From mboxrd@z Thu Jan 1 00:00:00 1970 Received: (from majordomo@localhost) by pauillac.inria.fr (8.7.6/8.7.3) id CAA09179; Sat, 12 Jun 2004 02:09:23 +0200 (MET DST) X-Authentication-Warning: pauillac.inria.fr: majordomo set sender to owner-caml-list@pauillac.inria.fr using -f Received: from nez-perce.inria.fr (nez-perce.inria.fr [192.93.2.78]) by pauillac.inria.fr (8.7.6/8.7.3) with ESMTP id CAA16981 for ; Sat, 12 Jun 2004 02:09:21 +0200 (MET DST) X-SPAM-Warning: Sending machine is listed in blackholes.five-ten-sg.com Received: from postfix3-2.free.fr (postfix3-2.free.fr [213.228.0.169]) by nez-perce.inria.fr (8.12.10/8.12.10) with ESMTP id i5C09LEV031565 for ; Sat, 12 Jun 2004 02:09:21 +0200 Received: from detritus.baronie.vez (unknown [82.254.36.170]) by postfix3-2.free.fr (Postfix) with SMTP id 42750C2F0; Sat, 12 Jun 2004 02:09:19 +0200 (CEST) Date: Sat, 12 Jun 2004 03:13:54 +0200 From: Nicolas FRANCOIS (AKA El Bofo) To: Liste Caml , Liste UPS-Info Subject: [Caml-list] Ca marche pas, et ca m'enerve Message-Id: <20040612031354.01a6603a.nicolas.francois@free.fr> X-Mailer: Sylpheed version 0.9.10 (GTK+ 1.2.10; i686-pc-linux-gnu) Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="Multipart=_Sat__12_Jun_2004_03_13_54_+0200_s+ddCgJfHxEZIrKG" X-Miltered: at nez-perce with ID 40CA49B1.000 by Joe's j-chkmail (http://j-chkmail.ensmp.fr)! X-Loop: caml-list@inria.fr X-Spam: no; 0.00; representant:01 pointeurs:01 ocamldebug:01 futile:01 assimilated:01 garbage:01 nicolas:01 nicolas:01 bofo:02 probleme:02 overflow:02 collector:02 stack:02 aka:04 decouvrir:94 X-Attachments: type="application/octet-stream" name="castor.tar.gz" name="castor.tar.gz" Sender: owner-caml-list@pauillac.inria.fr Precedence: bulk This is a multi-part message in MIME format. --Multipart=_Sat__12_Jun_2004_03_13_54_+0200_s+ddCgJfHxEZIrKG Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Mais c'est pas trop gros, donc je joins en attachement pour que d'autres testent. Mon probleme : ce programme explore les machines de Turing a n etats, pour decouvrir les "castors actifs", i.e. les MdT ecrivant le plus de 1 sur la bande avant de s'arreter. Si l'on cherche les CA a deux etats (ligne " and tablesize = 2 in" dans le fichier main.ml), ca marche. Par contre, j'ai une erreur de Stack Overflow si je lance le programme avec tablesize = 3. Ca semble venir des incessantes manipulations de listes representant le macro-ruban (fichier macro_strip.ml). C'est bizarre, je pensais que les pointeurs de "cons-cells" n'etaient pas affectes sur la pile. Ca plante, avec ocamldebug, au pas 770000 et quelques, sur une operation sur une liste. Mes manipulations sur les listes sont-elles incorrectes ? Comment faire pour aider le garbage collector a se rendre compte qu'un pointeur ne sera plus jamais utilise ? Merci pour tout conseil. \bye -- Nicolas FRANCOIS http://nicolas.francois.free.fr We are the Micro$oft. Resistance is futile. You will be assimilated. --Multipart=_Sat__12_Jun_2004_03_13_54_+0200_s+ddCgJfHxEZIrKG Content-Type: application/octet-stream; name="castor.tar.gz" Content-Disposition: attachment; filename="castor.tar.gz" Content-Transfer-Encoding: base64 H4sIAPZWykAAA+w9W4xbx3WkdhOLjJyVEwc1UAMdK2pISlya5L6iXa1qPS05kqVYMuonCC55l0uF vKQuLyXKlZo22yhYLAT7q0A/g34ULfqRj6Bw4DSoIqMqkDboAwWMfgT5KWDXadP0J26jyj2Pmbkz l+RyZWupKuG1xXvvzDlnzpyZOXPOmbmzpWLLb3hPRrbyymans3MzM3DP5uZmsnjP5qan6S6vSC6b nc1Pz0xNTc9GsrlcPj8XETNbypW82i2/6AkRcaulxsZwjtcaBkPDvUrc/pmy03Tc8taUkcXG5fYe 3P75PMDnpyFbZLeGHfsatT+2v9/2qm4lU69Vt6CMAe2fy2Vnqf1z06Alctj+U/mpqVH7D+NK7tnk lYon94hj1Zojgr4i5kVrpeg5ZVF2lqtu1a823JYg0E1TjTdA8YhD1Uqh6vpxIQSWc+5y0xGNZeEX l6DAklOrEVkfk318FYsCwQ3QerHkNSZtBIHkGGmpWrHxTjUuOi3RcIW/4oiW71WbQQmgDAHw6UbN WfbFFXjwqpUVwjrrF31EWyY0KHOl6joGby3MDwo502iRULCcomSR2NAIzUYLwK+Ik1zUc7qg6mtO VzHJqivcdn3J8TCLymqljMIRJxAMYPpSOKVG2/Wh/waw9Sp2eEjtjQDi6oGkEGRrZZZkq8Xvdy8e XR/1kvr/VPErMIJrzpaUMUD/57PTs3r+h9kA5//ZmZH+H8p1+vDBUycPLzZKxXqtFKe302fO8Xuj 6XPKmedOH5MgTU45cvQMJ4CqjJ949vDJ548cPbsowtfnRRGUnefUnItF0ByTJwTQpElixfEcJnXs 5MGnAXV3UpFJoY5rZUr1IlMol0UD1KCncZcb8EzcGGSAa6bUg1CnuDEdSGBK8c+TFqxVWz5qwcbS eafkCxwYDN30GpVc/NChwulDz5xdpMkGyDcEatOCVNOcgKq+QNOK8R4gvIIznUw18WAWLReWliRO 1cUHKA8qZxfZCRfZCRXZCRXZ6VNkxyiyo4rsxONLS/PQJLKmqXhsd5J7SkpMNsTSkpDvJPKUCQmY GRDTck907EiSAgFtTAaahamo6geEIEXRwcYLUg1KARY06+FGvQ6TsNeGpoxnzj5/7NiJF46enRdg xggyZUjk8ENPIABIxKR5s+o2t5MlsXs/AVYRb1OQSHverkUX7xIaeK45RVe0m/ESPgCaVxeTyyh9 rrZK2ANUX642Oq8i0hFy5By3VIWKslcXFAjDNmWNtD1Ud/wVB4R0AuPxqluqtctOkHC/tdTo2qpL +X+kJuq1LSlj0Pw/nZ1j/28O5v38LM//+dH8P4xrU56a4fvJfgKen+8VXendsNe1Wb9P+XznyI+M szNWBsUszhGdHqR7+Ft1RiHH5BwjLopWtQKzHPzP/grRgeTfueRVfSKMzteCqIPvh2+g3haE61wq sNs2L/23qzYBZgSdtHPPHXz2LDHDlK+I5589cvRYgdOviOMHT54LcCVPJpGi5xUv828cAC8WawLd ZioZnbfJAxJPZpYazcuYybTCuWDRFJgRC4QcTHzgWhEWQcFTG0ozsFeKNX8QMqHQLFA3W2kRneZ2 yX+Q5F1zfJY3kj+IqZk6OD5gDoHV1BF5SDcKUBjUCOD2kv2ECQF2zXEr/opAqjrXT5BLTaXIZEHG YxXSs8JviJwoN+IxTDqvktxJTkQDzS8BxUyymsokz6fEpaq/gulCySPpe2AjHIjHYn5CQ+2flJlS 9CAGL0OPCwAYI3xuBsrBJyMjaBLK1a9XU6pklDR1C6tIkr+EKGB2EhDKDdeRtcbHBfnsJ5Q8g27L TeY5xTIHM4TqQKxmkpgDhVGeUUeCShH7WLhBlvpzF9X+9KgC2Lfvtxq+b1do/t+K8O8m4r8zwfyf xfl/Cv4fzf/DuDYXqe02AKofxwIYmQC/FCbAvJT6r672fPAvqf/tsNA9ngcGrf/OTCn9n4UZAPX/ 9Ew+N9L/w7hIDZ8qNqU+puFsqmaZr0OLZoJSRLYi5rxT3JXAamaFbJCXLwx3lohaSQyllSh1Tc9p tWvKBr8iTh08fPbc6TOkh+XanVydCgBILxMEr7hJfRYAHH7u4Esv0qtUh17btTWhVsgGD5YetOs6 H6r8g6AX1fg3o8n3Ogw0YPxPzar1fxz/+Skc/7m52dH4H8bVNdbl6LOHNPYOe0SHh3QwXAFWjVYc Z6e/RGNQrb/v4dX1PeYKtB6a4M4Bhh7ZBo4GljD9Bjfn9hnZxGvGGN+qAGus44o8jXldkbg95i1h qCiILQ8tjapbdjpyif3/n4SAJadTcmg5TBwnwzV4f/6ckiCxTRqCde2ipGnFVerFTst3mmhrw1jO muGWgoHbEbxLIQiX6GBKCdxzsDcpP0v5RbcsOhhO8Zxl0aGk3hEVbjwZWKHYCXr3TwAuNJrIL8Rj 8Di/SClPinyv8ISuB/BKrBb8RkHJtxXmui2ZynYzZPByyQXessRUm4pvQzvkxV7RQhZ7cPFEOx6T fGCX5Z6qmUDCtF9Es6HaIyxlE0VLEsopYBNJLO6aMkIiy5fBJ46W8FJikuBSQdiEA1JXrFgMxaOQ gIWDbUD5OhKl+KZ8ipMtSwgZm5J7bsDTcxlob044tZbDL5M5FDfHrCSNNKNrDw45U8Eqr1gFTOzX MdtN03myjxvRO88poegLxTbKBvszS0gOZNVbvMvxWFCRNBSvQk0bSJl5X3IqqhIsbpZWYn82zQ+L 2GppKvyAGlVmHBDNF1A6TrqQLnAgUKASSSZ7d11iA0mm0nIjUzpJNPfmUprxVEC6kGbid0saG24Q ZaaN8pcayMqjEKISvqYktHBZPIiD+pgxVW88zk1OqnET7GrqKeobjEtdxO72aVmHUC/Ran2ZByRv 36Jei/QnZafN2ipLVS1LagMoYFXuc/ixt/13b8OAA/2/7LS2/7JzuP9nemp6tP43lMsKw42Mvk0Z ffO2cB4EN6/v1Sf+c0/LGDD+p3HPH4//mSwOfBz/U6PxP5TL2n398YNBnGBMJqPwkFlXtWJ+19WV Sae9suM55cJh3OBu0YFSmk1sI4VsKqghCwstJG0G11uijo6K4bV00uizGDXO0GItQJrL6B7AWFXL 4E5FkQRssMpSSFVbVuRGZFiJmYvZLV8Z7GCascVebyXSJcgCmrxyUqhiYoBPnoh+42UjNtiTiFsH 2RXkxndRCgBJYsiYLJEMwKQuZVAR6RCh7uqklIcaeIb0nYPtmMpvAOztCbIL9XV06tDuIM/iEraT 9OLDng7CgOSghgnTy7FQq1LGRALBcIFJyYrplqQsq/j9Ars6+Eqms+yJSS6KiZD7gLJkVwHQzH4j K0gI4gAGHhhMkTOcDGoPs8IJxXYCmqmbT9WOysF4tuEXlqFpytrXNRy5Af0aRISQMfb3zKGZCRqz EzRnU5YaE2xMJcHFbErhp5RfpkrFDqJXOc1Ou9hJGHs89NZfdrSbvfLsodMLQn0BIoVVaCzzOLjK FQy4QtkmukYw7sHWAzhgnBqCCMS6umRC90klD+ojIJFSlyi4We0mYFlgJAgyNTTGQzbopclw/VKS vT5dlBmj3kaepO55nMGOZSeh2k+rVJUmuyhMHdDTTrj0LZVTONloNC1yPb3JpFlbWkpOplIiaQve qTf9yynwO19zvIaqbDzGsxWp7fttiIyu+3JZ9v8W7QIetP9nNp9X/j/4AmT/j/b/DOkKmfxs5wc2 u2VwmhYs25O4FGA47OhFG7Yhb56sN4ueI7U+6CWeykBrShMDZvSO2H8ANHRcz9wdManeaerXRl4L IVsJw6iDpMkghQ0FnmabUI6OmvIHlmkK04FGzXIafW2Zpl8jlSApFpnjBHqezFmmvenMyK1Hpitj Oklx3HkZbJtROhl8CXjKnCUemd5XnMsgUUvmGT9kvau5XtbYmvHndWssmLO93OYU7zPXqz1PC9Yc Py+dgKuh4oHHVte8DolhLtlL40Ct7Q9pcam+1FM6iyQd/C5RJC2JpB5ggeB4MZm2kfz7EAu29D+H voet/+fy0yr+Oz03lZ2m9f/saP1/KFd3/Kd3MDiwMfUey2Cp2LJYg+Gp1Z+xyRG3EsrNhRzqoMgK uknzKvxgBml5UpFg4TEd0OmiGPjdFlmMQoe2OPbAKcjtmAPQzDgJ4tOHlA3XsXCXGo2a3snZRo8C N6+amz2DYkxi0rM1SWELdUeXVJsE6nRgu2AIowp1Cc3eqnh1yoILwqh1g3F7MNBKsbas9wRosvj5 rN0JMDuA3WNR32NkWR9pJMFEEC+/mk5meYpOpV9+1QwxUa9ZFMttt0S1LaTRyEjx1A1Pipj0AE3Q SjpZQFB05vGF8MoKoeL4BrAMcr38KpkIiocraNFAW6bm5y+IS2iIOBe0E4mdADu6TiCGLgSILqFR ahJeW+0lDepamAiXiusPHKxaaHIJSY/Y6CQWO/QpRidt+rXdZCV6TQKHsmuyUFqOtyXXSRdYckFA L5GuJBZJbhVyrcvSrQZ+y9CYopJII5uyGcsJ1YJkeW2CellSLxP1SkC9YlBHu80gTjN9q0dLyj0G UG26t3yd7ilLkB8ohySvtUkLecBGIOpJ1bUwnKG7j1P0C+hm9+tDvPXAHpsyH7q6mxoARDCy+7hp qxlN5z5dC9gBDmuGub2YDUxtzWwtbG6zFV3TAbA+/QxZiG1UfrON5bt9Om5iEz2XgUL91aVOavRS 1NqDupKbruQAiEVSMcOh2IXzQvbhnJnjhkNE9lAyQctIXNY3QT1fyjJZyVsDAPdHWINgc8yXA+bL IebLivnyR2W+YjFfMZnPWcznDeZxGCDvg8cZQ/UZajIzZjZnaQVTw2ob+NioURPhVh1Gs27UrndR i7JRi3K4Flvfvhs0MFei5feafkKtrOrbv6ktCEu7ykJIwcYDFQRJpIOY2ys0z5P8CrbeMPpiOQDW OUYltKrWJluwgILrIipZ73e06hxo8uVioC5pXi/oeR0DFVlx5UqY1gU7iNt7xMf6old6pJWDD1W1 gRlaFeIcsuCCTWwk+1JJ7WSUqT32XBK/sf4bLgWRwf2NeN8rknrjZYr2/Nl7L2O84TGGwL0WpZhX NAll/ZjHPk2giIQMKyyWKl7qdK9WJE1xpOSCFI0mBreW+FyiYcMwR9awQyBMVitCXbVQeJvrAMR7 rUWLoMkuWuY8KyqpeAwbrVSSB5xtWFsJ6zHpjSmX4zGujllT5spaMZMlE1G1bKY1ObkxlvYrBIov eRJcBbWKV0lh3zFTyqlf7Y9zh3D1jP/c46+AB+3/m9P7f7K5XI7iP/mp0fmfQ7lGIZ8HNeQzbzXR R1WSPdf/hjz+Z+f0+J+am5qh8Z8d7f8bynVX63/z6p0OXQ3WrTZcBxytmN3Niln/BbN5S3j3yiiS 418dArglJ4AN/P5zKqfP/5idxfE/lRud/zWcq+/6T3gLcJ9tv2qbrz3Kj2F3OnSo1/ZeOdlVHJd7 vH1yhQyWy1v3URTsNUj4PQRHvym16EATKe6bmg/TUji+/v6AJ19zfjX4HrRV95Te39xj/27waUTL qVeDtd8uvm1vyRAKQ9aLHaly3Ha97ZbBJTfPNVIRXZ25KHI6tGt4+URM78bL8IFWVAD6d5xoH5+U MMoBX/3lJKemNUPpbOrVcMSYHD4ZOZDLJBxPwOBvveqKpEbH77qSye5dqikMKigfsivqoMIN9tFZ MtE4fStcTc5GTvzEgHzaP6gP0aouCOvDxAXrqKzzVy3EvpgU9+qPWm/JLyHPi/3C5bB80PC0b9UN oFVbI45u90neqiKMzyODVpVnbSXsg7YSC/0hw6ABbA0jOUkfOkIrkdaspObnIa1H4hM12tpIR4Lp uE+NPnuT3QWHqks7XwuhmBXGgjCbNjmWVor1JvodrVLDc9Qe5X5BIQWdJmjephlEiajJ0/RlJXCL vBpBo66vM63RnrH3XjPL9peZaocoKBC1P1RtU6Wt0chRQodeyDUISOmdwnJgy91Twe5UxmYh4GCP BdudtayYPwXKm1wvSEjqTRtL9YJVF7lNlTbsGtW4kKBwdLe6avmCZUoR3qAyG5fJUR8wjUAZI+0L KYsJvbF2E5yrT0OtTwnkcpwenbkNx3XuqoWtFUb4UL+ugUNfdnJpynYMWsWOrVkvoF7T2XR+jzuZ A60aG2bQS/t/VXerjn8daP/lZ4K//5KfmaK//zI3N7L/hnFt2v4zHo+xs2C8HDoUj9Nar4eBZ2kT yjMzjXQecn0XkBgKTUzw9XY9vat7BcmGOLILpxEajkEh0lzCtS56B03hiST+6oC4K/aK2ZlUKkDt f6KnXeLkRteuBQMD9EkNZZBMcaplx7hq6YR1hF3GFbFrIZRBH7+HExlaGOCWWcS2kj5N9HyKTsUI 9sPaZ4mapFFGxumhPUtNY6lWlv6miY8W3SSWMjGCAxw0ABlEiyKr3mmS6668yuatvzE5f8e65YRF x7qbBxLpuwvjlNNuceTuUg5yVumLdHzX/axm6CiMEAXxPE3fusTkHrFUfa3oeXS+I6fpM16Dw0s+ /kBhFVLQSiP4uk3MxqWVTdYGp00Fw1fbe2hOpZVxKDVThmzMAFOT7TnCTwIATYmiCEpqWfxYWNzS 2FCkelVcvAeduCUcsH3mN1QIG6UqBarq9VHpKKZO1ES1Dkl1x66NzE/yHfWjsYOt1ZOUaIOhU2x6 78LvxUYVxYRGaq26Wcp8nElP0s1iK9Ovb9zvefKX9eqK/23BCcCD4v9Ts1kd/wPTD+N/U9mZkf03 jGtT57896OG8eV2FkR4JXdb53xsOgI9+DTr/Iz83rfy//BSd/woe4ej7v6FcXz168lg0GtXv0chY JGrkvzLG92n6TUZikU9a+Gs3v4Pgb34Cft67/eGHH77/8BvmtfqTHWtHdo+vv3D7xvux1R9E117Z HQkw3kUMyN/+PUxavTM28foj8PQWvq1f2R1ZvXVn3y8mXv8pviKV47dvvBfb97OJa/+DKSebd9YP 3r7xbmzfOxPX3iWYF+/8KeL6x1c/iE78wZ8x3vYA7/tdeN+ClPNj1wHzDHGz+vb299vXL0aufzeB 9VvfTgTO3L7xb7F9/zVx7fcx7RwQOMQELra+iWCr7z72x3hfwFpFvN++/tT4raduR3YAcGotuV4d X1sZXz+xfe349uvHd946eDsyDqKLfvn6kZeCYtfeWb25bd8HE19/BIXyn6t/vW31g7GJr//0zocf Ig+rb++4SaDvX6fb9b8g/pq3b/xHbN+PLj6z/soLd9YPE1d/c3G/5Gq7yZWQXGHZO89cP/KloOw3 UWqS/NtM/ttfIPpc83+5+HmL/udQZL3xJaKU3/fS2Na7VVtfPzN+69Dtn4Ncbm3D7FuHxrGDrXnb v/M43N/agZiHdiKXOyE5u3ZmHGS29sIOqgeXEsEK4IVk8HooYr/H1Pt2vssuTGhPbsN7lGD+MYrP Y/DfQxGUUAved0LKeGQ7pRyO4HuUi8u0LuNxBHD3Pb6vqCfPqWV8p+PzU7noFyOZpdbmlcVvRCI0 5tTIegp52Rbk75T3Xzfqhtd3oeJvyvpHZf2wyin5rur9baDlG3hSfJHfDNHzAfm4pDdm0HtS3hW9 5FjEuhS9RwwYBTdtvEeNu1G9yNtA4FtRLuMhSW+n5M2k54OAjhnKydRT/a6xENRYZCz0/gmC2GGk oJHwuPH+WfhNG+9BHvI5FslY71Fqv3Ej/5iVH4k8B/9+LNn6DMAvh/I9+Pd7Rv43jHx8/8MQ/J/D P2HkvxXK/37o/W9D7++E3v819H4b6W8L6Meidv6j0aC/Yv13R4N2x/pPw/sXjfcIb4Uo5NRDXj1M qQccRAUKcqiUUqPsmCkR/MONhVLb8y5rLLWGWcjlskb+tJnP273wT47IRDo7dd9shOJ/hYLxB4EK s/uC0puXC/u+GAHDsrp8OXIZTM1Koel78qlWrVd9WWKxVitUSvxCJ+QWlvDYmILjeQ1P0cPP3y5L mFqtUbJqiX+I3ZSD8b7sFesOGWsgy9+Cf9smIpG/wzsMvjGQc/Qzkcin5B2n0ih03iNRzm/g/dFI 5CLePxeJ/JGE+6a8/4mE/ysJ/0MJ/88SHgctpn96G78/Afco/NuL778G0wy+Q4d4Rqaflvcq3mEw Pyz5xbEWhUH2KN4/xWMtCok4S0Qf5rEW/XQksh/vUdZJeH9B3lfkfXR9/KvX+Z/32g0Y9P33XC5r 2P9zdP7H6O+/D+caZP+/KY2rfva/sj8nrj0WRZsdbETv0XX39o1/j+3734lrY5T4u3fWLxHYDyeu /QyRTp6+8/MbZKh/dfW/o/58D2t14mt/Cb+Bxbr+0o61x9bRZIm8TgA337jufyHSy869amLtDGGF /JP1mLZwX1p/ZO0c8H9wHJyH9ifBGH9//I3Vm3dkETvMIj4riwCTBei/CBbquLSe/4Fu75Xhh5+E eiJ+V3/yKPg7O9Z+tObvHl/7AbpDa3+PHtC77JqAr/HlHeuP7fun9tH1Fx9fPyjYRbrZg4mJr/0i qiQU/T/2rga6qupKn/veTd4NeZAHPPAhD+dpn9OnAk1CQpIxjgmk8CQpDSba8FODCoxUqgESQUWF xr+zrq8yVVftGpfU5c/IaEdHLROlrURSg8OMwqo6dMaltHU6MqFVqwP+YJi9z9733nNvXgjOKK41 y7cWfHefn33O2efcc+/Z57snVJEl6ShUGyrT3Rcn+9gLYkrbt/IqeNxVEAIF9oKUPQ9XSqBH1Py6 5OYHsfeWLBpUmk1W63+/99kWlk1HK/FKqlC7OW3XpeS7qgk2LIAs6OySe3aUbNuR6xSG3ZqO2bOS Nb0ld6qgDRC0JB3f9PFeGHMlW1RYgzC6B43OlWCnuIT0clU6YS9K2rMCdon7mvWSN3JwFZHor1Or DNSuzGPBVQIWFQd+gAl97ek+anQu/jSlrbkoUJKRr6SBs7gYGFqdxWodM5DA/nGL2te9IyQHVDlk ze4+ZW4aVTfTWBrjjqppg87Vbz/xjy8LRhOqNb9jtODqQLjry+dheLlra1OtrW+otefwQrZa/tPe j+Sem3ZcF+7eYXTvHzzjuVzDOEM2XDS498ObXoDQXmPvh7mmIoMXql19sEjts3Zy4dQ+2asaB7dN 98fGhqS9gG+u8XbrwsFcw6xB+W/dA6Huj4yuN7lpQX9BDP0Fcp+EWwEME4X7RMjdZP/n2f5ZX2// 2O3twwlYUappCfohokAtAXE8241RmY3ajTGZjYEdYFkZzzUncTGa0RajKtMsygQZ5qkM82L9s+I4 KO3FSbkogTepnJeUa1JyVhpW5lGcLiLdvYMDEXlI+TaUjckOfTHlFaGuOmdoe3vanB7KrTf756pJ qz/SjE1aZ/XPIbkQ34iewdekp9UCuT3WP/vI4RTEqMVM/2yzSIGqt7w2KtdCAlVj2ZKQjcnc3Aoc oWAdWS07wFKWimsGi8RkWzzX3gz61HRZF5dhOUWIYdfaBSK/fARqo5/7Ot13yuEFrZAkfOw02aZW XhbimmJeARU9tQDfE7EUXJVH1ZpwlYlhphv2cBjlkLpuDeNaiMJjELpCyWG4SqiV38EQygVuPNhE fDeQ5vo8ac4I+fWug4QJtXqkem5Scghiw2KFgdeGes+NGeRvwHQn8TUOslO16xPtW3ijwIsfzreQ gPfwWGhk30IKFC/TXhiG8y1k4L3/x2Jk38KNEeH7DedbwHTH41tIQSXeYd+CJYb3LcRgHVKgZfy8 fAvYDt23cKrw+xbK4P9mTa7X6wjyIp9siLXC72vY6IsX4jZEToBr9ycBN4c9+RUtPcrvBPJ/FJAL A2v/KQH5zIBcD3Kp5stYHIhfHpBXg9ys1feWQPwdINcVePF/G4h/IiCjY9kZ72gvXMt2uPFhcdDw fGPKN6FPUOii8MvlAXlGQK4IyJofwx+huTP0CM1rESwq39+0aMftUn+ywJ+CaS8rCypyzu5tL5tR eSxPhvuxX3vHlSuv6Fy+5rgcHP6y+JDS9rKKMqE8K1ctv9RxlChNedKXldf4nDv+FEM8J7qfJ4+N 0XmSp0+GBvtcK2Iu/DNgzvom4wWCfBs4dgy4ia9i3MTxkvF2TvcQxz/K+CbHH2T8E6eLom9lnBDj GacwfhVxvBCXIMIEstKgfKsZ1xmU/+9YfoKxh8NDISrXYhzHmGA8HX02Y4S4JkT6N4W4HYy3sy/n LY5/m8MPM37C8c1h8hFdGCa9l4Sp/isZ1zJex3hLmNq1BdNPEOIBlCfCHGZS+DmMlyHCM+hKk9vL eJ1J5d6BCA/m+0zyFe1i+VVEqE+mgMqbg3gy1K+AfFErGC9n7GDciAgPwe8jniTEKwXko/pKAbVP +ayK2WcVZZ9VseezWi/IJ7WR8U7GBxgfZ9zBuIfxTcb3GS2DMMGYYaxgrGNsYmwz/m++MPb/XIl3 UceaK1dMX9b13Y6Rs32q30j8j9LyStf/U0V//7P0S/7vifndeNdDvxCB1526L6YqX/6+gF+e8x8+ cxbIse//8hlVlRUB/++Mqoov/b8n5DeS//e1OOFw/t9nMbHsVfwNe7HVvXOw5vUbpuVxJdV+K+hF QoZDzb6uX8kPdnp8i+6Dse6Pjc6scgItSVuyKR21w+jSshdGbfKUsDPOxsA6k7yLS9LuhWUvNm3I NrAN1Hb3xXYSUyL3LOuXzyuvK/mXTHteTHmV5HsOGSWqqCZtUaVfLxFlxUKhHFiUVhXvMup4faD8 nj5BjlFuXz5n8gTPmWwXS6y+505+KeAvkr2sIalrmEa8CuWOHmXPNsEscpaZmxV1SCigVjab0EGy jR12A//I/sKoosrge4jdpkxuJ0CDauxkdCPaU3A5Rk5ESKl8tXv316Ejc1Zep/JW4XpfLWUlU/mP LeU/jgb8x/e5ynUrOo1M6438htdIpfRkOc/MzYsimwbbPRZJMrIeWp1wPfMyS0VCQ7m8HnSJelSa H5JjrsLl0zBfCe0A47Dkxg1oF7SDaD46w+dORQNcTMbRR6Jb94TPKDdgk9tM9LNZRGaSYdlo5mZH vW0EGrp+M+VRtuZrQUXKiHL2EG2sipr6U2rqRdhUzx7YXrobTJeMRQPfvaXkc/mGXHkua7LpVcXD 0uivV272XL077KA12AeyWWMvPcG3o1c+2VvIXZ9FDQxfDWQMildG9dVAaz9MNsX2wphdfPQ3ar8E Zhm4lIfc+llqvjDlLpgtnFmCHMoxrCCMhAMa7Un24h7Hjb/EUTHWDuEgqc17lxz03yXK56qMtdNn H/s8E3fIqvPquNc/qGbRmJL7hs43vv2xS9lw6PCdbUlD7vLv4ujl58uf1PbXYEbx76+RiakrBzbR mDvX9YC/O+jcaI59PzC6JtvnReU+uTsvfxD652x7vD2qprdrRr7Js1kbBWAAA+eueugtbka+LBM1 u49Wdtf2714kuNPZr1H7EZYaAfBMwb7YYE8afj7Agdtm4m15rNlgY3A2sPLNBlFnNojtdMdjvvlg elCVmhWGTAdR1kUN3EYd8m135tOfj03qdmpQT0fvwejNcfiQ9GY+Z/5Gq6gHZJPzYHTu24xe3a9r PYaKEnKSM3MsjGI7cOao47HcYuXqk3orhK8VW5z+geFjC67xF1BfOR4qi5WePVJ9R5xvnPZgxc6L wcO4zrTFp25SVvFWT1Qv+N7f/PVvs/53Dfgs6n/cveLVHwb/PrzJT1Ij/4BHtHXm43lRX7B8HW/3 yTW7uyZoUd7zxT4/JnfLd91gnCXOgk6djANhXE9Ym3DV/Qe1Hfh3/X1FbcPp9jUp70SVt7sv8LyA W9d9V2P9mMYdX2hsCHDr4+5p1+rGXUrGVTxdtRpg08qFVm6h2nyMaZuPBcLbfGyM5urTuBUb17Zi P4bCeCtWZmEacux+ozzk7FfvVg11RobZw7vown27N/ZlcbO5+2C25wMnJczjmJmfRf1qs2M7zq04 XW/voAtr+1K6iP4CdyFlZzr2TANetKbjuSwuMBLY1LjWVFXfeqrv6qhcEMu1pUBBEhse1xqu0nHD 10ZlSyzXXA1qU7irHNd2lZWBaFdZwiBZFMtlm6HcdLBctftc72xZR+VCVXb2Mkibydsd9VaubT3U bOqxu+RZXL3JDenS3OO3kQkq+ufQbrlazfXPoabMoaKb0jE5Pyovisnr47nND5OtqrFRCa1RKofe KHlNPHdrH43B2mDTCrymsUkff42qUhesikrKVUFmxIVYFahUqZwf73lL6/vgjr/KyMOsGYcZ7vFn k8ewMlalPpbrUOaIa3WIaHVYkq6VF0Xl/Nj2DN5n65v655Kx1VZl/1yyxFxS2B7dnqTh1vBztVff thQnoyWqLTAhwf8wnZoAFsyqNhIcWqKqmS0xgLhsiQMkZEsCIClbkgAp2ZICSMuWNEBGtmQApsqW qQClsqUUoEK2VABUy5ZqgFrZUgtQJ1vq5OwG2ZiVa5vktc1gQxBa5eVtBTuUqY6g+1otOWGOh/fk RvxAwSFKpJEo0dgENrQbm2U2YUPObNJe3CbbUh4bv7svuzPIEUB7KFnj3/uuh+Htu9yCPGmDvIN8 ZRyB/tGOqZqu/2E833mVQpEFlJ9DDYoo4cuObPn3uJFne/UYIZrEBKgHMdQ9bkBSpMCMGTFVlIoK US1qRZ0oUnmvi2IeIZZHsQj6jqCFr/FXGyUOAKb9UTEWS+F9ihsbVnsOWNqlo4jfgPJ8jqMaCFHD MtVJiGmcFiUzoOf+Ik9PrsivZ32RX8+qIk/P9CK/nn+xPD3PWH49D1p+PT+yPD3XW349UzQ9owJ6 /jvi13Mg4unpifjTPssySjhO/izi8UEiEdyr8fprT6Fn839V1yGoS1hM1MKnaNdpToP9Pr3Q43Ic MrEfQ6p+T5q4dxxSX40sN2mfGet8PodjmjItze/CXpo9YS/NVr7G2j4epv1ovMbyxmpxuAeX4Paq Pe6QP+0FIS/tPI5z7PhLLe4Phj/uaYPairyFdsOzQYmB9iQ+i2mQbbH1A8LfD78PyHuEvw83C69f bgmkvVr4OT2dAflEc2TMmBc/HEemFTJmCkfmyDSAgmWml284jswGCOgIjcyReTjur/9wHBlMdzwc mYaJQqRMKiMmhufILDtZiD9o7fi8ODJYts6Rwf7JaDJ+b1OhyedgGzQZ59xWTV4M/y/V5O8IjwOC Mo69jZp8qyDejCPfLeg7K0fGN6I+Tfbi6H7a45MNge8sOkfnfV889AXu67IBkNNyMu4TF3vyTOTQ aPKFAY4LcgT2F3rx6wLx3bjfrH2/80ODvvFw5EeQE6PJvQHOzqtwndLkAU0/ypGQx1lC+YzAt2tf D8jtAXl9iPbHnfy5QPxdAXlLQH4kIPcE5JcD8h8D8vvBb+1giO7QOFIT4LpO4yRNxXhNngXyfk3+ Ns7VGkdpXdiv//uoT+uv+0HeE/Hkn4G80fLkV0EuLfLkt0Fu1uRifLaM8uQMyHs0uQHrpo2fS0Du 0OR12j2N9bMxXhuP9wbit5re/Ijj+1mQX3Pjw+IVkPdrsv5SpihVuljuF2f4xQq/WOkXZ/rFKr9Y 7RdrAtUoDciBepUFKqYzufRwncjlhRMrqbOrY9XKFVcH2kRHTLWXl1cENTknAraX1QTa4v+THxBf 5qdI6Wk7ujrby2aU+alkegL8DK4mkOmvlne2VwfsqU6Aaq8OGAaPhmyvChhXsc6qqvI1iHhqNTX5 4ry/PNFeDh3C55C1t/v/hAX0RbkXp/91DmhntRej/U0K6M5AA1d0XdE+o6LGSX08n/C5igPHMLZX VWrVWXlF11ovpkwsX9118So/xc3f+ys624PWoL+Mg3/00hes/m7NkJZ4h9aXlQVuCOeveUFMzXAk viEZyoIDkf9ckzJunmpiTEV1nppiRGV1Hl3qT++0l80szaeOI6vK8mjkuOrgANaO7YfYynw9XSbw TEn3bkMSYmVgfA6hEg69sRVNcMg0MCTUzx3Ed4sQvLR0IZ4Kz1/E0+idIvQVeAcHNE6n73BDKSF+ y+n/k9Mf5nh8McJ4/J4T8yFnHLlqZYh/Dms/xnMRvyoUtzaUoe/YMfxaxk0c/1OOf9Mg/QdQhpfV o5wOn+OIo0OUvj5E6eYgB/BMIRaEqB5tnG4p4wpO/w/8veczISqnlxGft8ZZQryH8lS4DpPe0WHS Fw+TniTjaWHSdzHLKxmv5PCbOf+DYdL/KOM/I8JL+hth4vz9nvP9kfF9zj/NpPTzTUp/sUnpkXOI 6ToYrzIp/WOc/k+I8GJ6egHFT2OcUUDpziugeq3k8NWM6zj+Ppa3Mj7G4bsQy4V4kfE3HH+A8W1O V1hI8VHGcYVUr0mMKcYzGa8o5HYwbijkerC8lfExDu8t5HHJ+X/FOFhI/ReOUP9NjlC/nRah/Gcy lkZIz2qWr2a8gcOfipC+7Yz/gThDiHcj1A8fR6j8Qov0T0JMQLss0pNhnG6Rvmss0nOXRXrus0jP Ixbp2cZ6XmA9ezj/PsbXWc+ZRaTnsiLS01lEeq4vIj2yiPRsKSI9DxVR/r9nfKqI9ODBAagHTytD PZWjSM+5o0jPvFGkp30U6VkxivJfwdg5ivTsYD13FRM3dmcxxe9m3FtM6X6HCPPGJ4iTYJ5APxbM F6cgjhdiKmJaiOoo6fsmYi2Md8arEf9SiFyU7tsfMP4N4wOMP2Hcxvgi638NcZoQh1g2RwPC4uyU 0VSfqYiweJ2DeBKsyRBLhViDWCbEZk53LyLY66HRpL93NOl7CREWeu+xjDxfoxLmwTGU72uIM4Vo YnkRYhXMu2OoXTdx+B2I1TBPjKF6PINYA+OB5dcR/wLWtmOo/E/GUHnFJYBnCzG+hMKTjIcRx8H4 5Hm5ADnC0M5v4P0C7XoD+w/KO4QI9RmL/Qj1zCBCuT3cr4pTPJ45xXHmFE+gta4xkda4WD/1HXyC 1rjYHlzfGifTGhc5y0s5XH0Xn2SO+njmJE9hTvIpMM8Iqr/DOXY4xinGqYzVjA2MzYxLGVcxbmC8 jfFuxocZn2LsY3yZcT/jO4xHGKMhwiRjhrGasYGxlXEZYwfjRsbNjPcwPsrYw9jHuIfxNca3GN9n xKWLqhdjgjHNWMpYy5hlbGVcxtjBuJFxM+M9jI8y9jDuYnyZcT/jQcYPGC2T68WYYaxgbGBsZcz3 y/P3f04w/7O0vKJ8CP9zJrwrfsn/PAG/kfifq1gY9vv/8bZVs7fTkrvO2FO3Ux6yWyw7iyGFFIJc zDr8oL7zdNy1jgX3s3uOwk/f30Z+BG2LK35iMP129DtoG4DqMCtiw9wnhEslHJoCfRjON62WV//g /hL+sPR7hOf/vkuQ/+4aLexE+6Of1OKH80c/ZdI5OyP5o9H/2KDlG84ffdCkZ9FI/ujqwNwynD8a 0x2PP1r56wwqw/m+Np8/GufH/Xn0Het3vP7omBaibQUof1bGJw8976nJF0/n1jg/9Kfh87lDk7sD 6W8PyDgWn3RlQzwhPP84lofP9ZQm89q00zllyScO8WN1DjlfSQvP40Ry05NPpLrKHx5cVGPxvCiv ch0NnYHTjobWcEiotsReLeg9Br/BC8G7FO4lGRFaXyP+taBv1u7m+K0cjrbEgzLwe248j0h9u4XP ccZqMfxz8v/rz/f8/5wOADr287+stGJm8PlfUV765fP/hPxGev7/bITzf7oPpmVDOobsKNmkjjJJ yM506i30MT2NCexEze6Sm/AkGfV8Rj5gsQ05ju61m0084MNOIEmLIgV/Y5Gys3G7LmZ3uh8E8HFB MSadpB1+PBLXS7bVH1EfMWyBgJLbP0RN9QHuoP4lQcn3KkMu/zbGR4tastjOmoovGJWzLdkSzc2O Ozx2/FbEwm9KkCWDzcxa9mjFXSyyF2BI0vuEAalKisMDtU8deGPQz6+18YwbjaGKRTuMSMyd8NOG /XzvTiNAGxZM+FYGGY7vXPK9cjcfTn+2IcN2PRKE9YwOP1AR0aGLoNu6xrnW9viDxzjvh7h6bUiW jjrfkmCPxrBHuTug9Rm7MYGUzZpdXWV5quse30S8/phMyGZzYLHT35AfqaM8mFLOYDrnBZCvH0sn 60zXzm/FweR+qPOc6p8l6TT2JfRPJnjeTnpn8PimR9yDdla6Vw9/4vL9PX64GopsvsUwyI/udXsx 5usNXG5r58NOwgOkkOdNZyxZTIqdbDdaLgFSkWWzKJs1v+66nD7LUSW1xG2LCOeWN6gUdTw65IsU fzXwLUOrxhL1vQ9+gMD1INo59aNpOwNjcUwxdB2Lah9C+I9I0styD56NusT2RnUnqc+RPBouHTx7 YL5r+58P5jkfyIReXIOniXW/aHBhKb0wPnv3cFJjBqrjcfgsoPOQ3iab8eAb2ZFAe3nUUxtPORTe GT44ATlsWT57N1AfdSBPT8ZRQHfZsdixNKlY/NFB986Ue/SOGTx6Z7hzbvGH738lBR4f6UXT44+9 ra7xTTas8jSaDs8qLEpMj8tzNOzxc1A+3/Rk1Hl/2OH6mMpnQTpMdaYO8XhMscQ9i8dSuZKuTkuF oq+lFMI9npwQP1FhETcsCqH4bnarCrc43HJjXlXhIbiKiOnDpBmbp5z9IXxikX3+S11jWwoUfyLD tmo0nPCEOJuvTbgera5N5villE8In35B5h/aFx87GdVef9wKFR4JhMJAVeEFvrD/ae/6g6M66vi+ u6M9SEpiShEkwiucFEuouUuAS8lYkBTSEihWnEIHCykEiA0hhvDDMSiQgD3TANp2hIqtMANTLdgy IlM9/kgLI0pxxIoOWMbqiNgIdRApUgjU/e5+9r3dzV2S4oCjc/tHPvv97o+37927y9vP++5nb/Z8 8tEeaACF+vK6PdAA2sr7Oqs9NKSbT1IcFOnLdDeffLKHGkBP9lADKNJbvqvqbj7ZnCU5RLu/rtL1 xDflaeU0XyswbEfoBevzyRlGOWKZtPiURq1cxPdY9bdZ9m7L/qllH7Xss5Z90bIDjmn3texBlh21 7Actu9Kyay270bKfs+y9ln3Yke/0KNH1+ZNV/q5lB6x4oD7yZ8NrP8Qqv9uyxwT87xd9ntMCcs4p 7aB4X6rP35mxla4/Y0+pImSWdJq1d9YRKrLbePo/sVihXab0emJ8ejZtScOcBaTsYwS2GGpFqcV7 ugrjSB12oTMOgi6gUI5oNF08StqIj57oFkk6guJporEx3cQVpA866SpOw7ggsWJTijpl2IwKSrHa d6F1FEt5J/isSQq1I9Ov8Sn00EFaNkJ3mf9QPUB4G2OPM6kR9B0mdZu3k580h4BC04b/KF9h8n0Y 6YKTds9YR2rmTHZku4cdqRc9y5HtKoELHdn+m7C3AF+An/T5aTznHfk+7BJQaBv1h7ZRfxmvEOgt v4d0nPHQJioHToPm0ZcDsr/vo14bYR/GfoZ+3gxIHeuTwNPAc0CKwab2Q4Ky37uAo4Kyf/HeJw8a SPwL/xXUf4rsgVLziOIMdqLdD4F70f4M6l8JyuuXhfiEPGgefQxIsbpUf3JIjmsacCbwa6j3dWAr 6r9AyD/s3YT8vA9T/cH8955s/pBwBu0daCJl9ZLxKIPIHsr/7xPyH67pvSSfdjokr594jxnGe8ze kosU7xOZyauVA2cA5wLrgKuBTwE3A5WG0l7gQeBx4Dmg0k7qB1TvM9NpJs0H1gHt95nqPWYb8Ljz /8cPWvt/3ZAdgLrT/x4ds/W/Y2PHZvb/uimpO/6vsVv+z00carrs5DTTU2CiMUJyErmCCmyI5NOK /LLIgJaAoCWYkHZQBNNjkgWT+/UIQojYHo08yz+zI3ExZ9/MjnVvNcRb6kItuWKlcLnBd5C+ss/t +F3w5u3zfJItv2V8ri4bwwQ/Q+SbYuOaLgWXDZUHEL0TpaEG0j7QW++bapztl695fFAq+qO/Rn/E +aQ/UR5uOugqvQFLf/rs+MTb/DKWJmhRX0Mk3vR+cNkXdWqnmB86Lhw4li6KkbM2z6c2sxVHyP+W JiZyH/1CstaJud5SaOhVNx0cDxpQLMatiGQL+iNBTJnauanpwLXEpaa2gDi0KG66EszZuN4RjYRC gmpUIGQIyiKFJQdyNj7kyGGocxihGwNSMDg5aynwpLWcBBfEXknZ0DlR8h78IhQkZoWbXhP3GWp4 8iO8hA5fcmDV7eK8+Yd/5jaPvyRTSPS0XUsQNUjjwTWlVZjynqJb1nf20y923BgovWkyOLQBCXFH JOpCYt3m9HDrzFzQtfxjqIhESOVhZT4JPUteeUQiJ7EilHgk3FpeoJRsShKz6NxJW7ogcYB0wcvE JaXLuW6P3A4qpApC9CmsWyu9EfogJXdW4bFoWzze8o2rKfW2X+f3WhjnZ+pUHPbOz1jP3ZlOm0ks aPar+biD/B2+Er/x1nRrtNoM3AEp7uD6h7GwP8WnHv71ldb871LEAC1E/2yuJ3l06DOyilDzwC9M g6/DJL9p35IX4fYPhDAT7gfJ37nsOvk7MfB0fF2W+pHMltN1nTPhj5vsVyGfv/tByFwP92nLvivk 82pk7wHvFgbLtzlI7/SzUE6sEnFgakUqY+2BrsuPifJslPfrVGO76L+P114vKxVte6PM7PdToizs lamSfznkv0VcnAh8u8QxaDJdKp7FVP4JkQ96fdLzXAT8Jp0RUf8RqDvrXNt+4b8Vx1ZeOW9J5U8I fwi+fPE8GuFH0etMSNP2ZvN3fXrA39GGO5uc7vm7il4yBk+ldPzdpr5Sv7Q7/q68h/xdeQ/5u1O8 cxf83S0sPX8X4jfDZe08bhR/R3l9feJHtfrE54w0bEesH9f5vMlGOWOfYzLGkhLxS09o5WSvserb 8SE7Ldvm835n2ectu8OywxYfdodlRyw7btlTLJviRvX1dPVW+Vct+xnL3uqY6+1essr3Wfbrjv/9 oOtPcacjvPIgO+34muuCf5skZz/EvHnZmJ/V6DfPpxFv8GnkzGi/nr8x7pxoNO77aVNbKGMXW9Rd GhJpelX98sql1ct5T3MixYVzomMs9spaP9bV6qUeLH6yNj5LtcOaPqLF1bVziktSb7RmnjRJgeuE WOp91xQj5rXtkgszPxZiu8wPz/AYi3WKmORcaA0x6U0Tl06cxjomuS/S7yYOi9bsBHKxp9pHZOw3 4RBHcj6l4L4WgvtaCc5rFeqtA7ag/j8dGQMu9k7rJ2OcCSeAq3oAKPZQy5OxysTN/AX4N5SfB15C vWeCchzPA18EHgbH9CbwOLgqsTZmIP8NCEoOsG9Icj/DsCbmXnBC92mcE+HUkGy/kZD/43kWuDMk j7cb+Br6e4Ns/mD2FtmD+fMIIZHivSR3RBKGFKsluKTe4JL6+LFZai+4CuBsYA2wEbgVuB94EniJ fThuaBFwJXBTGk7oKPDU/yg35MV/VdfeqO2fu4v/ihZF7fivWFFRLMP/3Iz0H/M/l5yGQUn69myj r6QumCbinZJlRtGmXmsZplrSlvuhhZIUi5mk34OW8bQfVdPPHZpHJl3VWjTxAzXkNJK0zNquEclw 1ZFaX6LRAKMRkQH+UWXrXKOGoi1yBaGxxTE2mz6Rs34/eSpmXmuZRVSIJBdy1u8U9SbIDadzmn8k L0ZO8zeYXMmhQtG144TTnQ09gRkjziVdzGHJC4a/nYQkrPl78ixL3Wc77QKbuJg8aXaxgz4ZPR6N idiiFIM9Zo/JCyhKHklRZF9jdRKDkweN2meGG/Fmyf1pxi9Cv2ijMfHB0EbYC7ERtmI+hEosUSJZ vCC5uXM/TQf7+dN/L14r9Cr9j/FXDLSUh5LEG4idDj2iTcjIaf35hfo1qkkzeO00fHHDVMXJ2fal 9AUS9QOVpqgW7lytsKvxkA6gz1Gk0+bS9bRo3lVXufQe/q+5g0943GW1S93Kuvp3+N/lS6rr3cp5 9GxZU+0yp4PeG9a41Yvr6qsXV7msg95TtTdUNix1q5Y2uPdSlx38n3pFlSv/5fDGDdUL3D9SW5ex UV0lOj4ft9vI6wrk/RMWaMiP77qfr51ftcAVx7Lrh0W9cq9MtUVfjR9iHJOBZZimcr94p0eXbiuw FbgGuCzox2ct0PKPavlpWv4+LT9ay4/U8q6W76/ls7X81YCf/4eW/6uWP4a59bcRpzArIPcvo1vl IS0f1fIDtXw/LR8MyH3QiEW54Pj5d7T8CS3/Sy3/suP3s0XLb9TyNVp+hpa/X8uP0/IFWt7V8vSj pPI/1vKvaPntWn6Fll+s5enGFl+pm8z/vKzRFOn4n4K+8h7pjv85xzMztf7S8T8V/Ll/tfPf4X/O 4R4dxLpYD5Qltc/s/rpK18P/0HEHaDbFc0U0m8ZYqNnDmJy/KJv4odmaTXPQGs2m+MDVmj2RyXfh yp7C5PxG2cQfHdRs0rs6otnzmdQ2VDbdvyc1m9bRnNVs0qq/oNmkh9Wh2fTWw+eIguw5/jdXs+l/ 6wDNpjm0q9n0fSvTbNqApkKzDzE/ET9j7k/vsHZm8ml/Z/6eNcQP9XL866/0tJhm32PxRSWW/Yhl L7XsDZa9y7IPWzbFm70S8I9vx5u9Z9m3WvFkwwP+953On1YvKL6Qzp/WRc/QbDaVz+akOhKhiPIS mSgyCmPAImAxcDRwLDAOLFHtVY9Rr0fVVVT1FVWdRVVvUTWgqOo3qjqOqp5jqp+Y6seIfSOHEfLm efljR22DR5rFRxtuPsWjwLG4WZeCtuJjNRbLILSWLGsgISXi1moX8ktXbJTOW1RZ74W1FRcZZbJ7 USMWL0lRVFu1ooZGGSsxS3Es1e3oorR77InTkIyYYh87k2weAej360WweddCCxvzrrZvmro29P9H xAUR3snYnbCHwx7DpB5COfxTgXOA81GvmuoNZWLvysAnsFcaL9+C8udRvgv97SHkP7D7UC+Jem2o l09cGh/EMEf6ac808o9yZP0Y/GPhn0DoMjYJ5VNQPh3lj8E/D/5F8K+Bfz38LfA/68jz2IbynSh/ CeW/wPiOwv9b+H+P+m/Dfwr+cxjfeyi/jPIPUE77stJ1uSMgr8uwgKwn9BJ4vVEBnCf8k+CfAj/9 j6TxJlC+AeVPo3wHIem1oPwnhB+XOqPOJ8FF3s3YCZT/Ae3/jPbvBuT5XoD/ffivoX4wKP3hoPTn BeV48oEUV0dxaVHY44Djg7L9/Wj/INrT3oMB/k/1C/A/Dv9C1K+B/0vwr0L9ZvgT8G9A/afh3wz/ dhw/F/fbSOA43Jffw/UU3OVgrC8dgvWlrs8pznVMblHFnSmOsdkxucatjsk5Kj0NxT0eAaq4NMVB 2roaIk7Skc/pur5GBFgILAWWA5XOxlxgDXAlsBlo6228CNwLbAMeAR4HngKeA3YA6b4Q4wW6wAJg HFgGnA7MpEzKpEzKpEzKpEzKpEzKpEzKpEzKpEzKpEzKJDP9Gw9CkdoAGAEA --Multipart=_Sat__12_Jun_2004_03_13_54_+0200_s+ddCgJfHxEZIrKG-- ------------------- To unsubscribe, mail caml-list-request@inria.fr Archives: http://caml.inria.fr Bug reports: http://caml.inria.fr/bin/caml-bugs FAQ: http://caml.inria.fr/FAQ/ Beginner's list: http://groups.yahoo.com/group/ocaml_beginners