From mboxrd@z Thu Jan 1 00:00:00 1970 From: Xiao-Yong Jin Subject: Re: How to align table in org-mode with Unicode characters, like Chinese Date: Wed, 03 Mar 2010 10:49:58 -0500 Message-ID: <87d3zlo15l.fsf@columbia.edu> References: Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="=-=-=" Return-path: Received: from mailman by lists.gnu.org with tmda-scanned (Exim 4.43) id 1Nmqpy-0006fi-El for emacs-orgmode@gnu.org; Wed, 03 Mar 2010 10:50:14 -0500 Received: from [140.186.70.92] (port=47461 helo=eggs.gnu.org) by lists.gnu.org with esmtp (Exim 4.43) id 1Nmqpt-0006cm-Fy for emacs-orgmode@gnu.org; Wed, 03 Mar 2010 10:50:14 -0500 Received: from Debian-exim by eggs.gnu.org with spam-scanned (Exim 4.69) (envelope-from ) id 1Nmqps-0003s3-BT for emacs-orgmode@gnu.org; Wed, 03 Mar 2010 10:50:09 -0500 Received: from serrano.cc.columbia.edu ([128.59.29.6]:56996) by eggs.gnu.org with esmtp (Exim 4.69) (envelope-from ) id 1Nmqps-0003rZ-8m for emacs-orgmode@gnu.org; Wed, 03 Mar 2010 10:50:08 -0500 Received: from lattice (dyn-160-39-50-219.dyn.columbia.edu [160.39.50.219]) (user=xj2106 mech=PLAIN bits=0) by serrano.cc.columbia.edu (8.14.3/8.14.3) with ESMTP id o23Fo1gs027337 (version=TLSv1/SSLv3 cipher=DHE-RSA-AES128-SHA bits=128 verify=NOT) for ; Wed, 3 Mar 2010 10:50:01 -0500 (EST) In-Reply-To: (filebat Mark's message of "Wed, 3 Mar 2010 23:29:23 +0800") List-Id: "General discussions about Org-mode." List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Sender: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org Errors-To: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org To: emacs-orgmode@gnu.org --=-=-= Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable On Wed, 3 Mar 2010 23:29:23 +0800, filebat Mark wrote: > Hi All > I fail to align table which has Chinese, while English characters work ve= ry well. > Below is the sample. Is there any setting can save me out of this annoyin= g problems? >> =E7=BC=96=E5=8F=B7 | =E5=A7=93=E5=90=8D | =E5=88=86=E6=95=B0 | >> 1 | =E5=BC=A0=E4=B8=89 | 80 | >> 2 | =E6=AC=A7=E9=98=B3=E5=8F=8B=E4=BA=BA | 90 | >> 3 | =E6=9D=8E=E5=9B=9B | 75 | It looks fine to me in my Emacs. You have to make sure that your Chinese font is setup exactly twice as wide as English letters. See attached screen-shot. --=-=-= Content-Type: image/png Content-Disposition: attachment; filename=snapshot.png Content-Transfer-Encoding: base64 Content-Description: emacs snapshot iVBORw0KGgoAAAANSUhEUgAAAhYAAAE4CAIAAACIay1fAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAg AElEQVR4nO3dd1gTWRcH4JPQUUAgdAVs2Bu2XdeGXbH7rV3X7mIv2Pu6Rdfee8VeEXuva8e+dgUU VIoiHVIm3x/RbMhMkmEITX/v44PJcOfec+9McpiZ5I4oPj6eNNjZ2REAAAAP4rwOAAAACiqkEAAA EAgpBAAABDJlLwrx7af5tO2djTnXfOKCke/XB6e/fsfIFERUjWGI6K5YrH6sfqq5RItWeV0MFrsr FptWnl3p3hQi+lDF+f3DOIN18m+dLV/1XRh2tUzUqTe9xidee8yQlUWt5u5bNth52xirfoOjAQC5 jPsopO2djep/Odr86/HLU5+9LX7vbTWGUb8vaD6m3H2/kD+c/jEymYlc9/7RR6NXnjirzV2x+NXM o6qn+a3vRvG+YZf4Cw8KzQ6pnBRbfFrtiIYTs1Nb7oxGwszWmtsFAPjjdSIrxLffu41bzzUNONpw /LPLn4hIFn77Ro8JR2oMOtNj8fvwNFWZw3UDnxzdd6ruoHO/7lWteK/bqJPdNumq9q5YrFQqiehV BXf1H5h3xWLVP11rMdH/vO1Q76GN5b3CkmfNe35+/Fm1/GUFt3tmFo8q1o858VZdzz0b5+cdhiRH p2nVr7OrSuWnIcGfh+wkpVKzvGY9d8Xil5U87pmaP/CsELX+oXpVVYZ4Mf4gZ8WJs9q8mnXUdvrh kjP982Hfv6xSyDVq6+THbnb3LG1fDNwloO9xYYlE5DWqmXTzkGetJigiN6QsCnjs4XDPxOxhhebq Dhpsi89osElPLn9Vp+IDa4t7VnZPfmgVd+F9RvDfL3xL37c0u2dp+9i3UfSBl+zWY6J6lpjeKvG3 NsgiAFkWnxnDMMFV+6j/MQyjWnIyYGf8+xRZ3Kt70w4wDHOt4aCHx17KZdKPx7YfbrhYVSYt5bP6 p2rFO51HHO+yntEtlCiUyOBCzSWv3QuHEqXGpyniH4US3bGpqfpt/Mt42bNdoUR3LL2/rifP+PdI KNFd9y662mK3kjSi2uORlzMX/q8e1fLEd0my8L2hRHcsiqqWfJ7hH0r0uN8azppVv30x/XA+77s8 5lqoSJQe/zqUKNTMQUDf1Q09t7eMj04JJbpnKg4lSnqXJH9/VfVbPm3xGQ22BxYmX9qKuhxKdKdQ hfvmX5e8uxxKdMfcVVfr8dNbsbcRAOjHcS2EuK5//LToZ2tzMVHxyrOKE1H0Z2ntFiWIyL5FV8Xk /qoyFla26p8qVXctNn7Oe5dMRE/srVRPlUm3VA/sStgRdSbqqkwPl51ZHDZyQerTd6q/9Jl3u4l2 8qzfeuY8D6rxcgkREVc9RESFXQsRddK8evFq1lHz9n+WWTeQu1LVIY1IJKC/mnK672JJbVIqze28 iYhkn55XKCa478kJGSUlVkSkkDNEVMi1ENEPWWmLb8yaZBmKr239pBmhagkRKaUfOFsnIhGpto5S QLsA3y3uFMJmbZ6/PrtVlWHU78fscx2vOkxIS5H5RKcUcrLK0pkQIhIVaaS+/pulevQkCNuZh0tS m1ezWr+iIyVntMpSPGw513ctKU+iBPe9sJ1FYlxaTrSVExJntnn121Hb6SElZ7bO/dYBCi6BL1cX O/N/T4UxjDz+1G6TIlV1FdN/LUQYG3tLIop/8VlreUp0KhN9lYhElp6cf0mampkQUfS5Z/zb4v8X acnp/hkHJz8buFZXAduZh0tO90+c1frVrGP8A9Bi3L6/8XV76DtAcDBqnH0vNq9HuIcNEZmYijUj NDrNXphZmKjbuisW3ytcwdT8vyVEJDJ35awE+QNAGIEpxHdDv6TNq47WCgjd/L7aBt1vQ0oy+pkB 7zOrbSp7vinrqHW59X197/vuDcx8fnTfe7HU/jmFfFxfuBbW/JO2dNDMwpW8P7SswP8iLWc9nFQZ Im3jry8C9+kpU41hsnMUYuS+K5X6t46AvotNxEQkkyos+q2rIpVXY5iScwdaONs+d7d5WEnHWb6s tMVBoxc+++fb1PR56WX3wKu5RfVmRUNO++z8vXAl75eetvc9m5lXru+24yJnHdUYBvkDQAAR5sgC I4r1Kxp58Z31qC2l/+4pNtU+vZVDX08BgLySv65wQEEnOXHN7deOij2jHliaah3tMZEniUhk7px3 0QGAkeEoBHLcl0QiEpu4lXaYGFR0WI28jggAjIPvJ7IABMOZK4BvFU5kAQCAQEghAAAgUEE9kbXg 63XasfnjJEl+iwcAIBdwHIVIn/xzrcu4w9X7h/j205r4XU3Xcv2/Mkp5tbEMo36/lr48eLBmqcVm lutrtXn5KlFYhQYt0P2tBc1gDK6rp55shpHVethVGaVyg5VwFuCMxyjN5RPZj1OrBv1PDdagv3x2 os2rdfO2cnZb+l9fwoJRv9dtqN0u7E2ynnpyp7McbdwctEUybETr2xuETfae0/PDczpZr5fN8C3D 0j63HFbsWL3BuR9AQcSZ8/LwKEpw09/PkV9u9vT7GdUckkOvr5P1etkM3zwsLcE/sMKZtlOyGoDR caQQJRGJM30pTPNAQf34Zu+JmpO9q3+rLvB1QviBp7v8HX43kYjkb+/d/GXykZqDzvZeFhOdoa5N 63BHwLQoz6NTG/f+ydTU0qP3cln0HiJaIBY//2vIJjfbJY4lrh59S0QZz/YdUGXvHzuo8vMCsXiR rdeVoIlrbC03Np2gWWZ9zdYvniVoraVq6+sSi3VVG9+/HJ2lODWx2+LzF4o6cnUBdj26VlxgamG4 jEa7nCN26Ecf/W2xI+Rs3WA9PMeZ3RDvmjONvMG9hbPpHNp/OPcEdk/ZCw32nbMt9lpa1Upfhhyq U3axueWGHzqEv00xYk/ZNXP2Qmv/YW8vdhl2zbpfO/9FyK45duu0oFKui0xMBB8law41u4aoBf/b MWYf/xF7Hp3auHddU1ML15//HHhvib4R0/u6YLfF7imv1yB7svf0h5eu/G/sId8BZ/qsiIlLZxhG PXm7+nFw1T4PMk/2rlWAYZhrDQe9eRCtkMuTH1w99ONUhmGu+w26F/xEJpN+PBJ0pPkGrfJqBqeI ZxhmXuYZvzWfqh7PI1rdbPSHN5+lH26c/mUawzD7JVbntl+TSVMjg0aqyyQnvVf/1CiTFrV95CJJ W60l6jL/Xnspl0vjrwUtKFRJT1Rav9L8x9kWuxd8+s6uRyeFNP5akGYZdiuaSzhH7MzWf6TStKht w/S0xR28RuvziDhj1mpd1zjraY5PhJwjz2dv0dqCRt9/dPVI18CynxrsO+crhXMtzZIHnaxPbTif IU2P2jp8SbF+Ruwpu2advci8/2htL3YZds3sEWNHyK55pbnJzdOPFZzRG6L/9TWPKHbLkHUd/1ZX ntV9Q73E4BZkl2G3xe4pn3g4UsgX8ozoncuPttvN6EghXxcotHKA5l1GtG49ws4WuhYaxCeFfE6T GSzD+VPVLz1LtN5KdEXFp3V2W6zf8u+7Qtdanw/N2uBUiB2zwV3cYMx8ImS3rqserce6xplfzDoj 5Bx5g3uLrnqMuP/oqZkzEgF7Av9tyns/MUJP9dfMuf9obS+9+5jO5tgRsmuOWjF6s7fTfLHp6gr1 Q8+94+yFLgZfXytqDUuTKTSXGGXEONvSKsNui91TPvHo/kSW2Mzpf7/I540l+lljadbmTGwdulGc 3Xtk8KUk1Q0fGPXM47YWJjnU1igFY5Jb/TKKkJ5/1Lz0pmIVZzLaRbYs9F9w69kb56ytmXN7C1vO 7z/6ame/UvisJYxRtiDn/qO1vYy4j2nV7BawoHfAAlLKP55dFtS2dbXE21nuh25dJlQ3GA+bUuem 4jPW/5XRaouzpwbj0XMLWHncvq2mRRsRkYud+aPjrxlG/unwNvXvDU727mJnfmfvE0Yj6bjamz84 /FyhYD6f2nWs5QbVQomN2b+nwjSLCbgW4uNsfTbomkIhfRc0zMz5Z84yJRytLuy+pVDIPuwO1FXP 1zLSD7vHmkraaC1Rlzm+8pwi2xMQs9siotSUD0SUnBKjZ0XPIpYXdt9SjxhnPVqUShJl/YZXfEaM T4ScrRuM2VjjzFkzn9YF9N2I+4+APYEPH2frM1uvKRTSd1uH6HqlsJVysj675ZJcLo/eM2aZZz8y Xk/ZNbPx2XvZZThrZr92+O5jIpGIGDL5ci+hk75uq4xxowT71v4XA1ao2+cTj4+z9dmtVxUK2Ye9 k9dUGCK4aZ1tafSUTzwcKUR1cTukRsD9Y0yNDe2JyHdDv+Sg1UdrBdzd+9+dKlK2rTnGMdn7f635 bugnD950tMZ/Hw723TQofe+m47UH39ocXX1jT1WxGuv6Jm5YqSqmUUfW3jmaXd6SuKTnUkubY0vf tLy0hrNMq4sbP87rstSy8NFFr3TV87WMzZF5z1pc3KKxxFa9VquLGzM2DVhqmt3LaxxtBYVs9/yh 9pbx2108vVZd07Vim/Pr4v76eYmpiap1dj1s7bZOvNG0eFYD5jNifCLkbP3zoh7L9MZsrHHmrNng iAnru7H2H2F7Ah/NLm9JWtpzqaXNsWWRul4pbC2vBCWtHrjcqlDI3y/9Ly81Yk/ZNbPx2XvZZThr Zr92DEao+tUCE+v9gSebnf16KwelMvWeET56KjKT/NQjYufXy+l84ml2eUvi0l7LLAsfnvuo6dG5 gptmt8XuKZ94jDvNIpN07ciFMVfbXJuTjUp4WSAWC//IGpO+wKzQWIXCqBERZTOq/CzHRqwA+J77 DjowaS+XOLYYnfoyrwPJe0b7drrqGMLE3tXnz6yd9BBMlRWz/JatlL5Z+YuZa7ecCObblDMjVjB8 z30H3fZ41Sox8XBeR5EvfF+TvS8Qi0lkZufbvOGubaVK2uZ1OAXA9zxi33PfAXj6vlIIAAAY0bd7 +gUAAHIYUggAAAiEFAIAAAJxfCJLa/b1PJl5Nx9aULcuEY29ckVruSz25snfVoQ9CpeThUP52vWm TirhZp0XAQIA5DaOFKLKGSG+/ZA8+Lg6bNqzqBTvoQvadfZNuLt/x7BVw/ePzeugAAByA6/vhcjC b9+Zsjf2WbxlmfIV/hjs5m1FRPe6jYqmKs139uVcRf7p4YV5K5/feppBVs6VatcaOTakZwsiElvY VxvXOmzl/vgkpUfzCZFHZhKRiaWda02/euOG27w4cmbjwXcvImVK8yKlKvkOmewSue/c7tOxkTFy +Zfvf7CPA+IvbT+9KeRD+Hs5Wdh5l63UZ8LlKV2JyKu449uIz+aSohX6/uaTeuDEjrOfP6VaeVZP jbilXlcznkLWxeydUzTrKWd59ejSne/ffrQsVl1Xv+69TyWiVp1rJh6bu33+cZnS5N1uhrMtiUOh j/FpFo7uPt2mPlj2q7ovuo5vhPWLXQ8AQA7R+aFezaOQG41+LTx+fLmmngmn9179O9b/3Agiutd1 VLSocvOd3NPaHGnf9FlcWp8T54tQ1OIWPU2syylSnxDRyKNrl7QePPD4nnUtfhaZ2o65cIyISQm/ sbrnODNJY4uE88kypmvIGWfli6XtAsSWxS3kEWlyplvIGXcHS3XlqvdcNWszcapqLXqxtG2AyMxB KftERF1DzjjJri/rNFVs5mzGxGUoVGVeLW373z2pNONRLdGsx0aUkChVtNl1wkt8Z3nnyURURmLF 2a+xV67sa9nId+fxg60bW5iIOdvqfPC0q8mLpW2HiExslIokMpRCVvnVF9AvpBAAyDW8jkKiP0tr tyhBRPYtuiom91ctrLprsZ5VnsWlEdHmFn6qp6r3WSIytStPSqVtYTciUsoTd/Xo8P5NHKNUEpEs 7qyMiIg8HCyJKqneCt+HrD6/+/Tejs0YsZV96SrVh02qVMle611S9RasWouIVO+zX5c01Hyb9nCw JKqQqf8a8Wis9aUe1R10fYoWJqqvv19EFJki62BnQUQZCoazrWJOVkSViUiVPwxKlanryXK/AABy gdEmOOE05soV9eSZWocOKlERsV2PnPUoYsH5WyJya/tr97a/EpEs7v7S9kPPjhlb6XTeX6Hh7Fex QmYRCRl5FRIAQO7j9aFeFztz9tTu+qdk97YxJ6InkclZiqawmZiI3n1Kl316uKBu3UVNemhEqjNU a421iEhk5sAuY2GSqYwemvXYmJloraWnX42GNTvSrinPtlRloj6ly2Juai4/2bftqr5/5US/AACM jtdRiO+GfqFTVx2dHG/lU77ahq8n95VEIp1TsrdaMv7IH+tOdmt5XKlv2na3Yg672zRRfi3T7c/h pzce2NepmZzM7cvU8h0yWf03vsjM0qHcDzVGTGZX0nXWoFMbDu3t2ExB5nYlq1buN1F12VlTxyFt jm87s6tdUxNbTz3xFC3ppllPWbPLR5ft2tWuqaVHVV39MhOLZQyTLGPs/SeO8J9IRO92zzPYliqe 3e2aWhb1zfQLpVJ9Sxgj9gsAICd8j3Nk6bp8LcydYe3P34tz6Ty1y9DmZqz7exm3Lf1ysy0AAMrp ayH5kCzmBhGJzOyNVWG1RWulS5b8e27J8n1/MIySNN7Ejd6WHrnZFgCAyneUQr6cExOJLSSe5XpN N1a1IjPnHwL/+CHzTVJyqC1OudkWAICm7/FEFgAAGAWmWQQAAIGQQgAAQCCkEAAAEIgjhYT49gvx 7RdSY+CZnovfR6bpWlNrTnhhUv6dtvG3e6rHz35tdzo8UX/5V8M6nA5L4Fn5y23zNrRuurh5h3Mh r4go9fnMBXXrLqhbV72EM57FzQMUSpJ/urOjVSOD8ejEpN/8c8TSBvUX1Gu4bfouznhU5V7O77Hr RKSumHXVnuW12PEoZf+um73Ov0mW1uIzhpy0Iky+N0VVj+rfqbAEzl7wGw0AyDvxmTEME1y1D8Mw jFwaF7L5cOOVjA5fimXP29+6HHv6iWEYhlFsadwgLk2mv3xwy0YGy6h8DJm4avjKTwnpCQ93L2zc W/NXKeGXtZZoxrO8aYMTV8/tbNNhQd26PNviaP3whO0rzkvlCnlK1KoGDTLkCs54wsd1mlenzu2Y FIMxaxKwFjue92sGbpl/IClFqmc02Gupf6VnLY56WBGGje906E6M/jI8RwMA8pDuE1liU4fWvRSf vsxV/uW4pMfi9+Fp9PUQRHW8oiogC799o8eEIzUGnu7yd/jdL3+8658EhYhe3Plc28uGiOSfz30y /8HBwkSe8Pj0uAFL/Rqs7Tv+XbKMiBSJT06PH7jUr+HOP3aGU00HCxM+qfHBxtt1ZvQpYmMuJhuR RTH1cqU85cPtS+LC5XXE87HpxJoPA6faD+gntvnJwcLk/dG1Wzu1WtSo1f4ZI3afjCSi2927hIes 29G19eLmPz98n8pZj73/X90CGpiKRaRMlNo0MhOLOOPxnLu3mJ1Tpa+TEOuKWYvhtZSyE/3arRt1 Qk88Eaci3H6sZm2W8eH2JZGFJ8+1+IwhGzvCe4+S65W311+G52gAQB7S/70QEX2dxqPtnY2kZFL/ vXm+3zr/cyPa3tmodU+qO/3WeyydXau8Y9rjm2cHz/f+5zciA5OgEJP8lJr8GH3yWIRvHekhq9Jd Sak4MXCax9i/h87xDFvY58LxyO4/e53sH+gwZN6QP7xuDe6SVIpjghPOmh8mWAfYyh8Hrf+UfNnK J4CIZJ+OLG07h4jEFm6N16znXOtxuk+DuuO9uz6pW/pseOk2qf+uOrg/+X+r9xVhXqzvMvynkRJS ym6/f1/4oXnLVfvkRwPPHYmsNNBHVxRx14Ivbr7YdPFvnPEQkSL5ToxV2y9vzTrKsBlcSymPj3yb 4tTDS2c8ROXHd987e8DiVEt702TbRkt5rmVwDBXJ9xa3GKZ+6tRzQ+9BHloRMmnPXiYkv2zUQGRe uOTPE9sFNOToBe/RAIA8xOurhamXQq7POp4cr28a2ujP0ujeE+5kXqh/QnhpXLBZtTIHB8+Ps+1W 3Dbcvldx2acjb217VJM9Pz9z8fvEso0DisriT70Wd2vlV56IPEvYRNYvzidgadxBuanHtU3B5br/ YrvwTPT/vInIzKH12CutZXGPt/dd7FPcljMekVt7kZmk07B67+attu84OGrl3+VnBjk7WZOyvKWF S0V7S9mng1K7dj2m/CIiop7Lu+kKIPL2xaVbRBX9/VcssDQVS2OC2PEQUdrLvTb1e+mJmZPBtURm zgNOn9ETDxEVrtm7b0hvJv35xtYjG/9ahudaBsfQpHBVrRlW2H0XW7mOvXyZiGRxjzd3HvL+l9OO ydq94D8aAJCH9KcQJYlERHR78pFSG+d7+tiS3qvorUM3irXniNIn+fo/ybeem/hNsTjx+6UYRd2K 9im3TqeHv7l+pmGFjuOaVPMkosRLx4u0GUFEpJTdvBpTfgivCTySr1917Navbp+aRHQ29GP54UXU vzKTlHdkXn9IlXvbmLHjKdJ6gupx+I248v3t789Nb+leiIiSrs1Pc+hsIqKkO2eLNB+mv5dpz/fu WhTRes5CJzsz/fF82v3SbYCHwZi1ZHUtdjxfMKmXRox1HbKsuK15FtbSO4Zs+reFxNJELBKxyyRf 4jsaAJCHdF8LUSrijwaZONQg1ekokfbbpsTG7N9TYczX01QuduZ39j5hMp+10n8tJOZwFMkrdR7j 94NnoRRyLGdvmfEmpXDNXv5TRjgp7mzqOknKKDPCkpUZ8YqMhIdLh4WlmJe1/3IB4OmSCdvH6qxZ 9i5N9v6jTC6NPLrwiXnDskW+3vFQKXsTPCeikJ8X13tfzOEorzpORESM9EFC4XL2FtFp4uRkaeKj E/vnXChctwIRxex/W8zfQ+egERFRxLygcjOHaL7z6orn4aN4X4/CBmJmMbjWs78GLWs3Uk88qqG4 MaVPfO1JrTuWUi3gtRYZGEM2fdvi4B/RXr+4WJmyy/AfDQDIQ9xHISG+/UhkYl22gu+GwURUc7b/ 9V/H3Y2Xapapsa5v6LSVRyd9UiqVbe9s9N3QL3TqpqNzP6pmbv9ymUTvtZB7b1J+XDbL2lRcrJu3 +cafxCJy6jnJbfT0VY1XFqnUoNHSGeZikUOn4Va/zli6LaNU98nebn89+5xe3t6SiB6dDf0octJV s6TnKLshM5c3me9Us9nPG8aLiIKa+sWkyUSmls41m/28YSznYcS9txltHa2ISPb5hNzhf2KRqH2/ H/f/r4VJsR+aLZt4YfozGlr+Tniav1sh/WN6701SVKdm/xARkWXREUN3dWbHQ0rZSr/GaXLmVdel I4JHc8bMgd9aUY+iCpf5b1p4djxEyvt/DoyvOqFDl+rqYgbX4jOGbLq3hZVb3XZdl/TgLMNrNAAg rxXQObKYmLMTjj/u+8twvh8KAgAAoyuQ305PebjozEnXjr+WzetAAAC+awX0KAQAAPJegTwKAQCA /AApBAAABEIKAQAAgZBCAABAIKQQAAAQCCkEAAAEQgoBAACBkEIAAEAgpBAAABAIKQQAAARCCgEA AIGQQgAAQCCkEAAAEAgpBAAABEIKAQAAgZBCAABAIKQQAAAQCCkEAAAEQgoBAACBOFKIs5PE4GO2 pLCjPZpU93B1r9m02/HwJPUqWmuxlwAAQAGVhaOQmNg4Pb8d7f9rrQlbw6MitoyvFeA/Wtcq+isB AIAChG8KMXj0EBKbNrJpBTMTs/JNR6fFHjJGbAAAkK+Zci5lZ4uY2DiDJ6BwhgoA4LvCnULUp5uy lBWErQUAAAUUPpEFAAACIYUAAIBASCEAACCQKD4+XvO5nZ1dXoUCAAAFC45CAABAIKQQAAAQCCkE AAAEQgoBAACBkEIAAEAgpBAAABAIKQQAAARCCgEAAIGQQgAAQCCkEAAAEAgpBAAABEIKAQAAgZBC AABAIKQQAAAQCCkEAAAEQgoBAACBkEIAAEAgpBAAABAIKQQAAARCCgEAAIGQQgAAQCCOFOLsJNH8 p2vNNyeWt/6pkruzk54yqtrYleuPyWABnjjbMkrlwrrAp++Cm87SVhBcho+ksKM9mlT3cHWv1azH mcgUPTUbq8Xs4xmhgC3I89Wka0WecfL5rXHXyg+VZ1W+CkYX9nY3yvtGzuFIITGxcTGxcZoPOPn3 n9136ZE30bF6yqgq0fM0R3G2lZsB5GbTedgvLaP9f/UYuOJ1ZNiaYeXG9/hdT8n8E7MuRtl7Va8j /a8mg01nJwAoQNibOJ9vdIEnspydJNFSRUCL6u7OEs2FLi5uNZt0PfIyUb1EwF9tWismvgzp3qS6 h6u7Zs2cK2q1zllGMx51zbVb9FK327tFTf1tsSPkbN1gPV9bd/Nt0H7L9Vg9bWk9ZtesFUxS2Ilf WtYu6uZeq3mvc1GpPOPRVbNmvx7v/qtJjbKqQ09dWzYkNm1Olx8sTC2qtZ165+JfPGNmjzx7fNit 8xlDY40qm+DWdfT0v/1Q14qav+XcFga3Ms99Q2u7OztJDi8OrFPey7O077zTUZxl2DXrfi3/N2Ls mvnsY+wtyH6X4IyZiG6u7NNyaoiuQR5crtiJ+Awiyog/4VVuIM+YOfco3jFnbf/Jd+IzY76SODow enEXUEjDbu0pWrq7nmJZrbl7afep+26lS9Nu7ZukWXP2W1fXfHPPJNVyiaPDxN030qRpt/aO19OW wb5LHB2mcMWs1freW2FSuTTs1h63YnUNNqQ/Qs2SPX08ArdfSZGm39o9wbvycJ790llGo18V3JyW X3gm0zUurEj016zVO60y7PFht85nDPVHyH9U2Ut4bkH1Pz091doP+bTOHg0+WzkL+0bm/blKpyn3 IxNSY0LHDf2Lswy7ZnYX2CPGrjmr+5jqMftdgl2zxNHhya7Amr8s01P5/bkN/Le9YBjmeVArv7n3 ecasf6vpiZlz/xHwnpmHjJZCIo7//YNPUa1XC2c9Wa1Z46lC17rCWud8K1EYaotdLbt1XfVoPWa/ v3A2pPWTT80KJhM+/WKXYffr1oYp9auWdnFyrvKT/7rLH/TEzKd1HTEr1D3VGrEg0EUAACAASURB VB9263zGUFeEWR1Vzph5bkGtJeye6qpfT22co5GVrawzHs79OSI90xuv3n1eZ/fZI8aumf8+xv6p 2Qt2zRJHh7JNx3+WscP8T2rs/lK1ljAMs6Rmif2xqTxj5p9CtH5y7j8FK4WYGutopt+vC4cfedCt wpdDV2NVm/uti7T+F9o6n/UjY+LMs9COVmRZW5PPWlpl2P2q3nf2hb6zSSl/dmldox5d+4ef46yH YZ0hFdA6scaHs3VhY8indT5ycwtq4RwNo+wbnPtzMXMTzVUEv+LYI6ZVM899jA+tmono0Iiq+lex dOzQOKlsZHL7VcmNHzta8oyZiJRfhk+ZpQiNtffmIaN9qJdRkkhknMGoZ2cxI/iu7Ou2aGpvOSP4 rlQhvRM83dKhuRFb/1qz7G7w9OxEyNm6wZib2lsO3XhZamiXi0uNIaIPqVm4pNbC0Wrirmvpcvn9 Q9NKVBnOf0UtOkdVJBKTUmRSmHOtNhKribtvShWyuyG/V/kpUHDrOsdHo3XOMqP8ylXwG6m/cgGj moUIs16PsP2QyMC2YOOzb/B5NbHLcNbMfi3zHTFD/dLagnzeJYioZLOmMwM3KPS2PKSPW+CuQLc+ w/jH3NTecur+UKki4/beSXqKsWMWtv/w2cNzD/tEFs+TA9onc47Mqe3jYZSDso8P93SqV9lV4qgq Gf9kf2e/qm7OLr5+nQ8+jedcRVjr6pprNO2h/5SC/gjZrUscHXo0rc6OmaN1iaOecd6750S1kpV/ 3zWzYlHXjptu6YlQ83HCy8M9m9Vwd3ap6tf1REQSz36xy3D2S+Lo4CRxqVqvw657cZz1fH55qItf VTdnl2p+XU+EJ/KMmf2YPT7s1jnHcHh9H/37mLBRZS/hswU5T4Nw91RjP+TTOns0+GxlPvsG53bX qoddhl0zo+u1nHmbco6Y/n2MvQXZ7xK6Ru/9lWnNJwdzVquSGrvfyclRdRaLZ8y6tiCvmFn7j8H3 zOH1fco2GKanC7lJFB8fr5lR7Ozs8iqZ5SUmw8W1aHRMgf1QBGiQp4d5lvrfu8jQvA4k67AfFnTf 3xY02rWQAkwpvbxxiJVzx7yOA4yjY5UmzUbtyOsosg77YUH3XW7B7z2FODtJRCIzz8p+q46syetY wDhCnr3K6xCyDPthQffdbkGcyAIAAIEwzSIAAAiEFAIAAAIhhQAAgEA6J3t3cXbzbdA+6JbO714Z cQpiAfWw50M2SiSCGWsid8ETg+t5WnDxnO38m+lvXhE2gHxu98Bzz8xvWzCv4sm5m0Skvjvbu3mN om7uVeu22XzDmJ855j4KiYmNi45+u21qg4k/d9a1phGnIM7nsxnzYZQu8JxmH7RgrPIEz9s98JHf tmC+iscowUz3H+AzZktY1Ju9fzad2q1P9itU03siSyQ2sXAhfpMSc062rP5tNqewZq/CXtHgVOFs nG2xp7n28K7y557fqni7/9hpFvGbEN5Y0zjn3GiwJ6zmGTN7fLTa4rPd+Uzbzu6Xrmn2+U0ar28q dc4p0A32lE+/2PXwmU6cc9i19kNjvSo5R5VPPezbPbBjZtdscFJ9Pvs88dsPde0J+vdVo+xRnPHo eMVlGg0B7y3sfYM9hjesXCc3r2AmNvWsWEvJpOgaVSH0T3Ay8nwUw29SYs7JljlLsmn+ls9Uz+wK JTymCmfT2Vbmaa6jk6PVP1VL/jhyP12W3Ync+XQt50ZDwpqwOgsxZx4frbb4bHee07bznB1Hq0We U6lr4pyo3GBP+fSLXQ+f6cQ5+6i1H/JZi+er0uCcQ5w3XDC4FruMrjEUsM8zjOH9UNeeYPA9Kvt7 FPtdgvMVx45HwE0i2PuGrjGMODqvcf3O++9zTxsjDHcKYRhGIU87v7ZP8aqBDL9JiTUeZ5rCWtes Mpo0f8tnqmd2hRIeU4WzsdvinMJad1+yNZE7n67l3GhIuCasNhgzn2nt+aQQntO2C0shAuKRsCYq 5z+Bv/5+sevhM524rj5q/eS5lsHRMLiLcu7zwlKIwUn1+ezzPPdD3XtCFqbZF7xHsdvSPUW8zpg5 42G/lrV+6hrDn4q6/PM5jTNgwXSmEIZhFNJPzs4eqiXpXHPs6+hktlLI1zqkT86vcPNsyHMVdiS6 Yuag0VZjL9ftD2O06tHdF32bmW/rLLkzGpzvzgZj1jU+Wkv43HOFYTL1i7N1YSmEHY/+1TPH/AWf nuqkd49iGGZwOZ83iRFlyw1ULzc48pz7Ic+1VDHp2Tq5mUIMPv7ajr59nud+qHtJ1t6yDdbMpj9d 8SiThfcWne+0ht43jEL3tRCl9MrmsbbFBxLv6Y7Zky0Ln1Lb0FTPWpNIc8YjYFppnpPG/33ykSzr E7kLn6I5V0aDTxk+48Nz4msiw9O2s/tlsKec8RicSp09UXm2bl5gaI8SMJ04m7BXpXrr3Nw1Xl2M z/7DZyp1NgHb6wu9+3z2bu7AMRqG91WOegxMzs/nXYI9qsa6SQQRxxjmyCfNdF0LcZK41Gr+y+WY VIbfpMTsyZbZkxvrwj5M0z/VM8OaRJodFf+JuDXb0jXNtdbPnk19BUzkbnCKZs5D1BwaDfaY8Bkx /dOAZ2pL78TX7H5xtq7VL84lnDFkNR72ROV8esqnX5y3ITA4nThnzVo/+azFflVyjgbnqOqvR88g aDK4Z3I+NrjP89k6evYE/aNhME6ee7jWu4TOV1zmMgJuEsH5k3MM+WyyrMIcWVnm7CTJV5/5y7/y 28TX+S0eyD+E7Ru61/p+3iXw7XTIGflt4uv8Fg/kH8L2DexRRITJ3iEn5LeJr/NbPJB/CNs3sEep 4UQWAAAIhBNZAAAgEFIIAAAIhBQCAAACIYUAAIBASCEAACAQUggAAAiEFAIAAAIhhQAAgEBIIQAA IBBSCAAACIQUAgAAAiGFAACAQEghAAAgEFIIAAAIhBQCAAACIYUAAIBASCEAACCQwBSS/O7Kjx1O ai65unF3lwmXkhVKzYUeHmM4/wmPl4iI5GnRZaot11qoq9p/lm1sNelONlvMOcmR9xt3Ok1ECzv9 MTc0Seu3K36et/NpqqprSRF3m/zvrDTxebnam3M/TgAANp33Tnd2ksTExun67cXJ55uMG0GsN+4y 24JVD6KiFmo9UOOTQjw8xrBXVEuLCzUpVEX1WJYS6dvi4sPLPbgKKo/M3Th46b9Ejzy2blMvFZuY v30zx2AM2ae/F0QkS4oc0GZfj+0TiajXxJo/9tjY/OawqrYm6gK95zfpEHhN9Xj7hLP9/xgSeWKz pE5zo7QOAJBNOlOIHrKk8LkJtS/V+XKXdf1JIvvHHLoq9/A4KBKJ7h31/fQ61MMjVPNXUVELMz5F /TVyy8GPniH351aXmKmWKxnpgl/mJbQfYNyQhEmLeTWozUafGSP7lS9ERE41m+0dH9el0foNwX3q FrUgrmGM8jEf8L83rz+t8NjzZTmSBADkISEp5MyUw3M2B7zYtzPgcikylCSEHYXor/BawB8rew7b XFNZsuLGB4vDflw5eV87idYf3esH7Ehr1OrGkKprus9/MWtI1zLWCmn8H303WHQZMLutS3YCMIpH R84OC7zQct6ICW2c1Qur9et+SHLil8ZzmoxqEzigWlTUQoXs8+I/HixcF1y3TM0Np7s+2rD++Cdp aPgCZ0ouXmZxxOtpedgFAAAhKWTF2Q9vLk0z8a5+dHe1mvt26vlDmPNX2f/D+VJoSuvfrKQJdy0d Kh3/cG1QgyLsMkMPjFM96Dayyk/tVtmvq79v1eOO04e0LGudzdaNIuZVwoTgSexgyrZtcbFOxUWz D3caLQuZ4DBx9KWhW/ssXBf892h51/lhfg8lXZ3Nz3+WdTB5ZW5XOk8iBwBQE5JClq/vsP5MyvjJ 9QvJP4pNLAQfVQjLJUpFxo54y1sS85iz992bNp83u6n+8pauJRpK7l99bL5kW29rsUhQpMbXaGRH 0nFA1v3K7/OWBEwimtduXee1v5SzNiEir9Y9qu44MXZnhysDHy8487lxqXt2pWvndtAAAJkJSSED ftmT7mx3/MDZpIRUU2tPaVJ4VNRC1XkkzZ9EdD3o4IrHklW/1y1sYrT3bllKhMLU5n6s7NG8yPbr XSjT1ZH/roWQUvHv5ftBQf/sPBEmZ4h+27L+t/8qySeXEFSnqkqUWaY+JfW/cuMdTL98TG7coYFE 9O7cwR+H9CWR+PedrYiowthKj7qduVrmje+oDnkVNgCAiqBrIc//JiJSKo5OmT/heg3ps3DVe7fm T5VOEy8TUZmtB7VqmHN3Ti9nc2ERm9v6nNsS26nxojjTco+LWdLXfKB1LWRtjxUxLZoFHQsz+sUY 40qJumrlVFP9NE6mdDL/km414rzssZKIKCpqoX0Z//qKKaNv2dyoaZvLoQIAaBGSQmKevT6w//aB Y8//DfvUdF3Z0wOJfRSiKsn5x/7YahNr2whpV03iW7We84kLUU9XX0kIqGvHWWbQjhFEtGpSdtrJ BcpNo274jhn29RnzNkPhZvblKCTyzV9rx2/4VKdJIzfF+V3n3pTwI6KMz2+jpMSITCJSFM5FsjWM AADZJOQ9aOzwE1V61p3a82PfFU5LmtmXz/xbRp6qZ92M+IgTaZIFVsK/FZ8eEzG+z0Zll34nmsR3 nXYroG4T/eXz1TGHJoU0Yc3EDRtllW/8LFEtibh2KoPMqn/Nr2kJadXa/BSyKbj3U4sKTibWTEJy xNM+7Tf7jB8yPu5E98brtxzuV8dd4MEcAED2CUkhQaeGENHc9hcXHRloZ/rlrIvqgKNSIROvEjM8 q/2otYp/2QlP5GI7+0LyJHn7GQHZiXjNgIOlhg4Z4e9CVPzYdu7voGge/eTbE1lb+q++4/3jueB6 lmJRo9LjnqUqRCZmTYb2dTX7MqSz2yx/VrpE644d7rUpZSUWEdHq7vOrTRo6pXMxokHb3UMmj7h8 Zl/jPO0EAHzXRPHx8ZrP7ey+nBfS/+30LFMqGUYpk8nFFuZmPK6sfxvfrM5CL5RKuVyhIBMLPqNj 9NYBAATRmUIAAAD0w0y9AAAgEFIIAAAIhBQCAAACIYUAAIBABe+7aZofydWcTIWI7u46NPa4w7kt 9Sjr8wcDAEBWCbzlVE7T84FU9XLNJKGQfl47bcf6Zw6bNv2oVSwP5e3HavGhXgDIabl9IivjU3hO fLNvTffNnyr43TjYtbJ9wTuu0iPm+j8/N57t5TmuVpOVQTeSiCgp/GHvln94e46r02r9iYj0vA4Q AL5ruf2GW6LS0uysrpSnFfWawl4+ZN+o7FSbb3XtFdxh9egdDV1eXjjfoueqXi/GB7bfXu6Poetb uL++cqVN+z0v7vbO6xgB4PuV2ykk4uUEr1JzBa8uz/hkauEQ8Xqq6il7bmDKH6ewjKWmi7m1lalI JDK3srB2LU5ER2KlUf7FZEkxwTtC02IjiZBCACDPFLDTPoqMj5p361NdTg9/MtSn1rHXT4drzg3y bVxOD1xcq2q7OdOJiCjg8CzVwkdHz42eeafdjG7KIwvyMDYAgIKXQlJjbnh43FA9nX93DhGZ2Zbs bP1uZUT6UC9LdcmCkiT0mzPoepfFw+d0KHb/4L4eA49NDe1CRGMPpa08N7q0jclfeR0eAHznCtj3 Qgq5+UVFLYyKWvg24nci8rT8Ev+Q33zWj7yZp6HliENx0pkdvc1NTWt0bJ8We1e1cPfKVqVtTEip EOWX2/gCwHeqgKUQNUXqeyLy+ppCPFv1qBFx7PeLCXkalPENLmU9PuilVC6/unW3XamGROQvMQ9Y 9TRDLr8atMNKUjWvAwSA71pupxDVtfTq1Wdls57I27dMTAu7m4uJaOOCA+2bblywv+PuAcv2PdZ3 w6sCZ8S+PhS836fEpMkhog37mxDR/ODupkf3+5SYFLgzffHBznkdIAB813L7Wkj2L1H0qDzx0iep 2KJQ6zF9xET9q7vcSbKZsLyxbQm7Y6vi+y64/b8N9fl89aRAXCyxcCi5Onii5hLb4pWDTlTOq3gA ADQVsMvpRLT9wRzNp7+FTFA/Ltak+ZkmRAUkPQAAFHS45RQAAAhUUC+nAwBAnkMKAQAAgZBCAABA IKQQAAAQqOB9IotNkfGp4k9bn9zONFlvlubI+qHqrFO3p9uaGvi2NyNL8S41503EbMGhAgB8Swre LaeIlR5e3O0sk9qzi0VFLUyLvVWl2euUmBuatbGzi1dGyqNURR1bAwlVkfbB1NrdcPQaDeGWUwDw DcvVo5DI06e6jz336qPU2tF50F8Dx/k7Cq5K880x9t7mtI8PtG6Iq3rwaNG5qhP7/TPmBrsGrURy pdx4PU2opH1+bGJRRHDMAsQ/uBUw5sS154keFctMX9WzhZdlUvjDoQEhl/797P51SW7GAwCgKVdT yOgpV8fundauTKFPz+5W8183zn+i4XV0mN9uQYOgUT7R51tOUqysEltm4KhzMz2J6OO9Y/VGKlRl lIx06sHUNTMcf+I6p6XOEBkJT6u2fPrkanuDjcZcDEv7+DY8o4u3RS5dQ+rTeW+TFaOCGrq8vHC+ bfs9L+72xi2nACD/yNUUsvfmTNUD22JeivRsnSXrPaVci36X2sWcrz9r3M2pl8qssK9VPPCf1/OD ZoQOXjtWVUae+iFOZGcuItJ7aeTdqXOJES89PC5pLuQ8BXRufUzDPo6zLidsasJx3iwnKIlEqvl4 RaL0j48Jt5wCgPwk1y+nK5mTq/dNWfV25rps3UHduVarEeJZ803rPfIrMqKIZd+S1ucZZbxcOerQ NHUZs8KeG/pT/yXvKHNK0Eonm+Z/mNrcodLiiXVtTYko5d0/1f/Hkd5kyW8Wviv0z5hODfwvUZN2 2Qmev827Og0as3Zen1TPMqaF3GqqFuKWUwCQT+Tqh3pTP7wa0X721NPMuvMjB7TMwnVpLszDCLlV XHiSQrn06LRqoqgMG5OdMRlahXx6/fRqx1U9tSSGXzwkad5jxo+TZj4nIlIyS/udHLSqMbvkrfm7 3Tp3drQvPcrhzqKHKdkLni+HqrX3nZsR8WbuJE+rMVtbqhaqbjk1rLVH7sQAAKBLrqYQ/3qrnbt0 u3GgazXH7B79RJ7Yda1qp9XdUwYExRBR1InjfnPbHFwWpVUsIy5RIUvSXY1yaf8zI1ZUt/Vq3OLe 7uVXP++auvR8lY5jqhTWKpfy7sHA7RnLpngTUdfVrdb03h0nU2azC/wlvr4+O7HeoDLWqqe45RQA 5BO5mkKepyqmdvcxSpPbV39YtbBS1dG/JB+6JUt9P3IOs6RFXb/r+0KTFOoyAdUmV25xtmH/Jroq ebZ96yH3Fv29LYkoYHGdOZ1/n37C8fBf2vdxkqVGB/jvaPLX4IrWJkRUuGjtle0+twk4J82VJMLI Ekb0vL12c13VU9xyCgDyj9y+FsL50VsBJgSr6pHsX1NxaMvVTdeMszERjVpbp2HbnduCu1awMyWi lbdnLxObmIrIYz7H5fSY6xc6/RF/MPSH8DuPd++4uv9WxvSVA6L2hTTsvGNqYBP/H5xVxVLevhjS eVNqx+5b/+ekXtdv+vAOveY06JG0eVXrMnY5O4b7xu3osG1ApUImqqfzg7sPDdjvMy/Bo4LP4oO9 crRpAAD9cjWFGPGbbuqUYGJmO2b1sGHVCxORnU+9XcM/Dxl5/ezmukQkMjFRd499OX37/Ed/H//1 n4CFwVT0565N/pnnbSYialu2+4VbK5ZtW7K3/qkFNYhox7SDrn1/mTuojGbrIrHZuKAJTtM3D59x 59TiWsbqFKfOiwM0n+KWUwCQf+i8X0h+/nZ6QYFvpwPAtw23nAIAAIEwUy8AAAiEFAIAAAIhhQAA gEBIIQAAINC3cMspzo8eZemWUwAAIECBvOUUsTIE5zcWo6IWkpIpWmxCZOQ8zTr1Zxcjwod6AeDb lqtHIar3bpHIxL1s8ZFze/eorj0VFX+qN8fwf278tuHdyZOX/xjUoNpw/yoO2t1RMlKRiXl2Ys45 mplMJKLIyIVauQ0JAADyubz4drqSeXLuXMtua3s8F3o0oFQ8uHh384arqWVrLV3Xvozn5d6TG8/9 df3pxg2HdS1jKf5v9kGFLFFsnk+/6aLOEMmRl2v3TNNaCACQ/+XR5XSRyMTCVvDaG3ouWnQ8rvsf g1dP+aGwiYiIxGaFJ60fVD7hcaeuFzRLypLfmFvn90nRz0w433r+j3kdBQBAluXZNIvdds0QXEn/ 7YH9M58IUj2OilrYKtOEUvT2yLUiFRupHpuK6FWyomSh/PUhNFlK5LR7jneq26ieeniMEYlNStSo NGddtzoSs7yNDQBAv9xOIVFRC5WM/PKW7YMCz8y/0SmbVakePDl1edzEo8ombbQKJD6/2+v3d4Hn S6meTmnh0ajsOJF1Nm91ZWRP1+zxGtbNTET0tUeq8RnQ4eTjy63zODgAAL3y4E9ykdi0Xq+fU97f MlaFTfoetO3U5cjfP2kt3/XnmXYLRncpZqF6Omj92IjIheHPA43VbvYpFRkT132e38dFc6FqfJIi ruRVVAAAPOXF90KUiqtBe2286wqugP2p3Isrg4quDFI9Vh+dDNo8TnATuePDlb2xNTqVtcqcyJWK q0F7C3tqZ0QAgPwmbz7U612twvoDzQXXo/WxJV1fgMi1738ItmrC44D9P6ufao7PumyMDwBA7iio t5xSk6d/EolNstRc/kktv13/U/MpPtELAAVLwZ7gpGGZ8S9TGO+6Tdm/0vN2jHdqAACjwC2nAABA oPz1JQkAAChAkEIAAEAgpBAAABAIKQQAAARCCgEAAIGQQgAAQCCkEAAAEAgpBAAABEIKAQAAgZBC AABAIKQQAAAQCCkEAAAEQgoBAACBkEIAAEAgpBAAABAIKQQAAARCCgEAAIGQQgAAQCCkEAAAEAgp BAAABOJIIc5OEs1/qiUCqha2Vn7DsxdvTixv/VMld2enAtRrdqhG3NAFaBwAQDBT9qKY2DgicnaS qB4AH/79Z88MuRns62UqyutQ8gfsPADfA74nsnq3qOnh6l6zSdcjLxNVS5ydJC4ubuolzk4Sdhki urmyT8upIarHj3f/1aRGWdWf6rr+Sh1crtiJ+Awiyog/4VVuIBElvgzp3qS6h6ubb4P2W67Hqto6 vDiwTnkvz9K+805HUea/eXXV7Owk8fCu8uee36p4u//YaRbnWklhJ35pWbuom3ut5r3ORaXq6ju7 5mipIqBFdXfnLxV+jdldc3y0YuasR+sxZz1aZfjUTFzbi74ecWrVpl7COfJao8Fei/2Usxda9fDZ NwAg34nPjPlK4uig+Xji7htp0rRbe8cXLd1dvZxRSMNu7VEtYZeRODo82RVY85dlsq/FK7g5Lb/w TMboc39uA/9tLxiGeR7Uym/ufYZhupd233srTCqXht3a41asrqrmKp2m3I9MSI0JHTf0L3a0nDVL HB2ik6PVPznX6unjEbj9Soo0/dbuCd6Vh+vrO6tyzafdS7tP3XcrXZp2a98k9Whoxay/EtVjznq0 yvCp+QuN7cU5UOxesEeePRqcA665kLMXWvXw2TcAIL/hm0IUXx4qVMsjjv/9g09RiaOD6h9nGYmj Q9mm4z/LFOp6bm2YUr9qaRcn5yo/+a+7/IEzoNTY/aVqLWEYZknNEvtjU1X1aP5TLYlIz/RuwzOF cP7U+q2CtZZWv/RUzvVUoStm/ZWwIlToidlgzeztxY6ZsxfskWePhsEUwtkLrXr47BsAkN9wXAvh JMr8f79fFw4/8qBbhUwX27XKENGhEVU1K6ned/aFvrNJKX92aV2jHl37h59jN2Tp2KFxUtnI5Par khs/drRULYyMiTPPfI2hmLmJ1orKLw0refaI/1rsfgnDjllYPOwyBmvm3F58sEfeWKOhVQ+ffQMA 8huBH+pllCQSGX4TKdms6czADQqtpSKRmJQik8K61hrSxy1wV6Bbn2Gqp03tLYduvCzVmxqa2ltO 3R8qVWTc3jvJcPSstW7uGq9a0sLRauKua+ly+f1D00pUGc6/KnbNM4LvShXSO8HTLR2aZzUedS/Y 9bBj5oNze9Wzs5gRfFem1LmEz8hz1sPuF9/RyLxvjPIrV8FvpIHmASAP8TyRpfU44sic2j4eWqc4 tMqofr6/Mq355GD1comjg5PEpWq9Drvuxek6MkqN3e/k5Kg6i8UwTPyT/Z39qrpJHDnbylTG2aVG 0x78T2Sx10p4ebhnsxruzi5V/bqeiEjSMw6clbPj8fXrfPBpvP519fSCXQ+7DJ+a2duLYZiPD/d0 qlfZVeKoa4n+kddTj1ZJ/aOhrpm9bwyv71O2wTCDvQOAvCKKj4/XzCh2dnZ5lcyMg8lwcS0aHROb 13Fkz7fRCwD41n1b305XSi9vHGLl3DGv48ieb6MXAPAd4Hs5Pf9zdpKIRGaelf1WHVmT17EI9230 AgC+E9/ciSwAAMgt39aJLAAAyEVIIQAAIBBSCAAACIQUAgAAAiGFAACAQEghAAAgEMf3QrSm4YuJ jWMvydmgAACgIMD3QgAAQCCcyAIAAIGQQgAAQCCkEAAAEAgpBAAABEIKAQAAgZBCAABAIKQQAAAQ CCkEAAAEQgoBAACB8mkKiX18/cSZq6mMMq8DAQAAnThSyMeHg5ydJOp/o59+irndv3rvS1mtOuZ2 /+q9srwWEYUu69d8wpqDa4Y1HHBaV82q2IqWqDRp62MBTfBxol2lwKefcqhyAIBvAEcKcay0NiY2 bml5x8n3wmNi4xaVdQjb/Khk7xJZrTps86OSv2R5LSWT1mvBvSuHNk4b0kyakK6r5raHHsXExj08 NX/r9ICsNsHTnqefB3vb5lDlAADfAJ0nstZGMn1dCqkeH70cXeTctHKe7pXrd76WkEFEoTv+8KtW 2r1o6c4D27ffG0ZEK+vUCv5zQJmi/5U5ejm6XWUHYjJWDW04dOUlIoq+le8SagAACTNJREFUHtS1 ac1ibs7OThIP70ac7YpEYmv5+zEDOgZsNdu3rRVnmWNXPk+pLmFkSXcuHrMoUouIMj7dCezWxNvD tapft9uJUiKSxt8N7N60uIdbva5/DW7YmTvmH2uc3/pni1plipbw3fYmWb2Wt4dbq+ErzpNfaUtT PjEDAHyn4jNjGIZhmLRPp70rTVE9Vsg+eztLei44nJyRun9Urfoz70TfnOHTcPSDqMSEN1fLuDpt +pDMKNIquDlpllHIPpdwL52SkTDvl/qz9v3LMIxCnly1aImQh1FyRieFLGlGp2otulYr33yX7jKf vZ0lEkcHiaODq3uVLf9+ZBTSAb6V1515mC5NOzqmdrM1jxmFdEDVUn8fCk3LSNnco0rZRnt1xdx4 6PynMSl3F/u3+P0ew8gHVy01L/h2anrC336lK3c4ySdmAIDvFvdRSPzTLa71W6sep3zYJHIfunW0 v7WZZfkydrZlbW/N2tt57bSKboVtPHztrDy6OVmnxuxIdRmiWSblwyZZoTrzev9s23/ntI7liEgk tu7Zstyo5lWLeZXt91sIZ7tPV3a5VHlByMZdaY9mx6V/HDzod3aZlA+b7OrtfPZP/0IuPS4+vN6r nH1qzPYr9sMrSh9OHdR5fli13zsXT43dft50WGCbahZmVhU9Cnn3rMQZc7JD75PLxvhIrKqMOHxs cuW0uH1nTIaObetraW5Tr1yRkv3K8IkZAOC7xZ1CXq1/XLHvl8sYH86d8u7WUfX4+rawDg1cNz1L G+ZlS0RRZ8Z9chpsLqLoKwe0ynw4d8q7V839t2WNajipqx2z5vDLyOgn/wTdWDMoXs7xaauDG/8d M/QHU8vSk0tKe03p+Mrbn13mw7lTXj1K2nqPosQrxewsiCj60r7PzxYsOHD3x/4Lzu5fWcPOIvrS vuI9G6vKnz71rlETd86YvX7uodn/uJu7ivdsQkSkzFh6KurnWk58YgYA+G5xp5CD12P7l/5y76kH Qa/r/c+TiIgUq6MsuztZ3U8Vf0jMeHtrT9dRh91a1CSiR+u1ylg/CHrduk+vHYH2XQJ2Z6paKX// 8p7CpZO9qYjdrkyp/PdNCill7g2cH+zN2BFYhV3mQdDrprWcTMzd+jh8XB6ZRERJL5Pc/EatXf57 BfmVOrV7JSuUCf8mpka9zJCnnV03dOE7aT9X7pjrdvfWrDnxWYI8/aM0/eO2qe3OJll2lFjxiRkA 4LvFkUIYWdzB9Aq1bcxVTze+Tv/Vw4aI0uL2xTkMtBCLgsY37VKthP/4kJnBi+Tn7hPRupepmcvQ xtcZfV0KVRi0vc6DqX9ciyGiJt7uzk4SV4/iASseBp1ZyBnNgHm/7v65eoWKNbYntSwkfxMrV7DL bHyd0d3ZiojadfQ6vP4lEZUbsdQ3Zn0FT6++8/+Zc2BNYRNRuRG/u1+bUsKr3KKrb6ydujmYmnDE /CJliKeNZs2l+/3ueDjAu2StC4VH+HnSoY9pfGIGAPhufeM3vn17tGOn4MCb6+rkdSAAAN8g07wO IAfFv74yeuy9gJOV8joQAIBv07eZQq4PqdVuX7i9Z5WAeSf7etkYXgEAALLuGz+RBQAAOSefTrMI AAD5H1IIAAAIhBQCAAACIYUAAIBASCEAACAQUggAAAiEFAIAAAIhhQAAgEBIIQAAIBBSCAAACIQU AgAAAiGFAACAQEghAAAgEFIIAAAIhBQCAAACIYUAAIBASCEAACAQUggAAAjEkUJibvd3dpI4O0mK lqg0aevjHG3+48NBqrZU/0Y//RRzu3/13pdytFEAADAKjhQStvlRo933Y2Ljbh+ctHV6QI4271hp bUxsXExs3MPgyS4V+84ubR+2+VHJ3iVytFEAADAKjhRy9HJ0z6qORCQpU9vUsiQRZXy6E9itibeH a1W/brcTpUS0sk6t4D8HlCnqXrl+52sJGZxLltcouScujYgY6YeSpfz1BJH6/lSHgWd3HPmzsIno 6OXoIuemlfP8r57QHX/4VSvtXrR054Ht2+8N42xLGn83sHvT4h5u9br+NbhhZ2OPEgAAcNBOIUpF 4q5ED38HSyJKCl/hUKk7KeXDm/UrN3DJ84iIv6qHT939mpQZqyIiDlh1uBv2elaNN5OWPOFYwmSs j5d0klgRUVLUSgvvfroiUGSEDWgZOOLQjkqFzJSKxG3RqelO/wt99aWe2Nuzeqz/tOzY3WfXgx4e vdahgQtX6/Jhjbu4dvv7afjrgWZ7Lpt2ydEhAwAAFVOt5ykfNomL/SoiIqKwbbdKDxydGrP9iv3w /tKHUwdNDk2oNnda8dSYHakuQ7aO9iei8mXsbO1tOZbEbkv3GGpCRERv91/x7tmTu30m489O/kVn HO1a2k7Vush9qGY9t2bt7bz2SkW3wqT0tbPy6OZknRqzidXW9vOmw9a2qUZEFT0KeTeulCNDBQAA mWkfhXw4d8q7Z03V41NHI7tUl0Rf2vf52YIFB+7+2H/B2f0ra9hZRF854N2to6rM9W1hHRq4spd8 uHjQu2ct1ZIDO8IaNXHnbD5kcst/fBf+3aH4f61nrmfTs7RhXrZEFHVm3CenweYi4mj90r7iPRur lpw+9U5XWwAAYFzaKeRB0OsmrTxIKQ0N/nOTRduOjlZJL5Pc/EatXf57BfmVOrV7JSuUj9a/rvc/ TyIiUqyOsuzuZM1ekvgkKen5k3RZ6vHFfVa8k/VztWa3/WzHsCmPG4fMaqHZeuZ6rO6nij8kZry9 tafrqMNuLWoSEbuthH8TU6NeZsjTzq4buvCdlLMtAAAwOu0UsvFlwt/Virt6lJq0O27PyXkionIj lvrGrK/g6dV3/j9zDqwpbCJa9zL1Vw8bIkqL2xfnMNBCTOwl5Ub87nFzWgmv8uuey62dujmYcly3 Hzr5QPS1RUWdJc5OEp/aa4ho4+v0zPWIgsY37VKthP/4kJnBi+Tn7hNxt+V+bUoJr3KLrr7R1RYA ABidKD4+XvO5nZ2dcRt4e6xTp4Njb66rY9xquds62rFTcGDutAUAANqX040r/vWV0WPuBpzMjevb 8a+vjB57L3faAgAAyrkUcn1IrXb7wu09qwTMO9nXyyaHWsn9tgAAQC3HT2QBAMC3CleeAQBAIKQQ AAAQCCkEAAAE+j8fWG/zmz040wAAAABJRU5ErkJggg== --=-=-= -- J c/* __o/* X <\ * (__ Y */\ < --=-=-= Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ Emacs-orgmode mailing list Please use `Reply All' to send replies to the list. Emacs-orgmode@gnu.org http://lists.gnu.org/mailman/listinfo/emacs-orgmode --=-=-=--