From mboxrd@z Thu Jan 1 00:00:00 1970 From: Uwe Brauer Subject: Re: org 2 odt latex math are ignored Date: Tue, 07 Nov 2017 18:49:39 +0100 Message-ID: <87a7zydln0.fsf@mat.ucm.es> References: <877ev2f0ej.fsf@mat.ucm.es> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="=-=-=" Return-path: Received: from eggs.gnu.org ([2001:4830:134:3::10]:39403) by lists.gnu.org with esmtp (Exim 4.71) (envelope-from ) id 1eC80z-0001RX-7Q for emacs-orgmode@gnu.org; Tue, 07 Nov 2017 12:50:26 -0500 Received: from Debian-exim by eggs.gnu.org with spam-scanned (Exim 4.71) (envelope-from ) id 1eC80u-0001f9-Vk for emacs-orgmode@gnu.org; Tue, 07 Nov 2017 12:50:21 -0500 Received: from [195.159.176.226] (port=55082 helo=blaine.gmane.org) by eggs.gnu.org with esmtps (TLS1.0:RSA_AES_128_CBC_SHA1:16) (Exim 4.71) (envelope-from ) id 1eC80u-0001eL-DJ for emacs-orgmode@gnu.org; Tue, 07 Nov 2017 12:50:16 -0500 Received: from list by blaine.gmane.org with local (Exim 4.84_2) (envelope-from ) id 1eC80k-0000kp-1f for emacs-orgmode@gnu.org; Tue, 07 Nov 2017 18:50:06 +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" To: emacs-orgmode@gnu.org --=-=-= Content-Type: text/plain >>> "Uwe" == Uwe Brauer writes: > Hi > Most likely some variable is not set correctly but in the following > a org file is converted to odt, however the latex math as left verbatim > But org-export-with-latex is t > I am puzzled. > Uwe Brauer Here are the files, sorry forgot to attach --=-=-= Content-Type: text/x-org; charset=utf-8 Content-Disposition: attachment; filename=test.org Content-Transfer-Encoding: 8bit #+OPTIONS: LaTeX:t * Cálculo de la $k$ :PROPERTIES: :CUSTOM_ID: sec:calculo-de-la :END: El calor perdido por el calorimetro esta dado por \begin{equation} \label{eq:inter:1} k= \left( \frac{M_f (T_e-T_f)}{(T_c-T_e)} -M_c \right) \end{equation} Los valores están dado $$ M_c= 193.8 \qquad T_c=30.8 \quad T_e=23.1 \quad T_f=13.9 \quad M_f=192.7 $$ $$T_1=23.1 \quad T_2=30.8$$ por lo tanto $$\label{eq:testderiv:8} k=36.43 \quad\mbox{gr}$$ --=-=-= Content-Type: application/vnd.oasis.opendocument.text Content-Disposition: attachment; filename=test.odt Content-Transfer-Encoding: base64 UEsDBAoAAAAAABKWZ0texjIMJwAAACcAAAAIAAAAbWltZXR5cGVhcHBsaWNhdGlvbi92bmQub2Fz aXMub3BlbmRvY3VtZW50LnRleHRQSwMECgAAAAAAEpZnSwAAAAAAAAAAAAAAAAkAHABNRVRBLUlO Ri9VVAkAA/TxAVr08QFadXgLAAEE6AMAAAToAwAAUEsDBBQAAAAIABKWZ0sjzrBNyAAAADUCAAAV ABwATUVUQS1JTkYvbWFuaWZlc3QueG1sVVQJAAP08QFa9PEBWnV4CwABBOgDAAAE6AMAAK2RQQ6C MBBF9z0F6R6qrkxjYecJ9ABNGbRJO23oQOT2gomIURcmzGom+f+/3/RQ3bzLemiTDaj4ttjwDNCE 2uJF8fPpmO95VbJsmoPXaBtIJJ9LNpoxzafiXYsy6GSTRO0hSTIyRMA6mM4DknzXywduvhYtdrxk 7MVrrIN89LfDS+2htjqnIYLiOkZnjabRLXqsi0eFYkkuCG60YDWdc3nUdFVc/Kogyj8qTPlifN53 hglIU4tJsGJsosFBWjvVA+k5U3x8esnuUEsDBBQAAAAIABKWZ0v5eYfWmQkAABFWAAALABwAY29u dGVudC54bWxVVAkAA/TxAVr08QFadXgLAAEE6AMAAAToAwAA7Vzrbts4Fv69fgquJ7uYLkaWZSdN 7I0zaDKZmS6SdtF4sPMjQEBLtM2NRKqkHCdb5GHmWebF9pC6WJKlRI2vDewArcVz4eF3LiRFWcc/ 3nsuuiNCUs56davRrCPCbO5QNurVf+v/bBzVfzypHf/VMNAVIYgEtsnFyPx0/u6ny3M05ALZ3H8Q dDQOEGVw7eEAVCHDACk+HFKbdB1uTzzCAsPmLID/awg+0C+T3ZCjV58I1uVYUtll2COyG9hd7hMW S3bT3F1lZUqHDB7cyio0c15DQO6DqgoU75w8HlS3QDPnNTgCT6sqULzgnryKIa+q4F66xpCDNzwf nFVgzb1L2W2vPg4Cv2ua0+m0MW03lNutTqdjamrGeDvh9SfC1ZyObRKXqE6laTUsM83vkQBXtVXx 5s1jE29ARGW4cIALvS7vRpWj5m70BFz2GIvK8aOZ593fdqq7v+3k5SHpxiX+OjIvgaj/ubzIxovw qvapeOfgswX1Kw875M7r4JwnZiuhMMG16a1mc98Mr3MS0ydFpoIGRORE7CdFbOzaGW9wrwhM4LVM 4DDInQrrTMIogGSJUMsMyRkB6ZR28fvlxZU9Jh7OCtDnBQzKZIBZFjGhnFQ6+gNTEJ+LIAPYsHpB Bo+2MnZyJyivHEDMhCAlbhz3iWVRh+TeJ4KqvrCrXGh4EoYHruV+NyWtI0ppjIRTU1mrfgJ96akr jD6pZyVoinijVvOkFvMNYYJCQ2wT5BDbxULPZXkxxWQoJkMxyRM9oOOwxCQ0FF6rsfTqfTzmHrbq COpIzOJR9yGm1M0KSmw+ERQie15JRPkBeZxx6YNgJYXvBMUu+o1RmO4Jurwq0Px37HP5zzxj2FpH KeU+DWyoQHcYWKFCVur/11/QJWX2mKMLvXz4V6kBc5xLsqA/5oI5GLgLPJOipVUoqjEiDIITqooA 77HF7YA4l+gDmaJPkb5iHHJ8BSisxr537gCzhwKzEkK5BXJKpVzYgivqXU2KgEkIT1jwIAPiLe6k MFVLc3gZJhybZTUmrlB4EnC1xLZDXfnalJCNkKwFI9ErYuuleUqwlKgW9n1lF/o4RGfhsl0izBz0 MRgTgd4zB7qLe0+Q0/9mUPsoRsBL7iP9CQQRdjJqDrXM9ITNhg/VnoiAaou6A2zfjgSfMAcWYy6H FeB3dlP9xVqJQ6Ol+BC7koDWv0QKgX/iMa0l/AoaJgxmKijKs7YR9nv1pu0pZ8SSqU6ph0fETEw1 y2yNIDFTmKShVngAoA6KJOUPaCLhEkukNkiYQtBoB+ixSBSMcYC4bU9E1DN8pjQYU4ZcKmHbBaFV 3ROq58gZxgWsZFzDerlT9GbIUbE6wK5aeBiqxYjQjt2gEPawGFFmuGQY6Ln5yAKYUwS9gwzBX4Ez X+Sxl6HZ2gCanebBK0WzvXY0W42D/VcK5v7awWw3rMPXGpoHG0Dz1VbNt2sHc7+xv/9aQ/Nw7Wge NJpHrxTMow2AeWi91tDsrB3Nt432awXTam4Azc7R9sM522yFm9jMXvlppLVAHlY9mjyoujENadgs wDFT6qgb8p23f0sDFfBoWKm2AQ8Cdbu52WhpSng6hF06Yr26rXwukrsTRWN8biRnGtHC8US+Lh5W 5InC0UW0aJDWP15s4MA9I65bYpyiFJsGlHnD7tSVjV0jwg7A1jj72AkPM5sN66ATgT/gwiEidAjj jKQbY4/k28P4z7dGwa+bi2GoiMLFEzBEFB8LdYqqL4w5FCthtXxAmo1ms2V7SHKXOui7pv6sBKFP 3yhCJSFTDNxiMfStQlQ1iFaAWX9rIHsWhA1Vpv72lKYFIVpfrepvTyauJqxWkYlbVL7WFGgrQPF0 azAsmwKeBWfF9ex0e+rZghCtr56dbk9qriasVpGJW1TP1hRoq5gVtqegVZ4UNl3h+ltU4pYN2hrX cFtU9NYUeivJ3y0qg5sKxq/BdXbv8vT8l/cfutlbmOq5kPD5Z+Ig8nmSeULxaYecR9xLurlpNZsr vLtZdTCbvsn5nJ0/UyGD2Fh9ERob2r2yu58edRyXfBs3QGN0LvAOnFJw8qHzbyzwSGB/nIfIzxMK SqvWcNNq3sRP9uXRTJTkCqw+Isqmb9TLfycyoMMHQwKa0M8Uxh+f/iw1KjY/bsKcxQatSvv5h5+q F/a5GeEM+uVeJN8nnu/igDw/B4RiSyr/R6r6L+u0KrRs42dVswPDJMzQVeieiuBuSYzKAIugepTO 8FQ6smrjJ23jtU2KkU8Cl7LklDdNUu1GMBZ8MhqHw4uLY4SIOnguefgdOtVkSf8HZKvlB6m2WJXw sFtPhi3H2FG/C0p3oQkTBmVYG5MxIlY3JXGBDvWljFO9G1hSzGIb0kTtsIhaIBzqfYJBa1e/KHPJ fan+hF7eQwlL6J67oqEXMUQ+1or19wWSWNXrT3y6S4RdIuwSYasWLrtc2OXChnJB715e9aww1J9d JuwyoUImvPZpYZcMu2TI76jV7byXbKZX/4Rowc9K4wDO3iFsdg6zdwiXcQiw5COKr/jhaiFWy5ni N+I0Nf6j5s5pX7lH2ajPbP3Z+WyBFcRG/LbvqL+d315+P2CXbtvituQ8pvxYpYZmr+YofMVG/P6N AXceoq6iFrV6ii2sHetfXUnyeULY7N0eBa3Rz7OoBBse4sUz+OWOuL16qx6SU5sAtQhbTM1714Xh h288WlxbH74uriV5YmFhTRcU9jVspBWZhU7Q/ol6GYei6a3WrwSrdFGbLSvSnOswbqbSUK/lMMYg od5SF/8ELlQ94PzWw+LW0NuutIkfxeh3QYbqbVmHncFB56A9G3YslebP8J39+YdrT1yOHIJcjCKw fMzmRwL9nHEHLNq73YuxAMY5AwlznjUvkh/Hwv58dyoSFGoqM+on5y6CSsUFgrR0qMORD99J1Aib u0BwRAAa5OCQGLvLP6mV96Gfs7gnzn/UKd+py+3b+sn1gIwo+xKfpD6+WI+LB8QFPV399rGu9WJN tz10rSrr9+h6KLD95fJmiL7v3xCjfzN88/gFvtrwlbx5RMbljR37MNRtq/gyT651yX3zMgvUBHQB AQtjAt8uisxMWxX5bBRccInulMeJrIG3//yDaX/XqoXtXg3g6SGr024coevPMAwHIQCv127qBnUN OPZa7YaVXA57VrvRiS4v1WWn1Tis7RWlwLMG9G+srPaW7jurTIc2ZGSAWcArZuTeLNoCAAbqB73r Hj3Wbnvtt439dtjftTfg919G4jFvfOKHZK6KJ5+kIZyfksv8m1lPav8HUEsDBBQAAAAIABKWZ0u1 JZsNWwEAABsDAAAIABwAbWV0YS54bWxVVAkAA/PxAVrz8QFadXgLAAEE6AMAAAToAwAAjVLBUoMw FLzzFRlOeoAQ2to2A+nojB710n5ADK8YC0knBKl/bwlQ0eKMOeVld9/ue5NkcyoL9AGmklqlPgkj H4ESOpMqT/3d9ilY+RvmofYker+XAmimRV2CskEJlndQe86NVEU7TurXRlHNK1lRxUuoqBVUH0EN Wjpm09b2d6NTIdUh9d+sPVKMm6YJm1moTY7Jer3GDr3SZOIiONamcPRMYCig9awwCQm+ErVT/Ddv y51Mq7W+WLe6bjAXII6iOe7qkayffLT52GcDPGy6tWNekgkqDHCrDds1gB4Mr8EkePTsJS6ZVNJK XgRT7EmC651xCyyOyDIgJIiWW7Ki8xWdLZyDA/v2TnVOG/ytmOD14hwUGGf6WHJRofgujMJFFBJ0 82JyVOoM0DO+v+17fNN7/QE+G20y1uND6Sao6td3EJa5xEPhECttAd17d/XOO07wz/3iqY/NvgBQ SwMEFAAAAAgAEpZnSw3zXz3aGAAATBQBAAoAHABzdHlsZXMueG1sVVQJAAP08QFa9PEBWnV4CwAB BOgDAAAE6AMAAO1d2ZLjOHZ976+g1TGOcYSpfU1X1kSt3RWuzZ01nscOiIQkTnFRgGQp1U/+Fn+a v8RYSZACd1JLdlZHdJWIhRf3nHsBXIDAi789Orb2AyLf8tz73qg/7GnQNTzTcrf3vb9/e68ve397 +dOLf9F17QFCDQbGwEPbwW/vXr399E7beEgzvP0RWdtdoFku/u2AAFel6Tou5W02lgHvTM8IHegG uh8cbehr+JWuf8cS73shcu884Fv+nQsc6N8Fxp23h64odCfnvqMCsie0srLFaWa5dAAfg7KFSd5E WbAu/2aaWS5tInAoW5jkxUjIxTde2cKPvq1vPN3wnD3GJCXFo2253+97uyDY3w0Gh8Ohf5j0CbKj 1Wo1oKmRwEaUbx8im+YyjQG0IXmZPxj1RwOR14EBKCsfySuL5IbOGqLSqgEBOEHV/7EtzYgf2wzV GDuASnODZk7COzHLwzsx5bLYdnYZmCwHn3Ai/d+njzEXkFP2XSRvQlUGsvalm8lyy+U9z4tEJQWY gVJxx8PhdMB+S7kPudkPyAogkrIbudkNYBuRxj1HpTScbzTAOXT4g9BU5Eak0Zk1zwYI7j0URIJs yjsorJ1xZF67wLGzzYukiqxbZJrKrFicyQCbGia6/sOCh597GveCkr8e917+pAlHu/Gwk90AA+om NGwfp2gvmI1EKRr7TVpy3/uCm/FwdNYeFgbbg8jlWPYxkTgorOkb2HkOGCmqYSklqnjjhciCSPsM D4pq/hXsPf8/pDzsQU9LVEny6lvoQmRh/jieCZGbyLK3AgOb2MZ6hGYJmT4/WM5D6CrkiVO6fP83 CxOOtFb7DStRJQdTQypfCd0gXt+JaD8AskiXVUK6Vzinijniefbb/YPl+w3fnglNCWT8ox9Ap6EA nNmZlG9BgBeDTMsWNs/GVJKwJtyA0OaDLfECLtkWgf3OMojPiPLzZ/oeYa+GAgsTiQw77vwdML2D jl/jw0B/vO8N+xMDi6xIPKYSA9wn6ngIAXV/Dww8gNF3HrL+wG0ANsk6XuZm/kHEME6zYp9bttaT rIo6uWps3I6DFex0NiTcANvn6AsN7QECVEuyjlgSKaODMPDIezAnLBN6LCuw97uIA1SUNYIAD7n8 ADMgECmk3yPyEV9x37ORHqwTrLBcE5LOhgyf5QYJQamcQlA81sSwe3ufiz/Ill9uH23ESdNCH2K9 uARmKonh2R4enQUoxL36xmPi+dYfWOzReB/QZzZwtyHY4kfQpQ8ML3QDhPnxy+tIFzDAPb3+HbtG 2g5WodRkUqeO+1vgipp5QV65SPtjJ1L4W0TCm8+n9ZGhng0fM2qMUndWus4o6cNn7hMGCjsraX8R Er1CfmHl7Y77HXTpfEq3gYk7E51Kdd9zPUwGx4oaUpKG+9A1gpBVeMDJuL1YAxiFYp4KaummhS3W JS/Bg4/ZKDakJJP3WK1JK6rBMgnEjP6wSx6SVwpKKfqUtmlKXxexTdGHtMdjmVxQeJI04xB0gOXq ZIIjaDc+ybQP/V0qS2MjoTPmhIHQJzJ32KR67SFiE4Rw2K9j5thg7xM2tyOCjryDQgz8NGWn3yHc 64G3hcGOzF+JHeaKQFJIQOVLGBCD09jEFwtOoyY4kQYcPJaakI8P29GWF+XiJfLbeL5j81I0gT7A hBGMwK/T/RCPHjAZ+pr8lIVvSNZEt2Jjk+fVyhjQuqUkz7coJwDue6kfEp0aWONkYFtbl8yXeN2K ylMZ+Rvoww0G1ztAU18fifcLdtRpYd1Tr2LR/vG+pw/7i/mYuCSc4gCEXRuuehOQTp8lDHjDBjkt 431nllIrqHxcReWsJHavexscWZU+qeJGoRj1h6O5CgqRcF4oJs2hmNwuFOOFGgn6/LxATJsDMb1d IGbjqRoJlnBeKGbNoZjdLhSLxVINBUs4LxTz5lDMbxWKcX84UXbaIuG8UCyaQ7G4XSjGS2WnLRLO C8WyORTL24Vipuwq+PPzArFqDsTqdoFYrDKQYAnnhWI0bI4FruNGwZj0h1Nlty0SWgIjlSpN3Fm9 p5PyhwCrBSCzlwolxCE/EZCxgY8xIPUnFhlOq/wVAlMKzmXWiB9Euyt0tTQu0aKc4Rt+8Pt4+Pva M48qycrEJzkAgbcnE+zpeJIEZu0FAVmaHfbHI9G/01AJjba7NNoO7AM4+inGRGFs/vgkQbSbExIT ehHHIYPjHreP7kgRbIjokKy5WXxcCkvyBa9UMHIaB+gqxxOVZSsEB0n5RAgqHf06ZZuKEcJxxDk0 ObkJIxuRLZ9oFRv+EfuIOi3KMSHidnoVKJSGdlS1DW/AnlhCi8BggRGo4QZiW89yA9SzspgnXdLy owg073GwwxV7gYb5awgZ4X/2jJS471kB7m+MUpH7uJhIVRRWw1UuTi+9IErnr6iI9wfcIT62iLZF 6ytEu0Xo2rYA3lkSgxyp3RfPoY3q6C3VF5fqT0XYPzHGkALxWS6wgOWj2V9ilh8g6ejue2vPNrNJ TotIiayUSFaXjRmcUTrKQMur4SqH1++hy1gDi4dP2dgkoKcDPzlTrzadxvl0Gl+YTuOGdJrmOM1q LEsPWopcaTUWqmtP+9G6PC3HhPaIOu6AqJN8ok4uTNRJm0Stx8hmjGudT5P2+DTpgE/TfD5NL8yn aTM+LeVutInfW6a6x1bdnrrys3q9aXssnXbA0lk+S2cXZumsRZbWomMjurVOpll7ZJp1QKZ5Ppnm FybTvBmZFpXJtGhCpozC7ZFp3h6Z5h2QaZFPpsWFybR4JlMCrfbItOiATMt8Mi0vTKblM5kSaLVH pmUHZFrlk2l1YTKtnsmUQKs9Mq3yyVQ34DrM51OcfqmQ6/CZUUnAWgy5DjtwUKN+YAU2LKBVMlPt kHGZRS72hQ3ZuXDfM3Bt5FtlVuKfoR9Ym6NOvjzA9R88ZCa+IquwAtuwNZmW8hCuE5riRmDswJ40 pNv2l4zuLatH95aNonsZpcsYWSaCX9C2NoisYFtL4dFWmFLaH9fYL5AmVdeu/RpJm7d2ksXaqqsk tZZBqvO2CZxR2Quxd9hstwv5m+0wU/c30b4XLZmrpc0iVbfAiC+apqtVUn2IOU2h1MTOuWG8QYp8 n6YnEmv1VmTbDGnRhxzNkTzah+tR2qw/HI7KK02f9mfFeksMu9J714p2rg1P9yxW26RWHrD3FmKI kZFxEedpZo1+nnhNpK9AeGEfrZL+V/a9dJH2eLZrUl0V2pfU3a0Q/wHYYQBa3h9XDoUaG6YqbPrD XSA52ojwJDWiStJRZNQa7ChOFa22b6yJHRfzsMMdhfPqs5J5o1lJRulGsxKZJxl74yKG1Nocl9iN eE3MaOShsjaVi2gHNgjMNz7qN/HQNQ6l8LSA7nHvn8vPyThnbFqLcK61a61NnFsfvjbDet6fDUc3 jHfG3q8I71qbv1rFe7VaXhXew+H4hvHO2JsV4V1rc1aLeI+wfV8T3jNs35Mbxjtjl1OEd61tTq3i vVotrgrv4XB6w3hnbESK8K61E6lFvMfYvudXhPcU2/ct452xVyjCu9ZmoVbxXq1mV4X3cDi7Ybwz tvNEeNfaz9Mi3hNs39MrwnuC7Xt+w3hn7LiJ8K615aZVvFeryVXhPRze8vw7a0tMHGiptSemRcSn 2MKvCfExtvDljSH+X6HHAst+HTAzIsv0cPiW4vupp/lfz8cRmY6XDr+g7XvPC1wvgM00KGr502nw K4LskBdsAsTdkOUitcORc2pytgswtdGaP5c6PnUjcWFAKm4/zDl7Q3V0fyKCrywcReCT9xSkqogD +Vl7Egrs4r8h8mvtwVAyogw2a2B83yIvdM348GXg+uwVVLF7YLL7gAR07OBdck6PG8nKToTnzxI9 gfQCywFbWO5w8mpqe2N7xvfG66xtU7mSR6RN+Aj84KPl1mJApIb8U4Vwtq82cN2a64AJhQ3iw4zf kysttINlBjttTcQQhxnndQKkzD9Ikdd18WuR9j8bQ/JfivL94XSVoj1+Nt8Hmu/Zlqn9PKR/zmQG lfTZkExpdNqyjv54lGEghWMG5IQ26NzMO1k1bHNEWqCnB2S0gb+o5vLAv0ns3ezUvZ9jn7c0/K3f smjoe0Wt+kYOyBcz3DY6lxKva7ClJUvi0xOwOtFvrW0rRftWMveoFGxDKb3PpAImH/G0qgkuAtrK ENjSi9snOBfrNzk0cdbmJYIinbWvvmtq3MBGLqqKj2rK0MhzXBlFhVyNOVq/gR2TVAjWnKX1m9jZ d2CpbxNkZ531ZULCoTfcZ5z/OU5ejEbZC1VsfTqmd4mzLGvtUSu7bbrD7arpyFVuWKtkwCoPKmsb olpAifNK88d4H2wbGxWi8WHxqclj4W5nuRT9+OTxed/zn3LfM3XvTdhZ14uco5Mgn1bVpHTT5nVJ 6U3BGeHpqEzbUbRfoytFiZ+RoyepL3yifFrdEEuTM9pbXXlhcZlI0G3sNOhVdjlLAJwDbB0gfspJ kH5MhUg/jKUoGVSt6PWE4Xm0xSyAW/lD37R3kh2fMi3yW/May0DvnP2O3DeeJlX5QytIqvpjYkqv nI+NaXrDr4n/jk0a2QqrKGyA9DQUlYjWUGb01FnosoOgqzIHj/HTRtJ/94rXvqp+EB8g6zsMdri+ 7a5J06nAvJ5k66tK5IXIgPnrwyyPcmW4pMw5S7IFa4up8nkLtNlrsFU/hrLUnwLeinG9ewSk/J8C KxL690x1W3P61STrpTXK1+9++fD5TsPVaq+2EHe+2gMp55dYqvzmmZ5SjsIo9VsvwxEOSsSqTsZ3 pWlK75EnAyvfAbatG2Dvt+/ymIzqjqq4eV+RhUdRwcl1IuX0KkrrryryQ35z+be8Pstb3jR7SxFW 5PrsAPsPdVegynHKuyfmYF4ZgfUD5rc7P4gYFS2E+YMLzvi2KOt/wiOZaNbsMnJvaG8j4EeWmo0d NEMbmnmiltOLqKHYL0NgkpHWGV9Jt+ec933+WXUalfgHnoruT+Py5Tz7Nzw/herRKPdxbHp3Z4Ig 4370t4AEkHk2Mi1w8KDP0Pn8j3KXMT+q6Shy05rue7YnLpKPMhEJXg5eDOSfcrqDLWHXvJojBCiz lqhY3PaXYnjz7vPbrMFNnsZfK5YOSg8zmhj+Z3HvPRmrPRwdXIev7pminFoqWwViiXWF+GXqd4l8 WjJTzTcB19h5qOBNyUx1pozx/iM/xMnabPmXWmeA4bK+gax93blgq8Ks2xVlXUeQDyR660JxbtJ3 NZIilyZnqWJLYgsiiXot2RZEG7jbEGxx7X88PvZYptAN0DG57/ZMwRKWT8gkBmdUMpbEhRMpsohR qWjIpigXpdGSFVH6hUQ+LePELWzZ84T2+bOTU3qYEepsz54cv/2xvXsUwWv872MikH3AmZKt/UEq NQC9LxWD7+1PEhA5kvYkQryLIsqsZHLhQEpNFa+6ZofwX+fU0+mq6jjrDLbTFHGpYPq5FLuWj+1g aBChbBtGrpvHig90TGLqkcw+AU63LccK5AowFd0AzymisHI9XGk10symJr5xNcltyaPZ6a5kcqJF KoKeFXsm4wU8s8Imp30gu5F9DHxxFOQt83q0RBaHsoeUkZU2otkVm13RLB9r7QKq20KVRWUblGRP SaU6lmnapwrniombVVWlXMBS8QEpU5xqHMn+hWF0aHZyvYg9cyyEPCStPxm2hTWBoBH8Ffupf9cS //u3nmYicLizQ8dysT6xIkn19BkxSAT8QHqEoCn92iIIXen32g7l8lvgOEAIzGvEzdUtF6vUp4MV 7nhoIv1YQPf2wLCCo6IYu4PbF4uJiRhN/jcHp/zJcRZ80Riakb8odhdRmY5ZzxIwm8TYhikp149U W8cu+dWPkCR0xfoNGUUhyDAo67w2yHP05h0MrUbeZ1i1jyn7tVcNV0gJwemROyLJJgcr1qQr6ZIC l++girFs0oXdMHYl+74iBG+gN+z6281KHcgHl8wto+6juPdgBc4+YAK+buwAqmi2a+BDectD28PK WIMa/wyuzPeV6g/mErO9mrppNsGrak9yrLpx10O1WKCaHNfFCzZQ3rkUdr3KqYc/HfR6+GXkHzrw 93jsTq5Tr9FOPpGt3VDJuLppa3tDuha1xpt8w31/yXFb4uOVnPDRSC7WUtzoKsd90UzuHBbz9Kdm zWJ/ZUdylU1fGmR8A/738oM0krvBNxapDen1vz/ir473oLxCFrBHJ3f0uOTICLu17QuxErr0iV0v RHRBWsUpGxv8x4iUkTmDOZm/qCLe49bP4Sg9peF7zcWNdwlKJBa2M07cj5e0xQV0cY301kJBEJqP b23ntxny0JbMoLy1dFyF7oebjfVIjkaTHrKTU0iFCQ1JMqS7ZDmJL63qAGsS42ZAHoq0wRon089f HMIDVrei8lRG/gb6cOPZtnfAve0aU4EUCcC6J4kgvv+QFngzT9/SFd/xJT/wS53NoWw/Z0keSBVh HD/DqIBxVA3C0cXgmzzDp4KvuhWOLmqF02cYFTCOq0E4vhh8s2f4VPBVt8LxRa1w/gyjAsZJNQgn F4Nv8QyfCr7+rCKAtMBlIFw+Q6iAcCpdGFoSRFHkMjCunmFUwljREqcXtERyMvwzhicYzqqb4qx9 U5RzxLHBvGCQuCc5Iw5Er0jODwGtQ9uGQZIjpSlCs7Ea6PLjfe///ud/nwIfMOpZbMiI9VRhQukI 85c9dPmXIoNcDjEMKuJcPkb0hHFeZtu9GullNau/EqzLB5SeLNaj/ih73qqOHY2qzVqvBOvyUacn jPW8GtLzG8S5fHjqyeKcGUpsHEi8EozLx66eLsb9abU+WhS4NazLB7qeMNaLan20KHBrWJePiD1Z rCf9St6bZb81nMuHzJ4wzpXGYpObHItViKs9WaBz49mtRLO7BFsRfBPbFhmO0NRoPI3vW8wLy31B W1GGFKmxB6v14Cvjx5pcaEW+F+3PJzRqTdMcgghFnX/iKJLzdVd3Y1LHbRv1x4uLNG1yhqathpeB bdp528b92fQiTZt13rRJf7S4DGzzM7RtObpI0xadN23an04vA9uy87bN+uw+5LM3bXWGpi1Gl4Et vna7s8bN+2322zljntd0YFRtzCPKFI55Si46svqKF6WbjagbjIyKDrATH2k8BAClTnyjx19hWX2I 2fCo+2dd5buEYqsMy25Br6oVtcvotcKY8BYUq1q+uoRiqwxIb0GvquWiS+i10mj4FhSrWqO5jGLL D8VvQa+q9ZBL6LXSPOAWFKtafLiEYqtMQm5Br6pg/2X0WmEGdAuKVUbXL6HZKtOviyk2Z1b3FrJj j8nthRUmdlKxxvFsMQNuOD/rOjTdUEw+2+k6ytxYSjZ36Dpg3FBMPhLvOvbbUEoxru06jNtYzOWo GykXLUopxlxdB1cbislHMF3HSRtLycYDnYc8G8rJe9eG0cuCvuwBGa/JVSnxAq04xKNhh9bxWmw6 2bTIsbz08OD+KLnuzm+Hha55tm6y28Xaq2m7svPteDX3ahqv7NK7Xe69mrYrBwodrwdfTeOVw49u F4yvpu3KQU3HK8pX03jlUKnbJeerabtyANbxmvTVNF49rOt20brbxucNFsk9WT45Wm5jbUNEb/DV ogSd34q+4RdqcTkNftWveFHmNWDJ3OSUwcwiyau6kpoX8S+AyPWr7NIH/lBI5kt7MdlR31IZV+xF 1Ul9pmeETnwna3ktYJUzJZzKaKlllN5ADjKM5VC9KfPidW+zocGw6HPsbB3xSmJdsDNtaZrlGgg6 dFPqjEr2Ew2LkXvtfg0cmwTerM0xcbndiwF+t2Xw8/nIPtQX/EF89V+UlH2S46ev0aShyumVhB4Q JU5vjA9DTAYVZctIHqf4z9AnzdJ9rHZcM7luMXFPfdZ5lIRE2BiPXhgk27J3RrHMOE/o07vE2DUo 0EyJG1WSEpimcCcwHkmbh2nCjh+bOV71F5mA81dgPgW6hyzcasD576EAASs4OcVVfHOQOsU19Tj+ YOz0bNhxLM0BYYphKvNt10gP1nEMlxml7oDHqC3kSM2EC41y+XAv6hRecThaxm8SzpD7VJJf8oup PGCDwVdmka9xk4/zBCbhCDMM+Qho6dqT8Sy6Ake+UE5cAxWRSI23zIgdBCaRj/wYyAkbSvb46IN0 CZ6eOs0XIxPpN/rUoPb9DQn3Yh4x4Yl9kwtyyEGhktFEDU5LrVBEOZsaP9vNLdhN4vrD6zOcQSMO Tq7Ar1vP/HzC/Kzn2Ntx6x057qnKaNgx/0/fo5e9TqixTanP1n62uOeh1KlFzq6gG3seZj0b1e0Y VRTmUEQ1RMDDAX5Ukxzt4M9JhQlDfBD3hmqnqpciCacq5sqlIZv96c4vEkt5yVNJlXIA04c2NAIq y33PCBHtgl7y6J+UO3qk0JWsJaltJVr8BW2/WYENv0r3yilbHS+iwsfTu2yQ5wafQIBfQSsalHtz ulje+ydn0PqgMx2/t5AfFLZxmqdjWvqWdVDY/Nn1Ni9yNimPEj0X8eko5f8BUEsBAh4DCgAAAAAA EpZnS17GMgwnAAAAJwAAAAgAAAAAAAAAAAAAALSBAAAAAG1pbWV0eXBlUEsBAh4DCgAAAAAAEpZn SwAAAAAAAAAAAAAAAAkAGAAAAAAAAAAQAP1BTQAAAE1FVEEtSU5GL1VUBQAD9PEBWnV4CwABBOgD AAAE6AMAAFBLAQIeAxQAAAAIABKWZ0sjzrBNyAAAADUCAAAVABgAAAAAAAEAAAC0gZAAAABNRVRB LUlORi9tYW5pZmVzdC54bWxVVAUAA/TxAVp1eAsAAQToAwAABOgDAABQSwECHgMUAAAACAASlmdL +XmH1pkJAAARVgAACwAYAAAAAAABAAAAtIGnAQAAY29udGVudC54bWxVVAUAA/TxAVp1eAsAAQTo AwAABOgDAABQSwECHgMUAAAACAASlmdLtSWbDVsBAAAbAwAACAAYAAAAAAABAAAAtIGFCwAAbWV0 YS54bWxVVAUAA/PxAVp1eAsAAQToAwAABOgDAABQSwECHgMUAAAACAASlmdLDfNfPdoYAABMFAEA CgAYAAAAAAABAAAApIEiDQAAc3R5bGVzLnhtbFVUBQAD9PEBWnV4CwABBOgDAAAE6AMAAFBLBQYA AAAABgAGAM8BAABAJgAAAAA= --=-=-=--