Return-Path: MIME-Version: 1.0 Message-ID: <45258A4365C6B24A9832BFE224837D552B126E@sjdcex01.int.exodus.net> From: "Maksim Yevmenkin" To: Subject: [Bluez-devel] Patch for bluez-hcidump-1.5 Sender: bluez-devel-admin@lists.sourceforge.net Errors-To: bluez-devel-admin@lists.sourceforge.net List-Help: List-Post: List-Subscribe: , List-Id: List-Unsubscribe: , List-Archive: Date: Fri, 6 Dec 2002 21:04:10 -0800 Content-Type: multipart/mixed; boundary="=-CHfyMtrMgQW6TGoI7/nC" --=-CHfyMtrMgQW6TGoI7/nC Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; CHARSET=Windows-1252 Dear BlueZ-Developers, please find attached patch for the bluez-hcidump-1.5 package. here is the quick summary of the changes 1) __uXXX types replaced with uXXX_t=20 2) minor fix for l2cap parser 3) minor fix for hcidump.1 man page 4) get_unaligned stuff fix Note: after applying the patch you still need to move hcidump.8 to hcidump.1 i also re-arranged #include lines .c files and removed #include lines from the headers. this way it much easier to port, because it is clear which headers are used and what needs to be ported. i would appreciate if any new code in BlueZ will follow this simple rules.=20 please review and if there are no objections commit. thanks, max --=-CHfyMtrMgQW6TGoI7/nC Content-Transfer-Encoding: base64 Content-Description: bluez-hcidump-1.5.diff.gz Content-Disposition: attachment; filename="bluez-hcidump-1.5.diff.gz" Content-Type: application/x-gzip; NAME=bluez-hcidump-1.5.diff.gz H4sICDF88T0AA2JsdWV6LWhjaWR1bXAtMS41LmRpZmYA7Dxrc+LGsp/hV0wcVxYQYCSwjfHx1rK2 N+sbv8p4Kzknu4cIIYzOColIwo8k+99vd8+MNHqAtZvNqVu3slWLpJme7ul39yA8dWYz1gpWbOKu 7N9ac8uZrhbLlt7ebfuBc7dzYX60Z45rt81FHkSdrbZarRJIKhe+xy79e2bsss7+oNsZ9PaZ0ekY VU3TNlOovAkcdmJbjO3BikG3N9jt8aWvXrGWrjf3mEafr15VmcAxHl29uzk+HbEjOdK24rt5AnZ+ Mjw5YQzAlmYQ2sGO60z4Xds1q6zaWpje+GJ4qSLqV7WCUR2g2elPtzfD8cnZ6BZmtmsSrF6dlhW3 420ShuOVErfjZcTdA7HtlhI3LM2Ie3ew203EfaA395lGn18s7r9a2Gx4fH51PDwfX/RoJvKX4zCw pk5Q3zEt17dMt73oCevpIj/8ggyd3x5fXVyfnZ/SyvOz17dXV+d11mot/Kl9ZPmLJUgJZo6P6/B5 cvpmhNezy+PzdyendD+8GB9fX785H35Pj+o9TiUT/K7Kjo/PT4ga4IQNnF3+UEjbdbyPBHR+sg4X rjoRty2fbb8ikfaBcSkhkgGOkVj1ghkQrRB2SqRVdnlz9eYNDHuBP5uR8Ayj09QNpokriq/yKliw 1kwqart2+tMp6AkQVJCjyx9wj4k1xNuWQ1ev/+f0+HaUhgKbqXOB0E5ajhdGpusSb4NqCzAvPoox 4CLkihndnpzd1IkHFEAd4F65ThgdveBjnLEXh+x9VVMQ6oOq9ixCnRBqKYS6gpBVXEMMx6MzP2AO A/fe3naNQzb1CY4xywxttrW97Wzh5HvYJoQj1mj3G3VG6GEOr4xADmm/AkRfD4KY7dC0+P3U92x+ p+4CVoh9kDK7vWa3A8rkV1Im4HiMjn6xrbmPuNkfLLSnrGWzF+HOv9uN9+/bOzsvfpH0UGJrgAHy 507rwGz99qGxvb1+ETyIdSC9KDC9EDa8qL/4pb29DVs5FPIh8C3yu9Ht8Px8fDK8HYKWtmfcOfPa 3+HItySGz18qBf9ZtPUsba00bT1Dm2sRzX/lZR1grWGnQMm0/7+Y7P954+RxsIwtPguZMb1C+EJL exZSNSzFUgawRsT9yqvt2uXVzQVkU2G1dYq4F8MfTkUawlsRyFXDpDj6LBikm5SRDlIk312WIJr2 hw1k096AOe1bdjt3QgYSsa3ID55ehCxcTeSjY4fMDGy28MPIfYJdT+2lDR8eyO3JX4EfeMyaIhbH i3wWze0Fg0TKgpXHfllARfWCPTjR3F9F7M53vDuACPzV3RyuQDQuuSj89jp7zT7T8LIngy/+++MP MHMnYrq0yZmjKE3WcG1/oBReoroSpdVcKcRaqOaZ3zIXA3434M/A7yoInXswg+m9Q9O0qS5VR72u LPfWihaeZFC7vrn6/gaeaeaoFUptxxaGKXWgPqjk1WHcRkF2Txl0OHGodMlauVLo/EkMZChVYQSW a5te68727MCxhJD2+6S5fVQgConDIFohihFbmGAh8N8OWgWziV2mht8nPplGpuxEFqRTiIzpkfdy I3Igt4d4QsEHFXnk+y5GpgSlHEw/5fDJCdUbEVHaP9XptEfGM1MzMhObwFj2Nfai5xPil+xFgcvM yWH70bbWLcnMFTpBAp4ZB0yIIxmw5rb1MY8uP6y6OKC58iic5fvAgdJhPdeyxh1aQTuZdG8b2tUY iDpObFb1XaZDs9od9PY2NavphUqragx295STgWa/C61dc59iV6t9+5a9PT47eXdxzXS2RfQMgt5i r4HGv9jWueOtHtnoKYwgkg+nC8cDuwvMyPG9LUAwessuhxencdRl71vsGoMs4mVoDRxo9M/Lq+vR 2QieXkuBsp9b8w8wMAnSo/4Ssctru93+8IH9DGkhsgMA5/ggLB3fnF3fnl1dwsD5NWKIN1EFzZrT kAXmQ7wNBq6N+WYW+DwjifTjM5NYBdeI5mxq3zuWzWoPc8eaUzKbQEYJl7blzByocjB3YVJjfG9I 9Ya1HNaE2GDPzJUbMUhjCDADO42YeW86rjmBiAKpqU50lwH4ZYiEQyuwbQ83hqE1bDL73sYpeKiS I6E9mmy+gmniiBBhgdVmV0QfDPupSeRIcny/7CFwoggQE2+YTkEeJgAFAAkQlAOnTdpMvJTKbbGe A3DikPpD+9cV7Ati4gIubS7/KxI9qvOWZH/GWvOq1j6ZotHaiwkQE5aEo1FiZfB4FTKyKrgdzbn5 aO3LhTQAfJhmjYhAYyNCcES0ZG8gnrFhwAFJefF4gOPEvhx5yI08xndmfBcilGt7d6DqeHCJg9ej i2Qkiu9u+B23UL5T1Tz5Zj/HIlErz9ikVmCTQInE0axqwnUgEDxnlO2sVSJc1jKrWmKa7E9YZmje 29OqJqiQzeUtsw0FaGmrrGrSLEnu0iy19muXtSLzjrUenCnI5ySEsbMI1TWvsmvO7So073gqIMaw qAxVi3ags/gHWOVPLyHUnRDboEJgl3QGQGc3aLQ/oftz7SxWIF/YLLLnmQuQ8IwlmRO2n1Vrm53N mOdHLNYn4MLNODMe0loQHEVABOIEaUdNoQRlN4X6zVFTuQuQO5Twyy229X5203w/u4bw/f7f70ml LdTAEUwJmEQCuImEbj58NtkEynua5NEH5USqRPpn1RYfBUwWaF9acCqiPrDUVh/WbxVNKr9VHj2g y1iuIrllMnGgFkfeJukFGSFpJiwJj4N1ZLBoc3lG0Ej5dM5UE/OEmkLYbZ7HQOERHh/ZVpMhe8TW 3H4ENt5Anw+eFyAW6yPqHRnxqVThHs3HWfS0pIJ36ZpPGNtRAaYb+lgcxQ4LOFMUzRRFM7Qc56vT HI6Oz85SugxRlxBeC1TpmcsWzJAmCaLaGtngpwvzUQZk8Kdl4Ft2iDLlG8GoxVUDMGm7WSKtZbjI 04JBIkOTgozM4NeBH/kWVMojOyBDuIBRZ+lCoRrEtGBhWn9RSppRiFYYUHMMLhI5EAsgBoChgPmp 4k3huEnhgGQBSG4gZeBh9wAPeVAVQuSqGppcPyh0kZ/fnJ3fnt6MeAwRmQk9DmInrLNboQ12Sc5H R04oVo7OgsE76vMHSiBJRrH7jyMfBj4SvGGZS/kQWr68DWaYQuKJqYBhE89exvGY8jeG0aqWi7E8 G8Wprkz01DB68lQYyESYCp2UlL4wfMo9K7XFrYLuMyJjmjF+6EG41EACYSoJkJynBxZn93g3Sl1z zaPN2siXZPck+sUCSUsDWsxcHJQY0htnJWNhVVODYUZHCTtQlGEQQkJfKRDh1xkY/qhEMaOElPm1 SRElCno5WkpdWdXKxLVkqaw+xbpSgaoG8HWWU9i9CTaZYI5ANicioChBalYglGTRDSy6XQUeSIgq WgxPUGuWC09a+9TlxZqMUdobik/s88JTmw3XhKcB0liI+ES3Mj7RA49PdBvHJz4xjWEoQPFGDCOX tYiWGO0h2vBYyg9BV9RHEW8yFU1s1/fulDo+kXwmhhIdgViLEaMQ/hRa8kAsol8/STtpknVKVLhx AcNTxfDd7dsrTBU/ir5x8sQuzEdnwX4IzNB7Mr3w4xP7Bxjrx1e/rkwXRdaGj5ew/Pqavk4F5FBI w7o35iRwfnN89r3teWbgQNUmRtp3fOTVcu64zjLkGMgO5Aa09tAroDz8leVoc9gcNQDdRK/0+Y21 4YTFKnN+Y6VeNjgY7B4MjFLnN1bm/KazNzCUNzuMbtPQ8QtJvODBKmuw7bOpctLdvGd62+Dvkezo +o5B50ecPoqRnT4u2TYu3MEvzr51PMtdTW32jzCagtTmLzNjrjPJDK7wBGiaGQTTXTh+mBmdWRD2 cUxTcD6FOxgUCJalxx3f4vCZ8dCnAJTZ3AZEK86KQtazIwf+7zgeTagL7CDw8pxDzrzLDC4fphms MYMKujtI+Uu+WXWxGS6S7WqbkMaa0Io0oRVtUivUhFakNKbudSILlJ34LsNNAgEmhnNlfWi+wcrn ZXxoXvkRwtsbeyJcobc/6JbyobnqQ/rBoKsPjK56BtrDI9AenYDuNCCX7TSqrIInVFi8tOiARqQb 0zPdp9/soAIAx/7yCfY3j1jtuI7oOi340EvGSka0u3pTB//lF/TfT4eoEFDkyoooLI/n04D9Xm1V xuOVvleB8uCQP/QrTnK7NKfivmtUonAc2lb8zBiDkRUNaZUVFG363jjimPhzHx4Jm/JIGPlz14AB iTQ9xLGyT2w8NiOwPqh/7PGY1Wokr2m9DpPfQtoBV2N43jd+e3IzHp3965TVQuc325/VMqzW8e2V 50xKfHmHSbkwNKfmN5lWCpCsZGQv0Uo6+wMdrETfZF75xYmJ7e4OOrtKmO439V0I03RRwzRfTDGa W+ROp7/T1VmnO9CNgd6HKjo0nXSMXhc7tXUxckPU0wqiHiuIPOxLckAxxjiOZmP380G9RPT8enGN vrfcpZe34MK/cI7Bt+QXx1vqIGkTh9SdorhtPNP0csyltVE0sVw3MRsTzqxUgqW540hCietdD/95 fjU8Gd8MfxyjG/IYY0aOxay5GbAG5KjxwrTM6TSQHjkL8LyyMQsWdZLF3j6Fqr04VMUo7n1nSpY8 tnwvCny3BhECGpl7222yHDbsMyNovsypHYx5twM+LyJcn61WznSMsUGJRuogq+BypykaJRzgLIRJ wENwdsQ6MjzyNu2IIZerfg1ZUgOZAp+QLFoCLFeWY4deb6hpmuBQzFVC6GKtOavhyjowRLllr9s8 gOyyuw+XNUKzoQUb249QaYfQ9m6UnSqo9Tyt3T6JLqYE0wT1Hes89hNZiQZ0Lebi+ZRoNgiGqO3P pHyMno4vBhjdXfFiQFURDEbaPyUOkTSxk4Y2CRT8CEn6WS0nOTK38BkJrhdCyYyG7d+mjMbnS2Q0 DlgZmREbru4YZBS9h28475bJaGJxJqNh75HKaIZBGc0wUhmNL6aMpqsZzdAF/bnvRtAiehuTWmHy Wpft/k5q6aS2Jk9hWuKhchJGBuy5Ro4DD/Wqlp6Q7kFz4GOJD+MIDdALjugX/A0fTAs9nh16qiOj OXyeI0MRKEK9HLDj4pZ222QTZ9pknjtJPDxdzCo4lDE7qWgFbyomxesJGfrywxwPLjEstF7idwkv WYeYB7IVRAf+3+BCbNQJaBkFiCmZlMTUecRcAeoAUCNADB+dLoXKyoQyUTLeters5UtmHJKU+13K wfxCL5vBisA2P9JaqRJ9QBNSCIDPQElVsORXt1yTe2Ia0ynwJSDJxrNQxTSNHM1uCZrwUSucMuoQ T4zdvZK74niKZxVU6a1/Kt9pYEm4ISzTdImoTHCV25UNPSK9D6HzLrZXIijztemY3OunfndidHmX 0c12GbSWh2RDxOTuDpLvC/L5g6C/m4z/WpNhGFQj8guqTVSIjudi7c7DKH/zomQkZRVAP5Zr8ACh gR9HLAlCMnD6S8ufortOIn8e1gCs9ZKPKfWTfzcDCGsxHfOpMQzU8lBWFspSoJT4upGmCreRrAq4 kbJsEGCeB19nxmrLMT9fr+GXDuO3x2d13uV0O1ipa/yyRhmm5X6WIhBeUUKNkDTqBdqYg77cjGT4 mCLnKY+GCgiO1OMUOXPNuxAAkCzd12IUisw2klLg1lJLMukGglLc3xTIm+Szpl4mVXQNfLOaX9ao IrT8z1IFwn8FVZSV4xr2R8dXJdjv9Yl9uigVFbLxJZ1RvlJh+UaosGKhd7sr8lHTDpmsiFotdK+y WZS+dduURwVAiUwqIL/wyE5dnepwjL0S2VSs5vl0/8t7nL9z6l94cNehH2V0hOus6YdwH1N7Jt3n 94zzF/g5HWeozgaeQOfffHqM7w4qR95vh5cn56fj2+Fr+KRjb73D98d/D9EXpx4isilI5H2E32f/ nMPz4XDj/sHkldOPcJHihCbVQ46QswDj2f0fn50oRCtGR3xtsUuhaVdGJgk+AnhCw3fd+aAc/qen 9A/YRQm209GLmVOoWYj7mqoNaFKfhc9oSwT+wL4D27KDlHwb2H+pQj5UIemMkcfhffo19378857A jvBVh8t35+cotvV84KES3ZdjIwH/K7jo06+U+t0MF4rskqSl8sQLHoAC3VHGcbwmi41M3oIJJXwV LlGtT3mihWn2pBkCb/Qux5FiNo73YR2DB3tNvcM0fuGt8acCVqa2W8DKVOElhPsMM9lFSXGU5oYv TbODa6Im7lJxzp+ND1mXpKG4XnA8UR/gTOcDCGFKbst/j9/nv8eX7pdllJNBewLx5pWWMBfTz8Kq G/tK+tF3+V8R2O2ur+Ys3/PGQViqmqMsPJYroKArbG+ysY/HOiHlGr6zeRQz/w0tR/ZFKdd6SQqt 43eSlYq06DwUqqbeJFsWvO6BFSKz/CoPaiR8YIcrN6qrdEAWq7CedT7+bQbwOIPGJhrfm66o4YBH Uiid1qf1SV9opJbEFR2tUo7xM0d7OJIc7fFDJBEmGvLgSv4jEGNQbbHMP7GAc9YQka9Rh/VYNj8D HatJLshS7G2m6HKKILMyFF1BkSQWU0Rnkmx3SB9UDB4cUI9OF8V6yWy5KVJlUd5yC7qQvPnmmy+l 0+PezNLzaIrrzX8dvnQoKkRZ5ETJKdsROzeOh8nX+4dyFgm28rPU4OwbWATxi/AROkEEktC5Nxnd OtgdNbNbFod5lcB84M1Q5isnDP54+qjuUC4+TGbE7pIZLbOmQFLppTkAnncqn5jtgsFimEGJHuF3 SIaI6TsNdgxxy7bwNVfXDkP8EhaeXWwTSDJ9qjn4hUsmf2ZBIuWhSdjrIT+Z5lEt5YGJbXEW0iBS sSkolubTEOfWG/rV/gHf9EG86XXaEcLJC4Phe4v0arIiEWAptubCcC0NNGWhGyBZRUr0m0KR8o1t YLXXI/3wC7L6e7YtAHc/zLl62q9zjpkkJtovP1X5Dv9Qz3h0O7y5FftCbKlcV7L7Fp3PhvZbQpTo vyXoFzbgqeVKB66n/mzV2g5cLuctePfrtuAbOm0L4TPg//Xuu2A7uY78zzfeqUb58yys6EW/DER5 C5vT1yVX4Fj4w+fOAL+y2PhXurLLM6/Pdge9jIX1yML2igxszg3sQBjYwY7RZXoXDaxnsP+EVmBC 5br2/VnQA1R6/iqwipX0WccmmVeFsopdeabr3Hn2VLz4kwpGGDawxKg08I178RZDBe/HFHaoZO30 mt0e9U9d+SbGDm9KVz/9xGYrjwJ0iD86mjxFNgsfzCW+f87ZThfzVJmKdyoKqiANEK8g/i/sxcK/ t/EV9mVAPyhld5bFf3CyChH5ZAXR2fEQ0lo+IS1NHigQesl1bVmnP+dS+x1oo/j82XgMmW0JwTw6 lIRq30EhAWNQmvF3DyOoI3D+Ux39PM2DrJPXs5GcsDZW/TEWDGpUTo5Wi2bTtZOeLZf0w6QIFcsz rUEiadHqwbVQ1nmu4o5vzRLlHKkBH2s443V60XyaNyPLm6Hw5lEFklalQJlrhhKOob6nJV2jJMdU 4W9YIjnGxgE+1nDM+4Si+TTHvSzHvQzHbpZjjnIDx3s9vv29XkmO93qS4+IlkmNA3ICPHEdyEv8f ZXxNwIMbRYulFA4RLESlzJfAlhZlPytKGgBA/Bt7JElEie9JzMQ/2YF3qRjVu7uZAy+AL5Yy9WDc K4wCd28KNTTc+G6ek/yzOBJJuerDXHSGjfi1OtCaLJYbbm6wZD7mv2baVPFJiBL5WIJ+YT6Ol2fe YNgfGMXvSacTslxOCfl/27va3rZxJPw5+yuIXXSRdN3Uki3bcXoFuklaBEizRZoCBfYWQiLLG2MT 2SvZ3Rxw99+PM6T4Tkm25V56dwHaRBRJzQxnyHn4Moz4YZYu38MAjme33uGDcRKGrnk+YRtnf9pg ReZ/fuGFzf8HuC86CsuYlmLBgAL866v9hySJYQvTAUnymDLwa5nw4jX6rEmuLA28O7uOTy9Ozvdh 9/EB2cffh1RpvqR5nNxl5NUr2OLzT8JewL6oAI8JvEB7w8OsMVMQgFr7cDKOzaTjJ5/jzi8+Xcbm wNgkDUycrVWDPpEmKkHTBdIokqdwMr2fEJj+RpTGeIYnsTwvfxLayclMfO+0BIniZwadn8jH9t8e 3s6WxaFyGkSvF52gzmLamdwns840KVSHpJYCZYRvSoSndgcdAHLhCbP8zWh96PAWU16evfzwdj/B GQllMabcEbCHTTfd/x70Cwh8Nvl79n2HSHUzCPUMsagGUGiZFkt1Ds9Wmg5x9vquwk596RA2c2Xo GB0EUMfYS2THzCCM6ju+eXqIY9yoqwlD1WNWJX69nJxieWhV0kZRJD6B0MqyjQViFt61QEa4MCIn oHzM+tufUjydbsOvXnrXDB8NMdL0aHOGH4pkY3aNsrtmNgj76NOFwqcT5k+Nvo7RfFGnx14+jaJu PttjE0bVLlspE0uZlIQXr+l/sKBzmNN+dZYtVhTNWuks0EPHUSbxlEm8ZR7nmZH7kep3ByZkzfWd H/e1fIuHgwM2JetY2nHnrW68+2LjxtOL7rrxBmiRwWBkjlA45D2bEOrizfMx/YsOU2Lso0TCvrpk RmEQ/o256qSyuUZ/XYUeRSiT0UDaLW3/JE8ndFSuYzKr7aC8XGZN+qfW2Ay7yGbYHchFgfIHMhd3 83xpVcFS4Tle6HMKalnz6+XHj+VyqHF2Qix82kcilEVVWGwgJhnCaUpvYN3q7A05UHlR6YICh7h1 sPTY7MrgNXPewuEAJTQc6jsaucey0SmRjvAyXec/1Ldkz24BQ/qO7aDEUg0m98aT4hy5VkyKlzma g/A7jCbxZpGTMMSDXUOKgZuDcOs8fG8cdTUQPkIM7oTgbE68PEbQf0kpgDUXpKAynoQFv5XzqVdv T355/z6GeIp7PcSh/MX11aezvUBse8FgpcEAfrNtfVPY/hbHF+fX1xdn8dnl6fmby/jn8+u352cX p44tchBF5iFdUmD5cFP8IbSJwoMYwsuMAwGncHocYIOSVsAtGTRNSaIVzpb/sBJQ55RUOpRqT9Op 8kiBY6DnZUO1kcaGabVc6QcYaY6MiSNj4siYFuE41E5JKZKRqZpwZLIqH5kqRWSmCSnJF1xQagKT lUwpxaUVkvzpyZJFpQJVbnqyO3vizp64s3MZVgRFMNTQtZeTe0ertLCU1KGi4cYqGupaGD4lLZRf 1SzHpZ5u5Qy3V87Q0rzwyWueRodpSzgJoKkfWTxUa6vURdTUH9J76jewDnpCEcDP5+/Mnvegvusl 3t5P6xv1jtPduVoK7jACV3eu9foe5XMrqFOTnSpv24bTiDx65OrqzO7Q6jG9fatL191W4enftcGg UvG8KurTaJ8BOO3FZ16aFEl7PTCxu2BXF0Q8Xam7v11Pa8MnraJho+5zE/0LvwlNazBS7aIrRm89 6HWOYA9LEMDvzdxiffVCeBzpjdL+Sa4qpqq3YqVmHKksstLymVWgNLKhCVo1VULQqHWZLoN1PFCJ mxv6cjysopZnqKJD/YxGxiqDvYwIHAURYoMgqDUSpVLFNy9KQghNyApcImffQYKCiG2f9JKElcsl JKoqRFvOYQlVTClU+0WrwGF78Utb7TLWlEZsczpLKhE5l5H4aK3I5edrSGRyN0m+0/rXX7u/aSch ZVpDQlw0mJMGW0lJVaRSSAYDDvrrW7lajDIL27VuToO0SMMx3212zSiYZTO21wyizjJqVlRyGAdV RKJ9UELblvcS4JyDwQYuzMEMVYNeDYeswTp9WFmiis+SApeQnRODIG5Btj555dYCHBGMJpBpdbQ1 sSkjnyCxwrZaI8pHj8vGLLFV2M52BDawID2boM9vSW1RVNrT+48nL7htuEzjS9iPYYi5uS881jFN dJdS9xt1yA7D90RxS2dq7skX3W5Mu2If0rw3yz+z/E7xRZk6M4qx71ZJThGCqw0xXEyNlG5V/Hob qg89w+XoVwnh1sB6rCrluWe7KP1q7jTynTpawDru73wNo9dlZzi65Qy9MWjBEhVYlao5/G+ofe/l S11e4qlQVKrQG76o0WxGoA+hKbQHuPTWC8TysLODwsTSZD3sSS+7dLg3Jp/TWFrk1cVHxSIJDwIb RhhzRASAsV0WSfGGTJV6i6uPfdVulSeDOZFZszo9oV4A94UqgA+Xao/EwnxEeFiy1+uJw5Jb8Q+O BHUQAJh2EDCyCyfTokd4o97dsF3ncB0BhKSfky4EK8c46nB5Zc6OHbGei4oPRng3tGc0oBfQV3wK WNmMp/fzv5TURT6j0tRqUlE8lVcMAfeVU0KscljHGgey3MPNY5zd5vNpnKd4w6rxXa+plZxUYXed H9Xv0VhSMH3JVRVGV3hTsIjBnszu4NCkZD0j1G3wUh8VUQcjanpwFjEK4HcLNigckTIKE3NINuxF MqUT3HD61QPxddTtQPeag2yOWD7oP6n2mjnEbR/ic9DuodaD+XcG8f0Yvhb810B8DeGbAL9lfE/+ GwD+uth0XXi/lZD+8/iefA2A7wXmYv60RNNNuh4bq6/fy6yPzMk3AM3JU8TmTsE9JXBOvi46r4Li wh4YenXhaQfeNgC5BtY1HG9akonNTQztRto2IDchu4np6+1xPSxO1FFf+tka5tbReFAhBQudm2jb QuPBuuw1B+OE3z7ArpaPgm8KjXPiB0GndwTUH8HvJwnITQ4YVGV9wc4guA65TUBusGPhbQcmXwuC m5sysnY4dqNjAzu7cbETQhvg2MTOuwfLNjS24bMXFPtQtI2MHfD5CYFlQ1ky2T09aXhcpADz4/jz 588cGQPOb7hft5hUhijF1w126mI+vH8BL33rYXSUo3HUZJsuK2sFJ9VCfeMJWceFQliWha3oizvf 4OIGOprRKqL/hyZtdkLWvMJH5XBXQUuDqIvh/YP+kYjvr0UicwfaQK2JJyke+XNft/OcZM4wAXxX TqPiYpZlj+V1XraCL3ksYZ7t9Wt2FQC+pR1YPJs8yrd494E6KeOpXXvv+oDM4P0GdFu0Y3gHU75w H/vq4TbN4S5R2JbOFo8x/BK1oZhXQt32+R+rBQ9vyBN/O6TD+z3uTxL3/AxxCj8Y9sspfN5wnFp3 8ymnj+k/FtuPFygPqOBJCPgzcx6IcB19kRWKoWutOpXYENTR6sB/YszCeAVKKo4EGD9wn39ECSH4 8fRDfHoWfzq/vB6LSPdwACQMxQEQL/1wJ9N+PZHabU+MRuNKJxb+/TkpNGozcQPREEMFhwNxalSN N5HVNtwkLdZvOPbmebG4ny2rGhEq36QR9fqxRViprDxjxOKNlTecILfiBXlFMnLAxxkmnWEpnQpS G9z6ZVFE5IY5addaj4Rlf9QDztdmbaKWEMB3zCOts0CEeBdVjVqCB0L7gBiuIW54WIkO1LzUsdDZ shrqsP2ux5kWWRVlNnL7GhO1IeiQDA2TxeTD5uuJ5qvjbEO2XPTzBuYU0aqg6WWyRT5DjSxuS79X np/8F7u3yEE19QTMWLGMqqWM5YsHkBt2m476BFNLLcyvr1ZUsfK8J9UycgZgjVwVizHUQEehZ3i/ N/6BcQqwXn40X4f8YS3/FF3m6Z+tsW9Xty33Hz+Sq/TP5qwPIvR++oO+8H5EeIebR1myDF0FX606 PQoctagfdnWbCMgMjVyaUrLK4yL/QtsgiZNsWbo/nM1jXDqHvo6crPI8zZb8hverNJnnk5P5CjrX l6K25XzZrLbr+fLm3l2XYtPtEKdU2AZ9xKFu61gaHkf+qT+KzJPaNcEEipt27c6qbmu7e7OW3UVd vGYl6gZ6FAltpNMDuFaJpk2Ls6prQzRr6EgUYMSJKOg5RLOOXNrWmR0ozbpaE+JAHYWj7bWmbbVp R2+gOO2bjl2CaqRDKKb+AFzLqF/eb8oonDS9E5G6sTTvYrLy3OJF9oSoeEg8Hox6qcUBZ85WZgWz JnuqZFw1KJ22pxLynR6zD9zrD6efvKHA7fdrzMxVHKPH1w1n5u62mJmzTs/3xz31NvkemwnAX9Di dCwDvVH2sbPBy315y4iQhXp5y1J9MCNtLQzfe2k8M8e6apuDVK5j5RoXo4X2IkrvvwEogEmkDaUA AA== --=-CHfyMtrMgQW6TGoI7/nC--