From mboxrd@z Thu Jan 1 00:00:00 1970 X-Msuck: nntp://news.gmane.io/gmane.comp.tex.context/116606 Path: news.gmane.io!.POSTED.blaine.gmane.org!not-for-mail From: Matthew McCabe via ntg-context Newsgroups: gmane.comp.tex.context Subject: Non-standard font alternatives Date: Tue, 13 Dec 2022 19:15:42 +1100 Message-ID: <3AA1AF9A-D024-44A5-A568-2A1C14900BE5@icloud.com> Reply-To: mailing list for ConTeXt users Mime-Version: 1.0 (Mac OS X Mail 16.0 \(3696.120.41.1.1\)) Content-Type: multipart/mixed; boundary="===============6349917324154881849==" Injection-Info: ciao.gmane.io; posting-host="blaine.gmane.org:116.202.254.214"; logging-data="20022"; mail-complaints-to="usenet@ciao.gmane.io" Cc: Matthew McCabe To: ntg-context@ntg.nl Original-X-From: ntg-context-bounces@ntg.nl Tue Dec 13 09:26:06 2022 Return-path: Envelope-to: gctc-ntg-context-518@m.gmane-mx.org Original-Received: from zapf.boekplan.nl ([5.39.185.232] helo=zapf.ntg.nl) by ciao.gmane.io with esmtps (TLS1.3:ECDHE_RSA_AES_256_GCM_SHA384:256) (Exim 4.92) (envelope-from ) id 1p50c2-00051H-D8 for gctc-ntg-context-518@m.gmane-mx.org; Tue, 13 Dec 2022 09:26:06 +0100 Original-Received: from localhost (localhost [127.0.0.1]) by zapf.ntg.nl (Postfix) with ESMTP id D236C380041; Tue, 13 Dec 2022 09:25:26 +0100 (CET) X-Virus-Scanned: Debian amavisd-new at zapf.boekplan.nl Original-Received: from zapf.ntg.nl ([127.0.0.1]) by localhost (zapf.ntg.nl [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id kRcjaA5b4cBc; Tue, 13 Dec 2022 09:25:24 +0100 (CET) Original-Received: from zapf.ntg.nl (localhost [127.0.0.1]) by zapf.ntg.nl (Postfix) with ESMTP id 4156A380007; Tue, 13 Dec 2022 09:25:24 +0100 (CET) Original-Received: from localhost (localhost [127.0.0.1]) by zapf.ntg.nl (Postfix) with ESMTP id E35E8380007 for ; Tue, 13 Dec 2022 09:25:22 +0100 (CET) X-Virus-Scanned: Debian amavisd-new at zapf.boekplan.nl Original-Received: from zapf.ntg.nl ([127.0.0.1]) by localhost (zapf.ntg.nl [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id eTgm-csyI4QY for ; Tue, 13 Dec 2022 09:25:21 +0100 (CET) Received-SPF: Pass (mailfrom) identity=mailfrom; client-ip=17.58.38.44; helo=ms11p00im-qufo17291501.me.com; envelope-from=matt.mccabe.888@icloud.com; receiver= X-Greylist: delayed 570 seconds by postgrey-1.36 at zapf.ntg.nl; Tue, 13 Dec 2022 09:25:20 CET Original-Received: from ms11p00im-qufo17291501.me.com (ms11p00im-qufo17291501.me.com [17.58.38.44]) (using TLSv1.3 with cipher TLS_AES_256_GCM_SHA384 (256/256 bits)) (No client certificate requested) by zapf.ntg.nl (Postfix) with ESMTPS id 83CD8380006 for ; Tue, 13 Dec 2022 09:25:20 +0100 (CET) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=icloud.com; s=1a1hai; t=1670919348; bh=XsEe9RAoeu8S7NP2jXosxI2sivSrNMvaCi88Z9Uz1QE=; h=From:Content-Type:Mime-Version:Subject:Message-Id:Date:To; b=hBopu9Vm6YRAzWTM0JOFfQ3ORxYcGSC+A00BAFoo+ZUraZnTBSn0J9xem6OESx5H5 C5VdaHxyDIli+mI82N1EBrPv4IOnmOrty7xlrZG/VXpROuGsW1yE3rb3sTcsrPVCNW elxCl6xWagQwGVdMzCCeByYJRRM4Z7NJAgHdTRsEgQgdrwf+vpO8Ab8IRzLE3XpzXx 96/5HBPXEvaGtf28EOPN9mWfCpE1BwIe4jBnQkaQ7x3Bn0v4NFHmZiUiGPT7mXUdBa YjFE3x582HgXboKOMtlteSn4GH8YNyV4qrLBOkGmiAfhzWHClJkE4eBKwQMCJ6toCe mRPJrDCngSVZw== Original-Received: from smtpclient.apple (ms11p00im-dlb-asmtpmailmevip.me.com [17.57.154.19]) by ms11p00im-qufo17291501.me.com (Postfix) with ESMTPSA id B5FCCA60310 for ; Tue, 13 Dec 2022 08:15:45 +0000 (UTC) X-Mailer: Apple Mail (2.3696.120.41.1.1) X-Proofpoint-GUID: ktbQssXG3KP254Qwa0BgEfqvjLVa46ai X-Proofpoint-ORIG-GUID: ktbQssXG3KP254Qwa0BgEfqvjLVa46ai X-Proofpoint-Virus-Version: =?UTF-8?Q?vendor=3Dfsecure_engine=3D1.1.170-22c6f66c430a71ce266a39bfe25bc?= =?UTF-8?Q?2903e8d5c8f:6.0.138,18.0.572,17.11.62.513.0000000_definitions?= =?UTF-8?Q?=3D2020-02-14=5F11:2020-02-14=5F02,2020-02-14=5F11,2021-12-02?= =?UTF-8?Q?=5F01_signatures=3D0?= X-Proofpoint-Spam-Details: rule=notspam policy=default score=0 malwarescore=0 mlxscore=0 suspectscore=0 phishscore=0 bulkscore=0 clxscore=1011 spamscore=0 adultscore=0 mlxlogscore=999 classifier=spam adjust=0 reason=mlx scancount=1 engine=8.12.0-2209130000 definitions=main-2212130075 X-BeenThere: ntg-context@ntg.nl X-Mailman-Version: 2.1.26 Precedence: list List-Id: mailing list for ConTeXt users List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: ntg-context-bounces@ntg.nl Original-Sender: "ntg-context" Xref: news.gmane.io gmane.comp.tex.context:116606 Archived-At: --===============6349917324154881849== Content-Type: multipart/alternative; boundary="Apple-Mail=_5E848A11-D005-4EAA-8D51-5C2699814BFF" --Apple-Mail=_5E848A11-D005-4EAA-8D51-5C2699814BFF Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=us-ascii Hi list, I'm looking to import a font with medium and light weights (in this case = Roboto) and define font alternatives so one can quickly switch to light = text just as one would switch to bold text. There is a stackexchange = answer from Wolfgang = (https://tex.stackexchange.com/questions/303648/context-font-weights) = which details a solution to this problem for ConTeXt MkIV but despite my = best efforts I haven't been able to get things to work for me. There is = the Roboto typescript example on ConTeXt garden but it isn't exactly = what I'm looking for as for the document I'm making I would prefer to be = able to treat the font weights as alternatives rather than separate = families since I will be switching often. One can download the exact set of fonts I am using from = https://fonts.google.com/specimen/Roboto Here is my code: \definefontalternative[lf] % light \definefontalternative[li] % lightitalic \definefontalternative[md] % medium \definefontalternative[mi] % mediumitalic \starttypescript [sans] [roboto] \definefontsynonym [SansLight] [file:Roboto-Light] = [features=3Ddefault] \definefontsynonym [SansLightItalic] [file:Roboto-LightItalic] = [features=3Ddefault] \definefontsynonym [Sans] [file:Roboto-Regular] = [features=3Ddefault] \definefontsynonym [SansItalic] [file:Roboto-Italic] = [features=3Ddefault] \definefontsynonym [SansMedium] [file:Roboto-Medium] = [features=3Ddefault] \definefontsynonym [SansMediumItalic] [file:Roboto-MediumItalic] = [features=3Ddefault] \definefontsynonym [SansBold] [file:Roboto-Bold] = [features=3Ddefault] \definefontsynonym [SansBoldItalic] [file:Roboto-BoldItalic] = [features=3Ddefault] \definefontsynonym [SansCaps] [file:Roboto-Sans] = [features=3Dsmallcaps] \stoptypescript \starttypescript [sans] [roboto] \definebodyfont [default] [rm] [lf=3DSansLight sa 1, li=3DSansLightItalic sa 1, tf=3DSans sa 1, it=3DSansItalic sa 1, md=3DSansMedium sa 1, mi=3DSansMediumItalic sa 1, bf=3DSansBold sa 1, bi=3DSansBoldItalic sa 1, sc=3DSansCaps sa 1] \stoptypescript \definetypeface[roboto][rm][sans][roboto][default] \setupbodyfont[roboto] \starttext \lf Light \li LightItalic \tf Regular \it Italic \md Medium \mi MediumItalic \bf Bold \bi BoldItalic \sc SmallCaps \stoptext - The result is entirely in the regular weight default font: What I've tried: 1. I've tried a great deal of alternative \definefontsynonym arguments = such as specifying by name, including the full path to each ttf file 2. I played around with different two character \definefontalternative = arguments to ensure there was no overlap with existing commands (as far = as I am aware the existing set are otherwise undefined) A few things to note: 1. My current version of ConTeXt is 2022.12.09 16:34 2. For portability I have included the ttf files for Roboto in a = directory within my project directory and while setting things up I set = OSFONTDIR to include this directory and run `mtxrun --script fonts = --reload --force` 3. `mtxrun --script fonts --list --all --pattern=3DRobo` yields: identifier familyname fontname filename = subfont instances roboto roboto robotoregular = ./fonts/Roboto/Roboto-Regular.ttf robotoblack roboto robotoblack = ./fonts/Roboto/Roboto-Black.ttf robotoblackitalic roboto robotoblackitalic = ./fonts/Roboto/Roboto-BlackItalic.ttf robotobold roboto robotobold = ./fonts/Roboto/Roboto-Bold.ttf robotobolditalic roboto robotobolditalic = ./fonts/Roboto/Roboto-BoldItalic.ttf robotoitalic roboto robotoitalic = ./fonts/Roboto/Roboto-Italic.ttf robotolight roboto robotolight = ./fonts/Roboto/Roboto-Light.ttf robotolightitalic roboto robotolightitalic = ./fonts/Roboto/Roboto-LightItalic.ttf robotomedium roboto robotomedium = ./fonts/Roboto/Roboto-Medium.ttf robotomediumitalic roboto robotomediumitalic = ./fonts/Roboto/Roboto-MediumItalic.ttf robotonormal roboto robotoregular = ./fonts/Roboto/Roboto-Regular.ttf robotoregular roboto robotoregular = ./fonts/Roboto/Roboto-Regular.ttf robotothin roboto robotothin = ./fonts/Roboto/Roboto-Thin.ttf robotothinitalic roboto robotothinitalic = ./fonts/Roboto/Roboto-ThinItalic.ttf 4. Using `\definedfont[name:robotomedium*default] hello` and = `\definedfont[file:Roboto-Thin*default] hello` (for example) work = exactly as expected I hope this isn't a silly question, I'm very new to ConTeXt and have = been struggling for a while so thought I may as well ask in case there's = something I'm missing, would appreciate any guidance :) Regards, Matt --Apple-Mail=_5E848A11-D005-4EAA-8D51-5C2699814BFF Content-Type: multipart/related; type="text/html"; boundary="Apple-Mail=_ED16759E-462C-47B1-878C-25E216603B07" --Apple-Mail=_ED16759E-462C-47B1-878C-25E216603B07 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=us-ascii
Hi list,

I'm looking to import a font with medium = and light weights (in this case Roboto) and define font alternatives so = one can quickly switch to light text just as one would switch to bold = text. There is a stackexchange answer from Wolfgang (https://tex.stackexchange.com/questions/303648/context-font-wei= ghts) which details a solution to this problem for ConTeXt MkIV but = despite my best efforts I haven't been able to get things to work for = me. There is the Roboto typescript example on ConTeXt garden but it = isn't exactly what I'm looking for as for the document I'm making I = would prefer to be able to treat the font weights as alternatives rather = than separate families since I will be switching often.

One can download the exact set of fonts = I am using from https://fonts.google.com/specimen/Roboto

Here is my code:

\definefontalternative[lf] % = light
\definefontalternative[li] % lightitalic
\definefontalternative[md] % medium
\definefontalternative[mi] % mediumitalic

\starttypescript [sans] = [roboto]
  \definefontsynonym [SansLight]      =   [file:Roboto-Light]        = [features=3Ddefault]
  \definefontsynonym = [SansLightItalic]  [file:Roboto-LightItalic]  = [features=3Ddefault]
  \definefontsynonym [Sans]   =           [file:Roboto-Regular]    =   [features=3Ddefault]
  \definefontsynonym [SansItalic] =       [file:Roboto-Italic]       = [features=3Ddefault]
  \definefontsynonym [SansMedium] =       [file:Roboto-Medium]       = [features=3Ddefault]
  \definefontsynonym = [SansMediumItalic] [file:Roboto-MediumItalic] = [features=3Ddefault]
  \definefontsynonym [SansBold] =         [file:Roboto-Bold]       =   [features=3Ddefault]
  \definefontsynonym = [SansBoldItalic]   [file:Roboto-BoldItalic]   = [features=3Ddefault]
  \definefontsynonym [SansCaps] =         [file:Roboto-Sans]       =   [features=3Dsmallcaps]
\stoptypescript

\starttypescript [sans] = [roboto]
  \definebodyfont [default] [rm]
     [lf=3DSansLight sa 1,
  =     li=3DSansLightItalic sa 1,
      tf=3DSans sa = 1,
      it=3DSansItalic sa 1,
  =     md=3DSansMedium sa 1,
      mi=3DSansMediumItalic= sa 1,
      bf=3DSansBold sa 1,
  =     bi=3DSansBoldItalic sa 1,
      sc=3DSansCaps sa = 1]
\stoptypescript

\definetypeface[roboto][rm][sans][roboto][default]
=

\setupbodyfont[roboto]

\starttext

\lf Light
\li = LightItalic
\tf Regular
\it Italic
\md = Medium
\mi MediumItalic
\bf Bold
\bi BoldItalic
\sc = SmallCaps

\stoptext

- The result is entirely in the regular = weight default font:


What = I've tried:

1. I've = tried a great deal of alternative \definefontsynonym arguments such as = specifying by name, including the full path to each ttf = file

2. I = played around with different two character \definefontalternative = arguments to ensure there was no overlap with existing commands (as far = as I am aware the existing set are otherwise undefined)


A few things to note:

1. My current version of ConTeXt is = 2022.12.09 16:34

2. For portability I have included the = ttf files for Roboto in a directory within my project directory and = while setting things up I set OSFONTDIR to include this directory and = run `mtxrun --script fonts --reload --force`

3. `mtxrun --script fonts --list --all = --pattern=3DRobo` yields:

identifier         =   familyname   fontname           =   filename                 =                 subfont   = instances

roboto =               roboto     =   robotoregular        = ./fonts/Roboto/Roboto-Regular.ttf
robotoblack        =   roboto       robotoblack      =     ./fonts/Roboto/Roboto-Black.ttf
robotoblackitalic    roboto       = robotoblackitalic    = ./fonts/Roboto/Roboto-BlackItalic.ttf
robotobold         =   roboto       robotobold       =     ./fonts/Roboto/Roboto-Bold.ttf
robotobolditalic     roboto       = robotobolditalic     = ./fonts/Roboto/Roboto-BoldItalic.ttf
robotoitalic         = roboto       robotoitalic         = ./fonts/Roboto/Roboto-Italic.ttf
robotolight        =   roboto       robotolight      =     ./fonts/Roboto/Roboto-Light.ttf
robotolightitalic    roboto       = robotolightitalic    = ./fonts/Roboto/Roboto-LightItalic.ttf
robotomedium         = roboto       robotomedium         = ./fonts/Roboto/Roboto-Medium.ttf
robotomediumitalic   roboto   =     robotomediumitalic   = ./fonts/Roboto/Roboto-MediumItalic.ttf
robotonormal         = roboto       robotoregular        = ./fonts/Roboto/Roboto-Regular.ttf
robotoregular        = roboto       robotoregular        = ./fonts/Roboto/Roboto-Regular.ttf
robotothin         =   roboto       robotothin       =     ./fonts/Roboto/Roboto-Thin.ttf
robotothinitalic     roboto       = robotothinitalic     = ./fonts/Roboto/Roboto-ThinItalic.ttf

4. Using = `\definedfont[name:robotomedium*default] hello` and = `\definedfont[file:Roboto-Thin*default] hello` (for example) work = exactly as expected


I hope this isn't a silly question, I'm = very new to ConTeXt and have been struggling for a while so thought I = may as well ask in case there's something I'm missing, would appreciate = any guidance :)

Regards, Matt

= --Apple-Mail=_ED16759E-462C-47B1-878C-25E216603B07 Content-Transfer-Encoding: base64 Content-Disposition: inline; filename=screenshot.png Content-Type: image/png; name="screenshot.png" Content-Id: <2D270A10-8B97-4D83-86D8-808486571E04> iVBORw0KGgoAAAANSUhEUgAABQAAAAB0CAYAAADab5+HAAAAAXNSR0IArs4c6QAAAJZlWElmTU0A KgAAAAgABAEaAAUAAAABAAAAPgEbAAUAAAABAAAARgEoAAMAAAABAAIAAIdpAAQAAAABAAAATgAA AAAAAACQAAAAAQAAAJAAAAABAASShgAHAAAAEgAAAISgAQADAAAAAQABAACgAgAEAAAAAQAABQCg AwAEAAAAAQAAAHQAAAAAQVNDSUkAAABTY3JlZW5zaG90M8rc9QAAAAlwSFlzAAAWJQAAFiUBSVIk 8AAAAqhpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6 bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDYuMC4wIj4KICAgPHJkZjpSREYgeG1sbnM6cmRm PSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICAgICAgPHJk ZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6dGlmZj0iaHR0cDov L25zLmFkb2JlLmNvbS90aWZmLzEuMC8iCiAgICAgICAgICAgIHhtbG5zOmV4aWY9Imh0dHA6Ly9u cy5hZG9iZS5jb20vZXhpZi8xLjAvIj4KICAgICAgICAgPHRpZmY6WVJlc29sdXRpb24+MTQ0PC90 aWZmOllSZXNvbHV0aW9uPgogICAgICAgICA8dGlmZjpYUmVzb2x1dGlvbj4xNDQ8L3RpZmY6WFJl c29sdXRpb24+CiAgICAgICAgIDx0aWZmOlJlc29sdXRpb25Vbml0PjI8L3RpZmY6UmVzb2x1dGlv blVuaXQ+CiAgICAgICAgIDxleGlmOlBpeGVsWURpbWVuc2lvbj4xNDI8L2V4aWY6UGl4ZWxZRGlt ZW5zaW9uPgogICAgICAgICA8ZXhpZjpVc2VyQ29tbWVudD5TY3JlZW5zaG90PC9leGlmOlVzZXJD b21tZW50PgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+MTU1NjwvZXhpZjpQaXhlbFhE aW1lbnNpb24+CiAgICAgIDwvcmRmOkRlc2NyaXB0aW9uPgogICA8L3JkZjpSREY+CjwveDp4bXBt ZXRhPgpPc0hqAABAAElEQVR4AezdCfx921g/8G0WhRQpQz80SImQQvgpkhTp1q1QrnJlLEOGdLn3 Gu/NEJnnG5UhDaSMuT8NigylSCjXkDHzlPH813vxnP/67d/eZz7f6T7P63W++3z3XnsNn2dcz1p7 n3NMCnVJiUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkAolAInAgETjngRxVDioRSAQSgUQgEUgE EoFEIBFIBBKBRCARSAQSgUQgEUgEKgKZAExBSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgE DjACmQA8wMzNoSUCiUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkApkATBlIBBKBRCARSAQSgUQg EUgEEoFEIBFIBBKBRCARSAQOMAKZADzAzM2hJQKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQC mQBMGUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEEoFEIBFIBA4wApkAPMDMzaElAolAIpAIJAKJQCKQ CCQCiUAikAgkAolAIpAIJAKZAEwZSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEDjACmQA8 wMzNoSUCiUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkApkATBlIBBKBRCARSAQSgUQgEUgEEoFE IBFIBBKBRCARSAQOMAKZADzAzM2hJQKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCmQBMGUgE EoFEIBFIBBKBRCARSAQSgUQgEUgEEoFEIBFIBA4wApkAPMDMzaElAolAIpAIJAKJQCKQCCQCiUAi kAgkAolAIpAIJAKZAEwZSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEDjACmQA8wMzNoSUC iUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkApkATBlIBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKB RCARSAQOMAKZADzAzM2hJQKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCmQBMGUgEEoFEIBFI BBKBRCARSAQSgUQgEUgEEoFEIBFIBA4wApkAPMDMzaElAolAIpAIJAKJQCKQCCQCiUAikAgkAolA IpAIJAKZAEwZSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEDjACmQA8wMzNoSUCiUAikAgk AolAIpAIJAKJQCKQCCQCiUAikAgkApkATBlIBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQO MALn3sbYvvjFL3aTyaQ7xznOUT+z2lDuK1/5Si133vOed1bRPXftS1/6Uvf5z3+++/KXv9z57uhz rnOdq/umb/qm7pzn3Nv5Vdh/4QtfqP3Eq1mkrA8yPp/9RJ/97GeP4RNeXehCF+q+/uu/fteGAlP6 gubpS8uDvawrdMKYQh9CN85znvN03/zN37xrWK/SMP1gn5Yheu9DR+bp1TL1nl3Ktna1lSFYsqvn PvdW3NaOw2tsxkpWZslJ2F1yaOx71fYaD90PfQ/e6Te9p//7hfQ97PJQn/FgU+OBWfC43xa5YOtn yUf/nk3//7nPfe4YnsKH3/yGb/iGTTd3tqwP/8nBGLERm/L5e1neAoc2fgg7QtZ2M1Yb481eO8/e wm+eX9FveCuv7Kbs2abxGJMJfubCF75wd8ELXnDTTW61vv/7v/9buX588tntGMgY4N/39WyUGG0d UveQ/uOz+doqNMvmzatvr2BuLgKXFnPfNzGvGsJc3Re4wAW6i1zkIkdB1NoXF2bFJmFfIo45qqI9 9M/Q+PmddWRuDw1vtCsbn0l94hOf6I4cOVITS4xBKE+/ByEYQCbYJgg/9mM/1i+28P/qoRznP//5 F75n3YJnnnlm91//9V/dpz/96e5Tn/pU95nPfKZ+v9jFLtbd4x73OEZx1m1vk/dT7je96U3dW9/6 1u7rvu7r6qQSr4aUGbb45R7Xr371q3eXucxlVu4OZePAdsqJ/ed//mf3D//wD90nP/nJKZ/witzd 6EY36n72Z3925bGse+MHP/jB7m//9m8r/vAY0xdGt5Vx/d7UhGDdMbT3f/jDH+5e9apXde9///un +gBrk8hv/dZv7U4++eS2+OB3ZY1ttxMdePPqV7+6kzxehjhkjlOwIkD1ucQlLrGjtmmZ/u61snSV zrKpbGt8TP5+67d+q/uWb/mWvdblpftDxv/+7/++++hHP9qd73znm9rffkXsLr2Pz1WvetXu8pe/ fL/Ynvj/jW98Y/cv//IvU77Rex9++d73vnd32ctedmY/lWPn4LGbxM/94z/+Y/fud797tBuC4mtd 61rdN37jN46WmXdBO294wxtqDGHcQ8Qn/MRP/ES1IUPXt33uve99b/fKV76y+/jHP35UnGNC9aM/ +qPdL/zCL8zsgjGS3d3m6cxO7vJFvP/3f//37l//9V+r/x/qjuQXeVt3AU0bYj58GSLxndhi3Un8 UN2LnPvIRz7SvfSlL612kd1nPxzZy5/8yZ/sbnazm82shr0UX4ppz670z//8z91ZZ51VEwMRU/bj +v78i0/hW8Sfe43Ynr/6q7/qPvaxj01jATGZz/HHHz933ki/2KvdlgmY//d//3eNKVfBGQ/FxeKg i170otX3fNu3fduOJ0DF+C9/+cs7uhqxWfCDj7/Pfe6zsgi9733vq/5GXET3zdnovs/1r3/97hd/ 8ReXqhvvYf76179+1ObNq5Dvgjlf7yOWXzUROa+tsetk58UvfnEHH5gHLr5/+7d/e42LV03g/+// /m/3kpe8ZKpf4m78hPkP/MAPdLe//e2P6tZ73vOeKsNwGbMvboiY1TzbHEgcsxdJjGMODoeIWcPn XPva1+5+5Vd+ZW63YbXb9mVuJwcKbDwBSEAf8pCH1KA/hGPI2IUDoqCCkStf+cpzDflA/2tiyiT9 bW97WxXYS1/60h2mMZDbJP1+/OMf3/3bv/1bDTgojMCDIHzf931fd4c73GFPJwAJ+DOe8Ywq+JFs 4WD6gQIMjdUnAvkHP/jBKyUA3/Wud9WJFUcuoIXTVa5ylW2yqdb953/+590ZZ5xReUPBBQN4JVls IrebCUBye9ppp9XAS8KLrgzxgL7An65c/OIXr85wLyYATWgf+tCH1gCeLoROGNd3fdd3zUwASrj9 3d/9XecogXad61yn+47v+I6ty8dYAzEW4xjiydh97B7naAwcn6BB0txYHNdJGoy1eZDOP/OZz6xy 0NpUPLjkJS/Z3fa2tz0QCcAPfehD3QMf+MCaLBO40Y9ZfpLus8Hu2asJwL/8y7/snvOc51Q7G7pP /9Gv/uqvjiYA2WMBmECdnbvc5S7XXe9619u1pBHfyLdLygzpvXMmBPe61726m9zkJisvZEkysv3/ 8z//U237UFt8wg/90A/tWgLwda97XXf66afXSQde0kn8isXWsQSgshZIjY3cmhiy5zu5QLtfbCIs //RP/7R+hmyAcdiJcItb3KK7y13usvKw/uM//qN70IMe1L397W+vPOlXRPfIoEnfbiUAJa5+93d/ t7ORoLUhsUlgLAGo7//0T//UveMd76g2VYzEhliMP7vRk570pM5ijDiE/cDTvm2Blw+/Qv7Illh8 TP52E0MTdDZIYqIvE+YQszaOkPnXvva1dWJvAdrckGzsBondJTKf8pSnHMOPRfsj5mdDJaDEkde4 xjW6K17xivUo1twJMt/GDzoa8T2fgPRnnQQguaX/keAKfpNRsrxsAhDmL3jBC7o//MM/rHOnvh4s gpf4THIH5uaLP/iDP9h9z/d8Tz3ulJ3kQx/5yEdWfwqTiI3hT6bvdre7rbyDVw6j1a8Wc3PjfgJQ XCRuIYsRtw7hGjkDPDD326sJQAvxxhPyDFMfYyJ3sxKA73znO7vXvOY1naQ4WTh8+HAnKb9faOMJ QMZJAMGxAFDS52Uve9lReACKMJggI46IgKxCGGBSJJGiTQ5fkHTrW996leoWvsfYOB8rsiYMsvMU BxmXMW2SKJNJkrqt1HHu65D+X+pSl6oG23cTUs6JsgZxMN///d9/FG/wd5VVaCs6j3vc47oXvvCF VbmM46d+6qfqpH7bQZoVm+te97q1XavL+MVwMejGvmkiixLhJuoS0rOI077a1a427YcdpXZctKT/ N77xjac8x5cx/ptE0zmTaCtDO00mxhwkOeJYBF9In+ftAvnjP/7j7ulPf3o1xJzuj//4j9dkYn8L +k6NCW/oWtgyu9LoYEs/8iM/UoOB9pzyH/jAB+pkREKTLfibv/mbKus3velNKy/pVdIwAoIr+skJ 2w1opRmxPdvQ1+FebPes4EngHrIlgJBA838Q+RPcSXwiYx/b/Whhw+67SBjtBk5sDjtrDJJbdhqh eXyTKOLDJYvoCr/0e7/3e9U31Qp2+A8MxSNsGRwtSLDJ/EaQCcHzn//8ah/m2fi4pz0KLJ/4xCd2 f/3Xf92ernYShjFJpQe7ubLMbpNBZHImIRikb2MkHhJUk2sYfvd3f3e1/8aWdDQCcCRD17zmNStW 4sjY8dSWJJdipnk7adt72u+S8xZDWxvj+s/8zM9ME2XaIPe7RdqGgz6KZdpYSAw8RuRSclPsRbfI Lf9x3HHH7ar+jPV3m+fJR8SHEqdkye6WINfEaFe60pXqKTbXPUM+QxwniSZ+N6/b6Z1POhgyoZ98 igRUyMIsG8RuS2yY4JMJceTtbne7ujlj1n2B06aP2mTXf/iHf7hiTT7tvGIjg2yMMDceinmNGR/t 8DS/QOLL7/zO76y7Yy3G8J3bJn00Bpjqi4QQWiTGn9c3G3fov7GqV1I/aBWekWmYW3j3XeLMHLDV B4lh182z+mSMZN88RkyPxKT0xY5k9mUnFmT13TxRXCJRxb+SH7Tqzr96c/kTu8vplx3iMWcbq1v+ RqI37AWdJIctmXve8IY3rGXUO2su+pa3vKXGWPIp284FtH2M7yFzbJ0Y2sYPJP4OOxpl26Ok91Of +tS6cEeuxGn8j4XhyG215ffk98KcjVJxOJNinCZl1aZ+yqRmUsCQDZt+yqR5UoCq10vQX49FIVfq x5/92Z9NStAyrVs7ZTVrUpRjpfqWuakY7tr34iAnRTmnfSjKUc8vU9e8svApj9xMfu3Xfm1SDMC8 4nOvF2GfqDP4VCZsk2LUpmOAo3E8+9nPnpZRthjBlbAtTntSDPG0/pIMmhQDOnF+2wQvfS/JtUlJ KtU+kJkysZ789m//9kabL4ZgUnZ/Vl6VhNbcukuwfxS+ZSfAMfqC72VlfFquBDaT4iAH6y4T6UlZ +Z6UXVSD17d90vjpf9kmPnnyk5885XcxspPi2EebLwmMer21E8UxTd785jeP3rPtCzGW0BGYFiM/ HZO+PvzhD698CTumbEnATsqq0KTsOp2UlblJSfRMirOs95Vgo9qn4mhGebjtce31+kvCr2JadqpM 7nznO0/xLjsoJyUJu9e7v1D/SmA5KY/JT3WavJQgaTpWsvW93/u9k5I4npahV+zFEJVHcibl0b3J zW9+80kJTIaKbP1ceVSr9pWtesADHjAdC50pQeVo+3xaq/cl0J885jGPmfBRu0El+TAJ306f+Si+ MHRYX/mvEvhPSkJlJT3G79YfxvjZijJhrTiyKWSErOwWscth2x7xiEcchcHd7373wW7Bj2+PMTle 4QpXmJxyyikT15KORoAvD90hb+xexCkthuSlJMZXkje2Q4xKt9o6S3J+Km/aFt/tpryxXTF/KAn2 o/o7K1Yru44mZbI2HVuZvNVYWV1nN2ptV9kgMSm7lKe44L35WFl8mPoVfC87rgblSsz88z//85Oy y25SkgO7AqU5ZdigsptrQmZDhh/72MeO9qks1h4Tr8GiLOSM3rPNC/QczvD2KbtVJ2WH1XQsxlQW Aqq/Md72o3x5JcWkJCcmj370oydlN/VUN+Dhvvvd73613m2OQd3hE8S5p556au0/3yjGv8ENbrBW 823M/YQnPGE6RtiIBZclmMf8D4byDn19kI8oSfKj8A55E8uUx4er3TV/CfsJ80OHDk1OOumkysdl +7VseeMw7zOGkhidlA0EU7k5fPjwaFy4SDtiyhivuKvNp5Qdl8dUgUf6EZ8/+IM/OMr24tUtb3nL 6XXl2KQxKq/1mRjDmWeeOVZkq+fJMz9Bv+hW2JaShJ+UBYPRtpUvC5vT8u4rCfiK5ehNe+zCetvI yoj7JBstox5k27YMcxGaOFUz8lYtNkVWLa0YIqsEO/VS2HYn3NDqwabGpx6PNth9ZHXYqt66BLN2 +zLMrEKXgKFWLbsvG2+XSuxAWadN2fXYJq6eogd1C3ExpOtUu9C9Vi1j5XLbK2TF0NUt58WodMUZ zu2f8bf42imBF62+kLNZKyjRCHztNLOCY/VlN8gqiA+KR0qK86r/4/kYudaXBaugs1Zgxura1Pl2 LOosk9i6skMHg6wetfyL896RacXcjg06VCYvddXRuxH/4i/+oo7V+xDXeZdmtHXQjjANil0K8f9B OZLr1mfwkWyT3btBdj6wB0PyFWUc6ZddDnbLsNnhC9syO/HdiqkPsqK+KPHZ/E3YB9js5i4k/Wl9 u9VcemqlG9Z2AvLBbLzHiw6Xxz6GdmyMjZ8vLEFz3VmAX3xGEJsjNrJrYS+Qsfsgsog3dkXMo6Ey 4YPn3Xt2u072W92hB2SALxcLkDdyZ9eK3Su3utWtjpLPeXi5164p8iuOYGOcQ3hr524bs8+rb5vX 7YyOvtgJLk6Nvs5ql7zBMYiOsam7GT9EX3b62NoubXv1SGtf2TfyNc+vuNdTD3aNis28i283yJwy HqvTDzISu59m9ceY+/ynT62czLp/09e0SyZ9gsoiX1c2scS/df5K/mO80wtf+2KORi/sBPOorR1b 4v6SwKiv3zCnK4myqjf9ezf1f+sT9B+F7163jTbmNkb8W2e+C/N2/qef4ni7YoO0KRYbw5zNdA87 ed/73rcrmxIq5hHLkynv/F93J170Z+hoHBET0NtN7pSjUzF2skW/2jlOvz/wam1H8InNReyLeKkt 068j/jfPldewC5B/2w1q5XmZ+QZ+R2wU/bYLls/aL7TxBODQwLdpcD2i99M//dM1QUa5KXJZsZr7 uOFQP9c5t80x6pcATiBEOTdlbNvxqrNvwDY5JpOH29zmNvUHIkxQGR3v7tiJ7dPtOBmnbZLHJRhP SYxV8Vu1jx7jtk29DTC2OdZ5dRuHzyIBPCfqsX3YcQru876PcEzz2tqp632eztJF+iQg+7mf+7nO 481lhat20xg9Cn+4JA68e2c/OYydwjna6eMd5w/akRz1JyvGOEu+AgPvy/HogaSZgGQvYLaMTPPX ZaW9vobCeE1YvS9umToCi20d9UXgyx55FFY/6bHHgbzqQH8XJT++5bUo+O2xHo+BBal3EZ5H+Z08 wmAR2WK7vfPRxNTjSsg4PTLlWtJsBPhLWJMDi0gehfMaBP+b8HtMSey0CC+0JHEjiaO8R/ckC2Ix 1rlF/PPsHm/v6qLy4jFmr09hR4xH/OV9gcsk5rc3it2tecivLNojskcWxZSLytuida9SblF5ULck p/d3WRyjO2Thl37pl46ZtK/Sj03dA9s+zdNHc6fyVFCNHfke5Y1P/O/VGx4FbhcX+/Vv8v/+nHGT deP1MvxepG1Y9TGH3TzMxVU2VfD95njKS3h5PBgP2NRFNmks0sdFymwal2hzVcz7tmHR/vlBEY/q 7+aCb4zdcdF+K+t1POas5EmSWnx44oknThfBldnrtCMJwG2CQOnsriFIlFKW3EuzDxKZaJgwzDNS e3nM+HLXu961O1ySHpEAlLw9SLsCjMs7newMOXTo0I7zy8SgbLeuhqlvkPeybETfyuOLte8SgIyq d4HsFccQfVzlKPCUAI8EoIBD0sYOD2M+CGNcBZe8ZzMIeKm/d+XsVNC/mV7//1r4BMFT7ISzerzT C0P/vzfj3+itd3dKank/maOJgReMeyfOvHecqpmPeN7znlffdygZ4703bQJwvPX9dUXyhc+PBKCk rp0CSYsjIN7zy78WffkK/9t1YseQd7jFbttZNZJZ7+nyq52ShnblSwYeNBIr/M7v/E6Nf+AkAejc NhMUBw3D/njsPLVTio3zIUv7iUzQy2sK6pM4ZMLuHPp0EIhN4D/It2S+8fEtdkayEfs1FtjLvBGj kJ/AHN5w95Sj/MNOJgD3Mk7L9M379iQAx95tvUxdO13WHLs86lwXrOlgyIcE/X6hfZ8ABLTVZZ9t EKdHyR0xvL96sI022zq1a7eQnzFH+rBMlrqta7e/M5DbNJL45IPwaaeTYFYaBUweR+EkdrJ9DuhZ z3pWfVzILpV1225lXl3r1reI7EkGr/tLUfTFB+1Uvxcdm/5E3xytGsa2+UXqaMuEnDu3TXsgyNFX fd9p29eOd5XvLUZ7SRZWGcvYPXb32F3qsT5JAYsPxroq4XXI6E5hxlb6MZ11aCf6rQ1JreOPP77+ wIX+Cv4lXwWyEg7ziJ32Yy8manbJ2bW0CdqJ8S/TT8GwXSpJ6yFgB7lJBhkja4j8OBc/zjKrBYvH fljLgpN7/M+mr0t7Td74Jq8dWObVA+ticJDv5zu93sDrZOz+k3Bal1p/vM2Ype2nxzZ91qG23zvl Exfpbz8eo5N2Ii3r/2N8e2lsi4x/N8r05ZYthXn//Ly+7TX7Oa+/27huEVXsKhYie8ti2O8TOYZr yPGyetCvb5H/vW6hvFNykaKjZUL/FIi+jxbe8IV9mwCkdFaXHQmQDKyj5Isk07wVEBNv93/sYx+r 23jdb5VLgG/1UBbX9l6P63g+3cTKc/dWXbzTa55whXE2QVOPRzj0T2CsfoHd2AouIdaesUn8+Vn0 +CVM44vHQUIWlNd3j1HuNSLccIZv8MjR+Ox8WuSZezvC8Mk7AqxKwp7iwdHuKrwsLzGtwYojwiMT Mqt+syj4qD/6qQ3BMv5JSOG5NsYCIDwVVDNmD37wg+sjKO4NHrbvNXCOkVNfyMesvs27Bkdt2zlT Xt463UkCc+MZantWMEfeyKpdhBIKcDBuuuR9DhKLm96xCRPt4HHIiKP/YS94Cx6N4aE83kmomWCT FUkF8qHP3q0G83n1jNW/ifP6ZKxBAgcyusiuobgHr/G0vHy2jhVG+OmdMcYIr0VWn8L2sSPsE76H 7aMvbJRrHnWwq1Q7VugkaeJ9Qu4j++4NvukfjL1HpLVFZDHemxZlHZW3o8oYNkXsI6zJAZzIBVlg L8IvsLvzZMH4Y2zGqb9wUI9Hi0zGrVyGjpEzfNDWtin0G6beJffc5z63Lnw476NPrVyRO/+P6a7r +Gk89N4RkQXjovvGvc6jZEOY4D8c+zJhDN4t1MrQ0P3K4S9eefSPHaRX5Ikf129y22IxVM8y59jt 8uL2+r4lbeKBDx5IwM7CCM7ed+N9vspe//rXr9+Xab9fNnyWvuAbTNg6Y/dhA2f1qa0PP4yF/rDJ 5B4PIiZaJEAPnra6ox66Y8x9+4R3dLaVAWX5HbFB9B12+saWRN3uUTd7Zmdbv27jaOtV1v3GxO6o Uxn6wu+phx2M+Kxvl2BNxpRVLztJR9jdMd1q8V3lu7F6dLr8oFZ9DYw68NkuQLtO59kb8asdpnag s992Eq5D8IKBd0XDjR1lT8kaW7GMvBkbOYNnyBtM6ax66No8O012woepD4/xhqwYM960pB0yGjIU 5dXD5rQ878tyyJt71C2Gb6kvn8r5qNtTSfQnxgs79eOfenzIUjteshryyU4qS7fZYsfQjbYP636n e/rsaYXyoz+1j2SbroStiTacw6N+v+O6o34ba8QsMFQfHnufnbHQuU0SvPW15bExaVuc5DOPwg6y q16rg1fmK+SSrIuJW1mZV9+mr7PzYjNjDDI+ugjXeUQOjZEexysBjIdc2YGPL9seH54EzqGXEYfS h0X8zbxxbvK62MIrGFrM6Qv5X2RjCxkil+ZX5qm+Gy+sQxfGcgKbGgfMw65oX5/YXHZSP2De2qBN tRv1aF+bxl9+0GrqjyKWYyuCwr6wF2O2Tl3uEe+rkzzBNOasjpt+woochLzSufiwdear/OA80m+2 XZ/13b3iFzyImHtbMUXbt32bACy/oleDcMaeUMWHQ7r97W8/MwFoi7TEmhcqY4IPpcYAwa73rmCk x26t7GMSIaPodiiVXz6qDqwFsv2uDwTRoxcCNffHhFIbnEj5xd36rgaPxSjfkvIeE+J8vHMg3jmk jHN+2p7StmQy4T0o/braMrvxneN/3OMeV/GgKPjkyAgJ8B/2sIeNdouieXH1kSNHqrODIVwZKA6C cttlgH8ecfG+EspEJiQhyq9Ldre97W1H61cPw6OPHouR6BXcUkY4RqACWz/o0VdISlx+tbc6Bf2M x3QYK+/j8L/gtCX1ll89WshJt/f1v+u3wN67IcmL/nNGiHEaaptxP+GEEzqPXvdJfwV9PhwUHPBJ O+SeUTLJ8hiRydNYQrRf77z/9bX82lcNRNqADbYeI8PDWZMc/PYT9HZf0mt9hwMeMPxkRKLN+ztM mPqTxHn928R1WJLNlg6VR8StHC3aH0mDV73qVZXfxkwX8AZPI9lhgkdWZwUjMLKqry4TSbpDXyLw Yvsk+V70ohfVlx3boWSCxjF516qXIAvey6/vVbkL5xe6LYCRCI/kjUn1i1/84voDFVEWn8MOmGR4 DHITBGdywBaQAzKtTX2guwJbdoEuk+GxwIDdeehDHzpNTkVfHQ+Xx1Xt3Hra055W8eEX2BHJP/yE 0Sx5XXecgiK2hl8xRrvD8RTpC9tVfgn8mIBJ0vI3f/M3j2keL/hS/Jb8Y0vYZjLBx9AfuN34xjeu +tOfUB9T4YInyC65YKdCLhzpPdmBPx85RvyA9x3htfHzi2wtXrBN5NVEjb3Cs0WCsrG2+ue9EPym N71p9/u///v1kgkiH21CNmsHEp3l1/XRu2PoLX6uQvjDX7H7dJQPgwli+8ijSUX5Ndk6/lmTOfLu HZJ8iXGwCSYH+BF2wWIa3uj7GKnHKzD8GE3LU9/Z5DPOOKPypL2frXCttQnaYcPYhgj86Z4kq7hN fW15svSUpzzlGB6LLYxFeff7qFvcQUeMl9yTH+X0n8yLzyR46LKkkLbw1tjYYfYQ/hLLytItus92 zsKnHfei38mHWMe7zMi7/330W2zDno2Rcs94xjMqvuSALrOFqxDZ8q4ruw/ZCfoGT9jTN/JGX8XH /KyYYYzcQ2bxkr1u5Y0/1E9YStQYwyxShycf8CNkTr/I1L3vfe+q/+39z3zmM6vetDKkPCIvdDtI sp59bWUt2vDaoetd73pRtB5b+QyZcyQTz3nOcypm4kVjZwvIIuzIEPtE3uJVAvTR/EQCl19jk+mC BA27Ie7F0/484KgOLfmPdv7kT/6k/vCH+EDbSD+RnaT61BJ+mQ+Fv2+vxQ+I8FdiFjYFnyJmwV8b KuC4ydcDiLX4Z3wL3hkD/fYe8lkJQGX8yAO/YgE0FsTIYeDPr4iF4S92MZ5NEVmZV58+iuHIfasf oX/kaYzCb9BjPsP4yKI6tUu+4HPlK1+5xpLLLlKPtduep/8Sj/SL/tJ/8wC6Qp7FGPRg07a07UP/ +zzM2U3v+7VjrcUcVodLfMFmzSLyT6bwTYzF56gz5pnqkXMQV8B8k3qtX/ocr4qRlxAr0Ue2jx9j UzxFCYd2fLPGtOw14xW3yqmQu7Ct6hG3io3IQ0ti9Dve8Y41Bm3P+x6Y8uNiYXJM3/WfDLGpFh3F gPzkPB736x/7n52UvIRh+AM4stF+gAcPZ5HNQq94xSvqWMmCvsOGfTFP0W/6Z87KD24zp7NvE4Cc qMctBSYYH4Tx3qs1RhTw2c9+dn2kwsRHwC7YpHAMojoFsJjAAWIC5yRwYKQkBX/91399NAHIaOkT B+R+ASPhE4AzfJyhNkyUjcF78SRkWmNHwPxSaCsYDLcyrkn8cLwE3cd5k7RtKe4YloucNwnXX8kG fIIB0n9CP0YckmBJQPK6172uBt3ev8C5wYIxZkQpP+OBNxJGAnXXPDLDqEogtdhGe85RLOUFMJzR oZKUEbhqgyxQUuW0b3LtBcLtREpQYWwMKkMgmGMIjJFTwysf/wef1C9BvS6pU59NBBg9RlzQixgi 44J9KxOMy5BxwptHPvKRNbhjnAQ2HDDjaxwCOYabXgjYvWSYjg0FfcuOC4bq1F9YGUuQiVrb/zjv SHbwmEOWABT0CcYE8GwAfBho+oaP5MQjUCZSMals61v1+yzjTIatGEp0mKwH6eOd7nSnhYIcdbA5 JhAmgGRe0MyxkSU8Jp8Cc3LPppH5oURETJbUwwlzLmQeVlaBBYX+pzf6zXFKKNJBAZtxwFACEJ4C ZXoH5yD3x4TBOXXjATkllybPLbX3tueX/W5Cyubqo0BH3wU0ZJ5c6cPzn//8anf13S4uv9DMzveJ zJF195F//Q5ia5zz3jcTf5izR4i95ys2ldCMNtujvhkLfdSP1oYK6PSPTWqDHXaJfeoTP8UXPfWp T638pPP6T3/wkO+iW8ZPXtgFNlByZF0i13SWzJGJFmP+uP2/31bIkwCS7eVLJajwg18hU+TZhJW/ J/f87CI7I/pt9f+HP7t43HHHVdvDL7D5AjmPzI0tjrjPpJrNpruwXDVRjM90UkLKgg3bb/z0WZ0C Y7aRzsGH/TbxlUjqk+QleaE3kn/sCz9rIkh3jI1t1m/2ppW3fl30gN2AA1/vXsRP+B7/t/cdKYt7 yuIZWxLEfrEdQdpVtzGR29ZukO8hedFnflxZehFEr9lgOgwr+mq8IZPkSwJZexbr4PdHf/RHNSHA J8EFRbwoXoDzPe95z6V+DCb6M+8IB37bQpk+wUJsqP8PetCDBuMbdeIbXrDJfmhHLEMOlyWJELJm AstXs5lsqyN/zU7EO6q16Uev2NahhSjYs630nv5LdNkdx+bQY/XBm8+2EDVL3oxDvMKGsYUhP3yy cUqy90n/jEOsRHeDyGhfhtRN3tjOfixlEahP7L++qKedk0iis9fsFVvExpIhdoT+0WX2Wt8kdcmT xC1fDkP/k0fj48MQH84OeB0Bm7cJMkb95OuNGY7wp9c+2oQTbH3YGnzr88g1fvHxj3985aPkCLso aSb24qvZZTJDR/kYcypysInYjE6zZ3Qej/UHka9Zr5gxfn2yqMJ+shvsqr6zD/BXJ4wsXMFDkpk9 H5pjrMIT8q8dNi76rW62SdsSJ+IbyRLygfBBTOjXwdmJsb5EwoRMwx0exuZ9u3wIWcQbc10xoPr5 KXXi8yaI/otV6aD69SnmdeZW5E5cyVdKSvVlaxN96NcBZ7ymt+FzYOg7u8LWwpwPiAQV3YC5H/GD z9g8QP/5V3aB3eMzxNSSfOJoPIUJfWET+WAL1GzoUGza7/si/7NFMMd3NgaPybV4gA0KzPVPnyKe XaTuZcqQ7dhkQp7ZRecQ7MXl/EHIvaOYbciOW4ziD+khDC0iiEvVCU8+3NyQHPFZ5i180hiflhkH 3RS3kAtzZ2MJMq8YI/GP/sg/4Te/yY/KD7HxcCeHfLxxKcMf2Ni1Ldq3CUBJMy94JdwCIc4aCQbb yU8LnDIep+UcBADAt6PFxIGyc3zqlJijJAySRAcDzzi6X2AqEJ5FlNyKtACGY7Nax0lrgwEx+cdo RpwCWnl0DLKaSmAJhH7aQadOCsEoRDAfxsp9jOjYuKPe3ThyJL/xG79R8SPUFIBxlXCd1V8BoFV6 QaJyjAAsBU5wYazsEgkniC93uctd6io1g8awMNBjBDuKzInri+ThL//yL1dHrz0yoD4OF88YKBMs shDkPo/nmDgjj+lwXsZHoa3oMOThxNTrPP6uS9rgSOAraGI8JYkQjASZgv5WRsjt0I4B9zKmDKlA 80Y3ulHd8RNJRbpAb0wCOBHYCDokAtclOnZC2ZVI9+jXGWWXSEwUx+SDHuA7+WCI8dqvcJIPQWYk admGe93rXtWgkhf/2yUHm00R+YzJjzrhTf7oLTwj+ShYF0Re97rXrQZdAiEmkrP6IlCSoDbBxHO/ jCyBLOFP/siwYPV+97tfdXpwFLSwGe2En7NhZwQZ+iboO+mkk+oRnpwZ22eypw59FfzpL9nncOkT +UUcE5vEAQoYJVxQ38GSTck4Ewf9YqvVHzTG47i+6NFigTFrQ7DKabK7ZFj/BRZ2bQiwBEP6QC9v d7vbHTPp0Cc2y+QBbvQK/xAc8JyO3OEOd6j6Ta6QRGwkFOqJLfwhA+SXD0D4RXcRftNLfXcMIidD Mg+D0047rQaF+CYRYgWTnWBj8VRS1YedhAWZPvnkkxeS3Wh/6Kg99ovfk3Si9zEh58ONc4gk2h7+ 8IfXgJpPZv/w0O4Z+mTckpdWaPkavBIQHipJEPZ8XaIriC/gcwT3zulL8H/oB0zoHBzZNj5Bf1rb vGi/8IW+PepRj6r2kp5K+EsEkHu40gF2+gEPeEC1k3yYwLgv62TaJF2gzKbzS1GXetXFlrHL4hm2 qA12+30OXccHsiWxzDaLffR7iNgcfNdHO1pCl/p2QR10Gm7KqBtfkX4OyYs4C1/IsckbOUP65ikK eJEJkwd2wtjYWfqjbskW5+iYcVg8MtmDJZ6bFN7tbner+LCrZI+NbHWvNriBPyZm2r/HPe5Ra9Mf k0p2QJw5RF4PYBz8NL+4CkmKkDXjg59+4NnhsuuFjLChfAf/w8eabOGP8/wUXIPIJdmVmLcg5n4x l0k0XpAf48IzfZcYmyVv6rVTQn/wmPw4qoduDckELNg5fbHILmmHyFCfxNT4S3f5ALY/aKhuMaRd WOoOv6+8MbGzztMvu0XpiDr4T36EjNEvZfhKcSR5x3M+15giASVhRk7FZN4DOWRvop/LHCVcxIx0 1fwE3/ESD9lkdkviInjinHv4l5bcL9Zgg/ABj/gVumvMFnzETOIaPuWsEl8at0Voc7F1SYxLJvQd H+CFZvkVcRSZY6MloPGATcUvMs/+4KN+k3MySifMx/hWsrwJYpPpiDbD16gX5uwkGWS/4IbwXpxD riVQ23lkLfC1P+zAk570pCrHbD0dEC+Lh8UNIV9smp3t5mrGJ5GiXbuwIq5u613mu9iBH4GzdozR vM5cV8wR/kYMpZx5esydlmln2bLsF/22yNn6ZJjjM93kA+GGJOUDc/ZeInWM2OiYx5IpSVqxcyTf yBRdE6uQPZiLUfHLomUbw4+1Meu82BffYS4GZkvYXP0Iu8LH878wJ9/6tA3iFyXgyR7/bszidkS2 bLYijy0PLB70d1fii3mERRLxFP0zn5LUpON02VjlB7RBnvAPn/itdckcmT3jDyXr5HFCTvtxS7Sl z3TKEw8WP4yRH2Bf2Cuy4Rz/ZdGR3pEdOmMOFvOuqG9jx2JktkpFeSaFgaLm6adkSddusziZSVGc SVGUSXFa07rL9uxJCQQG6y+rpZMSvE3LFgc6KcI+Let7SRhMisObFEdVy5bAZlKc06QkSSbFME9K kH/UPXFzyS7Xet1nrMWRTcojAbWPUcaxKOSkTBymfYBNEdC2SP1enP2kOINJMUCTkmCali8Of1KE uV5zPT7tOI6pbIETxSlPykR92o5xGFMR8AXuHi9SBH9iLMWJTMoEvdav7uIwJ0XhB2+EERkJmSmr AJOS8DmqLN6XSd+0DBxLxnxSlH9SAruK/RCuxfhO+1Cc3qQ4nUl5NK5i2jZAvkpwXcsWpZ4UQzwp BnpiPC3pKx7oT0kG1vLF0FUelwRLHXvwyLEEk5Oi6G0VR30vE9ZJcYzTccGgBCJHlYl/ykS3tqve kgSY3kP2yi/iTWUj2tfXfv/VUYKl6b3FgE5g1O9jSZoc1S/Yq3cW0RUYG0MxYJPiLI8prh2YkL+S UJoU4zrtS1ldnRTndMw9dKIEx9O68b4Yy1pPW7g47EkJUKf1kblirNsiS30vhvuo/oWelwnkpCQg 66dMGiZlsjUpk7JJSU5M4KmcsZcJ+aQEGVVGF2kYHiVJMu1/cRSTkow+5lY8LMH6tK0SBE5KIHEU D0vSZFKcTK2LfBYHdpQdKw5swtaFfdTvMoGbFAdUdY/tK4HJ9B48I/PFYU1KonDaxxKQTsrk7qg+ 4iEbWiaTR9lquNDZWVSS6tO6YVqC82OK63t5RHVargTrk9C9KEzu1VUCzVqOTrunOPEoctTRuPW5 TMQm5THAad36XHYBTcpKasW3BLATeMOtrKZP6O8qBEtypP74lIB+0DcYS+g0uW/LkxE+Ma47sons WZ9K0DuBg/vZ5BIcHcO7MuGY8DnRRpkATo4cOdKv6pj/2Yu4p0wQJ3SnTyEXeFAW46bl2a8hHJVn 10KO2e6S1J2USfRRVbNzcIj22R6+bFVim8oEa1KSFDU+CCzZ3BJU1nboS5kYTEqiaUIe+1QmorXf JUFQZcp19dC56KdjWdisPr9/f/xfEo4TdcQ9J5xwwqQE73F5eqRrZZfStBy+sYdB2i5J0ql9LAmJ 2hc2p09iC/wL/xZt8xt9KgF5teX6FH4M/vApk9Z+8SqbZF/5Ni4S89DBIH6CnaOT+N3KJPkqE8oo Oj2SA+XJF9mOfjuWBZRJSVAc48PcQ7+jrLrL5KTaDnrVEhtYJmnTsiWBOqiv7T2LfCc/JQlZ6y0T hqnNZYvwMfoG14c85CFH2fmon/6UiVG1d63uleTbhP2POsQ1ZQIctx11pG/K85vKs51iIvzqEzsk 9laOLJVdLFM5V5bNKhPMSVkUrWXgSj6HZAKv8ZNtjX460vU+kWP9EROEHxK/GyNd7FPETGSIj4j6 9Vm80hK5V7fYlb+M2N49Q3EE2VeenDz60Y+e1q08Gbr//e9fr7VtGCsdjn6wafpOrsT5fSoLJdOy +kOG51FJGh/Vd/6qTEYHb+Mr+AxtB6/EUGV3zaQsAB8Vz4rrjblPdDlstD6Kg/r9pJdl8jsdCzta FiMGZbmtny3Gq8CrvIqkvVy/0x9j6POB/R4qjwdlEWRqV/WZfenHMSrX59AfNq0kMwZtzzGdGjlx yimnTMdiTPhvvlN2KFfM4R7f+Re4ku8oW5KrE3WYp43NAeme+JB94u/xg3ziQZ/oU9kdOCmJmFqW 3JZND3VODac+lR3G0/6zR/R+iPDkiU984tRGGIP4fkjG9UGsKcYPPjvSwXVJP8zx23rJHmwC5xZz WLWYm8/gOVsklmcjx0iMaD6gLTJVFuAmJTE1WJzdKItadZ6pPN9ZEuKDsYQKzJ1jDHwbu9YnYxXz Gpuy4mJz3TYOiHtgzv6VBa5pve4pGw6iyOixLA5P2PPoDxkTpw1RzBvop/gj7iHbbJvz7Wdozsoe i43jXvas3x6ZLwtIU9+l7IknnjjUpaPOiW2jXn4Pz/qkbv1ii8hp2Dr3lWRrv3j9vyT0Jtcr8T05 UI6swa0vP3hAj6IP5sN9vzTYwIon9+0OQCsWMroojvWfkT9FQWoGtghgXYWyiisTXYz59A7fveuo CGLd8l8Eua4gWV2R6bdjUJnCxOk9/S+FD/WUraDqktluSbsyvoWp9bQVBlnePsV92itOYXrZuIsD XHsHxrTCLX+BYYylGKLaWmA01rTsd+CjjFVBvGoJz/HEDoxivOpKqlVR52TWtdHytr3Xd9eLgazv +LGKbuW2JTiriywUx1dlzGqte4rjnxbFz6C2PTxzLcYeZTZ5tCrpg4oRmlZNPv1PTuZRMWZH7c4o QURdoYVPK+dWw63+wgC9s6xCWlnxjqR1SBvFedSPVUC4zyM8aVcHrUzbTaSelozFJ6g4ioVsRZRf 5GjnAvkkFwieVp6t0JYAq7ZPFozLaq2yLa/G2lCfMdqdicgWuR7ayUEGrOpZQbcrzwqY1SOrlGSQ ftiZUZxWrYvu2LXal1crcHZRWJF3j5VI/LbrVbvKh0wEz9Q1b5WSvoTOWD3bNJFVOhqE57A3hiB2 iE32YzmuGYdVaCtuJYEcxaZHsoJa++V/WKvHozPqsNPAY4H4bifO2G4c926K9Cl0uy9L5IzNKQH2 3Ob4wiAYlsCryk6cc+Sr7K7zOAIqQU/dVVaCmfr/On9aueiPY6heq9NWyckxDMiklWy7UFrCd2Xw x7iUHeJxe88q3+mjlWg6qk16zx+xReHr1EuX7XqCN9xW3bFjJ4Yde2wvYi9PKLun7QbuE7vkmv7R B7ta7FyxKx2VQLcrk8Aa5/hfn0uAPPiYNL2325Ec2AU+i8idD7uwCE+jjPIl4B6tGi9bfzerbFTC 9oV/Vn+QuuxK9gn/GdeUP1R2KsVuL3Ej2+rR97AJUZYNtBM0SFk7VMukMU5t9ChGsUPLjhL2rkwa 625m51q745r30ZVETN21NeQzFumYnS/kTTvIu8/sSGuxjHr4DjGCXZPkrSQgK4bsB7ztniFvZcJf bzEWO1yGdEF54xGX2bkyi9g7/fGhD/OolaEy6ZxZnNzHWPktfjz8/NCNIfuuwaolcRL96vs/Yz1U 5E3dfIiPuNPuyX5Mqj67XILYNjHYJin0kT3TJ6SPbCj5XySejTmWe/XR/CZkyDlEf0uCt9pz/xs3 HwOjRWJA94yRfod/tMtsHomZxAVhV9luMSXZ7VM7V6Nn6o/Ypl92lf/1m71RL+yC8EB7djyVxGa1 w/pLn9h43z2V4PFRtr8lu1zpsR1LsAmfPmRDYU+P7VIzB+NHyZjHouNxxbbuRb/bhWlHKfuIzCXI ONnvkz6wWZ6+s0t320RX2S++sY85uSxJmroTUDxOVnzYV3jy53Bv/b3+0gE772Iei5/smfh/iNgZ 41WvncDibk+UsQWtzg/dO3aOPnkSQj+Reuw2jhigvQ/m+GsXs1cVbIti3qD+dr5GvtmW0NtZ7bPB ygeZ79CJltgrMQ0bah6D5BX46Lbd9p5Fv6s7Ygvy4v9ZpAxZMAcL+SIL5lVhY+N+vrP1MSUZuFAc Ffcve5w/2162xi2VNyklpAJ5x5YC1PZc/3vrhAiPQGBokkSRw6BzgoKomEzE+X7d/f/V7ZHEIWep r/1AhVEfI0a/T0Pn+mV263+TIBNJgc4iyjzUT86MUgcJPIZ4xahSIHyCq4m9Y18+op7+kRxwht4d MEQcpDJRJ6M+C3vlgnxv/4/z2zr2+7Vo24yhiZBJLDk0ZpMdRo3c+zgP49ZwMqSSATtNeOwRCU4Z 4TWn1fYt+sRWCDI8BkJOJMSGfgAlyq9yNCn2qEgYbbjrIxk24fa+GPrgEUoYCihM2PoTz37bFgZs LY9x0gEO2mNAY7w18RScIBN87XJU6qCXQbAask1sXzvJFbTTQzqwqO2LNsaO6to0kQGPFkiQkFVj wxdHOmsMznOukfSkLwKj1s4M9auPtWDRwk6MQyJQAhDFuaF6tnVuSO/758ba9miWCYOgPPTIhJy8 wIWOw6y1p2SCbO406ccZJfEfCxDa94j6oYEJBJn3qKTJA32xeDT0zq51x+D9NJLBgnyYxSRWwMn2 hDx4hQRbIJij+0O+bJG+0OlYEFCeLGoHT/pyqm26rE380jcTCxM7tooNDVuhLpOYWYkr9Q1NGN07 RGSwH9wOlYtz/f7H+bHjvKC7f19bP7vgUaMxG9y3jZLMrV1s627r0AZ52xax22yPyQSewtikRlLW o8whb3REIprekvuwecv0i4yY8MYEVh3G53Er/q1P2uafJArC1oqdfec7PP4kKYiUtQAVdrNfV/zf j5Pj/NhxWZkYq2fofGA7dG3oXCtv+iWpMqZfkm50hY4iCwtDiVHXWnnzPx+vrWX7595ZRLbaMSi7 qF8RR3h82fvGEB8pkeF+8zAxJXve1k9O+KH2XL15zT/z+qw9r5Px+GfQoeJTxt4VKGlJN8xH2VaP 0fYTblHPKkdzJo8FDiVp1Gc84hy65jUIfAI/LZbxWD27IIka9opfktDxSCQZYRP4xzFZ1AZZpJ+S JxYBtGeh1OOpQ0lR98wieHnE1oIr0g9x+LwE/DL+Zlb78655jJuNt8g1RDD3KgSYe0xWIoe8er+q hSJy63UTbX+9lsciPDlH5pj9TSz9tsiThQJ+Gknueg0C3VlWv9kSr70IzNUnXhqzK66jdgxfPbO9 v31dn6er0RN9ZCPxwJzKArBNWuoTt7Iv5B727byQnvi056LOVY+L9Nkj5hK7Yd8le/nxofjIwhef 7R2d4kRJ4Xl6smrf3Xd0Jm2dmrZ4r4CmPL5bA16B/SqJJY4znCdBIQjtak50X3BDqBDmcgbLBiL6 JzAfo36gEoIxVn6/nKd8Vi2s9nqvgwz8KgRzTioSTHii7liNjTolNVoF5IiXMZTkgJKFXES9cWwn vurlyA4akUXvGDjllFOmE34BO+chmKB78GdsvZcmiHENPYlzO3HkWBnUIMZ/LJjhKPzyaXmcoxpb E47+CnzUs+pREnooWOO0BQycjXfTkVOTKd/ZEy+knUXGWB7dmhYhexKZdvL0HadCzrXJEQEqJ4hM 3tpJLQfZlq2Fyh/6JmGG1Oeeebv7auE98EcSlvOMoIB9FzxZGRSgSZI4F7JjfP5v7cciwyBv/Ynr MjZnkTZ2qoxVeO/uimQCTMgYuyrgJw/sLnseRKZ2ww6SZwkEfUSO+D0UzJH3E8ruNxNP/Zeo6/Ms xrPu0U4RyTTvgiFPEkAmOxJM4gA2Mt5tJynt/KpkF0X4RHWIX84oSVH+K3CJuskkPoYNcD7eG2Wy 2L7viA8UZO5XOY4xL3rkA8j+GPXjs/7ujva+Fne2JCZ8bZlNftdv/kyiTXvsuASgRTvxj3MmqCbu khhjk9p5feIjYiKqLJ0yCZZ0GLKZZEebQf5nQ8g/vTAZDlLXqv2KOvbTURwpFhgj8tbqHnlrY8+x +5zftrzNanvsmjjde6wkH4xLH+1CI5dkgv1hJ9tkOZ/Cd+80sY+eHGrtJHt4qMxBhshCiZhPTGGc 5HjIBw3du4lzZCUSHmIzC818ozkk/XtGeS+aJL1kDz0T/5xZfigK4YV7+QvXZpFklN1q6qTv2uB/ 6fO8e/v1shswjnmu+9Xdynz/nr30P8zN59lYuMBcHAkLsZE4E+beD0t2kDiKnAe5L5KycW7oiD90 nz7QG3EFW7zIvW19krYwj1gN1oeKTC9qV9q69tp3GMsvSKgaH/9i3iLOijmrhRH2BK+ClA0ZjHM7 ceRH2w0Y4taxeSgf7qkiuRN6KlG+TfuyLxKAJs6CbFsmvdR/FTKZtQPIqhSBIRxW6u2AiG3v6pV5 NWlAFF+meVYAWAv2/mDYWFKpV7T+2waRQ9f3yzlOQgKQwbKrbFWyCmK7sheEcj4mLhyRpEoQHpnE MMLIKg75wLNlaCgLP3Y/Ph0UXrVjlJDyKJPVRIGaiabAAR8ZW8YKvn3juRtYsAWRpDIG/ZIsHiOO e16ybezeRc7PwkBQYMXYTiSPUcCP/fGYlEByViBljO0ChWCAQ5eEHWuTzTFBpDOSHuE48FCSVwAu 6OYc1aVvrZ1yXeCAnLdrQbC7H4gcCG7sNLESzunGwoGENsfKjreT1zEcZ40XLrPkbda9e+2asbCZ dqcFZuSU3MHGBANm7eTI+VVwW3fsdjDgZ5A+SLCNTSJcO3z4cBTf2tHjtyYGAnUEK4sUdv0J4gSg EjT6aWVXv1Ylyb9Wfukx3vF5QzxRlv3DQ2W8JB6ZvLSTE3aiv7i2ah/3w330d5mFjTEZGxrrEB+G yq16ThxL3rzcPGw1n8iveIyNjIiV+RZJ8HbhZ5k2xcdsQhAbKh6ws7CVwbjuaIIVj7hp18KY+/SJ PgTp29CiWVw/aEcxJv+zKC0Tw25b3hbtc79cLLjYsexRRDulxOziGvGmRIe4hG7FGOLYr2ub//N1 rZxrSxzRxkVt+3gpmTsroduW39Z3/TDHMqf1mLzYErYWBDw54hFaO8Ql/WdPHwAAQABJREFU39qd t+zeIvELHY34kb7TYefEj8vYTuOXlGl3m6tXvLbfiFxIrIor/JIrzMm0jw0T/Gu8jsOYY25qnIvO M/FG2Ujc4Sfsl00ARqI9MMa7g+Tj7U6FvzkL3yLminhfPod9iQWxwGA37Iu2zbXahRqJ2NCt6Ft7 NHfz2QnaFwnAeHyOEswCbhZgHI33l8jMxy/HWkU1wfUcP2ck+eF9Cgyp/02APV7YJghntRHXtLVM 0Bj3rXIk1BJkVtskyKw07BZxpByODPesHZDz+sf52lrv1zo5HEbQL1MxtLYwC0Q9nkL5jV9bts2v +z66ef1a97pVABNFxslW+kWdwrrtul/SG152xUn2xUoQ/PDNY0WCe47LJNYjAD521zFYPuVFq9Md VJvo0yp16FtryHdKz1bpq3sEOhKB8a4e/ffdjrRZk4L+uATNHmeeFQiYOMR9dvS4J8hOJfpkNZjj PFKSvX79U6LdJE2A7n8BMf2TvLDKJnDY60QeBAG22XtMJWTYI65+pZszJb+CBnYlJs6rjCvwXeXe 3bhHIGkCIDjyGEobeLOrfKBdA1ayySSsAjOTdJhZFJNk2E2iN2OJh93sl7Y9BmzhyyM7fJTA3y5A uiVBR9/t/PNakHWoL3uSLR79bO1hv/7wMex9+EfBaBuQKhPl+vcfxP/h2MdyP43TxN8EXyyL6LZF JvGqRW0yZ6LKf686TjIVk1BtWAQUB3vUbUwPtRXJaBNZcYY4mr+hv0HK8DlnJ1qVD/MwmqX78+5d 57p2+QyJHYmm9jU6eM0P88cWk/kVsmOeZYGSX+GP2SAyvFtjMH6y3N95uEwCdh0M172XTafzFpTN k4wlYju+HV/osPlSEDlcBW/38RGtTYg65x35wzYZBt/96m/Ew3Zgs7d8PTzkC9hdSbdIAPZt5Kr6 T5da7OZhHdf7Pl77+0WuYwz8mlyNBUyxfBBsLfCzL3ydeJ7c4wufgweHin0h/54Aowu7SfjX6hzZ X1UeNj2OPZ8ApGCxeihZt44QS0zJgjOcsZX3EY94RJ0Um/SaBAviTZ4F7BKGEjV7hVlDzKfojBEn 4PHC3UoAUkqrffojyUT51iHbexlbgaTgM3ZRSQAyvFYVteUxr1vc4hb1s2yidp3+LXsvAyAY8lJW AbxHJBZZiVu2nbHyEsSnnnpqnQSWX4Sd7gw4q+zaLL+GXbexSxJKsHufAtk3gaAXDJYPvg6ROoxP snDbCSPGXRsMPpJwbicXQ/2Lc2GEd1KfTYDaFVNtc1h24MxKAJogGWc4f7ItMbOIXhlnP8jiECUE nZcwt8Pz9NNPrxNJfZQkIiMSQIfLCqfdStt4TGuVADL4N3b0riljkcBmG4yH/ErMSMKQ6ZDhsQSq XVHsCXzdf1CInJVfCq2TsPLLotMEoEmB99l4pM8kjszwed4RJ3nAjwRm8B0iCxpWp9nnNtk8VHbd c3x/u/hHj9qJzbz6yV0seswru+x18YJ3+5FBONJv+mQS7D1BcLRAtepurOhP37/RY+2qfx4Zf8g1 O24nIl1B7Cfbv58o7P9+6vOm+op/fihAYp7NInMesS2/2FiT+bA57rjjql6u2ib/Q65jsUR8xyaI DRYlOuqjLvrLViD9M7nbT6TPcE76KgLkzg8bWVTmZ9sEYPnF3/pDNRaW2R2LSOXXNGv8YjE0/IqE Cfnok4ScRRO+mo0bKtO/Z9X/xbcSDC0ZG34vYlcXLdfWv8nv7Hjr19hyi7gRE5tj2HAQPtw1Cat5 RN+NLYjs87er+DB9NO+2Yx3BVz/2K8GglQ14wqpNJLexinFGHD9vzOqAfRDcVsE8fHzYXHrY9i/q 38tHu9pPOeWUunBgns8OkEOxlbmsRWm4wog/tGHBwhh/EzZmKN6H71llzkpvzHe2aV/ga86qP6FP 7F7o5zz8t21f9nwCUFKOIwHguo8NeG+DR4kYRBNEwY2XKHtMhxAwVB6vMGm0nTdWzOcxaTevEyQK 4X1hYWB3oz8Sp4IBhoaBF/CtQ3YqmaBIBN7xjnec7uzxCKQkBkX3fLwkhW3wjMBeJoaLHAvayTGc dpIkOCRNGcdwRo52AHmHhQkgHbBKW37ifvBlv2MBsISiuhjrfjC16THSSw4xnJnVHZ949GisPcGL beICIvq9U8RutcEADAVjnACn1hK94ZTINxvF/nCCyAov22VSNovIFXsggJbIEeAi/7ufQ7zb3e5W HaDdqPQW32EqkQ5f+CzzsudlHGgEJLPGsMw1cmc3sAkwGYadx1rvc5/7DPqLcML9NvyCsp0KdrnO e1Fy/969/L9Er9VSei9ZHmRRza5fdgHZGXjSSSfVR9OjTBzHMLPoZFHD7lIvfd8msZkSjeQYGY++ swMh40Pt67sYQiKUXI8tYgzdu+g5fTF+jwHpE79lgsMuii88LmZH7TJ6MtS21W36G4k7dk87cJlF bAe/I0lrlVzQK9HNBiF6076jZqyudfs/Vu8q5zdtR1bpw27e49U0V7jCFepTK3yKXc9nlPdBetyc rthtyhauSvwkXxCL72RNApCszJuQkiXxKLkUo9E5chfvCGSz6cU82ra8LVO/hGU7MZ/X94N+HQ/Z fjFV+zisOZZf1PU0FTKn8uSCnaP9BQx49mNK8ZI45aEPfWiVHbH/LPu+Ls7kvP8+UHrDzxwqi6az iP30GiKPO8+Ly2bVs841sWSb0IOpfsMd0UFzKOVgLR5YJMHJr0RsQE/oPv+xCi/4GkmQeAyYzw4/ Pmvsy+jnrHo2fU3fY/6hbv2Ed7sIKiFOtoI35uZsZzsXGOoX/rRzQ3K1SswinjMXk+hC4qBYzKkn Rv7sJub9tvXdDkDyE9fg6RUXngpF7IWnNL0azkJDn4Zstjoe+MAHVplmZ8Rv2yS+2OJryAL7Zq5h jjeL+Bz2FS/bHZCz7ln22p5OAFKaJzzhCXWCL+hYNwHIKQlOKBQFPaG8I4UyS6IRMMaNsEkmrBM8 LcuEWeUlBNpdVQS6FWrGIiYE7UrQrDo3fY1D8U4Egs3oUcp5QeK8PkgA4ouggYJLljBgxqt+PDxU HN22E07z+tle168gmLSGHM/CABjTpuWrLyNt2/pkEojwJ+SE3HhUjWNCDKGAayj5o+9jk0S/MqY9 P9CzbX7QW++z835IxBFbcTZZaTGoF5s/duJIeNgFvJMJQIa/78DZtX4AZIJlTJJP3kvKDtndI5kH W/d4hNfu0VmyI2iz40t9MImAzSMKkiDuFbBatZf8a22fHZzwmVV/A+n0a8iTE4LMflAfBcmQNjdJ Aia/tBwybLcl3IZ8hSRw2Mp+HzwGa9wmK/spAdjKPDlhd1qK8UocRaCDPzCLAF8dfjDAO8T6pOxY 4CjZQPdNoLadABQsSWjTB5NP/trjY3htV8kY2ZVul7+ASyzR18Wx+/rn4RBBaBzbMpL1XgL++Mc/ vpYTvJJ3PsHK9Lxgr61r7LvxSwKaeCM7diXx2YRZZGesned8qESMiYp7xEP03+RAPZJKsyYocN8W wXRROyL5F7K7rf7sdr1tjDfUF3buNre5TV3McZ182nGKn+SQ/1iH2Ao7zj15IdHBdrItHrkSj42R 9u0qZhfcT+bEO97D691k4hB2ysSOfohHxihs+tj1dc+3sg4/nyHS30igDF0/iOf4hLBzcBFntTJJ FnyUa3kobo+kMVwkB+0a7Sf/XLMg1cecD2Y7LaZo0ys7tkn6zyZKlPFzxiyJKdaa1bbJuUVDi+qS DxJcgdc2+9vWLcZj2yMZpX140rV41YfEHd/u3ch0U1n2njwPxUhRv7mcH5xD+Gt87MqysaH7zQXF FpKldF77NkOwKUNy4R60TX/z1RaW/8sWko2IswIPvrm1uTA3J44f8vO4PExnJXIkXS2ShE7w0344 LOK2ZXor3oO5uD/kw2YC9jeSw0P17STmdC+Ibem3bc6DjB8m5JveWXgOIpt3vetdB5N/yvYXCtWh HXWQaT8uu22ySclcjG1EsSgvzzTLZpAfr6SzwWmW3KzT/9WXCBdsFeNax+G2EPChKkIQOAETdjuU GC47vA6NrMi09fne/t+2QVkBjgHAFYQQMvX7UA5BtYmFiYNVSucYrHnUtmkM7f/9ewUULfXxaa9R EsocJAkTiuEco6HPgpm2XJRf9KgP/X7Nutf4lKdknsX3Czz6IgFEscIwtnW0OGpvlvBLXLiOB496 1KPqew45D4aXQRM8cCgCUkdOO4xy22b/ex/reXxqr/ve/t+vO5yZcVqRJ2dB5Cscqt2R8ThWXI+j /vX76P9Z7bqXow9i9GK1Lc7Fiqx2IykEr7acyeqYjsVO3KhPn4xTv0zc1Nl3VO1YlO2PK+qKYx/f /v/KaUeSMvpJRujykSNHRuu3a9Tj8VaNVk0AaLsdj//RPL7Au78bVp/tOg7HrB78kbijS/SKY5Ok i9VpvJLo9ELZMRwlOWLyRR5aGWNHtCsh9MQnPrHixbaRS/3wXYDC9sHJd3ZmrC19Dmp33+onmzBE Ekbsekvz6m+vw7r9Xz3G0yYD2MCxZAtb0ZZ1vzrhLRh1bxuUuK69ts0hmVRuXdJG3/7iV2szh9rA Z+UQm4OX5CDI+2GdozcepwoSkAbRW8Fr1BPnHdnVl73sZe2paZ9g5p6we22hFjPn+/+3ZfvXhzBm Y/xoTTyWTs74bxPF1h+29ZJDMYRkBDlp5bQtN+u7fqtHwt5YyQ8/pI8tkR07ISVmXOML8c4ky2Sg L1dxb5+/2uifi7KHSvxzhzvcYfpKAf2i732divL6IeFuR06spLumjVvd6lZ1h02UlTxSZoxPxm8n aUv9gL29pu0Yh+/xacv0v7cTE8mfoQSQ/rGRrW/Vzli/taHt9nrbt34f/N/XQ+XHqK1XmVllx+po z7ufvsavF5pwku+hevmHeEqFPsBE/CXh3CZT2/r7PNP//hiUF795v5jkjbrIjJiLvrUxQ1u3evw4 yWMf+9gak0mqqCfqil/ANhYxG5kbGpc62TB8bskYZ1HImzJj9bb3t/Km7/3JYpTlmyN+inNtW3Gu PfYx7f8/q+ysvvevqbd/rq3b9748z7Ixca/4IxKk7F1/3gErCTMxY5v4YItavSWPEW9G3Y7k0IJn 2/fANO7nV/S1pT6O/f/bsr6317XVthdl7VKVaIl+0j0x5dhipb6LZeL1GavGlPoyxJvo19Ax7tE3 70WPnVDKwsoCuVcBhK/j2yXijTHGLyYQS4r5hkhi8Yyym5h/wV/jszg09A7bFt/gX79O/Tr++OOP +hFHSWLJ07F7xDKe7Gipb7vaa4t+D/za8n0Za6/5HvfA7dGPfnT1k84h+NhR75U57RwMHywmxzl2 3I+1tH6rVvC1P+SA7WQXkdjd4ia5HKJo3zU8aP93zpg80eM1TkESl0fKPKkvc3HdBgHxf0tj/GnL 9NvXl0Xua/VGvNTfFGHOidii4JH5in4GiavGFuwlX1sdjn6qw310o+8n+/Lc/h9ttsf+9f7/ykqA 3/nOd57G3/B52tOeVn1Kn29Rt3meOWv8ZkCc3/Rx4zsAgWty4YhpntOOXQjRec7EwFoChHsEGRJa VvqtbsTuA4yyQyWIgWCoCHM7qSNI6pYxVacAKZjssVHbRF23iq6dSJrpq0CFQhMMBtQ7ujgwxlMw RNFbIlza47D0JYhhFUzrmzq1yYnqp3PxKESUV1Yfo2yrGM7ZkcUYGo86GE6TXH2WqGSYKLq+Lkrq 0meGSRuCunYioW59Dj4pjxx9GDKOEoacYUwoBX2tQgpmlWEQ2iAKr9Vv7IydyWk7QY1HqvCfIkii 4EsQPsGM09YmPLTLSVl1ZjSCBCuMiz60suI6eeOM1BU8NxZlYRukr8ZBMSm0j/ZgF2S1U8JaWf3G FzJiUigJZTsvw2MHVsikSbRygasyzrVkEu4RrnDq8Ip3qUQ5umGyqT0TBis/2iSz+sKwa5MsxWQU RlY/7QZCHKwA37vCrD6RgZiMeJxNvc7pq+9kQ5AoWNe+cUZ5R1gpi+iIcjDVrg/84AxXbeMFuQiS /GXEBep0MVY16aKXu3LGZBZvH/awh1VddE3d+GLC4Jp3c8HDj+R4x9mixG5ZKY3AQ98jOI06YIBn cGD84XaoWaiAF77AvnW85F7frAIZs7rxmTy7B9mN53HsBzzgATV5TC5tXbcy7THXCJCNk1O0m9N7 ebRvVayd4LBheO8xfYEAmWdnoi14he1zH33zYVdgGtjHuNujvhi3gNHnSAkyPHZCTvGfLJBF75pk L1tih42ZTGoDn/GUfLkv7I972FXl4aVe4xFgsevxSBldl6gg164Zk3roBRlu21eHpDwM8I4vMA6k v2QT/8llkO/qh437lV/l8R+yoG5j0j77Sx5aIn9W7u36UsbH4kr0UVl4GT/5Zs/1ha+4+c1vXsct eUc+2MdIFriPLvCv+uFjdZLNJXPsLJmHpR1tMIcjPBA51R4/Tq4PfU3e2Va2Rjk6EaQudYT91gb7 aczaYC8dg3wXCKvHPfiMBNV2GT/4wQ+uj/XiK3tF3yVD+AFyZDzkUALB+GFk0aD1L9HW0BFf8UY/ +EeJYzsW9Ife8Edknv6QMZjTH3zyYWvxijxZvW3jBjaQfCO8j4C/nih/YKU9vFKnetj6mJzafcVe SrLwwXY2a8c7BtmSVufEGQJNbUhCSqAGwfTud797d8opp1TdCf00RmNgz+AAY3y1aCCR2hKdUrd+ inHwlB2iI/TXB7GZ9Istp39h+8MHRp1kUhvahLvYUdKIDLjfefpg4qufQfh9pNgcdSvLr2iDTWAr nFdfELnlT8PXwJfcwlO9xtWSfmiDDpBdcqG8cy3/1EfuI06FSRvLtXX2v9NdeqVedcbOEXrJ1thB QO99+BOYi/ckcj26r99k30Q9Fo20wYaIL8gR2ZIwaLHDGz6BbrXyhv/6fuKJJ9Z4lf7CxxH+Jqew IG94ox4TWHIiNrfD9MY3vvE01qCbXj1BL+FpvHy2mIYu4ReCofvptQlzS5E00Ddjp8/0ia66L2I7 fNEnOstOhY0iny2xpeohs+5n1y0wRF/IG5/Lb+ENDOkEwh/8pZf6gUdhz7Qf/FMW7hGzu999+qe8 OmOXv7Io+u2aevVbP9zT+kNl3astcm8sPmSdDrpfLEm3WyIn4g1+PuwF/8D/ugcpQx/F7OwzPpEd 8QB83I+HeBGLMu5jO9hbPFQXXtM18uA+Y1AfH4XH7o+YiuzjlzGhQ8Wv6IfrFiRh5wjPILuaxFLG T15hqx4Y4EMkEZSHhbphqC6P0OMffD2iTDbJgHL6bee4V0Wxq+qnN3wp+04H9Essxv8GbtGvsSOb H/YFDq39cA8dhAG9DVmLumBHB93PzkigqwOJBcVcEg36o54gOHrnuN1OZMH9dEuf+QX8oiNwJTdi SAlChO/iAjjgFaIXbAp84xU1zsPDh2zoD97xM9phY/kbGOMJfYKvMYX+Gy89xDvvJ253eqlfrMZW 8XfmGq1fdX2MYM7naguu7TzUPXjqHB73MTdG/gJm5B8uxojIs/FJ9BlDi7kxew+rObInD8ikH9nT BizZDPhoj7yxD2ItOqXeG93oRnWOY5xIOf5MX/kz5YLwjF1mK/gosUNgLl5SHuZsiCcBkJgejwJz NtAPmcVcMOpmU/VNWbJAv9oYhk643uqkOtmwsEv+xzN61BI/yebgNx4dKT5copiPc47doJttEtP/ sNYmIv9nlGS1ZKc+IvJJzs0P4RUEMzjQIffBltzDhw8xBj4mKOw/W6Ccfon18D/skRiLjASxLcbN rlgYCf7ZISoGtSBN9vXD48cSx/IG5ALpL92iq/hlNy9fuy06R2HOVz3ahlqgKCatFBlxcgxaSwxO uxoY1wyeMFMahoLCBhEWChBMJsgEhAAyhpiKCL4AMH6G3qNdBBcJ3O573/tWJtQTM/5QZkwHj4DK hFIwxLgi5xlbgkpQGD1CjPQBUxko3+9///tXgTQh0V/K2paNd0hoU2LD+4JaIoCEx1G7HLPHBJU3 WSB08PAizBCk9v6h7wyhSQSjph74+R6Y6zflPFScB8MS59XlOywZVY6+VQDJN87US38RZykoVIYB j4m6NtULT0EIxff+xSBlrWS1DiautUf9VJcj4yBQthPDyjWjgzgTAYc+tLLiGkMsgMFrfRGowBKf yC35RYyy+iSWOULBr2SM80EUlsE16ST/gjGGnNFgWDjsw4cP13cYxCQBT+38ginewrTvoAQ2EjgC NmVMOvGubZs82SnpsQQTLzLP6OCHCaP3/AkQGPmQYWMU8HihagR6AkGTTPLLQdFnxorBhSlZ8x3e sGDgGDw7U0477bSqB4Ij45fQaAMcukvvwzgqr98mBnSfo8WfkCd2wrjhbSzaCGIf6JNghTHmROkR /gvs9Z1uwpO+cYr3vOc96wQp6ph3NM7WieBvBKdxL4cokIyJEFm63/3uF5frkXOhD+wVW4Hwx8TN JInBP/nkk2tfjUfARaYRLDhlE3l8oG/awB9yBUv1cyomx4eKvkpynnDCCdOATT309ZQy2eeAWqfo Wp+0LZDAY2Njj9i+NoHU3gNn2MZOK/aS09IX/ccfusQp0zc6TY6RwDACbPrvPu/vo//6Ce/QQTpK hmFOX/CGjZXQ9O4+93DsZNjjKqGr/Ans2Gh4k3VyjNhSeo3XAjO6z4aaWJNhdpF8B2Zk2CTHhNYY yCf7vizho0eHwg9oh+yHnYU9vSfLcPS/D58jqRQkaOHjJMXgZOzKs2N0hOy4j0+W2PcdscN4Zmx8 Lvllq+DB7gsI8c3iDhmgg3wNHAQ25I88C4AF6u5he8Inq59cI22qA69hRu7dr094FpMGPinK02P2 EwZ2WoQ+4Ik+mcDwV8bIBhkvWTB+wTZ9YNvwFi/hJoBbhPCErui/oJHcsi/GQd/YXbrAHgtOTa5i ciTYhys5ZGctPsSj1XiLHya+yHjhHzLgHLnCc/7BmH3Y9Xayw06yB3bQCEDZFOOnR3QDj9he19jf w8Xn6KOgP/ivLeXiV6D5ITbCAhr7Qodhzf77sKFsQjvxgDV5Uee9733vKguS7HTN2MgC/XfdB0/Z dHwV/Pb5oR1xjomAvolxvJMWFhF0iydMQNjP1haz/YeK3NNdvGMnxEP64SNJINBHfAP+wUq/6Dwc yDefqH38DsJjfTZ+gTn5i/cdkw32BalLndr2HeYR50ZdQ0djFSMZG3lWpyPCf/5ego4u0CO6Tl8R O2bHX9hWMQb+BfEJdoDqD1thUY6+BzmvvPH57sMvaw/RV3bTEx7qYmNiUkb36T3e0DeYsGtkwmS/ H8eqS2zEB5F793gdh/LkTdtnFX8tXpH4ZGsDW32hdxE/iFHwl+3DD2MLe6AsUqc4jd9gc9jtlsgF uTUxJ1OHivyIHY0LaZuvYpfpn0ktnUDKKocPdumYyInjjIvMk01+GRmXpC25gAH7IEYTl+JvYFEL lz+wj4SsBA35swjoXnW2MTF7YUJMpi36nFD8vliCXGiXHdL/1sbAEd/YY/qiXu1YRFBPEDzpI33G CzLClpFDuqIfYnT2iUwgcquv7BxZ0Qf8ZYPYJ/3hG9hm1/DT+3v5G1jqB7tLpsgJG8BH8BX6KSHB poWfNA5+Xr/5YmMnE/SALmuLHwsSMykX8YP/kbrZCPEXOWc/9cfrZvCCz2MT6A675ugaXewnNqKt /lEbFmzOKAkLYw+/F3ZJeTZRzE7nlQ9S3njYaHJJz/yP/z7wJYfwGpoDkklzIDsbxTpwPFRkmP7B QHtsu/OSXOp2nZ551UA7RvbR/CNiO34G6aM5nf6TFzyhW+wmUqcYke8SD+K59sk3e0yHje2sYgO0 QW+VCSJ3kSwUA/Hp9GcW4bP4xOK47zAn1y3mdBt/yVLIlTqNR5/ItD7pi+vwFnOQXXEmzNu5WNsf cZ34hT6QRXWKQbXlw3fDnOyJSw8VzOkAzI01CHbiGOXJoTGwX0jswbeSnT7m+k8XyDU7IzaCtw97 ZDzGBnc2F56tj1cn/4Cf+GquiDd0HumXeVHIQD1Z/sBIG2FfyJh4vSWybHHFgqqxaMtC7mWLD2Vz YGbe53roKV/pvH6IF/yvvEQZO0Bn2Av2j4zxEbGz0tjEuGw9m2CeJt/C/tBJdcGinX+TObkfssiO idndK4+kLXZCOyE3ZEksIk7UtrlcEJsh9uNL+TjtwUgsTP6Q+tg/vBKvaUe726Jzb7pig2Lkw3iF oPfbCUca5ylGGBBGpE8MVKtkBIZwYyoG9Ylx0ofoBwFlBDCPQSLMBEebLSmPmQwEh0/pBVfuI+wm p5QUGad2CHk7KXNNPa6p33366qjtobLaVD4ESR1BFNAk0ztUCAiFI0QmIAyRFQjbvIcMf9TRP+IT BYw+EnSGqU/GEUkL1wIvATiF82nJeQoQJPDAa/dxpALYlgKndtwU1os+KSrDQxGMtSX3xYdRi6DZ rhZKzHkzmEgfjHdMVgJ7WCinv8oKGAULLSnrg5eBRVyXeJYAZKzIC6MqOQFbRlqCQ5KBTgRpk2yQ C20KFH3auo2zJff0z8FH3Xgl+IxJm+/kAm/hQe6DtCmIETQJDvRXMkeQzqgxYvpGHwWCglzGlQMX vMNVHZJDgkd9ppf6ACPG0GS2Jf2GXeDnyCm7lywz5C0pb7w+LXEWdrSo38SDcyUH+m68+O9ehlXf OBJjXYaCN+7RP5MJnzHexNj6bZAHCSoBN8fErpjECww4fgEA3CTOTcDJQRDHIykm+DZJNxmjt5w1 7F3HIziYvNgBYpyRkFAPG2aCyanii8AiEgzRjqP+uy7AYC/1yz0RkEt4m/T3iTxLLukj+XCf5Cy5 D/5J/Jn4wFR/BCrsuX6GngePyY/vxkb/Wh2M+vTTd1jBjAzDhG0UHJtMw4v9gI+AxK5IkySywhfo BxmWJCIjJ3wtaart+JBJthXhuzaD9KHvx+LavCM7I7DUfx+4CiZRyFfblvN0RZstwVGQob8mZSZd xi/Qhy99lxySvI963S+gJ5MSOyaIgj5yyW4Zs/pM6tRtcYYtIGNkQSCDZ2wKm4bvyJj00XgElz5B xuLjenwn89pRtyC6JWVci/JxjV7DiV7zEwIlk+nYHcQOujcmRfTBpJW9WJS0SQfUw/a19jrqwIf4 xDlHfRNAsqOR3IjrysPNuMg2uYtYIHijzaDAIP6PI/6wx/wsmccT/BPIkvegy5b4xg4VdoEORRtx nZ20S4EtUI8JPbskocLO6C/dMX42HplIkDl6S76UjzaVxQv4GVvflrvfNfX2++IavyfA5kdjIkiO 8dR9PmwoeZYIMbkyBu3Dkz6RWfUj8ghr/XRPSy22MU5HNjUStlFeWdeiD1EvOe/HQMpG3dGPqGfs qJxY0lGcK+nZJ9d89KEl/ojfEPeQh9a/Kxc6Bh98E0uhwF9fg3zHw/accuJr9tuEV/KD3fThI/AZ wRjfJIRgPTRpUZcJGPnl99gePOSzyZvr7CmdY6+MTVJN38mbD/nC0+hj6BO+jeGmPOz6pO/0Q3/o LL8lEaxf+oLP+kL22TgTWL7JWH36fgt2+KMvYsc24ai/wcM46hcZ4o/byb6yPq5HnY7KiiUOfW3+ EeOJ+kI26KRz+qGfs2yMOpTVnjG3ZN5hkixpI56Ej3dCivHpJFwsNoYMuJedZZskR9lnvsjH3IVN NgYfiyNspTbMCSTdyJS4khzxuYGJ/uGF+9h99qqlGD+8ENsd5SWBfVoKPTbmIGMns2Qh5Fy/9cfc whgDT3Jpcs9ntYmxqGvsqJ9sFF5qj1wPxaT61Y8rgjewlzDQF75Q4kwfnNOvMdIWe0x++Hv23hzX 2OgiOdE/45S45zvYisMlsdiP+eig/ukTe2xe15J6jLEvU/osnqBL/DY9E8uyXfrkPnzjb04osZi4 wIYFfdc/+i9eU2/Ietvu0PfAXL2IDRzDnG63FJiLYwNz/iYwp9/9sbf3+27BS6KSbT5SEmf0iEyZ X6mLTBsfmRYv8T3iWb6wJX2JuBgOY/GScq1cR3wIUzyXPIe5eSm+I7xi380fYW5+F7KuLT4Ejj4o 9Ee/fWDgE3gp0/ZhjF98HftBb/kS2Ig9nNeuuNOck8wGwSzicXjKh8CTjTIe4zUedsLGEnNE+uxd esqJy8gfnsTOOr4XtvpP7vvYG7cxOyrje9gXfDPPbUk5fQi84ho9Ml7186PmKmJpiwLGa2xIfeZT fKUE4TZp4zsACYtJYH/w6w6CYLaJJeC1E6i+8Gmf4AnQGCsrgHYNcA4M/V3ucpdqvCggCoF19GEc JRYoimw7hhIcASrmKMN4hiFUT78PBMV5Dk19HJz/h8rqrw8B5ISGSNaYAFNiRpiiGB/lo8DLEAE2 cYDHJgkGnIIAAcWqku8xdt+DjBlODJQPhTYZN5nFczunTGAE9oFvyyv3UyLOxMqVBIvrnJgkBANs MiEoivajHn1QNrDnXGGqvDKMYL9slDfp4HiV6ZNAyceEmtExDmUFOv17yDDD12+rX2f8r6+MrqBm qG0BNQwl/rSt/2QqAqGhe9StLF6dVZKn7ocXg3SoBJvuZYRDLo1LokHCjTFTBu+Qc67BKfCuF772 J7Bm8MgJvVIfmlVe8Ng6gq9VVw/GTC8cJTAcOQLGGeb61w9i2vvHvuONiWaMZaxcnCfH5H4sEIOr /pFV39WLjFsgbPVrVj85KrLCgatHgBq6I3jAgz5G7pH8s3PFhMVkgPPDN+2i6IejD5vA5nFSVuol aOFv1dfEbIwigGeb4cYX4AP8TQjIkXGbZJEtWPnEhIKcsmMSdO4NeejroDHrp0CMHAWRYZhoA06C Re3DhI2ke5GUDN0krxJb+hgTCzIq8RkTtMAp2omjfgiYyfGyhC/6QB/H6m/rDN7oa+hhex2P2HPY OwpoyIO+wWksAcYv0Xm8gxlbqi1yKJnQJvHxlG778IXwIuvR/0XtLD7gu6APDmH7hvhMTsh2ey3G re/6wheSGbzHMzafrOlj27+4b96RTeJr9W1IBt1PRvAfrmSntat4oE8wDJmKe8gmmYsxz+oLPmiH 7rRy3t5jzOy2oz6r28RQn8i89mfZlKiLbeCz2H1ySQ74GfKmfUd486nqxz8+2fgd4W2SZuzsxxBu xgMz/pBc0s0hwlPjEV8Zm/q0iZdk2b38PNukzbAfdFu/9FeflBnT4egLuVJeOy1fWnkLPjhqW7lF 4glx35jeteOGCd1i18dwiz6IO/QhdE497jur6DB978eBYZPxsh1T23581wa8+Mw2qRPXHbVj7HjE XrDTeOAetoINx495JG5mL8Jn899knc6KaU3gjNVjceEr8BR/ffgv44XbGC/0AbbGrfxYv9xPL/XH +OgCfPXBnMO97KudRPqoHyFr+sK/0DOyP29O4n5ywcbAcIzfyvnQXW3x92Nl8c04YafPfJf6lZ/H 88CIfzcG97SkD3DxYWONz/jJYPCpLR/fte8eeuxIDtlTeLmPrNBncsmu8AV42fprcoXov+vG0reb oRf6CSd1qodcDeGlPlgp348fXEPqDDnHU/Xhv74bt76TiTEd+Wotx/7VJjljW9chmMGBTZSgNu5l iI6LEehu8NZ8MPwVG6JesjREbCVfgQLjtpxx+rgm0Tskg/AMfcFb8mFcZDD8DRthB6HzYePJnu8R lwzV3e8LPSMP6xC89YMtgpN54rJkjHgPv/DVZIj9OFT8tXGR36ExkUn+jOzOwlw/xW3K9ElMQv7o MMzppvL4DHP9wBeL48ZK3gN338mF/rGX9MO9Q33tt0sW+HxtDBFcyBO7xQ9oW+wipnAcInjgKzz5 IbE/u60dfeSPjEf/YSaWoMdsEKzZYDYPwcH9aAxbdeA5/8YesYXGPoSB8eofXOnREBkzOTBetj36 rm/6v2jsMFT3Muc2ngBcpvGdKiuglVkHNibaWm67NAM6iyiKlUErXRSW8ktGxSM8s+7d5jWKzIhz lhTzIJEVANvOjc8KoGTBmCOKcVM4RskKh+QGY89B2EV4+PDhKLbjR4aCE2NUBLNjE55tdIwhjxUt gdQ8WY8+CATcFwGkiSej2icGUdmxiWm//E78Tw5grl8w1++91D8Y6KMJG/74jvRVECe4WZRCtjga 4yRfQ8TpWUmyKMNZ2SUkCThPFjkkwaEVKwsOnLLEvGTiPCLzxkdGOEk8CD6QKwG/vqgzPv7fFGmD o2dDZskB/MnKkHxvqi87XY+xkw1jo/NjctHvl/Iwgwfi68YmOHgLs0WCv3472/o/9J4+zOr7ttrf 7XrpWvCPzNO3VeXaxJAc4K86+rqr/tBbWPt/G2Q8bAnZ1Ebrx5zH89aOsGnb6ss2xref6yQf+EPu 8ICtIBOrUPgy97Y2S91i3VbeQu5WaWfePcbEtvEbZL/ti3P0AkUfyNsm/da8/u3mdTpo/HAwfn5l 0bG3euxecc6QnkasPC822Ukc2lgmxu14UCjGF/ECmd/p8Y35G7JmEXen9H+neArriFdgzb/yoztJ LeZ4Hsl2mIvP2T9989kpOxd+QNv8yaJ2gAybs+o7WWnjhBZT131WjYvaujb1nY8Lu8qe6ttO9u/g WLIZHDHhlm1FwLXKQOjnkdVbW39jhcXkai+QrPZBpUhuGp9k7VgGvR0/pbfrw5ZshkMCkKLvNr8E SYtOwNvxbOI7pxITt2Xq44gWcUaM1Sr1L9OXZcuSg2WSaMvWv4ny+hgrT+vUt6hscapWWoPYvkUc K5tnJTF2D4XzjHpmHdnWMfuq7VVWT2e117+mjUVsJF7spLPt93Mb/xt7+Ktl6ofFWMKvX89e03v9 W1Qf+mM5KP+zx5uyfWNysBO62/JDIB8Tk/a877NsTL9s/r95BBaNExZpeUx3yfS2fUXbv1ljMhFe xa629e/n7/zDqpsNZulxi8lYzNCW2envB93O7IXxjfkbOreT+r9TskWXNuWrV+3zLMwX2bW+aruz 7hvzA7PucW1RGY6E5rz6dvI6H7fIXGVbfdrO0u22ertivZJDdoQhq3x28Nl2OY/sgvGibdtmkQAg 3qEy7968vhoCHusI42SbrUewPXIzj2zhPaO8yDPK2gJsC3FSInB2RoBzad9F5F0YEoJWIWeRRLxH 7DwqgAQF/fdozbo/ryUCiUAikAgkAolAIpAIJAKJQCKQCOwtBM51SqG91aXN98YKlEeDPHftMWAT YAkjWy/tDLRF3W4x/3se3ONyXlLqhxE8LnxWed7dO3D81LSXSu5mxnbz6OytGq0C4Ifn+/HC8/2O Hsf2sd3XR4JCGY9oe4GslwxL7HoU2EtU/TBKJmv3Fm+zNzuPgNUxq6gWPLwvw7tf2EGLG3bK0jWL InYKOs/2+aVIj+J7GbB3SXqXhh+Q8eJr+pmUCCQCiUAikAgkAolAIpAIJAKJQCKw/xA4W7wDEFvs DJPQ84tDXnDvpZOSeh5xM8H1qKntmBJLkoM+JsTO+SUW7xD0q1XKJm0XAdh72bh3+uGV5+Q9uuhd gI4SsM7hqXecSeLilWt+Dv2Wt7xl/eW6sceHttv7rD0R2FsISPL5pSn2jz5JnNMVL/U9VF46a4e0 7fGSghZI2Eb6ZJegX9Bi+7yXM3ZR763RZW8SgUQgEUgEEoFEIBFIBBKBRCARSAQWQeBskwAEhhdF mvz6FU47Yezs83hvvLBemXgPiEmxBKFfY7n2ta9df/1pt5/b17+zC3n5qx9e8UukEhL4JdFnt5Lk n/co4JUkn8SgxKxHfu36k6iQ0EhKBBKBryJg1yw9YvvolSS7I5tIn5B3fNkx6B2Ffu1KktAPhvjV 1ngs/6u15d9EIBFIBBKBRCARSAQSgUQgEUgEEoH9hsDZKgEYzIkfiLB7TALQzhcTYeSl8BJ9dsdI Kpn4mhgn7Q4CEn6SF5IVdifFrxfZmSn5591kEhU+e/Eln7uDWraaCAwjELbPY/WS6nY8WwDxigQ/ 7sD22Q19uctdbld+nWy413k2EUgEEoFEIBFIBBKBRCARSAQSgURgXQTOlgnAdUHL+xOBRCARSAQS gUQgEUgEEoFEIBFIBBKBRCARSAQSgf2CwNniV4D3CzOyn4lAIpAIJAKJQCKQCCQCiUAikAgkAolA IpAIJAKJwKYRyATgphHN+hKBRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgT2EQCYA9xAzsiuJ QCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCicCmEcgE4KYRzfoSgUQgEUgEEoFEIBFIBBKBRCAR SAQSgUQgEUgEEoE9hEAmAPcQM7IriUAikAgkAolAIpAIJAKJQCKQCCQCiUAikAgkAonAphHIBOCm Ec36EoFEIBFIBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKBPYTAuXeqL1/5yle6z3/+892Xv/zl+vnS l77Unfvc5+7Oda5zdec973nrJ/ryxS9+sfv0pz/dXeACF+jOd77zxemzxRFOPpPJpB59h9N5znOe wfFH+bjHfcr7rErqwCs88j14pg/nPOc5j+FXtINnyl74wheOU3lMBBKBRCARSAQSgUQgEUgEEoFE IBFIBBKBRCAR2GUEVs8SLdHxj370o92b3vSm7vWvf333/ve/f5oAlFCS4LvSla7UXf3qV+8ue9nL 1kTXi170ou5Vr3pVd8Mb3rC7yU1uskRL+7eohNvb3va2Dlaf+tSnagL0M5/5TP1+1atetbv2ta9d k6Uxwo985CPdWWed1X3iE5+oZT/5yU92ykueXvnKV+6uc53rRNGFj1/4whe6D3/4w9273/3u7o1v fGP33ve+t3NOIlBiL/h1hStcobvmNa/ZXepSl6pJWg285z3v6Z71rGfV/j7wgQ9cKwG5cIezYCKQ CCQCiUAikAgkAolAIpAIJAKJQCKQCCQCicBcBLaeAJT4k9B7xSte0b35zW+uiaSLXvSiNUEkufSx j32su8QlLtFd5SpX6Y4//vjuYhe7WHf66ad3r3nNa2ri6eySAJR4O/XUUyseEnk+n/vc5+rxNre5 TXeNa1zjqATgK1/5yu6Zz3xmTf7ZeRflJeqOO+64pROAb3/722uS9mUve1n3rne9q3vLW95Sk7UX vOAFu4tc5CK17c9+9rO1vUte8pLd1a52te4GN7hB/Vz84hfvnvzkJ3ePe9zjKn9POumkTADOVb0s kAgkAolAIpAIJAKJQCKQCCQCiUAikAgkAonAziCw1QTgmWee2T3mMY/pXv3qV9fE0LWuda2jdvpJ KEk8+djx9453vKM+PmqnIHL97EIetbXTzuPQH/jAB7q3vvWt9RFg47fLzyO+LcX/HqFW3m495LHp D33oQ23Rmd/tOJRMfMELXlCTfnb+2ekn4Xjd6163u8xlLtNd+tKXrv1S1k4/uzhf/vKX112Cb3jD Gzo7Ap/+9KfX5OWFLnShyuuZjebFRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgR1DYGsJQI+z 2sn30pe+tCalTjzxxO7Wt751fczXO+LOcY5z1ITXxz/+8e6DH/xg95KXvKR77GMf2732ta+dDl6Z swvZRXfyySfXd+9JiN7pTneqj9Mav/fu9cnuu8tf/vJ1l+Dznve8ip0y5z//+eunX37of4m8pz3t ad1zn/vcujtTElLC72Y3u1l99Fr9eCWpJ9FoR6LHk+3alDB84QtfWO+3o/N973vfUBN5LhFIBBKB RCARSAQSgUQgEUgEEoFEIBFIBBKBRGCXEdhKAlAiyfvgjhw5Uod3xStesbvz/2vvTGOkKtoGej8/ f2iCUYIJUQyIAdyJyCYiKqLIImoQUUEFAaNREFxwAY0KrigggqyCoijGDSMuGMUFFBcUxRUQQRR+ EJdEE6MxMe/LqbzVuXOnZ6YHppl2+lTS0z3ddetWnbq/Tp6nnpEjk1atWlVYLoUq9t9///Aiyozz 6+67775wDl6FjmXwD2chtmvXLqyUdOixY8fmBGC+5Tdp0iThRUPkIU9psOdVUyNqcPbs2eEVIwbZ pyuuuCKkEJOKjfRLt3322SfhdeCBB4aoQM4anDBhQgVpm+7vZwlIQAISkIAEJCABCUhAAhKQgAQk IIH6J1A5tKwO5kSEGGf+UdiC1rZt20ryL3sbosyGDh2adO7cOW/EW7Z/Q/6fKL6sfKtuvXvvvXd1 P1f67a+//gopu3PmzMmlCyNgx40blwwfPjycyVjT/dmv3r17JzfccEPSokWLSvfwCwlIQAISkIAE JCABCUhAAhKQgAQkIIHSIFAUAbh27dpk27ZtuRUS3VZIoxjIiBEjEgpP2AonUEjEX3o0irLMmjUr pF7zPbLvsssuS84999yC04e5jtTkPn36JMOGDbPoB0BsEpCABCQgAQlIQAISkIAEJCABCUigBAkU RQAi/6hMG9t3330XClnE/6t779WrV3LAAQdU18XfdoEAZ/VNmzYtVzSEoUj9ReJRgKS2jWjFQYMG hbMDa3ut/SUgAQlIQAISkIAEJCABCUhAAhKQgASKT6AoZwByRhzVaEkFpn322WcJhSoGDBgQikrk K2oRl8p1nIH3/fffJ9nUViLdOCcwVsDlGj6TakzUYBRY/E9F3b///jtEqfE9UW7x93gv3unzzz// hDEYn2jF2LfQIiRcxz2pWoxgo1gGZ+VRHINUWe5b3ZrT8yn256VLlyYff/xxhdtccMEFIe23wpe1 +If0Yc4D3LRpU7VXRU6wghOSmH3bb7/9wiuyr26QfM9A/A7GjRo1CvvJc8K+sr+cNUllY/aV90Ja eq4//fRTOJeS54GzESnYwpiIbu5BsZRCn5VC7m0fCUhAAhKQgAQkIAEJSEACEpCABCRQlwSKIgDj mX8xDRiB8sADDyREAp588snJYYcdFuQe0WMIIGRKul1yySWhwAWVbtONYhdUrKUSLYIP+YIA5Ey7 yy+/PDnooIOSdevWJcuXL09+/vnnIOWQQoglfjvxxBOTww8/PEggJNTXX3+dvL2jUAkFMRBFjMWc kDxdu3YNZxfWlI5MFWNSnt98882Ez8yR+SAyKdJBWnMci4In9dmQYi+//HKYX5wHQuykk07aJYEF X/acysC0fLLz999/T7788stwNiScoiiFNwIQqcb5jxRCadasWZxepffffvstFJhBLsdnAFnH506d OiXHHXdcsmbNmvBCyLLPPF/IZETlCSecEM4sRBRW1bgH0vqdd94JEpt78cxxH+aK4Ga+9KHNnDmz VqnTVd3X7yUgAQlIQAISkIAEJCABCUhAAhKQQDEIVDRvdXQHRBfRfogxZA/iBNm2efPmZMWKFcmh hx4ahMwhhxwSZCByDtGGWOEd8Xf00UcnjRs3rjCjLVu2JPfff3+QMggfhB1j80IeIWyIcEM0IeCI +ELGEZmGsEHSccYgIvCVV15JnnjiieSrr74KQhARhlBEUnItMokz8QYPHlyl3EFiLVy4MEgt1ofw Y87Ipq1bt4axmGfHjh2DeOLeFMyor2gx1vbtt99WYNq0adMgPCt8uRP/dO/ePVm5cmVYezbSkirD ixYtSl577bUg5ng+iI6EM5x4Lv74448Q+dmlS5eQjnzkkUeG/ctO5ddff00mT56cIJXTApC97tu3 b/L666+HeyCfkXzsK2PzP6nlCEL2n74tW7bMDh+iOOfNmxeeD54NBC7PJ/vK87Fhw4YgmBGLSGbW OmXKlCqfkUo38AsJSEACEpCABCQgAQlIQAISkIAEJLCbCRRFALIG5Bnibe7cuUHA8B2pse+//354 8T/Cr3nz5kGyIIMQZZxH161bt7xRYEgjxA3jIN+I3kMC0hYvXpx888034bqLLrooOeqoo0LkFwLw scceC/JpyZIlofAF/RBSyKGBAweG6DVEDoLn0UcfDRIJWfXDDz+E35hXtnHf2bNnh/Vt3749adOm TTJy5MikdevWQQoRNbZq1aqESruISWQo31177bUJ4rM+2ueffx7EWfreBx98cBBl6e925nOHDh2S W265JTBNC0DkLEKNoiNIOIQjUhXBiihFEJOSzO8fffRRkLdwGjVqVHLsscdWiiZEEJ9xxhnhTMlf fvklSF1kHFKV65FyPXr0SPr16xcqT7PHjIcYfOutt5JnnnkmWb16dQILKh4jjmMjQpJ9R+gxNoVR iFhFApLKzfOBzET2In7Zd9YXn8E4ju8SkIAEJCABCUhAAhKQgAQkIAEJSKCUCBRNACJ6Ro8eHda6 bNmyIOeyC0fi8YoNQYOQQuCdf/75lSIAidgaP358OAdw48aNIZowyhfuwTl0SCjeicaLjRRQov8Q PEg5xCSpp6QlH3/88RUi4LgOIYXoQRQS1YaIIsIs3RBECxYsyFXSRTQScUYkXEyBJdqMlGAEJKLr qaeeCvIPLtm05/TYxfqMgCOVNd2IioPFrjbEHLIs25Bv8+fPz1WFJl0YYXfKKafkGLAHpGEjCknb 5TmgH/uDGE43ogdvvPHGMAZsP/zww/AZOUdUYP/+/ZOrr746CNkYQcq+cw+iQB9++OHk+x3nSyLw mNvEiRNDFCr34ExChDXjci1p5QjpbCONmEakKQLQJgEJSEACEpCABCQgAQlIQAISkIAESpnAHsWc HOmu1113XTJu3LhQKZbU33333Tek+RKZlW2IFyIE77nnniDXOIst3YgsY8xWrVol7du3r5RKO2bM mCDg0vKP64nOS4skRA+SsU+fPhXkH305ry+KI/4nbRZhlW2caZeWaQioTz/9tIIQQjhxnmFM+UVW ck4e5w3WR0OERWEa74/YjPOL39XlO5zS+0hxFKQd6buxsV8XX3xxbh7MkYg9JGu2MV9Scim8wXmB MdoQ6Yqsu+aaa0JUX3oPedaICCWqMAo99gBpTBo4XGg8F/FcP74j3Zf5Z/eLyEVELxGp6XVk5+r/ EpCABCQgAQlIQAISkIAEJCABCUigFAgULQIwLo40X6L5SLUkso60SV5E8HEeHYIF8ULqZoymIvWW 6C8EGumiMaIujpnvHSnYs2fPnERK90EAIW2iiCI6EeGUT0ISeZaOziNKDAGYFoiMTSQaZxUis5B/ rJM1xrkSEYhE4l58Rx/G4Vy5+pJGFDeBQ1pcwiQKsDSzuvqM3EO0kgbNuhGAFB2JjGGCYGOviUQk ApA5kXLLeX8U7qiqpWUmEpNzA3kOqmoUnyE1eP369SGNnOeOtPAhQ4aE65CJMCIakXMDJ02aFPaX wjGcSUkBEPoQ6UmkKmcJcn4hz4xNAhKQgAQkIAEJSEACEpCABCQgAQmUKoGiC0AWjuzhbDxeNMQO ko9UTGTPjz/+mLy94zy/Dz74IHdeIMUhHnnkkaRXr16VovQYI8pCPtM4U66qyq7IoSjm6EsUYqHn 8CGn8gk7xrj++utDxFgUVkSlcbYcYok1ITWJaowNKYgITIur+NvueIc/kXFpAQhnpFtdNCows0ZS sGNUIcKPcw9JD2bfka6kVCNCuS/3hxPSLXKBH0IwG3lX0xyJDsw+F9lreJ4e3XHOI/tDQ0KTyos4 ZE8pXoMg5N5EoyKt2VeiVxGAiGAiSolARRzSkKo2CUhAAhKQgAQkIAEJSEACEpCABCRQqgSKIgA5 a46z9hAmRMlFGRQhkDrJ65hjjglfIYaIpuKMvCeffDIXqUdKLQUXiBirqZEWGqPKaupLFFdaCFbX P0qpfH2I+EMccWYdMnP69Olh7ggszqMjMoy1xzGQU/GVb7xif0f6KxF1yNfY+JwWgvH72r4j8aZN mxaEJ4U20tGV7DPnN3IOIxFzjz/+eEjvRQBy1iLijr1Li9Y0t9rOpbr+RAkSvRkFIPdk7xCzRCAO GjQopH1TJZo1ER2J2ORFY55Ee7LvSE0iCgt9lqqbl79JQAISkIAEJCABCUhAAhKQgAQkIIFiESiK AFyzZk0orkD1VARgTQ0ZiACkIjAyhg6UcnIAAA6eSURBVEqsSDMKZ3AGXyECEKmXFY1V3bfQflxf lbDje9bJmX6cV7dly5YgtZBDVA0mbbRZs2YhOoxz5fKdI1jV/Ir1feRMtdyY9ksKNpIVMVYbLtk5 EvlIOi0yETbpFn974403ggBkXykaQpEUinNQiISUX6IC60JGpu+d/UxEIs9KuiEiEYCISCJDObOS dGGi/4gOpFANkY2si35IU14IagrF3HXXXSElOD2mnyUgAQlIQAISkIAEJCABCUhAAhKQQKkQKIoA RJiQRkn6K6mUhZ6RxrlqnBfIeXExLZWz2AppWelUyDW70geph/hBaiHRSAPt27dvOO8OqYX8RDSR HnzzzTdXEIAxug3ZhXRChu2KfKvNOs4777xk8eLFQbRyHdz4n7kzj51tyDLWSqpsOiLuiy++CEVd iKiLnODDuYCIXSISibxDsMEzKwCZH88A4g15lx57Z+bKHNMyFtHM/dkH5vD888+HCtJUACZKcO3a tSFNGWlJtCLPNWnDnA3J64UXXgjRgLfffvtu28OdWbfXSEACEpCABCQgAQlIQAISkIAEJFC+BIoi AMFJqiTyjwipmOpbCOYOHTrkikHQvxTPV0NkPfjgg8nSpUtDJB3yjrPlxo8fH9aKTIrtzz//DPIq /s87v3Pm3dy5c8P5hkOHDt0l+ZYeu6bPbdu2DZWJ77zzztwZe6Tmvr3jDEYk4M40ZO17770XBNqZ Z54Z1sc4yLwZM2Ykzz33XODEM0HU39ixY4P8S4thRFw6BZjr4UQlYFKGEXdXXXVVSB3nt2wrVAAT ZZiuLoykRUJyLwTf3XffHVKEOScQVlQPZm6skZRg5B8Rk6Q5UwCG/eU5YE0ISpsEJCABCUhAAhKQ gAQkIAEJSEACEig1AnsUa0JIMSKqFi5cGORNofchBTimp1KUoUWLFoVeutv6Ee1GRBvzRBxRsGLY sGGhMAT/pxuyKVvMAhHGOqdOnZosWLAgV/gkfV2xPrMvI0aMSM4666zcmYkIzSlTpiSkBte2wYAI Qq4lbfacc87JRcIR/Qcn1s+ZgAgyfu/evXulqFDOTMxGe8KSVNvJkycHVpwVWVVDACIQq4ukZB4v vvhiOJ8xjsNZfhQtoREZSMo5xT8oSIP4I+KQ/SJFmfTg008/PRk5cmQyZsyYnIxk3tm5x/F9l4AE JCABCUhAAhKQgAQkIAEJSEAC9U2gaAKQhSFcnn322fBKp11WtWhEFNFiUaZwjh5n0+Vr+URPvu/y XVub7/KNSRoohT5oSCrO+qNSbL5GgZBsZBtSiYg21ksEGaKpupZvDun+6eg3UmVrapxTeNNNNwWZ FccmApAU3BUrVtR0ee537sUZiJMmTQoy9NJLLw1nH8YOSM7ICQGIRCNFOF0gJPblvrBIN9iSZktR GVhlOab7wmDjxo0hSi/9ffoz+4YAREzTKFJDSjQFSmJjb3hWKUbDvfM15k8kI2cq0hCEVAe2SUAC EpCABCQgAQlIQAISkIAEJCCBUiRQVAHIgpE3RJfNmTMnCBrkS1ZS8T9CbNGiRbkCIE2bNg3nAfIe G/1IxeRFpFZanHFeG+e08RsCh98QSjF1M4ooxuL72Jf5pPvGgg/xnkSmEcXHOPRFNCGMYronUoo+ yKcYuUgf5kBaLBGQ6Raj2igaQuOsQIRSeg6sJY5FH9KF0/PlO+4b10fqamzcF5ZIVOacjT6M/UjL JmW5d+/eYS3cn2i9CRMmhH2AA2Pl2yu+J5V21qxZCanE9L3wwgvDfqULbFCZOXJiPaQEk0LL3GAU OZFKm+WEiIMDEpGGbMsnDsOP//tDwY6HHnooFGRh3YzPuvhMwRaeQ54bGjJy4MCBoepvvnGXL18e UrTZ+7R4ZDyeAwqAkBKM/OvSpUtunf+bim8SkIAEJCABCUhAAhKQgAQkIAEJSKBkCPz/bTtaXc/m k08+CSIP6YNoQRitWrUqpHPGAgrIK14UCiGlljPV5s2bF/ogxUip5cX1sW3atClIHIqEcO4a5wvG hvRirHfffTfZvn17KOQwc+bMUKGXQh0Im9gQOqST0nfdunVJ69atw7hIHyoQk87KnGnIKkQPc6Sa LWfCUbUW6YXE43fkIn2QZYy9efPmEMk4f/78UESC1Ngo7Ii4I7KMezPfwYMHJz169AiCj1RX5vDq q68mq1evzsk37oEEJDUV0di5c+dk5cqVgRcsmHMUZcwBrkhJfmOd+Sr8Mg8EXZs2bcL5g4yPMGR8 1knqLZ9j5B1rZF0x/ZkIOc7mY48HDRoU0mKz6drsHfPgOsZBnMEpyjkEH0U04MTzEasmcy/mxz5y P9ZG0RCi9dJnQjLO9OnTA3+EIfKRoh0IUdbN/Xhmli1bFlKtiVakH1I5zpmIxNjYFwQie0U/ODBf ni2eB+bDd4yDrGbsTp06BZEKS5sEJCABCUhAAhKQgAQkIAEJSEACEihFAv+3I0rqP3U9MYpbjBo1 KgzLeXOcnfb000+HaEDkDumyCBNSMJFViDQiyigKQUEGIrOIKGvevHmFqSG9EDc0IumQRIiaGOnF OwKsZ8+eyZVXXpkMHz48RO/RJ76yfRFgiEeKVyB6GJe+jE2L/RkXwYWoJIWWaDPSlV966aUgnIgU Q1wilBBTiE6iw6h4279//1AwgmujKOR8Q0TerbfeGopNEJlGEQ74xDnEtaXnQOQe8hPGRN/xW1xb 7E+UGt8z5379+gVJxlyqakg6JBnpyohHRBfzJOoOOcq62RsEGeITOUjKK7+dffbZgR37lq9t2LAh CDNEH8KTcVk7UpI58jvzRawOGDAgjI1cZE7IRSoT8xzccccdQZTCJjYiCtk/5CXr69ixY5gX8+N/ njHGQEDCleeN+5522mmBS1ZYch182XukLNGrPJtwYA6Mybz4nnm0b98+GbqjgAvnAqbnFefnuwQk IAEJSEACEpCABCQgAQlIQAISKAUCRRGARJ7de++9QZyQUkrEHHIJyUUkHtFgRJsh/2hEdSF6jjji iKRdu3ZJt27dQgRfFtDWrVuTJUuWBEGDjImiLAoyIrcQPghG5AwprdyHvrwQZDTEGH15R+4g3pB5 sS/jRqGT7ou4QnjFqESkH8UimBciCzlEf+5DNBtnGDIP5BbSiEhEIg65N3Kqa9euYb3cixRfBCFR a6SkMkZ2DlxH9BqCFGHKuXnIs6pYMBdYUKE4rj3LNP0/c2Nc1sJnIg+ZD/sE47322ivsFSKNyDf2 C+nG99U15BsRfjCggi4ReqyFOVFABYlHIQ7O1UM+UpU43p/1ch+EXPY+WQGIHB4yZEiQlDxn7Ad8 eLbYD4QfgpZnLF2BOM4dATxx4sSQzosQRlYyX5jAAjHI3sQzHxmHeUdZHMfxXQISkIAEJCABCUhA AhKQgAQkIAEJlBKBoghAxAzSBFGGvIkNkUS0FjIlvpAnRJM1atQoRNA1adIkdq/0jswhuo7GdbyQ SMip+KIP35EOGtN4C+nLuPHa2J93vouCkf8RR7ynG9ciA1kfYgtxx9pZS1q8MU46AjCdzspvyMso ELlHvDY7hyjCkHM0+sb+kUOcM2Pkk13p+Wc/I8JYD3sEQ95pzJcX5/ohwfKdnZcdK/0/a2P9iFY4 MWf2HQmbPjuQa7h/jACM5wimx+JzWgDCHAE4Y8aMwD4+Z3Bg/dwHgRuZZsfifzhzHXyZE409RSTC mvkyT8Zq3LhxtWOFi/0jAQlIQAISkIAEJCABCUhAAhKQgARKgEBRBGCh60LO0BArttIlUKr7RGQh achIuygAp06dmjd6tHTpOjMJSEACEpCABCQgAQlIQAISkIAEJFBcAlUfDFfc+4bRFX+7AXId3KJU 94kowigneSfCMBtJWAfLdwgJSEACEpCABCQgAQlIQAISkIAEJPCvJlCvAvBfTc7J1wsBUpLXr18f ZB9FO2KaN+m7VBXm7D9SdDn3r2XLlgrBetklbyoBCUhAAhKQgAQkIAEJSEACEpBAKRGo1xTgUgLh XP4dBCi4Mnr06HCGIGfzUbWYSEAa5/Z16NAhnOFHpebbbrstFE35d6zMWUpAAhKQgAQkIAEJSEAC EpCABCQggeIQMAKwOFwdtUgEiPSjSAnSjyi/U089NVctmaIhfE9FZaIA+d8mAQlIQAISkIAEJCAB CUhAAhKQgATKnYARgOX+BPzL1o/g27ZtW65i85577pkrIsMZgAhC+lDJt2nTpgm/2yQgAQlIQAIS kIAEJCABCUhAAhKQQDkTUACW8+67dglIQAISkIAEJCABCUhAAhKQgAQkIIEGT2CPBr9CFygBCUhA AhKQgAQkIAEJSEACEpCABCQggTImoAAs48136RKQgAQkIAEJSEACEpCABCQgAQlIQAINn4ACsOHv sSuUgAQkIAEJSEACEpCABCQgAQlIQAISKGMCCsAy3nyXLgEJSEACEpCABCQgAQlIQAISkIAEJNDw CSgAG/4eu0IJSEACEpCABCQgAQlIQAISkIAEJCCBMiagACzjzXfpEpCABCQgAQlIQAISkIAEJCAB CUhAAg2fgAKw4e+xK5SABCQgAQlIQAISkIAEJCABCUhAAhIoYwIKwDLefJcuAQlIQAISkIAEJCAB CUhAAhKQgAQk0PAJKAAb/h67QglIQAISkIAEJCABCUhAAhKQgAQkIIEyJqAALOPNd+kSkIAEJCAB CUhAAhKQgAQkIAEJSEACDZ+AArDh77ErlIAEJCABCUhAAhKQgAQkIAEJSEACEihjAgrAMt58ly4B CUhAAhKQgAQkIAEJSEACEpCABCTQ8AkoABv+HrtCCUhAAhKQgAQkIAEJSEACEpCABCQggTImoAAs 48136RKQgAQkIAEJSEACEpCABCQgAQlIQAINn4ACsOHvsSuUgAQkIAEJSEACEpCABCQgAQlIQAIS KGMCCsAy3nyXLgEJSEACEpCABCQgAQlIQAISkIAEJNDwCSgAG/4eu0IJSEACEpCABCQgAQlIQAIS kIAEJCCBMibwX+YZnzyttEyPAAAAAElFTkSuQmCC --Apple-Mail=_ED16759E-462C-47B1-878C-25E216603B07-- --Apple-Mail=_5E848A11-D005-4EAA-8D51-5C2699814BFF-- --===============6349917324154881849== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: inline X19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19f X19fX19fX19fX19fX19fX19fX19fX19fX18KSWYgeW91ciBxdWVzdGlvbiBpcyBvZiBpbnRlcmVz dCB0byBvdGhlcnMgYXMgd2VsbCwgcGxlYXNlIGFkZCBhbiBlbnRyeSB0byB0aGUgV2lraSEKCm1h aWxsaXN0IDogbnRnLWNvbnRleHRAbnRnLm5sIC8gaHR0cHM6Ly93d3cubnRnLm5sL21haWxtYW4v bGlzdGluZm8vbnRnLWNvbnRleHQKd2VicGFnZSAgOiBodHRwczovL3d3dy5wcmFnbWEtYWRlLm5s IC8gaHR0cDovL2NvbnRleHQuYWFuaGV0Lm5ldAphcmNoaXZlICA6IGh0dHBzOi8vYml0YnVja2V0 Lm9yZy9waGcvY29udGV4dC1taXJyb3IvY29tbWl0cy8Kd2lraSAgICAgOiBodHRwczovL2NvbnRl eHRnYXJkZW4ubmV0Cl9fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19f X19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fCg== --===============6349917324154881849==--