From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on inbox.vuxu.org X-Spam-Level: X-Spam-Status: No, score=-0.6 required=5.0 tests=DKIM_INVALID,DKIM_SIGNED, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,T_SCC_BODY_TEXT_LINE autolearn=ham autolearn_force=no version=3.4.4 Received: from cgl.ntg.nl (Cgl.ntg.nl [5.39.185.202]) by inbox.vuxu.org (Postfix) with ESMTP id DD0872B0EA for ; Wed, 17 Jan 2024 13:52:42 +0100 (CET) Received: from localhost (localhost [127.0.0.1]) by cgl.ntg.nl (Postfix) with ESMTP id 25CF0483C42 for ; Wed, 17 Jan 2024 13:50:22 +0100 (CET) X-Virus-Scanned: Debian amavisd-new at cgl.ntg.nl Received: from cgl.ntg.nl ([127.0.0.1]) by localhost (cgl.ntg.nl [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id 7aqFwQ0wpxBc for ; Wed, 17 Jan 2024 13:50:21 +0100 (CET) Received: from cgl.ntg.nl (localhost [127.0.0.1]) by cgl.ntg.nl (Postfix) with ESMTP id E9CFB483A93 for ; Wed, 17 Jan 2024 13:47:52 +0100 (CET) Received: from localhost (localhost [127.0.0.1]) by cgl.ntg.nl (Postfix) with ESMTP id 83DB3483B46 for ; Wed, 17 Jan 2024 13:47:04 +0100 (CET) X-Virus-Scanned: Debian amavisd-new at cgl.ntg.nl Received: from cgl.ntg.nl ([127.0.0.1]) by localhost (cgl.ntg.nl [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id bm2PqfLaegBy for ; Wed, 17 Jan 2024 13:47:03 +0100 (CET) Received: from flump.de (flump.de [185.163.118.210]) (using TLSv1.3 with cipher TLS_AES_256_GCM_SHA384 (256/256 bits) key-exchange X25519 server-signature RSA-PSS (2048 bits) server-digest SHA256) (No client certificate requested) by cgl.ntg.nl (Postfix) with ESMTPS id 719204839A6 for ; Wed, 17 Jan 2024 13:44:55 +0100 (CET) Received: from falbala.localnet (unknown [130.75.33.21]) by flump.de (Postfix) with ESMTPSA id 28C796197B5 for ; Wed, 17 Jan 2024 13:44:55 +0100 (CET) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=flump.de; s=mail; t=1705495495; bh=rgPfhWeKAOAPw4bfqyx8U0aEp7rJJ3oQuIKuh89byaY=; h=From:To:Subject:Date; b=WwN0DPp4luUnw8DhycCPTyqMniko7PDFaGK2CMVKcJyXqYP/554qZxEjGtzA/nIyb iJZdasrsIsIHdVTXW9jJFPNgJwGYamVSrPCYVYQPjmwvqVzAECES7cKVYtWZWaqZHb F4apP/Zf5UUYkUH9FUxpOMAFH8kglZmnoJej5yWY= From: Gerion Entrup To: ntg-context@ntg.nl Date: Wed, 17 Jan 2024 13:44:51 +0100 Message-ID: <3334325.44csPzL39Z@falbala> MIME-Version: 1.0 Message-ID-Hash: T5LWVCUGXINVJSHP4YHCUCNAS67L2ZBA X-Message-ID-Hash: T5LWVCUGXINVJSHP4YHCUCNAS67L2ZBA X-MailFrom: gerion.entrup@flump.de X-Mailman-Rule-Misses: dmarc-mitigation; no-senders; approved; emergency; loop; banned-address; member-moderation; nonmember-moderation; administrivia; implicit-dest; max-recipients; max-size; news-moderation; no-subject; digests; suspicious-header X-Mailman-Version: 3.3.8 Precedence: list Reply-To: mailing list for ConTeXt users Subject: [NTG-context] Suggestions and problems of the manuals List-Id: mailing list for ConTeXt users Archived-At: List-Archive: List-Help: List-Owner: List-Post: List-Subscribe: List-Unsubscribe: Content-Type: multipart/mixed; boundary="===============2968993008124996954==" --===============2968993008124996954== Content-Type: multipart/signed; boundary="nextPart10460184.nUPlyArG6x"; micalg="pgp-sha256"; protocol="application/pgp-signature" --nextPart10460184.nUPlyArG6x Content-Type: multipart/mixed; boundary="nextPart8380312.T7Z3S40VBb"; protected-headers="v1" Content-Transfer-Encoding: 7Bit From: Gerion Entrup To: ntg-context@ntg.nl Subject: Suggestions and problems of the manuals Date: Wed, 17 Jan 2024 13:44:51 +0100 Message-ID: <3334325.44csPzL39Z@falbala> MIME-Version: 1.0 This is a multi-part message in MIME format. --nextPart8380312.T7Z3S40VBb Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="UTF-8" Hi, I discovered the manuals in the context distribution. My general way to built the manuals were these steps: ``` # execute one time git clone https://github.com/contextgarden/context.git cd context/doc/context/sources/general/manuals/ # for every manual cd $MANUALFOLDER context $MAIN_MANUAL_FILE.tex ``` Is there a way to speed this up, so to build all manuals with one command (some make file or shell script for example)? I saw some problems within the manuals: =2D In units/units-mkiv.tex the spacing seems not to work with current LMTX. See the attached screenshot (units-mkiv.png) for my rendering. In my understanding the spaces should differ. =2D I changed some typos(?) and other stuff in that file. The patch is attached (0001-units-mkiv-improve.patch). =2D math/math-mkiv.tex seems not to compile. The last lines of the log: system > system > ConTeXt ver: 2024.01.08 11:23 LMTX fmt: 2024.1.16 int= : english/english system > system > 'cont-new.mkxl' loaded open source > level 1, order 1, name '/home/gerion/context/tex/texmf-c= ontext/tex/context/base/mkxl/cont-new.mkxl' system > beware: some patches loaded from cont-new.mkiv close source > level 1, order 1, name '/home/gerion/context/tex/texmf-c= ontext/tex/context/base/mkxl/cont-new.mkxl' system > jobfiles > using path: /home/gerion/src/context/doc/cont= ext/sources/general/manuals/math system > files > jobname './math-mkiv-t-b-ce3b35636ef01ee62897a2b= eb76049e0', input './math-mkiv-t-b-ce3b35636ef01ee62897a2beb76049e0.tmp', r= esult './math-mkiv-t-b-ce3b35636ef01ee62897a2beb76049e0' fonts > latin modern fonts are not preloaded languages > language 'en' is active open source > level 1, order 2, name './math-mkiv-t-b-ce3b35636ef01ee6= 2897a2beb76049e0.tmp' fonts > preloading latin modern fonts (second stage) fonts > 'fallback modern rm 12pt' is loaded visualize > enabled open source > level 2, order 3, name 'math-spacing-001.tex' close source > level 2, order 3, name 'math-spacing-001.tex' pages > flushing realpage 1, userpage 1, subpage 1 close source > level 1, order 3, name './math-mkiv-t-b-ce3b35636ef01ee6= 2897a2beb76049e0.tmp' backend > xmp > using file '/home/gerion/context/tex/texmf-context= /tex/context/base/mkiv/lpdf-pdx.xml' mkiv lua stats > used config file: selfautoparent:/texmf/web2c/texmfcnf.l= ua mkiv lua stats > used cache path: /home/gerion/context/tex/texmf-cache/lu= ametatex-cache/context/5fe67e0bfe781ce0dde776fb1556f32e mkiv lua stats > resource resolver: loadtime 0.003 seconds, 0 scans with = scantime 0.000 seconds, 0 shared scans, 15 found files, scanned paths: mkiv lua stats > stored bytecode data: 515 modules (0.131 sec), 105 table= s (0.007 sec), 620 chunks (0.139 sec) mkiv lua stats > traced context: maxstack: 1743, freed: 0, unreachable: 1= 743 mkiv lua stats > cleaned up reserved nodes: 103 nodes, 7 lists of 437 mkiv lua stats > node memory usage: 6649 attribute, 1 glue, 144 gluespec,= 4868 glyph, 1220 hlist, 1 kern, 645 mathspec, 2 penalty, 616 rule, 2 temp,= 7 whatsit mkiv lua stats > node list callback tasks: 16 unique task lists, 12 insta= nces (re)created, 235 calls mkiv lua stats > driver time: 0.021 seconds mkiv lua stats > used backend: pdf mkiv lua stats > jobdata time: 0.000 seconds saving, 0.000 seconds loading mkiv lua stats > callbacks: file: 137, saved: 1212, direct: 2, function: = 814, value: 429, message: 0, bytecode: 620, late 0, total: 3214 (3214 per p= age) mkiv lua stats > randomizer: resumed with value 0.82928645897044 mkiv lua stats > loaded patterns: en::1, load time: 0.000 mkiv lua stats > loaded fonts: 4 files: latinmodernmath-companion.otf, la= tinmodern-math.otf, lmmonoltcond10-regular.otf, lmroman10-regular.otf mkiv lua stats > font engine: otf 3.135, afm 1.513, tfm 1.000, 27 instanc= es, 21 shared in backend, 4 common vectors, 17 common hashes, load time 0.2= 99 seconds mkiv lua stats > visualization time: 0.005 seconds mkiv lua stats > math tweaking time: 0.145 seconds, 24 math goodie tables mkiv lua stats > page group warning: transparencies are used but no pagec= olormodel is set mkiv lua stats > font embedding time: 0.003 seconds, 3 fonts mkiv lua stats > result saved in file: math-mkiv-t-b-ce3b35636ef01ee62897= a2beb76049e0.pdf, compresslevel 1, objectcompresslevel 3, 14 streams, 0 unc= ompressed, 9 compressed, 5 not compressed, threshold 40 mkiv lua stats > positions: 4 collected, 0 deltas, 0 shared partials, 0 p= artial entries mkiv lua stats > used platform: linux-64, type: unix, binary subtree: tex= mf-linux-64 mkiv lua stats > used engine: luametatex version: 2.10.11, functionality = level: 20231231, format id: 698, compiler: gcc mkiv lua stats > tex properties: 807097 hash slots used of 2097152, 50666= control sequences, approximate memory usage: 49 MB mkiv lua stats > lua properties: engine: lua 5.4, used memory: 84 MB, ctx= : 80 MB, max: 80 MB, symbol mask: utf (=CF=84=CE=B5=CF=87) mkiv lua stats > runtime: 0.528 seconds, 1 processed pages, 1 shipped pag= es, 1.895 pages/second mtx-context | purged files: math-mkiv-t-b-ce3b35636ef01ee62897a2beb760= 49e0.log, math-mkiv-t-b-ce3b35636ef01ee62897a2beb76049e0.tmp, math-mkiv-t-b= =2Dce3b35636ef01ee62897a2beb76049e0.tuc system | total runtime: 1.044 seconds of 1.071 seconds buffers > typeset > no changes in 'demo-4', processing skipped floatblocks > '3' limited floatblocks > 3 saved pages > flushing realpage 14, userpage 12, subpage 14 floatblocks > 1 moved floatblocks > 2 moved floatblocks > 3 moved pages > flushing realpage 15, userpage 13, subpage 15 pages > flushing realpage 16, userpage 14, subpage 16 pages > flushing realpage 17, userpage 15, subpage 17 pages > flushing realpage 18, userpage 16, subpage 18 pages > flushing realpage 19, userpage 17, subpage 19 structure > sectioning > section @ level 3 : 0.3.1 -> Scripts tex error > tex error on line 370 in file /home/gerion/src/context/d= oc/context/sources/general/manuals/math/math-spacing.tex: Math error: param= eter 'subshiftdown' with id 49 in style 2 is not set \math_m_nop #1->\relax \ifmmode #1\else \normalstartimath \usemathstyleparameter \= mathematicsparameter \c!mathstyle \expand \everyinsidemathematics \relax \b= egingroup #1\endgroup \normalstopimath \fi {\switchtobodyfont [cambria]\math{F_j =3D \int\nolimits _a^b} } {Cambria} 360 font can be very detailed in where italic correction is to be appl= ied and how 361 advanced stepwise kerns are used, but not many fonts have extensiv= e information. 362 Here are some differences in rendering. In \OPENTYPE\ the super- a= nd subscript of 363 an integral are moved right and left half of the italic correction. 364 365 \startlinecorrection 366 \startcombination[6*1] 367 {\switchtobodyfont [modern]\math{F_j =3D \int\nolimits _a= ^b}} {Latin Modern} 368 {\switchtobodyfont [pagella]\math{F_j =3D \int\nolimits _a= ^b}} {Pagella} 369 {\switchtobodyfont [dejavu]\math{F_j =3D \int\nolimits _a= ^b}} {Dejavu} 370 >> {\switchtobodyfont [cambria]\math{F_j =3D \int\nolimits _a= ^b}} {Cambria} 371 {\switchtobodyfont[lucidaot]\math{F_j =3D \int\nolimits _a= ^b}} {Lucida OT} 372 {\switchtobodyfont [xits]\math{F_j =3D \int\nolimits _a= ^b}} {Xits} 373 \stopcombination 374 \stoplinecorrection 375 376 \stopsection 377 378 \startsection[title=3DBad fonts] 379 380 There might be fonts out there where the italic correction is supp= osed to be Sorry, but I can't typeset math unless various parameters have been set. T= his is normally done by loading special math fonts into the math family slots. Yo= ur font set is lacking at least the parameter mentioned earlier. mtx-context | fatal error: return code: 1 =2D I tried to find a prebuild version and found https://mirror.contextgard= en.net/general/manuals/math-mkiv.pdf. However, this document seems to be from 2021 and has a kind of wobbly rendering in Okular/Poppler (I remember the same phenomena with early LMTX). See the screenshot attached (math-mkiv-online.png). Is there a newer version somewhere? Maybe it is meaningful to delete the old version. Best Gerion --nextPart8380312.T7Z3S40VBb Content-Disposition: attachment; filename="0001-units-mkiv-improve.patch" Content-Transfer-Encoding: quoted-printable Content-Type: text/x-patch; charset="utf-8"; name="0001-units-mkiv-improve.patch" =46rom 187f2bf0901d414bf55869054d29ee2c4bec1a64 Mon Sep 17 00:00:00 2001 =46rom: Gerion Entrup Date: Tue, 16 Jan 2024 23:40:40 +0100 Subject: [PATCH] units-mkiv: improve =2D typos =2D remove getbuffer without context =2D demonstrate usage of pm and to =2D-- doc/context/sources/general/manuals/units/units-mkiv.tex | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/doc/context/sources/general/manuals/units/units-mkiv.tex b/doc= /context/sources/general/manuals/units/units-mkiv.tex index d70c7221f..a1631aadb 100644 =2D-- a/doc/context/sources/general/manuals/units/units-mkiv.tex +++ b/doc/context/sources/general/manuals/units/units-mkiv.tex @@ -347,12 +347,10 @@ we give an example below. \stoptabulate =20 The \type {_} character serves as placeholders. There are some =2Dassumptions to how numbers are constructed. In principe the input +assumptions to how numbers are constructed. In principal, the input assumes a comma to separate thousands and a period to separate the fraction. =20 =2D\getbuffer =2D You can swap periods and commas in the output. In fact there are a few methods available. For instance we can separate the thousands with a small space instead of a symbol. @@ -516,8 +514,8 @@ Here are some goodies: \type{1 } : \unit {30^2 meter per second} \type{2a} : \unit {30 =C2=B1 10 meter per second} \type{2b} : \unit {30 =E2=80=93 10 meter per second} =2D\type{3a} : \unit {30^2 =C2=B1 10^2 meter per second} =2D\type{3b} : \unit {30^2 =E2=80=93 10^2 meter per second} +\type{3a} : \unit {30^2 pm 10^2 meter per second} +\type{3b} : \unit {30^2 to 10^2 meter per second} \type{4 } : \unit {30 (10) meter per second} \type{5a} : \unit {30 (=C2=B1 10) meter per second} \type{5b} : \unit {30^2 (=C2=B1 10^2) meter per second} =2D-=20 2.41.0 --nextPart8380312.T7Z3S40VBb Content-Disposition: attachment; filename="math-mkiv-online.png" Content-Transfer-Encoding: base64 Content-Type: image/png; name="math-mkiv-online.png" iVBORw0KGgoAAAANSUhEUgAAAUgAAACFCAAAAAAcfj4xAAAZ+0lEQVR42u2deYCN9f7HPzNmMxtj JvsyQglphEh22WKG30URJSFFC9c696KE21TWbKWSbFe5XUQLylYxKWRLCdnHOhNmMcs5r98fz3Oe 5/s95zAzF13dzvefOXOez3O+z/c15zzLeV7z/gq+dkOa+BD4QPpA+kD6mg+kD6QPpA+kr/lA3oIg zzh+py1I+d8Cmb12/aZvtiYnJ2/5auOXX++bFh9w4vfofmXiXe3+t0BmSMW4uLgwKRkXFxddZ+O0 cFFBnrxZ3b/1pCggHX+Id2f6b9f8aFcGaCPjgMPNoZ4Kcpb842Zt1S4VZDe/rwu1cuqP19N1odfO 2QaQWzYq41ogWwDEy2tAdmtoqIL8V/H5NwvkXhXk0Nv2FmbduaFjrqPnQq+9rWwTAOd9d+dcC+QP AJ1kEsBON5A3sWkgC9mGyuzr6LnQa6+Shwt81O5sgMQAmXvSQm+8mZ0pqfreAlLPAnA62/WcMyXT tcfLxHk6XalVflhVOshso8Pc45fVbjKd6qbgPO00HvxdFmqbk+G+i01NcQBHTqeePXaFjBPnzx4F yDiera/tTMktyIDWSV9tDJB2sUAgV5aUgDYHIWvN2GpJwK896vWsVfpVsyBv8+T6/U40Fan5A5tu l8DuqQAnn40Uv7p74OInf6u4aP89IjW+gLyNSff2A76b8eB9WpUG8uyygdHJwKbmLR8pe9fn5rPH P+gfaW0KsLVD14dKtdoJ8LxM27P1lGv1D+qLhL3otLEm3t2jWcTDMCBISo84wYFnixZLhHfu7ZwQ 0ei4vfbxZx/oXrnN/vwGBP+WR3/c9uOBeV2LAXBxQqxI7Y35gxzy5McfNZE6Do6NqSlJkH7nTGDC 464/3ouNpVnzWWsek3KzWy1Z1VB6AaeiPzm79zmJg92jK0qfhCWf9ZWw46S/2Ej6Aa92k3palQZy c2IxSYbdoXsg+6F55rMfDwuyNwWmlt4NJ+8IWMDh+4tIcHj4GrPur385dGJFFVlhjaVnN2BjZWCk tAKgzFJ4OzYdTlY8bK29JmouXKhaIiWfATm7hUhAePjoBc9ICMAXleYcOzAl9I38QU4CsirKLmCy JMFn8gPwW3/7HFAqXgDn3dLBASnBgblwMhGgmRwAhkiCA+gm04Hl0g/gpNRDr9I+2vGSDCOLA6xY bD1bR9mUfYETAfb5RR53OIbJUnvdsUeADfKotSspMg2gG3C8SFg68G1NoEFngMEnXWunRMYDzJah +Q0oZ7U8DUBECLAreD7ASNcfLvPqII8CPCnLgRmSBMvk0TTAvuD5TPoAPCfvGsM9bD6f1V82ASPl fYAF8gLwmQHynNRDr9JAdpFkGCSTc8Fpf0YbKJvSQ74DoK28DBpIAA5KC9fDc361D7g2t4MsBPrP BWpGrDOfNdaeImMB1kuLfAfkAhkdArQrmgfwnesM+91rHWys3mZKElwoKYGNR3xhF39uwBkt8wGa y0Egd2m/Do80kxXAKFmE1b1Ze94AqVRpILtKMmwIkGIdJirnQeqmVBdjnzheuriD/HlCQvyggDjr 91biV+vppVkAy6UNpFfIAMaLlH909mlraP0lpl7zli2b3j8y3wG5QMaEQGaR6vqfsHfBQXKka4iI tMy4Bsifqt67B5LyAalWeYJkfRM/Ef8R3kA6A8Q45CyU1m4gEwOnpkOIDTJzyG0icvs+ILd0kVPM GwzA7DtFJOJD19q9lGuNfAakgjwo5XWQXQsBEjLXPh8qc67R7/1ymKuA7AtwROqhV3kBCec++Iuf 7Pf2jiwv6wFYJMN1kGvkcdBAgmPbxHLyCMAoeYUHfjaf/uXNelLKtfZIGUABB6SCvOznp1/evKyD NK5sjB3TcWPr/wnMkFdg8xaAj2SyvY/sa5yPvWf0+wt5AdEA/WUFMNI4T1stA4C10s14ubroVXuk rbqP3AqzLxk7qu142ZS28ncAJsrHOshxMgM45m+BTJ0LcKZIPMAvfrE/tAHAeEfcHek0114g5fIK OCBrHxkMVJG3NHLrdZD3yTDzUS352dj6d4EkGQPvvwnwjeywLhylB8BgmWX0uwtHsByANUGyDHjW 6Gq1PAYkS2UHfFVUaqBXbZUmdvft5Evo8xPAxBLW+NRNWSMxlwFqdwRGyOvWqhOkJ1xpIzVdTxzt DpATOgVj66oax9dGALROcK2dGWXQyz2S74A+lQ4AzlD/XJgjZQ5f9crmifvDIos9+BrwRsPwiCqP AMNDysZvbh8dGdV2y+TYnXC0wUtm8YmOZSIjW65f36ZY5G0d9kPL0GqdHS2k+cqRzz1ftM7f17cu Fnlbh4OwOiiq9ddciZGWc8fetSwwotG72FU5nSpGhDV+23jFhc3CIyokXIpvnwLflFln9vPG/cqm pDFAHjgPYxudAmZJ5Un9zMuMTRI8bUmnTwOKP7LNeGJ78AdOLvdvnWvuCioaf5iIxEwcb1U4Ya29 trh0+fz7efdsyGdAsE9CxwxPHnFPeESt53F2kajXv05+5ePCf0O+4oHilVp23nDNmkMPFq280uuS bxuExTx8JL8qgH/UKlajZb9frrZ4UbPojk/MdgCkdywaucT1/JRyRXumKXX7O5a8rUnr98yLv6wo 45iS3atS8fotX0pT1t7fp2ZgpYF7CjCgxOKBL9iLFrQoEVF7SMaf7VZDzTO+ezY3on3b03fz64a0 x7b4QN6QN2QjfCCvu33VeHzJjT6Q198m+ZV4Hx/IG9AuOfGB/MM0H0gfSB9IH8ib2/L1VfL2ZhS8 GHIu/DlAnl63YfOW5OTk5C2bN3yxb/3L91XNZ4UdsdLdeFQA9eriwqdvS/pzgPzEv3pc3D0it8fF 1Q4ZsmSE5APyyP0rZj1v+Fy6euX97f1mY/mTgPymJ0CQbALmvUR6fiAbTAOYJFNwU6+u0qb/WUB+ NwIgQrYBayZyJR+Qq+RjgEXF/0nBjKGZfxaQlw4BFJPvgbRf8wU5Ttbav/wRQGZpd8eywPCmbEEp HZwp7mJbpnEVlncFwJkBGWetZYbKdJVWXL43HlyRqpB5yr6aO6/fpntKjFvqjmwN5Hl3VzH3ZK4O UjG/LP3KasrC9POuo30epHLu5PnzJ8/BiTMXTlzWlnsOKPWCDfKrhI4JfUYBL74MTIxPaDc7a934 O5MuJPgNVASl/e91LcuyMhLUKNl+neOL+0ScgAvLB5deTcaaF6vMvNjFT8okZqGoTAUA6Xw5SIoO vAyQ+coDD99T81OlsItMX//pkY9HVVBu4npWbescIAHdUm2Qivml6FdmUxb+88GEVmWm5nF2+Qu3 Je+qKR8ubyoy6GOYVk8e3W0v9xxQ1qsVRcp+ZL0jU8vJCuBKyVoAG2Qxx8bUlDFN7wkYpQhK7zwp MW+1fWNOZ/G377qsHhooJ2Db6NKymoNjqsnYVsMXjC0tDXNVlSlfkOX7jF77bgV5Hjha/TEnjq72 p/l001ApFRu7anRZ5W64RxUr79h55psHZbAFUjG/bP3Keg9aC3M63X0Bpsvf2ZxYTOZXqy6fcypQ UgBe66ou9xzQvRNPHZwVGizKTmgMME/kO+DfdQEmS5mf2LBUFZScgf7POoHXpOQl+8XuMe7h95fV wHgptQ84EyuvqipTviD9tgF7/KKA+6JzgB+lrl34hPHRfkYB6Vm1ahlwMbKsBdI2vxT9ylVtLxwh 24G8MkXSIF6aXWLafugpUwCa71CXew6ojwN4UWyQP0ptoPZA6Q90fxdghgyyVzAFpbCQywB5VeVL JnXt2rVr1y+hgQFykKwGXjdv4s+XJprKlB9I4698u6SxQ5oC5PoH5bqDfMEG6a0KIPXuIg4XSNv8 0vQro1kL86L88gCayiboIsvM3YRUc8IvrVGXex9Q3nsKSKrKr3zZPKtE+CUulUo3/qivGIsUQSk8 xnjqMZmTVSkmJiam3AXLKnlWVgOTZCYAh6SUpjIV4GAD1JPTLJbQuKatWraq2znbHeRgG6S3qtSZ D8f3riK/4WF+afqV0ayFJ8WvZuOWLVrWb7cTuspWc3lDWQPD1+rLPQe0cdhDnburIIfKdOI/YYjM 4b0B2oFPFZRcIAeLspP3CvI3uU9TmQoO8h1p41HoCdJL1UfFep+CdjZIy/zS9SvXxZK58KAE2Ydz l4AES6QTma0Adbn7gDLblPjUQbIKcpO0PHCHk/0SR+PvVZCaoOQCmRCRqYI8bgxWBblDJoCqMhUY 5GdyZwFAelalhcY60EFa5pemX9mnbWufD5U5mSIpXkDmlC1y9M1FgLbcbUCJMg90kHnRAY9OA5rJ +3WMZ2YYH21NUDJBXo4eqmxPI9kHHCshqxSQ/wg7rapM30++5AWkcWUDZEkVE2QKRxUXzdV6yzpj H7kcU73yrNokXYC86vIbHuaXpl8ZzV54u+3YGSYX5m4gsU2useN2LdfcLIAWsgdYrILkcQn/DVgs IeY/TiTJGHATlMJDfwUYWUP9/6d2Mg+crUPkQ2CSDAQ4Ef2WpjLFevuvp8v+sto8s5YyJshD0Fbq /AagiCvdDAD9ZDEu9cqj6mup4IDR/nIOeEU3vzT9ymj2wlckahfAQadpchntTHCgoWnZy3U3C3hQ 3oajFTWQHxkErsSE/gaws310ZMm2E9wEpXCJeuP7zX17q54NkyV8zNz2A3oWLZ+QwSSRzqv2vV9/ NZrKNCJ2qzvGEx3vCo8o1/5T4KnqEeF1JwD3hVUfxOGacu/SHcs72AfYFpGR5eLPrnowMrJ0x19M 9cqj6mJxGbji8Rn3h7VesLN9icjimvml6lfmVlsLM7tIyRnfrXuuLQubhUdW6eA6R+5d5JyxB7CW 624WME4q/PONrnOCVZCXu/8EwJuvuw1YFZTCQxMiiz6wSi/IHloxqMY75i+TpFnVwErPpIG7ylSI C/GhDUNiun5a2Kp1tYIaacc11fxS9CuPhc5pbaIims294v5lnOtf+qzlHgPK7BsVNcHxH3xp4TrY XL259pG+Ww0+kD6QfxyQzqDI/EomyhQfyPzauJYiba75z9s7epeU0k/s8YG8druQlpGelnqtiivn L2VeOp/tA+lrPpA+kD6QvuYD6QPpA3mzmiqpXbOdzfOBvEbbbklq12w/vZEQePB/HqT3lKwCtZ1N Vr9fkJysb6YXM+7aXEdfJ285kDnbtF+vkpJVkJZR4e2CljY2shX+876umWz2XwFphmNZ7SopWQVp b8onBS01Qiquo69rJpv9V0BeOxyrUG2IrCscyN9jH6kkaVmSVybkXuJ4yoWzxy+Td+zcuWN5qCFY 1pvKSvJyD+TCM2vLCscyxC/slKycU8qtgPMXlZfPtTfosvKWelTm792eDppq5lYDcCbbAmn2ZSZ7 ATjMXl1L3ApsZc1F5ZJ1QzTdpdDZIO0kLUvyOrCgR3GWxhRJmRQr0aN2c+lvpcNeuGSFYCl7YTv4 Sg/kAs+sLVc4liV+WSlZnz/ao0bI0J93bTkBqYmPdAy7e+3+77fYqVskz2ze3jEyuIZ1QtPcXwJD Qo6qqpl7DXAhsVpAQPztchBcfVnJXrC5XaiEDnDunvPQncDhBT1D09UCl7LmSjYja1THHtWrvpQD u99OqO5S6CyQdpKWLXkteEZCPqhSVrL4l3kz/qGZ2CFY1oYqGV1ugVx4ydpyhWNZ4pcrJWtOlVQc /UUCArdxtvY02Bsp/gEJSofj2kvb52pFNLTeSjmmN6CoZu41MKvGp1dyNrcROQhmX65kL8js0frb sxualWBGD6kKfDjEX9KVAktZM5PNOFP9GQe8LnUymN7TVugskHaSlip5RfgPceYNgrxKsh1Ivz1L C8FyvSHt4CuPQC6PrC0lHMsSvyJCgEMyHkgLKuYEHgvJBYbLFD11a7sUXcqpl+zXMkBqqpl7zbuG Y+GMMz7aESHYyV7QvWoukBUHaabrUU3SlQIlyWyyJAE9i6cDPCx/hYu2QmeBtJK0NMkrWowbu7wm fYF3JughWGozgq88ArmMdlCrdoG0xK/oEOBNmQtwR0gOULoswBIZr3e4x45RUUFqqplbjbNSee1g Ex2CkuyVLBMBWAlZJsiakq4UKElmMyQJfjayVtgqwblk2QqdBdJK0tIkr5hgc3FqaNE0aH5BD8Gy ji9W8JVHIJdn1pYN0hK/YkKAmTIIcES3BYjxOwNMly16h3vVmCAbpKaaudX86grEMUHGhKAkeyXa 2UEu+6iWpCsFSpLZTEmCpfKUsVcJlD2qsGQfbFxJWprkFRPievSUTOXbF9BDsFyXX0rwlXsgl2fW lgoyWenmVGTwOpxj7zgNMFw6pXModopbhx4W/hPyBW5JX241e+Ve40FTBaSV7NVL3vEK0o7+spPM ZkoSjJdeRnkV+cY7SFeSliZ52SD3SDVnryPoIVhmU4Ov3AO5vGVteQfJvh5Bdf9vqqEeOiZXj36o 907cOvQOUlfN3GpygqMwP7IH1SEZyV7DZaQN0tC4YiVdKcBOMpspSfCOseeDqn6XvYK0krQ0ySs6 2HrYSt59DPQQLPPrFyX4yiOQyyNrS9tHblW7cQ6eZtfsaeb6LwK1wz3uH21DUtNUM/eapsaBfYfI L1ZfVrLXQol1nU7myG3GxsllpUBJMpshr8BWCUsDcITcqyl0Fkg7SUuRvJyh/taJ7UoJ2gZ6CJZ5 EqIEX3kEcnlkbWGFY1nil5GSxYgAW/w7EWXtHdQOk0W/uOQvshy3pC/3mp8j6l+G3Jahssvqy0r2 yrhdRrkKQ/wOQWqpYDmrFChJZkkyBpyNDO/yoyLJmkJngbSTtGzJa8Q9EeF14s0LK0fl2sYDKwTL 2lQl+MotkMtL1haucCxL/DJTsrhD6j4/atSof+wAlkh4j5GjRiXOu6J0mNOpUkREc+VLs2XNwyNL x59VVTOPGlgscXM+aj2tTVjVzg6zLzvZa1NxSfhw18qngXipMnVq3PuVwmoMsQssZW2nkWzGrpIB i+BgzTm6QmeBVJK0rqKC/ejyvDxCsJTgK89ALvesLXAPx7I+8ZVFRESKrICL/YzH0iAvn9Qto3mo ZmqbUbdojObPKclenOx7V1CFduuAlM4xYY03uxV4JpmdfvLO2L4DDt66X+yeHdj4h/Sc1O3dpTGs qPXG6SuZJxZHyRe+Ww2FbM3C0s3DbBwbxLwyeVm5tvSBLFBzBrUyT0OCn2OifGVeYPqd84EsZIuL NXZxSyL2sUKMrz2ya/fFB7KQ7fPA4bnA8rKfQHarMvuB013aZftAFrp927lOj16dXjgLkPF6jXZP PtLhY/CB/E9amvLFdm4qf6DmMy18IH0gfSB9rYAgr+z+KeOPOpCUWwfk+vpVm8YWeXDhH5Dit0nN i94yIF+OWQt8VaHBDXndM7m/5yhWJUnIrQJys79xC3VOp+t7QWO2wd1F2vy+44i6ZUB29zO+e9k8 4Lpez5xt8NdST/2+44i5ZUBWCza+Msi7vsPN9c1V+L8AsrSmdTnMGBGX3KT4TJro5JFzZc02aGlR 1tdg+vSG7qpVqhWbaXhb4M3VAs7rv2W4g7QmK1SsKm/zHSrbfkNBtpWYmebEEBdXDS+/CLK/GF9r GOg+kyY6ecm5MmYb3DK1iXFLdH7bHg3LPn7GY3pDN9XKjMVC8bZwc7Wea58Qn7gGLpbJhP3d4jt2 PqNGepkg7ckKLavK+3yH9rbfaJA7wkUktuPobbB3dHlZBGfHGvMEqT6TKjp5yblyzTY4rr20A5xd GqbBxrDoPW7TG7qrVmYs1mkUb8vd1XrVmEhxqvwLoHm9i1qkV4zbZIW2VeV1vkNl22/46c+JvqVE RPyeyIMXjPm6FsswNJ9JE5285FxZcxVul3bA2/INwGypn6dPb+iuWpmxWHPB8rY8XK2MsJB0cFQ2 buXWXq3bXjH6ZIWaVeVlvkM1w+smXNmkrB1XTmQajDRALpNhaD6TKjp5z7kyQe6RdkCZMANBlGzW pzf0plrlvSfjwPK2PF2th+Xf8O/W1fyPwU+VHLrtFaNPVqhZVZ7zHWoZXjfnWjujmcRbM8j9S4ah +Uyq6OQ958oEuVfawWm5w3jRVjJDn0zOQ7UyYrEGg+Vtebpai6U3NNn4moyF0S+72176ZIWaVeU5 u5yW4XWTvrT4Spq6gVR8JlV08p5zpYL8yjV5YF+Z6DZBoK5auWKxBiuHDU9XKzUgOm97fc4Glctz Vj2Op+1lT1aoW1WeILUMrxsMcrl5wnNI+sEo4yRmvgxD85lU0cl7zpUK8qD4G6cv/eQTN5C6auWK xVJBenG1WsjmXguhu6z8oiNukV5ukxVqVpUnSH3bbyzIhw8YPz/y2wh/k1lATiNjT2/7TJro5DXn ytpHtgVHqHlu2jrkjD69oZtq5YrFGgyWt+XpajFNepTPhg3y0CMrcYv0cpusULOqPOc7VDO8rkzf fENBdjaiUbJqDQeS5HFgQogMRPOZNNHJa86VOVehITIlGoJdStAk9OkN3VQrVyzWIGxvy9PV4rAY EWN3+MfmGbRs26uof446WaFmVXnOd6hmeM2XiOwbCbJJwLAf8377/N5ncoHt4td33tP3vxZcou23 ms+kik5ec65mSeVJ/dI6VYoIb/w26XXluRwy2vd1uE1v6KZauWKxKjx+2fa2PF0t7g44CTDJfLsp tlft8Iia2mSFtlXldb5De9v5uWqfG/qOXN/vzrASDfqaptJ71YMqjjCv8jSfSRWdvOVcaXMVkv1i 3ZhevT3tHTfVyhWLpTdPdWr+BOOysPuvxu+etpc9WeE1raqrZnjd1FsNqs+kiU6+ViiQms+kik6+ VjiQqs+kiU6+VjiQms+kik6+VjiQms+kik6+VsiDjeYzqaKTrxUOJG4+U1qOD9t/CtLXfCB9IH0g fSB9zQfSB9IH0td8IH0gb+X2/5PkPH6qmvEeAAAAAElFTkSuQmCC --nextPart8380312.T7Z3S40VBb Content-Disposition: attachment; filename="units-mkiv.png" Content-Transfer-Encoding: base64 Content-Type: image/png; name="units-mkiv.png" iVBORw0KGgoAAAANSUhEUgAAA/EAAAIWCAIAAACQlZpMAADak0lEQVR42uzWAQkAAAACoP6frh2B rjAFAACeOT0AADg9AADg9AAAgNMDAIDTAwAATg8AADg9AADg9AAA4PQAAIDTAwAATg8AADg9AAA4 PQAA4PQAAIDTAwAATg8AAE4PAAA4PQAA4PQAAOD0AACA04+9cwCSa9vC8LNt27Zt2zZi27aTUWzb rFFs286YHZ771T2VXeueTqd6elqZ/F/tenXmuPd7795vr7P22uLxYde5c0v37SuprvaEEEIIIURD cvpbd+6gehm5uf+cMuX7o0Z9pl+/d3bu/K4uXT7Zt+/vcnLGbNp0tbzcqwedFi1qv2BBndrULVu8 eCNazJnztP/8h/baNm2OXb3qCSGEEEKIBuP0v87K8lXvGf/9L0L/i4yMT/Xty7a/k/aCJk0Grl7t xcoz//c/blKn9tOxY716sO/ChS2nTvmNbfaIUzdu2B7+y8SJ6jQhhBBCiIbj9L/MzPRjt0Tr3c7d 58+/sV07a4GD1qzxYqIqFKoMhXouW2bv9qMxY9YdPhzepm/dWn+n/2CPHu5BbPs7lXVj+/8n9LA6 TQghhBCigTn97B07Avvn7NhhLfClzZuHbt/2YqX/qlX2bv+dPt17EGeKiuT0ieD23bsf793bdcvC 3bvVaQ0HIYQQQsjp/zRhAr5OKD2w/0p5eSAlhpQMOf2jS1lNTe8VKxrNnMn3EHXaY4EQQgghVPeG 6igBp99z/nyinf7uvXs3KisramtT5fSI746zZzcePXrg0iWyhuxM4nPFxaQkbThypODkySNXrhD5 9tIDOu3Q5cu887YzZ2pu3Up0p927d+9sUVHhyZOMDXgimfr2oUIIIYQQaYScHnlNWu5N3vHjL2za tN2CBZ6h2ezZZPmHtw90787RPitWhO/83IABbD/LzMpl253z+5wcP7M8/J5dlyypvXXrP9OmPbdR I3ctUW3Oz8rL+/bw4c9v3Jg9tj2nUaMfjBpFL3lRQ4JT+KNxcf/ov6ZODRziE4q7tuOiReHXltfW ji8oeIOZ+fC8xo05E8v3DF8dMiRw4TeHDfN8ous0H4Zb/Jfy6tat3ZludvW7u3T588SJDIS8NEEI IYQQQk6PLFLL0nrbqI0bPUiM0286doydzefM8QyU0STXH3W2F362f/+/T57MUWbT+kef/f//s+Hv bDJrFtsvadbMnc82e/zGMIBzjl+7xjaTdO1tUVXEnY2XtWjBPa3Tf7RXL7bx5rGbNlETBonvtXz5 i5o2ddf6t40GfiaP/tRTO3bVwYP+0SFr13L06abi0A9Hj3bX4u4cfUenTvbaDgsX8p+vaNkyUFyo 7fz5nqHl3Llc+2LTLfwozye6ToOiqir3dEY+jILWHj7MYGzKli1fHjzY3z9t61ZPCJFahBBCyOlJ Oxm9cSOFzG0s9i0dOtiC8XFxetScPa79e9q0cKd3pmsv/HS/fqTB+Icyc3PZM2D16hjSSAKzBVD2 V7Vq5Sea8zmCkLN1euLQB00EGphj6q7FwklB8aJmUmFh0OkN2HnA6S2Mhey12DyJQOwnW+kbw4bZ bwjE1APXvrdrV+v0de00vqK4E7ovXRrIxuFV5fRpgRBCCCHk9K3nzQukVZC2sfLAgTt378bT6SM0 6/TWF787cqQ9zU/ROXr1KoXzySEhz6T+Tk9bsnevO0rqvHN6AtVu2GCxYe//TZ+eEqe3BUYX791r Dy3YvTu+Tk+Kjjuhm+/0Bn5FWji9EEIIIYSc/lJpKaF6dJAsaiuI7+/efefZs3F0ejR90Z49rmHP Aae3sJDta1q3tnFxhhmf6NPnlS1b8sIe1Nvp39y+feAE4twPn/r5IfMUPjukxOl3m1nLbNtDw9at i6/T84WEQy73huV++Z+EG1CxUVpd7T6hCCGEEEKIpDt9FOpJWPrEtWvJzKe3IL420RzxNZH1ODj9 rzIzvcgg9ww8sNjfZmfj2QxIaDZO/56uXVPi9NcqKtwh5qeyx2b5x9fpmbHAoUBj+sHPMzImFhaa UkVCCCGEECJtnB7IbLECRxmWBDk9EV+m5A4ltByZVnPn2jv8IiPDgzg5PVXbvQAmp+V1bdrYVPV3 demCH9sKOe/s3DklTk9oPJLT94630zO3+HlhxX9sWSQzi1oIIYQQQqSN05O/Yb2NWaRxd/roYQKr vQO1L49dvRovp4/0iYBCN0yQta9dez8hBy1+XJze9AYpT5wQqY3csMETQgghhBBp5fQzt28PSBsJ 0ylxeuSV8jtMirU3wS9v3r6dUKcnJ8edQ/q+eVzcnJ65AXb1KPakqdObjypU8/zakCHuS4Vrb2zX zhNCCCGEEEl2euaYEvBuEcFoM3JzrbGx7lIS4vSkrTedNSuw8zfZ2eTTUxCdlBt7nzbz5yfU6UmU jzQR9sM9e8bm9LOeOlJaaArUXCwtTVun33r6dP6JE56hMhTKyc/nfz/2uUqsF0IIIYRIttNfKCnB wz4UQXx/nZVlde1bw4cnwenf2rEjydmBwLYrYVlcVUUw2NbAWXPokGeAj/Xu7U5gfVkX6UdAmepa J6dnedQHijsBe+bIxub0mLF9NEtr2Q8jyXf6KDuNyRWstGU/1LgFreyCsrcpeyqEEEIIIZLv9LTs vLzAIRZMtbnd6BrVaZLv9CevX0cl7VJTvJitgcME1uum/At8z9Szf9P9IpXE+PmT5WPr5PQ/GzfO nrZ03z52Uq2fLxv8GZvTU0XHjge+Mniwn6NPkJ4hRPKdPppOcxOmB4aV6m88c6a7kAVlvVQhhBBC CCGnR9n/OWUKud2HLl9mwf+28+eTLW2LvRAs92Ki2ezZaN/nzYpFNNappdDNAxvP8p1+xPr1XOjn hKCVbBMD3nzqFBuE6gOLy7Jz2ZPCDcPXr7eBfEScH4U682dWXl5VKMTJgcqMOC47ac6SrdTau6Hd JNbzZeNtHTvaqi9c22PZMi86WLMpUBGSG/LD/zppkh1H8Qhu6w+35u7c6XrDNdbfZZ1d/4aBJQXI FOL8FU8m6/dduZJtnmKnO7OHgZYHUXSac3pej4fmHj9+tqho34ULVMx81v0XZraDWU83WQghhBBC yOmJGfdctozFYl9ks6JNe22bNiySevrGDS9WrKRG2Xyn560C+4lnkwoS6arOixe7xJjf5eQgpgEd /9vkyYwKWEzqIY9mkOOBITM314bV+TmYNylAbo5sDNF6Iv2krGDDdtTEIr58iwjvrp+OHRsIhwfc 3f+48cCj3ZcuNbnyptlofRSdxgnMiyUnx76eXYKKl9x/8aKXfIQQQggh5PS24sqpGzcoVki0mxX+ iQoToj5TVHSPhUIfTVh9llT7Gdu2Td+6le8P/OnFCvM+uZV/n6KqKi9OsGIUvc0b0tVlNTWPRKcx CNxz/jx1Refs2ME5TPBl4eHqJ9itA00JgTiKw+8P9wUHURRCUcwMxv8SWYDdhc34vlc4HL9aAwCA L5seAADQ9AAAgKYHAAA0PQAAaHoAAEDTAwAAmh4AAND0AACg6QEAAE0PAABoegAAQNMDAICmBwAA ND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAABNDwAAaHoAAEDTAwAAmh4AADQ9AACg6QEAAE0PAABo +u4BAICmBwAATQ8AAGh6AABA0wMAgKYH5nlOl3Vdo1/7vqfLOI7xHmqt0zTlnONhOI5jGIZ0O88z etRaS7dSSnyObdt+cn2YbFmWV108s+n//tk3A1DYmiiOi0BUlUqVAuBLIImQCIEqkjZKQFRQeUr5 qEKpyotSSiKpBCAlqQAFFEVCVSrVEiqVCun79W5vuu33FrS77b1v/pU0c2bunHNmZv5z5uzPnz8+ wunpKZK6h6TC5eXl+/v7WlektrY2NDTUwcGhrq5Ox/4aGxsLDw93cXHh75carq6u/lBhcnJSVI2M jIjyy8tLPZnr/v6+oKDAy8srLi7O09OzuLjYsv1vbW1VVlaKjf5vw+vra1NT0+jo6Dfazs/PR0ZG uru7BwUFMZl9fHxYvFNTU3olN+jo7e2Njjs7OzrTbnBwsKWl5e3tzapfGRoaUm19toOEdFljY6Ng F3bK6aOiooqKiv79jbCwMIZbU1MjSth95ubm/thW4vz83GAwLCwsWKPz2dlZOudGaBtdOI9xfUND gxntNHaZtsaq6+rqKi0ttStNAwMDv7pLHh0d9fb2sr1iIg7g9fV1UbW8vMzah1QNDAxcX1/raalW V1d7eHgYjUb+X1lZYd+zbP8VFRXYc2ZmxoJ9lpSUdHd3a8K8V1dXqB8REfGNu5Cjo2NVVdXT05NS Mj4+Lji9Xg8I3KpLTu/v7483bXOzhVqx9WloiUkIl2kavPTaO6dXU/bCwkKGe3JyYiogYeZAwlxW 2hQ6Ozttue+/vLzg6IeHB3PaSU6fnp7u6uqqaU4v0N7ejolyc3NNoq0xMTG6XO++vr6JiYlCTYs/ Ad/d3RFvpmcL9unk5JSVlaUVC6+trV1cXHzjrsU8ZMGKEsHpdXxA6JXTn52dbW5uaoggiiUmITm9 Tjh9a2vr4eGheU4vBCR0zunVkJxe95yeXN6QkBCsND09LQp7enry8/N1uVTd3Nzs8PCWhINbpbOz s6pAcnoJyemlyySntxBMOL3A8/NzX19fUlKSn58fkXvSbW9vb9/p5/HxsaOjIyEhISAgID4+Hv03 NjbUAnyCNAZ8jEBOTg4hLlE1PDxs+AU2Pn41xZB40UtNTSUORO3e3l5mZiatOAz+n+h/fHzMa1pw cDACeXl5S0tLn0lxYVXzCQZTVlZGpEEpn5iYMPxGc3OzemAAvzI8SB7mIhlUKezv7/+wW0BvCCtv smQ+pKWlMdrs7OyDgwMhg3F4yKbzjIwMRZg06D8+HVKlTtGpr69XSjDF5z+ntrlS8o52RGJITf7n FzAy5QQp37Hw4uIiYgr7VOSZPOJtuq2tLSUlhdrY2Fie4PG4aLi7u6t8Gmvwu0ZmHTQ0OjqaJvzY 8TOcfnt7m9nFpCX8DGE1CaPe3NyQBIydCeImJyczMCFgAszLMMhD42VZzAGj8T/q7gDytyLYA7gI RFWpVCkAJJBESIRAFUmiBEQFFUpBCaUqopSSSKoXgJSkAhRQFAkqQjyAEADvwzDG2f5zx7nnXe7B de757dmzOzvzne/Ozu7/f2XjpGyj5DvvvBNPPv3001W2UhTuu+8+8mdKEuLXHZz2t7Aa7dFNiTGy wDfBYJ0iBBpOqWyB2M3pXd999x0pXX311azVf4Wur7zySoo9MdJBx0+8mO1DDz2kWr2gjc8999xv v/2WWe/ygign1bruuuuoGWXbrw9F/gbuiiuuiNcDFuYoRCaKEbWEb+mItfLVxAL93Kdhvvfee9TP V/SaztQX//zzT8lOuqBmEPf8889HqFs93j3nnHOyzY899liGwx955BG7ArSZ0lpvsbs0K5wrmwSJ p59+GpjDKCsY6gcOE2Bcrzou85GKMjqYNvXGG29UTj+HuB78hxh4rFh6CE1Ov+jGfncmi/3DDz/U NbpE1HaMfPbZZxx3fC4aQD0aSOzQuJfPovNzK4gl4ldffVWbtYpbD7HEi6+//npPEKUIqlCXKZhc Z+vME0Q9ycSYjJu8/vjjjyj87LPP2ipQ86lSAycj1ReY2+xmTfWTTz7xlrFQLVKknmYnw8Qk6faG BhjceKKY/67DCvY5UGPxxBNPSJ8zlJHCbawFJe0IP3DIahfEpISb1abYOis7Fip/+eUXnohy6qlK aMVZz+mNE41BaAwwpdElPb/mmmsI4qR6br/9dqDw+++/K2+zHYESfU3bFTYjbsNpCN9//33TZcJK l48FCt74yi233PLWW2+9++671157rRApS7jpppv8l+O33U2T6hEWX375pTKQCGW0FQnt0Jc333yz 6S9N9em3337bMQs8tyClpFuqE8uIRl0zLr300q+//tqTn3/+2d6DW2+9VXICzf7hhx9eeukln6Bh nrgsaPTVJpd65ZVXvBi12Zioj5dffvl55533999/R5nPP/8cBCijZFS+SjuASbEa8tHUhx9+2JOv vvpq/jld8wmdTfM4qXc41rnnnivfmlGxYXtfuGR1niThF154gShgtIEmNNitToASvzIMikQyEIqp +5ZWJVBqnu9CB8PKRZEqf3///ferAYKcktPTn5tvvplAfv31V+96YhdjzQCWOE6dYDQtAmfnn3/+ vffe+58VUlQt4ZuJyE1cBvf7778PKSUI/vjjj2a/kaq+ka328IIU0taFG2+8UZlKInnf2267zbh8 8803ZKUeyAisfTrB1JOLLroI6FBO/wK+q6666nQiHwSuGY8//rj7u+++W8uHRjrpeL3WaiE1FWKz F154IayIXzE5guKr/PTPP/8geZwub7pbH6r8vRgDB5fmKAS7NO/FF18k8Ouvv54/3tSfJpbSUJuv hGwfeOABN+Y5XB3D4aUqPTJ8dNJUjf6LegA0NNFPMFMNLCvbrLXxluE2z0e2vMJStI2nDF81V7a/ /vorkpF4ZX5XPZiBMuqZIFhe67jMRyrLpE3ZoF85/RDievCfY+DhYmkcBD0J3SCcjz76iMmoNnRj tzvzLaYEnykGjXr00UeVpyfREl1uIHGCxr18qs4bqbkVuPzKzE1otUrbBAEhm7dIRmMaTq8xAPzj jz+Gh+YzABzr+vfffweI+t8m5jCxgCBQ7wmxR+jH6KB0GXfgLIy7L/ppMFJdgbnNrpOr8KTaHECK EbGUteTcJAUUQiZoQI64JwRrUFKqgBFMxbA6V8MwRQadDoJTNB1UBpME4AcOGbfu0zfccEN0wdxe Pffcc4+xWLp7GFT+9NNPzlSA/JrkFaFqE/WzntMHDyO+att14NcTVDYLjsbGnCzujd9ll11GuEBh k1UJevKJYWPn2RLSVwBmhRW5jIEnGSYEssi3AIMZSFZCP9RDFU6auaqBdtblBZyJPeeT1157TRnT dPcQx9RC7/ql1Um1UE8ZYVFsMmeNnuDKw9ybphh3lQ5v/rmQuTHteyesiAnVJ6awrHptWCyqGEQO uD7EipLTC8NYD6m8lqDMmGt5TdIMs7gMR4FX7OeUnN5JGnU1CWf1MNeLROkgdd2CzFwVgNeT3JtG SpR2pbZe9ND+1AzQ+q8gQRZ4+eWXPamzI+7ZExCZWXD+Ky7iPhmwJ6fD6TkGnoAcOFRwxiTnRjrs eFxNtUwsOb3FqM3r4nbG2qDv0IdGt+co5InQZlLDZ555Zq08TSylkbyNdeQT0SlPclECxdlYLheo DX1iALddlRYPTq2YKxupqrxuKhCxDnI2RLD10lTfnVhu/1Zy+jnE9eA/x8DDxdLn3tx1112b2TXd 2O3OeNiqLRQbNxK5mEDiEI17+dT1h7kV2LDuv75S2Sem5WG/1zaOH/niiy+q+XgiijRA1M7EPOHj slM0xDzEizqbEQ3keDhSfYG5za5nGYucsqkNT2sWjnqTbGTCR+D0qwKbIdeNl0YtPbvOUj9SOnzI oguCLDnF4srz18OhEt3fSBWbP+s5vakSZga/6kNuWMn/PBwDamD83jKtWX+1IFgjtZme4SHyV2Vt /T3/K7SmQB087j8nu1ntk08+6b7ypBzF9TKnrLOCpHp1CCk9HdIdigi7zYZ7yB5WGw5GySwghBOT h+M5/exzQ05vcuwh+js55NsXqw2nG0CS1h26MNQVK4krDNXl2jvuuMMT8/ie01tiXhVPk7IAxFkm Y+ldjuf0LKI+MfsXM6tW5i1IXcuIk0HGTJ1XQMSiLr9yNqeZofjBBx+oFo4LSMyNdN7xdQgkQmxC AJVJpN3xhfQh9I2bn+vDhNPPUcga8VrbnNP7UD7BmTyJRT+XnQxBd8QpdiT7Cs6RD+lFm+fKFspv CrepEE6icUMEm3D6ZqSO4vRz8O8x8HixDDi9nq66sdudCSWCC81jOzsgsUHjoXwqp59bgeDuGkmR hzbh9PpbO0vTvEXzJ4jamJjF5zo60pkoSUU2C5tWRYYj1RcY2mx/iVAYLCiqToucTcmJSc45fcXt Bx980JO6riKJ65JLLjl8yLTtJOZ5OFRG6vxm0i5d5ezm9MzbExPNtWRa5nqZRZkGBATgfzUtL5b8 aup5sgGirLJGoTaQxP4rNUy4zGrVoExetMrDSEVdL6vqfrV2U18BYR46tLuqXSRSW6LqIXtebTgY virfErcIknE8p599bsjpLdHoS6yZMGNYHOGHRsLN3zfAZuCjBV9xEcDhQlJleG9gyMMKBKbRERzq OP1iveKvHvIW7r/99lv3QhR1jKJaadzHc/pFn12UysS4Wlmsz9YLvnhuksxruvHfzdeJ7vR3HTnX MlLj5kY673hf7bpvR46vybyAIn9AH9x4Rbhlrg8TTj9HIRG10+H0pJRPBPw8MXPIQbdm5Yn4Fmro 13BmPeGwiAxbALIV5zCZWASfK1sof6aZ7QbGntP3I3UUpx+Cf4+Bh4ulh9BeN3a7M75YJoMCbBmo 6u8cEns0Hsqncvp5TyMOan61zQkccHrCX82cp7ZGcUpEbUxM5pKOG+iQCVtDCqXJxfSePkvahEiT kZoU6G22/8MO8kYMOl9ssC644AJ1yiFcS85Nsuf0zbD6szCeIMF1QV6nDh+ytQt5HQ6VsYhk2lML nPX59HKmPSGO/ywp7bs5mvepp54CEIoZswyH2GHjCVBevalMqdUHV0iiNyunr9XKDvyf5TqJFsvr 8oqwwfqKYaslndoeB//RpB6yh9VWBnA4p7d2kQ5v/rkhp49ESWkDQj6xIslKhakaCdOEk07PxEf5 D6sfTDrXf3iRnitMOP3q/MShPYwDDW3McC9rcx0jga7T5PS21AS1bWSb2FGtDChrwHrpqUjMf5qh bT2nz+m1LTn90EjnHV+rtR/mpAIyu4J45SoQFU1Ov1sfqvx3odB+Tu/5ymY2G7lkI4Q/5p6dcN84 V3IQteIac56s1+Go5soWyi+V1v1+YJxx+nhyOKdPiBuDf4+Bx4ulh9BeN/a5syCjpsQU2LuxrE3U E0js0Xgon9qveU9tYVxTA3R8wunX+EvYkdDAKRG1XwqT1iKaYKlQa6WM5wI1mmiRORZ4hyPVFxja 7HqJx8cqX5JdIu05/dAkV5kIr+D0/UAHp6dmK6c/dsiyC+t1OFSyBa/gurWA3LOzPvfGREfQndDr QxNEJSO7pt+Mb+uJPfKZlio25n5zfIT9B6Gguzl9VOsMjXlnhRy8IoenLyZ5TtoDNFQYYvaQPaz2 QE5vSWQzY7bP7/+V09cVDHGdOJynkbB6GoeX23qO5fRrSIlPytQadu5esOT0z7KkHpv4n6zrOaev Vmbq2yx6yG1dzVAM43hOPzDSecfXavOV9SQHLREPyyfHc/p5B88Up89JnakOGmFAzWdW51oxITYN 73ZUofyUeT8wnkFO30NcB/5zyD1eLPs5/bxHzaUvMFkNtmNOIHGCximfYzm9fcb+axFgs+dqwuk3 6QMMx1vyNIaI2nB6Jha5JRJvELvMuBB0l9sdiTf9SA0L7Ob0sVMz/tr3sZzesmEdZQIkxv2c/ugh azj94VBpCucVC3Sb5OGzntP7E4kbq3MkhTmQ1IW6w6xi5SYp2QZnNfg3diEYto2YOFcFbFrazeml 97DPzUK55GMUwQKK+/WyszNSwzcrmF7xYv4pb4QefaFnwrrU3Xc3GdhcTuS0xWbtvto5yY6UO592 L3usbt1zbSCSI9xY+25O3/fOKxt5UgNX87dpdaQ+NA2IfWb2Zm0OXnBxIUdxejy1ntTm2MqEPFNN w2rJclMJ0dktelK14l4UIGO6ZJiSrJoJTXZw+ghNbf5iC0+Q8yUbkhRI4aeX3XB6+Ru2vpwWpx8Y 6bzja7XEuEnq1QVzFSYmC8jKw+ZMjAM5/byDZ4DTi7RtTENEUIHc1yho6sCx3CtmCm0zWZwHUsNR c0eVcRZCpvwyCmpOnYwCMZohMJ4xTt9D3BD8eww8XCw9hPa6sdudYZ/i9Ju/7EujJpDYo/FEPrs5 vUOE/NcBADUBz1bmCaffIIOsgbCFCaKeZGJ5eIBVaFlJWKb2xJ5jRiT3mkCCSQ9Hqi+wm9Mbbr2r +5WN4yGc3nfJdjMv3c/pjx6yIac/BCoZi6NOhVp41TpJO+s5PXS4+OKLHQGWASRuW8iwLhNv5jH8 pXlt3SvJQnIs7RfxFUGCxAVnUMi8Zzy7OX0cQlz3baAIFrXt8lkPHc8Cstx8OldnYKKTlayy1dgM RE7rFSvFBU1pcod+bsrWHfMc3+qrnZNs+S25ecj63UncwmDF+qnGcBtWpaUjnyanb3rHUHEyI5Uy ofHhOdZLMQvWrAL01JOhom2op2QSqpUQKVTpi0dxesaZp+ryOryRoyFShzkVOmxQgHXGZiz8WUbv M0PCf+tXyJNMfMhwU0j9BdPGYgenZwWk4V3TyNzDpz1JbuzNN6MwsVQgpGcsFKicXsd1kx9yGsB+ Tj8w0nnH12qJHRNK32Y1VmJeLnlXPkdbaN2BnH7ewTPA6R34w68njUCVnPGHNqVCUtfYngVwDL2q zPBJD7zobCCYzOO5o6qZuOoxh8mhtDdGtXNgPGOcvoe4Ifj3GHi4WHoI7XVjtzuTNGxSXafKEUeb QGKPxhP57Ob08luEhGR3kGrMHDg77Zxweq11dlCoEySh4XTJ8XRDRF1NrLYTj6yTotwknQdxzkeq KbCb01srCNUKuKCKNkkfwulxnjjn0PxT3qxscjmB+zn9oUM25/RHQaU5ZzB4gxXHffr17OD0LC02 K2iuaFlacmbKynuTHG+8petxRRS0ATLDierJbVCeqnFUdWM7LRQNNVTCLZbeIItiyUKoi5ZEFr4b 0OP8uHhivusGCjidVCM9MVXwJAMJgigoI6HH3wiQ8x1HTzYHQqkKGpqx0F3DyUhi6UeD46P+Ra89 wXtCPow/98s6e05PfY5M4jTWvlqXVmXj/RS5ep5kByMQwnuBG1EQJ45ZnFozWOofAPJiSMyiipOq opHY0vBzulNlbvZ8Uu9s1TeaWmXgbDAwdowkZ7HrxTihhmJ6ISKC31fQka3heFDBEhFTWMlO/Bsy d6AVs0yddCP7GQGqT9I/1evOO++MvqgNb9NlfldPJUFu+LoDUqm07uiLXxWTHtbvuYE4WihGwhmA 0VzCBlW+CERwfZ1K2VpgWfXZjrp4orwbbDjj7qATIydYcR0yz6XDjGqgFDScYuiXeswwVRLCCUw0 7uSZ2NpfRjZaEvKkPEMjnXR88621WipBH2hj+jbth8KR1A7ZKQznF4ikbfv0YaPbBm4HCvEHjRi1 tsIRc2D77qPlceKbIYsnBggwxmo+oWkACw0Tk9BY4ylMQGHzHIacOZ2sW+WUhBJ67m8CZCOp91zZ nLrDiqm9mmkRURPmBBjXC1TWUcBgJiO1vqUqo6DLISUfHUJcA/5zyD1cLCdB6EQ3drgzpIoxqooa q8S911WSnL6BxAka9/IBhoplvyj2vKd4kufaE7BmG14chhMAu14mw3HUtXAG1+wVL/qWm5zm9Yja m1hc/qaKNki8qfLJVZe4hiPVFxja7Bovs9ytAP9lPcGIREIa8RqXtfwcPJ0xSLDxdfgsQYDXcx9E aB1WfMxPYZ5usDUcvdZsqnnIkNUuZByquY6CSiF/PdVUoQTTEsnkiRunTD7/P2LOGIdBGIaiN+TO MAUkUCYWJI7QlbVPHayKusbVJ+ofK0hsx/62Uer2Nb2Gfd/7vkcN0mFmvhJHSyW6bRs5271COk0T D7xPzNVxHAfL0kEaF18C7qCYm+f510sLFgO8TojeuKw19HRT6MJXhEsViD2bLxRD146KrZRCD02r nZyDziK1Vk7nk5vwE90NgtE6LP5t9g5sSxU1DANBnvkrPU0/3rUsC2KfvB1rEBqZRWJwiMiDTdzh jPxYXmBH93UUscsbKoIgFRS3ZcdxdP0HnsECOJ4uv65ga9BF4E4ELzHlei+ZjK9lJyfE5vgAwitb Q+PQC7qztU6MOnSKi8n/X2YxCm2dzsgX7IXkcNrJN6ymjykxZuPYPiKQ2fbtuo66yiVAl4KIBcgE 4fOMGoeYflL5BxRgLoKi1uqUZAJwpHVdsarlawHykQm4iyofT/bu2EZCGAigaBPk1uTUhKgCMuiD vqgAkRKT4LuTnHAB6cpo3ysBEXwNeHwcfy/n83P+SNMDANybvjbTNN2HVtd1RURZP/VtQNMDAI+f Scvayr7vt20rw9F6pJSGYSgT0JzzPM//7vYCTQ8A0HVdulnXtbY5fUSUs4lN07RtW07fgaYHAHiT 8zz3fS8/4YCmBwAAND0AAKDpAQAATQ8AAJoeAADQ9AAAgKYHAAA0PQAA1EzTL8syjmPO+eeNAABA 00fELzt3ANHcGsdx/NlpZ1MJznCSQGRWTIVSAKkmwSgXsxEEAgIUUAxKASkANTEKgSBpLEiQqhQM EWmsljpVzv27D+dmd+/73m6vS3w/eD37vY8M8JXTMQzj9vbWW+bm5pLJpAsAAADQ9N/C6enp/v7+ x6W/vz8YDLoAAAAATf8Nfb7pAQAAAJr+7u5uaWkpFotFIpG2trZ4PO794ryqzc3NP/6STqf1sre3 p5eZmRm93N/f60VcXl6urKx0dnaGw+FUKnVzc1P1jizyr5xt2zYMw/sv7351AAAAAE2fzWZN01xf X39+fi6VSouLiz6fb3V11f2Bi4uLra0tye6hoSG9FAoFWRoaGnp6evTiOI4syWRSKZVIJOSQyWSm p6f9fn9HR8c/7xwcHMhSLBZliUaj8n3koJXLZX3/5eXl/f3dBQAAAGj6Cru7u/LmmY/L8PCwbds/ fxdNTU2NbnpPKBTSTe9Jp9NKqXg87i2pVEqWs7OzijvS9D9/9qZQKFiW1dra6jiOCwAAAND0VUnE l8vlh4eHyclJpdT19fVvafqNjQ1vmZ+fl2VnZ+ezTX94eCjXamtrS6WSqwEAAAA0vfdMy8LCQiQS kWK2LEvSXA5KKf2M+9ebPpfLecvy8rIs29vbn216kc/nT05OKlcAAACApp+YmFBKzc7OPj096WVq auo/NL1lWVWbXnr9601fHQAAAEDTv729SUA3NTV5y79setM0Jb69j6+vr4Zh0PT/NwAAAND00uKB QKClpeXjmEgkftn0tm2Hw2HvYy6XU0r9lqaPxWKmaerz8fGx9we1xWLx8fHRBQAAAGj6CoODg0qp bDarPx4dHdXV1f2y6UdHR+XO2tqa4zjn5+cjIyPyLsuvN733LJAUvJy7u7vlgn51vXyr5uZm7wEh AAAAgKb/+zWRvb29Sqmurq6+vr6BgQH9xslAIDA+Pu7+wNXVVXt7u1zz+XyNjY35fD4UCsk5GAxm Mhm5UF9f7/f79c8ZGxuTJRqN6sU0/xSrnZ3dmzdvgIrhaoDNd4jJFy5cABplYGDg6OiopqYGVAYU vHTpEnBtDx8fH4Cde8CRGAAAKHr/Y6294doc2zbDMd9LY9TtLwe/qwcAAE0/5v39/fDwsFXqU723 c39/f35+vvB755lM5vLy8vb2tlwuN/oeHx9/f38bAACg6QEAAE0PAABoegAAQNMDAICmBwAANrfp AQAATQ8AAGh6AABA0wMAgKYHAAA0PQAAoOkBAABNDwAAmh4AAND0AACApgcAAE0PAABoegAAQNMD AACaHgAAND0AAKDpAQAATQ8AAGh6AADQ9AAAgKYHAAA0PQAAoOkBAEDTAwAAmh4AAND0AACApgdK uVLoJVRIFRpzK2aL0c9oNpZtrFY6nG7NQrVcnXlmW5P9cvTSHb5uvhpsicRfIvIWWfF2vtVaiysV SNXr9Qag6YHlabL3F1B23Nge8PsuMzO+y8zMjO8yM0M4E4eZyWFmZmawY4c8cezYieMkjh37hh0H JhPmZHLX+62lb+2vruqcHp3uPj3t8f6vWr1Oq1QqwZb0195bKnPtdXtft+DIBTP2xgeuf+C//z// fefJdw7Lz1uvvIUPTZzIc2ueO/inD5aO67p9rovwh+c/fPXuV5/4xyce+nOH+nv9ftdLrfsgAn35 DpdX18prV45UhAs2u8B7MbZJF/bKXa4UXq69vnevjUVaEkf95lHbfNE2o8v57MU7r78z1oXH5p+1 uXr4yJd95Pp9rx9jMRKJRHL6RCJx8TYXm3TXP7B+Zl730E0Pbfl5W3709I8OvPvGi2/IzNn/cvbE iZz85yeLdssRtzyx7InXX3g9wvHjzT5zs92/Y/e5vzh3z+/aU5w5XzXn6fufjghLz18qcIvP2UIe 4rpixyumk9M3FNaiRUldMpmcfuPn9O1NP+uw7w/uu9v/d7fxpb/hoQ2rF6w+6KcO0mU2rNowrtck Eonk9IlE4qWnXtr8szc//e9Onw2ZaeT0WPsu37LLACJ140NSiH+XXrBUaof+/KEVp7/v8vuqB8fA 6ZuA0H9acvrk9IFNmdNX/U5/HOM7EolEcvpEInHWP5/FRD6Bo/Dza59/ef3L3ZAXH3+xG5+D+LMP P+uHaObvJecuefXZV+tEHnme0q5cb738VnX3Y49+TDj/cnP/iX9yYsR88+MD3OV3/Pod9//R/VuK RhG+2Wds9uEHH46V07/2/GuyymLQWNhGTs8T6bElj9115l1LzluiCQZE+PB/196+ljJ41bxVyigb clX5Lj+7+lmNVbYBLL9kuaTkrWqXFVetWHTaIn/Vdr+V/b3rjLuKJefxpY9r3JefJgytUC0q4f13 3icbd59z9z0X3sPBemBhWV0Wn7VY+i+sU7c1pBCVzPlKUssvXa5Q7TmJdNYsXKNExODjT3y8Tc5r Ts/4IwU19u4b77bLeWM2Wurz7Vff1pSczYR4XL3JUnuVaoKSQx1k52/cOTJshV8lYr9KEQ+WB3mO 8HYBg1U3r9Jl7jxlnJ5IiUQiOX0ikUDHEd8LNr9gWAReBMf+7rGVem+P79wj/nVXHDSLyr+4iaM+ jy5+9P8Q8a/bsdwa6Gd80E8eJLx/LTx6YT8/kmrh9B9+4kMx+fKOVU//xD1PbPcV2+3/I/sjW42F beH0GBILQ7cqzv2PcxH3rif0Eb96RNwV2RYCPyripfiiIVtbff5WJaa25g7hlm2+u33bbt1XiNPd XOHBXb91Vym4pWU5KXnW7x2+ZoeyZmvBNXtc45Fr97qWhPw/b/mCrTD7atPwwT9zsFuRQy5hVizd ODhr2T5x6XaXihBJBatuwYorV3SbRjo2VDTKeXD6K3a6IlKwvHzy3ifb5LwhGw1QAx7Z94f2LZVw 8dYXb/ul2/ptWY7iN1ap1w3sbpbT3XcRBjUcdwnD0yvKyqFJwGpOrzYSiURy+kQiMVagg6Zkit5J c3qO7Ht9z15Uj7xfFp+92Lw+9xfmdh+h3KVQpHUeOLvjiO5iDO6e8hen+F2ugRv45nzlnAN/4sCJ 2TzOfeY/nCk1O2UrTi+fUtj+q7c/+reO5q4zFU6/7s51237JtsgTjWxLYds5/bG/d2yhwhqFEeOk Pz3JvzceeGNEOO8/zyuUTtXRJaObmmAgp9/zu/fc7su3u2H/Gyw/XH5oJrc+ePeDI37tCNpuj3uK wvXo3z5aChZjwelReUpxe4uFb/PF24ipyH7fcdIdI3F6exgWnbrIlmWJ85va8nO3DM2x84vkEFem DKYVfuWZVy7a8iKPLDxmYZ/TW8vt9A070T2zG7BRnPNv57Rv8Vxz6xpV5F0Yp/JqMksLS9mROD3B 3uFrd1CBNOXLLlqm11gXqcmGpm/IRjOnZ5zxILcZv++97F6dTq5O++vTGqvUs6V/6Qs7f9PO0d26 61Lt5RF95JkHn7Fwklsxd/nmXSTeKGCB1besltRtx9/mdyKRSE6fSCTGCD4eJt2rdr1q0pze4yuv WRkhR/76kRSHH7z3Qft5II3+9OiIOCjvsAiF6Lioz3kCVH69qI8FzLn/fi46i5/1TQHtnJ7HCy3m 4b9yOJV5y+En7Zye90KhUxHy/tvvo03WIUXVihyjxVqh602Bfw/k9AKR4Jai4dkiX/qRS4PT43zl t3pjCgh5uGz7y0bi9Mh3hNx3xX1CYmsyolkRPmWs/LyD0ytjLAZGhaUXMs3DpPJfGonTywO+HiFK EZafhqZvyEYbpy92EiTe77KiOOZ3jrHQbarSBn96PVeLU8x3Gbzln2St2EcVMG0XcpVIJJLTJxKJ 8QKBY8SnfZw0p+9qTM//r/OFIJrTyOkpkh+84cGiwMbOhxUER8cj7fqlQ5XJ9SvXxy1UuOu+Qmcs DnLMi3pUTj//8Pke5HKDbQucXk6PNVacLAgcrbnflKb9NRiyOJDTWwwwXAzLAyUuki2TXnfrsbdK wYtCJJwZGjsTjvv948pvSwtWgpE4vVd0XcmFhBkHGbW4qr4zQG8tDhtFxQtP+KMTJifetgp43AJs 4N12Tl/lau0da4VcNueyhqZvyEYzpy/nvWoFq8oSfspfnqKNWqq0hdM/dvdjfRbuWYHSaRSwakXB zkPA2Hny2P5EIjl9IpEYI2idTdg3H3LzpP3puxEu2uoiqeHK08Xpg1G5Ltn2kkatMx8b3gJBc/ug b5YgN4NROb3LEohLiW2I087pbzr4Jg/yuu4GIo4CH7ntEb95a/h923H/h/QP86c/4McPGPh2yxtL L+Sv2DR4Vrj85ucTnP6Qnz0ksnr8HxwfLuPn/Os5I3F6HLEb6HUOL4qURWDVcVFgy0+4y1vFVZw+ 2HMjqsfZZ6bI6WWyuwvZtlrJWkA2NH1DNto4fbQyUYxzeE77m9N4AbVUaQunX3bxMpE9W1JwRQqW fI0CVm3aCQMapykhiUQiOX0ikRgXzM3oWpDCCbjOPt+/z8xzenpHrr1n/uOZ7f7cFI0ih3dvH/b1 Frf1UTn9hVtcyLkcodn923dn3JheTm9lVfyk+18SoBgOLwi2gm4E2tlhe2QHvn3BUQvER+tVexyc HxslJ+b02mgkTr9u0bpuoE0IoVQmS1ZH9199f//i1NTfIzs52eZ/7/Gz/ums/q12OS+bFuiku1RV smSysekjG+Pg9EhzS5W2cPoiYOf/9/n9FCxiGwSsXj1abzDveNzm3XDJSyQSyekTicRY4PCKgXSZ 0bzyFmBtHwenL54JztacIJO261EZ2s3ZUqLyxVZKx2ER5s2dVz5fNQl/+lBnnvpXp06O09vxaUnQ D3eSd5+yo9oC7Zf1+8nlT/otJ90ItiqOxOnVIc+NrjMSP6UxcfruQTdcL4RErrjT+HfYnoTp4vTS p3L28aMqvF3Ow1LUPfDRUTNCrt7t6samj2yMj9O3Vyk4P4fTfD+87IpuOI2nidM7GkhqOqPfiUQi OX0ikRg7uL3SnnKKoImsyKINc0H+6FzN0OPg9BR4GI/dqxPnk8Kvb+63mc/hjNXnWm3x7H4lV0g3 Alf4woNxjslxeuCFUp293c7peblwyu+fYu7sFPrgLvNjo8C/0a/i+KGBHP/Cs8gOgRLh0bse9a6R OP0Jf3iCVuvGp7MfE6c/+c9OrnYLBDu357I60icaa7o4faxhwtBRvaVFzoPTO+GxOn3IuS5NTd+Q jalz+vYqhcN+6TBbSuyy7Q8FVpsOLSVg1Zn3ek2jgFUrn9tPuN3vmUAikUhOn0gkeJZXWlUoB+Eh r1gOFTLSzx96JE5PAYzluK7b+zrhEiz/+oZRlQGKUmp4R4BTgTtOBHVuPJ+eky4KwtXe+X1M/Hbj 7fMD+1S7KvnWO+Ud/y4R8NRwhp40p2c3wAURI35BoxbWSUHlaHluMLaoxmeDYqngOE4beVEie1Wr lYPPFZVzytlVPK5OULqROD13fPHtrbSkcfCRJvP5oTFxeuJx5c5XMi84iYhbiCv2T+PQc39xrjUM 5yKNuGHVBq2DoR7+y4dPL6e3tNv6C7e2IES1HTuj1PYtnPH3ZzTKefjecBzSEB6/8YAbyapPK2DA TU3fkI2pc/r2KoWST2tL7aK7dbc92I9eDqhVFcpFQhi1rPkdNj8ap8/z6WceiURy+kQiQWNHAew4 l+q8i/1+eL/YGIptj7pHFgX0b/9CktytvtxJf8znYYJvTvnQT5XD8m1RxJeav/sFJdmgm6wWDBEB tbJ4YByYCqcHtIy6nROzd41UWMDI8STkqXK2QdqQS+GR1XmHzquevf3E28uni+Z81Ry/uQD5jc81 Ui5MVFmiQjQoj4sxcXo6Wiuu8iI7cR1+UnmkWGvZcBx1ZfWF6U4vpwe+4GV1VC7snNK9Uc7jm1PW vfH9LKnFV3Ubmr4hG1Pj9O1VGqYqO0N0eZIWTR/w9QacPlJwkKiC2BY8Kqf3Ddr8juxMI5FITp9I JOYfNt8ETEtX8T8fhKLGi/OqP4WgF6dRHuY2TSuJMuLZ+MpAl33skOeDCIUYzWbILaca3/HplyUQ btO0sPTK7YnHB2uZAhgZilfP9CI4vTq3XKTrVe1WHcN2SiipzNhGOabMhGvT/3z0f+ieq1ptl3Pu UlJwhswYsjEFjKdKLV91KOaFkLRR4fR6MuATXTPXcxKJRHL6RCJh5nYG/DV7XjNrc8gjpXy0iFeD w2c2zWZiXuiyNMfMUx7HMZSzB8HpN8E2SviQgk9J7P19ezMHle3diUQiOX0ikUj8v/wVeeWfE84Y myCoeDl8O0vEllOOzs4KxOnpmJPTzx4kyhn5OL1dLoNjJBKJ5PSJRCLh+Jdw5NjUwJvCwoaTNFd+ Ps0+8hoHh88qOCeUn7dz3DfNZsr9OcN8fhKJRHL6RCKRSCQSiUQikZw+kUgkEolEIpFIJKdPJBKJ RCKRSCSS0ycSiUQikUgkEonk9IlEIpFIJBKJRCI5fSKRSCQSiUQikUhOn0gkEolEIpFIJKdPJBKJ RCKRSCQSyekTL69/+eNPfHwqKbzwPy+U66WnXsr6/JR/VMi3Qsv11H1PDYv2+sdej1Z77633Znmh 5FA+33ntnakn9e6b76qiN196c4aL8O4b7zYWIQrb0rKzH4lXNrzy4mMvjibnmzZU12vPvZafnRqM RCI5vdHhur2vW3DkgpnJ7ife/8Rbr7z1wXsfbBSVe9BPHrTj1+047O77b7+vLP/74dDh1Sc5fcW9 XHt85x6f2rIkfPY/mmOv791rWLQLNrsgoq26edVs7k3wwPUPyOedJ985LD9E9JOuTJ5b89zBP31w KfJ1+1wX4Q/Pf/jq3a8+8Y9PPPTnDvX3+v2ul1r3QQT68h0ur66V164cqQjLLl7mvR89/aPthW1p 2dmPxFG/edQ2X7TNaHI+u/HO6++MdeGx+Wdtrh585/j6fa8fcDuRSKSe/uJtLjZMrH9g/Qxk977L 7/OuxWcv3igqd+4vzPUZ9mF3L9rqImWhyJ+Y0x/7e8dueGjDC+teSGH9lKu033jxDdee37XnBMyP 7lB74a/B6Wdtb4KHbnpoy8/bchghVliZOftfzp44kZP//GTRbjnilieWPfH6C69HuFra7DM32/07 dp/7i3NVmjhzvmrO0/c/HRGWnr9U4Bafs4U8xHXFjleMidNHYdtbNrHxc/q66Wcz9v3BfWPKGAcM TasXrD7opw7SZTas2lDfTiQSyem5hWz+2Zuf/nenJ6dvRzunP+1vTptV2U6gfZ+U+WEPwelnVW9q Rzunx9p3+ZZdBhCpGx+SQvy79IKlUjv05w+tOL1OXT85Hk7f3rKJTzNOH9iUOX3V7/RHvxOJRHL6 Gmf981mMep/UtfHpFU8vu2gZRk5VwPu2H4Ez7oqrViw6bRG1yvvvvB/hHFQoGFwLjlpgMLrxwBv9 LldE84MPQNed98NPfCiE+2CEvPj4i8+ufrbk5K4z7lp5zcrKr8DjHpFU1xgqhD00HGa8FFORuFLI 6pqFayr3xLdefiuy9/wjz/etq+UW3qYs/BPKvzI2KqcX4ZHbHlGf91x4z2NLHpOlSiWDIKq61bes xnjW3rHW774PtBTuPuduFyVrFKRul4+/qa4U9sEbHuQ+MdBN0wyhSh+7+7FJEEdZVbEco1dcuUJW n3nwmX40jYIiLzp10b2X3ctnfWAmpVPkimP0XWfeJbcfvPuBfymP3Xr71beXnLdEhQuxlFp81uLQ GYfAPHHPEziiPKg0b5x5Tt/Sm55f+7ytGt0Qgi1+10H82Yef9UM08/eSc5e8+uyrVSIkM6SUxFZ3 P/box4SrRqU48U9OjJgquZ+fHb9+x/1/dP+WolGEb/YZm5HbsXJ6giSr6qSxsI0tq3foZeSKFGmC fgT9a+3ta+Vk1bxVyvja86/x4a76lG5eMkaGl1+yXFLyVrVLGQP9Vdv9VvZXRyuWnMeXPq5xX36a MDQh+gLZJht6vaGjO0K2d2opSEdqxflKUssvXR4dsx3SMYR6CzHQKxvlvOL0OrIU1Jimb5Dzhmw0 o2VsCfkxxrqlySq7qyYoOdRBdv7GnSPDBvDGKbJdwMC4pMvcecogT6REIpGcHoEwVV+w+QUT7J87 8tePLB6rYvrLEtqddIEb8VZfsFU4tu76rbti3jFJCxl4xdBpuvXvzYfcXGkZz/2PcyOEDwBXQsb9 eHyXb96lyyA9LlBSlWUA+ei+5apdrwoHYtfJf3ZytyC8NuMWf/qBnp39S8ZG4vQsp7t/++5Rny7z Qe2387vHHv7Lh8crDvulw7rOmrcdf5tW6ObBBgD8oJqHeEh3o2kjddKdC+lxIw+uI371iPaNklHn d5x0xw5fu0NIyMKjF3bj4C47f9PO3Tz0XWM94hZv7CN+7YiIqfhuKYLf+/7QviWfF2998bZfuq3f qHOZhgGb3+4rtuvWxk7fsJNpfqY5fUNv0hxatlLvdXdcuCsOmkXlX8qC+jy6+NHuIyQzStqvTJIw UEqrdomkWji9JZOY5HysenpU5oAfO2C7L99OV20sbEvLSpaFIRIpA4te1l2rk/y4K7ItBH5UxEvx RUO2tvr8rULaaQfKZqHdvm237ivE6W6u8KBRUQpuaVnjWJHnHb5mh7Jma8E1e1zjkWv3upaERG/C 7N1q79SFRpftE5dud2nElFSw6hZYw3ebRjo2VDTKeXD6K3a6IlKwvHzy3icb5LwhGy1oGFtimX3w zxzcfQUvu1CyeN3A7mY53TJFNgpYxekH10YikUhODyYwgwjV1AQTCUJAL26HKw3ElTtfaZiLCPSv Ihz9W0dj2GYFYxAOh3BbDBRmSfnhwvxEm3/4fL/LJbWROL0BzvBNOU2zglJs+blb7vU9e5mb2zl9 YUiXfuRS9JcmSZpCqHW7s3vJ234/vF+f01NIl7vUsR6kCi3/UsmMxOm9d9sv2VZFieaN6xatk6Xq WYXFLWjRKJPKzHfOv50TcVSjVqA6UhUmbGXk2Xz0bx/dn7GO+/3jNBnOQW1208E33X7C7RGhWBsu m3OZ2qAG044SOelPTyp3MWyNPvCyoujW+ZyvnIOWyee6O9epNLIUyw/ZE6LOsTe/kW/ES9EUuc/p kUtz5wPXPWDN4+0mziiF9OWQadtvyn7iYRVx2l+fVh4nEmf+w5lIPHpESpk1ECzUkASOn9O39qZ2 Ts+RnWArjmKy5Kguuzu6j2gvUkfrPHB2VwnuYgzunvIXp0R3G7iBT9sd+BMHTszmaaxVr9TsNKg4 vXxKYfuv3l73564zFU5vM8M+378Pjotxthe2pWVtaylUWKMwYpDwYjCMCOf953mF0qk6umR0UxMM 5PR7fvee5OqG/W8gyS4/ytKRTclylLbb456icNUZpWAxFpwelded7S0Wvs0XbyOm/lKWxCNxep1U V2Vzkzi/KcMgzXFLp644ve5m6Uv3zG7ARmF4ad/iuebWNapIbRjElNeLLC0sZUfi9ARbL1aBRgZG YL1Gt1WTDU3fkI0GtIwtxhDpG8Ho1420rzzzykVbXiTmwmMWhmm39C99wcQX3c142DJFNgpYwGwl qRiBE4lEcvoaocAeNiOaFYa5duDlRkBah+7wZG4L1/kGf/pWTi+E6TNCzMFCOGmMxOkpAiNCmVOv 2fOahnNvptOf3uxlSuuHV5y+mz5lklaYwAB9xt+f4amIYPqhFjLld+dICPXS+pXrC+fr3r1wiwsF FiPM8X9wvN8DLxN2t85p+yKFssE05iE24oo/cQaozCPB6RkrrD0GzrtFl2mi9buU6JjfOWYCMmoC FvP+q+8fP6dv7U3tnN7j3KUihJWM4lBHazwPpN2fnrSUndzDIhSi42IG4QlQ+fXq+BYw5/77uehs 0XRqx8lxeqKuErguhBtbU2EbWpb3QqFT3ZU52mQdUvoCcowWa4WuNwX+PZDTC0SCW4qGZ4tsrR6c Hucrv9Wb5XrIw2XbX9bO6au1/X1X3CeE1r+lU1ecXhknvX3f2huZpizojy3tnF4e8PUIUYpi+Wlo +oZsNKBlbMHdKw4t/YGu8/3A9imyXcC0XchVIpFITj8YphxmR/qSYQf8OT9roMMlitYfYujDBNKX TDun73qp8nwV4sS9kTg9DVb3nBMhCjjDnB752PoLt6YTQi+GPYvEdwNxxMqkQIHKUGACoHo35RQu iBJ1J3unKw7LIZ19n/Uy+wr0t3Ad5GbgpX27dd49wZCeTAiuVv4965/O8m816Zrh1G2f0zNPD5t3 ad+LPtVCpYSf8penWANUmxD4EN9+4u1qw3ovNKDj5/Stvamd03c1puf/1/lCVPs0cnpyYjGMzUcH GQjtgkdS/VqFyiTKGLeIR9d9hc5YHOSYOWhUTs8MZfHpcUp0gdPL6bHGipMFgaM195vStL8GQxYH cnqLgdj60gclrn4nk15367G3SsGLQiS4/MXOBNaz8tvSglSPxOm9outpI4QZp6VTV7zwhD86YXLi bRD2+OG/cviwCO2cvmvOYl6L8bml6fvZaEf72ILfW69WzkumtpL5Bk7fMEU2C1isKNh5CBid1ADT SiKRSE6PH1esOmCS5ohSNMcsg3i2qb2alSlLqBL9dYWDpvlsejk9xtB9islYHGrCBk7f8JYZ5PRM xk4GLGb0A378AHzCeql61lzSfaRQhNCVPnrXoxQ/QtQJ7SZLLmce/2qaLkuO+MOWalrNVVotGq7F GaCxzpXCv9WMqMjeZXLq+9MPnHeDXclznJWhblnqQ7FKPIocWjCoDVQp7OPj5/Stvandn74vbLrh dHH6YFSuS7a9pFHrzMeGt0DQ3D7omyXIzWBUTu+yBAo1/zRy+qC5vK67gYijQC5bsQq97bj/Q/qH +dMT3WH93dKLVBebBgl0+R1OLzj9IT97SGSVESxcxs/513NG4vTVtlevc3jRSJ0ap6/YczvicQPv FDm9THbNv5whJWsB2dj0/Wy0o31s0VjDqtTCuIHTt06RIWAtm3bCgMZpqr6dSCSS0xemZYIZOGfT HFCiGAELczJe8wrt2hDP/+/zKYeqi7f3pDk9Z8Q+p2cs7s4BxTOVfmUYv5S3WcjpY+uwMxB4rbDI i2nLLMts99mjfuOoaotVHGGmjTBXnsfdc3uKz715LtYAlWkb+hZ5VKbfcMVMb6WBiAy8+Aq3cPrQ OlcWHktEE5ucV5ze/DTSvBszKAYmQRr6cDTi2x0cceY4fUNv6nMdTuQzz+mtsrj2nvmPZ7Yv4Sga w6tqIOzrLW7ro3J6n7XS3x28bYFql+Q0cvoQUTax/pcEjGkxStig0o1gLTpsj+zAt5dDvdB61R4H 58dGyYk5vTYaidNXe1Es5imVGzt1tUe2vaX6yhQmuP6tdjkvmxbMLF2qKlky2dj0/Wy0o31skW0L zn59umyFauD0DVNkg4B1ZxbrDToLj9vV1nXJSyQSyelrE60JvmUaxjO6xLrlqAEm42HOgibyylGE vnmg7w1vmQih1u3OTL6bE7q3cIUcB6cPV37T5NTPp0dty0yMDXefZRKpNIvBevk5VE7qQCPY5fQ8 K8LRto9YJJgvh0Ww3lAJAy+2/hZOH7sPn1z+ZNd2TLNI4+v3tHB6FYgLhsN0NP1ATm9foOVTI6cf R29iNK+8BVjbx8Hpi2eCzdx+T7CwpDK0Qmv/Fm94VfUxb+688vmqye2RZQpQOaoCVWrl9A0taxnc p+yotsDi6kM4+w54et9InF4d8tzQc6sRbBycvnvQDdcLIRJv7NTTwuk1EJWzNVgV3i7nYSnqni7g qBkhV+92dWPTRzbGyul5KIkTMjkBeEuynVaBLVNkO6ePuVJnnChSIpFITo9s0fcw49KdVOHVMRTG FPbiuGsqpTPmX1tR1cpZnIav+OVHSOXX7pOWEWK//0BOT/0cITQ0QQQH2tCpusfE6W2rDT3fqJxe zUA3hIeMyNSc3We7XyTVInQzphy6/IFLIBYDvLbL6cVEnflLVO0Sh/ojNPRkfT6n1WRvunxvNEo1 nzmbObRr06Wnp6rsEgjVRbs2kNNb+agoe0NbOP04ehOyyMYS5I/O1bvGwekp8DAeu1cnzieFX9/c T3iqzcrEhkGpK5NCKrEpPJhwTo7Th6b/9L89vZXTN7Ss8YqcB/OL7ePoV5FzDeT4l25P4djmXSNx +hP+8ASt1o1PZz8mTm9/ebVbQB9p79RT5/TgFf0BkEi0yzlOX22hsf6PLUMNTd+UjalzeoblUKBM /BbHDdsTUp1J0DJFtnP6WPnE8WWJRCI5/VDwha30QOXYDaZqAyv3QaOnf6tzOaiEy+l7VGK0Uxge jR1CU7EiKiXcy9xJZ8YUjvx1NxHu8wP7cK2Zf9h8E6rHUdg+p8dRpOBIE7zB2oCK0TQZc5WFgRTM kY5Fww7NqQ48HonTG2EVs1zyT7EU/1ZcgTXAg3xIZEZBWAzaOb2RHdUzSfCqt0uPp6/5w5ZZ+e8+ iyLIg1dzn7VnS4jDK2NjHB96E4CWYrBm25WCkMLpK25Kf8lKq+1sqLIlqzuJSrAchK8FHR9p0cUa YCUg/eni9GY4DIZ4KK9W0zTmNrsIOH5MI6e3GhTHOtA2WZyAiKqNgZye3JYDyDlL2MiouqaT0zf0 pnIQniUxlqO/kAQVPhKn18WKTFrUCZdg+dd3AKoMWOfoI5yyUGft4kjKxvPpNYRm4mpPvAmPhbTu We2qZGnRcZxrVCJo5XCGnjSnBylESFNhG1pWbbvlOE4GLpTIXtXqqz0+V1R2pbOreFydEK2ROD1V gvj6KSHXHTQZCRwTpyceei7zAl0AtxCX/STtnXpaOL2lnSHLghDV1umU2r4FR281ynn43hjPNYTH bzzgRrJKk4IBNzR9azamzumNxqYeWTUJ6heqlMCLUL6e0UXJp7WldtHdjNutU2Q7p28/nz6RSCSn x8CorPb/kf27gdQnxs04x5D2heNy/0vyBqyIg1sbsvvfa3TEhImtfHqjIqCOcEH34wNMSPPAb06Z rYtCurjh4sHVRtL4Ug+PWMxgJE5P2+3fgZfsiVC9S5G9btRvTlHwYBXWJ5E4MqG81bP4E9fS+PKI 2bGrOrXyseyJ2ka/yoxSkVRlx73iRSYqc3xXUWQRFdXuMsXKM83ltHD6qFVt1/1SWE2Xp8zpnUaH v8Yr+OFw9BrI6QFvI2Cm2HDJmDqnb+9NzruwFIyNoUjtqHtkUcCBIto/HZVvGP2xpekE35yy7q1y CJaalYhSQMoG0a0WDBHBEGHxwDgwRU5v5U+paYhAnpoK29CyhEf3ER5ZnXfovOpZY1r5dJHN636f +len+q0nNlIuTJRwRoVoUB4XY+L0dLRWXOVFduJaq7vV3qmnhdMDX3BC0n0LfUGjnMc3p6x74/tZ Uouv5jU0fVM2psjpw8nHHEET0R3ELB76xhBelLo8SYumb5wi2zk9O2d+RzaRSE7fCvNBOfS9suNT 9NK4mOwnmLYpAk0wdCct3ocDyS5Fmm/lVN4+XU5fHIUxbDkZ9rlveQiV5IyhndMHd6GwKV+tMg1X z8aU4K5qr5YuBSg+Jb0aUyET++sXJb2DugeSda+TkxJhfDuuFKTIhsYd3ytKfU4xneD0Y+pNaoCQ U+MVT6pPLfhI0CgPc5tGrLUa9Se+MtBlHztkuxOhEKPZDLm1EvYdnyhLHzFw0cLSK4/6CnvB9Uc2 qOjR7Wjn9OrcctFCWrXHqmPmO3W4Nul03lXXarOcM4FKwRg1hmxMJ2w+ITza187UpvYdwxQJNqSR AQbPJECJRHL6pv1PTq2OzzDNHgSnn/0IXl72/MUJNg2oOX1iJuHMFu1FCRqc/tO1NwV4pJS91Lwa fNl002x3rBdL6x4zT3kcx1DOHgSn3wTbKMHKzf659/ftzRxUtncnEonk9DOB5PQoAut/uXjrJqff WGbNaLXQ9396A39FXvnnhDPGJggqXg7fzhKx5bRs5sHp6ZiT088eJMoZ+Ti9XS4bd0kSiURyevvP OGhuCiXlIcOb0x7fFPHETEpdOHJsauBNYWHDSdpeHYoDH3mNg8NnFZwTamTgcbcJtlGCw9Uwn59E IpGcPpFIJBKJRCKRSCSnTyQSiUQikUgkEsnpE4lEIpFIJBKJ5PSJRCKRSCQSiUQiOX0ikUgkEolE IpFITp9IJBKJRCKRSCSS0ycSiUQikUgkEsnpE4lEIpFIJBKJRHL6xMvrX57il0Rf+J8XyvXSUy99 utbSWy+/pYA+htLyYV0xX3v+tcm96N033o36fPPjbwpJvPfWe2rjndfemXpS7775ru8uvfnSTFes Zo0iTK6wsu0rsOV66r6nNpa2S7yy4ZUXH3txdDnfdKG6XnvutfzsVCKRnH4ozbpu7+sWHLlgZrL7 ifc/8dYrb33wHv63EeCgnzxox6/bcdjd999+X1n+98Ohw6tPcvqKe7n2+M49Pl1F8MYDblTAJ5c/ 2cLexDztb06b3IuWXbws6tM3/Mdfstnem+CB6x9QG3eefOew/BBRfGjiRJ5b89zBP31wqdjr9rku wh+e//DVu1994h+feOjPHerv9ftdL7Xugwj05TtcXl0rr105iWb96OkfnXRhCUMIxl7fu9fG0nES R/3mUdt80TajyfnsxjuvvzPWhcfmn7W5evCd4+v3vX7A7UQikXr6i7e52DCx/oH1M5Dd+y6/z7sW n714o6jcub8w12fYh929aKuLlIUif2JOf+zvHbvhoQ0vrHshOT1N8Jaft+VZ/3TW5F709qtvq8mH bnpo/Jx+4+hNoDZU6TBC/MaLb8jM2f9y9sSJnPznJ4t2yxG3PLHsiddfeD3C8ePNPnOz3b9j97m/ OHfP79pTnDlfNefp+5+OCEvPXypwi8/ZQh7iumLHK6aF07cX1qJFSV0ymZx+Y+b0DU0/u7HvD+4b U8Y4YABcvWD1QT91kC6zYdWG+nYikUhOzy1k88/e/PS/Oz05fTvaOX2opZPTTwuY4MfP6Wd9b2pA O6fH2nf5ll0GEKkbH5JC/Lv0gqVSO/TnD604vU5dPTgWTt8AhP7TktMnpw9sypy+6nf6o9+JRCI5 fY2z/vksRr1P6tr49Iqnl120DCOnKqBz7UfgjLviqhWLTltErfL+O+9HOAcVCgbXgqMWGIxuPPBG v8sV0fzgA9B15/3wEx8K4T4YIS8+/uKzq58tObnrjLtWXrOy8ivwuEck1TWGCgl7KIcZL8VUJK4U srpm4RouCpWDeGTv+Uee71tXyy28TVn4J5R/ZWxUTi/CI7c9oj7vufCex5Y8JkuVSgZBVHWrb1mN 8ay9Y63ffc23FO4+524XJeswP0ve5+pKYR+84UHuEwPdNM0QqvSxux+bNKd/5ZlXlpy7xHzjR39n QlSp38NcZmVSHsrywGJJzI2O07f0pufXPl8VjWB343MQf/bhZ0u9qU+1+uqzr1aJkMyoUhJb3f3Y ox8Tzr9cXZ34JydGzIH7EHb8+h33/9H9W4pGEb7ZZ2xGbsfK6floyao6aSlsO6fXO/Syu868a8l5 SzRBP4L+tfb2tXKyat4qZbTxg7BVfUo3Lxl7/WOvL79kuaTkrWqXMgb6q7b7rewvIS+WnMeXPq5x X36aMLSCIaUMm2RDrzd0dEfI9k4tBelIrThfSWr5pcsVqj0nkY4h1FuIgT7bJuc1p2f8kYIa0/QN ct6ajfb6ZAPUlAbzMvIsPmuxLPXlxxjrliar7K6aoORQB9n5G3eODBvAG6fIdgGDVTev0mXuPGWQ J1IikUhOj0CYqi/Y/IIJvCaO/PUji8eqmP6yhHYnXeBGvNUXbBWOrbt+666Yd9eReuAVQ6fp1r83 H3JzpWU89z/OjRA+AFwJGffj8V2+eZdnHnwmInhcoKQqywDy0X3LVbteFQ7ErpP/7ORuQXhtxi3+ 9AM9O/uXjI3E6VlOd//23aM+XeaD2m/nd489/JcPj1cc9kuHdZ01bzv+Nq3QzYMNAPhBNQ/xkO5G 00bqpDsX0uNGHlxH/OoRJp5ROT3H63iLH2a+bhyVEOn7PbA2qIojzqUfuVTNH/Kzh2x8nL6hN6kf LVup97o7LtwVB82i8i8Vgvo8uvjR7iPqp9wa6GdMEgZK6cKjF/ayI6kmTm/NKSY5H6ueHpU54McO 2O7Lt9NVGwrbyukly8IQiZSBRS/rrtVJftwV2RYCPyripfiiIVtbff5WMR7SDpTNQrt9227dV4jT 3VzhQaOiFNzSssax0u92+JodypqtBdfscY1Hrt3rWhISPRqzd6u9UxcaXbZPXLrdpRFTUsGqW7Di yhXdppGODRWNch6c/oqdrogULC+fvPfJBjlvy0YD1IBH9v2hfUslXLz1xdt+6bZ+W5aj+N1l9sE/ c3D3FbzsQsnidQO7m+V04xTZImA1p1cbiUQiOf1AmMAMIlRTE0wkCAFlqh2uNBBX7nylYS4iLDp1 kQhH/9bRGLZZwRi08zftjHBbDBRmSfnhuuOkO0Sbf/h8v8sltZE4vQHO8E05TbOCUmz5uVvu9T17 mZvbOX1hSFgj+kuTJE0hdOHd2b3kbb8f3q/P6Wn6y13qWA9ShZZ/qWRG4vTeu+2XbKuiRPPGdYvW yVL1rMLiFrRolEll5jvn386JOKpRK1AdqQoTtjLybD76t4/uz1jH/f5xmgznoDa76eCbbj/h9ohQ rA2XzblMbVCDaUeJnPSnJ5W79jtq9IGXFUWX0+MoGlcKahiz8S+a3mVUqgjZHVghCrv39+3tvYgd MwK1In7Pk3sj4/QNvamd0ys+waZ61AtYckiC3R3dR7SXKqV1Hji744juYgzunvIXp0R3G7iBb85X zjnwJw6cmM2r9jP/4Uyp2SlbcXr5lML2X7297s9dZyqc3kEo+3z/PjguxtlS2HZOb1tLocIahRGD hBeDYUQ47z/PK5RO1dElo5uaYCCn3/O797TkuGH/G5645wmXH5rJLUc/HfFrR9B2e9xTFK46oxRi MYar6Re6s73Fwrf54m3EXHfnOr/1nZE4vc6iq+osEtdZDIM0xw2duub01nI7fcNOVuDsBmwUhpf2 LZ5rbl2jitSGQUx5vcjSwlJ2JE5PsHf42h1UoEGMEVivMXqoyYamb8hGM6cnfh7kNuP3vZfdq9PJ 1Wl/fVqotKRv1qBfN9KyQ1605UViLjxmYZh2S//SF0x80d2M241TZIuABcxWkooROJFIJKevEQrs YTOiWWGYawdebgSkdegOT+a2cJ1v8Kdv5fRCmD4jxBwshEvJSJyeIjAilDn1mj2vaTj3Zjr96c1e prQqsM/pu+lTJmmFCQzQZ/z9GZ6KCKYfaiFTfnXQZKiX1q9cXzhf9+6FW1wosBhhjv+D4/0eeJmw u5y+u/NVcwhRP43n3pRtr6bJCDGtCtnIOH1Db2rn9B7niRQhrGQUhzpa43kg7f70pKXs5B4WoRAd 13ZfsR1PgMqvV8e3gDn3389FZ4lrWflPjtMTdZXAdSHc2BoK28TpeS8UOtVdmaNN1iGlLyDHaLFW 6HpT4N8DOb3AMENNDDy7GJ2C0+N85bd6s1wPebhs+8vaOX21tr/vivuE0Pq3dOqK0yvjpLfv01sj 05QF/bGlndPLA74eIUoRlp+Gpm/IRhunL3YSJN7vMloe8zvHxEIXd684tPQHus73A9unyHYB03Yh V4lEIjn9YJhymB3pS/q3LtjsAoOI87MGOlxSrPaHGPowgfQl087pu16qPF+L48dInJ4Gq3tGshAF nGFOj3xs/YVbI6/oxbBnkfhuII5YmRQoUBkKTABU76acwgVRou5k73TFYTmksxfh/qvv7wYy+wr0 t3Ad5GbgpX2D00f8yBWucMCPH9DC6YOmaMou5dooOX1Db2rn9F2N6fn/db4Q1T6NnJ6cWH1h89FB BgJH10BUv1ahMokyxi3i0XVfoTMWBzlmDhqV0zNDWXx6nBJd4PRyeqyx4mRB4GjN/aY07a/BkMWB nN5iILa+9EGJq9/JpNfdeuytUvCiEAkuf7EzgfWs/La0YCUYidN7RdfTRggzTkunrnjhCX90wuTE 2yDs8cN/5fBhEdo5fdecZddQjM8NTd+QjTZOX/ZlaQVKkBJ+yl+eEs6Q+L31auW8ZGormW/h9K1T ZIOAxYqCnYeA0UlVppVEIpGcPvhxsOp6jyNHlKI5ZhnEs03t1axMWUKV6K8rHDTNZ9PL6TGG7lNM xuJQEzZw+oa3zCCnZzJ2MmAxo6O/+IT1UvWsuaT7SKEIoSt99K5HKX6EqBPaTZZczjz+1TTBxrrx hy3VtJqrtFo0XKMzQHB6vkPdQAZ9VwunD8La3RcBCPHGx+kbelO7P31f2HTD6eL0wahcl2x7SaPW mY8Nb4GguX3QN0uQm8EkPjugxUPNP42cPmgur+tuIOIokBef37w1/L7tuP9D+of50+utw/o7SS49 iE1Df3T5zeklOD2RjqwygoXL+Dn/es5InL7a9up1Di8aqVPj9DV7bkY8buCdIqeXya75lzOkZC0g G5q+IRttnD5aWdXFOTyGKV5A0VjDqtTCuIXTN06RIWAtm3bCgMZpSkgikUhOX8NoYoIZOGfTHFCi GAER6+J6wSu0a0M8/7/PpxyqLt7ek+b0nBH7nJ4CuDsHFM9U+pVhnF7eZiGnD47rDAR71FjkxbRl lmW2++xRv3FUtcUqjjDTRoy5PI+75/YUn3vzXKwBKtM29C3yqEy/4YqZ3koDERl48RUOTh/cKCBj yF8jp5eN/mmYBGyj5PQNvanPdTiRzzynp3e0jjrzH89sX8JRNIoc3r192Ndb3NZH5fQ+a6W/O3jb AtUuyenl9Pp78ZPuf0nAmBajhA0q3QhW1MP2yA58eznUC61X7XGUU2yUnJjTa6N2Tt9fQlvMUyq3 dep6j2x7S/WVKYO/NdEs52XTQlcnXbbckMnGpo9sjIPTI82RbQtOFdi/bIVq4PQNU2SDgHVnFusN 5h2P29VWu+QlEonk9F0TrQm+ZRrGM7rEuuWoASbjYc6CJvLKUYS+eaDvDW+ZCLGJszsz+W5OxS+5 Qo6D04crv2ly6ufTI+Vm4nAkjWeZRCrNYmhl+DlUm/yARjA4ffi1V98A6i8SzJfDIlhvqISBV9j6 cfpqk4MJ0lTNXbiR0+NSwglV5RC1UXL6ht7EaF55C7C2j4PTF88Em7kn/rgvlWGs0CaGaq9aqsK8 ufPK56smt0eWKUDlqApUaRKc3o5PC+N+uGVwn7Kj2gKLq4/1ZN8BT+8bidOrQ54bem41go2D03cP uuF6IUTijZ16Wji9BqJytgarwtvlPCxF3dMFHDUj5Ordrm5s+sjGWDk9DyVxQiYnAG9JttM6tG2K bOf05soYAxOJRHL6iRz16HuYcelOqvDqGApjStiL3TWVUs3yr62oauUsTsNX/PIjpKJxPmkZIfb7 D+T01M8RQkMTNHegDZ2qe0yc3rba0PONyunVDHRDeMiITM3Zfbb7RVItQjdjyqHLH7gEYjGg4+xy ejEZ5flLVO0Sh/ojNMh3n89pNdkbyffGtFdRKJscGjm9E3KEm+DjpdYqGyunb+hNyCIbS5A/Olcl Ggenp8DDeOxenTifFH59cz/hcVBSJTYMSl2ZFFKJTeHBhHNynD40/af/7emT4PTWtLpAfxO58Yqc B/OL7ePoVxE5DcRVrNtTOLZ510ic/oQ/PEGrdePT2Y+J0zt+t9otgJu2d+qpc3rwiv4ASCQa5Tw4 vUVIdfqQLUMNTd+ajalzeoblUKBM/BbHDdsTUp1J0DJFtnP6WPnE8WWJRCI5/VDwha30QOXYDaZq Ayv3QaOnf6tzOaiEy+l7+BztFOpMY4fQOEnX3a5KiZnY3ElnxhROLd3dRLjPD+zDtWb+YfNNqB5H YfucHkeRgjPF8AZrAypG02TMVRYGUjBHOhYN0TenOvB4JE5vhFXMcsk/xVL8W3EF1gAP2mYgMwrC YtDO6Y3sqJ5Jgle9XXo8fc0ftszKf/dZFEEevJr7rD1bQhxeGbpwPvQmAC3FYM22KwUhXU4PqFI5 sY6VVtvZUGVLVncSlWA5CF8L4tYWXawBVgLSH4nTyyotFH0nAfA4FV18eQoTLRVYPK+cuF/+7Z57 WDxAsCLTJ76OCmjljZLTN/SmchCeJTGWo7pIghobidPrYqUOLeqES7D86xtGVQYoSvURTlmos/pX e43n0+s+KAhXe+JNeCykdc9q8ca9Ssfx7ZsSAU8NZ+hJc3qQQjekvbBGpHK0PDcYW1S7HUFtu+U4 TgYulMhe1eqrPT5XVHals6t4XJ3oUCNxeqoE8fVTQ5NxRpPpj2Pi9MRDz9Xd6AK4hbjsn27v1NPC 6S3tDFkWhKi2Y2eU2r4FR281ynn43ujpGsLjRhKySpOCATc0fWs2ps7pjcamHlk1CeoXqpTAi2Ao q1Ir+bS21C66m3G7dYps5/Tt59MnEonk9HQMVFb7/8j+3UDqE+NmnGOIct1+Yq0kQNEMWBEHtzZk 97/X6IgJE1v59EZFQB3hgu7HB5iQ5oHfnDJbF4V0ccPFg6uNpPGlHh6xmMFInJ62278DL9kToXqX InvdqN+couDBKqxPInFkQnmrZ/EnZDe+PGJ27KpOrXwse6K20S8zSlWloOy4V7zIRGWO7yqKLKKi 2l2mWHmmuRyJ01MaleWTC5WJsoSWq38pftddx4RdpEKVIgEIpebe+Dh9Q29y3oWlYGwMRWpH3SOL Ag6s0v7pqHzDrJQsTSf45pSGq3IIlpqViFJAygbRrRYMEcEQYfHAODBFTm/lT6lJGJCnkQoLGLmh A3mqnG0ImO4jPLI679B51bPGtPLpIpvX/T71r071W09spFyYKFIYFaJBeVyMidPrbjpIeZGduNbq brV36mnh9MAXnJB030Jf0Cjn8c0p6974fpbU4qt5DU3flI0pcvpw8jFHOM+g+7lDi4e+MYQXpS5P 0qLpG6fIdk7v8N/8jmwikZy+FeaDcuh7Zcen6EW2TPYTTNsolwmG7qTF+3Ag2aVI862cytuny+mL ozCGLSfDPvctD6GSnDG0c/rgLhQ25atVpuHq2ZgS3FXt1dKlAMWnpFdjKmRif/2ipHdQ90Cy7nVy UiJMeseVB+nP6A4rGtQOeSueRVIwKXIw2Cg5fUNvIt6EnBqvlPdTCz4SlmHD3KYRa4JB/YmvDHTZ xw7Z7kQoxGg2Q26thH3HJ8rSRwxctLD0yqO+wulV+qPNx9Gj29HO6dW55SINhWqP7jaOTt0CLNwg 5l11rTbLOROoFIxRY8jGdIL3IOHRvnamNrXvGKZIsCGNDLBFJwFKJJLTN+1/cmp1fIZp9iA4/exH 8PKy5y9OsGlAzek3BaCD/b3U8ZnGMF6rST7Q4+P0m1RvCvBIKXupeTX4sqmQTRBYb5el8RyjPI5j KGcPgtNvgm2UYOVmd/XVbeagsr07kUgkp58JJKdHEVj/y8VbNzn9BLC1gBu0v1RQDtBkAe8ffkLd GPUZZ/lNHQn8FXnlnxPOGJsgqHg5fFsr2nJaNvPg9HTMyelnDxLljHyc3i6XjbskiUQiOb39Zxw0 N4WS8kLhzWmP7ybSsk66cDwLF2E+pty7fUQm9vwlZlLqwpFjUwNvCgsbTtL26lAc+MhrHBw+q+Cc UCMDj7tNsI0SHK6G+fwkEonk9IlEIpFIJBKJRCI5fSKRSCQSiUQikUhOn0gkEolEIpFIJKdPJBKJ RCKRSCQSyekTiUQikUgkEolEcvpEIpFIJBKJRCKRnD6RSCQSiUQikUhOn0gkEolEIpFIJJLTJ15e //LHn/j4VFJ44X9eKNdLT7000oMJNa/+++FvfvxN9fmJ9z8xpve+/rHXo9Xee+u9WV5Lciif77z2 ztSTevfNd3136c2X3pzhIrz7xrtRhMkVVrZ9BbZcT9331MYi4YlXNrzy4mMvji7nmy5Ul4/xDf7s VCKRSE5vdLhu7+sWHLlgZrKLir31ylsfvPfBRlG5B/3kQTt+3Y7D7r7/9vvK8r8fDh1efZLTV9zL tcd37iEk0Q41f8jPHtIPv3yHy9Xnc2ueG9N7L9jsgmi1VTevms29CR64/gH5vPPkO4flh4h+0pWJ yjz4pw8uRb5un+si/OH5D1+9+9Un/vGJh/7cof5ev9/1Uus+iEBrjupaee3KkYqw7OJl3vvR0z86 6cJeucuV0WR7fe9eG4uEJ476zaO2+aJtRpPz2Y13Xn9nrAuPzT9rc/XgO8fX73v9gNuJRCL19Bdv c7FhYv0D62cgu/ddfp93LT578UZRuXN/Ya7PsA+7e9FWFykLdfLEnP7Y3zt2w0MbXlj3wrRkKTn9 VbteteXnbfn82ufHpzvUXvhrcPpZ25vgoZseUhvDCPEbL74hM2f/y9kTJ3Lyn58s2i1H3PLEside f+H1CMePN/vMzXb/jt3n/uLcPb9rT3HmfNWcp+9/OiIsPX+pwC0+Zwt5iOuKHa+YFk7fXliLFiV1 yWRy+o2Z0zc0/ezGvj+4b0wZ44ChafWC1Qf91EG6zIZVG+rbiUQiOT23kM0/e/PT/+705PTtaOf0 p/3NaVN/V3L6GQb2EJx+NvamBrRzeqx9l2/ZZQCRuvEhKcS/Sy9YKrVDf/7QitPr1NWDY+H0DUDo Py05fXL6wKbM6at+pz/6nUgkktPXOOufz2LU+6SujU+veHrZRcswcqoC3rf9CJxxV1y1YtFpi6hV 3n/n/QjnoELB4Fpw1AKD0Y0H3uh3uSKaH3wAuu68H37iQyHcByPkxcdffHb1syUnd51x18prVlZ+ BR73iKS6xlAhYQ/lMOOlmIrElUJW1yxcU7knvvXyW5G95x95vm9dLbfwNmXhn1D+lbFROb0Ij9z2 iPq858J7HlvymCxVKhkEUdWtvmU1xrP2jrV+932gpXD3OXe7KFmjIH0fdHWlsA/e8CD3iYFummYI VfrY3Y+N6oQtn6pX+siZmlc/phzVUmXGv3K4+KzFS85dMtBqoWkeuO4BeXjy3if7nJ6/lhfFFe5b 7U3vqdeef00933XmXYRKZXrdvZfdK9o0cvqW3sTIUG0VINjd+BzEn334WT9EU5lq7NVnX60SIZlR GyS2uvuxRz8mnH+5Upz4JydGTJIwYPn09Tvu/6P7txSNInyzz9iM3I6V0/Owl1V10lLYdk5PAkvr LzlvyUA7D5FYe/taOVk1b5UykhY+3JUY6+YlY/ZdLL9kuaTkrWqXMgb6q7b7rewvIS+WnMeXPq5x X36aMLSCIaUMm2RDrzd0dEfI9k4tBelIrThfSWr5pcsVqj0nkY4h1FuIAQVHm5zXnJ7xRwpqTNM3 yHlrNtrr8+1X39aURi0hHjdMhT2qZQTTBCWHOsjO37hzZNgA3jhFtgsYGJd0mTtPGeSJlEgkktMj EKbqCza/YALqduSvH1k8VsX0lyW0O+kCN+KtvmCrcGzd9Vt3xbxjkhYy8Iqh03Tr35sPubnSMp77 H+dGCB8AroSM+/H4Lt+8yzMPPhMRPC5QUpVlAPnovoX/RjgQu07+s5O7BeG1Gbcwy4Genf1Lxkbi 9Cynu3/77lGfLvNB7bfzu8ce/suHxysO+6XDgqHCbcffphW6ebABAD+o5iEe0t1o2kiddOdCetzI g+uIXz2ifaMkDuSRfX9o35LCcb9/3AE/fkD5fc2e13RJ6sE/c3C8QgQ+KihUVwIJTES4eOuLK06P dsTdyp++sen9pkXjTOKHeTdKrVank9M39CbNoWUr9V53x4W74qBZVP6lvKjPo4sfrewY5dZAP2OS MFBKFx69cJBJpInTW3OKSc7HqqdHZQ74sQO2+/LtNGVDYVs5vWRZGCKRMrDoZd0VIMmPuyLbQuBH RbwUXzRka6vP3yqEmXagbBba7dt2675CnO7mCg8Scim4pWWNY0UCd/iaHcqarQXX7HGNR67d61oS Ej0as3ervVMXGl22T1y63aURU1LBqluw4soV3aaRjg0VjXIenP6Kna6IFCwvLenb5LwhGw1QA90R zMiz7Zdu67dlOYrfOIJ53cDuZjndOEW2CFjF6QfXRiKRSE4PJjCDCNXUBBMJQkAvXjSmV+58pWEu Iiw6dZEIR//W0Ri2WcEYtPM37YxwWwwUZkn54brjpDtEm3/4fL/LJbWROL0BzvBNOU2zglJs+blb 7vU9e5mb2zl9YUiXfuRS9JcmSZpC6MK7s3vJ234/vJ939dXJ5S51rAepQsu/VDIjcXrv3fZLtlVR onnjukXrZKl6VmFxC/yVMqnMfOf82zkRRzVqBaojVWHCVkaezUf/9tH9GQvV1mQ4B7XZTQffdPsJ t0eEYm24bM5laoMaTDtK5KQ/Panctd9Row+8rCiC0yMQaERxyzbV+W0u3+Frd4gF4Z7fvac6p52S z1eeeeWiLS8Sc+ExC6Owe3/f3pqSUkpZWCR2+oadlL3L6WW+1PP5/3X+pDn9Pt+/j0VRMRZZ1MnY Dfvf4Dfd2NQ5fUtvauf01h4Em+pRL2DJURt2d3Qf0V5qg9Z54OyOI7qLMbh7yl+cEt1t4Aa+OV85 58CfOHBiNk9jfeY/nCk1Ow0qTi+fUtj+q7fX/bnrTIXT28ygjXBcjLOlsO2c3raWQoU1CiMGCS8G w4hw3n+eVyidqqNLRjc1wUBOT5gtOUjOE/c84fJDM7n1wbsfHPFrR9B2e9xThEpnlILFWHB6VJ7o 2lssfJsv3kbMdXeu89vAOBKn10l1VTY3ifOb0ndojls6dcXpreX0NbpndgN92fDSvsVzza1rVJHa MIgprxdZWljKjsTpCbaBQgXq+IzAeo11kZpsaPqGbDRzeuLnQW4zfrPd6XRyddpfn9Y4gnm29C99 wcQX3c243ThFtghYwGwlqTIC10gkEsnpuwrsYTOiWWGYawdebgSkdegOT+a2cJ1v8Kdv5fRCmD4j xBwshEvJSJyeIjAimFNDqdx+7s3U/enNXqa0fnjF6bvpUyZphQkM0Gf8/RmeigimH2ohU353joRQ L61fub5wvu7dC7e4UGAxwhz/B8f7PfAyYQenNxn7XRZsRbll5eB3cWsx81UzkAx0HU+ZoctioHLd bjz3pp3Tn//f5xfrtt9X73a139wS/OaEM3VO39Kb2jm9x7kzRQgrGcWhjtZ+HkijPz1pKTu5h0Uo RMe13VdsZ9FV+fXq+BYw5/77uegscS0r/8lxeqKuEphQYonVUNgmTs97odCp7socbbIOKX0BOUaL tULXmwL/HsjpBSLBLUXDs0W2Vg9Oj/OV3+rNcj3k4bLtL2vn9NXa/r4r7hNC69/SqStOr4yT3r5P b41MUxb0x5Z2Ti8P+HqEKEWx/DQ0fUM2mjl9sZMg8X6X0fKY3zmmLHRbRrBAP7B9imwXMG0XcpVI JJLTD4Yph9mRvmTYAX/OzxrocIkY9YcY+jCB9CXTzum7Xqo8X4U4cW8kTk+D1T3nRIgCzjCnRz62 /sKt6YTQi2HPIvHVkS+VSYEClaHABED1bsopXBAl6k72TlccmIFg3vdffX83kNlXoL+F6yA3Ay/t G5yedjaIOMWS3/LjN4VWmR2xvcr0TzBEKIlYUMViIJy1xsHp2Tr8kCu/582dVzygYrfZ1Dl9S29q 5/RdjWmxTqj2aeT05MRiGJuPWhoIHB2PpPq1CpVJlDFuEY+u+wqdsTjIMXPQqJxe01h8epwSXeD0 cnqsseJkQeCKIFGa9tdgyOJATm8xEFtf+iBd+p1Met2tx94qBS8KkWAdip0JrGflt6UFK8FInN4r up42QphxWjp1xQtP+KMTJifeBmGPH/4rhw+L0M7pu+YsNroYnxuaviEbbZy+7MvSCpQgJfyUvzyl OEO2jGA1px99imwXsFhRsPMQMDqpAaaVRCKRnB4/DlZdwSTNEaVojlkG8WxTezUrU5ZQJfrrCgdN 89n0cnqMofsUk7E41IQNxK71LTPD6ZmMnQxYzOh80PEJ66XqWXNJ95FCEUJX+uhdjxYfdHVCu8mS y5nHv5om2Fg3/rClmlZzlVaLhqN0b/enx31DDJ5c/mTsSeCdVZjWsLeglUFYu/siQFmmndM7yLyo YIsDWLjp81yfOqdv702N/vR9YdMNp4vTB6NyXbLtJY1aZz42vAWC5vZB3yxBbgajcnqXJVCo+aeR 0wfN5XXdDUQcBfLi85u3ht+3Hfd/SP8wf3q9dVh/J8lku9g09EeX35xegtOHSMsnI1i4jJ/zr+eM xOmrba9e5/CikTo1Th/suR3V4wbeKXJ6meyafzlDStYCsqHpG7LRxumjlVVdnMNj3OYF5EfLCDYx p2+fIkPAWjbthAHNICwkkUgkp69hNDHBDJyzaQ4oUYyAiHVxveAV2rUhcmygHKou3t6T5vScEfuc nrG4OwcUz1T6lWHETt5mIacPbbQzEOxRY5EX05ZZltnus0f9xlHVFqtQKmsjxlyex91ze4rPvXku 1gCVaRv6FnlUpt9wxUxvpYGIDLz4Ck/M6aNyeEija9LsX5xzgoVU28UYMabI6TV9I6cnkFPn9O29 qc91VNHMc3p6R+uoM//xzPYlHEWjyOHd24fVUXFbH5XT+6yV/u7gbQtUuySnkdOHbLCJ9b8kYEwL USkiEbCiHrZHduDbyz4NtF61x8H5sVFyYk6vjUbi9LbfVAtgSuW2Tl3vkW1vqb4y5ax/Oqt/q13O y6YFM0uXqkqWTDY2fWRjHJy+sPOGEWxiTt8wRTYIWDWzWG8w73ic3qR2yUskEsnpuyZaE3zLNIxn dIl1y1EDTMbDnAVN5JWjCH3zQN8b3jIRYhNnd2by3ZzQvYUr5Dg4fbjymyanfj49Um4mDkfSeJZJ pK9ZRKOLn0O1yQ9oBLucnmdFONr2EYsE8+WwCNYbKmHgxdbfyOnZ98O3fiBuOugmETRlZVJv5PSN TT9+Tt/amxjNK28B1vZxcPpSjTZz+z3BwpLKsKzQJkZ8sVVDD4vAo6l8vmpye2SZAlSOqiAtk+D0 dnxaGPfDLYP7lB3VFlhcfQht3wFP7xuJ06tDnht6bjWCjYPTdw+64XohROKNnXpaOL0GonK2BqvC 2+U8LEXd0wU44MVel5amj2yMkdM3jGDdLU9sp3Vo2xTZzunNlTGaJRKJ5PQTOerR9zDj0p1U4dUx FMYU9uK4ayqlM+ZfW1HVylmchq/45UdI5dfu7JQIsd9/IKenfo4QGpqguQNt6FTdY+L0vMBDzzcq p1cz0A3hIRNOIPFs94ukWoRuxpRDlz9wCYRA03F2Ob2YjPL8Jap2iUP9ERp6sj6f02qRvQnQyOkx 5mr5UWXD+qRStt1+4u3tnL6x6cfP6Vt7E7LIxhLkj87Vu8bB6SnwMB67VyfOJ4Vf39xPeJw1VLUX g1JXJoVUYlN4MOGcHKcPTf/pf3v6JDi9Na0u0N9Ebrwi58H8Yvs4+lXkXAM5/qXbUzi2eddInP6E PzxBq3Xj09mPidM7frfaLYCbtnfqqXN68Ir+AEgkGuU8OL1FSHX6kC1DbU3fkI2pc/qGESzgYFx7 QqozCVqmyHZOHyufOL4skUgkpx8KvrCVHqgcu8FUbWDlPmj09G91LgeVcDl9j0qMdgp1prFDaCpW RKXETGzuxKiYwqmlu5sI9/mBfbjWzD9svgnV4yhsn9PjKFJwphjeYG1QTjyMucrCQArmSCexoJvm VAcej8TpjbCKWS75p1iKfyuuQCXsQdsMZEZBqJnbOb2RHdUzSfCqRyt5+po/eJvIf/dZFEEevJr7 rD1bQhxeGRvj+NCbALQUgzXbrhSEFE5fcVP6S1ZabWdDlS1Z3UlUguUgfC1ow6hFF2uAlYD0p4vT K4uGIx5ESHxvkRnV4uj9SMdvTWmJollxFE1sm0GX06uo0grYTJndy7/OWGxs+vFz+tbe5CC8siTG cvQXkqDCR+L0ulgpvhoTLsHyr28YVRmgKFWxnLK0DilVXY3n06tDFISrPfHWXhbSume1q5JvvY7j 2zclAp4aztCT5vQghW5Ie2GNSOVoeW4wtqh2O4LadstxnBaQKJG9qtVXe3yuqOxKZ1fxuDrRoUbi 9NaT4uunZNg4o8n0xzFxeuKh5+prdAHcQlykur1TTwunt7QzZFkQ6oyOnVFq+xYcvdUo5+F7o7Nr CI/feMCNZJUmBQNua/qGbEyd0zeMYIGST2tL7aK7Gbfbp8h2Tp/n0ycSyelbQcdAZbX/j+zfDaQ+ MW7GOYa0LzSp/S/JG7AiDoJlyO5/r9EREya28umNioA6wgXdjw8wIc0Dvzllti4K6eKGi8xVG0nj Sz08YjGDkTg9GurfgZfsiVC9S5G9btRvTlHwYBXWJ5E4MqG81bP4E9fS+PKI2bGrOrXyseyJ2ka/ zChVlYKy417xIhOVOb6rKLKIimp3mWLlmeZyWjh9mMjVMJre/ViYqbd7dKDGLbc0LnpUfXOqEKz+ hQc0Nv34OX1rb3LehaVgbAxVb6PukUUBB9ZG/3RUvmH0x5amE3xzyuKnymGpmUpEKSBlg+hWC4aI YIiweGAcmCKnt/Kn1DREIE8jFRYwckMH8hRNHGtg3Ud4ZHXeofOqZ41p5dNFNq/7fepfneq3nthI uTBRpDAqRIPyuBgTp6ejteIqL7IT11rdrfZOPS2cHviCE5LuW+gLGuU8vjll3Rvfz5JafDWvqekb sjF1Tt8ygoVKiBelLk/Soukbp8h2Tu/w3/yObCKRnL4V5oNy6Htlx6fopXEx2U8wbVMEmmDoTlq8 DweSXYo02yUrb58upy+Owhi2nAz73Lc8hEpyxtDO6YO7UNiUr1aZhqtnY0pwV7WXpUsFFJ+SXo2p kIn99YuS3kHdA8m618lJiTC+HVdct510Kbf2dQ307fF2tRFlacC4mj44/Zh6E/Em5NR4xZPqUws+ EjTKw9ymEWtVSv2Jrwx02ccO2e5EKMRoNkNurYQJYVWWqshhO6JXHvUVTq8i4TYfh4S3o53Tq3PL RRoK1R6rjpnv1OHapNt6V12rzXLOBCoFY9QYsjFjI1iNMU2RYENafBUkkUgkp//k+5+cWh2fYZo9 CE4/+xG8vOz5ixNsGlBx+hlFwpkt2osSNDj9p2tvCvBIKXupeTX4summ2e5Yb5elOWae8jiOoZw9 CE6/CbZRgpWb4dFXt5mDyvbuRCKRnH4mkJweRWD9Lxdv3eT0G8usGa0WvkOf3sBfkVf+OeGMsQmC ipfDN+8s2znKZh6cno45Of3sQaKckY/T2+WycZckkUgkp7f/jIPmplBSHjK8OW30TBFPzKTUhSPH pgbeFBY2nKRt56A48JHXODh8VsE5oUYGHnebYBslOFwN8/lJJBLJ6ROJRCKRSCQSiURy+kQikUgk EolEIpGcPpFIJBKJRCKRSE6fSCQSiUQikUgkktMnEolEIpFIJBKJ5PSJRCKRSCQSiUQiOX0ikUgk EolEIpGcPpFIJBKJRCKRSCSnT7y8/uUpfkn0hf95oVwvPfVS1udUvsjrM59xvfHiG/046x9YHxEm +Gq6hohG+TT4est7b72nIO+89s7Uk3r3zXd9d+nNl96c4SK8+8a7UYTJFVa2o+mfuu+pjaXtEq9s eOXFx14cTc43baiu1557LT87lUgkpx/Klq7b+7oFRy6Ymex+4v1PvPXKWx+898FGUbkH/eRBO37d jsPuvv/2+8ryvx8OHV59ktNX3Mu1x3fuMelsJN5/5/2oSdeyi5f14xzys4dEhAs2u2BYUnt9714R TbL17Y2qN8ED1z+gIHeefOew/BBRfGjiRJ5b89zBP31wqZPr9rkuwh+e//DVu1994h+feOjPHerv 9ftdL7Xugwj05TtcXl0rr105UhG0pvd+9PSPTrqwV+5yZbSp9t1YpDpx1G8etc0XbTOanM9uvPP6 O2NdeGz+WZurB985vn7f6wfcTiQSqae/eJuLDRPUnDOQ3fsuv8+7Fp+9eKOo3Lm/MNdn2IfdvWir i5SFIn9iTn/s7x274aENL6x7YSo5SdDNuxadtmgYp3/71bdF8M38iTm9htAcJ/zhCQ2cfrb3Jnjo poe2/LwtEeJhlSYzZ//L2RMncvKfnyzaLUfc8sSyJ15/4fXu+mezz9xs9+/Yfe4vzt3zu/YUZ85X zXn6/qcjwtLzlwrc4nO2kIe4rtjxiunk9A2FtWgp4iGTyek3Sk7f3vSzG/v+4L4xZYwDxq7VC1Yf 9FMH6TIbVm0QkkgkktPX3gibf/bmp//d6cnp29HO6U/7m9Om640J/K/i9BUYpoPTT4Az/+HMBk4/ i3tTA9o5Pda+y7fsMoBI3fhQ181p6QVLpXbozx9acXqdeuptOi10DaFPTv9pyekDmzKnr/qd/uh3 IpFITl/jrH8+i1Hvk7o2Pr3i6WUXLcPIqQp43/YjcMZdcdUKylRqlS5h4qBCweBacNQCg9GNB97o d7kimh98ALruvB9+4kMhWFqEvPj4i8+ufrbk5K4z7lp5zcrKr8DjHpFU1xgqhD00HGa8FFORuFLI 6pqFayr3xLdefiuy9/wjz/etq+UW3qYs/BPKvzI2KqcX4ZHbHlGf91x4z2NLHpOlSiWDIKq61bes xnjW3rHW774PtBTuPuduFyVrFKRul4+/qa4U9sEbHuQ+MdBN0wyhSh+7+7HJiZBkUUD5xPCqqlCQ 155/TQHvOvMurakUD1z3wL2X3asmu9HEKSmoDQ7xGymnb+lNz6993laNbgjB7sbnIM7g4Ido5u8l 5y559dlXq0RIZkgpia3uqkDh/MsV88Q/OTFikoR+fnb8+h33/9H9W4pGEb7ZZ2xGbsfK6XnYy6o6 aSlsO6fXO4oQLjlviSboRyCZa29fKyer5q1SRgLZ33RBtkvGXv/Y68svWS4peavapYyB/qrtfiv7 q6MVS87jSx/XuC8/TRhawZBShk2yodfrLN0Rsr1TS0E6UivOV5JafulyhZqEX5wh1FuIAQVHo5xX nJ7xRwpqTNO3y3ljNlrqk5VPUxrMhXh88VmLZakvP8ZYtzRZZXfVBCWHOsjO37hzZNgA3jhFtgsY rLp5lS5z5ymDPJESiURyegTCVH3B5hdMsH/uyF8/snisiukvS2h30gVuxFt9wVbh2Lrrt+6Kecck LWTgFUOn6da/Nx9yc6VlPPc/zo0QPgBcCRn34/FdvnmXZx58JiJ4XKCkKssA8tF9y1W7XhUOxK6T /+zkbkF4bcYt/vQDPTv7l4yNxOlZTnf/9t2jPl3mg9pv53ePPfyXD49XHPZLh3WdNW87/jat0M2D DQD4QTUP8ZDuRtNG6qQ7F9LjRh5cR/zqESaeUWnZtl+6rWe5apREzvvP8+Kuf6mvyi0TXrxOcSKO BVIJjOvMfzzTvouNj9M39CbNoWUr9V53x4W74qBZVP6lNlCfRxc/2n2EZJZbA/2MScJAKV149MJe diTVxOmtOcUk52PV06MyB/zYAdt9+Xa6akNhWzm9ZFkYIpEysOhl3bU6yY+7IttC0BcSxRcN2drq 87eK8ZB2oGwW2u3bduu+Qpzu5goPGhWl4JaWNY4Vmd/ha3Yoa7YWXLPHNR65dq9rSUj0aMzerfZO XWh02T5x6XaXRkxJBatuwYorV3SbRjo2VDTKeXD6K3a6IlKwvHzy3ifb5LwhGw1QAx7Z94f2LZVw 8dYXG8r8tixH8bvL7IN/5uDuK3jZhZLF6wZ2N8vpximyRcAqTj+4NhKJRHJ6MIEZRKimJphIEAJ6 cUyLBuLKna80zEWERacuEuHo3zoawzYrGIN2/qadEW6LgcIsKT9cd5x0h2jzD5/vd7mkNhKnN8AZ vimnaVZQii0/d8u9vmcvc3M7py8M6dKPXIr+0iRJUwhdeHd2L3nb74f363N6mv5ylzrWg1Sh5V8q mZE4vfdu+yXbqijRvHHdonWyVD2rsLgFLRplUpn5zvm3cyKOatQKVEeqwoStjDybj/7to/sz1nG/ f5wmwzmozW46+KbbT7i9S6ZFuGzOZWqDGkw7SuSkPz2p3LXfUaMPvKwoShzLDBPV/j+yv3xqaFm9 74r7GGS6nH6f799HNIF+W02Rihv2v8Hv0OijILcee6t1DgFzGsZl21/m7k0H3bQxcfqG3tTO6S2B CDbVo17AkkMS7O7oPqK9SB2t88DZHUd0F2Nw95S/OCW628ANfHO+cs6BP3HgxGyexrpUmp2yFaeX Tyls/9Xb6/4sLVPh9JqeqOC4GGdLYds5vW0thQprFEYMEl4MhhHBKrRQOlVHl4xuaoKBnH7P797T koMAP3HPEy4/NJNbH7z7wRG/dgRtt8c9RbZ1RilYjAWnR+V1E3uLhW/zxduIue7OdX4bGEfi9Dqp rso4JnF+U4ZBmuOWTl1xemu5nb5hJ7pndgM2CsNL+xbPNbeuUUVqwyCmvF5kaWEpOxKnJ9g7fO0O KtAgxgis11gXqcmGpm/IRjOnJ34e5DbjNxOiTidXp/31aaHSkr5Zg37dSPvKM69ctOVFYi48ZmGY dkv/0hdMfNHdDIaNU2SLgAXMVpKKEbhGIpFITh8K7GEzollhmGsHXm4EpHXoDk/mtnCdb/Cnb+X0 Qpg+I8QcLIRLyUicniIwIpQ59Zo9r2k/92Za/OnNXqa0fnjF6bvpUyZphQkM0Gf8/RmeigimH2zb lN+dIyHUS+tXri+cr3v3wi0uFFiMMMf/wfF+D7xM2CU+/wH/3ngAejQY7p7/3+cXs7LfV+92td/8 AfzmhDPMTcJsh3BsTJy+oTe1c3qPc5eKEFYyikMdrf08kEZ/etJSdnIPi1CIjmu7r9iOJ0Dl16vj W8Cc++/norPEtaz8J8fpibpKYMmJlV5DYZs4Pe+FQqe6K3O0yTqk9AXkGC3WCl1Bwr8HcnqBSHBL 0fBska3Vg9PjfOW3erNcD3mwiG3n9NXa3hJaCK1/S6euOL0yTnr7Pr01Mk1Z0B9b2jm9PODrEaIU xfLT0PQN2Wjm9MVOgsT7XUbLY37nmFjo4u4Vh5b+QNf5fmD7FNkuYNou5CqRSCSnHwxTDrMjfUn/ FpJkEHF+1kCHS/ysP8TQhwmkL5l2Tt/1UuX5KsSJeyNxehqs7hnJwQJnktMjH1t/4dZ0QujFsGeR +G4gjliZFChQGQpMAFTvppzCBVGi7mTvdMVhOaSzF+H+q+/vBjL7CvS3cB3kZuAVSmhaK3Pq3t+3 96N3PTpwKpUaI0OJ6fe8ufOK61G1zYuxgo8pTZiCuGzcNAtuZJy+oTe1c/quxvT8/zpfiNJNI6cn JxbD2Hx0kIHA0fFIql+rUJlEGbubKLruK3TG4iDHzEGjcnoSYvHp8dhKMY2cHmusOFkQOFpzvylN +2swZHEgp7cYiK0vfRBy/U4mvY7pSQpeFCLBSBU7E1jPym9LC1aCkTi9V1QnvTLjtHTqihee8Ecn TE68DcIeP/xXDh8WoZ3Td81Zdg3F+NzQ9A3ZaOP0ZV+WVqAEKeGn/OUp4QyJ31uvVs5LpraS+RZO 3zpFNghYrCjYeQgYndQA00oikUhOjx8Hq65gkuaIUjTHLIN4tqm9mpURO6pEf13hoGk+m15OjzFU XxoSh5qwgdO3vmVmOD2TsZMBixn9gB8/AJ+wXqqeNZd0HykUIXSlODTFjxB1QrvJksuZx7+aJthY N/6wpZpWc5VWi4ZrdwYAxyAWpaYM0NfKZ5fqCXeCeBBuLkNlW57fXMZjDwPTdnGLUhCXQpnbNj5O 39CbGv3p+8KmG04Xpw9G5bpk20satc58bNhPJqi34jTFzWBUTu8qWzII7fRy+qC5vK67gYijQF58 fvPW8Pu24/4P6R/mT6+3Duvvll56ULFpFDH2m9NLcHpfUYisMoKFy/g5/3rOSJy+2vbqddbAI3Vq nD7Yczuqxw28U+T0Mtk1/3KGlKwFZEPTN2SjjdNHK6u6OIfHuM0LKBprWJVaGLdw+tYpMgSsYdNO GNA4TQlJJBLJ6WsYTUwwA+dsmgNKFCMgYl1cL3iFdm2I/Csoh6qLt/ekOT1nxD6nxx27c4A8xI7M gZxe3mYhp4+tw85AsEeNRV5MW2ZZZrvPHvUbR1VbrEK3rY2osXked8/toezsbjvGrSvTNvQt8qhM v+GKmd5KAxEZeFWO+4zXDp1ATSgdpUnL1cLpiyRoxNg5EE/RaJreNj5O39Cb+lyHE/nMc3p6R669 9iK3L+EoGkUO794+LNKK2/qonN5nrfR3B29by9klOb2cXn8vftL9LwkY02KUKJIZsKIetkd24NvL dhG0XrXHwfmxUXJiTq+NRuL0tt90A62lKZXbOnW9R7a9pfrKlLP+6az+rXY5L5sWzCxdqlr2xzc2 fWRjHJw+2LlsW3D269PFutjA6RumyAYB684s1htGWo/b1Va75CUSieT0XROtCb5lGsYzusS65agB JuNhzoIm8spRhL55oO8Nb5kIsYmzOzNRGIfuLVwhx8Hpw5XfNDn18+mRcjNxOJLGs0wilWYxtDL8 HKpNfkAj2OX0PCvC0baPWCSYL4dFsN5QCQMvtv5hC5Vy6IqKbeT09sL6zezQrRAq4T6nN4dVGyr6 R2qGt/HMc/rG3sRoXnkLsEiMg9MXzwSbuavwqr0sqGKFNjG048RrKo5V5fNVk9sjyxSgclQFqjQJ Tm8DhoVxP9wyuE/ZUW2BxdXnyeVP9peCet9InF4d8tzQc6sRbBycvnvQDdcLIRJv7NTTwuk1EJWz NVgV3i7nYSnqni7gqJnYctPS9JGNsXJ6HkrihExOAN6SbKd1aNsU2c7pzZUxqCYSieT0Eznq0fcw 49KdVOHVMRTGFErZuGsqpTPGqCqqWjmL0/AVv/wIqfzafdIyQuz3H8jpqZ8jhIYmaO5AGzpV95g4 vW21oecbldOrGeiG8JAJX5R4tvtFUi1CN2PKocsfuARiMaDj7HJ6MRnlkeOqXeJQf4SGnqzP57Sa 7LXLTBXCFC4bFEiNnL5aiUU79jk9kjTBKiV4gzl+5jl9e29CFtlYgvzRucrMODg9BR7Gwxtq4nxS +PXN/YTHQUmV2DAodWVSSCU2hQcTzslx+tD0n/63p0+C01vT6gL9TeTGK3IeUhHbx9GvIucayPEv 3Z5iheldI3F6HyfWat34dPZj4vSO3612C+Cm7Z166pwevKI/ABKJRjkPTm8RUp0+ZMtQa9M3ZGPq nN4wFQqUid/ifF57QqozCVqmyHZOHyufOL4skUgkpx8KvrCVHqgcu8FUbWDlPmj09G91LgeVcDl9 j0oM8UKdaewQGifputtVKTETmzsRO6ZwaunuJsJ9fmAfrjXzD5tvQvU4Ctvn9DiKFOykxBusDagY TZMxV1kYSMEc6Vg0RN+c6sDjkTi9EVYxyyX/CGL8W3EFHNSDthnIjIKwGLRzeiM7qmeS4FWP3fL0 NX/YMiv/3WdRBHnwau6zvFmEOLwyNsbxoTcBaCkGa7ZdKQjpcnpAlcqJdTTc2s6GKluyupOoBMtB +FrQvlWLLtYAK4F2vksM6Ox9AEXdSsHWQLwqThZq4fQyTHjUpLcTHh7Vmhgb6HN6De0wCtXCy8iL yOpA20JxybW0E8cuhXZOPzO9yUF4ZUmM5egvJEGFj8Tp1VKRSYs64RIs/zqDqMoARak+orpQZ1Lq SMrG8+l1HxSEqz3xJjwW0rpntauSb72Oo+lLBDy11PwUvzklhW5Ie2GJYjlanhuMpu92BLXtlnZn 4EKJeHZVX+3hOVZ2pbOreFyd6FAjcXryVrzODE36gibTH8fE6YmHnsu8QBfALcSlc7V36mnh9JZ2 hiwLQlTbsTNKbd+Co7ca5Tx8b3R2DeFxZ2eRVZoUDLi16RuyMXVObzQ29ciqSVC/UKUEXgQfD6lS K/m0ttQuuptxu32KbOf0eT59IpGcvhV0DFRWjhvvBlKfGDfjHEN86/YTb+9/Sd6AFXFwa0N2/3uN jpgwsZVPb1QE1BEu6H58gAlpHvjNqcIaSzRuuHhwtZE0vtTDIxYzGInT03b7d+AleyJU71Jkrxv1 m1MUPFiF9Ukkjkwob/Us/sS1NL48Ynbsqk6tfCx7orbRLzNKVaWg7LhXvMhEZY7vsmSLqKj2ss9V notquQVOUC7a2biO+/8dR0nfyOmD+7LUx15JM6KJrV+lwFJPIeqWmDEBV/pIUy8ZLqnhPe2cfmZ6 k/MuLGCisEjtqHtkUcCBIto/HZVvmOqyNJ3gm1PWvVUOSwNVIkoBKRtEt1owRARDhMUD48AUOb2V P6WmIQJ5GqmwgJEbOpCnytlGW+s+wiOr8w6dVz1rTCufLrJ53e9T/+pUv/XERsqFiSKFUSEalMfF mDg9Ha0VV3mRnbjW6m61d+pp4fTAF5yQdN9CX9Ao5/HNKX0/vp8ltfhqXkPTN2Rjypw+nHzMEc4z 6H7u0OKhP/jwotTlSVo0feMU2c7pnQ+W35FNJJLTt8J8UA59r+z4FL00Lib7CaZtikATDN1Ji/fh QLJLkeZbOX2PjuD0xVEYw5aTYZ/7lodQSc4Y2jl9cBcKm/LVKtNw9WxMCe6q9rJ0qYDiU9KrMRUy sb9+UdI7qHsgWfc6OSkR2jlZxVPNrPRnKr/5odqxG/+WyPip9pg5fUNvIt6EnBqveFJ9amFJRqM8 zG0asSYY1J/4ykCXfeyQ7U6EqM9ZC7m1ErYKjbL0EQMXLSy98qivYBfSH20+jh7djnZOr84tF2ko VHtZdTR06nEBCzeIeVddq81yzgQqBWPUmLIxXTBGER7tS2fR0L5jmSLBhjQywBadBCiRSE7ftP/J qdXxGabZg+D0sx/By8uevzjBpgUVp09MI5huNIdGGczpN6XeVK1w7FLg1eDLppumYGC9XZbmmHnK 4ziGcvYgOP0m2EYJVm52Vx8DYQ4q27sTiURy+plAcnoUgfW/XLx1ZwOnT1BxRaMUk0UCf0Ve+eeE M8YmCCpeDt+cxGw5LZt5cHo65uT0sweJckY+Tm+Xy8ZdkkQikZze/jMOmptCSdFN3pz2+KaIJ2ZS 6sKRY1MDbwoLG07S9upQHPjIaxwcPqvgkCgjA4+7TbCNEhyuhvn8JBKJ5PSJRCKRSCQSiUQiOX0i kUgkEolEIpFITp9IJBKJRCKRSCSnTyQSiUQikUgkEsnpE4lEIpFIJBKJRHL6RCKRSCQSiUQikZw+ kUgkEolEIpFITp9IJBKJRCKRSCSS0ydeXv/yx5/4+FRSeOF/XijXS0+9NAMZzk8mRYVru02hyO+9 9Z7CvvPaO1NP6t033/XdpTdfenOGi/DuG+9GESZXWNn2FdhyPXXfUxtL2yVe2fDKi4+9OJqcb9pQ Xa8991p+diqRSE4/GEaH6/a+bsGRC2Ymu594/xNvvfLWB+99sFFU7kE/edCOX7fjsLvvv/2+svzv h0OHV5/k9BX3cu3xnXuMO7cJs11U+CE/e8gUU5v9vQkeuP4Bhb3z5DuH5YeI4kMTJ/LcmucO/umD S71dt891Ef7w/Iev3v3qE//4xEN/7lB/r9/veql1H0SgL9/h8upaee3KkYqw7OJl3vvR0z866cJe ucuV0e57fe9eG4u4Jo76zaO2+aJtRpPz2Y13Xn9nrAuPzT9rc/XgO8fX73v9gNuJRCL19Bdvc7Fh Yv0D62cgu/ddfp93LT578UZRuXN/Ya7PsA+7e9FWFykLRf7EnP7Y3zt2w0MbXlj3wrhzm1Dhqtpl JTZ1Tj/7exM8dNNDW37elsMI8RsvviEzZ//L2RMncvKfnyzaLUfc8sSyJ15/4fUIx483+8zNdv+O 3ef+4tw9v2tPceZ81Zyn7386Iiw9f6nALT5nC3mI64odr5hOTt9QWIsWJXXJZHL6jZLTtzf97Ma+ P7hvTBnjgMFt9YLVB/3UQbrMhlUb6tuJRCI5PbeQzT9789P/7vTk9O1o5/Sn/c1pM5yxxM7ftPPM c/q6N80CNHJ6rH2Xb9llAJG68SEpxL9LL1gqtUN//tCK0+vU9ZPj4PQNQOiT039acvrApszpq36n P/qdSCSS09c465/PYtT7pK6NT694etlFyzByqgLet/0InHFXXLVi0WmLqFXef+f9COegUhSoC45a YDC68cAb/S5XRPODD4AUuu7RQjhURMiLj7/47OpnS07uOuOuldesrPwKPO4RSXWNoULYQ8Nhxksx FYkrhayuWbimck986+W3InvPP/J837pabuFtysI/ofwrY6NyehEeue0R9XnPhfc8tuQxWapUMgii qlt9y2qMZ+0da/3u+0BL4e5z7nZRskZB6nb5+JvqSmEfvOFB7hMD3TTNEKr0sbsfmwRxlFUVyzF6 xZUrZPWZB5/pR9Moq25etejURfdedu/rH3u9uvvsw8/yiv5/WvbMu6SjZRsEbNZx+pbe9Pza5yt3 f4Ldja8qVIgfopm/l5y75NVnX60SIZkhpSS2uvuxRz8mnH85CTzxT06MmCShn58dv37H/X90/5ai UYRv9hmbkduxcnqCJKvqpKWw7Zxe79DLSNeS85Zogn4E/Wvt7WvlZNW8Vcr42vOv8eGu+pRuXjJG hpdfslxS8la1SxFRf9V2v5X91dGKJefxpY9r3JefJgytYEgpwybZ0OsNHd0Rsr1TS0E6UivOV5Ja funy6JjtkI4h1FuIAQVHo5xXnJ7xRwpqTNO3y3ljNlrq8+1X39aUBnMhHl981mJZ6suPMdYtTVbZ XTVByaEOsvM37hwZNoC3j2CNAgYGUl3mzlMGeSIlEonk9AiEqfqCzS+YYP/ckb9+ZPFYFdNfltDu pAvciLf6gq3CsXXXb90VP4tJWsjAK4ZO061/bz7k5krLeO5/nBshfAC4EjLux+O7fPMuXQbpcYGS qiwDyEf3LVftelU4ELtO/rOTuwXhtRm3eHEM9OzsXzI2EqdnOd3923eP+nSZD2q/nd899vBfPjxe cdgvHdZ11rzt+Nu0QjcPNgDgB9U8xEO6G00bqZPuXEiPG3lwHfGrR7RvlIw6v+OkO3b42h1CQhYe vbAbB3fBs7t5qFxj5VBhz/+v8yOO2iAADQI2mzh9Q2+Kwlbqve6OC3fFQbOo/EthUZ9HFz/afYRk llsD/YxJwkApjXapkmrh9NacYpLzserpUZkDfuyA7b58O121obCtnF6yLAyRSBlY9LLuWp3kx12R bSHwoyJeii8asrXV528V0k47UDYL7fZtu3VfIU53c4UHCa0U3NKyxrHS73b4mh3Kmq0F1+xxjUeu 3etaEhK9CbN3q71TFxpdtk9cut2lEVNSwapbYO3dbRrp2FDRKOfB6a/Y6YpIwfLyyXufbJPzhmw0 QA14ZN8f2rdUwsVbX7ztl27rt2U5it9dZh/8Mwd3X8HLLpQsXjewu1lOt45gDQJWcfrBtZFIJJLT gwnMIEI1NcFEghDQntrhSgNx5c5XFsVqAf2rCEf/1tEYtlnBGIRXIdwWA4VZUn64MD/R5h8+3+9y SW0kTm+AM3xTTtOsoBRbfu6We33PXubmdk5fGNKlH7kU/aVJkqYQuvDu7F7ytt8P79fn9BTS5S51 rAepQsu/VDIjcXrv3fZLtlVRonnjukXrZKl6VmFxC1o0yqQy853zb+dEHNWoFaiOVIUJWxl5Nh/9 20f3Z6zjfv84TYZzUJvddPBNt59we0Qo1obL5lymNqjBtKNETvrTk8pd+x01+sDLiqJb53O+cg5a Jp/r7lyn0shSLD9kT4g6x978fuKeJxAvRVPk7vQvwhG/doR84jfFr8kGzRYBmy2cvqE3tXN6juwE m+pRL2DJUV12d3Qf0V6kjtZ54OyuDt3FGNw95S9Oie42cAOftjvwJw78pAcKnfkPZ0rNTtmK08un FLb/6u21DnedqXB6B6Hs8/374LgYZ0th2zm9bS2FCmsURgwSXgyGEeG8/zyvUDpVR5eMbmqCgZx+ z+/e05Ljhv1vIMkuPzSTWx+8+wEBpu32uKcoXHVGKViMBadH5XVne4uFb/PF24ipv5Ql8UicXifV I9jcJM5vyjBIc9zSqStOby230zfsRPfMbsBGYXhp3+K55tY1qkht6IzK60WWFpayI3F6gk0XoAKN DIzAeo11kZpsaPqGbDRzeuLnQW4zfjMk6nRyddpfnxYqLekboOjXjbSvPPPKRVteJObCYxaGabf0 L33B4BPdzXjYOoI1CFjAbCWpGIFrJBKJ5PShwB42I5oVhrl24OVGQFqH7vBkbgvX+QZ/+lZOL4Tp M0LMwUK4lIzE6SkCI0KZU6/Z85r2c2+mxZ/e7GVK64dXnL6bPmWSVpjAAH3G35/hqYhg+qEWMuV3 50gI9dL6lesL5+vevXCLCwUWI8zxf3C83wMvE3a3zmn7IgW0T0jMQ2zEFX/iDFCZR6TmChJsbt76 C7dml2gRsNnC6Rt6Uzun9zh3qQhhJaM4VA/t54E0+tOTlrKTe1iEQnRc233FdjwBKr9e7WIBc+6/ n4vOEtey8p8cpyfqKoHrQrixNRS2idPzXih0qrsyR5usQ0pfQI7RYq3Q9abAvwdyeoFIcEvR8GyR rdWD0+N85bd6s1wPebhs+8vaOX21tr/vivuE0Pq3dOqK0yvjpLfv01sj0xbh/bGlndPLA74eIUpR LD8NTd+QjWZOX+wkSLzfZbQ85neOiYUu7l5xaOkPdJ3vB7aPYO0Cpu1CrhKJRHL6wTDlMDvSl/Rv XbDZBQYR52cNdLhE0fpDDH4mkL5k2jl910uV52sodNs5PQ1W94xkIQo4w5we+UBb6YTQi2HPIvHd QByxMilQoDIUmACo3k05hQuiRN3J3umKw3JIZy/C/Vff3w1k9hXob+E6yM3AS/t267x7giE9mRBc rfx71j+d5d9q0jXDdevW9H/Ajx/QjUBZpYpaBGwWcfqG3tTO6bsa0+KVpNqnkdOTE4thbD46yEDg 6Hgk1a9VqEyijHGLeHTdV+iMxUGOmYNG5fTMUBafHqdEFzi9nB5rrDhZEDhac78pTftrMGRxIKe3 GIitL31Q4up3Mul1tx57qxS8KESCy1/sTGA9K78tLVgJRuL0XtH1tBHCjNPSqSteeMIfnTA58TYI e/zwXzl8WIR2Tt81Z9k1FONzQ9M3ZKON05fdO1qBEqSEn/KXp4QzJH5vvVo5Lxl5SuZbOH3rCNYg YLGiYOchYHRSA0wriUQiOT1+HKy6gkmaI0rRHCNbeLapvZqVKUuoEv11hYOm+Wx6OT3G0H2KyVgc asIGTt/6lpnh9EzGTgYsZnR0Fp+wXqqeNZd0HykUIXSlj971KMWPEHVCu4nIcubxr6YJNtaNP2yp ptVcpdWi4VqdARrqXCn8W82IiuxdJqeG6b9BwGYPp2/oTY3+9H1h0w2ni9MHo3Jdsu0ljVpnPja8 BSbYnUzfLEFuBqNyepclUKj5p5HTB83ldd0NRBwF8uKLVehtx/0f0j/Mn57oDuvvll4ks9g0CKHL b04vwelDLOWTESxcxs/513NG4vTVtlevc3jRSJ0apw/23I7qcQPvFDm9THbNv5whJWsB2dD0Ddlo 4/TRyqouzuExbvMCisYaVqUWxi2cvnUECwFr2LQTBjROU/XtRCKRnL4wLRPMwDmb5oASxQiIWBfX C16hXRvi+f99PuVQdfH2njSn54zY5/SMxd05oHim0q8M45fyNgs5fWwddgYCrxUWeTFtmWWZ7T57 1G8cVW2xiiPMtBFVN8/j7rk9xefePBdrgMq0DX2LPCrTb7hiprfSQEQGXnyFWzh9aJ0rC48loolN zhum/wYBmz2cvqE39QvLiXzmOb1VFtfeM//xzPYlHEVjeFUNhH29xW19VE7vs1b6u4O3LVDtkpxG Th8iyibW/5KAMS0EzAaVbgRr0WF7ZAe+vRzqhdar9jg4PzZKTszptdFInL67FwUs5imV2zp1vUe2 vaX6yhQmuP6tdjkvmxbMLF2qKlky2dj0kY1xcPpg57JtwdmvT5etUA2cvmEEaxCw7sxivcG843G7 2mqXvEQikZy+a6I1wbdMw3hGl1i3HDXAZDzMWdBEXjmK0DcP9L3hLRMhXD66M5Pv5oTuLVwhx8Hp w5XfNDn18+lR2zITY8PdZ5lEKs1iaGX4OVRO6kAj2OX0PCvC0baPWCSYL4dFsN5QCQMvtv4WTh+7 D59c/mTXdkyzSOPboNJrELBZxekbehOjeeUtwNo+Dk5fPBNs5vZ7goUllWGs0CaGL7aGV9VAzJs7 r3y+anJ7ZJkCVI6qQJUmwent+LQw7odbBvcpO6otsLj6EM6+A57eNxKnV4c8N/TcagQbB6fvHnTD 9UKIxBs79bRweg1E5WwNVoW3y3lYirqnCzhqRsjVu13d2PSRjbFyeh5K4oRMTgDekmyndWjDCNbO 6WOu1BknipRIJJLTI1v0Pcy4dCdVeHUMhTGFvTjumkrpjPnXVlS1chan4St++RFS+bX7pGWE2O8/ kNNTP0cIDU3Q3IE2dKruMXF622pDzzcqp1cz0A3hISMyNWf32e4XSbUI3Ywphy5/4BKIxYCOs8vp xUSd+UtU7RJHvyM09GR9PqfVZG+6fG80SjWfOZs5tGsNnL5BwGYPp2/oTcgiG0uQPzpXtTEOTk+B h/HYvTpxPin8+uZ+wuOgpEpsGJS6MimkEpvCgwnn5Dh9aPpP/9vTJ8HprWl1gf4mcuMVOQ/mF9vH 0a8i5xrI8S/dnsKxzbtG4vQn/OEJWq0bn85+TJze/vJqtwBu2t6pp87pwSv6AyCRaJTz4PQWIdXp Q7YMtTZ9QzamzukZlkOBMvFbbOu3J6Q6k6BlBGvn9LHyiePLEolEcvqh4Atb6YHKsRtM1QZW7oNG T/9W53JQCZfT96jEaKcwPBo7hMZJuu52VUrMxOZOOjOmcOSvu4lwnx/Yh2vN/MPmm1A9jsL2OT2O IgVniuEN1gZUjKbJmKssDKRgjnQsGqJvTnXg8Uic3girmOWSf4ql+LfiCqwBHuRDIjMKwmLQzumN 7KieSYJXvV16PH3NH7bMyn/3WRRBHrya+6w9W0IcXhkb4/jQmwC0FIM1264UhHQ5PaBK5cQ6Vlpt Z0OVLVndSVSC5SB8LejIfIsu1gArAelPF6c3w2EwxEN5tZqmMbfZRcDxo4HTNwjYrOL0Db3JQXhl SYzlKA5JUOEjcXo1UGTSok64BMu/vgNQZYCiVB/hlIU6axdHUjaeT6/7aCau9sSb8FhI657VrkqW Fh3HuUYlglYOZ+hJc3qQQjekvbBGpHK0PDcYW1S7HUFtu+U4TgYulMhe1eqrPT5XVHals6t4XJ3o UCNxeqoE8fVTQk4+NZn+OCZOTzz0XOYFugBuIS77p9s79bRweks7Q5YFIaptB7xS27fg6K1GOQ/f G+O5hvD4jQfcSFZpUjDg1qZvyMbUOb3R2NQjqyZB/UKVEngRfDykSq3k09pSu+huxu32Eayd0+f5 9IlEcvpWYGBUVvv/yP7dQOoT42acY0j7cvuJt/e/JG/Aiji4tSG7/71GR0yY2MqnNyoC6ggXdD8+ OYQ0D/zmlNm6KKSLGy4eXG0kjS/18IjFDEbi9LTd/h14yZ4I1bsU2etG/eYUBQ9WYX0SiSMTyls9 iz9xLY0vj5gdu6pTKx/Lnqht9MuMUlUpKDvuFS8yUZnju4oii6iodpcpVp5pLqeF00etarvul8Ji Jmvg9A0CNns4fUNvct6FpWBsDEVqR90jiwIOFNH+6ah8w+iPLU0n+OaUdW+VQ7DUrESUAlI2iG61 YIgIhgiLB8aBKXJ6K39KTUME8jRSYQEjN3QgT5WzDdKm+wiPrM47dF71rDGtfLrI5nW/T/2rU/3W ExspFyaKFEaFaFAeF2Pi9HS0VlzlRaTdWt2t9k49LZwe+IITku5b6Asa5Ty+OWXdG9/Pklp8Na+h 6RuyMWVOH04+5giaiO4gZvHQN4bwotTlSVo0feMI1s7p2TnzO7KJRHL6VpgPyqHvlR2fopfGxWQ/ wbRNEWiCoTtp8T4cSHYp0nwrp/L26XL64iiMYcvJsM99y0OoJGcM7Zw+uAuFTflqlWm4ejamBHdV e1m6VEDxKenVmAqZ2F+/KOkd1D2QrHudnJQI49txpSBFNtpPj24RsFnH6Rt6kxog5NR4xZPqUws+ EjTKw9ymEWsVTv050M2J4GGHbHciFGI0myG3VsK+4xNl6SPkihaWXnnUV9gLrj+yQUWPbkc7p1fn losW0qo9Vh0z36nDtckg5l11rTbLOROoFIxRY8rGdMHmE8Kjfe1MbWjfsUyRYEMaGWDwTAKUSCSn b9r/5NTq+AzT7EFw+tmP4OVlz1+cYNOCitMnGsHkoqpdtMtT5fSbQG8K8Egpe6l5Nfiy6aYpPFhv l6U5Zp7yOI6hnD0ITr8JtlGClZv9c+/v25s5qGzvTiQSyelnAsnpUQTW/3Lx1k1OP24w8kSFFxf2 RAvwV+SVf044Y2yCoOLl8O0sEVtOy2YenJ6OOTn97EGinJGP09vlsnGXJJFIJKe3/4yD5qZQUh4y vDnt8U0RT8yk1IUjx6YG3hQWNpyk7dWhOPCR1zg4fFbBOaFGBh53m2AbJThcjcmnK/H/Z7cOBAAA AAAE+VsvMEJRBE4PAAA4PQAAOD0AAOD0AACA0wMAAE4PAABODwAAOD0AAOD0AACA0wMAgNMDAABO DwAAOD0AAOD0AADg9AAAgNMDAABODwAAOD0AADg9AADg9AAAgNMDAIDTAwAATg8AADg9AADg9AAA 4PQAAIDTAwAATg8AADg9nNi1A4jFwTiO4xNCA4FCqELYBIiIREAFwQAIQgGiABU0gAgERSGKJCCE kqAQJE4RlBWiQqie+7tXc7n3HK57b+P3AY/KY8+f+NYGAAAA8B5o+v0Pj8eD/QnA9Xr99nS/39mb bLfbjz0PhwPTJDqsenAagn5HTdbr9ce2l8uFAQAAgDabXlEUWZYjkYjX6w0Gg6lUajgcss80m02r 1SqKotPptFgs4/GYgW5VKpVMJvOvf5vN53NBEMxmM8dxb+zvRCLhdrtpz2QyyTTpeDzSwelrQhc5 mUyYSm+jJj6fz2az0batVotpEAAAAJq+VqvxPB+NRtvt9nQ6HQwG2WzWZDLFYrHz+cx+slqtjEZj Op2mNYWg3+/vdDpMt8DhcBgMhq/5n5sS/O2hudvttNP0y+VSkqRut8teFYvF16bX5ahJvV5H02sU AACg6RuNBsdx+XyevZrNZjzPBwKB2+3GnqrVKn243++rT+Do+kY8LBYL9YYMmv4vjUYjuhgqeDQ9 AAAAfGnTK4rC87woip8+elsoFDiOK5VK7EmWZbVOAND0aHoAAAD4/02fy+V+rRDVZrOhd+12O61P p5MkSR6Ph14JhUK0jsfj7Pd6vV44HHa5XIIg0KJcLu/3e/b0nZ0zgFCviaI4VgIJCFBQAalSoiAl VQAlogqgApRCFUCUiIAgigAlCQgFCICEiKIQAiAVfD+GJ5t9X4A/3gW78+beOXfmrneeOXdhG+Vy 2Wq1Etzj8XS73efzyTg2nU4Jjkmo1uu1GKnX62Jks9mIkXQ6TVNgtVplFYPBEAqFhCgINRFdAUaj 0WazJZNJegCI//4lUywWLRYLLsiHwCbdRXzaYDCQ8JxOp0QiQSOB1+uF34gJ3yT1afI4yUssSqbc jSBl1uv1Pp+PXX2PsFqtcrmcy+UCEok0Gg20Up+oKpUKqJDZgKpQKLCf0oEKo/Hxc6Tf79vtdgTr mUzmer2+x3y9Xu12G8xkGo1GYatMFo6dTud7oonN53MiUCdmszmVSiEH/+W13W7ZDWCQYyQSmc1m Mpy+1WqBQUIiv8nyZ30+n1kXYDjWarX/3W1cAoEAYPgbEUGoq1+cXmZLReVTwBwTE7LZLFco0iPU bgQUwh46WMLhMKVLzU8mE5mtvlwuIKfOOaZYLLbb7aQJFPx4PCYghWEymYLBILl/tlWgrOOmjtqj Akej0T/K6RVTTDHFFFNM4fSQPF7Sy+Xyrwk6nY4J/MuLx+PBCx6Ww68wJ35eLBZ/eaHk+fn5gcHg BVOE/+FVKpWkTwVYAksfDgdoBNoPmgj9fr9gWvv9nuCIvOE30nxGNBqN2+2WmBzs1uFwqNVqWBod vSiIUP9z58DTZrOp1WoJC3G53W75fJ7Vj8ej8IWX0+pHKzDq5/v9DpEicjwel2k6ZHWVSgWPB3Ov 1xsOh06nk5iCX36T1H/snAHnsjEQwEUIJCWoTxCAoE8QoApIAVRfIyiQQAoCoD5BKYRIVChEAESA UgjA+/44zjyP9h8Q7MCz67Znuy397rYVFns/IV3cRREYhXTBwePxWC6XI5EIb9cWoDriK6rQwvl8 zufz4KAJmvQK+KNX8i8o2MBwNIuNTqimkE1No9HgYTqdAoXRaBQaNnvOp/Sk0+mAiavVinkpFArU AvsIQtyZnpCSdcI9XV7NdVI8wITO53M1WC6XsVgMkn4+n9hMJhPsgelvTM9A6AwYykDoid3JYblc Lqwr5hpkx5m9Xg+KZReLoPRPb+92O95F4/iNtyNcTTGZHqexVnERl5IZRcClxKsoR6MRh9kIJyqV CotZnbnZbAhRaKRWq7Hsh8PheDxmXP1+3+JqSL3b7bKAOSyXy+Xi8TgD1EhPvpKv14uoGJ+nUql6 vR64P40NwQBrD8fyaqLKMNPzJfrnxYsXL168ePkt02cyGX6kSYV+MyDJhwG3Zt1PEez3e4Cv1WqZ SqhImZ68LPgCbppn+gPbBRgI06vAHML0KhhQC/CS4uPxIH/JAxlfsy4sS2QCyksRGxqHcQNHjIB7 y6BgTWxOp5P+rx9F0pw8uw4qJPZ+zmYzqhM8qAFQiwEkR5gkGiDMHMjhcKAKtBfo1e12Uw18Jkwf nlBTU61WVUNSGc31epUigEiR/Qo1uN/vcLDyugvT6zppNpumB/AJEy3d+3w+6XQabjYPhmFPIwB0 mOkxa7fbRD5QpqOTLXO93W6luF6vuTLu4m372ZtSqaQauN90KexOkdy8GjDFiUSClL9qmCNscM77 /RbNYDBgz8HiarL7qmHpSogoRVC+WCyaiXkJvHVzgBCLoCKbzbIno9tKhDfK9JrIZ4Fpz7148eLF i5ffiGf6ZDLJjzQZ628GJCMxWCwW7kz/n737hZFiCeI4rkmQCBB4gtd4gcWTnIcg0XiCw4AmEDwG 70Agz3t5+n2SSn7pbL2b1Nt9ySG6BOntnZn+M3Pst6t/VcOr6ph48YOSICkQ5rLKK8HAOxqAM5ie wOCkA8hD0h4qha4lqNbpH1ITogKpx5z35MmTteb+/fsECQrzQc37Gaa3JdLntpMcVysOlq/dt1ZT 6VVWBavBULsHx0y/NlEeYv74+nh1ddWXQDy4c6Zfx3KiJqrdCbIQZX3I9k7M8X2MmN4M8Ci/fPmS E304yQf3mt5mrTme7SHTu6F9StepSMKcLD4D2WF6S5q5nt6qaa30AKvsmh9rJ8P5+vVrZj7S+Vev XnWpXpg+A7GFpbxt27Zt2+7Mtm2m58X0k8zjeNsB4MYBiHzO9HQLjqld/m4/f/70bde6QHb1XNH/ ienJQjqrQSVyGlcjO3n9+nV6m9bJi68W425X+fTp02POo5Zea0hrAvHDQQ37GaYPY8VK3QGt6iMF CMXRgwcPuFS1xUrjcdCr2DHTw9PUfPz4MfAdvVaEJXE8z5n+4DmhKlH59u3bkqMoR5Ueeb3Kk9WU nYTSsjtlPskH95poqtcfz3Zn+uGUZipc/Goxq0GV3759W5nentKc6e2frJUc8yormoJRjmFxk2Pn x1goc3xL3VTfilHx8SQ64vPnz2H66PIt+AWoKG/btm3btjuzbZvpabX9SPdwz4g9QDM3J8fknOlJ 1Q98/wigRLr/ir98253ps6XQmR5+KXSjnKZMoDx2TcblyROZ1om/vzTjJT3mPM11pp8Pat7PMH2Q Lvb+/XuVeEuZDsStIU0JFjs3lJlekUHPmb7XdAAVJNr1WgKm50y/Pieu05leBLOy0F5lNZ3pzdjK 9PZDbGggVGEYIlmHkzy/15PZ7kw/nNJMBYD+0swbIVamd6k5069R6Yz4J4lorRVLYZVjdGZletHe ffIFA/yNMbLbtm3btm3bZnoxiOGSbiLnygmqPGd6juF4JbtBor5ZTwoCy7z8MjX02atfnKgXrs2Z fm1OXKMWBQum9WfPnh2fNWf6+aDm/QzTdy81zI2G+927d8oCGZU7ZaZXpvH/ZXrhmz7aBDiJl5gz fZ6THp8tJDfpU41dWc16gOMLRsP0UaILZjDbQkQ0MZrkOdMfzvblTG8qErXS7WymN96+2C4xT21r XF9fK7PO9B8+fOj7HkJyN9P/dbZt27Zt2zbTh8a8GjbheuuuOn+2QL0kCRkyvcQsjpHJfq0keyjw IpWRCpDLM6F+ATWLh5WY+URPaGnI9AIBuWbzUUCkcymtq3XZCYkNTjy1EEcWl7OZfjioeT/D9DZS 1lM4m60TCsUkF6pUM6svOZSZXhlstlkKfKX9kQvlbKaXmyV7BVm9PHr0aM70eU46NZav3UAqEFmZ LqVDv8SLPUaWUfn7+Pz58+Ekz5n+eLYTmJGgbSJ1D4CdrsmUumzX1VANWZ9I+HM203/69GlNaerP /PHjx6KEa1ocsAZPo/mV6WU08pHOqi/Xw/S5BYlhuDPbtm3btm3bNtPLgIGVSczlElkJwO83iW18 h3OmR3g8gg8fPgwx/P79W0Tpjx8/IuQFpjL6JRee5IPQE8Od0IPUMaiIjAelEf4OmZ7cmVe1ygm1 lKQ8/kitS38JbpKzz0iJHM5m+uGg5v0M04MwuyUrBFOu10d5yrVIWV7rE1sZSUN50iscnHWaRYJT LvHTS7boaSGF4gaulYPdA7MxZ/r1OZGFJsmCPCEncZlv3rxZQ7QdKROOqF/ndqYvU1bj5QDHkzy/ 1/PZpl9P//XZGs+ET6bU1VzZ0Exp9EJSTnlKL/HTW5PX6kg3Kl8QQfwamKGr9VegOcHEK9OzFy9e rKG9xGnS4Jwwvb/QqM7uzLZt27Zt27bN9AFQbkhYVm+fgc4QHFUXEAQysA55vZ9wDj/l+Cy7SYQn 8BTRSizogvh+ZQX2/ft33mIpunGDtO7czwIQ1wNkeZcOvKTSTrfeoE1X1q6k6QBLgRPXAQrCH0+A hgZDHkBDILNR5gGFnmsCPqzMh01GIgcOeJKT50CdUskNNafAw03jXjXVHwLl4aDYsJ9hevNGLoKh K1jZrN7c3Pg2AgnMKmqT21WML8lK+mmJsvbKMIGXPQq3Q+aTfkPhdRFwaoxCje5VDTVUNEveIaBe zIN/PTa015UMxzVvS2+qLcfX/XLl/pwYpmUbt33WWkzZ/okVl40UN8uR5krS0qSLqRvhygoyIMne qOe5Ndo9nuTje53l03y2ofO9e/dIg7jYrSvmU2ppLXu9gy0FrWDNKuBOHkkv26pxOVFz+Ws6nmpZ OAXB66qrqTS6deFt38ws+SuQs8jjIet/Xd9DksWbZ0al/xY8gdY5tUWj2y7ogOijou+6S9u2bdu2 bds200eqwSPu7TZSmvg5v/yCPLJYGdeu+cJXXPvz54/mbnOQAxraX3qGnD4351oVUOwIqSwI7oP1 lVcRaT2Ed76NBzXvJ6aPT9QxuroqJVZVt/tllpx+3CutrHk/Lzd9ds0KshR/CRBtqpz9nIBRehUf uxma1Exp6/KH4Qybz7a2DEemyzOub1Hk3F+/fiWu+kKrF40Zu+VT/9Z8Wi07IOuobvZGPHsHz7Nb c3lv/2HvjmNzStP/j7dQRHwngwwWpWJrMFEoIAZswzABjFljMJCxk11rpEOtQYEAsQJTxBK6IVmw LcACEAA6IGZAVVnoFGMWhev3yXNympOTabfZNvnV0/frj+bu/dzP09P/Pud+rvs6AACQ6RGEfJm+ sJk4caL35IASYURERHYvGgAAAJDpYdpQd+ocli5d6nQZL1RU7KQaekV55xsPlcd4H5kEAAAAMj1M ZdA1XCr3L4T79NqYd04Jq75cxyvVcMYAAABApsfbRS0y9R2CtwgHAAAAZHoAAACATA8AAACATA8A AACATA8AAACATA8AAACQ6SEZGRl6EOaRI0fUp8UAAAAAMv3bJTExsXnz5hs2bFi0aJGavqelpRkA AABAps9FZmbmjwG3bt2yQmDXrl0pKSnOuFevXgsWLDAAAAAgyDL92bNnp02b1qdPn5YtW3bu3Dk2 NvbmzZu+NfPnz9e8z+HDh83Pli9fXr9+/bCwMP20gvD69eu4uLg9e/ZY/mRlZelxpwcOHDAAAAAg mDL9uXPnQkJCGjVqtHPnzuvXrys6R0dHK5Hv2LHDPJo0aVKuXLl3PGTZsmWWgzp16hRUplcpvK5Q 1fCWD9OnT9f1LFy40AAAAIAgy/TapA8NDfXWyaSmpipDR0VF+TL95cuXLQ8KPNOPGjWqcuXK2q23 /Hn8+HGbNm1WrVplAAAAQDBl+ocPH65evdo3+W5AIcn0ERERw4cPt4KgLxZat25tAAAAQHCfkb1/ /7726Tt06FBQmX7z5s2fuoYMGeJMvnz5cvbs2Q0bNqxZs2aXLl2OHj26dOlSZ83cuXO9XyPoYpxC oBUrVjgLZsyYcePGjd69eyvut2vXbt++fXr1+PHjMTExtWrV0qdduHDBXIMHD05PT3fGkyZN0jFZ AwAAAII409+5c0eZuFKlSqqz92V6Jenu3bsrhbdo0WLEiBFXrlzJY6ZXDxxF+apVq65du3bLli3O ZP/+/VXzEx8ff/HiRZXyq92kPlbxXV8aHDt2zFwTJkxQ4b6Ot2qspK7bg5IlS2qvXVU0Ko5fsmRJ eHh4qVKltm3b1qxZM/2qs7wVKlTQ9T979swCZs2apfVaPH78eA10MQYAAAAEZaafN2+e8nHx4sV7 9uypZK8ZX6bXjrga3dy9e3f//v2K4GXKlNm6dWteMv3KlSvr1aunXjre/pKK73379jWXttIV1jX5 4MED81CnGqV/81CC183A+fPnLWDTpk16l3L/vXv3nBl1q9RMUlKSuV68eKG/riojAwAAAII40z96 9Eh72NoIV0fLatWq+Xo+nj59WsnYe95U2+Hly5d/8uRJ7pl+zpw5uh9QPY95DB06VLF748aN5qF7 Bl+m1/VoZv369b5MX7duXXNdvXpVa9SC01x79+7VDH3oAQAAUHTr6VW1Urt2bZ2R9QVxn2HDhik6 6/msuWT6MWPGaE3btm19XWtatWql+VOnTpnHgAEDfJleBfelS5d++vSpL9N37NjRXPreQO/STYK5 Tp48qRlVChkAAABQNDO9OFlcNTOWsylTpmiNKnZyyvR6Vc+xUidKDSZPnmweTZs21aRTP5NNNfe+ TK9vDLp166aBL9N36tTJl+nVGKeIZnoAAACQ6dXN5tq1a75JdZ5RLJ46daoFqHu978isOGFd3SFz yvRqQaPtefW30eFXlenr0VHm6tGjh967e/du8+jatas306umX3Xzuq8g0+cGAAAAZPqRI0eq6MU3 OXDgQMVitamxgISEBNXE+9Y4bWouXbqUez29qO+kzrBWr149IyPDmVm8eLHeO27cOHOps02VKlW8 mV5/VHcCzsFWMn1uAAAAQKYPCwvTuVJzbd++XWE6MjJShfXZ8dpXiuOE8kGDBuXxmVPr1q3Tem3P W4BK5NWWXkdsnUbyb968UbWPGlB6M72azbdv396ETJ8LAAAAkOnVmFJNY9RHUjXueopTdHR0iRIl 9GCm27dvm0vJW30n1bwyKipKL6m/ZNmyZePi4py28T5r1qxx2k2KBvo1OTlZg5AADdQJR8vU3r5B gwa6edBPpfnRo0c7zXCcjfnMzExdkprKm4diuvM5xYoV0yAlJWXs2LHOjD5HA90q9OvXT7comtF/ oRkDAAAAisgZWaVhFdarf+WJEydyak/5/PlzBXGtOXPmjNPXMv90TPbQoUNOgx0dh9VtgPPJiYmJ yuVpaWkGAAAAkOkLp4kTJ6rJvbl0mjYiIqJx48YWMHPmTKc9JQAAAECmL6Rq1KihGnpFeaeePj4+ 3vfwVwAAAKCwY59eG/OqpFdHnYoVK6pG33msLAAAAECmf5uoRj89Pd0pwgEAAADI9AAAAADI9AAA AADI9AAAAADI9AAAAACZHgAAAEBwZHpkZGQcPHjwyJEjarNjAAAAwNuV6ZGYmNi8efMNGzYsWrQo MjIyLS3NcgEAAACQ6TMzM38MuHXrlhUCu3btSklJcca9evVasGCBAQAAAEGW6c+ePTtt2rQ+ffq0 bNmyc+fOsbGxN2/e9K2ZP3++5n0OHz5s5rd8+fL69euHhYXppxWE169fx8XF7dmzx/InKytLT6s9 cOCAAQAAAMGU6c+dOxcSEtKoUaOdO3dev35d0Tk6OlqJfMeOHebRpEmTcuXKvSMey5YtsxzUqVOn oDK9SuF1haqGt3yYPn26rmfhwoUGAAAABFmm1yZ9aGiot04mNTVVGToqKsqX6S9fvmx5UOCZftSo UZUrV9ZuveXP48eP27Rps2rVKgMAAACCKdM/fPhw9erVvsl3AwpJpo+IiBg+fLgVBH2x0Lp1awtu AAAA4Izs/fv3tU/foUOHgsr0mzdv/tQ1ZMgQZ/Lly5ezZ89u2LBhzZo1u3TpcvTo0aVLlzpr5s6d 6/0aQRfjFAKtWLHCWTBjxowbN2707t1bcb9du3b79u3Tq8ePH4+JialVq5Y+7cKFC+YaPHhwenq6 M540aZKOyVoQAwAAAJn+zp07ysSVKlVSnb0v0ytJd+/eXSm8RYsWI0aMuHLlSh4zvXrgKMpXrVp1 7dq1W7ZscSb79++vmp/4+PiLFy+qlF/tJvWxiu/60uDYsWPmmjBhggr3dbxVYyV13R6ULFlSe+2q olFx/JIlS8LDw0uVKrVt27ZmzZrpV53lrVChgq7/2bNnFjBr1iyt1+Lx48droIuxoAQAAAAy/bx5 85SPixcv3rNnTyV7zfgyvXbE1ejm7t27+/fvVwQvU6bM1q1b85LpV65cWa9ePfXS8faXVHzv27ev ubSVrrCuyQcPHpiHOtUo/ZuHErxuBs6fP28BmzZt0ruU++/du+fMqFulZpKSksz14sUL/XVVGVkQ AwAAAJn+0aNH2sPWRrg6WlarVs3X8/H06dNKxt7zptoOL1++/JMnT3LP9HPmzNH9gOp5zGPo0KGK 3Rs3bjQP3TP4Mr2uRzPr16/3Zfq6deua6+rVq1qjFpzm2rt3r2aKbh96AAAAUE+vqpXatWvrjKwv iPsMGzZM0VnPZ80l048ZM0Zr2rZt6+ta06pVK82fOnXKPAYMGODL9Cq4L1269NOnT32ZvmPHjubS 9wZ6l24SzHXy5EnNqFLIiiYAAACQ6cXJ4qqZsZxNmTJFa1Sxk1Om16t6jpU6UWowefJk82jatKkm nfqZbKq592V6fWPQrVs3DXyZvlOnTr5Mr8Y4ZPoiCgAAgEyvbjbXrl3zTarzjGLx1KlTLUDd631H ZsUJ6+oOmVOmVwsabc+rv40Ov6pMX4+OMlePHj303t27d5tH165dvZleNf2qm9d9BZkeAAAAZPrc jBw5UkUvvsmBAwcqFqtNjQUkJCSoJt63xmlTc+nSpdzr6UV9J3WGtXr16hkZGc7M4sWL9d5x48aZ S51tqlSp4s30+qO6E3AOtpLpAQAAkBsyfVhYmM6Vmmv79u0K05GRkSqsz47XvlIcJ5QPGjQoj8+c WrdundZre94CVCKvtvQ6Yus0kn/z5o2qfdSA0pvp1Wy+ffv2JmR6AAAAkOlzocaUahqjPpKqcddT nKKjo0uUKKEHM92+fdtcSt7qO6nmlVFRUXpJ/SXLli0bFxfntI33WbNmjdNuUjTQr8nJyRqEBGig Tjhapvb2DRo00M2DfirNjx492mmG42zMZ2Zm6pLUVN48FNOdzylWrJgGKSkpY8eOdWb0ORroVqFf v366RdGM/gvNWBEBAAAAzsgqDauwXv0rT5w4kVN7yufPnyuIa82ZM2ecvpb5p2Oyhw4dchrs6Dis bgOcT05MTFQuT0tLMwAAAIBMXzhNnDhRTe7NpdO0ERERjRs3toCZM2c67SkLKQAAAIBMX6NGDdXQ K8o79fTx8fG+h78WdgAAAAD79NqYVyW9OupUrFhRNfrOY2UBAAAAMv3bRDX66enpThEOAAAAQKYP GgAAAACZHgAAAACZHgAAAACZHgAAAACZHgAAACDTIyMj4+DBg0eOHFGnHQMAAADI9G+XxMTE5s2b b9iwYdGiRZGRkWlpaQYAAACQ6XORmZn5Y8CtW7esENi1a1dKSooz7tWr14IFCyyYAAAAgEx/9uzZ adOm9enTp2XLlp07d46Njb1586Zvzfz58zXvc/jwYfs1y5cvr1+/flhYmH5aAUlISFi2bJnlT1ZW lh5Ye+DAAQsaAAAAINOfO3cuJCSkUaNGO3fuvH79+p49e6KjoxXHd+zYYR5NmjQpV67cO+KRe8iu U6dOQWX6Z8+elS1bdvr06ZYPeruuZ+HChRZMAAAAQKbXJn1oaKi3SCY1NVUpPyoqypfpL1++bHlX oJk+KSlJl3Tp0iXLn8ePH7dp02bVqlUWNAAAAECmf/jw4erVq32T7wYUnkz/xRdf6NOsIOi7hdat W1sQAwAAAGdk79+/r03xDh06FGCm37x586euIUOGmGvTpk1t27YNDw9XKb9uLQ4dOuRbI69evapQ ocLYsWM1XrFihbNgxowZN27c6N27d0RERLt27fbt26dXjx8/HhMTU6tWrS5duly4cMFcgwcPTk9P d8aTJk3SMVkLVgAAACDT37lzR4G4UqVKqrP3ZXrF6O7duzds2LBFixYjRoy4cuVK3jO9euAoplet WnXt2rVbtmzJ3jLXzYNy+cmTJ48ePfr73/9e6VwzY8aMyV4jKvHXpPK6xkrquj0oWbKk9tpVRaPi +CVLluiWoFSpUtu2bWvWrJl+1XFe3QPoX1AVvgXMmjVL67V4/PjxGuhiLPgAAACATD9v3jyF4+LF i/fs2VPJXjO+TK/ArUY3d+/e3b9/v9q9lylTZuvWrXnM9CtXrqxXr57a6Xj7XerYq1L+y5cvnZk3 b96oKY3i+7p168zjT3/6U7Vq1fSquZTgdQbg/Pnz2Zv9epfO7N67d8+ZUbdKzagK31wvXrzQX1eh kQUrAAAAkOkfPXqkDWztgqsMRhna1/Dx9OnTisXew6baCy9fvvyTJ0/+a6afM2eObglU0uN7DpRi 95///GfzUGGML9OLLkax3sST6evWrWuuq1ev6l3qwmmuvXv3aqaI9qEHAAAA9fQqWaldu7bOyPpS uM+wYcOUm/Vw1twzvQpptExF869fvzaPcePGaX7u3Lnm8be//c2X6U+cOKEZld/4Mn3Hjh3Npa8O tGbo0KHmUjGPZlQsZEUQAAAAyPTiBHEVzFjOpkyZojWq2Mkl02uBHmU1atQoDSZPnmweo0eP1qSv W7yOyfoy/V/+8hd9G6D6HF+m79Spky/TDx8+vChmegAAAJDp1c3m2rVrvkltnysTT5061QLUvd53 ZFacpK5zrrlkerWg0fa8ErmO1apS/+DBg94H0+rtOrRqHqrS8WX6999/f9CgQZaNTO8DAAAAMv3I kSMHDBjgmxw4cKAysXrUWEBCQoIK4n1rFNNzeQ6U74ys+k7qDGv16tUzMjKcmYsXL+rtrVq1Mg9t 6nszve439Os///lPMn1uAAAAQKYPCwvToVJzbd++XXvqkZGRKqzPzvS+UpzFixdrxreDnkumFyV1 vaVHjx7m+uSTT7x3DmpTozY43kw/ffp09cb5z3/+Q6YHAAAAmT5HakypjjHq+N60aVO1io+Oji5R ooSeynT79m1zqSt837591bwyKipKL6njpKJ2XFxcVlaW/Zo1a9Y47SZFA/2anJysQUiABqqx0bKn T5/qL2rmt7/9bc2aNRXTnVuF9evXW4AuRgvMQzHd+ZxixYppkJKSomdROTO6D9FAn9mvXz/dpWhG /4hmDAAAACgKZ2QVhVXoov6V6jOTU3vK58+f6zlTWnPmzBmnr2WBSE1NVZ29avqdHvnK4v/61780 TktL0/jvf/+7AQAAAGT6wkkt6k+dOuWr49c3Bqq5d0qAfve73+nRVFY4AQAAAGR6lePr2bQ///xz dh2/An1sbKy9FQAAAAAy/T/+8Q9VzP/f//1f48aNw8PDq1SpokOx6n1pAAAAAJn+LfLq1at///vf zjNrAQAAADJ9EAAAAADI9AAAAADI9AAAAADI9AAAAADI9AAAAACZHnqIlR5Ve+TIET0K1wAAAAAy /Vv3tNrmzZtv2LBh0aJFkZGRaWlplgsAAACATJ+ZmfljwK1bt6wQ2LVrV0pKijPu1avXggULLMgA AACATH/27Nlp06b16dOnZcuWnTt3jo2NvXnzpm/N/PnzNe9z+PBhM7/ly5fXr18/LCxMP60g6Mmy cXFxe/bssfzJysr64IMPDhw4YMEEAAAAZPpz586FhIQ0atRo586d169fV3SOjo5WIt+xY4d5NGnS pFy5cu94yLJlyywHderUKahMr1J4XaGq4S0fpk+frutZuHChBRkAAACQ6bVJHxoa6q2TSU1NVYaO ioryZfrLly9bnhVgph81alTlypW1W2/58/jx4zZt2qxatcqCCQAAAMj0Dx8+XL16tW/y3YBCkukj IiKGDx9uBUFfLLRu3doAAACA4D4je//+fe3Td+jQoaAy/ebNmz91DRkyxJl8+fLl7NmzGzZsWLNm zS5duhw9enTp0qXOmrlz53q/RtDFOIVAK1ascBbMmDHjxo0bvXv3Vtxv167dvn379Orx48djYmJq 1aqlT7tw4YK5Bg8enJ6e7ownTZqkY7IWxAAAAECmv3PnjjJxpUqVVGfvy/RK0t27d1cKb9GixYgR I65cuZLHTK8eOIryVatWXbt27ZYtW5zJ/v37q+YnPj7+4sWLKuVXu0l9rOK7vjQ4duyYuSZMmKDC fR1v1VhJXbcHJUuW1F67qmhUHL9kyZLw8PBSpUpt27atWbNm+lVneStUqKDrf/bsmQXMmjVL67V4 /PjxGuhiLCgBAACATD9v3jzl4+LFi/fs2VPJXjO+TK8dcTW6uXv37v79+xXBy5Qps3Xr1rxk+pUr V9arV8/bS0f9JRXf+/btay5tpSusa/LBgwfmoU41Sv/moQSvm4Hz589bwKZNm/Qu5f579+45M+pW qZmkpCRzvXjxQn9dVUYWxAAAAECmf/TokfawtRGujpbVqlXz9Xw8ffq0krH3vKm2w8uXL//kyZPc M/2cOXN0P6B6HvMYOnSoYvfGjRvNQ/cMvkyv69HM+vXrfZm+bt265rp69arWqAWnufbu3asZ+tAD AACg6NbTq2qldu3aOiPrC+I+w4YNU3TW81lzyfRjxozRmrZt2/q61rRq1Urzp06dMo8BAwb4Mr0K 7kuXLv306VNfpu/YsaO59L2B3qWbBHOdPHlSM6oUsqIJAAAAZHpxsrhqZixnU6ZM0RpV7OSU6fWq nmOlTpQaTJ482TyaNm2qSad+Jptq7n2ZXt8YdOvWTQNfpu/UqZMv06sxThHN9AAAACDTq5vNtWvX fJPqPKNYPHXqVAtQ93rfkVlxwrq6Q+aU6dWCRtvz6m+jw68q09ejo8zVo0cPvXf37t3m0bVrV2+m V02/6uZ1X0Gmzw0AAADI9CNHjlTRi29y4MCBisVqU2MBCQkJqon3rXHa1Fy6dCn3enpR30mdYa1e vXpGRoYzs3jxYr133Lhx5lJnmypVqngzvf6o7gScg61k+twAAACATB8WFqZzpebavn27wnRkZKQK 67Pjta8UxwnlgwYNyuMzp9atW6f12p63AJXIqy29jtg6jeTfvHmjah81oPRmejWbb9++vQmZPhcA AAAg06sxpZrGqI+katz1FKfo6OgSJUrowUy3b982l5K3+k6qeWVUVJReUn/JsmXLxsXFOW3jfdas WeO0mxQN9GtycrIGIQEaqBOOlqm9fYMGDXTzoJ9K86NHj3aa4Tgb85mZmbokNZU3D8V053OKFSum QUpKytixY50ZfY4GulXo16+fblE0o/9CMwYAAAAUkTOySsMqrFf/yhMnTuTUnvL58+cK4lpz5swZ p69l/umY7KFDh5wGOzoOq9sA55MTExOVy9PS0gwAAAAg0xdOEydOVJN7c+k0bUREROPGjS1g5syZ TnvKQgoAAAAg09eoUUM19IryTj19fHy87+GvhR0AAADAPr025lVJr446FStWVI2+81hZAAAAgEz/ NlGNfnp6ulOEAwAAAJDpgwAAAABApgcAAABApgcAAABApgcAAABApgcAAADI9EhNTd2zZ8+5c+fs rQMAAAAyPb788svPP/88OTn566+/jomJefXqleUCAAAAINNnZmb+GHDr1i0rBBYsWPDixQtnXKFC he+//96CDwAAAMj0Z8+enTZtWp8+fVq2bNm5c+fY2NibN2/61syfP1/zPocPH/YtW758ef369cPC wvTTCsLr16/j4uJUPGP5o//ovffee/TokQUZAAAAkOlVaB4SEtKoUaOdO3dev35d6Tk6OlqhfMeO HebRpEmTcuXKveMhy5Yts19Tp06dgsr0Bw8e1OUdOXLE/le//PLLsGHD3n//fX2UBR8AAACQ6bVJ HxoaqlIZ76FSxeioqChfpr98+bLlTQFm+lGjRlWuXFm79ZY/P/zwQ0RExMWLFy3IAAAAgEz/8OHD 1atX+ybfDSgMmV5BfPjw4VYQPvvss2+//dYAAACAoD8je//+fe3Td+jQoUAy/ebNmz91DRkyxJl8 +fLl7NmzGzZsWLNmzS5duhw9enTp0qXOmrlz53q/Q9CVOFVA33zzjbMgKSlp7969H374Ya1atfr2 7Xvjxg29mpiYqJIh/V39iZ9++slcOh7w5s0bZ9yuXTsdmbXgBgAAADL9nTt3FLIrVaqkOntfpp8x Y0b37t0VxFu0aDFixIgrV67kJdOrB45ydtWqVdeuXbtlyxZnsn///ir4iY+PVzGM6vibN2+uz1R8 1zcGx44dM9eECRNUtZ+VlaXxgQMHFPe1Rjm+Y8eOK1asmDp1aunSpSMjIxXoP/7441WrVuk0bfHi xXWR5urZs+cnn3zy3XffDR48uHfv3s+ePbNgBQAAADL9vHnzwsPDlYmVg5XsNePL9NrnVqObu3fv 7t+/Xym8TJkyW7du/a+ZfuXKlfXq1fM20tm1a5cTzc2Vnp5esmRJTT548MA8PvjgA6V/c2k7X2uq VauW3Z5y5MiRmmnVqlX2ZnyvXr10t+Dtb/Pzzz/r7O/Tp08tuAEAAIBMrxysPXWVyqijpXKz9sXN 4/Tp09lJWh4/fqx27+XLl3/y5EkumX7OnDm6GVAxj3kMHTpUQXzjxo3moRsGX6bXxWhm/fr1vkz/ 1VdfeVtnambmzJnmmjhxomboQw8AAIAiXU+vApXatWvrjKwvi/uoQaTS84YNG3LK9GPGjNGCtm3b +rrWaFtd86dOnTKPAQMG+DK9Cu5VWqP9dV+mV8mNuVTPoxnV3phLdxGa0UorsgAAAECmFyeOq2zG cjZlyhStUcXOr2Z6vaSHWKkTpQaTJ082j6ZNm2ry/Pnz5qGae1+m19cF3bp108CX6VXW78v0+ll0 Mz0AAADI9Opmc+3aNd+kTqN6d8TVvd53ZFacvO577FR2pldTGm3Pq7+NDr+qRt/7vKcePXrojbt3 7zaPrl27ejO9CvpVFq+bCjJ9bgAAAECmd46Zqu7FNzlw4EBvVk5ISFBZvG+N06nm0qVLuZ+RVa9J 9a6pXr16RkaGM7N48WK9cdy4ceZSZ5sqVap4M73+ou4E1DufTP/fAQAAgEwfFhamju/m2r59u/K0 ekSqsD47YftKcZxcPmjQoLw8c2rdunVarO15C1CJvNrS63zthQsX9Kta1qjUR90zvZk+Jiamffv2 JmT63AEAAIBMr8aUejCTWkmqzF0d3PXkphIlSqgj5O3bt82l8K3Wk2peGRUVpZfUYrJs2bJqBu90 jvdas2ZNqVKlQgM00K/JyckahARooMytZept36BBA9056KfS/OjRo51mOM7GfGZmpq5n4cKF5vHR Rx/p3kNrdHl6i3PW1umAqZ8aa0Zd8PWqZrRSdwUGAAAAFJ0zsto7V2G9+leeOHEiuz2lz/Pnz5XF tebMmTNOX8t80jHZQ4cOOd11dBxWtwHOx6qPjXJ5WlqaAQAAAGT6wkld5NXh3lw6TRsREdG4cWML UL95bdtboQUAAACQ6WvUqKEaekV5p54+Pj5eG/NJSUn2tgAAAADYp9fGvMri1U6nYsWKKtB3HisL AAAAkOnfJirQT09Pd4pwAAAAADL9Ww0AAAAg0wMAAAAg0wMAAAAg0wMAAAAg0wMAAABkeqSmpu7Z s+fcuXP21gEAAACZHl9++eXnn3+enJz89ddfx8TEvHr1ynIBAAAAkOnv3LnzY8CDBw+sEFiwYMGL Fy+ccYUKFb7//nsLYgAAACDTnz17dtq0aX369GnZsmXnzp1jY2Nv3rzpWzN//nzN+xw+fNgChg8f XqdOnZCQkD/+8Y9WEF6/fh0XF6fiGcsf/SPvvffeo0ePLFgBAACATK+Kc2XxRo0a7dy58/r164rR 0dHRYWFhO3bsMI8mTZqUK1fuHQ9ZtmyZue7evVuAmf7gwYP6tCNHjtj/6pdffhk2bNj777+vj7Ig BgAAADK9NulDQ0Nv3brlPV2qPB0VFeXL9JcvX7acFWymHzVqVOXKlbVbb/nzww8/REREXLx40YIV AAAAyPQPHz5cvXq1b/LdgP+PmV5BXPU8VhA+++yzb7/91gAAAICic0b2/v37SucdOnTIT6afNWvW p665c+c6ky9fvpw9e3bDhg1r1qzZpUuXo0ePLl261LfG+epAH+UU/3zzzTfOgqSkpL1793744Ye1 atXq27fvjRs39GpiYqIqhVTKP2TIkJ9++slcOhXw5s0bZ9yuXTsdmbUiAgAAAGR6dbBR2q5UqZLq 7H2ZfsaMGd27d1cib9GixYgRI65cuZJLpldeb968edu2bTdt2nTs2DFnsn///qrziY+PVzGMyve1 QB+ld+mLguw1MmHCBBXrZ2VlaXzgwAHFfa1Rju/YseOKFSumTp1aunTpyMhIBfqPP/541apVOk1b vHhxXZu5evbs+cknn3z33XeDBw/u3bv3s2fPDAAAAAj6TD9v3rzw8HCFYwViJXvN+DK9NrzV6EbZ ff/+/YrjZcqU2bp1669metXBq0O8QrY3TO/atcuJ5uZKT08vWbKkJn0dMD/44AOlf3Pp9kBrqlWr lt2ecuTIkZpp1apV9mZ8r169dLfg7W/z888/68jv06dPrYgAAAAAmV6BWA3mN2/erI6WCtDaIDeP 06dPZ0dqefz4sfq+ly9f/smTJ75M//z5c22Nf/HFF74nPQ0dOlQLNm7caB66T/Blel2DZtavX+/L 9F999ZW5li9frpmZM2eaa+LEiZqhD70AAACAenrT5nrt2rV1RlaF9ZYzdYpUjN6wYYM30w8cOFAV MhqMHz/et17b6po/deqUeQwYMMCX6VVwr9Ia7a/7Mr1Kbsy1du1azaj2xlxz5szRjFYaAAAAQKaX MWPGKCKvXLnScjZlyhStUcWON9OrAEanY1u3bl2sWLF9+/aZR9OmTbXg/Pnz5qGzrb5Mr28JunXr poEv06ua35fp9ZNMDwAAADK9qZvNtWvXfJM6lurdGlf3et+RWaeFvNbosVPeTD9o0CCnw722+X/z m994w3qPHj20YPfu3ebRtWtXb6ZXHb/uCnQvQaYHAAAAmT6vdN5UBTC+SZXQeENzQkKCzsj61jgt ay5duvSrfW9UN69f1ZfGXIsXL9bMuHHjzKXONlWqVPFmev0hHdJVy3wyvQAAACCvyPRhYWFq/W6u 7du3K1irWaQK67Ojtq8URwHd2ZXP5ZlTGmvmr3/9qwWoRF5t6XWs9sKFC/pVLWtU4aOmmd5MHxMT 0759exMyPQAAAMj0eaTGlHpCk3pKqt5d/Wr0CKcSJUqoNeTt27fNpRSuHpRqXhkVFaWX1GuybNmy 6grvtJCXP/zhD6VKlVKq1s2ABnqvnhWlWwWnwl4zx48f1zK1tG/QoIHW6KfS/OjRo51mOM7GfGZm pi5j4cKF5vHRRx85n6Or0lucs7ZOB0z91FgzVatW1aua0UrdFRgAAABQBM/IahNdhfXqX3nixIns 9pQ+alKpUK41Z86ccfpa/m90TPbQoUNOUx0dh1Xodz5NfWyUy9PS0gwAAAAg0xdO6iKvxvbm0qOp IiIiGjdubAHqN69teyu0AAAAADJ9jRo1VEOvKO/U08fHx2tjPikpyQAAAIC3Bfv02phXWby66FSs WFF1+WqPYwAAAACZ/u2iuvz09HRvEc7/a7eOBQAAAAAG+VvPYldRBAAATg8AADg9AADg9AAAgNMD AIDTAwAATg8AAMynBwAAnB4AAHB6AADA6QEAwOkBAACnBwAAnB4AAHB6AABwegAAwOkBAACnBwAA nB4AAJweAABwegAAwOkBAIAALHcYbfRb4HUAAAAASUVORK5CYII= --nextPart8380312.T7Z3S40VBb-- --nextPart10460184.nUPlyArG6x Content-Type: application/pgp-signature; name="signature.asc" Content-Description: This is a digitally signed message part. Content-Transfer-Encoding: 7Bit -----BEGIN PGP SIGNATURE----- iQGzBAABCAAdFiEEM/tVN9WpYYHnPZHxloeAdSYJHeoFAmWny8MACgkQloeAdSYJ Heq04gv+P6wADyNm8bRMBOTLIhZzfTsUnTRXH9giuiJnr5xP0yOW022T51Q0RfD8 3JNF48Qz5KE9PuwpbHK+9oh39a3kT7JurHwxQegBBNmes9YPJBIl4R3f6K/n11pb P9MWKw8Nn4/CgxXDoaRwE2MWcITGbruS2LywtPkhDU36lC36hWOqTFHy4++dnfcK nQxyh8J3HbzXn3ltMICe7zy7nGGe5xuYnRZO+WP6EaZTkDQJ/YOFw0j7Xp7FR2Y4 /p4RXigMudvmtdVqz4hcvG6F7FvNb7+FdeFRJcic+4FV4KQ/I6uYY7NWeYn2V+NZ 0ifIqbCUEs2RqYfvpHaN8M8XjczbgcSqVFaK92urvotZiIAe+ollFFszACsMYoyl hSog0MoQyoxB5wQ1rSST0UPZEwtuWVrxMJz6Hd35XpIVngyOisPPCNVxmruEz8iN mx5LMPF+jcCyV8AugE3ZuLiJarcm7JL35KK/H5J8U7w7Hypu5ODAHuOABrNcyNkh N7bThRL/ =uxHX -----END PGP SIGNATURE----- --nextPart10460184.nUPlyArG6x-- --===============2968993008124996954== Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline ___________________________________________________________________________________ If your question is of interest to others as well, please add an entry to the Wiki! maillist : ntg-context@ntg.nl / https://mailman.ntg.nl/mailman3/lists/ntg-context.ntg.nl webpage : https://www.pragma-ade.nl / https://context.aanhet.net (mirror) archive : https://github.com/contextgarden/context wiki : https://wiki.contextgarden.net ___________________________________________________________________________________ --===============2968993008124996954==--