From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.5 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 7B22BC07E96 for ; Thu, 8 Jul 2021 05:17:28 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 5A05061CD7 for ; Thu, 8 Jul 2021 05:17:28 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S229627AbhGHFUI (ORCPT ); Thu, 8 Jul 2021 01:20:08 -0400 Received: from mga03.intel.com ([134.134.136.65]:39731 "EHLO mga03.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S229541AbhGHFUH (ORCPT ); Thu, 8 Jul 2021 01:20:07 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10038"; a="209485667" X-IronPort-AV: E=Sophos;i="5.84,222,1620716400"; d="gz'50?scan'50,208,50";a="209485667" Received: from fmsmga005.fm.intel.com ([10.253.24.32]) by orsmga103.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 07 Jul 2021 22:17:25 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.84,222,1620716400"; d="gz'50?scan'50,208,50";a="648262034" Received: from lkp-server01.sh.intel.com (HELO 4aae0cb4f5b5) ([10.239.97.150]) by fmsmga005.fm.intel.com with ESMTP; 07 Jul 2021 22:17:23 -0700 Received: from kbuild by 4aae0cb4f5b5 with local (Exim 4.92) (envelope-from ) id 1m1MPa-000E51-OP; Thu, 08 Jul 2021 05:17:22 +0000 Date: Thu, 8 Jul 2021 13:16:20 +0800 From: kernel test robot To: Christoph Hellwig Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org Subject: [hch-misc:m68k-set_fs 5/6] arch/m68k/include/asm/uaccess.h:197:7: warning: variable '__gk_dst' set but not used Message-ID: <202107081314.3tS0N4eD-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="YiEDa0DAkWCtVeE4" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --YiEDa0DAkWCtVeE4 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: git://git.infradead.org/users/hch/misc.git m68k-set_fs head: dc7590aca76df8c1ead0ebf59e3787d5555779d6 commit: bd01d8a7268b406331c39707183b2c42626eff8e [5/6] m68k: provide __{get,put}_kernel_nofault config: m68k-randconfig-r035-20210707 (attached as .config) compiler: m68k-linux-gcc (GCC) 9.3.0 reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross git remote add hch-misc git://git.infradead.org/users/hch/misc.git git fetch --no-tags hch-misc m68k-set_fs git checkout bd01d8a7268b406331c39707183b2c42626eff8e # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross ARCH=m68k If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): In file included from include/linux/uaccess.h:11, from include/linux/sched/task.h:11, from include/linux/sched/signal.h:9, from include/linux/rcuwait.h:6, from include/linux/percpu-rwsem.h:7, from include/linux/fs.h:33, from include/linux/huge_mm.h:8, from include/linux/mm.h:725, from mm/maccess.c:6: mm/maccess.c: In function 'copy_from_kernel_nofault': >> arch/m68k/include/asm/uaccess.h:197:7: warning: variable '__gk_dst' set but not used [-Wunused-but-set-variable] 197 | type __gk_dst = *(type *)(dst); \ | ^~~~~~~~ mm/maccess.c:19:3: note: in expansion of macro '__get_kernel_nofault' 19 | __get_kernel_nofault(dst, src, type, err_label); \ | ^~~~~~~~~~~~~~~~~~~~ mm/maccess.c:31:2: note: in expansion of macro 'copy_from_kernel_nofault_loop' 31 | copy_from_kernel_nofault_loop(dst, src, size, u64, Efault); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ >> arch/m68k/include/asm/uaccess.h:197:7: warning: variable '__gk_dst' set but not used [-Wunused-but-set-variable] 197 | type __gk_dst = *(type *)(dst); \ | ^~~~~~~~ mm/maccess.c:19:3: note: in expansion of macro '__get_kernel_nofault' 19 | __get_kernel_nofault(dst, src, type, err_label); \ | ^~~~~~~~~~~~~~~~~~~~ mm/maccess.c:32:2: note: in expansion of macro 'copy_from_kernel_nofault_loop' 32 | copy_from_kernel_nofault_loop(dst, src, size, u32, Efault); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ >> arch/m68k/include/asm/uaccess.h:197:7: warning: variable '__gk_dst' set but not used [-Wunused-but-set-variable] 197 | type __gk_dst = *(type *)(dst); \ | ^~~~~~~~ mm/maccess.c:19:3: note: in expansion of macro '__get_kernel_nofault' 19 | __get_kernel_nofault(dst, src, type, err_label); \ | ^~~~~~~~~~~~~~~~~~~~ mm/maccess.c:33:2: note: in expansion of macro 'copy_from_kernel_nofault_loop' 33 | copy_from_kernel_nofault_loop(dst, src, size, u16, Efault); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ >> arch/m68k/include/asm/uaccess.h:197:7: warning: variable '__gk_dst' set but not used [-Wunused-but-set-variable] 197 | type __gk_dst = *(type *)(dst); \ | ^~~~~~~~ mm/maccess.c:19:3: note: in expansion of macro '__get_kernel_nofault' 19 | __get_kernel_nofault(dst, src, type, err_label); \ | ^~~~~~~~~~~~~~~~~~~~ mm/maccess.c:34:2: note: in expansion of macro 'copy_from_kernel_nofault_loop' 34 | copy_from_kernel_nofault_loop(dst, src, size, u8, Efault); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ mm/maccess.c: In function 'strncpy_from_kernel_nofault': >> arch/m68k/include/asm/uaccess.h:197:7: warning: variable '__gk_dst' set but not used [-Wunused-but-set-variable] 197 | type __gk_dst = *(type *)(dst); \ | ^~~~~~~~ mm/maccess.c:76:3: note: in expansion of macro '__get_kernel_nofault' 76 | __get_kernel_nofault(dst, src, u8, Efault); | ^~~~~~~~~~~~~~~~~~~~ vim +/__gk_dst +197 arch/m68k/include/asm/uaccess.h 194 195 #define __get_kernel_nofault(dst, src, type, err_label) \ 196 do { \ > 197 type __gk_dst = *(type *)(dst); \ 198 type *__gk_src = (type *)(src); \ 199 int __gk_err = 0; \ 200 \ 201 switch (sizeof(type)) { \ 202 case 1: \ 203 __get_user_asm("move", __gk_err, __gk_dst, __gk_src, u8, b, d); \ 204 break; \ 205 case 2: \ 206 __get_user_asm("move", __gk_err, __gk_dst, __gk_src, u16, w, r); \ 207 break; \ 208 case 4: \ 209 __get_user_asm("move", __gk_err, __gk_dst, __gk_src, u32, l, r); \ 210 break; \ 211 case 8: \ 212 __get_user_asm8("move", __gk_err, __gk_dst, __gk_src); \ 213 break; \ 214 default: \ 215 BUILD_BUG(); \ 216 break; \ 217 } \ 218 if (unlikely(__gk_err)) \ 219 goto err_label; \ 220 } while (0) 221 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --YiEDa0DAkWCtVeE4 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICHBa5mAAAy5jb25maWcAnDxbb+M2s+/9FUILHLTAt13f4iQ4yANNURZr3SJSvuRF8Cbe XaOJE9hOv91/f2aoGylRTnH6sLueGQ7J4XCuVH/75TeHvJ9fX7bn/eP2+fmn82132B23592T 83X/vPtfx42dKJYOc7n8E4iD/eH9x+eX6c3fztWfw/GfA2exOx52zw59PXzdf3uHofvXwy+/ /ULjyOPznNJ8yVLB4yiXbC3vfsWhn56Ry6dvj4/O73NK/3Bu/wROv2pjuMgBcfezAs0bPne3 g/FgUNMGJJrXqBpMhGIRZQ0LAFVko/Gk4RC4SDrz3IYUQHZSDTHQVusDbyLCfB7LuOGiIXgU 8Ih1UFGcJ2ns8YDlXpQTKVONJI6ETDMq41Q0UJ7e56s4XQAEZPybM1en9eycduf3t0bqszRe sCgHoYsw0UZHXOYsWuYkhc3wkMu78Qi41FOGCa5FMiGd/ck5vJ6Rcb37mJKg2v6vvzbjdERO MhlbBs8yDsITJJA4tAS6zCNZINW6LGA/FjIiIbv79ffD62H3hzalWJHEMovYiCVPNL0pAfg3 lQHAaw4rIqmf32csYxZGNI2FyEMWxukGD4ZQXx+cCRbwmT5OnQacjnN6/3L6eTrvXprTmLOI pZyqwxN+vDKP041DwiMTJnioT6czcNksm3tCn/s3Z3d4cl6/tuavz43NCd3kkocshT/popkL YfkiQ7XAQ797KfYxSzxjH/VCAKFESYLAugBzYDVLkjIWJhLUXd2BmlsFX8ZBFkmSbkyeJlVH 2DTJPsvt6W/nvH/ZOVtYwOm8PZ+c7ePj6/vhvD98a04Ad53DgJxQGsNcPJo3QpgJF68hZXDi gJf9mHw5NtYvuFUK/2JlagcpzRzRVRdY3SYHnD4V/MzZOmGp7WKKglgf3gIRsRCKR6lJFlQH lLnMBpcpoaxeXrljcye1Ji+Kf4BatSBKqprKL3xGXDAgDWUQo80AbfO5J++G140u8UguwJB4 rE0zLqQqHr/vnt6fd0fn6257fj/uTgpcrtSCre/8PI2zROhiBwNA51atnAWLcoDNeihELqjP NK/iEZ7mJqYxvR64IBK5K+5K3zphKvWxVpJy2oS74hI+dUPSv2gPrtsD0x1RAXfZklPWAYOu l3emPU3IBb20DGXILOtAiy8SUDLjJDIJ7tK+LbTvJqqx0ilgjCvLXTstCJUukhiUK0/BEsap tlUlceXY1Mp1fmAM4eRcBkaKEtlzLikLyMbmE0GHQKzK/aWu6aZTEgJjEWcpCF13tqmbzx+4 TesAMwPMqGEEkOAhJAZg/dDCx63fE+P3g5DaymZxLPPyUusnTvM4AV/CHyCQidMc7BT8FZKI Wn1ri1rAPwyPXXjq8rdPlizPuDuc6jP22sKKsrrAEEdw1ANtgjmTIZiyypEZU6PM22DPh4sZ aEtMYsHXhT/VQrPCMmmyyjQfwwIP5KYr1YwI2H5mTJRBiNz6CRrbkkUBpmGypr4+QxIbe+Hz iAR6UKvWqwPYkkVSBwgf7J0WMHNNNXicZ6nhNom75LCFUlyaIIDJjKQp14W+QJJNKLqQ3JB1 DVXiwYsj+dIIGvAwVXjouZbjX9DQuJ+wFOa65r1U7qDMWpLd8evr8WV7eNw57J/dAbw0AUdB 0U/vjobn+JcjqpUsw0LAuQo4DE0RQTYrzJ9xiSD6JhJC94XViIiAzGy+H3jpnMkM5J/OWRVE t3Bo3QMuwMiBTsdGkGnifZK6ECvYDZrwM8+DRCEhMBGcGMT/YDEtqyuym0JtakGaOUutNdMb 7fJgrDbD84tcTrTguIqE/RXjc192EaCLfJaCKQYBgNW1EIgsNC8FxBErNPoNFPIyHicxuNyQ aOmT/3A3bJLBZC7JDIQQwDGD+o/qjYRazAQ/4GAD1+Pq7it9Sp63Z1ShOmkroMfXx93p9Hp0 5M+3nR50o2QgzRWCU5s1bbhX9FeT6x9GFHM1uflhPUjATIY/LFwB8eOHnowWk4CS1GavtWrx tnvcf90/OvEbVgBOTTyL6/fgPFlohLQaGMw5ODz0obalaHRxFGx0HmCD0MnYLIEArYPTKVM4 6mdRS73KBHzGpcdZ4AorFvyHy5dTzSfCUloGmUJyCH/OWmA0ghpPuCQLvF73d6PpdKD+0+6+ YrFKuWTSTzPbMReTxMlmRmid/ofbx+/7w06pzEnXGTysGWMds1cN6BxShq5dF+1kISDrXYgO C4hMnEd7sQdQaLeb2ggAlHcf/JgUO66MI8O6hkmr5DX4MRwMDNIFSyMWFKTIpVxE3F1EEyIB 0hIekbDgZeRVcQnsbHP2foKU5u3t9XjWvUDr8uq+xGvSDfOeP+3+2T/uNGFj9qMs7IqkTDeN nSHFtr5vj9tH8C4apybZ7CCNwtD2CAd+3j3iyj497d5gFPgs57V9/jQlwm+FKILJ3BMttWae xylHx5ZBgAFRBobGFFNkLTRIqZ+PR3C18tjzctligRWxMHbLipEwreWcSB/D9hhd1Jy1mK4I TIwBf0JSCBCqalRTuZNxVWYw7mLsFuNFwij39AQYUFnABMYVKkrDmOMitkHGWNHic5EB18gd dxCESmNxpYcvBIN21DQ5sOVGuJ4ueGU7tGiiNr9zGi8/fdmedk/O34USvh1fv+6fjeIHEuWa 6ldu+NLYtq/+QI3qOwYeE8NT3ZmqSE6EGOYNWmJtyxnTAYr+mBjJcYnMIkTYPIRNl/qVrOAm UlqXLIPAMh0coN1nFmg8zBQLQ6hu9kUZZJi0WWap8euHfzUb5mP9s2EstsLMG71fk0nnPMRo xhQCGKEZhnDSv/v18+nL/vD55fUJVODLri7EzlDxtJOEfFVQweEW3GdYLjQwmMnOxNwKhJis C4d0ic3B5W0uoHI5HNy9mGUXJHiI+2JTVZgJXay3F0bCFpci0Wpm+LsSlIf3vZk6BOyFPTQG CTCAcUKC3tUUxX8IZWm6SdAidHxNsj2e93iTuo4ctiC5VFraH+uEwo1FQ6qleB43wI2jac2o bzS8z5ccxsSVleFxUzbT47p7iJKL2ojLiFt2OBrNbdCLzcx6DBV+5t3rizPnay50NGx2lkWl WEXCI2UadE1tilhqA+zH7vH9vP3yvFNNLUclcGdDzjMeeaFEG287/gIpaMoTTeuVR8FAscR7 kK1quvwBEJswywTbMYlq1Ehi3DWNENxJB/Fg5SsgqAB5mrjC58aZqe7FAAT3bxhLeLr7At5Z mV+XR9Un2SLY3L28Hn9CzHnYftu9WMMOXKlRdBBJAM4xkcrlgVcUd5NWikzbV6i+KXOsGKCh M+oUqMs5hAWzzLi6C2ELEqvWUwiJH2wfb52b3k0Gt9M6N2Qg4AQiFHTZC23lNGBwPzFMN7J6 s9Zawx+SOA4sC3hQnlIVxxvaEoY6Iq3cuFtl41ieX8D+bazBZuauKgc25oWluA9kbC+uzrOk 0w+sT7//gBsGEeu2blwVqTrucf+PYVGUpiaUGyuk3HbYlBK9ZJrQkHKie4oComKJnPJuGpPQ T4/b45Pz5bh/+tYE7SrggSy2WJuWJzUFqCIQ81mQmEatpgAHJcOk3aOrFFySyCVBK2jQu12K PSRwIWYHReO0s3pvf3z57/a4c55ft0+7o3ahVmrLeu2tBikNcbFlonkIzLzr2YxKczNOFdK7 G+7QVVGKbiHaK61GqUgeXblmViq7qqIYO64F1WSO3tlN+bL3UBQBW8ICrRcf0ajpJRMwJWG8 1EJ0hSNiE9GKQkVQTcuqrjDBhSq6JVrAlbK5UUsqfud8RDswEfAQjdVLG66XgkvYatghC0O9 blvNk95350l4TpahZsLAOFQuBJTE05UIUR6EMIWFMZLWnitTZ9F60lrFBj5He2zvIWtDatFG enqJvyDsSjkx4nYFDrE5qFCWQy4G8tSrRr8YmGy2bthWK5VuQwU/lBqIqlHehFFv2+OpKhhr 1CS9VgGYTeUQr0WqUpgTwSmodssFlMtTVUjZlJH6p6E5u8FC5euqVGuPITv0KQR1dcGtEzdW G1Y7zuCfTviKEVtRDpfH7eH0rCozTrD9acaNMBPEmXBFhG6wCzBsw54HVdg8ja0EnrRH4FEL UXlMhOvTp57b5lFZbOG5tDkAyCtbQ3FtcZzY7T0i6xAcLlZIhDRNVFVV+5zG4WfveXv67kCy /eY8td2jUhiPm7rwF3MZbVkihIM1ahuocjxmEqoDZ6bFJTKK8W2NEciXGMgWZxvJOm9vOoTB vyWcszhkMrX1RpEEjdSMRJCXYVc8H5qLbWFHF7GT7kb50AJrcYllYiGC5DTAt2xdwYauUPai s1Pw+raee4XOJA9aV5yELUActhmTmYBQwWpEL6hTWQd+e9sfvlVAjNsLqu0j1vNbOgduHTaM MoVkay7aypH4G4hQbS1phe2EZg00J1EcbcI467OPCeQHhSiaoPODpRePQHbPXz89vh7O2/1h 9+QAq9Kn2G+VSySBVET47WXWiKI4jwVH7tnfKZnkoDl9Wk39ZDRejK6m5gEjfHITTCcDEy6E HF21tEMEHf1I/EpOOk/pYrnevhBlTkeFgyvC8v3p70/x4RNFafbF6GqbMZ2Pm+ln1C+eK+bh 3XDShUqVw1UPcD48GbWWCKJkc1KEFAVqY99gVBHTsccFuDyw4vR65FCRVm+jeji1TtRKM1qj zZ23ZG76ZLJSW+klwLCsTVBUMSgFIX7D9s2pbky0BcT0V7M6FKwx5FcQHOq5cQ8B+LgLXGbl W8iqBGBZVoVTp6gWHySQSDv/U/w9guwrdF6K7NF6IRWZedD34LLj2qXVU3zM2CLe2J4jID6b 2fJNxPgbyH+KwLweEXtWRuDwsQ7R/+anXUTEtCbKggB/2Lp/bsv8P/SpWMUsgICkm3enM7ht +xPWayDz3T1u3087R3WjIFsFO8oxWy+GPO8ez7sn7UlxydgwPBqw6EzcDac2nGoCqipKUxjB LeXJQlJ3ab8MRRGyLZHCOixDpnXnqlAPoJWFaOI/BKpnQFjqtoeISOKvQmtZSSE9MgPLIDp8 PVvDWmEkSedMCxE0IGgH2HQ/1frIOhZPzj7Oo7riGzIonPr+9NhtNkKMIOJU5AEX42A5GBmt FeJeja7WuZvENmWFJDvcmLkjSOF2PBKTgZZ4QloYxCLD5wEsbeW9JHHF7c1gRPQXQlwEo9vB YKzLs4CNBvaiSbkHCURXVwNbkF5SzPzh9bXmQSu4WsftYK1P6Yd0Or4a2csFYji9GVkmgoBE whbBGCbj5ilcNRveDk28a3z8Akml61mfNtARWom6Ss0S7Fx3bHsBz4kcaVFsA7zqAIsH3x1w SNbTm+srXQIl5nZM11OrGGqC9XpykQKi7Pzm1k+YWF8iY2w4GEysIWtr+0okcvdje3L44XQ+ vr+ot1an79sj2K4z5pdI5zyj4wGb9rh/w3/qrfH/x+iuyuG1QadxQecUiVHJIQHkeASj/kSL 3Bj14+YXvps1n8MvExJxahWOcbWLCJcKXkVOHZVRXbow1koXKeGu+sJEKyUglfmrLA/rkNI7 VEqqpi3nc84/33bO7yC+v//jnLdvu/841P0Eh/iH0Vkp/YDoebTspwX6greEe6VrbT3E3qCt 0dRu7tW2aptlO1ckUKErKXrt5tAgns9bFXaTQFASFZXCjuNS4pOV+hnlomIo1uTwlPqWJfCL ou4xKnjAZ/CXLiltiL0NURPgtzb4sdAFqjTpLq0J61sb+8WU2Eq9ktM9AMJVsUm9uu0sOvOE T3teHypF7Xk9rpBl+7LNs1pGmXxeYO7377F15eobL4l2IvBLSdRwtQCDbGQW41OSNLW+l0Qa 9QZCu4QIS1Sxu9AWSJ2Or8/YGnX+uz9/BxaHT8LznMP2DPGus8dnqF+3jzvNGiAL4lOu0ml8 ma2LBpE43hL06m3H8ibqsLB4FO8yyfSvZgCMNU399VvoKgOkZ7YFZNiFDDrDJipVbqJ01x7P NWjVw9voCWq7LVdAulrUJiiNhPiYsugMpGzOhUxJT4+ykqIbqr6O1L/7anD6ZoGyT9UVE8/U 84q8rJWGJCJzlqoHRPamIDLhmFZxEUeNxACc4OsYIbEZ5RraDbgMv03kCXMNqHrf0FqNiEgi fHt0GebS56pKueT4EAdTU4OfOrUOBMzUvQFVyX2XmM2E+Ts1N0GxCWdAQo730gCh/rW29MB6 StDI4WKioU6n9S2IgcysXhAFrrqCejsGW+cLtmmtDcsd0lZPxaNYcUl9Y3f4BZWSnimp5mVO DS1TELP+IinQFq0HbRkIxW9auV1KiE6UKbUE15D74PtWW/qkX1/4mSe2xJAf3t7PvWERj5JM E6L6CdGyq+2+gHkePhwOqlamgRPqVdHCXvAsSEICt2O9KBp+dYPkGb8ErM3zqbWsHKugrCgN WOEgNJKte7GCpoxF+fpuOBhNLtNs7q6nN+1t/RVvgMT+ukARsGUL38IWnzNop9BXQSwGgO7O 4qKH37zJKGGQltrSJQ2dXF3d3DSn1sLc6urY4ORiZv1mpCK4l8PB1cA6FlHXtrxToxgNpwPr brDFt8Bm3fTm6hKLYAELtHKYJz2XyaDI8RMga3OvJpOUTCfDqXWPgLuZDG8uz1Oo9sVdhDfj 0di6DUSNx5cGQ456Pb66bbS8wVBhgybpcDS0ICK2kvpLuBoRJxD6x6lu8WqcIKHIdCfUYGS8 IiuysW4LxnygWfxeTEdrC18ZjnIZZ9RvmfKGYBVMBmN7VaQmWn+k2dgVT0JO23ZOWQb9VSi+ c07ESIvKKhDktImwkOazjWsDg2vh8HeS2JAQK5FEcmplWCPB0RePtjokdFO9M+mg1AMo9SGn DQveF3ybKmD34vqnxXYbC8zX4/W86hS5dVYP/wcJfdNWs2lPfhHV+4ihQNMNScymWly8UYfU k4+s39EogqVYr9eEtA8YzUd7cc05FLWNrsMQ+F39BZehPpCyRTQlGkVW+CTtmU0DBGsurm8m Wp/MRF7fXF9fwBleoItti+kSqb3+YxLSnqXIEDLOUG8XG+gMzDZfU57a8bNsNBwMx31bUejR 7QeLo5sbKkMynAz6+BQU8+HQ5uNMQilF0vpQxEKAKmPdUInHx0wX8JMPZ5iYFTcbgfFgSidw ye1gPNFV2sCi3qe2/4mJTuWTEBIb3rdIxmTP5GxOArLuvEAySNZ0PBgM7Egv+4tLkdmZz+PY 5Wv7QJ+7jCX2cf4GgPDnZLpe9+kIDzgom72826KTzG4WdDIxFZvr6fADMc+z6IH1rYgtpDca jq4/4IFGsecsgtiOWBEaQ2J5M9D7HF2CXi2HOGY4vBkM7dwhlrnqPd8wFMNhr3KCMfGIgEw1 mXyw61DMR9PxTc8K1A87jkdszeOexS2uhyP7MIirQtUCtKu0C1mVvFoPeqy5+ndqftPbwa94 zzlKfHszHl+tcyl6TqQ2slaxrlx5c71e/yufsIIodvjxNQj/j7FraW4bV9Z/xcu7mTt8k7pV WVAkJXFCSjRBSYw3Kk/imUkdJ045mXMm//6iAZBEAw36LOLY/TVAoPFqAN2Nwg/TjNJ2rXrV fO8QOmrGCjFVOPophwPPG819ucURuSouYWpbYnOljoYvsL2YjvXtjbR9RBNB3VR5SZee1cw9 yNjgB2HgwtodPrtH6Lnf5UVlXezQzGOWxG+NtqFjSeylIy2ih2pIgsDRxA/yxJesRn86tGqR D2kOvrWIR8eM/wCRRPTlQGn90q3DUNayrGsz3pVOR75tcOpsXCHyI7RE6HSH6olY0MqvkL5+ OB1zvqbKTYGd+1AEyZtl23IVJ/bsmlXh6HEhDgN5JqtkkmTvb1tYH01hyWF86669zMIuXdvy jTN5Ky1xsTeHvKvezF1AZVWcpMW+kbFALxDPYEXJfj8Ov1EKoET7an9uIDqDEq55ftRXwxnV Dct97AIu9q56b9da7UyXxG49X3GKmpgFOMtDOePDXbGLvSTkYm/PBJbFaWSXSIirP0EkMbjf A5muyK3M0yDzpj7nLDzoikkoe55ZdrkS3Gy5iSnRlGU5NmFkDUZFxrMchogRw0d9kGwsYYpz hiQ3uYs2F/rkT5KMFWlV6/4iBtwyIm04idfhdIbNPgduPnwPQHS7vq1N1V+QpHQWY22g0Zsy CbVbI8+dFxpZcoq5sgp6UKqLfZPf9y1KYFJCNP0oGrV2KCi32WO0GIvz1MPj6yfhQ1P/erqb Lo5VIqMK4k/4KSxLvmByU2/R4Y6k9vkV3XELorJg4OwOgxxg4ihceKxw5H1h5oFweWypl+k8 VWjOaZ+3lWlNN9/JUqKZ/UipywBnRIVp/dT9kS+aNsr/Y6dG+L8cWZMb5vOXYWJYaIerTeN8 Cxn8LEtkkHk+1uMmu3XDB6S7qBCOQCaF3ZR8SReXsaaLvLKGfv38+GxbWso96K3K+wb2f7gX cSAL8HG4RtZink2+BM5uMCXxkzj28tuFL/dgWPEm/w7uoShzSJ1Jn310eitU8C0NHvvbWbjV RBTaQ4TItppZyMJV41AdSzr0jC6mK/J9x5BLtv0QZNloNePx5esvgHOKaE9hg2Pb/siM+A40 9D3Pqr+kj1aRoLKwcbcSTMAiNN/gMKOGzESt+5v1bAvK4kCBrCiOY2eVhBV+UjPYppFfnGE3 gpc6C0UHRgpVE+FvQ76H2luFUrjAHGkBA7nLGAxml9OZtvm5hOBV73w/DpYYOASnW7J8yl0b WTvW3JoO8nDLX/DUx11TjWSdYWw9+GGsm6Mac4yZohj6Rp4y233+KE2tyrynDX6EYfRAXmsf LpM3piV8EXpCP8fX6KI0PEdlfjnNzdLgeBKtrl92bX2TYQDJOAZdu1Uun+LuXGwuF6nxCX8O t2aSZFi++gRO8HYC3iGi0NcbeYFkaUmBLUxj3R0qvH1Q3s/CAuqjex0EcxZxb4n3Y+B23ebH G8RzoixaZxifNfMNaRCN5AruLMqUJxcsChEwFPxf19JS4QC1U4ckNbPMFyRV6teagcJMvhV9 TN+9TUx8QvnvmMQ9wErRgIcPufpY6Quxjh7PlxNSlgG88AqDBc34gajXEIYPXRC5EeNsxUQn wayEmpp1VyX+/swGYdcnXcJtA42gIOwy0AaEV1XcWoK/B9oTg6hFCCV6VwewCFvosGLgeHum rq4Bkd7tQoXCRcmb/Wlbz0baUP5Z5wRX5aUyS/1EGOS738GRWTmp/c+Xl+8/nn/ePX35/enT p6dPd78qrl/4mg7ea8hkVlSFz13Wvb+GlxWE+BQhAkyXBwPmyuqFMnM12DTbQI2haqtLgCWC 7wonym0K5f6bcEnGDHU74mxP0xU8KjTfNs/FcLYhq9uBtKYHUBrcv/syxX3hnfUrX5U49Cvf E/IGefz0+E304FkXRpkP+Ynd+Hxj9dvTj794qiUfrXF1k3Nn9zDqMJypYJ4CgtbC0hMkZUFv ikxi4JQOUdydrQwmgVhpWujQw81xpowIHS76+iCe8wv1UDHlkQFFeTvruZdXDaAVFb6m0yyK oa35zAwch0K3X0fKW1fPEVY1kl0cQa3s9obDhfbxO3SVxeLWtmUS9tpCLcMfUqqaEjn6moLK He2vLlhGaQleHfc1GVwMQD4pbfPj3sy+4NMuHXdZymQa72h1BuR6Kx2xahQMgSUc2XJt/Qba IjqpAkBpfBrlVIgI9Wax+1PxvjjUDvvzDozq/axmiUeeJQBe74xIwaJpx9qhDXNw5KsJpS0I bJpIUIqHD8f7trvt7x0OIZ3wAZ+mH9GH/n7+8fnb89M/vPfYWzUoobDpm/m715cfLx9fnlXn M7oa/wcWgkigi82kfMEBFXhoqiQYSYcpyA7PNTNJBif8YtPZBz5+wNXvOPSnxhhuH455Wxe4 BVr6euVAWn92nbaX53+YI/g4dIJnij3bsbuPz5+lY48WqVPLgGuwYL/8XijZZEk0LnGIQhdr YlHdef68eizn5dXSA7qh44V7+fgvE6i+imhZ3eEDvCACJqHHaoAnXcCNXgie74Va8LO/+/HC i/F0x1cevmx9EmE3+Fomcv3+vygoqfWxuez1EfY6iww5odWtSIGB/7YQpig2FiCXhCXDRYSS JE/KqeE5MbRFF4TMy7DWaaFoEjFRvYNPGBv92LOPS3reON8fv999+/z144/XZ2q5drFYXwdd NsdSA3rBorTxYweQuYCNplGpIHIQR5irzlyFFsqUdjUPf6MzJEXgChcbwNRcveQT+4HJUff3 MKeabYgVOPG9Ahkez6TbxTeo1gMigirMNr1Z71Jxwb48fvvGVV2hxFpnj/Lm65p32hGd/oVF HzU+tc0Spt+zSmp1fPCD1MiK1SeTMQf3kOKgb2tWSjur9IL69M83Pl4NrVHmKg2Sib6viccz SieowYiOujU6tJ4rQ64ob+LQrJuiYofdBUnNAsiLNLTICfrQ1UWQ+Z5T9zOkIdt8V74pJXnN S87D8o605KX02ytlZi4Ymi7cRKFRuabL0nC0hItHrKoYS+IsMeUmyBv9MkeS5bWlJR7b/sNE 1SX01L9syczLvSUxoyOE/sa3qwa9yTepRRhmmWc2fM1OrDdYxx5MAUO9jERZRBkvn19//M0X HWMMG+263/fV3vEEgCwc1+7OnT7oyIynNFd/WuP9X/7zWe2kLIXo6it9/layIMq05tMR/9pS AFZMFzrb17pciO/r5WLPj/9+wkVSCtSh6vF3lQKFzvlmMlTAi11A5gREjK4tChyKOHSrIpw0 cQDYcl+HMtJKCCUOPUdJQ9/xuTB0pQhvRV+4yhKF1Fyrc8TeSOec6mMEA74+1FHVK4+6w8Us fkp0HNVBZi3gdBWRBVmlHTtrxMnQRdN/NLAdklA3ItIxeLQIXUFIkJ27Dj+ZoNOdroVdmUtG Wy/My+K2zQc+VrQTR2UIAT3xrKkbiixz0mUr5khJp45EIdKi8Xk42QNPRlhpvUSb/FRZbsU1 8HwU3GBCoG0TagukM+i9AtGJTwl6YNPZltkFRsSJc3sfpKNutWUApr2DCR/Ke3IVNfnK4Xbm bckFCi5zq0mETTR5pD9JXtgCUaWSCJn7ZEBktjRiyLLb7lw1t31+3lMHF9N3wKg29fT4WAYS 2JIWSOATop6sklppur/ccKj6TiZIKwXqx1jrHlNC/slso5ubTMCiUBgAaDBBaicw78uWLwi3 XlKgc55DmMSUdfXCUER+EjRkBfwo1n0rNCRNk01IF4pXe0PZYmOOzM6Wd9fIj5EmjKANfb2i 8wTx2peBIw1jW8IciOHLRH0Ayt7+crzJ1kYNcBg29fPM0G7DiCr11L3EeIB2CjaRb3ftvXiU h6GHSeeeOcQe7rrW5/thE8XUkj4XvdxsNrF2eyRCJBl/3i51aZLUcbPceUrLBRmbgDBAUdF5 yjT0kUWfhkQ+tfgihoxO2vpeQA0BzBG7EydvJt7ol+MaEPo04OvDSgM2QURFLSqHdPQdQOh7 dMkHLpG1GEmSgywgB5LAAaTuz6VUP5o5DgNZBRaSgZpYkSYBVbixvu3y43z4SKTsqqokyziM 3Vo/KPgPeJwT4qhS6Se8Y2dySE18whJhqFxRVCYulgRrzQOhpwKfKscu9bkWThvOLBxZsNvb 0tmlcZjGzAYmA2djGZzTDXxfdB5Ah1j57r6J/Yy1du4cCDzWUjnvuVZGBUXV8IBKd6gPiU+q KhNHDSdoeLKaoSEjBuBvRUT0eq619H4QkN1eRDjZ0zHcZx4xc68NDclBFEgBph5owm/EpQKu DV18AdF2mTMHX5OJcQhA4JOTpoCCt3INIndiUk/HHOTIEP5W/toYB46AkDTQEy+JHYi/cX0u SWhXeZ0Hq0MUS8i1U5eJrc602t8hshs5ZwogJNYoAVB9XgCm1acG/Vc12qwWtuhCj57fhsJw tLE5OhaEGek1OOdfHXeBv20L1xTQ9imfk0JiASkLfU82d7s2CckO25IRITTYlWx1SmgpDYFT M4qaESsoRFkgqfSwa7P1Jm3a1ebkMNGNONVR+U0ckAbxiCOi5h0BkHXoiiwNV6cO4Iio4X8c CnlYV8OjzwReDHygE/IEIE3J4nAozeiLao1j40VErl3RplQnFGf1GzRqutayzzASse1gPlFv cnDdbK03cpyaVzg5/IckRzS5IDIp24rPa0SbVFwliTyy/3Ao4Mr1Sok5RwJHQUQxWlZEabuC UD1ZYttwQxSUFQfY3IFVGjnTCJzqdQIIEwIYBpbG5OTI2pbPzKtqfeEHWZm5dkMszQLq2BRx pJTmzUWaUd2gPuaBR6wuQMd7Xg0JA7wnI1aBdG2CGA5tERPT3tB2fD9GLiuArPUZwUBKjSOR t7baAAMlGk6PfbILXwY/8NclcM3CNA3J8IYaR+aX9ncB2DiBwAUQE5ygE2qRpMNWDFsWaHiT ZvFAbDUklByJ7QmH+Eg57CiJSaw6rG185FEzmVocNq/tFiCoy43v2W+E0iDWBv1BGEUQT2bV DLu3TVglnuA+gscOHHzCG6gi7tutZcsbmBMzxF8TD0lDRD3ssaw4pkfJ9icIk1p1t2vN6J0H lWIHO1fxqg911E4kEK89iXcj7ZrhDGl8LiJVF2AAszXxY6VAbxWkas/SBwtdn2t3FIqRurbJ h+JQnjTDooli2evNwPF0zT/Qb+XNPNI/QAY1rY7QpCXxCYg/Jcx84EE+z4JlNFR1bHZ9/PHx r08vf951r08/Pn95evn7x93+5d9Pr19f8DXsnLzrK5U3SNAyiZkzdMVmY6fdsAhoHgXKCdYB BIRIFy1cSzSXF8w1vGQzY5RY5d0R0Vjy8sgGVLBtu5APdS1cTm1k8kS1EWVGSXymvBLs02UC IQi+awrHkRSDcL6mZKAL6pYHPsSnoGYwtuUzDGP11vAEYpR18bZoc5J9azxSKO05wHDxj7+/ fhRvODkfT9mV1qABGhzuORY5iEMmDWbIUzCROh+CLPXInHlh4403UvYXAp5MSJa2ETlOl1cW DRujAd00HVlo5nGMhtAnMUI8s40YSifIIaXPzWhGJyK3YwuqXYIJUYuLvdHMCahx4Ix/obG4 QqLMLK46yLkBy1FOJKYMOdUnl2gh4MIPR92pTyMqo2/cIApaK3fbBQmOmrWYpg7wuDirC/r2 BGCec9eQb6jttFB/6IPvq9adREbe8HAvlMTYzEiQE8/V/e2rO0W1ru1mehZRqrGCs42XEqmy TeBqdXUNaA4fefOHiQPfAhm1BpqVeFpKFtbqYZzCzmiMMJ3i7KY73IU6B5YwjrtnusPlRuQ/ RJl+ryNpcNFm9sG+iIc4o3sQ4KyO0kS6sTq+xdrYMz4lSGakPqC//5DxRg8M7g+s0D3JgIbC JIEAEDob16Giwt00admoMmxEgA6UpMubNqdPJsDUzvdiR/QkEUPHtDtEYEqnFGURDBn9SsXC 4Jw9oS6GJeGcStoM2rltyHs2DTamv4lqLzozgtxYFMInB92CalI2sEOP4FVIfi5xDAUOJF7k rfW4a+MHaWi+sAU9oA3jMDQ+dN+OWYJpyrzT7A1TcB9HVEqNAxl+zwua/uqJKGcbwz7faA6g OnqOhE3bBBumj/MVHJHurgqEnadVHqG+uiutGKzmnu1HLZoZhnMuOHVaIsCi3KCIM0LYysLs J0E0nqNVyrHdI9COGZm6rimNc75TSCK9MkucInek/YVnV49VebucmiEnLYYWTvCSPotwBEd2 bvUATAsP7DPFNnPh+mlz8ZV3D/MAkYG1gC9QXgxZlsRY65/BMg4d3U5jksrwai2nEdSUJ9/x KcXBNUKw/VvPzTRC1CBDj14QXfGmWlVooaufVfoikTdHAv1dCAPxqTS7/BiHcRxTqUy7qgWp WbMJSUNXxJMEqZ/T3ZfPlklIr1IaE19qU3p7ZDBRtwg6S5YGZHMAEju6XTMUYZxRMcMwT5Im dB0nLfONCgBb7FiQEVeWROulETw4ujoGsw2lxGIeqcrSUBxQ/WTSZV2pNhkt4EnffqtIXPkO XCK2o0c6uDLyGl/j6bIs3pB14Mo2PXhmS2PqmxyL35q0BNMbbTqp/47kjuV6YQKnlsgReQFx rc922h6BSn7JMo+8WjR4MnJ+EtCGXBn6nHXbqu8/gJsmChgt/GPJ0sAOxHtr3pDblDeZTANB giWRLxpQiLyJJZD2EpBp7F2KhjV7rtPRCyhXf2Of90YqT1CaA2cnkvp+8NYYojYWNJMfkqUX WBCNrhLGDq3B3iIgzFD6NUyZEZOj0+mchFmwhUdfuDYGRVVY4SXaqqxzgYAmYQVmQ1wEhzhd 3L8+fvvr88fvtk90qUeg4H9Ib/9yW2Nq2fFNzjgF/NBOZ/vpBSRWNTvlEq1h71umYn3oVQIE ApbceKFLrl327ZW+L1Gf5pXHn9yDV3SbT1n/ND/pwiAdO7T854zOPodPXz++fHp6hXdZ/3p6 /vYkn7n+jkSlop6knh5XeaKzuvGTyKaDt/7ANadNNppCQLA5t2oegK6yicLnfavFE5rT6WT8 1cu+ovzwBcSlh2vQ5Ufxktz0ZPW358efd93j16dn9DUD0XPY9nW5r3BDiFwXBGVeT2/23G1f P3/688logvyYw2MXI/9lTDPdeAOhJfJ/c+eNRVMNx/xSUw6RgLIaXmYv8YNusHwAeBj5OE+p Q8eJo27qTYDtn3UojMjo7BpHlCVU4rb2giy8p64sJpa+6nJjEE4QG1JDa7QZ0jDusZzNR0+F 8ETINXhRT/gUMarJTz149ourxNv9ue7fG90N/Kjn6F2iW+xeH7883f3+9x9/QEQQM27WbssH O7z4g24udltyKJFZiY9sHz/+6/nzn3/9gKeti9L5pBXHbkWTM6bij+kCBayJdp4XRMFAGkAI jpbxxtrvdP9DQR8ufJm4v2Cq7DKjTQyxnSyQh/IURLTXEcCX/T6IwiCnLf6Ag4oFpMF5y8Jk s9vrc5+qUez573e6jR/Q5YDAtNPQhnwIaCFzwYmtgUD0plwt/P1QBjHSGxdMHppRt3Azi7qY IZPfi+cHjMecCL4VXW9hcuoEC0te8l0CVqQMMKUV7YVr1V9qzkoeZlDSFBvnDV2CDgZgTxmL Lzyagknk4HxBSyvAJQ68tKGN9xe2bZn4Hu22M9eyL8bieKRqqQ7V9KXgjaE+5XEo2/rd8gjo 95dn8XKxWEXkERuhTIkHvAszCC0i8/+bc3tk7zKPxvvTlb0L4qXAb3194rOUvCl/djofNdsI 8eftxJgZ1xPRwbaBj8hac6tmR92e6VjKYIqY1BWtRbhVTYlyEcS6KjZxhullm8sgTHY+h2up R4sHEqvurekC6H1+beuyxkQIZQePWN1Oux3onhj9DTl1T5Qpvrau8TIpIzCIwcS2HqseIGQV pSrLyZRBgUKlHH/iZCrAD8/3eDJfAdaFIFX+26nhMzTtnwBfmZ+V1ojT87gA7pj5/QWtjwMZ FhgKqUIG4ZKLDYFKv1LtsT8f6RyKobld8qYurZddEZtqIwiBV0+OcI7v8b5yBguTnuhCMPws suRW7WmkgN51k0+EkhimXkbQasxeIcOoMmurdih/yf/+9PlFV65nGhoQ4DTeV3nTnGDv8VC9 SyJUGBSgTYq8qHOjC3CVrXhfGfXoSnGjVeyM6p0KizAbgeGh+9Nkm4afjeSmvBRReKDVgSl+ DWRdWdtFFDFn8sKcKxRQPMBZTBLFtzZXcWk0Lvl6GOd19KJt0QrrIl6s2/VQs6HBOrXs/XOM R85mtS97Ke5EY979wXdzu9enp+8fH/nsXnTn71PQquLly5eXrxrryze44flOJPk/9Ka5qigE FM5Z76rFxMLy2iz8BLX3rvlqzv/MF8jRlZ6REccQB914/0/ZtTS3jTv5r6L6n2YOs8P347AH iqIkjkmRIShFzkXlcTSJamzLa8tVyX76RQN8oMGGlL0kVv+aAAgCjQbQD4Ay2TCqWXm6zAtT pft0R8U36Fnyci9avd2r6sDV74Hrga++zgPHtvQvO6lpNR3nnChKyDfTd+uxaqtLlA6sk4ZP dNg/bVvq9YFH9Cgv/nrDOjZzTXxU85mRVzK08gasVZOUqhOyXM7bdMfIoOwdE6uWh7aqtXz0 KtoFOmuqeTZYYrK2PD2+nY9Px8fL2/kFlBoGO4cZTM0H8bXUEHT9p/z1p6Zv05kzah/WxCbk I+x0S+EB/iuPiH6/0lP7dlmvElriici4nUzvgn5BvpWUihE0SLs0Dg+Sy1xpwiX9YdvmxURr 6VHbDc1GaRNGk4EbYgxpE3/EsrcpuQ+I5pGoYQYTgAmbFoRaxUOLdiZSWWw7otsHCNdVr4DI FmVA7zwbOSgpdLKqO8/zabrv0+UEtkvTkV/iQPfdKCDpPllvkfqB41JdOl84UeCQ/iA9B99N ptW00JS5fuE6VKESulao5CC6QgK+CSBeOmWeU3iGdnDIvzXqJBfRzRIIjCWH19/Qc+gX9Bxs AqEitBOlykDOL4n8wnuGxrkF6H4f3S7DtdWoLSrgmdrmkjfaI4PvFmSZe8dCN/o9ANmqbHI4 c63nWvPh2EBK3WmhGQtt6oNxukO/WcYi1yajYigMDjEfJZ2WNR2Ggwf32nxbBhYhevPNpjo0 d67lkoO1TPZxZEUGD22VyfVDQ9Rjlcu3DH7JKlNAnQohjtgJja11Q/fmsiYZaX9c1BJiaJWs jGI7AKuwwyJf5a2afbZn4lslO4jITw9QGE3SJlNcMamGd9CvFUCPBgDRbaoG0OOrB01FuhY+ +dSg2w0WXMbSeYcmpuIB+4XyBZupAjCHTAyI88NQM0C3KxZcBunJJ59L+5P2DAVfZYmpC9td m5y1gBhOs1UW79r4l5tpulbVDGbQ+FdtgZPxDki+KpMFI/btPQKX6mVCMsC9HN/f10W+zKdb coWHTkkxMNGbUsZKx7XIJRWgwLqt+PZ8t0QO5/P8q5KNb89caskCuk/1a5vznT6xqWgT5viU ViKAgNR3AAoD0l9Y5QjJCc4h3WKc4AhtUpwJyKFvRRQers1ebR1f2D2bGJftMollDnsKiIn+ boud61hJnjqEXq2Ak6AyBIshsIzO6dr7aw1x6Y4b4RsSSOU0SKGOZZHu7atioWVu4jhhRrSW ST3QgFCbl+0isV3Xo9ojbK5Jt66Bo4x8mxyOgFzdlwgGoj1Aj4iZxumhTUhgoFNKGtApiS3o pOYCCGkloDJQQkDQiXEKdHqyCoQ2JlVZomtbZc4QUbtaSae1hw4jV18wv7dIrVwg1yY+MNBq h0BuvEUc0m8Rh/RnjSNiSfxSuJFB9fkiTpTioDYFJ1K0zZA09Bw4wBKUGFPSjJSkB5T6ukm2 fOtBvAUAvmd4IrJNgEMuJxK6ruu3dQLxxxKtZ/rLUXQMhqqWCz6kSBtOuGhYb9k01Zu8mckX 0ytfThyPNfmPMTpt22SbVYvCRXK8ST4TX287KWYM/C8PRF+Pj5DvD9pAnPnBE4nXZumaKFyA abNFq8NAPCypQ0kB13WhptUD0hYunPRy5llxl9O3dACnazC7vQLn/BeZbRDQartKGr3GMkmT ojA9UzfVIr/L7pn+WCqsJE013WsXVEDk32tVbRotusJI1XoP1ZaVzNy5WZGlVakNjkP2hU64 LkdEOc8bfZgsm0khq6Jq8mpLXVAAvMt3SbHIcTm8WmEUrZd1d09d4ALyOSnaqsal7PLsM6s2 OCuNaNJ9Y77JBYYcAgAYapJZUhH7X4kpSTug7ed8s06oexD5qhuW85mJYqtyepH2gbNVYrbQ CZtqV+ntAZNDffZpA3aVpyX/KHQgEclStA2Z1l2i98siYWvc4U0mh6Le32WeNhUElzCVVsHd jpphXVC3RZvLYYDeedNqo6VqWpGiXp1zyQZCgPChp3SYQuQzQW9knbVJcb+hnXcEAxcMYKFj mOVFApFJNygkTAfcM2liqH4nhXxt1tZNzldZQ50sySdvzpKSbdWk0oKYlQQnBEyFJJ8auc2S ckLKCkigmjEN2G7qYqu9cFPm+oBcgW9DwozCjpVJ0/5V3XeFjcufQr/WS22+o9y2BVTVLMs0 OdWu+ZTTXhJy734+1MzFrJ/zvKzaTB8t+3xTmqr8kjUV7paeIoedynq/4MuePvdlbKLDejvX P6Ogd6mC5C9tRSy6IEL9HSSxUI+ZLJEGgbMYqtBg96EQB1WBzQ/VOs0PRd62XIHJNnxJQwIA OAhHgA4tSxxTo0wP86JK78hPzeCWU09ejJ4FQ9+JpsSBP9niT3h6tj6/X67m9INStMxjQGIL lG5wIPF53C5L/RWMgTU4tuXP5UFTFQZ/Zc6SfuIl0511WLNPVDP2fCFA8qXk632bp5Sl1Cb7 DCuJMj7hlzR4pWgHKepV+94RE1KaC8aKvnUWnPMGrB83YO62/gxeG5tVNs1TD/auhDIpSkiY G3g+JT4ELOxtLa3tgohcxUcy7RbU44FHbcAG1FITCghq5zGn95BMyWQsCwdzkMVDFAZvUhCQ fXov1uE+HRRnbAYOc6/SzdaxA1dAOu8KuPdk50vZlk2qmIZfw/jUMVjHU9vxmBX5Zp7Bt8nU RLjytRy9p1vXj6ef7JrnpWBo0wQcxkx1tUXqx/Z+2tlEgoTpuPR/mMpVw6Bos0VYCv39dHr5 9zf79xkXt7NmNZ911uMfkM6JWgZmv40L4e+KR4HoMNAKSq3DymLPe1ob+OA8r5FkVJA+KuZk SgaOenghqGxVurbYw0sPi6eH9+8iN2J7fnv8rskF9OXbyBeHAkOPtG+nb98oAdJyEbTSDBw7 PEnTDMJi5XwJU1TQxLbvueRK8qLIFCPqfv/78O/H6+yxs4V+fz0eH7+r2TqzRObCGdcuSYLM 6u2a17lpmSnfKmKsq6KgE68itu2ibhXvMozON9ieBoGLLG0L0qBWZ8v2rfmNCq0QA5thF6Ax 1XdgEGZ4m3ZfN0ZQWs9iDYj6VP3TTZseUH5FIPQr4fAOQFynbcXuqQEEKORG5XoQLqcj9lbh /3m7PFr/waVeiXfB0c2Oyk7Mkdmp9xxDQx2eyTftUgYSNDRVMICRtf6GAjAlUBeNbXa0hgUq I7RqMk37p2SMDNURtgOS+dz/kqlK94hk1RfkETIi+4iMgdUzLJjt4shVGDmk2abdGg6BVFYy FK3CEITO9JUg5l+M3JlHQAtDoAJqgCwMkG/SMD916QARHUfOCtuxIv0rjxAZq79n2XMGf9oi EYnaIT6XAGR0NwpxA9Mzxkcil2p66dltZHD771jmn1yHEmjDEJ4kglQQ6XhNdDjjamNMpqzo OZalMBUiGt3wAWuIT6Sw+BF1l6KW4fhU6VnpWg6lkQyP7jgDORAAcWnFcmSJItJ9cOiYBZ9S 0X8raayxKCA/IR0eQ2Xwpp9HzF6Heg+B0DqiykIGu0MMxOwEekxP5yC2g2kzmzi0bIK893w1 oRyayR75eaQouf59+FxxbPLicCglrVEs56bFJrzKlwOtayrMib7k251r0kM2KjQNOSdOrz3d 7ANbRPyRybSfHi5cxX2+vsLwr+RExMfgdN8meh3oPiF6QKpHEOC6zHHqRMxwY12IYsOjoWPY yqg83i/wRLfaEHrE2iSyf3pk20RszmvTvL2zwzahVikvalXrXJXukhILEJ+OwDmwsDJwyH34 KOa9iJYGTe2npkApHQsMQjKuS4dPI4qrCBmuVBn7fUgZMX7PL3+k9fbWlOpu2K42etnyv24t JKaQN4Mw6AOqTrt8EndnuGhkR649v12fgUNGOjWqBATIBeV36nnEofl22fsSKXun+016WOZa TOPPgk68lyzmUFa77LCp2nyJJm2HmrXsjqEPF0J7W3RM6yypNYY+ngN+l2ELud0vcgYn/ej4 eOF5IZk2EBxeEpbmOTino4OrdGFwBIEQKODJPi/Ak/QmC3Wfo+D9nc54eEuGQ90tcXxJ+M07 P+db/q2B/VAit1W40+59DjFVK1lQ4PSDLHhdsfaQV22hpJEXRO2nKECpR9BYytBFhaTCTRXr jrG7sBLTA2Xw63k//3OZrX++Ht/+2M2+fRzfL9Rh+i3WsfpVk92bUrqkFVwV09vrNlnlG3pw 9zOSuqcAT/S0ULyMBUW+cAeMI/Yz1w02+rF8B5ZJXswrJFCSooWo2CUnU6Mchgk4B6uPSKIp YFBzfD5fjq9v50dC/GRwPzPZzw7UQzrZ0nbfhihV1vb6/P6NqKgumRo9Hn4eNkyniOANK3yv piNA0NFu8Cu+gLgdUker0tlv7Of75fg8q15m6ffT6+9wpPF4+uf0qFxmyEg8z0/nb5wMPoXq ytNH5CFgGX3k7fzw9fH8bHqQxGWmz3395+iz+On8ln8yFXKLVfCe/qvcmwqYYALMXh7+5uUV p8tRovOP0xMcgQ6dRBT16w+Jpz59PDzx1zf2D4krMxasiPLJGN+fnk4vP0xlUuhwxPVLg2Js QA1BsnbLJvtEzM5s36biJkl254/L4/nFmDBCMouMGyJkwbMGLFkSe6ptYkfvQnBiohK9fGjq CLmuTyvFI4sp6uLIgeM5dvS63fi2P21k00Zx6CYTOit933ImZLjn1EOLjhD/5Pxfl056wGVV o5w8C8fLxRLSnOTKfXGu9hkkueQqx1INKTbSDumcYgVFxkSX3vJq4xUcbu264LiUQOeMd8t8 Kdhx+d2xe7boG4tQ+eeSkc/g9+qrZ4cacml3LI7KwnVEPfxGR+7ZDU3rQydIofn4eHw6vp2f jxdNU0+4LmcHDukt2mOKxXay2Beuej7YEbAtaU9ExqfzMpGJR8ffnjX5PXkGaKjwOVf2fUtc cBQ0VS9DQbSSciuKpiWNVMy/SBx12i8SFGqUD7dmofaVIGCz6OW+YGAJmyyNTgoKi+nCXbGa kK10Kfuduz1boJNmQTCYwUtMs6K/26d/3dmWTSZTSF1H9fYryyT0cHTejmQKGN6hmhE8kAMy OClHIpwSoISbXlsP5i2pOkE5FCn3KR9UPiIEDm47SxPXsgyeEBxzydjprL3jG2zV24MT5kkX mbLXUPBclPPz5YGrLbPLefb19O10eXiCmx2+Kl3QwpQspJsOZN5qE3W6hVZsN+gFOM02GP0C FNPHbxxyAtogHaCYlhIccLS6nZhyo4LE5mGAGh5Yk9+HfAmBy/twDFrJIwM9kjkLH0DaQ2EQ HQxtD9UpDb9jW/vtot+RmmyZ/44djMdejH+rfi1dfh6ZqEOhgbxRaWkKsWNtTFznkaf6VK/3 yBNCZijEj0BOZA87GwsSecwmkDjQnlZ1C1BmLOzvKbMUG2aKBMlMG5C6WE2JCgRXvTUBM/xA fT9IsosTHnGCh23egRSTOZOFVXKb3XUxmvVcKZCU6ostPwNlXJRsIf2p+gQkHlmkVmTTYryH DfcQPewxy5A6UnLYju1S/dehVsRsqlm2EzHLYFvTcQQ2Cxx6qgsOXjCZRlWCYYzD7XaPuHZm 0Q7KY54Wuoc53hap56tjAmgsdSxPGZN9OpASjXORC4RTVzUid1FB9v3H7iXwNWmryuPl2/nl wjdSX/EWcwJ2G9PXJ7430SR25GJhtC5Tz9F0/mHrOhQgNbSH14dH3rwXvkm5uTKENl5lbj8s 6/h+fD7xzWp3FqoW2RYJ10vXE4tMCWRfqgkyL7MgsvTfujYmaNqqn6YsIqdtnnzCy3tdstBC ma7TRZ83RqNh1ydBAnNf5CMOduoNWCuzVY2CF9TMxV5EQDD59glsKHs8e/sSxXvyU0+6XZ5J n772Z9Jcl+8iVCE3mF7tk5sHnKFXg8ftwWjqSpavbh9KNqYQdQarLGBmaZkrg2S0q9UxeaLD 6r6m4S3QFowzdDWtt3Qc2WkRaP/Tag2lMaS+a1g3ZLqwyHJ68JnyIGc3Pct8Sw0+DblOAgv/ xtqEjxLpwm8v0H4jFZ1T/NihjU4F5lJbVUAs3K7A8Rp9kgE5Coy7CoDjwLgv4XBI5sUTQKRV FJL57AWAGyp1NeV3aDWYgDOEc0nnkhf3XNRGalSNBfM81bGUKzN2gD0DQb8JDAt0GTgueRnM 9RLfxipQWnuhLtMVLCZNUvjitki4BuCAHSha8zjZ97HSJqmhS8rIDgxsR53sV4f0MK2/fjw/ 99FOx4EuZor03esDN+LZq2DyoIEyy5pwDkc7SHqgJnTRqI//83F8efw5Yz9fLt+P76f/BdvO xYL9WRfFEMDv6fz472x1fDm+PVzOb38uTu+Xt9PfH3BbhU84Yl/PmNCL4WtFyGv67w/vxz8K znb8OivO59fZb7wJv8/+GZr4rjRRFRVLD0UKEITuo3a1/3/LHiNsX+0eJNC+/Xw7vz+eX4/8 xUfZPbQJzncs8tZOYjZeBHsiFV6gOywKtAf2DXPI4C4C8rAWOS9XdkBvJZb7hDl8n2GQTsri t7pvKu1EZJyO9da1/Mk6jgd32xWR7HP64ipvV3wnQmcSMHe8XOKPD0+X78pC2lPfLrPm4XKc leeX0wUrYsvM87BHtiSROdKSvWvZKPGmpCDZQNangGoTZQM/nk9fT5efyijqm1I60oV5vFde t6SYWsN+xcIOsguu3ZP5BpHDEIR7bZXoseuWOeq6Kn9jRaCjIQVg3W5RXvs8RMdA8NtBSvTk taXc5OLiAobnz8eH94+34/OR7wM+eDei+Q+zAZ1vdqRgSgr9CQmr0bkdTH7rarWgoddd7isW hWoTegp+dqBq+sJduSdX8XyzO+Rp6fG5rpStUvWDRISZ9A9g4vMzuDo/FR5jOXIOF6wMFoxW v698QXXxgm/RhRUmqONyJg31Rbjz6fxY/MVHMjooThZbOEZRx0EBUxTN8MKFGCC0JlYvWEwf QApIi8GQsNB1DImr52s7NHiyAESuDGnJi1NN/oCAIwhyiksa73EgCNTD2VXtJLWlXjxJCn93 y1KvXSAFsc27RY0w0G8AWMGXGBupoBhz6DMJAdoGzU09ZC/odUBhqRvSKuAvltiOjfqmqRvL d8j4Il2bu+SkiubaoMS5xY4PFi9VeoLLeL4eaFIfKGhzsakS3Z60Q6q65eNJqaLmzXYsTGO5 bavNgt8oKlV757paFJj2sN3ljEys3KbM9WxFQReE0KG+Yss/lE/a8QkkUlolCOoRLhBC9caK EzxfDQmzZb4dOYpL9S7dFF13jnt5QXPpsbLLSnH+dAUkQ0LuisCOUDVf+KdwHN3MrxNbWMRI o52Hby/Hi7xLIITPXRSjxeXOimNVFHV3Y2Wy2pBEXZCrkCE9fLJybTVCiTJJ4LGsrcqszRqu oaE9VJm6vkOGO+rkuahT6GSTHX3f0mswb60O96NrXaZ+5LlGQDtI0kA9iFMHNyWfC+aFTGMz rWX3SZmsE/4f8/XR1ZtiUQNADg1IXPv6dPyhGV0geqfQPD6dXkyDSD1X2qRFviE/oMIl76sP TdUS8SiGFZioUjSmd3ab/TF7vzy8fOVb15ejfny0bkQ6h/6QyzBqRHDtZlu36DBMYWjBg7eo qpoqCCsU4HpEc3VvRLe7Uw1euMItzNAfXr59PPG/X8/vJ5FQmNiWibXOO9TVzVWn85mXuYvB 6TEzyI3b9aNd4+v5wjWi02guMGguvqOK0gXj4gvf2fiemlFQECJbJ0yOTyz6kogjtouvgLDo Fhya6tTWBex3ru7OtBckX55/RVWjL8o6tvtFwVCcfEQeHLwd30G1JITyvLYCq1ypArd2sMIP v3UFX9CwPUKx5isLmoaLmuuaNzZUMgTPKKBr9RPmaW1rG8i6sNUgVfK3vjJ0VMOiUBeujXeJ JfMD+qKOA244EeJao1UqeQIsEU04t75Hnh2ua8cKlDK+1AnXaIMJAdfUE/tK+mMd/cuP24OX 08s3YkAwN3Z9tYgpczemzj9Oz7Afhan89fQur3cmBQq9FquM+SJpIJpFdtjhC9O5Tfu81Fya jM83y0UYeqqazpqlhaMF7mN65HHAx7oUPEvNd9CxXLQx2hW+W1j7YbANXXy1Izrr2vfzEziS 37w6c1isHVo5zDad79woVi5hx+dXOFHE0x/Ldyvhq1JWUk4NcCwdR1is5uUBovyUVVptJxHD unkNxSkPFfvYClQFW1L+r7JnW24bV/JXXH7arUpmLMVO7Ac/QCQkMeLNAGlJfmEptmKrEl/K ks/Z7NdvN0CQuDR1Zh9mHHU3cUejG+iLzZ6rrNRZNvsdghDK6w4QI/fau4IzkTQbUwhbnsYr qNFlG4LdHJfEGPVll8vQQTgRNyojZxgfDt0xBGuAwLlb9umtGSgxqdGQXTpwDl6hbV4lijR1 j3u9D+frE/nxY6+MU/tmmCw9gO7N/OBHE7EcRAeWy4ijb4AjUEdZs8Ak9rWcjJGY2opQRLli zfgyz5q5TCK39A6FRTi7xGmmNbgYgov2p8lsE0v40aSlxfAE65KHsJeH99fdg7WN8lgUiePf 0YKaSZLD/MCgR+SOMkV1pxqzfFiVr7j3UwtjlseWzj/XcLSMd6LWaHJBuZvPlyeH98294rGW g0OnuNI5HrWkVc3JjhBFdlds5cxKCtV6EpQ4JiY/XH/RjXay2Ux0VHLgUO0Iu9wniWdti0jM wLQqPPtMhfVTxrb1TQXnd7zHdg1rqylRwNdciJK7VdGCzxI7TIax/Q36ifbAbFqTY90R5Ekh 25GHfdvkvmGeWa4Yswdaterv5CxVJ/R8yGq0RZl9uxpbU9MC5ejc9TFHeBhRJtSowiiZSWEt Z/yFfMezFZdpkk28IGEA0r4VUSXSwcUo4N85j6joEzBHSGBZHHfqUGQnVcu0Z1HfVeUwNBQx QWFlHtPitWtRrx/zdhifQvEga/DbxHO8Aa2qZELa7QRQUmAM8g7CV9W4mTrhPlpQs2JVRa1D wH8JP/mi6iskZjaO0uHP4EiNauFETgHMeWNbdbeAvriAdqgULxKXgi3qPKnalL5dFd8nsSOt 4e/BDHxQXzaJYLs79u6CJzC4gJvSh933AGW2u0L0bcHfJg/ireXGjvCbGnR9h1cMDbNDMRDy DFFFjumGGxkJ3zzEIloyQUe7ROSwd+RsKsd0nyeVHqm+dwbizHJ/ehssDLrKkljxGc73kaIb zMcoGUz2ukvg7JU33HKNZxJmlNrxfR18iqkhtduoOQuTVPfbYcLjoenHdtgH8dBCx/VgD5iB 6IB3TVFaOPR/bRCc2KEcM5ATMNDVegA/RcfFSKzLyj1TbDAcXjNnrwMWB4CciqnsXGqNyOED Eg3QkaDs8WIaQc6O2gVEfQoeVdawsboqptJlJxrmsaxpjeFvqfkpoHspWzuLtYdh0NJEwLnQ wB+7AxQJS5dsDTVjTKYl2TPrK5Tl6NBmFlHGocNFGfqYRpv7JzuzeM6rnq04kptGVIy0LJnK gM+1oPCTgAJTShYzwWgJz1ANb0JDUUwwJyoo1ZI8fZEGF7Qznz30SAUW0UBbOxtPNZp6ZOPP IPz+Hd/G6sQNDtxEFldfv545S+57kSbcCjp1B0Quf6jjaXBwmMrpCvVVWiH/nrLqb77C/+cV 3STAOc3JJHznbYBbTUStAYZJg6cMpD6VC6pkIK6ef/nWM6K2/D8uxHyTFOgiDpre9enH4eel FcEqr4jj0kg4x3qmlcP99uPh9eQn1eMgQ7ACLNwU0QoGKo7DMRQQu4hhhRPglh4qmidpLLjF Hxdc5E4y4lZpslV9cmD1H3MO9tpk2C9LKkykDm+AwcF4RhWbp1Zj4IeZiOvT3f718vLi6vPo 1EabOW3O7dtAB/NtGPPNidDh4C7JOBceydhtq4W5GKjy8uLbcJWkQ5NH4hj8eTjaRtEjouM7 ekS0S5BHRL9yekSUEZhHcjUwild2BkAXc3E2+M14cICuyMx0bmO+nbsFA6/DVddcDrRkNL44 G5xQQNIGFUilgl0MtMfUOvKLNgjqLtbGf3Gba8ADnbugwV+Haqdu/mz8FV37aKBVo3N/yjoM ZRKABIsiuWyEW5yC1X5RGYsaOIHIGPQGH3GM4+sOgoaDqF6Lwh8HhRMFqxJGaxYd0VokaZqQ vkItyYxxIHB7ouCC20HLDTiBtoIkTPUyyeuEkjGcUdABqj1MVYuFDl5jIepq6tjKgOaJC5t6 RC2apXOn6ijz2tJ/e//xjjfxQcgblRzij/0LRM6bmuPtgpLerLEvuZAg6sCsIKEA+Z86QipR A03ctGknzLGutYAADr+aeA4aCNd5EdzrlVYzb+KMS3XlW4mEvEYJdXgDmdIlgui6LAQZe9SQ lKyykwzg/SXIIjHPoROocqDs3Kik80wf9f3jr09GWxfgy3ukaDKY2TlPy6H8yaZJacHiciDB SEeE5gjHKSSb4u15QpvfWrVFi7hY5mild2ygcEcgrXuJNXPnowOhd2zOYM1zCsnkOgPFBG/o 3aXZk1gLTDg6aJIx5wdoOExCPU0ZiSaJV9ejM+teDvD4FpOyis5EgQT5jKSxKGTSk7iVGxG2 w57unjef97vHU4pqzuS8kXPmHDkUwfiCOtJ9yuvT/dNmdOoWtRT4tFiCPhFRGjeSCM7ilsLt DStLwbzkLwouovnxIs2XzaQG6fdo4Yr1gLoLQqrIlgz+AcMrgyp96gVfcZUbkfRvoL6A/Van XenHKHVzj7djUhQV+kEPvEbYpFAxFDXQzGMLu+O4yIWzpFK7CGNbrNW4VkneFAK3ZJHHTKz9 tk5SFi1QCTblDDYVWUyzujijZDV7Tw1vVCCCA6TmDWciXavRIUjiRLIJzMG8wj92e/ktxW3M 6u7PBGaJDMChrk9/b14e0FfkE/7v4fXfL5/+bJ438Gvz8LZ7+bTf/NxCgbuHTxjB+BHPw08/ 3n6e6iNysX1/2f4+edq8P2zVo35/VOpXiu3z6/ufk93LDm2Sd/+7aT1YOvaEc1Lhi2Ve5O42 QZS6/Uoxa3LbDzIemiHF5x2L0j7cB9ph0MPd6Fz2fFmguyOGBaTuA62ZYioknuu3qWEZz6Jy 7UNXjg+qApU3PgS2QvwVdlhU3PYoJR4U5k0oev/zdng9uX993568vp88bX+/2a5PmhjvE5n9 nuaAxyEcmBsJDEnlIkrKuf3e4SHCT+ZOTiILGJIKe3P3MJKw08CDhg+2hA01flGWITUAwxKi IiNIQYBlM6LcFu4ExHRR3XYfjnTofcBXlWAhuUs8m47Gl1mdBi3K65QGhp1Sf4h1UVdzEFoD OLbIX7VNG8HIRI39+PF7d//51/bPyb1ax4/vm7enP8HyFZIFxcfhGuJR2AoekYQxUSKPBIL9 JstsHMCAs97y8cXF6Mp0hX0cntBo7n5z2D6c8BfVH7RI/Pfu8HTC9vvX+51CxZvDxn6bNyVG 9KFo5u84OpqDCsLGZ3AIrweM4rtdPEswCm+4X/lNcutc7ppRmTPgts7zqY5Ap7wNn18f7Btw 055JFI7ZdBLCqnCPRJUkpmZCbJlU0Pf7LbqY0m9tLbqERg6P08p9yjIsgK+XgjQ1MTtnbqYg 3CcYrbKqs7BzUia3Zh3NMa/GwKCCChyM4DxjEdHQ1dHO3eqSjJ3odn8IKxPRlzFVskIcGbcV yd5BrFrwMTWJGnOEdUGF1egstqOsmU0x9yKhmpkldkHAPWPK37BDhtOXJbAReIp/iSpFFo/I W1Gzu7TCEgBBSSFKA8TF6MggA/4LwacIWAXy0aSYEft6WXpVaKa0e3tyzEo6tkFtB4B6URL9 uS2WKtpwuBw0os9AEywzlvE0TWj9vKOR1dFJRgI6Jow5RPiRhTdVf0P+1PJagoOKEoPUEfOZ HVls1bKYOpdaLrwPjKEn6PX5DS1yHZm6683U1a4Nn7wrgtIvz8MDPr07p2Dz8FS9k1VsWiRA mXh9Psk/nn9s3433OdU8lsukiUphW+KalovJzIv/a2MGmJzGMTJ2rk1CnTKICIDfE0zEy9FS slwHWHWxkORTX/b+vfvxvgFN4/3147B7IRg3elfqDRTCW/bXJe/1R8aiIXF6NVq5f4dI6K87 OcYqIThmHcLhsUY6w3pBZEvu+PXoGMmxNnen6HCfe2mHJOqYqzeJy3Ap8NuGVVkbaHEYS4mX PRbrOzsPhxkpwpjZ9ucZpoKNmtmKsuBybw+aal3aNo49sqwnaUsj68kgWVVmDk1vD3VxdtVE HNo5TSK0ZPPN2MpFJC8x1ektYrGMlqI3v27L9uH45TfY3VLiW1NXrt5C6Ln8U0nNe5Ujbb97 fNFm1PdP2/tfoJj320m/xg7f/oR4eX166mG1umT1NPg+oGjUWj4/u/raUZrrI6Ix/fWwLu4/ 3CgZ+4N/MBCt58UQt9G3BeVN3yEDaSagoAETFdbNMxqkMQEk+cw929GY3Gtli5kkIE5gNHhr zIyVOEgaeVSum6koMmNnRJCkPA+skKJCxOTTE+bV5aCMZhMnAn1nmB4lvmWlQXlgECFBwQLm bu/OaPTVpQilTCioqhtHBIi+eMo7ALrMBAOihiKB3ckna9pz2yGhn7RbEiaW9BW7xsMMOY39 6hzo0bkrB0ZkhsRk0sn+PaX1rNxJ+L1RJsvjIhsYh5YG5A2UZLx86QhF82sffoccHI5aV5xR 0EDIAemGKBmhVMkgz5DUIOXQcLp9IP8Q5ApM0a/uEOz/blZ2MpwWptwZypA2YfZktkAmMgpW zWHPBAgJrDcsdxJ9D2Du1U3foWZyl9i3XRYmvbPflCzE6m6AvhiAn5NwJXEG+9x+VDRMyk5F zqQsooRVyS2HcRHMzl7OlF227Y6BoNjuRs6Bs8d4l89K9QppH6r4noNfqJtaJJp2zsJWD9Sb RtLZSHd7xkE0cjDxiaq6Y9/U4+Is1cNgjU5aTNxf3c4khrAqQKV1GEV611TMKiERNyiQWfeE WZk4CRmJl8pC5Zqfwblnh02X6K9TWCVJYFkOr8aX63zWN9jxI/SOvn6a8xE+nBexkjvcZwoj RCjo2/vu5fBL+9k9b/eP4Ts/HDp5tWjQIdsSfjQwwgi+ti6hM442IMClcDCm3RX0t0GKmxpt FM+7gWyloqCE834VqHehtgUxTxn1fhivcwbT6NviO+DGNcwDoXCCb3YNFwKo7EWrqOE/OOsn RfuU2c7B4AB22unu9/bzYffcyi17RXqv4e/WcPeLXNWGehVlFimgZcoy/np0Nj63F0kJ047O U5ntO8VZrG7PAWXta44edWjsC3vYXsbt5uORMrrOEpmxKrJuK3yMagga89uJAFQLyyJpvVO8 fgFTiKADnC1UUHxMMkWKf/904NTIKSV7d2/WeLz98fH4iG9Yycv+8P6B8X+cIc4YKhggjwoq m0TbUEk0XirWssT/H/lQvVkougyddI6Ugy9+REH1RHr56BGATobkVWuk+K6mmUCNsQy/1XCS q2oCOU/ILLcaGye3zR13Lao0ps5hkYH6Cats8OuJw+I0jOfq6tcrjaXAOTOeUy1B9tcOjcUE /9HcuzOEtrM8DacFzVyDG8D22bQr115HylgQ1CMMM+tHwnBKRkJ1KJE0qhjYMbLIhx7YdTHa Jp26opNpPTFEzspRiCFD+3a/q8fnGvmu82U0h9NeI3keayeYI40beHxXA6uShahHauuw0Mt2 wXDew7sPjUVTKzz+8kI51YDe2bA4boVJ/2m7nyO/bbC43a2ur/qR/qR4fdt/OsE4jR9vmsnM Ny+P9gkINUf4uF447i4OGD3eaut+RyPx0MSk0Ged/FxEmPY55hXMoy2lYYrpEOkcecpQxCZU dVBq6SBx28qzfnawqmZeo7kSkwv7JGhNggyq68tofEa1qyf8z83yaLtWdcUub+BkgfMlLii1 W/EB3S0nWsfR2dTWjHCSPHzg8UFuZ73ihz03FJ7wQDH2EUTp/kLEUVxwXnr7XN9k4Pthz7/+ a/+2e8E3RejP88dh+z9b+Mf2cP/XX3/9d784dbGiarK64iv7UrVd+W0SNB/ek3stFEvpWfh7 BFpABsYC3ThC1jp6KaH+eKZC5UkGCx7l5SBVd78mlrrNx5RqGU2dgmwe8f8Z3UAYEzegZM/o 5isZCJg7nIQS9CNYQVr/H+SGC83GbT3rllNCpsWkfunT7WFz2JzgsXaPN2F7fxngrZo/0SUF lLNw4pXrWwJyIbV31bnSxKxiKDWjl3HiWhcdbaZfVSRgnPIq8SLv6eeTqHZ2p9n07rQa+Taq MV9Lak23hRlaUxYJulI6BdifC2arrgjiN9JSXU3MEKfFfl+Bl2mZVwTSrqteqG0AwgTqzFZL VCtAB3X2sGQYd9k1UFYgs7iozdESYNIrJ1yLhuuEflGa0MJXS6V/2W5dLaLLl9lkVbUmyrcI 4iG75oByUkTzcIk8f738Ra2R7oSxbj/6s1Dp0den96A1vP7eXh8Of+TZp9HV+OzstJ9Lr2hb c662+wNyDjxTotd/bd83j1vLHB4dvO1ua49vNbekH1bvEW7ZtCsYX+lxoHDIZzwvcrNvUW9V Qdy+ay3NXhytT5xBDSsRIGVFxW276Eo3OyWoMnj/jNUjY/fzm/qWhPR4BeaG+jri/wCOoRgH 1l0BAA== --YiEDa0DAkWCtVeE4--