From mboxrd@z Thu Jan 1 00:00:00 1970 X-Msuck: nntp://news.gmane.io/gmane.comp.tex.context/81006 Path: news.gmane.org!not-for-mail From: "Meer, H. van der" Newsgroups: gmane.comp.tex.context Subject: [***SPAM***] float placement riddle Date: Fri, 1 Mar 2013 18:07:12 +0000 Message-ID: <13C87111-AEA0-49D1-B8A4-9F9262BFE930@uva.nl> Reply-To: mailing list for ConTeXt users NNTP-Posting-Host: plane.gmane.org Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="===============1036338529==" X-Trace: ger.gmane.org 1362161238 29508 80.91.229.3 (1 Mar 2013 18:07:18 GMT) X-Complaints-To: usenet@ger.gmane.org NNTP-Posting-Date: Fri, 1 Mar 2013 18:07:18 +0000 (UTC) To: ConTeXt NTG Original-X-From: ntg-context-bounces@ntg.nl Fri Mar 01 19:07:42 2013 Return-path: Envelope-to: gctc-ntg-context-518@m.gmane.org Original-Received: from balder.ntg.nl ([195.12.62.10]) by plane.gmane.org with esmtp (Exim 4.69) (envelope-from ) id 1UBUMu-0002O0-Ax for gctc-ntg-context-518@m.gmane.org; Fri, 01 Mar 2013 19:07:40 +0100 Original-Received: from localhost (localhost [127.0.0.1]) by balder.ntg.nl (Postfix) with ESMTP id F156910200; Fri, 1 Mar 2013 19:07:18 +0100 (CET) X-Virus-Scanned: Debian amavisd-new at balder.ntg.nl Original-Received: from balder.ntg.nl ([127.0.0.1]) by localhost (balder.ntg.nl [127.0.0.1]) (amavisd-new, port 10024) with LMTP id 0xlAWEhtsH8X; Fri, 1 Mar 2013 19:07:17 +0100 (CET) Original-Received: from balder.ntg.nl (localhost [IPv6:::1]) by balder.ntg.nl (Postfix) with ESMTP id 4D291101E6; Fri, 1 Mar 2013 19:07:17 +0100 (CET) Original-Received: from localhost (localhost [127.0.0.1]) by balder.ntg.nl (Postfix) with ESMTP id 17E01101E6 for ; Fri, 1 Mar 2013 19:07:16 +0100 (CET) X-Virus-Scanned: Debian amavisd-new at balder.ntg.nl Original-Received: from balder.ntg.nl ([127.0.0.1]) by localhost (balder.ntg.nl [127.0.0.1]) (amavisd-new, port 10024) with LMTP id 848v1IAvdNdS for ; Fri, 1 Mar 2013 19:07:14 +0100 (CET) Original-Received: from filter2-ams.mf.surf.net (filter2-ams.mf.surf.net [192.87.102.70]) by balder.ntg.nl (Postfix) with ESMTP id A5A60101E2 for ; Fri, 1 Mar 2013 19:07:14 +0100 (CET) Original-Received: from HUB02.uva.nl (hub02.uva.nl [146.50.108.231]) by filter2-ams.mf.surf.net (8.14.3/8.14.3/Debian-9.4) with ESMTP id r21I7Dqt008591 for ; Fri, 1 Mar 2013 19:07:13 +0100 Original-Received: from MBX02.uva.nl ([169.254.2.223]) by HUB02.uva.nl ([2002:9232:6ce7::9232:6ce7]) with mapi id 14.02.0342.003; Fri, 1 Mar 2013 19:07:13 +0100 Thread-Topic: float placement riddle Thread-Index: AQHOFqeZFrZcobyH1E+ThF5f74FtzA== Accept-Language: en-US Content-Language: en-US X-MS-Has-Attach: yes X-MS-TNEF-Correlator: x-originating-ip: [82.95.102.36] X-Bayes-Prob: 0.9959 (Score 4.7, tokens from: @@RPTN) X-CanIt-Geo: ip=146.50.108.231; country=NL; latitude=52.5000; longitude=5.7500; http://maps.google.com/maps?q=52.5000,5.7500&z=6 X-CanItPRO-Stream: uu:ntg-context@ntg.nl (inherits from uu:default, base:default) X-Canit-Stats-ID: 0QJ6i7doM - 8e2a595f858f - 20130301 X-Scanned-By: CanIt (www . roaringpenguin . com) on 192.87.102.70 X-BeenThere: ntg-context@ntg.nl X-Mailman-Version: 2.1.14 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-bounces@ntg.nl Xref: news.gmane.org gmane.comp.tex.context:81006 Archived-At: --===============1036338529== Content-Language: en-US Content-Type: multipart/related; boundary="_004_13C87111AEA049D1B8A49F9262BFE930uvanl_"; type="multipart/alternative" --_004_13C87111AEA049D1B8A49F9262BFE930uvanl_ Content-Type: multipart/alternative; boundary="_000_13C87111AEA049D1B8A49F9262BFE930uvanl_" --_000_13C87111AEA049D1B8A49F9262BFE930uvanl_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable Please can someone explain why the column before the floating figure is emp= ty? I thought that the figure would float through the text to the first locatio= n with sufficient space. That appears not te be the case: the input behind = the figure does not typeset before it although there is ample space for the= text that now follows the picture. The code is roughly: \setupcolumns[n=3D2] \startcolumns \placefigure[][figuur:zw]{Street.} {\externalfigure[zw][width=3D0.8\textwidth]} \par \stopcolumns How to get Hans van der Meer [cid:796264A3-FA21-43EB-894F-3C74D1E4D519@fritz.box] --_000_13C87111AEA049D1B8A49F9262BFE930uvanl_ Content-Type: text/html; charset="us-ascii" Content-ID: <539A5BFE04383E4E8975C7DD33E39D7E@uva.nl> Content-Transfer-Encoding: quoted-printable Please can someone explain why the column before the floating figure is emp= ty?

I thought that the figure would float through the text to the first lo= cation with sufficient space. That appears not te be the case: the input be= hind the figure does not typeset before it although there is ample space fo= r the text that now follows the picture.

The code is roughly:
\setupcolumns[n=3D2]
\startcolumns
<several paragraphs>
\placefigure[][figuur:zw]{Street.}
{\exte= rnalfigure[zw][width=3D0.8\textwidth]}
\par
<small paragraph following picture>
<several paragraphs extending to next page>
\stopcolumns

How to get 
Hans van der Meer


--_000_13C87111AEA049D1B8A49F9262BFE930uvanl_-- --_004_13C87111AEA049D1B8A49F9262BFE930uvanl_ Content-Type: image/jpg; name="layout.jpg" Content-Description: layout.jpg Content-Disposition: inline; filename="layout.jpg"; size=22238; creation-date="Fri, 01 Mar 2013 18:07:12 GMT"; modification-date="Fri, 01 Mar 2013 18:07:12 GMT" Content-ID: <796264A3-FA21-43EB-894F-3C74D1E4D519@fritz.box> Content-Transfer-Encoding: base64 /9j/4AAQSkZJRgABAgEASABIAAD/4QibRXhpZgAATU0AKgAAAAgADgEAAAMAAAABA2oAAAEBAAMA AAABAo8AAAECAAMAAAAEAAAAtgEDAAMAAAABAAUAAAEGAAMAAAABAAIAAAESAAMAAAABAAEAAAEV AAMAAAABAAQAAAEaAAUAAAABAAAAvgEbAAUAAAABAAAAxgEcAAMAAAABAAEAAAEoAAMAAAABAAIA AAExAAIAAAAnAAAAzgEyAAIAAAAUAAAA9YdpAAQAAAABAAABDAAAATgACAAIAAgACAAK/IAAACcQ AAr8gAAAJxBBZG9iZSBQaG90b3Nob3AgRWxlbWVudHMgOS4wIE1hY2ludG9zaAAyMDEzOjAzOjAx IDE4OjU4OjA0AAAAAAADoAEAAwAAAAH//wAAoAIABAAAAAEAAANqoAMABAAAAAEAAAKPAAAAAAAA AAYBAwADAAAAAQAGAAABGgAFAAAAAQAAAYYBGwAFAAAAAQAAAY4BKAADAAAAAQACAAACAQAEAAAA AQAAAZYCAgAEAAAAAQAABv0AAAAAAAAASAAAAAEAAABIAAAAAf/Y/+AAEEpGSUYAAQIAAEgASAAA /+0ADEFkb2JlX0NNAAH/7gAOQWRvYmUAZIAAAAAB/9sAhAAMCAgICQgMCQkMEQsKCxEVDwwMDxUY ExMVExMYEQwMDAwMDBEMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMAQ0LCw0ODRAODhAUDg4O FBQODg4OFBEMDAwMDBERDAwMDAwMEQwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAz/wAARCAB4 AKADASIAAhEBAxEB/90ABAAK/8QBPwAAAQUBAQEBAQEAAAAAAAAAAwABAgQFBgcICQoLAQABBQEB AQEBAQAAAAAAAAABAAIDBAUGBwgJCgsQAAEEAQMCBAIFBwYIBQMMMwEAAhEDBCESMQVBUWETInGB MgYUkaGxQiMkFVLBYjM0coLRQwclklPw4fFjczUWorKDJkSTVGRFwqN0NhfSVeJl8rOEw9N14/NG J5SkhbSVxNTk9KW1xdXl9VZmdoaWprbG1ub2N0dXZ3eHl6e3x9fn9xEAAgIBAgQEAwQFBgcHBgU1 AQACEQMhMRIEQVFhcSITBTKBkRShsUIjwVLR8DMkYuFygpJDUxVjczTxJQYWorKDByY1wtJEk1Sj F2RFVTZ0ZeLys4TD03Xj80aUpIW0lcTU5PSltcXV5fVWZnaGlqa2xtbm9ic3R1dnd4eXp7fH/9oA DAMBAAIRAxEAPwD0qp1dAZjU1NqpqiutjBta1rfYxrGNG1rWN+ixQdnuBcG1glpIjd4GOzD+b7k5 /n/7f8UB1vvdLKiNx/MMwCefd9JznJKSnqJAJNbf5MviY+l+Z+6keogaFrQdPz9P+pQmZLqw41ip k8ja4HT+0p/bciY9hJ49rtfvd7PaW/SSU2MbJF86AbQCYdu5nyb+6st3X7v2zmdNbjsLMNlTvVLz LjYA/bs2ezbu/fWni5FlxcHx7Q3gEamd30i7wXEdcyrMD643379tdgpDgHbZ9tbfTfp/JSU9UesW tY57qWBrGlx95OjRud+aue6l/jFswzkGnBryascT6guI3S3fpFNjf0bt7bff/wCo6PW/rCxxdiYz /TZZ7HbgBY8ka1hp+hXr7/8AC/8AFrmcoNtwcxpA4LnyTHFjv/OElPtDXbmh3EgH71McIdf82z+q PyIgSUukkkkpSSSSSlJJJJKUkkkkpSSSSSn/0PSD/P8A9v8AiqjgS9+hILnR95H0v5X5itn+f/t/ xQH2WguLbDAc4fSd4u+jr7va7/XYkpGQ4u1Do1jQwYG5INsc4MaC4mfI6N0iQ3/X+Qpm20v0e5/M bXu4+U/vJhbYAD6jpjUF57e72/1p9iSm1i12Vutc9hbIH7uu3d+6f3VQyem9Fy8p2Zbih2VY0E2v 1kAN/M9Vrf5pXcQui4OfvIb+cSY+k36Di7b9FAFrQ3SuonRoArOpnf8Avn6P0klNNnRehMY0V4jN rAACQXmAXOa71HX7vz3oV/1d+q+QwtysJr2Nn2tLmGXSPzMj89pWiLPCqngahkjTt9JO24sAf6VY e3XRpBGh/lH3e1JTdx7a7a5r0a07Y07DyLvzUYcIOPa61ji4gkOLRt8BHiXIw4SUukkkkpSSSSSl JJJJKUkkkkpSSSSSn//R9IP8/wD2/wCKEcXI9Uu2/nOdulusk6Ru/dRSD6/B+n4eatpKc37NkQCK oOoIBbwR/XRvsNhaB6gaBMCOJg6K4mSU16sY0stlwO8HgQBAd/5JU66rbGg1sfAmYIb2bp73NWoQ CCDwfDQof2Zn71n/AG4//wAkkppDHye9R1kQC2ASI3fSCX2fKE/o3E8TLO2kn3hXBjVjTfZr/wAI /wD8kl9mZEbrOIn1Hz/1SSlsSt1dRa9padxMEg6f2VYHCgysMEAuMmfc4uP3vlTCSl0kkklKSSSS UpJJJJSkkkklKSSSSU//0vU9UP0bdf0zxPGjdP8AooySSkApu0/Tv+5v/kVJtTxO6xz/AIwI/wAz aipJKYbPN33lLZ5u+8qaSSmGw+J+8qLqnn6NjmaeR18fcipJKRtY9vLy/nmO/wAB+app0klKSSSS UpJJJJSkkkklKSSSSUpJJJJT/9P1VJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSS SSUpJJJJT//U9VSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSU//1fVU kkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklP/9b1VJfKqSSn6qSXyqkk p+qkl8qpJKfqpJfKqSSn6qSXyqkkp+qkl8qpJKfqpJfKqSSn6qSXyqkkp+qkl8qpJKfqpJfKqSSn /9n/7QV6UGhvdG9zaG9wIDMuMAA4QklNBCUAAAAAABAAAAAAAAAAAAAAAAAAAAAAOEJJTQPtAAAA AAAQAEgAAAABAAIASAAAAAEAAjhCSU0EJgAAAAAADgAAAAAAAAAAAAA/gAAAOEJJTQQNAAAAAAAE AAAAHjhCSU0EGQAAAAAABAAAAB44QklNA/MAAAAAAAkAAAAAAAAAAAEAOEJJTScQAAAAAAAKAAEA AAAAAAAAAjhCSU0D9AAAAAAAEgA1AAAAAQAtAAAABgAAAAAAAThCSU0D9wAAAAAAHAAA//////// /////////////////////wPoAAA4QklNBAAAAAAAAAIAADhCSU0EAgAAAAAAAgAAOEJJTQQwAAAA AAABAQA4QklNBC0AAAAAAAYAAQAAAAM4QklNBAgAAAAAABAAAAABAAACQAAAAkAAAAAAOEJJTQQe AAAAAAAEAAAAADhCSU0EGgAAAAADTwAAAAYAAAAAAAAAAAAAAo8AAANqAAAADQBVAG4AdABpAHQA bABlAGQALgB0AGkAZgBmAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAANqAAACjwAA AAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAABAAAAABAAAAAAAAbnVsbAAAAAIAAAAG Ym91bmRzT2JqYwAAAAEAAAAAAABSY3QxAAAABAAAAABUb3AgbG9uZwAAAAAAAAAATGVmdGxvbmcA AAAAAAAAAEJ0b21sb25nAAACjwAAAABSZ2h0bG9uZwAAA2oAAAAGc2xpY2VzVmxMcwAAAAFPYmpj AAAAAQAAAAAABXNsaWNlAAAAEgAAAAdzbGljZUlEbG9uZwAAAAAAAAAHZ3JvdXBJRGxvbmcAAAAA AAAABm9yaWdpbmVudW0AAAAMRVNsaWNlT3JpZ2luAAAADWF1dG9HZW5lcmF0ZWQAAAAAVHlwZWVu dW0AAAAKRVNsaWNlVHlwZQAAAABJbWcgAAAABmJvdW5kc09iamMAAAABAAAAAAAAUmN0MQAAAAQA AAAAVG9wIGxvbmcAAAAAAAAAAExlZnRsb25nAAAAAAAAAABCdG9tbG9uZwAAAo8AAAAAUmdodGxv bmcAAANqAAAAA3VybFRFWFQAAAABAAAAAAAAbnVsbFRFWFQAAAABAAAAAAAATXNnZVRFWFQAAAAB AAAAAAAGYWx0VGFnVEVYVAAAAAEAAAAAAA5jZWxsVGV4dElzSFRNTGJvb2wBAAAACGNlbGxUZXh0 VEVYVAAAAAEAAAAAAAlob3J6QWxpZ25lbnVtAAAAD0VTbGljZUhvcnpBbGlnbgAAAAdkZWZhdWx0 AAAACXZlcnRBbGlnbmVudW0AAAAPRVNsaWNlVmVydEFsaWduAAAAB2RlZmF1bHQAAAALYmdDb2xv clR5cGVlbnVtAAAAEUVTbGljZUJHQ29sb3JUeXBlAAAAAE5vbmUAAAAJdG9wT3V0c2V0bG9uZwAA AAAAAAAKbGVmdE91dHNldGxvbmcAAAAAAAAADGJvdHRvbU91dHNldGxvbmcAAAAAAAAAC3JpZ2h0 T3V0c2V0bG9uZwAAAAAAOEJJTQQoAAAAAAAMAAAAAj/wAAAAAAAAOEJJTQQUAAAAAAAEAAAAAzhC SU0EIQAAAAAAeQAAAAEBAAAAGABBAGQAbwBiAGUAIABQAGgAbwB0AG8AcwBoAG8AcAAgAEUAbABl AG0AZQBuAHQAcwAAABwAQQBkAG8AYgBlACAAUABoAG8AdABvAHMAaABvAHAAIABFAGwAZQBtAGUA bgB0AHMAIAA5AC4AMAAAAAEAOEJJTQQGAAAAAAAH//4AAAABAQD/4RKPaHR0cDovL25zLmFkb2Jl LmNvbS94YXAvMS4wLwA8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pO VGN6a2M5ZCI/PiA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJB ZG9iZSBYTVAgQ29yZSA1LjAtYzA2MCA2MS4xMzQ3NzcsIDIwMTAvMDIvMjQtMTc6NDM6NTggICAg ICAgICI+IDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1y ZGYtc3ludGF4LW5zIyI+IDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiIHhtbG5zOnRpZmY9 Imh0dHA6Ly9ucy5hZG9iZS5jb20vdGlmZi8xLjAvIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9i ZS5jb20veGFwLzEuMC8iIHhtbG5zOmRjPSJodHRwOi8vcHVybC5vcmcvZGMvZWxlbWVudHMvMS4x LyIgeG1sbnM6cGhvdG9zaG9wPSJodHRwOi8vbnMuYWRvYmUuY29tL3Bob3Rvc2hvcC8xLjAvIiB4 bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIgeG1sbnM6c3RFdnQ9 Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZUV2ZW50IyIgeG1sbnM6 ZXhpZj0iaHR0cDovL25zLmFkb2JlLmNvbS9leGlmLzEuMC8iIHRpZmY6SW1hZ2VXaWR0aD0iODc0 IiB0aWZmOkltYWdlTGVuZ3RoPSI2NTUiIHRpZmY6Q29tcHJlc3Npb249IjUiIHRpZmY6UGhvdG9t ZXRyaWNJbnRlcnByZXRhdGlvbj0iMiIgdGlmZjpPcmllbnRhdGlvbj0iMSIgdGlmZjpTYW1wbGVz UGVyUGl4ZWw9IjQiIHRpZmY6UGxhbmFyQ29uZmlndXJhdGlvbj0iMSIgdGlmZjpYUmVzb2x1dGlv bj0iNzIwMDAwLzEwMDAwIiB0aWZmOllSZXNvbHV0aW9uPSI3MjAwMDAvMTAwMDAiIHRpZmY6UmVz b2x1dGlvblVuaXQ9IjIiIHRpZmY6TmF0aXZlRGlnZXN0PSIyNTYsMjU3LDI1OCwyNTksMjYyLDI3 NCwyNzcsMjg0LDUzMCw1MzEsMjgyLDI4MywyOTYsMzAxLDMxOCwzMTksNTI5LDUzMiwzMDYsMjcw LDI3MSwyNzIsMzA1LDMxNSwzMzQzMjs4RTlFQzg4ODQ3MDM3NDZBNTdBRkE1NzEzMjlCQkM1OSIg eG1wOkNyZWF0ZURhdGU9IjIwMTMtMDMtMDFUMTc6NTI6MDUrMDE6MDAiIHhtcDpNb2RpZnlEYXRl PSIyMDEzLTAzLTAxVDE4OjU4OjA0KzAxOjAwIiB4bXA6TWV0YWRhdGFEYXRlPSIyMDEzLTAzLTAx VDE4OjU4OjA0KzAxOjAwIiBkYzpmb3JtYXQ9ImltYWdlL2pwZWciIHBob3Rvc2hvcDpDb2xvck1v ZGU9IjEiIHBob3Rvc2hvcDpJQ0NQcm9maWxlPSJHcmF5IEdhbW1hIDIuMiIgeG1wTU06SW5zdGFu Y2VJRD0ieG1wLmlpZDoxN0M1MjM1MDBGMjA2ODExOEE2RDlDMDFDNTNFM0M5QiIgeG1wTU06RG9j dW1lbnRJRD0ieG1wLmRpZDoxNkM1MjM1MDBGMjA2ODExOEE2RDlDMDFDNTNFM0M5QiIgeG1wTU06 T3JpZ2luYWxEb2N1bWVudElEPSJ4bXAuZGlkOjE2QzUyMzUwMEYyMDY4MTE4QTZEOUMwMUM1M0Uz QzlCIiBleGlmOlBpeGVsWERpbWVuc2lvbj0iODc0IiBleGlmOlBpeGVsWURpbWVuc2lvbj0iNjU1 IiBleGlmOkNvbG9yU3BhY2U9IjY1NTM1IiBleGlmOk5hdGl2ZURpZ2VzdD0iMzY4NjQsNDA5NjAs NDA5NjEsMzcxMjEsMzcxMjIsNDA5NjIsNDA5NjMsMzc1MTAsNDA5NjQsMzY4NjcsMzY4NjgsMzM0 MzQsMzM0MzcsMzQ4NTAsMzQ4NTIsMzQ4NTUsMzQ4NTYsMzczNzcsMzczNzgsMzczNzksMzczODAs MzczODEsMzczODIsMzczODMsMzczODQsMzczODUsMzczODYsMzczOTYsNDE0ODMsNDE0ODQsNDE0 ODYsNDE0ODcsNDE0ODgsNDE0OTIsNDE0OTMsNDE0OTUsNDE3MjgsNDE3MjksNDE3MzAsNDE5ODUs NDE5ODYsNDE5ODcsNDE5ODgsNDE5ODksNDE5OTAsNDE5OTEsNDE5OTIsNDE5OTMsNDE5OTQsNDE5 OTUsNDE5OTYsNDIwMTYsMCwyLDQsNSw2LDcsOCw5LDEwLDExLDEyLDEzLDE0LDE1LDE2LDE3LDE4 LDIwLDIyLDIzLDI0LDI1LDI2LDI3LDI4LDMwO0I2RTFCQ0NDNDhEMUIzQ0ExRUYyNEQ3RTkxMkQz NzQ0Ij4gPHRpZmY6Qml0c1BlclNhbXBsZT4gPHJkZjpTZXE+IDxyZGY6bGk+ODwvcmRmOmxpPiA8 cmRmOmxpPjg8L3JkZjpsaT4gPHJkZjpsaT44PC9yZGY6bGk+IDxyZGY6bGk+ODwvcmRmOmxpPiA8 L3JkZjpTZXE+IDwvdGlmZjpCaXRzUGVyU2FtcGxlPiA8eG1wTU06SGlzdG9yeT4gPHJkZjpTZXE+ IDxyZGY6bGkgc3RFdnQ6YWN0aW9uPSJjcmVhdGVkIiBzdEV2dDppbnN0YW5jZUlEPSJ4bXAuaWlk OjE2QzUyMzUwMEYyMDY4MTE4QTZEOUMwMUM1M0UzQzlCIiBzdEV2dDp3aGVuPSIyMDEzLTAzLTAx VDE3OjUyOjA1KzAxOjAwIiBzdEV2dDpzb2Z0d2FyZUFnZW50PSJBZG9iZSBQaG90b3Nob3AgRWxl bWVudHMgOS4wIE1hY2ludG9zaCIvPiA8cmRmOmxpIHN0RXZ0OmFjdGlvbj0iY29udmVydGVkIiBz dEV2dDpwYXJhbWV0ZXJzPSJmcm9tIGltYWdlL3RpZmYgdG8gaW1hZ2UvanBlZyIvPiA8cmRmOmxp IHN0RXZ0OmFjdGlvbj0ic2F2ZWQiIHN0RXZ0Omluc3RhbmNlSUQ9InhtcC5paWQ6MTdDNTIzNTAw RjIwNjgxMThBNkQ5QzAxQzUzRTNDOUIiIHN0RXZ0OndoZW49IjIwMTMtMDMtMDFUMTg6NTg6MDQr MDE6MDAiIHN0RXZ0OnNvZnR3YXJlQWdlbnQ9IkFkb2JlIFBob3Rvc2hvcCBFbGVtZW50cyA5LjAg TWFjaW50b3NoIiBzdEV2dDpjaGFuZ2VkPSIvIi8+IDwvcmRmOlNlcT4gPC94bXBNTTpIaXN0b3J5 PiA8L3JkZjpEZXNjcmlwdGlvbj4gPC9yZGY6UkRGPiA8L3g6eG1wbWV0YT4gICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICA8P3hwYWNrZXQgZW5kPSJ3 Ij8+/+IBwElDQ19QUk9GSUxFAAEBAAABsEFEQkUCEAAAbW50ckdSQVlYWVogB88ABgADAAAAAAAA YWNzcE1TRlQAAAAAbm9uZQAAAAAAAAAAAAAAAAAAAAEAAPbWAAEAAAAA0y1BREJFAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFY3BydAAAAMAAAABMZGVzYwAA AQwAAABpd3RwdAAAAXgAAAAUYmtwdAAAAYwAAAAUa1RSQwAAAaAAAAAOdGV4dAAAAABDb3B5cmln aHQgKGMpIDE5OTkgQWRvYmUgU3lzdGVtcyBJbmNvcnBvcmF0ZWQuIEFsbCBSaWdodHMgUmVzZXJ2 ZWQuAGRlc2MAAAAAAAAAD0dyYXkgR2FtbWEgMi4yAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFhZ WiAAAAAAAADzVAABAAAAARbPWFlaIAAAAAAAAAAAAAAAAAAAAABjdXJ2AAAAAAAAAAECMwAA/+4A DkFkb2JlAGSAAAAAAP/bAEMAFBERGhIaKRgYKTMnICczJxwcHBwnIhcXFxcXIhEMDAwMDAwRDAwM DAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDP/AAAsIAo8DagEBEQD/3QAEAG7/xACSAAADAQEBAQEB AQEBAAAAAAABAAIDBAUGBwgJCgsQAAICAQMCAwQHBgMDBgIBNQEAAhEDIRIxBEFRIhNhcTKBkbFC oQXRwRTwUiNyM2LhgvFDNJKishXSUyRzwmMGg5Pi8qNEVGQlNUUWJnQ2VWWzhMPTdePzRpSkhbSV xNTk9KW1xdXl9VZmdoaWprbG1ub2/9oACAEBAAA/APsVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVW lVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//Q+xVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVaVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf/9H631PYvqexfU9i+p7GwbFsyywhoSLU ZYEEiQoc6oOfGOZD6VlnhE0TrygdRjl3qvHypOfHtMhIEDnb5l9fHV7goz4zXmGvtWGWOTWJ0HdB 6jGI7iaHtX9ox87hzTQywJrcLPa0jJE3RGnLMc+OVURrwk5YA1YtfVhdbhd1ygZoEkWLB2/6kjLA 8SGntUZYE0JC/C21VXyOo/Go4Mksewkx0+JqH4uJ15Kv/F/8Td/24jQx/wCd/wDE2h1njGv9X/nC nrQOR96T1hGu0f8AK/8AiaB1t/ZH/K/84T+2H+Ef8r/4mj9sP8P/ADv/AImj9u/w/wDO/wDOGMn4 j6cdxj/zv/ibzD8diSBsPm483/xNnL+PQxcwJ/1f+cLH8fjI7RiN/wBXws5P/LixwO3YT7pPs4Mw 6jHHLHiQ3B0VVVpVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9L6lVV2hwHnzDDKRE5V LS9f3xogMGyVHyg6mz8V/wAtAx9MKAPgBUj+/wDdakenFbiLiKGv8Dns6Xixp/iLUI9PMSgODzZ+ LZ/N/wDNaNvS82NP8Uv/ABbJh0oF3Y4+KXi7RyYIChIVqfi3fE5bem1Is7dtyuX2v5WL/wA1ej/5 jRKHSAHUEVqN38P810EcAqfGpOpl8Uf5uX/0IpGCIlPxBjPX+L+csIYIn1Adbq9x+L+4yTglI+ai DvOvxfBk/wDgbWzBOe7kjz3u8vlROPTSNyOpP8UviagOnjEwidJDUG1AwQIloNw3a/D53qVVfjfx A/z8h/x1/wA106aJlQBskAh9kacoIldgikCMjzTW2dDUIOMkdmhE1rXySA88s8N+xnqyBjIL4Msk gIz8Go4zmO/gd5uebMIj08Wg7n7c3lEdBL2v3f4X/wAJi/pD2Kqq0qqqqqqqqqqqqqqqqqqqqqqq qqqqqqqqqqqqqqqqq//T+pVVdocBwyHDulvGvB+L7f8A4tgT6aNjizul8SDHptJg1tPbd+/75G76 fJKhrIntu+1/8ac4R6cmXJJ3Hzfa/wB//LaE+n0PFjSXm/3jnAdMBtsij/i3cusY9PkIjHX+H4v8 f/xVH/gwvtV38cf/ACnkaBwXKvfP4vsS/wDgzEB08qiBRP2fN9r/AONOm7DI7KvUn/V/M9T/AN+u f/gojXY+b7aTLpxeIigCJf4PMzfTEjQ/1efw/wDgbUZdOCQNNKPPwzRu6U6k/wDTbA6cEyHMeT5v /FIOTp5UO4oR+J61VX4nr/8AicntmXr6X48fhQfWtIKkAnugRHiU1SQVJfIymHqykfF067MKEL/x H+L/AMpviyiJws/ZLtqYjGOA5VWo52yLz18PuL91+F/8Ji/pD2qqq0qqqqqqqqqqqqqqqqqqqqqq qqqqqqqqqqqqqqqqqq//1PqVVXaHAcchwCfnrd3Ljt6cfzACQCIfa+06A9NI7BRs/v8A+7FjPp4n y0CD4H4mfU6fGdBWhNgfZTKPTQO0gAjtX/mRAn00a21yOP8A0G1D9nlIRhV/Zq/suh6bEeYhMenx xsCIF8rHp8cDcYgFR0+OJBiKrwU9PiOu0KenxS1MQVPT4z9kaL+z4v4Qo6fEPshR0+MaCI1UdPjj xEOqqr8R14/8KyeBkXq6eYjLGSe3/kpvsCi1SNtKFVzyyEYknwfFMhI6vHsJMtyJTobYdtbeiEfK L1/89m4TO0V/h2/855buh4P3f4X/AMJi/pD2qqq0qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq qqqq/wD/1fqVVXaHAZlgxzNyiCSvowqq0/7KB0+OJBERpwv7Ni/hC/s+I/ZCz6fHOQlIahT0+I6G I/8APVHT4wb2jR1VVVVVVVVVX4n8R16nJ/UgyoY/6f8AyU3vwZjEV9z6GHJvjftdlLN055c8MNGZ oHu8XV9XE4yIWbeGIFEHw/6P8x5NZk34xRtAFez/AMk9HERZeecbug5bRp7iX7j8L/4TF/SHsVVV pVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//W+pVVdocBxydVHHMwkDprf+H9/W/80s/t sAaIIHi1DqoznsoiV7f3/wDNbI67HWtg+FNw6kS3WCBGzf8Ahio6rGYmWtRq9P4kHq4RiJS0vdX+ hYdVDJIRjZs1/wA31UDrMZqr19iR1UNokbAJ2oHWYyaF8A8fxr+24j4/8n+JodVAi9avbx9pYdVj yHbG7/f/AOBsDrsVWbBq6bl1UABLXU7R/wAr0vUYPXYq01NaB0n1EIUJcy+FgdZjPFm/Z7fTelVV +J6//icn9YcZ6jH7R/5J7ccBoBV0+n0nw/N6mS4Zc8cNb3zup6o5/LEaA93mmNrMdQb4JcoSs34k LuArxdojcNdHOdAf6f8AyTiTe3+mT9p+Gf8ACYv6Q9iqqtKqqqqqqqqqqqqqqqqqqqqqqqqqqqqq qqqqqqqqqqv/1/qVVXaHAccnU44SMZAkjnT/AA+p/wC6nAdVhMbEBffQePoOh6jFCMZiPxHTQQ/f +6yOqwHiP/Nj9r+W1+0YjDeANt7ZXt+1H12f2vDR8uh/wx839v8A+CtZM+HGdko8a/DHy7lh1GIy AjHWwOI+Xcu7CZnHt8xO06fwsDNiybYGHB/WGBuObEcmwRF35dB++NiWXCCZRhchpxt+GSf2vEAd sfb2/wADI6rDE/CBpegH+D/4O6Ty4YECUORu+D7LJ6rD8O3QeyKYZsE7AiNAZS8sfsoj1mECgNPc PtfzUyzYseT09o+UY/E9iqr8X+JbY9RMgH4rP9W55ZE/y7+X/KewagCuw7vV02cx45fUErALlnyi ETXJ4fLyE5JbeSP4nnNDhE5mfOlCmPc4wHikyAGmmlu4J2g1z+TlK5aaAVt/jcjGqu37X8M/4TF/ SHsVVVpVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9D6lVV2hwHny9TjhPZIWfd/R/8A BmsefHlltiNfcPL8DEurxjtoL8PspOTDEDJt+K9dv8H/AMa/9BIPV4hyCB/T/hUdXj3bJRo3Q0Ek ftuI60SdO38X9t0n1OLHRI5AkKH8Sx6iEo+oBwRHt9r/AOOsyz4tgykaE+XT7X/eI/bMXgbJ8PtN Y+ox5ZCIGp11DP7Vj42m/Ch+/wDu2T1eGA8o/wAUtPb6bf7ZjHY+HH/mL/3Y3iy48tiI1HiHnx9X hP8AMMal30dP2vCORXI1j/Cj9twnXnjs9iqr8r1tHKbFkznG/tfbfPMIzA18o8fLt3NxyiEhrw9O Iitw9ursMxOgJv3uE8hJrwDnA7Z0Rrru+hzJAYM4y0BH2kwiK1PfRxH8NdwUe/wemIuMT7WZDzyB Olj/AKTPUSBHzfr/AMM/4TF/SHsVVVpVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9H6 lVV2hwHmy9TCGTYY39H/AJT/APgqZ9TDFKQMeO42/wDlL/4OyOoxTiZ7dI/0/a/lL+3Y46EV7Pmw euxiqj7/AIf4XSfUwxkXHQgS+z/j/wDgbP7TEkbYaa3u2x748X/v1ZdZCE5QnH4TtC/tkY1caidf s/8AlHJj/wDd6/tuPUGOg937/wDxP+azLqsM9JQuv6fsug6mBBlAax2+H2yz+3Yea/6LRy4ozFw8 xA/h8u5iPWQI1hr3rb/gdD1MIxE9ukr/AIfspn1EMZrae3Yf7xj9rxnmPPm12/Cz+24f4fui9yqr 8p1RvN/5kn/78eEDyfIf9FzyAyrb4W748uyO0eD0ACA+ThkJJNc04ykYnTl55/FtvR1xxluFjkO2 3XUOIjXIPIYIl/C9FVCN+I/8guQ+Y/v9p583B/qftfwv/hMX9IexVVWlVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVX/9L6lVV2hwHnydXGEzj22RX/ADmYdcJ6iJI/z9NOPqY3sECLJ/5TMetv 7Op4/pTLrBCZiY6A1/00w6zfqIGlj1kZAnaQADL/AJKB1wP2D9yT1kYxEzE67v8ATsZPXAC9pHIH /Ja/awYmQifLtP8Ayv3/APNi/tgutp5/f9/+7WfViJIrg19+P/4In9pMse+EbIO0w/qZPWiOkom6 B/5anraGsD4/d6n7/wDmRo9WBEHadRI1/QmfVbNNp4Er+y5R62yAY/R/F/8AAnuVVfkepJ9U/wDj J/8Avx5AfLtHNAf816IdODACR7Dy/wCJ0MMcok6E1o8mbMMUjDs9uIRnjiaHFFwx4ayz3fDzw6Hp 4cswwCBsEtTjbnslu3eKyEtNO7z5zIAHbfmePLkO+R9rrmNxB7l+1/C/+Exf0h7FVVaVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf/9P6lVV2hwHnydSMUyDGzXxD+lg9bGHl20fDTamHXbgP KbIH/OSOs36RjrVjcs+rOORiY2Aa0/pxf/Bky6vZESMTru0/oKM3WCEjAxJr8knqtsQRHS9tf6PX YPXAkgxNV/5L0/3/APMiT1w4Ao3Wv9XppzdWcciBGxp5v9KjrQTW0/uWR1oJAlGzbf7YNm/aedv/ ADfVZHXbqqPPtazdUccgALiRE7v6pIh1wmRERNlEuuAmY0aBMfvxt5OrEJGNcGv+b6j0qqucsOOR sxiT7YhH7PiH2I/8mLM4YcesoxF/4VrB/g/5rJw9PPUwgbG69sZeWLUIYZ6RjHT/AAoA6c9o/MBf /B+fJ/zVrpz/AAf81JHTjUiGv9KNvTjtD6Iqf2cUSIUfZFMYYMnwxiflFT0mA6nHDX/BFT0mA844 f8iLtGIiKiKA4ASqqrSqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqr/AP/U+pVVdocBwydU cczHaSB4OY6qU6Bx2b0/+J+T98i/txHMCfdu/wCw1+1y2mW080B8kHriDQgTrX7+RrJ1UoT2iJI/ +N/+gkT6zbOUBEnb7UDrZfwH9/8A32g9bLXyHvX7+m6DqJyhvEToQDH7X7/++kDqpXRgdOT/AKvS /f8A8pIPWEcwP/nMd/8Ag/8AKf8A7rWXWSjpsPJC5Or2y2bbNAnX+JzHXA6iBNXVf+eOo6syBO0i jH/nS9Nr9puAmAbJETH+FGPqjOQiYkX3/f8A81uceqlMAShrpf8AB9h7VVVVmeOM/iFuQ6TCBW0O hxxPI7bf9KYwjG6FWwemxEUYjil/Z8X8IR+zYv4QkdPjAA28aBH7Li7Ro+IT6GOgNoocJhhhA3EA F0VVVVVpVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV/9X6lVV2hwHHJnnCRiIEjx/f/wA1 MjPk9My2ncDW2vjjuQeqyA/Af+f/APA0DqspH9s3p/F/8DdMmeUQKidRuPxeVGLqJzu48C4/42P2 nID/AGz/AM7zf+glh1OUkAwPPxVL4d3/AMCaydRkhKQ2mQvy0Jf+U2sWeeS7gQAO97pMDqcpr+X/ ANL/AOBtxzTlCUjGiKqJtg9TkuvTP/O/+BrlzZIiMox1lE3ofLPyMnqcoB24yC65M847dsSb80tJ f+akDNkljlIRqQ27Y1JcXUSnuuOoG7b9pn9qy/8Adn/neH/i3rVxn1EMZqV0Dt3f4q9Vr1o3GuJc H+lj9rx3z2vj9/3yI/a8V0TpXP7/AL5HQZ4yG6OosR4/iYj1MZ3QOl/83Zk/9+pPU44gbztJG6pI l1eMA8kjtRaPUQjESN0brT+FEuohHU977fw/y0HqYCZgbsa/8pR1WM9+eNP3/wC7R+1475NVd0f8 H/wVodTjkCQdBzpJH7Xi/ia/aIUJXoeNP4WP2vFVk18knqsYBIN1ztH/AJjSOpxE0JOyqrSqqqqq qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqr/AP/W+pVVdocB559RkGQ44RsCtdUDNnr4L+n4vJ+/ /mFfXzHUY9F9XMIxO2yd27Q/xfy0wz5ZSAMCI3yg58w/3fetGpZMphExjUr80f8ATNEMmaQ80a0l /wAv/d/+U3P184OsaBoce10GXNGFmO6Qrt/h/wDg/wDLR6+YfYv6UHqMw09O/pU58sBOUo8AbRXx S3KOozEXsv8A2twzZTICUKB558vxvSqqqvLmlhJMZjzGhx5v3/8AijUJwnRhGwPLxt2sRl05ltER d7fhRLJ00SQYjSwfL/5jbhkxTuEBoPP/AId0USnijGJMfi7f1GGHL/77U9TgnV6/6Wd2Aw3CI22I nRTm6eQ1FgA15fs/3MqZHDEiE43ppuG7+4nIcMZEZIgGr4+KMWfVwD4ogEf6tu7/AMWg5OmP2b0H 2f8AzF/8TWGbp43oBfl+H4o/vjaGTBMEgfCNx8v/AJl/+KIlm6cgCQ0F0NvwsmXT2ZCNyiPhrb5f 7rXq9Pfw6n/Asc3TwI2jjvGP8X/xN7FVWlVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX// 1/qVVXaHAaVVVVVVVVVVVVVXmzdRigdsxZ937/8Aes/tWPFLZVDTbtHxbkyz4YATkKJMq0G7yMDq MMvihrf8Im16+GERIChIbvhHw/7xHr4pQJjGxDbQofbl6f8AKc/W6WJ3AC/d/wCZHaWXDGomNXUq 2x+1/bcx1OAnbtFVp5Q2c+KYMzHUbb3Abv5n9pMuqxiIyVqfL/iQcmERjIQG2Rr4WZdVhNeWx30H l/3qPV6eQoQ0P+Efa9T/AOBZFh1GCEaEfLXgPh/l/wD1ymMsGWXkhZF8D+j/AOCvRGEJCzEDxFBo YoDiIHfhTigeYj6G1VWlVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX/9D6lVV2hwHnySzR mdouN/8AkUieaUJXHbL7FeZceTNKQ3xqPf8A5P8A8EZnk6jUCHjR/f8A82f+gmzPLsidvmPxD+H/ AJ648s5QJrzDhGGeYgiYogeUn7UnPJmzxF7ONdP6f3/81rHP1BoiGjpgnmMqyRqPj/77Y9bqB9i/ 3/8AGL63Ufwafv8A+VFnLOIx2i5GPn/8Z5P/AIogZc5NCPjen/mp1yTyxA2xs1ctPtLvymEZQAJN 3fl/8Ux6nUc7R9H9H/lT/wAYzkydTZ2x7S4/i/3P7/8AoNo5eo/g/ev6/wDvP5b1qzLHGfxAFJjE 8gKYxPICNkeKH0J2iqoUjZHwH0L6cfAfQkxB5ARsj4D6E7Y8UF2R4ofQjZHwGn/kl2R5ofQuyPgP oXZHwH0JEQOAAlVVVVpVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9H6lVV2hwHDLLOJ H04gjt+/qLjlmle8UKO3j/4I5wPUiIBGvc+X9/3ytCXU8UP3/wDMjAl1Q0EfHWW3x/8AGus5Z9go eazu4+H/AJbO7qQPhB4bxSzGzMVQ8o0+L/zYjHLMZVMdr/w/Y/8Afi4p5zMCYofa/wCf/j/fGpOY QO0XLd5d1fAiEuoMhuA23r+/qJl627T4d3+H+3/L/wDi64vWvz8bfZ8f/wAd9Rnf1IA8oJ7/AAtR OcwJkPN5aHl/8zOXq9Te0xF1zXl/92NE9QRVUb0Ma/i/8Z/3TeOXUEjcAB+/+N6VefJ1IhMwoGgO /wDEwetjGW2QOojtr/Gn9tjztNf6f/Kv+P8A9N8inrsY7FsdQJDcBpcY6/8AlT0/5n/oZgdWNm8i he3/AJvqrHrYTkIjuaWXVgVY0JkLv+D1P/gSx6uwSRVV3/o/+CIPWAxEojm/iO34Y+v/AOVGodXC chEAi/Fzj18NNwqwP+j6rpHrYTBkAaG3w+2iPWwlQAP2fD7ZbPUxiSJeJ/5qP2uHgfBqPUCV0DoN 2rH7XADUFZdXEGqPtelVVpVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//0vqVVXaHAcsg zbvIRt0/q/f/AOCLhGXnIdeK+z/43/304xh1IFX2/wCdt/8Agreb9oJIhW2udN+5H/hNdvu/i/8A gLp/N9T/AAf+c/8AwVx2dQI1eo4N/wDu79/SUjqjEjT2V8X7/wDvtP8A4Vfav9KyHUkdgb+ztRId UfDv8LeL1rkZjykeXXzf/E2dvURHl1NAeY/v+/8A3rpP1iQYaCvNE0wR1BgON4Ps+HZ/8HX/AMJv t/zf8H/xRsevtF1us7mcf7Rrvrg1/X/umf8Awr2f83w/+CPYrz5cm0kSjYr/AJsv/ii+uOBH2D4f H0kftMasROgv9/8AzYmPUCZqMdUZs5xRBoEk7ZBiXUxMPU2i7qP+qHrJPVAR3iI0IH/N9VR1kTxE ntwx+2i/hoEDn/W3HqwccZmJ1/hHwyQesiD8Bv5f+LX9rqAmY96P/mv9oZj1eK/LDU6dv4nSfVRh Ix2nQ12/f/xf/eukswiZ2L27f+e4R60G/Lwf/I+qo62MrEoHmv8AT/5V/f8Amupz1GMgB5gZUXL9 p2xsQH2ZEf17/wD4E9qqrSqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqr//0/qVVXaHAccn rbvJW3T/AOKOcf2mgDQ9uku//wAC/wDQjp/N9PzfHuHwfw7lxDKJ3P4Tu7/D5nL/AMJEpCPF2N39 U/8A336bpA5xIb9Yn3eXzf8AwJZ/tG47a2/ZSfW2CvjBN/0/zP8A4m5CXVEkUBXsSP2r2f8ANRXU 2D4dvLtTfVeA/wCb+/8A4pYQ6iVRmajXmI+L4f8A4I6ZRlOww4B843fZZj+0EjdQGnG3/wAzLl/a N5OP4e3H/lP/AOKoB6k2TQ8B5WsZzyhIyoS+x+//AHax9fd5iK1elXCWcxybNuhI8zEuqMbG2yDI f8lj9sNk7D7P9L0Y8k8lGqi8w68yFwj4f9JodWRxjI5kf3/7z/323DqjISO0+UXX8SYdSZbvKRtG 7+pyPWg6GBP+3+h0n1MhjjMR1keFPUkYxPadTW1kdYT9g/v+/wDKZj1sjfkPs/f/AN2uubP6Z1gT VUf6kDqicZntIINV/UuPqTKBmYm41oxLrSDQgbB1/wDiTpDqDKMpbT5e1/EiPUmU9mw93pVVaVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf/U+pVVdocBwyRz7ycZFHsT/wCcIhDPuG4jbev/ AKE/+JtRGbfZI2WdP8P+6c9vVdiP3/8AMbRhmlCifMT2ls2w/wDKfpolHqexidf+ajb1VfEPu/7C dvU8khOP1xMCesaOor4lhjzXUj5Ne/m+JOWOcUMRFAfa/iRtzmMgSLPw/vsUQ6gQokbrH/JQY9V4 x/f/AEKIdQJXfh3+z/5rY2dSeDVeJ/w/v6TtOOaxtIqtb/jc4x6okbpADxFeH9H/AHiTHqr0Ir9/ /Kf/AHj1q82TqvTmYbSa7sHriPsHvy1i6s5J7dpAJ0LJ6wiRGwkDivi/f/30o6sgkCOnbb7oNx6m U4SkI1tGm4sftpq9h/6P/oNA603rHTs6/tEpQ9SMT8W0hn9rN0YnTk37fS/f/wApoPWVzE+P+nz/ APwNT1piSDA2LdMnUmBA2k2Aef4nGPWmtYG9f8Pd1w9T6s6qhX/Ocv2uY+zevt8Z/wDx1vL1RxTM TGwK1C/thP2JcuQ66XluPPxcveqq0qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//V+pVV docBxyQyykTCVDt+/p/v/wCZHKGPqZXulX7/ANC+n1X8cf3/APManD1B0Mxzf7/yv/QbtKGUwAjK pjk/E5Tw55AjeK1/+JfYa9LP/GPd/wDFdn/jWfR6jvMfv/5iRHH1RJuVeH7+m7GGXYAJeYHU/wCD /kOXpdRpUxp+X/iv+8UYeoF+ca/v/wB0744SiASbl9pwy4s24ygeT4/Yls/90t5sWWe3bICuf6/3 /wB2mcMu2IifN9qX7wc/S6ivj1/y/wDFf97/AOg0DBnBvfofi1/+JtY8OYEGcga/J61eXJ1E8czE RJGm2gWYdTklIAxoE+Evh2r+1zuth+//ALDU+pnARO0mwbiBL4tyIdYZTGMxon3/APYR+1z5MDr/ AFf4/wDA1j6mc5AGJiPtaS/+Bo/aMolRjYsj/nNnPkAj5CbFmvsy/wC7cz1WStIVx/F/8DdTklvM auNxHw/xf/A3OXVTjIjYSB383/wNv1pkAgakyFa/ZGT03P8AaMpBNagE1tl4/wAr/wA2tZepnGQj GBPfv4KeqyD/AHZ/c+mk9RMREth1J0F//A3P9qykg7NPDzf4/wDym3HqZGQHpnXv+8HqVVaVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf/9b6lVV2hwHnyYcplKUJAA1/zVhgyg3Od0QaG7xQ Ony1KMpWCCO7EcHUAkCVAfDq7Y8OUSucrFHTVBwTMYxsaDbev8KY9OYxNHzUaP2Y7v8A4GjHhyAk zldg6aucuknKju7bf+b6f/xX/wAa2enyURGVG93/ADPS/wDiqJ4MspbhOtK/91ep/wC6ky6fIZSl GW0ngj+H/wCOMnBnJNZKH2UjBmB+PwR6GcDSfu/5KP2fMRE7qmAYk/F3dPQyVQnrd/6dvp+mx+z5 gBU/p3eCjBmsef3yv4vgexXmy5ssZ1GNx/8APP5ijNkMDLZ5gRUfMzHPml9iuP4v4v8A33jXLlzR kREEgEV5fs7f/grMuozaVjI9tH+L/wCBpOfORYhXs1l9qH/vtvNmyRoQiTYs6fD/AOU0nNk2RkIa n4h/A5/tGb/uz/zm45cspbTGufN/T/8ABG5ynGPl1kCOR8X7/wDeuH7Rm42EfD5jH/zY1HqMxq8d Wdfi/wACJ5s8ZECJIB00+xTUc2UzAMCImwf/AIJ+/wD5k/trkzzhIgR0BoGj5k5s2SM9sIEgd6+L RcmbLExMYkgx80a+0iGfLKVGBo/6XqVVaVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf/X +pVVdocB58uDJKZlCW0H/wA4XDgy4yN0gY3Ikf1//A2cWDLjlG5WB7Uz6fLPQy8v2ufN5l/Z57Yj cCYky/qUYc1UZ37f8LI6bMAAJjT8nUYZnGYSlcjrv/xbv5bmenzRFQn27/v/AN0n0M3/AHmvf6f3 /wDNbQxZRARMrN3d/Z/7tkYsuzbdG/iv/B6X/u1HoZjzPm/FrLizSkTCdA9v+QscOWpb5XYMY/6m Y9PliBHfoPf/ABeoo6fMNPU4H/kf/g381kdNnAoToa/xf43WWHKRGp0Rd/4vM9KvLkyZozIjHdHs ycuc0Nla6/v/AO/F9bqKvYL/AMm8uXNA1GG7Tn/EycucwJEalen0f/BGjkzbb263Vf4P+8Yh1Gbd GE4UD9qmP2rNtMhDQeyTX7Rn7Y/3pqeTOADGOtSuP+JJzZdoMI7r3fX/AC19TNISBjR02kf1fzGf W6j+DT9/8awydRYuOhq7+y1KecEiMb1PPwbfP6X/AL7R6uf+Hwuv8X/wJkZuooDZrX/O/wCW3jz5 DPbONDvojHny5JVs0uQ7xetVVpVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//0PqVVXaH AccmCc5XGZA08v7/AL/+bGB0sx9s8eMvi/8ANn7+oz+x5Ab399/H+H0f43SHT5ImzO9NvdYdPOMd pmbsG/8A32x+yZLvf7GT02cEAT0+fldY9PkjdzOo9vlcz0mQkE5ODf2vD0/+8/f/AHqf2XJd+obr b96/suS9Z2L3VLd/F6n8b2e9VVVVVV58mTLGREY3HSnPD1GXJIAwoXUjq1iy5jOpRqP+X9v/AM2f 7xiObqKNwvv/APE1jl6iqMfHzf8AxP8Af1Fnk6gihGvCQH+JIy54itl/+STDNmAkZx4EpD/4EiGf NIA7Oa7H/wAyfv8A++0et1FfBqoz56F4zdC/6m/UzbSTHXy7QB/5uQcueoyENdd0f/NfppE8xF1R uP8AyP8AfOf7RniNcZNVZ+X81I6nLsMzDgDb/wApPr5yARAf85PrZ/4KahlzEgSho9KqrSqqqqqq qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqr//0fqVVXaHAaVVVVVVVVVVVVVXnyTzCZEIjb2kf/jj mZ9QDoLHtqPb/wAY3COaVmRo3oP8P8v/AOKvSNVVVVVVVVVVVVVaVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVf//S+pVVdocBpVVVVVVVVVVVVVVVVVVVVVVVVVVVVWlVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVX/0/qVVXaHAaVVVVVVVVVVVVVXlyQzGRljNeFn/D/3S5Y9QdIkVt1/ i3I29TWhH3eP/wACXb1Ouo9n/K/+BNSGfQxI48w/xoxjqNw9Qjb320wMfUDg/wAXMv8AzWu3qibs D5+X/wAyeROzqNwlfv8A+Y3XUb+23d/zP/jaDHqN2khtv/Du27v/AIA5THVS8unHxfZ3NkdVWhHf w/8AMTpOObeNp8vl5/8AQrBhnEiYmhZ5O7y/++0mGeUKJ818/wCHZ/8AXDB/aojSjXtSY9QalE0d oEhL+LzqcfUSNmXHG3y/93/779V7FVWlVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX/9T6 lVV2hwGlVVVVVVVVVVVVVVVVVVVVVVVVVVVVaVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV Vf/V+pVVdocBpVVVVVVVVVVVVVVVVVVVVVVVVVVVVWlVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVX/1vqVVXaHAaVVVVVVVVVVVVVVVVVVVVVVVVVVVVVpVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVV/9f670wvphfTC+mGgKFJVVVVVVVVVVVVVVVVVVVVVVVVVVVVVpVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVV//0PsVVVZM4jQkD5r6kP4h9KPUh/EPpT6kP4h9KPUh/EPpX1If xD6V9SH8Q+lfUh/EPpT6kP4h9K+pD+IfSj1IfxD6U+pD+IfSj1IfxD6V9SH8Q+lfUh/EPpX1IfxD 6V9SH8Q+lfUh/EPpT6kP4h9KPUh/EPpX1IfxD6V9SH8Q+lfUh/EPpX1IfxD6U+pD+IfSj1IfxD6V 9SH8Q+lPqQ/iH0o9SH8Q+lfUh/EPpT6kP4h9K+pD+IfSj1IfxD6V9SH8Q+lfUh/EPpT6kP4h9KPU h/EPpT6kP4h9KPUh/EPpT6kP4h9LSqrSqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqr/9H7 FVVXDJlnGRAgZBj158+mf3/0NDLkNjZRA8qcWSc73RrimPWyXXpk6mj9naj18lf2zafXyXXpH9/9 DXrTIJ2EEDS/4v8AumD1GQf7s12a9fJ/3R/f/QmeaceMZPCJZpgisZII1WWXICKx2CBf+H9/5bpi nKZO6G2vF1paWlpaWlpaWlpaWlpaWlpaWlpaRK6O2r7PP62T/uy1DJOQBMK1r/T/AN4weomDXpHl qOWcokmFH7I+JHqZKPk17PS5YJTkD6go26q0qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq /wD/0vsVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVWlVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVX//T+ypaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpaWlpK qqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqr/9T7NVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//1fs1VVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//W+zVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9f7NVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//0Ps1VVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//R+zVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9L7NVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//0/s1VVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//U+zVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9X7NVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//1vs1VVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//X+zVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9D7 NVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX// 0fs1VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV f//S+zVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVV//9P7NVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVX//1Ps1VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVf//V+zVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVV//9b7NVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVX//1/s1VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVf//Q+zVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVV//9H7NVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVX//0vs1VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVf//T+zVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVV//9T7NVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//1fs1VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//W+zVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9f7NVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//0Ps1VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//R+zVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9L7NVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//0/s1VVVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//U+zVVVVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9X7NVVVVVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//1vs1VVVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//X+zVVVVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9D7NVVVVVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//0fs1VVVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//S+zVVVVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//9P7NVVV VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVX//1Ps1 VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVf//V +zVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV/ /9b7NVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VX//1/s1VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVf//Q+zVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV VVVVVVV//9k= --_004_13C87111AEA049D1B8A49F9262BFE930uvanl_-- --===============1036338529== 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 / http://www.ntg.nl/mailman/listinfo/ntg-context webpage : http://www.pragma-ade.nl / http://tex.aanhet.net archive : http://foundry.supelec.fr/projects/contextrev/ wiki : http://contextgarden.net ___________________________________________________________________________________ --===============1036338529==--