From mboxrd@z Thu Jan 1 00:00:00 1970 From: Jambunathan K Subject: Re: [ODT] image scaling overridden by long caption Date: Tue, 24 Jan 2012 01:23:40 +0530 Message-ID: <81ipk2mbzv.fsf@gmail.com> References: <87aa5lwfxm.fsf@med.uni-goettingen.de> <81pqefv4r9.fsf@gmail.com> <87r4yt9x5u.fsf@med.uni-goettingen.de> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="=-=-=" Return-path: Received: from eggs.gnu.org ([140.186.70.92]:33868) by lists.gnu.org with esmtp (Exim 4.71) (envelope-from ) id 1RpPxp-0006Dk-VQ for emacs-orgmode@gnu.org; Mon, 23 Jan 2012 14:54:04 -0500 Received: from Debian-exim by eggs.gnu.org with spam-scanned (Exim 4.71) (envelope-from ) id 1RpPxo-0007B9-Ci for emacs-orgmode@gnu.org; Mon, 23 Jan 2012 14:54:01 -0500 Received: from mail-iy0-f169.google.com ([209.85.210.169]:46229) by eggs.gnu.org with esmtp (Exim 4.71) (envelope-from ) id 1RpPxo-0007B2-2P for emacs-orgmode@gnu.org; Mon, 23 Jan 2012 14:54:00 -0500 Received: by iadj38 with SMTP id j38so6513512iad.0 for ; Mon, 23 Jan 2012 11:53:59 -0800 (PST) In-Reply-To: <87r4yt9x5u.fsf@med.uni-goettingen.de> (Andreas Leha's message of "Sat, 21 Jan 2012 11:18:05 +0100") List-Id: "General discussions about Org-mode." List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org Sender: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org To: Andreas Leha Cc: Nicolas Goaziou , emacs-orgmode@gnu.org, Eric Schulte --=-=-= Content-Type: text/plain Hello Andreas I have added support for character anchored images as part of the following commit release_7.8.03-201-g1d99fd7. I am attaching a sample Org file and the associated ODT output. Nicolas/Eric Don't be surprised. Please Read on ... --8<---------------cut here---------------start------------->8--- #+TITLE: side-by-side.org #+AUTHOR: Jambunathan K #+EMAIL: kjambunathan@gmail.com #+DATE: 2012-01-23 Mon #+DESCRIPTION: #+KEYWORDS: #+LANGUAGE: en #+OPTIONS: H:3 num:t toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t #+OPTIONS: TeX:t LaTeX:dvipng skip:nil d:nil todo:t pri:nil tags:not-in-toc #+EXPORT_SELECT_TAGS: export #+EXPORT_EXCLUDE_TAGS: noexport #+LINK_UP: #+LINK_HOME: #+XSLT: Nicolas, Does the existing behaviour as captured in [[Side-by-Side images laid out by hand]] be preserved with new export driver? Eric, 1. can the extraneous parbreaks in [[Side-by-Side images using Babel]] be removed? 2. Can [[http://lists.gnu.org/archive/html/emacs-orgmode/2012-01/msg00678.html][this issue with #+header lines ]] be fixed? * Side-by-Side images using Babel Creating side-by-side images with Babel is problematic. #+caption: foo #+ATTR_ODT: :width 7 :height 7 :anchor as-char #+header: :file foo.png #+begin_src R :exports results :results graphics plot(1:100, 1:100) #+end_src #+caption: foo #+ATTR_ODT: :width 7 :height 7 :anchor as-char #+header: :file foo.png #+begin_src R :exports results :results graphics plot(1:100, 1:100) #+end_src The images are vertically stacked because Babel introduces extraneous parbreaks. This forces the images to be anchored as character, but to *successive* paragraphs. Here is a segment of Org buffer as seen by the ODT exporter at the end of =org-export-preprocess-string=. #+BEGIN_SRC org ,Creating side-by-side images with Babel is problematic. ,[[file:foo.png][file:foo.png]] ,[[file:foo.png][file:foo.png]] ,The images are vertically stacked because Babel introduces extraneous ,parbreaks. This forces the images to be anchored as character, but to ,*successive* paragraphs. #+END_SRC * Side-by-Side images laid out by hand To create side-by-side images flank them with paragraph boundaries. #+BEGIN_CENTER #+caption: foo #+ATTR_ODT: :width 7 :height 7 :anchor as-char #+header: :file foo.png [[./foo.png]] #+caption: bar #+ATTR_ODT: :width 7 :height 7 :anchor as-char #+header: :file bar.png [[./bar.png]] #+END_CENTER You should be seeing side-by-side images. --8<---------------cut here---------------end--------------->8--- --=-=-= Content-Type: application/vnd.oasis.opendocument.text Content-Disposition: attachment; filename=side-by-side.odt Content-Transfer-Encoding: base64 Content-Description: side-by-side.odt UEsDBAoAAAAAAGIHOEBexjIMJwAAACcAAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQub2Fz aXMub3BlbmRvY3VtZW50LnRleHRQSwMEFAAAAAgAZQc4QH2yj3qQDAAABm0AAAsAHABjb250ZW50 LnhtbFVUCQADBbUdTwW1HU91eAsAAQTuAwAABAECAADtXVFz2zYSfk5n+h9w6tw9tKUoyXZs62Kl tZO26TnpTazO9KZz04FISEJNEixAWvb9+tsFQIqUSJm2ZVn2yMk4IrBYLL5d7C4ACnnz9joMyBWT iovopNVtd1qERZ7weTQ5af06/ME5ar0dfPnFm785DrlgjLDEc4WcuJ/ff//u43syFpJ4Ir6RfDJN CI/gOaQJ8CKOg83EeMw91veFl4YsShxPRAn8++UXBH6g60j1DclJK5VRX1DFVT+iIVP9xOuLmEVZ 036Ruo+CFpmo5CZozEMTL7FI2HXSlAPSLjOgo+YyaOIlFr6ks6YckBa0tMRjLJpyuFaBMxagkzAG nVXJcx3w6PKkNU2SuO+6s9msPdtro/q7x8fHrq4ty+/lxHEqA03qey4LGHar3G6765YahCyhTcVF 2iUJozQcMdkYM5rQau2rq0lj87marMLMm1LZ2JA0cYUZ7PnNzWDPX2IAc3Bao7Yj9yNU6l8fzxcM R4ZNe0XaZQw9yePGQzfUS0yEELnk2MpMeC19r9PZd83zYpPZyjYzyRMmF9t4K9t4NPDKShFhFaRA 3HWBwmFXaOLl6YMwqZpWPddUl1sov7aT3z6eX3hTFtKFFvz2Fg6PVEKjBdwkKqsWggNXsljIpAzb uLmjBtX2yqIKP6l3JlBZNkfOgmwW5MLZLtl1zCTH3miAqnRCBUMEHYu4X2itjQs52saFONdrDbAz HdeMJSoTsqDMUttiFwpz0jHELzKmHiM+8wIqdaxbaolUDlI5SKUGZlhvjOfJK4l5xhGdtIZ0KkLa bRHwLhlJyIObrKblNuHiiVRysPRlLrbmWxKKSKgYGjbj+L3kNCC/RhxyAkY+XlSw/geNhfrnIqEp bZEC85gnHrilKwqk4DmbCfDTj+Qjj7ypIOc6x/i5VoIlynWJMJwKGfkUyCu0U6grssBaZ8IiMFPw MxI0GK1BEDB5RT6xGflsGVYjsUBXgcMjCfh9MKLRTYVceUW9CGrGlXq4CBc8vEiroMkrVohwoxIW rkFPZsrWzuW1yPDGrfU2ubuiaSIwH/cMuyVHldc7pj4bnMn2PZ3Il1vmI9e/S6P+RU4+RD74ZObb ts45BMXA6eajsTAoU92yHOc8bbMY/DiTCYdudabt4whHNMAI5mAJ5F9BGkYQWsc0UDD3xgJyHjnh kROwcaId/FHXC4sVeoly0up4ObjM5zZnN1xAnFdWEssfm5uP0GMaIeNWoWxCY8PQnY/ErRtKBp9b wO/ekPaeAtLjzsELhnRv85D22gf7LxjR/c0jutfuHr5kIz14CkhftCd9vXlE99v7+y/ZSA83D+lB u3P0ghE9egpED7sv2UiPNw/p6/beS0a023kKSI+PngemhZXVEIW507pKt1hEV49pCVtdWkTWFEtQ 0Iz7uC18/PrvRbwSYQdXKBuJJMHtzk67p2vMaQUN+CQ6aXmoezlfCVcP9LbRnGloK8dktV4zNKuT yhHaOjvQ7tcPEXIUnLEgqBEQa2rEg6pl4a7wyaOBYzEE0DXeMfXNUVun3T04tkoYCekzaRQTiYgV CzPNLJab6bBYaueCLq6DoiEQ5yuQsDUxlXjGpx+cJSCbwbV+TDrtTqfnhUSJgPvkq47+eSSQPj9X kGoMpxq7h1rSs0WpqSk9CmzD7UHtVhyezEsNt8hNPRClTfqt4RZNyccxrseZktvkyjZkbo8C5On2 wFgXEW7F59F92+kW+bYHorRJ33a6RXP0cYzrcabkNvm2DZnb4wSJLXJujWPE03u74Ta5u3XjttHc bpsc4IYM8JEm8ja5xKcyybtBW9j1PH3/44dP/fLmJ74+bt7gZT5hf6Xl1+lWa+W9JV/Xtmi303nU fdGm49mC3dHbRP2BS5Vk8uoHI68R/fF2TUPu+wF7LhunGUDndIfPKnwWDejfVNKJpPF0EaV4saLC 12oOf/Q6f5yZb5qoJUBzLgseV583laey7ebPVCV8fOMoABQ6mgEE2VHSmm1jC4bOIv+h40Zv//7T uzv4+uUwcQZ9i9ByGLIwDmjCGgQG025dMeEIQ8IaD7+MdFtx9DU/iMyNjlwYTTVFeVtMViVUJncw 2jmqyKTMF2AU8qSV5z8FQpEmAY/yU+RiFZY7yVSKdDI1A8xcpsUED7Zr3uGGTnW14v+D6m4vTgpl GSsZ0qCVj1tNqY9feSl2oSvSCJyzFqYkRMZuxjK3bfgVhMPeHao4jTIZipVaZba2orHhu4JAc8fv TAXsupZ/Xl/fQw2JUc9V1dCrCKyONWP9+WHTGX34ZzHbzYbdbNjNhnD7MprdhNhNiCecEHp588Lj w1j/7KbDbjo0mw4vP0DsZsRuRlSstXHz717L7A28izqi3uUETDDynUUrLm8odo4PyxuK6zhBWPP5 RuEd78K4eEgnbPkl7kq01hbzn0Z1iMJRZ6e6h6zmn0Zznv7Zae6hmcXTaG/fxz877T1w32A39bZL efmZzoqDGSTNb6WouFpC19vqkfBvsh5tESZZc1H1F8IU+ytlUeFmi1cV5fa7Y1yBKDdZlg06umIB oNUy1cbUPgQBiG9u7dFJ2wP5DfP7OB7KCD6ug887cyncOljl71esgdcPfJLK0gLKrdZvUfmx4VBc 7+GbNDzBozxDkuDDQHGfOSNcsvn69irL3FTah3hwO1N3Jc1FOkqKfVOi77/rJzcxECiOK4uWLZtK Nj5phZQHiehf/knDURrRZEqj7yZY2PbwiNLy4RFPOHgnTzKaCDn4eU5N/mWlX6SxxbTZ6HLJ7zZA Hye2cQZ4b15p4f3p8MAqGKmcKxqkUNrrdHtOp+v09oadTl///aZz0N8D99TbIz/DgJDCyowN7yw/ OpFbrQQnE24KoI9p6SavPnFw8VR9SwrNs67vx/GdwG+tThlh11wlMOfIiE3pFRepJFQRj8ZJiifd PLJsR0JchlReOmAbpgf4wKQ2f3NtJoQmdAN55RyB3+CprZjn9FqDC2vt+C/RDl6RgEIogBlIRjcE 7Ma3Yyt2OQD5SCyZYvIKxJrxZEoiNgPx8ZI34ksOcfLt2uB5L7lXi/YiywAQNFzxflAepcBYvymg A7DdLqmyjE/2fYJzYGA7nnN0eMJCU3gH2V+hWB6YqtEtBIuIiVSRmMoRzL5LtWaNdqs1muL+Ezml IxbUKNOKKlkoQKFvs3EWcX5lnxbQWAtEZxoirtCsxvwaTKqpW7QXAGL/qj2JUn0HIJXeFCzQnSZh 4LKQesqB4lD4zLVexQ3VpNN5fXjURhpwn7p3rlTKjDV/9c2UUciUCMYhRXIfmUt4B4xKRotVud2W LXe6jNZPIAToDgHrWs0vxMZu5mFzleodyGLALFuIu0BfpMwobjOicocs8ld2ZwY+vbe/PcNAhZ0X Y3MmltaWlgrUBz5JQBKlU8X2Cn9xPzne4C25/bGEeqI/LjiQDxEq5gPK1dLXtdn3Zw4hydYveGoT wksFIU3XFk2Vg5e2ggo1P70zOBLXRL8lyiNnavdILYf6wFbKRQe3CXoG8QQImV8vKxYt9F73luu8 OGugPH2H4fJ459vwVkatxNKE1iIpF5Yh3XYMyecKD6CmuO/MwGv7WRH1Ekg0gVJE54L62vrmYAzG QsyTBLeEeZlwZzvP23Z622c7d7eZ4TT3clQykm09BDcAGyzLIUqOmEdTxTL/FyVS+KkH9PNcA/jk 2UabDDHMQTrh2XzTsk8ExjUDN7DFlBNMCwDBS15HkAomYr5sizFYL4p/KgK/NVCpB5wVxN5sTQbE A5KrTtU55buD8xPkRujxKVFsgpf3EjEmYJ8g7hjyJhyDYizCJBYH+su7oc1OsS4xCVnkAyNotmpg aPKQOLQGkEE4hoMDmS8EGhwpBFvMK4ujXR13bl+TXkjvNBDeZWuQxT0rnltam+aFRoX5I8bD/KEQ rZFyTlWMkwUp7yLd82i2WrNACL/P8eb5we+/j7k+4RPoO/5bVOlduNyzXaHve3KY3LPdfUdabvcs jGFnQzsbyppBcK1zoRBs88/zoDv3wib45s82CNc53Two50Xz4HxP2ecBPeeJgT1/MAE+f0zqh5qI wjDmANhEYF4wbzFPDOYt06TI8D5jwgMbMAnWZLaZVOPrea7xdYX1uYNC0rFyv2gTq+7eravuXs2q e2kzrtzriqV3bx1L76EgepuYVa69xwGNLjGVCs0yPIecjPDEiErOajO+ZsnQmfmGzGC3gtr0Cmrv SVdQO21vVtv769f2iMoNr5f/I1ICcqYBLoxx9VezZ7hqEZofOWP54jG0PWf+8ou8ZPH/IoPa/wNQ SwMECgAAAAAAYAc4QAAAAAAAAAAAAAAAAAcAHABJbWFnZXMvVVQJAAP7tB1PCbUdT3V4CwABBO4D AAAEAQIAAFBLAwQUAAAACABgBzhAmEW3CKcMAAAJDgAADwAcAEltYWdlcy8wMDAxLnBuZ1VUCQAD +7QdT/u0HU91eAsAAQTuAwAABAECAADFV3s8lNu7H8cw4z6a2HszLiGS63ZNYwy2S8olhRDbYKeI mkblMjPU2xZtRSfXbVxKbUIx7hlGvUntkkRGym1U7pchjFGY35r9++ucP87nnL/OfGbetdaznue7 nvV9nrXmea8d9nSVk1aRRiAQcm4HnI4gEGJc0Q8tDiQHpT3LQRN92N3HGSH6UBAIBoJCQVBYCEY/ RTQGAwaFAr4sCmuW8c80A8FgiKQsRr+QRUGwwBwDwepnsWZnWbPCfgain0HpFwpnWZR/C2aFQiAF Y9AAMRh53/a9Dfzxd3Ny8IkvXCi6cfFzk6JL0fm4rAh2zEJDo2pzbXS7ED9w8+/gglynHflwTyq1 5+XLl47m3G+JLgidq9biB2KPfvuPJz8g06+QzmEM5aFOB+Y+tDIK/qTpj/v/FmZpCSSjnniTHQ39 L5POySI12nHH4Z5kp2eQtSSk8VhduLY507NVy/Vgcd+PaWQIkzaGSn9XDBKXhHgV3D9+PtVbs96G ei9TdUqEPaRjqZx6LDrr2aOfRoVf1JrcVL0cYAkUHJ0V9fRX06F7ieiYd9uEQW3lMH8/Hnny8bpc a6ejLNovImhAyz/77rD58R/SfVcfGQRW12EKs2I5+CBB/UKH3vOsjPv+puM0qrrx5gf+ONZkTL00 HIZqiSEqgdfc/1SqI1fQTITLz0Ob/QffpEysWLB2FJqdczSMnuz7mmDVtqPIzPxR7F+JqXO/qF4d CQs1R+dGrF0JQFp3H9yoztB6RME8eL221btamoPTX9F79nS/wfe7H6o+pQLVorVZtYGQy9yDH/qL U9eOaT7ybGqcmslZ7jhTSy6K4eDZZkmDRsrVtY0EhbkaR3JK0Mbq+mb6Z2A6Lj3UFbeVgq7GIA1i JydT5mq8VC6mp8jMV47qa4qMjC+RTlhphHSH3wI+jcsOZdYoO/yDe3WEg5foVGjtfIrS+rjCVL/E DRy8QGtMS9cA9ru9J1rVr3D3pgXYed1xA+qmelEbtuk3RHM2tRx853ORIQ5pUL/+LuVEfB/zuKH7 PR/eTg3ivLIMFp2rm0RdJfwiEuOuEdoD76WJDLUrAGgGl6KDC+mu1xHFpG+Zo+WxCbT8G6b0RZ1o 3mDDVChBAkon9ReX+4gcLQr3YR+tFIQ2D75xYFqU9TxwIF/4MZeXqIucQsGvBhcyy34XOcgOe0Qs OHFdw+5ph/4C8+GofvjmkqK6Z+TvCVT1gfqY/PmODv24Z09lv/NtT9zQkF8iH9Ser4p7pUKk/Z56 NJDbC3i//qDUPHRporDr2ufUnhdLl6a3BNm8xD6j2PbhUVpSqXO5dz1XaCvrVTLW1PG49u8/dJYB 3y1ZV8VDGaurOTFHbM9w8LszNewcJfSOtJJGrxwl27QXTInisSBZ8rmqEynazgg3kP3un14Rdxgs +gXNf7YgiPrZVbR7jUd5vMQkZOs4m1Zc5gYMOS/oG7YMPRBIvxIcB9+NBfxWKUA5y5vnQ218Ab8P rFoq4woMRAqqyENZJ6mr9KZ7IEFDKbgQozJRLJV0T25Ue6WQjpuphXSfdAegSrvfL3PCXgFK/b3N jvEsToClH2htDK0w7dSg7j1vi8sjRakloX+Y/a5B5Cmk6V8QFnd61z6ZlFdxdD/kEMipV/OZZS+z QE7l7GkgFnSrixxzapktisgEa3Lu/AZYP+lC1vqTuEVIFhOBmGUbja29VCx07J1YOS8nCtmO7GC7 HmMtke/QJw4+2EnkBxLtp/u5W+Z9jXbkoFFTQuX9UQREt2daKEVn6mLm7Zc/V/2Evni74KsaJtpL 7sUxc0y0u9K/Gw+Oqj1zd07jFAKSq3hIQGGiD8SIRLvQuWVvXLs1B/9Q6YqzZ6qh/cqebvWiIaP7 55ItwjTzUU7vPxaDi4aabH+evWBz0/jROsrp2LBIhAeiTo6q6aneYKIma5aPIykVOXmEvLHJvMIt VscEJ2zI60IhZ3iOeYt1zuuagrXtM/Ftc8vLdY3DbWSlrJi+c+X9I1YV27NyPzZMl7eOb6yQN0/G RXed146PtzWuyE1SFXTpHV5f5sg2uXn7JNEsxWHvBm+2GNL17UGqvGY8cQ2cXPulpI/6Y2Jwa2TE hi3EpTfU09QdluwKKgEz65dJjMH9kZ/epUigRz1jOaqDuoI+6/CjR5pTmdxDY9c93EZUbsRk6lpJ tQu6B7P7b/T2L3Oux0AmdHOr3RfCLQLaOwaU6TOMWv2K46WNgNsHpdZvh4E/yLO3ObNyTI/Au+Ng 14wGx64FmydWkSm5Vdaixhi53uoRJdQ18Ot9f4pNQyFDUPCvtZZvBdunkHDeKXqyRd05JcJoH/t0 DkeQ6XI7UVzVIN52hukebKmyYMP0XupqRs31W2r3FYu3oUp+uZcojt5Oc6fKR+/Ebbvi2IXOzd8m ClcOwxqYvWDnJ+2ZHrP7I8Fxq9IUqAVyVLk6c2pF0otfdA5NCaIk9QLGFPe3F8DUpbjVSutLXMVO Ps5+SeqhKFXs7gS0i0OZB4xLXDEPWIA4JhkQ+yPsWWHgsAhYY8vkVgMeVVve+n9TNmwjFEwHMufB /sXhBTvNwHYaCgvfAJ0NQZQLi+uigTGi0yw77MkMhbTFO4nikkasTpTTem+xOL26lOpvl7kPfYYr 1svO5pH0BEtzqWf7/TaxTkvPx590mni8/4b1EcaPEySVNinfy5qA//cTxXWNvk3w3yUrBum58OBU Ew1eVMVy+eBLEKT2Jjc2uCinD5Nn0v8+5AW1nu65nIGMO0+zvGsN/2WihWejF89u2PZd48rn9WgT pIzpis72zH0E9OIc2JcaerEZkKrs+iu5Zuiu1AWYrg6wHAHWnmsN3DOZNRF7ZBbXBVFX27h9P3ir BMANU9hKKLJHuw869Ku9EfjP9oAbx1RzFN3gbJ4CxjCjmMR35d3Evt6eJhRA6a+D9AKBtsbNHe7U 7bRi7nz9wI2bpI8rNueRcUIQuTSpN/gTMgBFEQ4eA0dBDvbhOQOUS6SMmuredtFTS2tfj49RHwtY Sd+QmRREyUnAP01G5uVK1NNG7TugALuzdy7Ab2IbFKDOSF/TEuPoe94AxQ9j6JkFfVCPKXeGcSEL T+zJfJTT0Xa8KaZwXawXSLSDyaMop1haI1YcDtDAeKwtPrvtPEW1t1hIIBo9LI3sUdyHvgiGHNXL l7l5QwxGKy7dEOlKqvdIZAvnjfOFlkd2+g3dK/cSrii5bzwPvfh2eTVvQrsUFCO6PFivo4t+6448 37XXotYjLHmnFx7qrltz3gJkuPmY5PMLXVQhD7M1twkgqOg3yjeZ0nl3ibtqQQBV0V7l190yyv0G +bOWYvCn/r35W/+pmCMdkfybczeE/RRa6gLT2kgHUqCNePhWoITea5nYKKw71arMDG44eTpqZ6Gp niGoqXylJiclqFE73Df2XyKdq1R8vf13aiCynkgp3QtLZcESlRh3Kv+uJLBxrVQsNFUMutNG+lhv 0CmxMoELmcUUmsoEgaIsWwn4srhTyX3tG/DsldSkYK9MJzKWlpNaB2HrOqykpcoIU6XXQaDqvA+T HaMG3cVgw5LYWyGmXVMPdu4ovKl8EdRxZjKT71KGvwCUCID5Zedr/n3ETxKxNF9oGMJ+dZBtAYi+ ae6QTfteZ09YqkVTWRwk+ZxCmgtZXxZJPJPwDL/QgpmBvLw0igjEwQWxXgwIyncjJdkUU1HJN8eD D/9R11x9Cf/fysuMctJ9MSI8EGCI9Y13O7Fjl7+tItSJ/a/NOf9d/0NtKgku7rO5cUbOmEVvtvlB fuLZWzNr25PlqHSns8nN5DGvqNKOGuKt6Dc5xvs2LUrsyiMSNvimuKQEpht/lV8VdnNm2XiYnFe8 Z3OkuA9LSB279fNLftAM1BH814uxhzrFHRy70T918JtrvDjJPMtRY0bx9NJQya5DYaUvSrbXlG11 PxQbBC8tf31M0Jmy2S47rkPd2ho7+3hs5k/5x1vmDdOrTuESenrSLi90hmL/kpFvlmOg5dd3AbVv Kir+iWUdeZ9rrsG7i0ZNs7AScPithZbZCpDONbovR4+0qfguvQlryZ/OSx3fmCIGPiQx1rnh7Hwd 6v4k1c0qcFESM4jPwAItu/X2ZycoyBdZ0sepX09nG/owHcpetB7FH/Cw8CNTSknn3esIx4y+c4+O jPg2KiR1kWrpcqq4LLkLd+imPnL/57eBciJMbI9RWdvdNDDtubSyjqJ1jrzmqLCl7EaeKkVZf42o Hpj2WKpzZoyUHDFgy4zSzY+dXjXOl879zAb11ES8Sfx6d9DD3nJu1m98+K3d/35pIUr7qlfeLjnz f17p3Jw9naodSdC/AFBLAwQUAAAACABgBzhAmEW3CKcMAAAJDgAADwAcAEltYWdlcy8wMDAyLnBu Z1VUCQAD+7QdT/u0HU91eAsAAQTuAwAABAECAADFV3s8lNu7H8cw4z6a2HszLiGS63ZNYwy2S8ol hRDbYKeImkblMjPU2xZtRSfXbVxKbUIx7hlGvUntkkRGym1U7pchjFGY35r9++ucP87nnL/OfGbe tdaznue7nvV9nrXmea8d9nSVk1aRRiAQcm4HnI4gEGJc0Q8tDiQHpT3LQRN92N3HGSH6UBAIBoJC QVBYCEY/RTQGAwaFAr4sCmuW8c80A8FgiKQsRr+QRUGwwBwDwepnsWZnWbPCfgain0HpFwpnWZR/ C2aFQiAFY9AAMRh53/a9Dfzxd3Ny8IkvXCi6cfFzk6JL0fm4rAh2zEJDo2pzbXS7ED9w8+/gglyn HflwTyq15+XLl47m3G+JLgidq9biB2KPfvuPJz8g06+QzmEM5aFOB+Y+tDIK/qTpj/v/FmZpCSSj nniTHQ39L5POySI12nHH4Z5kp2eQtSSk8VhduLY507NVy/Vgcd+PaWQIkzaGSn9XDBKXhHgV3D9+ PtVbs96Gei9TdUqEPaRjqZx6LDrr2aOfRoVf1JrcVL0cYAkUHJ0V9fRX06F7ieiYd9uEQW3lMH8/ Hnny8bpca6ejLNovImhAyz/77rD58R/SfVcfGQRW12EKs2I5+CBB/UKH3vOsjPv+puM0qrrx5gf+ ONZkTL00HIZqiSEqgdfc/1SqI1fQTITLz0Ob/QffpEysWLB2FJqdczSMnuz7mmDVtqPIzPxR7F+J qXO/qF4dCQs1R+dGrF0JQFp3H9yoztB6RME8eL221btamoPTX9F79nS/wfe7H6o+pQLVorVZtYGQ y9yDH/qLU9eOaT7ybGqcmslZ7jhTSy6K4eDZZkmDRsrVtY0EhbkaR3JK0Mbq+mb6Z2A6Lj3UFbeV gq7GIA1iJydT5mq8VC6mp8jMV47qa4qMjC+RTlhphHSH3wI+jcsOZdYoO/yDe3WEg5foVGjtfIrS +rjCVL/EDRy8QGtMS9cA9ru9J1rVr3D3pgXYed1xA+qmelEbtuk3RHM2tRx853ORIQ5pUL/+LuVE fB/zuKH7PR/eTg3ivLIMFp2rm0RdJfwiEuOuEdoD76WJDLUrAGgGl6KDC+mu1xHFpG+Zo+WxCbT8 G6b0RZ1o3mDDVChBAkon9ReX+4gcLQr3YR+tFIQ2D75xYFqU9TxwIF/4MZeXqIucQsGvBhcyy34X OcgOe0QsOHFdw+5ph/4C8+GofvjmkqK6Z+TvCVT1gfqY/PmODv24Z09lv/NtT9zQkF8iH9Ser4p7 pUKk/Z56NJDbC3i//qDUPHRporDr2ufUnhdLl6a3BNm8xD6j2PbhUVpSqXO5dz1XaCvrVTLW1PG4 9u8/dJYB3y1ZV8VDGaurOTFHbM9w8LszNewcJfSOtJJGrxwl27QXTInisSBZ8rmqEynazgg3kP3u n14Rdxgs+gXNf7YgiPrZVbR7jUd5vMQkZOs4m1Zc5gYMOS/oG7YMPRBIvxIcB9+NBfxWKUA5y5vn Q218Ab8PrFoq4woMRAqqyENZJ6mr9KZ7IEFDKbgQozJRLJV0T25Ue6WQjpuphXSfdAegSrvfL3PC XgFK/b3NjvEsToClH2htDK0w7dSg7j1vi8sjRakloX+Y/a5B5Cmk6V8QFnd61z6ZlFdxdD/kEMip V/OZZS+zQE7l7GkgFnSrixxzapktisgEa3Lu/AZYP+lC1vqTuEVIFhOBmGUbja29VCx07J1YOS8n CtmO7GC7HmMtke/QJw4+2EnkBxLtp/u5W+Z9jXbkoFFTQuX9UQREt2daKEVn6mLm7Zc/V/2Evni7 4KsaJtpL7sUxc0y0u9K/Gw+Oqj1zd07jFAKSq3hIQGGiD8SIRLvQuWVvXLs1B/9Q6YqzZ6qh/cqe bvWiIaP755ItwjTzUU7vPxaDi4aabH+evWBz0/jROsrp2LBIhAeiTo6q6aneYKIma5aPIykVOXmE vLHJvMItVscEJ2zI60IhZ3iOeYt1zuuagrXtM/Ftc8vLdY3DbWSlrJi+c+X9I1YV27NyPzZMl7eO b6yQN0/GRXed146PtzWuyE1SFXTpHV5f5sg2uXn7JNEsxWHvBm+2GNL17UGqvGY8cQ2cXPulpI/6 Y2Jwa2TEhi3EpTfU09QdluwKKgEz65dJjMH9kZ/epUigRz1jOaqDuoI+6/CjR5pTmdxDY9c93EZU bsRk6lpJtQu6B7P7b/T2L3Oux0AmdHOr3RfCLQLaOwaU6TOMWv2K46WNgNsHpdZvh4E/yLO3ObNy TI/Au+Ng14wGx64FmydWkSm5Vdaixhi53uoRJdQ18Ot9f4pNQyFDUPCvtZZvBdunkHDeKXqyRd05 JcJoH/t0DkeQ6XI7UVzVIN52hukebKmyYMP0XupqRs31W2r3FYu3oUp+uZcojt5Oc6fKR+/Ebbvi 2IXOzd8mClcOwxqYvWDnJ+2ZHrP7I8Fxq9IUqAVyVLk6c2pF0otfdA5NCaIk9QLGFPe3F8DUpbjV SutLXMVOPs5+SeqhKFXs7gS0i0OZB4xLXDEPWIA4JhkQ+yPsWWHgsAhYY8vkVgMeVVve+n9TNmwj FEwHMufB/sXhBTvNwHYaCgvfAJ0NQZQLi+uigTGi0yw77MkMhbTFO4nikkasTpTTem+xOL26lOpv l7kPfYYr1svO5pH0BEtzqWf7/TaxTkvPx590mni8/4b1EcaPEySVNinfy5qA//cTxXWNvk3w3yUr Bum58OBUEw1eVMVy+eBLEKT2Jjc2uCinD5Nn0v8+5AW1nu65nIGMO0+zvGsN/2WihWejF89u2PZd 48rn9WgTpIzpis72zH0E9OIc2JcaerEZkKrs+iu5Zuiu1AWYrg6wHAHWnmsN3DOZNRF7ZBbXBVFX 27h9P3irBMANU9hKKLJHuw869Ku9EfjP9oAbx1RzFN3gbJ4CxjCjmMR35d3Evt6eJhRA6a+D9AKB tsbNHe7U7bRi7nz9wI2bpI8rNueRcUIQuTSpN/gTMgBFEQ4eA0dBDvbhOQOUS6SMmuredtFTS2tf j49RHwtYSd+QmRREyUnAP01G5uVK1NNG7TugALuzdy7Ab2IbFKDOSF/TEuPoe94AxQ9j6JkFfVCP KXeGcSELT+zJfJTT0Xa8KaZwXawXSLSDyaMop1haI1YcDtDAeKwtPrvtPEW1t1hIIBo9LI3sUdyH vgiGHNXLl7l5QwxGKy7dEOlKqvdIZAvnjfOFlkd2+g3dK/cSrii5bzwPvfh2eTVvQrsUFCO6PFiv o4t+644837XXotYjLHmnFx7qrltz3gJkuPmY5PMLXVQhD7M1twkgqOg3yjeZ0nl3ibtqQQBV0V7l 190yyv0G+bOWYvCn/r35W/+pmCMdkfybczeE/RRa6gLT2kgHUqCNePhWoITea5nYKKw71arMDG44 eTpqZ6GpniGoqXylJiclqFE73Df2XyKdq1R8vf13aiCynkgp3QtLZcESlRh3Kv+uJLBxrVQsNFUM utNG+lhv0CmxMoELmcUUmsoEgaIsWwn4srhTyX3tG/DsldSkYK9MJzKWlpNaB2HrOqykpcoIU6XX QaDqvA+THaMG3cVgw5LYWyGmXVMPdu4ovKl8EdRxZjKT71KGvwCUCID5Zedr/n3ETxKxNF9oGMJ+ dZBtAYi+ae6QTfteZ09YqkVTWRwk+ZxCmgtZXxZJPJPwDL/QgpmBvLw0igjEwQWxXgwIyncjJdkU U1HJN8eDD/9R11x9Cf/fysuMctJ9MSI8EGCI9Y13O7Fjl7+tItSJ/a/NOf9d/0NtKgku7rO5cUbO mEVvtvlBfuLZWzNr25PlqHSns8nN5DGvqNKOGuKt6Dc5xvs2LUrsyiMSNvimuKQEpht/lV8VdnNm 2XiYnFe8Z3OkuA9LSB279fNLftAM1BH814uxhzrFHRy70T918JtrvDjJPMtRY0bx9NJQya5DYaUv SrbXlG11PxQbBC8tf31M0Jmy2S47rkPd2ho7+3hs5k/5x1vmDdOrTuESenrSLi90hmL/kpFvlmOg 5dd3AbVvKir+iWUdeZ9rrsG7i0ZNs7AScPithZbZCpDONbovR4+0qfguvQlryZ/OSx3fmCIGPiQx 1rnh7Hwd6v4k1c0qcFESM4jPwAItu/X2ZycoyBdZ0sepX09nG/owHcpetB7FH/Cw8CNTSknn3esI x4y+c4+OjPg2KiR1kWrpcqq4LLkLd+imPnL/57eBciJMbI9RWdvdNDDtubSyjqJ1jrzmqLCl7Eae KkVZf42oHpj2WKpzZoyUHDFgy4zSzY+dXjXOl879zAb11ES8Sfx6d9DD3nJu1m98+K3d/35pIUr7 qlfeLjnzf17p3Jw9naodSdC/AFBLAwQUAAAACABgBzhAmEW3CKcMAAAJDgAADwAcAEltYWdlcy8w MDAzLnBuZ1VUCQAD+7QdT/u0HU91eAsAAQTuAwAABAECAADFV3s8lNu7H8cw4z6a2HszLiGS63ZN Ywy2S8olhRDbYKeImkblMjPU2xZtRSfXbVxKbUIx7hlGvUntkkRGym1U7pchjFGY35r9++ucP87n nL/OfGbetdaznue7nvV9nrXmea8d9nSVk1aRRiAQcm4HnI4gEGJc0Q8tDiQHpT3LQRN92N3HGSH6 UBAIBoJCQVBYCEY/RTQGAwaFAr4sCmuW8c80A8FgiKQsRr+QRUGwwBwDwepnsWZnWbPCfgain0Hp FwpnWZR/C2aFQiAFY9AAMRh53/a9Dfzxd3Ny8IkvXCi6cfFzk6JL0fm4rAh2zEJDo2pzbXS7ED9w 8+/gglynHflwTyq15+XLl47m3G+JLgidq9biB2KPfvuPJz8g06+QzmEM5aFOB+Y+tDIK/qTpj/v/ FmZpCSSjnniTHQ39L5POySI12nHH4Z5kp2eQtSSk8VhduLY507NVy/Vgcd+PaWQIkzaGSn9XDBKX hHgV3D9+PtVbs96Gei9TdUqEPaRjqZx6LDrr2aOfRoVf1JrcVL0cYAkUHJ0V9fRX06F7ieiYd9uE QW3lMH8/Hnny8bpca6ejLNovImhAyz/77rD58R/SfVcfGQRW12EKs2I5+CBB/UKH3vOsjPv+puM0 qrrx5gf+ONZkTL00HIZqiSEqgdfc/1SqI1fQTITLz0Ob/QffpEysWLB2FJqdczSMnuz7mmDVtqPI zPxR7F+JqXO/qF4dCQs1R+dGrF0JQFp3H9yoztB6RME8eL221btamoPTX9F79nS/wfe7H6o+pQLV orVZtYGQy9yDH/qLU9eOaT7ybGqcmslZ7jhTSy6K4eDZZkmDRsrVtY0EhbkaR3JK0Mbq+mb6Z2A6 Lj3UFbeVgq7GIA1iJydT5mq8VC6mp8jMV47qa4qMjC+RTlhphHSH3wI+jcsOZdYoO/yDe3WEg5fo VGjtfIrS+rjCVL/EDRy8QGtMS9cA9ru9J1rVr3D3pgXYed1xA+qmelEbtuk3RHM2tRx853ORIQ5p UL/+LuVEfB/zuKH7PR/eTg3ivLIMFp2rm0RdJfwiEuOuEdoD76WJDLUrAGgGl6KDC+mu1xHFpG+Z o+WxCbT8G6b0RZ1o3mDDVChBAkon9ReX+4gcLQr3YR+tFIQ2D75xYFqU9TxwIF/4MZeXqIucQsGv Bhcyy34XOcgOe0QsOHFdw+5ph/4C8+GofvjmkqK6Z+TvCVT1gfqY/PmODv24Z09lv/NtT9zQkF8i H9Ser4p7pUKk/Z56NJDbC3i//qDUPHRporDr2ufUnhdLl6a3BNm8xD6j2PbhUVpSqXO5dz1XaCvr VTLW1PG49u8/dJYB3y1ZV8VDGaurOTFHbM9w8LszNewcJfSOtJJGrxwl27QXTInisSBZ8rmqEyna zgg3kP3un14Rdxgs+gXNf7YgiPrZVbR7jUd5vMQkZOs4m1Zc5gYMOS/oG7YMPRBIvxIcB9+NBfxW KUA5y5vnQ218Ab8PrFoq4woMRAqqyENZJ6mr9KZ7IEFDKbgQozJRLJV0T25Ue6WQjpuphXSfdAeg SrvfL3PCXgFK/b3NjvEsToClH2htDK0w7dSg7j1vi8sjRakloX+Y/a5B5Cmk6V8QFnd61z6ZlFdx dD/kEMipV/OZZS+zQE7l7GkgFnSrixxzapktisgEa3Lu/AZYP+lC1vqTuEVIFhOBmGUbja29VCx0 7J1YOS8nCtmO7GC7HmMtke/QJw4+2EnkBxLtp/u5W+Z9jXbkoFFTQuX9UQREt2daKEVn6mLm7Zc/ V/2Evni74KsaJtpL7sUxc0y0u9K/Gw+Oqj1zd07jFAKSq3hIQGGiD8SIRLvQuWVvXLs1B/9Q6Yqz Z6qh/cqebvWiIaP755ItwjTzUU7vPxaDi4aabH+evWBz0/jROsrp2LBIhAeiTo6q6aneYKIma5aP IykVOXmEvLHJvMItVscEJ2zI60IhZ3iOeYt1zuuagrXtM/Ftc8vLdY3DbWSlrJi+c+X9I1YV27Ny PzZMl7eOb6yQN0/GRXed146PtzWuyE1SFXTpHV5f5sg2uXn7JNEsxWHvBm+2GNL17UGqvGY8cQ2c XPulpI/6Y2Jwa2TEhi3EpTfU09QdluwKKgEz65dJjMH9kZ/epUigRz1jOaqDuoI+6/CjR5pTmdxD Y9c93EZUbsRk6lpJtQu6B7P7b/T2L3Oux0AmdHOr3RfCLQLaOwaU6TOMWv2K46WNgNsHpdZvh4E/ yLO3ObNyTI/Au+Ng14wGx64FmydWkSm5Vdaixhi53uoRJdQ18Ot9f4pNQyFDUPCvtZZvBdunkHDe KXqyRd05JcJoH/t0DkeQ6XI7UVzVIN52hukebKmyYMP0XupqRs31W2r3FYu3oUp+uZcojt5Oc6fK R+/Ebbvi2IXOzd8mClcOwxqYvWDnJ+2ZHrP7I8Fxq9IUqAVyVLk6c2pF0otfdA5NCaIk9QLGFPe3 F8DUpbjVSutLXMVOPs5+SeqhKFXs7gS0i0OZB4xLXDEPWIA4JhkQ+yPsWWHgsAhYY8vkVgMeVVve +n9TNmwjFEwHMufB/sXhBTvNwHYaCgvfAJ0NQZQLi+uigTGi0yw77MkMhbTFO4nikkasTpTTem+x OL26lOpvl7kPfYYr1svO5pH0BEtzqWf7/TaxTkvPx590mni8/4b1EcaPEySVNinfy5qA//cTxXWN vk3w3yUrBum58OBUEw1eVMVy+eBLEKT2Jjc2uCinD5Nn0v8+5AW1nu65nIGMO0+zvGsN/2WihWej F89u2PZd48rn9WgTpIzpis72zH0E9OIc2JcaerEZkKrs+iu5Zuiu1AWYrg6wHAHWnmsN3DOZNRF7 ZBbXBVFX27h9P3irBMANU9hKKLJHuw869Ku9EfjP9oAbx1RzFN3gbJ4CxjCjmMR35d3Evt6eJhRA 6a+D9AKBtsbNHe7U7bRi7nz9wI2bpI8rNueRcUIQuTSpN/gTMgBFEQ4eA0dBDvbhOQOUS6SMmure dtFTS2tfj49RHwtYSd+QmRREyUnAP01G5uVK1NNG7TugALuzdy7Ab2IbFKDOSF/TEuPoe94AxQ9j 6JkFfVCPKXeGcSELT+zJfJTT0Xa8KaZwXawXSLSDyaMop1haI1YcDtDAeKwtPrvtPEW1t1hIIBo9 LI3sUdyHvgiGHNXLl7l5QwxGKy7dEOlKqvdIZAvnjfOFlkd2+g3dK/cSrii5bzwPvfh2eTVvQrsU FCO6PFivo4t+644837XXotYjLHmnFx7qrltz3gJkuPmY5PMLXVQhD7M1twkgqOg3yjeZ0nl3ibtq QQBV0V7l190yyv0G+bOWYvCn/r35W/+pmCMdkfybczeE/RRa6gLT2kgHUqCNePhWoITea5nYKKw7 1arMDG44eTpqZ6GpniGoqXylJiclqFE73Df2XyKdq1R8vf13aiCynkgp3QtLZcESlRh3Kv+uJLBx rVQsNFUMutNG+lhv0CmxMoELmcUUmsoEgaIsWwn4srhTyX3tG/DsldSkYK9MJzKWlpNaB2HrOqyk pcoIU6XXQaDqvA+THaMG3cVgw5LYWyGmXVMPdu4ovKl8EdRxZjKT71KGvwCUCID5Zedr/n3ETxKx NF9oGMJ+dZBtAYi+ae6QTfteZ09YqkVTWRwk+ZxCmgtZXxZJPJPwDL/QgpmBvLw0igjEwQWxXgwI yncjJdkUU1HJN8eDD/9R11x9Cf/fysuMctJ9MSI8EGCI9Y13O7Fjl7+tItSJ/a/NOf9d/0NtKgku 7rO5cUbOmEVvtvlBfuLZWzNr25PlqHSns8nN5DGvqNKOGuKt6Dc5xvs2LUrsyiMSNvimuKQEpht/ lV8VdnNm2XiYnFe8Z3OkuA9LSB279fNLftAM1BH814uxhzrFHRy70T918JtrvDjJPMtRY0bx9NJQ ya5DYaUvSrbXlG11PxQbBC8tf31M0Jmy2S47rkPd2ho7+3hs5k/5x1vmDdOrTuESenrSLi90hmL/ kpFvlmOg5dd3AbVvKir+iWUdeZ9rrsG7i0ZNs7AScPithZbZCpDONbovR4+0qfguvQlryZ/OSx3f mCIGPiQx1rnh7Hwd6v4k1c0qcFESM4jPwAItu/X2ZycoyBdZ0sepX09nG/owHcpetB7FH/Cw8CNT Sknn3esIx4y+c4+OjPg2KiR1kWrpcqq4LLkLd+imPnL/57eBciJMbI9RWdvdNDDtubSyjqJ1jrzm qLCl7EaeKkVZf42oHpj2WKpzZoyUHDFgy4zSzY+dXjXOl879zAb11ES8Sfx6d9DD3nJu1m98+K3d /35pIUr7qlfeLjnzf17p3Jw9naodSdC/AFBLAwQUAAAACABgBzhAmEW3CKcMAAAJDgAADwAcAElt YWdlcy8wMDA0LnBuZ1VUCQAD+7QdT/u0HU91eAsAAQTuAwAABAECAADFV3s8lNu7H8cw4z6a2Hsz LiGS63ZNYwy2S8olhRDbYKeImkblMjPU2xZtRSfXbVxKbUIx7hlGvUntkkRGym1U7pchjFGY35r9 ++ucP87nnL/OfGbetdaznue7nvV9nrXmea8d9nSVk1aRRiAQcm4HnI4gEGJc0Q8tDiQHpT3LQRN9 2N3HGSH6UBAIBoJCQVBYCEY/RTQGAwaFAr4sCmuW8c80A8FgiKQsRr+QRUGwwBwDwepnsWZnWbPC fgain0HpFwpnWZR/C2aFQiAFY9AAMRh53/a9Dfzxd3Ny8IkvXCi6cfFzk6JL0fm4rAh2zEJDo2pz bXS7ED9w8+/gglynHflwTyq15+XLl47m3G+JLgidq9biB2KPfvuPJz8g06+QzmEM5aFOB+Y+tDIK /qTpj/v/FmZpCSSjnniTHQ39L5POySI12nHH4Z5kp2eQtSSk8VhduLY507NVy/Vgcd+PaWQIkzaG Sn9XDBKXhHgV3D9+PtVbs96Gei9TdUqEPaRjqZx6LDrr2aOfRoVf1JrcVL0cYAkUHJ0V9fRX06F7 ieiYd9uEQW3lMH8/Hnny8bpca6ejLNovImhAyz/77rD58R/SfVcfGQRW12EKs2I5+CBB/UKH3vOs jPv+puM0qrrx5gf+ONZkTL00HIZqiSEqgdfc/1SqI1fQTITLz0Ob/QffpEysWLB2FJqdczSMnuz7 mmDVtqPIzPxR7F+JqXO/qF4dCQs1R+dGrF0JQFp3H9yoztB6RME8eL221btamoPTX9F79nS/wfe7 H6o+pQLVorVZtYGQy9yDH/qLU9eOaT7ybGqcmslZ7jhTSy6K4eDZZkmDRsrVtY0EhbkaR3JK0Mbq +mb6Z2A6Lj3UFbeVgq7GIA1iJydT5mq8VC6mp8jMV47qa4qMjC+RTlhphHSH3wI+jcsOZdYoO/yD e3WEg5foVGjtfIrS+rjCVL/EDRy8QGtMS9cA9ru9J1rVr3D3pgXYed1xA+qmelEbtuk3RHM2tRx8 53ORIQ5pUL/+LuVEfB/zuKH7PR/eTg3ivLIMFp2rm0RdJfwiEuOuEdoD76WJDLUrAGgGl6KDC+mu 1xHFpG+Zo+WxCbT8G6b0RZ1o3mDDVChBAkon9ReX+4gcLQr3YR+tFIQ2D75xYFqU9TxwIF/4MZeX qIucQsGvBhcyy34XOcgOe0QsOHFdw+5ph/4C8+GofvjmkqK6Z+TvCVT1gfqY/PmODv24Z09lv/Nt T9zQkF8iH9Ser4p7pUKk/Z56NJDbC3i//qDUPHRporDr2ufUnhdLl6a3BNm8xD6j2PbhUVpSqXO5 dz1XaCvrVTLW1PG49u8/dJYB3y1ZV8VDGaurOTFHbM9w8LszNewcJfSOtJJGrxwl27QXTInisSBZ 8rmqEynazgg3kP3un14Rdxgs+gXNf7YgiPrZVbR7jUd5vMQkZOs4m1Zc5gYMOS/oG7YMPRBIvxIc B9+NBfxWKUA5y5vnQ218Ab8PrFoq4woMRAqqyENZJ6mr9KZ7IEFDKbgQozJRLJV0T25Ue6WQjpup hXSfdAegSrvfL3PCXgFK/b3NjvEsToClH2htDK0w7dSg7j1vi8sjRakloX+Y/a5B5Cmk6V8QFnd6 1z6ZlFdxdD/kEMipV/OZZS+zQE7l7GkgFnSrixxzapktisgEa3Lu/AZYP+lC1vqTuEVIFhOBmGUb ja29VCx07J1YOS8nCtmO7GC7HmMtke/QJw4+2EnkBxLtp/u5W+Z9jXbkoFFTQuX9UQREt2daKEVn 6mLm7Zc/V/2Evni74KsaJtpL7sUxc0y0u9K/Gw+Oqj1zd07jFAKSq3hIQGGiD8SIRLvQuWVvXLs1 B/9Q6YqzZ6qh/cqebvWiIaP755ItwjTzUU7vPxaDi4aabH+evWBz0/jROsrp2LBIhAeiTo6q6ane YKIma5aPIykVOXmEvLHJvMItVscEJ2zI60IhZ3iOeYt1zuuagrXtM/Ftc8vLdY3DbWSlrJi+c+X9 I1YV27NyPzZMl7eOb6yQN0/GRXed146PtzWuyE1SFXTpHV5f5sg2uXn7JNEsxWHvBm+2GNL17UGq vGY8cQ2cXPulpI/6Y2Jwa2TEhi3EpTfU09QdluwKKgEz65dJjMH9kZ/epUigRz1jOaqDuoI+6/Cj R5pTmdxDY9c93EZUbsRk6lpJtQu6B7P7b/T2L3Oux0AmdHOr3RfCLQLaOwaU6TOMWv2K46WNgNsH pdZvh4E/yLO3ObNyTI/Au+Ng14wGx64FmydWkSm5Vdaixhi53uoRJdQ18Ot9f4pNQyFDUPCvtZZv BdunkHDeKXqyRd05JcJoH/t0DkeQ6XI7UVzVIN52hukebKmyYMP0XupqRs31W2r3FYu3oUp+uZco jt5Oc6fKR+/Ebbvi2IXOzd8mClcOwxqYvWDnJ+2ZHrP7I8Fxq9IUqAVyVLk6c2pF0otfdA5NCaIk 9QLGFPe3F8DUpbjVSutLXMVOPs5+SeqhKFXs7gS0i0OZB4xLXDEPWIA4JhkQ+yPsWWHgsAhYY8vk VgMeVVve+n9TNmwjFEwHMufB/sXhBTvNwHYaCgvfAJ0NQZQLi+uigTGi0yw77MkMhbTFO4nikkas TpTTem+xOL26lOpvl7kPfYYr1svO5pH0BEtzqWf7/TaxTkvPx590mni8/4b1EcaPEySVNinfy5qA //cTxXWNvk3w3yUrBum58OBUEw1eVMVy+eBLEKT2Jjc2uCinD5Nn0v8+5AW1nu65nIGMO0+zvGsN /2WihWejF89u2PZd48rn9WgTpIzpis72zH0E9OIc2JcaerEZkKrs+iu5Zuiu1AWYrg6wHAHWnmsN 3DOZNRF7ZBbXBVFX27h9P3irBMANU9hKKLJHuw869Ku9EfjP9oAbx1RzFN3gbJ4CxjCjmMR35d3E vt6eJhRA6a+D9AKBtsbNHe7U7bRi7nz9wI2bpI8rNueRcUIQuTSpN/gTMgBFEQ4eA0dBDvbhOQOU S6SMmuredtFTS2tfj49RHwtYSd+QmRREyUnAP01G5uVK1NNG7TugALuzdy7Ab2IbFKDOSF/TEuPo e94AxQ9j6JkFfVCPKXeGcSELT+zJfJTT0Xa8KaZwXawXSLSDyaMop1haI1YcDtDAeKwtPrvtPEW1 t1hIIBo9LI3sUdyHvgiGHNXLl7l5QwxGKy7dEOlKqvdIZAvnjfOFlkd2+g3dK/cSrii5bzwPvfh2 eTVvQrsUFCO6PFivo4t+644837XXotYjLHmnFx7qrltz3gJkuPmY5PMLXVQhD7M1twkgqOg3yjeZ 0nl3ibtqQQBV0V7l190yyv0G+bOWYvCn/r35W/+pmCMdkfybczeE/RRa6gLT2kgHUqCNePhWoITe a5nYKKw71arMDG44eTpqZ6GpniGoqXylJiclqFE73Df2XyKdq1R8vf13aiCynkgp3QtLZcESlRh3 Kv+uJLBxrVQsNFUMutNG+lhv0CmxMoELmcUUmsoEgaIsWwn4srhTyX3tG/DsldSkYK9MJzKWlpNa B2HrOqykpcoIU6XXQaDqvA+THaMG3cVgw5LYWyGmXVMPdu4ovKl8EdRxZjKT71KGvwCUCID5Zedr /n3ETxKxNF9oGMJ+dZBtAYi+ae6QTfteZ09YqkVTWRwk+ZxCmgtZXxZJPJPwDL/QgpmBvLw0igjE wQWxXgwIyncjJdkUU1HJN8eDD/9R11x9Cf/fysuMctJ9MSI8EGCI9Y13O7Fjl7+tItSJ/a/NOf9d /0NtKgku7rO5cUbOmEVvtvlBfuLZWzNr25PlqHSns8nN5DGvqNKOGuKt6Dc5xvs2LUrsyiMSNvim uKQEpht/lV8VdnNm2XiYnFe8Z3OkuA9LSB279fNLftAM1BH814uxhzrFHRy70T918JtrvDjJPMtR Y0bx9NJQya5DYaUvSrbXlG11PxQbBC8tf31M0Jmy2S47rkPd2ho7+3hs5k/5x1vmDdOrTuESenrS Li90hmL/kpFvlmOg5dd3AbVvKir+iWUdeZ9rrsG7i0ZNs7AScPithZbZCpDONbovR4+0qfguvQlr yZ/OSx3fmCIGPiQx1rnh7Hwd6v4k1c0qcFESM4jPwAItu/X2ZycoyBdZ0sepX09nG/owHcpetB7F H/Cw8CNTSknn3esIx4y+c4+OjPg2KiR1kWrpcqq4LLkLd+imPnL/57eBciJMbI9RWdvdNDDtubSy jqJ1jrzmqLCl7EaeKkVZf42oHpj2WKpzZoyUHDFgy4zSzY+dXjXOl879zAb11ES8Sfx6d9DD3nJu 1m98+K3d/35pIUr7qlfeLjnzf17p3Jw9naodSdC/AFBLAwQKAAAAAABkBzhAAAAAAAAAAAAAAAAA CQAcAE1FVEEtSU5GL1VUCQADBLUdTwm1HU91eAsAAQTuAwAABAECAABQSwMEFAAAAAgAZAc4QPui OmP3AAAACgQAABUAHABNRVRBLUlORi9tYW5pZmVzdC54bWxVVAkAAwS1HU8EtR1PdXgLAAEE7gMA AAQBAgAAtZPBasMwEETvgfyD0d2Sk/ZQhJ3cArm3HyDstSuQVsJah/jvIxuauDQ1xOCbVtp5M3NQ frxak1ygDdphwXY8Ywlg6SqNTcG+Pk/pBzsetpvcKtQ1BJI/hyQKMdzHgnUtSqeCDhKVhSCplM4D Vq7sLCDJ3/tytLpPkwR7Fv22myR5eNbaQBoZbf9QWKi0Sqn3UDCCK4nInwDrzpjUK/ouWOmQopgP C+LwGll5b3SpKGYTF6z4WJBPe/HB/Lmx+K/gqynm+wXqDYRF9ebBFkgtwmqrGhAem+fc8/AcRJZl 73xYWg3/ti5+vy5+twg/Sx1pufjzmePtDVBLAwQUAAAACABmBzhA73yg22oBAABAAwAACAAcAG1l dGEueG1sVVQJAAMItR1PCLUdT3V4CwABBO4DAAAEAQIAAI2STW7CMBCF90jcAWVb+SeBqmAlYdUu 2kU39ADGGcAlsZHtNHD7xk6AoFK1UaRoNN97b8ZOujxW5eQLjJVaZVGMaTQBJXQh1TaLPlYvaB4t 8/Eo1ZuNFMAKLeoKlEMVOD4eTdqnNVCWdf0sqo1imltpmeIVWOYE0wdQZx0b0szHDU2OpVT7LNo5 d2CENE2DmynWZkvixWJBQveGL8QFPtSmDGghCJTgsyyJcUxuBH7q/87o2R8Taq0vkV7TLRKCE0pn pKt7Sb/l4HSTKPet82n6iLxj00IwYYA7bfJXXq1rxd2Oq8lbSgadng2jSSWd5CX6RXWXuWYV3EGe 0DhBNEbJdEUpC+8DfWRTGkIDMkwMLu0m6C/xHXroswUFJszzbrboCc8xnZLniguLkhmmeJHguDe5 okODPZwabYq8h87ldTtbrz9BuDzscS6ubSddCbmVBaD1Cfmvv8EAd632hyfDO7pUN/9/i30DUEsD BBQAAAAIAGMHOEBtxPsIaBYAAPv2AAAKABwAc3R5bGVzLnhtbFVUCQADArUdTwK1HU91eAsAAQTu AwAABAECAADtXeuy27iR/p2tyjtwNZXUbtVSInXXiY9T47E941qPPTvH2fxMQSQkMaZIFUhZR/Mr z5JHy5MsLgQJkiDFq0hpj13l40M0wEZ/3Q2g0QRe/fl5byvfIPIs13kc6ENtoEDHcE3L2T4O/vLl vboc/Pn17//t1b+rqvIEoQJ9Y+Si7ejXd9+//fmdsnGRYriHM7K2O1+xHPz7Hvi4LUVVSTV3s7EM +GC6xnEPHV/1/LMNPQW/1PEeWOHj4IicBxd4lvfggD30HnzjwT1Ah1d6EKkfKIvsCW2saHVKLNb2 4bNftDKhjdUF6+JvpsRibROBU9HKhBZjIVbfuEUrP3u2unFVw90fMCgJLp5ty/n6ONj5/uFhNDqd TsPTZEig1Ver1YiWhgwbId3hiGxKZRojaEPyMm+kD/URp91DHxTlj9CKLDnH/RqiwqIBPkih6n3b FtaIb9sM0Rg7gArrBiWOwzsxi8M7McW62Hh2GZgsRz/jQvrPzx8jXUD7ou8itDFRGcg6FO4moxbr u64bskoqMAOl7I41bTpivwvUp1zyE7J8iARyI5fcALYRStzdy4SG6fQRplDhN6KmnBqRTme2PBsh eHCRHzKyKe6gsHTGoXnt/L2dbV6klJNukWlKSTE7kxE2Nazo6jcLnr4bKIEXFDz2eIAdraJwV7tx sZvdAAOqJjRsj5bhUmYoYaHCfifdeRx8xn15Ou/XLuYIGwWn2lv2OVY4KtLYF7Bz90CXtMRKirXy g3tEFkTKJ3iStPRHcHC9Pwk07MFAiTVJaNUtdCCysCrtXRMiJ0ZysHwDW9vGeoZmMbY+PVn7p6Mj YSkqaZmFLxbWQNJn5VcsTRkrTBgJugISQkF7Ke6+AWSRMawYg99jYpki8efZDHgny/PqM5CJUQGI vLPnw319HgJdzzSCRnh4Ncqxee4P2IwrzrMJN+BoB7Mx/p6AwS0Ch51lDIIaYZ3guXpA2PUh38LK ReYmD94OmO5JxW/zoK8+Pw604cTA3EsKz4lCHw+cKp5nQNU7AAPPctSdi6zfcGeATUjHy1zib4QN I02KHXPRVlOkkjYD8di4HyfL36ls3rgBthfpQiilA0CASkqUEysi9VRw9F3yLqwilgldRgrswy5U CcrOGkGA52aejxXC5yVkgCQ8EjfyOLCR6q9jSmI5JiSjEplni53izGJefxewiaekGHz34AkdGGX3 INlL2pVUB48exBJyCOCUH8O1XTyZ89ERTwI2LmPSs37DzOvjg0+f2cDZHsEWP4IOfWC4R8dHWFN+ fBNKBPp4YqB+xb6T9oY1KHSctKni4Rk4vOWgYtA4L/ttx0uCt/CCHz6l2yMzQxs+Z7QYlu6sZJth 0YdPka8YSQyvuE2GmKSsUqpvWIy782EHHboSU21g4nFHpfw9DhwXK8feCrtUUC0PR8fwj6zBEy7G PceywHhc1luubKppYSt2yEvwrGWmR8YV1+wDFnDasironABpxtjZplaSV3IFk4w8TSstfV2oe5Jh pjmtFhUMcu+S1DoE98ByVLI64qo3ThEdjt4uQdKQydBFd8pc6FNRi9jafO0iYiFE/bDnxzpkg4NH dLtJZlTknjIYwiUJ+/0K4UH13S30d2RBTOzzIjNBKYnUfD76xB4VtqDGPWHhGFpOYxkuI4hxGywG 0DaoLTAbq2Pj5ZQd1KQF9AFWKa4z+K2qd8TTD6wuQ0V8ysJDhFQYjGzsFoJGRWRoy0KR61lUZwAe s6mv4gMhWONiYFtbhyzGaMuhfIUGEnTBC+jDDUbcPUFTXZ+Jg/R31K9hGKjTseiQ+jhQteFiPiZe C5fsAcLeDze98clcgRWMaK9GOd0ShtssmZaU+riM1FlN7IcPNjizJj3SxC2ioQ81fS5Dgxd0gcak PhqTG0VjvJCDQZ93gcVUJvUbFe5sPJVLlxV0Id7ZHYl3sVjKxcsKuhDv/G7EOx5qE+mwyQu6EO/i jsQ7XkrHQV7QhXiXdyTemdT1Bs+7EO7qjoS7WGVIlxV0IV5duxv5TobaVDqy8YIm5ZsgSCxL2SvS 680nH4sHIHOQWDNHMS8eibCBh6fH5B3JGHy61Z8gMIXgVGaj+EGYlqDKGXKIREWCL/jB38ba39au eZYxVzRGFwDiuweygpyOJ3Gg1q7vk31NbTjW+fBJwwI0Cu3QKDSwT+DsFQ2WCZGwYDMmEf+aRjGh 0iEsad0S8ShSPxnhkIRZ0lDL4OBrqohCEYvrqENtpPNRriSCj9hwq/QtR5OJL0hHq/LVKgm3Xq03 P4ADcZsNgoXZRqCiXUbGl2WX1OuxSBvdd/HCkGgwImBnyDNbtMu2mhGTZs9IjceB5eNBwSgUTo6q 8VJJZTl4xYLHwgvC8uAVldD/gMeu5waxt2h7hbBvGMh2rCMY2YjZ6nJ3F1AoehUpJgbOQoMfD0TH pgZCPDjPZV7Qfn32h0j7T5BkGT4O1q5tZis/rSIUslq8WF430uyM2iEBrV8XuHE+cOOOgRs3ANw0 x22VwzM5sbjkzMrhLW896cla14hJvkZMOtaISdMaUQ36etC2Atw0H7hpx8BN6wO3FF1wHUteJlxr o4Ysb/zqdjzLV4dZx+owa1gdKuFeC9dWUJvnozbvGLV5fdQWpVFb1EEto3KzqC3yUVt0jNriBTUZ ast81JYdo7Z8QU2G2ioftVXHqK1eUJOhFu1kZEQItI5xixh4AS4G3NC3fBteQC9OVAFCFkQqGhdl mcJkN+pxYOAWycdarMbfj55vbc4qyZnE7zi5yExmyJcL6dfsV6ZqPh3XMZkFWmfswIF05yqSKLpe XpZfLy9rrZczajeg2Z/RtjKkrGKTOy3CLktBLMaVN6eSCte2n+2zQueFBLM0umzwr1J0r6pO1wE3 rNuxZmtNbLuSnyznQD5ihRuwSpyqob3KKnuxPHF7ulrFhYmYo+UijuVTaNEnKyQjX40V1hjvyP4t 6duHHBkSGuVDv8Q3G2qaXlx86nQ4uyzB15LP1GIZMvwp72yQZhPpf5jQItYPenf5K7dSyL23EIOO zGovmQElVuiHGX2zgxI2wE2mBTv4iX1SdkmOAVnfhFjGEgpK8aZs4QnYRx80nLpRHI5qu/flMlPw wElOkiCqk5idxTWUEyo18tASVcunM9Qx8suq2XLay7z86mdea/WTUbuB1Y+oNRkpG6G+VMrZiKXM 9E1PqrswfRG17p8PuKOUFf7IxvaBVS9YSJh4DgzNRJlPkySH13aEIuAZqR4h4JVyPZoGvPFZcA3Q 58OZpt8B8BkZHSHwlVI6Ggd+tVr2B3hNG98B8BkZISHwlVJCGgZexxbfG+Bn2OIndwB8Ru5HCHyl 5I/GgV+tFv0BXtOmdwB8RvpICHyl/JGGgR9ji5/3Bfgptvh7AD4jAyUEvlIKSuPAr1az/gCvabM7 AD4jiSUEvlIWS8PAT7DFT/sC/ARb/PwOgM/IgwmBr5QI0zjwq9WkP8Br2j2s47NSaaLITaVcmoah n2Kb7w30Y2zzyxuF/n+OLgtle1VQzYhl0zN/G9xaSDzN/7w0CvFcZUvzFwTZl/MYUmI/ZMdFbkEi pSKSdSTx2jvsAffRx9axw4wTcW4t55Nr2ZnCsYi3tHIYsY6foZxoIgp8V84A+Iy2/wuRVyn9Qaoe RYFaA+PrFrlHx+TnPX5naOQvle4BmOz2Am2oTbnOsxP+6DMd+yTFc23LVL7T6B/OJzutlpyn4MQc n/A+aw+2sNShqUmRXhbqe3IY9F8t09+9sV3j64t4WxXvR+D5H8lphxXELAGrSWczHOs5JwIUyE9C RhNd5M30qm8/xLLUKu/9XyVBrnSuJDkUlE8sa3fx4lkp/I019qqzmK50/kIlWbe1HZ259Xxhd7nU 9nE5gD7iKWEdkDjOVfCwhXe3pfkBf7+KK4Vr9zO2TGm5o9VdWRM9re3NSvqzutobupi+qi9nsLb+ 1urpVRSYc1hfg2v1teWPURKJzqKrz0pzjg0HNfMS8/P+K41jleTw3nV9x/WrZbs3eC5TpZyVogmX LWe1JRfsuav5ptbp763tEVWCjZ/EdXEK+cG2sdUhGjHjiezPF7MkxVo0tf35JV/yJV9yQAeEOup6 9cVHtWT38FYiYiji+jyR7R7SKVUX8XWOtGw8hBp3xMHVG1T7TySMIhDSfDAF/5zM2E+NH8UXBaFi AajAcGmASXgaWG7yMeUy+VB4+wSzqZjuEWuj8t1SI3/LWjFXHZcKgMXIKn08l7Q20ZClZaEdzqsO G+/2hx258zCpcOU+0Sal8i/1qPrlfMlHyxv5VO8v2BEjW2I7hboiPD3yhni/aJxzICeh2hxc3SKn CKKrtLv0/wN5+BX7L8djZl3xK1QfWV+hv8Otbnd1hUBZD9qKy6Eab+4RGTB/i4jRSDeHSnCfsyOT L/My+zPZWzDVvh2w5F/U3J4RvnsGpJX/Z/iRSLVrynudM17HbWL0Ona505t3P3749KDgppXvtxAP 7MoTqesJdzzlsPPFNd2q2sS3gzYbuq9TVSJv3YquWGBBw6NxDRa+gNQaoygHku0xPBtZwnmNsxH2 0POxedQVyhqSv/X5+G94JtPbuuzMNisIamDE2fkrnmke0vEln9vGZbDRFspHjrA6Max3n95mmtWF t7yRBHxK+ej68ZlP/K434jfYjc2efDgNKZUEWTnJ8oBQ9D756zidEieq/jLgGDsXXXhZnKjqZCdK Z/KOuFiZLf9Q47gI3AK7Rr1fbK2bZ2pdnaUPZNHtQP5V/Vc5zpxKEUmqDyYaXdxtxKs/f3t+jt/9 6QjD1pWWA4wudSXoc5QyGL8TVGQxfaunpF5YRmtWwutHdjF0yomUuEiaLp2ZwaosTVCManzbPjzz EBv+/zkWbmN30Yr95lc4E33EquAeUgWIHD2WiptEt0SzmvHoj1CaqF4tJovwj2tLLB1DH2cd35Eu 4dchJJ8LGR2ansSFMGXbMPT5QeDkRAd0Uw159tL3EhMarJ6Oj+fCYYylGsK0GWEhUBHpqJl4GpQ+ S2dB0chVPAvqwv4pmYDg9Qi2RuUDyYLy8MNCE/q3zC/SSlkalb3UCK23ttL13BwvC/IXLMCOpLiF MlPLtjTB0OLy3VumaadlH8go6lpZ6QYMFlpnC0RRqXEmW1haeHZiLBkweLa3ECJthjFZw7awJBA0 /P/ADuy/lNg//zlQTAROD/ZxbznsWnHSPH1GLBUBzxceIWgKv20RhI7w+9o+ivW3YL8HnOGgRdxd 1XKwSD06xwk8Ei2kaYuqewCG5Z8l1di1Xx6PwpfKfUxr0GU/EmyEQDN0JYU8SVjtClbACrB28YkR E1quiym3QVcwnZtzcnR4UJNMwRBkqBT1axvk7tX6IxFtRkxSKTsYJUYikeGYxVX3klQ3Ak3JncVk 6wmrVnfAaVMbuh/GLsPawEB34zAWHCEvgXkDY2YlG299mPngkHVrOMgUGmNYnU6mWcBTjR1AJS16 DTwo7h22NC+N5Km8d9H+aINi8gyIG11KRoKqt3gsa2zirkhToxUV6QUh5bi4oGI9MV5LdLcgpmo6 QefSLn4f+Y8KvANeEpAL5qr3OFg1V+6yYHqt9bq5OWLz8gs6f6UZROkJXHeibnHeFq7PrqS197/e qhf5KzoRq2p+wpzgC/C+lpphkQo1kmkTqZT1ctCD10fpG/T2aT11GLxDPlkVbqWuvycaE0fbTqrt jYo2lFmSzLDBf4xQIJkLk9SyRBYHH88PftMfA5ddqQR5mV6Aakw/YnvmGWezRrvl4lUpUav0Khuu MZQ2SAUNb8Glv4oqlbdVj5tQveNmYz2TYy+Eh+yDbtKgIC6Bg+RcVCwKdmZVgMWKITRgEJK0wRoX 03TnPVGJ1+LJHkIDCbrgBfThxrVt9wRNdX1mt4b7YD0QOOBndQjbw5mHUaiSrzrin3vEjgGRdl7Q lzyMKiA5fkEyiaReDkW9YwQnLwimECxvi3oPbHH6gmQSyXE5FMcdIzh7QTCFYHlbHPfAFucvSCaR nJRDcdIxgosXBFMIDmclMaQVukRx+YJiEsWpcEFVQRx5lS6RXL0gmUaypD1OO7dHXXuBMQnjrLxB zloySJEoFkzMCxjxm/oyYkX0kr7LYaL10bahH1eWwrpCyVgLdH/xcfCvf/zz5hUDw5+lFhnxoKIq 8buiUenPB+gEn6iMLqoSA6AC0MWjSPcK9DLbA8ihXha3/56BXTzgdJ9g60M9e0Urjy3pxdezPQO7 eEzqXsGel4N6fqNAFw9d3SfQmZHGWnHGnoFcPKp1pyAPp+XGaV7hFsEuHgC7V7AX5cZpXuEWwS4e J7tPsCfDUg6ckd8i0MXDaPcKdKkJ2eRmJ2QlIm33iXRunLt2lPsKaMuCcUIWJMMSmgoNsEVpkHmh us9oy6uRWhVztxqOzDJVWZPbOcj3psP5hIa1admeoEM1IPgkkhdflmWdnKZWe6gPx4tOOzhpvYMr rVsIpy33cDycTTvt4KzlDk6G+qJbCOet93Cpd9rBRcsdnA6n024hXLbcw9mQ3aXXWQdXrXdwoXcL YXSDY0tdnA9bGO0vzJze0FlW6ZkTr1Zo5lRwO5O1eXnfu84UvfL8KmuOy79F4d+LPPkAJc6xo+d1 YT49iDXjWfU62UK8vnCLT+1uSbayHbsuZFt4VnlLwpXtkF1fuMUntLckW9mm1PVlW2IufUvClW0G dSHcotP4W5KtbO/l+rItsYK4JeHK9jquL9zii5dbkq1se6EL2RZeN92ScKUh/etLt/iSrWvhXlgH voXskGdy1Va5paBQs5E4Ol9D30PEvFZf+hUbr9mVXkXBa/WlX/HuWl3pWWS7Zl/6FMOu1ZWeRatr 9aVfcemaXelXBLpWZ64da74wiXhCxhvbNb5GO/IObGwm0erme7LYtMg5zvS06aEeT7oIro2Ejnn1 CUibu/O9k4B03tLq9n3vRCCd7rS5v987CUhnSa0mAPROBNLJVZsZAr2TgHRO1moKQe9EIJ3KtZlj 0DsJSGeArSYh9E4E8oljm1kKVxHBpfkmuejNI+cZbsgV9+we+bBADS6w3gQ3wgUsG8GNqvx9mVfZ xanJQZeZVeJ3zcUh4FFMgHz1G2DXjAQPOWeekMnLjo0X6jg8jVkl7ZmucdzH7gEuLggMAJNDmk1L zmb8JeQczYgb2csyr8V2Nxsa3Exc/i2TVNBIJBF2/i4tsxwDwT1NbJ6FzAlBTnJ340/+3iYRVWtz Tt2LGpCyl2euU2pc5RhdKEeuSM09s7QQL/jfj43cb3eRnUtCIYu3KgfJ/oIgQ9iHZnihbZL1rOvk JaeT8lNE40ePalP+9VJ09uhMb/7sURmjzeFAnr4aYVuxjOAha/xV8IjcHYglaRmqUCgIcQuxMz67 Rz8G4M+HvS6ReEic4JWWBM5+rAvfFdCCXXAk73g1XGTacfAK7CZ81UUWVgkQODcX+QhYfuq8aP5B UuK86MTj6IPS9CnU44ibE8KeA3uo4IMMpPrraKuFeVx1D57DvpBDegUtCGk8eOAt8rFP05fRe/iQ F4ychF4Y/RI0YONjryYjAebfj57PvJp41rhwN9J4Ft6blbADmYrKkE3iv4PAJPyQX0bJQiKBZKGk +dcxfZUqJ9fcPfDCFhNqGxSRdmNq+8Rvy1LS/RIUexTnIvmisIAPnFHR/wFQSwECHgMKAAAAAABi BzhAXsYyDCcAAAAnAAAACAAAAAAAAAAAAAAAwIEAAAAAbWltZXR5cGVQSwECHgMUAAAACABlBzhA fbKPepAMAAAGbQAACwAYAAAAAAABAAAAwIFNAAAAY29udGVudC54bWxVVAUAAwW1HU91eAsAAQTu AwAABAECAABQSwECHgMKAAAAAABgBzhAAAAAAAAAAAAAAAAABwAYAAAAAAAAABAAwEEiDQAASW1h Z2VzL1VUBQAD+7QdT3V4CwABBO4DAAAEAQIAAFBLAQIeAxQAAAAIAGAHOECYRbcIpwwAAAkOAAAP ABgAAAAAAAAAAADAgWMNAABJbWFnZXMvMDAwMS5wbmdVVAUAA/u0HU91eAsAAQTuAwAABAECAABQ SwECHgMUAAAACABgBzhAmEW3CKcMAAAJDgAADwAYAAAAAAAAAAAAwIFTGgAASW1hZ2VzLzAwMDIu cG5nVVQFAAP7tB1PdXgLAAEE7gMAAAQBAgAAUEsBAh4DFAAAAAgAYAc4QJhFtwinDAAACQ4AAA8A GAAAAAAAAAAAAMCBQycAAEltYWdlcy8wMDAzLnBuZ1VUBQAD+7QdT3V4CwABBO4DAAAEAQIAAFBL AQIeAxQAAAAIAGAHOECYRbcIpwwAAAkOAAAPABgAAAAAAAAAAADAgTM0AABJbWFnZXMvMDAwNC5w bmdVVAUAA/u0HU91eAsAAQTuAwAABAECAABQSwECHgMKAAAAAABkBzhAAAAAAAAAAAAAAAAACQAY AAAAAAAAABAAwEEjQQAATUVUQS1JTkYvVVQFAAMEtR1PdXgLAAEE7gMAAAQBAgAAUEsBAh4DFAAA AAgAZAc4QPuiOmP3AAAACgQAABUAGAAAAAAAAQAAAMCBZkEAAE1FVEEtSU5GL21hbmlmZXN0Lnht bFVUBQADBLUdT3V4CwABBO4DAAAEAQIAAFBLAQIeAxQAAAAIAGYHOEDvfKDbagEAAEADAAAIABgA AAAAAAEAAADAgaxCAABtZXRhLnhtbFVUBQADCLUdT3V4CwABBO4DAAAEAQIAAFBLAQIeAxQAAAAI AGMHOEBtxPsIaBYAAPv2AAAKABgAAAAAAAEAAADAgVhEAABzdHlsZXMueG1sVVQFAAMCtR1PdXgL AAEE7gMAAAQBAgAAUEsFBgAAAAALAAsAcAMAAARbAAAAAA== --=-=-= Content-Type: text/plain >>> On a related note: Could I place two (correctly scaled) images >>> side-by-side? >> >> For the sake of record, your request is much similar to what is >> discussed here >> http://lists.gnu.org/archive/html/emacs-orgmode/2011-12/msg00780.html - >> save for (dynamically-generated) images taking the place of src blocks. >> >> Try something like this: >> >> #+begin_list-table >> - [[./foo1.png]] >> - [[./foo2.png]] >> #+end_list-table >> >> Make sure that the images are "small" images. If you replace the image >> links above with R srcblocks or attach caption/attr_odt to the above >> above images, the results are less than satisfactory. So the answer to >> your question is a "soft" no. > > Thanks for this. For two reasons that does not work for me: > (1) I want to use captions on my images > (2) it is odt-export specific > >> >> Notes to self: >> >> There are multiple ways to achieve side-by-side effect. >> - use tables (aka "list tables") >> - use 2-Column sections >> - 2-column frames (what is this?) >> >> "side-by-side" has surfaced in the list for the second time, I think it >> deserves to be supported "out of the box". > > +1. And ideally generic enough, s.t. also the LaTeX supports it. > Beamer has the concept of columns, which is nicely supported in org > mode. Maybe that could be a general concept supported by all (or, most) > exporters? -- --=-=-=--