From mboxrd@z Thu Jan 1 00:00:00 1970 X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on inbox.vuxu.org X-Spam-Level: X-Spam-Status: No, score=-0.7 required=5.0 tests=DKIM_ADSP_CUSTOM_MED, DKIM_INVALID,DKIM_SIGNED,FREEMAIL_FROM,MAILING_LIST_MULTI, T_SCC_BODY_TEXT_LINE,URIBL_SBL_A autolearn=ham autolearn_force=no version=3.4.4 Received: (qmail 22877 invoked from network); 28 Jul 2023 15:09:01 -0000 Received: from cgl.ntg.nl (5.39.185.202) by inbox.vuxu.org with ESMTPUTF8; 28 Jul 2023 15:09:01 -0000 Received: from localhost (localhost [127.0.0.1]) by cgl.ntg.nl (Postfix) with ESMTP id 25573482BB1 for ; Fri, 28 Jul 2023 17:06:25 +0200 (CEST) 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 kao0YJktXH8V for ; Fri, 28 Jul 2023 17:06:24 +0200 (CEST) Received: from cgl.ntg.nl (localhost [127.0.0.1]) by cgl.ntg.nl (Postfix) with ESMTP id 680CF482BDC for ; Fri, 28 Jul 2023 17:05:29 +0200 (CEST) Received: from localhost (localhost [127.0.0.1]) by cgl.ntg.nl (Postfix) with ESMTP id AFBB7482A86 for ; Fri, 28 Jul 2023 17:04:57 +0200 (CEST) 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 opJtIouonYaM for ; Fri, 28 Jul 2023 17:04:54 +0200 (CEST) Received: from mail-wm1-f49.google.com (mail-wm1-f49.google.com [209.85.128.49]) (using TLSv1.3 with cipher TLS_AES_128_GCM_SHA256 (128/128 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 6EF62482A85 for ; Fri, 28 Jul 2023 17:04:54 +0200 (CEST) Received: by mail-wm1-f49.google.com with SMTP id 5b1f17b1804b1-3fe12820bffso3088315e9.3 for ; Fri, 28 Jul 2023 08:04:54 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20221208; t=1690556693; x=1691161493; h=in-reply-to:content-language:references:to:from:subject:user-agent :mime-version:date:message-id:from:to:cc:subject:date:message-id :reply-to; bh=ei19UzZs/eUGzeufkdKNCr+v07+3XrHjUAIA9Wo7ezI=; b=YwpfDCjV6fkPuHmWU+d8iWA9CUlbIQer9aKrO2DqDd6vpQIUXP9lMvwHjLYK1jTZ6G h3O7RU+GDRuWOIHsJ/a/3Ll13tAaAJ88GehF8liUdLRLe41xPik/FYLIPNzTHK7SsQvz 2zXxpaTTj6H67aAQN8KZMgGR7Z/OexxeUuyEoY1mvrkwSK1sEqcG+or33vj0AB46Uoy0 /3nVlp4u4KqAPBcCmJ8OHs6AWVcFi+FCx8sDm0hKZgoXthDrHX35ppDyxpfjPJ3MIb0E QTCydT4+47iFSSY+iplktpOF7pgCeU2dHGHW070ieQ7RUh/IYI7i8YUgmaYFSYsX1NSR g2nQ== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20221208; t=1690556693; x=1691161493; h=in-reply-to:content-language:references:to:from:subject:user-agent :mime-version:date:message-id:x-gm-message-state:from:to:cc:subject :date:message-id:reply-to; bh=ei19UzZs/eUGzeufkdKNCr+v07+3XrHjUAIA9Wo7ezI=; b=idmJze3z/MTOwn9evv0RGxNqmHo0vZEwu/nasCHbKlBAsn3fWYsWx1HlFkbUn4rLFx 5RXIP8CEwuAOV09vzFl5ICwq/auUP88NHo+RoIYXxw6BwmKMYOj5kZPFixbZ9lbimtpY /A+DrzuOFKvetcp2d2h7HFI8wr3gPp6t/kJSzZVNS+8Q77WVtWb5sABhEFpxy2bnzeYb CzLJodiMyXvBagaG8BCeLOl6qvp/T0MN+kEqZVxV48tRSMJ6+HqDpsrurWgZLlAZC0iS jWRW2d7vDKVf8VlanFssnnD+oEGgLGiev1ELDnv7dyuo01XOEPogtG1RL92HZKVSzj0N kczg== X-Gm-Message-State: ABy/qLbwnM6TwSkZOT2cGlDIBwhJ2RrFFZSal3LeX7/va3pKyCLPddRh ryyspK72+WcEYFUdOfQiMFh6CYEqI4Q= X-Google-Smtp-Source: APBJJlFh7rJKGo5RzkzD4oVMbtoTcsZ65LCcp8Nl50FrHSvdszb7hUPle1YjEg4CzjLvPu3yS4nQBQ== X-Received: by 2002:a05:600c:b46:b0:3f4:a09f:1877 with SMTP id k6-20020a05600c0b4600b003f4a09f1877mr1968848wmr.23.1690556691700; Fri, 28 Jul 2023 08:04:51 -0700 (PDT) Received: from [192.168.0.33] (uddi-29-b2-v4wan-167779-cust774.vm12.cable.virginm.net. [82.41.179.7]) by smtp.gmail.com with ESMTPSA id f6-20020a1c6a06000000b003fbc89af035sm4385402wmc.17.2023.07.28.08.04.50 for (version=TLS1_3 cipher=TLS_AES_128_GCM_SHA256 bits=128/128); Fri, 28 Jul 2023 08:04:50 -0700 (PDT) Content-Type: multipart/mixed; boundary="------------5W6TKVBtXqqZmdRr4WzUqmwW" Message-ID: Date: Fri, 28 Jul 2023 16:04:49 +0100 MIME-Version: 1.0 User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:102.0) Gecko/20100101 Thunderbird/102.13.0 From: Keith McKay To: ntg-context@ntg.nl References: <71307b8a-b5cc-dd88-a145-8df34c5af67e@gmail.com> <2aafd425-cae1-1049-2759-d65cd79ebf81@freedom.nl> Content-Language: en-GB In-Reply-To: Message-ID-Hash: OSUJYUGGP2UOCVPMD2TIRWMYMGSENKMD X-Message-ID-Hash: OSUJYUGGP2UOCVPMD2TIRWMYMGSENKMD X-MailFrom: mckaymeister@gmail.com 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] Re: Par Builder Tests List-Id: mailing list for ConTeXt users Archived-At: List-Archive: List-Help: List-Owner: List-Post: List-Subscribe: List-Unsubscribe: This is a multi-part message in MIME format. --------------5W6TKVBtXqqZmdRr4WzUqmwW Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 8bit Hi all! Using the example below I have completed a test using a larger book. This time I downloaded War and Peace from the Gutenberg Project and extracted the individual xhtml files for Context. I played around with the setups for the align:pass:test4 code below, as Hans suggested, and it was changing the \tolerance value which made the difference. Increasing the \tolerance value to 1000 eliminated all overfull hboxes but still left 79 underfull hboxes. I continued to increase the \tolerance value up to 6600 and was left with two overfull hboxes. One with a badness of 6641 (warAndPeace1.png) and one with a badness of 1097 (warAndPeace2.png). Above the \tolerance of 6600 only warAndPeace2.png was left with a badness of 1097. Both of these underfull hboxes were at the beginning of a paragraph - "To his Honor" in the first png and "Well, you see," in the second png. I not sure a reader would spot the second png badness but the first is noticeable to my eyes. I'm very pleased how the book has turned out, all 1668 pages of it as an approximately 13cm by 20cm book. The pdf is 4MB and each run in ConTeXt takes about 10 seconds on my M1 mac mini. I'm interested in seeing how \setupalignpass develops and learning more of how to use it. Best Wishes Keith McKay On 21/07/2023 17:33, Keith McKay wrote: > Thanks Hans! > > I'll have a play and keep an eye on updates > > Best Wishes > > Keith > > On 21/07/2023 17:10, Hans Hagen via ntg-context wrote: >> Hi Keith, >> >> Here an example that Mikael made for such a book: >> >> \showframe >> >> % let's very strict >> >> \startsetups [*default] >> >>     \directsetup{*reset} >> >>     \frozen\widowpenalty        10000 >>     \frozen\clubpenalty         10000 >>     \frozen\displaywidowpenalty 10000 >>     \frozen\brokenpenalty       0 % \defaultbrokenpenalty >> >> \stopsetups >> >> % we enable the use of expansion (this feature might become preset >> % because we now delay setting the vectors anyway so less overhead) >> >> \definefontfeature >>   [default] >>   [default] >>   [expansion=quality, >>    protrusion=quality, >>    itlc=yes] >> >> % vertical expansion >> >> \setuplayout >>   [vz=2] >> >> % for which we need: >> >> % \setupalign[hanging,depth,stretch,granular] >> >> \setupalign[depth,stretch,granular] >> >> % here are the passes: >> >> \startsetups align:pass:test4 >>     \pretolerance 100 >>     \tolerance    200 >>     \parpasses    4 >>         classes              \indecentparpassclasses >>         threshold            0.025pt >>         adjustspacing          3 >>         adjustspacingstep      1 >>         adjustspacingshrink    5 >>         adjustspacingstretch  10 >>     next >>         classes              \indecentparpassclasses >>         threshold            0.025pt >>         adjustspacing          3 >>         adjustspacingstep      1 >>         adjustspacingshrink   10 >>         adjustspacingstretch  20 >>     next >>         classes              \indecentparpassclasses >>         threshold            0.025pt >>         adjustspacing          3 >>         adjustspacingstep      1 >>         adjustspacingshrink   25 >>         adjustspacingstretch  50 >>     next >>         classes              \indecentparpassclasses >>         threshold            0.025pt >>         adjustspacing          3 >>         adjustspacingstep      1 >>         adjustspacingshrink   50 >>         adjustspacingstretch 100 >>     \relax >> \stopsetups >> >> \setupalignpass[test4] >> >> \starttext >>     ... >> \stoptext >> >> (work in progress so keep an eye on updates) >> >> Hans >> >> ----------------------------------------------------------------- >>                                           Hans Hagen | PRAGMA ADE >>               Ridderstraat 27 | 8061 GH Hasselt | The Netherlands >>        tel: 038 477 53 69 | www.pragma-ade.nl | www.pragma-pod.nl >> ----------------------------------------------------------------- >> >> ___________________________________________________________________________________ >> >> If your question is of interest to others as well, please add an >> entry to the Wiki! >> >> maillist : ntg-context@ntg.nl / >> https://www.ntg.nl/mailman/listinfo/ntg-context >> webpage  : https://www.pragma-ade.nl / http://context.aanhet.net >> archive  : https://bitbucket.org/phg/context-mirror/commits/ >> wiki     : https://contextgarden.net >> ___________________________________________________________________________________ >> --------------5W6TKVBtXqqZmdRr4WzUqmwW Content-Type: image/png; name="warAndPeace1.png" Content-Disposition: attachment; filename="warAndPeace1.png" Content-Transfer-Encoding: base64 iVBORw0KGgoAAAANSUhEUgAAAhkAAABwCAYAAACzfmIwAAABWGlDQ1BJQ0MgUHJvZmlsZQAA KJF1kc1Kw0AUhU+0EjEVRAUVuuhOhFpqWx+gdiEFhZAq/uCiaRrTSlqHJCKivoMr94L4AiJx p64EcScoiHsfQOhCreOdVk2rOHA5H4czw+EO0NWrM2aHAFRrnqPNzkSXV1aj8jNkRKBgBGHd cFlGVecogm/tPPV7SELvJsVbhY+jm8rUbqLQv8bHlIvrv/mO01cyXYP0nSZuMMcDpBixuu0x wXvEww6VIj4QbLX4WHCxxefNzIKWJb4lHjDKeon4iThWbPOtNq7aW8ZXB9E+bNYW86SDNBHM I48coqQqkkjT4J98upnPYhMMO3BQgYUyPLqbIYfBhkmcQw0G4ogRJ5GgSYk9/95f4G2MAtOn BK+BZ2qAn6PqZ4E3bgND9H1X+0x39J+tSvWQu55KtljxgZ5Dzl+WAHkCaDxw/uZz3jgBuh+B y/onku9iEySSq28AAABWZVhJZk1NACoAAAAIAAGHaQAEAAAAAQAAABoAAAAAAAOShgAHAAAA EgAAAESgAgAEAAAAAQAAAhmgAwAEAAAAAQAAAHAAAAAAQVNDSUkAAABTY3JlZW5zaG90xG1c 7wAAAdZpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRv YmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDYuMC4wIj4KICAgPHJkZjpSREYgeG1s bnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4K ICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6 ZXhpZj0iaHR0cDovL25zLmFkb2JlLmNvbS9leGlmLzEuMC8iPgogICAgICAgICA8ZXhpZjpQ aXhlbFlEaW1lbnNpb24+MTEyPC9leGlmOlBpeGVsWURpbWVuc2lvbj4KICAgICAgICAgPGV4 aWY6UGl4ZWxYRGltZW5zaW9uPjUzNzwvZXhpZjpQaXhlbFhEaW1lbnNpb24+CiAgICAgICAg IDxleGlmOlVzZXJDb21tZW50PlNjcmVlbnNob3Q8L2V4aWY6VXNlckNvbW1lbnQ+CiAgICAg IDwvcmRmOkRlc2NyaXB0aW9uPgogICA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgqpsfDuAAA6 MklEQVR4Ae2dP5AUR7bum7drwLXAE9dirgfXEp5mLY08WEvyxLPU8oZ1FnniRWzEznponR3W Yq618Cx0nSs8gSMYb7AW1pI2gggNHlgrnsWrXzZfc+aQWVXdXTVd3ZwT0VOVmSfPny9PZWVV 5lSOXg+Ivv/++9cffHD29cmTp15//vmVZBlH0uTb8q+/vj4t/+ijzdfb29vp9+OPP77j0Y0b N16fP3/htfiQeenS5dcHBwdTXmRTTj6yrU7ppVx10GftJJ+6yPbyvTyffvHiRbJd9iFbeqxc 6gkfznMkfmToh3wIHLCRfI6kIcpJox+5sk864Le+wsvPU50cyVQ7ClPkSo9sBz/y6nxtkjeL LV6W7CBmFDs2HpANJou2l8UAPei1PttybPR22vJcfd8+pH1b4gt44ytH5NC2+EYafnhEKicf PtI5srZhN3T37t0jcslHtnjRCQY+XVfXYiI9t27tHdGDreoXwBe/ggKBQKBfBH744YfX/E6g ZhQUCMyAwOPHj0f3798fXbt2bYZawRoILB+Bly9fjk6fPr18Q8KCQGDNEXj48GHy8H+tuZ/h Xg8I7O3tjcbjcQ+SQ2Qg0C8CMcDoF9+QHgh4BOJNhkck0oFAIBAIBAKBQCCwEALxJmMh+KJy IBAIBAKBQCAQCDQhENMlTQhFeSAQCAQCgUAgEAjMhUAMMuaCLSoFAoFAIBAIBAKBQBMCMcho QmjOclaxBwUCXSMQcdU1oscnbyhtNxQ7jg/50LRMBNZqkMG/Vn7zzTcjLqKrV68mXE+d+rfR 5cu/TWnO+V258r9T+sKF/0zpLhvg+vX/M9XRpdw6WfiLT/JPvlOHc+XDswodjLf57Nl/H21u /ma0t/dfdTAMtow4W5T4l2Fw4PfTTz8tKq62PtcRePMbcrxgJzGt65sjv6HFyXG2HbqEiT2C Vdd9E9cpeM8aJ7n+ChnYF7SGCPT7OY7jla6P7OjDRGjnI0MifehIHxfiSF6XhEw+3MQHgErE x4b46FCXJL05f7zfXertS5a1mQ8p8aEmcAW7VSJs78pu4htZfRMf2eKDVhyHijcf9gILfYBL mGDvcWAkfW2PTW2nj5C1lZfjo83w3X8gjb6In/oIzksEfm36Jn1YDTnzxIlsUX+l68S3p7ez C5y8zEj3g4A+xrVWbzK+/fbbNBq+f//BdFT86aefToeGZ86cSef6X3mOXX/vQbKnSjMnjP67 HrVLr3y0apUnHls21HNr88bGxujmzd1kKm28SiR7iclF6cyZ4/mIVNWRV28wXoy+++5/Rltb W4ua3Xl9vcH48MMPRzs7fzwiH3uHaHNT29Ef0C/MS2DCmwV89x/J29nZSWLbXP9t+ybemOgt 1zxxIlt0nXON0558g6eOFsWpTnaU9YPAr/sRuxyp6lwIVi46yHdC3rKmcs/fRfrRo8mX0LqQ NUQZ6nyqp5URnUcXpCmCtvL6sGEePw4OHicMGGwsI9bmsRnshLfqC0/SukGo7LiPuhGNCx+E u337b8diUpeY7O7+5R3MZ3Hixo1vEvt4/MU71WgvDTTeKXQZs/RNXN9dEgMO9dvIFb62H1kU py7tDVktEejnRckwpTJ1UnqVyqtGXvvxKpEj6XkJHcjgFSlHXvXzGhLSXgvkQ7wmhG97e6KX 83kJvXZ6SHJyfvs9KPSKVPZp7wpvPzLhJV826/UsPmqaAz+QAd885G2WvKrDmYqTftlCQZ0N tKl4OZL2dfCfMttmiWmOP9i6vb09bXNsE9W1u9pGPstOZOl1OGVgxNFiIvnzHqUD2dioeJAu 2pd8SHZS51KFWSmGFAeUYy+8i+Cr2JAdTb7KTnQLS/mFHSWbFOeU85M+1fWYMIWAb5InfuwD o1LfQ1zouqGOTbeNR2HSFAu2b1K7qI78wgdRDjv8lD78sn6qXpuj76+QqbgQHmApOy0u6JS9 bdoQO/GLn+zN+dbG7uBph4CmS0bt2NeDSxeG94ZgI6h1sXEkTf48xMVD4EsegW07GM4Jegib xEca3nkJudiNbPvTBSu53l86DXh08SHH2sWFLvvhgZc6kMdKvHQI6oykd5aj2go/wBL9YCOs blUDBHgg8ignD8rZ4H0u2S0MJCMJnPMP9oABWGAfvogsvuThG+TtpL7qcUSOxd7LTUIW/ONl khbWHNGfs9PHEO0GqX3qrolZTMYefm2INsAukewnLb8UU7bNFR/CmjZEjnhVFzmSSR58ELLk P2m1Hec5sropV7ptPKKbXxPBo3ZQuyi+qEu50nXYNfnTZId0Ka7QhW6Ln9K0gfiEi+TDQ5na xZarr0K26FJ1naGDvFJciDeOiyGgQcZarclo+fLmHTZWozPVotfAHEkvskr94sUPp/I2Ns69 o1MZ1cWRVoOji1eFzG8uQrxy3N3dPfLTvKfken/xlVeTWj8A39bWx1P77XwyPPBSB/JYiZdy 1sM8efL3xDfvH3y5d++7au3MF2lTtqqTSKI+++zTkV7tqt0ePz5IZTkbvM8luzUdIxnz2k09 5q3BgR9y7959u56k1O7eTjAEA0taZyS/bVlf50xBQrQn+r2d+OhjiGsAkp1tr4lUqaM/TK1c vHhxKg0/bryZWiCzFOe0lY1z+Wfb0GMCNvBBxI999Z8ya/74eFO6y3iUerWD2kX5/tiEneef J811wFoSpue4ni1+yCNt+xHhYnWV2lB9FX2FiP4Vmcfhm3S+78e1WpMxb2MS4ASqJYLZz0vb 8q7OmT++evV36UJDJhcAeU0dwCL6vb/S1cZf8agOdvSNFbq40dLB03Hzo3NiERidcK7j8fh4 n/u2mxsUOq9fv55MwQfSdHx0mqV2z9npfVlG2mPs7VQ8kN83ac0VunQTRic3KwY/EBizWJhY gYcyCD9evpwsAE8ZhT8asKr9YEMmC2JFFhPam3jkuLFxrhpglhf6sriSAaiIG98slKsvTPBX g59ZZOZ458UuJ6uUp4eiUvki+YpFxaaVdRy+WX3v83kMMqrWpxN68eLox7NI2w6szyDhCYig 56LgRkrH5p9eu9Tv/aVjhNr4Kx7q6OI9Lqx4IqVzphPl2xMcuVmDnW4uJZy8z/D1aTd2fvXV tXRjQhdti820LzcrKNfuOTv9zTRVXvIfb+csMbSo6TyZ0ubcyMfjtwuLNRDFFuICIkaJk3mv p52dnWmc19nN2xEGkIeHPyf+yYAnP+C6du330xhAJnFN3baUq/8Wk8n14WXprZrPr0svil2d 7OMoy/VV6OV6WnXfjgO/rnS8V9MlPP1C6hAF4ng8eRWvfI5clOTPS3bQYs8lT3l0LrpxcvPh 6evgYPKfMeKd5SgfbR2f5/1FPxedbn7UlX3+HB54qQN5rFRPWCamOf7IZsmhYzg4OEg2cs5P Zdy4LeVs8D6X7JYcyVB61qOmE1SPDo+bHe2N7aV293ZSn48qQbJJfuuo/Lb/fpiEzfhHOlTN 29kUQ9SzMuy5ZLY98l8l4KkP79l6fmqQmy+2CSt47YDU2mHPdS0ozqmnduMcsvyTnLd/fZlN b1VvK8FPP64nW56Tbctz9YUJvllfkcWAzA5irKw6XXXYSYbXhbw2pHq6zn2dknzlW36bZ8/V V9n+gfYkbup8s7LjvAMEFlvasTq1tRKZhUIsDtKCKnnAQjYWBbGgiSPpeUh6WFTEAiN+nKOX Ml/OAiQWYmETuvl525rsqC7U6UIx9CBDxDl58hteyPtb3cBTvrfP2w8TvJcuvYuV5cUf0vOQ txlZLO4iX/aTJ0zxhXN46mzwPquNbR389+lZfcBO2lyLBqlPm2IfdtLe6C61u7VTOFqbyIOE gWKNNuG3CEkmtmKzjQfOLVk70ZuLIfLgw2/ZaX3xMq38unPiAPysXnShg3wRfNtVe5DHkR98 1i/sydlE+9k2og7ybF3ZTz62wE+eeDjmZMs+jr68KW3r2nPFGHaoD0GWrh3ZBEa5drHl1Cth By7IoE2JF+myttSdI1dxhgz0WrL+w0casvnU8fb6curgJ3jQ7vqhv+QbdYK6QUALP08groOx SogIBAKBJSMwmUK4/87HmJZsVq/qeTJl2oS1EqdPn0lrq3jSf5+JtxYH1dvQwOR9joLl+/7w 4eR7UDHIWH5bhAWBQCcIsA6g7RqCThSGkEAgEAgECgjEIKMATGQHAoFAIBAIBAKBwGIIaJDx Xi38XAyyqB0IBAKBQCAQCAQCsyAQg4xZ0AreQCAQCAQCgUAgEGiNQAwyWkMVjIFAIBAIBAKB QCAwCwJrOcjQ/2ALCJ9Wfp/HvnX2Lb9PbIYk+7hxPG59Huvj0n9cerx/Q04HJv22TuDbL77z Sh/UIIMg4cNDp079W/pxfvbsv6e8NgHEv7PBz48P5/j0vCDNUo9PC2O/PqA0S119TAkZnOdo Efk5ee9r3nHHxrLbzfrb5lqaNy6W7ee8dvdZz2JPvzQk4sNU9FX86HOGZl8brCy+fcZ2G1uC J4NAN5/d6E4KH0nRh3uQyodfSPNBlTakj7yI16eV7498RKetDl/Xp7GXD7/kiI/D6OMyvhz9 /PSRGV9OWviU5OfqRF4egbaxka/9bi7tSvvmaAjt1rW/OT/Jq4v/Up0u8uuurS7kLyJjXuzr YmpWe7wsfWxMcugD+XDXKtK8+K6ir6tisz7GNbi9S/jELqTPA/NpWD6uw2i1DdlNiyZyJvLq 6vLxGkbA7PbZN/Gkhy+//PKvd1Tt7PwxlV27dq34RCF83qkcGTMj4GNlZgGuAk+CxGpuw6sh tFvX/jr3l56su7aWbdy82NfF1Kw+eVn0Q/bJn9jlg26rSPPiu4q+rprNgxtk5ABkz4e+XuMh l+/9s83wcdwIdnf/UvSF7Yf5mBKvMNlcK2j5CNAJ27jwaWuhtp4nj4ErNz02QQs6HgT8taWd V+s2R9NN1rbx8VjbTouNqXY1ylw5WdUbtmkFHnKExzRzoCdt2rat6V3KaqvzfeIb1JqMEvCM rrkARKQZlRMcHLkptyH4tF5CF5O2ZGbnU2Rp8yTNLW9u/mY6X8m53qgwOGEeUzbk1mCggzrs volu6pJGT27QRGdIZ8ebDAZWdfTTT/9M+iVP/lAHXejAJvlTkiX74dfFhp2sawErcKAMPchD T1O5dMkO6dBTkrCVPrULeiCVS2eTj5RbP6XX+6+4IR/danvZa4/ysbS+Bx12/Q82YwdH2lZH 9Mhv5Ne1m9XPOTZgKz+PTQk76ln/PTa2nDJ0lEgxLv05jLED26yPXp61RzKELzEmGbIHfnRy 3SC7Tcwhj/rwYzeDPHTRxshHBmXwQEqrfb3NpJFBHfmva9bHp+RaLGeJNXRRFz3SRZ6NKdIQ PqGPH9jpvMkmLwvfJp9jf5nwASMbz+iSD2ofdAkDm8c5ZNsUffCDNz6Bt8jGA+WKCekTDtKl ejr6tlU+R8lGrm2PUlvWybJy43wBBIY4v6M1Gaw70Dyh1jGwGQ+b8zCfCDHXTZpNmCDqUF9k 0/CoHuWkqYsMyMtCDnOUKrfzfjafupeqtRQiOydNvupTbmWIf9Yj8sEFufysvlu39pJPkomd 1mflc4RXc7CSQx4kO5VWOXi2KffYYgNYazMlbFabIY80OkWkhanXnZMtu0r+K27kD3rko3T6 oy/3adbOeJtlB0d8sES61G6WT+dqG9JeTwm7Omxk0/fV2hHJ9Damgjd/bIyDn3zL6fBtK95S e1j9WscifBWvvt1VrjYslcsHfJMd5CH3krlOSZf8l2yLFW0nop7FR7ZRPk+s1bW1fAAn9Aov 7LH+1NmEXZRLFmnOyRM1+YAu8AB/2Suc1CaSobTKpTcXO5TBRwyp7dFj+2bZqGPJF+pBsoNz 2WDLfFvKPviDukFAazIG+yaDNRk82d++/be0rTOjYka6jDwZFWsTJJ78OddouDTeYlTLyFhb OMNHHerqVWlO1tbWx9NyO+9XBW4aoSMDu/w8PFsOM5q/du330/rotDJIz0sXL36Y5Mp2yWHK 5eLFi0qmNyI3buTf9LDdsV6hSs7jxwepruwcj79IaZVLcFO5xxacaTfaT+SfVCRT5Rsb59Kp 1+1l06Z6JV7yX3GDzyKvT/k6+nKfJjZ8nuqWjqV2y/ErxohdrgNLJezqsFF92gJqsh3929tX p232FuOj102ubaWr1B5Wv97ayR5do77dVd4Uk9Ltj8irbtDTbC9/WlCdUMZUl8WK69xSqW+Y J9bq2lo69WQuvIgl6w98JZsko+4ofOHJ+UAfBx6L9Bul+Lx792i/rpgifxay7aV6bdpSvHHs HoHBr8nY2NiobiB/Sa9O6bBEtoPg4vCdrvh0JLjpJHidxnQERB0uSkttZMFPp3/16u/Sq0bS BDd5sgtd3FTpGHZ2JuXw9U3oBTO9wsSfly/PZNXSQTEQgt92MFnmGTM9tsKlqZ3aqPGybZ2S /9IrO6jD1MUiBG6LyqjTTzzx6pgOnxsLC5Ot/bm6ddjk+OvyrH74mLLk2vE6ZJMwtjJL7WF5 jvPcvrav0wsf1wbHjY1zaWqhjt+WCQfhQllTnFisS20tuVZXX+fSZX2QrkX6DeT6Phe5erhh 2lrEYJOdZBelRdpyUd1RfzQa/CCDRlLAH1TbF+tJlMDRBcBbAzr8OuIiZoBBx0Hwws+Pupba yBI/Tzp0otjHiJsLRE97XEicM6+MzkePJk+PqtvXEUzopGRHnR4GSfCCDX4wEOuKPLa0F0T+ ouRlI482IL/kP20P2bhJGQv8QSf49UEMThm4Pn36JD2t0jY2vko667Ap1anLPzz8OQ2UGejY a8deN3VtW2qPOp1DKOPtHz7jPz4waN/ba/eNC8V421hr29anT08eFrhWiTvbH3aNWckHYn6R fqMUn7J/Z2dn2q8rb9HjIm25qO6oPxoNbrpEHRavD0Vc7BCdLgMELnq9OoSf8/F48lrfdn7U sWndELhIIepQVzq9LHhsfXuOTdRFJjbdvLmbLnrqQOLdqgYbXJgi5SvNNBCd96zk5SjNIMz6 hNzc4AGb+Ml3/1pS8rxdytexVO6xxSbaDaxEkkEZpLQv92kvm3Ke+KGS/4ob+zbMxliqXPgD Rvzo1CFhBq4a9Kqq98Hyc+7LfVpyFF9gtlXFfSm+PHZ12HhdPi3dOnIzgdBP588Ngp/XUde2 pfZArtevtPDVUfk6UteS8nX0ZZKjfKXrFv6KV8eS7Fz5rLHWtq3Bknjgpkm80xa0iyVrpz0X j82z55TbtHyw/QLtTEws0m/42EEvvqhfUDyTjx71/aQ9Ya/a0toOn0/burkyK8vyxvniCPzq DxUtLqYbCQQMc8BPnz4dvXr1avT8+WF1Ef2pSv+j6tjG6XUtazU++WSreivx59H+/qN0A71y 5fP0GpcA5YmVuvwgm0bG/v5+Ctzz589XwX1ldOIEPO/K4sYP7+HhYbXGYfIvtFZWtfApyaaj evDgfrqxV4ua3sh6W29zc7N6U3Cn4nlQrQY/Wd0sbk7to/O+c+dO5efzypbPW4Fo7QIH6mOD 7MQncKMjYjB17969apX3pWrl+Nkj8sERnCkHK6ZLtNocbKyv2Gn1gkdTuccW2Xt7t0bIhjY3 P0rt8O23/530W6y5edelvWzw5V9+6XTBO+c/esEL2fgMNsSLYgUfPSELPgYmjx7tj/7jP5hW OpPsRgYdJjyQxwd98NBJwnPz5l+nPuXaDdstHR4+z8YX+uuwK2FDh602Iw5PnTqVrq06//GZ OsKKt2MT/ZtHrhvbth6HUjwSeyV7sJUb6nj8ZYpRxbb4sblNTBIHXB+Sp7YjBtBPv8JAM/fv 4qxrUtsz1UFdYhLd+Gvj02JLObbPEmultp70S0f7EuxgCmHShidTyBBrHndvk7cZ39QXgQXX v8VXPkzi9lGKZfgY7CJ73n6jFJ+054UL51O/ha30qbQP/CdPTvy014dtW2t7LrZp31JbotfK wu+gbhB49uxZEnSCdaTdiAwp8yCgDlzrROaREXUCgUCgGQGuNQYV3FggnqB5sPmuWtC4ioQ/ 1X98TB/AVtGHsHl9EXj48GFybnDTJesLed4znpJ5wxIUCAQC/SLAq38NMNDEE/m4ehu1KsS6 EL5lweACYqoWf5ReFT/CzvcLgRhkLLm9eQXNPGtQIBAI9IuAvRkzjcUUldYC9Ku5G+kMKJgu UX+BP/y2tj7uRkFICQR6QCCmS3oANUQGAoHA8BDQAksW+THA4F9yV41YR8SaBdZlnK7+24QB hn07s2r+hL3ri4CmS2KQsb5tHJ4FAoFAIBAIBAJLQUCDjJguWQr8oTQQCAQCgUAgEFh/BFZm kKH/h17HJllF3/q0uU/ZfcfPcdm+qJ5F61scu5Rl5cZ5IBAIrD4Cgx9k8P/f7DbIv5v1Taw2 186B6IX433F086MMnq6I+VW/82FXsvuS02d79Cm7Lzwk97hsXzRmbP1FBwfH5bMwjmMgEAis HgKDH2ToQzkbG+d6R5ev2bHanAVhrNpmoRj/9nb79t/Sj/+xZ6DRhujM7Wr2XB0WbGnRFgvR VoH6bI82stvgugwc29jehV2Lxoytr/9SmNcuLZzc2Dg3r4ioFwgEAmuOwOAHGYt2hLO030G1 YRirtumI+UAPNzT7tEd+28FA28+Fd70x2Sz+zsPbZ3u0kd0W13l8W6ROG9sXkW/rLhozi9a3 tsR5IBAIBAJ1CAxukMHbAzYVWwYxoPDTIby9EPHkxluNNsQW6nrSa8Nf4uEDPNpRtcTj8/Ej 54vn6yPdd/t1hWsfvtfJ7BuXOt3zxFCdvHnKvA2z4rHMmJ7H36gTCAQCEwQGNcjgBs88L0c6 JTvdwP4BrIvY3PxNmrKg0xGxboInXMrZl6BEyBOf1lhIh27k/A+6OsTJ/6O/nKb9+gnJgx+5 /OQDduKLyPJIl8pKRzpi/JFNmk9XffRjE2tW0Kty8tgDRj5q7hyb5sFQ+KJXunM2y3fffrY+ GAnznAzy1NbwYjN+QfhhcS35hXz5busnIe4PGKNH/NgOlWTn4m5eXGhbdFOfo41dxRZ2ybYc bmCrNUvWNrnpY0j5HNUuHiOvW5jYuqVzycRm+eNtaIoTW7cU08iAT9hxHhQIBAIDRIC9S4ZE 29vbr0+ePHXEJNIffbT5unqrkH6k4YNu3dp7/cEHZ6f81cZlr+/evTtN6+THH39MfPCLVJcy yMol7W35/PMrU9ty8qp9BF5///33VD0iCz3YBeEDemSH15GYzB9vEzbId9isTTaNHeAgvcjB Pkg2SA62lDCsNn1LZdTJ1U2Z5o/3x9fHJnQJc1M1nWKn2poMbCZP5PEQP+Xyq66+5Fh+sILA kroiZJcw835JtzCVDB2bcKE+uCA3F1tqI8qsLPhz8S69HD1mqm/9hgeSHZIJD3aRnyMrWzaK z16Llo9y2SDeurqKcWxRTCPb2nTpTWxLXhwDgUBguQj88MMPr/kN6k1G3RiMnT+Z9/Zz3+z9 wY6JIr7nf6PagdQTT1M86dld9jgnj7I2ZOeyc/JYx8G6DU/o4TU/JPsfPz7wbK3S2MCbDZG1 iTylsYNFrE+e/F2s1XqSc+lcNqRE9acOQ55GkaU6rFuZhXx9ZDVhrrZGz8bGuepvPcEPyca2 9eEHH7UZ2Pm3BRsb5yrJb2WnRPXH+7UoLtiCHcjNxVYuVnnK54l+3k9jW7/lFwudaR+VcSRN fhPVxdEidXMxXQ0w0psM8KLNVnWTsyZcojwQWHUEfr3qDtDBsBhTr/HpkF6+PPOOW3rlqxsR DDpX2TuVajJURzJqWEfcgHj9jp3qMOv4m8qku4mvbXkdhujaqj5dLPI3YeWXjr6+8Orah5L+ unxunrQLx42Nc0cGb3X1KPN+LYoLMokN5AobYUWZzlVGnm6wTFF0tYuvBr/Xr19HRSIGMSyI bqK6OOq6Lmuj+G8wXfcMhsgTTk36ojwQCASOB4GVH2TQqfD2go3G6kj/FcINRR0R55DK6ur7 MtWx8uDhJqAy1aEzxEY6QTpibg5DohKGuqGxRkJ0cDDZAVLppiNYsFeEaBHMJaOrI2+8eGtw ePhzigluWHt7zd9B6QMXfNKeGoofG1sWN+knnhhgMFBiIKB6XeCzs7MzvU7ayivFUZv689Tl LRTXE3jwpoWBUVM/0MaW4AkEAoHuEBj0dIk6Vty1Nyqb5jUyr40tb+4mTidMR2Zf+3JOnn3d bPXYc6uT85w87KDTF1GfDpCf7LP64fM6VNce4VF95ZPm52/6kuf5qacyyVC6hCE3LfDRa3nq aWpCdSUrd8SG8fiLI+2DLI+5r2tl23Px+by6tC+TjNwxx+vzSPeBC1iBDXjlYsvGqrWJwSvU 9CaFOooJW5+6Nq1rAVtExG/dlKLql+JIcqwNyuOIXXV1JV/2Uwd7sBH/sfnmzd10LZDPoCso EAgEhoHAr/5Q0TBMmVhx8uTJ0b1791Insrm5WXUefx3t7+9XT5uHo08+2RrduXOn6lwepDQ3 vCtXroyePz9M6zDoaKl7+fKl6r8uzh5xiy2SqY88yZ+8Vbg1On/+fJrfffr0aZJLZ8bv5s2b o1evXo3I51U2AwjS/OgUJW9//1GSCR9PgDs7f5razGtc+NHJETn6rxX0WpnwesI3fKajRyeY TOzeq9Z57Cc7nz9/nmRTV/LgRxc3RDpdYQhmDMJsug5DfORNBrhhP3XBhvZAln969u3HDeDE Cez6c6XzUfJ9b2+CuffV24kP8gfd4Gbttn7kYsPX9/iylkdY4iMxgvwmXfj95ZfjTnHBlytX Pk/THnWxCu4Wk/F4nGzm5ko8+fYAYxtDNo5PnTpZ/WfKqRSv+MwPeRcunE/XE3g/eHC/iv9/ pOuMtrXk26sujqwNxLGPk88++yx7HXNNyV8b04eHz1O+bGTAUS2CTXEKFvo4mrU3zgOBQOD4 EHj27FlSFruwHh/moSkQCASOAQEGwbwtCwoEAoHlIRC7sC4P+9AcCAQCPSIQA4wewQ3RgcCM CAx6TcaMvgR7IBAIBAKBQCAQCAwIgRhkDKgxwpRAIBAIBAKBQGCdEIhBxjq1ZvgSCAQCgUAg EAgMCIEYZAyoMcKUQCAQCAQCgUBgnRCIQcY6teYx+8Iq/qHQkGwZCibvkx1dtH8XMrrEfJn2 NOluKu8Sh3lleRt9el65UW82BNZ2kDHLdvHayZHdKCMQmwOIbxL4HWmba/XD0YctfDuDXT3t Dql+l9R+vAmpsyLAtzq0C21T3VKfMIuMJh1dlPcR023tatI9NKxyfnkffDpXJ/J6RGC5+7T1 o52dKtn1kV0bm4hdHbXzJjs5tqnTJLOL8oODg8HYkvNHO2Pmyo47r0tbiAdi5+uvrx9xg7gg P2h+BPqIaXZipV3Y1bWOmvqENjK8fMUEMdM1dRnTs9pWp7st3rPqLPGDMXEzK3kffHpWecE/ OwIrtwvrLOMsvvgH8TXAJmKUq7cXpV1Um2T0Uc4TA0/PQyW+HDkU6soWvcHgU9U7O3884h5f C/VfDD3CEIlGBPqI6bbfxJilT2h05A0D/hAn+hR723pt+LqK6Ta6PE+d7rZ4e5nzpukDwXlW 8j749Kzygn9+BNZyuoT9PPi8sjqWJniq0XkTy7RcAxJl+LTyFz3u7v6l0+2rmRLSjpWL2jZr /Vl1g6l+OV2zysvJyOWxVTnEp7VzxIZkfZP85hPaXVFbmeLj2Ad1HdOz2Dhrn9Akmxsfn0f3 u9/S55SmZSRTOCv9vh3lv4/xXP6jRw/fGfD3hVdfcd+Xvasid+0GGQQKo1aeLghi3lSUiA6B tx3U4caloGevBEbQzMuzpwTk5/V8mjqldQriZe4YPchm/Qf51EMPHRP52EI+5aTlA7Kpr6dB 1cc28iTb2koe9fETP/AV/RBP7fIR/fKdI2nZyXkbQofkyW7qzaJbfuDb9vbVai+OC1O7ZENO nsoslthtO41cm6qejnrztbX1dmt7lXG0T3EeP3zWmxBwp71Iq+2FO3JytoiPeviO/ci0mCjP tj3yZIvaDPlQSWYqNH+sDo97zlaqep22zXN1fEzjSx1Okg8fP8UnuiUffy2ulOVolj7BYoZP yEc/9lh6+fJFup7EQxk2giVH6skH2gvCDvhpY/kjX9ABn/qbVKH6Qzll9A8cbUyLh2Pp+rNt S330l+KHcuzWdWDl+3P2+oEfWcjELmFn2wQe2hkelfsYL+VjO/I5iixeFith3cYH2YRsSGmO QT0gMPtMy7Br3Lq195o5Us2XNs3VUm7n2qn/wQdnp05WN7okjww/r+fTzOOTlyPxan5Rac3n +rlOlUuW0swtQ0qrHB+qDaKUzJYLC3Tho3SDFWny8Zej6FK1TiVHFjfZjhwI27TOhbSd767T LV5sgCz2KePNHyuPLNkif2SP/K1rUy/XxoIts+e0AXghVyQdlOG7jSGLhfhUz/qoNv2+whFf hAM2ca52ER8yZIv1Hd2KBfF6mdKvo3SQlk0lW6WTchFxgo5SHfhki+qUcKqLEfxSrCLHt7Vk 2yM2gQ/2+dgRn82XnbpW0WHxR57aRvrJgxSLkotesBGRRhfkfaFMMSs55EHSo/KU+eaPyvAP wn4bc2pb+FQuG3JtKf8Tc+YPdZGPPOmWXdTVOVVVTj4k2diKb8KxlI8uyQNje10pTtv4gAz5 TLtyfulNuygtG5Oh8WdhBNZ2TQajYs2fM2Vyt9rOfRbilTm7c4qYn79xY/Jk6Of1fJonYJ8n OcrX1txKaz7XPiVTR+W+Pj7lysnT01GpnHwITHjy0BoDjqTJrzqFNLLnKYGnA9apNBG2P3ny 96k8bPdPfpJRp1s8wgiZwkdldUfxeizr2rROXqmMp0bw4nW5iHPyKNM5GBCPdvqlzha1Oe2B L/gvIrbkl/goky1qS3g411OeeHMyJVtHj3vJVum0/ms9U6kOOmSL9JVwqosR/MIXYXFwcCBx xeOsfYLsFB7o4hzfIOzmNT4kOx4/zttBubVR/NT1vtDmu7u7FE2pFNNThuoEmU3XX1P82LaU /1aHP2cnYvRaf+Chrn0TonLJ1NHHYynf6i3FVi4eJc/W17ls2tg4l7KUrquTGOPPXAj8eq5a A61EJz95ZXk9WUjwkCYIdbE2mc6NgRu5XvkReC9fnmmqlsqpx2vEoZM6xOvXJzhhL/jwCph1 B1ev/m7qP50BeboQc76BO680OW5snDvSyXj+Ot3i7fpib9um3EjgJWZoSxGxoJs2OMk+i4nO qcs8PXhMbpYvqjnlHYlK8ueNr6kQc4I+SPo5xz7lk25L8kv8Jdwk2+psqqNyewTLHE51MYLu rWrAJcLGOuqiT0A+2NCetC2DBuymHT1mOVuwIUfelxxPm7xZrj8vL9eWi/Zhkul1LZqeJR4X 9WFRW6P+WwTWapDBE8tXX12bDigIduYy6RzaDjLoOLnZ+CeKt5CVz9Cnp58y13BKuPn5GwUY 8lSkmy3YMRipw4M3PQzkDg9/TvImN+X6hYs53X0h07ZNeZrDb57ExuO3gwx8Bwc6cwZczAtD pIWfbiTcePgxOAMT4kE81GlrC7xtCF2QteXFCwZ7b+1vIyfHU7I15z/1if9SnZz8Opzg9zGC fG7u9gZyUC3yrqMu+gTko1NtzCCcdiUWiBcNQOvsyJXhP21lCR9nbbt5rj/plC4bPyob2rEU W6V4HJr976s9a7XwU68f1ZhcQHQGdPZcvDnSRa4OhBsNHZPS1PGdCGX81MGJFz772tHqkx7l Ka26OipfR89fSpOvztfaJn6OyKRMAy78FIEPOPEjH9zgu3lzd+qneDl6+5rK2uiWjDrZlsdj prSOktOmTZHLtAYxQ6clGdJ35szbt1ngQofHwEPEOXnCdmvr4xRzvFa2VGeL7PW6qa8yfy5b 1JbU5Xw8/iKpVb2czMRg/ohXWSVbpdP6j05wK9VBppdPXg4nYSif4CM+uaGDMfm6noVvTjb1 ZukTSjLQJUw55yc8LQbosyQe8nRupxJoI+SqDD4tPpQtKtNR+fCWKMdj8+y52lJTQchkyrSJ rIxJnaODJdlLf2LLVU/l0lPKt3VLsdXGB8mXPivXtoktj/OOEFh4dcdABLCwh0VBLCYSsSCI xUFaqHTgPuoCL3UoZ9EP/NUFlhYasbAJmfxUjzIWC1EGP2Wk+ZHWwivp15F86WGxF/KU1mIj jthBvuVnMWlTGj3wYJds4Rx5+qgUtspP+PHd+gEf/t2qFlfZfOqBiyVvj8UFOfzm0a16YMB5 iawv1pYSlnVt6nXAKxzV7mov8kXkCWv0ci5+eDgHA5tHfskW7wdpyGJCnuUTRrIFXLBDiz4t LzZKZhJs/lgdkklxyVbKrE708oO/VMfaYnWUcCrFp/RyXeOnrm9dN9gmwibym/oE6z92Uo+2 k1+XLr3FFNm6VqmHDfBiB3XlJ7GCreBBGT/kIQubRNQnjzK1kWQglzxIOnN+ogMZ6MQm+WPP Vc/KphwSpuggD150qzwxvflDHmXwUE/+Sz62IAd/JU/8VjdlpKFSvtUFTym2kFHng5Uvn9QO HKVHZcgLWhwBLfw8gaiOxishJhBYGwR4wuQJh3Uqp0+fSU/cTIEErT8CWoPzyy//WthZ3r5U N8c0fYYw3lTwFP9diwXVCysPAVkEeBPFWzc7Bcy/2TL9pbdo2YqRORMCDx9OFkev1ZqMmRAI 5kCgBgEGFDGoqAEoilohcLeaRuOroCJucKwbC1oeAqypYapKxECQadIYYAiRbo9rtSajW2hC WiAQCLyPCNi1TYv6zw1MxPqEuJkJjeUdGehZulEtXOdrtEH9IBDTJf3gGlIDgUBgBRFgmkyL FZkms28h5nFHC6lZeMgAY1F589gQdY4iQBt/882fq/Y4lxYj82aJhe5B3SKg6ZIYZHSLa0gL BAKBQCAQCATeewQ0yIjpkvc+FAKAQCAQCAQCgUCgHwTem0GG/7/sLuHsU3aXdoasQCAQCAQC gUDgOBFY+0EG82/s+md3PuwKYCs7BhpdoRpyAoFAIBAIBNYFgbUYZHCzt6u4bePYf0Vk4VWX ZGXzJcIcYRf2BQUCgUAgEAgEAu8bAmsxyLh8+bdpT4NS47XZxKhUtym/STZ7LWBfUCAQCAQC gUAg8L4hsBYf49K2y/M0Hv9ixkDAbqs9j5xSHf7/2v9fdok38gOBQCAQCAQCgXVCYHBvMrgh 8+ldfrwB0OZkDAZIK183bgYIm5u/OfImgykK8fKJ4NIGOMiY7Or4U9raXFMuqk9d5GiXv7qG hwdebNH0CEfS5KOLNGtD+IStZIuf+vjGrrHwa40H/ktenf4oCwQCgUAgEAgEBofA4tugdCuB jXXYCAdiYy42DiLNJjvaUIfNdexmVZTBpzps1nPr1l5K8wd+eHJEPVuGTuprUyV0k2YjoByp vrXNyvO6lWZDH0hpq8/6g+5L1SY+QYFAIBAIBAKBwKogoA3SBvcmg82EtrevTr+6xyY2LKpk OkN7SbAOQm8d/KiNNx68BWBbYFHTugnxcVR96UI353qjYnntufi9rlJaX5hTub6b7xeQPn36 JDZTskDHeSAQCAQCgcDKIDC4NRnshMe0ATd7iM/wjsfjNK3B4GFj41xx+gN+TaPYm7X2IqC8 iXL1GQgov6l+1+XWj65lh7xAIBAIBAKBQKBPBAY3yMDZw8Of0zoEBhqsmTg4eJwGHeRz051s xXx0kxuBpH9TZUAyzw06V1/7DkhHHAOBQCAQCAQCgUCgGYHBTZewDS/E9MPOzk7aVEg3frnD Td+T8ph2YHCxt7c3ZWEKpg0xMFF9LbYkj/Ox2RrYypJe5c2bRg+ko+QwyNJbHemIYyAQCAQC gUAgsAoI/OoPFQ3J0EeP9tN/c7Dmgps7azI++WQrrcFg4MDUx5kzZ0b7+/ujV69epakTzg8P D0cXL35Y/S4mftZQ3Lt3L9VDDrz8tHZCPp88eTLxcSPf3NwcnT9/PtVnl779/UdpLcaVK5+P rl27pirTI3L5rxDknjp1svqdqgZGf5rqglHl8Ni052c6hnUk4/GXo6dPn079YZBBXbvGJAmK P4FAIBAIBAKBwEARePbsWbIsdmEdaAPJLN5szDPto/pxDAQCgUAgEAgEjhuB2IX1uBGfU18M MOYELqoFAoFAIBAILB2Bwa3JWDoiYUAgEAgEAoFAIBAIdIJADDI6gTGEBAKBQCAQCAQCgYBH IAYZHpFIBwKBQCAQCAQCgUAnCMQgoxMYQ0ggEAgEAoFAIBAIeARikOERGXBa39AYsImDNS2w e/sNlmU00rrjv+7+LRozy8JnWXoXxWud6q/VIINva/BdCgKLr4Jy5BPl7HqqnU/bNh71/O6u bet2zcf3ONi9lV9cNLOha7Fb1qfhZ7O4e26LQdfxw3Wm64trxsvnOy+UU7aO1Ce2s+LV1Baz yuuCf1ntvyy9XWC2djJWZUe3NnayoynEjqna5ZRdVNnVlN1M2xI7uLLLKzurDmUHVO3W2taH rvnAQph2LbtveX1gt2p49IGB2o1ri2uMay1HdlfhXPmq5zVhy3VDvBwHNbXFcdhgdaj/Zbfq 46Rl6T1OH4eua7C7sC4yitNeJ/fvP0h7niBL35ngK6Ft6fHjg/RExtdBv/vuf9pW65VPu7X2 qqRG+OXLv51iWsM2yKI+sFs1PPrAQI2ta0vXmvLfl2MTtjxVEy/HQUNri2XFxLL0Hkcbr5qO tZou0SfDtY36Io1RjYRnqs5rYv1mqlhg5tUnv2WQ/LCvvh89eph2xF2GPcvWKTzsdMvQ8egy frqU1XVb2hhFtk93rQ95s+Kxu/uXwTyszIMHD28XLvznPFWPrc4q2HhsYAxN0dBfuXRhH69r z5+/kER9/fX19GqX6RBeczIdoqkRGO7evZt4qQOviCkYeHntx1FTB5KHfOTxuvJWNd2i15aU k0+56pFGJ+ncK2ZskM3ogziSJzuszZRjD/KQze/HH38k+wjxyha7+ImPOnW+IEc+wisZwoc8 YWl9kZ3yFUygNnbCBwbyh6P8kS3SKf3YJbI6tre3p+2pch3lC3ggB17sFR4qx1f5AZ9s4BxS WjZxpKwNHtS3WAkn/EUnNiGLc6iUnwrf/Jknfkp452RZXZwT22BUIsrwAzzABn58tviCIX5S Tr7ItiUY+DigDqQ2II0ejmo3yeJY0onsXHttbx+93nN4wIMutaP1werDdtkJDzqx0/Jj463q WiGfH3J1rjKLD3mWmtqi1M7IENbblT/Sic2SSb6uDfmKD9hrSWXw81P7Wx6dy1f4Ll26PJXV BifJKNko7LARjJGfa+OcD5Idx/kR0HTJaH4Rq1OTYONCESmtgCPIyBPpwlCai4Ybkfi5UEmr w5M8+NFDuWSqQ6AufAQ750qjK0fw2jLZJHmST11kYQ96IXisvSnzzR/Vow7ERW55c77AZ+2R DOpC3pccXtjf1k7Js76Cm0g2ygfZQzltgj+yjTxbTtqSytR5IpM29LKxBXwVRxYP5JG+VHVi kOxX+5XwgBc7sVek+LE2UCbZpXzV19Hbhy3kWUxJQ7LXlnm85Yvk2yM2SZbN17m1BT+ELeXC X9eS0pTBBzaluLZy4fdp7JJPlIukA+wh+S8fc+2FHbLR66nDFvnSxzlEfduOtpw4pFzxqJvj pObrhAcYlqiuLeSnMEGv2jl33aAHXvknneCWi1nKPXbSiQxPOV7kkg/V4eRleRtVH/+wwdtR 54OXHen5ENAgY62mS2Z5S7S19bFZr3G6tio7ujIVo3k+znktyys6kaZonjz5e9ouXvO0msJR XXaK5Vxp1W97lDzJp97du99O15CQln3ke1I96Wd3V3xhh1uR90X5OkrGePxFypIslXu8Pv30 07Sbbls7kQeO1lf+c8hSqf1oE/yxu9bKXltf5yqTz+jmXHioHFvwA7tKtLFxLhW1xQNm9LBz sAjdN258M6o6xfQfGWCJ71obVMpX/aajxVS8bfAW77zHFy9epjU91679/kjsC9+NjY0kWmkS beOlZJPa1JdLR9v4BTN/vXuZpHPYki99nItK8ct/q0Cynf7i4OBA1aodmp9MY2Ga2fKkrp1z 1w0xJ5+silLMwuOvfWu7lZHjxT70IUNUwknlTcdSf1vnQ5PMKJ8NgV/Pxv5+cjMXT7CLdBOx c/S5jkT8fR9ZqApdv359qoob4suXzetK+vDF4yWj2tpJh85iOY4bG+dGLORtS2oT+UW9n376 Z9vqiY+25AZ37dq1meqVmEt4wM8Aghus1t+g++XLM2n9y9Wrv5vm0/nevv239MvlW39LdpTy F8G7JNPn4yd6uInu7Ly9IXs+m24bL7aOPQdXdM5Kvr2ErWJrVnmz8DfpkC2zyBRvXTtLbxv5 pZhFj8cO3hJ5XviIf9lSqtdFfp0PXcgPGW8RiEHGWyyKZ3RWPImJ1HGRPyTaqXrvNp2EtbkP Xzxe6LMdR5OdPMnzZHV4+HPyhxvw3t5P1uziudoEv2bFQkIZlAgX5S1yLOFBPjby1Lq7u3tE BTdj3prQGYIdgx4GkXqb4vN9/SPCGhKL4N0gelq8tfVx8pEFhAwgHz3ampY1nTTFS6k+uNk3 WiU+n+/bS7FAft90+vTkv+BoX+Li4ODxXD7k7KxrZ/nmrxt73UpmKWbFawf12F8ijzN89LOy pVSvi/ySD13IDhlHEVj76RJ1ELxmtmQHDfYcHp8ej79IT2CSxQ2AIKXDF/k6SquOjsov1VM+ R3jb1JMdetVKXS54O51DXo64eTX5onqyXUfl66h8jxflfIxpXjslV3o42jx7jg780XTHhPdo 21s5/hzcwBEfJnUng0u1g+W3ei2veFRewgM+boLos/J5XUzbkc+NBp9u3txNN5xSvnTaI/ol V7ao3KeVzzFXZmVZ3gn/BF/p8uUTngmOW9VgQzcjm686VnebeBG/Yl9pdGAP+HkSTynftxey c9eI/PXymtLotTz2nHhAFwMCrhluuAyyRAzQ6q5r9XOyTfVyR6tX1w39gQi/+bihJeSWYhZb sZ16amOmKyCrS/I8zsimrq49Xy8nQ7Ls0fru6yhd8sHKifNuEPjVHyrqRtTwpBBs29tXq3nM p6NXr16Nnj8/rJ6g9kf7+/vVU/JhNRf+YboYuJAo50edmzdvTtNb1Wvqzc3N0YkTo+qC+3NV 91F1ITyobmK3RufPn09PZZJHXfh1cSKPi42AHo+/THag95NPtkZ37txJcmSHH71jKzzU5xWi bDx16mT1BcVTVcfzp6mN4/G4+hez86ljwrYHD+5Xuv5RdVJXRidPnjzSMPfu3UtPx9jGzQxb 79y5XfSFynRs8hHMZAsy8NeXo9fidfv2ndFXX11LvG3sZI0CT3IMFHgq4n//0Y8+/LO2gI+1 B6zBF9/kKz5SV/ZaQMQD3pzfufN/UyfHVIlvR9qBdvL+osva5NMlPJBFbKGbmwo+Y8Ply5cq E08kv9Se2FItiKt8+H/ZfH0fQb7NEj+0TQlv2tfKAl9LvGXCd4i2AHsbcx4r/CUeHjx4UMXx ySPXGjJsWzbF9ebmR+mG++23/53aluuC6wnM8IeBmbUF+bZNFQ/eRt9eyNP1jgyLR9O1Cb/1 qSl+r1z5PMU7U52Ta31y/dLXQAw8sNu3A2VNbVF3Xem6uXnzr1V7PkpxSL+pt0jEJYMb2u+z zz7LxuzZs2dT+3PNIgc7uRboF3P9nO9X4cV/rj3fJv46Jy4t0c7Wxokfk34+19/SxrnrDh+C ukHg2bNnSdAJ1o12IzKkrAICk6mH/xr98su/VsHc3m0MPHqHOBQsgACDpeq/PKqB77i64f8x 3bB5WxAUCAwdgYcPHyYT1366ZOgNEfYFAoFAICAEGPSyRxGDC4jpHp7alY4BhpCK46ogEIOM VWmpjuzUoixeYQbxiv+fCYbAI6JhCAgwoGDqS4MJBhf8trbe/nfbEOwMGwKBtgj8f8Hi54le 264+AAAAAElFTkSuQmCC --------------5W6TKVBtXqqZmdRr4WzUqmwW Content-Type: image/png; name="warAndPeace2.png" Content-Disposition: attachment; filename="warAndPeace2.png" Content-Transfer-Encoding: base64 iVBORw0KGgoAAAANSUhEUgAAAhkAAABwCAYAAACzfmIwAAABWGlDQ1BJQ0MgUHJvZmlsZQAA KJF1kc1Kw0AUhU+0EjEVRAUVuuhOhFpqWx+gdiEFhZAq/uCiaRrTSlqHJCKivoMr94L4AiJx p64EcScoiHsfQOhCreOdVk2rOHA5H4czw+EO0NWrM2aHAFRrnqPNzkSXV1aj8jNkRKBgBGHd cFlGVecogm/tPPV7SELvJsVbhY+jm8rUbqLQv8bHlIvrv/mO01cyXYP0nSZuMMcDpBixuu0x wXvEww6VIj4QbLX4WHCxxefNzIKWJb4lHjDKeon4iThWbPOtNq7aW8ZXB9E+bNYW86SDNBHM I48coqQqkkjT4J98upnPYhMMO3BQgYUyPLqbIYfBhkmcQw0G4ogRJ5GgSYk9/95f4G2MAtOn BK+BZ2qAn6PqZ4E3bgND9H1X+0x39J+tSvWQu55KtljxgZ5Dzl+WAHkCaDxw/uZz3jgBuh+B y/onku9iEySSq28AAABWZVhJZk1NACoAAAAIAAGHaQAEAAAAAQAAABoAAAAAAAOShgAHAAAA EgAAAESgAgAEAAAAAQAAAhmgAwAEAAAAAQAAAHAAAAAAQVNDSUkAAABTY3JlZW5zaG90xG1c 7wAAAdZpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRv YmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDYuMC4wIj4KICAgPHJkZjpSREYgeG1s bnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4K ICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6 ZXhpZj0iaHR0cDovL25zLmFkb2JlLmNvbS9leGlmLzEuMC8iPgogICAgICAgICA8ZXhpZjpQ aXhlbFlEaW1lbnNpb24+MTEyPC9leGlmOlBpeGVsWURpbWVuc2lvbj4KICAgICAgICAgPGV4 aWY6UGl4ZWxYRGltZW5zaW9uPjUzNzwvZXhpZjpQaXhlbFhEaW1lbnNpb24+CiAgICAgICAg IDxleGlmOlVzZXJDb21tZW50PlNjcmVlbnNob3Q8L2V4aWY6VXNlckNvbW1lbnQ+CiAgICAg IDwvcmRmOkRlc2NyaXB0aW9uPgogICA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgqpsfDuAABA AElEQVR4Ae2dPZBUR7bnizdrwLMkD8bqkgdjSZ56rEEeWmvGE2uptVYzzkprwYuYiG08NM6D sUDWg7XQOE+shXA04DHWiLGQIoiYxgPrDV7v/WXpV5xO3a+qutVdVZ0noipvZp48H/88mTfv 96mDikaFCgIbhMCFC78a7e39n9Fvf/vb5NXly/9jtLPz6ejixYsb5GVxZREEPv74v4+++eY/ k4ivv/56dP/+16O7d/9jEZEb1baMoY3qzmNx5i9/+UvSe6osMo4F/6J0iQh8++23oy+//ONo PN4avXr1evTFF5+P3n///SVqLKLXDQEWFsQJ8TEej9OidN18WKa9ZQwtE92TIbssMk5GPxcv CwIFgYJAQaAgcOQIuMj4lyPXXBQWBAoCBYGCQEGgIHAiECiLjBm7+fXr1zO26M++TNn9rTh6 zqP0exm6liHz6HuhXeNQPg4lB2uHlNXu/WrV5n7n+dWytlhz0hEoi4yeEcA1ynPnfpl+P/zw Q89W/dii7KEmjC+//HLEDY/8uMltaJv7edbOFf1etn3L0LUMme2ILVYLxsTC9vavR9eu/Vsv YfCdOfOvKY56NWhgGhKrIWU1mLuSxXlf5PmVNLoYdeIRKIuMniHAkwk+ncCNYkNSlP3OO+8s LDreLc8d869evUo7l4UFDywg+j00prmpQ+n661//mm4YRP5QMnNbh8qzM8Ze6cqV36cnbnjy JpZbX5dy0yw0Hm9V//PTkFgNKWt+j/q1zPugX6u3XDHe6DdoPN6q/kfTm1XH460qt7q0KAar 61mxrA8CZZHRB6WfeN59d/EFQJO6IWUzqOMZESblZe/Em/zqKh/S76PQxdEjZwOko7RfnX1T 7MRe6enTp1VcvEqLIx/ftK4pHWLRq+whsRpSlvYtI837YFYdebzN2n4V+BfFYBV8KDbMj8B/ m7/para8cuVKMuzmzZu1BnbV1zZaQuGy7eDshcQRUFx0UB7zbTsSzoow0X3//d8Udyjtqj/E PGdGW/HpuBdLN2/++0peeqqD9vHjyXPq1oHjsi9Lqeu40yHGF3jFsZHn+/gY+6DPWMntXrV4 m2csRgz6YFZ4NgwB3pOxKvTw4cODs2fPHZw+febg6tVrB5cufXzw4YfbB598cvmg2sFMzbxx 40aq293dTWl1hJbq7t+/n9qeP3/hgLqc6uppix508GNbeXl7ZGIbKT94kRlJ25B1+/adWDXd rrND2bbHb/CIZF2XbPyPdorp8+fPE67UwYMc6ijnR54ffmE7ZVFWjktTvZiKEXY3kX7T3+jG bzGN8WAdtkFtWKgXXrYltvEdoj3byI2xJW8dHtEe6qEok7y+I5effPiHPuOZFPui7ugT9fSB FOtiufV5qj50QNpJf1KXk/7CRxtsl7Dbsjq7m3y2vak24AvyjcGIgfrRx7YUdVBuXFof07rx Rb0YqgOZdZRjF/PYim3GDu3RRxk+keZ9bpk271b21+nO7a6LN/TSXsrzlpNqdx5z6NZW6tAj EVvYiw5SYy3aQlvjoEmHfWo9siDzuU3yw4Nu7cM/eAutHwLffffdAb/RqplOcBFYBjfBFwcS EwU7RoOSgemOEl8ib51vsZ7JgLbqgp/tKC/KIPhpL9GePAMQsq31TCrYV0fRDuqVrSxxsO0s spVl21wWurEN0kZSMcUvZEC5rFQY/vJ6MdVvZIIn/VZHeXv8jJhqO7ggEzvbsKBO34wdyqCo C3u0sc6uJjy0xzZRpr4qF5vxXVzx69JPk6220R6qi2vr2vzVjro0j7E8H9tEfynXTrZpx0SP zbnd5PGxyWfaS/iDLHlzWU19Z0zZj8jL+0Edprmvdfg2jXNk5O3zPHjRv/rANoRdcacY2+l/ Ymz4i/zKo0zK6/O8fKbUa4+22pfw0M/KzzGybymHxBxf6UPHGe2NF3Xgq5Tb2MbPIkS5tGdb 2cor6Xog4CJj5e7J8FrrTvUaaCieriR/585X6Zqy5dxvwCk8TkXOSrSh7e9+N3n9NO3Z7iuP U/fo5+2S0J07d0YffPBB2uaPt0zeuPHlNN9nA3mQONhmEdm5LGT6Bkwug/D67WpyGO3uXpni 2HS5SXuaUjHVD/qJbfqtD9kXYqrtyMBO7G3DgvaenjVG/vrXp4dUc88Klw187fihyp8yTXho T12b+9WrqYkdfSclT7k0Hm+lTW1Lmeovj2tssw/a/LX9oin+8iQSdnCzYX7PxgcfvJ/GYm53 H59z28Q9l9XUd8aUsYG8tn7I9ZHP8bVv5pk3kOf4wQdi0j7Hrr431SKni2b1s04efQeJt31J 2Xi8Vf1PKMcIfvyiHNIWyhyLk5Zv5ajD8qZ0PN5KVTk//XHx4m9SHX9sV2depvmysX4IrN09 GewcYhAapPNca7aNMug+t63r6tLxeGu6E2FyYeHhdVUG5evX73aJ6FU/tGwnDJXzFAo7GSdd 7uP4/PPJkwXy9EnFTRxpgy7Lu2TEdk28bVgwIXEPCf2Q+6g8d6Q85tvk4zx4uJi5du2aqtJk zM2WXQQ+Ma4jf5u/kW+Rbfzl6RNjlx0JZV39sYjPub1NfWfsRFt++OHHvHlrPsdXWcpubVxT SXyxgORHvJGOx1vVk0eParjXoyjHCKtnGbtDeDnpj7eLjCFkFhnHi8DaLTIY3HxvQGJwQ5TP SrZBhpPOrPKw5d13JwsJZHCE4xHorPa08S9Ttnr39/+RHs9kocHE6RGn9X3SOkz9PkSf9uJ/ 8WLzRNOGBTtK+oAdJDtnj8KibupYYOijNkcetufFY29vbxpPucymPDbEuIaPCZfyNn+b5M1T zhE5mKGXMxQslvrG8jw+5zY29Z39E8dp3rYrn+NrnCm7q31eD0acWeFMJeOFWKGfWKTduTPs e3Ry3cvK5xihZ5axO4RdYBgXamzHM1hD6CgyjhaBlbtckk+0wmH5zs6naUfoJMGpbwIz7hDh td72MbWeNrRlQpXYzuVZpw2T1fbkCQ30YxPEYMgfH63byUV52qnsWOc26Syyu2QhL+dhgoc4 gmWHwYSTT8Damhhr/qgXU3CAKIsY5c20Q0xtZ39aH3U3YYEMfvLGfkWvstj2dDc71TpqwiPK oF3Ma7M+UI89nh3K+WM+j2vqOLMENfnLIik+TpuYs79oH1V5XnZsxG5wwY9bt25Wp6nfYpO3 M9/HZ3XYxv4xpbyt79DBmOSykcTlnS5CrjpyfPG1aZwrV3vtT/PGmDEkP6k8XWXaFfncjnb3 kVfHoyzSvD7m43aOETbiO+VRTp3tUU7kTQ2rv771xDp9y2KN2AZj5iPIg5+UKX9rg8Av/lDR qlhLQHOE+ebNm/S7WO3wmEifPHlSHSnsV/c7vF9NvJdHp06N0n0QT548rgbBo2ryuT06f/58 cuPly/3RvXv30qRFwOYU63d2dkYffXSxmlD/NHrw4EEK4snR71t5tsc2ghzbGGTws4C4fPmT 6Sn37e3tEfI5ukEOPB9/fKl6S+g5xUzTaAenJPX7zJnT1RsWz1QD6/ohHPrKxsZbt26lts+e PUunO5WN7eAlnvgBxtDjx0+SDdiNrxzBcobm9OnTU2ywIfclr6cfwJR7KuifHKMpANVGHabY x2N73NsS44GJHZxY+DRhgW58Bnd8hR95+EldxIG+Bwfwoi5fUNXhATZRBr7EPDIvXDif+h+9 jx59W9nz9xSz9Ke4E8fgEvN5XN+9ey99PbbNX3wl1q9duxphTdv5uCEPP+Mo9rsN9/dfJl+0 G+yrG/6qMvpxMv7oV/TB43gkfpp8JjakvC8Zmzs7n01tQg59Vtd329sfjj77bCdhRr0xCj8/ Y1hdpHF8oYuYaZs3Ylu20UlsfP31n5MOxiQ+4zv6WYThH3FKngUQl3AYM+CFXfCKHX1OnGE/ cuvGEnqj3XFeqJOXx1AewzEG6vqOMRXjlziKGMWxm/efYzHqqIvr3MauPOMADFiUnDt3tpoL JzEEdowhsPMFceBVaHURePHiRTKufOp9dfuoWFYQ6ESAsx137/5HJ19hKAisIwIs4KqnS6oF 6U61yJi874czUIVWH4HyFdbV76NiYUGgFQGOQstRXStEpXLNEOA7OVwm4WwbxOUSzlSx2IDK AiPBsFZ/a3fj51qhW4wtCCwRgaYnY5aosoguCCwVARYU8V4XFhf8dnYm94UsVXkRvhQEyuWS pcBahBYECgIFgYLArAhwBoMbtn00+p133q3OZPym9r6bWWUX/qNFwMslZZFxtLgXbQWBgkBB oCBQENh4BFxk/MvGe1ocLAgUBAoCBYGCQEHgWBAoi4wBYPcmJUXxaFihzUMg7+fN8/BkelTG 69H1exlDR4f1qmjaqEUGkwXPbRPIvh6ZR/y4Y5kfdRLPW1u+vf3r6d3M1NOeMn5tE5Cy4YO4 2//cuV9W7w34VWu7xFz+1gYB4oZYsZ/XxvBiaCsCZbw2w8PNlsxvPOnhi7HY5j0X81A+V84j o7RZUwTW43tu/azkK4HV2+LS1zb5cqPEl/xOV18KjF9xpI4vBVJOu5z48l+UkdeTRxft41cC +cIhZYU2B4G6fl5H7/h6pl8LXUf7l2HzOo3Xo+o/vrrKHObXV8Wd+XPeuW2ZY+iocBGHkvZD YGW/wrrIWo2zE3xvgTft+Vpo5Pn4E2+ti8TjUlBezpkMnsfO36AX27Jd98y23zHJeUt+fRGo 6+d19GZyVDp5ffw62r8Mm9dpvB5F/zEXcuaOuTF/RJp5ND5eOkt/LHMMMdeDTaHVRGCjLpe4 aOCRp0h+X4FFSLwmyKNSLCQoo05ioNW9ktz640ixMdp+HDass85Vw8/LcKZDYqtMU2U/fvyX 9Mp28yVdLwSOov94jTzEgqKOHjz4pq74Z2VeYvlZxYIFjuM4F37zzX+O+BVaUQT6nfhYfy4u aXCqj1N+EKfvuEziqcF4ySRuw0sb2u9Wl1dInz59SnEiZFImsT3vKUVkoJv2/Lhcw0+ZXPaB OD1IGbz82KYMsj2ngaH79+8fnD17biovFXb8oXN3dzf9kIeseOqUbXWLpyLbsJKnb6ov+I09 +Ikt+KoN1FHupS3btOHXR3/0A93IQ49EDJCnjhScI129ei2VYw/12ofd9gd12E/ah/QNefx2 d3cP0EMsQ22ybWsMxTxywFVsoy0RB/Ua/2KALOosb4sfeOBHJ23Y7kv0u21IkSHN6o82gAd9 Owu1YRJtRAd2UgZpIzhDdWOzCR/b2n+xr4kB6qlDn7GWlMz4BxaOna6mbTGODOKcPtIeyvCd MuzsE2/GlP4j023qIg7oifk2XGiLDdqSj98u30t9NwJeLhl1s24GB0FEkBNYEBMFZV4rpI5t fgSeZDsHCnkC3XyUSRvkUzYvRXuUoQ3IZnAgH/sltimjzvb6CQ+DeRab4EeWhK/KU5dYgQX2 QdopNjlWyuub6guTJ9uQvqhTHu0zH/3VLnm69OujfsCPPNtTHv0mT7020Z56CZttS5k+PHz4 MPWjOw75m1J9i7LQFfNNsvO25uGXbGteHGIswIOfOQb44riAJ7aBVxvhQbcU9VtWl+YYaz87 Esh8lMd2jIMmfyJPne5Y1iQDTPAZWfBIkV8bxQKe3MYmfNraGnd1PNrRJxXjPnjgV1uMIyP6 iX7Kon+57/gBD3ZA5OEnr2/qZMyIcy7HfBMuyEOO9fptPikvfwsjcOIWGQQpgWUQsxqWGAyU E7SshB9WE6ZEwOY7AXid3NiOg0lZtp8nRSY/CXvUs1stgNjGH8kBSB0kr/Wz2oS/+C0WURfl /CRkmydtw8o2s6R9fMl5yPOTIn6WtaX6L4/44itE3yO/CRfKY12Of55XT58091Xb3Km3yc7b 5vm8bY5DtK8OA+RRbrs8frQVPYw1dyZRbtt2zp/bn+f7+IOttOtL+lbHv1uNP2TFvtdn6qA2 G+VtwqetrfbkPJb3SdWPjC6Cl5+UY11nR16Wt+maP/L2TbpzufDFtnWxi27nMeWWdDEEXGSc mG+XcOMR92xw7wWPrvGpYonrj9yH4X0Z8YYnHuWirY/E0sZ7PGx/lCmfk4bijVRuW5cYFvjj q567u1cOPfLLFxDBJcdjPN6aasrrqDhOrKaGzbjBvQze30PTajI9JAE/IW4ylvjMtfjTHvy4 qXA83lrq48z2PZ8av3nzpuYMkuY4RKF1GNjXbfFjnTdbgzNl+hF1xG2uwXNDIjaB9TxU5w9l s1CdDNvb/9EXt62Tty6Fd1586uTNWoZ+fmBN/7bd5AkOQ8f4Uc0fdbEbx++suBX+dgROzCID GLiZk4UEz3rHG4WcHJn44gKDNgw6bg4degJH9jw0Hm+lZkwE2AZ5E9R4vFXlFicmEG4yI2VA 3q9ukGWCZ9Jpw6OtbnGrjkYCPkNxYSG+uQV7e3vTPoh1vBMALIwx3puyLGqybQh9xH3EQZli RL4OA8ZYU/zQZn//Hymunj79axqP7KzYubYRCzrk0hZs8XuWdzZosym64nab7ljXhsl4vJVY sQ0bIftnPN6qcv1oHnz6Se7mYo4EV+bCukUGfcB8uYwYP+r5oy52uxEqHLMisFFPl3Q5z+Ag kPnFI1Xamb+YPZnCoGNH6+oXXiYOBpsTSJyI3bZu8tjZFZrNTMrgkVxpZ2cnbbLjl9y2jvJo R3UqXdZeqZMMEyqY3bp1My20wEg8tA2BnBmCrKvDap67zdWhL+hw2zpTy+GRrIv4WdeU4jO/ vM/hV8dOdeYLEveUqf7AgR1X3HnleXiVo322nyflDAZk3zfJVldebx4ZbsvrmavYn+x8eGRQ DDwjQXvaMS7a4ocFBZiwA0MGZ8giXsjpQ3kbbdYHZLhNnf1Ku+iPumxvviltx2TxsdmEj/bp E/a5bZ2p5fOMOfxjfrxx48vp/Bax0L6IP9sxL792YFduW539bfNHXfs6PXVy87bGbt34VWZJ h0PgF3+oaDhxqy/p0aNHo/Pnz//sEdU3b95UR1+P0w41enHp0qURdbdu3Urv33j06NvR0+oI 7PLly+l04bNnz1L9qVOj0ZMnT0YPHjxIeQYdg+bevXtpUtvd3Y1iW7fRhywm7AcP/l/1BtHz STcTM3K2tz8cffXVV0kXPEyaN2/+e1W+neRSz47166//XNU9Hb18+TINcmz96KOLo9OnT7fq f/lyv/L3T1N/2ZFwJofT/+h4/fpVmoTQi7/s4KhrwwoZ2Hrt2tVW3bFyZ+ezkfi+9944bd+9 e+8QvpGHPsC+Nvzoky7Cj/39lwkD9OMnP+SiA3/PnTtX7UzvTDESB3Zm4Pf48ZPUZjQ6Vcna T32ArB9//OFQjOAXsvrS9evXEyuywOLZs79P+55FToy/KDvHiYWA2DbFLqeQsY1YePLkcdKH /SwMwHlS9/NxQXw0xQ84ThYhj0aMpUn+TmdMoo8xxTikDTuOV69eJx+wv48/9uve3vXUD2DH OIMcrynT8teGCfPKomOTPqnDh517V3/lfQxGs445xjFjhLmDnfAHH3yQ+hnMP/vsfyYbbty4 0RrjtGcMMHeB78WLvxl98cX/ntrfNJbb5o/oP35drA54oDzm8/GFLTkubeMX/wsNg8CLFy+S oPIV1mHwbJTC5MVA6Hu5hQHEgGIiZ4cl8VprZLgKt3xdUv2623FafFF/1LNp+IkLccAE66UY y0taEMgRcCzMO+Y4MOBghUXjO9Un15mP2GlzpqNQQaALAb/CeqLuyegCZRn1LDD2qmv3fYlr nePx1qEFBoOdgc0AX1fi9Cs7/mXTpuK3bNyK/M1DYNExx2LWMwabh07x6KgQKIuMJSPd9wyG ZnAdczzeMptOC/MWPo5G1vkI4igWGIC2qfjhG2fFYpoy5a8g0IDAUY25BvWluCCQECiXS1Ys ELj2yeUSTk36mC03Y8VLJytm8kqZs8n4xceoOcL0qaiV6oBiTEGgIFAQqBDwcklZZJRwKAgU BAoCBYGCQEFgUARcZJyoR1gHRbAIKwgUBAoCBYGCQEGgFYGyyGiFp1QWBAoCBYGCQEGgIDAv AmWRMS9ypd1KIcDjeoVmQ6BgNhtei3IfFd5HpWdRPEr7k4HASi4yeOyTRxH58cZM8oUOI8Br vsEGIiV/EonHe8+d+2X6+fRFxIEJlzji/RL82N7e/vVKxhQ3dmpnvMkTf7AbP3m50qJErIjF orJK+24EYowucwFwVHq6PS4cBYG3CKzcIoMJkJ0Fj2zy402WPO+9DGLAMzAh0mVOAMuwX9uR zVMVx0noj/YclS3xWf66J3B47JfXokNsE1PkibOuxSv+HCWuPO7sewlMxZH8F198vtATJSxc WKggBxqPt6r/CR21r+odMj2uGOzyIcZo02PoQ9jeR0+XraW+IDA0Aiu3yOBVze+//8HUT98y Ny0YcIOPLh0+G/D2q5oDqlmKKJ6B9xFGti9Wr+49TmKnLZZHbYeP+jbpdWL3lcG8np0yXt/c Rsdxhmhn59NkUr5g4/XwOzuTb2O02dxUx8Kd10Q3vW/lOHxtsnXe8uOMwS6bu2J0KNu79HTZ WeoLAkMjsHKLDHYEHGHGU9+zvtCqL0h7e3uj77//W2InJb8uBEYekbIwW2QHNI/PnLaPXxfl jNM6veqaOIsx5lmsWMaXRFnAHSVxNArlH2/iOx0ulma1B9/4qBkLDOXnMmb1FZn+cll5Po+V vL4uX9cfdXyxbJkxOI8P0bau7Xlt5+xUfmmtS9dJrjdmja+TjMWR+X6wYnT//v2D06fPpF/1 MbCDp0+fHrKQ/KVLHx988snl9Hv+/Hmqv3r1Wmrz4YfbqRweth8+fHhAXcwrcB5ZeVtsRHb1 0aBUhV3Yf/bsuaQbHWxTDkU7aYuNtK/eVJnq+VMm5WwvQvoYZYrZ7dt3km7ryENghs34UYcd Ms+fvzDtI3yXH9lN7cEAP63XNzFCn7ZhB3IvVRjQTtso1yfKkaEt1DURsuGTyCNbW8gjDx5S +wkeyHxdfClTu7CJdvz0p8kX28YU/diDbRBjgl+kqINtCX2054d+cIs+ag/ybadv8HeRvOKE HPyG6nykzv5Bn7GibuqbYgcf1BN9wAZsdXyjO9bjY8zX8dsGOdiiDcjMKfdBf29X2NqelHwT oQOsxKjNdmTU9WMuG1nIBCPkQ216bK8N4KvN9mtdfDfhh7w6WeppSoll8DJGjUltoC/ww3r6 EiKljh/t5bEeni7ZxlOMW9oVGh6B77777oDfaHjRi0s0mAgEfgQfxA6KAHPClc8dNLwMEvME ImUGIUFLfhFZtGVQRDu0iwEHYQP1EvlI2IBtEG3JM2Cg29VExUCArKNsHtLO2B694IGt2ChW uQ9i5QQgltqBvWJJmfzWm1e3vugn9W7XtaddxBBM6Pc6n9Sl7roUW8UV38mDQ9RNHr3yxX6B j3xdfFFXZxeYKbPOF9rVEX5G3eBkP8EfbRRXyiBslxebxDjHKMqnXZ6nrIngFSNSdPNr8hEb aCN19b22Pnx4uD8sb4pJ66Me9NbxU0YdOiBS8s4tyjDNfegaP7Yztb36mmyVv6kfrTfFZvuY si49t1v6CVl18d1kc5ss7ctT4zXKjPOjNtgOHZTZh+LmQg95xB31fWTncauekg6PgIuMlbtc wikcTunu7/9jes8Blwa4fn6/uqbMaS5P+ZKSp1ziU8yeVh6Pt1Kx/PF65byyEMip02gH+tDh NX4uXVDvzXR1HzYbj7cqSZObEdPGT3/wcuoa0g+ux89D2hn1c0lDW0nVkfsgVt5MOR5vtZog v0zmd3Ym9xioJ9bzhUdJfvNcAuIz0xL3UdyobgCu8ylva5s8rSahdGqZSw9cHsN/yPbksddL aHl78nXxRXmdXW+xrveFdnWkXcZofqmkLUbwcbd6LT32QF5q1Mc6ffOU0R8QWIFZU3/VycaW tr7X1rw/LG+KSevVab6OX3zE2jS/F0ZZecpYp41xnY+fnN+8erTN8jzf1I/yd6VNerr6qS6+ 55VVZyM45WMvv7kaGyTnLudWcTL+Iu59ZNvOuFVPSZeHwEp/II1ryCwwuCmKSWE83kpIcMOm xM2PfIp4VnLHPY8sr9sT1BLBbzkDg+uk2PxO9YnknWoS7ktPnz5N/jIxOqD6ts35tCfaKQ91 F7ObRaMP8i0z1b46HUw8YOD1Zmx7/frtfRR1PtXJiWXch+FON5YPsa0vdXY1+dKkFxnENfFD fDrRyt8WI4wZHnd1J8o9JZ9X374ZmvLYnNVH8Rrarr7ymvQzXvsQ7Zc5fpbVj7P2UxsW88ji 4Iv5nHQ83jq02KzT5Xhq6i/aEIvEO/eodcmOccvNznFR6UFBnR2lbH4EVm6RQeC62sQtJkiO ephYx+OtqmSUbtA0+FLBAn971c2es8pi5wcxUGzL0abllLH650iUo3HL+5jJDXr4zyTDwHIF 36dtzqPeaCc8yKUOmyNFH2L5cWyDITjkiwIWnVDu03HYGHW2Yd3kS2yfb7OwYOKk/4nRSE0x woRJ3HEWkO3JIuXfpmcEo4yht+fxcWgbZpHnYsL5xp3NxWzh3SRzmeOnrR+Nsya7usqH7Kd5 ZHk2khilPQcRd+5Mvi5cZzvjHIpnN3K+H374MRXNKvvzz//XobERz5zmOkp+fgRW7nIJp3pz IhgJAB/ZdEKAjx2mR23k444zbud1i8iiLTZpBwOB7XjGgsmK8rhgwgapzjZ84efAin7RbtbH 3LSTxY6EneyosZVtdeU+1NmnjDylbV/+nI+2/J4+PfyeD3ay0T50ssPVJ077Sk4y5vMU+RCn oOtIm+SLPNZZFvNxW7vqsG7yRZl1KYsFiJRYk9pihHgBM4h2LE6Iv7odIjzR/pjvE2d5274+ RozZ5pf3vbIjb7SPbUi+SW62PPZC+MqOjpQFrbgrsy7Frp2O8ZO3m8XWtn7M5ZJHtlh16enq p9g+bqsn6m+T1feR6FxHrodxTvwzvuqI8UDM0x85dcmmr2nnL46zXFbJz4/AL/5Q0fzNh2/J UdqbN2/SouL06dNpAfHgwYMqvT86f/589djk+XRtnrMbjx59O3r27O/V6eHL1YR6ffTkyZPq KG4/rXoJPnamyDpz5nT1O5N4yPPjvol5ZNGWwfXRRxcr+X+sdD5OO7/Llz85dFoafewUr127 euhMBpNZtBMe8wQ98vGXFLuZgF++fJl8Z2d67969JLMP8lwewM5bt/6U7ETus2fP0s4HXadO jWp9YNCKHXZAMU9b+mbSL18nW+/evZfSJv7cb/qMo0gmkcePn6RJEj9pj/zt7e3K7/3U1/Ch 6+OPLyUc8AncKCMGqGeStW3EhnIWrvhNfc4TfSVm3ntvXL2w6lza6dgvHEXFfiIf4wuZxkQT 1nW+oKeJxBefwUKiT/EF39EbY+S3v/1d6ifHBr5VNygmfGL/Ud/uW3OcxX4EW/oKauovfNQX dp7w/e53v2vse2Rpa+yP2E/4HfnmyTNeGf/EDkS/Iwd86/ol94GdXtP4SQLDX7S9bi6CVZ+x obo5sbYfsS0n4oo5Aay4FKCcOj1t42oSt/3nzzZZ4IdNjGdwjsTBouOeFF7i2Vi6fv166gfK mFOY3+/cuZ3GPXKIe9rhN9v37v3ftEjgjHeb7Bjz6op2le3hEXjx4kUSunKfemewEBDeM/H+ +x+kIBoegvWUyPV2LqUUKggsE4GTFmfseFjwsojixuumM5DLxHyTZLMQYHE16/1AvO5+Z+fT n10mFZvJ5ZWvRv/8539ZVNIVRWBlP/XOqV2DjNOXbBeaIMBRii/gKpgUBJaFwEmIM3ZWvGKd HSHEqXJ3iPnlm2XhvMlyWbBxtrhQQWDlbvwsXdKMgJNgM0epKQgsjsBJiDNO93PGNN5IySUx FhvcT1VoMQTyG7b7SONsEtR2j5V18JZ7KPqgevw8K3e55PghKRYUBAoCJwEBzmKw0PAReBYc 3GsRFx4nAYdV8ZFLVfYF/cBCMBL95c3wPB3E49mFVhcBL5eURcbq9lGxrCBQECgIFAQKAmuJ gIuMf1lL64vRBYGCQEGgIFAQKAisPAInYpHhtb6V740BDTyJPg8I30aIOmkxcNL8XZcgLf2y Lj21HDs3epHBNTzuIOfHo7EngbiuyWNgPIJY6GQiMFQMsHPgKQyIRxJ56mQV6SSO81Xsh9ym oeIwl1vy64XARi8yuHHIm4c25WYunz9vCjMfcR2Pt5pY1q6cnQh+F+qHwFAxEB9D5JXNq/rU ySaO8349vdpcfeKwaz5bbQ+LdX0Q2OhFBgDED+L0AWTVeTg64JW9TbSJj3X1fUVxEyYnrXyo GODJC+IN4q5+t1cRz00b56uI8aw29YnDrvlsVp2Ff/UQ2LhFBqd3PcXbF25OCy/rumEfe+r0 N9lz8+a/j76pPtcuMflfuPArs0eS9vFpSEN4A+NRP65W1yd9fGrqD+U19Wsf2UfNE9966RnB Lhua/O9qV+qXi8BRjNl5+j6fz5aLQpF+LAgcrCBV31s4+OSTy+l3+/adqYVXr147OH36zMGH H24f7O7upvTSpY8Pqg9fJR7aUV+9+z/VUw4fZRB5+M+ePXcoT331lddUFv+iPuyhLbofPnwY 2Q6wkTp0kVpfZ09sCB+2oP/58+epSp3IgdCrT/fv3z/Ej834Sj261Uue9k02w2e9PMjSHsok 9WtPl0+0i/Jph0+S/jX1oXym8qvfPO21PfaJPogJ7eQ1TpDdFWP0i+20Jab0F/q14XYVA3X9 ob30k1iiG/nkJev0k/KII/z8qLev2KZdXkdb/Wcboo38tCEPiUPKzPC3uzuJdWSyDdX5n4sU N9uLgTghD4r96NgQD9vCax1l+Iw/lMeYyG1QPnzoJ0V/E2mb8UBKG/y1fZ0+YgK+3d3D80L0 Ddnw2N7+IF4ojzHb1IfRPnRpn22RCTZxXsx9FVv9iXjYZ9bhV05NfY9e/LCtftI+4mA/9tGl buxANj6TIi+Xm+NrW1KxxrY6nyJv2Z4dge++++6A32j2psttwY6UwGSA8GMCpQwib9DGPEEm UR/zbFMmIYvBJqnPfEzVx8BgGyKYozyCk7z1ymPQQbk9qTD8EeBRnjopl9DJgIBy/tw/eJCH j9oUbcYu6uOgYhucqUN+1F1nT5tP8ud9pj7rsQkyjx91lNebb+sTMcptUId9hCx+dTGGfGyO sRLti/gyMSqbtK4/lUOK3C6c7aeHD99OnMjF9rY6bYx9hH3RR2SSp5xJGF9noYiL/UEZlPuf y424UXepJQ7sR/j0WT22xRdIveZj28QQ/rQ5j48oO7BPY9SYs330BT9ivyOLPLyQMYcfkPbl 9uY24RfU1ofa04ZljIckMPzZPtctHtHPGOtBRNq0D2I5emP7HCdxsE3kbdPVF1/xz/XaH9Tz i+NDW0q6GAIuMlbucsmN6gYzTtNyPY8fX9ajDPIa33i8VeXe5lOm5x8y4pMmyqxrbh1f3XR7 PN46xMod99pLhaeVuWmuD+XXktUTy+NrjmN5m3zaKGs83pqyahdfDZXY5jQ+dcjnRktJGX31 wv/993+bfprZ9n7wzvx4vJVUmE+Zmr+83nxbn2grbw2EbKP4PjGG/J3quzn4UkfVxJS+7sop YqjpNcrq9tID8pDbhbN9YDyZUt5WV2crr8umf5VBOunvr9JlKC5HzULEi230z/7tkgNuPPmE Tdz056U/5cT29iNldXFLW32ynfnY1jpTdLXFqHym2mbMmW8aY7Trmhe0L7e3KWbb+lB7xuOt SvPP4z0Vtvx14dE31ptUtOEkDrbtq6svvjk26mmbA+Qp6TAIrNy3S5h4CAzvqxiPt4bxdElS WLA4UaDCoPYd+0Oofad6ha6v211UnnZpZ27zeLyVdkDz6mHnxQTwtPpEPZPyKtIQMcaXcNlZ usjgnpG2py/yyRRcwKqJ4kI452mry3nJ4y907dq1lPLnzmxaMMNGdTSebgIdV6/hrvOrTRS4 Xbny++n4ZuxQFuOxrn1d3Nbx9Sk7ihgdel4Yug8jTl14zBrrUfas2311LYrvEHPArL6dVP6V W2Qw2TB5NR0ZrlpHYSurb8kdx3i8ZdHCKQNqqB32eLyV7MFOJ/YhbeYIgaOu/f1/JPnYTn6V aKgYw0fOKrDQ4C75RXbcOT4sLCHksyP27AU6eOqjqS5VNPwNNaZYJBD37BDm6V/OIjDJ0/b+ fbC71jnex+Ot5FWMWwqQgS2z0FHE6LLmhaH6MOLVB4+6WJ8V96izbttY76NrUXyHmgPq/Chl hxFYucslnIplAnLHh7kcGUOWvXo1OQLM84mp+qM+rzMvj3knbMtjKo/6qHPbOo5eo73uDOJn jqM9UX7cVp5Hxh65UY5Md2C5/lyGcuSj3m3qtIvJXXLbOsqVoz3KsA15eSyrS3N8baO8PJ/L yOvzPPxNsuQ1lW+WGMvtMc+OFmIBsLe3l3Z0+aSL3ly37U2tz3HGRujLL/+YjvpZxLCDQV9b HW2Uqb87O59SPD3rwjY8Lo7aHomGNxI7dX5S3r+Wk2pHLEMn8czlI2L61q2b6ayXPIfjfrKY Qo6xaazCjxznBn1Vjvk6G+QxbfMBHmUo03Yx77a8XfNCzp/nlWN5Wx/mvHk+2mudZXVpjkef WM/loEdd+gCP23kdeWMDPscVcZKPK+oXxbdtDkB+oeEQ+MUfKhpO3OKStre3q+B8le7DYOf9 4MGDNMG8+y5f3bs+evLkSXWUvJ+O7O/evXcoTzC+fLk/unfvXpoIT50aVZPYrdGbN2+SYQQu cghmjq6fPXtW/f5eBf6rkS+OiR7k+phcmdSiPM4wnDt3bnT9+vVkK/bdrB4zxQ8o2vPRRxdH p0+fjioSH3Jp//jxk+ptndSfSjbhPxNpddNnsttJNepHHhjh0/nz56ujy8OY5DZfvvxJpfPD 0VdffTVthx5txu5oD/ZTL+Y5xrlP3ENDe3Bnh0EfcOnk5cuXtfbl9iI/Ut4HOX/uH23zPspl XL58uXeM5fZoG32FHvuIBQCx1dYfTKTEINSFM/UXLpxP8uF/771xijt0MPE21RGLub+XLl1K MUqfsAN59Ojb1CfggB+Ml2vXrqKmk9DPuHn8+PHoxx9/SHLZtn+JwRiPOX77+y8TbtoR45u4 nLT9c4p74hy5UIzbJ08eJz7sYIGHfvuc8XPmzJmEQRwn0bGuGM1tjngS7+CF/Y6JPAbp47Z5 IY5jLjdFe5HFDnBn57OEszra+pAzEbPMi7OOWfssj/WIKdttsQ8eOU60sd/Yrm76bIwN6iP1 xdc2UQ/9w/hq2s/YpqSLIfDixYsk4MR9hZWBwqLCyZ7r6kz+34R3TywGbWldEBgeAWKUnQmT 5ePqRk0WGlJbnTxtKWOASx+FCgIFgYLAUAic2K+wcrrVBQZgsrre2ZmcTh4K3CKnILAoAtz4 zDd3OOqFuIa8V91cCm1v/7qxjrNGsxCLlrqzeLPIKLwFgYJAQaAJgZW7J6PJ0KHKOZMhcYmB U6Pe72B5SQsCx40AC2EuTXjqnrMVXOJzsdFUx2nkWYhr2/GsyCxtC29BoCBQEOhCYOWeLuky eNF6zlpwlMgNSEzg5TTxooiW9stAgIUvCwoWFj6+TLxyqYSUhUFT3TLsKTILAgWBgsA8CJy4 ezLmAam0KQgUBAoCBYGCQEGgPwIn9p6M/hAVzoJAQaAgUBAoCBQEFkHgxN2TsQhYXBcfkoaW N6RtRyHrpPt/FBjPo2Pofhla3iw+HafuWexcF94czzy/Ln4UO48OgbLI6IE1d/hzpz8/nkZZ lIaWhz08hshTB7y0adUp+r9KkxR28WIqsOTHNmUnhWK/rHucR1+GiDHwIB7WZYy1xSz3pOlL X2yYV86c+dc0LpCd59v0NdWt05zV5EMp74HAYt9ZOzmt868F5p4/rb6u6BcV87q6fJe8ujZN ZXyRkC9Eot8vMTbxrkp5l/+z4rmoX34uO/Yh23xFMn72elE9q95+6H7pkjcLHrPG+ZC6GVfo JybWZYzVYXu/+oqvX93FD/zpS4yF3Z++CkubPN9XDnyz9uUssgvvaiCwsl9h7bEuOhaWrg9B sbLn6KAvdcnrKwc+voDJEQmPPa7LS8W6/J8Vz1nwynk56uV9ETzRAYYS25RRd1LOaAzdL13y xLpPOmucD6m7WvSmp3zWaYzVYUoce/aCuSLGex3/sspm7ctl2VHkLh+BE3u5hFOG/Jqoqz5v x2u5j3MHz1tMj5KYqPh1nVZ3QltlPHkUFNqpHm/OyTJ58vpVz/MumAsXftVo5ir3S53RbXE+ qy918pvK+sS6bbswly9PHVOOmbx+qHwbhkPp6CNnVjuWjUsfmwvPHAisxomViRWcujt79tz0 FDWnO6v32afTk5w+J8+pPk7zVQGaTvXBH0/heYoUHuj58+epHeWUcZqOU4ac6kN2bDux4qC2 Hj7aVN8RSfJoi8xoB/Xoy/1Ar5cz1KE88sikrfLkiSk8yKEdKXhA+IIttG86rQ8vbZDPT0xo A37UazPyJXXSBtwg+bTX/oAHOyTy8KC3Dm/0UK+OiE/U0RdP2qALucYQ+T4kfvRlTpRhJzzR LrBGfrSbtnVY5zLJe3mG9mAljrQnH2WrF9+kiC9l9qltb1f9RZm+0RbZkbr6BVm0J50lzuVH F3rBD+oT59iN77QjJQ91xXmXL8jK+wq5xh82q4vySNhiDNBv9h3lkH6how7zNn7aWy/WxC9y oD72JcbwZwxiHzYhA4oYUqeO0DTx0AY8SCMPGNBOyvOWm2o7bZBl/EU78D0ndCOb/oLMIwPS P8q1k7KH1RwQ9weUORdEP5KQ8rd0BLxcMlq6phkVGFAEDOQkT8Cxbd5gh9/tyE85xMClDUSg yds1QPJ62lHGAIHq7KBe0g+D27z1yiPPYFSu9TGlnsGiH/DGiSjKiu3Ypg28yncgUg6m1EkO avJMuLEOHJWhL8iijDoHtLLIg4f90ISn/axM2zfl6/CkDPnKIiWvvcpsSuHl10SxXrvq7GjD uk42csWctubZhi5Vk6p2oZd+luSnHGqK87bYoB3yo1z5xU498ug/bSHzt6t4gXJ+5VE3a5wj ixikHRRlpYLsr8kX40JbbYbNTTEuj2kum7x2wUPevqizs43f9vQh5Fibxb7UsPojLvEp9l9f DO27iJfxifw6DIwL9ZsuMmc5d1wKiwrx1T+wkcSJOvog2pT3uW1KunwEXGSs3OUSr6N6rZC3 HkK8Lplt8560gT9+mth65VQDZ7S7eyV9pZQ2N6uvZS5CvoJcPcpSX573tdB5vXxcI+WSg3It jymn6sFDnWxz6pDTsl10v/pWC7ziaVvK+dojdX5d0c9pI/POnTsV5h9MxfOGyRvVB7ogfUEW dn///d+SbcjysoK2yjsVlG1oV87XlK/DUxyUZbqM+yi0q86ONqwzt6dZXwMuXsY5DOPxVvU/ IfSucpzv/HSpST+023SeOEcWfWlMKWvW1Hiw72zfFuPytKX5pcJcft62i9/XuzOeGFfz2MdY iON9FgzhRXfEK36GIfenLb/InGUMjcdbSYV58NU/5i7JeYy6fJx09YkySro8BDbiteL54I1w 8dpwHpVyR8RHpvhew6oQg5GBzM2FTXbh38WLv5ma7KBr81tmbrCCrl27ZlGawHhVNRMZN1hO do6v0mezZcImdqRc54YYrK9fv2t1YzrR9/N7GxobDFDRhMM773Tbi3omd/xFjosHzVK2OwDL 69I2rOv4Zy3Tlrp2mxjn+Enctfldh0XfsnljvK/8WfnyHeI89omVcwQ29MWQxQnzAel4vHVo UYucWQg75p2z2vTU+aev1pm2ySl1R4fARiwyuuDa3/9HejqAhQaDqO2sQZesoevZObDA0K58 J4c+yvjWisQkANXxypOne3t70zMhsY6jFnBhJ+pgpZ5tyhY98xN1LWv7nZ8WE0zK2OwZjDjJ tekGA9pypmBnZ3yI1bMHHt0dqmzINGHdwD5Y8abFOcD4jaHBQAqCVj3G57HPOYE5wvHcF0PO VDIXEEe05QDjzp353gs0xJwVumq6WedfnA/LAmMK1cpsrNzlEnemBo6p5SKX5+XzjIX1V678 PjVhJ8HkT5AaqPDYTrkxjfXKk9/UclPbz5Jnxwixo6ujnZ1P045TnexEmQRcLOW6ogx53PFS x0AUp4vVGRLynra3LacgaaNOyj1trb5YZzvr3DlbTkqdbeSzfpG8p05ZqDExkrI4cmFAXn/V F1M+dQ6enJ7OiTLq/Bx6m51dWOeyybfJy+vgFz/9kactzmkH2XaSe/uPDOuUZ97UclNb5/m8 PNbPGufoJgaJfyjKUk+ewpPbLE/evi3GbRPTvL15x5b52EZbKLO+id962zfZRzw3PS5PDBKv 6mjCMNqlvjzN7aE+L8vzylhkzlKGsuNcon+cfZXYjvMh5fjH7+nTw3NqnAuatpVb0mEQ+MUf KhpG1OJSGBgc1b958ybt+BhkOzufjZ49e1atrvdHH310cXTv3r1qAD1KeXaMly9fTrzXr1+v vlD5JLV98uTJtH5//2WSOTlS/TbtfPhM9suX+0kWO1h3UtGDWM/pxja7sMN6bIdmyXMvBDaz 4zh//vx0EaQ929vbo1OnkPnHiu9x8v/OnduJlza3bt1KfqPbHattWVBduHA+3U8Bbo8efVvh +feE2+nTp6u3+J1JiwcWYOfOnbNZ9WbD7YQRRzdg9+DBg2piu5T6Qt/ADmzQAab48Pjx40rH oxGyyWMPvyY8z5yZ2LC3d33qA0aoow+ely9/knx0kfbee+MkC5vwictlyKnrZ3RhK33IIurH H39IvsP/xRdfpJi6e/c/EtYxPuvsoh/bsEaXxARnnNbFNdhGDLjcRdmscY5v9B1xQp/GPsaW pn5xXMTx1xXn9HP0K+efNc7pD/qWy4hdcd7mS12MYWtTjOcYET/OQey4Jm0/TDZ9/fWfU2zZ l/jMGM4x395u5sdP2ysff5rswxbmwWvXrsJ2iIh54sm5oglD+hdb4Ze4B4sxxML6hx9+nI5p Yp25QxtpF20m74GbsrB93jmrbS5hDOPfrVt/mmI8sXkyH6JXH9gfgOfLly9TH9FvcS5o2taH ki6GwIsXL5KA8hXWxXAsrX9CwJ1ivLzCa4jZQXuEf1RgMbEwUbLD89PoHOl0Ee04KvLeivff /yAtTPq07ZJd6gsCQyLADpKxtYm0zLmEMe54btreREyPwye/wloWGceB/gbq5PTtzs6n0wUF RxNMhNytvmziEgmLAyZdjlYkFjkserCrUEFgUxDgDBdx7uWnTfFLP45zLtGGki6OgIuME3Hj 5+JwFQldCHD0EYnLLLwF9SiICZfTufGULadzOWK5WN1zUqggsEkIND2Ftik+HudcsikYrpIf 5UzGKvXGGtsyuV/hj9WOfivdHMaNkkd5pIV+Fho8mgux4OAeAE+NpsLyVxAoCKw8Asc9l6w8 QGtioGcyyiJjTTqsmFkQKAgUBAoCBYF1QcBFxso9wrouABY7CwIFgYJAQaAgUBBoR2BtFxnc GXwSKfc7z7dh0sbbVtcmc5a6WXV08XfVz2Jb4T1ZCJTYOVn9Xbw9PgRWapHBwOeJBJ4K4Ocr rSM8XK87d+6X6ZffIBT5Nm2bxzHBBHygPN/mbxvvUeDZpr/O7i7+rvo6mcsuI1a5K357+9fp 2fxl6yvy50PgKOJ9HsuIHeKaH9uFCgKbgsBKLTK4Se/WrckHzNiO71wQcJ4k4AfFpwms39R0 r/rmCjQeb1X/o+rtpYfzqbDhL+fl8VImW+go8PRtmePxVqWxnrAHu6Dc3rxFH3l5m2XmeVEU bxb85pv/TC8wevp08r2YZeossudD4CjifT7L3r7x17E5r5zSriCwSgis3COsPg0Q30SXA5Z/ SCivL/l2BDhaYiL75z//KzEuG0/7tM0qjt7YAbCj7qI+8rpkDFkPlp5+72P/kLqLrNkRWHa8 z27RZGFNHPF46kk6QzsPVqXNeiGwcouMdYKPHcuq7fD64Mf7K1ZtIuPNnIuSO3rkHHW/vHo1 eXR2UR/a2s8bb3m7PN+m87jr7NOj7s9F/K7Dt64s6uANtXt7e+lV8p6pi/VluyCwrgis1OWS eUHkNDtHwl4X5414kPd3cA+HlwjY9l4P28HHr2nHS92FC7+amqdcUiiXgy1N+tDPvRVNujj1 TntkkzbxTY2ZcYOjJe4baJINdt774QRPmTbxkqs2irzoifx8D0G/qMMWiDMr5EmbSLn0nf0n L+2wGRm7u1eqb0dcSLjl/SKWkb/OHuXGVFl5jNFfk/dzvE52qcO2+Gifoxd9xBJ4IpM8dpMX b3mUQd4+sSymTbapG/3YlefBlDrrc1xyu6LOum2xwZfYR+jGB37UxZhQDr5Th07IvLZRFmMA XvyGtFud8IEXPF0kL7ahU1nYob1sG6vIE+/oE2U5vvAqT/nYVNeXXBpmIcWZjKN8vww2FioI LBWBgxWk06fPHFQ7ikbLdnd3D+CBnj9/fnD27LmD+/fvp3x1RJnyN27cSPkPP9xO+ZSp/shD 8tnu4cOHiY/ynKpr7IdkkEf/J59cnuq/ffvOtBnb2IRt8GCvRF7bLTNFN3XYAsGrveSpi7Ly PDxNFHlzGyKe4CYmyNIX5dIvsd5yUtritxjCp73oxxfrLl36+BAO0T5kxXwuV5yULb8xo40x LsA02oZ8+LQnxwSZUleMRfxsE1Nl26/aLx7m9act3qJctrtsU7ft8vzVq9dSnFkPLvQNlNsl T11KnIi/7SiDIs7Yq5+5HOJF3dSRxx4ojwHqHGPUwwePRB5f6wj9US6yIlEXbY6Yibe+0Y5t bYm8ykRe9BnZD6t4LFQQ2GQEvvvuuwN+a38mgyNJjkC8GZSjAbY9WuKrfdR7pLFTvQUSul99 6yK2ow15ynNCJnXK9NQt13bVH7/wqU7q4OFIV2q7HoxcvvWhL/B6tGb7IdImGzgS46gzftCM 07h8nVHiKOtG9crwOgIfbBcf5HCEJvG1RuvG4y2LO9NcbrUTrm3jESAY8pnorv7llePa04QJ iuxj+4U2bBsPtcaEQmXH9lSLhzbYhHxTvMlj2mWbuuXP82CQl43HW4k9tysVNvwR817ysp0f mqsWHekME7ZCMSaiONrFvlUOPHkMgCUYKROe/CxS7hc8keri3fqm2BDvtvGujKbUOG2qL+UF gU1CYO3vyXBiiRMSk4vl7Og4ZTlZVLxK1z3pQCdAPqEtwetrqS2L6aTNp7Foqifqd1sbTA81 rMkwaWIr6Xi8dWhxUsM+eBETOYsaTiH7fQTyPMXjqWiwff367eehoxH4yeQ8NOVymxZecacy T/822W3/2a/wxRhrardoeV285TIXtY2+5TLWosTigNhFXuwH5PLhOi4XuCDg6SHjK9dL7NdR HgP2hf7Xtekqq4v3rjbqUz/8blvXJQOMmvzsalvqCwLrhsDaLzIYsBCD1sHOUazlpBz1MMFx BCGPHcXNVnmZdX1S9UT9TiDU9Z140MUZAuzc3/9Hsokd+507hz881semeXnYGbDAYGfBggv7 wQbcmo4+oy74wT4S/otRLO+7LX5xR/i0ely0Ly3av+jR/tjHMcb62rIMvkVtA98hjqyvXPl9 kkMMsQjMz/IQ05w5IL5jfPXFJI+tOMb6ysj56uI958nzdXhHW4zXvF3MwxPPhMS6sl0Q2DQE Vu5yiQOWU6xNFHdk7AzZETKBQbRne2fn7RmHixd/k3b2nJ6WaAfZjm0Gv0db5HNSb7z8oX7O lEhsY5M6KMcufrPsINWnXNK8zDwTd9eNbvKaKjfm3eF4toDJEIzsF9rkOxDlgHnOyxGsFPXE 7bp6yuBhUrd/ncDtx1xGzIt9W/9G/ritPab2sbLyGLNtxMi2pHm9fJbL25SP8SavaZdt8qGT n/GnDfRlvsNrsqMpxugXfsqMYwH9LEAgFvsseDCXtAAAAmVJREFU+uhTd9apIvtTTvQ7jy36 Ih9j2m0/mc/ET/uD8jze5Y1t47Z4Rx+bxjuynE+UIU7oBU/r1VvSgsDGIbBKN55UC4t0sxY3 SuU3S2knN0xxkxX13LQGPa1uxOSGMW6uIo03gFkPP3yRuOGLm++4WYu2yMOGOkIueknhq9OP HH7wqAt55NVDGttGXZEXHVGP29gABk35KM/tnDfiV4cn9npzGjbt7u4m+0n56ZvyYwr2tIcP LOpszXXm9uV5+xebkE8KhnVY0FZq6t9cfm6P7WOqDfiFf8YYOsQTf7kxMFKUTT1Eqv3IRZZ5 +CF0IJdUe6NviemnvybbqI4xhV7tRy559cGrnjpc4bMe3pz0CR79MYaoI+7RzS/HSFnYSht+ 2oktEnKx2zr8lrAPHdRrp37IQwof5XEM0kZb87Z1/OKNX/xory34QBnySLXZ8Y/t8EDYAU+h gsAmIuCNn+UrrD2WjRx9cBkhXjLgMTROt3rE3EPM0lk4a4BNhdYbgVWOt2XGGGfPqh1wOuNB D6KLsxrf9HhB2zr2OL5xNqZQQWATEShfYZ2hVzndy6leicmQ072rtMBgEVRe4mMPrXe6qvG2 7Bi7X11mjOOMxRaXSTaVygJjU3u2+BURWPsbP6Mzy9pmsovEDZq8NXOVqOlu/VWysdjSD4FV jbdlx5j3AYES9yqs2kK+X+8VroJAQSAiUC6XRDQatrmR7Msv/1hNelvppjHOGHjDWEOTUlwQ mBuBkxpvLCzwnZskWWD4oby5gSwNCwIFgWNDwMslZZFxbF1QFBcECgIFgYJAQWAzEXCR8f8B 6jEyjFJQOU0AAAAASUVORK5CYII= --------------5W6TKVBtXqqZmdRr4WzUqmwW 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://www.ntg.nl/mailman/listinfo/ntg-context webpage : https://www.pragma-ade.nl / http://context.aanhet.net archive : https://bitbucket.org/phg/context-mirror/commits/ wiki : https://contextgarden.net ___________________________________________________________________________________ --------------5W6TKVBtXqqZmdRr4WzUqmwW--