA1N1ou3AITJ22kkX6JSou1y7CsaVAybDblHIafUh/AwU+XfS 3k7Ripw6XrIsnBvHLICpzzEGm6wRTQ7Gkhmy0ik5pXfV1ZFSAlR3aIgX40v2YIyRNs6qTk7NczVo iF21X91CUE2XEOEqtFutYCGnJXOqxKJkePsDgaFMvX5Wy0aaUCenAklkHqEu8kEqkagqyId+Cb7N /7IZhvyrus0h6pNMV6k7B39LXFTnVB2uY0yMrQQDX8Lxs5/1THw7FHJaJRJAl2Thq+QIOZU5lfwY CNBrY92OnCIMiGEd/IO5UwL9JvLVF3Lq4z5WEGVz1RbzX8U3N5FT89dcq5M4Phb5IdNOyCkfXlbg qkBOlYxU/YVEVSmhA+3WF3op6KGXvnOv+spTK3Lq92UJvpBTAVVJfBW4V52c8pdN5JQPKjrld3Te v5IY5pESCZlUMiTLvkD5EaJbDS4RUrbJp0pOzYcmcqrNVXJqfLWJfy6gW+y1sgp6UbWpBUOKnBog SoNYKoKWLm6XdaJUJgmjQIAMGgdE0WQdZSA4dFkWZFIW1vUNBoUzkCBbhAgSsmtIyyOlSGRZ0gfO wMR3/VY712Q3ZU1NXAaUMohmXFP/kFZk2lILOIeBEDGZhIVQm0wywgwBJ4D4UWhZV4ZcO01Gy3zV 2j9LPpSuiTj3B0oR9BuJJhPylu0gT0bcOMkaiFDJlRNQh8MxqD9ynr76jeUFk7hqRIwHp1tVcktS HBPC53r63C0QasYPyaMzdKAVyW4HfZHNrBpdjgo5YUyKvqo5dB8TugQ4ZEbX1Ku1qydyHmLPIDOI suvazRlZ+mQYyaxAX2Q2est2tYJrGQsEESkphpthJH/zkEN23L9lrvUFDLD5Q050u0p43Uc2hmy1 hY7QJX2WXXcvxywDyhRaKi1kTIYZiUTMS5tcW+2ZT5ETY4osyahVA14ERobJMh391EfEiYFm5IvD tMGBfCxXV7MuIKvH4aojF5j53nXMefO5HZFqAl3XTiSRvIvzYgNkkZDuIj8bDJFzdofzLXPMNert 7A3aLPhWI4kw+Nv1XEc7yvX0iZPmwMrSrKBNxobsSt9lqQU3rmGu+Y4dcS3HfPyNYMt6cXZ0GDEr c9M55gEi63faRyfNidI+/+o7GdFN9pGulWuwH7LwyFPVOfcG12aTLOOyS2UcJBPoEgJYkh3aL2hC ZoyTc91fu8oY9gUluPchN/Ikf/dHzOgHu+PadUjY2NWv/XRB2+iu1YEyH8jdGCp9KNBGq3HkVIJv toZOC0LKb/1faUaZg+aWTCryA/SDjTN/tbGMg+u7FtvPtpf+8GEIY9OyPj0WfLGtRYZ+w4aY30X+ YC6Yh4Vw87u4gYDJHHU/dtuKbLVmFo9AYMmEvEpwxU6QRbX+kj0yP/irIntylqkmY0vz5Tg/rD1V GEsJHN8BP00WiHGZv9opyFGa0w05LfseyInM9FVQh1e5P/hO3wRA5Rg4zr9ZNSswBvrFzvi+UwwZ csrAMByW0xhl5JRSiIANWBNEcYxfqY9iQAjcb0W8IhcTidOThaWkMlGWHGRAKCUgALKtolERAoNg 6an+6CKTB9lilKoDWgWjYMD91kRQMsBYmaAGWQpc9lN2GBgdCiwaQ1wAwUHsnMfAl2UFjlQ7RTtq kWQcONUymaDU1FQjn4GCSJVclBbIeJA/Z62PFJ/BlHkpQBz0DWE1rmSCnCPmyD1HAgyHKJ7TQY7K eDMWjBZDiKRzmN3CWAhQEH76ob0MSl+BxMnGMLIFZI6Y+K4YYuRG2xGnYiw5NYFLb8umnIhAhd4y lhyt4EkpAh0um+OA8XE+B9rXZcsCBEOGXvaV4WQwGSF9YZQYbu0W5HEk2tLXEoKSMTBfjXWJ1umA ewoEEYiSddAG85SDI19jjyjITiDpHKL20TdOwbxnP7SbwzJPfRwjI0YbqTUedKGMEyeAGAs6zT8Z a7rtt8aI/F2zrK5oQ3UpG4rTo6fsDMfAecmw03/ZkL7CXDHXkB1O0nIoEucY516csuwOeRoTjtPv ZLHIrZ4V6wTkLjPJEZEz8iLgJ3/BMLnRN4QBOZDRJF9ja/4iEWTIhrJfPuY0O4dAq2cVnLIZSJb/ m4ucM33XbnPHvdhNv6X35Msu0Bd2iK1BgBASgaCP7wRvgg19ML/NFc6Z3iLQfdlkYtwFJeYWW+t6 rkXOxlq7yq7rUiOqXYiHAJ5tdq4+9nVzi/0Q/AgbwvZJSiCKfIMADUGql1UUaJf2kjEZ0WXX4TO0 01jQe8fZEzoO/KBAQDDNvhlXfWHv2QFJED6WPktUgHPop3lpnpYA0Xyj/+aS8/la9lF5kqx7SZ7w 7wJ4dtm8qfqyIn/zW1tLXaM2mAvkYo7SSX1CqPhRhNh1BCkCJj6TrtEVYylpQBfKvYwNeZq7bJGk ljntN+YVrlAIJ/8uCHFd16OjiLJyPLpd9n/QRee5d/FzZCWoEjzQxxI40Fckusxfft78YtP68jgp YBfwE3MKsRVklMw0LmHVUt/4CkGuDC25ahvoD1tcap31xTG+k7wLZ+oEQ4acMk6cE6VH4Ex+Cs/w iqSbwKFymgVIDlJGSQxsMQiUmbMw8RgQpMkAVcGYcFDOkXUtuxWroHiMbjXarIPCMbIIjJ3NVaPE 8SLMjEtxjs5nIETiJhgwwpZdnFethXN/WSx9Y+ibDJ5oixJ1u2zdDowQRWagizx9ZHMY4CYnbHJx loy28eSsGfRq5k3GhKElGxkwgQqQESPkHpx0N06+gHF3/+rH/foK44WYMYqFRFt+Ff0WYgVqGY0V XStgpBA8DrgEIk1gVAVm1Yw4Z8JwFgJWoA30ETnoFpZmOJ8ynghHuYfrIznk7zsOE/motq0TcFbV e5CXe7gX/XF9gUuZA2De0nNGFKnk/MitZKfJwrwp1yRzTgRRKcf8nz5xtuWY3/gtOM4Qy/pwOJwR w86RlvHVJm3zW8QISamOATiX47GsyDnQL87O/bsNGtggNoDuynJZOVF/rK36WsAumPfaX3Rb1rea Ie4U5pz7Gg96yg5zvIVA6ktVvpwpvTa+Mi6cv3awzeautghOycd1EV5t5aB9JwhzDWCDkaGyJOx7 Tls2ryxRg/vpv986h20p9pMj1VZt91v34ZS1AZkotqVTkAf7xFa4F+LHTxkPcmG3CiQfBOtICR8m CPV/Pqm6/NwJ6LGki4SJ+/IniIaAHXnnJ/WrlDtU4Xu/MRZkzVYjnNpC1jKexhUxIR/XBGQWCfFb yQTElx+i0wIiH2TL74wtkCebTRf44jKWIJnDVyGMxa/rR9W30mfjZLzItEq2ESZJGm1FTumF8UCw tNGHTaGTiDX76BhyKeAmQ/eXONAGvptv97f2lFVR44YsOmZMtQnJU7ahzSUJBOw/eyswE6wKbK0G 0Qsrs8VmkLm2sFsCBMBP6Ivj/CA7wj/qI52StHE/H4TVKmiVrHcCttH9jL020RG2gE3Sb/ab/AX1 +kq2xq8QaDK0Ompugfs7V5uNU73UqB2G1LI+Vs4AMrYlUukLKLMsE8Xq5veBQCdAaDghS74l4uwE CA1jz/B0QxyawDBz1PQ+EBhICOA5rb46yMEAJKH4E6Sur+SwP0BgBG8liBpoCNrYD5mxbsdGGyV9 kPlOwcYgw2VlpRMIKmT3jQOZVINPkKSgY63sqO+qQX9f4frIGE5QAhN90J5CyIA8HHOu37ingIuN b5KxjK+sp0SUjHZ/2liAJGtnt/ynCrqnP8ZXv5FgbS6gO/paH4+BxJDcEBUIDHYghCLoqoHrDYye ZUqZOsawv2DQZZUshwUCgUAgMFgQ5DQQ+AQgYynz0JcIV52y5bDqUn9/UMhptUQiEAgEAoFPGkFO A4FRBJZtBuKRP4FAIBAIDGYEOQ0EAoFAIBAIDBoEOQ0EAoFAIBAIDBoEOQ0EAoFAIBAIDBoEOQ0E AoFAIBAIDBoEOQ0EAoFAIBAIDBoEOQ0EAoFAIBAIDBoEOQ0EAoFAIBAIDBoEOR0AeLXXQL2CrC/w Orjvfve7+V3t3lnrHfTe/9ztu7hHV3h+qPcae6ey91iT55577pnfAe5B+X15xejIgjdL3X333enQ Qw/N7zPWbv/3WlTvpC7vaB6K+M1vfpPf513eVx0IBAKBoYUgp/0EYrrLLruk+eefP/3yl78caUQG Mf3KV76STj755HTXXXeln/zkJ+m6665LRx99dNp8883Tqaeemt99G+gdHmz/9a9/Pb9S9L777svy vOyyy9L222+f1lxzzbTpppvm90EPBpL6n//8J79jGhHdbrvt0oUXXphJmnZr82abbZa+/OUvp5tu umnIvvnpzDPPTIssskhaf/31e44EAoFAYCghyGk/IYOFCMwwwwzp+uuvT//85z97vhmxQJxkTX/7 29/mv//v//4vv2/95ZdfTuedd14mKZx4oD1+9atf5QzpjTfemP7yl7/0HE1ZljKQu+++e5psssny O+3/8Y9/9Hz7yeGNN97IWd011lgj3XHHHcO9m//9999PjzzySNp6663TUkstlW644YY+vR51VMGL L76YFl544bTCCiv0HAkEAoHAUEKQ0wEAAiBzevnll480AjPxxBPn5eg6kFSE5YknnkhPP/10z9FA K9x22205843UNeHNN9/M4/rss89+4kvlxltGfM4550zHH398o67J7v7sZz9LyyyzTP48+eSTPd8M Ley///5p5ZVX7vkrEAgEAkMJQU4HCAsuuOBII6ePPfZY+sxnPpOJVSsgKUO57nCgcNFFF+Ws92mn ndYy6y34+Ne//tXz1yeHF154Ic0zzzx5Sfupp57qOfpx0MFtttkmjTvuuOmSSy4ZktnTI488Mpe1 BAKBQGDoYUDIqTq41157LT344IP5oz6vFSydyug5T1YKgfrDH/4wnPOX+XvooYeGW7JEHPxOBqsO S9uW1k8//fR0yy235HrMKix3XnHFFfn722+/fUBIm40ypb/aKUt1zz33fOza+qUW9Jxzzkm/+MUv eo72D/o31lhjpTnmmCNvgClL+6MaEOhrrrkmbbXVVrl+koyMVcG7776b5at21vK7ukrjqHzilVde GZBx/N73vpdmmmmmNO2006Yddtgh1+5W2zBYQFYPPPBADkpWWmmlXsmyDVKTTjpp2muvvbJ+0Bmb 9tTVkit5mg9KQwQ7/YG664svvjhfz0c7ZfC7xZ/+9Kd0880352tdddVVub11IKdqa6tgh+jFBRdc kH9r3r399ts9334EmwX1V0bZvGWrStvZI+1W04vUn3HGGbkdaslH9mbHQCAQGJ3RSE6POeaYtOSS S+bNID//+c+z0QcE4vOf/3z+vmwOkaWxU3y66abLdW4bb7xx+tKXvpQOO+yw4TI2zkPe9ttvv7w0 qYZvjz32SHPPPXdenuNU4K233kqzzz57mnzyybOTA/V/nMWUU06Za+2qQPjWXXfd7KjUB37xi19M G2ywQXr00Ufz90iz72ecccY0/fTT5/pBzp2j7gZlA5Q+HnDAAWnffffN1xt//PFzn6rZN8urCy20 UN6owsntuuuueROHNvUHZE+Gn/70p9OEE06YZp555jwmRV6jCvbee+8sOxlgQYNd8nSsbOQRaMhq GncfsqRjxnHZZZfNAUx/gbwgclNNNVUae+yxs36ss846eVPUYMo4agsSNcYYY6RVVlml52hreGqD ebTRRhtlnSVff0800UT5XzWbq666apprrrkyOZdB7gbIPFux+uqr501aW2yxRZp66qnzbvpugEir pzaf1Ux/7Wtfy3MemSw2B5DT6rK+eaePSyyxRO6zoE2wsfTSS+e5V2Dz22qrrZammGKKbN+WX375 rFsTTDBBJrOuw4bQRe1gN8wvQVQgEAgERg4ayekf//jHtNNOO2XjXa1b5DgOPPDAnNkAWQZOEJFU AycTIeuE0HIuSGuBzRseefOjH/0oE1VOAAmx25xjs8kBOKCTTjopjTnmmNnxgfvI/Pi9DGWBZU5L e3any2Ry4LIeCKBNIzaPyLzoi+ybrK1NIog0x9xXIJWyfMiLjJ77+Tz++ONpttlm+9iyviVYMtBX mS5ttNwqm9VfuCb56MenPvWpTKwQLGR5RGf+/vznP2fy35TR6hSCA8vOMngyoD6yWHbGy3wBUrXj jjtm8iSLJcNODxDzWWaZJZPX/oJuGTPZMRuJkBTZyfHGGy8HT3RoMICenX/++R2TUxu81KYi9HSf /iFsghlk3BjKBlqJQMgFdN1AJhvBFXjSOx96jzx2A/ZE8CewMy76bc4jz/5f4PqlzWwG8vqFL3wh bwSkI+YH/RFAIqtqsIGeyR6brwLMhx9+OG98u/POO3Pm1GOq2An3Yp9ci8075JBD8u8DgUAgMOLR clkfQWTAv//97w+3fFqyqOD/iOCGG244XFbDxg2/l4HgFBAQDsImhuqOaJBVlNks5BRcy7J1IafA WdiFXiWnlneRCA6Y8+CwkD9LtMixujzX5+w4aNdFRuxoL5nVvuCss87KmWNLoZxfgWvWa05vvfXW nNnUb+3ykTWWtZL94zj7C/dFOpBjJB1xQbwtj48o0AVL4fqBmHSLQqoXXXTRnAHzkfUisxI46N+5 556bgw8Z9QIkVsa1mhHrL9yLPlvyPfzwwzMh1hZ63LTxbGSjW3Iqc1jKbKwyyAKW4BIQsE022STX sXYDmWf6V7LdZDXffPOlI444Iv/dV5ijSHOZR+aqLHkTOZXdBCsriPess876sXltNYF9MncLzM21 1lorPyfWuEP5V2B98MEH5/sW0Iuq3QsEAoHAiEVLcsqhLbfccnkpukoMqkCMZOw48DpkPmTBOAIk k5P0DM46msgpNJFTzrmQU/dGXGRtlRIUAlg+ygA4Ts5GJgcRWnzxxdO3v/3tYdm6vkKpAgeIsNeB nCJrxalaEtS20n8fMuE8ZekGOrvJqbu2OtQ6eeF4y6cQ9Hbo7Xv9WHvttfP9XK+Ta9aBjJKlZdZ2 EJBY/q9CpsvvyZsejAhYlkbYZFNl06DIEAph6Wu/uwUZkzs99gil3mogrUhMM800udSl1F3K9hu3 6m/939wUiHYLcrAiYmVD2YA2dktOgUwFb7KZ5rZstmx6nZyWZX0rNu6NFFfr1MFcE6iauwXmJNtE nnXIlJvLVm4EJ+YSPasS+kAgEAiMWLTdECXTx3HJjFjqtxTISRYgBuOMM05+TmQdnLuMjHpCWRwO 1XJaHcjpiiuumAlHFXVyyolyuIWcvvPOO/nB6Wrn1Jq1g81SluLVlsm0cjyW//pKLNxvscUWSz/+ 8Y97jvwPHJr2lgwLhziQz2FEemVr27VZVlrtabVkQVZJaYYsMnJy4oknZnm1IzeyRu3uox5TQIG0 lc1e1UxTJ9BGy6rt7uM7AUgrcnrUUUf1mTTQX3KiP73dW70j0lOW9i0dK0dAnMwNxK8pA16I60BD WYl+I2HtajoFXkoSLOErfShtkTm1mlElcPRDX7olp9qkTlggqwbYvdRxdkNOyVwgzGYYd0vu2idA kK0vgR8I/sqyvv4YK6Ue9cxpX8kpyP6qn1XWhGwjx0qP6qs+gUAgEBgxaEtOEUd1XDKeMpH15U1O 0Pe77bbbcJlITkStJ6eAsHFanKpat3rG0j04zLL0WICcIkEFHBDihSwjGP4+4YQT8vKyjSKtyIDz tKcQEcSS05Hd6SuxUesoC2tzRJWkA3KK/JXjCPtnP/vZ7FwHAscee2xeulR32YpUyZCpZ1VjW/D6 66/nvy3xuoYaTtljtXTgWkgvGfnI6Cpb4IjJzt/V7KTlW5njU045JfdXOYHl1XaPNmoC8qTWsf6k AfIr/RMQCQgQxKreKNEQ0Hzzm9/sc92rDL1SC+TGvevjCO7vO/prFzc5gHng+bIyqo7TUZn5KpB+ pMdnoLO6dEkwYJPOtttu26hb5KTcQamLAEydcwFiLbgr/QFjbl52S07pk3shgWRJl2w4Qu76CrqG ZCKjJVglQ7bDqkkpHQDEtGRO/U6gYvMc+RT98S9CLlvs1bQFCLvAuYmckk31PvojoEN8Wz0LNxAI BAIDi7bk1OYiWRCZAyShnjngjBh9hlv9FsPuHGQUabFbFgFECPyNFHIWhWhwAja6qBGVna3ic5/7 XN7cgxAjIDIidgUvsMACuV3gfeiIAkfDOZZNHrJi2oGwqh+7/PLL82YHjhhkwmx6cawvUL+m1hEB 1Cf94Dzdd955580ZxEIYXJvD51S1x5KktnmUTdX5dQoBgF3QslyylORSiBUnjMjJCCH6Np8VuJ+s EeetbYi8TWGlDdokQ4W0+yBdxsOyaSHEyiAKkB3ESDbT77rdMERf7Ji2YYyskEFZSNlJbQZZuZ13 3jnrjdrlEoAIDpBtJLNeDtIb3AtZR4yVrNA7RJ0cjBG5kq86ZbpPrwoEJwiRIMAytvreesmLmlXk Uf3siCAz5gKSrG6ZXpOVNhtPOuBxW8ihDL/5UeaasT/ooIPyXC1lCqDviLpa1G4ygwi8chkk3fhZ pbAxzzwp5QSdgi7Z7W/TIRtirASoSlXUq5tnYB7L1ApUtZn+C1jMN8vw7INzjY2NmrL0ZFF+q1RE u23iqgcn5oogWNvJ1fVtGlP3XLdRgUAgEBgxaEtOwcPJPe7JLtqmTA1SwRHZ2MJ5I6uyWrI21aVe S/ucCULAgdppj2Qgl4hi3fAjomoSZSARIQ4GofAYIYSGU0EmZHQ5JWTAUqLlQOTRBgrEGLmRUUFI LGfLyHA+nHRfwbEhmzZoeBqAeknZFzW3nDuSXM3kKWOQ2UWyPWZK22QBe6uzbIJ+cqg+SJnMJbJM bjKYyCTHjIxXya/v7DZWvyfrivwhywXO5dgRKR/vajcmSAaHLvNdyCIS4H7G0RiTc1+X86uQobXT 26Y6BAnxQ65LTa/xQkKdg1wXslNqfzupWa0DCb3yyivzPemE0gLEH2ExRrLxxhH58Xe1NtjOb483 kk1D4pU21EGGdLQ8/mhEAAmlSzKCO+64Y24zXbORi/xkFcmlmm1G9mRN1aGao+aPj+sIehDAbjbS 0S2/ZQPIjH7SeYGHzYl9hWCoPF6uPIlDGQMybhUABEX0QhBFh4AtsAojSLQEL6uu7MIYOV4CUxl+ 84dO6W+dkJOhTLDMPtmwP+utt16WtfkTCAQCgRGPXsmp7IVd8RxiExAWRpuTQNh8kL86aeHQER0Z Kc4fSZUNQXRsqqqTUxkxBMz1kDuEghP2f86mEGXkColB+mT0XB95kWnlnDkjJQaWLi0ZljZW61n7 CtdU/4o0I8ScHOJi+Q+RIxPwL4KHOLqncywpcqT9AVJq2VSGDOFQ2+raMqb1a7sf2SibsNyrzbJc rcogyNM5Td8bQ0EG4oWEISbk6hm1TYFLbyAf7RKkIMXGqWTFQZbWcR9L0qUEAPGS9ZKlrC5R9xX0 A4FE1ope+AjIBDFVckeuXlHr3kid3d70tw4BETkj2CXTNyKgbYIKc6K021io12wqdZABNm/IspSl kL9seZGxus6+gl0wl1xbNpyOkCkZWmLvK5BIbTLf1Ur7W9bcpiTBiTbLpgo+tVkQVWAVw7iZj+Rh 3tWz13TKykH5bTVQA8GIAIZNcY6ngJjrTbXFgUAgEBgx6JWcjmggBrIssWQ2YoAokTHSIPstQ4mE VDOCVSA8lo2RlzoQEfWqpVzDsr+MsWBAEDOUgfTI5heCLOMqSxgIBAKBQGBg8YmTU7Wsk0wySZDT EQSkSp0vyGbLpJJ1q0ynLJVMURM5LRklGVoZLTvGkVVZTOR3KAP5ltktJROW99UzBgKBQCAQGFh8 YuTUsqSNGTY/eLyTmjlLtGVJPPDJQC0w0hnjEAgEAoFA4JPAJ0ZOZdpsQrFUatezJVI1hK1qIQOB QCAQCAQCQx+f6LK+TS6WR8vHEnSQ00AgEAgEAoHRF594zWkgEAgEAoFAIFAQ5DQQCAQCgUAgMGgQ 5DQQCAQCgUAgMGgQ5DQQCAQCgUAgMGgQ5DQQCAQCgUAgMGgQ5DQQCAQCgUAgMGgQ5DQQCAQCgUAg MGgQ5DQQCAQCgUAgMGgQ5DQQCAQCgUAgMGgQ5DQQCAQCgUAgMGgQ5DQQCAQCgUAgMGgQ5DQQCAQC gUAgMGgQ5DQQCAQCgUAgMGgQ5DQQCIw2eP/999PZZ5+dvvnNb6aXX36552ggEAgEBhOCnAYCgdEC //jHP9JZZ52Vtt566/Twww/3HA0EAoHAYEOQ00AgMOTxr3/9K33nO99JM800U7ryyit7jnaO//u/ /0v//Oc/87+BwY1///vf6b///W/PX4FAYFREkNNAIDDk8eCDD6aVV145rbDCCukXv/hFz9HOgNi+ 9NJL6Xvf+1764x//2HM0MNiAlL7zzjvpvvvuS7/5zW96jgYCgVERQU4DgcCQx2mnnZbGH3/89OUv fzn98pe/7DnaO2TgnnrqqbTkkkum2WabLf8/MDjxwgsvpJ133jktvvji6Uc/+lHP0UAgMCoiyGkg EBjy+Pa3v53GGGOMPpNT2bibb745TTbZZGnOOedMr7/+es83gcGGO+64Iy2yyCJpjjnmCHIaCIzi CHIaCASGPLolp/CXv/wl7bjjjjlz+swzz/Qc7T/++te/pieeeCL96le/Sr/73e9y5k/b/Ku+tRX+ 8Ic/5CcNvPHGG+nvf//7cHWwyPSf//znXIoAvtN+57/99tv5GPjePV3D95bBH3vssfT000/nv/sK 933rrbfysnqBPrz77rvpb3/7W8+REQv3O+igg9ICCywQ5DQQGMUR5DQQCAx59Iecfvjhh+m73/1u mnfeedOf/vSnnqP9x5NPPplWXXXVtP7666drr702nX/++enAAw9M++23X7r11lszeawCKX300UfT hRdemI444oh0wAEH5M1dyGgBsnn88cenX//61/lvpFFG0XK3x2cVOO+EE05Ie+yxRzrllFPyPZdZ Zpm0xhpr5JrNvgDR/fGPf5z22muv/JiugmeffTYdeeSROfNcyHIBMqxEAjHXFsT5lVdeSc8//3yu 7/V57rnnhn2Mmevcc889bcnzxRdfnMc4yGkgMGojyGkgEBjyOPbYY9OYY47ZNTlFHOeff/70wQcf 9BztP377299mMrjwwgunhx56KN8H+fW4q5VWWimdfvrp+fFX8Oabb6Yzzjgjk8hLLrkkXXfddWn/ /ffPm7xuu+22YefJuk4wwQTphhtuyH8XcrrxxhunBRdcMB8D5HC33XZL4403Xlp++eUzKfb3Djvs kDePdQo1uQjlPvvsk6accsq01VZb9XyT0u23355mnHHGtM022wyXUYX7778/XXbZZbkf/v/II4+k u+66K9100025vT433nhj/ujLOeeck7bccsucGW1XWuFcZD/IaSAwaiPIaSAQGPKQTRxrrLEymevr M04Rv8svvzzNM888HyNZ/QFi9/Wvfz1ttNFGPUc+AtK677775rbKgCKtMpJrrbVWzqginKBdJ598 ciZtspTl8UkTTzxx+uEPf5j/D6X9VXIKsrXqMxE/mU0lAjKYXlTQKbQFuXQ/Nbnf+MY3er5J6Wc/ +1ladtll01e/+tWuSgW6gXZsvvnmQU4DgVEcQU4DgcCQR1nWt2Hm3nvv7TnaGQq5m2uuufIS9ECh FTlFFAuZlEFEVnfddde0xRZbpBdffLHnrI/w2muvpYUWWihnIEv2VAYTYSxoRU4RXZnbKpHtK9S0 /v73v89Ed/LJJ8+lAkgu0qrkYNFFF80Z0jr0US1qIdrt8J///CfLvSz/u34rBDkNBIYGgpwGAoEh j1NPPTUvYc8333x5+bgvKDWnc889d970M1BoRU5BfaW2IpBImeV2nzo5tgloqaWWymUHpeRg6qmn Ho6ctSKnP/jBD9J6663XL3IKShE23HDDNNFEE+U6WKTTBqztttsubbDBBrmWtA6ZVDWnyhB8Xn31 1Uy06x8bxgQTl156af5YtleP2grkpi1BTgOBURtBTgOBwJCHpWuPg1p66aXzcnNfgGwdeuiheVnf 7vOBAnJ61FFHfYycIpMXXXRRzvLefffdwzKniJ7l+yp85zzZSSQaLOtXyRnSqo4V2X3vvfd6jqZc z7naaqv1eQNUFTKnak6nmmqqnCVFJGVDXVuN7nHHHZdfXFDPkMp+Ip+Ia2/k9Kc//emwj9pcmdpW uOCCC/ImsyCngcCojSCngUBgyKNkTrupOfXIp5122inNMsssebf8QAE5tZu9Tk5lBi3hr7POOpmg IZcnnnhirt+UGSxET9bUJil1owim5W9ATm0AA+QRAZRNrL5EwLl2tiOUfc0kV2F5vhB//4LsLjIt 02wHv6cLVEnxiITyDfeVFQ4EAqMugpwGAoEhDxm8bnbrI3cIImI36aSTpmOOOabnm/4DOZWRRaZk +jwmyRK7zVDaKftYiKhHLnnsk133V1xxRV7uVxLgzVV28Fezieuuu26affbZM6HVb7vXEVa7+O3I 90gq5QmI4ySTTJIOO+ywrjcsIZ1qXldcccV8XXj88cfTYostlmtfkezvf//7w+phRySM6+qrr57G HXfcLKt4YUIgMOoiyGkgEBjykGFUE9kNOZUJROA8W/Tqq6/u+ab/QE5d12OjZC8RSY+P8lF6UN01 L9OJoFqeP/roo/MzSxFN/VLfWbKm8MADD+TMpe933333fA+1oDK0/u+JA+pE1W/6G9nt9ikEsrqu bUNWgSV6j3zae++981J8uw1MAwmbxxB79/YZyBcmBAKBkYsgp4FAYMjDZprpp5++q+ecyvohbz4D +UiksiFqs802y6UDajctwavRbAXnIaMeTG/nvswlAl2FpXZZQ+d4FJV2e6C/6yPasrHujTT6rvpG qb7CddS9Vpftycv9PZu1SppHNGRuZbllkclxZL2ZKhAIDDyCnAYCgSEPG4ymmWaarsjpiEIhp027 9QOBQGB0RpDTQCAw5CFzOsMMMwwqciqr6J396iQDgUAg8D8EOQ0EAkMenvP5+c9/Pr8qtK8P4R9R UGNqQ5LNSttuu+2wDUWBQCAwuiPIaSAQGPIo5NSu+8HymCFk1DM+1Y6WWtBAIBAIBDkNBAKjAQo5 9azQ6qs9A4FAIDD4EOQ0EAgMeRRy6o1IA/kg/UAgEAgMPIKcBgKBIY9CTgfThqhAIBAINCPIaSAQ GPIIchoIBAKjDoKcBgKBIY8gp4FAIDDqIMhpIBAY8ghyGggEAqMOgpwGAoMUHtLuHegeN/TSSy/l V1B637rXMnrFpddOelXkYIK3HjXBKza9IrPb12T2F0FORw/QMzpYf6VrIBAYtRDkNBAYpPAe93PO OSd9+tOfzm83+sY3vpHuu+++dM899+TjPt/73vfyu83r+Oc//zlS32sO2vuLX/yi8XmdjnnP+89+ 9rOeIyMXQU6HNuiX4M3Y/vSnP02PPPJIeu6553IA1ypgCgQCgxdBTgOBQQrZn1/96ldpvPHGy+9g r+MnP/lJWnLJJdMhhxySyWgVTzzxRHbWIwtvvvlmOv7449MEE0yQCUEdCII2eV3ne++913N05CHI 6dCFbLwx3X333dOss86app566jxnZplllvSd73wnvfvuuz1nBgKBUQVBTgOBQQqE7uqrr07TTDNN I6HyViEOefPNN8/ksAA5POGEE3L2aGThrLPOSpNOOmn6zGc+00hOQXv33XffdPPNN/ccGXkIcjp0 8fTTT6ftttsuLb300mmfffZJp512Wv57iimmSDPPPHPOpI7sVYRAINA/BDkNBAYpPvzww7Trrrum FVZYoefI8OCU11133bTRRhulV155pedoSj/+8Y/T1ltvPVKX0B966KG02GKLpWmnnTb99a9/7Tk6 PJQffPWrX0077bRTz5GRh27JqRrfd955J3/U+RqTKgQQaoDLOR988EHPN4GRheuuuy5tu+226YEH Hug58tGrYTfccMM01lhjpbPPPjuPYyAQGHUQ5DQQGKRA+Kaffvp05pln9hz5CAjR73//+3Tsscem ySabLO2yyy7ZGRdceumlae211/4YObX8qSb0lltuyUQLkKmHH3443X333f0uA/jWt76VFl988ZbL 9sjb/vvvn774xS8Ol139+9//nl5++eX01FNPdfRRS1j+/8wzz+Ra195w/vnnp6mmmqpP5FTmWUb4 9NNPT6eeemouW5DJLrLWB3L77ne/m8/xvTpgQUO9zKIJv/nNb9KPfvSjdO+99+byjccffzwHFl6v +vbbb3+sdlf277XXXsu/ueaaa9INN9yQ+1IlxGRJbxDmAr976623hjvPUrfa5R/+8Id5/N1T3+hG NQvfCeijwEOGUt+BrumfUg66OiKhva+++mrPXx+B7KwqTDTRROmmm27qaDwCgcDgQZDTQGCQwtLk +OOPn37+859nsuKDnKg1/eY3v5mWWmqptOaaa6Yf/OAHPb/4CAceeGBaZpllMhGtAgHabLPNMkkr S/6vv/56JrcLLLBAv5fbEbQ55pijZeYUYTrjjDPSwgsvnIlYgeV+hFqflCOccsop6dvf/nb+HHnk kfl49ePYfvvtl9stE/vYY4/1XKk1EEdZtA022CAT2t6AzKjzRXBOPPHE/HtLxu6JHOojYnrEEUfk UgXnOF+JhX89XaE3eI3qVlttlRZaaKF08sknZ8LpXwT+0EMPzYSxQHsEG3vttVdaf/310zrrrJNJ vsz5jTfeOCwziLivtNJKw8lXW22mkz0GZBIhXWONNdJMM82UCft6662X9UKdJoLaKVzrySefTIcf fngOTOieYwijoEpGEzmsgs4h1uedd166+OKLs959//vf7+hD5vSlHRBTRHmRRRbJ2fxnn32255tA IDCqIMhpIDAIgVCo4eRg77jjjpzl4uQvueSSdNxxx6U99tgjb/ZAMuqPZ7Js7h3yMotVIBGIz+ST T553zoNsKTI45ZRTfoxE9BXIqWu3qjkt5HTuuedOd911V8/RjzKQ+iGLh4jLBsom6rPzHK9+kJkr r7wykx+ZynrWrA6ZQ1ld9bAHHHDAcFnmVpBl9GSE6jK+x3bJDBoP90f2BAtV+SNeF1544cdk3wQk DkGT/XYv10dC9R3B3HLLLfP1wPU23njjtNZaa+VlbITr9ttvz2O94oorZvnpJ1lMOOGEOWNZQL5b bLFFWmKJJfLf7iuriUiOPfbYmZwaF4HBUUcdlfWkU5APMr7nnnvmsomvfe1ruc3aa3z0o575Fxgh 9MpRttlmm3zPww47LB188MHDPjvssEP6yle+kv8vACjHrRa0y3xrD71ZffXV82bBq666argsciAQ GDUQ5DQQGIS44oor0phjjpkziupJX3zxxUxAZM+ef/75tkvwCIusWlNGkXNfdNFFMwl0DWQIMZlv vvn6vJxbB3KqDKHVMnshp3ZUy/aNLHhOrIzxvPPOmx+91Z/NMYjdgw8+mGuBW204k+HupNTA0xhu u+22XKdbfV6tLCjSLcN87bXX5mOW3BE9ZKvafnohO2gTUMmeTjzxxMNlhx0/+uij07LLLttz5CO4 pky3gKdb0B8ZXwEDHVL+IKCgs7Kjq6666rA+FCg9oGvO8S+9QJb9XT7qR5F0/1eSUI47rxXZVDZi 3siOy2Br0yfxZIhAINB/BDkNBAYZZH/sPLbbuNUSeTsgp3PNNdfHak4RFtkkS/iFnHLoSIvl8v6i ZE5bETMvFHCfeeaZJ2e3CtQkKk244IILcvbWd7feemvOkvq/DKXvmj6IVbuaRllDmTsZR4RPfzsB IoQc1YHoWdaXOZV9LpnNAllUcu6kfreQU48+qmdz1Z4q20D2gAxkEqtL/YAcIt6yrEUOyOn111+f /w8ImpIE5LYK5FQ2lZz7AzpK5zxVQv2trC7SjMArQaiXOJARHW8VJPjOuBkDciQnhLQdOTWu9I8s jjnmmDwG9RWFQCAw6iDIaSAwyIA4ek6jOsBuULJkdXJq+d5zSC3jyl7JAl500UVp9tln/xjJ6gbI QavnnAICZtlXRrCa1ZUZkxGU1bWzWqYNGbvsssvyErYMHLJ10kkn5XOqH8faZXwRJfWQNkQhx53C NS07u/6dd96Zx0S2V70rQmwDkMyc5WwyVAtpuV8GU7mFbG1vKOQUqasTLmPnKQ1qWYE81KfWxxQ8 mWHllVfOcgTkVIa6ADlVzmH3ehVkutxyy/WLnOqDTP6MM86YXxQhqKBbMtQy9GRR39gls6q8Qr2w JX0yE0D4qCXebbfd0vbbb5/lj5ALaJzrbzW/SiCqIDsZU/XB+lQfZ1lpuh4IBEYdBDkNBAYZdt55 5/xWKBtAugGitMkmm+SNUwUIo9pE5BGBQCpkriyBIj2yVQV28ssOlp3XnUJ2bpxxxmlJTmXBkAub tapvtZL9s3u8bPpCYv3tfP8v5EZmsJxTPq7j963ge6QcObMBqU6U2gEpRpYQI/+W3fg2lrmO7Jxj iBQZqpNEpGRcO1lOLuR0uumm6znyEYyLsZfVVL8KiLE6ympGFMhn+eWXz6S5ZNmRU6SvwHFBwY47 7thz5CPoHwLcH3KK+LnXuOOOm+Vg3BB7NdGurX/VEgNQ04psq7dVEkAfy4Yn/XW8fAQVAhcBgb/9 v0786bsx8vuqHmubAEI2vpsViEAg8MkhyGkgMIhgJ7IslM0lpYawr5At9Cip6i5+JMFubCSrECeb VmTtkAibYwrUVNqIxeEjgJ3AeTJlSDUChXjVgSjKbtmc0xeS2B/ImMnUqX1EnupEqR30wfK0rKnl dP+vkk7XRsbUniLzMno2SHXat0JOLeuXrCeQk8ziKqusMqy9NjhZIrc7HxmjG3TFErZSDY+PKtlB Naw2EYFjstTzzz9/HudC3gQQMuyOI6ndwlK7Hf+uUzYq+Zcu2PiGpCKfIwqW8w866KB8f1ns8pSH vffeO+uZOmPlH93OpUAg8MkgyGkgMEighpFD9cgjz2esbyTpFJY51SAiiaWuT+ZJNlXWqRBHhMoO do8UkskqQMYQZEvFlmw7gd/IAMqg2YzVRGrtJNcGTxsYmVADa3e4px+ce+65I40Y94ZCTu2YJxf1 msZJoGAXu+9KVthSuWBj0003zSUbxkwm3FK9ca6SLzvflUOo9VT6ILOJQAp4SpYUYUVWPapMENJJ jWwd2o8oezqAJfkiVxv3kEV1z8a60wCnG8juK38pc0bNsw89FCh94QtfyI9Ui2X9QGDUQpDTQGCQ AIlSO6fOUa2eur1uUZZLy3ImgoCYVomZ5XvkgoOvkhuElMO3uaQ8rL83OE/m0JK2ukhkqgok2bMn ZQM7qcccaMimjTHGGDlz3OmmqBGNQk6RKjWiNij520512e/qEjV4vJWxsVlKNthHRrX6cH2QeVV3 aex971qILfJbSjVkTt3HNSyz16/RKchSe6p64r4IoQx8N6S3L3AvRLvIo/7RjqYNVIFAYHAjyGkg MIiA1CGpPv2pk/NbBKWbLKGaSsuxsqkDlXHSFhk8NZqtdmmPSCBmMqcyjx5UPxhQyKnSijLmiNSI kI+d60oS2tXnBgKBwGBBkNNAIDAMCJKNJ+r32j2iqa9AimRMO83EDjSQ4lLC0PT8108ChZyqOR1I WQcCgcCojiCngUBgGJBTtag2tSBPA4lPsu6vLOv35d36Ixrk4c1Vdtd3W18cCAQCQxFBTgOBwDAg TLKcn8TS+4jEYCSnHn3k0V427nhTkxrQQCAQCAQ5DQQCowEKOfV2LJnhwQB1oDYm+agRHixPEQgE AoFPGkFOA4HAkEchp97rL2MZCAQCgcGLIKeBQGDIo5DTxRdffLg3ZwUCgUBg8CHIaSAQGPIo5NQL Ajz7MhAIBAKDF0FOA4HAkMdg3BAVCAQCgWYEOQ0EAkMeQU4DgUBg1EGQ00AgMOQR5HRwwZMJvA1t qD2yLBAIDAyCnAYCgSGP/pBTLyPwWtER+XrR0Q0vvfRSuuKKK9L999+f3xo20C9o+Mc//pEfzxXj FQiMmghyGggEhjy6JadIzs9//vP8bv7vfOc76cwzz8zPSf3tb3/bc0agG3hiwlprrZWWWWaZPDYP PfRQzqT2F54d++qrr6brr78+nXLKKXm8br/99vTKK6/Ec2QDgVEIQU4DgcCQRzfk1Juybrjhhkyg llhiibTYYoulySabLE0zzTSZqPo+0B2Qfk9NOPTQQ9Pyyy+fVlpppXT++eenhx9+OH344Yc9Z/UN yC3Su+eee+ZrLr300mnmmWdOE044Ydpyyy3T66+/PuCv5A0EAiMGQU4DgcCQRzfkFFFad91105FH Hpl/8+CDD6b9998/TT311GnllVdOzz//fM+Zgf7g8ccfT/vuu29abbXV0oYbbphJ6pNPPpnef//9 njM6g+zrTjvtlHbdddd06623pqeffjpdeumlaf75509jjjlmzqZGQBEIjBoIchoIBIY8uiGnlu/v uOOOnr8+giXjTTbZJM0zzzzptttu6znaP8gU/v73v8//l9lDyn73u9/lesl2+NOf/pT+8Ic/DPhy tdpa1x2ZRI4MHn300XTaaaeltddeO+28887puOOOSz/72c86Jqn33XdfuvLKK9Obb77Zc+Qj7Lff fjl7etRRR/WZ8AYCgU8GQU4DgcCQR7c1p3VYGt5qq63SIosskolTf2GzjuscfvjhuTbymmuuSRdc cEGulVQ6cPfdd3+MpCKOXsF69NFHpxNOOCFdcsklmUh/8MEHPWekvBno1FNPzRuOwIaj1157LZ11 1lnpqquuSu+++24+jqzde++9uaYW2XZ/S+377LNPeuaZZ/I5nQLBtFRvo9Ovf/3rfMz1H3jggXT2 2WfnzGYnQFK1c6ONNkobb7xxJpV33nlnJuztoP/1kgA1qHvttVeaYIIJ0kUXXZTLCQKBwOBHkNNA IDDkMRDkFOGT2ZtjjjnSV7/61fTnP/+555vugZzK+MnGrrDCCrmEADmVAdxhhx3SKquskm688cZh 2dG33norHX/88WnTTTfNJBLp0zfZxmuvvXYY+dK2SSaZJF8DkFOEcfvtt89vybLkDc47+OCD0/jj j5/bgAhuscUWuS19Id/ui+Qik5bRkVwE+LrrrsvXU6ernX2BHf3nnntu2m233dLmm2+eSeYtt9wy LMvcGxBTpHbeeefN/bEpKmpOA4FRA0FOA4HAkEd/yCli95vf/CYde+yxOWOK8D3xxBM93/Yfsn0X XnhhmnXWWdNjjz2Wj7mnzKUs7XrrrZf/j6AiowsvvHA66aST8rI+eBSTOsullloqvfjii8MI2EIL LTSMnILj6mgR20JOkeMTTzwx31um9Z133skkTrazZFc7gbYgzQcddFBadNFFMzmVqZXVlRUmt76S U9BmZFS9KDK+995753v84Ac/6DmjGUi3Nhjv9ddfP2eWI2saCIw6CHIaCASGPLolp0jic889l3bZ ZZecATz55JPTr371q55vBwZI0+WXX55mm2229Oyzz/Yc/ejeSOsCCyyQrr766kzSvvKVr6QVV1wx PfLIIz1nfQTL/7KT55xzTs4Ywpe+9KX0rW99K/+/ACl1DcvvBTYgeazTT3/6054jfYcldYRWlne+ +ebLxNDueUvx2i4DrI/dAklFnE8//fQ055xzpt13373nm48DuZaBlgk+4ogjMiEPYhoIjFoIchoI BIY8uiGnCNELL7yQN+d8/etfzyRnIJ7FWYeMKHI511xz5QxtFTfffHPOiFrqR7rUYcp8IsxV2MTk sUl2vZe6S+faVFQFcrrjjjsO96QB5QAetdQfcgrIs8c4TTHFFOmYY47Jx7SZ/DbbbLOuSL0xQHDv uuuuvLFpm222yfWw5NUEm6GUJsgkI8oIrWsEAoFRC0FOA4HAkEc35NRGJJt71D2OyIfuy5DaBDT7 7LN/jHR6zqplcuQUSZP1tEzdtFlJ5vWwww4bliWUXZQ5rELZwHbbbTfcxiEbhTwyqz/kVHmAbCyC PMsss2TCi3SrOV188cUzSX7vvfd6zu4Mssg2hukvgovw/vCHP8y1qK2eUPDGG2/kJX9lF9VsqbID NbH1DVOBQGBwIshpIBAY8uiGnF522WV5WbyQKiRSHSaSgzT1tXa1FQo5rdacgrpJ7fZAefe0XG/z kmV9b62qwk545NTzPQtxU6OpFKEAMbPRysPpn3rqqZ6jKS+V2zDUH3JqsxhZTTfddJlEIoOywHvs sUd+fqknC1jed147yEx7aoEyimWXXTZneZFnz5iVBW0HMnSeJwSQKXj0lxKIQw45JH3zm99sS5CR f/IWjMhEBwKBTw5BTgOBwJBHX8kpomLX+UwzzZTrJX08eH+55ZbLzzj1RqM6QewWSOdNN92Upppq qvxIJ/WbCJasrawpQlpIFRKKcDqvECgbopBApBB5LsvYNih5YYC+y2Ba7laviUB6VBMgi0oW9NMj prqFR2zZFa921UYoUEJgM5d+kZfrt3p2qoynzVNKETxNwMYnJQ1KATrJdpLXN77xjbwJzL3KmC25 5JJpwQUXzG/26u0h/NqrJAH5L4/CCgQCnwyCnAYCgSGPQk7XWWed/Pah3mDZ3OtKkR07zWUvkVM1 jx6XJBPY20PyO0Uhp+ONN14mVJawt91227T11ltnQvnyyy/3nPnRK1WRa5uYZPhkcBFNu9E9/7Rk DEGJANLqmmo+LfGr25QltXEKkNnzzjsv15z256UC6k1d+5577slL/KBe1xu19APRRKKrkF2VTdVG dbUyrN6HL/vpkVmtlu6boO/IKWLrsVMemVX9yJoqzWhXfyrTi/jL2tYf5B8IBEYugpwGAoEhj0JO 11hjjeGWzltB9tJjmcrHxh4ZwbfffjsTl748Zqk3IEyW2dWcepUnUidz554IXZVwAtKG2CFbSJw2 Ne1GRxKRRu1HcP2/PCqqEMVyLX3qa01oFe6FIFbbgUhro/bVs59eDiCrOu200+bsMJItIJAN7mYD k37IdlvGJxP3rX70sS7HOlzDb/tKjAOBwMAjyGkgEBjy6Ouy/sgEMoYwe2RUbwRqqED2WvbZM1bL e/S7IaWBQGBoIshpIBAY8ijk1PJ29TFKgwEyjJ4LOvfcc+fs5ugAmUmE1Aao0YWQBwKBzhHkNBAI DHmcccYZacIJJ0yrr756R8v6IxN25Xt2qfap0QwEAoHRHUFOA4HAkIf319tpP9iW9S1lq/e0mcem HRnUQCAQGN0R5DQQCAx52JDjHe+rrrpqfs1mIBAIBAYvgpwGAoHRAt4a5H3rZ599drxrPRAIBAYx gpwGAoHRBl6x6fmgHq8UCAQCgcGJIKeBQGC0wo033pifJxoIBAKBwYkgp4FAIBAIBAKBQYMgp4FA IBAIBAKBQYMgp4FAIBAIBAKBQYMgp4FAIBAIBAKBQYMgp4FAIBAIBAKBQYMgp4FAIBAIBAKBQYMg p4FAIBAIBAKBQYMgp4FAIBAIBAKBQYMgp4FAIBAIBAKBQYMgp4FAIBAIBAKBQYMgp4FAIBAIBAKB QYMgp4FAIBAIBAKBQYMgp4FAIBAIBAKBQYMgp4FAIBAIBAKBQYMgp4FAIBAIBAKBQYMgp4FAYLTC hx9+mK6++ur03HPP9RwJDBbcdNNN6Z///H/tnQmUjfUfh6VQKEuUyjmWFloUCqEFiSRMtqLFSaQF WSpbKEJkS3YlWoRyhCIRIrJEQqWiHS1UtJz+bb//eb7ed3rnzp2Ze+9sd7qf55z3mPvee99tOqdn vtvvf94rIUSiIjkVQiQMiOmYMWPc008/7X788Udvb/r8888/7ueff/ZeieykTp067vDhw96r6Ni1 a5ebOXOmmzBhgnv11VfdDz/84L0jhMhrSE6FEAkDkbn77rvPbd261aQzI/78808TnSuuuMJt377d 2yuyi6SkpKj/EDh48KAbOXKkO/PMM12xYsXciSee6EqWLOlq1qzp1q1b5/766y/vk0KIvILkVAiR EBAp7d69u+vfv787cOCAtzdtkNd58+a5IkWKuLJly7otW7Z474jsYtSoURbdjhRKAJ544gl3ySWX WMT0yy+/dAsXLnRVq1Z1+fPnt993JL9rIUR8ITkVQiQEq1atcrVr13YjRoyIODrH51q3bi05zSFu v/1298svv3ivMmbFihXujjvucK+//rr7+++/bR9/VLz44ouuUqVK7tZbbzVhFULkLSSnQoiEgAhb 6dKl3fTp0709GUNaH9EpX768279/v7c3ayDdjFytXbvWHTlyxL3xxhtu48aNFuHlvdCyA17zuW3b trmVK1e6PXv2uN9//z3F5/jeH3/8kWIf0sa+YHr722+/tXO///77JoOce9iwYW7JkiV2jmjgXL/9 9pv74osvks/LObmPb775JsW1BJk7d6576KGHkrcbbrjBnXDCCa59+/Zu8ODB7vrrr3f169d3bdq0 8b6RGv54OHTokPfqX1566SWT0w4dOkhOhciDSE6FEAnBgAEDXL58+WKS07PPPjs5MpdVIMsFCxZ0 xx13nLv44otdjx49bKN2kojfRx99lCx2fu3rZZdd5k499VRXrlw5d/rpp7s777zTffbZZ8mfu//+ ++2YiCcgr9Rj8vlOnTrZPqTx0UcftfNyDFLgJ598solh8+bNTX4jBeFdtmyZO+OMM9xZZ51l30VU 58yZY8du2rSp++STT7xPp2TBggV2Hf5GucVJJ53kevbsmWL/xIkTvW9kDM+B++vcubPVnz755JPu 119/9d4VQuQVJKdCiIQgM3JK5DSrI3CI3S233GLRXF8I2bdmzRqTVWTyp59+sv2IaYMGDdygQYMs Ggmksqm17NWrl/vuu+9s3+bNm13RokXtGD7UcM6aNStZTmHnzp2uSZMmFl0cO3ase+2119yMGTNM GP3jRwLHRoiR38qVK9tx2UfDGen2Zs2auU8//dT7dMZcdNFFyfccLTw7RH3gwIF2X126dHGff/65 964QIi8hORVCJAS+nE6bNi3NVHMoyCkNNtlRc0oktm/fvhZ1DEKamjQ34kmdLJ8j+olchoreyy+/ 7C644AK3Y8cOe813iRgGSxCIniKdQTn9+OOP3Y033mgRxsyCzNaoUSNF+n3v3r3utttus+NH0+B0 zz33xBTp5B7fe+89S+NXq1bNhNsXdiFE3kNyKoRICHw5feyxxyz1HAmIITWh2SWnSGionAJCzH5S /8zrJNVNyj/c7M66detapBKY9ckoJWpXfcLJ6ffff2/PI7Nyyj1wLkY3TZ061fb5qf569eol7wsH 0krNKDLKcfgeUkk9LF34vMdGTSzvpQX3t3r1aotCcz+bNm2yGlshRN5FciqESAh8OWXOaaSpaz+t nx1ySvSWpqC05LRMmTIma0RBSVFz/aFRSCSMCQQINIJHZJW6Tb/mFNKTU7rj+V6scD19+vSx0gRW 3QJGN/Xu3ds1btzYIrRpQakC8k1d6IYNG9z69eutAWr06NFWsvDMM8/YxjgvrjccPEPEnN8p5RrU m/ogtIgu9y+EyFtIToUQCYEvp/369UtTdkJBTpEumnuCdZxZAWJFhJFjcx4fZIqVjqib5NxEFh9+ +GHXtm1bq031ZRL5euutt6xJCnH295cqVcq67n2IElPKQGTRh5Q3JQXt2rVLIXTRsm/fPlehQgWr Ff3qq6/smt58800rNbj22mtNHIl+hoOO/Kuvvto2SgBo7qLZq2PHjia3/kadLZMAwkEZA/NNhw4d aqUERJbZuC6eDRMIqEMVQuQtJKdCiITAl1NEL9KmG0QROaKOk++lJVqxgJwywgmZ9KOyREJpaqIe lI79r7/+2vbzOeQSCXvnnXes8YjII+OWiFwG6yurV69u90rElW337t0mtpdffrmtpsR5mQTA8Um9 c75YQIbpyi9evLgbPny47eP50F3Pc2bxAqQzmqYkhDaaUVY8l1atWllkmWfjbwzfv/DCC+2+o2nI EkLEB5JTIeIUJIL0JmnN+fPnW8MHKVPEgrQtkTzS0+nV4+U0yBX1gvGIL6fRpPWJOtJ1TmSQhp+s FB1+v0Q4Cxcu7Lp162a/U14PGTLEooeIlw/PdfHixSZ7XA/peESOBiLkM5iaHz9+vI2EYgzTpEmT bMlWZK1Ro0YW1eT3Q40m3fq1atUywYwFzklannIBf9YocspkAKYNIL+cLxpY8CCaNfGZZ1qlSpWw G41RlAVk5R8UQoicQXIqRJyCdCIiNLiwtvuiRYvcBx98YGLhDy1HZNiXm5B25ppIRZNiffzxx93y 5ctTSSr1iaRec4tY5BQBo8kIMUQWYx1zFA5fTk855RQb40SjFjWmzz//fFgJRlAZmu8/56VLl4ZN ySPUHJfaTeSMuk9S7pQQ8DPH4V/qXUn300AUK5RHkEL3oTyBxQEQ7VjGOCGnTB7g2UQC6X5+N+E2 xmP50iyEyFtIToWIUxCjKVOmuBIlSlj0KwjRJaJWRKiIkOVW0weyRkMLaWhmWpImJhJIzSGCEASR QKaRo9yA9Pyxxx4blZxmJwjYK6+8YkP3xVGQUyQ6UjkVQvw3kZwKEacQOW3RooXNkDx8+LC391+o PbzqqqvcTTfdlGKuJZ8l8pYT6UxKC2hkQVDfffdd9/bbb9vYIwQV0QhC+pkaSX8mZ05DLWKhQoXi Rk7544Moabhu/URFciqEAMmpEHEKqVfGAtFdHgriSkMMy2pS2xfsPmcwO9FU0qvZDaJJR3Zwbijj exBqusiDIMw0qIwbN87bk7PQHU6JBKlzZmfmNjQ7MTSeGaEImUYeHV3SlP9uJadCJDaSUyHiFNLQ LEUZbr4mKfK77rrLxhBRqxgcRUTkkuYd6hOD0EhFg9X27duT/+eP5BLxZE5mVkHJAWOQWOEoCLWJ NPpQRxuEuknWXw/duEdqVFk21K9t5HqpXUVg+EwwYpwR1Jwy9ii03CC3YNTRzTff7K677jqbBEBd qBBCCMmpEHEL65XTLMOoH1LibEQq6d6na5uB5YzwCUZIiQgycqhly5buww8/9PYeTanzHRqrGjZs aDJLwwrrolMakJSU5H0ycxBBZW3z/PnzW6QyCHLJtdFJHoR7ojEndHvqqaesUYgGoOeee866wIkK 06Htf4a0eKQgp0SZcyKiHAk8D6LObExiyMpmKyGEyMtIToWIQ+g0RvCo0aT7ffLkybYhZLNnzzZR W7lyZar1w4k2IpqhcorE0b3NSKRzzz3XBG3EiBHWoMQ4IcoDMgud0UwRYJA61x0aCSQCipgydD0I UVEENZYtNDqcFkwUYKUnIsfBKLMQQoj4Q3IqRBzCUHFS9ggYkulvpLIR0rTqE0mp0znP9xFVH1bJ QRbPOeccS6tT48gEAPYjq8zMzAxcJyl7pgcwRSDceCsihTRvhcppTkBUkhKBzKyGJIQQImeQnAoR Z5CaJ5IZXG4yUugAZ0A7EojIBiEdzlgqahypO6WrH0GldIDmqlhBTKlxpX6SWaBpTQlAlq+55ppU corI+uuoR7sRVY4EoqXMXeX5CCGEiG8kp0LEGaSfGXlECjoWunbtagP6g2l90tqk2gsWLGjpfWpD ETaWtGR/sNs+Gvge0ss1M12AhqW0oMa1cePGKeSUmafIKbWk0W40gnEvQggh/ltIToWIM0i7V65c OWZhpEkKAWTmqA9NVMzTpObUX6+dqCmjqhg7Rf2qD2UDRFIjqedEoJkCwLWGjv9hDmsQ6lwZL0XZ gQ/foUSBaGu0G9cZHKElhBDiv4HkVIg4Ytu2bdZQlJkaUFYdQgDXrVvn7XG2Bjvpe9Y696ObDKM/ 5phjTFqpUfVhtBQRVbr701vnHPml+79p06aW0g9u1J6Swg9CmQHS/Mgjj3h7hBBCiNRIToWIE6if ZNlPuvSPP/54m30ZCzT9sGpTsCyAznyWQiXi6NOtWzdL8/fq1SuFhCKnNWvWNJEkVZ8W8+fPt6U3 CxQoYGUIwY176N+/v/fJo1DnynHDrRufE1APu3r16lRr/gshhIgvJKdCxAkMZSedvmTJEttWrFgR dtnSjCBVjmAGl+gkdY6UBVPvpOIRWYbaBzl48KDNKG3Xrl26DUTUi3J9HCPcFnpcpgWMGjUqVfo/ p2BuKjWvjOmKFJ4ZjVeUPrCxTCsrYIn4g6wAc2wrVqzoihcvbvN7+YNEK28JkfeQnAoRJyBtoVus ZOa7RFGRsDFjxnh7sgauKTe75Sl3qFatmi08EIlgIun16tVzhQsXdnXq1HHFihWzqDCCywguER8g n5MmTTIpbdSokWUE+D2TFeB3hqCm16gnhIg/JKdCiBTQxc+yoME5qf8FkJRLL73URHPDhg3e3vAg 0kwxoH6WiC9STYMYY7io3aXpTMQHTHugfprIuB8l5b/dZs2aWckJc3eD5SxCiPhHciqESAgWLFjg zjvvPFt0IDidIBw7d+50Dz74oPfqKETfKLUoW7ZsqvdiAeGl9IHNn8PKzwhWWpE+vkM5BZ/h39AI uf9+6CpYvGbzI9d8j9f+udj4Ob1zpwfH4/o5tw/n8veFXmdOQA03C1lMnDhRcipEHkNyKoRICPzI acOGDVONuYoExJE1/kuVKuWGDh3q7Y0dSgP69Onj+vXrZ7Nip0+f7oYNG2Z1uWvWrLHFGIJwftbg f/bZZy1yO3PmTGtYQwB9iBhSI7to0SJvz9Hv+bXMfjkCssY+JifQJEa9Jj8PGjTI6pWjAQlladqx Y8e6uXPn2j7Ed9euXVYa8sILL6S6FySYazhy5EjyRg0018rPfJ/3+Rz7qW1mlS/m9UYCxxk4cKAr U6aMLd3LayFE3kFyKoRICHw5JTWP5EUD0US+07ZtW1ejRo0UM2RjhdpealqpjWTs1uLFi93y5ctt 0kKVKlVskQHkDBA0pLR69eo25uuBBx6wcWOUKCCivnwhq6wu1qBBA3sNyB4TGcqXL2+pb2BG7IAB A1yRIkVspi4lDEg7c2iXLl1qn4kEIqI03jGbt2jRonZtPCsiz9wHcti6detUExo2b97sZsyY4SZM mJC8IctEpqkfRXZnzZplz5nrGT9+vE2cYLGHjECEeVbnn3++NUUxh1cIkbeQnAohEgJfTpnNumnT Jm9vxhCZJNKKvFESgDRmBYgd0UwisVu2bPH2OosSEoVE9NauXWv7kDZeI9Z+1BdhZVxX1apV3dat W5NT9ixfS71lEOpm+a4vp4D0cT80ELGYAedFIolQRgoiikBOmzbNzsnKZIglkd/169e7zp07W92u v/BDdsL9Hzp0yE2dOtXm7CL+XFssZQpCiNxFciqESAh8Oa1UqZLJXiQQhWP0FBFTuvSJUiKFWQFy yjWVLl3aIo1BWEDhyiuvTBbhyZMnm1QTXQyC9BFNHTduXHLqnJFX9evXt599wskpzwCBoyYzMyCF XD8zbKnzRJ65LgS1SZMmJtqhEBH2U/XpbXyG4/MzkeYDBw6kqGsNwvK4I0eOtHvv3r27lRVITIXI m0hOhRAJQbRySsSUhQZatWplgsVoqawGiSNyunHjRm/PUaj7ZM6sL6fUgzZv3jxsOQKLJdx9990W NYScllNkHSllKdwePXqYRFJKMHr0aLu2YFTYh+vhnpFwJJa613Ab7/N74F8ivdT8hluylrIGygR4 DsuWLVMDlBB5HMmpECIhiFZOSUsz1J3FEYLQrIN8BRuRYoXFCsLJKeemjMCXU+otSevTuBQKNZ3U lKYnp6TaOV5WyynRX0ST8xEBpnaUfURPSfGzyhlRz9CGJCKiNG9RRsAoKCKv4TbeI/q5Z88ee80S uKHHQo753KpVq+w+hRB5H8mpECIhiEZOGdKflJRkKX0afthIKdPtThSP9DqCmlloTAqVU9LWjL2q Xbu2NfYAiyJQR8m/fpMUIGWk9YlS+tFC5JQUuy/PpMWJxFJfGpRTmq8Q3szIKaI+b948W263ffv2 JttcB8ek0YpI6pw5c0xgswPujbpSzscfETQ/7dixwzaarljCN7g0b1rwzPnOwoULc215XSHEv0hO hRAJAenjunXrunLlylnqNz2o4aT7nOHu/kZ0kmajFi1amABmFiKM27Zts3Q4I5eICpLmR7bofu/Y sWNyJBBxIhLZsmVLW+kK2aSZin1cD6/9+kqak1gogPpYpBBB69mzpy3p2bdvX4s0Iq6MnKpQoYI1 VcUq2ox26tChgwny9u3bbR/XTCNUyZIlrVueaGq4VHxWQASWkgfm1/IsEGQas9iICteqVSuiyQxI NWO9TjvttEyXOQghMo/kVAiREJASZ1QS45MyGknUtWtXi7KG2xBEoo6ZBTmly56oY5s2bWzOKZFS ZI4ZnaT2fYhQkrZG+ig16NKliwkYKX0iwsFoKitZ0cCF4M6ePduWa0VOqf/k+0SBaZ6inpZxVKTe 9+3b5307OkixDx482E2ZMsXbczQazKpMnTp1srmnpPWzC3+pXZ4JvzM2pgPwXNh69+4d0UpnSDbz WO+9994M/3ARQmQ/klMhREKA7NEBny9fPmusSQ8imkhfuI0UfCSp4kggYleiRAm7HsoFaAIiAhk6 tN6HlDMD+xEyUv+kscPVvvI5/3ppSEJeSXNz7aTdibISzSQiSz1nrBMISKtT7kAE04d93BeSmt1w HzSqcS4EnvQ88s39sxGJjrQ2mGNlRamGECLzSE6FEAkBEkXksFChQhnKaU6RVkOUEEIkMpJTIUTC wKpDFStWjAs59dP61IKSYhdCCHEUyakQImHYu3ev1Woyoim3Z2EyEYBZpgUKFLBh9bt37/beEUKI xEZyKoRIGKgrpPFlyJAhub6CEKI8fPhwW+OelY1Y4UgIIYTkVAiRYNA9Tmc8HeX79+/39uY8dIjT lMTGAH0aeoQQQkhOhRAJCFLKXNGsWidfCCFE1iE5FUIIIYQQcYPkVAghhBBCxA2SUyGEEEIIETdI ToUQQgghRNwgORVCCCGEEHGD5FQIIYQQQsQNklMhhBBCCBEnOPd/Nl2O7zQ5bQAAAAAASUVORK5C YII= --00000000000084f4f905d78e7db3--